diff --git a/CS410 Project Progress Report - Enhanced ExpertSearch System.pdf b/CS410 Project Progress Report - Enhanced ExpertSearch System.pdf new file mode 100644 index 0000000000..853412ab75 Binary files /dev/null and b/CS410 Project Progress Report - Enhanced ExpertSearch System.pdf differ diff --git a/HybridProjectProposal.pdf b/HybridProjectProposal.pdf new file mode 100644 index 0000000000..4c1d37b00b Binary files /dev/null and b/HybridProjectProposal.pdf differ diff --git a/src/FacultyDataset-idx/fwd/config.toml b/src/FacultyDataset-idx/fwd/config.toml new file mode 100644 index 0000000000..05c2dadfcf --- /dev/null +++ b/src/FacultyDataset-idx/fwd/config.toml @@ -0,0 +1,15 @@ +dataset = "compiled_bios" +corpus = "file.toml" +prefix = "./data/" +index = "FacultyDataset-idx" +[[analyzers]] + method = "ngram-word" + ngram = 1 + [[analyzers.filter]] + type = "icu-tokenizer" + [[analyzers.filter]] + type = "lowercase" +[query-runner] + query-id-start = 0 + query-path = "FacultyDataset-queries.txt" + timeout = 120 diff --git a/src/FacultyDataset-idx/fwd/corpus.uniqueterms b/src/FacultyDataset-idx/fwd/corpus.uniqueterms new file mode 100644 index 0000000000..66c5b08b4f --- /dev/null +++ b/src/FacultyDataset-idx/fwd/corpus.uniqueterms @@ -0,0 +1 @@ +141119 \ No newline at end of file diff --git a/src/FacultyDataset-idx/fwd/docs.labels b/src/FacultyDataset-idx/fwd/docs.labels new file mode 100644 index 0000000000..ea01c06ef5 Binary files /dev/null and b/src/FacultyDataset-idx/fwd/docs.labels differ diff --git a/src/FacultyDataset-idx/fwd/labelids.mapping b/src/FacultyDataset-idx/fwd/labelids.mapping new file mode 100644 index 0000000000..8d0b628d4c --- /dev/null +++ b/src/FacultyDataset-idx/fwd/labelids.mapping @@ -0,0 +1 @@ +[None] 1 diff --git a/src/FacultyDataset-idx/fwd/metadata.db b/src/FacultyDataset-idx/fwd/metadata.db new file mode 100644 index 0000000000..92be45dec7 Binary files /dev/null and b/src/FacultyDataset-idx/fwd/metadata.db differ diff --git a/src/FacultyDataset-idx/fwd/metadata.index b/src/FacultyDataset-idx/fwd/metadata.index new file mode 100644 index 0000000000..5567cd1bb9 Binary files /dev/null and b/src/FacultyDataset-idx/fwd/metadata.index differ diff --git a/src/FacultyDataset-idx/fwd/postings.index b/src/FacultyDataset-idx/fwd/postings.index new file mode 100644 index 0000000000..3b8e9a6621 Binary files /dev/null and b/src/FacultyDataset-idx/fwd/postings.index differ diff --git a/src/FacultyDataset-idx/fwd/postings.index_index b/src/FacultyDataset-idx/fwd/postings.index_index new file mode 100644 index 0000000000..7d56c3105d Binary files /dev/null and b/src/FacultyDataset-idx/fwd/postings.index_index differ diff --git a/src/FacultyDataset-idx/fwd/termids.mapping b/src/FacultyDataset-idx/fwd/termids.mapping new file mode 100644 index 0000000000..906b755517 Binary files /dev/null and b/src/FacultyDataset-idx/fwd/termids.mapping differ diff --git a/src/FacultyDataset-idx/fwd/termids.mapping.inverse b/src/FacultyDataset-idx/fwd/termids.mapping.inverse new file mode 100644 index 0000000000..5cbe3f7eaa Binary files /dev/null and b/src/FacultyDataset-idx/fwd/termids.mapping.inverse differ diff --git a/src/FacultyDataset-idx/inv/config.toml b/src/FacultyDataset-idx/inv/config.toml new file mode 100644 index 0000000000..662cc75206 --- /dev/null +++ b/src/FacultyDataset-idx/inv/config.toml @@ -0,0 +1,15 @@ +corpus = "file.toml" +dataset = "compiled_bios" +prefix = "./data/" +index = "FacultyDataset-idx" +[[analyzers]] + method = "ngram-word" + ngram = 1 + [[analyzers.filter]] + type = "icu-tokenizer" + [[analyzers.filter]] + type = "lowercase" +[query-runner] + query-id-start = 0 + query-path = "FacultyDataset-queries.txt" + timeout = 120 diff --git a/src/FacultyDataset-idx/inv/docs.labels b/src/FacultyDataset-idx/inv/docs.labels new file mode 100644 index 0000000000..ea01c06ef5 Binary files /dev/null and b/src/FacultyDataset-idx/inv/docs.labels differ diff --git a/src/FacultyDataset-idx/inv/labelids.mapping b/src/FacultyDataset-idx/inv/labelids.mapping new file mode 100644 index 0000000000..8d0b628d4c --- /dev/null +++ b/src/FacultyDataset-idx/inv/labelids.mapping @@ -0,0 +1 @@ +[None] 1 diff --git a/src/FacultyDataset-idx/inv/metadata.db b/src/FacultyDataset-idx/inv/metadata.db new file mode 100644 index 0000000000..5a909af68e Binary files /dev/null and b/src/FacultyDataset-idx/inv/metadata.db differ diff --git a/src/FacultyDataset-idx/inv/metadata.index b/src/FacultyDataset-idx/inv/metadata.index new file mode 100644 index 0000000000..4347d3aec7 Binary files /dev/null and b/src/FacultyDataset-idx/inv/metadata.index differ diff --git a/src/FacultyDataset-idx/inv/postings.index b/src/FacultyDataset-idx/inv/postings.index new file mode 100644 index 0000000000..f65e21bd8d --- /dev/null +++ b/src/FacultyDataset-idx/inv/postings.index @@ -0,0 +1,43202 @@ +') + I +$    ,C +   +@3 +> 'CF   +    8 +5 ? 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b/src/FacultyDataset-idx/inv/postings.index_index differ diff --git a/src/FacultyDataset-idx/inv/termids.mapping b/src/FacultyDataset-idx/inv/termids.mapping new file mode 100644 index 0000000000..906b755517 Binary files /dev/null and b/src/FacultyDataset-idx/inv/termids.mapping differ diff --git a/src/FacultyDataset-idx/inv/termids.mapping.inverse b/src/FacultyDataset-idx/inv/termids.mapping.inverse new file mode 100644 index 0000000000..5cbe3f7eaa Binary files /dev/null and b/src/FacultyDataset-idx/inv/termids.mapping.inverse differ diff --git a/src/README.md b/src/README.md new file mode 100644 index 0000000000..144fc161e2 --- /dev/null +++ b/src/README.md @@ -0,0 +1,7 @@ +# ExpertSearch + +To run the code, run the following command from `ExpertSearch` (tested with Python2.7 on MacOS and Linux): + +`gunicorn server:app -b 127.0.0.1:8095` + +The site should be available at http://localhost:8095/ diff --git a/src/__pycache__/server.cpython-36.pyc b/src/__pycache__/server.cpython-36.pyc new file mode 100644 index 0000000000..3331a7328c Binary files /dev/null and b/src/__pycache__/server.cpython-36.pyc differ diff --git a/src/__pycache__/server.cpython-37.pyc b/src/__pycache__/server.cpython-37.pyc new file mode 100644 index 0000000000..2288eedc96 Binary files /dev/null and b/src/__pycache__/server.cpython-37.pyc differ diff --git a/src/config.json b/src/config.json new file mode 100755 index 0000000000..2c60e1cf85 --- /dev/null +++ b/src/config.json @@ -0,0 +1,14 @@ +{ + "development": { + "rootpath": "./data/", + "datasetpath": "./data/compiled_bios/", + "searchconfig": "./data/compiled_bios/config.toml", + "unispath": "./data/filter_data/unis.json", + "locspath": "./data/filter_data/locs.json" + }, + "production": { + "rootpath": "./data/", + "datasetpath": "./data/compiled_bios/", + "searchconfig": "./data/compiled_bios/config.toml" + } +} \ No newline at end of file diff --git a/src/data/FacultyDataset/config.toml b/src/data/FacultyDataset/config.toml new file mode 100755 index 0000000000..cb51706101 --- /dev/null +++ b/src/data/FacultyDataset/config.toml @@ -0,0 +1,20 @@ +index = "/Users/AaronGreen/Desktop/CS410/expertsearch/data/idx/FacultyDataset-idx" +query-judgements = "/Users/AaronGreen/Desktop/CS410/expertsearch/data/FacultyDataset/FacultyDataset-qrels.txt" +prefix = "/Users/AaronGreen/Desktop/CS410/expertsearch/data" +corpus = "file.toml" +dataset = "FacultyDataset" + +[query-runner] +timeout = 120 +query-path = "/Users/AaronGreen/Desktop/CS410/expertsearch/data/FacultyDataset/FacultyDataset-queries.txt" +query-id-start = 0 + +[[analyzers]] +ngram = 1 +method = "ngram-word" + +[[analyzers.filter]] +type = "icu-tokenizer" + +[[analyzers.filter]] +type = "lowercase" \ No newline at end of file diff --git a/src/data/FacultyDataset/dataset-full-corpus.txt b/src/data/FacultyDataset/dataset-full-corpus.txt new file mode 100755 index 0000000000..2e03b4abca --- /dev/null +++ b/src/data/FacultyDataset/dataset-full-corpus.txt @@ -0,0 +1,5 @@ +[None] doc1.txt +[None] doc2.txt +[None] doc3.txt +[None] doc4.txt +[None] doc5.txt \ No newline at end of file diff --git a/src/data/FacultyDataset/doc1.txt b/src/data/FacultyDataset/doc1.txt new file mode 100755 index 0000000000..7fd4a52b30 --- /dev/null +++ b/src/data/FacultyDataset/doc1.txt @@ -0,0 +1,4 @@ +doc 1 content +here is another line +one more line +blah \ No newline at end of file diff --git a/src/data/FacultyDataset/doc2.txt b/src/data/FacultyDataset/doc2.txt new file mode 100755 index 0000000000..b1cda33bd0 --- /dev/null +++ b/src/data/FacultyDataset/doc2.txt @@ -0,0 +1,5 @@ +doc 2 content +here is another line +one more line +blsh aarongg2@illinois.edu goob +blah \ No newline at end of file diff --git a/src/data/FacultyDataset/doc3.txt b/src/data/FacultyDataset/doc3.txt new file mode 100755 index 0000000000..7c361970ef --- /dev/null +++ b/src/data/FacultyDataset/doc3.txt @@ -0,0 +1,4 @@ +doc 3 content +here is another line +one more line +blah \ No newline at end of file diff --git a/src/data/FacultyDataset/doc4.txt b/src/data/FacultyDataset/doc4.txt new file mode 100755 index 0000000000..4ed4ee6992 --- /dev/null +++ b/src/data/FacultyDataset/doc4.txt @@ -0,0 +1,4 @@ +doc 4 content +here is another line +one more line +blah \ No newline at end of file diff --git a/src/data/FacultyDataset/doc5.txt b/src/data/FacultyDataset/doc5.txt new file mode 100755 index 0000000000..7a8bfc1fa7 --- /dev/null +++ b/src/data/FacultyDataset/doc5.txt @@ -0,0 +1,4 @@ +doc 5 content +here is another line +one more line +blah \ No newline at end of file diff --git a/src/data/FacultyDataset/file.toml b/src/data/FacultyDataset/file.toml new file mode 100755 index 0000000000..7012a6838a --- /dev/null +++ b/src/data/FacultyDataset/file.toml @@ -0,0 +1,2 @@ +type = "file-corpus" +list = "dataset" \ No newline at end of file diff --git a/src/data/FacultyDataset/metadata.data b/src/data/FacultyDataset/metadata.data new file mode 100755 index 0000000000..44792d0482 --- /dev/null +++ b/src/data/FacultyDataset/metadata.data @@ -0,0 +1,5 @@ +doc1.txt 1 +doc2.txt 2 +doc3.txt 3 +doc4.txt 4 +doc5.txt 5 diff --git a/src/data/MP2_Part1 Signup - Sheet1.csv b/src/data/MP2_Part1 Signup - Sheet1.csv new file mode 100644 index 0000000000..e3445dd0f0 --- /dev/null +++ b/src/data/MP2_Part1 Signup - Sheet1.csv @@ -0,0 +1,204 @@ +netid,University Name,Department Name,Faculty Directory Homepage +gchen46,Carnegie Mellon University,Computer Science,https://www.csd.cs.cmu.edu/directory/faculty +magerko2,Stanford University,Computer Science,https://www.cs.stanford.edu/directory/faculty +mostofi2,University of Illinois in Chicago,Computer Science,https://cs.uic.edu/faculty-staff/faculty/ +bvenkat2,University of Chicago,Computer Science,https://www.cs.uchicago.edu/people/faculty/ +kwoo3,Virrginia Tech,Computer Science,https://cs.vt.edu/People/Faculty.html +deepanv2,Purdue University,Computer Science,https://www.cs.purdue.edu/people/faculty/index.html +ysong92,University of Washington,Computer Science,https://www.cs.washington.edu +arnavs3,MIT,Computer Science,https://www.eecs.mit.edu/people/faculty-advisors +dha8,Georgia Tech,Computer Science,https://www.scs.gatech.edu/people/faculty +dk2,UCLA,Computer Science,https://www.cs.ucla.edu/faculty/ +jinlinx2,The University of Texas at Austin,Computer Science,https://www.cs.utexas.edu/faculty +kb7,University of Wisconsin-Madison,Computer Science,https://www.cs.wisc.edu/people/faculty/ +tr2,UC Berkeley,Computer Science,https://www2.eecs.berkeley.edu/Faculty/Lists/CS/faculty.html +yuxigu2,California Institute of Technology ,Computer Science,http://www.cms.caltech.edu/people +dpratap2,Cornell University ,Computer Science,https://www.cs.cornell.edu/people/faculty +rfschne2,Northwestern University,Computer Science, +jiaqing2,University of Colorado Boulder,Computer Science,https://www.colorado.edu/cs/faculty +dtheis2,Michigan State University,Computer Science and Engineering,http://www.cse.msu.edu/People/ +annieq2,University of Pennsylvania,Computer and Information Science,http://www.cis.upenn.edu/about-people/index.php +ssolank2,University of Michigan,Computer Science and Engineering,http://www.eecs.umich.edu/eecs/faculty/csefaculty.html +mihikaa2,University of Alabama,Computer Science,http://cs.ua.edu/people/ +aishikg2,Cambridge University,Computer Science,https://www.cl.cam.ac.uk/people/academic.html +snadeem2,University of Melbourne,Computer Science,https://cis.unimelb.edu.au/people/ +kukadia2,Rice University,Computer Science,https://csweb.rice.edu/faculty +awaseem2,University of Toronto,Computer Science,http://web.cs.toronto.edu/people/faculty.htm +yuqiuli2,University of Georgia,Computer Science,http://www.cs.uga.edu/faculty-directory +bgirard2,Johns Hopkins University,Computer Science,https://www.cs.jhu.edu/faculty/ +ruiqip2,University of British Columbia,Computer Science,https://www.cs.ubc.ca/our-department/people/faculty +trrscld2,University of Southern California,Computer Science,https://www.cs.usc.edu/directory/faculty/ +yifanc7,University of North Carolina at Chapel Hill,Computer Science,https://cs.unc.edu/people-page/faculty/ +sspal2,Harvard University,Computer Science,https://www.seas.harvard.edu/computer-science/people +sr2,UC Davis,Computer Science,https://www.cs.ucdavis.edu/people/faculty/ +ammara2,Texas Tech University,Computer Science,https://www.depts.ttu.edu/cs/faculty/ +yunanz2,The University of North Carolina at Chapel Hill,Computer Science, +binghui2,University of Oxford ,Computer Science,http://www.cs.ox.ac.uk/people/faculty.html +whu17,UC San Diego,Computer Science and Engineering,https://cse.ucsd.edu/people/faculty-profiles/faculty +danielp6,San Francisco State University,Computer Science,https://cs.sfsu.edu/people/faculty-and-staff +dongjun2,Ohio State University,Computer Science,https://cse.osu.edu/about-us/faculty +guangya2,University of Rochester,Computer Science,http://www.cs.rochester.edu/wcms/people/faculty/ +mchang19,Duke University ,Computer Science ,https://www.cs.duke.edu/people/faculty +jl25,UC Santa Barbara,Computer Science,https://www.cs.ucsb.edu/people +goering2,University of Oklahoma,Computer Science,http://www.ou.edu/coe/cs/people +rchiu7,Yale University,Computer Science,https://cpsc.yale.edu/people/faculty +sizhit2,Princeton University,Computer Science,https://www.cs.princeton.edu/people/faculty +qchen50,Brown University,Computer Science,http://cs.brown.edu/people/faculty/ +chenp2,Boston University,Computer Science,https://www.bu.edu/cs/people/faculty/ +dsha2,Columbia University,Computer Science,https://www.cs.columbia.edu/people/faculty/ +dipror2,New York University,Computer Science,https://cs.nyu.edu/ +krt2,Northeastern University,Computer Science,https://www.khoury.northeastern.edu/role/teaching-faculty/ +mpathak2,University of Wisconsin-Greenbay,Computer Science,https://www.uwgb.edu/computer-science/faculty-staff/ +medhini2,Florida International University,Computer and Information Science,https://www.cis.fiu.edu/people/faculty/ +arjunsa2,Tufts University,Computer Science,https://engineering.tufts.edu/cs/people/faculty +vj2,Georgetown University,Computer Science,https://cs.georgetown.edu/people/faculty +amysore2,University of Pennsylvania,Bio Engineering,"http://www.ese.upenn.edu/about-people/index.php +" +aarongg2,North Carolina State University,Computer Science,https://www.csc.ncsu.edu/directories/faculty.php +mscraft2,UC Irvine,Computer Science,https://www.ics.uci.edu/faculty/ +siyuniu2,Rensselaer Polytechnic Institute,Computer Science,https://science.rpi.edu/computer-science/faculty +keertic2,UC Santa Cruz,Computer Science and Engineering ,https://www.soe.ucsc.edu/departments/computer-science-engineering/people/faculty +zp3,Stony Brook University,Computer Science,https://www.cs.stonybrook.edu/people/faculty +meishan2,University of Minnesota,Computer Science and Engineering ,https://www.cs.umn.edu/people/faculty +pavitra3,University of Maryland,Computer Science,https://www.cs.umd.edu/people/faculty +vramana2,Pomona College,Computer Science,https://www.pomona.edu/academics/departments/computer-science/faculty-staff +alilly2,University of Edinburgh,Computer Science ,https://www.ed.ac.uk/informatics/people/academic +travisn2,McGill University,Computer Science,https://www.cs.mcgill.ca/people/faculty/ +bgmoren2,Arizona State University,Comptuer Science,https://cidse.engineering.asu.edu/facultyandresearch/directory/faculty/ +jnchung2,University of Miami,Computer Science,https://csc.as.miami.edu/people/index.html +nmt2,Marquette University,Computer Science,https://www.marquette.edu/mscs/facstaff-fac-directory.shtml +amcook2,Vanderbilt University,Electrical Engineering and Computer Science,https://engineering.vanderbilt.edu/eecs/faculty-staff/index.php +aebrown5,Penn State University,Electrical Engineering and Computer Science,https://www.eecs.psu.edu/departments/cse-faculty-list.aspx +tigerz2,San Jose State Univeristy,Computer Science ,http://www.sjsu.edu/cs/community/faculty/index.html +weizes2,Emory University,Computer Science,http://cs.emory.edu/people/faculty/asDir/ +sudana2,University of Illinois at Chicago,Computer Science,https://www.cs.uic.edu/staff/ +skhare5,University of Illinois at Chicago,Electrical & Computer Engineering,https://www.ece.uic.edu/faculty-staff/ +zmabry2,Washington University in St. Louis,Computer Science,https://cse.wustl.edu/faculty/Pages/default.aspx +ryanjk2,San Jose State Univeristy,Computer Science,https://www1.cs.ucr.edu/about/faculty +zecheng3,Carnegie Mellon University,Computer Science,https://www.csd.cs.cmu.edu/directory/faculty +dixit5,Univeristy of Texas Arlington,Computer Science,https://cse.uta.edu/faculty-directory.php +linlyu2,Rutgers University,Computer Science,https://www.cs.rutgers.edu/ +vbanda4,University of Kentucky,Electrical and Computer Engineering,https://www.engr.uky.edu/research-faculty/departments/electrical-computer-engineering/people +susiel2,University of Virginia,Computer Science,https://engineering.virginia.edu/departments/computer-science/faculty +andylu2,University of California San Diego,Electrical and Computer Engineering,http://www.ece.ucsd.edu/people/faculty +fak2,University of Massachusetts Amherst,Information and Computer Sciences,https://www.cics.umass.edu/people/all-faculty-staff +csharma4,"University of Florida, Gainsville",Computer & Information Science & Engineering,https://www.cise.ufl.edu/people/faculty/ +wcwang2,Brandeis University ,Computer Science ,http://www.brandeis.edu/computer-science/people/index.html +asuzuki4,Wellesley College,Computer Science,https://www.wellesley.edu/cs/faculty +vs2,Nanyang Technological University (NTU),Computer Science and Engineering,http://scse.ntu.edu.sg/Research/DMAL/people/Pages/Faculty.aspx +axchung2,University of Oregon,Computer and Information Science,https://cs.uoregon.edu/people/faculty +tlee82,University of Cincinnati,Electrical Engineering and Computer Science,https://ceas.uc.edu/academics/departments/electrical-engineering-computer-science/faculty.html +rchang13,University of Notre Dame,Computer Science and Engineering,https://cse.nd.edu/people/faculty +haiming2,Temple University,Computer & Information Sciences,https://cis.temple.edu/people/faculty/tenure +bplin2,College of William and Mary,Computer Science,https://www.wm.edu/as/computerscience/faculty/index.php +arnavmd2,Texas A and M,ECE,https://engineering.tamu.edu/electrical/profiles/index.html +penggu2,Imperial College London,Department of Computing,https://www.imperial.ac.uk/computing/people/academic-staff/ +jlhuang2,University of California Merced,Electrical Engineering and Computer Science,http://eecs.ucmerced.edu/people +oac2,University of Central Florida,Computer Science,http://www.cs.ucf.edu/people/index.php +jvarghs2,Massachusetts Institute of Technology,Electronical Engineering and Computer Science,https://www.cse.iitb.ac.in/page14 +kushjp2,University of Wyoming,Computer Science,http://www.uwyo.edu/cosc/cosc-directory/ +elainew2,Harvey Mudd College,Computer Science,https://www.cs.hmc.edu/people/ +goodin2,Kent State University,Computer Science,https://www.kent.edu/cs/faculty-staff +bhzhao2,George Mason University,Computer Science,https://cs.gmu.edu/directory/by-category/faculty/ +szhou42,Cornell University ,Electrical and Computer Engineering,https://www.ece.cornell.edu/faculty-directory/ +sshen20,Brown University,Electrical and Computer Engineering,https://www.brown.edu/academics/engineering/electrical-and-computer-engineering-faculty +clowder2,University of Iowa,Computer Science,https://cs.uiowa.edu/people/faculty +sraj6,IIT Madras,Computer Science and Engineering,http://www.cse.iitm.ac.in/listpeople.php?arg=MSQw +mbaig44,University of Arizona,Computer Science,https://www.cs.arizona.edu/people/faculty +chenlin3,Iowa State University,Computer Science,https://www.cs.iastate.edu/people +amukher6,Howard University,Computer Science,http://www.eece.cea.howard.edu/faculty +srpatil2,University of Waterloo,Computer Science,https://cs.uwaterloo.ca/about/people/group/49 +jdiffor2,Clemson University,Computer Science,https://www.clemson.edu/cecas/departments/computing/people/faculty/index.html +nanaras2,Southern Illinois University,Computer Science,https://cs.siu.edu/faculty-staff/continuing_faculty.php +xingzhi2,Rose Hulman Institute of Technology,Computer Science & Software Engineering,https://www.rose-hulman.edu/academics/academic-departments/computer-science-software-engineering/faculty-and-staff.html +poojam3,University of Toronto,Electrical and Computer Engineering,https://www.ece.utoronto.ca/faculty/directory/ +lliu73,Syracuse University,Computer Science,http://eng-cs.syr.edu/our-departments/electrical-engineering-and-computer-science/people/?filter=* +jwu105,Stevens Institute of Technology,Computer Science,https://www.stevens.edu/schaefer-school-engineering-science/departments/computer-science/faculty-staff +boyuli3,Case Western Reserve University,Computer Science,http://engineering.case.edu/eecs/faculty-staff +kyang19,UC Berkeley,Computer Science,https://www2.eecs.berkeley.edu/Faculty/Lists/CS/faculty.html +albertl3,Indiana University,Computer Science,Indiana State University +hc10,The University of Hong Kong,Computer Science,https://www.cs.hku.hk/people/academic.jsp +lavanyap,National University of Singapore ,Computer Science ,https://www.comp.nus.edu.sg/about/depts/cs/faculty/ +ygao2,University of Oxford,Engineering,https://www.eng.ox.ac.uk/people/ +katieko2,Boston College,Computer Science ,https://www.bc.edu/content/bc-web/schools/mcas/faculty.html#computer_science +eni3,Elmhurst College,Computer Science,https://www.elmhurst.edu/academics/departments/computer-science-information-systems/faculty/ +yyang160,The Hong Kong University of Science and Technology,Computer Science and Engineering,https://www.cse.ust.hk/admin/people/faculty/ +gpakal2,"University of Minnesota, Morris",Computer Science,https://academics.morris.umn.edu/computer-science/computer-science-faculty +xiyuw2,Carnegie Mellon University,Civil and Environmental Engineering,https://www.cmu.edu/cee/people/faculty/index.html +soumyak2,Florida State University,Computer Science,https://www.cs.fsu.edu/department/faculty/ +ssonali2,Fordham University,Computer and Information Science ," +https://www.fordham.edu/info/25112/cis_faculty_and_administration" +yattoni2,University of Missouri,Electrical Engineering and Computer Science ,https://engineering.missouri.edu/academics/eecs/eecs-faculty/ +jiawenw2,University of San Francisco,Computer Science ,https://www.usfca.edu/arts-sciences/undergraduate-programs/computer-science/faculty +yujies2,Haverford College,Computer Science,https://www.haverford.edu/computer-science/faculty-staff +kehanli2,University of Pittsburgh,Computer Science,http://sci.pitt.edu/faculty-and-research/faculty/ +juefeic2,Rose Hulman Institute of Technology,Electrical & Computer Engineering,https://www.rose-hulman.edu/academics/academic-departments/electrical-computer-engineering/faculty-and-staff.html +jkim589,University of Hawaii,Civil and Environmental Engineering,http://www.cee.hawaii.edu/faculty-staff-main/ +hanyunx2,University of Utah,Compute Science,http://www.cs.utah.edu/people/faculty/ +adc2,Princeton University,Electrical Engineering,http://ee.princeton.edu/people/faculty +jl28,Harvard University,Electrical Engineering,https://www.seas.harvard.edu/electrical-engineering/people +bozheng2,Depaul University,Computer Science,https://www.cdm.depaul.edu/Faculty-and-Staff/Pages/Faculty.aspx?ftype=soc&selectedareataught=&lastnamefilter=ALL&level=-1 +juliaf2,University of Surrey,Computer Science,https://www.surrey.ac.uk/department-computer-science/people/academic-staff +dedobbe2,California State University Long Beach,Computer Engineering & Computer Science,http://web.csulb.edu/colleges/coe/cecs/faculty/index.shtml +zhilinz2,University of Washington,Electrical Engineering,https://www.ece.uw.edu/faculty/ +jbu3,University of Washington,Computer Science,https://www.cs.washington.edu/people/faculty +dcp2,Florida Atlantic University,Computer & Electrical Engineering & Computer Science,http://www.ceecs.fau.edu/directory/ +dmoon8,American University,Computer Science,https://www.american.edu/cas/cs/faculty.cfm +zhaorui2,Lehigh University,Computer Science & Engineering,https://engineering.lehigh.edu/cse/faculty +cbhuang2,Biola University,Computer Science,https://www.biola.edu/computer-science-bs/faculty +svashis2,Vassar College,Computer Science,https://computerscience.vassar.edu/bios/ +tailinz2,University of Michigan,Electrical Engineering and Computer Science,https://www.eecs.umich.edu/eecs/faculty/eecsfaculty.html +lujiak2,Duke University ,Biological Engineering,https://ece.duke.edu/faculty/computer-engineering +dbansal4,De Anza College,Computer Information Systems,https://www.deanza.edu/cis/faculty.html +sicong3,University of Evansville,Electrical Engineering and Computer Science,https://www.evansville.edu/majors/eecs/faculty.cfm +jacobrk2,Colorado School of Mines,Computer Science,https://cs.mines.edu/faculty-and-staff/ +emurray3,University of Oregon,Computer Science,https://cs.uoregon.edu/people/faculty +darciap2,University of Massachusetts Boston,Computer Science,https://www.umb.edu/academics/csm/computer_science/faculty +jiaweit2,Univeristy of Kentucky,Computer Science,http://www.engr.uky.edu/research-faculty/departments/computer-science/people/faculty +junquan2,Utah State University,Computer Science,https://cs.usu.edu/people/faculty/index +rbp3,Cal Poly,Computer Science and Software Engineering,https://csc.calpoly.edu +sagrawal,IIT Hyderabad,Computer Science and Engineering,https://cse.iith.ac.in/people/faculty.html +yiliut2,UC Berkeley,Electrical Engineering,https://www2.eecs.berkeley.edu/Faculty/Lists/EE/faculty.html +vani,Davidson College,Mathematics and Computer Science,https://www.davidson.edu/academics/mathematics-and-computer-science/faculty-and-staff +zcthomp2,University of Kansas,Electrical Engineering and Computer Science,https://eecs.ku.edu/faculty +jsanav3,Trident University,Computer Science,https://www.trident.edu/why-trident/our-people/faculty/?fc=b-s-computer-science +xiangc2,City University of Hong Kong,Computer Science,https://www.cs.cityu.edu.hk/people/academic_staff.html +ysharma5,University of Southern California,Electrical and Computer Engineering,https://minghsiehee.usc.edu/directory/faculty/ +dz3,Worcester Polytechnic Institute,Computer Science,https://www.wpi.edu/academics/departments/computer-science/faculty-staff +xcao14,Swarthmore College,Computer Science,https://www.swarthmore.edu/computer-science/faculty-staff +kuobao2,Unversity of Liverpool,Computer Science,https://www.liverpool.ac.uk/computer-science/people/ +ssridha5,Illinois State University ,InformationTechnology,https://it.illinoisstate.edu/faculty-staff/ +kasivis2,UT Dallas,Computer Science,https://cs.utdallas.edu/people/faculty/ +xiaotao2,University of Montreal,Computer Science,https://en.diro.umontreal.ca/department-directory/professeurs/ +mzhou32,SouthWest University,Computer Science,https://www.southwestern.edu/math-and-computer-science/our-faculty/ +vongole2,Massachusetts Institute of Technology,Aeronautical Engineering,https://aeroastro.mit.edu/faculty-research/faculty-list +zizhang2,Cornell University ,Computer Science,https://www.cs.cornell.edu/people/faculty +skim361,Arizona State University,"Electrical, Computer and Energy Engineering",https://ecee.engineering.asu.edu/tenured-and-tenure-track-faculty/ +vishwan3,Middlebury College,Computer Science,http://www.middlebury.edu/academics/cs/faculty +sieger2,Texas A&M,Computer Science and Engineering,https://engineering.tamu.edu/cse/profiles/index.html +ajing2,Virginia Tech,Computer Science,https://cs.vt.edu/People/Faculty.html +jingren2,Wake Forest University,Computer Science,http://college.wfu.edu/cs/people/cs-faculty +rraje2,Simon Fraser University,Computer Science,http://www.sfu.ca/computing/people/faculty.html +mcho14,Tulane University,Computer Science,https://www2.tulane.edu/sse/cs/faculty/ +mpa2,University of Tennessee,Computer Science,http://www.eecs.utk.edu/people/faculty/ +yuewan2,Wayne State University,Computer Science,http://engineering.wayne.edu/cs/faculty.php +vjaros2,University of Kansas,Bioengineering,http://bio.engr.ku.edu/people#Core_Faculty +kchung13,UC Irvine,Electrical Engineering and Computer Science,http://engineering.uci.edu/directory/dept/eecs +ajclark3,Northwestern University,Civil and Environmental Engineering,https://www.mccormick.northwestern.edu/civil-environmental/people/faculty/ +cbrom2,West Virginia University ,Computer Science,https://lcsee.statler.wvu.edu/faculty-and-staff +jw35,University of Maine,Computer Science,https://umaine.edu/cs/computer-science-faculty/ +zpahuja2,IIT Kanpur,Computer Science,https://www.cse.iitk.ac.in/pages/Faculty.html +kavjitd2,SUNY Buffalo,Computer Science,http://engineering.buffalo.edu/computer-science-engineering/people/faculty-directory.html +jdhillo2,California State University East Bay,Computer Science,https://www.csueastbay.edu/cs/faculty-office-hours/faculty-profiles.html +ds6,Carthage College,Computer Science,https://www.carthage.edu/computer-science/faculty/ +lucasi2,Regis University,Computer Science,https://www.regis.edu/CCIS/Academics/Departments-and-Faculty/Computer-Science.aspx +yrao4,Unversity of Liverpool,Electrical Enginnering and Electronics,https://www.liverpool.ac.uk/electrical-engineering-and-electronics/staff/ +jisla2,Bethel College,Math and Computer Science,https://www.bethel.edu/undergrad/academics/math-cs/faculty +azhu8,University College London,Computer Science,http://www.cs.ucl.ac.uk/people/ +xusheng2,Rutgers University,Computer Science,https://www.cs.rutgers.edu/people/faculty/professors +,Michigan Technological University,Computer Science,https://www.mtu.edu/cs/department/faculty-staff/ +wnewber2,Gonzaga University,Computer Science,https://www.gonzaga.edu/school-of-engineering-applied-science/degrees-and-programs/computer-science/faculty +yyang195,University College London,Electrical Enginnering and Electronics,https://www.ucl.ac.uk/electronic-electrical-engineering/people/academic-staff +hzong2,Stanford University,Bioengineering,https://bioengineering.stanford.edu/people/faculty +fenyiye2,Nanyang Technological University (NTU),Computer Science & Engineering, +rkarth3,Oklahoma State University,Computer Science, \ No newline at end of file diff --git a/src/data/compiled_bios/0.txt b/src/data/compiled_bios/0.txt new file mode 100644 index 0000000000..bedb5dc8e4 --- /dev/null +++ b/src/data/compiled_bios/0.txt @@ -0,0 +1 @@ + Tarek's Home Page Tarek F. Abdelzaher Professor and Willett Faculty Scholar Department of Computer Science University of Illinois at Urbana Champaign Urbana, IL 61801 Tel: (217) 265-6793 Fax: (217) 244-6500 I received my Ph.D. from the University of Michigan , Ann Arbor, in 1999, under Professor Kang Shin . I was an Asistant Professor at the University of Virginia from August 1999 to August 2005. I then joined the University of Illinois at Urbana Champaign as an Associate Professor with tenure, where I became Full Professor in 2011. My interests lie primarily in systems, including operating systems, networking, sensor networks, distributed systems, and embedded real-time systems. I am especially interested in developing theory, architectural support, and computing abstractions for predictability in software systems, motivated by the increasing software complexity and the growing sources of non-determinism. Applications range from sensor networks to large-scale server farms, and from transportation systems to medicine. New in Navigation: Green GPS . Brief Biosketch . Research: Cyber Physical Computing Group . Papers . Professional Activities . Teaching examples: Cyber-physical Systems , CS 423: Operating Systems , Web Architecture , Advanced Operating Systems , Computer Networks , Deeply Embedded Networks , E-mail: (last five letters of my last name) at cs dot uiuc dot edu. Thank you for visiting my webpage. diff --git a/src/data/compiled_bios/1.txt b/src/data/compiled_bios/1.txt new file mode 100644 index 0000000000..77dc87171d --- /dev/null +++ b/src/data/compiled_bios/1.txt @@ -0,0 +1 @@ + Sarita Adve University of Illinois at Urbana-Champaign Teaching Research Publications Students Contact Info for Students Fun Stuff Sarita V. Adve Richard T. Cheng Professor Department of Computer Science University of Illinois at Urbana-Champaign sadve@illinois.edu Sarita V. Adve is the Richard T. Cheng Professor of Computer Science at the University of Illinois at Urbana-Champaign . Her primary research interest is at the hardware-software interface with work spanning computer architecture, programming languages, operating systems, and applications. Her current research is on scalable system specialization and approximate computing. Sheco-developed the memory consistency models for the C++ and Java programming languages, which are based on her early work on data-race-free (DRF) models.More recently, her work questioned the conventional wisdom for memory models for heterogeneous systems and showed that DRF is a superior model even for such systems. She is also known for her contributions to cache coherence (she co-developed the simple and efficient DeNovo coherence protocol); hardware reliability (she co-developed software-driven approaches for hardware reliability in the SWAT project and the concept of lifetime reliability aware architectures and dynamic reliability management in the RAMP project); power management (she led the design of GRACE, one of the first systems to implement cross-layer energy management); exploiting instruction-level parallelism (ILP) for memory system performance (she co-authored some of the first papers on exploiting ILP for memory level parallelism); and evaluation techniques for shared-memory multiprocessors with ILP processors (she led the development of the RSIM architecture simulator). Professor Adve received the ACM/IEEE-CS Ken Kennedy award in 2018, was named a Woman of Vision in innovation by the Anita Borg Institute for Women in Technology in 2012, an IEEE fellow in 2012, an ACM fellow in 2010, received the ACM SIGARCH Maurice Wilkes award in 2008, an IBM faculty award in 2005, was named a UIUC University Scholar in 2004, received an Alfred P. Sloan Research Fellowship in 1998, an IBM University Partnership award in 1997 and 1998, and a National Science Foundation CAREER award in 1995. For three of the last five years (2014-18), Illinois CS has selected her students'PhD theses as one of the department's two nominations for the ACM doctoral dissertation award. She currently serves as the chair of ACM SIGARCH , on the DARPA/ISAT study group, and on ACM Council. She previously served on the board of directors of the Computing Research Association (CRA) (2009-18), on the National Science Foundation's CISE directorate's advisory committee (2003-05), on the expert group to revise the Java memory model (2001-05), and co-led the Intel/Microsoft funded Universal Parallel Computing Research Center (UPCRC) at Illinois as its director of research in its founding year (2008-09). Professor Adve was the first woman of South Asian origin to be named fellow of the ACMand, as a Maurice Wilkes awardee, the first woman to receive a young-, mid-, or life-career award in computer architecture research. She is deeply committed to increasing the number of women in computing by influencing change that can enable more women to be successful at all stages of thecareer pipeline. She received the Ph.D. and M.S. degrees in Computer Science from the University of Wisconsin - Madison in 1993 and 1989 respectively, and the B.Tech. degree in Electrical Engineering from the Indian Institute of Technology - Bombay in 1987. Before joining Illinois, she was on the faculty at Rice University from 1993 to 1999. diff --git a/src/data/compiled_bios/10.txt b/src/data/compiled_bios/10.txt new file mode 100644 index 0000000000..5147553bdd --- /dev/null +++ b/src/data/compiled_bios/10.txt @@ -0,0 +1 @@ + Marco Caccamo's Home Page Marco Caccamo Professor Department of Computer Science University of Illinois Office: 4118 SC Siebel Center for Computer Science 201 N. Goodwin Avenue Urbana, IL 61801 Phone: 217-244-0528 Fax: 217-244-6500 mcaccamo "at" illinois.edu Marco Caccamo graduated (summa cum laude) in Computer Engineering at University of Pisa on July 1997. He received a Ph.D. in Computer Engineering from Scuola Superiore Sant'Anna ( SSSUP ) in January 2002. He is a professor in the Department of Computer Science, with courtesy appointments in the Department of Electrical and Computer Engineering and Department of Aerospace Engineering at the University of Illinois at Urbana-Champaign (UIUC). He is the Principal Investigator at the "Real Time and Embedded System Laboratory" at UIUC. In broad terms, his research interests are centered on the area of embedded systems. He has worked in close collaboration with avionics, farming, and automotive industries developing innovative software architectures and toolkits for the design automation of embedded digital controllers, and low-level resource management solutions for real-time operating systems running on multicore architectures. More recently, he has begun to investigate real-time, security, and robustness problems in the software architecture of unmanned aerial vehicles (UAVs). See recent article about this work and take a look at one of our UAV testbed ). Current Students: Fardin Abdi (Ph.D) Ayoosh Bansal (Ph.D) Or Dantsker (Ph.D) Mirco Theile (Ph.D) Rohan Tabish (Ph.D) Jayati Singh (visiting student) Honors & Awards: IEEE Fellow, "For contributions to the theory and applications of hard real-time multicore computing", 2018 Alexander von Humboldt Professorship , 2018 ( TUM ) Paper of the month and Editor's pick of the year 2016, IEEE Transactions on Computers Engineering Council Outstanding Advising Award (Spring 2015) Best Student Paper Award (RTAS 2013) Ranked as excellent teacher by students of CS598MC (Fall 2007, Spring 2012, Fall 2014) IEEE Tech. Committee on RT Systems Service Award (for serving as General Chair of CPSWeek 2011) Best Paper Award (RTCSA 2008) Best Student Paper Award (RTSS 2004) NSF CAREER Award (2003) Professional Activities: Member of 2018 IEEE Computer Society Fellows Committee, Chair of WiP session at RTEST'18 conference, Associate Editor of IEEE Transactions on Computers (TC), 2017-18, Co-chair of Second TCRTS Workshop on Certifiable Multicore Avionics and Automotive Systems (CMAAS'17) General Chair of IEEE Real-Time Systems Symposium (RTSS'16), Program Chair of IEEE Real-Time Systems Symposium (RTSS'15), General Chair of Cyber Physical Systems Week (CPSWeek) 2011, General Chair of IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS'11), Program Chair of IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS'10), Chair of WiP session at ECRTS'08 conference. Publications Teaching: CS424 (Real-Time Systems) CS598mc (Special topics: Cyber-Physical Systems) CS431 (Embedded Systems Architecture and Software) CS241 (Systems Programming) Research Projects sponsored by NSF: Hybrid hardware-software architecture for reconfigurable real-time systems : m odern SoC devices enable the development of hybrid embedded systems where sofware tasks, running on a traditional CPU, can coexist with hardware tasks running on reconfigurable hardware (FPGA). The main goal of this research is to develop a SoC real-time computing architecture that integrates hardware and software execution in a transparent manner, and can support QoS adaptation by means of partial reconfiguration of modern FPGA devices. CSR: Memory-Centric Real-Time Scheduling for Multicore Embedded Systems . M. Caccamo (PI), Co-PI: L. Sha , National Science Foundation, CNS-1219064 In modern automotive and avionics applications, the use of multiple sensors and especially real-time imaging sensors creates unprecedented workloads. From a computational perspective, multicore architectures have become mainstream; however, as a multicore chip is expected to process increasing volumes of data in real-time, the memory hierarchy becomes the bottleneck resource. In the worst case, task execution times can grow linearly with the number of cores in the system. This research aims at laying foundations for a modern memory-centric real-time scheduling theory that can effectively co-schedule the use of the memory hierarchy, the cores, and the on-chip network, including the I/O channels. According to the vision of Memory-Centric Scheduling, when the memory hierarchy is the system bottleneck, memory accesses should be scheduled to achieve high memory utilization. Performance of a real-time multicore system should be measured in terms of schedulable memory utilization rather than just core utilization. Ideally, the real-time constraints should be met as long as total memory utilization of all real-time applications (across all the cores contending for shared memory) is below 100%. See the presentation titled " The Migration of Safety-Critical RT Software to Multicore " ( pptx ) for learning about major findings of this research. CSR: Multicore Real Time Virtual Partitions . L. Sha (PI), Co-PIs: M. Caccamo, T. Abdelzaher, National Science Foundation, CNS-1302563 Embedded industry has a large body of certified real time safety and mission critical software developed for single core chips, using certification procedures developed for single core systems. Now, those chips are becoming obsolete, and newer chips are being designed with slower clock rates but multiple cores. Multicore computer platforms pose new challenges for hard real-time systems, because of the complex temporal coupling between processing cores' shared last level cache, shared memory and I/O bandwidth. This research aims at tackling this industry-wide challenge by introducing the notion of real time virtual partitions (RTVPs), each of which can be treated as a stand-alone single-core chip from the point of view of real-time schedulability analysis and certification process. Without a technology like RTVP, the change of workload in one core could adversely impact the schedulability of tasks in other cores, triggering the recertification of applications running on other cores. The time and costs of such recertification is economically unsustainable. This problem is especially critical for the avionic industry. Single Core Equivalence (SCE): a cost-effective solution for the transition of safety-critical RT software from single-core to multi-core commodity platforms. CPS: Breakthrough: Solar-powered, Long-endurance UAV for Real-time Onboard Data Processing . M. Caccamo (PI), National Science Foundation, CNS-1646383 Given the wide range of possibilities, unmanned aerial vehicles (UAVs) represent a growing market in CPS and they are perceived as an "enabling technology" to re-consider the human involvement in many military and civil applications on a global scale. One of the major challenges in enabling this growth is UAV endurance. This is directly related to the amount of energy available to the UAV to perform its mission. This proposal looks to increase UAV endurance by trading off UAV performance with energy efficient computing. This requires mapping of mission and goals into energy needs and computational requirements. The goal of the project is to show that this trade can enable long-duration flight especially when solar energy is utilized as a primary energy source. The ambitious plan is to develop a light weight and efficient aircraft capable of maneuver-aware power adaptation and real-time video/sensor acquisition and processing for up to 12 hours of continuous flight (this limit being set by daylight hours). This project aims to expanding the theoretical and practical foundations for the design and integration of UAVs capable of real-time sensing and processing from an array of visual, acoustic and other sensors. For more details, please check the project web-site . Former Research Projects sponsored by NSF Former Students: Renato Mancuso (Ph.D'17, Assistant Professor at Boston Univ.) Suraj Venkat (MS'17) Andrew Louis (MS'17, Embedded Software Engineer at Bell) Stanley Bak (Ph.D'13, Research Scientist, Air Force Research Lab (AFRL), Rome, NY) Roman Dudko (MS'12, Google) Bach Duy Bui (Ph.D'11, SW Engineer at Yahoo!, UIUC Research Center) Rodolfo Pellizzoni (Ph.D'10, Associate Professor Univ. of Waterloo) Olugbemiga Adekunle (MS'10, Instructor at Blue Ridge Community College, VA) Deepti K. Chivukula (MS'10, Associate, Firm Risk Management @ Morgan Stanley) Chin F. Cheah (MS'07, Citadel Investment Group) Sathish Gopalakrishnan ( Ph.D'05, Associate Professor UBC) Spencer Hoke (MS'05, Garmin) Deepu C. Thomas (MS'04, Microsoft) Simone Giannecchini (MS'03, Geosolutions, Italy) accesses since June 2005 diff --git a/src/data/compiled_bios/100.txt b/src/data/compiled_bios/100.txt new file mode 100644 index 0000000000..a0b94484ab --- /dev/null +++ b/src/data/compiled_bios/100.txt @@ -0,0 +1 @@ +Boris Kozinsky works at the intersection of fundamental physics of materials properties, efficient computational algorithms, and data-intensive informatics approaches. The overall vision is to leverage the rapidly expanding power of computation and data science to accelerate discovery and design of new practical materials needed for breakthroughs in energy storage and conversion systems. Performance of these systems is controlled by atomic-scale transport and reaction mechanisms and their coupling at different length and time scales that are difficult to probe by experiment alone. Atomistic and electronic structure computations are emerging as a powerful tool for understanding and distilling the design rules governing quantum-level microscopic effects.Boris Kozinsky studied at MIT for his B.S. degrees in Physics, Mathematics, and Electrical Engineering and Computer Science, and received his PhD degree in Physics also from MIT in 2007. He then established and led the atomistic computational materials science team at Bosch Research in Cambridge MA, working closely together with leading academic and industrial groups. Leveraging over a decade of experience in industrial application-driven research, Boris Kozinsky emphasizes technological relevance and rapid screening methods for high performance materials and devices, in close collaboration with experiments. His work on development and application of computational methods led to advances and inventions in a wide range of materials systems, including 1D and 2D materials, piezoelectrics, thermoelectrics, batteries, super-ionic conductors, catalysts, and functional polymers.Current work is focused on:Design and discovery of materials for next-generation batteries, fuel cells and sensors using computations of electronic structure of correlated oxides, electrochemical activity and stability, and ionic conductivity of cathodes and solid electrolytes.Development of accurate and efficient computational methods by combining first-principles quantum calculations with multiscale analytical models of transport, lifetimes and coupling of electronic, thermal and ionic carriers.Machine learning approaches for accelerated materials discovery by identifying structure-property relationships and computable descriptors of complex materials properties, and by enhancing accuracy and efficiency of computational methods.Database-driven cloud infrastructure for intelligent automation of computational workflows, enabling exascale data generation, reusability and analytics.http://bkoz.seas.harvard.edu diff --git a/src/data/compiled_bios/1000.txt b/src/data/compiled_bios/1000.txt new file mode 100644 index 0000000000..652cc34656 --- /dev/null +++ b/src/data/compiled_bios/1000.txt @@ -0,0 +1 @@ + Dr. Dean Barratt, PhD UCL Senior Research Fellow; Royal Academy of Engineering/EPSRC Research Fellow; Honorary Research Fellow, UCL Hospitals NHS Trust Centre for Medical Image Computing (CMIC), Room 2.20, Malet Place Engineering Building. Email: d.barratt@ucl.ac.uk ; Tel: 020 7679 0205 (#30205 internally) My research interests are in the use of 3D ultrasound (US) imaging for guiding medical interventions, such as biopsy, minimally invasive surgery, and other minimally invasive therapies. US is already used for realtime guidance of a number of established clinical interventions, for example, amniocentesis. However, there are many interventions where conventional realtime US is difficult or impossible to apply, either because 2D US imaging is inadequate, or because the US images themselves provide insufficient anatomical information to accurately guide the intervention. An alternative solution to the guidance problem is to use one or more high-quality, pre-interventional 3D images to guide the intervention after registering these to the patient. Such images, obtained using magnetic resonance (MR) or x-ray computer tomography (CT) techniques, are now routinely acquired as part of the diagnostic process for many diseases. They are also obtained specifically for guiding some interventions, such as neurosurgery. I am primarily interested in developing novel image registration techniques that enable 3D US images, acquired during an intervention, to be used to register pre-treatment MR/CT images to the patient during an intervention. US imaging is well suited to this purpose, as it is safe, non-invasive, inexpensive, portable, widely available, and extremely versatile. Importantly, it also allows dense information on organ deformation to be obtained, compensation of which is essential for accurate guidance during some interventions. Essentially, this problem is a multimodal image registration task, where the aim is to align the US images with the MR/CT images. However, because the characteristics of US images are so different to MR or CT images (in terms of grey-level intensity characteristics and artefacts), in general, this is a challenging problem for which general-purpose, automatic solutions do not currently exist. Currently, I am working on the following clinical applications: minimally invasive interventions for prostate cancer (e.g. high intensity focussed ultrasound (HIFU) and interstitial photodynamic therapy (PDT)), neurosurgery (brain tumour excision), and orthopaedic surgery (hip replacement). I am also very interested in minimally invasive therapies for treating liver tumours. Undergraduate Projects 2006-7 (No longer available) diff --git a/src/data/compiled_bios/1001.txt b/src/data/compiled_bios/1001.txt new file mode 100644 index 0000000000..631b15ebe3 --- /dev/null +++ b/src/data/compiled_bios/1001.txt @@ -0,0 +1 @@ + Paolo Barucca Role Lecturer Office GS4.12 Office Location University College London Dept. of Computer Science 66-72 Gower Street London WC1E 6EA United Kingdom Tel +44 (0)20 7679 TBA (Direct Dial) Internal TBA Fax +44 (0)20 7387 1397 Email P.Barucca (at) cs.ucl.ac.uk Postal Address University College London Dept. of Computer Science Gower Street London WC1E 6BT United Kingdom Group Advanced Teaching Group Personal Pages (None) diff --git a/src/data/compiled_bios/1002.txt b/src/data/compiled_bios/1002.txt new file mode 100644 index 0000000000..df4ac84e6a --- /dev/null +++ b/src/data/compiled_bios/1002.txt @@ -0,0 +1 @@ + Close UCLIC - UCL Interaction Centre Home Home People Academics Administration Researchers PhD students Visitors Former UCLICers Study Prospective Research Students Induction Week Prospective Taught Students Studying HCI Part-Time Study Apply Now Graduate Destinations Student views FAQ New Students Current Research Students Current Taught Students Distinction Projects UCLIC Alumni Research Affective Computing Health and Wellbeing Collaboration & Communication Interactions in the Wild Designing Future Interfaces Physical Computing Educational Technologies Persuasive Technologies AI and HCI Assistive and Enabling Technology Publications Books About us Collaborate with us Research Collaborations Teaching Collaborations UCLIC's History News, Events, Seminars News Events Seminars Jobs Home People Academics Administration Researchers PhD students Visitors Former UCLICers Study Research Publications About us News, Events, Seminars Home People Nadia Berthouze Nadia Berthouze Professor & Deputy Director of UCLIC n.berthouze@ucl.ac.uk +44 (0)20 3108 7067 (x57067) Room: 2.10 UCLIC, University College London 66 - 72 Gower Street London, WC1E 6EA United Kingdom Office Hour: Wednesday 17:30-18:30 (Please check for update as I may be traveling - or send me an email with "Office Hour" as subject). Looking forward to meeting you . Nadia Berthouze is Professor in Affective Computing and Interaction. Her main area of expertise is the study of body posture/movement as a modality for recognising, modulating and measuring human affective states in HCI. She has published more than 170 papers in affective computing, HCI, and pattern recognition. She was awarded the 2003 Technical Prize from the Japanese Society of Kansei Engineering and she has been invited to give a TEDxStMartin talk (2012). She is/was: PI on the EPSRC-funded Emo&Pain project to design affective technology to support rehabilitation in chronic pain; co-I on the EPSRC-funded Digital Sensoria project investigating the use of biosensors to measure subjective responses to tactile experiences; co-I on the ILHAIRE project investigating laughter in human-avatar interaction; EU-FP7 Marie Curie IRSES UBI-HEALTH: Exchange of Excellence in Ubiquitous Computing Technologies to Address Healthcare Challenges, H2020 HUMAN Manufacturing, and HOLD funded by the Wellcome Trust. The premise of her research is that affect, emotion, and subjective experience should be factored into the design of interactive technology. Indeed, for technology to be truly effective in our social network, it should be able to adapt to the affective needs of each user group or even each individual. The aim of her research is to create systems/software that can sense the affective state of their users and use that information to tailor the interaction process. Body movement and touch behaviour are major medium for this goal: they support cognitive processes, regulates emotions, and mediates affective and social communication. She is currently pursuing three lines of research looking at these modalities as channels to induce, recognize and measure the quality of experience of humans and in particularly of humans interacting and engaging through/with technology in various domains including physical rehabilitation. In the context of physical rehabilitation, she is investigates how multisensing and multimodal technology can help overcome the psychological barriers to remain physically active and re-engage with one's own body. FUNDED PROJECTS WeDRAW (EU H2020 - starting 2017) HUMAN MANUFACTURING (EU H2020 -- starting October 2016) HOLD (Welcome Trust - with InvisibleFlock) UBIHEALTH Exchange of Excellence in Ubiquitous Computing Technologies to Address Healthcare Challenges (EU-FP7 Marie Curie IRSES 814,800) Prototyping an interactive physiotherapy rehabilitation program using smart pervasive technology grant (UCL PI, RosetreesTrust - PI Royal Holloway) EMO & PAIN - Pain rehabilitation: E/Motion-based automated coaching (EPSRC - 1,504,100) ILHAIRE Incorporating Laughter into Human-Avatar Interactions (FET FP7 - 2,797,556) SENSORIA: Digital Perceptual Experience, interdisciplinary (EPSRC - EP/H007083/1 - 648,332). UCLIC / FIT Lab PLATFORM: Resilient, Usable and Appropriate Systems in Healthcare (EPSRC platform grant EP/G004560/1 - 422,828) AffectME: Affective Multimodal Engagement (FP6 EU Marie Curie International Reintegration Grant (MIRG-CT-2006-046434 - 80,000). Affective communication and interactive technology (MEXT Grant-in-aid fJSPS Japan 2,500,000) Affective posture recognition (MEXT Grant-in-aid, 3,900,000) supported by internal grants ( 9,950,000) RECENT BOOK AND BOOK CHAPTERS O'Hara, K., Morrison, C., Sellen, A., Bianchi-Berthouze, N., & Craig, C. (2016). Body Tracking in Healthcare. Morgan & Claypool Publishers. Dael, N., Bianchi-Berthouze, N., Kleinsmith, N., & Mohr, C. (2015). Measuring Body Movement: Current and Future Directions in Proxemics and Kinesics. The APA Handbook of Nonverbal Communication. APA. Bianchi-Berthouze, N., & Kleinsmith, A. (2014). Automatic recognition of affective body expressions. In R. A. Calvo, S. K. D'Mello, J. Gratch, A. Kappas (Eds.), The Oxford Handbook of Affective Computing. doi:10.1093/oxfordhb/9780199942237.013.025 Research Publications Authors Title Year Publication Temitayo Olugbade , Aneesha Singh , Nadia Berthouze , Nicolai Marquardt , MSH Aung, A Williams How can affect be detected and represented in technological support for physical rehabilitation? 2019 ACM Transactions on Computer-Human Interaction (TOCHI), Journal article Jimenez N Tajadura, P Rick, F Cuadrado, NL Bianchi-Berthouze, Aneesha Singh , A Vljame, F Bevilacqua Designing a gesture-sound wearable system to motivate physical activity by altering body perception 2018 MOCO, Conference paper (text), Genoa, Italy A Tajadura-Jimnez, O Deroy, N Bianchi-Berthouze, T Marquardt, T Asai, T Kimura, N Kitagawa Audio-tactile cues from an objects fall change estimates of ones body height 2018 PLoS ONE, Journal article SJ Price, C Jewitt, Mackley K Leder, Nadia Berthouze , G Huisman, B Petreca, D Prattichizzo, V Hayward Reshaping Touch Communication: An Interdisciplinary Research Agenda 2018 Computer Human Interaction, Conference paper (text), Montreal, Canada Youngjun Cho , Nadia Berthouze , S Julier Automated Inference of Cognitive Stress in-the-Wild 2018 3rd Symposium on Computing and Mental Health, Conference abstract/presentation slides, Montreal, QC, Canada Youngjun Cho , Nadia Berthouze , Nicolai Marquardt , S Julier Deep Thermal Imaging: Proximate Material Type Recognition in the Wild through Deep Learning of Spatial Surface Temperature Patterns 2018 2018 CHI Conference on Human Factors in Computing Systems (CHI 2018), Conference paper (text), Montreal, QC, Canada Nora Ptakauskaite , Anna Cox , Nadia Berthouze Knowing What Youre Doing or Knowing What to Do: How Stress Management Apps Support Reflection and Behaviour Change 2018 Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, Conference paper (text), Montreal, Canada Ana Tajadura-Jimenez , M Vakali, MT Fairhurst, A Mandrigin, N Bianchi-Berthouze, O Deroy Contingent sounds change the mental representation of one's finger length (vol 7, 2017) 2018 SCIENTIFIC REPORTS, Journal article A Tajadura-Jimnez, D Banakou, N Bianchi-Berthouze, M Slater Author Correction: Embodiment in a Child-Like Talking Virtual Body Influences Object Size Perception, Self-Identification, and Subsequent Real Speaking. 2018 Scientific Reports, Journal article JJ Rivas, F Orihuela-Espina, L Palafox, Nadia Berthouze , Carmen Lara M del, J Herdandez-Franco, E Sucar Unobtrusive Inference of Affective States in Virtual Rehabilitation from Upper Limb Motions: A Feasibility Study 2018 IEEE Transactions on Affective Computing, Journal article Temitayo Olugbade , Nadia Berthouze , Nicolai Marquardt , A Williams Human Observer and Automatic Assessment of Movement Related Self-Efficacy in Chronic Pain: from Exercise to Functional Activity 2018 IEEE Transactions on Affective Computing, Journal article G Volpe, M Gori, NL Bianchi-Berthouze, G Baud-Bovy, P Alborno, E Volta MIE 2017: 1st InternationalWorkshop on Multimodal Interaction for Education 2017 ICMI'17, Conference abstract/presentation slides, Glasgow, UK G Volpe, M Gori, N Bianchi-Berthouze, G Baud-Bovy, P Alborno, E Volta Welcome from the chairs 2017 ICMI '17 INTERNATIONAL CONFERENCE ON MULTIMODAL INTERACTION, Conference paper (text), Glasgow, United Kingdom Temitayo Olugbade , L Cuturi, G Cappagli, E Volta, P Alborno, Joseph Newbold , N Bianchi-Berthouze, G Baud-Bovy, G Volpe, M Gori What Cognitive and Affective States Should Technology Monitor to Support Learning? 2017 1st ACM SIGCHI International Workshop on Multimodal Interaction for Education (MIE 2017), Conference paper (text), Glasgow, UK JJ Rivas, L Palafox, J Hernadex-Franco, Carmen Lara M del, Nadia Berthouze , F Orihela-Espina, LE Sucar Automatic Recognition of Pain, Anxiety, Engagement and Tiredness for Virtual Rehabilitation from Stroke: A Marginalization Approach 2017 Affective Computing and Intelligent Interaction, Adjunct workshop, Conference paper (text), San Antonio, Texas Youngjun Cho , N Bianchi-Berthouze, S Julier DeepBreath: Deep Learning of Breathing Patterns for Automatic Stress Recognition using Low-Cost Thermal Imaging in Unconstrained Settings 2017 International Conference on Affective Computing and Intelligent Interaction (ACII), Conference paper (text), San Antonio, the US Youngjun Cho , N Bianchi-Berthouze, S Julier, Nicolai Marquardt ThermSense: Smartphone-based Breathing Sensing Platform using Noncontact Low-Cost Thermal Camera 2017 International Conference on Affective Computing and Intelligent Interaction (ACII), Conference paper (text), San Antonio, US Youngjun Cho , SJ Julier, Nicolai Marquardt , N Bianchi-Berthouze Robust tracking of respiratory rate in high-dynamic range scenes using mobile thermal imaging 2017 Biomedical Optics Express, 2017, Journal article Ana Tajadura-Jimenez , D Banakou, M Slater, Nadia Berthouze Embodiment in a Child-Like Talking Virtual Body Influences Object Size Perception, Self-Identification, and Subsequent Real Speaking 2017 Scientific Reports, Journal article Ana Tajadura-Jimenez , H Cohen, NL Bianchi-Berthouze Bodily Sensory Inputs and Anomalous Bodily Experiences in Complex Regional Pain Syndrome: Evaluation of the Potential Effects of Sound Feedback 2017 Frontiers in Human Neuroscience, Journal article A Tajadura-Jimnez, M Vakali, MT Fairhurst, A Mandrigin, N Bianchi-Berthouze, O Deroy Contingent sounds change the mental representation of one's finger length. 2017 Scientific reports, Journal article S Duffy, S Price, G Volpe, Paul Marshall , N Bianchi-Berthouze, G Cappagli, L Cuturi, N Balzarotti, D Trainor, M Gori1 WeDRAW: using multisensory serious games to explore concepts in primary mathematics 2017 ICTMT 13, Conference paper (text), Lyon, France Joseph Newbold , N Gold, NL Bianchi-Berthouze Musical expectancy in squat sonification for people who struggle with physical activity 2017 ICAD'17, Conference paper (text), Pensylvania B Petreca, C Saito, Y Xuemei, NL Bianchi-Berthouze, A Brown, M Glancy, S Baurley Radically Relational: Using Textiles As A Platform To Develop Methods For Embodied Design Processes 2017 Eksig 2017 - Alive. Active. Adaptive, Conference paper (text), Rotterdam, Netherlands Aneesha Singh , NL Berthouze-Bianchi, A Williams Supporting Everyday Function in Chronic Pain Using Wearable Technology 2017 ACM CHI Conference on Human Factors in Computing Systems, Conference paper (text), Denver G Trovato, M Do, Terlemez, C Mandery, H Ishii, N Bianchi-Berthouze, T Asfour, A Takanishi Is hugging a robot weird? Investigating the influence of robot appearance on users' perception of hugging 2017 IEEE-RAS International Conference on Humanoid Robots, Conference paper (text) B Arnrich, C Ersoy, O Mayora, A Dey, Nadia Berthouze , K Kunze Wearable Therapy - Detecting Information from Wearables and Mobiles that are Relevant to Clinical and Self-directed Therapy 2017 METHODS OF INFORMATION IN MEDICINE, Journal article A Tajadura-Jimnez, T Marquardt, D Swapp, N Kitagawa, N Bianchi-Berthouze Corrigendum: Action Sounds Modulate Arm Reaching Movements. 2016 Front Psychol, Journal article Youngjun Cho , A Bianchi, Nicolai Marquardt , NL Bianchi-Berthouze RealPen: Providing Realism in Handwriting Tasks on Touch Surface using Auditory-Tactile Feedback 2016 User Interface Software and Technology Symposium (UIST'16), Conference paper (text), Tokyo, Japan NL Bianchi-Berthouze, K Isbister Emotion and Body-Based Games: Overview and Opportunities 2016 Chapter, Switzerland A Tajadura-Jimnez, T Marquardt, D Swapp, N Kitagawa, N Bianchi-Berthouze Action sounds modulate arm reaching movements 2016 Frontiers in Psychology, Journal article B Petreca, S Baurley, N Bianchi-Berthouze, A Tajadura-Jimnez Investigating nuanced sensory experiences in textiles selection 2016 UbiComp 2016 Adjunct - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, Conference paper (text) M Caon, L Angelini, E Mugellini, A Matassa, N Bianchi-Berthouze, Aneesha Singh , A Tajadura-Jimnez Third workshop on full-body and multisensory experience 2016 UbiComp 2016 Adjunct - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, Conference paper (text) A Hamacher, NL Bianchi-Berthouze, AG Pipe, K Eder Believing in BERT: Using expressive communication to enhance trust and counteract operational error in physical Human-Robot Interaction 2016 ROMAN'16, Conference paper (text) Joseph Newbold , Aneesha Singh , N Bianchi-Berthouze Go-with-the-flow: A smartphone app for realtime tracking and sonification of physical activity in CP 2016 PervasiveHealth: Pervasive Computing Technologies for Healthcare, Conference paper (text) NL Bianchi-Berthouze The affective body argument in technology design 2016 Advanced Visual Interfaces (AVI'16), Conference paper (text), BAri, Italy D Atkinson, B Petreca, NL Bianchi-Berthouze, S Baurley, P Watkins The Tactile Triangle: a design research framework demonstrated through tactile comparisons of textile materials 2016 The Journal of Design Research., Journal article Catherine Holloway , I McCarthy, T Suzuki, K Yong, A Carton, NL Bianchi-Berthouze, N Tyler, S Crutch Classifying persons with dementia from control subjects when ascending and descending stairs based on a single pelvis-mounted sensor 2016 Pervasive Health, Conference paper (text), Cancun Joseph Newbold , N Bianchi-Berthouze, NE Gold, Ana Tajadura-Jimenez , A Williams Musically Informed Sonification for Chronic Pain Rehabilitation: Facilitating Progress & Avoiding Over-doing 2016 CHI 2016, Conference paper (text), San Jose, CA Hongying Meng , N Bianchi-Berthouze, Y Deng, J Cheng, JP Cosmas Time-Delay Neural Network for Continuous Emotional Dimension Prediction From Facial Expression Sequences 2016 IEEE Transactions on Cybernetics, Journal article K O'Hara, C Morrison, Abigail Sellen , N Bianchi-Berthouze, C Craig Body Tracking in Healthcare 2016 Book Aneesha Singh , Ana Tajadura-Jimenez , Nadia Berthouze , Nicolai Marquardt , M Tentori, R Bresin, D Kulic Mind the Gap: A SIG on Bridging the Gap in Research on Body Sensing, Body Perception and Multisensory Feedback 2016 CHI 2016, Conference paper (text), San Jose, USA Aneesha Singh , S Piana, D Pollarolo, G Volpe, G Varni, Ana Tajadura-Jimenez , Williams A CdeC, A Camurri, N Bianchi-Berthouze Go-with-the-flow: Tracking, Analysis and Sonification of Movement and Breathing to Build Confidence in Activity Despite Chronic Pain 2016 Human-Computer Interaction, Journal article B Arnrich, C Ersoy, A Dey, K Kunze, Nadia Berthouze Welcome message from the chairs 2015 Proceedings of the 2015 9th International Conference on Pervasive Computing Technologies for Healthcare, PervasiveHealth 2015, Conference paper (text) B Petreca, NL Bianchi-Berthouze, S Baurley How Do Designers Feel Textiles? 2015 Affective Computing and Intelligent Interaction, Workshop on Affective Touch, Conference paper (text) S Cosentino, S Sessa, W Kong, D Zhang, A Takanishi, N Bianchi-Berthouze Automatic discrimination of laughter using distributed sEMG 2015 2015 International Conference on Affective Computing and Intelligent Interaction, ACII 2015, Conference paper (text) B Petreca, S Baurley, N Bianchi-Berthouze How do designers feel textiles? 2015 2015 International Conference on Affective Computing and Intelligent Interaction, ACII 2015, Conference paper (text) Temitayo Olugbade , N Bianchi-Berthouze, Nicolai Marquardt , ACDEC Williams Pain level recognition using kinematics and muscle activity for physical rehabilitation in chronic pain 2015 IEEE International Conference on Affective Computing & Intelligent Interaction,, Conference paper (text) Harry Griffin , G Varni, G Volpe, GT Lourido, M Mancini, N Bianchi-Berthouze Gesture mimicry in expression of laughter 2015 International Conference on Affective Computing and Intelligent Interaction (ACII), Conference paper (text), Xian, PEOPLES R CHINA Danny Harrison , Paul Marshall , N Bianchi-Berthouze, Jon Bird Activity Tracking: Barriers, Workarounds and Customisation 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp), Conference paper (text), Osaka, JAPAN S Cosentino, S Sessa, W Kong, D Zhang, M Zecca, NL Bianchi-Berthouze Automatic Discrimination of Laughter Using Distributed sEMG 2015 Affective Computing and Intelligent Interaction, Conference paper (text) Harry Griffin , G Varni, Lourido G Tom, M Mancini, G Volpe, NL Bianchi-Berthouze Gesture Mimicry in Expression of Laughter 2015 Affective Computing and Intelligent Interaction, Conference paper (text) Joseph Newbold , N Bianchi-Berthouze, NE Gold, A Williams Musically Informed Sonification for Self-Directed Chronic Pain Physical Rehabilitation 2015 Sound and Music Computing 2015, Conference paper (text), Maynooth, Ireland Jimenez A Tajadura, M Basia, O Deroy, M Fairhurst, Nicolai Marquardt , N Bianchi-Berthouze As light as your footsteps: altering walking sounds to change perceived body weight, emotional state and gait 2015 ACM CHI 2015, Conference paper (text) Harry Griffin , M Aung, B Romera-Paredes, C McLoughlin, G McKeown, W Curran, N Bianchi-Berthouze Perception and automatic recognition of laughter from whole-body motion: continuous and categorical perspectives 2015 IEEE Transactions on Affective Computing, Journal article C Mendoza, P Romero, N Bianchi-Berthouze, C Lavin A classification of user experience frameworks for movement-based interaction design 2015 The Design Journal, Journal article RC Mendoza, N Bianchi-Berthouze, P Romero, GC Lavn A classification of user experience frameworks for movement-based interaction design 2015 Design Journal, Journal article JJ Rivas, F Orihuela-Espina, L Palafox, J Hernndez-Franco, NL Bianchi-Berthouze Detecting affective states in virtual rehabilitation 2015 Workshop at PervasiveHealth '15: Proceedings of the 9th International Conference on Pervasive Computing Technologies for Healthcare, Conference paper (text) N Dael, N Bianchi-Berthouze, N Kleinsmith, C Mohr Measuring Body Movement: Current and Future Directions in Proxemics and Kinesics. 2015 Chapter Temitayo Olugbade , NL Bianchi-Berthouze, Nicolai Marquardt , Williams A CdeC Pain Level Recognition using Kinematics and Muscle Activity for Physical Rehabilitation in Chronic Pain 2015 Affective Computing and Intelligent Interaction, Conference proceeding S Felipe, Aneesha Singh , C Bradley, A Williams, NL Bianchi-Berthouze Roles for Personal Informatics in Chronic Pain 2015 Persuasive Computing TEchnologies for Healthcare (Persuasive Health 2015), Conference paper (text) S Felipe, Aneesha Singh , C Bradley, A Williams, NL Bianchi-Berthouze Roles for Personal Informatics in Chronic Pain 2015 Persuasive Computing TEchnologies for Healthcare (Persuasive Health 2015), Conference proceeding YFA Gaus, Temitayo Olugbade , A Jan, R Qin, J Liu, F Zhang, Hongying Meng , NL Bianchi-Berthouze Social Touch Gesture Recognition using Random Forest and Boosting on Distinct Feature Sets 2015 ICMI '15: 2015 International Conference on Multimodal Interaction, Social Touch Gesture Challenge, Conference paper (text) A Tajadura-Jimnez, N Bianchi-Berthouze, E Funfaro, F Bevilacqua Sonification of surface tapping: Influences on behaviour, emotion and surface perception 2015 IEEE Multimedia, Journal article Ana Tajadura-Jimenez , N Bianchi-Berthouze, E Furfaro, F Bevilacqua Sonification of Surface Tapping Changes Behavior, Surface Perception, and Emotion 2015 IEEE MULTIMEDIA, Journal article A Tajadura-Jimnez, E Furfaro, N Bianchi-Berthouze, F Bevilacqua Sonification of virtual and real surface tapping: Evaluation of behavior changes, surface perception and emotional indices 2015 IEEE Multimedia, Journal article CE Ashton-James, DC Richardson, ACDEC Williams, N Bianchi-Berthouze, PH Dekker The impact of pain behaviors on evaluations of warmth and competence. 2015 Pain, Journal article Temitayo Olugbade , MSH Aung, Nicolai Marquardt , N Bianchi-Berthouze, ACDEC Williams Bi-Modal Detection of Painful Reaching for Chronic Pain Rehabilitation Systems 2014 ICMI '14: 2014 International Conference on Multimodal Interaction, Conference paper (text), Istanbul, Turkey MSH Aung, N Bianchi-Berthouze, P Watson, De C Williams A C Automatic Recognition of Fear-Avoidance Behaviour in Chronic Pain Physical Rehabilitation 2014 Pervasive Computing Technologies for Healthcare, Conference paper (text) Y Qin, Chris Vincent , N Bianchi-Berthouze, Y Shi AirFlow: Designing Immersive Breathing Training Games for COPD 2014 ACM Intl. Conf. Human Factors in Computing (CHI 2014), Work in progress, Conference paper (text), Toronto J Cook, D Swapp, X Pan, N Bianchi-Berthouze, S-J Blakemore Atypical interference effect of action observation in autism spectrum conditions 2014 PSYCHOLOGICAL MEDICINE, Journal article H. Meng,, N. Bianchi-Berthouze, Affective state level recognition in naturalistic facial and vocal expressions 2014 IEEE Transactions on Systems, Man and Cybernetics Part B: Cybernetics, Journal article A Tajadura-Jimnez, NL Bianchi-Berthouze Altering Touch Behavior and Perception with Sonification 2014 8th Nordic Conference on Human-Computer Interaction, Conference paper (text), Helsinki, Finland N Bianchi-Berthouze, A Kleinsmith Automatic recognition of affective body expressions 2014 Chapter Temitayo Olugbade , MS Aung, Nicolai Marquardt , Williams A CdeC, N Bianchi-Berthouze Bi-Modal Detection of Painful Reaching for Chronic Pain Rehabilitation Systems 2014 International Conference on Multimodal Interaction (ICMI'14), Conference paper (text), Turkey N Bianchi-Berthouze, Jimenez A Tajadura Its not just what we touch but also how we touch it 2014 Working/Discussion Paper Aneesha Singh , A Klapper, J Jia, A Fidalgo, A Tajadura-Jimnez, N Kanakam, N Bianchi-Berthouze, A Williams Motivating People with Chronic Pain to Do Physical Activity: Opportunities for Technology Design 2014 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Conference paper (text) Aneesha Singh , N Bianchi-Berthouze, Williams A CdeC One size fits none! Making affective state a key variable of behaviour change technology for chronic pain 2014 Working/Discussion Paper H Singh, M Bauer, W Chowanski, Y Sui, D Atkinson, D Baurley, M Fry, J Evans, N Bianchi-Berthouze The brains response to pleasant touch: an EEG investigation of tactile caressing 2014 Frontiers in Human Neuroscience, Journal article B Petreca, D Atkinson, N Bianchi-Berthouze, Dominic Furniss , S Baurley The future of textiles sourcing: exploring the potential for digital tools 2014 9th Design & Emotion International Conference, Conference paper (text), Colombia Danny Harrison , Paul Marshall , N Bianchi-Berthouze, Jon Bird Tracking physical activity: problems related to running longitudinal studies with commercial devices 2014 Ubicomp '14, Conference paper (text), Seattle A Tajadura-Jimnez, B Liu, N Bianchi-Berthouze, F Bevilacqua Using sound in multi-touch interfaces to change materiality and touch behavior 2014 Proceedings of the NordiCHI 2014: The 8th Nordic Conference on Human-Computer Interaction: Fun, Fast, Foundational, Journal article Nadia Berthouze , Aneesha Singh , N Bianchi-Berthouze, Williams A CdeC Walk a mile in my shoes: reflecting on studies with people with chronic pain 2014 Working/Discussion Paper E Furfaro, Nadia Berthouze , F Bevilacqua, Tajadura Sonification of surface tapping: Influences on behaviour, emotion and surface perception. 2013 Interactive Sonification, Conference paper (text), Bielefeld MSH Aung, Aneesha Singh , SL Lim, A Williams, P Watson, N Bianchi-Berthouze Automatic Recognition of Protective Behaviour in Chronic Pain Rehabilitation 2013 IEEE Workshop on UbiGame4Health'13, in conjuction with CHIItaly'13, Conference paper (text), Trento, Italy Danny Harrison , Jon Bird , Paul Marshall , Nadia Berthouze Looking for bright spots: a bottom-up approach to encouraging urban exercise 2013 Habits in HCI: 1st Workshop on Habits in Human-Computer Interaction (hosted as part of BCS HCI 2013), Conference paper (text), Uxbridge, UK Danny Harrison , Jon Bird , Paul Marshall , Nadia Berthouze Looking for bright spots: a bottom-up approach to encouraging urban exercise 2013 British HCI 2013, Conference proceeding, Uxbridge, UK Rose Johnson , N Bianchi-Berthouze, Yvonne Rogers , der Linden J van Embracing Calibration in Body Sensing: Using Self-Tweaking To Enhance Ownership and Performance 2013 He 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2013), Conference paper (text), Zurich T Shibata, A Michishita, N Bianchi-Berthouze Analysis and Model of Emotion of Japanese Sitting Postures by Japanese and British Observers 2013 Affective Computing and Intelligent Interaction, Conference paper (text), Geneve G McKeown, W Curran, D Kane, R McCahon, Harry Griffin , C McLoughlin, N Bianchi-Berthouze Human Perception of Laughter from Context-free Whole Body Motion Dynamic Stimuli 2013 Affective Computing and Intelligent Interaction, Conference paper (text), Geneve Harry Griffin , MSH Aung, B Romera-Paredes, G McKeown, W Curran, C McLoughlin, N Bianchi-Berthouze Laughter Type Recognition from Whole Body Motion 2013 Affective Computing and Intelligent Interaction, Conference paper (text), Geneve G McKeown, W Curran, C McLoughlin, Harry Griffin , N Bianchi-Berthouze Laughter induction techniques suitable for generating motion capture data of laughter associated body movements 2013 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, FG 2013, Conference paper (text) M Mancini, L Ach, E Bantegnie, T Baur, Nadia Berthouze , D Datta, Y Ding, S Dupont, Harry Griffin , F Lingenfelser Laugh When You're Winning 2013 9th IFIP WG 5.5 International Summer Workshop on Multimodal Interfaces (eNTERFACE), Conference paper (text), Lisbon, PORTUGAL MSH Aung, B Romera-Paredes, Aneesha Singh , S Lim, N Kanakam, ACDEC Williams, N Bianchi-Berthouze Getting rid of pain-related behaviour to improve social and self perception: a technology-based perspective. 2013 The 14th International Workshop on Image and Audio Analysis for Multimedia Interactive Services (WIAMIS) 2013, Conference paper (text), Paris MH Aung, N Bianchi-Berthouze, M Pontil, B Romera-Paredes Multilinear Multitask learning 2013 International Conference on Machine Learning (ICML'13), Conference paper (text), Atlanta C Ray, NL Bianchi-Berthouze, A Davis Subjective perception of facial expression of stress created using the Lombard effect 2013 IEEE International Symposium On Broadband Multimedia Systems and Broadcasting, Bmsb, Conference paper (text) D. Atkinson,, P. Orzechowski,, B. Petreca,, N Bianchi-Berthouze, P Watkins, S Baurley, S Padilla, M Chantler Tactile Perceptions of Digital Textiles: a design research approach 2013 CHI'13, Conference paper (text) B Romera-Paredes, MSH Aung, M Pontil, ACDC Williams, P Watson, N Bianchi-Berthouze Transfer Learning to Account for Idiosyncrasy in Face and Body Expressions 2013 10th International Conference on Automatic Face and Gesture Recognition, 2013. FG 2013, Conference paper (text), Shanghai, China N Bianchi-Berthouze Understanding the role of body movement in player engagement 2013 Human Computer Interaction, Journal article B Romera-Paredes, MS Aung, N Bianchi-Berthouze A One-Vs-One Classifier Ensemble with Majority Voting for Activity Recognition. 2013 European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2013, Conference paper (text), Germany A Kleinsmith, N Bianchi-Berthouze Affective Body Expression Perception and Recognition: A Survey 2013 IEEE Transactions on Affective Computing, Journal article B Petreca, N Bianchi-Berthouze, S Baurely, P Watkins, D Atkinson An embodiment perspective of affective touch behaviour in experiencing digital textiles 2013 Workshop on Mediated Touch and Affect (MeTA) , in conjunction with ACII'13, Conference paper (text), Geneva T Swann-Sternberg, Aneesha Singh , N Bianchi-Berthouze, A Williams User needs for technology supporting physical activity in chronic pain 2012 CHI Conference on Human Factors in Computing Systems, Conference paper (text), Austin, TX, USA P Orzechowski,, Padilla,S., D. Atkinson,, M.J. Chantler,, S. Baurley,, N. Bianchi-Berthouze,, P. Watkins,, B. Petreca, Archiving and Simulation of Fabrics with Multi-Gesture Interfaces 2012 MobileHCI, Conference paper (text) Romera-Paredes,B., A. Argyriou,, Williams, A. CdeC, N. Bianchi-Berthouze,, M. Pontil, Automatic Recognition of Facial Expressions 2012 IASP 14th World Congress on Pain, Conference paper (text) Rose Johnson , Yvonne Rogers , der Linden J van, N Bianchi-Berthouze Being in the thick of in-the-wild studies: the challenges and insights or researcher participation. 2012 CHI12 Proceedings., Conference paper (text) Rose Johnson , Yvonne Rogers , der Linden J van, N Bianchi-Berthouze Being in the thick of in-the-wild studies: The challenges and insights of researcher participation 2012 Proceedings of the 2012 ACM annual conference on Human Factors in Computing Systems (CHI'12), Conference paper (text) N Savva, A Scarinzi, N Bianchi-Berthouze Continuous recognition of players affective body expression as dynamic quality of aesthetic experience 2012 IEEE Transactions on Computational Intelligence and AI in Games, Journal article L Hughes, D Atkinson, N Bianchi-Berthouze, S Baurley Crowdsourcing an emotional wardrobe 2012 AltCHI 2012, Conference paper (text) L Hughes, D Atkinson, N Bianchi-Berthouze, S Baurley Crowdsourcing Emotional & Tactile Garment Perceptions 2012 Workshop on Re-conceptualizing Fashion in Sustainable HCI in conjunction with DIS'12, Conference paper (text) A. Singh,, T. Swann-Sternberg,, N. Bianchi-Berthouze,, Williams, A. CdeC, M. Pantic,, P. Watson, Emotion and pain: interactive technology to motivate physical activity in people with chronic pain 2012 Workshop on Emotion and Wellbeing, CHI'12, Conference paper (text) Aneesha Singh , T Swann-Sternberg, Nadia Berthouze , ACDC Williams, M Pantic, P Watson Emotion and pain: interactive technology to motivate physical activity in people with chronic pain 2012 CHI 2012 Workshop: Interaction Design and Emotional Wellbeing: 30th ACM Conference on Human Factors in Computing Systems, Conference paper (text) Paredes B Romera, A Argyriou, N Bianchi-Berthouze, M Pontil Exploiting Unrelated Tasks in Multi-Task Learning 2012 Artificial Intelligence and Statistics (AIST), Conference paper (text) M. Cella,, M.S.H. Aung,, H. Meng,, N. Bianchi-Berthouze,, B. Romera-Paredes,, A. Singh,, M. Shafizadehkenari,, Williams, A. CdeC, P. Watson,, A. Kemp, Identifying Pain Behaviour for Automatic Recognition 2012 14th World Congress on Pain, Conference paper (text) A. Singh,, T. Swann-Sternberg,, N. Bianchi-Berthouze,, Williams, A. CdeC Interactive Technology to Support Physical Activity in People With Chronic Musculoskeletal Pain: What Users Want 2012 IASP 14th World Congress on Pain, Conference paper (text) PM Orzechowski, S Padilla, D Atkinson, M Chantler, S Baurley, N Bianchi-Berthouze iShoogle: A Textile Archiving and Simulation Tool 2012 Human Computer Interaction (Demo), Conference paper (text) SZ Ibrahim, Ann Blandford , N Bianchi-Berthouze, IEEE Privacy Settings on Facebook: Their Roles and Importance 2012 2012 IEEE INTERNATIONAL CONFERENCE ON GREEN COMPUTING AND COMMUNICATIONS, CONFERENCE ON INTERNET OF THINGS, AND CONFERENCE ON CYBER, PHYSICAL AND SOCIAL COMPUTING (GREENCOM 2012), Conference paper (text) T Swann-Sternberg, Aneesha Singh , N Bianchi-Berthouze, CdeC A Williams User needs for technology supporting physical activity in chronic pain 2012 Work in Progress, CHI'13, Conference paper (text) T Swann-Sternberg, Aneesha Singh , N Bianchi-Berthouze, ACDC Williams User needs for technology supporting physical activity in chronic pain 2012 Proceedings of the 2012 ACM annual conference extended abstracts on Human Factors in Computing Systems Extended Abstracts (CHI EA '12), Conference paper (text) NL Bianchi-Berthouze What Can Body Movement Tell Us About Players Engagement? 2012 Measuring Behaviour (MB'12), Conference paper (text) Y Gao, N Bianchi-Berthouze, Hongying Meng What does touch tell us about emotions in touchscreen-based gameplay? 2012 ACM Transactions on Computer - Human Interaction, Journal article J Drummond, Nadia Berthouze , A Steed Affective reactions to visually masked stimuli within a virtual environment 2011 Annual Review of CyberTherapy and Telemedicine, Journal article S Hutson, SL Lim, PJ Bentley, N Bianchi-Berthouze, A Bowling Investigating the suitability of social robots for the wellbeing of the elderly 2011 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Journal article M Thrasher, Der Zwaag MD Van, N Bianchi-Berthouze, JHDM Westerink Mood recognition based on upper body posture and movement features 2011 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Conference paper (text) M Shafizadeh, Hongying Meng , N Bianchi-Berthouze Development of a quantitative disability assessment method for people with multiple sclerosis 2011 Fifth Joint triennial congress of the European and Americas committees for treatment and research in multiple sclerosis(ECTRIMS/ACTRIMS), Conference paper (text), Amsterdam, Netherlands A Kleinsmith, N Bianchi-Berthouze Form as a Cue in the Automatic Recognition of Non-Acted Affective Body Expressions 2011 Affective Computing and Intelligent Interaction (ACII'11), Conference paper (text), Menphis, Tennessee S Hutson, SL Lim, N Bianchi-Berthouze, P Bentley Investigating the Suitability of Social Robots for the Wellbeing of the Elderly 2011 Affective Computing and Intelligent Interaction (ACII'11), Conference paper (text), Menphis, Tennessee M Thrasher, der Zwaag M van, N Bianchi-Berthouze, J Westering Mood Recognition Based on Upper Body Posture and Movement Features 2011 Affective Computing and Intelligent Interaction (ACII'11), Conference paper (text), Menphis, Tennessee Hongying Meng , A Kleinsmith, N Bianchi-Berthouze Multi-score Learning for Affect Recognition: the Case of Body Postures 2011 Affective Computing and Intelligent Interaction (ACII'11), Conference paper (text), Menphis, Tennessee A Kleinsmith, N Bianchi-Berthouze, A Steed Automatic Recognition of Non-Acted Affective Postures 2011 IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, Journal article N Savva, N Bianchi-Berthouze Automatic recognition of affective body movement in a video game scenario 2011 International Conference on Intelligent Technologies for interactive entertainment (INTETAIN), Conference paper (text) J Nijhar, N Bianchi-Berthouze, G Boguslawski Does Movement Recognition Precision affect the Player Experience in Exertion Games? 2011 International Conference on Intelligent Technologies for interactive entertainment (INTETAIN), Conference paper (text), Genoa Hongying Meng , B Romera-Paredes, N Bianchi-Berthouze Emotion Recognition by Two View SVM_2K Classifier on Dynamic Facial Expression Features 2011 FERA 2011 - FG 2011 Workshop on Facial Expression Recognition and Analysis Challenge, Conference paper (text), Santa Barbara, California, USA J Drummond, Nadia Berthouze , A Steed Affective Reactions to Visually Masked Stimuli within a Virtual Environment 2011 Annual Review of Cybertherapy and Telemedicine 2011 - Advanced Technologies in Behavioral, Social and Neurosciences, Journal article A Kleinsmith, N Bianchi-Berthouze, A Steed Automatic Recognition of Non-Acted Affective Postures 2011 IEEE Transactions on Systems, Man and Cybernetics, Part B, Journal article Hongying Meng , N Bianchi-Berthouze Naturalistic affective expression classification by a multi-stage approach based on Hidden Markov Models 2011 Affective Computing and Intelligent Interfaces, Conference paper (text), Menphis J Ki, C Bouchard, N Bianchi-Berthouze, A Aoussat Measuring Semantic and Emotional Responses to Bio-inspired Design 2010 International Conference on Design Creativity, Conference paper (text), London N Bianchi-Berthouze Does body movement affect the player engagement experience? 2010 International Conference on Kansei Engineering and Emotion Research, Conference paper (text), Paris M Iacobini, T Gonsalves, N Bianchi-Berthouze, C Frith Emotional contagion in interactive art 2010 Conference on Kansei Engineering and Emotion Research, Conference paper (text), Paris A Kleinsmith, N Bianchi-Berthouze Modelling Non-Acted Affective Posture in a Video Game Scenario 2010 International Conference on Kansei Engineering and Emotion Research, Conference paper (text), Paris T Gonsalves, N Bianchi-Berthouze El projecte camaleo: una investigacio d'art i ciencia sobre el scontagi emocional 2010 Chapter, Barcelona M Iacobini, T Gonsalves, N Bianchi-Berthouze, C Frith Emotional contagion in interactive art 2010 Conference on Kansei Engineering and Emotion Research, Conference paper (text) F Muller, Nadia Berthouze Evaluating Exertion Games Experiences from Investigating Movement-Based Games 2010 Chapter, London A Kleinsmith, N Bianchi-Berthouze Modelling Non-Acted Affective Posture in a Video Game Scenario 2010 International Conference on Kansei Engineering and Emotion Research, Conference paper (text) Geraint Jones , Nadia Berthouze , R Bielski, S Julier Towards a Situated, Multimodal Interface for Multiple UAV Control 2010 2010 IEEE International Conference on Robotics and Automation (ICRA), Conference paper (text), Piscataway, US Nadia Berthouze , M Gillies, A Ayesh, H Abdulrab, K Bard, D Bernhardt, C Bertelle, S Baudic, A Camurri, G Castellano Symposium on Mental States, Emotions and their Embodiment 2009 Adaptive and Emergent Behaviour and Complex Systems - Proceedings of the 23rd Convention of the Society for the Study of Artificial Intelligence and Simulation of Behaviour, AISB 2009, Conference paper (text) T Gonsalves, C Frith, B Averbeck, Y Kashef, AN Mahmoud, RE Kaliouby, R Picard, Nadia Berthouze , M Iacobini, H Critchley The Chameleon project: An art installation exploring emotional contagion 2009 Proceedings - 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009, Conference paper (text) T Gonsalves, C Frith, B Averbeck, Y Kashef, Kaliouby R El, R Picard, Nadia Berthouze , M Iacobini, H Critcheley, H Sloan Emotional Communication with Interactive Artwok - The Chameleon Project. 2009 Proceedings of Internationl Conference on Affective Computing and Intelligent Interaction (ACII'09), Conference paper (text), Amsterdam M Iacobini, T Gonsalves, Nadia Berthouze , C Frith Creating Emotional Communication with Interactive Artwork 2009 Affective Computing and Intelligent Interaction (ACII'09), Conference paper (text), Amsterdam M Pasch, N Bianchi-Berthouze, Dijk B van, A Nijholt Immersion in Movement-Based Interaction 2009 International Conference on Intelligent Technologies for Interactive Entertainment (INTETAIN'09), Conference paper (text) M Pasch, N Bianchi-Berthouze, Dijk B van, A Nijholt Movement-based Sports Video Games: Investigating Motivation and Gaming Experience 2009 Entertainment Computing, Journal article M Pasch, N Bianchi-Berthouze, Dijk B van, A Nijholt Movement-based sports video games: Investigating motivation and gaming experience 2009 Entertainment Computing, Journal article A Kleinsmith, I Rebai, Nadia Berthouze , JC Martin Postural Expressions of Emotion in a Motion Captured Database and in a Humanoid Robot 2009 Proceedings of the AFFINE workshop, in conjunction with the 11th International Conference on Multimodal Interfaces, Conference paper (text) S Lindley, Couteur J Le, N Bianchi-Berthouze Stirring up Experience through Movement in Game Play: Effects on Engagement and Social Behaviour 2008 SIGCHI conference on Human factors in computing systems, Conference paper (text) Nadia Berthouze Body movement as a means to modulate engagement in computer games 2008 Workshop on Whole body Interaction II: The future of the human body, in conjunction with HCI'08, Conference paper (text) Nadia Berthouze Body Movement as a Modality for supporting Positive Experience in HCI 2008 Exertion Interface Workshop, SIGCHI conference on Human factors in computing systems, Conference paper (text) M Pasch, Nadia Berthouze , Dijk1 B van, A Nijholt Game or Simulation: Identifying Movement Patterns Whilst Video Gaming with the Nintendo Wii 2008 Workshop on Facial and Bodily Expressions for Control and Adaptation of Games, in conjunction with IEEE International Conference on Automatic Face and Gesture Recognition 2008, Conference paper (text), Amsterdam, The Netherlands N Bianchi-Berthouze Using motion capture to recognize affective states in humans 2008 Symposium on Measuring behavior using motion capture, International Conference on Methods and Techniques in Behavioral Research '08, Conference paper (text) Nadia Berthouze , W Kim, P Darshak Does Body Movement Engage You More in Digital Game Play? and Why? 2007 Affective Computing and Intelligent Interaction, Conference paper (text), Berlin/Heidelberg A Kleinsmith, Nadia Berthouze Recognizing Affective Dimensions from Body Posture 2007 Affective Computing and Intelligent Interaction, Conference paper (text), Berlin /Heidelberg Ann Blandford , Rachel Benedyk , Nadia Berthouze , Anna Cox , J Dowell The Challenges of Creating Connections and Raising Awareness: Experience from UCLIC 2007 INTERACT 2007, Conference paper (text), USA S Bhalla, M Hasegawa, E Gutierrez, Nadia Berthouze , T Izumita Computational interface for web-based access to dynamic contents 2006 International Journal of Computational Science and Engineering, Conference paper (text) A Kleinsmith, Silva R De, N Bianchi-Berthouze Cross-Cultural Differences in Recognizing Affect from Body Posture 2006 Interacting with Computers, Journal article N Bianchi-Berthouze, Paul Cairns , Anna Cox , Charlene Jennett , WW Kim On Posture as a Modality for Expressing and Recognizing Emotions 2006 Other A Kleinsmith, N Bianchi-Berthouze, L Berthouze An Effect of Gender in the Interpretation of Affective Cues in Avatars 2006 Workshop on Gender and Interaction'06, In conjunction with the International Conference of Advanced Visual Interfaces, Conference paper (text) S Bhalla, M Hasegawa, E Gutierrez, Nadia Berthouze Computational Interface for web-based access to dynamic content 2006 International Journal of Computational Science and Engineering, Journal article N Bianchi-Berthouze, P Mussio Introduction to the Special issue section on Context and Emotion Aware Visual Interaction 2006 Journal of Visual Languages and Computing, Journal article, Oxford N Bianchi-Berthouze, Paul Cairns , Anna Cox On posture as a modality for expressing and recognizing emotions. 2006 BCS-HCI 2008 Workshop: Emotion and HCI, Conference paper (text), BCS-HCI 2008 Workshop: Emotion and HCI Paul Cairns , Anna Cox , Nadia Berthouze , Charlene Jennett , S Dhoparee Quantifying the experience of immersion in games. 2006 CogSci 2006 Workshop: Cognitive Science of Games and Gameplay, Conference paper (text), CogSci 2006 Workshop: Cognitive Science of Games and Gameplay Anna Cox , Paul Cairns , Nadia Berthouze , Charlene Jennett The use of eyetracking for measuring immersion. 2006 CogSci 2006 Workshop: What have eye movements told us so far, and what is next, Conference paper (text) A Kleinsmith, Silva R De, Nadia Berthouze Grounding Affective Dimensions into Postures Description 2005 International Conference on Affective Computing and Intelligent Interaction, Conference paper (text), Berlin / Heidelberg Silva R De, A Kleinsmith, Nadia Berthouze Towards Unsupervised Detection of Affective Body Posture Nuances 2005 International Conference on Affective Computing and Intelligent Interaction, Conference paper (text), Berlin / Heidelberg A Kleinsmith, T Fushimi, N Bianchi-Berthouze An incremental and interactive affective posture recognition system 2005 International Workshop on Adapting the Interaction Style to Affective Factors, in conjunction with the International Conference on User Modeling, Conference paper (text), 2005 A Kleinsmith, Silva R De, Nadia Berthouze Recognizing Emotion from Postures: Cross-Cultural Differences in User Modeling 2005 User Modeling, Conference paper (text), Berlin / Heidelberg DR Wanasinghe, CNW Giragama, N Bianchi-Berthouze Color Tone Perception and Naming: Development in the Acquisition of Colour Modifiers 2005 International Conference on Development and Learning, Conference paper (text) T Izumita, B Bhalla, N Bianchi-Berthouze A Query-By-Object based Interface for querying regional data (In Japanese) 2005 Report S Bhalla, Hasegawa M Masaki, de Lara Gutierrez E Lopez, Nadia Berthouze , T Izumita An Interface for Web Based Access to Dynamic Contents 2005 Databases in Networked Information Systems, Conference paper (text), Berlin / Heidelberg B, N Bianchi-Berthouze, P Mussio Introduction to the special issue on Context and emotion aware visual computing 2005 Journal of Visual Languages and Computing, Journal article, Oxford, UK DR Wanasinghe, N Bianchi-Berthouze, AP Madurapperuma, CNW Giragama Linguistic Boundaries Between Color Tones 2005 Proceedings of International Workshop on Humans and Computers (HC05), Conference paper (text) CNW Giragama, N Bianchi-Berthouze, AP Madurapperuma, DR Wanasinghe Perceptual and Semantic Structures of Color Tones in Sinhala Language 2005 Proceedings of International Workshop on Humans and Computers (HC05), Conference paper (text) Silva R De, N Bianchi-Berthouze Measuring posture features saliency in expressing affective states 2004 IEEE International conference on Intelligent Robotics and Systems, Conference paper (text) Silva PR De, N Bianchi-Berthouze Modeling human affective postures:an information theoretic characterization of posture features 2004 Computer Animation and Virtual Worlds, Journal article N Bianchi-Berthouze, A Kleinsmith Erratum: A categorical approach to affective gesture recognition (Connection Science (December 2003) 15:4 (259-269)) 2004 Connection Science, Journal article N Bianchi-Berthouze, WL Martens, CNW Giragama, DR Wanasinghe Quantitative subjective analysis of color tone perception and description by native speakers of Japanese 2004 Human Vision and Electronic Imaging IX (IS&T/SPIE), Conference paper (text) N Bianchi-Berthouze, A Kleinsmith A categorical approach to affective gesture recognition 2003 Connection Science, Journal article N Bianchi-Berthouze, T Hayashi Subjective interpretation of complex data: Requirements for supporting Kansei mining process 2003 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Journal article N Bianchi-Berthouze, N Katsumi, H Yoneyama, S Bhalla, T Izumita Supporting the Interaction between User and Web-based Multimedia Information 2003 IEEE International Conference on Web Intelligence, Conference paper (text) N Bianchi-Berthouze K-DIME: an affective image filtering system 2003 IEEE MultiMedia, Journal article N Bianchi-Berthouze Databases in Networked Information Systems: Third InternationalWorkshop, DNIS 2003 Aizu, Japan, September 22-24, 2003 Proceedings 2003 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Conference paper (text) N Bianchi-Berthouze Il ruolo del colore nella percezione soggettiva di immagini: verso un modello computazionale 2003 Disegno e Design Digitale, Journal article, Milan, Italy N Bianchi-Berthouze, T Fushimi, M Hasegawa, A Kleinsmith, H Takenaka, L Berthouze Learning to Recognize Affective Body Posture 2003 IEEE International Symposium on Computational Intelligence for Measurement Systems and Applications, Conference paper (text) N Bianchi-Berthouze, T Hayashi Mining Multimedia and Complex Data 2003 Chapter N Bianchi-Berthouze Preface 2003 Book Nadia Berthouze Proceedings of the 3rd edition of the International Workshop on Databases in Networked Information Systems 2003 Book N Bianchi-Berthouze Subjective perception of natural scenes: the role of color 2003 Color Imaging VIII: Processing, Hardcopy, and Applications, SPIE, Conference paper (text) A Kleinsmith, T Fushimi, H Takenaka, N Bianchi-Berthouze Towards Bi-Directional Affective Human Interaction 2003 Journal of Three Dimensional Images, Journal article A Kleinsmith, N Bianchi-Berthouze Towards Learning Affective Body Gesture 2003 International Workshop on Epigenetic Robotics, Conference paper (text) N Bianchi-Berthouze Mining multimedia subjective feedback 2002 Journal of Intelligent Information Systems, Journal article N Bianchi-Berthouze, CL Lisetti Modeling Multimodal Expression of User's Affective Subjective Experience 2002 User Modeling and User-Adapted Interaction, Journal article S Bhalla, M Hasegawa, N Bianchi-Berthouze A framework for high level user interface for accessing dynamic contents on the web 2002 Conference on Knowledge-Based Intelligent Information & Engineering Systems, Conference paper (text) T Hayashi, A Sato, Nadia Berthouze A hierarchical model to support Kansei mining process 2002 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Journal article S Bhalla, T Hozozawa, H Sasaki, K Watanabe, T Yatsunami, N Bianchi-Berthouze, T Izumita A User Interface for a Web-Geographic Information System (Web-GIS) 2002 International conference on Systemics, Cybernetics and Informatics, Conference paper (text) N Bianchi-Berthouze, P Bottoni Articulating Action in Multimodal Interaction 2002 Journal of Three Dimensional Images, Journal article N Bianchi-Berthouze, L Berthouze Development de la communication subjective 2002 Chapter N Bianchi-Berthouze, T Hayashi Subjective interpretation of complex data: Requirements for supporting the mining process 2002 Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Journal article T Hayashi, A Sato, N Bianchi-Berthouze Third International Conference on Intelligent Data Engineering and Automated Learning 2002 Chapter N Bianchi-Berthouze An Interactive Environment for Kansei Data Mining 2001 International workshop on multimedia data mining, in conjunction with the Seventh ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, Conference paper (text) Nadia Berthouze , L Berthouze Exploring Kansei in Multimedia Information 2001 Kansei Engineering International, Journal article N Bianchi-Berthouze Kansei-Mining: identifying visual impressions as patterns in images 2001 IFSA World Congress and 20th NAFIPS International Conference, Conference paper (text) N Bianchi-Berthouze On Kansei-Based Multimedia Information Systems 2001 International Workshop Content-Based Multimedia Indexing, Conference paper (text) N Bianchi-Berthouze, T Kato K-DIME: An Adaptive System to Retrieve Images from the WEB Using Subjective Criteria 2000 Workshop. on Databases in Networked Information Systems, Conference paper (text) Nadia Berthouze , T Kato Querying and Personalizing the Web: A Multimedia Personal Assistant 2000 IEEE International Conference on System Man and Cybernetics, Conference paper (text) N Bianchi-Berthouze, T Kato Retrieving Images from the Web Using Subjective Criteria 2000 Chapter, Berlin / Heidelberg N Bianchi-Berthouze, P Bottoni, T Kato Towards Mutual Comprehension Through Interaction 2000 Advanced Visual Interfaces, Conference paper (text) N Bianchi-Berthouze, L Berthouze, T Kato Understanding subjectivity: An interactionist view 1999 7th International User Modelling Conference, Conference paper (text), BANFF, CANADA N Bianchi-Berthouze, T Kato A Dynamic Interactive Kansei User Model 1999 IEEE International Conference on Systems, Man, and Cybernetics (SMC '99), Conference paper (text) N Bianchi-Berthouze, T Kato A Visual Interactive Environment to Understand, Model and Exploit User Subjectivity in Image Retrieval 1999 International Conference on Image Analysis and Processing (ICIAP'99), Conference paper (text) N Bianchi-Berthouze, L Berthouze, T Kato A visual interactive environment for image retrieval by subjective parameters 1999 IEEE 3rd Workshop on Multimedia Signal Processing (MMSP'99), Conference paper (text) R Inder, N Bianchi-Berthouze, T Kato K-DIME: a software framework for Kansei filtering of Internet material 1999 IEEE International Conference of Systems, Man and Cybernetics, Conference paper (text) N Bianchi-Berthouze, L Berthouze, T Kato Understanding Subjectivity: An Interactivist View 1999 User Modeling (UM'99), Conference paper (text) N Bianchi, L Berthouze, T Kato Towards a comprehensive integration of subjective parameters in database browsing 1998 9th International Workshop on Database and Expert Systems Applications, Conference paper (text), VIENNA, AUSTRIA N Bianchi, L Berthouze, T Kato Towards a Comprehensive Integration of Subjective Parameters in Database Browsing 1998 Ninth International Workshop on Database and Expert Systems Applications, DEXA'98, Conference paper (text) N Bianchi, L Berthouze, T Kato Supervised self-organization of user's Kansei model for image retrieving 1997 2nd International Conference on Cognitive Technology - Humanizing the Information Age (CT 97), Conference paper (text), AIZU WAKAMATSU, JAPAN Nadia Berthouze Computing with/on Images 1997 Chapter Temitayo Olugbade , Nicolai Marquardt , N Bianchi-Berthouze A Robotic Assisting-Therapist for Chronic Pain Rehabilitation: Mood-State Recognition N/A Poster, HRI'14 Pioneers Workshop Bielefeld, Germany A Tajadura, M tsakiris, T marquardt, Nadia Berthouze Action sounds update the mental representation of arm dimension: contributions of kinaesthesia and agency N/A Frontiers in Psychology, Journal article L Berthouze, N Bianchi-Berthouze Affective appraisal of avatar postures: a FMRI study N/A Poster A Tajadura-Jimnez, O Deroy, N Bianchi-Berthouze, T Marquardt, T Asai, T Kimura Auditory-tactile induced changes in represented leg height when dropping a ball N/A Poster, The 15th International Multisensory Research Forum Temitayo Olugbade , MS Aung, Nicolai Marquardt , Williams A CdeC, N Bianchi-Berthouze Automatic Recognition of Self-Reported Pain from Body Movement and Muscle Activation. N/A Poster, International Association for the Study of Pain Temitayo Olugbade , Joseph Newbold , Rose Johnson , E Volta, P Alborno, G Volpe, Nadia Berthouze Bodily cues of childrens learning-related experiences during mathematics problem solving N/A Poster, Consortium of European Research on Emotion (CERE) Glasgow A Tajadura-Jimnez, F Cuadrado, P Rick, Nadia Berthouze , Aneesha Singh , A Vljame, F Bevilacqua Designing a gesture-sound wearable system to motivate physical activity by altering body perception1 N/A Poster, MOCO'18 Genoa, Italy Ana Tajadura-Jimenez , A Valjamae, F Bevilacqua, Nadia Berthouze Principles for Designing Body-Centred Auditory Feedback N/A Chapter Youngjun Cho , SJ Julier, Nicolai Marquardt , N Bianchi-Berthouze Robust respiration tracking in high-dynamic range scenes using mobile thermal imaging N/A Journal article Ana Tajadura-Jimenez , L Zhang, Joseph Newbold , P Rick, NL Bianchi-Berthouze Self-produced walking sounds change body-representation: An investigation on individual differences and potential positive impact on physical activity N/A Poster, IMRF'18 Toronto E Funfaro, N Bianchi-Berthouze, F Bevilacqua, A Tajadura-Jimnez Sonification of surface tapping: Influences on behaviour, emotion and surface perception N/A Working/Discussion Paper B Romera-Paredes, MSH Aung, M Pontil, ACDC Williams, Nadia Berthouze , P Watson Transfer learning to account for idiosyncrasy in face and body expressions N/A Automatic Face and Gesture Recognition, Journal article Joseph Newbold , N Gold, Nadia Berthouze Visual cues effect on the impact of sonification on movement N/A Poster, MOCO Genoa Parent Departments University College London UCL Computer Science UCL Division of Psychology and Language Sciences Collaborations ICRI UCL Institute of Digital Health Global Disability Innovation Hub Connect with us About UCLIC Meet UCLIC people UCL Interaction Centre - University College London, 2nd floor 66-72 Gower Street, London, WC1E 6BT Tel: +44 (0) 20 3108 7050 2001-2019 UCLIC Disclaimer Freedom of Information Accessibility Privacy Cookies Contact Us Intranet Top diff --git a/src/data/compiled_bios/1003.txt b/src/data/compiled_bios/1003.txt new file mode 100644 index 0000000000..7ab2bedfe9 --- /dev/null +++ b/src/data/compiled_bios/1003.txt @@ -0,0 +1 @@ + Marta M. Betcke Search this site home activities research publications codes teaching links home activities research publications codes QARPACK teaching links home Marta M. Betcke Lecturer University College London Dept. of Computer Science Gower Street London WC1E 6BT United Kingdom Office: 3.08 Front Engineering Building Tel: +44 (0)20 7679 4355 (Direct Dial) Internal: 34355 Fax: +44 (0)20 7387 1397 Email: M.Betcke (at) ucl.ac.uk I am a lecturer in the Department of Computer Science at the University College London. I am also a member of Centre for Inverse Problems and Centre for Medical Image Computing. Between 2010 and 2013, I held an EPSRC Postdoctoral Research Fellowship "Image Reconstruction: the Sparse Way" at UCL to investigate the implications of sparsity on image acquisition and reconstruction in different modalities . Beforecoming to UCL in the end of 2009, I was a PDRA in the School of Mathematics at the University of Manchester working on novel X-ray CT scanners for airport baggage screening. My interest is in broad areas of Inverse Problems, Numerical Analysis andScientificComputing. In particular innumerical solution of inverse problems, tomographic image reconstruction, compressed sensing, sparsity and compression and appliedharmonic analysis. I enjoy working on novel imaging technologies andtheirapplications with focus on experimental design and reconstruction problem . What's up? PhD studentship in Imaging Foot and Ankle Dynamics . Please contact me for details . IMA Inverse Problems @ Isaac Newton Institute Cambridge, 19-21 September 2017 LMS Inverse Day (topic TBA) @ Isaac Newton Institute Cambridge, 18 September 2017 Upcoming ATI workshop "Inverse Problems in Data Science" , 8-10 May 2017joint with LMS Inverse Day, 11 May 2017 (with Natalia Bochkina, Carola Schoenlieb, Sean Holman ) Upcoming minisymposium "Numerical Microlocal Analysis" @ 100 years Radon transform, Linz 27-31 March 2017 (with Juergen Frikel) Bath thematic semester on imaging , Spring 2017 EPSRC funded Inverse Problems Network (Coordinator: Malcolm Brown) December 2016 - December 2017 Upcoming LMS Inverse Day "Geometric Inverse Problems" @ Manchester 28 February 2017 ( with Natalia Bochkina, Sean Holman ) SIAM UKIE Annual meeting , 12 January Glasgow, 2017 LMS funded Inverse Day series ( with Natalia Bochkina, Sean Holman ) New course: Numerical Optimisation running first time in term 2 in 2016/17. Welcome to our first cohort of MSc Scientific Computing students 2016/2017. Upcoming minisymposium "Imaging in the Fast Lane: In the Pursuit of Dynamic Information" @ SIAM IS 2016 (with Felix Lucka) Inverse Problems in the Alps , Obergurgl, 15-19 March 2016 Theoretical and Computational Approaches to Inverse Problems ,ICMS, Edinburgh, 2-4 December 2015 Upcoming minisymposium " Recent Trends in Hybrid Tomography " at AIP 2015 (with Simon Arridge and Kim Knudsen) LMS Inverse Day on Learning in Inverse Problems , 9th January 2015, UCL, London IPTA , Bristol, 26-28 August 2014 LMS Inverse Day on Hybrid and Multi-Modal Imaging ,4 July 2014, Manchester, UK Upcoming minisymposium at SIAM IS 2014 (with Carola Schoenlieb, Cambridge) Lorentz Centre workshop " Advanced X-Ray Tomography: Experiment, Modeling, and Algorithms" (10-14 Feb 2014, Leiden, Netherlands ) LMS Meeting "Sparse Regularization for Inverse Problems" ,7 Feb 2014, Cambridge, UK Opening meeting of the UCL Centre for Inverse Problems Centre for Inverse Problems @ UCL Town Meeting, with arenownguest speaker Prof Gunther Uhlmann Our joint Manchester University and Rapiscan project scores the The Engineer Technology & Innovation 2010 Defence & Security Award, here it the official University of Manchester press release Read about my Fellowship @ The Engineer Sign in | Recent Site Activity | Report Abuse | Print Page | Powered By Google Sites diff --git a/src/data/compiled_bios/1004.txt b/src/data/compiled_bios/1004.txt new file mode 100644 index 0000000000..cdf283acd5 --- /dev/null +++ b/src/data/compiled_bios/1004.txt @@ -0,0 +1 @@ + Close UCLIC - UCL Interaction Centre Home Home People Academics Administration Researchers PhD students Visitors Former UCLICers Study Prospective Research Students Induction Week Prospective Taught Students Studying HCI Part-Time Study Apply Now Graduate Destinations Student views FAQ New Students Current Research Students Current Taught Students Distinction Projects UCLIC Alumni Research Affective Computing Health and Wellbeing Collaboration & Communication Interactions in the Wild Designing Future Interfaces Physical Computing Educational Technologies Persuasive Technologies AI and HCI Assistive and Enabling Technology Publications Books About us Collaborate with us Research Collaborations Teaching Collaborations UCLIC's History News, Events, Seminars News Events Seminars Jobs Home People Academics Administration Researchers PhD students Visitors Former UCLICers Study Research Publications About us News, Events, Seminars Home People Ann Blandford Ann Blandford Professor & Director of UCL Institute of Digital Health a.blandford@ucl.ac.uk +44 203 108 7049 (internal: 57049) Room: 2.02 UCLIC, University College London 66 - 72 Gower Street London, WC1E 6EA United Kingdom @annblandford Blog: HCI Sense & Safety Google Scholar Office hours Research External activities Videos, books and other resources Brief biography PhD students Research Publications Office hours If you wish to meet me during office hour, I strongly recommend booking a meeting rather than turning up and hoping... Research My funded work is on evaluating complex systems "in the wild", with a focus on Digital Health . I take a pragmatic approach to developing and applying theory in practice, recognising and working with the inherent "messiness" of the real world. I am leading or involved in the following funded projects: Get a Move On : EPSRC Network Plus. FaST Healthcare : EPSRC Network Plus. Contraception Choices : Best Contracteptive Choice for You (Improving the acceptability and uptake of LARC to young women). Wellcome Trust Centre for Surgical and Interventional Sciences Recent activities include: Principal Investigator on ECLIPSE : Exploring the Landscape of Intravenous Infusion Practices & Errors (NIHR) Principal Investigator on an EPSRC Programme Grant CHI+MED : Computer-Human Interaction for Medical Devices (EPSRC Programme Grant). This is also described in cs4fn . UCL lead investigator on SerenA : The Serendipity Arena (EPSRC sandpit project, 2010-2013). Co-investigator at Farr Institute @ London : MRC e-Health Informatics Translational Research Centre. External activities On Executive of the UK Computing Research Committee (Chair 2016-2018). Suffrage Science award alumna (holder 2016-2018) Visiting Professor at Swansea University and Middlesex University . Member of the EPSRC College . Serving on the REF 2021 sub-panel on Computer Science and Informatics. Videos, books and other resources Book with Dominic Furniss and Stephann Makri on ' Qualitative HCI Research: Going Behind the Scenes '. - probably the only HCI research methods text to feature lions. Chapter on semi-structured qualitative studies in the Interaction-Design.org encyclopaedia . Largely superseded by the book (above) on Qualitative HCI Research Books on Fieldwork for Healthcare (Case studies) and Fieldwork for Healthcare (Guidance for investigating human factors in computing systems) . Book with Simon Attfield on ' Interacting with Information '. Two talks recorded for presentation around World Usability Day 2018 in Jakarta, sponsored by the ACM Distinguished Speakers Programme , on Conceptual Fit and Digital Health . Keynote talk at the Computing Conference 2018 on Technology that works - also sponsored by the ACM DSP . Telegraph "Technology Intelligence" podcast on the future of healthcare (cameo appearance) "Words of wisdom(!)" on doing PhD research Lunch Hour Lecture on human error and device design (UCL, Nov 2011). It's available on YouTube . Video on Engineering HCI with Dom Furniss and Bonnie John. An interview in Research Professional . Brief biography I am Professor of Human-Computer Interaction in the Department of Computer Science at UCL, and a member of UCL Interaction Centre (UCLIC, jointly supported by the Department of Computer Science and the Division of Psychology and Language Sciences). I was Director of UCLIC 2004-2011. In 2013, I was recognised as an academic role model in the School of Life and Medical Sciences , a testament to UCL's support for interdisciplinary working. I am also a parent and a grandparent. In 2015, I was appointed as the first Director of the UCL Institute of Digital Health , and was a Suffrage Science award holder (2016-2018). My first degree is in Mathematics, from Cambridge University, and my PhD is in Artificial Intelligence and Education, from the Open University. I started my career in industry as a software engineer, followed by a period managing the Computer Assisted Teaching Unit at QMUL. I gradually developed a focus on the use and usability of computer systems. In 1991, I joined the Applied Psychology Unit in Cambridge as a research scientist, working on the AMODEUS project. I moved to Middlesex University, initially as a lecturer, and subsequently as Professor and Director of Research in Computing Science. I moved to UCL as a Senior Lecturer in 2002 and became a professor (again) in 2005. My focus is now on technology for health and wellbeing. I have been technical programme chair for IHM-HCI 2001, HCI 2006, DSVIS 2006, NordiCHI2010 and ICHI 2016. I chaired AISB (1997-1999), and was a member of the EPSRC Information and Communications Technologies Strategic Advisory Team (2004-2008). I was Vice Chair of IFIP Working Group 2.7/13.4 (2010-2013). I am a Fellow of the BCS and a member of the UK Computing Research Committee (UKCRC) . I Chaired UKCRC (2016-18) and am serving on the REF 2021 sub-panel on Computer Science and Informatics. PhD students The following are current students and graduates who have studied with me: Maura Bellio - exploiting novel imaging technology to support daily work Tudinh Duong - novel technologies for paediatric patients and families Hadiza Ismaila - technology for behaviour change for non-communicable diseases Julia Manning - technologies to manage stress for teachers Soomal Mohsin-Shaikh - working with e-prescribing systems Nicola Newhouse - technology support for perinatal mental health Irina Osovskaya - patient controlled electronic health records Dilisha Patel - apps to improve male health for conception Mark Warner - usable privacy for health data Maartje Ament - The role of goal relevance in the occurrence of systematic slip errors in routine procedural tasks George Buchanan- spatial hypertext and digital libraries Abdigani Diriye - Search interfaces for known-item and exploratory search tasks Sarah Faisal - From tool to instrument: an experiential analysis of interacting with information visualization Dominic Furniss - Beyond problem identification: valuing methods in a 'system usability practice' Kostas Giannakis - graphical techniques for describing sounds Stephen Hassard - The persistence of analogies in design decision-making Becky Hill - Diagnosing Co-ordination Problems by Modelling the Emergency Management Response to Disasters Huayi Huang - analysing incidents with medical systems. Jo Hyde - usability of multimodal systems Amirrudin Kamsin - Improving Tool Support for Personal Task Management Simon Li - An empirical investigation of post-completion error: A cognitive perspective Stephann Makri - A study of lawyers' information behaviour leading to the development of two methods for evaluating electronic resources Aisling O'Kane - Individual differences and contextual factors influence the experience and practice of self-care with type 1 diabetes technologies George Papatzanis - evaluation of multimodal in-car systems Olga Perski - technology for behaviour change Atish Rajkomar - Augmenting Distributed Cognition analysis for home haemodialysis: from a system of representations to systems of activity-centric interactions Cecile Rigny - executable user models Serengul Smith - machine learning for user modelling in hypertext navigation Kathy Stawarz - Towards better medication adherence apps: Preventing forgetfulness by facilitating the formation of routine-based remembering strategies Hanna Stelmaszewska - photo sharing with camera phones Suziah Sulaiman - User haptic experience: Transferring real world tactile sensation of drawing tools into haptic interfaces David Thompson (EngD, NATS) - Behavioural Markers of Air Traffic Controller Development Ian Thurlow (EngD, BT) - Characterisation of business documents: an approach to the automation of quality assessment Haiyan Xiong - machine assisted proof Research Publications Authors Title Year Publication Mark Warner , A Gutmann, MA Sasse, Ann Blandford Privacy Unraveling Around Explicit HIV Status Disclosure Fields in the Online Geosocial Hookup App Grindr 2018 The 21st ACM Conference on Computer-Supported Cooperative Work and Social Computing, Conference paper (text), Jersey City, US Dilisha Patel , Ann Blandford , J Stephenson So you're planning a baby?: a review of preconception care apps 2018 MobileHCI '18, Conference paper (text), Barcelona J Gibbs, S Clifton, P Sonnenberg, Ann Blandford , A Johnson, C Estcourt Legislation and regulation in the era of online sexual health: how do we ensure provision of safe, high-quality care? 2018 Sexually Transmitted Infections, Journal article O Perski, D Baretta, Ann Blandford , R West, S Michie Engagement features judged by excessive drinkers as most important to include in smartphone applications for alcohol reduction: A mixed-methods study 2018 Digital Health, Journal article Simon Li , Anna Cox , C Or, Ann Blandford Effects of monetary reward and punishment on information checking behaviour: An eye-tracking study 2018 Applied Ergonomics, Journal article D Alsaeed, Dominic Furniss , Ann Blandford , F Smith, M Orlu Carers experiences of home enteral feeding: a survey exploring medicines administration challenges and strategies 2018 Journal of Clinical Pharmacy and Therapeutics, Journal article Ann Blandford , JL Gibbs, Nicola Newhouse , O Perski, Aneesha Singh , E Murray Seven Lessons for interdisciplinary research on interactive digital health 2018 Seven lessons for interdisciplinary research on interactive digital health interventions, Journal article Mark Warner , Ann Blandford Do I Really Have To Publicly Disclose My HIV Status? 2018 Computer Human Interaction, Conference abstract/presentation slides, Montreal Imogen Lyons , Dominic Furniss , Ann Blandford , G Chumbley, I Iacovides, L Wei, Anna Cox , Anna Cox , A Mayer, Jolien Vos Errors and discrepancies in the administration of intravenous infusions: a mixed methods multihospital observational study 2018 BMJ Quality and Safety, Journal article J Gibbs, Aneesha Singh , C Estcourt, P Sonnenberg, Ann Blandford How do people experience negotiating HIV-related online and remote testing resources? 2018 Conference abstract/presentation slides Imogen Lyons , Ann Blandford Safer healthcare at home: Detecting, correcting and learning from incidents involving infusion devices 2018 Applied Ergonomics, Journal article E Greifeneder, Sheila Pontis , Ann Blandford , H Attalla, D Neal, K Schlebbe Researchers attitudes towards the use of social networking sites 2018 Journal of Documentation, Journal article Dominic Furniss , Paul Curzon , Ann Blandford Exploring organisational competences in Human Factors and UX project work: Managing careers, project tactics and organisational strategy. 2017 Ergonomics, Journal article Chris Vincent , Ann Blandford Bags, batteries and boxes: A qualitative interview study to understand how syringe drivers are adapted and used by healthcare staff 2017 Applied Ergonomics, Journal article KM Cresswell, Ann Blandford , A Sheikh Drawing on human factors engineering to evaluate the effectiveness of health information technology 2017 Journal of the Royal Society of Medicine, Journal article Aneesha Singh , J Gibbs, P Sonnenberg, C Estcourt, Ann Blandford Are HIV Smartphone Apps and Online Interventions Fit for Purpose? 2017 7th International ACM Digital Health Conference, Conference paper (text), London Aneesha Singh , Nicola Newhouse , J Gibbs, Ann Blandford , Y Chen, P Briggs, H Mentis, K Sellen, J Bardram HCI and Health: Learning from Interdisciplinary Interactions. 2017 CHI 2017, Conference paper (text), Denver J Bailey, A Gubijev, L Walton, Ann Blandford , P D-Souza, S Oliver, G Rait, J Stephenson THE CONTRACEPTION CHOICES INTERACTIVE DECISION-AID: DEVELOPMENT, CONTENT AND DESIGN 2017 Conference abstract/presentation slides Duncan Brumby , Ann Blandford , Anna Cox , Sandy Gould , Paul Marshall Understanding people: A course on qualitative and quantitative HCI research methods 2017 Conference on Human Factors in Computing Systems - Proceedings, Conference paper (text) Nicola Newhouse , Ann Blandford Becoming Mother: Designing Online Resources That Support And Empower 2017 CHI'17 Workshop paper, Conference abstract/presentation slides, Denver, Colorado N Kodagoda, Sheila Pontis , D Simmie, S Attfield, BLW Wong, Ann Blandford , C Hankin Using Machine Learning to Infer Reasoning Provenance from User Interaction Log Data 2017 Journal of Cognitive Engineering and Decision Making, Journal article O Perski, Ann Blandford , H Ubhi, R West, S Michie Smokers and drinkers choice of smartphone applications and expectations of engagement: a think aloud and interview study 2017 BMC Medical Informatics and Decision Making, Journal article O Perski, Ann Blandford , R West, S Michie Conceptualising engagement with digital behaviour change interventions: a systematic review using principles from critical interpretive synthesis 2016 Translational Behavioral Medicine, Journal article J Laurie, Ann Blandford Making time for mindfulness 2016 INTERNATIONAL JOURNAL OF MEDICAL INFORMATICS, Journal article Katarzyna Stawarz , MD Rodriguez, Anna Cox , Ann Blandford Understanding the use of contextual cues: Design implications for medication adherence technologies that support remembering 2016 Digital Health, Journal article L Yardley, BJ Spring, H Riper, LG Morrison, DH Crane, K Curtis, GC Merchant, F Naughton, Ann Blandford Understanding and Promoting Effective Engagement With Digital Behavior Change Interventions 2016 AMERICAN JOURNAL OF PREVENTIVE MEDICINE, Journal article I Iacovides, Ann Blandford , Anna Cox , Jonathan Back How external and internal resources influence user action: the case of infusion devices 2016 Cognition, Technology and Work, Journal article Chris Vincent , Ann Blandford How do health service professionals consider human factors when purchasing interactive medical devices? A qualitative interview study 2016 Applied Ergonomics, Journal article AA OKane, SY Park, H Mentis, Ann Blandford , Y Chen Turning to Peers: Integrating Understanding of the Self, the Condition, and Others Experiences in Making Sense of Complex Chronic Conditions 2016 Computer Supported Cooperative Work (CSCW), Journal article Dominic Furniss , I Iacovides, Imogen Lyons , Ann Blandford , BD Franklin Patient and public involvement in patient safety research: a workshop to review patient information, minimise psychological risk and inform research 2016 Research Involvement and Engagement, Journal article E Temir, Aisling Ann O'Kane , Paul Marshall , Ann Blandford Running: A Flexible Situated Study 2016 CHI'16 CHI Conference on Human Factors in Computing Systems, Conference paper (text), San Jose, USA Dominic Furniss , Paul Curzon , Ann Blandford Using FRAM beyond safety: A case study to explore how sociotechnical systems can flourish or stall 2016 Theoretical Issues in Ergonomics Science, Journal article Nicola Newhouse , Ann Blandford My Facebook is a bit of a multiple personality at the minute: Social Media and the Transition to New Motherhood 2016 NordiCHI'17 Workshop paper, Conference abstract/presentation slides, Gothenburg, Sweden Duncan Brumby , Ann Blandford , Anna Cox , Sandy Gould , Paul Marshall Research Methods for HCI: Understanding People Using Interactive Technologies 2016 Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems, Journal article, New York, USA Ann Blandford , Dominic Furniss , S Makri Qualitative HCI Research: Going Behind the Scenes 2016 Synthesis Lectures on Human-Centered Informatics, Journal article Ann Blandford , Dominic Furniss , Imogen Lyons , G Chumbley, I Iacovides, L Wei, Anna Cox , A Mayer, K Schnock, DW Bates Exploring the Current Landscape of Intravenous Infusion Practices and Errors (ECLIPSE): protocol for a mixed-methods observational study 2016 BMJ Open, Journal article Simon Li , Anna Cox , C Or, Ann Blandford Effects of monetary reward and punishment on information checking behaviour 2016 APPLIED ERGONOMICS, Journal article Duncan Brumby , Ann Blandford , Anna Cox , Sandy Gould , Paul Marshall Research Methods for HCI: Understanding People Using Interactive Technologies. 2016 CHI Extended Abstracts, Conference proceeding Paul Curzon , Ann Blandford , Harold Thimbleby , Anna Cox Safer interactive medical device design: Insights from the CHI+MED Project 2015 MOBIHEALTH 2015 - 5th EAI International Conference on Wireless Mobile Communication and Healthcare - Transforming Healthcare through Innovations in Mobile and Wireless Technologies, Conference paper (text) Ann Blandford , E Berndt, K Catchpole, Dominic Furniss , A Mayer, H Mentis, Kane AA O, T Owen, A Rajkomar, R Randell Strategies for conducting situated studies of technology use in hospitals 2015 COGNITION TECHNOLOGY & WORK, Journal article Sheila Pontis , Ann Blandford , E Greifeneder, H Attalla, D Neal Keeping up to date: An academic researcher's information journey 2015 Journal of the Association for Information Science and Technology, Journal article Ann Blandford , K Farrington, A Mayer, D Walker, A Rajkomar Coping strategies when self-managing care on home haemodialysis 2015 Journal of Renal Nursing, Journal article E Berndt, Dominic Furniss , Ann Blandford Learning Contextual Inquiry and Distributed Cognition: a case study on technology use in anaesthesia 2015 COGNITION TECHNOLOGY & WORK, Journal article P Masci, Paul Curzon , Dominic Furniss , Ann Blandford Using PVS to support the analysis of distributed cognition systems 2015 Innovations in Systems and Software Engineering, Journal article Sheila Pontis , Ann Blandford Understanding influence: An empirical test of the Data-Frame theory of Sensemaking 2015 Journal of the American Society for Information Science and Technology, Journal article Sheila Pontis , G Kefalidou, Ann Blandford , J Forth, S Makri, S Sharples, G Wiggins, M Woods Academics responses to encountered information: context matters 2015 Journal of the American Society for Information Science and Technology, Journal article Katarzyna Stawarz , Anna Cox , Ann Blandford Beyond Self-Tracking and Reminders: Designing Smartphone Apps That Support Habit Formation 2015 CHI2015, Conference paper (text), Seoul, South Korea Dominic Furniss , P Masci, Paul Curzon , A Mayer, Ann Blandford Exploring medical device design and use through layers of distributed cognition: how a glucometer is coupled with its context. 2015 JOURNAL OF BIOMEDICAL INFORMATICS, Journal article Aisling Ann O'Kane , Yvonne Rogers , Ann Blandford Concealing or Revealing Mobile Medical Devices?: Designing for Onstage and Offstage Presentation 2015 ACM, Conference paper (text) Dominic Furniss , R Randell, S Taneva, H Mentis, D Wolstenholme, A Dearden, Aisling Ann O'Kane , Ann Blandford Ethics, Governance, and Patient, Public Involvement in Healthcare 2015 Chapter H Mentis, S Taneva, Ann Blandford , Dominic Furniss , R Ratwani, R Randell, A Chagpar Impact of Fieldwork in Healthcare: Understanding Impact on Researchers, Research, Practice and Beyond 2015 Chapter I Iacovides, Ann Blandford , Anna Cox , BD Franklin, P Lee, Chris Vincent Infusion device standardisation and dose error reduction software 2015 British Journal of Health Care Management, Journal article Chris Vincent , Ann Blandford Usability standards meet scenario-based design: challenges and opportunities 2015 Journal of Biomedical Informatics, Journal article A Rajkomar, K Farrington, A Mayer, D Walker, Ann Blandford Patients' and carers' experiences of interacting with home haemodialysis technology: implications for quality and safety 2014 BMC NEPHROLOGY, Journal article S Makri, Ann Blandford , M Woods, S Sharples, D Maxwell Making my own luck: Serendipity strategies and how to support them in digital information environments 2014 JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY, Journal article Dominic Furniss , Ann Blandford , P Masci, Paul Curzon , A Mayer 7 Themes for guiding situated ergonomic assessments of medical devices: A case study of an inpatient glucometer 2014 APPLIED ERGONOMICS, Journal article Ann Blandford , J Back,, A Cox,, D Furniss,, J Iacovides,, Chris Vincent Closing the Virtuous Circle: Making the Nuances of Infusion Pump Use Visible 2014 HFES 2014 International Symposium on Human Factors and Ergonomics in Health Care, Conference paper (text), Chicago R Rukenas, Paul Curzon , Ann Blandford , Jonathan Back Combining human error verification and timing analysis: a case study on an infusion pump 2014 FORMAL ASPECTS OF COMPUTING, Journal article A Rajkomar, Ann Blandford , A Mayer Coping with complexity in home hemodialysis: a fresh perspective on time as a medium of Distributed Cognition 2014 COGNITION TECHNOLOGY & WORK, Journal article Dominic Furniss , I Iacovides, Charlene Jennett , Sandy Gould , Anna Cox , Ann Blandford How to run an Errordiary workshop: Exploring errors and resilience strategies with patients, professionals and the public 2014 Third Resilience Health Care Net Meeting, Conference paper (text), Hindsgavl Castle, Denmark I Iacovides, Ann Blandford , Anna Cox , BD Franklin, P Lee, Chris Vincent Infusion device standardisation and dose error reduction software 2014 British Journal of Nursing, Journal article Dominic Furniss , Ann Blandford , A Mayer The Wrong Trousers: Misattributing medical device issues to the wrong part of the sociotechnical system 2014 Conference paper (text), CHI 2014 workshop: HCI Research in Healthcare: Using Theory from Evidence to Practice Katarzyna Stawarz , Anna Cox , Ann Blandford Personalized routine support for tackling medication non-adherence 2014 CHI'14 Workshop: Personalised Behaviour Change Technologies, Conference paper (text), Toronto, Canada AMM Eveleigh, Charlene Jennett , Ann Blandford , P Brohan, Anna Cox Designing for Dabblers and Deterring Drop-Outs in Citizen Science 2014 CHI 2014, Conference paper (text), New York, NY, USA Katarzyna Stawarz , Anna Cox , Ann Blandford Don't Forget Your Pill! Designing Effective Medication Reminder Apps That Support Users' Daily Routines 2014 CHI2014, Conference paper (text), Toronto, Canada Dominic Furniss , N Barber, Imogen Lyons , L Eliasson, Ann Blandford Unintentional non-Adherence: Can a spoon full of resilience help the medicine go down? 2014 BMJ QUALITY & SAFETY, Journal article R Rukenas, Paul Curzon , Ann Blandford , Jonathan Back Combining human error verification and timing analysis: A case study on an infusion pump 2014 Formal Aspects of Computing, Journal article Ann Blandford , Faisal, Attfield Conceptual design for sensemaking 2014 Chapter A Hsu, Ann Blandford Designing for Psychological Change: Individuals Reward and Cost Valuations in Weight Management 2014 Journal of Medical Internet Research, Journal article A Rajkomar, Ann Blandford , A Mayer Coping with complexity in home hemodialysis: A fresh perspective on time as a medium of Distributed Cognition 2014 Cognition, Technology and Work, Journal article Aisling Ann O'Kane , Yvonne Rogers , Ann Blandford Gaining empathy for non-routine mobile device use hrough autoethnography 2014 Conference on Human Factors in Computing Systems - Proceedings, Conference paper (text) Chris Vincent , Y Li, Ann Blandford Integration of human factors and ergonomics during medical device design and development: It's all about communication 2014 Applied Ergonomics, Journal article A Hsu, J Yang, Y Yilmaz, MS Haque, C Can, Ann Blandford Persuasive technology for overcoming food cravings and improving snack choices 2014 Conference on Human Factors in Computing Systems - Proceedings, Journal article Chris Vincent , Ann Blandford The challenges of delivering validated personas for medical equipment design 2014 Applied Ergonomics, Journal article K Sellen, S Taneva, Dominic Furniss , Aisling Ann O'Kane , Y Chen, Ann Blandford Workshop abstract: HCI research in healthcare: Using theory from evidence to practice 2014 Conference on Human Factors in Computing Systems - Proceedings, Conference paper (text) A Diriye, Ann Blandford , A Tombros, P Vakkari The role of search interface features during information seeking 2013 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Journal article P Noble, Ann Blandford You can't touch this: Potential perils of patient interaction with clinical medical devices 2013 HUMAN-COMPUTER INTERACTION - INTERACT 2013, PT II, Journal article MGA Ament, Anna Cox , Ann Blandford , Duncan Brumby Making a task difficult: Evidence that device-oriented steps are effortful and error-prone 2013 JOURNAL OF EXPERIMENTAL PSYCHOLOGY-APPLIED, Journal article Sarah Faisal , Ann Blandford , HWW Potts Making sense of personal health information: challenges for information visualization. 2013 HEALTH INFORMATICS JOURNAL, Journal article I Iacovides, Anna Cox , Ann Blandford Supporting learning within the workplace: Device training in healthcare. 2013 Cognitive Ergonomics 2013, Conference paper (text), Toulouse, France Ann Blandford , S Ruecker, G Rockwell, D Sondheim, Blandford, al et The Beginning, the Middle, and the End: New Tools for the Scholarly Edition 2013 Scholarly and Research Communication, Journal article Ann Blandford Engineering works: What is (and is not) "engineering" for interactive computer systems? 2013 EICS 2013 - Proceedings of the ACM SIGCHI Symposium on Engineering Interactive Computing Systems, Journal article Ann Blandford Interactions "in the wild": Explorations in healthcare 2013 CONTEMPORARY ERGONOMICS AND HUMAN FACTORS 2013, Journal article Jonathan Back , I Iacovides, Dominic Furniss , Chris Vincent , Anna Cox , Ann Blandford Designing Better Prescription Charts: Why we cant just ask the nurses. 2013 Conference paper (text), CHI 2013 Workshop: Safer Interaction in Medical Devices (CHI+MED) Dominic Furniss , Ann Blandford , BE John Engineering: upfront effort, downstream pay-back. 2013 CHI Extended Abstracts, Conference paper (text) Dominic Furniss , Aisling Ann O'Kane , R Randell, S Taneva, H Mentis, Ann Blandford HCI fieldwork in healthcare: creating a graduate guidebook 2013 CHI'13 Extended Abstracts on Human Factors in Computing Systems, Conference paper (text) P Masci, Paul Curzon , Dominic Furniss , Ann Blandford Using PVS to support the analysis of distributed cognition systems 2013 Innovations in Systems and Software Engineering, Journal article Dominic Furniss , Jonathan Back , Ann Blandford Cognitive resilience: can we use Twitter to make strategies more tangible? 2012 ECCE, Conference paper (text) L Dantonio, S Makri, Ann Blandford Coming across academic social media content serendipitously 2012 Proceedings of the ASIST Annual Meeting, Journal article M Paolucci, D Kossman, R Conte, P Lukowicz, P Argyrakis, Ann Blandford , G Bonelli, S Anderson, SD Freitas, B Edmonds Towards a living earth simulator 2012 EUROPEAN PHYSICAL JOURNAL-SPECIAL TOPICS, Journal article A Rajkomar, Ann Blandford A distributed cognition model for analysing interruption resumption during infusion administration 2012 European Conference on Cognitive Ergonomics, Conference paper (text), Edinburgh, UK Ann Blandford , S Brown, T Dobson, Sarah Faisal , C Fiorentino, L Frizzera, A Giacometti, B Heller, M Ilovan, P Michura Designing Interactive Reading Environments for the Online Scholarly Edition 2012 Digital Humanities 2012, Conference paper (text), University of Hamburg, Germany A Rajkomar, Ann Blandford Understanding Infusion Administration in the ICU through Distributed Cognition 2012 Journal of Biomedical Informatics, Journal article A Diriye, Ann Blandford , A Tombros A Little Interaction Can Go A Long Way: Enriching the Query Reformulation Process 2012 European Conference on Information Retrieval, Conference paper (text) S Makri, Ann Blandford Coming across information serendipitously - Part 1: A process model 2012 Journal of Documentation, Journal article S Makri, Ann Blandford Coming across information serendipitously: Part 2 - A classification framework 2012 Journal of Documentation, Journal article SZ Ibrahim, Ann Blandford , N Bianchi-Berthouze, IEEE Privacy Settings on Facebook: Their Roles and Importance 2012 2012 IEEE INTERNATIONAL CONFERENCE ON GREEN COMPUTING AND COMMUNICATIONS, CONFERENCE ON INTERNET OF THINGS, AND CONFERENCE ON CYBER, PHYSICAL AND SOCIAL COMPUTING (GREENCOM 2012), Conference paper (text) Chris Vincent , Ann Blandford , Y Li QOC-E: A mediating representation to support the development of shared rationale and integration of Human Factors advice 2012 Proceedings of the 2012 Symposium on Human Factors and Ergonomics in Health Care: March 12-14, 2012 Baltimore, Maryland USA, Conference paper (text), Santa Monica, US P Masci, Dominic Furniss , Paul Curzon , MD Harrison, Ann Blandford Supporting field investigators with PVS: A case study in the healthcare domain 2012 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Journal article Sandy Gould , Anna Cox , Ann Blandford Using wikis to encourage collaborative writing and learning 2012 Conference paper (text), CHI 2012 Workshop: A Contextualised Curriculum for HCI Chris Vincent , Ann Blandford Designing for safety and usability: user-centered techniques in medical device design practice 2011 Proceedings of the Human Factors and Ergonomics Society Annual Meeting, Journal article S Makri, EG Toms, L McCay-Peet, Ann Blandford Proceedings of the 1st International Workshop on Encouraging Serendipity in Interactive Systems 2011 Scholarly edition S Makri, Ann Blandford What is Serendipity? - A Workshop Report 2011 Report A Rajkomar, Ann Blandford Distributed Cognition for evaluating healthcare technology 2011 BCS HCI, Conference paper (text) Dominic Furniss , Jonathan Back , Ann Blandford , M Hildebrandt, H Broberg A Resilience Markers Framework for Small Teams 2011 Reliability Engineering & System Safety, Journal article George Buchanan , Jonathan Back , Dominic Furniss , Ann Blandford Attention: Can appropriation be linked to an individual's resilience? Proc. Workshop on Appropriation and Creative Use 2011 CHI Workshop on Appropriation and Creative Use, Conference paper (text) H Huang, R Ruk?nas, MGA Ament, Paul Curzon , Anna Cox , Ann Blandford , Duncan Brumby Capturing the distinction between task and device errors in a formal model of user behaviour 2011 FMIS 2011: Formal Methods for Interactive Systems, Journal article Ann Blandford , Furniss, Rajkomar, E al Comparing actual practice and user manuals: A case study based on programmable infusion pumps 2011 EICS4Med, Conference paper (text), Pisa Dominic Furniss , Ann Blandford , Paul Curzon Confessions from a grounded theory PhD: Experiences and lesson learnt 2011 Conference on Human Factors in Computing Systems - Proceedings, Conference paper (text) Dominic Furniss , Ann Blandford , A Mayer Considering Unremarkable Computing for Healthcare 2011 Workshop on Interactive Systems in Healthcare (WISH), Workshop at AMIA 2011 Annual Symposium, Conference paper (text) S Attfield, Ann Blandford Conceptual Misfits in Email-based Current Awareness Interaction 2011 Journal of Documentation, Journal article Y Li, P Oladimeji, C Monroy, A Cauchi, Harold Thimbleby , Dominic Furniss , Chris Vincent , Ann Blandford Design of Interactive Medical Devices: Feedback and Its Improvement 2011 ITME 2011 - Proceedings: 2011 IEEE International Symposium on IT in Medicine and Education, Conference paper (text), Piscataway, UC S Makri, EG Toms, L McCay-Peet, Ann Blandford Encouraging Serendipity in Interactive Systems. 2011 INTERACT (4), Conference paper (text) Ann Blandford , Pietro G de, L Gallo, A Gimblett, P Oladimeji, Harold Thimbleby Engineering interactive computer systems for medicine and healthcare (EICS4Med) Workshop 2011 EICS, Conference paper (text), Pisa S Makri, Ann Blandford , Anna Cox , S Attfield, C Warwick Evaluating the Information Behaviour methods: Formative evaluations of two methods for assessing the functionality and usability of electronic information resources 2011 International Journal of Human-Computer Studies, Journal article Chris Vincent , Ann Blandford Maintaining the Standard: Challenges in Adopting Best Practice when Designing Medical Devices and Systems 2011 Workshop on Interactive Systems in Healthcare (WISH), Workshop at AMIA 2011 Annual Symposium, Conference paper (text) P Masci, Paul Curzon , Ann Blandford , Dominic Furniss Modelling distributed cognition systems in PVS 2011 Fourth International Workshop on Formal Method for Interactive Systems (FMIS), Conference paper (text) S Attfield, Ann Blandford Making sense of digital footprints in team-based legal investigations: the acquisition of focus 2011 HumanComputer Interaction, Journal article P Masci, Paul Curzon , H Huang, Rimvydas Ruksenas , Ann Blandford , Dominic Furniss , A Rajkomar Towards a Formal Framework for Reasoning about the Resilience of Dynamic Interactive Systems 2011 13th European Workshop on Dependable Computing, Conference paper (text) Dominic Furniss , Ann Blandford , A Rajkomar, Chris Vincent , A Mayer The visible and the invisible: Distributed Cognition for medical devices 2011 EICS4Med 2011: Proceedings of the 1st International Workshop on Engineering Interactive Computing Systems for Medicine and Health Care: Pisa, Italy: June, 2011, Conference paper (text) Dominic Furniss , Jonathan Back , Ann Blandford Unwritten rules for safety and performance in an oncology daycare unit: testing the Resilience Markers Framework 2011 Fourth Symposium on Resilience Engineering, Conference paper (text) Dominic Furniss , Ann Blandford , A Mayer Unremarkable errors: Low-level disturbances in infusion pump use 2011 Proceedings of the 25th British Computer Society Conference on Human-Computer Interaction, BCS-HCI 2011, Newcastle Upon Tyne, United Kingdom, 4-8 July 2011, Conference paper (text), Swindon, UK Ann Blandford When I get older: Interaction design for medical devices 2011 Report Ann Blandford , J Gulliksen, ET Hvannberg, MK Larusdottir NordiCHI 2010: Extending Boundaries - Proceedings of the 6th Nordic Conference on Human-Computer Interaction: Preface 2010 NordiCHI 2010: Extending Boundaries - Proceedings of the 6th Nordic Conference on Human-Computer Interaction, Journal article S Attfield, Ann Blandford Discovery-led refinement in e-discovery investigations: sensemaking, cognitive ergonomics and system design. 2010 Artificial Intelligence and Law, Journal article S Makri, Ann Blandford , Anna Cox This is what Im doing and why: Methodological reflections on a naturalistic think-aloud study of interactive information behaviour 2010 Information Processing and Management, Journal article K Hiltz, Jonathan Back , Ann Blandford The roles of conceptual device models and user goals in avoiding device initialization errors 2010 Interacting with Computers, Journal article S Sulaiman, Ann Blandford , Paul Cairns Haptic Experience and the Design of Drawing Interfaces 2010 Interacting with Computers, Journal article Ann Blandford Bringing users' conceptual models into design: an introduction to CASSM analysis. 2010 EICS, Conference paper (text) Dominic Furniss , Ann Blandford DiCoT Modeling: From Analysis to Design 2010 CHI 2010 workshop: Contextual Analysis and Design, Conference paper (text), Atlanta, US A Diriye, Ann Blandford , A Tombros Exploring the Impact of Search Interface Features on Search Tasks 2010 ECDL, Conference paper (text) Alistair Sutcliffe , Ann Blandford Guest Editors' Introduction 2010 Interacting with Computers, Journal article Ann Blandford , S Attfield Interacting with Information 2010 Book Ann Blandford Proceedings of the 6th Nordic Conference on Human-Computer Interaction: Extending Boundaries 2010 NordiCHI 2010, Conference paper (text), Reykjavik Dominic Furniss , Jonathan Back , Ann Blandford Resilience in Emergency Medical Dispatch: Big R and little r 2010 Workshop on Interactive Systems in Healthcare (with CHI2010), Conference paper (text), Atlanta, US A Diriye, M Wilson, Ann Blandford , A Tombros Revisiting exploratory search from the HCI perspective 2010 HCIR Workshop, Conference paper (text) S Attfield, Ann Blandford , S Makri Social and Interactional Practices for Disseminating Current Awareness Information in an Organisational Setting 2010 Information Processing and Management, Journal article Alistair Sutcliffe , Ann Blandford Special Issue: Festschrift for John Long Introduction 2010 INTERACTING WITH COMPUTERS, Journal article S Makri, Ann Blandford , Anna Cox This is what Im doing and why: Reflections on a think-aloud study of digital library users information behaviour 2010 JCDL'10, Conference paper (text), New York, US A Diriye, Ann Blandford , A Tombros When is system support effective? 2010 IIIx, Conference paper (text) Ann Blandford , George Buchanan , Paul Curzon , Dominic Furniss , Harold Thimbleby Whos looking? Invisible problems with interactive medical devices 2010 Proceedings of the First International Workshop on Interactive Systems in Healthcare, Conference paper (text), US MGA Ament, Anna Cox , Ann Blandford , Duncan Brumby Working memory load affects device-specific but not task-specific error rates 2010 CogSci 2010: Proceedings of the Annual Conference of the Cognitive Science Society, Journal article Sarah Faisal , S Attfield, Ann Blandford A Classification of Sensemaking Representations 2009 CHI'09 Sensemaking workshop, Conference paper (text), Boston, USA A Diriye, Ann Blandford , A Tombros A polyrepresentational approach to interactive query expansion 2009 JCDL09: Proceedings of the 9th ACM/IEEE-CS Joint Conference on Digital Libraries 2009, Austin, TX, USA, June 15-19, 2009, Conference paper (text), New York, US ST Hassard, Ann Blandford , Anna Cox Analogies in design decision-making 2009 BCS-HCI'09, Conference paper (text), New York, US C Warwick, J Rimmer, Ann Blandford , J Gow, George Buchanan Cognitive economy and satisficing in information seeking: A longitudinal study of undergraduate information behaviour 2009 Journal of the American Society for Information Science and Technology, Journal article MA Ament, Ann Blandford , Anna Cox Different Cognitive Mechanisms Account for Different Types of Procedural Steps 2009 CogSci'09, Conference paper (text) M Ament, Ann Blandford , Anna Cox Different Cognitive Mechanisms Account for Different Types of Procedural Steps 2009 Cognitive Science, Conference paper (text) C Warwick, I Galina, J Rimmer, M Terras, Ann Blandford , J Gow, George Buchanan Documentation and the users of digital resources in the humanities 2009 Journal of Documentation, Journal article D Nichols, G Paynter, C-H Chan, D Bainbridge, D McKay, M Twidale, Ann Blandford Experiences in Deploying Metadata Analysis Tools for Institutional Repositories 2009 Cataloging and Classification Quarterly, Journal article Jonathan Back , Dominic Furniss , S Attfield, S Hassard, Ann Blandford Exploring the Importance of Reflection in the Control Room 2009 CHI2009 Workshop on Designing for Reflection on Experience, Conference paper (text) S Attfield, Ann Blandford Improving the Cost Structure of Sensemaking Tasks: Analysing User Concepts to Inform Information System Design 2009 Human-Computer Interaction - INTERACT 2009: 12th IFIP TC 13 International Conference, Uppsala, Sweden, August 24-28, 2009, Proceedings, Part I, Conference paper (text), Berlin/Heidelberg, Germany P Smith, Ann Blandford , Jonathan Back Questioning, exploring, narrating and playing in the control room to maintain system safety. 2009 Cognition, Technology and Work, Journal article J Kollmann, H Sharp, Ann Blandford The importance of Identity and Vision to user experience designers on agile projects 2009 Agile 2009, Conference paper (text) S Attfield, S deGabrielle, Ann Blandford The loneliness of the long-distance document reviewer: E-discovery and Cognitive Ergonomics 2009 DESI, Conference paper (text) Ann Blandford , D Bainbridge The pushmepullyou of design and evaluation 2009 Chapter Ann Blandford , A Adams, Dominic Furniss Understanding the Situated Use of Healthcare Technologies 2009 CHI workshop 'Evaluating new interactions in healthcare', Conference paper (text) Rimvydas Ruksenas , Jonathan Back , Paul Curzon , Ann Blandford Verification-Guided Modelling of Salience and Cognitive Load 2009 Formal Aspects of Computing, Journal article Paul Curzon , Rimvydas Ruksenas , Jonathan Back , Ann Blandford Verifying systems to reduce human error 2009 TTVSI (Tools and Techniques for Verification of System Infrastructure), Conference paper (text) S Makri, Ann Blandford , Anna Cox Using Information Behaviors to Evaluate the Functionality and Usability of Electronic Resources: From Ellis's Model to Evaluation 2008 Journal for the American Society of Information Science and Technology, Journal article Ann Blandford , TRG Green, Dominic Furniss , S Makri Evaluating system utility and conceptual fit using CASSM 2008 INT J HUM-COMPUT ST, Journal article Rimvydas Ruksenas , Jonathan Back , Paul Curzon , Ann Blandford Formal Modelling of Salience and Cognitive Load 2008 Proceedings of the 2nd International Workshop on Formal Methods for Interactive Systems (FMIS 2007), Journal article, Amsterdam, The Netherlands J Gow, Ann Blandford , SJ Cunningham Special issue on digital libraries in the context of users' broader activities 2008 INFORMATION PROCESSING & MANAGEMENT, Journal article Ann Blandford , A Adams Adoption, adaptation, surface compliance and obstruction: responses to new technologies in healthcare 2008 HCI4Med Workshop at HCI 2008, Conference paper (text) J Rimmer, C Warwick, Ann Blandford , J Gow, George Buchanan An examination of the physical and digital qualities of humanities research 2008 Information Processing and Management, Journal article EH Calvillo-Gmez, Paul Cairns , Ann Blandford Assessing the Gaming Experience using Puppetry 2008 Evaluating User Experience workshop at ACM CHI 2008, Conference paper (text) Rimvydas Ruksenas , Paul Curzon , Ann Blandford , Jonathan Back Combining human error verification and timing analysis 2008 Engineering Interactive Systems: EIS 2007 Joint Working Conferences, EHCI 2007, DSV-IS 2007, HCSE 2007, Salamanca, Spain, March 22-24, 2007, Selected Papers, Conference paper (text), Berlin, Germany Ann Blandford , Anna Cox , Paul Cairns Controlled Experiments 2008 Chapter S Attfield, Ann Blandford E-disclosure Viewed as Sensemaking with Computers: The Challenge of Frames 2008 Digital Evidence and Electronic Signature Law Review, Journal article H Stelmaszewska, B Fields, Ann Blandford Emotion and Technology: an Empirical Study 2008 Emotion in HCI: Joint Proceedings of the 2005, 2006, and 2007 International Workshops, Conference paper (text), Stuttgart, Germany Ann Blandford , JK Hyde, Paul Curzon , G Paptzanis EMU in the car: evaluating multimodal usability of a satellite navigation system 2008 Interactive Systems Design Specification and Verification: 15th International Workshop, DSV-IS 2008 Kingston, Canada, July 16-18, 2008 Revised Papers, Conference paper (text), Berlin/Heidelberg, Germany G Papatzanis, Paul Curzon , Ann Blandford Identifying Phenotypes and Genotypes: A Case Study: Evaluating an In-Car Navigation System 2008 Engineering Interactive Systems: EIS 2007 Joint Working Conferences, EHCI 2007, DSV-IS 2007, HCSE 2007, Salamanca, Spain, March 22-24, 2007: Selected Papers, Conference paper (text), Berlin/Heidelberg, Germany S Attfield, S Fegan, Ann Blandford Idea Generation and Material Consolidation: Tool Use and Intermediate Artefacts in Journalistic Writing 2008 Cognition, Technology and Work, Journal article Sarah Faisal , B Craft, Paul Cairns , Ann Blandford Internalisation, qualitative methods and evaluation 2008 BELIV (Beyond time and errors: novel evaluation methods for information visualisation) Workshop at CHI08, Conference paper (text) S Makri, Ann Blandford , Anna Cox Investigating the information-seeking behaviour of academic lawyers: From Ellis's model to design. 2008 Information Processing and Management, Journal article S Attfield, Ann Blandford , Gabrielle D de Investigations within investigations: a recursive framework for scalable sensemaking support 2008 Sensemaking: Organizing Information to Understand the World (workshop), CHI 2008, Conference paper (text) Ann Blandford , TRG Green, I Connell, T Rose Knowledge Representation Environments: an Investigation of the CASSMs between Creators, Composers and Consumers 2008 EIS2007, Conference paper (text) Ann Blandford , TRG Green Methodological Development 2008 Chapter Rimvydas Ruksenas , Paul Curzon , Ann Blandford Modelling and Analysing Cognitive Causes of Security Breaches 2008 Innovations in Systems and Software Engineering, Journal article Rimvydas Ruksenas , Paul Curzon , Ann Blandford Modelling Rational User Behaviour as Games between an Angel and a Demon 2008 Proceedings: Sixth IEEE International Conference on Software Engineering and Formal Methods: SEFM 2008: 10-14 November 2008, Cape Town, South Africa, Conference paper (text), Los Alamitos, US S Attfield, S Makri, Ann Blandford , Gabrielle S de, J Kalbach, M Edwards Prioritisation, Resources and Search Terms: A Study of Decision-Making at the Virtual Reference Desk 2008 European Conference on Research and Advanced Technology for Digital Libraries (ECDL), Conference paper (text) Jonathan Back , Dominic Furniss , M Hildebrandt, Ann Blandford Resilience Markers for Safer Systems and Organisations 2008 Safecomp, Conference paper (text) Ann Blandford , J Hyde, T Green, I Connell Scoping Analytical Usability Evaluation Methods: A Case Study 2008 HumanComputer Interaction Journal, Journal article Simon Li , Ann Blandford , Paul Cairns , Richard Young The Effect of Interruptions on Post-Completion and Other Procedural Errors: An Account Based on the Activation-Based Goal Memory Model 2008 Journal of Experimental Psychology: Applied, Journal article H Stelmaszewska, B Fields, Ann Blandford The roles of time, place, value and relationships in collocated photo sharing with camera phones 2008 HCI 2008, Conference paper (text) S Attfield, Ann Blandford , J Dowell, Paul Cairns Uncertainty-tolerant design: Evaluating task performance and drag-and-link information gathering for a news writing task. 2008 International Journal of Human-Computer Studies, Journal article H Stelmaszewska, B Fields, Ann Blandford User experience of camera phones in social contexts 2008 Chapter Dominic Furniss , Ann Blandford , Paul Curzon Usability Work in Professional Website Design: Insights from Practitioners' Perspectives 2008 Chapter, London Dominic Furniss , Ann Blandford , Paul Curzon Usability evaluation methods in practice: Understanding the context in which they are embedded 2007 ACM International Conference Proceeding Series, Conference paper (text) Paul Curzon , nas R Ruk, Ann Blandford An approach to formal verification of human-computer interaction 2007 Formal Aspects of Computing, Journal article G Doherty, Ann Blandford Lecture Notes in Comuter Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes: Preface 2007 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Journal article T Uldall-Espersen, E Frkjr, Ann Blandford , T Jokela Increasing the impact of usability work in software development. 2007 CHI Extended Abstracts, Conference paper (text) Jonathan Back , Ann Blandford , Paul Curzon Recognising erroneous and exploratory interactions 2007 11th IFIP International Conference on Human-Computer Interaction, Conference paper (text), Rio de Janeiro, BRAZIL R Ruk?nas, Paul Curzon , Ann Blandford Detecting cognitive causes of confidentiality leaks 2007 Proceedings of the First International Workshop on Formal Methods for Interactive Systems (FMIS 2006), Conference paper (text), Amsterdam, The Netherlands Jonathan Back , Dominic Furniss , Ann Blandford Cognitive Resilience: Reflection-in-action and on-action 2007 Conference paper (text), Linkpings, Sweden Dominic Furniss , Ann Blandford , Paul Curzon Resilience in Usability Consultancy Practice: the case for a positive resonance model 2007 Conference paper (text), Linkpings, Sweden S Makri, Ann Blandford , Anna Cox Investigating the information-seeking behaviour of academic lawyers: From Ellis's model to digital law library design. 2007 Information Processing and Management, Journal article S Attfield, Ann Blandford Sensemaking in a large-scale corporate fraud investigation: Some problems of communication. 2007 Collaborative Sensemaking Workshop, The 24th Annual Human-Computer Interaction Lab (HCIL) Symposium, Conference abstract/presentation slides, University of Maryland, College Park, US HY Xiong, Paul Curzon , S Tahar, Ann Blandford Providing a formal linkage between MDG and HOL 2007 Formal Methods in System Design, Journal article Rimvydas Ruksenas , Paul Curzon , Ann Blandford , Jonathan Back Combining Human Error Verification and Timing Analysis 2007 Engineering Interactive Systems (EIS 2007) - Joint Working Conferences EHCI 2007, DSV-IS 2007, HCSE 2007, Conference paper (text), Salamanca, SPAIN S Makri, Ann Blandford , J Gow, J Rimmer, C Warwick, George Buchanan A library or just another information resource? A case study of users' mental models of traditional and digital libraries 2007 Journal for the American Society of Information Science and Technology, Journal article Sarah Faisal , Paul Cairns , Ann Blandford Building for users not for experts: designing a visualization of the literature domain 2007 11th International Conference Information Visualization, IV 2007, 4-6 July 2007, Zurich, Switzerland, Conference paper (text), Los Alamitos, US Sarah Faisal , Paul Cairns , Ann Blandford Challenges of evaluating the information visualisation experience. 2007 BCS HCI (2), Conference paper (text) Ann Blandford , J Gow, George Buchanan , J Rimmer, C Warwick Creators, Composers and Consumers: experiences of designing a digital library. 2007 INTERACT 2007, Conference paper (text), Berlin Rimvydas Ruksenas , Paul Curzon , Ann Blandford Detecting Cognitive Causes of Confidentiality Leaks 2007 FMIS 2007, Conference paper (text) Ann Blandford , J Gow, George Buchanan , C Warwick, J Rimmer Creators, composers and consumers: experiences of designing a digital library 2007 Chapter, Berlin / Heidelberg Jonathan Back , W Cheng, R Dann, Paul Curzon , Ann Blandford Does being motivated to avoid procedural errors influence their systematicity? 2007 Chapter, London Rimvydas Ruksenas , Paul Curzon , Jonathan Back , Ann Blandford Formal Modelling of Cognitive Interpretation 2007 Interactive Systems: Design, Specification, and Verification: 13th International Workshop, DSVIS 2006, Dublin, Ireland, July 26-28, 2006: Revised Papers, Conference paper (text), Heidelberg S Makri, Ann Blandford , Anna Cox Ill just Google it!: Should lawyers perceptions of Google inform the design of electronic legal resources? 2007 WISI 2007 Workshop: Web Information-Seeking and Interaction, Conference paper (text), Amsterdam, The Netherlands G Doherty, Ann Blandford Proc. DSVIS 2006 2007 Book, Berlin / Heidelberg Jonathan Back , Ann Blandford , Paul Curzon Recognising Erroneous and Exploratory Interactions 2007 Interact 2007, Conference paper (text) George Buchanan , J Gow, Ann Blandford , J Rimmer, C Warwick Representing aggregate works in the digital library. 2007 Joint Conference on Digital Libraries, Vancouver, Canada, June 18-23, 2007, Conference paper (text), New York, NY, USA Jonathan Back , Ann Blandford , Paul Curzon Slip errors and cue salience 2007 ECCE 2007, Conference paper (text) Ann Blandford , Rachel Benedyk , Nadia Berthouze , Anna Cox , J Dowell The Challenges of Creating Connections and Raising Awareness: Experience from UCLIC 2007 INTERACT 2007, Conference paper (text), USA Ann Blandford , S Keith, B Fields Claims analysis "in the wild": a case study on digital library development 2006 International Journal of Human-Computer Interaction, Journal article Dominic Furniss , Ann Blandford Understanding Emergency Medical Dispatch in terms of Distributed Cognition: a case study 2006 Ergonomics, Journal article Jonathan Back , Cheng W Lok, R Dann, Paul Curzon , Ann Blandford Does being motivated to avoid procedural errors influence their systematicity? 2006 20th Annual Conference of the British-HCI-Group, Conference paper (text), Queen Mary Univ London, London, ENGLAND Sarah Faisal , Paul Cairns , Ann Blandford Subjective Information Visualizations 2006 Workshop on Combining Visualization and Interaction to facilitate Scientific Exploration and discovery,British HCI Conference, Conference paper (text), London, UK Ann Blandford , J Gow Digital libraries in the context of users' broader activities 2006 D-Lib Magazine, Journal article TRG Green, Ann Blandford , L Church, CR Roast, S Clarke Cognitive dimensions: achievements, new directions, and open questions 2006 Journal of Visual Languages and Computing, Journal article Sarah Faisal , Paul Cairns , Ann Blandford Developing user requirements for visualizations of literature knowledge domains 2006 10th International Conference on Information Visualization (IV06), Conference paper (text), London, ENGLAND S Makri, Ann Blandford , Anna Cox A Study of Legal Information Seeking Behaviour to Inform the Design of Electronic Legal Research Tools 2006 Conference paper (text), UCL, London S Makri, Ann Blandford , Anna Cox Studying Lawyers Information Seeking Behaviour to Inform the Design of Digital Law Libraries 2006 International Workshop on Digital Libraries in the Context of Users' Broader Activities (DL-CUBA) JCDL 2006, Conference paper (text), Chapel Hill, NC, USA C Warwick, George Buchanan , J Rimmer, Ann Blandford , J Gow Code, comments and consistency, a case study of the problems of reuse of encoded texts 2006 Digital Humanities 2006, Conference paper (text) Ann Blandford , Dominic Furniss DiCoT: a methodology for applying Distributed Cognition to the design of team working systems 2006 Interactive Systems: Design, Specification, and Verification: 12th International Workshop, DSVIS 2005, Newcastle upon Tyne, UK, July 13-15, 2005: Revised Papers, Conference paper (text), Heidelberg, Germany Jonathan Back , WL Cheng, R Dann, Paul Curzon , Ann Blandford Does being motivated to avoid procedural errors influence their systematicity? 2006 People and Computers XX Engage: Proceedings of HCI 2006P, Conference paper (text), Berlin/Heidelberg, Germany Ann Blandford , J Rimmer, C Warwick Experiences of the library in the digital age. 2006 Third International Conference "Cultural Convergence and Digital Technology". Athens, November 2006., Conference paper (text) Simon Li , Anna Cox , Ann Blandford , Paul Cairns , Richard Young , A Abeles Further investigations into post-completion error: the effects of interruption position and duration 2006 CogSci 2006, Conference paper (text) J Rimmer, C Warwick, Ann Blandford , J Gow, George Buchanan Humanities Scholars' Information-seeking Behaviour and Use of Digital Resources 2006 Proceedings of the Digital Libraries in the Context of Users Broader Activities First International Workshop, DL-CUBA 2006 Chapel Hill, USA, June 15, 2006, Conference paper (text), London, UK Ann Blandford Interacting with information resources: designing libraries for learning 2006 International Journal of Learning Technologies, Journal article S Attfield, A Adams, Ann Blandford Patient information needs: pre and post consultation 2006 Health Informatics Journal, Journal article George Buchanan , J Gow, Ann Blandford , J Rimmer, C Warwick Representing aggregate works in the digital library 2006 Chapter, Heidelberg J Rimmer, C Warwick, Ann Blandford , J Gow, George Buchanan User Requirements for Humanities Digital Libraries. 2006 Digital Humanities 2006, Conference paper (text), Paris S Attfield, Ann Blandford , C Mottram, A Penn, gen Schieck A Fatah Exploring the effects of introducing real-time simulation on collaborative urban design in augmented reality 2005 Studying Designers '05, Conference paper (text), Sydney, Australia Sarah Faisal , Paul Cairns , Ann Blandford InfoViz Experience Enhancement Through Mediated Interaction 2005 Workshop on Multimodal Interaction for the Visualization and Exploration of Scientific Data, Conference paper (text), Trento, Italy Simon Li , Ann Blandford , Paul Cairns , Richard Young Post-completion errors in problem solving 2005 Proceedings of the 27th Annual Conference of the Cognitive Science Society, Conference paper (text), Austin, US A Adams, Ann Blandford Bridging the gap between organizational and user perspectives of security in the clinical domain 2005 International Journal of Human-Computer Studies, Journal article A Adams, Ann Blandford , S Attfield Implementing digital resources for clinicians and patients varying needs 2005 Medical Informatics and the Internet in Medicine, Journal article A Adams, Ann Blandford , P Lunt Social empowerment and exclusion: A case study on digital libraries 2005 ACM Transactions on Computer-Human Interaction (TOCHI), Journal article B Fields, S Keith, Ann Blandford Designing for Expert Information Finding Strategies 2005 People and Computers XVIII - Design for Life: Proceedings of HCI 2004, Conference paper (text), London, UK H Stelmaszewska, Ann Blandford , George Buchanan Designing to change users' information seeking behaviour: a case study 2005 Chapter A Adams, Ann Blandford Digital libraries support for the users Information Journey 2005 Proceedings of the 5th ACM/IEEE-CS joint conference on Digital libraries (JCDL 05), Conference paper (text), New York, US B Fields, S Keith, Ann Blandford Designing for expert information finding strategies 2005 Chapter, London Ann Blandford , TRG Green, I Connell Formalising an understanding of user-system misfits 2005 Chapter, Heidelberg George Buchanan , SJ Cunningham, Ann Blandford , J Rimmer, C Warwick Information Seeking by Humanities Scholars 2005 Conference paper (text), Berlin A Adams, Ann Blandford , D Budd, N Bailey Organisational Communication And Awareness: A Novel Solution 2005 Health Informatics Journal, Journal article S Minocha, L Dawson, Ann Blandford , N Millard Providing value to customers in e-commerce environments: the customers perspective 2005 Chapter L Fleet, Ann Blandford Requirements of Time Management Tools for Outpatient Physiotherapy Practice 2005 Health Informatics Journal, Journal article N Chozos, JG Sheridan, Mehmet, A Naghsh, KC Lee, Ann Blandford Supporting Values Other Than Usability and Performance Within the Design Process. 2005 DSV-IS, Conference paper (text) C Warwick, Ann Blandford , George Buchanan , Rimmer J J User Centred Interactive Search in the Humanities 2005 Proceedings of the Joint Conference on Digital Libraries Denver, Colorado, June 7-11, 2005, Conference paper (text), ACM Publications C Warwick, Ann Blandford , George Buchanan User Centred Interactive Search: a Study of Humanities Researchers in a Digital Library Environment 2005 ACH/ALLC, Conference paper (text) C Warwick, Ann Blandford , George Buchanan User Centred Interactive Search: a Study of Humanities Researchers in a Digital Library Environment. 2005 The Association for Computers and the Humanities-Association for Literary and Linguistic Computing, University of Victoria, Canada, June 15 - June 18 2005, Conference paper (text) George Buchanan , Ann Blandford , Harold Thimbleby , M Jones Integrating information seeking and structuring: Exploring the role of spatial hypertext in a digital library 2004 Proceedings of the ACM Conference on Hypertext, Journal article Ann Blandford , George Buchanan , M Jones Usability of digital libraries. 2004 International Journal on Digital Libraries, Journal article Ann Blandford , BLW Wong Situation awareness in emergency medical dispatch 2004 International Journal of Human-Computer Studies, Journal article H Stelmaszewska, B Fields, Ann Blandford Conceptualising user hedonic experience 2004 Proceedings of ECCE-12, the 12th European Conference on Cognitive Ergonomics 2004, Living and Working with Technology, Conference paper (text), York I Connell, Ann Blandford , T Green CASSM and cognitive walkthrough: usability issues with ticket vending machine 2004 Behaviour and Information Technology, Journal article Ann Blandford , I Connell, T Green Concept-based Analysis of Surface and Structural Misfits (CASSM) Tutorial notes. 2004 Working/Discussion Paper, London, UK Ann Blandford , R Butterworth, Paul Curzon Models of interactive systems: a case study on programmable user modelling 2004 International Journal of Human-Computer Studies, Journal article Ann Blandford , S Keith, I Connell, H Edwards Analytical usability evaluation for digital libraries: a case study 2004 Proceedings of the 4th ACM/IEEE-CS Joint Conference on Digital libraries 2004, Tuscon, AZ, USA, June 07-11, 2004, Conference paper (text), New York, US W Wong, Ann Blandford Describing Situation Awareness at an Emergency Medical Dispatch Centre 2004 Human Factors and Ergonomics Society Annual Meeting Proceedings, Cognitive Engineering and Decision Making, Conference paper (text), Santa Monica, US Paul Curzon , Ann Blandford Formally Justifying User-Centred Design Rules: A Case Study on Post-completion Errors 2004 Integrated Formal Methods: 4th International Conference, IFM 2004, Cnaterbury, UK, April 4-7, 2004: Proceedings, Conference paper (text), Heidelberg S Sulaiman, Ann Blandford Haptic Cues for Supporting Interaction Design in the Drawing Domain. 2004 Proc. HCI04, Conference paper (text) A Adams, S Attfield, Ann Blandford Have Digital Resources Taken a Wrong Turn on the Health Information Journey? 2004 Proc. Healthcare Digital Libraries Workshop (at ECDL 2004)., Conference paper (text) W Wong, Ann Blandford Information Handling in Dynamic Decision Making Environments. 2004 Proceedings of ECCE-12, Living and Working with Technology., Conference paper (text), York: European Association of Cognitive Ergonomics. George Buchanan , Ann Blandford , Harold Thimbleby , M Jones Integrating information seeking and structuring: exploring the role of spatial hypertext in a digital library 2004 Proceedings of the fifteenth ACM conference on Hypertext and hypermedia (HYPERTEXT '04), Conference paper (text), New York, US George Buchanan , Ann Blandford , Harold Thimbleby , M Jones Supporting Information Structuring in a Digital Library 2004 Proc. ECDL 2004., Conference paper (text) George Buchanan , Ann Blandford , Harold Thimbleby , M Jones Supporting information structuring in a digital library 2004 Chapter, Heidelberg S Attfield, Ann Blandford , B Craft Task embedded visualisation: the design for an interactive IR results display for journalists 2004 Proceedings: Eighth International Conference on Information Visualisation IV 2004: 14 - 16 July 2004, London, England, Conference paper (text), Los Alamitos, US A Adams, Ann Blandford The Unseen and Unacceptable Face or Digital Libraries 2004 International Journal of Digital Libraries, Journal article Ann Blandford , George Buchanan , M Jones Usability of Digital Libraries (Editorial). 2004 Journal of Digital Libraries, Journal article A Light, Ann Blandford , G Cockton, A Dearden, J Finlay Values in HCI: what drives our practice? Panel Presentation 2004 Proc. HCI 2004, Conference paper (text) A Adams, Ann Blandford An outreach librarian project's impact upon successful digital library uptake 2003 Proc. Workshop on Healthcare Digital Libraries, Conference paper (text) BLW Wong, Ann Blandford Field research in HCI: a case study 2003 Proceedings of CHINZ'03, the 4th Annual Conference of the ACM Special Interest Group on Computer Human Interaction, New Zealand Chapter: 3-4 July 2003, Dunedin, New Zealand, Conference paper (text), New Zealand S Attfield, Ann Blandford , J Dowell Information seeking in the context of writing - A design psychology interpretation of the "problematic situation" 2003 Journal of Documentation, Journal article Smith S Guven, Ann Blandford MLTutor: An Application of Machine Learning Algorithms for an Adaptive Web-based Information System 2003 International Journal of Artificial Intelligence and Education, Other Ann Blandford , I Connell Ontological Sketch Modelling (OSM): Concept-based Usability Analysis 2003 Human-computer interaction, INTERACT '03: IFIP TC13 International Conference on Human-Computer Interaction, 1st-5th September 2003, Zurich, Switzerland, Conference paper (text), Amsterdam, The Netherlands I Connell, T Green, Ann Blandford Ontological Sketch Models: Highlighting User-System Misfits 2003 People and Computers XVII, Journal article Ann Blandford , Harold Thimbleby Proc. HCI2003 2003 Understanding Interaction Traps., Conference paper (text) A Adams, Ann Blandford Security and online learning: to protect or prohibit 2003 Journal article S Minocha, L Dawson, Ann Blandford , D Roberts The customers perspective: sociological accounts of e-commerce encounters 2003 Proceedings of the IADIS International Conference on WWW/Internet: Algarve, Portugal, 5-8 November 2003, Conference paper (text), Lisbon, Portugal L Dawson, S Minocha, Ann Blandford , D Roberts The Customer's perspective: Sociological Accounts of E-Commerce Encounters 2003 Proc. IADIS International Conference WWW/Internet, Conference paper (text) Ann Blandford , B Fields, S Keith Tutorial at JCDL 2003 2003 Evaluating Usability for Digital Libraries, Conference paper (text) Ann Blandford , Harold Thimbleby Understanding Interaction Traps 2003 Proc. HCI, Conference paper (text) Ann Blandford , George Buchanan Usability for digital libraries. 2002 JCDL, Conference paper (text) Ann Blandford , BLW Wong, I Connell, TRG Green Multiple Viewpoints On Computer Supported Team Work: A Case Study On Ambulance Dispatch 2002 People and Computers XVI - Memorable Yet Invisible: Proceedings of HCI 2002, Conference paper (text), London, UK Harold Thimbleby , Ann Blandford , Paul Cairns , Paul Curzon , M Jones User interface design as systems design 2002 16th British-Human-Computer-Interact-Group Annual Conference/European-Usability-Professionals-Association, Conference paper (text), LONDON, ENGLAND Ann Blandford , George Buchanan Workshop report: usability of digital libraries @ JCDL'02. 2002 D-Lib Magazine, Journal article George Buchanan , Ann Blandford , M Jones, Harold Thimbleby Spatial Hypertext as a reader tool in digital libraries 2002 2nd International Workshop on Visual Interfaces to Digital Libraries held at the Joint Conference on Digital Libraries (JCDL), Conference paper (text), PORTLAND, OREGON Ann Blandford , G Rugg A case study on integrating contextual information with analytical usability evaluation 2002 International Journal of Human-Computer Studies, Journal article Ann Blandford A case study on integrating contextual information with analytical usability evaluation 2002 INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES, Journal article A Adams, Ann Blandford Acceptability of Medical Digital Libraries 2002 Health Informatics Journal, Journal article S Keith, Ann Blandford , R Fields, YL Theng An investigation into the application of Claims Analysis to evaluate usability of a digital library interface 2002 JCDL02 Workshop on Usability of Digital Libraries, Conference paper (text) BLW Wong, Ann Blandford Analysing ambulance dispatcher decision making: trialing emergent themes analysis 2002 Proceedings of the HF2002 Human Factors Conference: Design for the whole person: integrating physical, cognitive and social aspects, Conference paper (text), Canberra, Australia S Batty, Ann Blandford , J Clark, T Fryer, X Gao Content based retrieval of lesioned brain images 2002 Medical Imaging 2002: PACS and Integrated Medical Information Systems: Design and Evaluation, Conference paper (text), Bellingham, US A Adams, Ann Blandford Digital Libraries in Academia: Challenges and Changes 2002 Digital Libraries: People, Knowledge, and Technology: 5th International Conference on Asian Digital Libraries, ICADL 2002, Singapore, December 1114, 2002: Proceedings, Conference paper (text), Berlin/Heidelberg, Germany H Xiong, Paul Curzon , S Tahar, Ann Blandford Formally Linking MDG and HOL based on a Verified MDG System 2002 Integrated Formal Methods: Third International Conference, IFM 2002 Turku, Finland, May 1518, 2002: Proceedings, Conference paper (text), Berlin/Heidelberg, Germany H Xiong, Paul Curzon , S Tahar, Ann Blandford Formally linking MDG and HOL based on a verified MDG system 2002 Chapter, Heidelberg Paul Curzon , Ann Blandford From a formal user model to design rules 2002 Chapter, Heidelberg S Cummaford, Ann Blandford , John Long Introduction to HCI structured engineering design methods 2002 Proceedings of the 1st European UPA conference on European usability professionals association conference, Conference paper (text), Swindon, UK Ann Blandford , George Buchanan noname-6093-1 2002 Proceedings of a workshop on Usability of Digital Libraries at JCDL'02. (Available from: www.uclic.ucl.ac.uk/annb/DLUsability/JCDL02.html), Conference paper (text) Ann Blandford , George Buchanan noname-6094-1 2002 Report on Workshop on Usability of Digital Libraries at JCDL'02, Conference paper (text), http://www.acm.org/sigir/forum/F2002-TOC.html George Buchanan , Ann Blandford , M Jones, Harold Thimbleby noname-6132-1 2002 Visual Interfaces to Digital Libraries, Conference paper (text) Paul Curzon , Ann Blandford , R Butterworth, R Bhogal noname-6227-1 2002 Interaction Design Issues for Car Navigation Systems, Conference paper (text) Smith S Guven, Ann Blandford noname-6403-1 2002 International Journal of Artificial Intelligence and Education, Conference paper (text) J Platts, Ann Blandford , C Huyck noname-6746-1 2002 'Awaiting the sensation of a short, sharp shock: Twist-centred story generation by transformation'. Proceedings of Workshop on AI and the Creativity in Arts and Science, AISB2002 Workshop Series, Conference paper (text) H Stelmaszewska, Ann Blandford Patterns of interactions: user behaviour in response to search results 2002 Proceedings of the JCDL Workshop on Usability of Digital Libraries Usability of Digital Libraries 2002, Conference paper (text), London, UK A Adams, Ann Blandford Security and online learning: to protect or prohibit 2002 Chapter George Buchanan , Ann Blandford , M Jones, Harold Thimbleby Spatial Hypertext as a Reader Tool in Digital Libraries 2002 Visual Interfaces to Digital Libraries [JCDL 2002 Workshop], Conference paper (text), London, UK George Buchanan , Ann Blandford , M Jones, Harold Thimbleby Spatial hypertext as a reader tool in digital libraries 2002 Chapter, Heidelberg Ann Blandford , H Stelmaszewska Usability of Musical Digital Libraries: A Multimodal Analysis 2002 3rd International Symposium on Music Information Retrieval, Conference paper (text), Paris B Thimbleby, Ann Blandford , Paul Cairns , Paul Curzon , M Jones User Interface Design as Systems Design 2002 Chapter Ann Blandford , R Butterworth, Paul Curzon PUMA Footprints: linking theory and craft skill in usability evaluation 2001 IFIP TC 13 International Conference on Human-Computer Interaction (INTERACT 01), Conference paper (text), TOKYO, JAPAN Ann Blandford , H Stelmaszewska, N Bryan-Kinns Use of multiple digital libraries: a case study 2001 1st ACM/IEEE-CS Joint Conference on Digital Libraries, Conference paper (text), New York, NY, USA Ann Blandford Intelligent interaction design: The role of human-computer interaction research in the design of intelligent systems 2001 EXPERT SYSTEMS, Journal article Paul Curzon , Ann Blandford Detecting multiple classes of user errors 2001 Chapter, Heidelberg A Adams, Ann Blandford Digital libraries in a clinical setting: friend or foe? 2001 Chapter, Heidelberg XW Gao, S Batty, J Clark, TD Fryer, Ann Blandford Extraction of Sagittal Symmetry Planes from Pet Images. 2001 VIIP, Conference paper (text) Ann Blandford , TRG Green Group and Individual Time Management Tools: What You Get is Not What You Need. 2001 Personal and Ubiquitous Computing, Journal article Ann Blandford , H Stelmaszewska, N Bryan-Kinns Use of multiple digital libraries: A case study 2001 Proceedings of the ACM International Conference on Digital Libraries, Journal article R Butterworth, Ann Blandford , D Duke Demonstrating the cognitive plausibility of interactive system specifications 2000 Formal Aspects of Computing, Journal article Ann Blandford , J Good Programmable user modelling analysis in theory and in practice 1999 Conference on Human Factors in Computing Systems - Proceedings, Journal article R Butterworth, Ann Blandford , DJ Duke Using Formal Models to Explore Display-Based Usability Issues. 1999 JOURNAL OF VISUAL LANGUAGES AND COMPUTING, Journal article R Butterworth, Ann Blandford The principle of rationality and models of highly interactive systems 1999 International Conference on Human-Computer Interaction (INTERACT 99), Conference paper (text), EDINBURGH, SCOTLAND J Good, Ann Blandford Integrating HCI concerns into the design of safety-critical interactive systems: A case study 1999 IEE Colloquium (Digest), Journal article J Good, Ann Blandford Incorporating human factors concerns into the design and safety engineering of complex control systems 1999 PEOPLE IN CONTROL, Journal article Ann Blandford , SJB Shum, Richard Young Training software engineers in a novel usability evaluation technique 1998 INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES, Journal article R Butterworth, Ann Blandford The Role of Formal Proof in Modelling Interactive Behaviour. 1998 DSV-IS, Conference paper (text) Ann Blandford , DJ Duke Integrating user and computer system concerns in the design of interactive systems 1997 INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES, Journal article Ann Blandford , R Butterworth, J Good Users as rational interacting agents: formalising assumptions about cognition and interaction. 1997 DSV-IS, Conference paper (text) Ann Blandford , Richard Young Specifying user knowledge for the design of interactive systems 1996 SOFTWARE ENGINEERING JOURNAL, Journal article V Bellotti, Ann Blandford , D Duke, A MacLean, J May, L Nigay Interpersonal access control in computer-mediated communications: A systematic analysis of the design space 1996 HUMAN-COMPUTER INTERACTION, Journal article SB Shum, Ann Blandford , DJ Duke, J Good, J May, F Patern, Richard Young Multidisciplinary Modelling for User-Centred System Design: An Air-traffic Control Case Study. 1996 BCS HCI, Conference paper (text) J Coutaz, L Nigay, D Salber, Ann Blandford , J May, Richard Young Four easy pieces for assessing the usability of multimodal interaction: the CARE properties. 1995 INTERACT, Conference paper (text) Ann Blandford , Richard Young Separating user and device descriptions for modelling interactive problem solving. 1995 INTERACT, Conference paper (text) Ann Blandford , N Cross, E Scanlon Computers and the development of design decision making skills 1994 COMPUTERS & EDUCATION, Journal article MD Harrison, Ann Blandford , PJ Barnard Modelling Interactive Systems and Providing Task Relevant Information. 1994 DSV-IS, Conference paper (text) Ann Blandford An agent-theoretic approach to computer participation in dialogue 1993 International Journal of Man-Machine Studies, Journal article Ann Blandford Applying the WOM to WOMBAT: evaluation of a tool to support learning about design evaluation 1993 Design Studies, Journal article Ann Blandford "Knowledge Negotiation, " edited by R. Moyse and M. T. Elsom-Cook (Book Review). 1993 International Journal of Man-Machine Studies, Journal article J May, PJ Barnard, Ann Blandford Using Structural Descriptions of Interfaces to Automate the Modelling of User Cognition. 1993 User Modeling and User-Adapted Interaction, Journal article Ann Blandford A Tutorial Dialogue Model to Encourage Externalisation and Reflection. 1990 ECAI, Conference paper (text) Ann Blandford Engineering design education: the potential offered by artificial intelligence techniques 1990 Design Studies, Journal article Ann Blandford WOMBAT: An Intelligent Educational System to Encourage Externalisation and Reflection on Decision Processes. 1990 ICCAL, Conference paper (text) Ann Blandford Eliciting Peoples Conceptual Models of Activities and Systems N/A International Journal of Conceptual Structures and Smart Applications, Journal article Ann Blandford , S Keith, R Butterworth, B Fields, Dominic Furniss Disrupting digital library development with scenario informed design N/A Interacting with Computers, Journal article Furniss, O'Kane, R Randell, S Taneva, H Mentis, Ann Blandford Fieldwork for Healthcare: Case Studies Investigating Human Factors in Computing Systems N/A Book J Rimmer, C Warwick, Ann Blandford , J Gow, George Buchanan Information seeking in the Humanities: Physicality and Digitality N/A Physicality 2006: Proceedings of the First International Workshop on Physicality, Conference paper (text), Lancaster, UK Chris Vincent , Ann Blandford Medical Device Design Standards: Necessary But Not Sufficient N/A Poster, HFES 2014 International Symposium on Human Factors and Ergonomics in Health Care Chicago Ann Blandford , Dominic Furniss , Chris Vincent Patient safety and interactive medical devices: Realigning work as imagined and work as done N/A Clinical Risk, Journal article H Schneider, S Hill, Ann Blandford Patient empowerment: designing technology that supports peoples coping strategies N/A Journal of Medical Internet Research, Journal article Aisling Ann O'Kane , Ann Blandford Patients Situated Affective Experience with Mobile Medical Devices N/A Working/Discussion Paper Ann Blandford Semi-structured qualitative studies N/A Chapter Ann Blandford , A Adams, S Attfield, George Buchanan , J Gow, S Makri, J Rimmer, C Warwick The PRET A Rapporter Framework: Evaluating Digital Libraries from the perspective of information work N/A INFORM PROCESS MANAG, Journal article Sheila Pontis , Ann Blandford Understanding influence: An exploratory study of academics process of knowledge construction through iterative and interactive information seeking N/A Journal of the American Society for Information Science and Technology, Journal article A Rajkomar, A Mayer, Ann Blandford Understanding safety-critical interactions with a home medical device through Distributed Cognition N/A Journal of Biomedical Informatics, Journal article Parent Departments University College London UCL Computer Science UCL Division of Psychology and Language Sciences Collaborations ICRI UCL Institute of Digital Health Global Disability Innovation Hub Connect with us About UCLIC Meet UCLIC people UCL Interaction Centre - University College London, 2nd floor 66-72 Gower Street, London, WC1E 6BT Tel: +44 (0) 20 3108 7050 2001-2019 UCLIC Disclaimer Freedom of Information Accessibility Privacy Cookies Contact Us Intranet Top diff --git a/src/data/compiled_bios/1005.txt b/src/data/compiled_bios/1005.txt new file mode 100644 index 0000000000..32a9716c96 --- /dev/null +++ b/src/data/compiled_bios/1005.txt @@ -0,0 +1 @@ + Fernando Brandao Role Reader in Quantum Information Science Office GS3.12 Office Location University College London Dept. of Computer Science 66-72 Gower Street London WC1E 6EA United Kingdom Tel +44 (0)20 3108 7092 (Direct Dial) Internal 57092 Fax +44 (0)20 7387 1397 Email F.Brandao (at) cs.ucl.ac.uk Postal Address University College London Dept. of Computer Science Gower Street London WC1E 6BT United Kingdom Group Intelligent Systems Personal Pages (None) diff --git a/src/data/compiled_bios/1006.txt b/src/data/compiled_bios/1006.txt new file mode 100644 index 0000000000..4af1b9b97b --- /dev/null +++ b/src/data/compiled_bios/1006.txt @@ -0,0 +1 @@ + Students Alumni Research Teaching Vacancies Contact My name is Gabriel Brostow, and I am a professor in Computer Science here at UCL . My group explores research problems relating to Computer Vision and Computer Graphics. The students and colleagues here have diverse interests, but my focus is on "Human in the Loop Computer Vision," for analysis and synthesis applications. To me, this means having or finding satisfying answers to these questions about a system, whether interactive or fully automated: I) Does the system know the intended purpose of the data being captured? II) Can the system assess its own accuracy? III) Does the system ask questions of users, when it's uncertain? I love this field because it allows us to apply our expertise to a variety of tough problems, including film and photo special effects (computational photography), action analysis (of people, animals, and cells), and authoring systems (for architecture, animation, presentations) that make the most of user effort. "Motion reveals everything" used to be my main research mantra, but that has now taken hold sufficiently (obviously NOT just through my efforts!) that it no longer needs championing. Previously, I had a visiting researcher appointment at ETH Zurich 's CVG Group , and a Marshall Sherfield Fellowship in the Computer Vision & Robotics Group at Cambridge University. I did my PhD with Irfan Essa at Georgia Tech , and my undergraduate degree at UT Austin . News: See my group's YouTube Channel . (June 2017) Our work on detecting bats in the Olympic Park hit the press today! See the BBC article on the front of their Science section, or the front-page of UCL's site. Some behind-the-scenes context: The real machine learning R&D was done by Daniyar Turmukhambetov, Oisin Mac Aodha, and Michael Firman. All are current/recent postdocs from our group. Most started as MSc students here! Sarah Gallacher is the linchpin of the project. Not surprising, as she started with a background in software engineering and machine learning, and then got into HCI. There are many other people involved, and you should read about them and see the project landing page: https://naturesmartcities.com/. I'll just add that Libby Kinsey did her MSc a few years ago in our group, working with Oisin and Kate Jones, to get the initial bat-call detector working on full-size computers. So what you're seeing running in the Olympic Park is the result of these people's hard work to build ML models, herd volunteers, gather data, build hardware, shrink ML models, waterproof prototypes, etc. That's several people's very hard work over a sustained period of time! Thanks to EPSRC EP/K015664/1 and EP/K503745/1 for co-funding this work. Collecting some of the press coverage here: http://www.ucl.ac.uk/news/headlines/0617/290617-shazam-for-bats To see the bats ping'ing, check out the live map (best at night): http://batslondon.com . (Mar-Sep 2017) I am Program Co-Chair for BMVC 2017 . Come to the conference in September! We had a record number of submissions, as this is a top venue for publishing new work in Computer Vision and Machine Learning. (May 2017) Our handwriting-synthesis project has passed 50k views on YouTube. (Oct 2016) I'll be an Area Chair for CVPR 2017 - the top ranked Computer Science publication. (July 2016) I have joined IEEE TPAMI as an Associate Editor. Submit your great papers, so they can appear in the top-ranked journal in all of Computer Science! (Sep 2016) We have filed for a patent on our MonoDepth work! (Now a CVPR 2017 paper) Students & Postdocs: Stephan Garbin (PhD) Cl?ent Godard (PhD) Peter Hedman (PhD) Corneliu Ilisescu (PhD) Thanapong Intharah (PhD) Peter Rennert (PhD) Efstratios (Stratos) Skordos (PhD) Daniel Worrall (PhD) Malcolm Reynolds (PhD - submitted) Dr. Michael Firman Dr. Daniyar Turmukhambetov Alumni: Dr. Oisin Mac Aodha (postdoc) Dr. Wenbin Li (postdoc) Aytac Kanaci (Research Assistant) Animesh Mishra (MSc) Dr. Maciej Gryka (PhD) Libby Kinsey (MSc) James Owers (MSc) Lionel Ward (MSc) Mengjiao Wang (MSc) Loic Legaye (MSc) Dr. Tom SF Haines (postdoc) Dr. Edward Johns (postdoc) Dr. Oisin Mac Aodha (PhD) Prof Mike Terry ( Leverhulme Visiting Professor ) Dana Zemel (MSc) Zhifei Deng (MSc) Dina El Kholy (MSc) Katrin Honauer (MSc) Aron Monszpart (MSc) Jennifer Nguyen (MSc) Dominic Waithe (MSc) Cristina Garcia-Cifuentes (PhD) Dr. Grigorios Skolidis (postdoc) Cl?ent Godard (MSc) Hugo Lopez Tovar (MSc) Oscar Plag (MSc) Mischa Schirris (MSc) Prathyusha Vadrevu (MSc) Martijn van der Veen (MSc) Jacques Cali (MSc) Vincent Gabou (MSc) Arun Nair (MSc) Daniyar Turmukhambetov (MSc) Victor Borjas (MSc) Yotam Doron (MSc) Ahmad Humayun (MSc) Vineet Kapoor (MSc) Michael King (MSc) Anthony J Lazzaro (MSc) Golnoosh Samei (MSc ETH Zurich) Cristina Amati (MSc) Karim Morcos (MSc) Research: C Ilisescu, H. A. Kanaci, M. Romagnoli, N. Campbell, G.J. Brostow, " Responsive Action-Based Video Synthesis ," 2017, conditionally accepted to SIGCHI - Project Page - BibTex - PDF T. Intharah, D. Turmukhambetov, G.J. Brostow, (HILC) "Help, It Looks Confusing: GUI Task Automation Through Demonstration and Follow-up Questions ," in ACM Intelligent User Interfaces (IUI) 2017 - Project Page - BibTex - PDF C. Godard, O. Mac Aodha, G.J. Brostow, " Unsupervised Monocular Depth Estimation with Left-Right Consistency ," 2016, on arXiv for now. - Project Page - PDF P. Hedman, T. Ritschel, G. Drettakis, G.J. Brostow, " Scalable Inside-Out Image-Based Rendering ," conditionally accepted to SIGGRAPH ASIA 2016 - Project Page - BibTex - PDF D. E. Worrall, C. Wilson, G. Brostow, " Automated Retinopathy of Prematurity Case Detection with Convolutional Neural Networks ," in Deep Learning in Medical Image Analysis 2016 - Project Page - BibTex - PDF W. Li, F. Viola, J. Starck, G.J. Brostow, N.D.F. Campbell, " Roto++: Accelerating Professional Rotoscoping Using Shape Manifolds ," SIGGRAPH 2016 - Project Page - BibTex - PDF M. Firman, O. Mac Aodha, S. Julier, G.J. Brostow, " Structured Prediction of Unobserved Voxels From a Single Depth Image ," CVPR 2016 - Project Page - BibTex - PDF D. Worrall, G.J. Brostow, C. Wilson, " Automated Optic Disk Localization in The Neonatal Fundus Image ," ARVO 2016 - Project Page - BibTex - PDF T. Haines, O. Mac Aodha, G.J. Brostow, " My Text in Your Handwriting ," Transactions on Graphics (ToG), to be presented at SIGGRAPH 2016 - Project Page - BibTex - PDF C. Godard, P. Hedman, W. Li, G.J. Brostow, " Multi-view Reconstruction of Highly Specular Surfaces in Uncontrolled Environments ," 3DV 2015 - Project Page - Code - BibTex - PDF A. Monszpart, N. Mellado, G.J. Brostow, N.J. Mitra, " Rebuilding Scans of Man-made Scenes with Regular Arrangements of Planes ," SIGGRAPH 2015 / Transactions on Graphics (ToG). - Project Page - BibTex - PDF E. Johns, O. Mac Aodha, G.J. Brostow, " Becoming the Expert - Interactive Multi-Class Machine Teaching ," CVPR 2015 - Project Page - Video Presentation - BibTex - PDF M. Gryka, M. Terry, G.J. Brostow, " Learning to Remove Soft Shadows ," Transactions on Graphics (ToG), presented at SIGGRAPH 2015 - Project Page - PDF - BibTex D. Waithe, P. Rennert, G.J. Brostow, M.D.W. Piper, " QuantiFly: Robust Trainable Software for Automated Drosophila Egg Counting ," PLoS ONE, 2015 - Project Page - Code - BibTex O. Mac Aodha, N.D.F. Campbell, J. Kautz, G.J. Brostow, " Hierarchical Subquery Evaluation for Active Learning on a Graph ," CVPR 2014 - Project Page - Talk Video - BibTex - PDF Hugo Lopez-Tovar, G.J. Brostow, " Learning Sketch-based 3D Modelling From A User's Sketching Gestures ," Sketch: Pen and Touch Recognition, IUI Workshop 2014 - PDF - BibTex O. Mac Aodha, V. Stathopoulos, M. Terry, K.E. Jones, G. J. Brostow, M. Girolami, " Putting the Scientist in the Loop - Accelerating Scientific Progress with Interactive Machine Learning ," Invited paper in ICPR 2014 - Project Page - PDF - BibTex O. Mac Aodha, G.J. Brostow, " Revisiting Example Dependent Cost-Sensitive Learning with Decision Trees ," ICCV 2013 - Project Page - BibTex - PDF O. Mac Aodha, A. Humayun, M. Pollefeys, G.J. Brostow, " Learning a Confidence Measure for Optical Flow ," in IEEE PAMI 2012 - Project Page - BibTex - PDF C. Garc? Cifuentes, M. Sturzel, F. Jurie G.J. Brostow, " Motion Models That Only Work Sometimes ," BMVC 2012 - Project Page - BibTex - PDF (Ksummit17's input video http://youtu.be/ygEFhh1MPOE ) O. Mac Aodha, N.D.F. Campbell, A. Nair, G.J. Brostow, " Patch Based Synthesis for Single Depth Image Super-Resolution ," ECCV 2012 - Project Page - BibTex - PDF A. Humayun, O. Mac Aodha, G.J. Brostow, " Learning to Find Occlusion Regions ," CVPR 2011 - Project Page - BibTex - PDF M. Reynolds, J. Dobo?, L. Peel, T. Weyrich, G.J. Brostow, " Capturing Time-of-Flight Data with Confidence ," CVPR 2011 - Project Page - BibTex - PDF G.J. Brostow, C. Hern?dez, G. Vogiatzis, B. Stenger, R. Cipolla, " Video Normals from Colored Lights ," IEEE PAMI 2011 - PDF - Project Page (does not include PDF though) - Bibtex A. Taneja, L. Ballan, J. Puwein, G.J. Brostow, M.Pollefeys, "3D Reconstruction and Video-Based Rendering of Casually Captured Videos," chapter in Video Processing and Computational Video, Springer 2011 - Book - BibTex L. Ballan, G. J. Brostow, J. Puwein, M. Pollefeys, " Unstructured Video-Based Rendering: Interactive Exploration of Casually Captured Videos ," ACM Transactions on Graphics (Proc. SIGGRAPH) 2010 - Project Page - BibTex - further efforts O. Mac Aodha, G.J. Brostow, M. Pollefeys, " Segmenting Video Into Classes of Algorithm-Suitability ," CVPR 2010 - Project Page - BibTex C. Amati, G.J. Brostow, " Modeling 2.5D Plants from Ink Paintings ," in Proc. ACM SIGGRAPH/Eurographics Symposium on SBIM (Sketch-Based Interfaces and Modeling), p41-48, 2010 - PDF - BibTex G.J. Brostow, J. Fauqueur, R. Cipolla, " Semantic object classes in video: A high-definition ground truth database ," Pattern Recognition Letters 30(2): 88-97, 2009 - PDF - CamVid Project Page - Data (The raw video files are mirrored here) - BibTex G.J. Brostow, J. Shotton, J. Fauqueur, R. Cipolla, " Segmentation and Recognition using Structure from Motion Point Clouds ", ECCV (1) : 44-57, 2008 - New project page with original data (CamVid) - Original Project Page (with some broken links) - Raw video files are mirrored here - BibTex C. Hern?dez, G. Vogiatzis, G.J. Brostow, B. Stenger, R. Cipolla, " Non-Rigid Photometric Stereo with Colored Lights ," ICCV 2007 - Project Page - BibTex J. Fauqueur, G. Brostow, R. Cipolla, " Assisted Video Object Labeling By Joint Tracking of Regions and Keypoints ," In Proc. IEEE ICCV 2007 Interactive Computer Vision Workshop, p1-7, 2007 - PDF - BibTex G. J. Brostow, R. Cipolla, " Unsupervised Bayesian Detection of Independent Motion in Crowds ," In Proc. IEEE CVPR, Vol I: 594-601, June 2006. - PDF - BibTex - Project Page M. Johnson, G.J. Brostow, J. Shotton, O. Arandjelovic, V. Kwatra, R. Cipolla, " Semantic Photo Synthesis ," Computer Graphics Forum (Proc. Eurographics) Volume 25, #3, p407-413 , 2006. - PDF - BibTex - Project Page A.R. Shen, G.J. Brostow, R. Cipolla, " Toward Automatic Bloodspatter Analysis in Crime Scenes ," In Proceedings IET Crime and Security Conference ( Imaging for Crime Detection and Prevention ), p378-383, 2006. - PDF - BibTex - Project Page M. Wilczkowiak, G.J. Brostow, B. Tordoff, R. Cipolla, " Hole Filling Through Photomontage ," p492-501 in BMVC 2005. - PDF (1.8Mb) - BibTex - Project Page M. Terry, G.J. Brostow, G. Ou, J. Tyman, D. Gromala, " Making Space for Time in Time-Lapse Photography ," In SIGGRAPH Technical Sketches, 2004. - PDF (2.5Mb) - BibTex - Project Page G.J. Brostow, I. Essa, D. Steedly, V. Kwatra, " Novel Skeletal Representation For Articulated Creatures ," In Proceedings of ECCV, May 2004, Vol III: 66-78. Official version ? Springer-Verlag - ECCV 2004.pdf (5Mb) - BibTex G.J. Brostow, " Novel Skeletal Representation For Articulated Creatures, " Ph.D. Thesis, Georgia Institute of Technology, 2004. - PDF (21Mb) - BibTex - Project Page K.E. Sukel, R. Catrambone, I.A. Essa, G.J. Brostow, " Presenting Movement in a Computer-Based Dance Tutor ," In International Journal of Human-Computer Interaction, 15(3), 2003 - PDF - BibTex G.J. Brostow and I.A. Essa, " Image-Based Motion Blur for Stop Motion Animation ," In Computer Graphics, Proceedings of SIGGRAPH 2001. - Project Page - BibTex I.A. Essa and G.J. Brostow, " A Course on Digital Video Special Effects ," in Proceedings of the IEEE CS Workshop on Undergraduate Education & Image Computation, Hilton Head, South Carolina, June, 2000. - PDF version - DVFX Home Page - BibTex J. O' Brien, B. Bodenheimer, G.J. Brostow, J. Hodgins, " Automatic Joint Parameter Estimation From Magnetic Motion Capture Data ," Graphics Interface 2000, Montreal, Canada. - Abstract - PDF version - BibTex G.J. Brostow and I.A. Essa, " Motion Based Decompositing of Video ," in Proceedings of ICCV, International Conference on Computer Vision 1999, Corfu, Greece, September 1999. - PDF version - Project Home Page - BibTex Teaching: [Students of the Computer Graphics, Vision, and Imaging MSc (prev. VIVE), go join the Facebook Group !] Spring 2017: Computational Photography & Capture Fall 2016: Machine Vision Spring 2016: Computational Photography & Capture Fall 2015: Machine Vision Spring 2015: Computational Photography & Capture Fall 2014: Machine Vision Spring 2014: Computational Photography & Capture Fall 2013: Machine Vision Spring 2013: Computational Photography & Capture Fall 2012: Machine Vision Spring 2012: Computational Photography & Capture Fall 2011: Machine Vision Spring 2011: Computational Photography & Capture (links to slides from my most recent lectures are also here ) Fall 2010: Image Processing Spring 2010: Computational Photography & Capture Spring 2010: Image Processing and Graphics Fall 2009: Image Processing @ UCL Spring 2009: Visual Computing @ ETH Spring 2009: Computational Photography & Video @ ETH (ETH only, for now) Fall 2008: Image Processing @ UCL Fall 2008: Advanced Topics in Computer Graphics and Vision @ ETH Spring 2008: Computational Photography & Video @ ETH See my page of " Disappearing papers " for a cache of other people's research projects that I find have instructional value. Vacancies: See my current open positions here . Otherwise, see my note to prospective students . Projects for MSc's: Internal-only link to view the slides is here (note which academic year!). (You must be browsing from within the UCL domain). Simple LaTeX template files for building a UCL Computer Science MSc Thesis. Contact Details: brostow .at. cs.ucl.ac.uk Prof. Gabriel Brostow UCL Department of Computer Science Gower Street London WC1E 6BT United Kingdom Office #508, 66 Gower Street, London Fax: +44 (0)20 7387 1397 Tel: +44 (0)20 3108 7120 Directions for getting to my office (outdated, but follow these to get to UCL) diff --git a/src/data/compiled_bios/1007.txt b/src/data/compiled_bios/1007.txt new file mode 100644 index 0000000000..2ba9f6c2c4 --- /dev/null +++ b/src/data/compiled_bios/1007.txt @@ -0,0 +1 @@ + James Brotherston Reader in Logic and Computation Programming Principles, Logic and Verification Group (PPLV) Dept. of Computer Science, University College London E-mail: J.Brotherston@ucl.ac.uk Address: Room 5.20, Dept. of Computer Science, Malet Place Engineering Building, Gower Street, London. WC1E 6BT United Kingdom Erds number: 4 ( MathSciNet ) h-index: 19 ( Google Scholar ) Jump to: Publications Slides Program committees: EICNCL 2018 (Workshop on External and Internal Calculi for Non-Classical Logics) ADSL 2018 (Workshop on Automated Deduction for Separation Logics) LiCS 2017 (Logic in Computer Science) FoSSaCS 2017 (Foundations of Software Science and Computation Structures) RADICAL 2017 (Recent Advances in Concurrency and Logic) SD 2017 (Workshop on Structures and Deduction) APLAS 2015 (Asian Symposium on Programming Languages and Systems) MFPS 2015 (Mathematical Foundations of Programming Semantics) CPP 2015 (Certified Programs and Proofs) APLAS 2011 (Asian Symposium on Programming Languages and Systems) RAs and students: Dr Paul Brunet , Research Associate at UCL, October 2018 - present Diana Costa , Research Associate at UCL, October 2018 - present Prof. Max Kanovich , Research Associate at UCL, Jan 2015 - Jan 2018, and Sept 2018 - Sept 2020 Dr Reuben Rowe , Research Associate at UCL, May 2014 - Nov 2016 Dr Quratul-ain Mahesar, Research Associate at UCL, Dec 2013 - Sept 2014 Dr Pavle Subotic , PhD student at UCL, Oct 2015 - August 2018 (second supervisor) Kareem Khazem , PhD student at UCL, Oct 2014 - present Dr Brett McLean , PhD student at UCL, Oct 2013 - Feb 2018 (second supervisor) Dr Gadi Tellez Espinosa , PhD student at UCL, Oct 2013 - Dec 2018 Ana Armas , MSc(Distinction) in Computing, Imperial College London, 2010-11 Funding: Co-Investigator, "Interface Reasoning for Interacting Systems (IRIS)" EPSRC Programme Grant EP/R006865/1 , PI: David Pym . GBP 6,146,075, Jan 2018 - Dec 2023. Facebook Faculty Grant USD 30,000, Sept 2015. Principal Investigator, "Boosting Automated Verification using Cyclic Proof" EPSRC Responsive Mode Grant EP/K040049/1 . GBP 550,181, Nov 2013 - May 2017. EPSRC Career Acceleration Fellowship, "Logical Foundations of Resource" EPSRC grant EP/J002224/1 . GBP 465,503, Dec 2011 - Nov 2016. EPSRC Postdoctoral Fellowship, "Cyclic Proofs for Logic-Based Program Verification" EPSRC grant EP/F043767/1 . GBP 253,391, Nov 2008 - Oct 2011. Online lectures: An Introduction to Separation Logic (YouTube) Delivered at Oracle Labs, Brisbane in Dec 2015, with accompanying slides . Submitted papers: Automatically Verifying Temporal Properties of Programs with Cyclic Proof [ BibTeX ] Gadi Tellez Espinosa and James Brotherston. Submitted, 2018. (Expanded journal version of the CADE 2017 paper of the same name.) [ back to top ] Journal and conference papers: On the Complexity of Pointer Arithmetic in Separation Logic [ BibTeX ] James Brotherston and Max Kanovich . Accepted to APLAS-16 , December 2018. Earlier draft available as arXiv:1803.03164 . Realizability in Cyclic Proof: Extracting Ordering Information for Infinite Descent [ BibTeX ] Reuben Rowe and James Brotherston. In Proceedings of TABLEAUX-26 , 2017. Biabduction (and Related Problems) in Array Separation Logic [ BibTeX ] James Brotherston, Nikos Gorogiannis and Max Kanovich . In Proceedings of CADE-26 , 2017. Long version available as arXiv:1607.01993 . Automatically Verifying Temporal Properties of Programs with Cyclic Proof [ BibTeX ] Gadi Tellez Espinosa and James Brotherston. In Proceedings of CADE-26 , 2017. Automatic Cyclic Termination Proofs for Recursive Procedures in Separation Logic [ BibTeX ] Reuben Rowe and James Brotherston. In Proceedings of CPP-6 , 2017. Machine-checked Interpolation Theorems for Substructural Logics using Display Calculi [ BibTeX ] Jeremy Dawson , James Brotherston and Rajeev Gor . In Proceedings of IJCAR-8 , 2016. Model Checking for Symbolic-Heap Separation Logic with Inductive Predicates [ BibTeX ] James Brotherston, Nikos Gorogiannis , Max Kanovich and Reuben Rowe . In Proceedings of POPL-43 , 2016. Disproving Inductive Entailments in Separation Logic via Base Pair Approximation [ BibTeX ] James Brotherston and Nikos Gorogiannis . In Proceedings of TABLEAUX-24 , 2015. Sub-Classical Boolean Bunched Logics and the Meaning of Par [ BibTeX ] James Brotherston and Jules Villard . In Proceedings of CSL-24 , 2015. Cyclic Abduction of Inductively Defined Safety and Termination Preconditions [ BibTeX ] James Brotherston and Nikos Gorogiannis . In Proceedings of SAS-21 , 2014. A Decision Procedure for Satisfiability in Separation Logic with Inductive Predicates [ BibTeX ] James Brotherston, Carsten Fuhs , Nikos Gorogiannis and Juan Navarro Perez . In Proceedings of CSL-LICS , 2014. Undecidability of Propositional Separation Logic and its Neighbours [ BibTeX ] James Brotherston and Max Kanovich . In Journal of the ACM 61(2), April 2014. (Expanded journal version of the LICS'10 paper of the same name.) Parametric Completeness for Separation Theories [ BibTeX ] James Brotherston and Jules Villard . In Proceedings of POPL-41 , 2014. A Generic Cyclic Theorem Prover [ BibTeX ] James Brotherston, Nikos Gorogiannis and Rasmus L. Petersen . In Proceedings of APLAS-10 , 2012 Bunched Logics Displayed [ BibTeX ] James Brotherston. In Studia Logica 100(6), Dec 2012 (Expanded journal version of the MFPS'10 paper "A Unified Display Proof Theory for Bunched Logic".) Craig Interpolation in Displayable Logics [ BibTeX ] James Brotherston and Rajeev Gor . In Proceedings of TABLEAUX-20 , 2011 (An expanded version (PDF) containing detailed proofs is available as Imperial College technical report DTR11-1, 2011.) Automated Cyclic Entailment Proofs in Separation Logic [ BibTeX ] James Brotherston, Dino Distefano and Rasmus L. Petersen . In Proceedings of CADE-23 , 2011. Sequent Calculi for Induction and Infinite Descent [ BibTeX ] James Brotherston and Alex Simpson . In Journal of Logic and Computation 21(6), Dec 2011. (Expanded journal version of the LICS'07 paper "Complete Sequent Calculi for Induction and Infinite Descent".) Undecidability of Propositional Separation Logic and its Neighbours [ BibTeX ] James Brotherston and Max Kanovich . In Proceedings of LICS-25 , 2010. Classical BI: Its Semantics and Proof Theory [ BibTeX ] James Brotherston and Cristiano Calcagno . In Logical Methods in Computer Science 6(3), 2010. (Expanded journal version of the POPL'09 paper "Classical BI (A Logic for Reasoning about Dualising Resources)".) A Unified Display Proof Theory for Bunched Logic [ BibTeX ] James Brotherston. In Proceedings of MFPS-26 , 2010. Classical BI (A Logic for Reasoning about Dualising Resources) [ BibTeX ] James Brotherston and Cristiano Calcagno . In Proceedings of POPL-36 , 2009. Cyclic Proofs of Program Termination in Separation Logic [ BibTeX ] James Brotherston, Richard Bornat and Cristiano Calcagno . In Proceedings of POPL-35 , 2008. Formalised Inductive Reasoning in the Logic of Bunched Implications [ BibTeX ] [ Errata ] James Brotherston. In Proceedings of SAS-14 , 2007. Complete Sequent Calculi for Induction and Infinite Descent [ BibTeX ] James Brotherston and Alex Simpson . In Proceedings of LICS-22 , 2007. Cyclic Proofs for First-Order Logic with Inductive Definitions [ BibTeX ] James Brotherston. In Proceedings of TABLEAUX-14 , 2005. A Formalised First-Order Confluence Proof for the Lambda-Calculus using One-Sorted Variable Names [ BibTeX ] Rene Vestergaard and James Brotherston. In Information and Computation 183(2), 2003. (Expanded journal version of the RTA'01 article of the same name.) Isabelle/HOL proof developments Searching for Invariants using Temporal Resolution [ BibTeX ] James Brotherston, Anatoli Degtyarev , Michael Fisher and Alexei Lisitsa . In Proceedings of LPAR 2002 . The Mechanisation of Barendregt-Style Equational Proofs (The Residual Perspective) [ BibTeX ] Rene Vestergaard and James Brotherston. In Proceedings of MERLIN 2001 . Isabelle/HOL proof developments A Formalised First-Order Confluence Proof for the Lambda-Calculus using One-Sorted Variable Names (Barendregt was right after all ... almost) [ BibTeX ] Rene Vestergaard and James Brotherston. In Proceedings of RTA 2001 . Isabelle/HOL proof developments [ back to top ] Theses and dissertations: Sequent Calculus Proof Systems for Inductive Definitions [ BibTeX ] James Brotherston. PhD thesis, University of Edinburgh, 2006. Formalizing Proofs in Isabelle/HOL of Equational Properties for the Lambda-Calculus using One-Sorted Variable Names [ BibTeX ] James Brotherston. Honours dissertation, BSc(Hons) Computer Science & Mathematics, University of Edinburgh, 2001. Isabelle/HOL developments for chapter 2 and chapter 3 [ back to top ] Slides: On the Complexity of Pointer Arithmetic in Separation Logic Presented at APLAS-16 in Wellington, New Zealand in Decemeber 2018. An Introduction to Cyclic Proofs (part I) and (part II) Invited talk in two parts at the PARIS workshop at FLoC, at the University of Oxford in July 2018. Biabduction (and Related Problems) in Array Separation Logic Invited talk for the TICAMORE project kickoff meeting at the University of Vienna in March 2017. Machine-checked Interpolation Theorems for Substructural Logics using Display Calculi Presented at IJCAR-8 in Coimbra, Portugal in June 2016. Complete Sequent Calculi for Induction and Infinite Descent Presented at the University of Leeds in Feb 2016 (and, long before that, at LICS 2007 in Wroclaw, Poland). Model Checking for Symbolic-Heap Separation Logic with Inductive Predicates Presented at Oracle Labs in Brisbane, Australia (and at the Australian National University in Canberra) in Dec 2015. A Short Course on Boolean Bunched Logic A 5-lecture series presented at the Logic Summer School, Australian National University, Dec 2015: An introduction to separation logic Boolean bunched logic: its semantics and completeness Proof theory for Boolean bunched logic Undecidability of Boolean bunched logic Definability in Boolean bunched logic Sub-Classical Boolean Bunched Logics and the Meaning of Par Presented at CSL-24 in Berlin, Germany in Sept 2015. Disproving Inductive Entailments in Separation Logic via Base Pair Approximation Presented at TABLEAUX-24 in Wroclaw, Poland in Sept 2015. Parametric Completeness for Separation Theories Presented at New York University in Dec 2014. Cyclic Abduction of Inductive Safety and Termination Preconditions Invited talk at the LIX Colloquium on the Theory and Application of Formal Proofs, Nov 2013. Craig Interpolation in Displayable Logics Presented at TABLEAUX-20 in Bern, Switzerland in July 2011. Undecidability of Propositional Separation Logic and its Neighbours Presented at LICS-25 in Edinburgh in July 2010. Seminar-length version of the same slides, presented at Tallinn University of Technology in Nov 2011. A Unified Display Proof Theory for Bunched Logic , a.k.a. Bunched Logics Displayed Presented at MFPS-26 in Ottawa, Canada in May 2010. Seminar-length version of the same slides above, presented at the University of Edinburgh in Oct 2009. Classical BI (A Logic for Reasoning about Dualising Resource) Presented at POPL-36 in Savannah, GA in Jan 2009. Seminar-length version of the same slides, presented at the University of Edinburgh in Oct 2008. An Introduction to Cyclic Proofs Presented at the London Theory Day, Imperial College London in April 2008. Cyclic Proofs of Program Termination in Separation Logic Presented at POPL-35 in San Francisco, USA in January 2008. Seminar-length version of the same slides, presented at Imperial College on 12 December 2007 Formalised Inductive Reasoning in the Logic of Bunched Implications Presented at SAS-14 in Kongens Lyngby, Denmark in August 2007. [ back to top ] diff --git a/src/data/compiled_bios/1008.txt b/src/data/compiled_bios/1008.txt new file mode 100644 index 0000000000..681c06da67 --- /dev/null +++ b/src/data/compiled_bios/1008.txt @@ -0,0 +1 @@ + Close UCLIC - UCL Interaction Centre Home Home People Academics Administration Researchers PhD students Visitors Former UCLICers Study Prospective Research Students Induction Week Prospective Taught Students Studying HCI Part-Time Study Apply Now Graduate Destinations Student views FAQ New Students Current Research Students Current Taught Students Distinction Projects UCLIC Alumni Research Affective Computing Health and Wellbeing Collaboration & Communication Interactions in the Wild Designing Future Interfaces Physical Computing Educational Technologies Persuasive Technologies AI and HCI Assistive and Enabling Technology Publications Books About us Collaborate with us Research Collaborations Teaching Collaborations UCLIC's History News, Events, Seminars News Events Seminars Jobs Home People Academics Administration Researchers PhD students Visitors Former UCLICers Study Research Publications About us News, Events, Seminars Tweets by https://twitter.com/DuncanBrumby Home People Duncan Brumby Duncan Brumby Reader & MSc Programme Director d.brumby@ucl.ac.uk +44 (0)20 3108 7068 Room: 2.11 UCLIC, University College London 66 - 72 Gower Street London, WC1E 6EA United Kingdom @https://twitter.com/DuncanBrumby Office Hour My weekly office hour for Term 2 is Thursday 13:00 - 14:00. Students should email me ahead of time to confirm a meeting. Brief Biography I'm a Reader in Human-Computer Interaction at University College London (UCL ). Before joining UCL in 2007, I completed a PhD in Psychology at Cardiff University followed by a post-doc in Computer Science at Drexel University . While a PhD student I interned at PARC and Mircrosoft Research . Research My research is in the field of Human-Computer Interaction and is concerned with understanding how people manage digital distractions, focusing on four main themes: (1) technology use in the car, (2) managing interruptions in the workplace, (3) using devices in the home, (4) visual search of screens. I've published over 75 research articles (see Google Scholar ). Support has come from grants provided by the EPSRC , H2020 , and EIT Digital . Teaching I'm the director of the HCI MSc programme at UCL . I'm the module convenor for PSYC0101 Interaction Science . I'm External Examiner for the BSc Applied Psychology programme at the Dun Laoghaire Institute of Art, Design and Technology , Ireland. External Activities I'm Editor-in-Chief of International Journal of Human-Computer Studies . I've served as Papers Subcommittee Chair at CHI 2019 and CHI 2018 . I'm a member of the EPSRC Peer Review College . Research Publications Authors Title Year Publication Jake Rigby , Duncan Brumby , Sandy Gould , Anna Cox "I Can Watch What I Want": A Diary Study of On-Demand and Cross-Device Viewing 2018 TVX 2018, Conference paper (text), Seoul, South Korea Sandy Gould , Anna Cox , Duncan Brumby Influencing and Measuring Behaviour in Crowdsourced Activities 2018 Chapter Jake Rigby , Duncan Brumby , Anna Cox , Sandy Gould Old Habits Die Hard: A Diary Study of On-Demand Video Viewing 2018 CHI EA '18, Conference paper (text), New York (NY), USA Judith Borghouts , Duncan Brumby , Anna Cox Looking Up Information in Email: Feedback on Visit Durations Discourages Distractions 2018 CHI Conference on Human Factors in Computing Systems Extended Abstracts, Conference paper (text), Montreal, CA Duncan Brumby , CP Janssen, T Kujala, DD Salvucci Computational models of user multitasking 2018 Chapter NYP Wong, Jake Rigby , Duncan Brumby Game & Watch: Are "Let's Play" Gaming Videos as Immersive as Playing Games? 2017 CHI PLAY '17, Conference paper (text), Amsterdam, Netherlands Jake Rigby , Duncan Brumby , Anna Cox , Sandy Gould Film, interrupted: Investigating how mobile device notifications affect immersion during movies 2017 Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct, MobileHCI 17, Conference paper (text) Judith Borghouts , Duncan Brumby , Anna Cox Batching, Error Checking and Data Collecting: Understanding Data Entry in a Financial Office 2017 Proceedings of 15th European Conference on Computer-Supported Cooperative Work - Exploratory Papers, Reports of the European Society for Socially Embedded Technologies, Conference paper (text), Sheffield, UK Melanie Herrmann , Duncan Brumby , T Oreszczyn, XMP Gilbert Does data visualization affect users understanding of electricity consumption? 2017 Building Research and Information, Journal article Melanie Herrmann , Duncan Brumby , T Oreszczyn Watts your usage? A field study of householders literacy for residential electricity data 2017 Energy Efficiency, Journal article GD Farmer, CP Janssen, AT Nguyen, Duncan Brumby Dividing attention between tasks: Testing whether explicit payoff functions elicit optimal dual-task performance 2017 Cognitive Science, Journal article Kenny CW Liang, Rigby, Duncan Brumby , V Vinayagamoorthy Investigating the effect of relative time delay on companion screen experiences 2017 Adjunct Publication of the 2017 ACM International Conference on Interactive Experiences for TV and Online Video, TVX '17 Adjunct, Conference paper (text) Jake Rigby , Duncan Brumby , Sandy Gould , Anna Cox Media multitasking at home: A video observation study of concurrent TV and mobile device usage 2017 Proceedings of the 2017 ACM International Conference on Interactive Experiences for TV and Online Video, TVX 17, Conference paper (text) Duncan Brumby , Ann Blandford , Anna Cox , Sandy Gould , Paul Marshall Understanding people: A course on qualitative and quantitative HCI research methods 2017 Conference on Human Factors in Computing Systems - Proceedings, Conference paper (text) Sarah Wiseman , Anna Cox , Sandy Gould , Duncan Brumby Exploring the effects of non-monetary reimbursement for participants in HCI research 2017 Human Computation, Journal article Duncan Brumby , U Hahn Ignore Similarity If You Can: A Computational Exploration of Exemplar Similarity Effects on Rule Application 2017 FRONTIERS IN PSYCHOLOGY, Journal article Sandy Gould , Anna Cox , Duncan Brumby , Sarah Wiseman Short links and tiny keyboards: a systematic exploration of design trade-offs in link shortening services 2016 International Journal of Human-Computer Studies, Journal article Melanie Herrmann , Duncan Brumby , T Oreszczyn How much electricity do you use at home? An investigation into householders literacy for comprehending domestic electricity data 2016 Behave 2016: 4th European Conference on Behaviour and Energy Efficiency, Conference paper (text) Jake Rigby , Duncan Brumby , Anna Cox , Gould Watching movies on Netflix: Investigating the effect of screen size on viewer immersion 2016 Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct, MobileHCI 16, Conference paper (text) Sandy Gould , Anna Cox , Duncan Brumby Diminished Control in Crowdsourcing: An Investigation of Crowdworker Multitasking Behavior 2016 ACM Transactions on Computer - Human Interaction, Journal article Sandy Gould , Anna Cox , Duncan Brumby , A Wickersham Now Check Your Input: Brief Task Lockouts Encourage Checking, Longer Lockouts Encourage Task Switching 2016 Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, Journal article Duncan Brumby , Ann Blandford , Anna Cox , Sandy Gould , Paul Marshall Research Methods for HCI: Understanding People Using Interactive Technologies 2016 Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems, Journal article, New York, USA Duncan Brumby , Ann Blandford , Anna Cox , Sandy Gould , Paul Marshall Research Methods for HCI: Understanding People Using Interactive Technologies. 2016 CHI Extended Abstracts, Conference proceeding Sarah Wiseman , Judith Borghouts , D Grgic, Duncan Brumby , Anna Cox The Effect Of Interface Type On Visual Error Checking Behavior 2015 HFES 2015 International Annual Meeting, Conference paper (text), Los Angeles Judith Borghouts , F Soboczenski, Paul Cairns , Duncan Brumby Visualizing Magnitude: Graphical Number Representations Help Users Detect Large Number Entry Errors 2015 HFES 2015 International Annual Meeting, Conference paper (text), Los Angeles, CA Sandy Gould , Anna Cox , Duncan Brumby , Sarah Wiseman Home is Where the Lab is: A Comparison of Online and Lab Data From a Time-sensitive Study of Interruption 2015 Human Computation, Journal article CP Janssen, Sandy Gould , Simon Li , Duncan Brumby , Anna Cox Integrating knowledge of multitasking and interruptions across different perspectives and research methods 2015 INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES, Journal article CP Janssen, Duncan Brumby Strategic adaptation to task characteristics, incentives, and individual differences in dual-tasking 2015 PLoS One, Journal article X Chen, G Bailly, Duncan Brumby , A Oulasvirta, A Howes The Emergence of Interactive Behavior: A Model of Rational Menu Search. 2015 CHI, Conference paper (text) Duncan Brumby , S Zhuang Visual Grouping in Menu Interfaces. 2015 CHI, Conference paper (text) Sandy Gould , Anna Cox , Duncan Brumby Task Lockouts Induce Crowdworkers to Switch to Other Activities 2015 Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems, Journal article M Behrens, gen. Schieck A Fatah, Duncan Brumby Designing Media Architectural Interfaces for Interactions in Urban Spaces 2015 Chapter, Singapore Sandy Gould , Duncan Brumby , Anna Cox , G Fitzpatrick, J Hoonhout, D Lamas, E Law Methods for Human-Computer Interaction Research 2015 CHI EA '15: Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems, Journal article, New York, US Duncan Brumby , Anna Cox , J Chung, B Fernandes How does knowing what you are looking for change visual search behavior? 2014 CHI '14: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Journal article G Bailly, A Oulasvirta, Duncan Brumby , A Howes Model of visual search and selection time in linear menus. 2014 CHI '14: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Journal article M Bhmer, C Lander, S Gehring, Duncan Brumby , A Krger Interrupted by a phone call: Exploring designs for lowering the impact of call notifications for smartphone users 2014 CHI '14: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Journal article M Behrens, N Valkanova, AFG Schieck, Duncan Brumby Smart Citizen Sentiment Dashboard: A Case Study Into Media Architectural Interfaces. 2014 PerDis '14: Proceedings of the International Symposium on Pervasive Displays, Journal article AL Kun, Duncan Brumby , Z Medenica The Musical Road: Interacting with a Portable Music Player in the City and on the Highway. 2014 AutomotiveUI '14: Proceedings of the 6th International Conference on Automotive User Interfaces and Interactive Vehicular Applications, Journal article Sandy Gould , Anna Cox , Duncan Brumby Naturalistic Distributed Experimentation as a Source of New Insight 2014 Citizen + X: Volunteer-Based Crowdsourcing in Science, Public Health and Government, Journal article Duncan Brumby , A Tajadura-Jimnez, Toit H Du, Anna Cox , Harry Griffin Working with the television on: An investigation into media multitasking 2014 CHI EA '14: Proceedings of the Extended Abstracts of the ACM Conference on Human Factors in Computing Systems, Journal article Sandy Gould , Duncan Brumby , Anna Cox What does it mean for an interruption to be relevant? an investigation of relevance as a memory effect 2013 HFES 2013: Proceedings of the Annual Meeting of the Human Factors and Ergonomics Society, Journal article Sarah Wiseman , Duncan Brumby , Anna Cox , O Hennessy Tailoring number entry interfaces to the task of programming medical infusion pumps 2013 HFES 2013: Proceedings of the Annual Meeting of the Human Factors and Ergonomics Society, Journal article Duncan Brumby , Anna Cox , Jon Bird Too Much Email, Too Much Checking 2013 Conference paper (text), BCS-HCI 2013 Workshop: Habits in Human-Computer Interaction MGA Ament, Anna Cox , Ann Blandford , Duncan Brumby Making a task difficult: Evidence that device-oriented steps are effortful and error-prone 2013 JOURNAL OF EXPERIMENTAL PSYCHOLOGY-APPLIED, Journal article S Zhao, Duncan Brumby , M Chignell, D Salvucci, S Goyal Shared input multimodal mobile interfaces: Interaction modality effects on menu selection in single-task and dual-task environments 2013 INTERACTING WITH COMPUTERS, Journal article Duncan Brumby , Anna Cox , Jonathan Back , Sandy Gould Recovering from an interruption: Investigating speed-accuracy trade-offs in task resumption behavior 2013 Journal of Experimental Psychology: Applied, Journal article Y Zhou, Jon Bird , Anna Cox , Duncan Brumby Estimating Usage Can Reduce the Stress of Social Networking 2013 Conference paper (text), CHI2013 Workshop: Personal Informatics in the Wild, Hacking Habits for Health & Happiness Sarah Wiseman , O Hennessy, Anna Cox , Duncan Brumby The Language Of Numbers 2013 CHI 2012 Workshop: Grand Challenges In Text Entry, Conference paper (text), Paris, France Sandy Gould , Anna Cox , Duncan Brumby , Sarah Wiseman Assessing the viability of online interruption studies 2013 HCOMP-2014: Human Computation and Crowdsourcing, Works in Progress and Demonstrations, Journal article, Palo Alto, CA Sarah Wiseman , Anna Cox , Duncan Brumby Designing Devices With the Task in Mind: Which Numbers Are Really Used in Hospitals? 2013 Human Factors: The Journal of the Human Factors and Ergonomics Society, Journal article A Bradley, Duncan Brumby , Anna Cox , Jon Bird How to Manage Your Inbox: Is a Once a Day Strategy Best? 2013 BCS-HCI '13: Proceedings of the International BCS Human-Computer Interaction Conference, Journal article Sandy Gould , Anna Cox , Duncan Brumby Frequency and duration of self-initiated task-switching in an online investigation of interrupted performance 2013 HCOMP-2014: Human Computation and Crowdsourcing, Works in Progress and Demonstrations, Journal article, Palo Alto, CA M Traunmueller, AFG Schieck, Johannes Schning , Duncan Brumby The path is the reward: considering social networks to contribute to the pleasure of urban strolling. 2013 CHI EA '13: Proceedings of the Extended Abstracts of the ACM Conference on Human Factors in Computing Systems, Journal article Sarah Wiseman , Anna Cox , Duncan Brumby , Sandy Gould , S O'Carroll Using checksums to detect number entry error 2013 CHI '13: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Journal article, New York, NY, USA Duncan Brumby , Anna Cox , Jonathan Back , Sandy Gould Recovering from an interruption: Investigating speed-accuracy tradeoffs in task resumption strategy 2013 Journal of Experimental Psychology: Applied, Journal article Sandy Gould , Anna Cox , Duncan Brumby Using Graphical Representations to Support the Calculation of Infusion Parameters 2013 INTERACT 2013: Human-Computer Interaction, Journal article CP Janssen, A Howes, Duncan Brumby Towards optimal payoff manipulations 2012 ICCM 2012: Proceedings of the 11th International Conference on Cognitive Modeling, Journal article Sarah Wiseman , Anna Cox , Duncan Brumby A case for Number Entry 2012 CHI 2012 Workshop: Designing and Evaluating Text Entry Methods: 30th ACM Conference on Human Factors in Computing Systems, Conference paper (text), CHI 2012 Workshop: Designing and Evaluating Text Entry Methods CP Janssen, Duncan Brumby , R Garnett Natural Break Points: The Influence of Priorities and Cognitive and Motor Cues on Dual-Task Interleaving 2012 Journal of Cognitive Engineering and Decision Making, Journal article Duncan Brumby , V Seyedi An empirical investigation into how users adapt to mobile phone auto-locks in a multitask setting. 2012 MobileHCI '12: Proceedings of the 14th International Conference on Human-Computer Interaction with Mobile Devices and Services, Journal article Jonathan Back , Anna Cox , Duncan Brumby Choosing to interleave: Human error and information access cost 2012 CHI '12: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Journal article Duncan Brumby , Anna Cox , Rose Johnson , Yvonne Rogers Embedding the CHI Student Design Competition into Project-Based Learning 2012 Conference paper (text), CHI 2012 Workshop: A Contextualised Curriculum for HCI Sarah Wiseman , Anna Cox , Duncan Brumby Designing for the task: what numbers are really used in hospitals? 2012 CHI EA '12: Proceedings of the Extended Abstracts of the ACM Conference on Human Factors in Computing Systems, Journal article Sandy Gould , Duncan Brumby , Anna Cox , V Gonzlez, D Salvucci, N Taatgen Multitasking and interruptions: A SIG on bridging the gap between research on the micro and macro worlds 2012 CHI EA '12: Proceedings of the Extended Abstracts of the ACM Conference on Human Factors in Computing Systems, Journal article, New York, NY, USA CP Janssen, Duncan Brumby , A Howes Towards a better understanding of adaptive multitasking by individuals. 2012 CHI EA '12: Proceedings of the Extended Abstracts of the ACM Conference on Human Factors in Computing Systems, Journal article Paul Cairns , Anna Cox , Duncan Brumby , Harold Thimbleby Teaching HCI students to be researchers 2012 Conference paper (text), CHI 2012 Workshop: A Contextualised Curriculum for HCI H Huang, R Ruk?nas, MGA Ament, Paul Curzon , Anna Cox , Ann Blandford , Duncan Brumby Capturing the distinction between task and device errors in a formal model of user behaviour 2011 FMIS 2011: Formal Methods for Interactive Systems, Journal article Duncan Brumby , SCE Davies, CP Janssen, JJ Grace Fast or safe?: how performance objectives determine modality output choices while interacting on the move. 2011 CHI '11: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Journal article G Farmer, CP Janssen, Duncan Brumby How Long Have I Got? Making Optimal Visit Durations in a Dual-Task Setting. 2011 CogSci 2011: Proceedings of the Annual Conference of the Cognitive Science Society, Journal article CP Janssen, Duncan Brumby , J Dowell, N Chater, A Howes Identifying optimum performance trade-offs using a cognitively bounded rational analysis model of discretionary task interleaving 2011 Topics in Cognitive Science, Journal article CP Janssen, Duncan Brumby , J Dowell, N Chater A cognitively bounded rational analysis model of dual-task performance trade-offs 2010 ICCM 2010: Proceedings of the 10th International Conference on Cognitive Modeling, Journal article KA Tarling, Duncan Brumby Density guides visual search: Sparse groups are first even when slower 2010 HFES 2010: Proceedings of the Annual Meeting of the Human Factors and Ergonomics Society, Journal article CP Janssen, Duncan Brumby , R Garnett Natural break points: Utilizing motor cues when multitasking 2010 HFES 2010: Proceedings of the Annual Meeting of the Human Factors and Ergonomics Society, Journal article Duncan Brumby , Rosario N Del, CP Janssen When to switch? Understanding how performance tradeoffs shape dual-task strategy 2010 ICCM 2010: Proceedings of the 10th International Conference on Cognitive Modeling, Journal article CP Janssen, Duncan Brumby Strategic Adaptation to Performance Objectives in a Dual-Task Setting 2010 Cognitive Science, Journal article CP Janssen, Richard Young , MGA Ament, Jonathan Back , Duncan Brumby , Anna Cox , J Grace Cognitive modelling at the UCL Interaction Centre 2010 European ACT-R Workshop 2010, Conference paper (text), Proceedings of the European ACT-R Workshop 2010 U Hahn, M Prat-Sala, EM Pothos, Duncan Brumby Exemplar similarity and rule application 2010 Cognition, Journal article Jonathan Back , Duncan Brumby , Anna Cox Locked-out: Investigating the effectiveness of system lockouts to reduce errors in routine tasks 2010 CHI EA '10: Proceedings of the Extended Abstracts of the ACM Conference on Human Factors in Computing Systems, Journal article Anna Cox , Duncan Brumby , Jonathan Back Workshop on understanding, predicting and mitigating error in routine procedural tasks 2010 CogSci 2010: Proceedings of the Annual Conference of the Cognitive Science Society, Journal article MGA Ament, Anna Cox , Ann Blandford , Duncan Brumby Working memory load affects device-specific but not task-specific error rates 2010 CogSci 2010: Proceedings of the Annual Conference of the Cognitive Science Society, Journal article S Schlgl, Duncan Brumby Do logos and brand labels impact peoples selection behaviour in web search? 2009 I-HCI 2009: Proceedings of the Irish HCI 2009 Conference, Journal article Duncan Brumby , DD Salvucci, A Howes Focus on driving: how cognitive constraints shape the adaptation of strategy when dialing while driving. 2009 CHI '09: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Journal article Duncan Brumby , A Howes Strategies for guiding interactive search: An empirical investigation into the consequences of label relevance for assessment and selection 2008 Human-Computer Interaction, Journal article Duncan Brumby , DD Salvucci, W Mankowski, A Howes A cognitive constraint model of the effects of portable music-player use on driver performance 2007 HFES 2007: Proceedings of the Annual Meeting of the Human Factors and Ergonomics Society, Journal article Duncan Brumby , DD Salvucci, A Howes An empirical investigation into dual-task trade-offs while driving and dialing 2007 BCS-HCI '07: Proceedings of the British HCI Group Annual Conference on People and Computers Volume 2, Journal article Duncan Brumby , A Howes, DD Salvucci A cognitive constraint model of dual-task trade-offs in a highly dynamic driving task. 2007 CHI '07: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Journal article Duncan Brumby , DD Salvucci, A Howes Dialing while driving? A bounded rational analysis of concurrent multi-task behavior 2007 ICCM 2007: Proceedings of the 8th international conference on cognitive modeling, Journal article DD Salvucci, D Markley, M Zuber, Duncan Brumby iPod distraction: effects of portable music-player use on driver performance. 2007 CHI '07: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Journal article Duncan Brumby , U Hahn Rules and exemplars in categorization: A computational exploration 2007 CogSci 2007: Proceedings of the Annual Conference of the Cognitive Science Society, Journal article Duncan Brumby , A Howes Good Enough But I'll Just Check: Web-page Search as Attentional Refocusing. 2004 ICCM 2004: Proceedings of the 6th International Conference on Cognitive Modeling, Journal article Duncan Brumby An empirical investigation into strategies for guiding interactive search. N/A Thesis / Dissertation Parent Departments University College London UCL Computer Science UCL Division of Psychology and Language Sciences Collaborations ICRI UCL Institute of Digital Health Global Disability Innovation Hub Connect with us About UCLIC Meet UCLIC people UCL Interaction Centre - University College London, 2nd floor 66-72 Gower Street, London, WC1E 6BT Tel: +44 (0) 20 3108 7050 2001-2019 UCLIC Disclaimer Freedom of Information Accessibility Privacy Cookies Contact Us Intranet Top diff --git a/src/data/compiled_bios/1009.txt b/src/data/compiled_bios/1009.txt new file mode 100644 index 0000000000..3c8f6cdf85 --- /dev/null +++ b/src/data/compiled_bios/1009.txt @@ -0,0 +1 @@ + Bryson Research Group Computational Systems Biology Overview Teaching Suggested Projects Biography Publications Computational Systems Biology Our lab applies computational and mathematical techniques to understand biological systems that generally have clinical relevance. One area of research is modelling bacteria at the atomic, molecular and population levels. Bacteria are relatively simple and so we can attempt to gain a mechanistic-level understanding of their working. Gaining such an understanding is clinicially important in terms of finding new approaches to tackle drug-resistant strains. A different area of our research looks at more complex systems where gaining a mechanistic understanding is not viable. In particular we are interested in neurodegenerative diseases such as Alzheimer's, Parkinson's and Huntington's disease. We approach understanding these complex systems by integrating different types of high-throughput data and applying a variety of machine learning and network-based approaches to search for patterns in the data that could suggest different disease mechanisms. Again we try to integrate data both at the molecular level within neurons (e.g. genomics and transcriptomics data) and also at the population level (i.e. whole brain using MRI and EEG data). Modelling the quorum mechanism of Streptococcus pneumonia The aim of this project is to understand changes in the population level behaviour of Streptococcus pneumonia (such as competence, fractricide and biofilm formation) from changes occurring at the molecular level within the quorum signalling pathway. To accomplish this we are integrating genomic data, cis-regulatory motif, microarray, ODE-based modelling of the signalling and gene regulation pathways and agent-based modelling approaches. This is a collaborative project with Dr Bambos Charalambous in Department of Infection. Understanding the ER/mitochondrial intra-cellular signalling pathways in human Signalling between the ER and mitochondria under stress conditions are important mechanisms within cancer and neurodegeration - leading to either adaptation or apoptosis. The aim of this project is to determine pathways involved in these processes by applying machine learning to public microarray data over cancer cell lines. Any tentative pathways will then be experimentally confirmed within cell cultures. This is a collaborative CoMPLEX project with Dr Gyorgy Szabadkai in Cell & Development Biology. Modelling the purine metabolic pathway in human. Purine metabolism is implicated in a variety of cancers such as acute myeloid cancer where drug treatments which inhibit IMPDH, one of the key purine metabolic enzymes, have been shown to stop cell proliferation. The aim of this project is to develop ODE models, parameterized using literature and RNASeq data, to predict the overall metabolic effects of inhibiting particular enzymes, potentially revealing other drug targets within the network. This is a collaborative CoMPLEX project with Dr Geraint Thomas in Cell & Development Biology. Department of Computer Science University College London Gower Street London WC1 6BT diff --git a/src/data/compiled_bios/101.txt b/src/data/compiled_bios/101.txt new file mode 100644 index 0000000000..112e101295 --- /dev/null +++ b/src/data/compiled_bios/101.txt @@ -0,0 +1 @@ +Jennifer A. Lewis is the Hansjrg Wyss Professor of Biologically Inspired Engineering at the Harvard John A. Paulson School of Engineering and Applied Sciences and the Jianming Yu Professor of Arts and Sciences. She is also a Core Faculty Member and co-Lead of the 3D Organs Initiative at the Wyss Institute for Biologically Inspired Engineering at Harvard.She earned a Sc.D. in Ceramic Science from the Massachusetts Institute of Technology. She is an elected member of the National Academy of Sciences, National Academy of Engineering, National Academy of Inventors, and the American Academy of Arts and Sciences. She has received numerous distinctions, including the 2017 Lush Science Prize, the Materials Research Society Medal, the Friedburg, Sosman, and Brunauer Awards from the American Ceramic Society, and the Langmuir Lecture Award from the American Chemical Society.Jennifer has made pioneering contributions to the directed assembly of soft functional, structural and biological materials. Her work integrates materials science, additive manufacturing, bioengineering, and soft matter physics to design and assemble synthetic and living materials with controlled composition, architecture, and properties across multiple length scales (~100 nm - 1 mm). Specifically, her team and their collaborators have created new classes of printed electronics, soft robotics, shape-morphing matter, and vascularized organ-specific tissues.Additionally, she has been actively engaged in Science, Technology, Engineering, and Mathematics (STEM) education and outreach for nearly three decades and has recently co-founded two companies that are commercialling advances from her lab. diff --git a/src/data/compiled_bios/1010.txt b/src/data/compiled_bios/1010.txt new file mode 100644 index 0000000000..f8a13e942a --- /dev/null +++ b/src/data/compiled_bios/1010.txt @@ -0,0 +1 @@ + Fabio Caccioli Role Lecturer Programme Director and Admissions Tutor, MSc Financial Risk Management Office GS4.06 Office Location University College London Dept. of Computer Science 66-72 Gower Street London WC1E 6EA United Kingdom Tel +44 (0)20 3108 7104 (Direct Dial) Internal 57104 Fax +44 (0)20 7387 1397 Email F.Caccioli (at) cs.ucl.ac.uk Postal Address University College London Dept. of Computer Science Gower Street London WC1E 6BT United Kingdom Group Financial Computing and Analytics Personal Pages (None) diff --git a/src/data/compiled_bios/1011.txt b/src/data/compiled_bios/1011.txt new file mode 100644 index 0000000000..298da4b2de --- /dev/null +++ b/src/data/compiled_bios/1011.txt @@ -0,0 +1 @@ + DEPARTMENT OF COMPUTER SCIENCE Dr. Licia Capra Home Profile Research Publications Teaching Professor of Pervasive Computing Departmental Tutor Postal address: Department of Computer Science University College London Gower Street, London WC1E 6BT, UK Office : GS 3.07 @ 66-72 Gower Street Phone : +44 20 3108 7087 Email: l.capra@ucl.ac.uk Office Hours Academic year 2018-2019: Thursdays 5pm-6pm (please email ahead) News! Paper " App Store Effects on Software Engineering Practices " by A. A. Al-Subaihin, F. Sarro, S. Black, M. Harman and myself to appear in IEEE Transactions on Software Engineering diff --git a/src/data/compiled_bios/1012.txt b/src/data/compiled_bios/1012.txt new file mode 100644 index 0000000000..d7dc6ec933 --- /dev/null +++ b/src/data/compiled_bios/1012.txt @@ -0,0 +1 @@ + Benny Chain Role Professor of Computational Immunology Office TBA Office Location University College London Dept. of Computer Science Gower Street London WC1E 6BT United Kingdom Tel +44 (0)20 7679 TBA (Direct Dial) Internal TBA Fax +44 (0)20 7387 1397 Email B.Chain (at) cs.ucl.ac.uk Postal Address University College London Dept. of Computer Science Gower Street London WC1E 6BT United Kingdom Group Intelligent Systems Personal Pages (None) diff --git a/src/data/compiled_bios/1013.txt b/src/data/compiled_bios/1013.txt new file mode 100644 index 0000000000..85933f0934 --- /dev/null +++ b/src/data/compiled_bios/1013.txt @@ -0,0 +1 @@ + Robert Chatley Role Principal Teaching Fellow Office GS1.04B Office Location University College London Dept. of Computer Science 66-72 Gower Street London WC1E 6EA United Kingdom Tel +44 (0)20 7679 TBA (Direct Dial) Internal TBA Fax +44 (0)20 7387 1397 Email R.Chatley (at) cs.ucl.ac.uk Postal Address University College London Dept. of Computer Science Gower Street London WC1E 6BT United Kingdom Group Software Systems Engineering Personal Pages (None) diff --git a/src/data/compiled_bios/1014.txt b/src/data/compiled_bios/1014.txt new file mode 100644 index 0000000000..5e5254eb66 --- /dev/null +++ b/src/data/compiled_bios/1014.txt @@ -0,0 +1 @@ + Youngjun Cho Role Lecturer in Global Disability Innovation Office TBA Office Location University College London Dept. of Computer Science Gower Street London WC1E 6BT United Kingdom Tel +44 (0)20 7679 TBA (Direct Dial) Internal TBA Fax +44 (0)20 7387 1397 Email Youngjun.Cho (at) cs.ucl.ac.uk Postal Address University College London Dept. of Computer Science Gower Street London WC1E 6BT United Kingdom Group Human Centred Systems Personal Pages (None) diff --git a/src/data/compiled_bios/1015.txt b/src/data/compiled_bios/1015.txt new file mode 100644 index 0000000000..db2d0e8d27 --- /dev/null +++ b/src/data/compiled_bios/1015.txt @@ -0,0 +1 @@ + Christopher D. Clack Login Christopher D. Clack Overview Biography News & Highlights Research Smart Contracts Publications Publications List (with download links) Link to Google Scholar Invited Talks and Conference Organisation Leading Change Appointments and Affiliations Teaching Contact Overview Dr. Christopher D. Clack, ScD Associate Professor Centre for Blockchain Technologies Department of Computer Science,UCL Joint Field Chief Editor, Frontiers in Blockchain Founder, Thomson-Reuters Laboratory at UCL Smart Contracts Clack is an expert in Smart Contracts 1 for distributed ledgers and blockchains, and inventor of Smart Contract Templates 2,3 for smart derivatives contracts. 4 1 e.g. Temporal Aspects of Smart Contracts for Financial Derivatives , C. D. Clack and G. Vanca. LNCS 11247:339-355. 2018 . Available at: [Springer] , arXiv:1805.11677, and [this local link] . [BibTeX] 2 Smart Contract Templates:legal semantics and code validation , C. D. Clack. Journal of Digital Banking 2(4)338-352 2018 . Local Link: [here] . [BibTeX] 3 Smart Contract Templates: foundations, design landscape and research directions , C.D.Clack, V.A.Bakshi and L.Braine. 2016 . Available at: arXiv:1608.00771. Local link: [here] . [BibTeX] 4 A blockchain grand challenge: smart financial derivatives , C. D. Clack, Frontiers in Blockchain, 2018 . Available [here] . [BibTeX] University College London - Gower Street - London - WC1E 6BT - +44 (0)20 7679 2000 Powered by SoftForge loading diff --git a/src/data/compiled_bios/1016.txt b/src/data/compiled_bios/1016.txt new file mode 100644 index 0000000000..95a4824761 --- /dev/null +++ b/src/data/compiled_bios/1016.txt @@ -0,0 +1 @@ + David Clark Reader in Program Analysis Software Systems Engineering Group Department Of Computer Science University College London Research Publications Teaching Accidents Contact me diff --git a/src/data/compiled_bios/1017.txt b/src/data/compiled_bios/1017.txt new file mode 100644 index 0000000000..d779a7f1c4 --- /dev/null +++ b/src/data/compiled_bios/1017.txt @@ -0,0 +1 @@ + Byron Cook Professor of Computer Science Contact: byroncook@gmail.com Byron Cook is Professor of Computer Science at University College London (UCL) and Director of Automated Reasoning at Amazon Web Services . Byron's interests include computer/network security, program analysis/verification, programming languages, theorem proving, logic, hardware design, operating systems, and biological systems. Byron is the founder and leader of Amazon's Automated Reasoning Group (ARG). Highlights and some history For publically available information on Amazon's Automated Reasoning Group, the best place to start is to read: Formal reasoning about the security of Amazon Web Services Byron Cook CAV 2018 Or watch this talk: Formal reasoning about the security of Amazon Web Services Byron Cook FLoC plenary lecture 2018 Or read this press article: Amazon tests out two tools to help keep its cloud secure Wired magazine Or listen to this interview: Next Generation Security with Automated Reasoning, an Artificial Intelligence Technology AWS Podcast #266 For more information see: https://aws.amazon.com/security/provable-security/ Byron's list of all known public information about ARG Byron was a researcher at Microsoft Research (joint appointment with UCL) from 2004-2014. Check out Byron's old Microsoft Research website . At Microsoft Research Byron started the TERMINATOR project , which made a program termination prover that worked on industrially relevant programs, such as Windows device drivers. TERMINATOR lives on outside of Microsoft as an open-source project called T2 . For a presentation about this work watch this lecture . Just for fun you can watch Byron giving a live demo of TERMINATOR in this interview . Byron used to hang out a lot with the East London Massive . Byron was a founder of the SLAyer project ( github ). SLAyer was one of the forerunners to the Infer tool Byron was also a founding member of the Bio Model Analyzer (BMA) project, which developed a tool that facilitates the modelling and analysis of genetic signalling pathways. Byron was one of the developers of the SLAM software model checker. As a member of the Windows OS kernel team 2002-04, Byron developed a Windows product called Static Driver Verifier , which used SLAM to automatically finds bugs in Windows OS device drivers. Byron, together with Shuvendu Lahiri started Microsoft's first SMT decision procedure project, called Zapato. Zapato was the decision procedure used in the initial release of SLAM . Zapato eventually led to Madan Musuvathi 's Zap decision procedure, which has since been replaced by Nikolaj Bjorner and Leonardo de Moura 's Z3 . Before joining Microsoft, Byron worked at Prover Technology , where he helped develop and apply the symbolic model checker Prover SL , and SAT solver Prover CL . These tools were used commercially in a variety of applications, including the verification of microprocessors, aircraft software, railway switching, and embedded systems. Byron's first taste of industrial formal verification was back in 1998-99 when he worked at Intel's Strategic CAD Labs (archived). Former PhD Students Alexey Gotsman , Eric Koskinen , Heidy Khlaaf , Kaustubh Nimkar , Paul Subotic . Publications Formal reasoning about the security of Amazon Web Services Byron Cook CAV 2018 Model checking boot code from AWS data centers B. Cook, K. Khazem, D. Kroening, S. Tasiran, M. Tautschnig and M. Tuttle. CAV 2018 Continuous formal verification of Amazon s2n A. Chudnov, N. Collins, B. Cook, J. Dodds, B. Huffman, S. Magill, C. MacCarthaigh, E. Mertens, E. Mullen, S. Tasiran, A. Tomb, and E. Westbrook CAV 2018 Semantic-based Automated Reasoning for AWS Access Policies using SMT John Backes, Pauline Bolignano, Byron Cook, Catherine Dodge, Andrew Gacek, Kasper Luckow, Neha Rungta, Oksana Tkachuk, Carsten Varming FMCAD 2018 SideTrail: Verifying Time-Balancing of Cryptosystems K. Athanasiou, B. Cook, M. Emmi, C. MacCarthaigh, D. Schwartz-Narbonne and S. Tasiran VSTTE 2018 Verifying increasingly expressive temporal logics for infinite-state systems B. Cook, H. Khlaaf, and N. Piterman. Journal of the the ACM, 64, 2, Article 15 (May 2017), 39 pages. T2: Temporal property verification M. Brockshmidt, B. Cook, S. Ishtiaq, H. Khlaaf, and N. Piterman. TACAS 2016 Learning to decipher the heap for program verification Marc Brockschmidt, Yuxin Chen, Byron Cook, Pushmeet Kohli, and Daniel Tarlow. Workshop on Constructive Machine Learning at ICML 2015. Drug target optimization in chronic myeloid leukemia using innovative computational platform R. Chuang, B. Hall, D. Benque, B. Cook, S. Ishtiaq, N. Piterman, A. Taylor, M. Vardi, S. Koschmieder, B. Gottgens, and J. Fisher Scientific Reports, 5:8190, Nature Publishing Group, February 2015 On Automation of CTL* Verification for Infinite-State Systems B. Cook, H. Khlaaf, and N. Piterman. CAV 2015 Fairness for infinite-state systems B. Cook, H. Khlaaf, and N. Piterman. TACAS 2015 Spatial Interpolants A. Albarghouthi, J. Berdine, B. Cook, and Z. Kincaid ESOP 2015 Relations Tauba Auerbach, Byron Cook, David Reinfurt Bulletins of the Serving Library Disproving termination with overapproximation Byron Cook, Carsten Fuhs, Kaustubh Nimkar, Peter O'Hearn FMCAD 2014 Faster temporal reasoning for infinite-state programs Byron Cook, Heidy Khlaaf, Nir Piterman FMCAD 2014 Proving nontermination via safety Hong-Yi Chen, Byron Cook, Carsten Fuhs, Kaustubh Nimkar, Peter O'Hearn TACAS 2014 Finding instability in biological models Byron Cook, Jasmin Fisher, Benjamin Hall, Samin Ishtiaq, Garvit Juniwal, Nir Piterman CAV 2014 Mathematical artifacts (re: Tauba Auerbach) Byron Cook Parkett 94, 2014 Better termination proving through cooperation Marc Brockschmidt, Byron Cook, Carsten Fuhs CAV 2013 Reasoning about nondeterminism in programs Byron Cook and Eric Koskinen PLDI 2013 Ramsey vs. lexicographic termination proving Byron Cook, Abigail See, and Florian Zuleger TACAS 2013 At the interface of biology and computation Alex S. Taylor, Nir Piterman, Samin Ishtiaq, Jasmin Fisher, Byron Cook, Caitlin Cockerton, Sam Bourton, David Benque CHI 2013 Ranking function synthesis for bit-vector relations Byron Cook, Daniel Kroening, Philipp Rummer, Christoph Wintersteiger Formal Methods in System Design, 2013 Proving termination of nonlinear command sequences Domagoj Babic, Byron Cook, Alan J. Hu, Zvonimir Rakamaric Formal Aspects of Computing (special issue from SEFM), 2013 BMA: Visual Tool for Modeling and Analysis of Biological Networks (tool paper) David Benque, Sam Bourton, Caitlan Cockerton, Byron Cook, Jasmin Fisher, Samin Ishtiaq, Nir Piterman, Alex Taylor, Moshe Vardi CAV 2012 Temporal property verification as a program analysis task (extended version) Byron Cook, Eric Koskinen, Moshe Vardi Formal Methods in System Design (special issue from CAV), 2012 Proving program termination (Review article) Byron Cook, Andreas Podelski, Andrey Rybalchenko Communications of the ACM, Volume 54 Issue 5, May 2011 Temporal property verification as a program analysis task Byron Cook, Eric Koskinen, Moshe Vardi CAV'11 [International Conference on Computer-Aided Verification] (Snowbird) SLAyer: Memory safety for systems-level code Josh Berdine, Byron Cook, Samin Ishtiaq CAV'11 [International Conference on Computer-Aided Verification] (Snowbird) Making prophecies with decision predicates Byron Cook and Eric Koskinen POPL'11 [Symposium on Principles of Programming Languages] (Austin) Tractable reasoning in a fragment of separation logic Byron Cook, Christoph Hasse, Joel Ouaknine, Matthew Parkinson, James Worrell CONCUR'11 [International conference on concurrency theory] (Aachen) Proving stabilization of biological systems Byron Cook, Jasmin Fisher, Elzbieta Krepska, Nir Piterman VMCAI'11 [Verification, model checking, and abstract interpretation] (Austin) Precision and the conjunction rule in concurrent separation logic Alexey Gotsman, Josh Berdine, Byron Cook MFPS'11 [Conference on the Mathematical Foundations of Programming Semantics] (Pittsburgh) Ranking function synthesis for bit-vector relations Byron Cook, Daniel Kroening, Philipp Rummer, and Christoph Wintersteiger TACAS'10 [Tenth International Conference on Tools and Algorithms for the Construction and Analysis of Systems] Finding heap-bounds for hardware synthesis Byron Cook, Ashutosh Gupta, Stephen Magill, Andrey Rybalchenko, Jiri Simsa, Satnam Singh, Viktor Vafeiadis FMCAD'09 [Formal Methods in Computer Aided Design] (Austin) Summarization for termination: No return! Byron Cook, Andreas Podelski, Andrey Rybalchenko FMSD (2009) 35:369-387 Proving that non-blocking algorithms don't block Alexey Gotsman, Byron Cook, Matthew Parkinson, and Viktor Vafeiadis POPL'09 [Symposium on Principles of Programming Languages] (Savannah) Principles of program termination (DRAFT) Byron Cook Notes from the 2008 Marktoberdorf summer school Proving conditional termination Byron Cook, Sumit Gulwani, Tal Lev-Ami, Andrey Rybalchenko, and Mooly Sagiv CAV'08 [International Conference on Computer-Aided Verification] (Princeton) Scalable shape analysis for systems code Hongseok Yang, Oukseh Lee, Josh Berdine, Cristiano Calcagno, Byron Cook, Dino Distefano, and Peter O'Hearn CAV'08 [International Conference on Computer-Aided Verification] (Princeton) Ranking abstractions Aziem Chawdhary, Byron Cook, Sumit Gulwani, Mooly Sagiv, and Hongseok Yang ESOP'08 [European Symposium on Programming] (Budapest) Verification of Boolean programs with unbounded thread creation Byron Cook, Daniel Kroening, and Natasha Sharygina Journal of Theoretical Computer Science, Vol. 388, 2007, pp. 227-242 Predicate abstraction via symbolic decision procedures Shuvendu Lahiri, Thomas Ball and Byron Cook Journal of Logical Methods in Computer Science, Vol. 3, 2007, pp. 1-20 Proving thread termination Byron Cook, Andreas Podelski, and Andrey Rybalchenko PLDI'07 [Conference on Programming Language Design and Implementation] (San Diego) Thread-modular shape analysis Alexey Gotsman, Josh Berdine, Byron Cook, and Mooly Sagiv PLDI'07 [Conference on Programming Language Design and Implementation] (San Diego) Local reasoning for storable locks and threads Alexey Gotsman, Josh Berdine, Byron Cook, Noam Rinetzky, and Mooly Sagiv APLAS'07 [Asian Symposium on Programming Languages and Systems] (Singapore) Shape analysis for composite data structures Josh Berdine, Cristiano Calcagno, Byron Cook, Dino Distefano, Peter O'Hearn, Thomas Wies, and Hongseok Yang CAV'07 [International Conference on Computer-Aided Verification] (Berlin) Proving termination by divergence Domagoj Babic, Byron Cook, Alan Hu, Zvonimir Rakamaric SEFM'07 [ International Conference on Software Engineering and Formal Methods] (London) Arithmetic strengthening for shape analysis Stephen Magill, Josh Berdine, Edmund Clarke, and Byron Cook. SAS'07 [International Static Analysis Symposium] (Denmark) Proving that programs eventually do something good Byron Cook, Alexey Gotsman, Andreas Podelski, Andrey Rybalchenko, and Moshe Vardi POPL'07 [Symposium on Principles of Programming Languages] (Nice) Variance analyses from invariance analyses Josh Berdine, Aziem Chawdhary, Byron Cook, Dino Distefano, and Peter O'Hearn POPL'07 [Symposium on Principles of Programming Languages] (Nice) Shape analysis by graph decomposition Roman Manevich, Josh Berdine, Byron Cook, Ganesan Ramalingam, and Mooly Sagiv TACAS'07 [International Conference on Tools and Algorithms for the Construction and Analysis of Systems] (Braga) Automatic termination proofs for programs with shape-shifting heaps Josh Berdine, Byron Cook, Dino Distefano, and Peter O'Hearn CAV'06 [International Conference on Computer-Aided Verification] (Seattle) Terminator: Beyond safety (short tool description paper) Byron Cook, Andreas Podelski, and Andrey Rybalchenko CAV'06 [International Conference on Computer-Aided Verification] (Seattle) Repair of Boolean programs with an application to C Andreas Griesmayer, Roderick Bloem, and Byron Cook CAV'06 [International Conference on Computer-Aided Verification] (Seattle) Termination proofs for systems code Byron Cook, Andreas Podelski, and Andrey Rybalchenko PLDI'06 [Conference on Programming Language Design and Implementation] (Ottawa) Thorough static analysis of device drivers Thomas Ball, Ella Bounimova, Byron Cook, Vladimir Levin, Jakob Lichtenberg, Con McGarvey, Bohus Ondrusek, Sriram K. Rajamani, Abdullah Ustuner EuroSys'06 [European Systems Conference] (Leuven) Over-approximating Boolean programs with unbounded thread creation Byron Cook, Daniel Kroening, Natasha Sharygina FMCAD'06 [Formal Methods in Computer Aided Design] (San Jose) Interprocedural shape analysis with separated heap abstractions Alexey Gotsman, Josh Berdine, and Byron Cook SAS'06 [International Static Analysis Symposium] (Seoul) Abstraction refinement for termination Byron Cook, Andreas Podelski, Andrey Rybalchenko SAS'05 [International Static Analysis Symposium] (London) Using Stalmarck's algorithm to prove inequalities Byron Cook, Georges Gonthier ICFEM'05 [International Conference on Formal Engineering Methods] (Manchester) Symbolic model checking for asynchronous Boolean programs Byron Cook, Daniel Kroening, Natasha Sharygina SPIN'05 (San Francisco) Predicate abstraction via symbolic decision procedures Shuvendu Lahiri, Thomas Ball and Byron Cook CAV'05 [International Conference on Computer-Aided Verification] (Edinburgh) Cogent: Accurate theorem proving for program verification (short tool description paper) Byron Cook, Daniel Kroening, Natasha Sharygina CAV'05 [International Conference on Computer-Aided Verification] (Edinburgh) Zapato: Automatic theorem proving for predicate abstraction refinement (short tool description paper) Thomas Ball, Byron Cook, Shuvendu K. Lahriri, and Lintao Zhang CAV'04 [International Conference on Computer-Aided Verification] (Boston) Refining approximations in software predicate abstraction Thomas Ball, Byron Cook, Satyaki Das, and Sriram K. Rajamani TACAS'04 [Tenth International Conference on Tools and Algorithms for the Construction and Analysis of Systems] A symbolic approach to predicate abstraction Shuvendu K. Lahiri, Randal E. Bryant, and Byron Cook CAV'03 [International Conference on Computer-Aided Verification] (Boulder) Design automation with mixtures of proof strategies for propositional logic Gunnar Andersson, Per Bjesse, Byron Cook and Ziyad Hanna IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Vol. 22(8) 2003 A proof engine approach to solving combinational design automation problems Gunnar Andersson, Per Bjesse, Byron Cook, and Ziyad Hanna DAC'02 [Design Automation Conference] (Las Vegas) A framework for microprocessor correctness statements Mark Aagaard, Byron Cook, Nancy Day, and Robert Jones International Journal on Software Tools for Technology Transfer, Vol. 4(3), 2003 A framework for microprocessor correctness statements Mark Aagaard, Byron Cook, Nancy Day, and Robert Jones CHARME'01 [Correct Hardware Design and Verification Methods] (Edinburgh) Combining stream-based and state-based verification techniques for microarchitectures Mark Aagaard, Byron Cook, and Nancy Day FMCAD'00 [International Conference on Formal Methods in Computer Aided Design] (Austin) Formal verification of explicitly parallel microprocessors Byron Cook, John Launchbury, John Matthews, and Dick Kieburtz CHARME'99 [Conference on Correct Hardware Design and Verification Methods] (Bad Herrenalb) On embedding a microarchitectural design language within Haskell John Launchbury, Jeff Lewis and Byron Cook ICFP'99 [International Conference on Functional Programming] (Paris) Specifying superscalar microprocessors in Hawk Byron Cook, John Launchbury, and John Matthews 1998 Workshop on Formal Techniques for Hardware (Marstrand) Microprocessor specification in Hawk John Matthews, John Launchbury, and Byron Cook ICL'98 [International Conference on Computer Languages] (Chicago) Disposable memo functions Byron Cook and John Launchbury 1997 Haskell Workshop Proceedings (Amsterdam) Past and current projects Automated Reasoning Group (ARG) Tiros Zelkova T2 and the original TERMINATOR (archived) East London Massive (archived) Bio Model Analyzer (BMA) SLAyer Static Driver Verifier SLAM Prover SL (archived) Prover CL (archived) Hawk (archived) Press Next Generation Security with Automated Reasoning, an Artificial Intelligence Technology AWS Podcast #266 Amazon tests out two tools to help keep its cloud secure Wired magazine By Lily Hay Newman July, 2018 How Do You Explain The Unreasonable Effectiveness Of Cloud Security? highscalability.com, September 2018 Amazon Adds Crypto-Based Security Tools pymnts.com, September 2018 Why the blue screen of death no longer plagues Windows users ZDNet By Nick Heath September, 2013 Computing Cancer Nature By Neil Savage November, 2012 Geek of the week Simple Talk By Richard Morris September, 2010 A Sign of the Times Wired By Cameron Bird December, 2009 A Good Sign Science By Angela Saini July, 2009 Optic Nerve Vogue ByDodie Kazanjain January, 2009 All Shook Down San Francisco Weekly By Hiya Swanhuyser December 28, 2008 Inside Terminator channel9.msdn.com By Charles Torre September, 2007 Using Proofs to Catch System Hangs Before They're Born channel9.msdn.com By Charles Torre July, 2007 Send in the Terminator By Gary Stix Scientific American December, 2006 Testers aim to kill off dreaded blue screens By Mary Branscombe Financial Times November, 2006 Terminator tackles an impossible task By Rob Knies Microsoft Research News September, 2006 Microsoft bug-checking tools promise fewer crashes By Joris Evers CNET May, 2006 Microsoft's secret bug squasher By Simson Garfinkel Wired November, 2005 Building a better bug-trap The Economist June, 2003 Researching a path to fewer bugs By Patrick Meader Visual Studio Magazine February, 2003 Recorded presentations Formal reasoning about the security of Amazon Web Services Place: FLoC Plenary Date: July 16, 2018 Materials: Video Formal reasoning about the security of Amazon Web Services Place: OOPSLA/SPLASH 2018 keynote lecture Date: November 9, 2018 Materials: Video Automated Formal Reasoning About AWS Systems Place: AWS Re:Invent Date: November 29, 2016 Materials: Video Automatically Proving Program Termination (and more) Place: University of Colorado Date: October 24, 2013 Materials: Video We can prove termination. Now what? Place: Workshop on Software Correctness and Reliability 2013 Date: October 7, 2013 Materials: Video Automatically Proving Concurrent Programs Correct Place: Microsoft TechFest'07 Date: March 8th 2007 Materials: Video Variance Analyses from Invariance Analyses Place: Microsoft Research, Redmond Date: August 8th 2006 Materials: Video Automatically proving the termination of C programs Place: Isaac Newton Institute for Mathematical Sciences Date: February 3rd 2006 Materials: slides and audio Applications of Automated Reasoning Place: Microsoft TechFest'05 Date: March 8th 2005 Materials: Video Still want more information? You can find out all of the details about Byron in his CV/Resume . Cool things Freshly minted records Minafesto diff --git a/src/data/compiled_bios/1018.txt b/src/data/compiled_bios/1018.txt new file mode 100644 index 0000000000..26bf1d0dbf --- /dev/null +++ b/src/data/compiled_bios/1018.txt @@ -0,0 +1 @@ + Enrico Costanza Role Lecturer Office GS2.09 Office Location University College London Dept. of Computer Science 66-72 Gower Street London WC1E 6EA United Kingdom Tel +44 (0)20 3108 7181 (Direct Dial) Internal 57181 Fax +44 (0)20 7387 1397 Email E.Costanza (at) cs.ucl.ac.uk Postal Address University College London Dept. of Computer Science Gower Street London WC1E 6BT United Kingdom Group UCLIC Personal Pages (None) diff --git a/src/data/compiled_bios/1019.txt b/src/data/compiled_bios/1019.txt new file mode 100644 index 0000000000..7c7d30f2fc --- /dev/null +++ b/src/data/compiled_bios/1019.txt @@ -0,0 +1 @@ + Dr Nicolas T. Courtois Contact Details: Computer Science Room 6.18 Malet Place Engineering Building University College London Gower Street London WC1E 6BT Tel: +44 20 7679 3713 Fax: + 44 20 7387 1397 Mobile/text: +44 739 ... Email: Initial.FamilyName (ATsign) cs.ucl.ac.countrycode My PGP key Introduction: I have been lecturing atUniversity College London since2006. At UCL we have a specialist M.Sc. programme in Information Security . Teaching: Currently I teach the Applied Crypto and Cryptanalalysis COMP0058 course. Here is my blog which has some older and 100% public reaching resources about: [ Smart Cards and Applied Cryptography ] [ Computer Security ] [ Cryptanalysis ] (more are at Moodle for enrolled students only). Office hours since Jan 2019: Tuesday15h00-17h30, in Computer Science 6.18. Research: My research interests: see this page and this UCL research portrait and this video interview from 2015. Publications: [ @DBLP ] [ In UCL Database ] [ @Personal Blog ] [ @Google Scholar ] Last update 25/09/2015 diff --git a/src/data/compiled_bios/102.txt b/src/data/compiled_bios/102.txt new file mode 100644 index 0000000000..393d2cb887 --- /dev/null +++ b/src/data/compiled_bios/102.txt @@ -0,0 +1 @@ +Xin Lis research group focuses on the design of new energy related materials through advanced characterizations and simulations. By combining electrochemistry, (in situ) electron microscopy, (in situ) X-ray diffraction and first principles simulations, we try to understand the relationship between atomistic structure and electrochemical property of materials. The scientific understanding guides the design of new energy related materials with technological importance, especially energy storage materials such as cathodes, anode s and solid electrolytes for lithium or sodium ion batteries with improved energy density, cyclability and safety. The group is also interested in obtaining a general understanding on how microscopic interactions in the atomistic configurational unit can decide the collective behavior in layered metal oxides, such as NaTMO2 and unconventional superconductors. diff --git a/src/data/compiled_bios/1020.txt b/src/data/compiled_bios/1020.txt new file mode 100644 index 0000000000..de01dc0d5f --- /dev/null +++ b/src/data/compiled_bios/1020.txt @@ -0,0 +1 @@ + Ingemar J. Cox Homepage Search Main menu Skip to primary content Skip to secondary content Home Contact details Patents Publications Downloads Microsoft Research sponsored Ph.D. in Estimating the credibility of health information on the Web Posted on April 4, 2016 by ingemarcox A Microsoft Research sponsored Ph.D. scholarship is available to support a Ph.D. thesis on the topic of Estimating the credibility of health information on the Web. The candidate must be an EU citizen to qualify for the studentship. The candidate should have a B.Sc. and preferably an M.Sc. in Computer Science or a closely related subject, and knowledge of machine learning. The Ph.D. student will be jointly supervised by myself (Ingemar Cox) at UCL and Yoram Bacharach at Microsoft Research in Cambridge, UK. The student willbe based at UCL but periods of study at MSR Cambridge are expected. Interested candidates should send email to me at UCL. Posted in Uncategorized EPSRC IRC in Early Warning Sensing Systems for Infectious Diseases. Posted on May 14, 2013 by ingemarcox Early-warning sensor systems that can test and track serious infectious diseases such as major flu epidemics, MRSA and HIV using mobile phones and the internet are being developed by a major new Interdisciplinary Research Collaboration (IRC) led by UCL (University College London). The new 11 million IRC, funded by the Engineering and Physical Sciences Research Council (total investment 16 million), will develop mobile health technologies that allow doctors to diagnose and track diseases much earlier than ever before. The IRC brings together scientists, engineers and clinicians from UCL, Imperial College, the London School of Hygiene and Tropical Medicine and Newcastle University, together with NHS stakeholders UCL Partners, Newcastle Hospitals NHS Foundation Trust, the UCLH and Newcastle NIHR Biomedical Research Centres, Public Health England and industry partners OJ-Bio, Microsoft, Cambridge Life Sciences, Mologic, O 2 Health, Zurich Instruments, XFAB and Cepheid. The IRC will pioneer low cost, easy to use mobile phone-connected diagnostic tests based on advances in nanotechnology for use in GP surgeries, pharmacies, elderly care homes, developing countries and at home. The mobile tests aim to identify diseases with high sensitivity and specificity and give results within minutes from just a pin-prick of blood or a simple swab. Rapidly transmitting results into secure healthcare systems will alert doctors to potentially serious outbreaks with geographically linked information. The UCL team are already developing a smart-phone-connected prototype test for HIV with industry partners OJ-Bio. The IRC will also track reported symptoms of infection by searching millions of internet sources including media reports, search engine queries (e.g. Google Trends and Bing) and social networking sites (e.g. Facebook and Twitter) to identify outbreaks even before people attend clinics or from parts of the world that lack the resources for traditional public health surveillance. Worldwide, there are an estimated 6.8 billion mobile phone subscriptions, 2.7 billion people on-line and 1 billion social network users, representing a massive opportunity to widen access to tests and track emerging disease outbreaks. Dr Rachel McKendry, from the London Centre for Nanotechnology UCL, who will lead the new centre, said: A new generation of diagnostic test and tracking systems could save millions of people from deadly diseases such as new strains of influenza, HIV and MRSA. The revolution in mobile communication, nanotechnology, genomics, and big data analysis offers tremendous opportunities to actively manage outbreaks and ultimately prevent infectious diseases. Widening access to tests in community settings will empower patients to gain faster access to treatment, reduce the inappropriate use of antibiotics and protect the wider public. The new centre will bring critical mass and multidisciplinary expertise in biomarker discovery (pathogen-specific fingerprints) which require minimal sample processing steps, nano-enabled sensors, temperature-stable biomimetic capture coatings, nanoparticles, microelectronics, microfluidics, wireless networks, data mining, data security and health economics. Early diagnosis plays a vital role in the treatment, care and prevention of infectious diseases. However, worldwide, many infections remain undiagnosed and untreated or are diagnosed at the late stage due to poor diagnostic tools. The result is on-going transmission of serious infections and delays in the identification of emerging threats. Professor Deenan Pillay, Infectious Diseases Programme Director for the NIHR UCL Hospitals Biomedical Research Centre, and UCL Partners, Head of Department of Infection, UCL, and clinical lead in the new centre said: Infectious diseases remain among the top killers in the world. Newly emerging pandemics of, influenza, for example, provide major threats, and the spread of infections within hospitals and communities often undermines our effective management of patients, whatever their health problems. One of the major limitations to effective prevention, treatment and cure is the lack of appropriate tools to diagnose infections in the first place and monitor effective treatment. To meet the needs of end users, the team will work closely with leading NHS clinicians from UCL Partners and Newcastle NHS Trusts, NIHR Biomedical Research Centres, Public Health England, patient groups and the public to address the wider issues of increased testing, care pathways and data security. The centre also benefits from links to more than 100 countries in Africa, Asia and South America via the LSHTM International Diagnostics Centre led by Professor Rosanna Peeling. Professor Calum McNeil, lead investigator from the Newcastle University said, For me the EPSRC IRC is a long-term ambition come true. It presents a fantastic opportunity to work with world-leaders in nanotechnology, engineering, bioinformatics and communications technologies in order to provide real-time predictive, preventive, point-of-care healthcare provision a hugely exciting undertaking. Professor Molly Stevens from Imperial College London added, We are extremely excited about integrating our expertise in biosensing with such an excellent consortium to enable maximum impact in the fight against infectious diseases. EPSRC IRC in Early Warning Sensing Systems for Infectious Diseases. Team: UCL Dr Rachel McKendry, Prof. Deenan Pillay, Prof. Ingemar Cox, Prof. Anne Johnson, Prof. Robin Weiss, Prof. Vince Emery (now Surrey), Prof. Andreas Demosthenous, Prof. Quentin Pankhurst; LSHTM Prof. Rosanna Peeling; Imperial College Prof. Molly Stevens; Newcastle University Prof. Calum McNeil, Dr Neil Keegan, Prof. Colin Harwood, Prof. Anil Wipat, Dr Philip Manning; Dr John Hedley; Public Health England: Prof. Mike Catchpole; Prof. Richard Pebody. Posted in Uncategorized PassiveSystems wins UCLs Knowledge Transfer Business of the Year Award Posted on May 14, 2013 by ingemarcox We are pleased to announce that PassiveSystems has been awardKnowledge Transfer Business of the Year Award. PassivSystems Knowledge Transfer Partnership grants include work on recommender systems supported by Jun Wang and Ingemar J. Cox. Posted in Uncategorized ECIR 2013 Posted on March 11, 2013 by ingemarcox Ranked Accuracy and Unstructured DistributedSearch, S. Richardson and I. J. Cox, ECIR 2013. Posted in Uncategorized FindZebra: A search engine for rare diseases Posted on March 11, 2013 by ingemarcox FindZebra: A search engine for rare diseases, Radu Dragusin , Paula Petcu , Christina Lioma a , Birger Larsen , Henrik L. Jrgensen e , Ingemar J. Cox, Lars Kai Hansen , Peter Ingwersen , Ole Winther , Int. J. of Medical Informatics, 2013 Posted in Uncategorized Hersh Asthana wins Best Paper Prize at Large-Scale Distributed Systems for Information Retrieval Workshop Posted on March 11, 2013 by ingemarcox Congratulations to Hersh Asthana whose paper entitled Retrieval of Highly Dynamic Information in an Unstructured Peer-to-Peer Network was awarded Best Paper Prize at the Large-Scale and Distributed Systems for Information Retrieval Workshop in Rome, on 5th February 2013. Posted in news WWW 2012 Posted on September 11, 2012 by ingemarcox PACnPost: A Framework for a Micro-Blogging Social Network in an Unstructured P2P Network, H. Asthana and I. J. Cox, WWW 2012. pdf Posted in Uncategorized ECIR 2012 Posted on August 1, 2012 by ingemarcox On Aggregating Labels from Multiple Crowd Workers to Infer Relevance of Documents, M. Hosseini, I. J. Cox, N. Milic-Frayling, G. Kazai, V. Vinay, ECIR 2012 Posted in news SIGIR 2012 paper Posted on June 19, 2012 by ingemarcox An Uncertainty-aware Query Selection Model for Evaluation of IR Systems, M. Hosseini, I. J. Cox, N. Milic-Frayling, M. Shokouhi, E. Yilmaz, SIGIR 2012. Posted in news Doctoral Training Centre on Security and Crime Science at UCL Posted on April 10, 2012 by ingemarcox UCL SECReT is the new 17m national centre for PhD training in security and crime science at University College London, the first centre of its kind in Europe. The Centre offers the most comprehensive integrated PhD programme for students wishing to pursue multidisciplinary security or crime-related research. Applications are now open 11 fully-funded EPSRC scholarship available. Please see http://www.ucl.ac.uk/secret Posted in news | Tagged epsrc , phd , secret , security Recent Posts Microsoft Research sponsored Ph.D. in Estimating the credibility of health information on the Web EPSRC IRC in Early Warning Sensing Systems for Infectious Diseases. PassiveSystems wins UCLs Knowledge Transfer Business of the Year Award ECIR 2013 FindZebra: A search engine for rare diseases Recent Comments Archives April 2016 May 2013 March 2013 September 2012 August 2012 June 2012 April 2012 Categories news Uncategorized Proudly powered by WordPress diff --git a/src/data/compiled_bios/1021.txt b/src/data/compiled_bios/1021.txt new file mode 100644 index 0000000000..3a14041386 --- /dev/null +++ b/src/data/compiled_bios/1021.txt @@ -0,0 +1 @@ + Close UCLIC - UCL Interaction Centre Home Home People Academics Administration Researchers PhD students Visitors Former UCLICers Study Prospective Research Students Induction Week Prospective Taught Students Studying HCI Part-Time Study Apply Now Graduate Destinations Student views FAQ New Students Current Research Students Current Taught Students Distinction Projects UCLIC Alumni Research Affective Computing Health and Wellbeing Collaboration & Communication Interactions in the Wild Designing Future Interfaces Physical Computing Educational Technologies Persuasive Technologies AI and HCI Assistive and Enabling Technology Publications Books About us Collaborate with us Research Collaborations Teaching Collaborations UCLIC's History News, Events, Seminars News Events Seminars Jobs Home People Academics Administration Researchers PhD students Visitors Former UCLICers Study Research Publications About us News, Events, Seminars Tweets by AnnaCox_ Home People Anna Cox Anna Cox Professor of Human-Computer Interaction anna.cox@ucl.ac.uk +44 (0)20 3108 7074 (x57074) Room: 2.14 UCLIC, University College London 66 - 72 Gower Street London, WC1E 6EA United Kingdom @AnnaCox_ Google Scholar Blog LinkedIn Current opportunities to join my group Click here to find out about current vacancies Office Hours: There are gaps in my diary each week when students can book a meeting with me. Please follow this link to book a meeting with me doodle.com/annacox . Research: My research explores the impacts of technology for making us healthy, happy and more productive with a particular focus on work-life balance and wellbeing. Digital health and wellbeing The impacts of being always-on (including dealing with interruptions, and digital work-life boundary management) Which strategies are effective for helping us to manage our digital technologies? Can these strategies improve our wellbeing? Digital activities for dealing with work-related stress and low mood (particularly playing videogames) Personal informatics and serious games to support self-management of mental health Digital interventions to improve physical activity and encourage movement Productivity How effective are the digital tools that promise to help us increase focus and get work done? How can tasks be designed to increase productivity and efficiency and reduce errors? Understanding interruptions at the micro (window switching), meso (task or work sphere switching) and macro (life sphere switching) levels Increasing productivity in volunteer and paid digital workplaces (citizen science and Mturk) I have the great fortune to work with some amazing people. Current and former members of my research team are listed here . If you think you'd like to join us then information regarding current opportunites to join my group are here . I am leading or involved in the following funded projects: GetAMoveOn : transforming health through enabling mobility (EPSRC) EP/N027299/1 923,685 The network starts on 1st April 2016 and runs for 48 months Conceptualising and measuring digital emotion regulation (Australian Research Council) AU$410,000. The project starts in February 2019 and runs for 36 months Completed projects: Open3D: Collaborative Editing for 3D Virtual Worlds (EPSRC) EP/M013685/1. 712,097. The project started in June 2015 will run for 36 months. (Co-I) C-PLACID: Computational PLatform for Assessment of Cognition In Dementia (EPSRC) EP/M006093/1. 1,430,004. The project started in January 2015 and will run for 36 months. (Co-I) Media Multitasking in New Broadcasting System Content Experiences. EPSRC & BBC Studentship.100K, 2014-18. (Co-I) ECLIPSE: Exploring the Current Landscape of Intravenous Infusion Practices & Errors (NIHR HS&DR) 12/209/27.491,919.40. The project started in July 2014 and will run for 36 months. (Co-I) Life Swap Workshops (EPSRC via Balance Network) 3280. The project started in 2015 and runs for 6 months. (Co-I) Citizen Cyberlab (EU FP7) 317705. 3,400,000 (approx. 2,704,754) The project started in October 2012 and ran for 3 years. (Co-I) CHI+MED: Computer-Human Interaction for Medical Devices (EPSRC Programme Grant) EP/G059063/1. 5,792,050 The project started in October 2009 and ran for 6 years 3 months. (Co-I) Digital Epiphanies (EPSRC) EP/K025392/1. 195,135 The project started in February 2013 ran for 18 months. (PI) Healthy Interactive Systems in Healthcare (EPRSC Platform Grant) EP/G004560/1. 422,828 The project started in February 2009 and ran for 5 years. (Co-I) KTP 6938 funded by ESRC & the Technology Strategy Board with Paperstone on the use of 'Human-Computer Interaction' methods to transfer usability and accessibility knowledge to the company. 116,856 The project started in February 2009 and ran for 18 months. (PI) A rational framework for modeling interactive search (EPSRC First Grant) GR/T28225/01. 122,692 The project started in February 2005 and ran for 2 years 3 months. (PI) Teaching: I'm the module convenor for PSYC0099 Serious and Persuasive Games. I also teach research methods on PSYC0101 Interaction Science. I co-edited one of the key texts for the module Research Methods for Human Computer Interaction : Cambridge University Press. 'Research Methods for Human-Computer Interaction is a wonderful resource, for both students and practitioners, who need to take a scientific approach to the design of user interfaces. [....]' Dr Alan Blackwell, Reader in Interdisciplinary Design, University of Cambridge Computer Laboratory. I have delivered research methods courses to conference attendees at the following events: British-HCI 2008 CHI2015 in Seoul, South Korea CHI2016 in San Jose, USA CHI2017 in Denver, USA External Activities Technical Programme Co-Chair for CHI2018 in Montreal and CHI2019 in Glasgow Doctoral Consortium Co-Chair and Subcommittee Chair for Understanding People for CHI2017 in Denver General Conference Co-Chair for CHI PLAY 2015 & 2016 Associate Chair for CHI2015 and CHI2016 Member of the EPSRC College External Examiner at University of York (2014-2018) Chair of Governors at Sandringham School, St Albans Videos & Articles in Popular Media: cited in What Would Happen If We Banned Emails At The Weekend? BBC Capital (Aug 2018) podcast from Digital Mindfulness series: Tech & Work Life Balance with Anna Cox (September 2017) video from Meet The Researcher series at UCL Psychology & Language Sciences (September 2017) quoted in new scientist (August 2017) podcast from Changing Academic Life series: family, work & strategies for making the changes we want (March 2017) quoted in Does Banning Out of Hours Email Increase Employee Engagement? (January 2017) quoted in the news.com.au - France introduces legislation giving workers the 'right to disconnect' (January 2017) quoted in the Guardian - French workers win legal right to avoid checking work email out-of-hours (January 2017) quoted in The Telegraph - French win 'right to disconnect' from out-of-hours work emails (December 2016) featured in The Psychologist - From the ZX Spectrum to smartwatches (April 2016) featured in Women at UCL: Presence and Absence (March 2016) video of talk given at Product Tank Managing Interruptions = Better Digital Product Design (July 2015) article in The Conversation The gamer in your life isn't ignoring you, they're blind to your presence (June 2014) article in The Conversation Rough day at work? Call of Duty can help you recover in The Conversation (June 2014) featured in in BPS Occupational Digest - Gamers find it easier to relax and detach from work (March 2014) featured in Mens Health Magazine - The Super Fun Way to De-Stress from Work (April 2014) article in The Conversation - Speed reading apps are great for snippets but not sonnets (March 2014) cited in Psychology Today's article How to Avoid Your Five Most Common Memory Errors: Research-based strategies to stop making mistakes that can ruin your day (Oct 2013) featured in Times Higher Educational Who got that job? (July 2004) Research Publications Authors Title Year Publication Simon Li , Anna Cox , C Or, Ann Blandford Effects of monetary reward and punishment on information checking behaviour: An eye-tracking study 2018 Applied Ergonomics, Journal article Jake Rigby , Duncan Brumby , Sandy Gould , Anna Cox "I Can Watch What I Want": A Diary Study of On-Demand and Cross-Device Viewing 2018 TVX 2018, Conference paper (text), Seoul, South Korea Sandy Gould , Anna Cox , Duncan Brumby Influencing and Measuring Behaviour in Crowdsourced Activities 2018 Chapter Amid Ayobi , Tobias Sonne , Paul Marshall , Anna Cox Flexible and Mindful Self-Tracking: Design Implications from Paper Bullet Journals 2018 Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI '18), Conference paper (text), Montral, Canada Nora Ptakauskaite , Anna Cox , M Musolesi, A Mehrotra, J Cheshire, C Garattini Personal Informatics Tools Benefit from Combining Automatic and Manual Data Capture in the Long-Term 2018 The ACM Conference on Human Factors in Computing Systems (CHI), Conference paper (text), Montreal, Canada Jake Rigby , Duncan Brumby , Anna Cox , Sandy Gould Old Habits Die Hard: A Diary Study of On-Demand Video Viewing 2018 CHI EA '18, Conference paper (text), New York (NY), USA OT Stirrup, DT Dunn, A Tostevin, CA Sabin, A Pozniak, D Asboe, Anna Cox , C Orkin, F Martin, P Cane Risk factors and outcomes for the Q151M and T69 insertion HIV-1 resistance mutations in historic UK data. 2018 AIDS research and therapy, Journal article Dominic Furniss , Imogen Lyons , B Franklin, A Mayer, G Chumbley, L Wei, Anna Cox , Anna Cox , Jolien Vos , Galal Galal-Edeen Procedural and documentation variations in intravenous infusion administration: a mixed methods study of policy and practice across 16 hospital trusts in England 2018 BMC Health Services Research, Journal article Dominic Furniss , Imogen Lyons , B Franklin, A Mayer, G Chumbley, L Wei, Anna Cox , Anna Cox , Jolien Vos , Galal Galal-Edeen Procedural and documentation variations in intravenous infusion administration: a mixed methods study of policy and practice across 16 hospital trusts in England 2018 BMC Health Services Research, Journal article Imogen Lyons , Dominic Furniss , Ann Blandford , G Chumbley, I Iacovides, L Wei, Anna Cox , Anna Cox , A Mayer, Jolien Vos Errors and discrepancies in the administration of intravenous infusions: a mixed methods multihospital observational study 2018 BMJ Quality and Safety, Journal article Imogen Lyons , Dominic Furniss , Ann Blandford , G Chumbley, I Iacovides, L Wei, Anna Cox , Anna Cox , A Mayer, Jolien Vos Errors and discrepancies in the administration of intravenous infusions: a mixed methods multihospital observational study 2018 BMJ Quality and Safety, Journal article Nora Ptakauskaite , Anna Cox , Nadia Berthouze Knowing What Youre Doing or Knowing What to Do: How Stress Management Apps Support Reflection and Behaviour Change 2018 Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems, Conference paper (text), Montreal, Canada Judith Borghouts , Duncan Brumby , Anna Cox Looking Up Information in Email: Feedback on Visit Durations Discourages Distractions 2018 CHI Conference on Human Factors in Computing Systems Extended Abstracts, Conference paper (text), Montreal, CA Charlene Jennett , Anna Cox Digital Citizen Science and the Motivations of Volunteers 2017 Chapter Charlene Jennett , Anna Cox Bored during the Christmas Break? Get creative with science 2017 Https://theconversation.com/bored-during-the-christmas-break-get-creative-with-science-89101, Internet publication Marta Cecchinato , Anna Cox Work-Home Boundaries and Communication Technologies 2017 ESRC Ways of Being in the Digital Age Conference, Conference abstract/presentation slides Jake Rigby , Duncan Brumby , Anna Cox , Sandy Gould Film, interrupted: Investigating how mobile device notifications affect immersion during movies 2017 Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct, MobileHCI 17, Conference paper (text) Judith Borghouts , Duncan Brumby , Anna Cox Batching, Error Checking and Data Collecting: Understanding Data Entry in a Financial Office 2017 Proceedings of 15th European Conference on Computer-Supported Cooperative Work - Exploratory Papers, Reports of the European Society for Socially Embedded Technologies, Conference paper (text), Sheffield, UK O Danilina, Anna Cox , A Fonseca, S Johnson The Effectiveness of Serious Video Games on Mental Health Related Outcomes: Systematic Review 2017 Workshop on Games For The Assessment And Treatment Of Mental Health, CHI PLAY 17, Conference abstract/presentation slides, Amsterdam, Netherlands Jake Rigby , Duncan Brumby , Sandy Gould , Anna Cox Media multitasking at home: A video observation study of concurrent TV and mobile device usage 2017 Proceedings of the 2017 ACM International Conference on Interactive Experiences for TV and Online Video, TVX 17, Conference paper (text) Charlene Jennett , S Papadopoulou, J Himmelstein, A Vaugoux, V Roger, Anna Cox Students Experiences of Interdisciplinary Learning while Building Scientific Video Games 2017 International Journal of Game-Based Learning, Journal article Charlene Jennett , Anna Cox , P Guerrero, A Steed, N Mitra Designing for Curiosity in Citizen Science 2017 "Designing for Curiosity" workshop at CHI 2017, Conference paper (text), Denver, Colorado Joseph Newbold , J Luton, Anna Cox , Sandy Gould Using nature-based soundscapes to support task performance and mood 2017 Conference on Human Factors in Computing Systems - Proceedings, Conference paper (text) Duncan Brumby , Ann Blandford , Anna Cox , Sandy Gould , Paul Marshall Understanding people: A course on qualitative and quantitative HCI research methods 2017 Conference on Human Factors in Computing Systems - Proceedings, Conference paper (text) A Tse, Charlene Jennett , J Moore, Z Watson, Jake Rigby , Anna Cox Was I There? Impact of Platform and Headphones on 360 Video Immersion 2017 CHI 2017, Conference paper (text), Denver, Colorado Marta Cecchinato , Anna Cox , Jon Bird Always On(line)? User Experience of Smartwatches and their Role within Multi-Device Ecologies 2017 CHI 2017, Conference paper (text), Denver, CO Amid Ayobi , Paul Marshall , Anna Cox , Y Chen Quantifying the Body and Caring for the Mind: Self-Tracking in Multiple Sclerosis 2017 CHI 2017, Conference paper (text), Denver, CO, USA O Danilina, Anna Cox , A Fonseca, S Johnson Serious Video Games as Psychosocial Interventions for Psychosis 2017 2nd Symposium Computing and Mental Health, 2017 at CHI 2017, Conference paper (text), Denver, Colorado, US Marta Cecchinato , Anna Cox Smartwatches: Digital Handcuffs or Magic Bracelets? 2017 Computer, Journal article Sarah Wiseman , Anna Cox , Sandy Gould , Duncan Brumby Exploring the effects of non-monetary reimbursement for participants in HCI research 2017 Human Computation, Journal article Charlene Jennett , Sandy Gould , L Kloetzer, Anna Cox Understanding the Work Habits of Online Citizen Scientists 2017 "The Science of Citizen Science" workshop at CSCW 2017, Conference paper (text), Portland, Oregon Charlene Jennett , L Kloetzer, Anna Cox , D Schneider, Emily Collins , M Fritz, MJ Bland, C Regalado, I Marcus, H Stockwell Creativity in Citizen Cyberscience 2017 Human Computation, Journal article Sandy Gould , Anna Cox , Duncan Brumby , Sarah Wiseman Short links and tiny keyboards: a systematic exploration of design trade-offs in link shortening services 2016 International Journal of Human-Computer Studies, Journal article Katarzyna Stawarz , MD Rodriguez, Anna Cox , Ann Blandford Understanding the use of contextual cues: Design implications for medication adherence technologies that support remembering 2016 Digital Health, Journal article Britta Schulte , Paul Marshall , Anna Cox Homes for life: A design fiction probe 2016 ACM International Conference Proceeding Series, Conference paper (text) Anna Cox , R Mandryk, Z Toups, Paul Cairns CHI PLAY 2016 chairs' welcome 2016 Conference abstract/presentation slides Anna Cox , Z Toups, R Mandryk, Paul Cairns CHI PLAY 2016 Chairs' Welcome 2016 Conference abstract/presentation slides Charlene Jennett , I Iacovides, Anna Cox , A Vikhanova, E Weigold, L Mostaghimi, Geraint Jones , J Jenkins, Sarah Gallacher , Yvonne Rogers Squeezy Green Balls: Promoting Environmental Awareness through Playful Interactions 2016 CHI Play, Conference paper (text), Austin, Texas Emily Collins , Anna Cox , F Lee Say Cheese! Games for Successful Academic and Student Networking 2016 Annual Symposium on Computer-Human Interaction in Play (CHI PLAY), Conference paper (text), Austin, Texas I Iacovides, Ann Blandford , Anna Cox , Jonathan Back How external and internal resources influence user action: the case of infusion devices 2016 Cognition, Technology and Work, Journal article Jake Rigby , Duncan Brumby , Anna Cox , Gould Watching movies on Netflix: Investigating the effect of screen size on viewer immersion 2016 Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct, MobileHCI 16, Conference paper (text) Charlene Jennett , L Kloetzer, J Himmelstein, A Vaugoux, I Iacovides, Anna Cox Learning in Game Jams: A Case Study of the GLASS Summer School 2016 Playful Learning 2016, Conference abstract/presentation slides, Manchester, UK Sandy Gould , Anna Cox , Duncan Brumby Diminished Control in Crowdsourcing: An Investigation of Crowdworker Multitasking Behavior 2016 ACM Transactions on Computer - Human Interaction, Journal article Charlene Jennett , Anna Cox , L Kloetzer, D Schneider, E Li, Emily Collins , M Fritz, R Goujet, E Rusack, I Charalampidis Games and gamification in citizen science: Lessons from Citizen Cyberlab 2016 "Gaming for Good" workshop at ECSA 2016, Conference abstract/presentation slides, Berlin, Germany Sandy Gould , Anna Cox , Duncan Brumby , A Wickersham Now Check Your Input: Brief Task Lockouts Encourage Checking, Longer Lockouts Encourage Task Switching 2016 Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, Journal article Sarah Wiseman , Mio G Soto, Anna Cox , Sandy Gould , J Moore, C Needham Use Your Words: Designing One-time Pairing Codes to Improve User Experience 2016 CHI'16 - CHI Conference on Human Factors in Computing Systems, Conference paper (text), New York, USA Ian Renfree , Danny Harrison , Paul Marshall , Katarzyna Stawarz , Anna Cox Dont Kick the Habit: The Role of Dependency in Habit Formation Apps 2016 Proceedings of the 34th Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems, Conference paper (text), San Jose, CA, USA Amid Ayobi , Paul Marshall , Anna Cox Reflections on 5 Years of Personal Informatics: Rising Concerns and Emerging Directions 2016 CHI'16, Conference paper (text), San Jose, CA, USA Amid Ayobi , Paul Marshall , Anna Cox Reflections on 5 Years of Personal Informatics: Rising Concerns and Emerging Directions 2016 CHI'16, Conference proceeding, San Jose, CA, USA LE Nacke, Anna Cox , RL Mandryk, Paul Cairns SIGCHI games: The scope of games and PLAY research at CHI 2016 Conference abstract/presentation slides Anna Cox , Sandy Gould , Marta Cecchinato , I Iacovides, Ian Renfree Design Frictions for Mindful Interactions: The Case for Microboundaries 2016 Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems, Conference paper (text), New York, USA Duncan Brumby , Ann Blandford , Anna Cox , Sandy Gould , Paul Marshall Research Methods for HCI: Understanding People Using Interactive Technologies 2016 Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems, Journal article, New York, USA Ian Renfree , Anna Cox Tangibly Reducing Sedentariness in Office Workers 2016 CHI'16 workshop: Tangibles 4 Health, Conference paper (text), San Jose, CA, USA Charlene Jennett , L Kloetzer, D Schneider, I Iacovides, Anna Cox , M Gold, B Fuchs, A Eveleigh, K Mathieu, Z Ajani Motivations, Learning and Creativity in Online Citizen Science 2016 Journal of Science Communication, Journal article Anna Cox From the zx spectrum to 2016 Psychologist, Journal article Anna Cox From the ZX Spectrum to smartwatches 2016 PSYCHOLOGIST, Journal article Ann Blandford , Dominic Furniss , Imogen Lyons , G Chumbley, I Iacovides, L Wei, Anna Cox , A Mayer, K Schnock, DW Bates Exploring the Current Landscape of Intravenous Infusion Practices and Errors (ECLIPSE): protocol for a mixed-methods observational study 2016 BMJ Open, Journal article Simon Li , Anna Cox , C Or, Ann Blandford Effects of monetary reward and punishment on information checking behaviour 2016 APPLIED ERGONOMICS, Journal article Marta Cecchinato , Anna Cox , J BIRD Work-Life Balance through Tangibles and the Internet of Things. 2016 CHI'16 workshop: Tangibles 4 Health, Conference paper (text), San Jose, CA Duncan Brumby , Ann Blandford , Anna Cox , Sandy Gould , Paul Marshall Research Methods for HCI: Understanding People Using Interactive Technologies. 2016 CHI Extended Abstracts, Conference proceeding Paul Curzon , Ann Blandford , Harold Thimbleby , Anna Cox Safer interactive medical device design: Insights from the CHI+MED Project 2015 MOBIHEALTH 2015 - 5th EAI International Conference on Wireless Mobile Communication and Healthcare - Transforming Healthcare through Innovations in Mobile and Wireless Technologies, Conference paper (text) Sarah Wiseman , Judith Borghouts , D Grgic, Duncan Brumby , Anna Cox The Effect Of Interface Type On Visual Error Checking Behavior 2015 HFES 2015 International Annual Meeting, Conference paper (text), Los Angeles Anna Cox , Paul Cairns CHI PLAY 2015 chairs' welcome 2015 CHI PLAY 2015 - Proceedings of the 2015 Annual Symposium on Computer-Human Interaction in Play, Conference paper (text) Sandy Gould , Anna Cox , Duncan Brumby , Sarah Wiseman Home is Where the Lab is: A Comparison of Online and Lab Data From a Time-sensitive Study of Interruption 2015 Human Computation, Journal article CP Janssen, Sandy Gould , Simon Li , Duncan Brumby , Anna Cox Integrating knowledge of multitasking and interruptions across different perspectives and research methods 2015 INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES, Journal article Katarzyna Stawarz , Anna Cox , Ann Blandford Beyond Self-Tracking and Reminders: Designing Smartphone Apps That Support Habit Formation 2015 CHI2015, Conference paper (text), Seoul, South Korea R Fleck, Anna Cox , RA Robison Balancing Boundaries: Using Multiple Devices to Manage Work-Life Balance 2015 CHI 2015, Conference paper (text), Seoul, South Korea Katarzyna Stawarz , Anna Cox Designing for Health Behavior Change: HCI Research Alone Is Not Enough 2015 CHI 2015 Workshop: Crossing HCI and Health: Advancing Health and Wellness Technology Research in Home and Community Settings, Conference abstract/presentation slides, Seoul, South Korea Marta Cecchinato , R Fleck, Jon Bird , Anna Cox Online vs. Offline: Implications for Work Identity 2015 Between the lines: Reevaluating the Online/Offline Binary: A workshop at CHI'15, Conference paper (text), Seoul, Korea Sandy Gould , Anna Cox , Duncan Brumby Task Lockouts Induce Crowdworkers to Switch to Other Activities 2015 Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems, Journal article I Iacovides, Anna Cox Case studies: Understanding players and the contexts in which they play. 2015 Conference paper (text), Paper presented at the Workshop on Crossing Domains: Diverse Perspectives on Players at CHI 2015, Seoul, South Korea, April 2015 I Iacovides, Ann Blandford , Anna Cox , BD Franklin, P Lee, Chris Vincent Infusion device standardisation and dose error reduction software 2015 British Journal of Health Care Management, Journal article Marta Cecchinato , Anna Cox , Jon Bird Smartwatches: the Good, the Bad and the Ugly? 2015 CHI'15 Extended Abstracts, Conference paper (text) Sandy Gould , Duncan Brumby , Anna Cox , G Fitzpatrick, J Hoonhout, D Lamas, E Law Methods for Human-Computer Interaction Research 2015 CHI EA '15: Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems, Journal article, New York, US I Iacovides, Anna Cox Moving Beyond Fun: Evaluating Serious Experience in Digital Games. 2015 Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, CHI2015, Conference paper (text) I Iacovides, Anna Cox , R Kennedy, Paul Cairns , Charlene Jennett Removing the HUD: The Impact of Non-diegetic Game Elements and Expertise on Player Involvement 2015 CHI PLAY '15 Proceedings of the 2015 Annual Symposium on Computer-Human Interaction in Play, Conference paper (text), New York, NY, USA Marta Cecchinato , Anna Cox , Jon Bird Working 9-5? Professional Differences in Email and Boundary Management Practices 2015 CHI 2015, Conference paper (text), Seoul, South Korea Emily Collins , Anna Cox , Jon Bird , C Cornish-Trestrail Barriers to Engagement with a Personal Informatics Productivity Tool 2014 OzCHI'14, Conference paper (text), Sydney, Australia Charlene Jennett , Anna Cox 8 guidelines for designing virtual citizen science projects 2014 Citizen + X Workshop: Volunteer-Based Crowdsourcing in Science, Public Health and Government. At HCOMP 2014, Conference paper (text), Pittsburgh, PA J Himmelstein, M Couzic, Charlene Jennett , Anna Cox , R Goujet, A Lindner, F Taddei RedWire: A novel way to create and re-mix games 2014 CHI Play, Conference paper (text), Toronto, Canada Anna Cox , Jon Bird , N Mauthner, S Dray, A Peters, Emily Collins Socio-Technical Practices and Work-Home Boundaries 2014 MobileHCI, Conference paper (text), New York, NY, USA R Fleck, RAV Robison, Anna Cox Balancing Boundaries: The Role of Technology Boundary Work in Managing Work-Life Balance 2014 Workshop on Socio-Technical Systems and Work-Home Boundaries, MobileHCI'14, Conference paper (text), MobileHCI'14 Workshop: Socio-Technical Systems and Work-Home Boundaries Emily Collins , Anna Cox Social Networking Use and RescueTime: The issue of Engagement 2014 ACM Digital Library, Conference paper (text), Ubicomp'14 Workshop: Disasters in Personal Informatics Dominic Furniss , I Iacovides, Charlene Jennett , Sandy Gould , Anna Cox , Ann Blandford How to run an Errordiary workshop: Exploring errors and resilience strategies with patients, professionals and the public 2014 Third Resilience Health Care Net Meeting, Conference paper (text), Hindsgavl Castle, Denmark I Iacovides, Ann Blandford , Anna Cox , BD Franklin, P Lee, Chris Vincent Infusion device standardisation and dose error reduction software 2014 British Journal of Nursing, Journal article Charlene Jennett , Anna Cox The gamer in your life isn't ignoring you, they're blind to your presence 2014 Http://theconversation.com/the-gamer-in-your-life-isnt-ignoring-you-theyre-blind-to-your-presence-27885, Internet publication Emily Collins , Anna Cox Rough day at work? Call of Duty can help you recover 2014 Https://theconversation.com/rough-day-at-work-call-of-duty-can-help-you-recover-26030, Internet publication Charlene Jennett , Anna Cox , D Mastracci, C Regalado From London to the Arctic: Exploring Engagement and Learning in Citizen Cyberscience 2014 Http://aglobalvillage.org/journal/issue12/virtualcitizen/jennett/, Internet publication Katarzyna Stawarz , Anna Cox , Ann Blandford Personalized routine support for tackling medication non-adherence 2014 CHI'14 Workshop: Personalised Behaviour Change Technologies, Conference paper (text), Toronto, Canada AMM Eveleigh, Charlene Jennett , Ann Blandford , P Brohan, Anna Cox Designing for Dabblers and Deterring Drop-Outs in Citizen Science 2014 CHI 2014, Conference paper (text), New York, NY, USA Katarzyna Stawarz , Anna Cox , Ann Blandford Don't Forget Your Pill! Designing Effective Medication Reminder Apps That Support Users' Daily Routines 2014 CHI2014, Conference paper (text), Toronto, Canada I Iacovides, Anna Cox , T Knoll Learning the game: breakdowns, breakthroughs and player strategies 2014 CHI 2014: 32nd Annual ACM Conference on Human Factors in Computing Systems: One of a CHInd, Conference paper (text), New York, NY, USA Paul Cairns , Anna Cox , Nordin A Imran Immersion in Digital Games: Review of Gaming Experience Research 2014 Chapter Charlene Jennett , Dominic Furniss , I Iacovides, Anna Cox In the MOOD for Citizen Psych-Science 2014 Citizen Cyberscience Summit 2014, Conference paper (text), London, UK Charlene Jennett , Anna Cox Eight guidelines for designing virtual citizen science projects 2014 AAAI Workshop - Technical Report, Conference paper (text) Charlene Jennett , Dominic Furniss , I Iacovides, Sarah Wiseman , Sandy Gould , Anna Cox Exploring Citizen Psych-Science and the Motivations of Errordiary Volunteers 2014 Human Computation, Journal article Marta Cecchinato , Anna Cox , Jon Bird I check my emails on the toilet: Email Practices and Work-Home Boundary Management 2014 Conference paper (text), MobileHCI'14 Workshop: Socio-Technical Systems and Work-Home Boundaries Duncan Brumby , Anna Cox , J Chung, B Fernandes How does knowing what you are looking for change visual search behavior? 2014 CHI '14: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Journal article Sandy Gould , Dominic Furniss , Charlene Jennett , Sarah Wiseman , I Iacovides, Anna Cox MOODs: Building Massive Open Online Diaries for Researchers, Teachers and Contributors 2014 CHI 2014, Conference paper (text) Marta Cecchinato , Jon Bird , Anna Cox Personalised email tools: a solution to email overload? 2014 CHI'14 Workshop: Personalised Behaviour Change Technologies, Conference paper (text), Toronto, Canada A Howes, BR Cowan, Paul Cairns , AJ Hornof, CP Janssen, SJ Payne, Anna Cox , P Pirolli Interaction science SIG: Overcoming challenges 2014 CHI EA 2014, Conference paper (text), Toronto, Canada Sandy Gould , Anna Cox , Duncan Brumby Naturalistic Distributed Experimentation as a Source of New Insight 2014 Citizen + X: Volunteer-Based Crowdsourcing in Science, Public Health and Government, Journal article Emily Collins , Anna Cox Out of work, out of mind? Smartphone use and work-life boundaries 2014 Journal article, MobileHCI 2014 Workshop: Socio Technological Practices and Work Home Boundaries I Iacovides, Anna Cox , A Avakian, T Knoll Player Strategies: Achieving Breakthroughs and Progressing in Single-player and Cooperative Games 2014 Proceedings of the first ACM SIGCHI annual symposium on Computer-human interaction in play, Conference paper (text) Emily Collins , Anna Cox Switch on to games: Can digital games aid post-work recovery? 2014 International Journal of Human Computer Studies, Journal article Duncan Brumby , A Tajadura-Jimnez, Toit H Du, Anna Cox , Harry Griffin Working with the television on: An investigation into media multitasking 2014 CHI EA '14: Proceedings of the Extended Abstracts of the ACM Conference on Human Factors in Computing Systems, Journal article Sandy Gould , Duncan Brumby , Anna Cox What does it mean for an interruption to be relevant? an investigation of relevance as a memory effect 2013 HFES 2013: Proceedings of the Annual Meeting of the Human Factors and Ergonomics Society, Journal article L Kloetzer, D Schneider, Charlene Jennett , I Iacovides, A Eveleigh, Anna Cox , M Gold Learning by volunteer computing, thinking and gaming: What and how are volunteers learning by participating in Virtual Citizen Science? 2013 ESREA 2013, Conference paper (text), Berlin Paul Cairns , Anna Cox , M Day, H Martin, T Perryman Who but not where: The effect of social play on immersion in digital games 2013 INTERNATIONAL JOURNAL OF HUMAN-COMPUTER STUDIES, Journal article Sarah Wiseman , Duncan Brumby , Anna Cox , O Hennessy Tailoring number entry interfaces to the task of programming medical infusion pumps 2013 HFES 2013: Proceedings of the Annual Meeting of the Human Factors and Ergonomics Society, Journal article A Eveleigh, Charlene Jennett , S Lynn, Anna Cox "I want to be a Captain! I want to be a Captain!": Gamification in the Old Weather Citizen Science Project. 2013 Gamifciation 2013, Conference paper (text), New York, NY, USA Katarzyna Stawarz , Anna Cox How technology supporting daily habits could help women remember oral contraception 2013 BCS-HCI 2013 Workshop: Habits in Human-Computer Interaction, Conference paper (text), BCS-HCI 2013 Workshop: Habits in Human-Computer Interaction Duncan Brumby , Anna Cox , Jon Bird Too Much Email, Too Much Checking 2013 Conference paper (text), BCS-HCI 2013 Workshop: Habits in Human-Computer Interaction Anna Cox , Jon Bird , R Fleck Digital Epiphanies: how self-knowledge can change habits and our attitudes towards them 2013 Conference paper (text), Brunel University, London, UK P Oladimeji, Harold Thimbleby , Anna Cox A performance review of number entry interfaces 2013 INTERACT 2013, Conference paper (text), Cape Town, South Africa MGA Ament, Anna Cox , Ann Blandford , Duncan Brumby Making a task difficult: Evidence that device-oriented steps are effortful and error-prone 2013 JOURNAL OF EXPERIMENTAL PSYCHOLOGY-APPLIED, Journal article I Iacovides, Anna Cox , Ann Blandford Supporting learning within the workplace: Device training in healthcare. 2013 Cognitive Ergonomics 2013, Conference paper (text), Toulouse, France Duncan Brumby , Anna Cox , Jonathan Back , Sandy Gould Recovering from an interruption: Investigating speed-accuracy trade-offs in task resumption behavior 2013 Journal of Experimental Psychology: Applied, Journal article Charlene Jennett , A Eveleigh, K Mathieu, Z Ajani, Anna Cox Creativity in citizen science: All for one and one for all 2013 WebSci 2013 Workshop: Creativity and Attention in the Age of the Web, Conference paper (text), WebSci 2013 Workshop: Creativity and Attention in the Age of the Web Y Zhou, Jon Bird , Anna Cox , Duncan Brumby Estimating Usage Can Reduce the Stress of Social Networking 2013 Conference paper (text), CHI2013 Workshop: Personal Informatics in the Wild, Hacking Habits for Health & Happiness Sarah Wiseman , O Hennessy, Anna Cox , Duncan Brumby The Language Of Numbers 2013 CHI 2012 Workshop: Grand Challenges In Text Entry, Conference paper (text), Paris, France I Iacovides, Charlene Jennett , C Cornish-Trestrail, Anna Cox Do games attract or sustain engagement in citizen science?: A study of volunteer motivations 2013 CHI 2013, Conference paper (text), NY, USA Charlene Jennett , L Kloetzer, M Gold, Anna Cox Sociability in virtual citizen science 2013 CHI 2013 Workshop: Designing and Evaluating Sociability in Online Video Games, Conference paper (text), CHI 2013 Workshop: Designing and Evaluating Sociability in Online Video Games Wardlaw, Anna Cox , Haklay Adaptation of Method-resources Between Projects: A Case Study From a Dynamic and Complex Work Domain 2013 Conference paper (text), CHI 2013 Workshop: Made for Sharing: HCI Stories of Transfer, Triumph and Tragedy Back, Anna Cox Artifacts for programmable devices: the good, the bad and the ugly 2013 CHI '13, Conference paper (text), Paris, France Sandy Gould , Anna Cox , Duncan Brumby , Sarah Wiseman Assessing the viability of online interruption studies 2013 HCOMP-2014: Human Computation and Crowdsourcing, Works in Progress and Demonstrations, Journal article, Palo Alto, CA Jonathan Back , I Iacovides, Dominic Furniss , Chris Vincent , Anna Cox , Ann Blandford Designing Better Prescription Charts: Why we cant just ask the nurses. 2013 Conference paper (text), CHI 2013 Workshop: Safer Interaction in Medical Devices (CHI+MED) Sarah Wiseman , Anna Cox , Duncan Brumby Designing Devices With the Task in Mind: Which Numbers Are Really Used in Hospitals? 2013 Human Factors: The Journal of the Human Factors and Ergonomics Society, Journal article Sandy Gould , Anna Cox , Duncan Brumby Frequency and duration of self-initiated task-switching in an online investigation of interrupted performance 2013 HCOMP-2014: Human Computation and Crowdsourcing, Works in Progress and Demonstrations, Journal article, Palo Alto, CA A Bradley, Duncan Brumby , Anna Cox , Jon Bird How to Manage Your Inbox: Is a Once a Day Strategy Best? 2013 BCS-HCI '13: Proceedings of the International BCS Human-Computer Interaction Conference, Journal article Stawarz, Anna Cox , Jon Bird , Rachel Benedyk "I'd sit at home and do work emails": how tablets affect the work-life balance of office workers. 2013 CHI 2013, Conference paper (text), Paris, France F Soboczenski, Paul Cairns , Anna Cox Increasing accuracy by decreasing presentation quality in transcription tasks 2013 INTERACT 2013, Conference paper (text) Sarah Wiseman , Anna Cox , Duncan Brumby , Sandy Gould , S O'Carroll Using checksums to detect number entry error 2013 CHI '13: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Journal article, New York, NY, USA Duncan Brumby , Anna Cox , Jonathan Back , Sandy Gould Recovering from an interruption: Investigating speed-accuracy tradeoffs in task resumption strategy 2013 Journal of Experimental Psychology: Applied, Journal article Sandy Gould , Anna Cox , Duncan Brumby Using Graphical Representations to Support the Calculation of Infusion Parameters 2013 INTERACT 2013: Human-Computer Interaction, Journal article P Oladimeji, Harold Thimbleby , Paul Curzon , I Iacovides, Anna Cox Exploring unlikely errors using video games: An example in number entry research 2012 Conference paper (text), Fun & Games 2012 Workshop: Safety-Critical Systems and Video Games Sarah Wiseman , Anna Cox , Duncan Brumby A case for Number Entry 2012 CHI 2012 Workshop: Designing and Evaluating Text Entry Methods: 30th ACM Conference on Human Factors in Computing Systems, Conference paper (text), CHI 2012 Workshop: Designing and Evaluating Text Entry Methods Sarah Wiseman , Sandy Gould , Dominic Furniss , Anna Cox Errordiary: Support for Teaching Human Error 2012 Conference paper (text), CHI 2012 Workshop: A Contextualised Curriculum for HCI Jonathan Back , Anna Cox , Duncan Brumby Choosing to interleave: Human error and information access cost 2012 CHI '12: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Journal article Sarah Wiseman , Anna Cox , Duncan Brumby Designing for the task: what numbers are really used in hospitals? 2012 CHI EA '12: Proceedings of the Extended Abstracts of the ACM Conference on Human Factors in Computing Systems, Journal article Duncan Brumby , Anna Cox , Rose Johnson , Yvonne Rogers Embedding the CHI Student Design Competition into Project-Based Learning 2012 Conference paper (text), CHI 2012 Workshop: A Contextualised Curriculum for HCI Sandy Gould , Duncan Brumby , Anna Cox , V Gonzlez, D Salvucci, N Taatgen Multitasking and interruptions: A SIG on bridging the gap between research on the micro and macro worlds 2012 CHI EA '12: Proceedings of the Extended Abstracts of the ACM Conference on Human Factors in Computing Systems, Journal article, New York, NY, USA Anna Cox , Paul Cairns , P Shah, M Carroll Not doing but thinking: the role of challenge in the gaming experience 2012 CHI 2012, Conference paper (text), Austen, Texas A Kamsin,, AE Blandford,, Anna Cox Personal task management: my tools fall apart when I'm very busy! 2012 CHI 2012, Conference paper (text), Austen, Texas Sandy Gould , Anna Cox , Ann Blandford Using wikis to encourage collaborative writing and learning 2012 Conference paper (text), CHI 2012 Workshop: A Contextualised Curriculum for HCI S Jones, Sandy Gould , Anna Cox Snookered by an interruption? Use a cue 2012 BCS-HCI '12, Conference paper (text), Birmingham, UK Paul Cairns , Anna Cox , Duncan Brumby , Harold Thimbleby Teaching HCI students to be researchers 2012 Conference paper (text), CHI 2012 Workshop: A Contextualised Curriculum for HCI H Huang, R Ruk?nas, MGA Ament, Paul Curzon , Anna Cox , Ann Blandford , Duncan Brumby Capturing the distinction between task and device errors in a formal model of user behaviour 2011 FMIS 2011: Formal Methods for Interactive Systems, Journal article S Makri, Ann Blandford , Anna Cox , S Attfield, C Warwick Evaluating the Information Behaviour methods: Formative evaluations of two methods for assessing the functionality and usability of electronic information resources 2011 International Journal of Human-Computer Studies, Journal article S Makri, Ann Blandford , Anna Cox This is what Im doing and why: Methodological reflections on a naturalistic think-aloud study of interactive information behaviour 2010 Information Processing and Management, Journal article CP Janssen, Richard Young , MGA Ament, Jonathan Back , Duncan Brumby , Anna Cox , J Grace Cognitive modelling at the UCL Interaction Centre 2010 European ACT-R Workshop 2010, Conference paper (text), Proceedings of the European ACT-R Workshop 2010 EH Calvillo-Gamez, Paul Cairns , Anna Cox Assessing the Core Elements of the Gaming Experience 2010 Chapter Jonathan Back , Duncan Brumby , Anna Cox Locked-out: Investigating the effectiveness of system lockouts to reduce errors in routine tasks 2010 CHI EA '10: Proceedings of the Extended Abstracts of the ACM Conference on Human Factors in Computing Systems, Journal article Anna Cox , Duncan Brumby , Jonathan Back Workshop on understanding, predicting and mitigating error in routine procedural tasks 2010 CogSci 2010: Proceedings of the Annual Conference of the Cognitive Science Society, Journal article S Makri, Ann Blandford , Anna Cox This is what Im doing and why: Reflections on a think-aloud study of digital library users information behaviour 2010 JCDL'10, Conference paper (text), New York, US MGA Ament, Anna Cox , Ann Blandford , Duncan Brumby Working memory load affects device-specific but not task-specific error rates 2010 CogSci 2010: Proceedings of the Annual Conference of the Cognitive Science Society, Journal article Gamez E Calvillo, Paul Cairns , Anna Cox The Case of User Experience in Video Games 2009 CLIHC 2009, Conference paper (text) ST Hassard, Ann Blandford , Anna Cox Analogies in design decision-making 2009 BCS-HCI'09, Conference paper (text), New York, US MA Ament, Ann Blandford , Anna Cox Different Cognitive Mechanisms Account for Different Types of Procedural Steps 2009 CogSci'09, Conference paper (text) M Ament, Ann Blandford , Anna Cox Different Cognitive Mechanisms Account for Different Types of Procedural Steps 2009 Cognitive Science, Conference paper (text) JA Rode, E Baur, Anna Cox Ethnographic Personas 2009 EPIC 2009, Conference paper (text) Gamez E Calvillo, Paul Cairns , Anna Cox From the Gaming Experience to the Wider User Experience 2009 BCS-HCI 2009, Conference paper (text) Charlene Jennett , Anna Cox , Paul Cairns Investigating Computer Game Immersion and the Component Real World Dissociation 2009 CHI EA 2009, Conference paper (text), New York, US Charlene Jennett , Anna Cox , Paul Cairns Investigating Computer Game Immersion and the Component Real World Dissociation 2009 SIGCHI Conference on Human Factors in Computing Systems, Conference paper (text), Boston, MA Charlene Jennett , Anna Cox , Paul Cairns Being "In the Game" 2008 The Philosophy of Computer Games 2008, Conference paper (text), Potsdam, Germany S Makri, Ann Blandford , Anna Cox Using Information Behaviors to Evaluate the Functionality and Usability of Electronic Resources: From Ellis's Model to Evaluation 2008 Journal for the American Society of Information Science and Technology, Journal article Charlene Jennett , Anna Cox , Paul Cairns , S Dhoparee, A Epps, T Tijs, A Walton Measuring and defining the experience of immersion in games 2008 International Journal of Human-Computer Studies, Journal article Charlene Jennett , Anna Cox , Paul Cairns , S Dhoparee, A Epps, T Tijs, A Walton Measuring and Defining the Experience of Immersion in Games 2008 International Journal of Human-Computer Studies, Journal article Anna Cox , Paul Cairns , A Walton, S Lee Tlk or txt? Using voice input for SMS composition 2008 Personal and Ubiquitous Computing, Journal article Paul Cairns , Anna Cox Applying old research methods to new problems 2008 Chapter Charlene Jennett , Anna Cox , Paul Cairns Being "in the game" 2008 Philosophy of Computer Games, Conference paper (text), Potsdam, Germany Anna Cox , D Peebles Cognitive Modelling in HCI Research 2008 Chapter Ann Blandford , Anna Cox , Paul Cairns Controlled Experiments 2008 Chapter A Adams, Anna Cox Questionnaires, in-depth interviews and focus groups 2008 Chapter S Makri, Ann Blandford , Anna Cox Investigating the information-seeking behaviour of academic lawyers: From Ellis's model to design. 2008 Information Processing and Management, Journal article Anna Cox , Paul Cairns , Harold Thimbleby , N Webb Research Methods for HCI 2008 BCS-HCI 2008, Conference paper (text), Swindon, UK Paul Cairns , Anna Cox Using statistics in usability research 2008 Chapter S Makri, Ann Blandford , Anna Cox Investigating the information-seeking behaviour of academic lawyers: From Ellis's model to digital law library design. 2007 Information Processing and Management, Journal article S Makri, Ann Blandford , Anna Cox Ill just Google it!: Should lawyers perceptions of Google inform the design of electronic legal resources? 2007 WISI 2007 Workshop: Web Information-Seeking and Interaction, Conference paper (text), Amsterdam, The Netherlands Ann Blandford , Rachel Benedyk , Nadia Berthouze , Anna Cox , J Dowell The Challenges of Creating Connections and Raising Awareness: Experience from UCLIC 2007 INTERACT 2007, Conference paper (text), USA N Bianchi-Berthouze, Paul Cairns , Anna Cox , Charlene Jennett , WW Kim On Posture as a Modality for Expressing and Recognizing Emotions 2006 Other Paul Cairns , Anna Cox , Nadia Berthouze , S Dhoparee, Charlene Jennett Quantifying the Experience of Immersion in Games 2006 Cognitive Science of Games and Gameplay workshop at Cognitive Science 2006, Conference paper (text), Vancouver, Canada Anna Cox , Paul Cairns , Nadia Berthouze , Charlene Jennett The Use of Eyetracking for Measuring Immersion 2006 The Use of Eyetracking for Measuring Immersion. What have eye movements told us so far and what is next? workshop at Cognitive Science 2006, Conference paper (text), Vancouver, Canada S Makri, Ann Blandford , Anna Cox A Study of Legal Information Seeking Behaviour to Inform the Design of Electronic Legal Research Tools 2006 Conference paper (text), UCL, London S Makri, Ann Blandford , Anna Cox Studying Lawyers Information Seeking Behaviour to Inform the Design of Digital Law Libraries 2006 International Workshop on Digital Libraries in the Context of Users' Broader Activities (DL-CUBA) JCDL 2006, Conference paper (text), Chapel Hill, NC, USA M Silva, Anna Cox Can parafoveal processing explain skipping behaviour in interactive menu search? 2006 Journal of Vision, Journal article Simon Li , Anna Cox , Ann Blandford , Paul Cairns , Richard Young , A Abeles Further investigations into post-completion error: the effects of interruption position and duration 2006 CogSci 2006, Conference paper (text) N Bianchi-Berthouze, Paul Cairns , Anna Cox On posture as a modality for expressing and recognizing emotions. 2006 BCS-HCI 2008 Workshop: Emotion and HCI, Conference paper (text), BCS-HCI 2008 Workshop: Emotion and HCI R Barrett, Anna Cox , J Malcolm, C Lyon Plagiarism Prevention is Discipline Specific: a view from Computer Science. 2006 Journal for the Enhancement of Learning and Teaching, Journal article D Peebles, Anna Cox Modelling Interactive Behaviour with a Rational Cognitive Architecture 2006 Chapter, London Anna Cox , M Silva The role of mouse movements in interactive search 2006 CogSci 2006, Conference paper (text) Anna Cox , M Silva Using parafoveal processing to explain skipping behaviour in interactive menu search 2006 CogSci 2006 Workshop: What have eye movements told us so far, and what is next, Conference paper (text) M Silva, Anna Cox What have eye movements told us so far, and what is next? 2006 CogSci 2006, Conference paper (text) Paul Cairns , Anna Cox , Nadia Berthouze , Charlene Jennett , S Dhoparee Quantifying the experience of immersion in games. 2006 CogSci 2006 Workshop: Cognitive Science of Games and Gameplay, Conference paper (text), CogSci 2006 Workshop: Cognitive Science of Games and Gameplay Anna Cox , Paul Cairns , Nadia Berthouze , Charlene Jennett The use of eyetracking for measuring immersion. 2006 CogSci 2006 Workshop: What have eye movements told us so far, and what is next, Conference paper (text) R Barrett, Anna Cox At least they're learning something. The hazy line between collaboration and collusion 2005 Assessment and Evaluation in Higher Education, Journal article M Silva, Anna Cox Eye-movement behaviour in interactive menu search: Evidence for rational analysis. 2005 BPS Cognitive Section Conference 2005, Conference paper (text) Anna Cox , Richard Young A Rational Model of the Effect of Information Scent on the Exploration of Menus 2004 ICCM 2004, Conference paper (text) Anna Cox , A Walton Evaluating the viability of speech recognition for mobile text entry 2004 HCI 2004, Conference paper (text) Anna Cox , Richard Young Evidence for the Domainy-Device and Devicey-Device Distinction 2003 EuroCogSci 03, Conference paper (text) Richard Young , Anna Cox , M Greaves Random Walk Processes in ACT-R Mechanisms Lead to a Wild Distribution of Learning Times 2002 9th ACT-R Workshop, Conference paper (text) Anna Cox , Richard Young A Closer Look At Exploratory Learning of Interactive Devices. 2001 ICCM 2001, Conference paper (text) AF Blackwell, C Britton, Anna Cox , TRG Green, CA Gurr, GF Kadoda, M Kutar, M Loomes, CL Nehaniv, M Petre Cognitive Dimensions of Notations: Design tools for cognitive technology. 2001 Cognitive Technology 2001, Conference paper (text) Anna Cox What People Learn from Exploratory Device Learning 2001 ICCM 2001, Conference paper (text) Richard Young , Anna Cox A New Rational Framework for Modelling Exploratory Device Learning but does it Fit with ACT-R? 2000 6th ACT-R Workshop, Conference paper (text), Carnegie Mellon University Anna Cox , Richard Young Device-Oriented and Task-Oriented Exploratory Learning of Interactive Devices 2000 ICCM 2000, Conference paper (text), Veenendaal, The Netherlands Anna Cox Novice Users and Exploratory Learning of Interactive Devices. 2000 University of Sussex Post-Graduate Workshop: The Impact of Technology on Users: Breaking or Creating Boundaries?, Conference paper (text), University of Sussex Post-Graduate Workshop: The Impact of Technology on Users: Breaking or Creating Boundaries? Charlene Jennett , Anna Cox Digital Citizen Science and the Motivations of Volunteers N/A Chapter I Iacovides, Anna Cox , Dominic Furniss , C Myketiak Exploring empathy through sobering persuasive technologies: No breaks! Where are you going missy? N/A Performance, Demonstration presented at the 2014 BCS Conference on Human-Computer Interaction (BCS-HCI 2014), Southport, UK Anna Cox Exploratory Learning of Interactive Devices: What People Do and What People Learn N/A Thesis / Dissertation I Iacovides, Anna Cox , P McAndrew, J Aczel, E Scanlon Game-Play Breakdowns and Breakthroughs: Exploring the Relationship Between Action, Understanding, and Involvement N/A Human Computer Interaction, Journal article Charlene Jennett , Iacovides, P Skands, H Shomar, Anna Cox Gamification in citizen science: Projects in particle physics and synthetic biology N/A Poster, Gamification 2013 Stratford, ON, Canada Parent Departments University College London UCL Computer Science UCL Division of Psychology and Language Sciences Collaborations ICRI UCL Institute of Digital Health Global Disability Innovation Hub Connect with us About UCLIC Meet UCLIC people UCL Interaction Centre - University College London, 2nd floor 66-72 Gower Street, London, WC1E 6BT Tel: +44 (0) 20 3108 7050 2001-2019 UCLIC Disclaimer Freedom of Information Accessibility Privacy Cookies Contact Us Intranet Top diff --git a/src/data/compiled_bios/1022.txt b/src/data/compiled_bios/1022.txt new file mode 100644 index 0000000000..bcd014d136 --- /dev/null +++ b/src/data/compiled_bios/1022.txt @@ -0,0 +1 @@ + Toby Cubitt Role Reader in Quantum Information Office GS3.12 Office Location University College London Dept. of Computer Science 66-72 Gower Street London WC1E 6EA United Kingdom Tel +44 (0)20 3108 7158 (Direct Dial) Internal 57158 Fax +44 (0)20 7387 1397 Email T.Cubitt (at) cs.ucl.ac.uk Postal Address University College London Dept. of Computer Science Gower Street London WC1E 6BT United Kingdom Group Intelligent Systems Personal Pages (None) diff --git a/src/data/compiled_bios/1023.txt b/src/data/compiled_bios/1023.txt new file mode 100644 index 0000000000..59449c0374 --- /dev/null +++ b/src/data/compiled_bios/1023.txt @@ -0,0 +1 @@ + Home Publications Bio Contact George Danezis Professor of Security and Privacy Engineering Older photos: Address: University College London Dept. of Computer Science Gower Street London WC1E 6BT United Kingdom Skype: george_danezis Email: g.danezis at ucl.ac.uk Office: MPEB 4.13 I am a Professor of Security and Privacy Engineering at the Information Security Group of the Computer Science department at University College London . I am also a faculty fellow at the Turing Institute . From Sept. 2018 I am part time at UCL to focus on a number of commercialization & industrial activities: I am a Research Scientist at the Blockchain team of Facebook based in London. I advise Vega Protocol , NYM Technologies , Privitar , and Sperical Defence on all matters related to privacy engineering, distributed systems security and cybersecurity. I was a co-founder, and chief scientist at chainspace.io , which builds a scalable smart contract platform. This webpage will be kept up to date in relation to my research work. Research interests : I research computer security , privacy , and in particular anonymous communications , traffic analysis , statistical inference , smart metering and peer-to-peer security . I have a special interest in the application of modern machine learning to security problems, as well as distributed ledgers. You can see my full CV and a short bio . Group : Within the Information Security group , I currently supervise Jamie Hayes , Raphael Toledo , Ania Piotrowska , Marios Isaakidis , Vasilis Mavroudis , Mustafa Al-Bassam , Alberto Sonnino and Maria Schett . Sebastian Meiser is currently a post-doctoral researcher working with me. Previously, Shehar Bano was a member of my team. Research positions & PhD supervision : I am an active researcher in computer security and privacy , and always on the lookout for talented post-doctoral researchers and doctoral (PhD) students to join our group at UCL . Interested candidates should email me with a copy of their Curriculum Vitae and a short research statement . Teaching, thesis and project supervision : I taught two classes for the UCL MSc in Information Security , namely Computer Security I (GA01) and one of the few Privacy Enhancing Technologies (GA17) courses in the world. I am keen to supervise undergraduate or MSc projects on security and privacy, and have some project ideas . My office hours relating to taught courses are integrated within the lecture series (as a fourth optional hour-long slot), and I am available for one-on-one meetings with students and tutees, usually on Tuesdays 11-12 in term time, or as arranged by email. Funding and other activities : My research has been funded by the EU ( Panoramix , Nextleap , Decode ), the EPSRC, MSR, ACE (GCHQ) and UCL. I sit on the board of the PET Symposium , and the ACM CCS and IH&MMS steering committees. I am a fellow of the Cambridge Centre for Science and Policy , and on the advisory board of the Simply Secure Project , the Open Rights Group and before Privacy International . I am open to short-term consultancy engagements around computer security and privacy research, or design reviews, through UCL Consultants . Publications All Privacy Anonymity Machine Learning Peer-to-peer & Blockchains Crypto Policy & Econ Social Applications Tor Location Identity Security Data Recent or forthcoming New! Coconut: Threshold Issuance Selective Disclosure Credentials with Applications to Distributed Ledgers . Alberto Sonnino, Mustafa Al-Bassam, Shehar Bano, George Danezis: NDSS 2019. ClaimChain: Improving the Security and Privacy of In-band Key Distribution for Messaging . Bogdan Kulynych, Wouter Lueks, Marios Isaakidis, George Danezis, and Carmela Troncoso. WPES 2018. Scoping the Cyber Security Body of Knowledge . Awais Rashid, George Danezis, Howard Chivers, Emil Lupu, Andrew Martin, Makayla Lewis, Claudia Peersman. IEEE Security & Privacy 16(3): 96-102 (2018). Learning Universal Adversarial Perturbations with Generative Models . Jamie Hayes, George Danezis. EuroS&P 2018. TARANET: Traffic-Analysis Resistant Anonymity at the NETwork layer . Chen Chen, Daniele E Asoni, Adrian Perrig, David Barrera, George Danezis, Carmela Troncoso. IEEE Symposium on Security and Privacy Workshops 2018: 43-49. Chainspace: A Sharded Smart Contracts Platform . Mustafa Al-Bassam, Alberto Sonnino, Shehar Bano, Dave Hrycyszyn and George Danezis. NDSS 2018. The Road to Scalable Blockchain Designs . Shehar Bano, Mustafa Al-Bassam, and George Danezis. USENIX login mag. 2018. Privacy-preserving smart metering revisited . Alfredo Rial, Markulf Kohlweiss and George Danezis. M. Int. J. Inf. Secur. (2018). Generating steganographic images via adversarial training . Jamie Hayes, George Danezis. NIPS 2017. A Touch of Evil: High-Assurance Cryptographic Hardware from Untrusted Components . Vasilios Mavroudis, Andrea Cerulli, Petr Svenda, Dan Cvrcek, Dusan Klinec and George Danezis. ACM CCS 2017. The Loopix Anonymity System . Ania M. Piotrowska, Jamie Hayes, Tariq Elahi, Sebastian Meiser and George Danezis. USENIX Security Symposium 2017. AnNotify: A Private Notification Service . Ania Piotrowska, Jamie Hayes, Nethanel Gelernter, George Danezis and Amir Herzberg. WPES 2017. Mix-ORAM: Using delegate shuffles . Raphael R. Toledo, George Danezis and Isao Echizen. WPES 2017. Systematizing Decentralization and Privacy: Lessons from 15 years of research and deployments . Carmela Troncoso, George Danezis, Marios Isaakidis and Harry Halpin. PoPETs 2017 (4):307329. LiLAC: Lightweight Low-Latency Anonymous Chat . J. P. Podolanko, R. Pobala, H. Mucklai, G. Danezis and M. Wright. Privacy-Aware Computing (IEEE PAC 2017). Published UnlimitID: Privacy-Preserving Federated Identity Management using Algebraic MACs . Marios Isaakidis, Harry Halpin and George Danezis. Short Paper in WPES 2016. TASP: Towards Anonymity Sets that Persist . Jamie Hayes, Carmela Troncoso and George Danezis. Short Paper in WPES 2016. k-fingerprinting: a Robust Scalable Website Fingerprinting Technique. Jamie Hayes and George Danezis. USENIX Security 2016. Lower-Cost epsilon-Private Information Retrieval . Raphael R. Toledo, George Danezis and Ian Goldberg . Proceedings on Privacy Enhancing Technologies 2016. Centrally Banked Cryptocurrencies . George Danezis and Sarah Meiklejohn. ISoc NDSS 2016, San Diego 2016. Efficient Private Statistics with Succinct Sketches Luca Melis, George Danezis and Emiliano De Cristofaro. ISoc NDSS 2016, San Diego 2016. HORNET: High-speed Onion Routing at the Network Layer. Chen Chen, Daniele Enrico Asoni, David Barrera, George Danezis, Adrian Perrig. ACM CCS 2015, Denver 2015. DP5: A Private Presence Service . Nikita Borisov, George Danezis, and Ian Goldberg. Proceedings on Privacy Enhancing Technologies 2015. Toward Mending Two Nation-Scale Brokered Identification Systems . Lus T. A. N. Brando, Nicolas Christin, George Danezis, and Anonymous. Proceedings on Privacy Enhancing Technologies 2015. Guard Sets for Onion Routing . Jamie Hayes and George Danezis. Proceedings on Privacy Enhancing Technologies 2015. 2010 - 2015 An Automated Social Graph De-anonymization Technique. Kumar Sharad and George Danezis. ACM WPES 2014: Workshop on Privacy in the Electronic Society, Arizona 2014. PrivEx: Private Collection of Traffic Statistics for Anonymous Communication Networks. Tariq Elahi, George Danezis and Ian Goldberg. ACM CCS 2014, Arizona 2014. Square Span Programs with Applications to Succinct NIZK Arguments. George Danezis, Cedric Fournet, Jens Groth and Markulf Kohlweiss. Asiacrypt 2014. Fast and Private Genomic Testing for Disease Susceptibility George Danezis and Emiliano De Cristofaro. ACM WPES 2014: Workshop on Privacy in the Electronic Society, Arizona 2014. Bayesian Inference of Accurate Population Sizes and FRET Efficiencies from Single Diffusing Biomolecules. . RR Murphy, G Danezis, MH Horrocks, SE Jackson, D Klenerman. Anal Chem (2014) 86, 140818151029005. You Cannot Hide for Long: De-Anonymization of Real-World Dynamic Behaviour . George Danezis and Carmela Troncoso. ACM WPES 2013: Workshop on Privacy in the Electronic Society 2013. Smart Meter Aggregation via Secret-Sharing . George Danezis, Cedric Fournet, Markulf Kohlweiss and Santiago Zanella-Beguelin. ACM SEGS 2013: Smart Energy Grid Security Workshop, 2013. Pinocchio Coin: Building Zerocoin from a Succinct Pairing-based Proof System . George Danezis, Cedric Fournet, Markulf Kohlweiss and Bryan Parno. PETShop: Workshop on Language Support for Privacy Enhancing Technologies, 2013. ZQL: A Compiler for Privacy-Preserving Data Processing . Cedric Fournet, Markulf Kohlweiss, George Danezis and Zhengqin Luo. USENIX Security Symposium 2013. Verified Computational Differential Privacy with Applications to Smart Metering Gilles Barthe, George Danezis, Benjamin Gregoire, Cesar Kunz, and Santiago Zanella-Beguelin. IEEE Computer Security Foundations Symposium, IEEE, 2013 Private Client-Side Profiling with Random Forests and Hidden Markov Models . George Danezis, Markulf Kohlweiss, Benjamin Livshits, Alfredo Rial. Privacy Enhancing Technologies 2012 The Dangers of Composing Anonymity Channels . George Danezis and Emilia Kasper. Information Hiding Conference (IH 2012) Designing Privacy-preserving Smart Meters with Low-cost Microcontrollers . Andres Molina-Markham, George Danezis, Kevin Fu, Prashant Shenoy and David Irwin. Financial Cryptography and Data Security 2012. Privacy-Preserving Smart Metering . Alfredo Rial and George Danezis. ACM Workshop on Privacy in the Electronic Society (WPES 2011) Towards Ensuring Client-Side Computational Integrity (Position Paper) . George Danezis and Benjamin Livshits. ACM Cloud Computing Security Workshop (CCSW 2011) Privacy-friendly Aggregation for the Smart-grid . Klaus Kursawe, George Danezis and Markulf Kohlweiss. Privacy Enhancing Technologies 2011 Quantifying Location Privacy: The Case of Sporadic Location Exposure . Reza Shokri and George Theodorakopoulos, George Danezis, and Jean-Pierre Hubaux and Jean-Yves Le Boudec. Privacy Enhancing Technologies 2011 Differentially Private Billing with Rebates . Markulf Kohlweiss, George Danezis, Alfredo Rial. Information Hiding 2011 2005 - 2010 Drac: An Architecture for Anonymous Low-Volume Communications . George Danezis, Claudia Diaz, Carmela Troncoso, Ben laurie. Privacy Enhancing Technologies (PET2010) How to share your favourite search results while preserving privacy and quality . George Danezis, Tuomas Aura, Shuo Chen, and Emre Kiciman. Privacy Enhancing Technologies (PET2010) Inferring Privacy policies for Social network Services . George Danezis. AISec 2009. The Bayesian Traffic Analysis of Mix networks . Carmela Troncoso and George Danezis. ACM CCS 2009. The wisdom of Crowds: attacks and optimal constructions George Danezis, Claudia Diaz, Emilia Kasper, and Carmela Troncoso. ESORICS 2009. Vida: How to use Bayesian inference to de-anonymize persistent communications . George Danezis and Carmela Troncoso. Privacy Enhancing Technologies Symposium (PETS 2009) Prying Data out of a Social Network . Joseph Bonneau, Jonathan Anderson and George Danezis. International Conference on Social Network Analysis and Mining (ASONAM 2009) The least privacy-damaging centralised traffic data retention architecture (Extended abstract). George Danezis. Cambridge Security Protocols Worekshop (SPW 2009). Sphinx: A Compact and Provably Secure Mix Format . George Danezis and Ian Goldberg. IEEE Symposium on Security and Privacy 2009. Privacy-Preserving 802.11 Access-Point Discovery . Janne Lindqvist, Tuomas Aura, George Danezis, Teemu Koponen, Annu Myllyniemi, Jussi Mki and Michael Roe. ACM Conference on Wireless Network Security (WiSec'09) SybilInfer: Detecting Sybil Nodes using Social Networks . George Danezis and Prateek Mittal. Network & Distributed System Security Symposium (NDSS 2009) Identification via Location-Profiling in GSM Networks . Yoni De Mulder, George Danezis, Lejla Batina and Bart Preneel. Workshop on Privacy in the Electronic Society (WPES 2008) Bridging and Fingerprinting: Epistemic Attacks on Route Selection . George Danezis and Paul Syverson. Privacy Enhancing Technologies Symposium (PETS 2008) How to Bypass Two Anonymity Revocation Schemes . George Danezis and Len Sassaman. Privacy Enhancing Technologies Symposium (PETS 2008) Covert Communications Despite Traffic Data Retention. George Danezis. Cambridge Security Protocols Workshop (SPW 2008). Fighting the Good Internet War . Daniel Cvrcek and George Danezis. Cambridge Security Protocols Workshop (SPW 2008). Denial of Service or Denial of Security? How Attacks on Reliability can Compromise Anonymity . Nikita Borisov, George Danezis, Prateek Mittal and Parisa Tabriz. ACM CCS 2007. PriPAYD: Privacy Friendly Pay-As-You-Drive Insurance . B. Preneel, C. Troncoso, G. Danezis, and E. Kosta. ACM Workshop on Privacy in the Electronic Society 2007 Does additional information always reduce anonymity? . C. Diaz, C. Troncoso, and G. Danezis. ACM Workshop on Privacy in the Electronic Society 2007. Efficient Negative Databases from Cryptographic Hash Functions . G. Danezis, C. Diaz, S. Faust, E. Ksper, B. Preneel, and C. Troncoso. 10th Information Security Conference (ISC 2007). Two-sided Statistical Disclosure Attack . George Danezis, Claudia Diaz and Carmela Troncoso. PET 2007. Private Yet Abuse Resistant Open Publishing . George Danezis and Ben Laurie. XVth Security Protocols Workshop (2007) Space-Efficient Private Search with Applications to Rateless Codes . George Danezis and Claudia Diaz. Financial Cryptoraphy 2007. Study on the Price of Privacy . Dan Cvrcek, Marek Kumpost, Vashek Matyas and George Danezis. ACM WPES 2006. A Pact with the Devil . Mike Bond and George Danezis. New Security Paradigms Workshop 2006, Dagstuhl, Germany. Route Fingerprinting in Anonymous Communications . George Danezis and Richard Clayton. 6th IEEE International Conference on Peer-to-Peer Computing, Cambridge 2006. Breaking Four Mix-related Schemes Based on Universal Re-encryption . George Danezis. Information Security Conference 2006. The Economics of Mass Surveillance and the Questionable Value of Anonymous Communications . George Danezis, Bettina Wittneben. WEIS 2006. The Value of Location Information: A European-Wide Study . Dan Cvrcek, Marek Kumpost, Vashek Matyas and George Danezis. Cambridge Security Protocols Workshop 2006. Sybil-resistant DHT routing . George Danezis, Chris Lesniewski-Laas, M. Frans Kaashoek and Ross Anderson. ESORICS 2005. Compulsion Resistant Anonymous Communications . George Danezis and Jolyon Clulow. 7th Information Hiding Workshop, Barcelona, Spain. 2000 - 2005 How Much is Location Privacy Worth? . George Danezis, Stephen Lewis and Ross Anderson. Fourth Workshop on the Economics of Information Security (WEIS 2005). Low-cost Traffic Analysis of Tor. Steven J. Murdoch and George Danezis. 2005 IEEE Symposium on Security and Privacy, May 8-11, 2005, Oakland, California, USA. The Dining Freemasons (Security Protocols for Secret Societies) . Mike Bond and George Danezis. Thirteenth International Workshop on Security Protocols 2005. The economics of resisting censorship . George Danezis, Ross Anderson. Security & Privacy Magazine, IEEE, Volume: 3, Issue: 1, Year: Jan.-Feb. 2005, Page(s): 45- 50. Minx: A Simple and Efficient Anonymous Packet Format George Danezis and Ben Laurie. WPES 2004. Mix Cascades vs. Peer-to-Peer: Is One Concept Superior? . Rainer Bohme, George Danezis, Claudia Diaz, Stefan Kopsell, and Andreas Pfitzmann. Privacy Enhancing Technologies Workshop 2004 The Traffic Analysis of Continuous-Time Mixes. George Danezis. Privacy Enhancing Technologies Workshop 2004. The Economics of Censorship Resistance . George Danezis, Ross Anderson. Worshop on Economics and Information Security 2004. Statistical Disclosure or Intersection Attacks on Anonymity Systems . George Danezis, Andrei Serjantov. Information Hiding 2004. Heartbeat Traffic to Counter (n-1) Attacks . George Danezis, Len Sassaman. WPES'03. The Statistical Disclosure Attack . George Danezis. Sec2003 Mixminion: Design of a Type III Anonymous Remailer . George Danezis, Roger Dingledine, Nick Mathewson. IEEE Security & Privacy 2003. Mix-networks with Restricted Routes George Danezis. PET 2003. Forward Secure Mixes . George Danezis. NORDSEC 2002. Chaffinch: Confidentiality in the Face of Legal Threats . Richard Clayton, George Danezis. Information Hiding 2002 Towards an Information Theoretic Metric for Anonymity . Andrei Serjantov, George Danezis. Privacy Enhancing Technologies 2002. Award at PET2003 . Real World Patterns of Failure in Anonymity Systems . Richard Clayton, George Danezis, Markus G. Kuhn. Information Hiding 2001: 230-244. Unpublished manuscripts / lecture notes / invited talks / hard science A Public Comment on NCCoE's White Paper on Privacy-Enhancing Identity Brokers . Lus T. A. N. Brando, Nicolas Christin, George Danezis. arXiv:1611.02968 Eclipse and Re-Emergence of Anonymous P2P Storage Network Overlay Services . Marios Isaakidis and George Danezis. HotPETs 2016. Introducing Traffic Analysis: Attacks, Defences and Public Policy Issues... (Invited Talk). George Danezis. Santa's Crypto Get-together. Prague, December 2005. Also at 23C3, Berlin . Traffic Analysis of the HTTP Protocol over TLS. George Danezis. Driftware online publication. A pact with the Devil . Mike Bond, George Danezis. Technical report UCAM-CL-TR-666, University of Cambridge, Computer Laboratory, June 2006 Introducing Traffic Analysis . George Danezis and Richard Clayton. Chapter in Digital privacy . Auerbach Publications, ISBN: 9781420052176. A survey of anonymous communication channels . George Danezis and Claudia Diaz. Microsoft Research Technical Report (MSR-TR-2008-35). January 2008. Measuring anonymity: a few thoughts and a differentially private bound . George Danezis. DIMACS Workshop on Measuring Anonymity, May 2013. Accurate Intramolecular Distances by Single Molecule Confocal Spectroscopy: A Monte Carlo Markov Chain Analysis of Fluorescence Data from Freely Diffusing Biomolecules . Rebecca R. Murphy, George Danezis, Sophie E. Jackson, David Klenerman. Biophysical Journal, Volume 104, Issue 2, Supplement 1, 29 January 2013, Pages 174a. Biographical details Before joining UCL I was a researcher at Microsoft Research Cambridge from 2007 to 2013. Between 2005 and 2007 I was a post-doctoral visiting fellow at Prof. Bart Preneel 's COSIC group at K.U.Leuven, Belgium. With Claudia Diaz we were coordinating the COSIC Privacy Group . Until 2005 I was a research assistant in the Security Group , of the Computer Laboratory of the University of Cambridge , working on anonymous communications, peer-to-peer networks and censorship resistance where I got my Ph.D under the supervision of Prof. Ross J. Anderson , in the security group . My doctoral thesis entitled Better Anonymous Communications and the associated technical report Designing and Attacking Anonymous Communication Systems (UCAM-CL-TR-594) are available. I received my B.A. (Hons) in Computer Science from Queens' College , where I am a foundation scholar. Social conspicuous chatter (blog) github (code) @GDanezis (twitter) LinkedIn (schmooze) Publications Google Scholar DBLP Research Gate UCL Iris Arxiv (hot!) Courses Computer Security I (GA01) Privacy Enhancing Technologies (GA17) diff --git a/src/data/compiled_bios/1024.txt b/src/data/compiled_bios/1024.txt new file mode 100644 index 0000000000..392b987bdf --- /dev/null +++ b/src/data/compiled_bios/1024.txt @@ -0,0 +1 @@ + Home Publications Service Rsum . Contact . Email: e.decristofaro (at) ucl (dot) ac (dot) uk Phone: +44 20 7679 0349 (email before calling) GPG: 4099EA23ADE1F8BD Signal: upon request Twitter: @emilianoucl . . Emiliano De Cristofaro . Associate Professor in Security and Privacy Enhancing Technologies Head of the Information Security Research Group Department of Computer Science, University College London Gower Street, London WC1E 6BT, United Kingdom 6.21A Malet Place Engineering Building ( map ) . Home Short Bio I am an Associate Professor ("Reader" until recently) in Security and Privacy Enhancing Technologies at University College London ( UCL )'s Computer Science Department , where I head the Information Security Research Group . I am also a Faculty Fellow at the Turing Institute , the national institute for data science and AI. Before joining UCL in 2013, I was a research scientist at Xerox PARC . I received a summa-cum-laude Laurea degree in Computer Science from the University of Salerno, Italy (2005), then, in 2011, a PhD in Networked Systems from the University of California, Irvine, advised by Gene Tsudik . My dissertation, titled "Sharing Sensitive Information with Privacy," can be found here . During my PhD, I also spent a few months on research internships at NEC in Heidelberg (2008), INRIA in Grenoble (2009), and Nokia in Lausanne (2010). Overall, I do research in security and privacy-enhancing technologies. These days I work on understanding and countering security issues via measurement studies and data-driven analysis, as well as tackling problems at the intersection of machine learning and security/privacy. Recent News Several PhD and post-doc positions available! See https://emilianodc.com/positions.html PhD position funded through Microsoft Research PhD Scholarship Program to work on security and privacy in machine learning Paper accepted in the ACM Transactions of Privacy and Security (TOPS): "MaMaDroid: Detecting Android Malware by Building Markov Chains of Behavioral Models (Extended Version)" congrats Lucky and Enrico! $100,000 grant awarded from Amazon ( Amazon Research Award ) for studying and mitigating attacks on collaborative learning Paper accepted at WWW : "Privacy-Preserving Crowd-Sourcing of Web Searches with Private Data Donor" congrats Vincent et al.! Joined the PC of Oakland 2020 and ACM CCS 2019 Our paper "On the Origins of Memes by Means of Fringe Web Communities" ( PDF ) won distinguished paper award at IMC congrats Savvas et al.! Paper accepted at IEEE S&P ( "Oakland" ): "Exploiting Unintended Feature Leakage in Collaborative Learning" ( PDF ) congrats Luca et al.! Two papers accepted at PETS 2019 : "LOGAN: Membership Inference Attacks Against Generative Models" ( PDF ) and "Systematizing Genome Privacy Research: A Privacy-Enhancing Technologies Perspective" ( PDF ) congrats Alexandros, Luca, and Jamie! Research Group Matthew Wixey (PhD student, co-supervised with Shane Johnson , Jan 2018) Vincent Primault (Post-Doctoral Researcher, Oct 2017) Bristena Oprisanu (PhD student, Sep 2017) Alexandros Mittos (PhD student, Aug 2016) Apostolos Pyrgelis (PhD student, May 2015Nov 2018); now Post-Doctoral Researcher at EPFL Lucky Onwozurike (PhD student, Sep 2014Oct 2018); now Senior Security Consultant at Ernst & Young London Luca Melis (PhD student, Sep 2014Aug 2018); now Research Scientist at Amazon New York Lukasz Olejnik (Post-Doctoral researcher, Mar 2016Mar 2017); now at W3C I am also very lucky to collaborate with a number of other students at UCL and elsewhere, including Savvas Zannettou , Enrico Mariconti , Despoina Chatzakou , Jamie Hayes , and Andrea Cerulli . Teaching (2018-19) Privacy Enhancing Technologies (Term 2) Computer Security 2 (Term 2) Personal I was born in Avellino, a small town in South of Italy on the green hills of Irpinia . Irpinia is known for its landscapes , medieval castles , hazelnuts, black truffles , torrone , and some great wines like Taurasi, Fiano di Avellino, and Greco di Tufo (which I know of thanks to my brother Paolo who is a top wine journalist). I have spent six awesome years in sunny California (4 in Irvine and 2 in Palo Alto), before moving to (pre-Brexit) London. I have also lived in Venice, Rome, Portsmouth, Heidelberg, Singapore, Grenoble, Lausanne, and Barcelona. In my free time, I like acting as a coffee snob, pretending to be akin to a movie critic, remembering (not without melancholy) the times I used to surf in San Onofre, cooking (pasta and pizza of course), and planning trips with my better half, Darya. I speak English, Italian, and French, and can utter enough words to get out of (or in, most of the times) trouble in German, Spanish, and Farsi. diff --git a/src/data/compiled_bios/1025.txt b/src/data/compiled_bios/1025.txt new file mode 100644 index 0000000000..f2ef0d41fd --- /dev/null +++ b/src/data/compiled_bios/1025.txt @@ -0,0 +1 @@ + DBC & CIG , University of Lausanne GEE & CS , University College London Swiss Institute of Bioinformatics DESSIMOZ LAB Computational Evolutionary Biology Home People Research Teaching Publications Blog Links Opportunities Addresses University of Lausanne (UNIL) Genopode 2021 1015 Lausanne Switzerland map +41 21 692 4155 University College London (UCL) Darwin Building, Gower Street London, WC1E 6BT United Kingdom map +44 20 7679 0079 How to stay in touch Email: (max 1-2 emails/month, no spam!) Latest blog posts Exclusive: European Tour of Antonis Rokas Predicting QTL genes by integrating functional data across species Over 10 computational biology positions at PhD, postdoc and group leader level Laboratory of Computational Evolutionary Biology At the interface between biology and computer science, our laboratory seeks to better understand evolutionary and functional relationships between genes, genomes, and species. (more info) Affiliations UNIL Department of Computational Biology UNIL Center of Integrative Genomics UCL Department of Genetics, Evolution & Environment UCL Department of Computer Science Swiss Institute of Bioinformatics Funding Keywords Computational biology, bioinformatics, evolution, big data, algorithms, data science, sequence analysis, phylogenomics, phylogenetic, modelling, simulation, comparative genomics, sequence alignment, high-performance computing, benchmarking Last modified on February 17th, 2019. diff --git a/src/data/compiled_bios/1026.txt b/src/data/compiled_bios/1026.txt new file mode 100644 index 0000000000..6bd31c5e8e --- /dev/null +++ b/src/data/compiled_bios/1026.txt @@ -0,0 +1 @@ + Dr John Dowell Department of Computer Science University College London office address: 90 High Holborn, London. WC1V 6LJ https://goo.gl/maps/wFGdsx2WpC52 j.dowell@cs.ucl.ac.uk skype: drjohndowell Open office hours are 1-2 pm on Mondays and Wednesdays, available for students without appointments. My research investigates adaptation and personalisation, smart interfaces, and media multi-tasking interfaces. The work has application to productivity apps and mobile apps, smart meeting rooms and collaborative learning environments. It combines human factors and systems engineering approaches to developing novel user interface concepts and design techniques. Funding has been generously provided by the research councils, the European Union, industry and by central government agencies. Published work can be found in the UCL Research Publications System and on Google scholar. diff --git a/src/data/compiled_bios/1027.txt b/src/data/compiled_bios/1027.txt new file mode 100644 index 0000000000..e900c0e407 --- /dev/null +++ b/src/data/compiled_bios/1027.txt @@ -0,0 +1 @@ + UCL Microstructure Imaging Group UCL CMIC MIG Ivana Drobnjak Ivana Drobnjak, DPhil (Oxon), MSc (Oxon) Lecturer, University College London Computer Science Department University College London Gower Street, London WC1E 6BT e-mail: i.drobnjak@ucl.ac.uk tel: +44 (0) 2076794117, local 34117 Research Microstructure Imaging POSSUM - Physics Oriented Simulated Scannerfor Understanding MRI Publications My IRIS profile Google Scholar CV Since 2015 Lecturer Centre for Medical Image Computing Department of Computer Science, UCL 2012 -2015 Leverhulme Trust Research Fellow Centre for Medical Image Computing Department of Computer Science, UCL 2009 - 2012 Postdoctoral Research Associate Centre for Medical Image Computing, UCL 2008 - 2011 Stipendary Lecturer Pembroke College, University of Oxford 2006 - 2008 Junior Research Fellow Pembroke College, University of Oxford 2007 - 2009 Postdoctoral Research Associate FMRIB Centre, University of Oxford 2003 - 2007 DPhil Student in Mathematical Medicine Linacre College, University of Oxford DPhil Thesis FMRI Simulator: Development and Applications Contents and Abstracts [ PDF ] Chapter 1: Introduction [ PDF ] Chapter 2: Principles of FMRI [ PDF ] Chapter 3: Simulator model development [ PDF ] Chapter 4: Simulator implementation [ PDF ] Chapter 5: Simulator validation [ PDF ] Chapter 6: Simulator applications [ PDF ] Chapter 7: Conclusions and future directions [ PDF ] Appendix and References [ PDF ] Download the whole thesis here . Page last modified on January 12, 2016 diff --git a/src/data/compiled_bios/1028.txt b/src/data/compiled_bios/1028.txt new file mode 100644 index 0000000000..d50152e867 --- /dev/null +++ b/src/data/compiled_bios/1028.txt @@ -0,0 +1 @@ + UCL >> Department of Computer Science >> Software Systems Engineering Group >> Prof. Wolfgang Emmerich Home Profile Research Interests PhD Students Former PhD Students Publications Teaching CV (in PDF) Directions ACM Author Profile Impact Cycling Professor Wolfgang Emmerich Dr. rer-nat, Dipl.-Inform., CEng, MACM, MIEE Professor of Distributed Computing Head of Software Systems Engineering Director of Research Department of Computer Science University College London Malet Place Engineering Building London WC1E 6BT United Kingdom TEL : +44 20 7679 4413 FAX : +44 20 7387 1397 EMAIL: W.Emmerich at cs.ucl.ac.uk PGP: PGP Public Key Last Updated: July 2006 Contact: Page Maintainer diff --git a/src/data/compiled_bios/1029.txt b/src/data/compiled_bios/1029.txt new file mode 100644 index 0000000000..1a1d070876 --- /dev/null +++ b/src/data/compiled_bios/1029.txt @@ -0,0 +1 @@ + Chris Evans Role Teaching Fellow Office GS2.07 Office Location University College London Dept. of Computer Science 66-72 Gower Street London WC1E 6EA United Kingdom Tel +44 (0)20 7679 TBA (Direct Dial) Internal TBA Fax +44 (0)20 7387 1397 Email C.Evans (at) cs.ucl.ac.uk Postal Address University College London Dept. of Computer Science Gower Street London WC1E 6BT United Kingdom Group Advanced Teaching Group Human Centred Systems Personal Pages (None) diff --git a/src/data/compiled_bios/103.txt b/src/data/compiled_bios/103.txt new file mode 100644 index 0000000000..b8afdb6225 --- /dev/null +++ b/src/data/compiled_bios/103.txt @@ -0,0 +1 @@ +Charles M. Lieber was born in Philadelphia, Pennsylvania in 1959. He attended Franklin and Marshall College for his undergraduate education and graduated with honors in Chemistry. After doctoral studies at Stanford University and postdoctoral research at the California Institute of Technology, he moved to the east coast in 1987 to assume the position of Assistant Professor of Chemistry at Columbia University. Here Lieber embarked upon a new research program addressing the synthesis and properties of low-dimensional materials. He moved to Harvard University in 1991 and now holds a joint appointment in the Department of Chemistry and Chemical Biology, as the Mark Hyman Professor of Chemistry, and the Harvard John A. Paulson School of Engineering and Applied Sciences. He has served as the Chair of the Department of Chemistry and Chemical Biology since 2015. Lieber is Co-Editor of the journal Nano Letters, and serves on the Editorial and Advisory Boards of many science and technology journals. Lieber has published over 380 papers in peer-reviewed journals and is the principal inventor on more than 50 issued U.S. patents. Lieber has been active in commercializing nanotechnology, and founded the nanotechnology company Nanosys, Inc. in 2001 and the nanosensor company Vista Therapeutics in 2007.At Harvard, Lieber has pioneered the synthesis of a broad range of nanoscale materials, the characterization of the unique physical properties of these materials and the development of methods of hierarchical assembly of nanoscale wires, together with the demonstration of applications of these materials in areas ranging from electronics, computing, photonics, and energy science to biology and medicine.Over the past decade, the development of nanoelectronics-enabled cellular tools of increasing sophistication and power has become a central focus in Liebers laboratory. Examples of this work include integration of arrays of nanowire transistors with neurons at the scale that the brain is wired biologically, mapping functional activity in acute brain slices with high spatiotemporal resolution, and a 3D structure capable of interfacing with complex neural networks. Using macroporous 3D sensor arrays as tissue scaffolds to mimic the structure of natural tissue, he generated synthetic tissues that can be innervated in 3D. Liebers current work also focuses on integrating electronics in a non-invasive manner within the central nervous system. Most recently, he has demonstrated that this polymer-like mesh electronics can be injected by syringe to position devices in a chosen region of the brain. Chronic histology and multiplexed recording studies demonstrate absence of immune response and noninvasive integration of the injectable electronics with neuronal circuitry, resulting in recording stability on time scales of up to a year. The Lieber groups concept of and focus on seamless integration of electronics with the brain to serve as a therapeutic tools capable of treating neurological and neurodegenerative diseases, stroke and traumatic injury is drawing increasing attention from the scientific and medical communities. diff --git a/src/data/compiled_bios/1030.txt b/src/data/compiled_bios/1030.txt new file mode 100644 index 0000000000..2f610ac9bd --- /dev/null +++ b/src/data/compiled_bios/1030.txt @@ -0,0 +1 @@ + Delmiro Fernandez-Reyes Role Reader in Digital Health Office GS4.10 Office Location University College London Dept. of Computer Science 66-72 Gower Street London WC1E 6EA United Kingdom Tel +44 (0)20 3108 7147 (Direct Dial) Internal 57147 Fax +44 (0)20 7387 1397 Email D.Fernandez-Reyes (at) cs.ucl.ac.uk Postal Address University College London Dept. of Computer Science Gower Street London WC1E 6BT United Kingdom Group Intelligent Systems Personal Pages (None) diff --git a/src/data/compiled_bios/1031.txt b/src/data/compiled_bios/1031.txt new file mode 100644 index 0000000000..230017ced0 --- /dev/null +++ b/src/data/compiled_bios/1031.txt @@ -0,0 +1 @@ + Anthony Finkelstein CBE FREng DSc MAE FCGI University College London & The Alan Turing Institute Home Professor of Software Systems Engineering My programme of research and scholarly activity is based at The Alan Turing Institute , the UK National Institute for the Data Sciences. A PGP Public Key [for research and academic work] can be obtained here . EMail: a.finkelstein[at]ucl.ac.uk or afinkelstein[at]turing.ac.uk Skype: anthonyfinkelstein Linkedin: Anthony Finkelstein Mail Only: University College London Department of Computer Science Gower Street London WC1E 6BT, United Kingdom Navigation Profile Research Publications Consulting Teaching Talks Resources Other Links Royal Academy of Engineering Oliver Lodge Medal Satalia: award winning software as a service Message Automation: sells our technology! CoMPLEX: UCL interdiscipinary centre for life sciences interface CAPSA and its Implementation: A Report to the Audit Committee and Board of Scrutiny, Cambridge University Microsoft and the European Commission Design by Minimalistic Design diff --git a/src/data/compiled_bios/1032.txt b/src/data/compiled_bios/1032.txt new file mode 100644 index 0000000000..c46bcac338 --- /dev/null +++ b/src/data/compiled_bios/1032.txt @@ -0,0 +1 @@ + Daniel Fricke Role Lecturer Office GS4.08 Office Location University College London Dept. of Computer Science 66-72 Gower Street London WC1E 6EA United Kingdom Tel +44 (0)20 3108 7032 (Direct Dial) Internal 57032 Fax +44 (0)20 7387 1397 Email D.Fricke (at) cs.ucl.ac.uk Postal Address University College London Dept. of Computer Science Gower Street London WC1E 6BT United Kingdom Group Financial Computing and Analytics Personal Pages (None) diff --git a/src/data/compiled_bios/1033.txt b/src/data/compiled_bios/1033.txt new file mode 100644 index 0000000000..2758d31d54 --- /dev/null +++ b/src/data/compiled_bios/1033.txt @@ -0,0 +1 @@ + Yun Fu Role Teaching Fellow App Project Manager Student Internship Manager Office GS1.02 Office Location University College London Dept. of Computer Science 66-72 Gower Street London WC1E 6EA United Kingdom Tel +44 (0)20 3108 7129 (Direct Dial) Internal 57129 Fax +44 (0)20 7387 1397 Email Yun.Fu (at) cs.ucl.ac.uk Postal Address University College London Dept. of Computer Science Gower Street London WC1E 6BT United Kingdom Group Intelligent Systems Personal Pages (None) diff --git a/src/data/compiled_bios/1034.txt b/src/data/compiled_bios/1034.txt new file mode 100644 index 0000000000..e809610f9d --- /dev/null +++ b/src/data/compiled_bios/1034.txt @@ -0,0 +1 @@ + skip to navigation . skip to content . Department of Computer Science Dr Guido Germano UCL Department of Computer Science Guido Germano Links Contact Systemic Risk Centre IRIS Moodle MSc Computational Finance MSc Financial Risk Management Risk.net Quant Guide 2019 UCL-Rome Workshop 2019 LSERO arXiv SSRN ORCID ResearcherID Scopus Google Scholar AMS MathSciNet zbMATH RePEc Publons Academic Family Tree Econophysics Network Complex systems (video) Fractional diffusion (video) Guido Germano For a short biography, my research interests, publications and a teaching overview, see IRIS . UCL students can access on Moodle my teaching material for COMP0043 Numerical Methods for Finance and COMPG0045 Probability Theory and Stochastic Processes . Office hours: Room 4.07, 66-72 Gower Street, Wednesday 11-12. You are welcome to arrange a meeting outside office hours or to try without an appointment. If I do not answer an email or my office telephone +44 20 3108 7105 and it is urgent, please call, text or FaceTime my mobile +44 7481 388380 (+49 170 8090109 for Threema and WhatsApp, guido.germano for Skype). My pigeon hole is in Room 5.24, Malet Place Engineering Building, but mail may be left also at the reception of 66-72 Gower Street. "Too many potential physicists and engineers spend their careers shifting money around in the financial sector, instead of applying their talents to innovating in the real economy." Barack Obama, "The way ahead" , TheEconomist , 8 October 2016. "The physicist who is only a physicist can still be a first class physicist and a most valuable member of society. But nobody can be a great economist who is only an economist - and I am even tempted to add that the economist who is only an economist is likely to become a nuisance if not a positive danger." Friedrich August von Hayek, Studies in Philosophy, Politics and Economics, University of Chicago Press, 1967. Research students PhD: Benjiamin Loveless (since 2018), Jiaqi Liang (since 2017), Eduard Sariev (since 2016), Maria E. Bker, Lucio Idone, Andreas Koukorinis (since 2014). PhD alumni: Carolyn E. Phelan (2015-2018), Yiran Cui (2014-2017); find more in my Academic Family Tree , the Mathematics Genealogy Project and the library of the Philipps-Universitt Marburg . MRes alumni: Benjamin Loveless (2017-2018), Federico Graceffa (2016-2017), Carolyn E. Phelan, Paul-Kilian Gregorio Lamanna (2014-2015), Maria E. Bker, Lucio Idone, Michael Kusnetsov (2013-2014). Other: 3 postdoc alumni, 28 MSc and 1 BSc thesis supervisions. Recent publications For a full list, see IRIS . Further publication lists or repositories, some with citation counts, are linked from the sidebar (LSERO to RePEc). Eduard Sariev, Guido Germano (2018), "An innovative feature selection method for support vector machines and its test on the estimation of the credit risk of default", Review of Financial Economics , 36 pages, in press, DOI 10.1002/rfe.1049 . Carolyn E. Phelan, Daniele Marazzina, Gianluca Fusai, Guido Germano (2018), "Hilbert transform, spectral filters and option pricing", Annals of Operations Research , 26 pages, in press, DOI 10.1007/s10479-018-2881-4 , arXiv:1706.09755 [q-fin.CP] , SSRN 2995391 . Carolyn E. Phelan, Daniele Marazzina, Gianluca Fusai, Guido Germano (2018), "Fluctuation identities with continuous monitoring and their application to the pricing of barrier options", European Journal of Operational Research 271 (1), 210-223, DOI10.1016/j.ejor.2018.04.016 , arXiv:1712.00077 [q-fin.CP] , SSRN 3080495 , PDF . Yiran Cui, Sebastian del Bao Rollin, Guido Germano (2017), "Full and fast calibration of the Heston stochastic volatility model", European Journal of Operational Research 263 (2), 625-638, DOI 10.1016/j.ejor.2017.05.018 , arXiv:1511.08718 [q-fin.CP], PDF . Gianluca Fusai, Guido Germano, Daniele Marazzina (2016), "Spitzer identity, Wiener-Hopf factorization and pricing of discretely monitored exotic options", European Journal of Operational Research 251 (1), 124-134, DOI 10.1016/j.ejor.2015.11.027 , SSRN2781434 , PDF . Giulia Iori, Mauro Politi, Guido Germano, Giampaolo Gabbi (2015), "Banks' strategies and cost of money: Effects of the financial crisis on the European electronic overnight interbank market", Journal of Financial Management, Markets and Institutions 3 (2), 179-202, DOI 10.12831/82212 , PDF . Enrico Scalas, Adrian T. Gabriel, Edgar Martin, Guido Germano (2015), "Velocity and energy distributions in microcanonical ensembles of hard spheres", Physical Review E - Statistical, Nonlinear, and Soft Matter Physics 92 (2), 022140:1-11, DOI10.1103/PhysRevE.92.022140 , arXiv:1207.3505 [cond-mat.stat-mech, math-ph, math.PR], PDF . Luca Gerardo-Giorda, Guido Germano, Enrico Scalas (2014), "Large-scale simulations of synthetic markets'', Communications in Applied and Industrial Mathematics 6 (2), 535:1-14, DOI 10.1685/journal.caim.535 , PDF . Reviewer and editor I have reviewed 157 manuscripts for the journals listed below (about 12 per year since 2008); I have been academic editor of Advances in Complex Systems (since 2018), ISRN (2011-2017) and PLOS ONE (2011-2016); a part of these activities is documented by Publons and mirrored on ORCID. Moreover, I have reviewed for conferences, book publishers, grants and awards. The Nobel Committee for Chemistry of the Royal Swedish Academy of Science asked me to contribute nominations for the 2012 prize. 32 Physical Review E; 23 Physical Review Letters; 10 Journal of Computational Chemistry; 7 Physica A, PLOS ONE; 6 Journal of Physics A: Mathematical and Theoretical; 5 Computer Physics Communications, Journal of Chemical Physics, Journal of Physics: Condensed Matter; 4 Advances in Complex Systems, European Journal of Operational Research, Modern Physics Letters B, Open Physics/Central European Journal of Physics, Quantitative Finance; 2 Energies, Economics E-Journal, International Journal of Modern Physics B, Journal of Economic Interaction and Coordination, Journal of Statistical Mechanics: Theory and Experiment, Mathematics, Physics Letters A; 1 Advances in Mathematical Physics, Algorithms, Annals of Operations Research, Applied Informatics, Boundary Value Problems, Communications in Nonlinear Science and Numerical Simulation, European Physical Journal B, International Journal of Molecular Sciences, International Journal of Nonlinear Science and Numerical Simulation, Journal of Molecular Modelling, Journal of Network Theory in Finance, Journal of Statistical Physics, Management Science, Numerical Algorithms, Oriental Journal of Chemistry, Physical Chemistry Chemical Physics, Physical Review A, Physical Review B, Review of Derivatives Research, Reviews of Modern Physics, Soft Materials, SpringerPlus, Springer Proceedings in Mathematics and Statistics. Disclaimer Freedom of Information Accessibility Privacy Cookies Search Slavery Statement Contact Us University College London, Gower Street, London WC1E 6BT, UK Tel. +44 20 7679 2000 UCL 1999 2017 diff --git a/src/data/compiled_bios/1035.txt b/src/data/compiled_bios/1035.txt new file mode 100644 index 0000000000..a858b09d6e --- /dev/null +++ b/src/data/compiled_bios/1035.txt @@ -0,0 +1 @@ + Nicolas Gold BSc PhD FHEA Associate Professor Department of Computer Science University College London Gower Street, London, WC1E 6BT, UK n.gold@ucl.ac.uk T: +44 (0)20 7679 7717 F: +44 (0)20 7387 1397 CS | CREST | SSE | UCLDH Welcome Research IRIS Profile Teaching COMP0038 Computer Music COMP0135 Professional Practice Office Hours (MPEB 5.04) Jan-Mar: Mondays 16:00-17:30, Thursdays 17:00-17:30 (changes will be noted here) Office hours cancelled: Thurs 31st Jan Office hours moved: Mon 25th Feb -> Wed 27th Feb 14:00-15:30 Copyright 2018 Nicolas Gold Page template by templatemo (licensed under CC-BY-4.0, some elements removed from the original). diff --git a/src/data/compiled_bios/1036.txt b/src/data/compiled_bios/1036.txt new file mode 100644 index 0000000000..b894a31b71 --- /dev/null +++ b/src/data/compiled_bios/1036.txt @@ -0,0 +1 @@ + Dr Denise Gorse Member of the Financial Computing and Analytics group Research Current research centres mostly in the area of financial computing, with past work in bioinformatics (methods for predicting local protein structure, repeating motifs, interface regions in multi-subunit complexes) and on novel methods for global minimisation (chaperone-based techniques for finding nativelike states of heteropolymer energy functions; smoothing transformations for avoiding local minima in neural network training). Pre-2000 work focused on hardware-realisable stochastic neural networks as part of the UCL/KCL team that developed the pRAM (probabilistic random access memory) chip. Recent Publications 2015 (3 items) Teaching COMP209P Cognitive Systems and Intelligent Technologies (first half of Term 2) COMP3095 Research Methods (Term 1) COMP3058 Artificial Intelligence and Neural Computing (first half of Term 2; also taught as COMPGC26 ) COMPGC05 Algorithmics (second half of Term 2) UG project suggestions 2017-18 Office hour Term 1: 1.15-2.15pm Wednesdays (except for Reading Week) Last updated 3 October 2017 diff --git a/src/data/compiled_bios/1037.txt b/src/data/compiled_bios/1037.txt new file mode 100644 index 0000000000..a40b707cd9 --- /dev/null +++ b/src/data/compiled_bios/1037.txt @@ -0,0 +1 @@ + This site uses cookies for analytics, personalized content and ads. By continuing to browse this site, you agree to this use. 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Occasionally I will not be there, please come again. Roles Reader in the Dept of Computer Science at University College London PI of the Griffin Lab . PI of the COMPASS Group . Deputy Director of CoMPLEX . Co-director of MRes 'Analyzing Biological Complexity' UCL Director of UCL/DeepMind Doctoral Training Centre in 'Neuroscience & AI' Module co-leader of COMP206P - Maths & Statistics. Module co-leader of GV11 - Geometry of Images. Publications Research I research on Computational Vision with particular emphasis on Spatial Vision and Colour Vision. I develop abstracted, mathematically rigorous models of human vision and use these models to build powerful machine vision systems. Teaching and Supervision Links Suggestions for UG and Masters projects . Sign in | Recent Site Activity | Report Abuse | Print Page | Powered By Google Sites diff --git a/src/data/compiled_bios/1039.txt b/src/data/compiled_bios/1039.txt new file mode 100644 index 0000000000..ba16be1ee1 --- /dev/null +++ b/src/data/compiled_bios/1039.txt @@ -0,0 +1 @@ + Jens Groth Jens Groth Principal Researcher at Dfinity Professor of Cryptology at UCL (on leave) Department of Computer Science , UCL Gower Street London WC1E 6BT United Kingdom Publications Masayuki Abe, Jens Groth, Markulf Kohlweiss, Miyako Ohkubo and Mehdi Tibouchi: Efficient Fully Structure-Preserving Signatures and Shrinking Commitments . Journal of Cryptology (merge with earlier article that appeared in ASIACRYPT 2015). Jonathan Bootle, Andrea Cerulli, Jens Groth, Sune K. Jakobsen and Mary Maller: Arya: Nearly Linear-Time Zero-Knowledge Proofs for Correct Program Execution . Advances in Cryptology -- ASIACRYPT 2018, LNCS 11272, pages 595-626. IACR ePrint Carsten Baum, Jonathan Bootle, Andrea Cerulli, Rafael del Pino, Jens Groth and Vadim Lyubashevsky: Sub-Linear Lattice-Based Zero-Knowledge Arguments for Arithmetic Circuits . Advances in Cryptology -- CRYPTO 2018, LNCS 10992, pages 669-699. IACR ePrint Jens Groth, Markulf Kohlweiss, Mary Maller, Sarah Meiklejohn and Ian Miers: Updatable and Universal Common Reference Strings with Applications to zk-SNARKs . Advances in Cryptology -- CRYPTO 2018, LNCS 10993, pages 698-728. IACR ePrint Jonathan Bootle and Jens Groth: Efficient Batch Zero-Knowledge Arguments for Low Degree Polynomials . Practice and Theory in Public Key Cryptography -- PKC 2018 , LNCS 10770, pages 561-588. IACR ePrint Jonathan Bootle, Andrea Cerulli, Essam Ghadafi, Jens Groth, Mohammad Hajiabadi and Sune K. Jakobsen: Linear-Time Zero-Knowledge Proofs for Arithmetic Circuit Satisfiability. Advances in Cryptology - ASIACRYPT 2017 , LNCS 10626, pages 336-365. IACR ePrint slides Essam Ghadafi and Jens Groth: Towards a Classification of Non-interactive Computational Assumptions in Cyclic Groups . Advances in Cryptology - ASIACRYPT 2017 , LNCS 10625, pages 66-96. IACR ePrint slides Jens Groth and Mary Maller: Snarky Signatures: Minimal Signatures of Knowledge from Simulation-Extractable SNARKs . Advances in Cryptology - CRYPTO 2017 , LNCS 10402, pages 581-612. IACR ePrint slides Jonathan Bootle, Andrea Cerulli, Pyrros Chaidos, Essam Ghadafi and Jens Groth: Foundations of Fully Dynamic Group Signatures . Applied Cryptography and Network Security - ACNS 2016 , LNCS 9696, pages 117-136. IACR ePrint Jens Groth: On the Size of Pairing-based Non-interactive Arguments . Advances in Cryptology - EUROCRYPT 2016 , LNCS 9666, pages 305-326. IACR ePrint slides Jonathan Bootle, Andrea Cerulli, Pyrros Chaidos, Jens Groth and Christophe Petit: Efficient Zero-Knowledge Arguments for Arithmetic Circuits in the Discrete Log Setting . Advances in Cryptology - EUROCRYPT 2016 , LNCS 9666, pages 327-357. IACR ePrint slides Masayuki Abe, Georg Fuchsbauer, Jens Groth, Kristiyan Haralambiev and Miyako Ohkubo: Structure-Preserving Signatures and Commitments to Group Elements . Journal of Cryptology 29(2): pages 363-421, 2016. (appeared earlier in CRYPTO 2011) Jens Groth: Efficient Fully Structure-Preserving Signatures for Large Messages . Advances in Cryptology - ASIACRYPT 2015 , LNCS 9452, pages 239-259 (see journal version above). IACR ePrint slides Craig Gentry, Jens Groth, Yuval Ishai, Chris Peikert, Amit Sahai and Adam Smith: Using Fully Homomorphic Hybrid Encryption to Minimize Non-interative Zero-Knowledge Proofs . Journal of Cryptology 28(4), pages 820-843, 2015. pdf Jonathan Bootle, Andrea Cerulli, Pyrros Chaidos, Essam Ghadafi, Jens Groth and Christophe Petit: Short Accountable Ring Signatures Based on DDH . Computer Security - ESORICS 2015 , LNCS 9326, pages 243-265. IACR ePrint Jens Groth and Markulf Kohlweiss: One-out-of-Many Proofs: Or How to Leak a Secret and Spend a Coin . Advances in Cryptology - EUROCRYPT 2015 , LNCS 9057, pages 253-280. IACR ePrint slides Pyrros Chaidos and Jens Groth: Making Sigma-Protocols Non-interactive without Random Oracles . Practice and Theory in Public Key Cryptography - PKC 2015 , LNCS 9020, pages 650-670. George Danezis, Cdric Fournet, Jens Groth and Markulf Kohlweiss: Square Span Programs with Applications to Succinct NIZK Arguments . Advances in Cryptology -- ASIACRYPT 2014 , LNCS 8873, pages 532-550. IACR ePrint slides Masayuki Abe, Jens Groth, Miyako Ohkubo and Takeya Tango: Converting Cryptographic Schemes from Symmetric to Asymmetric Bilinear Groups . Advances in Cryptology -- CRYPTO 2014 , LNCS 8616, pages 241-260. Masayuki Abe, Jens Groth, Miyako Ohkubo and Mehdi Tibouchi: Structure-Preserving Signatures from Type II Pairings . Advances in Cryptology -- CRYPTO 2014 , LNCS 8616, pages 390-407. IACR ePrint slides Jens Groth and Rafail Ostrovsky: Cryptography in the Multi-string Model . Journal of Cryptology , vol. 27(3), pages 506-543, 2014. pdf Alex Escala and Jens Groth: Fine-Tuning Groth-Sahai Proofs . Practice and Theory in Public Key Cryptography - PKC 2014 , LNCS 8383, pages 630-649. IACR ePrint slides Masayuki Abe, Jens Groth, Miyako Ohkubo and Mehdi Tibouchi: Unified, Minimal and Selectively Randomizable Structure-Preserving Signatures . Theory of Cryptography Conference - TCC 2014 , LNCS 8349, pages 688-712. IACR ePrint slides Stephanie Bayer and Jens Groth: Zero-knowledge Argument for Polynomial Evaluation with Application to Blacklists . Advances in Cryptology - EUROCRYPT 2013 , LNCS 7881, pages 646-663. pdf slides Jens Groth and Amit Sahai: Efficient Noninteractive Proof Systems for Bilinear Groups. SIAM Journal on Computing , vol. 41(5), pages 1193-1232. pdf slides (appeared earlier in EUROCRYPT 2008) Jens Groth, Rafail Ostrovsky and Amit Sahai: New Techniques for Noninteractive Zero-Knowledge . Journal of the ACM , vol. 59(3), pages 11:1-11:35, 2012. pdf (appeared earlier in EUROCRYPT 2006 and CRYPTO 2006) Stephanie Bayer and Jens Groth: Efficient Zero-Knowledge Argument for Correctness of a Shuffle . Advances in Cryptology - EUROCRYPT 2012 , LNCS 7237, 263-280. pdf slides (full paper) Jens Groth: Efficient Zero-Knowledge Arguments from Two-Tiered Homomorphic Commitments . Advances in Cryptology - ASIACRYPT 2011 , LNCS 7073, 431-448. pdf slides (full paper) Masayuki Abe, Jens Groth and Miyako Ohkubo: Separating Short Structure Preserving Signatures from Non-Interactive Assumptions . Advances in Cryptology - ASIACRYPT 2011 , LNCS 7073, 628-646. Masayuki Abe, Jens Groth, Kristiyan Haralambiev and Miyako Ohkubo: Optimal Structure-Preserving Signatures in Asymmetric Bilinear Groups . Advances in Cryptology - CRYPTO 2011 , LNCS 6841, pages 649-666. pdf slides (full paper) Jens Groth: Short Non-interactive Zero-Knowledge Proofs. Advances in Cryptology - ASIACRYPT 2010 , LNCS 6477, pages 341-358. pdf slides (full paper) Jens Groth: Short Pairing-Based Non-interactive Zero-Knowledge Arguments. Advances in Cryptology - ASIACRYPT 2010 , LNCS 6477, pages 321-340. pdf slides (full paper) Jens Groth: A Verifiable Secret Shuffle of Homomorphic Encryptions . Journal of Cryptology , vol. 23(4), pages 546-579, 2010. pdf slides (appeared earlier in PKC 2003) Jens Groth: Homomorphic Trapdoor Commitments to Group Elements. pdf (manuscript) Merged paper Masayuki Abe, Georg Fuchsbauer, Jens Groth, Kristiyan Haralambiev and Miyako Ohkubo: Structure-Preserving Signatures and Commitments to Group Elements . Advances in Cryptology - CRYPTO 2010 , LNCS 6223, pages 209-236. (see journal version above) Jens Groth, Aggelos Kiayias and Helger Lipmaa: Multi-Query Computationally-Private Information Retrieval with Constant Communication Rate. Practice and Theory in Public Key Cryptography - PKC 2010 , LNCS 6056, pages 107-123. pdf slides Jens Groth: Linear Algebra with Sub-linear Size Zero-Knowledge Arguments. Advances in Cryptology - CRYPTO 2009 , LNCS 5677, pages 192-208. pdf slides more slides (full paper) Jens Groth and Yuval Ishai: Sub-linear Zero-Knowledge Argument for Correctness of a Shuffle. Advances in Cryptology - EUROCRYPT 2008 , LNCS 4965, pages 379-396. pdf slides (full paper) Jens Groth and Steve Lu: A Non-interactive Shuffle with Pairing Based Verifiability. Advances in Cryptology - ASIACRYPT 2007 , LNCS 4833, pages 51-67. pdf slides Jens Groth: Fully Anonymous Group Signatures without Random Oracles. Advances in Cryptology - ASIACRYPT 2007 , LNCS 4833, pages 164-180. pdf slides (full paper) Jens Groth and Rafail Ostrovsky: Cryptography in the Multi-string Model. Advances in Cryptology - CRYPTO 2007 , LNCS 4622, pages 323-341. (see journal version above) Nishanth Chandran, Jens Groth and Amit Sahai: Ring Signatures of Sub-linear Size without Random Oracles. International Colloquium on Automata, Languages and Programming - ICALP 2007 , LNCS 4596, pages 423-434. pdf slides Jens Groth and Amit Sahai: Efficient Non-interactive Proof Systems for Bilinear Groups. Advances in Cryptology - EUROCRYPT 2008 , LNCS 4965, pages 415-432. pdf slides (see journal version above) Jens Groth and Steve Lu: Verifiable Shuffle of Large Size Ciphertexts. Practice and Theory in Public Key Cryptography - PKC 2007 , LNCS 4450, pages 377-392. pdf excel Jens Groth: Simulation-sound NIZK Proofs for a Practical Language and Constant Size Group Signatures. Advances in Cryptology - ASIACRYPT 2006 , LNCS 4284, pages 444-459. pdf slides (full paper) Jens Groth, Rafail Ostrovsky and Amit Sahai: Non-interactive Zaps and New Techniques for NIZK. Advances in Cryptology - CRYPTO 2006 , LNCS 4117, pages 97-111. slides (see journal version above) Douglas Wikstrm and Jens Groth: An Adaptively Secure Mix-Net Without Erasures. International Colloquium on Automata, Languages and Programming - ICALP 2006 , LNCS 4052, pages 276-287. Jens Groth, Rafail Ostrovsky and Amit Sahai: Perfect Non-Interactive Zero-Knowledge for NP . Advances in Cryptology - EUROCRYPT 2006 , LNCS 4004, pages 338-359. slides (see journal version above) Jens Groth: Non-interactive Zero-Knowledge Arguments for Voting . Applied Cryptography and Network Security - ACNS 2005 , LNCS 3531, pages 467-482. pdf slides (full paper) Jens Groth: Cryptography in Subgroups of Zn* . Theory of Cryptography Conference - TCC 2005 , LNCS 3378, pages 50-65. pdf slides (corrected paper) Jan Camenisch and Jens Groth: Group Signatures: Better Efficiency and New Theoretical Aspects . Security in Communication Networks - SCN 2004 , LNCS 3352, pages 120-133. pdf (full paper) Jens Groth: Evaluating Security of Voting Schemes in the Universal Composability Framework . Applied Cryptography and Network Security - ACNS 2004 , LNCS 3089, pages 46-60. pdf slides (full paper) Jens Groth: Rerandomizable and Replayable Adaptive Chosen Ciphertext Attack Secure Cryptosystems . Theory of Cryptography Conference - TCC 2004 , LNCS 2951, pages 152-170. pdf slides Jens Groth: Efficient Maximal Privacy in Boardroom Voting and Anonymous Broadcast . Financial Cryptography - FC 2004 , LNCS 3110, pages 90-104. pdf slides Ivan Damgrd and Jens Groth: Non-interactive and Reusable Non-malleable Commitment Schemes . Symposium on Theory of Computation - STOC 2003 , pages 426-437. pdf slides (corrected paper) Jens Groth: A Verifiable Secret Shuffle of Homomorphic Encryptions . Practice and Theory in Public Key Cryptography - PKC 2003 , LNCS 2567, pages 145-160. (see journal version above) Ivan Damgrd, Jens Groth and Gorm Salomonsen: The Theory and Implementation of an Electronic Voting System . D. Gritzalis (Ed.), Secure Electronic Voting , Kluwer Academic Publishers, 2002, pages 77-99. pdf Jens Groth and Gorm Salomonsen: Strong Privacy Protection in Electronic Voting . Invited talk at Trust and Privacy in Digital Business - TrustBus 2001. Full paper available as BRICS technical report RS-04-23 . Program Committees ACNS 2006, EUROCRYPT 2007 , PKC 2008 , TCC 2008 , SCN 2008 , TCC 2009 , Pairing 2009 , CRYPTO 2009 , ASIACRYPT 2009 , TCC 2010 , AFRICACRYPT 2011 , VoteID 2011 , ASIACRYPT 2011 , EUROCRYPT 2012 , PKC 2012 , CRYPTO 2012 , EUROCRYPT 2013 , PKC 2014 , TCC 2014 , CT-RSA 2014 , CT-RSA 2015 , EUROCRYPT 2015 , VoteID 2015 , ASIACRYPT 2015 , IMA Cryptography and Coding 2015 , ACNS 2016 , CRYPTO 2016 , ASIACRYPT 2016 , Voting 2017 , PKC 2017 , AFRICACRYPT 2017 , IMA Cryptography and Coding 2017 , Financial Cryptography 2018 , EUROCRYPT 2018 , ZKProof Standards Workshop 2018 , ASIACRYPT 2018 . Open access pledge I believe in making research publicly and freely available to the world. I have made the following pledge on Research Without Walls : Effective 1/21/2012, I will assist in the peer review process (as a reviewer, board/committee member, chair, editor, etc.) only for conferences, journals, and other publication venues that make all accepted publications available to the public for free via the web within 3 years of publication. I want to share a simple strategy to make a conference de facto open access. Many conferences publish proceedings in Springer's Lecture Notes in Computer Science series. Springer's copyright form allows authors to make an online version of their paper available on their homepage or in an institutional repository. So if you are a program chair, you can make it a requirement in the call for papers that authors exercise this right. After decisions have been made on which papers to accept you can then collect the links from the authors. As an example, all the papers accepted to IMACC 2015 are available online here . Curriculum Vitae pdf How to pronounce my name English speakers can say Yens Grot. This captures the pronounciation of my first name quite well. Unfortunately, the Danish "o"-sound does not have an English equivalent. If you speak another language I suggest using that language's "o" and you may end up pronouncing my surname correctly as well. diff --git a/src/data/compiled_bios/104.txt b/src/data/compiled_bios/104.txt new file mode 100644 index 0000000000..28c8c88852 --- /dev/null +++ b/src/data/compiled_bios/104.txt @@ -0,0 +1 @@ +Richard McCullougha nationally recognized leader in interdisciplinary science, research, and entrepreneurshipjoined the SEAS faculty in 2012 as a professor of materials science and engineering when he was appointed the Universitys Vice Provost for Research. Prior to his Harvard appointment, McCullough had spent more than two decades at Pittsburghs Carnegie Mellon University, variously serving as Vice President for Research, Dean of the Mellon College of Science, and headof the chemistry department.McCulloughs research has principally been focused on developing printable electronic materials and other classes of materials, including regioregular polythiophenes, conductive polymers,nanoelectronic materials, and printable metals.He has founded two companiesPlextronics Inc. and Liquid X Printed Metals. diff --git a/src/data/compiled_bios/1040.txt b/src/data/compiled_bios/1040.txt new file mode 100644 index 0000000000..e1b2d8a927 --- /dev/null +++ b/src/data/compiled_bios/1040.txt @@ -0,0 +1 @@ + David Guzman Role Lead Web Services Software Engineer Office TBA Office Location University College London Dept. of Computer Science Gower Street London WC1E 6BT United Kingdom Tel +44 (0)20 7679 TBA (Direct Dial) Internal TBA Fax +44 (0)20 7387 1397 Email D.Guzman (at) cs.ucl.ac.uk Postal Address University College London Dept. of Computer Science Gower Street London WC1E 6BT United Kingdom Group Media Futures Personal Pages (None) diff --git a/src/data/compiled_bios/1041.txt b/src/data/compiled_bios/1041.txt new file mode 100644 index 0000000000..a60723627f --- /dev/null +++ b/src/data/compiled_bios/1041.txt @@ -0,0 +1 @@ + Education is not the filling of a pail, but the lighting of a fire (WB Yeats) UCL >> Department of Computer Science >> People >> Academic staff >> Stephen Hailes [ Home ] [ Teaching ] [ Research Interests ] [ Getting here ] Professor Stephen Hailes Deputy Head of Department, Head Autonomous Systems Professor Room 5.06 Department of Computer Science 66-72 Gower Street University College of London Gower Street London WC1E 6BT, UK phone : +44 20 3108 7116 fax: +44 20 7387 1397 e-mail: s.hailes@cs.ucl.ac.uk diff --git a/src/data/compiled_bios/1042.txt b/src/data/compiled_bios/1042.txt new file mode 100644 index 0000000000..6cf2750deb --- /dev/null +++ b/src/data/compiled_bios/1042.txt @@ -0,0 +1 @@ + Mark Handley Professor of Networked Systems. Email: Phone: x37296 (but I usually prefer email) Room: MPEB 6.21 Papers, Publications and Specifications Google Scholar publication listing Slides from various presentations PGP key Research Interests Internet Architecture Multipath TCP (MP-TCP) . TCPCrypt Routing protocols. Architectural mechanisms to limit denial-of-service attacks . Congestion Control ( Multipath TCP , TFRC , TFMCC , XCP , DCCP ). Peer-to-peer systems. UCL's Heterogeneous Experimental Network (HEN). Biography Mark Handley joined the Computer Science department at UCL as Professor of Networked Systems in 2003, receiving a Royal Society-Wolfson Research Merit Award. From 2003-2010 he led the Networks Research Group , which has a long history dating back to 1973 when UCL became the first site outside the United States to join the ARPAnet, which was the precursor to today's Internet. Prior to joining UCL, Professor Handley was based at the International Computer Science Institute in Berkeley, California, where he co-founded the AT&T Center for Internet Research at ICSI (ACIRI). Professor Handley has been very active in the area of Internet Standards, and has served on the Internet Architecture Board , which oversees much of the Internet standardisation process. He is the author of 33 Internet standards documents (RFCs), including the Session Initiation Protocol (SIP), which is the principal way telephony signalling is performed in Internet-based telephone networks. Recently he has been standardizing multipath extensions to TCP. Professor Handley's research interests include the Internet architecture (how the components fit together to produce a coherent whole), congestion control (how to match the load offered to a network to the changing available capacity of the network), Internet routing (how to satisfy competing network providers' requirements, while ensuring that traffic takes a good path through the network), and defending networks against denial-of-service attacks. He also founded the XORP project to build a complete open-source Internet routing software stack. Awards ACM SIGCOMM Test of Time Award, 2014 , for Internet Congestion Control for High Bandwidth-Delay Product Environments , published in 2002. IEEE Internet Award, 2012 , for "For contributions to Internet multicast, telephony, congestion control and the shaping of open Internet standards and open-source systems in all these areas." ACM SIGCOMM Test of Time Award, 2011 , for "A Scalable Content Addressable Network" , published in 2001 and one of the all-time top 20 most cited paper in Computer Science. BCS Roger Needham Award , 2007. Royal Society-Wolfson Research Merit Award, 2003. Professional Activities Member of the IETF Transport Area Directorate . I also served on the Routing Area Directorate from 2000-2009. Previously I was a member of the Internet Architecture Board (IAB) . I chaired the IETF Multiparty Multimedia Session Control working group and the IRTF Reliable Multicast Research Group. Teaching Current teaching: 1010: Robotics Programming (login as Guest if you're not registered). Here's a video of the finals of the UCL 2012 Robot Races . GZ05: Multimedia Systems Programme Director for the Advanced MSc in Networked Computer Systems Past teaching: 3C03: Concurrency 3005: Operating Systems Internet Protocols Session Initiation Protocol (SIP, RFC 2543 , RFC 3261 ), Session Description Protocol (SDP, RFC 2327 ), Session Announcement Protocol (SAP, RFC 2974 ), Protocol Independent Multicast-Sparse Mode (PIM-SM, RFC 2362 ), TCP-Friendly Rate Control (TFRC, RFC 3448 ), Multicast-Scope Zone Announcement Protocol (MZAP, RFC 2776 ), Multicast Address Allocation ( RFC 2908 , RFC 2909 ), TCP Congestion Window Validation ( RFC 2861 ), Reliable Multicast ( RFC 3451 , RFC 3452 , RFC 3453 , RFC 3048 ), Datagram Congestion Control Protocol ( RFC 4340 , RFC 4336 ), Multipath TCP ( RFC 6824 , RFC 6356 , RFC 6182 ). In real life... My interests are travel , mountains , skiing , sailing , mad science , most especially my wife and sons, and generally doing things that don't involve a computer. In a past life, I spent a lot of time riding motorcycles and flying gliders. Pictures of before breakfast at Sigcomm Vancouver , after dinner at the Oslo IETF , a little stroll after Sigcomm Kyoto . diff --git a/src/data/compiled_bios/1043.txt b/src/data/compiled_bios/1043.txt new file mode 100644 index 0000000000..cbddb39a26 --- /dev/null +++ b/src/data/compiled_bios/1043.txt @@ -0,0 +1 @@ + UCL DEPARTMENT OF COMPUTER SCIENCE Information on CS people Home Admissions Students Alumni Research Business People Help | Getting Here | | Contact | Rae's Departmental Page Teaching UCL-CS Home Text size A A A A A | PEOPLE > Rae Harbird | Teaching Autumn Term I am a member of the teaching team for COMPGC04 Systems Infrastructure. I deliver COMP211P Introduction to Programming , a module for non-computer science students who want to learn to code. Spring Term I lead the IEP Programming Minor and I teach COMP210P Introduction to Programming . I co-teach CEGE1008 Engineering Thinking, This module provides a hands-on experience of engineering in defining and solving a sociotechnical problem. Students will work in teams to design and build a new system to optimise water efficiency at UCL. Projects Suggestions for undergraduate projects can be found here . Outreach Engduino Worksheets and Projects Contact Me Departmental web page Last modified: September, 2015 by Rae Harbird Computer Science Department - University College London - Gower Street - London - WC1E 6BT - +44 (0)20 7679 7214 - Copyright 1999-2005 UCL Disclaimer | Accessibility | Privacy | Advanced Search | Help diff --git a/src/data/compiled_bios/1044.txt b/src/data/compiled_bios/1044.txt new file mode 100644 index 0000000000..3a5e237bd4 --- /dev/null +++ b/src/data/compiled_bios/1044.txt @@ -0,0 +1 @@ + Mark Harman, Professor of Software Engineering, CREST Software Systems Engineering Group , Department of Computer Science , University College London , Malet Place, London, WC1E 6BT, UK. and Engineering Manager, Facebook London. e-mail: mark.harman the-at-symbol ucl.ac.uk web: http://www.cs.ucl.ac.uk/staff/mharman . Personal Assistant: Katie Bourke: crest-admin the-at-symbol ucl.ac.uk; +44 (0)20 7679 0325 Mark's CV: 2 page version | 4 page version | full version (last updated August 2018) Since February 6th 2017 Mark has been working full-time at Facebook London, but he remains a part-time professor at UCL: Mark's Facebook webpage . Mark was the director of CREST (the Centre for Research on Evolution Search and Testing) from its inception on 28th June 2006 to 5th February 2017, followed by Jens Krinke , and was head of SSE (Software Systems Engineering) at UCL from 2012 to 2017, preceded by David Rosenblum , Wolfgang Emmerich , and Anthony Finkelstein ; followed by Emmanuel Letier . Since February 6th 2017 he has been a full-time Engineering Manager at Facebook London and a part-time professor of Software Engineering in CREST, SSE and the CS department at UCL. Mark's: publications (downloadable in PDF). Completed KCL MSc student projects 2004-2009 . Completed PhD students and their theses . Currently on the editorial boards of ACM Transactions on Software Engineering and Methodology , IET Proceedings Software , Information and Software Technology , the Journal of Empirical Software Engineering , the Journal of Software Maintenance and Evolution , the Software Quality Journal and the Journal of Software Testing Verification & Reliability . Previously on the editorial boards of IEEE Transactions on Software Engineering , Software Focus. Organisations: JeS , BCS , IET , ACM , IEEE Reference: Maps | UK train timetable | translate | Wikipedia | Google Scholar CREST Repositories: on Mutation Testing | on SBSE | GP Conferences in 2018: ICSE (PC co-chair) Conferences in 2017: ICSE (PC board member), FSE (PC committee member), ICSR (keynote), SBST (keynote). Conferences in 2016: ICSE (PC board member), FSE (PC committee member), MobileSoft (keynote), CBSoft (keynote). Conferences in 2015: FSE (PC chair), ICST (keynote), NasBASE , ICSE , ASE (ERP member). Conferences in 2014: ICSE (PC board member), SPLC (keynote), SEAMS (keynote), FSE (PC member), ISSTA (PC member), ASE (ERP member), ICST (PC member), RE , GECCO (PC member). Conferences in 2013: WCRE (keynote), WeTSOM (keynote), GECCO (keynote), ICSE (PC member), FSE (PC member), SSBSE (SC chair), ICST (PC member), ASE (PC member), SCAM (PC member), ICSM (PC member), ESEM (PC member), Mutation (PC member), SBST (PC member), TAIC PART (PC member). Conferences in 2012: ASE (keynote), ICSE (PC member), FSE , ISSTA (PC member), SSBSE (SC chair), ICST (PC member), Mutation (PC member), SBST (PC member), SCAM (PC member), ICSM (PC member), RAISE (keynote), ESEM (keynote), GECCO (PC member). Conferences in 2011: QSIC (keynote), RefTest (keynote). SCAM , SSBSE (SC chair), ICSE , FSE , ISSTA , ICST (PC chair), GECCO (PC member), ICSM (PC member), Conferences in 2010: SCAM (keynote), SSBSE (SC chair), ICSM (PC member), ISSTA (PC member), ICST (PC member), Mutation (PC member), SBST (PC member), PROMISE (keynote), ICSE , GECCO (PC member), RE , FASE @ ETAPS (keynote), Mutation (keynote). Computing bibliographies | DBLP BBC | TSI | Smithsonian | Music | Hubble | Blenheim Place Close by UCL in London: Southbank Arts Centre , Parliament , Tate Modern , Buckingham Palace , St. Paul's Cathedral , The London Eye , the Royal Courts of Justice , Somerset House , The National Gallery , The National Portrait Gallery , Theatre land , The Britism Museum , Covent Garden , The Royal Opera House A little further away: Serpentine , Victorial and Albert Museum , Science Museum , Natural History Museum . Old stuff: Conferences in 2009: Symposium on Search Based Software Engineering (SSBSE 2009) , ICSE , ICST , MAEB , ICSM , SCAM , WSE , WCRE , ISSTA , GECCO , ASE , AOSD , AAMAS , HVC . Conferences in 2008: ASE , Evol , TAIC PART , WCRE , SCAM , RE , REFSQ , GECCO , ISSTA , ICST , SBST , ICSE , ICSM , FSE . Conferences in 2007: ICPC , ISSTA , GECCO , ICSM , Mutation , TAIC PART , SCAM , ICSE , FSE , SQC . Conferences in 2006: Mensura , TAIC PART , ISSRE , Mutation , CSMR , GECCO SBSE , ICSE , ISSTA , ICSM , WCRE , SQC , CSSE , ICPC , SCAM , AAA . Conferences in 2005: ASTReNet , SCAM , CSMR , ICSM , IWPC , GECCO , MIC , WCRE , Dagstuhl Slicing Seminar , ISSRE , UK Test 2005 . Conferences in 2004: SCAM , ICSM , ICSE , IWPC , GECCO , TestCom , WCRE , ISSTA , ISSRE , FSE , Metrics , PLID . Conferences in 2003: ICSE , CMSR , IWPC , GECCO , ICSM , SCAM , WSE , ICFCA , ICCT , WCRE , ZB , UK Testing Workshop . Conferences in 2002: SCAM , ICSE , IWPC , PEPM , GECCO SBSE track , PLDI , ASE , ISSTA , PASTE , COMPSAC , WCRE , ICSM , FTRTFT , FME , TPHOL , FSWE . diff --git a/src/data/compiled_bios/1045.txt b/src/data/compiled_bios/1045.txt new file mode 100644 index 0000000000..dbb83b10f2 --- /dev/null +++ b/src/data/compiled_bios/1045.txt @@ -0,0 +1 @@ + David Hawkes Role Professor of Medical Imaging Science Office EFB3.02 Office Location University College London Dept. of Computer Science Gower Street London WC1E 6BT United Kingdom Tel +44 (0)20 7679 0321 (Direct Dial) Internal 30321 Fax +44 (0)20 7387 1397 Email D.Hawkes (at) cs.ucl.ac.uk Postal Address University College London Dept. of Computer Science Gower Street London WC1E 6BT United Kingdom Group Vision and Imaging Science Personal Pages (None) diff --git a/src/data/compiled_bios/1046.txt b/src/data/compiled_bios/1046.txt new file mode 100644 index 0000000000..1b177699f9 --- /dev/null +++ b/src/data/compiled_bios/1046.txt @@ -0,0 +1 @@ + Mark Herbster Associate Professor Department of Computer Science University College London 66 Gower Street (room 302) London WC1E 6BT United Kingdom M.Herbster@cs.ucl.ac.uk Phone: +44 (0)20 3108 7091 Fax: +44 (0)20 7387 1397 Research: My research currently largely focuses on the problem of predicting a labeling of a graph. This problem is foundational for transductive and semi-supervised learning. I am also broadly interested in online learning, see my publications page for more details. I am affiliated with Centre for Computational Statistics and Machine Learning (CSML) Publications: Teaching: I am programme director for the MSc in Machine Learning (formerly Intelligent Systems). Machine learning is a sub-discipline of computer science which studies the process of automatic inference from data. This field draws on ideas and methods from a diversity of perspectives and disciplines such as artificial intelligence, connectionism, optimization, pattern recognition, and statistics. The commercial successes of machine learning are widespread, some well-known examples are in speech recognition, robotic vision, online ad-placement, fraud detection, and bioinformatics. The MSc Machine Learning is aimed at students trained in computer science or another quantitative science. This MSc is designed to train the student in both the practical and theoretical sides of machine learning and is aimed to prepare the student for either an industrial career or for PhD study. I encourage you to contact me if you should have any questions about this MSc. Academic Links: UCL MSc in Machine Learning UCL MSc in Computational Statistics and Machine Learning Centre for Computational Statistics and Machine Learning (CSML) Gatsby Computational Neuroscience Unit diff --git a/src/data/compiled_bios/1047.txt b/src/data/compiled_bios/1047.txt new file mode 100644 index 0000000000..ce3d546d8e --- /dev/null +++ b/src/data/compiled_bios/1047.txt @@ -0,0 +1 @@ + Department of Computer Science Home Robin Hirsch Mobile Version Home Prospective students Research Industry and outreach Careers Current students People About Us Staff Intranet Forthcoming Events 21 Feb 15:00 Distinguished Lecture: RustBelt: Logical Foundations for the Future of Safe... 27 Feb 13:00 Research Seminar: Research Challenges in Devising the Next Generation... Robin Hirsch 5.07a Malet Place Engineering Building +44 20 7679 1379(phone) +44 207679 1397 (departmental fax) r.hirsch at ucl.ac.uk Department of Computer Science , UCL , Gower Street, London WC1E 6BT Official UCL webpage for Robin Hirsch Teaching COMP0009 COMP0017 Mathematical Computation Office Hour: Tuesdays 10.30-11.30pm Research My main research is in logic and mathematical foundations. I have a particular interest in algebraic logic, modal and temporal logic, relation algebra, logical games, algebras of relations. Publications Temporal and Modal Logic Algebraic Logic Game Theory Planning Complexity PhD Ideas Project ideas for MSc, MEng, BSc final year students. All undergraduate projects 2018-2019 under my supervision have now been allocated. I belong to the Knowledge Representation and Reasoning Research Group I am a member of the London Logic Forum. I am a member of the London Mathematical Society . Extra Curricular Visit to the migrant camp in Calais 5/9/2015. Home contact details. This page was last modified on 14 Dec 2018 and is maintained by Robin Hirsch Computer Science Department University College London Gower Street London WC1E 6BT +44 (0)20 7679 7214 Disclaimer | Cookies | Accessibility | Privacy | Advanced Search | Help Copyright 1999- 2018 UCL diff --git a/src/data/compiled_bios/1048.txt b/src/data/compiled_bios/1048.txt new file mode 100644 index 0000000000..a1e79c8f2e --- /dev/null +++ b/src/data/compiled_bios/1048.txt @@ -0,0 +1 @@ + Cathy Holloway Role Senior Lecturer Undergraduate Admissions Tutor Office 6.04 Office Location University College London Dept. of Computer Science Gower Street London WC1E 6BT United Kingdom Tel +44 (0)20 7679 3666 (Direct Dial) Internal 33666 Fax +44 (0)20 7387 1397 Email C.Holloway (at) cs.ucl.ac.uk Postal Address University College London Dept. of Computer Science Gower Street London WC1E 6BT United Kingdom Group Human Centred Systems Personal Pages (None) diff --git a/src/data/compiled_bios/1049.txt b/src/data/compiled_bios/1049.txt new file mode 100644 index 0000000000..8652099d47 --- /dev/null +++ b/src/data/compiled_bios/1049.txt @@ -0,0 +1 @@ + Anthony Hunter Framework for Computational Persuasion This is a UK EPSRC-funded project starting in early 2016 and running for 36 months to develop a framework for computational persuasion to support behaviour change. The development of tools for behaviour change is a big topic at the moment to help people have healthier lifestyles (e.g. eat less, drink less, do more exercise, etc) and to be better citizens (e.g. don't text and drive, use less electricity, recycle, etc). Our approach is to use knowledge representation and reasoning techniques, together with computational models of argument, to offer an argument-based approach to persuasion. For more information use the following link, or email anthony.hunter@ucl.ac.uk. www.computationalpersuasion.com Argumentation in Medicine This is a long-term project investigating the use of computational argumentation for analysing and aggregating clinical evidence for making recommendations. It is a collaborative effort with clinicians (Matt Williams and Zi Wei Liu). It started with funding from Cancer Research UK and from the EPSRC. Project website Video tutorial on argument-based aggregation of clincial evidence Research interests Computational models of argument Argumentation in decision-making and sense-making Persuasion (modelling and strategies for participants) Measuring and analysing inconsistency Systems for aggregating knowledge Publications Books Elements of Argumentation Journal special issues Papers in journals, conference proceedings and books Technical reports Background I have a BSc (1984) from the University of Bristol, and an MSc (1987) and a PhD (1992) from Imperial College, London which was supervised by Dov Gabbay. I was a research fellow at the IT Research Institute at the Univesity of Brighton from 1987 to 1989, and a research associate in the Department of Computing at Imperial College, London, from 1989 to 1996. Since 1996, I have been in the Department of Computer Science at University College London. Currently, I am Professor of Artificial Intelligence, and head of the Intelligent Systems Research Group, in the UCL Department of Computer Science. My research is in the area of knowledge representation and reasoning which is a branch of artificial intelligence. More specifically, I am interested in the inter-related topics of computational models of argumentation; Knowledge merging and aggregation; and measuring and analysing inconsistency. Further information Academic activities Contact details Department of Computer Science University College London Gower Street London WC1E 6BT UK Tel: +44 20 3108 7113 Fax: +44 20 7387 1397 Internal: 57113 anthony.hunter@ucl.ac.uk diff --git a/src/data/compiled_bios/105.txt b/src/data/compiled_bios/105.txt new file mode 100644 index 0000000000..6766d1d607 --- /dev/null +++ b/src/data/compiled_bios/105.txt @@ -0,0 +1 @@ +Technologies of the future, including high-performance exascale computing, Internet-of-Things, and integrated quantum information processing are limited by conventional device concepts and their constituent materials. The limits of electronic, optical and thermal performance of these materials are determined by their atomic-scale dynamics. In order to surpass conventional, bulk properties of materials, an accurate description of excited-state phenomena is essential. Quantum-engineered materials could provide multiple functionalities, using atom-by-atom engineering, in an ultra-compact, 3D monolithically integrated architecture enabling highly energy efficient devices. This is simultaneously relevant in consumer electronics and next-generation space-systems and satellites. Professor Narangs research interests lie in exploring and expanding the understanding of excited state and non-equilibrium phenomena to develop novel quantum engineered materials and devices with applications in sensing and photodetection, energy conversion, as well as quantum information processing. Our research group, the Excited-state and Integrated Quantum Materials (ESIM) group, portfolio encompasses the following key directions:Excited-state nanophotonics presents a critical challenge and opportunity as it involves competing degrees of freedom and constraints with coupled electrons, photons, and atomic structures. Properties that emerge from correlations between these atomic, electronic and photonic phenomena determine the intermediate length and time scales that can be exploited in many applications. In order to design functional mesoscale materials, there is a need for advanced understanding and control over the interactions among discrete atomic-nanoscale ingredients in an extended structure. The Narang group is building a research effort that, through a combination of applying existing theory methods as well as developing novel methods that implement non-equilibrium theories, can tackle this challenge.A major challenge and opportunity for energy nanotechnologies is to rationally construct nanoscale devices from the bottom up that can mimic natural light-harvesting assemblies. Photosynthetic light-harvesting complexes (LHCs) feature arrays of strongly-coupled pigments that can direct energy transfer to their reaction center with near-unit quantum efficiency. Yet current technologies do not take advantage of the unique and extremely efficient energy transfer mechanism, which involves out-of-equilibrium, environment-coupled excitonic dynamics. Natural energy transfer in photosynthesis thus points to new physics capable of motivating the next generation of circuits, energy conversion devices and perhaps a path to robust quantum devices. The Narang research group is writing novel tools to describe interactions between light harvesting complexes and the environment in the ultrafast (femtosecond) to fast (nanosecond) regime. We are exploring the fundamental optical physics of cavities strongly coupled to the elaborate topology of molecules.Quantum materials offer unparalleled potential for atomic-scale photonic and optoelectronic devices. The Narang group is studying quantum materials to elucidate the fundamental physics of light-matter interactions in these systems.Open positions: Students in my research group will gain expertise in developing and using first principles theory, calculation and quantum simulation methods. If you seek interdisciplinary projects across materials science, applied physics and computational science, please contact me. diff --git a/src/data/compiled_bios/1050.txt b/src/data/compiled_bios/1050.txt new file mode 100644 index 0000000000..9a14f719ed --- /dev/null +++ b/src/data/compiled_bios/1050.txt @@ -0,0 +1 @@ + Kyle Jamieson Department of Computer Science 35 Olden Street, Room 306 Princeton, NJ 08540 kylej at cs.princeton.edu, PGP key About Publications Teaching Talks Service I am an Associate Professor in the Department of Computer Science at Princeton University where I lead the PAWS Group , and adjunct Reader of Wireless Systems and Networks at University College London. Computer Science Undergraduate Independent Work project ideas (campus IP address and CS department user account required for access). This Spring semester I'm teaching an new undergraduate level class in Wireless Networks . Research My research interests are in all aspects of wireless networked systems, from the basic architecture of the wireless physical layer to high-level applications. The two main strands of work I have pursued involve bringing phased array signal processing indoors and improving the capacity of wireless networks in a world with many billions of wireless devices, most of which transmit in wireless spectrum that is unplanned by any central authority. For further information, see the Princeton Advanced Wireless Systems (PAWS) group website. Recruiting I am seeking graduate students and postdoctoral research associates with an interest in working on challenging open problems in wireless networks and systems to join the PAWS team. If you are interested, you must apply and be admitted to the graduate program at Princeton University. Because of the volume of mail I receive I regret that I'm not always able to reply to personal inquiries. diff --git a/src/data/compiled_bios/1051.txt b/src/data/compiled_bios/1051.txt new file mode 100644 index 0000000000..716fc272e3 --- /dev/null +++ b/src/data/compiled_bios/1051.txt @@ -0,0 +1 @@ + Yue Jia @ UCL Lecturer (Assistant Professor) | CS Dept, SSE Group, CREST Toggle navigation Yue Jia @ UCL Home Publications Peer Esteem Teaching Research I am the co-founder and CEO of MaJiCKe , and a lecturer of software engineering at the Centre of Research on Evolution, Search and Testing (CREST) , located in the Department of Computer Science, University College London. I am also part of UCL's Systems and Software Engineering Group . My office is Room 5.03 in Malet Place Engineering Building, University College London, Gower Street, London WC1E 6BT, UK. You can email me ( yue.jia@ucl.ac.uk ). research interests My main research interests are in the areas of Mutation Testing, Mining Mobile App Store and Genetic Improvement (GI). I also have a broad range of research interests around the area of Search-Based Software Engineering (SBSE) in which software engineering tasks are represented as optimisation problems and solved with automated techniques. Recent activities Our work Automated Software Transplantation won a Gold 'Humie' at the Genetic and Evolutionary Computation Conference 2016 Copyright Yue Jia 2013-2017 | Last Updated on 2017-01-01 22:22:10 diff --git a/src/data/compiled_bios/1052.txt b/src/data/compiled_bios/1052.txt new file mode 100644 index 0000000000..202e7112c3 --- /dev/null +++ b/src/data/compiled_bios/1052.txt @@ -0,0 +1 @@ + Homepage of Bangti Jin -------------------------------------------------------------------------------------------------- Bangti Jin Department of Computer Science Malet Engineering Building 6.11 University College London Gower Street, London, WC1E 6BT Email : b.jin AT ucl.ac.uk I'm a Reader at Department of Computer Science , and Center for Inverse Problems , UCL. ---------------------------------------------------------------------------------------------------- Research Interests ( research id , google scholar , publications , companion codes ) Inverse and ill-pose problems: theory and algorithms Scientific computing PhD Students Mr. Chen Zhang (2016 - ) Alumni: Dr. Matthias Gehre (2013), Dr. Zhi Zhou (2015) Teaching Student projects (for MSc / Bachelor) ( new ) Berlin Mathematical Society Summer School, August 1-5, 2016 Teaching at UCL LTCC course computational inverse problems, fall 2015 Teaching at UCR MATH010A020 calculus of several variables, Winter 2014 MATH135B001 numerical analysis, Winter 2014 Teaching at TAMU MATH 151 Engineering Mathematics I (section 513-515, 821-824), Fall 2012 MATH 302 Discrete Mathematics (section 501), Spring 2012 Links Frequently accessed journals and publishers CMAME CPAM IJNME IP JCP MC NM SINUM SISC SIAM AMS Wiley Springer MathSciNet diff --git a/src/data/compiled_bios/1053.txt b/src/data/compiled_bios/1053.txt new file mode 100644 index 0000000000..4227ece12a --- /dev/null +++ b/src/data/compiled_bios/1053.txt @@ -0,0 +1 @@ + UCL DEPARTMENT OF COMPUTER SCIENCE Bioinformatics Group Professor David Jones Welcome to my home page at University College London . I am currently Professor of Bioinformatics and Head of the Bioinformatics Group in the Department of Computer Science. I am also Director of the Bloomsbury Centre for Bioinformatics , which is a joint Research Centre between UCL and Birkbeck College and which also provides bioinformatics training and support services to biomedical researchers. My appointment is held jointly with the Department of Structural and Molecular Biology , although all mail should be addressed to the Computer Science Dept. as shown below. Research interests My main research interests are in protein structure prediction and analysis, simulations of protein folding, Hidden Markov Model methods, transmembrane protein analysis, machine learning applications in bioinformatics, de novo protein design methodology, and genome analysis including the application of intelligent software agents. New areas of research include the use of high throughput computing and very large scale machine learning for bioinformatics applications, analysis and prediction of protein disorder, expression data analysis and the analysis and prediction of protein function and protein-protein interactions using deep learning techniques. Over the years I have authored a number of widely-used bioinformatics tools such as PSIPRED, GenTHREADER, MEMSAT and DISOPRED (see group pages for a full list with download links). I was also one of the founders of UCL "spin out" company Inpharmatica Ltd. The company, which at one point employed over 100 people in Central London, was bought by Galapagos NV in 2007. More on Inpharmatica here and here . Publications I'm pleased to be included in Clarivate's Highly Cited Researchers List list, which identifies the world's leading scientific researchers on the basis of the number of highly cited papers published between 2006 and 2016. This is a reflection not only of the hard work and scientific excellence of the students, postdocs and collaborators I've been fortunate to work with over this period, but also the high impact that bioinformatics research in general has had over the last 10-20 years. For more details on my lab's research output see below: Publication list, bibliometric data and preprints TEACHING I coordinate the Bioinformatics module (GI10) on the MSc in Computational Statistics and Machine Learning degree programme. I also contribute lectures to the 3rd year UG Bioinformatics module (BIOC3010) in the Dept. of Structural and Molecular Biology. EDITORIAL BOARDS I currently serve on the editorial boards of the following journals: Proteins: Structure, Function and Bioinformatics, Advances in Bioinformatics , BioData Mining and PLoS ONE . FUNDING We are grateful to the following organisations for financially supporting our research: BBSRC , The Wellcome Trust , Elsevier BV , EPSRC , MRC , The Royal Society , The European Commission , AstraZeneca , GlaxoSmithKline , Sun Microsystems . Links >> Bioinformatics Group Home Page >> Bloomsbury Centre for Bioinformatics (BCB) >> PSIPRED Server >> UCL Dept. of Computer Science >> Institute of Structural and Molecular Biology >> UCL Home Page Contact Details PLEASE NOTE that my lab and I are currently seconded to the Francis Crick Institute - see HERE for contact details. Prof. David T. Jones Department of Computer Science University College London Gower Street London WC1E 6BT United Kingdom. Tel: 020 7679 7982 (+44 20 7679 7982) FAX: 020 7387 1397 E-mail: d.t.jones@ucl.ac.uk Follow Me diff --git a/src/data/compiled_bios/1054.txt b/src/data/compiled_bios/1054.txt new file mode 100644 index 0000000000..539d1a9420 --- /dev/null +++ b/src/data/compiled_bios/1054.txt @@ -0,0 +1 @@ + This webpage is under redevelopment. Please check back soon. Last updated 12/11/2013 07:59:35 diff --git a/src/data/compiled_bios/1055.txt b/src/data/compiled_bios/1055.txt new file mode 100644 index 0000000000..cc05ee4dc3 --- /dev/null +++ b/src/data/compiled_bios/1055.txt @@ -0,0 +1 @@ + Brad Karp Professor of Computer Systems and Networks Head of Systems and Networks Research Group Department of Computer Science University College London Gower Street London, WC1E 6BT United Kingdom Office: 6.20 MPEB Voice: +44 20 7679 0406 Current Teaching Computer Science 3007: Computer Systems, Spring 2018 Computer Science 0133: Distributed Systems and Security (formerly M030/GZ03), Fall 2018 (past years: 2017 , 2016 , 2015 , 2014 , 2013 , 2012 , 2011 , 2010 , 2009 , 2008 , 2007 , 2006 ) Past Teaching Computer Science 3035 / GZ01: Networked Systems, Fall 2014 , 2013 , 2012 , 2011 , 2010 , 2009 Computer Science M038 / GZ06: Mobile and Cloud Computing, Spring 2016 , 2014 , 2013 , 2012 , 2011 , 2010 , 2009 , 2008 , 2007 , 2006 Upcoming Conferences and Workshops Steering committee member: ACM SIGCOMM Conference (2016-) ACM HotNets Workshop (2009-2014) Program committee member: SOSP 2019 , 2017 , 2015 HotOS 2019 ASPLOS 2019 Oakland 2017 HotNets 2017 (PC co-chair), 2008 SIGCOMM 2016 , 2015 (PC co-chair), 2014 , 2013 , 2012 , 2011 , 2009 ("heavy"), 2006 ("light") NSDI 2016 , 2013 , 2012 , 2011 , 2008 , 2007 OSDI 2010 EuroSys 2013 IPSN 2010 , 2006 MobiCom 2008 , 2005 , 2004 SenSys 2007 IPTPS 2006 WORLDS 2005 (PC co-chair), 2004 (at OSDI 2004) INFOCOM 2005 NetDB 2005 (at ICDE 2005) Recent and Upcoming Talks Frontiers in Security and Privacy (EPFL) , June 3rd, 2013 13th Annual High-Confidence Software and Systems (HCSS) Conference (NSA) , May 7th, 2013 EPFL Summer Research Institute , July 18th, 2008 COST ARCADIA US-EU Workshop: From Fundamentals to Infrastructure--Steps Toward the Future Internet, December 4th, 2006 NSF Workshop on Geometric Approaches to Ad Hoc and Sensor Networks, June 12th-13th, 2006 Google Labs, May 11th, 2006 Harvard University CS Department Colloquium , February 2nd, 2006 Stanford University CS Networking Seminar , November 10th, 2005 Biography Brad Karp earned a B.S. at Yale University in 1992, an S.M. at Harvard University in 1995, and a Ph.D. at Harvard University in 2000, all in Computer Science. In his dissertation, he designed robust and scalable geographic routing algorithms and protocols for wireless networks with large numbers of nodes and highly dynamic topologies. He was a staff scientist at ICIR , the ICSI Center for Internet Research (previously named ACIRI) at the International Computer Science Institute ( ICSI ) at Berkeley between the fall of 2000 and fall of 2002. While at ICIR, he worked on topics including scalable distributed storage for sensor networks, reordering-robust window-based congestion control, and traffic engineering for multi-hop wireless networks. He then spent three years as a Senior Staff Researcher at Intel Research Pittsburgh, and as an Adjunct Assistant Professor in Carnegie Mellon University's Computer Science Department. At Intel Research/CMU, he continued his long-standing research thrust on geographic routing (CLDP), and started new projects in distributed system architecture (Open DHT) and Internet worm defense (Autograph and Polygraph). Brad joined UCL in October 2005 as a recipient of a Royal Society-Wolfson Research Merit Award, where he is now a Professor of Computer Systems and Networks. Curriculum vitae Publications Gvozdiev, N., Vissicchio, S., Karp, B., and Handley, M., On Low-Latency-Capable Topologies, and their Impact on the Design of Intra-Domain Routing, to appear in the Proceedings of the ACM SIGCOMM Conference on Computer Communications (SIGCOMM 2018) , Budapest, Hungary, August, 2018. Gvozdiev, N., Vissicchio, S., Karp, B., and Handley, M., Low-Latency Routing on Mesh-Like Backbones, in the Proceedings of the Sixteenth ACM SIGCOMM Workshop on Hot Topics in Networks (HotNets 2017) , Palo Alto, CA, November, 2017. .pdf Nikolaidis, G., Handley, M., Jamieson, K., and Karp, B., COPA: Cooperative Power Allocation for Interfering Wireless Networks, in the Proceedings of the Eleventh International Conference on Emerging Networking Experiments and Technologies (CoNEXT 2015) , Heidelberg, Germany, December, 2015. .pdf Gvozdiev, N., Karp, B., and Handley, M., FUBAR: Flow Utility-Based Routing, in the Proceedings of the Thirteenth ACM SIGCOMM Workshop on Hot Topics in Networks (HotNets 2014) , Los Angeles, CA, October, 2014. .pdf Stefan, D., Yang, E., Marchenko, P., Russo, A., Herman, D., Karp, B., and Mazires, D., Protecting Users by Confining JavaScript with COWL, in the Proceedings of the 11th USENIX Symposium on Operating Systems Design and Implementation (OSDI 2014) , Broomfield, CO, October, 2014. .pdf Salameh, L., Zhushi, A., Handley, M., Jamieson, K., and Karp, B., HACK: Hierarchical ACKs for Efficient Wireless Medium Utilization, in the Proceedings of the 2014 USENIX Annual Technical Conference (USENIX ATC 2014) , Philadelphia, PA, June, 2014. Winner of Best Paper Award. .pdf Yang, E., Stefan, D., Mitchell, J., Mazires, D., Marchenko, P., and Karp, B., Toward Principled Browser Security, in the Proceedings of the Fourteenth Workshop on Hot Topics in Operating Systems (HotOS XIV) , Santa Ana Pueblo, NM, May, 2013. .pdf Gvozdiev, N., Karp, B., and Handley, M., LOUP: The Principles and Practice of Intra-Domain Route Dissemination, in the Proceedings of the Tenth USENIX Symposium on Networked Systems Design and Implementation (NSDI 2013) , Lombard, IL, April, 2013. .pdf Gvozdiev, N., Karp, B., and Handley, M., LOUP: Who's Afraid of the Big Bad Loop?, in the Proceedings of the Eleventh ACM SIGCOMM Workshop on Hot Topics in Networks (HotNets 2012) , Redmond, WA, October, 2012. .pdf Marchenko, P. and Karp, B., Structuring Protocol Implementations to Protect Sensitive Data, in the Proceedings of the Nineteenth USENIX Security Symposium (USENIX Security 2010) , Washington, DC, August, 2010. .pdf Bittau, A., Marchenko, P., Handley, M., and Karp, B., Wedge: Splitting Applications into Reduced-Privilege Compartments, in the Proceedings of the Fifth USENIX/ACM Symposium on Networked System Design and Implementation (NSDI 2008) , San Francisco, CA, April, 2008. .pdf Kim, Y.-J., Govindan, R., Karp, B., and Shenker, S., Lazy Cross-Link Removal for Geographic Routing, in the Proceedings of the Fourth ACM Conference on Embedded Networked Sensor Systems (SenSys 2006) , November, 2006. .pdf Newsome, J., Karp, B., and Song, D., Paragraph: Thwarting Signature Learning by Training Maliciously, in the Proceedings of the Ninth International Symposium on Recent Advances in Intrusion Detection (RAID 2006) , Hamburg, Germany, September, 2006. .pdf Garriss, S., Kaminsky, M., Freedman, M., Karp, B., Mazires, D., and Yu, H., Re: Reliable Email, in the Proceedings of the Third USENIX/ACM Symposium on Networked System Design and Implementation (NSDI 2006) , San Jose, CA, May, 2006. .pdf Kim, Y.-J., Govindan, R., Karp, B., and Shenker, S., On the Pitfalls of Geographic Face Routing, in the Proceedings of the Third ACM/SIGMOBILE International Workshop on Foundations of Mobile Computing (DIAL-M-POMC 2005) , Kln, Germany, September, 2005. .pdf Rhea, S., Godfrey, P.B., Karp, B., Kubiatowicz, J., Ratnasamy, S., Shenker, S., Stoica, I., and Yu, H., Open DHT: A Public DHT Service and Its Uses, in the Proceedings of the ACM SIGCOMM Conference on Computer Communications (SIGCOMM 2005) , Philadelphia, PA, August, 2005. .pdf Newsome, J., Karp, B., and Song, D., Polygraph: Automatically Generating Signatures for Polymorphic Worms, in the Proceedings of the IEEE Symposium on Security and Privacy (Oakland 2005) , Oakland, CA, May, 2005. .pdf Kim, Y.-J., Govindan, R., Karp, B., and Shenker, S., Geographic Routing Made Practical, in the Proceedings of the Second USENIX/ACM Symposium on Networked System Design and Implementation (NSDI 2005) , Boston, MA, May, 2005. .pdf Gummadi, R., Kothari, N., Kim, Y.-J., Govindan, R., Karp, B., Shenker, S., Reduced-State Routing in the Internet, in the Proceedings of the Third ACM SIGCOMM Workshop on Hot Topics in Networks (HotNets 2004) , San Diego, CA, November, 2004. .pdf Kim, H.-A. and Karp, B., Autograph: Toward Automated, Distributed Worm Signature Detection, in Proceedings of the 13th Usenix Security Symposium (Security 2004) , San Diego, CA, August, 2004. .ps.gz .pdf A previous version of this work: Intel Research Pittsburgh Technical Report IRP-TR-04-03, February, 2004. Karp, B., Ratnasamy, S., Rhea, S., and Shenker, S., Spurring Adoption of DHTs with OpenHash, a Public DHT Service, in Proceedings of the 3rd International Workshop on Peer-to-Peer Systems (IPTPS 2004) , Springer-Verlag Lecture Notes in Computer Science Hot Topics Series, February, 2004. .ps.gz .pdf Gibbons, P., Karp, B., Nath, S., Ke, Y., and Seshan, S., IrisNet: An Architecture for a Worldwide Sensor Web, in IEEE Pervasive Computing, Special Issue on Sensor and Actuator Networks , IEEE Press, October-December, 2003. Zhang, M., Karp, B., Floyd, S., and Peterson, L., RR-TCP: A Reordering-Robust TCP with DSACK, in Proceedings of the Eleventh IEEE International Conference on Networking Protocols (ICNP 2003) , Atlanta, GA, November, 2003. .ps.gz .pdf An extended version of this work is available as: ICSI Technical Report TR-02-006, Berkeley, CA, July 2002. .ps.gz .pdf Ratnasamy, S., Karp, B., Shenker, S., Estrin, D., Govindan, R., Yin, L., and Yu, F., Data-Centric Storage in Sensornets with GHT, A Geographic Hash Table, in Mobile Networks and Applications (MONET), Special Issue on Wireless Sensor Networks , 8:4, Kluwer Academic Publishers, August, 2003, pp. 427-442. .pdf Tolia, N., Kozuch, M., Satyanarayanan, M., Karp, B., Bressoud, T., and Perrig, A., Opportunistic Use of Content-Addressable Storage for Distributed File Systems, in Conference Proceedings of the Usenix 2003 Annual Technical Conference , San Antonio, TX, May, 2003. .ps.gz .pdf Shenker, S., Ratnasamy, S., Karp, B., Govindan, R., and Estrin, D., Data-Centric Storage in Sensornets, in Proceedings of the First ACM SIGCOMM Workshop on Hot Topics in Networks (HotNets 2002) , Princeton, NJ, October, 2002. .ps.gz .pdf Ratnasamy, S., Karp, B., Yin, L., Yu, F., Estrin, D., Govindan, R., and Shenker, S., GHT: A Geographic Hash Table for Data-Centric Storage, in Proceedings of the First ACM International Workshop on Wireless Sensor Networks and Applications (WSNA 2002) , Atlanta, GA, September, 2002. .ps.gz .pdf Karp, B., Challenges in Geographic Routing: Sparse Networks, Obstacles, and Traffic Provisioning, in the DIMACS Workshop on Pervasive Networking , Piscataway, NJ, May, 2001. .pdf Karp, B., Geographic Routing for Wireless Networks , Ph.D. Dissertation, Harvard University, Cambridge, MA, October, 2000. .pdf Karp, B. and Kung, H.T., GPSR: Greedy Perimeter Stateless Routing for Wireless Networks, in Proceedings of the Sixth Annual ACM/IEEE International Conference on Mobile Computing and Networking (MobiCom 2000) , Boston, MA, August, 2000, pp. 243-254. .ps.gz .pdf Karp, B., Mankin, A., Kung, H.T., Demirtjis, A., and Edwards, B., An Implementation Study of ABR/EPRCA, ATM Forum Contribution 96-587 , April, 1996. .ps.gz Blackwell, T., Chan, K., Chang, K., Charuhas, T., Karp, B., Kung, H.T., Lin, D., Morris, R., Seltzer, M., Smith, M., Young, C., Bahgat, O., Chaar, M., Chapman, A., Depelteau, G., Grimble, K., Huang, S., Hung, P., Kemp, M., Mahna, I., McLaughlin, J., Ng, M.T., Vincent, J., Watchorn, J., An Experimental Flow-Controlled Multicast ATM Switch, in Proceedings of the First Annual Conference on Telecommunications in Massachusetts , October, 1994. .ps.gz Blackwell, T., Chan, K., Chang, K., Charuhas, T., Gwertzman, J., Karp, B., Kung, H.T., Li, W.D., Lin, D., Morris, R., Polansky, R., Tang, D., Young, C., Zao, J., Secure Short-Cut Routing for Mobile IP, in Conference Proceedings of the Usenix Summer 1994 Technical Conference , Boston, Massachusetts, June 6-10, 1994, pp. 305-316. .ps.gz Karp, B. and Moulin, P., Implementation of Multiresolution Regression Splines on the MasPar: Function and Image Estimation in Parallel, Bell Communications Research Internal Technical Memorandum , February, 1993. Karp, B. and Bischof, C., Increasing the Granularity of Parallelism and Reducing Contention in Automatic Differentiation, Argonne National Laboratory Technical Memorandum ANL/MCS-TM-142 , November, 1990. Projects COWL and ScriptPolice: Protecting Users' Privacy in Web Browsers from Malicious JavaScript and Browser Extensions FUBAR and Polly: Policy-Compliant Path Selection and Delay and Throughput-Optimized Routing for Enterprise Networks HACK : Hierarchical Acknowledgement: Efficient Medium Utilization for TCP Traffic on WiFi LOUP : A Robust, Provably Loop-Free, Distributed Replacement for iBGP Routing Wedge : OS Primitives and Developer Tools for Exploit-Resistant Software Past Projects Open DHT : A Publicly Accessible DHT Service (formerly known as OpenHash) Autograph : Automated, Distributed Internet Worm Signature Detection GPSR : Geographic Routing RR-TCP : Reordering-Robust DSACK TCP Software GPSR simulation code for ns-2 ( details on the code) HUMR : the Harvard User-Level Metricom Radio driver for FreeBSD, built on tun, for Metricom Ricochet Starmode IEEE 802.11 Lucent WaveLAN driver for FreeBSD N23 credit driver for Digital OSF/1 UNIX Quality the La Pavoni Europiccola the Bodum french press Stumptown coffee beans The Economist The New York Times straight-shooting thesis advice , from H.T. Kung tasty grooves, shady characters, and the mu-major chord beautifully designed objects, whimsically presented Alfa Parts [form over function] luce [form and function] abhor this vacuum at your peril KAOS theory in wireless networks diff --git a/src/data/compiled_bios/1056.txt b/src/data/compiled_bios/1056.txt new file mode 100644 index 0000000000..fecc9472e1 --- /dev/null +++ b/src/data/compiled_bios/1056.txt @@ -0,0 +1 @@ + Professor Peter Kirstein Professor of Computer Communications Science CBE, FREng, DSc, FBCS, FIET, Flnstp Menu Skip to content Home Biography International Activities Publications Research Home Room 7.04 Deptartment of Computer Science UCL Malet Place Building Gower Street London WC1E 6BT UK Phone: +44 (0) 20 7679 7286 Email: kirstein@cs.ucl.ac.uk Advertisements Share this: Twitter Facebook Google Leave a Reply Cancel reply Fill in your details below or click an icon to log in: Email (required) (Address never made public) Name (required) Website You are commenting using your WordPress.com account. 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To find out more, including how to control cookies, see here: Cookie Policy Professor Peter Kirstein Customize Sign up Log in Copy shortlink Report this content Manage subscriptions diff --git a/src/data/compiled_bios/1057.txt b/src/data/compiled_bios/1057.txt new file mode 100644 index 0000000000..597bb33214 --- /dev/null +++ b/src/data/compiled_bios/1057.txt @@ -0,0 +1 @@ + Department of Computer Science Home Graham Knight Mobile Version Home Prospective students Research Industry and outreach Careers Current students People About Us Staff Intranet Forthcoming Events 21 Feb 15:00 Distinguished Lecture: RustBelt: Logical Foundations for the Future of Safe... 27 Feb 13:00 Research Seminar: Research Challenges in Devising the Next Generation... Graham Knight This database contains the 2017-18 versions of syllabuses. Syllabuses from the 2016-17 session are availablehere. Note: Whilst every effort is made to keep the syllabus and assessment records correct, the precise details must be checked with the lecturer(s). I am now part-time at UCL and am no longer involved in teaching. I look after some aspects of the CS website, in particular the migration to TYPO3. The best way to contact me is via email . There is extensive online help on using TYPO3. However, TYPO3 has a rich and sometimes baroque range of behaviours so please contact me if things don't seem to work in a useful way. I am stillenjoying a lot of cycling, mainly with the Hertfordshire Wheelers . If you are close to Hertfordshire and fancy joining us for a ride then please get in touch. Archive Publications List of publications whilst at UCL 1980-2004. Lecture Notes These are the lecture slides and notes from a general introduction to data communications module last taught in 2009-2010. Research Students Research students completing between 1988 and 2004. Syllabus This page was last modified on 15 Oct 2018 and is maintained by Graham Knight Computer Science Department University College London Gower Street London WC1E 6BT +44 (0)20 7679 7214 Disclaimer | Cookies | Accessibility | Privacy | Advanced Search | Help Copyright 1999- 2018 UCL diff --git a/src/data/compiled_bios/1058.txt b/src/data/compiled_bios/1058.txt new file mode 100644 index 0000000000..f9e2a93be1 --- /dev/null +++ b/src/data/compiled_bios/1058.txt @@ -0,0 +1 @@ + Home Publications Students Code Teaching Projects Iasonas Kokkinos Department of Computer Science, University College London 66-72 Gower Street, London WC1E 6BT, UK i.kokkinos@cs.ucl.ac.uk Facebook Artificial Intelligence Research 6 Rue Menars, Paris, 75002, France iasonask@fb.com CV google scholar News The evaluation servers for the DensePose-COCO and Densepose-PoseTrack challenges at ECCV are up-and-running! Check out the announcement on densepose.org Two papers accepted to ECCV 2018. About me I received the Diploma and Ph.D. degrees in 2001 and 2006 from the School of Electrical and Computer Engineering in NTUA . I worked as a postdoc in UCLA between 2006 and 2008, and then joined Ecole Centrale Paris as Assistant Professor in the Department of Applied Mathematics, and the GALEN research team of INRIA-Saclay . Starting from 2016 I am with UCL's department of Computer Science and Facebook's Artificial Intelligence Research (FAIR) team. My current research interests are computer vision (detection, segmentation, shape modelling) and machine learning (deep learning, structured prediction). 2007 All Rights Reserved. Design by Free CSS Templates . diff --git a/src/data/compiled_bios/1059.txt b/src/data/compiled_bios/1059.txt new file mode 100644 index 0000000000..e7d65c71d3 --- /dev/null +++ b/src/data/compiled_bios/1059.txt @@ -0,0 +1 @@ + Ghita KOUADRI MOSTEFAOUI PhD, FHEA I study best practices in teaching/learning computer science in higher education. Bio: I am a Senior Teaching Fellow at the Department of Computer Science, University College London. Previousely, I worked as a Software Engineer at the UK's synchrotron . Prior to that, I was a Research Officer at the Department of Computer Science, Oxford University . Contact: g.kouadri [AT] ucl.ac.uk Twitter: @ghitakm Office: GS 1.02 66-72 Gower Street University College London Dept. of Computer Science London WC1E 6AA Upcoming Travel & Public Talks coming soon ./. News New website. 11/05/2016 More news Education University of Fribourg and University Paris VI PhD in Computer Science (Joint thesis) EPFL, Ecole Polytechnique Federale de Lausanne, Switzerland Predoctoral School in Computer Science University of Blida, Algeria MEng in Electronics Engineering Research Interests Enhancing Computer Science Teaching and Learning Automated Software Engineering Sentic Computing Teaching Current COMP0066 Introductory Programming COMP0069 Systems Infrastructure (Operating systems and Compilers parts) COMP0071 Software Engineering Past COMP105P Robotics Prgramming COMPGC01 Introduction to Programming COMPGC04 Systems Infrastructure Students Projects Click to see list of proposals Selected Publications Google Scholar Tweets by @GhitaKM You can follow me on Twitter at @ghitakm . diff --git a/src/data/compiled_bios/106.txt b/src/data/compiled_bios/106.txt new file mode 100644 index 0000000000..d3f4254306 --- /dev/null +++ b/src/data/compiled_bios/106.txt @@ -0,0 +1 @@ +Professor Rice addresses the mechanics and physics of earth and environmental processes. That involves the solid and fluid mechanics of stressing, deformation, fracture and flow to address problems in seismology and tectonophysics, glaciology, and surficial geologic processes, as well as in geomechanical and hydrological aspects of civil and environmental engineering.In his work on earthquakes, he has addressed rupture nucleation in relation to laboratory fault friction properties, dynamic slip propagation, and stressing and seismicity in the lithosphere, and has developed models of earthquake sequences and interactions along faults. That work has addressed continental strike-slip zones, particularly the San Andreas fault, and subduction zones worldwide. Also, he has developed the theory of poroelastic and other effects in fluid-infiltrated earth materials, with applications in geophysics and geotechnology, and has contributed to the theory of deformation localization into shear zones, the constitutive representation and stability analysis of frictional slip, and the modeling of landslides. His work on engineering mechanics and materials physics has addressed the theory of stress fields near crack tips and crack propagation, especially in elastic-plastic metals, brittle cracking along interfaces between dissimilar materials, conservation integral metodology in fracture theory, the structure of inelastic constitutive relations for ductile crystals and polycrystals, microscopic mechanisms of cleavage and dislocation generation at crack tips, ductile rupture by plastic hole growth, creep failures by diffusive cavitation, and the thermodynamics of interfacial embrittlement by solute segregation. As part of his work, he has contributed to techniques of finite-element computational mechanics for inelastic and large-strain problems, and more recently to spectral computational methods for crack and fault dynamics.Current work in his group is on the science of earthquakes and on hydrologic processes involving fluid interactions with deformation and failure of earth materials as they arise in seismology as well as in landslides, glacial motions, fluid injections, and tsunamis. Topics include slip-rupture dynamics through branched and offset fault systems, including effects of damaged fault-border zones, physics of fault friction, thermally driven pore fluid pressurization and fault weakening in rapid slip, seismicity and transient aseismic deformations in subduction zones, tsunami generation and propagation, landslides and the transition to debris flows, meltwater penetration through glaciers, sliding processes at their beds and iceberg calving, and computational mechanics methodology for problems in some of those domains. diff --git a/src/data/compiled_bios/1060.txt b/src/data/compiled_bios/1060.txt new file mode 100644 index 0000000000..46f72eba19 --- /dev/null +++ b/src/data/compiled_bios/1060.txt @@ -0,0 +1 @@ + DEPARTMENT OF COMPUTER SCIENCE Dr. Jens Krinke Home - Contact - Teaching - Research - Publications Jens Krinke Senior Lecturer Department of Computer Science University College London j.krinke@ucl.ac.uk PGP/GnuPG key Director of the Centre for Research on Evolution Search & Testing ( CREST ) in the Software Systems Engineering Group . Programme Director MSc SSE/FSE Teaching I am involved in teaching of the following modules: COMP0104 : Tools and Environments. COMP0108 : Research Methods in Software Engineering. COMP0060 : Malware. Are you looking for a project? I supervise student's projects in the area of software analysis and can suggest appropriate topics. Please see my projects for ideas. Office hours: Thursdays, 17:00-18:00, MPEB 5.06 Please contact me via email before. No office hours on the following days: 31/01/2019 No office hours outside term time! Research Software Analysis Clone Detection Code Review Bug Detection Program Slicing Publications Last modified: 01/28/2019 diff --git a/src/data/compiled_bios/1061.txt b/src/data/compiled_bios/1061.txt new file mode 100644 index 0000000000..ee556d42ee --- /dev/null +++ b/src/data/compiled_bios/1061.txt @@ -0,0 +1 @@ + Emmanuel Letier Requirements Engineering, Goal-Oriented Modelling, Formal Methods, Systems Thinking Search Main menu Skip to primary content Skip to secondary content Home Publications Teaching Blog Emmanuel Letier Senior Lecturer (Associate Professor) Head of Software Systems Engineering Group Department of Computer Science University College of London Gower Street London WC1E 6BT, UK office : MPEB 6.05 phone : +44 (0)20 7679 4477 fax : +44 (0)20 7387 1397 e-mail : e.letier@ucl.ac.uk I am a Senior Lecturer (Associate Professor) and Head of the Software Systems Engineering Group in the Department of Computer Science at University College London. My research is in systems requirements engineering and software architecture. I study techniques and tools for modelling stakeholders goals, reason about these goals, and relate them to precise specification of software functional requirements, quality requirements and to the design of a software architecture that meet these requirements. I have a particular interest for the application of formal logics and Bayesian decision analysis for analysing complex software engineering problems. I chair the BCS Requirements Engineering Specialist Group . I have a PhD in Software Engineering from the University of Louvain in Belgium, an engineering degree in Applied Mathematics and a one-year conversion degree in Philosophy from the same university. Latest Posts The Value of Requirements Uncertainty Goal Modelling for DNA Programming Incomplete Obstacle Resolution in Patient Monitoring System Requirements are never perfect. When are they good enough? Sustainability Requirements Art Archives October 2013 June 2012 May 2012 April 2012 March 2012 Categories Agile (2) Collaborative Modelling (1) Decision Analysis (1) Goal Modelling (3) Publication (1) Requirements Risks (3) Research Impact (2) System Evolution (2) Talk (1) Uncategorized (2) Social Media Subscribe to Blog via Email Meta Log in Entries RSS Comments RSS WordPress.org Proudly powered by WordPress diff --git a/src/data/compiled_bios/1062.txt b/src/data/compiled_bios/1062.txt new file mode 100644 index 0000000000..f0db7ad497 --- /dev/null +++ b/src/data/compiled_bios/1062.txt @@ -0,0 +1 @@ +Search this site Giacomo Livan Menu About me Publications Research Vitae Giacomo Livan About me Publications Research Vitae More About me Publications Research Vitae About me I am an Early Career Fellow (2016-2020) of the UK Engineering and Physical Sciences Research Council based at UCL's Department of Computer Science. My area of research is Complexity Science and its applications. My broad research goal is to understand the emergent behaviour of socio-economic systems with a combination of data-driven approaches and theoretical modelling inspired by the Physics of complex systems. Made with the new GoogleSites , an effortless way to create beautifulsites. Create a site Report abuse diff --git a/src/data/compiled_bios/1063.txt b/src/data/compiled_bios/1063.txt new file mode 100644 index 0000000000..1d22895249 --- /dev/null +++ b/src/data/compiled_bios/1063.txt @@ -0,0 +1 @@ + Close UCLIC - UCL Interaction Centre Home Home People Academics Administration Researchers PhD students Visitors Former UCLICers Study Prospective Research Students Induction Week Prospective Taught Students Studying HCI Part-Time Study Apply Now Graduate Destinations Student views FAQ New Students Current Research Students Current Taught Students Distinction Projects UCLIC Alumni Research Affective Computing Health and Wellbeing Collaboration & Communication Interactions in the Wild Designing Future Interfaces Physical Computing Educational Technologies Persuasive Technologies AI and HCI Assistive and Enabling Technology Publications Books About us Collaborate with us Research Collaborations Teaching Collaborations UCLIC's History News, Events, Seminars News Events Seminars Jobs Home People Academics Administration Researchers PhD students Visitors Former UCLICers Study Research Publications About us News, Events, Seminars Tweets by nicmarquardt Home People Nicolai Marquardt Nicolai Marquardt Associate Professor & MSc Project Coordinator n.marquardt@ucl.ac.uk +44 (0)20 3108 7065 (x57065) Room: 2.08 UCLIC, University College London 66 - 72 Gower Street London, WC1E 6EA United Kingdom @nicmarquardt Research Website Office hour Wednesdays from 13:00 - 14:00 in room 2.08 in 66-72 Gower Street. Research Interests ubiquitous computing human-computer interaction physical computing proxemics in HCI tangible user interfaces interactive surfaces sensor-based systems prototyping toolkits Brief biography Nicolai Marquardt is Associate Professor in Physical Computing at the University College London. At the UCL Interaction Centre he is working in the research areas of ubiquitous computing, physical user interfaces, proxemic interactions, and interactive surfaces. Nicolai received his PhD in Computer Science at the University of Calgary working with his advisor Saul Greenberg. He is a former intern at Microsoft Research Cambridge/UK and Redmond/USA and received an MSc/diplom degree in Media Systems from the Bauhaus-University Weimar. Nicolai is co-author of the book Sketching User Experiences: The Workbook (Morgan Kaufmann 2012) with Saul Greenberg, Sheelagh Carpendale, and Bill Buxton ( sketchbook.cpsc.ucalgary.ca ). Research Publications Authors Title Year Publication Frederik Brudy , C Holz, R Rdle, C-J Wu, Steven Houben , CN Klokmose, Nicolai Marquardt Cross-Device Taxonomy: Survey, Opportunities and Challenges of Interactions Spanning Across Multiple Devices 2019 Proceedings of the ACM Conference on Human Factors in Computing Systems 2019 (ACM CHI'19), Conference paper (text), Glasgow, UK Temitayo Olugbade , Aneesha Singh , Nadia Berthouze , Nicolai Marquardt , MSH Aung, A Williams How can affect be detected and represented in technological support for physical rehabilitation? 2019 ACM Transactions on Computer-Human Interaction (TOCHI), Journal article Frederik Brudy , S Suwanwatcharachat, W Zhang, Steven Houben , Nicolai Marquardt EagleView: A Video Analysis Tool for Visualising and Querying Spatial Interactions of People and Devices 2018 ACM ISS 2018, Conference paper (text), Tokyo, Japan M Lewis, M Sturdee, Nicolai Marquardt Applied sketching in HCI: Hands-on course of sketching techniques 2018 CHI Conference on Human Factors in Computing Systems, Conference paper (text), Montreal QC, Canada Youngjun Cho , Nadia Berthouze , Nicolai Marquardt , S Julier Deep Thermal Imaging: Proximate Material Type Recognition in the Wild through Deep Learning of Spatial Surface Temperature Patterns 2018 2018 CHI Conference on Human Factors in Computing Systems (CHI 2018), Conference paper (text), Montreal, QC, Canada Z Lechelt, Yvonne Rogers , N Yuill, L Nagl, G Ragone, Nicolai Marquardt Inclusive Computing in Special Needs Classrooms: Designing for All 2018 2018 CHI Conference on Human Factors in Computing Systems (CHI '18), Conference paper (text), Montreal, QC, Canada D Ledo, Steven Houben , J Vermeulen, Nicolai Marquardt , L Oehlberg, S Greenberg Evaluation strategies for HCI Toolkit research 2018 CHI Conference on Human Factors in Computing Systems, Conference paper (text), Montreal QC, Canada M Lewis, M Sturdee, Nicolai Marquardt , T Hoang Sketchi: Hands-on special interest group on sketching in HCI 2018 CHI Conference on Human Factors in Computing Systems, Conference paper (text), Montreal QC, Canada Nicolai Marquardt , Frederik Brudy , Can Liu , Benedikt Bengler , C Holz SurfaceConstellations: A Modular Hardware Platform for Ad-Hoc Reconfigurable Cross-Device Workspaces 2018 2018 CHI Conference on Human Factors in Computing Systems (CHI '18), Conference paper (text), Montreal, QC, Canada Nicolai Marquardt , Benedikt Bengler , Frederik Brudy , C Holz, Can Liu Surface constellations applications: Use cases of ad-hoc reconfigurable cross-device workspaces 2018 Conference on Human Factors in Computing Systems - Proceedings, Conference paper (text) Frederik Brudy , JK Budiman, Steven Houben , Nicolai Marquardt Investigating the Role of an Overview Device in Multi-Device Collaboration 2018 Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (ACM CHI 2018), Conference paper (text), Montreal, Canada Temitayo Olugbade , Nadia Berthouze , Nicolai Marquardt , A Williams Human Observer and Automatic Assessment of Movement Related Self-Efficacy in Chronic Pain: from Exercise to Functional Activity 2018 IEEE Transactions on Affective Computing, Journal article GR Sethu-Jones, Yvonne Rogers , Nicolai Marquardt Data in the garden: a framework for exploring provocative prototypes as part of research in the wild 2017 OZCHI '17, Conference paper (text), Brisbane, Australia Youngjun Cho , N Bianchi-Berthouze, S Julier, Nicolai Marquardt ThermSense: Smartphone-based Breathing Sensing Platform using Noncontact Low-Cost Thermal Camera 2017 International Conference on Affective Computing and Intelligent Interaction (ACII), Conference paper (text), San Antonio, US IB Rodriguez, Nicolai Marquardt Gesture elicitation study on how to opt-in & opt-out from interactions with public displays 2017 Proceedings of the 2017 ACM International Conference on Interactive Surfaces and Spaces, ISS 2017, Conference paper (text) Frederik Brudy , Nicolai Marquardt The Tabletop is Dead? - Long Live the Tables Top! 2017 Working/Discussion Paper, Brighton, UK Youngjun Cho , SJ Julier, Nicolai Marquardt , N Bianchi-Berthouze Robust tracking of respiratory rate in high-dynamic range scenes using mobile thermal imaging 2017 Biomedical Optics Express, 2017, Journal article Steven Houben , Nicolai Marquardt , J Vermeulen, C Klokmose, J Schoning, H Reiterer, C Holz Opportunities and challenges for cross-device interactions in the wild 2017 Interactions, Journal article K Sauv, Steven Houben , Nicolai Marquardt , Saskia Bakker , B Hengeveld, Sarah Gallacher , Yvonne Rogers LOOP: A physical artifact to facilitate seamless interaction with personal data in everyday life 2017 DIS 2017 Companion - Proceedings of the 2017 ACM Conference on Designing Interactive Systems, Conference paper (text) Nicolai Marquardt , Steven Houben , M Beaudouin-Lafon, AD Wilson HCITools: Strategies and best practices for designing, evaluating and sharing technical HCI toolkits 2017 Conference abstract/presentation slides Nicolai Marquardt Sketching user experiences: Hands-on course of sketching techniques for HCI research 2017 Conference abstract/presentation slides CJ Wu, Steven Houben , Nicolai Marquardt EagleSense: Tracking People and Devices in Interactive Spaces using Real-Time Top-View Depth-Sensing 2017 ACM CHI Conference on Human Factors in Computing Systems, Conference paper (text), Denver, USA Yvonne Rogers , Venus Shum , Nicolai Marquardt , Susan Lechelt , Rose Johnson , H Baker, M Davies From the BBC Micro to micro: Bit and beyond: A British innovation 2017 Interactions, Journal article Yvonne Rogers , Venus Shum , Nicolai Marquardt , ZD Lechelt, Rose Johnson , H Baker, M Davies From the BBC micro to micro: bit and beyond: a British innovation 2017 Journal article Z Lechelt, Yvonne Rogers , Nicolai Marquardt , Frederik Brudy MakeMe, codeme, connectus: Learning digital fluency through tangible magic cubes 2017 CEUR Workshop Proceedings, Conference paper (text) Steven Houben , J Schoning, J Vermeulen, Nicolai Marquardt , C Klokmose, H Reiterer Cross-Surface: Challenges and Opportunities of Spatial and Proxemic Interaction 2016 ACM International Conference on Interactive Surfaces and Spaces (ISS), Conference abstract/presentation slides, Niagara Falls, CANADA Frederik Brudy , Steven Houben , Nicolai Marquardt , Yvonne Rogers CurationSpace: Cross-Device Content Curation Using Instrumental Interaction 2016 ACM conference on Interactive Surfaces and Spaces, ISS '16, November 06 - 09, 2016, Niagara Falls, ON, Canada, Conference paper (text) M Hancock, Nicolai Marquardt , Johannes Schning , M Tory Welcome to ISS 2016 2016 Conference abstract/presentation slides M Hancock, Nicolai Marquardt , Johannes Schning , M Tory Welcome to ISS 2016 2016 Companion Proceedings of the 2016 ACM International Conference on Interactive Surfaces and Spaces: Nature Meets Interactive Surfaces, ISS 2016, Conference paper (text) Youngjun Cho , A Bianchi, Nicolai Marquardt , NL Bianchi-Berthouze RealPen: Providing Realism in Handwriting Tasks on Touch Surface using Auditory-Tactile Feedback 2016 User Interface Software and Technology Symposium (UIST'16), Conference paper (text), Tokyo, Japan Z Lechelt, Yvonne Rogers , Nicolai Marquardt , Venus Shum Democratizing children's engagement with the internet of things through connectus 2016 UbiComp 2016 Adjunct - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, Conference paper (text) Rose Johnson , Venus Shum , Yvonne Rogers , Nicolai Marquardt Make or Shake: An Empirical Study of the Value of Making in Learning about Computing Technology 2016 IDC 2016, Conference paper (text), Manchester UK Aisling Ann O'Kane , A Hurst, G Niezen, Nicolai Marquardt , Jon Bird , G Abowd Workshop abstract: Advances in DIY Health and Wellbeing 2016 CHI'16 - CHI Conference on Human Factors in Computing Systems, Conference paper (text), San Jose, CA, USA Steven Houben , Nicolai Marquardt , J Vermeulen, Johannes Schning , CN Klokmose, H Reiterer, H Korsgaard, M Schreiner Cross-Surface: Challenges and Opportunities for 'bring your own device' in the wild 2016 CHI'16 CHI Conference on Human Factors in Computing Systems, Conference paper (text), San Jose, CA, USA Steven Houben , Connie Golsteijn , Sarah Gallacher , Rose Johnson , Saskia Bakker , Nicolai Marquardt , L Capra, Yvonne Rogers Physikit: Data Engagement Through Physical Ambient Visualizations in the Home 2016 CHI 2016, Conference paper (text), San Jose, USA M Porcheron, A Lucero, A Quigley, Nicolai Marquardt , J Clawson, K O'Hara Proxemic mobile collocated interactions 2016 Conference on Human Factors in Computing Systems - Proceedings, Conference paper (text) Frederik Brudy , Nicolai Marquardt , Yvonne Rogers , Abigail Sellen , K O'Hara The Challenges of Using an Existing Cross-Device Interaction Prototype for Supporting Actual Curation Practices 2016 Working/Discussion Paper, San Jose, CA ZD Lechelt, Yvonne Rogers , Nicolai Marquardt , Venus Shum ConnectUs: A New Toolkit for Teaching about the Internet of Things 2016 ACM CHI 2016, Conference paper (text), San Jose, CA J Vermeulen, Steven Houben , Nicolai Marquardt Fluent Transitions Between Focused and Peripheral Interaction in Proxemic Interactions 2016 Chapter Aneesha Singh , Ana Tajadura-Jimenez , Nadia Berthouze , Nicolai Marquardt , M Tentori, R Bresin, D Kulic Mind the Gap: A SIG on Bridging the Gap in Research on Body Sensing, Body Perception and Multisensory Feedback 2016 CHI 2016, Conference paper (text), San Jose, USA Geraint Jones , Yvonne Rogers , Nicolai Marquardt Presence and Use: Sensors In Community Gardening 2016 CHI2016 NatureCHI Workshop - Unobtrusive User Experiences with Technology in Nature, Conference abstract/presentation slides, San Jose, CA Steven Houben , J Vermeulen, C Klokmose, Nicolai Marquardt , Johannes Schning , H Reiterer Cross-surface: Workshop on interacting with multi-device ecologies in the wild 2015 Proceedings of the 2015 ACM International Conference on Interactive Tabletops and Surfaces, ITS 2015, Conference paper (text) Temitayo Olugbade , N Bianchi-Berthouze, Nicolai Marquardt , ACDEC Williams Pain level recognition using kinematics and muscle activity for physical rehabilitation in chronic pain 2015 IEEE International Conference on Affective Computing & Intelligent Interaction,, Conference paper (text) Temitayo Olugbade , N Bianchi-Berthouze, Nicolai Marquardt , C. WIlliams AC de Pain Level Recognition using Kinematics and Muscle Activity for Physical Rehabilitation in Chronic Pain 2015 Proceedings 6th Conf. Affective Computing and Intelligent Interaction, Conference proceeding Jimenez A Tajadura, M Basia, O Deroy, M Fairhurst, Nicolai Marquardt , N Bianchi-Berthouze As light as your footsteps: altering walking sounds to change perceived body weight, emotional state and gait 2015 ACM CHI 2015, Conference paper (text) Frederik Brudy , Nicolai Marquardt , H Jetter, Steven Houben , Abigail Sellen , Yvonne Rogers Supporting Collaborative Curation of Historic Documents with Mobile Ad Hoc Cross-Device Interactions 2015 Working/Discussion Paper, Seoul, Korea Nicolai Marquardt , S Greenberg Proxemic Interactions: From Theory to Practice 2015 Book Nicolai Marquardt , F Schardong, A Tang EXCITE: EXploring Collaborative Interaction in Tracked Environments 2015 Human-Computer Interaction - INTERACT 2015 - 15th IFIP TC 13 International Conference, Bamberg, Germany, September 14-18, 2015, Proceedings, Part II, Conference paper (text) Temitayo Olugbade , NL Bianchi-Berthouze, Nicolai Marquardt , Williams A CdeC Pain Level Recognition using Kinematics and Muscle Activity for Physical Rehabilitation in Chronic Pain 2015 Affective Computing and Intelligent Interaction, Conference proceeding Temitayo Olugbade , N Bianchi-Berthouze, Nicolai Marquardt , ACDEC Williams Pain level recognition using kinematics and muscle activity for physical rehabilitation in chronic pain 2015 IEEE International Conference on Affective Computing & Intelligent Interaction,, Conference proceeding J Vermeulen, K Luyten, K Coninx, Nicolai Marquardt , Jon Bird Proxemic Flow: Dynamic Peripheral Floor Visualizations for Revealing and Mediating Large Surface Interactions 2015 Human-Computer Interaction - INTERACT 2015 - 15th IFIP TC 13 International Conference, Bamberg, Germany, September 14-18, 2015, Proceedings, Part IV, Conference paper (text) D Ledo, S Greenberg, Nicolai Marquardt , S Boring Proxemic-Aware Controls: Designing Remote Controls for Ubiquitous Computing Ecologies 2015 Proceedings of the 17th International Conference on Human-Computer Interaction with Mobile Devices and Services, Conference paper (text) Sarah Gallacher , Connie Golsteijn , V Kalnikaite, Steven Houben , Rose Johnson , Danny Harrison , Nicolai Marquardt SenCity 2: Visualizing the Hidden Pulse of a City 2015 Adjunct Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers, Conference paper (text) Nicolai Marquardt Sketching User Experiences Tutorial 2015 Human-Computer Interaction - INTERACT 2015 - 15th IFIP TC 13 International Conference, Bamberg, Germany, September 14-18, 2015, Proceedings, Part IV, Conference paper (text) Nicolai Marquardt , S Greenberg Sketching User Experiences: The Hands-on Course 2015 Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems, Seoul, CHI 2015 Extended Abstracts, Republic of Korea, April 18 - 23, 2015, Conference paper (text) Steven Houben , Nicolai Marquardt WatchConnect: A Toolkit for Prototyping Smartwatch-Centric Cross-Device Applications 2015 Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems, CHI 2015, Seoul, Republic of Korea, April 18-23, 2015, Conference paper (text) Geraint Jones , Yvonne Rogers , Nicolai Marquardt Tiny Data: Situated Data Analysis to Support Community Decision Making 2015 CHI 2015 Alternative Systems Workshop, Conference abstract/presentation slides, Seoul Temitayo Olugbade , MSH Aung, Nicolai Marquardt , N Bianchi-Berthouze, ACDEC Williams Bi-Modal Detection of Painful Reaching for Chronic Pain Rehabilitation Systems 2014 ICMI '14: 2014 International Conference on Multimodal Interaction, Conference paper (text), Istanbul, Turkey J Baker, Nicolai Marquardt , Yvonne Rogers Open, Small-scale Fabrication: A Catalyst for Educating Communities about the Creation of Products 2014 FabLearn Europe: Digital Fabrication in Education Conference, Conference paper (text) Temitayo Olugbade , MS Aung, Nicolai Marquardt , Williams A CdeC, N Bianchi-Berthouze Bi-Modal Detection of Painful Reaching for Chronic Pain Rehabilitation Systems 2014 International Conference on Multimodal Interaction (ICMI'14), Conference paper (text), Turkey R Rdle, HC Jetter, Nicolai Marquardt , H Reiterer, Yvonne Rogers Huddlelamp: Spatially-Aware mobile displays for ad-hoc around-the-table collaboration 2014 ITS 2014 - Proceedings of the 2014 ACM International Conference on Interactive Tabletops and Surfaces, Conference paper (text) S Boring, S Greenberg, J Vermeulen, J Dostal, Nicolai Marquardt The Dark Patterns of Proxemic Sensing 2014 IEEE Computer, Journal article J Vermeulen, K Luyten, K Coninx, Nicolai Marquardt The design of slow-motion feedback 2014 Designing Interactive Systems Conference 2014, DIS 14, Vancouver, BC, Canada, June 21-25, 2014, Conference paper (text) J Hurtienne, H-C Jetter, Nicolai Marquardt , T Pederson Ubicomp Beyond Devices: People, Objects, Space and Meaning 2014 Proceedings of the 8th Nordic Conference on Human-Computer Interaction: Fun, Fast, Foundational, Conference paper (text) K Hinckley, Nicolai Marquardt Cooperative federation of digital devices via proxemics and device micro-mobility 2013 Patent M Weigel, S Boring, J Steimle, Nicolai Marquardt , S Greenberg, A Tang ProjectorKit: easing rapid prototyping of interactive applications for mobile projectors 2013 15th International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 13, Munich, Germany, August 27 - 30, 2013, Conference paper (text) Nicolai Marquardt Proxemic interactions with and around digital surfaces 2013 The ACM International Conference on Interactive Tabletops and Surfaces, ITS 13, St Andrews, United Kingdom - October 06 - 09, 2013, Conference paper (text) Nicolai Marquardt Sketching user experiences tutorial: stories, strategies, surfaces 2013 The ACM International Conference on Interactive Tabletops and Surfaces, ITS 13, St Andrews, United Kingdom - October 06 - 09, 2013, Conference paper (text) Nicolai Marquardt , T Ballendat, S Boring, S Greenberg, K Hinckley Gradual engagement: Facilitating information exchange between digital devices as a function of proximity 2012 ITS 2012 - Proceedings of the ACM Conference on Interactive Tabletops and Surfaces, Conference paper (text) Nicolai Marquardt , K Hinckley, S Greenberg Cross-device interaction via micro-mobility and F-formations 2012 UIST'12 - Proceedings of the 25th Annual ACM Symposium on User Interface Software and Technology, Conference paper (text) XA Chen, Nicolai Marquardt , A Tang, S Boring, S Greenberg Extending a mobile device's interaction space through body-centric interaction 2012 MobileHCI'12 - Proceedings of the 14th International Conference on Human Computer Interaction with Mobile Devices and Services, Conference paper (text) S Boring, D Ledo, XA Chen, Nicolai Marquardt , A Tang, S Greenberg The fat thumb: Using the thumb's contact size for single-handed mobile interaction 2012 MobileHCI'12 - Proceedings of the 14th International Conference on Human Computer Interaction with Mobile Devices and Services, Conference paper (text) D Ledo, MA Nacenta, Nicolai Marquardt , S Boring, S Greenberg The haptictouch toolkit: Enabling exploration of haptic interactions 2012 Proceedings of the 6th International Conference on Tangible, Embedded and Embodied Interaction, TEI 2012, Conference paper (text) Nicolai Marquardt , S Greenberg Informing the design of proxemic interactions 2012 IEEE Pervasive Computing, Journal article S Greenberg, S Carpendale, Nicolai Marquardt , B Buxton Sketching User Experiences: The Workbook 2012 Book S Greenberg, S Carpendale, Nicolai Marquardt , B Buxton Sketching User Experiences 2012 Book S Greenberg, S Carpendale, Nicolai Marquardt , B Buxton The narrative storyboard 2012 Interactions, Journal article Nicolai Marquardt , J Kiemer, D Ledo, S Boring, S Greenberg Designing user-, hand-, and handpart-aware tabletop interactions with the TOUCHID toolkit 2011 Proceedings of the ACM International Conference on Interactive Tabletops and Surfaces, ITS'11, Conference paper (text) Nicolai Marquardt , R Diaz-Marino, S Boring, S Greenberg The Proximity Toolkit: Prototyping Proxemic Interactions in Ubiquitous Computing Ecologies 2011 UIST 2011, Conference paper (text), Santa Barbara, CA, USA Nicolai Marquardt , R Jota, S Greenberg, JA Jorge The continuous interaction space: Interaction techniques unifying touch and gesture on and above a digital surface 2011 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Conference paper (text) S Greenberg, Nicolai Marquardt , T Ballendat, R Diaz-Marino, M Wang Proxemic interactions 2011 Interactions, Journal article T Ballendat, Nicolai Marquardt , S Greenberg Proxemic interaction: Designing for a proximity and orientation-aware environment 2010 ACM International Conference on Interactive Tabletops and Surfaces, ITS 2010, Conference paper (text) Nicolai Marquardt , J Kiemer, S Greenberg What caused that touch? Expressive interaction with a surface through fiduciary-tagged gloves 2010 ACM International Conference on Interactive Tabletops and Surfaces, ITS 2010, Conference paper (text) Nicolai Marquardt , T Ballendat, S Greenberg Proxemic Interaction: Designing for a Proximity and Orientation-Aware Environment 2010 ACM ITS 2010, Conference paper (text), Saarbruecken, Germany Nicolai Marquardt , AS Taylor, N Villar, S Greenberg Rethinking RFID: Awareness and control for interaction with RFID systems 2010 Conference on Human Factors in Computing Systems - Proceedings, Conference paper (text) Nicolai Marquardt , T Gross, S Carpendale, S Greenberg Revealing the invisible: Visualizing the location and event flow of distributed physical devices 2010 TEI'10 - Proceedings of the 4th International Conference on Tangible, Embedded, and Embodied Interaction, Conference paper (text) T Gross, Nicolai Marquardt Creating, Editing, and Sharing Complex Ubiquitous Computing Environment Configurations with CollaborationBus 2010 Scientific International Journal for Parallel and Distributed Computing. Scalable Computing: Practice and Experience - SCPE. Special Issue: Parallel, Distributed and Network-based Computing: an Application Perspective, Journal article Nicolai Marquardt , MA Nacenta, JE Young, S Carpendale, S Greenberg, E Sharlin The Haptic Tabletop Puck: Tactile feedback for interactive tabletops 2009 ITS 2009 - The ACM International Conference on Interactive Tabletops and Surfaces, Proceedings, Conference paper (text) A Jain, Nicolai Marquardt , A Taylor Near-Future RFID 2008 Proceedings of Ethnographic Praxis in Industry Conference - EPIC. American Anthropology Association, Conference paper (text) Nicolai Marquardt , S Greenberg Distributed physical interfaces with shared phidgets 2007 TEI'07: First International Conference on Tangible and Embedded Interaction, Conference paper (text) T Gross, Nicolai Marquardt CollaborationBus: An Editor for the Easy Configuration of Ubiquitous Computing Environments 2007 Parallel, Distributed and Network-Based Processing, 2007. PDP '07. 15th EUROMICRO International Conference on, Conference paper (text) T Gross, T Egla, Nicolai Marquardt Sens-ation: A Service-Oriented Platform for the Development of Sensor-Based Infrastructures 2006 International Journal of Internet Protocol Technology (IJIPT), Journal article Temitayo Olugbade , Nicolai Marquardt , N Bianchi-Berthouze A Robotic Assisting-Therapist for Chronic Pain Rehabilitation: Mood-State Recognition N/A Poster, HRI'14 Pioneers Workshop Bielefeld, Germany Temitayo Olugbade , Nicolai Marquardt , N Bianchi-Berthouze A Robotic Assisting-Therapist for Chronic Pain Rehabilitation: Mood-State Recognition N/A Poster, HRI Pioneers Workshop 2014 at ACM Annual Conference for basic and applied human-robot interaction research J Vermeulen, K Luyten, K Coninx, Nicolai Marquardt Addressing Challenges in Crowded Proxemics-Aware Installations N/A Poster, Social NUI workshop at ACM conference on Designing Interactive Systems tajadura, M Basia, O Deroy, M Fairhurst, Nicolai Marquardt , Berthouze As light as your footsteps: altering walking sounds to change perceived body weight, emotional state and gait N/A Report Temitayo Olugbade , MS Aung, Nicolai Marquardt , Williams A CdeC, N Bianchi-Berthouze Automatic Recognition of Self-Reported Pain from Body Movement and Muscle Activation. N/A Poster, International Association for the Study of Pain Nicolai Marquardt Developer Toolkit and Utilities for Rapidly Prototyping Distributed Physical User Interfaces N/A Thesis / Dissertation R Rdle, H-C Jetter, Nicolai Marquardt , H Reiterer, Yvonne Rogers HuddleLamp: Spatially-Aware Mobile Displays for Ad-hoc Around-the-Table Collaboration N/A Poster, ITS 2014 - Extended Abstracts of the 2014 ACM International Conference on Interactive Tabletops and Surfaces. ACM. 435-438 Nicolai Marquardt Proxemic interactions in ubiquitous computing ecologies N/A Poster, Doctoral Consortium. Proceedings of the International Conference on Human Factors in Computing Systems, CHI 2011, Extended Abstracts Volume, Vancouver, BC, Canada, May 7-12, 2011. 1033-1036 Nicolai Marquardt Proxemic Interactions in Ubiquitous Computing Ecologies N/A Thesis / Dissertation Nicolai Marquardt , A Taylor RFID Reader Detector and Tilt-Sensitive RFID Tags N/A Poster, In DIY for CHI: Methods, Communities, and Values of Reuse and Customization. (Workshop held at the ACM CHI 2009 Conference, Boston, MA), (Buechley, L., Paulos, E., Rosner, D., Williams, A., Ed.) Youngjun Cho , SJ Julier, Nicolai Marquardt , N Bianchi-Berthouze Robust respiration tracking in high-dynamic range scenes using mobile thermal imaging N/A Journal article Nicolai Marquardt , JE Young, E Sharlin, S Greenberg Situated messages for asynchronous human-robot interaction N/A Poster, Adjunct Proc. Human Robot Interaction (Late Breaking Abstracts) - HRI'09. (San Diego, CA), 301-302 Nicolai Marquardt , MA Nacenta, JE Young, MST Carpendale, S Greenberg, E Sharlin The Haptic Tabletop Puck: the video N/A Poster, Extended Abstracts of the ACM International Conference on Interactive Tabletops and Surfaces, ITS 2009, Banff / Calgary, Alberta, Canada Nicolai Marquardt , AS Taylor, N Villar, S Greenberg Visible and controllable RFID tags N/A Poster, Extended Abstracts of Conference on Human Factors in Computing Systems. 3057-3062 Parent Departments University College London UCL Computer Science UCL Division of Psychology and Language Sciences Collaborations ICRI UCL Institute of Digital Health Global Disability Innovation Hub Connect with us About UCLIC Meet UCLIC people UCL Interaction Centre - University College London, 2nd floor 66-72 Gower Street, London, WC1E 6BT Tel: +44 (0) 20 3108 7050 2001-2019 UCLIC Disclaimer Freedom of Information Accessibility Privacy Cookies Contact Us Intranet Top diff --git a/src/data/compiled_bios/1064.txt b/src/data/compiled_bios/1064.txt new file mode 100644 index 0000000000..3b5ca9a73a --- /dev/null +++ b/src/data/compiled_bios/1064.txt @@ -0,0 +1 @@ + Close UCLIC - UCL Interaction Centre Home Home People Academics Administration Researchers PhD students Visitors Former UCLICers Study Prospective Research Students Induction Week Prospective Taught Students Studying HCI Part-Time Study Apply Now Graduate Destinations Student views FAQ New Students Current Research Students Current Taught Students Distinction Projects UCLIC Alumni Research Affective Computing Health and Wellbeing Collaboration & Communication Interactions in the Wild Designing Future Interfaces Physical Computing Educational Technologies Persuasive Technologies AI and HCI Assistive and Enabling Technology Publications Books About us Collaborate with us Research Collaborations Teaching Collaborations UCLIC's History News, Events, Seminars News Events Seminars Jobs Home People Academics Administration Researchers PhD students Visitors Former UCLICers Study Research Publications About us News, Events, Seminars Tweets by uclic Home People Paul Marshall Paul Marshall Honorary Senior Lecturer paul.marshall@ucl.ac.uk +44 (0)20 3108 7066 (x57066) Room: 2.09 UCLIC, University College London 66 - 72 Gower Street London, WC1E 6EA United Kingdom Google scholar page Paul Marshall is a senior lecturer in interaction design. His research interests centre on the design and evaluation of technologies that extend and augment individual human capabilities in the wild. This has included work on physical interaction and tangible interfaces; on technologies for face-to-face collaboration; on the design of technologies to fit specific physical contexts; and on extended cognition and perception. A recent focus has been on how communities and individuals use data for better understanding or wellbeing. Brief biography 2010 - 2011, Research Fellow, University of Warwick Working on participation in healthcare environment engineering ( PHEE ) project. 2006 - 2010, Research Fellow, Pervasive Interaction Lab , The Open University I worked with Yvonne Rogers on a number of ubicomp projects, including design and evaluation of ambient installations, extended perceptual systems, situated displays, and multi-user tabletop displays. 2008 DPhil, University of Sussex Work on tangible interfaces and learning as part of the Equator Project 2000 BSc (hons.) Psychology, University of Edinburgh Research Publications Authors Title Year Publication Amid Ayobi , Tobias Sonne , Paul Marshall , Anna Cox Flexible and Mindful Self-Tracking: Design Implications from Paper Bullet Journals 2018 Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI '18), Conference paper (text), Montral, Canada M Pateman, Danny Harrison , Paul Marshall , Marta Cecchinato The Role of Aesthetics and Design: Wearables in Situ 2018 CHI'18 Extended Abstracts, Conference paper (text), Montreal, Canada L Angelini, Z Lechelt, Eva Hornecker , Paul Marshall , Can Liu , M Brereton, A Soro, N Couture, Khaled O Abou, E Mugellini Internet of Tangible Things: Workshop on Tangible Interaction with the Internet of Things 2018 2018 CHI Conference on Human Factors in Computing Systems, Conference paper (text), Montreal, QC, Canada S Duffy, S Price, G Volpe, Paul Marshall , N Bianchi-Berthouze, G Cappagli, L Cuturi, N Balzarotti, D Trainor, M Gori1 WeDRAW: using multisensory serious games to explore concepts in primary mathematics 2017 ICTMT 13, Conference paper (text), Lyon, France Tobias Sonne , T Merritt, Paul Marshall , J Lomholt, J Mller, K Grnbk Calming Children When Drawing Blood Using Breath-based Biofeedback 2017 Designing Interactive Systems (DIS) 2017, Conference paper (text), Edinburgh C Elsden, Aisling Ann O'Kane , Paul Marshall , A Durrant, R Fleck, J Rooksby, D Lupton Quantified data & social relationships 2017 Conference on Human Factors in Computing Systems - Proceedings, Conference paper (text) Duncan Brumby , Ann Blandford , Anna Cox , Sandy Gould , Paul Marshall Understanding people: A course on qualitative and quantitative HCI research methods 2017 Conference on Human Factors in Computing Systems - Proceedings, Conference paper (text) Mara Balestrini , Yvonne Rogers , C Hassan, J Creus, M King, Paul Marshall A City in Common: A Framework to Orchestrate Large-scale Citizen Engagement around Urban Issues 2017 CHI 2017, Conference paper (text), Denver, USA Amid Ayobi , Paul Marshall , Anna Cox , Y Chen Quantifying the Body and Caring for the Mind: Self-Tracking in Multiple Sclerosis 2017 CHI 2017, Conference paper (text), Denver, CO, USA A Xamb, Eva Hornecker , Paul Marshall , S Jord, C Dobbyn, R Laney Exploring social interaction with a tangible music interface 2017 Interacting with Computers, Journal article J Mackrill, Paul Marshall , SR Payne, E Dimitrokali, R Cain Using a bespoke situated digital kiosk to encourage user participation in healthcare environment design 2017 Applied Ergonomics: human factors in technology and society, Journal article Danny Harrison , Paul Marshall , Nadia Berthouze A review of physical-activity tracking technologies and how to assess their effectiveness 2017 Working/Discussion Paper Tobias Sonne , Paul Marshall , C Obel, PH Thomsen, K Grnbk An assistive technology design framework for ADHD 2016 Proceedings of the 28th Australian Computer-Human Interaction Conference, OzCHI 2016, Conference paper (text) Britta Schulte , Paul Marshall , Anna Cox Homes for life: A design fiction probe 2016 ACM International Conference Proceeding Series, Conference paper (text) Tobias Sonne , Paul Marshall , J Mller, C Obel, K Grnbk A follow-up study of a successful assistive technology for children with ADHD and their families 2016 Proceedings of the The 15th International Conference on Interaction Design and Children, Conference paper (text), Manchester, United Kingdom E Temir, Aisling Ann O'Kane , Paul Marshall , Ann Blandford Running: A Flexible Situated Study 2016 CHI'16 CHI Conference on Human Factors in Computing Systems, Conference paper (text), San Jose, USA Tobias Sonne , J Mller, Paul Marshall , C Obel, K Grnbk Changing Family Practices with Assistive Technology: MOBERO Improves Morning and Bedtime Routines for Children with ADHD 2016 CHI 2016, Conference paper (text), San Jose Ian Renfree , Danny Harrison , Paul Marshall , Katarzyna Stawarz , Anna Cox Dont Kick the Habit: The Role of Dependency in Habit Formation Apps 2016 Proceedings of the 34th Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems, Conference paper (text), San Jose, CA, USA Amid Ayobi , Paul Marshall , Anna Cox Reflections on 5 Years of Personal Informatics: Rising Concerns and Emerging Directions 2016 CHI'16, Conference paper (text), San Jose, CA, USA Amid Ayobi , Paul Marshall , Anna Cox Reflections on 5 Years of Personal Informatics: Rising Concerns and Emerging Directions 2016 CHI'16, Conference proceeding, San Jose, CA, USA Duncan Brumby , Ann Blandford , Anna Cox , Sandy Gould , Paul Marshall Research Methods for HCI: Understanding People Using Interactive Technologies 2016 Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems, Journal article, New York, USA M traunmueller, L Capra, Paul Marshall ...when youre a Stranger": Evaluating Safety Perceptions of (un)familiar Urban Places 2016 2nd International Conference on IoT in Urban Space, Conference paper (text) Mara Balestrini , Paul Marshall , Yvonne Rogers , Jon Bird Jokebox: Coordinating Shared Encounters in Public Spaces 2016 CSCW '16, Conference paper (text), San Francisco Duncan Brumby , Ann Blandford , Anna Cox , Sandy Gould , Paul Marshall Research Methods for HCI: Understanding People Using Interactive Technologies. 2016 CHI Extended Abstracts, Conference proceeding M Traunmueller, Paul Marshall , L Capra Crowdsourcing Safety Perceptions of People: Opportunities and Limitations 2015 7th International Conference on Social Informatics (SocInfo), Conference paper (text), Beijing, PEOPLES R CHINA Mara Balestrini , T Diez, Paul Marshall , A Gluhak, Yvonne Rogers IoT Community Technologies: Leaving Users to Their Own Devices or Orchestration of Engagement? 2015 EAI Endorsed Transactions on Internet of Things, Journal article Danny Harrison , Paul Marshall , N Bianchi-Berthouze, Jon Bird Activity Tracking: Barriers, Workarounds and Customisation 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp), Conference paper (text), Osaka, JAPAN Mara Balestrini , Yvonne Rogers , Paul Marshall Civically Engaged HCI: Tensions Between Novelty and Social Impact 2015 British HCI Conference, Conference paper (text), Lincoln, ENGLAND N Pantidi, M Perry, J Ferreira, Paul Marshall , Mara Balestrini , J McCarthy Connected Sustainability: Connecting sustainability-driven, grab-roots communities through technology 2015 ACM International Conference Proceeding Series, Conference paper (text) NS Dalton, Emily Collins , Paul Marshall Display Blindness? Looking Again at the Visibility of Situated Displays using Eye Tracking 2015 33rd Annual CHI Conference on Human Factors in Computing Systems (CHI), Conference paper (text), Seoul, SOUTH KOREA E Therias, Jon Bird , Paul Marshall Mas Tecnologia, Mas Cambio? Investigating an Educational Technology Project in Rural Peru 2015 33rd Annual CHI Conference on Human Factors in Computing Systems (CHI), Conference paper (text), Seoul, SOUTH KOREA Sarah Gallacher , J O'Connor, Jon Bird , Yvonne Rogers , L Capra, Danny Harrison , Paul Marshall Mood Squeezer: Lightening up the Workplace through Playful and Lightweight Interactions 2015 ACM, Conference paper (text) NS Dalton, RC Dalton, Paul Marshall , I Peverett, S Clinch Three dimensional isovists for the study of public displays 2015 SSS 2015 - 10th International Space Syntax Symposium, Conference paper (text) Mara Balestrini , Paul Marshall , T Diez Beyond boundaries: the home as city infrastructure for smart citizens 2014 UbiComp '14 Adjunct Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication, Conference paper (text) S Ganesh, Paul Marshall , Yvonne Rogers , K O'Hara FoodWorks: tackling fussy eating by digitally augmenting children's meals 2014 NordiCHI 2014, Conference paper (text), Helsinki Danny Harrison , Paul Marshall , N Bianchi-Berthouze, Jon Bird Tracking physical activity: problems related to running longitudinal studies with commercial devices 2014 Ubicomp '14, Conference paper (text), Seattle Mara Balestrini , Jon Bird , Paul Marshall , Yvonne Rogers , A Zaro Understanding sustained community engagement: A case study in heritage preservation in rural Argentina 2014 CHI '14 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Conference paper (text) Danny Harrison , Jon Bird , Paul Marshall , Nadia Berthouze Looking for bright spots: a bottom-up approach to encouraging urban exercise 2013 Habits in HCI: 1st Workshop on Habits in Human-Computer Interaction (hosted as part of BCS HCI 2013), Conference paper (text), Uxbridge, UK Danny Harrison , Jon Bird , Paul Marshall , Nadia Berthouze Looking for bright spots: a bottom-up approach to encouraging urban exercise 2013 British HCI 2013, Conference proceeding, Uxbridge, UK Paul Marshall , Eva Hornecker Theories of embodiment in HCI 2013 Chapter M Kaltenbrunner, D Kirk, Paul Marshall Welcome to the TEI'13 Proceedings 2013 TEI 2013 - Proceedings of the 7th International Conference on Tangible, Embedded and Embodied Interaction, Conference paper (text) Paul Marshall , A Antle, EVD Hoven, Yvonne Rogers Introduction to the special issue on the theory and practice of embodied interaction in HCI and interaction design 2013 ACM TRANSACTIONS ON COMPUTER-HUMAN INTERACTION, Journal article Yvonne Rogers , N Yuill, Paul Marshall Contrasting lab-based and in-the-wild studies for evaluating multi-user technologies 2013 Chapter S Price, Paul Marshall Designing for learning with tangible technologies 2013 Chapter I Akpan, Paul Marshall , Jon Bird , Danny Harrison Exploring the Effects of Space and Place on Engagement with an Interactive Installation 2013 CHI '13 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Conference paper (text) N Dalton, Paul Marshall , R Dalton Extending architectural theories of space syntax to understand the effect of environment on the salience of situated displays 2013 PerDis '13 Proceedings of the 2nd ACM International Symposium on Pervasive Displays, Conference paper (text), ACM Jon Bird , D Fozzati, Danny Harrison , Paul Marshall Healthy shopping: a longitudinal study of a mobile app to encourage a balanced diet. 2013 UbiComp (Adjunct Publication), Conference paper (text) A Xamb, Eva Hornecker , Paul Marshall , S Jord, C Dobbyn, C Laney Lets Jam the Reactable: Peer Learning during Musical Improvisation with a Tabletop Tangible Interface 2013 ACM Transactions on Computer - Human Interaction, Journal article Jon Bird , Danny Harrison , Paul Marshall The Challenge of Maintaining Interest in a Large-Scale Public Floor Display 2013 Proceedings of Workshop on Experiencing Interactivity in Public Spaces (EIPS), CHI'13, Conference paper (text) NS Dalton, KE Green, Paul Marshall , RC Dalton, C Hlscher, A Mathew, G Kortuem, T Varoudis Ar-CHI-Tecture: architecture and interaction. 2012 CHI Extended Abstracts, Conference paper (text) B Zaman, VV Abeele, P Markopoulos, Paul Marshall Editorial: The evolving field of tangible interaction for children: the challenge of empirical validation 2012 Personal and Ubiquitous Computing, Journal article J Rick, Paul Marshall , N Yuill Beyond one-size-fits-all: how interactive tabletops support collaborative learning. 2011 Proceedings of the 10th International Conference on Interaction Design and Children (IDC 2011)., Conference paper (text) T Dring, D Kern, Paul Marshall , M Pfeiffer, Johannes Schning , V Gruhn, A Schmidt Gestural interaction on the steering wheel: reducing the visual demand 2011 CHI '11 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Conference paper (text) Paul Marshall , R Cain, SR Payne Situated crowdsourcing: a pragmatic approach to encouraging participation in healthcare design 2011 Pervasive Computing Technologies for Healthcare (PervasiveHealth), 2011, Journal article A Olsen, A Schmidt, Paul Marshall , V Sundstedt Using eye tracking for interaction 2011 CHI11 Extended Abstracts on Human Factors in Computing Systems, Conference paper (text), ACM Paul Marshall , R Morris, Yvonne Rogers , Stefan Kreitmayer , M Davies Rethinking 'multi-user': an in-the-wild study of how groups approach a walk-up-and-use tabletop interface. 2011 CHI '11 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Conference paper (text) AN Antle, Paul Marshall , den Hoven E van Workshop on embodied interaction: theory and practice in HCI 2011 CHI EA '11 CHI '11 Extended Abstracts on Human Factors in Computing Systems, Conference paper (text) Paul Marshall , Yvonne Rogers , N Pantidi Using F-formations to analyse spatial patterns of interaction in physical environments 2011 CSCW '11 Proceedings of the ACM 2011 conference on Computer supported cooperative work, Conference paper (text) Yvonne Rogers , W Hazlewood, Paul Marshall , NS Dalton, S Hertrich Ambient influence: can twinkly lights lure and abstract representations trigger behavioral change? 2010 Ubicomp '10 Proceedings of the 12th ACM international conference on Ubiquitous computing, Conference paper (text), Copenhagen, Denmark W Hazlewood, NS Dalton, Paul Marshall , Yvonne Rogers , S Hertrich Bricolage and consultation: a case study to inform the development of large-scale prototypes for HCI research 2010 Designing Interactive Systems (DIS 10), Conference paper (text), Aarhus, Denmark WR Hazlewood, NS Dalton, Paul Marshall , Yvonne Rogers , S Hertrich Bricolage and consultation: addressing new design challenges when building large-scale installations. 2010 DIS '10 Proceedings of the 8th ACM Conference on Designing Interactive Systems, Conference paper (text) Jon Bird , Paul Marshall Empirically Investigating the Distinction between Phenomenally Present and Phenomenally Transparent Tools 2010 Workshop on Embodied Interaction: Theory and Practice in HCI (CHI 2011), Conference paper (text) D Kern, Paul Marshall , A Schmidt Gazemarks - gaze-based visual placeholders to ease attention switching 2010 CHI '10 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Conference paper (text) NS Dalton, Paul Marshall , Dalton R Conroy Measuring environments for public displays: a Space Syntax approach. 2010 Extended Abstracts of CHI 2010 (Work in Progress paper)., Conference paper (text) NS Dalton, Paul Marshall , Dalton R Conroy Measuring environments for public displays: a Space Syntax approach 2010 CHI EA '10 CHI '10 Extended Abstracts on Human Factors in Computing Systems, Conference paper (text) Paul Marshall , P Cheng, R Luckin Tangibles in the balance: a discovery learning task with physical or graphical materials. 2010 TEI '10 Proceedings of the fourth international conference on Tangible, embedded, and embodied interaction, Conference paper (text) J Rick, A Harris, Paul Marshall , R Fleck, N Yuill, Yvonne Rogers Children designing together on a multi-touch tabletop: An analysis of spatial orientation and user interactions 2009 Proceedings of IDC 2009 - The 8th International Conference on Interaction Design and Children, Conference paper (text) D England, P Romero, Eva Hornecker , P Fergus, C Roast, Paul Marshall Whole body interaction 2009 Conference on Human Factors in Computing Systems - Proceedings, Conference paper (text) R Fleck, Yvonne Rogers , N Yuill, Paul Marshall , A Carr, J Rick, V Bonnett Actions speak loudly with words: unpacking collaboration around the tabletop 2009 ITS '09, Conference paper (text) R Fleck, Yvonne Rogers , N Yuill, Paul Marshall , A Carr, J Rick, V Bonnett Actions speak loudly with words: unpacking collaboration around the table 2009 Interactive Tabletops and Surfaces (ITS 09), Conference paper (text), Banff, Canada A Harris, J Rick, V Bonnett, N Yuill, R Fleck, Paul Marshall , Yvonne Rogers Around the table: are multiple-touch surfaces better than single-touch for childrens collaborative interactions? 2009 Computer-Supported Collaborative Learning (CSCL 2009), Conference paper (text), Rhodes A Harris, J Rick, V Bonnett, N Yuill, R Fleck, Paul Marshall , Yvonne Rogers Around the Table: Are multiple-touch surfaces better than single-touch for children's collaborative interactions? 2009 CSCL'09 Proceedings of the 9th international conference on Computer supported collaborative learning - Volume 1, Conference paper (text) AN Antle, Y Fernaeus, Paul Marshall Children and embodied interaction: seeking common ground 2009 Proceedings of the 8th International Conference on Interaction Design and Children, Conference paper (text) D Kern, Paul Marshall , Eva Hornecker , Yvonne Rogers , A Schmidt Enhancing Navigation Information with Tactile Output Embedded into the Steering Wheel. 2009 Pervasive 2009, Conference paper (text) D Kern, Paul Marshall , Eva Hornecker , Yvonne Rogers , A Schmidt Enhancing navigation information with tactile output embedded into the steering wheel. 2009 Pervasive Computing 2009, Conference paper (text), Nara, Japan Yvonne Rogers , Y Lim, W Hazlewood, Paul Marshall Equal opportunities: do shareable interfaces promote more group participation than single user displays? 2009 Human-Computer Interaction, Journal article Jon Bird , Paul Marshall , Yvonne Rogers Low-Fi Skin Vision: a case study in rapid prototyping a sensory substitution system 2009 British HCI Group Annual Conference on People and Computers (BCS HCI, 2009), Conference paper (text), Cambridge, UK Paul Marshall , R Fleck, A Harris, J Rick, Eva Hornecker , Yvonne Rogers , N Yuill, NS Dalton Fighting for control: children's embodied interactions when using physical and digital representations 2009 CHI '09 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Conference paper (text) A Antle, C Kynigos, L Lyons, Paul Marshall , T Moher, M Roussou Manifesting embodiment: designers variations on a theme 2009 Proceedings of the 9th international conference on Computer supported collaborative learning-Volume 2, Conference paper (text), International Society of the Learning Sciences S Holland, Paul Marshall , Jon Bird , Yvonne Rogers Prototyping Whole Body Navigation of Harmony Space 2009 Workshop on Whole Body Interaction, CHI 2009, Conference paper (text), Boston B Zaman, Abeele V Vanden, P Markopoulos, Paul Marshall Tangibles for children: the challenges 2009 CHI09 Extended Abstracts on Human Factors in Computing Systems, Conference paper (text), ACM S Holland, Paul Marshall , Jon Bird , SN Dalton, R Morris, N Pantidi, Yvonne Rogers , A Clark Running up Blueberry Hill: prototyping whole body interaction in Harmony Space 2009 TEI '09 Proceedings of the 3rd International Conference on Tangible and Embedded Interaction, Conference paper (text) Jon Bird , Paul Marshall What have artists ever done for UbiComp? 2009 Ubiquitous Computing at a Crossroads: Art, Science, Politics and Design., Conference paper (text) R Morris, Paul Marshall , Yvonne Rogers Analysing Fluid Interaction across Multiple Displays. 2008 Workshop on designing multi-touch interaction techniques for coupled public and private displays (PPD 08) at AVI 2008, Conference paper (text), Naples, Italy Eva Hornecker , Paul Marshall , N Dalton, Yvonne Rogers Collaboration and interference: awareness with mice or touch input 2008 CSCW '08 Proceedings of the 2008 ACM conference on Computer supported cooperative work, Conference paper (text) Jon Bird , S Holland, Paul Marshall , Yvonne Rogers , A Clark Feel the Force: Using Tactile Technologies to Investigate the Extended Mind. 2008 Devices that Alter Perception Workshop (DAP08), Conference paper (text) Paul Marshall , Eva Hornecker , Yvonne Rogers From entry to access: how shareability comes about 2008 DPPI '07 Proceedings of the 2007 conference on Designing pleasurable products and interfaces, Conference paper (text) Paul Marshall , Eva Hornecker , R Morris, N Dalton, Yvonne Rogers When the fingers do the talking: a study of group participation with varying constraints to a tabletop interface 2008 Proceedings of IEEE Tabletops and Interactive Surfaces (Tabletop 08), Conference paper (text) Paul Marshall , Eva Hornecker , R Morris, NS Dalton, Yvonne Rogers When the fingers do the talking: A study of group participation with varying constraints to a tabletop interface. 2008 Tabletop, Conference paper (text) Paul Marshall , Yvonne Rogers , Eva Hornecker Are Tangible Interfaces Really Any Better Than Other Kinds of Interfaces? 2007 Tangible Interfaces in Context and Theory, CHI'07, Conference paper (text), San Jose Paul Marshall Do tangible interfaces enhance learning? 2007 TEI '07 Proceedings of the 1st international conference on Tangible and embedded interaction, Conference paper (text) G Fitzpatrick, Paul Marshall , A Phillips CVS integration with notification and chat: lightweight team support 2006 Report G Fitzpatrick, Paul Marshall , A Phillips CVS integration with notification and chat: lightweight software team collaboration 2006 CSCW '06: Proceedings of the 2006 20th anniversary conference on computer supported cooperative work, Conference paper (text), New York, US Paul Marshall Tangibles in the balance: a comparison of physical and screen versions of the balance beam task 2005 Report J Halloran, G Fitzpatrick, Yvonne Rogers , Paul Marshall Does it matter if you don't know who's talking? Multiplayer gaming with Voiceover IP 2004 ACM CHI Conference on Human Factors in Computing Systems (CHI 2004), Conference paper (text) Paul Marshall , Yvonne Rogers , M Scaife PUPPET: Playing and learning in a virtual world 2004 International Journal of Continuing Engineering Education and Life-Long Learning, Journal article Paul Marshall , S Price, Yvonne Rogers Conceptualising tangibles to support learning 2003 Conference paper (text), New York S Price, Paul Marshall Exploiting Physicality: linking action and effect 2003 Physical Interaction (PI03) Workshop on Real World User Interfaces, Conference paper (text) Paul Marshall , Yvonne Rogers , M Scaife PUPPET: a virtual environment for children to act and direct interactive narratives 2002 Proceedings of the 2nd international workshop on narrative and interactive learning environments, Conference paper (text) Paul Marshall , Yvonne Rogers , M Scaife The value of a virtual environment for learning about narrative 2002 ACM SIGGROUP Bulletin, Journal article Paul Marshall Physicality and Learning: Searching for the Effects ofTangibility in Scientific Domains N/A Thesis / Dissertation Parent Departments University College London UCL Computer Science UCL Division of Psychology and Language Sciences Collaborations ICRI UCL Institute of Digital Health Global Disability Innovation Hub Connect with us About UCLIC Meet UCLIC people UCL Interaction Centre - University College London, 2nd floor 66-72 Gower Street, London, WC1E 6BT Tel: +44 (0) 20 3108 7050 2001-2019 UCLIC Disclaimer Freedom of Information Accessibility Privacy Cookies Contact Us Intranet Top diff --git a/src/data/compiled_bios/1065.txt b/src/data/compiled_bios/1065.txt new file mode 100644 index 0000000000..b472188661 --- /dev/null +++ b/src/data/compiled_bios/1065.txt @@ -0,0 +1 @@ + Sergey Mechtaev Role Lecturer in Software Engineering Office 5.02 Office Location University College London Dept. of Computer Science Gower Street London WC1E 6BT United Kingdom Tel +44 (0)20 7679 TBA (Direct Dial) Internal TBA Fax +44 (0)20 7387 1397 Email S.Mechtaev (at) cs.ucl.ac.uk Postal Address University College London Dept. of Computer Science Gower Street London WC1E 6BT United Kingdom Group Software Systems Engineering Personal Pages (None) diff --git a/src/data/compiled_bios/1066.txt b/src/data/compiled_bios/1066.txt new file mode 100644 index 0000000000..5910269dac --- /dev/null +++ b/src/data/compiled_bios/1066.txt @@ -0,0 +1 @@ + Sarah Meiklejohn About Me Bio I am a Reader (Associate Professor) in Cryptography and Security at UCL, in the Computer Science department. I am affiliated with the Information Security Group , and am also a member of the Open Music Initiative and the Initiative for Cryptocurrencies and Contracts (IC3) . Before joining UCL, I received a PhD in Computer Science from the University of California, San Diego under the joint supervision of Mihir Bellare and Stefan Savage . During my PhD, I spent the summers of 2011 and 2013 at MSR Redmond, working in the cryptography group with Melissa Chase . I obtained an Sc.M. in Computer Science from Brown University under the guidance of Anna Lysyanskaya in 2009, and an Sc.B. in Mathematics from Brown in 2008. Contact s.meiklejohn [at] ucl [dot] ac [dot] uk MPEB 6.06 Department of Computer Science University College London Gower Street London WC1E 6BT Research Projects TITANIUM : Tools for the Investigation of Transactions in Underground Markets (May 2017 ) Glass Houses : Transparency and Privacy in Information Economies (November 2016 ) Supervision I am fortunate to work with the following people: Mustafa Al-Bassam Sarah Azouvi Shehar Bano (postdoc) Sergi Delgado Segura (postdoc) George Kappos Mary Maller Kit Smeets Haaroon Yousaf And to have worked with the following people in the past: Patrick McCorry (postdoc, now faculty at Kings College London) Publications (Click year to show/hide) [C = Conference] [J = Journal] [W = Workshop] [M = Miscellaneous] 2019 [C : FC] Why is a Ravencoin Like a TokenDesk? An Exploration of Code Diversity in the Cryptocurrency Landscape ( short version ) Pierre Reibel, Haaroon Yousaf, and Sarah Meiklejohn Financial Cryptography and Data Security [C : NDSS] Coconut: Threshold Issuance Selective Disclosure Credentials with Applications to Distributed Ledgers Alberto Sonnino, Mustafa Al-Bassam, Shehar Bano, Sarah Meiklejohn, and George Danezis Network and Distributed System Security Symposium (The source code for this project can be found here .) 2018 [W : CBT] Contour: A Practical System for Binary Transparency Mustafa Al-Bassam and Sarah Meiklejohn International Workshop on Cryptocurrencies and Blockchain Technology (The source code for this project can be found here .) [C : Crypto] Updatable and Universal Common Reference Strings with Applications to zk-SNARKs Jens Groth, Markulf Kohlweiss, Mary Maller, Sarah Meiklejohn, and Ian Miers Crypto [C : USENIX Security] An Empirical Analysis of Anonymity in Zcash George Kappos, Haaroon Yousaf, Mary Maller, and Sarah Meiklejohn USENIX Security Symposium (The source code for this project can be found here .) [J : S&P] Top Ten Obstacles along Distributed Ledgers' Path to Adoption ( slides ) Sarah Meiklejohn IEEE Security & Privacy Magazine, July/August 2018 [J : PETS] Mbius: Trustless Tumbling for Transaction Privacy Sarah Meiklejohn and Rebekah Mercer Proceedings on Privacy Enhancing Technologies (The source code for this project can be found here .) [W : BITCOIN] Egalitarian Society or Benevolent Dictatorship? The State of Cryptocurrency Governance Sarah Azouvi, Mary Maller, and Sarah Meiklejohn The Fifth Workshop on Bitcoin and Blockchain Research [W : BITCOIN] Smart Contracts for Bribing Miners Patrick McCorry, Alexander Hicks, and Sarah Meiklejohn The Fifth Workshop on Bitcoin and Blockchain Research (The source code for this project can be found here .) 2017 [W : CBT] Who Am I? Secure Identity Registration on Distributed Ledgers Sarah Azouvi, Mustafa Al-Bassam, and Sarah Meiklejohn International Workshop on Cryptocurrencies and Blockchain Technology 2016 [C : Asiacrypt] Dj Q All Over Again: Tighter and Broader Reductions of q-Type Assumptions Melissa Chase, Mary Maller, and Sarah Meiklejohn Asiacrypt [C : CCS] Transparency Overlays and Applications ( slides ) Melissa Chase and Sarah Meiklejohn ACM Conference on Computer and Communications Security [J : CACM] A Fistful of Bitcoins: Characterizing Payments Among Men with No Names Sarah Meiklejohn, Marjori Pomarole, Grant Jordan, Kirill Levchenko, Damon McCoy, Geoffrey M. Voelker, and Stefan Savage Communications of the Association for Computing Machinery [C : NDSS] Centrally Banked Cryptocurrencies ( slides ) George Danezis and Sarah Meiklejohn Network and Distributed System Security Symposium (This work was featured in MIT Technology Review .) (The source code for this project can be found here .) 2015 [C : PKC] A Profitable Sub-Prime Loan: Obtaining the Advantages of Composite Order in Prime-Order Bilinear Groups Allison Lewko and Sarah Meiklejohn IACR International Conference on Practice and Theory of Public-Key Cryptography [W : BITCOIN] Privacy-Enhancing Overlays in Bitcoin ( slides ) Sarah Meiklejohn and Claudio Orlandi The Second Workshop on Bitcoin Research 2014 [C : CCS] Algebraic MACs and Keyed-Verification Anonymous Credentials Melissa Chase, Sarah Meiklejohn, and Greg Zaverucha ACM Conference on Computer and Communications Security [J : TCAD] Leveraging Gate-Level Properties to Identify Hardware Timing Channels Jason Oberg, Sarah Meiklejohn, Timothy Sherwood, and Ryan Kastner IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, September 2014 [C : CSF] Malleable Signatures: New Definitions and Delegatable Anonymous Credentials Melissa Chase, Markulf Kohlweiss, Anna Lysyanskaya, and Sarah Meiklejohn Computer Science Foundations Symposium [C : Eurocrypt] Key-Versatile Signatures and Applications: RKA, KDM, and Joint Enc/Sig Mihir Bellare, Sarah Meiklejohn, and Susan Thomson Eurocrypt [C : Eurocrypt] Dj Q: Using Dual Systems to Revisit q-Type Assumptions ( slides ) Melissa Chase and Sarah Meiklejohn Eurocrypt [M : Thesis] Flexible Models for Secure Systems ( slides ) UCSD Dissertation, April 2014 (This won UCSD's 2015 Chancellor's Dissertation Medal (see here and here ). Thanks!) [C : NDSS] Botcoin: Monetizing Stolen Cycles Danny Yuxing Huang, Hitesh Dharmdasani, Sarah Meiklejohn, Vacha Dave, Chris Grier, Damon McCoy, Stefan Savage, Nicholas Weaver, Alex C. Snoeren, and Kirill Levchenko Network and Distributed System Security Symposium [C : CT-RSA] Rethinking Verifiably Encrypted Signatures: A Gap in Functionality and Potential Solutions ( slides ) Theresa Calderon, Sarah Meiklejohn, Hovav Shacham, and Brent Waters Cryptographer's Track at the RSA Conference 2013 [J : login] A Fistful of Bitcoins: Characterizing Payments Among Men with No Names Sarah Meiklejohn, Marjori Pomarole, Grant Jordan, Kirill Levchenko, Damon McCoy, Geoffrey M. Voelker, and Stefan Savage USENIX ;login:, December 2013 (Se puede leer este artculo en espaol aqu .) [C : IMC] A Fistful of Bitcoins: Characterizing Payments Among Men with No Names ( slides ) Sarah Meiklejohn, Marjori Pomarole, Grant Jordan, Kirill Levchenko, Damon McCoy, Geoffrey M. Voelker, and Stefan Savage Internet Measurement Conference (This work was featured in The New York Times , Wired , The Economist , Forbes , The Washington Post , and more .) Business Week Coindesk ( 2 ) The Economist ( 2 ) Forbes ( 2 , 3 ) Foreign Policy ( 2 ) KPBS ( 2 ) Krebs on Security ( 2 ) MIT Technology Review ( 2 ) The New York Times PC World Slashdot ( 2 ) Vice The Washington Post Wired ( 2 , 3 , 4 ) (One of two IMC papers fast-tracked for Transactions on Networking.) [C : DATE] A Practical Testing Framework for Isolating Hardware Timing Channels Jason Oberg, Sarah Meiklejohn, Timothy Sherwood, and Ryan Kastner Design, Automation, and Test in Europe [C : TCC] Succinct Malleable NIZKs and an Application to Compact Shuffles ( slides ) Melissa Chase, Markulf Kohlweiss, Anna Lysyanskaya, and Sarah Meiklejohn Theory of Cryptography Conference [C : PKC] Verifiable Elections That Scale for Free ( slides ) Melissa Chase, Markulf Kohlweiss, Anna Lysyanskaya, and Sarah Meiklejohn International Conference on Practice and Theory of Public-Key Cryptography 2012 [C : Eurocrypt] Malleable Proof Systems and Applications ( slides ) Melissa Chase, Markulf Kohlweiss, Anna Lysyanskaya, and Sarah Meiklejohn Eurocrypt 2011 [C : USENIX Security] The Phantom Tollbooth: Privacy-Preserving Electronic Toll Collection in the Presence of Driver Collusion ( slides ) Sarah Meiklejohn, Keaton Mowery, Stephen Checkoway, and Hovav Shacham USENIX Security Symposium [W : WOOT] Heat of the Moment: Characterizing the Efficacy of Thermal Camera-Based Attacks ( slides ) Keaton Mowery, Sarah Meiklejohn, and Stefan Savage USENIX Workshop on Offensive Technologies 2010 [C : Asiacrypt] Limitations on Transformations from Composite-Order to Prime-Order Groups: The Case of Round-Optimal Blind Signatures ( slides ) Sarah Meiklejohn, Hovav Shacham, and David Mandell Freeman Asiacrypt [C : USENIX Security] ZKPDL: A Language-Based System for Efficient Zero-Knowledge Proofs and Electronic Cash ( slides ) Sarah Meiklejohn, C. Chris Erway, Alptekin Kp, Theodora Hinkle, and Anna Lysyanskaya USENIX Security Symposium (The source code for this project can be found here , and the project homepage here .) 2009 [M : Thesis] An Extension of the Groth-Sahai Proof System Brown University Masters thesis, May 2009 Teaching Spring 2015 - 2018: Introduction to Cybersecurity Autumn 2017: Programming for Crime Scientists Activities Events and schools International Workshop on Cryptocurrencies and Blockchain Technology (CBT) , 6-7 September 2018 (keynote speaker) Summer school on real-world crypto and privacy , 11-15 June 2018 (organizing committee member) Swiss Blockchain Summer School , 21-24 June 2017 (speaker) Summer school on real-world crypto and privacy , 5-9 June 2017 (speaker) IACR Summer School on Blockchain Technologies , 30 May - 2 June 2016 (co-organizer) Program (co-)chair 2018: Financial Crypto 2016: BITCOIN (Third Workshop on Bitcoin and Blockchain Research) Program committee member 2019: IEEE S&P ("Oakland") , PETS , Enigma , RWC , USENIX Security 2018: PETS , Crypto Valley , Crypto , CBT 2017: NDSS , IEEE S&P ("Oakland") , USENIX Security 2016: Eurocrypt , Financial Crypto , WEIS , eCrime , USENIX Security , NSPW , CCS 2015: Financial Crypto , BITCOIN , PKC , Crypto , USENIX Security , NSPW , CCS 2014: CT-RSA , ProvSec 2013: Pairing Photo credit: Rosa Koolhoven diff --git a/src/data/compiled_bios/1067.txt b/src/data/compiled_bios/1067.txt new file mode 100644 index 0000000000..05dcac3507 --- /dev/null +++ b/src/data/compiled_bios/1067.txt @@ -0,0 +1 @@ + Research Bio Group page Publications Service Hobbies Niloy J. Mitra Professor of Geometry Processing Virtual Env. and Computer Graphics Dept. of Computer Science University College London (UCL) Address: Dept. of Computer Science, 66-72 Gower Street, Room 5.05, London WC1E 6BT, United Kingdom. email: phone: fax: n.mitra(AT)cs.ucl.ac.uk +44 (0)20 3108 7115 (x57115) +44 (0)20 7387 1397 Curriculum Vitae (pdf) Research My current research focus includes shape analysis, data-driven geometry processing, and computational fabrication. I am especially interested in developing structure-aware representations and abstractions involving 3D geometric data to help reason from raw image, video, or scanned data. For our latest research, paper, code and data, please visit our group page . Links to my Google scholar and DBLP profiles. Biography Niloy Mitra is a Professor of Geometry Processing in the Department of Computer Science, University College London (UCL). He received his MS and PhD in Electrical Engineering from Stanford University under the guidance of Leonidas Guibas and Marc Levoy , and was a postdoctoral scholar with Helmut Pottmann at Technical University Vienna . His research interests include shape analysis, computational design and fabrication, and geometry processing. For details, please visit the SmartGeometryProcessing page. Niloy received the 2013 ACM Siggraph Significant New Researcher Award for "his outstanding work in discovery and use of structure and function in 3D objects" (UCL press release ) and the BCS Roger Needham award (BCS press release ) in 2015. He received the ERC Starting Grant on SmartGeometry in 2013. His work has twice been featured as research highlights in the Communications of the ACM, twice been selected by ACM Siggraph/Siggrraph Asia (both in 2017) for press release as research highlight. Besides research, Niloy is an active DIYer and loves reading, bouldering, and cooking. Professional Activities Keynotes: April 2018: Eurographics , Delft April 2018: Einstein Workshop (Geometry and Physics in Computer Graphics), Berlin Feb. 2018: HiVisComp , Slovakia Oct. 2017: 3DV, Qingdao Oct. 2017: Geometry Meets Deep Learning (colocated with ICCV), Venice Oct. 2017: IMADO (colocated with ICCV), Venice May 2017: SCF , MIT, Boston May 2017: SCCG, Brno Nov. 2016: Sigma ,, Marseille May 2016: TCE , Technion, Haifa Oct. 2015: VMV, Aachen Sept. 2014: Parts and Attributes (co-located with ECCV), Zurich Nov. 2013: CAD/Graphics , Hong Kong July 2013: Symposium on Geometry Processing (SGP) , Genova, Italy Mar. 2012: RIVIC workshop, Cardiff, UK Feb. 2011 (full talk): Trends in Mathematical Imaging and Surface Processing, Oberwolfach, Germany Sept. 2010: Pacific Graphics , Hangzhou, China June 2010: Curves and Surfaces , Avignon, France Sept. 2009: NORDIA in conjuction with ICCV, Kyoto, Japan Conference/course chair: 2017: Symposium on Geometry Processing (SGP) 2016: SIGGRAPH Asia course chair 2014: Advances in Architectural Geometry (AAG) Awards chair/committee: 2018: Eurographics PhD award (chair) 2018: Siggraph Outstanding Doctoral Dissertation award (member) 2017: Eurographics PhD award (chair) 2017: Siggraph Outstanding Doctoral Dissertation award (member) 2016: Eurographics PhD award (member) Papers chair: 2015: Pacific Graphics (PG) (cochaired with Jos Stam and Kun Xu) 2012: Symposium on Geometry Processing (SGP) (cochaired with Prof. Eitan Grinspun) 2011: Shape Modeling International (SMI) (cochaired with Prof. Olga Sorkine) Associate editor: since 2018: Computer Graphics Forum (CGF) since 2017: Computer Aided Geometric Design (CAGD) 2012 - 2016: ACM Transactions on Graphics (TOG) 2010 - 2012: Visual Computer 2009 - 2013: Computers & Graphics Hobbies and Interests Reading Check out what I am reading now at GoodReads . Rock climbing Some older videos available off my YouTube page. Cooking, traveling Last revised: April, 2018. diff --git a/src/data/compiled_bios/1068.txt b/src/data/compiled_bios/1068.txt new file mode 100644 index 0000000000..33238fd601 --- /dev/null +++ b/src/data/compiled_bios/1068.txt @@ -0,0 +1 @@ + Dr. Dean Mohamedally Software Systems Engineering Group UCL Home Computer Science Software Systems Engineering People Dean Mohamedally Home Teaching Research Corporate Interests HTML5 FTW Dr. Dean Mohamedally Principal Teaching Fellow for Applied Software Engineering and Industry Projects Projects Director for the UCL Industry Exchange Network (UG/CS/SSE) Software Systems Engineering Group Technology Transfer and Apps Strategy for UCL Email: D.Mohamedally (at) cs.ucl.ac.uk Department of Computer Science University College London Gower Street London, WC1E 6BT United Kingdom My office hours are Wednesdays 1pm by appointment Office: Room 4.13a, MPEB "Hello world." I am the Principal Teaching Fellow for Applied Software Engineering and Industry Projects and a member of the Software Systems Engineering group at the Department of Computer Science, University College London. I am the Inventor and Creator, and one of the Projects Directors of the UCL IXN - Industry Exchange Network ( www.ixn.org.uk ), which I co-founded with Dr Graham Roberts and Geoff Hughes in 2011. As of 2019, we now have over 900 candidates in the Department of Computer Science, 470 of which are in course modules that involve applied and industry-oriented software engineering, but we cover a lot more. Please refer to our prospectus for students on all of our courses. Our IXN programme is centred around term-time teaching with students based in our labs at UCL, with all sectors of industry clients engaging with the students on Proof of Concepts (PoC). I cover the fields of Software Engineering and Systems Integration development on the IXN, but also align interests with our other UCL CS Projects Directors . Most recently, we have been reported in the NHS England Topol Review (2019) , and we have special interest groups of the IXN, such as for the NHS and Healthcare, and also for supporting Charities and Open Source Initiatives. I am a Fellow of the Higher Education Academy and Member of the British Computing Society. I am also the Projects Director for Apps Engineering for all of UCL's faculties, and together with UCL Legal and UCL Engineering we enable students to participate on intercollegiate and internal research projects as part of their respective courses. If other faculties want to contact me about apps project requirements they can get in touch with me or my colleague, Dr Yun Fu. A role I keep close attention to is on Technology Transfer (primarily to syllabus and learning domains) . Companies and research groups are welcome to contact me with regards to new technology platforms and deployment. I am an executive member of the Institute for Digital Health, Digital Humanities and a keen supporter of our VR group. My academic speciality is in Constructionism and Problem based learning within Computer Science education. My area of interest is on software construction best practices in Software Engineering and the application of Computer Science in general education. From this, I am currently looking at how curriculum design can improve with industry-led PoC initiatives and how to raise engagement with industry requirements on varying levels of CS classes. I am also interested in school-based learning mechanisms for problem based learning, constructionist reinforcement and student-learning techniques from algorithm approaches to larger solution modelling. Key links: UCL Computer Science's Industry Exchange Network (IXN) Students Abstracts Book 2018 UCL IXN Project Requests Form for Industry Partners 2019 (*updated*) NHS England Topol Review (2019) UCL Computer Science and Microsoft UK Joint White Paper 2017 UCL Computer Science's Student Showcase Video 2017 Department of Computer Science - University College London - Gower Street - London - WC1E 6BT - +44 (0)20 7679 7214 - Copyright 1998-2011 UCL Disclaimer | Accessibility | Privacy | UCL Search | UCL-CS Help diff --git a/src/data/compiled_bios/1069.txt b/src/data/compiled_bios/1069.txt new file mode 100644 index 0000000000..89994d6e10 --- /dev/null +++ b/src/data/compiled_bios/1069.txt @@ -0,0 +1 @@ + Janaina Mourao-Miranda Role Professorial Research Associate Office Inst of Neurology Office Location University College London Dept. of Computer Science Gower Street London WC1E 6BT United Kingdom Tel +44 (0)20 7679 TBA (Direct Dial) Internal TBA Fax +44 (0)20 7387 1397 Email J.Mourao-Miranda (at) cs.ucl.ac.uk Postal Address University College London Dept. of Computer Science Gower Street London WC1E 6BT United Kingdom Group Intelligent Systems Personal Pages (None) diff --git a/src/data/compiled_bios/107.txt b/src/data/compiled_bios/107.txt new file mode 100644 index 0000000000..49efaf9276 --- /dev/null +++ b/src/data/compiled_bios/107.txt @@ -0,0 +1 @@ +Spaepen conducts research in the following areas:Colloidal systems as analog computers for the study of defects and deformation of crystals and glasses (with D. Weitz).Amorphous materials (metals, semiconductors, polymers): structure, formation, stability, mechanical properties, atomic transport (viscosity, diffusivity, structural relaxation, crystallization).Properties of interfaces: crystal/melt, amorphous/crystalline semiconductor, grain boundaries, grain growth, interface tension, interface stress, and interface stiffness.Thin films and multilayers: preparation, stability, mechanical properties.General effects of size scale on mechanical properties. diff --git a/src/data/compiled_bios/1070.txt b/src/data/compiled_bios/1070.txt new file mode 100644 index 0000000000..4b278a4615 --- /dev/null +++ b/src/data/compiled_bios/1070.txt @@ -0,0 +1 @@ + Dr Steven J. Murdoch Publications Talks Teaching Projects Benthams Gaze Contact Dr Steven J. Murdoch I am an Associate Professor and Royal Society University Research Fellow in the Information Security Research Group of the Department of Computer Science at University College London . I am also a bye-fellow of Christs College , Innovation Security Architect at the OneSpan , Cambridge, a member of the Tor Project , and a Fellow of the IET and BCS . Open positions I am always interested in recruiting talented researchers to join my team at UCL, both as PhD students and for post-doctoral positions. Interested candidates should email me their curriculum vitae and a short research proposal . Tweets for @sjmurdoch Recent publications For more details see my full list of publications or my Google Scholar page . I also write articles on information security for the UCL Information Security Group blog Benthams Gaze . Scanning the Internet for Liveness Shehar Bano , Philipp Richter , Mobin Javed , Srikanth Sundaresan , Zakir Durumeric , Steven J. Murdoch, Richard Mortier , Vern Paxson Internet-wide scanning depends on a notion of liveness: does a target IP address respond to a probe packet? However, the interpretation of such responses, or lack of them, is nuanced and depends on multiple factors, including: how we probed, how different protocols in the network stack interact, the presence of filtering policies near the target, and temporal churn in IP responsiveness. Although often neglected, these factors can significantly affect the results of active measurement studies. We develop a taxonomy of liveness which we employ to develop a method to perform concurrent IPv4 scans using ICMP, five TCP-based, and two UDP-based protocols, comprehensively capturing all responses to our probes, including negative and cross-layer responses. Leveraging our methodology, we present a systematic analysis of liveness and how it manifests in active scanning campaigns, yielding practical insights and methodological improvements for the design and the execution of active Internet measurement studies. ACM SIGCOMM Computer Communication Review , Volume 48, Issue 2, Pages 29, ACM, April 2018. Awarded IRTF Applied Networking Research Prize 2019 . [ paper | DOI 10.1145/3213232.3213234 | code | data ] Incentives in Security Protocols Alexander Hicks , Sarah Azouvi , Steven J. Murdoch Real world protocols often involve human choices that depend on incentives, including when they fail and require fail-safe or fail-deadly mechanisms. We look at three example systems (the EMV protocol, consensus in cryptocurrencies, and Tor) in this context, paying particular attention to the role that incentives play in fail-safe and fail-deadly situations. We argue that incentives should explicitly be taken into account in the design of security protocols, and discuss general challenges in doing so. International Workshop on Security Protocols , Cambridge, UK, 1921 March 2018. Published in LNCS 11286 , Springer-Verlag. [ paper | slides ] International comparison of bank fraud reimbursement: customer perceptions and contractual terms Ingolf Becker , Alice Hutchings , Ruba Abu-Salma , Ross Anderson , Nicholas Bohm, Steven J. Murdoch, M. Angela Sasse , Gianluca Stringhini The study presented in this article investigated to what extent bank customers understand the terms and conditions (T&Cs) they have signed up to. If many customers are not able to understand T&Cs and the behaviours they are expected to comply with, they risk not being compensated when their accounts are breached. An expert analysis of 30 bank contracts across 25 countries found that most contract terms were too vague for customers to infer required behaviour. In some cases the rules vary for different products, meaning the advice can be contradictory at worst. While many banks allow customers to write Personal identification numbers (PINs) down (as long as they are disguised and not kept with the card), 20% of banks categorically forbid writing PINs down, and a handful stipulate that the customer have a unique PIN for each account. We tested our findings in a survey with 151 participants in Germany, the USA and UK. They mostly agree: only 35% fully understand the T&Cs, and 28% find important sections are unclear. There are strong regional variations: Germans found their T&Cs particularly hard to understand, and USA bank customers assumed some of their behaviours contravened the T&Cs, but were reassured when they actually read them. Journal of Cybersecurity , Volume 3, Issue 2, Pages 109125, Oxford University Press, 01 June 2017. [ paper | DOI 10.1093/cybsec/tyx011 | data ] Recent talks For more detail see my full list of talks Context and decontextualization as a cause of payment fraud Steven J. Murdoch Although 2FA is increasingly widespread, payment fraud remains commonplace. I will discuss a root cause for such failures that transactions are losing the context previously associated with traditional in-branch payments and this lack of context is being taken advantage by criminals. I will propose some methods to identify such failures to help avoid the mistakes of the past. 2FA WTF? Whats the Future of CX/UX Digital Authentication, London, 30 October 2018. [ slides ] Payment Security: Attacks & Defences Steven J. Murdoch This lecture provides an introduction to payment card and online banking security mechanisms and the fraud techniques which are designed to break or bypass these measures. An overview of the EMV protocol is given, along with an illustration of how skimming attacks and the no-PIN attack exploit protocol weaknesses. The man-in-the-browser attack is outlined, and how transaction authentication is intended to defend against this. Guest lecture as part of COMPGA03 - Introduction to Cryptography , University College London, 13 December 2016. [ slides ] Decentralising Data Collection and Anonymisation Steven J. Murdoch A frequent approach for anonymising datasets is for individuals to submit sensitive data records to a central authority. The central authority then is responsible for safely storing and sharing the data, for example by aggregating or perturbing records. However, this approach introduces the risk that the central authority may be compromised, whether this from an externally originated hacking attempt or as a result of an insider attack. As a result, central authorities responsible for handling sensitive data records must be well protected, often at great expense, and even then the risk of compromise will not be eliminated. In this talk I will discuss an alternative anonymisation approach, where sensitive data records have identifiable information removed before being submitted to the central authority. In order for this approach to work, not only must this first-stage anonymisation prevent the data from disclosing the identity of the submitter, but also the data records must be submitted in such a way as to prevent the central authority from being able to establish the identity of the submitter from submission metadata. I will show how advances in network metadata anonymisation can be applied to facilitate this approach, including techniques to preserve validity of data despite not knowing the identity of contributors. New Developments in Data Privacy , Isaac Newton Institute, 09 December 2016. [ slides | video ] Professional activities Research supervision Killian Davitt (PhD student, 2018): understanding, measuring and improving the security of collaboration tools. Alexander Hicks (PhD student, 2017): privacy preserving continuous authentication. Andreas Gutmann (PhD student, 2016): privacy-preserving transaction authentication for mobile devices. Shehar Bano (Research Assistant & PhD student, 20132016): measurement of censorship and censorship resistance systems. Kumar Sharad (PhD student, 20122016): security in social networks anonymisation and fraud prevention. Program chair 14th Privacy Enhancing Technologies Symposium , 1618 July, 2014, Amsterdam, Netherlands. 15th Privacy Enhancing Technologies Symposium , 30 June2 July 2015, Philadelphia, PA, USA. General chair Financial Cryptography and Data Security 2011 , 15th International Conference, 28 February4 March 2011, St. Lucia. Programme committee membership IEEE European Symposium on Security and Privacy 2019 IFIP Summer School 2016 , 2017 , 2018 Financial Cryptography and Data Security (FC): 2010 , 2016 , 2018 Privacy Enhancing Technologies Symposium (PETS): 2007 , 2008 , 2009 , 2011 , 2017 , 2018 Network and Distributed System Security Symposium (NDSS): 2017 ACM Conference on Computer and Communications Security (CCS): 2007 , 2008 , 2010 , 2011 , 2016 Annual Privacy Forum 2014 Free and Open Communications on the Internet (FOCI) 2013 USENIX Security 2012 European Symposium on Research in Computer Security (ESORICS) 2011 Workshop on Foundations of Security and Privacy (FCS-PrivMod): 2010 Workshop on Privacy in the Electronic Society (WPES): 2006 , 2007 , 2009 FIDIS/IFIP Internet Security & Privacy Summer School: 2008 ACM Symposium on Applied Computing (Computer Security track): 2007 Journal reviewing Includes Proceedings on Privacy Enhancing Technologies (2017, 2018, 2019), ACM Transactions on Internet Technology (TOIT) (2017), International Journal of Computer Security (2016), IEEE Transactions on Dependable and Secure Computing (2009), ACM Transactions on Information and System Security (2008), IEEE Transactions on Software Engineering (2008), IEEE/ACM Transactions on Networking (2007), IEEE Security & Privacy (2007), The Triple Helix (2008), Identity in the Information Society (2008). Contact Details email (preferred): s.murdoch at ucl.ac.uk post: Dr Steven J. Murdoch Computer Science Department University College London Gower Street London WC1E 6BT United Kingdom phone: +44 20 3108 1629 (internal x51629) mobile and Signal : +44 7866 807 628 diff --git a/src/data/compiled_bios/1071.txt b/src/data/compiled_bios/1071.txt new file mode 100644 index 0000000000..f8a66b629d --- /dev/null +++ b/src/data/compiled_bios/1071.txt @@ -0,0 +1 @@ + Yuzi Nakamura Role Teaching Fellow Office TBA Office Location University College London Dept. of Computer Science Gower Street London WC1E 6BT United Kingdom Tel +44 (0)20 7679 TBA (Direct Dial) Internal TBA Fax +44 (0)20 7387 1397 Email Y.Nakamura (at) cs.ucl.ac.uk Postal Address University College London Dept. of Computer Science Gower Street London WC1E 6BT United Kingdom Group Advanced Teaching Group Personal Pages (None) diff --git a/src/data/compiled_bios/1072.txt b/src/data/compiled_bios/1072.txt new file mode 100644 index 0000000000..6cf87a1ab0 --- /dev/null +++ b/src/data/compiled_bios/1072.txt @@ -0,0 +1 @@ + Peter O'Hearn Home Biography Publications Talks Brief CV PPLV group @ UCL. I am a Professor of Computer Science at University College London and a Research scientist at Facebook. My research has stretched from abstract topics such as category-theoretic models and logics through to logics of programs and on to automated analysis of industrial software in the million of lines of code and its deployment to products used regularly by billions of people. I like to think that fundamental theory, tool development and application can and even should play off one another via mutual feedback in computer science research, in a way reminiscent of the experimental method. Recent: Separation Logic. Communications of the ACM, February 2019, Vol. 62 No. 2, Pages 86-95. ( Appendix on Mechanized Reasoning ) POPL 2019 Most Influential Paper Award for research that led to Facebook Infer A True Positives Theorem for a Static Race Detector POPL'19 RacerD: Compositional Static Race Detection. OOPSLA'18 Facebook Engineering Blog Post TheNewStack interview , TechRepublic article Experience developing and deploying concurrency analysis at Facebook. Invited tutorial at SAS'18 Continuous Reasoning: Scaling the impact of formal methods. LICS'18 paper associated with my plenary talk at FLoc Concurrent Separation Logic. Steve Brookes and Peter O'Hearn. ACM SIGLOG News Vol 3, No 3, pp 47-65, July 2016 Foreword by Mike Mislove and Prakash Panangaden CurryOn'16 talk on deploying Infer at Facebook. From Categorical Logic to Facebook Engineering. LICS 2015: 17-21 Moving Fast with Software Verification. NASA Formal Methods symposium 2015: 3-11 The Essence of Reynolds. Tribute to John C. Reynolds. POPL'14, pages 251-255. Also published in Formal Asp. Comput. 26(3): 435-439 (2014) A Primer on Separation Logic (and Automatic Program Verification and Analysis). email: p.ohearn AT ucl.ac.uk Projects Bunched Logic Separation Logic Facebook Infer Smallfoot SpaceInvader Abductor East London Massive Other Links FRS FREng Dal HonDoc 2016 CAV award FB blog post Award talk slides 2016 Gdel Prize Interview Citation Waiting for Gdel - The New Yorker PL Enthusiast Interview Open-sourcing FB Infer Wired article Information Week ADT mag Techcrunch Facebook Acquires Monoidics (2013) Research Portrait (2012) POPL Influential Paper Award (2011) Attack of the 50 Foot Spatial Dudes Proof of Cyclic List Reversal diff --git a/src/data/compiled_bios/1073.txt b/src/data/compiled_bios/1073.txt new file mode 100644 index 0000000000..97aa2ae2c6 --- /dev/null +++ b/src/data/compiled_bios/1073.txt @@ -0,0 +1 @@ + Sebastien Ourselin Role Professor of Medical Image Computing Office EFB3.03 Office Location University College London Dept. of Computer Science Gower Street London WC1E 6BT United Kingdom Tel +44 (0)20 7679 3023 (Direct Dial) Internal 33023 Fax +44 (0)20 7387 1397 Email S.Ourselin (at) cs.ucl.ac.uk Postal Address University College London Dept. of Computer Science Gower Street London WC1E 6BT United Kingdom Group Medical Image Computing Personal Pages (None) diff --git a/src/data/compiled_bios/1074.txt b/src/data/compiled_bios/1074.txt new file mode 100644 index 0000000000..a4a4689e01 --- /dev/null +++ b/src/data/compiled_bios/1074.txt @@ -0,0 +1 @@ + Geoff Parker Role (academic-staff) Office TBA Office Location University College London Dept. of Computer Science Gower Street London WC1E 6BT United Kingdom Tel +44 (0)20 7679 TBA (Direct Dial) Internal TBA Fax +44 (0)20 7387 1397 Email G.Parker (at) cs.ucl.ac.uk Postal Address University College London Dept. of Computer Science Gower Street London WC1E 6BT United Kingdom Group (academic-staff) Personal Pages (None) diff --git a/src/data/compiled_bios/1075.txt b/src/data/compiled_bios/1075.txt new file mode 100644 index 0000000000..2950127601 --- /dev/null +++ b/src/data/compiled_bios/1075.txt @@ -0,0 +1 @@ + Paris Pennesi Role Senior Teaching Fellow Office TBA Office Location University College London Dept. of Computer Science Gower Street London WC1E 6BT United Kingdom Tel +44 (0)20 7679 TBA (Direct Dial) Internal TBA Fax +44 (0)20 7387 1397 Email P.Pennesi (at) cs.ucl.ac.uk Postal Address University College London Dept. of Computer Science Gower Street London WC1E 6BT United Kingdom Group Financial Computing and Analytics Personal Pages (None) diff --git a/src/data/compiled_bios/1076.txt b/src/data/compiled_bios/1076.txt new file mode 100644 index 0000000000..0296c7f2bb --- /dev/null +++ b/src/data/compiled_bios/1076.txt @@ -0,0 +1 @@ + Massimiliano Pontil Department of Computer Science, UCL Malet Place, London WC1E 6BT, UK Phone: +44 (0)20 3108 7075 Fax: +44 (0)20 7387 1397 I am part-time Professor of Computational Statistics and Machine Learning in the Department of Computer Science at UCL , and Senior Researcher at Istituto Italiano di Tecnologia , where I lead the CSML research group. My research interests are in the areas of machine learning, with a focus on statistical learning theory, kernel methods, multitask and transfer learning, online learning, learning over graphs and sparsity regularization. I also have some interests in approximation theory, numerical optimization and statistical estimation, and I have pursued machine learning applications arising in computer vision, bioinformatics and user modeling. Biography Publications Software Courses Events diff --git a/src/data/compiled_bios/1077.txt b/src/data/compiled_bios/1077.txt new file mode 100644 index 0000000000..c3fbf67c30 --- /dev/null +++ b/src/data/compiled_bios/1077.txt @@ -0,0 +1 @@ + Home | Research | Software Graduate Students Group Page Projects Talks and Tutorials Publications | Teaching | Open Positions | Blog Film Thoughts Favorite Places Nataa Prulj, Ph.D., MAE Professor of Biomedical Data Science Computer Science University College London Education Ph.D. in Computer Science, University of Toronto, Canada, 2005 M.Sc. in Computer Science, University of Toronto, Canada, 2000 B.Sc. First Class Honors in Maths and Computer Science, Simon Fraser University, Canada, 1997 Biography Prof. Przulj is recognized for initiating extraction of biomedical knowledge from the wiring patterns (topology, structure) of "Big Data" real-world molecular (omics) and other networks. That is, she views the wiring patterns of large and complex omics networks, disease ontologies, clinical patient data, drug-drug and drug-target interaction networks etc., as a new source of information that complements the genetic sequence data and needs to be mined and meaningfully integrated to gain deeper biomedical understanding. Her recent work includes designing machine learning methods for integration of heterogeneous biomedical and molecular data, applied to advancing biological and medical knowledge. She also applies her methods to economics. She is: a member of the Editorial Boards of Bioinformatics (Oxford Journals), Scientific Reports ( Nature Publishing Group) and Frontiers in Genetics (Frontiers), an Associate Editor of the Journal of Complex Networks (Oxford Academic) and BMC Bioinformatics (BioMed Central), a member of the Scientific Advisory Board of the Helmholtz Centre for Infection Research (HZI / Braunschweig, Germany) , and the Proceedings / Area Chair of Protein Interactions, Molecular Networks and Network Biology tracks at the ISMB/ECCB 2015 , ISMB 2016 and ISMB/ECCB 2017 . For more details, please see Prof. Przulj's CV , Semantic Scholar Citations , Google Scholar Citations , or the list of publications and the research page . Awards Prof. Przulj was elected into Academia Europaea, The Academy of Europe, in 2017. In 2013, she was elected into the Young Academy of Europe . She is a Fellow of the British Computer Society. She was awarded the British Computer Society Roger Needham Award for 2014 in recognition of the potential her research and work has to revolutionise health and pharmaceutics -- the award is given annually for a distinguished research contribution in computer science by a UK based researcher within ten years of their PhD. She received two prestigious, single PI, European Research Council (ERC) grants: a 2 million Euro ERC Consolidator Grant for her 2018-2023 project titled "Integrated Connectedness for a New Representation of Biology (ICON-BIO)" and a 1.64 million Euro ERC Starting Independent Researcher Grant for 2012-2017 for her project titled "Biological Network Topology Complements Genome as a Source of Biological Information." She held a USA analogue to an ERC Starting Grant, a prestigious NSF CAREER Award, for the project titled "Tools for Analyzing, Modeling, and Comparing Protein-Protein Interaction Networks" in 2007-2011 at University of California Irvine. Her research has also been supported by other large governmental and industrial grants including those from GlaxoSmithKline, IBM and Google. Press Highlights ERC Consolidator Grant for Nataa Prulj , UCL Computer Science News, Dec. 12, 2017 PIMS-SFU 20th Anniversary Celebration: Nataa Prulj - Data Driven Medicine , Nov. 25th, 2016 "Conquering Cancer" by Mike Hall, ITNOW (Autumn 2016) 58 (3): 40-41 doi:10.1093/itnow/bww076 (Oxford Journals; The British Computer Society), September 2016 Public lecture at The Royal Society in London, November 19, 2014. Video available at YouTube and at BCS Awarded the 2014 BCS Roger Needham Award sponsored by Microsoft Research Cambridge BCS video interview , 2014 Affiliations Academia Europaea, The Academy of Europe Association for Computing Machinery (ACM) British Computer Society (BCS) International Society for Computational Biology (ISCB) Young Academy of Europe (YAE) the PROSTATE project , help us beat prostate cancer, please donate E-mail: natasa [at] cs [dot] ucl [dot] ac [dot] uk | Office: University College London, Computer Science Department, Gower Street, London WC1E 6BT, UK diff --git a/src/data/compiled_bios/1078.txt b/src/data/compiled_bios/1078.txt new file mode 100644 index 0000000000..0557cf266e --- /dev/null +++ b/src/data/compiled_bios/1078.txt @@ -0,0 +1 @@ + Prof. David J. Pym UCL and the Alan Turing Institute, London Basics and Contacts Prof. David J. Pym, PhD (Edin), MA, ScD (Cantab), CMath FIMA, CITP FBCS Professor of Information, Logic, and Security at UCL , University of London Head of Programming Principles, Logic, and Verification ( PPLV ) Turing Fellow , The Alan Turing Institute University College London Department of Computer Science Gower Street London WC1E 6BT d.pym (at) ucl.ac.uk Assistant Julia Savage Email: j.savage (at) ucl.ac.uk Telephone: +44 (0)20 7679 0327 (direct); 30327 (internal) Brief Bio and Short CV I am a logician, mathematician, and computer scientist. My research is mainly in logic, where I work in pure logic, including - the proof theory and semantics of bunched logics, - proof-theoretic semantics, and - the proof theory and semantics of reductive logic (see, for example, Reductive Logic: Proof Theory, Semantics, and Control , by David Pym and Eike Ritter, Oxford Logic Guides and the EPSRC-funded project ReLiC ) and on developing logic-based methods as a mathematical modelling technology for reasoning about systems, security, and behaviour (see, for example, the EPSRC-funded project IRIS ). I am beginning to develop logic-based approaches to a semantic theory of information (in the philosophical spirit of situation theory). I also work in information security, where I work in security policy, security economics, and systems security modelling. My contributions have been mainly in the following areas: dependent type theory and logical frameworks, including proof theory, semantics, and unification algorithms; reductive logic and proof-search, including proof theory and semantics, for classical intuitionistic, and substructural logics; categorical models of the classical sequent calculus and its theory of reduction; the bunched logic BI and its relatives, including proof theory, semantics, algebraic theory, and computational interpretations, and their applications to program logics, including Separation Logic, and security; distributed systems modelling based on resource semantics and process algebra; modal and epistemic bunched logics and layered graph logics, with applications in access control; utility-theoretic concepts in distributed systems modelling and process algebra, with applications in systems security modelling; trust domains; information security economics; the philosophy and methodology of information security; public policy in information security, including information stewardship. I have broad experience of research, teaching, and management in leading universities and in industry. Trust me, I'm a logician. David's UCL CS Page Short CV Research Interests Recent and Selected Publications: Current drafts ( html version ) Logic and Systems Modelling ( html version ) Security and Policy ( html version ) Tools Older Publications Logic ( html version ) Other ( html version ) Books ( html version ) Research Grants EPSRC Programme Grant IRIS EPSRC Research Grant ReLiC Alan Turing Institute UCL PPLV UCL Information Security Teaching UCL Roles Editorial Roles Short CV News Lectures Conferences Film Other diff --git a/src/data/compiled_bios/1079.txt b/src/data/compiled_bios/1079.txt new file mode 100644 index 0000000000..77a5b1eef6 --- /dev/null +++ b/src/data/compiled_bios/1079.txt @@ -0,0 +1 @@ + Research Publications Software CV Other Links Contact Im currently a Researcher at Facebook AI Research . I am also a Professor at University College London and an Allen Distinguished Investigator , leading the Machine Reading Lab . Before that I was a postdoc and research scientist with Andrew McCallum at UMass Amherst , a researcher at Tokyo University and DBCLS with Tsujii Junichi , and a PhD student with Ewan Klein at the University of Edinburgh . I work on teaching machines how to read and reason , in the intersection of Natural Language Processing (NLP) and Machine Learning. Recently, I have been tackling these problems via forms of end-to-end differentiable program interpreters as well as adversarial regularisation. I am generally interested in deep learning, good old graphical models as well as old-school symbolic AI. Here are a few recent representative publications: Programming with a Differentiable Forth Interpreter , Bosnjak, Matko , Rocktaschel, Tim , Naradowsky, Jason and Riedel, Sebastian , Proceedings of the 34th International Conference on Machine Learning (ICML) 2017 [ pdf ] [ details ] End-to-end Differentiable Proving , Rocktaschel, Tim and Riedel, Sebastian , Advances in Neural Information Processing Systems (NIPS) 2017 [ pdf ] [ details ] Adversarial Sets for Regularising Neural Link Predictors , Minervini, Pasquale , Demeester, Thomas, Rocktaschel, Tim and Riedel, Sebastian , Proceedings of the 33th Annual Conference on Uncertainty in AI (UAI) 2017 [ pdf ] [ details ] Complex Embeddings for Simple Link Prediction , Trouillon, Tho, Welbl, Johannes , Bouchard, Guillaume , Riedel, Sebastian and Gaussier, Eric , International Conference on Machine Learning 2016 [ pdf ] [ details ] See my publication , software and scholar pages for more details. If you are interested in doing a PhD with me, please have a look at these instructions . Tweets by @riedelcastro diff --git a/src/data/compiled_bios/108.txt b/src/data/compiled_bios/108.txt new file mode 100644 index 0000000000..d129e70c01 --- /dev/null +++ b/src/data/compiled_bios/108.txt @@ -0,0 +1 @@ +Devices in modern technologies (e.g., microelectronics, MEMS, photonics, and biosensors) are integrated structures of diverse materials, complex architectures, and small feature sizes. Their function, fabrication, and reliability pose urgent mechanics problems. As the experimental and computational capabilities change drastically, the division of labor is shifting: What to understand? What to measure? What to compute? Suo and his students aim to create scientific models of small-scale processes that have significant engineering consequences. The following examples illustrate the promise of future growth in mechanics.Mechanics of nanofabrication. Mass-producing nanostructures is a great challenge of our time. Several fabrication processes have recently shown astonishing capabilities. For example, nanoimprint has brought time-honored printing technology to such an exquisite size scale. Mechanics has long played significant roles in manufacturing, such as metal forming, ceramic sintering, and polymer molding. More recently, success stories have accumulated in applying mechanics to nanoscale fabrication. Examples include the stability of a strained thin epitexial film against dislocation injection, and strain-induced self-assembly of quantum dots. In collaboration with electrical engineers at Princeton University, Suo and his students have recently studied the mechanics of fabricating zero-defect, strain-free SiGe films on oxides. The research has led to great improvement of the fabrication process.Mechanics of self-assembly. As photolithography reaches its limit of resolution, many alternative patterning technologies are under intense investigation. Among them are various processes of self-assembly. What are the forces that assemble these structures? What structures can be produced? Suo and his students are studying molecules adsorbed on a solid surface, forming a pattern of disks or stripes, of stable sizes on the order 1-100 nm. The simulation of the group has suggested experimental means to form a perfect periodic pattern or, more remarkably, desired aperiodic patterns. The group is also exploring means for programmable transport of functional molecules on a chip.Mechanics of durability. Nearly all materials in the on-chip interconnect structure have been changed in recent years. The feature size has already gone below 100 nm. Temperature cycling has long been used as a test to qualify devices. After being cycled between two temperatures, say -55C to 125C for 1000 times, a device is tested for its function, and then sectioned and examined in microscopes for failure modes (e.g., distortion and cracking). If a failure mode is found, one makes a new device by modifying either processing parameters, or geometry, or materials. The new device is temperature cycled again, followed by the microscopy examination. These make-and-break iterations are extremely time consuming. Scientific understanding of this test is of great value. In collaboration with researchers at Intel Corporation, Suo group has identified a new failure mechanism, called ratcheting-induced stable cracking (RISC). The mechanism shows how, in an integrated structure, the cycling temperature gradually breaks a brittle solid. diff --git a/src/data/compiled_bios/1080.txt b/src/data/compiled_bios/1080.txt new file mode 100644 index 0000000000..33a0c30958 --- /dev/null +++ b/src/data/compiled_bios/1080.txt @@ -0,0 +1 @@ +Search this site Simone Righi Menu Home Vitae Publications Links Contacts Simone Righi Home Vitae Publications Links Contacts More Home Vitae Publications Links Contacts Simone Righi Lecturer in Financial Computing - University College London Welcome to my home page! I am Lecturer in Financial Computing at the Department of Computer Science of the University College London where I am a Member of the Financial Computing and Analytics group. Moreover I am an affiliated researcher of the DYNAMETS - Dynamic Systems Analysis for Economic Theory and Society research group and an affiliate member of the Namur Center for Complex Systems (Naxys). My research interests: Evolution of cooperation in networks (theory and experiments) Companies strategies in the digital economy (industrial Organization) Financial markets (microstructure, systemic properties and behavioral bias), Social Interactions on complex networks (theory and experiments), News Made with the new GoogleSites , an effortless way to create beautifulsites. Create a site Report abuse diff --git a/src/data/compiled_bios/1081.txt b/src/data/compiled_bios/1081.txt new file mode 100644 index 0000000000..d4798353a3 --- /dev/null +++ b/src/data/compiled_bios/1081.txt @@ -0,0 +1 @@ + Tobias Ritschel Role Senior Lecturer Office GS1.03 Office Location University College London Dept. of Computer Science 66-72 Gower Street London WC1E 6EA United Kingdom Tel +44 (0)20 3108 7397 (Direct Dial) Internal 57397 Fax +44 (0)20 7387 1397 Email T.Ritschel (at) cs.ucl.ac.uk Postal Address University College London Dept. of Computer Science Gower Street London WC1E 6BT United Kingdom Group Virtual Environments and Computer Graphics Personal Pages (None) diff --git a/src/data/compiled_bios/1082.txt b/src/data/compiled_bios/1082.txt new file mode 100644 index 0000000000..38d69d9c16 --- /dev/null +++ b/src/data/compiled_bios/1082.txt @@ -0,0 +1 @@ + UCL COMPUTER SCIENCE Graham Roberts CS Home My Home Page Teaching Research About Me Dr. Graham Roberts Departmental Tutor Director of Studies Direct line: +44 (0)20 3108 7047 Internal: 57047 Fax: +44 (0)20 7387 1397 Email: G.Roberts@cs.ucl.ac.uk Office: GS1.03 66-72 Gower Street Address: UCL Computer Science 66-72 Gower Street London WC1E 6EA ENGLAND A Textbook written by Russel Winder and Graham Roberts (UCL) published by John Wiley & Sons . This is an academic text aimed at those learning Java as a core programming language. Visit the " Developing Java Software " Website Last updated: September 2015 UCL Computer Science - University College London - Gower Street - London - WC1E 6BT - +44 (0)20 7679 7214 - Copyright 2015 UCL Disclaimer | Accessibility | Privacy | Advanced Search | Help diff --git a/src/data/compiled_bios/1083.txt b/src/data/compiled_bios/1083.txt new file mode 100644 index 0000000000..59762b1a38 --- /dev/null +++ b/src/data/compiled_bios/1083.txt @@ -0,0 +1 @@ + Tim Rocktschel Machine Learning, Deep Learning, Reinforcement Learning, Natural Language Processing Short Bio I am looking for students interested in doing a Ph.D. with me at the Department of Computer Science at University College London . Please follow these instructions and get in touch in case you have any questions! I am a Research Scientist at Facebook AI Research London and a Lecturer (roughly equivalent to Assistant Professor) in the Department of Computer Science at University College London . Before, I was a postdoctoral researcher in the Whiteson Research Lab , a Stipendiary Lecturer in Computer Science at Hertford College , and a Junior Research Fellow in Computer Science at Jesus College , at the University of Oxford . I obtained my Ph.D. in the Machine Reading group at University College London under the supervision of Sebastian Riedel . I received a Google Ph.D. Fellowship in Natural Language Processing and a Microsoft Research Ph.D. Scholarship . I worked as a Research Intern at Google DeepMind in Summer 2015 under the supervision of Edward Grefenstette . In 2012, I received my Diploma (equivalent to M.Sc) in Computer Science from the Humboldt-Universitt zu Berlin . Between 2010 and 2012, I worked as a student assistant and in 2013 as research assistant in the Knowledge Management in Bioinformatics group of Ulf Leser . My research focuses on the design of sample efficient and interpretable machine learning methods by incorporating prior knowledge in symbolic and textual form. His work is at the intersection of deep learning, natural language processing, reinforcement learning, program induction, and formal logic. Tweets by _rockt Upcoming... 01/11/2018 Invited speaker at the first workshop on Fact Extraction and Verification (FEVER) at EMNLP 2018 in Brussels, Belgium. News 05/09/2018 Our paper on e-SNLI: Natural Language Inference with Natural Language Explanations got accepted at NIPS 2018 in Montreal, Canada! 20/08/2018 I am now a Research Scientist at Facebook AI Research London . 13/08/2018 I am now a Lecturer in the Department of Computer Science at University College London . 10/08/2018 Our paper on Interpretation of Natural Language Rules in Conversational Machine Reading got accepted at EMNLP 2018 in Brussels, Belgium! 14/07/2018 I co-organized the 2nd Workshop on Neural Abstract Machines & Program Induction (NAMPI) at ICML 2018 in Stockholm, Sweden. 30/05/2018 Invited talk on AI - The Good, the Bad, and the Ugly at the Sad Business School's Oxford Disruptive Tech Week at the University of Oxford, UK. 11/05/2018 Our paper on DiCE: The Infinitely Differentiable Monte Carlo Estimator got accepted at ICML 2018 in Stockholm, Sweden! 30/04/2018 I published a blog post on Einstein Summation (einsum) in Deep Learning . 27/03/2018 Invited talk on Deep Learning with Explanations at the Adaptive Preparation of Information from Heterogeneous Sources (AIPHES) research training group at TU Darmstadt, Germany. 02/03/2018 Invited talk on Deep Learning with Explanations at the Structured and Probabilistic Intelligent Knowledge Engineering (SPIKE) group at Imperial College London, UK. 15/02/2018 Preprint of our paper DiCE: The Infinitely Differentiable Monte-Carlo Estimator is online! 29/01/2018 Our paper on TreeQN and ATreeC: Differentiable Tree Planning for Deep Reinforcement Learning got accepted at ICLR 2018 in Vancouver, Canada! 12/01/2018 Invited speaker at the Alan Turing Institute workshop on Logic and Learning in London, UK. 08/12/2017 I co-organized the 6th NIPS 2017 Workshop on Automated Knowledge Base Construction (AKBC) . 01/11/2017 Preprint of our paper TreeQN and ATreeC: Differentiable Tree Planning for Deep Reinforcement Learning is online! 16/10/2017 I am now a Junior Research Fellow in Computer Science at Jesus College , University of Oxford! 12/10/2017 Invited speaker at the GPU Techonlogy Conference (GTC Europe) in Munich, Germany. 01/10/2017 I am now a Stipendiary Lecturer in Computer Science at Hertford College , University of Oxford! 27/09/2017 I gave a lecture on Deep Learning for Natural Language Processing at the 2nd International Summer School on Data Science (SSDS) . Slides available here . 04/09/2017 Our paper on End-to-end Differentiable Proving got accepted for oral presentation (1.2% acceptance rate) at NIPS 2017 in Long Beach, CA! 29/08/2017 Invited talk on End-to-end Differentiable Proving at Google Research in Mountain View, CA. 15/08/2017 I co-organized the 7th Workshop on Statistical Relational AI (StarAI) at UAI 2017 in Sydney, Australia. 26/07/2017 Invited talk on End-to-end Differentiable Proving at DeepMind . News Archive Selected Publications End-to-end Differentiable Proving NIPS 2017 Neural networks for end-to-end differentiable proving that learn vector representations of symbols and induce first-order logic rules. NIPS oral presentation (1.2% acceptance rate). Reasoning about Entailment with Neural Attention ICLR 2016 Deep recurrent neural networks with a neural attention mechanism for natural language inference. Programming with a Differentiable Forth Interpreter ICML 2017 An end-to-end differentiable interpreter to train neural networks from program input-output data. TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep Reinforcement Learning ICLR 2018 Combining model-free and model-based reinforcement learning. Adversarial Sets for Regularising Neural Link Predictors UAI 2017 An adversarial model for regularizing neural networks by logical rules. Injecting Logical Background Knowledge into Vector Representations NAACL 2015 Differentiable logical rules for regularizing neural networks to incorporate background knowledge. Contact tim [dot] rocktaeschel [at] gmail [dot] com Robert Hooke Building, Parks Road, Oxford OX1 3PR, United Kingdom Copyright Tim Rocktschel HTML5 Design: TEMPLATED Home News Publications CV Blog Contact diff --git a/src/data/compiled_bios/1084.txt b/src/data/compiled_bios/1084.txt new file mode 100644 index 0000000000..0f6cd9ec23 --- /dev/null +++ b/src/data/compiled_bios/1084.txt @@ -0,0 +1 @@ + Close UCLIC - UCL Interaction Centre Home Home People Academics Administration Researchers PhD students Visitors Former UCLICers Study Prospective Research Students Induction Week Prospective Taught Students Studying HCI Part-Time Study Apply Now Graduate Destinations Student views FAQ New Students Current Research Students Current Taught Students Distinction Projects UCLIC Alumni Research Affective Computing Health and Wellbeing Collaboration & Communication Interactions in the Wild Designing Future Interfaces Physical Computing Educational Technologies Persuasive Technologies AI and HCI Assistive and Enabling Technology Publications Books About us Collaborate with us Research Collaborations Teaching Collaborations UCLIC's History News, Events, Seminars News Events Seminars Jobs Home People Academics Administration Researchers PhD students Visitors Former UCLICers Study Research Publications About us News, Events, Seminars Tweets by uclic Home People Yvonne Rogers Yvonne Rogers Professor and Director of UCLIC y.rogers@ucl.ac.uk +44 (0)20 3108 7073 (x57073) Room: 2.13 UCLIC, University College London 66 - 72 Gower Street London, WC1E 6EA United Kingdom My blog Website for Intel Cities Institute (ICRI) 4th Edition of Interaction Design textbook Research in The Wild (2017) My research: Images, videos, publications, etc. General Yvonne Rogers is a Professor of Interaction Design, the director of UCLIC and a deputy head of the Computer Science department at UCL. Her research interests are in the areas of ubiquitous computing, interaction design and human-computer interaction. A central theme of her work is how to design interactive technologies that can enhance life by augmenting and extending everyday, learning and work activities. This involves informing, building and evaluating novel user experiences through designing, implementing and deploying a diversity of technologies. A current focus of her research is on human-centred data and people in the Internet of Things in urban settings. She is also interested in operationalising and investigating what human-centred AI means in practice. Central to her work is a critical stance towards how visions, theories and frameworks shape the fields of HCI, cognitive science and Ubicomp. She has been instrumental in promulgating new theories (e.g., external cognition), alternative methodologies (e.g., in the wild studies) and far-reaching research agendas (e.g., " Being Human: HCI in 2020" ). She has also published two monographs " HCI Theory: Classical, Modern and Contemporary." and " Research in the Wild." with Paul Marshall. Brief biography Yvonne joined UCL in September 2011. From 2006-2011, she was professor of HCI in the Computing Department at the Open University, where she set up the Pervasive Interaction Lab . From 2003-2006, she was a professor in Informatics at Indiana University. Prior to this, she spent 11 years at the former School of Cognitive and Computing Sciences at Sussex University. She has spent sabbaticals at Stanford, Apple, Queensland University, University of Cape Town, University of Melbourne, QUT, UC San Diego and this year at UC Santa Cruz. Yvonne was one of the principal investigators on the UK Equator Project (2000-2007) where she pioneered ubiquitous learning. She has published widely, beginning with her PhD work on graphical interfaces to her recent work on public visualisations and behavioural change. More recently, she was a PI for the Intel Collaborative Research Institute (ICRI) on sustainable and connected cities. This was a joint collaboration between UCL and Imperial, that ran for 5 years from 2012-2018. In her earlier career, she was awarded a prestigious EPSRC dream fellowship rethinking the relationship between ageing, computing and creativity . She is one of the authors of the definitive textbook on Interaction Design and HCI (4th edition), that has sold nearly 200,000 copies worldwide and has been translated into 6 languages. She collaborates a lot with industrial partners and recently was awarded a Microsoft Research Outstanding Collaborator Award (2016). This year she was was elected as a Fellow of the ACM. This is in addition to her being elected as a Fellow of the British Computer Society and a fellow of the ACM's CHI Academy: "an honorary group of individuals who have made substantial contributions to the field of human-computer interaction. These are the principal leaders of the field, whose efforts have shaped the disciplines and/or industry, and led the research and/or innovation in human-computer interaction." Research Publications Authors Title Year Publication Vilaza G Nunes, Can Liu , Benedikt Bengler , L Capra, Yvonne Rogers Here, This and Next: Evaluating Public Engagement with Multiple, Distributed and Interlinked Devices 2018 NordiCHI, Conference paper (text), Oslo, Norway Ana Javornik , E Kostopoulou, Yvonne Rogers , gen Schieck A Fatah, P Koutsolampros, AM Moutinho, S Julier An experimental study on the role of augmented reality content type in an outdoor site exploration 2018 Behaviour and Information Technology, Journal article Can Liu , Benedikt Bengler , Cuia D Di, Katie Seaborn , Vilaza G Nunes, Sarah Gallacher , L Capra, Yvonne Rogers Pinsight: A Novel Way of Creating and Sharing Digital Content through 'Things' in the Wild 2018 2018 Designing Interactive Systems Conference (DIS '18), Conference paper (text), Hong Kong, China Z Lechelt, Yvonne Rogers , N Yuill, L Nagl, G Ragone, Nicolai Marquardt Inclusive Computing in Special Needs Classrooms: Designing for All 2018 2018 CHI Conference on Human Factors in Computing Systems (CHI '18), Conference paper (text), Montreal, QC, Canada M Brereton, MZ Chai, A Soro, AH Ambe, D Johnson, P Wyeth, P Roe, Yvonne Rogers Demo: Make and connect: Enabling people to connect through their things 2017 ACM International Conference Proceeding Series, Conference paper (text) GR Sethu-Jones, Yvonne Rogers , Nicolai Marquardt Data in the garden: a framework for exploring provocative prototypes as part of research in the wild 2017 OZCHI '17, Conference paper (text), Brisbane, Australia JR Wallace, AS Lucero, Steven Houben , C Anslow, Yvonne Rogers , SD Scott The disappearing tabletop: Social and technical challenges for cross-surface collaboration 2017 Proceedings of the 2017 ACM International Conference on Interactive Surfaces and Spaces, ISS 2017, Conference paper (text) M Jones, M Tscheligi, R Murray-Smith, Yvonne Rogers Mobile HCI 2017: Foreword 2017 Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services, MobileHCI 2017, Conference paper (text) K Sauv, Steven Houben , Nicolai Marquardt , Saskia Bakker , B Hengeveld, Sarah Gallacher , Yvonne Rogers LOOP: A physical artifact to facilitate seamless interaction with personal data in everyday life 2017 DIS 2017 Companion - Proceedings of the 2017 ACM Conference on Designing Interactive Systems, Conference paper (text) Ana Javornik , Yvonne Rogers , D Gander, A Moutinho MagicFace: Stepping into Character through an Augmented Reality Mirror 2017 ACM SIGCHI Conference on Human Factors in Computing Systems (CHI), Conference paper (text), Denver, CO Mara Balestrini , Yvonne Rogers , C Hassan, J Creus, M King, Paul Marshall A City in Common: A Framework to Orchestrate Large-scale Citizen Engagement around Urban Issues 2017 CHI 2017, Conference paper (text), Denver, USA Yvonne Rogers , Venus Shum , Nicolai Marquardt , Susan Lechelt , Rose Johnson , H Baker, M Davies From the BBC Micro to micro: Bit and beyond: A British innovation 2017 Interactions, Journal article Yvonne Rogers , Venus Shum , Nicolai Marquardt , ZD Lechelt, Rose Johnson , H Baker, M Davies From the BBC micro to micro: bit and beyond: a British innovation 2017 Journal article Yvonne Rogers Foreword 2017 Book Z Lechelt, Yvonne Rogers , Nicolai Marquardt , Frederik Brudy MakeMe, codeme, connectus: Learning digital fluency through tangible magic cubes 2017 CEUR Workshop Proceedings, Conference paper (text) J Paay, T Robertson, M Brereton, Yvonne Rogers Wine and interaction design 2016 Proceedings of the 28th Australian Computer-Human Interaction Conference, OzCHI 2016, Conference paper (text) Frederik Brudy , Steven Houben , Nicolai Marquardt , Yvonne Rogers CurationSpace: Cross-Device Content Curation Using Instrumental Interaction 2016 ACM conference on Interactive Surfaces and Spaces, ISS '16, November 06 - 09, 2016, Niagara Falls, ON, Canada, Conference paper (text) Charlene Jennett , I Iacovides, Anna Cox , A Vikhanova, E Weigold, L Mostaghimi, Geraint Jones , J Jenkins, Sarah Gallacher , Yvonne Rogers Squeezy Green Balls: Promoting Environmental Awareness through Playful Interactions 2016 CHI Play, Conference paper (text), Austin, Texas Z Lechelt, Yvonne Rogers , Nicolai Marquardt , Venus Shum Democratizing children's engagement with the internet of things through connectus 2016 UbiComp 2016 Adjunct - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, Conference paper (text) Rose Johnson , Venus Shum , Yvonne Rogers , Nicolai Marquardt Make or Shake: An Empirical Study of the Value of Making in Learning about Computing Technology 2016 IDC 2016, Conference paper (text), Manchester UK Yvonne Rogers , Connie Golsteijn , L Capra, Sarah Gallacher Sens-Us: Designing Innovative Civic Technology for the Public Good. 2016 DIS, Conference paper (text), Australia Ana Javornik , Yvonne Rogers , A Moutinho, R Freeman Revealing the Shopper Experience of Using a "Magic Mirror" Augmented Reality Make-Up Application 2016 DIS 16, Conference paper (text), Brisbane Australia Steven Houben , Connie Golsteijn , Sarah Gallacher , Rose Johnson , Saskia Bakker , Nicolai Marquardt , L Capra, Yvonne Rogers Physikit: Data Engagement Through Physical Ambient Visualizations in the Home 2016 CHI 2016, Conference paper (text), San Jose, USA Frederik Brudy , Nicolai Marquardt , Yvonne Rogers , Abigail Sellen , K O'Hara The Challenges of Using an Existing Cross-Device Interaction Prototype for Supporting Actual Curation Practices 2016 Working/Discussion Paper, San Jose, CA ZD Lechelt, Yvonne Rogers , Nicolai Marquardt , Venus Shum ConnectUs: A New Toolkit for Teaching about the Internet of Things 2016 ACM CHI 2016, Conference paper (text), San Jose, CA Mara Balestrini , Paul Marshall , Yvonne Rogers , Jon Bird Jokebox: Coordinating Shared Encounters in Public Spaces 2016 CSCW '16, Conference paper (text), San Francisco gallacher, Golsteijn, Yvonne Rogers , L Capra, S Eustace SmallTalk: Using Tangible Interactions to Gather Feedback from Children 2016 10th ACM International Conference on Tangible, Embedded and Embodied Interaction, Conference paper (text) Geraint Jones , Yvonne Rogers , Nicolai Marquardt Presence and Use: Sensors In Community Gardening 2016 CHI2016 NatureCHI Workshop - Unobtrusive User Experiences with Technology in Nature, Conference abstract/presentation slides, San Jose, CA Mara Balestrini , T Diez, Paul Marshall , A Gluhak, Yvonne Rogers IoT Community Technologies: Leaving Users to Their Own Devices or Orchestration of Engagement? 2015 EAI Endorsed Transactions on Internet of Things, Journal article P Wyeth, M Brereton, P Roe, A Morrison, Yvonne Rogers , A Soro, D Johnson The internet of playful things 2015 CHI PLAY 2015 - Proceedings of the 2015 Annual Symposium on Computer-Human Interaction in Play, Conference paper (text) Sarah Gallacher , Connie Golsteijn , L Wall, Lisa Koeman , S Andberg, L Capra, Yvonne Rogers Getting Quizzical About Physical: Observing Experiences with a Tangible Questionnaire 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp), Conference paper (text), Osaka, JAPAN Mara Balestrini , Yvonne Rogers , Paul Marshall Civically Engaged HCI: Tensions Between Novelty and Social Impact 2015 British HCI Conference, Conference paper (text), Lincoln, ENGLAND Connie Golsteijn , Sarah Gallacher , L Capra, Yvonne Rogers Sens-Us: Imagining a Citizen-led, Dynamic, and Localized Census 2015 British HCI Conference, Conference paper (text), Lincoln, ENGLAND Yvonne Rogers Adaptive Interaction: A Utility Maximization Approach to Understanding Human Interaction with Technology 2015 JOURNAL OF THE ASSOCIATION FOR INFORMATION SCIENCE AND TECHNOLOGY, Journal article Lisa Koeman , V Kalnikaite, Yvonne Rogers "Everyone Is Talking about It!: A Distributed Approach to Urban Voting Technology and Visualisations 2015 ACM, Conference paper (text) K Hk, P Dalsgaard, S Reeves, J Bardzell, J Lwgren, E Stolterman, Yvonne Rogers Knowledge production in interaction design 2015 Conference on Human Factors in Computing Systems - Proceedings, Conference paper (text) Frederik Brudy , Nicolai Marquardt , H Jetter, Steven Houben , Abigail Sellen , Yvonne Rogers Supporting Collaborative Curation of Historic Documents with Mobile Ad Hoc Cross-Device Interactions 2015 Working/Discussion Paper, Seoul, Korea Sarah Gallacher , J O'Connor, Jon Bird , Yvonne Rogers , L Capra, Danny Harrison , Paul Marshall Mood Squeezer: Lightening up the Workplace through Playful and Lightweight Interactions 2015 ACM, Conference paper (text) Connie Golsteijn , Sarah Gallacher , Lisa Koeman , L Wall, S Andberg, Yvonne Rogers , L Capra VoxBox: a Tangible Machine that Gathers Opinions from the Public at Events 2015 ACM, Conference paper (text) Aisling Ann O'Kane , Yvonne Rogers , Ann Blandford Concealing or Revealing Mobile Medical Devices?: Designing for Onstage and Offstage Presentation 2015 ACM, Conference paper (text) J Preece, H Sharp, Yvonne Rogers Interaction Design: Beyond human-computer interaction 2015 Book R Rdle, H-C Jetter, M Schreiner, Z Lu, H Reiterer, Yvonne Rogers Spatially-aware or spatially-agnostic? Elicitation and Evaluation of User-Defined Cross-Device Interactions 2015 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Journal article Geraint Jones , Yvonne Rogers , Nicolai Marquardt Tiny Data: Situated Data Analysis to Support Community Decision Making 2015 CHI 2015 Alternative Systems Workshop, Conference abstract/presentation slides, Seoul J Baker, Nicolai Marquardt , Yvonne Rogers Open, Small-scale Fabrication: A Catalyst for Educating Communities about the Creation of Products 2014 FabLearn Europe: Digital Fabrication in Education Conference, Conference paper (text) RA Calvo, D Peters, D Johnson, Yvonne Rogers Autonomy in technology design 2014 Conference on Human Factors in Computing Systems - Proceedings, Journal article S Ganesh, Paul Marshall , Yvonne Rogers , K O'Hara FoodWorks: tackling fussy eating by digitally augmenting children's meals 2014 NordiCHI 2014, Conference paper (text), Helsinki Aisling Ann O'Kane , Yvonne Rogers , Ann Blandford Gaining empathy for non-routine mobile device use hrough autoethnography 2014 Conference on Human Factors in Computing Systems - Proceedings, Conference paper (text) R Rdle, HC Jetter, Nicolai Marquardt , H Reiterer, Yvonne Rogers Huddlelamp: Spatially-Aware mobile displays for ad-hoc around-the-table collaboration 2014 ITS 2014 - Proceedings of the 2014 ACM International Conference on Interactive Tabletops and Surfaces, Conference paper (text) Yvonne Rogers , M Scaife, A Rizzo Interdisciplinarity: An emergent or engineered process 2014 Journal article Yvonne Rogers , J Paay, M Brereton, K Vaisutis, G Marsden, F Vetere Never too old: Engaging retired people inventing the future with MaKey MaKey 2014 Conference on Human Factors in Computing Systems - Proceedings, Journal article Mara Balestrini , Jon Bird , Paul Marshall , Yvonne Rogers , A Zaro Understanding sustained community engagement: A case study in heritage preservation in rural Argentina 2014 CHI '14 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Conference paper (text) Lisa Koeman , V Kalnikaite, Yvonne Rogers , Jon Bird What chalk and tape can tell us: Lessons learnt for next generation urban displays 2014 PerDis 2014 - Proceedings: 3rd ACM International Symposium on Pervasive Displays 2014, Journal article Danny Harrison , Yvonne Rogers UCLIC 2013 Interactions, Journal article AK Clear, E Ganglbauer, R Comber, M Hazas, A Friday, Yvonne Rogers Green food technology: Ubicomp opportunities for reducing the environmental impacts of food 2013 UbiComp 2013 Adjunct - Adjunct Publication of the 2013 ACM Conference on Ubiquitous Computing, Journal article S Hosio, J Goncalves, V Kostakos, K Cheverst, Yvonne Rogers Human interfaces for civic and urban engagement: HiCUE '13 2013 UbiComp 2013 Adjunct - Adjunct Publication of the 2013 ACM Conference on Ubiquitous Computing, Journal article Stefan Kreitmayer , R Laney, S Peake, Yvonne Rogers Sharing bubbles: Reflections on offline multi-surface scenarios 2013 UbiComp 2013 Adjunct - Adjunct Publication of the 2013 ACM Conference on Ubiquitous Computing, Journal article Stefan Kreitmayer , Yvonne Rogers , R Laney, S Peake UniPad: Orchestrating collaborative activities through shared tablets and an integrated wall display 2013 UbiComp 2013 - Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing, Journal article Rose Johnson , N Bianchi-Berthouze, Yvonne Rogers , der Linden J van Embracing Calibration in Body Sensing: Using Self-Tweaking To Enhance Ownership and Performance 2013 He 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2013), Conference paper (text), Zurich Der Linden J Van, Yvonne Rogers , T Coughlan, A Adams, C Wilson, P Haya, E Martn, T Collins Evocative computing - Creating meaningful lasting experiences in connecting with the past 2013 HUMAN-COMPUTER INTERACTION - INTERACT 2013, PT I, Journal article V Kalnikaite, Jon Bird , Yvonne Rogers Decision-making in the aisles: informing, overwhelming or nudging supermarket shoppers? 2013 PERSONAL AND UBIQUITOUS COMPUTING, Journal article V Kalnikaite, Jon Bird , Yvonne Rogers Decision-making in the aisles: Informing, overwhelming or nudging supermarket shoppers? 2013 Personal and Ubiquitous Computing, Journal article P Eslambolchilar, Yvonne Rogers Theme issue on persuasion, influence, nudge, or coercion (PINC) 2013 PERSONAL AND UBIQUITOUS COMPUTING, Journal article P Eslambolchilar, Yvonne Rogers Theme issue on persuasion, influence, nudge, or coercion (PINC) 2013 Personal and Ubiquitous Computing, Journal article Yvonne Rogers , G Marsden Does he take sugar? Moving beyond the rhetoric of compassion 2013 Interactions, Journal article N Yuill, Yvonne Rogers , J Rick Pass the iPad: Collaborative creating and sharing in family groups 2013 Conference on Human Factors in Computing Systems - Proceedings, Journal article T Toscos, K Connelly, Yvonne Rogers Designing for positive health affect: Decoupling negative emotion and health monitoring technologies 2013 Conference name Pervasive Computing Technologies for Healthcare (PervasiveHealth), Conference paper (text), Venice Paul Marshall , A Antle, EVD Hoven, Yvonne Rogers Introduction to the special issue on the theory and practice of embodied interaction in HCI and interaction design 2013 ACM TRANSACTIONS ON COMPUTER-HUMAN INTERACTION, Journal article Yvonne Rogers , N Yuill, Paul Marshall Contrasting lab-based and in-the-wild studies for evaluating multi-user technologies 2013 Chapter der Linden J van, Yvonne Rogers , T Coughlan, A Adams, C Wilson, P Haya, E Martin, T Collins Evocative computingcreating meaningful lasting experiences in connecting with the past. 2013 Interact '13, Conference paper (text) A Crabtree, A Chamberlain, RE Grinter, M Jones, T Rodden, Yvonne Rogers Introduction to the special issue of The Turn to The Wild 2013 ACM Transactions on Computer-Human Interaction (TOCHI), Journal article M Obrist, PC Wright, K Kuutti, K Hk, Yvonne Rogers , PS Pyla, J-L Frechin Theory and practice in UX research: uneasy bedfellows? 2013 CHI Extended Abstracts, Conference paper (text) T Coughlan, TD Collins, A Adams, Yvonne Rogers , PA Haya, E Martn The conceptual framing, design and evaluation of device ecologies for collaborative activities 2012 International Journal of Human Computer Studies, Journal article Der Linden J Van, V Waights, Yvonne Rogers , C Taylor A blended design approach for pervasive healthcare: Bringing together users, experts and technology 2012 HEALTH INFORMATICS JOURNAL, Journal article A Chamberlain, A Crabtree, T Rodden, M Jones, Yvonne Rogers Research in the wild: understanding 'in the wild' approaches to design and development. 2012 Conference on Designing Interactive Systems, Conference paper (text) R Comber, E Ganglbauer, JHJ Choi, J Hoonhout, Yvonne Rogers , K O'Hara, J Maitland Food and interaction design: Designing for food in everyday life 2012 Conference on Human Factors in Computing Systems - Proceedings, Journal article Rose Johnson , Yvonne Rogers , der Linden J van, N Bianchi-Berthouze Being in the thick of in-the-wild studies: the challenges and insights or researcher participation. 2012 CHI12 Proceedings., Conference paper (text) Rose Johnson , Yvonne Rogers , der Linden J van, N Bianchi-Berthouze Being in the thick of in-the-wild studies: The challenges and insights of researcher participation 2012 Proceedings of the 2012 ACM annual conference on Human Factors in Computing Systems (CHI'12), Conference paper (text) T Toscos, K Connelly, Yvonne Rogers Best Intentions: Health Monitoring Technology and Children. 2012 CHI12 Proceedings., Conference paper (text) Johannes Schning , Yvonne Rogers , A Krger Digitally enhanced food 2012 IEEE Pervasive Computing, Journal article Duncan Brumby , Anna Cox , Rose Johnson , Yvonne Rogers Embedding the CHI Student Design Competition into Project-Based Learning 2012 Conference paper (text), CHI 2012 Workshop: A Contextualised Curriculum for HCI K Bachour, Jon Bird , V Kalnikait, Yvonne Rogers , N Villar, Stefan Kreitmayer Fast and frugal shopping challenge. 2012 CHI Extended Abstracts, Conference paper (text) JVD Linden, T Braun, Yvonne Rogers , M Oshodi, A Spiers, D McGoran, R Cronin, P O'Dowd Haptic lotus: a theatre experience for blind and sighted audiences. 2012 CHI Extended Abstracts, Conference paper (text) Yvonne Rogers HCI Theory: Classical, Modern and Contemporary. 2012 Book Johannes Schning , Yvonne Rogers , Jon Bird , L Capra, JA McCann, D Prendergast, C Sheridan Intel Collaborative Research Institute - Sustainable Connected Cities. 2012 AmI, Conference paper (text) N Yuill, Yvonne Rogers Mechanisms for Collaboration: A Design and Evaluation Framework for Multi-User Interfaces 2012 Transactions of Human-Computer Interaction (TOCHI), Journal article T Coughlan, TD Collins, A Adams, Yvonne Rogers , PA Haya, E Martn The conceptual framing, design and evaluation of device ecologies for collaborative activities 2012 International Journal of Human Computer Studies, Journal article A Adams, T Coughlan, Yvonne Rogers , T Collins, S Davies, C Blake, J Lea Live linking of fieldwork to the laboratory increases students inquiry based reflections 2011 Connecting Computer-Supported Collaborative Learning to Policy and Practice: CSCL 2011 Conf. Proc. - Short Papers and Posters, 9th International Computer-Supported Collaborative Learning Conf., Journal article A Mathew, Yvonne Rogers , P Lloyd Post-it Note Art: Evaluating Public Creativity at a User Generated Art Installation. 2011 ACM Proceedings of Creativity and Cognition 2011, Conference paper (text), Atlanta, Georgia. JVD Linden, Yvonne Rogers , C Taylor, M Dalgleish Technology inspired design for pervasive healthcare. 2011 PervasiveHealth, Conference paper (text) T Toscos, K Connelly, Yvonne Rogers "What's your number?": A survey of how parents and teens cope with diabetes in the context of technology support. 2011 PervasiveHealth, Conference paper (text) DJ Patterson, Yvonne Rogers , X Xie, J Landay, Y Shi UbiComp'11 - Proceedings of the 2011 ACM Conference on Ubiquitous Computing: Foreword 2011 UbiComp'11 - Proceedings of the 2011 ACM Conference on Ubiquitous Computing, Journal article der Linden J van, Yvonne Rogers , M Oshodi, A Spiers, D Mcgoran, R Cronin, P O'Dowd Haptic Reassurance in the Pitch Black for an Immersive Theatre Experience. 2011 ACM Ubicomp Conference, Conference paper (text), Beijing V Kalnikait?, Yvonne Rogers , Jon Bird , K Bachour, N Villar, S Payne, PM Todd, Johannes Schning , A Krger, Stefan Kreitmayer How to Nudge In Situ: Designing Lambent Devices to Deliver Information Salience in Supermarkets. 2011 ACM Ubicomp Conference, Conference paper (text), Beijing A Adams, T Coughlan, J Lea, Yvonne Rogers , S-J Davies, TD Collins Designing interconnected distributed resources for collaborative inquiry based science education. 2011 JCDL, Conference paper (text) E Tse, Johannes Schning , J Huber, L Marentette, R Beckwith, Yvonne Rogers , M Mhlhuser Child computer interaction: workshop on UI technologies and educational pedagogy. 2011 CHI Extended Abstracts, Conference paper (text) A Druin, G Knell, E Soloway, DM Russell, ED Mynatt, Yvonne Rogers The future of child-computer interaction. 2011 CHI Extended Abstracts, Conference paper (text) T Coughlan, A Adams, TD Collins, S-J Davies, J Lea, Yvonne Rogers Working with 'mission control' in scientific fieldwork: supporting interactions between in situ and distanced collaborators. 2011 CSCW, Conference paper (text) der Lindon J van, Rose Johnson , Jon Bird , Yvonne Rogers , E Schoonderwaldt Buzzing to Play: Lessons learned from an in the wild study of real-time vibrotactile feedback. 2011 Proceedings of the 29th International Conference on Human Factors in Computing Systems., Conference paper (text), ACM CHI 2011 der Linden J van, Rose Johnson , Jon Bird , Yvonne Rogers , E Schoonderwaldt Buzzing to Play: Lessons learned from an in the wild study of real-time vibrotactile feedback. 2011 ACM CHI 2011, Conference paper (text) N Otero, M Milrad, Yvonne Rogers , AJ Santos, M Verssimo, N Torres Challenges in designing seamless-learning scenarios: affective and emotional effects on external representations. 2011 International Journal of Mobile Learning and Organisation., Journal article Stefan Kreitmayer , S Peake, R Laney, Yvonne Rogers Designing a large multi-player simulation game to encourage reflection and critical debate 2011 Proceedings of the European Conference on Games-based Learning, Conference paper (text) T Coughlan, A Adams, Yvonne Rogers , S-J Davies Enabling live dialogic and collaborative learning between field and indoor contexts. 2011 BCS HCI, Conference paper (text) C Mancini, Yvonne Rogers , K Thomas, NA Joinson, BA Price, AK Bandaram, L Jedrzejczyk, B Nuseibeh In the Best Families: Tracking and Relationships. 2011 ACM CHI 2011, Conference paper (text) Yvonne Rogers , H Sharp, J Preece Interaction Design: Beyond Human-Computer Interaction. 2011 Book Yvonne Rogers Interaction design gone wild: striving for wild theory 2011 Interactions, Journal article H Clark, D Kirsh, S Goldin-Meadow, Yvonne Rogers Interactivity and Thought. 2011 Proceedings of Cognitive Science Conference11., Conference paper (text) P Todd, Yvonne Rogers , S Payne Nudging the trolley in the supermarket: How to deliver the right information to shoppers. 2011 International Journal on Mobile HCI (IJMHCI), Journal article Rose Johnson , JVD Linden, Yvonne Rogers Real-time feedback for learning the violin. 2011 BCS HCI, Conference paper (text) Paul Marshall , R Morris, Yvonne Rogers , Stefan Kreitmayer , M Davies Rethinking 'multi-user': an in-the-wild study of how groups approach a walk-up-and-use tabletop interface. 2011 CHI '11 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Conference paper (text) Jon Bird , V Kalnikait, Yvonne Rogers The augmented shopping trolley: An ambient display to provide shoppers with non-obvious product information 2011 CEUR Workshop Proceedings, Journal article Paul Marshall , Yvonne Rogers , N Pantidi Using F-formations to analyse spatial patterns of interaction in physical environments 2011 CSCW '11 Proceedings of the ACM 2011 conference on Computer supported cooperative work, Conference paper (text) PM Todd, Yvonne Rogers , SJ Payne Nudging the cart in the supermarket: How much is enough information for food shoppers? 2010 CEUR Workshop Proceedings, Journal article BA Price, C Mancini, Yvonne Rogers , AK Bandara, T Coe, AN Joinson, JA Lay, B Nuseibeh ContraVision: presenting contrasting visions of future technology. 2010 CHI Extended Abstracts, Conference paper (text) E Tse, Johannes Schning , Yvonne Rogers , C Shen, G Morrison Next generation of HCI and education: workshop on UI technologies and educational pedagogy. 2010 CHI Extended Abstracts, Conference paper (text) C Mancini, Yvonne Rogers , AK Bandara, T Coe, L Jedrzejczyk, AN Joinson, BA Price, K Thomas, B Nuseibeh ContraVision: Exploring Users' Reactions to Futuristic Technology. 2010 Proceedings of CHI 2010, Conference paper (text), Atlanta, Georgia, USA. Yvonne Rogers , W Hazlewood, Paul Marshall , NS Dalton, S Hertrich Ambient influence: can twinkly lights lure and abstract representations trigger behavioral change? 2010 Ubicomp '10 Proceedings of the 12th ACM international conference on Ubiquitous computing, Conference paper (text), Copenhagen, Denmark W Hazlewood, NS Dalton, Paul Marshall , Yvonne Rogers , S Hertrich Bricolage and consultation: a case study to inform the development of large-scale prototypes for HCI research 2010 Designing Interactive Systems (DIS 10), Conference paper (text), Aarhus, Denmark WR Hazlewood, NS Dalton, Paul Marshall , Yvonne Rogers , S Hertrich Bricolage and consultation: addressing new design challenges when building large-scale installations. 2010 DIS '10 Proceedings of the 8th ACM Conference on Designing Interactive Systems, Conference paper (text) T Coughlan, A Adams, Yvonne Rogers Designing for balance: Out There and In Here. 2010 BCS HCI, Conference paper (text) Yvonne Rogers , K Connelly, W Hazlewood, W Tedesco Enhancing learning: a study of how mobile devices can facilitate sensemaking. 2010 Personal and Ubiquitous Computing., Journal article Rose Johnson , der Linden J van, Yvonne Rogers MusicJacket: The efficacy of real-time vibrotactile feedback for learning to play the violin. 2010 Extended Abstracts of CHI 2010 (Work in Progress paper)., Journal article Yvonne Rogers , J Rick Performance optimizations of virtual keyboards for stroke-based text entry on a touch-based tabletop 2010 Proceedings of UIST 2010., Journal article Rose Johnson , der Linden J van, Yvonne Rogers To buzz or not to buzz: Improving awareness of posture through vibrotactile feedback. 2010 Whole Body Interaction Workshop at CHI 2010., Journal article Yvonne Rogers , S Price How mobile technologies are changing the way children learn 2009 Journal article J Rick, A Harris, Paul Marshall , R Fleck, N Yuill, Yvonne Rogers Children designing together on a multi-touch tabletop: An analysis of spatial orientation and user interactions 2009 Proceedings of IDC 2009 - The 8th International Conference on Interaction Design and Children, Conference paper (text) A Druin, D Cavallo, C Fabian, BB Bederson, G Revelle, Yvonne Rogers , J Gray Mobile technologies for the world's children. 2009 CHI Extended Abstracts, Conference paper (text) Yvonne Rogers , S Price How mobile technologies are changing the way children learn 2009 Chapter, San Francisco R Fleck, Yvonne Rogers , N Yuill, Paul Marshall , A Carr, J Rick, V Bonnett Actions speak loudly with words: unpacking collaboration around the tabletop 2009 ITS '09, Conference paper (text) R Fleck, Yvonne Rogers , N Yuill, Paul Marshall , A Carr, J Rick, V Bonnett Actions speak loudly with words: unpacking collaboration around the table 2009 Interactive Tabletops and Surfaces (ITS 09), Conference paper (text), Banff, Canada A Harris, J Rick, V Bonnett, N Yuill, R Fleck, Paul Marshall , Yvonne Rogers Around the Table: Are multiple-touch surfaces better than single-touch for children's collaborative interactions? 2009 CSCL'09 Proceedings of the 9th international conference on Computer supported collaborative learning - Volume 1, Conference paper (text) A Harris, J Rick, V Bonnett, N Yuill, R Fleck, Paul Marshall , Yvonne Rogers Around the table: are multiple-touch surfaces better than single-touch for childrens collaborative interactions? 2009 Computer-Supported Collaborative Learning (CSCL 2009), Conference paper (text), Rhodes D Kern, Paul Marshall , Eva Hornecker , Yvonne Rogers , A Schmidt Enhancing Navigation Information with Tactile Output Embedded into the Steering Wheel. 2009 Pervasive 2009, Conference paper (text) D Kern, Paul Marshall , Eva Hornecker , Yvonne Rogers , A Schmidt Enhancing navigation information with tactile output embedded into the steering wheel. 2009 Pervasive Computing 2009, Conference paper (text), Nara, Japan Yvonne Rogers , Y Lim, W Hazlewood, Paul Marshall Equal opportunities: do shareable interfaces promote more group participation than single user displays? 2009 Human-Computer Interaction, Journal article Paul Marshall , R Fleck, A Harris, J Rick, Eva Hornecker , Yvonne Rogers , N Yuill, NS Dalton Fighting for control: children's embodied interactions when using physical and digital representations 2009 CHI '09 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Conference paper (text) C Mancini, K Thomas, Yvonne Rogers , BA Price, L Jedrzejczyk, AK Bandara, AN Joinson, B Nuseibeh From spaces to places: emerging contexts in mobile privacy. 2009 Proceedings of the 11th international Conference on Ubiquitous Computing (Ubicomp '09)., Conference paper (text), New York N Pantidi, Yvonne Rogers , H Robinson Is the Writing on the Wall for Tabletops? 2009 Proceedings of Interact 2009., Conference paper (text), Uppsala J Rick, Yvonne Rogers , C Haig, N Yuill Learning by Doing with Shareable Interfaces 2009 Children, Youth & Environments, Journal article Jon Bird , Paul Marshall , Yvonne Rogers Low-Fi Skin Vision: a case study in rapid prototyping a sensory substitution system 2009 British HCI Group Annual Conference on People and Computers (BCS HCI, 2009), Conference paper (text), Cambridge, UK S Holland, Paul Marshall , Jon Bird , Yvonne Rogers Prototyping Whole Body Navigation of Harmony Space 2009 Workshop on Whole Body Interaction, CHI 2009, Conference paper (text), Boston Abigail Sellen , Yvonne Rogers , R Harper, T Rodden Reflecting human values in the digital age. 2009 Communications of the ACM, Journal article S Holland, Paul Marshall , Jon Bird , SN Dalton, R Morris, N Pantidi, Yvonne Rogers , A Clark Running up Blueberry Hill: prototyping whole body interaction in Harmony Space 2009 TEI '09 Proceedings of the 3rd International Conference on Tangible and Embedded Interaction, Conference paper (text) K Thomas, C Mancini, L Jedrzejczyk, AK Bandara, AN Joinson, BA Price, Yvonne Rogers , B Nuseibeh Studying location privacy in mobile applications: 'predator vs. prey' probes. 2009 SOUPS, Conference paper (text) Yvonne Rogers The Changing Face of Human-Computer Interaction in the Age of Ubiquitous Computing. 2009 USAB09, Conference paper (text) J Rick, Yvonne Rogers From DigiQuilt to DigiTile: Adapting educational technology to a multi-touch table. 2008 Tabletop, Conference paper (text) Yvonne Rogers , S Price The role of mobile devices in facilitating collaborative inquiry 'in situ' 2008 Research and Practice in Technology Enhanced Learning, Journal article Yvonne Rogers A comparison of how animation has been used to support formal, informal and playful learning. 2008 Learning with Animation, Journal article, Cambridge Y Lim, Yvonne Rogers A Framework and an Environment for Collaborative Analysis of User Experience. 2008 International Journal of Human-Computer Interaction, Journal article R Morris, Paul Marshall , Yvonne Rogers Analysing Fluid Interaction across Multiple Displays. 2008 Workshop on designing multi-touch interaction techniques for coupled public and private displays (PPD 08) at AVI 2008, Conference paper (text), Naples, Italy R Harper, T Rodden, Yvonne Rogers , Abigail Sellen Being Human: HCI in the Year 2020. 2008 Book Yvonne Rogers Beyond comprehension: Using animations to foster interpretation and reflection. 2008 Chapter, Cambridge N Pantidi, H Robinson, Yvonne Rogers Can Technology-rich Spaces Support Multiple Uses? 2008 HCI 2008, Conference paper (text), Liverpool Eva Hornecker , Paul Marshall , N Dalton, Yvonne Rogers Collaboration and interference: awareness with mice or touch input 2008 CSCW '08 Proceedings of the 2008 ACM conference on Computer supported cooperative work, Conference paper (text) Jon Bird , S Holland, Paul Marshall , Yvonne Rogers , A Clark Feel the Force: Using Tactile Technologies to Investigate the Extended Mind. 2008 Devices that Alter Perception Workshop (DAP08), Conference paper (text) J Rick, Yvonne Rogers From DigiQuilt to DigiTile: Adapting Educational Technology to a Multi-Touch Table. 2008 IEEE Tabletops and Interactive Surfaces (Tabletop 08), Conference paper (text), Amsterdam Paul Marshall , Eva Hornecker , Yvonne Rogers From entry to access: how shareability comes about 2008 DPPI '07 Proceedings of the 2007 conference on Designing pleasurable products and interfaces, Conference paper (text) Yvonne Rogers Using External Visualizations to Extend and Integrate Learning in Mobile and Classroom Settings. 2008 Chapter Yvonne Rogers 57 varieties of Activity Theory 2008 Interacting With Computers, Journal article Yvonne Rogers When the External Entered HCI: Designing Effective Representations. 2008 Chapter Paul Marshall , Eva Hornecker , R Morris, N Dalton, Yvonne Rogers When the fingers do the talking: a study of group participation with varying constraints to a tabletop interface 2008 Proceedings of IEEE Tabletops and Interactive Surfaces (Tabletop 08), Conference paper (text) Paul Marshall , Eva Hornecker , R Morris, NS Dalton, Yvonne Rogers When the fingers do the talking: A study of group participation with varying constraints to a tabletop interface. 2008 Tabletop, Conference paper (text) Paul Marshall , Yvonne Rogers , Eva Hornecker Are Tangible Interfaces Really Any Better Than Other Kinds of Interfaces? 2007 Tangible Interfaces in Context and Theory, CHI'07, Conference paper (text), San Jose A Olsen, Yvonne Rogers , H Sharp The Snap Method. 2007 Beyond Current User Research: Designing Methods for New Users, Technologies, and Design Processes, CHI'07, Conference paper (text), San Jose Yvonne Rogers Do tangible interfaces enhance learning? 2007 Tangible and Embedded interaction (TEI'07)., Conference paper (text), Baton Rouge, Louisiana Yvonne Rogers , A Dnser, Eva Hornecker An Observational Study of Children Interacting with an Augmented Story Book. 2007 Edutainment 2007, Conference paper (text) Yvonne Rogers , H Sharp, J Preece Interaction Design: Beyond Human Computer Interaction. 2007 Book Yvonne Rogers Reflections on the EPSRC-funded Equator Interdisciplinary Research Collaboration (IRC)2001-2006 2007 Interfaces, Journal article Yvonne Rogers , K Connelly, L Tedesco, W Hazlewood, A Kurtz, B Hall, J Hursey, T Toscos Why it's worth the hassle: The value of in-situ studies when designing UbiComp 2007 UbiComp 2007, Conference paper (text), Berlin Heidelberg O Zuckerman, B Ullmer, LE Holmquist, H Ishii, GW Fitzmaurice, Yvonne Rogers , WE Mackay, T Rodden The state of tangible interfaces: projects, studies, and open issues. 2006 CHI Extended Abstracts, Conference paper (text) K Siek, K Connelly, Yvonne Rogers , P Rohwer, D Lambert, JL Welch When Do We Eat? An Evaluation of Food Items Input into an Electronic Monitoring Application. 2006 First International Conference on Pervasive Computing Technologies for Healthcare (Pervasive Health), Conference paper (text), Innsbruck, Austria. Yvonne Rogers , Y Lim, W Hazlewood Extending Tabletops to Support Flexible Collaborative Interactions. 2006 Tabletop 2006, IEEE, Conference paper (text), Adelaide, Australia Yvonne Rogers , H Muller A framework for designing sensor-based interactions to promote exploration and reflection. 2006 International Journal of Human-Computer Studies, Journal article Yvonne Rogers An Introduction to Distributed Cognition and Communication. 2006 Chapter, Oxford T Church, W Hazlewood, Yvonne Rogers Around the Table: Studies in Co-located Collaboration. 2006 Austrian Computer Society (OCG), Conference paper (text) Yvonne Rogers Distributed Cognition and Communication. 2006 Chapter, Oxford KH Connelly, A Faber, Yvonne Rogers , K Siek, T Toscos Mobile applications that empower people to monitor their personal health. 2006 Elektrotechnik und Informationstechnik, Journal article Yvonne Rogers Moving on from Weiser's vision of of calm computing: engaging UbiComp experiences 2006 LNCS 4206, Conference paper (text) KA Siek, KH Connelly, Yvonne Rogers Pride and prejudice: learning how chronically ill people think about food. 2006 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI '06, Conference paper (text), New York Yvonne Rogers , S Price Using Ubiquitous Computing to Extend and Enhance Learning Experiences. 2006 Chapter N Otero, Yvonne Rogers , BD Boulay Learning Interaction Patterns Using Diagrams Varying in Level and Type of Interactivity. 2005 AAAI Spring Symposium: Reasoning with Mental and External Diagrams: Computational Modeling and Spatial Assistance, Conference paper (text) Yvonne Rogers Book Review: Computer-Supported Collaboration with Applications to Software Development, Fadi P. Deek and James A. M. McHugh, The Kluwer International Series in Engineering and Computer Science, 2003, 264 pp, ISBN 1-4020-7385-2. 2005 Computer Supported Cooperative Work (CSCW), Journal article KH Connelly, K Siek, Yvonne Rogers , J Jones, M Kraus, S Perkins, L Trevino, J Welch Designing a PDA Interface for Dialysis Patients to Monitor Diet in their Everyday Life. 2005 HCI International 2005, Conference paper (text) M Scaife, Yvonne Rogers External cognition, innovative technologies, and effective learning 2005 Cognition, Education and Communication Technology, Conference paper (text) K Siek, Yvonne Rogers , K Connelly Fat finger worries: How older and younger users physically interact with PDAs. 2005 INTERACT'05, Conference paper (text), Rome Yvonne Rogers , M Scaife, A Rizzo Interdisciplinarity: an Emergent or Engineered Process? 2005 Interdisciplinary Collaboration: An Emerging Cognitive Science., Journal article S Izadi, Yvonne Rogers , H Brignull, T Rodden, G Fitzpatrick, S Lindley The iterative design and study of a large display for shared and sociable spaces. 2005 ACM., Conference paper (text) Yvonne Rogers , S Price, C Randell, DS Fraser, MJ Weal, G Fitzpatrick Ubi-learning integrates indoor and outdoor experiences. 2005 Communications of the ACM, Journal article Yvonne Rogers , S Price, C Randell, D Stanton-Fraser, M Weal, G Fitzpatrick Ubi-learning: Integrating outdoor and indoor learning experiences. 2005 CACM, Journal article Yvonne Rogers , SE Lindley Collaborating around vertical and horizontal large interactive displays: which way is best? 2004 Interacting with Computers, Journal article H Smith, G Fitzpatrick, Yvonne Rogers Eliciting reactive and reflective feedback for a social communication tool: a multi session approach. 2004 Designing Interactive Systems (DIS) International Conference, Conference paper (text), New York S Price, Yvonne Rogers Let's get physical: The learning benefits of interacting in digitally augmented physical spaces. 2004 Computers and Education, Journal article C Randell, S Price, Yvonne Rogers , EC Harris, G Fitzpatrick The Ambient Horn: designing a novel audio-based learning experience. 2004 Personal and Ubiquitous Computing, Journal article Yvonne Rogers , S Price, G Fitzpatrick, R Fleck, E Harris, C Randell, H Muller, C O'Malley, D Stanton, M Thompson Ambient wood: designing new forms of digital augmentation for learning outdoors 2004 Conference paper (text), New York Yvonne Rogers , S Lindley Collaborating around vertical and horizontal displays: which way is best? 2004 Interacting With Computers, Journal article J Halloran, G Fitzpatrick, Yvonne Rogers , Paul Marshall Does it matter if you don't know who's talking? Multiplayer gaming with Voiceover IP 2004 ACM CHI Conference on Human Factors in Computing Systems (CHI 2004), Conference paper (text) Yvonne Rogers , S Price Extending and Augmenting Scientific Enquiry through Pervasive Learning Environments 2004 Children Youth and Environments, Journal article Yvonne Rogers , W Hazlewood, E Blevis, Y Lim Finger talk: collaborative decision-making using talk and fingertip interaction around a tabletop display 2004 CHI'2004, ACM, Conference paper (text) E Harris, G Fitzpatrick, Yvonne Rogers , S Price, T Phelps, C Randell From Snark to Park: Lessons learnt moving pervasive experiences from indoors to outdoors 2004 Conference paper (text), Dunedin S Price, Yvonne Rogers Let's get physical: the learning benefits of interacting in digitally augmented physical spaces. 2004 Journal of Computers and Education., Journal article Yvonne Rogers , S Price New forms of technology-mediated learning. 2004 A Learning Zone of One's Own, Journal article Yvonne Rogers New Theoretical approaches for Human-Computer Interaction. 2004 Annual Review of Information, Science and Technology, Journal article Paul Marshall , Yvonne Rogers , M Scaife PUPPET: Playing and learning in a virtual world 2004 International Journal of Continuing Engineering Education and Life-Long Learning, Journal article C Randell, S Price, Yvonne Rogers , E Harris, G Fitzpatrick The Ambient Horn: designing a novel audio-based learning experience 2004 Personal and Ubiquitous Computing, Journal article H Brignull, S Izadi, G Fitzpatrick, Yvonne Rogers , T Rodden The Introduction of a Shared Interactive Surface into a Communal Space. 2004 Conference on Computer Supported Cooperative Work, Conference paper (text), Chicago, USA J Halloran, Yvonne Rogers , T Rodden, I Taylor Creating new user experiences to enhance collaboration. 2003 INTERACT'03, Conference paper (text), Zurich Yvonne Rogers , H Brignull Computational offloading: Supporting distributed team working through visually augmenting verbal communication. 2003 Cognitive Science Society Conference, Conference paper (text), Boston S Price, Yvonne Rogers , M Scaife, D Stanton, H Neale Using "tangibles" to promote novel forms of playful learning 2003 Interacting with Computers, Journal article S Price, Yvonne Rogers , D Stanton-Fraser, H Smith A New Conceptual Framework for CSCL: Supporting Diverse Forms of Reflection through Multiple Interactions 2003 Conference paper (text) C Randell, T Phelps, Yvonne Rogers Ambient Wood: Demonstration of a digitally enhanced field trip for school children. 2003 Adjunct Proc. UbiComp 2003, Conference paper (text) Paul Marshall , S Price, Yvonne Rogers Conceptualising tangibles to support learning 2003 Conference paper (text), New York Yvonne Rogers , T Rodden Configuring spaces and surfaces to support collaborative interactions 2003 Public and Situated Displays, Journal article T Rodden, Yvonne Rogers , J Halloran, I Taylor Designing novel interactional workspaces to support face-to-face consultations. 2003 ACM, Conference paper (text) S Izadi, H Brignull, T Rodden, Yvonne Rogers , M Underwood Dynamo: A public interactive surface supporting the cooperative sharing and exchange of media. 2003 Proc. UIST ACM, Conference paper (text) H Brignull, Yvonne Rogers Enticing people to interact with large public displays in public spaces. 2003 INTERACT'03, Conference paper (text), Zurich J Halloran, Yvonne Rogers , G Fitzpatrick From text to talk: multiplayer games and voiceover IP. 2003 1st International Digital Games Research Conference, Conference paper (text) B Cronin, Yvonne Rogers From Victorian visiting card to vCard: The evolution of a communicative genre 2003 Journal of Information Science, Journal article Yvonne Rogers , M Scaife, F Aldrich, S Price Improving children's understanding of formalisms through interacting with multimedia. 2003 Report H Smith, Yvonne Rogers , M Brady Managing one's social network: Does age make a difference? 2003 INTERACT 2003, Conference paper (text), Zurich H Smith, Yvonne Rogers , M Underwood Managing personal and work email in the same box: Overcoming the tensions through new metaphors. 2003 HOIT 2003, Conference paper (text), Irvine, California D Wilde, E Harris, Yvonne Rogers , C Randell The Periscope: Supporting a Computer Enhanced Field Trips for Children. 2003 Personal and Ubiquitous Computing Journal, Journal article Yvonne Rogers , M Scaife, S Gabrielli, E Harris, H Smith A Conceptual Framework for Mixed Reality Environments: Designing Novel Learning Activities for Young Children. 2002 Presence, Journal article C Randell, I MacColl, H Muller, Yvonne Rogers Exploring the Potential of Ultrasonic Position Measurement as a Research Tool. 2002 First European Workshop on Location Based Services, Conference paper (text), Savoy Place, London WC2R 0BL S Price, Yvonne Rogers , M Scaife, D Stanton, H Neale Using Tangibles to Support New Ways of Playing and Learning 2002 Proc of Interaction Design for Children Workshop 2002., Conference paper (text), Eindhoven, The Netherlands M Scaife, J Halloran, Yvonne Rogers Let's work together: supporting two-party collaborations with new forms of shared interactive representations. 2002 COOP'2002, Conference paper (text), The Netherlands Yvonne Rogers Designing Dynamic Interactive Visualisations to Support Collaboration and Cognition 2002 First International Symposium on Collaborative Information Visualization Environments, IV 2002, Conference paper (text), London L Masterman, Yvonne Rogers A framework for designing interactive multimedia to scaffold young children's understanding of historical time. 2002 Instructional Science, Journal article Yvonne Rogers , H Sharp, J Preece Interaction Design: Beyond Human Computer Interaction. 2002 Book Paul Marshall , Yvonne Rogers , M Scaife PUPPET: a virtual environment for children to act and direct interactive narratives 2002 Proceedings of the 2nd international workshop on narrative and interactive learning environments, Conference paper (text) J Halloran, Yvonne Rogers , M Scaife Taking the No out of Lotus Notes: Activity Theory, groupware and student groupwork. 2002 Computer Supported Collaborative Learning 2002, Conference paper (text), Denver Paul Marshall , Yvonne Rogers , M Scaife The value of a virtual environment for learning about narrative 2002 ACM SIGGROUP Bulletin, Journal article Yvonne Rogers , M Scaife, E Harris, T Phelps, S Price, H Smith, H Muller, C Randell, A Moss, I Taylor Things aren't what they seem to be: Innovation through Technology Inspiration 2002 Conference paper (text), New York N Otero, Yvonne Rogers , Boulay B du Is interactivity a good thing? Assessing its benefits for learning. 2001 HCI, Conference paper (text), New Jersey: M Scaife, Yvonne Rogers , J Halloran eSpace: integrating novel displays and devices for augmenting collaborative transactions. 2001 Journal article S Gabrielli, E Harris, Yvonne Rogers , M Scaife, H Smith How many ways can you mix colour? Young children's explorations of mixed reality environments. 2001 CIRCUS 2001, Conference paper (text) M Scaife, Yvonne Rogers Informing the design of a virtual environment to support learning in children. 2001 International Journal of Human-Computer Studies, Journal article S Gabrielli, Yvonne Rogers , M Scaife Young Children's Spatial Representations Developed through Exploration of a Desktop Virtual Reality Scene 2000 Education and Information Technologies, Journal article A Light, Yvonne Rogers Conversation as Publishing: the Role of News Forums on the Web. 1999 Journal of Computer-Mediated Communication, Journal article N Navarro-Prieto, M Scaife, Yvonne Rogers Cognitive strategies in web searching. 1999 5th Conference on Human Factors and the Web, Conference paper (text), Maryland, USA. A Light, Yvonne Rogers Conversation as Publishing: the role of news forums on the Web. 1999 Journal of Computer-Mediated Communication, Journal article Yvonne Rogers Instilling Interdisciplinarity: HCI from the perspective of cognitive science. 1999 SIGCHI Bulletin, Journal article S Gabrielli, Yvonne Rogers , M Scaife Visual Perspective-taking and young children's development of functional spatial representation in virtual environments. 1999 Cognitive Science, Conference paper (text) Yvonne Rogers What is Different about Interactive Graphical Representations? 1999 Learning and Instruction, Journal article F Aldrich, Yvonne Rogers , M Scaife Getting to grips with 'interactivity': helping teachers evaluate the educational value of CD-ROMs 1998 British Journal of Educational Technology, Journal article Yvonne Rogers , M Scaife How can interactive multimedia facilitate learning? 1998 Intelligence and Multimodality in Multimedia Interfaces: Research and Applications., Journal article, Menlo Park, CA M Scaife, Yvonne Rogers Kids as informants: telling us what we didn't know or confirming what we knew already? 1998 Chapter Yvonne Rogers Review: Cognition and Communication at Work, Engestrm, Y. and Middleton, D. (eds). 1997 Computer Supported Cooperative Work (CSCW), Journal article Yvonne Rogers A brief introduction to Distributed Cognition 1997 Journal article M Scaife, Yvonne Rogers , F Aldrich, M Davies Designing for or Designing With? Informant Design for Interactive Learning Environments. 1997 CHI'97: Proceedings of Human Factors in Computing Systems, Conference paper (text), New York V Bellotti, Yvonne Rogers From Web Press to Web Pressure: Multimedia Representations and Multimedia Publishing. 1997 CHI'97: Proceedings of Human Factors in Computing Systems, Conference paper (text), New York Yvonne Rogers , V Bellotti Grounding blue-sky research: How can ethnography help? 1997 Interactions, Journal article Yvonne Rogers Reconfiguring the social scientist: shifting from prescription to proactive research. 1997 Chapter Yvonne Rogers Systeme cooperatif et inegalites. L'integration d'une systeme de CSCW dans une agence de voyages. 1997 Reseaux, Journal article C Halverson, Yvonne Rogers An Introduction to Distributed Cognition: Analyzing the Organizational, the Social and the Cognitive for Designing and Implementing CSCW Applications (Tutorial). 1996 CSCW, Conference paper (text) M Scaife, Yvonne Rogers External cognition: how do graphical representations work? 1996 International Journal of Human-Computer Studies, Journal article Yvonne Rogers , F Aldrich In search of clickable Dons: Learning about HCI Through Interacting with Norman's CD-ROM. 1996 SIGCHI Bulletin, Journal article L Plowman, R Harper, Yvonne Rogers The Professional Stranger: A collection of papers on the role of the fieldworker in workplace studies for CSCW 1996 Working/Discussion Paper, University of Sussex, UK. Yvonne Rogers Coordinating and managing network technology. 1995 Personal Information Systems: Business Applications., Journal article, Cheltenham S Ross, M Ramage, Yvonne Rogers PETRA: Participatory evaluation through redesign and analysis. 1995 Interacting With Computers, Journal article L Plowman, Yvonne Rogers , M Ramage What are workplace studies for? 1995 ECSCW'95, Conference paper (text), Dordrecht Yvonne Rogers , J Ellis Distributed Cognition: an alternative framework for analysing and explaining collaborative working 1994 Journal of Information Technology, Journal article Yvonne Rogers Exploring obstacles: Integrating CSCW in evolving organisations. 1994 CSCW'94 Proceedings, Conference paper (text), NY J Preece, Yvonne Rogers , D Benyon, H Sharp, T Carey, S Holland Human Computer-Interaction. 1994 Book, Wokingham, Berks. Yvonne Rogers , L Bannon, G Button Rethinking theoretical frameworks for HCI: A Review. 1994 SIGCHI Bulletin, Journal article J Preece, Yvonne Rogers , D Benyon, G Davies A Guide to Usability. 1993 Book, Wokingham, Berks. Yvonne Rogers Are more minds better than one? Distributed problem solving in context. 1993 Proceedings of the British Psychological Society, Conference paper (text) Yvonne Rogers Common-sense reasoning and everyday activities. 1993 Pragmatics and Cognition, Journal article Yvonne Rogers Common-sense reasoning and everyday activities 1993 Pragmatics & Cognition, Journal article Yvonne Rogers Coordinating computer-mediated work 1993 Computer-Supported Cooperative Work, Journal article J Preece, Yvonne Rogers , D Benyon, G Davies A Guide to Usability. 1992 Book, Milton Keynes. Yvonne Rogers Ghosts in the network: distributed troubleshooting in a shared working environment. 1992 CSCW'92 Proceedings, Conference paper (text), New York Yvonne Rogers , A Rutherford, P Bibby Models in the Mind: Theory, Perspective and Application. 1992 Book, London. Yvonne Rogers Icon Design for the User Interface 1989 International Reviews of Ergonomics: 3, Journal article, London Yvonne Rogers Icons at the interface: their usefulness. 1989 Interacting with Computers., Journal article Yvonne Rogers User Requirements for Expert System Explanation: What, Why and When? 1988 People and Computers 1V. HCI'88 Conference, Conference paper (text), Cambridge Yvonne Rogers Dialogue Design Guidelines: Volume Two (No. D.189 1.11) 1988 Book, Harlow Yvonne Rogers , B Leiser, D Carr Evaluating metaphors at the user-system interface. 1988 EURINFO'88, Conference paper (text), Amsterdam Yvonne Rogers Pictorial communication of abstract verbs in relation to human-computerinteraction. 1987 British Journal of Psychology, Journal article Yvonne Rogers Evaluating the meaningfulness of icon sets to represent command operations. 1986 People and Computers: Designing for Usability II. HCI'86 Conference, Conference paper (text), Cambridge Yvonne Rogers Pictorial representations of abstract concepts relating to human-computer interaction. 1986 ACM SIGCHI, Journal article Yvonne Rogers The potential of the visual image at the interface. 1986 Current Psychological Research and Reviews, Journal article Yvonne Rogers Characteristics of computer command verbs. 1985 Contemporary Ergonomics, Conference paper (text), London Yvonne Rogers , DJ Oborne Some psychological attributes of some characteristics of computer command verbs. 1985 Behaviour and Information Technology, Journal article DJ Oborne, Yvonne Rogers Interaction of alcohol and caffeine on human reaction time. 1983 Aviation, Space and Environmental Medicine, Journal article S Ross, Yvonne Rogers , M Scaife An ethnographic study of the BBC: current work practices in archive programme production and current approaches to web broadcasting. N/A Thesis / Dissertation LI Meho, Yvonne Rogers Citation counting, citation ranking, and h -index of human-computer interaction researchers: A comparison of Scopus and Web of Science N/A Journal of the American Society for Information Science and Technology., Journal article R Rdle, H-C Jetter, Nicolai Marquardt , H Reiterer, Yvonne Rogers HuddleLamp: Spatially-Aware Mobile Displays for Ad-hoc Around-the-Table Collaboration N/A Poster, ITS 2014 - Extended Abstracts of the 2014 ACM International Conference on Interactive Tabletops and Surfaces. ACM. 435-438 Parent Departments University College London UCL Computer Science UCL Division of Psychology and Language Sciences Collaborations ICRI UCL Institute of Digital Health Global Disability Innovation Hub Connect with us About UCLIC Meet UCLIC people UCL Interaction Centre - University College London, 2nd floor 66-72 Gower Street, London, WC1E 6BT Tel: +44 (0) 20 3108 7050 2001-2019 UCLIC Disclaimer Freedom of Information Accessibility Privacy Cookies Contact Us Intranet Top diff --git a/src/data/compiled_bios/1085.txt b/src/data/compiled_bios/1085.txt new file mode 100644 index 0000000000..8432cf66e2 --- /dev/null +++ b/src/data/compiled_bios/1085.txt @@ -0,0 +1 @@ + Daniela Romano Role Senior Teaching Fellow Office GS2.09 Office Location University College London Dept. of Computer Science 66-72 Gower Street London WC1E 6EA United Kingdom Tel +44 (0)20 7679 TBA (Direct Dial) Internal TBA Fax +44 (0)20 7387 1397 Email D.Romano (at) cs.ucl.ac.uk Postal Address University College London Dept. of Computer Science Gower Street London WC1E 6BT United Kingdom Group UCLIC Personal Pages (None) diff --git a/src/data/compiled_bios/1086.txt b/src/data/compiled_bios/1086.txt new file mode 100644 index 0000000000..04ac6cbf9f --- /dev/null +++ b/src/data/compiled_bios/1086.txt @@ -0,0 +1 @@ + Federica Sarro Associate Professor Home CV Research Awards Publications Professional Services Teaching Contact Me Hello there! I am Federica Sarro and I work as an Associate Professor at University College London , Department of Computer Science . I am the head of the UCL App Store Analysis (UCLappA) group and the Director of the spin-off company Appredict Ldt . I am also member CREST research centre, where I have led for five years the predictive modelling theme of the DAASE EPSRC project, and of the UCL Systems and Software Engineering group. Prev Next 1 2 3 4 News Keynote at SBST'18 . Bronze Medal at HUMIES-GECCO2016 . Best Paper Award at ESEM'15 . Selected Publications: TOSEM'18 (Benchmarking) RE'18 (Predicting Apps' Success) IEEE TSE'17 (Hyper-heuristics) IST'17 (App Store Analysis) IEEE TSE'16 (Survey on App Store Analys for SE) FSE'16 (Causal Impact Analysis) ICSE'16 (CoGEE) ISSTA'16 (Mutation-Aware Fault Prediction) Book chapter on Search-Based Project Software Management Professional Services (some!) Steering Commitee Chair of SSBSE Program Chair at ICPC 2019 Editorial Board Member for the EMSE journal. SBSE Program Chair at GECCO 2018 & 2017 Program Chair of SSBSE 2016 Associate Editor for the IEEE Software blog. PhD Opportunities I am looking for motivated students interested in undertaking a PhD under my supervision: 1 fully funded PhD scholarship in Software Analytics & SBSE , 3 fully funded PhD scholarships for the EPIC project . If interested you can drop me a message at f dot sarro at ucl dot ac dot uk dot it. Take part to our survey! Do app stores affect traditional software engineering processes? Page Statistics Back to Top Short CV I received the master degree (summa cum laude) in Computer Science from the University of Salerno (Italy) in 2009. From May 2009 to January 2010 I have been a research fellow at the Department of Mathematics and Informatics of the University of Salerno, Italy. I got my Ph.D. at the same University in February 2013, defending a thesis on Search-Based Approaches for Software Development Effort Estimation. In December 2013, I was appointed as a Research Associate in CREST at University College London to work on the DAASE EPRSC project where I lead the Predictive Modelling theme. I was then promoted to Senior Research Associate at the same institution in February 2016 and to Principal Research Associate in 2017. From August 1st 2017, I have been appointed as a Senior Lecturer (Associate Professor) at University College London, Department of Computer Science. I am currently member of the CREST research centre and the SSE research group, head of the UCLAppA group, and director of the Appredict spin-out. My main research area are Empirical and Search-Based Software Engineering, with specific interest in the definition and the empirical evaluation of Search-Based approaches for predictive modelling in the context of Software Development Effort Estimation and Fault Prediction. I also have been working on Search-Based approaches for project management, functional metrics for sizing software products, Data Mining and Human-Computer Interaction. My recent research interests include mobile App Stores Analys and Automatic Program Repair. More about me CREST DAASE project UCLAppA group UCL-SSE Reading Group CREST Open Workshop Favourite Citations I love deadlines. I like the whooshing sound they make as they fly by. D. Adams I like being able to learn wherever and whenever I want. S. Singh When we lose the right to be different, we lose the privilege to be free. C. E. Hughes Back to Top Research Interest Search Based Software Engineering The term Search Based Software Engineering (SBSE) was first used by Harman and Jones in 2001 . The term "search" is used to refer to the metaheuristic search-based optimization techniques. Search Based Software Engineering seeks a fundamental shift of emphasis from solution construction to solution description. Rather than devoting human effort to the task of finding solutions, the search for solutions is automated as a search, guided by a fitness function, defined by the engineer to capture what is required rather than how it is to be constructed. In many ways, this approach to Software Engineering echoes, at the macro level of Software Engineering artifacts, the declarative programming approach, which applies at the code level; both seek to move attention from the question of "how" a solution is to be achieved to the question of "what" properties are desirable." From "Why the Virtual Nature of Software Makes it Ideal for Search Based Optimization", Mark Harman Empirical Software Engineering "Like physics, medicine, manufacturing, and many other disciplines, software engineering requires the same high level approach for evolving the knowledge of the discipline; the cycle of model building, experimentation and teaming. We cannot rely solely on observation followed by logical thought. Software engineering is a laboratory science. It involves an experimental component to test or disprove theories, to explore new domains. We must experiment with techniques to see how and when they really work, to understand their limits, and to understand how to improve them. We must learn from application and improve our understanding." From "The Role of Experimentation in Software Engineering: Past, Current, and Future", Victor R. Basili Predictive Analytics for Software Engineering Software has nowadays pervaded all aspects of our lives. This allows the production and collection of a large amount of information about people's behaviours and decisions. Predictive analytics is the practice of exploiting such information through intelligent systems able to identify patterns and predict future outcomes and trends. Applied to Software Engineering, predictive analytics can be used to understand software processes, products and customers in order to maximise product quality, users' satisfaction, and revenues. Various automated approaches based on data mining, artificial intelligence, machine or statistical learning have been proved to be useful to this end. Area of applications are, for example, project management , development effort estimation , defect prediction , software testing and app store analysis . by Federica Sarro Back to Top Awards Medal at HUMIES@GECCO 2016 Outstanding Reviewer IST 2016 Best Paper Award at ESEM 2015 . Best Paper Award at SSBSE 2015 Microsoft Azure Research Grant Google Diversity Award at ICST 2012 SIGAPP Student Travel Award at ACM-SAC 2012 Best Paper Award @ PROMISE 2010 Back to Top Publications International Journals A. A. Al-Subaihin, F. Sarro, S. Black, L. Capra, M. Harman, "App Store Effects on Software Engineering Practices", IEEE Journal of Transactions on Software Engineering, to appear. F. Sarro, A. Petrozziello, "Linear Programming as a Baseline for Software Effort Estimation", ACM Transactions on Software Engineering and Methodology (TOSEM), 2018, to appear. , Supplementary materials S. Abrahao, L. De Marco, F. Ferrucci, J. Gomez, C. Gravino, F. Sarro, "Definition and Evaluation of a COSMIC Measurement Procedure for Sizing Web Applications in a Model-Driven Development Environment", Journal of Information and Software Technology (IST), 2018, to appear. F. Sarro, F. Ferrucci, M. Harman, A. Manna, J. Ren, "Adaptive Multi-objective Evolutionary Algorithms for Overtime Planning in Software Projects", IEEE Journal of Transactions on Software Engineering (2017), on-line: http://ieeexplore.ieee.org/document/7814340/. F. Ferrucci, P. Salza, F. Sarro, "Using Hadoop MapReduce for Parallel Genetic Algorithms: A Comparison of the Global, Grid and Island Models", Evolutionary Computation Journal (2017), DOI: doi.org/10.1162/evco_a_00213 , J. Huang, J. W. Keung, F. Sarro, Y.-F. Li, Y.T. Yu, W.K. Chan and H. Sun, "Cross-validation based k nearest neighbor imputation for software quality datasets: An empirical study" , Journal of Systems and Software, DOI: 10.1016/j.jss.2017.07.012 , . A. Finkelstein, M. Harman, W. Martin, Y. Jia, F. Sarro, Y. Zhang, App Store Analysis: Relationships between Customer, Business and Technical Characteristics, Journal of Information and Software Technology (2017), to appear. W. Martin, F. Sarro, M. Harman, Y. Jia, Y. Zhang, "A Survey on App Store Analysis for Software Engineering" IEEE Journal of Transactions on Software Engineering (2016). W. B. Langdon, J. Dolado, F. Sarro, M. Harman, "Exact Mean Absolute Error of Baseline Predictor, MARP0:, Information and Software Technology (2016). S. Di Martino, F. Ferrucci, C. Gravino, F. Sarro, "Web Effort Estimation: Function Points Analysis vs. COSMIC", Journal of Information and Software Technology (2016), pp. 90-109, DOI : 10.1016/j.infsof.2015.12.001. J. Dolado, D. Rodriguez, W. B. Langdon, M. Harman, F. Sarro, "Evaluation of Estimation Models using the Minimum Interval of Equivalence", Journal of Applied Soft Computing (2016). A. Corazza, S. Di Martino, F. Ferrucci, C. Gravino, F. Sarro, E. Mendes, "Using Tabu Search to Configure Support Vector Regression for Effort Estimation", Empirical Software Engineering (2013), http://dx.doi.org/10.1007/s10664-011-9187-3. International Conferences F.Sarro, M. Harman, Y. Jia, Y. Zhang,"Customer Rating Reactions Can Be Predicted Purely Using App Features", in Proceedings of 26th IEEE International Requirements Engineering Conference August 20 - 24, 2018 - Banff, Alberta, Canada (RE 2018),to appear. Paper C. Gao, J. Zeng, F. Sarro, M. R. Lyu, I. King, "Exploring the Effects of Ad Schemes on the Performance Cost of Mobile Phones", in Proceedings of ASE workshop, A-Mobile 18, Montpellier, France,to appear. Paper F.Sarro, "Predictive Analytics for Software Testing" (Keynote paper), in Proceedings of the 11th International Workshop on Search-Based Software Testing (SBST 2018),to appear. Paper W. Martin, F. Sarro, M. Harman, "Causal Impact Analysis for App Releases in Google Play", in Proceedings of the 24th ACM SIGSOFT International Symposium on the Foundations of Software Engineering (FSE 2016), pp. 435-446. Paper F. Sarro, A. Petrozziello, M. Harman, "Multi-Objective Effort Estimation", in Proceedings of the 38th International Conference on Software Engineering (ICSE 2016), pp. 619-630. Paper Supplementary materials D. Bowes, T. Hall, M. Harman, Y.Jia, F. Sarro, F. Wu "Mutation-aware Fault Prediction", in Proceedings of the 25th International Symposium on Software Testing and Analysis, (ISSTA 2016), pp. 330-341 . Paper Supplementary materials A. A. Al-Subaihin, F. Sarro, S. Black, L. Capra, M. Harman, Y. Jia, Y. Zhang, "Clustering Mobile Apps Based on Mined Textual Descriptions", in Proceedings of the 10th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, (ESEM 2016), Article No. 38 . Paper P. Salza, F. Ferrucci, F. Sarro, "Develop, Deploy and Execute Parallel Genetic Algorithms in the Cloud", in Proceedings of the 2016 on Genetic and Evolutionary Computation Conference Companion, (GECCO 2016) , pp, 121-122. Paper P. Salza, F. Ferrucci, F. Sarro, "elephant56: Design and Implementation of a Parallel Genetic Algorithms Framework on Hadoop MapReduce", in Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO 2016), pp. 1315-1322. Paper A. A. Al-Subaihin, M. Harman, Y. Jia, W. Martin, F. Sarro, Y. Zhang, Mobile App and App Store Analysis, Testing and Optimisation, keynote paper at MobileSoft2016, pp. 243-244. Paper L. Minku, F. Sarro, E. Mendes, F. Ferrucci, "How to Make Best Use of Cross-Company Data for Web Effort Estimation?", (Best Paper Award) , in Proceedings of the 9th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM 2015), pp. 446-456 Paper F.Sarro, A. AlSubaihin, M. Harman, Y. Jia, W. Martin, Y. Zhang, "Feature Lifecycles as They Spread, Migrate, Remain and Die in App Stores", in Proceedings of the 23rd IEEE International Conference on Requirements Engineering (RE 2015), pp.76-85. Paper Talk W. Martin, M. Harman, Y. Jia, F. Sarro, Y. Zhang, "The App Sampling Problem for App Store Mining", in Proceedings of the 12th Working Conference on Mining Software Repositories (MSR 2015), pp. 123133. Paper Y. Zhang, M. Harman, Y. Jia and F. Sarro, "Inferring Test Models from Kates Bug Reports using Multi-objective Search", (Best Paper Award) , in Proceedings of the 6th International Symposium on Search-Based Software Engineering (SSBSE'15), pp.301-307. Paper A. Al-Subaihin, A. Finkelstein, M. Harman, Y. Jia, W. Martin, F. Sarro, Y. Zhang, "App store mining and analysis", in Proceedings of the 3rd International Workshop on Software Development Lifecycle for Mobile (DeMobile 2015). ACM, New York, NY, USA, 1-2. Paper A. Corazza, S. Di Martino, F. Ferrucci, C. Gravino, F. Sarro, "From Function Points to COSMIC - A Transfer Learning Approach for Effort Estimation", in Proceedings of the 16th International Conference on Product-Focused Software Process Improvement (PROFES 2015), pp. 251-267. Paper F. Ferrucci, C. Gravino, P. Salza, F. Sarro, "Investigating Functional and Code Size Measures for Mobile Applications: A Replicated Study", in Proceedings of the 16th International Conference on Product-Focused Software Process Improvement (PROFES 2015), pp. 271-287. Paper F. Ferrucci, C. Gravino, P. Salza, F. Sarro, "Investigating Functional and Code Size Measures for Mobile Applications", in Proceedings of theEuromicro Conference series on Software Engineering and Advanced Applications (SEAA'15), pp.365-368. Paper F. Ferrucci, T. Kechadi, P. Salza, F. Sarro, "A Parallel Genetic Algorithms Framework Based on Hadoop MapReduce", in Proceedings of the ACM SAC'15, pp. 1664-1667. Paper E. T. Barr, Y. Brun, P. Devanbu, M. Harman, and F. Sarro, "The Plastic Surgery Hypothesis", in Proceedings of the 22nd ACM SIGSOFT International Symposium on the Foundations of Software Engineering (FSE2014), pp. 306-317. Paper , Talk F. Ferrucci, C. Gravino, F. Sarro, "Exploiting Prior-phase Effort Data to Estimate the Effort for the Subsequent Phases: a Further Assessment", in Proceedings of the 10th International Conference on Predictive Models in Software Engineering, PROMISE2014, pp. 42-51. M. Harman, S. Islam, Y. Jia, L. Minku, F. Sarro, K. Srivisut, "Less is More: Temporal Fault Predictive Performance Over Multiple Hadoop Releases", in Proceedings of the 5th International Symposium on Search-Based Software Engineering (SSBSE 2014), pp. 240-246. Paper , Supplementary materials F. Ferrucci, C. Gravino, F. Sarro, "Conversion from IFPUG FPA to COSMIC: within- vs without-company equations", in Proceedings of the 40th Euromicro Conference on Software Engineering and Advanced Applications (SEAA 2014), pp. 293-300. E. Mendes, M. Kalinowski, D. Martins, F. Ferrucci, F. Sarro, Cross- vs. Within-Company Cost Estimation Studies Revisited: An Extended Systematic Review, in Proceedings of the EASE2014, pp. 129-138. F. Ferrucci, M. Harman, J. Ren, F. Sarro, "Not Going to Take this Anymore: Multi-Objective Overtime Planning for Software Engineering Projects", in Proceedings of the International Conference on Software Engineering (ICSE2013), pp- 462-471. Paper , Teaser video! F. Ferrucci, E. Mendes, F. Sarro, "Web Effort Estimation: the Value of Cross-company Data Set Compared to Single-company Data Set", in Proceedings of the PROMISE 2012, pp.29-38 L. De Marco, F. Ferrucci, C. Gravino, F. Sarro, S. Abrahao, J. Gomez, "Functional vs. Design Measures for Model-Driven Web Applications: A Case Study in the Context of Web Effort Estimation", in Proceedings of the International Workshop on Emerging Trends in Software Metrics (WETSoM 2012), pp.21-27, ISBN: 978-1-4673-1762-7. L. Di Geronimo, F. Ferrucci, A. Murolo, F. Sarro, "A Parallel Genetic Algorithm Based on Hadoop MapReduce for the Automatic Generation of JUnit Test Suites", in Proceedings of the 5th International Conference on Software Testing, Verification and Validation (ICST2012), Workshop on SBST, pp. 785-793. F. Sarro, S. Di Martino, F. Ferrucci, C. Gravino, "A Further Analysis on the Use of Genetic Algorithm to Configure Support Vector Machines for Inter-Release Fault Prediction", in Proceedings of the 27th Symposium On Applied Computing - SE track (ACM SAC 2012), pp.1215-1220. F. Sarro, F. Ferrucci, C. Gravino, "Single and Multi Objective Genetic Programming for Software Development Effort Estimation", in Proceedings of the 27th Symposium On Applied Computing - SE track (ACM SAC 2012), pp.1221-1226. G. Carullo, F. Ferrucci, F. Sarro, "Towards Improving Usability of Authentication Systems Using Smartphones for Logical and Physical Resource Access in a Single Sign-On Environment", in Proceedings of the 8th Conference of the Italian Chapter of AIS (ITAIS 2011), to appear. F. Ferrucci, F. Sarro, C. Gravino, "How Multi-Objective Genetic Programming is Effective for Software Development Effort Estimation?", 3rd International Symposium on Search Based Software Engineering (SSBSE 2011), Lecture Notes in Computer Science vol. 6956, pp. 274-275. F. Ferrucci, C. Gravino, F. Sarro, "A case study on the conversion of Function Points into COSMIC", 37th EUROMICRO Conference on Software Engineering and Advanced Applications (SEAA 2011), pp. 461-464, 2011. S. Di Martino, R. Galiero, C. Giorio, F. Ferrucci, F. Sarro, "A Matching-Algorithm based on the Cloud and Positioning Systems to Improve Carpooling", 17th International Conference on Distributed Multimedia Systems (DMS2011), pp. 90-95, ISBN:1-891706-30-6. S. Di Martino, F. Ferrucci, C. Gravino and F. Sarro, "Using Web Objects for Development Effort Estimation of Web Applications: A Replicated Study", in Proceedings of the 12th International Conference on Product-Focused Software Development and Process Improvement (PROFES 2011), LNCS Springer vol. 6759, pp. 186-201, ISBN: 978-3-642-21842-2. S. Di Martino, F. Ferrucci, C. Gravino, F. Sarro, "A Genetic Algorithm to configure Support Vector Machines for Predicting Fault-Prone Components", in Proceedings of the 12th International Conference on Product-Focused Software Development and Process Improvement (PROFES 2011), LNCS Springer vol. 6759, pp. 247-261, ISBN: 978-3-642-21842-2. F. Sarro, "Search-Based Approaches for Software Development Effort Estimation", PROFES 2011 Doctoral Symposium (part of the 12th International Conference on Product-Focused Software Development and Process Improvement), ACM Inc., pp. 38-43, ISBN: 978-1-4503-0783-3. L. Buglione, F. Ferrucci, C. Gencel, C. Gravino, F. Sarro, "Which COSMIC Base Functional Components are Significant in Estimating Web Application Development? - A Case Study", in Proceedings of the International Conference on Software Process and Product Measurement (MENSURA 2010), Shaker Verlag, pp.205-224, ISBN 978-3-8322-9618-6. F. Ferrucci, D. Ronca, F. Sarro, S. Abrahao, "A Crawljax Based Approach to Exploit Traditional Accessibility Evaluation Tools for AJAX Applications", in Proceedings of the 7th Conference of the Italian Chapter of AIS (ITAIS 2010), ISBN 978-88-6105-124-9. A. Corazza, S. Di Martino, F. Ferrucci, C. Gravino, F. Sarro, E. Mendes, "How Effective is Tabu Search to Configure Support Vector Regression for Effort Estimation?" (Best Paper Award) , in Proceedings of the 6th International Conference on Predictor Models in Software Engineering (PROMISE 2010), ACM Inc, pp. 1-10, ISBN: 978-1-4503-0404-7 F. Ferrucci, C. Gravino, R. Oliveto, F. Sarro, "Genetic Programming for Effort Estimation: an Analysis of the Impact of Different Fitness Functions", in Proceedings of the 2nd International Symposium on Search Based Software Engineering (SSBSE 2010), IEEE Computer Society, pp. 89-98, ISBN: 978-0-7695-4195-2 S. Abrahao, F. Ferrucci, L. De Marco, C. Gravino, F. Sarro, "A COSMIC Measurement Procedure for Sizing Web Applications Developed using the OO-H Method", in Proceedings of the International Workshop on Advances in Functional Size Measurement and Effort Estimation (FSM 2010), ACM New York, DOI 10.1145/1921705.1921707 . F. Ferrucci, C. Gravino, E. Mendes, R. Oliveto, F. Sarro, "Investigating Tabu Search for Web Effort Estimation", in Proceedings of the 36th EUROMICRO Conference on Software Engineering and Advanced Applications (SEAA 2010), IEEE Computer Society, pp.350-357, ISBN: 978-0-7695-4170-9. F. Ferrucci, P. D'Ambrosio, M. Tucci, F. Sarro, "An Approach for the Development of DOOH-Oriented Information Systems", in Proceedings of the 12th International Conference on Enterprise Information Systems (ICEIS 2010), SciTePress, vol.3, pp. 326-331, ISBN: 978-989-8425-06-5. F. Ferrucci, C. Gravino, R. Oliveto, F. Sarro, "Estimating Software Development Effort Using Tabu Search", in Proceedings of the 12th International Conference on Enterprise Information Systems (ICEIS 2010), SciTePress, vol.1, pp. 236-241, ISBN: 978-989-8425-04-1 F. Ferrucci, C. Gravino, R. Oliveto, F. Sarro "Using Tabu Search to Estimate Software Development Effort", in Proceedings of IWSM/MENSURA 2009. LNCS Springer vol. 5891, pp. 307-320, ISBN:978-3-642-05414-3 Book Chapters M.Harman, F. Ferrucci, F. Sarro, "Search-Based Software Project Management", , in Software Project Management in a Changing World , Gnther Ruhe and Claes Wholin (Editors), Springer, 2014, pp.373-399. S. Di Martino, F. Ferrucci, V. Maggio, F. Sarro, "Towards Migrating Genetic Algorithms for Test Data Generation to the Cloud", Software Testing in the Cloud: Perspectives on an Emerging Discipline , Scott Tilley (ed), IGI Global, 2012. G. Carullo, F. Ferrucci, F. Sarro, "Towards Improving Usability of Authentication Systems Using Smartphones for Logical and Physical Resource Access in a Single Sign-On Environment", pp., 145-153 Springer, Information Systems: Crossroads for Organization, Management, Accounting and Engineering, M. De Marco, D. Te'eni, V. Albano, S. Za (Editors), 2012, ISBN: 978-3-7908-2788-0 F. Ferrucci, F. Sarro, D. Ronca, and S. Abrahao, "A Crawljax Based Approach to Exploit Traditional Accessibility Evaluation Tools for AJAX Applications", pp. 255-262, Information Technology and Innovation Trends in Organizations, A. D'Atri, M. Ferrara, J.F. George, P. Spagnoletti (Editors), Springer-Verlag Berlin Heidelberg, 2011, ISBN: 978-3-7908-2631-9 F. Ferrucci, C. Gravino, R. Oliveto, F. Sarro, "Using Evolutionary Based Approaches to Estimate Software Development Effort", pp.13-28, Evolutionary Computation and Optimization Algorithms in Software Engineering: Applications and Techniques, M. Chis (ed), IGI Global, 2010, ISBN13: 9781615208098. Guest Editorial Federica Sarro, Marouane Kessentini, Kalayanmoy Deb: Guest Editorial Special Issue on Search-Based Software Engineering. IEEE Trans. Evolutionary Computation 22(3): 333 (2018), pdf Federica Sarro, Kalyanmoy Deb, Marouane Kessentini: Guest Editorial for the 8th Symposium on Search Based Software Engineering Special Section. Information & Software Technology 95: 265 (2018) pdf Technical Reports A. Finkelstein, M. Harman, Y. Jia, F. Sarro, Y. Zhang, Mining App Stores: Extracting Technical, Business and Customer Rating Information for Analysis and Prediction, UCL-RN/13/21, available here W. Martin, F. Sarro, Y. Jia, Y. Zhang, M. Harman, A Survey of App Store Analysis for Software Engineering, UCL-RN/16/02, available here W. Martin, F. Sarro, M. Harman, Causal Impact Analysis Applied to App Releases in Google Play and Windows Phone Store, UCL-RN/17/05 , available here PhD Thesis F. Sarro, "Search-based approaches for software development effort estimation", PhD Thesis, University of Salerno, October 2012. More Databases My DBLP Google Scholar Research Gate IRIS UCL The copyright of the papers is owned by the respective publishers. Personal use of the electronic versions here provided is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the publishers. Back to Top Professional Services Keynote "Artificial Intelligence for Software Engineering", BSC SGAI - Real AI conference 5th October 2018, London. "Predictive Analytics for Mobile Apps", 1st Workshop on Advances in Mobile App Analysis, A-Mobile 4th September 2018 Montellier, France. "Living and Working in a Data-Driven World: Predictive Analytics for Software Engineering, London Hopper Colloquium 18th October 2018 London. "Predictive Analytics for Software Testing", 11th International Workshop on Search-Based Software Testing (SBST), SBST'18 Gothenburg, Sweden, 2018. "Software Fault Prediction", SQAMIA'14 , Lovran, Croatia, 30th September, 2014. Invited Talks "Analytics for Software Engineering: From gut-feeling to data-driven decision making", Facebook Big Code Summit , 8-9 October 2018 Predictive Analytics and Optimisation for Software Engineering, British Telecom (BT), Adastral Park, Ipswich, 4th July 2018. Software Defect Prediction: Testing-based metrics suite, FAIR-NET Workshop organised by Brunel University, Goodenough College, London, 18th January 2018. Search Based Software Engineering, University of Naples Federico II, 8th May 2018. Predictive Analytics for Software Engineering and App Store Analysis, University of Naples Federico II, 14th May 2018. Software Analytics & COSMIC related research, The UK COSMIC Special Interest Group, Sixth Meeting, London, 7th June 2018. "Fault Prediction", 1st Facebook Testing and Verification Symposium, FaceTAV , Facebook, London, November 2017. "Supporting Developers in Making Successful Apps", NII Shonan Seminar on Mobile App Store Analytics , Japan, 18th October, 2015. "The Plastic Surgery Hypothesis", 34th CREST Open Workshop: CREST Annual Review , CREST centre at Univeristy College of London, London, 11-12 February, 2014. "Optimising Overtime Planning", 25th CREST Open Workshop: Requirements and Test Optimisation , CREST centre at Univeristy College of London, London, 11-12 February, 2013. "Search-Based Approaches for Software Development Effort Estimation", 1st Student Conference on Optimisation of Software (StuConOS) , Univeristy College of London, London, 10 December, 2012. "Genetic Programming for Effort Estimation", 14th CREST Open Workshop: Genetic Programming for Software Engineering , CREST centre at Univeristy College of London, London, 25th July, 2011. Invited Seminars "Shall We Stay or Shall We Go?", The UK COSMIC Special Interest Group, Fifth Meeting , SITA, Hayes, London, 21st April, 2016. "CoGEE: A Confidence Guided Estimator for Software Development Effort", University of Hertfordshire CS Research Colloquium , University of Hertfordshire London, 20th April, 2016. "Search-Based Software Project Management", International Summer School on Software Engineering, ISSSE'14 , University of Salerno, Italy, 30th June, 2014. "Search-Based Approaches for Software Development Effort Estimation", Artificial Intelligence and Natural Computation Seminar Series , School of Computer Science, University of Birmingham, Birmingham, 7 November 2011 Editor Editorial Board Member for the EMSE journal. Guest Editor for the special issue on "Search-Based Software Engineering" in the IEEE Transactions on Evolutionary Computation journal. Guest Editor for the special issue of the Symposium on Search-Based Software Engineering 2016 in the Information and Software Technology journal Associate Editor for the IEEE Software blog (Mobile applications and systems) Workshop Organiser and Chair 2nd International Workshop on App Market Analytics, WAMA 2017 , co-located with FSE'17 CREST Open Workshop on Predictive Modelling for Software Engineering , March 2017 London, UK 1st International Workshop on App Market Analytics, WAMA 2017 , co-located with FSE'16 CREST Open Workshop on Predictive Modelling and Software Engineering October 2016, London, UK Program Chair Program Chair at ICPC 2019 GECCO 2018, SBSE - Kyoto GECCO 2017, SBSE - Berlin SSBSE 2016 - North Carolina International Summer School on Software Engineering, ISSSE'14 , University of Salerno, Italy, 30th June, 2014. Track Chair Short Papers Track at PROFES 2017 - Austria Short Papers and Work in Progress Track at EASE 2016 - Ireland Short Papers and Graduate Student Tracks at SSBSE 2015 - North Carolina Publicity Chair 4th IEEE/ACM International Conference on Mobile Software Engineering and Systems, MobileSoft 2017 13th International Conference on Predictive Models and Data Analytics in Software Engineering, PROMISE 2017 Steering Committee Member of International Conferences 2016: Search-Based Software Engineering until 2018 Program Committee Member of International Conferences 2019: ICSE'19 2018: ICSE'18 , ASE'18 RE'18 ICSME'18 ESEM'18 GECCO'18 MobileSoft'18 (co-located with ICSE) , 2017: ESEM17 , ISSTA17-DT , ICSME17 , GECCO'17 , SANER'17 , EASE17 , PROFES17 , PROMISE'17 , MobileSoft'17 (co-located with ICSE) , SBST17 (co-located with ICSE) , SCAM17 , GI17 , EvoSet'17 , WETSoM'17 2016: FSE-2016-DT , ESEM16 , SANER'16 , GECCO16 , SBST16 (co-located with ICSE) , PROMISE'16 , CEC16 , ECOOP'16 , MobileSoft'16 (co-located with ICSE) , WETSoM'16 (co-located with ICSE) , SEAA16 , ENASE16 , IEEE ISSC'16 2015: GECCO'15 , SBSE'15 , PROMISE'15 , DeMobile'15 (FSE) , NasBASE'15 , MobileSoft'15 (ICSE) , WETSoM'15(ICSE) , SCORE-it 2015 (ICSE) , IEEE ISSC'15 , ICSEA'15 2014: GECCO'14 , SBSE'14 , PROMISE'14 , EASE'14 , ICWE'14 , e-Society'14 2013: GECCO'13 , SSBSE'13 , PROMISE'13 , Transfer'13 , StuConOS'13 , e-Society'13 Reviewer for International Journals ACM Transactions on Software Engineering and Methodology (TOSEM) : 2013, 2014, 2015, 2016, 2017 IEEE Transactions on Software Engineering (TSE) : 2014, 2016, 2017 Empirical Software Engineering (EMSE) : 2013, 2014, 2015, 2016, 2017 Information Software and Technology (IST) :2014, 2015, 2016, 2017 Journal of System and Software (JSS) : 2014, 2016 Springer Automated Software Engineering (ASE) : 2012 Springer Software Quality Journal (SQJ) : 2014 Journal of Software: Evolution and Process : 2015, 2016 Journal of Information Science (JIS) : 2013, 2014 Journal of Information Processing and Systems (JIPS) : 2013 Advances in Software Engineering : 2013 Reviewer for International Edited Books Software Project Management in a Changing World , Gnther Ruhe and Claes Wholin (Editors), Springer Evolutionary Computation and Optimization Algorithms in Software Engineering: Applications and Techniques , Monica Chis (Editor) GI Global. Subreviewer for International Conferences 2016: FSE'16 2014: FSE'14 , MSR'14 2012: DEXA'12 , QUATIC 2012 , EASE 2012 , ACM SAC 2012 ( SE Track ) 2011: ICEIS'11 , WEBIST11 , ACM SAC'11 ( SE Track ), 2010: ITAIS'10 , DEXA'10 , ICEIS'10 , ACM SAC'10 ( SE Track ). Talks at International Conferences Multi-objective effort estimation , 36th International Conference on Software Engineering , (ICSE 2016), May 2016. "Feature Lifecycles as They Spread, Migrate, Remain and Die in App Stores", International Conference on Requirements Engineering , RE2015, August 2015 "The Plastic Surgery Hypothesis", 22nd ACM SIGFOST International Symposium on Foundations of Software Engineering Hong Kong, November 16-21 2014 "Less is More: Temporal Fault Predictive Performance Over Multiple Hadoop Releases", 5th International Symposium on Search-Based Software Engineering (SSBSE2014) Fortaleza, Brazil 2014 "Not Going to Take this Anymore: Multi-Objective Overtime Planning for Software Engineering Projects", 35th International Conference on Software Engineering (ICSE2013) San Francisco, May 18-26 2013 "Functional vs. Design Measures for Model-Driven Web Applications: A Case Study in the Context of Web Effort Estimation", 3rd International Workshop on Emerging Trends in Software Metrics (WETSoM 2012), Zurich, 3 June, 2012. "A Further Analysis on the Use of Genetic Algorithm to Configure Support Vector Machines for Inter-Release Fault Prediction" , 27th Symposium On Applied Computing, Riva del Garda, Italy, March, 26y31, 2012 "Single and Multi Objective Genetic Programming for Software Development Effort Estimation" , 27th Symposium On Applied Computing, Riva del Garda, Italy, March, 26-31, 2012 "Towards Improving Usability of Authentication Systems Using Smartphones for Logical and Physical Resource Access in a Single Sign-On Environment", 8th Conference of the Italian Chapter of AIS , Rome, Italy, October, 7-8, 2011 "A Matching-Algorithm based on the Cloud and Positioning Systems to Improve Carpooling", 17th International Conference on Distributed Multimedia Systems , Florence, Italy, August 18-20, 2011. "Search-Based Approaches for Software Development Effort Estimation" 12th International Conference on Product-Focused Software Development and Process Improvement (Doctoral Symposium) , Torre Canne (BR), Italy, June 20, 2011 "A Crawljax Based Approach to Exploit Traditional Accessibility Evaluation Tools for AJAX Applications", ITAIS 2010 , Naples, Italy, October, 8-9, 2010 ( Photos ) "How Effective is Tabu Search to Configure Support Vector Regression for Effort Estimation?", PROMISE 2010 , Timisoara, Romania, September, 12-13, 2010 ( Photos ) "Genetic Programming for Effort Estimation: an Analysis of the Impact of Different Fitness Functions", SSBSE 2010 , Benevento, Italy, September, 7-9, 2010 ( Photos ) "Using search-based techniques for software development effort estimation", 7th International Summer School on Software Engineering , DMI - University of Salerno, Italy, July, 6-9, 2010 Back to Top Teaching Advising Currently co-adivised PhD Students Afnan A. Al-Subaihin , PhD candidate at University College London, London Co-Advisors : Mark Harman, Licia Capra, Sue Black University College London Topic keywords : Mobile apps' feature migration, Mobile app clustering Carlos Gavida , PhD candidate at University College London, London Co-Advisors : Mark Harman, Earl Barr, University College London Topic keywords : Software Engineering, Regression Testing Past co-adivised PhD Students William Martin , PhD candidate at University College London, London Co-Advisors : Mark Harman, Yue Jia, University College London Topic keywords : Topic modelling, Mining mobile app users' reviews, App Sampling Problem, Casual Impact in App Store Analysis Past (co)advised Bachelor and Master Students Six Bachelor and three Master thesis co-supervised at University of Salerno (Italy) with Prof. Filomena Ferrucci. Four Erasmus students (master thesis) co-supervised at University College London (UK), with Prof. Mark Harman (University College London, UK) and Filomena Ferrucci (University of Salerno, Italy). Final Year Individual Projects Research interests: Predictive Analytics, Software Analytics, Search-Based Software Engineering, Empirical Methods for Software Engineering. If you have a project idea related to the mentioned research interests, please email me at f.sarro at ucl dot ac dot uk . Here is a list of available projects . Lecturer Academic Year 2018/2019 Second term: Compilers (COMP207P) BSc in Computer Science, Department of Computer Science, University College London, London. Second term: Validation & Verification (COMPM023/COMPGS03) MSc in Software Engineering, Department of Computer Science, University College London, London. Academic Year 2017/2018 Second term: Compilers (COMP207P) BSc in Computer Science, Department of Computer Science, University College London, London. Second term: Validation & Verification (COMPM023/COMPGS03) MSc in Software Engineering, Department of Computer Science, University College London, London. Academic Year 2016/2017 Second term: Compilers (COMP207P) BSc in Computer Science (30 hours), Department of Computer Science, University College London, London. Teaching Assistant Academic Year 2016/2017 First term: Research Seminar in Software Engineering (GS11) graduate course (36 hours), Dr E. Barr, Department of Computer Science, University College London, London. Academic Year 2015/2016 First term: Research Seminar in Software Engineering (GS11) graduate course (36 hours), Dr E. Barr, Department of Computer Science, University College London, London. Academic Year 2014/2015 First term: Research Seminar in Software Engineering (GS11) graduate course (36 hours), Dr E. Barr, Department of Computer Science, University College London, London. Academic Year 2013/2014 First term: Research Seminar in Software Engineering (GS11) graduate course (36 hours), Dr E. Barr, Department of Computer Science, University College London, London. First term: Java Lab (INST2012) - undergraduate course (16 hours), Dr Martin O'Reilly, Department of Information Studies, University College London, London. Academic Year 2012/2013 Second term: Robotics Programming course (36 hours), Prof M. Handley and Dr D. Mohamedally, University College London, London. Academic Year 2011/2012 Fall Semester: Computer Architecture, undergraduate course (32 hours), Bachelor degree in Computer Science University of Salerno, Italy. Fall Semester: Programming Language 1, undergraduate course (24 hours), Bachelor degree in Computer Science University of Salerno, Italy. Spring Semester: Operative System, undergraduate course (16 hours), Bachelor degree in Computer Science University of Salerno, Italy. Academic Year 2010/2011 Fall Semester: Computer Architecture, undergraduate course (12 hours), Bachelor degree in Computer Science University of Salerno, Italy. Spring Semester: Operative System, undergraduate course (24 hours), Bachelor degree in Computer Science University of Salerno, Italy. Suggested Reading The Algorithm: Idiom of Modern Science by B. Chazelle profserious by A. Finkelstein So long, and thanks for the Ph.D.! by R.T. Azuma Back to Top Get in touch Send me a message Name * Email * Website Subject Message * Contact Information Dr Federica Sarro Associate Professor CREST, SSE Department of Computer Science University College London Phone: +44 (0) 2031087003 (57003). E-mail: f.sarro [@] ucl.ac.uk Follow Me Linkedin Google+ Twitter Research Gate Back to Top Home CV Research Interest Awards Publications Professional Services Contact Me Copyright 2012 Federica Sarro. Designed by Styleshout diff --git a/src/data/compiled_bios/1087.txt b/src/data/compiled_bios/1087.txt new file mode 100644 index 0000000000..97d68f9ad7 --- /dev/null +++ b/src/data/compiled_bios/1087.txt @@ -0,0 +1 @@ + Information Security Group Department of Computer Science UCL Home Computer Science Information Security People Home News People Internal Publications Seminars Academic Centre of Excellence for Cyber Security Research Contact Us Professor M. Angela Sasse FREng Quick Links: Research Projects | Publications | PhD Students Professor of Human-Centred Security Office: 6.14, Malet Place Engineering Tel: +44 020 7679 7212 Fax: +44 020 7387 1397 Email: a.sasse [at] ucl.ac.uk Research Over the past 15 years, she has been researching the human-centred aspects of security, privacy, identity and trust. Research interests: how we design and implement innovative technologies that are fit for purpose, value for money, and improve productivity and well-being of individuals and society. Angela's full research portrait can be found here. Current research projects RISCS II DAPM (Detecting and Preventing Mass-Marketing Fraud Short Biography As of summer 2018 M. Angela Sasse FREng is the Professor of Human-Centred Security at Ruhr University Bochum in Germany. She retains an appointment at UCL but does not take new PhD students. A usability researcher by training, she started investigating the causes and effects of usability issues with security mechanisms in 1996. In addition to studying specific mechanisms such as passwords, biometrics, and access control, her research group has developed human-centred frameworks that explain the role of security, privacy, identity and trust in human interactions with technology. She is currently the Director of the multidisciplinary UK Research Institute for Science of Cyber Security (RISCS), funded by EPSRC and GCHQ and now its second phase. The nature and importance of the work was showcased in this Nature article last year. She was elected Fellow of the Royal Academy of Engineering in 2015, and serves on its Diversity Committee. She was a member of the Steering Committee of the Royal Society's report into Cyber Security Research in the UK. Beyond UCL Member of the EPSRC College since 2003. Fellow of the British Computer Society (FBCS) and Chartered Engineer (CEeng) 2013-2015: Member of the Steering Group, Royal Society Cyber Security Research: a vision for the UK ( https://royalsociety.org/topics-policy/projects/cybersecurity-research/ ) Departmental Editor (In Our Orbit) of IEEE Security and Privacy Area Editor (Human Factors and Usability) Journal of Cybersecrity Member of the SimplySecure advisory board Committee member of Information Security Specialists Group (ISSG) Intel Faculty award 2012 Intel Faculty award 2013 Conferences Past Chair of the British HCI Group (A Specialist Group of the BritishComputer Society). Past programme co-chair of HCI'96, INTERACT'99 and WEIS 2009. Papers Co-Chair of ACM CHI 2002 in Minneapolis and Associate PapersChair in 2003, 2014, 2016 Steering Committee Member, USEC and EuroUSEC (NDSS Workshop on Usable Security) PC member of Mycrypt 2016, ISBA 2016 Latest Talks 11 January 2017: "How safe is your password?" at Radio 4's Moneybox programme, London, UK 13 December 2016: "Working together to meet the cyber challenge" at Rise to the Challenge: Cyber Security, London, UK 7 December 2016: "Awareness supporting the transition to secure behaviours" at SASIG Conference, London, UK 9 November 2016: Keynote "Security the Digital Society - why we need a multidisciplinary approach" at the opening ceremony for Beautiful New World: Safety for People in Cyberspace (SecHuman) project, Bochum, Germany 1 November 2016: "Managing your privacy - What choice do you really have?" at Google Security and Privacy Week, Zurich, Switzerland 17 October 2016: "Case study: Implementing effective defence against the insider threat without ruffling feathers" at 15th Noord Infosec Dialogue, Marlow, UK 6 September 2016: "Smart Cities, Future Homes" at Data Protection Forum, London, UK 25 August 2016: "Privacy of Personal Health Data" at 11th International IFIP Summer School on Privacy and Identity Management, Karlstad, Sweden Research Fellows: Dr. Simon Parkin Current PhD students: Ruba Abu-Salma , Nissy Sombatruang, Julienne Park List of all PhD students List of all publications This page was last modified on 03 Jan 2019. Teaching People and Security (GA10) Also taught at Oxford University as part of the Software Engineering Programme Internal Links list of research projects list of publications list of PhD students Research Dr. Simon Parkin Research Students Ruba Abu-Salma Nissy Sombatruang Julienne Park Thomas Cattermole Department of Computer Science - University College London - Gower Street - London - WC1E 6BT - +44 (0)20 7679 7214 - Copyright 1999-2019 UCL Disclaimer | Accessibility | Privacy | UCL Search | UCL-CS Help | Old Group Website diff --git a/src/data/compiled_bios/1088.txt b/src/data/compiled_bios/1088.txt new file mode 100644 index 0000000000..706d286710 --- /dev/null +++ b/src/data/compiled_bios/1088.txt @@ -0,0 +1 @@ + News | Group | Papers | Press | Projects | Talks | Teaching | Miscellanea Ilya Sergey Associate Professor (tenure track) at Yale-NUS College and NUS School of Computing Lead Language Designer at Zilliqa Postal Address: Yale-NUS College 28 College Avenue West #01-501, Singapore 138533 Office Location: #RC3-01-03E, Cendana College Office Phone: +65 6516 1903 Email: ilya.sergey@yale-nus.edu.sg Availability: Calendar (it takes a while to load) I do research in programming language theory, including, but not limited to types, semantics, software verification, and program synthesis. Lately, I have been mostly focusing on developing sound and scalable methodologies for building provably correct concurrent and distributed systems (with applications to blockchains and smart contracts ). I also designed and co-developed Scilla , a programming language for safe and secure smart contracts. For my work, I write a lot of mechanised proofs in Coq, as well as functional code in Scala, OCaml, and Haskell. Since November 2018, I am a tenure-track Associate Professor at Yale-NUS College (Singapore), holding a joint appointment with NUS School of Computing . From November 2015 till October 2018, I was a faculty at the Department of Computer Science of University College London. Prior to joining UCL, from December 2012 to October 2015, I was a postdoc at IMDEA Software Institute . From November 2008 to November 2012, I was a research assistant in the CS Department of KU Leuven , where I obtained my PhD. During my doctoral studies I was a visiting PhD fellow in the Department of Computer Science of Aarhus University and a research intern in the PPT group at MSR Cambridge . I got my MSc degree in Mathematics and CS in 2008 from Dept. of Mathematics and Mechanics of Saint Petersburg State University . Before joining academia I worked as a software developer at JetBrains . Curriculum Vitae: [ PDF ] Consider submitting your papers on blockchain applications to the new open-access Journal of Financial Technology . If you are looking for the "CSL Family Tree" slide, you can find it here . Other slides from my recent talks are here . What's New Jan 31 Our POPL'19 paper on program synthesis, made it to NUS School of Computing news . Jan 9 I will be giving a talk on How to Bootsrap a Research Project at PLMW @ POPL'19 . Nov 28 A work-in-progress report on probabilistic verification of security properties of blockchain protocols will be presented by Kiran Gopinathan at CoqPL 2019 . Nov 12 Gave a talk entitled What We Talk about When We Talk about Formally Verified Systems at Blockchain and Cybersecurity Workshop 2018 hosted by National University of Singapore. Nov 5 A paper on practical programming with distributed protocos (with Kristoffer Just Andersen ), will appear at PADL 2019 . Oct 9 Two papers accepted at POPL 2019 : on program synthesis via Separation Logic (with Nadia Polikarpova ), and on proving no-false-positives for unsound static race detectors (with Nikos Gorogiannis and Peter O'Hearn ). Sep 8 Looking forward to visit Dominique Devriese at KU Leuven on September 19 and give a talk on program synthesis with Separation Logic. Aug 29 On September 3-5, I will be visiting ric Tanter and the research group of Ctlin Hricu at Inria Paris. Aug 23 Our paper on Finding the Greedy, Prodigal, and Suicidal Contracts at Scale, with Ivica Nikoli , Aashish Kolluri , Prateek Saxena and Aquinas Hobor , got accepted to ACSAC 2018 . Aug 15 I am looking forward to visit Sukyoung Ryu and Hongseok Yang and their groups at KAIST in Daejeon on August 23-28. Aug 14 On August 21, I will be giving a series of lectures on implementation and verification of distributed systems and their applications at SIGPL Summer School 2018 in Seoul (yes, that page is entirely in Korean, but, even if you are, just like me, not a Korean speaker, you can still try to identify the titles of my talks there). Aug 6 Scilla , a strongly typed intermediate language for smart contracts developed by Zilliqa , is now open-sourced: here's the repository , and here's a new shiny web page with tutorials and documentation. Contributions are welcome! Jul 20 Got promoted to an Associate Professor of Computer Science at UCL, effective 1st October 2018. Jul 6 Our paper on RacerD , an industrial-scale compositional static race detector, developed at Facebook, with Sam Blackshear , Nikos Gorogiannis , and Peter O'Hearn , is conditionally accepted at OOPSLA 2018 . Here's the preprint . All news Students and Research Associates I am very fortunate to work with these brilliant people: Daniel Lok , Capstone project student at Yale-NUS, 2018-19. Jake (Si Yuan) Goh , Capstone project student at Yale-NUS, 2018-19. George Prlea , Undergraduate researcher at UCL, 2018-19. Maria A Schett , PhD student at UCL, since November 2017. Current and past affiliates Recent Publications and Manuscripts [ All publications | DBLP | Google Scholar ] Structuring the Synthesis of Heap-Manipulating Programs Nadia Polikarpova and Ilya Sergey 46th ACM SIGPLAN Symposium on Principles of Programming Languages (POPL 2019). Lisbon, Portugal, January 2019. Recipient of POPL 2019 Distinguished Paper Award [ PDF | Extended Version | GitHub | Accepted Artifact | Slides ] A True Positives Theorem for a Static Race Detector Nikos Gorogiannis , Peter O'Hearn , and Ilya Sergey 46th ACM SIGPLAN Symposium on Principles of Programming Languages (POPL 2019). Lisbon, Portugal, January 2019. [ PDF | Extended Version | Slides ] Distributed Protocol Combinators Kristoffer Just Andersen and Ilya Sergey 21st International Symposium on Practical Aspects of Declarative Languages (PADL 2019). Lisbon, Portugal, January 2019. [ PDF | Code ] Finding the Greedy, Prodigal, and Suicidal Contracts at Scale Ivica Nikoli , Aashish Kolluri , Ilya Sergey, Prateek Saxena , and Aquinas Hobor 2018 Annual Computer Security Applications Conference (ACSAC 2018). San Juan, Puerto Rico, USA, December 2018. [ PDF | Tool ] RacerD: Compositional Static Race Detection Sam Blackshear , Nikos Gorogiannis , Peter O'Hearn , and Ilya Sergey 33rd ACM SIGPLAN Conference on Object-Oriented Programming Systems, Languages and Applications (OOPSLA 2018). Boston, MA, USA, November 2018. [ PDF | Talk ] Temporal Properties of Smart Contracts Ilya Sergey, Amrit Kumar , and Aquinas Hobor ISoLA 2018, the track on Reliable Smart Contracts: State-of-the-art, Applications, Challenges and Future Directions. Limassol, Cyprus, November 2018. [ PDF ] EthIR: A Framework for High-Level Analysis of Ethereum Bytecode Elvira Albert , Pablo Gordillo , Benjamin Livshits , Albert Rubio , and Ilya Sergey 16th International Symposium on Automated Technology for Verification and Analysis (ATVA 2018). Los Angeles, CA, USA, October 2018. [ PDF | arXiv | Code ] Scilla: a Smart Contract Intermediate-Level LAnguage Ilya Sergey, Amrit Kumar , and Aquinas Hobor Technical report. January 2018. [ PDF ] Paxos Consensus, Deconstructed and Abstracted lvaro Garca Prez , Alexey Gotsman , Yuri Meshman , and Ilya Sergey 27th European Symposium on Programming (ESOP 2018). Thessaloniki, Greece, April 2018. [ PDF | Extended Version | Code ] Lecture notes Programs and Proofs: Mechanizing Mathematics with Dependent Types Lecture notes with exercises. [ PDF | Course page | GitHub ] In Press Scilla - A Formal Verification Oriented Contract Language. Video Interview to Epicenter . 6 June 2018. Mike Orcutt. Ethereums smart contracts are full of holes . MIT Technology Review . 1 March 2018. Jordan Pearson. Millions of Dollars In Ethereum Are Vulnerable to Hackers Right Now . Motherboard, Vice . 22 February 2018. Selected Projects and Software Scilla A strongly typed functional intermediate language for smart contracts. [ Web page | Position Paper | GitHub ] Toychain A minimalistic blockchain consensus implemented and verified in Coq. [ Paper | GitHub ] Disel: Distributed Separation Logic A mechanised framework for compositional verification of distributed systems. [ Project page | GitHub ] FCSL: Fine-grained Concurrent Separation Logic A Coq-based verification tool for fine-grained concurrent programs. [ Project page | Main Paper ] Geometry Testing A QuickCheck-style framework for randomised testing of geometric algorithms. [ GitHub | Paper ] Pushdown k-CFA Pushdown context-sensistive control-flow analysis with optional Abstract Garbage Collection for LambdaJS and a subset of Scheme programming language. [ GitHub | Paper ] I am a also a creator of the La Clojure plugin for IntelliJ IDEA . It is no longer maintained, but its sources are available on GitHub. Check my GitHub profile for my other projects. Teaching YSC2229: Introductory Data Structures and Algorithms , Lecturer. Yale-NUS College. Spring 2019. SIGPL Summer School 2018 , Dongguk University, Seoul, Korea. August 2018. Lecturer . [ Lecture 1 | Lecture 2 | Lecture 3 ] ENGS102P: Design and Professional Skills , Scenario Project Organiser. UCL. Spring 2018. COMP104P: Theory II, Anallysis of Algorithms , Lecturer. UCL. Spring 2016, Spring 2017, Spring 2018. COMP214P: Systems Engineering , Scenario Week Designer. UCL. Autumn 2017. [ Intro | Conclusion ] COMP205P: Software Engineering and HCI , Scenario Week Designer. UCL. Spring 2017. [ Intro | Conclusion ] COMP205P: Software Engineering and HCI , Scenario Week Designer. UCL. Spring 2016. [ Intro | Conclusion ] COMP2012: Directed Reading , Second Examiner. UCL. Spring 2016. Programs and Proofs: Mechanizing Mathematics with Dependent Types , Summer School Lecturer. JetBrains Inc. / Saint-Petersburg State University. August 2014. [ School page ] Collaborators Over the years, I have been very lucky to work on joint research projects with some great people: Elvira Albert Kristoffer Just Andersen Anindya Banerjee Sam Blackshear Joachim Breitner Dave Clarke David Darais Germn Andrs Delbianco Dominique Devriese lvaro Garca Prez Nikos Gorogiannis Alexey Gotsman Pablo Gordillo Aquinas Hobor Aashish Kolluri Amrit Kumar Mohsen Lesani Ben Livshits Jan Midtgaard Matt Might Aleks Nanevski Ivica Nikoli Pablo Nogueira Peter O'Hearn Karl Palmskog Simon L. Peyton Jones Frank Piessens George Prlea Anton Podkopaev Nadia Polikarpova Talia Ringer Albert Rubio Prateek Saxena Maria A Schett Thomas Sibut-Pinote Zachary Tatlock David Van Horn Dimitrios Vytiniotis James R. Wilcox Miscellanea I am married to CG artist Lilia Anisimova . I am on Twitter as @ilyasergey . My Erds number is here (you can view this MathSciNet page from your university network). Last time I checked it was 4. The photo above is couresy of Elena Alhimovich . Here is my "official" photo, suitable for appropriate occasions. Yet another picture of mine by Jorge Cham , for I have contributed to the PHD Movie 2 on Kickstarter. While living in Madrid, I enjoyed its inimitable atmosphere and delicious food. For the latter, this Maribel's Dining Guide to Madrid (kindly provided by Aleks Nanevski) always came in handy. Last modified: Tue Feb 19 13:02:09 +08 2019 diff --git a/src/data/compiled_bios/1089.txt b/src/data/compiled_bios/1089.txt new file mode 100644 index 0000000000..cfe8857213 --- /dev/null +++ b/src/data/compiled_bios/1089.txt @@ -0,0 +1 @@ + Simone Severini Professor of Physics of Information Royal Society University Research Fellow Department of Computer Science University College London Mail: Gower Street 66-72, WC1E 6EA London, UK Email: s.severini@ucl.ac.uk I am currently a member of the following UCL research groups: Intelligent Systems , UCL CS Quantum , UCL Quantum Science and Technology Institute , CoMPLEX . My (2018) projects are Quantum Computing, Information, and Algebras of Operators , Semantic Information Pursuit for Multimodal Data Analysis , Contextuality as a resource in quantum computation , Distributed Information: Theory, Analysis and Applications , Learning and Classical Simulation of Quantum States and Dynamics , Prosperity Partnership in Quantum Software for Modeling and Simulation My papers are in arXiv (mostly in quant- ph ), MathSciNet (mostly discrete maths), PubMed (for papers in computational biology), IRIS (the UCL research portal) Here is a selection of recent works: D. Temko , I. Tomlinson, S. Severini , B. Schuster- Boeckler , T. Graham, The effects of mutational process and selection on driver mutations across cancer types , Nature Communications, 9, Article number: 1857 (2018) A. Rocchetto , E. Grant, S. Strelchuk , G. Carleo , S. Severini , Learning hard quantum distributions with variational autoencoders , npj Quantum Information, volume 4, Article number: 28 (2018) S. Severini , Graph Parameters and Physical Correlations: from Shannon to Connes , via Lovasz and Tsirelson , ERCIM News, Special theme: Quantum Computing, January 2018 C. Ciliberto , M. Herbster , A. D. Ialongo , M. Pontil, A. Rocchetto , S. Severini , L. Wossnig , Quantum machine learning: a classical perspective , Proc. R. Soc. A 2018 474 20170551. C. R. S. Banerji, M. Panamarova , H. Hebaishi , R. B. White, F. Relaix , S. Severini , P. S. Zammit, PAX7 target genes are globally repressed in facioscapulohumeral muscular dystrophy skeletal muscle , Nature Communications, 8, Article number: 2152 (2017) A. Atserias , P. Kolaitis , S. Severini , Generalized satisfiability problems via operator assignments , FCT2017. Best Paper Award L. Mancinska , D. E. Roberson, R. Samal , S. Severini , A. Varvitsiotis , Quantum and non-signalling graph isomorphisms , Journal of Combinatorial Theory, Series B, 2018. Conference version, ICALP2017 R. Duan , S. Severini , A. Winter, On zero-error communication via quantum channels in the presence of noiseless feedback , February 2015, IEEE Trans. Inf. Theory, 62:9 (2016), 5260-5277. C. Godsil , D. Roberson, R. Samal , S. Severini , Sabidussi versus Hedetniemi for three variations of the chromatic number , Combinatorica , August 2016, Volume 36, Issue 4, pp 395-415. V. I. Paulsen, S. Severini , D. Stahlke , I. G. Todorov, A. Winter, Estimating quantum chromatic numbers , Journal of Functional Analysis, 270 (2016), pp. 2188-2222. Preprints 2018: Leonardo Banchi , Edward Grant , Andrea Rocchetto , Simone Severini , Modelling Non-Markovian Quantum Processes with Recurrent Neural Networks Fabiano M. Andrade , Simone Severini , Unitary equivalence between the Green's function and Schrodinger approaches for quantum graphs Marcello Benedetti , Edward Grant , Leonard Wossnig , Simone Severini , Adversarial quantum circuit learning for pure state approximation Hongxiang Chen , Leonard Wossnig , Simone Severini , Hartmut Neven , Masoud Mohseni , Universal discriminative quantum neural networks Thomas G. Wong , Konstantin Wunscher , Joshua Lockhart , Simone Severini , Quantum Walk Search on Kronecker Graphs Edward Grant , Marcello Benedetti , Shuxiang Cao , Andrew Hallam , Joshua Lockhart , Vid Stojevic , Andrew G. Green , Simone Severini , Hierarchical quantum classifiers Alessandro Rudi , Leonard Wossnig , Carlo Ciliberto , Andrea Rocchetto , Massimiliano Pontil , Simone Severini , Approximating Hamiltonian dynamics with the Nystrom method Danial Dervovic , Mark Herbster , Peter Mountney , Simone Severini , Nairi Usher , Leonard Wossnig , Quantum linear systems algorithms: a primer Varun Kanade , Andrea Rocchetto , Simone Severini , Learning DNFs under product distributions via -biased quantum Fourier sampling References diff --git a/src/data/compiled_bios/109.txt b/src/data/compiled_bios/109.txt new file mode 100644 index 0000000000..9145133e48 --- /dev/null +++ b/src/data/compiled_bios/109.txt @@ -0,0 +1 @@ +Professor Vlassak studies the thermo-mechanical behavior of a broad range of engineering materials. He has developed experimental methods to characterize phase transitions and solid-state reactions in thin films, plastic deformation of coatings, elastic anisotropy in indentation, and fracture of thin films. Current experimental research projects focus on the mechanical behavior of hydrogels and the use of hydrogels as ionic conductors in 3D printed devices. Recently, Professor Vlassak pioneered the use of combinatorial nanocalorimetry for the development and analysis of complex materials systems, including metallic glasses, ultra-high temperature ceramics, and high-temperature shape memory alloys. Combinatorial nanocalorimetry provides a convenient way of mapping the energetics and kinetics of phase transitions and solid-state reactions as a function of composition, making it an ideal experimental tool for the Materials Genome Project. The technique also lends itself for the characterization of thermal fatigue and stability of functional materials, as well as for the optimization of heat treatments.Past research projects focused on the mechanical degradation of electrodes in lithium ion batteries as a result of lithium insertion, on the effects of microstructural length scales on the mechanical behavior of thin metal films, and on the effect of chemical species on the adhesion and delamination of multilayered structures containing low-k dielectrics.Theoretical work includes modeling of chemical mechanical polishing (CMP) based on contact mechanics, channel cracking in films on substrates of finite thickness, and various analyses of the effects of substrate properties and film porosity on nanoindentation of thin films. diff --git a/src/data/compiled_bios/1090.txt b/src/data/compiled_bios/1090.txt new file mode 100644 index 0000000000..b27edef0b4 --- /dev/null +++ b/src/data/compiled_bios/1090.txt @@ -0,0 +1 @@ +John Shawe-Taylor Director, Centre for Computational Statistics and Machine Learning , UCL Welcome Publications Teaching Contact Welcome to John Shawe-Taylor's homepage John S Shawe-Taylor is a professor at University College London (UK) where he is Director of the Centre for Computational Statistics and Machine Learning (CSML) . His main research area is Statistical Learning Theory, but his contributions range from Neural Networks, to Machine Learning, to Graph Theory. John Shawe-Taylor obtained a PhD in Mathematics at Royal Holloway, University of London in 1986. He subsequently completed an MSc in the Foundations of Advanced Information Technology at Imperial College. He was promoted to Professor of Computing Science in 1996. He has published over 150 research papers. He moved to the University of Southampton in 2003 to lead the ISIS research group. He has been appointed the Director of the Centre for Computational Statistics and Machine Learning at University College, London from July 2006. He has coordinated a number of European wide projects investigating the theory and practice of Machine Learning, including the NeuroCOLT projects. He is currently the scientific coordinator of a Framework VI Network of Excellence in Pattern Analysis, Statistical Modelling and Computational Learning (PASCAL) involving 57 partners. Video Lectures Some videos of John's talks can be found on the videolectures.net beta site Books He is the co-author of two very successful books on the theory of Support vector machines and Kernel methods: An Introduction to Support Vector Machines ( Nello Cristianini and John Shawe Taylor) Cambridge University Press, 2000 Kernel Methods for Pattern Analysis John Shawe Taylor and Nello Cristianini Cambridge University Press, 2004 Links PASCAL network John's page on PASCAL CSML home UCL-CS home Intelligent Systems group UCL home Kernel Methods Support Vector Machines Copyright 2007 (John Shawe-Taylor). diff --git a/src/data/compiled_bios/1091.txt b/src/data/compiled_bios/1091.txt new file mode 100644 index 0000000000..38aaef3ed9 --- /dev/null +++ b/src/data/compiled_bios/1091.txt @@ -0,0 +1 @@ + Alexandra Silva Role Royal Society Wolfson Fellow Professor in Algebra, Semantics and Computation Office GS3.11 Office Location University College London Dept. of Computer Science 66-72 Gower Street London WC1E 6EA United Kingdom Tel +44 (0)20 3108 7156 (Direct Dial) Internal 57156 Fax +44 (0)20 7387 1397 Email A.Silva (at) cs.ucl.ac.uk Postal Address University College London Dept. of Computer Science Gower Street London WC1E 6BT United Kingdom Group Programming Principles, Logic, and Verification Personal Pages (None) diff --git a/src/data/compiled_bios/1092.txt b/src/data/compiled_bios/1092.txt new file mode 100644 index 0000000000..94d699cea5 --- /dev/null +++ b/src/data/compiled_bios/1092.txt @@ -0,0 +1 @@ + Close UCLIC - UCL Interaction Centre Home Home People Academics Administration Researchers PhD students Visitors Former UCLICers Study Prospective Research Students Induction Week Prospective Taught Students Studying HCI Part-Time Study Apply Now Graduate Destinations Student views FAQ New Students Current Research Students Current Taught Students Distinction Projects UCLIC Alumni Research Affective Computing Health and Wellbeing Collaboration & Communication Interactions in the Wild Designing Future Interfaces Physical Computing Educational Technologies Persuasive Technologies AI and HCI Assistive and Enabling Technology Publications Books About us Collaborate with us Research Collaborations Teaching Collaborations UCLIC's History News, Events, Seminars News Events Seminars Jobs Home People Academics Administration Researchers PhD students Visitors Former UCLICers Study Research Publications About us News, Events, Seminars Tweets by puddlelogic Home People Aneesha Singh Aneesha Singh Lecturer in Human-Computer Interaction aneesha.singh@ucl.ac.uk +44 (0)20 3108 7054 (x57054) Room: 2.05 UCLIC, University College London 66 - 72 Gower Street London, WC1E 6EA United Kingdom @puddlelogic Office Hour: Wednesday 11:00-12:00 (I strongly recommend booking a meeting with me during office hours before coming to meet me). ** Research Publications Authors Title Year Publication Temitayo Olugbade , Aneesha Singh , Nadia Berthouze , Nicolai Marquardt , MSH Aung, A Williams How can affect be detected and represented in technological support for physical rehabilitation? 2019 ACM Transactions on Computer-Human Interaction (TOCHI), Journal article Jimenez N Tajadura, P Rick, F Cuadrado, NL Bianchi-Berthouze, Aneesha Singh , A Vljame, F Bevilacqua Designing a gesture-sound wearable system to motivate physical activity by altering body perception 2018 MOCO, Conference paper (text), Genoa, Italy Britta Schulte , Z Lechelt, Aneesha Singh Giving up Control - A Speculative Air Pollution Mask to Reflect on Autonomy and Technology Design. 2018 DIS '18, 2018 ACM Conference Companion Publication on Designing Interactive Systems, Conference paper (text), Hong Kong, China Ann Blandford , JL Gibbs, Nicola Newhouse , O Perski, Aneesha Singh , E Murray Seven Lessons for interdisciplinary research on interactive digital health 2018 Seven lessons for interdisciplinary research on interactive digital health interventions, Journal article J Gibbs, Aneesha Singh , C Estcourt, P Sonnenberg, Ann Blandford How do people experience negotiating HIV-related online and remote testing resources? 2018 Conference abstract/presentation slides Aneesha Singh , J Gibbs, P Sonnenberg, C Estcourt, Ann Blandford Are HIV Smartphone Apps and Online Interventions Fit for Purpose? 2017 7th International ACM Digital Health Conference, Conference paper (text), London Aneesha Singh , Nicola Newhouse , J Gibbs, Ann Blandford , Y Chen, P Briggs, H Mentis, K Sellen, J Bardram HCI and Health: Learning from Interdisciplinary Interactions. 2017 CHI 2017, Conference paper (text), Denver Aneesha Singh , NL Berthouze-Bianchi, A Williams Supporting Everyday Function in Chronic Pain Using Wearable Technology 2017 ACM CHI Conference on Human Factors in Computing Systems, Conference paper (text), Denver M Caon, L Angelini, E Mugellini, A Matassa, N Bianchi-Berthouze, Aneesha Singh , A Tajadura-Jimnez Third workshop on full-body and multisensory experience 2016 UbiComp 2016 Adjunct - Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, Conference paper (text) Joseph Newbold , Aneesha Singh , N Bianchi-Berthouze Go-with-the-flow: A smartphone app for realtime tracking and sonification of physical activity in CP 2016 PervasiveHealth: Pervasive Computing Technologies for Healthcare, Conference paper (text) Aneesha Singh , Ana Tajadura-Jimenez , Nadia Berthouze , Nicolai Marquardt , M Tentori, R Bresin, D Kulic Mind the Gap: A SIG on Bridging the Gap in Research on Body Sensing, Body Perception and Multisensory Feedback 2016 CHI 2016, Conference paper (text), San Jose, USA Aneesha Singh , S Piana, D Pollarolo, G Volpe, G Varni, Ana Tajadura-Jimenez , Williams A CdeC, A Camurri, N Bianchi-Berthouze Go-with-the-flow: Tracking, Analysis and Sonification of Movement and Breathing to Build Confidence in Activity Despite Chronic Pain 2016 Human-Computer Interaction, Journal article MSH Aung, S Katwang, B Romera-Paredes, B Martinez, Aneesha Singh , M Cella, M Valstar, Hongying Meng , A Kemp, M Shafizadeh The automatic detection of chronic pain-related expression: requirements, challenges and a multimodal dataset 2015 IEEE Transactions on Affective Computing, Journal article S Felipe, Aneesha Singh , C Bradley, A Williams, NL Bianchi-Berthouze Roles for Personal Informatics in Chronic Pain 2015 Persuasive Computing TEchnologies for Healthcare (Persuasive Health 2015), Conference paper (text) S Felipe, Aneesha Singh , C Bradley, A Williams, NL Bianchi-Berthouze Roles for Personal Informatics in Chronic Pain 2015 Persuasive Computing TEchnologies for Healthcare (Persuasive Health 2015), Conference proceeding Jimenez A Tajadura, Aneesha Singh , A klapper, J Jia, A Fidalgo, N Kanakam, Nadia Berthouze , AC Williams Motivating People with Chronic Pain to do Physical Activity: Opportunities for Technology Design. 2014 CHI'14, Conference paper (text), Toronto Aneesha Singh , A Klapper, J Jia, A Fidalgo, A Tajadura-Jimnez, N Kanakam, N Bianchi-Berthouze, A Williams Motivating People with Chronic Pain to Do Physical Activity: Opportunities for Technology Design 2014 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Conference paper (text) Aneesha Singh , A Klapper, J Jia, A Fidalgo, Jimenez A Tajadura, N Kanakam, N Bianchi-Berthouze, ACDEC Williams Motivating People with Chronic Pain to do Physical Activity: Opportunities for Technology Design. 2014 ACM, Conference paper (text) Aneesha Singh , N Bianchi-Berthouze, Williams A CdeC One size fits none! Making affective state a key variable of behaviour change technology for chronic pain 2014 Working/Discussion Paper Aneesha Singh , N Bianchi-Berthouze, ACDEC Williams One size fits none! Making affective state a key variable of behaviour change technology for chronic pain 2014 32nd ACM Conference on Human Factors in Computing Systems., Journal article Aneesha Singh , N Bianchi-Berthouze, ACDEC Williams One size fits none! Making affective state a key variable of behaviour change technology for chronic pain 2014 32nd ACM Conference on Human Factors in Computing Systems, Conference paper (text) Nadia Berthouze , Aneesha Singh , N Bianchi-Berthouze, Williams A CdeC Walk a mile in my shoes: reflecting on studies with people with chronic pain 2014 Working/Discussion Paper Aneesha Singh , N Bianchi-Berthouze, ACDEC Williams Walk a mile in my shoes: reflecting on studies with people with chronic pain 2014 32nd ACM Conference on Human Factors in Computing Systems, Conference paper (text) MSH Aung, Aneesha Singh , SL Lim, A Williams, P Watson, N Bianchi-Berthouze Automatic Recognition of Protective Behaviour in Chronic Pain Rehabilitation 2013 IEEE Workshop on UbiGame4Health'13, in conjuction with CHIItaly'13, Conference paper (text), Trento, Italy MSH Aung, B Romera-Paredes, Aneesha Singh , S Lim, N Kanakam, ACDEC Williams, N Bianchi-Berthouze Getting rid of pain-related behaviour to improve social and self perception: a technology-based perspective. 2013 The 14th International Workshop on Image and Audio Analysis for Multimedia Interactive Services (WIAMIS) 2013, Conference paper (text), Paris Aneesha Singh , T Swann-Sternberg, Nadia Berthouze , ACDC Williams Interactive Technology to Support Physical Activity in People With Chronic Musculoskeletal Pain: What Users Want. 2012 14th World Congress on Pain, Conference paper (text), Milan, Italy. T Swann-Sternberg, Aneesha Singh , N Bianchi-Berthouze, A Williams User needs for technology supporting physical activity in chronic pain 2012 CHI Conference on Human Factors in Computing Systems, Conference paper (text), Austin, TX, USA Aneesha Singh , T Swann-Sternberg, Nadia Berthouze , ACDC Williams, M Pantic, P Watson Emotion and pain: interactive technology to motivate physical activity in people with chronic pain 2012 CHI 2012 Workshop: Interaction Design and Emotional Wellbeing: 30th ACM Conference on Human Factors in Computing Systems, Conference paper (text) M Cella, MSH Aung, Hongying Meng , N Bianchi-Berthouze, B Romera-Paredes, Aneesha Singh , M Shafizadehkenari, Williams A CdeC, P Watson, A Kemp Identifying Pain Behaviour for Automatic Recognition. 2012 International Association for the Study of Pain., Journal article T Swann-Sternberg, Aneesha Singh , N Bianchi-Berthouze, CdeC A Williams User needs for technology supporting physical activity in chronic pain 2012 Work in Progress, CHI'13, Conference paper (text) T Swann-Sternberg, Aneesha Singh , N Bianchi-Berthouze, ACDC Williams User needs for technology supporting physical activity in chronic pain 2012 Proceedings of the 2012 ACM annual conference extended abstracts on Human Factors in Computing Systems Extended Abstracts (CHI EA '12), Conference paper (text) Aneesha Singh , T Swann-Sternberg, N Bianchi-Berthouze, A Williams, M Pantic, P Watson Workshop: Emotion and pain: interactive technology to motivate physical activity in people with chronic pain 2012 The 30th ACM Conference on Human Factors in Computing Systems, Conference paper (text) A Tajadura-Jimnez, F Cuadrado, P Rick, Nadia Berthouze , Aneesha Singh , A Vljame, F Bevilacqua Designing a gesture-sound wearable system to motivate physical activity by altering body perception1 N/A Poster, MOCO'18 Genoa, Italy Aneesha Singh Staying active despite pain: Investigating feedback mechanisms to support physical activity in people with chronic musculoskeletal pain N/A Thesis / Dissertation Parent Departments University College London UCL Computer Science UCL Division of Psychology and Language Sciences Collaborations ICRI UCL Institute of Digital Health Global Disability Innovation Hub Connect with us About UCLIC Meet UCLIC people UCL Interaction Centre - University College London, 2nd floor 66-72 Gower Street, London, WC1E 6BT Tel: +44 (0) 20 3108 7050 2001-2019 UCLIC Disclaimer Freedom of Information Accessibility Privacy Cookies Contact Us Intranet Top diff --git a/src/data/compiled_bios/1093.txt b/src/data/compiled_bios/1093.txt new file mode 100644 index 0000000000..e71d6f4690 --- /dev/null +++ b/src/data/compiled_bios/1093.txt @@ -0,0 +1 @@ + Loading Skip to content Facebook Twitter LinkedIn robert.elliott.smith@gmail.com email for further contact details Search I Like Ideas Publications Presentations and Others Conference Papers Invited Chapters Refereed Journals and Chapters Projects Students Current Students Masters Commitees Served Masters Supervised PhD Commitees Served PhDs Supervised About Me Publications Presentations and Others Conference Papers Invited Chapters Refereed Journals and Chapters Projects Students Current Students Masters Commitees Served Masters Supervised PhD Commitees Served PhDs Supervised About Me Beware Trumps A.I.s Rob Smith 1 week ago 1 min. read The Price of Love Rob Smith 3 months ago 1 min. read Of Box and BOXARR Rob Smith 6 months ago 1 min. read BOXARR & Brexit on Bloomberg (again) Rob Smith 6 months ago 1 min. read Do you still think you can escape, Number Six? 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All Rights Reserved Powered by Macho Themes Theme: Riba Lite Top x Search for: diff --git a/src/data/compiled_bios/1094.txt b/src/data/compiled_bios/1094.txt new file mode 100644 index 0000000000..1122d1bf88 --- /dev/null +++ b/src/data/compiled_bios/1094.txt @@ -0,0 +1 @@ + Srini Srinivasan Role Professor of Haptics Office 6.24 Office Location University College London Dept. of Computer Science Gower Street London WC1E 6BT United Kingdom Tel +44 (0)20 7679 7285 (Direct Dial) Internal 37285 Fax +44 (0)20 7387 1397 Email S.Srinivasan (at) cs.ucl.ac.uk Postal Address University College London Dept. of Computer Science Gower Street London WC1E 6BT United Kingdom Group Virtual Environments and Computer Graphics Personal Pages (None) diff --git a/src/data/compiled_bios/1095.txt b/src/data/compiled_bios/1095.txt new file mode 100644 index 0000000000..d1d3ce1412 --- /dev/null +++ b/src/data/compiled_bios/1095.txt @@ -0,0 +1 @@ + Home Teaching Project Suggestions Research Themes Projects Technology Completed Doctoral Students Publications Reviewing Consultancy Blog Timeline Contact Home Responsibilities I am a Professor in the Virtual Environments and Computer Graphics group in the Department of Computer Science , University College London . I am currently head of the group. My research area is real-time interactive virtual environments, with particular interest in virtual reality, augmented reality, novel forms of interaction, large-scale graphical models, collaborative systems and networking for tightly synchronous telecollaboration. The group runs a CAVE-like facility , a large tracking spaceand several other high-end virtual reality systems. Details of my active projects can be found here . I am first supervisorfor several doctoral students David Walton, Cristina Amati, Ben Congdon and Daniele Giunchi. I have three post-doctoral fellows, Sebastian Friston and Drew MacQuarrie .My teaching responsibilities can be found here . I am currently deputy head of department. I was director of the Engineering Doctorate Centre in Virtual Environment, Imaging and Visualisation from 2005- 2013 and 2014-2018. Previously I was responsible for external relations for the department and I remain active in a number of technology transfer initiatives. I also consult to a small number of companies in areas related to graphics or new media. I was afounder and board member ofASIO Ltd,creators of Chirp . See personal pages about me. For my Office Hours , please my contact page . I have co-authored two books: Networked Graphics by myself and Manuel Oliveira published in 2010 Computer Graphics and Virtual Environments: From Realism to Real-Time by Mel Slater, Yiorgos Chrysanthou and I 2 books News & Announcements Sabbatical Part 2 8th February 2019 - 2:38 am Sabbatical 17th September 2018 - 5:31 pm MRes Virtual Reality 11th July 2017 - 12:42 pm top Sabbatical I am on sabbatical for most of the academic year from 2018-2019. Office My office is in 66-72 Gower Street, room 4.13. The Bottom Line In my role as CTO of ASIO Ltd ( chirp.io ) I was on BBC Radio 4s The Bottom Line talking about apps. Listen/watch again here . Latency Tracking Matlab code, example data and example applications available here . CAVE If you are interested in following up the recent Guardian and BBC articles on the CAVE laboratory, please see this page , or contact David Swapp or I. Jobs and Studentships In late 2015/early 2016I will be looking to recruit a PhD student for a funded place. The topic will be interactive description of large-scale virtual environments. I am happy to receive applicationson topics related to 3D user interfaces, virtual reality, networked virtual reality protocols, massive models, haptics and telepresence. 1 2 3 4 5 6 Tweets Tweets by anthony_steed Recent Posts Sabbatical Part 2 Sabbatical MRes Virtual Reality IEEE VGTC Technical Achievement Award ICAT-EGVE 2015 Twitter Blog Sabbatical Part 2 8th February 2019 Sabbatical 17th September 2018 MRes Virtual Reality 11th July 2017 IEEE VGTC Technical Achievement Award 5th May 2016 ICAT-EGVE 2015 4th November 2015 Pages Home Teaching Research Publications Consultancy Blog Contact Categories Uncategorised Address Professor Anthony Steed Department of Computer Science University College London Gower Street London WC1E 6BT United Kingdom Copyright - Anthony Steed - Wordpress Premium Theme by Kriesi University College London This website uses cookies More info OK diff --git a/src/data/compiled_bios/1096.txt b/src/data/compiled_bios/1096.txt new file mode 100644 index 0000000000..2ac802c3ed --- /dev/null +++ b/src/data/compiled_bios/1096.txt @@ -0,0 +1 @@ + Welcome! Home Publications Photography Contact CV Semantic Scholar GitHub KeyBase I am Pontus Stenetorp, * a researcher and educator that finds Natural Language Processing (NLP) and Machine Learning research to be fascinating. The widely-adopted text annotation and visualisation tool brat is one of my creations and since 2012 a majority of my work has been on representation learning ( Deep Learning ) for natural language. My current research focuses on end-to-end models that learns with a minimal amount of human supervision with a particular focus on allowing computers to pass real-world exams and is supported by the Paul G Allen Family Foundation . If you share any of my research interests, do have a look at my list of publications and if you have questions regarding my research, feel free to contact me . I also teach and supervise student research projects in my area of expertise, but do contact me well in advance of any project application deadline since I can only accept a limited number of students each term and the slots tend to fill up quickly. Currently, I am a Senior Research Associate at University College London (UCL) and a member of the Machine Reading Group lead by Reader Sebastian Riedel at the Department of Computer Science . I received a PhD from the University of Tokyo in 2013 and a MSc Eng from the Royal Institute of Technology (KTH) in 2010. In my spare time I contribute to the Julia programming language community, read plenty of books, and enjoy being a mediocre amateur photographer . * Technically my name is Pontus Lars Erik Saito Stenetorp or , but buy me a drink some time and I will tell you all about how I ended up with possibly the longest name in Japan and what it does to your average company customer database. Selected Publications Sonse Shimaoka, Pontus Stenetorp, Kentaro Inui, Sebastian Riedel. Neural Architectures for Fine-grained Entity Type Classification. April 2017. Guillaume Bouchard, Pontus Stenetorp, Sebastian Riedel. Learning to Generate Textual Data. November 2016. Hubert Soyer, Pontus Stenetorp, Akiko Aizawa. Leveraging Monolingual Data for Crosslingual Compositional Word Representations. May 2015. Pontus Stenetorp. Transition-based Dependency Parsing Using Recursive Neural Networks. December 2013. Pontus Stenetorp, Sampo Pyysalo, Goran Topi, Tomoko Ohta, Sophia Ananiadou, Jun'ichi Tsujii. brat: a Web-based Tool for NLP-Assisted Text Annotation. April 2012. For an exhaustive list, see my publication page . Activities Aug 7th-11th '18: Organising JuliaCon in London, England, UK. Feb 7th '18: Speaking at BBC Blue Room Presents: Machine Learning Fireside Chats in London, England, UK. Feb 2nd '18: Speaking at the University of Edinburgh in Edinburgh, Scotland, UK. Dec 22nd '17: Speaking at the Tokyo Institute of Technology in Tokyo, Japan. Dec 21st '17: Speaking at the University of Tokyo in Tokyo, Japan. Dec 19th '17: Speaking at the RIKEN Center for Advanced Intelligence Project (AIP) in Tokyo, Japan. Dec 18th '17: Speaking at Tohoku University in Sendai, Japan. 2011-2018 Pontus Stenetorp diff --git a/src/data/compiled_bios/1097.txt b/src/data/compiled_bios/1097.txt new file mode 100644 index 0000000000..7a0351ae14 --- /dev/null +++ b/src/data/compiled_bios/1097.txt @@ -0,0 +1 @@ + Skip to content Surgical Robot Vision Research team in the Wellcome / EPSRC Centre for Interventional and Surgical Sciences (WEISS) Menu HOME PEOPLE PUBLICATIONS PROJECTS RESOURCES CONTACT Oops! That page cant be found. It looks like nothing was found at this location. Maybe try one of the links below or a search? Search for: Archives Try looking in the monthly archives. :) Archives Select Month AFFILIATIONS Surgical Robot Vision Customise Sign up Log in Report this content Manage subscriptions diff --git a/src/data/compiled_bios/1098.txt b/src/data/compiled_bios/1098.txt new file mode 100644 index 0000000000..fc420bdc12 --- /dev/null +++ b/src/data/compiled_bios/1098.txt @@ -0,0 +1 @@ + Toggle navigation Gianluca Stringhini Publications Service Lab Curriculum Vitae Gianluca Stringhini Assistant Professor ECE Department Boston University gian (at) bu.edu I am looking for students interested in working in data-driven methods for system security, cybercrime analysis, and cybersafety! If you are interested, drop me an email. ABOUT ME I am an Assistant Professor in the Department of Electrical and Computer Engineering at Boston University, where I co-direct the Security Lab (SeclaBU) . Between 2014 and 2018 I was faculty in the Departments of Computer Science and Security and Crime Science at University College London (UCL). I am part of the International Secure Systems Lab and the iDrama Lab , I am affiliated faculty in the Computer Science Department at BU and visiting faculty in the Information Security Group at UCL . I was awarded a Facebook Secure the Internet Grant in 2018, a UCL BEAMS Future Leaders in Engineering and Physical Sciences Award in 2016, a Google Research Award in 2015, the Outstanding Dissertation Award from the Department of Computer Science at UCSB in 2014, and a Symantec Research Labs Graduate Fellowship in 2012. MY RESEARCH In my research I apply a data-driven approach to better understand malicious activity on the Internet. Through the collection and analysis of large-scale datasets, I develop novel and robust mitigation techniques to make the Internet a safer place. My research involves a mix of quantitative analysis, (some) qualitative analysis, machine learning, crime science, and systems design. As examples, recently I have been investigating the spread of alternative news and memes on online social networks, raids organized by trolls against other Internet users, cyberbullying , ransomware , online dating scams , money laundering schemes linked to cybercrime, malware delivery networks , and online social network compromises . My research is supported by the EPSRC , the EU Commission , Google , and Facebook . SELECTED MEDIA COVERAGE RECENT SELECTED PUBLICATIONS Who Watches the Watchmen: Exploring Complaints on the Web Damilola Ibosiola, Ignacio Castro, Gianluca Stringhini, Steve Uhlig, and Gareth Tyson. WWW, 2019. Tiresias: Predicting Security Events Through Deep Learning Yun Shen, Enrico Mariconti, Pierre-Antoine Verver, and Gianluca Stringhini. CCS, 2018. On the Origins of Memes by Means of Fringe Web Communities Savvas Zannettou, Tristan Caulfield, Jeremy Blackburn, Emiliano De Cristofaro, Michael Sirivianos, Gianluca Stringhini, and Guillermo Suarez-Tangil. IMC, 2018. Movie Pirates of the Caribbean: Exploring Illegal Streaming Cyberlockers Damilola Ibosiola, Benjamin Steer, Alvaro Garcia-Recuero, Gianluca Stringhini, Steve Uhlig, and Gareth Tyson. ICWSM, 2018. Understanding Web Archiving Services and Their (Mis)Use on Social Media Savvas Zannettou, Jeremy Blackburn, Emiliano De Cristofaro, Michael Sirivianos, and Gianluca Stringhini. ICWSM, 2018. You are your Metadata: Identification and Obfuscation of Social Media Users using Metadata Information Beatrice Perez, Mirco Musolesi, and Gianluca Stringhini. ICWSM, 2018. The Web Centipede: Understanding How Web Communities Influence Each Other Through the Lens of Mainstream and Alternative News Sources Savvas Zannettou, Tristan Caulfield, Emiliano De Cristofaro, Nicolas Kourtellis, Ilias Leontiadis, Michael Sirivianos, Gianuca Stringhini, and Jeremy Blackburn. IMC, 2017. POISED: Spotting Twitter Spam Off the Beaten Paths Shirin Nilizadeh, Francois Labreche, Alireza Sadighian, Jose Fernandez, Christopher Kruegel, Gianluca Stringhini, and Giovanni Vigna. CCS, 2017. Mean Birds: Detecting Aggression and Bullying on Twitter Despoina Chatzakou, Nicolas Kourtellis, Jeremy Blackburn, Emiliano De Cristofaro, Gianluca Stringhini, and Athena Vakali. WebSci, 2017. Kek, Cucks, and God Emperor Trump: A Measurement Study of 4chan's Politically Incorrect Forum and its Effects on the Web Gabriel Emile Hine, Jeremiah Onaolapo, Emiliano De Cristofaro, Nicolas Kourtellis, Ilias Leontiadis, Riginos Samaras, Gianluca Stringhini, and Jeremy Blackburn. ICWSM, 2017. PayBreak: Defense against cryptographic ransomware Eugene Kolodenker, William Koch, Gianluca Stringhini, and Manuel Egele. ASIACCS, 2017. What's in a Name? Understanding Profile Name Reuse on Twitter Enrico Mariconti, Jeremiah Onaolapo, Syed Sharique Ahmad, Nicolas Nikiforou, Manuel Egele, Nick Nikiforakis, and Gianluca Stringhini. WWW, 2017. MaMaDroid: Detecting Android Malware by Building Markov Chains of Behavioral Models Enrico Mariconti, Lucky Onwuzurike, Panagiotis Andriotis, Emiliano De Cristofaro, Gordon Ross, and Gianluca Stringhini. NDSS, 2017. What Happens After You Are Pwnd: Understanding The Use of Leaked Webmail Credentials In The Wild Jeremiah Onaolapo, Enrico Mariconti, and Gianluca Stringhini. IMC, 2016. SERVICE I am serving as program co-chair for the APWG eCrime Symposium . I am currently serving on multiple program committees including the ones for USENIX Security and IEEE Security and Privacy (Oakland) . You can find a complete list of my service here . diff --git a/src/data/compiled_bios/1099.txt b/src/data/compiled_bios/1099.txt new file mode 100644 index 0000000000..5b7dcb753c --- /dev/null +++ b/src/data/compiled_bios/1099.txt @@ -0,0 +1 @@ + Paolo Tasca Role Lecturer Office TBA Office Location University College London Dept. of Computer Science Gower Street London WC1E 6BT United Kingdom Tel +44 (0)20 7679 TBA (Direct Dial) Internal TBA Fax +44 (0)20 7387 1397 Email P.Tasca (at) cs.ucl.ac.uk Postal Address University College London Dept. of Computer Science Gower Street London WC1E 6BT United Kingdom Group Financial Computing and Analytics Personal Pages (None) diff --git a/src/data/compiled_bios/11.txt b/src/data/compiled_bios/11.txt new file mode 100644 index 0000000000..4daacfbd50 --- /dev/null +++ b/src/data/compiled_bios/11.txt @@ -0,0 +1 @@ + Matthew Caesar Associate Professor 3118 Siebel Center for Comp Sci 201 N. Goodwin Ave. Urbana Illinois 61801 (847) 323-2968 caesar@illinois.edu : Research Areas Systems and Networking For more information Matthew Caesar's home page Education Ph.D., Computer Science, University of California, Berkeley, 2007 . Research Interests Simplifying management and improving reliability of distributed systems and networks through principles of self-organization and self-diagnosis, with an emphasis on wide-are networks and networked systems. My research focuses on the design, analysis, and implementation of distributed systems and networks on the extremely large scale, with an emphasis on network operations, measurement, and availability. I am particularly interested in improving availability and performance of the Internet infrastructure, including routing, DNS, and data centers. Research Areas Systems and Networking For more information Matthew Caesar's home page . . For more information Matthew Caesar's home page . diff --git a/src/data/compiled_bios/110.txt b/src/data/compiled_bios/110.txt new file mode 100644 index 0000000000..91b3d620be --- /dev/null +++ b/src/data/compiled_bios/110.txt @@ -0,0 +1 @@ +Conor Walsh is the John L. Loeb Associate Professor of Engineering and Applied Sciences at the John A. Paulson Harvard School of Engineering and Applied Sciences and a Core Faculty Member at the Wyss Institute for Biologically Inspired Engineering.He is the is the founder of the Harvard Biodesign Lab, which brings together researchers from the engineering, industrial design, apparel, clinical and business communities to develop new disruptive robotic technologies for augmenting and restoring human performance. This research includes new approaches to the design, manufacture and control of wearable robotic devices and characterizing their performance through biomechanical and physiological studies so as to further the scientific understanding of how humans interact with such machines.Example application areas include, enhancing the mobility of healthy individuals, restoring the mobility of patients with gait deficits and assisting those with upper extremity weakness to perform activities of daily living. His group is also working on applying emerging meso-scale manufacturing approaches to the design of smart medical tools for the minimally invasive diagnosis and treatment of disease.He is passionate about educating future innovators and he has established the Harvard Medical Device Innovation Initiative that provides students with the opportunity to collaborate with clinicians in Boston and emerging regions such as India. In addition, his research group is also dedicated to STEM education and have launched the Soft Robotics Toolkit that is an open source resource to promote and disseminate materials for soft robotics.He is the winner of multiple wards including the MIT Technology Review Innovator Under 35 Award, Best Paper Award at the 2015 International Conference on Rehabilitation Robotics, National Science Foundation Career Award, the Robotics Business Review Next generation Game Changer Award and the MIT 100K Entrepreneurship Competition Grand Prize. Conor received his B.A.I and B.A. degrees in Mechanical and Manufacturing engineering from Trinity College in Dublin, Ireland, in 2003, and M.S. and Ph.D. degrees in Mechanical Engineering from the Massachusetts Institute of Technology in 2006 and 2010. diff --git a/src/data/compiled_bios/1100.txt b/src/data/compiled_bios/1100.txt new file mode 100644 index 0000000000..295cb43574 --- /dev/null +++ b/src/data/compiled_bios/1100.txt @@ -0,0 +1 @@ + About me Publications Google Scholar Stefano Vissicchio Lecturer @ UCL s.vissicchio (at) cs (dot) ucl (dot) ac (dot) uk University College London Department of Computer Science Gower Street London, WC1E 6BT, UK I have joined the Department of Computer Science at University College London in October 2016, after 4 years as post-doctoral researcher at Universite catholique de Louvain in Belgium and 3 years as PhD student at Roma Tre University in Italy. More information on my background is reported in the About me page. My research activity focuses on theory, algorithms and systems for efficiently and reliably managing communication networks. I always look for practical problems that are intellectually challenging to solve. And I strive to tackle such problems adopting a rigorous approach, based on leveraging the insights gained by theoretical analyses and formal tools to design new techniques, algorithms, and fully-fledged system prototypes. I currently have openings for PhD students . Successful candidates must pass the standard UCL admission process . If you are interested in working with me, don't hesitate to drop me an email! News Teaching Research Overview Selected Publications Software News Latest updates on my professional activity. December 2018: Francois presented our paper on robustly disjoint paths at CoNext. November 2018: Edgar presented our paper on hardware-accelerated control-planes at HotNets. September 2018: our paper on implementing control plane (functions) in programmable *hardware* has been accepted at HotNets 2018 September 2018: our work on configuring paths that remain disjoint after failures has been accepted for publication at CoNext 2018 August 2018: participation in SIGCOMM 2018, where Nikola presented our work on low-delay routing in ISPs ( slides , video ) July 2018: Computer Communications has accepted our measurement study on the correlation between routing changes and data-plane packet losses in an operational ISP network (Renater) July 2018: participation in Coseners 2018, the UK Academic Meeting on Systems and Networks May 2018: honored to have been a member of the PhD thesis committee of Renaud Hartert, from UCLouvain May 2018: our work on the interplay between path allocation, topology design and input traffic for low-latency routing within ISPs has been accepted at SIGCOMM 2018! April 2018: participation in NSDI 2018 and INFOCOM 2018. In the former, Olivier Tilmans presented our paper on Stroboscope ( slides and video ) March 2018: TPC member for INFOCOM 2019 December 2017: Stroboscope , our monitoring-on-a-budget system for ISPs, has been accepted at NSDI 2018! December 2017: TPC member for SIGCOMM 2018 November 2017: participation in IMC 2017 October 2017: our position paper on low latency routing on "meshy" ISPs has been accepted at Hotnets 2017 October 2017: REPETITA, our proposal to ease repeatable experiments on traffic engineering algorithms (with data on more than 250 topologies, implementation of segmnent routing algorithms, and easy-to-run analyses), is publicly available: Check out our arXiv paper , and our GitHub repository ! Teaching I am currently involved in teaching the following courses. Networked Systems (Fall 2018), co-led with Mark Handley. Design and Professional Skills (Fall 2018), co-led with Mark Handley. My past teaching activity encompasses: co-teaching Network Systems (Fall 2017) with Mark Handley; co-teaching Design and Professional Skills (Fall 2017) with George Danezis; being teaching assistant and provide individual lectures in Advanced and Basic Networking courses at UCLouvain (2012-2016) and at Roma Tre (2009-2011). Research Overview An overview of the main topics on which my research activity has focused. Partially centralized networked systems : Theory, architecture and techniques to profitably combine centralized (SDN) and distributed (traditional) control-planes, for the greater good. Our contributions range from an overview of the research space ( CCR11 ) and a general control-plane theory ( INFOCOM15 ) to concrete architectures and techniques (like Fibbing , DEFO , and IBSDN ). Fine-grained monitoring : Architectures and systems for advanced monitoring and anomaly detection. Mainly, we proposed and assessed the feasibility of control-plane message collectors based on packet cloning ( INM10 ), traffic-matrix estimators based on programmable routers ( PRESTO10 ), warning systems for BGP policy violations ( TNSM16 ), hardware-bug detectors exploiting segment routing ( SCMon ), and generic, fine-grained traffic monitoring systems for ISPs ( Mille-feuille , Stroboscope ). Network updates : Complexity results, algorithms and systems to change packet-forwarding paths in a running network with guaranteed service continuity. We considered several network-update problems, in IGP-only (like SIGCOMM11 and ToN15a ), BGP-running (see INFOCOM13 and ToN13 ), SDN (especially, FLIP ) and generic multi control-plane ( INFOCOM15 , ToN17 ) networks. Network testing : Methodologies, techniques and tools for checking control-plane correctness before deployment on production networks. Our contributions span configuration checkers for distributed protocols in traditional networks ( TNSM11 , ToN15b ), and black-box testing of OpenFlow controllers ( TASTE ). Routing theory : Graph-based modeling and formal analysis of distributed network protocols, notably policy-based routing ones as BGP. Our main results include the characterizations of the BGP expressive power and complexity of related routing problems ( ICNP13 ), as well as the identification of sufficient and necessary conditions for guaranteed configuration correctness ( ICNP09 , INFOCOM12 ). Measurements : Analyses of active measurements on Internet routing. We conducted large-scale measurement campaign to support key claims in our papers (see, for example, the ToN15b paper on iBGP Policies). We have also performed bias analyses of existing measurement infrastructures, including distributed platforms as RIPE Atlas ( IMC13 ) and publicly-available datasets like RIS/Routeviews BGP ones ( Networking14 ). Selected Publications Hereafter, a list of the most important articles that I have co-authored (with many great collaborators!). A complete list is available on my Publications page. N. Gvozdiev, S. Vissicchio, B. Karp, M. Handley. On Low-Latency-Capable Topologies, and their Impact on the Design of Intra-domain Routing. In Proc. SIGCOMM, 2018. (paper) (slides) (talk) O. Tilmans, T. Buhler, I. Poese, S. Vissicchio, L. Vanbever. Stroboscope: Declarative Network Monitoring on a Budget. In Proc. NSDI, 2018. (paper) (talk) (Web site) T. Holterbach, S. Vissicchio, A. Dainotti, L. Vanbever. SWIFT: Predictive Fast Reroute. In Proc. SIGCOMM, 2017. (paper) (talk) (Web site) S. Vissicchio, L. Cittadini. FLIP the (Flow) Table: Fast LIghtweight Policy-preserving SDN Updates. In Proc. INFOCOM, 2016. (paper) (talk) (journal version) Selected as INFOCOM 2016 Best Paper Award Runner-up S. Vissicchio, O. Tilmans, L. Vanbever, J. Rexford. Central Control over Distributed Routing. In Proc. SIGCOMM 2015. (paper) (talk) (Web site) Selected as SIGCOMM 2015 Best Paper, awarded with the IRTF Applied Network Research Prize 2016 R. Hartert, S. Vissicchio, P. Schaus, O. Bonaventure, C. Filsfils, T. Telkamp, P. Francois. A Declarative and Expressive Approach to Control Forwarding Paths in Carrier-Grade Networks. In Proc. SIGCOMM 2015. (paper) (talk) (Web site) S. Vissicchio, L. Cittadini, G. G. Xie, O. Bonaventure, L. Vanbever. On the Co-Existence of Distributed and Centralized Routing Control-Planes. In Proc. INFOCOM, 2015. (paper) (talk) S. Vissicchio, L. Vanbever, O. Bonaventure. Opportunities and Research Challenges of Hybrid Software Defined Networks. ACM SIGCOMM Computer Communications Review. 44(2):70- 75. April 2014. (paper) M. Chiesa, L. Cittadini, G. Di Battista, L. Vanbever, S. Vissicchio. Using Routers to Build Logic Circuits: How Powerful is BGP? In Proc. ICNP, 2013. (paper) Selected as ICNP 2013 Best Paper S. Vissicchio, L. Vanbever, C. Pelsser, L. Cittadini, P. Francois, O. Bonaventure. Improving Network Agility with Seamless BGP Reconfigurations. IEEE/ACM Transactions on Networking. 21(3):990-1002. June 2013. (paper) Awarded with the IRTF Applied Network Research Prize 2013 C. Pelsser, L. Cittadini, S. Vissicchio, R. Bush. From Paris to Tokyo: On the Suitability of ping to Measure Latency. In Proc. IMC, 2013. (paper) L. Vanbever, S. Vissicchio, C. Pelsser, P. Francois, O. Bonaventure. Seamless Network-Wide IGP Migrations. In Proc. SIGCOMM, 2011. (paper) L. Cittadini, G. Di Battista, M. Rimondini, S. Vissicchio. Wheel + Ring = Reel: the Impact of Route Filtering on the Stability of Policy Routing. In Proc. ICNP, 2009. (paper) Software Some pointers to the code produced with my collaborators and myself for our research projects. REPETITA : a software framework for repeatable experiments on traffic engineering (TE) algorithms. It includes more than 250 real topologies, the implementation of state of the art TE algorithms (with IGP weight optimization and segment routing), and easy-to-run analyses SWIFT inference algorithm and VM : predictively rerouting traffic to drastically speed up reaction to remote inter-domain failures Fibbing controller : profitably using distributed routing protocols for centralized control DEFO optimization module : optimizing forwarding paths with Constraint Programming FLIP algorithm : computing fast, low-memory and policy-preserving updates of OpenFlow networks by combining rule replacements and tag-and-match operations Hybrid SDN update algorithms : guaranteeing usage of either initial or final paths throughout the update of traditional, SDN and mixed networks SCMon prototype : monitoring an entire network from a single box with Segment Routing diff --git a/src/data/compiled_bios/1101.txt b/src/data/compiled_bios/1101.txt new file mode 100644 index 0000000000..589fe5dfd2 --- /dev/null +++ b/src/data/compiled_bios/1101.txt @@ -0,0 +1 @@ + Navigation FrontPage Publications Books ShortBio ProspectiveStudents Jun Wang Professor, Computer Science , University College London UCL Centre for Artificial Intelligence Email: jun.wang (at) cs.ucl.ac.uk Office: 3.08 66-72 Gower Street, London Turing Fellow, the Alan Turing Institute Co-founder, MediaGamma Ltd. I am looking for a few postdoctoral researchers on Reinforcement Learning, Multiagent Learning and their applications on search and recommendation. If interested, please contact me. Research Interests AI and Machine Learning, (Multi-agent) Reinforcement Learning and Control, and Neural Generative Models; Statistical Modeling of Information Retrieval, and Dynamic Information Retrieval; Data Mining, Personalization, and Collaborative Filtering (Recommender Systems); Computational Advertising and Real-time Bidding. Selected Recent Papers Explainable AI Explanation Mining: Post Hoc Interpretability of Latent Factor Models for Recommendation Systems Georgina Peake and Jun Wang KDD 2018 Bayesian Learning Thermostat-assisted continuously-tempered Hamiltonian Monte Carlo for Bayesian learning Rui Luo and Yaodong Yang and Jianhong Wang and Zhanxing Zhu and Jun Wang arXiv:1711.11511v3 , NIPS 2018 Multi-agent AI Probabilistic Recursive Reasoning for Multi-Agent Reinforcement Learning Ying Wen, Yaodong Yang, Rui Luo, Jun Wang, and Wei Pan ICLR 2019 Mean Field Multi-Agent Reinforcement Learning Yaodong Yang, Rui Luo, Minne Li, Ming Zhou, Weinan Zhang, and Jun Wang arXiv:1802.05438 , ICML 2018 Learning to Design Games: Strategic Environments in Deep Reinforcement Learning Haifeng Zhang, Jun Wang, Zhiming Zhou, Weinan Zhang, Ying Wen, Yong Yu, Wenxin Li arXiv:1707.01310v3 , IJCAI 2018 An Empirical Study of AI Population Dynamics with Million-agent Reinforcement Learning Lianmin Zheng, Jiacheng Yang, Han Cai, Weinan Zhang, Jun Wang, and Yong Yu arXiv:1709.04511v3 , AAMAS 18 Text/Discrete GANs Long Text Generation via Adversarial Training with Leaked Information Jiaxian Guo, Sidi Lu, Han Cai, Weinan Zhang, Yong Yu, and Jun Wang arXiv:1709.08624v1 , AAAI 2018 IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models Wang, Jun, Lantao Yu, Weinan Zhang, Yu Gong, Yinghui Xu, Benyou Wang, Peng Zhang, and Dell Zhang SIGIR ( Best Paper Award Honorable Mention ), 2017 SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient Lantao Yu, Weinan Zhang, Jun Wang, Yong Yu arXiv:1609.05473v6 , AAAI, 2017 Neural Generative Models Activation Maximization Generative Adversarial Nets Zhiming Zhou, Han Cai, Shu Rong, Yuxuan Song, Kan Ren, Weinan Zhang, Yong Yu, and Jun Wang arXiv:1703.02000v7 , ICLR 2018 A Neural Stochastic Volatility Model Rui Luo, Jun Wang, Weinan Zhang and Xiaojun Xu arXiv:1712.00504 , AAAI 2018 Adversarial Variational Inference for Tweedie Compound Poisson Models Yaodong Yang, Sergey Demyanov, Yunayuan Liu, Jun Wang arXiv:1706.05446v3 , ICML Workshop on Implicit Models , 2017 AutoML Reinforcement Learning for Architecture Search by Network Transformation Han Cai, Tianyao Chen, Weinan Zhang, Yong Yu, and Jun Wang arXiv:1707.04873v1 , AAAI 2018 For a full list, see my Google Scholar page . Demos Explanation Mining: Post Hoc Interpretability of Latent Factor Models for Recommendation Systems MAgent: A Many-Agent Reinforcement Learning Research Platform for Artificial Collective Intelligence Lianmin Zheng, Jiacheng Yang, Han Cai, Weinan Zhang, Jun Wang, and Yong Yu NIPS17 demo arXiv:1712.00600 , 2017 Multiagent Bidirectionally-Coordinated Nets: Emergence of Human-level Coordination in Learning to Play StarCraft Combat Games Peng Peng, Ying Wen, Yaodong Yang, Quan Yuan, Zhenkun Tang, Haitao Long, Jun Wang arXiv:1703.10069v4 , 2017 City Traffic Simulator/Optimizer Each moving dot is driven by a neural network-based reinforcement learning agent Collaborative Bots Sorting Parcels Books Display Advertising with Real-Time Bidding (RTB) and Behavioural Targeting Jun Wang, Weinan Zhang and Shuai Yuan (2017) Foundations and Trends in Information Retrieval : Vol. 11: No. 4-5, pp 297-435. Dynamic Information Retrieval Modeling Grace Hui Yang, Marc Sloan, and Jun Wang (2016) Synthesis Lectures on Information Concepts, Retrieval, and Services , 2016. Social Media Tweets by seawan Page generated 2019-02-12 14:30:15 GMT, by jemdoc+MathJax . diff --git a/src/data/compiled_bios/1102.txt b/src/data/compiled_bios/1102.txt new file mode 100644 index 0000000000..d1e2595f6c --- /dev/null +++ b/src/data/compiled_bios/1102.txt @@ -0,0 +1 @@ + Digital Reality Group Group Pages Tims Home Page Tim Weyrich Professor of Visual Computing email t.weyrich@cs.ucl.ac.uk [enable java script to see my email address] office GS66 5.04 office hrs Tuesdays, 34 PM (appointment required) address Dept of Computer Science University College London Gower Street, WC1E 6BT London Short Bio I am Professor of Visual Computing in the Virtual Environments and Computer Graphics group in the Department of Computer Science , University College London . Prior to coming to UCL, I was a Postdoctoral Teaching Fellow of Princeton University , working in the Princeton Computer Graphics Group , a post I took after having received my PhD from ETH Zurich , Switzerland, in 2006. My research interests are content creation, appearance modelling and fabrication, point-based graphics, 3D reconstruction, cultural heritage analysis and digital humanities. I am currently Deputy Director of the UCL Centre for Digital Humanities , and coordinator of the Innovate Training Network (ITN) DISTRO . I am member of the Steering Boards of the Eurographics Workshop on Graphics and Cultural Heritage, and of the UCL Centre for Digital Humanities, as well as member of the Executive Committee of Eurographics . I serve as Associate Editor for Elseview Computer & Graphics and am member of the Association for Historical and Fine Art Photography (AHFAP) , special interest group Libraries & Archives Imaging , of EPSRC College , BCS , ACM SIGGRAPH , Eurographics and of Gesellschaft fr Informatik . I co-lead the REF panel of UCL Computer Science. Past roles include Programme Director MSc ICT Innovation, University contact within EIT Digital and co-designer of the EIT Digital Master and Doctorate Schools; Associate Editor of Computer Graphics Forum; member of UCL's Athena SWAN Committee Computer Science; departmental Study Abroad and Affiliate Tutor. Support Staff Julia Savage Personal Assistant & Research Manager Doctoral Students Jacques Cal EngD Antonio Garca Castaeda PhD Joep Moritz EngD Gilles Rainer PhD Timothy Scully EngD Alejandro Sztrajman PhD Current Master Students Cline Dupuis Yuliya Gitlina Christos Makris Jing Quan Zhang Teaching Spring, 2019: COMP GV15 / M085 / 3085 - Computational Photography and Capture COMP GV16 - Research Methods and Reading Past courses: Spring, 2018: COMP GV15 / M085 / 3085 - Computational Photography and Capture COMP GV16 - Research Methods and Reading Spring, 20142015, 2017: COMP GV15 / M085 / 3085 - Computational Photography and Capture COMP GV16 - Research Methods and Reading BASC 2082 - Technology in Arts and Cultural Heritage Spring, 20102013: COMP GV14 / M074 - Advanced Modelling, Rendering and Animation COMP GV15 / M085 / 3085 - Computational Photography and Capture COMP GV16 - Research Methods and Reading Spring, 2009: COMP GV14 / M074 - Advanced Modelling, Rendering and Animation Past courses taught at Princeton University: Spring, 2008: COS 426 - Computer Graphics Spring, 2007: COS 598C / HLS 598 - Reconstructing the Thera Frescoes Fall, 2006: FRS 123 - Technology in Art and Cultural Heritage Erds No. : 3 Peer-Reviewed Publications 2019 Neural BTF Compression and Interpolation. Gilles Rainer, Wenzel Jakob, Abhijeet Ghosh, Tim Weyrich. To appear in Computer Graphics Forum (Proc. Eurographics) , 38(2), 10 pages, 2019. [ Web Page ] [ BibTeX ] 2018 Learning on the Edge: Explicit Boundary Handling in CNNs. Carlo Innamorati, Tobias Ritschel, Tim Weyrich, Niloy J. Mitra. Proc. British Machine Vision Conference {(BMVC)}} , 11 pages, Sep 2018. [ Web Page ] [ PDF (8.1MB) ] [ Supplemental Material (34MB) ] [ External Project Page ] [ BibTeX ] 2017 Comprehensive Use of Curvature For Robust And Accurate Online Surface Reconstruction. Damien Lefloch, Markus Kluge, Hamed Sarbolandi, Tim Weyrich, Andreas Kolb. In IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) , 39(12), pp.23492365, 2017. [ Web Page ] [ PDF (33 MB) ] [ Low-res PDF (1.3 MB) ] [ Video (YouTube) ] [ External Project Page ] [ BibTeX ] Scattering-aware Texture Reproduction for 3D Printing. Oskar Elek, Denis Sumin, Ran Zhang, Tim Weyrich, Karol Myszkowski, Bernd Bickel, Alexander Wilkie, Jaroslav Kivnek. ACM Transactions on Graphics (Proc. SIGGRAPH Asia) , 36(6), 241:1241:15, 2017. [ Web Page ] [ PDF (102MB) ] [ Low-res PDF (5.5MB) ] [ External Project Page ] [ BibTeX ] Object-Based Teaching And Learning For A Critical Assessment of Digital Technologies In Arts And Cultural Heritage. Mona Hess, Daniel Garside, Tonya Nelson, Stuart Robson, Tim Weyrich. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences (ISPRS) , XLII-2/W5, 349354, Ottawa, August 2017. [ Web Page ] [ PDF (1.7 MB) ] [ CIPA 2017 Presentation (3.4MB) ] [ CIPA 2017 Presentation Notes (1.8MB) ] [ BibTeX ] Decomposing Single Images for Layered Photo Retouching. Carlo Innamorati, Tobias Ritschel, Tim Weyrich, Niloy J. Mitra. Computer Graphics Forum (Proc. Eurographics Symposium on Rendering) , 36(4), pp.1525, July 2017. [ Web Page ] [ PDF (10 MB) ] [ Low-res PDF (2.6 MB) ] [ External Project Page (data, source code and videos) ] [ BibTeX ] Texture Stationarization: Turning Photos into Tileable Textures. Joep Moritz, Stuart James, Tom S. F. Haines, Tobias Ritschel, Tim Weyrich. Computer Graphics Forum (Proc. Eurographics) , 36(2), 13 pages, 2017. [ Web Page ] [ PDF (75 MB) ] [ Low-res PDF (5.4 MB) ] [ Supplemental Material (242MB) ] [ Supplemental Material (online demo) ] [ Fast-Forward Video (YouTube) ] [ BibTeX ] 2016 Digitally Reconstructing The Great Parchment Book: 3D recovery of fire-damaged historical documents. Kazim Pal, Nicola Avery, Pete Boston, Alberto Campagnolo, Caroline De Stefani, Helen Matheson-Pollock, Daniele Panozzo, Matthew Payne, Christian Schller, Chris Sanderson, Chris Scott, Philippa Smith, Rachel Smither, Olga Sorkine-Hornung, Ann Stewart, Emma Stewart, Patricia Stewart, Melissa Terras, Bernadette Walsh, Laurence Ward, Liz Yamada, Tim Weyrich. Literary and Linguistic Computing: the journal of digital scholarship in the humanities , pp.131, Oxford University Press, December 2016. [ Web Page ] [ PDF (26 MB) ] [ BibTeX ] [ Project Page (with source code) ] Investigating Design and Evaluation Guidelines for Interactive Presentation of Visual Art. Jeni Maleshkova, Matthew Purver, Tim Weyrich, Peter W. McOwan. Book chapter in Curating the Digital: Space for Art and Interaction , pp.125147, Springer, 2016. [ Web Page ] [ PDF on Publishers Site ] [ BibTeX ] Interactivity and User Engagement in Art Presentation Interfaces. Jeni Maleshkova, Matthew Purver, Tim Weyrich, Peter W. McOwan. Book chapter in Curating the Digital: Space for Art and Interaction , pp.107123, Springer, 2016. [ Web Page ] [ PDF on Publishers Site ] [ BibTeX ] 2015 Guided Ecological Simulation For Artistic Editing of Plant Distributions In Natural Scenes. Gwyneth A. Bradbury, Kartic Subr, Charalampos Koniaris, Kenny Mitchell, Tim Weyrich. Journal of Computer Graphics Techniques (JCGT) , 4(4), 2853, November 2015. Invited for oral presentation at i3D 2016. [ Web Page ] [ PDF (46.9MB) ] [ Low-res PDF (1.1MB) ] [ Video (YouTube) ] [ i3D 2016 Presentation (7.9MB) ] [ BibTeX ] The value of critical destruction: Evaluating multispectral image processing methods for the analysis of primary historical texts. Alejandro Giacometti, Alberto Campagnolo, Lindsay MacDonald, Simon Mahony, Stuart Robson, Tim Weyrich, Melissa Terras, Adam Gibson. In Digital Scholarship in the Humanities , pp. 122, October 2015. [ Web Page ] [ PDF (1.5MB) ] [ BibTeX ] A Survey of Geometric Analysis in Cultural Heritage. Ruggero Pintus, Kazim Pal, Ying Yang, Tim Weyrich, Enrico Gobbetti, Holly Rushmeier. In Computer Graphics Forum , August 6, pp. 128, August 2015. [ Web Page ] [ Low-res PDF (1.3MB) ] [ BibTeX ] Two-Shot SVBRDF Capture for Stationary Materials. Miika Aittala, Tim Weyrich, Jaakko Lehtinen. In ACM Transactions on Graphics (Proc. SIGGRAPH) , Vol. 34, No. 4, pp. 110:1110:13, August 2015. [ Web Page ] [ PDF (37MB) ] [ Low-res PDF (2.4MB) ] [ BibTeX ] [ External Project Page (with data and videos) ] Anisotropic Point-Based Fusion. Damien Lefloch, Tim Weyrich, Andreas Kolb. In Proc. of Intl. Conference on Information Fusion (Fusion) , pp. 19, Washington, D.C., USA, July 2015. [ Web Page ] [ PDF (14MB) ] [ External Project Page ] [ BibTeX ] 2014 Frequency-Based Editing for Terrain Generation. Gwyneth A. Bradbury, Il Choi, Cristina Amati, Kenny Mitchell, Tim Weyrich. In Proc. of 11th European Conference on Visual Media Production (CVMP) , pp. 110, London, UK, 1314 November 2014. [ Web Page ] [ PDF (27MB) ] [ Low-res PDF (6MB) ] [ BibTeX ] Geometric Analysis in Cultural Heritage. Ruggero Pintus, Kazim Pal, Ying Yang, Tim Weyrich, Enrico Gobbetti, Holly Rushmeier. In Proceedings of Eurographics Workshops on Graphics and Cultural Heritage , State-of-the-Art Report (STAR), pp. 117, Darmstadt, Germany, Germany, Oct 68, 2014. [ Web Page ] [ PDF (743KB) ] [ BibTeX ] A Study of Image Colourfulness. Cristina Amati, Niloy J. Mitra, Tim Weyrich. In Proc. of Expressive (CAe+SBIM+NPAR) , 9 pages, Vancouver, Canada, 810 August 2014. [ Project Page (with data) ] [ PDF (12MB) ] [ Low-res PDF (1.5MB) ] [ BibTeX ] Content-Aware Surface Parameterization for Interactive Restoration of Historical Documents. Kazim Pal, Christian Schller, Daniele Panozzo, Olga Sorkine-Hornung, Tim Weyrich. Computer Graphics Forum (Proc. Eurographics) , 33(2), 9 pages, 2014. [ Web Page ] [ PDF (43MB) ] [ Low-res PDF (6.7MB) ] [ Video (180MB) ] [ Video (You Tube) ] [ BibTeX ] [ Project Page (with source code) ] 2013 Supporting Interoperability and Presence Awareness in Collaborative Mixed Reality Environments. Oyewole Oyekoya, Ran Stone, William Steptoe, Laith Alkurdi, Stefan Klare, Angelika Peer, Tim Weyrich, Benjamin Cohen, Franco Tecchia, Anthony Steed. In Proc. of 19th ACM Symposium on Virtual Reality Software and Technology (VRST) , 69 October 2013. [ Web Page ] [ PDF (12MB) ] [ BibTeX ] Multi-Spectral Material Classification in Landscape Scenes Using Commodity Hardware. Gwyneth A. Bradbury, Kenny Mitchell, Tim Weyrich. Lecture Notes in Computer Science (Proc. Conf. on Computer Analysis of Images and Patterns, CAIP) , 8048, pp. 209216, August 2013. [ Web Page ] [ PDF (4.0MB) ] [ BibTeX ] 3D Reconstruction For Damaged Documents: Imaging of The Great Parchment Book. Kazim Pal, Melissa Terras, Tim Weyrich. In Proc. of 2nd Intl. Workshop on Historical Document Imaging and Processing , pp. 1421, Washington DC, 24 August, 2013. Selected for oral presentation. [ Web Page ] [ PDF (13MB) ] [ BibTeX ] [ Project Page (with source code) ] Practical SVBRDF Capture In The Frequency Domain. Miika Aittala, Tim Weyrich, Jaakko Lehtinen. ACM Transactions on Graphics (Proc. SIGGRAPH) , 32(4), 12 pages, 2013. [ Web Page ] [ PDF (54MB) ] [ Low-res PDF (2.4MB) ] [ BibTeX ] [ External Project Page (with source code) ] Real-time 3D Reconstruction in Dynamic Scenes using Point-based Fusion. Maik Keller, Damien Lefloch, Martin Lambers, Shahram Izadi, Tim Weyrich, Andreas Kolb. In Proc. of Joint 3DIM/3DPVT Conference (3DV) , 8 pages, Seattle, USA, June 2013. Selected for oral presentation. [ Web Page ] [ PDF (2.3MB) ] [ Video (YouTube) ] [ External Project Page ] [ BibTeX ] Interactive Exploration and Flattening of Deformed Historical Documents. Kazim Pal, Melissa Terras, Tim Weyrich. Computer Graphics Forum (Proc. Eurographics) , 32(2), pp. 327334, 2013. [ Web Page ] [ PDF (7.5MB) ] [ Video (7.4MB) ] [ BibTeX ] [ Project Page (with source code) ] PanoInserts: Practical Spatial Teleconferencing. Fabrizio Pece, William Steptoe, Fabian Wanner, Simon Julier, Tim Weyrich, Jan Kautz, Anthony Steed. In Proc. of ACM SIGCHI Conference on Human Factors in Computing Systems (CHI) , pp. 13191328, 2013. ACM SIGCHI Best paper Honourable Mention Award. [ Web Page ] [ PDF (34MB) ] [ Low-res PDF (0.5MB) ] [ BibTeX ] Multispectral imaging of degraded parchment. Lindsay MacDonald, Alejandro Giacometti, Alberto Campagnolo, Stuart Robson, Tim Weyrich, Melissa Terras, Adam Gibson. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) , 7786, pp. 143157, March 2013. [ Web Page ] [ PDF (5MB) ] [ BibTeX ] 2012 3D-Printing of Non-Assembly, Articulated Models. Jacques Cali, Dan Calian, Cristina Amati, Rebecca Kleinberger, Anthony Steed, Jan Kautz, Tim Weyrich. ACM Transactions on Graphics (Proc. SIGGRAPH Asia) , 31(6), pp. 130:1130:8, 2012. [ Web Page ] [ PDF (15MB) ] [ Low-res PDF (0.5MB) ] [ Video (77MB) ] [ BibTeX ] Acting Rehearsal in Collaborative Multimodal Mixed Reality Environments. William Steptoe, Jean-Marie Normand, Oyewole Oyekoya, Fabrizio Pece, Elias Giannopoulos, Franco Tecchia, Anthony Steed, Tim Weyrich, Jan Kautz, Mel Slater. PRESENCE: Teleoperators and Virtual Environments , 21(4), pp. 406422, 2012. [ Web Page ] [ PDF (6.3MB) ] [ BibTeX ] Beaming: An Asymmetric Telepresence System. Anthony Steed, William Steptoe, Oyewole Oyekoya, Fabrizio Pece, Tim Weyrich, Jan Kautz, Doron Friedman, Angelika Peer, Massimiliano Solazzi, Franco Tecchia, Massimo Bergamasco, Mel Slater. IEEE Computer Graphics and Applications , 32(6), pp. 1017, 2012. [ Web Page ] [ BibTeX ] [ PDF on Publishers Site ] Analyzing and Simulating Fracture Patterns of Theran Wall Paintings. Hijung Shin, Christos Doumas, Thomas Funkhouser, Szymon Rusinkiewicz, Kenneth Steglitz, Andreas Vlachopoulos, Tim Weyrich. ACM Journal of Computing and Cultural Heritage (JOCCH) , 5(3), pp. 10:110:14, 2012. [ Web Page ] [ PDF (0.7MB) ] [ BibTeX ] Tools for Virtual Reassembly of Fresco Fragments. Benedict Brown, Lara Laken, Philip Dutr, Luc van Gool, Szymon Rusinkiewicz, Tim Weyrich. International Journal of Heritage in the Digital Era , Vol. 1, No. 2, pp. 313330, 2012. [ Web Page ] [ PDF (8.4MB) ] [ BibTeX ] A fully immersive set-up for remote interaction and neurorehabilitation based on virtual body ownership. Daniel Perez-Marcos, Massimiliano Solazzi, William Steptoe, Oyewole Oyekoya, Antonio Frisoli, Tim Weyrich, Anthony Steed, Franco Tecchia, Mel Slater, Maria V. Sanchez-Vives. Frontiers in Neurology , Vol. 3, No. 110, pp. 19, 2012. [ Web Page ] [ PDF (2.5MB) ] [ Publisher Link ] [ BibTeX ] Cultural heritage destruction: Documenting parchment degradation via multispectral imaging. Alejandro Giacometti, Alberto Campagnolo, Lindsay MacDonald, Simon Mahony, Melissa Terras, Stuart Robson, Tim Weyrich, Adam Gibson. In Proc. of Electronic Visualisation and the Arts (EVA 2012) , pp. 301308, July 2012. [ Web Page ] [ PDF (2MB) ] [ BibTeX ] 2011 Global Consistency in the Automatic Assembly of Fragmented Artefacts. Antonio Garca Castaeda, Benedict Brown, Szymon Rusinkiewicz, Thomas Funkhouser, Tim Weyrich. In Proc. of 12th Intl. Symposium on Virtual Reality, Archaeology and Cultural Heritage (VAST) , Prato (Italy), October 2011. [ Web Page ] [ PDF (33MB) ] [ BibTeX ] Adapting Standard Video Codecs for Depth Streaming. Fabrizio Pece, Jan Kautz, Tim Weyrich. In Proc. of Joint Virtual Reality Conference of EuroVR (JVRC) , pp. 18, Nottingham, UK, Sep 2011. [ Web Page ] [ PDF (12MB) ] [ BibTeX ] Capturing Time-of-Flight Data with Confidence. Malcolm Reynolds, Jozef Dobos, Leto Peel, Tim Weyrich, Gabriel Brostow. In Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , pp. 18, Colorado Springs, June 2011. [ Web Page ] [ PDF (3.5MB) ] [ BibTeX ] Goal-Based Caustics. Marios Papas, Wojciech Jarosz, Wenzel Jakob, Szymon Rusinkiewicz, Wojciech Matusik, Tim Weyrich. Computer Graphics Forum (Proc. Eurographics 2011) , Vol. 30, No. 2, pp. 503511, June 2011. [ Web Page ] [ PDF (20MB) ] [ Video (50MB) ] [ BibTeX ] Learning How to Match Fresco Fragments. Thomas Funkhouser, Hijung Shin, Corey Toler-Franklin, Antonio Garca Castaeda, Benedict Brown, David Dobkin, Szymon Rusinkiewicz, Tim Weyrich. In Eurographics 2011 Special Area Track on Cultural Heritage , April 2011. [ Web Page ] [ PDF (1.1MB) ] [ BibTeX ] 2010 Multi-Feature Matching of Fresco Fragments. Corey Toler-Franklin, Benedict Brown, Tim Weyrich, Thomas Funkhouser, Szymon Rusinkiewicz. ACM Transactions on Graphics (Proc. SIGGRAPH Asia) , Vol. 29, No. 5, pp. 185:1185:11, Seoul, 2010. [ Web Page ] [ PDF (3.7MB) ] [ BibTeX ] A Practical Appearance Model for Dynamic Facial Color. Jorge Jimenez, Timothy Scully, Nuno Barbosa, Craig Donner, Xenxo Alvarez, Teresa Vieira, Paul Matts, Veronica Orvalho, Diego Gutierrez, Tim Weyrich. ACM Transactions on Graphics (Proc. SIGGRAPH Asia) , Vol. 29, No. 5, pp. 141:1141:8, Seoul, 2010. [ Web Page ] [ PDF (26MB) ] [ Video (25MB) ] [ BibTeX ] Tools for Virtual Reassembly of Fresco Fragments. Benedict Brown, Lara Laken, Philip Dutr, Luc van Gool, Szymon Rusinkiewicz, Tim Weyrich. In Proc. of 7th Intl. Conference on Science and Technology in Archaeology and Conservations , pp. 110, December 2010. [ Web Page ] [ PDF (38MB) ] [ Low-res PDF (1.2MB) ] [ BibTeX ] Density-based Outlier Rejection in Monte Carlo Rendering. Christopher DeCoro, Tim Weyrich, Szymon Rusinkiewicz. Computer Graphics Forum (Proc. of Pacific Graphics) , Vol. 29, No. 7, pp. 7:17:7, September 2010. [ Web Page ] [ PDF (11MB) ] [ Low-res PDF (476KB) ] [ Video (11MB) ] [ BibTeX ] Analyzing Fracture Patterns in Theran Wall Paintings. Hijung Shin, Christos Doumas, Thomas Funkhouser, Szymon Rusinkiewicz, Kenneth Steglitz, Andreas Vlachopoulos, Tim Weyrich. In Proc. of 11th Intl. Symp. on Virtual Reality, Archaeology and Cultural Heritage (VAST) , September 2010. [ Web Page ] [ PDF (2.0MB) ] [ BibTeX ] Motion Blur for EWA Surface Splatting. Simon Heinzle, Johanna Wolf, Yoshihiro Kanamori, Tim Weyrich, Tomoyuki Nishita, Markus Gross. Computer Graphics Forum (Proc. Eurographics 2010) , Vol. 29, No. 2, pp. 733742, June 2010. [ Web Page ] [ PDF (11MB) ] [ BibTeX ] 2009 Fabricating Microgeometry for Custom Surface Reflectance. Tim Weyrich, Pieter Peers, Wojciech Matusik, Szymon Rusinkiewicz. ACM Transactions on Graphics (Proc. SIGGRAPH) , New Orleans, LA, 2009. [ Web Page ] [ PDF (10MB) ] [ Low-res PDF (424KB) ] [ Slides (17MB PDF) ] [ Talk as Quicktime (37MB) ] [ Talk as Keynote Sources (12MB) ] [ BibTeX ] Modeling Human Color Perception under Extended Luminance Levels. Min H. Kim, Tim Weyrich, Jan Kautz. ACM Transactions on Graphics (Proc. SIGGRAPH) , Vol. 28, No. 3, pp. 27:127:9, New Orleans, LA, 2009. [ Web Page ] [ PDF (15MB) ] [ Low-res PDF (2.7MB) ] [ Supplemental Material (11MB) ] [ readme.txt ] [ BibTeX ] Fingerprinting Blank Paper Using Commodity Scanners. William Clarkson, Tim Weyrich, Adam Finkelstein, Nadia Heninger, J. Alex Halderman, Edward W. Felten. In Proc. of IEEE Symposium on Security and Privacy , 1720 May 2009, Berkeley, CA. [ Web Page ] [ PDF ] [ BibTeX ] Principles of Appearance Acquisition and Representation. Tim Weyrich, Jason Lawrence, Hendrik P. A. Lensch, Szymon Rusinkiewicz, Todd Zickler. Foundations and Trends in Computer Graphics and Vision , Vol. 4, No. 2, pp. 75-191, 2008 (appeared in 2009). [ Web Page ] [ BibTeX ] [ PDF on Publishers Site ] 2008 A Layered, Heterogeneous Reflectance Model for Acquiring and Rendering Human Skin. Craig Donner, Tim Weyrich, Eugene dEon, Ravi Ramamoorthi, Szymon Rusinkiewicz. ACM Transactions on Graphics (Proc. SIGGRAPH Asia) , Vol. 27, No. 5, pp. 140:1140:12, Singapore, 2008. [ Web Page ] [ PDF ] [ BibTeX ] A System for High-Volume Acquisition and Matching of Fresco Fragments: Reassembling Theran Wall Paintings. Benedict Brown, Corey Toler-Franklin, Diego Nehab, Michael Burns, Andreas Vlachopoulos, Christos Doumas, David Dobkin, Szymon Rusinkiewicz, Tim Weyrich. ACM Transactions on Graphics (Proc. SIGGRAPH) , Vol. 26, No. 3, pp. 84:184:9, Los Angeles, CA, 2008. [ Web Page ] [ PDF ] [ Video ] [ Princeton Press Release ] [ BibTeX ] Dense 3D Reconstruction from Specularity Consistency. Diego Nehab, Tim Weyrich, Szymon Rusinkiewicz. In Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , pp. 18, Anchorage, AK, 2008. [ Web Page ] [ PDF ] [ BibTeX ] 2007 Digital Processing. Tim Weyrich, Matthias Zwicker, Mark Pauly, Markus Gross, Martin Wicke, Leif Kobbelt. Book chapter in Point-Based Graphics , pp.186244, Morgan Kaufmann, 2007. [ Web Page ] [ PDF on Science Direct ] [ BibTeX ] A Hardware Architecture for Surface Splatting. Tim Weyrich, Simon Heinzle, Timo Aila, Daniel B. Fasnacht, Stephan Oetiker, Mario Botsch, Cyril Flaig, Simon Mall, Kaspar Rohrer, Norbert Felber, Hubert Kaeslin, Markus Gross. In ACM Transactions on Graphics (Proc. SIGGRAPH) , 26, 3 (Jul. 2007), 90:190:11, Los Angeles, CA, 2007. [ Web Page ] [ PDF ] [ Video ] [ BibTeX ] Digital Bas-Relief From 3D Scenes. Tim Weyrich, Jia Deng, Connelly Barnes, Szymon Rusinkiewicz, Adam Finkelstein. ACM Transactions on Graphics (Proc. SIGGRAPH) , 26, 3 (Jul. 2007), 32 (7 pp.), Los Angeles, CA, 2007. [ Web Page ] [ PDF (12MB) ] [ Slides PDF (17MB) ] [ BibTeX ] 2006 Analysis of Human Faces using a Measurement-Based Skin Reflectance Model. Tim Weyrich, Wojciech Matusik, Hanspeter Pfister, Bernd Bickel, Craig Donner, Chien Tu, Janet McAndless, Jinho Lee, Addy Ngan, Henrik Wann Jensen, Markus Gross. ACM Transactions on Graphics (Proc. SIGGRAPH) , pp. 10131024, Boston, MA, July 2006. [ Web Page ] [ PDF ] [ Video ] [ MERL/ETH Skin Reflectance Database ] [ BibTeX ] GPU-Based Ray Casting of Quadratic Surfaces. Christian Sigg, Tim Weyrich, Mario Botsch, Markus Gross. In Proceedings of Eurographics Symposium on Point-Based Graphics , July 29-30, 2006, Boston. [ Web Page ] [ PDF ] [ Video ] [ Errata ] [ BibTeX ] Acquisition of Human Faces Using A Measurement-Based Skin Reflectance Model. Tim Weyrich. PhD thesis No. 16741 , Department of Computer Science, ETH Zrich, 2006. [ Web Page ] [ PDF (61MB) ] [ Low-res PDF (8.7MB) ] [ BibTeX ] 2005 A Practical Structured Light Acquisition System for Point-Based Geometry and Texture. Filip Sadlo, Tim Weyrich, Ronny Peikert, Markus Gross. In Proceedings of Eurographics Symposium on Point-Based Graphics 2005 , pp. 8998, Stony Brook, USA, June 2122. [ Web Page ] [ PDF ] [ BibTeX ] Rendering Deformable Surface Reflectance Fields. Tim Weyrich, Hanspeter Pfister, Markus Gross. IEEE Transactions on Visualization and Computer Graphics , Vol. 11, Issue 1, pp. 4858, JanFeb 2005. [ Web Page ] [ PDF ] [ Video 1 ] [ Video 2 ] [ Video 3 ] [ BibTeX ] 2004 Robust Watermarking of Point-Sampled Geometry. Daniel Cotting, Tim Weyrich, Mark Pauly, Markus Gross. In Proceedings of International Conference on Shape Modeling and Applications (SMI) , pp. 233242, Genova, Italy, June 7-9, 2004. [ Web Page ] [ PDF ] [ BibTeX ] Post-processing of Scanned 3D Surface Data. Tim Weyrich, Mark Pauly, Richard Keiser, Simon Heinzle, Sascha Scandella, Markus Gross. In Proceedings of Eurographics Symposium on Point-Based Graphics , pp. 8594, Zurich, Switzerland, Jun 2-4, 2004. [ Web Page ] [ PDF ] [ BibTeX ] 2002 Using a Panoramic Camera for 3D Head Tracking in an AR Environment. Bjrn Giesler, Tobias Salb, Tim Weyrich, Rdiger Dillmann. In Proceedings of 9th IEEE Int. Conference on Mechatronics and Machine Vision in Practice , Chiang Mai, Thailand, Sep 10-12, 2002. [ Web Page ] [ PDF ] [ BibTeX ] 2001 Interactive simulation of teeth cleaning. Tilo Gockel, Tobias Salb, Tim Weyrich, Rdiger Dillmann. CARS 2001, 7th Computed Maxillofacial Imaging Congress (CMI) , June 2001, Berlin. [ Web Page ] [ PDF ] [ BibTeX ] 1999 Preoperative Planning and Training Simulation for Risk Reducing Surgery. Tobias Salb, Tim Weyrich, Rdiger Dillmann. International Training and Simulation Conference (ITEC) , April 1999, The Hague, The Netherlands. [ Web Page ] [ PDF ] [ BibTeX ] Conference Presentations and Technical Reports Mould Store: Exploring The Preservation of The Former Spode Factory's Post-Industrial Heritage Through Digital Technologies. Neil Brownsword, Tim Weyrich, Karina Rodriguez Echavarria. Celebrating Reproductions: Past, Present and Future , Victoria and Albert Museum, London, UK, 1719 January 2019. [ Web Page ] [ PDF (47kB) ] [ Slides (9.4MB PDF) ] [ BibTeX ] Conscious Digitisation: Supporting The Conservation And Interpretation of The V&As Collection of Large-Scale Reproductions. Kira Zumkley, Karina Rodriguez Echavarria, Tim Weyrich, Marion Crick, Charlotte Hubbard, Sarah Healey. Poster at Celebrating Reproductions: Past, Present and Future , Victoria and Albert Museum, London, UK, 1719 January 2019. [ Web Page ] [ PDF (3.3MB) ] [ BibTeX ] Image-based Remapping of Material Appearance. Alejandro Sztrajman, Jaroslav Kivnek, Alexander Wilkie, Tim Weyrich. Proc. 5th Workshop on Material Appearance Modeling , 4pages, Helsinki, June 2017. [ Web Page ] [ PDF (0.8 MB) ] [ BibTeX ] The British Library Big Data Experiment: Experimental Interfaces, Experimental Teaching. James Baker, Melissa Terras, Dean Mohamedally, Tim Weyrich, Adam Farquhar, Stefan Alborzpour, Stelios Georgiou, Nektaria Stavrou, Wendy Wong, Jonathan Lloyd, Meral Sahin, Divya Surendran, James Durrant, Muhammad Rafdi, Ali Sarraf. Poster at Digital Humanities 2015 , Sidney, Australia, 29 June3 July 2015. [ Web Page ] [ Poster PDF (1.6MB) ] [ BibTeX ] Verification-Minimal Assembly of Fragmented Frescoes. Antonio Garca Castaeda, Benedict Brown, Szymon Rusinkiewicz, Thomas Funkhouser, Tim Weyrich. In 43rd Conf. Computer Applications and Quantitative Methods in Archaeology (CAA) Posters , Siena (Italy), March 2015. [ Web Page ] [ Poster PDF (6MB) ] [ BibTeX ] Heritage Imaging at UCL. Alejandro Giacometti, Adam Gibson, Mona Hess, John Hindmarch, Lindsay MacDonald, Kazim Pal, Stuart Robson, Melissa Terras, Tim Weyrich. In Proc. Annual Conference of Association for Historical and Fine Art Photography (AHFAP) , London, UK, 27 November 2014. [ Web Page ] [ PDF (14MB) ] [ BibTeX ] Appearance Fabrication. Tim Weyrich. In Report from Dagstuhl Seminar 14361 on Computational Aspects of Fabrication , (M. Alexa, B. Bickel, S. McMains, H. E. Rushmeiner, editors), ISSN 2192-5283, pp. 145145, 31 Aug 5 Sep, 2014. [ BibTeX ] Visualising Macroscopic Deterioration of Parchment and Writing via Multispectral Images. Alejandro Giacometti, Alberto Campagnolo, Lindsay MacDonald, Simon Mahony, Melissa Terras, Stuart Robson, Tim Weyrich, Adam Gibson. Paper presented at the Care and Conservation of Manuscripts (CCM) conference , University of Copenhagen, Denmark, April 24, 2014. [ PDF (2.0MB) ] [ BibTeX ] Reassembling Roman Plaster Fragments from Flanders Using Three-Dimensional Scanning and Automatic Matching. Lara Laken, Benedict Brown, Marc Proesmans, Alain Vanderhoeven, Marc De Bie, Luc van Gool, Tim Weyrich. 115th Annual Meeting of Archaeological Institute of America , 25 January, 2014. [ BibTeX ] City of London, London Metropolitan Archives XML Transcription of the Great Parchment Book of The Honourable The Irish Society. Patricia Stewart, Nicola Avery, Philippa Smith, Melissa Terras, Matthew Payne, Tim Weyrich. UCL Discovery https://rps.ucl.ac.uk/viewobject.html?cid=1&id=1406687, July 2013 (at this URL since July 2017). [ Web Page ] [ BibTeX ] [ UCL Discovery Repository ] [ Project Page ] The Great Parchment Book. Nicola Avery, Alberto Campagnolo, Caroline De Stefani, Kazim Pal, Matthew Payne, Philippa Smith, Rachael Smither, Ann Marie Stewart, Emma Stewart, Patricia Stewart, Melissa Terras, Laurence Ward, Tim Weyrich, Elizabeth Yamada. Poster presentation at Digital Humanities 2013 , University of Nebraska, Lincoln. July 2013. [ PDF (13MB) ] [ BibTeX ] [ Project Page ] Colour Analysis of Degraded Parchment. Lindsay MacDonald, Alejandro Giacometti, Tim Weyrich, Melissa Terras, Adam Gibson. Congress of the International Colour Association (AIC) , Newcastle Upon Tyne, UK, July 2013. [ PDF (0.3MB) ] [ Poster PDF (2.8MB) ] [ BibTeX ] Computational Fabrication and Display of Material Appearance. Matthias B. Hullin, Ivo Ihrke, Wolfgang Heidrich, Tim Weyrich, Gerwin Damberg, Martin Fuchs. Eurographics State-of-the-Art Reports (STAR) , Girona, Spain, May 2013. [ PDF (1.5MB) ] [ BibTeX ] Documenting and Interpreting Parchment Deterioration by Visual Analysis and Multispectral Imaging. Alberto Campagnolo, Alejandro Giacometti, Lindsay MacDonald, Simon Mahony, Melissa Terras, Stuart Robson, Tim Weyrich, Adam Gibson. Icon PF13, Positive Futures in an Uncertain World , Glasgow, 1012 April 2013. [ BibTeX ] Multi-Spectral Material Classification in Landscape Scenes Using Commodity Hardware. Gwyneth A. Bradbury, Kenny Mitchell, Tim Weyrich. International Conference on Computational Photography (ICCP) 2013 Posters , Cambridge, MA, 1921 April 2013. [ JPEG (6.3MB) ] [ Low-res JEPG (0.9MB) ] [ BibTeX ] Newton Spectrum: Nonlinear Text Browsing of a Large Corpus. William Martin, Dani Abdallah, Ahmed El-Abiary, Yosef Dalbah, Simon Julier, Melissa Terras, Rob Iliffe, Michael Hawkins, Tim Weyrich. In Proc. of Digital Humanities Congress 2012 , The University of Sheffield, September 2012. [ BibTeX ] Towards A Spatio-Temporal Appearance Model For Human Skin. Tim Weyrich. Proceedings of the 2010 ACM Workshop on Surreal Media and Virtual Cloning (SMVC) , pp. 47--48, Firenze, Italy, 2010. [ BibTeX ] Digital Historical Research: An Ideal Case Study for Networked Visualisation Research. Michael Hawkins, Simon Julier, Robert Iliffe, Tim Weyrich, Melissa Terras, Claire Warwick. In NATO Workshop on Visualising Networks: Coping With Change And Uncertainty (IST-093/RWS-015) , 2010. [ Slides (3.4MB) ] [ BibTeX ] Principles of Appearance Acquisition and Representation. Tim Weyrich, Jason Lawrence, Hendrik P. A. Lensch, Szymon Rusinkiewicz, Todd Zickler. Class SIGGRAPH 2008 , Los Angeles, CA, August 2008. [ BibTeX ] [ Class Homepage ] Principles of Appearance Acquisition and Representation. Tim Weyrich, Jason Lawrence, Hendrik P. A. Lensch, Szymon Rusinkiewicz, Todd Zickler. Short Course ICCV 2007 , Rio de Janeiro, Brazil, October 2007. [ BibTeX ] [ Course Homepage ] Reassembling The Thera Frescos. Tim Weyrich. In Proceedings of Dagstuhl Seminar 07171 on Visual Computing 2007 , ISSN 1862-4405, Dagstuhl, Germany, April 2007. [ Abstract ] [ BibTeX ] Implementation Sketch: Processing and Editing of Faces using a Measurement-Based Skin Reflectance Model. Bernd Bickel, Tim Weyrich, Wojciech Matusik, Hanspeter Pfister, Craig Donner, Chien Tu, Janet McAndless, Jinho Lee, Addy Ngan, Henrik Wann Jensen, Markus Gross. Sketch ACM SIGGRAPH 2006 , Boston, USA, July 2006. [ PDF ] [ BibTeX ] Measuring Skin Reflectance and Subsurface Scattering. Tim Weyrich, Wojciech Matusik, Hanspeter Pfister, Addy Ngan, Markus Gross. Mitsubishi Electric Research Laboratories (MERL) Technical Report , TR2005-046, December 2005. [ PDF ] [ BibTeX ] A Measurement-Based Skin Reflectance Model for Face Rendering and Editing. Tim Weyrich, Wojciech Matusik, Hanspeter Pfister, Jinho Lee, Addy Ngan, Henrik Wann Jensen, Markus Gross. Mitsubishi Electric Research Laboratories (MERL) Technical Report , TR2005-071, July 2005. [ PDF ] [ BibTeX ] Entwicklung eines Kopfverfolgunssystems auf der Basis einer Panoramakamera und knstlicher Landmarken. Tim Weyrich. Diplomar thesis , Institut fr Prozessrechentechnik, Automation und Robotik, Universitt Karlsruhe (TH), June 2001. [ Web Page ] [ PDF (1.0MB) ] [ BibTeX ] Haptic mediation of risk potentials over a soft tissue data set. Tobias Salb, Tim Weyrich, Oliver Burgert, Rdiger Dillmann. The First PHANToM Users Research Symposium (PURS) , May 1999, Heidelberg. [ BibTeX ] Bewertung und Optimierung von Schnitten in Weichgewebe ein risikobasierter Ansatz. Tim Weyrich. Semester thesis , Institut fr Prozessrechentechnik, Automation und Robotik, Universitt Karlsruhe (TH), January 1999. [ Web Page ] [ PDF (1.0MB) ] [ BibTeX ] Disclaimer: The documents contained in these pages are included to ensure timely dissemination of scholarly and technical work on a non-commercial basis. Copyright and all rights therein are maintained by the authors or by other copyright holders, notwithstanding that they have offered their works here electronically. It is understood that all persons copying this information will adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder. diff --git a/src/data/compiled_bios/1103.txt b/src/data/compiled_bios/1103.txt new file mode 100644 index 0000000000..6199fc0798 --- /dev/null +++ b/src/data/compiled_bios/1103.txt @@ -0,0 +1 @@ + David R. White Menu Skip to content About Publications Teaching Blog About I am a Research Associate in the Department of Computer Science at the University of Sheffield . My supervisor is Professor John A. Clark and I work on the EPSRC DAASEProject . My research is focused on Quantum Program Synthesis, that is the automated discovery of algorithms, generative program descriptions, and other artefacts useful in the programming of quantum computers. In other words, Quantum Software Engineering. Past work in this area has used metaheuristic algorithms such as Genetic Programming to design Quantum artefacts, and we are researching ways to develop this approach and others. I have worked more generally inin solving Software Engineering problems with AI methods such asmetaheuristics and machine learning. For example, I am working with commercial companies such as Craft Prospect in developing software for nanosatellite systems. My doctoral work was inprogram synthesis, specifically Genetic Programming (GP) and its application to existing software, now referred to as Genetic Improvement.I wrote some of the original papersin this area,and I was also one of the founders and chairs of Genetic Improvement , a workshopnow in its fourthyear. I recently co-authored a survey on GI, and am also leading a project to build a GI tool, known as Gin . I wasone of the founders of gpbenchmarks.org , an attempt to progress research into GP by improving the standard of benchmarking in the field. I continue to research in Genetic Programming and am working on fundamental research questions in this area. I am a member of the Metaheuristics in the Large project, a very ambitious attempt to revolutionise research in metaheuristics led by Jerry Swan . At Sheffield, I am part of the DAASE project, which aims to automate software engineering through the use of dynamic and adaptive computational search. DAASE is a large project also involving UCL, the University of Stirling, University of Birmingham, and Queen Mary University London. DAASE is the successor to the SEBASE project, which I worked on at the University of York. SEBASE was a project at the heart of the search-based software engineering community, a group of academic and industrial researchers concerned with applying heuristic search to software engineering problems. SEBASE was nominated for Research Project of the Year in the Times Higher Education Awards . I was previously at the University of Glasgow, where I was one of the founders and PI of the Glasgow Raspberry Pi Cloud project, a scale model of a cloud datacentre from Raspberry Pis and Lego, which was primarily used for teaching. The project was kindly supported by the Chancellors Fund at Glasgow. This project led to the successful award of EPSRC funding for a larger project, Fruit: The Federated Raspberry Pi Micro-infrastructure Testbed . In the last few years I have also worked in a range of other areas including software traceability, Genetic Programming Theory, task allocation in robotics, JVM Memory Management, Monte Carlo Tree Search, and cloud deployment of metaheuristics. I review for more journals and conferences that I can remember, but the list includes: GECCO, EuroGP, EvoSET, SBST, CIMSBSE, TSE, IEEE CIM, WCCI, GPEM, DTIS, SSBSE, TEC, Natural Computing. I havealso been known to make films and art . Save Save Save Save Proudly powered by WordPress diff --git a/src/data/compiled_bios/1104.txt b/src/data/compiled_bios/1104.txt new file mode 100644 index 0000000000..7bbcbb31fc --- /dev/null +++ b/src/data/compiled_bios/1104.txt @@ -0,0 +1 @@ + Name Withheld: Senior Teaching Fellow Role Senior Teaching Fellow Office TBA Office Location University College London Dept. of Computer Science Gower Street London WC1E 6BT United Kingdom Tel +44 (0)20 7679 TBA (Direct Dial) Internal TBA Fax +44 (0)20 7387 1397 Email withheld5 (at) cs.ucl.ac.uk Postal Address University College London Dept. of Computer Science Gower Street London WC1E 6BT United Kingdom Group Software Systems Engineering Personal Pages (None) diff --git a/src/data/compiled_bios/1105.txt b/src/data/compiled_bios/1105.txt new file mode 100644 index 0000000000..4e70781b39 --- /dev/null +++ b/src/data/compiled_bios/1105.txt @@ -0,0 +1 @@ + Ifat Yasin Role Senior Lecturer Office GS4.15 Office Location University College London Dept. of Computer Science 66-72 Gower Street London WC1E 6EA United Kingdom Tel +44 (0)20 3108 7159 (Direct Dial) Internal 57159 Fax +44 (0)20 7387 1397 Email I.Yasin (at) cs.ucl.ac.uk Postal Address University College London Dept. of Computer Science Gower Street London WC1E 6BT United Kingdom Group Virtual Environments and Computer Graphics Personal Pages (None) diff --git a/src/data/compiled_bios/1106.txt b/src/data/compiled_bios/1106.txt new file mode 100644 index 0000000000..240521ae3e --- /dev/null +++ b/src/data/compiled_bios/1106.txt @@ -0,0 +1 @@ + Emine Yilmaz Role Professor of Computer Science Office GS1.04A Office Location University College London Dept. of Computer Science 66-72 Gower Street London WC1E 6EA United Kingdom Tel +44 (0)20 3549 5267 (Direct Dial) Internal 65267 Fax +44 (0)20 7387 1397 Email E.Yilmaz (at) cs.ucl.ac.uk Postal Address University College London Dept. of Computer Science Gower Street London WC1E 6BT United Kingdom Group Media Futures Personal Pages http://www0.cs.ucl.ac.uk/staff/E.Yilmaz/ diff --git a/src/data/compiled_bios/1107.txt b/src/data/compiled_bios/1107.txt new file mode 100644 index 0000000000..6ed40880e7 --- /dev/null +++ b/src/data/compiled_bios/1107.txt @@ -0,0 +1 @@ + Fabio Zanasi University College London Home Papers Talks Teaching News Undergrad Projects About Me I am a Lecturer at University College London and a member of the Programming Principles, Logic and Verification Group . Formerly I was a Postdoctoral Researcher at Radboud University (Nijmegen, The Netherlands). I hold a PhD in Computer Science from the cole Normale Suprieure (Lyon, France), a Master of Science in Logic from the University of Amsterdam and a Bachelor of Arts in Philosophy from the University of Siena . My research interest is in the foundations of programming language theory. The leit-motiv of my current research is the use of algebraic methods, typical of program semantics, to give a uniform, compositional analysis of computational models appearing in other fields, such as signal flow graphs, quantum processes, Petri nets and Bayesian networks. News 25 Gen 2019 Our paper ``Causal Inference by String Diagram Surgery'' was accepted at FoSSaCS'19 (Prague) 18 Gen 2019 Robin Piedeleu is presenting our paper ``Diagrammatic Algebra: from Linear to Current Systems'' at POPL'19 (Lisbon) 26 Nov 2018 Participating in the Shonan Meeting on `Diagrammatic Methods for Linear and Nonlinear Systems' (Shonan Institute of Technology, Japan) 15 Nov 2018 Welcome to Robin Piedeleu, new post-doc hired on my EPSRC Project `Enhanced Formal Reasoning for Algebraic Network Theory' More Contact main.html#contact f.zanasi at ucl dot ac dot uk +44 (0) 20 3108 7837 (internal: 57837) Visiting address: UCL Department of Computer Science Room 3.03 Gower Street 66-72, London WC1E 6BT Surface mail address: Department of Computer Science University College London Gower Street London WC1E 6BT United Kingdom diff --git a/src/data/compiled_bios/1108.txt b/src/data/compiled_bios/1108.txt new file mode 100644 index 0000000000..bada7ba33a --- /dev/null +++ b/src/data/compiled_bios/1108.txt @@ -0,0 +1 @@ + UCL Microstructure Imaging Group UCL MIG Gary Hui Zhang, Ph.D. Home People Research Projects Publications Resources Vacancies Away days Public Engagement Gary Hui Zhang, Ph.D. Reader in Computational Imaging Contact Centre for Medical Image Computing UCL Department of Computer Science Office: Front Engineering Building, Rm 3.03 Tel: +44 (0)20 3108 1620 Fax: +44 (0)20 7679 0255 Email: gary.zhang@ucl.ac.uk Research NODDI : Clinically feasible imaging of brain tissue microstructure NODDI is a new diffusion MRI technique for imaging brain tissue microstructure. Compared to DTI, it has the advantage of providing measures of tissue microstructure that are much more direct and hence more specific. It achieves this by adopting the model-based strategy which relates the signals from diffusion MRI to geometric models of tissue microstructure. In contrast to typical model-based techniques, NODDI is much more clinically feasible and can be acquired on standard MR scanners with an imaging time comparable to DTI. You can learn more by having a look at the ISMRM 2012 presentation or refer to our NeuroImage paper . The matlab routine for fitting NODDI data is also provided. Matlab toolbox ISMRM 2012 presentation (:toggle init=hide button=1 div=noddi :) DTI-TK: Optimized image analysis pipeline for diffusion MRI DTI-TK homepage Ranked the best tool for DTI registration/spatial normalization in a 2011 study ISMRM 2011 tutorial (:toggle init=hide button=1 div=group_analysis :) Publications Google Scholar profile Teaching (:toggle init=hide button=1 div=teaching :) MPHYGB24: Programming Foundation for Medical Image Computing MPHYGB97: Projects for MSc in Physics and Engineering Medicine COMPGV16: Research Methods and Reading COMPGV17: Computational Modelling for Biomedical Imaging Microstructure Imaging Group - University College London - Gower Street - London - WC1E 6BT - +44 (0)20 7679 0221 - Copyright 1999-2009 UCL. Disclaimer | Accessibility | Privacy | UCL Search | UCL-CS Help Edit | History | Print | Recent Changes | Search Page last modified on January 18, 2018, at 02:12 PM diff --git a/src/data/compiled_bios/1109.txt b/src/data/compiled_bios/1109.txt new file mode 100644 index 0000000000..4b9214e4cb --- /dev/null +++ b/src/data/compiled_bios/1109.txt @@ -0,0 +1 @@ + Shi Zhou UCL Home Dr. Shi Zhou Research PhD Supervision Teaching Contact Dr. Shi Zhou Dr. Shi Zhou Department of Computer Science, University College London (UCL), UK. Read more Contact Research Research Dr. Shi Zhou's research interests include Online Social Networks, Cyber Security, Network Science, Complex Networks, Internet Routing and Cloud Computing. Read more PhD Supervision PhD Supervision Dr. Shi Zhou is actively recruiting PhD students. Various scholarship opportunities are available. Read more Teaching Teaching Dr. Shi Zhou teaches a postgraduate module on Complex Networks and Web and he is the Study Abroad Tutor. Read more Contact Contact Email: s.zhou (at) ucl.ac.uk Read more Pages Home Dr. Shi Zhou Research PhD Supervision Teaching Contact Copyright 2019 Shi Zhou . Theme: Himalayas by ThemeGrill . Powered by WordPress . diff --git a/src/data/compiled_bios/111.txt b/src/data/compiled_bios/111.txt new file mode 100644 index 0000000000..8564973ece --- /dev/null +++ b/src/data/compiled_bios/111.txt @@ -0,0 +1 @@ +Robert Wood is the Charles River Professor of Engineering and Applied Sciences in the Harvard John A. Paulson School of Engineering and Applied Sciences, a founding core faculty member of the Wyss Institute for BiologicallyInspired Engineering and a National Geographic Explorer. Prof. Wood completed his M.S. and Ph.D. degrees in the Dept. of Electrical Engineering and Computer Sciences at the University of California, Berkeley. He is founder ofthe Harvard Microrobotics Lab which leverages expertise in microfabrication for the development of biologically-inspired robots with feature sizes on the micrometer to centimeter scale. His current research interests include newmicro- and meso-scale manufacturing techniques, fluid mechanics of low Reynolds number flapping wings, control of sensor-limited and computation-limited systems, active soft materials, wearable robots, and morphable soft-bodied robots. He is the winner of multiple awards for his work including the DARPA Young Faculty Award, NSF Career Award, ONR Young Investigator Award, Air Force Young Investigator Award, Technology Review's TR35, andmultiple best paper awards. In 2010 Wood received the Presidential Early Career Award for Scientists and Engineers from President Obama for his work in microrobotics. In 2012 he was selected for the Alan T. Waterman award, theNational Science Foundation's most prestigious early career award. In 2014 he was named one of National Geographic's "Emerging Explorers". Wood's group is also dedicated to STEM education by using novel robots to motivateyoung students to pursue careers in science and engineering. diff --git a/src/data/compiled_bios/1110.txt b/src/data/compiled_bios/1110.txt new file mode 100644 index 0000000000..6719ad2815 --- /dev/null +++ b/src/data/compiled_bios/1110.txt @@ -0,0 +1 @@ +Skip to Content Computer Science Department Search Computer Science Department California Polytechnic State University Navigation School and Work Home Teaching Research Media Documents Senior Project Guidelines CV Stats Computer Science > Chris Lupo Home CP Home CP Find It Computer Science Computer Engineering Last modified: Sun Sep 20, 2015 05:00PM Computer Science California Polytechnic State University San Luis Obispo, CA 93407 805.756.5659 clupo "at" calpoly.edu diff --git a/src/data/compiled_bios/1111.txt b/src/data/compiled_bios/1111.txt new file mode 100644 index 0000000000..0c83d645e6 --- /dev/null +++ b/src/data/compiled_bios/1111.txt @@ -0,0 +1 @@ +Sara Bahrami Home Publications Teaching Awards Professional Presentations CV & Resume More About me I am an assistant professor in the Department of Computer Science and Software Engineering at California Polytechnic University, San Luis Obispo, California. I got my Ph.D. in Computer Science from Wichita State University (advisor: Dr. Huzefa Kagdi ). Software maintenance and evolution Empirical software engineering Mining software repositories Program comprehension Natural language processing Human Computer Interaction My Research Interests: Contact Email: sbahrami@calpoly.edu 2023 by Andi Banks. Proudly created with Wix.com diff --git a/src/data/compiled_bios/1112.txt b/src/data/compiled_bios/1112.txt new file mode 100644 index 0000000000..5b69542802 --- /dev/null +++ b/src/data/compiled_bios/1112.txt @@ -0,0 +1 @@ +Associate Professor Office: 14-227 Phone Number: 805-756-7256 Email: bellardo@calpoly.edu Research Interests Distributed Systems Networks Operating Systems Wireless Networks diff --git a/src/data/compiled_bios/1113.txt b/src/data/compiled_bios/1113.txt new file mode 100644 index 0000000000..1f65c3fed9 --- /dev/null +++ b/src/data/compiled_bios/1113.txt @@ -0,0 +1 @@ +John Clements Publications Blog Molis Hai About John Clements Cal Poly , Computer Science , Racket , Rust Passwords, Charles Dickens, Molis Hai he/his/him on github: jbclements "The larger the island of knowledge, the longer the shoreline of wonder." -- Ralph Sockman "This man loves test cases like small children love Toys R Us. On multiple occasions I have spent more time writing test cases than I spent writing the actual programs." -- Anonymous 102 student Current Courses CSC 430 Office hours Winter 2019 mon 10001200 tue 09001100 wed 14001500 thu fri Contact office: Building 14, room 208 e-mail: aoeuclements@brinckerhoff.org phone: (805)756-6528 postal mail: Department of Computer Science California Polytechnic State University 1 Grand Avenue San Luis Obispo, CA 93407 Older Courses (last 10) Winter 2019: CSC 430: Programming Languages Fall 2018: CSC 590: Thesis Seminar Fall 2018: CSC 430: Programming Languages Spring 2018: CSC 431: Compilers Winter 2018: CSC 430: Programming Languages Fall 2017: CSC 430: Programming Languages Fall 2017: CSC 123: Intro to Programming (music theme) Spring 2017: CSC 590: Thesis Seminar Spring 2017: CSC 530: Languages and Translators Spring 2017: CSC 202: Data Structures my homepage for the last 15+ years... diff --git a/src/data/compiled_bios/1114.txt b/src/data/compiled_bios/1114.txt new file mode 100644 index 0000000000..3c1785cdec --- /dev/null +++ b/src/data/compiled_bios/1114.txt @@ -0,0 +1 @@ +Bruno C. da Silva Personal Website Home | Contact | Home Research Topics Resume Publications Teaching Menu Home Research Topics Resume Publications Teaching Links My Google Scholar Profile My ResearchGate profile IEEE ACM PhD Comics "People will forget what you said, people will forget what you did, but people will never forget how you made them feel." - Maya Angelou Hello and Welcome! My name is Bruno. I am a software engineering enthusiast and passionate to my family and to make software development an even better activity. I'm from Salvador (Brazil), the capital of the Bahia state (northeast of the Brazilian beautiful coast). Now I live in another beautiful coastal area but turned to the Pacific ocean. In August 2017, I moved to the wonderful town of San Luis Obispo-CA, joining the Computer Science and Software Engineering Department at Cal Poly (California Polytechnic State University) . I hold a Ph.D. degree in Computer Science from Federal University of Bahia (UFBA) and a M.Sc. degree in the same field from Federal University of Rio Grande do Sul (UFRGS), both in Brazil. At Cal Poly, I work as an Assistant Professor in the Software Engineering field. Don't hesitate to drop me a line if you want to discuss any stuff related to the content of this website, software engineering, Cal Poly, or whatever you think would be interesting to discuss with me. bcdasilv (at) calpoly (dot) edu Google schoolar profile Software evolution visualization tool with augmented reality. Developed by Me and Rodrigo Rocha. Archive: IST Journal publication - Online Appendix Modularity 2014 Technical Paper - Online Appendix ICPC 2012 Technical Paper - Online Appendix SBCARS'09 Technical paper - Evaluation results SQM'08 Workshop paper - Evaluation results Dream big dreams. Small dreams have no magic. Dottie Boreyko. 2016 Bruno Carreiro da Silva | Design by: styleshout | Valid XHTML | CSS | Home | Contact | diff --git a/src/data/compiled_bios/1115.txt b/src/data/compiled_bios/1115.txt new file mode 100644 index 0000000000..a659c7b164 --- /dev/null +++ b/src/data/compiled_bios/1115.txt @@ -0,0 +1 @@ +Assistant Professor Office: 14-214 Phone Number: 805-756-1392 Email: bdebruhl@calpoly.edu Research Interests Automotive security Cyber-physical security Privacy in Technology Wireless Systems diff --git a/src/data/compiled_bios/1116.txt b/src/data/compiled_bios/1116.txt new file mode 100644 index 0000000000..e9a09f4530 --- /dev/null +++ b/src/data/compiled_bios/1116.txt @@ -0,0 +1 @@ +...Welcome... Alexander Dekhtyar Professor, Graduate Coordinator, Department of Computer Science, California Polytechnic State University email : dekhtyar at calpoly.edu phone : 805-756-2387 fax : 805-756-2956 office : 14-210 Ph. D., July 2000, Department of Computer Science University of Maryland At College Park web : http://www.cs.umd.edu/~dekhtyar ...Education... Graduate Undergraduate Other 1995 - 2000 Ph. D., Department of Computer Science University of Maryland At College Park 1989 - 1994 Department of Computer Science [koi] Applied Mathematics and Cybernetics [koi] program Tver State University [koi] Tver [koi] , Russia 1992-1993 Department of Computer Science University of Alabama at Tuscaloosa American Collegiate Consortium 1 year exchange program ...Teaching... Winter 2019 - DATA 451 - Data Science Capstone I Winter 2019 - CSC 369 - Distributed Computing Fall 2018 - DATA 401 - Data Science Fall 2018 - CSC 466 - Knowledge Discovery in Data Spring 2018 - DATA 452 - Data Science Capstone II Spring 2018 - CSC 466 - Knowledge Discovery in Data Winter 2018 - DATA 451 - Data Science Capstone I Winter 2018 - CSC 366 - Database Design, Modeling, and Implementation Fall 2017 - DATA 401 - Data Science Fall 2017 - CSC 349 - Design and Analysis of Algorithms Spring 2017 - CSC 566 - Advanced Data Mining Spring 2017 - CSC 365 - Introduction to Database Systems Winter 2017 - DATA 451 - Data Science Capstone I Winter 2017 - CSC 369 - Distributed Computing Fall 2016 - DATA 401 - Data Science Fall 2016 - CSC 365 - Introduction to Database Systems Spring 2016 - DATA 301 - Introduction to Data Science Spring 2016 - CSC 468 - Organization of Database Management Systems Spring 2016 - CSC 590 - M.S. Thesis Seminar Winter 2016 - CSC 369 - Distributed Computing Fall 2015 - CSC 466 - Knowledge Discovery in Data Fall 2015 - CSC 448 - Bioinformatics Algorithms Fall 2015 - CSC 590 - M.S. Thesis Seminar Spring 2015 - CSC 366 - Database Modeling, Design and Implementation Winter 2015 - CSC 365 - Introduction to Database Systems Fall 2014 - CSC 590 - M.S. Thesis Seminar Fall 2014 - CSC 560 - Advanced Topics in Databases: Modern DBMS Architectures Fall 2014 - CSC 448 - Bioinformatics Algorithms. Read the FAQ. +more Fall 2013 - CSC 101 - Fundamentals of Computer Science I Fall 2013 - CSC 468 - Organization of Database Management Systems Spring 2013 - CSC 366 - Database Modeling, Design, and Implementation Spring 2013 - CSC 448 - Bioinformatics Algorithms Winter 2013 - CSC 365 - Introduction to Database Systems Fall 2012 - CSC 365 - Introduction to Database Systems Fall 2012 - CSC 560 - Advanced Topics in Databases: Modern DBMS Architectures Spring 2012 - CSC 466 - Knowledge Discovery in Data Spring 2012 - CSC 448 - Bioinformatics Algorithms Winter 2012 - CSC 101 - Fundamentals of Computer Science I Winter 2012 - CSC 366 - Database Modeling, Design and Implementation Fall 2011 - CSC 365 - Introduction to Database Systems Fall 2011 - CSC 570 - Bioinformatics Algorithms Fall 2011 - CSC 590 - M.S. Thesis Seminar Spring 2011 - CSC 366 - Database Modeling, Design and Implementation Spring 2011 - CSC 365 - Introduction to Database Systems Winter 2011 - CPE 101 - Fundamentals of Computer Science I Winter 2011 - CSC 590 - M.S. Thesis Seminar Fall 2010 - CSC 466 - Knowledge Discovery in Data Fall 2010 - CSC 468 - Organization of Database Management Systems Spring 2010 - CSC 349 - Design and Analysis of Algorithms Spring 2010 - CSC 365 - Introduction to Database Systems Spring 2010 - CSC 590 - M.S. Thesis Seminar Winter 2010 - CSC 366 - Database Modeling, Design and Implementation Fall 2009 - CPE 101 - Fundamentals of Computer Science I Fall 2009 - CSC 560 - Advanced Topics in Databases: Data and Web Mining Fall 2009 - CSC 590 - M.S. Thesis Seminar Spring 2009 - CSC 466 - Knowledge Discovery in Data Spring 2009 - CSC 366 - Database Modeling, Design and Implementation Winter 2009 - CSC 468 - Organization of Database Management Systems Fall 2008 - CPE 101 - Fundamentals of Computer Science I Spring 2008 - CSC 365 - Introduction to Database Systems Spring 2008 - CSC 468 - Organization of Database Management Systems Winter 2008 - CSC 366 - Database Modeling, Design and Implementation Fall 2007 - CSC 365 - Introduction to Database Systems Fall 2007 - CSC 560 - Advanced Topics in Databases: XML Data Management ... learn more about it -less CSC 466 - Knowledge Discovery from Data - scheduled for Spring 2009 . IAB Presentation (May 30, 2008, powerpoint, ~3.5Mb) . ...Research... Curriculum Vitae : Postscript PDF ORCID orcid.org/0000-0001-8340-6396 Research Projects Current Center of Excellence in Traceability , [blog] Work with students Wikis Past projects Current Areas Of Interest Past Interests Also Of Interest Uncertain Reasoning in AI and Logic Programming Uncertain Reasoning in Databases Management of XML data Digital Libraries Independent Verification and Validation of Software Information Retrieval and Data Mining Bioinformatics Linear Logic Finite Model Theory Algorithms and Complexity Computer Science Links ...Publications... List of Publications ...Service... I am no longer the graduate coordinator for M.S. in CS program. Dr. John Bellardo is the new graduate coordinator. I am the CSSE Coordinator for the Cross-Disciplinary Studies Minor in Data Science . Current catalog description of the minor is here . Older Stuff Working Group on Project-Based Learning - [wiki] . ...Links... [MyCalPoly] [CalPoly Maps] [CalPoly Arts] [Grad School] [CDSM in Data Science] [CS Labs (Ada)] [CS ECOs] [Calendars] [Room Requests] [IRB instructions] [Grad Forms] [old page @umd] [SLO Trubune] [Santa Barbara News-Press] [Mustang Daily] [Cal Poly Report] [blog] [KY to CA] ...July 5, 2001... dekhtyar@cs.uky.edu Official website of Alexander Koval diff --git a/src/data/compiled_bios/1117.txt b/src/data/compiled_bios/1117.txt new file mode 100644 index 0000000000..08a23f235e --- /dev/null +++ b/src/data/compiled_bios/1117.txt @@ -0,0 +1 @@ +Assistant Professor Office: 14-221 Phone Number: 805-756-2416 Email: ceckhard@calpoly.edu Research Interests Animation and Motion Capturing Game Design and Development Global Illumination HCI Machine Learning Physics Simulation Procedural Generation diff --git a/src/data/compiled_bios/1118.txt b/src/data/compiled_bios/1118.txt new file mode 100644 index 0000000000..2fb73b3642 --- /dev/null +++ b/src/data/compiled_bios/1118.txt @@ -0,0 +1 @@ +Associate Professor Office: 14-219 Phone Number: 805-756-2344 Email: dfalessi@calpoly.edu Research Interests Machine Learning applied to Software Engineering Software Change Prediction Software Defect Prediction Software Engineering Recommendation Systems diff --git a/src/data/compiled_bios/1119.txt b/src/data/compiled_bios/1119.txt new file mode 100644 index 0000000000..f3aa42e2c5 --- /dev/null +++ b/src/data/compiled_bios/1119.txt @@ -0,0 +1 @@ +Hasmik Gharibyan Ph.D., Professor, Computer Science Department California Polytechnic State University, San Luis Obispo Contact Information: Address: Tel: (805)756-7068 E-Mail: hghariby@calpoly.edu Office: Building 14, room 207 Background: Hasmik Gharibyan was born, raised and educated in the Republic of Armenia, former USSR. She got her higher education at Yerevan State University, Applied Mathematics department. She has a Scientific Degree "Candidate of Physico Mathematical Sciences" (equivalent to Ph.D. in the USA) in Computational Mathematics. Hasmik Gharibyan taught in the Informatics and Applied Mathematics department of Yerevan State University in Armenia for 15 years (1981-1996): first as an Assistant Professor, then as an Associate Professor. In 1996 Hasmik Gharibyan moved to the USA. In 1998 she joined the faculty of Computer Science department at California Polytechnic State University in San Luis Obispo. She was an Associate Professor till 2005, and is a Full Professor since Fall 2005. Courses: CPE349: Design and Analysis of Algorithms CSC445: Theory of Computation I CSC540: Theory of Computation II CPE103: Fundamentals of Computer Science III CPE102: Fundamentals of Computer Science II diff --git a/src/data/compiled_bios/112.txt b/src/data/compiled_bios/112.txt new file mode 100644 index 0000000000..a1dec99089 --- /dev/null +++ b/src/data/compiled_bios/112.txt @@ -0,0 +1 @@ +Professor Angluin is interested in machine learning and computational learning theory. Algorithmic modeling and analysis of learning tasks gives insight into the phenomena of learning, and suggests avenues for the creation of tools to help people learn, and for the design of smarter software and artificial agents that flexibly adapt their behavior. Professor Angluins thesis was among the first work to apply complexity theory to the field of inductive inference. Her work on learning from positive data reversed a previous dismissal of that topic, and established a flourishing line of research. Her work on learning with queries established the models and the foundational results for learning with membership queries. Recently, her work has focused on the areas of coping with errors in the answers to queries, map-learning by mobile robots, and fundamental questions in modeling the interaction of a teacher and a learner. Professor Angluin helped found the Computational Learning Theory conference, and has served on program committees for COLT and on the COLT Steering committee. She served as an area editor for Information and Computation from 1989-1992. She organized the Computer Science Departments Perlis Symposium in April 2001: From Statistics to Chat: Trends in Machine Learning. She is a member of the Association for Computing Machinery and the Association for Women in Mathematics. Representative Publications: Queries revisited, Proc. ALT 2001, 12-31,2001. Robot navigation with distance queries, with J. Westbrook and W. Zhu, SIAM Computing, 30:110-144, 2000. Learning regular sets from queries and counterexamples, Information and Computation, 75:87-106, 1989. Finding patterns common to a set of strings, Journal of Computer and System Sciences, 21:46-62, 1980. diff --git a/src/data/compiled_bios/1120.txt b/src/data/compiled_bios/1120.txt new file mode 100644 index 0000000000..3f3639202d --- /dev/null +++ b/src/data/compiled_bios/1120.txt @@ -0,0 +1 @@ +Home Toggle Animation Courses CSC/SE/CPE Senior Project Books Creative Greenfoot Selected Publications When the Hurly-burlys Done, of Battles Lost & Won: Lessons Learned from the Toil & Trouble of Stirring Liberal Arts into an Engineering Cauldron at a Public Polytechnic High Efficiency Inverted Instruction: Doubling Capacity while Preserving Small Classroom Quality Procedurally Generated, Adaptive Music for Rapid Game Development Assessing Student and Employer Satisfaction in a Liberal Arts/Engineering Bachelor of Arts Degree Improving First-year Success and Retention through Interest-Based CS0 Courses Improving Engineering Education through Creativity, Collaboration, and Context in a First Year Course CAMP: A Common API for Measuring Performance Enabling P2P Cooperative WMS Proxy Caching and Prefetching in an Educational Environment A Fast Connection-Time Redirection Mechanism for Internet Application Scalability Branch Transition Rate: A New Metric for Improved Branch Classification Analysis More... Do you suffer from FMOOWMP? Try FOH! Michael Haungs Check out my book Computer Science Department California Polytechnic State University 1 Grand Ave San Luis Obispo, California 93407 Office: 228, Bldg. 14 Phone: (805) 756-5531 FAX: (805) 756-2956 mhaungs@calpoly.edu Computer Science The Computer Science Department educates students in the discipline of computer science and teaches them to apply their education to solve practical problems in a socially responsible way. Pursuant to the department's educational mission, faculty engage in research and professional development that allows them to remain current in their fields and to provide technological leadership to the university community. Learn more Computing for the Interactive Arts Computing for the Interactive Arts is a new cross-disciplinary minor between Art and Computer Science. Learn more Liberal Arts and Engineering Studies The BA degree program in Liberal Arts and Engineering Studies is jointly offered by the colleges of Liberal Arts and Engineering. This program prepares students for a wide range of innovative careers in emerging professional fields that combine skills and interests in engineering, the arts, technology, and culture, and also prepares them for further study in graduate school. This program is open to all students at Cal Poly. Learn more About Me Michael Haungs is an Associate Professor in the Computer Science Department and Co-Director of the Liberal Arts and Engineering Studies (LAES) program at California Polytechnic State University. He received his B.S. degree in Industrial Engineering and Operations Research from the University of California, Berkeley, his M.S. degree in Computer Science from Clemson University, and his Ph.D in Computer Science from the University of California, Davis. Current work centers on web and cloud application development, game design and programming, and computer science education. CalPoly, San Luis Obispo 2018 diff --git a/src/data/compiled_bios/1121.txt b/src/data/compiled_bios/1121.txt new file mode 100644 index 0000000000..f97549ef18 --- /dev/null +++ b/src/data/compiled_bios/1121.txt @@ -0,0 +1 @@ +David Janzen C a l i f o r n i a P o l y t e c h n i c S t a t e U n i v e r s i t y David Janzen Home > :: Courses :: Research :: Student Research David Janzen Professor California Polytechnic State University Computer Science Department San Luis Obispo, California Email: djanzen (at) calpoly.edu Phone: (805)756-2929 Office: 14-212 President and Principal Consultant/Trainer Simex Morro Bay, CA co-founder Steadfast Innovation, LLC Creator of Squid (formerly Papyrus) San Luis Obispo, CA Office Hours:: Fall 2018 and Winter 2019 None - on sabbatical until Spring 2019 Courses:: None - on sabbatical Fall 2018 and Winter 2019 Teaching CSC 406 in Spring 2019 Old Courses Software Engineering Capstone:: The SE Capstone consists of three courses over an academic year: CSC 402 Software Requirements Engineering (Fall) CSC 405 Software Construction (Winter) CSC 406 Software Deployment (Spring) Three to five teams of four to six upper-level undergraduate students each develop the same system for an industrial sponsor. The industrial sponsor serves as the business customer, establishing requirements and acceptance criteria in consultation with the Cal Poly faculty. While the courses include typical academic activities such as lectures, readings, and exams, the capstone project is the focal point and primary outcome. Companies interested in proposing a project for the SE Capstone should see the Call for Proposals . Students interested in participating in the SE Capstone should have completed the prerequisites of CSC 305, 308, and 309. Working with Cal Poly Computing Students:: Check out this brief guide to ways to work with us. Research Interests:: Empirical Software Engineering Agile Methods Test-Driven Development Object-Oriented Systems Design Patterns Software Metrics Computer Science, Software Engineering, and Information Systems Pedagogy Research Projects:: Does Active Learning Build Grit? (sponsored by NSF) Test-Driven Learning with WebIDE (sponsored by NSF) Android at Cal Poly (sponsored by Google) Software Engineering Evidence Database (SEEDS) Test-Driven Learning : Pedagogical Patterns for Introducing Test-Driven Development in Early Programming Courses (sponsored by Lockheed Martin) Assessing the impacts of Test-Driven Development on Internal Software Quality Selected Publications :: Student Research:: I think the best senior project and masters thesis topics are the ones that a student comes up with on their own. However, I have plenty of ideas to offer on a range of topics. If you want to talk through some possibilities, feel free to come by during office hours, or send me an email to schedule a time. Pitch2Programmers event to find a senior project. M.S. Guidelines Senior Project Guidelines Outreach:: CS4HS - supporting area high school computing teachers EPIC - summer engineering camp at Cal Poly Old News:: (not kept current) Software Engineering Careers What is the difference between SE and CS ? The U.S. Bureau of Labor and Statistics reports the median salary (2010) for computer application software engineers was $90,530 and predicts a 30% increase in software engineering jobs in the next ten years. See this link addressing myths on CS careers . Software Engineering Careers (by Computer Science Online) Information Technology Careers (by Computer Science Online) Computer Engineering Careers (by Computer Science Online) Marissa Mayer, female computer scientist and VP at Google (great role-model for women in computing, if you don't have time for the whole thing, watch the first part then skip to about the 47 minute mark) Marissa Mayer, SIGCSE'08 Keynote (scroll down to find video) Computer Science Online Software Engineering Advising Resources See Curriculum and Flowcharts for the SE major (scroll to bottom of the page) Other:: IEEE Software Agile Taxonomy Safari Books Online (access from on campus) Cal Poly Home | Cal Poly Find It CSC Department | SE Major Last Update: 08/09/2017 David S. Janzen Computer Science California Polytechnic State University San Luis Obispo, Ca 93407 805.756.2929 djanzen (at) calpoly.edu diff --git a/src/data/compiled_bios/1122.txt b/src/data/compiled_bios/1122.txt new file mode 100644 index 0000000000..fbbaa8410c --- /dev/null +++ b/src/data/compiled_bios/1122.txt @@ -0,0 +1 @@ +Aaron Keen e-mail: akeen@calpoly.edu phone: (805) 756-2926 office: Room 228, Frank E. Pilling (Building 14) office hours: M: 10-11am, W: 10-11am, R: 1-3pm, F: 10-11am Teaching Schedule CSC 430 - Programming Languages I Research Interests My interests span much of computer science, but I (try to) focus my attention on the study of programming languages. I am interested in improving the tools that programmers rely on. To that end, I study the implementation and theory of programming languages, recently with particular focus on program analysis. I previously worked on concurrent programming languages (such as JR ). Publications Earthworm: Automated Decomposition Suggestions N. Garg and A. W. Keen 18th Koli Calling International Conference on Computing Education Research, November 2018 Reducing Distributed JR Program Start-up Time via Extending JR's Operation Abstraction. R. A. Olsson, A. W. Keen, and T. Williamson Concurrency and Computation -- Practice & Experience, Volume 30, Number 14, 23 pages (July 2018) The Bumblebee: A Robot Controller Board for STEM Education. L. Hodzic, K. Ly, A. W. Keen, and J. S. Seng ASEE Pacific Southwest Conference, April 2016 User Accessible Reply Capabilities in Invoking and Servicing Operations. R. A. Olsson and A. W. Keen Concurrency and Computation: Practice & Experience, December 2015 Transformations for Early Reply and Forward Message Passing Mechanisms. R. A. Olsson, A. W. Keen, and T. Williamson Concurrency and Computation: Practice & Experience, December 2015 Program Decomposition and Complexity in CS1. A. Keen and K. Mammen SIGCSE '15 Building Worlds: Bridging Imperative-First and Object-Oriented Programming in CS1-CS2. Z. J. Wood and A. Keen SIGCSE '15 Twill: A Hybrid Microcontroller-FPGA Framework for Parallelizing Single-Threaded C Programs. D. Gallatin, A. Keen, C. Lupo, and J. Oliver RAW 2014: 21st Reconfigurable Architectures Workshop, May 19-20, 2014 Generic Operations and Capabilities in the JR Concurrent Programming Language. H. N. Chan, A. J. Gallagher, A. S. Goundan, Y. L. Yeung, A. W. Keen, and R. A. Olsson. Computer Languages, Systems and Structures, Volume 35, Number 3, pages 293-305 (October 2009) A Definition of and Linguistic Support for Partial Quiescence. B. Y. Man, H. N. Chan, A. J. Gallagher, A. S. Goundan, A. W. Keen and R. A. Olsson. Concurrency and Computation: Practice & Experience, Volume 20, Issue 8, June 2008 Toward a Definition of and Linguistic Support for Partial Quiescence. B. Y. Man, H. N. Chan, A. J. Gallagher, A. S. Goundan, A. W. Keen and R. A. Olsson. 12th International Euro-Par Conference (Euro-Par 2006), August/September 2006 An Exception Handling Mechanism for the Concurrent Invocation Statement. H.N. Chan, E. Pauli, B. Y. Man, A. W. Keen, and R. A. Olsson. 11th International Euro-Par Conference (Euro-Par 2005), August 2005 Localized Type-Inference in Python. B. Cannon and A. W. Keen. PyCon 2005, March 2005 JR: Flexible Distributed Programming in an extended Java. A. W. Keen, T. Ge, J. T. Maris, and R. A. Olsson. Transactions on Programming Languages and Systems (TOPLAS), Volume 26, Issue 3, May 2004 A Comparison of Concurrent Programming and Cooperative Multithreading under Load Balancing Applications. J. T. Maris, A. W. Keen, T. Ishihara, and R. A. Olsson. Concurrency and Computation: Practice & Experience, Volume 16, Issue 4, 2004 (January 19, 2004) The JR Programming Language: Concurrent Programming in an Extended Java. R. A. Olsson and A. W. Keen Kluwer Academic Publishers , 2004 ISBN 1-4020-8085-9 An Inter-entry Invocation Selection Mechanism for Concurrent Programming Languages. A. W. Keen and R. A. Olsson 9th International Euro-Par Conference (Euro-Par 2003), August 2003 A Comparison of Concurrent Programming and Cooperative Multithreading. A. W. Keen, T. Ishihara, J. T. Maris, T. Li, E. F. Fodor, and R. A. Olsson Concurrency and Computation: Practice & Experience, Volume 15, Issue 1, 2003 (January 6, 2003) Fairness in Shared Invocation Servicing. R. A. Olsson, G. D. Benson, T. Ge, and A. W. Keen Computer Languages, Systems & Structures, Volume 28, December 2002 Exception Handling During Asynchronous Method Invocation. A. W. Keen and R. A. Olsson. 8th International Euro-Par Conference (Euro-Par 2002), August 2002 CoW: A Cooperative Multithreading Web Server. T. Ishihara, A. W. Keen, J. T. Maris, and R. A. Olsson. The 2002 International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA '02), June 2002 Accommodating Evolution in AspectJ. E. Wohlstadter, A. W. Keen, S. Jackson, and P. Devanbu. Workshop on Advanced Separation of Concerns, OOPSLA 2001, October 2001 JR: Flexible Distributed Programming in an Extended Java. A. W. Keen, T. Ge, J. T. Maris, and R. A. Olsson. International Conference on Distributed Computing Systems (ICDCS 2001), April 2001 diff --git a/src/data/compiled_bios/1123.txt b/src/data/compiled_bios/1123.txt new file mode 100644 index 0000000000..e687cc7e5a --- /dev/null +++ b/src/data/compiled_bios/1123.txt @@ -0,0 +1 @@ +Skip to main content foaad.net Foaad Khosmood | Displays Main menu Home About Foaad Teaching Research Conferences Contact SLO Hacks: Embracing the Passionate Novice Authorship: Evan Shui, Selina Sun and Foaad Khosmood Publication: International Conference on Game Jams, Hackathons, and Game Creation Events Conference Location: San Francisco, California March, 2018 Tags: Games We present this event report and discussion on the SLO Hacks local hack day, a 12 hour free-format hackathon held on December 2, 2017 at the Campus of California Polytechnic State University (Cal Poly). A first of its kind for our community, the event presents unique challenges and opportunities. SLO Hacks, an entirely student run volunteer organization, has mobilized to overcome institutional, logistical and educational challenges in order to enable hackathon events at Cal Poly. Read more about SLO Hacks: Embracing the Passionate Novice Measuring Legislative Behavior: An Exploration of Digitaldemocracy.org Authorship: Latner, Michael; Dekhtyar, Alexander M.; Khosmood, Foaad; Angelini, Nicole; Voorhees, Andrew Publication: California Journal of Politics and Policy, Volume 9, Issue 3 (2017) Journal November, 2017 The Digital Democracy platform developed at California Polytechnic State University, www.digitaldemocracy.org, is an open government platform that features a searchable database of California state legislative committee hearings and floor sessions, allowing the user to search content by keyword, topic, speaker or date. In this research note, we introduce the platform, summarize several measures of behavioral data, and encourage public feedback on what types of interactive features might be built into the platform in the near future. Article on CJPP Read more about Measuring Legislative Behavior: An Exploration of Digitaldemocracy.org Understanding Botnet-driven Blog Spam: Motivations and Methods Authorship: Brandon Bevans, Bruce DeBruhl, Foaad Khosmood Publication: Digital Humanities 2017 Conference Location: Montreal, Canada August, 2017 Tags: Security Spam, or unsolicited commercial communication, has evolved from telemarketing schemes to a highly sophisticated and profitable black-market business. Although many users are aware that email spam is prominent, they are less aware of blog spam (Thomason, 2007). Blog spam, also known as forum spam, is spam that is posted to a public or outward facing website. Blog spam can be to accomplish many tasks that email spam is used for like posting links to a malicious executable. Blog spam can also serve some unique purposes. DH2017 Proceedings Read more about Understanding Botnet-driven Blog Spam: Motivations and Methods Social network analysis of the global game jam network Authorship: Johanna Pirker, Foaad Khosmood, Christian Gutl Publication: ICGJ 2017 Conference Location: San Francisco, California February, 2017 Tags: Games Proceedings on ACM DL Read more about Social network analysis of the global game jam network Tweets about "@foaadk OR @globalgamejam OR #ggj15 OR #ggj14 OR nlp OR naturallanguageprocessing OR globalgamejam OR calpoly" Search form Search Social media [ Google Scholar ] [ Facebook ] [ Twitter ] [ Google+ ] [ LinkedIn ] Global Game Jam diff --git a/src/data/compiled_bios/1124.txt b/src/data/compiled_bios/1124.txt new file mode 100644 index 0000000000..cb0b78c6da --- /dev/null +++ b/src/data/compiled_bios/1124.txt @@ -0,0 +1 @@ +Franz Kurfess @ Cal Poly SLO Franz Kurfess - home Contact & Schedule Teaching Senior Projects & Theses International Exchange Publications Prof. Franz J. Kurfess Welcome to my home page! Im a professor in the Computer Science and Software Engineering department at Cal Poly, San Luis Obispo. Follow the navigation links more information. 2019 Franz Kurfess Email diff --git a/src/data/compiled_bios/1125.txt b/src/data/compiled_bios/1125.txt new file mode 100644 index 0000000000..6bc3c1c85c --- /dev/null +++ b/src/data/compiled_bios/1125.txt @@ -0,0 +1 @@ +Assistant Professor Office: 14-226 Phone Number: 805-756-2824 Email: tmigler@calpoly.edu diff --git a/src/data/compiled_bios/1126.txt b/src/data/compiled_bios/1126.txt new file mode 100644 index 0000000000..e2a2ec1a5e --- /dev/null +++ b/src/data/compiled_bios/1126.txt @@ -0,0 +1 @@ +Assistant Professor Office: 14-211 Phone Number: 805-756-1330 Email: mpanto01@calpoly.edu Research Interests Distributed Computing High Performance Computing Image/Video Compression Machine Learning for Object Recognition Parallel Programming diff --git a/src/data/compiled_bios/1127.txt b/src/data/compiled_bios/1127.txt new file mode 100644 index 0000000000..e6a91adb7a --- /dev/null +++ b/src/data/compiled_bios/1127.txt @@ -0,0 +1 @@ +Zachary N J Peterson Home Brief Bio Curriculum Vitae All News All Publications Student Projects Search Zachary N J Peterson Associate Professor, Computer Science , Cal Poly Secure Systems, Applied Cryptography, Computer Security Education Latest News In which I gave mediocre Cyber Monday advice November 26, 2018 Cybersecurity Policy Fellow at New America October 3, 2018 Cal Poly wins NSA GenCyber Teacher Training Award July 6, 2018 CENIC Panel Cybersecurity Workforce Development in R&E Environments March 6, 2018 New CS Education Papers January 9, 2018 more... Latest Publications Fakesbook: A social networking platform for teaching security and privacy concepts to secondary school students. To Appear: Proceedings of the ACM Technical Symposium on Computing Science Education (SIGCSE), 2019 October, 2018 Authenticity, Ethicality, and Motivation: A Formal Evaluation of a 10-week Computer Security Alternate Reality Game for CS Undergraduates. In: Proceedings of the USENIX Advances in Security Education Workshop (ASE), 2018. July, 2018 Mixed approaches to CS0: Exploring topic and pedagogy variance after six years of CS0. In: Proceedings of the ACM Technical Symposium on Computing Science Education (SIGCSE), 2018. January, 2018 more... Latest Student Projects A Reverse Engineering Lab for Introductory Computer Security Students August, 2017 CTFedu: Update the CTFd Framework for the Classroom June, 2017 Experimenting with Cryptography in Android 7.0 May, 2017 more... diff --git a/src/data/compiled_bios/1128.txt b/src/data/compiled_bios/1128.txt new file mode 100644 index 0000000000..343f5ca5ec --- /dev/null +++ b/src/data/compiled_bios/1128.txt @@ -0,0 +1 @@ +John Seng menu Main About Research/Projects Roborodentia Publications CV John Seng CSC/CPE Professor Email Current Information Winter 2019 CPE 315 - 2p-4p CPE 416 - 4p-6p Office Hours M 10a-11a T 8:30a-10:30a W 9a-10a F 11a-12p Contact Information jseng@calpoly.edu Office: 14-231 (805) 756-5536 diff --git a/src/data/compiled_bios/1129.txt b/src/data/compiled_bios/1129.txt new file mode 100644 index 0000000000..effe9bb878 --- /dev/null +++ b/src/data/compiled_bios/1129.txt @@ -0,0 +1 @@ +This page uses frames, but your browser doesn't support them. diff --git a/src/data/compiled_bios/113.txt b/src/data/compiled_bios/113.txt new file mode 100644 index 0000000000..3cafcc1c4c --- /dev/null +++ b/src/data/compiled_bios/113.txt @@ -0,0 +1 @@ + James Aspnes Professor of Computer Science Yale University Department of Computer Science 51 Prospect St P.O. Box 208285 New Haven , CT 06520-8285 USA Email: james.aspnes@gmail.com Phone: +1 203 533 9862 Hi. I'm Jim Aspnes, a professor in the Theory Group in the Computer Science Department at Yale . I am also the Director of Undergraduate Studies for the department. My main area of research is distributed algorithms. You can find a list of my papers here . Classes CPSC 465: Theory of Distributed Systems , Spring 2019. Lecture notes from current, upcoming, and recent classes on computational complexity . data structures and C programming , discrete math , distributed computing , and randomized algorithms . Older lecture notes (may be somewhat broken): algorithms , operating systems . Vita HTML (short version, with links to paper abstracts) . HTML (publications only, with in-line abstracts) . PDF . BibTeX . Teaching calendar Office hours are in AKW 401. If you can't make it to my open office hours, please send me email to make an appointment. diff --git a/src/data/compiled_bios/1130.txt b/src/data/compiled_bios/1130.txt new file mode 100644 index 0000000000..a28c678f94 --- /dev/null +++ b/src/data/compiled_bios/1130.txt @@ -0,0 +1 @@ +All course materials are here Copyright 1997, 1998 All rights reserved, etc. Clinton Staley Ph.D., University of California, Santa Barbara Professor Computer Science Department of Computer Science Cal Poly San Luis Obispo, CA 93407 Office: 14-204 Phone: 805/756-2158 Email: cstaley@calpoly.edu diff --git a/src/data/compiled_bios/1131.txt b/src/data/compiled_bios/1131.txt new file mode 100644 index 0000000000..94a9f520e4 --- /dev/null +++ b/src/data/compiled_bios/1131.txt @@ -0,0 +1 @@ +Lubomir Stanchev I am an Associate Professor in the Computer Science Department at Cal Poly . E-mail: stanchev at gmail dot com Office: 14-228 Phone number: 805-756-2958 My research interests include: Document search based on the meaning of text (a.k.a. semantic search) Probabilistic and incomplete databases Knowledge representation and reasoning Distributed systems Creating and maintaining views and indices for query optimization I am looking for undergraduate and graduate students that are interested in doing research in any of these topics, or maybe something totally new. The research can be performed as part of independent study or M.Sc. thesis. Book Publications: A list of my publications from DBLP can be found here . Here is a local copy of my publications. A version of my Ph.D. dissertation from the University of Waterloo . And here is my CV. diff --git a/src/data/compiled_bios/1132.txt b/src/data/compiled_bios/1132.txt new file mode 100644 index 0000000000..74b7e0f09e --- /dev/null +++ b/src/data/compiled_bios/1132.txt @@ -0,0 +1 @@ + Sorry, this webpage is down for the time being. I plan to get it back and updated before the end of September, 2019. Professor Turner diff --git a/src/data/compiled_bios/1133.txt b/src/data/compiled_bios/1133.txt new file mode 100644 index 0000000000..9062ee9bae --- /dev/null +++ b/src/data/compiled_bios/1133.txt @@ -0,0 +1 @@ +Professor Office: 14-217 Phone Number: 805-756-2824 Email: ivakalis@calpoly.edu Research Interests Computational Mathematics Computational Science Education Graph Theory Numerical Analysis Parallel Computing Teaching of Mathematics diff --git a/src/data/compiled_bios/1134.txt b/src/data/compiled_bios/1134.txt new file mode 100644 index 0000000000..5cff594d87 --- /dev/null +++ b/src/data/compiled_bios/1134.txt @@ -0,0 +1 @@ +Skip to main content Jonathan Ventura Toggle navigation Home Research Teaching Publications Code Blog CV Jonathan Ventura, Ph.D. Assistant Professor Department of Computer Science and Software Engineering California Polytechnic State University 1 Grand Avenue, San Luis Obispo, CA 93407 Email: jventu09@calpoly.edu Phone: (805) 756-5624 Office: 14-227 Google Scholar LinkedIn Twitter (@jonathanventura) Jonathan Ventura Ph.D. Jonathan Ventura is an assistant professor in the Department of Computer Science and Software Engineering at Cal Poly, San Luis Obispo. His research focus is computer vision: making computers see. He is especially interested in geometric problems in vision such as 3D modeling and camera localization, as well as machine learning, image processing and medical image analysis. One major goal of his work has been to enable sophisticated and widely available mobile augmented reality experiences through advanced sensor technology. Short bio: Dr. Ventura is a native of the central coast of California and earned his Ph.D. in Computer Science from the University of California, Santa Barbara in 2012. He received his B.S. and M.S. degrees in Computer Science from UCSB, as well. Before joining Cal Poly, he was an assistant professor at University of Colorado Colorado Springs. He has also been a postdoctoral researcher with the Institute for Computer Graphics and Vision at Graz University of Technology in Austria, in collaboration with Qualcomm Research, and worked as a research intern at the Adobe Advanced Technologies Lab in San Jose, CA. He has presented his work at several top international conferences and journals, including IEEE CVPR, ICCV, ECCV, ACM SIGGRAPH, IEEE ISMAR, and IEEE Transactions on Visualization and Computer Graphics. Joint work with his colleagues has twice been awarded the best paper prize from IEEE ISMAR, the premier international augmented reality conference. Prospective Students: I advise undergraduate and graduate research projects in geometric computer vision, machine learning, augmented reality and robotics. If you are interested, please contact me via email or come by my office. News: Mar. 15, 2017: The National Science Foundation has awarded UCCS a three-year grant to host a Research Experience for Undergraduates (REU) site starting summer 2017. Jugal Kalita is the PI and I am co-PI. The topic is Machine Learning in Natural Language Processing and Computer Vision. Visit our web page for more information. Mar. 3, 2017: I will present a paper based on Chloe Bradley's M.S. thesis at the FG 2017 Workshop on Heterogeneous Face Recognition in June. Jul. 13, 2016: My paper on Structure from Motion on a Sphere was accepted to the European Conference on Computer Vision (ECCV) in Amsterdam. See all Copyright 2018 Jonathan Ventura diff --git a/src/data/compiled_bios/1135.txt b/src/data/compiled_bios/1135.txt new file mode 100644 index 0000000000..8c67a7518d --- /dev/null +++ b/src/data/compiled_bios/1135.txt @@ -0,0 +1 @@ +Zo J. Wood Contact info: email: zwood "at" calpoly.edu address: Computer Science Dept. Cal Poly San Luis Obispo, CA 93407 office phone: (805) 756-5540 I am a Professor in the Computer Science Department at Cal Poly . My research in computer graphics is focused on geometric modeling with an emphasis/interest in computational topology and scientific visualization. Recent video from Cal Poly student (example of technical+artist skills) 2013 (by C. Wallis). Some general information about my work in computer graphics at Cal Poly. We have started a new minor "Computing for the Interactive Arts" Some of my research involves the ICEX program . I also like to promote computer science via outreach . And I love being the faculty advisor for WISH For more information see: * teaching - research - master's students * diff --git a/src/data/compiled_bios/1136.txt b/src/data/compiled_bios/1136.txt new file mode 100644 index 0000000000..0ebef83845 --- /dev/null +++ b/src/data/compiled_bios/1136.txt @@ -0,0 +1 @@ +Professor & Chair Women & Gender Studies Affiliated Faculty Office: 47-25F Phone Number: 805-756-6442 Email: jlehr@calpoly.edu Biography Dr. Jane L. Lehr is Chair of Women's & Gender Studies and Professor in Ethnic Studies at California Polytechnic State University, San Luis Obispo. She is also Faculty Director of the Louis Stokes Alliance for Minority and Underrepresented Student Participation (LSAMP) in STEM Program and Advisor for Engineers Without Borders Cal Poly. She previously served as elected co-chair of the Science & Technology Taskforce of the National Women's Studies Association (NWSA), and as a Postdoctoral Research Officer at the Centre for Informal Learning and Schools (CILS) at King's College, University of London. Her graduate training is in Science & Technology Studies and Women's Studies at Virginia Tech and her teaching and research focus on the complex relationships between gender, race, culture, science, technology, and education. diff --git a/src/data/compiled_bios/1137.txt b/src/data/compiled_bios/1137.txt new file mode 100644 index 0000000000..20b4c68fb1 --- /dev/null +++ b/src/data/compiled_bios/1137.txt @@ -0,0 +1 @@ +Assistant Professor Statistics Affiliated Faculty Office: 25-109 Phone Number: 805-756-5877 Email: dsun09@calpoly.edu diff --git a/src/data/compiled_bios/1138.txt b/src/data/compiled_bios/1138.txt new file mode 100644 index 0000000000..3a9d62cbd2 --- /dev/null +++ b/src/data/compiled_bios/1138.txt @@ -0,0 +1 @@ +Professor Active Emeriti Office: 14-228 Phone Number: 805-756-1331 Email: buckalew@calpoly.edu Research Interests Computer Graphics HCI Multimedia Systems Scientific Visualization diff --git a/src/data/compiled_bios/1139.txt b/src/data/compiled_bios/1139.txt new file mode 100644 index 0000000000..96cf51b7a3 --- /dev/null +++ b/src/data/compiled_bios/1139.txt @@ -0,0 +1 @@ +Professor Active Emeriti Office: 14-228 Phone Number: 805-756-1331 Email: chdana@calpoly.edu Research Interests Graphical User Interfaces Java Programming Language- Especially GUI Projects Modern Programming Languages Professional Responsibilities Software Tools diff --git a/src/data/compiled_bios/114.txt b/src/data/compiled_bios/114.txt new file mode 100644 index 0000000000..7cc8a4deab --- /dev/null +++ b/src/data/compiled_bios/114.txt @@ -0,0 +1 @@ + Mahesh Balakrishnan m#ah#e#sh at cs dot yale dot edu (minus hashes) // AKW 308A, 51 Prospect St, New Haven, CT 06511-8937 I am an Associate Professor (pre-tenure) in the Department of Computer Science at Yale University. I work in the union of distributed systems, storage, and networking. I was previously at VMware Research until May 2015, and before that at Microsoft Research Silicon Valley until Nov 2014. I got my PhD at Cornell University in 2009 while working with Ken Birman on reliable communication protocols for data centers. At Yale, I am a member of the Computer Systems Lab . I am spending the 2017 and 2018 academic years on leave at Facebook. My work is funded by an NSF AitF grant , Facebook Faculty Awards (2015 and 2016), and a VMWare Early Career Faculty Grant (2017) . Service: ATC 2019 || FAST 2019 || OSDI 2018 (light) || ATC 2018 || FAST 2018 || HotStorage 2017 || SoCC 2017 (co-chair) || WWW 2017 || EuroSys 2017 || FAST 2017 || NSDI 2017 || SoCC 2016 || MaRS 2016 || HotStorage 2016 || ICDCS 2016 || ATC 2016 || SYSTOR 2016 || NSDI 2016 || EuroSys 2016 (light) || LADIS 2015 (co-chair) || INFLOW 2015 || SOCC 2015 (poster chair) || APSys 2015 || ICDCS 2015 || IPDPS 2015 || CloudDM 2015 || WWW 2015 || INFLOW 2014 || TRIOS 2014 || SFMA 2014 || SoCC 2013 || LADIS 2012 || ICDCS 2010 || SSS 2009 Publications: OSDI The FuzzyLog: A Partially Ordered Shared Log. Joshua Lockerman, Jose Faleiro, Juno Kim, Soham Sankaran, Daniel Abadi, Jim Aspnes, Siddhartha Sen, Mahesh Balakrishnan. In OSDI 2018: 13th USENIX Symposium on Operating Systems Design and Implementation, Carlsbad, CA, October 2018. [paper] TOS Isotope: ACID Transactions for Block Storage. Ji-Yong Shin, Mahesh Balakrishnan, Tudor Marian, Hakim Weatherspoon. In ACM Transactions on Storage (TOS), Volume 13 Issue 1, Feb 2017. [paper] ASPLOS Black-box concurrent data structures for NUMA architectures. Irina Calciu, Siddhartha Sen, Mahesh Balakrishnan, Marcos Aguilera. In ASPLOS 2017: 22nd ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Xi'an, China, April 2017. (best paper award) [paper] FPT Design and Implementation of Open-Source SATA III Core for Stratix V FPGAs. Sumedh Guha, Wen Wang, Shafeeq Ibraheem, Mahesh Balakrishnan, Jakub Szefer. In FPT 2016: International Conference on Field-Programmable Technology, Xi'an, China, December 2016. [paper] SOCC Towards Weakly Consistent Local Storage Systems. Ji-Yong Shin, Mahesh Balakrishnan, Tudor Marian, Jakub Szefer, Hakim Weatherspoon. In SOCC 2016: ACM Symposium on Cloud Computing, Santa Clara, CA, October 2016. [paper] SYSTOR Enabling Space Elasticity in Storage Systems. Helgi Sigurbjarnarson, Petur Orri Ragnarsson, Juncheng Yang, Ymir Vigfusson, Mahesh Balakrishnan. In SYSTOR 2016: 9th ACM International Systems and Storage Conference, Haifa, Israel, June 2016. (best student paper award) [paper] FAST Isotope: Transactional Isolation for Block Storage. Ji-Yong Shin, Mahesh Balakrishnan, Tudor Marian, Hakim Weatherspoon. In FAST 2016: 14th USENIX Conference on File and Storage Technologies, San Jose, CA, February 2016. [paper] HotStorage Harmonium: Elastic Cloud Storage via File Motifs. Helgi Sigurbjarnarson, Petur Orri Ragnarsson, Ymir Vigfusson, Mahesh Balakrishnan. In HotStorage 2014: 6th Usenix Workshop on Hot Topics in Storage and File Systems, Philadelphia, PA, June 2014. [paper] Internet Computing Contrail: Decentralized and Privacy-Preserving Social Networks on Smartphones. Patrick Stuedi, Iqbal Mohomed, Mahesh Balakrishnan, Morley Mao, Doug Terry, Ted Wobber. In IEEE Internet Computing, December 2013. CCSNA Hiding behind the Clouds: Efficient, Privacy-Preserving Queries via Cloud Proxies. Surabhi Gaur, Melody Moh, Mahesh Balakrishnan. In IEEE Globecom 2013 Workshop on Cloud Computing Systems, Networks, and Applications, Atlanta, GA, December 2013. [paper] TOCS CORFU: A Distributed Shared Log. Mahesh Balakrishnan, Dahlia Malkhi, John D. Davis, Vijayan Prabhakaran, Michael Wei, Ted Wobber. In ACM Transactions on Computer Systems (TOCS), 31(4), 10, December 2013 (invited paper) SOSP Tango: Distributed Data Structures over a Shared Log. Mahesh Balakrishnan, Dahlia Malkhi, Ted Wobber, Ming Wu, Vijayan Prabhakaran, Michael Wei, John D. Davis, Sriram Rao, Tao Zou, Aviad Zuck. In SOSP 2013: The 24th ACM Symposium on Operating Systems Principles. [paper] [slides] [video] SOSP Consistency-Based Service Level Agreements for Cloud Storage. Douglas Terry, Vijayan Prabhakaran, Rama Kotla, Mahesh Balakrishnan, Marcos K. Aguilera, Hussam Abu-Libdeh. In SOSP 2013: The 24th ACM Symposium on Operating Systems Principles. [paper] SYSTOR Beyond Block I/O: Implementing a Distributed Shared Log in Hardware. Michael Wei, John D. Davis, Ted Wobber, Mahesh Balakrishnan, Dahlia Malkhi. In SYSTOR 2013: 6th International Systems and Storage Conference, Haifa, Israel, June 2013. [paper] FAST Gecko: Contention-Oblivious Disk Arrays for Cloud Storage. Ji-Yong Shin, Mahesh Balakrishnan, Tudor Marian, Hakim Weatherspoon. In FAST 2013: 11th USENIX Conference on File and Storage Technologies, San Jose, CA, February 2013. [paper] HotStorage Gecko: A Contention-Oblivious Design for Cloud Storage. Ji-Yong Shin, Mahesh Balakrishnan, Lakshmi Ganesh, Tudor Marian, Hakim Weatherspoon. In HotStorage 2012: 4th Usenix Workshop on Hot Topics in Storage and File Systems, Boston, MA, June 2012. NSDI CORFU: A Shared Log Design for Flash Clusters. Mahesh Balakrishnan, Dahlia Malkhi, Vijayan Prabhakaran, Ted Wobber, Michael Wei, John D. Davis. In NSDI 2012: 9th Usenix Symposium on Networked Systems Design and Implementation, San Jose, CA, April 2012. [paper] [video] OSR From Paxos to CORFU: A Flash-Speed Shared Log. Dahlia Malkhi, Mahesh Balakrishnan, John D. Davis, Vijayan Prabhakaran, Ted Wobber. In ACM SIGOPS Operating Systems Review, Volume 46 Issue 1, January 2012. Middleware Contrail: Enabling Decentralized Social Networks on Smartphones. Patrick Stuedi, Iqbal Mohomed, Mahesh Balakrishnan, Ted Wobber, Doug Terry, Morley Mao. In Middleware 2011: ACM/IFIP/USENIX 12th International Middleware Conference, Lisboa, Portugal, December 2011. (best paper award) [paper] Usenix Online Migration for Geo-Distributed Storage Systems. Nguyen Tran, Marcos Aguilera, Mahesh Balakrishnan. In Usenix 2011: Usenix Annual Technical Conference, Portland, OR, June 2011. [paper] TON Maelstrom: Transparent Error Correction for Communication between Data Centers. Mahesh Balakrishnan, Tudor Marian, Ken Birman, Hakim Weatherspoon, Lakshmi Ganesh. In IEEE/ACM Transactions on Networking, June 2011. TOS Differential RAID: Rethinking RAID for SSD Reliability. Mahesh Balakrishnan, Asim Kadav, Vijayan Prabhakaran, Dahlia Malkhi. In ACM Transactions on Storage, Volume 6 Issue 2, June 2010 (invited paper) EuroSys Differential RAID: Rethinking RAID for SSD Reliability. Mahesh Balakrishnan, Asim Kadav, Vijayan Prabhakaran, Dahlia Malkhi. In EuroSys 2010: 5th ACM European Conference on Computer Systems, Paris, France, April 2010. [paper] EuroSys Dr. Multicast: Rx for Data Center Communication Scalability. Ymir Vigfusson, Hussam Abu-Libdeh, Mahesh Balakrishnan, Ken Birman, Robert Burgess, Gregory Chockler, Haoyuan Li, Yoav Tock. In EuroSys 2010: 5th ACM European Conference on Computer Systems, Paris, France, April 2010. [paper] HotNets Location, Location, Location! Modeling Data Proximity in the Cloud. Birjodh Tiwana, Mahesh Balakrishnan, Marcos Aguilera, Hitesh Ballani, Z. Morley Mao. In HotNets IX: Ninth Workshop on Hot Topics in Networking, Monterey, CA, October 2010. [paper] HotStorage Depletable Storage Systems. Vijayan Prabhakaran, Mahesh Balakrishnan, Ted Wobber, John Davis. In HotStorage 2010: 2nd Workshop on Hot Topics in Storage and File Systems, Boston, MA, June 2010. [paper] FAST Extending SSD Lifetimes with Disk-Based Write Caches. Gokul Soundararajan, Vijayan Prabhakaran, Mahesh Balakrishnan, Ted Wobber. In FAST 2010: 8th USENIX Conference on File and Storage Technologies, San Jose, CA, February 2010. [paper] IMC Where's that Phone?: Geolocating IP Addresses on 3G Networks. Mahesh Balakrishnan, Iqbal Mohomed, Venugopalan Ramasubramanian. In IMC 2009: Internet Measurement Conference, Chicago, IL, November 2009. [paper] HotStorage Differential RAID: Rethinking RAID for SSD Reliability. Asim Kadav, Mahesh Balakrishnan, Vijayan Prabhakaran, Dahlia Malkhi. In HotStorage 2009: 1st Workshop on Hot Topics in Storage and File Systems, Big Sky, MT, October 2009. This version also appeared in ACM SIGOPS Operating Systems Review, 44(1), January 2010. (best paper award) [paper] SIGMETRICS On the Treeness of Internet Latency and Bandwidth. Venugopalan Ramasubramanian, Dahlia Malkhi, Fabian Kuhn, Mahesh Balakrishnan, Archit Gupta, Aditya Akella. In SIGMETRICS / Performance 2009: Joint International Conference on Measurement and Modeling of Computer Systems, Seattle, WA, June 2009. FAST Smoke and Mirrors: Shadowing Files at Remote Locations without Performance Loss. Hakim Weatherspoon, Lakshmi Ganesh, Tudor Marian, Mahesh Balakrishnan, Ken Birman. In FAST 2009: 7th USENIX Conference on File and Storage Technologies, San Francisco, CA, February 2009. HotNets Dr. Multicast: Rx for Datacenter Communication Scalability. Ymir Vigfusson, Hussam Abu-Libdeh, Mahesh Balakrishnan, Ken Birman, Yoav Tock. In HotNets VII: Seventh ACM Workshop on Hot Topics in Networks, Calgary, Canada, October 2008. [paper] DSN Tempest: Soft State Replication in the Service Tier. Tudor Marian, Mahesh Balakrishnan, Ken Birman, Robbert van Renesse. In DSN 2008: 38th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DCCS track), Anchorage, AK, June 2008. [paper] NSDI Maelstrom: Transparent Error Correction for Lambda Networks. Mahesh Balakrishnan, Tudor Marian, Ken Birman, Hakim Weatherspoon, Einar Vollset. In NSDI 2008: Fifth Usenix Symposium on Networked Systems Design and Implementation, San Francisco, CA, April 2008. [paper] PODC Reconstructing Approximate Tree Metrics. Ittai Abraham, Mahesh Balakrishnan, Fabian Kuhn, Dahlia Malkhi, Kunal Talwar, Venugopalan Ramasubramanian. In PODC 2007: 26th Annual ACM SIGACT-SIGOPS Symposium on Principles of Distributed Computing, Portland, OR, August 2007. [paper] HotOS Optimizing Power Consumption in Large Scale Storage Systems. Lakshmi Ganesh, Hakim Weatherspoon, Mahesh Balakrishnan, Ken Birman. In HotOS XI: 11th Workshop on Hot Topics in Operating Systems, San Diego, CA, May 2007. [paper] NSDI Ricochet: Lateral Error Correction for Time-Critical Multicast. Mahesh Balakrishnan, Ken Birman, Amar Phanishayee, Stefan Pleisch. In NSDI 2007: Fourth Usenix Symposium on Networked Systems Design and Implementation, Cambridge, MA, April 2007. [paper] Comsware Scalable Multicast Platforms for a New Generation of Robust Distributed Applications. Ken Birman, Mahesh Balakrishnan, Danny Dolev, Tudor Marian, Krzysztof Ostrowski, Amar Phanishayee. In COMSWARE 2007: 2nd IEEE/Create-Net/ICST International Conference on Communication System Software and Middleware, Bangalore, India, January 2007. SRDS PLATO: Predictive Latency-Aware Total Ordering. Mahesh Balakrishnan, Ken Birman and Amar Phanishayee. In SRDS 2006: 25th IEEE Symposium on Reliable Distributed Systems, Leeds, UK, October 2006. [paper] WASR Reliable Multicast for Time-Critical Systems. Mahesh Balakrishnan and Ken Birman. In WASR 2006: 1st IEEE Workshop on Applied Software Reliability, Philadelphia, PA, June 2006. MobiHoc Mistral: Efficient Flooding in Mobile Ad-hoc Networks. Stefan Pleisch, Mahesh Balakrishnan, Ken Birman and Robbert van Renesse. In MobiHoc 2006: 7th ACM International Symposium on Mobile Ad Hoc Networking and Computing, Florence, Italy, May 2006. [paper] NCA Slingshot: Time-Critical Multicast for Clustered Applications. Mahesh Balakrishnan, Stefan Pleisch and Ken Birman. In NCA 2005: 5th IEEE International Symposium on Network Computing and Applications, Boston, MA, July 2005. [paper] diff --git a/src/data/compiled_bios/1140.txt b/src/data/compiled_bios/1140.txt new file mode 100644 index 0000000000..958823633c --- /dev/null +++ b/src/data/compiled_bios/1140.txt @@ -0,0 +1 @@ +Gene Fisher Home Teaching Research Publications Personal I am currently an emeritus professor in the Department of Computer Science and Software Engineering. I joined the department in 1990 and was a member of the full-time teaching faculty until January 2016. Since retirement from teaching, I've continued my research, focusing on the use of formal methods in software engineering. There are details of my current work under the research tab. Prior to joining the faculty at Poly, I was an Assistant Professor at the University of California Davis from 1983 to 1989. Before UC Davis, I worked in industry for several years following the completion of my BS degrees in Computer Science and Mathematics at UC Irvine. My most interesting and significant industrial position was at the NASA Jet Propulsion Laboratory, where I was a software analyst and technical writer from 1975 through 1979. diff --git a/src/data/compiled_bios/1141.txt b/src/data/compiled_bios/1141.txt new file mode 100644 index 0000000000..4ef9ce4059 --- /dev/null +++ b/src/data/compiled_bios/1141.txt @@ -0,0 +1 @@ +Tim Kearns , Associate Professor Computer Science Department California Polytechnic State University Fall 2002 Contact Information Office: 14-254 Phone: 756-2876 Fax: (805) 756-2956 Office hours : TBD or by appointment Note Taking Cornell System of note taking Ohio University how to guide to note taking Virginia Tech hints on note taking How to Read A Book This is an essay that contains some of the same ideas as the classic book How to Read a Book Courses for Fall 2002 CSC 349 - TBD Research Interests Bioinformatics Data Mining Computer Security Last updated on 8/08/2002 diff --git a/src/data/compiled_bios/1142.txt b/src/data/compiled_bios/1142.txt new file mode 100644 index 0000000000..6e11f85701 --- /dev/null +++ b/src/data/compiled_bios/1142.txt @@ -0,0 +1 @@ +Email Software Tiago is an assistant professor at UMass Boston. Tiago's research helps programmers write software with fewer bugs. Tiago develops tools that localize errors, proves the correctness of algorithms, and mines how we write code to identify anomalies. Tiago is looking for self-motivated students who are interested in improving the quality of our software. Projects Safer GPU programming Localizing bugs caused by data-races & over-synchronization Safer parallel runtimes Proving the correctness of parallel runtimes and testing implementations Large-scale bug localization Data-mining source code to identify statistically-anomalous code Publications @DBLP @Scholar Dynamic deadlock verification for general barrier synchronisation . Tiago Cogumbreiro, Raymond Hu, Francisco Martins, and Nobuko Yoshida. In TOPLAS . ACM, 2018. Accepted. Preprint PDF. [ bib ] Deadlock Avoidance in Parallel Programs with Futures: Why parallel tasks should not wait for strangers . Tiago Cogumbreiro, Rishi Surendran, Francisco Martins, Vivek Sarkar, VascoT. Vasconcelos, and Max Grossman. Proceedings of the ACM on Programming Languages , 1(OOPSLA), 2017. Source code and proof scripts . [ bib | DOI | .pdf ] Formalization of Habanero Phasers using Coq . Tiago Cogumbreiro, Jun Shirako, and Vivek Sarkar. Journal of Logical and Algebraic Methods in Programming , 90:5060, 2017. Online interpreter and proof scripts . [ bib | DOI | .pdf ] Design and verification of distributed phasers . Karthik Murthy, SriRaj Paul, KuldeepS. Meel, Tiago Cogumbreiro, and JohnM. Mellor-Crummey. In EuroPAR , volume 9833 of LNCS , page 405418. Springer, 2016. [ bib | DOI | http ] Formalization of phase ordering . Tiago Cogumbreiro, Jun Shirako, and Vivek Sarkar. In PLACES , volume 211 of EPTCS , page 1324, 2016. Proof scripts . [ bib | DOI | .pdf ] Dynamic deadlock verification for general barrier synchronisation . Tiago Cogumbreiro, Raymond Hu, Francisco Martins, and Nobuko Yoshida. In PPoPP , page 150160. ACM, 2015. Source code . Proof scripts . [ bib | DOI | .pdf ] Coordinating phased activities while maintaining progress . Tiago Cogumbreiro, Francisco Martins, and VascoThudichum Vasconcelos. In COORDINATION , volume 7890, page 3144. Springer, 2013. [ bib | DOI | .pdf ] Types for X10 Clocks . Francisco Martins, VascoT. Vasconcelos, and Tiago Cogumbreiro. In PLACES , volume69 of EPTCS , page 111129, 2010. [ bib | DOI | .pdf ] Type inference for deadlock detection in a multithreaded typed assembly language . VascoT. Vasconcelos, Francisco Martins, and Tiago Cogumbreiro. In PLACES , volume17 of EPTCS , page 95109, 2010. [ bib | DOI | .pdf ] Compiling the pi -calculus into a multithreaded typed assembly language . Tiago Cogumbreiro, Francisco Martins, and VascoT. Vasconcelos. In PLACES , volume 241 of ENTCS , page 5784, 2009. [ bib | DOI | .pdf ] Experience (2018ongoing) Assistant professor at UMass Boston (20172018) Postdoctoral researcher at Georgia Tech , collaborating with Vivek Sarkar (20152017) Postdoctoral researcher at Rice University , collaborating with Vivek Sarkar (2014) Research assistant at Imperial College London , collaborating with Nobuko Yoshida (2012) Visiting scholar at Rice University , collaborating with Vivek Sarkar Education (2015) Ph.D. ULisboa , advised by Francisco Martins , [PDF] (2009) M.Sc. ULisboa , advised by Francisco Martins , [PDF] (2007) B.Sc. Universidade dos Aores diff --git a/src/data/compiled_bios/1143.txt b/src/data/compiled_bios/1143.txt new file mode 100644 index 0000000000..888b36b92b --- /dev/null +++ b/src/data/compiled_bios/1143.txt @@ -0,0 +1 @@ +Wei Ding@UMass Boston Curriculum Vita Publications Teaching The Knowledge Discovery Lab (KDLab) The Women in Sciences Club (WINS) Puerto Rico Charles River, Boston University of Houston Clear Lake Dana-Farber Cancer Institute Acadia National Park, Maine Campus Center, UMass Boston University of Houston KDLab Hiking, Mt. Major, NH Welch and Dicky Trail, NH Courtyard, Science Bulding, UMass Boston IT Lab, Science Building, UMass Boston UMass Boston University of Houston Campus Center, UMass Boston CRA-W Workshop University of Houston Previous Next Wei Ding Associate Professor of Computer Science Research Interests knowledge discovery, data mining, and machine learning, with applications to bioinformatics, health sciences, astronomy, geosciences, and environmental sciences. Contact Phone: 617-287-6428 Fax: 617-287-6438 Email: wei.ding@umb.edu Office Location S-3-179 Science Building Mailing Address Department of Computer Science University of Massachusetts Boston ATTN: Wei Ding 100 Morrissey Blvd. Boston, MA 02125-3393 News 2019 Spring, WISAY Distinguished Woman in Science Award, Yale University 2018 Fall, Outstanding Alumni Award, Computer Science Department, University of Houston 2018 Spring, AI for Earth Award 2018 Summer, WINS hosted the Tech-Savvy Camp 2017 Summer, NSF PI Award, EAGER: Advanced Machine Learning Techniques to Discover Disease Subtypes in Cancer. 2016 Spring, NIH PI Award, R01, Novel Approaches for Predicting Free-Living Physical Activities in Youth has been selected for funding. Biography Wei Ding received her Ph.D. degree in Computer Science from the University of Houston in 2008. She is an Associate Professor of Computer Science in the University of Massachusetts Boston. Her research interests include data mining, machine learning, artificial intelligence, computational semantics, and with applications to health sciences, astronomy, geosciences, and environmental sciences. She has published more than 122 referred research papers, 1 book, and has 2 patents. She is an Associate Editor of the ACM Transaction on Knowledge Discovery from Data (TKDD), Knowledge and Information Systems (KAIS) and an editorial board member of the Journal of Information System Education (JISE), the Journal of Big Data, and the Social Network Analysis and Mining Journal. She is the recipient of a Best Paper Award at the 2011 IEEE International Conference on Tools with Artificial Intelligence (ICTAI), a Best Paper Award at the 2010 IEEE International Conference on Cognitive Informatics (ICCI), a Best Poster Presentation award at the 2008 ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPAITAL GIS), and a Best PhD Work Award between 2007 and 2010 from the University of Houston. Her research projects are sponsored by NSF, NIH, NASA, and DOE. She is an IEEE senior member and an ACM senior member. PhD Students Yong Zhuang Machine Learning and Spatio-Temporal Data Mining Loves Badminton KDLab Member since 2015 Tianyu Kang Machine Learning Loves Badminton KDLab Member since 2015 Zihan Li Machine Learning Loves Badminton KDLab Member since 2015 Hadmid Reza Mohebbi Machine Learning and Big Data Loves Badminton KDLab Member since 2015 Chengjie Zheng Machine Learning Loves Badminton KDLab Member since 2015 Former PhD Students Dr. Joseph Cohen Postdoctoral Fellowi advised by Prof. Yoshua Bengio Univeristy of Montreal PhD, 2016, UMass Boston Dr. Yahui Di Data Scientist Monsanto/Climate Crop PhD, 2017, UMass Boston Dr. Henry Lo Consultant McKinsey & Company PhD, 2016, UMass Boston Dr. Yang Mu Research Scientist Facebook PhD, 2015, UMass Boston Dr. Dawei Wang Manager, Applied Science Amobee PhD, 2016, UMass Boston Dr. Chung-Hsien (Jacky) Yu Machine Learning Engineer PlayStation PhD, 2016, UMass Boston Former Visiting Scholars, Master Students, and Undergraduate Students Dr. Jipeng Qiang Soochow University, China, Visiting Scholar, 2015-2016, UMass Boston Tingting Lu, Beihang University, Visiting Scholar, 2015-2016, UMass Boston Ira Ceka, Undergraduate Student, 2016-2017, UMass Boston Daniel Manning Software Developer, IBM, 2016, UMass Boston Melissa Cruz, PhD Student, Tufts University, Undergraduate Student, 2015, UMass Boston Nicole Cote Developer, Cervello, Undergraduate Student, 2013, UMass Boston Alena Bertash, Business Intelligence Consultant, TriCore Solutions, Undergraduate Student, 2012, UMass Boston Timmy Mbaya Undergraduate Student, 2011, UMass Boston Veronica Carrillo Marquez, Co-Founder, F1V, Undergraduate Student, 2009, UMass Boston Dr. Kui Yu, University of South Australia, Visiting Scholar, 2011-2012, UMass Boston Kevin Amaral PhD Student, UMass Boston, Undergraduate Student, 2012-2013, UMass Boston Caitlin Kuhlman, PhD Student, WPI, Undergraduate Student, 2013-2014, UMass Boston Vy Nguyen Software Engineer, Google, Undergraduate Student, 2013, UMass Boston Anna Gavrilman, Software Engineer, Undergraduate Student, 2013-2014, UMass Boston Dr. Yin Li Associate Professor, Northwest A&F University, China, Visiting Scholar, 2013-2014, UMass Boston Dr. Ren Xiang, Importing Analyst, Evergreen Enterprises, Visiting Scholar, 2013-2014, UMass Boston Dr. Xu Yuan Associate Professor, School of Software Technology, Dalian University of Technology, Visiting Scholar, 2013-2014, UMass Boston Dr. Pei Yang, Lecturer, Nanjing University, China, Visiting Scholar, 2013-2014, UMass Boston Dr. Min Yang Associate Professor, Wuhan University, China, Visiting Scholar, 2013-2014, UMass Boston Dr. Ana Gonzalez Marcos, Associate Professor, University of La Rioja, Spain, Visiting Scholar, 2012, UMass Boston Siyi Liu Senior Software Engineer, PayPal, Master's Student, 2011, UMass Boston Pradnya Khutafale, Software Engineer, PatientKeeper, Master's Student, 2011, UMass Boston Max Choly Software Engineer, VMware, Undergraduate Student, 2010, UMass Boston William Isaac Miller, PhD Student, In Memoriam, 1985 - 2010, Miller's page Jue Wang Lead Quality Engineer, Cvent, Master's Student, 2010, UMass Boston Kartik Panjabi, Vice President, Goldman Sachs, Master's Student, 2010, UMass Boston Anshul Jain Master's Student, 2010, UMass Boston Susan Ngai Master's Student, 2010, UMass Boston Joshua A. Reyes Software Engineer, KAYAK, Master's Student, 2009, UMass Boston diff --git a/src/data/compiled_bios/1144.txt b/src/data/compiled_bios/1144.txt new file mode 100644 index 0000000000..b29212145c --- /dev/null +++ b/src/data/compiled_bios/1144.txt @@ -0,0 +1 @@ +Home Page of Peter A. Fejer I graduated from Reed College in Portland , Oregon with a BA in Mathematics in 1974. I did my graduate work in mathematics at the University of Chicago , where I received my SM in 1976 and my PhD, directed by Professor Robert I. Soare, in 1980. From 1980 to 1984, I was an HC Wang Assistant Professor in the Mathematics Department of Cornell University . From 1980 to 1981, I also had a National Science Foundation Postdoctoral Research Fellowship. Since 1984, I have been at the University of Massachusetts at Boston first in the Department of Mathematics and Computer Science, now in the Department of Computer Science , except for one sabbatical year and another sabbatical half year spent at Heidelberg University . I have been a full professor since 1995 and am currently Department Chair. Research My research interests are Computability Theory (also known as Recursion Theory) and Theoretical Computer Science. (See the Computability Theory Web Page for more information on Computability Theory.) I have co-authored a book, Mathematical Foundations of Computer Science, Volume 1: Sets, Relations and Induction , published by Springer-Verlag in their Texts and Monographs in Computer Science series. Volume 2, Logical Foundations of Computer Science , is in preparation. My articles (see publications list for the exact references) have mostly dealt with the study of the computably enumerable (also known as recursively enumerable) sets and their degrees under various reducibilities . Teaching I mainly teach courses in Theoretical Computer Science. My teaching schedule for Spring 2018 is: CS 420 Introduction to the Theory of Computation MW 16:00 - 17:15 Y-2-2300 My office hours are: M 15:00-16:00, 17:30-18:00 Tu 13:00-14:00 W 15:00-16:00, 17:30-18:00 Th 13:00-14:00 How To Reach Me Mailing Address Department of Computer Science University of Massachusetts Boston Boston , MA 02125 Office Science Building , Third Floor, Room 184 (S-3-184 for short) Phone (617) 287-6453 EMail fejer@cs.umb.edu Fax (617) 287-6433 diff --git a/src/data/compiled_bios/1145.txt b/src/data/compiled_bios/1145.txt new file mode 100644 index 0000000000..9ca224d6df --- /dev/null +++ b/src/data/compiled_bios/1145.txt @@ -0,0 +1 @@ +Kenneth Fletcher , PhD Associate Professor of Computer Science, College of Science and Mathematics Contact Phone: 617.287.3832 Fax: 617.287.6443 Email: Kenneth.Fletcher@umb.edu Office Location: S-1-075 Areas of Expertise Service Computing, Software Engineering, Cloud Computing Degrees PhD, Missouri University of Science and Technology MS, Missouri University of Science and Technology BS, Kwame Nkrumah University of Science and Technology Additional Information List of Publications: Refereed Journal Publications K. K. Fletcher, X. F. Liu and M. Tang, Elastic Personalized Non-Functional Attribute Preference and Trade-off based Service Selection ACM Transactions on the Web, 2015 9 (1), 1-26 DOI: dx.doi.org/ 10.1145/2697389 V. P. Modekurthy, X. F. Liu, K. K. Fletcher, and M. C. Leu, Design and Implementation of a Broker for Cloud Additive Manufacturing Services Journal of Manufacturing Science and Engineering, 2015. F. Liou, J. Newkirk, Z. Fan, T. Sparks, X. Chen, K. K. Fletcher, J. Zhang, Y. Zhang, K. S. Kumar, and S. Karnati, Multiscale and Multiphysics Modeling of Additive Manufacturing of Advanced Materials NASA scientific and technical information (STI), 2015. Refereed Conference Publications K. K. Fletcher, and X. F. Liu, A Collaborative Filtering Method for Personalized Preference-Based Service Recommendation, In Proceedings of the 22nd IEEE International Conference on Web Services (ICWS), New York, NY, June 2015, pp.400-407, DOI: dx.doi.org/10.1109/ICWS.2015.60 V. P. Modekurthy, K. K. Fletcher, X. F. Liu, and M. C. Leu, Personal Preference and Trade-Off Based Additive Manufacturing Web Service Selection. In Proceedings of the 22nd IEEE International Conference on Web Services (ICWS), New York, NY, June 2015, pp.440-447, DOI: dx.doi.org/10.1109/ICWS.2015.65 K. K. Fletcher, X. F. Liu and M. X. Cheng, Aggregating Ranked Services for Selection, In Proceedings of the 11th IEEE International Conference on Service Computing, Anchorage, AK, June 2014, pp.331-338, DOI: dx.doi.org/ doi: 10.1109/SCC.2014.51 I. H. Selvi, T. O. Ozcelik, K. K. Fletcher, O. Iyibilgin, M. C. Leu, F. X. Liu, A Framework and Prototype System for Cloud - Based Additive Manufacturing, In Proceedings of the International Symposium on Flexible Automation (ISFA 2014), Awaji-Island, Hyogo, Japan, July 2014. X. F. Liu, K. K. Fletcher, and M. Tang. Service Selection Based on Personalized Preference and Trade-Offs among QoS Factors and Price, In Proceedings of the 1st IEEE International Conference on Services Economics, Honolulu, HI, June 2012, pp. 32-39, DOI: dx.doi.org/ 10.1109/SE.2012.5 G. Kang, J. Liu, M. Tang, X. F. Liu, K. K. Fletcher, Web Service Selection for Resolving Conflicting Service Requests, In Proceedings of the 9th IEEE International Conference on Web Services (ICWS), Washington, DC, July 2011, pp.387-394, DOI: dx.doi.org/10.1109/ICWS.2011.37 K. K. Fletcher and X. F. Liu, Security Requirements Analysis, Specification, Prioritization and Policy Development in Cyber-Physical Systems, In Proceedings of the 5th IEEE International Conference on Secure Software Integration & Reliability Improvement Companion (SSIRI-C), Jeju Island, Korea, June 2011, pp.106-113, DOI: dx.doi.org/10.1109/SSIRI-C.2011.25 Refereed Book Chapter K. K. Fletcher and X. F. Liu, Cloud Security Requirements Analysis and Security Policy Development using HOOMT In Cloud Computing: Methodology, System, and Applications, 2011, Lizhe Wang, Boca Raton: CRC, Taylor & Francis Group. Patent K. K. Fletcher and T. E. Sparks. 2016. Additive Layering Method using Improved Build Description. United States 20160059493 http://www.freepatentsonline.com/y2016/0059493.html diff --git a/src/data/compiled_bios/1146.txt b/src/data/compiled_bios/1146.txt new file mode 100644 index 0000000000..20c3d85f9d --- /dev/null +++ b/src/data/compiled_bios/1146.txt @@ -0,0 +1 @@ +"At last man is to know truth about everything. It suffices that he should not lose heart at the complexity of the problems, and that he should allow no passion to cloud his mind." -- Jose Ortega y Gasset -- Gabriel Ghinita Associate Professor Department of Computer Science University of Massachusetts at Boston Office: Science Building, 3rd Floor, Room 88 (S-3-88) Phone: (617) 287-6479 Email: Gabriel.Ghinita at umb.edu Bio Publications Research I am an Associate Professor with the Department of Computer Science at University of Massachusetts, Boston. For the 2018/19 AY, I am on sabbatical leave as Visiting Associate Professor at the Computer Science department, University of Southern California. Prior to joining UMB in Fall 2011, I was a Research Associate affiliated with Purdue Cyber Center and Purdue Center for Education and Research in Information Assurance and Security (CERIAS) . My main research interests lie in the area of databases, with focus on information security and privacy. I am also interested in spatio-temporal databases and data management in large-scale distributed environments. Research Interests Privacy-Preserving Sharing of Location Data Location Privacy for Spatial Crowdsourcing Secure Data Provenance and Data Trustworthiness Assessment Privacy-Preserving Measurement of High-Speed Network Data Teaching Database Management Systems ( CS430 / CS630 , Spring 2018) IT Network Security ( IT443 , Spring 2018) Professional Activities PC Member: PVLDB'12-'14, SIGMOD'13, ICDE'15, ACM GIS'12-'16, WWW'11, CODASPY '12-'16 PC Chair: CODASPY 2016 Proceedings Chair: ICDE '14, WWW'11, GIS'11-'12 Registration Chair: SIGMOD'14 Journal Reviewer: VLDBJ, ACM TODS, IEEE TKDE, IEEE TPDS, IEEE TMC Professional Membership: ACM, IEEE, ACM SIGSPATIAL Education Ph.D., Computer Science, National University of Singapore (2008) B.S., Computer Science, "Politehnica" University of Bucharest (2003) My main research interests lie in the area of data security and privacy: geo-spatial context-aware access control outsourcing and digital rights management of spatio-temporal data private location-based queries privacy-preserving publishing of microdata and transactional data. Books and Book Chapters G. Ghinita , "Privacy for Location-based Services", Synthesis Lectures on Information Security, Privacy, and Trust, Morgan & Claypool Publishers 2013 E. Bertino, G. Ghinita and A. Kamra, "Access Control for Databases - Concepts and Systems", In Foundations and Trends in Databases, NOW Publishing, 2011 P. Kalnis and G. Ghinita , "Spatial Anonymity", In Encyclopedia of Database Systems, Springer 2009 P. Kalnis and G. Ghinita , "OLAP Results, Distributed Caching", In Encyclopedia of GIS, Springer 2008 Journal Articles M. Maruseac, G. Ghinita , "Precision-Enhanced Differentially-Private Mining of High-Confidence Association Rules" IEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2018 (to appear) H. To, G. Ghinita , L. Fan, C. Shahabi, "Differentially Private Location Protection for Worker Datasets in Spatial Crowdsourcing" IEEE Transactions on Mobile Computing (IEEE TMC), 2017 M. Maruseac, G. Ghinita , G. Trajcevski, P. Scheuermann, "Privacy-preserving detection of anomalous phenomena in crowdsourced environmental sensing using fine-grained weighted voting" Geoinformatica 2017 M. Maruseac, G. Ghinita "Processing uncertain spatial data resulting from differentially-private sanitization, ACM SIGSPATIAL Special, 2016 G. Ghinita , M.L. Damiani, C. Silvestri, E. Bertino, "Protecting Against Velocity-based, Proximity-based and External Event Attacks in Location-Centric Social Networks" ACM Transactions on Spatial Algorithms and Systems (ACM TSAS), 2016 S. Sultana, G. Ghinita , E. Bertino, M. Shehab, "A Lightweight Secure Scheme for Detecting Provenance Forgery and Packet Drop Attacks in Wireless Sensor Networks" IEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2015 E. Bertino, G. Ghinita , M. Kantarcioglu, D. Nguyen, J. Park, R. S. Sandhu, S. Sultana, B. M. Thuraisingham, S. Xu, "A roadmap for privacy-enhanced secure data provenance" Journal of Intelligent Information Systems (JIIS), 2014 S. Choi, G. Ghinita , H.-S. Lim, E. Bertino, "Secure kNN Query Processing in Untrusted Cloud Environments" IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2014 H. To, G. Ghinita , C. Shahabi, "A Framework for Protecting Worker Location Privacy in Spatial Crowdsourcing" Proceedings of Very Large Data Bases (PVLDB) , 2014 M. Kirkpatrick, G. Ghinita , E. Bertino, "Privacy-preserving Enforcement of Spatially Aware RBAC" IEEE Transactions on Dependable and Secure Computing (IEEE TDSC), Special Issue on Data and Application Security, 9(5), 627-640, 2012 A. Inan, M. Kantarcioglu, G. Ghinita , E. Bertino, "A Hybrid Approach to Private Record Matching" IEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 9(5), 684-698, 2012 M. Kirkpatrick, G. Ghinita , E. Bertino, "Resilient Authenticated Execution of Critical Applications in Untrusted Environments" IEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 9(4), 595-607, 2012 G. Ghinita , P. Kalnis, Y. Tao, "Anonymous Publication of Sensitive Transactional Data" IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 23(2), 161-174, 2011 G. Ghinita , P. Kalnis, M. Kantarcioglu, E. Bertino, "Approximate and Exact Hybrid Algorithms for Private Nearest-Neighbor Queries with Database Protection" Geoinformatica 15(4), 699-726, 2011 G. Ghinita , K. Zhao, D. Papadias, P. Kalnis, "A Reciprocal Framework for Spatial k-Anonymity" Information Systems Journal (IS), 35(3), 299-314, 2010 M.L. Yiu, G. Ghinita , C. Jensen, P. Kalnis, "Enabling Search Services on Outsourced Private Spatial Data" Very Large Data Bases Journal (VLDBJ), 19(3), 363-384, 2010 G. Ghinita , P. Karras, P. Kalnis, N. Mamoulis, "A Framework for Efficient Data Anonymization under Privacy and Accuracy Constraints" ACM Transactions on Database Systems (TODS), 34(2), 2009 G. Ghinita , "Private Queries and Trajectory Anonymization: a Dual Perspective on Location Privacy" Transactions on Data Privacy (TDP), 2(1), 3-19, 2009 P. Kalnis, G. Ghinita , K. Mouratidis, D. Papadias, "Preventing Location-Based Identity Inference in Anonymous Spatial Queries", IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 19(12), 1719-1733, 2007 Conference Papers R. Ahuja, G. Ghinita , C. Shahabi "A Utility-Preserving and Scalable Technique for Protecting Location Data with Geo-Indistinguishability" In Proceedings of International Conference on Extending Database Technology (EDBT), March 2019 F.-Y. Rao, G. Ghinita , E, Bertino, "Hybrid Differentially-Private String Matching" In Proceedings of International Conference on Distributed Computer Systems (ICDCS), July 2018 X. Yi, F.-Y. Rao, G. Ghinita , E, Bertino, "Privacy-Preserving Spatial Crowdsourcing Based on Anonymous Credentials" In Proceedings of International Conference on Mobile Data Management (MDM), July 2018 O. G. Niculaescu, G. Ghinita , "An Empirical Study of Differentially-Private Analytics for High-Speed Network Data." In Proceedings of ACM Conference on Data and Applications Security (ACM CODASPY), March 2018 J. Yang, O. G. Niculaescu, G. Ghinita "A Game-Oriented Educational Tool for Location Privacy Topics" In Proceedings of ACM International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS), November 2017 O. G. Niculaescu, G. Ghinita , M. Maruseac "Differentially-Private Big Data Analytics for High-Speed Research Network Traffic Measurement" In Proceedings of ACM Conference on Data and Applications Security (ACM CODASPY), March 2017 M. Maruseac, G. Ghinita , "Differentially-Private Mining of Representative Travel Patterns" (Best Student Paper Award) In Proceedings of IEEE International Conference on Mobile Data Management (IEEE MDM), June 2016 M. Maruseac, G. Ghinita , "Privacy-Preserving Mining of Sequential Association Rules from Provenance Workflows" In Proceedings of ACM Conference on Data and Applications Security (ACM CODASPY), March 2016 M. Maruseac, G. Ghinita , B. Avci, G. Trajcevski, P. Scheuermann, "Privacy-Preserving Detection of Anomalous Phenomena in Crowdsourced Environmental Sensing" In Proceedings of International Symposium on Spatial and Temporal Databases (SSTD), August 2015 M. Maruseac, G. Ghinita , M. Ouyang, R. Rughinis, "Hardware acceleration of Private Information Retrieval protocols using GPUs" In Proceedings of IEEE International Conference on Application-specific Systems, Architectures and Processors (IEEE ASAP), July 2015 H. To, G. Ghinita , C. Shahabi, "PrivGeoCrowd: A toolbox for studying private spatial Crowdsourcing" In Proceedings of IEEE International Conference on Data Engineering (IEEE ICDE), April 2015 M. Maruseac, G. Ghinita , "Differentially-Private Mining of Moderately-Frequent High-Confidence Association Rules" In Proceedings of ACM Conference on Data and Applications Security (ACM CODASPY), March 2015 S. Choi, G. Ghinita , E. Bertino, "Secure Mutual Proximity Zone Enclosure Evaluation" In Proceedings of ACM International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS), November 2014 M. Maruseac, G. Ghinita , M. Ouyang, R. Rughinis, "Towards Efficient Private Spatial Information Retrieval Using GPUs" In Proceedings of ACM International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS), November 2014 J. Zhang, G. Ghinita , C.-Y. Chow, "Differentially Private Location Recommendations in Geosocial Networks" In Proceedings of International Conference on Mobile Data Management (MDM), July 2014 W. Lin, X. Xiao, G. Ghinita , "Large-Scale Frequent Subgraph Mining in MapReduce" In Proceedings of International Conference on Data Engineering (ICDE), April 2014 G. Ghinita , R. Rughinis, "An efficient privacy-preserving system for monitoring mobile users: making searchable encryption practical" (Outstanding Paper Award) In Proceedings of ACM Conference on Data and Applications Security (CODASPY), March 2014 M. Maruseac, G. Ghinita , R. Rughinis, "Privacy-preserving publication of provenance workflows" In Proceedings of ACM Conference on Data and Applications Security (CODASPY), March 2014 G. Ghinita , R. Rughinis, "A privacy-preserving location-based alert system" In Proceedings of International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS), November 2013 J. Cao, Q. Xiao, G. Ghinita , N. Li, E. Bertino, K.-L. Tan, "Efficient and accurate strategies for differentially-private sliding window queries" In Proceedings of International Conference on Extending Database Technology (EDBT), March 2013 H. Lo, G. Ghinita , "Authenticating spatial skyline queries with low communication overhead" In Proceedings of ACM Conference on Data and Applications Security (CODASPY), February 2013 S. Sultana, G. Ghinita , E. Bertino "A Lightweight Secure Provenance Scheme for Wireless Sensor Networks" In Proceedings of IEEE International Conference on Parallel and Distributed Systems (ICPADS), December 2012 S. Choi, G. Ghinita , E. Bertino "Secure Sensor Network SUM Aggregation with Detection of Malicious Nodes" (best-paper award runner-up) In Proceedings of IEEE Conference on Local Computer Networks (LCN), October 2012 H.-S. Lim, G. Ghinita , E. Bertino, M. Kantarcioglu "A Game-Theoretic Approach for High-Assurance of Data Trustworthiness in Sensor Networks" In Proceedings of International Conference on Data Engineering (ICDE), April 2012 C. Dai, F.-Y. Rao, G. Ghinita , E. Bertino, "Privacy-Preserving Assessment of Location Data Trustworthiness" In Proceedings of International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS), November 2011 E. Bertino, G. Ghinita , "Towards Mechanisms for Detection and Prevention of Data Exfiltration by Insiders" In Proceedings of ACM Conference on Computer and Communications Security (ASIACCS) (invited paper), March 2011 K. Brancik, G. Ghinita "The optimization of situational awareness for insider threat detection" In Proceedings of ACM Conference on Data and Application Security and Privacy (CODASPY), February 2011 G. Ghinita , C. R. Vicente, N. Shang, E. Bertino, "Privacy-Preserving Matching of Spatial Datasets with Protection against Background Knowledge" In Proceedings of International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS), November 2010 S. Choi, G. Ghinita , E. Bertino, "A Privacy-Enhancing Content-Based Publish/Subscribe System using Scalar Product Preserving Transformations" In Proceedings of International Conference on Database and Expert Systems Applications (DEXA), August 2010 G. Ghinita , M. Azarmi, E. Bertino, "Privacy-aware Location-Aided Routing in Mobile Ad-hoc Networks" In Proceedings of International Conference on Mobile Data Management (MDM), May 2010 A. Inan, M. Kantarcioglu, G. Ghinita , E. Bertino, "Private Record Matching Using Differential Privacy" In Proceedings of International Conference on Extending Database Technology (EDBT), March 2010 N. Shang, G. Ghinita , Y. Zhou, E. Bertino, "Controlling Data Disclosure in Computational PIR Protocols" In Proceedings of ACM Conference on Computer and Communications Security (ASIACCS), April 2010 G. Ghinita , M. L. Damiani, C. Silvestri, E. Bertino, "Preventing Velocity-based Linkage Attacks in Location-Aware Applications" (best-paper award runner-up) In Proceedings of International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL GIS), November 2009 C. Dai, G. Ghinita , E. Bertino, J.-W. Byun, N. Li, "TIAMAT: a Tool for Interactive Analysis of Microdata Anonymization Techniques" In Proceedings of International Conference on Very Large Data Bases (VLDB), August 2009 (demo track) G. Ghinita , P. Kalnis, M. Kantarcioglu, E. Bertino, "A Hybrid Technique for Private Location-Based Queries with Database Protection" In Proceedings of International Symposium on Spatial and Temporal Databases (SSTD), July 2009 P. Rao, G. Ghinita , E. Bertino, J. Lobo, "Visualizing Access Control Policy Analysis Results" In Proceedings of International Symposium on Policies for Distributed Systems and Networks (POLICY), July 2009 G. Ghinita , M. L. Damiani, E. Bertino, C. Silvestri, "Interactive Location Cloaking with the PROBE Obfuscator" In Proceedings of International Conference on Mobile Data Management (MDM), May 2009 (demo track) M. L. Yiu, G. Ghinita , C. Jensen, P. Kalnis, "Outsourcing of Private Spatial Data for Search Services", In Proceedings of International Conference on Data Engineering (ICDE) March 2009 G. Ghinita , P. Kalnis, A. Khoshgozaran, C. Shahabi, K.-L.Tan, "Private Queries in Location Based Services: Anonymizers are not Necessary", In Proceedings of ACM SIGMOD Conference June 2008 G. Ghinita , Y. Tao, P. Kalnis "On the Anonymization of Sparse High-Dimensional Data", In Proceedings of International Conference on Data Engineering (ICDE) April 2008 N. Vyahhi, S. Bakiras, P. Kalnis, G. Ghinita "Tracking Moving Objects in Anonymized Trajectories", In Proceedings of International Conference on Database and Expert Systems Applications (DEXA) September 2008 K. Bharath, G. Ghinita , P. Kalnis "Privacy-Preserving Publication of User Locations in the Proximity of Sensitive Sites", In Proceedings of International Conference on Scientific and Statistical Database Management (SSDBM) July 2008 G. Ghinita , P. Karras, P. Kalnis, N. Mamoulis, "Fast Data Anonymization with Low Information Loss", In Proceedings of International Conference on Very Large Data Bases (VLDB) September 2007 G. Ghinita , P. Kalnis, S. Skiadopoulos, "MobiHide: A Mobile Peer-to-Peer System for Anonymous Location-Based Queries", In Proceedings of International Symposium on Spatial and Temporal Databases (SSTD) July 2007 G. Ghinita , P. Kalnis, S. Skiadopoulos, "PRIVE: Anonymous Location-Based Queries in Distributed Mobile Systems", In Proceedings of International World Wide Web Conference (WWW) May 2007 G. Ghinita , Y.M. Teo, "An Adaptive Stabilization Framework for Distributed Hash Tables", In Proceedings of IEEE International Parallel and Distributed Processing Symposium (IPDPS) April 2006 Workshop Papers S. Costea, G. Ghinita , D. M. Barbu, R. Rughinis, "A Comparative Evaluation of Private Information Retrieval Techniques in Location-Based Services", In Proceedings of International Workshop on Secure Internet of Things (SIOT), 2012 E.-A. Cho, G. Ghinita , E. Bertino, "Privacy-Preserving Similarity Measurement for Access Control Policies", In Proceedings of ACM Workshop on Digital Identity Management (DIM), 2010 C.R. Vicente, M. Kirkpatrick, G. Ghinita , E. Bertino, C. Jensen, "Requirements and Challenges of Location-Based Access Control in Healthcare Emergency Response", In Proceedings of SIGSPATIAL ACM GIS International Workshop on Security and Privacy in GIS and LBS (SPRINGL), 2009 G. Ghinita , "Understanding the Privacy-Efficiency Trade-off in Location Based Queries", In Proceedings of SIGSPATIAL ACM GIS International Workshop on Security and Privacy in GIS and LBS (SPRINGL), 2008 (invited paper - keynote) Funded Projects NSF SaTC: "Capacity Building in Security, Privacy and Trust for Geospatial Applications", 9/1/2015-8/31/2017, $237,783 NSF IRNC: "Software-Defined and Privacy-Preserving Network Measurement Instrument and Services for Understanding Data-Driven Science Discovery", 4/1/2015-3/31/2018, $416,574 NSF TC: "Privacy-Enhanced Secure Data Provenance", Purdue University Subcontract 4101-44026, 8/1/2011-7/31/2016, $186,500 Last Updated: December 2018 diff --git a/src/data/compiled_bios/1147.txt b/src/data/compiled_bios/1147.txt new file mode 100644 index 0000000000..a9160f7bc3 --- /dev/null +++ b/src/data/compiled_bios/1147.txt @@ -0,0 +1 @@ +Nurit Haspel Computer Science Department Home CV Publications Research Students Contact information Address: Computer Science Department, University of Massachusetts Boston 100 Morrissey Blvd. Boston, MA 02125 USA Office: S-3-071 (Science building, 3rd floor, room 71) Email: nurit dot haspel at umb dot edu Phone: 617-287-6414 About me I am an associate professor in the department of Computer Science at the University of Massachusetts, Boston. Before that I was a postdoctoral research associate with the Physical and Biological Computing group at Rice University . I graduated from the Department of Computer Science in Tel Aviv University , Israel, where I was a member of the structural bioinformatics group . Research Interests My research lies in the areas of computational structural biology and structural bioinformatics. My goal is to better understand the structure and flexibility of proteins, to model conformational changes in proteins, and to design novel nano-structures which may contribute to the understanding of the self-assembly properties of proteins and facilitate experimental nano-design. In my research, I focus on both the development of novel algorithms and the application of state-of-the-art existing methodologies to various problems in molecular biology, nanobiology and biochemistry. A detailed (albeit not always updated...) description of my past and present research can be found here . Teaching I am on sabbatical leave at Boston University in Spring 2017. Past courses Advanced data structures and algorithms ( CS310 ), since Fall 2009 Analysis of algorithms ( CS624 , Spring 2010, 2012, 2015, Fall 2015) Algorithms in Bioinformatics ( CS612 , Spring 2010, 2012, 2014.) Science gateway seminar( CS187/188 , Fall 2013-Spring 2014.) Announcements I am the general co-chair for ACM-BCB 2017 , which will take place in August 2017 in Boston. A paper co-authored by Dong Luo was accepted to IEEE-ICCABS 2016 and was selected for an extended journal version. A paper co-authored by Roshanak Farhoodi was accepted to IEEE-ICCABS 2016 Amir Vajdi's paper was accepted to BICoB 2016 . Bahar Akbal-Delibas' paper, co-authored with Marc Pomplun , was accepted to BICoB 2015 . An extended version of the paper, co authored with Roshanak Farhoodi, appeared in the Journal of Computational Biology Congratulations to Dr. Bahar Akbal-Delibas for a successful thesis defense! Congratulations to Roshanak Farhoodi for winning the Sanofi Genzyme fellowship for Spring 2015. A paper co-authored by Rosanne, Roshanak and Rohith, was accepted to BBH 2014 . Bahar Akbal-Delibas' paper, co-authored with Marc Pomplun , was accepted to ACM-BCB 2014. I am the program co-chair for BICoB-2015 (International conference on bioinformatics and computational biology), which will take place in March 2015 in Honolulu, HI. See CFP for details. CSBW (The Computational Structural Bioinformatics Workshop) will take place on September 20 in conjunction with ACM-BCB . Bahar Akbal-Delibas' paper, co-authored with Marc Pomplun , was accepted to ACM-BCB 2014. Valid XHTML 1.0 | Copyright Nurit Haspel | Design by super j man diff --git a/src/data/compiled_bios/1148.txt b/src/data/compiled_bios/1148.txt new file mode 100644 index 0000000000..35cbd050f0 --- /dev/null +++ b/src/data/compiled_bios/1148.txt @@ -0,0 +1 @@ +WELCOME TO XIAOHUI LIANG'S HOMEPAGE Home Research Projects Publications Teaching Professional activities honors & awards Resources Contact Xiaohui Liang Assistant Professor Mobile Security and Privacy (MobSP) Lab Department of Computer Science University of Massachusetts at Boston Address: Science Building, 3rd Floor, Room 80 (S-3-80) 100 Morrissey Boulevard, Boston, MA 02125, US Office Phone: 617-287-6791 Email: Xiaohui.Liang~at~umb.edu Xiaohui Liang is an Assistant Professor with the Department of Computer Science at University of Massachusetts, Boston (UMB) where he leads the Mobile Security and Privacy (MobSP) Lab . Prior to joining UMB in Fall 2015, he was a Postdoctoral Researcher (with Prof. David Kotz, FIEEE ) at Dartmouth College, Hanover, NH in THaW project from National Science Foundation. He received the PhD degree (awarded Outstanding Achievement in Graduate Studies) in Electrical and Computer Engineering (under Prof. Sherman Shen, FIEEE and Prof. Xiaodong Lin, FIEEE ), University of Waterloo, Canada, in 2013. He received the BSc and MSc degree in Computer Science from Shanghai Jiao Tong University, China, in 2006 and 2009, respectively. His research interests are Security and Privacy for Mobile Healthcare, Internet of Things, and Wearable Computing. His Google Scholar H-Index is 39 as of Aug, 2018. Here is his CV. [ PDF ]. He is looking for self-motivated Ph.D. students who are interested in cyber security research! Please email your C.V. if interested. Updates January 7, 2019 - Xiaohui will teach a new course CS480/697 "Special Topics in Applied Cryptography" in Spring 2019. Please send me an email or Debbie Wade for enrollment. November 20, 2018 - Congratulations to my first PhD student Thamer AlTuwaiyan, who successfully defended his thesis on "Toward Data Privacy Related to the Internet of Things"! [ Photo ] October 20, 2018 - Two papers have been accepted by IEEE ICNC 2019. September 1, 2018 - Congratulations to my PhD student Mohammad Hadian , who joined the Computer Science Department of Clark University as a Visiting Assistant Professsor 2018-2019! July 15, 2018 - Two papers have been accpeted by IEEE GLOBECOM 2018. Thanks to my PhD students! July 13, 2018 - Xiaohui gave a talk on "Towards Trustworthy User Review Social Networks" at 2018 International Workshop on Internet of Things, Chengdu, Sichuan, China, July 13-14, 2018. May 9, 2018 - One paper "Securely Connecting Wearables to Ambient Displays with User Intent" has been accpeted by IEEE Transactions on Dependable and Secure Computing 2018. April 13, 2018 - One paper "Privacy-preserving Voice-based Search over mHealth Data" has been accpeted by Journal of Smart Health 2018. Thanks to my PhD student Mohammad! March 21, 2018 - Xiaohui gave a talk on "Smoke Screener or Straight Shooter: Detecting Elite Sybil Attacks in User-Review Social Networks" at Dartmouth College, NH March 16, 2018 - One paper "WiVo: Enhancing the Security of Voice Control System via Wireless Signal in IoT Environment" has been accpeted by the International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc) 2018. (Accepting ratio 16.9%). Jan 7, 2018 - One paper "EPIC: Efficient Privacy-preserving Contact Tracing for Infection Detection" has been accepted by IEEE ICC Conference, 2018. Thanks to my PhD student Thamer! January 4, 2018 - Xiaohui received a Joseph P. Healey Research Grant (Jan. 2018 - Dec. 2018) from University of Massachusetts Boston ! November 22, 2017 - Xiaohui received the IEEE Technical Committee on Scalable Computing (TCSC) Award for Excellence in Scalable Computing for Early Career Researchers (ECR) 2017 . [ Cert ] October 26, 2017 - One paper "Smoke Screener or Straight Shooter: Detecting Elite Sybil Attacks in User-Review Social Networks" has been accepted by the Network and Distributed System Security Symposium (NDSS 2018) . (Acceptance ratio 20%) September 26, 2017 - Xiaohui received 2017 Best Land Transportation Paper Award for his paper co-authored with Rongxing Lu, Xiaodong Lin, Tom H. Luan, Xuemin Shen entitled "Pseudonym changing at social spots: An effective strategy for location privacy in VANETs," IEEE Transactions on Vehicular Technology, Vol. 61, No. 1, pp. 86-96, January 2012. [ Cert ][ Photo ] October 13, 2017 - We are organizing a special issue on "Security in Medical Cyber-Physical Systems" at Smart Health by Elsevier, the deadline is September 30, 2017. Check CFP! September 1, 2017 - One paper "SPICE: Secure Proximity-based Infrastructure for Close Encounters" has been accepted by CrowdSenSys 2017. August 31, 2017 - Xiaohui gave a talk on "Towards Privacy Preserving Autonoumous Vehicle Sharing Services"at Zhejiang University, China. July 25, 2017 - One paper "Re-DPoctor: Real-time Health Data Releasing with w-day Differential Privacy" has been accepted by IEEE GLOBECOM 2017. June, 2017 - Xiaohui has joined the Technical Program Committee of WCSP 2017, ICC 2018. May 15, 2017 - One paper "Privacy-preserving Time-sharing Services for Autonomous Vehicles" has been accepted by IEEE Vehicular Technology Conference (VTC) , 2017. Thanks to my PhD student Mohammad! April 27, 2017 - One paper "Efficient and Privacy-preserving Voice-based Search over mHealth Data" has been accepted by IEEE Workshop on Security, Privacy, and Trustworthiness in Medical Cyber-Physical Systems (MedSPT) in conjunction with CHASE 2017. April 25, 2017 - One paper "AuthoRing: Wearable User-presence Authentication" has been accepted by ACM Workshop on Wearable Systems and Applications (WearSys) in conjunction with MobiSys 2017. November 25, 2016 - One paper "LightTouch: Securely Connecting Wearables to Ambient Displays with User Intent" has been accepted by IEEE INFOCOM , 2017. (Acceptance ratio 20.93%) October 21, 2016 - One paper "Efficient Public Verification of Data Integrity for Cloud Storage Systems from Indistinguishability Obfuscation" has been accepted by IEEE Transactions on Information Forensics & Security , 2016. October 12, 2016 - One paper "Exploiting Social Network to Enhance Human-to-Human Infection Analysis Without Privacy Leakage" has been accepted by IEEE Transactions on Dependable and Secure Computing , 2016. September, 2016 - Xiaohui has joined the Technical Program Committee of ICCCN 2017, VTC 2017. September 27-28, 2016 - Xiaohui attended 2016 Strategic Innovation Symposium: The Intelligent Enterprise at Harvard University in Boston, MA. [ Program ] August 24, 2016 - One paper "Privacy Leakage of Location Sharing in Mobile Social Networks: Attacks and Defense" has been accepted by IEEE Transactions on Dependable and Secure Computing , 2016. August 9, 2016 - One research project " Towards Privacy-Preserving Autonomous Vehicle Sharing Services " has been funded by National Science Foundation . [ Link ] July 31, 2016 - Xiaohui gave a talk on "Security, Privacy, and Trustworthiness in Medical Cyber Physical Systems"at Zhejiang University, China. [ Link ] July 22, 2016 - One paper "When CSI Meets Public WiFi: Inferring Your Mobile Phone Password via WiFi Signals" has been accepted by the 23nd ACM Conference on Computer and Communications Security (CCS 2016) . (Acceptance ratio 16.37%) July 22-24, 2016 - Xiaohui attended the third annual Community College Cyber Summit (3CS) at Pittsburgh, Pennsylvania. July 1, 2016 - One paper "Privacy-preserving mHealth Data Release with Pattern Consistency" has been accepted by IEEE GLOBECOM 2016. Thanks to my PhD students Mohammad! June 27, 2016 - The First International Workshop on Security, Privacy, and Trustworthiness in Medical Cyber Physical Systems (MedSPT 2016) has been successfully held! It is organized in conjunction with IEEE CHASE 2016 at Washington DC! [ Program ] May 23, 2016 - One paper "Towards Efficient and Privacy-preserving Location-based Comment Sharing" has been accepted by IEEE/CIC International Conference on Communications in China (ICCC), 2016. Thanks to my PhD student Thamer! May 9-10, 2016 - Xiaohui presented a poster "Torwards Privacy-Preserving mHealth Data Release" at the Computing Community Consortium workshop on Computing Research: Addresssing National Priorities and Societal Needs at Washington, DC. [Poster Video] May 9, 2016 - One paper "Privacy-Preserving Ride Sharing Scheme for Autonomous Vehicles in Big Data Era" has been accepted by IEEE Internet of Things Journal , 2016. April 13, 2016 - Xiaohui received an Internet of Things (IoT) Technology Research Award from Google ! [ Flyer ] April 12, 2016 - Xiaohui received a Joseph P. Healey Research Grant (July 2016 - June 2017) from University of Massachusetts Boston ! April 4, 2016 - Xiaohui attended NSF CISE CAREER Workshop at Arlington, Virginia. March 27, 2016 - Xiaohui has joined the Technical Program Committee of IEEE INFOCOM 2017. February 28, 2016 - Xiaohui has joined the Technical Program Committee of IEEE GLOBECOM 2016. January 15, 2016 - One paper "PIF: A Personalized Fine-grained Spam Filtering Scheme with Privacy Preservation in Mobile Social Network" has been accepted by IEEE Transactions on Computational Social Systems , 2016. Nov 26, 2015 - One paper "Wanda: Securely Introducing Mobile Devices" has been accepted by IEEE INFOCOM , 2016. (Acceptance ratio 18.25%) Oct. 14, 2015 - Xiaohui gave a tutorial presentation on "Security and Privacy in E-health Systems" at IEEE HealthCom 2015. May 11, 2015 - One paper "Security and Privacy for Mobile Healthcare Networks - from Quality-of-Protection Perspective" has been accepted by IEEE Wireless Communications Magazine , 2015. March 24, 2015 - Xiaohui has joined the Technical Program Committee of IEEE INFOCOM 2016. Februray 19, 2015 - One paper "Enabling Fine-grained Multi-keyword Search Supporting Classified Sub-dictionaries over Encrypted Cloud Data" has been accepted by IEEE Transactions on Dependable and Secure Computing , 2015. January 5, 2015 - Xiaohui attended the National Science Foundation Secure and Trustworthy Cyberspace (SaTC) Principal Investigators' Meeting and presented a poster on January 5-7, 2015 in Arlington, Virginia. December 1, 2014 - Xiaohui received the " Statement of Accomplishment with Distinction " from Vanderbilt University's course "An Introduction to Evidence-Based Undergraduate STEM Teaching". (196 out of 5908 participants, 3.3%) November 16, 2014 - One paper "Exploiting Mobile Social Behaviors for Sybil Detection" has been accepted by IEEE INFOCOM 2015. (Acceptance ratio 19%) August 19, 2014 - Xiaohui gave a presentation on "Securely Connecting Wearable Health Devices to External Displays," USENIX Summit on Health Information Technologies, August, 2014. Presentation July 21, 2014 - His SpringerBriefs book "Security and Privacy in Mobile Social Networks", was reviewed in Julys ACM Computing Reviews. Review June 16-19, 2014 - Xiaohui attended Mobisys 2014 held in Bretton Woods, US, and presented a poster "Balancing Disclosure and Utility of Personal Infomation". April 27-May 2, 2014 - Xiaohui attended Infocom 2014 held in Toronto, Canada. January 23, 2014 - Xiaohui joined the Department of Computer Science at Dartmouth College as a Postdoctoral Researcher, funded by Trustworthy Health and Wellness (THaW). December, 2014 - Xiaohui attended the Trustworthy Health and Wellness (THaW) Kick-off meeting. November , 2013 - One SpringerBriefs book "Mobile Social Network: Challenges and Solutions of Security and Privacy" has been submitted and accepted. August, 2013 - Xiaohui received the "Outstanding Achievement in Graduate Studies" honour from University of Waterloo. June, 2013 - One paper "EPS: An Efficient and Privacy-Preserving Service Searching Scheme for Smart Community" has been accepted by IEEE Sensor Journal. May, 2013 - Xiaohui received the Doctoral Thesis Completion Award, University of Waterloo. January, 2013 - One paper "Fully Anonymous Profile Matching in Mobile Social Networks" has been accepted by IEEE Journal on Selected Areas in Communications. diff --git a/src/data/compiled_bios/1149.txt b/src/data/compiled_bios/1149.txt new file mode 100644 index 0000000000..cba42dfa6c --- /dev/null +++ b/src/data/compiled_bios/1149.txt @@ -0,0 +1 @@ +Betty O'Neil Professor, Department of Computer Science Departmental listing: picture, etc. CV/resume Interests Database storage engines Object/relational mapping, use in database-backed web sites (J2EE, .NET) Systems, Database, and Network Performance Projects Improving MMDB Performance: Adding Escrow Transactions to VoltDB Object/Relational Mapping : Microsoft Entity Data Model (EDM) and Hibernate 3 side-by-side example. Teaching, Spring 2015 CS436/636 Database Application Development MW 7:00-8:15 in S-2-064 CS437/637 Database-backed Websites and Web Services MW 5:30-6:45 in M-1-614 Reaching me: email: eoneil@cs.umb.edu US mail: Department of Computer Science University of Massachusetts at Boston 100 Morrissey Blvd. Boston, MA 02125-3393 USA Phone: +1 617 287-6455 University office phone +1 617 354-6460 home phone, with answering machine, FAX by arrangement Last updated Dec. 22, 2014 diff --git a/src/data/compiled_bios/115.txt b/src/data/compiled_bios/115.txt new file mode 100644 index 0000000000..1468293be1 --- /dev/null +++ b/src/data/compiled_bios/115.txt @@ -0,0 +1 @@ + ABHISHEK BHATTACHARJEE Associate Professor Department of Computer Science Yale University HOME CV PUBLICATIONS EMAIL DBLP SCHOLAR STUDENTS Jn Vesel Karthik Sriram ALUMNI Zi Yan, PhD '19 - NVIDIA Guilherme Cox, PhD '18 - NVIDIA Binh Pham, PhD '15 - Intel I run the Systems Architecture Group within Yale's Computer Systems Lab . We work at the boundary between architecture and systems software to build computer systems from the classical, like data centers , to the forward-looking, like brain interfaces . Some of our research has been integrated in commercial chips and operating systems. Specific contributions include coalesced TLBs , which are now implemented in AMD's chips ; hugepage optimizations that we have integrated into the Linux kernel ; and the compilation stack in the PsyNeuLink simulator for cognitive neuroscience . selected teaching and research more... Teaching Materials PDF Advanced Concepts on Address Translation Appendix L in "Computer Architecture: A Quantitative Approach" by Hennessy and Patterson PDF Architectural and Operating System Support for Virtual Memory Synthesis lecture monograph on basic and advanced virtual memory concepts Selected Research Publications PDF Nimble Page Management for Tiered Memory Systems, ASPLOS '19 Native transparent hugepage migration has been integrated into the Linux kernel Our experimental kernel is available here PDF Scalable Distributed Last-Level TLBs Using Low-Latency Interconnects, MICRO '18 PDF Generic System Calls for GPUs, ISCA '18 Selected for honorable mention in IEEE Micro's Top Picks in Computer Architecture journal Released under the Radeon Open Compute project for ultrascale computing PDF SEESAW: Using Superpages to Improve VIPT Caches, ISCA '18 PDF Scheduling Page Table Walks for Irregular GPU Applications, ISCA '18 PDF LATR: Lazy Translation Coherence, ASPLOS '18 Our experimental kernel is available here PDF Using Branch Predictors to Predict Brain Activity in Brain-Machine Implants, MICRO '17 Selected for honorable mention in IEEE Micro's Top Picks in Computer Architecture journal PDF Hardware Translation Coherence for Virtualized Systems, ISCA '17 PDF Translation-Triggered Prefetching, ASPLOS '17 Best paper award nominee Selected for inclusion in IEEE Micro's Top Picks in Computer Architecture journal PDF Efficient Address Translation for Architectures with Multiple Page Sizes, ASPLOS '17 PDF COATCheck: Verifying Memory Ordering at the Hardware-OS Interface, ASPLOS '16 Selected for inclusion in IEEE Micro's Top Picks in Computer Architecture journal Our COATCheck tool is available here PDF Architectural Support for Address Translation on GPUs, ASPLOS '14 Selected for inclusion in IEEE Micro's Top Picks in Computer Architecture journal PDF CoLT: Coalesced Large-Reach TLBs, MICRO '12 Integrated in AMD chips, beginning with the Zen architecture The following list of publications includes only peer-reviewed conference and journal manuscripts as well as select blog entries. For arxiv preprints and technical reports, please see my DBLP page. 2019 PDF [ASPLOS] Nimble Page Management for Tiered Memory Systems Zi Yan, Daniel Lustig, David Nellans, Abhishek Bhattacharjee We have upstreamed native hugepage migration into the Linux kernel Our experimental kernel is available here 2018 PDF [Textbook] Advanced Concepts on Address Translation Abhishek Bhattacharjee Appendix L in "Computer Architecture: A Quantitative Approach" by Hennessy and Patterson PDF [OSDI] Poster: Mitosis: Transparently Self-Replicating Page Tables for Big Memory Machines Reto Achermann, Jayneel Gandhi, Abhishek Bhattacharjee, Timothy Roscoe PDF [SIGOPS OS Review] Hardware Translation Coherence for Virtualized Systems Zi Yan, Jn Vesel, Guilherme Cox, Abhishek Bhattacharjee PDF [MICRO] Scalable Distributed Last-Level TLBs Using Low-Latency Interconnects Srikant Bharadwaj*, Guilherme Cox*, Tushar Krishna, Abhishek Bhattacharjee *Joint first authors PDF [ISCA] Generic System Calls for GPUs Jn Vesel, Arkaprava Basu, Abhishek Bhattacharjee, Gabriel Loh, Mark Oskin, Steve Reinhardt Selected for honorable mention in IEEE Micro's Top Picks in Computer Architecture journal We have released our GENESYS system call interface under the Radeon Open Compute project for ultrascale computing PDF [ISCA] SEESAW: Using Superpages to Improve VIPT Caches Mayank Parasar, Abhishek Bhattacharjee, Tushar Krishna PDF [ISCA] Scheduling Page Table Walks for Irregular GPU Applications Seungshee Shin, Guilherme Cox, Mark Oskin, Gabriel Loh, Yan Solihin, Abhishek Bhattacharjee, Arkaprava Basu PDF [ASPLOS] LATR: Lazy Translation Coherence Mohan Kumar*, Steffen Maass*, Sanidhya Kashyap, Jn Vesel, Zi Yan, Taesoo Kim, Abhishek Bhattacharjee, Tushar Krishna *Joint first authors Our experimental kernel is available here PDF [CODASPY] Secure, Consistent, and High-Performance Memory Snapshotting Guilherme Cox, Zi Yan, Abhishek Bhattacharjee, Vinod Ganapathy PDF [CAL] TLB Shootdown Mitigation for Low-Power Many-Core Servers with L1 Virtual Caches Binh Pham, Derek Hower, Abhishek Bhattacharjee, Trey Cain PDF [Top Picks] Breaking the Address Translation Wall by Accelerating Memory Replays Abhishek Bhattacharjee IEEE Micro's Top Picks in Computer Architecture award paper based on ASPLOS 2017 paper 2017 PDF [IEEE Micro] Preserving Virtual Memory by Mitigating the Address Translation Wall Abhishek Bhattacharjee PDF [Textbook] Architectural and Operating System Support for Virtual Memory Abhishek Bhattacharjee, Daniel Lustig Morgan Claypool's Synthesis Lectures in Computer Architecture PDF [MICRO] Using Branch Predictors to Predict Brain Activity in Brain-Machine Implants Abhishek Bhattacharjee Selected for honorable mention in IEEE Micro's Top Picks in Computer Architecture journal PDF [PACT] Poster: Exploiting Approximations for Energy/Quality Tradeoffs in Service-Based Applications Liu Liu, Sibren Isaacman, Abhishek Bhattacharjee, Ulrich Kremer PDF [ISCA] Hardware Translation Coherence for Virtualized Systems Zi Yan, Jn Vesel, Guilherme Cox, Abhishek Bhattacharjee PDF [SIGARCH Blog] Preserving the Virtual Memory Abstraction Abhishek Bhattacharjee PDF [Top Picks] Transistency Models: Memory Ordering at the Hardware-OS Interface Daniel Lustig, Geet Sethi, Abhishek Bhattacharjee, Margaret Martonosi IEEE Micro's Top Picks in Computer Architecture award paper based on ASPLOS 2016 paper PDF [ASPLOS] Translation-Triggered Prefetching Abhishek Bhattacharjee Best paper award nominee Selected for inclusion in IEEE Micro's Top Picks in Computer Architecture journal PDF [ASPLOS] Efficient Address Translation for Architectures with Multiple Page Sizes Guilherme Cox, Abhishek Bhattacharjee 2016 PDF [VEE] Panel: Sweet Spots and Limits for Virtualization Carl Waldspurger, Emery Berger, Abhishek Bhattacharjee, Kevin Pedretti, Simon Peter, Chris Rossbach PDF [LCTES] Poster: Improving Energy-Bound Application Effectiveness through Redundancy and Approximation Liu Liu, Timothy Yong, Jonathan Risinger, Sibren Isaacman, Abhishek Bhattacharjee, Ulrich Kremer PDF [ISPASS] Observations and Opportunities in Architecting Shared Virtual Memory for Heterogeneous Systems Jn Vesel, Arkaprava Basu, Mark Oskin, Gabriel Loh, Abhishek Bhattacharjee PDF [ASPLOS] COATCheck: Verifying Memory Ordering at the Hardware-OS Interface Daniel Lustig*, Geet Sethi*, Margaret Martonosi, Abhishek Bhattacharjee *Joint first authors Selected for inclusion in IEEE Micro's Top Picks in Computer Architecture journal We have open-sourced our COATCheck tool 2015 PDF [MICRO] Large Pages and Lightweight Memory Management in Virtualized Environments: Can You Have it Both Ways? Binh Pham, Jn Vesel, Gabriel Loh, Abhishek Bhattacharjee Best paper award nominee PDF [Top Picks] Address Translation for Throughput Oriented Accelerators Bharath Pichai, Lisa Hsu, Abhishek Bhattacharjee IEEE Micro's Top Picks in Computer Architecture award paper based on ASPLOS 2014 paper 2014 PDF [ASPLOS] Architectural Support for Address Translation on GPUs Bharath Pichai, Lisa Hsu, Abhishek Bhattacharjee Selected for inclusion in IEEE Micro's Top Picks in Computer Architecture journal PDF [HPCA] Increasing TLB Reach by Exploiting Clustering in Page Translations Binh Pham, Abhishek Bhattacharjee, Yasuko Eckert, Gabriel Loh 2013 PDF [MICRO] Large-Reach Memory Management Unit Caches Abhishek Bhattacharjee PDF [IWQoS] Quantifying and Improving I/O Predictability in Virtualized Systems Cheng Li, igo Goiri, Abhishek Bhattacharjee, Ricardo Bianchini, Thu Nguyen PDF [TACO] TLB Improvements for Chip Multiprocessors: Inter-Core Cooperative TLB Prefetchers and Shared Last-Level TLBs Daniel Lustig, Abhishek Bhattacharjee, Margaret Martonosi 2012 PDF [MICRO] CoLT: Coalesced Large-Reach TLBs Binh Pham, Viswanathan Vaidyanathan, Aamer Jaleel, Abhishek Bhattacharjee Coalesced TLBs are now being implemented on AMD chips, starting with its Zen architecture PDF [MICRO] CoScale: Coordinated CPU and Memory System DVFS in Server Systems Qingyuan Deng, David Meisner, Abhishek Bhattacharjee, Thomas Wenisch, Ricardo Bianchini PDF [ISLPED] MultiScale: Memory System DVFS with Multiple Memory Controllers Qingyuan Deng, David Meisner, Abhishek Bhattacharjee, Thomas Wenisch, Ricardo Bianchini 2011 PDF [HPCA] Shared Last-Level TLBs for Chip Multiprocessors Abhishek Bhattacharjee, Daniel Lustig, Margaret Martonosi PDF [TACO] Parallelization Libraries: Characterizing and Reducing Overheads Abhishek Bhattacharjee, Gilberto Contreras, Margaret Martonosi 2010 PDF [ASPLOS] Inter-Core Cooperative TLB Prefetchers for Chip Multiprocessors Abhishek Bhattacharjee, Margaret Martonosi 2009 PDF [PACT] Characterizing the TLB Behavior of Emerging Parallel Workloads on Chip Multiprocessors Abhishek Bhattacharjee, Margaret Martonosi Best paper award nominee PDF [ISCA] Thread Criticality Predictors for Dynamic Performance, Power, and Resource Management in Chip Multiprocessors Abhishek Bhattacharjee, Margaret Martonosi 2008 PDF [ISLPED] Full-System Chip Multiprocessor Power Evaluations Using FPGA-Based Emulation Abhishek Bhattacharjee, Margaret Martonosi diff --git a/src/data/compiled_bios/1150.txt b/src/data/compiled_bios/1150.txt new file mode 100644 index 0000000000..62b3b17edc --- /dev/null +++ b/src/data/compiled_bios/1150.txt @@ -0,0 +1 @@ +Ming Ouyang Associate Professor Department of Computer Science University of Massachusetts Boston Email: ming dot ouyang at umb dot edu Computer Science Undergraduate Programs Computer Science is no more about computers than astronomy is about telescopes. Edsger Dijkstra (1930 -- 2002) I am the UMB CS Undergraduate Program Director. Office Hours Tuesday, Wednesday, and Thursday 3:00-4:00 -- no appointment is needed Email me to make an appointment if you can not come during the regular hours Location: S-3-70 Advising Instructions of pre-registration advising CS course prerequisite chart (updated 4/2018) BSCS advising form BACS advising form Undergraduate Certificate in CS Please contact the IT Program Director Glenn Hoffman for BSIT -- go to his website Recommended Reading George Polya, How to Solve It Jacques Hadamard, The Psychology of Invention in the Mathematical Field Paul Halmos, How to Write Mathematics William Strunk Jr., E. B. White, The Elements of Style Steven Pinker, The Sense of Style Teaching Everybody who is incapable of learning has taken to teaching. Oscar Wilde (1854 -- 1900) The Decay of Lying , p.3 I am teaching: CS 220/MATH 320 Applied Discrete Mathematics CS 240 Programming in C I had taught: CS 110 Introduction to Computing, Spring 2014 CS 220/MATH 320 Applied Discrete Mathematics, Fall 2016 CS 240 Programming in C, Fall 2018 CS 310 Advanced Data Structures and Algorithms, Spring 2015, 2016, 2017, 2018 CS 433 Big Data Analytics, Spring 2018 CS 444 Introduction to Operating Systems, Fall 2014 CS 624 Analysis of Algorithms, Fall 2017 CS 752 Parallel Programming, Fall 2013, 2015 Research Des chercheurs qui cherchent, on en trouve. Des chercheurs qui trouvent, on en cherche. Charles de Gaulle (1890 -- 1970) I am interested in fast computation. I work on parallelizing data analysis algorithms, statistical computation, and bioinformatics applications. Google Scholar Citations: http://scholar.google.com/citations?hl=en&user=Xa_5OCoAAAAJ Software ompTri, triangle counting with a multi-core computer: https://github.com/mingouyang/ompTri bandDepth, parallel computation of band depth: https://github.com/mingouyang/bandDepth ompBFS, breadth-first search with a multi-core computer: https://github.com/mingouyang/ompBFS sort16, CUDA implementation of Van Voorhis's optimal sorting network for 16 numbers: https://github.com/mingouyang/sorting-16-numbers Conference Papers Ouyang M, Xu H, Zhurkevich A. Parallel computation of band depth. Proceedings of the 21st IEEE International Conference on Computational Science and Engineering, 2018, 85-90. Donato E, Ouyang M, Peguero-Isalguez C. Triangle counting with a multi-core computer. Proceedings of IEEE High Performance Extreme Computing Conference (HPEC), 2018, 1-7. Belova M, Ouyang M. Breadth-first search with a multi-core computer. Proceedings of IEEE Parallel and Distributed Processing Symposium Workshops (IPDPSW), 2017. Ouyang M. KNN in the Jaccard Space. Proceedings of IEEE High Performance Extreme Computing Conference (HPEC), 2016, 1-6. Kwon A, Ouyang M. Clustering of functional data by band depth. Proceedings the Bioinformatics Workshop of the Ninth EAI International Conference on Bio-inspired Information and Communications Technologies (BICT Bioinformatics), 2015. Kwon A, Ren D, Ouyang M, Garbett N. Robust functional profile identification for DSC thermograms. Proceedings the Bioinformatics Workshop of the Ninth EAI International Conference on Bio-inspired Information and Communications Technologies (BICT Bioinformatics), 2015. Ouyang M. Sorting sixteen numbers. Proceedings of IEEE High Performance Extreme Computing Conference (HPEC), 2015, 1-6. Maruseac M, Ghinita G , Ouyang M, Rughinis R. Hardware acceleration of private information retrieval protocols using GPUs. Proceedings of the 26th IEEE International Conference on Application-specific Systems, Architectures and Processors (ASAP), 2015, 120-127. Maruseac M, Ghinita G , Ouyang M, Rughinis R. Towards efficient private spatial information retrieval using GPUs. Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2014, 405-408. Ali H, Ouyang M, Sheta W, Soliman A. Parallelizing the Berlekamp-Massey Algorithm. Proceedings of the Second International Conference on Computing, Measurement, Control and Sensor Network (CMCSN), 2014. Kim S , Ouyang M, Zhang X . Compute Spearman Correlation Coefficient with Matlab/CUDA. Proceedings of the 12th IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 2012, 55-60. Kim S , Ouyang M. Compute Distance Matrices with GPU. Proceedings of the Third Annual International Conference on Advances in Distributed and Parallel Computing (ADPC), 2012, 66-71. Mattingly WA, Chang D , Paris R. Smith N, Blevins H, Ouyang M. Robot design using Unity for computer games and robotic simulations. Proceedings of CGAMES USA, 2012, 56-59. Chang D , Kimmer C, Ouyang M. Accelerating the Nussinov RNA Folding Algorithm with CUDA/GPU. Proceedings of IEEE International Symposium on Signal Processing and Information Technology (ISSPIT), 2010, 120-125. Cheng A, Ouyang M. A simulation study on identifying aircraft touchdown point by using in-flight recorded data. Proceedings of the AIAA Guidance, Navigation, and Control Conference, 2010. Chang D , Ouyang M. Using CUDA in XNA games development. Proceedings of CGAMES USA, 2009, 96-99. Chang D , Kantardzic M , Ouyang M. Hierarchical clustering with CUDA/GPU. Proceedings of the ISCA 22nd International Conference on Parallel and Distributed Computing and Communication Systems (PDCCS), 2009, 7-12. Luken BP, Ouyang M, Desoky AH . AES and DES encryption with GPU. Proceedings of the ISCA 22nd International Conference on Parallel and Distributed Computing and Communication Systems (PDCCS), 2009, 67-70. Chang D , Desoky AH , Ouyang M, Rouchka EC . Compute pairwise Manhattan distance and Pearson correlation coefficient of data points with GPU. Proceedings of the 10th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD), 2009, 501-506. Chang D , Jones NA, Li D, Ouyang M, Ragade RK . Compute pairwise Euclidean distances of data points with GPUs. Proceedings of the IASTED International Symposium on Computational Biology and Bioinformatics (CBB) 2008, 278-283. Zhang P, Ouyang M, Welsh WJ. Modeling gene regulatory networks. Abstracts of papers of the American Chemical Society, 2005, 230:U1361-U1361. Pukazhenthi BS, Rockett JC, Ouyang M, Dix DJ, Howard J, Georgopoulos J, Welsh WJ, Wildt DE. Gene expression in the testes of normospermic versus teratospermic domestic cats using human cDNA microarray analyses. Biology of Reproduction, 2003, 191-192. Ouyang M, Case J , Burnside J . Divide and conquer machine learning for a genomics analogy problem, Lecture Notes in Artificial Intelligence , 2226:290-303, Springer-Verlag, 2001. Cheng A, Ouyang M. On algorithms for simplicial depth, Proceedings of the 13th Canadian Conference on Computational Geometry (CCCG), 2001, 53-56. Journal Papers Schifano J, Cruz J, Vvedenskaya IO, Edifor R, Ouyang M, Husson RN, Nichels B, Woychik NA. tRNA is a new target for cleavage by a MazF toxin. Nucleic Acids Research , 2016, 44(3):1256-1270. Ali H, Ouyang M, Soliman A, Sheta W. Parallelizing the Berlekamp-Massey Algorithm. International Journal of Computer Science and Information Security , 2015, 13(11):42-46. Kwon A, Ouyang M, Cheng A. Resampling based classification using depth for functional curves. Communications in Statistics - Simulation and Computation , DOI: 10.1080/03610918.2014.944652, 2014. Kim S, Ouyang M, Jeong J, Shen C, Zhang X. A new method of peak detection for analysis of comprehensive two-dimensional gas chromatography mass spectrometry data. Annals of Applied Statistics , 2014, 8(2):1209-1231. [ Abstract ] States JC, Ouyang M, Helm CW. Systems approach to identify environmental exposures contributing to organ-specific carcinogenesis. Cancer Epidemiology , 2014, 38(3):321-327. [ Abstract ] Schifano J, Vvedenskaya IO, Knoblauch JG, Ouyang M, Nickels B, Woychik NA. An RNA-seq uncovers dual 23S and 16S rRNA targets of mycobacterial toxin MazF-mt3. Nature Communications , 2014, 5:3538. [ Abstract ] Schifano JM, Edifor R, Sharp JD, Ouyang M, Konkimalla A, Husson RN, Woychik NA . Mycobacterial toxin MazF-mt6 inhibits translation through cleavage of 23S rRNA at the ribosomal A site. PNAS , 2013, 110(21):8501-8506. [ Full text ] Hsu CH, Lin CY, Ouyang M, Guo YK. Biocloud: cloud computing for biological, genomics, and drug design. BioMed Research International, 2013, article ID 909470. [ Full text ] Rothenbacher F, Suzuki M, Hurley J, Montville T, Kirn T, Ouyang M, Woychik NA . Clostridium difficile MazF toxin exhibits selective, not global, mRNA cleavage. Journal of Bacteriology , 2012 194(13):3464-74. [ Abstract ] States JC, Ouyang M, Helm CW. Systems approach to identifying potential environmental exposures playing a role in ovarian crcinogenesis. Cancer Research , 2011 71(8 Supplement): 1326. [ Abstract ] Hurley JM, Cruz JW, Ouyang M, Woychik NA . Bacterial toxin RelE mediates frequent codon-independent mRNA cleavage from the 5' end of coding regions in vivo . Journal of Biological Chemistry , 2011 286(17):14770-14778. [ Abstract ] Baik S, Inoue K, Ouyang M, Inouye M. Significant bias against the ACA triplet in the mRNA sequence of Escherichia coli K-12. Journal of Bacteriology, 2009 191(19):6157-6166. [ Abstract ] Delker DA , Geter DR, Roop BC, Ward WO, Ahlborn GJ, Allen JW, Nelson GM, Ouyang M, Welsh W , Chen Y, O'Brien T, Kitchin KT. Oncogene expression profiles in K6/0DC mouse skin and papillomas following a chronic exposure to monomethylarsonous acid. Journal of Biochemical and Molecular Toxicology, 2009 23(6):406-18. [ Abstract ] Zhu L, Inoue K, Yoshizumi S, Kobayashi H, Zhang Y, Ouyang M, Kato F, Sugai M, Inouye M . Staphylococcus aureus MazF specifically cleaves a pentad sequence, UACAU, which is unusually abundant in the mRNA for pathogenic adhesive factor SraP. Journal of Bacteriology 2009 191(10):3248-55. [ Abstract ] Waidner L, Morgan R , Anderson A, Bernberg E, Kamboj S, Garcia M, Riblet S, Ouyang M, Isaacs G, Markis M, Meyers B, Green P, Burnside J . MicroRNAs of Gallid and Meleagrid Herpesviruses show generally conserved genomic locations and are virus-specific. Virology 2009 388(1):128-36. [ Science Direct ] H Cheng, M Niikura, T Kim, W Mao, KS MacLea, H Hunt, J Dodgson, J Burnside, R Morgan, M Ouyang, S Lamont, J Dekkers, J Fulton, M Soller, W Muir. Using integrative genomics to elucidate genetic resistance to Marek's disease in chickens. Developmental Biology 2008, 132:365-372. Zhu L, Phadtare S, Nariya H, Ouyang M, Husson RN , Inouye M . The mRNA interferases, MazF-mt3 and MazF-mt7 from Mycobacterium tuberculosis target unique pentad sequences in single-stranded RNA. Molecular Microbiology 2008, 69(3):559-69. [ Abstract ] Burnside J , Ouyang M, Anderson A, Bernberg E, Lu C, Meyers BC , Green PJ , Markis M, Isaacs GK, Huang E, Morgan R . Deep Sequencing of Chicken microRNAs. BMC Genomics 2008, 9:185. [ Full article , highly accessed] Burd RS , Ouyang M, Madigan D . Bayesian logistic injury severity score: A method for predicting mortality using ICD-9 codes. Academic Emergency Medicine 2008, 15(5):466-475. [ Abstract ] Ouyang M, Garnett AT, Han TM, Lee A, Deng Y, Lee N, Liu HY, Amacher SL , Farber SA , Ho SY . A web based resource characterizing the zebrafish developmental profile of over 16,000 transcripts. Gene Expression Patterns 2008, 8:171-180. [ Science Direct ] Ahlborn GJ, Nelson GM, Ward WO, Knapp G, Allen JW, Ouyang M, Roop BC, Chen Y, O'Brien T, Kitchin KT, Delker DA. Dose response evaluation of gene expression profiles in the skin of K6/ODC mice exposed to sodium arsenite. Toxicology and Applied Pharmacology 2008, 227:400-416. [ Science Direct ] Liu A, Han R, Li J, Sun D, Ouyang M, Plummer M, Casaccia-Bonnefil P. The glial or neuronal fate choice of oligodendrocyte progenitors is modulated by their ability to acquire an epigenetic memory. Journal of Neuroscience 2007, 27(27):7339-43. [ Abstract ] Jrnsten R , Ouyang M, Wang HY. A meta-data based method for DNA microarray imputation. BMC Bioinformatics 2007, 8:109. [ Full text ] Jrnsten R , Wang HY, Welsh WJ , Ouyang M. DNA microarray data imputation and significance analysis of differential expression. Bioinformatics 2005, 21(22):4155-61. [ Abstract ] Duttagupta R, Tian B , Wilusz CJ, Khounh DT, Soteropoulos P, Ouyang M, Dougherty JP , Peltz SW . Global analysis of Pub1p targets reveals a coordinate control of gene expression through modulation of binding and stability. Molecular and Cellular Biology 2005, 25:5499-513. [ Abstract ] Glatt C, Ouyang M, Welsh WJ , Green J, OConnor J, Frame S, Everds N, Poindexter G, Snajdr S, Delker D. Molecular characterization of thyroid toxicity: anchoring gene expression profiles to biochemical and pathological endpoints. Environmental Health Perspectives 2005, 113(10):1354-61. [ Full article ] Ouyang M, Welsh WJ , Georgopoulos P . Gaussian mixture clustering and imputation of microarray data. Bioinformatics 2004, 20(6):917-23. [ Abstract ] Roy A, Georgopoulos PG , Ouyang M, Freeman N, Lioy PJ . Environmental, dietary, demographic, and activity variables associated with biomarkers of exposure for benzene and lead. Journal of Exposure Analysis and Environmental Epidemiology 2003, 13(6):417-26. [ Abstract ] Ouyang M, Case J , Tirunagaru V, Burnside J . Five hundred sixty-five triples of chicken, human, and mouse candidate orthologs. Journal of Molecular Evolution 2003, 57(3):271-81. [ Abstract ] Ouyang M. How good are branching rules in DPLL?, Discrete Applied Mathematics 1998, 89:281-286. diff --git a/src/data/compiled_bios/1151.txt b/src/data/compiled_bios/1151.txt new file mode 100644 index 0000000000..30b38bc226 --- /dev/null +++ b/src/data/compiled_bios/1151.txt @@ -0,0 +1 @@ +Search WWW Search www.umb.edu Visual Attention Laboratory Teaching: CS410 and CS620 Publications Curriculum Vitae Department of Computer Science at UMass Boston I am a Professor in the Department of Computer Science at the University of Massachusetts Boston and director of the Visual Attention Laboratory. My work focuses on analyzing, modeling, and simulating aspects of human vision. If you have any questions, comments or suggestions regarding anything you find on these pages, please don't hesitate to send me an e-mail . Department of Computer Science University of Massachusetts at Boston 100 Morrissey Boulevard Boston, MA 02125-3393 United States of America e-mail: marc@cs.umb.edu Office Hours: Tu 5:30-8:00pm, Th 3:30- 4:00pm Office: S-3-171 Office Phone: (617) 287-6443 Department Fax: (617) 287-6433 Visual Attention Lab: S-3-135 Lab Phone: (617) 287-6485 diff --git a/src/data/compiled_bios/1152.txt b/src/data/compiled_bios/1152.txt new file mode 100644 index 0000000000..4904608ebb --- /dev/null +++ b/src/data/compiled_bios/1152.txt @@ -0,0 +1 @@ +Bo Sheng Home Teaching Research Service About Me I am an associate professor in Computer Science Department at University of Massachusetts Boston . I received my Ph.D. from College of William and Mary in 2010 (under the supervision of Prof. Li ) and my B.S. from Nanjing University (China) in 2000, both in Computer Science. Before joining UMass Boston in 2010, I spent 9 months at Northeastern University as a postdoctoral research associate working with Prof. Noubir . My research interests include mobile computing, big data, cloud computing, cyber security, and wireless networks. Graduate research assistant positions are available for highly motivated applicants. News I've joined the TPC of ICCCN 2019. (10/01/2018) I've joined the TPC of WCNC 2019. (9/24/2018) Our submission to IPCCC 2018 has been accepted. (9/20/2018) Two submissions to ICNC 2019 have been accepted. (9/20/2018) Teaching Fall 2018 CS443 Mobile Applications CS449 Introduction to Computer Security Contact Department of Computer Science University of Massachusetts Boston 100 Morrissey Boulevard Boston, MA 02125 Office: Science Building, S-3-167 Office Hours: 2~4pm, Tue & Thur Phone: 617-287-6468 Email: Back to home page | Computer Science Department | Umass Boston diff --git a/src/data/compiled_bios/1153.txt b/src/data/compiled_bios/1153.txt new file mode 100644 index 0000000000..898169d56f --- /dev/null +++ b/src/data/compiled_bios/1153.txt @@ -0,0 +1 @@ +Dr. Dan A. Simovici Professor of Computer Science University of Massachusetts Boston Department of Computer Science Education Ph.D., July 1974, University of Bucharest, Romania M.S. in Mathematics, June 1970, University of Iasi, Romania M.S. in E.E., June 1965, Polytechnical Institute of Iasi, Romania Professional Affiliations Senior Member of IEEE Vice Chair of the Technical Committee for Multiple-Valued Logic of the Computer Society Association for Computing Machinery AAAI Academic Career 1985 - present: Professor of Computer Science, UMB 2010 - present: Honorary Professor of Computer Science, University of Iasi, Romania January 2006: Visiting Professor of Computer Science, University of Science and Technology, Lille, France 1998: Visiting Professor of Computer Science, Tohoku University, Sendai, Japan 1984 - present: Director of the Computer Science Graduate Program, UMB 1982 - 1985: Associate Professor of Computer Science, UMB 1981 - 1982: Associate Professor of Computer Science, University of Miami, Florida Research Interests Information-Theoretical and Linear Methods in Data Mining Semantic Models in Databases Algebraic Aspects of Multiple-Valued Logic Other Activities Vice-Chair the Program Committees for ISPA'07 for Databases and Data Mining Member of Program Committees for major datamining conferences: KDD, PKDD, DAWAK, EGC. General Chairman of the 32nd International Symposium for Multiple-Valued Logic, Boston, Massachusetts, 15-18 May 2002. Managing Editor of Journal for Multiple-Valued Logic and Soft Computing Editor of International Journal for Parallel, Emergent, and Distributed Systems Editor of International Journal for Software and Information Technologies General Co-Chairman of the 26th International Symposium for Multiple-Valued Logic, Santiago de Compostela, Spain, May 1996. General Chairman of the 24th International Symposium for Multiple-Valued Logic, Boston, Massachusetts, May 1994. Chairman of the Technical Committee of the Computer Society/IEEE (elected at the 19th annual meeting, May 1988, Spain). General Chairman of the 17th International Symposium for Multiple-Valued Logic, Boston, Massachusetts. Reviewer for the Computer Science Accreditation Board of IEEE/ACM. Ph.D. Students Dana Cristofor (graduated 2002) Laurentiu Cristofor (graduated 2002) Szymon Jaroszewicz (graduated 2003) Richard Butterworth (graduated 2006) Selim Mimaroglu (graduated 2008) Saaid Baraty (graduated 2013) Dan Pletea (graduated 2013) Rosanne Vertro (graduated 2015) Books Mathematical Analysis for Machine Learning and Data Mining , World Scientific, 2018 Linear Algebra Tools for Data Mining , World Scientific, 2012 Mathematical Tools for Data Mining , Springer-Verlag 2008 by Dan A. Simovici and C. Djeraba (second edition 2015) Theory of Formal Languages with Applications by Dan Simovici and Richard Tenney, World Scientific, 1999 Relational Database Systems by Dan Simovici and Richard Tenney, Academic Press, 1995 Mathematical Foundations of Computer Science. vol. I: Sets, Relations, Induction in Computer Science (with Peter Fejer), Springer Verlag, New York, 1990 Logical Foundations of Computer Science (with Peter Fejer), in preparation for Springer-Verlag, New York Introduction aux Structures Algbriques, (2 vols.), ERPI, Montreal, Canada, 1992 Formal Languages and Compiling Techniques, Editura Didactica si Pedagogica, Bucharest, Romania, 1978 Recent Publications Ultrametricity of Dissimilarity Spaces and Its Significance for Data Mining (with R. Vetro and K. Hua), EGC 2015, Luxembourg, Revue des Nouvelles Technologies de l'Information, RNTI E. 28, 89-100 (pdf file) Several Remarks on Dissimilarities and Ultrametrics, Scientific Annals of Computer Science, "Al. I. Cuza" University of Iasi, Romania, vol. XXV, 1, 2015, pp. 155-170 (pdf file) Representative Training Sets for Classification and the Variablity of Empirical Distributions (with Saaid Baraty), Extraction et Gestion des Connaisances, February 2014, EGC'2014, Revue des Nouvelles Technologies, E. 26, pp. 299-304 (pdf file) Evaluating Data minability Through Compression -- An Experimental Study (with Saaid Baraty and Dan Pletea), International Journal on Advances in Software, vol. 6, no.3-4, 2013, pp 237--245 (pdf file) On Submodular and Supermodular Functions on Lattices and Related Stuctures, to appear in the Proceedings of the 44th International Symposium for Multiple-Valued Logic, Bremen, Germany, May 17-19, 2014 (pdf file) Data Mining of Medical Data: Opportunities and Challeges in Mining Association Rules, IALS, Cecilienhof, Potsdam, August 2012 (pdf file) Evaluating Data Minability through Compression - An Experimental Study (with D. Pletea and S. Baraty) - Proceedings of Data Analytics 2012, Barcelona, Spain, September 2012, pp. 97-102 (pdf file) Polarities, Axiallities, and Marketability, DaWaK 2012, Vienna, September 2012 (with P. Fomenky and W. Kurz), LNCS 7448, Springer-Verlag, pp.243-252 (pdf file) Information-Theoretical Mining of Determining Sets for Partially Defined Functions, to appear at the Journal for Multiple-Valued Logic and Soft Computing (with Dan Pletea and Rosanne Vetro) (pdf file) Evaluating Bayesian Networks by Sampling with Simplified Assumptions EGC 2012, Bordeaux, Revue des Nouvelles Technologies de l'Information, RNTI, E.23, pp. 11-16 (with Saaid Baraty) Several Remarks on the Metric Space of Genetic Codes, International Journal of Data Mining and Bioinformatics, vol. 6, 2012, pp. 17-26 (with D. Weisman) (pdf file) Entropic-Genetic Clustering, Revue des Nouvelles Technologies d'Information, Extraction et Gestion des Connaissances, 2011, Brest, France, pp. 71--76 (with M. Breaban and H. Luchian) (pdf file) Approximative distance computation by random hashing (with S. Mimaroglu and M. Yagci), Journal of Supercomputing, appeared in "On line first" (to appear in print this Fall, (pdf file) Entropy quad-trees for high complexity region detection (with R. Vetro and W. Ding), IJSSCI, vol. 3, pp. 16-33, 2011. The Impact of Triangular Inequality Violations on Medoid-Based Clustering, Proceedings of ISMIS 2011, (with S. Baraty and C. Zara) Warsaw, Poland, June 2011, Lecture Notes in Artificial Intelligence, LNAI 6804, pp. 280--289, (pdf file) Entropies on Bounded Lattices, Proceedings of the 41st International Symposium for Multiple-Valued Logic, Tuusula, Finland, May 2011, pp. 307--312 (pdf file) Singular value decomposition is a valid predictor of stroke importance in reading Chinese, (with Wang, H.C., Angele, B., Schotter, E., Yang, J., Pomplun, M. and Rayner, K.) Poster at the 16th European Conference on Eye Movements (ECEM2011), Marseille, France. August, 2011. Bernoulli Trials Based Feature Selection for Crater Detections, (with Liu, W. Ding, J. P. Cohen, T. Stepinski) the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, Chicago, IL, November, 2011 Mining Determining Sets for Partially Defined Functions (with D. Pletea and R. Vetro), Advances in Data Mining, Lecture Notes in Artificial Intelligence LNAI 5633, Springer-Verlag (pdf file) Scalable pattern mining with Bayesian networks, Data Mining and Knowledge Discovery, (Springer-Verlag), vol. 18, 2009, pp.56-100 (with S. Jaroszewicz and T. Scheffer) (pdf file) Mining Approximative Descriptions of Sets Using Rough Sets (with Selim Mimaroglu), Proceedings of the 39th International Symposium for Multiple-Valued Logic, Okinawa, Japan, May 2009 (pdf file) Binary Sequences and Association Graphs for Fast Detection of Sequential Patterns (with S. Mimaroglu), EGC 2009, Strassbourg, January 2009 (pdf file) Edge Evaluation in Bayesian Network Structures (with Saaid Baraty), Proceedings of the 8th Australian Data Mining Conference (AusDM 2009), Australian Computer Society and ACM, pp. 193-201 (pdf file) Structural Classification of XML Documents Using Multisets (with S. Iyer), International Journal on Artificial Intelligence Tools, vol. 17, no.5, pp.1003-1022 (pdf file) Approximate Computation of Object Distances by Locally-Sensitive Hashing (with S. Mimaroglu), to appear in Proceedings of DBMIN'08, Las Vegas, August 2008 (pdf file) Metric-Entropy Pairs on Lattices, Journal of Universal Computer Science (Springer-Verlag), vol. 13, no.11, 2007,pp. 1767-1778 (pdf file) Betweenness, Metrics and Entropies in Lattices, Proceedings of ISMVL 2008, Dallas, TX, May 2008; the posted version is a pre-print that will appear in the Journal for Multiple-Valued Logic and Soft Computing (pdf file) Detecting Eye Fixations by Projection Clustering (with T. Urruty, S. Lew, N. Ihadaddene) ACM Transactions on Multimedia Computing, Communications and Applications, vol. 3, no.4, December 2007, (pdf file) Metric Methods in Data Mining, a chapter in Data Mining Patterns - New Methods and Applications, P. Poncelet. M. Teisseire, F. Masseglia (eds.), Information Science Reference, Hershey, 2007, pp. 1-31. Structure Inference of Bayesian Networks from Data: A New Approach Based on Generalized Conditional Entropy (with Saaid Baraty), Proceedings of ECG 2008, Sophia Antipolis, France, Revue des Nouvelles Technologies et de l'Information, RNTI-E-11, 2008, pp. 337-342 (pdf file) Multisets and Clustering XML Documents (with Swami Iyer) Proceedings of ICTAI, October 2007, Patras, Greece, IEEE CS Press, pp.267-274 (pdf file) Clustering and Approximate Identification of Frequent Item Sets (with S. Mimaroglu) Proceedings of FLAIRS 2007, Key West, May 2007, pp. 502-506 (pdf file) Clustering by Random Projections (with T. Urruty and C. Djeraba), ICDM 2007, Leipzig (pdf file), Lecture Notes in Artificial Intelligence, no. 4597, pp. 107-119 On the Axiomatization of Generalized Entropic Distances, accepted at ISMVL 2007, Oslo, May 2007 (pdf file) An extended version in the Journal of Multivalued Logic and Soft Computing, v. 13, f.4-6,pp.295-320 is (pdf file) Model detection for User Behavior in Video Sessions (with Sylvain Mongy and Chabane Djeraba), DMIN, June 2007, Las Vegas (pdf file), Proceedings of DMIN 2007, CSREA Press, pp. 99-103 A New Metric Splitting Criterion for Decision Trees(with Szymon Jaroszewicz) (pdf file) Journal of Parallel, Emerging and Distributed Computing, vol.21, no.4, pp. 239-256, 2006. On Feature Extraction through Clustering (with Richard Butterworth and Gregory Piatetsky-Shapiro) (pdf file) Proceedings of ICDM 2005, pp. 581--584 Houston, Texas, November 2005. Biclustering of Gene Expression Data Based on Local Nearness (with J. Aguilar-Ruiz and Domingo Savio Rodriguez) (pdf file) Proceedings of EGC 2006, Lille, France, January 2006, pp. 681--692. On the Ranges of Algebraic Functions in Lattices (with S. Rudeanu) (pdf file) Studia Logica, vol. 84, no.3, pp. 451--483, December 2006. Semi-Supervised Incremental Clustering of Categorical Data (with N. Singla), Proceedings of EGC 2005, Paris, France, pp. 189-200. An Abstract Axiomatization of the Notion of Entropy (with Ivo Rosenberg), Proceedings of ISMVL, May 2005, Calgary, Canada (pdf file) . Metric Incremental Clustering of Nominal Data (with N. Singla and M. Kuperberg), Proceedings of ICDM 2004, Brigton, UK, pp. 523-527 (pdf file) Interestingness of Frequent Itemsets Using Bayesian Networks as Background Knowledge (with S. Jaroszewicz), Proceedings of KDD 2004, Seattle, pp. 178--186. (pdf file) A Greedy Algorithm for Supervised Discretization (with R. Butterworth, D. S. Santos and Lucila Ohno-Machado), Journal of Biomedical Informatics, vol. 37(4), pp. 285--292. (pdf file) Measures on Boolean polynomials and their applications in data mining (with S. Jaroszewicz and I. G. Rosenberg), Applied Discrete Mathematics, volume on Discrete Mathematics and Data Mining, vol. 144,1, pp. 123--139 (pdf file) A Metric Approach to Building Decision Trees Based on Goodman-Kruskal Association Index (with S. Jaroszewicz), PAKDD 2004, Sydney, Australia, May 2004, LNAI 3056, Springer-Verlag, pp. 181--190 (pdf file) A Graph-Theoretical Approach to Boolean Interpolation of Non-Boolean Functions (with S. Rudeanu), Proceedings of the 34th International Symposium for Multiple-Valued Logic, Toronto, May 2004, published by IEEE Computer Society, pp. 245--250 (pdf file) Evolutionary Strategy for Learning Multiple-Valued Logic Functions (with A. Ngom and I. Stojmenovic), Proceedings of the 34th International Symposium for Multiple-Valued Logic, Toronto, May 2004, published by IEEE Computer Society, pp. 154--160 A Metric Approach to Supervised Discretization (with R. Butterworth), EGC 2004, Clermont-Ferrand, France, January 2004, Revue des Nouvelles Technologies de l'Information, RNTI-E-2, vol. 1, pp. 197--203 The Goodman-Kruskal Coefficient and Its Applications in the Genetic Diagnosis of Cancer (with S. Jaroszewicz, W. Kuo and L. Ohno-Machado), IEEE Transactions on Biomedical Engineering, vol. 51, no. 7, pp. 1095--1102, July 2004. (pdf file) Generating an Informative Cover for Association Rules (with L. Cristofor), Proceedings of the 2002 IEEE International Conference on Data Mining, pp. 597-600 (pdf file) Approximation of Non-Boolean Functions by Boolean Functions and Applications in Non-standard Computing, in Proceedings of the 2002 International Symposium on New Paradigm Computing, December 2002, Sendai, Japan, pp. 27--31 (invited talk) (pdf file) Several Remarks on Non-Boolean Functions over Boolean Algebras, Proc. of the International Symposium for Multiple-Valued Logic, Meiji University, Tokyo, May 2003, pp. 163--168 (pdf file) An Algebraic Approach to Entropy in Beyond Two: Theory and Applications of Multiple-Valued Logic, M. Fitting and E. Orlowska (editors), Springer-Verlag, Heidelberg, New York, 2003, pp. 101-115. Generalized Entropy and Decision Trees, EGC 2003 - Journees francophones d'Extraction et de Gestion de Connaissances, January 2003, Lyon, France (with S. Jaroszewicz), pp. 369-380 (ps file) (pdf file) Support Approximations using Bonferroni-Type Inequalities (with S. Jaroszewicz), Principles of Data Mining and Knowledge Discovery, PKDD 2002, Helsinki, August 2002, Lecture Notes in Artificial Intelligence, vol. 2431, pp. 212--224, Springer Verlag, Berlin, 2002. (ps file) (pdf file) Generating Informative Cover Rules (with Laurentiu Cristofor), International Conference on Data Mining, Maebashi, Japan, December 2002. (ps file) (pdf file) Finding Median Partitions Using Information-Theoretical Algorithms (with D. Cristofor), Journal of Universal Computer Science, vol 8, no.2, 153--172. (ps file) (pdf file) An Inclusion-Exclusion Result for Boolean Polynomials and Its Applications in Data Mining (with S. Jaroszewicz and I. Rosenberg), Proceedings of the Discrete Mathematics and Data Mining Workshop, Washington, April, 2002 (SIAM DM Meeting), pp. 165-173. (ps file) (pdf file) An Information-Theoretical Approach to Clustering Categorical Databases Using Genetic Algorithms (with Dana Cristofor), Proceedings of the Workshop on Clustering High-Dimensional Data and Its Applications, Washington, April, 2002 (SIAM DM Meeting), pp. 37-46. (ps file) (pdf file) On Functions Defined on Free Boolean Algebras (with I. Rosenberg and S. Jaroszewicz), Proceedings of the ISMVL 2002, Boston, Massachusetts, IEEE Computer Society, Los Alamitos, California, pp. 192--201. (ps file) (pdf file) Mining for Purity Dependencies in Relational Databases (with L. Cristofor and D. Cristofor), EGC 2000, Montpellier, January 19-23 (ps file) (pdf file) (best paper award received from AFIA (The French Association for Artificial Intelligence). An Axiomatization of Partition Entropy (with S. Jaroszewicz) Transactions on Information Theory, July 2002, vol. 48 (7), pp. 2138--2142 (a preliminary form appeared in the Proceedings of the 31st ISMVL,.Warsaw, Poland, May 2001, pp. 259-266). Impurity Measures in Databases (with L. Cristofor and D. Cristofor), Acta Informatica, 38 (2002), pp. 307-324. Prunning Redundant Association Rules Using Maximum Entropy Principle (with S. Jaroszewicz), Proceedings of PAKDD, Taipei, May 2002, Lecture Notes in Artificial Intelligence, vol. 2336, Springer Verlag, pp. 135--147. (ps file) (pdf file) A General Measure of Rule Interestingness (with S. Jaroszewicz) in Principles of Data Mining and Knowledge Discovery, the 5th European Conference, PKDD 2001, Freiburg, September 2001, Lecture Notes in Artificial Intelligence, vol. 2168, Springer-Verlag, pp. 253-266. Mining Association Rules in Entity-Relationship Modeled Databases (with Laurentiu Cristofor), Technical Report, UMB, TR 2001-1 (pdf file) An Information-Theoretical Approach to Genetic Algorithms for Clustering (with Dana Cristofor), Technical Report, UMB, TR 2001-2 Generalized Entropy and Projection Clustering of Categorial Data (with D. Cristofor, L. Cristofor) in Principles of Data Mining and Knowledge Discovery, the 4th European Conference, PKDD 2000, Lyon, Lecture Notes in Artificial Intelligence, 1910, Springer-Verlag, pp. 619--625 Impurity Measures and Applications to Classification and Clustering, (with Dana and Laurentiu Cristofor) presented at the Int. Conf. on Advances in Infrastructure for Electronic Bussiness, Science, and Education, Scuola Superiore G.R. Romoli (Telecom -- Italia), Aquila, Italy, August 2000 Data Mining of Weak Functional Decompositions (with S. Jarosiewicz) in the Proceedings of the 30th International Symposium for Multiple-Valued Logic, Portland, Oregon, pp. 77-82 On Information-Theoretical Aspects of Relational Databases (with S. Jarosewicz), in Finite vs. Infinite, Springer-Verlag, pp. 301--322 Galois Connections and Data Mining, (with L. Cristofor and D. Cristofor), Journal of Universal Computer Sciene, Springer Verlag, vol.6, no.1, pp. 60-74 Boolean Completeness in Two-valued Set Logic, (with I. Stojmenovic and R. Tosic) Multi. Val. Logic, 2000, vol. 5, pp. 267--280 On Axiomatization of Conditional Entropy of Functions between Finite Sets, (with S. Jarosiewicz) Proc.of the 29th ISMVL, Freiburg, Germany, pp. 24--31 Automatic Data Restructuring (with S. Ginsburg and Nan Shu) Journal of Universal Computer Sciene, vol. 5, no, 4, pp. 243-286 Learning with Permutably Homogeneous Perceptrons, (with A. Ngom, I. Stojenovic, C. Reischer) Proc.of the 28th ISMVL, Fukuoka, Japan, pp. 161--167 Functional Entropy and Decision Trees, (with V. Shmerko, V. Cheushev, S. Yanushkiewicz) Proc.of the 28th ISMVL, Fukuoka, Japan, pp. 257--264 Completeness Criteria in Set-Valued Logic Under Composition with Union and Intersection, Proceedings of the 27th International Symposium for Multiple-Valued Logic, May 1997, pp. 75--82. A Characterization of the Information Content of a Classification (with K. Baclawski), Information Processing Letters, vol 57 (1996), pp. 211--214. Several Remarks on the Complexity of Set-Valued Switching Functions, (with C. Reisher) Proceedings of the 26th International Symposium for Multiple-Valued Logic, Santiago de Compostela, Spain, 1996 A Categorial Approach to Database Semantics, (with K. Baclawski and W. White) Math. Struct. in Computer Science (1994), v. 4, pp. 147-183 Recent Talks Data Mining of Medical Data: Opportunities and Challanges (Potsdam, August, 2012) (pdf file) The Vapnik-Chervonenkis Dimension and Learnability (full version), Siemens Doctoral Summer School at the University of Iasi, Romania, June, 2012 (pdf file) Linear Methods in Data Mining, Siemens Doctoral Summer School at the University of Iasi, Romania, June 20, 2009 (pdf file) Hereditary Families of Sets in Data Mining, University of Bucharest, Romania, June 25, 2009 (pdf file) Metric Methods in Data Mining, IDA 2006, Iasi, Romania, June 16, 2006, (pdf file) Metric Methods in Mining, Dana Farber Cancer Institute, Boston, February 27, 2004, (pdf file) Wavelets and Applications (MIT, April 27, 2004) (pdf file) Research Directions in Data Mining (in Romanian, October 2004, Universities of Bucharest and Iasi, Romania) (pdf file) Metrics on Partitions of Finite Sets and Data Mining Applications (UMB, May 11, 2005) (pdf file) An Abstract Axiomatization of the Notion of Entropy (Calgary, May 19, 2005) (pdf file) Efficient Computing Through Random Algorithms (Doctoral Summer School, June 2013, Iasi, Romania) (pdf file) Multivalued and Binary Ultrametrics and Clusterings (Doctoral Summer School, June 2014, Iasi, Romania) (pdf file) CS724 - TOPICS IN ALGORITHMS - SLIDES and HANDOUTS CS724 Syllabus - SPRING 2019 724 SLIDES Set-Theoretical Preliminaries (pdf file) Dissimilarities, Metrics, and Ultrametrics (pdf file) Data Sample Characteristics (pdf file) Basic Objects and Types in R (pdf file) 724 HOMEWORKS Homework 1 (pdf file) His 4-Legged Friends: If you want a friend ... buy a dog (Harry Truman) Franz (RIP) and Max (RIP) diff --git a/src/data/compiled_bios/1154.txt b/src/data/compiled_bios/1154.txt new file mode 100644 index 0000000000..c2c40ee1c4 --- /dev/null +++ b/src/data/compiled_bios/1154.txt @@ -0,0 +1 @@ +Junichi Suzuki , PhD Associate Professor of Computer Science, College of Science and Mathematics Contact Phone: 617.287.6462 Email: jxs@cs.umb.edu Office Location: Science Center, 3rd Floor, Room 168 Areas of Expertise Software Engineering, Networks Degrees PhD, Computer Science, Keio University, 2001 diff --git a/src/data/compiled_bios/1155.txt b/src/data/compiled_bios/1155.txt new file mode 100644 index 0000000000..a1ec0e0770 --- /dev/null +++ b/src/data/compiled_bios/1155.txt @@ -0,0 +1 @@ +Duc A. Tran Home Research Teaching Contact Fall 2018 Office Hours Tue/Thu 12:45PM-3:15PM Best way to reach me is email. Dr. Duc (David) A. Tran is a tenured Associate Professor in the Department of Computer Science at the University of Massachusetts at Boston , where he is Director of the Network Computing Laboratory and a Member of the University's Faculty Council . His main research area is network computing, using machine learning and decentralized techniques to optimize social, sensing, storage, and search applications. His research on peer-to-peer and decentralized networks is widely cited. He has received research funding awards from the National Science Foundation , Best Theory Paper Award at IEEE MASS 2014 , Best Paper Award at ICCCN 2008 , and Best Paper Recognition at DaWak 1999 . Dr. Tran has served as a frequent Review Panelist for the National Science Foundation (2008-2011, 2014, 2015, 2018), Editor for Elsevier Ad Hoc Networks Journal (2015-date), Editor for Springer Journal on Computational Social Networks (2013-date), Editor for Taylor Francis Journal on Parallel, Emergent, and Distributed Systems (2010-date), Guest-Editor for the Journal on Pervasive Computing and Communications (2009), TPC Symposium Co-Chair for ICNC 2017 , TPC Track Chair for VTC Fall 2015 , TPC Chair for WiMAN ( 2014 , 2017 ), CCNet ( 2010 , 2011 ), GridPeer ( 2009 , 2010 , 2011 ), and IRSN 2009 , TPC Vice-Chair for AINA 2007 , and Member of Organizing Committee for ACM Multimedia 2014 and IEEE DCOSS 2016 . He was on the TPC for 80+ international conferences, and referee and session chair for numerous journals/conferences. He was a keynote speaker at WiMAN 2013 . Dr. Tran is a Senior Member of both the Association for Computing Machinery (ACM) and the Institute of Electrical and Electronics Engineers (IEEE). He obtained a PhD degree in Computer Science from the University of Central Florida (Orlando, Florida) in 2003, where he was honored with the Order of Pegasus, the most prestigious student award at the university. He was also a recipient of the IEEE Outstanding Graduate Student Award (2002). LinkedIn: linkedin.com/in/ductran 2012 Duc A. Tran Contact Me diff --git a/src/data/compiled_bios/1156.txt b/src/data/compiled_bios/1156.txt new file mode 100644 index 0000000000..904c7a7b61 --- /dev/null +++ b/src/data/compiled_bios/1156.txt @@ -0,0 +1 @@ +Craig Yu HOME GROUP RESEARCH SERVICES TEACHING HONORS DEMOS ABOUT Lap-Fai (Craig) Yu Assistant Professor , Department of Computer Science Director, Design Computing and Extended Reality Group Volgenau School of Engineering George Mason University Email: craigyu [At] gmu [Dot] edu Office: Room 5305, Engineering Building Lab: Room 5325, Engineering Building Short Bio I lead the Design Computing and Extended Reality (DCXR) Group at George Mason University . Before joining GMU, I was an Assistant Professor at UMass Boston where I founded and directed the Graphics and Virtual Environments Lab. I received my Ph.D. degree in Computer Science from UCLA , where I was advised by Demetri Terzopoulos . I received my B.Eng and M.Phil. degrees in Computer Science from the HKUST . I was a visiting scientist at the International Design Center at MIT and a visiting scholar at the Computer Graphics Lab at Stanford . I also worked at the Internet Graphics Group at Microsoft Research Asia . My lab receives generous support from the National Science Foundation , Microsoft, Google, Nvidia, Oracle, and Wayfair. I am the lead inventor of Make-it-Home ( SIGGRAPH 2011 ), a pioneering system for automating interior design and virtual world generation. Research Interests: Artificial Intelligence/Data-Driven Techniques for Computational Design, Graphics, Vision, Human-Computer Interaction, Virtual Reality *Please check this out if you are interested in joining our team. What's New? Our paper "Pose-Guided Level Design" has been conditionally accepted by ACM CHI 2019 . Our paper "Lost in Style: Gaze-driven Adaptive Aid for VR Navigation" has been conditionally accepted by ACM CHI 2019 . Our paper "Audible Panorama: Automatic Spatial Audio Generation for Panorama Imagery" has been conditionally accepted by ACM CHI 2019 . Our paper "3D Face Synthesis Driven by Personality Impression" has been conditionally accepted by AAAI 2019 . Our paper "Functional Workspace Optimization via Learning Personal Preferences from Virtual Experiences." has been conditionally accepted by TVCG (IEEE Virtual Reality 2019) . Our paper "Urban Zoning Using Higher-Order Markov Random Fields on Multi-View Imagery Data" has been conditionally accepted by ECCV 2018 . Our paper "Exercise Intensity-driven Level Design" has been conditionally accepted by TVCG (IEEE Virtual Reality 2018) . our paper is featured on the headline of IEEE Xplore Innovation Spotlight . Congratulations to the team! Our paper "Deep Trail Following Robotic Guidedog in Pedestrian Environments for People who are Blind and Visually Impaired - Learning from Virtual and Real Worlds" has been conditionally accepted by ICRA 2018 . Our paper "Approximate Dissections" has been conditionally accepted by ACM SIGGRAPH Asia 2017 . Our paper "Transferring Objects: Joint Inference of Container and Human Pose" has been conditionally accepted by ICCV 2017 . Our paper "Earthquake Safety Training through Virtual Drills" has been conditionally accepted by TVCG (IEEE Virtual Reality 2017) . Our paper "Interchangeable Components for Hands-On Assembly Based Modeling" has been conditionally accepted by ACM SIGGRAPH Asia 2016 . Our paper "Crowd-driven Mid-scale Layout Design" has been conditionally accepted by ACM SIGGRAPH 2016 . Our paper "SceneNN: a Scene Meshes Dataset with aNNotations" has been conditionally accepted as an Oral Paper by 3DV 2016 . we will provide 100+ real-world scene meshes with annotations; stay tuned on our project website . our paper received the Best Paper Honorable Mention Award . Congratulations to the team! Our paper "Fill and Transfer: A Simple Physics-based Approach for Containability Reasoning" has been conditionally accepted by ICCV 2015 . Our paper "Zoomorphic Design" has been conditionally accepted by ACM SIGGRAPH 2015 . Recent Activities and Lab News Our lab has 3 papers conditionally accepted by CHI 2019! Kudos to all students (Haikun, Rawan, Elisa, Michael, Yongqi, Biao) in our lab for their achievements. Special thanks to our collaborators for their excellent support and efforts to make this happen too. I will serve on the Program Committee of EUROGRAPHICS 2019. I will serve on the Program Committee of IEEE Virtual Reality 2019. I will co-organize a tutorial on "Creating and Understanding 3D Annotated Scene Meshes" at IROS 2018 Call for Participation : SHREC 2018 RGB-D Object-to-CAD Retrieval Contest . The 2nd contest based on SceneNN. I will co-chair the 4th CVPR Workshop on Vision Meets Cognition: Functionality, Physics, Intentionality and Causality (FPIC) at CVPR 2018. Congratulations to Kristen Laird for winning the Oracle Undergraduate Research Fellowship! I will co-organize a tutorial on "Creating Annotated Scene Meshes for Training and Testing Robot Systems" at ICRA 2018 We will present a VR game demo, IVENTURE , at the Boston Festival of Indie Games . Congratulations to the team for being selected as a finalist in the competition! I will co-teach a course on "Modeling and Remodeling 3D Worlds" at SIGGRAPH Asia 2017 I will serve on the Program Committee of EUROGRAPHICS 2018. I will serve on the Program Committee of IEEE Virtual Reality 2018. I will give an invited talk at the Boston Virtual Reality Meetup on July 17 (Mon), 2017 at 6pm at the Cambridge Innovation Center. I receive an NSF CRII:CHS grant on Perceptual Data-Guided Computational Design. Congratulations to Yongqi Zhang and Biao Xie for winning the Oracle Undergraduate Research Fellowship! Congratulations to Yongqi Zhang for winning the Beacon Student Success Fellowship! Congratulations to Carla Aravena for winning the Tanimoto prize and the Louis H. Bronner Scholarship! Congratulations to Carla Aravena for receiving an Honorable Mention at the NSF Graduate Research Fellowship Program! I will give an invited talk at the New England Symposium on Graphics on April 23, 2017 at MIT. Call for Participation : SHREC 2017 RGB-D Object-to-CAD Retrieval Contest (registration deadline: Feb 1, 2017). The 1st contest based on SceneNN. I will co-chair the 3rd CVPR Workshop on Vision Meets Cognition: Functionality, Physics, Intentionality and Causality (FPIC) at CVPR 2017. Congratulations to Carla Aravena and Mark Vo for being selected as McNair Fellows. I will co-chair the 1st Workshop on Virtual Reality meets Physical Reality at SIGGRAPH ASIA 2016. I will co-chair the 2nd Workshop on Physical and Social Scene Understanding at CogSci 2016. I will serve on the Program Commitee of Pacific Graphics, 2016. Congratulations to Chris Quigley, Carla Aravena and Mark Vo for being selected as Oracle Undergraduate Research Fellows! We will give an oral presentation for our paper "Fill and Transfer: A Simple Physics-based Approach for Containability Reasoning" at the 1st Workshop on Object Understanding for Interaction at ICCV 2015 . I will serve on the Program Committee of the ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games (i3D), 2016 I will co-chair the 1st Workshop on Physical and Social Scene Understanding at CogSci 2015. Congratulations to Lorenzo Barrett for being selected as a McNair Fellow! I will co-chair the 2nd CVPR Workshop on Vision Meets Cognition: Functionality, Physics, Intentionality and Causality (FPIC) at CVPR 2015. Congratulations to Darian Springer for being selected as a McNair Fellow! Congratulations to Vincent Luczkow for winning the Oracle Undergraduate Research Fellowship! I am joining UMass Boston as an assistant professor in Fall 2014. I won the Cisco Outstanding Graduate Research Award! I co-chaired the 1st CVPR Workshop on Vision Meets Cognition: Functionality, Physics, Intentionality and Causality (FPIC) at CVPR 2014, together with Yibiao Zhao (UCLA), Bo Zheng (U. Tokyo), Peter Battaglia (MIT) and Tao Gao (MIT). There were interesting talks and presenations about the FPIC-related topics. Check out later for videos of the workshop! diff --git a/src/data/compiled_bios/1157.txt b/src/data/compiled_bios/1157.txt new file mode 100644 index 0000000000..6ef94613dd --- /dev/null +++ b/src/data/compiled_bios/1157.txt @@ -0,0 +1 @@ +Ethan D Bolker Ethan D Bolker Ethan D. Bolker Departments of Mathematics & Computer Science Interests Combinatorics, geometry Math with kids K-infinity Some Links CV Math Department Home Page CS Department Home Page UMass Boston Home Page Common Sense Mathematics - a quantitative reasoning text It's Elementary - draft of a book about time spent at the J. P. Manning elementary school. Java Outside In Elementary Number Theory: an Algebraic Approach Using Algebra Slicing cubes Building a stellated dodecahedron MA480 - Computing tools for mathematics Software engineering projects CS110 - Introduction to Programming CS320 - Discrete Mathematics CS410 - Undergraduate Software Engineering CS410 - Undergraduate Software Engineering - Spring 2011 CS410 - Undergraduate Software Engineering - Spring 2009 CS410 - Undergraduate Software Engineering - Spring 2008 CS410 - Undergraduate Software Engineering - Spring 2007 CS410 - Undergraduate Software Engineering - Spring 2006 MA 114Q - Quantitative Reasoning MA 260 - Linear Algebra MA 370 - History of Mathematics MA 458 - Number Theory MA560 - Abstract Algebra for Secondary School Teachers CS615 - User Interface Design CS615 - User Interface Design (Fall 2005) CS680 - Object Oriented Design, Spring 2005 CS680 - Object Oriented Design, Spring 2003 CS682 - Software Engineering 2009-2010 CS682 - Software Engineering 2007-2008 CS681 - Software Engineering 2004-2005 CS681 - Software Engineering 2003-2004 CS681 - Software Engineering 2002-2003 Rubik's Stellated Dodecahedron Platonic polyhedra A load balancing puzzle Scheduling for Performance : queueing theory models for fair share scheduling, goal mode scheduling, NT cpu utilization measurements, Intel's hyper-threading technology, virtualization Research at the intersection of combinatorics and old-fashioned geometry A simple-minded model for protein folding . Symmetries of the square . Looking for a particular piece of the Mandelbrot set The Spinor Spanner Groups Whose Elements are of Order Two or Three Dick Jeffrey & The Logic of Decision Modeling juror decay in a high profile criminal trial The William Lowell Putnam Mathematics Competition The Writer's Home Companion Writing Your Dissertation in Fifteen Minutes a Day Jessica Bolker's home page http://www.biolsci.unh.edu/faculty/bolker Ben Bolker's home page Irish Water Spaniels Adam Leffert's home page - click here for MindModel Base conversion : An Excel spreadsheet with which you can experiment to see what numbers look like when expressed in different bases. (I have set up this spreadsheet so that you can only enter numbers, not change the formulas that do the work. But if your version of Excel doesn't match mine you might have to go to tools->unprotect to make this spreadsheet work.) Flip coins : An Excel spreadsheet that simulates flipping ten coins at a time, collecting and displaying statistics. Reaching me: email: ebolker (gmail) US mail: 10 Chester Street Newton Highlands, MA 02461 USA Phone: (617) 969-2892 home phone, with answering machine, < 9PM ! FAX: (617) 969-2892 (If FAX expected) diff --git a/src/data/compiled_bios/1158.txt b/src/data/compiled_bios/1158.txt new file mode 100644 index 0000000000..3d9a0a8ba7 --- /dev/null +++ b/src/data/compiled_bios/1158.txt @@ -0,0 +1 @@ +Bill Campbell's Working Homepage (bio) Tools | speed test | religiousity | | google maps | anywho | nyt-navigator | healey databases | usave | coursera | destinos | sicp | the economy | Boxes | faculty | faculty2 | users | users2 | Life | s i walker | | | | | | | Art | moma | abbi jacobson | mfa | khan | yale | fogg | pem | massmoca | nbmaa | smith | clark | farnsworth | met | | | | Photo | loeil | asmp | phd | pg | mv | mv f | | | | | | UMB | umb | cs | math | healey library | wiser | hrd | email | Local | mln | cimc | timer | city of cambridge | mbta | Music | kcsm | whrb | wmbr | wqxr | wcrb | radio 3 | rf | rc | News | nyt quick | wp | globe | 538 | vox | le monde | gruniad | nyt books | new yorker | nyrb | wbur | Office Hours: Retired; reach me at willim.campbell "at" umb.edu Last updated on 11/03/2017 05:02:19; mail to: william.campbell "at" umb.edu diff --git a/src/data/compiled_bios/1159.txt b/src/data/compiled_bios/1159.txt new file mode 100644 index 0000000000..8fd490cefb --- /dev/null +++ b/src/data/compiled_bios/1159.txt @@ -0,0 +1 @@ +Richard H. Eckhouse Computer Science Richard H. Eckhouse is a retired professor in the Department of Computer Science at the University of Massachusetts, Boston. His academic areas of expertise are fundamentals of computing systems, machine and assembly language programming, real-time systems, computer architecture, and microprogramming. As a researcher, his interests include operating systems, virtual computer systems, multiprocessing, metalanguages applied to operating system semantics, biomedical devices, and the use of computers in human performance and rehabilitation studies. He holds a bachelor's degree in electrical engineering from Cornell University, 1962; an MS in electrical engineering from the University of Illinois, 1963; and a Ph.D. in computer science from the State University of New York at Buffalo, 1971. He has been a professor and lecturer of computer science and electrical engineering at Bucknell University, Dartmouth College, the State University of New York at Buffalo, Temple University, the University of Massachusetts Amherst, and Yale University. He is a principal in MOCO inc., a biomedical research firm specializing in biomechanics and human performance assessment. His industrial experience includes a variety of management positions at Digital Equipment Corporation and an appointment at IBM Research at Yorktown Heights. Eckhouse has served in various capacities for the IEEE Computer Society, the Association for Computing Machinery, the Journal of Medical Systems, and serves as a member of the Graduate Record Examination - Computer Science, Educational Testing Service. He is a member of Sigma Xi. Besides his many publications in professional journals, Eckhouse has co-authored three books, Minicomputer Systems: Organization, Programming, and Applications , Computer Programming and Architecture , and Alpha RISC Architecture, for Programmers . Click here for his curriculum vitae (PDF) Contact Points Electronic mail to: richard.eckhouse@umb.edu Non-electronic mail to: MOCO, inc. 344 Gannett Road Scituate, MA 02066 Telephone and FAX to: 781.545.2040 MOCO 781.545.8141 MOCO office FAX Last update: 15 October 2012 diff --git a/src/data/compiled_bios/116.txt b/src/data/compiled_bios/116.txt new file mode 100644 index 0000000000..8ef17b390b --- /dev/null +++ b/src/data/compiled_bios/116.txt @@ -0,0 +1 @@ + Toggle navigation Home Publications Teaching Contact Yang Cai Assistant Professor Department of Computer Science Yale University Biography I am an Assistant Professor of Computer Science and Economics (secondary appointment) at Yale University . Prior to joining Yale, I was an Assistant Professor in the Schools of Computer Science at McGill University. I did my postdoc with Christos Papadimitriou at UC Berkeley. Before that, I finished my Ph.D. at MIT in Computer Science under the supervision of Costis Daskalakis and received my B.Sc. in EECS at Peking University. Current students: Mingfei Zhao , Mashbat Suzuki (co-supervised with Adrian Vetta ), Johannes Brustle, Paul Pereira (co-supervised with Doina Precup ). Prospective graduate students interested in working with me please apply directly to Yales PhD program . Interests Theory of Computation Economics and Computation Learning Online Algorithms Logic Education Ph.D. in Computer Science, 2013 MIT B.Sc. in Electrical Engineering and Computer Science, 2008 Peking University Selected Publications Jessie Huang, Fa Wu, Doina Precup, Yang Cai (2018). Learning Safe Policies with Expert Guidance . In NeurIPS . PDF arXiv Yang Cai, Constantinos Daskalakis (2017). Learning Multi-item Auctions with (or without) Samples . In FOCS . PDF arXiv Johannes Brustle, Yang Cai, Fa Wu, Mingfei Zhao (2017). Approximating Gains from Trade in Two-sided Markets via Simple Mechanisms . In EC . PDF arXiv Yang Cai, Mingfei Zhao (2017). Simple Mechanisms for Subadditive Buyers via Duality . In STOC , invited to the Special Issue of Games and Economic Behavior for STOC/FOCS/SODA . PDF arXiv Yang Cai, Nikhil R. Devanur, S. Matthew Weinberg (2016). A Duality Based Unified Approach to Bayesian Mechanism Design . In STOC , invited to the Special Issue of SIAM Journal on Computing for STOC and the 2017 Highlights of Algorithms . PDF Nicolas Bousquet, Yang Cai, Christoph Hunkenschrder, Adrian Vetta (2016). On the Economic Efficiency of the Combinatorial Clock Auction . In SODA . PDF arXiv Yang Cai, Constantinos Daskalakis, Christos Papadimitriou (2015). Optimum Statistical Estimation with Strategic Data Sources . In COLT . PDF arXiv Yang Cai, Constantinos Daskalakis, S. Matthew Weinberg (2013). Understanding Incentives: Mechanism Design becomes Algorithm Design . In FOCS , invited to the Special Issue of Games and Economic Behavior for STOC/FOCS/SODA . PDF arXiv Recent Publications More Publications Moshe Babaioff, Yang Cai, Yannai A. Gonczarowski, Mingfei Zhao . The Best of Both Worlds: Asymptotically Efficient Mechanisms with a Guarantee on the Expected Gains-From-Trade . In EC , 2018. PDF arXiv Yang Cai, Federico Echenique, Hu Fu, Katrina Ligett, Adam Wierman, Juba Ziani . Third-Party Data Providers Ruin Simple Mechanisms . 2018. PDF arXiv Yang Cai, Nikhil R. Devanur, Kira Goldner, R. Preston McAfee . Simple and Approximately Optimal Pricing for Proportional Complementarities . 2018. Yang Cai, Constantinos Daskalakis, S. Matthew Weinberg . A Constructive Approach to Reduced-Form Auctions with Applications to Multi-Item Mechanism Design . 2017. PDF arXiv Yang Cai, Nikhil R. Devanur, S. Matthew Weinberg . A Duality Based Unified Approach to Bayesian Mechanism Design . In SIGECOM Newsletter , 2016. PDF Source Document Yang Cai, Ozan Candogan, Constantinos Daskalakis, Christos Papadimitriou . Zero-sum Polymatrix Games: A Generalization of Minmax . In Mathematics of Operations Research , 2016. PDF Source Document Nicolas Bousquet, Yang Cai, Adrian Vetta . Welfare and Rationality Guarantees for the Simultaneous Multiple-Round Ascending Auction . In WINE , 2015. PDF arXiv Yang Cai, Constantinos Daskalakis . Extreme-Value Theorems for Optimal Multidimensional Pricing . In GEB , 2015. PDF Source Document Yang Cai, Constantinos Daskalakis, S. Matthew Weinberg . Reducing Bayesian Mechanism Design to Algorithm Design . In Encyclopedia of Algorithms , 2015. PDF Source Document Gagan Aggarwal, Yang Cai, Aranyak Mehta, George Pierrakos . Biobjective Online Bipartite Matching . In WINE , 2014. PDF Teaching Currently teaching: CPSC 366: Intensive Algorithms. Spring 2019 Here is a list of courses Ive previously taught at McGill: COMP 362: Honours Algorithm Design. Winter 2018 COMP 360: Algorithm Design. Winter 2015 , Fall 2016 , Winter 2017, Fall 2017 COMP/MATH 553: Algorithmic Game Theory. Fall 2014 , Fall 2016 , Fall 2018 COMP 202: Foundations of Computing. Winter 2016 Contact yang.cai@yale.edu AKW 509, 51 Prospect Street, New Haven, CT 06511 2018 Powered by the Academic theme for Hugo . Cite Copy Download diff --git a/src/data/compiled_bios/1160.txt b/src/data/compiled_bios/1160.txt new file mode 100644 index 0000000000..47c695c7d4 --- /dev/null +++ b/src/data/compiled_bios/1160.txt @@ -0,0 +1 @@ +Colin Godfrey Department of Computer Science Fall 2015 Teaching Schedule Course Title Time Room CS 320 Applied Discrete Mathematics TuTh 5:30-6:45 pm M-1-207 CS 320 syllabus CS 320 Schedule Contact Points Office Hours for Fall 2015 Tu 6:50 - 8 and by appointment Office: M-3-607 Phone: 617-287-3827 (email is more effective than phone for reaching me) e-mail: colin.godfrey [at] umb [dot] edu U.S. mail: Department of Computer Science University of Massachusetts Boston 100 Morrissey Blvd. Boston, MA 02125-3393 USA FAX: 617-287-6433 Last updated 6 Sept 2015 Computer Science Department Home Page University of Massachusetts at Boston Home Page Some useful links Career Services at UMB. An introduction to RCS Oracle java site www.xemacs.org XEmacs is a graphical version of emacs for Windows and linux. diff --git a/src/data/compiled_bios/1161.txt b/src/data/compiled_bios/1161.txt new file mode 100644 index 0000000000..f1922b306b --- /dev/null +++ b/src/data/compiled_bios/1161.txt @@ -0,0 +1 @@ +Home Contact Us Portal Login FAQs Department of Computer Science College of Science and Mathematics Home About The Department Facilities Contact Us Visitor Information Academics Admissions Student Funding Undergraduate Programs Graduate Programs Honors Program Certificate Programs Undergraduate Graduate Program of Study Courses Undergraduate Graduate Course Schedule People Faculty Full-time Part-time Retired Staff Administrative Research Technical Support Research Groups Funding News and Events Events Calendar Colloquia Announcements Jobs and Internships Faculty Search Staff Search Resources MENU - Home - About - - The Department - - Facilities - - Contact Us - - Visitor Information - Academics - - Admissions - - Student Funding - - Undergraduate Programs - - Graduate Programs - - Honors Program - - Certificate Programs - - - Undergraduate - - - Graduate - - Program of Study - - Courses - - - Undergraduate - - - Graduate - - Course Schedule - People - - Faculty - - - Full-time - - - Part-time - - - Retired - - Staff - - - Administrative - - - Research - - - Technical Support - Research - - Groups - - Funding - News and Events - - Events Calendar - - Colloquia - - Announcements - - Jobs and Internships - - Faculty Search - - Staff Search - Resources Home People George Lukas George Lukas Title Associate Professor (retired) Email gl "at" cs.umb.edu About The Department Facilities Contact Us Visitor Information Academics Admissions Student Funding Undergraduate Programs Graduate Programs Honors Program Certificate Programs Program of Study Courses Course Schedule People Faculty Staff Research Groups Funding News and Events Events Calendar Colloquia Announcements Jobs and Internships Faculty Search Staff Search Resources Answers to FAQs Office Hours Academic Calendar CS Department IT Policies and Procedures VMware Dreamspark/Microsoft Imagine University of Massachusetts Boston 100 Morrissey Boulevard Boston, MA 02125 617.287.6441 csinfo "at" cs.umb.edu This page was last modified on September 29, 2010 2010 University of Massachusetts Boston Template by OS Templates diff --git a/src/data/compiled_bios/1162.txt b/src/data/compiled_bios/1162.txt new file mode 100644 index 0000000000..d8c0f2eeb3 --- /dev/null +++ b/src/data/compiled_bios/1162.txt @@ -0,0 +1 @@ +Home Page of Joan D. Lukas I am Professor Emerita in the Department of Mathematics at the University of Massachusetts at Boston . I teach courses in Mathematical Logic, History of Mathematics, Mathematics education, and interactions of mathematics and culture . Spring 2005 Courses: Math 470: Mathematical Logic Math Q114: Quantitative Reasoning Bard Clemente Bridge Course in the Humanites - Mathematics in History and Culture Office Science 3 -172 Hours MW 2:30 3:30 or by appointment mailto:joan.lukas@umb.edu Recent courses: Honors 252:Number in Nature and Culture Math490:Independent Study - Philosophy of Mathematics Mathematics in History and Culture CS 320 Applied Discrete Mathematics Last update 22 January 2005. Joan.Lukas@umb.edu diff --git a/src/data/compiled_bios/1163.txt b/src/data/compiled_bios/1163.txt new file mode 100644 index 0000000000..db414b4d3f --- /dev/null +++ b/src/data/compiled_bios/1163.txt @@ -0,0 +1 @@ +Robert A. Morris Professor(retired) I have retired and do not accept students. For current research see: Kurator FilteredPush Exploring Taxon Concepts Other activities and interests: W3 Community Open Annotation Ontology. Shannon Entropy and Lattice Theory applied to taxonomy mapping. Audubon Core biodiversity multimedia resource metadata. Vita Research projects: Electronic Field Guide Low Vision Reading RDF via GRDDL ram[*at*]cs[*dot*]umb[*dot*]edu myLastName[*dot*]bob[*at*]gmail[*dot*]com diff --git a/src/data/compiled_bios/1164.txt b/src/data/compiled_bios/1164.txt new file mode 100644 index 0000000000..7ca30a958b --- /dev/null +++ b/src/data/compiled_bios/1164.txt @@ -0,0 +1 @@ +Home Contact Us Portal Login FAQs Department of Computer Science College of Science and Mathematics Home About The Department Facilities Contact Us Visitor Information Academics Admissions Student Funding Undergraduate Programs Graduate Programs Honors Program Certificate Programs Undergraduate Graduate Program of Study Courses Undergraduate Graduate Course Schedule People Faculty Full-time Part-time Retired Staff Administrative Research Technical Support Research Groups Funding News and Events Events Calendar Colloquia Announcements Jobs and Internships Faculty Search Staff Search Resources MENU - Home - About - - The Department - - Facilities - - Contact Us - - Visitor Information - Academics - - Admissions - - Student Funding - - Undergraduate Programs - - Graduate Programs - - Honors Program - - Certificate Programs - - - Undergraduate - - - Graduate - - Program of Study - - Courses - - - Undergraduate - - - Graduate - - Course Schedule - People - - Faculty - - - Full-time - - - Part-time - - - Retired - - Staff - - - Administrative - - - Research - - - Technical Support - Research - - Groups - - Funding - News and Events - - Events Calendar - - Colloquia - - Announcements - - Jobs and Internships - - Faculty Search - - Staff Search - Resources Home People Kenneth Newman Kenneth Newman Title Associate Professor (retired) Email kwn "at" cs.umb.edu Education PhD, Cornell University BS, Brooklyn College Research Interests Performance Modeling About The Department Facilities Contact Us Visitor Information Academics Admissions Student Funding Undergraduate Programs Graduate Programs Honors Program Certificate Programs Program of Study Courses Course Schedule People Faculty Staff Research Groups Funding News and Events Events Calendar Colloquia Announcements Jobs and Internships Faculty Search Staff Search Resources Answers to FAQs Office Hours Academic Calendar CS Department IT Policies and Procedures VMware Dreamspark/Microsoft Imagine University of Massachusetts Boston 100 Morrissey Boulevard Boston, MA 02125 617.287.6441 csinfo "at" cs.umb.edu This page was last modified on October 19, 2010 2010 University of Massachusetts Boston Template by OS Templates diff --git a/src/data/compiled_bios/1165.txt b/src/data/compiled_bios/1165.txt new file mode 100644 index 0000000000..161f4a767f --- /dev/null +++ b/src/data/compiled_bios/1165.txt @@ -0,0 +1 @@ +Patrick O'Neil Professor Emeritus, Department of Computer Science Research Areas Database Concurrency and Isolation Models Database Query Indexing and Aggregation Database Systems: SQL Semantics and Internals Database Performance Data Warehousing Multi-Dimensional Databases (OLAP) Real-Time Databases More Information Homepage for my text with Elizabeth O'Neil. Database: Principles, Programming, and Performance My CV My publications list with some active links CiteSeer Citation List Isolation Testing Project C.S. Department Home Page Home Page for CS240 Course in C Programming (and UNIX)) Home Page for CS320 Course in Discrete Mathematics) Home Page for CS420 Course in Theory of Computation Home Page for CS630 Course in Database DBA Fundamentals Home Page for CS634 Course in Database DBA Fundamentals Home Page for CS734 Database Internals Reaching Me My email: poneil@cs.umb.edu My school schedule: My .plan Department mailing address: Prof. Patrick O'Neil Department of Math and C.S. UMass/Boston Boston, MA 02125-3393 USA Home Office (often reaches me sooner): Patrick O'Neil 27 Ware St. Cambridge, MA 02138 Phone: +1 617 287-6468 University office phone +1 617 661-1054 home phone +1 617 354-6460 home office phone, with answering machine/FAX FAX: +1 617 287-6499 (Department Fax) +1 617 354-6460 (Home Office Fax) Last updated July 14, 2001 diff --git a/src/data/compiled_bios/1166.txt b/src/data/compiled_bios/1166.txt new file mode 100644 index 0000000000..5f4518d55b --- /dev/null +++ b/src/data/compiled_bios/1166.txt @@ -0,0 +1 @@ +Richard L Tenney Computer Science Interests and some related links Standardized Formal Description Techniques Estelle Information International Organization for Standardization American National Standards Institute Computer Networks IETF Home Page RFC Index Search Form ISDN Information Book Information Information from World Scientific Publishing about Theory of Formal Languages with Applications by Dan Simovici and Richard Tenney Information from Academic Press about Relational Database Systems by Dan Simovici and Richard Tenney Some FDT and Network Conferences FORTE Conference Series (now combined with FMOODS) List of IFIP WG6.1 Conferences E J Gibson Symposium, 2003 My Photographs . Click on thumbnail for larger photo; then click on larger photo for original, high-definition photo (a very large file - you've been warned). Harpsichord Early Music Events in New England Classical Music Home Page Boston Early Music Festival Some Personal Favorite Links European Train Schedules -- plan your trip! Currency Converter -- figure out what it'll cost. Stock Market Quotes (Nasdaq, AMEX, NYSE & OTCBB) -- the financial state of your favorite publicly traded company. The SEC EDGAR System -- official information about publicly traded companies. Weather Information (directly from the National Weather Service) and even more specifically, Belmont, MA, Weather . The New York Times -- an interactive, HTML version of the paper. Cyber Times Navigator -- a wonderful reference page provided by The New York Times . United States Patent and Trademark Office -- Look up the incredible things that get patented. University Club -- most recent menu. Will Brownsberger -- the home page of my state representative. (CTAN) Home Page -- home of the Comprehensive TeX Archive Network (CTAN). UK TeX Archive -- all things TeX. German TeX Archive -- all things TeX (described in German, with some English, too). TeX and LaTeX Catalog (ftp) -- This one hosted in the USA. WEB Wizard (free version) -- help for making your own home page. Introduction to HTML -- a venerable tutorial about HTML. Contact Points Comments? Corrections? Broken Links? Suggestions? Send me e-mail at rlt@cs.umb.edu Write me at Computer Science Department University of Massachusetts at Boston 100 Morrissey Blvd. Boston, MA 02125-3393 USA Phone me at the following numbers (between 09:00 and 21:00 Eastern Time, please): +1 617 287-6440 university department phone +1 617 484-7600 home office phone (with an answering machine) And send me a FAX at the following numbers: +1 617 287-6433 department FAX +1 617 484-5220 home office FAX Last updated 25 October 2010 Computer Science Department Home Page University of Massachusetts at Boston Home Page diff --git a/src/data/compiled_bios/1167.txt b/src/data/compiled_bios/1167.txt new file mode 100644 index 0000000000..fadefc5595 --- /dev/null +++ b/src/data/compiled_bios/1167.txt @@ -0,0 +1 @@ +Temitayo Banjo Lecturer in Computer Science, College of Science and Mathematics Contact Phone: 617.287.6490 Email: Temitayo.Banjo@umb.edu Office Location: Science Center, 3rd Floor, Room 130 diff --git a/src/data/compiled_bios/1168.txt b/src/data/compiled_bios/1168.txt new file mode 100644 index 0000000000..291b0570e9 --- /dev/null +++ b/src/data/compiled_bios/1168.txt @@ -0,0 +1 @@ +Dr. RONALD S. CHEUNG Department of Computer Science, S-3-073 Science Building University of Massachusetts Boston (617) 287 6483 100 Morrissey Blvd. cheungr@cs.umb.edu Boston, MA 02125-3393 http://www.cs.umb.edu/~cheungr/ ____________________________________________________________________________________________ RESEARCH INTERESTS: My main research interests are in the areas of software management and development process, operating systems, networking, information security and embedded systems. EDUCATION: Ph. D. in Electrical Engineering, 1978 Drexel University Philadelphia , PA 19104 HIGHLIGHTS OF QUALIFICATIONS: Recipient of the Massachusetts Coastal Permit Database (CPDB) grant (together with Professor E. ONeil) from the Massachusetts Office of Environmental Affairs Coastal Zone Management, 2012. Recipient of the Equipment for Education (E4E) grant (together with Professors B. Campbell and D. Tran) from Enterasys, a Siemens Enterprise Communications Company, 2011. Recipient of the Program on Instructional Innovation (Pi2) grant from the College of Science and Mathematics, University of Massachusetts, Boston, Spring 2011 and Spring 2012. Over 25 years of technical and managerial experience in industry and academia. Over 10 years of part-time and full-time teaching experience. Proven leadership skills in managing projects, establishing and improving processes, defining strategic objectives and achieving them with limited resources. PROFESSIONAL EXPERIENCE : Computer Science Dept. , UMass Boston, MA 2003 Present Lecturer II, Director of Software Engineering Research Lab (SERL) and CS Labs Coached a group of CS/IT students in 2011, 2012 and 2013 to compete in the Northeast Collegiate Cyber Defense Competition (NECCDC) and the MIT Capture the Flag (CTF) competition. Recruited and trained students on information security and network defense against cyber attacks. The 2011 student team won second place in the MIT Capture the Flag competition. Developed and supported software applications for the Massachusetts Office of Environmental Affairs Coastal Zone Management, UMass Boston Academic Support Department and the Corporate, Continuing and Distance Education Department. These applications include the Coastal Permit Database (CPDB), Math Placement Exam System (MPES) and the On-line Application for Tutoring Services (OATS). Hired and trained students to develop the software, troubleshoot problems and perform software/database corrections. Organized and taught IT training classes for the Commonwealth of Massachusetts. Classes included Java Programming and Software Quality Assurance. Teaching both undergraduate and graduate CS and IT courses, such as C Programming on UNIX (CS 240), Introduction to UNIX/LINUX (IT 244), Windows Server Administration (IT 442), Network Security Administration (IT 443), Internetworking (CS 446), Real-Time Systems (CS 445), Introduction to Operating Systems (CS 444), Computer Architecture (CS 641), and User Interface Design (CS 615). Managing three system staff members in supporting IT needs of the CS and Math Depts. Responsible for establishing priorities, allocating resources, defining support and security policies, performing risk analysis and recommending risk containment strategies, identifying strategic initiatives for the department, soliciting funding from the university, and implementing ideas that improve the departments computing environment. Responsible for resolving findings in the Information Technology General Controls Review on the Computer Science Dept. Wrote the CS Dept. IT Policies and Procedures and the CS. Dept. Business Continuity Plan (BCP). BLUE HILL COMMUNICATIONS INC. - Waltham, MA 1995 2004 Founder and President Started a software company that specialized in developing PC data communication products and providing software consulting services. Responsible for defining the products, meeting with potential customers, raising money from private investors, writing the business plan, coding the software, and managing engineers and consultants in developing the product. Consulted for Saral Networks Inc. on the development of automatic configuration software in C++ for Wi-Fi wireless routers and adapter cards. Responsible for defining the software development process, the development schedule, staffing, meeting with customers and solving technical issues. Consulted for Verizon (GTE) Labs on the development of communication software that enabled PCs to transmit video over the next generation network. Wrote software based on standard Windows APIs. MOTOROLA INC. - Mansfield, MA 1982 1994 Director of Software Engineering High End Networking Group Managed a department of 30 engineers and consultants in developing software for an embedded voice/data switch. Responsible for budgeting, hiring, project planning and tracking, defects tracking and resolutions, and assessing the projects software development process using the Capability Maturity Model (CMM). Key person in coordinating software development between several Motorola groups. Defined a new communication architecture to manage switches over the frame relay network and the invention was captured in a patent filing. Development Manager II - Research and Advanced Development Group: Led a group of engineers in building core software technologies for the company. The project resulted in a reusable methodology to develop signaling software for embedded communication products. Completed software coding, testing and integration with hardware on time. The methodology was reused successfully in building signaling software for multiple switches. Led a group of engineers in developing hardware and software for a T1 multiplexer product. Responsible for building the hardware, investigating voice digitization algorithms and implementing them in firmware. Led the product through manufacturing and release. Resolved customer problems after shipping the product. GTE CORPORATION- Needham, MA 1974 1982 Engineering Specialist Responsible for the research, simulation and real-time implementation of secured voice algorithms for the U.S. Government. Programmed voice digitization algorithms in real-time on a programmable signal processor. OTHERS: Adjunct assistant professor at the Systems, Computer and Electrical Engineering Dept., Boston University, Boston, MA, 1981-1983. PUBLICATIONS, PROPOSALS, IT DOCUMENTS AND BOOK REVIEWS: [1] R. Cheung, Computer Science Dept. Business Continuity Plan, submitted to the University of Massachusetts Internal Audit Dept. for the follow-up audit of the Information Technology General Controls Review, UMass Boston Computer Science Dept., January 2013. [2] Proposal Capacity Building in Security, Privacy and Trust for Geospatial Applications G. Ghinita, D. Simovici, B. Sheng, and R. Cheung, submitted to the National Science Foundation Federal Cyber Services: Scholarship for Service SFS Program, October 2012. [3] R. Cheung, Computer Science Dept. IT Policies and Procedures, posted in http://www.cs.umb.edu/umbcs/documents/CS_dept_IT_Policies.pdf, October 2012. [4] R. Cheung, J. Cohen, H. Lo, F. Elia and Veronica Carrillo-Marquez, Effectiveness of Cybersecurity Competitions, Proc. International Conference on Security and Management, Las Vegas, Nevada, July 2012. [5] Proposal, The Massachusetts Coastal Permit Database (CPDB) SERL, submitted to the Massachusetts Office of Environmental Affairs Coastal Zone Management, December 2011. [6] Proposal "An Online Virtual Laboratory for Cybersecurity Education" R. Cheung, submitted to the College of Science and Mathematics Program on Instructional Innovation (Pi2), University of Massachusetts Boston, MA, December 2011. [7] R. Cheung, J. Cohen, H. Lo and F. Elia, Challenge Based Learning in Cybersecurity Education, Proc. International Conference on Security and Management, Las Vegas, Nevada, July 2011. [8] Proposal, Equipment for Education (E4E), W. Campbell, R. Cheung and D. Tran, submitted to Enterasys Corporation, December, 2010. [9] Proposal, Challenge Based Learning (CBL) in Computer Science, R. Cheung, submitted to the College of Science and Mathematics Program on Instructional Innovation (Pi2), University of Massachusetts Boston, MA, November 2010. [10] Textbook review Data Structures and Problem Solving Using Java - 4th edition by Mark Allen Weiss, submitted to Pearson Addison-Wesley, March 2008. [11] Textbook review UNIX for Programmers and Users - 3 rd edition by Glass and Ables, submitted to Prentice Hall, August 2006. [12] Proposal A Simulation Workbench for Real-Time Applications submitted to National Science Foundation, Directorate for Education and Human Resources, Division of Undergraduate Education, Course, Curriculum and Laboratory Improvement (CCLI) -Educational Materials Development (EMD), June 2003. [13] Patent application, Network Management Communication using Frame Relay, filed September 1993. [14] R. Cheung, Real-Time Implementation of a 9600 bps Subband Coder with Time Domain Harmonic Scaling, Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, Paris, France, May 1982. [15] R. Cheung and S. Y. Kwon, The Design of a 16 kb/s Split-Band Adaptive Predictive Coder for Noisy Channels, Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, Atlanta, Georgia, March 1981. [16] R. Cheung and R. L. Winslow, High Quality 16kb/s Voice Transmission: The Sub-band Coder Approach, Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, Denver, Colorado, April 1980. [17] R. Cheung and B.A. Eisenstein, Feature Selection via Dynamic Programming for Text-Independent Speaker Identification, IEEE Trans. On Acoustics, Speech and Signal Processing, vol. 26, Issue 5, October 1978. [18] R. Cheung, The Selection of Acoustic Features For Text-Independent Speaker Identification, Ph. D. thesis, Drexel University, Philadelphia, PA., June 1978. [19] R. Cheung, Application of CVSD with Delayed Decision to Narrowband/Wideband Tandem, Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, Hartford, Connecticut, May 1977. [20] A. J. Goldberg, R. L. Freudberg and R. Cheung, High Quality 16Kb/s Voice Transmission, Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, Philadelphia, PA., April 1976. diff --git a/src/data/compiled_bios/1169.txt b/src/data/compiled_bios/1169.txt new file mode 100644 index 0000000000..8c861c9463 --- /dev/null +++ b/src/data/compiled_bios/1169.txt @@ -0,0 +1 @@ +Glenn Hoffman Lecturer and Undergraduate Program Director for Information Technology, College of Science and Mathematics Contact Phone: 617.287.7472 Email: glennhoffman@mac.com diff --git a/src/data/compiled_bios/117.txt b/src/data/compiled_bios/117.txt new file mode 100644 index 0000000000..1ef0e84281 --- /dev/null +++ b/src/data/compiled_bios/117.txt @@ -0,0 +1 @@ + Skip to Main Content Area Yale Computer Graphics Group Home People Research Areas Publications Software Packages About Us Close 2010-2019 Yale University All Rights Reserved ( important copyright information ) Julie Dorsey View Publications Research Areas Julie Dorsey Julie Dorsey is a Professor of Computer Science at Yale University, where she teaches computer graphics. She came to Yale in 2002 from MIT, where she held tenured appointments in both the Department of Electrical Engineering and Computer Science (EECS) and the School of Architecture. She received undergraduate degrees in architecture and graduate degrees in computer science from Cornell University. Background With architecture as a driving application, Julie Dorsey has studied a wide range of problems in computer graphics, including sketch-based interfaces for early conceptual design, acceleration methods for real-time rendering, and the creation of detailed photorealistic renderings. Her contributions also include algorithms for lighting and acoustical design and visualization. She is particularly well known for her research in modeling the appearance of materials -- for example, she pioneered techniques to model the visual richness of irregular metal patinas and eroded stone. Her current research interests include photorealistic image synthesis, material and texture models, illustration techniques, and interactive visualization of complex scenes, with an application to urban environments. In addition to serving on numerous conference program committees, she is Editor-in-Chief of ACM Transactions on Graphics and an editorial-board member for Computers and Graphics and Foundations and Trends in Computer Graphics and Vision, and was Papers Chair for ACM SIGGRAPH 2006. She has received several professional awards, including MIT's Edgerton Faculty Achievement Award, a National Science Foundation Career Award, and an Alfred P. Sloan Foundation Research Fellowship. She is a fellow of the Radcliffe Institute at Harvard (2010-11) and the Whitney Humanities Center at Yale (2010-12). Together with two of her colleagues, she recently helped establish the new Computing and the Arts major at Yale. diff --git a/src/data/compiled_bios/1170.txt b/src/data/compiled_bios/1170.txt new file mode 100644 index 0000000000..ea07fb375b --- /dev/null +++ b/src/data/compiled_bios/1170.txt @@ -0,0 +1 @@ +Swami Iyer - Home Home Teaching Research CV Hello, World! I am a lecturer in the Computer Science Department at the University of Massachusetts Boston . In addition, I am the supervisor for the department website. Reaching Me: S-3-079 (Room 79, Third Floor, Science Building) 617.287.6475 siyer@cs.umb.edu Spring 2019 Courses: CS110: Introduction to Computing (Tue Thu 12:30 PM - 1:45 PM in Y-02-2300) CS210: Intermediate Computing with Data Structures (Tue Thu 2:00 PM - 3:15 PM in Y-02-2300) CS451/651: Compilers (Tue Thu 4:00 PM - 5:15 PM in W-01-0004) Office Hours: Tue Thu 10:00 AM - Noon Advising: If you need to see me for advising, please stop by during my office hours there's no need to make an appointment. Recommendation: If you have taken classes with me, have done well (ie, received an A in all of them), and need a recommendation letter from me, I'd be glad to write you one. Please give me at least two weeks notice and details on where, when, and how I need to dispatch the letter. In addition, I'll need a short statement highlighting your interests and career goals, so that I can write an effective letter. Research Interests Evolutionary dynamics on complex networks, machine learning Education PhD, Computer Science, University of Massachusetts at Boston , 2013 MS, Computer Science, University of Massachusetts at Boston , 2001 BS, Electronics and Telecommunication, VESIT , Mumbai, India, 1996 Biography I was born in the southern Indian city of Chennai and grew up in Mumbai. I received my primary and secondary education at Model English School and higher secondary education at Ruparel College . During my second year at Ruparel College, I attended the famous (now defunct) Agrawal Classes . I received my bachelor's degree in Electronics and Telecommunication from Vivekanand Education Societys Institute of Technology (VESIT) in 1996 after which I worked for two years as a software developer at Tata Interactive Systems , where I designed and implemented multimedia-rich e-learning software. I received my master's degree in Computer Science from the University of Massachusetts at Boston (UMB) in 2001, following which I worked at BMC Software as a software developer until 2006. My role at BMC Software was to design and develop system- and application-level performance-monitoring software. I then decided to seek a PhD degree in order to fulfill my ambition of pursuing a career in academia with both research and teaching responsibilities. I received my PhD in Comptuer Science, also from UMB, in 2013. My thesis, entitled Evolutionary Dynamics on Complex Networks , was directed by Prof. Timothy Killingback from the Mathematics Department. Page generated 2019-01-21 06:01:42 EST, by jemdoc . ( source ) diff --git a/src/data/compiled_bios/1171.txt b/src/data/compiled_bios/1171.txt new file mode 100644 index 0000000000..d01b3ce6b6 --- /dev/null +++ b/src/data/compiled_bios/1171.txt @@ -0,0 +1 @@ +Home Contact Us Portal Login FAQs Department of Computer Science College of Science and Mathematics Home About The Department Facilities Contact Us Visitor Information Academics Admissions Student Funding Undergraduate Programs Graduate Programs Honors Program Certificate Programs Undergraduate Graduate Program of Study Courses Undergraduate Graduate Course Schedule People Faculty Full-time Part-time Retired Staff Administrative Research Technical Support Research Groups Funding News and Events Events Calendar Colloquia Announcements Jobs and Internships Faculty Search Staff Search Resources MENU - Home - About - - The Department - - Facilities - - Contact Us - - Visitor Information - Academics - - Admissions - - Student Funding - - Undergraduate Programs - - Graduate Programs - - Honors Program - - Certificate Programs - - - Undergraduate - - - Graduate - - Program of Study - - Courses - - - Undergraduate - - - Graduate - - Course Schedule - People - - Faculty - - - Full-time - - - Part-time - - - Retired - - Staff - - - Administrative - - - Research - - - Technical Support - Research - - Groups - - Funding - News and Events - - Events Calendar - - Colloquia - - Announcements - - Jobs and Internships - - Faculty Search - - Staff Search - Resources Home People Christopher Kelly Christopher Kelly Title Student Instructor Office S-3-132 Email Christopher.Kelly005 "at" @umb.edu About The Department Facilities Contact Us Visitor Information Academics Admissions Student Funding Undergraduate Programs Graduate Programs Honors Program Certificate Programs Program of Study Courses Course Schedule People Faculty Staff Research Groups Funding News and Events Events Calendar Colloquia Announcements Jobs and Internships Faculty Search Staff Search Resources Answers to FAQs Office Hours Academic Calendar CS Department IT Policies and Procedures VMware Dreamspark/Microsoft Imagine University of Massachusetts Boston 100 Morrissey Boulevard Boston, MA 02125 617.287.6441 csinfo "at" cs.umb.edu This page was last modified on May 02, 2014 2014 University of Massachusetts Boston Template by OS Templates diff --git a/src/data/compiled_bios/1172.txt b/src/data/compiled_bios/1172.txt new file mode 100644 index 0000000000..c53756af0d --- /dev/null +++ b/src/data/compiled_bios/1172.txt @@ -0,0 +1 @@ +Carl Offner I usually teach a computer science course each term here at UMass/Boston. My day job is at Ab Initio: Ab Initio Software Corporation 201 Spring Street Lexington, MA 02421 USA email: offner "at" cs.umb.edu This is always the best address to use when sending me email, because email here also gets forwarded to me at work and at home. This Spring I am teaching CS 624: The Analysis of Algorithms . What I do for a living: TStreams Project Papers Here are papers and technical reports from the TStreams project, which I worked on with Kath Knobe and Alex Nelson at the Hewlett-Packard Cambridge Research Lab. High Performance Fortran (HPF) Papers Here are papers and technical reports from the HPF compiler project at Digital and Compaq. Here are some expository papers I am putting up for public enjoyment: These papers are written at the level of an advanced undergraduatesay, someone who has been through advanced calculus and linear algebra. Repetitions of Words and the Thue-Morse Sequence Finite Fields and Pseudo-Random Number Generation Some Early Analytic Number Theory Computing the Digits in This paper is written at the level of a first-year graduate student. As I was writing this up, I got interested in some historical questions. At the end of the paper I include a historical sketch that includes my views on two controversial topics: Did Abel prove "Abel's theorem" on the convergence of power series? (Yes, he did.) Did Dirichlet really come up with the modern definition of function? (I think it's quite reasonable to say that he did.) and also my thoughts on a question that I have not seen dealt with seriously before: Why was Fejr's theorem such a sensation, since the essential results had been known for many years? A Little Harmonic Analysis This paper is standard computer science. Much of it is not readily available in books, however. It's only the bare beginning; I'd like to add a lot more to this: Notes on Graph Algorithms Used in Optimizing Compilers And here are my thoughts on some current issues in secondary school science and mathematics education. The paper looks atand gives reasons for rejectingthree principles that have been widely promoted in current educational reform debates. These principles have been popularized in particular by Theodore Sizer and his Coalition of Essential Schools: "Less is more." Exhibitions as a goal or proof of successful education. Sometimes the phrase "authentic assessment" is used for this principle. High school teachers as generalists or coaches rather than subject-matter specialists. Sometimes this is referred to as an "interdisciplinary" model of education. In considering these principles, the paper touches on some common misconceptions of science and the "scientific method". In an extended discussion, it contrasts these with a description of what science is, what scientists do, andbased on thiswhat are reasonable objectives for secondary school science and mathematics education. Dumbing Down Mathematics and Science: Sizer's Essential Schools Proposal diff --git a/src/data/compiled_bios/1173.txt b/src/data/compiled_bios/1173.txt new file mode 100644 index 0000000000..a5bb732a87 --- /dev/null +++ b/src/data/compiled_bios/1173.txt @@ -0,0 +1 @@ +Amanda Potasznik Lecturer of Computer Science, College of Science and Mathematics Contact Phone: 617.287.6490 Email: potasznik@cs.umb.edu Office Location: Science Center, 3rd Floor, Room 130 diff --git a/src/data/compiled_bios/1174.txt b/src/data/compiled_bios/1174.txt new file mode 100644 index 0000000000..0b8c6adc02 --- /dev/null +++ b/src/data/compiled_bios/1174.txt @@ -0,0 +1 @@ +Gabriel Spitz , ScD Lecturer in Computer Science, College of Science and Mathematics Contact Phone: 617.287.3827 Email: Gabriel.Spitz@umb.edu Office Location: McCormack Hall, 3rd Floor, Room 607 Areas of Expertise Human Factors and User Interface Design diff --git a/src/data/compiled_bios/1175.txt b/src/data/compiled_bios/1175.txt new file mode 100644 index 0000000000..9cacf638ae --- /dev/null +++ b/src/data/compiled_bios/1175.txt @@ -0,0 +1 @@ +Simon Tran , PhD Lecturer in Computer Science, College of Science and Mathematics Contact Phone: 617.287.6940 Email: stran@cs.umb.edu Office Location: Science Building, 3rd Floor, Room 130 Areas of Expertise System Security, System Administration, and Virtualization Technology diff --git a/src/data/compiled_bios/1176.txt b/src/data/compiled_bios/1176.txt new file mode 100644 index 0000000000..34d45e7dcd --- /dev/null +++ b/src/data/compiled_bios/1176.txt @@ -0,0 +1 @@ +Zaihan Yang Lecturer in Computer Science, College of Science and Mathematics Contact Phone: 617.287-.6490 Email: Zaihan.Yang@umb.edu Office Location: Science Center, 3rd Floor, Room 130 diff --git a/src/data/compiled_bios/1177.txt b/src/data/compiled_bios/1177.txt new file mode 100644 index 0000000000..2a18362b8b --- /dev/null +++ b/src/data/compiled_bios/1177.txt @@ -0,0 +1 @@ +Home Contact Us Portal Login FAQs Department of Computer Science College of Science and Mathematics Home About The Department Facilities Contact Us Visitor Information Academics Admissions Student Funding Undergraduate Programs Graduate Programs Honors Program Certificate Programs Undergraduate Graduate Program of Study Courses Undergraduate Graduate Course Schedule People Faculty Full-time Part-time Retired Staff Administrative Research Technical Support Research Groups Funding News and Events Events Calendar Colloquia Announcements Jobs and Internships Faculty Search Staff Search Resources MENU - Home - About - - The Department - - Facilities - - Contact Us - - Visitor Information - Academics - - Admissions - - Student Funding - - Undergraduate Programs - - Graduate Programs - - Honors Program - - Certificate Programs - - - Undergraduate - - - Graduate - - Program of Study - - Courses - - - Undergraduate - - - Graduate - - Course Schedule - People - - Faculty - - - Full-time - - - Part-time - - - Retired - - Staff - - - Administrative - - - Research - - - Technical Support - Research - - Groups - - Funding - News and Events - - Events Calendar - - Colloquia - - Announcements - - Jobs and Internships - - Faculty Search - - Staff Search - Resources Home People Alfred Bird Alfred Bird Title Lecturer (retired) Email abird "at" cs.umb.edu About The Department Facilities Contact Us Visitor Information Academics Admissions Student Funding Undergraduate Programs Graduate Programs Honors Program Certificate Programs Program of Study Courses Course Schedule People Faculty Staff Research Groups Funding News and Events Events Calendar Colloquia Announcements Jobs and Internships Faculty Search Staff Search Resources Answers to FAQs Office Hours Academic Calendar CS Department IT Policies and Procedures VMware Dreamspark/Microsoft Imagine University of Massachusetts Boston 100 Morrissey Boulevard Boston, MA 02125 617.287.6441 csinfo "at" cs.umb.edu This page was last modified on August 25, 2017 2017 University of Massachusetts Boston Template by OS Templates diff --git a/src/data/compiled_bios/1178.txt b/src/data/compiled_bios/1178.txt new file mode 100644 index 0000000000..c90ba8dff7 --- /dev/null +++ b/src/data/compiled_bios/1178.txt @@ -0,0 +1 @@ +Welcome to Bob Wilson's Home Page I am a retired Senior Lecturer in the UMB Computer Science Department. I earned my BSEE and Masters degree in Electrical Engineering from Rensselaer Polytechnic Institute in Troy, New York. My graduate work was funded by a National Science Foundation Fellowship. For over 12 years, I taught the "Introduction to Computing in Java" , "Data Structures" , "C Programming" , and "Computer Architecture and Organization" courses. For service to the CS department, I was the Undergraduate Program Director, CSM Senate Representative, and on various department committees. I may be teaching part-time in the future. If so, my semester schedule will be shown below. Prior to starting at UMB in 2002, I had retired early from a 30+ year career in industry. As a software engineer and a software development manager, I worked for the USAF, Honeywell, The Codex Corporation, and Motorola. My experience is predominantly in developing and testing embedded systems, network products, and communication protocol software. While working in industry, I was also teaching part-time for the Northeastern University State-of-the-Art Engineering Program in Dedham and Burlington. Contact Information My primary email address: Robert.Wilson "at" umb.edu My backup email address: bobw "at" cs.umb.edu Advising Information If you need advising and/or a new department advisor, please contact the current Undergraduate Program Director, Ming Ouyang (ming 'at' cs.umb.edu), or the department office staff. diff --git a/src/data/compiled_bios/1179.txt b/src/data/compiled_bios/1179.txt new file mode 100644 index 0000000000..0496b43b98 --- /dev/null +++ b/src/data/compiled_bios/1179.txt @@ -0,0 +1 @@ +Home Contact Us Portal Login FAQs Department of Computer Science College of Science and Mathematics Home About The Department Facilities Contact Us Visitor Information Academics Admissions Student Funding Undergraduate Programs Graduate Programs Honors Program Certificate Programs Undergraduate Graduate Program of Study Courses Undergraduate Graduate Course Schedule People Faculty Full-time Part-time Retired Staff Administrative Research Technical Support Research Groups Funding News and Events Events Calendar Colloquia Announcements Jobs and Internships Faculty Search Staff Search Resources MENU - Home - About - - The Department - - Facilities - - Contact Us - - Visitor Information - Academics - - Admissions - - Student Funding - - Undergraduate Programs - - Graduate Programs - - Honors Program - - Certificate Programs - - - Undergraduate - - - Graduate - - Program of Study - - Courses - - - Undergraduate - - - Graduate - - Course Schedule - People - - Faculty - - - Full-time - - - Part-time - - - Retired - - Staff - - - Administrative - - - Research - - - Technical Support - Research - - Groups - - Funding - News and Events - - Events Calendar - - Colloquia - - Announcements - - Jobs and Internships - - Faculty Search - - Staff Search - Resources Home People Leonard David Leonard David Title Systems/Network Administrator Office S-3-072 Phone 617.287.6477 Email ldavid "at" cs.umb.edu About The Department Facilities Contact Us Visitor Information Academics Admissions Student Funding Undergraduate Programs Graduate Programs Honors Program Certificate Programs Program of Study Courses Course Schedule People Faculty Staff Research Groups Funding News and Events Events Calendar Colloquia Announcements Jobs and Internships Faculty Search Staff Search Resources Answers to FAQs Office Hours Academic Calendar CS Department IT Policies and Procedures VMware Dreamspark/Microsoft Imagine University of Massachusetts Boston 100 Morrissey Boulevard Boston, MA 02125 617.287.6441 csinfo "at" cs.umb.edu This page was last modified on December 28, 2016 2016 University of Massachusetts Boston Template by OS Templates diff --git a/src/data/compiled_bios/118.txt b/src/data/compiled_bios/118.txt new file mode 100644 index 0000000000..57363980c5 --- /dev/null +++ b/src/data/compiled_bios/118.txt @@ -0,0 +1 @@ + Stanley C. Eisenstat Professor Department of Computer Science Yale University P. O. Box 208285 51 Prospect St New Haven, CT 06520-8285 Office: 208 Watson Office Hours: By appointment (see below) Appointments via the Web To see what slots are open within the next few days or to make an appointment, click . To verify or cancel an existing appointment, please enter your Yale e-mail address and click . Miscellany B.S., Case Institute of Technology, 1966 M.S., Ph.D., Stanford University, 1967, 1972 Joined Yale Faculty 1971 Major research interests include numerical linear and nonlinear algebra, direct and iterative methods for solving sparse linear systems, and parallel computing. Representative Publications: "The Theory of Elimination Trees for Sparse Unsymmetric Matrices", with Joseph W. H. Liu, SIAM Journal on Matrix Analysisand Applications 26(3):686-705, March-April 2005. "An Efficient Algorithm for Computing a Strong Rank-Revealing QR Factorization," with M. Gu, SIAM Journal on Scientific Computing 17(4):848-869, July 1996. "Relative Perturbation Techniques for Singular Value Problems," with I. C. F. Ipsen, SIAM Journal on Numerical Analysis 32(5):1972-1988, October 1995. "A Stable Algorithm for the Rank-one Modification of the Symmetric Eigenproblem," with M. Gu, SIAM Journal on Matrix Analysis and Applications 15(4):1266-1276, October 1994. "Inexact Newton Methods," with R. S. Dembo and T. Steihaug, SIAM Journal on Numerical Analysis 19(2):400-408, April 1982. Other Links Department of Computer Science Yale College Yale University Last modified 08/25/18 diff --git a/src/data/compiled_bios/1180.txt b/src/data/compiled_bios/1180.txt new file mode 100644 index 0000000000..3b6f1c72da --- /dev/null +++ b/src/data/compiled_bios/1180.txt @@ -0,0 +1 @@ +Home Contact Us Portal Login FAQs Department of Computer Science College of Science and Mathematics Home About The Department Facilities Contact Us Visitor Information Academics Admissions Student Funding Undergraduate Programs Graduate Programs Honors Program Certificate Programs Undergraduate Graduate Program of Study Courses Undergraduate Graduate Course Schedule People Faculty Full-time Part-time Retired Staff Administrative Research Technical Support Research Groups Funding News and Events Events Calendar Colloquia Announcements Jobs and Internships Faculty Search Staff Search Resources MENU - Home - About - - The Department - - Facilities - - Contact Us - - Visitor Information - Academics - - Admissions - - Student Funding - - Undergraduate Programs - - Graduate Programs - - Honors Program - - Certificate Programs - - - Undergraduate - - - Graduate - - Program of Study - - Courses - - - Undergraduate - - - Graduate - - Course Schedule - People - - Faculty - - - Full-time - - - Part-time - - - Retired - - Staff - - - Administrative - - - Research - - - Technical Support - Research - - Groups - - Funding - News and Events - - Events Calendar - - Colloquia - - Announcements - - Jobs and Internships - - Faculty Search - - Staff Search - Resources Home People Gemma Galecia Gemma Galecia Title Graduate Program Secretary Office S-3-181 Phone 617.287.6441 Email ggalecia "at" cs.umb.edu About The Department Facilities Contact Us Visitor Information Academics Admissions Student Funding Undergraduate Programs Graduate Programs Honors Program Certificate Programs Program of Study Courses Course Schedule People Faculty Staff Research Groups Funding News and Events Events Calendar Colloquia Announcements Jobs and Internships Faculty Search Staff Search Resources Answers to FAQs Office Hours Academic Calendar CS Department IT Policies and Procedures VMware Dreamspark/Microsoft Imagine University of Massachusetts Boston 100 Morrissey Boulevard Boston, MA 02125 617.287.6441 csinfo "at" cs.umb.edu This page was last modified on October 15, 2012 2012 University of Massachusetts Boston Template by OS Templates diff --git a/src/data/compiled_bios/1181.txt b/src/data/compiled_bios/1181.txt new file mode 100644 index 0000000000..8b693d19f3 --- /dev/null +++ b/src/data/compiled_bios/1181.txt @@ -0,0 +1 @@ +"Any technology distinguishable from magic is insufficiently advanced." - Cleon I Just junk, really. Things I'm looking into or have to look back at from time to time. mod_auth article from Apache Week. Majordomo FAQ from version 1.94.4. (A dated but local copy.) Try Me! An example cgi-over-perl script. Try Me! This should work on math. donotcall.gov DoNotCall Complaint Wizard Here is an example of a Server Side Include (SSI): The current time is Monday, 18-Feb-2019 01:29:16 EST diff --git a/src/data/compiled_bios/1182.txt b/src/data/compiled_bios/1182.txt new file mode 100644 index 0000000000..03cf09b241 --- /dev/null +++ b/src/data/compiled_bios/1182.txt @@ -0,0 +1 @@ +Home Contact Us Portal Login FAQs Department of Computer Science College of Science and Mathematics Home About The Department Facilities Contact Us Visitor Information Academics Admissions Student Funding Undergraduate Programs Graduate Programs Honors Program Certificate Programs Undergraduate Graduate Program of Study Courses Undergraduate Graduate Course Schedule People Faculty Full-time Part-time Retired Staff Administrative Research Technical Support Research Groups Funding News and Events Events Calendar Colloquia Announcements Jobs and Internships Faculty Search Staff Search Resources MENU - Home - About - - The Department - - Facilities - - Contact Us - - Visitor Information - Academics - - Admissions - - Student Funding - - Undergraduate Programs - - Graduate Programs - - Honors Program - - Certificate Programs - - - Undergraduate - - - Graduate - - Program of Study - - Courses - - - Undergraduate - - - Graduate - - Course Schedule - People - - Faculty - - - Full-time - - - Part-time - - - Retired - - Staff - - - Administrative - - - Research - - - Technical Support - Research - - Groups - - Funding - News and Events - - Events Calendar - - Colloquia - - Announcements - - Jobs and Internships - - Faculty Search - - Staff Search - Resources Home People Antonio Pera Antonio Pera Title System/Network Support Specialist Office S-3-133 Phone 617.287.6482 Email apera "at" cs.umb.edu About The Department Facilities Contact Us Visitor Information Academics Admissions Student Funding Undergraduate Programs Graduate Programs Honors Program Certificate Programs Program of Study Courses Course Schedule People Faculty Staff Research Groups Funding News and Events Events Calendar Colloquia Announcements Jobs and Internships Faculty Search Staff Search Resources Answers to FAQs Office Hours Academic Calendar CS Department IT Policies and Procedures VMware Dreamspark/Microsoft Imagine University of Massachusetts Boston 100 Morrissey Boulevard Boston, MA 02125 617.287.6441 csinfo "at" cs.umb.edu This page was last modified on August 26, 2013 2013 University of Massachusetts Boston Template by OS Templates diff --git a/src/data/compiled_bios/1183.txt b/src/data/compiled_bios/1183.txt new file mode 100644 index 0000000000..231f6ea6d0 --- /dev/null +++ b/src/data/compiled_bios/1183.txt @@ -0,0 +1 @@ +Home Contact Us Portal Login FAQs Department of Computer Science College of Science and Mathematics Home About The Department Facilities Contact Us Visitor Information Academics Admissions Student Funding Undergraduate Programs Graduate Programs Honors Program Certificate Programs Undergraduate Graduate Program of Study Courses Undergraduate Graduate Course Schedule People Faculty Full-time Part-time Retired Staff Administrative Research Technical Support Research Groups Funding News and Events Events Calendar Colloquia Announcements Jobs and Internships Faculty Search Staff Search Resources MENU - Home - About - - The Department - - Facilities - - Contact Us - - Visitor Information - Academics - - Admissions - - Student Funding - - Undergraduate Programs - - Graduate Programs - - Honors Program - - Certificate Programs - - - Undergraduate - - - Graduate - - Program of Study - - Courses - - - Undergraduate - - - Graduate - - Course Schedule - People - - Faculty - - - Full-time - - - Part-time - - - Retired - - Staff - - - Administrative - - - Research - - - Technical Support - Research - - Groups - - Funding - News and Events - - Events Calendar - - Colloquia - - Announcements - - Jobs and Internships - - Faculty Search - - Staff Search - Resources Home People John Lewis John Lewis Title Budget Administrator (retired) Email john.lewis "at" umb.edu About The Department Facilities Contact Us Visitor Information Academics Admissions Student Funding Undergraduate Programs Graduate Programs Honors Program Certificate Programs Program of Study Courses Course Schedule People Faculty Staff Research Groups Funding News and Events Events Calendar Colloquia Announcements Jobs and Internships Faculty Search Staff Search Resources Answers to FAQs Office Hours Academic Calendar CS Department IT Policies and Procedures VMware Dreamspark/Microsoft Imagine University of Massachusetts Boston 100 Morrissey Boulevard Boston, MA 02125 617.287.6441 csinfo "at" cs.umb.edu This page was last modified on August 25, 2017 2017 University of Massachusetts Boston Template by OS Templates diff --git a/src/data/compiled_bios/1184.txt b/src/data/compiled_bios/1184.txt new file mode 100644 index 0000000000..86fcb0452b --- /dev/null +++ b/src/data/compiled_bios/1184.txt @@ -0,0 +1 @@ +Bill Perry's Home Page Access statistics for CS.UMB.EDU Summary Stats Yesterday Weekly My Stats The Happiest Places on Earth! Disneyland Disney World This page is currently (always?) under construction Stay tuned for further developments. Send comments to wperry "at" cs.umb.edu diff --git a/src/data/compiled_bios/1185.txt b/src/data/compiled_bios/1185.txt new file mode 100644 index 0000000000..651e045856 --- /dev/null +++ b/src/data/compiled_bios/1185.txt @@ -0,0 +1 @@ +Eloy RomeroAlcade Postdoctoral Fellow Office :McGlothlin-Street Hall 135 Email : eloy@cs.wm.edu diff --git a/src/data/compiled_bios/1186.txt b/src/data/compiled_bios/1186.txt new file mode 100644 index 0000000000..2d013f86f5 --- /dev/null +++ b/src/data/compiled_bios/1186.txt @@ -0,0 +1 @@ + Timothy A. Davis W&M Computer Science Clemson Webpage CS 243 - Discrete Mathematics CS 304 - Computer Organization Timothy A. Davis Note: This site is not visible to the public - only to site admins. Background I am currently a faculty member in the Department of Computer Science at the College of William and Mary. I received a B.S. from the College of William and Mary, where I double-majored in Computer Science and Mathematics. After completing my Masters in Computer Science at the University of Virginia, I worked for NASA Goddard Space Flight Center as a computer engineer. I then returned to academic study at North Carolina State University, and was awarded a Ph.D. in Computer Science. Afteward, I began working in the School of Computing at Clemson University as an Assistant Professor, and later as an Associate Professor. Academic Interests At Clemson, my primary research focus was computer graphics, with special emphases in parallel rendering and virtual reality. Under two separate NSF grants, we introduced non-trivial graphics problems into the undergraduate curriculum to teach basic concepts in computer science. I was also heavily involved in the Digital Production Arts master's program at Clemson, which teaches students techniques in computer animation for work in the movie and gaming industries. At William and Mary, my primary focus is education across the undergraduate curriculum. Edit this webpage | Main Menu | Logout diff --git a/src/data/compiled_bios/1187.txt b/src/data/compiled_bios/1187.txt new file mode 100644 index 0000000000..0837c2b217 --- /dev/null +++ b/src/data/compiled_bios/1187.txt @@ -0,0 +1 @@ + Jim Deverick Lecturer Department of Computer Science The College of William & Mary 313 McGlothlin-Street Hall +1 757 221 3454 (office) jwdeve@wm.edu Full CV (PDF updated 18 August 2015) Spring 2018 Schedule MW 1400-1520 Lecture TR 0930-1050 Lecture TR 1230-1350 Lecture T 1700-1850 Lecture T 1400-1530 Office W 1200-1330 Office any time by appointment diff --git a/src/data/compiled_bios/1188.txt b/src/data/compiled_bios/1188.txt new file mode 100644 index 0000000000..c884920155 --- /dev/null +++ b/src/data/compiled_bios/1188.txt @@ -0,0 +1 @@ + Dmitry Evtyushkin Publications Service Teaching About About me I am an assistant professor in the Department of Computer Science at College of William and Mary . My research is in computer systems security , specifically in architectural support for security , side and covert channels and isolated execution . I received a Ph.D. degree in Computer Science from Binghamton University where I worked under the supervision of prof. Dmitry Ponomarev (Binghamton University) and prof. Nael Abu-Ghazaleh (UC Riverside). I received my BS/MS from Moscow Institute of Electronics and Mathematics . I am broadly interested in cybersecurity and computer architecture, including: various topics in computer architecture, high performance computing, malware detection, virtualization and operating systems. Looking for self-motivated students! If you are interested to work with me on cutting edge research in computer security, please send me an email or stop by my office! Contacts Email: devtyushkin@wm.edu [ PGP key ] Office: McGlothlin-Street Hall 111, Williamsburg, VA 23187 Phone: (757)221-3465 Twitter: dimonoid 2019 Dmitry Evtyushkin diff --git a/src/data/compiled_bios/1189.txt b/src/data/compiled_bios/1189.txt new file mode 100644 index 0000000000..a5a0658adb --- /dev/null +++ b/src/data/compiled_bios/1189.txt @@ -0,0 +1 @@ + Shuyin Jiao Lecturer Department of Computer Science College of William and Mary Office: McGlothlin-Street Hall 140 Phone: 757-221-3644 Email: sjiao (at) wm (.) edu Education PhD, University of Houston, Houston, USA MS, Ecole Centrale de Lyon, Ecully, France BS, Beihang University, Beijing, China Teaching Spring 2019 Office Hours: MW 13:30-15:00 CSCI 141-01 Computational Problem Solving (TR 11:00-12:20) CSCI 141-02 Computational Problem Solving (TR 14:00-15:20) CSCI 141-03 Computational Problem Solving (MW 15:30-16:50) diff --git a/src/data/compiled_bios/119.txt b/src/data/compiled_bios/119.txt new file mode 100644 index 0000000000..6e16019fc2 --- /dev/null +++ b/src/data/compiled_bios/119.txt @@ -0,0 +1 @@ + Joan Feigenbaum Grace Murray Hopper Professor of Computer Science Yale University, New Haven CT, USA Short Bio Contact Information Yale-CS Theory Group Selected Research Projects Selected Publications Selected Talks Former PhD Students Selected Professional-Service Activities Courses Full Curriculum Vitae Full Publication List Family Final Thoughts on ACM STOC 2013 Open letter from US cryptography and security researchers about the NSA controversy Statement On Mass Surveillance by the International Association for Cryptologic Research diff --git a/src/data/compiled_bios/1190.txt b/src/data/compiled_bios/1190.txt new file mode 100644 index 0000000000..5767f6b219 --- /dev/null +++ b/src/data/compiled_bios/1190.txt @@ -0,0 +1 @@ + Home Publications Talks Software Teaching Service Misc. Research Group Welcome to Adwait's Homepage Adwait Jog, Ph.D. (Penn State) Assistant Professor Department of Computer Science College of William & Mary McGlothlin-Street Hall 111 Williamsburg, VA 23187 ajog@wm.edu , Google Scholar Profile Twitter handle: @adwaitjog About I am an assistant professor in the Department of Computer Science at College of William & Mary (W&M) in Virginia, USA. At W&M, I am leading the Insight Computer Architecture Lab . Our goal is to generate insights, which would help in architecting future computers that are more energy-efficient, capable, reliable, and secure. I am always looking for self-motivated and talented students to join my lab. We have several funded RA positions. Send me a brief email to start the conversation. All graduate admissions are formally managed by W&M CS department . Recent News I will be co-chairing (with Onur Kayiran) the 12th Workshop on General Purpose Processing Using GPU (GPGPU 2019) to be held in conjunction with ASPLOS 2019 . I gave talks in India at Intel Labs, Microsoft Research, and Indian Institute of Science (IISc) related to our recent MICRO and HPCA 2018 papers. Slides are available here . I am invited to serve on the Sigmetrics 2019 , ICCD 2019 , and HPDC 2019 program committees, and HPCA 2019 external program committee. Submit your best work! I gave an invited talk titled Breaking the Memory Wall in Current and Emerging Accelerators at the University of Pittsburgh. Mohamed Ibrahim will be presenting our poster at the ACM SRC competition to be held at MICRO18 . Hongyuan Liu will be presenting our recent MICRO18 paper on efficiently executing large-scale automata. Mohamed Ibrahim and Haonan Wang are back in the lab from summer internships at AMD Research and Pacific Northwest National Laboratory (PNNL), respectively. Gurunath Kadam will be completing a co-op at Intel Labs this Fall. Two papers accepted at MICRO18 . These two papers cover two different topics: a) architectural support for efficient large-scale automata processing, and b) practical GPU reliability analysis. Congratulations to my students and collaborators. I am serving as a publicity chair for CGO19 . The conference website and call for papers is up! ACACES 2018 course website is up with the lecture material. This short GPU course is a part of the computer architecture summer school organized annually by HiPEAC. Research Funding My research group is currently supported by the following research grants: NSF CAREER Award 2018 . News in the Media. Thanks NSF! NSF SHF Award 2017 . Thanks NSF! NSF CRII Award 2017 . Thanks NSF! NVIDIA Equipment Donation. Thanks NVIDIA! Selected Publications ( complete list ) (MICRO 2018) Architectural Support for Efficient Large-Scale Automata Processing (MICRO 2018) Fault Site Pruning for Practical Reliability Analysis of GPGPU Applications (HPCA 2018) Efficient and Fair Multi-programming in GPUs via Effective Bandwidth Management (HPCA 2018) RCoal: Mitigating GPU Timing Attack via Subwarp-based Randomized Coalescing Techniques (ASPLOS 2018) MASK: Redesigning the GPU Memory Hierarchy to Support Multi-Application Concurrency (HPCA 2017) Controlled Kernel Launch for Dynamic Parallelism in GPUs (MICRO 2016) Zorua: A Holistic Approach to Resource Virtualization in GPUs (PACT 2016) Scheduling Techniques for GPU Architectures with Processing-In-Memory Capabilities (PACT 2016) C-States: Fine-grained GPU Datapath Power Management (SIGMETRICS 2016) Exploiting Core Criticality for Enhanced GPU Performance (ISCA 2015) A Case for Core-Assisted Bottleneck Acceleration in GPUs: Enabling Flexible Data Compression with Assist Warps (MICRO 2014) Managing GPU Concurrency in Heterogeneous Architectures (PACT 2014) Trading Cache Hit Rate for Memory Performance (PACT 2013) Neither More Nor Less: Optimizing Thread-level Parallelism for GPGPUs (ISCA 2013) Orchestrated Scheduling and Prefetching for GPGPUs (ASPLOS 2013) OWL: Cooperative Thread Array Aware Scheduling Techniques for Improving GPGPU performance (DAC 2012) Cache Revive: Architecting Volatile STT-RAM Caches for Enhanced Performance in CMPs Teaching ( complete list ) I am teaching CSCI 674, GPU Architectures (graduate course) in Spring 2019. Program and Organization Committees ( complete list ) Publicity Chair, CGO 2019 Invited to be on the Program Committees of Sigmetrics 2019, HPCA 2019 (ERC), ICCD 2018, SBAC-PAD 2018, IISWC 2018, NAS 2018. Submit your best work! Local Arrangements Chair, ASPLOS 2018 Outreach Co-organized second version of the workshop on minimizing data movement ( Min-Move 2018 ). It was co-located with ASPLOS 2018 .The workshop was a great success. Delivered a talk titled Computer Science: Myths, Challenges, and Opportunties to high school students attending Focusing on the Future (FOF) conference organized by School of Education, W&M. Co-organized a workshop on minimizing data movement ( Min-Move 2017 ) co-located with PACT 2017. The workshop was a great success. Delivered as a talk on Career Opportunities in CS to middle school students attending Focusing on the Future (FOF) conference organized by School of Education, W&M. Page generated 2019-02-03 17:38:51 EST, by jemdoc+MathJax . diff --git a/src/data/compiled_bios/1191.txt b/src/data/compiled_bios/1191.txt new file mode 100644 index 0000000000..161922797b --- /dev/null +++ b/src/data/compiled_bios/1191.txt @@ -0,0 +1 @@ + Peter Kemper Associate Professor Department of Computer Science College of William and Mary P.O. Box 8795 Williamsburg, VA 23187-8795 McGlothlin-Street Hall, #104A Phone: 757-221-3462 Fax: 757-221-1717 Email: kemper at cs.wm.edu Research Interests Modeling, Techniques and Tools for Simulation and Optimization of Discrete Event Systems, Stochastic Models for Performance and Dependability Analysis, Human-Computer Interfaces, Brain-Computer Interfaces, Software Development, Analysis Techniques for Spatial-Temporal Data Teaching CS420 Entrepreneurship and Computer Science (Summer 2017, Spring 2018) CS420 Human Computer Interface Design (Spring 2016) CS301, Software Development (Fall 2006,07,08,10,11,12,13,14,15,16,17, Spring 2012, Summer 2015,16,17), see outstanding student results at F2014 Hall of Fame CS435/535 Software Engineering (Spring 2014) CS626, Data Analysis and Simulation (Spring 2013, Spring 2011) CS654, Advanced Computer Architecture (Spring 2009) CS780, Discrete State Models (Spring 2008) CS616, Stochastic Models in Computer Science (Fall 2007) CS780, Debugging Simulation Models (Spring 2007) Advising CS major or minor, possible schedules : different variants of academic plans towards a major or minor in CS, e.g. how to get a CS major in 3 semesters, 4, 5, 6, or 7 semesters. WM student chapter of the Association for Computing Machinery (ACM) : highly recommended for students interested in CS Charles Center at WM : check for scholarships in general and research experiences for undergrads (REUs) at WM in the summer in particular. The application deadline is always early in spring, e.g. March 2, 2016! Grace Hopper Conference : great opportunity for female CS students. GHC is the world's largest gathering of women technologists (about 15000 participants, October 2016, Houston, TX). The CS departments sends a team of students each year! Send an email to kemper at cs.wm.edu if you are interested. GHC applications for scholarships are due early in spring, e.g. March 30, 2016! Recent activities in Conferences & Workshops Annual IEEE/IFIP Int. Conf. on Dependable Systems and Networks (DSN) , DSN-PDS: PC Chair 2013, PC Member: 2007,08,09,12 Int. Conf. on Quantitative Evaluation of Systems (QEST) : General Co-Chair 2010, Steering Committee: 2004,07-09,12-15, PC Member: 2005,06,07,09,10,12,13 Winter Simulation Conference (WSC) : Track Co-Chair Simulation Methods and Tools 2012, Track PC Member: 2012,13 Int. Workshop on the Numerical Solutions of Markov Chains (NSMC) : PC Member: A.A. Markov Anniversary Meeting 2006, 2010 Int. Conf. on the Application and Theory of Petri Nets (ATPN) : PC Member: 2007,08 Int. GI/ITG Conf. on Measurement, Modelling and Evaluation of Computing Systems (MMB) : PC Member 2006,12 Int. Workshop on Biological Processes and Petri Nets (BioPPN) : PC Member 2010,11,12,13 Int. Workshop on Petri Nets and Software Engineering (PNSE) : PC Member 2010,11,12,13 Int. Workshop on Quantitative Models for Performance and Dependability (QPMD) : PC Member 2012 Int. Workship on Practical Applications of Stochastic Modelling (PASM) : PC Member 2009,11 Int. ICST Conf. on Simulation Tools and Techniques (SimuTools) : PC Member 2008,11,12,13 Int. Workshop on Petri Net Tools and Applications (PNTAP) : PC Member 2008 Conf. on Simulation and Visualization (SimVis) : PC Member 2005,06,07 Projects at the College of William and Mary Traviando: Trace Analysis of Discrete Event Systems Stochastic Models of Signaling Complexes Stochastic Workload Models of Storage Systems and Networks Networks of Weighted Automata at Universitaet Dortmund, Germany 1998, DAAD-funded bilateral Vigoni Project in cooperation with S. Donatelli , Universita di Torino, Italy, on "Modelling and analysis of complex systems with hierarchical Petri nets" 1998-2006, DfG-funded Sonderforschungsbereich 559 , "Modelling of large logistics networks", Project M2 , "Efficient Analysis techniques" in cooperation with P. Buchholz , Universitaet Dortmund, Germany 2003-2005, DAAD/NSF-funded bilateral Project in cooperation with W. H. Sanders , University of Illinois at Urbana Champaign, on "On the Analysis of Multi-Paradigm Models of Mobius with Techniques Based on Kronecker Representation" 2004-2006, Research group, Holistic Modeling of Discrete Event Systems , funded by DoMuS, Universitaet Dortmund, Germany Publications there is also an (incomplete) list of publications in the DLDB database and by a search at Google scholar. diff --git a/src/data/compiled_bios/1192.txt b/src/data/compiled_bios/1192.txt new file mode 100644 index 0000000000..ed8307f0a7 --- /dev/null +++ b/src/data/compiled_bios/1192.txt @@ -0,0 +1 @@ + R M Lewis: Home home research publications all publications direct search office hours teaching Python notes Make Windows useful! CSCI 303, Algorithms CSCI 416, Machine Learning Robert Michael Lewis Chair, Department of Computer Science Department of Computer Science College of William & Mary P.O. Box 8795 Williamsburg, VA 23187-8795 rmlewi@wm.edu My office McGlothlin-Street Hall 329 Phone: +1-757-221-2032 CS department office McGlothlin-Street Hall 126 Phone: +1-757-221-3455 I will probably get my website in shape sometime after my term as chair ends on June 30, 2022. In the meantime, here is my Google Scholar entry . Last updated at 10:40:32 on Sunday, January 20, 2019. Copyright Robert Michael Lewis. All Rights Reserved. diff --git a/src/data/compiled_bios/1193.txt b/src/data/compiled_bios/1193.txt new file mode 100644 index 0000000000..c1af754b1c --- /dev/null +++ b/src/data/compiled_bios/1193.txt @@ -0,0 +1 @@ + Qun Li Professor of Computer Science IEEE Fellow Publications Teaching ACM/IEEE HotWeb 2017 , San Jose, CA, 10/14/2017 I am a professor of Department of Computer Science at the College of William and Mary , and served as the graduate director of the department in 2010-2011. I got my PhD from Dartmouth College under the supervision of Daniela Rus . My recent research focuses on wireless, mobile, and embedded systems, including pervasive computing, smart phones, energy efficiency, smart grid, smart health, cognitive radio, wireless LANs, mobile ad-hoc networks, sensor networks, and RFID systems. It involves building and simulating prototype systems, and conducting real experiments and measurements. Check out our recent papers here . I am current working with brilliant PhD students Zhengrui Qin , Ed Novak , Nancy Carter , Zijiang Hao , and Yutao Tang. I am interested in motivated students who would like to work on operating systems, algorithms, networking, security and privacy in the context of pervasive, mobile, wireless computing systems. Recently PhD graduated: Fengyuan Xu, Wei Wei, Hao Han, Yifan Zhang. I am the recipient of a NSF Career Award and an IEEE Fellow. I am the Founder and Director of the Wireless Networking Laboratory . I have published more than 90 international journal articles, book chapters, conference/workshop papers, and technical reports. Many of them are published in prestigious conferences and journals in wireless networking systems and pervasive computing ( ICSE'16 , Ubicomp'15 , NSDI'13 , Mobisys'13 , Mobisys'12 , Ubicomp'13 , Pervasive'08 , Mobihoc'13 , Mobihoc'08 , Mobihoc'07 , Mobihoc'06 , Mobicom'03 , Mobicom'01 , Mobicom'00 , and Infocom'16, 15, 14, 13, 12, 11, 10, 09, 08, 06, 04). I was the program co-chair for IEEE Globecom Symposium of Next Generation Networking in 2011, IEEE ICCCN Track on Wireless Networks and Emerging Technologies in 2010, IEEE International Conference on Networking, Architecture, and Storage in 2010, International Conference on Wireless Algorithms, Systems, and Applications in 2007; student travel grant co-chair for IEEE Infocom in 2013, work-in-program track chair of DCOSS 2009, publication co-chair of IEEE Infocom in 2009, and financial co-chair of IEEE HPSR in 2008. I also served as TPC member for numerous conferences and workshops and on the editorial board of IEEE Transactions on Wireless Communications. To add more information :-), my Erds number is 3. My google scholar link is here . NEW : ACM Workshop on Mobile Big Data (Mobidata 2015) (with updated program), Hangzhou, China, 6/21/2015. Submission deadline 3/9/2015 ACM/IEEE HotWeb 2017 , San Jose, CA, 10/14/2017. Submission deadline 6/20/2017. Classes for this semester: Wireless Networking Group Publications ( by year ) Teaching Professional Services WM facts Links Qun Li Department of Computer Science McGlothlin-Street Hall College of William and Mary Williamsburg, VA 23187-8795 Tel: 757-221-3478 (O) Fax: 757-221-1717 E-mail: user: liqun domain: cs.wm.edu Direction to WM --------------------------------------------------------------------------------------------- Haodong's WM-ECC implementation is available upon request now. His implementation is one of the most efficient ECC packages on sensor Motes. Many universities are using our implementation. Here are the performance data on three platforms: Tmote Sky (8MHz): ECDSA Signature: 0.77s, ECDSA Verification: 1.12s MicaZ (4MHz): ECDSA Signature: 1.35s, ECDSA Verification: 1.96s TelosB (4MHz): ECDSA Signature: 1.55s, ECDSA Verification: 2.25s --------------------------------------------------------------------------------------------- News: Our undergraduate student Harry Gao has been selected as a Finalist in the Computing Research Association's Outstanding Undergraduate Researcher Award competition for 2011. Congratulations! Haodong Wang joined Cleveland State University as an Assistant Professor. Bo Sheng joined UMASS Boston as an Assistant Professor. Chiu C. Tan joined Temple University as an Assistant Professor. Fengyuan Xu joined NEC Labs at Princeton as a Research Staff Member. Hao Han joined IAI as a Research Scientist. Wei Wei joined AOTO in Beijing as the company leader. Yifan Zhang joined SUNY Binghamton as an Assistant Professor. diff --git a/src/data/compiled_bios/1194.txt b/src/data/compiled_bios/1194.txt new file mode 100644 index 0000000000..61fb6c86dc --- /dev/null +++ b/src/data/compiled_bios/1194.txt @@ -0,0 +1 @@ + Xu Liu Assistant Professor Department of Computer Science College of William and Mary Office: McGlothlin-Street Hall 117 Phone: (757) 221-7739 Email: xl10 (at) cs (.) wm (.) edu Dr. Xu Liu joined Computer Science Department of The College of William and Mary in August 2014. He received Ph.D. from Rice University in 2014, working with Dr. John Mellor-Crummey. Before coming to Rice, he completed his master degree from Institute of Computing Technology, Chinese Academy of Sciences, and bachelor degree from Beihang University. Dr. Xu Lius research interests lie in parallel computing, compiler techniques, and systems. He focuses on developing tool infrastructures to measure and analyze program executions on emerging parallel architectures. The insights obtained can be used to optimize code performance, which not only improves productivities but also reduces energy consumption. We always have openings for self-motivated students who are interested in doing system research. Research Artifacts The artifacts are available. Awards 2019: Best Paper Finalist, PPoPP'19 2018: Best Paper Finalist, IISWC'18 2018: ASPLOS'18 paper nominated to ACM SIGs for CACM Research Highlights 2018: Google Faculty Research Award 2018: Best Paper Award, PPoPP'18 2017: Best Paper Finalist, ASPLOS'17 2017: HiPEAC Paper Award 2015: Best Paper Award, SC'15 2013: Award of Excellence for the internship at Samsung, Austin, TX 2013-2014: The Numerical Algorithms Group (NAG) Fellowship, Rice University 2012-2013: BP Fellowship, Rice University 2011-2012: Schlumberger Fellowship, Rice University Students Shasha Wen (Ph.D., Started in Fall 2013) Probir Roy (Ph.D., Started in Fall 2013) Du Shen (Ph.D., Started in Spring 2014) Qingsen Wang (Ph.D., Started in Fall 2014) Hao Xu (Ph.D., Started in Fall 2014) Pengfei Su (Ph.D., Started in Fall 2016) Bolun Li (Ph.D., Started in Fall 2017) Recent and Selected Publications (Full List) [ICSE'19] "Redundant Loads: A Software Inefficiency Indicator", Pengfei Su , Shasha Wen , Hailong Yang, Milind Chabbi, Xu Liu, The International Conference on Software Engineering, May 25 - Jun 1, 2019, Montreal, Canada Acceptance ratio: 21% (109/529). [PPoPP'19] "Lightweight Hardware Transactional Memory Profiling", Qingsen Wang , Pengfei Su , Milind Chabbi, Xu Liu, The 24th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Feb 16-20, 2019, Washington, D.C.. Acceptance ratio: 19% (29/152). Nominated as Best Paper Award. [HPCA'19] "Featherlight Reuse-distance Measurement", Qingsen Wang , Milind Chabbi, Xu Liu, The 25th IEEE International Symposium on High-Performance Computer Architecture, Feb 16-20, 2019, Washington, D.C.. Acceptance ratio: 19.7% (46/233). [CGO'19] "Transforming Query Sequences for High-Throughput B+ Tree Processing on Many-core Processors", Ruiqin Tian, Junqiao Qiu, Zhijiao Zhao, Xu Liu, Bin Ren, The 2019 International Symposium on Code Generation and Optimization, Feb 16-20, 2019, Washington, D.C.. [VLDB'19] "Start Late or Finish Early: A Distributed Graph Processing System with Redundancy Reduction", Shuang Song, Xu Liu, Qinzhe Wu, Andreas Gerstlauer, Tao Li, Lizy John, The Forty-fifth International Conference on Very Large Data Bases, Aug 26-30, 2019, Los Angeles, CA, USA. [IISWC'18] "Tartan: Evaluating Modern GPU Interconnect via a Multi-GPU Benchmark Suite", Ang Li, Shuaiwen Leon Song, Jieyang Chen, Xu Liu, Nathan Tallent, Kevin Barker, 2018 IEEE International Symposium on Workload Characterization, Sep 30-Oct 2, 2018, Raleigh, NC, USA. Nominated as Best Paper Award. [TPDS'18] "LWPTool: A Lightweight Profiler to Guide Data Layout Optimization", Chao Yu, Probir Roy , Yuebin Bai, Hailong Yang, Xu Liu, IEEE Transactions on Parallel and Distributed Systems, 2018. (Chao and Probir are both co-first authors.) [ICS'18] "ProfDP: A Lightweight Profiler to Guide Data Placement in Heterogeneous Memory Systems", Shasha Wen , Lucy Cherkasova, Felix Xiaozhu Lin, Xu Liu, The 32nd ACM International Conference on Supercomputing, Jun 12-15, 2018, Beijing China. Acceptance ratio: 18.7% (36/193). [ICS'18] "Towards Efficient SpMV on Sunway Many-core Architectures", Changxi Liu, Biwei Xie, Xin Liu, Wei Xue, Hailong Yang, Xu Liu, The 32nd ACM International Conference on Supercomputing, Jun 12-15, 2018, Beijing China. Acceptance ratio: 18.7% (36/193). [TACO'18] "NUMA-Caffe: NUMA-Aware Deep Learning Neural Networks", Probir Roy , Shuaiwen Leon Song, Sriram Krishnamoorthy, Abhinav Vishnu, Dipanjan Sengupta, Xu Liu, ACM Transactions on Architecture and Code Optimization, 2018. [ASPLOS'18] "Watching for Software Inefficiencies with Witch", Shasha Wen , Xu Liu, John Byrne and Milind Chabbi, The 23rd International Conference on Architectural Support for Programming Languages and Operating Systems, Mar 24-28, 2018, Williamsburg, VA. Acceptance ratio: 17.5%. Nominated to ACM SIGs for CACM Research Highlights. [PPoPP'18] "Featherlight On-the-Fly False-sharing Detection", Milind Chabbi, Shasha Wen and Xu Liu, The 23rd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Feb 24-28, 2018, Vienna, Austria. Acceptance ratio: 20%. Best Paper Award. [PMAM'18] "An Evaluation of Vectorization and Cache Reuse Tradeoffs on Modern CPUs", Du Shen , Milind Chabbi and Xu Liu, The 2018 International Workshop on Programming Models and Applications for Multicores and Manycores, co-located with PPoPP'18, Feb 24-28, 2018, Vienna, Austria. [CGO'18] "Lightweight Detection of Cache Conflicts", Probir Roy , Shuaiwen Leon Song, Sriram Krishnamoorthy and Xu Liu, The 2018 International Symposium on Code Generation and Optimization, Feb 24-28, 2018, Vienna, Austria. Acceptance ratio: 28%. [CGO'18] "CUDAAdvisor: LLVM-based Runtime Profiling for Modern GPUs", Du Shen , Shuaiwen Leon Song, Ang Li and Xu Liu, The 2018 International Symposium on Code Generation and Optimization, Feb 24-28, 2018, Vienna, Austria. Acceptance ratio: 28%. [CGO'18] "CVR: Efficient SpMV Vectorization on X86 Processors", Biwei Xie, Jianfeng Zhan, Zhen Jia, Wanling Gao, Lixin Zhang and Xu Liu, The 2018 International Symposium on Code Generation and Optimization, Feb 24-28, 2018, Vienna, Austria. Acceptance ratio: 28%. [IPDPS'17] "Dr-BW: Identifying Bandwidth Contention in NUMA Architectures with Supervised Learning", Hao Xu , Shasha Wen , Alfredo Gimenez, Todd Gamblin and Xu Liu, The 31st IEEE International Parallel and Distributed Processing Symposium, May 29-Jun 2, 2017, Orlando, Florida, USA. Acceptance ratio: 23%. [ASPLOS'17] "RedSpy: Exploring Value Locality in Software", Shasha Wen , Milind Chabbi and Xu Liu, The 22nd International Conference on Architectural Support for Programming Languages and Operating Systems, Apr 8-12, 2017, Xi'an, China. Acceptance ratio: 17.4% (56/321). Best Paper Finalist (6 out of 56). [ASPLOS'17] "FLEP: Enabling Flexible and Efficient Preemption on GPUs", Bo Wu, Xu Liu, Xiaobo Zhou and Changjun Jiang, The 22nd International Conference on Architectural Support for Programming Languages and Operating Systems, Apr 8-12, 2017, Xi'an, China. Acceptance ratio: 17.4% (56/321). [ASPLOS'17] "Locality-Aware CTA Clustering For Modern GPUs", Ang Li, Shuaiwen Leon Song, Weifeng Liu, Xu Liu, Akash Kumar and Henk Corporaal, The 22nd International Conference on Architectural Support for Programming Languages and Operating Systems, Apr 8-12, 2017, Xi'an, China. Acceptance ratio: 17.4% (56/321). HiPEAC Paper Award. [PPoPP'17] "An Efficient Abortable-locking Protocol for Multi-level NUMA Systems", Milind Chabbi, Halim Amer, Shasha Wen and Xu Liu, The 22nd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Feb 4-8, 2017, Austin, Texas, USA. Acceptance ratio: 22% (29/132). [ISMM'16] "Characterizing Emerging Heterogeneous Memory", Du Shen , Xu Liu and Felix Xiaozhu Lin, The 2016 ACM SIGPLAN International Symposium on Memory Management, Jun 14, 2016, Santa Barbara, California, USA. [HPDC'16] "SMT-Aware Instantaneous Footprint Optimization", Probir Roy , Xu Liu and Shuaiwen Leon Song, The 25th ACM international Symposium on High-Performance and Distributed Computing, May 31-Jun 4, 2016, Kyoto, Japan. Acceptance ratio: 15.5% (20/129). [ASPLOS'16] "memif: Towards Programming Heterogeneous Memory Asynchronously", Felix Xiaozhu Lin and Xu Liu, The 21st International Conference on Architectural Support for Programming Languages and Operating Systems, Apr 2-6, 2016, Altanta, Georgia, USA. Acceptance ratio: 22% (53/240). [CGO'16] "StructSlim: A Lightweight Profiler to Guide Structure Splitting", Probir Roy and Xu Liu, The 2016 International Symposium on Code Generation and Optimization, Mar 12-18, 2016, Barcelona, Spain. Acceptance ratio: 23% (25/108). [CGO'16] "Cheetah: Detecting False Sharing Efficiently and Effectively", Tongping Liu and Xu Liu, The 2016 International Symposium on Code Generation and Optimization, Mar 12-18, 2016, Barcelona, Spain. (Tongping and Xu are both co-first authors.) Acceptance ratio: 23% (25/108). [SC'15] "ScaAnalyzer: A Tool to Identify Memory Scalability Bottlenecks in Parallel Programs", Xu Liu and Bo Wu, The International Conference for High Performance Computing, Networking, Storage and Analysis, Nov 15-20, 2015, Austin, Texas, USA. Acceptance ratio: 22% (79/358) . Best Paper Award. [PACT'15] "Runtime Value Numbering: A Profiling Technique to Pinpoint Redundant Computations", Shasha Wen , Xu Liu and Milind Chabbi, The 24th International Conference on Parallel Architectures and Compilation Techniques, Oct 18-21, 2015, San Francisco, California, USA. Acceptance ratio: 21% (38/179). [HotCloud'15] "Towards Hybrid Programming in Big Data", Peng Wang, Hong Jiang, Xu Liu, and Jizhong Han, The 7th USENIX Workshop on Hot Topics in Cloud Computing, July 6-7, 2015, Santa Clara, California, USA. Prior to W&M [PACT'14] "ArrayTool: A Lightweight Profiler to Guide Array Regrouping", Xu Liu, Kamal Sharma and John Mellor-Crummey, The 23rd International Conference on Parallel Architectures and Compilation Techniques, Aug 24-27, 2014, Edmonton, Alberta, Canada. [PPoPP'14] "A Tool to Analyze the Performance of Multithreaded Programs on NUMA Architectures", Xu Liu and John Mellor-Crummey, The 19th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, Feb 15-19, 2014, Orlando, Florida, USA. [CGO'14] "Call Paths for Pin Tools", Milind Chabbi, Xu Liu and John Mellor-Crummey, The 2014 International Symposium on Code Generation and Optimization, Feb 15-19, 2014, Orlando, Florida, USA. [SC'13] "A Data-centric Profiler for Parallel Programs", Xu Liu and John Mellor-Crummey, The International Conference for High Performance Computing, Networking, Storage and Analysis, November 17-22, 2013, Denver, Colorado, USA. [ICS'13] "A New Approach for Performance Analysis of OpenMP Programs", Xu Liu, John Mellor-Crummey and Mike Fagan, 27th International Conference on Supercomputing, June 10-14, 2013, Eugene, Oregon, USA. [ISPASS'13] "Pinpointing Data Locality Bottlenecks with Low Overhead", Xu Liu and John Mellor-Crummey, 2013 IEEE International Symposium on Performance Analysis of Systems and Software, April 21-23, 2013, Austin, Texas, USA. [CGO'11] "Pinpointing Data Locality Problems Using Data-Centric Analysis", Xu Liu and John Mellor-Crummey, 2011 International Symposium on Code Generation and Optimization, April 2-6, 2011, Chamonix, France. Teaching CSCI 780 Multi-core Computing [Fall 2018][Fall 2016] CSCI 652 Advanced Compiler Construction [Spring 2018][Spring 2016][Fall 2014] CSCI 312 Principles of Programming Languages [Spring 2019][Fall 2017][Spring 2017][Fall 2015][Spring 2015] Professional Service PC Member: IPDPS'15, LCPC'15 (Poster Session), PPoPP'16 (ERC), ICPP'16, ICPADS'16, CCGRID'17, HPDC'17 (Poster Session), ICPP'17, ASPLOS'18, CGO'18, ICPP'18, ICPP'19, PPoPP'19, CGO'19, SC'19, ISMM'19 Program Chair: HIPS'16 (Colocated with IPDPS'16) Organization Committee: ASPLOS'18 (Local Arrangements Chair) Journal Reviewer: Concurrency and Computation: Practice and Experience, ACM Transactions on Architecture and Code Optimization (TACO), Journal of Parallel and Distributed Computing (JPDC) News : 09/2018: One paper got accepted to VLDB'19, which reduces the redundant computation in graph processing engines. 09/2018: Our IISWC paper on mutli-GPU benchmark suite Tartan is nominated as Best Paper. Try out Tartan . 08/2018: I was invited to give two talks at Intel performance brown bag. I hope these talks can influence the future Intel PMU design. 05/2018: ASPLOS'18 nominated our paper (Witch) to ACM SIGs for CACM Research Highlights. 04/2018: Witch (ASPLOS'18) got featured in the Morning Paper blog and also got discussed in a Chinese blog . 03/2018: Two papers accepted to ICS'18. 02/2018: Received Google Faculty Research Award. 02/2018: Our PPoPP'18 paper received the Best Paper Award. 01/2018: 1 paper accepted to PMAM located with PPoPP'18. We have demonstrated the tradeoff between SIMD and locality. 12/2017: 1 paper accepted to PPoPP'18. We have designed an extremely lightweight profiler to identify false sharing between threads and processes. 11/2017: 1 paper accepted to ASPLOS'18. We have designed a new profiling framework in this work. 10/2017: 3 papers accepted to CGO'18. 09/2017: SciDAC 4 got funded from DOE. 02/2017: Our RedSpy paper was nominated as the best paper at ASPLOS'17. 02/2017: We will hold a tutorial at CGO'17 about CCTLib. 01/2017: Our paper on leveraging machine learning techniques to understand bandwidth contention got accepted to IPDPS'17. 11/2016: OpenMP Tools API (OMPT) was accepted to OpenMP 5.0. I was involved in designing OMPT and the first performance tool based on it. Refer to our ICS'13 paper. 11/2016: Want to try a highly efficient abortable lock? Refer to our PPoPP'17 paper. 11/2016: Three papers got accepted to ASPLOS'17. Topics cover value profiling, GPU preemption, and GPU locality. 08/2016: A collaborative grant with Felix Lin (Purdue) is funded by NSF. 04/2016: Want to see the data placement in a real system with heterogeneous memory? Refer to our ISMM'16 paper. 03/2016: False sharing can improve performance!! Refer to our HPDC'16 paper. 11/2015: Our SC'15 paper received the Best Paper Award. 11/2015: Our paper on efficient data movement in heterogeneous memory got accepted to ASPLOS'16. 11/2015: Two papers got accepted to CGO'16. 08/2015: The first paper by my student was accepted to PACT'15. 07/2015: My first independent work was accepted to SC'15 and nominated as the best paper. 03/2015: A sole-PI NSF proposal was awarded. diff --git a/src/data/compiled_bios/1195.txt b/src/data/compiled_bios/1195.txt new file mode 100644 index 0000000000..0a38f5ab7f --- /dev/null +++ b/src/data/compiled_bios/1195.txt @@ -0,0 +1 @@ + Zhenming Liu Department of Computer Science The College of William & Mary zliu@cs.wm.edu Bio: I am an Assistant Professor in the Department of Computer Science at the College of William & Mary. Prior to joining W&M, I spent two years as a quant research ( algo trading) in Two Sigma Investments. I received my Ph.D. from Harvard (2012 ), and spent two years as a postdoc at Princeton University. I graduated from the Hong Kong University of Science and Technology with a B.Eng in Computer Science and a minor in Mathematics. Research Interests My research focuses on building algorithmic foundations for large-scale end-to-end machine learning solutions. Our research program consists of two thrusts: 1. Computational learning theory for graphs and time series: we design computationally tractable, statistically sound, and practically relevant learning algorithms for graphs and times series data. 2. Large-scale learning system design and delivery : we design algorithmic tools to power large-scale machine learning systems. Specifically, we design low-cost systems that can train on peta-scale data, and systems that can deliver high-throughput machine learning services. Funding & Industrial Collaborations Our works are currently supported by both government and industrial funds: 1. NSF-1755769: CRII: III: Theory and Practice of Learning on Graphs 2. Rutherford Fellowship at the Alan Turing Institute (UK) 3. Activision/Blizzard gift Selected Publications ( Complete list ) DeepDecision : A Mobile Deep Learning Framework for Edge Video Analytics Xukan Ran, Haoliang Chen, Xiaodan Zhu, Zhenming Liu, Jiasi Chen. In the IEEE Conference on Computer Communications (INFOCOM), 2018 From which world is your graph? Cheng Li, Felix Wong, Zhenming Liu and Varun Kanade . In the 30th Advances in Neural Information Processing Systems, NIPS 2017 On the efficiency of social recommender networks? [best paper runner-up] Felix Ming-Fai Wong, Zhenming Liu, Mung Chiang. In the IEEE Conference on Computer Communications (INFOCOM), 2015 The diffusion of networking technologies Sharon Goldberg and Zhenming Liu In ACM-SIAM Symposium on Discrete Algorithms (SODA), 2013 Why Steiner-tree type algorithms work for community detection Mung Chiang, Henry Lam, Zhenming Liu, Vince Poor In Journal of Machine Learning Research W&CP (AISTATS), 2013 An efficient implementation of one big switch abstraction in Software Defined Networks Nanxi Kang, Zhenming Liu, Jennifer Rexford, David Walker In ACM International Conference on emerging Networking Experiments and Technologies ( CoNEXT ), 2013 [abstract | full paper] Distributed non-stochastic experts Varun Kanade , Zhenming Liu, Bozidar Radunovic In Neural Information Processing Systems Conference (NIPS), 2012 Continuous distributed counting for Non-monotonic streams Zhenming Liu, Bozidar Radunovic , Milan Vojnovic In ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems (PODS), 2012 Chernoff- Hoeffding Bounds for Markov Chains: Generalized and Simplified Kai-Min Chung, Henry Lam, Zhenming Liu, Michael Mitzenmacher In Symposium on Theoretical Aspects of Computer Science (STACS), 2012 diff --git a/src/data/compiled_bios/1196.txt b/src/data/compiled_bios/1196.txt new file mode 100644 index 0000000000..840875928f --- /dev/null +++ b/src/data/compiled_bios/1196.txt @@ -0,0 +1 @@ + Weizhen Mao Professor College of William and Mary Department of Computer Science P.O. Box 8795 Williamsburg, VA 23187-8795 McGlothlin-Street Hall 114 (757)221-3472 (work) (757)221-1717 (fax) wm@cs.wm.edu Research Current Projects Publication List Teaching CSci 243 Discrete Structures CSci 303 Algorithms CSci 420/520 Topics (Senior/Masters level) CSci 423/523 Finite Automata (Spring 2019) CSci 653 Analysis of Algorithms CSci 663Theory of Computation CSci 680 Topics (Masters and Ph.D. level) CSci 723 Advanced Analysis of Algorithms CSci 780 Topics (Ph.D. level) CS423 Slides CS653 Slides The CS Archive Page Last updated: January 10, 2019. diff --git a/src/data/compiled_bios/1197.txt b/src/data/compiled_bios/1197.txt new file mode 100644 index 0000000000..3281df41e4 --- /dev/null +++ b/src/data/compiled_bios/1197.txt @@ -0,0 +1 @@ +KevinMoran Postdoctoral Fellow Office :McGlothlin-Street Hall 136 Email : kpmoran@cs.wm.edu Office Phone : Webpage : http://www.cs.wm.edu/~kpmoran/ Areas of Specialization Software engineering, maintenance, and evolution; applications of data mining and machine learning to software engineering Education Ph.D., William & Mary diff --git a/src/data/compiled_bios/1198.txt b/src/data/compiled_bios/1198.txt new file mode 100644 index 0000000000..1c05f0c6cc --- /dev/null +++ b/src/data/compiled_bios/1198.txt @@ -0,0 +1 @@ + Adwait Nadkarni Main Navigation Short Bio Research Students Teaching Publications Tools Vita I am an Assistant Professor in the Department of Computer Science at William & Mary . My primary research interests lie in the area of operating systems security . Common themes in my research include IoT security , privacy , and access control . My research seeks to (1) evaluate the security of emerging operating platforms, such as IoT and smart homes (e.g., Samsung SmartThings , Works with Nest ), mobile platforms (e.g., Android , iOS ), and (2) create practical and secure defenses for protecting the user and the system through novel policy and enforcement primitives that take advantage of the architectures and unique abstractions of the operating system. Multiple funded positions available: Please send me an email if you are a highly motivated student interested in security research. To work with me you must also be a current or prospective W&M Graduate (or Undergrad) student. Apply to the W&M CS graduate program. (March 1 deadline for Fall). Recent News: December 28, 2018: Our recent investigation on smart home security has received wide press coverage . See the most detailed articles here: Washington Post , Daily Press , The Ambient November 27, 2018: Our paper, A Study of Data Store-based Home Automation , has been accepted for publication at the ACM Conference on Data and Application Security and Privacy ( CODASPY'19 ) November 27, 2018: Our paper, ACMiner: Extraction and Analysis of Authorization Checks in Androids Middleware , has been accepted for publication at the ACM Conference on Data and Application Security and Privacy ( CODASPY'19 ) August 31, 2018: Our proposal on Enabling Systematic Evaluation of the Soundness of Android Security Analysis Techniques has been funded! Thanks NSF! [Abstract] May 20, 2018: Our paper, Discovering Flaws in Security-Focused Static Analysis Tools for Android using Systematic Mutation , has been accepted for publication at the 27th USENIX Security Symposium ( USENIX'18 ) April 10, 2018: Ruhao (Tony) Tang wins the Charles Center Summer Research Scholarship for Summer 2018! Adwait Nadkarni apnadkarni@wm.edu adwaitnadkarni Department of Computer Science The College of William and Mary McGlothlin-Street Hall 104C 251 Jamestown Road Williamsburg, VA - 23187, USA diff --git a/src/data/compiled_bios/1199.txt b/src/data/compiled_bios/1199.txt new file mode 100644 index 0000000000..8b840580a6 --- /dev/null +++ b/src/data/compiled_bios/1199.txt @@ -0,0 +1 @@ + Home Bio Publications CV Contact information Location: Computer Science Department, College of William & Mary McGlothlin-Street Hall 115 Williamsburg, VA, 23187 USA Phone: +1-757-221-3466 Fax: +1-757-221-1717 Email: News 23.10.2018 Our Pacific Graphics 2018 paper on Single Image Surface Appearance Modeling with Self-augmented CNNs and Inexact Supervision is now available. 25.10.2017 CRF-net: Single Image Radiometric Calibration using CNNs (with code) is now available in the publications section. 22.06.2017 Our SIGGRAPH 2017 paper on recovering spatially varying appearance from a single photograph under unknown lighting is now available. 11.24.2016 Our SIGGRAPH Asia 2016 paper on recovering shape and appearance under unknown illumination is now available. 05.21.2015 Our Radiometric Transfer paper has been accepted to EGSR 2015. Stats: diff --git a/src/data/compiled_bios/12.txt b/src/data/compiled_bios/12.txt new file mode 100644 index 0000000000..7ccc925d8e --- /dev/null +++ b/src/data/compiled_bios/12.txt @@ -0,0 +1 @@ + Roy H Campbell Sohaib and Sara Abbasi Professor 3122 Siebel Center for Comp Sci 201 N. Goodwin Ave. Urbana Illinois 61801 (217) 333-0215 rhc@illinois.edu : Primary Research Area Operating Systems Research Areas Architecture, Compilers, and Parallel Computing Artificial Intelligence Database and Information Systems Distributed Systems Networking Operating Systems Parallel / High-performance Computing Security For more information Research Web Site Roy H. Campbell's home page Education Ph.D., Computer Science, University of Newcastle upon Tyne, May 1977 . Research Interests Problems and techniques of complex computer system organization and software engineering including: cloud computing, software development environments, operating systems, distributed and parallel systems, object-oriented design, networks, real-time systems, programming language design, verification, reliability, abstract data types, synchronization, data bases, security, digital forensics, fault tolerant systems, compilers, machine architecture, digital video and audio networking. Primary Research Area Operating Systems Research Areas Architecture, Compilers, and Parallel Computing Artificial Intelligence Database and Information Systems Distributed Systems Networking Operating Systems Parallel / High-performance Computing Security For more information Research Web Site Roy H. Campbell's home page . Books Edited or Co-Edited (Original Editions) Roy H. Campbell, Charles A. Kamhoua and Kevin A. Kwiat, "Assured Cloud Computing," Wiley-IEEE Computer Society Pr., ISBN 978-1-119-42863-3, Jul 2018 Selected Articles in Journals Nicolas, Aude, Kenna, Kevin P, Renton, Alan E, Ticozzi, Nicola, Faghri, Faraz, Chia, Ruth, Dominov, Janice A, Kenna, Brendan J, Nalls, Mike A, Keagle, Pamela, Rivera, Alberto M, Rheenen, Wouter van, Murphy, Natalie A, Vugt, Joke JFA van, Geiger, Joshua T, Spek, Rick A Van der, Pliner, Hannah A, Smith, Bradley N, Marangi, Giuseppe, Topp, 'Simon D, Abramzon, Yevgeniya, Gkazi, Athina Soragia, Eicher, John D, Kenna, Aoife, Mora, Gabriele, Calvo, Andrea, Mazzini, Letizia, Riva, Nilo, Mandrioli, Jessica, Caponnetto, Claudia, Battistini, Stefania, Volanti, Paolo, Bella, Vincenzo La, Conforti, Francesca L, Borghero, Giuseppe, Messina, Sonia, Simone, Isabella L, Trojsi, Francesca, Salvi, Fabrizio, Logullo, Francesco O, DAlfonso, Sandra, Corrado, Lucia, Capasso, Margherita, Ferrucci, Luigi, Moreno, Cristiane de Araujo Martins, Kamalakaran, Sitharthan, Goldstein, David B, Gitler, Aaron D, Harris, Tim, Myers, Richard M, Phatnani, Hemali, Musunuri, Rajeeva Lochan, Evani, Uday Shankar, Abhyankar, Avinash, Zody, Michael C, Kaye, Julia, Finkbeiner, Steven, Wyman, Stacia K, LeNail, Alex, Lima, Leandro, Fraenkel, Ernest, Svendsen, Clive N, Thompson, Leslie M, Eyk, Jennifer E Van, Berry, James D, Miller, Timothy M, Kolb, Stephen J, Cudkowicz, Merit, Baxi, Emily, Benatar, Michael, Taylor, J Paul, Rampersaud, Evadnie, Wu, Gang, Wuu, Joanne, Lauria, Giuseppe, Verde, Federico, Fogh, Isabella, Tiloca, Cinzia, Comi, Giacomo P, Sorar, Gianni, Cereda, Cristina, Corcia, Philippe, Laaksovirta, Hannu, Myllykangas, Liisa, Jansson, Lilja, Valori, Miko, Ealing, John, Hamdalla, Hisham, Rollinson, Sara, Pickering-Brown, Stuart, Orrell, Richard W, Sidle, Katie C, Malaspina, Andrea, Hardy, John, Singleton, Andrew B, Johnson, Janel O, Arepalli, Sampath, Sapp, Peter C, McKenn, Diane, Yasek, Meraida Polak, Asress, Seneshaw, Al-Sarraj, Safa, 'Andrew King, Claire Troakes, Vance, Caroline, Belleroche, Jacqueline de, Baas, Frank, Asbroek, Anneloor LMA Ten, Muoz-Blanco, Jos Luis, Hernandez, Dena G, Ding, Jinhui, Gibbs, J Raphael, Scholz, Sonja W, Floeter, Mary Kay, Campbell, Roy H, Landi, Francesco, Bowser, Robert, Pulst, Stefan M, Ravits, John M, MacGowan, Daniel JL, Kirby, Janine, Pior, Erik P, Pamphlett, Roger, Broach, James, Gerhard, Glenn, Dunckley, Travis L, Brady, Christopher B, Neil W Kowall, Troncoso, Juan C, Ber, Isabelle Le, Mouzat, Kevin, Lumbroso, Serge, Heiman-Patterson, Terry D, Kamel, Freya, Bosch, Ludo Van Den, Baloh, Robert H, Strom, Tim M, Meitinger, Thomas, Shatunov, Aleksey, Eijk, Kristel R Van, Carvalho, Mamede de, Kooyman, Maarten, Middelkoop, Bas, Moisse, Matthieu, McLaughlin, Russell L, Es, Michael A Van, Weber, Markus, Boylan, Kevin B, Blitterswijk, Marka Van and Rademakers, Rosa. "Genome-wide Analyses Identify KIF5A as a Novel ALS Gene," Neuron, Cell Press, 97, 6, 1268-1283.e6, 2018 Blauwendraat, Cornelis, Faghri, Faraz, Geiger, Joshua T., Nalls, Mike A., Nicolas, Aude, Abramzon, Yevgeniya, Murphy, Natalie A., J. Raphael Gibbs, Ryten, Mina, Ferrari, Raffaele, Houlden, Henry, Pihlstrom, Lasse, Williams, Julie, Morris, Huw R., Lubbe, Steven, Hernandez, Dena G., Mok, Kin Y., Bras, Jose, Guerreiro, Rita, Campbell, Roy H., Traynor, Bryan J., Chia, Ruth, Simn-Snchez, Javier, Consortium, COURAGE-PD, Robak, Laurie, Shulman, Joshua, Rogaeva, Ekaterina, Hardy, John A., Singleton, Andrew B. and Scholz, Sonja W. Title: "NeuroChip, an updated version of the NeuroX genotyping platform to rapidly screen for variants associated with neurological diseases," Journal: Neurobiology of Aging, Elsevier, 2017 Qiaomin Xie, Mayank Pundir, Yi Lu, Cristina L. Abad, Roy Campbell"Pandas: Robust Locality-Aware Scheduling with Stochastic Delay Optimality," IEEE/ACM Transactions on Networking, 2016, pp 1-12 Zachary D. Stephens, Skyler Y. Lee, Faraz Faghri, Roy H. Campbell, Chengxiang Zhai, Miles J. Efron MJ, Ravishankar Iyer, Michael C. Schatz, Saurabh Sinha, Gene E. Robinson. (2015) Big Data: Astronomical or Genomical? PLoS Biol 13(7): e1002195. doi:10.1371/journal.pbio.1002195, July 7, 2015 Abhishek Verma, Ludmila Cherkasova, Roy H. Campbell, "Profiling and evaluating hardware choices for MapReduce environments: An application-aware approach", Perfom. Eval. 79: 2014, pages 328-344. Mirko Montanari, Ellick Chan, Kevin Larson, Wurcherl Yoo, and Roy H. Campbell, "Distributed Security Policy Conformance", Computers & Security , Volume 33, March 2013, pages 28-40. Abhishek Verma, Brian Cho, Nicolas Zea, Indranil Gupta, and Roy H. Campbell, "Breaking the MapReduce Stage Barrier", Cluster Computing , volume 16, issue 1, March 2013, Pages 191-206. Mirko Montanari, Ellick Chan, Kevin Larson, Wucherl Yoo, and Roy H. Campbell, "Distributed Security Policy Conformance", Computers & Security , volume 33, March 2013, pages 28-40. Cristina L. Abad, Mindi Yuan, Chris X. Cai, Yi Lu, Nathan Roberts, and Roy H. Campbell, "Generating Request Streams on Big Data using Clustered Renewal Processes", Performance Evaluation , volume 70, issue 10, October 2013, pages 704-719. Abhishek Verma, Ludmila Cherkasova, and Roy H. Campbell, "Orchestrating an Ensemble of MapReduce Jobs for Minimizing Their Makespan", IEEE Transactions on Dependable and Secure Computing , volume 10, issue 5, September-October 2013, pages 314-327. Roy H. Campbell, Mirko Montanari, and Reza Farivar, "A Middleware for Assured Clouds", Journal of Internet Services and Applications , volume 3, issue 1, May 2012, pages 87-94. Mohamed Bakhouya, Roy H. Campbell, Antonio Coronato, Giuseppe de Pietro, and Anand Ranganathan, "Introduction to Special Section on Formal Methods in Pervasive Computing", ACM Transactions on Autonomous and Adaptive Systems (TASS) , volume 7, issue 1, April 2012, article 6. Jadwiga Indulska, Claudio Bettini, Roy H. Campbell, and Cecilia Mascolo, Editorial, "Pervasive and Mobile Computing", Ninth Annual IEEE International Conference on Pervasive Computing and Communications (PerCom 2011) , volume 7, issue 6, December 2011, pages 641-642. Kyungtae Kang, Won Jong Jeon, Kyung-Joon Park, Roy H. Campbell, Klara Nahrstedt, "Cross-Layer Quality Assessment of Scalable Video Services on Mobile Embedded Systems", IEEE Transactions on Mobile Computing , volume 9, October 2010, pages 1478-1490. Arutyan Avetisyan, Roy H. Campbell, Indranil Gupta, Michael T. Heath, Steven Y. Ko, Gregory R. Ganger, Michael A. Kozuch, David R. O'Hallaron, Marcel Kunze, Thomas T. Kwan, Kevin Lai, Martha Lyons, Dejan S. Milojicic, Hing Yan Lee, Yeng Chai Soh, Ng Kwang Ming, Jing-Yuan Luke, Han Namgoong, "Open Cirrus: A Global Cloud Computing Testbed", IEEE Computer , volume 43, number 4, April 2010, pages 35-43. Zahid Anwar, Mirko Montanari, Alejandro Gutierrez, and Roy H. Campbell, Budget constrained optimal security hardening of control networks for critical cyber-infrastructures, International Journal of Critical Infrastructure Protection, Volume 2, Issue 1-2, Elsevier, May 2009. A. Ranganathan and R. H. Campbell, "What is the complexity of a distributed computing system?" Complexity , vol. 12, pp. 37-45, 2007. C. S. Shankar, A. Ranganathan, and R. H. Campbell, "Towards fault tolerant pervasive computing," Technology and Society Magazine, IEEE, vol. 24, pp. 38-44, 2005. Anand Ranganathan, Chetan Shankar, and Roy Campbell, "Application Polymorphism for Autonomic Ubiquitous Computing," An International Journal, V 1:2/2005, IOS Press (PDF). Fabio Kon, Jeferson Roberto Marques, Tomonori Yamane, Roy H. Campbell, and M. Dennis Mickunas, "Design, Implementation, and Performance of an Automatic Configuration Service for Distributed component Systems," in Software Practice and Experience , V 35:7, pp. 667-703, John Wiley & Sons, Inc. Publisher, May 2005. Anand Ranganathan, Jalal Al-Muhtadi, Roy H. Campbell, Reasoning about Uncertain Contexts in Pervasive Computing Environments, In IEEE Pervasive Computing Magazine, V 3:2, pp. 62-70, April-June 2004. Anand Ranganathan, Robert E. McGrath, Roy H. Campbell, M. Dennis Mickunas, Use of Ontologies in Pervasive Computing Environment, In The Knowledge Engineering Review, V 18:3, pp. 209-220, Cambridge University Press, 2004. Hess, C.K. and R.H. Campbell, An application of a context-aware file system. Pers. Ubiquit. Comput., 2003. 7: p. 339-352. Ranganathan, A. and R.H. Campbell, An Infrastructure for Context-awareness based on First Order Logic. Personal and Ubiquitous Computing, 2003. 7: p. 353-364. Zhaoyu Liu, Roy H. Campbell, M. Dennis Mickunas, Active Security Support for Active Networks, IEEE Transactions on Systems, Man and Cybernetics - PARTC: Applications and Reviews, Vol. 33, No. 4, pp. 432-445, November 2003. Al-Muhtadi, J., D. Mickunas, and R. Campbell, A Lightweight Reconfigurable Security Mechanism for 3G Mobile Devices. IEEE Wireless Communications Magazine, 2002. 9(2). Ranganathan, A., R.H. Campbell, A. Ravi, and A. Mahajan, ConChat: A Context-Aware Chat Program. Pervasive Computing, Mobile and Ubiquitous Systems, 2002. 1(3): p. 51-57. Roman, M., C. Hess, R. Cerqueira, A. Ranganathan, R.H. Campbell, and K. Nahrstedt, Gaia: a middleware platform for active spaces, in ACM SIGMOBILE Mobile Computing and Communications Review. 2002, ACM: New York, USA. 6(4), p. 65-67. Roman, M., C.K. Hess, R. Cerqueira, R.H. Campbell, and K. Narhstedt, Gaia: A Middleware Infrastructure to Enable Active Spaces. IEEE Pervasive Computing, 2002. 1(4): p. 74-83. Manuel Roman, Christopher Hess, Renato Cerqueira, and Roy H. Campbell, "A Systems Approach to Ubiquitous Computing: The Gaia Middleware Operating System," IEEE Distributed Systems Online , March 2002. Fabio Kon, Fabio Costa, Gordon Blair, and Roy H. Campbell, "The Case for Reflective Middleware," Communications of the ACM, V45; 6, pp. 33-38, June 2002. Kon, Fabio, Roy H. Campbell and Klara Nahrstedt, "Using Dynamic Configuration to Manage A Scalable Multimedia Distribution System," 24:105-123, Computer Communication Journal (Special Issue on QoS-Sensitive Distributed Systems and Applications) Elsevier Science Publisher (2001). Francisco J. Ballesteros, Ricardo Jimenez, Marta Patio, Fabio Kon, Sergio Arevalo, and Roy H. Campbell, "Using Interpreted Composite Calls to Improve Operating System Services." 30:6, pp. 589-615, Software, Practice and Experience , John Wiley & Sons, Inc. Publisher, May (2000). Roy H. Campbell, Zhaoyu Liu, M. Dennis Mickunas, Prasad Naldurg, and Seung Yi, "Seraphim: Dynamic Interoperable Security Architecture for Active Networks," IEEE OPENARCH 2000 , Tel-Aviv, Israel, pp. 55-64, March (2000). Fabio Kon and Roy H. Campbell, "Dependence Management in Component-Based Distributed Systems," IEEE Concurrency , 8:1, 26-36, January-March 2000 (2000). Nayeem Islam and Roy H. Campbell, "Latest Developments in Operating Systems," Guest Editors, Communications of the ACM , Vol. 39, No. 9, pp. 38-87, September 1996, (1996). Nayeem Islam and Roy H. Campbell, "Uniform Co-Scheduling Using Object-Oriented Design Techniques," In Journal of Parallel and Distributed Computing , IEEE Computer Society Press (1995). S. Landsberger, W. D. Cizek, and R. H. Campbell, "NADA92: An Automated, User-Friendly Program for Neutron Activation Data Analysis," 2nd International Symposium on Nuclear Analytical Chemistry , June 3-5, 1992, in Journal of Radioanalytical and Nuclear Chemistry , Articles, Vol. 180, No. 1, pp. 55-63, (1994). J. W. Lockwood, H. Duan, J. J. Morikuni, S. M. Kang, S. Akkineni, R. H. Campbell, "Scalable Optoelectronic ATM Networks: The iPOINT Fully Functional Testbed," IEEE Journal of Lightwave Technology , Accepted July 1994. Yet to appear in May 1995 (1995). Roy H. Campbell, Nayeem Islam, David Raila, and Peter Madany, "Designing and Implementing Choices: An Object-Oriented System in C++," Communications of the ACM , pp. 117-126, September 1993 (1993). Roy H. Campbell and Nayeem Islam, "A Technique for Documenting the Framework of an Object-Oriented System," Computing Systems , 6(4), pp. 363-389, Fall 1993 (1993). Andrew Schmidt and Roy Campbell, "Internet Protocol Traffic Analysis with Applications for ATM Switch Design," Computer Communication Review , 23(2):39-46, April 1993 (1993). Nayeem Islam and Roy H. Campbell, "Design Considerations for Shared Memory Multiprocessor Message Systems," submitted to the Special Issue on Measurement and Evaluation of Parallel and Distributed Systems for the IEEE Transactions on Parallel and Distributed Systems , 1992, (3)6:702-711, November 1992, (1992). Roy H. Campbell, Nayeem Islam, and Peter Madany, "Choices, Frameworks and Refinement," Computing Systems , (5)3:217-257, Summer 1992 (1992). Michael H. Comer, Michael W. Condry, Scott Cattanach, Roy Campbell, "Getting the Most for Your Megabit," ACM CCR Journal , pp. 5-12, July 1991 (1991). Gary J. Murakami, Roy H. Campbell, and Michael Faiman, "Pulsar: Non-blocking Packet Switching with Shift-Register Rings," ACM SIGCOMM '90 Symposium, Computer Communications Review , Philadelphia, PA, Vol. 20.4, pp. 145-155, September 24-27, 1990 (1990). R. B. Terwilliger and R. H. Campbell, "ENCOMPASS: an Environment for the Incremental Development of Software," Journal of Systems and Software , 10(1):41-53, July 1989 (1989). R. B. Terwilliger and R. H. Campbell, "PLEASE: Executable Specifications for Incremental Software Development," Journal of Systems and Software , 10(2):97-112 September 1989 (1989). R. H.Campbell, G. Johnston, and V. Russo, "Choices (Class Hierarchical Open Interface for Custom Embedded Systems)," ACM Operating Systems Review , 21(3):9-17 (1987). R. N. Sum Jr., R. H. Campbell and W. J. Kubitz, "An Approach to Operating System Testing," Journal of Systems and Software , V-6:273-284, 1986 (1986). A. Liestman and R. H. Campbell, "A Fault Tolerant Scheduling Problem," IEEE Transactions on Software Engineering, 12(11):1089-1095, November 1986 (1986). R. H. Campbell and B. Randell, "Error Recovery in Asynchronous Systems," IEEE Transactions on Software Engineering , Vol. SE-12, No. 8, pp. 811-826, August 1986 (1986). R. H. Campbell, and W. J. Kubitz, "The Professional Workstation Project," IEEE Computer Graphics and Applications , 6(5):17-24, May 1986 (1986). P. Jalote and R. H. Campbell, "Atomic Actions for Fault-Tolerance using CSP," IEEE Transactions on Software Engineering, Special Issue on Software Reliability - Part II, 12(1), January 1986 (1986). M. S. McKendry , and R. H. Campbell, "A Mechanism for Implementing Language Support in High-Level Languages," Transactions on Software Engineering, 10(3):227-236, Orlando, Florida, May 1984 (1984). R. H. Campbell and R. B. Kolstad, "An Overview of Path Pascal's Design," Sigplan Notices , 15(9):15-24, September, 1980 (1980). P. E. Lauer and R. H. Campbell, "Formal Semantics of a Class of High Level Primitives for Co-ordinating Concurrent Processes," Acta Informatica , No. 5, pp. 297-332 (1975). Articles in Conference Proceedings Babaeizadeh, Mohammad. Chelsea Finn, Dumitru Erhan, Roy H Campbell, Sergey Levine. "Stochastic Variational Video Prediction," arXiv preprint arXiv:1710.11252, 30 Nov 2017. Faghri, Faraz. Sayed Hadi Hashemi, Mohammad Babaeizadeh, Mike A Nalls, Saurabh Sinha, Roy H Campbell. "Toward Scalable Machine Learning and Data Mining: the Bioinformatics Case," arXiv preprint arXiv:1710.00112, 29 Sep 2017. Hashemi, Sayed Hadi. Faraz Faghri, Roy H Campbell, "Decentralized User-Centric Access Control using PubSub over Blockchain," arXiv preprint arXiv:1710.00110, 29 Sep 2017. Sprabery, Read. Konstantin Evchenko, Abhilash Raj, Rakesh B Bobba, Sibin Mohan, Roy H Campbell. "A Novel Scheduling Framework Leveraging Hardware Cache Partitioning for Cache-Side-Channel Elimination in Clouds," arXiv preprint arXiv:1708.09538, 31 Aug 2017, Noghabi, Shadi A. Kartik Paramasivam, Yi Pan, Navina Ramesh, Jon Bringhurst, Indranil Gupta, Roy H Campbell, "Samza: stateful scalable stream processing at LinkedIn," Proceedings of the VLDB Endowment, 10 (12), 1 Aug 2017, pp. 1634-1645. Di Giulio, Carlo . Read Sprabery, Charles Kamhoua, Kevin Kwiat, Roy H Campbell, Masooda N Bashir, "Cloud Standards in Comparison: Are New Security Frameworks Improving Cloud Security?" Cloud Computing (CLOUD), 2017 IEEE 10th International Conference on, 25 June 2017, pp. 50-57. Di Giulio, Carlo. Read Sprabery, Charles Kamhoua, Kevin Kwiat, Roy Campbell, Masooda N Bashir. "IT Security and Privacy Standards in Comparison: Improving FedRAMP Authorization for Cloud Service Providers," Cluster, Cloud and Grid Computing (CCGRID), 2017 17th IEEE/ACM International Symposium on, 14May 2017, 1090-1099. Ramachandran, Prajit. Tom Le Paine, Pooya Khorrami, Mohammad Babaeizadeh, Shiyu Chang, Yang Zhang, Mark A Hasegawa-Johnson, Roy H Campbell, Thomas S Huang. "Fast generation for convolutional autoregressive models," arXiv preprint arXiv:1704.06001, ICLR 2017 Workshop, 20 April 2017. Estrada, Zachary J. Read Sprabery, Lok Yan, Zhongzhi Yu, Roy Campbell, Zbigniew Kalbarczyk, Ravishankar K Iyer. "Using OS Design Patterns to Provide Reliability and Security as-a-Service for VM-based Clouds," Proceedings of the 13th ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environments, 2017/4/8, pp. 157-170. Nguyen, Phuong, Steve Konstanty, Todd Nicholson, Thomas OBrien, Aaron Schwartz-Duval, Tim Spila, Klara Nahrstedt, Roy Campbell, Indranil Gupta, Michael Chan, Kenton McHenry, Normand Paquin. "4CeeD: Real-time Acquisition and Analysis Framework for Materials-related Cyber-Physical Environments," Proc. 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), 2017. Best Paper Award. Di Giulio, Carlo . Read Sprabery, Charles Kamhoua, Kevin Kwiat, Roy Campbell, Masooda Bashir, "Cloud Standards in Comparison Are New Security Frameworks Improving Cloud Security?" IEEE Cloud 2017, Hawaii, June 25-30, 2017 Palmer, Imani . Boris Gelfand, Roy Campbell. "Exploring Digital Evidence with Graph Theory," Annual Conference on Digital Forensics, Security and Law. 9.Daytona Beach, Florida, May 15, 16, 2017 Di Giulio, C., Sprabery, R., Kamhoua, C., Kwiat, K., Campbell, R., Bashir, M. "IT Security and Privacy Standards in Comparison: Improving FedRAMP Authorization for Cloud Service Providers," International Workshop on Assured Cloud Computing and QoS Aware Big Data (WACC 17), Madrid, Spain, May 14 2017 Hashemi, Sayed Hadi, Noghabi, Shadi A., Gropp, William and Campbell, Roy H., "Performance Modeling of Distributed Deep Neural Networks," CoRR, abs/1612.00521, 2017 Zachary J. Estrada, Read Sprabery, Lok Yan, Zhongzhi Yu, Roy Campbell, Zbigniew Kalbarczyk, Ravishankar K. Iyer, "Using OS Design Patterns to Provide Reliability and Security as-a-Service for VM-based Clouds," VEE'17 Proceedings of the 13th ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environments, 2017 Di Giulio, Carlo . Read Sprabery, Charles Kamhoua, Kevin Kwiat, Roy H. Campbell, Masooda N. Bashir, "Cloud Security Certifications: A Comparison to Improve Cloud Service Provider Security," ICC'17, Churchill College, Cambridge, UK, March 22-23, 2017 Sprabery, R. Estrada, Z. Kalbarczyk, Z. Iyer, R. Bobba, R. Campbell, R. "Trustworthy Services Built on Event Based Probing for Layered Defense," International Conference on Cloud Engineering (IC2E), 2017, 215-225 Shadi A. Noghabi, Roy Campbell, Indranil Gupta, "Building a Scalable Distributed Online Media Processing Environment," Proceedings of the VLDB 2016 PhD Workshop, New Delhi, India, 2016 Mohammad Babaeizadeh, Paris Smaragdis, Roy H. Campbell, NoiseOut: A Simple Way to Prune Neural Networks," CoRR, abs/1611.06211, Dec 2016 Shadi A. Noghabi, Sriram Subramanian, Priyesh Narayanan, Sivabalan Narayanan, Gopalakrishna Holla, Mammad Zadeh, Tianwei Li, Indranil Gupta, Roy H. Campbell, "Ambry: LinkedIn's Scalable Geo-distributed Object Store," ACM SIGMOD/PODS Conference, Jun 26th-July 1st, San Francisco, USA, 2016. Chris X. Cai, Franck Le, Xin Sun, Geoffrey Xie, Hanii Jamjoom, Roy H. Campbell, "CRONets: Cloud-Routed Overlay Networks," I36th IEEE International Conference on Distributed Computer Systems (ICDCS 2016), June27th-30th, Nara, Japan, 2016. Chris X. Cai, Shayan Saeed, Indranil Gupta, Roy H. Campbell, Franck Le, "Phurti: Application and Network-Aware Flow Scheduling for Multi-Tenant MapReduce Clusters," IEEE International Conference on Cloud Engineering (IC2E), April 4-8, Berlin, Germany, 2016. Mayank Pundir, Manoj Kumar, Luke M. Leslie, Indranil Gupta, Roy H. Campbell, "Supporting On-demand Elasticity in Distributed Graph Processing, " IEEE International Conference on Cloud Engineering (IC2E), April 4-8, Berlin, Germany, 2016. Sayed Hadi Hashemi, Faraz Faghri, Paul Rausch, Roy H. Campbell , "World of Empowered IoT Users," The 1st IEEE International COnference on Internet-of-Things Design and Implementation, Berlin, Germany, April, 2016. Sayed Hadi Hashemi, Shadi A. Noghabi, John Bellessa, Roy H. Campbell: Toward Fabric: A Middleware Implementing High-level Description Languages on a Fabric-like Network. ANCS 2016: 117-118 Fangzhou Yao, Kevin Chang, and Roy H Campbell, "Ushio: Analyzing News Media and Public Trends in Twitter," 3rd International workshop on Big Data and Social Networking Management and Security (BDSN-2015), December 7-10, 2015, Limassol, Cyprus. Stefan Nagy, Imani Palmer, Sathya Chandran Sundaramurthy, Xinming Ou, Roy Campbell, "An empirical study on current models for reasoning about digital evidence," SADFE 2015 Proceedings, Safe Society Labs, Malaga, Spain, 2015. Boyang Peng, Mohammad Hosseini, Zhihao Hong, Reza Farivar, Roy Campbell, "R-Storm: Resource-Aware Scheduling in Storm," Middleware 2015, Dec 07-11, 2015, Vancouver, BC, Canada, 2015, pages 149-161. Mayank Pundir, Luke M. Leslie, Indranil Gupta, Roy H. Campbell, "Zorro: Zero-Cost Reactive Failure Recovery in Distributed Graph Processing," The ACM Symposium on Cloud Computing SoCC, 2015, pages 195-208. Weijie Liu, Rakesh B. Bobba, Sibin Mohan and Roy H. Campbell, Inter-Flow Consistency: A Novel SDN Update Abstraction for Supporting Inter-Flow Constraints, accepted for 2015 IEEE Conference on Communications and Network Security (CNS) 2015. Weijie Liu, Rakesh B Bobba, Sibin Mohan, Roy H Campbell, Inter-Flow Consistency: Novel SDN Update Abstraction for Supporting Inter-Flow Constraints, SENT 15, San Diego, CA, USA, 8 February 2015. Abhishek Verma, Ludmila Cherkasova, and Roy H. Campbell, "Profiling and Evaluating Hardware Choices for MapReduce Environments: An Application-Aware Approach", 32nd International Symposium on Computer Performance, Modeling, Measurements, and Evaluation (IFIP WG 7.3 Performance 2014), Turin, Italy, October 7-9, 2014. Furquan Shaikh, Fangzhou Yao, Indranil Gupta, Roy H. Campbell, "VMDedup: Memory De-duplication in Hypervisor", IC2E 2014, pages 379-384. Fanghzou Yao and Roy H. Campbell, "CryptVMI: Encrypted Virtual Machine Introspection in the Cloud", 2014 IEEE Seventh International Conference on Cloud Computing , Anchorage, AK, June 30, 2014, pages 977-978. Fangzhou Yao and Roy H. Campbell, "CouchFS: A High-Performance File System for Large Data Sets", 2014 IEEE Second International Congress on Big Data , Anchorage, AK, June 30, 2014, pages 784-785. Jingwei Huang, David M. Nicol, and Roy H. Campbell, "Denial-of-Service Threat to Hadoop/YARN Clusters with Multi-Tenancy", 2014 IEEE Second International Congress on Big Data , Anchorage, AK, June 30, 2014, pages 48-55. Cristina L. Abad, Yi Lu, Roy H. Campbell, and Nathan Roberts, "A Model-Based Namespace Metadata Benchmark for HDFS", International Conference on Autonomic Computing , Philadelphia, PA, June 18-20, 2014, pages 113-119. Fangzhou Yao, Read T. Spraybery, and Roy H. Campbell, "CryptVMI: A Flexible and Encrypted Virtual Machine Introspection in the Cloud", Second International Workshop on Security in Cloud Computing , Kyoto, Japan, June 3, 2014, pages 11-18. Muhammad Salman Malik, Robin Berthier, Rekesh B. Bobba, Roy H. Campbell, and William H. Sanders, "Formal Design of Communication Checkers for ICCP using UPPAAL", IEEE International Conference on Smart Grid Communications (SmartGridComm) , Vancouver, Canada, October 2013, pages 486-491. Muhammad Salman Malik, Mirko Montanari, Jun Ho Huh, Rakesh B. Bobba, and Roy H. Campbell, "Towards SDN Enabled Network Control Delegation in Clouds", 43rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN) , Budapest, Hungary, June 2013, pages 1-6. Mirko Montanari, Jun Ho Huh, Rakesh B. Bobba, and Roy H. Campbell, "Limiting Data Exposure in Monitoring Multi-domain Policy Conformance", 6th International Conference on Trust and Trustworthy Computing (TRUST 2013) , London, UK, June 2013, pages 65-82. Gyorgy Dan, Rakesh B. Bobba, George Gross and Roy Campbell, "Cloud Computing for the Power Grid: From Service Composition to Assured Clouds," 5th USENIX Workshop on Hot Topics in Cloud Computing (HotCloud '13) , San Jose, CA, June 2013. Jun Ho Huh, Mirko Montanari, Derek Dagit, Rakesh B. Bobba, Dong Wook Kim, Yoonjoo Choi and Roy Campbell, "An empirical study on the software integrity of virtual appliances: are you really getting what you paid for?", ACM Symposium on Information, Computer and Communications Security (ASIA CCS '13) , Hangzhou, China, May 2013, pages 231-242. Jon Tedesco, Roman Dudko, Abhishek Sharma, Reza Farivar, and Roy H. Campbell, "Theius: A Streaming Visualization Suite for Hadoop Clusters", IEEE International Conference on Cloud Engineering (IC2E 2013) , Redwood City, CA, March 2013, pages 177-182. Jun Ho Huh, Mirko Montanari, Derek Dagit, Rakesh B. Bobba, Dongwook Kim, Yoonjoo Choi, and Roy H. Campbell, "Assessing Software Integrity of Virtual Appliances through Software Whitelists", 20th Annual Network & Distributed System Security Symposium (NDSS 2013) , San Diego, CA, February 2013. Reza Farivar and Roy H. Campbell: Utilizing Automated Robots to Recalibrate WiFi Fingerprint Maps for Indoor Location Estimation: International Conference on Wireless Networks 2012. Jonathan M. Chu, Mirko Montanari, Roy H. Campbell: A Case for Validating Remote Application Integrity for Data Processing Systems: ISRCS 2012 Abad, C., Lee, K., Roberts, N., Lu, Y., Campbell, R.: A Metadata Workload Generator for Data-Intensive File Systems: FAST 2012 Shu Shi, Klara Nahrstedt, and Roy Campbell. "A real-time remote rendering system for interactive mobile graphics," ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) 8.3s (2012): 46. Abad, C., Luu, H., Roberts, N., Lee, K., Lu, Y., and Campbell, R.: Metadata Traces and Workload Models for Evaluating Big Storage Systems: IEEE UCC 2012 Abad, C., Roberts, N., Lu, Y., and Campbell, R.: A Storage-Centric Analysis of MapReduce Workloads: File Popularity, Temporal Locality and Arrival Patterns: IEEE International Symposium on Workload Characterization 2012 Reza Farivar, Harshit Kharbanda, Shivram Venkatraman, Roy H. Campbell:An Algorithm for Fast Edit Distance Computation on GPUs: IEEE Innovative Parallel Computing 2012 Faraz Faghri, Sobir Bazarbayev, Mark Overholt, Reza Farivar, Roy H. Campbell, William H. Sanders: Failure Scenario as a Service (FSaaS) for Hadoop Clusters: SDMCCMM 2012 Cristina L. Abad, Huong Luu, Nathan Roberts, Kihwal Lee, Yi Lu, Roy H. Campbell: Metadata Traces and Workload Models for Evaluating Big Storage Systems. UCC 2012 : 125-132 Wucherl Yoo, Kevin Larson, Lee Baugh, Sangkyum Kim, Roy H. Campbell: ADP: automated diagnosis of performance pathologies using hardware events. SIGMETRICS 2012 : 283-294 Mirko Montanari, Lucas T. Cook, Roy H. Campbell: Multi-organization Policy-Based Monitoring. POLICY 2012 : 70-77 Abhishek Verma, Ludmila Cherkasova, Vijay S. Kumar, Roy H. Campbell: Deadline-based workload management for MapReduce environments: Pieces of the performance puzzle. NOMS 2012 : 900-905 Abhishek Verma, Ludmila Cherkasova, Roy H. Campbell: Two Sides of a Coin: Optimizing the Schedule of MapReduce Jobs to Minimize Their Makespan and Improve Cluster Performance. MASCOTS 2012 : 11-18 Cristina L. Abad, Nathan Roberts, Yi Lu, Roy H. Campbell: A storage-centric analysis of MapReduce workloads: File popularity, temporal locality and arrival patterns. IISWC 2012 : 100-109 Reza Farivar, Roy H. Campbell: Plasma: Shared Memory Dynamic Allocation and Bank-Conflict-Free Access in GPUs. ICPP Workshops 2012 : 612-613 Mirko Montanari, Jun Ho Huh, Derek Dagit, Rakesh Bobba, Roy H. Campbell: Evidence of log integrity in policy-based security monitoring. DSN Workshops 2012: 1-6 Mirko Montanari, Roy H. Campbell: Confidentiality of event data in policy-based monitoring. DSN 2012: 1-12 Reza Farivar, Anand Raghunathan, Srimat T. Chakradhar, Harshit Kharbanda, Roy H. Campbell: PIC: Partitioned Iterative Convergence for Clusters. CLUSTER 2012 : 391-401 Harshit Kharbanda, Manoj Krishnan, Roy H. Campbell: Synergy: A Middleware for Energy Conservation in Mobile Devices. CLUSTER 2012 : 54-62 Yu Shyang Tan, Bu-Sung Lee, Bingsheng He, Roy H. Campbell: A Map-Reduce Based Framework for Heterogeneous Processing Element Cluster Environments. CCGRID 2012: 57-64 Mohamed Bakhouya, Roy H. Campbell, Antonio Coronato, Giuseppe De Pietro, Anand Ranganathan: Introduction to special section on formal methods in pervasive computing. TAAS 7(1): 6 (2012) Roy H. Campbell, Mirko Montanari, Reza Farivar: A middleware for assured clouds. J. Internet Services and Applications 3(1): 87-94 (2012) Shu Shi, Cheng-Hsin Hsu, Klara Nahrstedt, and Roy Campbell, Using Graphics Rending Contexts to Enhance the real-Time Video Coding for Mobile Cloud Gaming, in Proceedings of the 19th ACM International Conference on Multimedia (MM'11) . December 2011, pp. 103-112. (acceptance rate 17%) Abhishek Verma, Roy H. Campbell, Ludmila Cherkasova, Resource Provisioning Framework for MapReduce Jobs with Performance Goals, in Proceedings of the ACM/IFIP/USENIX 12th International Middleware Conference (Middleware 2011). Lisboa, Portugal, December 2011, pp. 165-186. Abhishek Verma, Roy H. Campbell, Ludmila Cherkasova, Play It Again, SimMR!, in Proceedings of IEEE CLUSTER 2011 . Austin, TX, September 2011, pp. 253-261. Cristina Abad, Yi Lu, Roy H. Campbell, DARE: Adaptive Data Replication for Efficient Cluster Scheduling, in Proceedings of IEEE CLUSTER 2011 . Austin, TX, September 2011, pp. 159-168. Abhishek Verma, Roy H. Campbell, Ludmila Cherkasova, SLO-Driven Right-Sizing and Resource Provisioning of MapReduce Jobs, in Proceedings of the 5th Workshop on Large Scale Distributed Systems and Middleware (LADIS'2011) . Seattle, WA, September 2011. Mirko Montanari, Roy H. Campbell, Attack-resilient Compliance Monitoring for Large Distributed Infrastructure Systems, in IEEE International Conference on Network and System Security (NSS) . September 2011, pp. 192-199. Shu Shi, Klara Nahrstedt, Roy Campbell. Distortion over Latency: Novel Metric for Measuring Interactive Performance in Remote Rendering Systems, in Proceedings of the 2011 IEEE ACM International Conference on Multimedia and Expo (ICME'11) , pp. 1-6, Barcelona, July 2011. Mirko Montanari, Ellick Chan, Kevin Larson, Wucherl Yoo, and Roy Campbell, Distributed Security Policy Conformance, in IFIP Sec 2011 , June 2011. Abhishek Verma, Ludmila Cherkasova, Roy H. Campbell, ARIA: Automatic Resource Inference and Allocation for MapReduce Environments, in International Conference on Autonomic Computing (ICAC) . Karlsruhe, Germany, June 2011, pp. 235-244. (acceptance rate 30%) Wucherl Yoo, Kevin Larson, Sangkyum Kim, Wonsun Ahn, Roy H. Campbell, and Baugh Lee, Automated Fingerprinting of Performance Pathologies Using Performance Monitoring Units(PMUs), in 3rd USENIX Workshop on Hot Topics in Parallelism (HotPar '11) . Berkeley, CA, May 2011. (acceptance rate 28%) Ellick Chan, Shivaram Venkataraman, Nadia Tkach, Kevin Larson, Alejandro Gutierrez, Roy H. Campbell, Characterizing Data Structures for Volatile Forensics, in Systematic Approaches to Digital Forensic Engineering (SADFE) . Oakland, CA, May 2011. Mirko Montanari, Roy H. Campbell, Krishna Sampigethaya, Mingyan Li, A Security Policy Framework for eEnabled Fleets and Airports, in 2011 IEEE Aerospace Conference . Big Sky, MT, March 2011. Shivaram Venkataramn, Niraj Tolia, Parthasarathy Ranganathan, Roy H. Campbell, Redesigning Data Structures for Non-Volatile Byte-Addressable Memory, in 2nd Annual Non-Volatile Memories Workshop. University of California, San Diego, March 2011. Shivaram Venkataraman, Niraj Tolia, Parthasarathy Ranganathan, Roy H. Campbell, Consistent and Durable Data Structures for Non-Volatile Byte-Addressable Memory, in Proceedings of the 9th USENIX Conference on File and Storage Technologies (FAST 2011) . San Jose, California, Feb. 2011, pp. 61-75. (acceptance rate 27%) V.K.Y. Wu and R.H. Campbell, Large-scale Distributed RFID Infrastructures for Pervasive Computing, in NSF Workshop on Pervasive Computer at Scale (PeCS) . Seattle, WA, Jan. 2011. Abhishek Verma, Xavier Llora, Shivaram Venkataram, Goldberg David and Campbell Roy, Scaling eCGA Model Building via Data-Intensive Computing, in 2010 IEEE Congress on Evolutionary Computation . 2010. Wucherl Yoo, Shu Shi, Won J. Jeon, Klara Nahrstedt, Roy H. Campbell, Real-Time Parallel Remote Rendering for Mobile Devices using Graphics Processing Units, in IEEE International Conference on Multimedia and Expo (ICME) 2010 . 2010. (acceptance rate 30%) Ellick Chan, Amey Chaugule, Kevin Larson and Roy Campbell, Performing Live Forensics on Insider Attacks, in Proceedings of the CAE Workshop on Insider Threat . St. Louis, MO, 2010. V.K.Y. Wu and R.H. Campbell, 3D Audio Interface for Rich Mobile Web Experiences, in Proceedings of International Conference on Mobile Computing, Applications, and Services (MobiCASE) . Santa Clara, CA, Oct. 2010. Also in Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (LNICST) , 2010. Ellick Chan, Shivaram Venkataraman, Amey Chaugule and Roy Campbell, Forenscope: A Framework for Live Forensics, in ACSAC . Austin, TX, 2010, pp.307-316. Jones, B.R., Sodhi, R., Campbell, R.H., Garnett, G., Bailey, B.P., Build your world and play in it: Interacting with surface particles on complex objects, in 9th IEEE International Symposium Mixed and Augmented Reality (ISMAR) , Seoul, Korea, October 2010, pp. 165-174. (acceptance rate 18%) Abhishek Verma, Nicolas Zea, Brian Cho, Indranil Gupta, and Roy H. Campbell, Breaking the MapReduce Stage Barrier, in IEEE International Conference on Cluster Computing . Heraklion, Greece, 2010,pp. 235-244. (acceptance rate 30.8%) Shu Shi, Mahsa Kamali, Klara Nahrstedt, John Hart, Roy Campbell, A High-Quality Low-Delay Remote Rendering System for 3D Video, in Proceedings of the 18th ACM International Conference on Multimedia (MM '10) . Firenze, Oct. 2010, p. 601-610. (acceptance rate 41%) Wucherl Yoo, Shu Shi, Won Jeon, Klara Nahrstedt, Roy Campbell, Real-Time Parallel Remote Rendering for Mobile Devices Using Graphics Processing Units, in Proceedings of the 2010 IEEE International Conference on Multimedia and Expo (ICME '10) . Singapore, July 2010, p. 902-907. (acceptance rate: 15%) Rini Kaushik, Ludmila Cherkasova, Roy H. Campbell, Klara Nahrstedt, Lightning: Self-adaptive, Energy-conserving, Multi-zoned, Commodity Green Cloud Storage System, in Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing (HPDC '10) . Chicago, IL, 2010, pp.332-335. (acceptance rate 26%) Mirko Montanari, Roy H. Campbell, Multi-Aspect Security Assessment of Airport Computer Networks, in AIAA Infotech@Aerospace . Atlanta, GA, 2010. Christopher Johnson, Mirko Montanari, Roy H. Campbell, Automatic Management of Logging Infrastructure, in Center for Academic Excellence Workshop on Insider Threat (CAE), St. Louis, MO, 2010 (also invited for the NSA Symposium). Wu, V. and R. Campbell, An RFID Interface for 3D Audio Web Consumption, in IEEE RFID. 2010: Orlando, Florida. (acceptance rate 39 out of 130, 30%) Verma, A., X. Llora, S. Venkataram, D. Goldberg, and R. Campbell, Scaling eCGA Model Building via Data-Intensive Computing, in World Congress on Computational Intelligence CEC. 2010, IEEE Barcelona, Spain, p. 1-8. Abhishek Verma, Xavier Llora, Roy H. Campbell, David E. Goldberg, When Huge is Routine: Scaling Genetic Algorithms and Estimation of Distribution Algorithms via Data-Intensive Computing, in Parallel and Distributed Computational Intelligence , 2010, p. 11-41. Francisco J. Ballesteros, Fabio Kon, Marta Pantino, Ricardo Jimenez, Sergio Arevalo and Roy H. Campbell, Batching: A Design Pattern for Efficient and Flexible Client/Server Interaction, in Transactions on Pattern Languages of Programming . v.5770, p. 48-66. Springer. 2009. Kawaguchi, R., S. Ahmed, A. Unahalekhaka, A. Pan, and R. Campbell, A Market Anywhere: Establishing an SMS-based Virtual Market in Developing Regions, in Globi-Comp. 2009: Orlando, Florida. Jeon, W.J., K. Kang, R.H. Campbell, and K. Nahrstedt, Simulation Framework and Performance Analysis of Multimedia Broadcasting Service over Wireless Networks, in IEEE International Conference on Distributed Systems (ICDCS). 2009: Montreal, Quebec, Canada. p. 93-100. (acceptance rate 74 out of 454, 16.3%) Gutierrez, A., A. Godiyal, M. Stockton, C. Gunter, and R.H. Campbell, Sh@re: Negotiated Audit in Social Networks, in 2009 IEEE International Conference on Systems, Man, and Cybernetics. 2009: San Antonio, Texas. p. 74-79. Farivar, R., D. Wiczer, A. Gutierrez, and R.H. Campbell, A statistical study on the impact of wireless signals' behavior on Location Estimation Accuracy in 802.11 Fingerprinting Systems, in IEEE International Symposium on Parallel and Distributed Processing Symposium. 2009: Rome, Italy. p. 1-8 (acceptance rate 100 out of 440, 22.7%) Reza Farivar, Mirko Montanari, Ellick Chan, and Roy H. Campbell, An Automatic User Study Demo in Indoor Environments and Its Privacy Implications , IEEE International Conference on Pervasive Computing and Communications (PerCom), Galveston, Texas, USA, 2009. (acceptance rate 16%) Riccardo Crepaldi, Mirko Montanari, Shayne Czyzewsky, Roy H. Campbell, and Robin Kravets, Event Detection Using Phenomenon Models, ACM / USENIX MobiSys, Krakaw, Poland, ACM, 2009. (acceptance rate 20%) Mirko Montanari, Roy H. Campbell, Multi-Aspect Security Configuration Assessment, Workshop on Assurable & Usable Security Configuration (SafeConfig), Collocated with ACM CCS 2009, ACM, Chicago, 2009 (acceptance rate 52%) Mirko Montanari, Mingyan Li, Krishna Sampigethaya, and Roy H. Campbell, A Formal Security Model for Networked Control Systems, AIAA InfoTech@Aerospace, Seattle, WA, AIAA, April 2009. Shi, S., Jeon, W. J., Nahrstedt, K., and Campbell, R. H. 2009. M-TEEVE: real-time 3D video interaction and broadcasting framework for mobile devices. In Proceedings of the 2nd international Conference on Immersive Telecommunications (Berkeley, California, May 27 - 29, 2009). International Conference on Immersive Telecommunications. ICST (Institute for Computer Sciences Social-Informatics and Telecommunications Engineering), ICST, Brussels, Belgium, 1-6. (acceptance rate 43%) Shi, S., Jeon, W. J., Nahrstedt, K., and Campbell, R. H. 2009. Real-time remote rendering of 3D video for mobile devices. In Proceedings of the Seventeen ACM international Conference on Multimedia (Beijing, China, October 19 - 24, 2009). MM '09. ACM, New York, NY, 391-400. (acceptance rate 16%) Verma, Abhishek; Llor, Xavier; Goldberg, David E.; Campbell, Roy H., "Scaling Genetic Algorithms Using MapReduce," Intelligent Systems Design and Applications, 2009. ISDA '09. Ninth International Conference on , vol., no., pp.13-18, Nov. 30 2009-Dec. 2 2009. (acceptance rate 249 out of 413, 60.3%) Farivar, R.; Verma, A.; Chan, E.M.; Campbell, R.H., "MITHRA: Multiple data independent tasks on a heterogeneous resource architecture," Cluster Computing and Workshops, 2009. CLUSTER '09. IEEE International Conference on , vol., no., pp.1-10, Aug. 31 2009-Sept. 4 2009. (acceptance rate 43%) Alejandro Gutierrez, Apeksha Godiyal, Matt Stockton, Carl Gunter, Roy H. Campbell, "Sh@re: Negotiated Audit in Social Networks" 2009 IEEE International Conference on Systems, Man, and Cybernetics, San Antonio, Texa pp. 74-79 V.K.Y. Wu and R.H. Campbell, "Using Generalized Query Tree to cope with the Capture Effect in RFID Singulation," in Proc. IEEE Consumer Communications and Networking Conference (CCNC), Las Vegas, NV, Jan. 2009. (acceptance rate 35%) Victor K. Y. Wu, Roy H. Campbell: Password Streaming for RFID Privacy. OTM Workshops 2008. pp. 883-892. (acceptance rate 33%) V.K.Y. Wu and R.H. Campbell, Password Streaming for RFID Privacy, in Proceedings of International Workshop on Pervasive Systems (PerSys) . Monterrey, Mexico, Nov. 2008. Also in Lecture Notes in Computer Science (LNCS) . 2008, vol. 5333, pp. 883-892. Shu Shi, Klara Nahrstedt, Roy H. Campbell: View-dependent real-time 3d video compression for mobile devices. ACM Multimedia 2008 . pp.781-784. (acceptance rate 26%) A. Ranganathan and R. H. Campbell, Provably Correct Pervasive Computing Environments, in Percom 2008 , Hong Kong, 2008, pp. 160-169. (acceptance rate 12%) Reza Farivar, Daniel Rebolledo, Ellick Chan, Roy H. Campbell: A Parallel Implementation of K-Means Clustering on GPUs. PDPTA 2008. pp. 340-345. Francis M. David, Ellick Chan, Jeffrey C. Carlyle, Roy H. Campbell: CuriOS: Improving Reliability through Operating System Structure. OSDI 2008 : pp. 59-72. (acceptance rate 13.5%) Ellick Chan, Jeffrey C. Carlyle, Francis M. David, Reza Farivar, Roy H. Campbell: BootJacker: compromising computers using forced restarts. ACM Conference on Computer and Communications Security 2008 . pp.555-564. (acceptance rate 18%) F. M. David, E. M. Chan, J. C. Carlyle, and R. H. Campbell, Cloaker: Hardware Supported Rootkit Concealment, in Proceedings of the IEEE Symposium on Security and Privacy, Oakland, CA, 2008, pp. 296-310. (acceptance rate 11.2%) Roy H. Campbell, Skevos Evripidou, Anja Schanzenberger: PerSys 2008 PC Co-chairs' Message. OTM Workshops 2008 . pp. 819 Z. Anwar, R. Shankesi, and R. H. Campbell, Automatic Security Assessment of Large-Scale Cyber-Infrastructures, in DSN-PDS , Anchorage, Alaska, pp. 2008, pp. 366-375. (acceptance rate 23 out of 87, 26.4%) Z. Anwar and R. Campbell, Automated Assessment of Critical Infrastructures for Compliance to CIP Best Practices, in Second IFIP WG 11.10 International Conference on Critical Infrastructure Protection, George Mason University, Arlington, Virginia, 2008. (acceptance rate 47.6%) Anand Tripathi, Roy H. Campbell, Liviu Iftode, Paolo Bellavista: Workshop Summary - ICSE Workshop on Software Engineering for Pervasive Computing Applications, Systems, and Environments (SEPCASE) . ICSE Companion 2007. pp. 148-149 L. Tan, E. M. Chan, R. Farivar, N. Mallick, J. C. Carlyle, F. M. David, and R. H. Campbell, iKernel: Isolating Buggy and Malicious Device Drivers Using Hardware Virtualization Support, in 3rd IEEE International Symposium on Dependable, Autonomic and Secure Computing (DASC'07) , Columbia, MD, 2007, pp. 134--142. A. Kapadia, P. Naldurg, and R. H. Campbell, Distributed Enforcement of Unlinkability Policies: Looking Beyond the Chinese Wall, in Proceedings of the Eighth IEEE Workshop on Policies for Distributed Systems and Networks (POLICY'07) , Bologna, Italy, 2007. (acceptance rate 22.8%) F. M. David, J. C. Carlyle, E. M. Chan, P. A. Reames, and R. H. Campbell, Improving Dependability by Revisiting Operating System Design, in 3rd Workshop on Hot Topics in Dependability (HotDep'07) , Edinburgh, UK, 2007, pp. 58-73. F. M. David, J. C. Carlyle, and R. H. Campbell, Context Switch Overheads for Linux on ARM Platforms, in Proceedings of the Workshop on Experimental Computer Science (ECS'07) , 2007. pp. 3. F. M. David, J. C. Carlyle, and R. H. Campbell, Exploring Recovery from Operating System Lockups, in 2007 USENIX Annual Technical Conference, Santa Clara, CA, 2007, pp. 351--356. F. M. David and R. H. Campbell, Building a Self-Healing Operating System, in 3rd IEEE International Symposium on Dependable, Autonomic and Secure Computing (DASC'07), Columbia, MD, 2007, pp. 3--17. J. C. Carlyle, F. M. David, and R. H. Campbell, Back in a Flash! - Fast Recovery using Non-Volatile Memory, in 37th IEEE/IFIP International Conference on Dependable Systems and Networks, Edinburgh, UK, 2007, pp. 422--423. Roy H. Campbell, Skevos Evripidou, Anja Schanzenberger: PerSys 2007 PC Co-chairs' Message. OTM Workshops (2) 2007. pp. 761 Zahid Anwar, Roy H. Campbell: Secure Reincarnation of Compromised Servers Using Xen Based Time-Forking Virtual Machines. PerCom Workshops 2007 . pp. 477-482. Z. Yang, Y. Cui, Z. Anwar, R. Bocchino, N. Kiyanclar, K. Nahrstedt, R. H. Campbell, and W. Yurcik, Real-Time 3D Video Compression for Tele-Immersive Environments, presented at SPIE/ACM 13th Annual Multimedia Computing and Networking (MMCN) , San Jose, California, U.S.A, 2006. C. S. Shankar, V. Talwar, S. Iyer, Y. Chen, D. Milojicic, and R. H. Campbell, Specification-enhanced Policies for Automated Management of Changes in IT Systems, presented at LISA 06: 20th Large Installation System Administration Conference, Washington, DC, 2006. C. S. Shankar and R. H. Campbell, Managing Pervasive Systems using Role-based Obligation Policies, presented at Proceedings of the Fourth Annual IEEE International Conference on Pervasive Computing and Communications Workshops, (PerComW 2006) . 2006, pp. 373-377. C. S. Shankar and R. H. Campbell, Ordering Management Actions in Pervasive Systems using Specification-enhanced Policies, PerCom , 2006, pp. 234-238. Z. Anwar, W. Yurcik, R. E. Johnson, M. Hafiz, and R. H. Campbell, Multiple Design Patterns for Securing Voice over IP, presented at Workshop on Information Assurance (WIA) at the 25th IEEE International Performance Computing & Communications (IPCCC), Phoenix, Arizona USA, 2006. Z. Anwar, J. Wang, W. Yurcik, I. Gupta, and R. H. Campbell, SPEEDS - A First Step Toward Enhancing Privacy Protection in P2P Social Network Communities, presented at 14th International Conference on Telecommunication Systems - Modeling and Analysis (ICTSM), Philadelphia PA USA, 2006. J. Al-Muhtadi, R. Hill, R. H. Campbell, and D. Mickunas, Context and Location-Aware Encryption for Pervasive Computing Environments, presented at International Workshop on Pervasive Computing and Communication Security (PerSec 2006), Pisa, Italy, 2006. P. D. Adamczyk, E. W. Chambers, R. H. Campbell, J. Fineberg, and K. Hamilton, Contested Boundaries: Artifacts and Communication in Interdisciplinary Design, presented at Designing Interactive Systems , 2006. B. D. Ziebart, D. Roth, R. H. Campbell, and A. K. Dey, Learning Automation Policies for Pervasive Computing Environments, in 2nd IEEE International Conference on Autonomic Computing , pp. 193-203, 2005. C. S. Shankar, A. Ranganathan, R. H. Campbell, An ECA-P Policy-based Framework for Managing Ubiquitous Computing Environments, In Mobiquitous 2005: The Second Annual International Conference on Mobile and Ubiquitous Systems: Networks and Services , San Diego, CA, July 2005, pp. 33-44. C. S. Shankar, R. H. Campbell, A Policy-based Management Framework for Pervasive Systems using Axiomatized Rule-Actions, Fourth IEEE International Symposium on Network Computing and Applications (NCA 2005) , 27-29 July 2005, Cambridge, MA, USA. IEEE Computer Society 2005, pp. 255-258. C. S. Shankar, J. Al-Muhtadi, R. H. Campbell, and M. D. Mickunas, Mobile Gaia: A Middleware for Ad-hoc Pervasive Computing, presented at IEEE Consumer Communications and Networking Conference , Las Vegas, 2005. A. Ranganathan, C. S. Shankar, J. Al-Muhtadi, R. H. Campbell, M. D. Mickunas, Olympus: A High-Level Programming Model for Pervasive Computing Environments, IEEE International Conference on Pervasive Computing and Communications (PerCom 2005), Kauai Island, Hawaii, March 8-12, 2005, pp. 7-16. A. Ranganathan and R. H. Campbell, Self-Optimization of Task Execution in Pervasive Computing Environments, In 2nd IEEE International Conference on Autonomic Computing (ICAC), Seattle, WA, June 13-16, 2005. pp. 333-334. A. Ranganathan, J. Al-Muhtadi, J. Biehl, B. Ziebart, R. Campbell, and B. Bailey, Towards a Pervasive Computing Benchmark. PerWare '05 (Workshop on Middleware Support for Pervasive Computing) at the IEEE International Conference on Pervasive Computing and Communications (PerCom 2005) , Kauai Island, Hawaii, March 8-12, 2005. pp. 194-198. Anand Ranganathan, Chetan Shiva Shankar, Roy H. Campbell: Application polymorphism for autonomic ubiquitous computing. Multiagent and Grid Systems 1(2): 2005, pp. 109-129. C. Peiper, D. Warden, E. Chan, R. H. Campbell, S. Kamin, and T. L. Wentling, Applying Active Space Principles to Active Classrooms, PerCom Workshops pp. 97-102, 2005. Raquel Hill, Suvda Myagmar, Roy Campbell, Threat Analysis of GNU Software Radio, Proceedings of the 6th World Wireless Congress , San Francisco, CA, May 2005. R. Hasan, Z. Anwar, W. Yurcik, L. Brumbaugh and R. H. Campbell, A Survey of Peer-to-Peer Storage Techniques for Distributed File Systems. ITCC (2) 2005: 205-213. E. Chan, J. Bresler, J. Al-Muhtadi, R. H. Campbell, GAIA Microserver: An Extendable Mobile Middleware Platform, IEEE International Conference on Pervasive Computing and Communications (PerCom 2005) , Kauai Island, Hawaii, March 8-12, 2005. pp. 309-313. R. H. Campbell, Beyond Global Communications: The Active World, Third IEEE International Conference on Pervasive Computing and Communications, 2005. PerCom 2005 ., pp. 211-211, 2005. Z. Anwar, W. Yurcik, V. Pandey, A. Shankar, I. Gupta, and R. H. Campbell, Leveraging Social-Network Infrastructure to Improve Peer-to-Peer Overlay Performance: Results from Orkut, in ACM Corr cs.NI/0509095: ACM, 2005. Z. Anwar, W. Yurcik, and R. H. Campbell, A Survey and Comparison of Peer-to-Peer Group Communication Systems Suitable for Network-Centric Warfare , SPIE Security and Defense Conference, Program on Communications and Networking Technologies and Systems, Orlando FL USA, 2005. Z. Anwar, W. Yurcik, S. Baset, H. Schulzrinne, and R. H. Campbell, A First Step Towards Call Survivability in Cellular Networks, The Proceedings of the 30th IEEE Conference on Local Computer Networks (LCN) , Sydney, Australia, November 15-17, 2005. pp. 501-502. Z. Anwar, J. Al-Muhtadi, W. Yurcik, and R. H. Campbell, Plethora: A Framework for Converting Generic Applications to Run in a Ubiquitous Environment, in the Proceedings of the 2nd Annual International Conference on Mobile and Ubiquitous Systems: Network and Services (MobiQuitous 2205) , San Diego, CA., July 2005. pp. 192-201. A. Kapadia, G. Sampemane and R. H. Campbell, Know Why Your Access was Denied: Regulating Feedback for Usable Security, Proceedings of the 11th ACM Conference on Computers and Communications Security (CCS) , Washington, DC, October 22-29, 2004, pp. 52-61. R. Hill, J. Al-Muhtadi, R. Campbell, A. Kapadia, P. Naldurg, A. Ranganathan, A Middleware Architecture for Security Ubiquitous Computing Cyber Infrastructures, In ACM/IFIP/USENIX 5th International Middleware Conference , Toronto, Ontario, Canada, October 18-22, 2004. A. Ranganathan, J. Al-Muhtadi, S. Chetan, R. Campbell, M. D. Mickunas, MiddleWhere: A Middleware for Location Awareness in Ubiquitous Computing Applications, In ACM/IFIP/USENIX 5th International Middleware Conference , Toronto, Ontario, Canada, October 18-22, 2004, V. LNCS 3231, pp. 397-416. Jalal Al-Muhtadi, Raquel Hill, Roy Campbell, A Privacy Preserving Overlay for Active Spaces, Ubicomp Privacy Workshop in Conjunction with the Sixth International Conference on Ubiquitous Computing , Nottingham, England, September 2004. Raquel Hill, Geetanjali Sampemane, Anand Ranganathan, and Roy H. Campbell, Towards A Framework for Automatically Satisfying Security Requirements, In Workshop on Specification and Automated Processing of Security Requirements - SAPS '04 at the 19th IEEE International Conference on Automated Software Engineering , Linz, Austria, September 20-24, 2004. Anand Ranganathan, Shiva Chetan, Roy Campbell, Mobile Polymorphic Applications in Ubiquitous Computing Environments, In Mobiquitous 2004: The First Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services, Boston, MA, August 22-25, 2004. Apu Kapadia, Prasad Naldurg, and Roy H. Campbell, Routing with Confidence: Supporting Discretionary Routing Requirements in Policy Based Networks, Proceedings of the IEEE 5th International Workshop on Policies for Distributed Systems and Networks (POLICY 2004) , pp. 45-55, Yorktown Heights, NY, June 7-9, 2004. Anand Ranganathan and Roy H. Campbell, Pervasive Autonomic Computing Based on Planning, IEEE International Conference on Autonomic Computing (ICAC), New York, NY, May 17-18, 2004. Shiva Chetan, Anand Ranganathan, Roy Campbell, Towards Fault Tolerant Pervasive Computing, In 1st International Workshop on Sustainable Pervasive Computing at Pervasive 2004, Vienna, Austria, April 20, 2004, Vol. 24, No. 1, pp. 38-44, 2004. Jalal Al-Muhtadi, Shiva Chetan, Anand Ranganathan, Roy H. Campbell, Super Spaces: A Middleware for Large-Scale Pervasive Computing Environments, In PerWare 2004: Middleware Support for Pervasive Computing Workshop at the 2nd IEEE International Conference on Pervasive Computing and Communications (PerCom 2004), Orlando, FL, March 14, 2004. Robert E. McGrath, Anand Ranganathan, Roy H. Campbell, and M. Dennis Mickunas, Investigations of Semantic Interoperability in Ubiquitous Computing Environments, 15th IASTED International Conference on Parallel and Distributed Computing and Systems (ICPDCS 2003), Marina del Rey, CA, November 3-5, 2003. Dulcineia Carvalho, Roy Campbell, Geneva Belford, Dennis Mickunas, Definition of a User Environment in a Ubiquitous System, Fifth International Symposium on distributed Objects and Applications (DOA 2003). Caatania, Sicily, Lecture Notes in Computer Science 2888, Springer-Verlag, November 3-7, 2003, pp. 1151-1169. Prasad Naldurg and Roy H. Campbell, Formal Specification and Analysis of Network Denial of Service Resistance, Proceedings of the First ACM Workshop on Survivable and Self-Regenerative Systems (SSRS '03) , Fairfax, VA, October 31, 2003 Robert E. McGrath, Anand Ranganathan, Roy H. Campbell, M. Dennis Mickunas, Incorporating "Semantic Discovery" into Ubiquitous Computing Infrastructure, in System Support for Ubiquitous Computing Workshop at the Fifth Annual Conference on Ubiquitous Computing (UbiComp/UbiSys 2003), Seattle, WA, October 12, 2003. Anand Ranganathan, Robert E. McGrath, Roy H. Campbell, M. Dennis Mickunas, Ontologies in a Pervasive Computing Environment. In Eighteenth International Joint Conference on Artificial Intelligence (IJCAI-03) Workshop on Ontologies and Distributed Systems , Acapulco, Mexico, August 3, 2003. Anand Ranganathan and Roy H. Campbell, A Middleware for Context-Aware Agents in Ubiquitous computing Environments, Proceedings of ACM/IFIP/USENIX International Middleware Conference , Rio de Janeiro, Brazil, June 16-20, 2003, pp. 143-161 (2003) Manuel Roman and Roy H. Campbell, A Middleware-Based Application Framework for Active Space Applications, Proceedings of ACM/IFIP/USENIX International Middleware Conference (Middleware 2003), Rio de Janeiro, Brazil, June 16-20, 2003, pp. 433-454 (2003). Prasad Naldurg and Roy H. Campbell, Dynamic Access Control: Preserving Safety and Trust in Network Defense Operations, in the Proceedings of the Eighth ACM Symposium in Access Control Models and Technologies (ACM SACMAT '03), Como, Italy, June 1-4, 2003. Christopher K. Hess and Roy H. Campbell, A Context-Aware Data Management System for Ubiquitous Computing Applications, In International Conference on Distributed Computing Systems (ICDCS 2003) , Providence, RI, May 19-22, 2003, pp. 169-178. Manuel Roman, Brian Ziebart, and Roy Campbell, Dynamic Application Composition: Customizing the Behavior of an Active Space. In IEEE International Conference on Pervasive Computing and Communications (PerCom 2003) , Dallas-Fort Worth, TX, March 23-26, 2003. Jalal Al-Muhtadi, Anand Ranganathan, Roy Campbell, and M. Dennis Mickunas, Cerberus: A Context-Aware Security Scheme for Smart Space, First IEEE International Conference on Pervasive Computing and Communications (PerCom) , Dallas-Fort Worth, TX, March 2003, pp. 489-496. Manuel Roman, Brian Ziebart, and Roy H. Campbell, Dynamic Application Composition: Customizing the Behavior of an Active Space, First IEEE Annual Conference on Pervasive Computing and Communications (PerCom) , Dallas-Fort Worth, TX, March 2003, pp. 169-176. Geetanjali Sampemane, Prasad Naldurg, and Roy H. Campbell, Access Control for Active Spaces, In Annual Computer Security Applications Conference (ACSAC2002) , Las Vegas, NV, December 2002. Liu, Z., R.H. Campbell, and M.D. Mickunas, Security as services in active networks. , in ISCC. 2002. p. 883-890 Manual Roman, Herbert Ho, and Roy H. Campbell, Application Mobility in Active Spaces, ( Best Student Paper Award ), 1st International Conference on Mobile and Ubiquitous Multimedia, Oulu, Finland, December 2002. Roy Campbell, Jalal Al-Muhtadi, Prasad Naldurg, Geetanjali Sampemane, M. Dennis Mickunas, Towards Security and Privacy for Pervasive Computing, International Symposium on Software Security (ISSS 2002) , Keio University, Tokyo Japan, November 2002. Anand Ranganathan, Roy H. Campbell, Arathi Ravi, and Anupama Mahajan, ConChat: A Context-Aware Chat Program, in Pervasive Computing Mobile and Ubiquitous Systems , IEEE Computer Society, Volume 1, Number 3, July- September 2002, pp. 51-57. Christopher Hess, Manuel Roman, and Roy H. Campbell, Building Applications for Ubiquitous Computing Environments, International Conference on Pervasive Computing 2002 , Zurich, Switzerland, August 2002. Jalal Al-Muhtadi, Anand Ranganathan, Roy Campbell and M. Dennis Mickunas, A Flexible, Privacy-Preserving Authentication Framework for Ubiquitous Computing Environments, The International Workshop on Smart Appliances and Wearable Computing (IWSAWC 2002) , Vienna, Austria, July 2, 2002. Jalal Al-Muhtadi, Roy Campbell, Apu Kapadia, Dennis Mickunas, Seung Yi, Routing Through the Mist: Privacy Preserving Communication in Ubiquitous Computing Environments, The International Conference of Distributed Computing Systems (ICDCS 2002), Vienna, Austria, July 3, 2002. Manuel Roman and Roy H. Campbell, A Distributed Object-Oriented Application Framework for Ubiquitous Computing Environments, 12th Workshop for PhD Students in Object-Oriented Systems , Malaga, Spain, June 2002. Manuel Roman, Christopher K. Hess, and Roy H. Campbell, Gaia: An OO Middleware Infrastructure For Ubiquitous Computing Environments, 5th ECOOP Workshop on Object-Oriented Operating Systems (ECOOP-OOOSWS'2002) , June 2002. Prasad Naldurg, Roy H. Campbell, and D. Mickunas, Developing Dynamic Security Policies, Proceedings of the 2002 DARPA Active Networks Conference and Exposition (DANCE 2002), San Francisco, CA, USA, IEEE Computer Society Press, May 29-31, 2002. Renato Cerqueira, Cristina Ururahy, Christopher K. Hess, Dulcineia Carvalho, Manuel Romn, Noemi Rodriguez, and Roy H. Campbell, Support for Mobility in Active Spaces, Workshop on Middleware for Mobile Computing (held in conjunction with the IFIP/ACM International Conference on Distributed Systems Platforms and Open Distributed Processing ), November 2001, Heidelberg, Germany. Renato Cerqueira, Christopher K. Hess, Manuel Romn, Roy H. Campbell, Gaia: A Development Infrastructure for Active Spaces, Workshop on Application Models and Programming Tools for Ubiquitous Computing (held in conjunction with the UBICOMP 2001 ), September 2001, Atlanta, USA. Fabio Kon and Tomonori Yamane and Christopher Hess and Roy Campbell and M. Dennis Mickunas, "Dynamic Resource Management and Automatic Configuration of Distributed Component Systems," Proceedings of the 6th USENIX Conference on Object-Oriented Technologies and Systems (COOTS'2001), San Antonio, TX, February. Manuel Roman and Fabio Kon and Roy Campbell, Reflective Middleware: From Your Desk to Your Hand, IEEE Distributed Systems Online , 2001, V. 2, 5, July. Available at \url http://computer.org/dsonline/0105/features/rom0105_1.htm Jalal Al-Muhtadi, Dennis Mickunas, Roy Campbell, Wearable Security Services, ICDCS'2001,International Workshop on Smart Appliances and Wearable Computing (IWSAWC 2001), (Scottsdale, AZ, April 16, 2001) (2001). Jalal Al-Muhtadi, Dennis Mickunas, Roy Campbell, A Lightweight Reconfigurable Security Mechanism for 3G Mobile Devices, IEEE International Conference on 3rd Generation Wireless and Beyond (3Gwireless'01), (San Francisco, CA, May 30, 2001) IEEE Wireless Communications Magazine , Vol. 9, No. 2 April 2002 (2002). Jalal Al-Muhtadi, Manish Anand, M. Dennis Mickunas, and Roy H. Campbell, Secure Smart Homes Using Jini and UIUC SESAME, Proc. of the 16th Annual Computer Security Application Conference (ACSAC'2000), (New Orleans, LA, December 2000) (2000). Zhaoyu Liu, Prasad Naldurg, Seung Yi, Roy H. Campbell, and M. Dennis Mickunas, Pluggable Active Security for Active Networks, Twelfth IASTED International Conference on Parallel and Distributed Computing and Systems (PDCS 2000) , (Las Vegas, NV, Nov. 2000) pp. 93-98 (2000). Fabio Kon Jalal Al-Muhtadi, Roy H. Campbell, and M. Dennis Mickunas, My Dream of Jini. OOPSLA'2000 Workshop on Jini Pattern Language, (Minneapolis, MN, October 2000) (2000). Manuel Roman and Roy H. Campbell, Gaia: Enabling Active Spaces, Proc. of the 9th ACM SIGOPS European Workshop, (Kolding, Denmark, Sept. 2000) pp. 229-234 (2000). Zhaoyu Liu, Roy H. Campbell, and M. Dennis Mickunas, Securing the Node of an Active Network, In Active Middleware Services, Salim Hariri, Craig Lee, and Cauligi Raghavendra (editors), Kluwer Academic Publishers, (Boston, MA, September 2000) pp. 122-135 (2000). Fabio Kon, Binny Gill, Manish Anand, Roy H. Campbell, and M. Dennis Mickunas, Secure Dynamic Reconfiguration of Scalable CORBA Systems with Mobile Agents, Proc. of the IEEE Joint Symposium on Agent Systems and Applications / Mobile Agents (ASA/MA'2000) (Zurich, Switzerland, Sept. 2000) pp. 86-98 (2000) Fabio Kon, Roy H. Campbell, M. Dennis Mickunas, Klara Nahrstedt, and Francisco J. Ballesteros, 2K: A Distributed Operating System for Dynamic Heterogeneous Environments, Proc. of the 9th IEEE International Symposium on High Performance Distributed Computing (HPDC'9) , (Pittsburgh, PA, Aug. 2000) pp. 201-208 (2000). Dulcineia Carvalho, Fabio Kon, Francisco Ballesteros, Manuel Romn, Roy Campbell And Dennis Mickunas, Management of Execution Environments in 2K, Proc. of the Seventh International Conference on Parallel and Distributed Systems (ICPADS'2000) , (Iwate, Japan, July 2000) pp. 479-485 (2000). Dulcinea Carvalho, Fabio Kon, Manuel Roman, Francisco Ballesteros, Christopher Hess, Roy Campbell and Dennis Mickunas, Interaction and Distribution of Execution Environments in 2K, Fourth World Multiconference on Systemics, Cybernetics and Informatics, (SCI 2000), (Orlando, FL, July 2000) Information Systems Development VII-491-496 (2000). Christopher K. Hess, Francisco J. Ballesteros and Roy H. Campbell, An Adaptable Distributed File Service. Proc. of the ECOOP PhD Workshop on Object Oriented Systems (PHDOOS'00) , (Cannes, France, June 2000) (2000). Sudha K. Varadarajan, Tin Qian, and Roy H. Campbell, Dynamic, Distributed, Secure Multicast in Active Networks, IEEE International Conference on Communication, (New Orleans, June 2000) (2000). Apu Kapadia, Jalal Al-Muhtadi, Roy H. Campbell, M. Dennis Mickunas, I-RBAC 2000: Secure Interoperability using dynamic Role Translation, Proc. of the International Conference on Internet Computing 2000, IC2000 , (Las Vegas, NV, June 2000) (2000). Manuel Romn, Dennis Mickunas, Fabio Kon and Roy H. Campbell, LegORB and Ubiquitous CORBA, Proc. of the IFIP/ACM Middleware'2000 Workshop on Reflective Middleware , (Palisades, NY, April 1999) 1-2 (2000). C.K. Hess, D. Raila, and R. H. Campbell, Design and Performance of MPEG Streaming to Palmtop Computers in Multimedia Computing and Networking 2000 (MMCN00) . San Jose, CA 2000. Zhaoyu Liu, M. Dennis Mickunas, and Roy H. Campbell, Secure Information Flow in Mobile Bootstrapping Process. In the International Workshop on Wireless Networks and Mobile Computing , (Taipei, Taiwan, April 2000) D44-51 (2000). Zhaoyu Liu, Roy H. Campbell, Sudha K. Varadarajan, Prasad Naldurg, Seung Yi, and M. Dennis Mickunas, Flexible Secure Multicasting in Active Networks. In the International Workshop on Group Computation and Communications, (Taipei, Taiwan, April 2000) C15-22 (2000). Fabio Kon, Manuel Roman, Ping Liu, Jina Mao, Tomonori Yamane, Luiz Claudio Magalhaes, and Roy H. Campbell, Monitoring, Security, and Dynamic Configuration with the dynamicTAO Reflective ORB, Middleware 2000 Conference , Springer-Verlag (New York, NY, April 2000), LNCS 1795--121-143 (2000). Roy H. Campbell, Zhaoyu Liu, M. Dennis Mickunas, Prasad Naldurg, Seraphim: Dynamic Interoperable Security Architecture for Active Networks, The Third IEEE Conference on Open Architectures and Network Programming (OPENARCH 2000) , (Tel-Aviv, Israel, March 2000) (2000). Zhaoyu Liu, Prasad Naldurg, Seung Yi, Tin Qian, Roy H. Campbell, and M. Dennis Mickunas, An Agent Based Architecture for Supporting Application Level Security, In the DARPA Information Survivability Conference and Exposition , (Hilton Head Island, SC, January 2000) (2000). Fabio Kon and Roy H. Campbell, Automatic Configuration of Component-Based Distributed Systems, OOPSLA '99 Doctoral Symposium (Proceedings Companion), (Denver, CO, Nov. 1999) pp. 117-118 (1999). Manuel Roman, Ashish Singhai, Dulcineia Carvalho, Christopher Hess, and Roy H. Campbell, Integrating PDA's into Distributed Operating System: 2K and PalmORB, International Symposium on Handheld and Ubiquitous Computing (HUC '99) , Springer-Verlag, (Karlsruhe, Germany, Sept. 1999) Vol. LCNS 1707, pp. 137-149 (1999). Marta Patino, Francisco Ballesteros, Ricardo Jimenez, Sergio Arevalo, Fabio Kon, and Roy Campbell, Batching: A Design Pattern for Flexible and Efficient Client-Server Interaction, Proceedings of the Conference on Pattern Languages of Programs (PLOP99) , (Monticello, IL, Aug. 1999) 7:1-8 (1999). Christopher K. Hess, Fabio Kon, Roy H. Campbell, Manuel Roman, Dulcineia Carvalho, and Luiz Magalhaes, Dynamic Resource Management for Smart Environments: The 2K Approach, Inter-agency Workshop on Smart Environments , Georgia Institute of Technology, (Atlanta, GA, July 25-26, 1999). Francisco J. Ballesteros, Christopher Hess, Fabio Kon, Sergio Arevalo, Roy H. Campbell, Object Orientation in Off++ - A Distributed Adaptable Kernel, the 2nd ECOOP Workshop on Object-Orientation and Operating Systems, (Lisbon, Portugal, June 1999) pp. 49-53 (1999). Fabio Kon, Dulcineia Carvalho, and Roy H. Campbell, Automatic Configuration in the 2K Operating System, the 2nd ECOOP Workshop on Object-Orientation and Operating Systems , (Lisbon, Portugal, June 1999) pp. 10-14 (1999). Christopher K. Hess and Roy H. Campbell, Media Streaming Protocol: An Adaptive Protocol for the Delivery of Audio and Video Over the Internet, accepted to the 6th International Conference on Multimedia Computing and Systems '99 , (Florence, Italy, June 1999) Vol. II, pp. 903-907 (1999). See-Mong Tan and Roy H. Campbell, Multimedia Support in Network Protocol Processing Subsystems", the 6th IEEE International Conference on Multimedia Computing and Systems '99 , Florence, Italy, June 1999) (1999). Fabio Kon and Roy Campbell, A Framework for Dynamically Configurable Multimedia Distribution, Proceedings of the ECOOP '99 Workshop for PhD. Students in Object Oriented Systems , (Lisbon, Portugal, June 1999) pp. 118-127 (1999). Roy Campbell, 2K: an Operating System for the New Millennium, Keynote Speech in the Proceedings of the ECOOP '99 Workshop on Object Orientation and Operating Systems, (Lisbon, Portugal, June 1999) pp. 7-9 (1999). Manuel Roman, Fabio Kon, and Roy H. Campbell, Design and Implementation of Runtime Reflection in Communication Middleware: the dynamicTAO Case, Proceedings of The ICDCS '99 Workshop on Middleware , (Austin, TX, June 1999) pp. 122-127 (1999). Fabio Kon and Roy H. Campbell, Supporting Automatic Configuration of Component-Based Distributed Systems, Proceedings of the 5th USENIX Conference on Object-Oriented Technologies and Systems (COOTS '99) , ( San Diego, CA, May 1999) pp. 175-187 (1999). Roy Campbell and Tin Qian, Dynamic Agent-Based Security Architecture for Mobile Computers, The Second International Conference on Parallel and Distributed Computing and Networks, (Brisbane, Australia, Dec. 1998) (1998). Fabio Kon, Ashish Singhai, Roy H. Campbell, Dulcineia Carvalho, Robert Moore, and Francisco J. Ballesteros, 2K: A Reflective, Component-Based Operating System for Rapidly Changing Environments, ECOOP '98 Workshop on Reflective Object-Oriented Programming and Systems . (Brussels, Belgium, July 1998) (1998). Francisco J. Ballesteros, Sergio Arevalo, Fabio Kon and Roy H. Campbell, Towards a Grand Unified Framework for Mobile Objects, III ECOOP Workshop on Mobility and Replication . (Brussels, Belgium, July 1998) (1998). Aamod Sane, Ashish Singhai, and Roy Campbell, End-to-End Considerations in Framework Design, the 12th European Conference on Object-Oriented Programming (ECOOP) , (Brussels, Belgium, July 1998) (1998). Ashish Singhai, Aamod Sane, and Roy Campbell, Quarterware for Middleware, International Conference on Distributed Computing Systems (ICDCS) , (Amsterdam, The Netherlands, May 1998) pp. 192-201 (1998). Fabio Kon, Roy H. Campbell, See-Mong Tan, Miguel Valdez, Zhigang Chen, and Jim Wong, A Component-Based Architecture for Scalable Distributed Multicast, Proceedings of the 14th International Conference on Advanced Science and Technology (ICAST '98) , (Naperville, IL, April 1998) (1998) Roy Campbell, Dennis Mickunas, Tin Qian, and Zhaoyu Liu, An Agent-based Architecture for Supporting Application Specific Security, in Workshop on Research Directions for the Next Generation Internet , (Vienna, VA, May 1997) (1997) Yongcheng Li, See-Mong Tan, Zhigang Chen, and Roy H. Campbell, Disk Scheduling for The Digital Library Object Server with Dynamic Request Priorities, the Fourth International Conference on Parallel and Distributed Information Systems , (Miami Beach, FL, December 1996) (1996). W. S. Liao, S. M. Tan, and R. H. Campbell, Fine-grained, Dynamic User Customization of Operating Systems, in Proceedings of the Fifth International Workshop on Object-Oriented in Operating Systems (Seattle, WA, Oct. 1996) pp. 62-66 (1996). S. Tan, R. Campbell, Z. Chen, W. Liao, D. K. Raila, F. Kon, M. Valdez, Adaptation and Synchronization in Low-Bandwidth Internet Video, in World Wide Web Consortium Workshop on Real Time Multimedia in the WWW (RTMW '96) , (INRIA Sophia Antipolis, France, Oct. 1996) (1996) Mohlalefi Sefika, Aamod Sane, and Roy H. Campbell, Architecture-Oriented Visualization, Conference on Object-Oriented Programming Systems, Languages & Applications , (San Jose, CA, Oct. 1996) pp. 389-405 (1996). W. S. Liao and R. H. Campbell, An Interprocess Communications Design for Migrating Objects, in Proceedings of the Workshop on Mobility and Replication, ECOOP 96 , (Linz, Austria, July 1996) (1996). Nayeem Islam, Amitabh Dave, and Roy H. Campbell, Communication Compilation for Unreliable Networks, 16th International Conference on Distributed Computing Systems , (Hong Kong, May 1996) pp. 188-195 (1996). Daniel Sturman, Theron Tock, Roy Campbell, Security, Delegation, and Extensibility, 16th International Conference on Distributed Computing Systems , (Hong Kong, May 27-30, 1996) (1996). Tin Qian, See-Mong Tan, Roy Campbell, An Integrated Architecture for Open Distributed Multimedia Computing, published in Proceedings of the First International Workshop on Multimedia Software Development, (Berlin, Germany, March 1996) pp. 24-30 (1996). Y. Li, Z. Chen, S. M. Tan and R. H. Campbell, Security Enhanced MPEG Player, published in Proceedings of the First International Workshop on Multimedia Software Development, (Berlin, Germany, March 1996) pp. 169-175 (1996). Mohlalefi Sefika, Aamod Sane, Roy Campbell, Monitoring Compliance of a Software System With Its High-Level Design Models, for presentation at the 18th International Conference on Software Engineering held in (Berlin, Germany, March 1996) pp. 387-396 (1996). Z. Chen, S. M. Tan, R. H. Campbell and Y. Li, Real Time Video and Audio in the World Wide Web, in Fourth International World Wide Web Conference, (Boston, MA, Dec. 1995) pp. 333-348 (1995). Yongcheng Li, Varna Puvvada, and Roy Campbell, Dynamic Retrieval of Remote Digital Objects, Proceedings of Fourth International Conference on Information and Knowledge Management (CIKM'95), (Baltimore, MD, Nov. 1995) pp. 182-187 (1995). Yongcheng Li and Roy Campbell, A Dynamic Priority-based Scheduling Method in Distributed Systems, Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA'95) , (Athens, Georgia, Nov. 1995) pp. 177-186 (1995). Aamod Sane and Roy Campbell, Object-Oriented State Machines, in 10th Annual OOPSLA Conference, (Austin, TX, Oct. 1995) pp. 17-32 (1995). Mohlalefi Sefika and Roy H. Campbell, An Open Visual Model for Object-Oriented Operating System, in Fourth International Workshop on Object-Orientation in Operating Systems . IEEE Computer Society Press. (Lund, Sweden, Aug. 1995) (1995). S. M. Tan, D. K. Raila and R. H. Campbell, An Object-Oriented Nano-Kernel for Operating System Hardware Support, in Fourth International Workshop on Object-Orientation in Operating Systems '95 , IEEE Computer Society Press. (Lund, Sweden, Aug. 1995) pp. 220-223 (1995). Willy S. Liao, David M. Putzolu and Roy H. Campbell, Building a Secure, Location Transparent Object Invocation System, in Proceedings of International Workshop on Object-Orientation in Operating Systems '95 , IEEE Computer Society Press., (Lund, Sweden, Aug. 1995) pp. 114-117 (1995). See-Mong Tan and Roy H. Campbell, Efficient Signalling Algorithms for ATM Networks, in IFIP Third Workshop on Performance Modelling and Analysis of ATM Networks , (Bradford, UK, July 1995) International Federation for Information Processing, 26/1-26/11 (1995). Ashish Singhai and Roy Campbell, xMPI: An MPI Implementation for ATM Networks, In Second MPI Developers' Conference, (Notre Dame, Indiana, June 1995). Available http://www.cse.nd.edu/mpidc95/proceedings/papers/postscript/singhai.ps Nayeem Islam and Roy H. Campbell, Techniques for Global Optimizations of Message Passing Communications on Unreliable Networks, In 15th International Conference on Distributed Computing Systems, (Vancouver, BC, Canada, June 1995) pp. 246-253 IEEE Computer Society Press (1995). Roy Campbell, Daniel Sturman, and Theron Tock, Mobile computing, security and delegation, In the International Workshop on Multi-Dimensional Mobile Communications, (Japan, Nov., 1994) (1994). Amitabh Dave, Nayeem Islam, and Roy H. Campbell, A Low-Latency Scalable Locking Algorithm for Shared Memory Multiprocessors, In Sixth IEEE Symposium on Parallel and Distributed Processing, (Dallas, TX, October 1994), IEEE Computer Society Press (1994). J. W. Lockwood, C. Cheong, S. Ho, B. Cox, S. M. Kang, S. G. Bishop, and R. H. Campbell, The iPOINT testbed for optoelectronic ATM networking. In Conference on Lasers and Electro-Optics, (Baltimore, MD, 1993) pp. 370-371 (1993). McGrath, Robert E., Nayeem Islam, and Roy H. Campbell, Parallel Distributed Application Performance and Message Passing: A case study, In Symposium on Experiences With Distributed and Multiprocessor Systems , (October 1993) pp. 73-88 (1993) Lim, Swee Boon, Lun Xiao, Roy H. Campbell, Distributed Access to Persistent Objects, In International Conference on Decentralized and Distributed Systems, (Palma de Mallorca, Spain, Sept. 1993) pp. 329-340 (1993). Islam, Nayeem and Roy Campbell, Uniform Co-Scheduling Using Object-Oriented Design Techniques, in International Conference on Decentralized and Distributed Systems, (Palma de Mallorca, Spain, Sept. 1993) pp. 317-328 (1993). Lun Xiao and Roy H. Campbell, Object-Oriented Transactions in Choices, Proceedings of the 26th Hawaii International Conference on System Sciences , vol. II, pp. 50-59, (January 5-8, 1993), (1993). Peter Madany, Panos Kougiouris, Nayeem Islam, and Roy H. Campbell, Practical Examples of Reification and Reflection in C++, Proceedings of the International Workshop On Reflection and Meta Level Architecture , (Tokyo, Japan, Nov. 1992) pp. 76-81(1992). Nayeem Islam and Roy H. Campbell, Object-Oriented Framework Design and Implementation, Conference on Object-Oriented Programming Systems, Languages, and Applications, (Vancouver, British Columbia, Canada, Oct. 1992) tutorial. IEEE Computer Society Press (1992). Michael W. Condry, Swee Boon Lim, and Lup Yuen Lee, The Object-Oriented Advantage in Prototyping a Remote File System, Proceedings of the Second International Workshop on Object-Oriented Operating Systems , (Paris, France, Sept. 1992) pp. 190-199 (1992). Amitabh Dave, Mohlalefi Sefika, and Roy H. Campbell, Proxies, Application Interfaces, and Distributed Systems, Proceedings of The Second International Workshop on Object-Oriented Operating Systems , (Paris, France, Sept. 1992) pp. 212-220 (1992). Roy H. Campbell and Nayeem Islam, A Technique for Documenting the Framework of an Object-Oriented System, Proceedings of The Second International Workshop on Object-Oriented Operating Systems, (Paris, France, Sept. 1992) pp. 288-300 (1992). Nayeem Islam and Roy H. Campbell, Design Considerations for Shared Memory Multiprocessor Message Systems, Third Symposium on Experiences with Distributed and Multiprocessor Systems , (Newport Beach, CA, March 1992) pp. 149-171 (1992) (judged by the committee to be one of the two best papers.) Peter W. Madany and Roy H. Campbell, Organizing and Typing Persistent Objects within an Object-Oriented Framework, Proceedings of the Twenty-fifth Annual Hawaii International Conference on System Sciences , (Kauai, Hawaii, Jan. 1991) V-1:800-809 (1992). Roy H. Campbell, Nayeem Islam, Ralph Johnson, Panos Kougiouris and Peter Madany, Choices, Frameworks and Refinement, Proceedings of the 1991 International Workshop on Object-Orientation in Operating Systems , Luis-Felipe Cabrera, Vincent Russo, and Marc Shapiro, editors, (Palo Alto, CA, Oct. 1991) pp. 9-15 (1991). Hal Render and Roy Campbell, An Object-Oriented Model of Software Configuration Management, Proceedings of the Third International Workshop on Software Configuration Management , (Trondheim, Norway, June 1991) pp. 127-139 (1991). Peter W. Madany, Roy H. Campbell, and Panagiotis Kougiouris, Experiences Building an Object-Oriented System in C++, Presented at Technology of Object-Oriented Languages and Systems Conference '91 , Jean Bezivin and Bertrand Meyer, editor, (Paris, France, March 1991) pp. 35-49 (1991). Aamod Sane, Roy Campbell, and Ken MacGregor, Distributed Virtual Memory Consistency Protocols: Design and Performance, presented at the IEEE Workshop on Experimental Distributed Systems, (Huntsville, AL, Oct. 1990) pp. 91-96 (1990). Vincent F. Russo, Peter W. Madany, and Roy H. Campbell, C++ and Operating Systems Performance: A Case Study, 1990 USENIX C++ Conference, (San Francisco, CA, April 1990) pp. 103-114 (1990). R. H. Campbell, H. S. Render, Formalizing Configuration Management with CLEMMA, Proceedings of the International Conference on System Development Environments & Factories, (Berlin, W. Germany, May 1989) (1989). H. S. Render, R. N. Sum, Jr., and R. H. Campbell, Integrated Configuration Management and Project Management in an Object-oriented Software Development Environment, Proceedings of FedCASE 89 , (Gaithersburg, MD, October 1989) (1989). G. M. Johnston and R. H. Campbell, An Object-Oriented Implementation of Distributed Virtual Memory, Proceedings of the Workshop on Experiences with Building Distributed and Multiprocessor Systems, (Ft, Lauderdale, FL, Oct. 1989) pp. 39-57 (1989). V. F. Russo and R. H. Campbell, Virtual Memory and Backing Storage Management in Multiprocessor Operating Systems Using Object-Oriented Design Techniques, Proceedings of the Conference on Object-Oriented Programming: Systems, Languages, and Applications, (New Orleans, LA, Oct. 1989) pp. 267-278 (1989). P. W. Madany, R. H. Campbell, V. F. Russo, and D. E. Leyens, A Class Hierarchy for Building Stream-Oriented File Systems, Proceedings of the 1989 European Conference on Object-Oriented Programming, (Editor Stephen Cook), Cambridge University Press, (Nottingham, UK, July 1989) pp. 311-328 (1989). G. M. Johnston and R. H. Campbell, A Multiprocessor Operating System Simulator, Proceedings of the USENIX C++ Workshop, (Denver, CO, Oct. 1988) pp. 169-182 (1988). P.W. Madany, D.E. Leyens, V.F. Russo, and R.H. Campbell, A C++ Class Hierarchy for Building UNIX-Like File Systems, Proceedings of the UNIX C++ Workshop , (Denver, CO, October 1988) pp. 65-79 (1988). Also a departmental technical report UIUCDCS-88-1462. V. Russo, G. Johnston, and R. H. Campbell, Process Management and Exception Handling in Multiprocessor Operating Systems Using Object-Oriented Design Techniques, Proceedings on Object-Oriented Programming Systems, Languages, and Applications , (San Diego, CA, Sept. 25-30, 1988) pp. 248-258 (1988). Hal S. Render and R. H. Campbell, CLEMMA: The Design of a Practical Configuration Librarian, Proceedings of CSM 88, Conference on Software Maintenance , (Phoenix, AZ, October 24-27, 1988) pp. 222-228 (1988). R. H. Campbell, V. Russo, and G. Johnston, Choices: The Design of a Multiprocessor Operating System, Proceedings of the USENIX C++ Workshop , (Santa Fe, NM, Nov. 8-10, 1987), 109-125. Conference, Software Engineering, University of Liverpool, July 11-15, 1988) pp. 55-63 (1988). S. M. Kaplan and R. H. Campbell, Designing and Prototyping in GRADS, In Second IEE/BCS Conference on Software Engineering , (University of Liverpool, July 1988) pp. 55-63 (1988). R. H. Campbell, H. Render, R. N. Sum, Jr., and R. B. Terwilliger, Automating the Software Development Process, Proceedings of the 1988 ACM Computer Science Conference, (Atlanta, GA, Feb. 1988) pp. 299-308 (1988) R. B. Terwilliger and R. H. Campbell, An Early Report on ENCOMPASS, Proceedings of the 10th International Conference on Software Engineering , (Singapore, April 1988) pp. 344-354 (1988). R. B. Terwilliger and R. H. Campbell, Rigorous Software Development Using PLEASE, Annual National Communications Forum, (Sept. 1987) 41(2):1114-1118 (1987). R. H. Campbell, G. Johnston, K. Kenny, G. Murakami, and V. Russo, Choices (Class Hierarchical Open Interface for Custom Embedded Systems), In Fourth Workshop on Real-Time Operating Systems, (Cambridge, MA, July 1987) pp. 12-18 (1987). R. B. Terwilliger and R. H. Campbell, PLEASE: a Language for Incremental Software Development, The Fourth International Workshop on Software Specification and Design , (Monterey, CA, April 1987) pp. 249-256 (1987). J. E. Grass and R. H. Campbell, Mediators: A Synchronization Mechanism, Proc. of Sixth International Distributed Computing Systems , IEEE, (Cambridge, MA, May 19-23, 1986) pp. 468-477 (1986). R. B. Terwilliger and R. H. Campbell, PLEASE: Predicate Logic based ExecutAble SpEcifications. Proceedings of the 1986 ACM Computer Science Conference, (Feb. 1986) pp. 349-358 (1986). R. B. Terwilliger and R. H. Campbell, ENCOMPASS: a SAGA Based Environment for the Composition of Programs and Specifications. Proceedings of the 19th Hawaii International Conference on System Sciences, Honolulu, Hawaii, (January 1986) 436-447. Republished as abstract in Fourteenth ACM Computer Science Conference , (Feb 1986) (1986). D. H. Hammerslag, S. N. Kamin and R. H. Campbell, Tree-Oriented Interactive Processing with an Application to Theorem-Proving, Proceedings of the Second ACM/IEEE Conference on Software Development Tools, Techniques, and Alternatives, (Dec. 1985) pp. 199-206 (1985). R. H. Campbell and W. J. Kubitz, The Professional Workstation Project, Proceedings of the 1st IEEE Conference on Computer Workstations , Nov. 1985) pp. 222-230 (1985). M. V. Devarakonda, R. E. McGrath, R. H. Campbell, and W. J. Kubitz, Networking a Large Number of Workstations Using UNIX United, Proceedings of the 1st IEEE Conference on Computer Workstations , (Nov. 1985) (1985). G. M. Beshers and R. H. Campbell, Maintained and Constructor Attributes, Proceedings of the ACM SIGPLAN 85 on Language Issues in Programming Environments , (June 1985) SIGPLAN Notices, 20(7):34-42 (1985). P. A. Kirslis, R. B. Terwilliger and R. H. Campbell, The SAGA Approach to Large Program Development in an Integrated Modular Environment, Proceedings of the GTE Workshop on Software Engineering Environments for Programming-in-the-Large , (Harwichport, MA., June 1985) pp. 44-53. Republished as abstract in 19th Hawaii International Conference on System Science s, (January 1986) (1986). R. H. Campbell, A. M. Koelmans, and M. R. McLauchlan, STRICT: A Design Language for Strongly Typed Recursive Integrated CircuiTs, (Editor J. Mavor and H. Keinhadjian), IEEE Proceedings on Solid State and Electron Devices , (March/April 1985) Vol. 132, Pts. E and I, No. 2 (1985). P. Jalote and R. H. Campbell, Atomic Actions in Concurrent Systems, Proceedings of the 5th International Conference on Distributed Computing Systems , (Denver, CO, May 1985) (1985). R. N. Sum, R. H. Campbell and W. J. Kubitz, An Approach to Operating System Testing, Proceedings of the Ninth Annual Software Engineering Workshop, AIAA , (Goddard, MD, Nov. 1984) pp. 136-155 (1984). R. H. Campbell and W. J. Kubitz, XENIX, Graphics and Ethernet for the Professional Workstation, Proceedings of the Eight University Study Conference, IBM, (Ft. Lauderdale, FL, October 1984) (1984). Roy H. Campbell and P. E. Lauer, RECIPE: Requirements for an Evolutionary Computer-based Information Processing Environment. Proceedings of the IEEE Software Process Workshop , 67-76 (1984). P. Jalote and R. H. Campbell, Fault Tolerance using Communicating Sequential Processes, 14th International Conference on Fault-Tolerant Computing (FTCS-14) , (Orlando, FL, June 1984) pp. 347-352 (1984). R. H. Campbell and P. A. Kirslis, The SAGA Project: A System for Software Development, Proceedings of the ACM SIGSOFT/SIGPLAN Software Engineering Symposium on Practical Software Development Environments , (May 1984), Software Engineering Notes, 9(3):73-80, SIGPLAN Notices, Vol. 19, No. 5 (1984). M. D. Mickunas, P. Jalote and R. H. Campbell, The Delay/Re-read Protocol for Concurrency Control in Databases, Proceedings of the First International Conference on Computer Data Engineering (COMPDEC) , (Los Angeles, CA, April 1984) pp. 307-314 (1984). R. H. Campbell and W. J. Kubitz, The IBM Professional Workstation Project, Proceedings of the Eight University Study Conference , IBM, (Raleigh, NC, Oct. 1983) pp. 296-306 (1983). R. H. Campbell and T. Anderson, Practical Fault Tolerant Software for Asynchronous Systems, SAFECOMP 83, Third International IFAC Workshop on Achieving Safe Real-time Computer Systems , Pergamon Press, (Oxford, England, 1983) (1983). A. Liestman and R. H. Campbell, A Fault Tolerant Scheduling Problem, Digest of Papers FTCS-13: Thirteenth Annual International Symposium on Fault-Tolerant Computing , (Milano Italy, June 1983) (1983). W. Y. Cheng, S. Ray, R. Kolstad, J. Luhukay, R. Campbell, and J. W-S. Liu, ILLINET-A 32 Mbits/sec. local-area network, Proceedings of the 1981 National Computer Conference , (Chicago, IL, May 1981) pp. 209-214 (1981). R. H. Campbell and P. Richards, SAGA: A System to Automate the Management of Software Production, Proceedings of 1981 National Computer Conference , (Chicago, IL, May 1981) pp. 231-234 (1981). A.Y. Wei, K. Hiraishi, R. Cheng, R. H. Campbell, Application of the Fault-Tolerant Deadline Mechanism to a Satellite On-Board Computer System, Digest of Papers FTCS-10: Tenth International Symposium on Fault-Tolerant Computing , (Kyoto Japan, October, 1980) (1980). R. Balocca and R. H. Campbell, PP-11, A Path Pascal Language System for the PDP-11, In Proceedings of the Eighth Texas Conference on Operating Systems , (Dallas, TX, Nov. 1979) (1979). (acceptance rate 100%) R. H. Campbell and R. B. Kolstad, Path Expressions in Pascal, In Proceedings of the Fourth International Conference on Software Engineering , (Munich, Germany, Sept. 1979) pp. 212-219 (1979). (acceptance rate 15%) R. H. Campbell, K. Horton, and G. G. Belford, Simulations of a Fault-Tolerant Deadline Mechanism, Digest of Papers FTCS-9: Ninth Annual International Symposium on Fault-Tolerant Computing , (Madison WI, June 1979) pp. 95-102 (1979). R. H. Campbell and R. B. Kolstad, Practical Applications of Path Expressions to Systems Programming, ACM79 , (Detroit, MI, 1979) pp. 81-87 (1979) (acceptance rate 15%) K. H. Horton, R. H. Campbell, and G. G. Belford, Meeting Real-time Deadlines, Proceedings of Computers, Electronics and Control, ACTA Press, Calgary, 1979. P. E. Lauer and R. H. Campbell, A Description of Path Expressions by Petri Nets, Second ACM Symposium on Principles of Programming Languages , (Palo Alto, CA, Jan. 1975) 955 (1975) (acceptance rate 23%) . Honors Certificate of Honor and Appreciation for Outstanding Contribution as a PC Chair for IEEE IC2E 2013 Pervasive 2012 Ten Year Impact Award ACM Recognition of Service Award 2010 in Appreciation for Contributions to ACM Chair Middleware'09 IEEE Certificate of Appreciation 2009 in recognition and appreciation of services and contributions to IEEE Central Illinois Section ACM Recognition of Service Award 2008 in Appreciation for Contributions to ACM Program Co-Chair Middleware'07 IEEE Fellow, 2005 Sohaib and Sara Abbasi Professor, 2004 UIUC Professionals certification NSTISSI No. 4011 for the academic year 2003-2006, 2007-2010 UIUC National Training Standards for Information Systems Security (INFOSEC), 2003-2006, 2007-2010 UIUC recognition as an NSA Center of Excellence in Information Assurance Education, 2000-2003, 2003-2006, 2007-2010 Information Technology Committee to the Illinois Terrorism Task Force, 2002, 2003 Advanced technologies Group, Apple External research Accelerating Innovation Award 1991 Aug. 1982-Aug. 1983: Senior Visiting Research Fellowship at University of Newcastle upon Tyne, Science and Engineering Research Council of Great Britain. May 1981-Aug. 1981: Senior Visiting Research Fellowship at the University of Newcastle upon Tyne, Science and Engineering Research Council of Great Britain. Technical Brief, "Path Pascal," June 1982. Certificate of Recognition for the Creative Development of a Technical Innovation, Published in NASA For more information Research Web Site Roy H. Campbell's home page . diff --git a/src/data/compiled_bios/120.txt b/src/data/compiled_bios/120.txt new file mode 100644 index 0000000000..fcb3651f45 --- /dev/null +++ b/src/data/compiled_bios/120.txt @@ -0,0 +1 @@ + Michael J. Fischer About Professor Fischer Professor received a B.S. (1963) in mathematics from the University of Michigan . He received an M.A. (1965) and Ph.D.(1968) in applied mathematics from Harvard University in the School of Engineering and Applied Sciences (then the Division of Engineering and Applied Physics). Professor Fischer's current research interests include Theory of distributed systems Crytographic protocols Electronic voting systems Theoretical issues in scalable parallel computing Analysis of algorithms and data structures Teaching Professor Fischer has recently taught CPSC 163b From Pictograph to Pixel: Changing Ways of Human Communication (was CPSC 290b; with Beatrice Gruendler and John Darnell) CPSC 223b Data Structures and Programming Techniques CPSC 427b/527b Object-Oriented Programming CPSC 435b/535b Internet-Scale Applications (with Richard Yang) CPSC 461b/561b Foundations of Cryptography CPSC 467a/567a Cryptography and Computer Security Publications His CV and publication list is available as a PDF file. Here are some old hard-to-find technical reports that are now available electronically. TR-1104 : Lecture Notes on Network Complexity, June 1974. TR-416: A Robust and Verifiable Cryptographically Secure Election Scheme (Extended Abstract) . Josh D. Cohen and Michael J. Fischer, July 1985. This paper subsequently appeared in Proc. 26th IEEE Sympos. Foundat. Comput. Sci. (Oct. 1985), 372-382. TR-273 : The Consensus Problem in Unreliable Distributed Systems (A Brief Survey), June 1983. The following papers are available online. More are coming soon (he hopes). Appraising Two Decades of Distributed Computing Theory Research : M. J. Fischer and M. Merritt. Preprint of paper published in Distributed Computing 16:239-247, 2003. Counting Predicates of Conjunctive Complexity One : M. J. Fischer and R. Peralta, Yale TR-1222, February 2002. Optimal Layout of Edge-Weighted Forests : M. J. Fischer and M. S. Paterson. Discrete Applied Mathematics, 90 (1-3): 135-159, January 1999. Lambda-Calculus Schemata (prepublication draft) : M. J. Fischer, Lisp and Symbolic Computation 6(3/4):259--288, November 1993. Downloads Along with research papers, he is also beginning to release under the GPLv3 license some programs, originally written for other purposes, in the hopes that others might find them useful. A heap implementation in C of a priority queue (download) . This implementation allows multiple heaps to be created with different data types as elements and different priority rules. Personal He is a proud grandfather! Here are some pictures of Richard TseWai Fischer from November 2002 when he was just newborn. His second grandson, Paul TseMing Fischer, was born in August 2006. Pictures are coming... Here are some pictures of the Greenbank Guest House in Paget Parish, Bermuda. We had a wonderful time there in May 2002. Here are some pictures from Paul Hudak's CS Farewell Party for Arvind Krishnamurthy, John Peterson, and Carsten Schuermann, May 30, 2005. Here are some pictures from the "Mike66" symposium in honor of Mike Paterson's 66th birthday. It was held at the University of Warwick in Coventry on September 18-19, 2008. High resolution images are also available (but slow to load). How to Reach Michael Fischer E-mail: US Mail: Department of Computer Science Yale University P.O. Box 208285 New Haven, CT 06517 Street address: Department of Computer Science Yale University 51 Prospect Street New Haven, CT 06511 Telephone: 203-432-1270 FAX: 203-432-0593 Michael Fischer Email: Last Updated: 02/14/2019 16:06:03 diff --git a/src/data/compiled_bios/1200.txt b/src/data/compiled_bios/1200.txt new file mode 100644 index 0000000000..d92a9ced92 --- /dev/null +++ b/src/data/compiled_bios/1200.txt @@ -0,0 +1 @@ + Denys Poshyvanyk, Ph.D. Home | Students | Publications | Research | Service | Software | Teaching | CV | Links Class of 1953 Term Distinguished Associate Professor Computer Science Department The College of William and Mary McGlothlin-Street Hall 105 Williamsburg, VA 23185 Phone (office): (757) 221-3476 Fax: (757) 221-1717 Denys Poshyvanyk is a Class of 1953 Term Distinguished Associate Professor in the Computer Science Department at William and Mary ( see W&M by numbers ) where he leads SEMERU research group. He received his Ph.D. from Wayne State University , where he was advised by Dr. Andrian Marcus . His current research is in the area of software engineering, evolution and maintenance, program comprehension, mobile app (Android) development, maintenance and testing, reverse engineering, repository mining, source code analysis, traceability, performance testing, reuse. His papers received several Best Paper Awards at ICPC'06, ICPC'07, ICSM'10, SCAM'10, ICSM'13, ICPC'18 ERA, and ACM SIGSOFT Distinguished Paper Awards at ASE'13, ICSE'15, ESEC/FSE'15, ICPC'16 and ASE'17. He also received the Most Influential Paper Awards at ICSME'16 and ICPC'17. He is a recipient of the NSF CAREER award (2013). He currently serves on the editorial board of IEEE Transactions on Software Engineering (TSE), Empirical Software Engineering Journal (EMSE, Springer) and Journal of Software: Evolution and Process (JSEP, Wiley). He served on the steering committee of the IEEE International Conference on Software Maintenance and Evolution ( ICSME ) and IEEE International Conference on Program Comprehension ( ICPC ). He also served as a PC Co-chair for MobileSoft19 , ICSME'16 , ICPC'13 , WCRE'12 , and WCRE'11 . He is also a member of the CRA-E committee. Please refer to the following software page for the list of current projects, tools and source code. News: - Our paper " On Learning Meaningful Code Changes via Neural Machine Translation " has been accepted to ICSE'19 ! - Serving as a Program Committee Co-Chair for 6th IEEE/ACM International Conference on Mobile Software Engineering and Systems ( MobileSoft19 ). Submit your work to MobileSoft'19! - Received Distinguished Reviewer Award at 33rd IEEE/ACM International Conference on Automated Software Engineering ( ASE18 ) - We gratefully acknowledge NSF for supporting our new project on " Natural GUI-Based Testing of Mobile Apps via Mining Software Repositories ", [ abstract ] - We gratefully acknowledge NSF for supporting our new project (with Adwait Nadkarni ) on " Enabling Systematic Evaluation of the Soundness of Android Security Analysis Techniques ", [ abstract ] - Our paper on Discovering Flaws in Security-Focused Static Analysis Tools for Android using Systematic Mutation has been accepted to USENIX'18 ! - Chris Vendome will be joining the Department of Computer Science and Software Engineering at Miami University as a Tenure-track Assistant Professor in Fall 2018 - We released AutoenCODE , which is a Deep Learning infrastructure that allows to encode source code fragments into vector representations, which can be used to learn similarities [ link ] - Invited to give keynote talks at MobileSoft'18 and ICPC'18 ! - ICSE'18 accepts TWO papers on licensing bugs and detecting GUI design violations in Android apps! - Joined Editorial Board of IEEE Transactions on Software Engineering ( TSE )! - W&M published a featured article about my group's work - Our ASE'17 paper on " Automatically Assessing Code Understandability: How Far Are We? " receives ACM SIGSOFT Distinguished Paper Award ! - Our paper on " Enabling Mutation Testing for Android Apps "was presented at FSE'17 ! - Our paper on Continuous, Evolutionary and Large-Scale: A New Perspective for Automated Mobile App Testing was presentedat ICSME'17 - Our ICPC'07 paper from ten years ago receives the Most Influential Paper Award at ICPC'17 ! - Selected as a Distinguished Referee for ACM Transactions on Software Engineering and Methodology (for 2015 and 2016 years) - OC member for SANER'18 Reproducibility and Negative Results Track and and MobileSoft'18 Tool Demo Track - PC member for FSE'19 , ASE'18 , MSR'18 , ICPC'18 , SANER'18 and ICSE'18 - Our ICSM'06 paper from ten years ago receives the Most Influential Paper Award at ICSME'16 ! - Our ICPC'16 paper receives ACM SIGSOFT Distinguished Paper Award ! - Recently accepted papers at TSE , JSS , ASE'18 , ICSME'18 , ICSE'18 , TOSEM , USENIX'18 - Mario successfully defended his dissertation! Mario will be joining Universidad de los Andes , Colombia as a tenure-track Assistant Professor in Fall 2016! diff --git a/src/data/compiled_bios/1201.txt b/src/data/compiled_bios/1201.txt new file mode 100644 index 0000000000..3db86b05cf --- /dev/null +++ b/src/data/compiled_bios/1201.txt @@ -0,0 +1 @@ + Bin Ren Assistant Professor in College of William and Mary Home Publications CV I joined the Computer Science Department of College of William and Mary as an Assistant Professor in Fall 2016. I received my Ph.D from the Department of Computer Science and Engineering , Ohio State University in 2014 under the supervision of Prof. Gagan Agrawal . I was a post-doctoral research associate in High Performance Computing group of Pacific Northwest National Laboratory with Dr. Sriram Krishnamoorthy . Research interests: Programming systems and compiler support for parallel computing Parallelization for data-intensive and compute-intensive applications Runtime scheduling strategies for SIMD and multi-core systems Programming models for irregular applications Recent and Selected Publications (full list) [CGO'2019] Ruiqin Tian*, Junqiao Qiu*, Zhijia Zhao, Xu Liu, Bin Ren (* co-primary), Transforming Query Sequences for High-Throughput B+ Tree Processing on Many-core Processors , The 2019 International Symposium on Code Generation and Optimization (CGO), February, 2019. (Acceptance Rate: 21/69 = 31%) [PACT'2018] Zhen Peng, Alexander Powell, Bo Wu, Tekin Bicer, Bin Ren , GraphPhi: Efficient Parallel Graph Processing on Emerging Throughput-oriented Architectures , The 27th International Conference on Parallel Architectures and Compilation Techniques (PACT), November, 2018. (Acceptance Rate: 36/126 = 29%) [eScience'2017] Tekin Bicer, Doga Gursoy, Rajkumar Kettimuthu, Ian T. Foster, Bin Ren , Vincent De Andrede, Francesco De Carlo, Real-Time Data Analysis and Autonomous Steering of Synchrotron Light Source Experiments , The 13th IEEE International Conference on e-Science (eScience), October, 2017. [PPoPP'2017] Bin Ren , Sriram Krishnamoorthy, Kunal Agrawal, Milind Kulkarni, Exploiting Vector and Multicore Parallelism for Recursive Data- and Task-Parallel Programs , The 22nd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP), February, 2017. (Acceptance Rate: 29/132 = 22%) [TACO'2017] Mehmet Can Kurt, Sriram Krishnamoorthy, Gagan Agrawal, Bin Ren , User-Assisted Store Recycling for Dynamic Task Graph Schedulers , The ACM Transactions on Architecture and Code Optimization (TACO), January, 2017. (Original work, invited to HiPEAC'17 ) [PACT'2016] Junqiao Qiu, Zhijia Zhao, Bin Ren , MicroSpec: Fine-Grained Speculative Parallelization for FSM Computations , The 25th International Conference on Parallel Architecture and Compilation Techniques (PACT), September, 2016. (Acceptance Rate: 31/119 = 26%) [pdf] [ICPP'2016] Jeff Daily, Ananth Kalyanaraman, Sriram Krishnamoorthy, Bin Ren , On the Impact of Widening Vector Registers on Sequence Alignment , The 45th annual International Conference on Parallel Processing (ICPP), August, 2016. (Acceptance Rate: 53/251 = 21%) [PLDI'2015] Bin Ren , Youngjoon Jo, Sriram Krishnamoorthy, Kunal Agrawal, Milind Kulkarni, Efficient Execution of Recursive Programs on Commodity Vector Hardware , The 36th annual ACM SIGPLAN conference on Programming Language Design and Implementation (PLDI), June, 2015. (Acceptance Rate: 58/303 = 19%) [pdf] [IPDPS'2015] Linchuan Chen, Xin Huo, Bin Ren , Surabhi Jain, Gagan Agrawal, Efficient and Simplified Parallel Graph Processing over CPU and MIC , The 29th IEEE International Parallel & Distributed Processing Symposium (IPDPS), May, 2015. (Acceptance Rate: 108/496 = 21%) [pdf] [ICS'2014] Xin Huo, Bin Ren , Gagan Agrawal, A Programming System for Xeon Phis with Runtime SIMD Parallelization , The 28th International Conference on Supercomputing (ICS), June, 2014. (Acceptance Rate: 34/162 = 21%) [pdf] [TACO'2014] Bin Ren , Todd Mytkowicz, Gagan Agrawal, A Portable Optimization Engine for Accelerating Irregular Data-Traversal Applications on SIMD Architectures , The ACM Transactions on Architecture and Code Optimization (TACO), 2014. [pdf] [CGO'2013] Bin Ren , Gagan Agrawal, James R. Larus, Todd Mytkowicz, Tomi Poutanen, Wolfram Schulte, SIMD Parallelization of Applications that Traverse Irregular Data Structures , The 2013 International Symposium on Code Generation and Optimization (CGO), February, 2013 (CACM Research Highlight Nomination, SIGPLAN Research Highlight, Best Paper Award) . (Acceptance Rate: 33/117 = 28%) [pdf] [PACT'2011] Bin Ren , Gagan Agrawal, Compiling Dynamic Data Structure in Python to Enable the Use of Multi-core and Many-core Libraries , The 20th International Conference on Parallel Architectures and Compilation Techniques (PACT), October, 2011 (Acceptance Rate: 36/221 = 16%). [pdf] Students Ph.D.: Ruiqin Tian, Zhen Peng, Qihan Wang, Yu Chen, Wei Niu Master: Alexander Powell (Graduated in SP'17), Eunyoung Cho (Graduated in SP'17) Professional Services Organization Committee: ICS'18 (Submission Chair) Program Committee (Conference): PACT'18, HiPC'18/17/15, NPC'18, ICCCN'18, HPCC'16/15, ICPADS'16, ICPP'15 Program Committee (Workshop): WOLFHPC'17/16, IPDRM'17, HIPS'16/15 Journal Reviewer: TPDS'18/17, TACO'17, CSUR'17, SmartGrid'17, IJPP'17/16, JPDC'17/16/15/14/13, TKDE'14 Conference Reviewer: IPDPS'16/15, ICPP'16, PPoPP'15, PACT'15, CCGrid'15, NPC'15/14 Teaching SP2019, CS680 Compiler and Parallel Computing AU2018, CS304 Computer Organization SP2018, CS780 Compiler Optimization for High Performance Computing AU2017, CS304 Computer Organization SP2017, CS304 Computer Organization AU2016, CS680 Compiler Optimization for High Performance Computing AU2013, CSE2421 System I: Introduction to Low Level Programming and Computer Organization SP2013, CSE2421 System I: Introduction to Low Level Programming and Computer Organization SU2010, CSE459.23 Programming in Java, CSE459.22 Programming in C++ SP2010, CSE459.22 Programming in C++ WI2010, CSE459.23 Programming in Java Contact Information Office: McGlothlin-Street Hall 116 Email: bren [at] cs.wm.edu Phone: 757-221-3457 Mailing Address: Computer Science Department College of William & Mary McGlothlin-Street Hall 126 251 Jamestown Rd. Williamsburg, VA 23185 RA position is available I am looking for self-motivated PhD students, now! Please email me if you are interested in my research. Last update: 12-10, 2018 diff --git a/src/data/compiled_bios/1202.txt b/src/data/compiled_bios/1202.txt new file mode 100644 index 0000000000..16bafbc9fd --- /dev/null +++ b/src/data/compiled_bios/1202.txt @@ -0,0 +1 @@ +ChrisShenefiel Adjunct Lecturer Office :McGlothlin-Street Hall 106 Email : cashenefiel@wm.edu Office Phone :757-221-3465 Areas of Specialization Cybersecurity Education M.S., University of Illinois Urbana-Champaign diff --git a/src/data/compiled_bios/1203.txt b/src/data/compiled_bios/1203.txt new file mode 100644 index 0000000000..26189cdb3e --- /dev/null +++ b/src/data/compiled_bios/1203.txt @@ -0,0 +1 @@ + Evgenia Smirni Sidney P. Chockley Professor College of William and Mary Computer Science Department Mailing address College of William and Mary Department of Computer Science P.O. Box 8795 Williamsburg, VA 23187-8795 Office McGlothlin-Street Hall, 103 Phone: +1-757-221-3580 Fax: +1-757-221-1717 Main Office: +1-757-221-3455 Full CV [ PDF ] For electronic contact info: please refer to the CV Research Interests Performance Evaluation, Models for Computer Performance Prediction, Scheduling/Load Balancing, Reliability, Workload Characterization, Markov Chains, Matrix-Analytic Methods, Departure Process, Performance Tools, Storage Systems, Web Servers, Data Centers, Cloud Computing List of Publications (incomplete, from the DBLP Bibliography Server) (for a full list take a look at the CV and email me if there is a paper that you cannot access) Software MAMSolver Tool KPC ToolBox I was elected to IFIP W.G. 7.3 in October 2010 Service to the Community/Conference Committees Program committee co-chair HPDC 2019, The 28th ACM International Symposium on High-Performance Parallel and Distributed Computing Program committee co-chair SRDS 2019, The 38th IEEE International Symposium on Reliable Distributed Systems Program committee co-chair DSN 2017, The 47th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Program committee co-chair ICPE 2017, The 8th ACM/SPEC International Conference on Performance Engineering General co-chair QEST'10 and Numerical Solutions of Markov Chains 2010 Program committee co-chair HotMetrics 2010 Program committee co-chair SIGMETRICS/Performance'06 Program committee co-chair QEST'05 Editor Performance Evaluation Review 2003-2009 Associate Editor ACM Transactions on Modeling and Performance Evaluation of Computing Systems 2015 - Collaborators, Past and Present Students Bin Nie , Ph.D. student, in progress Lishan Yang , Ph.D. student, in progress Jacob Alter, Ph.D. student, in progress Ji Xue , Ph.D. graduated May 2017, now at Google Feng Yan , Ph.D. graduated May 2016, now Assistant Professor at University of Nevada at Reno. Jiawei Wen, M.S., graduated 2016. Lihua Ren, M.S., graduated 2016. Lei Lu , Ph.D. graduated December 2014, now at VMWare, Palo Alto, CA. Shannon Hughes, M.S. student, graduated May 2013, Xenia Mountrouidou , Postdoctoral Research Associate 2009-2011, now Assistant Prof. at Jacksonville State University Giuliano Casale, Postdoctoral Research Associate 2007--2008, now Associate Professor at Imperial College London. Ningfang Mi, Ph.D. graduated May 2009, now Associate Professor, Northeastern University. Qi Zhang, Ph.D., graduated December 2006, now at Microsoft Redmont. Zhili Hua, M.S., graduated 2005 Ling Liu, M.S., graduated 2004 Alma Riska ,Ph.D., graduated November 2002, first placement at Seagate Research, now at NetApp, Boston, MA. Vesselin Diev, M.S., graduated 2002 Daniela Puiu, M.S., graduated 2002 Melissa Rau, M.S., graduated 1999, NASA Langley Last modified on October 2012 diff --git a/src/data/compiled_bios/1204.txt b/src/data/compiled_bios/1204.txt new file mode 100644 index 0000000000..c5efb28708 --- /dev/null +++ b/src/data/compiled_bios/1204.txt @@ -0,0 +1 @@ + Andreas Stathopoulos Professor Department of Computer Science College of William and Mary Software Teaching Research Publications Vita Contact Information College of William & Mary Department of Computer Science P.O. Box 8795 Williamsburg, VA 23187-8795 Office: MS-Hall, 104B. (757) 221-3483 (Office) (757) 221-1717 (Fax) (757) 221-3455 (Main Office) Email: My_First_Name @cs.wm.edu Software The official release of PRIMME preconditioned eigensolver is available for free download. Teaching In Spring 2019, I teach two sections of CSCI 243 Discrete Structures Courses I have taught: CS 141 Introduction to Computer Science, CS 243 Discrete Structures, CS 303 Algorithms, CS 653 Analysis of Algorithms, CS 420 Undergraduate Modeling, Simulation and Analysis CS 424 Computer Architecture, CS 649 Computational Methods, CS 654 Advanced Computer Architecture, CS 774 Parallel Computing, CS 749 Numerical Algorithms CS 780 Big Data Research Publications / Technical reports Curriculum Vitae (Jan '19) [ .pdf ] Research Interests Numerical Linear Algebra Eigenvalue methods and preconditioning Restarting techniques for iterative methods Iterative methods for linear systems Systems with multiple right hand sides Algebraic multigrid Computational sciences, scientific computing, and mathematical software Materials science "ab-initio" applications Quantum Chromodynamics (QCD) applications Robust, and black-box eigenvalue iterative solvers Efficient parallel software development Computational geometry, data mining Parallel and high performance computing Application-level management of resources, esp. memory Load Balancing Hybrid coarse/fine grain computing Applications Academic Genealogy My Erds number is 3. Students Steven Goldenberg, (M.S., 2017) (currently a Ph.D. student) Lingfei Wu (Ph.D., 2016) (now at IBM Research, Watson) Jesse Laeuchli (Ph.D., 2016) (Assist. Prof. Embry-Riddle Aeronautical University) Chuong Ngo (M.S., 2016) Jesse Laeuchli (M.S., 2013) Reed G. Ruddy, (M.S., 2013) J. M. Trindle (M.S., 2008) J. R. McCombs (Ph.D., 2007) R. T. Mills (Ph.D., 2004) (now at Argonne National Lab) A. Schwartz (M.S., 2007) E. Wiebel (M.S., 2002) M. Staron (M.S., 2000) Postdocs Eloy A. Romero (current) Abdou M Abdel-Rehim (2008-2010) Research Groups and Affiliations DOE's Jefferson Lab Children An old but nice picture of George and Joanna Other interests and Sites of interest Music Traveling Basketball and racket ball Skiing / biking Cooking National Public Radio New York Times on the Web Scientific American News about Greece Mac OSX diff --git a/src/data/compiled_bios/1205.txt b/src/data/compiled_bios/1205.txt new file mode 100644 index 0000000000..2c65536104 --- /dev/null +++ b/src/data/compiled_bios/1205.txt @@ -0,0 +1 @@ +KunSun Adjunct Associate Professor Institution :George Mason University Email : ksun@wm.edu Areas of Specialization Computer security Education Ph.D, North Carolina State University diff --git a/src/data/compiled_bios/1206.txt b/src/data/compiled_bios/1206.txt new file mode 100644 index 0000000000..289f7ee0aa --- /dev/null +++ b/src/data/compiled_bios/1206.txt @@ -0,0 +1 @@ + chancellor professor of computer science dean of graduate studies and research, college of arts & sciences home education teaching office hours myWM Banner Bb research publications software articles presentations scholar.google service external advisory program committees professional societies college departmental contact dean's office contacts directions to ewell hall graduate office contacts directions to stetson house departmental contacts directions to mcglothlin-street hall Last updated Saturday, 3-Aug-2013. Copyright Virginia Torczon . All Rights Reserved. The Department of Computer Science Arts & Sciences Graduate Program The College of William & Mary William & Mary Events diff --git a/src/data/compiled_bios/1207.txt b/src/data/compiled_bios/1207.txt new file mode 100644 index 0000000000..d0a2a6db03 --- /dev/null +++ b/src/data/compiled_bios/1207.txt @@ -0,0 +1 @@ + Haining Wang Adjunct Faculty Member Department of Computer Science College of William and Mary P.O. Box 8795 Williamsburg, VA 23187 Email-ID AT cs.wm.edu: hnw Since fall 2014, I have been a full-time faculty member at University of Delaware and visit homepage there. Research Interests Security; Networking Systems; Cloud Computing; Cyber-Physical Systems; Wireless and Mobile Computing. Teaching CS444/544, Operating Systems (Fall 2008, 2007) CS454/554, Computer and Network Security (Spring 2014 , Fall 2011, Spring 2008, 2007, 2006, 2005, 2004) CS634, Advanced Computer Networks (Fall 2013 , 2012, 2010, 2006, 2005, 2004, 2003) CS 780 Advanced Network Security (Spring 2009, 2011) Recent Professional Services TPC Member of ACNS 2012, DSN 2012, ICDCS 2011, 2012, INFOCOM 2011, 2012, IWQoS 2011, 2012, SECRYPT 2012, WWW 2012. TPC Co-Chair of the International Symposium on Quality of Servic ( IWQoS 2013 ). Poster and Demo Co-Chair of the 19th ACM Computer and Communications Security Conference ( ACM CCS 2012 ). Recent and Selected Publications Zhenyu Wu, Zhang Xu, and Haining Wang, Whispers in the Hyper-space: High-bandwidth and Reliable Covert Channel Attacks inside the Cloud, To appear in IEEE/ACM Transactions on Networking , 2014. Nan Zheng, Kun Bai, Hai Huang, Haining Wang, You Are How You Touch: User Verification on Smartphones via Tapping Behaviors, In IEEE ICNP 2014, Research Triangle Park, NC, October 2014. Zhang Xu, Haining Wang, Sushil Jajodia, Gemini: An Emergency Line of Defense against Phishing Attacks, In IEEE SRDS 2014, Nara, Japan, October 2014. Haitao Xu, Daiping Liu, Aaron Koehl, Haining Wang, Angelos Stavrou, Click Fraud Detection on the Advertiser Side, In ESORICS 2014, Wroclaw, Poland, September 2014. Fengwei Zhang, Haining Wang, Kevin Leach, Angelos Stavrou, A Framework to Secure Peripherals at Runtime, In ESORICS 2014, Wroclaw, Poland, September 2014. Zhen Ren, Xin Qi, Gang Zhou, and Haining Wang Exploiting the Data Sensitivity of Neurometric Fidelity for Optimizing EEG Sensing, In ,IEEE Internet of Things Journal, Vol. 1, No. 3, June 2014. Brett Cooley, Haining Wang, Angelos Stavrou, Activity Spoofing and Its Defense in Android Smartphones, In ACNS 2014, Lausanne, Switzerland, June 2014. Daiping Liu, Haining Wang, and Angelos Stavrou, Detecting Malicious Javascript in PDF through Document Instrumentation, In IEEE DSN 2014, Atlanta, GA, June 2014. Yubao Zhang, Xin Ruan, Haining Wang, and Hui Wang, What Scale of Audience a Campaign can Reach in What Price on Twitter?, In IEEE INFOCOM 2014, Toronto, Canada, April 2014. Hemant Sengar, Haining Wang, and Seyed Amir Iranmanesh, Wiretap-proof: What They Hear is Not What You Speak, and What You Speak They Do Not Hear, In ACM CODASPY 2014, San Antonio, TX, March 2014. Zhang Xu, Haining Wang, Zichen Xu, and Xiaorui Wang, Power Attack: An Increasing Threat to Data Centers, In Network and Distributed System Security (NDSS) Symposium 2014, San Diego, CA, February 2014. Zhenyu Wu, Yueping Zhang, Vishal Singh, Guofei Jiang, and Haining Wang, Automating Cloud Network Optimization and Evolution, In IEEE Journal on Selected Areas in Communications (JSAC), December 2013. Xin Ruan, Chuan Yue and Haining Wang, Unveiling Privacy Setting Breaches in Online Social Networks, In SECURECOMM 2013 , Sydney, Australia, September 2013. Jidong Xiao, Zhang Xu, Hai Huang, and Haining Wang, Security Implications of Memory Deduplication in a Virtualized Environment, In IEEE DSN 2013 , Budapest, Hungary, June 2013. Jing Jin, Jeff Offutt, Nan Zheng, Feng Mao, Aaron Koehl, and Haining Wang, Evasive Bots Masquerading as Human Beings on the Web, In IEEE DSN 2013 , Budapest, Hungary, June 2013. Chuan Yue and Haining Wang, A Measurement Study of Insecure JavaScript Practices on the Web, In ACM Transactions on the Web (TWEB) , Vol. 7, No. 2, May 2013. Zi Chu, Steven Gianvecchio, Aaron Koehl, Haining Wang, and Sushil Jajodia, Blog or Block: Detecting Blog Bots through Behavioral Biometrics, In Computer Networks (COMNET) , Vol. 57, No. 3, February 2013. Zhenyu Wu, Mengjun Xie, Haining Wang, On Energy Security of Server Systems, In IEEE Transactions on Dependable and Secure Computing , Vol. 9, No. 6, December 2012. Zi Chu, Steven Gianvecchio, Haining Wang, Sushil Jajodia, Detecting Automation of Twitter Accounts: Are You a Human, Bot, or Cyborg?, In IEEE Transactions on Dependable and Secure Computing , Vol. 9, No. 6, December 2012. Aaron Koehl and Haining Wang, m.Site: Efficient Content Adaptation for Mobile Devices, In ACM/IFIP/USENIX Middleware 2012 , Montreal, Canada, December 2012. Seyed Amir Iranmanesh, Hemant Sengar, Haining Wang, A Voice Spam Filter to Clean Subscribers' Mailbox, In SECURECOMM 2012 , Padua, Italy, September 2012. Zhenyu Wu, Zhang Xu and Haining Wang, Whispers in the Hyper-space: High-speed Covert Channel Attacks in the Cloud, In USENIX Security Symposium 2012 , Bellevue, WA, August 2012. Zi Chu, Indra Widjaja, and Haining Wang, Detecting Social Spam Campaigns on Twitter, In ACNS 2012 , Singapore, June 2012. Zhenyu Wu, Yueping Zhang, Vishal Singh, Guofei Jiang and Haining Wang, NetDEO: Automating Network Design, Evolution, and Optimization, In IEEE/ACM IWQoS 2012 , Coimbra, Portugal, June 2012. Bo Sang, Jianfeng Zhan, Gang Lu, Haining Wang, Dongyan Xu, and Lei Wang, Precise, Scalable, and Online Request Tracing of Multi-tier Services of Black Boxes, In IEEE Transactions on Parallel and Distributed Systems , Vol. 23, No. 6, June 2012. Aaron Koehl and Haining Wang, Surviving a Search Engine Overload, In WWW 2012 , Lyon, France, April 2012. Mengjun Xie, Indra Widjaja, and Haining Wang, Enhancing Cache Robustness for Content-Centric Networking, In IEEE INFOCOM 2012 , Orlando, FL, March 2012. Duy Le, Hai Huang, and Haining Wang, Understanding Performance Implications of Nested File Systems in a Virtualized Environment, In USENIX FAST 2012 , San Jose, CA, February 2012. Mengjun Xie, Zhenyu Wu, and Haining Wang, Secure Instant Messaging In Enterprise-like Networks, In Computer Networks (COMNET) , Vol. 56, No. 1, January 2012. Nan Zheng, Aaron Paloski, and Haining Wang, An Efficient User Verification System via Mouse Movements, In ACM CCS 2011 , Chicago, IL, October 2011. Zhenyu Wu, Mengjun Xie, and Haining Wang, Energy Attack on Server Systems, In USENIX WOOT 2011 , San Francisco, CA, August 2011. Steven Gianvecchio, Mengjun Xie, Zhenyu Wu, and Haining Wang, Humans and Bots in Internet Chat: Measurement, Analysis, and Automated Classification, In IEEE/ACM Transactions on Networking , Vol. 19, No. 5, 2011. Zhenyu Wu, Mengjun Xie, and Haining Wang, Design and Implementation of a Fast Dynamic Packet Filter, In IEEE/ACM Transactions on Networking , Vol. 19, No. 5, 2011. Steven Gianvecchio and Haining Wang, An Entropy-Based Approach to Detecting Covert Timing Channels, In IEEE Transactions on Dependable and Secure Computing , Vol. 8, No. 6, 2011. Duy Le and Haining Wang, An Effective Memory Optimization for Virtual-Machine Based Systems, In IEEE Transactions on Parallel and Distributed Systems , Vol. 22, No. 10, 2011. Zhen Ren, Gang Zhou, Andrew Pyles, Matthew Keally, Weizhen Mao, and Haining Wang, BodyT2: Throughput and Time Delay Performance Assurance for Heterogeneous BSNs, In IEEE INFOCOM 2011 , Shanghai, China, April 2011. Zi Chu and Haining Wang, An Investigation of Hotlinking and Its Countermeasures, In Computer Communications , Vol. 43, No. 4, April 2011. Zi Chu, Steven Gianvecchio, Haining Wang, and Sushil Jajodia, Who is tweeting on Twitter: human, bot, or cyborg? In ACSAC 2010 , Austin, TX, December 2010. Zhenyu Wu, Steven Gianvecchio, Mengjun Xie, and Haining Wang, Mimimorphism: A New Approach to Binary Code Obfuscation, In ACM CCS 2010 , Chicago, IL, October 2010. Heng Yin, Bo Sheng, Haining Wang, and Jianping Pan, Keychain-based Signatures for Securing BGP, In IEEE Journal on Selected Areas in Communications (JSAC) , Vol. 28, No. 8, October 2010. Chuan Yue, Mengjun Xie, and Haining Wang, An Automatic HTTP Cookie Management System, In Computer Networks , Vol. 54, No. 13, September 2010. Chuan Yue and Haining Wang, BogusBiter: A Transparent Protection Against Phishing Attacks, In ACM Transactions on Internet Technology , Vol. 10, No. 2, May 2010. Duy Le and Haining Wang, An Effective Feedback-Driven Approach for Energy Saving in Battery Powered Systems, In IEEE IWQoS 2010 , Beijing, China, June 2010. Mengjun Xie and Haining Wang, A Collaboration-based Autonomous Reputation System for Email Services, In IEEE INFOCOM 2010 , San Diego, CA, March 2010. Steven Gianvecchio, Zhenyu Wu, Mengjun Xie, and Haining Wang, Battle of Botcraft: Fighting Bots in Online Games with Human Observational Proofs, In ACM CCS 2009 , Chicago, IL, November 2009. Benjamin Strahs, Chuan Yue, and Haining Wang, Secure Passwords Through Enhanced Hashing, In USENIX LISA 2009 , Baltimore, MD, November 2009. Chuan Yue and Haining Wang, SessionMagnifier: A Simple Approach to Secure and Convenient Kiosk Browsing, In ACM Ubicomp 2009 , Orlando, FL, October 2009. Hemant Sengar, Xinyuan Wang, Haining Wang, Duminda Wijesekera, and Sushil Jajodia, Online Detection of Network Traffic Anomalies Using Behavioral Distance, In IEEE IWQoS 2009 , Charleston, SC, July 2009. Eli Courtwright, Chuan Yue, and Haining Wang, Efficient Resource Management on Template-based Web Servers, In IEEE DSN 2009 , Lisbon, Portugal, July 2009. Chuan Yue, Zi Chu, and Haining Wang, RCB: A Simple and Practical Framework for Real-time Collaborative Browsing, In USENIX Annual Technical Conference 2009 , San Diego, CA, June 2009. Chuan Yue and Haining Wang, Characterizing Insecure JavaScript Practices on the Web, In WWW 2009 , Madrid, Spain, April 2009. Chuan Yue and Haining Wang, Anti-Phishing in Offense and Defense, In ACSAC 2008 , Anaheim, CA, December 2008. Mengjun Xie, Heng Yin, and Haining Wang, Thwarting Email Spam Laundering, In ACM Transactions on Information and System Security (TISSEC), Vol. 12, No. 2, December 2008 Steven Gianvecchio, Haining Wang, Duminda Wijesekera, and Sushil Jajodia, Model-Based Covert Timing Channels: Automated Modeling and Evasion, In RAID 2008 , Boston, MA, September 2008. Steven Gianvecchio, Mengjun Xie, Zhenyu Wu, and Haining Wang, Measurement and Classification of Humans and Bots in Internet Chat, In USENIX Security Symposium 2008 , San Jose, CA, July 2008. Hemant Sengar, Haining Wang, Duminda Wijesekera, and Sushil Jajodia, Detecting VoIP Floods using the Hellinger Distance, In IEEE Transactions on Parallel and Distributed Systems, Vol. 19, No. 6, June 2008. Zhenyu Wu, Mengjun Xie, and Haining Wang, Swift: A Fast Dynamic Packet Filter, In USENIX NSDI 2008 , San Francisco, CA, April 2008. Mengjun Xie, Zhenyu Wu, and Haining Wang, HoneyIM: Fast Detection and Suppression of Instant Messaging Malware in Enterprise-like Networks, In ACSAC 2007 , Miami Beach, FL, December 2007. Steven Gianvecchio and Haining Wang, Detecting Covert Timing Channels: An Entropy-Based Approach, In ACM CCS 2007 , Alexandria, VA, November 2007. Xin Chen, Haining Wang, Shansi Ren, and Xiaodong Zhang, Maintaining Strong Cache Consistency for the Domain Name System, In IEEE Transactions on Knowledge and Data Engineering , Vol. 19, No. 8, August 2007. Chuan Yue, Mengjun Xie, and Haining Wang, Automatic Cookie Usage Setting with CookiePicker, In IEEE DSN 2007 , Edinburgh, UK, June 2007. Heng Yin, Sheng Bo, Haining Wang, and Jianping Pan, Securing BGP through Keychain-based Signatures, In IEEE IWQoS 2007 , Evanston, IL, June 2007. Chuan Yue and Haining Wang, Profit-aware Admission Control for Overload Protection in E-commerce Web Sites, In IEEE IWQoS 2007 , Evanston, IL, June 2007. Extended version will appear in Journal of Network and Computer Applications Haining Wang, Cheng Jin, and Kang G. Shin, Defense Against Spoofed IP Traffic Using Hop-Count Filtering, In IEEE/ACM Transactions on Networking , Vol. 15, No. 1, February 2007 Lei Guo, Xiaoning Ding, Haining Wang, Qun Li, Songqing Chen, and Xiaodong Zhang, Cooperative Relay Service in a Wireless LAN , In IEEE Journal on Selected Areas in Communications (JSAC), Vol. 25, No. 2, February 2007. Shansi Ren, Qun Li, Haining Wang, Xin Chen, and Xiaodong Zhang, Design and Analysis of Sensing Scheduling Algorithms under Partial Coverage for Object Detection in Sensor Networks , In IEEE Transaction on Parallel and Distributed Systems, Vol. 18, No. 3, March 2007 Mengjun Xie, Heng Yin, and Haining Wang, An Effective Defense Against Email Spam Laundering, In ACM CCS 2006 , Alexandria, VA, November 2006. Mengjun Xie, Keywan Tabatabai, and Haining Wang Identifying Low-Profile Web Server's IP Fingerprint, In IEEE QEST 2006 , Riverside, CA, September 2006. Xin Chen, Haining Wang, Shansi Ren, and Xiaodong Zhang, DNScup: Strong Cache Consistency Protocol for DNS, In IEEE ICDCS 2006 , Lisboa, Portugal, July 2006. Hemant Sengar, Duminda Wijesekera, Haining Wang, and Sushil Jajodia, VoIP Intrusion Detection Through Interacting Protocol State Machines, In IEEE DSN 2006 , Philadelphia, PA, June 2006. Hemant Sengar, Haining Wang, Duminda Wijesekera, and Sushil Jajodia, Fast Detection of Denial of Service Attacks on IP Telephony, In IEEE IWQoS 2006 , New Haven, CT, June 2006. Lei Guo, Xiaoning Ding, Haining Wang, Qun Li, Songqing Chen, and Xiaodong Zhang, Exploiting Idle Communication Power for Improving Wireless Network Performance and Energy Utility, In IEEE INFOCOM 2006, Barcelona, Spain, April 2006. Haining Wang, Abhijit Bose, Mohamed El-Gendy, and Kang G. Shin IP Easy-pass: A Light-weight Network-edge Resource Access Control, In IEEE/ACM Transactions on Networking , Vol. 13, No. 6, December 2005. Cheryl D. Morse and Haining Wang The Structure of an Instant Messenger Network and its Vulnerability to Malicious Codes, In ACM SIGCOMM 2005 Poster Session , Philadelphia, PA, August 2005. Poster slides in PowerPoint . A real story happened at William and Mary on 08/28/05. Heng Yin and Haining Wang Building an Application-aware IPsec Policy System, In USENIX Security Symposium 2005, Baltimore, MD, August, 2005. The prototype implementation is available here. A revised version will appear in IEEE/ACM Transactions on Networking . Songqing Chen, Haining Wang, Bo Shen, Susie Wee, and Xiaodong Zhang Segment-based Proxy Caching for Internet Streaming Media Delivery, In IEEE MultiMedia, Vol. 12, No. 3, July-September, 2005. Shansi Ren, Qun Li, Haining Wang, and Xiaodong Zhang Design and Analysis of Wave Sensing Schedules for Object-Tracking Applications, In International Conference on Distributed Computing in Sensor Systems (DCOSS 2005), Marina del Rey, CA, July 2005. Shansi Ren, Qun Li, Haining Wang, Xin Chen, and Xiaodong Zhang Analyzing Object Detection Quality under Probabilistic Coverage in Sensor Networks, In International Workshop on Quality of Service (IWQoS 2005), Passau, Germany, June, 2005. Xin Chen, Shansi Ren, Haining Wang, and Xiaodong Zhang Scalable Consistency Maintenance in Structured P2P Systems, In IEEE INFOCOM 2005, Miami, FL, March 2005. Haining Wang, Danlu Zhang, and Kang G. Shin Change-Point Monitoring for Detection of DoS Attacks, In IEEE Transactions on Dependable and Secure Computing, Vol. 1, No. 4, December 2004. Shansi Ren, Qun Li, Haining Wang, Xin Chen, and Xiaodong Zhang Probabilistic Coverage for Object Tracking in Sensor Networks, In ACM MobiCom 2004 Poster Session , Philadelphia, PA, October 2004. Poster slide in PDF Xin Chen, Haining Wang, Shansi Ren, and Xiaodong Zhang Strong Cache Consistency Support for Domain Name System, In ACM SIGCOMM 2004 Poster Session , Portland, OR, September 2004. Poster slide in PDF Haining Wang, Abhijit Bose, Mohamed El-Gendy, and Kang G. Shin IP Easy-pass: Edge Resource Access Control, In IEEE INFOCOM 2004 , Hong Kong, China, March 2004. Cheng Jin, Haining Wang, and Kang G. Shin Hop-Count Filtering: An Effective Defense Against Spoofed DDoS Traffic, In ACM CCS 2003 , Washington, DC, October 2003. Haining Wang and Kang G. Shin Transport-aware IP Routers: A Built-in Protection Mechanism to Counter DDoS Attacks, In IEEE Transactions on Parallel and Distributed Systems , Vol. 14, No. 9, September 2003. Mohamed El-Gendy, Abhijit Bose, Haining Wang, and Kang G. Shin Statistical Characterization for Per-Hop QoS, In International Workshop on Quality of Service ( IWQoS 2003) , Monterey, CA, June 2003. Best Paper Award. Haining Wang and Kang G. Shin Layer-4 Service Differentiation and Resource Isolation, In IEEE RTAS 2002 , San Jose, CA, September 2002. Haining Wang, Danlu Zhang, and Kang G. Shin Sniffing SYN Flooding Sources, In IEEE ICDCS 2002 , Vienna, Austria, July 2002. Haining Wang, Danlu Zhang, and Kang G. Shin Detecting SYN Flooding Attacks, In IEEE INFOCOM 2002 , New York City, NY, June 2002. Haining Wang, Chia Shen, and Kang G. Shin Adaptive-Weighted Packet Scheduling for Premium Service, In IEEE International Conference on Communications 2001 , Helsinki, Finland, June 2001. Haining Wang and Kang G. Shin Robust TCP Congestion Recovery, In IEEE ICDCS 2001 , Phoenix, AZ, April 2001 Extended version appeared in Journal of High Speed Networks , Vol. 13, No. 2, September 2004. Indra Widjaja, Haining Wang, Steve Wright, and Amalendu Chatterjee Scalability Evaluation of Multi-protocol over ATM, In IEEE INFOCOM'99 , New York City, NY, March 1999. Links: Colllege of William and Mary Colonial Williamsburg Historic Triangle diff --git a/src/data/compiled_bios/1208.txt b/src/data/compiled_bios/1208.txt new file mode 100644 index 0000000000..686a05bc80 --- /dev/null +++ b/src/data/compiled_bios/1208.txt @@ -0,0 +1 @@ +MartinWhite Adjunct Lecturer Office :McGlothlin-Street Hall 106 Email : mgwhite@wm.edu Office Phone : Areas of Specialization Software engineering Education Ph.D., William & Mary diff --git a/src/data/compiled_bios/1209.txt b/src/data/compiled_bios/1209.txt new file mode 100644 index 0000000000..80b99e05a4 --- /dev/null +++ b/src/data/compiled_bios/1209.txt @@ -0,0 +1 @@ +DanaWillner Lecturer Office :McGlothlin-Street Hall 328 Email : dlwillner@wm.edu Office Phone :757-221-1702 Webpage : Areas of Specialization Bioinformatics and biostatistics Education Ph.D., San Diego State University/University of California San Diego diff --git a/src/data/compiled_bios/121.txt b/src/data/compiled_bios/121.txt new file mode 100644 index 0000000000..b84ce287ff --- /dev/null +++ b/src/data/compiled_bios/121.txt @@ -0,0 +1 @@ +David Gelernter is professor of computer science at Yale, chief scientist at Mirror Worlds Technologies, contributing editor at the Weekly Standard and member of the National Council of the Arts. Hes the author of several books and many technical articles; also essays, art criticism and fiction. The tuple spaces introduced in Carriero and Gelernters Linda system (1983) are the basis of many computer-communication and distributed programming systems worldwide. Mirror Worlds (1991) foresaw the World Wide Web (Reuters, 3/20/01) and was one of the inspirations for Java; the lifestreams system (first implemented by Eric Freeman at Yale) is the basis for Mirror Worlds Technologies software. Breaking out of the box (NY Times magazine, 97) forecast and described the advent of less-ugly computers (Apples iMac arrived in 98). Gelernters essays are widely anthologized (for example in J. Brockman, ed., The Next Fifty Years: new essays from 25 of the worlds leading scientists (Vintage, 2002), R. Stolley, ed., Life Magazine - Century of Change, (Little Brown, 2001), and the ACMs 50th Anniversary collection). Hes the author of The Muse in the Machine (1994, about poetry and AI), the novel 1939 (1995), Machine Beauty (1998, about aesthetics and technology) and other books; hes published in Commentary, ArtNews, Washington Post and many others. Recent talks include the Bradley Lecture at the American Enterprise Institute, keynotes at Agenda 2003, Intl. Wireless World, PC Expo, and the 2002 Organick Lecture in Computer Science at Univ Utah. Representative Publications: Three programming systems and a computational model of everything, in Peter J. Denning, ed., ACMs new [still untitled] Visions-of-computing Anthology, forthcoming, mid-August 01. Twentieth Century Machines, in R. Stolley, ed., LIFE Century of Change (2000). Computers and the pursuit of happiness, COMMENTARY, Dec 2000. Now that the PC is dead, WALL STREET JOURNAL millennium issue, Jan 1, 2000 diff --git a/src/data/compiled_bios/1210.txt b/src/data/compiled_bios/1210.txt new file mode 100644 index 0000000000..e652253234 --- /dev/null +++ b/src/data/compiled_bios/1210.txt @@ -0,0 +1 @@ +GangZhou Associate Professor Office :McGlothlin-Street Hall 134 Email : gzhou@cs.wm.edu Office Phone :757-221-3458 Webpage : http://gzhou.blogs.wm.edu/ Areas of Specialization Wireless networks, sensor systems, internet of things, smart health, ubiquitous and mobile computing Education PhD, Computer Science, University of Virginia, 2007. diff --git a/src/data/compiled_bios/1211.txt b/src/data/compiled_bios/1211.txt new file mode 100644 index 0000000000..330223f94b --- /dev/null +++ b/src/data/compiled_bios/1211.txt @@ -0,0 +1 @@ + Martn Abadi Papers Books: A Theory of Objects La scurit informatique Courses: A course at the Collge de France (2011) Some other courses, mostly at UCSC Some journals, magazines, conferences, and other events: Communications of the ACM Foundations and Trends in Programming Languages Foundations and Trends in Privacy and Security Logic in Computer Science (LICS) Workshop on security and languages (a long time ago: October 1997) Contact information Martn Abadi diff --git a/src/data/compiled_bios/1212.txt b/src/data/compiled_bios/1212.txt new file mode 100644 index 0000000000..4cd1faeb3b --- /dev/null +++ b/src/data/compiled_bios/1212.txt @@ -0,0 +1 @@ + Dimitris Achlioptas Department of Computer Science UC Santa Cruz 1156 High Street MS: SOE3 Santa Cruz, CA 95064, U.S.A. Office: E2 343 email: last five letters of last name@cs.ucsc.edu T +1 (831) 459 1081 F +1 (831) 459 4829 Recent Work Sufficient conditions for stochastic local search Probabilistic models of network formation (Quanta Magazine article, July 2015) Applications of coding theory in machine learning Selected Papers Random Walks that Find Perfect Objects and the Lovasz Local Lemma J. ACM, 22:1-22:29 (2016). Explosive Percolation in Random Networks Science 2009, 323, 1453 - 1455 The Two Possible Values of the Chromatic Number of a Random Graph Annals of Mathematics, 162 (3), (2005), 1333-1349. Rigorous Location of Phase Transitions in Hard Optimization Problems Nature, 435 (2005), 759-764. Preprints A New Perspective on Stochastic Local Search and the Lovasz Local Lemma (with F. Iliopoulos, A. Sinclair), submitted. Fast Sampling of Perfectly Uniform Satisfying Assignments (with Z. Hammoudeh, P. Theodoropoulos), SAT'18, to appear. Fast and Flexible Probabilistic Model Counting (with Z. Hammoudeh, P. Theodoropoulos), SAT'18, to appear. Product Measure Approximation of Symmetric Graph Properties (with P. Siminelakis) , Information & Computation, to appear. 2017 SkipGram - Zipf + Uniform = Vector Additivity (with A. Gittens, M.W. Mahoney) ACL'17: 69-76 . Stochastic Control via Entropy Compression (with F. Iliopoulos, N. Vlassis ) ICALP'17, 469-479 . Time-invariant LDPC convolutional codes (with S. Hassani, W. Liu, R. Urbanke) ISIT'17, 366-370. Probabilistic Model Counting with Short XORs (with P. Theodoropoulos) SAT'17, 3-19. 2016 Random Walks that Find Perfect Objects and the Lovasz Local Lemma (with F. Iliopoulos) J. ACM, 63 (3): 22:1-22:29 . Bounds for Random Constraint Satisfaction Problems via Spatial Coupling (with H. Hassani, N. Macris, R. Urbanke) SODA'16, 469-479 . Focused Local Search and the Lovasz Local Lemma (with F. Iliopoulos) SODA'16, 2024-2038. 2015 Symmetric Graph Properties have Independent Edges (with P. Siminelakis) ICALP'15, 467-478. Stochastic Integration via Error-Correcting Codes (with P. Jiang) UAI'15, 22-31. Navigability is a Robust Property (with P. Siminelakis) WAW'15, 78-91. 2014 Random Walks that Find Perfect Objects and the Lovasz Local Lemma (with F. Iliopoulos) FOCS'14, 494-503. Erasure Coding & Read/Write Separation in Flash Storage (with D. Skourits, N. Watkins, C. Maltzahn, S. Brandt) INFLOW'14. Flash on Rails: Consistent Flash Performance through Redundancy (with D. Skourtis, N. Watkins, C. Maltzahn, S. Brandt) USENIX ATC'14, 463-474. 2013 Near-Optimal Entrywise Sampling for Data Matrices (with Z. Karnin, E. Liberty) NIPS'13, 1565-1573. High Perfomance & Low Latency in Solid-State Drives through Redundancy (with D. Skourtis, C. Maltzahn, S. Brandt) INFLOW@SOSP'13, 6:1-6:9 2012 Unsatisfiability Lower Bounds for Random CSPs from an Energetic Interpolation Method (with R. Menchaca-Mendez) ICALP'12, pp. 1-12. Exponential Lower Bounds for DPLL Algorithms on Satisfiable Random 3-CNF Formulas (with R. Menchaca-Mendez) SAT'12, pp. 327-340. Algorithmic Improvements of the Lovasz Local Lemma via Cluster Expansion (with T. Gouleakis) FSTTCS'12, pp. 16-23. 2011 The Solution Space Geometry of Random Linear Equations (with M. Molloy) Random Structures & Algorithms, 46, 197-231. 2010 On the solution-space geometry of random constraint satisfaction problems (with A. Coja-Oghlan, F. Ricci-Tersenghi) Random Structures & Algorithms, 38, 251-268. 2009 Explosive Percolation in Random Networks (with R. D'Souza, J. Spencer) Report in New Scientist Science 2009, 323, 1453 - 1455 Random Satisfiability Handbook of Satisfiability, Eds. A. Biere et al., IOS Press, 243-268 (2009) On the Bias of Traceroute Sampling (with A. Clauset, D.Kempe, C. Moore) Journal of ACM, 56 (4), Article 21 (June 2009). Random Formulas have Frozen Variables (with F. Ricci-Tersenghi) SIAM Journal of Computing, 39 (2009), 260-280. 2008 Algorithmic Barriers from Phase Transitions (with A. Coja-Oghlan) FOCS'08, pp. 793802. Solution Clustering in Random Satisfiability European Physics Journal B, 64, (2008), 395-402. 2007 On the maximum satisfiability of random formulas (with A. Naor, Y. Peres) Journal of ACM, 54 (2), Article 9, (2007). Fast Computation of Low-Rank Approximations (with F. McSherry) Journal of ACM, 54 (2), Article 10, (2007). 2006 Random k-SAT: Two Moments Suffice to Cross a Sharp Threshold (with C. Moore) SIAM Journal of Computing, 36, (2006), 740-762. On the Solution-Space Geometry of Random Constrain Satisfaction Problems (with F. Ricci-Tersenghi) STOC'06, pp. 130-139. 2005 The Two Possible Values of the Chromatic Number of a Random Graph (with A. Naor) Annals of Mathematics, 162 (3), (2005), 1333-1349. Rigorous Location of Phase Transitions in Hard Optimization Problems (with A. Naor, Y. Peres) Nature, 435 (2005), 759-764. Hiding Truth Assignments: Two are Better Than One (with H. Jia, C. Moore) Journal of Artifical Intelligence Research, 24, (2005), 623-639. Rapid Mixing for Lattice Colourings with Fewer Colours (with M. Molloy, C. Moore, F. van Bussell) Journal of Statistical Mechanics: Theory and Experiment, 2005, P10012. 2004 The Threshold for Random k-SAT is 2 k log2 - O(k) (with Y. Peres) J.AMS, 17, (2004), 947-973. A Sharp Threshold in Proof Complexity Yields a Lower Bound for Satisfiability Search (with P. Beame, M. Molloy) Journal of Comp. & Sys. Sci., 68 (2), (2004), 238-268. Random Matrices in Data Analysis ECML'04, pp. 1-8. The Chromatic Number of Random Regular Graphs (with C. Moore) RANDOM'04, pp.219-228. Exponential Bounds for DPLL Below the Satisfiability Threshold (with P. Beame, M. Molloy) SODA'04, pp. 132-133. 2003 Almost all Graphs with Average Degree 4 are 3-colorable (with C. Moore) Journal of Comp. & Sys. Sci., 67 (2), (2003), p.441-471, special issue of invited papers from STOC'02. Database-friendly Random Projections: Johnson-Lindenstrauss with Binary Coins Journal of Comp. & Sys. Sci.,, 66 (4), (2003), p.671-687, special issue of invited papers from PODS'01. The Fraction of Satisfiable Clauses in a Typical Formula (with A. Naor, Y.Peres) FOCS'03, pp. 362-370. 2002 On the 2-colorability of Random Hypergraphs (with C. Moore) RANDOM'02. Sampling Techniques for Kernel Methods (with F. McSherry, B. Schlkopf) NIPS'02. Two-Coloring Random Hypergraphs (with J.H. Kim, M. Krivelevich, P.Tetali) Random Structures & Algorithms, 20 (2), (2002), p.249-259. 2001 Web Search via Hub Synthesis (with A. Fiat, A. Karlin, F. McSherry) FOCS'01, pp.611-618. Balance and Filtering in Structured Satisfiable Problems IJCAI'01, p.351-358. (with H. Kautz, Y. Ruan, C. Gomes, B. Selman, M. Stickel) The Phase Transition in NAESAT and 1-in-k SAT (with A. Chtcherba, G. Istrate, C. Moore) SODA'01, pp.721-722. Lower Bounds for Random 3-SAT via Differential Equations Theoretical Computer Science, 265 (1-2), (2001), pp.159-185. Random Constraint Satisfaction: A More Accurate Picture Constraints, 6 (4), (2001), p. 329-344. (with L.M. Kirousis, E. Kranakis, D. Krizanc, M.Molloy, Y. Stamatiou) Rigorous Results for (2+p)-SAT (with L.M. Kirousis, E. Kranakis, D. Krizanc) Theoretical Computer Science, 265 (1-2), (2001), p.109-129. 2000 Optimal Myopic Algorithms for Random 3-SAT (with G.B. Sorkin) FOCS'00, pp.590-600. Generating Satisfiable Problem Instances (with C. Gomes, H. Kautz, B. Selman) AAAI'00. Setting Two Variables at a Time Yields a New Lower Bound for Random 3-SAT STOC'00, pp.28-37. Competitive Analysis of Randomized Paging Algorithms (with M. Chrobak, J. Noga) Theoretical Computer Science, 234, (2000), p.203-218. 1999 A Sharp Threshold for k-Colorability (with E. Friedgut) Random Structures & Algorithms, 14 (1), (1999), p.63-70. Almost All Graphs with 2.522n Edges are not 3-Colorable (with M. Molloy) Electronic Journal of Combinatorics, 6 (1), (1999), R29 Tight Lower Bounds on st-Connectivity on the NNJAG model (with J. Edmonds, C.K. Poon) SIAM Journal on Computing, 28 (6), (1999), p.2257-2284. 1997-98 The Existence of Uniquely G-free Colourable Graphs (with J.I. Brown, D. Corneil, M. Molloy) Discrete Mathematics, 179, (1998), p.1-11. Analysis of a List-Coloring Algorithm on a Random Graph (with M. Molloy) FOCS'97, p.204-212. The Complexity of G-free Colorability Discrete Mathematics, 165/166, (1997), p.21-30. diff --git a/src/data/compiled_bios/1213.txt b/src/data/compiled_bios/1213.txt new file mode 100644 index 0000000000..b1b23da64f --- /dev/null +++ b/src/data/compiled_bios/1213.txt @@ -0,0 +1 @@ + Peter Alvaro E-Mail Address Please Enable JavaScript palvaro@ucsc.edu Title Assistant Professor, Computer Science and Engineering Department Computer Science and Engineering Telephone Number 831-459-1304 Office Location Engineering 2, Room 353 Mail Stop SOE3 Research Areas Data management systems, distributed systems, logic programming Web Page Peter Alvaro's Homepage Disorderly Labs Projects Lineage-driven Fault Injection Bloom Programmable Storage Selected Publications Automating Failure Testing at Internet Scale Lineage-driven Fault Injection Blazes: Coordination Analysis for Distributed Programs Consistency Analysis in Bloom: a CALM and Collected Approach Dedalus: Datalog in Time and Space Degree Ph.D. in Computer Science, 2015, UC Berkeley Master of Science, Computer Science, 2010, UC Berkeley Bachelor of Arts, English Literature, 1997, Middlebury College Students Aldrin Montana (Graduate) Alumni Ashutosh Raina (Alumni) Are you Peter Alvaro? If so, you can update your directory information . diff --git a/src/data/compiled_bios/1214.txt b/src/data/compiled_bios/1214.txt new file mode 100644 index 0000000000..8026e3b2e0 --- /dev/null +++ b/src/data/compiled_bios/1214.txt @@ -0,0 +1 @@ + Owen Arden Assistant Professor Computer Science Department Jack Baskin School of Engineering UC Santa Cruz Email: owen@soe.ucsc.edu Office: E2-349A Engineering 2 Building Office hours: by appointment Research Interests Developing secure applications is unreasonably hard. Real-world security breaches rarely result from direct attacks on security mechanisms. Instead, attackers take advantage of applications that use these mechanisms incorrectly or violate their assumptions. Application developers should be domain experts, not security experts. I study language-based approaches to building decentralized and distributed applications that are secure by construction. Using high-level abstractions to synthesize low-level security protocols, programmers can build secure applications without being security experts. Building safe computers is hard. Real-world problems don't come from focused attacks on computer guards. Instead, attacks focus on computers that use guards wrong or break their guesses about the world. People that build computers should only have to be brains in their area, not safe computer brains. I study ways to tell computers what to do that are safe from the start. Using clear and simple ideas that tell computers how to make perfect guard controls, people can build safe computers without being safe computer brains. (Created with the Up-Goer Five Text Editor ) simplify Selected Publications Nonmalleable Information Flow Control (CCS - October 2017) Ethan Cecchetti, Andrew C. Myers, Owen Arden A new 4-safety hyperproperty for secure declassification and endorsement and a type system for enforcing it. (pdf) (tech report) Cryptographically Secure Information Flow Control on Key-Value Stores (CCS - October 2017) Lucas Waye, Pablo Buiras, Owen Arden, Alejandro Russo, Stephen Chong An information flow control system that transparently incorporates cryptography to enforce confidentiality and integrity policies on untrusted storage. (pdf) (tech report) Fabric: Building open distributed systems securely by construction (JCS - July 2017) Jed Liu, Owen Arden, Michael D. George, Andrew C. Myers A secure decentralized distributed programming language and system (pdf) (website) A Calculus for Flow-Limited Authorization (CSF - June 2016) Owen Arden, Andrew C. Myers A core programming model that uses flow-limited authorization to provide end-to-end information security to dynamic authorization mechanisms and programs that use them. (pdf) Flow-Limited Authorization (CSF - July 2015) Owen Arden, Jed Liu, Andrew C. Myers A new model that unifies authorization and information flow to enforce dynamic policies robustly and without side-channels. (pdf) (tech report) Complete list of publications . Projects Flame A library and compiler plugin for GHC enforcing information security in Haskell using flow-limited authorization. Teaching Winter 2019 CMPS 122: Computer Security Winter 2019 CMPS 280: Applied PL Seminar Fall 2018 CMPS 223: Advanced Computer Security Spring 2018 CMPS 280L: Seminar on Logic in Computer Science (with Phokion Kolaitis) Fall 2017 CMPS 223: Advanced Computer Security PhD Students Haofan Zheng Priyanka Mondal Ana McTaggart Professional Activities (PC Member) Conference on Computer and Communications Security (CCS), 2019 (PC Member) Conference on Principles of Security and Trust (POST), 2019 (PC Member) Workshop on Foundations of Computer Security (FCS), 2019 (PC Member) Workshop on Programming Languages and Security (PLAS), 2018 (PC Member) Computer Security Foundations Symposium (CSF), 2018 (PC Member) Workshop on Foundations of Computer Security (FCS), 2018 (PC Member) Workshop on Foundations of Computer Security (FCS), 2017 (External Review Committee) Programming Language Design and Implementation (PLDI), 2016 Former Affiliations The Initiative for CryptoCurrencies and Contracts (IC3) Institute for Defense Analysis Center for Computing Sciences (IDA/CCS) Independent Security Evaluators (ISE) National Security Agency (NSA) diff --git a/src/data/compiled_bios/1215.txt b/src/data/compiled_bios/1215.txt new file mode 100644 index 0000000000..ad0c8138c2 --- /dev/null +++ b/src/data/compiled_bios/1215.txt @@ -0,0 +1 @@ + Delbert Bailey E-Mail Address Please Enable JavaScript dbailey@soe.ucsc.edu Department Computer Science and Engineering Office Location Engineering 2, Room 249A (F16) Mail Stop SOE3 Research Areas Artificial intelligence, pattern recognition, computational complexity, analysis of algorithms Are you Delbert Bailey? If so, you can update your directory information . diff --git a/src/data/compiled_bios/1216.txt b/src/data/compiled_bios/1216.txt new file mode 100644 index 0000000000..8552e99919 --- /dev/null +++ b/src/data/compiled_bios/1216.txt @@ -0,0 +1 @@ + Scott Beamer Assistant Professor Computer Science and Engineering University of California, Santa Cruz sbeamer@ucsc.edu Office: Engineering 2 Room 229 I design architectures for data-intensive applications, with a focus on improving communication efficiency. I am interested in: computer architecture, data movement optimization, memory interconnects, open-source hardware design, and graph algorithms. I completed my PhD in Computer Science at UC Berkeley while working on the GAP Project . Previously, I was a postdoctoral fellow at Lawrence Berkeley National Lab in the Computer Architecture Group . Want to learn to leverage domain insights to create blazing fast software and efficient architectures? I am currently seeking motivated and curious graduate students. If interested, please contact me and apply to UC Santa Cruz! Teaching Winter 2019 - CMPE293: Programmable Hardware Accelerators Spring 2019 - CMPE202: Computer Architecture Research My research focuses on improving communication efficiency, since for many data-intensive workloads, accessing the necessary data (communication) is often a bigger challenge than the computation itself. For these communication-bound workloads, optimizing communication can bring many benefits, whether it be improved performance, decreased energy consumption, or reduced manufacturing cost. Much of my work focusses on graph processing, as its data-intensive nature exposes many communication challenges. Going forward, I'm excited to bring my approach to other computational patterns and application domains. To improve communication efficiency, one can either reduce the amount of communication (move less data) or accelerate the rate of communication (increase utilized bandwidth). My research utilizes both approaches, and I apply them by optimizing software or designing new hardware. To guide these optimization efforts, I analyze the workload to identify bottlenecks. To more aggressively improve hardware communication efficiency, I also investigate the best ways to leverage new technologies such as monolithically integrated silicon photonics. Publications Reducing Pagerank Communication via Propagation Blocking Scott Beamer, Krste Asanovi, and David Patterson International Parallel & Distributed Processing Symposium ( IPDPS ), Orlando, May 2017 Best Paper Award PDF IEEE Understanding and Improving Graph Algorithm Performance Scott Beamer Ph.D. Thesis, University of California Berkeley, September 2016 SPEC Kaivalya Dixit Distinguished Dissertation Award TR PDF The Rocket Chip Generator Krste Asanovi, Rimas Aviienis, Jonathan Bachrach, Scott Beamer, David Biancolin, Christopher Celio, Henry Cook, Palmer Dabbelt, John Hauser, Adam Izraelevitz, Sagar Karandikar, Benjamin Keller, Donggyu Kim, John Koenig, Yunsup Lee, Eric Love, Martin Maas, Albert Magyar, Howard Mao, Miquel Moreto, Albert Ou, David Patterson, Brian Richards, Colin Schmidt, Stephen Twigg, Huy Vo, and Andrew Waterman Technical Report UCB/EECS-2016-17, EECS Department, University of California, Berkeley, April 2016 TR repo Distributed-Memory Breadth-First Search on Massive Graphs Aydn Bulu, Scott Beamer, Kamesh Madduri, Krste Asanovi, and David Patterson In D. Bader, editor, Parallel Graph Algorithms , CRC Press, Taylor-Francis, 2018 (in press) PDF site GAIL: The Graph Algorithm Iron Law Scott Beamer, Krste Asanovi, and David Patterson Workshop on Irregular Applications: Architectures and Algorithms ( IA^3 ), at the International Conference for High Performance Computing, Networking, Storage and Analysis (SC), Austin, November 2015 PDF ACM site Locality Exists in Graph Processing: Workload Characterization on an Ivy Bridge Server Scott Beamer, Krste Asanovi, and David Patterson International Symposium on Workload Characterization ( IISWC ), Atlanta, October 2015 Best Paper Award PDF IEEE site The GAP Benchmark Suite Scott Beamer, Krste Asanovi, and David Patterson arXiv:1508.03619 [cs.DC], 2015 arXiv site Distributed Memory Breadth-First Search Revisited: Enabling Bottom-Up Search Scott Beamer, Aydn Bulu, Krste Asanovi, and David Patterson Workshop on Multithreaded Architectures and Applications ( MTAAP ), at the International Parallel & Distributed Processing Symposium (IPDPS), Boston, May 2013 IEEE Direction-Optimizing Breadth-First Search Scott Beamer, Krste Asanovi, and David Patterson International Conference on High Performance Computing, Networking, Storage and Analysis ( SC ), Salt Lake City, Utah, November 2012 Best Student Paper Finalist ACM errata corrected site Journal of Scientific Programming ( JSP ), 21(3-4), October 2013 IOS Portable Parallel Performance from Sequential, Productive, Embedded Domain-Specific Languages Shoaib Kamil, Derrick Coetzee, Scott Beamer, Henry Cook, Ekaterina Gonina, Jonathan Harper, Jeffrey Morlan, and Armando Fox Symposium on Principles and Practice of Parallel Programming ( PPoPP ), New Orleans, Louisiana, February 2012 ACM Searching for a Parent Instead of Fighting Over Children: A Fast Breadth-First Search Implementation for Graph500 Scott Beamer, Krste Asanovi, and David Patterson Technical Report UCB/EECS-2011-117, EECS Department, University of California, Berkeley, November 2011 TR Re-Architecting DRAM Memory Systems with Monolithically Integrated Silicon Photonics Scott Beamer, Chen Sun, Yong-jin Kwon, Ajay Joshi, Christopher Batten, Vladimir Stojanovi, Krste Asanovi International Symposium on Computer Architecture ( ISCA ), Saint-Malo, France, June 2010 ACM A Design-Space Exploration for CMOS Photonic Processor Networks Vladimir Stojanovi, Ajay Joshi, Christopher Batten, Yong-Jin Kwon, Scott Beamer, Chen Sun, Krste Asanovi Optical Fiber Communication Conference and Exposition and The National Fiber Optic Engineers Conference ( OFC/NFOEC ), (invited paper), San Diego, CA, March 2010 OFC Limits and Opportunities for Designing Manycore Processor-to-Memory Networks using Monolithic Silicon Photonics Ajay Joshi, Christopher Batten, Yong-Jin Kwon, Scott Beamer, Imran Shamim, Krste Asanovi, and Vladimir Stojanovi Workshop on Photonic Interconnects & Computer Architecture ( PICA ), at the International Symposium on Microarchitecture (MICRO), New York, NY, December 2009 PICA Designing Multisocket Systems with Silicon Photonics Scott Beamer M.S. Thesis, University of California Berkeley, December 2009 TR Designing Multi-socket Systems Using Silicon Photonics Scott Beamer, Krste Asanovi, Christopher Batten, Ajay Joshi, and Vladimir Stojanovi International Conference on Supercomputing ( ICS ), Yorktown Heights, NY, June 2009 ACM Silicon-Photonic Clos Networks for Global On-Chip Communication Ajay Joshi, Christopher Batten, Yong-Jin Kwon, Scott Beamer, Imran Shamim, Krste Asanovi, and Vladimir Stojanovi International Symposium on Networks-on-Chip ( NoCS ), San Diego, CA, May 2009 Best Paper Finalist ACM Professional Service Conference PC Member: SC '17/'18, IPDPS '18, IISWC '18, DAC '19 External Conference PC Member: ISCA '17, HPCA '19 Workshop PC Member: IA3 '15/'16/'17/'18, HPGDMP '16, AGP '17 External Reviewer: ISCA, EuroPar, SPAA Journal Reviewer: CAL, Computer, Design & Test, IPL, JEA, JPDC, TKDE, TPDS Member: ACM-SIGARCH, IEEE-TCCA, SIAM-SC diff --git a/src/data/compiled_bios/1217.txt b/src/data/compiled_bios/1217.txt new file mode 100644 index 0000000000..6b6ca50010 --- /dev/null +++ b/src/data/compiled_bios/1217.txt @@ -0,0 +1 @@ + Nina T. Bhatti E-Mail Address Please Enable JavaScript ntbhatti@ucsc.edu Department Computer Science and Engineering Office Location E2-247B Mail Stop SOE3 Are you Nina T. Bhatti? If so, you can update your directory information . diff --git a/src/data/compiled_bios/1218.txt b/src/data/compiled_bios/1218.txt new file mode 100644 index 0000000000..d7e111184f --- /dev/null +++ b/src/data/compiled_bios/1218.txt @@ -0,0 +1 @@ + Scott Brandt E-Mail Address Please Enable JavaScript sbrandt@soe.ucsc.edu Title Vice Chancellor for Research Professor, Computer Science and Engineering Department Computer Science and Engineering Telephone Number 831-459-5170 Office Location Engineering 2, Room 347B Mail Stop SOE3 Biography Scott Brandt is Professor of Computer Science, the UCSC Director of the ISSDM and Director of the UCSC Systems Research Laboratory. He is also co- founder of the UCSC Storage Systems Research Center. Scott's research is in the area of Computer Systems. He specializes in both storage systems and real-time systems. His current storage system research focuses on high-performance peta-scale distributed object-based storage, while his real-time research focuses on integrating real-time and non-real-time processing into a uniform processing environment. His most recent research intregrates the two, researching novel solutions for robust guaranteeable management of varied system resources, including CPU, disk, memory, and network. Research Areas Operating systems, storage systems, real-time systems Are you Scott Brandt? If so, you can update your directory information . diff --git a/src/data/compiled_bios/1219.txt b/src/data/compiled_bios/1219.txt new file mode 100644 index 0000000000..24333940b8 --- /dev/null +++ b/src/data/compiled_bios/1219.txt @@ -0,0 +1 @@ + Alexandre Brandwajn Professor Computer Engineering Research areas Performance modeling, queuing network models of computer systems and networks, computer architecture and operating systems Current research interests Efficient solution of systems with large state space Application of conditional probability in the solution of performance models Stable recurrent solutions Models of virtualized systems I/O subsystem models, optical channels Multimedia/networking problems, e.g. optical networks Efficient solutions of priority system Credentials B.A. (University of Paris IV Sorbonne), Docteur-Ingnieur, Docteur d'Etat (University of Paris VI -UPMC) Ingnieur Civil des Tlcommunications (ENST, Paris) Biography I started my research by designing and implementing a load simulator for the ESOPE Operating System within the operating system research group at I(n)RIA, the French national research center. Next, I worked on modeling the performance of virtual memory systems, and, in particular, on the determination of the optimal multiprogramming degree. During this work I started to build a general framework for the equivalence and decomposition method which relies on the use of marginal and conditional state probabilities. This method allows to obtain (in general, approximate) solutions of complex systems through structured decomposition. During my tenure at the Computer Science department at the ENST in Paris, I formed a research team in adaptive system architectures. Among the goals of the project was the dynamic adaptation of the architecture to changes in load and to component failures. The resulting dynamic reconfiguration was to allow the addition or removal of system components and devices without the need to stop and reboot the system, well before "plug and play" systems became a commercial reality. Later, I joined a large computer manufacturer in the Silicon Valley (Amdahl Corporation) where I worked on the performance modeling of transaction processing systems, large enterprise systems, storage subsystems, as well as on modeling network performance. The latter resulted in my work (with L. Jow) on tandem queueing networks with blocking. My work in industry was instrumental in allowing me to develop an appreciation forthe "real world", problems in model calibration, and, in general, the size of realistic problems. As a professor of Computer Engineering at the University of California Santa Cruz, my research topics have included solution method for large systems, multi-server priority queues, multicast systems with periodic synchronization and the modeling of optical networks (during my sabbatical at Telecom Sud Paris). Additionally, I have continued my work on model calibration. Some of the ideas of that researchled to the PhD work of Thomas Begin at the University of Paris (UPMC), which incorporated the idea of automated model calibration and selection. At the same time, I have continued my work on the use of conditional probabilities in the solution of queueing models. This idea resulted inthe development of numerically stable efficient recurrent solution of M/Ph/1 -like queues, and more recently, to the development of an efficient iterative solution for the Ph/Ph/c queue. I continue to be interested inapproaches that allow circumventing the combinatorial explosion of the size of the state space, in particular, in the context of virtualized systems and "cloud computing". PUBLICATIONS Journal Papers Begin, T., Brandwajn, A., Baynat, B., Wolfinger, B., S. Fdida,. 2010 " High-level Approach to Modeling of Observed System Behavior ", Performance Evaluation, vol. 67, pp. 386-405. Brandwajn, A. and T. Begin. 2009 " Higher-order distributional properties in closed queueing networks ", Performance Evaluation, vol. 66, pp. 660-659. Begin, T., Baynat, B., Sourd, F. and A. Brandwajn. 2009 " A DFO technique to calibrate queueing models ", Computers & Operations Research, May 2009. Brandwajn, A., Nguyen, V.H. and T. Atmaca. 2009 " A Conditional Probability Approach to Performance Analysis of Optical Unslotted Bus-Based Networks ", in Current Research Progress of Optical Networks, Springer Verlag, edited by Maode. Benbadis, F., Obraczka, K., Corts, J. and A. Brandwajn. 2008 "Exploring landmark placement strategies for topology-based localization in wireless sensor networks", EURASIP Journal on Advances in Signal Processing 2008, Article ID 275658. Brandwajn, A. and H. Wang. 2008 " A Conditional Probability Approach to M/G/1-like Queues ", Performance Evaluation, vol. 65, pp. 366-381. Brandwajn, A. 2003. " A model of periodic acknowledgment ", Performance Evaluation, Vol. 52, pp. 221-235. Brandwajn, A. and A. Sahai. 1993. " Aspects of the Solution of Some Multiclass Loss Systems ", Performance Evaluation, Vol. 17, pp. 141-159. Brandwajn, A. and A. Sahai. 1989. " A Note on Approximate Iterative Solution of Open Tandem Networks with Blocking ", Performance Evaluation, vol. 10, pp. 211-218. Brandwajn, A. 1988. "Load Imbalance in DASD Dynamic Reconnection", Information Processing Letters, vol. 28, pp. 111-119. Brandwajn, A. and L. Jow. 1988. " An Approximation Method for Tandem Queues with Blocking ", Operations Research 36, pp. 73-83. Brandwajn, A. 1985. " Equivalence and Decomposition in Queueing Systems - A Unified Approach ", Performance Evaluation, vol. 5, pp. 175-186. Brandwajn, A. 1983. " Models of DASD Subsystems with Multiple Access Paths: A Throughput-Driven Approach ", IEEE Transactions on Computers, vol. C-32, pp. 451-463. Brandwajn, A. 1982. "DASD Subsystem Modeling", Computer Performance, vol. 3, pp. 40-44. Brandwajn, A. 1982. " A Finite Difference Equations Approach to a Priority Queue ", Operations Research, vol. 30, pp. 74-81. Brandwajn, A. 1981. "Models of DASD Subsystems: Basic Model of Reconnection", Performance Evaluation, vol. 1, pp. 263-281. Brandwajn, A. and J.A. Hernandez. 1981. " A Study of a Mechanism for Controlling Multiprogrammed Memory in an Interactive System ", IEEE Transactions on Software Engineering SE-7, pp. 321-331. Brandwajn, A. and R. Joly. 1980. "A Scheme for Fault-Tolerant Virtual Memory", Information Processing Letters, vol. 10, pp. 99-103. Brandwajn, A. 1979. " An Iterative Solution of Two-Dimensional Birth and Death Processes ", Operations Research, vol. 27, pp. 595-605. Brandwajn, A., P. Kruchten, and J.A. Hernandez. 1978. "ARCADE - A System for Research and Education in Computer Architecture", Information Processing Letters, vol. 7, pp. 78-85. Brandwajn A. and B. Mouneix. 1977. "A Study of a Page-on-Demand System", Information Processing Letters, vol. 6, pp. 125-132. Brandwajn, A. 1977. " A Queueing Model of Multiprogrammed Computer Systems under Full-Load Conditions ", Journal of the ACM 24, pp. 222-240. Brandwajn, A. 1976. "A Model of a Virtual Memory System", Acta Informatica 6, pp. 365-386. Brandwajn, A. 1976. "Simulation de la charge d'un systme conversationnel", R.A.I.R.O. Informatique 10, pp. 25-44. Brandwajn, A. 1976. "Control Schemes in Queueing Networks", Management Science 22, pp. 810-822. Brandwajn, A. 1974. "A Model of a Time-Sharing Virtual Memory System Solved Using Equivalence and Decomposition Methods", Acta Informatica 4, pp. 11-47. Conference Papers (with T. Begin) " Performance Evaluation of a Single Node with General Arrivals and Service " , ASMTA 2011, Venice, Italy. (with T. Begin) " Une solution approche pour les files Ph/Ph/1 et Ph/Ph/1/N ", Algotel 2011, Cap Estrel (France). (with T. Begin) " Note sur la simulation d'une file M/G/1 selon la distribution du temps de service ", Algotel 2010, Belle Dune (France). (with T. Begin) "Considerations in Workload Characterization for PAVs", CMG 09, Dec. 6-11, 2009, Dallas, TX. (with T. Begin) " Preliminary Results on a Simple Approach to G/G/c-Like Queues ", ASMTA 2009, Madrid Spain, pp. 159-173. (with T. Begin) " A Note on the Effects of Service Time Distribution in the M/G/1 Queue ", SPEC Benchmark Workshop 2009, Austin, TX, pp. 138-144. (with T. Begin) " Note sur les temps rsiduels dans les systmes type M/G/c ", CFIP 2008, Les Arcs (France). (with T. Begin, B. Baynat, B. Wolfinger, and S. Fdida) " High-level Approach to Modeling Observed System Behavior ", poster session in Performance 2007, The 26th International Symposium on Computer Performance. Modeling, Measurement, and Evaluation, Cologne, Germany, October 2007. (with T. Begin, B. Baynat, B. Wolfinger, and S. Fdida) " Towards an Automatic Modeling Tool for Observed System Behavior ", EPEW '07, Lecture Notes in Computer Science, Springer Verlag,, Berlin, Germany, pp. 200-212, September 2007. with F. Benbadis, K. Obraczka, and J. Cortes) "Exploring Landmark Placement Strategies for Self-Localization in Wireless Sensor Networks", 18th Annual International Symposium on Personal, Indoor and Mobile Radio Communications, Athens, Greece, 2007, electronic proceedings. (with T. Begin, B. Baynat, S. Fdida, S. Kedad, and F. Sourd) " Gnration automatique de modles calibrs ", CFIP 2006, Tozeur, Tunisia, October 30-November 3, 2006. " A Simple Approach to FICON Channel Performance", Int. CMG Conference, Dallas, TX, December 2003. " Modeling FICON channels", First International Working Conference on Performance Modeling and Evaluation of Heterogeneous Networks, Ilkley, UK, July 2003. " Insight through simplicity", Int. CMG Conference 2002 : 379-386, December 2002. " A Note on SCSI Bus Waits ", Practical Aspects of Performance Analysis, SIGMETRICS 2002, Marina Del Rey, June 2002. " A Finite-Source Multiserver Queue With Preemptive Priorities", 4th International Workshop on Queueing Networks with Finite Capacity, Ilkley, UK, July 2000. " Fast Decomposition in Large Stochastic Models ", IEEE International Conference on Systems, Man and Cybernetics, San Diego, October 1998. (with David Levy) "A Study of Cached RAID-5 I/O", Computer Measurement Group Conference, December 1994,. " Rflexions sur l'tat de l'art", Proceedings of the CMGF '91 Conference, Paris, pp. 136--146, November 1991. " Sur Certains Aspects de la modlisation des E/S", Proceedings of the CMGF '90 Conference, Paris, pp. 57--70, November 1990. " Performance Benefits of Parallelism in Cached DASD Controllers", CMG'89 International Conference on Management and Performance Evaluation of Computer Systems, Dec. 11-15, 1989, Reno, NV, pp. 123-140. " Modeling DASD and Disk Caches", CMG '86 International Conference on Management and Performance Evaluation of Computer Systems, Dec. 9-12, 1986, Las Vegas, NV, pp. 206--216. " Modeling DASD with Load Imbalance", European Computer Measurement Association, ECOMA-14 Conference, Oct. 7-10, 1986, Brussels, pp. 396--408. " Tandem Exponential Queues with Finite Buffers", International Seminar on Computer Networking and Performance Evaluation, Sept. 18-20, 1985, Tokyo, pp. 6.2.1--6.2.13. (with W.M. McCormack) " Efficient Approximation for Models of Multiprogramming with Shared Domains ", 1984 SIGMETRICS Conference, August 21-24, Cambridge, MA, Performance Evaluation Review 12, No. 3, pp. 186--194. " A Study of Dynamic Reconnection ", 1983 SIGMETRICS Conference, August 29-31, Minneapolis, MN, Performance Evaluation Review Special Issue, pp. 1--11. " Fast Approximate Solution of Multiprogramming Models ", 1982 SIGMETRICS Conference, August 30 - September 1, 1982, Seattle, WA, Performance Evaluation Review 11, No. 4, pp. 141--149. " A Capacity Planning Model of A DASD Subsystem", 8th International Symposium on Computer Performance Modelling, Measurement and Evaluation, Nov. 4-6, 1981, Amsterdam, North-Holland Publ. Co., pp. 401--414. " Multiple Paths Versus Memory for Improving DASD Subsystem Performance", 8th International Symposium on Computer Performance Modelling, Measurement and Evaluation, Nov. 4-6, 1981, Amsterdam, North-Holland Publ. Co., pp. 415--434. " Further Results on Equivalence and Decomposition in Queueing Network Models", 7th International Symposium on Computer Performance Modelling, Measurement and Evaluation, May 28-30, 1980, Toronto, Canada, Performance Evaluation Review 9, No. 2, pp. 93--104. (with J.A. Hernandez, R. Joly and P. Kruchten) "Overview of the ARCADE System", 6th Annual Symposium on Computer Architecture, Philadelphia, April 1979, pp. 42--49. (with J.A. Hernandez) "A Study of a Mechanism for Controlling Multiprogrammed Memory in an Interactive System", 4th International Symposium on Modelling and Performance Evaluation of Computer Systems, Feb. 6-8, 1979, Vienna, North-Holland Publ. Co., pp. 487--500. (with J.A. Hernandez, R. Joly and P. Kruchten) "Communication in the Fast Universe of ARCADE - A Loosely-Coupled Adaptive Multiprocessor System," Fourth EURMICRO Symposium on Microprocessing and Microprogramming, Oct. 17-19, 1978, Munich, North-Holland Publ. Co., pp. 281--290. "An Approach to the Numerical Solution of Some Queueing Problems", International Symposium on Computer Performance Modeling, Measurement, and Evaluation, IBM T. J. Watson Research Center, Yorktown Heights, New York, Aug. 16-28, 1977, K.M. Chandy and M. Reiser (eds.), North-Holland Publ. Co., pp. 83-112. "A Study of a Page-on-Demand System", International Workshop on Models of Computer Systems, Bonn, March 31-April 1, 1977, Informatik - Fachberichte, vol. 9, Springer Verlag, pp. 163--173. "A Study of an Interactive System", ACM Computer Science Conference, Anaheim, CA, Feb. 10-12, 1976. "A Model of a Time-Sharing System with Two Classes of Processes", Gesellschaft fuer Informatik, 5 Jahrestagung, Dortmund, 8-10 October, 1975, Lecture Notes in Computer Science, vol. 34, Springer Verlag, pp. 547--566. "Experiments with a Simple Adaptive Control of the Multiprogramming Degree Based on a System Model", International Seminar on Models and Measures for Computer Science, Bologna, Italy, February 1975. (with J. Buzen, E. Gelenbe and D. Potier) "A Model of Performance for Virtual Memory Systems", 2nd Annual SIGMETRICS Symposium on Measurement and Evaluation, Montreal, 1974. "Equivalence and Decomposition Methods with Application to a Model of A Time-Sharing Virtual Memory System", Colloque sur les aspects thoriques et pratiques des systmes d'exploitation, IRIA, Rocquencourt, France, April 1974. (with E. Gelenbe, D. Potier and J. Lenfant) "Gestion Optimale d'un Systme d'Ordinateur Multiprogramm Mmoire Virtuelle", 5th IFIP Conference on Optimization Techniques, Rome, Lecture Notes in Computer Science, Vol. 4, Springer Verlag, pp. 132--143 (1973). (with E. Gelenbe, D. Potier and J. Lenfant) "Modle de Systme Multiprogramm Mmoire Virtuelle Pagine", Compte rendu des Journees d'Etudes sur les Recherches en Mesure, Simulation, Modlisation des Systmes Informatiques, IRIA, Toulouse, France, June 1973. Technical reports 1. Brandwajn, A. and T. Begin, 2010. " A Recurrent Solution of Ph/M/c/N-like and Ph/M/c-like Queues ", INRIA research report 7321, June 2010, Lyon, France. 2. Brandwajn, A. and S. Fdida. 1996. "Modeling and Analysis of a Transport Multicast Protocol", UCSC-CRL-96-20, University of California, Computer Research Laboratory, Santa Cruz, CA. 3. Brandwajn, A. 1993. "An Approach to the Decomposition of Large Stochastic Models", UCSC-CRL-93-42, University of California, Computer Research Laboratory, Santa Cruz, CA. 4. Brandwajn, A. 1987. "Aspects of Path Sharing in I/O", Technical Report, UCSC-CRL-87-16, University of California, Computer Research Laboratory, Santa Cruz, CA. 5. Brandwajn, A. 1987. "A Simple Model of an Automated Library System", Technical Report, UCSC-CRL-87-14, University of California, Computer Research Laboratory, Santa Cruz, CA. 6. Brandwajn, A. 1986. "A Model of Cached I/O", Technical Report, UCSC-CRL-86-26, University of California, Computer Research Laboratory, Santa Cruz, CA. 7. Brandwajn, A. and Y.L. Jow. 1986. "An Approximation Method for Tandem Queues with Blocking", Technical Report, UCSC-CRL-86-19, University of California, Computer Research Laboratory, Santa Cruz, CA. 8. Brandwajn, A. 1979. "Equivalence and Decomposition in Queuing Network Models - A Point of View", Technical Report, CS-1979-6, Duke University, Durham, NC, May 1979. 9. Brandwajn, A. 1979. "A Method for Finding the Roots of Polynomials With Only Real Zeros", Technical Report, CS-1979-2, Duke University, Durham, NC, February, 1979. 10. Brandwajn, A. 1976. "A Finite-Source Queueing Model with Blocking", Technical Report ENST-D-76008, Paris, France, June 1976. 11. Brandwajn, A. 1976. "A Note on the Accuracy of the Equivalence and Decomposition Approach", Technical Report ENST-D-76007, Paris, France, May 1976. 12. Brandwajn, A. 1975. "Equivalence et Decompostion dans les Modles Files d'Attente et leur Application l'Evaluation des Performances de Systmes d'Exploitation", Docteur d'Etat Thesis, Paris, France, January 1975. 13. Brandwajn, A. 1972. "Procdure d'Exploitation pour une Liaison UC-UC", Docteur-Ingnieur Thesis, Paris, France. Invited talks "Seeking simplicity in complex systems", LINCS Seminar, February 2011, Paris. (with M. Boksenbaum (HDS), B. McNutt (IBM), G. Schultz (StorageIO Group), B. Zahavi (EMC)) "Storage Performance Measurement'', CMG 2006 International Conference., Panel discussion. "Fast Decomposition in Large Stochastic Models", Institut National des Tlcommunications, 2005, Evry. (with B. McNutt, B. Smith, W. Baker, J. Buzen and M. Friedman) "Central-Server Design for Storage Benchmarks'', CMG 2002 International Conference, Panel discussion. "A Model of Periodic Acknowledgment'', PERNET Colloquia, SFSU, 2002, San Francisco, CA, USA. "Overview of the State of the Art in Performance Modeling'', Graduate School of Computer Engineering, CEA, Saclay, 1993. "Aspects of I/O Performance Modelling", CMG Benelux, February 1990, Antwerp, Belgium. "State of the Art in I/O Subsystem Modelling", CMGF 1989, Nice. "Performance Benefits of Overlap in Modern Cache Controllers", UK CMG Modelling Group Meeting, 1989, London, UK. "Aspects of Path Sharing in I/O", IBM Palo Alto Scientific Center, Palo Alto, CA, USA, 1987. "An Approximation Method for Tandem Queues with Blocking", ORSA/TIMS Joint National Meeting, November 1985, Atlanta, GA, USA. "Issues in Mainframe System Modelling - Lessons from Model Development at Amdahl" International Conference on Modelling Techniques and Tools for Performance Analysis, Paris, 1984. "Aspects of DASD Performance", advanced tutorial, Computer Measurement Group CMG XIV International Conference, 1983, Washington, D.C., USA. "Factors in DASD Performance", European Computer Measurement Association, ECOMA-11 Conference, 1983, Copenhagen, Denmark. "On Decomposition in Operational Analysis", IMACS World Congress on System Simulation and Modeling, Session on Operational Analysis, August 8-13, 1982, Montreal, Canada. "On Decomposition Approaches to Queueing Problems", TIMS Meeting, Session on Computational Probability, Hawaii, USA, 1979. "An Approach to the Solution of Some Queueing Systems", 7th Conference on Stochastic Processes and Their Applications, 1977, Twente University of Technology, the Netherlands. Recent Sabbatical Leaves April June 2010 I spent my Spring 2010 sabbatical at the LIP Laboratory of the Ecole Normale Suprieure de Lyon continuing my joint work with Dr. Thomas Begin on efficient solutions of general queues, as well as collaborating with colleagues (Professors Paolo Gonalves and Isabelle Gurin Lassous) and graduate students on topics related to modeling TCP performance and on static versus dynamic network routing protocols. The work on these topics is still under way. During my stay in Lyon, I gave a seminar on my current research interests. I was also the Chair of the doctoral defense committee for Dinil Mon Divakaran (Dealing with Elephants in the Internet: Towards a Flow-Based Internet Architecture). January-March 2011 I spent my Winter 2011 sabbatical in Paris dividing my time between the Ecole Nationale Suprieure des Tlcommunications (ENST) and the LIP6 laboratory at the University Pierre et Marie Curie (Paris VI). My main research during this period was in the area of applicability of state sampling to the solution of models of large dimension (ENST with Dr. Thomas Bonald), as well as automated model generation and calibration (LIP6 with Prof. Serge Fdida). During my stay in Paris, I gave an invited talk at the LINCS Institute in Paris on possible approaches to cicumvent the intrinsic complexity of standard queueing network solutions. The work on state sampling expands my previous work on fast solutions with partial state evaluation in computer and network models. The question addressed here was the applicability of this method to networks with strong coupling for which an exact product-form solution exists but is costly to compute. The preliminary results seem encouraging at least for some classes of models. The results obtained will become the subject of a future paper. The work on automatic model generation and calibration was an attempt to apply methods developed previously during the Ph. D. work of Thomas Begin to the modeling of the behavior of wireless networks. This work is still ongoing Classes taught recently Probability and statistics for engineers (upper division undergraduate) Computer architecture (upper division undergraduate) Performance evaluation (graduate) Advanced topics in performance evaluation (graduate) Network engineering project (graduate capstone). diff --git a/src/data/compiled_bios/122.txt b/src/data/compiled_bios/122.txt new file mode 100644 index 0000000000..ba90debf1d --- /dev/null +++ b/src/data/compiled_bios/122.txt @@ -0,0 +1 @@ + Ruzica Piskac Publications Projects Professional Activities Teaching Group Ruzica Piskac is an assistant professor (tenure-track) at Yale , Computer Science Department . Her research interests span the areas of programming languages, software verification, automated reasoning, and code synthesis. A common thread in Ruzica's research is improving software reliability and trustworthiness using formal techniques. Ruzica has received a NSF CAREER award for her proposal, "Synthesis in a Live Programming Environment". Ruzica received her PhD degree from the cole polytechnique fdrale de Lausanne ( EPFL ) in 2011. She was awarded the Patrick Denantes Memorial Prize for her PhD dissertation. Her advisor was Viktor Kunak . She holds a Master's degree in Computer Science, obtained from the University of Saarland (supervised by Harald Ganzinger at Max-Planck Institute for Computer Science ) in Saarbrcken, Germany, as well as a Master's degree in mathematics from the University of Zagreb , Croatia. For more information, see her complete CV . Address Yale University 51 Prospect Street, office AKW 212 New Haven, CT 06511 Telephone (203) 432 8001 E-Mail Publications: Recent All Probabilistic Automated Language Learning for Configuration Files Mark Santolucito, Ennan Zhai, and Ruzica Piskac In Proceedings of Computer Aided Verification (CAV), 2016 A Type-Directed Approach to Program Repair Alex Reinking and Ruzica Piskac In Proceedings of Computer Aided Verification (CAV), 2015 StriSynth: Synthesis for Live Programming Sumit Gulwani, Mikal Mayer, Filip Niksic, and Ruzica Piskac In Proceedings of International Conference on Software Engineering (ICSE), 2015 InSynth: A System for Code Completion using Types and Weights Tihomir Gvero, Viktor Kuncak, Ivan Kuraj, and Ruzica Piskac In Proceedings of Software Engineering & Management, 2015 From Decision Procedures to Synthesis Procedures Ruzica Piskac In Proceedings of Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2015 Probabilistic Automated Language Learning for Configuration Files Mark Santolucito, Ennan Zhai, and Ruzica Piskac In Proceedings of Computer Aided Verification (CAV), 2016 Paper (pdf) Software failures resulting from configuration errors have become commonplace as modern software systems grow increasingly large and more complex. The lack of language constructs in configuration files, such as types and grammars, has directed the focus of a configuration file verification towards building post-failure error diagnosis tools. In addition, the existing tools are generally language specific, requiring the user to define at least a grammar for the language models and explicit rules to check. In this paper, we propose a framework which analyzes datasets of correct configuration files and derives rules for building a language model from the given dataset. The resulting language model can be used to verify new configuration files and detect errors in them. Our proposed framework is highly modular, does not rely on the system source code, and can be applied to any new configuration file type with minimal user input. Our tool, named ConfigC, relies on an abstract representation of language rules to allow for this modularity. ConfigC supports learning of various rules, such as orderings, value relations, type errors, or user defined rules by using a probabilistic type inference strategy and defining a small interface for the rule type. Close A Type-Directed Approach to Program Repair Alex Reinking and Ruzica Piskac In Proceedings of Computer Aided Verification (CAV), 2015 Paper (pdf) Developing enterprise software often requires composing several libraries together with a large body of in-house code. Large APIs introduce a steep learning curve for new developers as a result of their complex object-oriented underpinnings. While the written code in general reflects a programmers intent, due to evolutions in an API, code can often become ill-typed, yet still syntactically-correct. Such code fragments will no longer compile, and will need to be updated. We describe an algorithm that automatically repairs such errors, and discuss its application to common problems in software engineering. Close StriSynth: Synthesis for Live Programming Sumit Gulwani, Mikal Mayer, Filip Niksic, and Ruzica Piskac In Proceedings of International Conference on Software Engineering (ICSE), 2015 Paper (pdf) Motivated by applications in automating repetitive file manipulations, we present a tool called StriSynth, which allows end-users to perform transformations over data using examples. Based on provided examples, our tool automatically generates scripts for non-trivial file manipulations. Although the current focus of StriSynth are file manipulations, it implements a more general string transformation framework. This framework builds on and further extends the functionality of Flash Fill -- a Microsoft Excel extension for string transformations. Close InSynth: A System for Code Completion using Types and Weights Tihomir Gvero, Viktor Kuncak, Ivan Kuraj, and Ruzica Piskac In Proceedings of Software Engineering & Management, 2015 Paper (pdf) Developing modern software typically involves composing functionality from existing libraries. This task is difficult because libraries may expose many methods to the developer. To help developers in such scenarios, we present a technique that synthesizes and suggests valid expressions of a given type at a given program point. As the basis of our technique we use type inhabitation for lambda calculus terms in long normal form. We introduce a succinct representation for type judgements that merges types into equivalence classes to reduce the search space, then reconstructs any desired number of solutions on demand. Furthermore, we introduce a method to rank solutions based on weights derived from a corpus of code. We implemented the algorithm and deployed it as a plugin for the Eclipse IDE for Scala. We show that the techniques we incorporated greatly increase the effectiveness of the approach. Our evaluation benchmarks are code examples from programming practice; we make them available for future comparisons. The results presented here were published as a research paper at the ACM SIGPLAN Conference on Programming Language Design and Implementation, (PLDI 13), Seattle, WA, USA, June 16-19, 2013. This extended abstact also contains some excerpts from the original paper. Close From Decision Procedures to Synthesis Procedures Ruzica Piskac In Proceedings of Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2015 Paper (pdf) Software synthesis is a technique for automatically generating code from a given specification. The goal of software synthesis is to make software development easier while increasing both the productivity of the programmer and the correctness of the produced code. In this paper we present an approach to synthesis that relies on the use of automated reasoning and decision procedures. First we describe how to generalize decision procedures into predictable and complete synthesis procedures. Here completeness means that the procedure is guaranteed to find code that satisfies the given specification. We illustrate the process of turning a decision procedure into a synthesis procedure using linear integer arithmetic as an example. However, writing a complete specification can be a tedious task, sometimes even harder than writing the code itself. To overcome this problem, ideally the user could provide a few input-output examples, and then the code should be automatically derived. We outline how to broaden usability and applications of current software synthesis techniques. We conclude with an outlook on possible future research directions and applications of synthesis procedures. Close Conference Papers Probabilistic Automated Language Learning for Configuration Files Mark Santolucito, Ennan Zhai, and Ruzica Piskac In Proceedings of Computer Aided Verification (CAV), 2016 A Type-Directed Approach to Program Repair Alex Reinking and Ruzica Piskac In Proceedings of Computer Aided Verification (CAV), 2015 StriSynth: Synthesis for Live Programming Sumit Gulwani, Mikal Mayer, Filip Niksic, and Ruzica Piskac In Proceedings of International Conference on Software Engineering (ICSE), 2015 InSynth: A System for Code Completion using Types and Weights Tihomir Gvero, Viktor Kuncak, Ivan Kuraj, and Ruzica Piskac In Proceedings of Software Engineering & Management, 2015 From Decision Procedures to Synthesis Procedures Ruzica Piskac In Proceedings of Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2015 Probabilistic Automated Language Learning for Configuration Files Mark Santolucito, Ennan Zhai, and Ruzica Piskac In Proceedings of Computer Aided Verification (CAV), 2016 Paper (pdf) Software failures resulting from configuration errors have become commonplace as modern software systems grow increasingly large and more complex. The lack of language constructs in configuration files, such as types and grammars, has directed the focus of a configuration file verification towards building post-failure error diagnosis tools. In addition, the existing tools are generally language specific, requiring the user to define at least a grammar for the language models and explicit rules to check. In this paper, we propose a framework which analyzes datasets of correct configuration files and derives rules for building a language model from the given dataset. The resulting language model can be used to verify new configuration files and detect errors in them. Our proposed framework is highly modular, does not rely on the system source code, and can be applied to any new configuration file type with minimal user input. Our tool, named ConfigC, relies on an abstract representation of language rules to allow for this modularity. ConfigC supports learning of various rules, such as orderings, value relations, type errors, or user defined rules by using a probabilistic type inference strategy and defining a small interface for the rule type. Close A Type-Directed Approach to Program Repair Alex Reinking and Ruzica Piskac In Proceedings of Computer Aided Verification (CAV), 2015 Paper (pdf) Developing enterprise software often requires composing several libraries together with a large body of in-house code. Large APIs introduce a steep learning curve for new developers as a result of their complex object-oriented underpinnings. While the written code in general reflects a programmers intent, due to evolutions in an API, code can often become ill-typed, yet still syntactically-correct. Such code fragments will no longer compile, and will need to be updated. We describe an algorithm that automatically repairs such errors, and discuss its application to common problems in software engineering. Close StriSynth: Synthesis for Live Programming Sumit Gulwani, Mikal Mayer, Filip Niksic, and Ruzica Piskac In Proceedings of International Conference on Software Engineering (ICSE), 2015 Paper (pdf) Motivated by applications in automating repetitive file manipulations, we present a tool called StriSynth, which allows end-users to perform transformations over data using examples. Based on provided examples, our tool automatically generates scripts for non-trivial file manipulations. Although the current focus of StriSynth are file manipulations, it implements a more general string transformation framework. This framework builds on and further extends the functionality of Flash Fill -- a Microsoft Excel extension for string transformations. Close InSynth: A System for Code Completion using Types and Weights Tihomir Gvero, Viktor Kuncak, Ivan Kuraj, and Ruzica Piskac In Proceedings of Software Engineering & Management, 2015 Paper (pdf) Developing modern software typically involves composing functionality from existing libraries. This task is difficult because libraries may expose many methods to the developer. To help developers in such scenarios, we present a technique that synthesizes and suggests valid expressions of a given type at a given program point. As the basis of our technique we use type inhabitation for lambda calculus terms in long normal form. We introduce a succinct representation for type judgements that merges types into equivalence classes to reduce the search space, then reconstructs any desired number of solutions on demand. Furthermore, we introduce a method to rank solutions based on weights derived from a corpus of code. We implemented the algorithm and deployed it as a plugin for the Eclipse IDE for Scala. We show that the techniques we incorporated greatly increase the effectiveness of the approach. Our evaluation benchmarks are code examples from programming practice; we make them available for future comparisons. The results presented here were published as a research paper at the ACM SIGPLAN Conference on Programming Language Design and Implementation, (PLDI 13), Seattle, WA, USA, June 16-19, 2013. This extended abstact also contains some excerpts from the original paper. Close From Decision Procedures to Synthesis Procedures Ruzica Piskac In Proceedings of Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2015 Paper (pdf) Software synthesis is a technique for automatically generating code from a given specification. The goal of software synthesis is to make software development easier while increasing both the productivity of the programmer and the correctness of the produced code. In this paper we present an approach to synthesis that relies on the use of automated reasoning and decision procedures. First we describe how to generalize decision procedures into predictable and complete synthesis procedures. Here completeness means that the procedure is guaranteed to find code that satisfies the given specification. We illustrate the process of turning a decision procedure into a synthesis procedure using linear integer arithmetic as an example. However, writing a complete specification can be a tedious task, sometimes even harder than writing the code itself. To overcome this problem, ideally the user could provide a few input-output examples, and then the code should be automatically derived. We outline how to broaden usability and applications of current software synthesis techniques. We conclude with an outlook on possible future research directions and applications of synthesis procedures. Close Journal Paper Thesis Workshop Papers Technical Reports Projects ConfigC Misconfiguration errors account for the majority of downtime in real-world deployed systems. ConfigC is a machine learning based system to automatically learn specifications for configuration files and check for correctness. It uses an association rule learning approach to build sets of predicates any correct configuration files must satisfy. G2 G2 is a symbolic execution framework for Haskell that utilizes evaluation and translation of semi-compiled Haskell source. The project is intended for automatic program exploration and input-output example generation, with additional goals to tackle difficult problems such as constraint solving for higher-order functions. Winston Winston is a type-directed expression synthesis tool that can also generate repairs of ill-typed expressions from their sound subexpressions. It uses a novel search space pruning technique based on graph distance to run interactively. GRASShopper GRASShopper is an experimental verification tool for programs that manipulate dynamically allocated data structures. GRASShopper programs can be annotated with specifications expressed in a decidable specification logic to check functional correctness properties. The logic supports mixing of separation logic and first-order logic assertions, yielding expressive yet concise specifications. Professional Activities: Program Committee Organizer FMCAD 2016 , 17th International Conference on Formal Methods in Computer-Aided Design. SMT 2016 , 14th International Workshop on Satisfiability Modulo Theories. GANDALF 2016 , 7th International Symposium on Games, Automata, Logics and Formal Verification. SYNT 2016 , 5th Workshop on Synthesis. AGERE 2015 , ACM SIGPLAN Workshop on Programming based on Actors, Agents, and Decentralized Control 2015. Scala 2015 , Scala Symposium 2015. Scala 2014 , annual Scala Workshop. POPL 2017 , member of the External Research Committee IJCAR 2016 FoSSaCS 2016 FASE 2016 CADE 2015 TACAS 2015 VMCAI 2015 SOFSEM 2015 JAR, special issue on interpolation 2014 AGERE 2014 POPL 2014 CSL-LICS 2014 Acta Informatica (Volume 52) POPL 2013 ESEC/FSE 2013 TASE 2013 VSTTE 2012 FM 2012 CONCUR 2012 FoSSaCS 2011 Awards The Microsoft Research Award for the Software Engineering Innovation Foundation (SEIF) 2014 Elected Member of Elisabeth-Schiemann-Kolleg, Max Planck Society, 2014 The Patrick Denantes Prize 2012 winner, awarded annually to an outstanding Master, Doctoral or Post-doc project from the I&C School" (the school of computer and communication sciences at EPFL) Research Highlight paper published in Communications of the ACM (55), Volume 55, Number 2, February 2012 Rising Stars in EECS: An Academic Career Workshop for Women, MIT, Cambridge, MA, 2012 - by invitation only The Google Anita Borg Memorial Scholarship 2010 winner Group Current members Ennan Zhai (Post-doctoral researcher) Mark Santolucito (PhD student) Bill Hallahan (PhD student) Anton Xue (Undergraduate student) Former members Alex Reinking (PhD student, UC Berkeley) ` diff --git a/src/data/compiled_bios/1220.txt b/src/data/compiled_bios/1220.txt new file mode 100644 index 0000000000..259c5be498 --- /dev/null +++ b/src/data/compiled_bios/1220.txt @@ -0,0 +1 @@ + Snigdha Chaturvedi Search this site Navigation Home Professional Contact Home I am an Assistant Professor at UCSC. Before this, I was a postdoctoral researcher in Dan Roth 's group at the University of Pennsylvania and University of Illinois, Urbana-Champaign . I finished my PhD in Computer Science at the University of Maryland, College Park working with Dr. Hal Daume III . Before joining UMD, I was a Blue Scholar in the Information Management team at IBM-India Research Labs, New Delhi from Aug. 2009 to Aug. 2011. My undergraduate years were spent in Indian Institute of Technology (IIT), Kanpur from where I graduated in 2009 as a BTech in Computer Science and Engineering. My bachelor's thesis focused on the problem of predicting cardiological conditions from automatic analysis of ECG signals. Note for prospective graduate students: Even though I would love to, it is not possible for me to respond to all emails from prospective students. If you are interested in working with me, please apply to UCSC's PhD program in CS and mention my name in your statement-of-purpose. Depending on the pool of applicants and my funding situation, I intend to admit either 0 or 1 student every year.Unfortunately, it is not possible to provide an estimate of an individual's likelihood of getting into the program without looking at all applicants. Please do not ask me to do that. Also, I don't have summer internship positions in my lab. If you have a question that was not answered here and you are sending me an email, include "CMPS" in your subject so that it doesn't go to my spam folder and I know that you have read this :) ------------------------------------------------------------------------------------------------- ---------------------------------------------- News : -- April 2018: Joining as an Assistant professor at UCSC -- April 8, 2016: Defended my dissertation -- December 10, 2015: Magazine article on our work here -- November 12, 2015: 3 papers (on desire fulfillment and relationship modeling) accepted for presentation at AAAI 2016 -- August 21, 2015: Selected for attending the WPI STEM Faculty Launch Program -- April 22, 2015: Awarded the Kulkarni Summer Research Fellowship by UMD for this summer. -- March 12, 2015: My IBM PhD Fellowship was renewed. Thanks IBM :) News on CS@UMD -- October 10, 2014: Won first place at the ACM SRC (Student Research Competition) held at Grace Hopper Conference, 2014. News on ACM webpage . ( experience ) ( slides ) ( poster ) ( twitter ) -- April 18, 2014: Will be going back to IBM T J Watson Research Center in Yorktown Heights for internship this summer. I will be working with Dmitry Malioutov , Rick Lawrence and team. -- Mar 5, 2014: Our paper titled ' Predicting Instructor Intervention in MOOC Forums ' was accepted for presentation at ACL 2014 -- Feb 25, 2014: Won best poster award at Google DC PhD Summit, Washington DC -- Feb 18,2014: Received IBM PhD Fellowship , 2014-15. News on CS@UMD's webpage . -- December 27, 2013: Pape r on 'Joint Question Clustering and Relevance Prediction for Open Domain Non-Factoid Question Answering' accepted at WWW2014 -- October 5, 2013: Attended the Grace Hopper Conference, 2013 -- September 18, 2013: Paper on 'Discriminatively Enhanced Topic Models' accepted in ICDM, 2013 -- July 23, 2013: Got the Grace Hopper Scholarship to attend the conference ( view my profile here ) Will be in Minneapolis in October. -- Summer , 2013: I am an intern at IBM TJ Watson research Center working on QA with Vittorio Castelli and team. -- Got my RA appointment letter for Spring 2012. I'll be working with Dr. Hal Daume III --Attended Google Grad CS Forum at Mountain View, California, January 18-20, 2012 -- Found links to the Google India Women in Engineering Award :) here , here and here and also to IITK convocation awards see page 39 Comments Anonymous undefined Your +mention will add people to this discussion and send an email. Making sure people you mentioned have access The assigned person will be notified and responsible for marking as done. Cancel You do not have permission to add comments. Sign in | Recent Site Activity | Report Abuse | Print Page | Powered By Google Sites diff --git a/src/data/compiled_bios/1221.txt b/src/data/compiled_bios/1221.txt new file mode 100644 index 0000000000..62c76b2caa --- /dev/null +++ b/src/data/compiled_bios/1221.txt @@ -0,0 +1 @@ + Seshadhri Comandur E-Mail Address Please Enable JavaScript scomandu@ucsc.edu Title Associate Professor, Computer Science and Engineering Department Computer Science and Engineering Office Location Engineering 2, Room 347A Research Areas Data science, mathematical foundations of big data, massive graph analysis, scalable graph algorithms, sublinear algorithms, randomized algorithms Are you Seshadhri Comandur? If so, you can update your directory information . diff --git a/src/data/compiled_bios/1222.txt b/src/data/compiled_bios/1222.txt new file mode 100644 index 0000000000..8df12ae02e --- /dev/null +++ b/src/data/compiled_bios/1222.txt @@ -0,0 +1 @@ + home publications software cv james davis davis@cs.ucsc.edu James Davis davis@cs.ucsc.edu Email 363 Engineering II Office 1156 High St #SOE3 Computer Science Dept UC Santa Cruz, CA 95064 Address School of Engineering UC Santa Cruz Affiliations Teaching 2019 Spring CMPS160/L - Introduction to Computer Graphics 2018 Fall CMPS160/L - Introduction to Computer Graphics 2018 Fall CMPS260 - Computer Graphics Research Computer Graphics, Machine Vision, Computational Photography I'm primarily interested in how we acquire models of the visual complexity of the real world. I've worked on interpreting images from standard cameras, and also building new kinds of cameras, 3D sensors, and other crazy devices to make these measurements. Of course displaying this visual complexity is as important as measuring it. Current projects relate to image based sensors for relightable images, as well as novel displays for both relightable images and 3D stereo. Information and Communication Technology for Development (ICTD) Computing technology has historically had huge impacts on the cost structure of many industries, dramatically lowering the costs of some activities, which in turn affects what is possible. It has the potential to have similar huge impacts on global poverty, by similarly lowering costs in key places. Current projects are related to delivering digital work to needy populations, telemedicine eye care, and measuring water collection time and distances in urban informal settlements. Human Computation Silicon computers can't do everything. For example, they are terrible at most tasks in computer vision. However people have great visual reasoning skills. If we could just make a function call to a person, we could build many computer systems and services that are currently impossible. The field of human computation is broadly about how we can actually build these sorts of joint systems. For me, this ties together the two areas above. I have current research both reinventing computer vision to make use of human computation, as well as looking at the skills and employability of the human workers who are now part of the system. Entrepreneurship While I don't publish on entrepreneurship in the academic sense that a economics professor does, I am deeply interested in how we bring our academic research to actual use in the real world. I'm on the advisory boards of a number of startups which range from brand new student dreams to companies with 8-digit valuations. I was the founding Director of the Center for Entrepreneurship at UCSC, and it has now trasitioned to other leadership. diff --git a/src/data/compiled_bios/1223.txt b/src/data/compiled_bios/1223.txt new file mode 100644 index 0000000000..b674bced68 --- /dev/null +++ b/src/data/compiled_bios/1223.txt @@ -0,0 +1 @@ + Luca de Alfaro E-Mail Address Please Enable JavaScript luca@ucsc.edu Title Professor, Computer Science and Engineering Department Computer Science and Engineering Telephone Number 831-459-4982 Office Location Engineering 2, Room 339A Office Hours https://calendar.google.com/calendar/b/1?cid=dWNzYy5lZHVfYWdtN2I3c2J1ZjBycWlwOWI0Y25jcHE3ZjRAZ3JvdXAuY2FsZW5kYXIuZ29vZ2xlLmNvbQ Mail Stop SOE3 Biography Dr. Luca de Alfaro works in the areas of crowdsourcing, reputation systems, game theory and incentives, and formal methods. Research Areas Reputation systems Crowdsourcing Game theory Formal methods Web Page Home page Google+ (CS announcements, job postings, and more) Degree Ph.D. in Computer Science, 1998, Stanford University Students Rakshit Agrawal (Graduate) Shenshen Liang (Graduate) Golam Md Muktadir (Graduate) Alumni Maria Daltayanni (Alumni) Are you Luca de Alfaro? If so, you can update your directory information . diff --git a/src/data/compiled_bios/1224.txt b/src/data/compiled_bios/1224.txt new file mode 100644 index 0000000000..1fc4c5d98e --- /dev/null +++ b/src/data/compiled_bios/1224.txt @@ -0,0 +1 @@ + BIO : Subhas Desa is the Undergraduate Director of the Information Systems and Technology Management Program in the School of Engineering at UC Santa Cruz. Dr. Desa has extensive research, teaching, consulting, and industrial experience in the development, management, and commercialization of technologies and products . His research areas include product design and development , manufacturing , advanced physical modeling and control , robotics , and, more recently, supply-chain modeling and control . His research work on the integration of design and manufacturing at Carnegie Mellon University , received the Eastman Kodak and American Society of Mechanical Engineers (ASME) Design Automation Committee Award in 1989. At the Sibley School of Mechanical and Aerospace Engineering at Cornell he developed new project-based graduate and undergraduate courses in product design and development, and also received an Engineering "Excellence in Teaching Award" in connection with teaching these courses. His industrial experience includes the development of the thermal ink jet at Hewlett Packard , physical modeling and control of complex technological systems ranging from giant magneto resistive (GMR) thin films to autonomous communication satellites at SC Solutions , and business strategy for High-Tech at McKinsey . At UCSC, he has created and taught a sequence of courses in the Management of Technology (MOT) , and has been nominated for Excellence in Teaching in regard to teaching these courses. The first course in the MOT sequence focuses on the development, commercialization, and management of products, while the second course focuses on the analysis, design, and optimization of the supply chain network for the distribution of the product. Dr. Desa received his undergraduate degree from the Indian Institute of Technology, Madras , and his Ph.D. in Mechanical Engineering from Stanford University . ISM Exit Interview (On-line edition) ISTM Slide Show Email diff --git a/src/data/compiled_bios/1225.txt b/src/data/compiled_bios/1225.txt new file mode 100644 index 0000000000..8d0b24e74e --- /dev/null +++ b/src/data/compiled_bios/1225.txt @@ -0,0 +1 @@ + Max Dunne E-Mail Address Please Enable JavaScript mdunne@soe.ucsc.edu Department Electrical and Computer Engineering Computer Science and Engineering Office Location Engineering 2, 329 Degree Masters In Computer Engineering, 2014, UC Santa Cruz Bachelors of Science In Computer Engineering, 2010, UC Santa Cruz Bachelors of Science In Electrical Engineering, 2010, UC Santa Cruz Are you Max Dunne? If so, you can update your directory information . diff --git a/src/data/compiled_bios/1226.txt b/src/data/compiled_bios/1226.txt new file mode 100644 index 0000000000..0a20e46969 --- /dev/null +++ b/src/data/compiled_bios/1226.txt @@ -0,0 +1 @@ + Sheldon (Shel) Finkelstein E-Mail Address Please Enable JavaScript shel@ucsc.edu Department Computer Science and Engineering Telephone Number 650 743-6938 (Mobile) Office Location E2-249B Office Hours Winter 2019: CMPS 180 Mon 3:00-4:00pm; CMPS 101 Fri 3:00-5:0pm; or by appointment Mail Stop SOE3 Biography Shel Finkelsteinhas been a Lecturer at UC Santa Cruz since January 2014, teaching courses in database and other areas. Shel joined SAP in 2006 where he was Vice President, Applied Research Fellow and a Chief Technology Architect, working on data management and applications. Prior to SAP, Shel was at Sun Microsystems, where he managed architecture and partnership relationships for Enterprise Java (J2EE, now JEE) when it was created, and was a Technical Director in Suns CTO office, leading several technology initiatives. Shel also was a Research Staff Member and manager on database and distributed systems at IBM Almaden Research, was a senior developer on the Transaction Management Facility and System-Managed Storage at Tandem Computers, and had senior positions at two database startups. Research Areas Database and data management Transaction management Distributed systems Are you Sheldon (Shel) Finkelstein? If so, you can update your directory information . diff --git a/src/data/compiled_bios/1227.txt b/src/data/compiled_bios/1227.txt new file mode 100644 index 0000000000..6c13b9d462 --- /dev/null +++ b/src/data/compiled_bios/1227.txt @@ -0,0 +1 @@ + Cormac Flanagan E-Mail Address Please Enable JavaScript cormac@ucsc.edu Title Professor, Computer Science and Engineering Department Computer Science and Engineering Telephone Number 831-459-5375 Office Location Engineering 2, Room 367 Mail Stop SOE3 Biography Cormac Flanagan is a Professor of Computer Science at the University of California, Santa Cruz (UCSC), where he leads the Software and Languages Research Group. Prior to joining UCSC in 2003, he was a Principal Research Scientist at Hewlett Packard Corporation, at Compaq Computer Corporation, and at Digital Equipment Corporation. He received the B.S. degree in Computer Science and Mathematics from University College Dublin, Ireland in 1990; and the M.S. and Ph.D. degrees in Computer Science from Rice University, in 1995 and 1997 respectively. Dr. Flanagan holds 6 U.S. patents and has published 85 journal and conference papers. He is the recipient of an Alfred P. Sloan Foundation Fellowship, a Most Influential PLDI Paper Award, as well as Distinguished Paper awards at ECOOP and ISSTA. His research has been supported by the NSF, DoD, Microsoft, IBM, UC and others. Research Areas Programming languages, computer security, concurrency, verification, type systems, dynamic and static program analysis Web Page Cormac Flanagan's Home Page Degree M.S in Mathematics and Computer Science, 1990, University College Dublin M.S. in Computer Science, 1995, Rice University Ph.D in Computer Science, 1997, Rice University Students Christopher Schuster (Graduate) Are you Cormac Flanagan? If so, you can update your directory information . diff --git a/src/data/compiled_bios/1228.txt b/src/data/compiled_bios/1228.txt new file mode 100644 index 0000000000..430e327861 --- /dev/null +++ b/src/data/compiled_bios/1228.txt @@ -0,0 +1 @@ + J. J. Garcia-Luna-Aceves E-Mail Address Please Enable JavaScript jj@soe.ucsc.edu Title Distinguished Professor, Computer Science and Engineering Jack Baskin Endowed Professor of Computer Engineering CITRIS Campus Director Department Computer Science and Engineering Telephone Number 831-459-4153 (Office) Office Location Engineering 2, Room 317 Office Hours By appointment. Mail Stop SOE3 Biography J.J. Garcia-Luna-Aceves received the B.S. degree in Electrical Engineering from the Universidad Iberoamericana, Mexico City, Mexico in 1977; and the M.S. and Ph.D. degrees in Electrical Engineering from the University of Hawaii at Manoa, Honolulu, HI in 1980 and 1983, respectively. He is a Distinguished Professor of Computer Engineering at the University of California, Santa Cruz (UCSC), holds the Jack Baskin Endowed Chair of Computer Engineering, and is a Principal Scientist at the Palo Alto Research Center (PARC). Prior to joining UCSC in 1993 he was a Center Director at SRI International (SRI) in Menlo Park, California. He has been a Visiting Professor at Sun Laboratories in Menlo Park, California, and a Principal of Protocol Design at Nokia in Mountain View, California. Dr. Garcia-Luna-Aceves was elected a Corresponding Member of the Mexican Academy of Sciences in 2013; and is a fellow of the Institute of Electrical and Electronics Engineers (IEEE), the Association for Computing Machinery (ACM), and the American Association for the Advancement of Science (AAAS). He received the 2016 IEEE MILCOM Technical Achievement Award for sustained contributions to military communications. He received the IEEE Computer Society Technical Achievement Award in 2011 "for pioneering contributions to the theory and design of communication protocols for ad-hoc wireless networks." He received the IEEE Communications Society Ad Hoc and Sensor Networks Technical Committee (AHSN TC) Technical Recognition Award in 2012 for fundamental contributions to the theory and design of communication protocols for routing and channel access in ad-hoc wireless networks. He is the co-recipient of the IEEE Fred W. Ellersick 2008 MILCOM Award for best unclassified paper. He is also co-recipient of Best Paper Awards at IEEE IPCCC 2018, the European Wireless Conference 2010, IEEE MASS 2008, SPECTS 2007, IFIP Networking 2007, and IEEE MASS 2005 conferences, and of the Best Student Paper Award of the 1998 IEEE International Conference on Systems, Man, and Cybernetics. He received the SRI International Exceptional-Achievement Award in 1985 and 1989. Dr. Garcia-Luna-Aceves holds 62 U.S. patents and has published more than 500 papers in journals, conferences, and books. He has directed more than 40 Ph.D. theses and more than 30 M.S. theses since he joined UCSC in 1993. He has served as the Chair of the ACM Special Interest Group on Multimedia and as General Chair of numerous conferences, including IEEE ICNC 2016, ACM MSWIM 2015, ACM MobiCom 2008, IEEE SECON 2005, ACM Multimedia '93, and ACM SIGCOMM '88. He has also served as Program Chair of ACM MobiHoc 2002, ACM MobiCom 2000, IEEE MULTIMEDIA '92, ACM SIGCOMM '87, and ACM SIGCOMM '86. He has served in the IEEE Internet Technology Award Committee, the IEEE Richard W. Hamming Medal Committee, and the National Research Council Panel on Digitization and Communications Science of the Army Research Laboratory Technical Assessment Board. Dr. Garcia-Luna-Aceves directs the Computer Communication Research Group (CCRG) and starting in 2018 serves as the director of CITRIS (Center for Information Technology Research in the Interest of Society) at UC Santa Cruz. Research Areas Principles of computer communication Internet Wireless networks Internet of Things Information-centric networks Cyber-physical networks Mobile and pervasive computing Web Page Personal Page Publications CCRG Google Scholar Citations Top H-Index for Computer Science and Electronics Students Ehsan Hemmati (Graduate) Alumni Turhan Karadeniz (Alumni) Rolando Menchaca-Mendez (Alumni) Marco Aurelio Spohn (Alumni) Are you J. J. Garcia-Luna-Aceves? If so, you can update your directory information . diff --git a/src/data/compiled_bios/1229.txt b/src/data/compiled_bios/1229.txt new file mode 100644 index 0000000000..73e1fee177 --- /dev/null +++ b/src/data/compiled_bios/1229.txt @@ -0,0 +1 @@ + Lise Getoor E-Mail Address Please Enable JavaScript getoor@ucsc.edu Title Professor, Computer Science and Engineering Department Computer Science and Engineering Telephone Number 831-459-1489 Office Location Engineering 2, Room 341B Mail Stop SOE3 Research Areas Machine learning, reasoning under uncertainty, databases, data science for social good, artificial intelligence, data integration, database query optimization and approximate query processing, entity resolution, information extraction, utility elicitation, planning under uncertainty, contraint-based reasoning, abstraction and problem reformulation Web Page Personal Homepage Group Homepage Degree PhD in Computer Science, Stanford MS in Computer Science, UC Berkeley BS in Computer Science, UC Santa Barbara Students Eriq Augustine (Graduate) Are you Lise Getoor? If so, you can update your directory information . diff --git a/src/data/compiled_bios/123.txt b/src/data/compiled_bios/123.txt new file mode 100644 index 0000000000..2d324742ad --- /dev/null +++ b/src/data/compiled_bios/123.txt @@ -0,0 +1 @@ + Dragomir R. Radev LILY (Language, Information, and Learning at Yale) lab Department of Computer Science also: Yale Institute for Network Science Yale University New Haven, CT Research: Publications ([ HTML ] [ PDF ] [ BIB ] [ Search ] [ DBLP list ]) Google Scholar Page Older research projects at Michigan The Sapphire Project (Michigan and IBM) Bibliographies: Text Summarization ( HTML BIB PDF ), Graph-based NLP and IR ( HTML BIB PDF ), NLP for Bioinformatics ( HTML BIB PDF ), Deep Learning for NLP ( HTML BIB PDF ), Dialogue Systems ( HTML BIB PDF ), Scientometrics ( HTML BIB PDF ), Crosslanguage Information Retrieval ( HTML BIB PDF ), Natural Language Access to Databases ( HTML BIB PDF ) Miscellaneous ( HTML BIB PDF ) News: AAN (All About NLP): High-quality Resources about Deep Learning and NLP The North American Computational Linguistics Olympiad (NACLO) , including 200+ sample problems. Puzzles in Logic, Languages, and Computation (Volume 1 of this edited collection) Puzzles in Logic, Languages, and Computation (Volume 2 of this edited collection) Graph-based NLP and IR (book by Mihalcea and Radev) Slides from the tutorial on Graph-based methods for IR and NLP that Rada Mihalcea and I gave at HLT-NAACL 2006 in New York. (old) I was the local host for ACL 2005 in Ann Arbor, June 25-30, 2005. (old) CLAIR News Teaching: Fall 2018: CPSC 677 (Advanced Natural Language Processing) - TBA Spring 2018: CPSC 477/577 (Natural Language Processing) Fall 2017: CPSC 470/570 (Artificial Intelligence) Spring 2017: CPSC 477/577 (Natural Language Processing) (any term): CPSC 290/490 (Independent Study Projects in Natural Language Processing and Machine Learning) Research Community: I was the secretary (2006-2015) of the Association for Computational Linguistics ( ACL ) Association for Computing Machinery ( ACM ): SIGIR , SIGMOD American Association for Artificial Intelligence ( AAAI ) Miscellaneous: Advice (old) Blog My favorite movies New Haven: Ann Arbor: New York: Sofia: diff --git a/src/data/compiled_bios/1230.txt b/src/data/compiled_bios/1230.txt new file mode 100644 index 0000000000..1061a84811 --- /dev/null +++ b/src/data/compiled_bios/1230.txt @@ -0,0 +1 @@ + Abhradeep Guha Thakurta ABOUT RESEARCH EXPERIENCE HONORS MEDIA and PRESS Assistant Professor Department of Computer Science University of California Santa Cruz Email: <"First character of the name">guhatha@ucsc.edu diff --git a/src/data/compiled_bios/1231.txt b/src/data/compiled_bios/1231.txt new file mode 100644 index 0000000000..b8852a8429 --- /dev/null +++ b/src/data/compiled_bios/1231.txt @@ -0,0 +1 @@ + Matthew Guthaus E-Mail Address Please Enable JavaScript mrg+web@ucsc.edu Title Professor Department Computer Science and Engineering Office Location Engineering 2, Room 225 Office Hours Winter/Spring 2019: by appointment Mail Stop SOE3 Biography Dr. Matthew Guthaus is a Full Professor at the University of California Santa Cruz in the Computer Science and Engineering department. He received his BSE in Computer Engineering in 1998, MSE in 2000, and PhD in 2006 in Electrical Engineering all from The University of Michigan. Dr. Guthaus is a Senior Member of ACM and IEEE and a member of IFIP Working Group 10.5. His research interests are in low-power computing and computer-aided design. This includes new circuits, architectures, and software to address integration in modern design flows. Dr. Guthaus is the creator of the OpenRAM memory compiler and has interests in open-source computer-aided design and design flows. Dr. Guthaus is the recipient of a 2011 NSF CAREER award and a 2010 ACM SIGDA Distinguished Service Award. Research Areas Electronic Computer-Aided Design (ECAD) Design Automation Chip design (VLSI) Low-power circuits Clocking circuits and design automation Memory circuits and design automation Systems-on-Chips Circuit Optimization Physical Design Open Source Software Web Page Matthew Guthaus' Personal Page VLSI Design Automation Group Projects OpenRAM Selected Publications Google Scholar Publications List Degree Ph.D. in Electrical Engineering, 2006, The University of Michigan MSE in Electrical Engineering, 2000, The University of Michigan BSE in Computer Engineering, 1998, The University of Michigan Students Kyle Cordes (Alumni) Hany Ahmed Fahmy (Graduate) Michael Timothy Grimes (Graduate) Hunter Nichols (Graduate) Rebecca Jennifer Rashkin (Lecturer) Jennifer Eve Sowash (Graduate) Bin wu (Graduate) Alumni Jie Zhang (Alumni) Are you Matthew Guthaus? If so, you can update your directory information . diff --git a/src/data/compiled_bios/1232.txt b/src/data/compiled_bios/1232.txt new file mode 100644 index 0000000000..65f8c5a65f --- /dev/null +++ b/src/data/compiled_bios/1232.txt @@ -0,0 +1 @@ + DAVID P. HELMBOLD Professor, Computer Science Phone: 831-459-2016 Fax: 831-459-4829 dph@soe.ucsc.edu Computer Science Department E2 Building room 345B University of California Santa Cruz, CA 95064 David Helmbold received PhD in Computer Science from Stanford University in 1987 where he worked on parallel algorithms and the debugging of parallel programs. He joined the Computer Science Department at UC Santa Cruz where he has been a faculty member for over 25 years. At Santa Cruz his research interests shifted to theoretical Machine Learning, with an emphasis on boosting methods and on-line learning algorithms. He is a long-standing member of the computational learning theory community, having hosted the COLT conference and served on the COLT steering committee. David Helmbold's current research centers around machine learning and computational learning theory. In addition to theoretical work, he has applied learning algorithms to practical problems such as determining when to spin down a disk drive in a portable computer to save power. Recent Publications David P. Helmbold and Philip M. Long New Bounds for Learning Intervals with Implications for Semi-Supervised Learning Although labeled training data can be expensive, often there is a source of cheap unlabeled examples. This paper shows that access to unlabeled examples provably helps even when the distribution over examples is adversarial and the classes are not well-separated. Our results include the first progress in almost 20 years on determining the exact number of examples required to obtain a given error guarantee when learning intervals. James Pettit and David P. Helmbold Evolutionary Learning of Policies for MCTS Simulations Monte-Carlo Tree Search (MCTS) is a recent technique for evaluating moves and positions in abstract games like Go and Hex. MCTS dynamically grows a partial search-tree while performing a large number of artificial play-outs to evaluate moves. These artificial play-outs first traverse to a leaf in the partial search tree and then use a simple (usually randomized) policy to complete the game and obtain feedback about the goodness of the leaf. Surprisingly, using better or stronger policies to complete the playouts often causes the MCTS system to perform worse. In the above paper we present an evolutionary approach for discovering simple randomized strategies that improve the quality of the overall MCTS system. David P. Helmbold and Philip M. Long On the Necessity of Irrelevant Variables in ICML 2011 and the long version in JMLR 13 (2012). When creating a classifier, a natural inclination is to only use variables that are obviously relevant since irrelevant variables typically decrease the accuracy of a classifier. Some researchers use the goodness of a predictive model as support for the relevance of the used variables. The above papers show that the harm done by irrelevant variables can be much less than the benefit from relevant variables. Therefore it can be advantageous to continue adding variables to the model, even as their prospects for being relevant fade away. Manfred K. Warmuth, Wouter M. Koolen, and David P. Helmbold Combining Initial Segments of Lists in ALT 2011. Damian Eads, Edward Rosten, and David Helmbold. Learning object location predictors with boosting and grammer-guided feature extraction in Proceedings of the British Machine Vision Conference (BMVC) , September 2009. David Helmbold and Aleatha Parker-Wood. All-moves-as-first heuristics in monte-carlo go in Hamid R. Arabnia, David de la Fuente, and Jose A. Olivas, editors, Proceedings of the 2009 International Conference on Artificial Intelligence , pages 605--610. WorldComp, July 2009. David Helmbold and Manfred K. Warmuth. Learning Permutations with exponential weights in Journal of Machine Learning Research, vol. 10, pages 1687--1718, July 2009. (The conference version appeared in COLT 2007.) Additional Selected Publications Here is a list containing many of my other publications. It includes work in the areas of Object Detection and Terrain classification, Computer Go, Boosting, On-line learning, Other learning theory, and Learning Applications, as well as some older work on Debugging of Parallel Programs and Parallel Algorithms. UCSC hosted a machine learning summer school at Santa Cruz in 2012. See mlss.soe.ucsc.edu . Last modified March 12, 2014 (05:11:39 PM). diff --git a/src/data/compiled_bios/1233.txt b/src/data/compiled_bios/1233.txt new file mode 100644 index 0000000000..0f9727656c --- /dev/null +++ b/src/data/compiled_bios/1233.txt @@ -0,0 +1 @@ + Richard Hughey E-Mail Address Please Enable JavaScript rph@soe.ucsc.edu Title Vice Provost and Dean of Undergraduate Education Professor, Computer Science and Engineering Professor, Biomolecular Engineering Department Biomolecular Engineering Computer Science and Engineering Telephone Number 831-459-1993 Office Location Kerr Hall, Room 211 Office Hours By appointment: mbarton@ucsc.edu Biography Richard Hughey is Vice Provost and Dean of Undergraduate Education (VPDUE) and a professor of computer engineering and of biomolecular engineering at the University of California, Santa Cruz. Prior to becoming VPDUE, he served as UCSC Co-Director of the Advanced Studies Laboratories (ASL), a partnership laboratory jointly run by UCSC and NASA Ames Research Center, where he spearheaded development of the Materials Analysis for Collaborative Science (MACS) Facility. The UCSC MACS Facility provides state-of-the-art analytical electron microscopy and surface science analysis to the UCSC, Ames, and Silicon Valley community. He led with collaborators UCSC's SURF-IT summer undergraduate research program sponsored by the National Science Foundation (2003-11). He is co-creator of the SAM sequence analysis package. He has previously served as chair of computer engineering, vice chair of biomolecular engineering, chair of the faculty committee responsible for undergraduate education, and chair of the faculty committee responsible for undergraduate admissions and financial aid. He has led or co-led development of a multitude of programs, including undergraduate programs in robotics engineering, bioengineering, network & digital technology, and bioinformatics; graduate programs or concentrations in bioinformatics, biomedical science and engineering, and robotics & control. In 2008 he received a UCSC Chancellor's Achievement Award for Diversity in recognition of his work within the Baskin School of Engineering. Research Areas Bioinformatics, hidden Markov models, computer architecture, parallel computation Web Page Division of Undergraduate Education B.S. in Bioengineering B.S. in Robotics Engineering SURF-IT Undergraduate Research Program UCSC MACS Facility at NASA Ames Selected Publications Finding the Next Computational Model: Experience with the UCSC Kestrel, R. Hughey , A. Di Blas, Journal of Signal Processing Systems, 53(1-2), Nov 2008 , DOI 10.1007/s11265-007-0130-1, pp. 171-186 A Di Blas, D Dahle, M Diekhans, L Grate, J Hirschberg, K Karplus, H Keller, M Kendrick, F Mesa-Martinez, DPease, ERice, A Schultz, D Speck, R Hughey The Kestrel Parallel Processor, IEEE TPDS, v. 16:1, 2005. Hidden Markov models for sequence analysis: Extension and analysis of the basic method. R. Hughey and A. Krogh, CABIOS 12(2): 95-107, 1996 J Alicia Grice, Richard Hughey, and Don Speck Reduced Space Sequence Alignment. CABIOS 13(1):45-53, 1997. Degree B.A. Mathematics, Swarthmore College B.S. Engineering, Swarthmore College Sc.M., Ph.D., Computer Science, Brown University Staff Peter Minogue Alumni Alex Atkins (Alumni) Are you Richard Hughey? If so, you can update your directory information . diff --git a/src/data/compiled_bios/1234.txt b/src/data/compiled_bios/1234.txt new file mode 100644 index 0000000000..0b5dbfb091 --- /dev/null +++ b/src/data/compiled_bios/1234.txt @@ -0,0 +1 @@ + Richard Jullig E-Mail Address Please Enable JavaScript rjullig@ucsc.edu Department Computer Science and Engineering Telephone Number 831-459-3250 Office Location Engineering 2, Room 247B (until further notice) Office Hours Tuesday/Thursday 10am-11am (except on Tu 02/05: no office hours) Mail Stop SOE3 Degree Ph.D. in Computer and Information Sciences, UC Santa Cruz Are you Richard Jullig? If so, you can update your directory information . diff --git a/src/data/compiled_bios/1235.txt b/src/data/compiled_bios/1235.txt new file mode 100644 index 0000000000..9d6c9ea22d --- /dev/null +++ b/src/data/compiled_bios/1235.txt @@ -0,0 +1 @@ + Phokion Kolaitis' Home Page Phokion Kolaitis' Home Page Phokion G. Kolaitis Distinguished Professor Computer Science and Engineering Department University of California, Santa Cruz Office : E2-345A Address : Computer Science and Engineering Department University of California, Santa Cruz Santa Cruz, CA 95064, USA Phone : 831-459-4768 e-mail : kolaitis at ucsc.edu Bio & CV Scholarly Work Teaching & Mentoring Editorial Work Personal Selected Links Biographical Sketch and Curriculum Vitae Phokion Kolaitis is a Distinguished Professor at UC Santa Cruz and a Principal Research Staff Member at the IBM Almaden Research Center . His research interests include principles of database systems, logic in computer science, and computational complexty. Kolaitis is a Fellow of the American Association for the Advancement of Science (AAAS), a Fellow of the Association for Computing Machinery (ACM) , a Foreign Member of the Finnish Academy of Science and Letters , a Foreign Member of Academia Europaea , and the recipient of a 1993 Guggenheim Fellowship . He is also the recipient of two IBM Research Division Outstanding Innovation Awards, an IBM Research Division Outstanding Technical Achievement Award, a co-winner of both the 2008 and the 2014 ACM PODS Alberto O. Mendelzon Test-of-Time Award , and a co-winner of the 2013 International Conference on Database Theory Test-of-Time Award . In 2014, Kolaitis was awarded an Honorary Doctorate Degree (Doctor Honoris Causa) from the National and Kapodistrian University of Athens, Greece. Curriculum Vitae Scholarly Work Books (co-authored and co-edited) List of publications from the DBLP Bibliography Server Citations (Google Scholar) Current Sponsored Research: DBCOMSOC - Databases Meet Computational Social Choice Selected Past Sponsored Research: Aspects of Intergrating Heterogeneous and Inconcistent Data Selected Past Sponsored Research: Data Interoperability via Schema Mappings Logical Structures in Computation, Simons Institute for the Theory of Computing, Fall 2016 Teaching and Mentoring Selected Current and Recent Teaching Ph.D. Students Supervised Postdoctoral Scholars Mentored Editorial Work Current Editorial Appointments Past Editorial Appointments Personal Some Personal Information Selected Links AAAS - American Association for the Advancement of Science ACM - Association for Computing Machinery Academia Europea ASL - Association for Symbolic Logic CRA - Computing Research Association SIGLOG - ACM Special Interest Group on Logic and Computation LICS - IEEE Symposium on Logic in Computer Science PODS - ACM Symposium on Principles of Database Systems ICDT - International Conference on Database Theory Simons Institute for the Theory of Computing The TeachLogic Project Wikipedia entry for Phokion, "The Good" Wikipedia entry for Kolaitis (the village) Irini Kolaitis, MD Nicholas Kolaitis, MD Counter You are the latest visitor to this web page! The counter has just been increased by 1. Phokion G. Kolaitis Computer Science and Engineering Department University of California, Santa Cruz Santa Cruz, CA 95064, USA (831) 459-4768 kolaitis at ucsc.edu diff --git a/src/data/compiled_bios/1236.txt b/src/data/compiled_bios/1236.txt new file mode 100644 index 0000000000..fdc1e32bec --- /dev/null +++ b/src/data/compiled_bios/1236.txt @@ -0,0 +1 @@ + Lindsey Kuper Assistant Professor Computer Science Department Jack Baskin School of Engineering University of California, Santa Cruz Ph.D., 2015 Indiana University lkuper@ucsc.edu lindsey@composition.al CV Research blog GitHub Twitter "Permit yourself to open a book and start reading from anywhere." Manuel Blum Program committees, etc. ( why review papers? ) Steering committee member and publicity chair, ACM SIGPLAN International Conference on Functional Programming (ICFP) , 20152018. Program co-chair, Domain-Specific Language Design and Implementation (DSLDI) 2018 . Program co-chair, DSLDI 2017 . General chair, Off the Beaten Track (OBT) 2017 . Program chair, OBT 2016 . Program committees: SPLASH 2018 Doctoral Symposium ; OOPSLA 2018 ; Principles and Practice of Consistency for Distributed Data (PaPoC) 2018 ; ICFP 2017 ; DSLDI 2016 ; IFL 2015 ; Onward! Papers 2015 ; PaPoC 2015 ; OBT 2015 ; IFL 2014 ; Haskell Symposium 2014 . External review committees: PLDI 2019; PLDI 2018 ; ECOOP 2016 ; POPL 2016 . Conference publications Parallelizing Julia with a non-invasive DSL. Todd A. Anderson, Hai Liu, Lindsey Kuper, Ehsan Totoni, Jan Vitek, and Tatiana Shpeisman. Appeared in ECOOP 2017 . Artifact successfully evaluated . Taming the parallel effect zoo: extensible deterministic parallelism with LVish. Lindsey Kuper, Aaron Todd, Sam Tobin-Hochstadt and Ryan R. Newton. Appeared in PLDI 2014 . Artifact successfully evaluated . Freeze after writing: quasi-deterministic parallel programming with LVars. Lindsey Kuper, Aaron Turon, Neelakantan R. Krishnaswami and Ryan R. Newton. Appeared in POPL 2014 . Workshop publications Joining forces: toward a unified account of LVars and convergent replicated data types. Lindsey Kuper and Ryan R. Newton. Appeared in WoDet 2014 . LVars: lattice-based data structures for deterministic parallelism. Lindsey Kuper and Ryan R. Newton. Appeared in FHPC 2013 . A pattern matcher for miniKanren, or, how to get into trouble with CPS macros. Andrew W. Keep, Michael D. Adams, Lindsey Kuper, William E. Byrd and Daniel P. Friedman. Appeared in Scheme 2009 . Short papers and posters Toward scalable verification for safety-critical deep networks. Lindsey Kuper, Guy Katz, Justin Gottschlich, Kyle Julian, Clark Barrett, and Mykel J. Kochenderfer. Appeared in SysML 2018 . Poster available. LVars for Parallel Programming. Isaiah Weating and Lindsey Kuper. Awarded third place in Indiana University Undergraduate Research Opportunities in Computing (UROC) Poster Competition, May 2013. Technical reports and work in progress Deterministic threshold queries of distributed data structures. Lindsey Kuper and Ryan R. Newton. Draft, July 2014. Freeze after writing: quasi-deterministic parallel programming with LVars. (56 pages) Lindsey Kuper, Aaron Turon, Neelakantan R. Krishnaswami and Ryan R. Newton. Indiana University Technical Report TR710, November 2013. A lattice-theoretical approach to deterministic parallelism with shared state. (60 pages) Lindsey Kuper and Ryan R. Newton. Indiana University Technical Report TR702, October 2012. Parametric polymorphism through run-time sealing, or, theorems for low, low prices! Amal Ahmed, Lindsey Kuper, and Jacob Matthews. Draft, fall 2011. Safety in numbers. (104 pages) David Melski, David Cok, John Phillips, Scott Wisniewski, Suan Hsi Yong, Nathan Lloyd, Lindsey Kuper, Denis Gopan and Alexey Loginov. GrammaTech, Inc. project final report, November 2010. Efficient representations for triangular substitutions: A comparison in miniKanren. David C. Bender, Lindsey Kuper, William E. Byrd, and Daniel P. Friedman. Draft, January 2010. Dissertation Lattice-based data structures for deterministic parallel and distributed programming. September 2015. Talks Abstractions for expressive, efficient parallel and distributed computing. UC Santa Cruz, Santa Cruz, CA, March 5, 2018. Proving that safety-critical neural networks do what they're supposed to! The Recurse Center, New York, NY, May 8, 2017. A tour of ParallelAccelerator.jl: a library and compiler for high-level, high-performance scientific computing in Julia. Center for Computer Research in Music and Acoustics, Stanford University, Palo Alto, CA, January 18, 2017. JuliaCon 2016, Cambridge, MA, June 24, 2016. ( video ) Prospect: a library and compiler for high-level, high-performance scientific computing in Julia. University of CaliforniaBerkeley, Berkeley, CA, April 14, 2016. Prospect: finding and exploiting parallelism in a productivity language for scientific computing. SPLASH-I 2015, Pittsburgh, PA, October 29, 2015. ( video ) LVars for distributed programming, or, LVars and CRDTs join forces. IFIP Working Group 2.8 (Functional Programming), Kefalonia, Greece, May 26, 2015. LVars: lattice-based data structures for deterministic parallel and distributed programming. Compose::Conference, New York, NY, January 31, 2015. The Recurse Center, New York, NY, March 24, 2014. Intel Labs, Santa Clara, CA, March 21, 2014. University of Utah, Salt Lake City, UT, March 4, 2014. Microsoft Research, Mountain View, CA, January 27, 2014. Joining forces: toward a unified account of LVars and convergent replicated data types. WoDet 2014, Salt Lake City, UT, March 2, 2014. Freeze after writing: quasi-deterministic parallel programming with LVars. POPL 2014, San Diego, CA, January 23, 2014. LVars: lattice-based data structures for deterministic parallelism. Mozilla Corporation, Mountain View, CA, October 31, 2013. RICON West 2013, San Francisco, CA, October 29, 2013. (Note: Unfortunately, the video of this talk appears to have been lost . If you have a recording of it, please get in touch with me !) FHPC 2013, Boston, MA, September 23, 2013. The Recurse Center, New York, NY, June 10, 2013. A lattice-based approach to deterministic parallelism. MPI-SWS, Saarbrcken, Germany, January 30, 2013. ( video ) POPL 2013 student talk session, Rome, Italy, January 25, 2013. A lattice-based approach to deterministic parallelism with shared state. Aarhus University, Aarhus, Denmark, September 14, 2012. University of CaliforniaBerkeley, Berkeley, CA, August 16, 2012. Rust typeclasses turn trait-er. Mozilla Corporation, Mountain View, CA, August 9, 2012. ( video ) Hacking the Rust object system at Mozilla. Grinnell College, Grinnell, IA, April 5, 2012. (invited talk, hosted by the Grinnell Alumni Scholars Program ) Some pieces of the Rust object system: extension, overriding, and self. Mozilla Corporation, Mountain View, CA, August 18, 2011. Parametric polymorphism through run-time sealing, or, theorems for low, low prices! Northeastern University, Boston, MA, February 23, 2011. A system for testing specifications of CPU semantics, or, what I did on my summer vacation. GrammaTech, Inc., Ithaca, NY, August 20, 2010. Personal My husband , Alex Rudnick , is a computational linguistics and machine learning researcher. We like to run marathons together. diff --git a/src/data/compiled_bios/1237.txt b/src/data/compiled_bios/1237.txt new file mode 100644 index 0000000000..13d22e3f6e --- /dev/null +++ b/src/data/compiled_bios/1237.txt @@ -0,0 +1 @@ + Skip to main content Tracy Larrabee Navigation Home Office Location: 237 Jack Baskin Engineering Building , UCSC Office Hours: by email appointment Or drop me email message Or post on my personal forum (just have to log in using cruzid blue to post) Currently Teaching: CE16 Current Positions: Associate Dean for Undergraduate Affairs at the Jack Baskin School of Engineering Professor in the Computer Science and Engineering Deartment at UCSC Education: B.S. in Engineering and Applied Science from Caltech M.S. and Ph.D. in Computer Science from Stanford University UCSC This site is maintained by: larrabee@ucsc.edu UC Santa Cruz, 1156 High Street, Santa Cruz, CA 95064 Copyright 2019 The Regents of the University of California. All rights reserved. Log In diff --git a/src/data/compiled_bios/1238.txt b/src/data/compiled_bios/1238.txt new file mode 100644 index 0000000000..cfbbda5519 --- /dev/null +++ b/src/data/compiled_bios/1238.txt @@ -0,0 +1 @@ + Jeff LeFevre Assistant Adjunct Professor Department of Computer Science and Engineering University of California, Santa Cruz jlefevre@cs.ucsc.edu My research interests are in cloud databases and storage systems. I currently lead the Skyhook: programmable storage for databases project as part of the Center for Research on Open Source Software at UC Santa Cruz. Skyhook is an open source project that extends Ceph distributed object storage with customized data management functions. I also collaborate with the Systems Research Lab on the larger programmable storage effort. I received my PhD in June 2014 from UC Santa Cruz Database group and subsequently joined Hewlett Packard Big Data R&D (Vertica database) where I worked on integrating Vertica with external analtyics engines such as Distributed-R and Apache Spark. At UC Santa Cruz my PhD advisor was Neoklis Polyzotis and my PhD thesis title is "Physical design tuning methods for emerging system architectures". My thesis (abstract) introduces new physical design methods for databases in the cloud. Specifically I address RDBMS, Hadoop, and hybrid 'multistore' (combined RDBMS + Hadoop co-processing) system architectures. Previously, I received my MS from the University of California, San Diego in the Systems and Networking Group . My MS advisor was Walt Burkhard and my MS thesis title is "Improving disk array performance and reliability". I received a BS in Computer Science & Engineering from the University of South Florida . During graduate school I spent several summers at NEC Labs working on CloudDB in the Data Management group, at Google in the Platforms Storage group, and at Teradata in the Virtual Storage Architecture group. Current CV . Publications M. Sevilla, R. Nasirigerdeh, C. Maltzahn, J. LeFevre , N. Watkins, P. Alvaro, M. Lawson, J. Lofstead, J. Pivarski, "Tintenfisch: File System Namespace Schemas and Generators" , Hot Storage 2018 . M. Sevilla, N. Watkins, I. Jimenez, P. Alvaro, S. Finkelstein, J. LeFevre , C. Maltzahn, "Malacology: A Programmable Storage System" , EuroSys 2017 . J. LeFevre , R. Liu, C. Inigo, M. Castellanos, L. Paz, E. Ma, M. Hsu, "Building the Enterprise Fabric for Big Data with Vertica and Spark" , SIGMOD 2016 . S. Prasad, A. Fard, V. Gupta, J. Martinez, J. LeFevre , V. Xu, M. Hsu, I. Roy, "Large-scale Predictive Analytics in Vertica: Fast Data Transfer, Distributed Model Creation, and In-database Prediction" , SIGMOD 2015 . J. LeFevre , J. Sankaranarayanan, H. Hacigumus, J. Tatemura, N. Polyzotis, M.J. Carey, "MISO: Souping Up Big Data Query Processing with a Multistore System" , SIGMOD 2014 . pdf . J. LeFevre , J. Sankaranarayanan, H. Hacigumus, J. Tatemura, N. Polyzotis, M.J. Carey, "Opportunistic Physical Design for Big Data Analytics" , SIGMOD 2014 . pdf . J. LeFevre , J. Sankaranarayanan, H. Hacigumus, J. Tatemura, N. Polyzotis, "Towards a Workload for Evolutionary Analytics" , 2nd Workshop on Data Analytics in the Cloud, (co-located at SIGMOD 2013). ( extended version ). H. Hacigumus, J. Sankaranarayanan, J. Tatemura, J. LeFevre , N. Polyzotis, "Odyssey: a multistore system for evolutionary analytics" , VLDB 2013 . M.P. Consens, K. Ioannidou, J. LeFevre , N. Polyzotis, "Divergent Physical Design Tuning for Replicated Databases" , SIGMOD 2012 . pdf . I. Jimenez, J. LeFevre , N. Polyzotis, H. Sanchez, K. Schnaitter, "Benchmarking Online Index-Tuning Algorithms" , IEEE Data Engineering Bulletin 34(4) 2011. J. Buck, N. Watkins, J. LeFevre , K. Ioannidou, C. Maltzahn, N. Polyzotis, S. Brandt, "SciHadoop: Array-based Query Processing in Hadoop" , SC 2011 . D. Kephart, J. LeFevre , "CodeGen: The Generation and Testing of DNA Code Words" , IEEE Evolutionary Computation 2004 . pdf . Google Scholar profile Courses Taught CMPS 181 Database Systems II (ugrad), Winter 2014 Other Teaching Guest Lecturer: CMPS 180 Database Systems I (ugrad), Winter 2018 . CMPS 229 Storage Systems (grad), Spring 2017 (4 sessions). CMPS 181 Database Systems II (ugrad), Spring 2016 . Teaching Assistant: CMPS 111 Operating Systems (ugrad), Fall 2008 . Professional Service Program Committee: SMDB 2019 SSDBM 2019 MDM 2018 ICDE 2016 Reviewer: TKDE 2015, 2016, 2017 DAPD 2015, 2016, 2017 External Reviewer: VLDB 2015 diff --git a/src/data/compiled_bios/1239.txt b/src/data/compiled_bios/1239.txt new file mode 100644 index 0000000000..0dd878ca38 --- /dev/null +++ b/src/data/compiled_bios/1239.txt @@ -0,0 +1 @@ + Bob Levinson E-Mail Address Please Enable JavaScript levinson@soe.ucsc.edu Title Professor Emeritus, Computer Science Department Computer Science and Engineering Mail Stop SOE3 Research Areas Artificial intelligence, machine learning, heuristic search, associative pattern retrieval, hierarchical reinforcement learning, semantic networks Are you Bob Levinson? If so, you can update your directory information . diff --git a/src/data/compiled_bios/124.txt b/src/data/compiled_bios/124.txt new file mode 100644 index 0000000000..8ddb0f74f8 --- /dev/null +++ b/src/data/compiled_bios/124.txt @@ -0,0 +1 @@ +Vladimir Rokhlins research interests include fast deterministic and randomized algorithms of computational mathematics, numerical scattering theory, partial differential equations, integral equations, quadrature formulae, numerical harmonic analysis, numerical linear algebra, special functions, fast algorithms of numerical linear algebra. Rokhlin is a member of the National Academy of Sciences; Member of the National Academy of Engineering; recipient of the 2001 Leroy P. Steele Prize for a Seminal contribution to Research; recipient of the 2001 Rice University Distinguished Alumnus Award; recipient of the 2006 Institute of Electrical and Electronics Engineers (IEEE) Honorary Membership; 2009 SIAM Fellow; recipient of the 2011 Maxwell Prize from the ICIAM; recipient of the 2014 William Benter Prize, and Fellow of the American Academy of Arts and Sciences, 2016. Representative Publications: A Fast Algorithm for Particle Simulations, with L. Greengard, Journal of Computational Physics, 73(1): 325 (1987). Diagonal Forms of Translation Operators for the Helmholtz Equation in Three Dimensions, Applied and Computational Harmonic Analysis 1:82-93, 1993. Randomized Algorithms for the Low-Rank Approximation of Matrices, with E. Liberty, F. Woolfe, P.G. Martinsson, and M. Tygert, PNAS, V. 104, No. 51, pp. 20167-20172, 2007. diff --git a/src/data/compiled_bios/1240.txt b/src/data/compiled_bios/1240.txt new file mode 100644 index 0000000000..e0dcb74402 --- /dev/null +++ b/src/data/compiled_bios/1240.txt @@ -0,0 +1 @@ + Heiner Litz Assistant Professor Contact Information Engineering 2 University of California, Santa Cruz ude.cscu@ztilh Welcome to my webpage! I am an Assistant Professor in the Computer Science & Engineering (CSE) Department of the Baskin School of Engineering at the University of California Santa Cruz. My main research interests are in Computer Architecture, Operating Systems and Storage with a focus on data centers. My work addresses the unique challenges of data center systems, such as extreme scale, the insatiable need for higher performance at lower cost and the performance predictability of multi-tenancy systems. I am also interested in machine learning and its application to processor microarchitecture and systems. Before joining UCSC I was a Postdoc at Stanford University where I worked with Christos Kozyrakis and David Cheriton . I received my PhD from Mannheim University. I am looking for great PhD and MS students to join my lab. If you are interested, please get in contact with me. I have two open Postdoc positions. If you are interested in data center storage systems or machine learning techniques to improve micro architecture and Operating Systems please get in contact with me. News September 2018: Received a grant from NSF! September 2018: Received a grant Intel! September 2018: Received a grant from Western Digital! September 2018: Welcome Saba, Minghau, Peter & Jayanth July 2018: Serving on the HPCA-IS and ICPADS PC May 2018: Learning Memory Access Patterns paper accepted at ICML! April 2018: Selecta paper accepted at Usenix ATC! April 2018: Received a grant from NXP. Thank you! March 2018: ReFlex on ACM Sigarch March 2018: Learning Memory Access Patterns on MIT Technology Review Februar 2018: Serving on the PPoPP'19 PC Februar 2018: Selecta Poster at SysML Januar 2018: Grazelle Paper accepted at PPoPP'18! Januar 2018: Serving on the SoCC'18 PC December 2017: Received a grant from Samsung. Thank you! October 2017: Received a grant from Broadcom. Thank you! September 2017: Received a donation from CNEX Labs. Thank you! March 2017: ReFlex on The Next Platform Teaching Fall 2018: CMPE220 Advanced Parallel Computing - canvas website Spring 2018: CMPE110 Computer Architecture - canvas website Office Hours Monday 2:30-3:30 pm Wednesday 2:30-3:30 pm Students Saba Jamilan (PhD) Minghao Xie (PhD) Chandranil Chakraborttii (PhD) Peter Braun (MSc) Jayanth Induri (MSc) Publications Milad Hashemi, Kevin Swersky, Jamie A. Smith, Grant Ayers, Heiner Litz, Jichuan Chang, Christos Kozyrakis, Parthasarathy Ranganathan Learning Memory Access Patterns in the 35th International Conference on Machine Learning (ICML), 2018 [PDF] Ana Klimovic, Heiner Litz, Christos Kozyrakis Selecta: Learning Heterogeneous Cloud Storage Configuration for Data Analytics in the 2018 USENIX Annual Technical Conference (USENIX'18), 2018 [PDF] Samuel Grossman, Heiner Litz, Christos Kozyrakis Making Pull-Based Graph Processing Performant in the 23rd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP'23), 2018 [PDF] [CODE] Ana Klimovic, Heiner Litz, Christos Kozyrakis ReFlex: Remote Flash == Local Flash in the 22nd International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS'22), 2017 [PDF] [CODE] Heiner Litz, Benjamin Braun, David Cheriton EXCITE-VM: Extending the Virtual Memory System to Support Snapshot Isolation Transactions in the 25th International Confernce on Parallel Architectures and Compilation Techniques (PACT'25), 2016 [PDF] Heiner Litz, Ricardo J. Dias, David Cheriton Efficient Correction of Anomalies in Snapshot Isolation Transactions in ACM Transactions on Architecture and Code Optimization (TACO), 2015 [PDF] Heiner Litz, David Cheriton, Amin Firozshahian, Omid Azizi, J. Peter Stevenson SI-TM: Improving Transactional Memory Abort Rates through Snapshot Isolation in Proceedings of the 19th Internation Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS'19), March 2014 [PDF] Bo Wang, Heiner Litz, David Cheriton HICAMP Bitmap: Space-efficient Updatable Bitmap Index for In-memory Databases In 10th International Workshop on Data Management on New Hardware (DAMON'10), June 2014 [PDF] Michael Chan, Heiner Litz, David Cheriton Rethinking Network Stack Design with Memory Snapshots in Proceedings of the 14th Usenix Workshop on Hot Topics in Operating Systems (HotOS'14) [PDF] Holger Frning, Mondrian Nssle, Heiner Litz, Christian Leber and Ulrich Brning On Achieving High Message Rates in Proceedings of the 13th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid-2013), May 13-16, 2013, Delft, The Netherlands [PDF] Heiner Litz, Christian Leber, Benjamin Geib DSL Programmable Engine for High Frequency Trading Acceleration in Proceedings of the 4th Workshop on High Performance Computational Finance (WHPCF-2011), co-located with SC11, November 13th, 2011, Seattle, USA [PDF] Christian Leber, Benjamin Geib, Heiner Litz High Frequency Trading Acceleration using FPGAs in Proceedings of the 21rd International Conference on Field Programmable Logic and Applications (FPL'21), September 5-7, 2011, Chania, Greece [PDF] Heiner Litz, Maximilian Thrmer, Ulrich Brning TCCluster: A Cluster Architecture Utilizing the Processor Host Interface as a Network Interconnect in Proceedings of IEEE International Conference on Cluster Computing (CLUSTER), September 20-24, 2010, Heraklion, Greece [PDF] Holger Frning and Heiner Litz Efficient Hardware Support for the Partitioned Global Address Space in Proceedings of the 10th Workshop on Communication Architecture for Clusters (IPDPSW), co-located with the 24th International Parallel and Distributed Processing Symposium (IPDPS 2010), April 19, 2010, Atlanta, Georgia [PDF] Heiner Litz, Holger Frning, Maximilian Thrmer, Ulrich Brning An FPGA based Verification Platform for HyperTransport 3.x in Proceedings of the 19th International Conference on Field Programmable Logic and Applications (FPL'19), August 31 - September 2, 2009, Prag, Czech Republic [PDF] Heiner Litz, Holger Frning, Ulrich Brning A HyperTransport 3 Physical Layer Interface for FPGAs in Proceedings of the 5th International Workshop on Applied Reconfigurable Computing (ARC'6) , March 16 - 18, 2009, Karlsruhe, Germany [PDF] Best paper award! Holger Frning, Heiner Litz, Ulrich Brning Efficient Virtualization of Network Interfaces in Proceedings of the 8th International Conference on Networks (ICN'8), March 1-6, 2009, Guadeloupe/France [PDF] Benjamin Kalisch, Alexander Giese, Heiner Litz, Ulrich Brning HyperTransport 3 Core: A Next Generation Host Interface with Extremely High Bandwidth in Proceedings of the 1st International Workshop on HyperTransport Research and Applications (WHTRA-2009), February 12th, 2009, Mannheim, Germany [PDF] Heiner Litz, Holger Frning, Mondrian Nssle, Ulrich Brning VELO: A Novel Communication Engine for Ultra-low Latency Message Transfers In Proceedings of the 37th International Conference on Parallel Processing (ICPP-2008), Sep. 8 - 12, 2008, Portland, USA Best paper award! [PDF] Mondrian Nssle, Holger Frning, Alexander Giese, Heiner Litz, David Slogsnat, Ulrich Brning A Hypertransport based low-latency reconfigurable testbed for message-passing developments in Proceedings of the 2nd Workshop Kommunikation in Clusterrechnern und Clusterverbundsystemen (KiCC'07), TU Chemnitz, February 2007. Holger Frning, Mondrian Nssle, David Slogsnat, Heiner Litz, Ulrich Brning The HTX-Board: A Rapid Prototyping Station in Proceedings of the 3rd annual FPGAworld Conference (FPGA-2006), Nov. 16, 2006, Stockholm, Sweden. Yun Ding, Heiner Litz Creating Multiplatform User Interfaces by Annotation and Adaptation' Proceedings of International Conference on Intelligent User Interfaces (IUI'11), Sydney, Australia, 29 January 2006 -- 1 February 2006 Yun Ding, Heiner Litz, Dennis Pfisterer A graphical single-authoring framework for building multi-platform user interfaces Proceedings of the Conference on Computer Aided Design of User Interfaces (CADUI), held with the International Conference on Intelligent User Interfaces (IUI'9), Funchal, Portugal, 14-16 January 2004 Yun Ding, Heiner Litz , Rainer Malaka and Dennis Pfisterer On Programming Information Agent Systems - An Integrated Hotel Reservation Service as Case Study Proceedings of the first German Conference on Multiagent System Technologies (MATES'03), 2003 Support Our group's research is generously supported by -- NSF, Western Digital, Intel, Samsung, Broadcom, NXP, CNEX Labs diff --git a/src/data/compiled_bios/1241.txt b/src/data/compiled_bios/1241.txt new file mode 100644 index 0000000000..f9d14433ee --- /dev/null +++ b/src/data/compiled_bios/1241.txt @@ -0,0 +1 @@ + Yang Liu Home Publications Projects Teaching CV Home Publications Projects Teaching CV Contact Assistant Professor Computer Science and Engineering @ UC Santa Cruz Email: yangliu@ucsc.edu Please turn Javascript on to e-mail me. Office: E2-341A About Me Im an Assistant Professor at the Computer Science and Engineering department at UC Santa Cruz . Previously I was holding a postdoctoral fellow position at Harvard University. I have a Ph.D. from the University of Michigan, Ann Arbor and a B.Sc. from Shanghai Jiao Tong University, China. I am interested in understanding the power of learning when facing noisy data collected from people. In particular, I focus on crowdsourcing and fairness issues, both in the context of machine learning. Recent news Our ReplicationMarket (RM) team is looking for journal partners to help us test the possibility of using prediction market to predict how reported experiment results replicate. Also see a news report here . Wed love to hear from you if you are interested, or if you have a contact to suggest. Twitter LinkedIn Google Scholar 01/10/2019 diff --git a/src/data/compiled_bios/1242.txt b/src/data/compiled_bios/1242.txt new file mode 100644 index 0000000000..1865a2de24 --- /dev/null +++ b/src/data/compiled_bios/1242.txt @@ -0,0 +1 @@ + Suresh K Lodha E-Mail Address Please Enable JavaScript lodha@soe.ucsc.edu Title Professor, Computer Science and Engineering Department Computer Science and Engineering Telephone Number 831-459-3773 Office Location Engineering 2, 361 or 262 Office Hours Spring 2018: TuTh 3:45-4:45pm and by appointment Mail Stop SOE3 Biography Prof. Lodha is interested in data curation (accessing and identifying relevant and reliable data) and visualization of socio-economic data. He is co-authors of The Atlas of Global Inequality and The Atlas of California. He is interested in an teaching data analytics and visualization at both undergraduate and graduate level. He is interested in equity-oriented community-engaged collaborative research to empower society using software and technology. He mentors both undergraduate and graduate students interested in multidisciplinary e-Research focusing on capacity building and nurtures them into co-authoring research monologues. He is interested in collaborating with students with shared interests at a wide range of universities internationally and remotely. He collaborates with research scholars and organizations with a focus on policy analysis and impactful research. Research Areas Data analytics and visualization, computational social science, technology for social good, data journalism Web Page Home Page Atlas of Global Inequality Atlas of California Research for Equitable California Center for Integrated Spatial Research Degree Ph.D., Computer Science, Rice University M. A. (Mathematics), University of California, Berkeley M. Sc., IIT Kanpur Students Fahim Hasan Khan (Graduate) Are you Suresh K Lodha? If so, you can update your directory information . diff --git a/src/data/compiled_bios/1243.txt b/src/data/compiled_bios/1243.txt new file mode 100644 index 0000000000..3d4fe29fed --- /dev/null +++ b/src/data/compiled_bios/1243.txt @@ -0,0 +1 @@ + Wesley Mackey E-Mail Address Please Enable JavaScript mackey@soe.ucsc.edu Department Computer Science and Engineering Telephone Number 831-459-5322 Office Location Engineering 2, Room 253 Office Hours See course information page for current courses. Mail Stop SOE3 Are you Wesley Mackey? If so, you can update your directory information . diff --git a/src/data/compiled_bios/1244.txt b/src/data/compiled_bios/1244.txt new file mode 100644 index 0000000000..aab9e49df2 --- /dev/null +++ b/src/data/compiled_bios/1244.txt @@ -0,0 +1 @@ + Carlos Maltzahn E-Mail Address Please Enable JavaScript carlosm@ucsc.edu Title Adjunct Professor, Computer Science and Engineering Director, Systems Research Lab (SRL) Director, Center for Research in Open Source Software (CROSS) Director, Institute for Scalable Scientific Data Management (ISSDM) Department Computer Science and Engineering Telephone Number 831-459-1627 Office Location Engineering 2, Room 369 Office Hours Wednesdays, 2-4pm Mail Stop SOE3 Biography Carlos Maltzahn is the founder and director of the UC Santa Cruz Center for Research in Open Source Software (CROSS). Dr. Maltzahn also co-founded the Systems Research Lab, known for its cutting-edge work on big data storage & processing, scalable data management, and distributed systems performance management. Carlos joined UC Santa Cruz in 2004, after five years at Netapp working on network-intermediaries and storage systems. In 2005 he co-founded and became a key mentor on Sage Weils Ceph project. In 2008 Carlos became a member of the computer science faculty at UC Santa Cruz and has graduated seven Ph.D. students since. Carlos graduated with a M.S. and Ph.D. in Computer Science from University of Colorado at Boulder. Research Areas Storage systems, reproducibility, data management games, network intermediaries, information retrieval, cooperation dynamics Web Page Carlos Maltzahn's Web Page UCSC Systems Research Lab (SRL) Center for Research in Open Source Software (CROSS) Institute for Scalable Scientific Data Management (ISSDM) Selected Publications Publications by citations (Google Scholar) Publications by year (Google Scholar) Degree Ph.D. in Computer Science, 1999, University of Colorado at Boulder Staff Stephanie C. Lieggi Lavinia Preston Alumni Neha Ojha (Alumni) Are you Carlos Maltzahn? If so, you can update your directory information . diff --git a/src/data/compiled_bios/1245.txt b/src/data/compiled_bios/1245.txt new file mode 100644 index 0000000000..9fd3595263 --- /dev/null +++ b/src/data/compiled_bios/1245.txt @@ -0,0 +1 @@ + Roberto Manduchi E-Mail Address Please Enable JavaScript manduchi@soe.ucsc.edu Title Professor, Computer Science and Engineering Department Computer Science and Engineering Telephone Number 831-459-1479 Office Location Engineering 2, Room 327 Office Hours W 11-12, Th 12-1 Mail Stop SOE3 Biography Dr. Manduchi obtained his "Dottorato di ricerca" in Electrical Engineering from the University of Padova, Italy, in 1993. He held professional positions at Apple Computer, Inc., and at the NASA Jet Propulsion Laboratory. He joined the Department of Computer Engineering at UC Santa Cruz in 2001. His research has been funded by DARPA, NASA, NSF and NIH. Research Areas Computer vision and sensor processing, with application to assistive technology for the visually impaired Web Page Personal Page Computer Vision Lab Assistive Technology Lab Students Andrew Allan Port (Graduate) Alumni Dr. Ryan Crabb (Alumni) Are you Roberto Manduchi? If so, you can update your directory information . diff --git a/src/data/compiled_bios/1246.txt b/src/data/compiled_bios/1246.txt new file mode 100644 index 0000000000..71a5304164 --- /dev/null +++ b/src/data/compiled_bios/1246.txt @@ -0,0 +1 @@ + Skip to main content Charlie McDowell Navigation Main menu Home Brief Bio News Projects Vita Java by Dissection Home Page Charlie McDowell is a Professor of Computer Science and Associate Dean for Undergraduate Affairs in the Baskin School of Engineering . One of his top priorities is increasing the participation of women in all engineering majors at UCSC. He is doing this by working with the National Center for Women and Information Technology through their Academic Alliance . Office: E2 349B Phone: 831 459-4772 Email: charlie@cs.ucsc.edu UCSC This site is maintained by: mcdowell@ucsc.edu UC Santa Cruz, 1156 High Street, Santa Cruz, CA 95064 Copyright 2019 The Regents of the University of California. All rights reserved. Log In diff --git a/src/data/compiled_bios/1247.txt b/src/data/compiled_bios/1247.txt new file mode 100644 index 0000000000..4283707223 --- /dev/null +++ b/src/data/compiled_bios/1247.txt @@ -0,0 +1 @@ + Ethan L. Miller E-Mail Address Please Enable JavaScript elm@ucsc.edu Title Professor, Computer Science and Engineering Veritas Presidential Chair in Storage Director, NSF I/UCRC Center for Research in Storage Systems Department Computer Science and Engineering Telephone Number 831-459-1222 (office) 831-345-4864 (cell) Office Location Engineering 2, Room 337A Office Hours Monday 2-4PM Mail Stop SOE3 Biography Professor Miller is the Director of the Center for Research in Storage Systems and the Associate Director of the Storage Systems Research Center at UC Santa Cruz. His primary research interests are in file and storage systems and, more generally, distributed systems and operating systems. His current projects include archival storage systems, scalable file system indexing, file systems for next-generation storage technologies, file system security, and petabyte-scale storage systems. His research interests also include storage system benchmarks, algorithms to more efficiently manage storage, and information retrieval from very large text and multimedia corpora as well as other problems in computer systems and security. Research Areas File & storage systems Non-volatile memory systems Operating systems Computer security Distributed systems Web Page Personal home page Storage Systems Research Center NSF I/UCRC Center for Research in Storage Systems Selected Publications J. S. Plank, K. M. Greenan, E. L. Miller, "Screaming Fast Galois Field Arithmetic Using Intel SIMD Extensions", Proceedings of the 11th Conference on File and Storage Systems (FAST 2013), Feb 2013. A. Leung, M. Shao, T. Bisson, S. Pasupathy, E. L. Miller, "Spyglass: Fast, Scalable Metadata Search for Large-Scale Storage Systems," Proceedings of the 7th USENIX Conference on File and Storage Technologies (FAST '09), February 2009. M. Storer, K. Greenan, E. Miller, K. Voruganti, "Pergamum: Replacing Tape with Energy Efficient, Reliable, Disk-Based Archival Storage," Proceedings of the 6th USENIX Conference on File and Storage Technologies (FAST '08), February 2008, pages 1-16. Sage Weil, Scott A. Brandt, Ethan L. Miller, Darrell D. E. Long, Carlos Maltzahn, "Ceph: A Scalable, High-Performance Distributed File System," Proceedings of the 7th Conference on Operating Systems Design and Implementation (OSDI '06), November 2006. Thomas Schwarz, Ethan L. Miller, "Store, forget, and check: Using algebraic signatures to check remotely administered storage," Proceedings of the IEEE Int'l Conference on Distributed Computing Systems (ICDCS '06), July 2006. Degree Ph.D. in Computer Science, 1995, UC Berkeley M.S. in Computer Science, 1990, UC Berkeley Sc.B. in Computer Science, 1987, Brown Students Varun Arora (Alumni) Matt Bryson (Graduate) Joel Cameron Frank (Alumni) James Hughes (Graduate) Rekha Pitchumani (Alumni) Alumni Ian Adams (Alumni) Are you Ethan L. Miller? If so, you can update your directory information . diff --git a/src/data/compiled_bios/1248.txt b/src/data/compiled_bios/1248.txt new file mode 100644 index 0000000000..761b86c43e --- /dev/null +++ b/src/data/compiled_bios/1248.txt @@ -0,0 +1 @@ + Gerald Moulds E-Mail Address Please Enable JavaScript gmoulds@soe.ucsc.edu Department Computer Science and Engineering Telephone Number 831-459-5286 Office Location Engineering 2, Room 237A Mail Stop SOE3 Research Areas Technical writing, professional communications Are you Gerald Moulds? If so, you can update your directory information . diff --git a/src/data/compiled_bios/1249.txt b/src/data/compiled_bios/1249.txt new file mode 100644 index 0000000000..3679b0b922 --- /dev/null +++ b/src/data/compiled_bios/1249.txt @@ -0,0 +1 @@ + UC Santa Cruz Jack Baskin School of Engineering John Musacchio Professor John Musacchio is a professor with the Computer Science and Engineering Department at the University of California Santa Cruz . Professor Musacchios research interests include network economics, game theory, stochastic modeling and control of queuing networks with applications in communications networks. Professor Musacchio completed his PhD in Jan 2005 from the Electrical Engineering & Computer Sciences Department at the University of California, Berkeley . His research advisor was Professor Jean Walrand, and his dissertation work dealt with both pricing of wireless networks, and control of queuing networks. From Nov 2000 to Jan 2003, Professor Musacchio helped architect a high-speed switch fabric chipset for the start-up company Terablaze, which was subsequently acquired by Agere in Jan 2004. Contact: John Musacchio Computer Science and Engineering University of California, Santa Cruz 1156 High Street, SOE 3 Santa Cruz, CA 95064-1077 diff --git a/src/data/compiled_bios/125.txt b/src/data/compiled_bios/125.txt new file mode 100644 index 0000000000..201a6819b8 --- /dev/null +++ b/src/data/compiled_bios/125.txt @@ -0,0 +1 @@ + Skip to Main Content Area Yale Computer Graphics Group Home People Research Areas Publications Software Packages About Us Close 2010-2019 Yale University All Rights Reserved ( important copyright information ) Holly Rushmeier View Publications Research Areas Holly Rushmeier Holly Rushmeier is a professor in the Yale Department of Computer Science. Her research interests include shape and appearance capture, applications of perception in computer graphics, modeling material appearance and developing computational tools for cultural heritage. History Holly Rushmeier received the BS, MS and PhD degrees in Mechanical Engineering from Cornell University in 1977, 1986 and 1988 respectively. Between receiving the BS and returning to graduate school in 1983 she worked as an engineer at the Boeing Commercial Airplane Company and at Washington Natural Gas Company (now a part of Puget Sound Energy). In 1988 she joined the Mechanical Engineering faculty at Georgia Tech. While there she conducted sponsored research in the area of computer graphics image synthesis and taught classes heat transfer and numerical methods at both the undergraduate and graduate levels. At the end of 1991 Holly Rushmeier joined the computing and mathematics staff of the National Institute of Standards and Technology, focusing on scientific data visualization. From 1996 to early 2004 Rushmeier was a research staff member at the IBM T.J. Watson Research Center. At IBM she worked on a variety of data visualization problems in applications ranging from engineering to finance. She also worked in the area of acquisition of data required for generating realistic computer graphics models, including a project to create a digital model of Michelangelo's Florence Pieta, and the development of a scanning system to capture shape and appearance data for presenting Egyptian cultural artifacts on the World Wide Web. Rushmeier was Editor-in-Chief of ACM Transactions on Graphics from 1996-99 and co-EiC of Computer Graphics Forum (2010-2014). She has also served on the editorial boards of IEEE Transactions on Visualization and Computer Graphics, ACM Journal of Computing and Cultural Heritage and IEEE Computer Graphics and Applications. She currently serves the editorial boards of ACM Transactions on Applied Perception, ACM Transactions on Graphics, the Visual Computer and Computers and Graphics. In 1996 she served as the papers chair for the ACM SIGGRAPH conference, in 1998,2004 and 2005 as the papers co-chair for the IEEE Visualization conference and in 2000 as the papers co-chair for the Eurographics Rendering Workshop. She has also served in numerous program committees including multiple years on the committees for SIGGRAPH, IEEE Visualization, Eurographics, Eurographics Rendering Workshop/Symposium, and Graphics Interface. Rushmeier is a fellow of the ACM and of the Eurographics Association. She has lectured at many meetings and academic institutions, including invited keynote presentations at international meetings (Eurographics Rendering Workshop 94, 3DIM 01 , Eurographics Conference 2001 and 2012, Pacific Graphics 2010, SCCG 2013, CGI 2014, CAA 2015 and VISAPP 2017.) She has spoken at and/or organized many tutorials and panels at the SIGGRAPH and IEEE Visualization conferences. Rushmeier served as chair of the Computer Science Department, July 2011- July 2014. Google Scholar Page Professional Activity Editor-in-Chief, ACM Transactions on Graphics (1996-9) co-Editor-in-Chief, Computer Graphics Forum (2010-2013) Editorial Board, IEEE Transactions on Visualization and Computer Graphics (1996-8 ), IEEE Computer Graphics and Applications (2002-2010), ACM Transactions on Applied Perception, ACM Journal of Computing and Cultural Heritage (2008-2015) and the Visual Computer Special Issue Guest Editor, April-June 1999 IEEE Transactions on Visualization and Computer Graphics, Guest co-Editor, September 2002, December 2003, and November 2014 IEEE Computer Graphics and Applications Chair, Papers Committee ACM SIGGRAPH 1996 Co-Chair, Papers Committee IEEE Visualization 1998, 2004, 2005 Co-Chair, Program for First Symposium on Applied Perception in Graphics and Visualization, 2004 Co-Chair, Eurographics Rendering Workshop, 2000 Program Co-Chair 1994 ACM/IEEE Symposium on Volume Visualization. Co-organizer, Eurographics Material Appearance Modeling 2013,2014,2015 ACM Publications Board (2003-2010) (co-chair 2007-2009) Executive Committee Member (elected), European Association for Computer Graphics, 2002-2008. CRA-W Board Member: 2010-present CCC Board Member: 2016-19 IEEE Visualization Technical Awards Committee Chair: 2017-present ACM SIGGRAPH Academy Chair: 2018- present National Science Foundation Presidential Young Investigator, 1990. ACM,Fellow 2016 (Distinguished Engineer, 2006 ) Fellow, Eurographics Association, 2011 ACM SIGGRAPH Computer Graphics Achievement Award 2013 Connecticut Academy of Science and Engineering 2016-present ACM SIGGRAPH Academy 2018 Keynote Speaker: Eurographics Rendering Workshop 1994, Eurographics Conference 2001 and 2012, 3DIM 2001, International Workshop on Volume Graphics 2005, Graphics Interface 2005, ACM VRST 2007, Human Vision and Electronic Imaging 2008, Pacific Graphics 2010, SCCG 2013, CGI 2014, CAA 2015 , VISAPP 2017 Program/Papers committee member for: Volume Visualization 1992, 1996, Eurographics Workshop/Symposium on Rendering 1994-2004, 2008-9,2012-13, Eurographics Symposium on Geometry 2009-13, ACM SIGGRAPH 1995, 1997, 2000, 2001, 2003, 2004, 2006, 2007, 2009, 2010, 2012, 2013, 2017 Eurographics Conference 1996, 1999, 2001-2003, 2008, 2010, 2015 Graphics Interface 1997, 1998, 2002-2004 ASME Design for Manufacturing Conference 1998 IEEE Visualization Conference 1999-2003, 2006, Pacific Graphics 2002, 2010-13,2015-17 Afrigraph 2001,2003, 2004, 2007, 2009 ,Web3D 2003, VAST 2003-4, 2007-8, 2010, GCH 2016-17, WSCG 2004 , 3DPVT 2004, 2008 ACM SIGGRAPH ASIA 2008, 2010-11, 2014-15, ACM APGV 2011, ACM SAP 2012-3,2017 CGI 2010-17, IEEE SMC 2012-3. SIGGRAPH Sketches Jury 1997, 2002, Panel Jury 2002, SIGGRAPH General Jury 2008, SIGGRAPH Asia Sketches and Poster 2008 Technical Reviewer for: The Visual Computer, Computers and Graphics, The Journal of Heat Transfer, AIAA Journal of Thermophysics and Heat Transfer, International Journal of Computer Vision, Illumination Engineering Society of North America Annual Conference, the US National Science Foundation, US DOE, Israel Science Foundation, Italian Ministry for Education University and Research, John Wiley &Sons, Inc., IEEE Transactions on Systems, Man, and Cybernetics, IEEE Transactions on Image Processing and IEEE Transactions on Pattern Analysis and Machine Intelligence. Course Organizer for: SIGGRAPH Courses ``Making Radiosity Practical'', 1993, ``Advanced Topics in Radiosity'', 1994, ``A Basic Guide to Global Illumination'', 1998, " Case Study: Scanning Michelangelo's Florentine Pieta`". 1999. "Modeling Digital Material Appearance", 2006, 2008-9l; Eurographics Course "Modeling Digital Material Appearance" 2008, 2010 Panel Organizer for: IEEE Visualization Panels ``Metrics and Benchmarks for Visualization'' 1995, ``Perceptual Measures for Effective Visualizations'' 1997, SIGGRAPH Panel ``Cultural Heritage and Computer Graphics 2004. Panel Participant for: SIGGRAPH 2000 panel "Understanding the Past", SIGGRAPH 2001 panel "Newton's Nightmare: Reality Meets Faux Physics", Eurographics 2008 Educators panel "What Can We Gain from Transdisciplinary Visualization Courses?" Lecturer for: SIGGRAPH Course ``Radiosity'', 1989-92, SIGGRAPH Course on ``Photorealistic Volume Modeling and Rendering Techniques'', 1991, SIGGRAPH Course on ``Global Illumination'' 1992, SIGGRAPH Course on ``Realistic Input for Realistic Rendering'' 1995, SIGGRAPH Course on "Image-based Surface Details" 2000, SIGGRAPH Course on "Seeing is Believing" 2001, SIGGRAPH Course "Psychometrics 101" 2002, SIGGRAPH Course "Frontiers in Perceptually Based Image Synthesis: Modeling, Rendering, Display, Validation," 2003, 3DIM 2003 Course "Museum and heritage applications of 3D imaging and modeling", SIGGRAPH Course "Digital Modeling of Material Appearance", 2005-06, Eurographics 2008 Course "Advanced Material Models". Students Supervised: David Hall, MS Thesis, Georgia Tech, "An Analysis and Modification of Shao's Radiosity Method for Computer Graphics Image Synthesis", 1990. Johne' Parker, PhD (Co-advised with Kok-Meng Lee, Georgia Tech), "An Analytical and Experimental Investigation of Physically-Accurate Synthetic Images for Machine Vision System Design.", 1996. Chen Xu, PhD, Yale, "Acquiring the Shape and Appearance of Physical Scenes", 2011. Yitzchak David Lockerman, PhD, Yale, "Facilitating the Acquisition of Realistic Material Appearance Models." 2016 Dissertation committee member for: Jeff Nimeroff, UPenn, 1997; Jack Tumbin, Georgia Tech, 1999; Xiaohu Guo, SUNY Stonybrook, 2006; Gang Li, Yale, 2006; Lujin Wang, SUNY Stonybrook, 2007; Oguz Akyuz, University of Central Florida, 2007; Mark Colbert, University of Central Florida, 2008; Fan Wu, WPI, 2008; Jianye Lu, Yale, 2009; Corey Toler-Franklin, Princeton, 2011; Hongzhi Wu, Yale, 2012; Elizabeth Kim, 2013; external examiner for David Martindale, University of British Columbia, 2002; Irene Cheng, University of Alberta, 2005, Chuong Nguyen, Saarland University, 2015. Licensed Professional Engineer, Mechanical (State of Washington), 1983-present. diff --git a/src/data/compiled_bios/1250.txt b/src/data/compiled_bios/1250.txt new file mode 100644 index 0000000000..55c8566333 --- /dev/null +++ b/src/data/compiled_bios/1250.txt @@ -0,0 +1 @@ + Ike Nassi E-Mail Address Please Enable JavaScript inassi@ucsc.edu Please Enable JavaScript inassi@soe.ucsc.edu Title Adjunct Professor, Computer Science and Engineering Founder, Chairman, and CTO, TidalScale Co-Founder and Trustee, Computer History Museum Department Computer Science and Engineering Telephone Number 831-459-1898 (Office) 408-390-8281 (Mobile) 408-458-9932 (TidalScale) Office Location Engineering 2, Room 545A Office Hours By Appointment Biography Technical: DEC: VAX-11, Ada, Bliss, Corporate Research Encore: Multiprocessors architecture, multiprocessor software, DARPA P.I. Apple: SVP of Software organization - including Dev Tools, Operating Systems, Networks, UX, Collaboration, Quality InfoGear: CTO (acquired by Cisco) Firetide: co-Founder, Chairman, CTO SAP: EVP, Chief Scientist TidalScale: Founder, CEO IEEE Computer Society - Industry Advisory Board Computer History Museum - Board of Trustees Anita Borg Institute for Women and Engineering - Former Board member Watermark - Advisory Board member SkyEra - Technical Advisory board Peking University School of Engineering - Advisory Board web: http://www.nassi.com/ike.html Research Areas High performance computing, computer systems architecture, parallel processing, programming languages, computer networks, operating systems, distributed systems, personal computers, history of computing Web Page Ike Nassi's Web Site TidalScale, Inc Computer History Museum Degree Ph.D. in Computer Science, 1974, Stony Brook University MS in Computer Science, 1972, Stony Brook University BS in Mathematics, 1970, Stony Brook University Are you Ike Nassi? If so, you can update your directory information . diff --git a/src/data/compiled_bios/1251.txt b/src/data/compiled_bios/1251.txt new file mode 100644 index 0000000000..9b4bae0a51 --- /dev/null +++ b/src/data/compiled_bios/1251.txt @@ -0,0 +1 @@ + Toggle navigation Faisal Nawab Home Publications C.V. GSDM My research lies at the intersection of Big Data management and distributed Cloud Computing systems. Specifically, I work on data management systems that accelerate and support data science and global connectivity especially in the context of autonomous, mobile applications and the Internet of Things . Research Statement: Data processing is the driver of the sustained growth and impact of Internet services and Big Data analytics. The global nature of users and data invites a Global-Scale Data Management paradigm. In my work, I study and build global-scale systems with a focus on providing high performance and easy-to-use database abstractions. Looking forward, two trends in computing will increase the demand on Global-Scale Data Management drastically and will ignite a transformation of data management systems. The first trend is the emergence of Device-driven systems for autonomous applications, Internet of Things (IoT), and mobile agents (self-driving cars and robotics). The second trend is the emergence of Data-driven applications such as data science and machine learning. My ongoing work explores the opportunities and challenges in supporting the increasing demand of device-driven systems by augmenting data management systems with edge computing technology to increase and diversify resources. Also, I explore domain-specific system designs to support the complexity of emerging data-driven applications. Click here for more about my work on global-scale data management Projects and publications Global-Scale Data Management: The global nature of data and users makes distributing databases and systems a natural step towards a better user experience and higher performance. Additionally, it provides higher levels of fault-tolerance. My work in this area investigate the challenges in building global-scale data management systems. [29] DPaxos: Managing Data Closer to Users for Low Latency and Mobile Applications (SIGMOD 2018) [28] Nomadic Datacenters at the Network Edge: Data Management Challenges for the Cloud with Mobile Infrastructure (EDBT 2018) [27] Global-Scale Placement of Transactional Data Stores (EDBT 2018) [26] A System Infrastructure for Strongly Consistent Transactions on Globally-Replicated Data (IEEE Data Engineering Bulletin 2017) [25] Janus: A Hybrid Scalable Multi-Representation Cloud Datastore (IEEE TKDE 2017) [24] Typhon: Consistency Semantics for Multi-Representation Data Processing (IEEE CLOUD 2017) [23] Multi-Representation Based Data Processing Architecture for IoT Applications (ICDCS 2017) [22] COP: Planning Conflicts for Faster Parallel Transactional Machine Learning (EDBT 2017) [21] The Challenges of Global-scale Data Management (SIGMOD 2016 Tutorial) [pptx] [20] DB-Risk: The Game of Global Database Placement (SIGMOD 2016 Demo) [demo] [19] Minimizing Commit Latency of Transactions in Geo-Replicated Data Stores (SIGMOD 2015) [18] Chariots : A Scalable Shared Log for Data Management in Multi-Datacenter Cloud Environments (EDBT 2015) [17] Mind your Ps and Vs: A perspective on the challenges of big data management and privacy concerns (BigComp 2015) [16] Message Futures: Fast Commitment of Transactions in Multi-datacenter Environments. (CIDR 2013) [15] Low-Latency Multi-Datacenter Databases using Replicated Commits. (VLDB 2013) [14] Managing Geo-replicated Data in Multi-datacenters. (Springer Databases in Networked Information Systems 2013) [13] Serializability, not Serial: Concurrency Control and Availability in Multi-Datacenter Datastores. (VLDB 2012) Data processing on emerging memory technology: In collaboration with HP Labs, I worked on designing data stores for non-volatile memory architectures. I studied the implications of emerging flush-on-fail CPU technology on the durability cost of transactions. Also, as an intern in MSR Redmond I worked on the Time-Split Bw-tree (TSBw-tree) that integrates the algorithms of the Time-split B-tree within the lock-free implementation of the Bwtree. [12] Dali: A Periodically Persistent Hash Map (NVMW 2018) [11] Dali: A Periodically Persistent Hash Map (DISC 2017) [10] High Performance Temporal Indexing on Modern Hardware (ICDE 2015) [9] Procrastination Beats Prevention: Timely Sufficient Persistence for Efficient Crash Resilience (EDBT 2015) [8] Zero-Overhead NVM Crash Resilience. (FAST 2015 WiP Session + Poster session) [7] Zero-Overhead NVM Crash Resilience (NVMW 2015) Fair resource allocation for Wireless Mesh Networks: This project tackles the problem of unfairness in Wireless Mesh Networks, where TCP flows experience different performance characteristics depending on their location in the network. A MAC-layer solution is developed to transparently improve TCP fairness. The proposed MAC layer, called TMAC, uses a timestamp-ordering technique to achieve fairness. [6] Fair Packet Scheduling in Wireless Mesh Networks. (Elsevier Journal of Ad Hoc Networks 2014) [5] MAC-Layer Protocol for TCP Fairness in Wireless Mesh Networks. (ICCC 2012) [4] TMAC: Timestamp-ordered MAC for CSMA/CA Wireless Mesh Networks. (ICCCN 2011) [3] TMAC: Timestamp-Ordered MAC Protocol for Wireless Mesh Networks. (MS Thesis 2011) Other work on large-scale data processing [2] Graph Summarization for Geo-correlated Trends Detection in Social Networks (SIGMOD 2016 Undergraduate Research Poster Competition) [1] MaaT: Effective and scalable coordination of distributed transactions in the cloud. (VLDB 2014) diff --git a/src/data/compiled_bios/1252.txt b/src/data/compiled_bios/1252.txt new file mode 100644 index 0000000000..fd008b4838 --- /dev/null +++ b/src/data/compiled_bios/1252.txt @@ -0,0 +1 @@ + Narges Norouzi E-Mail Address Please Enable JavaScript nanorouz@ucsc.edu Title Teaching Professor, Computer Science and Engineering Department Computer Science and Engineering Telephone Number 831-452-8468 Office Location Engineering 2, 357 Mail Stop SOE3 Research Areas Machine Learning, AI, Deep Learning Biometric Systems Computational Biology Statistical Signal Processing with applications in Image Processing, Pattern Recognition, and Adaptive Systems Web Page Personal Website Google Scholar page Degree Ph.D. in Computer Engineering, 2017, University of Toronto, Canada MS in Computer Engineering, 2014, University of Toronto, Canada BS in Computer Engineering, 2012, Sharif University of Technology, Iran Students Rafael Espericueta (Graduate) Are you Narges Norouzi? If so, you can update your directory information . diff --git a/src/data/compiled_bios/1253.txt b/src/data/compiled_bios/1253.txt new file mode 100644 index 0000000000..be26958016 --- /dev/null +++ b/src/data/compiled_bios/1253.txt @@ -0,0 +1 @@ + Katia Obraczka E-Mail Address Please Enable JavaScript katia@soe.ucsc.edu Title Professor, Computer Science and Engineering Department Computer Science and Engineering Telephone Number 831-459-4308 Office Location Engineering 2, Room 323 Mail Stop SOE3 Biography Katia Obraczka is a Professor at UC Santa Cruz's Jack Baskin School of Engineering. Her research and teaching interests include computer networks, distributed systems, Internet information systems, and operating systems. Research Areas Computer networks, distributed systems, operating systems, Internet information systems, mobile computing, wireless networks Web Page Web: Lab: Staff Mateus Augusto Silva Santos Students Cole Grim (Graduate) Avirudh Kaushik (Alumni) Shesha B Sreenivasmurthy (Graduate) Are you Katia Obraczka? If so, you can update your directory information . diff --git a/src/data/compiled_bios/1254.txt b/src/data/compiled_bios/1254.txt new file mode 100644 index 0000000000..3ae1d12eaa --- /dev/null +++ b/src/data/compiled_bios/1254.txt @@ -0,0 +1 @@ + Uncertainty Visualization Methods and tools for visualizing uncertainty, and comparative visualization techniques and applications. Tensor Visualization Methods for visualizing tensor fields and applications. Flow Visualization Different works related to vector field visualization. Information Visualization and Visual Analytics Visual analytics and information visualization tools, techniques, and applications. Applications in Biology / Bioinformatics Use of audio / visual techniques to present data for similarity measurements in DNA and amino acid sequences, and protein structures. Virtual Reality in Scientific Visualization Applying virtual reality technology to facilitate scientific visualization. Environmental Visualization Some general purpose visualization work that are geared towards visualizing environmental (atmospheric and oceanographic) data sets. Massively Parallel Volume Rendering through the Net Techniques for massively parallel volume rendering on the MasPar MP-2. Animal Modeling and Animation Anatomical and physiological principles applied to model and animate animals and humans. Isosurfaces, D.V.R., Hierarchies, Irregular Grids Isosurface extraction, direct volume rendering, hierarchical data structures, visualization of curvilinear and other irregularly gridded data, visualization of time-varying grids, and interpolation between sample data points. Return to AVIS home page. diff --git a/src/data/compiled_bios/1255.txt b/src/data/compiled_bios/1255.txt new file mode 100644 index 0000000000..4c60746554 --- /dev/null +++ b/src/data/compiled_bios/1255.txt @@ -0,0 +1 @@ + Ira Pohl E-Mail Address Please Enable JavaScript pohl@soe.ucsc.edu Title Professor Emeritus, Computer Science and Engineering Department Computer Science and Engineering Telephone Number 831-459-3648 Office Location Engineering 2, Room 347B Office Hours Tuesday 1-2 Mail Stop SOE3 Biography Ira Pohl is Professor Emeritus of Computer Science. He is a Fellow of the ACM (2000) and a member of AAAI. Research Areas Artificial intelligence, programming languages, heuristic methods, educational and social issues, combinatorial algorithms Selected Publications A Book on C: Kelley and Pohl, Addison Wesley 1998 Heuristic Search:Pearl's Significance from a Personal Perspective, 2010 Bidirectional Search: in Machine Intelligence 6, 1971 Are you Ira Pohl? If so, you can update your directory information . diff --git a/src/data/compiled_bios/1256.txt b/src/data/compiled_bios/1256.txt new file mode 100644 index 0000000000..55eab087fa --- /dev/null +++ b/src/data/compiled_bios/1256.txt @@ -0,0 +1 @@ + Chen Qian Assistant Professor Department of Computer Science and Engineering Jack Baskin School of Engineering University of California Santa Cruz Google Scholar Profile Email: cqian12 AT ucsc Dot edu Office: 231 E2 Phone #: 831-459-5302 What's new 1/2019 Papers accepted to IoTDI and ToN 12/2018 Papers accepted to TMC, IoT Journal 11/2018 Two papers accepted to INFOCOM'19 11/2018 Memory network architecture paper accepted by HPCA 2019 11/2018 SeqOthello accepted by Genome Biology journal (Impact factor: 13.2). 10/2018 One paper accepted by Ubicomp 2019 9/2018 One paper accepted by TMC 6/2018 Hu-Fu () accepted to MobiCom 2018. 6/2018 NSF CAREER Award for Othello Hashing and its applications 5/2018 NetCP accepted to IWQoS 2018. H2Cloud accepted to ICPP 2018. 4/2018 Echoscope accepted to TMC -- verifiable smart packaging 3/2018 Othello Hashing accepted to ToN --only three months after submission. Fastest speed and least memory cost among all network lookup algorithms. 2/2018 One paper accepted to TDSC -- privacy preserving cross domain routing optimization Teaching Fall 2018 , Fall 2017 : CMPE252A: Computer Networks Sping 2018 : CMPE259 Sensor Networks and Internet of Things Winter 2019 , Sping 2017 , : CMPE253 Network Security Winter 2017, W2018 : CMPE150 Introduction To Computer Networks Education I am an Assistant Professor in the Department of Computer Engineering at University of California Santa Cruz. I received the NSF CAREER Award in 2018. I was an assistant professor in the Department of Computer Science at University of Kentucky , and a faculty member of the Laboratory for Advanced Networking during 2013-2016. I received my Ph.D. in Computer Science from University of Texas at Austin in 2013. My advisor was Simon S. Lam , meaning I am a part of the Leonard Kleinrock 's family tree . I am the recipient of the James C. Browne Graduate Fellowship in 2012 ( list of Browne Fellowship awardees for 2001-2012). I interned at AT&T Labs-Research in May-Aug, 2012. I got my M.Phil. from Department of Computer Science and Engineering at Hong Kong University of Science and Technology , where I worked with Prof. Lionel M. Ni (now Provost at University of Macau), and also had close collaboration with Prof. Yunhao Liu (now Dean of School of Engineering, Tsinghua University). I received my Bachelor's degree (highest honor) from Department of Computer Science , Nanjing University in 2006, under the supervision of Prof. Jiafu Xu and Prof. Fangmin Song . I was born in Suzhou, Jiangsu, China. Research Projects Computer networking, Internet of Things, Edge Computing, Cloud, SDN/NFV, Network Security, RFID, Mobile/Pervasive Computing, and Cyber Physical Systems NSF Funded Projects : CNS-1717948 (IoT) , CNS-1750704 (Othello Hashing) Selected Publications: [ full list ] - If you only have time to read two recent papers: [MobiCom'18] [HotWireless'17] Hu-Fu: Towards Replay-resilient RFID Authentication, ACM MobiCom , 2018. [ pdf ] (First reply-resilient solution to battery-free IoT) [ToN] [ICNP'17] [SIGMETRICS'17] Memory-efficient and Ultra-fast Network Lookup and Forwarding using Othello Hashing. [Code of Othello Hashing] [ pdf ] Other selected papers , most in top journals and top computer system/networking conferences with accept rates around 20% (INFOCOM, ICNP, MobiCom, CoNEXT, CCS, SIGMETRICS, ICDCS, NDSS, Ubicomp, PerCom, etc.) [IoTDI'19] VERID: Towards Verifiable IoT Data Management, in Proc. of ACM/IEEE IoTDI, 2019 [ToN] [IoTDI'17] Towards Secure and Efficient Communication for the Internet of Things, in IEEE/ACM Transactions on Networking . also as An IoT Data Communication Framework for Authenticity and Integrity, In Proc of ACM/IEEE IoTDI 2017. [ pdf ] [INFOCOM'19] Collaborative Validation of Public-Key Certificates for IoT by Distributed Caching, in Proc. of IEEE INFOCOM, 2019 [INFOCOM'19] Efficient Indexing Mechanism for Unstructured Data Sharing Systems in Edge Computing, in Proc. of IEEE INFOCOM, 2019 [HPCA'19] String Figure: A Scalable and Elastic Memory Network Architecture, in Proc. of IEEE HPCA, 2019 [Genome Biology] SeqOthello: querying RNA-seq experiments at scale, in Genome Biology , 2018. (Impact factor: 13.2) [ pdf ] [TMC] [Ubicomp'16] [MSCC'15] Echoscope: Verifiable Smart Packaging with Passive RFID [ pdf ] (Best Paper Award of ACM MSCC) [TDSC] [ICNP'15] SDN-based Privacy Preserving Cross Domain Routing [ pdf ] [ToN] Minimizing Controller Response Time Through Flow Redirecting in SDNs, in IEEE/ACM Transactions on Networking . [INFOCOM'18] Trio: Utilizing Tag Interference for Refined Localization of Passive RFID. [ToN] [INFOCOM'17] Minimizing Flow Statistics Collection Cost Using Wildcard-based Requests in SDNs, in IEEE/ACM Transactions on Networking . [ pdf ] [MECOMM'17] SDLB: A Scalable and Dynamic Software Load Balancer for Fog and Mobile Edge Computing, in Proc of ACM SIGCOMM 2017 Workshop on Mobile Edge Communications ( MECOMM ), 2017. [ pdf ] [Bioinformatics] A Novel Data Structure to Support Ultra-fast Taxonomic Classification of Metagenomic Sequences with k-mer Signatures, in Bioinformatics , 2017 [ pdf ] [ToN] [CoNEXT'15] Practical Network-wide Packet Behavior Identification by AP Classifier, in IEEE/ACM Transactions on Networking . [ pdf ] [CCS'16] Instant and Robust Authentication and Key Agreement among Mobile Devices, in Proc of ACM CCS 2016. Acceptance Rate: 16 %. [ pdf ] [ToN] [ICNP'16] Joint Route Selection and Update Scheduling for Low-Latency Update in SDNs. [ pdf ] (Best paper finalist, fast track to ToN) [TPDS][ICNP'14] Space Shuffle: A Scalable, Flexible, and High-Bandwidth Data Center Network. [ pdf ] [TMC] [SECON'17] HMRL: Relative Localization of RFID Tags with Static Devices , In Proc of IEEE SECON , 2017, and IEEE Transactions on Mobile Computing . [ pdf ] [ICDCS'17] Pronto: Efficient Test Packet Generation for Dynamic Network Data Planes, In Proc of IEEE ICDCS 2017, Acceptance Rate: 16.9 %. [ pdf ] [ICDCS'17] RFIPad: Enabling Cost-efficient and Device-free In-air Handwriting using Passive Tags, In Proc of IEEE ICDCS 2017, Acceptance Rate: 16.9 %. [ pdf ] [NDSS'17] FBS-Radar: Uncovering Fake Base Stations at Scale in the Wild. In Proc of ISOC NDSS 2017, Acceptance Rate: 16 %. [ pdf ] [Ubicomp'16] [TMC] Device-free Detection of Approach and Departure Behaviors using Backscatter Communication, in Proc of ACM Ubicomp 2016. Acceptance Rate: 23 %. [ pdf ] [ICDCS'16] An NFV Orchestration Framework for Interference-free Policy Enforcement, in Proc of IEEE ICDCS 2016. Acceptance Rate: 17 %. [ pdf ] [AsiaCCS'16] Building an Encrypted, Distributed, and Searchable Key-value Store, in Proc of ACM Asia CCS 2016. Acceptance Rate: 20.9%. [ pdf ] [INFOCOM'16] VADS: Visual Attention Detection with a Smartphone, in Proc of IEEE INFOCOM 2016. Acceptance Rate: 18 %. [ pdf ] [ToN][ICNP'14] CBID: A Customer Behavior Identification System Using Passive Tags [ PDF ] [COMCOM] Providing Explicit Congestion Control and Multi-Homing Support for Content-Centric Networking Transport, accepted by Elsevier Computer Communications . (Fast track from ICCCN'14) [ pdf ] [ICNP'15] EMoD: Efficient Motion Detection of Device-free Objects Using Passive RFID Tags, in Proc of IEEE ICNP , 2015. Acceptance Rate: 20.3%. [ pdf ] [ToN] [ICDCS'11] Greedy Routing by Network Distance Embedding, [ pdf ] [IWQoS'15] Traffic and Failure Aware VM Placement for Multi-tenant Cloud Computing, in Proc of IEEE/ACM IWQoS 2015. Acceptance Rate: 22.5%. [ pdf ] [ToN][INFOCOM'14] Twins: Device-free Object Tracking using Passive Tags [ pdf ] [ToN] [ICNP'13] GenePrint: Generic and Accurate Physical-Layer Identification for UHF RFID Tags [ pdf ] [ToN] A Scalable and Resilient Layer-2 Network with Ethernet Compatibility, IEEE /ACM Transactions on Networking (ToN) 2016 [ pdf ] [INFOCOM'15] Low-Complexity Multi-Resource Packet Scheduling for Network Functions Virtualization, in Proc of IEEE INFOCOM 2015. Acceptance Rate: 19%. [ pdf ] [ComNet] [ANCS'14] DiFS: Distributed Flow Scheduling for Adaptive Routing in Hierarchical Data Center Networks, [ pdf ] [HotSDN'14] Distributed Collaborative Monitoring in Software Defined Networks, in Proc of ACM SIGCOMM HotSDN , 2014. Accept rate: 28.9% [ PDF ] [ICNP'12] ROME: Routing On Metropolitan-scale Ethernet in Proc of IEEE ICNP , 2012. Acceptance Rate: 22.9% [ PDF ] [SIGMETRICS'11] [ToN] [ICNP'12 Keynote Speech] Geographic Routing in d-dimensional Spaces with Guaranteed Delivery and Low Stretch, in Proc of ACM SIGMETRICS , 2011. Acceptance Rate: 14.7% , extended version in IEEE /ACM Transactions on Networking (ToN) [ PDF ] Simon Lam's keynote speach at IEEE ICNP 2012 about Multi-hop DT Routing [ PPT ]. [ICDCS'10] ASAP: Scalable Arbitration for Contactless RFID Systems in Proc of IEEE ICDCS , 2010. Acceptance Rate: 14.3%. [ PDF ] [TPDS] Longer version in IEEE Transactions on Parallel and Distributed Systems (TPDS). [PerCom'08] Cardinality Estimation for Large-scale RFID Systems in Proc of IEEE IEEE PerCom , 2008 . Acceptance Rate: 11.9%. [ PDF ] [TPDS] Longer version in IEEE Transactions on Parallel and Distributed Systems (TPDS), Sep. 2011. ( Spotlight Paper of TPDS ) Students: Huazhe Wang (PhD 2014-) BS BJTU, MS BUPT, Verizon Fellowship, UCSC Dissertation Year Fellowship. Interned with HP Labs Ge Wang (PhD 2014-) co-advised with Jinsong Han@XJTU, through CSC program Minmei Wang (PhD 2017-) BS NUPT, MS Nanjing Univ Haofan Cai (PhD 2017-) BS SUSTech, UCSC Chancellor's Fellowship Shouqian Shi (PhD 2017-) BS USTC, MS Chinese Academy of Sciences Xiaofeng Shi (PhD 2018-) BS Nanjing Univ, MS Nanjing Univ, UCSC Chancellor's Fellowship Minghao Xie (PhD 2018-) BS Sichuan Univ. Co-advised with Heiner Litz. Undergraduate researchers: Current: Bradley Pucket, Alexandra Sun, Alex Smirnov Fomer students with my supervision: Xin Li (PhD 2013-2018) UCSC Dissertation Year Fellowship. Now with VMWare. Ye Yu (PhD 2013-2018) Best PhD student Award at UKY. Now with Google. Yu Zhao (PhD@UKY 2016-) BS Jilin Univ, now mainly advised by Tingting Yu due to my leave from UK. Sanjay Krishna Gouda, (MS 2018), now with BBN Technologies. Naishil Shah (MSc 2018) now at Cisco. Jonathon Steelsmith (BSc 2018), Vincent Kim (BSc 2018). Sean Gordon (BSc 2018), Masaya Takahashi (BSc 2018), Jose Sepulveda (BSc 2018). Yueqi Chen (BSc 2017), now PhD student at Penn State. Wenzhi Cui (2013-2015), then PhD student at UT Austin, Now with Google diff --git a/src/data/compiled_bios/1257.txt b/src/data/compiled_bios/1257.txt new file mode 100644 index 0000000000..be8fc3ee0a --- /dev/null +++ b/src/data/compiled_bios/1257.txt @@ -0,0 +1 @@ + Jose Renau E-Mail Address Please Enable JavaScript renau@soe.ucsc.edu Title Professor, Computer Science and Engineering Department Computer Science and Engineering Telephone Number 831-459-1847 Office Location Engineering 2, Room 227 Office Hours Monday, 3:30PM to 4:30PM Mail Stop SOE3 Biography Jose Renau (http://www.soe.ucsc.edu/~renau) is a professor of computer engineering at the University of California, Santa Cruz. His research focuses on computer architecture, including design effort metrics and models, infrared thermal measurements, low-power and thermal-aware designs, process variability, thread level speculation, FPGA/ASIC design, Fluid Pipelines, Pyrope a modern hardware description language, and Live flows improve the productivity of hardware designs. Renau has a PhD in Computer Science from the University of Illinois at Urbana-Champaign. Research Areas Computer architecture, including design effort metrics and models, infrared thermal measurements and modeling, simulation, FPGA/ASIC design, mobile computing Web Page homepage MASC website Degree Ph.D in Computer Science, 2004, UIUC Students Hunter James Coffman (Undergraduate) Elnaz Ebrahimi (Graduate) Rohan Prakash Ganpati (Graduate) Sina Hassani (Alumni) Ramesh Krishna Jayaraman (Graduate) Rohan Jayant Jobanputra (Graduate) Garvit Rajendra Mantri (Alumni) Ethan Papp (Alumni) Zachary Phillip Potter (Graduate) YUXUN QIU (Alumni) Marcelo Siero (Graduate) Akash Sridhar (Graduate) Wang, Sheng Hong (Graduate) Alumni Garvit Rajendra Mantri (Alumni) Ethan Papp (Alumni) Manikandan Punniyakotti (Alumni) YUXUN QIU (Alumni) Are you Jose Renau? If so, you can update your directory information . diff --git a/src/data/compiled_bios/1258.txt b/src/data/compiled_bios/1258.txt new file mode 100644 index 0000000000..53c12a03c2 --- /dev/null +++ b/src/data/compiled_bios/1258.txt @@ -0,0 +1 @@ + Martine Schlag E-Mail Address Please Enable JavaScript martine@soe.ucsc.edu Title Professor, Computer Science and Engineering Chair, Computer Science and Engineering Department Computer Science and Engineering Telephone Number 831-459-3243 Office Location Engineering 2, Room 219 Office Hours Wed and Th 3-4pm; Spring 19: to be determined Mail Stop SOE3 Web Page real homepage Degree Ph.D. Computer Science 1986, UCLA M.S. Computer Science 1982, UCLA B.A. Mathematics 1978, UCLA (Go Bruins and Slugs!) Staff Dana Pierce Are you Martine Schlag? If so, you can update your directory information . diff --git a/src/data/compiled_bios/1259.txt b/src/data/compiled_bios/1259.txt new file mode 100644 index 0000000000..88a4c84a2a --- /dev/null +++ b/src/data/compiled_bios/1259.txt @@ -0,0 +1 @@ + Thomas Schwarz E-Mail Address Please Enable JavaScript tschwarz@soe.ucsc.edu Title Adjunct Professor, Computer Science and Engineering Department Computer Science and Engineering Mail Stop SOE3 Research Areas Reliability and security in storage systems Are you Thomas Schwarz? If so, you can update your directory information . diff --git a/src/data/compiled_bios/126.txt b/src/data/compiled_bios/126.txt new file mode 100644 index 0000000000..10175b6ffa --- /dev/null +++ b/src/data/compiled_bios/126.txt @@ -0,0 +1 @@ + Bio FAQ Social Robotics Lab @ Yale NSF Expedition on Socially Assistive Robotics Professor Computer Science, Cognitive Science, and Mechanical Engineering Director, NSF Expedition on Socially Assistive Robotics Yale University 51 Prospect Street New Haven, CT 06520-8285 phone: (203) 432-1219 fax: (203) 432-0593 diff --git a/src/data/compiled_bios/1260.txt b/src/data/compiled_bios/1260.txt new file mode 100644 index 0000000000..222893cb3a --- /dev/null +++ b/src/data/compiled_bios/1260.txt @@ -0,0 +1 @@ + Brad Smith E-Mail Address Please Enable JavaScript brad@soe.ucsc.edu Title Adjunct Associate Professor, Computer Science and Engineering Department Computer Science and Engineering Telephone Number 831-459-2370 Office Location Engineering 2, Room 595K Mail Stop SOE3 Research Areas Network routing, policy-based routing, multi-path routing, networking for big data and genomics Web Page My home page. Network Management and Operations (NMO) Lab Staff Cynthia McCarley Students Lincoln Thurlow (Alumni) Alumni Lincoln Thurlow (Alumni) Are you Brad Smith? If so, you can update your directory information . diff --git a/src/data/compiled_bios/1261.txt b/src/data/compiled_bios/1261.txt new file mode 100644 index 0000000000..4adc45de54 --- /dev/null +++ b/src/data/compiled_bios/1261.txt @@ -0,0 +1 @@ + Neel Sundaresan E-Mail Address Please Enable JavaScript nsundare@gmail.com Please Enable JavaScript nesundar@ucsc.edu Title Adjunct Professor, Computer Science and Engineering Department Computer Science and Engineering Mail Stop SOE3 Research Areas Big data science, machine learning, e-commerce, search science, recommender system, internet economics and monetization, internet of things, programming languages, parallel computing, reputation systems, human computing Web Page On LinkedIn DBLP NBER Selected Publications Assessing Sales Strategies in Online Markets Using Matched Listings. Sales Tax and Internet Commerce Cross Border Trade and SMEs: Large Scale Online Experiment Growth, Adoption and Use of Mobile E-Commerce Reputation and Regulations: Evidence from eBay Degree Ph.D. Computer Science, Indiana University, Bloomington Computer Science and Engineering + Mathematics , IIT Mumbai Are you Neel Sundaresan? If so, you can update your directory information . diff --git a/src/data/compiled_bios/1262.txt b/src/data/compiled_bios/1262.txt new file mode 100644 index 0000000000..0ab6a5eda7 --- /dev/null +++ b/src/data/compiled_bios/1262.txt @@ -0,0 +1 @@ + Patrick Tantalo Lecturer in Computer Science Jack Baskin School of Engineering University of California Santa Cruz Office: Engineering 2 255 Email: ptantalo@soe.ucsc.edu Office Hours for Winter 2019: TTH 4:30-6:30pm, W 10:00-12:00pm, or by appointment Currently Teaching in Fall 2018: CMPS 12B Introduction to Data Structures CMPS 201 Analysis of Algorithms Recent Courses: Fall 2018: CMPS 101 Algorithms and Abstract Data Types CMPS 201 Analysis of Algorithms Summer 2018: CMPE 16 Applied Discrete Mathematics CMPS 101 Algorithms and Abstract Data Types CMPS 12B Introduction to Data Structures Spring 2018: CMPS 12A Introduction to Programming (Accelerated) CMPS 101 Algorithms and Abstract Data Types Winter 2018: CMPS 12A Introduction to Programming (Accelerated) CMPS 12B Introduction to Data Structures Fall 2017: CMPS 101 Algorithms and Abstract Data Types CMPS 201 Analysis of Algorithms Summer 2017: CMPE 16 Applied Discrete Mathematics CMPS 101 Algorithms and Abstract Data Types CMPS 12B Introduction to Data Structures Spring 2017: CMPS 11 Intermediate Programming CMPS 5P Introduction to Programming in Python Winter 2017: CMPS 12A Introduction to Programming (Accelerated) CMPS 101 Algorithms and Abstract Data Types Fall 2016: CMPS 101 Algorithms and Abstract Data Types CMPS 201 Analysis of Algorithms Summer 2016 CMPE 16 Applied Discrete Mathematics CMPS 101 Algorithms and Abstract Data Types CMPS 12B Introduction to Data Structures Spring 2016: CMPS 12B Introduction to Data Structures CMPS 130 Computational Models Winter 2016: CMPS 11 Intermediate Programming CMPS 12A Introduction to Programming (Accelerated) Fall 2015: CMPS 5J Introduction to Programming in Java CMPS 12A Introduction to Programming (Accelerated) Summer 2015: CMPE 16 Applied Discrete Mathematics CMPS 101 Algorithms and Abstract Data Types CMPS 12B Introduction to Data Structures Spring 2015: CMPS 11 Intermediate Programming CMPS 12B Introduction to Data Structures Winter 2015: CMPS 11 Intermediate Programming CMPS 101 Algorithms and Abstract Data Types Fall 2014: CMPS 5J Introduction to Programming in Java CMPS 101 Algorithms and Abstract Data Types Summer 2014: CMPE 16 Applied Discrete Mathematics CMPS 101 Algorithms and Abstract Data Types CMPS 12B Introduction to Data Structures Spring 2014: CMPS 10 Introduction to Computer Science CMPS 12A Introduction to Programming (Accelerated) Winter 2014: CMPS 11 Intermediate Programming CMPS 101 Algorithms and Abstract Data Types Fall 2013: CMPS 5J Introduction to Programming in Java CMPS 130 Computational Models Summer 2013: CMPE 16 Applied Discrete Mathematics CMPS 101 Algorithms and Abstract Data Types CMPS 12B Introduction to Data Structures Spring 2013: CMPS 5P Introduction to Programming in Python CMPS 10 Introduction to Computer Science Winter 2013: CMPS 12A Introduction to Programming (Accelerated) Fall 2012: CMPS 101 Algorithms and Abstract Data Types CMPS 5J Introduction to Programming in Java Summer 2012: CMPE 16 Applied Discrete Mathematics CMPS 101 Algorithms and Abstract Data Types CMPS 12B Introduction to Data Structures Fall 2011: CMPS 10 Introduction to Computer Science CMPS 101 Algorithms and Abstract Data Types Summer 2011: CMPS 101 Algorithms and Abstract Data Types Winter 2011: CMPS 12B/M Introduction to Data Structures CMPS 109 Advanced Programming Fall 2010: CMPS 10 Introduction to Computer Science CMPS 101 Algorithms and Abstract Data Types Summer 2010: CMPS 16 Applied Discrete Mathematics CMPS 101 Algorithms and Abstract Data Types Spring 2010: CMPS 201 Analysis of Algorithms CMPS 12A/L Introduction to Programming Fall 2009: CMPS 10 Introduction to Computer Science CMPS 101 Algorithms and Abstract Data Types Summer 2009: CMPE 177 Applied Graph Theory and Algorithms CMPE 16 Applied Discrete Mathematics CMPS 101 Algorithms and Abstract Data Types Spring 2009: CMPS 101 Algorithms and Abstract Data Types Math 22 Introduction to Calculus of Several Variables Winter 2009: CMPS 101 Algorithms and Abstract Data Types CMPS 12B/M Introduction to Data Structures Fall 2008: CMPS 10 Introduction to Computer Science Math 11B Calculus with Applications Summer 2008: CMPE 16 Applied Discrete Mathematics CMPS 101 Algorithms and Abstract Data Types Spring 2008: CMPS 101 Algorithms and Abstract Data Types Winter 2008: CMPS 12A/L Introduction to Programming CMPS 10 Introduction to Computer Science Fall 2007: CMPS 101 Algorithms and Abstract Data Types CMPS 10 Introduction to Computer Science Math 11B Calculus with Applications Summer 2007: CMPE 16 Applied Discrete Mathematics CMPS 101 Algorithms and Abstract Data Types CMPS 201 Analysis of Algorithms Spring 2007: CMPS 12A/L Introduction to Programming CMPS 201 Analysis of Algorithms Winter 2007: CMPS 10 Introduction to Computer Science Math 21 Linear Algebra Fall 2006: CMPS 10 Introduction to Computer Science CMPS 101 Algorithms and Abstract Data Types Summer 2006: CMPE 16 Applied Discrete Mathematics CMPS 101 Algorithms and Abstract Data Types Spring 2006: CMPS 101 Algorithms and Abstract Data Types MATH 23B Multivariable Calculus Winter 2006: CMPS 101 Algorithms and Abstract Data Types CMPS 10 Introduction to Computer Science If you find any errors, please report them to: ptantalo@soe.ucsc.edu diff --git a/src/data/compiled_bios/1263.txt b/src/data/compiled_bios/1263.txt new file mode 100644 index 0000000000..528d529a93 --- /dev/null +++ b/src/data/compiled_bios/1263.txt @@ -0,0 +1 @@ + University of California at Santa Cruz Faculty avg @ cs.ucsc.edu Office: E2-355 (831)459-4611 ALLEN VAN GELDER Professor of Computer Science Education: B.S., Mathematics, Massachusetts Institute of Technology Ph.D., Computer Science, Stanford University Allen Van Gelder's research interests include development of algorithms for propositional satisfiability and quantified boolean formulas, methods for verifiable software, theorem proving, analysis of algorithms, parallel algorithms, computer graphics, and scientific visualization. He received a National Science Foundation Presidential Young Investigator Award in 1989 to investigate the use of logic programming for problems in database and artificial intelligence systems. Office Hours, Fall 2017: Mon 1:15-2:15, Wed 1:15-2:15, plus drop-in or appt. CMPS 102 Fall 2017 web page Introduction to Analysis of Algorithms CMPS 101-01 Spring 2017 web page Algorithms and Abstract Data Types CMPS 132/W Winter 2017 web page Computational Complexity and Computability CMPS 101-02 Fall 2016 web page Algorithms and Abstract Data Types Send email if you need to see: CMPS 101-02 Fall 2015 web page Algorithms and Abstract Data Types Send email if you need to see: CMPS 101 Spring 2015 web page Algorithms and Abstract Data Types CMPS 211 Winter 2015 web page Combinatorial Algorithms CMPS 130 Fall 2014 web page Computational Models CMPS 132 Spring 2014 web page Computational Complexity and Computability CMPS 217 Winter 2014 web page Logic for Computer Science Send email if you need to see: CMPS 101 Fall 2013 web page Algorithms and Abstract Data Types Global Warming and Extreme Weather , A Quick Tutorial Papers by Allen Van Gelder Papers by Title Review-Period Papers by Title by Allen Van Gelder indexPapersPdf.html by Allen Van Gelder Various software (ftp) ColorSat misc files related to graph coloring with SAT CarefulRanking documentation and code related to SAT 2011 paper. ProofChecker documentation and code WildBenches2009 has 20 benchmarks from the Application section of the SAT 2009 competition, phase 2. The reason these are called wild is that their behavior seems to be rather unpredicatable. It might be that solver A solves instance 1 in a minute or so while solver B times out at 5 hours, and at the same time, solver B solves instance 2 in a minute or so while solver A times out at 5 hours. In some cases, slightly jiggling an instance or a parameter of the solver changes the time by a large factor. I am talking about good solvers that did well in this competition and/or earlier competitions. The selection is heuristic, not scientific. My intention is to have a set of benchmarks that a researcher can conceivably solve completely without ANY timeouts. Some instances are SAT, some are UNSAT. Also see the main web page http://www.satcompetition.org . purse-poster.pdf SAT 2005 and 2007 Competition Scoring Rules purse-poster.ps and some 2005 results JSAT System Description Papers Call (unofficial) Proposal and Motivation Allen Van Gelder and Daniel LeBerre CMPS201, Analysis of Algorithms, Fall 2009: Fall 2009 web page 1ST CALL FOR WORKSHOPS, COMPETITIONS, AND TUTORIALS Sixteenth International Conference on THEORY AND APPLICATIONS OF SATISFIABILITY TESTING --- SAT 2013 Also see the main web page http://sat2013.cs.helsinki.fi/ . sat2013-prefilled-lncs-copyright.pdf Keywords for IJCAI 2013 as ASCII text file IJCAI 2013 conference page CMPS 201 Fall 2012 web page Analysis of Algorithms Information on Winter 2013 CMPS 132 Robots meta tag and robots.txt According to https://support.google.com/webmasters/answer/6062596?hl=en&ref_topic=6061961 robots.txt must be at the root of the website host. We do not have privileges for that directory, so we should use meta tags on school computer systems to avoid search engines. See https://developers.google.com/search/reference/robots_meta_tag I think one puts the following in index.html in the "head" section to ask robots not to search the directory in which index.html resides. So do not put it in your primary web directory (PUBLIC_HTML usually). If you tell certain people the name of the directory, they will be able to visit it by typing it after the name of your public web directory. As an experiment I made a "secret" directory named DoUSeeMeDir with one file in it besides index.html, named doUSeeMeFile.txt. You should be able to visit DoUSeeMeDir and view doUSeeMeFile.txt, but I hope the search engines do not show either. c-adt.ps c-adt.pdf For information about Computer Algorithms, Third Edition by Sara Baase and myself, please click here to see Supplements (including errata, clarifications, sample code, javaToC hints) or shift-click to download Supplements.tar (about 320 KB) or visit these links to other servers, and use the Back button on your browser if you want to return to this page. Prof. Baase's web site: http://www-rohan.sdsu.edu/faculty/baase AWL Publisher's information ISBN-13: 97802016124481612448 OBSOLETE Publisher's information Prof. Ben Choi's web site at Louisiana Tech University for PowerPoint slides to accompany the text. He offered to make them available to other instructors. http://www2.latech.edu/~choi/Bens/Teaching/Csc520/ Please click here to see TPTPparser (lex/yacc sources, linux/intel binary, sample input, README, tarball) Please click here to see http://jsat.ewi.tudelft.nl (Journal of Satisfiability home page) Information on dbx for C programs on Solaris machines student-dbx-guide Text file, basics of using dbx. See CASE 3 for why to use cc/dbx rather than gcc/gdb. student.dbxrc Sample dbx startup file, text for Solaris, hopefully self-explanatory. Please click here to see Poster directory with some examples of using latex to make a poster. Please click here to see CRA Best Practices Memo on Tenure Review (1999) My Erds number is 3 , e.g. through the path AVG - Jeff Ullman - Ron Graham - PE . Also, my Erds number of the second kind (where only two-authored papers count) is (at most) 7 , through the path AVG - Jeff Ullman - John Hopcroft - Robert Tarjan - Andrew Yao - Nick Pippenger - Joel Spencer - PE . Thanks to Jan Johannsen for publicizing how to figure this out. Don't miss other interesting stuff on his home page, such as the Proof Complexity Theme Song. SAT 2013 Sixteenth International Conference on THEORY AND APPLICATIONS OF SATISFIABILITY TESTING --- SAT 2013 --- Helsinki, Finland, July 8-12, 2013 Conference Web Page: http://sat2013.cs.helsinki.fi/ What Happened on Mars? Visit this page of Raj Rajkumar to find out: http://users.ece.cmu.edu/~raj/mars.html Read the story of how a priority inversion problem in the onboard software of the Mars Pathfinder was diagnosed and solved while Pathfinder was on Mars. Personality_rights.txt diff --git a/src/data/compiled_bios/1264.txt b/src/data/compiled_bios/1264.txt new file mode 100644 index 0000000000..beeb7e5265 --- /dev/null +++ b/src/data/compiled_bios/1264.txt @@ -0,0 +1 @@ + Anujan Varma E-Mail Address Please Enable JavaScript varma@soe.ucsc.edu Title Professor, Computer Science and Engineering Department Computer Science and Engineering Telephone Number 831-459-3505 Office Location Engineering 2, Room 221 Mail Stop SOE3 Research Areas Computer networking, computer architecture, optical networks Are you Anujan Varma? If so, you can update your directory information . diff --git a/src/data/compiled_bios/1265.txt b/src/data/compiled_bios/1265.txt new file mode 100644 index 0000000000..5303cc4000 --- /dev/null +++ b/src/data/compiled_bios/1265.txt @@ -0,0 +1 @@ + Marilyn Walker E-Mail Address Please Enable JavaScript mawalker@ucsc.edu Please Enable JavaScript maw@soe.ucsc.edu Title Professor, Computer Science and Engineering Department Computer Science and Engineering Telephone Number 831-459-1058 (email is better to reach me) Office Location Engineering 2, Room 267 Office Hours Thursday 3:30-4:30 PM. Mail Stop SOE3 Biography Marilyn Walker, is a Professor of Computer Science at UC Santa Cruz, and a fellow of the Association for Computational Linguistics (ACL), in recognition of her for fundamental contributions to statistical methods for dialog optimization, to centering theory, and to expressive generation for dialog. Her current research includes work on computational models of dialogue interaction and conversational agents, analysis of affect, sarcasm and other social phenomena in social media dialogue, acquiring causal knowledge from text, conversational summarization, interactive story and narrative generation, and statistical methods for training the dialogue manager and the language generation engine for dialogue systems. Before coming to Santa Cruz in 2009, Walker was a professor of computer science at the University of Sheffield. From 1996 to 2003, she was a principal member of the research staff at AT&T Bell Labs and AT&T Research, where she worked on the AT&T Communicator project, developing a new architecture for spoken dialogue systems and statistical methods for dialogue management and generation. Walker has published more than 200 papers and has 10 U.S. patents granted or pending. She earned a B.A. in computer and information science at UC Santa Cruz, M.S. in computer science at Stanford University, and M.A. in linguistics and Ph.D. in computer science at the University of Pennsylvania. Research Areas Conversational agents, social media analytics, computational models of dialogue, interactive story and narrative generation, acquiring causal knowledge from blogs, natural language processing Web Page Marilyn Walker's Web Page and Online CV Natural Language and Dialogue Systems Lab Selected Publications Controlling User Perceptions of Linguistic Style: Trainable Generation of Personality Traits. Franois Mairesse and Marilyn Walker. Computational Linguistics, 2011. An Application of Reinforcement Learning to Dialogue Strategy Selection in a Spoken Dialogue System for Email. Marilyn Walker. Journal of Artificial Intelligence Research, JAIR, Vol 12., pp. 387-416, 2000. Towards Personality-Based User Adaptation: Psychologically Informed Stylistic Language Generation. Franois Mairesse and Marilyn Walker. User Modeling and User-Adapted Interaction, 20:3, pages 227-278, 2010. An Unsupervised Method for Learning Generation Dictionaries for Spoken Dialogue Systems by Mining User Reviews. Ryuichiro Higashinaka, Marilyn Walker and Rashmi Prasad. Journal of ACM Transactions on Speech and Language Processing, 2007. Learning Content Selection Rules for Generating Object Descriptions in Dialogue. Pam Jordan and Marilyn Walker. In Journal of Artificial Intelligence Research, Vol 24, pp. 157-194, 2005. Degree Ph.D. Computer and Information Science, 1993 University of Pennsylvania. M.S. Computer Science, 1987, Stanford University B.A. Computer and Information Science, University of California Santa Cruz BSOE Graduation Year 1984 BSOE Degree B.A. Computer Science BSOE Post-Graduation Placement Hewlett Packard Laboratories, Palo Alto Students Vrindavan Harrison (Graduate) Alumni Namrata Pratap Simha (Alumni) Are you Marilyn Walker? If so, you can update your directory information . diff --git a/src/data/compiled_bios/1266.txt b/src/data/compiled_bios/1266.txt new file mode 100644 index 0000000000..3d1572fdc1 --- /dev/null +++ b/src/data/compiled_bios/1266.txt @@ -0,0 +1 @@ + Prof. Emeritus Manfred K. Warmuth Computer Science, UC Santa Cruz Last ten or so pubs All pubs Other Interests Coordinates Visiting Google Brain in Zuerich Switzerland from Jan.-June 2019 diff --git a/src/data/compiled_bios/1267.txt b/src/data/compiled_bios/1267.txt new file mode 100644 index 0000000000..127e63e889 --- /dev/null +++ b/src/data/compiled_bios/1267.txt @@ -0,0 +1 @@ + Linda Werner E-Mail Address Please Enable JavaScript linda@soe.ucsc.edu Please Enable JavaScript llwerner@ucsc.edu Title Adjunct Professor, Computer Science and Engineering Department Computer Science and Engineering Telephone Number 831-459-1017 831-535-3019 Office Location Engineering 2, Room 249 Office Hours Tuesday 2-3pm, Thursday 1-2pm, and by appointment Mail Stop SOE3 Biography Linda Werner has a Ph.D. in Computer Science and has extensive experience as an educator and researcher at the University of California, Santa Cruz, community college, high school, and junior high levels. She is actively involved in working to increase the numbers of female computer science students. Dr. Werner was the PI on an NSF-funded project on the retention of female students in computer science. She has been invited to share her research on pair programming and computer fluency at the university and middle school levels at international conferences, as well as NSF and ACM JETT/TECS sponsored workshops. In addition, she has many years of experience as a software engineer. She has consulted on an NSF GSE grant with PI, Dr. Jill Denner, to design, implement and conduct research on game design as a strategy for increasing girls interest, skills, and confidence in technology, for which she was active with interpretation and dissemination of results. She was also the co-PI on a one-year NSF/REESE study of computer game design and computational thinking, and received a 3-year grant from REESE that extended this work. She was a co-PI on a two-year NSF/GSE grant to study computer science students in community colleges looking at the role of motivation, family support and prior computer use (particularly digital gaming). Dr. Werner's research areas include: software engineering, computer science education, children and computer game creation, testing, increasing diversity in the computer science field, and social issues. Dr. Werner is affiliated with the Center for Games and Playable Media and with the Center for Information Technology Research in the Interest of Society. Research Areas Software engineering, computer science education, children and computer game creation, testing, diversity in computer science, social issues Web Page home page recent publications cyberlearning video coding Degree Ph.D. in Computer Science, 1988, UC San Diego M.S. in Computer Science, 1983, UC San Diego B.A. in Mathematics, 1973, Clark University Are you Linda Werner? If so, you can update your directory information . diff --git a/src/data/compiled_bios/1268.txt b/src/data/compiled_bios/1268.txt new file mode 100644 index 0000000000..3ee7152e30 --- /dev/null +++ b/src/data/compiled_bios/1268.txt @@ -0,0 +1 @@ + Alexander Wolf E-Mail Address Please Enable JavaScript alw@ucsc.edu Title Dean of the Baskin School of Engineering Distinguished Professor of Computer Science and Engineering Department Computer Science and Engineering Telephone Number 831-459-4877 Office Location Baskin Engineering 335 Mail Stop ENGR Research Areas Engineering of large and/or complex software systems: experimental computer science; distributed systems and networks (publish/subscribe communication, information-centric and content-based networking, cloud data-center computing); software engineering (software architecture, configuration management, self-managed systems, software process, tools and environments) Web Page Personal home page Follow me on Twitter Staff Hart Hancock Frank P. Howley, Jr. Abigail Kaun, Ph.D. Maureen McLean Roger Trippel Are you Alexander Wolf? If so, you can update your directory information . diff --git a/src/data/compiled_bios/1269.txt b/src/data/compiled_bios/1269.txt new file mode 100644 index 0000000000..cc3aa70ef6 --- /dev/null +++ b/src/data/compiled_bios/1269.txt @@ -0,0 +1 @@ + Home Research Publications Teaching Contact IRKM Lab Bio CV Afflications : Technology and Information Management Program (primary), Computer Science Department, Economics Department, Applied Math and Statistics Deparment Ph.D. and M.S., Language Technologies Institute, School of Computer Science, Carnegie Mellon University B.S. , Computer Science and Technologies Department, Tsinghua University Research Interests : information retrieval, knowledge management, natural language processing, data mining and applied machine learning A description of my research for the general public: Getting to know you Social Marketing and Advertising: the Four Is News : Demo Goodbuylist : see your friends good buy lists and buy safely. Demo kideroo.net : help parents tracking bully activities around the child Demo Fmvilla.com : listen to music together with your friends Demo bookWave ebooks with multimedia multilingual word annotation for vocabulary learning National Science Foundation Award: Economics Analysis of Recommender Systems National Science Foundation Award: Detecting and Tracking Cyber Bullying on the Social Web National Science Foundation CAREER Award: Future of Search: Personalization, Social Networks and Language US Department of Education Grant: Explicit Scaffolding for Word Learning in Context through Multimedia Multilingual Word Annotation Air Force Research Young Investigator Research Award : Adaptive Information Filtering National Science Foundation Award: Proactive Personalized Information Integration and Retrieval Recent Professional Activities: I am organizing the Big Data & Intelligent System Track at FIST 2012 Shanghai Knowledge Management Workshop at University of California Santa Cruz, 2011 Associate Editor, ACM Transactions on Information Systems Area Chair, ACM SIGIR 2012, CIKM 2012, ICWSM 2012, EMNLP 2010, AIR 2010 Workshop co-Chair, Information Retrieval and Advertising Workshop @ ACM SIGIR Conference, 2009 Program co-Chair (IR), ACM Conference on Information and Knowledge Management ( CIKM 2008 ), IRKM Seminar | TIM Seminar | Information for Visitors | Information for IRKM Students Elaine & Etian FAX: (831) 459-4829 / yiz at soe dot ucsc dot edu diff --git a/src/data/compiled_bios/127.txt b/src/data/compiled_bios/127.txt new file mode 100644 index 0000000000..64c4e7ab71 --- /dev/null +++ b/src/data/compiled_bios/127.txt @@ -0,0 +1 @@ + Home Contact Research Publications Links Zhong Shao Thomas L. Kempner Professor & Chair of Computer Science , Yale University Welcome to my home page! I am interested in doing research on programming languages, formal methods, operating systems, and computer security. I am an advocate of certified software . I believe that certified programming with mechanized proofs is the most promising approach toward building truly dependable software and taking control of the rapidly growing complexity in future computer systems. I lead the FLINT group at Yale. We are interested in building novel certified system software . Our work spans many fields, ranging from programming language design, realistic OS kernel hacking, formal semantics and logics, compiler development, and proof engineering, to solving difficult problems related to all aspects of concurrency and distributed computing. I am also working with researchers at Princeton, U. Penn, and MIT on the new NSF Expedition project: The Science of Deep Specification . Check out our recent POPL'15 paper on Deep Specifications and Certified Abstraction Layers and PLDI'18 paper on Certified Concurrent Abstraction Layers for an overview of our new layered approach for building certified software. See our new OSDI'16 paper (and the official Yale press release ) for an overview of our latest breakthrough on building certified hacker-resistant concurrent operating systems. I am looking for new PostDocs and PhD students . Feel free to contact me if you have interests in or around my research areas, are creative and highly motivated, and have strong technical skills. I will be teaching CS422/522 Operating Systems in Fall 2018. In the past I also taught CS112 Introduction to Programming , CS421 Compilers and Interpreters , CS428 Language-Based Security , CS430 Formal Semantics , and CS210 A Second Course in Programming . I also attend the systems seminars on APLAR and SPAM . My recent research papers and my curriculum vitae (in PDF). My cache of fun sites with headlines , gmail , google , weather , webster , oed , and faqs . Copyright 1994 - 2017, Zhong Shao , Department of Computer Science , Yale University . Last modified: Sun Apr 22 19:20:38 2018 GMT. colophon diff --git a/src/data/compiled_bios/1270.txt b/src/data/compiled_bios/1270.txt new file mode 100644 index 0000000000..52eaf4b10a --- /dev/null +++ b/src/data/compiled_bios/1270.txt @@ -0,0 +1 @@ +George B. Adams, III Professor of Practice of Computer Science Joined department: Fall 2014 EducationBS, Virginia Polytechnic Institute and State University, Electrical Engineering (1978) MS, Purdue University, Electrical Engineering (1980) PhD, Purdue University, Electrical Engineering (1984) Dr. Adams joined the Research Institute for Advanced Computer Science at NASA Ames Research Center (1983-1987), where his work focused on high-performance computing for scientific applications. He was a Visiting Lecturer at Stanford University in 1986. Returning to Purdue University, he has held positions in the School of Electrical and Computer Engineering and Discovery Park. He was named an Outstanding Instructor by General Motors (1994) and the National Technological University (1996 and 2002) for his Purdue University distance education courses. He received the Eaton Award in Design Excellence as the Faculty Mentor from the School of Electrical and Computer Engineering, Purdue University (2007). He has received Favorite Faculty nominations by students living in Purdue University residences (2015 and 2017). He received the College of Science Outstanding Teacher Award for 2016-2017. Selected PublicationsAlex Berryman, Prasad Calyam, George B. Adams III, Douglas Comer, and Joe Cecil, "Advanced Manufacturing Use Cases and Early Results in GENI Infrastructure," Second GENI Research and Educational Experiment Workshop, 2013. (url)Gerhard Klimeck, Michael McLennan, Sean B. Brophy, George B. Adams III, and Mark S. Lundstrom, "nanoHUB.org: Advancing Education and Research in Nanotechnology," Computing in Science & Engineering, September/October 2008. (url)Yinong Zhang and George B. Adams III, "Performance Modeling and Code Partitioning for the DS Architecture," International Symposium on Computer Architecture (ISCA-25), June 1998. (url) diff --git a/src/data/compiled_bios/1271.txt b/src/data/compiled_bios/1271.txt new file mode 100644 index 0000000000..e05ee4fed6 --- /dev/null +++ b/src/data/compiled_bios/1271.txt @@ -0,0 +1 @@ +Daniel G. Aliaga Associate Professor of Computer Science Joined department: Fall 2003 EducationBS, Honors, Magna Cum Laude,, Brown University, Computer Science (1991) MS, University of North Carolina at Chapel Hill, Computer Science (1993) PhD, University of North Carolina at Chapel Hill, Computer Science (1999) Dr. Aliaga's research is primarily in the area of 3D computer graphics but overlaps with computer vision and visualization while also having strong multi-disciplinary collaborations outside of computer science. His research activities are divided into three groups: a) his pioneering work in the multi-disciplinary area of inverse modeling and design; b) his first-of-its-kind work in codifying information into images and surfaces, and c) his compelling work in a visual computing framework including high-quality 3D acquisition methods. Dr. Aliaga's inverse modeling and design is particularly focused at digital city planning applications that provide innovative "what-if" design tools enabling urban stake holders from cities worldwide to automatically integrate, process, analyze, and visualize the complex interdependencies between the urban form, function, and the natural environment. Dr. Aliaga's research has resulted in cutting-edge new methodologies (e.g., 100+ publications in top-venues covering multiple disciplines), membership in more than 65 program committees including all of the leading conferences in his field, several on-going international multi-disciplinary collaborations (i.e., with world experts in computer science, photogrammetry, urban planning, architecture, meteorology, atmospheric sciences, earth sciences, traffic engineering, and more), invited national and international talks and presentations (i.e., about 50 talks and presentations in United States, Brasil, Colombia, Ecuador, France, Japan, Korea, Peru, Qatar, Sweden, and Switzerland), funding support from multiple entities (e.g., NSF, IARPA, MTC, Google, Microsoft, Adobe) and technology transfer (e.g., roles in several startups and multiple patents). Dr. Aliaga performs his research in close interaction with both PhD candidates and with undergraduate students. Selected PublicationsI. Garcia-Dorado, D. Aliaga, P. Bhalachandran, P. Schmid, D. Niyogi, Fast Weather Simulation for Inverse Procedural Design of 3D Urban Models, ACM Transactions on Graphics (TOG), 36(2), #21, 19 pages, 2017.G. Nishida, I. Garcia-Dorado, D. Aliaga, B. Benes, A. Bousseau, Interactive Sketching of Urban Procedural Models, ACM Transactions on Graphics (TOG), 35(4), #130, 11 pages, 2016.I. Demir, D. Aliaga, B. Benes, Coupled Segmentation and Similarity Detection for Architectural Models, ACM Transactions on Graphics (TOG), 34(4), #104, 11 pages, 2015.C. Montalto, I. Garcia-Dorado, D. Aliaga, M. Oliveira, F. Meng, A Total Variation Approach for Customizing Imagery to Improve Visual Acuity, ACM Transactions on Graphics (TOG), 34(3), 15 pages, 2015. diff --git a/src/data/compiled_bios/1272.txt b/src/data/compiled_bios/1272.txt new file mode 100644 index 0000000000..97339b8482 --- /dev/null +++ b/src/data/compiled_bios/1272.txt @@ -0,0 +1 @@ +Walid G. Aref Professor of Computer Science Joined department: Fall 1999 EducationBSc, Alexandria University, Egypt, Computer Science (1983) MSc, Alexandria University, Egypt, Computer Science (1986) PhD, University of Maryland at College Park, Computer Science (1993) Walid G. Aref is a professor of computer science at Purdue. His research interests are in extending the functionality of database systems in support of emerging applications, e.g., spatial, spatio-temporal, graph, biological, and sensor databases. He is also interested in query processing, indexing, data streaming, and geographic information systems (GIS). Walid's research has been supported by the National Science Foundation, the National Institute of Health, Purdue Research Foundation, CERIAS, Panasonic, and Microsoft Corp. In 2001, he received the CAREER Award from the National Science Foundation and in 2004, he received a Purdue University Faculty Scholar award. Walid is a member of Purdue's CERIAS. He is the Editor-in-Chief of the ACM Transactions of Spatial Algorithms and Systems (ACM TSAS), an editorial board member of the Journal of Spatial Information Science (JOSIS), and has served as an editor of the VLDB Journal and the ACM Transactions of Database Systems (ACM TODS). Walid has won several best paper awards including the 2016 VLDB ten-year best paper award. He is a Fellow of the IEEE, and a member of the ACM. Between 2011 and 2014, Walid has served as the chair of the ACM Special Interest Group on Spatial Information (SIGSPATIAL). Selected PublicationsM.S. Hassan, W.G. Aref, A.M. Aly: Graph Indexing for Shortest-Path Finding over Dynamic Sub-Graphs. ACM SIGMOD Conference, pp. 1183-1197 (2016). A.M. Aly, A.R. Mahmood, M.S. Hassan, W.G. Aref, M. Ouzzani, H. Elmeleegy, T. Qadah: AQWA: Adaptive Query-Workload-Aware Partitioning of Big Spatial Data. PVLDB 8(13): 2062-2073 (2015). A.M. Aly, W.G. Aref, M. Ouzzani: Spatial queries with k-nearest-neighbor and relational predicates. ACM SIGSPATIAL, pp. 28:1-28:10 (2015). Y.N. Silva, W.G. Aref, P. Larson, S. Pearson, M.H. Ali: Similarity queries: their conceptual evaluation, transformations, and processing. VLDB J. 22(3): 395-420 (2013). L.-V. Nguyen-Dinh, W.G. Aref, M.F. Mokbel, "Spatio-Temporal Access Methods: Part 2 (2003 - 2010)", IEEE Data Engineering Bulletin,, Vol. 33, No. 2, pp. 46-55 (2010). diff --git a/src/data/compiled_bios/1273.txt b/src/data/compiled_bios/1273.txt new file mode 100644 index 0000000000..587b8eefb3 --- /dev/null +++ b/src/data/compiled_bios/1273.txt @@ -0,0 +1 @@ +Mikhail Atallah Distinguished Professor of Computer Science Professor of Electrical and Computer Engineering (courtesy)Joined department: Fall 1982 EducationPhD, The Johns Hopkins University, Electrical Engineering and Computer Science (1982) MS, The Johns Hopkins University, Electrical Engineering and Computer Science (1980) BE, American University in Beirut, Electrical Engineering (1975) Professor Atallah's research interests are in information security and algorithms. His work on key management received the 2015 CCS Test of Time Award. He was the 2017 recipient of the Purdue Arden L. Bement Jr. Award, the most prestigious award the university bestows in pure and applied science and engineering. He was the 2016 recipient of the Purdue Sigma Xi Faculty Research Award, and the 2013 recipient of the Purdue Outstanding Commercialization Award. He is Fellow of both the ACM and IEEE, and was a speaker nine times in the Distinguished Lecture Series of top Computer Science Departments. He was keynote and invited speaker at many national and international meetings, and has served on the editorial boards of top journals and on the program committees of top conferences and workshops. He was selected in 1999 as one of the best teachers in the history of Purdue University and included in Purdue's Book of Great Teachers, a permanent wall display of Purdue's best teachers past and present. In 2001 he co-founded Arxan Technologies Inc, to commercialize a software protection technology developed jointly with his doctoral student Hoi Chang (in October 2015, Arxan reported that applications secured by it were running on over 500 million devices). He was CTO of Arxan Technologies and Chief Scientist for its defense subsidiary, Arxan Defense Systems. Arxan Defense Systems was acquired in 2010 by Microsemi Corporation, and Arxan Technologies was acquired in 2013 by private equity firm TA Associates. Selected PublicationsMarina Blanton, Mikhail J. Atallah, Keith B. Frikken, Qutaibah M. Malluhi, "Secure and Efficient Outsourcing of Sequence Comparisons", Proc. 17th European Symposium on Research in Computer Security (ESORICS 2012), Pisa, Italy, September 2012, pp. 505-522.Hao Yuan, Mikhail J. Atallah, "Running Max/Min Filters Using 1+o(1) Comparisons per Sample", IEEE Transactions on Pattern Analysis and Machine Intelligence, Volume 33, No. 12, 2011, pp. 2544-2548.Hao Yuan, Mikhail J. Atallah, "Data Structures for Range Minimum Queries in Multidimensional Arrays", Proc. of Annual ACM-SIAM Symposium on Discrete Algorithms (SODA 2010), Austin, Texas, 2010, pp. 150-160.Mikhail J. Atallah, Marina Blanton, Nelly Fazio, and Keith B. Frikken, "Dynamic and Efficient Key Management for Access Hierarchies", ACM Transactions on Information and System Security, Vol. 12, 2009. diff --git a/src/data/compiled_bios/1274.txt b/src/data/compiled_bios/1274.txt new file mode 100644 index 0000000000..23438c25f0 --- /dev/null +++ b/src/data/compiled_bios/1274.txt @@ -0,0 +1 @@ +Elias Bareinboim Assistant Professor of Computer Science Joined department: Fall 2015 EducationPh.D., University of California, Los Angeles, Computer Science (2014) Professor Barenboim's research focuses on causal and counterfactual inference and their applications to data-driven fields (e.g., medicine, economics, cognitive science). Bareinboim is broadly interested in artificial intelligence, machine learning, statistics, robotics, and the philosophy of science. His thesis work was the first to propose a general solution to the problem of "data fusion," and provides practical methods for combining datasets generated under different experimental conditions. Bareinboim recognitions include the AI's 10 to Watch (IEEE), the Dan David Prize Scholarship, the Yahoo! Key Scientific Challenges Award, and the 2014 AAAI Outstanding Paper Award. Selected PublicationsCausal inference and the data-fusion problem. E. Bareinboim, J. Pearl. Proceedings of the National Academy of Sciences, v. 113 (27), pp. 7345-7352, 2016. Bandits with Unobserved Confounders: A Causal Approach. E. Bareinboim, A. Forney, J. Pearl. In Proceedings of the 28th Annual Conference on Neural Information Processing Systems (NIPS), 2015. Transportability from Multiple Environments with Limited Experiments: Completeness Results. E. Bareinboim, J. Pearl. In Proceedings of the 27th Annual Conference on Neural Information Processing Systems (NIPS), 2014.Recovering from Selection Bias in Causal and Statistical Inference. E. Bareinboim, J. Tian, J. Pearl. In Proceedings of the 28th AAAI Conference on Artificial Intelligence (AAAI), 2014.A General Algorithm for Deciding Transportability of Experimental Results. E. Bareinboim, J. Pearl. Journal of Causal Inference, v. 1(1), pp. 107--134, 2013. diff --git a/src/data/compiled_bios/1275.txt b/src/data/compiled_bios/1275.txt new file mode 100644 index 0000000000..aee2046791 --- /dev/null +++ b/src/data/compiled_bios/1275.txt @@ -0,0 +1 @@ +Saugata Basu Professor of MathematicsProfessor of Computer ScienceJoined department: Fall 2008 EducationPhD, Courant Institute, New York University, (1996) BTech, Indian Institute of Technology, Computer Science and Engineering (1991) Saugata Basu has a joint appointment as a Professor of Mathematics and Computer Science with Mathematics as his home department. He comes to Purdue from the Georgia Institute of Technology. His research interests are in real algebraic geometry, computational algebra and geometry, and theoretical computer science. Basu has previously held positions at the University of Michigan, IBM T. J. Watson Research Center, and the Mathematical Sciences Research Institute in Berkeley. He received his PhD from the Courant Institute, New York University and his BTech degree from the Indian Institute of Technology, Kharagpur. Basu has also held visiting positions at Universite de Rennes, the Institute of Mathematics and its Applications in Minneapolis, and the Institue Henri Poincar, Paris. Selected PublicationsSaugata Basu, Thierry Zell, "Polynomial hierarchy, Betti Numbers and a real analogue of Toda's Theorem", Foundations of Computational Mathematics, 10:429:454, 2010, (preliminary version appeared in Proceedings of the Symposium on Foundations of Computer Science (FOCS), 2009).Saugata Basu, "Combinatorial Complexity in O-minimal Geometry", Proceedings of the London Mathematical Society (3) 100 (2010) 405-428, (preliminary version appeared in the Proceedings of ACM Symposium on Theory of Computing (STOC), 2007).Saugata Basu, "Computing the Top Betti Numbers of Semi-algebraic Sets Defined by Quadratic Inequalities in Polynomial Time", Foundations of Computational Mathematics,8:45-80 (2008), (preliminary version appeared in the Proceedings of Symposium on Theory of Computing (STOC), 2005). diff --git a/src/data/compiled_bios/1276.txt b/src/data/compiled_bios/1276.txt new file mode 100644 index 0000000000..7442db88dd --- /dev/null +++ b/src/data/compiled_bios/1276.txt @@ -0,0 +1 @@ +Tony Bergstrom Assistant Professor of Practice Joined department: Spring 2019 EducationPhD, University of Illinois at Urbana-Champaign, Computer Science (2011) MS, University of Illinois at Urbana-Champaign, Computer Science (2006) BS, Rose-Hulman Institute of Technology, Computer Science and Mathematics (2004) diff --git a/src/data/compiled_bios/1277.txt b/src/data/compiled_bios/1277.txt new file mode 100644 index 0000000000..71b2703f6a --- /dev/null +++ b/src/data/compiled_bios/1277.txt @@ -0,0 +1 @@ +Elisa Bertino Samuel D. Conte Professor of Computer Science Joined department: 2004 EducationDr., University of Pisa, Computer Science (1980) Professor Elisa Bertino joined Purdue in January 2004 as professor in Computer Science and research director at CERIAS. Her research interests cover many areas in the fields of information security and database systems. Her research combines both theoretical and practical aspects, addressing applications on a number of domains, such as medicine and humanities. Current research includes: access control systems, secure publishing techniques and secure broadcast for XML data; advanced RBAC models and foundations of access control models; trust negotiation languages and privacy; data mining and security; multi-strategy filtering systems for Web pages and sites; security for grid computing systems; integration of virtual reality techniques and databases; and geographical information systems and spatial databases. Professor Bertino serves or has served on the editorial boards of several journals - many of which are related to security, such as the ACM Transactions on Information and System Security, the IEEE Security & Privacy Magazine, and IEEE Transactions on Dependable and Secure Computing. She is currently serving as program chair of the 36th International Conference on Very Large Data Bases (VLDB 2010). Professor Bertino is a Fellow of the Institute of Electrical and Electronics Engineers and a Fellow of ACM. She received the IEEE Computer Society Technical Achievement award in 2002 for outstanding contributions to database systems and database security and advanced data management systems, and received the 2005 Tsutomu Kanai Award by the IEEE Computer Society for pioneering and innovative research contributions to secure distributed systems. She is recently served in the IEEE Computer Society Board of Governors and as Chair of ACM SIGSAC. Recently funded projects: Elisa Bertino, "Security Techniques for Smart Mobile Devices", Sypris Electronics, 02/01/2012-12/31/2012. Elisa Bertino, "REU - TC:Large:Collaborative Research: Privacy-Enhanced Secure Data Provenance", National Science Foundation, 8/1/2011-7/31/2016. Sorin Matei, Elisa Bertino, Yu Michael Zhu, Chuanhai Liu, "KredibleNet - Building a research community and proposing aresearch agenda for the study and modeling of reputation and authority across informal knowledge markets", National Science Foundation, 01/01/2013-08/31/2014. Stephen John Elliott, Elisa Bertino, "Advancing Commercial Participation in the NSTIC Ecosystem", NIST, 10/01/2012-09/30/2013. Selected PublicationsQ, Ni, E. Bertino, J. Lobo, C. Brodie, C.-M. Karat,J.Karat,A. Trombetta, "Privacy-Aware Role-Based Access Control", ACM Transactions on Information and System Security, Vol. 13, N. 3, July 2010N. Shang, M. Nabeel, F. Paci, E. Bertino, "A Privacy-Preserving Approach to Policy-Based ContentDissemination", Proceedings of the 26th International Conference on Data Engineering, ICDE 2010, March 1-6, 2010, Long Beach, California, USA. IEEE 2010R. Nehme, E. Rundensteiner, E. Bertino, "Tagging Stream Data for Rich Real-Time Services", Proceedings of the 35th International Conference on VeryLarge Databases (VLDB 2009), Lyon (France), August 24-28, 2009. diff --git a/src/data/compiled_bios/1278.txt b/src/data/compiled_bios/1278.txt new file mode 100644 index 0000000000..c86c63040e --- /dev/null +++ b/src/data/compiled_bios/1278.txt @@ -0,0 +1 @@ +Bharat Bhargava Professor of Computer Science Professor of Electrical and Computer Engineering (courtesy)Joined department: Fall 1984 EducationBS, Punjab University, Mathematics (Honors) (1966) BE, Indian Institute of Science, Electrical and Computer Engineering (with distinction) (1969) PhD, Purdue University, Electrical Engineering (1974) Bharat Bhargava is a professor of the Department of Computer Science with a courtesy appointment in the School of Electrical & Computer Engineering at Purdue University. Professor Bhargava is conducting research in security and privacy issues in distributed systems. This involves host authentication and key management, secure routing and dealing with malicious hosts, adaptability to attacks, and experimental studies. His recent work is on Intelligent Autonomous Systems and data analytics and machine learning. It includes cognitive autonomy, reflexivity, deep learning and knowledge discovery. His earlier work on Waxed Prune with MIT and NGC built a prototype for privacy preserving data dissemination in cross-domains. Based on his research in reliability, he is studying vulnerabilities in systems to assess threats to large organizations. He has developed techniques to avoid threats that can lead to operational failures. The research has direct impact on nuclear waste transport, bio-security, disaster management, and homeland security. These ideas and scientific principles are being applied to the building of secure networks and systems. Professor Bhargava is recipient of seven best paper awards in various international computer science conferences. Professor Bhargava is a Fellow of the Institute of Electrical and Electronics Engineers and of the Institute of Electronics and Telecommunication Engineers. In 1999, he received the IEEE Technical Achievement Award for a major impact of his decade long contributions to foundations of adaptability in communication and distributed systems. He has been awarded the charter Gold Core Member distinction by the IEEE Computer Society for his distinguished service. He received Outstanding Instructor Awards from the Purdue chapter of the ACM in 1996 and 1998. He has graduated the largest number of Ph.D students in CS department and is active in supporting/mentoring minority students. In 2003, he was inducted in the Purdue's Book of Great Teachers. In 2017, he received the Helen Schleman Gold Medallion Award for supporting women at Purdue and Focus award for advancing technology for differently abled students. He serves on seven editorial boards of international journals. He also served on the IEEE Computer Society on Technical Achievement award and Fellow committees. Professor Bhargava is the founder of the IEEE Symposium on Reliable and Distributed Systems, IEEE conference on Digital Library, and the ACM Conference on Information and Knowledge Management. Selected PublicationsX. Wu, R. Jiang, B. Bhargava, "On the Security of Data Access Control for Multiauthority Cloud Storage Systems", IEEE Transactions on Services Computing, , No. 10, Vol. 2, pp. 258-272, 2017N. Ahmed and B. Bhargava. From Byzantine Fault-Tolerance to Fault-Avoidance: An Architectural Transformation to Attack and Failure Resilience. Accepted for Publication in IEEE Transactions on Cloud Computing, Dec. 2016. ( Available on IEEE Explore early access) DOI:10.1109/TCC.2018.2814989 Y. Zhong, B. Bhargava, Y. Lu, P. Angin, A computational Dynamic Trust Model for User Authorization, IEEE Transaction on Dependable and Secure Computing, Vol. 12, No. 1, pp. 1-15, 2015N. Ahmed, B. Bhargava, Mayflies: A Moving Target Defense Framework for Distributed Systems. Proceedings of ACM Conference on Computers and Communications Security (CCS) workshop on Moving Target Defense: 59-64, Vienna, October, 2016 diff --git a/src/data/compiled_bios/1279.txt b/src/data/compiled_bios/1279.txt new file mode 100644 index 0000000000..a93497e221 --- /dev/null +++ b/src/data/compiled_bios/1279.txt @@ -0,0 +1 @@ +Jeremiah M. Blocki Assistant Prof in Computer ScienceJoined department: Fall 2016 EducationPhD, Carnegie Mellon University, Computer Science (2014) BS, Carnegie Mellon University, Computer Science (2009) At a high level Professor Blocki describes himself as "a theoretical computer scientist who is interested in applying fundamental ideas from computer science to address practical problems in usable privacy and security." He is especially interested in developing usable authentication protocols for humans. Are there easy ways for humans to create and remember multiple strong passwords? Can we design secure cryptographic protocols that are so simple that can be run by a human?Jeremiah has also developed algorithms for conducting privacy preserving data analysis in several different application settings including social networks and password data. Prior to joining Purdue Jeremiah completed his PhD on Usable Human Authentication at Carnegie Mellon University under the supervision of his advisors Manuel Blum and Anupam Datta. He also spent a year at Microsoft Research New England as a postdoc. Selected PublicationsEfficiently Computing Data Independent Memory Hard Functions. With Joel Alwen. CRYPTO 2016. Naturally Rehearsing Passwords. With Manuel Blum and Anupam Datta. ASIACRYPT 2013. Spaced Repetition and Mnemonics Enable Recall of Multiple Strong Passwords. With Saranga Komanduri, Lorrie Cranor and Anupam Datta. NDSS 2015. Differentially Private Password Frequency Lists: Or, How to Release Statistics from 70 Million Passwords (on Purpose). with Anupam Datta and Joseph Bonneau. NDSS 2016. Optimizing Password Composition Policies. With Saranga Komanduri, Ariel Procaccia and Or Sheffet. EC 2013. diff --git a/src/data/compiled_bios/128.txt b/src/data/compiled_bios/128.txt new file mode 100644 index 0000000000..dc8ca963a4 --- /dev/null +++ b/src/data/compiled_bios/128.txt @@ -0,0 +1 @@ + Avi Silberschatz Professor of Computer Science at Yale University Biographical Sketch Avi Silberschatz is the Sidney J. Weinberg Professor of Computer Science at Yale University. He was the chair of the Computer Science department at Yale from 2005 to 2011. Prior to joining Yale, he was the Vice President of the Information Sciences Research Center at Bell Laboratories, Murray Hill, New Jersey. Prior to that, he held a chaired professorship in the Department of Computer Sciences at the University of Texas at Austin. His research interests include database systems, operating systems, storage systems, and network management. Professor Silberschatz is a Fellow of ACM, a Fellow of IEEE, a Fellow of AAAS, and a member of the Connecticut Academy of Science and Engineering. He received the 2002 IEEE Taylor L. Booth Education Award, the 1998 ACM Karl V. Karlstrom Outstanding Educator Award, and the 1997 ACM SIGMOD Contribution Award. In recognition for his outstanding level of innovation and technical excellence, Silberschatz was awarded the Bell Laboratories President's Award, in 1998 (QTM Project), 1999 (DataBlitz Project), and 2004 (NetInventory Project). Professor Silberschatz is currently involved in a number of research projects dealing with database systems, networking, and privacy. He has graduated over a dozen Ph.D. students who now hold positions in academic institutions and industrial research laboratories. His writings have appeared in numerous ACM and IEEE publications and in other professional conferences and journals. He obtained over four dozen patents and over two dozen grants. He is a co-author of two well known textbooks -- Operating System Concepts and Database System Concepts . To view his Google Scholar Citations Page please click here Professor Silberschatz has written editorials dealing technology and policy issues, which have appeared in publications including The New York Times, Boston Globe, Hartford Courant, and Industry Standard. He blogs at The Post and tweets at @silberschatz . Contact Information Office: Watson, Room 308 Phone: (203) 432-4713 Fax: (203) 436-4918 Email: avi@cs.yale.edu Address: Department of Computer Science Yale University 51 Prospect Strret P.O. box 208285 New Haven, CT 06520-8285 USA Assistant -- Judi Paige: (203) 436-1267 judi.paige@yale.edu Memorable Trips Flying I always had a passion for flying. I made solo when I was 18 years old. Stopped flying until 2004 when I decided to resume this activity. I now fly regularily mostly a Cherokee 180. The pictures were taken while flying from New Haven to New York City. Yale University Yale University comprises three major academic components: Yale College (the undergraduate program), the Graduate School of Arts and Sciences, and the professional schools. Approximately 11,250 students attend Yale Designed by Emily Aiken diff --git a/src/data/compiled_bios/1280.txt b/src/data/compiled_bios/1280.txt new file mode 100644 index 0000000000..30382a13be --- /dev/null +++ b/src/data/compiled_bios/1280.txt @@ -0,0 +1 @@ +Simina Branzei Assistant Professor, starting January 2018 Joined department: Spring 2018 diff --git a/src/data/compiled_bios/1281.txt b/src/data/compiled_bios/1281.txt new file mode 100644 index 0000000000..26ac0b5200 --- /dev/null +++ b/src/data/compiled_bios/1281.txt @@ -0,0 +1 @@ +Christopher W. Clifton Professor of Computer Science Joined department: Fall 2001 EducationPhD, Princeton University, Computer Science (1991) MA, Princeton University, Computer Science (1988) BS, Massachusetts Institute of Technology, Computer Science and Engineering (1986) MS, Massachusetts Institute of Technology, Electrical Engineering and Computer Science (1986) Dr. Clifton works on data privacy, particularly with respect to analysis of private data. This includes privacy-preserving data mining, data de-identification and anonymization, and limits on identifying individuals from data mining models. He also works more broadly in data mining, including data mining of text and data mining techniques applied to interoperation of heterogeneous information sources. Fundamental data mining challenges posed by these applications include extracting knowledge from noisy data, identifying knowledge in highly skewed data (few examples of "interesting" behavior), and limits on learning. He also works on database support for widely distributed and autonomously controlled information, particularly issues related to data privacy. From September 2013-December 2015, he served as a Program Director at the National Science Foundation in the Information and Integration and Informatics cluster, also working with the Secure and Trustworthy Cyberspace Program. Prior to joining Purdue, Dr. Clifton was a principal scientist in the Information Technology Division at the MITRE Corporation. Before joining MITRE in 1995, he was an assistant professor of computer science at Northwestern University. Selected PublicationsJaideep Vaidya, Chris Clifton, and Michael Zhu, "Privacy Preserving Data Mining", Volume 19 in Advances in Information Security, Springer, New York, 2006, (url)Mummoorthy Murugesan, Wei Jiang, Chris Clifton, Luo Si and Jaideep Vaidya, "Efficient Privacy-Preserving Similar Document Detection", The VLDB Journal, 19(4):457-475, August 2010. (url)M. Ercan Nergiz and Chris Clifton, "δ-Presence Without Complete World Knowledge", IEEE Transactions on Knowledge and Data Engineering, 22(6):868-883, IEEE Computer Society, June 2010. (url) diff --git a/src/data/compiled_bios/1282.txt b/src/data/compiled_bios/1282.txt new file mode 100644 index 0000000000..96e52a5363 --- /dev/null +++ b/src/data/compiled_bios/1282.txt @@ -0,0 +1 @@ +Douglas E. Comer Distinguished Professor of Computer Science Professor of Electrical and Computer Engineering (courtesy)Joined department: Fall 1976 EducationBS, Houghton College, Mathematics and Physics (1971) PhD, The Pennsylvania State University, Computer Science (1976) Professor Comer is an internationally recognized expert on computer networking and the TCP/IP protocols. He has been working with TCP/IP and the Internet since the late 1970s. Comer established his reputation as a principal investigator on several early Internet research projects. He served as chairman of the CSNET technical committee, chairman of the DARPA Distributed Systems Architecture Board, and was a member of the Internet Activities Board (the group of researchers who built the Internet). Comer has created courses on computer networks, the Internet, TCP/IP protocols, and operating systems for a variety of audiences, including in-depth courses for engineers and less technical courses for others; he continues to teach at various industries and networking conferences around the world. In addition, Comer consults for private industry on the design of networks and networking equipment. Professor Comer is well-known for his series of ground breaking textbooks on computer networks, the Internet, computer operating systems, and computer architecture. His books have been translated into sixteen languages, and are widely used in both industry and academia. Comer's three-volume series Internetworking With TCP/IP is often cited as an authoritative reference for the Internet protocols. More significantly, Comer's texts have been used by fifteen of the top sixteen Computer Science Departments listed in the U.S. News and World Report ranking. Comer's research is experimental. He and his students design and implement working prototypes of large, complex systems. The performance of the resulting prototypes are then measured. The operating system and protocol software that has resulted from Comer's research has been used by industry in a variety of products. For twenty years, Professor Comer served as editor-in-chief of the research journal Software--Practice And Experience, published by John Wiley & Sons. Between 2003 and 2009, Comer was on leave from Purdue and worked at Cisco Systems, where he served as Cisco's first VP of Research. Comer is a Fellow of the ACM and the recipient of numerous teaching awards. Selected PublicationsD.Comer, "Operating Systems Design -- The Xinu Approach, Second Edition", CRC Press, 2015D.Comer, "Computer Networks And Internets, sixth edition", Prentice Hall, Upper Saddle River, NJ, 2014D. Comer, "Internetworking With TCP/IP, Volume 1 -- Principles, Protocols, and Architecture", Prentice Hall, Upper Saddle River, NJ, 2013 diff --git a/src/data/compiled_bios/1283.txt b/src/data/compiled_bios/1283.txt new file mode 100644 index 0000000000..33b3872e32 --- /dev/null +++ b/src/data/compiled_bios/1283.txt @@ -0,0 +1 @@ +Benjamin J. Delaware Assistant Professor of Computer ScienceJoined department: Fall 2016 EducationPh.D., The University of Texas at Austin, Computer Science (2013) MSc, Washington University in St. Louis, Computer Science (2007) B.S., Truman State University, Computer Science (2005) Professor Delaware's research focuses on the design and implementation of programming languages and the development of tools that provide higher assurance with lower effort through the use of mechanized theorem provers. diff --git a/src/data/compiled_bios/1284.txt b/src/data/compiled_bios/1284.txt new file mode 100644 index 0000000000..8633281d8e --- /dev/null +++ b/src/data/compiled_bios/1284.txt @@ -0,0 +1 @@ +Petros S. Drineas Associate Professor of Computer ScienceJoined department: Fall 2016 diff --git a/src/data/compiled_bios/1285.txt b/src/data/compiled_bios/1285.txt new file mode 100644 index 0000000000..04e3211e88 --- /dev/null +++ b/src/data/compiled_bios/1285.txt @@ -0,0 +1 @@ +H. E. Dunsmore Associate Professor of Computer Science Joined department: 1978 EducationBS, University of Tennessee, Mathematics and Physics (1968) PhD, University of Maryland, Computer Science (1978) Dr. Dunsmore's interest areas include the Internet, the World-Wide Web, Web programming, Website design and implementation, software engineering, software architecture, software metrics, Java, C++, C, JavaScript, and Perl programming, cgi software, object-oriented design and programming, and information systems. Dr. Dunsmore is the Chair of the College of Science Undergraduate Education Policy and Curriculum Committee (UEPCC) and Chair of the College of Science Faculty Committee for Diversity (FCD). He is a member of the Executive Council of the Purdue University Teaching Academy. Dr. Dunsmore was selected Outstanding Teacher in the College of Science at Purdue in 1980. He is a 1996 recipient of the Charles B. Murphy Outstanding Undergraduate Teacher Award for Purdue University. He was chosen as a Founding Fellow of the Purdue Teaching Academy in 1997. He was selected in 1998 as a member of the Purdue University chapter of Mortar Board (national honor society that recognizes college students and faculty for their achievements in scholarship, leadership, and service). He was nominated in 1998 by Purdue for the Carnegie Foundation U.S. Professor of the Year program. Dr. Dunsmore was selected one of the Top Ten Teachers in the College of Science in 1994, 1995, and 2000. In 2001 he was selected as one of three Outstanding Indiana Information Technology Educators by the Indiana Information Technology Association (INITA). In 2005 he was voted by College of Science alumni as their Favorite Purdue University Computer Science Professor. He was selected in 2005 as a Senior Faculty Mentor in the Teaching for Tomorrow Program at Purdue. He is a member of the Phi Beta Kappa and Upsilon Pi Epsilon (honor society for the computing sciences). Dr. Dunsmore has extensive legal and industrial consulting experience. He has written over 60 technical articles. He is coauthor of the books Software Engineering Metrics and Models (with Sam Conte and Vincent Shen) and Internet Resources for Tourism and Leisure (with William Theobald). diff --git a/src/data/compiled_bios/1286.txt b/src/data/compiled_bios/1286.txt new file mode 100644 index 0000000000..06d62f97b6 --- /dev/null +++ b/src/data/compiled_bios/1286.txt @@ -0,0 +1 @@ +Sonia Fahmy Professor of Computer Science Joined department: 1999 EducationBSc, The American University in Cairo, Egypt, Computer Science (1992) MS, The Ohio State University, Computer and Information Science (1996) PhD, The Ohio State University, Computer and Information Science (1999) Professor Fahmy's research interests lie in the design and evaluation of network architectures and protocols. Her work is published in over 100 refereed papers, including publications in IEEE/ACM Transactions on Networking, IEEE INFOCOM, ICNP, and ICDCS. She received the National Science Foundation CAREER award in 2003, and the Schlumberger foundation technical merit award in 2000. Her research has been supported by grants from the government and industry including NSF, DHS, Cisco Systems, HP, Northrop Grumman, Schlumberger, and Raytheon/BBN. Fahmy has served on the organizing or technical program committees of several conferences including ACM SIGCOMM, MOBICOM, SIGMETRICS, and CoNEXT, and IEEE INFOCOM, ICNP, and ICDCS, and on the editorial board of IEEE/ACM Transactions on Networking. She is a member of the ACM, and a senior member of the IEEE. Selected PublicationsR. Chertov and S. Fahmy, "Forwarding Devices: From Measurements to Simulations", ACM Transactions on Modeling and Computer Simulation (TOMACS), 21(2), pp. 12:1-12:23, February 2011S. Fahmy and M. Kwon, "Characterizing overlay multicast networks and their costs", IEEE/ACM Transactions on Networking, 15(2):373-386, April 2007O. Younis and S. Fahmy, "HEED: A hybrid, energy-efficient, distributed clustering approach for ad-hoc sensor networks", IEEE Transactions on Mobile Computing, 3(4):366-379, Oct-Dec 2004 diff --git a/src/data/compiled_bios/1287.txt b/src/data/compiled_bios/1287.txt new file mode 100644 index 0000000000..45a4ee6010 --- /dev/null +++ b/src/data/compiled_bios/1287.txt @@ -0,0 +1 @@ +Pedro Fonseca Assistant Professor of Computer Science Joined department: Fall 2018 Pedro Fonseca's research focuses on building systems that are both reliable and secure. During the last years, he has developed techniques and methodologies that are particularly suited to address this problem in the context of core software systems - the building blocks in modern computing that other software layers critically rely upon, such as operating systems, hypervisors and distributed systems. He tackles this problem from three directions:Gathering insights about the impact of emerging trends on reliability and security, by conducting real-world, empirical studies Building systematic testing tools that scale to modern, complex systemsDesigning and redesigning systems for reliability and security Selected PublicationsMultiNyx: A Multi-level Abstraction Framework for Systematic Analysis of Hypervisors [pdf]. Pedro Fonseca, Xi Wang, Arvind Krishnamurthy. In the 13th USENIX EuroSys Conference (EuroSys 2018).An Empirical Study on the Correctness of Formally Verified Distributed Systems [pdf]. Pedro Fonseca, Kaiyuan Zhang, Xi Wang, and Arvind Krishnamurthy. In the 12th USENIX EuroSys Conference (EuroSys 2017).SKI: Exposing Kernel Concurrency Bugs through Systematic Schedule Exploration [pdf]. Pedro Fonseca, Rodrigo Rodrigues, and Bjoern Brandenburg. In the 11th USENIX Symposium on Operating Systems Design and Implementation (OSDI 2014) diff --git a/src/data/compiled_bios/1288.txt b/src/data/compiled_bios/1288.txt new file mode 100644 index 0000000000..7f9b2d2353 --- /dev/null +++ b/src/data/compiled_bios/1288.txt @@ -0,0 +1 @@ +Christina Garman Assistant Professor, starting January 2018 Joined department: Spring 2018 EducationBachelor of Science, Bucknell University, Computer Science and Engineering (2011) Bachelor of Arts, Bucknell University, Mathematics (2011) Master of Science in Engineering, Johns Hopkins University, Computer Science (2013) Doctor of Philosophy, Johns Hopkins University, Computer Science (2017) Christina Garman received the Bachelor of Science in Computer Science and Engineering and Bachelor of Arts in Mathematics from Bucknell University in 2011, completed the Masters of Engineering in Computer Science from Johns Hopkins University in 2013, and received her Doctor of Philosophy in Computer Science from Johns Hopkins University in 2017. Her research interests focus largely on practical and applied cryptography. More specifically, her work has focused on the security of deployed cryptographic systems from all aspects, including the evaluation of real systems, improving the tools that we have to design and create them, and actually creating real, deployable systems. Some of her recent work has been on the weaknesses of RC4 in TLS, cryptographic automation, decentralized anonymous e-cash, and decentralized anonymous credentials. She is also one of the co-founders of ZCash, a startup building a cryptocurrency based on Zerocash. Her work has been publicized in The Washington Post, Wired, and The Economist, and she received a 2016 ACM CCS Best Paper Award. diff --git a/src/data/compiled_bios/1289.txt b/src/data/compiled_bios/1289.txt new file mode 100644 index 0000000000..f43c5cbc75 --- /dev/null +++ b/src/data/compiled_bios/1289.txt @@ -0,0 +1 @@ +David Gleich Jyoti and Aditya Mathur Associate Professor of Computer Science Joined department: Fall 2011 EducationPh.D., Stanford University, Computational and Mathematical Engineering (2009) M.S., Stanford University, Computational and Mathematical Engineering (2006) B.S., Harvey Mudd College, Computer Science and Mathematics (2004) Professor Gleich is interested in how we can utilize matrix algebra to express -- and improve -- algorithms in network analysis and data-based simulation analysis. Matrix algebra is a particularly attractive paradigm to study these procedures as it often gives rise to efficient computational procedures in a variety of settings (serial, parallel, streaming). This research straddles a few different areas and often involves working with large datasets on high performance computing architectures (e.g. MPI clusters) and data computing architectures (e.g. MapReduce). Selected PublicationsArif Khan, David F. Gleich, Mahantesh Halappanavar and Alex Pothen, "A multithreaded algorithm for network alignment via approximate matching", Supercomputing 2012. http://conferences.computer.org/sc/2012/papers/1000a054.pdfDavid F. Gleich and C. Seshadhri, "Vertex neighborhoods, low conductance cuts, and good seeds for local community methods", KDD2012, 10.1145/2339530.2339628Reid Andersen and David F. Gleich and Vahab Mirrokni, "Overlapping clusters for distributed computation", WSDM2012, doi:10.1145/2124295.2124330 diff --git a/src/data/compiled_bios/129.txt b/src/data/compiled_bios/129.txt new file mode 100644 index 0000000000..e62573e45d --- /dev/null +++ b/src/data/compiled_bios/129.txt @@ -0,0 +1 @@ +Robert Souls research interests are in distributed systems, networking, and applied programming languages. He received his PhD from New York University in 2012, and his BA from Brown University in 1999. For two years he was a research co-op in the Data Intensive Systems and Analytics Group at IBM T.J. Watson Research Center. He is the recipient of an IBM Invention Plateau Award, a Google Faculty Research Award, and Best Paper Award at ACM DEBS 2012 and USENIX NSDI 2018. diff --git a/src/data/compiled_bios/1290.txt b/src/data/compiled_bios/1290.txt new file mode 100644 index 0000000000..e39f4b0262 --- /dev/null +++ b/src/data/compiled_bios/1290.txt @@ -0,0 +1 @@ +Dan Goldwasser Assistant Professor of Computer Science Joined department: 2014 EducationPhD, University of Illinois, (2012) diff --git a/src/data/compiled_bios/1291.txt b/src/data/compiled_bios/1291.txt new file mode 100644 index 0000000000..8acfeeb9f3 --- /dev/null +++ b/src/data/compiled_bios/1291.txt @@ -0,0 +1 @@ +Ananth Grama Samuel D. Conte Professor of Computer Science Joined department: 1996 EducationBE, University of Roorkee, Computer Science and Technology (1989) MS, Wayne State University, Computer Engineering (1990) PhD, University of Minnesota, Computer Science (1996) Professor Grama's research interests span the areas of parallel and distributed computing architectures, algorithms, and applications. His work on distributed infrastructure deals with development of software support for dynamic clustered and multiclustered environments. More recent work has focused on resource location and allocation mechanisms in peer-to-peer networks. His research on applications has focused on particle dynamics methods, their applications to dense linear system solvers, and fast algorithms for data compression and analysis. Professor Grama has authored several papers and co-authored a text book Introduction to Parallel Computing: Design and Analysis of Algorithms with Vipin Kumar, Anshul Gupta, and George Karypis. He is a member of American Association for Advancement of Sciences and Sigma Xi. Selected PublicationsBogdan Carbunar, Ananth Grama, Jan Vitek, Octavian Carbunar, "Redundancy and Coverage Detection in Sensor Networks", ACM Transactions on Sensor Networks, Volume 2, Issue 1, 2006Mehmet Koyuturk, Yohan Kim, Shankar Subramaniam, Wojciech Szpankowski, and Ananth Grama, "Detecting conserved interaction patterns in biological networks", Journal of Computational Biology, 13(7), 1299-1322, 2006Ronaldo Ferreira, Suresh Jagannathan, and Ananth Grama, "Locality in Structured Peer-to-Peer Networks", Journal of Parallel and Distributed Computing, Volume 66, Number 2, pages 257-273, 2006 diff --git a/src/data/compiled_bios/1292.txt b/src/data/compiled_bios/1292.txt new file mode 100644 index 0000000000..cf8ae84066 --- /dev/null +++ b/src/data/compiled_bios/1292.txt @@ -0,0 +1 @@ +Elena Grigorescu Associate Professor of Computer Science Joined department: Fall 2012 diff --git a/src/data/compiled_bios/1293.txt b/src/data/compiled_bios/1293.txt new file mode 100644 index 0000000000..e0c1326b97 --- /dev/null +++ b/src/data/compiled_bios/1293.txt @@ -0,0 +1 @@ +Susanne E. Hambrusch Interim Head Department of Computer Science Professor of Computer Science Joined department: Fall 1982 EducationMS, Technical University of Vienna, Computer Science (1977) PhD, The Pennsylvania State University, Computer Science (1982) Susanne E. Hambrusch is professor of Computer Sciences at Purdue University. She received the Diplom Ingenieur in Computer Science from the Technical University of Vienna, Austria, in 1977, and a Ph.D. in Computer Science from Penn State in 1982. In 1982, she joined the faculty at Purdue University. She served as the Department Head of the Computer Science department from 2002 to 2007. She has held visiting appointments at the Technical University of Graz, Austria, and the International Computer Science Institute at the University of California, Berkeley. From 2010 to 2013, she served as the Director of the Computing and Communication Foundations (CCF) Division in the CISE Directorate at NSF. She successfully led the development of several new crosscutting programs including Cyber-Enabled Sustainability Science and Engineering (CyberSEES) and eXploiting Parallelism and Scalability (XPS), and the US-Israel Collaboration in Computer Science. Professor Hambrusch's research interests are in query and data management in mobile environments, computer science education, parallel and distributed computation, and analysis of algorithms. She has lead two projects in computer science education, "Science Education in Computational Thinking (SECANT)" and "Computer Science for Education (CS4EDU)". Her research has been supported by NSF, Air Force, ONR, DARPA, Microsoft, and State Farm. She has served on the board of directors of the Computing Research Association (CRA) and the CRA Committee on the Status of Women in Computing Research (CRA-W). She was a co-director for CRA-W's career mentoring workshops and she oversaw programs focused on undergraduate research experiences. She currently serves on CRA's Taulbee Survey Committee and she is a co-chair on CRA's education committee. She has served on the editorial boards of Information Processing Letters and Parallel Computing, and she currently is a co-chair for CACM's Viewpoints section. Her recognitions include inaugural membership in the Purdue University Book of Great Teachers, a 2003 Outstanding Engineering Alumni Award from Pennsylvania State University, and 2004 TechPoint Mira Education Award Winner. Selected PublicationsS.E. Hambrusch, C.-M. Liu, and S. Prabhakar, "Broadcasting and Querying Multi-dimensional Index Trees in a Multi-channel environment", Information Systems, Vol. 31, pp 870-886, 2006Sarvjeet Singh, Chris Mayfield, Sunil Prabhakar, Rahul Shah, Susanne E. Hambrusch, "Indexing Uncertain Categorical Data,", 23rd IEEE International Conference on Data Engineering (ICDE 2007), 2007Aman Yadav, Ninger Zhou, Chris Mayfield, Susanne Hambrusch, J.T. Korb, "Introducing Computational Thinking in Education Courses", 42nd ACM Technical Symposium on Computer Science Education, 465-470, 2011. diff --git a/src/data/compiled_bios/1294.txt b/src/data/compiled_bios/1294.txt new file mode 100644 index 0000000000..9b6726d0b4 --- /dev/null +++ b/src/data/compiled_bios/1294.txt @@ -0,0 +1 @@ +Christoph M. Hoffmann Professor of Computer Science Codirector, PLM Center of Excellence Joined department: Fall 1976 EducationPhD, University of Wisconsin, (1974) Before joining the Purdue faculty, Professor Hoffmann taught at the University of Waterloo, Canada. He has also been a visiting professor at the Christian-Albrechts University in Kiel, West Germany (1980), and at Cornell University (1984-1986). His research focuses on geometric and solid modeling, its applications to manufacturing and science, and the simulation of physical systems. The research includes, in particular, research on geometric constraint solving and the semantics of generative, feature-based design. Professor Hoffmann is the author of Group-Theoretic Algorithms and Graph Isomorphism, Lecture Notes in Computer Science, 136, Springer-Verlag and of Geometric and Solid Modeling: An Introduction, published by Morgan Kaufmann, Inc. Professor Hoffmann has received national media attention for his work simulating the 9/11 attacks on the Pentagon and the World Trade Center. Selected PublicationsS.-C. Chiang, C. Hoffmann, and P. Rosen, "Hardware Assist for Constrained Circle Constructions I: Sequential Problems", CAD&A 7(1), 17-33, 2010S.-C. Chiang, C. Hoffmann, and P. Rosen, "Hardware Assist for Constrained Circle Constructions II: Cluster Merging Problems", CAD&A 7(1), 33-44, 2010S. D. Kim, C. Hoffmann, J. M. Lee, "An Experiment in Rule-based Crowd Behavior for Intelligent Games", Proc. ICCIT09, Seoul, Korea, November 2009Solid Modeling. Chapter 59 in Handbook of Discrete and Computational Geometry, 3rd edition, 2017. With V. Shapiro. "Slice coherence in a query-based architecture for 3D heterogeneous printing," U. Yaman, N. Butt, E. Sacks, C. Hoffmann, Computer Aided Design 75-76, June 2016, 27-38. diff --git a/src/data/compiled_bios/1295.txt b/src/data/compiled_bios/1295.txt new file mode 100644 index 0000000000..5d62edc93c --- /dev/null +++ b/src/data/compiled_bios/1295.txt @@ -0,0 +1 @@ +Jean Honorio Assistant Professor of Computer Science Assistant Professor of Statistics (courtesy)Joined department: Fall 2015 diff --git a/src/data/compiled_bios/1296.txt b/src/data/compiled_bios/1296.txt new file mode 100644 index 0000000000..e58411f7d1 --- /dev/null +++ b/src/data/compiled_bios/1296.txt @@ -0,0 +1 @@ +Suresh Jagannathan Samuel D. Conte Professor of Computer Science Professor of Electrical and Computer Engineering (courtesy)Joined department: 2002 EducationBS, State University of New York at Stony Brook, Computer Science (1982) MS, Massachusetts Institute of Technology, Electrical Engineering and Computer Science (1985) PhD, Massachusetts Institute of Technology, Electrical Engineering and Computer Science (1989) Professor Jagannathan is interested in the semantics and implementation of high-level programming languages. His work focusses on formal methods for describing and implementing such languages, e.g., type theory, program analysis, abstract interpretation, etc., as well as compiler and runtime techniques that leverage such analyses. He also has an active interest in the specification, verification, and implementation of concurrent and distributed systems. Much of this work involves exploring the role of verification techniques to enable sound program optimizations for concurrent programs. Certified compilation of expressive concurrent languages is another subject being actively pursued. An important sub-topic is the definition of expressive memory models that define visibility and consistency guarantees on shared data accesses. Lifting processor-defined memory consistency properties to inform compilation and language specification is an important focus area. Selected PublicationsMatko Botincan, Mike Dodds, Suresh Jagannathan, "Resource-Sensitive Synchronization Inference by Abduction", ACM Symposium on Principles of Programming Languages (2012)Lukasz Ziarek, KC Sivaramakrishnan, Suresh Jagannathan, "Composable Asynchronous Events", ACM Conference on Programming Language Design and Implementation (2011)Jaroslav Sevcik, Victor Vafeiadis, Francesco Zappa-Nardelli, Suresh Jagannathan, Peter Sewell, "Relaxed Memory Concurrency and Verifying Compilation", ACM Symposium on Principles of Programming Languages (2011) diff --git a/src/data/compiled_bios/1297.txt b/src/data/compiled_bios/1297.txt new file mode 100644 index 0000000000..ae7025c85f --- /dev/null +++ b/src/data/compiled_bios/1297.txt @@ -0,0 +1 @@ +Aniket Kate Assistant Professor of Computer Science Joined department: Fall 2015 Aniket Kate is an applied cryptographer and a privacy researcher. His research builds on and expands applied cryptography, distributed computing, and data-driven analysis toward developing and analyzing robust systems for privacy and (distributed) trust. His current research projects focuses on communication freedom and distributed ledger (or blockchain) protocols. In particular, his group designs and analyzes efficient, provably secure cryptographic solutions for anonymous communication, and formalizes and realizes privacy and censorship-resistance for the emerging communication modalities; they enhance security, privacy, and reliability of distributed ledgers and communication across dissimilar ledgers, and devise their novel crypto-economic applications to the financial world, supply chains and beyond. Selected PublicationsDebajyoti Das, Sebastian Meiser, Esfandiar Mohammadi, and Aniket Kate: Anonymity Trilemma: Strong Anonymity, Low Bandwidth, Low Latency---Choose Two. IEEE Symposium on Security and Privacy (Oakland), 2018. Pedro Moreno-Sanchez, Navin Modi, Raghuvir Songhela, Aniket Kate, and Sonia Fahmy: Mind Your Credit: Assessing the Health of the Ripple Credit Network. To appear at WWW, 2018. Giulio Malavolta, Pedro Moreno-Sanchez, Aniket Kate, Matteo Maffei: SilentWhispers: Enforcing Security and Privacy in Decentralized Credit Networks. NDSS 2017 Tim Ruffing, Aniket Kate, and Dominique Schroeder: Liar, Liar, Coins on Fire! -- Penalizing Equivocation By Loss of Bitcoins. 22nd ACM Conference on Computer and Communications Security (CCS 2015), October 2015. Michael Backes, Aniket Kate, Matteo Maffei, Kim Pecina: ObliviAd: Provably Secure and Practical Online Behavioral Advertising. IEEE Symposium on Security and Privacy (Oakland) 2012: 257-271 diff --git a/src/data/compiled_bios/1298.txt b/src/data/compiled_bios/1298.txt new file mode 100644 index 0000000000..2c849b22ce --- /dev/null +++ b/src/data/compiled_bios/1298.txt @@ -0,0 +1 @@ +Majid Kazemian Assistant Professor of Computer Science Assistant Professor of Biochemisty Joined department: Spring 2017 EducationPhD, University of Illinois at Urbana-Champaign, Computer Science (2012) Postdoctoral researcher, National Institutes of Health, Computational Biology/Immunology (2016) Dr. Kazemian research interests span the areas of computational biology and immunology. His lab focuses on acquiring and utilizing large amounts of high throughput sequencing data (e.g. RNA-seq, ChIP-seq, Exome-seq, etc) to answer biological questions regarding the regulation of human diseases. Selected PublicationsM. Kazemian, M. Ren, J. Lin, W. Liao, R. Spolski, W. J. Leonard, Comprehensive assembly of novel transcripts from unmapped human RNA-Sequencing data and their association with cancer, Molecular Systems Biology 11 (8), 826, (2015).M. Kazemian, W.J. Leonard, Possible HPV38 contamination of endometrial cancer RNA-Seq samples in The Cancer Genome Atlas database, J. Virology, doi: 10.1128/JVI.00822-15, (2015).EE West, R. Spolski, M. Kazemian, C. Kemper, W. J. Leonard, TSLP acts on neutrophils to drive complement-mediated killing of methicillin-resistant Staphylococcus aureus, Science Immunology, 2016M. Kazemian, Hannah Pham, M. Brodsky, S. Sinha, Widespread and distinct sequence signatures of combinatorial transcriptional regulation, Nucleic Acids Research, doi: 10.1093/nar/gkt598, (2013).M. Kazemian, K. Suryamohan, J. Chen, Y. Zhang, Md. A. H. Samee, M. S. Halfon, S. Sinha, Evidence for deep regulatory similarities in early developmental programs across highly diverged insects. Genome Biology and Evolution. 6 (9): 2301-2320. doi: 10.1093/gbe/evu184, (2014). diff --git a/src/data/compiled_bios/1299.txt b/src/data/compiled_bios/1299.txt new file mode 100644 index 0000000000..134ce93a7f --- /dev/null +++ b/src/data/compiled_bios/1299.txt @@ -0,0 +1 @@ +Daisuke Kihara Professor of Biological Sciences Professor of Computer Science Joined department: 2003 EducationBS, University of Tokyo, Biochemistry (1994) MS, Kyoto University, Bioinformatics (1996) PhD, Kyoto University, Bioinformatics (1999) Dr. Kihara's research interest is in the area of bioinformatics. In the last decade, a large amount of biological data, such as genome/protein sequences, protein 3D structures, and pathway data have become available. This data now enables us to employ comprehensive analysis of relationship between protein sequence, structure and function, interactions, evolution of protein families, pathways, and organisms. Especially, he is focusing on developing computational methods to predict and analyze protein structure/function, protein-protein docking, pathway structure, and their applications in genome-scale or pathway/network scale. He has worked recently on protein structure prediction, protein global/local shape comparison, development of prediction method of transmembrane proteins, and its application to genome sequences. Selected PublicationsAbram Magner, Wojciech Szpankowski, & Daisuke Kihara, "On the origin of protein superfamilies and superfolds.", Scientific Reports, 5: 8166 (2015)Yue Liu, Ju Sheng, Andrei Fokine, Geng, Meng, Woong-Hee Shin, Feng, Long, Richard J. Kuhn, Daisuke Kihara, & Michael G. Rossmann, "Structure and inhibition of EV-D68, a virus that causes respiratory illness in children.", Science, 347: 71-74 (2015)Xiaolei Zhu, Yi Xiong, & Daisuke Kihara, "Large-scale binding ligand prediction by improved patch-based method Patch-Surfer2.0.", Bioinformatics, 31: 707-713 (2015) diff --git a/src/data/compiled_bios/13.txt b/src/data/compiled_bios/13.txt new file mode 100644 index 0000000000..44479d80ec --- /dev/null +++ b/src/data/compiled_bios/13.txt @@ -0,0 +1 @@ + Geoffrey Werner Challen Teaching Associate Professor 2227 Siebel Center for Comp Sci 201 N. Goodwin Ave. Urbana Illinois 61801 (217) 300-6150 challen@illinois.edu : Primary Research Area CS Education Research Areas CS Education For more information blue Systems Research Group (Defunct) Internet Class: Learn About the Internet on the Internet OPS Class: Learn Operating Systems Online CS 125 Home Page Education Ph.D. Computer Science, Harvard University, 2010 AB Physics, Harvard University, 2003 Academic Positions Associate Teaching Professor, University of Illinois, 2017 . Primary Research Area CS Education Research Areas CS Education For more information blue Systems Research Group (Defunct) Internet Class: Learn About the Internet on the Internet OPS Class: Learn Operating Systems Online CS 125 Home Page . . For more information blue Systems Research Group (Defunct) Internet Class: Learn About the Internet on the Internet OPS Class: Learn Operating Systems Online CS 125 Home Page . diff --git a/src/data/compiled_bios/130.txt b/src/data/compiled_bios/130.txt new file mode 100644 index 0000000000..2cae74429c --- /dev/null +++ b/src/data/compiled_bios/130.txt @@ -0,0 +1 @@ + Daniel A. Spielman I am a Sterling Professor of Computer Science and a Professor Statistics and Data Science and of Mathematics at Yale University . This year I am the acting chair of The Department of Statistics and Data Science . Look here for more information about the major in Statistics and Data Science , or contact the DUS, Sekhar Tatikonda . I am co-Director of the Yale Institute for Network Science (YINS) . I am a Simons Investigator and a MacArthur Fellow . I am a member of the ACM , AMS , IEEE , SIAM , the National Academy of Sciences , and the CT Academy of Science and Engineering . My papers, sorted by Year or sorted by Subject . My CV , a short bio , and photographs of me . Descriptions of my research Slides from and videos of my talks My courses Software by my group My students Professional activities (a few things I've organized) Laplacian linear equations, sparsification local graph clustering, low-stretch spanning trees, and so on . Internships and opportunities to work with me. Contact information Descriptions of my research The following are some articles and citations that describe important parts of my research. 'Outsiders' Crack 50-Year-Old Math Problem , an article by Erica Klerreich from Quanta Magazine about the solution of the Kadison-Singer Problem. Network Solutions , an article by Erica Klarreich for the Simons Foundation about work in which my community is involved. Gil Kalai's laudation for my Nevanlinnna Prize. An article about by research by Michel Goemans and Jonathan Kelner . An article for SIAM News by Dana Mackenzie about my research on the Kadison-Singer Problem . The citation for the 2008 Godel Prize. The citation for the 2015 Godel Prize. The article "Smoothed Move" by Barry Cipra in What's Happening in the Mathematical Sciences, Volume 6 , an article about Smoothed Analysis. The article "The Kadison-Singer Problem: A Fine Balance" by Dana Mackenzie in What's Happening in the Mathematical Sciences, Volume 10 . Slides from and videos of some talks Spectral Graph Theory and its Applications , a tutorial I gave at FOCS 2007. My talk from ICM 2010: slides , video , paper , opening ceremony . The Blyth Memorial Lectures at Toronto on Laplacian Matrices of Graphs: Applications (9/28/11) , Computations (9/29/11) , and Approximations (9/30/11) . Spectral and Electrical Graph Theory (given at the Caesarea Rothschild Institute, Haifa, May 17, 2011. Spectral Sparsification of Graphs (as given at the Weizmann Institute on May 15, 2011). A video of me giving a related talk at MSR NE FOCS 2010 EPFL Sparsification Talk , from the June 2012 Algorithmic Frontiers Workshop. The Erdos Lectures at Hebrew University (2014). 1. Kadison-Singer , 2. Sparsification of Graphs and Matrices , 3. Ramanujan Graphs of Every Degree. Slides from my Hamilton Day Lecture , in Powerpoint (recommended) or PDF . Slides from the 2016 Josiah Willard Gibbs Lecture at the Joint Mathematics Meeting , in Powerpoint (recommended) or PDF . Slides from my plenary talk at ICML 2016 in Powerpoint (recommended) or PDF . Slides from my plenary talk at ISIT 2016 in Powerpoint (recommended) or PDF . My Courses Spectral Graph Theory (Fall 2018), (Fall 2015), (Fall 2012), (Fall 2009) . Due to my responsibilities as chair of S&DS, I will not be teaching in the Spring of 2019. CPSC 366: Intensive Algorithms (Spring 2018) CPSC 365: Design and Analysis of Algorithms (Spring 2017) AMTH/CPSC/STAT 262: Computational Tools for Data Science (Fall 2016) AMTH/CPSC 462/562: Graphs and Networks (Fall 2013), (Fall 2010), (Fall 2007), (Fall 2006). Spectral Graph Theory and its Applications (Fall 2004) Error-Correcting Codes Laboratory (MIT) Eigenvalues of Graphs with Applications (MIT) The Behavior of Algorithms (MIT) Advanced Complexity Theory (MIT) Applied Extremal Combinatorics (MIT) Software by my group Laplacians.jl a Julia package for solving problems related to Laplacian matrices and for generating interesting problem instances. It contains good code for solving Laplacian linear equations, computing low-stretch spanning trees, and generating interesting graphs (the Chimera generator). YINSlex The code used in the experiments from the paper Algorithms for Lipschitz Learning on Graphs Isotonic An interior point method for isotonic regression. Based on the paper Fast, Provable Algorithms for Isotonic Regression in all l_p-norms . Laplacians.jl contains a variant of this code. My students Adam Klivans (Ph.D. 2002) , Louay Bazzi (Ph.D. 2003) Mohammad Mahdian (Ph.D. 2004) , Arvind Sankar (Ph.D. 2004) Jon Kelner (Ph.D. 2006) , Amit Desphande (Ph.D. 2007) Samuel Daitch, (Ph.D. 2010), Nikhil Srivastava (Ph.D. 2010) Huan Wang (Ph.D. 2013) Anup Rao (Ph.D. 2015) . Rasmus Kyng (Ph.D. 2017) . Chris Harshaw (Current) Professional activities (a few things I've organized) MSRI Hot Topic Workshop: Kadison-Singer, Interlacing Polynomials, and Beyond Simons Institute Workshop: Fast Algorithms via Spectral Methods Program Chair of FOCS 2009 Internships and opportunities to work with me. Except in extremely unusual situations, I do not take interns who are not Yale students. Photographs of me Photographs of me may be found at my MacArthur Foundation page, here , here , and here . Contact information Address: PO Box 208263 17 Hillhouse Ave, Room 340 New Haven, CT 06520-8263 phone: (203) 436-1264 fax: (203) 432-0593 Email: lastname at cs dot yale dot edu diff --git a/src/data/compiled_bios/1300.txt b/src/data/compiled_bios/1300.txt new file mode 100644 index 0000000000..e06f672f20 --- /dev/null +++ b/src/data/compiled_bios/1300.txt @@ -0,0 +1 @@ +Byoungyoung Lee Assistant Professor of Computer ScienceJoined department: Fall 2016 Byoungyoung Lee is an Assistant Professor in the Department of Computer Science at Purdue University. His research is in the general area of computer security and privacy. In particular, his focus is in systems security, designing and implementing secure systems through analyzing and eliminating vulnerabilities. His research identified and helped to fix more than 100 security vulnerabilities in the major software including the Linux Kernel, Chrome, Firefox, and Safari. He received the Internet Defense Prize by Facebook and USENIX and the best applied security research paper (the 3rd place) by CSAW. Selected PublicationsB. Lee, C. Song, T. Kim, W. Lee, "Type Casting Verification: Stopping an Emerging Attack Vector", USENIX Security Symposium (Security) 2015 C. Min, S. Kashyap, B. Lee, C. Song, T. Kim, "Cross-checking Semantic Correctness: The Case of Finding File System Bugs", ACM Symposium on Operating Systems Principles (SOSP) 2015 B. Lee, L. Lu, T. Wang, T. Kim, W. Lee, "From Zygote to Morula: Fortifying weakened ASLR on Android", IEEE Symposium on Security and Privacy (Oakland) 2014 diff --git a/src/data/compiled_bios/1301.txt b/src/data/compiled_bios/1301.txt new file mode 100644 index 0000000000..746af70aa8 --- /dev/null +++ b/src/data/compiled_bios/1301.txt @@ -0,0 +1 @@ +Ninghui Li Professor of Computer Science Joined department: 2003 EducationPhD, New York University, Computer Science (2000) MS, New York University, Computer Science (1998) BS, University of Science and Technology of China, Computer Science (1993) Ninghui Li is a Professor of Computer Science at Purdue University. He has been doing research in security and privacy, including data privacy, applied cryptography, access control, trust management, and human factors in security and privacy. He has published over 150 referred papers in these areas. His 2007 paper ``t-Closeness: Privacy Beyond k-Anonymity and l-Diversity'' recently received the ICDE 2017 Influential Paper award. Prof. Li was elected Chair of ACM Special Interest Group on Security, Audit and Control (SIGSAC) in 2017. From 2013 to 2017, he served as SIGSAC's Vice Chair. He is on the editorial boards of ACM Transactions on Privacy and Security (TOPS), Journal of Computer Security (JCS), and ACM Transactions on Internet Technology (TOIT); and was on the editorial board of IEEE Transactions on Dependable and Secure Computing (TDSC) from 2011 to 2015 and the VLDB Journal from 2007 to 2013. Prof. Li has served on the Program Committees of over 150 international conferences and workshops in computer security, databases, and data mining. In 2014 and 2015, he has served as the Program Chair for ACM Conference on Computer and Communications Security (CCS), ACM's flagship conference in the field of security and privacy. Prof. Li's research has been supported by multiple NSF grants, including an NSF CAREER award in 2005. His research has also been supported by Air Force Office of Scientific Research (AFOSR), Army Research Office (ARO), National Security Agency (NSA), IBM Research, Google, and Samsung. He collaborated with Dr. Bertino on NSF and AFOSR funded projects. Selected PublicationsNinghui Li, Wahbeh H. Qardaji, Dong Su, Yi Wu, Weining Yang, "Membership privacy: a unifying framework for privacy definitions", ACM Conference on Computer and Communications Security 2013: 889-900Ziqing Mao, Ninghui Li, Hong Chen, Xuxian Jiang, "Combining Discretionary Policy with Mandatory Information Flow in Operating Systems", ACM Trans. Inf. Syst. Secur., 14(3): 24 (2011)Ninghui Li, John C. Mitchell, and William H. Winsborough, "Beyond Proof-of-compliance: Security Analysis in Trust Management", Journal of the ACM, 52(3):474--514, May 2005Ninghui Li, Tiancheng Li, and Suresh Venkatasubramanian. t-Closeness: Privacy Beyond k-Anonymity and l-Diversity. ICDE 2017. diff --git a/src/data/compiled_bios/1302.txt b/src/data/compiled_bios/1302.txt new file mode 100644 index 0000000000..98ddf33314 --- /dev/null +++ b/src/data/compiled_bios/1302.txt @@ -0,0 +1 @@ +Zhiyuan Li Professor of Computer Science Professor of Electrical and Computer Engineering (courtesy)Joined department: 1997 EducationBS, Xiamen University, Mathematics (1982) MS, University of Illinois at Urbana-Champaign, Computer Sciences (1985) PhD, University of Illinois at Urbana-Champaign, Computer Sciences (1989) Zhiyuan Li has conducted many years' research on compiler techniques for parallel processing and locality enhancement. Recent focus of his group in this area is on programming interfaces and compiler support for the development of innovative parallel software, targeting both large scale high-end systems and multicore microprocessor chips. In recent years, his group has also designed and implemented compiler-based programming environments and run-time systems for resource-constrained distributed systems such as mobile devices, embedded systems and wireless sensor networks, improving their energy efficiency, reliability and maintainability. Li received a National Science Foundation Research Initiation Award and a National Science Foundation Career Award in 1992 and 1995, respectively. He was named by Purdue University as a University Faculty Scholar for the years of 2005-2010. Li has served as a program committee member for many international conferences sponsored by IEEE and ACM. He is Program Chair for ACM SIGPLAN/SIGBEG Conference on Languages, Compilers, and Tools for Embedded Systems (LCTES) in 2007. He co-chaired the International Workshop on Languages and Compilers for Parallel Computing in the years of 1997 and 2004 respectively. Selected PublicationsZ. Li et al., "Dependence-based multilevel tracing and replay for wireless sensor networks debugging", in ACM SIGPLAN/SIGBED Conference on LCTES,, Chicago, IL, 2011.Z. Li et al., "Reducing communication overhead in large eddy simulation of jet engine noise", in IEEE Cluster 2010,, Heraklion, Greece, 2010.L. Liu and Z. Li, "A compiler-automated array compression scheme for optimizing memory intensive programs", in 24th ACM ICS,, Epochal Tsukuba, Japan, 2010. diff --git a/src/data/compiled_bios/1303.txt b/src/data/compiled_bios/1303.txt new file mode 100644 index 0000000000..c848f12951 --- /dev/null +++ b/src/data/compiled_bios/1303.txt @@ -0,0 +1 @@ +Hemanta K. Maji Assistant Professor of Computer Science Joined department: Fall 2015 diff --git a/src/data/compiled_bios/1304.txt b/src/data/compiled_bios/1304.txt new file mode 100644 index 0000000000..3b9a6afae3 --- /dev/null +++ b/src/data/compiled_bios/1304.txt @@ -0,0 +1 @@ +Aditya P. Mathur Professor of Computer Science Joined department: 1987 EducationBE (Hons), Birla Institute of Technology and Science, Electrical Engineering (1970) MS, Birla Institute of Technology and Science, Electrical Engineering (1972) PhD, Birla Institute of Technology and Science, Computer Science (1977) Aditya Mathur's research and development activities span the areas of software testing, reliability, formal approaches for software process control, information retrieval, and the design of secure critical infrastructure including water and power plants. Software testing and reliability: Mathur has been a crusader for the use of code coverage criteria in the estimation of software reliability or as an orthogonal metric to assess confidence in the reliability estimates. He has proposed the "Saturation Effect" as a motivating device, and as a fundamental principle, for the quantitative test assessment using an increasingly powerful suite of criteria. This device is often used by vendors to enhance marketing of their test tools. Mathur, in collaboration with Raymond DeCarlo, has pioneered research into the use of feedback control in software development. This research has led to the development of a new area now known as Software Cybernetics. Information retrieval: Mathur, in collaboration with Luo Si's research group and IT specialist Jason Fish, is the prime architect of the INDURE expertise search system. This system is in use at four universities in the state of Indiana and serves as a model for expertise search systems under development in other states. Design of secure Critical Infrastructure: Mathur has led the establishment of one-of-a-kind set of testbeds to support research in the design of Critical Infrastructure including those for water treatment, water distribution, and electric power. These testbeds have served as a significant component in Mathur's work with his graduate students and research staff. This work has led to mechanisms for detecting process anomalies caused by cyber-physical attacks. These mechanisms have been successfully demonstrated on fully operational and realistic testbeds. Books: Mathur has authored several textbooks. His most well known book "Introduction to Microprocessors" was first published in 1980 by Tata McGraw Hill. This book, the first on the subject in India, and one of the earliest in the world, led to the initiation and subsequent proliferation of undergraduate courses in microprocessors. The third edition of this book was released in 1989 and is now in its 36th reprint. His book titled``Foundations of Software Testing" was published by Addison Wesley Professional in 2008 and its second edition was released in 2013. In collaboration with Barry Wittmann and Tim Korb, Mathur has coauthored"Start Concurrent: An Introduction to Problem Solving in Java with a Focus on Concurrency."This book is intended to serve as a text in freshman programming courses. Selected PublicationsSiddhant Shrivastava,Sridhar Adepu, and Aditya Mathur. "Design and Assessment of an Orthogonal Defense Mechanism for a Water Treatment Facility," Robotics and Autonomous Systems, Volume 101, March 2018, Pages 114-125Qin Lin, Sridhar Adepu, Sicco Verwer, and Aditya Mathur. TABOR: A Graphical Framework for Anomaly Detection in Industrial Control Systems, Proceedings of the 2018 on Asia Conference on Computer and Communications Security, Incheon, Republic of Korea, June 2018, pages 525-536.Sridhar Adepu and Aditya Mathur. "DistributedAttackDetectionin aWaterTreatmentPlant:MethodandCaseStudy", IEEE Transactions on Dependable and Secure Computing, October 2018 [Early access]Aditya Mathur and Nils Tippenhauer. A Water Treatment Testbed for Research and Training on ICS Security, Proceedings of the 2nd International Workshop on Cyber-Physical Systems for Smart Water Networks, CPS Week, Vienna, Austria, April 2016.Jonathan Goh, Sridhar Adepu, Khurum Nazir Junejo, and Aditya Mathur. A dataset to support research in the design of secure water treatment systems, Proceedings of the 11th International Conference on Critical Information Infrastructures Security, October 10--12, 2016, Paris, France. diff --git a/src/data/compiled_bios/1305.txt b/src/data/compiled_bios/1305.txt new file mode 100644 index 0000000000..3fa80cff48 --- /dev/null +++ b/src/data/compiled_bios/1305.txt @@ -0,0 +1 @@ +Jennifer Neville Miller Family Associate Professor of Computer Science Associate Professor of Statistics Joined department: Fall 2006 EducationBS, University of Massachusetts Amherst, Computer Science (2000) MS, University of Massachusetts Amherst, Computer Science (2004) PhD, University of Massachusetts Amherst, Computer Science (2006) Professor Neville's research focuses on data mining and machine learning techniques for relational data. In relational domains such as social network analysis, citation analysis, epidemiology, fraud detection, and web analytics, there is often limited information about any one entity in isolation, instead it is the connections among entities that are of crucial importance to pattern discovery. Relational data mining techniques move beyond the conventional analysis of entities in isolation to analyze networks of interconnected entities, exploiting the connections among entities to improve both descriptive and predictive models. Professor Neville's research interests lie in the development and analysis of relational learning algorithms and the application of those algorithms to real-world tasks. Selected PublicationsH. Eldardiry and J. Neville, "Across-Model Collective Ensemble Classification", Proceedings of the 25th Conference on Artificial Intelligence (AAAI), 2011A. Kuwadekar and J. Neville, "Relational Active Learning for Joint Collective Classification Models", Proceedings of the 28th International Conference on Machine Learning (ICML), 2011R. Xiang and J. Neville, "Relational Learning with One Network: An Asymptotic Analysis", Proceedings of the 14th International Conference on Artificial Intelligence and Statistics (AISTAT), 2011 diff --git a/src/data/compiled_bios/1306.txt b/src/data/compiled_bios/1306.txt new file mode 100644 index 0000000000..b4166074c5 --- /dev/null +++ b/src/data/compiled_bios/1306.txt @@ -0,0 +1 @@ +Kihong Park Associate Professor of Computer Science Joined department: 1996 EducationBA, Seoul National University, Management (1988) MS, University of South Carolina, Computer Science (1990) PhD, Boston University, Computer Science (1996) Prof. Park's research centers on design and control issues in high-speed multimedia networks including deployable IP QoS, scalable network security, and robust distributed systems. He has published in major networking venues including ACM SIGCOMM, ACM SIGMETRICS, IEEE ICNP, and IEEE INFOCOM, and has edited two books "Self-Similar Network Traffic and Performance Evaluation" (Wiley-Interscience 2000) and "The Internet as a Large-Scale Complex System" (Oxford University Press 2005) with Walter Willinger at AT&T Research. His doctoral thesis, "Ergodicity and mixing rate of one-dimensional cellular automata" (advisor: Peter Gacs), was on a problem in probability theory going back to von Neumann, with applications to fault-tolerance in large-scale systems. Prof. Park was a Presidential University Fellow at Boston University, a recipient of the NSF CAREER Award, a Fellow-at-Large of the Santa Fe Institute, and served on several international program committees and government panels. He was chair of the NSF/SFI Workshop on The Internet as a Large-Scale Complex System, held at the Santa Fe Institute in March 2001. He served on the editorial boards of IEEE Communications Letters and Computer Networks. His research has been supported by grants from government and industry including Army, DARPA, ETRI, Intel, NSF, SFI, Sprint, and Xerox. Selected PublicationsS. Choi, K. Park and C. Kim, "On the Performance Characteristics of WLANs: Revisited", Proceedings of the ACM SIGMETRICS 2005, pp. 97-108, 2005A. Lomonosov, M. Sitharam and K. Park, "Network QoS Games: Stability vs Optimality Tradeoff", Journal of Computer and System Sciences, Volume 69, pp. 281-302, 2004K. Park and W. Willinger (eds.), "The Internet as a Large-Scale Complex System", SFI Studies in the Sciences of Complexity, Oxford University Press, 2005 diff --git a/src/data/compiled_bios/1307.txt b/src/data/compiled_bios/1307.txt new file mode 100644 index 0000000000..7e72e57c87 --- /dev/null +++ b/src/data/compiled_bios/1307.txt @@ -0,0 +1 @@ +Mathias Payer Assistant Professor of Computer Science Joined department: Fall 2014 Mathias Payer is a security researcher and an assistant professor in computer science at Purdue university leading the HexHive group. His interests are related to system security, binary exploitation, user-space software-based fault isolation, binary translation/recompilation, and (application) virtualization. His research focuses on protecting applications even in the presence of vulnerabilities, with a focus on memory corruption. Before joining Purdue in 2014 he spent two years as PostDoc in Dawn Song's BitBlaze group at UC Berkeley. He graduated from ETH Zurich with a Dr. sc. ETH in 2012. The topic of his thesis is related to low-level binary translation and security. He analyzed different exploit techniques and wondered how we can enforce integrity for a subset of data (e.g., code pointers). All prototype implementations are open-source. In 2014, he started the b01lers Purdue CTF team . Some of his random ramblings on security-related topics are published on a security blog . You can find his publications under Publications or on Google scholar . His Curriculum Vitae is available as well. diff --git a/src/data/compiled_bios/1308.txt b/src/data/compiled_bios/1308.txt new file mode 100644 index 0000000000..f41ec4214a --- /dev/null +++ b/src/data/compiled_bios/1308.txt @@ -0,0 +1 @@ +Chunyi Peng Assistant Professor of Computer Science Joined department: Fall 2017 EducationPh.D, University of California, Los Angeles, Computer Science (2013) Chunyi Peng's research interests are in the broad areas of mobile networking, system and security, with a recent focus on 4G/5G mobile network architecture, protocols, and technologies for emerging/demanding applications, mobile network/system security, network data analytics, and mobile sensing and computing systems. Selected PublicationsA Control-Plane Perspective on Reducing Data Access Latency in LTE Networks, Yuanjie Li, Zengwen Yuan and Chunyi Peng, Proceeding of the 23rd Annual International Conference on Mobile Computing and Networking (MobiCom'17), Snowbird, Utah, USA, Oct 2017.MobileInsight: Extracting and Analyzing Cellular Network Information on Smartphones, Yuanjie Li, Chunyi Peng, Zengwen Yuan, Jiayao Li, Haotian Deng and Tao Wang. Proceeding of the 22nd Annual International Conference on Mobile Computing and Networking (MobiCom'16), New York, USA, Oct. 2016. Instability in Distributed Mobility Management: Revisiting Configuration Management in 3G/4G Mobile Networks, Yuanjie Li, Haotian Deng, Jiayao Li, Chunyi Peng and Songwu Lu. Proceedings of the 2016 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Science (SIGMETRICS'16), Antibes Juan-Les-Pins, France, June 2016.iCellular: Define Your Own Cellular Network Access on Commodity Smartphones, Yuanjie Li, Haotian Deng, Chunyi Peng, Guan-Hua Tu, Jiayao Li, Zengwen Yuan, and Songwu Lu. Proceeding of the 13th USENIX Symposium on Networked Systems Design and Implementation (NSDI'16), Santa Clara, CA, March 2016.Real Threats to Your Data Bills: Security Loopholes and Defense in Mobile Data Charging, Chunyi Peng, Chiyu Li, Hongyi Wang, Guanhua Tu, and Songwu Lu. Proceedings of the 21st ACM Conference on Computer and Communications Security (CCS'14), Scottsdale, Arizona, Nov. 2014. diff --git a/src/data/compiled_bios/1309.txt b/src/data/compiled_bios/1309.txt new file mode 100644 index 0000000000..a3d28b86cd --- /dev/null +++ b/src/data/compiled_bios/1309.txt @@ -0,0 +1 @@ +Voicu S. Popescu Associate Professor of Computer Science Joined department: 2001 EducationBS, University of Cluj-Napoca, Romania, Computer Science (1995) MS, University of North Carolina, Computer Science (1999) PhD, University of North Carolina, Computer Science (2001) Professor Popescu's research interests span the areas of computer graphics, visualization, and computer vision. His current research projects develop novel camera models for efficient and effective rendering of complex visual effects, a system for rapid photorealistic 3D modeling of large-scale real-world environments, a system that aims to make distance education an integral but unobtrusive part of on-campus education, and a method for high-fidelity general-purpose-visualization of large-scale computer simulations. Selected PublicationsVoicu Popescu, Christoph Hoffmann, Sami Kilic, and Mete Sozen, "Producing High-Quality Visualizations ofLarge-ScaleSimulations", IEEE Visualization Conference, 575-581, 2003Cui, Paul Rosen, Voicu Popescu, and Christoph Hoffmann, "A Curved Ray Camera for HandlingOcclusionsthroughContinuousMultiperspective Visualization", Transactions on Visualization andComputerGraphics, vol. 16, no. 6, November/December 2010, pp. 1235-1242.Presented at IEEE Visualization 2010Voicu Popescu, Paul Rosen, Laura Arns, ChrisWyman,XavierTricoche, Tion Thomas, Christoph Hoffmann, "The General Pinhole Camera", IEEE Transactions on VisualizationandComputerGraphics, vol. 16, no. 5, September/October 2010, pp. 777-790 diff --git a/src/data/compiled_bios/131.txt b/src/data/compiled_bios/131.txt new file mode 100644 index 0000000000..3be5ba9002 --- /dev/null +++ b/src/data/compiled_bios/131.txt @@ -0,0 +1 @@ + MARYNEL VZQUEZ marynel.vazquez \at\ yale.edu Assistant Professor Yale Computer Science MAIN PUBLICATIONS OPEN POSITIONS TEACHING JackRabbot at BAVM17. Chester, the furniture robot, orchestrates a game of Mafia [HRI'15]. 3D printed pneumatic device control [CHI'15]. Brainstorming session with our furniture robot [HRI'17]. I am a computer scientist and roboticist by training. The goal of my research is to understand how we can build interactive computing technologies that are meaningful, intuitive, and appropriate for users, especially in complex social environments. My research often crosses the boundaries between Human-Robot and Human-Computer Interaction, and combines elements from robotics, social science, and design. I am looking for for highly motivated students to join my group at Yale . If you are interested in working with me on enabling multi-party human-robot interactions, please read this note about open positions at Yale before contacting me. Before joining Yale, I was a Postdoctoral Scholar at the Stanford A.I. Lab with Silvio Savarese . Some of the work that I did at Stanford is described in this GTC'18 presentation by Animesh Garg and I. Prior to Stanford, I completed my M.S. and Ph.D. degrees at the Robotics Institute in Carnegie Mellon University. I was very lucky to work with Disney Research while in Pittsburgh. An updated list of my publications can be found here , and in Google Scholar . The code for some of my projects is also hosted in GitHub . Marynel Vzquez Computer Science Department AKW #402 Yale University News / Upcoming Travel 2018-11-16 HRI PC. Winter storm and fires, but it was great to see everybody. 2018-11-02 Exciting first-time visit to UMass Amherst. 2018-10-30 Xiaoxue and Ashwini present our work on translating natural language at EMNLP'18 this week! 2018-10-27 Happy to participate in the NESS NextGen Data Science Day at Yale. 2018-10-19 Back in Boulder. Amazing NSF ECA-SR Workshop. 2018-10-03 GONet is now being presented at IROS'18 by N. Hirose! 2018-07-01 Official first day at Yale. 2018-01-05 A full paper and a late breaking report accepted at HRI'18! 2017-12-06 Traveling to Montreal for the CHI PC. 2017-11-16 HRI MiniSymposium kicks off. Thanks to everybody at Cornell! 2017-11-07 Exciting visit to NASA Ames. 2017-11-03 JackRabbot at BAVM'17. Great to catch up with CMU folks. 2017-09-27 First time at RoboBusiness. Impressed by Cassie from Agility Robotics. 2017-09-15 Official first day at Stanford. Marynel Vzquez diff --git a/src/data/compiled_bios/1310.txt b/src/data/compiled_bios/1310.txt new file mode 100644 index 0000000000..58bceae733 --- /dev/null +++ b/src/data/compiled_bios/1310.txt @@ -0,0 +1 @@ +Alex Pothen Professor of Computer Science Joined department: Fall 2008 EducationPh.D., Cornell, Appl. Math. and Computer Science (1984) Alex Pothen's research interests are in combinatorial scientific computing (CSC), parallel algorithms, graph algorithms, and bioinformatics. CSC is an interdisciplinary research area where discrete mathematics and algorithms are applied to combinatorial problems from the sciences and engineering. CSC links scientific computing with algorithmic computer science. Alex Pothen, with his colleagues, led the effort to organize the CSC research community in the early 2000's. He was Co-Chair of the first three international workshops in CSC, and serves as the Chair of the CSC Steering Committee. Alex has contributed to several areas in CSC. In Combinatorial Scientific Computing, he has worked on graph matching and matroid theory (sparse bases for the null space, block triangular forms, Dulmage-Mendelsohn decomposition, approximation algorithms for weighted matching, etc.); spectral graph partitioning and locality inducing orderings; reordering chordal graphs for parallel matrix factorizations; partitioning chordal graphs into transitively closed subgraphs to obtain Product Form Inverse representations of triangular matrix factors; etc. In current work, he and his colleagues are developing fast updating algorithms for visualizations in computational surgery and contingency analysis in modeling the electrical power grid, through an augmented matrix approach. In Automatic Differentiation, Alex and his colleagues have developed new formulations and algorithms to color graphs (distance-2 coloring, acyclic coloring, star coloring, and variants). These algorithms make feasible the computation of large, sparse Jacobian and Hessian matrices at a small overhead cost over the computation of the functions involved. The ColPack software makes this work available for users in optimization and other areas. Recently they are developing fast algorithms for Hessian and higher order derivatives via a Live Variables Approach to the Reverse Mode of AD. In Bioinformatics, Alex is developing algorithms for registering and classifying cell populations in Flow Cytometry data to understand the immune system. He has also developed algorithms for identifying functional modules in protein interaction networks, and for identifying biomarkers for lung and prostate cancer from mass spectral data. Alex has mentored sixteen PhD students, six post-doctoral scientists, more than sixty Master's students, and several undergraduate researchers. His advisees hold (or have held) appointments at Washington State University, Penn State, Waterloo, Australian National University, and Drexel; Microsoft, IBM, Oracle, and Conviva Corporation; and Lawrence Berkeley Lab, Lawrence Livermore National Lab, Pacific Northwest National Lab, Argonne National Lab, etc. Alex served as the Director of the Combinatorial Scientific Computing and Petascale Simulations (CSCAPES) Institute, a pioneering research project in CSC funded by the U.S. Department of Energy's Office of Science from 2006-2012. The CSCAPES Institute involved thirty researchers from Purdue, Old Dominion University, Sandia National Labs, Argonne National Lab, Ohio State, and Colorado State. CSCAPES researchers developed computational tools in CSC that enable large-scale computational models in science and engineering on Peta-scale computers. These tools included parallelization and load-balancing software, Automatic Differentiation technology, parallel graph and sparse matrix algorithms, and transformations to improve the memory system performance of sparse computations. Alex is an editor of the Journal of the A.C.M., and various book series and journals of the Society for Industrial and Applied Mathematics: SIAM Books, SIAM Spotlights, SIAM Review, SIAM Journal on Scientific Computing, and SIAM Monographs in Computational Science and Engineering. Selected PublicationsMahantesh Halappanavar, Alex Pothen, Ariful Azad, Fredrik Manne, Johannes Langguth, and Arif M. Khan, Codesign Lessons Learned from Implementing Graph Matching on Multithreaded Architectures, IEEE Computer 48(8): 46--55 (2015)Assefaw Hadish Gebremedhin, Duc C. Nguyen, Md. Mostofa Ali Patwary, and Alex Pothen, ColPack: Software for graph coloring and related problems in scientific computing, ACM Trans. Math. Softw. 40(1): 1:1--1:31 (2013)Bruce Hendrickson and Alex Pothen, Combinatorial Scientific Computing: past successes, current challenges, and future opportunities, Chapter 1 in Combinatorial Scientific Computing, Uwe Naumann and Oalf Schenk (eds.), CRC Press and Chapman and Hall, 2011. diff --git a/src/data/compiled_bios/1311.txt b/src/data/compiled_bios/1311.txt new file mode 100644 index 0000000000..77d04447b5 --- /dev/null +++ b/src/data/compiled_bios/1311.txt @@ -0,0 +1 @@ +Sunil Prabhakar Professor of Computer Science Joined department: Fall 1998 EducationPhD, University of California, Santa Barbara, Computer Science (1998) MS, University of California, Santa Barbara, Computer Science (1998) BTech, Indian Institute of Technology, Electrical Engineering (1990) Dr. Prabhakar's research lies in the area of data management. His current research focuses on developing novel database systems for managing probabilistic (uncertain) data, and ensuring authenticity and integrity of outsourced databases. In earlier work he has addressed performance issues in large-scale, modern database applications such as multimedia, moving-object, and sensor databases. The efficient execution of I/O is a critical problem for these applications. Dr. Prabhakar's interest also lies in the design and development of digital rights management for database using digital watermarking techniques for structured (e.g. relational databases) and semi-structured (e.g., XML) data. Prior to joining Purdue, Dr. Prabhakar held a position with Tata Unisys Ltd. from 1990 to 1994. Selected PublicationsYinian Qi, Rohit Jain, Sarvjeet Singh, Sunil Prabhakar, "Threshold Query Optimization for Uncertain Data", Proc. of the ACM International Conference on Management of Data (SIGMOD), June 2010, Indianapolis, USAChris Mayfield, Jennifer Neville, Sunil Prabhakar, "ERACER: A Database Approach for Statistical Inference and Data Cleaning", Proceedings of the ACM International Conference on Management of Data (SIGMOD), June 2010, Indianapolis, USAWilliam Sumner, Tao Bao, Xiangyu Zhang, Sunil Prabhakar, "Coalescing executions for fast uncertainty analysis", Proceedings of the International Conference on Software Engineering (ICSE), May 2011, Honolulu Hawaii diff --git a/src/data/compiled_bios/1312.txt b/src/data/compiled_bios/1312.txt new file mode 100644 index 0000000000..8c3576b493 --- /dev/null +++ b/src/data/compiled_bios/1312.txt @@ -0,0 +1 @@ +Vernon J. Rego Professor of Computer Science Joined department: 1985 EducationMS, Michigan State University, Computer Science (1982) PhD, Michigan State University, Computer Science (1985) MSc, Birla Institute of Technology and Science, Mathematics (1979) Vernon Rego directs research in the Parallel Computation and Simulation Laboratory (PacsLab) in Purdue's computer sciences department. His research interests include software systems for high-performance distributed computation, network protocols, threads systems, parallel stochastic simulation, computational probability and performance, and software engineering. His current projects include the ACES software architecture for multi-threaded distributed computing and parallel simulation, including the EcliPSe replicated simulation system (for which he was awarded an IEEE/Gordon Bell Prize), the ParaSol process-oriented distributed simulation system, the Ariadne threads system, and the CLAM protocol suite. He was also awarded a German Research Council Award for Computer Networking Research. He has been an invited researcher at the Oak Ridge National Laboratories and an ACM National Lecturer. He is an editor of the IEEE Transactions on Computers and an advisory board member of The DoD Advanced Distributed Simulation Research Consortium. diff --git a/src/data/compiled_bios/1313.txt b/src/data/compiled_bios/1313.txt new file mode 100644 index 0000000000..671cb4d88e --- /dev/null +++ b/src/data/compiled_bios/1313.txt @@ -0,0 +1 @@ +Bruno Ribeiro Assistant Professor of Computer Science Joined department: Fall 2015 diff --git a/src/data/compiled_bios/1314.txt b/src/data/compiled_bios/1314.txt new file mode 100644 index 0000000000..ddeac9af1c --- /dev/null +++ b/src/data/compiled_bios/1314.txt @@ -0,0 +1 @@ +Gustavo Adolfo Junipero Rodriguez-rivera Associate Professor of Practice Joined department: 2000 EducationPh.D., Purdue University, Computer Science (1998) M.S,, ITESM Campus Monterrey, Mexico, Electrical Engineering (1990) B.S., ITESM Campus Monterrey, Mexico, Electrical Engineering (1985) Besides many other teaching awards, Dr. Gustavo Rodriguez-Rivera was awarded the "Best Teacher in the School Of Science in 2014". Gustavo has more than 20 years of teaching experience. In his classes He emphasizes Systems Programming and Software Engineering. Gustavo's main areas of research are Operating Systems, Computer Networks, Memory Management, Embedded, and Real-Time Systems. He is also interested in Numerical Analysis, Computer Graphics, Computer Vision, Signal Processing, Artificial Intelligence, Data Structures, and Speech Recognition. Selected PublicationsKim, S., Adams, D.E., Sohn, H., Rodriguez-Rivera, G., Myrent, N., Bond, R., Vitek, J., Carr, S., Grama, A., and Meyer, J.,, ""Crack Detection Technique for Operation Wind Turbine Blades Using Vibro-Acoustic Modulation,"", (invited paper) (2014), Structural Health Monitoring: An International Journal,, Acknowledgements. Support for this work is provided by the National Science Foundation under grant CNS 1136045Gustavo Rodriguez-Rivera, Mike Spertus, and Charles Fiterman, "Conservative Garbage Collection for General Memory Allocators", ISMM2000 International Symposium on Memory Management,Gustavo Rodriguez-Rivera and Vince Russo, "Nonintrusive Cloning Garbage Collection with Stock Operating System Support", Software-Practice and Experience , Vol 27, No. 8, August 1997 diff --git a/src/data/compiled_bios/1315.txt b/src/data/compiled_bios/1315.txt new file mode 100644 index 0000000000..c8e2c65f0b --- /dev/null +++ b/src/data/compiled_bios/1315.txt @@ -0,0 +1 @@ +Tiark Rompf Assistant Professor of Computer Science Joined department: Fall 2014 EducationPhD, cole Polytechnique Fdrale de Lausanne (EPFL), Switzerland, Computer Science (2012) MS, Universitt zu Lbeck, Germany, Computer Science and Medical Informatics (2008) BS, Universitt Bremen, Germany, Computer Science (2003) Selected PublicationsTiark Rompf, Martin Odersky, "Lightweight Modular Staging: A Pragmatic Approach to Runtime Code Generation and Compiled DSLs", Commun. ACM 55(6): 121-130 (2012), CACM Research HighlightTiark Rompf, Arvind K. Sujeeth, Nada Amin, Kevin J. Brown, Vojin Jovanovic, HyoukJoong Lee, Martin Odersky, Kunle Olukotun, "Optimizing Data Structures in High-Level Programs: New Directions for Extensible Compilers based on Staging", POPL 2013Yannis Klonatos, Christoph Koch, Tiark Rompf, Hassan Chafi, "Building Efficient Query Engines in a High-Level Language", VLDB 2014, Best Paper Award diff --git a/src/data/compiled_bios/1316.txt b/src/data/compiled_bios/1316.txt new file mode 100644 index 0000000000..686db31ea4 --- /dev/null +++ b/src/data/compiled_bios/1316.txt @@ -0,0 +1 @@ +Elisha Sacks Professor of Computer Science Joined department: 1994 EducationBS, Carnegie-Mellon University, Computer Science (1982) SM, Massachusetts Institute of Technology, Computer Science (1985) PhD, Massachusetts Institute of Technology, Computer Science (1988) Dr. Sacks's research area is geometric reasoning in science and engineering. His current projects are robust computational geometry,model acquisition for computer graphics, generalized camera models, and robot path planning. He has also researched mechanical design algorithms using configuration spaces. The research led to practical design software for kinematic analysis, simulation, tolerancing, and parametric design of mechanical systems with higher pairs and changing contact topologies. The software has been used at Ford Motors for transmission design and at Sandia National Laboratory for micro-mechanism design. Selected PublicationsElisha Sacks, Victor Milenkovic, and Nabeel Butt, "Robust free space construction for a polyhedron with planar motion", Computer-Aided Design, 90c, 2017. Min-Ho Kyung, Elisha Sacks and Victor Milenkovic, "Robust Polyhedral Minkowski sums with GPU Implementation" Computer-Aided Design 67-68, 2015 Victor Milenkovic, Elisha Sacks, and Steve Trac, "Planar Shape Manipulation Using Approximate Geometric Primitives", International Journal of Computational Geometry and Applications, 23(1), 2013 diff --git a/src/data/compiled_bios/1317.txt b/src/data/compiled_bios/1317.txt new file mode 100644 index 0000000000..f819554d62 --- /dev/null +++ b/src/data/compiled_bios/1317.txt @@ -0,0 +1 @@ +Roopsha Samanta Assistant Professor of Computer ScienceJoined department: Fall 2016 EducationPh.D., The University of Texas at Austin, Electrical and Computer Engineering (2013) Roopsha Samanta is an Assistant Professor in the Department of Computer Science at Purdue University. Her research mission is to make it easier for people to build provably reliable programs. Her research focuses on developing algorithms and tools for automated program repair and synthesis, and targets diverse application domains such as concurrent and distributed systems, personalized education and machine learning. Roopsha completed her Ph.D. at The University of Texas at Austin in 2013 and was a postdoctoral researcher at the Institute of Science and Technology Austria (IST Austria) from 2014-2016. Selected PublicationsL. D'Antoni, R. Samanta and R. Singh, "Qlose: Program Repair with Quantitative Objectives", InProceedings of Computer Aided Verification (CAV), 2016P. ern, E. M. Clarke, T. A. Henzinger, A. Radhakrishna, L. Ryzhyk, R. Samanta and T. Tarrach, "From Non-preemptive to Preemptive Scheduling using Synchronization Synthesis", In Proceedings of Computer Aided Verification (CAV), 2015A. Gupta, T. A. Henzinger, A. Radhakrishna, T. Tarrach and R. Samanta, "Succinct Representation of Concurrent Trace Sets", In Proceedings of Principles of Programming Languages (POPL), 2015T. A. Henzinger, J. Otop and R. Samanta, "Lipschitz-Robustness of Finite-State Transducers", In Proceedings of Foundations of Software Technology and Theoretical Computer Science (FSTTCS), 2014 diff --git a/src/data/compiled_bios/1318.txt b/src/data/compiled_bios/1318.txt new file mode 100644 index 0000000000..b0a5b0f668 --- /dev/null +++ b/src/data/compiled_bios/1318.txt @@ -0,0 +1 @@ +Eugene H. Spafford Professor of Computer Science Professor of Electrical and Computer Engineering (courtesy)Professor of Communication (courtesy)Professor of Philosophy (courtesy)Professor of Political Science (courtesy)Executive Director Emeritus, Purdue CERIAS Joined department: Fall 1987 EducationBA, State University of New York at Brockport, Mathematics and Computer Science (1979) MS, Georgia Institute of Technology, Information and Computer Science (1981) PhD, Georgia Institute of Technology, Information and Computer Science (1986) DSc (honorary), State University of NY (SUNY), (2005) Dr. Spafford's current research interests are focused on issues of computer and network security, cybercrime and ethics, technology policy, and social impact of computing. He is the founder and executive director emeritus of the Center for Education and Research in Information Assurance and Security (CERIAS). This university-wide institute draws on expertise and research across many of the academic disciplines at Purdue. Spaf (as he is widely known) has received recognition and many honors for his research, including being named as a Fellow of the ACM, the AAAS, the IEEE, the (ISC)2, and as a Distinguished Fellow of the ISSA; he is the only person ever to achieve all five designations. Dr. Spafford has also been honored with all of the most prestigious awards in cyber security: the NIST/NCSC National Computer Systems Security Award in 2000; named to the Cyber Security Hall of Fame and as recipient of the (ISC)2 Harold F. Tipton Lifetime Achievement Award, both in 2013; and recipient of the 2017 IFIP TC-11 Kristian Beckman Award. In 2012, Spaf was named as one of Purdue's first Morrill Award winners for outstanding career achievements; the Morrill Award is Purdue's highest award for faculty. Among other honors for Professor Spafford are the 2004 ACM SIGCAS Making a Difference Award, a U.S. Air Force medal for "Meritorious Civilian Service" for his work with the USAF Scientific Advisory Board from 1999-2003, the 2005 IEEE Computer Society Technical Achievement Award, the 2006 ACM SIGSAC Outstanding Contribution award, and the notable ACM Presidential Award in 2007. In 2009 he received the prestigious CRA Distinguished Service Award, and in 2011 he was presented with a SANS Lifetime Achievement Award. He has been named as a member of the ISSA's Hall of Fame. In 2016, he was awarded Indiana's highest civilian honor, being named as a Sagamore of the Wabash. Professor Spafford has also been honored for his teaching, including receiving all three of Purdue's highest honors for education: the Outstanding Undergraduate Teaching Award in Memory of Charles B. Murphy, made a Fellow of the Purdue Teaching Academy, and listed in Purdue's Book of Great Teachers. In 2001, he was awarded the Founder's Award by the CISSE, and in 2003, he received the IEEE Computer Society's Taylor L. Booth medal for his accomplishments in infosec education. In 2009 he was awarded UPE's ABACUS award for contributions to excellence in education. Among many professional activities, Dr. Spafford is immediate past chair of ACM's U.S. Public Policy Council, is chair of ACM's Plagiarism and Ethics in Publications Committee, is a Member-at-Large of the ACM Council, and is the Editor-in-Chief of the Elsevier journal Computers & Security. Selected PublicationsMohammed Almeshekah and Eugene H. Spafford, Using Deceptive Information in Computer Security Defenses;International Journal of Cyber Warfare and Terrorism;IGI Global; 4(3); Jul/Sep 2014; pp. 46-58Jeffrey Avery and Eugene H. Spafford; Ghost Patches: Fake Patches for Fake Vulnerabilities; Proceedings of the 32nd International Conference on ICT Systems Security and Privacy Protection (IFIP SEC 2017); May 2017; Rome, Italy. Christopher N.Gutierrez, Eugene H.Spafford, Saurabh Bagchi, and Thomas Yurek, Reactive redundancy for data destruction protection (R2D2), Computers & Security, Elsevier; Vol 74, May 2018; pp. 184-201. Christopher N. Gutierrez, Mohammed H. Almeshekah, Eugene H. Spafford, Mikhail J. Atallah, and Jeff Avery; Inhibiting and Detecting Offline Password Cracking Using Ersatz Passwords; ACM Transactions on Privacy and Security (TOPS); ACM; Dec 2016; 19(3). Josiah Dykstra and Eugene H. Spafford; The Case for Disappearing Cyber Security; Communications of the ACM;July 2018, 61(7), Pages 40-42. diff --git a/src/data/compiled_bios/1319.txt b/src/data/compiled_bios/1319.txt new file mode 100644 index 0000000000..007b2f9e38 --- /dev/null +++ b/src/data/compiled_bios/1319.txt @@ -0,0 +1 @@ +Wojciech Szpankowski Saul Rosen Distinguished Professor of Computer Science Professor of Electrical and Computer Engineering (courtesy)Joined department: 1985 EducationMS, Technical University of Gdansk, Electrical Engineering and Computer Science (1970) PhD, Technical University of Gdansk, Electrical Engineering and Computer Science (1980) Wojciech Szpankowski is Saul Rosen Professor of Computer Science and Electrical and Computer Engineering at Purdue University. He received his M.S. and Ph.D. degrees in Electrical and Computer Engineering from Gdansk University of Technology. He held several Visiting Professor/Scholar positions, including McGill University, Canada, Stanford, Hewlett-Packard Labs, INRIA, Universite de Versailles, Universite de Bourgone, Dijon, Universite de Marne-la-Vallee, Ecole Polytechnique, France, University of Canterbury, New Zealand, Johann Wolfgang Goethe-University Frankfurt, Paris 13, France, and the Newton Institute, Cambridge, UK. He is a Fellow of IEEE, the Erskine Fellow, and 2010 recipient of the Humboldt Research Award. His research interests cover analysis of algorithms, information theory, bioinformatics, analytic combinatorics, and stability problems of distributed systems. He published the book "Average Case Analysis of Algorithms on Sequences", John Wiley & Sons, 2001. Szpankowski has been a guest editor and an editor of several technical journals, including Theoretical Computer Science, ACM Transaction on Algorithms, Algorithmica, IEEE Transactions on Information Theory, and Combinatorics, Probability, and Computing. In 2008 he launched the interdisciplinary Institute for Science of Information whose mission is to extend classical information theory to modern settings, including knowledge discovery and information extraction from massive datasets. He is the Director of the newly established NSF Science and Technology Center for Science of Information. None Selected PublicationsP. Flajolet, W. Szpankowski, and B. Vallee, "Hidden Word Statistics", Journal of the ACM, 53, 1-37, 2006.M. Koyuturk, Y. Kim, S. Subramaniam, W. Szpankowski, and A. Grama, "Detecting conserved interaction patterns in biological networks", J. Computational Biology, 13, 1299-1322, 2006.G. Park, H. Hwang, P. Nicodeme, W. Szpankowski, "Profile of Tries", SIAM J. Computing, 38, 1821-1880, 2009 diff --git a/src/data/compiled_bios/132.txt b/src/data/compiled_bios/132.txt new file mode 100644 index 0000000000..8ddd774dd7 --- /dev/null +++ b/src/data/compiled_bios/132.txt @@ -0,0 +1 @@ + NISHEETH K. VISHNOI NISHEETH K. VISHNOI RESEARCH My research spans several areas of theoretical computer science: from approximability of NP-hard problems, to combinatorial, convex and non-convex optimization, to tackling algorithmic questions involving dynamical systems, stochastic processes and polynomials. I am also broadly interested in understanding and addressing some of the key questions that arise in nature and society from the viewpoint of theoretical computer science. Here, my current focus is on natural algorithms, emergence of intelligence, and questions at the interface of AI, Ethics, and Society. DEMO Controlling Bias in AI PUBLICATIONS ALL PAPERS RECENT PAPERS (by topic) Algorithms & Complexity, Optimization, Dynamical Systems, Probability Algorithmic Bias Natural Algorithms and Evolution EXPOSITIONS Laplacian Solvers Convex Optimization Geodesic Convex Optimization Spectral Algorithms via Approximation Theory Real Stable Polynomials and their Applications to TCS Evolution MEDIA and OUTREACH (AI and Society) Panelist in ICRC/IIT Delhi Initiative on Humanitarian Policy and Technology, 2019 Round Table on the Governance of Decision Making Algorithms, IRGC, 2018 Round Table on AI and Global Health at Wilton Park , 2018 Our voting framework to be used in Valais elections, 2018 Panelist in the Responsible Finance and Investment Summit, 2018 Philanthropy Impact Roundtable on AI, 2018 A demo of our algorithms to control bias in AI (work in progress) On our work on controlling polarization [ video ] On our algorithms to control bias An interview on Artificial Intelligence An interview on Algorithmic Bias A journalist's report of the workshop Computation, Science and Society that I co-organized THINK TANK Computation, Nature and Society BLOGS Algorithms, Nature, and Society Off the Convex Path TWITTER Follow @NisheethVishnoi AFFILIATIONS CURRENT Professor of Computer Science, Yale ADJUNT ICTS IIT Delhi IIT Kanpur PAST IIT Bombay Georgia Tech IBM Research UC Berkeley CNRS Microsoft Research Simons Inst. EPFL RECENT EVENTS Best Technical Paper Award at ACM FAT*, 2019 Invited Talk at ACO Alumni Colloquium, Georgia Tech, 2019 Invited Talk at Workshop on Scaling Algorithms, FOCS 2018 Recent PC: SODA 2020, COLT 2019, FAT* 2019, FSTTCS 2018, FOCS 2018, SODA 2018 Invited Talk at Workshop on Optimization, Complexity and Invariant Theory, IAS 2018 Chair of the workshop `` Computation and Society ``, Lausanne 2018 Organizing a session on ``Algorithmic Fairness and Optimization``, ISMP 2018 Co-organizing a semester on Computational Aspects of Partition Functions (CIB, Fall 2018) Invited talk at ICTS @ 10 (Bangalore, Jan 2018) Co-organizing a Workshop on Algorithms and Optimization at ICTS (Bangalore, Jan 2018) Distinguished speaker colloquium at MPI (Saarbrucken, Dec 2017) Presentation on Algorithmic Bias at the United Nations OHCHR (Geneva, Nov 2017) Steering Com. Member of the DIMACS/Simons Collaboration on Bridging Cont. and Disc. Opt. Co-organizing Workshop on Approximation Algorithms and Hardness (Banff, Nov 2017) Invited talk at UIUC (Champaign, Oct 2017) Invited talk at the Simons workshop on Fast Iterative Methods (Berkeley, Oct 2017) Invited talk at the Simons workshop on Discrete Opt. via Cont. Relaxations (Berkeley, Sep 2017) Invited talk in the Optimization Seminar at the Simons Institute (Berkeley, Sep 2017) Invited talk at Google (Mountain View, Sep 2017) Invited talk in the Optimization Seminar at the Simons Institute (Berkeley, Sep 2017) Co-founded Computation, Nature and Society Think Tank (Summer 2017) Invited Talk at Workshop on Learning Theory at FOCM 2017 (Barcelona, July 2017) Co-organizing Workshop on Algorithmic Aspects of Dynamical Systems (Bellairs, Mar 2017) Co-organizing `` Computation, Sciences and Society `` (Mysore, Jan 2017) Plenary talk at ``Special Year on Complexity Theory and Cryptography`` (IISc, Jan 2017) Invited Talk at ITCS 2017 (Berkeley, Jan 2017) Invited talk at ``The Interface of Biology and TCS`` (Simons Center, NCBS, Dec 2016) Invited Talk at MIT Theory of Computation Colloquium (Boston, Nov 22, 2016) Invited Talk at Columbia IEOR/CS (New York, Nov 17, 2016) Invited Talk at Yale Applied Math Seminar (New Haven, Nov 15, 2016) Invited talk at ``Probabilistic Structures in Deterministic Population Genetics`` (Vienna, Nov 2016) Invited Talk at FOCS 2016 Workshop on Orthogonal Polynomials (Princeton, Oct, 2016) [ slides ] Invited talk at Discrete Optimization (ETH Zurich, August 2016) Invited talk at 5th Mysore Park Workshop (Mysore, August 2016) Invited talk at Algebraic and Spectral Graph Theory Workshop (Banff, August 2016) Invited talk at ICML Workshop on Advances in Nonconvex Analysis and Optimization (June 2016) Invited talk at Computational Complexity Conference (Tokyo, June 2016) Awarded the IIT Bombay Young Alumni Achiever Award for 2016 Public Lecture on Evolution and Computation (Singapore, Feb 2016) Co-organizing Evolution and Computing (Dagstuhl, Jan 2016) Keynote talks at Computation and Optimization in the Sciences and Engg (IIT Kanpur, Feb 2016) Invited talk at 2nd School on Population Genetics and Evolution (Bangalore, Jan 2016) Distinguished speaker at 6th Cargese workshop on Combinatorial Optimization [ notes ] Teaching Analytic Methods in CS , Fall 2015 Organizing The Computational Universe (Lausanne, June 2015) CONTACT EMAIL nisheeth (dot) vishnoi (@) gmail (dot) com diff --git a/src/data/compiled_bios/1320.txt b/src/data/compiled_bios/1320.txt new file mode 100644 index 0000000000..7744ccfd22 --- /dev/null +++ b/src/data/compiled_bios/1320.txt @@ -0,0 +1 @@ +Lin Tan Associate Professor of Computer Science Joined department: Spring 2019 EducationPh.D., University of Illinois at Urbana-Champaign, Computer Science Lin Tan's research interests are centered around software engineering, software dependability, defect detection and repair, and software text analytics. One of her research focuses is on leveraging machine learning and natural language processing techniques to improve software dependability and using software engineering approaches to improve the dependability of machine learning software. Prior to joining Purdue, she was a Canada Research Chair and an associate professor at the University of Waterloo. diff --git a/src/data/compiled_bios/1321.txt b/src/data/compiled_bios/1321.txt new file mode 100644 index 0000000000..36a000a063 --- /dev/null +++ b/src/data/compiled_bios/1321.txt @@ -0,0 +1 @@ +Xavier Tricoche Assistant Professor of Computer Science Joined department: Fall 2007 EducationPhD, University of Kaiserslautern, Germany, Computer Science (2002) MSc, Universite Joseph Fourier (Grenoble, France), Applied Mathematics (1998) Engineer's Degree, ENSIMAG (Grenoble, France), Computer Science (1998) Dr. Xavier Tricoche is a member of the Computer Graphics and Visualization group. His research aims to create new methods for scalable processing and interactive visual analysis of large datasets. His main topics of interest include fluid dynamics, granular materials, orbital mechanics, structural analysis of vector and tensor fields, topology and dynamical systems, medical image analysis, high-performance computing, and computer graphics. Dr. Tricoche received his PhD in Computer Science from the University of Kaiserslautern, Germany in 2002. He holds a MSc in Applied Mathematics from the University of Grenoble in France and an Engineering Degree in Computer Science from ENSIMAG. Dr. Tricoche has previously taught at the University of Utah and the University of Kaiserslautern. Selected PublicationsX. Tricoche, C. Garth, A. Sanderson, "Visualization of Topological Structures in Area Preserving Maps", IEEE Transactions on Visualization and Computer Graphics, 17(12), pp. 1765-1774, 2011.S. Barakat, N. Andrysco, X. Tricoche, "Efficient Extraction of High-Quality Crease Surfaces for Visual Analysis", Computer Graphics Forum, 30(3), pp. 961-970, 2011.A. Sanderson, G. Chen, X. Tricoche, D. Pugmire, S. Kruger, J. Breslau, "Analysis of Recurrent Patterns in Toroidal Magnetic Fields", IEEE Transactions on Visualization and Computer Graphics, 16(6), pp. 1431-1440, 2010. diff --git a/src/data/compiled_bios/1322.txt b/src/data/compiled_bios/1322.txt new file mode 100644 index 0000000000..8981df409e --- /dev/null +++ b/src/data/compiled_bios/1322.txt @@ -0,0 +1 @@ +Jeffrey A. Turkstra Assistant Professor of Practice Joined department: Spring 2017 EducationBS, Purdue University, Computer Engineering (2004) MS, Purdue University, Electrical and Computer Engineering (2007) PhD, Purdue University, (2013) From August 2005 through July 2006, Dr. Turkstra was a Charles C. Chappelle Fellow at Purdue. For the three academic years spanning 2005-2008, he served as an Instructor for the School of Electrical and Computer Engineering. For seven years beginning June 2009, he was a full time Software Engineer with the HUBzero group in the Rosen Center for Advanced Computing at Purdue University.Since 2017, Dr. Turkstra has been a member of the faculty at Purdue as an Assistant Professor of Practice in the Department of Computer Science. He also enjoys occasionally dabbling in digital systems design and serves as a consultant for a number of start-ups.Dr. Turkstra's research interests are primarily in the areas of operating systems and distributed systems. Previous research activities include a prototype thin client EDA environment based on Sun's GridEngine and Sun Ray Server software as well as a large storage area network (SAN) research project operated by the Engineering Computer Network. His current work centers on a distributed, virtual operating system named Metachory. diff --git a/src/data/compiled_bios/1323.txt b/src/data/compiled_bios/1323.txt new file mode 100644 index 0000000000..f29316ab81 --- /dev/null +++ b/src/data/compiled_bios/1323.txt @@ -0,0 +1 @@ +Samuel S. Wagstaff, Jr. Professor of Computer Science Professor of Mathematics (courtesy)Joined department: 1983 EducationBS, Massachusetts Institute of Technology, (1966) PhD, Cornell University, (1970) Before coming to Purdue, Professor Wagstaff taught at the Universities of Rochester, Illinois, and Georgia. He spent a year at the Institute for Advanced Study in Princeton. His research interests are in the areas of cryptography, parallel computation, and analysis of algorithms, especially number theoretic algorithms. He and J. W. Smith of the University of Georgia have built a special processor with parallel capability for factoring large integers. He is the author of Factorizations of bn 1, b = 2, 3, 5, 6, 7, 10, 11, 12 up to high powers, Contemporary Mathematics series, v. 22, Third edition, American Mathematical Society, 2002 (with John Brillhart, D. H. Lehmer, J. L. Selfridge and Bryant Tuckerman) (See http://www.ams.org/online_bks/conm22), Cryptanalysis of Number Theoretic Ciphers, CRC Press, 2002, Sums of Squares of Integers, CRC Press, 2005 (with Carlos Moreno), and The Joy of Factoring, American Mathematical Society, 2013. His Erdos number is 1. Selected PublicationsP.L Montgomery, S. Nahm and S. S. Wagstaff Jr, "The period of the Bell numbers modulo a prime", Mathematics of Computation, v. 79 (2010), pages 1793-1800J. Gower and S. S. Wagstaff Jr, "Square form factorization", Mathematics of Computation, v. 77 (2008), pages 551-588E. Bertino, N. Shang and S. S. Wagstaff, Jr, "An efficient time-bound hierarchical key management scheme for secure broadcasting", IEEE Trans. on Dependable and Secure Computing, v. 5, no. 2 (2008), pages 65-70. diff --git a/src/data/compiled_bios/1324.txt b/src/data/compiled_bios/1324.txt new file mode 100644 index 0000000000..5af01d0b5f --- /dev/null +++ b/src/data/compiled_bios/1324.txt @@ -0,0 +1 @@ +He Wang Assistant Professor of Computer ScienceJoined department: Fall 2016 EducationPh.D., University of Illinois at Urbana-Champaign, Electrical and Computer Engineering (2016) M.S., Duke University, Electrical and Computer Engineering (2013) B.E., Tsinghua University, Electrical Engineering (2011) diff --git a/src/data/compiled_bios/1325.txt b/src/data/compiled_bios/1325.txt new file mode 100644 index 0000000000..316e22ac55 --- /dev/null +++ b/src/data/compiled_bios/1325.txt @@ -0,0 +1 @@ +Patrick J. Wolfe Frederick L. Hovde Dean of Science Miller Family Professor of Statistics Miller Family Professor of Computer Science diff --git a/src/data/compiled_bios/1326.txt b/src/data/compiled_bios/1326.txt new file mode 100644 index 0000000000..9983c3e93a --- /dev/null +++ b/src/data/compiled_bios/1326.txt @@ -0,0 +1 @@ +Dongyan Xu Samuel D. Conte Professor of Computer Science Interim Director, Purdue CERIAS Joined department: Fall 2001 EducationBS, Zhongshan (Sun Yat-sen) University, Computer Science (1994) PhD, University of Illinois at Urbana-Champaign, Computer Science (2001) Dongyan Xu is a Samuel D. Conte Professor of Computer Science at Purdue University. From 2016 to 2018, Professor Xu served as the Interim Director of CERIAS, Purdue's cybersecurity research center. His research focuses on the development of virtualization technologies for computer system security and for cloud computing. He has also made early contributions to the area of peer-to-peer media streaming and distribution. He leads the Lab for Research in Emerging Network and Distributed Systems ( FRIENDS). For computer system security, Xu and his students have been developing virtualization-based systems for capturing, investigating, and defending against stealthy computer malware (e.g., worms, rootkits, bots, and APTs). His team is also developing reverse engineering techniques for the analysis of binary artifacts such as binary programs and memory images. For cloud computing, Xu and his students have been developing advanced techniques for the creation, management, and performance optimization of virtual networked infrastructures on top of physical cloud infrastructures. Xu received six Seed for Success Awards from Purdue University, a CAREER Award from the National Science Foundation (2006), and seven Best Paper/Best Student Paper Awards from the International Symposium on Recent Advances in Intrusion Detection (RAID 2008), ACM Symposium on Cloud Computing (SoCC 2011), IEEE/ACM International Conference on Automated Software Engineering (ASE 2013), USENIX Security Symposium (2014, Best Student Paper), ACM Conference on Computer and Communications Security (CCS 2015), Network and Distributed Systems Security Symposium (NDSS 2016), and USENIX Security Symposium (2017). He served on the Editorial Board of the ACM Transactions on Autonomous and Adaptive Systems (TAAS) and has served on program committees of major security and cloud computing conferences (e.g., CCS, NDSS, S&P, USENIX Security, and SOCC). He was selected a University Faculty Scholar in 2012 and has received the College of Science Undergraduate Advising (2008), Graduate Advising (2014), Leadership (2013, 2016), Research (2015), and Team (2015, 2017) Awards. Past and current sponsors of Xu's research include the AFOSR, AFRL, Army CERDEC, DARPA, IARPA, NSA, NSF, ONR, Sandia National Labs, Cisco Systems, DOCOMO USA Labs, ETRI, Microsoft Research, Northrop Grumman, Vencore Labs, Southwest Research Institute, and Purdue Research Foundation. He has been involved in research grants totaling more than $29 million and has been the PI of research projects totaling more than $17.5 million. Selected PublicationsB. Saltaformaggio, Z. Gu, X. Zhang, D. Xu, "DSCRETE: Automatic Rendering of Forensic Information from Memory Images via Application Logic Reuse", Proceedings of the 23rd USENIX Security Symposium, August 2014, (Best Student Paper Award)J. Rhee, R. Riley, Z. Lin, X. Jiang, D. Xu, "Data-Centric OS Kernel Malware Characterization", IEEE Transactions on Information Forensics and Security, 9(1), 2014S. Gamage, C. Xu, R. Kompella, D. Xu, "vPipe: Piped I/O Offloading for Efficient Data Movement in Virtualized Clouds", Proceedings of the 5th ACM Symposium on Cloud Computing (SOCC 2014), November 2014 diff --git a/src/data/compiled_bios/1327.txt b/src/data/compiled_bios/1327.txt new file mode 100644 index 0000000000..84cb2cb001 --- /dev/null +++ b/src/data/compiled_bios/1327.txt @@ -0,0 +1 @@ +Yexiang Xue Assistant Professor, starting August 2018 Joined department: Fall 2018 Yexiang Xue is an assistant professor at Purdue. The goal of Mr Xue's research is to bridge large-scale constraint-based reasoning and optimization with state-of-the-art machine learning techniques in order to enable intelligent agents to make optimal decisions in high-dimensional and uncertain real-world applications. More specifically, Mr Xue's research focuses on scalable and accurate probabilistic reasoning techniques, statistical modeling of data, and robust decision-making under uncertainty. Mr. Xue's work is motivated by key problems across multiple scientific domains, ranging from artificial intelligence, machine learning, renewable energy, materials science, crowdsourcing, citizen science, urban computing, ecology, to behavioral econometrics. Mr. Xue focuses on developing cross-cutting computational methods, with an emphasis in the areas of computational sustainability and scientific discovery. diff --git a/src/data/compiled_bios/1328.txt b/src/data/compiled_bios/1328.txt new file mode 100644 index 0000000000..73a8ecc205 --- /dev/null +++ b/src/data/compiled_bios/1328.txt @@ -0,0 +1 @@ +Ming Yin Assistant Professor, starting August 2018 Joined department: Fall 2018 EducationB.E., Tsinghua University, Computer Software (2011) Ph.D., Harvard University, Computer Science (2017) Ming Yin is an assistant professor in the Department of Computer Science, Purdue University. Her primary research interests lie in the interdisciplinary field of social computing and crowdsourcing. She designs and conducts large-scale online behavioral experiments to obtain a quantitative perspective on participants' behavior in social computing and crowdsourcing systems (e.g., on-demand labor markets like Amazon Mechanical Turk). Based on the empirical evidence from the behavioral data, She further works on designing realistic models, novel algorithms and effective interfaces to facilitate the development of more intelligent and sustainable systems. Her research broadly connects to the fields of artificial intelligence and applied machine learning, computational social science, human-computer interaction and behavioral economics. Ming is named as a Siebel Scholar (Class of 2017), and has received Best Paper Honorable Mention at the ACM Conference on Human Factors in Computing Systems (CHI'16). Ming is a postdoctoral researcher at Microsoft Research New York City in 2017-2018, completed her PhD in computer science at Harvard University in 2017, and received her bachelor's degree from Tsinghua University, Beijing, China, in 2011. diff --git a/src/data/compiled_bios/1329.txt b/src/data/compiled_bios/1329.txt new file mode 100644 index 0000000000..d6119f0069 --- /dev/null +++ b/src/data/compiled_bios/1329.txt @@ -0,0 +1 @@ +Xiangyu Zhang Professor of Computer Science Joined department: Fall 2006 EducationPhD, University of Arizona, Computer Science (2006) MS, University of Sci. & Tech. of China, Computer Science (2000) BS, University of Sci. & Tech. of China, Computer Science (1998) Professor Zhang's research is on automatic debugging, software reliability,computer security, and program profiling. In particular, he has designed efficient and effective dynamic slicing techniques which have a lot of applications in debugging runtime errors, intrusion detection, and preventing software piracy. He has designed architectural support for protecting sensitive data in symmetric shared memory processors. He has also conducted research on program tracing and profiling, which includes novel representations and creative compression techniques. Zhang is interested in program analysis, both dynamic and static, and their applications in software engineering and security related issues. Zhang is a member of ACM and IEEE. Selected PublicationsX. Zhang, N. Gupta, and R. Gupta, "Pruning Dynamic Slices With Confidence", ACM SIGPLAN Conference on Programming Language Design and Implementation, 2006X. Zhang and R. Gupta, "Whole Execution Traces and their Applications", ACM Transactions on Architecture and Code Optimization, 2005X. Zhang and R. Gupta, "Matching Execution Histories of Program Versions", Conference and 13th ACM SIGSOFT Symposium on the Foundations of Software Engineering, 2005 diff --git a/src/data/compiled_bios/133.txt b/src/data/compiled_bios/133.txt new file mode 100644 index 0000000000..fd15d79c1f --- /dev/null +++ b/src/data/compiled_bios/133.txt @@ -0,0 +1 @@ + Yang (Richard) Yang Professor of Computer Science Director of Undergraduate Studies (Fall 2018) Department of Computer Science Computer Systems Lab at Yale Yale University Google Scholar (maintains a more complete list of papers than this page) Office: 208A AK Watson 51 Prospect Street New Haven, CT 06520 ( google map ) Phone: (203) 432-6400 FAX: (203) 432-0593 yang.r.yang AT yale.edu or yry AT cs.yale.edu News (trailing 12 months) [12/14/2018] Our paper Optimizing in the Dark: Learning an Optimal Solution Through a Simple Request Interface" (#3682) will be presented as an oral presentation at AAAI'19 . Dennis will be the presenter. Good job! [11/29/2018] Congratulation to Geng, Franck and Yeon-sup for the acceptance of the paper, Update Algebra: Toward Continuous, Non-Blocking Composition of Network Updates in SDN by INFOCOM'19 . Congratulations! [11/01/2018] Congratulation to Qiao Xiang, Dennis Yu, James Aspnes and Linghe Kong, for the acceptance of the paper, Toward Fast, Automatic, Privacy-Preserving Learning of Optimal Network Resource Reservation via the Simple Reservation Interface , by AAAI'19 , the flagship conference of Artificial Intelligence. Congratulations! [10/01/2018] Congratulation to Geng Li and Yicheng, for the acceptance of the paper, On Max-min Fair Allocation for Multi-source Transmission , by Computer Communications Review (CCR) , the flagship journal of ACM SIGCOMM. Congratulations! [09/15/2018] Congratulation to the team of Qiao Xiang and others, for the acceptance of the work, Unicorn: Unified Resource Orchestration for Multi-Domain, Geo-Distributed Data Analytics , by the journal Future Generation Computer Systems (FGCS) . FGCS is the second highest ranked venue by Google Scholar in computing systems (https://scholar.google.com/citations?view_op=top_venues&hl=en&vq=eng_computingsystems). Congratulations! [08/15/2018] Congratulation to the team of Qiao Xiang, Franck Le, Chin Guok, John McAuley, and Harvey Newman: our work, Fine-Grained, Multi-Domain Network Resource Abstraction as a Fundamental Primitive to Enable High-Performance, Collaborative Data Sciences , has been accepted by SuperComputing (SC'18) . SuperComputing, with full name The International Conference for High Performance Computing, Networking, Storage, and Analysis, the flagship conference of high-performance systems. [07/18/2018] Congratulation to the team of Qiao Xiang, Franck Le, Yeon-sup Lim, Vinod Misihra, and Chris Williams: our work, OpenSDC: A Novel, Generic Datapath for Software Defined Coalitions , has been accepted by MILCOM 2018 , the flagship conference of military communications and networking. [06/27/2018] Congratulation to Chris Leet (Yale undergrad!), Yuki de Pourbaix (Yale sophomore!), and Shenshen Chen: their work, Magellan: Toward Automatic Mapping from High-Level SDN Programs to Low-Level, Optimized Datapath Pipelines, is invited to the first phase of the ACM Student Research Competition! The competition has invited only 7 undergraduate students in total for the SRC competition in the undergraduate category. Congratulations! [06/19/2018] Congratulations to our team of Qiao Xiang, Chin Guok, Franck Le, John McAuley, Harvey Newman on the acceptance by SIGCOMM 2018 Posters and Demos of the work SFP: Toward Interdomain Routing for SDN . Good job! [06/19/2018] Congratulations to our team of Qiao Xiang, Jensen Zhang, X. Tony Wang, Y. Jace Liu (undergrad!), Chin Guok, Franck Le, John McAuley, and Harvey Newman on the acceptance by SIGCOMM 2018 Posters and Demos of the work Fine-Grained, Multi-Domain Network Resource Abstraction as a Fundamental Primitive to Enable High-Performance, Collaborative Data Sciences . Good job! [05/08/2018] Congratulations to our team of Kai Gao and Taishi Nojima (Yale undergrad thesis!) on the acceptance by SIGCOMM 2018 of our paper Trident: Toward a Unified SDN Programming Framework with Automatic Updates . Great achievement! [04/30/2018] Congratulations to Geng's team on the acceptance by IEEE DSC 2018 - IEEE International Conference on Data Science in Cyberspace of our paper titled JMS: Joint Bandwidth Allocation and Flow Assignment for Transfers with Multiple Sources . Good job! [04/19/2018] Congratulations to Geng's team on the acceptance by 38th IEEE International Conference on Distributed Computing Systems (ICDCS 2018) of our new datapath design paper titled DDP: Distributed Network Updates in SDN . Good job! [11/27/2017] Congratulations to Chris Leet (Yale undergrad thesis!), Tony Wang, and James Aspnes on the acceptance of our paper titled Toward the First SDN Programming Capacity Theorem on Realizing High-Level Programs on Low-Level Datapaths by IEEE INFOCOM 2018 , a flagship conference of IEEE. [11/27/2017] Congratulations to Kai and Jensen (first-year PhD student!) on the acceptance of our paper titled Prophet: Fast, Accurate Throughput Prediction with Reactive Flows by IEEE INFOCOM 2018 , a flagship conference of IEEE. [10/17/2017] Our project, Programming and Interconnection (East-West) Abstractions and Formalization for Software-Defined Coalitions, in collaboration with ARL , Dstl , IBM Watson , and UCL , is selected for BPP18 (Jan. 1, 2018-Dec. 31, 2019), in the Distributed Analytics and Information Science (DAIS) program sponsored by U.S. ARL and U.K. Dstl. If you are interested in PhD or a Postdoc designing programmable networks in a challenging setting, with a good team of collaborators, please send me a note. [10/13/2017] Key components (FAST Maple and SFP) of our system to design ExaScale Data Sciences are accepted as a paper in INDIS 2017 (part of SC17 program) and a demo of NRE (Network Control and Multi-domain Interconnection Programming for Next-Generation Data-Intensive Sciences). [08/29/2017] We are looking for motivated students/postdocs in the general networking area to join our group. One of our main current research projects is programmable networks, for both general networks and specialized networks including science networks (we are deploying our system on Yale Science Network, working with CalTech to apply SDN to LHC/CMS), tactical coalition networks, and emerging 5G/IoT networks. We offer great research opportunities (e.g., my group publishs consistently in SIGCOMM, the top networking conference), systems development opportunities (e.g., my group contributes actively to OpenDaylight, the largest open-source SDN network OS), and standards opportunities (e.g., my research is the foundation of the IETF ALTO Working Group). Please drop me a note if you are interested. Basic info Professor Y. Richard Yang is a member of the Computer Systems Lab at Yale, where he founded and leads the Laboratory of Networked Systems (LANS). His research spans areas including computer networks, mobile computing, wireless networking, and network security. His work has been implemented/adopted in products/systems of major companies (e.g., AT&T, Alcatel-Lucent, Cisco, Google, Microsoft, Youku), and featured in mainstream media including Economist, Forbes, Guardian, Chronicle of Higher Education, Information Week, MIT Technology Review, Science Daily, USA Today, Washington Post, and Wired, among others. Current projects and recent publications SDN programming SFP: A Novel, Scalable, SDN Federation Protocol. In Proceedings of the DAIS Workshop. August 2017. ExaO: Toward Programmable Control for ExaScale Science. In Proceedings of the DAIS Workshop. August 2017. Magellan: Generating High-Quality Multi-Table Datapath from Datapath Oblivious Algorithmic SDN Policies. Appeared in Proceedings of ACM SIGCOMM 2016; pages 593-594; August 2016. pdf FAST: A Simple Programming Abstraction for Complex State-Dependent SDN Programming. Appeared in Proceedings of ACM SIGCOMM 2016; pages 579-580; August 2016. pdf SDN Programming: Problems and Progress, 2016 (in Chinese). pdf Tango: Simplifying SDN Programming with Automatic Switch Behavior Inference, Abstraction and Optimization. In Proceedings of CoNEXT 2014, December 2014. pdf Maple: Simplifying SDN Programming Using Algorithmic Policies. In Proceedings of ACM SIGCOMM 2013; pages 87-98; August 2013. pdf Application-network interaction (Resource model) IETF draft: ALTO Incremental Updates Using Server-Sent Events (SSE). July 2017. link IETF draft: ALTO Extension: Path Vector Cost Mode. July 2017. link NOVA: Towards On-Demand Equivalent Network View Abstraction for Network Optimization; In Proceedings of IWQoS 2017; June 2017. pdf ORSAP: Abstracting Routing State on Demand. In Proceedings of IEEE ICNP; pages 1-2; November 2016. pdf RFC7285: The ALTO Protocol. 2015. spec Network function virtuaization My PACE slides at DIMACS Cloud Worshop. Massive MIMO The Argos project . Teaching calendar Office hours are at 208A. If you can't make it to my open office hours, please send me email to make an appointment. Project funding "Distributed Distributed Analytics and Information Science International Technology Alliance," US Army and UK MoD, $2,480,675 (First 5 years, with L. Tassiulas, N. Christakis), 10/01/2016-09/30/2021 (may extend another 5 years). "Dynamically Optimizing Research Data Workflow with a Software Defined Science Network," NSF CC-IIE Integration 1440745, $788,605 (PI; Co-PIs: Andrew Sherman, Robert Bjornson, and David Galassi), 10/1/2014 - 09/30/2017. "NeTS:Small:Collaborative Research: LAWN: Scaling Up Cellular Data Networks using a Large Number of Antennas,'' NSF CNS-1218457, $140,000 (PI), 08/01/2012 - 07/31/2016. "MatrixNet: Concurrent Transmission and Reception in Wireless Networks," NSF CNS-1018502, $300,000, 09/01/2010 - 08/31/2012. "NECO: P4P: Provider Portal for (P2P) Network Applications," NSF CNS-0831834, $350,000, 09/01/2008 - 08/31/2011. "Collaborative Research: NeTS-NBD: Traffic Engineering in an Uncertain World," NSF CNS-0626878, $162,748, 09/01/2006-08/31/2010. "CAREER: Networks with Multiple Transport Mechanisms," NSF ANI-0238038, $424,889, 08/15/2003 - 7/31/2008. "NeTS---Design and Evaluation of Multihomed Networks," NSF CNS-0435201, $349,987, 10/01/2004 - 9/30/2008, with James Aspnes and Avi Silberschatz. "Incentive-Compatible Designs for Distributed Systems,'" NSF ANI-0207399, $424,998, 08/15/2002 - 7/31/2005, with Joan Feigenbaum, Arvind Krishnamurthy, and Scott Shenker. My research is also supported by funding from Altera, Amazon, Google, Huawei, and Microsoft Research. Some past research Some of my past projects include P4P (Provider Portal for Network Applications) , NCS (Network Configuration Studio) , TORTE (Towards Optimized and Robust Traffic Engineering) , Incentive-Compatible Wireless Networks , FITE (Foundation for Interdomain Traffic Engineering) , muNet . For a more complete list of my projects, please go to LANs home page. My general research interests include computer networks, wireless networks, sensor networks, mobile computing, and network security. I lead the Laboratory of Networked Systems (LANS) at Yale University. Previously, my primary research interest is on designing robust, efficient and fair computer networks, where autonomous, heterogeneous traffic controllers optimize their objectives measured by both traditional performance metrics and non-traditional metrics such as economical metrics and survivability. Research Highlights: Content Distribution We propose, design and implement multiple protocols and mechanisms to improve the efficiency and robustness of Internet content distribution. The P4P framework (SIGCOMM 2008) for ISP and content distribution app integration; see IETF ALTO Working Group for standardization effort. The Data Locker (SIGCOMM ICN 2012) framework for in-network storage. The ShadowStream framework (SIGCOMM 2012) for realsitic debugging. The CMO framework (SIGCOMM 2012) for cost and performance optimization. Robust, Efficient Internet Traffic Engineering (TE) We have designed and completely implemented the TORTE system, which is the first integrated traffic engineering, routing system that can handle topology failures, traffic variations, and service requirements (e.g., priority) with provable guarantees. A set of overview slides for intradomain TE (SIGCOMM 2010) Multihoming: one-hop interdomain TE (SIGCOMM 2004) Interdomain TE as social choice Ingress interdomain TE Egress interdomain TE Incentive-compatibility/Economics of Network Design We design and analyze protocols considering incentive-compatibility. P2P Live streaming Wireless mesh BGP as social choice Wireless Throughput Optimization We improve wireless throughputs by avoiding collisions to creating "beneficial" collisions such as superposition and matrix net. superposition coding and ipack remap and matrixnet Argos Network Localization We provide the first complete foundation of network localization. A set of overview slides Research Questions and Objectives: The central question driving much of my research is the following: What are the guiding principles and practical techniques for achieving robust and efficient computer networks? Our research methodology is to integrate rigorous analysis with careful system design, practical implementation, and whenever possible large-scale field tests with real users. The objective of rigorous analysis is to reveal and derive the most fundamental guiding principles and to provide provable guarantees. As an example, instead of an ad-hoc system design, our P4P framework derives the interfaces between networks and network applications through rigorous primal-dual optimization decomposition. The objective of system implementation and large-scale field tests is to ground the principles in the real world. Some of our systems have undergone extremely large-scale field tests (e.g., P4P has been test-deployed with millions of real users at five of the largest Internet service providers in the world); some of our tools have been used by multiple other groups around the world (e.g., TORTE and Network Localization). Some past publications Search by google scholar Publications up to 2012; will update to 2016 soon: ShadowStream , Tian et al. In SIGCOMM 2012 , Aug. 2012. ( paper , slides ) Optimizing Cost and Performance for Content Multihoming , Liu et al. In SIGCOMM 2012 , Aug. 2012. ( paper , slides ) Argos , Shepard et al. In Mobicom 2012 , Aug. 2012. ( paper ) An Open Content Delivery Infrastructure using Data Lockers , Alimi et al. To appear in SIGCOMM ICN 2012 , Aug. 2012. (bib, pdf) Network Optimization for DHT-based Applications by Y. Sun, Y. Richard Yang, X. Zhang, Y. Guo, J. Li, and K. Salamatian. In INFOCOM 2012 , Apr. 2012. (bib, pdf) ALTO Protocol by R. Alimi, R. Penno, and Y. Richard Yang. Internet Draft. 2012. ( txt ). Open Content Distribution using Data Lockers by Richard Alimi, Y. Richard Yang, et al. ( slides we made for the Nov. 2010 CoxNet Workshop ). PEAC: Performance Evaluation as a Capability in Production Live Streaming by Richard Alimi, Chen Tian, Y. Richard Yang and David Zhang. Sept. 2010. ( pdf slides from Rich's defense ) Remap Decoding: Simple Retransmission Permutation Can Resolve Overlapping Channel Collisions by L. Erran Li, Kun Tan, Harish Viswanathan, Ying Xu, and Y. Richard Yang. In MOBICOM 2010 , Sept. 2010. (bib, pdf, slides ) R3: Resilient Routing Reconfiguration by Y. Wang, H. Wang, A. Mahimkar, R. Alimi, Y. Zhang, L. Qiu and Y.R. Yang. In SIGCOMM 2010 , August 2010. ( bib , pdf , Hao Wang's Thesis defense gives pre-R3 background , sigcomm slides ) Mosaic: Policy Homomorphic Network Extention to appear in LADIS 2010 , Zurich, Switzerland, July 2010. ( pdf ). An early technical report version is Yale Technical Report/TR1427 , by L. Erran Li, M.F. Nowlan, C. Tian, Y.R. Yang, and M. Zhang, Feb. 2010 ( pdf ). Open Content Distribution using Data Lockers by R. Alimi, H. Liu, Y.R. Yang, and D. Zhang. Yale Technical Report/TR1426 , Feb. 2010. (bib, pdf ) Guide to Reliable Internet Services and Applications by Charles R. Kalmanek, Sudip Misra, and Y. Richard Yang (ed.) Springer-Verlag 2010. ( book cover ) Contracts: Practical Contribution Incentives for P2P Live Streaming by M. Piatek, A. Krishnamurthy, A. Venkataramani, R. Yang, D. Zhang, and Alexander Jaffe. In NSDI 2010 . (bib, pdf , slides ) A General Algorithm for Interference Alignment and Cancellation in Wireless Networks by Li Erran Li, Richard Alimi, Dawei Shen, Harish Viswanathan and Y. Richard Yang. In INFOCOM 2010 . (bib,pdf, slides ) Conferences: cfp , statistics Students This is a web page with links to alumni of my group. I am fortunate to be able to work closely with a stellar group of students. There are many more interesting projects than we can actively pursue; thus, I am currently looking for motivated Ph.D. students. One way for checking if you have a reasonable background and if there is a potential match between my research interests and yours, is that you take a look at my current research papers, say those linked at the beginning of this page. If you feel comfortable understanding, and (potentially) criticizing those papers, please feel free to contact with me. This link contains much useful information for graduate students. Here is a link to prospective students, current students and prospective visiting researchers. I used to maintain a list of papers on computer networks. I suggest to my students that they read the papers, at least the red ones. Teaching CS112, Introduction to Programming , Spring 2016, Fall 2007, Fall 2005, Fall 2003, Fall 2002 CS433b/533b, Computer Networks , Spring 2016, Spring 2006, Spring 2005, Spring 2003, Spring 2002 CS434b/534b, Mobile Computing and Wireless Networking , Spring 2017, Fall 2006, Spring 2004 CS633, Seminar on Computer Networks , Fall 2001 More personal info Short bio: Dr. Y. Richard Yang is a Professor of Computer Science and Electrical Engineering at Yale University, where he founded and leads the Laboratory of Networked Systems (LANS). Dr. Yang's research is supported by both US government funding agencies and leading industrial corporations, and spans areas including computer networks, mobile computing, wireless networking, and network security. His work has been implemented/adopted in products/systems of major companies (e.g., AT&T, Alcatel-Lucent, Cisco, Google, Microsoft, Youku), and featured in mainstream media including Economist, Forbes, Guardian, Chronicle of Higher Education, Information Week, MIT Technology Review, Science Daily, USA Today, Washington Post, and Wired, among others. His awards include a CAREER Award from the National Science Foundation and a Google Faculty Research Award. Dr. Yang's received his B.E. degree in Computer Science and Technology from Tsinghua University (1993), and his M.S. and Ph.D. degrees in Computer Science from the University of Texas at Austin (1998 and 2001). IEEE photo. Photos with ruirui ( July 2009 at Olympic park ) Ph.D. advisor: Simon S. Lam ; to trace the whole academic chain, you can see the mathematics genealogy project . Last updated: 12/20/2016 22:43:53 -0500 diff --git a/src/data/compiled_bios/1330.txt b/src/data/compiled_bios/1330.txt new file mode 100644 index 0000000000..b117766e05 --- /dev/null +++ b/src/data/compiled_bios/1330.txt @@ -0,0 +1 @@ +Ying Zhu Assistant Professor of Statistics Assistant Professor of Computer Science Joined department: Fall 2018 EducationPhD, University of California, Berkeley, Econometrics, Statistics, and Machine Learning (2015) MA, University of California, Berkeley, Statistics (2013) MS, MIT, Transportation Operations Research (2009) I am an assistant professor of Statistics and Computer Science at Purdue University, West Lafayette. My research interests are at the intersections of statistics, economics and econometrics, machine learning, operations research and business analytics. I am looking for PhD students. If you are interested, please send an email to yingzhu@purdue.edu Selected PublicationsNonparametric Density Estimation Based on Truncated Mean{Supplementary materials}byYing Zhu-Statistics and Probability Letters, 83, 445-451, 2013Nonasymptotic Analysis of Semiparametric Regression Models with High-Dimensional ParametricCoefficients{Supplementary materials} byYing Zhu-The Annals of Statistics, 45,2274???2298, 2017Sparse Linear Models andl1-Regularized 2SLS with High-Dimensional Endogenous Regressors and Instruments{Additional materials from 2013}byYing Zhu-The Journal of Econometrics, 202, 196-213, 2018Inference in Approximately Sparse Correlated Random Effects Probit Models with Panel Databy Jeffrey Wooldridge,YingZhu(alphabetical author ordering)-Forthcoming inThe Journal of Business & Economic Statistics diff --git a/src/data/compiled_bios/1331.txt b/src/data/compiled_bios/1331.txt new file mode 100644 index 0000000000..0dcc013bcd --- /dev/null +++ b/src/data/compiled_bios/1331.txt @@ -0,0 +1 @@ +Jan P. Allebach Hewlett-Packard Distinguished Professor of Electrical and Computer EngineeringProfessor of Computer Science (courtesy)Joined department: 2014 EducationBS, University of Delaware, (1972) MS, Princeton University, (1975) PhD, Princeton University, (1976) diff --git a/src/data/compiled_bios/1332.txt b/src/data/compiled_bios/1332.txt new file mode 100644 index 0000000000..cefb56eaf0 --- /dev/null +++ b/src/data/compiled_bios/1332.txt @@ -0,0 +1 @@ +Saurabh Bagchi Professor of Electrical and Computer EngineeringProfessor of Computer Science (courtesy)Joined department: 2004 EducationBS, Indian Institute of Technology, Kharagpur, Computer Science & Engineering (1996) MS, University of Illinois at Urbana-Champaign, Computer Science (1998) PhD, University of Illinois at Urbana-Champaign, Computer Science (2001) Professor Bagchi's research interests are in the areas of large-scale distributed systems, reliable and secure systems, and dependable wired and wireless computer networks. He is a Professor in the School of Electrical and Computer Engineering and the Department of Computer Science (by courtesy) at Purdue University in West Lafayette, Indiana. He is an ACM Distinguished Scientist (2013), a Senior Member of IEEE (2007) and of ACM (2009), a Distinguished Speaker for ACM (2012), an IMPACT Faculty Fellow at Purdue (2013-14), and an Assistant Director of the CERIAS security center at Purdue. He is the Cybersecurity Lead for the NSF Center at Purdue called NEEScomm. His work on fault tolerance in distributed systems has been rewarded with recognition of best papers or runner-up awards at several conferences (Sensys 2011, Supercomputing 2012, 2009, SecureComm 2008, etc.) and through the Seed for Success award at Purdue University twice. He is proudest of the 11 PhD students who have graduated from his research group and have gone on to wonderful careers in industry or academia. Selected PublicationsGaspar Modelo-Howard, Christopher Gutierrez, Fahad Ali Arshad, Saurabh Bagchi, and Yuan Qi, "pSigene: Webcrawling to Generalize SQL Injection Signatures", At the 44th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), pp. 1-12, June 23-26, 2014, Atlanta, GA.Subrata Mitra, Ignacio Laguna, Dong H. Ahn, Saurabh Bagchi, Martin Schulz, and Todd Gamblin, "Accurate Application Progress Analysis for Large-Scale Parallel Debugging", At the ACM International Symposium on Programming Language Design and Implementation (PLDI), pp. 193-203, Edinburgh, UK, June 9-11, 2014.Bowen Zhou, Jonathan Too, Milind Kulkarni, and Saurabh Bagchi, "WuKong: Automatically Detecting and Localizing Bugs that Manifest at Large System Scales", At the 22nd International ACM Symposium on High Performance Parallel and Distributed Computing (HPDC), pp. 131-142, New York City, New York, June 17-21, 2013. diff --git a/src/data/compiled_bios/1333.txt b/src/data/compiled_bios/1333.txt new file mode 100644 index 0000000000..b3169d350f --- /dev/null +++ b/src/data/compiled_bios/1333.txt @@ -0,0 +1 @@ +Bedrich Benes Professor of Computer Graphics Technology Professor of Computer Science (courtesy)Joined department: Spring 2018 EducationPhD, Czech Technical University in Prague, Computer Science (1998) MS, Czech Technical University in Prague, Computer Science (1991) Bedrich Benes is Professor in the Department of Computer Graphics Technology and Computer Science (by courtesy) at Purdue University at West Lafayette, Indiana and director of High Performance Computer Graphics Laboratory at Purdue. He is also editor in chief of Computer Graphics Forum journal. He studied Computer Science and received his Master of Science and doctorate from Czech Technical University in Prague. Bedrich's research areas include Geometric Modeling, Procedural Modeling, Real-Time Rendering, and High Performance Computer Graphics. Selected PublicationsOndrej Stava, Juraj Vanek, Bedrich Benes, Nathan Carr, and Radomir Mech. 2012. Stress relief: improving structural strength of 3D printable objects. ACM Trans. Graph. 31, 4, Article 48 (July 2012),Vojtech Krs, Ersin Yumer, Nathan Carr, Bedrich Benes, and Radomir Mech. 2017. Skippy: single view 3D curve interactive modeling. ACM Trans. Graph. 36, 4, Article 128 (July 2017),Soeren Pirk, Vojtech Krs, Kaimo Hu, Suren Deepak Rajasekaran, Hao Kang, Yusuke Yoshiyasu, Bedrich Benes, and Leonidas J. Guibas. 2017. Understanding and exploiting object interaction landscapes. ACM Trans. Graph. 36, 4, Eric Guerin, Julie Digne, Eric Galin, Adrien Peytavie, Christian Wolf, Bedrich Benes, and Benoit Martinez. 2017. Interactive example-based terrain authoring with conditional generative adversarial networks. ACM Trans. Graph. 36, 6, Article 228 (November 2017) Soeren Pirk, Ondrej Stava, Julian Kratt, Michel Abdul Massih Said, Boris Neubert, Radomir Mech, Bedrich Benes, and Oliver Deussen. 2012. Plastic trees: interactive self-adapting botanical tree models. ACM Trans. Graph. 31, 4, Article 50 (July 2012), diff --git a/src/data/compiled_bios/1334.txt b/src/data/compiled_bios/1334.txt new file mode 100644 index 0000000000..42434f6607 --- /dev/null +++ b/src/data/compiled_bios/1334.txt @@ -0,0 +1 @@ +Alok R. Chaturvedi Professor of Management Professor of Computer Science (courtesy)Director, Purdue Homeland Security Institute Joined department: 2004 EducationBSc, Birla Institute of Technology, Ranchi India, Mechanical Engineering (1980) MS, University of Wisconsin, MIS/Computer Science (1985) PhD, University of Wisconsin, MIS/Computer Science (1989) diff --git a/src/data/compiled_bios/1335.txt b/src/data/compiled_bios/1335.txt new file mode 100644 index 0000000000..46f8b0750c --- /dev/null +++ b/src/data/compiled_bios/1335.txt @@ -0,0 +1 @@ +William S. Cleveland Shanti S. Gupta Distinguished Professor of StatisticsProfessor of Computer Science (courtesy)Joined department: 2004 EducationAB, Princeton University, Mathematics PhD, Yale University, Statistics William S. Cleveland has developed many methods for data visualization, statistical model building, and machine learning that are now widely used by researchers in all of the major disciplines of engineering and the physical, biological, health, and social sciences. This widespread usage of his work has come through developing the methods in the course of attacking problems of learning from data in a number of disciplines of science and engineering including visual perception, computer networking, environmental science, and healthcare engineering; an integration of knowledge from mathematics, statistics, computer science, and cognitive science; work on the design and implementation of software systems that carry out the methods; and a focus on the transfer of knowledge broadly to science and engineering through 4 books, over 100 published articles, and hundreds of lectures and short courses. Cleveland's two books The Elements of Graphing Data and Visualizing Data have been reviewed in many journals from a wide variety of disciplines, and Elements was selected for the Library of Science. J. Lodge reviewed Elements in Atmospheric Environment and wrote: ``certain kinds of tendency toward bad graphics could be cured if as many authors as possible would not just read, but, in the words of the Anglican Prayer Book, `learn, mark, and inwardly digest' this volume.'' B. Gunter reviewed Visualizing in Technometrics and wrote: ``This is a terrific book --- in my opinion, a path-breaking book. Get it. Read it. Practice what it preaches. You will improve the quality of your data analysis.'' In 1996 Cleveland was chosen Statistician of the Year by the Chicago Chapter of the American Statistical Association. In 2002 he was selected as a Highly Cited Researcher by the American Society for Information Science & Technology in the newly formed mathematics category. He has twice won the Wilcoxon Prize and once won the Youden prize from the statistics journal Technometrics. He is a Fellow of the American Statistical Association, the Institute of Mathematical Statistics, and the American Association of the Advancement of Science, and is an elected member of the International Statistical Institute. Cleveland received an A.B. in Mathematics from Princeton; his senior thesis adviser was probabilist William Feller. He received his Ph.D. in Statistics from Yale University; his Ph.D. thesis adviser was statistician Leonard Jimmie Savage. diff --git a/src/data/compiled_bios/1336.txt b/src/data/compiled_bios/1336.txt new file mode 100644 index 0000000000..edfa4f61c5 --- /dev/null +++ b/src/data/compiled_bios/1336.txt @@ -0,0 +1 @@ +David S. Ebert Professor of Electrical and Computer EngineeringProfessor of Computer Science (courtesy)Joined department: 2003 EducationBS, The Ohio State University, Computer and Information Science (1986) MS, The Ohio State University, Computer and Information Science (1988) PhD, The Ohio State University, Computer and Information Science (1991) David Ebert is an Associate Professor in the School of Electrical and Computer Engineering at Purdue University. He received his Ph.D. from the Computer and Information Science Department at The Ohio State University in 1991. His research interests are scientific, medical, and information visualization, computer graphics, animation, and procedural techniques. Dr. Ebert performs research in volume rendering, illustrative visualization, realistic rendering, procedural texturing, modeling, and animation, and modeling natural phenomena. Ebert has been very active in the graphics community, teaching courses, presenting papers, serving on and co-chairing many conference program committees, serving on the ACM SIGGRAPH Executive Committee and serving as Editor in Chief for IEEE Transactions on Visualization and Computer Graphics. Ebert is also editor and co-author of the seminal text on procedural techniques in computer graphics, Texturing and Modeling: A Procedural Approach, whose third edition was published in December 2003. Selected PublicationsSvakhine, N., Jang, Y., Ebert, D. S., Gaither, K., "Illustration and Photography-Inspired Visualization of Flows and Volumes", IEEE Visualization, 2005Mora, B. and Ebert, D. S., "Low Complexity Maximum Intensity Projection", ACM Transactions on Graphics, Vol. 24, No. 4, October 2005Svakhine, N., Ebert, D.S., Stredney, D., "Illustration Motifs for Effective Medical Volume Illustration", IEEE Computer Graphics and Applications, Vol. 25 No. 3, pp. 31-39, 2005 diff --git a/src/data/compiled_bios/1337.txt b/src/data/compiled_bios/1337.txt new file mode 100644 index 0000000000..a5fc9c2e9a --- /dev/null +++ b/src/data/compiled_bios/1337.txt @@ -0,0 +1 @@ +Patrick Thomas Eugster Adjunct Associate Professor of Computer Science Joined department: Spring 2006 EducationPhD, Swiss Federal Institute of Technology in Lausanne, Computer Science (2001) MS, Swiss Federal Institute of Technology in Lausanne, Computer Science (1998) Professor Eugster's research is concerned with the development of distributed systems software. Particular topics of interest include fault tolerant algorithms, middleware, and programming languages and models. Professor Eugster was educated in Switzerland, and has worked for both Swiss Federal Institutes of Technology in Lausanne (EPFL) and in Zurich (ETHZ), as well as for Sun Microsystems (now Oracle) prior to joining Purdue University. He has authored over 70 refereed articles, and is a member of ACM and IEEE. Among other awards for his research and teaching, Professor Eugster has received an NSF CAREER award (2007) and Experienced Researcher fellowship by the Alexander von Humboldt foundation (2011). He is also a member of the 2011 DARPA Computer Science Study Panel. Selected PublicationsD. Alistarh, P. Eugster, M. Herlihy, A. Matveev, and N. Shavit, "StackTrack: an Automated Transactional Approach to Concurrent Memory Reclamation", 9th European Conference on Computer Systems (EuroSys 2014), article 25, April 2014C. Jayalath and P. Eugster, "Efficient Geo-Distributed Big Data Processing with Rout", 33rd IEEE International Conference on Distributed Computing Systems (ICDCS 2013), pages 470-480, June 2013T. Freudenreich, P. Eugster, S. Frischbier, S. Appel, and A. Buchmann, "Implementing Federated Object Systems", 27th European Conference on Object-Oriented Programming (ECOOP 2013), pages 230-254, July 2013 diff --git a/src/data/compiled_bios/1338.txt b/src/data/compiled_bios/1338.txt new file mode 100644 index 0000000000..396ed22bc2 --- /dev/null +++ b/src/data/compiled_bios/1338.txt @@ -0,0 +1 @@ +Michael Gribskov Professor of Biological SciencesProfessor of Computer Science (courtesy)Joined department: 2004 EducationBS, Oregon State University, Biochemistry and Biophysics (1979) PhD, University of Wisconsin, Molecular Biology (1985) Dr. Gribskov has wide ranging interests in computational molecular biology. These interests fall into several main categories. One area of interest is the application of pattern recognition and machine learning techniques to biomolecules. These approaches are often used in the functional annotation of molecules based on their sequences. A second area is the design and implementation of biological databases, and the development of interactive data laboratories that integrate analytical tools and databases. Finally, Dr. Gribskov is interested in the development of interoperable resources to support genomics and systems biology using approaches such as database federation, data mediation, and web services. Since 2003, Dr. Gribskov has been the president of the International Society for Computational Biology, the largest professional society devoted to bioinformatics and computational biology. Selected PublicationsWang, D., Harper, J.F., and Gribskov, M., "Systematic trans-genomic comparison of protein kinases between Arabidopsis thaliana and Saccharomyces cerevisiae", Plant Physiology Volume 132, pp. 2152-2165, 2003Nair, T.M., Zheng, C.L., Fink, J.L, Stuart, R.O., and Gribskov, M., "Rival penalized competitive learning (RPCL): a topology determining algorithm for analyzing gene-expression data", Computational Biology and Chemistry, 27, pp. 563-574, 2003Zheng, C.L., de Sa, V.R., Gribskov, M., and Nair, T.M., "On selecting features from splice junctions: An analysis using information theoretic and machine learning approaches", Genome Informatics, Volume 14, pp. 73-83, 2003 diff --git a/src/data/compiled_bios/1339.txt b/src/data/compiled_bios/1339.txt new file mode 100644 index 0000000000..e2354899c9 --- /dev/null +++ b/src/data/compiled_bios/1339.txt @@ -0,0 +1 @@ +Antony L. Hosking Adjunct Associate Professor of Computer Science Joined department: Spring 1995 EducationPhD, University of Massachusetts, Computer Science (1995) MSc, University of Waikato, Computer Science (1987) BSc, University of Adelaide, Mathematical Sciences (1985) Dr. Hosking works in the area of programming language design and implementation, with specific interests in implementation of managed languages (e.g., Java, C#), database and persistent programming languages, dynamic memory management ("garbage collection"), compiler optimizations, and architectural and operating system support for programming languages and applications. He is co-author of the landmark reference work on automatic memory management ??? The Garbage Collection Handbook: The art of automatic memory management . Dr. Hosking was named a Distinguished Scientist of the Association for Computing Machinery in 2012, and is a Member of the Institute of Electrical and Electronics Engineers. Selected PublicationsGammie P, Hosking AL, Engelhardt K, "Relaxing Safely: Verified On-the-Fly Garbage Collection for x86-TSO", ACM SIGPLAN International Conference on Programming Language Design and Implementation (PLDI), pages 99Portland, Oregon, June 2015, pages 99???109, doi: 10.1145/2737924.2738006Lin Y, Wang K, Blackburn SM, Hosking AL, Norrish M, "Stop and Go: Understanding Yieldpoint Behavior", ACM SIGPLAN International Symposium on Memory Management (ISMM), pages 70-80, Portland, Oregon, June 2015, doi: 10.1145/10.1145/2754169.2754187Hussein A, Hosking AL, Payer M, Vick CA, "Don't Race the Memory Bus: Taming the GC Leadfoot", ACM SIGPLAN International Symposium on Memory Management (ISMM), pages 15-27, Portland, Oregon, June 2015, doi: 10.1145/2754169.2754182 Lin Y, Blackburn SM, Hosking AL, and Norrish M. "Rust as a language for high performance GC implementation". ACM SIGPLAN International Symposium on Memory Management (ISMM), pages 89-98, Santa Barbara, California, June 2016, doi: 10.1145/2926697.2926707 Hussein A, Payer M, Hosking AL, and Vick CA. "Impact of GC design on power and performance for Android". ACM International Systems and Storage Conference (SYSTOR), Haifa, Israel, May 2015. doi: 10.1145/2757667.2757674 diff --git a/src/data/compiled_bios/134.txt b/src/data/compiled_bios/134.txt new file mode 100644 index 0000000000..c7362bd7ad --- /dev/null +++ b/src/data/compiled_bios/134.txt @@ -0,0 +1 @@ + Zucker lab Research People Publications About Steve Contact Research Computational vision is at the heart of biomedicine and robotics, but is still quite primitive when compared with our own visual sense. We effortlessly demonstrate enormous flexibility and generality, which hides its staggering complexity: Nearly half of the primate brain processes visual information. Our group is attempting to put the requirements of vision systems together with insights from neurophysiology and the rigor of mathematics to develop an abstract theory of computational vision. Based on differential geometry, it leads to methods of curve detection and shading and texture analysis. Computational Vision Curvature and co-circularity Flows and 3D Object shape Computational Neuroscience Computing with neuronal cliques Colors, shape, material Learning and high-order statistics Computational Biology Plant growth and development Heart myofibril geometry Crowd computing with bacteria diff --git a/src/data/compiled_bios/1340.txt b/src/data/compiled_bios/1340.txt new file mode 100644 index 0000000000..241f59479a --- /dev/null +++ b/src/data/compiled_bios/1340.txt @@ -0,0 +1 @@ +Y. Charlie Hu Professor of Electrical and Computer EngineeringProfessor of Computer Science (courtesy)Joined department: 2003 EducationM.S., Yale University, Computer Science (1992) MPhil, Yale University, Computer Science (1992) PhD, Harvard University, Computer Science (1997) Y. Charlie Hu's research interests are in Distributed Systems, Operating Systems, Internet and Wireless Networking, and High Performance Computing. He has done extensive work on smartphone energy profiling and debugging, data center networking and cloud computing, program-counter-based techniques for the I/O management in operating systems, Internet routing, routing security, network measurement, peer-to-peer overlay networking, the synergy between peer-to-peer and grid computing, and the synergy between peer-to-peer and mobile ad hoc networking. He has published over 150 papers in these areas, including publications in ACM Transactions on Computer Systems, ACM Transactions on Mathematical Software, IEEE Transactions on Computers, ACM/IEEE Transactions on Networking, IEEE Transactions on Parallel and Distributed Systems, Journal of Parallel and Distributed Computing, IEEE JSAC, USENIX OSDI, USENIX HotOS, NSDI, EuroSys, HPCA, ACM SIGCOMM, Hotnets, ACM Sigmetrics, ACM/USENIX IMC, ACM CoNEXT, IEEE INFOCOM, and IEEE/ACM SC Conferences. Prof. Hu received the National Science Foundation CAREER award in 2003, and the Honda Initiation Grant Award in 2002. He served as a TPC Vice Chair for SBAC/PAD 2009, ICDCS 2007 and ICPP 2004 and a co-founder and TPC co-chair for the International Workshop on Mobile Peer-to-Peer Computing. Prof. Hu is an ACM Distinguished Scientist and an IEEE senior member. He is a Purdue University Faculty Scholar 2011-2016. Selected PublicationsAbhinav Pathak, Y. Charlie Hu, and Ming Zhang, "Where is the energy spent inside my app? Fine Grained Energy Accounting on Smartphones with Eprof", Proc. of EuroSys: European Conference on Computer Systems,, Bern, Switzerland, April 10-13, 2012 (Best Student Paper Award)Zheng Zhang, Ying Zhang, Y. Charlie Hu, Z. Morley Mao, "iSPY: Detecting IP Prefix Hijacking on My Own", Proceedings of ACM SIGCOMM, Seattle, WA, August 17-22, 2008Chris Gniady, Ali R. Butt, and Y. Charlie Hu, "Program Counter Based Pattern Classification in Buffer Caching", Proceedings of the 6th Symposium on Operating Systems Design and Implementation (OSDI), San Francisco, CA, December 6-8, 2004 diff --git a/src/data/compiled_bios/1341.txt b/src/data/compiled_bios/1341.txt new file mode 100644 index 0000000000..b5afcf4bd1 --- /dev/null +++ b/src/data/compiled_bios/1341.txt @@ -0,0 +1 @@ +Sabre Kais Professor of Chemical PhysicsProfessor of Computer Science (courtesy)Joined department: 2005 EducationBS, Hebrew University, (1983) MS, Hebrew University, (1984) PhD, Hebrew University, (1989) Prof. Kais research is in the field of quantum information and computation and quantum phase transitions. In particular, his research focuses on quantifying entanglement, quantum algorithms, teleportation using quantum dots, decoherence in spin systems and solid state implementations of qubits. Prof. Kais received the National Science Foundation Career Award in 1997. He was also awarded the Purdue University Faculty Scholar Award (2004-2009), and the Guggenheim Fellowship Award (2005). In 2007, Prof. Kais was the Elected Fellow of the American Physical Society and the Elected Fellow of the American Association for the Advancement of Science. Recently, Purdue University received $1.5 million in National Science Foundation (NSF) funding to establish a research center to study quantum information science. The Center for Quantum Information and Computation for Chemistry will investigate information techniques used to gain novel viewpoints on diverse chemical processes from photosynthesis to bond breaking. http://web.ics.purdue.edu/~kais/qc/ Selected PublicationsQing Xu, Sabre Kais, maxim Naumov and Ahmed Sameh, "Exact Calculation of Entanglement in a 19-site 2D Spin System", Phys. Rev. A 81, 022324 (2010)Anmer Daskin and Sabre Kais, "Decomposition of unitary matrices for finding quantum circuits: Application to molecular Hamiltonians", J. Chem. Phys. 134, 144112 (2011)Anmer Daskin and Sabre Kais, "Group Leaders Optimization", Mol. Phys. 109, 761-772 (2011) diff --git a/src/data/compiled_bios/1342.txt b/src/data/compiled_bios/1342.txt new file mode 100644 index 0000000000..5934f60ab7 --- /dev/null +++ b/src/data/compiled_bios/1342.txt @@ -0,0 +1 @@ +Milind Kulkarni Associate Professor of Electrical and Computer Engineering Associate Director of Graduate Admissions, Electrical and Computer Engineering Associate Professor of Computer Science (courtesy)Joined department: Fall 2018 diff --git a/src/data/compiled_bios/1343.txt b/src/data/compiled_bios/1343.txt new file mode 100644 index 0000000000..d1c8f145a8 --- /dev/null +++ b/src/data/compiled_bios/1343.txt @@ -0,0 +1 @@ +Yung-Hsiang Lu Professor of Electrical and Computer Engineering Professor of Computer Science (courtesy)Joined department: 2004 EducationBSEE, Taiwan University, Electrical Engineering (1992) MSEE, Stanford University, Electrical Engineering (1997) PhD, Stanford University, Electrical Engineering (2002) Dr. Lu's research is developing energy-efficient computing systems using system-level power management. The applications include distributed sensor networks, autonomous robots, wireless communication, and real-time systems. He received the Career Award from National Science Foundation in 2004 for developing advanced energy management in operating systems. Selected PublicationsYamini Nimmagadda, Karthik Kumar and Yung-Hsiang Lu, "Adaptation of Multimedia Presentations for Different Display Sizes in the Presence of Preferences and Temporal Constraints", IEEE Transactions on Multimedia, 12 (7), November 2010, pages 650-664Karthik Kumar and Yung-Hsiang Lu, "Cloud Computing for Mobile Users: Can Offloading Computation Save Energy?", IEEE Computer, 43(4), April 2010, pages 51-56Nathaniel Pettis and Yung-Hsiang Lu, "A Homogeneous Architecture for Power Policy Integration in Operating Systems", IEEE Transactions on Computers, 58(7), July 2009, pages 945-955 diff --git a/src/data/compiled_bios/1344.txt b/src/data/compiled_bios/1344.txt new file mode 100644 index 0000000000..8b31e2ad64 --- /dev/null +++ b/src/data/compiled_bios/1344.txt @@ -0,0 +1 @@ +Cristina Nita-Rotaru Adjunct Professor of Computer ScienceJoined department: 2003 EducationBS, Politehnica University of Bucharest, Computer Science (1995) MS, Politehnica University of Bucharest, Computer Science (1996) MSE, The Johns Hopkins University, Computer Science (2000) PhD, The Johns Hopkins University, Computer Science (2003) Cristina Nita-Rotaru joined Purdue in 2003, where she conducts her research within the Dependable and Secure Distributed Systems Laboratory (DS^2). Cristina Nita-Rotaru's research interests lie in designing distributed systems and network protocols and applications that are dependable and secure, while maintaining acceptable levels of performance. Her work is funded by the Defense Advanced Research Projects Agency (DARPA) and by the National Science Foundation (NSF). Selected PublicationsH. Lee, J. Seibert, E. Hoque, C. Killian. and C. Nita-Rotaru., "Turret: A Platform for Automated Attack Finding in Unmodified Distributed System Implementations.", ICDCS 2014A. Newell, D. Obenshain, T. Tantillo, C. Nita-Rotaru, and Y. Amir., ". Increasing Network Resiliency by Optimally Assigning Diverse Variants to Routing Nodes", DSN 2013R. Potharaju, N. Jain, and C. Nita-Rotaru, "Juggling the Jigsaw: Towards Automated Problem Inference from Network Trouble Tickets.", USENIX NSDI 2013 diff --git a/src/data/compiled_bios/1345.txt b/src/data/compiled_bios/1345.txt new file mode 100644 index 0000000000..6600a77333 --- /dev/null +++ b/src/data/compiled_bios/1345.txt @@ -0,0 +1 @@ +Sanjay G. Rao Associate Professor Electrical and Computer Engineering Associate Professor Computer Science (courtesy)Joined department: Spring 2014 diff --git a/src/data/compiled_bios/1346.txt b/src/data/compiled_bios/1346.txt new file mode 100644 index 0000000000..88b7f07c22 --- /dev/null +++ b/src/data/compiled_bios/1346.txt @@ -0,0 +1 @@ +Victor Raskin Distinguished Professor of English and LinguisticsProfessor of Computer Science (courtesy)Joined department: 2008 EducationPh.D. in Mathematical, Structural, and Computational Linguistics, Moscow State University, Moscow, USSR, Linguistics, Mathematics, Computer Science (1970) M.S. in Mathematical Structural, and Computational Linguistics, Moscow State University, Moscow, USSR, Mathematics, Linguistics, Computer Science (1966) B.S. in Mathematical, Structural, and Computational Linguistics, Moscow State University, Moscow, USSR, Mathematics, Computer Science, Linguistics (1964) diff --git a/src/data/compiled_bios/1347.txt b/src/data/compiled_bios/1347.txt new file mode 100644 index 0000000000..27c726cfb1 --- /dev/null +++ b/src/data/compiled_bios/1347.txt @@ -0,0 +1 @@ +Luo Si Adjunct Associate Professor of Computer Science Joined department: Fall 2006 EducationPhD, Carnegie Mellon University, Language and Information Technologies (2006) MS, Tsinghua University, Computer Science and Technology (2000) BS, Tsinghua University, Computer Science and Technology (1998) Professor Si's research spans a range of topics in information retrieval, machine learning, text mining, speech and multimedia processing, and data mining. His recent research focuses on federated search (distributed information retrieval), probabilistic models for information filtering, and text/data mining for life science. Professor Si has designed systems with his colleagues and acquired good results in evaluation campaigns such as TREC (Text Retrieval Conference) and CLEF (cross-lingual evaluations forum). He has published more than 35 conference, journal and workshop papers. Selected PublicationsLuo Si and Jamie Callan, "Modeling Search Engine Effectiveness for Federated Search", In Proceedings of the Twenty Seventh Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2005, ACMRong Jin, Luo Si, ChengXiang Zhai, "A Study of Mixture Models for Collaborative Filtering", Journal of Information Retrieval, 2006Luo Si and Jamie Callan, "A Semi-Supervised Learning Method to Merge Search Engine Results", In ACM Transactions on Information Systems, 24(4), 2003 ACM diff --git a/src/data/compiled_bios/1348.txt b/src/data/compiled_bios/1348.txt new file mode 100644 index 0000000000..55620b4e47 --- /dev/null +++ b/src/data/compiled_bios/1348.txt @@ -0,0 +1 @@ +Jeffrey M. Siskind Associate Professor of Electrical and Computer EngineeringAssociate Professor of Computer Science (courtesy)Joined department: 2009 EducationBA, Israel Institute of Technology, Computer Science (1979) SM, Massachusetts Institute of Technology, Computer Science (1989) PhD, Massachusetts Institute of Technology, Computer Science (1992) diff --git a/src/data/compiled_bios/1349.txt b/src/data/compiled_bios/1349.txt new file mode 100644 index 0000000000..e52bee6483 --- /dev/null +++ b/src/data/compiled_bios/1349.txt @@ -0,0 +1 @@ +T. N. Vijaykumar Professor of Electrical and Computer EngineeringProfessor of Computer Science (courtesy)Joined department: 2003 EducationBE (Hons), Birla Institute of Technology and Science, Electrical and Electronics Engineering (1990) MSc (Tech), Birla Institute of Technology and Science, Computer Science (1992) MS, University of Wisconsin, Computer Science (1997) PhD, University of Wisconsin, Computer Science (1997) diff --git a/src/data/compiled_bios/135.txt b/src/data/compiled_bios/135.txt new file mode 100644 index 0000000000..cbe775edc2 --- /dev/null +++ b/src/data/compiled_bios/135.txt @@ -0,0 +1 @@ + M. P. Anantram's Website Menu Skip to content Home About Classes Code and Patents Contact Group Publications Research Electrical, Electromechanical, and Optoelectronic Response of Nanodevices We are primarily a Theory & Modeling group who work on a variety of problems in nano devices and materials. The focus of our work centers around developing an understanding of the device physics of both semiconductor and bio nanstructres. We use a variety of tools to model these structures. To find the atomic coordinates we use a variety of semiclassical, Monte Carlo and quantum molecular dynamics method. To study the electronic properties, we use both density functional theory and tight binding methods. To study the electrical transport properties of nanostructures,we develop both algorithms and code based on Greens function methods. We work on both fundamental and applied problems. Our current directions of focus are: DNA Nanostructures: Figure: DNA consists of two single strands in a double helix. The distance between the bases is ~ 3.4 . Biomolecules (DNA, peptides and RNA) offer a platform for electronic devices. Electrical methods for sequencing and disease detection, with the biomolecule as channel for charge transport have recently been demonstrated. Deoxyribo Nucleic Acids (DNA), the building block of life, is a nanoscale material that can be engineered precisely. Its immense potential arises from the ability to form arbitrary sequences with high accuracy and create complex 1D, 2D and 3D structures. From the viewpoint of material science and engineering, the electronic properties of DNA are important for (i) engineering sequences with device properties and (ii) all electrical methods for disease detection. The main challenges to move the field forward are the inter-related needs to develop a robust design methodology that can yield sequences with specific electrical properties and gain the ability to rapidly predict the conductance of a given sequence. This is a huge challenge which needs multiple iterations between computational and experimental efforts because (a) the environment cannot be precisely controlled, (b) of the sheer large number of possible sequences even for a strand that is only ten bases long and (c) there are currently not enough controlled experiments with a variety of base sequences to provide inputs or feedback to design. Along with our experimental collaborators, we are pursuing amulti-pronged approach combining theory & modeling , the efficient use of data, chemical synthesis, and transport experiments to effectively design electrical properties of DNA . At the mesoscopic level, DNA consists of four distinct building blocks, Guanine (G), Adenine (A), Thymine (T), and Cytosine (C). The most common form of DNA is quasi one-dimensional, and consists of two complementary single strands in a double helix. Each strand consists of the four building blocks linked together by a sugar-phosphate backbone. The strands are held together by hydrogen bonding between bases on complementary strands. When isolated, the four building blocks have distinct energy levels, highest occupied (HOMO) and lowest unoccupied (LUMO) molecular orbitals, electron affinities, and ionization potentials, all of which are important factors in determining the electronic properties. Synthetic chemistry allows these building blocks to be further expanded by using artificial bases, where the mentioned energies can be designed. The rich and interesting electronic properties of DNA emerge from the interaction between bases, both along and between strands, and with the backbone and environment. The different energy levels and ionization potentials of bases provide a vehicle to engineer the bandstructure along a DNA strand, which gives rise to the possibility to create wells , barriers and superlattices that form the materials basis for electronic devices such as resonant tunneling diodes, heterostructure junctions, as well as more exotic species such as quantum-interference (QI)-based transistor platforms. Moreover, the recent emergence of 2D and 3D DNA-based nanostructures, which are engineered via techniques like DNA origami provides a platform that is capable of integrating unique DNA electronic structures into a device platform or even into higher dimensional device integration (3D). Achieving this goal has been difficult with conventional semiconductor technology, and any integration has been difficult at the molecular-scale. As such, DNA-based devices provide a unique opportunity to overcome several of the issues with both conventional electronics (bottom-up manufacturing and quantum transport) and nanoscale electronics (reproducibility and integration). As such, these devices may form the basis for developing widely deployable devices that exploit quantum transport effects, or may form a basis for a more conventional vehicle for electronics beyond the limits of lithography. One can think of quantum wells and barriers constructed from DNA as having transmission-resonances akin to double barrier resonant tunneling diodes and superlattices built from conventional semiconductor heterostructures. Additionally, these devices may be biocompatible, thus opening opportunities for utilizing the electronic properties of DNA for sensing, diagnostics, or health-care applications. Given this broad-range of potential applications, the primary goal of this proposal is to iteratively develop these building-blocks, through the intimate interaction between theory, experiment, and synthesis, so that large-scale systems and DNA-based applications can begin being actively designed, built, and utilized. An additional very exciting field is the link between diseases and DNA sequences, mutations, and chemical modifications. The transport through DNA is inherently quantum mechanical in nature, and as such mutations in the bases cause a change in energy levels, which translates sequence information into transport properties. This fact has given rise to ideas centering on whether these mutations can be electrically detected. Of great interest are recent experiments that show the potential to detect diseases and sequence DNA by measuring electrical conductance of a single DNA molecule. These studies demonstrate the potential for an all-electrical method for disease detection, a technology that has promise to be portable and inexpensive. Even more important is that it can be used in situations where only a small number of mutated DNA strands are available; situations where conventional amplification methods involving polymerase chain reaction are not suitable. Therefore, the development of a predictive capability for DNA transport properties based on the building blocks will enable the exploration of new paradigms for sensing applications and genetic disease detection. To achieve these goals we are pursuing a a three pronged iterative approach involving (i) modeling and theory involving reduced order models (ROM), (ii) a data driven approach to modeling that connects full order models (FOM) to ROM, and (iii) continuous interplay between theory, transport experiments, and chemical synthesis to verify design predictions and provide feedback for model and performance improvement. 2. Resistive and Phase Change Memory Devices: Figure: Resistive Memory Device: (left) Shows filament growth and breakage, which leads to a low and high resistance state. (right) A model with three and seven Copper atom filaments that we model using DFT and Greens function approaches. Conductive filaments play a role in a number of electronic applications varying from dielectric breakdown, phase change memory and resistive memories. In the case of memory devices, they are a boon, which makes switching between high and low resistance levels possible. The high and low resistance levels in turn are used to represent the 0 and 1 logic states. The conductive filaments in memory devices can be anywhere from a few to tens of nanometers in length. The non equilibrium phenomena of formation and stability of conductive filaments is an open problem that is rich in basic science and of interest to applications. In the area of electronics, the importance of conductive filaments arises from the need for large amounts of non volatile memory (defined to be memory that retains data even when powered down) in both mobile applications and data centers. Applications require nonvolatile memory to have short time scales for reading and writing of the memory state. Flash memory is the current leading nonvolatile memory technology. It is scaled and at the 25 nm technology node, the data retention time is more than ten years. However, continued scaling results in the degradation of retention time and endurance; therefore, the promise of significant areal density improvement beyond todays flash devices is limited. In flash devices, electron charge is the state variable for memory storage, and the number of electrons dramatically decreases with scaling. The presence or absence of electrons in a conducting island buried in an oxide determines the memory state. Recent studies show that when the technology node reaches 16 nm, the memory state will be represented by only ~16 electrons stored in the oxide. In this case, tunneling of a few of these electrons will lead to loss of data. As a result, scaled Flash memory devices can easily fail due to space radiation and thermal fluctuations. To overcome the problems with flash memory scaling and performance, there is interest in technologies that do not use electron charge as a state variable. As opposed to charge based memory (where electrons and holes store information), it is possible to store information in filamentary structures, which represent either the presence or absence of atoms. Atoms are heavy and as a result, the memory state can be retained for a long time. In memory devices, the filamentary structures are formed in dielectric materials, where the presence or absence of a filament bridging electrodes can greatly alter the resistance. Changing the state variable from electron to atom location represents a transformational shift. Conductive filaments are a wide spread physical phenomenon without sufficient understanding and affecting many important technologies that include computer memory, reliability of thin film devices, and power electronics. We are developing a multi-physics approach to understandfilament formation caused by an electric field. The goal is to develop a physics based understanding of filament formation and kinetics. Theoretical and computational models to address: filament formation, high and low resistance values, and switching time between the two resistance values are at the core of our work. The approach involves solving equations underlying both atom movement and electron flow using both Monte Carlo and Greens function based approaches. Temperature plays a crucial role and the heat equation is an important component. 3. Theory and Algorithms: Quantum mechanical effects play an important role in determining the characteristics of nanoelectronic devices. These devices can be classified into two different categories (i) devices where operation is classical but quantum corrections are necessary to model them accurately and (ii) devices where quantum mechanics is central to device operation. Classical transistors which can be quite accurately modeled by drift-diffusion and hydrodynamic equations with some quantum corrections that account for the finite width of the inversion layer and tunneling through the oxide, is an example in the first category. Examples that belong to the second category include many emerging device technologies: (a) tunnel transistors (which can have an inverse sub threshold slope of smaller than classical 60 mV per decade of current), (b) superlattice based quantum cascade devices, (c) spintronic devices, (d) device concepts based on topological insulators and (e) quantum interference devices. In addition, quantum mechanical methods are also required to study the properties of devices based on new nanomaterials such as nanotubes, graphene and nanowires. In these structures, there is significant variation in the electronic properties (band structure, effective mass and density of states) depending on the surface passivation, diameter, and crystalline orientation / chirality. The lack of a set of transferable material properties for these variations makes it necessary to develop atomistic models where the location of atoms can be accounted for accurately. The modeling of devices at the nanoscale is fundamentally quantum mechanical, with robust methods being a necessity for devices in category (ii) and those based on new nanomaterials. New methods need to be developed to make a transformative change by improving simulation speed by at least one order of magnitude. At the simplest level, when the applied voltages and the temperatures are extremely low (typically sub 4K), a nanodevice behaves phase coherently and an approach based on solving for the scattering states and using the Landuaer-Buttiker approach is justified in many cases. To use the Landauer-Buttiker approach, one needs to ensure that the device dimension is significantly smaller than the phase coherence length of the electron wave. However, in almost all situations of interest, devices operate at close to room temperature and away from equilibrium. Momentum and energy relaxation, and the breaking of quantum mechanical phase are important due to excitations such as phonons at finite biases even at low temperatures. The quantum mechanical modeling of devices by including decoherence and scattering has made some progress using a variety of interrelated many-body approaches: non equilibrium Greens function, Liouville equation, density matrix, Kubo-based theory, Pauli master equation and Wigner function. It should also be mentioned that the Monte-Carlo approach has been specifically successful in probing the device physics of a wide class of nanodevices with complicated scattering mechanisms; the only drawback being that it cannot handle quantum coherence. In modeling the electrical properties of devices, the Greens function approach has been rather successful in modeling devices using simplified Hamiltonians in the ballistic (phase-coherent limit) and in some cases with scattering. More recently, this approach has also been use to model silicided contacts in an abinitio manner. We are performing research with our Applied Math collaborator Prof. Ulrich Hetmaniuk to make progress towards the development of mathematical algorithms that can be used in simulation tools to probe device physics and predict the current-voltage characteristics of a broad class of nanodevices. While our work has been primarily funded by the National Science Foundation, we also acknowledge support from the following industrial sponsors: Dalsa Teledyne, Winbond, SRC, and HRL Inc. Home About Classes Code and Patents Contact Group Publications diff --git a/src/data/compiled_bios/1350.txt b/src/data/compiled_bios/1350.txt new file mode 100644 index 0000000000..4c2475cbc0 --- /dev/null +++ b/src/data/compiled_bios/1350.txt @@ -0,0 +1 @@ +Jianlin Xia Professor of Mathematics Professor of Computer Science (courtesy)Joined department: 2014 EducationPh.D., University of California, Berkeley, Applied Mathematics (2006) diff --git a/src/data/compiled_bios/1351.txt b/src/data/compiled_bios/1351.txt new file mode 100644 index 0000000000..a41b256052 --- /dev/null +++ b/src/data/compiled_bios/1351.txt @@ -0,0 +1 @@ +Yiying Zhang Assistant Professor Electrical and Computer Engineering Assistant Professor of Computer Science (courtesy) diff --git a/src/data/compiled_bios/1352.txt b/src/data/compiled_bios/1352.txt new file mode 100644 index 0000000000..b456a5f632 --- /dev/null +++ b/src/data/compiled_bios/1352.txt @@ -0,0 +1 @@ +Ahmed K. Elmagarmid Professor Emeritus of Computer Science Joined department: 1988 EducationBS, University of Dayton, Computer Science (1977) MS, The Ohio State University, Computer and Information Science (1981) PhD, The Ohio State University, Computer and Information Science (1985) Professor Elmagarmid is the director of the Indiana Center for Database Systems and the Cyber Center in Discovery Park. He received a Presidential Young Investigator award from the National Science Foundation, and distinguished alumni awards from Ohio State University and the University of Dayton in 1993 and 1995, respectively. Professor Elmagarmid's research interests focus ranges on a large spectrum of foundational and application-oriented database research. He has done work in video databases, data quality and confidentiality, data integration, web service, bioinformatics and multidatabase systems. Professor Elmagarmid has written six books and more than 150 papers. He has several active grants from state and federal government agencies and the industry. Professor Elmagarmid is the editor-in-chief of Distributed and Parallel Databases: An International Journal, he is in the editorial board of the Information Sciences Journal, the International Journal of Communication Systems, and the editor of the book series on Advances in Database Systems. He has chaired and served on several program committees and served on several editorial boards. Professor Elmagarmid was a chief scientist in the Office of Strategy and Technology at Hewlett-Packard (HP). While at HP, he was responsible for software strategy coming out of the corporate CTO office and contributed to HP's innovations such as cross company roadmap initiatives. He also served on the technology council for HP. Professor Elmagarmid serves as an industry consultant in the areas of database systems. He has consulted with Telcordia Technology, Bellcore, IBM, CSC, Harris, D. H. Brown and Associates, MCC, Bell Northern Research, Molecular Design Labs, and UniSql to name a few. He is the owner of a recent patent on workflow database technology. Professor Elmagarmid leads an effort by the Qatar Foundation to establish an Alkhwarizmi Institute for Computer and Information Science and Engineering and serves as an advisor to the Sidra Medical and Research Center in Doha in the area of Medical Information Technology. He leads an effort to establish a gateway for a Community of Arab Scientists and Engineers (CASEhub.) He is a member of the Qatari Arab Joint Committee. Professor Elmagarmid is interested in science and technology policy. His particular interests are in institutional and cyber infrastructure development to execute S&T strategies. Selected PublicationsMohamed Yakout, Mikhail J. Atallah , Ahmed Elmagarmid, "Efficient Private Record Linkage", In the proceedings of the 25th International Conferenceon Data Engineering ICDE 2009,, Shanghai, ChinaAhmed K. Elmagarmid, Arjmand Samuel, Mourad Ouzzani, "Community-Cyberinfrastructure-Enabled Discovery inScienceand Engineering", Computing in Science and Engineering,, vol. 10, no. 5, pp. 46-53, September/October, 2008Ahmed K. Elmagarmid, Panagiotis G. Ipeirotis, Vassilios S.Verykios, "Duplicate Record Detection: A Survey", The IEEE Transations on knowledge and Data Engineering(TKDE), Vol. 19 No. 1 January 2007, pp. 1-16 diff --git a/src/data/compiled_bios/1353.txt b/src/data/compiled_bios/1353.txt new file mode 100644 index 0000000000..a8701f2da8 --- /dev/null +++ b/src/data/compiled_bios/1353.txt @@ -0,0 +1 @@ +Greg N. Frederickson Professor Emeritus of Computer Science Joined department: 1982 EducationAB, Harvard University, Economics (1969) MS, University of Maryland, Computer Science (1976) PhD, University of Maryland, Computer Science (1977) Professor Frederickson's areas of interest include the analysis of algorithms, with special emphasis on data structures, and graph and network algorithms. His recent work has focused on designing data structures to dynamically maintain information about graphs, on designing optimal algorithms for parametric search problems on trees, and on discovering graph decompositions that facilitate fast algorithms for shortest path problems. Professor Frederickson has served on the editorial boards of SIAM Journal on Computing , SIAM Journal on Discrete Mathematics , and IEEE Transactions on Computers , and Algorithmica. He has published four books, Dissections Plane & Fancy, Cambridge University Press, 1997, Hinged Dissections: Swinging & Twisting , Cambridge University Press, 2002, Piano-Hinged Dissections: Time to Fold!, A K Peters, 2006, and Ernest Irving Freese's `Geometric Transformations': the Man, the Manuscript, the Magnificent Dissections!, World Scientific Publishing, 2017. Professor Frederickson was recognized in 2003-04 as a Top Ten Outstanding Teacher in Science at Purdue, and was inducted into Purdue's Book of Great Teachers in 2008. He won a George Polya Award from the Mathematical Association of America in 2004, and again in 2009. Selected PublicationsGreg N. Frederickson, "Ambivalent data structures for dynamic 2-edge-connectivity and k smallest spanning trees", SIAM Journal on Computing, Volume 26, pp. 484-538, 1997Greg N. Frederickson and Roberto Solis-Oba, "Efficient algorithms for robustness in resource allocation and scheduling problems", Theoretical Computer Science, Volume 352, pp. 250-265, 2006Greg N. Frederickson and Barry Wittman, "Approximation algorithms for the traveling repairman and speeding deliveryman problems", Algorithmica, Volume 62, pp. 1198-1221, 2012 diff --git a/src/data/compiled_bios/1354.txt b/src/data/compiled_bios/1354.txt new file mode 100644 index 0000000000..ace6edf8a0 --- /dev/null +++ b/src/data/compiled_bios/1354.txt @@ -0,0 +1 @@ +Walter Gautschi Professor Emeritus of Computer ScienceProfessor Emeritus of MathematicsJoined department: 1963 EducationPhD, University of Basel, Mathematics (1953) Before coming to Purdue, Professor Gautschi did postdoctoral work as a Janggen-Phn Research Fellow at the National Institute of Applied Mathematics in Rome and at the Harvard Computation Laboratory. He also held positions at the National Bureau of Standards, the American University, the Oak Ridge National Laboratory, and the University of Tennessee. Since coming to Purdue, he has been a Fulbright Scholar at the Technical University of Munich and has held visiting appointments at the University of Wisconsin, Argonne National Laboratory, the Wright-Patterson Air Force Base, ETH Zurich, the University of Padova, and the University of Basel. He has been a Fulbright Lecturer, an ACM National Lecturer, and a SIAM Visiting Lecturer. He is, or has been, on the editorial boards of SIAM Journal on Mathematical Analysis, Numerische Mathematik, Calcolo, and Mathematics of Computation, and has served as a special editor for Linear Algebra and Its Applications. From 1984 to 1995, he was the managing editor of Mathematics of Computation and, since 1991, an honorary editor of Numerische Mathematik. In 2001, Professor Gautschi was elected a Corresponding Member of the Bavarian Academy of Sciences and Humanities and, in the same year, a Foreign Member of the Academy of Sciences of Turin. Selected PublicationsW. Gautschi, "Orthogonal Polynomials: Applications and Computations", Acta Numerica, (A. Iserles, Editor) Cambridge University Press, Cambridge, pp. 45-119, 1996W. Gautschi, "The Incomplete Gamma Functions Since Tricomi", Tricomi's Ideas and Contemporary Applied Mathematics, pp. 203-237, Atti dei Convegni Lincei, No. 147, Accademia Nazionale dei Lincei, Roma, 1998W. Gautschi, "Orthogonal Polynomials: Computation and Approximation", Oxford University Press, 2004 diff --git a/src/data/compiled_bios/1355.txt b/src/data/compiled_bios/1355.txt new file mode 100644 index 0000000000..83ec5a97c4 --- /dev/null +++ b/src/data/compiled_bios/1355.txt @@ -0,0 +1 @@ +Elias N. Houstis Professor Emeritus of Computer ScienceJoined department: 1984 EducationBS, University of Athens, Mathematics (1969) PhD, Purdue University, Mathematics (1974) Elias Houstis has served as acting and associate head of the Department of Computer Science. He is on the editorial board of Neural, Parallel and Scientific Computational, Computational Engineering Science, and HPC Users Web-Based journals and a member of the IFIP WG 2.5 Working Group in Numerical Software. Houstis's current research interests are in the areas of problem solving environments (PSEs), parallel computation, performance evaluation and modeling, computational intelligence, computational finance, and on-line learning. He is one of the principal designers of several domain specific PSEs (i.e., Parallel ELLPACK, PDELab) and numerous performance evaluation studies of PDE software and parallel architectures. He is leading the Parallel ELLPACK group, which is developing infrastructure and implementing methodologies for reusing "legacy" PDE software on a variety of physical and virtual parallel machines and designing a Web Parallel ELLPACK server. Houstis has been involved in the designing of a knowledge based framework (known as PYTHIA) to support the selection of algorithm and machine pairs for a given class of PDE problems based on performance knowledge. This framework has been applied to a simulation system for designing HPC systems (POEMS project), a virtual laboratory environment, and recommender system for mathematical software. He has published several books and over 120 technical articles. He has supervised 14 PhD students and several MS students. His research has been supported by the Air Force Office of Scientific Research, the Army Research Office, DARPA, DOE, ESPRIT, INTEL, IBM, AT&T, Kozo-Japan, Purdue University, National Science Foundation, and the Greek Research Foundation. diff --git a/src/data/compiled_bios/1356.txt b/src/data/compiled_bios/1356.txt new file mode 100644 index 0000000000..9c668c4fe9 --- /dev/null +++ b/src/data/compiled_bios/1356.txt @@ -0,0 +1 @@ +Bradley J. Lucier Professor Emeritus of Mathematics Professor Emeritus of Computer Science Joined department: 1981 EducationBSc (Honours), University of Windsor, Mathematics (1976) SM, University of Chicago, Applied Mathematics (1978) PhD, University of Chicago, Applied Mathematics (1981) Professor Lucier has worked for over twenty years on wavelet and multiresolution methods for image processing and other applications. He has a particular interest in applications in medical imaging (image compression for telemedicine, tomographic and MRI reconstruction, etc.). The selected publications below indicate some of these interests. The first paper is a study of radiologist performance in interpreting wavelet-compressed mammographic images. The compression method was designed specifically to keep image features that are needed to interpret mammograms. The results showed that after compressing the images over 50-to-1 (on average; compression rates ranged from 14-to-1 for mammograms with dense structures to over 2000-to-1 for mammograms with few optical structures) radiologists interpreted the compressed mammograms more accurately than they interpreted the originals. Such effective data compression may allow mammographic screenings to be performed by technicians in areas traditionally underserved by the medical community, with the data sent over regular phone lines to radiologists in medical centers for interpretation. The second paper introduces a new numerical method for image smoothing based on the total variation norm, as introduced in a famous 1992 paper by Rudin, Osher, and Fatemi. Our new method is more isotropic and exhibits less smoothing than previous methods. Finally, the third paper with my student Jingyue Wang gives the first provable error bounds for Rudin-Osher-Fatemi image smoothing, including the new method introduced in the second paper. Selected PublicationsMaria Kallergi, Bradley J. Lucier, Claudia G. Berman, Maria R. Hersh, J. Kim Jihai, Margaret S. Szabunio, and Robert A. Clark, "High-performance wavelet compression for mammography: localization response operating characteristic evaluation", Radiology, 238(1):62-73, 2006Antonin Chambolle, Stacey E. Levine, and Bradley J. Lucier, "An upwind finite-difference method for total variation-based image smoothing", SIAM Journal on Imaging Sciences, 4(1):277-299, 2011Jingyue Wang and Bradley J. Lucier, "Error bounds for finite-difference methods for Rudin-Osher-Fatemi image smoothing", SIAM Journal on Numerical Analysis, 49(2):845-868, 2011 diff --git a/src/data/compiled_bios/1357.txt b/src/data/compiled_bios/1357.txt new file mode 100644 index 0000000000..82c259e78b --- /dev/null +++ b/src/data/compiled_bios/1357.txt @@ -0,0 +1 @@ +John R. Rice W. Brooks Fortune Distinguished Professor Emeritus of Computer ScienceProfessor of Mathematics (courtesy)Joined department: 1964 EducationBS, Oklahoma State University, Mathematics (1954) MS, Oklahoma State University, Mathematics (1956) PhD, California Institute of Technology, Mathematics (1959) Professor Rice is founder of the ACM Transactions on Mathematical Software and is on several other editorial boards. He is the past chair of the Computing Research Association, a fellow of the AAAS, and the ACM, and he is a member of the National Academy of Engineering. For 25 years, Professor Rice has analyzed numerical methods and problem solving environments for scientific computing. He has created a general methodology for performance evaluation of mathematical software and developed the ELLPACK system for elliptic problems. It was extended to Parallel ELLPACK and PDELab. Professor Rice has published 30 books. Among these are: Solving Elliptic Problems with ELLPACK (1985), Mathematical Aspects of Scientific Software (1988), Expert Systems for Scientific Computing (North Holland, 1992), Enabling Technologies for Computational Science (Kluwer, 2000). He has published about 300 journal articles and has 6 patents in computer security. The most recent articles were in the areas of agent-based computing, computational science, computer security, mathematical software, problem solving environments, scientific simulation and web-based computing. In addition to the projects appearing in the Research Funding section, he has received external funding for "Effectiveness of Software Projection Methods" (with Mike Atallah and Buster Dunsmore), Wright-Patterson Air Force Base, 11/1/02 - 11/1/03, $950,000; "Automatically Protecting Software Against 'diff' Attacks" (with Mike Atallah and David M'Raihi), SBIR Department of Defense, 8/12/03 - 1/31/04, $250,000; and "Tools for Quantifying Software Vulnerabilities and Protection" (with Mike Atallah), Indiana 21st Century Fund, 4/1/04 - 4/1/05, $1,178,256. Most recently he has devised and patented methods to prevent the piracy of software and of digital data. Selected PublicationsJohn Rice, Basic Vita& Publications diff --git a/src/data/compiled_bios/1358.txt b/src/data/compiled_bios/1358.txt new file mode 100644 index 0000000000..2e52adea34 --- /dev/null +++ b/src/data/compiled_bios/1358.txt @@ -0,0 +1 @@ +Ahmed Sameh Samuel D. Conte Professor Emeritus of Computer Science Joined department: 1997 EducationPhD, University of Illinois at Urbana-Champaign, (1968) Ahmed Sameh is the Samuel D. Conte Professor of Computer Science. His current research interests include numerical linear algebra, and the design and performance analysis of parallel numerical algorithms needed in various science and engineering applications. He has served on the editorial boards of: IEEE Transactions on Computers, Computing, SIAM Journal on Scientific and Statistical Computing, Parallel Computing, Journal of Parallel and Distributed Computing, Computer Physics Communications, International Journal of High Speed Computing, Numerical Linear Algebra with Applications, IEEE Computing in Science and Engineering, and International Journal of Parallel Programming. He joined Purdue in 1997 as Head of Computer Science, after being head of computer science at the University of Minnesota, Minneapolis, and the holder of the William Norris Chair for Large-Scale Computing. He was also a faculty member in the Department of Computer Science at the University of Illinois at Urbana-Champaign, from 1968 to 1991, and 1992-93. During his tenure at Illinois, he served as an associate director, and director, of the Center for Supercomputing Research and Development (CSRD). He is a Fellow of ACM, IEEE, AAAS, SIAM, and IACM. He has also received the IEEE's 1999 Harry Goode Award for "seminal and influential work in parallel numerical algorithms. Selected PublicationsA. Klinvex, F. Saied, and A. Sameh, "Parallel Implementations of the trace minimization scheme TraceMIN for the sparse symmetric eigenvalue problem", Computers and Mathematics with Applications, 2012, Elsevier, doi:10.1016/j.camwa.2012.06.011M. Sathe, O. Schenk, B. Ucar, and A. Sameh, "A Scalable Hybrid Linear Solver Based on Combinatorial Algorithms", in Combinatorial Scientific Computing, pp. 95-127, 2012, Editors: U. Nauman and O. Schenk, CRC PressM. Manguoglu, M. Koyuturk, A. Sameh, and A. Grama, "Weighted Matrix Ordering and Parallel Banded Preconditioners for Iterative System Solvers", SIAM J. on Sc. Comp.Vol. 32, pp. 1201-1216, 2010 diff --git a/src/data/compiled_bios/1359.txt b/src/data/compiled_bios/1359.txt new file mode 100644 index 0000000000..490a35ce97 --- /dev/null +++ b/src/data/compiled_bios/1359.txt @@ -0,0 +1 @@ +Robert D. Skeel Professor of Computer ScienceProfessor of Mathematics (courtesy)Joined department: 2004 EducationBSc, University of Alberta, (Honours) Applied Mathematics (1969) MS, University of Toronto, Mathematics (1970) PhD, University of Alberta, Computing Science (1974) Professor Skeel's research interest is in computational methods for biomolecular simulation, which seeks to aid in the discovery of the structures and mechanisms that are basic to life. Such simulations are very demanding computationally, running for days, weeks, and even months on parallel computers. Current research of Professor Skeel embraces three challenges: (1) the N-body problem for calculating nonbonded interactions as well as dense matrix "inversion" for implicit solvent, (2) the problem of doing dynamics simulations on biological time scales, and (3) the problem of calculating free energy differences and transition paths in very high dimensional configuration space. Professor Skeel has previously taught full time at the University of Illinois where he initiated the development of the scalable parallel molecular dynamics program NAMD. Professor Skeel has, with Jerry Keiper, co-authored a textbook Elementary Numerical Computing with Mathematica. Selected PublicationsR. Zhao, J. Shen, and R.D. Skeel, "Maximum flux transition paths of conformational change", J. Chem. Theory Comput., 6, pp. 2411-2423, 2010.R. D. Skeel, "What Makes Molecular Dynamics Work?", SIAM J. Sci. Comput., 31, 1363-1378, 2009J.C. Phillips, R. Braun, W. Wang, J. Gumbart, E.Tajkhorshid, E. Villa, C. Chipot, R.D. Skeel, L. Kale, andK. Schulten, "Scalable molecular dynamics with NAMD", J. Comput. Chem. 26, 1781-1802, 2005 diff --git a/src/data/compiled_bios/136.txt b/src/data/compiled_bios/136.txt new file mode 100644 index 0000000000..245691b0a5 --- /dev/null +++ b/src/data/compiled_bios/136.txt @@ -0,0 +1 @@ + Skip to main content Home Classes Papers Projects Patents Service Personal Payman Arabshahi University of Washington Applied Physics Laboratory and Dept. of Electrical Engineering Box 355640 Seattle, WA 98195-5640 USA Tel: (206) 221-6990 Fax: (206) 543-6785 payman@ee.washington.edu Payman Arabshahi is a principal research scientist with the University of Washington's Applied Physics Laboratory , and Associate Professor of Electrical Engineering at the UW. From 1994-1996 he served on the faculty of the Electrical and Computer Engineering Department at the University of Alabama in Huntsville. From 1997-2006 he was on the senior technical staff of NASA's Jet Propulsion Laboratory, in the Communications Architectures and Research Section. While at JPL he also served as affiliate graduate faculty at the Department of Electrical Engineering at Caltech, where he taught the three-course graduate sequence on digital communications. His research interests are in wireless communications and networking, sensor networks, signal processing, data mining and search, and biologically inspired systems. Education Management of Technology and Innovation Program, California Institute of Technology, 2003. Technical Management Program, University of California, Los Angeles, 2001. Ph.D., Electrical Engineering, University of Washington, 1994. M.S., Electrical Engineering, University of Washington, 1990. B.S., Engineering, (Summa Cum Laude), University of Alabama in Huntsville, 1988. High School, Ecole Internationale de Genve, Switzerland, 1985 (French/English). 2010 University of Washington diff --git a/src/data/compiled_bios/1360.txt b/src/data/compiled_bios/1360.txt new file mode 100644 index 0000000000..6ba4d24250 --- /dev/null +++ b/src/data/compiled_bios/1360.txt @@ -0,0 +1 @@ +Yousra Aafer Post Doc Research Associate diff --git a/src/data/compiled_bios/1361.txt b/src/data/compiled_bios/1361.txt new file mode 100644 index 0000000000..07b99789a7 --- /dev/null +++ b/src/data/compiled_bios/1361.txt @@ -0,0 +1 @@ +Zhuo Jiang Post Doc Research Associate diff --git a/src/data/compiled_bios/1362.txt b/src/data/compiled_bios/1362.txt new file mode 100644 index 0000000000..fbf6edeb16 --- /dev/null +++ b/src/data/compiled_bios/1362.txt @@ -0,0 +1 @@ +Vireshwar Kumar Post Doc Research Associate diff --git a/src/data/compiled_bios/1363.txt b/src/data/compiled_bios/1363.txt new file mode 100644 index 0000000000..0b6dbd25c5 --- /dev/null +++ b/src/data/compiled_bios/1363.txt @@ -0,0 +1 @@ +Kartik Nagar Post Doc Research Associate diff --git a/src/data/compiled_bios/1364.txt b/src/data/compiled_bios/1364.txt new file mode 100644 index 0000000000..8186ef0e3c --- /dev/null +++ b/src/data/compiled_bios/1364.txt @@ -0,0 +1 @@ +Mahsa Najaf Zadeh Post Doc Research Associate diff --git a/src/data/compiled_bios/1365.txt b/src/data/compiled_bios/1365.txt new file mode 100644 index 0000000000..ef407418d7 --- /dev/null +++ b/src/data/compiled_bios/1365.txt @@ -0,0 +1 @@ +Yuhong Nan Post Doc Research Associate diff --git a/src/data/compiled_bios/1366.txt b/src/data/compiled_bios/1366.txt new file mode 100644 index 0000000000..ed03c5d889 --- /dev/null +++ b/src/data/compiled_bios/1366.txt @@ -0,0 +1 @@ +Romila Pradhan Graduate Student Joined department: 2011 EducationPh.D., Purdue University, Computer Science (2018) M.S., Indian Institute of Technology, Mathematics and Computing (2008) B.S., Indian Institute of Technology, Mathematics and Computing (2008) Dr. Pradhan's research interests focus largely on data management and data mining. Her current research focuses on improving conflict resolution of data integrated from multiple data sources by exploiting data dependencies and employing user feedback and authoritative knowledge bases. Prior to joining Purdue, Dr. Pradhan worked at the investment banking division of Deutsche Bank from 2008 to 2010. Selected PublicationsRomila Pradhan, Siarhei Bykau, Sunil Prabhakar, "Staging User Feedback toward Rapid Conflict Resolution in Data Fusion",Proceedings of the 2017 ACM International Conference on Management of Data (SIGMOD), 2017Romila Pradhan, Siarhei Bykau, Sunil Prabhakar, "A Framework to Integrate User Feedback for Rapid Conflict Resolution",Proceedings of the 34th IEEE International Conference on Data Engineering (ICDE), 2018Romila Pradhan, Walid G. Aref, Sunil Prabhakar, "Leveraging Data Relationships to Resolve Conflicts from Disparate Data Sources",Proceedings of the 29th International Conference on Database and Expert Systems Applications(DEXA), 2018 diff --git a/src/data/compiled_bios/1367.txt b/src/data/compiled_bios/1367.txt new file mode 100644 index 0000000000..2a677340cf --- /dev/null +++ b/src/data/compiled_bios/1367.txt @@ -0,0 +1 @@ +Yu Hong Yeung Graduate Student Joined department: 2007 EducationBEng, The Hong Kong University of Science and Technology, Computer Engineering (2006) diff --git a/src/data/compiled_bios/1368.txt b/src/data/compiled_bios/1368.txt new file mode 100644 index 0000000000..3a5a4d84f2 --- /dev/null +++ b/src/data/compiled_bios/1368.txt @@ -0,0 +1 @@ +Juan Zhai Post Doc Research Associate diff --git a/src/data/compiled_bios/1369.txt b/src/data/compiled_bios/1369.txt new file mode 100644 index 0000000000..552dbcf74e --- /dev/null +++ b/src/data/compiled_bios/1369.txt @@ -0,0 +1 @@ +William N Crum Continuing Lecturer Joined department: 2003 diff --git a/src/data/compiled_bios/137.txt b/src/data/compiled_bios/137.txt new file mode 100644 index 0000000000..128db0fcff --- /dev/null +++ b/src/data/compiled_bios/137.txt @@ -0,0 +1 @@ + ISDL@UW Search this site Innovations in Digital Signal Processing and Machine Learning A List of Publications Current Projects a. Speech Dereverberation b. Cochlear Implants Coding c. Complex Matrix Factorization Toolbox d. HydroSense e. Live Speech Detection f. Modeling Functional Connectivity of Neuronal Oscillations g. Modulation Analysis of Cavitation Noise h. Modulation Toolbox and Demos Talker Separation using Modulation Frequency i. Passive Acoustic Killer Whale Identification j. Source Separation Using Complex Matrix Factorization Past Projects Audio Codec Heartrate Detection Individual Identification of Sperm Whales Speech Enhancement People Graduate Students Past Graduates Workshops EARs 2011 Innovations in Digital Signal Processing and Machine Learning Interactive Systems Design Lab (ISDL). Led by Professor Les Atlas Congratulation to ISDL Ph.D. student Eldridge Alcantera for receiving the 2018 University of Washington Excellence in Teaching Award. Congratulations to ISDL Ph.D. students Scott Wisdom and Tommy Powers for receiving the Best student paper award from the 2017 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics for: S. Wisdom, T. Powers, J. Pitton, L. Atlas, "Deep Recurrent NMF for Speech Separation by Unfolding Iterative Thresholding," Proc. IEEE WASPAA, New Paltz, New York, October 2017 . Our lab is best known for initiating these key concepts: Convolutional neural networks ( Atlas, L., Homma, T., and Marks, R., An Artificial Neural Network for Spatio-Temporal Bipolar Patterns: Application to Phoneme Classification, Proc. NIPS , 1987 and L.E. Atlas, T. Homma, R.J. Marks: "A Neural Network Model for Vowel Classification," Proc. IEEE-ICASSP, Dallas, 1987.) Zhao-Atlas-Marks (Cone kernel) time-frequency distribution (e.g. Zhao, Y., Atlas, L., and Marks., R., "The Use of Cone-Shaped Kernels for Generalized Time-Frequency Representations of Nonstationary Signals," IEEE Transactions on Signal Processing 38, pp. 1084-1091, 1990 ). Active learning for big data (e.g. Cohn, D., Atlas, L., and Ladner, R., Improving Generalization with Active Learning, Machine Learning 15, pp. 201-221. 1994 and Atlas, L., Cohn, D., and Ladner, R., "Training Connectionist Networks with Queries and Selective Sampling," Proc. NIPS 1989 .) Joint acoustic and modulation frequency analysis and filtering (e.g. Atlas, L. and Shamma, S., " Joint Acoustic and Modulation Frequency," EURASIP Journal on Advances in Signal Processing , 2003 .) Full-capacity unitary recurrent neural networks ( S. Wisdom*, T. Powers*, J. R. Hershey, J. Le Roux, L. Atlas, "Full-Capacity Unitary Recurrent Neural Networks," Advances in Neural Information Processing Systems (NIPS) , Barcelona, Spain, December 2016. *Equal contribution ) spotlight video code poster UW Terms of Use UW Online Policy Statement Sign in | Report Abuse | Print Page | Powered By Google Sites diff --git a/src/data/compiled_bios/1370.txt b/src/data/compiled_bios/1370.txt new file mode 100644 index 0000000000..d52449a884 --- /dev/null +++ b/src/data/compiled_bios/1370.txt @@ -0,0 +1 @@ +Melanie E Lotz Limited Term Lecturer Joined department: 2014 EducationBA, Azusa Pacific University, Math and English (2007) MA, Purdue University, Linguistics (2010) I received my BA in Math and English in 2007 at Azusa Pacific University in California. I completed an MA in Linguistics in 2010 at Purdue University. I taught high school math and Computer Science in Georgia from 2011 to 2014. There, I taught AP Computer Science A for two years, which focussed on Java programming. I returned to Purdue in Fall 2014 to pursue a Master's degree in Computer Science. This summer (Summer 2015), I will be interning in San Antonio, Texas with USAA. I am particularly interested in Information Security. diff --git a/src/data/compiled_bios/1371.txt b/src/data/compiled_bios/1371.txt new file mode 100644 index 0000000000..001455991b --- /dev/null +++ b/src/data/compiled_bios/1371.txt @@ -0,0 +1 @@ +Gary McFall Continuing Lecturer Joined department: Summer 2007 EducationB.S., Purdue, MET - Computer Integrated Manufacturing (1990) M.S., Purdue, OLS - Leadership Development and Education (2006) Selected PublicationsManagerial Authenticity: A Functional Model, Guided by Reflection. Ethics and Critical Thinking Quarterly Journal (vol 2006 issue 2) (with Abram Walton and Alexander Crispo) \ No newline at end of file diff --git a/src/data/compiled_bios/1372.txt b/src/data/compiled_bios/1372.txt new file mode 100644 index 0000000000..6e072cebeb --- /dev/null +++ b/src/data/compiled_bios/1372.txt @@ -0,0 +1 @@ + Hugh Anderson (Associate Professor) Introduction Research Teaching Further Information Introduction Research and Teaching Area Computing Science Academic Information PhD, National University of Singapore (NUS), Singapore (2007) MSc, University of the South Pacific (USP), Fiji Islands (1999) BSc Hons, Victoria University of Wellington (VUW), New Zealand (1979) Teaching/Academic Experience June 2010-Present Associate Professor, National University of Singapore (NUS), Republic of Singapore January 2008-October 2009 Research Chair at WelTec (NZ), and two visits to NUS as Visiting Senior Fellow July 2000-December 2007 Lecturer, National University of Singapore (NUS), Republic of Singapore 1998-2000 Lecturer, University of the South Pacific (USP), Fiji Islands 1994-1998 Principal Lecturer, Central Institute of Technology (CIT), Heretaunga, NZ 1988-1990 Lecturer, Central Institute of Technology (CIT), Heretaunga, NZ Personal Interests Guitars, old radios... Research interests Formal methods, refinement, tool support Network administration Distributed systems Encryption Teaching Teaching responsibilities, (NUS) 2017/2018: Semester I: CS3235 Computer Security (Lecturer) CS3205 Informaton Security Capstone Project (Lecturer) Semester II: CS5232 Formal Specification and Design Techniques (Lecturer, with Jin Song) CS3211 Parallel and Concurrent Programming (Lecturer, with John) Teaching responsibilities, (NUS) 2016/2017: Semester I: CS3235 Computer Security (Lecturer) CS3205 Informaton Security Capstone Project (Lecturer) Semester II: CS5232 Formal Specification and Design Techniques (Lecturer, with Jin Song) CS3211 Parallel and Concurrent Programming (Lecturer, with John) Special Term II: RI3008 The Dark Arts, Attacks and Defences (Lecturer) Teaching responsibilities, (NUS) 2015/2016: Semester I: CS3235 Computer Security (Lecturer) Semester II: CS3235 Computer Security (Lecturer) CS3211 Parallel and Concurrent Programming (Lecturer) Special Term II: Short course version of CS2107 Introduction to Information and System Security (Lecturer) RI3008 The Dark Arts, Attacks and Defences (Lecturer) Teaching responsibilities, (NUS) 2014/2015: Semester I: CS3235 Computer Security (Lecturer) CS3210 Introduction to Parallel Computing (Lecturer) Semester II: CS3211 Parallel and Concurrent Programming (Lecturer) Semester IV: Short course version of CS2107 Introduction to Information and System Security (Lecturer) Teaching responsibilities, (NUS) 2013/2014: Semester I: CS3235 Computer Security (Lecturer) Semester II: CS2107 Introduction to Information and System Security (Lecturer) CS3211 Parallel and Concurrent Programming (Lecturer) Semester IV: Short course version of CS2107 Introduction to Information and System Security (Lecturer) Teaching responsibilities, (NUS) 2012/2013: Semester I: CS3235 Computer Security (Lecturer) FMC1202 The Wonderfully Weird World of Software (Coordinator) Semester II: CS2107 Introduction to Information and System Security (Lecturer) Semester IV: Short course version of CS2107 Introduction to Information and System Security (Lecturer) Teaching responsibilities, (NUS) 2011/2012: Semester I: CS3235 Computer Security (Lecturer) Semester II: CS2107 Introduction to Information and System Security (Lecturer) CS3211 Parallel and Concurrent Programming (Lecturer) Semester IV: Short course version of CS2107 Introduction to Information and System Security (Lecturer) Teaching responsibilities, (NUS) 2010/2011: Semester I: CS3210 Introduction to Parallel Computing (Lecturer) Semester II: FMC1201 Is Computer Science Science? (Lecturer) CS3211 Parallel and Concurrent Programming (Lecturer) CS4236 Cryptography Theory and Practice (Lecturer, jointly with A/P Richard Ma) Semester IV: Short course version of CS3235 Introduction to Computer Security (Lecturer) Teaching responsibilities, (NUS) 2009/2010: Semester IV: Short course version of CS3235 Introduction to Computer Security (Lecturer) Teaching responsibilities, (NUS) 2008/2009: Semester IV: Short course version of CS3235 Introduction to Computer Security (Lecturer) Teaching responsibilities, (NUS) 2007/2008: Semester I: CS2106 Operating Systems (Lecturer) CS3235 Introduction to Computer Security (Lecturer) Semester II: I will not be at NUS, and someone else will have to take care of the sheep dip. Semester IV: Short course version of CS3235 Introduction to Computer Security (Lecturer) Teaching responsibilities, (NUS) 2006/2007: Semester I: CS2106 Operating Systems (Lecturer) CS3235 Introduction to Computer Security (Lecturer) Semester II: CS2281 Programming in UNIX (Lecturer) CS5270 Verification of Real Time Systems (Lecturer) GEK1531 Introduction to CyberCrime (Lecturing, jointly with Profs Niederreiter, Seng, Chew and Yu) Teaching responsibilities, (NUS) 2005/2006: Semester I: CS2281 Programming in UNIX (Lecturer) CS3235 Introduction to Computer Security (Lecturer, assisted by Sandeep Kumar) Semester II: CS2106 Operating Systems (Lecturer) CS5270 Verification of Real Time Systems (Lecturer, assisted by P.S.Thiagarajan) GEK1531 Introduction to CyberCrime (Lecturing, jointly with Profs Niederreiter, Seng, Chew and Yu) I am no longer in charge of the sheep dip. Teaching responsibilities, (NUS) 2004/2005: Semester I: CS1102c Data Structures and Algorithms (Lecturing, jointly with Tan Sun Teck, Ang Chuan Heng, Heng Aik Koan ) CS3235 Introduction to Computer Security (Lecturer) Semester II: CS2106 Operating Systems (Lecturer) GEK1531 Introduction to CyberCrime (Lecturing, jointly with Profs Niederreiter, Seng, Chew and Yu) I'm also helping out with the labs for CS1102 (Java) and CS1102C (C++), and I am in charge of the sheep dip. Teaching responsibilities, (NUS) 2003/2004: Semester I: CS2106 Operating Systems (Lecturer, assisted by Roland Yap) CS3235 Introduction to Computer Security (Lecturer) Semester II: CS2106 Operating Systems (Assisting Roland Yap) CS3283 GUI Programming (Lecturer) Teaching responsibilities, (NUS) 2002/2003: Semester I: CS2106 Operating Systems (Lecturer) Semester II: CS3103 Computer Networks II (Lecturing, jointly with Prof. Ananda) CS3283 GUI Programming (Lecturer) Teaching responsibilities, (NUS) 2001/2002: Semester I: CS2106 Operating Systems (Lecturing, jointly with Eng Wee) CS3235 Computer Security (Tutoring) Semester II: CS2106 Operating Systems (Lecturing, jointly with Roland) CS3283 GUI Programming (Lecturer) Teaching responsibilities, (NUS) 2000: Semester I: CS2106 Operating Systems (Tutoring) - shocked to learn that there are very few sheep in Singapore. CS1105 Computing and Society(Tutoring) Semester II: CS1101c Programming Methodology in C (Lecturer - my notes are here ) Teaching responsibilities, (USP) 2000: Semester 1: CS311 Operating Systems (Lecturer) Teaching responsibilities, (USP) 1999: Semester 1: CS311 Operating Systems (Lecturer) CS415 Advanced Software Engineering (Lecturer) Semester 2: CS312 Data Communications (Lecturer) - in charge of sheep dip. CS492 Data Security and Cryptography (Lecturing, jointly with Russel Pears) Teaching responsibilities, (USP) 1998: Semester 1: CS491 Distributed Systems (Lecturer) Semester 2: CS312 Data Communications (Lecturer) Selected Publications and Related Work Beatrice Luca, Stefan Andrei, Hugh Anderson, Siau-Cheng Khoo, Program Transformation by Solving Recurrences , PEPM 2006, Charleston, Jan 2006. Hugh Anderson, Siau-Cheng Khoo, Stefan Andrei and Beatrice Luca, Calculating Polynomial Runtime Properties , APLAS 2005, Tsukuba, Nov 2005. Here in pdf. Hugh Anderson and Siau-Cheng Khoo, Affine-Based Size-Change Termination , APLAS 2003, Beijing, Nov 2003. An extended version of the paper is found here in pdf. Hugh Anderson and Gabriel Ciobanu, Model-Checking and UTP Design Verification , SEEFM 2003, Greece, Nov 2003. Hugh Anderson, Abstract Interpetation with a Theorem Prover , ICFEM 2002, Shanghai, Oct 2002. Here in pdf. Hugh Anderson, Formalization and Literate Programming , APSEC 2001, Macau, Dec 2001. Here in pdf. Hugh Anderson, 3DVNT - A System for 3D Visualization of Network Traffic , Master's Thesis, MACS 1999, USP. Here in pdf. Hugh Anderson, 3D Visualization of LAN Traffic , Technical Report. Here in pdf. Hugh Anderson, Homer Cubed , Technical Report, 1998, MACS, USP. Here in pdf. J. E. Morris, Hugh Anderson, and Roy Smith, Retrofit Feedback Control of A/F Ratio and Ignition Timing for Fuel Economy , SAE Technical Paper, 82038 (1982). Here in pdf. (Scanned in just-for-fun!) Roy Smith, Hugh Anderson and Jim Morris, Data acquisition and analysis in a vehicle with a Commodore PET , J. Phys. E: Sci. Instrum. Vol 15, 1982. Here in pdf. Books: Introduction to Computer Security 2nd Edition, 2005, Pearson/Prentice Hall, ISBN 9789810675776 Operating Systems 2nd Edition, 2005, McGraw-Hill, ISBN 0071246967 Introduction to Computer Security, 2004, Pearson/Prentice Hall, ISBN 9812447113 Introduction to GUI Programming, 2003, Pearson/Prentice Hall, ISBN 9812446591 Operating Systems, 2002, McGraw-Hill, ISBN 0071234292 Further Information Hey! I moved back home to New Zild, where I was supporting furniture at WELTEC, and having fun with my railway wagons. But then.... I came back! Email Address: hugh@comp.nus.edu.sg Telephone: (65) 65164262 Office: COM2 #03-24 Facsimile: (65) 67794580 diff --git a/src/data/compiled_bios/1373.txt b/src/data/compiled_bios/1373.txt new file mode 100644 index 0000000000..c07db85780 --- /dev/null +++ b/src/data/compiled_bios/1373.txt @@ -0,0 +1 @@ + Arnab Bhattacharyya Home Research Teaching Students Welcome !I am an assistant professor at the School of Computing , National University of Singapore . I am currently on leave from the Computer Science and Automation Department at the Indian Institute of Science . My research area is theoretical computer science, in a broad sense. More specifically, I am interested in algorithms for big data, computational complexity, analysis and extremal combinatorics on finite fields, and algorithmic models for natural systems. See my publications for more details. News Excited to receive an Amazon Research Award to support my work on causal inference! Our paper "Minimum Intervention Cover of a Causal Graph" was accepted at AAAI 2019. I just joined the Computer Science Department at NUS. Please come by my office and say hi! Contact me COM2-03-44 NUS School of Computing 13 Computing Drive National University of Singapore, Singapore 117417 Email: @abhatt2 2014 Arnab Bhattacharyya | Template design by andreasviklund.com diff --git a/src/data/compiled_bios/1374.txt b/src/data/compiled_bios/1374.txt new file mode 100644 index 0000000000..870730123d --- /dev/null +++ b/src/data/compiled_bios/1374.txt @@ -0,0 +1 @@ + Dr. Anand Bhojan School of Computing, National University of Singapore Publications Keynote/Invited Talks/Media Conference Committees Research Areas Teaching Education Awards and Scholarships Projects, Research & Grants Professional/Consulting Administrative Leadership Other Links VIEWCALANDER GAME ALALYTICS "Truth is one, the wise call it by many names." - If we realise this, we can esily respect and accept all other religions; not just tolereate. "Seek what you know as the highest. It does not matter whether it is going to happen or not - living with a vision itself is a very elevating process"... "Self-Discipline: The ability to do what you know you should do, whether you feel like it or not". "Character training through intelligent self-discipline makes human energy socially oriented". (If the human energy is socially oriented, most of the problems in the world will be automatically solved!) "If you are poor, work. If you are rich, work. If you are burdened with un-seemingly unfair responsibilities, work. If disappointments come, work. If sorrow overwhelms you and loved ones seem not true, work. If health is threatened, work. When dreams are shattered and hope seems dead, work. Work as if your life is in peril. Its really is. No matter what ails you,work. Work faithfully. Work in faith. Work is the great remedy available for both mental and physical afflictions. All,without exception, perform work. There is no way of renouncing work altogether (always there is another work!)". The Inspired Talks of Swami Vivekananda "Finish the few duties (few!) you have at hand, and then you will have peace" The Gospel of Sri Ramakrishna Site Access Statistics from 21-Jan-2015 CONTACT: School of Computing, National University of Singapore Computing 1, 13 Computing Drive, Singapore 117417 e-mail: web: http://www.comp.nus.edu.sg/~bhojan Tel: (65) 6516-7351 Office: COM2-04-26 Location: http://www.comp.nus.edu.sg/maps/location.html CURRENT PROJECTS ARENA :- Procedural Content Generation for Multiplayer Games [2013-2015] ***** FATS :- Framework for Authentication-free message Transfer on Smartdevices [2013-2015] ***** Gamelets :- Massively Multiplayer Mobile Games with Distributed Micro-Clouds for Rendring and State Management [2012-2015] ***** My REFERENCE LIST FOR CLOUD GAMES - for PhD Students intersted in Research on Cloud Games. Next Generation Game UI :- A fusion - Smartphones & Human Expressions [2012-2014] *** Books - "Game Development - from design to market " [Target 2015 Aug] El-pincel : A Painter Cloud Service for Greener Web Pages [2010 - 2012] Adaptive Display Power Management for Mobile Games [2010 - 2011] TEACHING TOOLs ShowNtell :- Browser Based Colloborative Whiteboard. Draw, Annotate PDFs, Record and Publish using Android tablet, Laptops, etc. Plug-in free browser based tool. Recommended browsers: Chrome and Firefox. QAM :- Multimodal QA System for Events UPCOMING PRESENTATIONS Kaynote Talk: "Mobile Computing - Future Trends.", IEEE International Conference On Data Mining and Advanced Computing (SAPIENCE-16), Kerala, India [16-18, Mar][2016]. Slides: AWESOME GAMES DEVELOPED BY CS3247 Game Development Students ... "Game is an emotional artifact with a quest for solving problems" .... Dr. Anand Full list of games and links to video demo, blog, downloadable versions (For Various Platforms: Win, Mac, iPad/iPhone, Android) are available at : http://arivu.d2.comp.nus.edu.sg/game PUBLICATIONS 2015 Nidhi Sharma, Muhammad Fazli Bin Rosli, Wang Yichao, Oh Shunhao, Bhojan Anand , " [ePOSTER] ShowNtell - Collaborative Web Whiteboard for Educators ," Proceedings of Singapore Technology-enabled Learning Experience Conference, Nov 2015. TEL 2015 Ankit Chaudhary, Francisco Escolano, Bhojan Anand , " Introduction to the Special issue on Future trends in robotics and autonomous techniques ," Journal Computers and Electrical Engineering, Volume 43 Issue C, April 2015. [bib] , [End Note] , [txt ref] . Ankit Chaudhary, Francisco Escolano, Bhojan Anand (Eds.), " [BOOK] Future trends in robotics and autonomous techniques ," Journal Computers and Electrical Engineering, Volume 43 Issue C, April 2015. [bib] , [End Note] , [txt ref] . Bhojan Anand , Tan Guo Wei, " mumble: Framework for Seamless Message Transfer on Smartphones ," Proceedings of ACM Mobicom 2015 SmartObjects. [bib] , [End Note] , [txt ref] . Presentation Slides: [ppt SLIDES] mumble: Framework for Seamless Message Transfer on Smartphones Bhojan Anand , Kwan Yong Kang Nicholas, Nidhi Sharma " ShowNTell: An easy-to-use tool for answering students questions with voice-over recording ," Proceedings of IEEE and ASEE 45th Annual Frontiers in Education (FIE) Conference [bib] . Presentation Slides: [ppt SLIDES] ShowNTell: An easy-to-use tool for answering students questions with voice-over recording 2014 Bhojan Anand , Hong Wei Wong , " ARENA- Dynamic Run-time Map Generation for Multiplayer Shooters ," Springer LNCS 8770, Proceedings of the IFIP-International Conference on Entertainment Computing (ICEC)- 2014. [bib] , [End Note] , [txt ref] . Rajsingh Elijah Blessing, Bhojan Anand , Peter, J. Dinesh (Eds.) " [BOOK] Informatics and Communication Technologies for Societal Development (proceedings of ICICTS 2014) ," Springer - Signals & Communication Bhojan Anand , Aw Jia Hao Edwin , " Gamelets - Multiplayer Mobile Games with Distributed Micro-Clouds ," IPS/IEEE Proceedings of the 7th International Conference on Mobile Computing and Ubiquitous Networking - ICMU 2014. [bib] , [End Note] , [txt ref] . Bhojan Anand , Li Kecen, Akkihebbal L. Anand , " PARVAI - HVS Aware Adaptive Display Power Management for Mobile Game s," IPS/IEEE Proceedings of the 7th International Conference on Mobile Computing and Ubiquitous Networking - ICMU 2014. [bib] , [End Note] , [txt ref] . 2013 Bhojan Anand, " Energy Efficient Multi-player Smartphone Gaming using 3D Spatial Subdivisioning and PVS Techniques ," Proceedings of the 21th ACM International Conference on Multimedia - IMMPD 2013, Barcelona, Spain. 2012 Bhojan Anand " Energy efficient algorithms and techniques for wireless mobile clients ," Scholar Bank, National University of Singapore, 2012. Bhojan Anand , Lee Kee Chong, Ee-Chien Chang, Mun Choon Chan, Akhihebbal L. Ananda and Wei Tsang Ooi, " El-pincel: a painter cloud service for greener Web Pages ," Proceedings of the 20th ACM international conference on Multimedia 2012, Nara, Nov Japan 2012. K Thirugnanam, Bhojan Anand , J Sebastian, PG Kannan, AL Ananda, RK Balan, and MC Chan, Dynamic Lookahead Mechanism for Conserving Power in Multi-Player Mobile Games , (Mini-Conf) IEEE INFOCOM 2012, Orlando, Florida, Mar 2012. Bhojan Anand , Akhihebbal L. Ananda, Mun Choon Chan and Rajesh Krishna Balan, " ARIVU: Making Networked Mobile Games Green - A Scalable Power -Aware Middleware ", MOBILE NETWORKS AND APPLICATIONS, Springer Netherlands,(DOI: 10.1007/s11036-011-0312-8, URL:http://dx.doi.org/10.1007/s11036-011-0312-8), Feb 2012. [Features: Evaluation of techniques discussed in Netgames' 2010 paper (ARIVU) in commercial/opensource games Quake and Ryzom with improved algorithms that gaurentees scalability of the Game Servers)]. 2011 Bhojan Anand , " BLENDED LEARNING An Experimental Study in Undergraduate Education", Procedings of 4th International Conference of Education, Research and Innovation (ICERI 2011), Madrid, Spain, Nov 2011. Bhojan Anand , Pravein Govindan Kannan, Akhihebbal L. Ananda, Mun Choon Chan, " El-pincel - A Painter Cloud Service for Green er Web Page s ", Abstract Paper (Poster Presentation & Android Demonstration), Proceeedings of ACM MobiSys 2011, Washington DC, June 2011. Bhojan Anand , Karthik Thirugnanam, Jeena Sebastien, Pravein Govindan Kannan, Akhihebbal L. Ananda, Mun Choon Chan and Rajesh Krishna Balan, " Adaptive Display Power Management for Mobile Games ", Proceeedings of ACM MobiSys 2011, Washington DC, June 2011. Bhojan Anand , Karthik Thirugnanam, Jeena Sebastien, Pravein Govindan Kannan, Akhihebbal L. Ananda, Mun Choon Chan and Rajesh Krishna Balan, " Adaptive Display Power Management for Mobile Games ", Abstract Paper (Poster Presentation & iOS/Android Demonstration), Proceeedings of ACM MobiSys 2011, Washington DC, June 2011. 2010 Bhojan Anand , Soh Yu Ming, Akhihebbal L. Ananda, Mun Choon Chan, and Rajesh Krishna Balan, " PGTP: Power Aware Game Transport Protocol for Multi-Player Mobile Games ", IEEE International Conference on Communications and Signal Processing (ICCSP), National Institute of Technology, Calicut, India, Feb 2011. Bhojan Anand , Karthik Thirugnanam, Le Thanh Long, Duc-Dung Pham, Akhihebbal L. Ananda, Rajesh Krishna Balan, and Mun Choon Chan, " ARIVU: Power -Aware Middleware for Multiplayer Mobile Games ", IEEE/ACM Netgames, Teipei, Taiwan, Nov 2010. [A new & extended version of this paper is published in MONET - 2012] Bo Han, Ahmad Rahmati, Bhojan Anand , " Report of HotMobile 2010 ," IEEE Pervasive Computing Journel, pp. 93-96, July-September, 2010 Bhojan Anand , " Konva: Power and Network Aware Framework and Protocols for Multiplayer Mobile Games ," (Doctoral Consortium), Proceedings of The Eleventh ACM Workshop on Mobile Computing Systems & Applications (HotMobile 2010), Feburary 22, Annapolis, MD, USA. Bhojan Anand , A.L.Ananda, Mun Choon Chan, and Rajesh Krishna Balan " Application Assisted Power Management in Multiplayer Mobile Games Poster & Demo ," Abstract Paper (Poster Presentation & Demonstration), Proceedings of The Eleventh ACM Workshop on Mobile Computing Systems & Applications (HotMobile 2010), Feburary 22, Annapolis, MD, USA. 2009 and earlier Bhojan Anand , A.L.Ananda, Mun Choon Chan, Le Thanh Long and Rajesh Krishna Balan, " Game Action Based Power Management for Multiplayer Online Game ," Proceedings of ACM SIGCOMM Workshop on Networking, Systems, Applications on Mobile Handhelds (MobiHeld 2009), August 17, Barcelona, Spain. Book- (International Edition Adaptation) James F. Kurose, Keith W. Ross " Computer Networking - A Top-Down Approach", 4/e , Pearson/AW, 2007. Bhojan Anand, " Need Based Curriculum Development " - at "Association of Principals of Colleges of Bharathiar University", Bharathiar University, Coimbatore, Tamilnadu, India. 2000. Book- MOBILE APPLICATIONS DEVELOPMENT using J2ME - Simple standalone to Enterprise Mobile Applications and Beyond 3/e , Thomson Learning Asia, Singapore, 2006, (ISBN 981-254-539-5). 393 Pages. Book- IT and Office Software , Mc-Graw Hill, Singapore, 2005. 250 Pages. Book- MOBILE APPLICATIONS DEVELOPMENT using J2ME - Simple standalone to Enterprise Mobile Applications and Beyond 2/e , Thomson Learning Asia, Singapore, 2004, (ISBN 981-243-763-0). 350 Pages. Book- INTERNET APPLICATIONS DEVELOPMENT , Thomson Learning Asia, Singapore, 2003, (ISBN 981-243-763-0). 200 Pages. Book- MOBILE APPLICATIONS DEVELOPMENT using J2ME , Thomson Learning Asia, 2003, (ISBN 981-243-763-0). 250 Pages. Book- INTRODUCTION TO COMPUTERS AND WINDOWS OS , 1999 IBS Publishing, PNG, North of Australia. (ISBN 9980 - 9985-5-5) Book- RELATIONAL DATABASE MANAGEMENT SYSTEM CONCEPTS AND MS-ACCESS , 1999 IBS Publishing, PNG, North of Australia. (ISBN 9980 - 9985-8-X ) Book- BASICS OF COMPUTER SCIENCE (Hardware, Software, C Language Programming, OS, Windows, MS-Office), NPA Publishing, India, 1998. Book- Study guides for computer technology students on DATA STRUCTURES AND ALGORITHMS, C LANGUAGE PROGRAMMING, SYSTEMS PROGRAMMING, COMPUTER GRAPHICS, COMPUTER NETWORKS AND COMMUNICATIONS, and MOBILE COMPUTING. ---- Various technical reports in local and international magazines ---- 2015 2014 2007 2006 2005 2004 2003 < Back > KEYNOTEs, INVITED PRESENTATIONS , IN NEWS and MEDIA Keynote Talk: " Energy Efficient Mobile Applications with Mobile Cloud Computing (MCC) ,", International Conference on Graph Algorithms, High Performance Implementations and Applications Coimbatore (ICGHIA'14), India [17-19, Dec][2014]. Slides : ICGHIA14AnaBhojan.pdf Invited Talk: "Next Generation Mobile Applications ", PSG College of Technology, Coimbatore, India [5, Aug][2014] Invited Talk: "Energy Efficient Multiplayer games ", Coimbatore Institute of Technology(CIT), India [5, Aug][2014] Invited Talk: "Next Generation Mobile Applications ", National Institute of Technology (NIT), trichy, India [4, Aug][2014] Invited Talk: "Trends in Mobile Applications ", Ramakrishna Engineering College, Anna University, India [18, Dec][2013] [Keynote] Expert Talk: "Energy Efficient Application Design for Smartphones ", International Seminar on Mobile Applications, Bharathiyar University, India [17, Dec][2013] [Keynote]: "Next Generation Cloud Games", The 2013 Young Engineers and Scientists Conference on Multimedia, Communication and Mobile Application Technologies, Singapore [8, Nov][2013] Invited Talk: "Energy Efficient Algorithms and Techniques for Wireless Mobile Clients", Seminar on Energy Efficiency (Specially Arranged Session), Karunya University, India [2013] Invited Talk: " Energy Efficient Algorithms and Techniques for Wireless Mobile Clients" , Seminar on Energy Efficiency (Specially Arranged), VIT University, India [2013] Public Talk: " Display Energy Efficiency Techniques (LCD and OLED) ", Amritha University, India [2013] Public Talk: " Higher Study Overseas - Opportunities, Challenges and Tips "Dr NGP Institute, India [2013] Invited Speaker: Regional Industrial Networking Conference,(RINC) Singapore. Oct 2010; http://www.sp.edu.sg/rinc/ , "Energy Efficient Massively Multiplayer Mobile Games with Distributed Micro-Clouds" Presentation: Adaptable and Extensible AugmentedReality/Co-Space Systems (Games) @ MIT (www.mit.edu), June 2008. Invited Speaker: M2M Expo and Conference, Singapore. 2006; http://www.m2mexpo.com/2006/ap/ , "In-Depth Study of Wireless Applications (in M2M context)" Invited Speaker: Regional Industrial Networking Conference,(RINC) Singapore. 2005 "3G Mobile Experiments" Invited Speaker: National Update for Optometrists and Opticians (NUOO), Singapore. 2004 "Contact Lens: Mobile Marketing" Invited Speaker: I2T And M2M Conferences, Singapore Industrial Automation Association(SIAA), From 2003 "I2T/M2M Enabling Technologies" Conferences/Forums - GLOBAL Wireless Venturing Forum,2004, Singapore - MOBWISER 2004, Singapore - GLOBAL Conference on Excellence in Education & Training 2004, Singapore - Sun-tech Days 2003, Singapore - CIO Forum on Industrial Info-Comm. 2003, Singapore - Oracle Developers Days 2002, Singapore - GRID Asia - 2006, Singapore - CommunicAsia, MobileCommAsia, EnterpriseIT 2004, 2005, 2006 IN MEDIA/NEWS Current Gaming Trends The New Indian Experess Print Edition Dt. 12-May-2014 Be the Master of Game The New Indian Experess Print Edition Dt. 07-Apr-2014 Talk at Coimbatore Dhinamani[TAMIL] Print Edition Dt. 20-Dec-2013 Talk at Coimbatore Murasu[TAMIL] Print Edition Dt. 20-Dec-2013 < Back > CONFERENCE/JOURNAL COMMITTEES and BOARDS SERVING [Elsevier] - Computers & Electrical Engineering - - Special Issue on Future Trends in Robotics and Autonomous Techniques - Guest Editor, Since 01/2014 ACM Multimedia Systems [ACM MMSys 2014 - Special Session] [19-21 Mar] - TPC ACM International Workshop on Massively Multiuser Virtual Environments (MMVE-2014) [ACM MMSys 2014 Workshop] [19-21 Mar] - TPC International Conference on Informatics and Communication Technologies for societal Development (ICICTS-2014) [13,14,15 Mar]- CONFERENCE CO-CHAIR International Conference on Intelligent Computing Applications (ICIC 2014) [6,7 Mar] - ADVISORY COMMITTEE IPSJ-IEEE The Seventh International Conference on Mobile Computing and Ubiquitous Networking (ICMU 2014) - ORGANISING COMMITTEE (Publicity Co-Chair) ICMU 2014 - TPC IEEE International Conference on Computing, Networking and Communications (ICNC 2014) - TPC IEEE Transactions on Mobile Computing - REVIEWER IEEE Transactions on Computers - REVIEWER ACM/Springer Multimedia Systems Journal - REVIEWER EDULEARN'2012 - INTERNATIONAL ADVISORY BOARD ACM Transactions in Embedded Computing Systems (TECS) - REVIEWER ACM Springer Mobile Networks and Applications (MONET) - REVIEWER IATED-ICERI'2012 - INTERNATIONAL ADVISORY BOARD RESEARCH AREAS: Systems and Networking (Sensor Networks/Internet of Things, Mobile Communication, M2M, Automation, Remote Monitoring ) Cloud Computing (Multiplayer Cloud Games, Muti-user Massive Virtual Environments) Energy Management and Sustainability Game Design (Serious Games, Game Content, HCI) THESIS COMMITTEE :- 2014: Japhynth Jacob - "3D Matchmaking Models for Resoure Alloction in Grid Environment" 2013: Menila James - "Face Recognition System in Compressed Domain by Applying Wavelet Transform and Feature Vector Optimization" 2016 (expected): Gokul Sadasivam - "Distributed Honeypots for Intelligent Threat Analysis" RESEARCH STUDENTS SUPERVISED (UG) :- 2013/2014: NEHA MITTAL (CEG) H135110 Multimedia-Integrated Interactive Game Controller (Android based). FYP Innovation Award Winner for 2013/14 WONG HONG WEI (SoC) - H135090 Building an Asynchronous Multiplayer Shooter with Procedurally Generated Content. Top Honors Year Project (for Ay 2013/14) - IEEE Computer Society Book Prize BUI PHUC DUYET (SoC) - H135100 Energy Efficient Videos for OLED displays DAWIN WIDJAJA (SoC) - H135080 Energy Aware Texture Adaptation for Mobile Games PENG JUN (CEG) Gamelets - H135070 Massively Multiplayer Mobile Games with Distributed Micro-Clouds CHUA CHONG YUN (SoC) - H135060 Smartphones/Tablets as Game Controllers OU YANG YAN XUAN JUSTIN (SoC) - H135130 Multimedia Enhanced Controller Framework for Samsung Devices (Inter faculty or external project) ONG JIT SHENG, JONATHAN (SoC) - H135140 Game State Aware procedural music generation for games. TAN GUO WEI (SoC) - H135150 StreetTag 2012/2013: YONG U-WERN, JUSTIN (COM) H135040 (First job: Masters @ CMU ) Game Content Based Adaptive Streaming NGIN GUAN WEI BRAIN (COM) H135030 Video Streaming for Remote 3D Gaming LEE TAI YUN (COM) H135020 Distributed Game State Management CHONG MING XUN (COM) H135010 (First job:: Masters @ CMU ) Protocols for Real-Time Distributed Rendering AW JIA HAO EDWIN (COM) H135050 (First job:: Masters @ CMU ) Rendering Agent for Real-Time Distributed Rendering (**** Part of the work is submitted for publication in IEEE ICMU'2014) Chen Yan (CEG) - H078870, Energy efficient middleware for Organic LED (OLED) power optimization Li Kecen (CEG) - H078880, Game state-aware Display power management for Organic LED (OLED) displays of mobile devices (**** Part of the work is submitted for publication in IEEE ICMU'2014) Yang Ziqing (CEG) - H078890, Power Consumption Analysis of Electronic Equipment in a Building Sum Qing Wei (COM) - H078900, Gamelets:- Massively Multiplayer Mobile Games with Distributed Micro-Clouds 2011/2012: Chong Lee Kee - H078820 ( Job: Research Assistant, NUS), "Energy efficient middleware for Organic LED (OLED) power optimization" Deenar Farvin - H078840, "Game state-aware Display power management for Organic LED (OLED) displays of mobile devices" Lim Bufeng Winson - H078850, "Power Consumption Analysis of Electronic Equipment in a Building" 2010/2011: Luu Gia Thuy - H078760 ( Job: Research Engineer, A-Star ), "Power Aware Game API for Mobile Multiplayer Games" Zeng Qiang -H078770 ( Achievement: Nominated for HYP Innovation Award ), "Middleware for Making FPS games Power efficient and Scalable" Nguyen Hoang Hai - H078760, "Game State Aware Adaptive and Integrated Power Management for Mobile Phone Display" Yang Zhaoyu - H078780, ( Job: Developer, IBM Singapore ), "Power Aware Transport Protocol for Mobile Multiplayer Games" 2009/2010: Chan Ka Ho - H078720 ( Job: Game Developer, Koei Entertainment Singapore ), "Power Aware Game API for Mobile Multiplayer Games" Soh Yu Ming -H078700 ( Achievement: IDA Gold Medal, 2010 ), "Power Aware Game Transport Protocol for Mobile Multiplayer Games" Robi - H078710, "Energy Efficient Networked Mobile Games for ZigBee Phones/PDAs" 2008/2009: Le Thanh Long ( Achievement: Scholarship for PhD Program at Rutgers University, The State University of New Jersey, USA, 2010 ), "Adaptive Mid-layer Resource Balancing for Wireless Devices" Lin Tong , "Reuse Issues in Mobile Software" Shi Chenlong , "Adaptable games for mobile phones with a generative technique" Sua Xin Miao , "Portable games for mobile devices" 2007/2008: Ngo My Dung , "Using Meta-programming to implement a portable, generic Java mobile game" < Back > TEACHING "The greatest challenge of education in the digital world is to train the mind to focus with a strong feeling of purpose where the time shrinks and to re-focus at will" .... Dr. Anand AY2013/14 Sem 2: CS3247 Game Development CG3204L Computer Networks Laboratory CS3103L Computer Networks Laboratory AY2013/14 Sem 1: CG3204L Computer Networks Laboratory - Latest Course Feedback Score ( PDF ) 4.83/5.0 (Lecture); 4.83/5.0 (Lab); 4.77/5.0 (Tutorial); CS3103L Computer Networks Laboratory - Latest Course Feedback Score ( PDF ) 4.41/5.0 (Lab) AY2012/13 Sem 2: CS3247 Game Development CG3204L Computer Networks Laboratory CS3103L Computer Networks Laboratory EE3001 Project AY2012/13 Sem 1: CS4213 Game Development CG3204L Computer Networks Laboratory CS3103L Computer Networks Laboratory AY2011/12 Sem 2: CS2105 Introduction to Computer Networks CG3204L Computer Networks Laboratory CS3103L Computer Networks Laboratory EE3001 Project AY2011/12 Sem 1: CS2105 Introduction to Computer Networks CG3204L Computer Networks Laboratory CS3103L Computer Networks Laboratory AY2010/11 Sem 2: IT2001 Network technology and Applications - Latest Course Feedback Score 4.8/5.0 (Lecture); 4.6/5.0 (Tutorial) CG3204L Computer Networks Laboratory - Latest Course Feedback Score 4.5/5.0 (Lecture); 4.8/5.0 (Lab) CS3103L Computer Networks Laboratory - Latest Course Feedback Score 4.3/5.0 (Lab) AY2010/11 Sem 1: CS2105 Introduction to Computer Networks CS3103L Computer Networks Laboratory AY2009/10 Sem 2: CS2105 Introduction to Computer Networks CS3103L Computer Networks Laboratory IT2001 Network Technology and Applications AY2009/10 Sem 1: CS2105 Introduction to Computer Networks CS3103L Computer Networks Laboratory AY2008/09 Sem 2: CS2105 Introduction to Computer Networks CS3103L Computer Networks Laboratory CS4222 Wireless Computing and sensor Networks AY2008/09 Sem 1: CS2105 Introduction to Computer Networks CS3103L Computer Networks Laboratory AY2007/08 Sem 2: CS2105 Introduction to Computer Networks CS3103L Computer Networks Laboratory AY2007/08 Sem 1: CS2105 Introduction to Computer Networks CS3103L Computer Networks Laboratory CS3103 Computer Networks and Protocols CS4222 Wireless Computing and Sensor Networks AY2006/07 Sem 2: CS2105 Introduction to Computer Networks CS3103L Computer Networks Laboratory AY2006/07 Sem 1: CS3103 Computer Networks II CS4344 Networked and Mobile Gaming [Shared] Mobile Games - Free Download (Unlimited) < Back > PROJECTS, RESEARCH and GRANTS: DECISION SUPPORT SYSTEM: "VOUCHER ANALYSIS AND ACCOUNTING" for NATIONAL LITERACY MISSION, GOVERNMENT OF INDIA. -- Funded by the State Government. 1994 "TEACC - BOUGHT LEAF ACCOUNTING SYSTEM" for RIVERSIDE TEA PLANTATIONS, NILGIRIS, INDIA. 1998 BUSINESS GROWTH PROJECTION SYSTEM: "IBS BUSINESS PLAN" for the Institute of Business Studies, Papua New Guinea, North of Australia. (10 years plan with analysis on Revenue, Expenses, Shares and Construction of a New Campus) - Research & Development funded by the Institute of Business Studies. 1999 "ACCOUNTING SYSTEM" for TARGETTED COMMUNITY DEVELOPMENT PROGRAM, GOVERNMENT OF PAPUA NEW GUINEA, North of Australia. Funded by Government of PNG. 1999 "STUDENTS INFORMATION SYSTEM" for the Institute of Business Studies, Papua New Guinea, North of Australia. - Funded by the Institute of Business Studies. 1999 "CONTACT LENS - MOBILE MARKETTING" J2ME based mobile marketing application for ANUFLORA International. (Founder of the Company). 2003 "PHONEPAL" Bluetooth based commercial friends finder application for ANUFLORA International. (Founder of the Company). 2002 "Mobile Image/Video Retrieval by Querying". Funded by Honeywell Computers Pte Ltd, Singapore. 2003 (Supervision) "On-Site Data Acquisition System using RFID-Bluetooth-GPRS". SYSENG Pte Ltd., Singapore. 2004 "Mobile Industrial Network Integrating 3G for Mobile Experiments". Research & Development project funded by TOTE Board, Singapore. 2004-2005. ($200,000) [AWARD WINNING PROJECT] "Omron RFID Integrated Software Package ("ORISP")". Funded by OMRON Asia Pacific, Singapore. 2005 ....... < Back > PROFESSIONAL, CONSULTING, STANDARDIZATION, LEADERSHIP and TECHNICAL activities Curriculum Review Panel Member - School of EEE, Singapore Polytechnic. (http://www.sp.edu.sg), Oct 2010. Courses: Advanced Diploma in Electronics and Telecommunication Engineering (AETE) and Specialist Diploma in Mobile Communications (SMC) Professional Member - Association for Computing Machinery (www.acm.org) Professional Member - IEEE (www.ieee.org) Visiting Scholar (Mentor) - Singapore-MIT GAMBIT lab, 2008 Summer (http://www.mit.edu) Life Member - INDIAN SOCIETY FOR TECHNICAL EDUCATION (Life Member. Membership No . LM 21639.), 1995 Member/I2T Trainer - SINGAPORE INDUSTRIAL AUTOMATION ASSOCIATION (SIAA), 2003 Leader "I2T/M2M ENABLING TECHNOLOGIES" - SINGAPORE INDUSTRIAL AUTOMATION ASSOCIATION (Industrial Info-Comm Technology-I2T) / (Machine-2-Machine), 2004 Member - SINGAPORE COMPUTER SOCIETY, 2004 Member - COMPUTER SOCIETY OF INDIA, 2000 Stundet & Exam Administration System Rep - School of Media and Info-Communications Technology, SINGAPORE POLYTECHNIC, SINGAPORE 2000 - 2006 Curriculum Management Team Member - School of Media and Info-Communications Technology, SINGAPORE POLYTECHNIC, SINGAPORE 2000 - 2006 Mobile Applications Development - 3 years course Game Design and Developmet - 3 years course Mobile Applications Development Lab Manager - School of Media and Info-Communications Technology, SINGAPORE POLYTECHNIC, SINGAPORE 2000 - 2006 EXTERNAL EXAMINER - VARIOUS INSTITUTES (DEL Polytechnic -Indonesia, Bharathiar University - India, SNGIT Polytechnic - India, NGM Polytechnic-India, Government Polytechnic-India) Consultant - Several educational institutes, Automation Industries Judge - "Imagine Cup - 2005" conducted by Microsoft, Singapore. Judge & Mentor - MOE's (Ministry of Education, Singapore) GEP (Gifted Education Programme) - Computer Mentorship Programme since 2005. Election Officer - During the Tamilnadu State Elections, India (Nilgiris Dist.). 1994,1998. Member - Dept Course/Curriculum Management Team, Singapore Polytechnic 2003-2006. Final Year Project Coordinator - Singapore Polytechnic 2003-2006. Manager - Mobile Applications Dev. Lab, Singapore Polytechnic 2003-2006. Placement Officer - GRD Institute Management. 2000 Conducted courses on IT for Officers in Ministry of Defence (Singapore), Overseas Government Delegates (Japan Singapore Partnership Programme 21, Ministry of Foriegn Affairs -Singapore) Consultation Areas: Wireless/Mobile Computing, Pervasive Computing, Remote Monitoring, Machine-2-Machine, Automation, Interactive Digital Entertainment, Education System, Curriculum Development, Examinations Administration System, e-Commerce, m-Commerce, Mobile HCI < Back > EDUCATION: 1989: X - std. (Equivalent to 'O' level) ( 39th rank among 300,000 candidates, Received State Government Scholorship for Higher Studies ) 1991: XII - std. (Equivalent to 'A' level) (First Class) 1994: Bachelor in Computer Science and Engg. ( University First Rank, Gold Medalist ) 1998: MS in Computer Science and Applications (Dist.) 2002: Master in Teaching (Higher Education) 2012: Doctor of Philosoply - Computer Science and Engg - from, National University of Singapore (NUS). ( Received Dean's Graduate Research Achievement Award dt 6-Jan-2012; Nominated for Best PhD Thesis Award (Wang Gungwu Medal & Prize) , ). NUS - Ranked 25th in the World and 2nd in Asia (QS World University Ranking -2012) . Ranked 29 in the World and 2nd in Asia (Times Higher Education World University Rankings 2012-2013) Thesis: " Energy efficient algorithms and techniques for wireless mobile clients ," Scholar Bank, National University of Singapore, 2012. < Back > AWARDS & SCHOLARSHIPS: 1989 State Government's Higher Studies Scholarship for outstanding performance. [39th rank among 300,000 candidates]. 1994 GOLD MEDAL AND RANK CERTIFICATE by the honorable GOVERNOR of the State for getting university 1st RANK. [1st Rank among 4,000 candidates] 1994 Certificate of Merit for Academic Excellence 2000 Best Paper Presentation - "Need Based Curriculum Development", Association of Principals of Colleges of Bharathiar University . 2006 Best R&D Project award - "Mobile Industrial Network Integrating 3G for Mobile Experiments". Funded by TOTE Board, Singapore [$200,000]. 2003 Best Presentation Award - Presentation on Mobile/Wireless Enabling Technologies for I2T/M2M, Industrial-Info Comm. Technology (I2T), Singapore Industrial Automation Association. 2012 Dean's Graduate Research Achievement Award (PhD) < Back > Other Links/Non-Professional/Personal: My home town (small) in India (THE NILGIRIS / OOTY / BLUE MOUNTAINS): Queen of Hills - The official site ( Maintained by the Government ) Ooty Travel and Tourism ( Travel & Hotel info - Ooty, Coonoor, Kotagiri ) Ooty, Coonoor, Kotagiri - small towns ( Popular place for Indian and International Tourists ) See some web shots here Link to THE NILGIRIS (BLUE MOUNTAIN) in wikipedia My son's page: SASHIL ANAND Our TEA Gardens Anuflora International - Plantations Division ( Tea Estates and TEA Trading ) < Back > Last updated: 16-01-2013 National University of Singapore diff --git a/src/data/compiled_bios/1375.txt b/src/data/compiled_bios/1375.txt new file mode 100644 index 0000000000..cf32d75932 --- /dev/null +++ b/src/data/compiled_bios/1375.txt @@ -0,0 +1 @@ + Stphane Bressan Homepage Teaching Research Publications Biography Contact Me Teaching I teach database management, database design and tuning, data warehousing, logic programming and discrete mathematics. Read More Research I study the search, extraction, collection and cleaning, integration and fusion, analysis, anonymization and dissemination of data. Read More Publications I have authored and co-authored more than 100 research articles in international peer reviewed conferences and journals. Read More Biography I am Associate Professor in the Department of Computer Science of the School of Computing at the National University of Singapore . Read More Dedomenology Late Peter Naur coined the Danish and Swedish translation of computer science as the neologism datalogi. The term and its English version Datalogy are Anglicism constructed from the English word data and the English suffix -logy, meaning science. Datalogy is therefore by construction a synonym of data science. Currently, Datalogy is rather used as a synonym of data analysis. Looking further into the its apparent etymology, datalogy unfortunately looks like the composition of the Latin word data (feminine participle of the verb given), meaning "given", and the Greek word logos () meaning word or discourse. As such it suggest the science or study of data. A more coherent construction, using a Greek root, would be dedomenology, with the Greek verb didomi () meaning give and its participle dedomenon (). We use the term dedomenology to refer to the study of the issues related to the search, extraction, collection and cleaning, integration and fusion, analysis, anonymization and dissemination of data. Contact Me My office is located on the third floor of the COM1 building of the School of Computing of the National University of Singapore (COM1-03-20) Mailing address: School of Computing, National University of Singapore, 13 Computing Drive, 117417, Singapore. Telephone number: (+65) 65 16 35 43 email me Copyright: 2016 Stphane Bressan ALL RIGHTS RESERVED. Design: adapted from TEMPLATED under the Creative Commons Licence . diff --git a/src/data/compiled_bios/1376.txt b/src/data/compiled_bios/1376.txt new file mode 100644 index 0000000000..84d5ebf4c9 --- /dev/null +++ b/src/data/compiled_bios/1376.txt @@ -0,0 +1 @@ + Cristina CARBUNARU Lecturer About me Teaching Research Personal Cristina CRBUNARU Lecturer Department of Computer Science School of Computing National University of Singapore Email: Email address protected by JavaScript. Please enable JavaScript to contact me. Office:COM2-02-07 Cristina is a lecturer at the National University of Singapore. Her teaching experience includes courses on Software Engineering (Introduction, Project development, Testing), Computer Networks, Parallel Computing, and Performance Analysis. Cristina received her PhD in Computer Science in 2013 from National University of Singapore where she worked under the supervision of Associate Professor Yong Meng Teo . Her research interests include analytic modeling and performance analysis for distributed systems. News I will teach CS3210 (Parallel Computing) and CS3201/2 (Software Engineering Project I and II) during Sem 1, AY 2017/18. Teaching Current Past Research Projects Publications Talks Personal CSTalks Friends Romania Last updated August 2017. diff --git a/src/data/compiled_bios/1377.txt b/src/data/compiled_bios/1377.txt new file mode 100644 index 0000000000..574df439e2 --- /dev/null +++ b/src/data/compiled_bios/1377.txt @@ -0,0 +1 @@ + Trevor E. Carlson Join Us I am an assistant professor at the National University of Singapore working to develop high-efficiency microarchitectures that can meet the performance and needs of future IoT and server applications. The foundation for our architecture research comes from our experience in fast and accurate simulation methodologies and analytical modeling. Additionally, I co-develop the Sniper Multi-Core Simulator . We are currently hiring PhD students and postdoc researchers in the area of Secure Systems-on-a-Chip as well as PhD students interested in research in computer architecture and related areas for efficiency and performance. See our open positions page for more details. Contact us at tcarlsoncomp.nus.edu.sg ; You can find me at COM2-03-43. [ Google Scholar ][ ORCID ][ DBLP ] Selected Publications Sampled Simulation of Task-Based Programs Analyical Modeling Sampling T. Grass, T. E. Carlson , A. Rico, G. Ceballos, E. Ayguad, M. Casas, and M. Moreto IEEE Transactions on Computers (TC) , 2018 . SWOOP: Software-Hardware Co-Design for Non-Speculative Execute-Ahead, In-Order Cores Compilers Efficient Hardware K.-A. Tran, A. Jimborean, T. E. Carlson , K. Koukos, M. Sjlander, and S. Kaxiras The ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI) , 2018 . Non-Speculative Load Reordering in Total Store Ordering Efficient Hardware S. Kaxiras, T. E. Carlson , M. Alipour, and A. Ros IEEE Micro Top Picks from the Computer Architecture Conferences (TopPicks) , 2018 . Maximizing Limited Resources: A Limit-Based Study and Taxonomy of Out-of-Order Commit Performance Analaysis Efficient Hardware M. Alipour, T. E. Carlson , D. Black-Schaffer, and S. Kaxiras Journal of Signal Processing Systems , 2018 . Behind the Scenes: Memory Analysis of Graphical Workloads on Tile-based GPUs Nominated Best Paper Performance Analaysis G. Ceballos, A. Sembrant, T. E. Carlson , and D. Black-Schaffer International Symposium on Performance Analysis of Systems and Software (ISPASS) , 2018 . Transcending Hardware Limits With Software Out-of-order Processing Best of CAL Efficient Hardware T. E. Carlson , K.-A. Tran, A. Jimborean, K. Koukos, M. Sjlander, and S. Kaxiras International Symposium on High Performance Computer Architecture (HPCA) , 2018 . Static Instruction Scheduling for High Performance on Limited Hardware Compilers K. A. Tran, T. E. Carlson , K. Koukos, M. Sjlander, V. Spiliopoulos, S. Kaxiras, and A. Jimborean IEEE Transactions on Computers (TC) , 2017 . A Graphics Tracing Framework for Exploring CPU+GPU Memory Systems Performance Analaysis A. Sembrant, T. E. Carlson , E. Hagersten, and D. Black-Schaffer IEEE International Symposium on Workload Characterization (IISWC) , 2017 . Non-Speculative Load-Load Reordering in TSO Efficient Hardware A. Ros, T. E. Carlson , M. Alipour, and S. Kaxiras International Symposium on Computer Architecture (ISCA) , 2017 . Exploring the Performance Limits of Out-of-order Commit Performance Analaysis Efficient Hardware M. Alipour, T. E. Carlson , and S. Kaxiras Computing Frontiers Conference (CF) , 2017 . Clairvoyance: Look-ahead Compile-time Scheduling Compilers K.-A. Tran, T. E. Carlson , K. Koukos, M. Sjlander, V. Spiliopoulos, S. Kaxiras, and A. Jimborean International Symposium on Code Generation and Optimization (CGO) , 2017 . Analytical Processor Performance and Power Modeling Using Micro-Architecture Independent Characteristics Analyical Modeling S. Van den Steen, S. Eyerman, S. D. Pestel, M. Mechri, T. E. Carlson , D. Black-Schaffer, E. Hagersten, and L. Eeckhout IEEE Transactions on Computers (TC) , 2016 . CoolSim: Statistical Techniques to Replace Cache Warming With Efficient, Virtualized Profiling Best Paper Simulation N. Nikoleris, A. Sandberg, E. Hagersten, and T. E. Carlson Conference on Embedded Computer Systems: Architectures, Modeling and Simulation (SAMOS) , 2016 . Long Term Parking (LTP): Criticality-aware Resource Allocation in OOO Processors Efficient Hardware A. Sembrant, T. E. Carlson , E. Hagersten, D. Black-Shaffer, A. Perais, A. Seznec, and P. Michaud International Symposium on Microarchitecture (MICRO) , 2015 . Full Speed Ahead: Detailed Architectural Simulation at Near-Native Speed Simulation A. Sandberg, N. Nikoleris, T. E. Carlson , E. Hagersten, S. Kaxiras, and D. Black-Schaffer IEEE International Symposium on Workload Characterization (IISWC) , 2015 . The Load Slice Core Microarchitecture Efficient Hardware T. E. Carlson , W. Heirman, O. Allam, S. Kaxiras, and L. Eeckhout International Symposium on Computer Architecture (ISCA) , 2015 . Chrysso: An Integrated Power Manager for Constrained Many-core Processors Efficient Hardware S. S. Jha, W. Heirman, A. Falcn, T. E. Carlson , K. Van Craeynest, J. Tubella, A. Gonzlez, and L. Eeckhout International Conference on Computing Frontiers (CF) , 2015 . Micro-architecture Independent Analytical Processor Performance and Power Modeling Nominated Best Paper Analyical Modeling S. Van den Steen, S. D. Pestel, M. Mechri, S. Eyerman, T. E. Carlson , D. Black-Schaffer, E. Hagersten, and L. Eeckhout International Symposium on Performance Analysis of Systems and Software (ISPASS) , 2015 . An Evaluation of High-Level Mechanistic Core Models Performance Analaysis Simulation T. E. Carlson , W. Heirman, S. Eyerman, I. Hur, and L. Eeckhout ACM Transactions on Architecture and Code Optimization (TACO) , 2014 . BarrierPoint: Sampled Simulation of Multi-threaded Applications Nominated Best Paper Sampling T. E. Carlson , W. Heirman, K. V. Craeynest, and L. Eeckhout International Symposium on Performance Analysis of Systems and Software (ISPASS) , 2014 . Undersubscribed Threading on Clustered Cache Architectures Efficient Hardware W. Heirman, T. E. Carlson , K. Van Craeynest, I. Hur, A. Jaleel, and L. Eeckhout International Symposium on High Performance Computer Architecture (HPCA) , 2014 . PCantorSim: Accelerating Parallel Architecture Simulation Through Fractal-based Sampling Sampling C. Jiang, Z. Yu, H. Jin, C. Xu, L. Eeckhout, W. Heirman, T. E. Carlson , and X. Liao ACM Transactions on Architecture and Code Optimization (TACO) , 2013 . Sampled Simulation of Multi-Threaded Applications Best Paper Sampling T. E. Carlson , W. Heirman, and L. Eeckhout International Symposium on Performance Analysis of Systems and Software (ISPASS) , 2013 . Power-Aware Multi-Core Simulation for Early Design Stage Hardware/Software Co-Optimization Simulation W. Heirman, S. Sarkar, T. E. Carlson , I. Hur, and L. Eeckhout Proceedings of the International Conference on Parallel Architectures and Compilation Techniques (PACT) , 2012 . Using Cycle Stacks to Understand Scaling Bottlenecks in Multi-threaded Workloads Performance Analaysis W. Heirman, T. E. Carlson , S. Che, K. Skadron, and L. Eeckhout IEEE International Symposium on Workload Characterization (IISWC) , 2011 . Sniper: Exploring the Level of Abstraction for Scalable and Accurate Parallel Multi-Core Simulations Simulation T. E. Carlson , W. Heirman, and L. Eeckhout International Conference for High Performance Computing, Networking, Storage and Analysis (SC) , 2011 . Using Fast and Accurate Simulation to Explore Hardware/Software Trade-offs in the Multi-Core Era Performance Analaysis W. Heirman, T. E. Carlson , S. Sarkar, P. Ghysels, W. Vanroose, and L. Eeckhout International Conference on Parallel Computing (ParCo) , 2011 . 3D Stacking of DRAM on Logic Efficient Hardware T. E. Carlson and M. Facchini Three Dimensional System Integration: IC Stacking Process and Design , 2011 . Automated Pathfinding Tool Chain for 3d-stacked Integrated Circuits: Practical Case Study Performance Analaysis D. Milojevic, T. E. Carlson , K. Croes, R. Radojcic, D. F. Ragett, D. Seynhaeve, F. Angiolini, G. V. der Plas, and P. Marchal International Conference on 3D System Integration (3DIC) , 2009 . System-level Power/Performance Evaluation of 3D Stacked DRAMs for Mobile Applications Performance Analaysis Efficient Hardware M. Facchini, T. E. Carlson , A. Vignon, M. Palkovic, F. Catthoor, W. Dehaene, L. Benini, and P. Marchal Conference on Design, Automation and Test in Europe (DATE) , 2009 . Generic Multiphase Software Pipelined Partial FFT on Instruction Level Parallel Architectures Efficient Hardware M. Li, D. Novo, B. Bougard, T. E. Carlson , L. V. D. Perre, and F. Catthoor IEEE Transactions on Signal Processing , 2009 . Trevor E. Carlson tcarlsoncomp.nus.edu.sg Office COM2-03-43 Phone +65 6516 7997 trevorcarlson trevorcarlson National University of Singapore School of Computing 13 Computing Drive Singapore, 117417 diff --git a/src/data/compiled_bios/1378.txt b/src/data/compiled_bios/1378.txt new file mode 100644 index 0000000000..d827d37d1e --- /dev/null +++ b/src/data/compiled_bios/1378.txt @@ -0,0 +1 @@ + CHAN, Chee Yong School of Computing National University of Singapore Computing 1 13 Computing Drive Singapore 117417 Republic of Singapore Email: chancy @comp.nus.edu.sg Room: COM1 03-24 Tel: (65) 6516 6736 Fax: (65) 6779 7465 Chee-Yong Chan is an Associate Professor in the Computer Science Department at the National University of Singapore . He received his B.Sc. (Hons) and M.Sc. degrees in Computer Science from the National University of Singapore, and his Ph.D. degree in Computer Science from the University of Wisconsin-Madison . He was a Member of Technical Staff at Bell Labs , Lucent Technologies prior to his return to Singapore . His current research interests include data analytics, database usability, query processing and optimization. Former Students Teaching Publications DBLP Professional Activities Genealogy diff --git a/src/data/compiled_bios/1379.txt b/src/data/compiled_bios/1379.txt new file mode 100644 index 0000000000..e9c8fb4863 --- /dev/null +++ b/src/data/compiled_bios/1379.txt @@ -0,0 +1 @@ + Chan, Mun Choon School of Computing, National University of Singapore Computing 1, 13 Computing Drive, Singapore 117417 Email: chanmc AT comp dot nus dot edu dot sg Office: COM2 #04-17 Tel: (65) 6516 7372 Fax: (65) 6779 4580 Short Bio On-Going Projects Smartphone Based Applications With mobile devices becoming ubiquitous, collaborative applications have become increasingly pervasive. We look into various approaches in which these devices can leverage the available sensing, computation and communication capabilities to design collaborative applications. Chengwen Luo and Mun Choon Chan, Collaborative Inference of Human Conversation Networks Using Smartphones , ACM Conference on Embedded Network Sensor Systems ( Sensys ), 2013. PG Kannan , SP Venkatagiri , MC Chan, AL Ananda, LS Peh, Low Cost Crowd Counting using Audio Tones ," ACM Conference on Embedded Network Sensor Systems ( Sensys ), 2012. Sensor Network Protocols There is a strong emphasis on system implementation in this work. Most of the proposed protocols have been implemented in TinyOS and evaluated on testbeds consisting of MICA2, MICAz and/or TelsoB motes. We have gone through 3 generations of sensor testbeds and the third generation deployment is INDRIYA, a 140 nodes sensor testbed . Manjunath Doddavenkatappa, Mun Choon Chan and Ben Leong, Splash: fast data dissemination with constructive interference in wireless sensor networks , USENIX conference on Networked Systems Design and Implementation (NSDI), 2013. M Doddavenkatappa, MC Chan and Ben Leong, Improving Link Quality by Exploiting Channel Diversity in Wireless Sensor Networks , RTSS 2011. Indriya Sensor Network testbed DTN Applications We look at how DTN routing protocol can benefit from application semantics. A simple motivation example is that it is much better that 50% of the files are completely received than receiving 50% of all the files - resulting in no successful file downloads at all. We propose an application aware routing protocol that can exploit application semantics expressed through a graph structure. Results show improvement of more than 500% in some scenarios. This work is partially funded by the SMART Future Urban Mobility IRG. Xiangfa Guo and Mun Choon Chan, Plankton: An Efficient DTN Routing Algorithm , IEEE International Conference on Sensing, Communications and Networking (SECON), 2013. FC Choo, PV Seshadri , MC Chan, Application-Aware Disruption Tolerant Network, IEEE International Conference on Mobile Ad-hoc and Sensor Systems (MASS), 2011. Energy Efficient Protocol As the current generation of mobile smartphones become more powerful, they are being used to perform more resource intensive tasks. Our measurements show that the display and network resources each consuming close to 45% of the total battery power when fully operational. Hence, we focus on saving energy on both the display and network interface. K Thirugnanam, B Anand, J Sebastian, PG Kannan, AL Ananda, RK Balan, and MC Chan, Dynamic Lookahead Mechanism for Conserving Power in Multi-Player Mobile Games, IEEE INFOCOM 2012 Mini-Conference. B Anand, K Thirugnanam , J Sebastian, PG Kannan , AL Ananda, MC Chan, RK Balan , Adaptive display power management for mobile games, ACM International Conference on Mobile Systems, Applications, and Services ( Mobisys ) 2011. Past Projects Network Access from Vehicular DTN Binbin Chen and Mun Choon Chan, MobiCent : a Credit-Based Incentive System for Disruption Tolerant Network, INFOCOM 2010. Binbin Chen and Mun Choon Chan, " MobTorrent : A Framework for Mobile Internet Access from Vehicles," IEEE Infocom 2009, Rio de Janeiro, Brazil, April 19-25, 2009. (Acceptance Rate: 19.65%) Sensor Network Management Mingze Zhang, Mun Choon Chan and A.L. Ananda, Connectivity Monitoring in Wireless Sensor Networks, Pervasive and Mobile Computing, Vol. 6, Issue 1, Feb 2010, pp. 112-127. Mingze Zhang, Mun Choon Chan and A.L. Ananda, "Coverage Protocol for Wireless Sensor Networks Using Distance Estimates," IEEE SECON, June 18-21, 2007, San Diego, California, USA. (Acceptance rate: ~60/300, ~20%) TCP over 3G Mun Choon Chan and Ram Ramjee , TCP/IP Performance over 3G Wireless Links with Rate and Delay Variation, ACM Mobicom02 , Atlanta , GA, Sep. 2002. (Acceptance Rate: 26/364, 7%) Mun Choon Chan and Ram Ramjee , "Improving TCP/IP Performance over Third Generation Wireless Networks," IEEE Transactions of Mobile Computing, Volume 7, Issue 4, April 2008 Page(s):430 - 443. Wireless Data Caching Mun Choon Chan and Thomas Woo, Cached-Based Compaction: A New Technique for Optimizing Web Transfer, INFOCOM99 , New York, NY, March, 1999. (Acceptance Rate: 184/600, 31%) Mun Choon Chan and Thomas Woo, Cache-based compaction technique for internet browsing using similar objects in client cache as reference objects, US Patent# 6,178,461, Jan 23, 2001. (163 citation on USPTO as of July, 2014). Open Signaling and Network Control Mun Choon Chan and Aurel A. Lazar, Designing a CORBA-Based High Performance Programmable Signaling System for ATM Switching System, Journal of Selected Areas in Communications , special issue on Service Enabling Platforms for Networked Multimedia Systems . Vol. 17, No. 9, pp. 1537-1548, Sep. 1999. Network Management Yow-Jian Lin and Mun Choon Chan, A Scalable Monitoring Approach based on Aggregation and Refinement'', Journal of Selected Areas in Communications , special issue on Recent advances on fundamentals of network management, Vol. 20, No. 4, May 2002. Mun Choon Chan, Aurel . A. Lazar and Rolf Stadler , Customer management and control of broadband VPN services, Fifth IFIP/IEEE International Symposium on Integrated Network Management , San Diego, CA, May 1997. Publications By Year Technical Report Completed and Current Research Grants Graduate Students Name Area Hong Hande (Aug 2012 - ) (submitted thesis for evaluation) Mobile Computing Paramasiven Appavoo (Jan 2014 - ) (co-supervise with Anand Bhojan) Internet of Things Pravein Govindan Kannan (Jan 2015 - ) Software Defined Networks Nishant Budhdev (Aug 2015 - ) (co-supervise with Tulik Mitra) 5G Cloud RAN Ebram Kamal William Aziz (Jan 2017 - ) Data Processing on Sensor Network Past Students Teaching Service This site was last updated Sep 15, 2015 diff --git a/src/data/compiled_bios/138.txt b/src/data/compiled_bios/138.txt new file mode 100644 index 0000000000..354aa7aa92 --- /dev/null +++ b/src/data/compiled_bios/138.txt @@ -0,0 +1 @@ + Home About Prospective Students Teaching Research People Publications Software &Data Talks Jeffrey A. Bilmes Jeffrey A. Bilmes Professor Department of Electrical Engineering , University of Washington, Seattle Adjunct Professor in the Departments of Computer Science and Engineering and Linguistics Contact Jeffrey A. Bilmes Department of Electrical Engineering University of Washington, Seattle Box 352500 Seattle, WA 98195-2500 Tel: +1 206 221-5236 Fax: +1 206 543 3842 b ..... @ee.washington.edu j ..... @gmail.com http://melodi.ee.washington.edu/~bilmes/ Schedule Office hours (Fall 2014): Mondays, 1:30-3:30pm, EEB-418 Teaching schedule for 201415: EE512 Advanced Inference in Graphical Models (Fall'14) , Advanced Submodular Structures (Winter'15), EE516 Speech Processing and Automatic Speech Recognition (Spring'15). Teaching schedule for 201314: Information Theory I (Fall'13) , Information Theory II (Winter'14) , and Submodular Functions (Spring'14). Teaching schedule for 201213: Submodular Functions (Fall), Dynamic Graphical Models (Winter) , EE516 Speech Processing and Automatic Speech Recognition (Spring) . Assistant Pam Eisenheim Tel: +1 206 685 3810 p ... @ee.washington.edu Search this site Go home Email me Last updated Mon Jun 04 03:12 PDT 2018 diff --git a/src/data/compiled_bios/1380.txt b/src/data/compiled_bios/1380.txt new file mode 100644 index 0000000000..c4ef9929e6 --- /dev/null +++ b/src/data/compiled_bios/1380.txt @@ -0,0 +1 @@ + Chang Ee-Chien Office, Mailing address . Hi, I obtained my B.Sc (Hons) in Math from National University of Singapore (NUS) and M.Sc from I2R (formerly Institute of System Science), NUS. I obtained my Ph.d in May 1998 from the Department of Computer Science , New York University . I was a post-doc in DIMACS and NEC Research Institute from July 1999 to July 2000. I was with the Department of Computational Science , NUS in 1998 and 2000. Currently, I am an associate professor in the Department of Computer Science, School of Computing , NUS. Research interests Cloud and Network security, applied cryptography, multimedia/biometric security and multimedia delivery. I am a lead-PI in National Cybersecurity R&D; Lab (NCL) . I'm also a member in NUS-Singtel Cyber Security R&D; Laboratory , and NUS Center for Research in Privacy Technologies (N-CRiPT) . Research positions Our research group has a few research positions (Research Fellows, Research Assistants) available on cloud security, malware analysis and adversarial machine learning. See here and here. National Cybersecurity R&D; Lab invites applications for a number of positions, including software and system engineers. Publications Publications listed in chronological order . Professional Activities Modules Taught CS3230, Algorithms, (2002,2003,2004,2005,2018) CS4241, MultiMedia Information Systems, (2003,2004,2005) CS4236, Principle of Computer Security, (2006,2007,2008,2010) CS4236, Cryptography Theory and Practice, (2012,2014,2015,2016,2017) CS6230, Topics in Information Security, (2006) CS5231, Cryptographic Techniques and Data Security, (2007,2009) CS1231, Discrete Structures, (2008) CS5321, Network Security and Management, (2009,2011,2013) CS2107, Introduction to Information Security, (2014,2015,2016,2017,2018) Students PhD students (year of graduation and first appointment after graduation) Li Qiming , 2006, Research Fellow, Polytechnic University, New York. Sujoy Roy , 2006, Research Fellow, Institute for Infocomm Research, Singapore. Yu Hang, 2007, Research Fellow, Institute for Infocomm Research, Singapore. Ye Shuiming , 2007 (co-supervised with Sun Qibin), Research Fellow, EPFL, Swizterland. Nguyen Vu Thanh , 2008, Research Analyst, AMI-Partners, Singapore. Lu Liming, 2011 (co-supervised with Chan Mun Choon), Software Developer, CE-Infosys Pte Ltd. Xu Jia 2012, Research Fellow, Institute for Infocomm Research, Singapore. Fang Chengfang 2014, Researcher, Huawei International, Singapore. Zhang Chunwang 2015, Research Fellow, Institute for Infocom Research, Singapore. Hung Dang. 2019, Research Fellow, National University of Singapore, Singapore. MSc students (year of graduation and first appointment after graduation) Guan Xin , 2001, continuing graduate studies in SUNY, Stony Brook. Gao Ping, 2004. Shen Ren , 2006, Associate, Risk Advisory Services, KPMG, Singapore Wang Yuyi, 2010, continuing PhD studies in K. U. Leuven, Belgium Internship Yu Jie, Sep 2008 to Sep 2009, from National University of Defense Technology, China Liu Xuejiao, Sep 2009 to Aug 2010, from Huazhong Normal University, China Zhu Yixiao, Sep 2018 to Aug 2019, from Xidian University, China diff --git a/src/data/compiled_bios/1381.txt b/src/data/compiled_bios/1381.txt new file mode 100644 index 0000000000..24da0a7864 --- /dev/null +++ b/src/data/compiled_bios/1381.txt @@ -0,0 +1 @@ + NUS Computing Current UG MySoC Email Student Staff Alumni Sidebar Main Menu About Programmes Student Life Research Entrepreneurship Industry Quicklinks Current UG MySoC Email Student Staff Alumni About Departments Industry Advisory Committee Management Faculty & Staff Directory Faculty Photo Directory Admin Photo Directory Expert Directory News Corporate Relations Giving Careers Contact Us Programmes Undergraduate Computer Science Information Systems Computer Engineering Business Analytics Information Security Special Programmes Double Major Minors Resources for Current Students Graduate PhD in Computer Science PhD in Information Systems MSc+PhD (by Research) Master's in Computer Science Master's in Information Systems Master's in Infocomm Security Master's in Artificial Intelligence Master's in Business Analytics Graduate Certificates Graduate Certificate in Computing Foundations Part-time & Executive Education Bachelor of Technology Advanced Computing for Executives Student Life About Us Internships Student Leadership Programme Financial Support/Assistance Student Wellness and Wellbeing Career Services Professional Workshop Student Clubs/Interest Groups Contact Us Research Research Centres Research Areas Entrepreneurship Leadership The Furnace Alumni Companies Funding Opportunities Awards Innovation Research Centres News & Events Contact Us Industry Corporate Relations Contact Us Search ... Home Dept. of Computer Science Biography CHEN Tsuhan CHEN Tsuhan Distinguished Professor Deputy President (Research and Technology) PhD in Electrical Engineering, California Institute of Technology, Pasadena, California MS in Electrical Engineering , California Institute of Technology, Pasadena, California BSc in Electrical Engineering, National Taiwan University COM1-03-04 651 64544 Research Areas Media Artificial Intelligence Research Interests Computer Vision and Pattern Recognition Multimedia Coding and Retrieval Biometric Authentication Profile Prof. Chen Tsuhan is the Deputy President (Research and Technology) and Distinguished Professor at National University of Singapore (NUS). He also serves as the Chief Scientist of AI Singapore, a national programme in artificial intelligence. Prof. Chen is a renowned expert in pattern recognition, computer vision and machine learning. He joined NUS from Cornell University, Ithaca, New York, United States, where he had been the David E. Burr Professor of Engineering since 2009. From 2009 to 2013, when he served as Director, School of Electrical and Computer Engineering at Cornell, he promoted the School to top ranking positions and launched several initiatives to boost innovation as well as foster research and teaching excellence. He also directed the Advanced Multimedia Processing Laboratory. From 1997 to 2008, Prof. Chen was a Professor with the Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, Pennsylvania, USA, where he served as the Associate Department Head from 2007 to 2008. Prof. Chen was the Cheng Tsang Man Chair Professor and Dean of the College of Engineering (CoE) at the Nanyang Technological University (NTU) from 2015 to 2017. He championed faculty recruitment and pioneered support schemes at the NTU CoE to encourage inter-school multidisciplinary programmes, aligned with the domain areas identified in RIE2020. Prof. Chen was appointed the Editor-in-Chief for IEEE Transactions on Multimedia in 2002-2004. He was elected to the Board of Governors, 2007-2009, and a Distinguished Lecturer, 2007-2008, both with the IEEE Signal Processing Society. Prof. Chen received the Charles Wilts Prize for outstanding independent research at the California Institute of Technology in 1993. He was a recipient of the US National Science Foundation CAREER Award from 2000 to 2003. He received the Benjamin Richard Teare Teaching Award in 2006, the Eta Kappa Nu Award for Outstanding Faculty Teaching in 2007, both at the Carnegie Mellon University, and the Michael Tien Teaching Award in 2014 at the Cornell University. Prof. Chen has published more than 300 technical papers and holds close to 30 US patents. He is a member of the Phi Tau Phi Scholastic Honor Society, a Fellow of IEEE, and a Fellow of the Institute of Engineers, Singapore. He earned his PhD degree in electrical engineering from the California Institute of Technology, Pasadena, California, USA, in 1993. Current Projects AI Singapore Selected Publications An empirical study of language CNN for image captioning J Gu, G Wang, J Cai, T Chen International Conference on Computer Vision (ICCV) 2017 Querying Users as Oracles in Tag Engines for Personalized Image Tagging Amandianeze Nwana, T Chen IEEE MultiMedia, 2017 In the shadows, shape priors shine: using occlusion to improve multi-region segmentation Y Kihara, M Soloviev, T Chen IEEE Conference on Computer Vision and Pattern (CVPR) 2016 Robust low-dose CT perfusion deconvolution via tensor total-variation regularization R Fang, S Zhang, T Chen, PC Sanelli IEEE Transactions on Medical Imaging 2015 3D reasoning from blocks to stability Z Jia, AC Gallagher, A Saxena, T Chen IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI) 2015 You are here: Mimicking the human thinking process in reading floor-plans H Chu, D Ki Kim, T Chen IEEE International Conference on Computer Vision (ICCV) 2015 A mixed bag of emotions: Model, predict, and transfer emotion distributions KC Peng, T Chen, A Sadovnik, AC Gallagher IEEE Conference on Computer Vision and Pattern (CVPR) 2015 Kinship classification by modeling facial feature heredity R Fang, AC Gallagher, T Chen, A Loui IEEE International Conference on Image Processing (ICIP), 2013 Spoken attributes: Mixing binary and relative attributes to say the right thing A Sadovnik, A Gallagher, D Parikh, T Chen IEEE International Conference on Computer Vision (ICCV) 2013 Automatic discovery of groups of objects for scene understanding C Li, D Parikh, T Chen IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2012 Awards & Honours 2017, received the Robert M Janowiak Outstanding Leadership and Service Award 2014, received the Michael Tien Teaching Award at the Cornell University 2013-2014, served as President of the ECE Department Head of Association 2012-2013, served as Vice Preseident of the ECE Department Head of Association 2007-2009, elected to the Board of Governors with the IEEE Signal Processing Society 2007-2008, elected as Distinguished Lecturer with the IEEE Signal Processing Society 2007, received the Eta Kappa Nu Award for Outstanding Faculty Teaching at the Carnegie Mellon University 2006, received the Benjamin Richard Teare Teaching Award at the Carnegie Mellon University 2000-2003, recipient of the US National Science Foundation CAREER Award, titled "Multimodal and Multimedia Signal Processing" Teaching (2018/2019) JavaScript is currently disabled. Please enable it for a better experience of Jumi . Undergraduate Programmes Computer Science Information Systems Computer Engineering Business Analytics Information Security Special Programmes Undergraduate Brochure Admissions Undergraduate Graduate Financial Aid Graduate Programmes PhD in Computer Science PhD in Information Systems Master's in Computer Science Master's in Information Systems Master's in Infocomm Security Master's in Artificial Intelligence Master's in Business Analytics Graduate Certificates Graduate Certificate in Computing Foundations Part-time & Executive Education Bachelor of Technology Advanced Computing for Executives Organisation About Dept. of Computer Science Dept. of Information Systems and Analytics Industry Advisory Committee Management Faculty & Staff Directory Faculty Photo Directory Admin Photo Directory Expert Directory News Corporate Relations Giving Careers Resources MySoC Email Student Staff Events Calendar IVLE Library Alumni Facilities & Services Student Jobs NUS School of Computing Computing 1 13 Computing Drive Singapore 117417 +65 6516 2727 Contact Us Directions Organisation About Dept. of Computer Science Dept. of Information System and Analytics Industry Advisory Committee Management Staff Directory Faculty Photo Directory Admin Photo Directory News Corporate Relations Giving Careers Resources MySoC Email Student Staff Events Calendar IVLE Library Alumni Facilities & Services Student Jobs IMIN National University of Singapore . All Rights Reserved. Legal Branding guidelines Contact us JavaScript is currently disabled. Please enable it for a better experience of Jumi . diff --git a/src/data/compiled_bios/1382.txt b/src/data/compiled_bios/1382.txt new file mode 100644 index 0000000000..3367ff7e5f --- /dev/null +++ b/src/data/compiled_bios/1382.txt @@ -0,0 +1 @@ + if !vml endif CHENG Ho- lun , Alan B.Sc. ( CUHK ), M.Phil. ( HKUST ), Ph.D. ( UIUC ) Alan, CHENG Ho- lun was born in Hong Kong . He completed his Bachelor's degree in computer science at the Chinese University of Hong Kong and M.Phil. in computer science at the Hong Kong University of Science and Technology . He then began his doctoral work at the University of Illinois at Urbana-Champaign , completing a Ph.D. in computer science in May 2002, with thesis titled " Algorithms for Smooth and Deformable Surfaces in 3D " ( pdf ) under the supervision of Prof. Herbert Edelsbrunner . (Thus, my Erdos number is 3 and here is my mathematical genealogy .) Ho- lun's interests include computational geometry, parametric surfaces, computer graphics, visualization . He was a teaching assistant during his master degree and received the Best Teaching Assistant Award in 1996 at HKUST. During the Ph.D. years, he was a visiting scholar in the BioGeometry Center in Duke University . Quick Links [ Google Scholar ][ Computational Geometry Links ][ MySoc ][ MUH ][ BG ] Consultation Hours Thu 2:00-4:00pm Courses CS1102C Data Structure and Algorithms CS5237 Computation Geometry and its Applications CS3241 Computer Graphics Research Interests Computational geometry and topology, molecular modeling, meshing, parametric surfaces, computer graphics. Currently my main research is on the Skin surface , here is an example of a simple molecule modeled by the skin surface. "What's My Problems?" Fast meshing of the skin surfaces with creeping Area and volume derivatives of clipped hyperboloids and spheres in 3D Quadratic surface clipping Gabriel graphs Geometric alignments with colors Medial axis of skin curves/surfaces Ligand docking Publications Contacts: Office: AS6, #05-03 Mailing Address: National University of Singapore Computing 1 13 Computing Drive Singapore 117417 Republic of Singapore email: hcheng@comp.nus.edu.sg Tel: +65 6516-8732 Fax: +65 6779-4580 Personal Page last updated : 09/06/2004 diff --git a/src/data/compiled_bios/1383.txt b/src/data/compiled_bios/1383.txt new file mode 100644 index 0000000000..9294c41e86 --- /dev/null +++ b/src/data/compiled_bios/1383.txt @@ -0,0 +1 @@ + my.MinimalistDomain "Truth is ever to be found in simplicity, and not in the multiplicity and confusion of things." -- Issac Newton my.Research my.Teaching my.Contact diff --git a/src/data/compiled_bios/1384.txt b/src/data/compiled_bios/1384.txt new file mode 100644 index 0000000000..2482b293f5 --- /dev/null +++ b/src/data/compiled_bios/1384.txt @@ -0,0 +1 @@ + Chin Wei Ngan Associate Professor Department of Computer Science School of Computing National University of Singapore 13 Computing Drive Singapore 117417 Phone : (65)6516 6228 Fax : (65)6779 4580 Email : at comp.nus.edu.sg with chinwn Coming Conferences/Workshops Please consider submitting a paper to the following: OOPSLA/SPLASH 2016 (30Oct - 4Nov 2016 Amsterdam). Education PhD Computing, Imperial College of Science, Technology and Medicine (UK), 1990 MSc Computer Sc., University of Manchester (UK), 1983 BSc (Hons I) Computer Sc., University of Manchester (UK), 1982 Current Research Interests Automated Program Verification Secure and Dependable Software Type Systems and Program Analyses Software Specification and Models Programming Language Design Current Projects Automated Specification Discovery for Trusted Software (MoE Tier-2 funded) Security - Software Library Verification (NRF-funded) Other Projects A Fixpoint Calculator ( click here ) SLEEK : Entailment Prover for Separation Logic HIP : Program Verifier for an Imperative Language ( click here ) HIPO : Program Verifier for an OO Language Specification and Verification for Future Programmers 2009-2013 (MoE Tier-2) ( details here ) A Constructive Approach to Dependable Software 2006-2009 (funded by A*STAR) A Scalable Region-Based Memory for SSCLI 2006-2008 ( click here ) (funded by Microsoft Research) Publications Graduate Studies Graduate Programmes in School of Computing at NUS Corporate Support Officer: Loo Line Fong Office: S15 5-24 Tel: 4707 Email: loolf@comp.nus.edu.sg How to be a good graduate student? from cs.indiana.edu Advice on Research and Writting from cs.cmu.edu Last Updated: August, 2009 This document, index.html , has been accessed 7363 times since 19-Jan-18 17:04:39 SGT. This is the 24th time it has been accessed today. A total of 3358 different hosts have accessed this document in the last 397 days; your host, irg-138.ip.ctc.biz , has accessed it 19 times. If you're interested, complete statistics for this document are also available, including breakdowns by top-level domain, host name, and date. diff --git a/src/data/compiled_bios/1385.txt b/src/data/compiled_bios/1385.txt new file mode 100644 index 0000000000..b06b92be6b --- /dev/null +++ b/src/data/compiled_bios/1385.txt @@ -0,0 +1 @@ + Chong Ket Fah, Instructor Email: chongket@comp.nus.edu.sg Tel: (+65) 6601-1037 Off: COM2-02-66 , Welcome to my academic home page. I am currently an instructor at the National University of Singapore (NUS), School of Computing, teaching CS1010E and other introductory programming modules. I received my Ph.D at NUS in 2011 under the supervision of Assoc. Prof. Leong Hon Wai . diff --git a/src/data/compiled_bios/1386.txt b/src/data/compiled_bios/1386.txt new file mode 100644 index 0000000000..f89be4448d --- /dev/null +++ b/src/data/compiled_bios/1386.txt @@ -0,0 +1 @@ + National University of Singapore who are the next? Dr. DONG, Jin Song (on leave) Professor, Computer Science Dept, School of Computing, National University of Singapore 13 Computing Drive Singapore 117417 E-mail: dcsdjs at nus dot edu dot sg Research Interests Qualifications Work Experiences Publications PhD Students Personal Interests Research areas design analysis and model checking ( PAT ) context awareness and pervasive computing ( Semantic Space ) real-time concurrent system specification ( TCOZ ) web semantics, services, agent and reasoning formal methods and safety/security critical systems object, component, and language semantics Qualifications PhD, University of Queensland, Australia (93 - 95) BInfTech with First Class Honours, University of Queensland, Australia (89-92) - Major in Software Engineering. Work Experiences Professor (2016) Associate Professor (2005) Assistant Professor (1998), Computer Science Department , School of Computing , National University of Singapore (NUS) Member of PhD supervisors at NUS Graduate School for Integrative Sciences and Engineering (NGS) Co-Director of the IPAL Lab PhD QE Co-ordinator (CS Department, 2008-2014). Graduate Committee Member (Graduate Office, SoC, 2001-2014). Assistant Dean (Graduate Office, SoC, 2005-2008). Search Committee Member (CS Department, 2005-2008). SINGA committee Member (NUS, 2007-2009). Publication Ranking Committee (CS Department, 2001-2010). CS Exco Committee Member (CS Department, 2008-2011). Senior Research Scientist (1998), Research Scientist (1995-98), Division of Mathematical and Information Sciences , Commonwealth Scientific and Industrial Research Organisation (CSIRO) , Australia Tutor (1991-95), CS Department , The University of Queensland. Senior Research Assistant, Software Verification Research Centre (11/92-1/93) Research Assistant, CS Dept, The University of Queensland (11/91-1/92) Some Awards/Recognition IEEE Certificate of Appreciation for Outstanding Service as the Program Co-Chair at the 12th IEEE International Conference on Engineering of Complex Computer Systems (ICECCS'07), by IEEE Computer Society Visiting Fellow at Kellogg College, Oxford University (elected during 2006 sabbatical) NUS Young Researcher Award (2004) Richard Jago Memorial Prize (1995), Australian Postgraduate Award (93-95) Some Professional and Research Activities Organisations: Editorial Board Member of ACM Transactions on Software Engineering and Methodology (ACM TOSEM) Editorial Board Member of Formal Aspects of Computing Journal (FAoC) Editorial Board Member of Innovations in Systems and Software Engineering, A NASA Journal (ISSE) Steering Committee Chair of ICFEM, International Conference on Formal Engineering Methods Steering Committee Vice-Chair of APSEC, Asia-Pacific Software Engineering Conference Steering Committee Member of PRDC, IEEE Pacific Rim International Symposium on Dependable Computing Steering Committee Member of FME, Formal Methods Europe Steering Committee Member of APSEC, Asia-Pacific Software Engineering Conference General Chair of the 19th International Symposium on Formal Methods, FM'14, Singapore, May 2014. General Co-Chair of 18th IEEE International Conference on Engineering of Complex Computer Systems (ICECCS'13), Singapore, July 2013. General Co-Chair of The 15th International Conference on Formal Engineering Methods, Queenstown, NZ. Oct 29 - Nov 1, 2013. Program Co-Chair of The 12th International Conference on Formal Engineering Methods, Shanghai, China, Nov 2010. General Chair of 8th International Symposium on Automated Technology for Verification and Analysis (ATVA'10) 21-24 September 2010, Singapore General Chair of The 4th IEEE International Conference on Secure Software Integration and Reliability Improvement (SSIRI'10), Singapore, 9-11 June, 2010 Conference Co-Chair of 6th International Conference on Integrated Formal Methods (IFM'07), Oxford, UK, 2-6 July 2007 Program Co-Chair of 12th IEEE International Conference on Engineering of Complex Computer Systems (ICECCS'07), Auckland, NZ, 11-14 July 2007. Tutorial Chair of the 14th International Symposium on Formal Methods, FM 2006, Canada. Program Co-Chair of International Workshop on Web Languages and Formal Methods WLFM 2005, UK. Program Co-Chair of ICFEM 2003, Singapore . Program Co-Chair of APSEC 2000, Singapore . Program Committee Member of The 36th International Conference on Software Engineering, ICSE'14, Hyderabad, India, June 1-7, 2014 , ICSE'10, Cape Town, May 2010 FM 2011: 17th International Symposium of Formal Methods, Ireland. June 2011 . FM'09, Eindhoven, the Netherlands , 13th FM'05, Newcastle, UK . FM'99, World Congress, Toulouse France, 1999. 9th International Conference on Integrated Formal Methods IFM2012, Pisa, Italy . IFM2010, Nancy, France . IFM'07, Oxford, UK , IFM'05, Eindhoven, The Netherlands. Nov 2005 , IFM'04, Canterbury UK . IFM'02, Turku, Finland . IFM'00, Schloss Dagstuhl, Germany . IFM'99, York, UK . 13th ICFEM 2011, Durham, UK . 10th ICFEM 2008, Kitakyushu-City, Japan . ICFEM'07, Florida, USA. . ICFEM'05, Manchester UK . ICFEM'04, Seattle USA . ICFEM'03, Singapore . ICFEM'02, Shanghai China , ICFEM'00, York UK , ICFEM'98, Brisbane Australia The 2nd NASA Formal Methods Symposium NFM'10, Washington D.C., April 13-15, 2010 The 5th Annual European Semantic Web Conference ESWC 2008, Tenerife, Spain. 2008 The 5th International Semantic Web Conference ISWC 2006, Athens, USA. and SWESE 2006 4th International Conference of B and Z Users ZB'05, Guildford UK, 11th IEEE International Conference on Engineering of Complex Computer Systems ICECCS'06, Stanford University, USA . ICECCS'05, Shanghai China . ICECCS'04, Florence, Italy . ICECCS'02, Greenbelt USA . ICECCS'01, Skovde, Sweden . ICECCS'00, Tokyo, Japan . ICECCS'99, Las Vegas, USA . 8th International Conference on Quality Software, QSIC'08, Oxford, UK . QSIC'07, Oregon USA . QSIC'05, Melbourne Australia . QSIC'04 Braunschweig Germany . QSIC'03, Dallas USA . APAQS'01, Hong Kong . 15th APSEC'08, Beijing, China . APSEC'07, Nagoya, Japan . APSEC'06, Bangalore, India . APSEC'04, Busan, Korea . APSEC'03, Chiangmai, Thailand . APSEC'02, Gold Coast, Australia . APSEC'01, Macau . APSEC'00, Singapore . APSEC'99, Takamatsu Japan 5th IEEE International Conference on Software Engineering and Formal Methods SEFM'07, London, UK . SEFM'05, Koblenz Germany . SEFM'04, Beijing China . SEFM'03, Brisbane Australia . 20th International Conference on Software Engineering and Knowledge Engineering, SEKE'08, San Francisco, USA. SEKE'07, Boston, USA. SEKE'06, San Francisco Bay, USA. SEKE'05, Taipei Taiwan, 2005 Research projects Publications Editorship J. S. Dong and H. Zhu (Editors), Formal Methods and Software Engineering, Proceedings of the 12th International Conference on Formal Engineering Methods, LNCS (vol 2885), Springer-Verlag, Nov 2010. J. S. Dong and J. Sun (Editors). Special Issue on the Grand Verification Challenge, Science of Computer Programming, Volume 74(4): (2009) A. Arenas, J. S. Dong, A. Martin, B. Matthews (Editors). Special Issue on Web Languages and Formal Methods (WLFM'05). Electr. Notes Theor. Comput. Sci. 151(2): (2006) J. S. Dong and J. Woodcock (Editors), Formal Methods and Software Engineering, Proceedings of the 5th International Conference on Formal Engineering Methods, LNCS (vol 2885), Springer-Verlag, Nov 2003. J. S. Dong, J. He and M. Purvis (Editors), Proceedings of The 7th Asia-Pacific Software Engineering Conference, IEEE Press. Dec 2000. Refereed Papers in Journals/Monographs/Conferences (partial list) T. Tan, M. Chen, J. Sun, Y. Liu, . Andr, J. S. Dong. Optimizing Selection of Competing Services with Probabilistic Hierarchical Refinement. The 38th International Conference on Software Engineering (ICSE 2016), Austin, TX, May, 2016. (accepted) T. Wang, J. Sun, Y. Liu, Y. Si, J.S. Dong, X. Li. A Systematic Study on Non-Zenoness Checking for Timed Automata. IEEE Transactions on Software Engineering (TSE), 41(1): 3-18 (2015). L. Li, J. Sun, Y. Liu, J. S. Dong: Verifying Parameterized Timed Security Protocols. FM 2015: 342-359 G. Bai, J. Sun, J. Wu, Q. Ye, L. Li, J. S. Dong, S. Guo: All Your Sessions Are Belong to Us: Investigating Authenticator Leakage through Backup Channels on Android. ICECCS 2015: 60-69 Q. Ye, G. Bai, K. Wang, J. S. Dong: Formal Analysis of a Single Sign-On Protocol Implementation for Android. ICECCS 2015: 90-99 J. S. Dong, L. Shi, L. Chuong, K. Jiang, J. Sun: Sports Strategy Analytics Using Probabilistic Reasoning. ICECCS 2015: 182-185 T. Tan, Y. Xue, M. Chen, J. Sun, Y. Liu, J. S. Dong: Optimizing selection of competing features via feedback-directed evolutionary algorithms. ISSTA 2015: 246-256 L. Gui, J. Sun, Y. Liu, J. S. Dong: Reliability assessment for distributed systems via communication abstraction and refinement. ISSTA 2015: 293-304 . Andr, Y. Liu, J. Sun, J. S. Dong. Parameter Synthesis for Hierarchical Concurrent Real-Time Systems. Real-Time System journal, 50(5-6): 620-679 (2014). Y. Liu, J. Sun, J. S. Dong, J. Biswas, M. Mokhtari. Towards Formal Modeling and Verification of Pervasive Computing Systems. Transactions on Computational Collective Intelligence, XVI: 62-91, Springer, 2014 S. Lin, E. Andre, Y. Liu, J. Sun, J. S. Dong, Learning Assumptions for Compositional Verification of Timed Systems, IEEE Transactions on Software Engineering (TSE), 40(2): 137-153 (2014) Y. Li, J. S. Dong, J. Sun, Y. Liu. Model Checking Approach to Automated Planning, Formal Methods in System Design (FMSD) journal, Springer, 44(2): 176-202 (2014) S. Song, J. Zhang, Y. Liu, M. Auguston, J. Sun, J. S. Dong, T. Chen. Formalizing and Verifying Stochastic System Architectures Using Monterey Phoenix, Software and Systems Modeling (SSM) journal, Springer, April 2014. J. S. Dong, Y. Liu, J. Sun, X. Zhang. Towards verification of computation orchestration. Formal Aspects of Computing (FAOC). Springer, 26(4): 729-759 (2014) Y. Liu, W. Chen, Y. A. Liu, J. Sun, S. Zhang and J. S. Dong. Verifying Linearizability via OptimizedRefinement Checking. IEEE Transactions on Software Engineering (TSE), 39(7):1018-1039, 2013. L. Gui, J. Sun, Y. Liu, Y. Si, J. S. Dong and X. Wang. Combining Model Checking and Testing with an Application to Reliability Prediction and Distribution. The International Symposium in Software Testing and Analysis (ISSTA 2013) , Lugano, Switzerland, 15-20 July 2013. . Andr, Y. Liu, J. Sun, J. S. Dong and S. Lin. Parameter Synthesis for Hierarchical Concurrent Real-Time Systems. The 25th International Conference on Computer Aided Verification (CAV 2013), Saint Petersburg, Russia, July, 2013. T. H. Tan, E. Andre, J. Sun, Y. Liu, J. S. Dong and M. Chen. Dynamic Synthesis of Local Time Requirement for Service Composition. The 35th International Conference on Software Engineering (ICSE 2013), San Francisco, USA, May, 2013 G. Bai, J. Lei, G. Meng, S. Venkatraman, P. Saxena, J. Sun, Y. Liu, and J. S. Dong. AUTHSCAN: Automatic Extraction of Web Authentication Protocols from Implementations. Proceedings of the Network and Distributed System Security Symposium, NDSS 2013, San Diego, California, USA, February 24-27, 2013 J. Sun, Y. Liu, J. S. Dong, Y. Liu, L. Shi and E. Andre. Modeling and Verifying Hierarchical Real-time Systems using Stateful Timed CSP. ACM Transactions on Software Engineering and Methodology (TOSEM), 22(1):3:1-3:29, 2013. S-W. Lin, Y. Liu, J. Sun, J. S. Dong and E. Andre. Automatic Compositional Verification of Timed Systems . The 18th International Symposium on Formal Methods (FM'12) , Paris, France, Auguest 27 - 31, 2012. T. K. Nguyen, J. Sun, Y. Liu, J. S. Dong and Y. Liu. Improved BDD-based Discrete Analysis of Timed Systems . The 18th International Symposium on Formal Methods (FM'12) , Paris, France, Auguest 27 - 31, 2012. S. Song, J. Sun, Y. Liu, and J. S. Dong. A Model Checker for Hierarchical Probabilistic Real-time Systems . 24th International Conference on Computer Aided Verification (CAV 2012) , Berkeley, California, USA, July 7-13, 2012. S. Song, J. Hao, Y. Liu, J. Sun, H. Leung, and J. S. Dong. Analyzing Multi-agent Systems with Probabilistic Model Checking Approach . The 34th International Conference on Software Engineering (ICSE 2012) , New Ideas and Emerging Results (NIER), Zurich, Switzerland, June 2 - 9, 2012. S. Zhang, J. Sun, J. Pang, Y. Liu and J. S. Dong. On Combining State Space Reductions with Global Fairness Assumptions. The 17th International Symposium on Formal Methods (FM 2011), pages 432 - 447, Lero, Limerick, Ireland, June 20 - 24, 2011. N. N. Tun, J. S. Dong and S. Tojo. A philosophy-driven entity classification and enrichment for ontology mapping. Expert Systems, Volume 28(2), pages 138 - 166, Willey, May 2011. C. Chen, J. S. Dong, J. Sun and A. Martin. A Verification System for Interval-based Specification Languages, ACM Transactions on Software Engineering and Methodology (TOSEM). 19(4), pages 1 - 36, ACM. 2010. H. Liang, J. S. Dong, J. Sun and W. E. Wong. Software monitoring through formal specification animation , Innovations in Systems and Software Engineering, A NASA Journal. Volume 5, Issue 4, pages 231-241, Springer, December 2009. C. Chen, J. S. Dong and J. Sun. A Formal Framework for Modeling and Validating Simulink Diagrams. J. Sun, Y. Liu, J. S. Dong and J. Pang. PAT: Towards Flexible Verification under Fairness. The 21th International Conference on Computer Aided Verification (CAV 2009), Grenoble, France, June 2009. J. Sun, Y. Liu, A. Roychoudhury, S. Liu and J. S. Dong. Fair Model Checking with Process Counter Abstraction. The 16th International Symposium on Formal Methods (FM 2009). pages 123 - 139, Eindhoven, the Netherlands, November, 2009. J. S. Dong, P. Hao, S. C. Qin, J. Sun and Y. Wang, Timed Automata Patterns . IEEE Transactions on Software Engineering, vol. 34(6), pp 844-859, Nov./Dec. 2008. S. Ferndriger, A. Bernstein, J. S. Dong, Y. Z. Feng, Y. F. Li and J. Hunter. Enhancing Semantic Web Services with Inheritance , 7th International Semantic Web conference (ISWC'08), Karlsruhe, Germany, pp 162-177, 2008. N. N. Tun and J. S. Dong. Ontology Generation through a Fusion of Partial Reuse and Relation Extraction , 11th International Conference on Principles of Knowledge Representation and Reasoning (KR'08), pp 318-328, 2008. C. Chen, J. S. Dong and J. Sun. A Verification System for Timed Interval Calculus , The 30th International Conference on Software Engineering (ICSE'08), pp 271-280, 2008. K. Taguchi and J. S. Dong. Formally Specifying and Verifying Mobile Agents : Model Checking Mobility, International Journal of Agent-Oriented Software Engineering, vol2(4):449-474, 2008. H. Wang, J. S. Dong, J. Sun, T. Payne, N. Gibbins, Y. F. Li and J. Pan. An Integrated Formal Approach to Semantic Work Environments Design . Chapter in Book: Emerging Technologies for Semantic Work Environments: Techniques, Methods, and Applications, 2008. C. Chen, J. S. Dong and J. Sun. A Machine-Assisted Proof Support for Validation Beyond Simulink , 9th International Conference on Formal Engineering Methods (ICFEM 2007), Florida, 2007. J. S. Dong, Y. Feng and H-F. Leung, A Verification Framework for Agent Knowledge. ICFEM 2007: 57-75 J. Sun and J. S. Dong, Design Synthesis from Interaction and State-based Specifications. IEEE Transactions on Software Engineering, Vol-32(6):349-364, 2006 H. Wang, J. S. Dong, J. Sun and J. Sun. Reasoning Support for Semantic Web Ontology Family Languages Using Alloy. International Journal of Multiagent and Grid Systems, IOS press, Vol-2(4):455-471, 2006. L. Yuan, J. S. Dong, J. Sun and H. A. Basit. Generic Fault Tolerant Software Architecture Reasoning and Customization. IEEE Transactions on Reliability. Vol-55(3):421-435, 2006 J. Sun, J. S. Dong, S. Jarzabek and H. Wang. CAD System Family Architecture and Verification: An Integrated Formal Approach. IEE Proceedings Software. Vol-153(3):102-112, 2006. J. S. Dong, P. Hao, X. Zhang, and S. Qin, HighSpec: a Tool for Building and Checking OZTA Models. 28th International Conference on Software Engineering (ICSE'06). 2006. D. Lucanu, Y.F. Li, J.S. Dong: Semantic Web Languages - Towards an Institutional Perspective. Essays Dedicated to Joseph A. Goguen, LNCS Springer, 2006: 99-123 H. Liang, J. S. Dong, J. Sun, R. Duke, R. E. Seviora: Formal Specification-based Online Monitoring. ICECCS 2006: 152-162 J. S. Dong, Y. Liu, J. Sun, X. Zhang: Verification of Computation Orchestration Via Timed Automata. ICFEM 2006: 226-245 J. S. Dong, P. Hao, J. Sun, X. Zhang: A Reasoning Method for Timed CSP Based on Constraint Solving. ICFEM 2006: 342-359 C. Chen, J. S. Dong: Applying Timed Interval Calculus to Simulink Diagrams. ICFEM 2006: 74-93 J. S. Dong: From semantic web to expressive software specifications: a modeling languages spectrum. ICSE 2006: 1063-1064 J. Sun and J. S. Dong, Synthesis of Distributed Processes from Scenario-based Specifications. Formal Methods 2005 (FM'05), LNCS, pp 415-431, Newcastle, UK. 2005. J.S. Dong and P. Hao and B. Mahony, Formal Designs for Embedded and Hybrid Systems. International Journal on Software Engineering and Knowledge Engineering, vol 15(2): 373-378, 2005 J. Sun and J. S. Dong, Extracting FSMs from Object-Z Specifications with History Invariants . The 10th International Conference on Engineering of Complex Computer Systems (ICECCS'05),pp 96-105, 2005. J. S. Dong, R. Duke and P. Hao, Integrating Object-Z with Timed Automata . ICECCS'05:488-497, 2005. ( pdf ) J. Sun and J. S. Dong, Model Checking Live Sequence Charts . ICECCS'05:529-538, 2005. J. S. Dong, P. Hao, S. Qin, J. Sun and Y. Wang, Timed Patterns: TCOZ to Timed Automata . The 6th International Conference on Formal Engineering Methods (ICFEM'04), editors: J. Davies, W. Schulte and M. Barnett, LNCS, pp 483-498, Seattle. 2004. X. Wang, D. Zhang, J. S. Dong, C. Chin and S. Hettiarachchi. Semantic Space: A Semantic Web Infrastructure for Smart Spaces. IEEE Pervasive Computing, 3(3):32-39, July-September 2004. ( pdf ) J. S. Dong, C. Lee, H. Lee, Y. F. Li and H. Wang. A Combined Approach to Checking Web Ontologies. 13th ACM International World Wide Web Conference (WWW'04), refereed track, ACM Press, pages 714-722, NYC, USA, 2004. ( pdf ) J. S. Dong, C. Lee, Y. F. Li and H. Wang, Verifying DAML+OIL and Beyond in Z/EVES. The 26th International Conference on Software Engineering (ICSE'04), ACM/IEEE Press, pp 201-210, Edinburgh, 2004. J. S. Dong. Software Modeling Techniques and the Semantic Web. The 26th International Conference on Software Engineering (ICSE'04), ACM/IEEE Press, Edinburgh, Scotland, 2004. (tutorial, slides in ps.Z (compressed ps file) or pdf ) J. S. Dong, S. C. Qin and J. Sun. Generating Message Sequence Charts from an Integrated Formal Specification Language The 4th International Conference on Integrated Formal Methods, editors: E. Bioten, J. Derrick and G. Smith, LNCS, Springer-Verlag, pp 168-186, Canterbury, UK, 2004. K. Taguchi, J. S. Dong and G. Ciobanu. Relating Pi-calculus to Object-Z. The 9th IEEE International Conference on Engineering Complex Computer Systems (ICECCS'04), editors: P. Bellini, S. Bohner and B. Steffen, IEEE Press, pp 97-106, Florence, Italy, 2004. J. S. Dong, J. Sun and H. Wang. Checking and Reasoning about Semantic Web through Alloy. 12th International Symposium on Formal Methods Europe (FM'03). editors: K. Araki, S. Gnesi and D. Mandrioli, LNCS, pages 796-813, Springer-Verlag, Pisa, Italy, 2003. S. Qin, J. S. Dong and W. N. Chin. A Semantic Foundation of TCOZ in Unifying Theory of Programming. FM'03. LNCS, pages 321-340, 2003. M. Utting, I, Toyn, J. Sun, A. Martin, J. S. Dong, N. Daley and D. Currie. ZML: XML Support for Standard Z. 3rd International Conference of Z and B Users (ZB'03), LNCS, Springer-Verlag, pages 437-456, Turku, Finland, 2003. B. Mahony and J.S. Dong. Deep Semantic Links of TCSP and Object-Z: TCOZ Approach . Formal Aspects of Computing journal, 13:142-160, Springer, 2002. J. Sun and J. S. Dong. Specifying and Reasoning about Generic Architecture in TCOZ. 9th Asia-Pacific Software Engineering Conference (APSEC'02), IEEE Press, pages 405-414, Gold Coast, Australia, 2002. J. Sun, J. S. Dong, J. Liu and H. Wang. A Formal Object Approach to the Design of ZML. Annals of Software Engineering: An international journal, 13:329-356, Kluwer Academic Publishers, 2002. J. S. Dong, J. Sun and H. Wang . Z Approach to Semantic Web. International Conference on Formal Engineering Methods (ICFEM'02), LNCS, Springer-Verlag, pages 156-167, Shanghai, 2002. (pdf) J. S. Dong, Y. F. Li, J. Sun, J. Sun and H. Wang. XML-based static type checking and dynamic visualization for TCOZ. ICFEM'02, pages 311-322, 2002. (pdf) K. Taguchi and J. S. Dong. An Overview of Mobile Object-Z. ICFEM'02. pages 144-155, 2002. J. S. Dong, J. Sun and H. Wang. Semantic Web for Extending and Linking Formalisms. Formal Methods Europe (FME'02 - FLoC), LNCS, Springer-Verlag, pages 587-606, Copenhagen, 2002. (pdf) J. Sun, J. S. Dong, J. Liu and H. Wang. Object-Z Web Environment and Projections to UML. 10th ACM International World Wide Web Conference (WWW'01), refereed track, pages 725-734, ACM Press, HK, 2001. J. S. Dong, State, Event, Time and Diagram in System Modeling, 23th International Conference on Software Engineering (ICSE'01), pages 733-734, IEEE Press, Toronto, 2001. ( pdf , tutorial slides in pdf ) J. Liu, J.S. Dong, B. Mahony and K. Shi. Linking UML with Integrated Formal Techniques. chapter in Book: Unified Modeling Language: Systems Analysis, Design, and Development Issues (Editors: K. Siau and T. Halpin), pages 210-223, 2001. B. Mahony and J.S. Dong. Timed Communicating Object Z. IEEE Transactions on Software Engineering, 26(2):150-177, Feb 2000. (pdf) J. Liu, J.S. Dong and J. Sun. TRMCS in TCOZ. 10th IEEE International Workshop on S/W Spec & Design (IWSSD'00), IEEE Press, pages 63-72, San Diego, 2000 J.S. Dong, B. Mahony and N. Fulton. Capturing Periodic Concurrent Interactions of Mission Computer Tasks , The 6th Asia-Pacific Software Engineering Conference (APSEC'99), IEEE Press, pages 538-545, Takamatsu, Japan, 1999. B. Mahony and J.S. Dong. Sensors and Actuators in TCOZ . World Congress on Formal Methods (FM'99), editors: J. Wing, J. Woodcock and J. Davies. LNCS, Vol 1709, pages 1166-1185, Springer-Verlag, Toulouse, France, 1999. (pdf) J.S. Dong, B. Mahony and N. Fulton. Modeling Aircraft Mission Computer Task Rates , World Congress on Formal Methods (FM'99), 1999. J.S. Dong, S. Jarzabek and L. O'Brien. From an Object Semantic Model to a Design of Static Program Analyser. The 11th International Conference on Software Engineering and Knowledge Engineering (SEKE'99), pages 354-361, Kaiserslautern, Germany. 1999. (postscript) B. Mahony and J.S. Dong. Overview of the Semantics of TCOZ. Integrated Formal Methods (IFM'99), editors: K. Araki, A. Galloway and K. Taguchi, pages 66-85, Springer-Verlag, York, UK, 1999. (postscript) J.S. Dong and B. Mahony. Active Object in TCOZ . In Proceedings of the 1998 IEEE International Conference on Formal Engineering Methods (ICFEM'98), editors: J. Staples, M. Hinchey and S. Liu. IEEE Press, pages 16-25, Brisbane, Australia, 1998. (postscript) B. Mahony and J.S. Dong. Network Topology and a Case Study in TCOZ . In Proceedings of the 11th International Conference of Z Users (ZUM'98), editors: J. P. Bowen, A. Fett and M. G. Hinchey, LNCS:1493, pages 308-327, Springer-Verlag, Berlin, 1998. (postscript) B. Mahony and J.S. Dong. Blending Object-Z and Timed CSP: An introduction to TCOZ . In Proceedings of the 20th International Conference on Software Engineering (ICSE'98), editors: K. Futatsugi and R. Kemmerer and K. Torii, IEEE Press, pages 95-104, Kyoto, Japan, 1998. (postscript). J.S. Dong. Formal Methods Conference Looks for Practical Connections. IEEE Software 15(1), January/February, 1998 . J.S. Dong, N. Fulton, L. Zucconi and J. Colton. Formalising Process Scheduling Requirements for an Aircraft Operational Flight Program . In Proceedings of the IEEE International Conference on Formal Engineering Methods (ICFEM'97), editor: M. Hinchey and S. Liu, IEEE Press, Hiroshima, Japan, 1997. (postscript) J.S. Dong, R. Duke and G. Rose. An Object-Oriented Denotational Semantics of A (block-structured sequential) Programming Language . Object-Oriented Systems (OOS) journal 4(1):29-52, Chapman Hall, 1997. J.S. Dong, L. Zucconi and R. Duke. Specifying Parallel and Distributed Systems in Object-Z . In Proceedings of the 2nd IFIP International Workshop on Software Engineering for Parallel and Distributed Systems, Boston, USA, pages 140-149, IEEE Press, 1997. (postscript) J.S. Dong, J. Colton and L. Zucconi. A Formal Object Approach to Real-Time specification . In Proceedings of the 1996 Asia-Pacific Software Engineering Conference (APSEC'96). IEEE Press, Seoul, Korea, 1996. (postscript) J.S. Dong and R. Duke. A Formal Object Model of an Object-Oriented Programming Language . In Proceedings of the 20th International Conference on Technology of Object-Oriented Languages and Systems (TOOLS'USA96), Santa Barbara, USA, 1996. J.S. Dong and R. Duke. The Geometry of Object Containment . Object-Oriented Systems (OOS) journal 2(1):41-63, Chapman Hall, 1995. (pdf) J.S. Dong. Living with Free Type and Class Union . In Proceedings of the 1995 Asia-Pacific Software Engineering Conference (APSEC'95), pages 304-312, IEEE Press, Brisbane, Australia, 1995. (postscript) J.S. Dong, G. Rose and R. Duke. The Role of Secondary Attributes in Formal Object Modelling . In Proceedings of the First IEEE International Conference on Engineering Complex Computer Systems (ICECCS'95). pages 31--38, Ft. Lauderdale, USA, IEEE Press, 1995. (pdf) J.S. Dong and R. Duke. Exclusive Control within Object Oriented Systems . In Proceedings of the 18th International Conference on Technology of Object-Oriented Languages and Systems (TOOLS'Pacific95). Melbourne, Australia, pages 123-132, Prentice-Hall, 1995. (pdf) J.S. Dong and R. Duke. An Object-Oriented Approach to the Formal Specification of ODP Trader. In Open Distributed Processing, II, IFIP Transactions C: Communication Systems, C-20:341-352, North-Holland, 1994. (postscript) J.S. Dong, R. Duke and G. Rose. An Object-Oriented Approach to the Semantics of Programming Languages , Australian Computer Science Communications, 16(1):767-775, 1994. (postscript) J.S. Dong and R. Duke. Class Union and Polymorphism . In Proceedings of the 12th International Conference on Technology of Object-Oriented Languages and Systems, pages 181-190, Prentice-Hall, 1993. (postscript) PhD Thesis J.S. Dong Formal Object Modelling Techniques and Denotational Semantics Studies . Computer Science Department, The University of Queensland, October 1995. thesis info , (postscript) Keynote/Invited-Talk/Tutorial...: J. S. Dong, Keynote: Event-Strategy Analytics, 9th International Symposium on Theoretical Aspects of Software Engineering (TASE'15), September 12-14, 2015, Nanjing, China J. S. Dong, Invited Talk: Event Analytics, 11th International Colloquium on Theoretical Aspects of Computing, 17-20 Sep 2014, Bucharest, Romania. J. S. Dong, Tutorial: Pervasive Model Checking: PAT Approach, 11th International Colloquium on Theoretical Aspects of Computing, 17 Sep 2014, Bucharest, Romania. J. S. Dong, Invited Talk: Pervasive Model Checking and Event Analytics, Second International Seminar on Program Verification, Automated Debugging and Symbolic Computation, Beijing, Oct 23-25, 2013 J. S. Dong, J. Sun and Y. Liu. Tutorial: Build Your Own Model Checker in One Month. 35th International Conference on Software Engineering (ICSE 2013), San Francisco, USA, May 18, 2013 J. S. Dong, Invited Talk: Pervasive Model Checking, MSR Verified Software Workshop and Summer School (Co-Chairs: Tony Hoare and Jifeng He), Shanghai, July 2012. J. S. Dong, J. Sun and Y. Liu. Tutorial: Build Your Own Model Checker in One Month. The 17th International Symposium on Formal Methods (FM 2011), Limerick, Ireland, June 20, 2011. J. S. Dong, Invited Talk: Expressive Design Techniques and Pervasive Model Checking , GRACE International symposium on Advanced Software Engineering, NII, Tokyo, Japan. March 2010. J. S. Dong and J. Sun. Invited Tutorial: Towards Expressive Specification and Efficient Model Checking , 3rd IEEE International Symposium on Theoretical Aspects of Software Engineering, Tianjin, China. July 2009. J. S. Dong, Invited Talk: A Spectrum of Modeling languages and Transformations. The Fourth Workshop on Programmable Structured Documents, University of Tokyo, Japan, Dec 2005. J. S. Dong, Half-Day Tutorial: Modeling Languages Spectrum: From Web Ontology to Behaviour Specifications , Formal Methods 2005 (FM'05), University of Newcastle upon Tyne, UK. July 2005. J. S. Dong, Half-Day Tutorial: Software Engineering Approach to Semantic Web. 10th IEEE International Conference on Engineering of Complex Computer Systems (ICECCS'05), Shanghai, China. June 2005. Slides in pdf J. S. Dong, Invited Talk: Formal Designs for Embedded and Hybrid Systems, International Conference on Embedded and Hybrid Systems (IEHSC), Singapore, May 2005. J. S. Dong, Keynote: Semantic Web in Action - Modeling and Verification, 4th International Conference on Internet Information Retrieval (ICIIR'04), Nov, Seoul, Korea, 2004. J. S. Dong. Full-Day Tutorial: Software Modeling Techniques and the Semantic Web. The 26th International Conference on Software Engineering (ICSE'04), ACM/IEEE Press, Edinburgh, Scotland, 2004. (slides in ps.Z (compressed ps file) or pdf ) J. S. Dong, Half-Day Tutorial: Semantic Web and Formal Methods. 12th International Symposium on Formal Methods Europe (FM'03). Pisa, Italy, 2003. Slides in ( ps or ( pdf ) J.S. Dong, Full-Day Tutorial: Integrated Formal Modeling Techniques and UML , 23rd International Conference on Software Engineering (ICSE'01), Toronto, Canada, 2001. ( slides with solutions in pdf ) J.S. Dong Half-Day Tutorial: Timed Multi-Threaded Formal Object Modeling Techniques , 6th IEEE International Conference on Engineering of Complex Computer Systems (ICECCS'00) Tokyo, Japan. 2000 PhD/MSc Students Current BAI Guangdong (PhD, supported by NGS) CHEN Manman (PhD, supported by SoC/NUS) GUI Lin (PhD, supported by NGS) LI Li (PhD, supported by SoC/NUS) LIU Yan (PhD, supported by MOE T2 project) NGUYEN Truong Khanh (PhD, supported by MOE T2 project) SHI Ling (PhD, supported by SoC/NUS) Completed/Submitted SUN, Jing (PhD 2003, won Dean's Graduate Award and President's Graduate Fellowship, -> Associate Professor with tenure at The University of Auckland, NZ) WANG, Hai (PhD 2004, won Dean's Graduate Award, -> Lecturer at Aston University, UK) SUN, Jun (PhD 2006, won Dean's Graduate Award, -> Lee Kuan Yew Postdoctoral Fellow -> Associate Professor with tenure at Singapore University of Technology and Design ) LI, Yuanfang (PhD 2006, won Dean's Graduate Award, President's Graduate Fellowship and Singapore Millennium Foundation PhD Scholarship , -> Lecturer at Monash University, Australia HAO, Ping (PhD 2008, -> Tech Lead, Prudential Service Singapore) YUAN, Ling (PhD 2008, -> Associate Professor at Huazhong University of Science and Technology, China) LIANG, Hui (PhD 2008, won IDA Fellowship, -> Postdoc at University of Texas at Dallas) CHEN Chunqing (PhD 2009, won Dean's Graduate Research Excellence Award, -> Researcher at HP Research Lab, Singapore) LIU, Yang (PhD 2010, won Microsoft Asia Research Fellowship and Dean's Graduate Research Excellence Award, -> Temasek Research Fellow at Tlab -> Assistant Professor at Nanyang Technological University) FENG Yuzhang (PhD 2011, -> Research Scientist, A*STAR I2R, Singapore) ZHANG, Xian (PhD 2012, Postdoc at I2R-NUS Research Project) ZHANG Shaojie (PhD 2013, -> Postdoc at SUTD) ZHENG Manchun (PhD 2013, -> Postdoc at University of Delaware) SONG SongZheng (PhD 2013, -> Research Fellow at NTU) TAN Tian Huat LIU Yan (PhD 2014, -> Postdoc at Tlab-NUS) GUI Lin (PhD 2014, -> Research Scientist, HP Lab Singapore) SHI Ling (PhD 2014, -> Postdoc at NUS) NGUYEN Truong Khanh (PhD 2014, -> Postdoc at SUTD) LUU Anh Tuan (MSc, -> Researcher at NTU) WANG, Xiaohang (MSc, co-advisor, -> Google (New York City Lab)) Huang, Xiaoning (MSc) TANG, Yue Linda (MSc) WANG, Yan (MSc) LIU, Jing (MSc) ONG, Wai Chun West Jean (MSc, co-advisor) TEH, Hsin Yee (MSc, co-advisor) here Useful things to know about PhD research: Oxford University Computing Lab (preparation in pdf) , H.T. Kung Harvard University M. Bellare, UCSD Note: I am currently interested in taking new PhD students. Contact me only if you are very interested in formal methods and are exceptionally strong in discrete maths and logic. If you are one of the top students from a very good university, there is an excellent phd scholarship at NGS. Computer Science Department School of Computing diff --git a/src/data/compiled_bios/1387.txt b/src/data/compiled_bios/1387.txt new file mode 100644 index 0000000000..e85db07bf0 --- /dev/null +++ b/src/data/compiled_bios/1387.txt @@ -0,0 +1 @@ + Seth Gilbert Department of Computer Science National University of Singapore Home Projects Publications CV Research Interests My research focuses on algorithms for highly dynamic, distributed environments, such as mobile ad hoc networks, wireless sensor networks, and peer-to-peer systems. More generally, I am interested in the challenges created by concurrency, particularly when combined with unreliable communication and faulty components. I am particularly interested in problems that arise in wireless networks. Today, we are entering the age of open airwaves. Every day, a plethora of new wireless applications are being developed to facilitate communication and to help people in their everyday lives. These applications rely on the open airwaves, on the unlicensed bands of spectrum, to accomplish their work. Yet the fact that the airwaves are open to all poses its own set of challenges that risk derailing the wireless revolution. First, the rapid growth of competing applications is leading to a crowding of the airwaves, creating inadvertent interference among users. Second, the open and shared spectrum verily invites malcontents and attackers that may wish to disrupt applications and corrupt data. As of today, these issues significantly complicate the development of new wireless applications, retarding growth in this exciting area. One goal of my research has been to develop tools and techniques that address these challenges. I am also interested in more general questions of algorithmic efficiency that arise in dynamic, fault-prone distributed systems. For example, consider a set of devices that need to agree on some decision; what is the absolute minimum amount of communication needed to reach agreement? Similar questions of communication efficiency arise in multicast networks and publish-subscribe systems. In large multi-processor machines, communication typically occurs via shared memory, yet similar questions of efficiency arise. I hope to develop efficient algorithms for solving these types of problems, while exploring the fundamental limits of communication complexity. Mini Biography I am currently an assistant professor in the Department of Computer Science at the National University of Singapore. I was born and grew up in Washington D.C., where I went to the Maret School . After high school, I attended Yale University where I majored in Electrical Engineering and Math . In college, I spent several years building a solar car (which we raced in SunRayce97 ), and working at the Yale Dramat . After graduating from Yale, I worked for Microsoft as a software developer. I was a member of the Visual Studio.Net team, responsible for developing new team collaboration tools, such as an integrated (and improved) source control system. After two years at Microsoft, I moved back to the east coast, where I spent six years at MIT in the Theory of Distributed Systems group, which was headed by Nancy Lynch. After getting my PhD, I moved to Switzerland, where I spent three years as a postdoctoral researcher in the Laboratory for Distributed Programming , working with Rachid Guerraoui. I have just recently moved to Singapore, where I have been enjoying the wonderful warm weather and the excellent food. E-mail: seth dot gilbert at comp dot nus dot edu dot sg Office: COM2-3-23 Phone: +65-6516-2729 diff --git a/src/data/compiled_bios/1388.txt b/src/data/compiled_bios/1388.txt new file mode 100644 index 0000000000..df99de9037 --- /dev/null +++ b/src/data/compiled_bios/1388.txt @@ -0,0 +1 @@ + NUS Computing Current UG MySoC Email Student Staff Alumni Sidebar Main Menu About Programmes Student Life Research Entrepreneurship Industry Quicklinks Current UG MySoC Email Student Staff Alumni About Departments Industry Advisory Committee Management Faculty & Staff Directory Faculty Photo Directory Admin Photo Directory Expert Directory News Corporate Relations Giving Careers Contact Us Programmes Undergraduate Computer Science Information Systems Computer Engineering Business Analytics Information Security Special Programmes Double Major Minors Resources for Current Students Graduate PhD in Computer Science PhD in Information Systems MSc+PhD (by Research) Master's in Computer Science Master's in Information Systems Master's in Infocomm Security Master's in Artificial Intelligence Master's in Business Analytics Graduate Certificates Graduate Certificate in Computing Foundations Part-time & Executive Education Bachelor of Technology Advanced Computing for Executives Student Life About Us Internships Student Leadership Programme Financial Support/Assistance Student Wellness and Wellbeing Career Services Professional Workshop Student Clubs/Interest Groups Contact Us Research Research Centres Research Areas Entrepreneurship Leadership The Furnace Alumni Companies Funding Opportunities Awards Innovation Research Centres News & Events Contact Us Industry Corporate Relations Contact Us Search ... Home Dept. of Computer Science Biography Guo Charng Rang GUO Charng Rang Associate Professor (Practice) Program Director, National Cybersecurity Research & Development Lab (NCL) D.Phil. (University of Oxford) COM1-03-03 651 62803 Research Areas Security Research Interests Applied Cybersecurity Privacy Cryptography Profile Guo Charng Rang is an Associate Professor at the School of Computing at the National University of Singapore and the Programme Director of the National Cybersecurity R&D; Lab (NCL). NCL is a national lab funded by the National Research Foundation hosted in NUS School of Computing. The objective is to support the Singapore cybersecurity community in R&D; and education. To this end, NCL runs a cluster of more than 200 computing machines and provides cloud services and other higher level services to the community. In particular, NCL develops simulated enterprise network with vulnerabilities that has a wide range of applications, such as usage by education institutes to conduct cybersecurity lessons. The lab was officially launched in Feb 2015, and has supported more than 70 projects from academia, industries and government agencies and achieved full utilization after around a year. Almost all the universities and a number of polytechnics in Singapore are involved in the NCL initiatives, conducting lessons, performing research, or collaborating in other projects. A/Prof Guo oversees the development and operation of NCL, while the other two faculty members in NUS SoC, A/Prof Chang Ee-Chien and A/Prof Liang Zhenkai, oversee the research aspects of the lab. Prior to joining NUS, A/Prof Guo works in DSO National Laboratories and Defence Science and Technology Agency for more than 20 years, specializing in cybersecurity, in particular, in cryptography and trusted system. Current Projects National Cybersecurity R&D; Lab Selected Publications On Solvability of Ternary Quadratic Forms, Proceedings of London Mathematics Society, 70(1995) 241 - 263 On the Zeros of the Derivative of the Riemann Zeta Function , Proceedings of the London Mathematics Society, 72(1996) 28 - 62 The Distribution of the logarithmic derivatives of the Riemann Zeta Function , Proceedings of the London Mathematics Society, 72(1996) 1 - 27 On the Zeros of z (s) and z (s) , Journal of Number Theory, Vol 54, Issues 2, 206 210. Analysis of RFID Mutual Authentication Protocols, IEEE Wireless Communications and Networking Conference, 2009. Awards & Honours Teaching (2018/2019) JavaScript is currently disabled. Please enable it for a better experience of Jumi . Undergraduate Programmes Computer Science Information Systems Computer Engineering Business Analytics Information Security Special Programmes Undergraduate Brochure Admissions Undergraduate Graduate Financial Aid Graduate Programmes PhD in Computer Science PhD in Information Systems Master's in Computer Science Master's in Information Systems Master's in Infocomm Security Master's in Artificial Intelligence Master's in Business Analytics Graduate Certificates Graduate Certificate in Computing Foundations Part-time & Executive Education Bachelor of Technology Advanced Computing for Executives Organisation About Dept. of Computer Science Dept. of Information Systems and Analytics Industry Advisory Committee Management Faculty & Staff Directory Faculty Photo Directory Admin Photo Directory Expert Directory News Corporate Relations Giving Careers Resources MySoC Email Student Staff Events Calendar IVLE Library Alumni Facilities & Services Student Jobs NUS School of Computing Computing 1 13 Computing Drive Singapore 117417 +65 6516 2727 Contact Us Directions Organisation About Dept. of Computer Science Dept. of Information System and Analytics Industry Advisory Committee Management Staff Directory Faculty Photo Directory Admin Photo Directory News Corporate Relations Giving Careers Resources MySoC Email Student Staff Events Calendar IVLE Library Alumni Facilities & Services Student Jobs IMIN National University of Singapore . All Rights Reserved. Legal Branding guidelines Contact us JavaScript is currently disabled. Please enable it for a better experience of Jumi . diff --git a/src/data/compiled_bios/1389.txt b/src/data/compiled_bios/1389.txt new file mode 100644 index 0000000000..bafb861e44 --- /dev/null +++ b/src/data/compiled_bios/1389.txt @@ -0,0 +1 @@ + CS2040 CS2040C CS3233 CS4234 Steven @ NUS Welcome to my personal website that contains my works that are related to School of Computing (SoC) , National University of Singapore (NUS) . This website is titled 'World of Seven (7)' because . I am a senior lecturer in Department of Computer Science , SoC, NUS where I teach a diverse range (so far 5 big categories) of programming or algorithm modules, i.e.: 'Basic' Data Structures and Algorithm Courses: CS2040 and CS2040C (and its older variants: CS1020E , CS2010 , CS2020 ), My 'Special' Competitive Programming Course: CS3233 , Advanced Algorithm Courses: CS3230 , CS4234 . Basic Programming Methodology Courses: IT1005 (equivalent module: IT1006 and CG1101 ), CS1281 , CS2281 currently inactive, Web Programming Course: CS3226 (previously CP3101B) currently inactive, Apparently my students like to be tortured with heavy and tedious modules of mine. I am a Resident Fellow in Block E (Eekers) of Sheares Hall , NUS. Recently, I was conferred the Commendation Medal (Pingat Kepujian) by the President of the Republic of Singapore on the occasion of the National Day Awards 2018 . Outside office, I also serve as a deacon at Gereja Presbyterian Bukit Batok (GPBB) (the Indonesian congregation of Bukit Batok Presbyterian Church ). Office Dr Steven Halim National University of Singapore, School of Computing 13 Computing Drive, Singapore 117417 Office address: Computing 2, Level 3, Room 37 (COM2-03-37) Office phone: (+65) 651 67361 Steven and Competitive Programming I coordinate a self-titled "Center of Competitive Programming in South East Asia" . My various roles are the head coach of NUS ICPC teams (2008-2014; 2017), the team leader for Singapore IOI teams (2009-present; minus 2014), the Regional Contest Director for ICPC Asia Singapore 2015, 2018 , and the future Deputy Chairman for the 32nd IOI 2020, Singapore . NUS ICPC teams have a few recent success in ICPC Asia Regional Contests (e.g. Champion in ICPC Jakarta 2013 , 2014 , 2015 , and 2017 ; Champion in ICPC Manila 2017 ; Champion in ICPC Nakhon Pathom 2018 and Yangon 2018 ) and in ICPC World Finals (e.g. Joint-19 out of 122 teams in ICPC World Finals 2014 at Ekaterinburg, Russia, Joint-28 out of 128 teams in ICPC World Finals 2015 at Marrakech, Morocco, the recent current best of Joint-14 out of 128 teams in ICPC World Finals 2016 at Phuket, Thailand , and Joint-20 out of 133 teams in ICPC World Finals 2017 at Rapid City, USA ). The visualization below shows the results of NUS best teams since 2009-present in ICPC Asia Regional Contests and in the ICPC World Finals of the following year. To help myself in monitoring the current team members of NUS ICPC teams . I put a table that show their past performances in IOI, ICPC, and/or my CS3233 course (if taken), NTSC 2016 (if any), NTSC 2017 (if any) performance, and combined with their recent CodeForces and Kattis online judges performance below. SH7 rating is currently defined as: Past performances in IOI, ICPC, and/or my CS3233 course (40%): 15% IOI (Gold/Silver/Bronze)/(any IMO/IPhO experience)/(any NOI experience)/(no past experience) is considered as having rating 2400/2200/2000/1800/1600/1400 in CF, respectively) + 15% ICPC ((World Finals 2x)/(World Finals)/(Virtual World Finals 2x)/(Virtual World Finals)/Regionals/(no experience) is considered as having rating 2600/2500/2400/2300/2200/1600 in CF, respectively) + 10% CS3233 (A+/A/A-/(not taken but in top 18)/B+ in CS3233 is considered as having rating 2400/2200/1900/1600/1400 in CF, respectively) + Dynamic (real-time) online judges performances: CF and Kattis (30%): 20% CF (if a student has no CF account, his/her default CF rating is 1200) + 10% Kattis (log(KattisPoints+1) / log(1400) * 2400, i.e. obtaining ~1400 points in Kattis (top 50 currently) is considered as having rating 2400 in CF). Recent NUS ICPC Selection Contest Result (30%), 2016 data (5%), 2017 data (10%), and 2018 (ACM Asia Singapore 2018 Preliminary Contest) data (15%). Singapore IOI teams also train in the same "Center of Competitive Programming in South East Asia", together with various IOI medalists and ICPC team members in NUS. With such synergy between ICPC and IOI activities in NUS, all 4 members of recent Singapore IOI teams usually bring home 4 medals. The best recent achievement (in Steven's era) is 2G (Feng Jiahai and Ranald Lam Yun Shao) and 1S (Mark Theng Kwang Hui) in 2014 . The most recent result is 1G (Gabriel Goh Kheng Lin), 2S (Jacob Teo Por Loong and Jeffrey Lee Chun Hean) and 1B (Teow Hua Jun) in 2018 . The visualization below shows the recent progress of Singapore IOI teams based on the sum of medal quality Q = 3*Gold + 2*Silver + 1*Bronze of SG IOI teams since 1992-present (Steven took over starting 2009). If you are interested, you can read this article to see the whereabouts of these Singapore IOI medalists today (accurrate as of year 2015 team). With my brother (Felix Halim), we wrote down our programming contest expertise into a relatively popular book about Competitive Programming (the most up-to-date edition as of Jun 2014 is currently CP3). You can buy the book via lulu.com or via myself directly if you reside in Singapore. I use Mooshak Online Judge and Kattis for various programming contest activities in SoC NUS. I also incorporated the spirit of 'competitive programming' (but in a weaker sense) for my other algorithm/programming modules. Programming competitions have enabled me to visit many places of the world in yearly basis. I am very grateful to God for this opportunity. VisuAlgo and Online Quiz -- Web-based Tool for Teaching Data Structures and Algorithms I significantly use various visualization and animation techniques that I have learned during PhD days for my current pedagogy research project: VisuAlgo . In this large-scale web-based project which is still actively developed, myself and a number of my students develop visualizations (animations) for a lot of well-known data structures and algorithms typically taught in Computer Science curriculum and beyond . A snapshot of the portal page of VisuAlgo is shown below. Not just that, our team is ambitious enough to design the Online Quiz component of VisuAlgo: Automated questions generator and answers verifier to aid students when they learn these data structures and algorithms. We generate data structures and algorithms questions using well-defined grammatical rules, but we randomize the data structure content, the underlying graph, and/or the operations to be performed. This way, the questions are always "fresh". Students can enter their answer in various input methods: Traditional MCQ style, selecting one vertex/edge, selecting a subset or a sequence of vertices/edges, enter a number in input box, and draw the answer graph . Students' answers are graded instantly and students will be able to get automatic feedback on their wrong answers by verifying the correct answers directly in VisuAlgo visualization. With this pedagogy tool, I want to provide my students (and also Computer Science students worldwide) with "a copy of myself" that are available 24/7 to guide their learning process. If you understand Bahasa Indonesia, you may want to read my Facebook note about https://visualgo.net/id, the VisuAlgo front page in Indonesian language . Methods to Solve -- Hints for Solving Thousands Programming Problems in UVa Online Judge In the past (2000-2009), I started and maintained 'Methods to Solve' - a collection of about nearly 2000 hints for doing problem solving in the famous UVa online judge . This page has been revamped from just static HTML to a dynamic webpage with newer Web Programming technologies, e.g. JavaScript, jQuery, Database. It is now 'sortable' (based on several sort keys) and 'searchable' (based on keywords). I have also added many Kattis online judge hints too. Steven's Past Research Works During PhD Days I have completed my PhD degree but now no longer active in the field that gave me my PhD. My PhD research was to investigate human-computer collaboration (in form of FLST visualization plus automated black-box tuning) to address Stochastic Local Search `Design and Tuning Problem' (SLS DTP). Between year 2003-2008, I had authored and co-authored several scientific articles on international journals and conferences around this topic. This SLS DTP is a high level problem suffered by the algorithm designer while they try to create a good performing SLS algorithms (a.k.a. metaheuristics) for attacking the underlying NP-Complete Combinatorial (Optimization) Problems. I have designed an SLS engineering suite Viz that incorporates my ideas above to help me address this SLS DTP. Steven's Policy About Recommendation Letter I have received far too many requests to write recommendation letters from past/current students for various reasons (job application, graduate school application, student exchange application, etc). To maintain my sanity, I will only allow the following groups of students to request for such recommendation letter: Students who have worked for me for more than one semester in the past, e.g. have taken 2 of my modules, have taken 1 of my module and became part-time TA of that module, my part-time TA for more than 1 semester, or my FYP/UROP students. Those students have good working relationship with me, e.g. at least A- in FYP/UROP/my modules, scored 4.1 in teaching feedback rating for part-time TAs. Maximum 3 recommendation letters per eligible student, e.g. you cannot spam various schools for graduate study, you cannot ask me to be interviewed by dozen of prospective companies. I am sorry in advance that I will simply reject the requests from all other students starting from Tuesday, 17 November 2015 onwards. Copyright Steven Halim 2000- 2014 Copyright Steven Halim 2000- 2014 (click again to collapse details) It worth hundreds of working hours (since July 2000) to create this website as it is now. Thus, do not copy anything from this website, modify it, and then re-publish it again without telling me. You need ask permission first! I use materials and services that are either free or I have obtained permission such as School of Computing web hosting, server, free pictures, etc. However, if you find anything that is 'illegal' in my website, please inform me . I will remove them as soon as possible from my website. This document, index.html , has been accessed 167337 times since 17-Jun-14 01:18:18 SGT. This is the 76th time it has been accessed today. A total of 88601 different hosts have accessed this document in the last 1709 days; your host, irg-138.ip.ctc.biz , has accessed it 16 times. If you're interested, complete statistics for this document are also available, including breakdowns by top-level domain, host name, and date. diff --git a/src/data/compiled_bios/139.txt b/src/data/compiled_bios/139.txt new file mode 100644 index 0000000000..a8e060dd93 --- /dev/null +++ b/src/data/compiled_bios/139.txt @@ -0,0 +1 @@ + ABOUT NEWS PEOPLE PROJECTS PUBLICATIONS CONTACT Bhringer Lab microelectromechanical systems research Recent Highlights: Aquapel: Self Cleaning Solar Panels Start to Shine Experts hack away at portable DNA barcode scanner to fight timber and wildlife trafficking Eighth annual EIC wraps up with a bang Sponsors: diff --git a/src/data/compiled_bios/1390.txt b/src/data/compiled_bios/1390.txt new file mode 100644 index 0000000000..2e2d8ee89a --- /dev/null +++ b/src/data/compiled_bios/1390.txt @@ -0,0 +1 @@ + Home About Me SENSG @NUS News C.V. Publications Honors and Awards Teaching Professional Services Jun Han Assistant Professor Department of Computer Science National University of Singapore (NUS) Email: junhan@comp.nus.edu.sg Office: COM1 #03-05 Phone: (+65) 6601 7524 Address: 13 Computing Drive, COM1-03-05, Singapore, 117417 Curriculum Vitae Looking for motivated students! I am hiring new Ph.D. students , graduate/undergraduate interns , and post-doctoral researchers . I am looking for motivated and passionate students to work on exciting research projects! Please contact me if you are interested. About Me I am an assistant professor in the Department of Computer Science , School of Computing at the National University of Singapore . My research interests are in the intersection of sensing systems and security , and focus on utilizing contextual information for security applications in the Internet-of-Things (IoT) and Cyber-Physical Systems (CPS) . Specifically, my research focuses on enabling cross-platform devices (dissimilar in hardware, vendor, and/or sensor types) to verify relative physical properties and subsequently coordinate across verified devices, hence enabling novel methods of sensor fusion for new security applications. I obtained my Ph.D. in Electrical and Computer Engineering at Carnegie Mellon University under the supervision of Professor Patrick Tague in 2018. I was a member of CMU's Mobile, Embedded, & Wireless Security (MEWS) group and CyLab . I received M.S. and B.S. degrees from the ECE Department at CMU in 2007 and 2006, respectively. S ensing, E mbedded, and N etwork S ecurity G roup ( SENSG) SENSG (pronounced as "sensing") at NUS is directed by Jun Han . The group focuses on various aspects of sensing systems and security/privacy aspects of mobile, embedded, and wireless systems. The group also studies related issues in emerging technologies including drones, electric scooters, truck platooning and other vehicular applications, as well as other IoT and CPS. Ph.D. Students Soundarya Ramesh Christian August Reksten-Monsen Masters Students Wah Chun Ng Thomas Daniel Paul Pathier Madhan Vignesh Srinivasan Lionel Ee Siang Teo Former Member Smitha Sheshadri What's new? Feb 2019 : Carlos Ruiz and other researchers from CMU, in collaboration with Jun Han, will present a demo of their work "Demo Abstract: Secure Pairing via Video and IMU Verification" at Information Processing in Sensor Networks (IPSN 2019) . Dec 2018 : Our paper "Smart Home Occupant Identification via Sensor Fusion Across On-Object Devices" is now published in ACM Transactions on Sensor Networks (TOSN) Volume 14 Issues 3-4, Article No. 23, Dec. 2018. Sep 2018 : Reksten-Monsen Christian (CS Ph.D. student) joined our group. Welcome, Christian! Aug 2018 : Soundarya Ramesh (CS Ph.D. student) joined our group. Welcome, Soundarya! July 2018 : I joined the Computer Science Department at the National University of Singapore as an Assistant Professor ( NUS News ). May 2018 : Our work presented at IEEE S&P (Oakland) was featured on multiple university websites including CyLab , ECE Department , and CMU SV website articles. May 2018 : I presented our work at IEEE S&P (Oakland) . The presentation video is available here . May 2018 : I successfully defended my Ph.D. disseration! Mar 2018 : CMU website posted an article about our recent award at ACM BuildSys 2017 . [ ... ] Feb 2018 : Our paper "Do You Feel What I Hear? Enabling Autonomous IoT Device Pairing using Different Sensor Types" is accepted and will appear at IEEE S&P (Oakland) 2018 . Dec 2017 : Our paper "UniverSense: IoT Device Pairing Using Heterogeneous Sensing Signals" has been accepted and will appear at ACM HotMobile 2018 .s Nov 2017 : Our paper "SenseTribute: Smart Home Occupant Identification via Fusion Across On-Object Sensing Devices" is awarded Audience Choice Award at ACM BuildSys 2017 . Publications Listed in reverse chronological order. You can also find my Google Scholar Profile . Journal, Conference, and Workshop Papers JUN HAN , Shijia Pan, Manal Kumar Sinha, Hae Young Noh, Pei Zhang and Patrick Tague, "Smart Home Occupant Identification via Sensor Fusion Across On-Object Devices", ACM Transactions on Sensor Networks ( TOSN ), Volume 14 Issues 3-4, Article No. 23, Dec. 2018. [ paper ] JUN HAN , Albert Jin Chung, Manal Kumar Sinha, Madhumitha Harishankar, Shijia Pan, Hae Young Noh, Pei Zhang and Patrick Tague, "Do You Feel What I Hear? Enabling Autonomous IoT Device Pairing using Different Sensor Types", In Proceedings of the 39th IEEE Symposium on Security and Privacy ( Oakland 2018 ), San Francisco, CA, May. 2018. Acceptance Rate: 11.5% (64 of 549 / See submission and decision statistics ) [ abstract | paper | slides | video ] Shijia Pan, Carlos Ruiz, JUN HAN , Adeola Bannis, Patrick Tague, Hae Young Noh, and Pei Zhang, "UniverSense: IoT Device Pairing Using Heterogeneous Sensing Signals", In Proceedings of ACM International Workshop on Mobile Computing Systems and Applications ( HotMobile 2018 ), Tempe, AZ, Feb. 2018. Acceptance Rate: 29.2% (19 of 65) [ paper ] Xinlei Chen, Aveek Purohit, Shijia Pan, Carlos Ruiz, JUN HAN , Zheng Sun, Frank Mokaya, Patrick Tague and Pei Zhang, "Design Experiences in Minimalistic Flying Sensor Node Platform through SensorFly", ACM Transactions on Sensor Networks ( TOSN ), Volume 13 Issue 4, Article No. 33, Dec. 2017. [ paper ] JUN HAN , Shijia Pan, Manal Kumar Sinha, Hae Young Noh, Pei Zhang and Patrick Tague, "SenseTribute: Smart Home Occupant Identification via Fusion Across On-Object Sensing Devices", In Proceedings of ACM International Conference on Systems for Energy-Efficient Built Environments ( BuildSys 2017 ), Delft, The Netherlands, Nov. 2017. *AUDIENCE CHOICE AWARD* Acceptance Rate: 31.3% (30 of 96) [ paper ] JUN HAN , Albert Chung, and Patrick Tague, "PitchIn: Eavesdropping via Intelligible Speech Reconstruction using Non-Acoustic Sensor Fusion", In Proceedings of ACM/IEEE International Conference on Information Processing in Sensor Networks ( IPSN 2017 ), Pittsburgh, PA, Apr. 2017. Acceptance Rate: 18.3% (19 of 104) [ paper | slides | project website ] JUN HAN , Madhumitha Harishankar, Xiao Wang, Albert Jin Chung, and Patrick Tague, "Convoy: Physical Context Verification for Vehicle Platoon Admission", In Proceedings of ACM International Workshop on Mobile Computing Systems and Applications ( HotMobile 2017 ), Sonoma, CA, Feb. 2017. Acceptance Rate: 36% (18 of 50) [ paper ] Taeho Lee, Christos Pappas, Cristina Basescu, JUN HAN , Torsten Hoefler, Adrian Perrig, "Source-Based Path Selection: The Data Plane Perspective", In Proceedings of the 10th ACM Conference on Future Internet Technologies ( CFI 2015 ), Seoul, Korea, Jun. 2015. [ paper ] JUN HAN , Yue-Hsun Lin, Adrian Perrig, and Fan Bai, "MVSec: secure and easy-to-use pairing of mobile devices with vehicles (Short Paper)" In Proceedings of ACM conference on Security and Privacy in Wireless and Mobile Networks ( WiSec 2014 ), Oxford, United Kingdom, Jul. 2014. Acceptance Rate: 26% (25 of 96) [ paper ] Zongwei Zhou, JUN HAN , Yue-Hsun Lin, Adrian Perrig, and Virgil Gligor, "KISS: ''Key it Simple and Secure'' Corporate Key Management" In Proceedings of the 5th International Conference on Trust and Trustworthy Computing ( TRUST 2013 ), London, United Kingdom, Jun. 2013. Acceptance Rate: 20.5% (8 of 39) [ paper ] Tiffany Hyun-Jin Kim, Payas Gupta, JUN HAN , Emmanuel Owusu, Jason Hong, Adrian Perrig, and Debin Gao, "OTO: Online Trust Oracle for User-Centric Trust Establishment" In Proceedings of the 19th ACM Conference on Computer and Communications Security ( CCS 2012 ), Raleigh, NC, Oct. 2012. Acceptance Rate: 18.9% (80 of 423) [ paper ] Lorenzo Martignoni, Pongsin Poosankam, Matei Zaharia, JUN HAN , Stephen McCamant, Dawn Song, Vern Paxson, Adrian Perrig, Scott Shenker, Ion Stoica, "Cloud Terminal: Secure Access to Sensitive Applications from Untrusted Systems" In Proceedings of USENIX Annual Technical Conference ( USENIX ATC 2012 ), Boston, MA,, Jun. 2012. Acceptance Rate: 18.4% (43 of 234) [ paper ] Emmanuel Owusu, JUN HAN , Sauvik Das, Adrian Perrig, Joy Zhang, "ACCessory: Keystroke Inference using Accelerometers on Smartphones", In Proceedings of the ACM International Workshop on Mobile Computing Systems and Applications ( HotMobile 2012 ), San Diego, CA, Feb. 2012. Acceptance Rate: 20.6% (14 of 68) [ paper ] JUN HAN , Emmanuel Owusu, Thanh-Le Nguyen, Adrian Perrig, Joy Zhang, "ACComplice: Location Inference using Accelerometers on Smartphones", In Proceedings of the 4th International Conference on Communication Systems and Networks ( COMSNETS 2012 ), Bangalore, India. Jan. 2012. Acceptance Rate: 27.4% (46 of 168) [ paper | slides ] JUN HAN , Abhishek Jain, Mark Luk, Adrian Perrig, "Don't Sweat Your Privacy: Using Humidity to Detect Human Presence", In Proceedings of the 5th Workshop On UbiComp Privacy - Technologies, Users, Policy ( UbiPriv 2007 ), Innsbruck, Austria, Sep. 2007. [ paper ] Soundararajan Srinivasan, JUN HAN , Dhananjay Lal and Aca Gacic, "Towards automatic detection of falls using wireless sensors", In Proceedings of the 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society ( EMBC 2007 ), Lyon, France, Aug. 2007. [ paper ] Poster/Demo in Conference Proceedings JUN HAN , Madhumitha Harishankar, Xiao Wang, Albert Jin Chung, and Patrick Tague, "Convoy: Physical Context Verification for Vehicle Platoon Admission", In Proceedings of ACM International Workshop on Mobile Computing Systems and Applications ( HotMobile 2017 ), Sonoma, CA, Feb. 2017. *BEST POSTER RUNNER-UP AWARD* [ poster ] JUN HAN , Emmanuel Owusu, Thanh-Le Nguyen, Adrian Perrig, Joy Zhang, "ACComplice: Location Inference using Accelerometers on Smartphones" Intel Science & Technology Center for Secure Computing: Secure Computing Research for Users' Benefit ( SCRUB Summer Retreat 2012 ), Half Moon Bay, CA, May 2012. *BEST POSTER AWARD* [ poster ] JUN HAN , Jae Yoon Chong, Sukun Kim, "Demo Abstract: SNORES - Towards a Less Intrusive Home Sleep Monitoring System Using Wireless Sensor Networks" In Proceedings of ACM Conference on Embedded Networked Sensor Systems ( SenSys 2009 ), Berkeley, CA, Nov. 2009. [ poster | demo abstract ] Technical Report JUN HAN , Yue-Hsun Lin, Adrian Perrig, and Fan Bai, "MVSec: secure and easy-to-use pairing of mobile devices with vehicles" In CyLab Technical Report CMU-CyLab-14-006, [ paper ] Honors and Awards Audience Choice Award , Nov. 2017 - ACM Conference on Systems for Energy-Efficient Built Environments (BuildSys'17) Best Poster Runner-up Award , HotMobile,17 , Feb. 2017 - ACM Workshop on Mobile Computing Systems and Applications (HotMobile'17) NSF CPS Breakthrough $450,000 , (Assisted Dr. Patrick Tague), Sep. 2016 - "Multi-Sensory Event Detection for Cross-Platform Coordination and Verification" Ann and Martin McGuinn Graduate Fellowship , Aug. 2015 - May 2016 - Carnegie Institute of Technology, Carnegie Mellon University Best Poster Award , May 2012 - Summer Retreat, Intel Science & Technology Center for Secure Computing (ISTC): Secure Computing Research for User's Benefit (SCRUB) Frank J. Marshall Graduate Fellowship Aug. 2011 - May 2012 - Carnegie Institute of Technology, Carnegie Mellon University Dean's Scholarship , Aug. 2010 - May 2011 - Carnegie Institute of Technology, Carnegie Mellon University Dean's List , Aug. 2005 - May 2006 - Carnegie Institute of Technology, Carnegie Mellon University Teaching Spring 2019 CS6282: Topics in Computer Science: Internet-of-Things Security Friday 10am - noon @ SR_LT19 Professional Services Journal Reviewer ACM Transactions on Privacy and Security (TOPS) ACM Transactions on Sensor Networks (TOSN) ACM Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) ACM Transactions on Embedded Computing Systems (TECS) IEEE Transactions on Mobile Computing (TMC) IEEE Transactions on Multi-Scale Computing Systems (TMSCS) Journal of Computer and System Sciences (JCSS) Program Committee ACM Conference on Security and Privacy in Wireless and Mobile Networks (WiSec), 2019 (Extended Review Committee) ACM International Conference on Mobile Systems, Applications, and Services (MobiSys), 2019 ACM Workshop on the Internet of Safe Things (SafeThings), 2019 Ubicomp Workshop on Combining Physical and Data-Driven Knowledge in Ubiquitous Computing (CPD), 2018 (Poster/Demo PC) IEEE Vehicular Networking Conference (VNC), 2018 External Reviewer ACM Conference on Data and Application Security and Privacy (CODASPY), 2019 IEEE Conference on Communications and Network Security (CNS) , 2015 - 2016, 2018 IEEE Conference on Computer Communications (Infocom) , 2016 - 2017 ACM Asia Conference on Computer and Communications Security (AsiaCCS) , 2016 - 2017 ACM Conference on Security and Privacy in Wireless and Mobile Networks (WiSec) , 2015 - 2016 Annual Computer Security Applications Conference (ACSAC) , 2015 ACM Special Interest Group on Data Communication (SIGCOMM) , 2014 IEEE Conference on Sensing, Communication, and Networking (SECON) , 2013 - 2014 IEEE International Conference on Smart Homes and Health Telematics (iCOST) , 2011 Conference Organization Committee Poster/Demo Chair , ACM International Conference on Systems for Energy-Efficient Built Environments, Cities, and Transportation ( BuildSys ), 2019 Web Chair , ACM International Conference on Mobile Systems, Applications, and Services ( MobiSys ), 2019 Copyright 2018 Jun Han | Last updated: Jan. 2018 diff --git a/src/data/compiled_bios/1391.txt b/src/data/compiled_bios/1391.txt new file mode 100644 index 0000000000..a337fc426c --- /dev/null +++ b/src/data/compiled_bios/1391.txt @@ -0,0 +1 @@ + Toggle navigation Welcome to Bingsheng He's Homepage Home Xtra Computing Group Publications Projects Teaching Awards Join Xtra Department of Computer Science , School of Computing , National University of Singapore Office: COM2 Building, #03-21, 15 Computing Drive, NUS, Singapore 117418 [map] Ph.D. HKUST, 2008 Email: hebs(at)comp.nus.edu.sg Phone: (65) 6516 7998, Fax: (65) 6779 4580 Bio Dr. Bingsheng He is currently an Associate Professor at Department of Computer Science, National University of Singapore. Before joining NUS in May 2016, he held a research position in the System Research group of Microsoft Research Asia (2008-2010) and a faculty position in Nanyang Technological University, Singapore. He got the Bachelor degree in Shanghai Jiao Tong University (1999-2003), and the Ph.D. degree in Hong Kong University of Science & Technology (2003-2008). Bingsheng has served as a PC member for international conferences in databases (e.g.,ACM SIGMOD, VLDB, IEEE ICDE), cloud computing (e.g., ACM SoCC) and parallel and distributed systems (e.g., SC, HPDC and IPDPS), and as a demo co-Chair in VLDB 2017 , PC co-Chair in IEEE CloudCom 2014 / 2015 , HardBD2016 and IEEE BigData Congress 2018 . He has served in editor board of international journals, including IEEE Transactions on Cloud Computing ( IEEE TCC ), IEEE Transactions on Parallel and Distributed Systems ( IEEE TPDS ). His current research interests include Big data management systems (with special interests in cloud computing and emerging hardware systems), Parallel and distributed systems and Cloud Computing. His papers are published in prestigious international journals (such as ACM TODS and IEEE TKDE/TPDS/TC) and proceedings (such as ACM SIGMOD, VLDB/PVLDB, ACM/IEEE SuperComputing, ACM HPDC, and ACM SoCC). He is affiliated with both the Systems and Networking group and the Database group at NUS. He has been awarded with the IBM Ph.D. fellowship (2007-2008) and with NVIDIA Academic Partnership (2010-2011). He has got a number of paper awards and honorable mentions in international prestigious conferences and journals (see Awards ). Research Xtra Computing Group is a tiny group of students and researchers in Singapore, who have been building various computing systems. Xtra's mission is to build faster, greener and cheaper high performance systems. Bingsheng's ongoing system projects include: Medusa (2011-): It is the first system of its kind in Building GPU-based Parallel Sparse Graph Applications with Sequential C/C++ Code. Medusa offers a small set of user-dened APIs, and embraces a runtime system to automatically execute those APIs in parallel on the GPUs. We further develop a series of graph-centric optimizations based on the architecture features of GPU for efciency. Additionally, Medusa is extended to execute on multiple GPUs within a machine or a cluster. Our empirical studies demonstrate the programmability and efciency of Medusa for a series of common graph operations. See [TPDS13] [VLDB13BestDemo] OmniDB (2011-): Relational databases on emerging many-core architectures (including many-core CPUs, GPUs and APUs) Here are some highlights: a) OmniDB proposes a kernel-adapter based design, a portable yet efficient query processor on parallel CPU/GPU architectures [VLDB13Demo] . b) Two novel designs for taking advange of coupled CPU-GPU architectures (e.g., APUs) [VLDB2013] [VLDB2015] . c) GPL: a pipeline query execution engine [SIGMOD2016] . ReconfigDB (2013-): Hardware-software system design on OpenCL-based FPGAs The vision is to develop bionic parallel systems (e.g., database systems) with superb hardware speed (aka. bare-matal). To achieve this abitious goal, we need novel tools and systems. Example tools: we leverage static and dynamic analysis to develop an analytical performance model, which has captured the key architectural features of FPGA abstractions under OpenCL [HPCA16] . Example systems: databases [FPL2016], graph processing [ongoing]. more to add :) stay tuned. With the passion in system research, Bingsheng strongly believes in prototype implementation and empirical evaluation in addition to theoretical formalization and algorithmic design. As a result, his group and collaborators have developed a number of system prototypes (including Medusa , OmniDB, nanoCG, Mars and FD-tree ) that are often requested and used by other researchers. Bingsheng has been growing into a multidisciplinary researcher with exposure to different cultures, research domains and collaborations. His principle is 80-20 rule (80% of his research time is devoted into his main research interests, and the remaining is spent on some radical/non-mainstream research directions). These are some examples of his radical/non-mainstream projects. Green systems through integration of renewable energy (2012-): We have developed the first green database system with the integration of solar panels, which is particularly attractive for Singapore [CIDR2013] [IC2E2016 Best Paper Runner Up] . Green In-Memory Computing (2011-): Main memory is a signicant energy consumer which may contribute to over 40% of the total system power, and will become more signicant for server machines with more main memory. We propose hardware and software co-design approaches to reduce the energy consumption of DRAM systems [SC2012] [TC2015] [TC2016] . Database Systems on Approximate Hardware (2014-): Recently, approximate hardware designs have got many research interests in the computer architecture community. The essential idea of approximate hardware is that the hardware components such as CPU, memory and storage can trade off the accuracy of results for increased performance, reduced energy consumption, or both. We propose a DBMS ApproxiDB with its design, implementation and optimization aware of the underlying approximate hardware. ApproxiDB will run on a hybrid machine consisting of both approximate hardware and precise hardware (i.e., the conventional hardware without sacrificing the accuracy). More details are in our vision paper [VLDB2014] and our study on sorting algorithm [SIGMOD2016-sort] . More code, papers and documentations can be found at Xtra group web site . Tweets by @savenhe News!!! Zeyi Wen^, Bingsheng He, Ramamohanarao Kotagiri, Shengliang Lu*, Jiashuai Shi*. Efficient Gradient Boosted Decision Tree Training on GPUs. IEEE IPDPS 2018: IEEE International Parallel & Distributed Processing Symposium. Zeyi Wen^, Xingyang Liu*, Hongjian Cao*, Bingsheng He. RTSI: An Index Structure for Multi-Modal Real-Time Search on Live Audio Streaming Services. ICDE 2018: IEEE International Conference on Data Engineering (ICDE), 2018 (industrial and application track). Zeke Wang^, Kai Zhang^, Haihang Zhou*, Bingsheng He. Hebe: An Order-obliviousness and High-performance Execution Scheme for Conjunctive Predicates. ICDE 2018: IEEE International Conference on Data Engineering (ICDE), 2018 (short paper). Kai Zhang^, Bingsheng He, Jiayu Hu, Zeke Wang^, Bei Hua, Jiayi Meng, and Lishan Yang. G-NET: Effective GPU Sharing in NFV Systems. USENIX NSDI: USENIX Symposium on Networked Systems Design and Implementation 2018. Amelie Chi Zhou*, Yifan Gong*, Bingsheng He and Jidong Zhai. Efficient Process Mapping in Geo-Distributed Cloud Data Centers . SC17: International Conference for High Performance Computing, Networking, Storage and Analysis 2017. Xuntao Cheng*, Bingsheng He, Xiaoli Du* and Chiew Tong Lau. A Study of Main-Memory Hash Joins on Many-core Processor: A Case with Intel Knights Landing Architecture . CIKM: ACM International Conference on Information and Knowledge Management 2017, Singapore (171/820=21%). I will give an invited talk Data Management Systems on Future Hardware: Challenges and Opportunities. in Joint Active and HardDB Workshops in ICDE 2017. Amelie Chi Zhou*, Shadi Ibrahim, Bingsheng He On Achieving Efficient Data Transfer for Graph Processing in Geo-Distributed Datacenters . ICDCS 2017: International Conference on Distributed Computing Systems (Experience and Application Track). Kai Zhang^, Jiayu Hu, Bingsheng He, Bei Hua. DIDO: Dynamic Pipelines for In-Memory Key-Value Stores on Coupled CPU-GPU Architectures . ICDE 2017: IEEE International Conference on Data Engineering (ICDE), 2017. Shuhao Zhang*, Bingsheng He, Daniel Dahlmeier, Chi Zhou and Thomas Heinze. Revisiting the Design of Data Stream Processing Systems on Multi-Core Processors . ICDE 2017: IEEE International Conference on Data Engineering (ICDE), 2017. Shuhao Zhang*, Hoang Tam Vo, Daniel Dahlmeier and Bingsheng He. Multi-Query Optimization for Complex Event Processing in SAP ESP . ICDE 2017: IEEE International Conference on Data Engineering (ICDE), 2017 (industrial track). New Start : Bingsheng joined NUS School of Computing in May 2016. TBD SI : With Prof. Yunji Chen and Dr. Jingren ZHou, we have set up new special issue in IEEE Trans. on Big Data: "Big; Data Systems on Emerging Architectures".; Deadline: Oct 15. [Call-for-paper] CoRunBench : A Benchmark for Co-running Single Applications on Integrated Architectures. This is a joint effort with Tsinghua Univ. [Details and code] All Rights Reserved to Bingsheng He and Xtra Computing Group 2015 diff --git a/src/data/compiled_bios/1392.txt b/src/data/compiled_bios/1392.txt new file mode 100644 index 0000000000..4f7f2d7599 --- /dev/null +++ b/src/data/compiled_bios/1392.txt @@ -0,0 +1 @@ + Professor of Computer Science Deputy Director Advanced Robotics Center Vice Dean (Research) School of Computing School of Computing National University of Singapore 13 Computing Drive Singapore 117417 Republic of Singapore Office: Bldg. COM2, Rm. 03-52 Fax: +65 6779-4580 Web: http://motion.comp.nus.edu.sg/ To prospective students: We are looking for students to work on exciting research in robotics and AI ( self-driving cars , flying cameras , robots interacting with humans ,... ). If you are driven to explore new ideas and are passionate about research, you are welcome to contact me. Biography David Hsu is a professor of computer science at the National University of Singapore (NUS) and a member of NUS Graduate School for Integrative Sciences & Engineering. He received PhD in computer science from Stanford University . At NUS, he co-founded NUS Advanced Robotics Center and has been serving as the Deputy Director. He held visiting positions at MIT Aeronautics & Astronautics Department and CMU Robotics Institue. He is an IEEE Fellow. His research interests span robotics, AI, and computational structural biology. In recent years, he has been working on robot planning and learning under uncertainty and human-robot collaboration. He, together with colleagues and students, won the Humanitarian Robotics and Automation Technology Challenge Award at International Conference on Robotics & Automation (ICRA) 2015, the RoboCup Best Paper Award at International Conference on Intelligent Robots & Systems (IROS) 2015, and the Best Systems Paper Award at Robotics: Science & Systems (RSS), 2017. More information on his research is available on the MAP research group web site . He has chaired or co-chaired several major international robotics conferences, including WAFR 2004 and 2010, RSS 2015, and ICRA 2016. He was an associate editor of IEEE Transactions on Robotics. He is currently serving on the editorial board of Journal of Artificial Intelligence Research. Recent Activities Best Paper Award finalist, ACM/IEEE International Conference on Human Robot Interaction (HRI) , 2018. Best Systems Paper Award, Robotics: Science & Systems (RSS) , 2017. General Co-Chair, IEEE International Conference on Robotics & Automation (ICRA) , 2016. General Chair, Robotics: Science & Systems (RSS) , 2016. Editorial Board Member, Journal of Artificial Intelligence Research , 2011 -- present. Program Chair, Robotics: Science & Systems (RSS) , 2015. The mediocre teacher tells. The good teacher explains. The superior teacher demonstrates. The great teacher inspires. ---William Arthur Ward Last modified: Sun Aug 5 23:29:23 +08 2018 diff --git a/src/data/compiled_bios/1393.txt b/src/data/compiled_bios/1393.txt new file mode 100644 index 0000000000..144ffe847f --- /dev/null +++ b/src/data/compiled_bios/1393.txt @@ -0,0 +1 @@ + Wynne Hsu's Home Page Professor Department of Computer Science School of Computing , National University of Singapore . email: whsu@comp.nus.edu.sg fax: (65) 6779-4580 Ongoing Research Projects if !supportLists endif Medical AI Projects These projects are related to the design, development, and validation of AI in various medical applications. if !supportLists endif Social Media Analytic The project is funded by IDS, Institute of Data Science, to assess the credibility of information in Social Media. The iFACT system automatically computes a credible score based on fusion of evidence from independence sources. Completed Research Projects if !supportLists endif GeoVisualization of Spatio -Temporal Disease Spread The project is funded by CIDER, School of Public Health, for the interactive exploration of disease trends and patterns. The GeoVast system automatically highlights regions with abnormally high concentration of incidences and performs hot spots prediction. if !supportLists endif Flagship Project on Ocular Imaging The project is funded by ASTAR Exploit to fully automate the Singapore Eye Vessel Assessment System (SIVA). SIVA brings together various technologies from image processing and artificial intelligence (AI) to construct vascular models from retinal images. Subsequently, these models of blood vessels can be queried for a variety of measurements which have been shown to be correlated to diseases such as stroke, diabetes, hypertension etc. This project involves collaboration between Singapore Eye Research Institute (SERI) and NUS School of Computing . if !supportLists endif SiRIAN : Singapore Retinal Imaging and Archival Network The SiRIAN programme, funded by ASTAR SBIC, is focused on linking retinal image features with demographic and clinical data for risk prediction. This project involves collaboration between Centre of Eye Research Australia (CERA), I2R and NUS School of Computing . Mining from Spatio -Temporal Databases Spatio -temporal applications are gaining momentum especially in the last few years. The availability of spatio -temporal databases introduces the possibility of mining a new class of rules that captures changes and movements. We have designed and developed new spatio -temporal rule mining algorithms that capture the trends and behavior of spatio -temporal data. Related publications can be found here. The code for mining interval-based patterns is also available for download at https://dl.dropboxusercontent.com/u/15522119/Sigmod_code.zip . RetinaMiner : Mining Changes in Retinal Images A retina image provides a window into what is happening inside the human body. In particular, changes in the vascular structure of retina image have been shown to accurately reflect the cardio-vascular states of the body. The project aims to extract the vascular structure from the 2-dimensional digital retinal images and tag them with customized XML tags to enable physicians to query the changes that have occurred in the retina images. An automated spatio -temporal miner will be designed to highlight the interesting changes that occur in these vascular structures. Related publications can be found here. Knowledge Discovery in Biological and Clinical Data This is an I2R-SoC joint research project, funded by AStar , aimed at developing new knowledge discovery technologies for biological and clinical data. A suite of ``challenge'' databases and knowledge discovery systems for selected problems in biological and clinical data analysis are constructed. Among them, the work on protein-protein interaction network reliability and motif finding , called IRAP , is available for free download here. Cleaning Biomedical Data Data cleaning refers to a series of processes used to improve data quality. Existing approaches in detecting and correcting defective data are highly manual, tedious and incomplete, primarily focusing on a small subset of variables within a database. In many biomedical applications, the linkages among various data repositories such as biobank , clinical data, risk factors, clinical outcomes and imaging data, provide a rich source of knowledge for identifying likely erroneous data or records. This project will adopt a holistic approach to leverage on the data linkages for the identification of data artifacts . We will utilize data mining techniques to discover the context, trend and correlation in the data. The objective is to improve the quality of data for higher accuracy in analysis and preventing percolation of errors. RETINA RETINA is a joint collaboration between the National Healthcare Group Polyclinics, Tan Tock Seng Hospital , and School of Computing , NUS to investigate computed-aided screening of retinal images with: 1) abnormal cup-disc ratio, 2) small red and yellow leisons, and 3) tortuous blood vessles. This project was funded by NSTB-University Research Fund. A prototype system had been deployed in 9 polyclinics under the National Healthcare Group. Mining from Image Databases Images are powerful means of conveying information to human. As a result, many real-life applications involve processing and analyzing a large number of images. In spite of the widespread use of images, there is no effective techniques to mine interesting patterns from images. In this project, we investigate the unique characteristics of image data and design algorithms to automatically discover interesting image patterns. This project is funded by the Academic Research Fund at National University of Singapore. Data Mining and Intelligent Data Analysis Data mining has been recognized as an important technology for businesses internationally. Locally, there are many companies in Singapore that are interested in this technology. Here in School of Computing , we have designed and built a number of data mining tools (both generic and industry-specific) that can be readily adapted and used by industry users. One such tool to discover association rules and used the rules for accurate prediction is the Classification based on Association Rules, CBA . The tool is available for free download here. Publication Chronological Order My publications from the DBLP Bibliography Server Graduate Students Teaching if !supportLists endif AY2017/2018 if !supportLists endif CS6208 Advanced Topics in Artificial Intelligence if !supportLists endif CS2309 CS Research Methodology Previous Courses Taught if !supportLists endif CS1010 Introduction to Programming Methodology if !supportLists endif CS6208 Advanced Topics in Artificial Intelligence if !supportLists endif CS6220 Advanced Topics in Data Mining if !supportLists endif CS1010 Introduction to Programming Methodology if !supportLists endif CS6220 Advanced Topics in Data Mining if !supportLists endif CS1101Y Introduction to Programming Methodology if !supportLists endif CS5228 Knowledge Discovery in Databases Personal information Ph D, Electrical and Computer Engineering, Purdue University , USA M Sc, Computer Science, Purdue University , USA B Sc, Computer Science, National University of Singapore , Singapore diff --git a/src/data/compiled_bios/1394.txt b/src/data/compiled_bios/1394.txt new file mode 100644 index 0000000000..d58229ea45 --- /dev/null +++ b/src/data/compiled_bios/1394.txt @@ -0,0 +1 @@ + if !vml endif if !vml endif Zhiyong Huang Associate Professor (Practice) AS6-05-11, 13 Computing Drive, Singapore 117417 Email: huangzy {at} comp.nus.edu.sg, dcshuang {at} nus.edu.sg, huangzy {at} acm.org, huangzy {at} ieee.org Phone: +65 651 61170, Fax: +65 6779 4580 About Selected publications Graduate students Teaching Service Misc CV Zhiyong is an Associate Professor (Practice), Department of Computer Science , NUS School of Computing . He is conducting C omputing T ranslational Re search a n d D evelopment, the C- TReND . He had been working as a Senior Scientist in Institute for Infocomm Research (I 2 R), A*STAR since 2007, where he served various roles including Senior Manager, Strategic Capability Development and Industry Development, Co-Principal Investigator of SERC Industrial Robotics Programme, Department Head of Computer Graphics and Interface (CGI) and Programme Manager of SERC Human Factor Engineering (HFE). He was an Assistant Professor of NUS School of Computing and Lecturer in Department of Computer Science and Technology , Tsinghua University , China. He received Ph.D. from EPFL , Switzerland in 1997, with a thesis on human animation from the Immersive Interaction Group (IIG) , MEng and BEng from the CG & CAD Lab , Tsinghua University in 1988 and 1986 respectively. He was an Adjunct Associate Professor in School of Computing , NUS and serves as a PhD supervisor in NGS, NUS Graduate School for Integrative Sciences and Engineering . His research interest is in computer graphics, large data visualization and human-robot interface. diff --git a/src/data/compiled_bios/1395.txt b/src/data/compiled_bios/1395.txt new file mode 100644 index 0000000000..25e02e1962 --- /dev/null +++ b/src/data/compiled_bios/1395.txt @@ -0,0 +1 @@ + Joxan Jaffar Professor Department of Computer Science National University of Singapore 13 Computing Drive Republic of Singapore 117417 Email: joxan@comp.nus.edu.sg URL: http://www.comp.nus.edu.sg/~joxan Tel: +65 6516 7346 Fax: +65 6779 4580 Bio Research Professional Activities ( PLDI 2018 ) [ nus ] [ soc ] [ CS staff ] [ NUS Map ] Prospective PhD Students Research Fellow / Research Assistant Positions Available diff --git a/src/data/compiled_bios/1396.txt b/src/data/compiled_bios/1396.txt new file mode 100644 index 0000000000..d79c43f189 --- /dev/null +++ b/src/data/compiled_bios/1396.txt @@ -0,0 +1 @@ +Sanjay Jain Email: sanjay@comp.nus.edu.sg Tel: (+65) 6516-7842 Fax: (+65) 6779-4580 Professor Sanjay Jain received his Bachelor's degree from Indian Institute of Technology, Kharagpur, India in 1986. He received his M. S. and Ph.D. from University of Rochester, in 1988 and 1990 respectively. Before he joined School of Computing in 1994, he was an associate research staff at the Institute of System Sciences (1992-94) and Assistant Professor at the University of Delaware (1990-92). His research interests include Inductive Inference, Computational Learning Theory, Structural Complexity, Recursion Theory. Systems That Learn, An Introduction to Learning Theory, 2nd edition Publication List diff --git a/src/data/compiled_bios/1397.txt b/src/data/compiled_bios/1397.txt new file mode 100644 index 0000000000..ab67c1afab --- /dev/null +++ b/src/data/compiled_bios/1397.txt @@ -0,0 +1 @@ + Djordje Jevdjic Assistant Professor address: School of Computing National University of Singapore 13 Computing Drive COM2-03-26 Singapore 117417 e-mail: lastName@comp.nus.edu.sg I'm an assistant professor at the School of Computing at the National University of Singapore. Prior to joining NUS, I spent a year at Microsoft Research in Redmond working with Karin Strauss and her fantastic team on the DNA storage project (check this exciting video ), and before that I was a postdoctoral researcher at the University of Washington, working in the SAMPA group led by Luis Ceze and Mark Oskin. I received my PhD degree from the School of Computer and Communication Sciences at EPFL, Switzerland, where I worked in Parallel Systems Architecture Laboratory (PARSA) with Prof. Babak Falsafi . Do you think you deserve to be remembered forever? Please give us your most memorable photos and we will encode them into DNA to make sure they last for millions of years! My research focuses on increasing the efficiency of server systems for datacenters to support sustainable growth of important global services during the ongoing environmental crisis. I seek to minimize the energy footprint and maximize the compute and storage density of server systems through better system integration, the use of emerging technologies, specialization of various system components for prevalent applications, and disciplined approximation. Current focus : approximate computing, systems for AI, DNA data storage, specialized storage systems for multimedia, memory systems for servers (including gigantic DRAM caches), 3D integrated circuits, near-memory processing, virtual memory support for big data, and server systems modeling and evaluation. Want to know more? You can check out my (hopefully updated) resume and research statement , as well as my Google Scholar page . I am actively looking for motivated PhD students, postdocs, interns, and research assistants to work with me on a variety of exciting problems. Please send me an e-mail if you are interested in working with me. Education Ph.D. Computer Science, School of Computer and Communication Sciences , Ecole Polytechnique Federale de Lausanne , Lausanne, Switzerland (2009-2015) M.Sc. Computer Science, School of Electrical and Computer Engineering , University of Belgrade, Serbia (2007-2009) B.Sc. Electrical and Computer Engineering, School of Electrical and Computer Engineering , University of Belgrade, Serbia (2003-2007) Work Experience National University of Singapore, School of Computing Assistant Professor, 06/2018 - present Microsoft Research, Redmond Visiting Researcher, 04/2017 - 04/2018 University of Washington, Seattle Postdoctoral Research Fellow, 10/2015 - 04/2017 Parallel Systems Architecture Lab, EPFL, Switzerland Research and Teaching Assistant, 09/2009 - 09/2015 University of Belgrade, School of Electrical and Computer Engineering, Belgrade, Serbia Teaching Assistant, 01/2008 - 09/2009 Microsoft Development Center Serbia, Belgrade, Serbia 11/2007 - 02/2008 Barcelona Supercomputing Center, Barcelona, Spain Intern, 09/2007 - 11/2007 Selected Publications Clustering Billions of Reads for DNA Data Storage (selected for NIPS Highlights) Cyrus Rashtchian, Konstantin Makarychev, Miklos Racz, Siena Ang, Djordje Jevdjic , Sergey Yekhanin, Luis Ceze, and Karin Strauss Advances in Neural Information Processing Systems (NIPS), December 2017 Approximate Storage for Encoded and Encrypted Videos Djordje Jevdjic , Karin Strauss, Luis Ceze, and Henrique Malvar 22nd Intl. Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) April 2017 Near-Memory Address Translation Javier Picorel, Djordje Jevdjic , and Babak Falsafi. 26th Intl. Conference on Parallel Architectures and Compilation Techniques (PACT) September 2017 Fat Caches for Scale-Out Servers Djordje Jevdjic Unison Cache: A Scalable and Effective Die-Stacked DRAM Cache Djordje Jevdjic A Case for Specialized Processors for Scale-Out Workloads Michael Ferdman, Almutaz Adileh, Onur Kocberber, Stavros Volos, Mohammad Alisafaee, Djordje Jevdjic , Cansu Kaynak, Adrian Daniel Popescu, Anastasia Ailamaki, and Babak Falsafi IEEE Micro Top Picks, Vol. 34, 2014 Die-Stacked DRAM Caches for Servers: Hit Ratio, Latency, or Bandwidth? Have It All with Footprint Cache Djordje Jevdjic From A to E: Analyzing TPC's OLTP Benchmarks - The obsolete, the ubiquitous, the unexplored Djordje Jevdjic Quantifying the Mismatch between Emerging Scale-Out Applications and Modern Processors Michael Ferdman, Almutaz Adileh, Onur Kocberber, Stavros Volos, Mohammad Alisafaee, Djordje Jevdjic , Cansu Kaynak, Adrian Daniel Popescu, Anastasia Ailamaki, and Babak Falsafi ACM Transactions on Computer Systems (TOCS), Vol. 30, Issue 4, November 2012 Thermal Characterization of Cloud Workloads on a Power-Efficient Server-on-Chip Dragomir Milojevic, Sachin Idgunji, Djordje Jevdjic , Emre Ozer, Pejman Lotfi-Kamran, Andreas Panteli, Andreas Prodromou, Chrysostomos Nicopoulos, Damien Hardy, Babak Falsafi, and Yiannakis Sazeides. 30th Intl. IEEE Conference on Computer Design (ICCD), September-October 2012, Montreal, Quebec, Canada. Scale-out Processors Pejman Lotfi-Kamran, Boris Grot, Michael Ferdman, Stavros Volos, Onur Kocberber, Javier Picorel Obando, Almutaz Adileh, Djordje Jevdjic , Sachin Idgunji, Emre Ozer, and Babak Falsafi 39th Intl. Symposium on Computer Architecture (ISCA), June 2012, Portland, Oregon, USA. Clearing the Clouds: A Study of Emerging Workloads on Modern Hardware (best paper award) Michael Ferdman, Almutaz Adileh, Onur Kocberber, Stavros Volos, Mohammad Alisafaee, Djordje Jevdjic , Cansu Kaynak, Adrian Daniel Popescu, Anastasia Ailamaki, and Babak Falsafi 17th Intl. Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), March 2012, London, UK. Miscellaneous I'm very passionate about classical piano and choral music. Please come to my next concert to hear and enjoy some uplifting Gospel music: 03/06/2017, 7:30pm @University Presbyterian Church (4540 15th Ave NE, Seattle) diff --git a/src/data/compiled_bios/1398.txt b/src/data/compiled_bios/1398.txt new file mode 100644 index 0000000000..2d824c36b5 --- /dev/null +++ b/src/data/compiled_bios/1398.txt @@ -0,0 +1 @@ + Min Suk Kang Home Research Publications Teaching CV Min Suk Kang I am an assistant professor of Computer Science Department , School of Computing at National University of Singapore . My research interests lie in the field of network and distributed systems security , IoT network security , and blockchain security . I obtained my PhD degree in Electrical and Computer Engineering from Carnegie Mellon University in 2016 under the supervision of Virgil D. Gligor in CyLab . I received BS and MS degrees in EECS at Korea Advanced Institute of Science and Technology (KAIST) in 2006 and 2008, respectively. Advertisement We have multiple positions open: PhD students , graduate/undergraduate interns , and PostDocs , thanks to generous funding from Huawei, Singtel, and MOE. If you are interested, please send me an email with your cv and schedule a call or a meeting. News (12/2018) Our paper on Transit-link DDoS Attacks and Defenses has been accepted to IEEE S&P 2019 . Congrats to Muoi! ( Link to the paper) (12/2018) I gave a talk at University of Central Florida on new approaches to DDoS defenses. (08/2018) Our paper on Bitcoin mixer has been accepted to ACSAC 2018 . Congrats to Muoi! (08/2018) Huawei decided to fund our work on Future Internet Architecture. Thanks Huawei! (08/2018) I joined Crystal Centre as a Co-PI. (08/2018) I chaired the Panel Discussion on Blockchain and Its Applications at SecureComm18. (06/2018) NUS-Singtel Corp Lab funded our work on Collaborative DDoS Defense. Thanks Singtel! (05/2018) Muoi Tran joined IBM Blockchain Singapore for his Summer internship. (05/2018) NUS-Singtel Corp Lab funded our work on Network Virtualization for IoT Security. Thanks Singtel! (04/2018) I gave a talk at Singapore Cybersecurity Consortium on our DDoS defense system. (03/2018) I gave a invited talk at APAN45 Network Security Session on our DDoS defense system. (03/2018) Inkyu Bang was awarded (USD 35,000) for IoT Wireless Security from National Research Foundation of Korea . Congrats Inkyu! (02/2018) MOE Tier-1 Grant awarded for IoT Wireless Security. (01/2018) Muoi Tran was awarded I&E Practicum@SoC (S$10,000 grant!) for his start-up idea. People PhD Students Muoi Tran Nitya Lakshmanan Master Students Deli Gong (part time; working for Kyber Network) PostDoc Researchers Inkyu Bang Jehyun Lee Gradudate Interns Waqar Ahmad (PhD student at Tsinghua University) Undergrad Interns Gi Jun Moon (Korea University) Inho Choi (Yonsei University) Jun Seung Lee (Seoul National University) Videet Singhai (Sardar Patel Institute of Technology) Former members Junhee Lee (Sejong University) Hyowan Park (Sejong University) Seunghun Kim (Sejong University) Soyeon Park (currently PhD at Georgia Tech) Seunghoon Woo (currently PhD at Korea Univ) Weichuan Tan (Master at NUS) Victor Nguyen (Master at NUS) Jungki Min (from Korea Univ) Dong Sung Kim (from Korea Univ) Contact Email : kangms (at) comp.nus.edu.sg Office : COM2 #03-58 Phone: (+65) 6601 1053 Mailing address: 13 Computing Drive, Computing 1, #03-27, Singapore, 117417 Selected Publications (please refer to the full list of my publications) SPIFFY: Inducing Cost-Detectability Tradeoffs for Persistent Link-Flooding Attacks. Min Suk Kang , Virgil D. Gligor, and Vyas Sekar. In Proceedings of Network and Distributed System Security Symposium (NDSS) , February 2016. Acceptance rate: 15.4% (60 of 389) [ paper ] Routing Bottlenecks in the Internet: Causes, Exploits, and Countermeasures. Min Suk Kang and Virgil D. Gligor. In Proceedings of ACM Conference on Computer and Communications Security (CCS) , November 2014. Acceptance rate: 19.5% (114 of 585) [ paper ] [ slides ] CoDef: Collaborative Defense Against Large-Scale Link-Flooding Attacks. Soo Bum Lee, Min Suk Kang , and Virgil D. Gligor. In Proceedings of ACM Conference on emerging Networking EXperiments and Technologies (CoNEXT) , December 2013. Acceptance rate: 20.3% (29 of 143) [ paper ] [ slides ] The Crossfire Attack. Min Suk Kang , Soo Bum Lee, and Virgil D. Gligor. In Proceedings of IEEE Symposium on Security and Privacy (IEEE S&P) , May 2013. Acceptance rate: 12% (38 of 315) [ paper ] [ slides ] Selfish Manipulation of Cooperative Cellular Communications via Channel Fabrication. Shrikant Adhikarla, Min Suk Kang , and Patrick Tague. In Proceedings of ACM Conference on Security and Privacy in Wireless and Mobile Networks (WiSec) , April 2013. [ paper ] 2019 Min Suk Kang. Powered by Jekyll using the Minimal Mistakes theme. diff --git a/src/data/compiled_bios/1399.txt b/src/data/compiled_bios/1399.txt new file mode 100644 index 0000000000..be8379f22c --- /dev/null +++ b/src/data/compiled_bios/1399.txt @@ -0,0 +1 @@ + M OHAN S K ANKANHALLI Dean , School of Computing Provost's Chair Professor of Computer Science National University of Singapore Singapore 117417 Office: Building AS6, Room #05-06 Phone: (65) 6516-6738 Fax: (65) 6779-4580 Email: mohan@comp.nus.edu.sg Education: B.Tech. (Electrical Engineering) Indian Institute of Technology, Kharagpur M.S. and Ph.D. ( Computer & Systems Engineering ) Rensselaer Polytechnic Institute, Troy NY Research Interests: Multimedia Computing Information Security & Privacy Image/Video Processing Social Media Analysis Research Groups: Director, Sensor-Enhanced Social Media (SeSaMe) Centre , Smart Systems Institute Multimedia Analysis and Synthesis Lab Information Security Teaching: CS3235: Computer Security [Sem I: 2001] CS3242: Hypermedia Information Processing [Sem II: 1999; 2000; 2001] CS4241: Multimedia Information Retrieval [Sem I: 1998; 1999; 2000; 2001] CS5231: Cryptographic Techniques and Data Security [Sem I: 2002; 2003; 2004; 2005] CS5240: Theory and Practice of Multimedia [Sem I: 2006; 2007; 2008] CS5342: Multimedia Computing and Applications [Sem I: 2009, Sem II: 2010, 2011, 2013] Research Group: Undergraduate students Graduate students Ashraf Abdul (PhD, NUS, Intelligible Aggregate Data Analytics [co-advised with Brian Lim]) Chen Xiang (PhD, NUS, Computational Multimedia Advertisement) Lei Yifan (PhD, NUS, Multimedia Analytics [co-advised with Anthony Tung]) Li Junnan (PhD, NUS-NGS, Social Relationships Understanding) Mannu Malhotra (MComp, NUS, Risk Perception in Social Media) Andrey Sakryukin (PhD, NUS, Multimodal Analysis) Xu Bingjie (PhD, NUS-NGS, Understanding Affordance in Images and Video) Zhang Jingfeng (PhD, NUS, Privacy in Machine Learning [co-advised with Bryan Low]) Postdocs Zhiyong Cheng Alumni Professional: Journal Editorial Boards: Springer LNCS Transactions on Data Hiding and Multimedia Security [03/2005 - present] Springer Multimedia Systems Journal [06/2005 - present] ACM Transactions on Multimedia Computing, Communications and Application [11/2005 - present] Pattern Recognition [08/2006 - present] Springer Multimedia Tools and Applications Journal [06/2009 - present] Springer Journal of Big Data [02/2013 - present] Past Journal Editorial Boards Conference Committees: General Co-Chair, IEEE International Symposium on Multimedia (ISM 2017) Workshop Co-Chair, IEEE International Conference on Multimedia & Expo (ICME 2018) Program Co-Chair, IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR 2018) General Co-Chair, IEEE International Conference on Advanced Video and Signal-based Surveillance (AVSS 2018) Past Conference Committees Publications: Recent publications Full List Personal: Bio Last update: Thursday, 09-Aug-2018 22:37:59 SGT diff --git a/src/data/compiled_bios/14.txt b/src/data/compiled_bios/14.txt new file mode 100644 index 0000000000..cc2b11d35b --- /dev/null +++ b/src/data/compiled_bios/14.txt @@ -0,0 +1 @@ + Timothy M. Chan Department of Computer Science University of Illinois at Urbana-Champaign 201 N. Goodwin Ave. Urbana, IL 61801, USA E-mail : tmc "at" illinois "dot" edu Office : Siebel 3230 I am a Founder Professor in Computer Science. (Prior to joining UIUC, I taught at the Cheriton School of Computer Science, University of Waterloo from 1999 to 2016.) Research Interests: Computational Geometry Algorithms and Data Structures Publications (see also DBLP's listing ) Publications by Topics Current Journal Editorial Boards: Algorithmica Discrete and Computational Geometry Computational Geometry: Theory and Applications International Journal of Computational Geometry and Applications SIAM Journal on Computing Recent Conference Program Committees: SODA'19 (chair), SPIRE'17 , STOC'16 , CPM'15 , FSTTCS'14 , FOCS'14 , ITCS'14 , CCCG'13 , SoCG'13 (co-chair), ISAAC'12 , ... Recent Invited Talks: Geometric Problems in Moderate Dimensions ( HALG'18 ) Fun with Recursion and Tree Drawings (for GD'17 ) Computational Geometry, from Low to High Dimensions (for the STOC/SoCG'16 day) Cuttings in 2D Revisited (for CCCG'14 ) The Art of Shaving Logs (for WADS'13 ) Combinatorial Geometry and Approximation Algorithms (for ISAAC'12 ) Mihai's Work in Computational Geometry (for FOCS'12 Workshop on Data Structures, in memory of Mihai Patrascu ) Computational Geometry for Non-Geometers: Recent Developments on Some Classical Problems (for SODA'11 ) Instance-Optimal Geometric Algorithms (for EuroCG'10 ) Current Teaching: CS 598 (TMC) Geometric Approximation Algorithms (Fall 2018) diff --git a/src/data/compiled_bios/140.txt b/src/data/compiled_bios/140.txt new file mode 100644 index 0000000000..1409a51ff9 --- /dev/null +++ b/src/data/compiled_bios/140.txt @@ -0,0 +1 @@ + Menu Bio People Papers Talks Search Sam Burden Asst Prof in UW ECE Latest Posts NSF CPS grant August 30, 2018 Lillian Ratliff and I have just received a new award from the NSF Cyber-Physical Systems (CPS) program for our proposal on certifiable reinforcement learning for CPS. Greetings from the beach! May 22, 2018 As the absent co-organizer of last years meeting, it was a pleasure to attend Dynamic Walking (DW) this year doubly so since it was at such an outrageously beautiful location! AMP Open House January 24, 2018 The lab I share with folks from Electrical Engineering, Mechanical Engineering, and Rehabilitation Medicine officially opened! Papers at ICRA, HSCC, SPIE February 15, 2017 Andrew Pace will present our papers on different ways to differentiate contact-rich dynamics at HSCC in Pittsburgh, PA and ICRA in Singapore; in the meantime, you can read pre-prints of the ICRA paper and the HSCC paper. AMP Center launched October 15, 2016 I am thrilled to announce that weve officially launched our new Center for Amplifying Movement and Performance! S-STEM Grant September 01, 2016 I am thrilled to join the team, led by UW CoE Assoc Dean / EE Prof Eve Riskin, that just received an NSF S-STEM grant to expand innovative academic redshirts programs! Farewell to Ryan September 01, 2016 Postdoc Ryan Robinson has accepted a position with Spaceflight Industries starting Sep 1 2016, hell be an Engineer with the Attitude Determination and Control Team. Rattlesnake Ledge August 12, 2016 Spurred by Boras infectious enthusiasm, my graduate students (Bora, Yana, and Andrew), postdoc (Ryan), and I hiked Rattlesnake Ledge. AMP Center SRI funded August 01, 2016 The UW CoE Strategic Research Initiative (SRI) proposal I wrote in collaboration with Kat Steele, Eric Rombokas, Chet Moritz, and Val Kelly was funded! This award will enable us to launch an interdisciplinary Center for Analysis of Motion and Performance in Humans and Machines (AMP Center) based out of our new motion analysis facility in Wallace Hall (photo above shows renovation progress as of July 26 2016). Greetings from summer camp! June 08, 2016 Its no secret that Dynamic Walking (DW) is my favorite academic meeting. Its everything that the massive, 20+ parallel-track conferences I frequent (which I wont name, but will link to) arent. Faculty mix with students, everyone attends the talks, there are lively group discussions, and, amazingly, tons of time for socializing and recreating. 2018 Sam Burden. Powered by Jekyll using the So Simple Theme . diff --git a/src/data/compiled_bios/1400.txt b/src/data/compiled_bios/1400.txt new file mode 100644 index 0000000000..04179a8c49 --- /dev/null +++ b/src/data/compiled_bios/1400.txt @@ -0,0 +1 @@ + KHOO, Siau Cheng Email address: khoosc at nus dot edu dot sg URL : http://www.comp.nus.edu.sg/~khoosc Voice Contact : (+65) 6516 6730 Fax : (+65) 6779 4580 Office : #04-11, Level 4, COM2. Associate Professor Co-Director , Master of Science (Business Analytics) Department of Computer Science NUS Business Analytics Centre School of Computing in Collaboration with IBM National University of Singapore I 3 Building COM1, 13 Computing Drive, 21 Heng Mui Keng Terrace Singapore 117417 Singapore 119613 Short CV Research Teaching Last Update: February 2016 diff --git a/src/data/compiled_bios/1401.txt b/src/data/compiled_bios/1401.txt new file mode 100644 index 0000000000..d61a126a06 --- /dev/null +++ b/src/data/compiled_bios/1401.txt @@ -0,0 +1 @@ + Lee Mong Li Janice School of Computing National University of Singapore Computing 1, 13 Computing Drive Singapore 117417 Email: leeml@comp.nus.edu.sg Tel: (65) 6516 2905 Fax: (65) 6779 4580 Lee Mong Li is a Professor in the School of Computing at the National University of Singapore. She has extensive experience in data management, including data cleaning and data fusion (combining data from disparate sources), and in analysis of semistructured and spatio-temporal data. She has published more than 150 papers in major database conferences and journals, and is the co-author of two books on ``Designing Semi-structured Database'' and ``Temporal and Spatio-Temporal Data Mining''. She plays a key role in several multi-disciplinary government funded research projects to build systems that are practical and deployable. She is actively involved in the research community, holding various key roles and serving on the Program Committees of prestigious database and data mining conferences. Mong Li received her Ph.D., M.Sc. and B.Sc. (Hons 1) degrees in Computer Science from the National University of Singapore. She was awarded the IEEE Singapore Information Technology Gold Medal for being the top student in the Computer Science program in 1989. She was a visiting Fellow at the University of Wisconsin-Madison, USA 1999, and Consultant at QUIQ USA in 2000. She was the co-recipient of Singapore's President Technology Award in 2014. Research Publications Chronological Order My publications from the DBLP Bibliography Server Ongoing Projects Medical AI Projects Social Network Analytics We have multiple openings for postdoctoral fellows and research assistants to work on system development and research issues related to healthcare and social media. Please email me or Wynne Hsu your CV and research statement if interested. (Posted on 21 December 2018) Completed Projects Professional Activities Graduate Students Resources Teaching Courses Taught Undergraduate Student Projects You are the visitor No. 116094 (since 13-Sep-94 17:04:00 SGT). Click here for complete statistics of access including breakdowns by top-level domain, host name, and date. diff --git a/src/data/compiled_bios/1402.txt b/src/data/compiled_bios/1402.txt new file mode 100644 index 0000000000..45317fc12c --- /dev/null +++ b/src/data/compiled_bios/1402.txt @@ -0,0 +1 @@ + Lee Wee Sun Professor Department of Computer Science Computing 1 13 Computing Drive Singapore 117417 Republic of Singapore Brief Biography Office : AS6 5-04 Phone : +65 6516 4526 Fax : +65 6779 4580 Email : Calendar Teaching CS3230 Design and Analysis of Algorithms (Semester 1 2017) CS5339 Theory and Algorithms for Machine Learning(Semester 2 2016) Research Interests Machine Learning Planning Under Uncertainty Software Tensor Belief Propagation POMDP Higher Order CRF Conference Organization Algorithmic Learning Theory and Discovery Science 2013 Asian Conference on Machine Learning 2012 Machine Learning Summer School 2011 Publications Selected Publications Google Scholar Group Members Previous Group Members Lim Zhan Wei (PhD), Grab Nguyen Viet Cuong (PhD), Applied Scientist, Amazon Web Services Ankit Goyal (MSc) Philip Beh (MSc) Ye Nan (PhD), Lecturer, University of Queensland Nguyen Dinh Truong Huy (PhD), Software Engineer, Google Wang Yi (Postdoc), Principal Technologist, Rolls-Royce Ngo Anh Vien (Postdoc), Lecturer, Queen's University Belfast Sylvie Ong (Postdoc), Research Engineer, Nuance Communication Wu Dan (PhD), Assistant Vice President, Citibank Lu Wei (PhD), Assistant Professor, Singapore University of Design and Technology Chieu Hai Leong (PhD), Principal Member of Technical Staff, DSO National Laboratories. Lim Yew Jin (PhD), Principal Software Engineer, Google Mountain View. Teh Yee Whye (LKY Postdoc), Professor, University of Oxford Yin Xinyi (PhD), Founder and CEO, Mozat Pte. Ltd . Upali Kohomban (PhD), Head of Research, Codegen Zhang Xinhua (MSc), Researcher, NICTA Dell Zhang (Postdoc), Reader, Birbeck College, University of London. Yu Xiaoxue (MEng) Wang Yun Yan (MSc) Cen Cen (MSc) Wu Haoran (MSc) Last modified: 6 Sept 2015 diff --git a/src/data/compiled_bios/1403.txt b/src/data/compiled_bios/1403.txt new file mode 100644 index 0000000000..e6dea1b759 --- /dev/null +++ b/src/data/compiled_bios/1403.txt @@ -0,0 +1 @@ + BEN LEONG Associate Professor School of Computing National University of Singapore 15 Computing Drive, COM2 Building, #03-20, S(117418) Tel: (+65) 6516 4240 Fax: (+65) 6779 4580 Email: benleong at comp.nus.edu.sg I am an Associate Professor of Computer Science at the School of Computing, National University of Singapore (NUS). I received my Ph.D., M.Eng. and S.B. degrees from the Massachusetts Institute of Technology in 2006, 1997 and 1997 respectively. My research interests are in the areas of computer networking and distributed systems: Computer Networking Network Architecture Overlay Networks Peer-to-peer Networking Routing Algorithms Network Coding Distributed Systems Organization, Architecture and Programming Models Networked Games Algorithms for Self-Organization Novel Data Structures Last updated $Date: 2015/02/25 12:32:34 $ diff --git a/src/data/compiled_bios/1404.txt b/src/data/compiled_bios/1404.txt new file mode 100644 index 0000000000..13acdc9101 --- /dev/null +++ b/src/data/compiled_bios/1404.txt @@ -0,0 +1 @@ + Leong Hon Wai, Dept of Computer Science, National University of Singapore Leong Hon Wai () Associate Professor Dept of Computer Science , School of Computing , NUS , and University Scholars Programme (USP) , NUS . email,FB: leonghw @ comp.nus.edu.sg Office: (+65) 6516-2903 (COM1, 03-17) [ Directions ] Fax: (+65) 6779-4580 Latest: Spring-2018: GEQ1000 Asking Questions (GE, compulsory for all NUS freshmen) -- | GEQ1000 | Spring-2018: GET1031A Computational Thinking (GE, compulsory for all in FASS) -- | GET1031A | | Outreach: || CT is A&E; || SG50-50 || MakerFaire || Cattywampus! || Scratch! (from 2010) || Short Biography Awards: || ATEA-2009 || Fellow of SCS || Inspiring Mentor Award || Research -- || Research Projects || Recent Publications || 2009-CB-Lab-Talk || BAP Research -- Article as cover story in Innovation Magazine (Vol. 6, No. 1, Jan 2006). RADS Research -- Information on RADS ( R oute AD S FUN Research Statistics -- || Erdos Number: 3 || Genealogy: 12 steps to Euler || Conferences -- || RECOMB-2008 || GIW-2007 || RECOMB Regulation 2006 || Teaching -- | Fall 2016: UIT2201 | Cattywampus! | Admin -- | NOI | Need a Reference Letter? | Consultancy -- | Models | Professional -- | SCS Exco Member | code::Xtreme::Apps (2010) | Search --- | Google | Lycos | Weather | OoiWT My MySoC | Private --- | others | MySoC | MyNUS | SoC-Mail | gmail | FB | YG | gcal | OpenSSMe | 2015-Sabb | 2011-Sabb | 2014-Shonan | 2017-SichuanU | 2018-Walcom | Recent Past Sabbatical Leave : (Aug-Dec 2015) at UIUC -- | here | Sabbatical Leave : (January -July 2011) at CAS-MPG PICB , Shanghai, CHINA Award: Inspiring Mentor Award, NUS Office of Alumni Relations, 11-July-2009 -- | writeup | Award: NUS Annual Teaching Excellence Award, April 2009 -- | writeup | Award: Fellow of SCS (Singapore Computer Society), Mar 2009 -- | writeup | Award: USP Teaching Award 2008, June 2008 | writeup | Workshop for Primary School: Scratch workshop -- | @Fun-with-Scratch, 21-5-2010 | Workshop for High-School: @ MOE Science Focus -- mini-site | Dec-2011 | | Dec-2010 | | 10-Dec-2009 | | 14-Nov-2008 | | 22-Nov-2007 | Workshop/Talk for High-School: at NYGH -- | Talk @NYGH, 30-Sep-2010 | | Workshop @NYGH, 28-Jan-2010 | Computing Camp for High-School: @ Chung Hwa, KL, Malaysia -- | on 5-June-2010 | again on 26-May-2012 | Talk for High-School: Talk at Chung Hwa, Kuala Lumpur, Malaysia -- | 05-Nov-2008 | 29-Aug-2007 | slides (pdf) Talk for High-School: CS Problem Solving -- | SOC InfoComm Camp | 19-Dec-2007 | Talk for Undergrads: Talk to NUS-ACM Chapter -- | Talk @Computational Thinking Seminar | 16-Sept-2008 | | "On Doing Undergraduate Research", 2007 | Prog Comp: ITSC Code::XtremeApps:: Competition (2007 -- now) -- | 2009 | | 2008 | | Sept 2007 | Prog Comp: National Olympiad in Informatics (NOI) -- Founder (1998) --- | NOI | Prog Comp: Chief Judge of ISC'00 (Dec 2000 in Manila) | Chairman of ISSC'99 (Dec 1999 in Singapore) | Professional: EXCO Member of Singapore Computer Society (SCS) (1994-2007) ( Talk @ CAREER'2000, 10-March-2000 ) Chair, Organizing Committee -- || Workshop on BioAlgorithmics | (12-14 June 2006) Chair, Organizing Committee -- || IMS Algorithmic Biology Program (1 Jun to 31 Jul 2006) Co-Chair, Organizing Committee -- | Co-Chair (COCOON2002) | (Aug 2002) PC Member of ISAAC-2001 (New Zealand) -- | ISAAC'01 | PC Chair and Organizing Chair -- | ISAAC-97 | (Dec 1997) Programme Chairman of SEARCC'99 Division Head for Computer Science, NUS (1993--1997) Assistant Dean (Special Programmes), NUS-School of Computing (1998--2002) NUROP Congress 2002, Sept 2004 --- | here | SPD (1997-98) -- Special Programme in DISCS -- (1997/98) GEQ1000 Asking Questions (GE Module, compulsory for all NUS freshmen) [Provost Office] --- | Spring-2018 | Fall-2017 | ( pilot run: with 1400 students ) Spring-2017 | GET1031A: Computational Thinking (GE Module, compulsory for all in FASS) [Provost Office] --- | Spring-2018 GET1031 Computational Thinking (GE Module) --- | ( iBLOC pilot ) Fall-2017 | Spring-2017 | Spring-2016 | CS3230 Design and Analysis of Algorithms --- | Fall-2013 | Sp-2014 | Fall-2014 | Sp-2015 | CS3230R Design and Analysis of Algorithms (R) --- | CS3230R CS6234 Advanced Algorithms --- | 2009 | CS5234 Combinatorial and Graph Algorithms --- ( revived after 4 years, in Jan 2012 ) | Fall 2012 ) | ( put in cold storage by Curr-Cmte in Dec 2007) | 2007/08 | 2007 | 2002 | 2001 | 2000 | 1999 | CS5206 Fundamentals in Algorithms --- | Fall 2011 | Fall 2010 | Fall 2009 | Fall 2008 | (RIP after Dec 2011, by Curr-Cmte ) UIT2201 -- CS & IT Revolution (USP) -- | Fall 2016 | Fall 2014 | | Fall 2013 | Spring 2013 | Spring 2012 | Spring 2010 | Spring 2009 | | Spring 2008 ( Module Blog ) USP Teaching Award | | Spring 2007 | | Spring 2006 | Spring 2005 | Fall 2003 | Spring 2003 | Spring 2002 | USP | CS3233 Competitive Programming --- | Spring 2004 | Fall 2005 || CS1305 Problem Solving in Computing --- | Spring 2000 | Spring 1999 || IC1101S and IC1102S -- Structure and Interpretation of Computer Programs (1997/98) CS1101 Programming Methodology --- | Fall 2004 ( first time after revamped RAS-Group Gathering -- | BBQ-2006 | | RAS-Gathering-2008 ( evite-site | SOC GalaDinner ) | RAS-Gathering-2009 (Gp-photos on facebook) | Some Misc... Article --- Practice, Practice, Practice -- on learning to Program Prof. Pavel Pevzner's talk (8-Nov-2005) -- | (pdf, 1.5Mb) | Prof Jurg Nievergelt's Kara System -- zip file -- | karas-UPDATED.zip Prof C. L. Liu's Talk @SoC,NUS -- ppt files -- | optimization | economy Course and Career Talk SoC-NUS 2002 -- | here (pdf) Computer Science Accreditation Board CSAB MySoC -- here My Contact Info Leong Hon Wai Department of Computer Science National University of Singapore 13 Computing Drive, Block COM1 Singapore 117417 Republic of Singapore Tel: (+65) 6516-2903 Fax: (+65) 6779-4580 email: leonghw @ comp.nus.edu.sg Url: http://www.comp.nus.edu.sg/~leonghw Leong Hon Wai's Home Page School of Computing diff --git a/src/data/compiled_bios/1405.txt b/src/data/compiled_bios/1405.txt new file mode 100644 index 0000000000..cec20e3e48 --- /dev/null +++ b/src/data/compiled_bios/1405.txt @@ -0,0 +1 @@ + About Research Interest Teaching Publications Education Leong Wai Kay Instructor, School of Computing National University of Singapore 15 Computing Drive, COM2 Building, #02-11, Singapore 117418 Email: waikay AT comp.nus.edu.sg About I am an Lecturer with the Computer Science department in the School of Computing. I received my Ph.D. and B. Comp from NUS in 2014 and 2006 respectively. Research Interest My research interests includes Computer Networks Mobile Cellular Networks Peer-to-peer networking Quad-rotors Augmented Reality Teaching CS3217 Software Engineering on Modern Platforms - Sem 2 AY2016/17 to current CS1010S Programming Methodology - Sem 2 AY2014/15 to current CS2105 Computer Networks - Sem 1 AY2015/16 Publications Wai Kay Leong , Wang Zixiao, and Ben Leong, " TCP Congestion Control Beyond Bandwidth-Delay Product for Mobile Cellular Networks ". Proceedings of the 13th International Conference on emerging Networking EXperiments and Technologies (CoNEXT 2017), Seoul, South Korea. Dec 2017. (Acceptance Rate: 40/222, 18.0%). [ slides ] Shuaizhao Jin, Zixiao Wang, Wai Kay Leong , Ben Leong, Yabo Dong, and Dongming Lu, " Improving Neighbor Discovery with Slot Index Synchronization ". Proceedings of the 12th IEEE International Conference on Mobile Ad hoc and Sensor Systems (IEEE MASS 2015), Dallas, USA. Oct 2015. Wei Wang, Wai Kay Leong , and Ben Leong, " Potential Pitfalls of the Message in Message Mechanism in Modern 802.11 Networks ". Proceedings of the 9th ACM International Workshop on Wireless Network Testbeds, Experimental Evaluation & Characterization (WiNTECH 2014), Maui, Hawaii. Sept 2014. [ slides ] Wei Wang, Qiang Wang, Wai Kay Leong , Ben Leong, and Yi Li, " Uncovering a Hidden Wireless Menace: Interference from 802.11x MAC Acknowledgment Frames ". Proceedings of the 11th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON 2014). Singapore. Jun 2014. (Acceptance Rate: 68/235, 28.9%) Yin Xu, Zixiao Wang, Wai Kay Leong , and Ben Leong. " An End-to-End Measurement Study of Modern Cellular Data Networks ". Proceedings of the 15th Passive and Active Measurement Conference (PAM 2014). Los Angeles, USA. Mar 2014. (Acceptance Rate: 24/76, 31.5%) [ slides] Wai Kay Leong , Aditya Kulkarni, Yin Xu and Ben Leong. " Unveiling the Hidden Dangers of Public IP Addresses in 4G/LTE Cellular Data Networks ". Proceedings of the 15th International Workshop on Mobile Computing Systems and Applications (HotMobile 2014). Santa Barbara, USA. February 2014. (Acceptance Rate: 22/72, 30.5%) [ slides ] Wai Kay Leong , Yin Xu, Ben Leong and Zixiao Wang. " Mitigating Egregious ACK Delays in Cellular Data Networks by Eliminating TCP ACK Clocking ". Proceedings of the 21st IEEE International Conference on Network Protocols (ICNP 2013). Gttingen, Germany. October 2013. (Acceptance Rate: 46/251, 18%) Wei Wang, Raj Joshi, Aditya Kulkarni, Wai Kay Leong and Ben Leong. " Feasibility Study of Mobile Phone WiFi Detection in Aerial Search and Rescue Operations ". Proceedings of the 4th ACM Asia-Pacific Workshop on Systems (APSys 2013). Singapore. July 2013. (Acceptance Rate: 20/73, 27%) Yin Xu, Wai Kay Leong , Ben Leong and Ali Razeen. " Dynamic Regulation of Mobile 3G/HSPA Uplink Buffer with Receiver-Side Flow Control ". Proceedings of the 20th IEEE International Conference on Network Protocols (ICNP 2012). Austin, Texas. October 2012. (Acceptance Rate: 30/131, 23%) Daryl Seah, Wai Kay Leong , Qingwei Yang, Ben Leong, and Ali Razeen. " Peer NAT Proxies for Peer-to-Peer Games ". Proceedings of the 8th Annual Workshop on Network and Systems Support for Games (NetGames 2009). Paris, France. November 2009. (Acceptance Rate: 10/37, 27%) Education Doctor of Philosophy 2014, National University of Singapore Bachelor of Computing, Honours First Class 2006, School of Computing, National University of Singapore diff --git a/src/data/compiled_bios/1406.txt b/src/data/compiled_bios/1406.txt new file mode 100644 index 0000000000..dc0096c34a --- /dev/null +++ b/src/data/compiled_bios/1406.txt @@ -0,0 +1 @@ + LEOW Wee Kheng Associate Professor Dept. of Computer Science School of Computing National University of Singapore Research Focus Medical Image Analysis Computer Vision Image Processing Biography 1-page CV Full CV Research Highlight Skull Reconstruction Stroke Analysis Robust Principal Component Analysis Simulation of Cardiovascular Surgery Analysis & Quantification of Facial Disorders 3D Motion Capture for Digital Cultural Heritage 3D Motion Analysis for Sports Coaching If you are interested in working in these research areas, please read this... 26 Oct 2016 diff --git a/src/data/compiled_bios/1407.txt b/src/data/compiled_bios/1407.txt new file mode 100644 index 0000000000..dfbdb65b89 --- /dev/null +++ b/src/data/compiled_bios/1407.txt @@ -0,0 +1 @@ + Home Publications Research Teaching Zhenkai Liang Mailing address: 13 Computing Drive Computing 1, #03-27 Singapore, 117417 Phone: (+65) 6516 1226 Email: Click to Reveal Office: COM1 #03-16 I am an Associate Professor at the School of Computing , National University of Singapore . I'm a member of the Cyber-Security Research Group . My main research interest is in system and software security, web security, mobile security, and software testing. As a co-author, I received the Best Paper Award in ICECCS 2014, the Best Paper Award in W2SP 2014, the ACM SIGSOFT Distinguished Paper Award at ESEC/FSE in 2009, the Best Paper Award at USENIX Security Symposium in 2007, and the Outstanding Paper Award at ACSAC in 2003. I also won the Young Investigator Award of National University of Singapore in 2008, and Annual Teaching Excellence Award of NUS for the academic years 2013-2014 and 2014-2015. I received my Ph.D. degree in Computer Science from Stony Brook University in 2006, and B.S. degrees in Computer Science and Economics from Peking University in 1999. Selected Publications Full List Neural Nets Can Learn Function Type Signatures From Binaries. Zheng Leong Chua, Shiqi Shen, Prateek Saxena, and Zhenkai Liang. In USENIX Security Symposium , August 2017. Data-Oriented Programming: On the Expressiveness of Non-Control Data Attacks . Hong Hu, Shweta Shinde, Sendroiu Adrian, Zheng Leong Chua, Prateek Saxena, and Zhenkai Liang. In the IEEE Symposium on Security and Privacy , May 2016. Tool, Technique, and Tao in Computer Security Education . Zhenkai Liang and Jian Mao. In IEEE Reliability Magazine , August/September/October, 2015. Automatic Generation of Data-Oriented Exploits . Hong Hu, Zheng Leong Chua, Sendroiu Adrian, Prateek Saxena, and Zhenkai Liang. In the 24th USENIX Security Symposium , Washington DC, August 2015. I Know Where You've Been: Geo-Inference Attacks via the Browser Cache . (Best Paper Award, Workshop version in W2SP 2014) Yaoqi Jia, Xinshu Dong, Zhenkai Liang, and Prateek Saxena. In IEEE Internet Computing , Januany/February 2015. DroidVault: A Trusted Data Vault for Android Devices . (Best Paper Award) Xiaolei Li, Hong Hu, Guangdong Bai, Yaoqi Jia, Zhenkai Liang, and Prateek Saxena. In the 19th International Conference on Engineering of Complex Computer Systems (ICECCS) , Tianjin, China, August 2014. Protecting Sensitive Web Content from Client-side Vulnerabilities with Cryptons. [ PDF ] Xinshu Dong, Zhaofeng Chen, Hossein Siadati, Shruti Tople, Prateek Saxena, and Zhenkai Liang. In the 14th ACM Conference on Computer and Communications Security (CCS) , Berlin, Germany, November 2013. A Quantitative Evaluation of Privilege Separation in Web Browser Designs. [ PDF ] Xinshu Dong, Hong Hu, Prateek Saxena, and Zhenkai Liang. In the 18th European Symposium on Research in Computer Security (ESORICS) , Egham, UK, September 2013. Codejail: Application-transparent Isolation of Libraries with Tight Program Interactions. [ PDF ] Yongzheng Wu, Sai Sathyanarayan, Roland Yap, and Zhenkai Liang. In the 17th European Symposium on Research in Computer Security (ESORICS) , Pisa, Italy, September 2012. A Framework to Eliminate Backdoors from Response Computable Authentication. [ PDF ] Shuaifu Dai, Tao Wei, Chao Zhang, Tielei Wang, Yu Ding, Zhenkai Liang, and Wei Zou. In the IEEE Symposium on Security and Privacy , San Francisco, CA, May 2012. Identifying and Analyzing Pointer Misuses for Sophisticated Memory-corruption Exploit Diagnosis. [ PDF ] Mingwei Zhang, Aravind Prakash, Xiaolei Li, Zhenkai Liang, and Heng Yin. In the 19th Annual Network & Distributed System Security Symposium (NDSS) , San Diego, CA, February 2012. AdSentry: Comprehensive and Flexible Confinement of JavaScript-based Advertisements. [ PDF ] Xinshu Dong, Minh Tran, Zhenkai Liang, and Xuxian Jiang. In the 27th Annual Computer Security Applications Conference (ACSAC) , Orlando, FL, December 2011. Towards Fine-Grained Access Control in JavaScript Contexts. [ PDF ] Kailas Patil, Xinshu Dong, Xiaolei Li, Zhenkai Liang, and Xuxian Jiang. In the 31st IEEE International Conference on Distributed Computing Systems (ICDCS) , Minneapolis, MN, June 2011. DARWIN: An Approach for Debugging Evolving Programs. [ PDF ] (Distinguished paper award) Dawei Qi, Abhik Roychoudhury, Zhenkai Liang, Kapil Vaswani. In the ESEC and ACM SIGSOFT Symposium on the Foundations of Software Engineering (ESEC-FSE ), Amsterdam, the Netherlands, August 2009. (Acceptance rate: 14.7%) BitBlaze: A New Approach to Computer Security via Binary Analysis. [ PDF ] (*Invited keynote paper) Dawn Song,David Brumley,Heng Yin,Juan Caballero,Ivan Jager,Min Gyung Kang,Zhenkai Liang, James Newsome, Pongsin Poosankam, and Prateek Saxena. In the 4th International Conference on Information Systems Security (ICISS), Hyderabad, India , December 2008. Towards Automatic Discovery of Deviations in Binary Implementations with Applications to Error Detection and Fingerprint Generation . [ PDF ] (Best paper award) David Brumley, Juan Caballero, Zhenkai Liang, James Newsome, and Dawn Song. In the 16th USENIX Security Symposium , Boston, MA, August 2007. (Acceptance rate: 12.3%) Fast and Automated Generation of Attack Signatures: A Basis for Building Self-Protecting Servers . [ PDF ] Zhenkai Liang and R. Sekar. In the 12th ACM Conference on Computer and Communications Security (CCS) , Alexandria, VA, November 2005. (Acceptance rate: 15.2%) Isolated Program Execution: An Application Transparent Approach for Executing Untrusted Programs . [ PDF ] (Outstanding paper award) Zhenkai Liang, V.N. Venkatakrishnan, and R. Sekar. In the 19th Annual Computer Security Applications Conference (ACSAC) , Las Vegas, NV, December 2003. Here is my GnuPG public key signed by CACert.org Key ID : 0xB98FE3FADBC5E7A8 Fingerprint : 9515 1EE2 0B27 0954 D4F9 0EDC B98F E3FA DBC5 E7A8 diff --git a/src/data/compiled_bios/1408.txt b/src/data/compiled_bios/1408.txt new file mode 100644 index 0000000000..03bb3f45c2 --- /dev/null +++ b/src/data/compiled_bios/1408.txt @@ -0,0 +1 @@ + Dr. LING Tok Wang Professor Department of Computer Science School of Computing National University of Singapore Computing 1 (COM1) 13 Computing Drive Singapore 117417 Email: lingtw@comp.nus.edu.sg Tel: (65) 6516-2734 Fax: (65) 6779-4580 Office: COM2-03-01 Dr LING Tok Wang is a professor of the Department of Computer Science, School of Computing at the National University of Singapore . He was the Head of IT Division, Deputy Head of the Department of Information Systems and Computer Science, and Vice Dean of the School of Computing of the University. Before joining the University as a lecturer in 1979, he was a scientific staff at Bell Northern Research, Ottawa, Canada. He received his Ph.D. and M.Math., both in Computer Science, from University of Waterloo (Canada) and B.Sc.(1st class Hons) in Mathematics from Nanyang University (Singapore). His research interests include Data Modeling, Entity-Relationship Approach, Object-Oriented Data Model, Normalization Theory, Logic and Database, Integrity Constraint Checking, Semi-Structured Data Model, XML Twig Pattern Query Processing, ORA-semantics based XML and Relational Database Keyword Query Processing. He has published more than 230 international journal/conference papers and chapters in books, all in database research areas. He also co-edited 13 conference and workshop proceedings, co-authored one book, and edited one book. Professional Activities He organized and served as a program committee co-chair of 6 international database conferences, namely 4th Int Conference on Database Systems for Advanced Applications, (DASFAA 1995) Singapore, April 11-14, 1995. 4th Int Conference on Deductive and Object-Oriented Databases, (DOOD 1995) Singapore, Dec 1995. 17th International Conference on Conceptual Modeling (ER 1998) Singapore, Nov 16 - 20, 1998 3rd International Conference On Web Information Systems Engineering (WISE 2002) Singapore, Dec 12-14, 2002. 22nd International Conference on Conceptual Modeling (ER 2003) Chicago, Illinois, USA, October 13-16, 2003 30th International Conference on Conceptual Modeling (ER 2011) Brussels, Belgium, Oct.31 0 Nov 3, 2011. He organized and served as a conference/workshop co-chair/steering committee liaison of the following conference/workshops: DOOD 1995 Post-Conference Workshops on Integration of Knowledge Discovery in Databases and Object-Oriented Databases, and Temporal Reasoning in Deductive and Object-Oriented Databases. National University of Singapore, 8 Dec 1995. The 8th International Parallel Computing Workshop, Singapore, 7-8 Sept 1998. NSF-NSTB sponsored workshop on Internet and Databases, in conjunction with ER 1998. The first International Conference on Human.Society@Internet HSI 2001 July 4-6, 2001, Seoul, Korea. The Second International Conference on Human.Society@Internet HSI 2003 June 18-20, 2003, Seoul, Korea. 5th International Conference on Web-Age Information Management, (WAIM 2004) July 15-17, 2004, Dalian, China 23rd International Conference on Conceptual Modeling (ER 2004) November 8-12, 2004, Shanghai, China The 10th International Conference on Database Systems for Advanced Applications (DASFAA 2005) April 18-20, 2005, Friendship Hotel, Beijing, China The Third International Conference on Human.Society@Internet (HSI 2005) Tokyo, Japan, July 2005 Honorary Chair of The 11th International Conference on Database Systems for Advanced Applications (DASFAA 2006) April 12-15, 2006, Hilton Hotel, Singapore International Conference on Management of Data (SIGMOD 2007) June 11-14, 2007, Beijing, China. 36th International Conference on Very Large Data Base (VLDB 2010) August 2010, Singapore. The Second International Workshop on XML Data Management(XMLDM) In conjunction with the 13th Asia-Pacific Web Conference(APWeb2011), April 18, 2011, Beijing, China, http://datasearch.ruc.edu.cn/XMLDM2011/ The third XML-DM workshop in conjunction with WAIM 2011, 14 Sept 2011, Wuhan, China, http://datasearch.ruc.edu.cn/XMLDM11/ The Third Int Workshop on Keyword Search on Structured Data (KEYS 2012) in conjunction with Sigmod 2012, May 20, 2012, Scottsdale, Arizona, USA Steering Committee Liaison of 32nd International Conference on Conceptual Modeling (ER 2013) 11-13 November 2013, Hong Kong. Honorary Chair of The 19th International Conference on Database Systems for Advanced Applications (DASFAA 2014) 21-24 April 2014, Bali, Indonesia. The second International Conference on Big Data and Smart Computing (BigComp 2015) 9-11 Feb 2015, Jeju Island, Korea. PhD Colloquium Co-chair of the 20th International Conference on Database Systems for Advanced Applications, Hanoi, Vietnam, 20 April 2015. Steering Committee Liaison of The third International Conference on Big Data and Smart Computing (BigComp 2016) January 18-20, 2016, Hong Kong, China. Steering Committee Liaison of The fourth International Conference on Big Data and Smart Computing (BigComp 2017) Feb 13-16, 2017, Jeju Island, Korea Steering Committee Liaison of The fourth International Conference on Big Data and Smart Computing (BigComp 2018) Jan 15-17, 2018, Shanghai, China The 37th International Conference on Conceptual Modeling (ER 2018) October 22-25, 2018, Xi'an, China. He serves/served on the steering committees of 5 international conferences: He is a member of the steering committee of the International Conference on Conceptual Modeling (ER Conference) previously called International Conference on Entity Relationship Approach. He was the Vice Chair and Chair of the ER Conference for the periods from 1998 to 2000 and from 2000 to 2002, respectively. He is the Chair of the steering committee of the International Conference on Big Data and Smart Computing (BigComp) He was a member, Vice Chair, Chair, and then Advisor of the steering committee of the International Conference on Database Systems for Advanced Applications (DASFAA) from 1991 to 2007, and now he is an emeritus member. He was a steering committee member of the International Conference on Human.Society@Internet (HSI) from 2001 to 2005. He was a steering committee member of the International Conference on Deductive and Object-Oriented Databases (DOOD) He serves/served on the program committee of more than 160 international database conferences such as VLDB, CIKM, EDBT, ER, DASFAA, DOOD, DEXA, CoopIS, DOLAP, DaWaK, ADC, etc. He is an editor of the below international journals Data & Knowledge Engineering Journal of Database Management Journal of Data Semantics Journal of Information and Data Management Journal of Computing Science and Engineering (as a member of the International Advisory Board) He is an ER Fellow, an ACM Distinguished Scientist, IEEE Senior Life Member, and Fellow of Singapore Computer Society. He received the ACM Recognition of Service Award in 2007, the DASFAA Outstanding Contributions Award in 2010, and the Peter P. Chen Award in 2011. Selected Journal and Conference Papers Papers on Object-Relationship-Attribute Model for Semistructured Data (ORA-SS), Database Design, Schema Integration, XML Query Processing, ORA-Semantics based XML and Relational Database Keyword Query Proceesing List of my publications from the DBLP Bibliography Server Teaching IC52C1: Distributed and Parallel Database Systems CS4221: Database Design CS2102S: Database Systems Some information on Database Conferences and Bibliography Servers List of Computer Science Conferences & Workshops International Conference on Conceptual Modeling (ER) International Conference on Database Systems for Advanced Applications (DASFAA) International Conference on Deductive and Object-Oriented Databases (DOOD) DBLP - Computer Science Bibliography Server ACM SIGMOD Antholog This document, index.html , has been accessed 4480 times since 18-Jan-18 13:37:18 SGT. This is the 20th time it has been accessed today. A total of 2196 different hosts have accessed this document in the last 398 days; your host, irg-138.ip.ctc.biz , has accessed it 14 times. If you're interested, complete statistics for this document are also available, including breakdowns by top-level domain, host name, and date. diff --git a/src/data/compiled_bios/1409.txt b/src/data/compiled_bios/1409.txt new file mode 100644 index 0000000000..4c1a60a75d --- /dev/null +++ b/src/data/compiled_bios/1409.txt @@ -0,0 +1 @@ + You will be automatically redirected to my new homepage in 3 seconds. If your browser doesn't automatically load, click here . diff --git a/src/data/compiled_bios/141.txt b/src/data/compiled_bios/141.txt new file mode 100644 index 0000000000..bdba8cfd06 --- /dev/null +++ b/src/data/compiled_bios/141.txt @@ -0,0 +1 @@ + Networked Control Systems Laboratory Welcome to the UW ECE Networked Control Systems Laboratory. People Professor Linda Bushnell , LB2@uw.edu, More detail at my CV . Here is a short Bio. Zhipeng Liu, Ph.D. student Dinuka Sahabandu, Ph.D. student Sang Sagong, Ph.D. student Jiwei Wang, M.S. student Joanna Mazer, M.S. student Research Networked Control Systems, secure control, control using submodular optimization Publications Search for our publications on IEEE Xplore or in Research Gate . New Springer Book: Submodularity in Dynamics and Control of Networked Systems (Jan 2016), by Andrew Clark, Basel Alomair, Linda Bushnell, and Radha Poovendran. Encyclopedia of Systems and Control , Eds. John Baillieul, Tariq Samad (2015). Book Chapter: "Networked Control Systems: Architecture and Stability Issues," by Linda Bushnell and Hong Ye. diff --git a/src/data/compiled_bios/1410.txt b/src/data/compiled_bios/1410.txt new file mode 100644 index 0000000000..a9c0f3fd3f --- /dev/null +++ b/src/data/compiled_bios/1410.txt @@ -0,0 +1 @@ + Kok-Lim LOW , Ph.D. ( UNC-Chapel Hill ) (Chinese name: ) Senior Lecturer Department of Computer Science School of Computing National University of Singapore Office: AS6 #04-09 Phone: +65 6516-6784 Fax: +65 6779-4580 Email: LOWKL [at] comp.nus.edu.sg Research Computer Graphics is my main field of research, with focus in Computational Art Computational Aesthetics / Image Manipulation Real-Time 3D Rendering PEER-REVIEWED PUBLICATIONS [ show | hide all abstracts] Multi-style Paper Pop-up Designs from 3D Models . Conrado R. Ruiz Jr., Sang N. Le, Jinze Yu, and Kok-Lim Low . 35th Annual Conference of the European Association for Computer Graphics (EUROGRAPHICS 2014). In Computer Graphics Forum, 33(2), 2014. [ abstract ] [ Paper PDF 9,446 KB ] [ Video MP4 26,135 KB ] Abstract: Paper pop-ups are interesting three-dimensional books that fascinate people of all ages. The design and construction of these pop-up books however are done manually and require a lot of time and effort. This has led to computer-assisted or automated tools for designing paper pop-ups. This paper proposes an approach for automatically converting a 3D model into a multi-style paper pop-up. Previous automated approaches have only focused on single-style pop-ups, where each is made of a single type of pop-up mechanisms. In our work, we combine multiple styles in a pop-up, which is more representative of actual artists creations. Our method abstracts a 3D model using suitable primitive shapes that both facilitate the formation of the considered pop-up mechanisms and closely approximate the input model. Each shape is then abstracted using a set of 2D patches that combine to form a valid pop-up. We define geometric conditions that ensure the validity of the combined pop-up structures. In addition, our method also employs an image-based approach for producing the patches to preserve the textures, finer details and important contours of the input model. Finally, our system produces a printable design layout and decides an assembly order for the construction instructions. The feasibility of our results is verified by constructing the actual paper pop-ups from the designs generated by our system. Generating Multi-style Paper Pop-up Designs Using 3D Primitive Fitting . Conrado R. Ruiz Jr., Sang N. Le, and Kok-Lim Low . Technical Briefs, SIGGRAPH Asia 2013. [ abstract ] [ Paper PDF 6,248 KB ] Abstract: Paper pop-ups are fascinating three-dimensional books that impart stories and information more vividly to their readers. The design and construction of these pop-up books, however, are generally done by hand, and given the lack of expertise in this area, have necessitated the need for automated or computer-assisted design of paper pop-ups. This paper presents an automatic algorithm and the underlying theory for producing paper pop-up designs from 3D models. Existing studies on paper pop-ups have mainly focused on individual styles and proposed formulations for only a limited set of mechanisms. In our work, we design multi-style pop-ups by combining the formulations of previously studied styles with our derived validity conditions for box-style pop-ups. We use a mesh abstraction technique that fits volumetric primitives unto a 3D mesh, which are later automatically mapped to selected mechanisms. We also preserve important texture and shape contours using a hybrid object- and image-space approach. Finally, we generate printable design layouts and the corresponding assembly instructions to facilitate the actual production, which verifies the feasibility of our pop-ups. Surface- and Contour-Preserving Origamic Architecture Paper Pop-Ups . Sang N. Le, Su-Jun Leow, Tuong-Vu Le-Nguyen, Conrado Ruiz Jr., and Kok-Lim Low . IEEE Transactions on Visualization and Computer Graphics (TVCG), August 2013. [ abstract ] [ Paper Preprint PDF 37,929 KB | Low-Res PDF 4,316 KB ] [Executable Program (coming soon)] Abstract: Origamic architecture (OA) is a form of papercraft that involves cutting and folding a single sheet of paper to produce a 3D pop-up, and is commonly used to depict architectural structures. Because of the strict geometric and physical constraints, OA design requires considerable skill and effort. In this paper, we present a method to automatically generate an OA design that closely depicts an input 3D model. Our algorithm is guided by a novel set of geometric conditions to guarantee the foldability and stability of the generated pop-ups. The generality of the conditions allows our algorithm to generate valid pop-up structures that are previously not accounted for by other algorithms. Our method takes a novel image-domain approach to convert the input model to an OA design. It performs surface segmentation of the input model in the image domain, and carefully represents each surface with a set of parallel patches. Patches are then modified to make the entire structure foldable and stable. Visual and quantitative comparisons of results have shown our algorithm to be significantly better than the existing methods in the preservation of contours, surfaces and volume. The designs have also been shown to more closely resemble those created by real artists. Automatic Paper Sliceform Design from 3D Solid Models . Tuong-Vu Le-Nguyen, Kok-Lim Low , Conrado Ruiz Jr., and Sang N. Le. IEEE Transactions on Visualization and Computer Graphics (TVCG), November 2013. [ abstract ] [ Paper Preprint PDF 15,816 KB | Low-Res PDF 3,145 KB ] Abstract: A paper sliceform or lattice-style pop-up is a form of papercraft that uses two sets of parallel paper patches slotted together to make a foldable structure. The structure can be folded flat, as well as fully opened (popped-up) to make the two sets of patches orthogonal to each other. Automatic design of paper sliceforms is still not supported by existing computational models and remains a challenge. We propose novel geometric formulations of valid paper sliceform designs that consider the stability, flat-foldability and physical realizability of the designs. Based on a set of sufficient construction conditions, we also present an automatic algorithm for generating valid sliceform designs that closely depict the given 3D solid models. By approximating the input models using a set of generalized cylinders, our method significantly reduces the search space for stable and flat-foldable sliceforms. To ensure the physical realizability of the designs, the algorithm automatically generates slots or slits on the patches such that no two cycles embedded in two different patches are interlocking each other. This guarantees local pairwise assembility between patches, which is empirically shown to lead to global assembility. Our method has been demonstrated on a number of example models, and the output designs have been successfully made into real paper sliceforms. Dense Image Correspondence Under Large Appearance Variations . Linlin Liu, Kok-Lim Low , and Wen-Yan Lin. 18th IEEE International Conference on Image Processing 2013 (ICIP 2013). [ abstract ] [ Paper PDF 1,366 KB ] Abstract: This paper addresses the difficult problem of finding dense correspondence across images with large appearance variations. Our method uses multiple feature samples at each pixel to deal with the appearance variations based on our observation that pre-defined single feature sample provides poor results in nearest neighbor matching. We apply the idea in a flow-based matching framework and utilize the best feature sample for each pixel to determine the flow field. We propose a novel energy function and use dual-layer loopy belief propagation to minimize it where the correspondence, the feature scale and rotation parameters are solved simultaneously. Our method is effective and produces generally better results. Reconstruction of Depth and Normals From Interreflections . Binh-Son Hua, Tian-Tsong Ng, and Kok-Lim Low . 18th IEEE International Conference on Image Processing 2013 (ICIP 2013). [ abstract ] [ Paper PDF 220 KB ] Abstract: While geometry reconstruction has been extensively studied, several shortcomings still exist. First, traditional geometry reconstruction methods such as geometric or photometric stereo only recover either surface depth or normals. Second, such methods require calibration. Third, such methods cannot recover accurate geometry in the presence of interreflections. In order to address these problems in a single system, we propose an approach to reconstruct geometry from light transport data. Specifically, we investigate the problem of geometry reconstruction from interreflections in a light transport matrix. We show that by solving a system of polynomial equations derived directly from the interreflection matrix, both surface depth and normals can be fully reconstructed. Our system does not require projector-camera calibration, but only make use of a calibration object such as a checkerboard in the scene to pre-determine a few known points to simplify the polynomial solver. Our experimental results show that our system is able to reconstruct accurate geometry from interreflections up to a certain noise level. Our system is easy to set up in practice. Direct and Progressive Reconstruction of Dual Photography Images . Binh-Son Hua, Imari Sato, and Kok-Lim Low . 18th IEEE International Conference on Image Processing 2013 (ICIP 2013). [ abstract ] [ Paper PDF 645 KB ] Abstract: Dual photography is a well-known application of light transport acquired by a projector-camera system. By applying compressive sensing, compressive dual photography is a fast approach to acquire the light transport for dual photography. However, the reconstruction step in compressive dual photography can still take several hours before dual images can be synthesized because the entire light transport needs to be reconstructed from measured data. In this paper, we present a novel reconstruction approach that can directly and progressively synthesize dual images from measured data without the need of first reconstructing the light transport. We show that our approach can produce high-quality dual images in the order of minutes using only a thousand of samples. Our approach is most useful for previewing a few dual images, e.g., during light transport acquisition. As a by-product, our method can also perform low-resolution relighting of dual images. We also hypothesize that our method is applicable to reconstructing dual images in a single projector-multiple cameras system. Enhancing Visual Dominance by Semantics-Preserving Image Recomposition . Lai-Kuan Wong and Kok-Lim Low . 20th ACM International Conference on Multimedia 2012 (MM 2012). [ abstract ] [ Paper PDF 5,663 KB ] [ Poster PDF 3,663 KB ] Abstract: We present a semi-automatic photographic recomposition approach that employs a semantics-preserving warp of the input image to enhance the visual dominance of the main subjects. Our method uses the tearable image warping method to shift the subjects against the background (and vice versa), so that their visual dominance is improved, and yet preserve the desired spatial semantics between the subjects and the background. The recomposition is guided by a measure of the resulting visual dominance of the main subjects. Our user experiment shows the effectiveness of the approach. Aligning Images in the Wild . Wen-Yan Lin, Linlin Liu, Yasuyuki Matsushita, Kok-Lim Low , and Siying Liu. IEEE International Conference on Computer Vision and Pattern Recognition 2012 (CVPR 2012). [ abstract ] [ Paper PDF 1,641KB ] Abstract: Aligning image pairs with significant appearance change is a long standing computer vision challenge. Much of this problem stems from the local patch descriptors instability to appearance variation. In this paper we suggest this instability is due less to descriptor corruption and more the difficulty in utilizing local information to canonically define the orientation (scale and rotation) at which a patchs descriptor should be computed. We address this issue by jointly estimating correspondence and relative patch orientation, within a hierarchical algorithm that utilizes a smoothly varying parameterization of geometric transformations. By collectively estimating the correspondence and orientation of all the features, we can align and orient features that cannot be stably matched with only local information. At the price of smoothing over motion discontinuities (due to independent motion or parallax), this approach can align image pairs that display significant inter-image appearance variations. Tearable Image Warping for Extreme Image Retargeting . Lai-Kuan Wong and Kok-Lim Low . 30th Computer Graphics International Conference 2012 (CGI 2012). [ abstract ] [ Paper PDF 6,981KB ] [ Video MP4 6,336KB ] Abstract: We introduce a new image geometric transformation, named tearable image warping, for content-aware image retargeting and recomposition. In tearable image warping, an object is allowed to partially detached from the background during warping, which allows the background to warp more freely without distorting the object. The part of the object that is still attached to the background ensures that spatial semantics between the object and its environment is preserved. Compared to traditional non-homogeneous image warping, tearable warping produces retargeted results with less severe distortions, especially in cases of extreme retargeting. Compared to scene carving, tearable warping can better preserve the global context and achieve better scene consistency by preserving the semantic connectedness between an object and its environment. In addition, tearable warping is also able to alter the object-background relationship within the image, which makes it quite suitable for aesthetics-based image recomposition. We also show that tearable image warping is a unified approach of traditional non-homogeneous image warping and the cut-and-paste techniques. Efficient Screen-Space Approach to High-Quality Multiscale Ambient Occlusion . Thai-Duong Hoang and Kok-Lim Low . The Visual Computer, 28(3): 289-304, 2012. [ abstract ] [ Paper PDF 8,500KB ] Abstract: We present a new screen-space ambient occlusion (SSAO) algorithm that improves on the state-of-the-art SSAO methods in both performance and quality. Our method computes ambient occlusion (AO) values at multiple image resolutions and combines them to obtain the final, high-resolution AO value for each image pixel. It produces high-quality AO that includes both high-frequency shadows due to nearby, occluding geometry and low-frequency shadows due to distant geometry. Our approach only needs to use very small sampling kernels at every resolution, thereby achieving high performance without resorting to random sampling. As a consequence, our results do not suffer from noise and excessive blur, which are common of other SSAO methods. Therefore, our method also avoid the expensive, final blur pass commonly used in other SSAO methods. The use of multiple resolutions also helps reduce errors that are caused by SSAOs inherent lack of visibility checking. Temporal incoherence caused by using coarse resolutions is solved with an optional temporal filtering pass. Our method produces results that are closer to ray-traced solutions than those of any existing SSAO methods, while running at similar or higher frame rates than the fastest ones. SandCanvas: A Multi-touch Art Medium Inspired by Sand Animation . Rubaiat Habib Kazi, Kien-Chuan Chua, Shengdong Zhao, Richard Davis and Kok-Lim Low . ACM Conference on Human Factors in Computing Systems 2011 (CHI 2011). (Honorable Mention Award). [ abstract ] [ Paper PDF 3,787KB ] [ Video MP4 44,958KB ] [ YouTube Video ] Abstract: Sand animation is a performance art technique in which an artist tells stories by creating animated images with sand. Inspired by this medium, we have developed a new multitouch digital artistic medium named SandCanvas that simplifies the creation of sand animations. SandCanvas also goes beyond traditional sand animation with tools for mixing sand animation with video and replicating recorded free-form hand gestures. In this paper, we analyze common sand animation hand gestures, present SandCanvass intuitive UI, and describe implementation challenges we encountered. We also present an evaluation with professional and novice artists that shows the importance and unique affordances of this new medium. Saliency Retargeting: An Approach to Enhance Image Aesthetics . Lai-Kuan Wong and Kok-Lim Low . IEEE Workshop on Applications of Computer Vision 2011 (WACV 2011). [ abstract ] [ Paper PDF 1,563KB ] Abstract: A photograph that has visually dominant subjects in general induces stronger aesthetic interest. Inspired by this, we have developed a new approach to enhance image aesthetics through saliency retargeting. Our method alters low-level image features of the objects in the photograph such that their computed saliency measurements in the modified image become consistent with the intended order of their visual importance. The goal of our approach is to produce an image that can redirect the viewers attention to the most important objects in the image, and thus making these objects the main subjects. Since many modified images can satisfy the same specified order of visual importance, we trained an aesthetics score prediction model to pick the one with the best aesthetics. Results from our user experiments support the effectiveness of our approach. Multi-Resolution Screen-Space Ambient Occlusion . Thai-Duong Hoang and Kok-Lim Low . 29th Computer Graphics International Conference 2011 (CGI 2011). [ abstract ] [ Paper PDF 7,027KB ] [ Slides PDF 1,240KB ] [ Code 6,775KB ] Abstract: We present a new screen-space ambient occlusion (SSAO) algorithm that improves on the state-of-the-art SSAO methods in both speed and image quality. Our method computes ambient occlusion (AO) for multiple image resolutions and combines them to obtain the final high-resolution AO. It produces high-quality AO that includes details from small local occluders to low-frequency occlusions from large faraway occluders. This approach allows us to use very small sampling kernels at every resolution, and thereby achieve high performance without resorting to random sampling, and therefore our results do not suffer from noise and excessive blur, which are common of SSAO. We use bilateral upsampling to interpolate lower-resolution occlusion values to prevent blockiness and occlusion leaks. Compared to existing SSAO methods, our method produces results closer to ray-traced solutions, while running at comparable or higher frame rates than the fastest SSAO method. Interactive Motion Deblurring Using Light Streaks . Binh-Son Hua and Kok-Lim Low . 16th IEEE International Conference on Image Processing 2011 (ICIP 2011). [ abstract ] [ Paper PDF 3,444KB ] Abstract: We propose a single-image, shift-invariant motion deblurring approach where the blur kernel is directly estimated from light streaks in the blurred image. Combining with the sparsity constraint, the blur kernel can be solved quickly and accurately from a user input region containing a light streak. This kernel can then be applied to state-of-the-art single-image motion deblurring methods to restore the sharp image. As our approach does not require verification of the blur kernel against the blurred image, the deblurring can be performed quickly enough for interactive use. For example, our method can be used for interactively revealing scene details in different image regions when the motion blur is not shift-invariant. Real-time CSG Rendering Using Fragment Sort . Bo Peng, Kok-Lim Low , and Thai-Duong Hoang. 17th ACM Symposium on Virtual Reality Software and Technology 2010 (VRST 2010). [ abstract ] [ Poster Paper PDF 658KB ] Abstract: We present a simple ray casting method to render a CSG product term. The primitives are input as polygon meshes. Our method uses the programmability on modern graphics hardware to capture at each pixel the depth values of all the primitives surfaces. By sorting these surface fragments in front-to-back order, we are able to find the CSG result at each pixel. Our method does not maintain additional fragment information, and deferred shading is used for the final rendering of the CSG result. Our method is general in that there is no special handling needed for intersection and subtraction operations, and non-convex primitives are treated equally as convex primitives. All previous CSG rendering algorithms may not produce correct CSG result if any of the primitives is not entirely between the near and far planes of the view frustum. This can be very inconvenient as large invisible primitives may prevent a close-up view of the CSG result. Our method can deal with this problem with a small extension. In case if the CSG result is intersected by the near plane, our method even produces solid cutaway views. Saliency-Enhanced Image Aesthetics Class Prediction . Lai-Kuan Wong and Kok-Lim Low . 16th IEEE International Conference on Image Processing (ICIP 2009), Cairo, Egypt, November 2009. [ abstract ] [ Paper PDF 338KB ] Abstract: We present a saliency-enhanced method for the classification of professional photos and snapshots. First, we extract the salient regions from an image by utilizing a visual saliency model. We assume that the salient regions contain the photo subject. Then, in addition to a set of discriminative global image features, we extract a set of salient features that characterize the subject and depict the subject-background relationship. Our high-level perceptual approach produces a promising 5-fold cross-validation (5-CV) classification accuracy of 78.8%, significantly higher than existing approaches that concentrate mainly on global features. Automatic Registration of Color Images to 3D Geometry . Yunzhen Li and Kok-Lim Low . 27th Computer Graphics International Conference (CGI 2009), Victoria, British Columbia, Canada, May 2009. [ abstract ] [ Paper PDF 4,582KB ] [ Slides PPT 1,680KB ] Abstract: We present an approach to automatically register a large set of color images to a 3D geometric model. The problem arises from the modeling of real-world environments, where surface geometry is acquired using range scanners whereas the color information is separately acquired using untracked and uncalibrated cameras. Our approach constructs a sparse 3D model from the color images using a multiview geometry technique. We project special light patterns onto the scene surfaces to increase the robustness of the multiview geometry reconstruction. The sparse model is then approximately aligned with the detailed model. Planes found in the detailed model are exploited to refine the registration. Finally, the registered color images are mapped to the detailed model using weighted blending, with careful consideration of occlusion and the preservation of image details. Fast Visualization of Complex 3D Models Using Displacement Mapping . The-Kiet Lu, Kok-Lim Low , and Jianmin Zheng. 35th Graphics Interface Conference (GI 2009), Kelowna, British Columbia, Canada, May 2009. [ abstract ] [ Paper PDF 2,015KB ] [ Slides PPT 4,747KB ] Abstract: We present a simple method to render complex 3D models at interactive rates using real-time displacement mapping. We use an octree to decompose the 3D model into a set of height fields and display the model by rendering the height fields using per-pixel displacement mapping. By simply rendering the faces of the octree voxels to produce fragments for ray-casting on the GPU, and with straightforward transformation of view rays to the displacement maps local space, our method is able to accurately render the objects silhouettes with very little special handling. The algorithm is especially suitable for fast visualization of high-detail point-based models, and models made up of unprocessed triangle meshes that come straight from range scanning. This is because our method requires much less preprocessing time compared to the traditional triangle-based rendering approach, which usually needs a large amount of computation to preprocess the input model into one that can be rendered more efficiently. Unlike the point-based rendering approach, the rendering efficiency of our method is not limited by the number of input points. Our method can achieve interactive rendering of models with more than 300 millions points on standard graphics hardware. Predetermination of ICP Registration Errors And Its Application to View Planning . Kok-Lim Low and Anselmo Lastra. 6th IEEE International Conference on 3-D Digital Imaging and Modeling (3DIM07), Montreal, Canada, August 2007. [ abstract ] [ Paper PDF 636KB ] Abstract: We present an analytical method to estimate the absolute registration error bounds if two surfaces were to be aligned using the ICP (Iterative Closest Point) algorithm. The estimation takes into account (1) the amount of overlap between the surfaces, (2) the noise in the surface points positions, and (3) the geometric constraint on the 3D rigid-body transformation between the two surfaces. Given a required confidence level, the method of estimation enables us to predetermine the registration accuracy of two overlapping surfaces. This is very useful for automated range acquisition planning where it is important to ensure that the next scan to be acquired can be registered to the previous scans within the desired accuracy. We demonstrate a view-planning system that incorporates our estimation method in the selection of good candidate views for the range acquisition of indoor environments. An Adaptive Hierarchical Next-Best-View Algorithm for 3D Reconstruction of Indoor Scenes . Kok-Lim Low and Anselmo Lastra. 14th Pacific Conference on Computer Graphics and Applications (Pacific Graphics 2006), Taipei, Taiwan, October 2006. [ abstract ] [ Paper PDF 756KB ] Abstract: We present a new and efficient next-best-view algorithm for 3D reconstruction of indoor scenes using active range sensing. To evaluate each view, we have formulated a general view metric that can include many real-world acquisition constraints and quality requirements on the resulting 3D model. We overcome the computation difficulty of evaluating this function by using an adaptive hierarchical approach to exploit the various spatial coherences inherent in the acquisition constraints and quality requirements. Experimental results show large speedups over the straightforward method used by many previous algorithms. The approach allows us to compute with a highly-detailed partial scene model and to exhaustively sample the entire 3D view space at high resolution. Our hierarchical view evaluation algorithm can also take into account each views sensitivity to the potential scanner positioning errors. We have also developed a metric to estimate whether the scan to be acquired from each candidate view can be accurately registered to the previous scans. Efficient Constraint Evaluation Algorithms for Hierarchical Next-Best-View Planning . Kok-Lim Low and Anselmo Lastra. 3rd Symposium on 3D Data Processing, Visualization and Transmission (3DPVT 2006), Chapel Hill, North Carolina, U.S.A., June 2006. [ abstract ] [ Paper PDF 567KB ] Abstract: We recently proposed a new and efficient next-best-view algorithm for 3D reconstruction of indoor scenes using active range sensing. We overcome the computation difficulty of evaluating the view metric function by using an adaptive hierarchical approach to exploit the various spatial coherences inherent in the acquisition constraints and quality requirements. The impressive speedups have allowed our NBV algorithm to become the first to be able to exhaustively evaluate a large set of 3D views with respect to a large set of surfaces, and to include many practical acquisition constraints and quality requirements. The success of the algorithm is greatly dependent on the implementation efficiency of the constraint and quality evaluations. In this paper, we describe the algorithmic details of the hierarchical view evaluation, and present efficient algorithms that evaluate sensing constraints and surface sampling densities between a view volume and a surface patch instead of simply between a single view point and a surface point. The presentation here provides examples for the design of efficient algorithms for new sensing constraints. Immersive Electronic Books for Surgical Training . Greg Welch, Ruigang Yang, Sascha Becker, Adrian Ilie, Dan Russo, Jesse Funaro, Andrei State, Kok-Lim Low , Anselmo Lastra, Herman Towles, Bruce Cairns, M.D., Henry Fuchs, and Andy van Dam. IEEE Multimedia, 12(3):2235, JulySeptember 2005. [ abstract ] [ Paper PDF 2,829KB ] Abstract: Immersive electronic books (IEBooks) for surgical training will let surgeons explore previous surgical procedures in 3D. The authors describe the techniques and tools for creating a preliminary IEBook embodying some of the basic concepts. Automatic Image Alignment for 3D Environment Modeling . Nathaniel Williams, Kok-Lim Low , Chad Hantak, Marc Pollefeys and Anselmo Lastra. 17th ACM Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI04), pp. 388395, Curitiba, Brazil, October 2004. [ abstract ] [ Paper PDF 354KB ] Abstract: We describe an approach for automatically registering color images with 3D laser scanned models. We use the chi-square statistic to compare color images to polygonal models texture mapped with acquired laser reflectance values. In complicated scenes we find that the chi-square test is not robust enough to permit an automatic global registration approach. Therefore, we introduce two techniques for obtaining initial pose estimates that correspond to a coarse alignment of the data. The first method is based on rigidly attaching a camera to a laser scanner and the second utilizes object tracking to decouple these imaging devices. The pose estimates serve as an initial guess for our optimization method, which maximizes the chi-square statistic over a local space of transformations in order to automatically determine the proper alignment. Combining Head-Mounted and Projector-Based Displays for Surgical Training . Adrian Ilie, Kok-Lim Low , Greg Welch, Anselmo Lastra, Henry Fuchs, and Bruce Cairns. Presence: Teleoperators and Virtual Environments, 13(2):128145, April 2004. [ abstract ] Abstract: We introduce and present preliminary results for a hybrid display system combining head mounted and projector-based displays. Our world is motivated by a surgical training application where it is necessary to simultaneously provide both a high-fidelity view of a central close up task (the surgery) and visual awareness of objects and events in the surrounding environment. In this article, we motivate the use of a hybrid display system, discuss previous work, describe a prototype along with methods for geometric calibration, and present results from a controlled human subject experiment.This article is an invited resubmission of work presented at IEEE Virtual Reality 2003. The article has been updated and expanded to include (among other things) additional related work and more details about the calibration process. Monticello Through the Window . Nathaniel William, Chad Hantak, Kok-Lim Low , John Thomas, Kurtis Keller, Lars Nyland, David Luebke, and Anselmo Lastra. 4th International Symposium on Virtual Reality, Archaeology and Intelligent Cultural Heritage 2003 (VAST03), Brighton, U.K., November 2003. [ abstract ] [ Paper PDF 1,858KB ] [ UNC website , UVA website ] Abstract: We present a case study in the use of virtual environment technology for cultural heritage applications, describing a collaborative effort to construct two cultural heritage exhibits for a five month exhibition at the New Orleans Museum of Art. To illustrate the factors that shape museum exhibit design, we explore the initial conceptual phase and discuss our reasons for choosing certain designs. We describe the two exhibits that we built in turn, focusing on equipment and on robustness. Although little went awry during the exhibition, we explain how certain equipment did fail and how we had prepared for such crises by keeping spare equipment on-site. Finally, we report on the success of the undertaking and close with some thoughts and advice for researchers attempting similar museum-oriented projects. Reliable and Rapidly-Converging ICP Algorithm Using Multiresolution Smoothing . Kok-Lim Low and Anselmo Lastra. 4th IEEE International Conference on 3-D Digital Imaging and Modeling (3DIM03), pp. 171178, Banff, Canada, October 2003. [ abstract ] [ Paper PDF 757KB ] Abstract: Autonomous range acquisition for 3D modeling requires reliable range registration, for both the precise localization of the sensor and combining the data from multiple scans for view-planning computation. We introduce and present a novel approach to improve the reliability and robustness of the ICP (Iterative Closest Point) 3D shape registration algorithm by smoothing the shapes surface into multiple resolutions. These smoothed surfaces are used in place of the original surface in a coarse-to-fine manner during registration, which allows the algorithm to avoid being trapped at local minima close to the global optimal solution. We used the technique of multiresolution analysis to create the smoothed surfaces efficiently. Besides being more robust, convergence is generally much faster, especially when combined with the point-to-plane error metric of Chen and Medioni. Since the point-to-plane error metric has no closed-form solution, solving it can be slow. We introduce a variant of the ICP algorithm that has convergence rate close to it but still uses the closed-form solution techniques (SVD or unit quaternion methods) of the original ICP algorithm. Combining Head-Mounted and Projector-Based Displays for Surgical Training . Kok-Lim Low , Adrian Ilie, Greg Welch and Anselmo Lastra. IEEE Virtual Reality Conference 2003 (VR03), pp. 110117, Los Angeles, U.S.A., March 2003. [ abstract ] [ Paper PDF 413KB ] Abstract: We introduce and present preliminary results for a hybrid display system combining head-mounted and projector-based displays. Our work is motivated by a surgical training application, where it is necessary to simultaneously provide both a high-fidelity view of a central close-up task (the surgery) and visual awareness of objects and events in the surrounding environment. In particular, for trauma surgeons it would be valuable to learn to work in an environment that is realistically filled with both necessary and distracting objects and events. In this paper, we motivate the use of a hybrid display system, discuss previous work, describe a prototype along with methods for geometric calibration, and present results from a controlled human subject experiment. Computing a View Frustum to Maximize An Object's Image Area . Kok-Lim Low and Adrian Ilie. ACM Journal of Graphics Tools (JGT), 8(1):315, 2003. [ abstract ] [ Paper PDF 429KB ] [ JGT website and source code ] Also in "Graphics Tools: The JGT Editors' Choice" , Ronen Barzel (Editor), AK Peters, 2005. ISBN: 1568812469. Abstract: This paper presents a method to compute a view frustum for a 3D object viewed from a given viewpoint, such that the object is completely enclosed in the frustum and the objects image area is also near-maximal in the given 2D rectangular viewing region. This optimization can be used to improve the resolution of shadow maps and texture maps for projective texture mapping. Instead of doing the optimization in 3D space to find a good view frustum, our method uses a 2D approach. The basic idea of our approach is as follows. First, from the given viewpoint, a conveniently-computed view frustum is used to project the 3D vertices of the object to their corresponding 2D image points. A tight 2D bounding quadrilateral is then computed to enclose these 2D image points. Next, considering the projective warp between the bounding quadrilateral and the rectangular viewing region, our method applies a technique of camera calibration to compute a new view frustum that generates an image that covers the viewing region as much as possible. Immersive Electronic Books for Teaching Surgical Procedures . Andries van Dam, Henry Fuchs, Sascha Becker, Loring Holden, Adrian Ilie, Kok-Lim Low , Anne Morgan Spalter, Ruigang Yang, and Greg Welch. Pre-ICAT CREST Symposium on Telecommunication, Teleimmersion, and Telexistence, Tokyo, Japan, December 2002. [ abstract ] [ Paper PDF 708KB ] [ Website ] Abstract: This paper reports on early progress with the use of immersive virtual reality technology for trauma surgery training. We discuss our technical goals and the application area, and then describe our work to date. The need to create a system that can be used by overworked, highly time-constrained surgeons and surgical trainees has affected many of our decisions, from the type of displays used to the focus on time navigation (to let trainees experience important moments and skip well-understood ones) to the use of easily-learned traditional 2D interfaces (vs. more demanding innovative 3D interfaces) for some of the interaction methods. This three-year research project, which is just entering its second year, is supported by a National Science Foundation Information Technology Research grant for collaborative research between groups at Brown University and the University of North Carolina at Chapel Hill. Blending Multiple Views . Ramesh Raskar and Kok-Lim Low . 10th Pacific Conference on Computer Graphics and Applications (Pacific Graphics 2002), pp. 145153, Beijing, China, October 2002. [ abstract ] [ Paper PDF 550KB ] Abstract: Current blending methods in image-based rendering use local information such as "deviations from the closest views" to find blending weights. They include approaches such as view-dependent texture mapping and blending fields used in unstructured lumigraph rendering. However, in the presence of depth discontinuities, these techniques do not provide smooth transitions in the target image if the intensities of corresponding pixels in the source images are significantly different (e.g. due to specular highlights). In this paper, we present an image blending technique that allows the use of global visibility and occlusion constraints. Each blending weight now has a global component and a local component, which, respectively, are due to the view-independent and the view-dependent contributions of the source images. Being view-independent, the global components can be computed in a pre-processing stage. Traditional graphics hardware is exploited to accelerate the computation of the global blending weights. Life-Sized Projector-Based Dioramas . Kok-Lim Low , Greg Welch, Anselmo Lastra and Henry Fuchs. ACM Symposium on Virtual Reality Software and Technology 2001 (VRST01), pp. 93-101, Banff, Canada, November 2001. [ abstract ] [ Paper PDF 527KB ] [ Website ] Also in "Spatial Augmented Reality: Merging Real and Virtual Worlds" , Oliver Bimber and Ramesh Raskar, AK Peters, 2005. ISBN: 1568812302. Abstract: We introduce an idea and some preliminary results for a new projector-based approach to re-creating real and imagined sites. Our goal is to achieve re-creations that are both visually and spatially realistic, providing a small number of relatively unencumbered users with a strong sense of immersion as they jointly walk around the virtual site. Rather than using head-mounted or general-purpose projector-based displays, our idea builds on previous projector-based work on spatially-augmented reality and shader lamps. Using simple white building blocks we construct a static physical model that approximates the size, shape, and spatial arrangement of the site. We then project dynamic imagery onto the blocks, transforming the lifeless physical model into a visually faithful reproduction of the actual site. Some advantages of this approach include wide field-of-view imagery, real walking around the site, reduced sensitivity to tracking errors, reduced sensitivity to system latency, auto-stereoscopic vision, the natural addition of augmented virtuality and the provision of haptics. In addition to describing the major challenges to (and limitations of) this vision, in this paper we describe some short-term solutions and practical methods, and we present some proof-of-concept results. Interacting with Spatially Augmented Reality . Ramesh Raskar and Kok-Lim Low . 1st ACM International Conference on Computer Graphics, Virtual Reality, Visualisation and Interaction in Africa (AFRIGRAPH01), pp. 101108, Cape Town, South Africa, November 2001. [ abstract ] [ Paper PDF 645KB ] Also in "Spatial Augmented Reality: Merging Real and Virtual Worlds" , Oliver Bimber and Ramesh Raskar, AK Peters, 2005. ISBN: 1568812302. Abstract: Traditional user interfaces for off-the-desktop applications are designed to display the output on flat 2D surfaces while the input is with 2D or 3D devices. In this paper, we focus on projector-based augmented reality applications. We describe a framework to easily incorporate the interaction on a continuum of display surfaces and input devices. We first create a 3D understanding of the relationship between the user, the projectors and the display surfaces. Then we use some new calibration and rendering techniques to create a simple procedure to effectively illuminate the surfaces. We describe various underlying techniques and discuss the results in the context of three different applications. Shader Lamps: Animating Real Objects with Image-Based Illumination . Ramesh Raskar, Greg Welch, Kok-Lim Low and Deepak Bandyopadhyay. 12th Eurographics Workshop on Rendering Techniques (EGWR01), pp. 89102, London, U.K., June 2001. [ abstract ] [ Paper PDF 555KB ] [ Website1 , Website2 ] Also in "Spatial Augmented Reality: Merging Real and Virtual Worlds" , Oliver Bimber and Ramesh Raskar, AK Peters, 2005. ISBN: 1568812302. Abstract: We describe a new paradigm for three-dimensional computer graphics, using projectors to graphically animate physical objects in the real world. The idea is to replace a physical objectwith its inherent color, texture, and material propertieswith a neutral object and projected imagery, reproducing the original (or alternative) appearance directly on the object. Because the approach is to effectively "lift" the visual properties of the object into the projector, we call the projectors shader lamps. We address the central issue of complete and continuous illumination of non-trivial physical objects using multiple projectors and present a set of new techniques that makes the process of illumination practical. We demonstrate the viability of these techniques through a variety of table-top applications, and describe preliminary results to reproduce life-sized virtual spaces. Computing Bounding Volume Hierarchies Using Model Simplification . Tiow-Seng Tan, Ket-Fah Chong and Kok-Lim Low . ACM Symposium on Interactive 3D Graphics (I3DG99), pp. 6369, Atlanta, U.S.A., April 1999. [ abstract ] [ Paper PDF 315KB ] Abstract: This paper presents a framework that uses the outputs of model simplification to guide the construction of bounding volume hierarchies for use in, for example, collision detection. Simplified models, besides their application to multiresolution rendering, can provide clues to the objects shape. These clues help in the partitioning of the objects model into components that may be more tightly bounded by simple bounding volumes. The framework naturally employs both the bottom-up and the top-down approaches of hierarchy building, and thus can have the advantages of both approaches. Experimental results show that our method built on top of the framework can indeed improve the bounding volume hierarchy, and as a result, significantly speedup the collision detection. Model Simplification Using Vertex-Clustering . Kok-Lim Low and Tiow-Seng Tan. ACM Symposium on Interactive 3D Graphics (I3DG97), pp. 7581, Providence, Rhode Island, U.S.A., April 1997. [ abstract ] [ Paper PDF 358KB ] Also in "Level of Detail for 3D Graphics" , David Luebke et al., Morgan Kaufmann, 2002. ISBN: 1558608389. Abstract: This paper presents a practical technique to automatically compute approximations of polygonal representations of 3D objects. It is based on a previously developed model simplification technique which applies vertex-clustering. Major advantages of the vertex-clustering technique are its low computational cost and high data reduction rate, and thus suitable for use in interactive applications. This paper advances the technique with careful consideration of approximation quality and smoothness in transitions between different levels of simplification, while maintaining its efficiency and effectiveness. Its major contributions include: accuracy in grading vertices for indication of their visual importance, robustness in clustering for better preservation of important features and consistencies between levels of simplification, thick-lines with dynamic normals to maximize visual fidelity, and exploitation of object and image space relationship for levels-of-simplification determination. Ph.D. Dissertation [ show | hide all abstracts] View Planning for Range Acquisition of Indoor Environments . Kok-Lim Low . Doctor of Philosophy Dissertation, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States, 2006. [ abstract ] [ PDF 3,642KB ] Abstract: This dissertation presents a new and efficient next-best-view algorithm for 3D reconstruction of indoor environments using active range sensing. A major challenge in range acquisition for 3D reconstruction is an efficient automated view planning algorithm to determine a sequence of scanning locations or views such that a set of acquisition constraints and requirements is satisfied and the object or environment of interest can be satisfactorily reconstructed. Due to the intractability of the view planning problem and the lack of global geometric information, a greedy approach is adopted to approximate the solution. A practical view metric is formulated to include many real-world acquisition constraints and reconstruction quality requirements. This view metric is flexible to allow trade-offs between different requirements of the reconstruction quality. A major contribution of this work is the application of a hierarchical approach to greatly accelerate the evaluation of the view metric for a large set of views. This is achieved by exploiting the various spatial coherences in the acquisition constraints and reconstruction quality requirements when evaluating the view metric. The hierarchical view evaluation algorithm is implemented in a view planning system targeted for the acquisition of indoor environments using a monostatic range scanner with 3D pose. The results show great speedups over the straightforward method used in many previous algorithms. The view planning system has also been shown to be robust for real-world application. The dissertation also describes how the view metric can be generalized to incorporate general acquisition constraints and requirements, and how the hierarchical view evaluation algorithm can be generalized to scanners with general pose, and to scanners with bistatic sensors. A simple extension is also proposed to enable the hierarchical view evaluation algorithm to take into account each views sensitivity to the potential pose errors in the physical positioning of the scanner. A computed new view must produce a range image that can be accurately registered to the previous scans. In this work, a metric is developed to estimate the registration accuracy of the views. This metric considers the amount of overlap, the range measurement errors, and the shape complexity of the surfaces. TECHNICAL REPORTS [ show | hide all abstracts] Some Conditions for Accurate Surface Registration . Kok-Lim Low . Technical Report TR05-008, Department of Computer Science, University of North Carolina at Chapel Hill, April 2005. [ abstract ] [ PDF 157KB ] Abstract: In this technical report, we derive some conditions that allow the ICP (Iterative Closest Point) surface registration algorithm to attain some absolute accuracy when aligning two surfaces. Linear Least-Squares Optimization for Point-to-Plane ICP Surface Registration . Kok-Lim Low . Technical Report TR04-004, Department of Computer Science, University of North Carolina at Chapel Hill, February 2004. [ abstract ] [ PDF 73KB ] Abstract: The Iterative Closest Point (ICP) algorithm that uses the point-to-plane error metric has been shown to converge much faster than one that uses the point-to-point error metric. At each iteration of the ICP algorithm, the change of relative pose that gives the minimal point-to-plane error is usually solved using standard nonlinear least-squares methods, which are often very slow. Fortunately, when the relative orientation between the two input surfaces is small, we can approximate the nonlinear optimization problem with a linear least-squares one that can be solved more efficiently. We detail the derivation of a linear system whose least-squares solution is a good approximation to that obtained from a nonlinear optimization. Calibrating The Hiball Wand . Kok-Lim Low . Technical Report TR02-018, Department of Computer Science, University of North Carolina at Chapel Hill, April 2002. [ abstract ] [ PDF 64KB ] Introduction: The HiBall wand is an elongated hard plastic that can be attached rigidly to the bottom of a HiBall. The other end of the wand is a moderately-sharp metal tip. In the HMD Lab at UNC-Chapel Hill, it is a convenient device for measuring the 3D position of any point in a space where the HiBall can be tracked by an optical ceiling tracker. . . . To use the tip of the wand to measure the 3D position of a point with respect to the ceiling coordinate frame, we first need to know the tip's 3D position in the HiBall's local coordinate frame. If the tip's position in the HiBall coordinate frame is known, we can always use the HiBall's current pose in the ceiling coordinate frame to express the tips position with respect to the ceiling coordinate frame. This article explains a method to calibrate the wandto find the tips position in the HiBall coordinate frame. Viewpoint Calibration With Respect To A Tracker . Kok-Lim Low . Technical Report TR02-019, Department of Computer Science, University of North Carolina at Chapel Hill, April 2002. [ abstract ] [ PDF 72KB ] Introduction: In many virtual reality (VR) and augmented reality (AR) applications, view-dependent images of the virtual worlds are often displayed for the users. These images can be displayed on computer monitors, head-mounted displays, or projected by projectors onto some surfaces. In order to produce perspective-correct images as viewed by a user, the positions of the users eyes must be known when generating the images. A way to get the positions of the eyes (viewpoints) is to use a tracking device. . . . This article explains a method to calibrate the viewpoints with respect to a trackerto find the eyes positions in the target coordinate frame. Perspective-Correct Interpolation . Kok-Lim Low . Technical writing, March 2002. [ abstract ] [ PDF 78KB ] Introduction: We will derive (and prove) a method to achieve perspective-correct interpolation by linear interpolation in the screen space. During rasterization of linear graphics primitives, such as lines and polygons, straightforward screen-space linear interpolation of vertex attributes generally does not produce perspective correct results. . . . In spite of this, it is still possible to obtain perspective correct results by linearly interpolating in the screen space. This can be done by interpolating the values of some functions of the attributes, instead of interpolating the attributes directly. Each interpolated result is then transformed by another function (the inverse function) to get the final attribute value at the desired point in the screen space. You will see that these functions make use of the z-values of the vertices. Simulated 3D Painting . Kok-Lim Low . Technical Report TR01-022, Department of Computer Science, University of North Carolina at Chapel Hill, June 2001. [ abstract ] [ PDF 364KB ] Abstract: This paper looks at the motivation for simulating painting directly on 3D objects, and investigates the main issues faced by such systems. These issues include the provision of natural user interfaces, the reproduction of realistic brush effects and the surface parameterization for texture mapping so that the results of the painting can be stored on texture maps. The paper further investigates the issues involved in using a haptic interface for simulating 3D painting, and the issues in surface parameterization for texture mapping with application to 3D painting. A survey of some work related to 3D painting, haptic rendering and surface parameterization for texture mapping is presented. PATENTS [ show | hide all abstracts] 4 System and Method for Animating Real Objects with Projected Images . Gregory F. Welch, Kok-Lim Low , Ramesh Raskar. U.S. Patent #7,068,274, June 27, 2006. 3 System and Method for Registering Multiple Images with Three-Dimensional Objects . Ramesh Raskar, Gregory F. Welch, and Kok-Lim Low . U.S. Patent #6,930,681, August 16, 2005. 2 System and Method for Creating Bounding Volume Hierarchies Utilizing Model Simplification . Tan Tiow Seng, Chong Ket Fah, and Low Kok Lim . U.S. Patent #6,747,651, June 8, 2004. 1 Method for Cross-Fading Intensities of Multiple Images of a Scene for Seamless Reconstruction . Ramesh Raskar, Gregory F. Welch, and Kok-Lim Low . U.S. Patent #6,677,956, January 13, 2004. Last updated on Saturday, February 1, 2014 09:49:00 PM . Access statistics diff --git a/src/data/compiled_bios/1411.txt b/src/data/compiled_bios/1411.txt new file mode 100644 index 0000000000..62bd0d53a8 --- /dev/null +++ b/src/data/compiled_bios/1411.txt @@ -0,0 +1 @@ + Richard T. B. Ma About Me Curriculum Vitae Research Teaching Students About Me I am an Assistant Professor in School of Computing , National University of Singapore and a Research Scientist at Advanced Digital Science Center , University of Illinois . My current research interests include: Economics and Evolution of the Internet Big Data Analytics and Cloud Computing I received my Ph.D. degree from Columbia University , where I was affiliated with Distributed Network Analysis (DNA) Research Group . During My Ph.D. study, I worked as a Research Intern at IBM T.J. Watson Research Center in New York and Telefonica Research in Barcelona. I received my Mphil. and BSc.(first-class honors) degrees in Computer Science & Engineering from the Chinese University of Hong Kong , where I was affiliated with Advanced Networking & System Research Group . My Contact Address: 15 Computing Drive, COM2 Building, #04-27, S(117418) Phone: +65 6516-4244 Email: tbma at comp.nus.edu.sg diff --git a/src/data/compiled_bios/1412.txt b/src/data/compiled_bios/1412.txt new file mode 100644 index 0000000000..14c56e0a42 --- /dev/null +++ b/src/data/compiled_bios/1412.txt @@ -0,0 +1 @@ + Toggle navigation Kuldeep Meel Home CV Publications Software Collaborators Kuldeep S. Meel Sung Kah Kay Assistant Professor Affiliate, Institute of Data Science Computer Science Department, School of Computing National University of Singapore meel@comp.nus.edu.sg Please consult my calendar before suggesting a meeting time. Research Group Website Research Interests Students Teaching Awards & Honors Selected Publications Service News Short Bio Kuldeep Meel is an Assistant Professor in the Computer Science Department of School of Computing at National University of Singapore, where he holds Sung Kah Kay Assistant Professorship . The broader goal of his research is to advance artificial intelligence techniques, which utilize ubiquity of data and formal methods, to enable computing to deal with increasingly uncertain real-world environments. Open Positions Looking for candidates with strong background in CS/Mathematics/Physics for post-doc for the project: Beyond NP Revolution. Read advertisement for more details. Two post-doc positions available in the broad area of applying machine learning to SAT solvers, approximate counting techniques, and CP. Read advertisement for more details. We are always looking for highly motivated Ph.D. students, research assistants with time commitment of at least 6 months and summer internship for exceptional undergraduate interns in our group. Read this before sending me an email. [top] Research Interests Constrained Sampling and Counting Overview Paper Tutorial Slides Tutorial Video Artificial Intelligence Formal Methods for Verification of AI Systems Interpretable and Explainable Models [top] Students & Postdocs Bishwamittra Ghosh, PhD Student (since: Spring 2018) Yash Pote, PhD Student (since: Spring 2019) Priyanka Golia, PhD Student@IITK (since: Fall 2018), co-advised with Subhajit Roy (IITK) Lorenzo Ciampiconi, MS@Politecnico di Milano (expected: May 2019) Rahul Gupta, BTech+MTech@IITK (expected: May 2019) , co-advised with Subhajit Roy (IITK) Shubham Sharma, BTech+MTech@IITK (expected: May 2019), co-advised with Subhajit Roy (IITK) Mohimenul Kabir, Research Assistant (since: September 2018) Himanshu Arora, Research Assistant (since: Feb 2019) Do Andre Khoi Nguyen, Undergraduate Researcher (since: May 2018) Yang Suwei, Undergraduate Researcher (since: July 2018) Alumni Alexis de Colnet, MComp@NUS (Graduated: Dec 2018) Dr. Mate Soos, Research Fellow (March 2018 -- June 2018) Bhavishya, Summer Intern (May 2018 - July 2018) [top] Teaching CS 6283: Advanced Topics in Computer Science: Logic in AI CS4244: Knowledge-Based Systems (Spring 2018), (co-taught with Dr. Henry Chia ) [top] Awards and Honors Sung Kah Kay Assistant Professorship 2018 Ralph Budd Award for research in Engineering. This award, established in 1935, is given annually for the best doctoral thesis in the School of Engineering. Honorable mention for 2018 ACP Doctoral Dissertation Award Lodieska Stockbridge Vaughn Fellowship (2016-17) , awarded to upto five students university wide whose record at Rice shows evidence of outstanding achievement and promise. 2014 Outstanding Masters Thesis Award from the Vienna Center for Logic and Algorithms Best Student Paper Award , 21st International Conference on Principles and Practice of Constraint Programming (CP-2015) IBM PhD Fellowship (2016-17) Andrew Ladd Memorial Excellence in Computer Science Fellowship (2013-14) Heidelberg Laureate Forum 2015 Invitee [top] Selected Publications Google Scholar 1 BIRD: Engineering an Efficient CNF-XOR SAT Solver and its Applications to Approximate Model Counting Mate Soos and Kuldeep S. Meel Proceedings of AAAI Conference on Artificial Intelligence (AAAI), 2019 . Abstract Given a Boolean formula F, the problem of model counting, also referred to as #SAT is to compute the number of solutions of F. Model counting is a fundamental problem in artificial intelligence with a wide range of applications including probabilistic reasoning, decision making under uncertainty, quantified information flow, and the like. Motivated by the success of SAT solvers, there has been surge of interest in the design of hashing-based techniques for approximate model counting for the past decade. We profiled the state of the art approximate model counter ApproxMC3 and observed that over 99.99% of time is consumed by the underlying SAT solver, CryptoMinisat. This observation motivated us to ask: Can we design an efficient underlying CNF-XOR SAT solver that can take advantage of the structure of hashing-based algorithms and would this lead to an efficient approximate model counter? The primary contribution of this paper is an affirmative answer to the above question. We present a novel architecture, called BIRD, to handle CNF-XOR formulas arising from hashing-based techniques. The resulting hashing-based approximate model counter, called ApproxMC3, employs the BIRD framework in its underlying SAT solver, CryptoMinisat. To the best of our knowledge, we conducted the most comprehensive study of evaluation performance of counting algorithms involving 1896 benchmarks with computational effort totaling 86400 computational hours. Our experimental evaluation demonstrates significant runtime performance improvement for ApproxMC3 over ApproMC2. In particular, we solve 648 benchmarks more than ApproMC2, the state of the art approximate model counter and for all the formulas where both ApproMC2 and ApproxMC3 did not timeout and took more than 1 seconds, the mean speedup is 284.40 -- more than two orders of magnitude. BibTex PDF Code 2 Not All FPRASs are Equal: Demystifying FPRASs for DNF-Counting Kuldeep S. Meel, Aditya A. Shrotri, and Moshe Y. Vardi Proceedings of International Conference on Constraint Programming (CP), 2018 . Invited to Constraints journal Abstract The problem of counting the number of solutions of a DNF formula, also called #DNF, is a fundamental problem in artificial intelligence with applications in diverse domains ranging from network reliability to probabilistic databases. Owing to the intractability of the exact variant, efforts have focused on the design of approximate techniques for #DNF. Consequently, several Fully Polynomial Randomized Approximation Schemes (FPRASs) based on Monte Carlo techniques have been proposed. Recently, it was discovered that hashing-based techniques too lend themselves to FPRASs for #DNF. Despite significant improvements, the complexity of the hashing-based FPRAS is still worse than that of the best Monte Carlo FPRAS by polylog factors. Two questions were left unanswered in previous works: Can the complexity of the hashing-based techniques be improved? How do the various approaches stack up against each other empirically? In this paper, we first propose a new search procedure for the hashing-based FPRAS that removes the polylog factors from its time complexity. We then present the first empirical study of runtime behavior of different FPRASs for #DNF. The result of our study produces a nuanced picture. First of all, we observe that there is no single best algorithm that outperforms all others for all classes of formulas and input parameters. Second, we observe that the algorithm with the worst time complexity, solves the largest number of benchmarks. BibTex PDF 3 Algorithmic Improvements in Approximate Counting for Probabilistic Inference: From Linear to Logarithmic SAT Calls Supratik Chakraborty, Kuldeep S. Meel, and Moshe Y. Vardi Proceedings of International Joint Conference on Artificial Intelligence (IJCAI), 2016 . Abstract Probabilistic inference via model counting has emerged as a scalable technique with strong formal guarantees, thanks to recent advances in hashing-based approximate counting. State-of-the-art hashing-based counting algorithms use an {\NP} oracle, such that the number of oracle invocations grows linearly in the number of variables n in the input constraint. We present a new approach to hashing-based approximate model counting in which the number of oracle invocations grows logarithmically in $n$, while still providing strong theoretical guarantees. Our experiments show that the new approach outperforms state-of-the-art techniques for approximate counting by 1-2 orders of magnitude in running time. PDF Code 4 On Computing Minimal Independent Support and Its Applications to Sampling and Counting Alexander Ivrii, Sharad Malik, Kuldeep S. Meel, and Moshe Y. Vardi Proceedings of International Conference on Constraint Programming (CP), 2015 . Best Student Paper Award Abstract Constrained sampling and counting are two fundamental problems arising in domains ranging from artificial intelligence and security, to hardware and software testing. Recent approaches to approximate solutions for these problems rely on employing SAT solvers and universal hash functions that are typically encoded as XOR constraints of length n/2 for an input formula with n variables. As the runtime performance of SAT solvers heavily depends on the length of XOR constraints, recent research effort has been focused on reduction of length of XOR constraints. Consequently, a notion of Independent Support was proposed, and it was shown that constructing XORs over independent support (if known) can lead to a significant reduction in the length of XOR constraints without losing the theoretical guarantees of sampling and counting algorithms. In this paper, we present the first algorithmic procedure (and a corresponding tool, called MIS) to determine minimal independent support for a given CNF formula by employing a reduction to group minimal unsatisfiable subsets (GMUS). By utilizing minimal independent supports computed by MIS, we provide new tighter bounds on the length of XOR constraints for constrained counting and sampling. Furthermore, the universal hash functions constructed from independent supports computed by MIS provide two to three orders of magnitude performance improvement in state-of-the-art constrained sampling and counting tools, while still retaining theoretical guarantees. PDF Code 5 Distribution-Aware Sampling and Weighted Model Counting for SAT Supratik Chakraborty, Daniel J. Fremont, Kuldeep S. Meel, Sanjit A. Seshia, and Moshe Y. Vardi Proceedings of AAAI Conference on Artificial Intelligence (AAAI), 2014 . Abstract Given a CNF formula and a weight for each assignment of values to variables, two natural problems are weighted model counting and distribution-aware sampling of satisfying assignments. Both problems have a wide variety of important applications. Due to the inherent complexity of the exact versions of the problems, interest has focused on solving them approximately. Prior work in this area scaled only to small problems in practice, or failed to provide strong theoretical guarantees, or employed a computationally-expensive maximum a posteriori probability (MAP) oracle that assumes prior knowledge of a factored representation of the weight distribution. We present a novel approach that works with a black-box oracle for weights of assignments and requires only an {\NP}-oracle (in practice, a SAT-solver) to solve both the counting and sampling problems. Our approach works under mild assumptions on the distribution of weights of satisfying assignments, provides strong theoretical guarantees, and scales to problems involving several thousand variables. We also show that the assumptions can be significantly relaxed while improving computational efficiency if a factored representation of the weights is known. PDF Code Full list of publications is available here [top] Service Organizer: 1st Workshop on Probabilistic Reasoning and Formal Methods . Co-organized with S. Akshay (IIT Bombay) Committee Member: The Committee on Probability and Statistics in the Physical Sciences, C(PS)^2 (2018-20) Program Committee: IJCAI 2019, SAT 2019, AIES 2019, AAAI 2019, CoDS-COMAD 2019, IJCAI 2018, AAAI 2018, CP 2018, FAW 2018, CP 2017, CAV-16 Artifact Evaluation Reviewer: CACM (2014, 2018), Artificial Intelligence (2018), JAIR (2018,2019), Algorithms (2018), ACM TOPLAS (2017), IJCAR (2018), NFM (2018), SAT (2017, 2016) TACAS 2017, CAV 2015, FoSSaCS 2015, DAC 2014 Part of 12 member AAAI 2015 Futures Focus Group tasked with creation of vision for AAAI [top] News 11 February 2019 Honored to be appointed Visiting Assistant Professor in the Department of Computer Science and Engineering at IIT Bombay 02 February 2019 Our paper on network reliability is accepted to The 13th International Conference on Applications of Statistics and Probability in Civil Engineering 26 January 2019 Our paper on weighted and project sampling is accepted at TACAS 2019 . Congratulations Rahul and Shubham. 22 January 2019 Attending AAAI 2019 and AIES 2019 next week. Our group has four papers (3 at AAAI to be presented on Jan 30 and 31; the paper at AIES will be presented on Jan 27). All news Kuldeep Meel: The New CS Professor Kuldeep Meel: High-Risk, High-Reward Research [top] Recruitment I am looking for highly motivated Ph.D. students and interns (with time commitment of at least 6 months) in our group. If you are a student at NUS, feel free to drop by my office or schedule a meeting with me. (See my calendar ). Otherwise, please send me an email with your CV if you are interested. Make sure your subject contains the word "olleh" and you should include reviews of two of the papers published in the previous 3 years at AAAI/IJCAI/CP/SAT/CAV conferences. The reviews should be in the body of the email (and not as pdf). Furthermore, the body of your email should contain the phrase: "Here are two papers that I have reviewed". You should also provide reason for your choice of the papers. A strong background in statistics, algorithms/formal methods and prior experience in coding is crucial to make a significant contribution to our research. [top] diff --git a/src/data/compiled_bios/1413.txt b/src/data/compiled_bios/1413.txt new file mode 100644 index 0000000000..f478009a4c --- /dev/null +++ b/src/data/compiled_bios/1413.txt @@ -0,0 +1 @@ + if !vml endif if !mso endif T ULIKA M ITRA Professor School of Computing National University of Singapore Email: tulika@comp.nus.edu.sg Ph.D. SUNY Stony Brook M.E. Indian Institute of Science CV if !supportLineBreakNewLine endif if !mso endif if !mso & !vml endif if !vml endif Biography Tulika Mitra is a Professor of Computer Science at School of Computing, National University of Singapore (NUS). Her research interests span various aspects of the design automation of embedded real-time systems, cyber-physical systems, and Internet of Things (IoT) with particular emphasis on low-power computing, heterogeneous computing, application-specific processors, and software timing analysis/optimizations. She has authored over hundred and fifty scientific publications in leading international journals and conferences and holds multiple US patents. Her research has been recognized by best paper award and nominations in leading conferences. Prof. Mitra currently serves as Senior Associate Editor of the ACM Transactions on Embedded Computing Systems, Deputy Editor-in-Chief of IEEE Embedded Systems Letters, Associate Editor of IEEE Design & Test Magazine and IEEE Micro. She has served as Associate Editor of IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems in the past. She has served in the organizing and program committees of several major conferences in embedded systems, real-time systems, and electronic design automation including program chair of EMOSFT and CASES. if !supportLineBreakNewLine endif Research group eCO : Embedded COmputing Lab @ School of Computing NUS if !supportLineBreakNewLine endif Current Projects: Software Support for Heterogeneous Multi-Cores in Dark Silicon Era Many-Core System Design for 5G Base Stations Universal SoC : Automatic Generation of High-Performance SoCs for the Internet of Things Publications Google Scholar Profile DBLP Tools: Chronos 2.0: A Timing Analyzer for Embedded Software Lin-Analyzer: A High-Level Performance Analysis Tool for FPGA Accelerators Computational Kernels for Wearables (Sequential and Multi-threaded) Professional Activities if !supportLineBreakNewLine endif Research Group Members PhD students: Wang Siqi (RA) V Vanchinathan (RA) Manupa Karunarathne [Presidents Graduate Fellowship 2017, Research Achievement Award 2017] (RS-NUS) Guanhua Wang (RS-NUS) Arka Maity (RS-NRF) Nishant Shyamal Budhdev (RS-NRF) Post-docs: Anuj Pathania Research Assistants: Aditi Kulkarni Past students Tan Cheng PhD 2019. Employment: Post-doc, Cornell University Zhong Guanwen (Henry) PhD 2017 [Research Achievement Award 2016] Employment: Xilinx Research Labs Mihai Pricopi PhD 2014 [Research Achievement Award 2012, HiPEAC 2012 Best Student Poster Award] Employment: ARM Cambridge Thannirmalai Somu Muthukaruppan PhD 2014 [Research Achievement Award 2013] Employment: Intel Ding Huping PhD 2014 [Research Achievement Award 2012] Employment: Alibaba AI Lab Chen Liang PhD 2014 [ Research Achievement Award 2011, FPT 2012 Outstanding Paper Award] Employment: Quantitative Strategist, Tower Research Capital Liang Yun , PhD 2010 [Deans Graduate Research Excellence Award 2010, Research Achievement Award 2009] Employment: Assistant Professor, Peking University Ramkumar Jayaseelan , PhD 2010 [President's Graduate Fellowship 2007] Employment: NVIDIA, Austin Texas Huynh Phung Huynh , PhD 2009. Employment: IHPC Singapore Vivy Suhendra , PhD 2009 [Microsoft Research Asia Fellowship Award 2006] Employment: Executive Director, Singapore Cybersecurity Consortium Pan Yu , PhD 2008 [Dean's Graduate Award 2004, SUN Fellowship 2005] Employment: Senior Scientist at nuTonomy Xianfeng Li , PhD 2005 [Dean's Graduate Award 2003, Industry Fellowship 2002]. Employment: Professor, Peking University Jiao Qing, MSc 2015. Employment: Mozat Pte. Ltd. Kaushik Mysur , MComp 2012. Employment: Hitachi Network Storage Lab Singapore Yan Li 2010. Graduate student, Washington University St. Louis Hemendra S. Negi, MSc 2004. Employment: Mentor Graphics India Shen Qinghua , MSc 2004. Employment: Creative Technology Singapore Liao Jirong , MSc 2003. Employment: Citibank China Raman Balaji , MSc 2003. Graduate student NUS Past Post-docs Gayathri Ananthanarayanan K Raghavendra Alok Prakash Thomas Marconi Teaching CG2271 Real-Time Operating Systems Sem 2, 2015/16 CS4223 Multi-Core Architectures, Sem 1, 2011/12, Sem 1 2012/13, Sem 1 2013/14, Sem 1 2014/15, Sem 1 2015/16 CS4273 Embedded Software Design Project, Sem 1, 2009/10, Sem 1 2010/11, Sem 2 2011/12, Sem 2 2012/13, Sem 2 2013/14 CS5222 Advanced Computer Architecture, Sem 2, 2007/8, Sem 2 2008/9, Sem 2 2009/10, Sem 2 2010/11 CS5272 Embedded Software Design, Sem 1 2004/5, Sem 1 2005/6, Sem 1 2006/7, Sem 1 2007/8, Sem 2 2012/13 CS5221 Parallel Computing Systems, Sem 2 2004/5, Sem 2 2002/3, Sem 2 2001/2 CS2271 Embedded Systems, Sem 2 2003/4, Sem 1 2002/3, Sem 1 2001/2 CS1104 Computer Organization, Sem 2, 2000/1, Sem 2 2005/6, Sem 2 2006/7 Tulika Mitra Department of Computer Science School of Computing Computing 1 (Room COM2-03-08) 13 Computing Drive Singapore 117417 National University of Singapore Tel: (65) 6516-6839 Fax: (65) 6779-4580 Email: tulika@comp.nus.edu.sg diff --git a/src/data/compiled_bios/1414.txt b/src/data/compiled_bios/1414.txt new file mode 100644 index 0000000000..4491189adb --- /dev/null +++ b/src/data/compiled_bios/1414.txt @@ -0,0 +1 @@ + Akshay Narayan About me I am a Lecturer at SOC-NUS. I am also working towards completing my PhD. My advisor is Prof. Leong, Tze Yun . I completed MTech from IIIT-Bangalore in 2012. Prior to MTech I worked with NetApp India Pvt., Ltd., for three years. I am broadly interested in AI planning, sequential decision making and its applications. My current research is on transfer learning in reinforcement learning using model-based approaches. I have explored areas of multi-objective reinforcement learning and hierarchical reinforcement learning during the first couple of years of PhD. Previously I have worked in the area of cloud computing. Some of the projects include smart metering and chargeback as applied to cloud systems, incorporating power awareness in cloud metering (master's thesis project), workload analysis for virtual machine sizing and location in private clouds (research internship with Infosys labs, India) and QoS monitoring and response in cloud systems. Some of the other projects I have worked on include building a simulation platform to test crowdsourcing algorithms (research internship with Xerox Research Center, India) and short text spam detection. School of Computing, NUS 13 Computing drive Singapore, 117417 (Office: Com 2 #02-03) anarayan[at]comp[dot]nus[dot]edu[dot]sg Publications Journal articles/Book chapters Power-Aware Cloud Metering Akshay Narayan and Shrisha Rao, "Power Aware Cloud Metering," IEEE Transactions on Services Computing, vol.7, no.3, pp.440-451, July-Sept. 2014. doi:10.1109/TSC.2013.22 System of Systems for Quality of Service Observation and Response in Cloud Computing Environments Paul Hershey, Shrisha Rao, Charles B. Silio Jr., and Akshay Narayan, "System of Systems for Quality of Service Observation and Response in Cloud Computing Environments," IEEE Systems Journal, vol. 9, no. 1, pp.212-222, March 2015. doi:10.1109/JSYST.2013.2295961 Resource Procurement, Allocation, Metering, and Pricing in Cloud Computing Narayan A., Pillai P.S., Prasad A.S., Rao S. (2017). "Resource Procurement, Allocation, Metering, and Pricing in Cloud Computing". In: Chaudhary S., Somani G., Buyya R. (eds) Research Advances in Cloud Computing, pp 141-186. Springer, Singapore. doi:10.1007/978-981-10-5026-8_7 Conference proceedings ASD: A Framework for Generation of Task Hierarchies for Transfer in Reinforcement Learning Jatin Goyal, Abhijit Madan, Akshay Narayan and Shrisha Rao, "ASD: A Framework for Generation of Task Hierarchies for Transfer in Reinforcement Learning", 2018. Twenty Fifth International Conference on Neural Information Processing (ICONIP-18), pp. 313-325, December 2018, Cambodia. SEAPoT-RL: Selective Exploration Algorithm for Policy Transfer in RL Akshay Narayan, Zhuoru Li and Tze-Yun Leong, "SEAPoT-RL: Selective Exploration Algorithm for Policy Transfer in RL", 2017. Thirty First AAAI Conference on Artificial Intelligence (AAAI-17), pp. 4975-4976, February 2017, San Francisco. (Extended Abstract) An Efficient Approach to Model-based Hierarchical Reinforcement Learning Zhuoru Li, Akshay Narayan and Tze-Yun Leong, "An Efficient Approach to Model-based Hierarchical Reinforcement Learning", 2017. Thirty First AAAI Conference on Artificial Intelligence (AAAI-17), pp. 3583-3589, February 2017, San Francisco. A Core Task Abstraction Approach to Hierarchical Reinforcement Learning Zhuoru Li, Akshay Narayan and Tze-Yun Leong, "A Core Task Abstraction Approach to Hierarchical Reinforcement Learning", 2016 . International Conference on Autonomous Agents and Multiagent Systems (AAMAS'16), pp. 1411-1412, May 2016, Singapore. (Extended Abstract) Cloud-based Mission Observation, Response, Exploitation (CMORE) System Hershey, P.; Silio, C.B.; Narayan, A.; Rao, S., "Cloud-based Mission Observation, Response, Exploitation (CMORE) System," 2014. Eighth Annual IEEE Systems Conference (SysCon), pp.317-324, March 31-April 3 2014. doi: 10.1109/SysCon.2014.6819275 The Curse of 140 Characters: Evaluating the Efficacy of SMS Spam Detection on Android Akshay Narayan and Prateek Saxena, "The Curse of 140 Characters: Evaluating the Efficacy of SMS Spam Detection on Android", 2013. Third ACM Workshop on Security and Privacy in Smartphones and Mobile Devices (SPSM '13), pp. 33-42, 4-8 November 2013, Berlin. doi: 10.1145/2516760.2516772 Smart Metering of Cloud Services Narayan, A.; Rao, S.; Ranjan, G.; Dheenadayalan, K., "Smart Metering of Cloud Services," Systems Conference (SysCon), 2012 IEEE International, pp.1-7, 19-22 March 2012 doi: 10.1109/SysCon.2012.6189462 Analysis of SaaS Business Platform Workloads for Sizing and Collocation Ganesan, R.; Sarkar, S.; Narayan, A.;, "Analysis of SaaS Business Platform Workloads for Sizing and Collocation," Cloud Computing (CLOUD), 2012 IEEE 5th International Conference on, pp.868-875, 24-29 June 2012 doi: 10.1109/CLOUD.2012.73 System of Systems to Provide Quality of Service Monitoring, Management and Response in Cloud Computing Environments Paul C. Hershey, Shrisha Rao, Charles B. Silio Jr., Akshay Narayan. "System of Systems to Provide Quality of Service Monitoring, Management and Response in Cloud Computing Environments", 7th IEEE International Conference on System of Systems Engineering (SoSE 2012), Genoa, Italy, pp. 314-320, 16-19 July 2012 doi:10.1109/SYSoSE.2012.6384208 Isosurface Extraction from Hybrid Unstructured Grids Containing Pentahedral Elements A. Narayan, J. Sreevalsan-Nair, K. Gaither, and B. Hamann, "Isosurface Extraction from Hybrid Unstructured Grids Containing Pentahedral Elements", in Proceedings of International Conference on Information Visualization Theory and Applications (GRAPP/IVAPP) 2012, February 2012, pp. 660-669. Teaching School of Computing, NUS CS2113 Software Engineering and Object-oriented Programming : Sem 1: AY-2018/19 School of Computing, NUS [Role: Teaching assistant] CS 2013 Software Engineering : Sem 2: AY-2017/18 , Sem 1: AY-2017/18 , Sem 2: AY-2016/17 , Sem 1: AY-2016/17 , and Sem 2: AY-2015/16 CS 2106 Introduction to Operating Systems : Sem 2: AY-2014/15 CS4246 AI Planning and Decision Making : Sem 1: AY-2014/15 and Sem 1: AY-2013/14 IIIT-Bangalore [Role: Teaching assistant] CS110 Operating Systems: Sem 2: AY-2011/12 PS102 Introductory Discrete Mathematics: Prep Sem: AY-2011/12 Resume You can find my resume here My profile online ORCID | Linkedin | Academia.edu Outside of academia I love photography and never miss an opportunity to shoot :) Do check my flickr page I follow PhD Comics and XKCD diff --git a/src/data/compiled_bios/1415.txt b/src/data/compiled_bios/1415.txt new file mode 100644 index 0000000000..a4b0b78bda --- /dev/null +++ b/src/data/compiled_bios/1415.txt @@ -0,0 +1 @@ + Home Page of Professor NG Hwee Tou Affiliation Provost's Chair Professor Department of Computer Science School of Computing National University of Singapore 13 Computing Drive Singapore 117417 Tel: (65) 6516 8951 Fax: (65) 6779 4580 Email: nght@comp.nus.edu.sg Home Page: http://www.comp.nus.edu.sg/~nght Office: AS6 05-16 Senior Faculty Member NUS Graduate School for Integrative Science s and Engineering National University of Singapore Education Ph.D. in Computer Science, 1992 University of Texas at Austin, U.S.A. M . S. in Computer Science, 1987 Stanford University, U.S.A. B.Sc. in Computer Science for Data Management (High Distinction), 1985 University of Toronto, Canada Bio Professor Hwee Tou NG is Provost's Chair Professor of Computer Science at the National University of Singapore (NUS) and a Senior Faculty Member at the NUS Graduate School for Integrative Sciences and Engineering. He received a PhD in Computer Science from the University of Texas at Austin, USA. His research focuses on natural language processing and information retrieval. He is a Fellow of the Association for Computational Linguistics (ACL). He has published papers in premier journals and conferences, including Computational Linguistics, Journal of Artificial Intelligence Research (JAIR), ACM Transactions on Information Systems (TOIS), ACL, NAACL, EMNLP, SIGIR, AAAI, and IJCAI. His papers received the Best Paper Award at EMNLP 2011 and SIGIR 1997. He is the editor-in-chief of Computational Linguistics, an editorial board member of Natural Language Engineering, and a steering committee member of ACL SIGNLL. He has also served as the editor-in-chief of ACM Transactions on Asian Language Information Processing (TALIP) (May 2007 May 2013), an editorial board member of Computational Linguistics (Jan 2004 Dec 2006) and Journal of Artificial Intelligence Research (JAIR) (Sep 2008 Aug 2011), the book review editor of Computational Linguistics (Aug 2014 Jul 2018), and an action editor of the Transactions of the Association for Computational Linguistics (TACL) (May 2012 Jun 2018). He was an elected member of the ACL executive committee (Jan 2008 Dec 2010) and a former secretary of ACL SIGNLL. He was program co-chair of EMNLP 2008, ACL 2005, and CoNLL 2004 conferences, and has served as area chair of ACL, NAACL, EACL, EMNLP, SIGIR, AAAI, and IJCAI conferences and as session chair and program committee member of many past conferences including ACL, EMNLP, SIGIR, AAAI, and IJCAI. At NUS, he currently serves as Deputy Director of Temasek Defence Systems Institute (TDSI), and he was formerly Program Co-Chair of the Singapore-MIT Alliance (SMA) Computer Science Program and Vice Dean (Research) of the School of Computing. Research Interests Natural Language Processing, Information Retrieval Google Scholar NUS Natural Language Processing Group Awards Participation in Benchmarking Evaluations Invited Talks Selected Professional Services diff --git a/src/data/compiled_bios/1416.txt b/src/data/compiled_bios/1416.txt new file mode 100644 index 0000000000..0c08216e7c --- /dev/null +++ b/src/data/compiled_bios/1416.txt @@ -0,0 +1 @@ + Welcome to NG Teck Khim's Home Page About Myself Courses I teach Contact Info NG Teck Khim Associate Professor School of Computing, NUS Deputy Director Smart Systems Institute, NUS About Myself I am an associate professor of practice in the School of Computing , National University of Singapore. My research interest is mainly in geometrical computer vision such as 3D reconstruction from images. I am also interested in sports video analytics, assistive devices for the handicapped, audio processing, and image/audio applications on mobile devices. I obtained my Ph.D. from Carnegie Mellon University DSO National Laboratories Smart Systems Institute Yin Li & Teck Khim Ng, "Where is that Pixel in the Oblique-View Video?" in Proceedings of IEEE Winter Conference on Applications in Computer Vision (WACV), Lake Placid, NY, USA, 7-9 March, 2016. Courses I teach in Semester-1 CS4243 Computer Vision and Pattern Recognition IS3261 Mobile Apps Development for Enterprise Courses I teach in Semester-2 CS3218 Multimodal Processing in Mobile Devices It is a course on learning how to handle signals from sensors onboard mobile platforms. Contact Me Office Address School of Computing National University of Singapore 15 Computing Drive Building Com2, #03-28 Singapore 117417 Tel: 65166962 Email ngtk@comp.nus.edu.sg diff --git a/src/data/compiled_bios/1417.txt b/src/data/compiled_bios/1417.txt new file mode 100644 index 0000000000..dab05ee1b1 --- /dev/null +++ b/src/data/compiled_bios/1417.txt @@ -0,0 +1 @@ + Beng Chin OOI Chair Professor Department of Computer Science School of Computing National University of Singapore Computing 1, Computing Drive, Singapore 117417 ooibc AT comp.nus.edu.sg Tel: +65-6516 6465 Office: COM1, #03-22 Courses Professional Activities Projects Publications Source Codes Research Students Blogs ( ) Baidu Baike Bio Short Bio: Beng Chin is a Distinguished Professor of Computer Science, NGS faculty member and Director of Smart Systems Institute (SSI@NUS) at the National University of Singapore (NUS), an adjunct Chang Jiang Professor at Zhejiang University, China, and the director of NUS AI Innovation and Commercialization Centre at Suzhou, China. He obtained his BSc (1st Class Honors) and PhD from Monash University , Australia, in 1985 and 1989 respectively. Beng Chin is a fellow of the ACM 2011, IEEE 2009, and Singapore National Academy of Science (SNAS) 2016. Beng Chin's research interests include database systems, distributed and blockchain systems, machine learning and large scale analytics, in the aspects of system architectures, performance issues, security, accuracy and correctness. He works closely with the industry (eg. NUHS, Jurong Health, Tan Tok Seng Hospital, Singapore General Hospital, KK Hospital on healthcare analytics and prediabetes prevention), and exploits IT for disruption and innovation in various appplication domains, such as healthcare, finance and smart city. He has H-index of 75 and citations of about 20,000. Beng Chin serves as a non-executive and independent director of ComfortDelgro (listed on SGX), as an advisor of a RegTech company, Cynopsis Solutions and its blockchain KYC traceto.io ICO, and Huobi for its Huobi Chain, He is a co-founder of yzBigData (2012) for Big Data Management and analytics, and Shentilium Technologies (2016) for AI- and data-driven Financial data analytics, Hangzhou MZH Technologies for Healthcare, and MediLot Technologies (2018) for blockchain based healthcare data management and analytics. He is a member of Hangzhou Government AI Development Committee (AI TOP 30) . Beng Chin was the recipient of ACM SIGMOD 2009 Contributions award , a co-winner of the 2011 Singapore President's Science Award , the recipient of 2012 IEEE Computer Society Kanai award , 2013 NUS Outstanding Researcher Award , 2014 IEEE TCDE CSEE Impact Award , and 2016 China Computer Federation (CCF) Overseas Outstanding Contributions Award . He was a recipient of VLDB'14 Best Paper award. Beng Chin has served as a PC member for international conferences such as ACM SIGMOD, VLDB, IEEE ICDE, WWW, and SIGKDD, and as Vice PC Chair for ICDE'00,04,06, PC co-Chair for SSD'93 and DASFAA'05, PC Chair for ACM SIGMOD'07 , Core DB PC chair for VLDB'08 , and PC co-Chair for IEEE ICDE'12 , IEEE Big Data'15, BOSS'18 and IEEE ICDE'18. He is serving as a PC co-Chair of Industry track of VLDB'19, BCDL'19 and ACM SoCC'20. He was an associate editor of VLDB Journal, Springer's Distributed and Parallel Databases and, IEEE Transactions on Knowledge and Data Engineering, Editor-in-Chief of IEEE Transactions on Knowledge and Data Engineering (TKDE)(2009-2012), and Elsevier's founding co-Editor-in-Chief of Journal of Big Data Research (2013-2015). He is serving as an associate editor of IEEE Transactions on Cloud Computing (TCC) and Communications of ACM (CACM), and the founding editor-in-chief of ACM Transactions on Data Science (2018 -). He has served as a co-chair of the ACM SIGMOD Jim Gray Best Thesis Award committee 2008-2011, a trustee of VLDB endowment 2006-2017, as its secretary 2010-2013, and president 2014-2017, and as an Advisory Board Member of ACM SIGMOD, 2012-2017. Beng Chin has participated in the last three once-every-five-years database self assessement meetings: Claremont, Berkeley 2008 , Beckman, Irvine 2013 , Seattle 2018 . Research and Systems: Beng Chin's ongoing/recent large system projects include: Hyperledger++s (2015-): He works on benchmarking, and performance issues of blockchain systems , in particular, on consensus model, execution engine and storage engine . His group designed a comprehensive blockchain benchmarking framework and open source called BLOCKBENCH . ForkBase (second version of UStore ) is a distributed data storage system that has rich semantics and a set of properties for supporting next generation applications. It is a native storage engine designed to provide efficient support and fast development of forking-enabled applications, such as GIT-like versioning, tamper-evident Blockchain, Collaborative Analytics and OLTP with versioning, with a great degree of flexibility, high-level semantics and performance. It synthesizes various ideas from distributed systems, databases and security to support efficient forking and execution. Hyperledger++ is used to build MediLOT, a healthcare blockchain system, which is patient centric and supports decentralized, personalized medicine and healthcare data analytics. SINGA (2014-): a distributed Deep Learning platform (indirectly funded by an ASTAR grant and NRF CRP). Apache SINGA is an Apache Incubator open source, distributed training platform for deep learning amd machine learning models, and is designed based on three principles, namely, usability, scalability and extensibility. For usability, we make the programming model of SINGA easy to follow. Specifically, users construct their models by based on Layers and Tensors, and SINGA's runtime takes care of (and is optimized for) the distributed execution and communication between nodes. Scalability is achieved by partitioning both the training data and the model, and distributing the training over multiple nodes. We make the code of SINGA modular and extensible to support different types of deep learning models, optimization algorithms and training frameworks, on both CPU and GPU clusters. Apache SINGA (incubating) v1.0 has been released. It has a Healthcare model zoo which contains deep learning models that have been used for healthcare research, and also facility for porting Caffe models onto SINGA. We now work towards AI-as-a-Service platform to enable exploration, feature selection, and model tuning and validation. Co-Space is an earlier system designed for supporting cross-domain retrieval that led to the development of SINGA. CIIDAA (2012-2018): a Comprehensive IT Infrastructure for Data-intensive Applications and Analysis is an CRP project funded by NRF (NRF-CRP8-2011-08) from 2013-2017. The main objective is to use cloud computing to address the Big Data problem. For specific applications, this approach has been shown to be effective, and systems such as Hadoop have become very popular. However, they have limitations (see ACM Computing survey paper on MapReduce based systems and IEEE TKDE Survey on in-memory systems ), and are suitable only for a class of applications that have a structure amenable to fine-grain asynchronous parallelization. Furthermore, there remain many challenges in actually using cloud computing systems in practice, including issues of resource contention across multiple jobs being run concurrently. The aim of this project is to develop a platform for supporting real-time data integration and predictive real-time analytics in the area of web consumers (collaborating with Starhub) and healthcare (collaborating with NUH, National University Health System). epiC (2009-2013): an Elastic, Power-aware, data-Intensive Cloud platform, funded by an MOE grant (2010-2012). The objectives are to design and implement an efficient multi-tenancy cloud system for supporting high throughout low latency transactions and high performance reliable query processing, with online and interactive analytics capability. memepiC (2014-) is an extension of epiC project focusing on exploiting hardware features, multi-cores and large memory. Related earlier project: UTab . LogBase (2012-2016): a distributed log-structured data management system, funded by ASTAR (2013-2016). LogBase adopts log-only storage to handle high append and write load, such as Urban/Sensor information processing. Indexing, transaction management and query processing are the key issues that have been investigated and source codes have released. LogBase is related to an ongoing research on database support for Energy and Environmental Sustainability Solutions for Megacities. CDAS (2011-2015): a Crowdsourcing Data Analytics System that has been designed to improve the quality of query results and effectively reduce the processing cost at the same time. It is being built as a crowdsourcing system that provides primitive operators to facilitate composition of crowdsourcing tasks. Other key issues such as privacy and applicability, and various applications are being investigated. With the ubiquity of Big Data and fusion of applications and technologies, the projects are related in many aspects. Beng Chin approaches research problems and system design with the philosophy that all algorithms and structures should be simple, elegant and yet efficient so that they can be easily grafted into existing systems and they are implementable, maintainable and scalable in actual applications, and all systems must be efficient, scalable, extensible and easy to use. A good example would be his approach towards the design of new indexes; they are mainly B+-tree based -- simple and elegant in design, and efficient, robust and scalable in performance (eg. TP-index [ICDE1994], ST B-tree [DKE1995], iMinMax [PODS2000], iDistance [VLDB2001, TODS2005], B^x-tree [VLDB2004], GiMP [TODS2005], ST^2B-tree [SIGMOD2008, TODS2010], B^{ed}-tree [SIGMOD2010], String Indexing [TKDE2014]). Recently, due to the change in h/w architecture and capability, he has been working on an index that is more scalable and efficient for the environment ( PI[CoRR 2015] ). Again, the index has to be simple, elegant and fast! This document, index.html , has been accessed 1680 times since 22-Oct-18 16:47:40 SGT. This is the 35th time it has been accessed today. A total of 938 different hosts have accessed this document in the last 121 days; your host, irg-138.ip.ctc.biz , has accessed it 14 times. If you're interested, complete statistics for this document are also available, including breakdowns by top-level domain, host name, and date. diff --git a/src/data/compiled_bios/1418.txt b/src/data/compiled_bios/1418.txt new file mode 100644 index 0000000000..9512961e8b --- /dev/null +++ b/src/data/compiled_bios/1418.txt @@ -0,0 +1 @@ + Wei Tsang Ooi Associate Professor Department of Computer Science National University of Singapore Home Publications Talks Services Courses Students Goodies research interest Multimedia Systems/ Networking/ Interaction My research work falls under three major areas: multimedia, networking, and interaction. Current topics of research include 3D streaming, zoomable video streaming, and networked virtual environments. I am leading the Jiku project, under the NExT Search Center. I am part of IPAL , a joint lab between NUS, I2R, CNRS (France), and UJF (France); and am affiliated with IDMI , the Interactive and Digital Media Institute of NUS. recent papers MoViMash: Online Mobile Video Mashup with Mukesh Kumar Saini, Raghudeep Gadde, Shuicheng Yan, MM 2012, [ PDF ] With the proliferation of mobile video cameras, users can now easily capture videos of live performances and socially share them with friends and public. As an attendee of such live performances typically has limited mobility, each video camera is able to capture only from a range of restricted viewing angles and distance, producing a rather monotonous video clip. At such performances, however, videos are captured by multiple users, likely from different angles and distances. These videos can be combined to produce a more interesting and representative mashup of the live performances for broadcasting and sharing. In this work, we present MoViMash, a framework for automatic online video mashup that makes smooth shot transitions to cover the performance from diverse perspectives. Shot transition and shot length distributions are learned from professionally edited videos. Further, we introduce view quality assessment in the framework to filter out shaky, occluded, and tilted videos. more publications.. recent courses Media Technology Project CS3283/4 is a 2-semester project class where students work in teams to build cool applications, applying sound software engineering practices and principles. I have also previously taught CS2105 , an introductory course on computer networking, CS4344 , an advanced course on networking and systems support for multi-player games, CS5229 , a graduate-level course where we look into classic papers on the Internet, and CS2106 an introductory undergraduate course on operating systems. recent talks The Best Interactive System is a Non-Interactive System A keynote given at The 1st International Workshop on Interactive Content Consumption (WSICC), June 2013. You can download the slides as PDF . more talks.. Guest Editorship MTAP SI Springer's Multimedia Tools and Applications (MTAP) Special Issue on Interactive Content Consumption more services.. biography About Me I received my B. Sc. (Hon.) degree from the Department of Information Systems and Computer Science (now School of Computing ), NUS in 1996, and Ph. D. from Cornell University , Ithaca, NY in 2001. I spent a year as postdoc at Berkeley Multimedia Research Center in U.C. Berkeley , before re-joining NUS in 2002. I came from Alor Setar , Malaysia. View C.V. in PDF format (last updated: Jan 2019) Contact AS6, #05-14, Department of Computer Science, National University of Singapore, Singapore 117417. ooiwt@comp.nus.edu.sg TEL: +65 6516 4463 FAX: +65 6779 1610 Created using Twitter Bootstrap and mostly vim . diff --git a/src/data/compiled_bios/1419.txt b/src/data/compiled_bios/1419.txt new file mode 100644 index 0000000000..311683961d --- /dev/null +++ b/src/data/compiled_bios/1419.txt @@ -0,0 +1 @@ + PEH Li Shiuan Provost's Chair Professor Department of Computer Science School of Computing National University of Singapore Ph.D. Stanford University, 2001. B.S. National University of Singapore, 1995. Email: peh at nus dot edu dot sg Appointments 2016-now Provost's Chair Professor of Computer Science (Courtesy Faculty of Electrical Engineering), National University of Singapore. 2015-2016 Associate Director for Outreach, Singapore-MIT Alliance of Research and Technology. 2013-2016 Professor of Electrical Engineering and Computer Science, MIT. 2009-2013 Associate Professor of Electrical Engineering and Computer Science (with tenure), MIT. 2008-2009 Associate Professor of Electrical Engineering (Associated Faculty of Computer Science) (with tenure), Princeton University. 2002-2008 Assistant Professor of Electrical Engineering (Associated Faculty of Computer Science), Princeton University. Awards IEEE Fellow, 2017. National Research Foundation Returning Singaporean Scientist Award, 2016. IEEE Senior Member, 2015. ACM Distinguished Scientist, 2011. MICRO Hall of Fame Award, 2011. Princeton Engineering Council Excellence in Teaching Award, 2007. Inclusion in "Princeton Engineering Commendation List for Outstanding Teaching", 2007. Computing Research Association CRA-W Anita Borg Early Career Award, 2007. Alfred P. Sloan Foundation Research Fellow, 2006. Princeton University E. Lawrence Keys/Emerson Electric Co. Faculty Advancement Award, 2004. National Science Foundation CAREER Award, 2003. Princeton University Research Board Award, 2003. Paper Awards Best Paper Award: Tushar Krishna, Arya Balachandran, Ben Chiah, Li Zhang, Bing Wang, Cong Wang, Kenneth Lee, Jurgen Michel and Li-Shiuan Peh, "Automatic Place-and-Route of emerging LED-driven wires within a monolithically-integrated CMOS+III-V process", In Design Automation and Test in Europe (DATE), March 2017. Best Paper Award Nominee: Cheng Tan, Aditi Kulkarni, Vanchinathan Venkataramani, Manupa Karunaratne, Tulika Mitra and Li-Shiuan Peh, "LOCUS: low-power customizable many-core architecture for wearables", In Proceedings of the International Conference on Compilers, Architectures and Synthesis for Embedded Systems (CASES), Seoul, Korea, October 2016. Best Paper Award Nominee: Bhavya K. Daya, Li-Shiuan Peh, and Anantha Chandrakasan, "Quest for High-Performance Bufferless NoCs with Single-Cycle Express Paths and Self-Learning Throttling", In 53rd Design Automation Conference (DAC), Austin, TX, June 2016. Best Paper Award: Tushar Krishna and Li-Shiuan Peh, "Single-Cycle Collective Communication Over A Shared Network Fabric", In 8th International Symposium on Networks-on-Chip (NOCS), Ferrara, Italy, September 2014. Best Paper Award: Jason Gao and Li-Shiuan Peh, "RoadRunner: Infrastructure-less Vehicular Congestion Control", In 21st World Congress on Intelligent Transport Systems (ITSWC), Detriot, Michigan, September 2014. IEEE Micro Top Picks paper from premiere architecture conferences: Tushar Krishna, Chia-Hsin Owen Chen, Woo Cheol Kwon and Li-Shiuan Peh, "SMART: Single-Cycle Multi-Hop Traversals Over A Shared Network-on-Chip", May/June 2014. Best Paper Award Nominee: Kakali Basak, Seth Hetu, Zhemin Li, Carlos M. Lima Azevedo, Harish Loganathan, Tomer Toledo, Runmin Xu, Yan Xu, Li-Shiuan Peh, Moshe Ben-Akiva, "Modeling Reaction Time within a Traffic Simulation Model", In Proceedings of the 16th International IEEE Annual Conference on Intelligent Transportation Systems (ITSC), The Hague, The Netherlands, October 2013. Best Paper Award: Emmanouil Koukoumidis, Li-Shiuan Peh and Margaret Martonosi, "SignalGuru: Leveraging Mobile Phones for Collaborative Traffic Signal Schedule Advisory," In 9th ACM International Conference on Mobile Systems, Applications and Services (MOBISYS), Washington, DC, June 2011. IEEE Micro Top Picks paper from Hot Interconnects conference: Tushar Krishna, Amit Kumar, Jacob Postman, Patrick Chiang, Mattan Erez and Li-Shiuan Peh, "Express Virtual Channels with Capacitively Driven Global Links," In IEEE Micro Top Picks from Hot Interconnects, Jul/Aug 2009. IEEE Micro Top Picks paper from the premiere architecture conferences: Amit Kumar, Li-Shiuan Peh, Partha Kundu and Niraj K. Jha, "Towards Ideal On-Chip Communication Using Express Virtual Channels," In IEEE Micro Top Picks of Architecture Conferences, Jan/Feb 2008. IEEE Micro Top Picks paper from premiere architecture conferences: Li Shang, Li-Shiuan Peh, Amit Kumar and Niraj K. Jha, "Thermal-aware On-Chip Networks," In IEEE Micro Top Picks of Architecture Conferences, January/February 2006. Best Paper Award: Tushar Krishna and Li-Shiuan Peh, Single-Cycle Collective Communication Over A Shared Network Fabric", In 8th International Symposium on Networks-on-Chip (NOCS), Ferrara, Italy, September 2014. Best Student Paper Award: Li-Shiuan Peh and William J. Dally, "A Delay Model and Speculative Architecture for Pipelined Routers," In Proceedings of the 7th International Symposium on High-Performance Computer Architecture (HPCA), January 2001. Publications Check out my Google Scholar profile page for publications diff --git a/src/data/compiled_bios/142.txt b/src/data/compiled_bios/142.txt new file mode 100644 index 0000000000..1015d74b10 --- /dev/null +++ b/src/data/compiled_bios/142.txt @@ -0,0 +1 @@ + Enter search text All the UW Current site All the UW Current site Skip to main content University of Washington University of Washington Give to ECE Quick Links Menu News + Events Events Calendar Research Colloquium Lytle Lecture Series Graduation Capstone Fair Electrical Engineering Kaleidoscope The Integrator Newsletter People Faculty Staff Emeritus Faculty Adjunct Faculty Affiliate Faculty Academics Bachelor of Science Combined BS-MS Masters & Ph.D. Professional Masters Program Non-Degree Options Research Biosystems Computing and Networking Data Sciences Photonics and Nano Devices Power and Energy Systems Robotics and Controls Research Centers Research Labs Research Projects Innovation Engineering Entrepreneurial Capstone Washington Nanofabrication Facility Makerspace: Accelerating Innovation SNUPI: Home Monitoring Systems BluHaptics: Underwater Robots with Human Touch WiBotic: Wireless Power for Robots Get Involved Researchers Industry Sponsors Prospective Students Current Students Alumni Give to UW ECE About Message from the Chair Office of the Chair Contact Us ABET Accreditation News + Events Events Calendar Research Colloquium Lytle Lecture Series Graduation Capstone Fair Electrical Engineering Kaleidoscope The Integrator Newsletter People Faculty Staff Emeritus Faculty Adjunct Faculty Affiliate Faculty Academics Bachelor of Science Combined BS-MS Masters & Ph.D. Professional Masters Program Non-Degree Options Research Biosystems Computing and Networking Data Sciences Photonics and Nano Devices Power and Energy Systems Robotics and Controls Research Centers Research Labs Research Projects Innovation Engineering Entrepreneurial Capstone Washington Nanofabrication Facility Makerspace: Accelerating Innovation SNUPI: Home Monitoring Systems BluHaptics: Underwater Robots with Human Touch WiBotic: Wireless Power for Robots Get Involved Researchers Industry Sponsors Prospective Students Current Students Alumni Give to UW ECE About Message from the Chair Office of the Chair Contact Us ABET Accreditation Tai-Chang Chen Senior Lecturer Home People Tai-Chang Chen Tai-Chang Chen is teaching faculty in the Department of Electrical Engineering, where he has offered more than 14 different undergraduate and graduate courses. Chen has been involved in developing new curricula for various universities and has also worked to develop the format of lecture-based online courses. He has implemented a PC-USB interface for laboratory instruments, which allows students in an online learning environment benefit from hands-on laboratory experiences. Chen has worked in the Electrical Engineering Microfabrication Lab as the Lab manager, and was in charge of III-V nitride semiconductor MOCVD laboratory. His research interest is in the development of micro/nano-technology for interdisciplinary engineering and scientific applications in material science, thin films, sensors on a chip, and wearable sensors and sensor systems. Research Interests Micro/nano-fabrication, laser micromachining, III-V semiconductors, sensors and sensor systems, materials analysis. Latest Projects Micromachined Ultra-Miniature Ion Source and Mass Spectrometer Micromachined Faraday Cup Array Using Deep Reactive Ion Etching Solid State Integrated Radiation Sensor Development Intracellular Neuronal Recording with Flexible Micro-machining Probe Implants Representative Publications TC Chen and TG Stoebe, An Electron Energy Loss Spectroscopy (EELS) Study of Thermal Effects in LiF:Mg,Cu,P Phosphors, J. Phys.:Conden. Matter, Vol. 11, pp. L341-347, 1999. TC Chen and RB Darling , Laser Micromachining of Microfluidic Materials by High Precision Pulsed Near and Mid Ultraviolet Nd:YAG Lasers, J of Materials Processing Technology 198, 248-253, (2008). TC Chen and RB Darling, Fundamentals of laser ablation of the materials used in microfluidics, ed. Dr. Mojtaba Kahrizi, Rijeka, Croatia, ISBN 978-953-307-906-6 (2012). K Poochinda, TC Chen, and TG Stoebe Structural, optical and electrical properties of GaN and InGaN films grown by MOCVD, J. of Crystal Growth, 272, 460-465 (2004) RB Darling and TC Chen, Microfabricated components for miniaturized chemical analysis systems, Proceedings of the SPIE - The International Society for Optical Engineering, v 5062, n 1, 2003, p 863-72. TC Chen, K Poochinda, and TG Stoebe Innovational Radiation Sensor by Integrating Al2O3:C Optically Stimulated Luminescent Dosimeter and GaN Detectors, RPD, 119, 380-385 (2006) Phone 206-221-5388 Email tcchen@u.washington.edu Mail 238 CSE Seattle, WA 98195 Education Ph.D. Materials Science and Engineering, 1997 University of Washington MS, Materials Science and Engineering, 1993 University of Washington BS, Materials Science and Engineering, 1988 National Hsing-Hua University, Taiwan Connect with ECE: Facebook Twitter Instagram YouTube LinkedIn University of Washington Be boundless Accessibility Contact Us Campus Safety My UW Privacy Terms 2019 University of Washington | Seattle, WA diff --git a/src/data/compiled_bios/1420.txt b/src/data/compiled_bios/1420.txt new file mode 100644 index 0000000000..8b4fc4ac4b --- /dev/null +++ b/src/data/compiled_bios/1420.txt @@ -0,0 +1 @@ + Adi Yoga Sidi Prabawa a ph.d student in computer science Tel: (65) 9687 5123 | Mail: adi.prabawa@nus.edu.sg Lab: COM2-404 | Location of COM2 | Map of COM2 Home Background Curriculum Vitae How to Reach Me Teaching Teaching Experience Teaching Feedback Teaching Materials Photography Research About Me I'm a Ph.D student in Computer Science in National University of Singapore (NUS). My supervisor is Associate Professor Chin Wei Ngan . My research interest is in Program Verification, JavaScript research, and Graph (Hypergraph) Theorem. I'm a contributor in the HIP/SLEEK system in NUS. I'm also a part-time teaching assistant with over 3-years of experience teaching tutorials for about 4 different courses. I'm usually teaching CS1020 (or CS1020E) with Dr. Tan Sun Teck Graduate Classes Taken CS4212 : Compiler Design CS4231 : Parallel and Distributed Algorithm CS5201 : Foundations in Theoretical Computer Science CS5202 : Foundations in Computer Systems CS5206 : Foundations in Algorithm CS5215 : Constraint Programming CS5223 : Distributed System CS6283 : Design of Secure Computer Systems Transcript My Social Network While I'm not always online, I'm generally most active on Facebook. Given that, I also have Twitter account and LinkedIn. However, my LinkedIn is not well-maintained. I'm writing on two blogs (or wordpresses). One of them is for a more serious articles while the other is for a completely irrelevant articles (which is currently empty, considering how serious I am now). Follow the link below to find my social network profiles. Social Network Photo Albums I'm an amateur photographer (or rather, a hobbyist). My camera is a Nikon D7000, still with the stock lens. I'm planning to get one prime lens(50mm, f1.4) and one telephoto lens (70-300mm, f4), but that has to wait for a little while. Some of my selected albums are displayed in the section below. To Photo Albums Under Construction Lorem ipsum dolor Suspendisse in neque Praesent et eros Lorem ipsum dolor Suspendisse in neque Praesent et eros Under Construction Lorem ipsum dolor Suspendisse in neque Praesent et eros Lorem ipsum dolor Suspendisse in neque Praesent et eros Under Construction Lorem ipsum dolor Suspendisse in neque Praesent et eros Lorem ipsum dolor Suspendisse in neque Praesent et eros Under Construction Lorem ipsum dolor Suspendisse in neque Praesent et eros Lorem ipsum dolor Suspendisse in neque Praesent et eros Under Construction Lorem ipsum dolor Suspendisse in neque Praesent et eros Lorem ipsum dolor Suspendisse in neque Praesent et eros Copyright 2013 - All Rights Reserved - Adi Yoga Sidi Prabawa | Devine Icon by ~ipapun Template by OS Templates diff --git a/src/data/compiled_bios/1421.txt b/src/data/compiled_bios/1421.txt new file mode 100644 index 0000000000..e021302b41 --- /dev/null +++ b/src/data/compiled_bios/1421.txt @@ -0,0 +1 @@ + David S. Rosenblum Home CV Papers Talks Patents Research Students Conferences Teaching PGP Contact David S. Rosenblum David S. Rosenblum is Provost's Chair Professor in the Department of Computer Science at the National University of Singapore . He is currently the Director of the NUS-Singtel Cyber Security Research and Development Laboratory , which is part of the NUS Smart Nation Research Cluster . He also directs the Felicitous Computing Institute , and he is a member of the NUS Graduate School for Integrative Sciences and Engineering . From 2013 to 2016 he was Dean of the NUS School of Computing . He received his PhD in 1988 from the Department of Electrical Engineering at Stanford University , and he did his undergraduate studies at North Texas State University (now the University of North Texas ). From 1988 to 1996 he was a Member of the Technical Staff at AT&T Bell Laboratories (now AT&T Labs Research ) in Murray Hill, New Jersey. After leaving Bell Labs, from 1996 to 2001 he was on the Faculty of the Department (now School) of Information and Computer Science at the University of California, Irvine . From 2001 to 2003 he was on leave from UC Irvine working as Chief Technology Officer and Principal Architect of PreCache, a startup company developing technology in the area of publish/subscribe networking. And from 2004 to 2011 he was Professor of Software Systems in the Department of Computer Science at University College London . Professor Rosenblum's research has addressed a wide range of problems spanning the breadth of the software development life cycle, including software specification, architecture, design, verification, testing, analysis and maintenance. His current research focuses on probabilistic verification of systems, and applications of machine learning for the design and testing of mobile, context-aware adaptive systems for ubiquitous computing and the Internet of Things. In 1997 he received a CAREER Award from the US National Science Foundation for his work on distributed component-based software, and from 2004-2009 he held a Wolfson Research Merit Award from the Royal Society. He is a Fellow of the ACM and IEEE and has received two test-of-time awards for his research. He was previously Editor-in-Chief of the ACM Transactions on Software Engineering and Methodology (ACM TOSEM) and an Associate Editor for the IEEE Transactions on Software Engineering (IEEE TSE). He has served as Member-at-Large, Vice Chair, Chair and Past Chair of the ACM Special Interest Group on Software Engineering (ACM SIGSOFT), and in 2018 he received the ACM SIGSOFT Distinguished Service Award . More information is available in a current CV . Major Awards ACM SIGSOFT Distinguished Service Award (2018) Inaugural ACM SIGSOFT Impact Paper Award (2008) ICSE Most Influential Paper Award (2002) Fellowships and Affiliations Fellow of the Association for Computing Machinery (FACM) Member of the ACM Special Interest Group on Data Communication (ACM SIGCOMM) Member of the ACM Special Interest Group on Mobility of Systems, Users, Data and Computing (ACM SIGMOBILE) Member of the ACM Special Interest Group on Software Engineering (ACM SIGSOFT) Fellow of the Institute of Electrical and Electronics Engineers (FIEEE) Senior Member of the Singapore Computer Society (SMSCS) Current Professional Activities Provost's Chair Professor of Computer Science Director of the NUS-Singtel Cyber Security Research and Development Laboratory Director of the Felicitous Computing Institute Member of the NUS Graduate School for Integrative Sciences and Engineering (NGS) Deputy Chair of the ACM Distinguished Member Committee Member of the Steering Committee of the International Conference on Software Engineering (ICSE) Recent Book 40 Editions of ICSEthe ruby anniversary celebration (ICSE 2018) Recent Papers Evaluating Recommender System Stability with Influence-Guided Fuzzing (AAAI 2019) Verifying the long-run behavior of probabilistic system models in the presence of uncertainty Yamilet R. Serrano Llerena , Marcel Bhme , Marc Brnink , Guoxin Su , David S. Rosenblum ESEC/FSE 2018 Proceedings of the 2018 26th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering,2018 frames are not supported Learning Structures of Interval-Based Bayesian Networks in Probabilistic Generative Model for Human Complex Activity Recognition ( Pattern Recognition , 2018) A Non-Parametric Generative Model for Human Trajectories (IJCAI-ECAI 2018) A Comparative Study of Decision Diagrams for Real-time Model Checking (SPIN 2018) Using Branch Frequency Spectra to Evaluate Operational Coverage (APSEC 2017) Probabilistic model checking of perturbed MDPs with applications to cloud computing Yamilet R. Serrano Llerena , Guoxin Su , David S. Rosenblum ESEC/FSE 2017 Proceedings of the 2017 11th Joint Meeting on Foundations of Software Engineering,2017 frames are not supported ProEva: Runtime Proactive Performance Evaluation Based on Continuous-Time Markov Chains (ICSE 2017) Mining performance specifications Marc Brnink , David S. Rosenblum FSE 2016 Proceedings of the 2016 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering,2016 frames are not supported A Bandit Approach for Intelligent IoT Service Composition across Heterogeneous Smart Spaces Nirandika Wanigasekara , Jenny Schmalfuss , Darren Carlson , David S. Rosenblum IoT'16 Proceedings of the 6th International Conference on the Internet of Things,2016 frames are not supported Urban Water Quality Prediction Based on Multi-Task Multi-View Learning (IJCAI 2016) Reliability of Run-Time Quality-of-Service evaluation using parametric model checking Guoxin Su , David S. Rosenblum , Giordano Tamburrelli ICSE '16 Proceedings of the 38th International Conference on Software Engineering,2016 frames are not supported An Iterative Decision-Making Scheme for Markov Decision Processes and Its Application to Self-Adaptive Systems (ETAPS FASE 2016) Asymptotic Perturbation Bounds for Probabilistic Model Checking with Empirically Determined Probability Parameters ( IEEE TSE , 2016) Fusing Social Networks with Deep Learning for Volunteerism Tendency Prediction (AAAI 2016) Fortune Teller: Predicting Your Career Path (AAAI 2016) From Action to Activity: Sensor-Based Activity Recognition ( Neurocomputing , 2016) Recent Talks The Challenges of Probabilistic Thinking (keynote talk at ICFEM 2017) The Power of Probabilistic Thinking (keynote talk at ASE 2016) Known Unknowns: Testing in the Presence of Uncertainty (talk at ACM SIGSOFT FSE 2014 Visions & Challenges Track) Last updated 14 January 2019 diff --git a/src/data/compiled_bios/1422.txt b/src/data/compiled_bios/1422.txt new file mode 100644 index 0000000000..afab8e1ef3 --- /dev/null +++ b/src/data/compiled_bios/1422.txt @@ -0,0 +1 @@ + Abhik Roychoudhury Professor School of Computing National University of Singapore 13 Computing Drive Singapore 117417 Republic of Singapore. Contact: abhik at comp.nus.edu.sg [MAIN PAGE] [TEACHING] [STUDENTS] [RESEARCH] [PUBLICATIONS] [TOOLS] [SERVICE] News Several post-doc positions are available in the upcoming National Satellite of Excellence in Trustworthy Software Systems (2019-23). Please see my post in SEWorld (Dec 2018), and email me if interested. Biography ( Short CV , Long CV ) Abhik Roychoudhury is a Professor of Computer Science at the National University of Singapore National Satellite of Excellence on Trustworthy Software Systems TSUNAMi Singapore Cyber-security Consortium . He has advised organizations and governments on cyber-security issues in different capacities, including being an advisory board member of the London Office for Rapid Cyber-security Advancement ( LORCA ) since 2018. Research Interests I have researched at intersections of program analysis, software security, real-time embedded systems, and trustworthy systems. Program Analysis, Software Security, Trustworthy Software, Automated program repair . Enhancing Security, Timing Predictability or Energy Consumption of Programs. Research Themes Automated Program Repair Binary Analysis and Vulnerability Detection Software timing analysis ( Tool , Papers ) Cache Side Channel Attacks ( oo7 , CacheFix ) Current Initiatives National Satellite of Excellence in Trustworthy Software Systems , 2019-23. Trustworthy systems from un-trusted component amalgamations , 2015-20. Singapore Cyber-security Consortium , 2016-22. News 2019: Sergey Mechtaev has defended his PhD thesis Semantic Program Repair and has joined University College London (UCL) as Lecturer. 2019: Marcel Boehme receives Australian Research Council (ARC) Discovery Early Researcher Award (DECRA) for his work on fuzz testing. Keynote speaker at 25th Australasian Software Engineering Conference ( ASWEC 2018 ), speaking on Automated Program Repair . July 2018: Our approach oo7 defends against Spectre Attacks, and imposes low (less than 2%) performance overheads. Speaker at the 9th International Summer School on Information Security and Protection , Australian National University, July 2018. Keynote speaker at 21st IEEE International Symposium on Real-time Computing (ISORC) , NTU Singapore, May 2018. Our work on repair of non-functional properties of mobile apps is highlighted in IEEE Innovation Spotlight . Keynote speaker at KLEE Workshop on Symbolic Execution (Apr 18), Imperial College London. Marcel Boehme has joined Monash University as Lecturer and Shin Hwei Tan has joined SUSTech as Assistant Professor. Older News (2017 and earlier) Views Keynote at 25th Australasian Software Engineering Conference, Adelaide, November 2018. Automated Program Repair Keynote talk from Abhik Roychoudhury Keynote at KLEE Workshop on Symbolic Execution , Imperial College London, April 2018. Symbexecsearch from Abhik Roychoudhury Keynote in 21st International Symposium on Real-time Computing (ISORC) 2018, Singapore. Isorc18 keynote from Abhik Roychoudhury Future of Mobile Software Keynote at MobileSoft 2017 , Buenos Aires, Argentina, May 2017. Mobilesoft 2017 Keynote from Abhik Roychoudhury Overview talk at Dagstuhl seminar on Automated Program Repair , Germany, January 2017. Repair dagstuhl jan2017 from Abhik Roychoudhury Distinguished Lecture, University of Luxembourg, Interdisciplinary Centre for Security, Reliability and Trust (SnT) , January 2017, Watch VIDEO on Youtube . Binary Analysis - Luxembourg from Abhik Roychoudhury Reflection " Education consists mostly of what we have unlearned" - Mark Twain "There is no joy in the finite. There is joy only in the infinite." - Upanishads. ---> What can you infer by combining the above two statements? And here is one of my favorites "If you shut the door to all errors, truth will be shut out." - Rabindranath Tagore. ---> In formal verification - we establish truth of a property in a model by shutting out all errors! diff --git a/src/data/compiled_bios/1423.txt b/src/data/compiled_bios/1423.txt new file mode 100644 index 0000000000..84d8e2c4c0 --- /dev/null +++ b/src/data/compiled_bios/1423.txt @@ -0,0 +1 @@ + Prateek Saxena Hey! I am an Assistant Professor in the Computer Science Department at National University of Singapore . I work on computer security, and its intersection with formal methods and programming languages. My present research is on machine learning security, cryptocurrencies, trusted computing, and binary analysis. I got my PhD in Computer Science from the University of California, Berkeley in 2012 and visited Microsoft Research Redmond during the summer of 2015. I am fortunate to work with several bright PhD students: Shweta Shinde , Loi Luu , Shruti Tople , Enrico Budianto , Yaoqi Jia (co-advised), Shiqi Shen, Teodora Baluta, and Deli Gong (co-advised). Our group members (present and alumni) are actively exploring spinoffs, originating from their research. See Zilliqa , KyberNetwork , Dexecure , TrueBit and SmartPool (non-profit) as examples. I have co-founded Anquan . For our released software projects, please see the software release (or publications ) webpage. Thanks to Google, Intel, Symantec, sponsors of the Crystal Center , MoE-Singapore, DSO Labs, NRF-Singapore, for their generous and continued support to our research! Computer Science Division COM2-03-40, School of Computing National University of Singapore Email: prateeks at comp dot nus dot edu dot sg Thanks for join us for the deep learning security workshop , the research forum , and blockchain and security workshops in the past. More events like this are coming up this year. New! I am looking for highly independent PhD students, interns and postdocs in our group. Our focus is presently on deep learning security, probabilistic reasoning, and binary analysis (pleass see our publications). Please send me an email with your CV if you are interested. A strong background in math / statistics, PL / verification, security, or large systems-building is necessary for our research. We welcome candidates who will commit 6+ months on focussed research at the outset, and generally unable to respond to requests otherwise. Interested NUS undergrads: Please set aside a year of rigorous work if you wish to do your UROP or final-year thesis projects with me. Publications Software Teaching CV Google Scholar Fix A Meeting? diff --git a/src/data/compiled_bios/1424.txt b/src/data/compiled_bios/1424.txt new file mode 100644 index 0000000000..46102b679b --- /dev/null +++ b/src/data/compiled_bios/1424.txt @@ -0,0 +1 @@ + Reza SHOKRI Assistant Professor Computer Science Department National University of Singapore (NUS) Email : firstname@comp.nus.edu.sg Twitter : @rzshokri Phone : +65-651-64464 Office : COM2-03-60 Mailing Address : Dept. of Computer Science, NUS School of Computing, 13 Computing Drive, Computing 1, #03-27, Singapore 117417. My research is in computer security and privacy. My current focus is on machine learning and data privacy , adversarial machine learning , interpretable machine learning , and privacy-preserving data synthesis . I have open positions for PhD students, postdoctoral researchers, and long-term interns. PhD candidates need to first get admission from the computer science department. Please feel free to email me after you get the admission, and I will be happy to talk to you about our current projects. International students can also apply for the SINGA award . Postdoc candidates need to have strong analytical skills in statistics, probability, and machine learning. Knowledge in cryptography is a plus. Please send me your CV and research statement. Undergraduate students (of other universities) who are exceptionally good in algorithms and are interested in working with me as an intern need to fill out this form . I am also open to working with talented NUS undergraduate students who are interested in working on research projects. Please feel free to email me. Selected Publications (see also Google Scholar ) Milad Nasr, Reza Shokri, and Amir Houmansadr Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning To appear : IEEE Symposium on Security and Privacy ( S&P ) -- Oakland, 2019. Milad Nasr, Reza Shokri, and Amir Houmansadr Machine Learning with Membership Privacy using Adversarial Regularization [ code ] ACM Conference on Computer and Communications Security ( CCS ), 2018. Tyler Hunt, Congzheng Song, Reza Shokri, Vitaly Shmatikov, and Emmett Witchel Chiron: Privacy-preserving Machine Learning as a Service arXiv:1803.05961, 2018 Media : ZDNet Reza Shokri, Marco Stronati, Congzheng Song, and Vitaly Shmatikov Membership Inference Attacks against Machine Learning Models [ code ] [ data ] [ talk ] IEEE Symposium on Security and Privacy ( S&P ) -- Oakland, 2017. The Caspar Bowden Award for Outstanding Research in Privacy Enhancing Technologies 2018 . Vincent Bindschaedler, Reza Shokri, and Carl Gunter Plausible Deniability for Privacy-Preserving Data Synthesis [ code ] VLDB Endowment International Conference on Very Large Data Bases ( PVLDB ), 2017. Vincent Bindschaedler and Reza Shokri. Synthesizing Plausible Privacy-Preserving Location Traces [ code ] [ talk by V. Bindschaedler] IEEE Symposium on Security and Privacy ( S&P ) -- Oakland, 2016. Reza Shokri, George Theodorakopoulos, and Carmela Troncoso Privacy Games along Location Traces: A Game-Theoretic Framework for Optimizing Location Privacy ACM Transactions on Privacy and Security ( TOPS ), 2016. Richard McPherson, Reza Shokri, and Vitaly Shmatikov Defeating Image Obfuscation with Deep Learning arXiv:1609.00408, 2016 Media : The Register , WIRED , The Telegraph , BBC , and more Reza Shokri and Vitaly Shmatikov. Privacy-Preserving Deep Learning [ code ] ACM Conference on Computer and Communications Security ( CCS ), 2015. (Invited to) Conference on Communication, Control, and Computing ( Allerton ), 2015. Media : MIT Technology Review Reza Shokri. Privacy Games: Optimal User-Centric Data Obfuscation Privacy Enhancing Technologies Symposium ( PETS ), 2015 Igor Bilogrevic, Kevin Huguenin, Stephan Mihaila, Reza Shokri, and Jean-Pierre Hubaux. Predicting Users' Motivations behind Location Check-Ins and Utility Implications of Privacy Protection Mechanisms Network and Distributed System Security ( NDSS ) Symposium, 2015. Arthur Gervais, Reza Shokri, Adish Singla, Srdjan Capkun, and Vincent Lenders. Quantifying Web-Search Privacy [ code ] ACM Conference on Computer and Communications Security ( CCS ), 2014. Reza Shokri, George Theodorakopoulos, Panos Papadimitratos, Ehsan Kazemi, and Jean-Pierre Hubaux. Hiding in the Mobile Crowd: Location Privacy through Collaboration IEEE Transactions on Dependable and Secure Computing ( TDSC ), 2014. Reza Shokri, George Theodorakopoulos, Carmela Troncoso, Jean-Pierre Hubaux, and Jean-Yves Le Boudec. Protecting Location Privacy: Optimal Strategy against Localization Attacks [ code ] ACM Conference on Computer and Communications Security ( CCS ), 2012. Reza Shokri, George Theodorakopoulos, Jean-Yves Le Boudec, and Jean-Pierre Hubaux. Quantifying Location Privacy [ code ] IEEE Symposium on Security and Privacy ( S&P ) -- Oakland, 2011. Runner-up for the Outstanding Research Award in Privacy Enhancing Technologies 2012 . Teaching CS4257 (Sem 2: 2017-18, 2018-19): Algorithmic Foundations of Privacy (anonymous communication, data privacy, private computation) CS6231 (Sem 1: 2018-19): An Adversarial View of Privacy (inference attacks) CS6101 (Sem 1: 20**): Privacy and Security in Machine Learning (adversarial machine learning) Professional Activities Program chair of NUS Computer Science Research Week: 2019 Program co-chair of Hot Topics in Privacy Enhancing Technologies (HotPETs): 2013 and 2014 Program committee member of IEEE Symposium on Security and Privacy (Oakland): 2019 , 2020 ACM Conference on Computer and Communications Security (CCS): 2017 , 2019 Privacy-Enhancing Technologies Symposium (PETS): 2013 , 2014 , 2015 , 2017 , 2019 ACM ASIA Conference on Computer and Communications Security (ASIACCS): 2019 USENIX Security and AI Networking Conference: 2019 USENIX Security Symposium: 2015 , 2016 Network and Distributed System Security Symposium (NDSS): 2016 , 2017 IEEE European Symposium on Security and Privacy (Euro S&P): 2017 ACM Conference on Security and Privacy in Wireless and Mobile Networks (WiSec): 2014 , 2015 , 2016 , 2018 Conference on Decision and Game Theory for Security (GameSec): 2015 , 2016 , 2018 International World Wide Web Conference (WWW): 2016 ACM CCS Workshop on Theory and Practice of Differential Privacy (TPDP): 2018 ACM Workshop on Privacy in the Electronic Society (WPES): 2012 , 2015 ASIACCS Workshop on IoT Privacy, Trust, and Security (IoTPTS): 2015 , 2016 Workshop on Understanding and Enhancing Online Privacy (UEOP): 2016 International Workshop on Obfuscation: Science, Technology, and Theory: 2017 International Conference on Privacy, Security and Trust (PST): 2014 diff --git a/src/data/compiled_bios/1425.txt b/src/data/compiled_bios/1425.txt new file mode 100644 index 0000000000..2a45ec7208 --- /dev/null +++ b/src/data/compiled_bios/1425.txt @@ -0,0 +1 @@ + Dr. Terence Sim HOME CV TEACHING RESEARCH TALKS CONSULTING LINKS School of Computing National University of Singapore 13 Computing Drive Singapore 117417 Tel: +65 6516 1180 Fax: +65 6779 4580 Map Email: tsim AT comp.nus.edu.sg Greetings from NUS! I am an Associate Professor at the School of Computing , National University of Singapore . I am also an Assistant Dean of Corporate Relations at our School. I teach an undergraduate course in digital special effects, as well as a graduate course in multimedia. For research, I work primarily in these areas: face recognition, biometrics, and computational photography. I'm also interested in computer vision problems in general, such as shape-from-shading, photometric stereo, object recognition. On the side, I dabble with some aspects of music processing, such as polyphonic music transcription. From 2014 to 2016, I served as President of the Pattern Recognition and Machine Intelligence Association (PREMIA), a national professional body for pattern recognition, affiliated with the International Association for Pattern Recognition (IAPR). I won the 4th Temasek Young Investigator's Award in 2005 . This $500K award was given by the Defence Science and Technology Agency for a 3-year project in Extreme Face Recognition. I am available as a Consultant for biometrics deployment: review of technology, assessment of vendor's proposal, education and training. NEW! PPSM slides (PDF version ) of my Power Papers (Part 2) talk. PPSM slides (PDF version ) of my Power Papers (Part 1) talk. PPSM slides ( PDF version ) of my Super Speaking talk. Prospective students: Want to do a Ph.D. in my research group? Click here . If you are asking me to write a letter of recommendation for you, please read this first . Updated March 2017. diff --git a/src/data/compiled_bios/1426.txt b/src/data/compiled_bios/1426.txt new file mode 100644 index 0000000000..089914a6c5 --- /dev/null +++ b/src/data/compiled_bios/1426.txt @@ -0,0 +1 @@ + Redirection Notice. Hello! This website is still under construction. In the meantime, you'll be redirected to my personal website at www.haroldsoh.com . If you're not automatically re-directed, please click here diff --git a/src/data/compiled_bios/1427.txt b/src/data/compiled_bios/1427.txt new file mode 100644 index 0000000000..c2ef5f7152 --- /dev/null +++ b/src/data/compiled_bios/1427.txt @@ -0,0 +1 @@ + Soo Yuen Jien Hello! Welcome to my homepage. This page is primarily used as a source of information to the course(s) that I am teaching. As you can see, this page is, and will be under heavy construction indefinitely =). Currently working as a Senior Lecturer in School of Computing, National University of Singapore. My current research interest includes Parallel Programming and Computer Architecture. Office Location : COM2 #02-61 Telephone No. : (65) 6516-1345 Consultation hours : Wednesday 3pm to 5pm (you can email me to check for other timeslot) Email : sooyj AT comp DOT nus DOT edu DOT sg Courses in 2015/16 Semester 2: CS1020E Data Structure and Algorithm (for Engineering Students) CS2100 Computer Organization TE3201 Software Engineering My Profile This document, index.html , has been accessed 9379 times since 19-Jan-18 17:04:39 SGT. This is the 21st time it has been accessed today. A total of 2106 different hosts have accessed this document in the last 397 days; your host, irg-138.ip.ctc.biz , has accessed it 15 times. If you're interested, complete statistics for this document are also available, including breakdowns by top-level domain, host name, and date. diff --git a/src/data/compiled_bios/1428.txt b/src/data/compiled_bios/1428.txt new file mode 100644 index 0000000000..781dd101d0 --- /dev/null +++ b/src/data/compiled_bios/1428.txt @@ -0,0 +1 @@ + Dr. Sufatrio Lecturer Department of Computer Science School of Computing National University of Singapore COM1, 13 Computing Drive Singapore 117417 Republic of Singapore Office: COM2 #03-42 E-mail: sufatrio AT comp DOT nus DOT edu DOT sg Hi! I am a Lecturer in the School of Computing of the National University of Singapore . I obtained my M.Sc. and Ph.D. in Computer Science from the School of Computing, National University of Singapore. Previously, I was a scientist and Acting Lab Head of the Mobile Forensics & Security Lab at the Cyber Security & Intelligence Department, Institute for Infocomm Research (I2R) , A*STAR. Prior to that, I was an associate scientist and then a research scientist with the Temasek Laboratories at the National University of Singapore (TL@NUS) . I am interested in many areas of computer security, and have published numerous papers on system, network and mobile security. Links: Teaching Publications diff --git a/src/data/compiled_bios/1429.txt b/src/data/compiled_bios/1429.txt new file mode 100644 index 0000000000..0b64e9f966 --- /dev/null +++ b/src/data/compiled_bios/1429.txt @@ -0,0 +1 @@ + Sung Wing Kin, Ken Professor, School of Computing, National University of Singapore, Computing 1, 13 Computing Drive, Singapore 117417 Senior Group Leader, Genome Institute of Singapore, 60 Biopolis Street, #02-01, Genome, Singapore 138672 B.Sc ( HKU ), Ph.D (HKU) ksung@comp.nus.edu.sg Dr. Wing-Kin Sung () received both the B.Sc. and the Ph.D. degree in the Department of Computer Science from the University of Hong Kong in 1993, 1998, respectively. He is a professor in the Department of Computer Science , School of Computing, NUS. Also, he is a senior group leader in Genome Institute of Singapore . He has over 20 years experience in Algorithm and Bioinformatics research. He also teaches courses on bioinformatics for both undergraduate and postgraduate. He was conferred the 2003 FIT paper award (Japan), the 2006 National Science Award (Singapore), and the 2008 Young Researcher Award (NUS) for his research contribution in algorithm and bioinformatics. Publications I published two books: "Algorithms in Bioinformatics: A Practical Introduction" (2009) and "Algorithms for Next-Generation Sequencing" (2017) . My publication lists can be found in DBLP [Computer Science] and PubMed [Bioinformatics] My google scholar profile is available at https://scholar.google.com.sg/citations?user=KaCbE9MAAAAJ&hl;=en . Students' thesis Academic Services Conference/Programme chair WALCOM2018 , IWOCA2018 GIW2013 Invited talks ICBBB2018 IABD2017 , The 25th LSD & LAW (London Stringology Days & London Algorithmic Workshop 2017) GIW2016 Editorial board JBCB, BMC Research Notes Programme committee IWBBIO2019, APBC2019, BIBM2019, RECOMB2019, CPM2019, ACM-BCB2019 GIW2018, SPIRE2018, APBC2018, RECOMB2018, AICoB2018, BIBE2018, ISBRA2018, ICIBM2018 LATA2017, RECOMB2017, ISBRA2017, APBC2017, BIBM2017, InCOB2017, GIW2017 PRICAI 2016, APBC 2016 , BICoB 2016, BIBE2016 , ISBRA2016, SPIRE2016, BIBM2016, ICIBM2016 Resarch Projects Phylogenetic Trees/Networks Compressed Data-structure Gene Regulation Courses Data-structure and Algorithm(CS1102) 2001/2002 Semester 2: Data-structure and Algorithm(CS1102) Introduction to Bioinformatics(CS2220) 2002/2003 Semester 2, 2003/2004 Semster 2, 2004/2005 Semester 2 Programming Methodology for Engineering (CS1101c) 2005/2006 Semester 2 Adanced Combinatorial methods in bioinformatics(CS5238) 2002/2003 Semester 1, 2003/2004 Semester 1, 2004/2005 Semester 1, 2005/2006 Semester 1, 2006/2007 Semester 1, 2007/2008 Semester 1, 2008/2009 Semester 1, 2009/2010 Semester 1, 2010/2011 Semester 1, 2011/2012 Semester 1, 2012/2013 Semester 1 Combinatorial methods in bioinformatics(CS3225) 2006/2007 Semester 2, 2007/2008 Semester 2, 2008/2009 Semester 2, 2009/2010 Semester 2, 2010/2011 Semester 2, 2011/2012 Semester 2, 2012/2013 Semester 2, 2013/2014 Semester 2 Design and Analysis of Algorithm(CS3230) 2013/2014 Semester 1 Software CWig Compressed representation of Wiggle/BedGraph format (or from this link ) PEAssember : A de novo genome assembler BatMeth : Improved mapper for bisulfite sequencing reads on DNA methylation BatMis : A fast short read aligner allowing up to 10 mismatches BatAlign : A short read aligner allowing indels BatVI : A a fast and sensitive method to determine viral integrations BASIC : A genome browser ChIA-PET tool : A tool for analyzing ChIA-PET datasets ChromSDE : Inference of Spatial Organizations of Chromosomes Using Semi-definite Embedding Approach and Hi-C Data CCAT3.0 : A ChIP-seq peak caller CENTDIST : A motif scanner for ChIP-seq data SEME : A de novo motif finder for ChIP-seq data MotifVoter motif finder SPACE motif finder FACT : Fast Algorithms for Consensus Trees Local Gapped Subforest Aligner : A Tool to Align two RNA Secondary Structures Locally Other Software by the group (may not work) Some Links APBC2005: The Third Asia-Pacific Bioinformatics Conference IICAI Bioinformatics and Computational Biology Session Workshop on Data Analysis and Data Mining in Proteomics International Conference on Bioinformatics 2005 The Second International Conference on Algorithmic Aspects in Information and Management 2006 Ninth Pacific Rim International Conference on Artificial Intelligence 2006 IEEE-GrC 2006 Workshop on BioAlgorithmics (12 - 15 Jul 2006) The Third Annual RECOMB Satellite Conference on Regulatory Genomics (17-18 Jul 2006) The 3rd International Conference on Algorithmic Aspects in Information and Management (AAIM'07) International Conference on Bioinformatics Research and Development (BIRD) (March 2007, Berlin, Germany) Eleventh Annual International Conference on Research in Computational Molecular Biology (RECOMB 2007) The 2nd IAPR Worshop on Pattern Recognition in Bioinformatics (PRIB 2007) The 18th International Conference on Genome Informatics (GIW 2007) , Singapore. IEEE BIBE07 14th edition of the Symposium on String Processing and Information Retrieval (SPIRE 2007) International Conference on Granular Computing (GrC2007) Twelventh Annual International Conference on Research in Computational Molecular Biology (RECOMB 2008) , Singapore. IICAI 2007 The 4th International Symposium on Bioinformatics Research and Applications (ISBRA 2008) The Third IAPR Conference on Pattern Recognition in Bioinformatics (PRIB 2008), October 15-17, 2008 in Melbourne, Australia. The 10th PRICAI , Hanoi, Vietnam, from December 15 to 19, 2008 The 19th International Confere nce on Genome Informatics (GIW 2008) , Australia. 15th edition of the Symposium on String Processing and Information Retrieval (SPIRE 2008) 8th IEEE International Workshop on High Performance Computational Biology The 1st international conference on Bioinformatics and Computational Biology (BICOB2009) The 5th International Symposium on Bioinformatics Research and Applications (ISBRA 2009) 16th String Processing and Information Retrieval Symposium (SPIRE 2009) IICAI 2009 The 6th International Symposium on Bioinformatics Research and Applications (ISBRA 2010) International Conference on Granular Computing (GrC2010) The 11th Pacific Rim International Conference on Artificial Intelligence (PRICAI2010) , Aug 30 - Sep 3, 2010, Daegu, Korea. The 2010 IEEE International Conference on Bioinformatics and Biomedicine will be held in Hong Kong (BIBM2010), Dec. 19-22, 2010. the 3nd International Conference on Bioinformatics and Computational Biology (BICoB-2011) ISBRA2011 ICCABS2011 the 5th Indian International Conference on Artificial Intelligence (IICAI-11) (http://www.iiconference.org) The 2011 IEEE International Conference on Granular Computing (GrC) The 2011 IEEE International Conference on Bioinformatics and Biomedicine (BIBM2011) The international conference on Bioinformatics and Computational Biology (BICOB2012) The 12th Pacific Rim International Conference on Artificial Intelligence (PRICAI2012) APBC2012 COCOA 2012 will be held in Banff, Canada, August 5-9 (tentative), 2012. CPM 2012 will be held in July 3-5 2012 in Helsinki, Finland 2nd IEEE International Conference on Computational Advances in Bio and Medical Sciences (ICCABS2012) BIBM 2012 ISBRA2012 IEEE GrC 2012 Genome Informatics Workshop (GIW) 2012, which will be held on December 12-14, 2012 at National Cheng Kung University ECCB 2012 BICoB 2013 FAW-AAIM'13, Dalian, China, June 26-28, 2013. CIBB & PRIB 2013 ISBRA2013 24th International Symposium on Algorithms and Computation (ISAAC2013) (December 16-18, 2013, Hong Kong) ICIBM 2013 (August 11-13, 2013, Nashville/Vanderbilt University.) ICCABS 2013 GIW 2013 (Dec 16-18, 2013, Singapore) BIBM 2013 ISBRA 2014 BICoB 2014 ECCB2014 AICoB2014 GIW2014 BIBM 2014 GrC 2014 BICoB 2015 ISBRA 2015 BIBM 2015 ICIBM 2015 Email: ksung@comp.nus.edu.sg Last Updated: Wednesday, 23-Jan-2019 22:14:06 SGT This document, index.htm , has been accessed 40880 times since 30-Jul-05 15:41:04 SGT. This is the 27th time it has been accessed today. A total of 17135 different hosts have accessed this document in the last 4953 days; your host, irg-138.ip.ctc.biz , has accessed it 15 times. If you're interested, complete statistics for this document are also available, including breakdowns by top-level domain, host name, and date. diff --git a/src/data/compiled_bios/143.txt b/src/data/compiled_bios/143.txt new file mode 100644 index 0000000000..c963e21ef8 --- /dev/null +++ b/src/data/compiled_bios/143.txt @@ -0,0 +1 @@ + Skip to content UW BioRobotics Lab A blog dedicated to the news and achievements of the University of Washington's BioRobotics Lab Menu Home About BRL Safety Faculty Affiliated Faculty Postdocs Graduate Students Alumni Neural Engineering BCI Security BCI Optimization Closed-Loop DBS Neuroethics of DBS Lower-Limb TMR Gestureless Touchscreen Interface Quantifying HCPS interactions Past Neural Engineering Projects Robotics Surgical Robotics Raven Control Raven Neurosurgery Multiport Skull Planning Preventing Tissue Damage Past Surgical Robot Projects Mobile Robots Automating perturbation experiments for a hopping robot using a cable-driven impedance haptic device Locomotion Jumping Robots Hand Gesture Classification Teleoperation Teleoperation Software Simulation Sensors for Teleoperation Haptics and Virtual Fixtures Teleoperation Security Publications Outreach & Spinoffs Contact Us For Prospective Graduate Students For Prospective Undergraduate Students For Other Visitors Information for Interested Students August 22, 2016 January 5, 2018 by Administrator We would like to provide some helpful information for prospective students interested in research at the BioRobotics Lab. Due to a high volume of interest in our lab, it may not be possible to get an individual response from one of our principal investigators or current graduate students. Please read the appropriate page below FIRST, before sending an e-mail, and try to be as specific as possible with the name of the project youre interested in working on. Thanks! Undergraduate Students Graduate Students Categories Announcements , Uncategorized Prof. Sam Burden and team (2017-2018 edition) November 30, 2018 by Niveditha Kalavakonda Benjamin Chasnov was appointed to the Computational Neuroscience Training Program in Sep. 2018 Liam Han defended his Masters thesis in Mechanical Engineering in June 2018. Liams dissertation was titled Automating perturbation experiments for a hopping robot using a cable-driven impedance haptic system . He is now working at Amyris as an automation engineer in Emeryville, CA. Tianqi Li defended his Masters thesis in Mechanical Engineering in June 2018. Tianqis dissertation was titled Experimental realization of deadbeat control on a hybrid model of legged locomotion . He has started his PhD in Mechanical Engineering at Texas A&M in Fall 2018. Alyssa Giedd and Clara Orndorff received the UWIN undergraduate fellowship in May 2018 Alyssa Giedd also received a CSNE UW Undergraduate Fellowship in May 2018 Momona Yamagami will be publishing a conference paper in Cyber-physical-human systems in Dec 2018 (Please click link for the abstract) Momona Yamagami received a WRF Innovation Graduate Fellowship in Neuroengineering in Aug 2017 Categories Uncategorized Fall 2017 Acheivements! December 9, 2017 by Niveditha Kalavakonda 2017 Rudolph Kalman Best Paper Award We are proud to announce that a paper co-authored by Prof. Howard Chizeck received the 2017 Rudolph Kalman Best Paper Award presented by the American Society of Mechanical Engineers this year. The paper titled Electromechanical Modeling and Adaptive Feedforward Control of a Self-Sensing Scanning Fiber Endoscope can be publicly accessed here . You can also find a news article about the award on the EE website. EE Research Day Poster (1st Prize) Andrew Haddock won a $5000 prize during the Electrical Engineering Research Day Poster session. Categories Uncategorized Deep Brain Stimulation research from BRL is on the news! July 4, 2017 by Niveditha Kalavakonda Prof. Howard Chizeck and students of the BioRobotics Lab have developed a method to deliver targeted treatment to people suffering from Essential Tremors using brain signals. They combined electrodes on top of the brain to sense movement in the parts of the body that experience essential tremor, along with a deep brain electrode, to deliver stimulation only when its needed. Here are a few articles from the news: Top story on NSFs Science 360 website (June 29): https://news.science360.gov/files/;jsessionid=442F66BBC864503F62F1748A5018342B Direct link: https://news.science360.gov/obj/story/a3d89254-f882-471e-83e4-f66d3dfe8854/brain-signals-deliver-first-targeted-treatment-worlds-common-movement-disorder National Science Foundation website: https://nsf.gov/news/news_summ.jsp?cntn_id=242397&org=NSF&from=news Neuroscience News: http://neurosciencenews.com/essential-tremor-dbs-6992/ UW Today: http://www.washington.edu/news/2017/06/27/brain-signals-deliver-first-targeted-treatment-for-worlds-most-common-movement-disorder/ My Science: https://www.myscience.org/wire/brain_signals_deliver_first_targeted_treatment_for_world_s_most_common_movement_disorder-2017-washington Health and Medicine News: http://hmnews.org/research-news/cluster947398100/ E Science News: http://esciencenews.com/sources/newswise.scinews/2017/06/27/brain.signals.deliver.first.targeted.treatment.worlds.most.common.movement.disorder Jersey Tribune: http://jerseytribune.com/2017/06/27/brain-signals-deliver-first-targeted-treatment-for-worlds-most-common-movement-disorder/ BioPortfolio: http://www.bioportfolio.com/news/article/3206632/Brain-signals-deliver-first-targeted-treatment-for-worlds-most-common-movement-disorder.html Science and Technology Research News: http://www.scienceandtechnologyresearchnews.com/brain-signals-deliver-first-targeted-treatment-worlds-common-movement-disorder/ Science Daily: https://www.sciencedaily.com/ releases/2017/06/170627142832. htm Categories Announcements , Closed-Loop DBS BioRobotics Lab at Awesome Con! June 23, 2017 June 23, 2017 by Niveditha Kalavakonda Over the weekend, Ph.D. students Katherine Pratt and Timothy Brown attended Awesome Con, Washington DCs Comic Con. They were panelists for a session titled THE HUMAN-TECHNOLOGY FRONTIER: TO ENHANCEMENT AND BEYOND? at Future Con, a science and technology celebration inside Awesome Con to discuss the intersection of science, engineering and science fiction. They were joined by Dr. Dan Cosley and moderator Dr. Suveen Mathaudhu for a discussion about the cutting-edge research in engineering, computer science, materials, biology, and the social and ethical implications of our increasingly technologically advanced lives. A huge shoutout to the National Science Foundation for making this event possible! Check out some of the pictures from Future Con, courtesy of Kevin Pratt. Panelists (L to R): Dr. Suveen Mathaudhu, Tim Brown, Katherine Pratt, Dr. Dan Cosley Star Talk Live (L to R): Scott Adsit, Katherine Pratt (Woohoo!) and Colonel Chris Hadfield Katherine and Tim sharing their wealth of knowledge with Future Con attendees! Categories Announcements , Outreach Congratulations to our graduates! June 21, 2017 by Niveditha Kalavakonda The BioRobotics Lab had a total of 10 students graduating with their degrees during the Spring of 2017. Nava Aghdasi, DanyingHu, Kevin Huang and Mohammad Haghighipanah graduated with a Ph.D. in Electrical Engineering, Brady Houston with a Ph.D. in Neuroscience, Muneaki Miyasaka with a Ph.D. in Mechanical Engineering, and Jacob Baldassini, Niveditha Kalavakonda, Kyle Lindgren and Yana Sosnovskaya with an M.S in Electrical Engineering. Congratulations to all our graduates on successfully defending their thesis and graduating with their respective degrees! Some of our graduates with Prof. Blake Hannaford (Picture Courtesy: Pegah Hassanzadeh) Categories Announcements Ethics in Neural Engineering June 15, 2017 by Niveditha Kalavakonda CSNE just published an article about work in Neural Engineering done at the BioRobotics Lab. It introduces the importance of having conversations about Neuroethics and the role of our Philosophy Ph.D. student and CSNE member Tim Brown at the lab. Check out the article here . An article co-authored by Ph.D. student Katherine Pratt on work done in neuroethics and neural security was published on The Conversation. You can read the article at this link. Categories Uncategorized BRL Summer Plans! March 13, 2017 by Administrator Our students are going great places this summer! Maggie Thompson is headed to two internships, with Draper Labs this summer and then Northrup Grumman in the fall Tim Brown received a predoctoral fellowship through Humanities Without Borders (learn more here and here ) Katherine Pratt is going to be an intern with the Speech, Privacy, and Technology Project atthe ACLUs office in Seattle, WA Kyle Lindgren is going to be an intern with the Army Research Laboratory this summer Categories Announcements BRL in the News March 6, 2017 March 7, 2017 by Administrator BluHaptics, a spinoff from the BioRobotics Lab, just received $1.3 million in Series A funding from a group of Seattle investors to help it develop a commercial product for delivery later this year. Check out the coverage from these area journals: GeekWire: http://www.geekwire.com/2017/bluhaptics-undersea-software-space/ Robotics Business Review: https://www.roboticsbusinessreview.com/energy-mining/bluhaptics-raises-1-36m-subsea-robotics-software/ PE Hub: https://www.pehub.com/2017/03/software-startup-bluhaptics-nets-1-36-mln-series/ Puget Sound Business Journal: http://www.bizjournals.com/seattle/news/2017/03/01/uw-bluehaptics-snags-1-4m-robotics-software.html Xconomy: http://www.xconomy.com/seattle/2017/03/01/backed-by-seattle-angels-bluhaptics-readies-robot-control-software/# UW EE http://www.ee.washington.edu/spotlight/startup-bluhaptics-raises-1-3m-to-bring-its-underwater-software-to-space/ UW CoMotion http://comotion.uw.edu/news/telerobotics-company-bluhaptics-secures-additional-investments-support-growth ==================================================================== Congrats to BRL professor Blake Hannaford on being named an Amazon Catalyst Fellow. Read the full article here . ==================================================================== BRLalumnus Fredrik Ryden was featured by UW CoMotion for his work as a Commercialization fellow. Read more here . Fredrik and fellow BRL alumnus Charlie Matlack (founder of startup PotaVida) were panel members to prospective EE graduate students as they visited campus last week, discussing how the university supports entrepreneurship. Categories Announcements , BluHaptics , Haptics and Fixtures , Spinoffs Winter Quarter Accomplishments, part 2 March 6, 2017 March 15, 2017 by Administrator Weve had many papers and conference submissions accepted! -Two papers accepted to the8th International IEEE Conference on Neural Engineering in Shanghai, China, May 25-28, 2017: A. Haddock, A. Velisar, J. Herron, H. Bronte-Stewart, H. J. Chizeck, Model Predictive Control of Deep Brain Stimulation for Parkinsonian Tremor B. Houston, M. Thompson, J. Ojemann, A. Ko, H. Chizeck, Classifier Based Closed-Loop Deep Brain Stimulation for Essential Tremor -Paper accepted to be published in IEEE Robotics and Automation Letters: M. Haghighipanah; M. Miyasaka; B. Hannaford, Utilizing Elasticity of Cable Driven Surgical Robot to Estimate Cable Tension and External Force, in IEEE Robotics and Automation Letters , vol.PP, no.99, pp.1-1 -Paper accepted to theHybrid System Control Conference (HSCC): A. Pace, S. Burden, PiecewiseDifferentiable Trajectory Outcomes in Mechanical Systems Subject to Unilateral Constraints -Paper accepted to the International Conference on Robotics and Automation (ICRA) A. Pace, S. Burden, Decoupled limbs yield differentiable trajectory outcomes through intermittent contact in locomotion and manipulation Categories Announcements , Publications and Conferences Winter Quarter Accomplishments, part 1 March 6, 2017 March 13, 2017 by Administrator As winter quarter draws to a close, wed like to highlight some of the achievements of our students: Danying Hu passed her dissertation defense and is now Dr Hu Junjie Yan passed his general exam Maggie Thompson passed her general exam Tyson Heo passed his masters thesis defense! Also, BRL alums Hannah Werbel (left) and Evan Wang (right) were both awarded Undergraduate Medalists! Read more about them here . Congrats to all! Categories Announcements Post navigation Older posts 1 2 11 Next Latest Tweets RT @GattaKat : Hello @SlamSeattle and @OptimismBrewing half an hour until my talk about neural security https://t.co/iPOheUzjFs , Feb 14 RT @uwalert : UW Advisory Seattle :: Snow accumulation causing some tree branches to break, fall around campus. Please use cautio https://t.co/xz0sdS45zF , Feb 12 Our grad student @GattaKat being missed by @RepDelBene is our favorite tweet today! https://t.co/uuewO51Fc1 , Feb 12 Categories Announcements Outreach Publications and Conferences Spinoffs Applied Dexterity BluHaptics C-SATS PotaVida Team News Videos Neural Engineering BCI Optimization BCI Security Closed-Loop DBS Gestureless Touchscreens Surgical Robotics Raven Teleoperation Haptics and Fixtures Sensors for Teleoperation Smart America Teleoperation Security Uncategorized Archives November 2018 December 2017 July 2017 June 2017 March 2017 February 2017 November 2016 October 2016 August 2016 July 2016 June 2016 May 2016 April 2016 March 2016 February 2016 December 2015 November 2015 October 2015 September 2015 August 2015 July 2015 June 2015 May 2015 April 2015 March 2015 February 2015 January 2015 December 2014 November 2014 October 2014 August 2014 July 2014 June 2014 May 2014 April 2014 February 2014 December 2013 November 2013 September 2013 May 2013 April 2013 March 2013 October 2012 July 2012 June 2012 April 2012 February 2012 December 2011 Meta Log in Entries RSS Comments RSS WordPress.org 2019 GeneratePress diff --git a/src/data/compiled_bios/1430.txt b/src/data/compiled_bios/1430.txt new file mode 100644 index 0000000000..b9b9de8685 --- /dev/null +++ b/src/data/compiled_bios/1430.txt @@ -0,0 +1 @@ + NUS Computing Current UG MySoC Email Student Staff Alumni Sidebar Main Menu About Programmes Student Life Research Entrepreneurship Industry Quicklinks Current UG MySoC Email Student Staff Alumni About Departments Industry Advisory Committee Management Faculty & Staff Directory Faculty Photo Directory Admin Photo Directory Expert Directory News Corporate Relations Giving Careers Contact Us Programmes Undergraduate Computer Science Information Systems Computer Engineering Business Analytics Information Security Special Programmes Double Major Minors Resources for Current Students Graduate PhD in Computer Science PhD in Information Systems MSc+PhD (by Research) Master's in Computer Science Master's in Information Systems Master's in Infocomm Security Master's in Artificial Intelligence Master's in Business Analytics Graduate Certificates Graduate Certificate in Computing Foundations Part-time & Executive Education Bachelor of Technology Advanced Computing for Executives Student Life About Us Internships Student Leadership Programme Financial Support/Assistance Student Wellness and Wellbeing Career Services Professional Workshop Student Clubs/Interest Groups Contact Us Research Research Centres Research Areas Entrepreneurship Leadership The Furnace Alumni Companies Funding Opportunities Awards Innovation Research Centres News & Events Contact Us Industry Corporate Relations Contact Us Search ... Home Dept. of Computer Science Biography Ravi SUPPIAH Ravi SUPPIAH Lecturer M.Sc. (Embedded Systems, Nanyang Technological University) B.Eng. (Electrical & Computer Engineering, National University of Singapore) COM2-03-36 651 66561 Research Areas Research Interests Embedded Systems Design & Development Assistive and Rehabilitative Robotics Brain Computer Interface Mr Ravi has wide range of research interests, both in the Computing and Engineering fields, as well as those related to Educational Pedagogy. He hopes to be able to able to use his research in the area of BCI to help those facing challenges caused by neural disorders. Profile Mr Ravi Suppiah is currently a Lecturer with the School of Computing in NUS. He is part of the multidisciplinary Computer Engineering Degree Programme which develops the students computing as well as engineering skills. He teaches modules like EPP1 and EPP2 which are groundbreaking in its teaching pedagogy due to its intensive hands-on experiential approach. In these modules students enjoy the excitement of creating amazing and complex projects in their very first year in school. He also teaches modules like Computer Organization and Real-time Operating Systems which form the foundations for the students to learn more complex modules later on. He is also an active member of the Makers Lab and also conducts several workshops for Secondary School and JC students to expose them to the exciting world of Computing. Mr Ravi Suppiah graduated from the National University of Singapore with a BEng in Electrical & Computer Engineering in 2004. Upon graduation he first joined Republic Polytechnic as one of its pioneer educators. In RP, besides teaching a wide range of subjects, he also took on the role of being the Embedded Systems Division Lead under the Technology Development Committee. While serving this role, he was part of the development team that developed a Zigbee-based Wireless Sensor Network using the T-Kernel platform. This project was a joint-effort between RP, Institute of Infocomm Research (I2C) and Renesas System Solutions. It was showcased in the 2006 TRON show. During his time in RP, Mr Ravi pursued the MSc in Embedded Systems to further develop his skillsets and knowledge in his passion. In 2006, he took on the role of an Embedded Firmware Engineer with Hewlett Packard Singapore. His work in HP involved 2 main groups in the R&D; Lab of the Business Printing Division (BPD). They are the Board Support Group (BSG) and Ink Delivery Systems (IDS). His involvement in BSG required him to develop a base boot-up code to be loaded onto the board. This boot-up code will ensure that all necessary HW components are working properly and that the OS is successfully loaded onto the system. Developing the Boot-Code involves developing and upgrading various low-level drivers like SPI, I2C, MICCI2, NAND together with other protocols that are needed. These drivers are developed based on the associated blocks in the custom Digital ASICs. He also took on the role of being the FW lead for developing Energy Star related features for the printers. This involved discussing the features in a multi-disciplinary group and brainstorming new ideas before actually implementing them. The work done in this area was very important in order to comply with the Energy requirements of several countries before the final products could be shipped to them. Mr Ravi took on the role of Lecturer in NTUs School of Computer Science and Engineering in 2012. In NTU, he has conducted modules such as Microprocessor-Based Systems Design, Microcontroller Programming, Digital Systems Design and FPGA Development. He was also the course coordinator for the Multi-Disciplinary Project (MDP) module that is a critical project module for the students. Besides the conducting of classes, he also took responsibilities in supervising projects for the BEng FYP as well as MSc Dissertation. Besides his academic duties, he was also actively involved in the Outreach Committee where they organized a wide range of activities to engage Secondary School, Polytechnic and JC students. His current research towards the fulfilment of his PhD, is in the area of Brain-Computer Interface (BCI). His focus is on using BCI for Biometric Identification. This is a relatively unexplored area and holds a lot of potential for secure authentication and verification. Besides his current work in NUS, Mr Ravi is also passionate volunteer at SINDA. He believes that it is everyones responsibility to give back to society in whatever way they can. He volunteers his time to conduct free classes and workshops for many children, especially, those from the lower-income families. He hopes that by sharing his own personal journey with these children, they will learn to overcome their own challenges and achieve success in their lives. His efforts were greatly recognized when Senior-Minister-of-State Ms Indranee Rajah wrote a glowing Facebook Post about his efforts and praised him for coming forward to help the society. PM Lee Hsien Loong also spoke about Mr Ravi and his efforts during the General Election television broadcast in 2015. Current Projects Selected Publications Ravi Suppiah, A. P. Vinod, Biometric identification using single channel EEG during relaxed resting state, IET Biometrics, Online ISSN 2047-4946, DOI: 10.1049/iet-bmt.2017.0142 R. Suppiah and M. F. Bin Abbas, "Introducing embedded systems development on a robotics-based platform," 2014 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE), Wellington, 2014, pp. 103-108. doi: 10.1109/TALE.2014.7062597 R. Suppiah and N. S. Q. Shaun, "Introducing microprocessor-based systems design on an ARM softcore using a FPGA and a teaching auxiliary board," 2016 IEEE Global Engineering Education Conference (EDUCON), Abu Dhabi, 2016, pp. 751-756. doi: 10.1109/EDUCON.2016.7474636 R. Suppiah, "Motor-imagery analysis without the use of sensorimotor cortex signals," 2015 10th International Conference on Information, Communications and Signal Processing (ICICS), Singapore, 2015, pp. 1-5. doi: 10.1109/ICICS.2015.7459975 Awards & Honours Teaching (2018/2019) CG1111: Engineering Principles and Practice I CS2100: Computer Organisation CG2271: Real-Time Operating Systems CG1112: Engineering Principles and Practice II JavaScript is currently disabled. 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Home Dept. of Computer Science Biography Colin TAN Colin TAN Senior Lecturer PhD (NUS) MSc. (NUS) BSc. (Computer and Information Science) (NUS) COM2-02-08 651 67352 Research Areas Systems & Networking Artificial Intelligence Research Interests defeasible reasoning, belief revision, epistemic logic, ontologies, dialog and discourse modeling, chance discovery Defeasible reasoning, belief functions, speech recognition and dialog systems Profile Colin is a senior lecturer at the Department of Computer Science, NUS School of Computing. He specializes in embedded systems and operating systems related courses. Colin has taught courses on real-time system design, operating systems, programming methodology, and had taught a course on software product development for digital markets. In this course students are given a semester to build three production quality software systems, with the first two being on Facebook and on HTML5, and in the third project students are given free rein on the technologies that they would like to use. The third project is particularly beneficial to students, as they get real first-hand experience in building a software product, from conceptualizing, validating their concept with users, to User Interface (UI) design, UI validation with users, building the system, and finally to marketing their systems to recruit thousands of users before their project submission deadline. Projects completed in this module have spawned startups like Pearcomms, HunQRy and PaperBaton, while alumni in this course have gone on to careers in tech giants like Facebook, Google and Microsoft. Colin, together with two other CS colleagues and three ECE colleagues, is currently teaching a course that gives first-year Computer Engineering students first-hand experience in building non-trivial computer systems like tele-operated robots. Students learn key issues of high-efficiency hardware programming, dealing with electro-mechanical issues like variations in motor and gearbox quality, secure network communications, and real-time mapping of the environment using algorithms like SLAM. They also pick up key skills like performing independent research, and learning how to improvise to solve problems with limited resources. Colin also runs courses in drone design, construction and programming. Colin has written a lightweight operating system for the Arduino called ArdOS that fits into less than a kilobyte of memory, available at https://bitbucket.org/ctank/ardos-ide/wiki/Home. He has also written several other libraries for the Arduino including smartTimer, a library for writing timer-based embedded systems, which also includes a software-based real-time clock for the Arduino, and smartSerial, a bare-metal bare-bones serial communications library for the Arduino. His Bitbucket repository is available at https://www.bitbucket.org/ctank. Colin is Lab Coordinator for Makers@SoC, a maker space that was recently set up to give students a chance to immerse themselves in maker culture, which is a blend of DIY and technology. Makers@SoC addresses two key concerns of the industry: that we are producing technology professionals who can only code and cannot build anything physical - a key concern in fields like IoT - and that CS majors may not have a good appreciation of the hardware on which they build their systems. Makers@SoC runs courses in 3D modeling, basic electronics, microcontroller interfacing and programming, circuit design and fabrication, and through-hole and surface-mount soldering. Colin is Chairperson for the IT Software Solutions for Business trade for Worldskills Singapore 2016 and Worldskills Singapore 2018, and has been a long-time General Secretary for the National Olympiad for Informatics (NOI) competition. Outside of academia Colin reads widely into Catholic theology, is a sponsor and a speaker at the Rite of Christian Initiation of Adults (RCIA) Programme, and is a council member and a formation instructor at the Secular Order of Discalced Carmelites (OCDS) in the Roman Catholic Church of Singapore. He is also an avid foodie, a cigar collector, an enthusiast of retro technology, and a somewhat decent and fairly eclectic cook. Current Projects Selected Publications Awards & Honours Teaching (2018/2019) CG1111: Engineering Principles and Practice I CG1112: Engineering Principles and Practice II JavaScript is currently disabled. Please enable it for a better experience of Jumi . Undergraduate Programmes Computer Science Information Systems Computer Engineering Business Analytics Information Security Special Programmes Undergraduate Brochure Admissions Undergraduate Graduate Financial Aid Graduate Programmes PhD in Computer Science PhD in Information Systems Master's in Computer Science Master's in Information Systems Master's in Infocomm Security Master's in Artificial Intelligence Master's in Business Analytics Graduate Certificates Graduate Certificate in Computing Foundations Part-time & Executive Education Bachelor of Technology Advanced Computing for Executives Organisation About Dept. of Computer Science Dept. of Information Systems and Analytics Industry Advisory Committee Management Faculty & Staff Directory Faculty Photo Directory Admin Photo Directory Expert Directory News Corporate Relations Giving Careers Resources MySoC Email Student Staff Events Calendar IVLE Library Alumni Facilities & Services Student Jobs NUS School of Computing Computing 1 13 Computing Drive Singapore 117417 +65 6516 2727 Contact Us Directions Organisation About Dept. of Computer Science Dept. of Information System and Analytics Industry Advisory Committee Management Staff Directory Faculty Photo Directory Admin Photo Directory News Corporate Relations Giving Careers Resources MySoC Email Student Staff Events Calendar IVLE Library Alumni Facilities & Services Student Jobs IMIN National University of Singapore . All Rights Reserved. Legal Branding guidelines Contact us JavaScript is currently disabled. Please enable it for a better experience of Jumi . diff --git a/src/data/compiled_bios/1433.txt b/src/data/compiled_bios/1433.txt new file mode 100644 index 0000000000..cb6dfab0c1 --- /dev/null +++ b/src/data/compiled_bios/1433.txt @@ -0,0 +1 @@ + if !vml endif Associate Professor and Vice Dean, Student Life email: gtan@comp.nus.edu.sg Tel: (65) 6516 6276 Gary Tan was a pioneer in the Direct Honours Programme of the National University of Singapore and received his B.Sc ( 1st class Honours ) from NUS . He received his M.Sc and Ph.D from the University of Manchester , U.K. He has been lecturing at the School of Computing , National University of Singapore since 1990, and was the recipient of Teaching Awards of the Faculty of Science in both 1992 and 1998, the Teaching Excellence Awards from the School in 1999 and 2002, and the NUS Annual Teaching Excellence Award for 03/04, 04/05 and 06/07. He is also on the ATEA Honour roll for 2008. His research interests include parallel and distributed computing, scheduling and load balancing, declarative multiprocessors, parallel and distributed (interactive) simulation and High Level Architecture. He is currently working on Symbiotic Simulation and Traffic Simulation. He is a member of the Modelling and Simulation Group which is part of the Computer Systems Lab . He has served as Chair of the NUS PROSE committee, a cross-faculty agency tasked with promoting the use of good English in the University. He was also a Resident Fellow of Kent Ridge Hall (1993-2003) , and was Master of Sheares Hall (2003-2013). He is now Vice Dean of Student Life at the school. He has had project collaborations with KTH (Royal Institute of Technology) ,Sweden , and FOI (Swedish Defence Research Agency), and is a collaborator with SMART , and Beihang University . He serves on the program committee of Distributed Simulation and Real-time Systems Symposium, and is on the Editorial Board of the International Journal of Modelling, Simulation, and Scientific Computing (World Scientific). He is a member of ASIASIM federation, and was Co-chair of AsiaSim2013 ( held in Singapore in November 2013). He was Program Chair of DSRT 2016 held in London, and Conference Co-chair of SIMUTOOLS 2016 held in Prague. He is President of the Society of Simulation and Gaming of Singapore ( SSAGsg ). Research Students supervised Current Students Vu Vinh An Ph.D Strategy Simulation for Traffic Simulation M. Shalihin bin Othman Ph.D Framework for Predictive Evacuation Past Students Yu Jun Masters High Level Architecture/DDM Ng Wee Ngee Accel Masters Distributed Supply Chain Simulation Karthik Shenoy Masters Parallelism in HLA environment Hu Yu Masters Automated Federate Compatibility Matcher Zhao Na Masters Object Exchange Template in Distributed Supply Chain Zhang Gong Masters Peer to Peer Computing Hausi Horatiu Intern HLA Federation across Continents Liu Peng Masters A UML-based Tool for Designing HLA Federates Anders Persson Intern Migration and Load Balancing in HLA-based Distributed Simulation Laura Andreescu Exchange A Study of Spread of Bird Flu Shahab Mokarizadeh Intern Composability of Simulation Models Akbari Shahmirzadi Intern Composability of Simulation Models Seth Hetu Ph.D A Symbiotic Framework for Crisis Management Simulation Xu Yan Ph.D Performance Improvements for Real-time Traffic Simulation Research Projects Principal Investigator, Object and Data Management in Distributed Real-time Simulation, University Research Grant (Nov 98 - Jun 02) Principal Investigator, Cluster-based Distributed Simulation Using HLA, research collaboration with CSO, MINDEF (Oct 99 - Sep 02) Collaborator, Performance Improvements of Web-Servers, University Research Grant Principal Investigator, Distributed Supply Chain Simulation, University Research Grant (Dec 01 - Nov 03) Principal Investigator, An Architecture for Developing Reusable Simulation Model Components, Defence Innovative Research Programme , DSTA grant (May 02 - Apr 04) Principal Investigator, Composability of Simulation Models, University Research Grant (Feb 05 - Jan 08) Principal Investigator, A Framework for Symbiotic Simulation of Crisis Management (Sep 07 - Aug 10) Principal Investigator, Parallel, Scalable Transporation Simulation (June 12 Dec15) Principal Investigator, Future Urban Mobility II (Jun 16 Dec 17) Selected Publications Last Updated: 1 Nov 2017 diff --git a/src/data/compiled_bios/1434.txt b/src/data/compiled_bios/1434.txt new file mode 100644 index 0000000000..6ffee32b54 --- /dev/null +++ b/src/data/compiled_bios/1434.txt @@ -0,0 +1 @@ + "If you think education is expensive, try ignorance." - Jeff Rich. What about MOOC? Kian-Lee Tan Tan Sri Runme Shaw Senior Professor, School of Computing Fax: +(65) 6779-4580 Tel: +(65) 6516-2862 Email: tankl AT comp DOT nus.edu.sg Senior Faculty Member NUS Graduate School for Integrative Science and Engineering [ PDF/Students ] [ Research ] [ Teaching ] [ Publications ] [ Professional Activities ] [ Bio-Data (CV) ] Poems/Comics/Precious lessons The Greatest Verse Save me from myself today A Prayer Keep the Fork An Interview with God Where was God when my son died? God Leads a Pretty Sheltered Life When Sorrow walked with me But, You Are Not Home Yet The Parable of the Cracked Pot The Clock Continues to Tick How Would You Fill In The Blank? A Voice From Hell The Street Bum The Burning Hut A Sparrow Be a Copper Kettle Example of Love Double Debt Whose Hands? Paradoxes Sin A Quarter Anyway Moment By Moment The Butterfly Parable of the Pencil Everybody can do something Is God Showing Through in You? When You Thought I Wasn't Looking Our Father Knows What's Best For Us Thank God I'm Not Super-Intelligent! Question of the Day: "In all His people, CHRIST is present; in some, He is prominent; in a few, He is preeminent" F.B. Meyer. To which of these classes do you belong? diff --git a/src/data/compiled_bios/1435.txt b/src/data/compiled_bios/1435.txt new file mode 100644 index 0000000000..292f8620a2 --- /dev/null +++ b/src/data/compiled_bios/1435.txt @@ -0,0 +1 @@ +Dr. TAN Sun-Teck email: tanst@comp.nus.edu.sg Tel: (65) 6516 2778 Dr. Tan received his Bachelor's degree from Nanyang University, Singapore in 1980, M.Sc and Ph.D. from Essex University in 1984 and 1989 respectively. His research interests include Multimedia Computer-based Tutoring System, Artificial Intelligence and Chinese Computing. diff --git a/src/data/compiled_bios/1436.txt b/src/data/compiled_bios/1436.txt new file mode 100644 index 0000000000..e0125bd23a --- /dev/null +++ b/src/data/compiled_bios/1436.txt @@ -0,0 +1 @@ + Tan Tiow Seng, PhD (UIUC) Publications / Projects: An O(n^2 log n) Time Algorithm for the MinMax Angle Triangulation (200K) in gzip format (65K), and in pdf (246K) H. Edelsbrunner, T.S. Tan, and R. Waupotitsch SIAM Journal on Scientific & Statistical Computing, vol. 13, no. 4, July 1992, pp. 994--1008. Optimal Two-Dimensional Triangulations (791K) in gzip format (241K), and in pdf (798K) T.S. Tan. PhD Thesis, Department of Computer Science, University of Illinois at Urbana-Champaign, 1992. A Quadratic Time Algorithm for the MinMax Length Triangulation (300K) in gzip format (99K), and in pdf (345K) H. Edelsbrunner, and T.S. Tan. SIAM Journal on Computing, vol. 22, no. 3, June 1993, pp. 527--551. Edge Insertion for Optimal Triangulations (221K) in gzip format (68K), and in pdf (263K) M. Bern, H. Edelsbrunner, D. Eppstein , S. Mitchell, and T.S. Tan Discrete & Computational Geometry, vol. 10, no. 1, July 1993, pp. 47--65. An Upper Bound for Conforming Delaunay Triangulations (214K) in gzip format (66K), and in pdf (259K) H. Edelsbrunner, and T.S. Tan. Discrete & Computational Geometry, vol. 10, no. 2, August 1993, pp. 197--213. Optimal Triangulation Problems (105K) in gzip format (33K), and in pdf (146K ) T.S. Tan. The 3rd International Congress on Industrial and Applied Mathematics (ICIAM 95) Zeitschrift fur Angewandte Mathematik and Mechanik , vol. 7, supplement issue 3, 1996, pp. 195--198. An Optimal Bound for High-Quality Conforming Triangulations (578K) in gzip format (139K), and in pdf (381K) T.S. Tan. Discrete & Computational Geometry, vol. 15, 1996, pp. 169--193. Model Simplification using Vertex Clustering ( pdf , 798K) Colorplate ( gzip ) (468K) K.L. Low, and T.S. Tan The 1997 Symposium on Interactive 3D Graphics, pp. 75--81. Multi-Resolution Graphics Representation Generated By Weight-Controlled Vertex Clustering For Interactive Visualization Application (SUMMARY) (150K) Some examples: simplifly , K.L. Low, and T.S. Tan Resolving Occlusion in Image Sequence Made Easy. ( pdf , 560K) The Visual Computer, vol. 14, no. 4, October 1998, pp. 153--165. K.C. Ong, H.C. Teh, and T.S. Tan Computing Bounding Volume Hierarchy using Model Simplification ( pdf , 1.3M) T.S. Tan, K.F. Chong, and K.L. Low The 1999 ACM Symposium on Interactive 3D Graphics, April 26-28, Atlanta , Georgia , USA , pp. 63--69, pp. 223. Preprocessing Occlusion for Real-Time Selective Refinement ( pdf , 1.3M) F.A. Law and T.S. Tan The 1999 ACM Symposium on Interactive 3D Graphics, April 26-28, Atlanta, Georgia, USA, pp. 47--53, pp. 221. Decomposing Polygon Meshes for Interactive Applications ( pdf , 170K) X.T. Li, T.W. Woon , T.S. Tan and Z.Y. Huang The 2001 ACM Symposium on Interactive 3D Graphics, March 19-21, North Carolina, USA, pp.35--42, pp. 243. Interactive Control of Component-based Morphing, project homepage Y.H. Zhao, H.Y. Ong, T.S. Tan and Y.G. Xiao The 2003 ACM SIGGRAPH/ Eurographics Symposium on Computer Animation, July 26-27, California, USA, pp. 339--348, pp. 385. Anti-aliasing and Continuity with Trapezoidal Shadow Maps, project homepage . See other follow-up work . T. Martin and T.S. Tan The 2004 Eurographics Symposium on Rendering, 21-23 June, Norrkping , Sweden , pp. 153--160, pp. 412. Rendering Anti-aliased Line Segments, project homepage K.H. Wong, X. Ouyang , C.W. Lim, T.S. Tan and J. Nievergelt The 2005 Computer Graphics International, 22-24 June, Stony Brook , New York , USA , pp. 198--205, pp. 277. Generating an -tile Set for Texture Synthesis, project homepage T.Y. Ng, C.H. Wen, T.S. Tan, X.Y. Zhang and Y.J. Kim. The 2005 Computer Graphics International, 22-24 June, Stony Brook , New York , USA , pp. 177--184, pp. 274. Analyzing Pre-fetching in Large-scale Visual Simulation, project homepage C.M. Ng, C.T. Nguyen, D.N. Tran, T.S. Tan and S.W. Yeow . The 2005 Computer Graphics International, 22-24 June, Stony Brook , New York , USA , pp. 100--107. Jump Flooding in GPU with Applications to Voronoi Diagram and Distance Transform, project homepage G.D. Rong and T.S. Tan. The 2006 ACM Symposium on Interactive 3D Graphics and Games, 14-17 March, Redwood City, CA, USA, pp. 109--116, pp. 228. Surface Reconstruction by Layer Peeling, project homepage C.W. Lim and T.S. Tan. The Visual Computer, vol. 22, no. 9--11, September 2006, pp. 593--603. ( Special Issue: The 2006 Pacific Graphics, 11-13 October, Taipei , Taiwan ) . Utilizing Jump Flooding in Image-based Soft Shadows, project homepage G.D. Rong and T.S. Tan. The 2006 ACM Symposium on Virtual Reality Software and Technology, 1-3 November, Limassol , Cyprus , pp. 173--180. Variants of Jump Flooding Algorithm for Computing Discrete Voronoi Diagrams, project homepage G.D. Rong and T.S. Tan. The 2007 International Symposium on Voronoi Diagram in Science and Engineering, 9-12 July, Pontypridd , Wales, UK, pp. 176-- 181. Model-Guided Segmentation of 3D Neuroradiological Image Using Statistical Surface Wavelet Model ( pdf , 2.8M), video 26.1M Y. Li, T.S. Tan, I. Volkau and W. Nowinski . The 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 18-23 June, Minneapolis, Minnesota, USA. Computing Two-dimensional Delaunay Triangulation Using Graphics Hardware, project homepage G.D. Rong, T.S. Tan, Thanh-Tung Cao and Stephanus The 2008 ACM Symposium on Interactive 3D Graphics and Games, 15-17 Feb, Redwood City , CA , USA , pp. 89 --97. Optimizing the Parallel Computation of Linear Recurrences using Compact Matrix Representation Here A. Nistor , W.N. Chin, T.S. Tan, and N. Tapus J. of Parallel and Distributed Computing, vol 69 (2009) 373381. Parallel Banding Algorithm to Compute Exact Distance Transform with the GPU, project homepage T.T. Cao, K. Tang, A. Mohamed, and T.S. Tan The 2010 ACM Symposium on Interactive 3D Graphics and Games, 19-21 Feb, Maryland , USA , pp. 83--90. A 3D Convex Hull Algorithm for Graphics Hardware, project homepage M. Gao , T.T. Cao, T.S. Tan, and Z.Y. Huang The 2011 ACM Symposium on Interactive 3D Graphics and Games, 18-20 Feb, San Francisco, USA. Computing Two-dimensional Constrained Delaunay Triangulation Using Graphics Hardware project homepage M. Qi , T.T. Cao, and T.S. Tan The 2012 ACM Symposium on Interactive 3D Graphics and Games, 9-11 Mar, Orange County, CA, USA, pp 39--46. and also appeared in IEEE Transactions on Visualization and Computer Graphics, vol 19(5), 2013, pp 736--748. Flip-Flop: Convex Hull Construction via Star-Shaped Polyhedron in 3D project homepage M. Gao , T.T. Cao, T.S. Tan, and Z.Y. Huang The 2013 ACM Symposium on Interactive 3D Graphics and Games, 21-23 Mar, Orlando, Florida, USA, pp 45--54. A GPU accelerated algorithm for 3D Delaunay Triangulation project homepage T.T. Cao, A. Nanjappa, M. Gao, and T.S. Tan The 2014 ACM Symposium on Interactive 3D Graphics and Games, 14-16 Mar, San Francisco, CA, USA, pp 47--54. Computing Delaunay Refinement Using the GPU project homepage Z. Chen, M. Qi, and T.S. Tan The 2017 ACM Symposium on Interactive 3D Graphics and Games, 25-27 Feb, San Francisco, CA, USA. Contact: School of Computing (see campus directory or school link ) National University of Singapore Computing 1 13 Computing Drive Singapore 117417 Republic of Singapore Phone: (+65) 6516-6764 (office AS6-04-10 ), 6516-6559 (lab AS6-04-11) Fax: (+65) 6779-4580 Email: tants@comp.nus.edu.sg Feb 2017 diff --git a/src/data/compiled_bios/1437.txt b/src/data/compiled_bios/1437.txt new file mode 100644 index 0000000000..395346bc58 --- /dev/null +++ b/src/data/compiled_bios/1437.txt @@ -0,0 +1 @@ + TEO Yong Meng Associate Professor of Computer Science Affiliate Professor, NUS Business Analytics Centre Department of Computer Science National University of Singapore 13 Computing Drive, Singapore 117417 Office : Com2, #04-39 Tel : (65) 6516 2830 Fax : (65) 6779 4580 E-mail: teoym @comp.nus.edu.sg URL : www.comp.nus.edu.sg/~teoym Profile Teo Yong Meng is an Associate Professor with the Department of Computer Science at the National University of Singapore (NUS) and an affiliate Professor at the NUS Business Analytics Centre. At the School of Computing, he is the technical leader for Systems & Networking. He was a Visiting Professor at the Chinese Academy of Sciences in China from 2010 to 2014. From Jan 2007 to Dec 2008, he was an Honorary Advisor (Directors Office) and Associate Senior Scientist in the Asia-Pacific Science & Technology Centre at Sun Microsystems Inc. He has held various visiting positions at MIT (2010), The Royal Institute of Technology in Sweden (2005), Hitachi Central Research Laboratory in Japan (1996) among others. He received his MSc (1987) and PhD (1989) in Computer Science from the University of Manchester (UK). He holds a BTech (1st Class Honours) degree (1983) in computer science from the University of Bradford (UK). Professor Teos research focuses on advancing the time-energy-cost performance of modern processor systems (clusters, cloud and edge) and modeling and formalization of emergence in complex systems among others. His research has been published in Performance Evaluation Journal , IEEE Transactions on Parallel and Distributed Systems , ACM Transactions on Modeling and Computer Simulation , Journal of Parallel and Distributed Computing , Information Processing Letters , Bioinformatics Journal , Journal of Simulation , Simulation: Transactions of The Society for Modeling and Simulation , International Journal of Modeling and Simulation, ACM SIGMETRICS , IEEE International Parallel & Distributed Processing Symposium, International Conference on Parallel Processing, Inter national Conference on Algorithms and Architectures for Parallel Processing, International Conference on Very Large Data Bases , IEEE Conference on Modeling, Analysis and Simulation of Computer and Telecommunication Systems , IEEE Cluster Conference , INFORMS Winter Simulation Conference , ACM SIGSIM Conference on Principles of Advanced Discrete Simulation , International Conference on Formal Engineering Methods . Research Interests [ keynotes/invited talks ] parallel & distributed computing, performance evaluation, model & simulation Teaching computer systems performance analysis, cloud computing, parallel computing Awards & Honours 1. INFORMS Winter Simulation Conference, Best Paper Award (2015) 2. Prime Ministers Office Singapore, Singapore National Day Award (Long Service Medal) (2014) 3. 26th IEEE International Parallel & Distributed Processing Symposium, PhD Forum Best Paper Award (2012) 4. 10th International Conference on Algorithms and Architectures for Parallel Processing, Best Paper Award (2010) 5. Singapore-MIT Alliance for Research and Technology (SMART) Innovation Grant Award (2010) 6. INFORMS Winter Simulation Conference, ACM SIGSIM Best PhD Student Paper Award (2009) 7. Sun Microsystems Inc. (USA), Research Awards (2007-2012) 8. NUS-Motorola Technopreneurship Competition, Silver Award (2004) 9. ACM/IEEE Workshop on Parallel and Distributed Simulation, Best Paper Award nominee (2004) 10. 3th Startup@Singapore National Techno-Venture Business Plan Competition, Top Team (2002) 11. ACM/IEEE Workshop on Parallel and Distributed Simulation, Best Paper Award nominee (1998) 12. UK Overseas Research Studentship Award (1986-1989) 13. UK Research Studentship Award (1986-1989) 14. National University of Singapore, Overseas Research Scholarship (1986-1989) Personal Profile Research Teaching Publications Others Last updated: 15 May 2018 This document, index.html , has been accessed 106512 times since 21-Nov-26 08:40:22 SGT. This is the 15th time it has been accessed today. A total of 33008 different hosts have accessed this document in the last -2831 days; your host, irg-138.ip.ctc.biz , has accessed it 9 times. If you're interested, complete statistics for this document are also available, including breakdowns by top-level domain, host name, and date. diff --git a/src/data/compiled_bios/1438.txt b/src/data/compiled_bios/1438.txt new file mode 100644 index 0000000000..75ea6e301b --- /dev/null +++ b/src/data/compiled_bios/1438.txt @@ -0,0 +1 @@ + Anthony K. H. TUNG if !vml endif if !vml endif To be constantly learning and practicing what you learn, isn't it the greatest joy of all ? To have bosom friends who share your learning from all over the world, doesn't it bring the greatest happiness ? To be unknown to people and yet remain undisturbed, isn't that an act of the most virtuous man ? --- The Analects , Chapter 1:1 "I have a lot of respect for people, not because of their talent but for what they do with their talent and how they get the maximum from their talent. What do you do to get talent? You have the right genes, or the right parents. But what you do with that talent is down to you. I have met many people who had lots of talent, but they never did anything." --- Arsene Wenger on "talent", Sep 2007 Anthony's other 5 cents in life For the researcher that is in every one of us: 1 , 2 , 3 Anthony K. H. Tung is currently an Associate Professor in the Department of Computer Science , National University of Singapore (NUS) and a junior faculty member in the NUS Graduate School for Integrative Sciences and Engineering and a SINGA supervisor. He received both his B.Sc .( 2nd Class Honour ) and M.Sc. in computer sciences from the National University of Singapore in 1997 and 1998 respectively. In 2001, he receive the Ph.D. in computer sciences from Simon Fraser University (SFU). New: Slides of my talk on Big Data Analytics: Foundation and Application are available here if !supportLists endif Projects if !supportLists GENIE and LAMP: GENeric IndEx and semi-LAzy Mining Paradigm if !supportLists Readpeer: Social Annotation and Enrichment of Documents if !supportLists Trendspedia: Collaborative Trends Discovery on Wikipedia if !supportLists if !supportLists endif Publications (Google Scholar Profile ) if !supportLists endif Research Associates and Students if !supportLists endif Potential Students if !supportLists endif Please read this to understand more about my style before talking to me: The Heartwares of Research , Halfway Through if !supportLists endif Courses 2010 if !supportLists endif VLDB Summer School . Organized by Northeastern U. of China, Shenyang. Sponsored by VLDB Endownment . 2007 if !supportLists endif CS6220: Advanced Topics in Data Mining if !supportLists endif CS4220: Data Mining in Bioinformatics if !supportLists endif Data Mining: Foundation, Techniques and Applications Detailed Syllabus News Lecturesin Frontier of Data Engineering and Knowledge Engineering, Organized by China 's Key Lab. of Data and Knowledge Engineering, Renmin University of China if !supportLists endif Talks if !supportLists endif Halfway Through Given at East China Normal University, July, 2008 if !supportLists endif System Building: How does it help or hinder research WAIM 2008 Panel if !supportLists endif What can the Internet Do for the Underserved Given at WAIM/ APWeb 2007 Panel if !supportLists endif What I Think Will Bring a Successful Career in Asia Given at ACM SIGMOD'2007 New Researcher Symposium if !supportLists endif Sample Enumeration Methods For Mining Microarray Datasets ( html ) G iven at Renmin University, Fudan Univeristy , Shanghai Center for Bioinformation Technology, IIT Bombay, Simon Fraser University and IBM Toronto if !supportLists endif if !supportLists endif Professional Activities if !supportLists endif Reviewer for Journal if !supportLists endif TKDE if !supportLists endif Conference Organizers if !supportLists endif Co-PC Chair : COMAD'06 if !supportLists endif Vice PC Chair(Pre-processing): SIAM'07 if !supportLists endif Vice PC Chair: ICDE'09, Shanghai, China, 2009 if !supportLists endif Poster Chair: WWW 2010 if !supportLists endif Workshop Chair: VLDB 2010 if !supportLists endif Vice PC Chair: ICDE 2012 if !supportLists endif Research PC Co-chair: VLDB 2012 if !supportLists endif PC Member for Conferences if !supportLists endif ICDE10, SIGMOD10 if !supportLists endif COMAD'09 , KDD09, ICDE09 if !supportLists endif ICDE'08 , SIGMOD'08, VLDB'08, KDD'08, if !supportLists endif ICDE'07 , SIGMOD'07 , SSDBM'07 , KDD'07 if !supportLists endif ICDE'06 , ICDE'06(Demo) , EDBT'06(Demo) , VLDB'06 , SIGKDD'06 , CIKM'06 if !supportLists endif DMGrid'05 , COMAD'05b(Demo) , VLDB'05(Demo) , SIGMOD'05(Demo) , if !supportLists endif ICDE'05 , SMDB'05 , DASFAA'05 , COMAD'05 , PAKDD'02 if !supportLists endif Keynote Speech if !supportLists endif Go Green: Recycle and Reuse Frequent Patterns. DBSW'2004 if !supportLists endif Panels and Tutorials if !supportLists endif Core Database Research: Is it relevant anymore ?. COMAD'2005 if !supportLists endif Data Mining Techniques for Microarray Datasets. ICDE'2005 if !supportLists endif Data Mining Techniques for Microarray Datasets. DASFAA'2005 if !supportLists endif Impact of Double Blind Reviewing on SIGMOD Publication: A More Detailed Analysis if !supportLists endif A finding which is contrary to the one published in SIGMOD Record if !supportLists endif Project Proposals: Honours (Use your UNIX id/password) if !supportLists endif if !supportLists endif Album and Video Free counter diff --git a/src/data/compiled_bios/1439.txt b/src/data/compiled_bios/1439.txt new file mode 100644 index 0000000000..3dd8b1c321 --- /dev/null +++ b/src/data/compiled_bios/1439.txt @@ -0,0 +1 @@ + If your browser doesn't automatically go there within a few seconds, you may want to go to the destination manually. diff --git a/src/data/compiled_bios/144.txt b/src/data/compiled_bios/144.txt new file mode 100644 index 0000000000..e5d9810115 --- /dev/null +++ b/src/data/compiled_bios/144.txt @@ -0,0 +1 @@ + University of Washington College of Engineering A Community of Innovators Home People Research Papers EE Home Wind Integration Research Lab (WIRL) Our Research: Renewable Energy is an increasingly important topic on both the national and international stage. Wind energy is a fast growing renewable source and is second only to hydro in terms of renewable energy capacity. There are many technical challenges associated with high levels of wind penetration in a power system, and, as wind energy grows, the need for solutions to these challenges is more pressing. Our group seeks to address the challenge of wind variability and unpredictability on the time scale of hours to days ahead. Our goal is to quantify how wind variability and unpredictability effect different types of conventional generation by running unit commitment simulations. College of Engineering | University of Washington | Contact COE | Search Copyright 1999-2008 University of Washington diff --git a/src/data/compiled_bios/1440.txt b/src/data/compiled_bios/1440.txt new file mode 100644 index 0000000000..39f480cc29 --- /dev/null +++ b/src/data/compiled_bios/1440.txt @@ -0,0 +1 @@ + Home Home Wei WANG Assistant Professor Computer Science School of Computing National University of Singapore Email: wangwei At comp.nus.edu.sg Tel: (65) 6601 3785 Office: COM2 Building, #04-09, 15 Computing Drive, Singapore 117418 I am an Assistant Professor in the Department of Computer Science, National University of Singapore (NUS). I got my B.S. from Renmin University of China in 2011 and PhD from NUS in 2017. My research interests include deep learning systems and applications for multimedia data. I am currently working on (distributed) deep learning system optimization and multi-modal data analysis for image retrieval. Research Opportunities For PhD students : I am looking for PhD students to collaborate on deep learning related research problems, including deep learning systems and applications. For research fellows : I am looking for a research fellow . The position is available immediately but the start date is flexible. Please send me an email with your CV and transcripts to apply. Recent News Sep, 2018. ScatterNet paper is accepted to IEEE Trans. Vis. Comput. Graph. Sep, 2018. Rafiki paper is accepted to VLDB 2019. Aug, 2018. I am teaching CS5228 on Data Mining and Knowledge Discovery. Publications Rafiki: Machine Learning as an Analytics Service System . Wei Wang, Sheng Wang, Jinyang Gao, Meihui Zhang, Gang Chen, Teck Khim Ng, Beng Chin Ooi, and Jie Shao. Accepted in VLDB 2019. ScatterNet: A Deep Subjective Similarity Model for Visual Analysis of Scatterplots . Yuxin Ma, Anthony K. H. Tung, Wei Wang, Xiang Gao, Zhigeng Pan, Wei Chen. Accepted in Transactions on Visualization and Computer Graphics 2018. Capturing Feature-Level Irregularity in Disease Progression Modeling Kaiping Zheng, Wei Wang, Jinyang Gao, Kee Yuan Ngian, Beng Chin Ooi, and Wei Luen James Yip. CIKM 2017. Cross-Domain Image Retrieval with Attention Modeling . Xin Ji, Wei Wang, Meihui Zhang, and Yang Yang. ACM Multimedia 2017. Deep Learning at Scale and At Ease . Wei Wang, Gang Chen, Haibo Chen, Tien Tuan Anh Dinh, Jinyang Gao, Beng Chin Ooi, Kian-Lee Tan, and Sheng Wang. ACM Transactions on Multimedia Computing Communications and Applications(TOMM) - Special Section on Best Papers of ACM Multimedia 2015, Volume 12 Issue 4s, November 2016. Database Meets Deep Learning: Challenges and Opportunities . Wei Wang, Meihui Zhang, Gang Chen, H.V. Jagadish, Beng Chin Ooi, and Kian-Lee Tan. ACM SIGMOD Record 2016. SINGA: Putting Deep Learning in the Hands of Multimedia Users . Wei Wang, Gang Chen, Tien Tuan Anh Dinh, Jinyang Gao, Beng Chin Ooi, Kian-Lee Tan, and Sheng Wang. ACM Multimedia 2015. Best paper candidate, slides . SINGA: A Distributed Deep Learning Platform . Beng Chin Ooi, Kian-Lee Tan, Sheng Wang, Wei Wang, Qingchao Cai, Gang Chen, Jinyang Gao, Zhaojing Luo, Anthony K. H. Tung, Yuan Wang, Zhongle Xie, Meihui Zhang, and Kaiping Zheng. ACM Multimedia (Open Source Software Competition) 2015, project . Effective Deep Learning Based Multi-Modal Retrieval . Wei Wang, Xiaoyan Yang, Beng Chin Ooi, Dongxiang Zhang, and Yueting Zhuang. VLDB Journal 2015 - Special issue of VLDB14 best papers, code . Effective multi-modal retrieval based on stacked autoencoders . Wei Wang, Xiaoyan Yang, Beng Chin Ooi, Dongxiang Zhang, and Yueting Zhuang. VLDB 2014. Best paper candidate, project . Cross-media hashing with neural networks. Yueting Zhuang, Zhou Yu, Wei Wang, Fei Wu, Siliang Tang, and Jian Shao. ACM Multimedia 2014 (short paper). Continuously monitoring the correlations of massive discrete streams. Yueguo Chen, Wei Wang, Xiaoyong Du, and Xiaofang Zhou. CIKM 2011 (short paper). Projects Singa . Apache incubator project for developing a distributed deep learning system. Foodlg . A health tracking and analysis App based on deep learning. Professional Activities Program Committee member of VLDB 2018 Program Committee member of ICDE 2018 Program Committee member of DASFFA 2017 Program Committee member of ACM Multimedia 2015 links Apache SINGA DBSystem Foodlg 2018 Wei WANG Powered by Hexo . Theme by PPOffice diff --git a/src/data/compiled_bios/1441.txt b/src/data/compiled_bios/1441.txt new file mode 100644 index 0000000000..06ebcf10f9 --- /dev/null +++ b/src/data/compiled_bios/1441.txt @@ -0,0 +1 @@ + Limsoon Wong Kwan-Im-Thong-Hood-Cho-Temple Chair Professor of Computer Science School of Computing and Acting Executive Director NUS Graduate School for Integrative Sciences and Engineering National University of Singapore Experience is the worst teacher. It always gives the test first and the instructions afterward. Computational Biology Lab @ NUS SOC frequently accessed sites WLS's calendar for-wls-only pagecount statistics Honours Publications and Courses Activities , Projects , and Openings My academic genealogy What ORCiD , ISI , Scholar Index , Google Scholar , DBLP , and Google have on me Limsoon Wong is Kwan-Im-Thong-Hood-Cho-Temple Chair Professor in the School of Computing at the National University of Singapore (NUS). He was also a professor (now honorary) of pathology in the Yong Loo Lin School of Medicine at NUS. Before coming to NUS, he was the Deputy Executive Director for Research at A*STAR's Institute for Infocomm Research. He currently works mostly on knowledge discovery technologies and their application to biomedicine. He has also done, in the earlier part of his career, significant research in database query language theory and finite model theory, as well as significant development work in broad-scale data integration systems. Limsoon has written about 300 research papers, some of which are among the best cited of their respective fields. Limsoon is a Fellow of the ACM, named in 2013 for his contributions to database theory and computational biology. Some of his other recent awards include the 2003 FEER Asian Innovation Gold Award for his work on treatment optimization of childhood leukemias, the 2006 Singapore Youth Award Medal of Commendation for his sustained contributions to science and technology, and the ICDT 2014 Test of Time Award for his work on naturally embedded query languages. He was also conferred, in 2014, a Public Administration Medal (Bronze) by the Singapore Government for outstanding efficiency, competence, and industry. He serves/served on the editorial boards of Journal of Bioinformatics and Computational Biology , Bioinformatics , Biology Direct , Drug Discovery Today , IEEE/ACM Transactions on Computational Biology and Bioinformatics , Genomics Proteomics & Bioinformatics , Journal of Biomedical Semantics , Methods , Scientific Reports , Information Systems , and IEEE Transactions on Big Data . He is also an ACM Books Area Editor. Limsoon received his BSc(Eng) in 1988 from Imperial College London and his PhD in 1994 from University of Pennsylvania. Limsoon Wong / Main Office: School of Computing , National University of Singapore , Level 3, Building COM1, 13 Computing Drive, Singapore 117417 / Tel: +65-6516-2902 / Fax: +65-6779-7465 / WongLS@Comp.NUS.EDU.SG / diff --git a/src/data/compiled_bios/1442.txt b/src/data/compiled_bios/1442.txt new file mode 100644 index 0000000000..850c63e596 --- /dev/null +++ b/src/data/compiled_bios/1442.txt @@ -0,0 +1 @@ + The Meandering Irrawaddy Weng Fai WONG Associate Professor Department of Computer Science School of Computing National University of Singapore Office: COM2-03-56 (it got renumbered on May 24, 2010 - still the same place) 13, Computing Drive Singapore 117417 Republic of Singapore email: wongwf at comp.nus.edu.sg Tel: (+65) 6516 6902 Fax: (+65) 6779 4580 I was borned where almost all Singaporeans of my generation were borned - in the Kandang Kerbau (K.K. a.k.a. "Teck-ka") Hospital in one supposed-to-have-been-autumn-but-it's-always-summer-here night in 1964. At the appropriate age, I was shipped off to a PAP kindergarden (1969), then to Towner Primary School (1970-1976), Victoria School (1976-1980) (see also this ) and National Junior College (1980-1982)... so-so results. After the army stint, I entered my beloved DISCS in 1985, graduating in 1988 with BSc and a year later obtained my BSc(Hons). I ended up with a job as a Senior Tutor in DISCS in 1989 - till now, I am still not sure what caused this great fortune to hit me. I proceeded on to my MSc. By the time it was awarded in 1991, I was already in Tokyo, Japan. Yet another great fortune hit me as I managed to get a job as a researcher in Japan. I returned to DISCS as a Lecturer in July 1993 with a Dr.Eng.Sc. degree from the University of Tsukuba . I am interested in too many things for my own good. But in computing, I am mainly into programming languages and systems as well as computer architecture. For those who bothers, please check out my embarassingly short publication list . By the way, I am a Member of ACM and a Senior Member of the IEEE . I am also on the Editorial Board of the journal "Software Practice and Experience". And in case any one is interested, here is my complete CV A tribute to my late teacher and advisor, Professor Eiichi Goto . Without him, I would not have my PhD. May he rest in peace. "You need the willingness to fail all the time. You have to generate many ideas and then you have to work very hard only to discover that they don't work. And you keep doing that over and over until you find one that does work." -- John Backus (1924-2007, inventor of Fortran) on innovation. Some stuff I would like to showoff... Linda! Linda! You can read my poems only if you promise not to laugh too loud. I am now into photography. Do visit my photosites at Smugmug and for bird photography . That's all folks. Last updated Jul 25, 2014 diff --git a/src/data/compiled_bios/1443.txt b/src/data/compiled_bios/1443.txt new file mode 100644 index 0000000000..27b0898504 --- /dev/null +++ b/src/data/compiled_bios/1443.txt @@ -0,0 +1 @@ + Home Publications / Code Honors Teaching / Service Contact Xiaokui XIAO COM 1, #03-25 School of Computing National University of Singapore 13 Computing Drive Singapore 117417 Email: Bio I am an associate professor at the School of Computing (SOC), National University of Singapore (NUS). I obtained a PhD in Computer Science from the Chinese University of Hong Kong in 2008, and did a postdoc at the Cornell University. Before joining SOC in 2018, I was an associate professor at the Nanyang Technological University, Singapore. Research Interests Database management and analysis -- especially data privacy , graph analysis , and algorithms for large data . News I am looking for research assistants, PhD students, and postdocs. Please send me your CV if you are interested. diff --git a/src/data/compiled_bios/1444.txt b/src/data/compiled_bios/1444.txt new file mode 100644 index 0000000000..bd0b5caf7c --- /dev/null +++ b/src/data/compiled_bios/1444.txt @@ -0,0 +1 @@ + NUS Computing Current UG MySoC Email Student Staff Alumni Sidebar Main Menu About Programmes Student Life Research Entrepreneurship Industry Quicklinks Current UG MySoC Email Student Staff Alumni About Departments Industry Advisory Committee Management Faculty & Staff Directory Faculty Photo Directory Admin Photo Directory Expert Directory News Corporate Relations Giving Careers Contact Us Programmes Undergraduate Computer Science Information Systems Computer Engineering Business Analytics Information Security Special Programmes Double Major Minors Resources for Current Students Graduate PhD in Computer Science PhD in Information Systems MSc+PhD (by Research) Master's in Computer Science Master's in Information Systems Master's in Infocomm Security Master's in Artificial Intelligence Master's in Business Analytics Graduate Certificates Graduate Certificate in Computing Foundations Part-time & Executive Education Bachelor of Technology Advanced Computing for Executives Student Life About Us Internships Student Leadership Programme Financial Support/Assistance Student Wellness and Wellbeing Career Services Professional Workshop Student Clubs/Interest Groups Contact Us Research Research Centres Research Areas Entrepreneurship Leadership The Furnace Alumni Companies Funding Opportunities Awards Innovation Research Centres News & Events Contact Us Industry Corporate Relations Contact Us Search ... Home Dept. of Computer Science Biography YAO Yingjie Angela Angela YAO Assistant Professor P.hD. (Swiss Federal Institute of Technology (ETH), Zurich, 2012) M.Sc. (Biomedical Engineering, Swiss Federal Institute of Technology (ETH), Zurich, 2008) B.ASc. (Engineering Science, University of Toronto, Canada, 2006) COM1-03-06 660 17948 Research Areas Artificial Intelligence Media Research Interests Computer Vision Machine Learning Profile Dr Angela Yao has joined the Department of Science on 1 October 2018 as an Assistant Professor. She has obtained her PhD and Master of Science degree in Biomedical Engineering from Swiss Federal Institute of Technology (ETH), Zurich in 2012 and 2008, respectively. She obtained her Bachelors degree in Engineering Science from the University of Toronto, Canada in 2006. Prior to joining the Dept, Dr Yao was an Assistant Professor at the University of Bonn, Germany. Her research interests include human and hand pose estimation, action recognition, random forests, semi-supervised and unsupervised learning algorithms. Current Projects Selected Publications Awards & Honours Teaching (2018/2019) CS6216: Advanced Topics in Machine Learning JavaScript is currently disabled. Please enable it for a better experience of Jumi . Undergraduate Programmes Computer Science Information Systems Computer Engineering Business Analytics Information Security Special Programmes Undergraduate Brochure Admissions Undergraduate Graduate Financial Aid Graduate Programmes PhD in Computer Science PhD in Information Systems Master's in Computer Science Master's in Information Systems Master's in Infocomm Security Master's in Artificial Intelligence Master's in Business Analytics Graduate Certificates Graduate Certificate in Computing Foundations Part-time & Executive Education Bachelor of Technology Advanced Computing for Executives Organisation About Dept. of Computer Science Dept. of Information Systems and Analytics Industry Advisory Committee Management Faculty & Staff Directory Faculty Photo Directory Admin Photo Directory Expert Directory News Corporate Relations Giving Careers Resources MySoC Email Student Staff Events Calendar IVLE Library Alumni Facilities & Services Student Jobs NUS School of Computing Computing 1 13 Computing Drive Singapore 117417 +65 6516 2727 Contact Us Directions Organisation About Dept. of Computer Science Dept. of Information System and Analytics Industry Advisory Committee Management Staff Directory Faculty Photo Directory Admin Photo Directory News Corporate Relations Giving Careers Resources MySoC Email Student Staff Events Calendar IVLE Library Alumni Facilities & Services Student Jobs IMIN National University of Singapore . All Rights Reserved. Legal Branding guidelines Contact us JavaScript is currently disabled. Please enable it for a better experience of Jumi . diff --git a/src/data/compiled_bios/1445.txt b/src/data/compiled_bios/1445.txt new file mode 100644 index 0000000000..d477dab644 --- /dev/null +++ b/src/data/compiled_bios/1445.txt @@ -0,0 +1 @@ + Dr. Roland Yap Associate Professor Department of Computer Science School of Computing National University of Singapore COM2-03-09, 13 Computing Drive Singapore 117417 Republic of Singapore Office: COM2-03-09 E-mail: ryap@comp.nus.edu.sg Tel: +65 6516-2972 Fax: +65 6779-4580 Roland Yap is an associate professor in the School of Computing of the National University of Singapore . He obtained his B.Sc. (Hons), M.Sc and Ph.D. degrees in Computer Science from Monash University, Melbourne, Australia. Before joining the National University of Singapore, he was an Australian Research Council research fellow at the University of Melbourne. Prior to that he has been a visiting scientist at the IBM Thomas J. Watson Research Center in New York. Research Interests Google Scholar Profile Publications (from DBLP) Conference and Workshop Activities Teaching Constraint Mailing Lists : I maintain the CLP and CLP(R) users mailing lists which are moderated. To post to each list, send email to either clp@comp.nus.edu.sg or clpr-users@comp.nus.edu.sg . To subscribe to either mailing list, send email with "subscribe" in the subject field to clp-request@comp.nus.edu.sg or clpr-users-request@comp.nus.edu.sg . Similarly send "unsubscribe" in the subject field to unsubscribe. diff --git a/src/data/compiled_bios/1446.txt b/src/data/compiled_bios/1446.txt new file mode 100644 index 0000000000..790eea737d --- /dev/null +++ b/src/data/compiled_bios/1446.txt @@ -0,0 +1 @@ + Haifeng YU Associate Professor (with tenure) Computer Science Department School of Computing National University of Singapore Mailing address: COM2-04-25 15 Computing Drive School of Computing National University of Singapore Republic of Singapore 117418 Current Research Interests Distributed Algorithms, Applied Algorithms in Networking, and Distributed Systems Security. For students: Some high-level guideline on How to do good research . Research Opportunities (email me your CV and transcripts to apply) Opening for post-docs : I am actively recruiting post-docs in the area of distributed computing and algorithms in networking. The appointees are expected to work on issues related to distributed computing and algorithms in networking. The starting date is negotiable, and ideally should be by the end of 2019. The salary is internationally competitive (compared to Europe and US). Please email me to apply. Opening for research interns for students from outside of NUS and undergraduate student researchers (USR) for NUS students : Subject to the final approval of funding, I am recruiting research interns/USRs for 2019. The interns/USRs are expected to work on issues related to distributed computing and algorithms in networking. To qualify, the applicant needs to be a top undergraduate student in a top university, with a strong academic track record. I particularly welcome internship applicants with achievements in Mathematics/Physics/Information Olympiad at the national or international level. Please email me to apply. Opening for Ph.D. students seeking advisors : I am actively recruiting Ph.D. students to collaborate on world-class research on distributed algorithms and network algorithms. Besides CS major students, I am also very interested in working with students with a Bachelor's degree in Mathematics. Students with Bachelor's degrees in other related areas (such as Physics) and with strong mathematical background are also very welcome. If you are considering being my student, please read Advisor's README first and then email me to set up a time to chat. CS5223 Course materials for the first two weeks Journal Editorial Board Membership International Journal of Security and Networks Program Committee Chair PC Co-Chair for Distributed Computing Track, ICDCN'11 (International Conference on Distributed Computing and Networking) Program Committee Member APNet'19 (Asia-Pacific Workshop on Networking) ICDCN'19 (International Conference on Distributed Computing and Networking) DISC'18 (International Symposium on Distributed Computing) APNet'18 (Asia-Pacific Workshop on Networking) PODC'18 (ACM Symposium on Principles of Distributed Computing) OPODIS'17 (International Conference on Principles of Distributed Systems) APNet'17 (Asia-Pacific Workshop on Networking) SIGCOMM'17 (ACM SIGCOMM Conference) IPDPS'17 (International Parallel and Distributed Processing Symposium) CoNEXT'16 (International Conference on emerging Networking EXperiments and Technologies) ICDCS'16 (International Conference on Distributed Computing Systems) SIGMETRICS'16 (International Conference on Measurement and Modeling of Computer Systems) IPDPS'16 (International Parallel and Distributed Processing Symposium) PODC'16 (ACM Symposium on Principles of Distributed Computing) ICDCN'16 (International Conference on Distributed Computing and Networking) OPODIS'15 (International Conference on Principles of Distributed Systems) DISC'15 (International Symposium on Distributed Computing) ICDCS'15 (International Conference on Distributed Computing Systems) IPDPS'15 (International Parallel and Distributed Processing Symposium) WWW'15 (International WWW Conference) CoNEXT'14 (International Conference on emerging Networking EXperiments and Technologies) SIGMETRICS'14 (International Conference on Measurement and Modeling of Computer Systems) WWW'14 (International WWW Conference) PODC'13 (ACM Symposium on Principles of Distributed Computing) ICDCS'13 (International Conference on Distributed Computing Systems) CCS'12 (ACM Conference on Computer and Communications Security) SIGCOMM'12 (ACM SIGCOMM Conference) APSys'11 (ACM SIGOPS Asia-Pacific Workshop on Systems) CCS'11 (ACM Conference on Computer and Communications Security) SIGCOMM'11 (ACM SIGCOMM Conference) SIGMETRICS'11 (International Conference on Measurement and Modeling of Computer Systems) NetEcon'10 (Workshop on the Economics of Networks, Systems, and Computation) DCOSS'10 (IEEE International Conference on Distributed Computing in Sensor Systems) CCS'10 (ACM Conference on Computer and Communications Security) Oakland'10 (IEEE Symposium on Security and Privacy) IPTPS'10 (International Workshop on Peer-to-Peer Systems) IPDPS'10 (IEEE International Parallel and Distributed Processing Symposium) ICDCN'10 (International Conference on Distributed Computing and Networking) PODC'09 (ACM Symposium on Principles of Distributed Computing) ICDCS'09 (International Conference on Distributed Computing Systems) ICDE'09 (International Conference on Data Engineering) DISC'08 (International Symposium on Distributed Computing) SIGMETRICS'08 (International Conference on Measurement and Modeling of Computer Systems) DSN'08 (International Conference on Dependable Systems and Networks) STC'07 (ACM Workshop on Scalable Trusted Computing) IPTPS'07 (International Workshop on Peer-to-Peer Systems) STC'06 (ACM Workshop on Scalable Trusted Computing) PODC'06 (ACM Symposium on Principles of Distributed Computing) DSN'06 (International Conference on Dependable Systems and Networks) PODC'05 (ACM Symposium on Principles of Distributed Computing) Publications Haifeng Yu, Yuda Zhao, and Irvan Jahja., "The Cost of Unknown Diameter in Dynamic Networks." Journal of the ACM , Volume 65, Issue 5, Article 31, September 2018. Ruomu Hou, Irvan Jahja, Loi Luu, Prateek Saxena, and Haifeng Yu, "Randomized View Reconciliation in Permissionless Distributed Systems." Proceedings of the INFOCOM'18 , April 2018. [ PDF ]. Full version available as [ Technical Report TR12/17 ], Dec 2017. [ Conference talk slides ]. Irvan Jahja, Haifeng Yu, and Yuda Zhao, "Some Lower Bounds in Dynamic Networks with Oblivious Adversaries." Proceedings of the International Symposium on Distributed Computing (DISC'17) , October 2017. [ PDF ]. Full version available as [ Technical Report TRA7/17 ], July 2017. [ Conference talk slides ]. Haifeng Yu, Yuda Zhao, and Irvan Jahja, "The Cost of Unknown Diameter in Dynamic Networks." Proceedings of the ACM Symposium on Parallelism in Algorithms and Architectures (SPAA'16) , July 2016. [ PDF ]. Full version available as [ Technical Report TRA4/16 ], April 2016. [ Conference talk slides ]. Ziling Zhou, Binbin Chen, and Haifeng Yu, "Understanding RFID Counting Protocols." IEEE/ACM Transactions on Networking (ToN) , Volume 24, Issue 1, pp. 312-327, Feb 2016. Yuda Zhao, Haifeng Yu, and Binbin Chen, "Near-Optimal Communication-Time Tradeoff in Fault-Tolerant Computation of Aggregate Functions." Distributed Computing , Volume 29, Issue 1, pp. 17-38, Feb 2016. Seth Gilbert, Xiao Liu, and Haifeng Yu, "On Differentially Private Online Collaborative Recommendation Systems." Proceedings of the International Conference on Information Security and Cryptology (ICISC'15) , Nov 2015. Yuda Zhao, Haifeng Yu, and Binbin Chen, "Near-Optimal Communication-Time Tradeoff in Fault-Tolerant Computation of Aggregate Functions." Proceedings of the ACM Symposium on Principles of Distributed Computing (PODC'14) , July 2014. [ PDF ]. Full version available as [ Technical Report TRB5/14 ], May 2014. Binbin Chen, Haifeng Yu, Yuda Zhao, and Phillip B. Gibbons, "The Cost of Fault Tolerance in Multi-Party Communication Complexity." Journal of the ACM , Volume 61, Issue 3, Article 19, May 2014. Binbin Chen, Ziling Zhou, and Haifeng Yu, "Understanding RFID Counting Protocols." Proceedings of the ACM Annual International Conference on Mobile Computing and Networking (MobiCom'13) , September 2013. [ PDF ]. Full version available as [ Technical Report ]. [ Conference talk slides ]. Haifeng Yu, Phillip B. Gibbons, and Chenwei Shi, "DCast: Sustaining Collaboration in Overlay Multicast despite Rational Collusion." Proceedings of the ACM Conference on Computer and Communications Security (CCS'12) , October 2012. [ PDF ]. (The source code of the simulator used in this paper is available, upon request, for public research purposes.) Binbin Chen, Haifeng Yu, Yuda Zhao, and Phillip B. Gibbons, "The Cost of Fault Tolerance in Multi-Party Communication Complexity." Proceedings of the ACM Symposium on Principles of Distributed Computing (PODC'12) , July 2012. [ PDF ]. Full version available as [ Technical Report TRA5/12 ], 2012. [ Conference talk slides ]. [ Slides for a longer, one-hour talk ]. Binbin Chen, Ziling Zhou, Yuda Zhao, and Haifeng Yu, "Efficient Error Estimating Coding: Feasibility and Applications." IEEE/ACM Transactions on Networking (ToN) , Volume 20, Issue 1, pp. 29-44, February 2012. Haifeng Yu, "Sybil Defenses via Social Networks: A Tutorial and Survey." ACM SIGACT News Distributed Computing Column , Volume 42, Issue 3, pp 80-101, September 2011. [ PDF ] Binbin Chen and Haifeng Yu, "Secure Aggregation with Malicious Node Revocation in Sensor Networks." Proceedings of International Conference on Distributed Computing Systems (ICDCS'11) , June 2011. [ PDF ]. Haifeng Yu, Phillip B. Gibbons, and Chenwei Shi, "Brief Announcement: Sustaining Collaboration in Multicast despite Rational Collusion." Proceedings of the ACM Symposium on Principles of Distributed Computing (PODC'11) , June 2011. [ PDF ]. Haifeng Yu, "Secure and Highly-Available Aggregation Queries in Large-Scale Sensor Networks via Set Sampling." Distributed Computing , Volume 23, Issue 5, pp. 373-394, April 2011. Binbin Chen, Ziling Zhou, Yuda Zhao, and Haifeng Yu, "Efficient Error Estimating Coding: Feasibility and Applications." Proceedings of ACM SIGCOMM Conference , August 2010. Awarded Best Paper. (Acceptance rate: 33 out of 276) [ PDF ]. Updated Technical Report . Haifeng Yu, Phillip B. Gibbons, Michael Kaminsky, and Feng Xiao, "SybilLimit: A Near-Optimal Social Network Defense against Sybil Attacks." IEEE/ACM Transactions on Networking (ToN) , Volume 18, Issue 3, pp. 885-898, June 2010. Suman Nath, Haifeng Yu, and Haowen Chan, "Secure Outsourced Aggregation via One-way Chains." Proceedings of the ACM SIGMOD Conference (SIGMOD'09) , June 2009. [ PDF ]. Haifeng Yu, Chenwei Shi, Michael Kaminsky, Phillip B. Gibbons, and Feng Xiao, "DSybil: Optimal Sybil-Resistance for Recommendation Systems." Proceedings of the IEEE Symposium on Security and Privacy (Oakland'09) , May 2009. (Acceptance rate: 26 out of 254). [ PDF ]. Full version available as [ Technical Report ]. [ Talk Slides ]. Haifeng Yu, "Secure and Highly-Available Aggregation Queries in Large-Scale Sensor Networks via Set Sampling." Proceedings of the 8th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN'09) , April 2009. Awarded Best Paper. (Acceptance rate: 21 out of 117). [ PDF ]. Full version available as [ Technical Report ]. [ Talk Slides ]. Haifeng Yu and Phillip B. Gibbons, "Optimal Inter-Object Correlation When Replicating for Availability." Distributed Computing , Volume 21, Number 5, February, 2009. ( Special issue for PODC'07 ). [ PDF ]. Haifeng Yu, Michael Kaminsky, Phillip B. Gibbons, and Abraham Flaxman, "SybilGuard: Defending Against Sybil Attacks via Social Networks." IEEE/ACM Transactions on Networking (ToN) , Volume 16, Issue 3, pp. 576-589, June 2008. [ PDF ]. Haifeng Yu, "Defending Against Sybil Attacks via Social Networks." One-hour talk I gave on SybilLimit in May 2008. [ Talk slides ] Haifeng Yu, Phillip B. Gibbons, Michael Kaminsky, and Feng Xiao, "SybilLimit: A Near-Optimal Social Network Defense against Sybil Attacks." Proceedings of the IEEE Symposium on Security and Privacy (Oakland'08) , May 2008. (Acceptance rate: 28 out of 249). [ PDF ]. Full version available as Technical Report [TRA2/08]. [ PDF ]. [ Conference talk slides ] Haifeng Yu, Phillip B. Gibbons, and Michael Kaminsky, "Brief Announcement: Toward an Optimal Social Network Defense against Sybil Attacks." Proceedings of the 26th ACM Symposium on Principles of Distributed Computing (PODC'07) , August 2007. [ PDF ]. Haifeng Yu, "Brief Announcement: DoS-Resilient Secure Aggregation Queries in Sensor Networks." Proceedings of the 26th ACM Symposium on Principles of Distributed Computing (PODC'07) , August 2007. [ PDF ]. Haifeng Yu and Phillip B. Gibbons, "Optimal Inter-Object Correlation When Replicating for Availability." Proceedings of the 26th ACM Symposium on Principles of Distributed Computing (PODC'07) , August 2007. (Acceptance rate: 32 out of 204). [ PDF ]. [ Talk Slides ]. Jeffrey Pang, Phillip B. Gibbons, Michael Kaminsky, Srinivasan Seshan, and Haifeng Yu, "Defragmenting DHT-based Distributed File Systems." Proceedings of International Conference on Distributed Computing Systems (ICDCS'07) , June 2007. (Acceptance rate: 71 out of 528). Amit Manjhi, Phillip B. Gibbons, Anastassia Ailamaki, Charles Garrod, Bruce M. Maggs, Todd C. Mowry, Christopher Olston, Anthony Tomasic, and Haifeng Yu, "Invalidation Clues for Database Scalability Services." Proceedings of International Conference on Data Engineering (ICDE'07) , April 2007. (Acceptance rate: 122 out of 659). Haifeng Yu, Michael Kaminsky, Phillip B. Gibbons, and Abraham Flaxman, "SybilGuard: Defending Against Sybil Attacks via Social Networks." Proceedings of ACM SIGCOMM Conference , September 2006. (Acceptance rate: 37 out of 298) [ PDF ]. Paper's SIGCOMM'06 public review by Thomas Anderson. [ PDF ]. (This paper is fast tracked to Transcations on Networking by SIGCOMM). Haifeng Yu, Phillip B. Gibbons, and Suman Nath, "Availability of Multi-Object Operations." Proceedings of the Symposium on Networked Systems Design and Implementation (NSDI'06) , May 2006. Awarded Best Paper. (Acceptance rate: 28 out of 110) [ PDF ]. Suman Nath, Haifeng Yu, Phillip B. Gibbons, and Srinivasan Seshan, "Subtleties in Tolerating Correlated Failures in Wide-area Storage Systems." Proceedings of the Symposium on Networked Systems Design and Implementation (NSDI'06) , May 2006. (Acceptance rate: 28 out of 110) [ PDF ]. Scott Garriss, Michael Kaminsky, Michael Freedman, Brad Karp, David Mazieres, and Haifeng Yu, "RE: Reliable Email." Proceedings of the Symposium on Networked Systems Design and Implementation (NSDI'06) , May 2006. (Acceptance rate: 28 out of 110) [ PDF ]. Haifeng Yu, "Signed Quorum Systems." Distributed Computing , Volume 18, Number 4 ( Special issue for PODC'04 ), March 2006. [ PDF ]. Haifeng Yu and Amin Vahdat, "The Costs and Limits of Availability for Replicated Services." ACM Transactions on Computer Systems (TOCS) , Volume 24, Issue 1, February 2006. Haifeng Yu and Amin Vahdat, "Consistent and Automatic Replica Regeneration." ACM Transactions on Storage (TOS) , Volume 1, Number 1, February 2005. [ PDF ]. Praveen Yalagandula, Suman Nath, Haifeng Yu, Phillip B. Gibbons, and Srinivasan Seshan, "Beyond Availability: Towards a Deeper Understanding of Machine Failure Characteristics in Large Distributed Systems." Proceedings of the Workshop on Real, Large Distributed Systems (WORLDS '04) , December 2004. [ PDF ]. Haifeng Yu, "Signed Quorum Systems." Proceedings of the 23rd ACM Symposium on Principles of Distributed Computing (PODC'04) , July 2004. (Acceptance rate:39 out of 224) [ PDF ]. Haifeng Yu and Amin Vahdat, "Consistent and Automatic Replica Regeneration." Proceedings of the Symposium on Networked Systems Design and Implementation (NSDI'04) , March 2004. (Acceptance rate: 27 out of 118) [ PDF ]. Haifeng Yu, "Overcoming the Majority Barrier in Large-Scale Systems." Proceedings of the 17th International Symposium on Distributed Computing (DISC'03) , October 2003. (Acceptance rate: 25 out of 90) [ PDF ]. Roger Barga, David Lomet, Stelios Paparizos, Haifeng Yu, and Sirish Chandrasekaran, "Persistent Applications via Automatic Recovery." Proceedings of the 17th International Database Engineering and Applications Symposium (IDEAS'03) , July 2003. Haifeng Yu, " Roadmap of TACT publications ." June 2003. Read this first if you do not know which TACT paper you are looking for. Haifeng Yu and Amin Vahdat, "Design and Evaluation of a Conit-based Continuous Consistency Model for Replicated Services. " ACM Transactions on Computer Systems (TOCS) , August 2002. [ PDF ]. This paper is the extended/combined version of the ICDCS'01 and OSDI'00 papers. Haifeng Yu and Amin Vahdat, "Minimal Replication Cost for Availability." Proceedings of the 21st ACM Symposium on Principles of Distributed Computing (PODC'02) , July 2002. [ PDF ]. This paper discusses replica placement to achieve optimal availability under the TACT continuous consistency model. Haifeng Yu and Amin Vahdat, "The Costs and Limits of Availability for Replicated Services." Proceedings of the 18th Symposium on Operating Systems Principles (SOSP'01) , October 2001. (Acceptance rate: 17 out of 85) [ PDF ]. This paper derives the theoretical availability upper bound, and then compares the availability of real protocols against the upper bound. Haifeng Yu and Amin Vahdat, "Combining Generality and Practicality in a Conit-Based Continuous Consistency Model for Wide-Area Replication." Proceedings of the 21st International Conference on Distributed Computing Systems (ICDCS'01) , April 2001. (Acceptance rate: 72 out of 212). [ PDF ]. This paper discusses the formal TACT continuous consistency model and its properties. Haifeng Yu and Amin Vahdat, "Design and Evaluation of a Continuous Consistency Model for Replicated Services." Proceedings of the Fourth Symposium on Operating Systems Design and Implementation (OSDI'00) , October 2000. (Acceptance rate: 24 out of 111). [ PDF ]. This paper discusses the TACT prototype design, implementation and evaluation. Haifeng Yu and Amin Vahdat, "Efficient Numerical Error Bounding for Replicated Network Services." 26th International Conference on Very Large Databases (VLDB'00) , September 2000. (Acceptance rate: 53 out of 351). [ PDF ]. This paper proposes practical consistency protocols to bound numerical error in the TACT consistency model. Haifeng Yu and Amin Vahdat, "Building Replicated Internet Services Using TACT: A Toolkit for Tunable Availability and Consistency Tradeoffs." Second International Workshop on Advanced Issues of E-Commerce and Web-based Information Systems (WECWIS'00) , June 2000. Haifeng Yu and Gershon Kedem, "DRAM-Page Based Prediction and Prefetching." International Conference on Computer Design (ICCD'00) , September 2000. Acknowledgement: Some of my projects use the Emulab testbed , and I sincerely thank Emulab's support. diff --git a/src/data/compiled_bios/1447.txt b/src/data/compiled_bios/1447.txt new file mode 100644 index 0000000000..d4fefffeba --- /dev/null +++ b/src/data/compiled_bios/1447.txt @@ -0,0 +1 @@ + Jin Zhao () Lecturer zhaojin@comp.nus.edu.sg P: ++(65) 66011083 COM2 02-10, 15 Computing Drive National University of Singapore Singapore 117418 Home Teaching Miscellaneous You have reached my academic home page. I am an instructor in National University of Singapore (NUS), teaching mainly introductory programming modules. I have recently completed my Ph.D under the supervision of Prof. Min-Yen Kan in NUS. My research interest is in Domain-specific Information Retrieval with focus on math and nursing. Here is my CV . Here is my public schedule. Please email me for meeting and consultation appointments. 2013 All Rights Reserved. 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Home Dept. of Computer Science Biography ZHOU Lifeng ZHOU Lifeng Senior Lecturer Ph.D. (National University of Singapore) M.S. (Nanjing University) B.S. (Nanjing University) COM2-02-56 651 64746 Research Areas Research Interests Networking Quality of Service Cross-layer design Profile Dr Zhou Lifeng is a Senior Lecturer in the Department of Computer Science, NUS School of Computing where he teaches introductory programming modules, software engineering modules and networking modules. Dr. Zhou believes in student-focused instruction and adopts an inquiry-based approach to his teaching practice. In order to provide a good student learning experience, he uses a variety of questioning techniques to engage students in drawing connections between conceptual and procedural knowledge. Dr. Zhou aims to motivate his students to not only do well in his courses, but also develop a keen interest in computer science and its applications. For example, he often uses concrete examples to showcase computing in the real world which hones students ability to solve practical problems. The feedback from students showed that they were engaged and had positive learning experiences. Dr. Zhou has supervised tens of undergraduate students for their Final Year Projects (FYPs), working on various software systems/tools that enhance the quality of teaching. Dr. Zhou has also developed a new programming module and revamped several others. Current Projects Collaborative online tutorials for programming modules Paperless test for introductory programming modules Selected Publications Awards & Honours Faculty Teaching Excellence Award (FTEA) 2011/12 -2013/14 Annual Teaching Excellence Award (ATEA) 2012/13 -2014/15 FTEA Honor Roll 2013/14 ATEA Honor Roll 2016 Teaching (2018/2019) CS1010J: Programming Methodology CS1010E: Programming Methodology CS1010S: Programming Methodology CS2105: Introduction to Computer Networks JavaScript is currently disabled. Please enable it for a better experience of Jumi . Undergraduate Programmes Computer Science Information Systems Computer Engineering Business Analytics Information Security Special Programmes Undergraduate Brochure Admissions Undergraduate Graduate Financial Aid Graduate Programmes PhD in Computer Science PhD in Information Systems Master's in Computer Science Master's in Information Systems Master's in Infocomm Security Master's in Artificial Intelligence Master's in Business Analytics Graduate Certificates Graduate Certificate in Computing Foundations Part-time & Executive Education Bachelor of Technology Advanced Computing for Executives Organisation About Dept. of Computer Science Dept. of Information Systems and Analytics Industry Advisory Committee Management Faculty & Staff Directory Faculty Photo Directory Admin Photo Directory Expert Directory News Corporate Relations Giving Careers Resources MySoC Email Student Staff Events Calendar IVLE Library Alumni Facilities & Services Student Jobs NUS School of Computing Computing 1 13 Computing Drive Singapore 117417 +65 6516 2727 Contact Us Directions Organisation About Dept. of Computer Science Dept. of Information System and Analytics Industry Advisory Committee Management Staff Directory Faculty Photo Directory Admin Photo Directory News Corporate Relations Giving Careers Resources MySoC Email Student Staff Events Calendar IVLE Library Alumni Facilities & Services Student Jobs IMIN National University of Singapore . All Rights Reserved. Legal Branding guidelines Contact us JavaScript is currently disabled. Please enable it for a better experience of Jumi . diff --git a/src/data/compiled_bios/145.txt b/src/data/compiled_bios/145.txt new file mode 100644 index 0000000000..361667039b --- /dev/null +++ b/src/data/compiled_bios/145.txt @@ -0,0 +1 @@ + Not Found The requested URL /microtech/ was not found on this server. diff --git a/src/data/compiled_bios/1450.txt b/src/data/compiled_bios/1450.txt new file mode 100644 index 0000000000..dd17e5d975 --- /dev/null +++ b/src/data/compiled_bios/1450.txt @@ -0,0 +1 @@ + Yair Zick National University of Singapore Home About Me Research Publications Teaching People Contact Me I am an assistant professor at the National University of Singapore's School of Computing . Prior to that I was a postdoctoral research fellow at Carnegie Mellon University, hosted by Anupam Datta and Ariel Procaccia . I completed my PhD at Nanyang Technological University in Singapore, hosted by Edith Elkind . I am mainly interested in game theory, fair division, strategic collaborative behavior, and their applications in various domains. I am also interested in algorithmic transparency, and ethics in AI/ML. diff --git a/src/data/compiled_bios/1451.txt b/src/data/compiled_bios/1451.txt new file mode 100644 index 0000000000..54c0db3988 --- /dev/null +++ b/src/data/compiled_bios/1451.txt @@ -0,0 +1 @@ + Skip to content Skip to main navigation Skip to first column Skip to second column Media Management Research Lab National University of Singapore Roger Zimmermann Thursday, 23 January 2015 08:00 administrator Director of the Media Management Research Lab (MMRL) Associate Professor of Computer Science at NUS Deputy Director of the Smart Systems Institute (SSI) Co-Director of the Centre of Social Media Innovations for Communities (COSMIC) Secretary of ACM SIGSPATIAL (2014-2017) Co-Founder of SecurEZ Labs Biography Roger Zimmermann is associate professor of Computer Science in the School of Computing at the National University of Singapore (NUS). He is also deputy director with the Interactive and Digital Media Institute (IDMI) at NUS and co-director of the Centre of Social Media Innovations for Communities (COSMIC), a research institute funded by the National Research Foundation (NRF) of Singapore. Prior to joining NUS he held the position of Research Area Director with the Integrated Media Systems Center (IMSC) at the University of Southern California (USC). He received his M.S. and Ph.D. degree from the University of Southern California in 1994 and 1998, respectively. Among his research interests are mobile video management, streaming media architectures, distributed and peer-to-peer systems, spatio-temporal data management and location-based services. Dr. Zimmermann is a Senior Member of IEEE and a member of ACM . He has co-authored a book, seven patents and more than two hundred-twenty conference publications, journal articles and book chapters in the areas of multimedia, GIS and information management. He has received funding from NSF (US), A*STAR (Singapore), NUS Research Institute (NUSRI), NRF (Singapore), and NSFC (China) as well as several industries such as Fuji Xerox, HP, Intel, and Pratt & Whitney. Dr. Zimmermann is on the editorial boards of the IEEE Multimedia Communications Technical Committee (MMTC) R-Letter and the Springer International Journal of Multimedia Tools and Applications (MTAP). He is also an associate editor for the ACM Transactions on Multimedia journal (ACM TOMM) and he has been elected to serve as Secretary of ACM SIGSPATIAL for the term 1 July 2014 to 30 June 2017. He has served on the conference program committees of many leading conferences and as reviewer of many journals. Recently he was the general chair of the ACM Multimedia Systems 2014 and the IEEE ISM 2015 conferences, and TPC co-chair of the ACM TVX 2017 conference. Research More information on multimedia, GIS and information management research can be found on the MMRL lab website at http://eiger.ddns.comp.nus.edu.sg . The list of publications is available here . Note that many of the ACM publications are enabled with the ACM Author-Izer service such that they can be downloaded directly and for free from the ACM Digital Library. The enabled publications are marked with a small ACM logo. The title links of these papers will re-direct a visitor to an ACM Author-Izer download page. Note: You must click through from the bibliography page here Additional Resources Roger Zimmermann's Google Scholar Citation count (mostly accurate), his DBLP page , his Microsoft Academic Search results (not accurate, includes results of other people with the same name), his ACM Author Page , his ResearchGate , and his Elsevier Mendeley page. His ORCID persistent digital identifier is 0000-0002-7410-2590 and his Researcher ID is D-7944-2015 . Follow me on Academia.edu Teaching Teaching information can be found here . Contact Information Campus address: School of Computing Department of Computer Science National University of Singapore Computing 1 13 Computing Drive Singapore 117417 Email: rogerz@comp.nus.edu.sg Phone: (65) 6516 7949 Fax: (65) 6779 4580 Office: AS6, #05-05 Recent News Articles... NSFC Proposal Approved Sypher Labs Raises Funding ACM Multimedia 2015 Web Site ACM SIGSPATIAL Secretary Start Prev 1 2 3 4 5 6 7 8 9 10 Next End Page 1 of 22 Main Menu Home People Research Publications Courses Press Coverage Resources Administrator Who's Online We have2 guestsonline Latest News IEEE ISM 2014 Panel Keynote at PCM 2014 NEAT IP License with Sypher Labs Singapore Named No 1 by Lonely Planet Popular NUS-CALIT2 Workshop Multimedia Workshop "on Hot Topics in Multimedia Research" ACM MM 2009 Papers Accepted SIGIR 2008 Conference Research About DMRL News Sponsors Contact Us Copyright 2015 Media Management Research Lab. All Rights Reserved. Joomla! is Free Software released under the GNU/GPL License. Feed Entries diff --git a/src/data/compiled_bios/1452.txt b/src/data/compiled_bios/1452.txt new file mode 100644 index 0000000000..1c2099e6b9 --- /dev/null +++ b/src/data/compiled_bios/1452.txt @@ -0,0 +1 @@ + Tyler K Bletsch Assistant Professor Of The Practice in the Department of Electrical and Computer Engineering Appointments and Affiliations Assistant Professor Of The Practice in the Department of Electrical and Computer Engineering Contact Information Office Location: 106 Hudson Hall, Durham, NC 27708 Office Phone: (919) 660-5242 Email Address: tyler.bletsch@duke.edu Websites: Tyler's Duke Homepage Education D.Phil. North Carolina State University, 2011 B.S. North Carolina State University, 2004 Research Interests Software security, robotics, project-oriented education, and datacenter efficiency Courses Taught COMPSCI 250D: Computer Architecture ECE 250D: Computer Architecture ECE 392: Projects in Electrical and Computer Engineering ECE 458: Engineering Software for Maintainability ECE 493: Projects in Electrical and Computer Engineering ECE 496: Special Topics in Electrical and Computer Engineering ECE 590: Advanced Topics in Electrical and Computer Engineering ECE 650: Systems Programming and Engineering Representative Publications Li, J; Wang, Z; Bletsch, T; Srinivasan, D; Grace, M; Jiang, X, Comprehensive and Efficient Protection of Kernel Control Data , Ieee Transactions on Information Forensics and Security, vol 6 no. 4 (2011), pp. 1404-1417 [ 10.1109/tifs.2011.2159712 ] [ abs ]. Bletsch, T; Jiang, X; Freeh, V, Mitigating code-reuse attacks with control-flow locking , Proceedings of the 27th Annual Computer Security Applications Conference on Acsac '11 (2011) [ 10.1145/2076732.2076783 ] [ abs ]. Bletsch, T; Jiang, X; Freeh, VW; Liang, Z, Jump-oriented programming , Proceedings of the 6th Acm Symposium on Information, Computer and Communications Security Asiaccs '11 (2011) [ 10.1145/1966913.1966919 ] [ abs ]. Tran, M; Etheridge, M; Bletsch, T; Jiang, X; Freeh, V; Ning, P, On the Expressiveness of Return-into-libc Attacks , Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2011), pp. 121-141 [ 10.1007/978-3-642-23644-0_7 ] [ abs ]. Rogers, NR; Drake, MA; Daubert, CR; McMahon, DJ; Bletsch, TK; Foegeding, EA, The effect of aging on low-fat, reduced-fat, and full-fat Cheddar cheese texture. , Journal of Dairy Science, vol 92 no. 10 (2009), pp. 4756-4772 [ 10.3168/jds.2009-2156 ] [ abs ]. : diff --git a/src/data/compiled_bios/1453.txt b/src/data/compiled_bios/1453.txt new file mode 100644 index 0000000000..c2a21a06c8 --- /dev/null +++ b/src/data/compiled_bios/1453.txt @@ -0,0 +1 @@ + John A. Board Associate Professor of Electrical and Computer Engineering John Board is an Associate Professor of ECE and of Computer Science. He also serves as Associate Chief Information Officer for Duke University. He received his D.Phil in 1986 from Oxford University. His research interests include: High performance scientific computing and simulation, novel computer architectures, cluster computing and parallel processing; ubiquitous computing. Appointments and Affiliations Associate Professor of Electrical and Computer Engineering Associate Professor of Computer Science Bass Fellow Contact Information Office Location: 209D Hudson Hall, Durham, NC 27708 Office Phone: (919) 660-5272 Email Address: jab@ee.duke.edu Websites: http://www.ee.duke.edu/~jab/ Education Ph.D. University of Oxford (UK), 1986 M.S. Duke University, 1982 B.S.E. Duke University, 1981 Research Interests High performance scientific computing and simulation, novel computer architectures, cluster computing and parallel processing; ubiquitous computing. Awards, Honors, and Distinctions Distinguished Teaching Award. Duke University School of Engineering. 2008 Distinguished Young Alumnus. Duke University. 2008 Klein Family Distinguished Teaching Award. Duke University, Pratt School of Engineering. 2008 Member. Eta Kappa Nu. 2008 Member. Phi Beta Kappa. 2008 Member. Tau Beta Pi. 2008 Rhodes Scholar. The Rhodes Trust. 2008 Courses Taught ECE 350L: Digital Systems ECE 392: Projects in Electrical and Computer Engineering ECE 459: Introduction to Embedded Systems ECE 493: Projects in Electrical and Computer Engineering ECE 494: Projects in Electrical and Computer Engineering ECE 495: Special Topics in Electrical and Computer Engineering ECE 550D: Fundamentals of Computer Systems and Engineering ECE 563: Cloud Computing ECE 899: Special Readings in Electrical Engineering Representative Publications Li, X; Chang, X; Board, JA; Trivedi, KS, A novel approach for software vulnerability classification , Proceedings of the Annual Reliability and Maintainability Symposium (2017) [ 10.1109/RAM.2017.7889792 ] [ abs ]. Ybarra, GA; Collins, LM; Huettel, LG; Coonley, KD; Massoud, HZ; Board, JA; Cummer, SA; Choudhury, RR; Gustafson, MR; Jokerst, NM; Brooke, MA; Willett, RM; Kim, J; Absher, MS, Integrated sensing and information processing theme-based redesign of the undergraduate electrical and computer engineering curriculum at Duke University , Advances in Engineering Education, vol 2 no. 4 (2010) [ abs ]. Ybarra, GA; Collins, LM; Huettel, LG; Massoud, HZ; Board, JA; Brooke, M; Jokerst, NM; Choudhury, RR; Gustafson, MR; Willett, RM; Coonley, K, Integrating sensing and information processing in an electrical and computer engineering undergraduate curriculum , Proceedings Frontiers in Education Conference, Fie (2009) [ 10.1109/FIE.2009.5350770 ] [ abs ]. Brown, A; Ybarra, G; Massoud, H; Board, J; Holmes, J; Coonley, K; Collins, L; Huettel, L; Gustafson, M; Cummer, S, Redesign of the core curriculum at Duke University , Asee Annual Conference and Exposition, Conference Proceedings (2006) [ abs ]. Brown, A; Ybarra, G; Massoud, H; Board, J; Holmes, J; Coonley, K; Collins, L; Huettel, L; Gustafson, M; Cummer, S, Redesign of the core curriculum at Duke University , ASEE Annual Conference and Exposition, Conference Proceedings (2006) [ abs ]. : diff --git a/src/data/compiled_bios/1454.txt b/src/data/compiled_bios/1454.txt new file mode 100644 index 0000000000..7d8df7103b --- /dev/null +++ b/src/data/compiled_bios/1454.txt @@ -0,0 +1 @@ + Kenneth R Brown Associate Professor in the Department of Electrical and Computer Engineering Prof. Brown's research interest is the control of quantum systems for both understanding the natural world and developing new technologies. His current research areas are the development of robust quantum computers and the study of molecular properties at cold and ultracold temperatures. Appointments and Affiliations Associate Professor in the Department of Electrical and Computer Engineering Associate Professor of Chemistry Associate Professor of Physics Contact Information Office Location: 701 W Main St, Suite 400, Durham, NC 27701 Office Phone: (919) 660-1376 Email Address: kenneth.r.brown@duke.edu Websites: Brown Lab Education Ph.D. University of California at Berkeley, 2003 B.S. University Puget Sound, 1998 Research Interests Quantum error correction, quantum control, quantum computer architecture, ion trap quantum computing, and the spectroscopy of sympathetically cooled molecular ions Awards, Honors, and Distinctions Fellow. American Physical Society. 2018 Experienced Research Fellow. Alexander von Humboldt Foundation. 2015 Kavli Fellow. Kavli Foundation and National Academy of Science. 2013 Courses Taught ECE 270DL: Fields and Waves: Fundamentals of Information Propagation ECE 270L9: Fields and Waves: Fundamentals of Information Propagation (Lab) ECE 392: Projects in Electrical and Computer Engineering ECE 590: Advanced Topics in Electrical and Computer Engineering PHYSICS 493: Research Independent Study PHYSICS 495: Thesis Independent Study PHYSICS 590: Selected Topics in Theoretical Physics PHYSICS 791: SPECIAL READINGS In the News Duke to Lead $15 Million Program to Create First Practical Quantum Computer (Aug 7, 2018 | Pratt School of Engineering) Spectator Qubits Seek to Improve Control of Four Quantum Computing Systems (Apr 16, 2018 | Pratt School of Engineering) Representative Publications Debroy, DM; Li, M; Newman, M; Brown, KR, Stabilizer Slicing: Coherent Error Cancellations in Low-Density Parity-Check Stabilizer Codes. , Physical Review Letters, vol 121 no. 25 (2018) [ 10.1103/physrevlett.121.250502 ] [ abs ]. Calvin, AT; Brown, KR, Spectroscopy of Molecular Ions in Coulomb Crystals. , The Journal of Physical Chemistry Letters, vol 9 no. 19 (2018), pp. 5797-5804 [ 10.1021/acs.jpclett.8b01387 ] [ abs ]. Brown, NC; Brown, KR, Comparing Zeeman qubits to hyperfine qubits in the context of the surface code: 174Yb+ and 171Yb+ , Phys. Rev. A, vol 97 (2018), pp. 052301-052301 [ 10.1103/PhysRevA.97.052301 ] [ abs ]. , Simulating the performance of a distance-3 surface code in a linear ion trap , New Journal of Physics, vol 20 no. 4 (2018) [ 10.1088/1367-2630/aab341 ] [ abs ]. Calvin, AT; Janardan, S; Condoluci, J; Rugango, R; Pretzsch, E; Shu, G; Brown, KR, Rovibronic Spectroscopy of Sympathetically Cooled 40CaH+ , The Journal of Physical Chemistry A, vol 122 no. 12 (2018), pp. 3177-3181 [ 10.1021/acs.jpca.7b12823 ] [ abs ]. Leung, PH; Landsman, KA; Figgatt, C; Linke, NM; Monroe, C; Brown, KR, Robust 2-Qubit Gates in a Linear Ion Crystal Using a Frequency-Modulated Driving Force. , Physical Review Letters, vol 120 no. 2 (2018) [ 10.1103/physrevlett.120.020501 ] [ abs ]. Condoluci, J; Janardan, S; Calvin, AT; Rugango, R; Shu, G; Sherrill, CD; Brown, KR, Reassigning the CaH+ 11 21 vibronic transition with CaD. , The Journal of Chemical Physics, vol 147 no. 21 (2017) [ 10.1063/1.5016556 ] [ abs ]. Linke, NM; Gutierrez, M; Landsman, KA; Figgatt, C; Debnath, S; Brown, KR; Monroe, C, Fault-tolerant quantum error detection. , Science Advances, vol 3 no. 10 (2017) [ 10.1126/sciadv.1701074 ] [ abs ]. Li, M; Gutirrez, M; David, SE; Hernandez, A; Brown, KR, Fault tolerance with bare ancillary qubits for a [[7,1,3]] code , Physical Review A, vol 96 no. 3 (2017) [ 10.1103/PhysRevA.96.032341 ] [ abs ]. Rugango, R; Calvin, AT; Janardan, S; Shu, G; Brown, KR, Vibronic Spectroscopy of Sympathetically Cooled CaH. , Chemphyschem : a European Journal of Chemical Physics and Physical Chemistry, vol 17 no. 22 (2016), pp. 3764-3768 [ 10.1002/cphc.201600645 ] [ abs ]. Brown, KR; Kim, J; Monroe, C, Co-designing a scalable quantum computer with trapped atomic ions , Npj Quantum Information, vol 2 no. 1 (2016) [ 10.1038/npjqi.2016.34 ] [ abs ]. : diff --git a/src/data/compiled_bios/1455.txt b/src/data/compiled_bios/1455.txt new file mode 100644 index 0000000000..f208c01834 --- /dev/null +++ b/src/data/compiled_bios/1455.txt @@ -0,0 +1 @@ + Robert Calderbank Charles S. Sydnor Professor of Computer Science Robert Calderbank is Director of the Information Initiative at Duke University, where he is Professor of Electrical Engineering, Computer Science and Mathematics. He joined Duke in 2010, completed a 3 year term as Dean of Natural Sciences in August 2013, and also served as Interim Director of the Duke Initiative in Innovation and Entrepreneurship in 2012. Before joining Duke he was Professor of Electrical Engineering and Mathematics at Princeton University where he also directed the Program in Applied and Computational Mathematics. Before joining Princeton University Dr. Calderbank was Vice President for Research at AT&T. As Vice President for Research he managed AT&T intellectual property, and he was responsible for licensing revenue. AT&T Labs was the first of a new type of research lab where masses of data generated by network services became a giant sandbox in which fundamental discoveries in information science became a source of commercial advantage At Duke, Dr. Calderbank works with researchers from the Duke Center for Autism and Brain Development, developing information technology that is able to capture a full spectrum of behavior in very young children. By supporting more consistent and cost-effective early diagnosis, the team is increasing the opportunity for early interventions that have proven very effective. At the start of his career at Bell Labs, Dr. Calderbank developed voiceband modem technology that was widely licensed and incorporated in over a billion devices. Voiceband means the signals are audible so these modems burped and squeaked as they connected to the internet. One of these products was the AT&T COMSPHERE modem which was the fastest modem in the world in 1994 at 33.6kb/s! Together with Peter Shor and colleagues at AT&T Labs Dr. Calderbank developed the group theoretic framework for quantum error correction. This framework changed the way physicists view quantum entanglement, and provided the foundation for fault tolerant quantum computation. Dr. Calderbank has also developed technology that improves the speed and reliability of wireless communication by correlating signals across several transmit antennas. Invented in 1996, this space-time coding technology has been incorporated in a broad range of 3G, 4G and 5G wireless standards. He served on the Technical Advisory Board of Flarion Technologies a wireless infrastructure company founded by Rajiv Laroia and acquired by Qualcomm for $1B in 2008. Dr. Calderbank is an IEEE Fellow and an AT&T Fellow, and he was elected to the National Academy of Engineering in 2005. He received the 2013 IEEE Hamming Medal for contributions to coding theory and communications and the 2015 Shannon Award. Appointments and Affiliations Charles S. Sydnor Professor of Computer Science Professor of Computer Science Director of the Information Initiative at Duke Professor of Electrical and Computer Engineering Professor of Mathematics Professor of Physics Contact Information Office Location: 140 Science Drive, 317 Gross Hall, Durham, NC 27708 Office Phone: (919) 613-7874 Email Address: robert.calderbank@duke.edu Education Ph.D. California Institute of Technology, 1980 M.S. Oxford University (U.K.), 1976 B.S. University of Warwick (England), 1975 Research Interests Error control codes for quantum computing, wireless communication and the internet of things, coding theory for computer architecture, signal processing, machine learning Awards, Honors, and Distinctions NAI Fellow. National Academy of Inventors. 2014 Fellow. American Mathematical Society. 2013 Richard W. Hamming Medal. Institute for Electrical and Electronics Engineers. 2013 AAAS Fellows. American Association for the Advancement of Science, The. 2012 Membership. National Academy of Engineering. 2005 Highly Cited Researcher. Thomson Reuters. 2001 Fellows. Institute for Electrical and Electronics Engineers. 1998 Courses Taught COMPSCI 391: Independent Study COMPSCI 394: Research Independent Study ECE 483: Introduction to Digital Communication Systems ECE 590: Advanced Topics in Electrical and Computer Engineering MATH 393: Research Independent Study MATH 394: Research Independent Study MATH 493: Research Independent Study MATH 494: Research Independent Study MATH 501: Introduction to Algebraic Structures I MATH 590-02: Advanced Special Topics in Mathematics MATH 790-90: Minicourse in Advanced Topics In the News Information Initiative at Duke Named to Honor Michael and Maureen Rhodes (Dec 6, 2018 | Pratt School of Engineering) Calderbank Reappointed to New Term as Information Initiative Director (Oct 10, 2018) A MindAnd an EarFor Big Data (Feb 27, 2017 | Pratt School of Engineering) Duke Receives $9.75 Million for Big Data Initiative (Apr 27, 2015) DIW Office Connects Duke Experts to Washington (Mar 6, 2015) Calderbank, Chilkoti Named Fellows of the National Academy of Inventors (Dec 16, 2014) Putting Big Data to Work in Autism Diagnosis (Nov 25, 2014) Math Junior Flips for Bit Flips (Aug 11, 2014 | Duke Research Blog) A Toast for Robert Calderbank (Jul 10, 2014) Calderbank Receives Shannon Award (Jul 7, 2014) Duke Faculty Head to DC to Talk to Policymakers About Math and Art (Jun 18, 2014) Van Gogh and the algorithm: How math can save art (Jun 17, 2014 | TIME) Calderbank Awarded IEEE Medal (Jun 20, 2013) Representative Publications Thompson, A; Calderbank, R, Sparse near-equiangular tight frames with applications in full duplex wireless communication , 2017 Ieee Global Conference on Signal and Information Processing, Globalsip 2017 Proceedings, vol 2018-January (2018), pp. 868-872 [ 10.1109/GlobalSIP.2017.8309084 ] [ abs ]. Mappouras, G; Vahid, A; Calderbank, R; Hower, DR; Sorin, DJ, Jenga: Efficient Fault Tolerance for Stacked DRAM , 2017 Ieee International Conference on Computer Design (Iccd) (2017) [ 10.1109/iccd.2017.62 ] [ abs ]. Kadhe, S; Calderbank, R, Rate optimal binary linear locally repairable codes with small availability , Ieee International Symposium on Information Theory Proceedings (2017), pp. 166-170 [ 10.1109/ISIT.2017.8006511 ] [ abs ]. Michelusi, N; Nokleby, M; Mitra, U; Calderbank, R, Multi-scale spectrum sensing in small-cell mm-wave cognitive wireless networks , Ieee International Conference on Communications (2017) [ 10.1109/ICC.2017.7996657 ] [ abs ]. Cnaan-On, I; Harms, A; Krolik, JL; Calderbank, AR, Run-length limited codes for backscatter communication , 2015 Ieee International Conference on Acoustics, Speech, and Signal Processing (Icassp) (2017), pp. 6110-6114 [ 10.1109/ICASSP.2017.7953330 ] [ abs ]. : diff --git a/src/data/compiled_bios/1456.txt b/src/data/compiled_bios/1456.txt new file mode 100644 index 0000000000..e879ee3252 --- /dev/null +++ b/src/data/compiled_bios/1456.txt @@ -0,0 +1 @@ + Krishnendu Chakrabarty William H. Younger Professor of Engineering Krishnendu Chakrabartyis the William H. Younger Distinguished Professor of Engineering and Professor of Computer Science at Duke University. He is chair of the Department of Electrical and Computer Engineering. Please note this web page is not updated regularly. For up to date information, please go to: http://people.ee.duke.edu/~krish/ . Appointments and Affiliations William H. Younger Professor of Engineering Professor of Electrical and Computer Engineering Chair of the Department of Electrical and Computer Engineering Contact Information Office Location: 2513 CIEMAS, Durham, NC 27708 Office Phone: (919) 660-5270 Email Address: krish@ee.duke.edu Websites: http://people.ee.duke.edu/~krish/ Education Ph.D. University of Michigan at Ann Arbor, 1995 M.S. University of Michigan at Ann Arbor, 1992 Research Interests Testing and design-for-testability of integrated circuits and systems (SOCs, 3D, manycore); microfluidic biochips and cyberphysical systems; resilient computing systems; enterprise system optimization and smart manufacturing Awards, Honors, and Distinctions Fellow. American Association for the Advancement of Science. 2018 Fellow. Association for Computing Machinery. 2013 Fellow. Institute for Electrical and Electronics Engineers. 2008 Courses Taught COMPSCI 350L: Digital Systems COMPSCI 394: Research Independent Study ECE 350L: Digital Systems ECE 493: Projects in Electrical and Computer Engineering ECE 538: VLSI System Testing ECE 891: Internship ECE 899: Special Readings in Electrical Engineering In the News Six From Duke Named Fellows of American Association for Advancement of Science (Nov 27, 2018) Pratt School's Chakrabarty Receives Lifetime Achievement Award (Nov 21, 2013) Representative Publications Poddar, S; Bhattacharjee, S; Nandy, SC; Chakrabarty, K; Bhattacharya, BB, Optimization of Multi-Target Sample Preparation On-Demand With Digital Microfluidic Biochips , Ieee Transactions on Computer Aided Design of Integrated Circuits and Systems, vol 38 no. 2 (2019), pp. 253-266 [ 10.1109/TCAD.2018.2808234 ] [ abs ]. Georgiou, P; Vartziotis, F; Kavousianos, X; Chakrabarty, K, Testing 3D-SoCs using 2-D time-division multiplexing , Ieee Transactions on Computer Aided Design of Integrated Circuits and Systems, vol 37 no. 12 (2018), pp. 3177-3185 [ 10.1109/TCAD.2017.2780054 ] [ abs ]. Firouzi, F; Farahani, B; Ibrahim, M; Chakrabarty, K, Keynote Paper: From EDA to IoT eHealth: Promises, Challenges, and Solutions , Ieee Transactions on Computer Aided Design of Integrated Circuits and Systems, vol 37 no. 12 (2018), pp. 2965-2978 [ 10.1109/tcad.2018.2801227 ] [ abs ]. Jin, S; Zhang, Z; Chakrabarty, K; Gu, X, Failure prediction based on anomaly detection for complex core routers , Ieee/Acm International Conference on Computer Aided Design, Digest of Technical Papers, Iccad (2018) [ 10.1145/3240765.3243476 ] [ abs ]. Das, S; Basu, K; Doppa, JR; Pande, PP; Karri, R; Chakrabarty, K, Abetting Planned Obsolescence by Aging 3D Networks-on-Chip , 2018 12th Ieee/Acm International Symposium on Networks on Chip, Nocs 2018 (2018) [ 10.1109/NOCS.2018.8512162 ] [ abs ]. : diff --git a/src/data/compiled_bios/1457.txt b/src/data/compiled_bios/1457.txt new file mode 100644 index 0000000000..b80a41d410 --- /dev/null +++ b/src/data/compiled_bios/1457.txt @@ -0,0 +1 @@ + Yiran Chen Associate Professor in the Department of Electrical and Computer Engineering Yiran Chen received B.S and M.S. from Tsinghua University and Ph.D. from Purdue University in 2005. After five years in industry, he joined University of Pittsburgh in 2010 as Assistant Professor and then promoted to Associate Professor with tenure in 2014, held Bicentennial Alumni Faculty Fellow. He now is a tenured Associate Professor of the Department of Electrical and Computer Engineering at Duke University and serving as the director of NSF IndustryUniversity Cooperative Research Center (IUCRC) for Alternative Sustainable and Intelligent Computing (ASIC) and co-director of Duke Center for Evolutionary Intelligence (CEI), focusing on the research of new memory and storage systems, machine learning and neuromorphic computing, and mobile computing systems. Dr. Chen has published one book and more than 350 technical publications and has been granted 93 US patents. He serves or served the associate editor of several IEEE and ACM transactions/journals and served on the technical and organization committees of more than 50 international conferences. He received 6 best paper awards and 12 best paper nominations from international conferences. He is the recipient of NSF CAREER award and ACM SIGDA outstanding new faculty award. He is the Fellow of IEEE and Distinguished Member of ACM, a distinguished lecturer of IEEE CEDA, and the recipient of the Humboldt Research Fellowship for Experienced Researchers. Appointments and Affiliations Associate Professor in the Department of Electrical and Computer Engineering Contact Information Office Location: 130 Hudson Hall, 100 Science Drive, Durham, NC 27519 Office Phone: (919) 660-1372 Email Address: yiran.chen@duke.edu Websites: Duke University Center for Computational Evolutionary Intelligence NSF IUCRC for Alternative Sustainable and Intelligent Computing Education Ph.D. Purdue University, 2005 Research Interests Nonvolatile memory and storage systems, neuromorphic computing, and mobile applications. Awards, Honors, and Distinctions IEEE Fellow. The Institute of Electrical and Electronics Engineers. 2018 Courses Taught COMPSCI 350L: Digital Systems ECE 350L: Digital Systems ECE 392: Projects in Electrical and Computer Engineering ECE 550D: Fundamentals of Computer Systems and Engineering ECE 590: Advanced Topics in Electrical and Computer Engineering ECE 891: Internship ECE 899: Special Readings in Electrical Engineering In the News Yiran Chen: Integrating Tomorrows Technology into Todays Devices (Jan 3, 2017) Representative Publications Li, S; Xiao, N; Wang, P; Sun, G; Wang, X; Chen, Y; Li, H; Cong, J; Zhang, T, RC-NVM: Dual-Addressing Non-Volatile Memory Architecture Supporting Both Row and Column Memory Accesses , Ieee Transactions on Computers, vol 68 no. 2 (2019), pp. 239-254 [ 10.1109/TC.2018.2868368 ] [ abs ]. Chai, X; Gan, Z; Yuan, K; Chen, Y; Liu, X, A novel image encryption scheme based on DNA sequence operations and chaotic systems , Neural Computing and Applications, vol 31 no. 1 (2019), pp. 219-237 [ 10.1007/s00521-017-2993-9 ] [ abs ]. Yang, H; Zhang, J; Cheng, HP; Wang, W; Chen, Y; Li, H, Bamboo: Ball-shape data augmentation against adversarial attacks from all directions , Ceur Workshop Proceedings, vol 2301 (2019) [ abs ]. Yang, J; Wang, X; Zhou, Q; Wang, Z; Li, H; Chen, Y; Zhao, W, Exploiting Spin-Orbit Torque Devices As Reconfigurable Logic for Circuit Obfuscation , Ieee Transactions on Computer Aided Design of Integrated Circuits and Systems, vol 38 no. 1 (2019), pp. 57-69 [ 10.1109/tcad.2018.2802870 ] [ abs ]. Liu, Z; Mao, M; Liu, T; Wang, X; Wen, W; Chen, Y; Li, H; Wang, D; Pei, Y; Ge, N, TriZone: A Design of MLC STT-RAM Cache for Combined Performance, Energy, and Reliability Optimizations , Ieee Transactions on Computer Aided Design of Integrated Circuits and Systems, vol 37 no. 10 (2018), pp. 1985-1998 [ 10.1109/TCAD.2017.2783860 ] [ abs ]. : diff --git a/src/data/compiled_bios/1458.txt b/src/data/compiled_bios/1458.txt new file mode 100644 index 0000000000..934d794bbc --- /dev/null +++ b/src/data/compiled_bios/1458.txt @@ -0,0 +1 @@ + Shaundra Daily Associate Professor of the Practice in the Department of Electrical and Computer Engineering My most significant contributions to science and engineering include: 1) developing new methods to utilize a virtual environment and movement as an embodied pedagogical approach to support computational thinking; 2) Integrating applications of affective computing into classrooms and promoting public conversations around emotions, privacy, and trust, and 3) enhancing the diversity of the field by engaging wide and diverse audiences in the practice of computing and specifically recruiting and mentoring women and minorities into the field. Appointments and Affiliations Associate Professor of the Practice in the Department of Electrical and Computer Engineering Associate Professor of the Practice of Computer Science Core Faculty in Innovation & Entrepreneurship Contact Information Office Location: 101 Science Dr, Fciemas 3577, Durham, NC 27705 Office Phone: (202) 922-7339 Email Address: shani.b@duke.edu Websites: Personal Webpage Education Ph.D. Massachusetts Institute of Technology, 2010 Research Interests Human-centered design and engineering, affective computing, broadening participation in STEM, interaction design and evaluation for technology-rich learning environments Awards, Honors, and Distinctions Extraordinary Educator Award . Delta Alpha Pi. 2015 Technology, Instruction, Cognition and Learning Early Career Research Award . American Education Research Association. 2015 Emerging Scholar . Diverse Issues in Higher Education . 2013 Epsilon Award - Most Promising Technologist . Black Data Processing Association. 2013 Scholar . Clemson Institute for the Advancement of Healthcare . 2012 Fellow. Samsung. 2007 Fellow. Stanford University - LIFE Center. 2007 Graduate Community Fellow - Women's Initiatives. Massachusetts Institute of Technology . 2006 Fellow. Delta Airlines. 2003 Sean A. Pittman Award for Outstanding Service to the African American Community . Florida State University. 2001 Member. Tau Beta Pi. 2000 Torchbearer. National Society of Black Engineers . 2000 Seminole Torchbearer. Florida State University . 1998 Courses Taught ECE 110L9: Fundamentals of Electrical and Computer Engineering - Lab ECE 110L: Fundamentals of Electrical and Computer Engineering ECE 493: Projects in Electrical and Computer Engineering EGR 103L9: Computational Methods in Engineering (Lab) EGR 103L: Computational Methods in Engineering In the News Students Learn Computer Programming Skills Through Dance (Jun 2, 2016 | 1. The Journal: Transforming Education Through Technology) American Graduate Champion: Dr. Shaundra Daily (Aug 21, 2015 | South Carolina ETV) Technology: Cool Women Who Code (Girls in Science) (Aug 11, 2015 | Book Chapter) Digital Divas weave STEM into fashion and dance challenges (Aug 5, 2015 | Chicago Tribune) Bridging tech's gender gap with dance (Jan 19, 2015 | USAToday) STEM Education Shall We Dance? (Dec 1, 2014 | ASEE Prism) Computer scientist Shaundra Daily - ScienceLives (Nov 14, 2014 | National Science Foundation) Can Girls Dance Their Way Toward Computer Programming Careers? Read more: http://nationswell.com/dance-can-increase-girls-stem-interest/#ixzz4sW6Gg1xs (Nov 7, 2014 | NationSwell) Danza y programacin pueden atraer nias a carreras informticas (Nov 3, 2014 | La Nacion) Dance Choreography May Improve Computational Skills (Nov 3, 2014 | Science World Report) Dance choreography improves girls' computational skills (Nov 3, 2014 | Phys Org) Female Students' Computer Skills Improve With Dance Choreography (Nov 3, 2014 | Medical Daily) Morph Than Meets the Eye (Oct 21, 2014 | Clemson Newsstand) 7 Black Innovators and Inventors in STEM Fields Who Blerds Should Know (Oct 3, 2014 | Atlanta Blackstar) Clemson University to bring together art and technology at Artisphere 2014 (May 1, 2014 | Clemson Newsstand) Careers: Shaundra Daily (Oct 9, 2013 | Girl Scouts of the USA) Dr. Shaundra B. Daily Works to Improve Education with Technology (Jan 13, 2013 | Diverse Issues in Higher Education) NOVA | The Secret Life of Scientists: Shaundra Daily (Mar 2, 2011 | PBS) Representative Publications Daily, S; James, MT; Cherry, D; Porter, JJ; Darnell, SS; Isaac, J; Roy, T, Affective Computing: Historial Foundations, Current Applications, and Future Trends (2017) [ abs ]. Volante, M; Babu, SV; Chaturvedi, H; Newsome, N; Ebrahimi, E; Roy, T; Daily, SB; Fasolino, T, Effects of Virtual Human Appearance Fidelity on Emotion Contagion in Affective Inter-Personal Simulations , Ieee Transactions on Visualization and Computer Graphics, vol 22 no. 4 (2016), pp. 1326-1335 [ 10.1109/TVCG.2016.2518158 ] [ abs ]. Daily, SB; Leonard, AE; Jrg, S; Babu, S; DSouza, N; Parmar, D; Gundersen, K; Isaac, J; Acker, S, Combating Perceptions of Computer Scientists: A Short-term Intervention , Proceedings of the 47th ACM Technical Symposium on Computing Science Education (2016), pp. 686-686 [ abs ]. Thomas, J; Daily, SB; Streeter, M, Supporting Students of Color in Learning Computer Science , Proceedings of the 47th ACM Technical Symposium on Computing Science Education (2016), pp. 706-706 [ abs ]. Parmar, D; Isaac, J; Babu, SV; D'Souza, N; Leonard, AE; Jrg, S; Gundersen, K; Daily, SB, Programming moves: Design and evaluation of applying embodied interaction in virtual environments to enhance computational thinking in middle school students , 2016 IEEE Virtual Reality (VR) (2016), pp. 131-140 [ abs ]. : diff --git a/src/data/compiled_bios/1459.txt b/src/data/compiled_bios/1459.txt new file mode 100644 index 0000000000..89d1506f52 --- /dev/null +++ b/src/data/compiled_bios/1459.txt @@ -0,0 +1 @@ + Maria Gorlatova Assistant Professor of Electrical and Computer Engineering Dr. Maria Gorlatova's research is focused on reaching the next level of adaptive intelligent behavior in Internet of Things systems and applications. This research involves the development of architectures, algorithms, and protocols for emerging pervasive systems. It crosses traditional discipline boundaries and requires thinking across multiple layers of system and protocol stacks. Dr. Gorlatova earned her Ph.D. in Electrical Engineering from Columbia University, and her M.Sc. and B.Sc. (Summa Cum Laude) degrees in Electrical Engineering from University of Ottawa, Canada. She has several years of industry experience, where she had been affiliated with Telcordia Technologies, IBM, and D. E. Shaw Research. She came to Duke from Princeton University, where she held the positions of an Associate Research Scholar in the Electrical Engineering Department and an Associate Director of the Princeton EDGE Lab. Dr. Gorlatova is a recipient of the Google Anita Borg USA Fellowship, Canadian Graduate Scholar CGS NSERC Fellowships, the Columbia University Presidential Fellowship, and the Columbia University Jury Award for Outstanding Achievement in Communications. She is a co-recipient of the ACM SenSys Best Student Demonstration Award, the IEEE Communications Society Young Author Best Paper Award, and the IEEE Communications Society Award for Advances in Communications. Appointments and Affiliations Assistant Professor of Electrical and Computer Engineering Faculty Network Member of the Duke Institute for Brain Sciences Contact Information Email Address: maria.gorlatova@duke.edu Websites: LinkedIn profile Personal webpage Education Ph.D. Columbia University, 2013 M.S. University of Ottawa (Canada), 2007 B.S. University of Ottawa (Canada), 2004 Research Interests Architectures, algorithms, and protocols for emerging mobile pervasive systems and the Internet of Things. Our work crosses traditional discipline boundaries and requires thinking across multiple layers of system and protocol stacks. We are focusing on breaking the barriers for technologies that enable fundamentally new deployments and experiences, such as energy harvesting, artificial intelligence adapted to the Internet of Things constraints, and augmented reality. Awards, Honors, and Distinctions Young Author Best Paper Award. IEEE Communications Society. 2016 Jury Award for Outstanding Achievement in Communications. Columbia University Electrical Engineering Department. 2013 Anita Borg USA Fellowship. Google. 2012 Award for Advances in Communications. IEEE Communications Society. 2011 Best Student Demonstration Award. ACM SenSys. 2011 Alexander Graham Bell Canada Graduate CGS-D Scholarship. Natural Sciences and Engineering Research Council Canada. 2008 Presidential Fellowship. Columbia University. 2008 Courses Taught COMPSCI 394: Research Independent Study COMPSCI 590: Advanced Topics in Computer Science ECE 356: Computer Network Architecture ECE 392: Projects in Electrical and Computer Engineering ECE 590: Advanced Topics in Electrical and Computer Engineering ECE 899: Special Readings in Electrical Engineering In the News Augmented Reality, Fog, and Vision: Duke Professor Outlines Importance of Smart Architectures (Oct 2, 2018 | Network World) Maria Gorlatova: Creating an Intelligent Internet of Things (Sep 11, 2018 | Pratt School of Engineering) If Donald Trump Were Actually a Battery (May 18, 2017 | New Yorker) The OpenFog Reference Architecture: A Baseline for Interoperability in the IIoT Cloud-to-things Continuum (Mar 6, 2017 | Embedded Computing Design) The Internet of You (May 20, 2014 | MIT Technology Review) Representative Publications Inaltekin, H; Gorlatova, M; Chiang, M, Virtualized Control over Fog: Interplay between Reliability and Latency , Ieee Internet of Things Journal, vol 5 no. 6 (2018), pp. 5030-5045 [ 10.1109/JIOT.2018.2881202 ] [ abs ]. Ahn, S; Gorlatova, M; Chiang, M, Leveraging fog and cloud computing for efficient computational offloading , 2017 Ieee Mit Undergraduate Research Technology Conference, Urtc 2017, vol 2018-January (2018), pp. 1-4 [ 10.1109/URTC.2017.8284203 ] [ abs ]. Ahn, S; Gorlatova, M; Naghizadeh, P; Chiang, M; Mittal, P, Adaptive Fog-Based Output Security for Augmented Reality , Proceedings of the 2018 Morning Workshop on Virtual Reality and Augmented Reality Network Vr/Ar Network '18 (2018) [ 10.1145/3229625.3229626 ] [ abs ]. Chang, TC; Gitau, C; Zheng, L; Huang, CY; Gorlatova, M; Chiang, M, Demo Abstract: Decomposing Data Analytics in Fog Networks , Sensys 2017 Proceedings of the 15th Acm Conference on Embedded Networked Sensor Systems, vol 2017-January (2017) [ 10.1145/3131672.3136962 ] [ abs ]. Margolies, R; Gorlatova, M; Sarik, J; Stanje, G; Zhu, J; Miller, P; Szczodrak, M; Vigraham, B; Carloni, L; Kinget, P; Kymissis, I; Zussman, G, Energy-harvesting active networked tags (EnHANTs): Prototyping and experimentation , Acm Transactions on Sensor Networks, vol 11 no. 4 (2015) [ 10.1145/2831236 ] [ abs ]. : diff --git a/src/data/compiled_bios/146.txt b/src/data/compiled_bios/146.txt new file mode 100644 index 0000000000..a01d18a321 --- /dev/null +++ b/src/data/compiled_bios/146.txt @@ -0,0 +1 @@ + Nanotechnology Modeling Laboratory | UW ECE Home Staff Projects Publications Courses Software/Demos TCAD Links Questions or comments? Contact: Professor Scott Dunham, ECE Dept., Univ. of Washington UW Nanotechnology Modeling Laboratory The Nanotechnology Modeling Lab at the University of Washington is part of the Electrical and Computer Engineering Department in the College of Engineering . The efforts within the Lab are focused on obtaining basic understanding of nanofabrication processes and device operation, applying that knowledge to produce better models, simulators and devices. For more information on recent activities see our project descriptions and publications , as well as the activities of the students working in the lab. Research within the Lab includes model development for process simulation, application of a wide range of simulation and modeling tools for device design and optimization, and experimental studies of device fabrication. The Lab is associated with the Institute for Nano-engineered Systems , the Clean Energy Institute , and the Molecular Engineering Materials Center (MEM-C) at UW. Experimental work is conducted in UW's NNCI Washington Nanofabrication Facility (WNF) and Molecular Analysis Facility (MAF) , and in collaboration with partners from academic, industry and government research labs. diff --git a/src/data/compiled_bios/1460.txt b/src/data/compiled_bios/1460.txt new file mode 100644 index 0000000000..c4221c6704 --- /dev/null +++ b/src/data/compiled_bios/1460.txt @@ -0,0 +1 @@ + Andrew D. Hilton Associate Professor of the Practice in the Department of Electrical and Computer Engineering Appointments and Affiliations Associate Professor of the Practice in the Department of Electrical and Computer Engineering Associate Director of Graduate Studies Associate Professor of the Practice of Computer Science Contact Information Office Location: PO Box 90291, Hudson 211, Durham, NC 27708 Office Phone: 660-5177 Email Address: adhilton@ee.duke.edu Websites: http://adhilton.pratt.duke.edu Education Ph.D. University of Pennsylvania, 2010 Research Interests Computer architecture, specifically architectural support for security and energy-efficient performance Courses Taught COMPSCI 553: Compiler Construction ECE 493: Projects in Electrical and Computer Engineering ECE 494: Projects in Electrical and Computer Engineering ECE 551D: Programming, Data Structures, and Algorithms in C++ ECE 553: Compiler Construction ECE 590: Advanced Topics in Electrical and Computer Engineering ECE 891: Internship ECE 899: Special Readings in Electrical Engineering In the News Pratt-Honored Professor on Teaching Programming Before Coding in the Classroom (Oct 15, 2015) Representative Publications Hilton, AD; Lipp, GM; Rodger, SH, A technique for translation from problem to code , Annual Conference on Innovation and Technology in Computer Science Education, Iticse (2018) [ 10.1145/3197091.3205807 ] [ abs ]. Lehman, TS; Hilton, AD; Lee, BC, MAPS: Understanding Metadata Access Patterns in Secure Memory , Proceedings 2018 Ieee International Symposium on Performance Analysis of Systems and Software, Ispass 2018 (2018), pp. 33-43 [ 10.1109/ISPASS.2018.00012 ] [ abs ]. Lehman, TS; Hilton, AD; Lee, BC, PoisonIvy: Safe speculation for secure memory , Proceedings of the Annual International Symposium on Microarchitecture, Micro, vol 2016-December (2016) [ 10.1109/MICRO.2016.7783741 ] [ abs ]. Huang, Z; Hilton, AD; Lee, BC, Decoupling Loads for Nano-Instruction Set Computers , Proceedings 2016 43rd International Symposium on Computer Architecture, Isca 2016 (2016), pp. 406-417 [ 10.1109/ISCA.2016.43 ] [ abs ]. Jacobvitz, AN; Hilton, AD; Sorin, DJ, Multi-program benchmark definition , 2015 Ieee International Symposium on Performance Analysis of Systems and Software (Ispass) (2015) [ 10.1109/ispass.2015.7095786 ] [ abs ]. : diff --git a/src/data/compiled_bios/1461.txt b/src/data/compiled_bios/1461.txt new file mode 100644 index 0000000000..113d58f736 --- /dev/null +++ b/src/data/compiled_bios/1461.txt @@ -0,0 +1 @@ + Jungsang Kim Professor in the Department of Electrical and Computer Engineering Jungsang Kim leads the Multifunctional Integrated Systems Technology group at Duke University. His main area of current research is quantum information sciences, where his group uses trapped atomic ions and a range of photonics technologies in an effort to construct a scalable quantum information processors and quantum communication networks. His research focuses on introduction of new technologies, such as micro fabricated ion traps, optical micro-electromechanical systems, advanced single photon detectors, compact cryogenics and vacuum technologies, towards a functional integration of quantum information processing systems. Appointments and Affiliations Professor in the Department of Electrical and Computer Engineering Professor of Physics Contact Information Office Location: Fciemas 2519, Durham, NC 27708 Office Phone: (919) 660-5258 Email Address: jungsang@ee.duke.edu Websites: Multifunctional Integrated Systems Technology Group Research Interests Quantum Computing with Trapped Ions, Quantum Information Science, Novel Photonic Devices, Application of Quantum Computers Courses Taught ECE 523: Quantum Information Science ECE 722: Quantum Electronics PHYSICS 791: SPECIAL READINGS In the News Duke to Lead $15 Million Program to Create First Practical Quantum Computer (Aug 7, 2018 | Pratt School of Engineering) Venture Firms Back Startup with Novel Twist on Quantum Computing (Jul 26, 2017 | The Wall Street Journal) From the Abacus to Supercomputers to Quantum Computers (Jun 12, 2017 | Pratt School of Engineering) Photonics Researchers Continue Steps Toward's World's First Quantum Computer (Feb 12, 2016) Grant Targets Quantum Computings Error Control Challenge (Jan 6, 2016) Pratt Engineers Awarded Four Department of Defense Grants (Jun 18, 2013) Representative Publications Cahall, C; Nicolich, KL; Islam, NT; Lafyatis, GP; Miller, AJ; Gauthier, DJ; Kim, J, Photon-Number Resolution in Conventional Superconducting Nanowire Single-photon Detectors: Experimental Demonstration , 2018 Conference on Lasers and Electro Optics, Cleo 2018 Proceedings (2018) [ abs ]. Nicolich, KL; Cahall, C; Islam, NT; Lafyatis, GP; Kim, J; Gauthier, DJ, Photon-Number Resolution in Conventional Superconducting Nanowire Single-Photon Detectors: Theoretical Predictions , 2018 Conference on Lasers and Electro Optics, Cleo 2018 Proceedings (2018) [ abs ]. Islam, NT; Lim, CCW; Cahall, C; Qi, B; Kim, J; Gauthier, DJ, High-rate Time-bin Quantum Key Distribution Using Quantum-controlled Measurement , 2018 Conference on Lasers and Electro Optics, Cleo 2018 Proceedings (2018) [ abs ]. Aragoneses, A; Islam, NT; Eggleston, M; Lezama, A; Kim, J; Gauthier, DJ, Bounding the outcome of a two-photon interference measurement using weak coherent states. , Optics Letters, vol 43 no. 16 (2018), pp. 3806-3809 [ 10.1364/ol.43.003806 ] [ abs ]. Cahall, C; Gauthier, DJ; Kim, J, Scalable cryogenic readout circuit for a superconducting nanowire single-photon detector system. , Review of Scientific Instruments, vol 89 no. 6 (2018) [ 10.1063/1.5018179 ] [ abs ]. Additional Information Complete List of Representative Publications : diff --git a/src/data/compiled_bios/1462.txt b/src/data/compiled_bios/1462.txt new file mode 100644 index 0000000000..9150a23bb9 --- /dev/null +++ b/src/data/compiled_bios/1462.txt @@ -0,0 +1 @@ + Benjamin C. Lee Associate Professor in the Department of Electrical and Computer Engineering Benjamin Lee's research focuses on computer architecture and systems, energy efficiency, performance modeling, and algorithmic economics for resource management. He is also interested inpolicy for environmentally sustainable information technology infrastructure. Lee held an NSF Computing Innovation Fellowship at Stanford University (2009). He also held visiting research positions at Microsoft Research (2008), Intel Corporation (2007), and Lawrence Livermore National Laboratory (2006). He earned his B.S. from the University of California at Berkeley (2004) and his S.M., Ph.D. from Harvard University (2008). Appointments and Affiliations Associate Professor in the Department of Electrical and Computer Engineering Faculty Network Member of The Energy Initiative Contact Information Office Location: 210 Hudson Hall, Box 90291, Durham, NC 27705 Office Phone: (919) 660-5043 Email Address: benjamin.c.lee@duke.edu Websites: http://duke.edu/~bcl15/ Education Ph.D. Harvard University , 2008 Research Interests Computer architecture and systems, energy efficiency, performance modeling, and algorithmic economics for resource management; policy for environmentally sustainable information technology infrastructure Awards, Honors, and Distinctions Top Picks from Computer Architecture Conferences. IEEE Micro. 2015 Nortel Networks Professorship. Duke University. 2013 CAREER Award. National Science Foundation. 2012 Faculty Research Award. Google. 2011 Research Highlight. Communications of the ACM. 2011 Research Highlight. Communications of the ACM. 2010 Computing Innovation Fellowship. National Science Foundation. 2009 Top Picks from Computer Architecture Conferences. IEEE Micro. 2009 Best Paper Nomination. IEEE International Symposium on Microarchitecture. 2008 Harvard University Nomination. ACM Doctoral Dissertation Award. 2008 Invited Participant. St. Gallen Symposium. 2008 Invited Participant. St. Gallen Symposium. 2007 First Place, Student Research Competition. IEEE/ACM Supercomputing. 2006 Best Paper. International Conference on Parallel Processing. 2004 Engineering and Applied Sciences Fellowship. Harvard University. 2004 Best Student Paper Finalist. IEEE/ACM Supercomputing . 2002 Courses Taught COMPSCI 250D: Computer Architecture COMPSCI 393: Research Independent Study COMPSCI 394: Research Independent Study COMPSCI 550: Advanced Computer Architecture I ECE 250D: Computer Architecture ECE 391: Projects in Electrical and Computer Engineering ECE 392: Projects in Electrical and Computer Engineering ECE 493: Projects in Electrical and Computer Engineering ECE 494: Projects in Electrical and Computer Engineering ECE 552: Advanced Computer Architecture I ECE 891: Internship ECE 899: Special Readings in Electrical Engineering Representative Publications Lee, BC, Datacenter Design and Management: A Computer Architect's Perspective , vol 11 (2016), pp. 1-121 [ 10.2200/S00693ED1V01Y201601CAC037 ] [ abs ]. Zahedi, SM; Lee, BC, Sharing Incentives and Fair Division for Multiprocessors , Ieee Micro, vol 35 no. 3 (2015), pp. 92-100 [ 10.1109/MM.2015.49 ] [ abs ]. Lee, BC, Message from the general chair , Ispass 2015 Ieee International Symposium on Performance Analysis of Systems and Software (2015) [ 10.1109/ISPASS.2015.7095776 ] [ abs ]. Zahedi, SM; Lee, BC, REF: Resource elasticity fairness with sharing incentives for multiprocessors , International Conference on Architectural Support for Programming Languages and Operating Systems Asplos (2014), pp. 145-159 [ 10.1145/2541940.2541962 ] [ abs ]. Guevara, M; Lubin, B; Lee, BC, Market mechanisms for managing datacenters with heterogeneous microarchitectures , Acm Transactions on Computer Systems, vol 32 no. 1 (2014), pp. 1-31 [ 10.1145/2541258 ] [ abs ]. : diff --git a/src/data/compiled_bios/1463.txt b/src/data/compiled_bios/1463.txt new file mode 100644 index 0000000000..f3b4753bc0 --- /dev/null +++ b/src/data/compiled_bios/1463.txt @@ -0,0 +1 @@ + Hai "Helen" Li Clare Boothe Luce Associate Professor of Electrical and Computer Engineering Research Interests: Brain-inspired computing systems, neuromorphic design Memory design and architecture based on conventional and emerging technologies Device/circuit/architecture co-design for low power and high performance Appointments and Affiliations Associate Professor in the Department of Electrical and Computer Engineering Associate Professor of Computer Science Contact Information Office Location: Rm103 Hudson Hall, 100 Science Dr., Durham, NC 27701 Office Phone: (919) 660-1373 Email Address: hai.li@duke.edu Websites: Google Scholar Personal page Education Ph.D. Purdue University, 2004 Research Interests Brain-inspired computing systems and neuromorphic design, memory design and architecture based on conventional and emerging technologies, and device/circuit/architecture co-design for low power and high performance. Awards, Honors, and Distinctions Best Paper Award for the paper titled Classification Accuracy Improvement for Neuromorphic Computing Systems with One-level Precision Synapses. Asia and South Pacific Design Automation Conference (ASPDAC). 2017 Fulton C. Noss Faculty Fellow. University of Pittsburgh. 2016 Best Paper Award for the paper titled Quantitative Modeling of Racetrack Memory - A Tradeoff among Area, Performance, and Power. Asia and South Pacific Design Automation Conference (ASPDAC). 2015 Air Force Summer Faculty Fellowship Program Award (AF-SFFP). AFRL/RITC. 2015 Best Paper Award for the paper titled A Weighted Sensing Scheme for ReRAM-based Cross-point Memory Array. IEEE Computer Society Annual Symposium on VLSI (ISVLSI). 2014 Best Paper Award for the paper titled Coordinating Prefetching and STT-RAM based Last-level Cache Management for Multicore Systems. Proceedings of the 23rd ACM International Conference on Great Lakes Symposium on VLSI (GLSVLSI). 2013 Air Force Visiting Faculty Research Program (VFRP) Fellowship. AFRL/RIB. 2013 DARPA Young Faculty Award. Defense Advanced Research Projects Agency (DARPA). 2013 NSF Career Award. National Science Foundation (NSF). 2012 Air Force Summer Faculty Fellowship Program Award (AF-SFFP). AFRL/RITC. 2011 Best Paper Award for the paper titled Combined Magnetic- and Circuit-level Enhancements for the Nondestructive Self-Reference Scheme of STT-RAM. ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED). 2010 Best Paper Award for the paper titled Design Margin Exploration of Spin-Torque Transfer RAM (SPRAM). the 9th International Symposium on Quality Electronic Design (ISQED). 2008 Courses Taught COMPSCI 350L: Digital Systems ECE 350L: Digital Systems ECE 550D: Fundamentals of Computer Systems and Engineering ECE 590: Advanced Topics in Electrical and Computer Engineering ECE 891: Internship ECE 899: Special Readings in Electrical Engineering In the News Hai Helen Li: New Pratt Professor Models the Future of Computing After the Human Brain (Jan 3, 2017) Representative Publications Yang, J; Wang, X; Zhou, Q; Wang, Z; Li, H; Chen, Y; Zhao, W, Exploiting Spin-Orbit Torque Devices As Reconfigurable Logic for Circuit Obfuscation , Ieee Transactions on Computer Aided Design of Integrated Circuits and Systems, vol 38 no. 1 (2019), pp. 57-69 [ 10.1109/tcad.2018.2802870 ] [ abs ]. Song, C; Cheng, HP; Yang, H; Li, S; Wu, C; Wu, Q; Chen, Y; Li, H, MAT: A multi-strength adversarial training method to mitigate adversarial attacks , Proceedings of Ieee Computer Society Annual Symposium on Vlsi, Isvlsi, vol 2018-July (2018), pp. 476-481 [ 10.1109/ISVLSI.2018.00092 ] [ abs ]. Li, HH; Wang, Y; Wen, W, Message from the technical program chairs , Proceedings of Ieee Computer Society Annual Symposium on Vlsi, Isvlsi, vol 2018-July (2018), pp. xiii-xiv [ 10.1109/ISVLSI.2018.00006 ] [ abs ]. Wang, D; Ma, L; Zhang, M; An, J; Li, HH; Chen, Y, Shift-Optimized Energy-Efficient Racetrack-Based Main Memory , Journal of Circuits, Systems and Computers, vol 27 no. 5 (2018) [ 10.1142/S0218126618500810 ] [ abs ]. Yang, Q; Li, H; Wu, Q, A Quantized Training Method to Enhance Accuracy of ReRAM-based Neuromorphic Systems , 2018 Ieee International Symposium on Circuits and Systems (Iscas) (2018) [ 10.1109/iscas.2018.8351327 ] [ abs ]. : diff --git a/src/data/compiled_bios/1464.txt b/src/data/compiled_bios/1464.txt new file mode 100644 index 0000000000..6e60a0e1e4 --- /dev/null +++ b/src/data/compiled_bios/1464.txt @@ -0,0 +1 @@ + Xin Li Professor in the Department of Electrical and Computer Engineering Prof. Xin Li received the Ph.D. degree in Electrical and Computer Engineering from Carnegie Mellon University, Pittsburgh, Pennsylvania, in 2005, and the M.S. and B.S. degrees in Electronics Engineering from Fudan University, Shanghai, China, in 2001 and 1998, respectively. In 2005, he co-founded Xigmix Inc. to commercialize his PhD research, and served as the Chief Technical Officer until the company was acquired by Extreme DA in 2007. In 2011, Extreme DA was further acquired by Synopsis (Nasdaq: SNPS). From 2009 to 2012, he was the Assistant Director for FCRP Focus Research Center for Circuit & System Solutions (C2S2), a national consortium of 13 research universities (CMU, MIT, Stanford, Berkeley, UIUC, UMich, Columbia, UCLA, among others) chartered by the U.S. semiconductor industry and U.S. Department of Defense to work on next-generation integrated circuit design challenges. From 2014 to 2015, he was the Assistant Director for the Center for Silicon System Implementation (CSSI), a CMU research center with 20 faculty members working on integrated circuits and systems. His research interests include integrated circuit, signal processing and data analytics. He was an Associate Editor of IEEE Trans. on Biomedical Engineering (TBME), IEEE Trans. on Computer-Aided Design of Integrated Circuits and Systems (TCAD), ACM Trans. on Design Automation of Electronic Systems (TODAES), IEEE Design & Test (D&T), and Journal of Low Power Electronics (JOLPE). He was the Guest Editor for IEEE TCAD, IEEE TNANO, IEEE TBD, IEEE D&T, IEEE JETCAS, ACM TCPS, ACM JETC and VLSI Integration. He served on the Executive Committee of ACM Special Interest Group on Design Automation (SIGDA), IEEE Systems, Man, and Cybernetics Society Technical Committee on Cybernetics for Cyber-Physical Systems (TCCCPS), and IEEE Computer Society Technical Committee on VLSI (TCVLSI). He was the General Chair of ISVLSI, iNIS and FAC, and the Technical Program Chair of CAD/Graphics. He also served on the ACM/SIGDA Outstanding PhD Dissertation Award Selection Committee, the IEEE TTTC E. J. McCluskey Best Doctoral Thesis Selection Committee, the IEEE Outstanding Young Author Award Selection Committee, the Executive Committee of ISVLSI, GLSVLSI and iNIS, and the Technical Program Committee of DAC, ICCAD, ITC, ISVLSI, FAC, CAD/Graphics, ASICON and VLSI. He received the NSF Faculty Early Career Development Award (CAREER) in 2012, two IEEE Donald O. Pederson Best Paper Awards in 2013 and 2016, the Best Paper Award from Design Automation Conference (DAC) in 2010, two IEEE/ACM William J. McCalla ICCAD Best Paper Awards in 2004 and 2011, and the Best Paper Award from International Symposium on Integrated Circuits (ISIC) in 2014. In addition to these awards, he also received six Best Paper Nominations from Design Automation Conference (DAC), International Conference on Computer-Aided Design (ICCAD) and Custom Integrated Circuits Conference (CICC). Appointments and Affiliations Professor in the Department of Electrical and Computer Engineering Professor of Electrical and Computer Engineering at Duke Kunshan University Contact Information Office Location: 2529 CIEMAS Building, Box 90291, Durham, NC 27708 Email Address: xinli.ece@duke.edu Websites: Li Research Group Education Ph.D. Carnegie Mellon University, 2005 MR Fudan University (China), 2001 Research Interests Integrated circuits, signal processing and data analytics Awards, Honors, and Distinctions Fellow. Institute of Electrical and Electronics Engineers. 2017 Best Paper Nomination. Design Automation Conference. 2016 IEEE Donald O. Pederson Best Paper Award. IEEE Council on EDA. 2016 Best Paper Nomination. Design Automation Conference. 2015 Best Paper Award. International Symposium on Integrated Circuits. 2014 Best Paper Nomination. Design Automation Conference. 2014 Best Paper Nomination. International Conference on Computer-Aided Design. 2014 IEEE Donald O. Pederson Best Paper Award. IEEE Council on EDA. 2013 NSF CAREER Award. NSF. 2012 IEEE/ACM William J. McCalla ICCAD Best Paper Award. IEEE/ACM. 2011 Best Paper Award. Design Automation Conference. 2010 Senior Member. Institute of Electrical and Electronics Engineers. 2010 Winner of Data Analysis Competition. International Conference on Biomagnetism. 2010 Best Paper Nomination. Design Automation Conference. 2006 IEEE/ACM William J. McCalla ICCAD Best Paper Award. IEEE/ACM. 2004 Courses Taught COMPSCI 282K: Numerical Methods for Scientific Computing and Machine Learning ECE 891: Internship In the News Duke Engineers Are Inventing Headlights That Recognize Surrounding Environments (Oct 26, 2018 | Pratt School of Engineering) Accelerating Self-Driving Car Innovation (Mar 5, 2018 | Pratt School of Engineering) Xin Li: Pushing Integrated Circuits to New Heights and New Frontiers (Oct 7, 2016 | Pratt School of Engineering) Representative Publications Jun, M; Negi, R; Yin, S; Alawieh, M; Wang, F; Sunny, M; Mukherjee, T; Li, X, Environment-Adaptable Fast Multi-Resolution (EAF-MR) optimization in large-scale RF-FPGA systems , Eurasip Journal on Wireless Communications and Networking, vol 2018 no. 1 (2018) [ 10.1186/s13638-018-1042-4 ] [ abs ]. Alawieh, MB; Wang, F; Li, X, Efficient Hierarchical Performance Modeling for Analog and Mixed-Signal Circuits via Bayesian Co-Learning , Ieee Transactions on Computer Aided Design of Integrated Circuits and Systems, vol 37 no. 12 (2018), pp. 2986-2998 [ 10.1109/tcad.2018.2789778 ] [ abs ]. Xue, Y; Li, X; Blanton, RD, Improving Diagnostic Resolution of Failing ICs Through Learning , Ieee Transactions on Computer Aided Design of Integrated Circuits and Systems, vol 37 no. 6 (2018), pp. 1288-1297 [ 10.1109/tcad.2016.2611499 ] [ abs ]. Alawieh, MB; Wang, F; Li, X, Identifying wafer-level systematic failure patterns via unsupervised learning , Ieee Transactions on Computer Aided Design of Integrated Circuits and Systems, vol 37 no. 4 (2018), pp. 832-844 [ 10.1109/TCAD.2017.2729469 ] [ abs ]. Yu, H; Li, X, Intelligent corner synthesis via cycle-consistent generative adversarial networks for efficient validation of autonomous driving systems , Proceedings of the Asia and South Pacific Design Automation Conference, Asp Dac, vol 2018-January (2018), pp. 9-15 [ 10.1109/ASPDAC.2018.8297275 ] [ abs ]. : diff --git a/src/data/compiled_bios/1465.txt b/src/data/compiled_bios/1465.txt new file mode 100644 index 0000000000..d9d79c393b --- /dev/null +++ b/src/data/compiled_bios/1465.txt @@ -0,0 +1 @@ + Iman Marvian Assistant Professor in the Department of Electrical and Computer Engineering Iman Marvian completed his PhD in Physics in October 2012 at the University of Waterloo and Perimeter Institute for Theoretical Physics in Waterloo, Ontario. He worked at the University of Southern California (Nov 2012-Aug 2015) and MIT (Sept 2015-Dec 2017) as postdoctoral researcher. His main research interest is quantum information and computation theory. He has worked on a wide range of topics in this field, including quantum algorithms, quantum error suppression, open quantum systems, quantum resource theories and quantum thermodynamics. Also, he is very interested in finding applications for ideas and techniques developed in quantum information theory in the rest of physics. Appointments and Affiliations Assistant Professor in the Department of Electrical and Computer Engineering Assistant Professor in the Department of Physics Contact Information Office Location: 186 Physics Bldg., Box 90305, Durham, NC 27708 Office Phone: (919) 660-2903 Email Address: iman.marvian@duke.edu Websites: Homepage Education Ph.D. University of Waterloo (Canada), 2012 Research Interests Quantum information and computation theory Courses Taught ECE 523: Quantum Information Science ECE 590: Advanced Topics in Electrical and Computer Engineering PHYSICS 493: Research Independent Study PHYSICS 495: Thesis Independent Study PHYSICS 590: Selected Topics in Theoretical Physics PHYSICS 627: Quantum Information Science Representative Publications Marvian, I; Spekkens, RW, Extending Noethers theorem by quantifying the asymmetry of quantum states , Nature Communications, vol 5 no. 1 (2014) [ 10.1038/ncomms4821 ] [ abs ]. Marvian, I; Spekkens, RW, A Generalization of SchurWeyl Duality with Applications in Quantum Estimation , Communications in Mathematical Physics, vol 331 no. 2 (2014), pp. 431-475 [ 10.1007/s00220-014-2059-0 ] [ abs ]. Marvian, I, Coherence distillation machines are impossible in quantum thermodynamics [ abs ]. Marvian, I, Symmetry-protected topological entanglement , Physical Review B, vol 95 no. 4 [ 10.1103/physrevb.95.045111 ] [ abs ]. Marvian, I; Spekkens, RW, How to quantify coherence: Distinguishing speakable and unspeakable notions , Physical Review A, vol 94 no. 5 [ 10.1103/physreva.94.052324 ] [ abs ]. : diff --git a/src/data/compiled_bios/1466.txt b/src/data/compiled_bios/1466.txt new file mode 100644 index 0000000000..db532469b2 --- /dev/null +++ b/src/data/compiled_bios/1466.txt @@ -0,0 +1 @@ + Miroslav Pajic Nortel Networks Assistant Professor in the Pratt School of Engineering Miroslav Pajic's researchfocuses on design and analysis of cyber-physical systems and in particular, embedded and distributed/networked control, real-time and embedded systems, and high-confidence medical device systems. Appointments and Affiliations Nortel Networks Assistant Professor in the Pratt School of Engineering Assistant Professor in the Department of Electrical and Computer Engineering Assistant Professor of Computer Science Contact Information Email Address: mp275@duke.edu Websites: Webpage Education Ph.D. University of Pennsylvania, 2012 Research Interests Design and analysis of cyber-physical systems (CPS), in particular, embedded systems, distributed/networked control systems, CPS security, and high-confidence medical systems Courses Taught COMPSCI 391: Independent Study ECE 459: Introduction to Embedded Systems ECE 494: Projects in Electrical and Computer Engineering ECE 495: Special Topics in Electrical and Computer Engineering ECE 590: Advanced Topics in Electrical and Computer Engineering ECE 891: Internship EGR 393: Research Projects in Engineering In the News Finding Free Bytes for Security (Oct 12, 2018 | Pratt School of Engineering) Duke Partners with NSF, Others to Secure and Protect the Emerging Internet of Things (Aug 31, 2015) Miroslav Pajic: Making Smart Systems That Interact with the Physical World (Apr 2, 2015 | Pratt School of Engineering) Representative Publications Ivanov, R; Atanasov, N; Pajic, M; Pappas, G; Lee, I, Robust estimation using context-aware filtering , 2015 53rd Annual Allerton Conference on Communication, Control, and Computing, Allerton 2015 (2016), pp. 590-597 [ 10.1109/ALLERTON.2015.7447058 ] [ abs ]. Ivanov, R; Pajic, M; Lee, I, Attack-resilient sensor fusion for safety-critical cyber-physical systems , Acm Transactions on Embedded Computing Systems, vol 15 no. 1 (2016) [ 10.1145/2847418 ] [ abs ]. Pajic, M; Park, J; Lee, I; Pappas, GJ; Sokolsky, O, Automatic verification of linear controller software , 2015 International Conference on Embedded Software (Emsoft) (2015) [ 10.1109/emsoft.2015.7318277 ] [ abs ]. Jakovljevic, Z; Puzovic, R; Pajic, M, Recognition of Planar Segments in Point Cloud based on Wavelet Transform , Ieee Transactions on Industrial Informatics (2015), pp. 342-352 [ 10.1109/TII.2015.2389195 ] [ abs ]. Gatsis, K; Pajic, M; Ribeiro, A; Pappas, GJ, Opportunistic Control Over Shared Wireless Channels , Ieee Transactions on Automatic Control (2015), pp. 3140-3155 [ 10.1109/TAC.2015.2416922 ] [ abs ]. Jakovljevic, Z; Petrovic, PB; Milkovic, D; Pajic, M, Diagnosis of irregularities in the robotized part mating process based on contextual recognition of contact states transitions , Assembly Automation, vol 35 no. 2 (2015), pp. 190-199 [ 10.1108/AA-10-2014-077 ] [ abs ]. Faruque, MAA; Regazzoni, F; Pajic, M, Design methodologies for securing cyber-physical systems. , Proceedings of the 10th International Conference on Hardware/Software Codesign and System Synthesis (Codes+Isss) (2015), pp. 30-36 [ 10.1109/CODESISSS.2015.7331365 ] [ abs ]. Park, J; Ivanov, R; Weimer, J; Pajic, M; Lee, I, Sensor attack detection in the presence of transient faults. , Proceedings of the 6th Acm/Ieee International Conference on Cyber Physical Systems (Iccps) (2015), pp. 1-10 [ 10.1145/2735960.2735984 ] [ abs ]. Pajic, M; Weimer, J; Bezzo, N; Tabuada, P; Sokolsky, O; Lee, I; Pappas, GJ, Robustness of attack-resilient state estimators , Cyber Physical Systems (Iccps), 2014 Acm/Ieee International Conference On (2014), pp. 163-174 [ 10.1109/ICCPS.2014.6843720 ] [ abs ]. Gatsis, K; Pajic, M; Ribeiro, A; Pappas, GJ, Opportunistic scheduling of control tasks over shared wireless channels , Cyber Physical Systems (Iccps), 2014 Acm/Ieee International Conference On (2014), pp. 48-59 [ 10.1109/ICCPS.2014.6843710 ] [ abs ]. Pajic, M; Jiang, Z; Lee, I; Sokolsky, O; Mangharam, R, Safety-critical medical device development using the UPP2SF model translation tool , Acm Transactions on Embedded Computing Systems, vol 13 no. 4 SPEC. ISSUE (2014) [ 10.1145/2584651 ] [ abs ]. Jiang, Z; Pajic, M; Alur, R; Mangharam, R, Closed-loop verification of medical devices with model abstraction and refinement , International Journal on Software Tools for Technology Transfer, vol 16 no. 2 (2014), pp. 191-213 [ 10.1007/s10009-013-0289-7 ] [ abs ]. Ivanov, R; Pajic, M; Lee, I, Attack-resilient sensor fusion , Design, Automation & Test in Europe Conference & Exhibition (Date), 2014 (2014) [ 10.7873/date.2014.067 ] [ abs ]. Pajic, M; Mangharam, R; Pappas, GJ; Sundaram, S, Topological Conditions for In-Network Stabilization of Dynamical Systems , Ieee Journal on Selected Areas in Communications, vol 31 no. 4 (2013), pp. 794-807 [ 10.1109/jsac.2013.130415 ] [ abs ]. Pajic, M; Sundaram, S; Pappas, GJ, Stabilizability over deterministic relay networks , Proceedings of the Ieee Conference on Decision and Control (2013), pp. 4018-4023 [ 10.1109/CDC.2013.6760504 ] [ abs ]. Pajic, M; Chernoguzov, A; Mangharam, R, Robust architectures for embedded wireless network control and actuation , Acm Transactions on Embedded Computing Systems, vol 11 no. 4 (2012) [ 10.1145/2362336.2362349 ] [ abs ]. Pajic, M; Mangharam, R; Sokolsky, O; Arney, D; Goldman, J; Lee, I, Model-Driven Safety Analysis of Closed-Loop Medical Systems. , Ieee Transactions on Industrial Informatics (2012) [ 10.1109/TII.2012.2226594 ] [ abs ]. Pajic, M; Jiang, Z; Lee, I; Sokolsky, O; Mangharam, R, From verification to implementation: A model translation tool and a pacemaker case study , Real Time Technology and Applications Proceedings (2012), pp. 173-184 [ 10.1109/RTAS.2012.25 ] [ abs ]. Pajic, M; Sundaram, S; Le Ny, J; Pappas, GJ; Mangharam, R, Closing the loop: A simple distributed method for control over wireless networks , Ipsn'12 Proceedings of the 11th International Conference on Information Processing in Sensor Networks (2012), pp. 25-36 [ 10.1145/2185677.2185681 ] [ abs ]. Jiang, Z; Pajic, M; Moarref, S; Alur, R; Mangharam, R, Modeling and verification of a dual chamber implantable pacemaker , Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol 7214 LNCS (2012), pp. 188-203 [ 10.1007/978-3-642-28756-5_14 ] [ abs ]. Zhihao, J; Pajic, M; Mangharam, R, Cyber-Physical Modeling of Implantable Cardiac Medical Devices , Proceedings of the Ieee, vol 100 no. 1 (2012), pp. 122-137 [ 10.1109/JPROC.2011.2161241 ] [ abs ]. Jiang, Z; Pajic, M; Moarref, S; Alur, R; Mangharam, R, Modeling and Verification of a Dual Chamber Implantable Pacemaker , vol 7214 (2012), pp. 188-203 [ 10.1007/978-3-642-28756-5_14 ] [ abs ]. Pajic, M; Sundaram, S; Pappas, GJ; Mangharam, R, The wireless control network: A new approach for control over networks , Ieee Transactions on Automatic Control, vol 56 no. 10 (2011), pp. 2305-2318 [ 10.1109/TAC.2011.2163864 ] [ abs ]. Pajic, M; Tabuada, P., ; Lee, I., ; Pappas, G.J., , Attack-Resilient State Estimation in the Presence of Noise , pp. 527-532 [ abs ]. : diff --git a/src/data/compiled_bios/1467.txt b/src/data/compiled_bios/1467.txt new file mode 100644 index 0000000000..2e0c0b1f9e --- /dev/null +++ b/src/data/compiled_bios/1467.txt @@ -0,0 +1 @@ + Cynthia D. Rudin Associate Professor of Computer Science Cynthia Rudin is an associate professor of computer science, electrical and computer engineering, statistical science and mathematics at Duke University, and directs the Prediction Analysis Lab. Previously, Prof. Rudin held positions at MIT, Columbia, and NYU. She holds an undergraduate degree from the University at Buffalo, and a PhD in applied and computational mathematics from Princeton University. She is the recipient of the 2013 and 2016 INFORMS Innovative Applications in Analytics Awards, an NSF CAREER award, was named as one of the "Top 40 Under 40" by Poets and Quants in 2015, and was named by Businessinsider.com as one of the 12 most impressive professors at MIT in 2015. Work from her lab has won 10 best paper awards in the last 5 years. She is past chair of the INFORMS Data Mining Section, and is currently chair of the Statistical Learning and Data Science section of the American Statistical Association. She also serves on (or has served on) committees for DARPA, the National Institute of Justice, the National Academy of Sciences (for both statistics and criminology/law), and AAAI. Appointments and Affiliations Associate Professor of Computer Science Associate Professor of Electrical and Computer Engineering Associate Professor of Mathematics Associate Professor of Statistical Science Education Ph.D. Princeton University, 2004 Research Interests Machine learning, interpretability and transparency of predictive models, causal inference, energy, criminal justice, healthcare Courses Taught COMPSCI 290: Topics in Computer Science COMPSCI 393: Research Independent Study COMPSCI 394: Research Independent Study COMPSCI 571D: Machine Learning COMPSCI 671D: Machine Learning - Introductory PhD Level ECE 682D: Probabilistic Machine Learning STA 493: Research Independent Study STA 561D: Probabilistic Machine Learning STA 671D: Machine Learning - Introductory PhD Level STA 993: Independent Study In the News Duke Team Attempts a Real-Life Version of CSI 'Zoom and Enhance' (Dec 5, 2018) Bard or Bot? (Nov 15, 2018) Opening the Lid on Criminal Sentencing Software (Jul 19, 2017) Data in, Decisions Out: Pratt's Cynthia Rudin Designs Algorithms to Turn Raw Information Into Informed Choices (Mar 15, 2017 | Pratt School of Engineering) Cynthia Rudin: Training Computers to Find Patterns That Humans Miss (Oct 2, 2016) Representative Publications , Learning customized and optimized lists of rules with mathematical programming , Mathematical Programming Computation, vol 10 no. 4 (2018), pp. 659-702 [ 10.1007/s12532-018-0143-8 ] [ abs ]. Rudin, C; Ustun, B, Optimized Scoring Systems: Toward Trust in Machine Learning for Healthcare and Criminal Justice , Interfaces, vol 48 no. 5 (2018), pp. 449-466 [ 10.1287/inte.2018.0957 ] [ abs ]. Vu, M-AT; Adal, T; Ba, D; Buzski, G; Carlson, D; Heller, K; Liston, C; Rudin, C; Sohal, VS; Widge, AS; Mayberg, HS; Sapiro, G; Dzirasa, K, A Shared Vision for Machine Learning in Neuroscience. , The Journal of Neuroscience : the Official Journal of the Society for Neuroscience, vol 38 no. 7 (2018), pp. 1601-1607 [ 10.1523/JNEUROSCI.0508-17.2018 ] [ abs ]. , Learning certifiably optimal rule lists for categorical data , Journal of Machine Learning Research, vol 18 (2018), pp. 1-78 [ abs ]. Li, O; Liu, H; Chen, C; Rudin, C, Deep learning for case-based reasoning through prototypes: A neural network that explains its predictions , 32nd Aaai Conference on Artificial Intelligence, Aaai 2018 (2018), pp. 3530-3537 [ abs ]. : diff --git a/src/data/compiled_bios/1468.txt b/src/data/compiled_bios/1468.txt new file mode 100644 index 0000000000..ae216581e6 --- /dev/null +++ b/src/data/compiled_bios/1468.txt @@ -0,0 +1 @@ + Daniel J. Sorin Addy Professor of Electrical and Computer Engineering in the Edmund T. Pratt, Jr. School of Engineering Dr. Daniel Sorin is the Addy Professor of Electrical and Computer Engineering and of Computer Science. His research interests are primarily in computer architecture and dependability. Appointments and Affiliations Addy Professor of Electrical and Computer Engineering in the Edmund T. Pratt, Jr. School of Engineering Professor of Electrical and Computer Engineering Contact Information Office Location: 209C Hudson Hall, Durham, NC 27708 Office Phone: (919) 660-5439 Email Address: sorin@ee.duke.edu Websites: http://www.ee.duke.edu/~sorin Education Ph.D. University of Wisconsin at Madison, 2002 M.S. University of Wisconsin at Madison, 1998 B.S. Duke University, 1996 Research Interests Computer architecture, designing microarchitectures so that they are easier to verify, improving computer system fault tolerance, developing memory systems for multicore processors, and designing special-purpose accelerators Awards, Honors, and Distinctions Program Chair of HiPEAC 2017. HiPEAC. 2017 Co-chair of selection committee for IEEE Micro's Top Picks 2016. IEEE Micro. 2016 Associate Editor in Chief. Computer Architecture Letters. 2015 IEEE Micro Top Pick. IEEE Micro. 2015 Best Paper Award. 20th International Symposium on High Performance Computer Architecture. 2014 IEEE Micro Top Pick. IEEE Micro. 2011 Lois and John L. Imhoff Distinguished Teaching Award. Pratt School of Engineering. 2011 ACM Senior Member. Association for Computing Machinery. 2009 Eta Kappa Nu. Unknown. 2008 Intel Graduate Fellowship. Unknown. 2008 NSF Early CAREER Award. National Science Foundation. 2008 Outstanding Graduate Research Award. University of Wisconsin. 2008 Phi Beta Kappa. Unknown. 2008 Tau Beta Pi. Unknown. 2008 Top of 2004 - Nanocomputing Research. Technology Research News. 2008 Faculty Early Career Development (CAREER) Program. National Science Foundation. 2005 Courses Taught COMPSCI 250D: Computer Architecture ECE 250D: Computer Architecture ECE 552: Advanced Computer Architecture I ECE 554: Fault-Tolerant and Testable Computer Systems Representative Publications Mappouras, G; Vahid, A; Calderbank, R; Sorin, DJ, Extending flash lifetime in embedded processors by expanding analog choice , Ieee Transactions on Computer Aided Design of Integrated Circuits and Systems, vol 37 no. 11 (2018), pp. 2462-2473 [ 10.1109/TCAD.2018.2857059 ] [ abs ]. Oswald, N; Nagarajan, V; Sorin, DJ, ProtoGen: Automatically generating directory cache coherence protocols from atomic specifications , Proceedings International Symposium on Computer Architecture (2018), pp. 247-260 [ 10.1109/ISCA.2018.00030 ] [ abs ]. Sorin, DJ, Low-Power Content Addressable Memory , Computer, vol 51 no. 3 (2018), pp. 8-9 [ 10.1109/MC.2018.1731073 ] [ abs ]. Mappouras, G; Vahid, A; Calderbank, R; Hower, DR; Sorin, DJ, Jenga: Efficient Fault Tolerance for Stacked DRAM , 2017 Ieee International Conference on Computer Design (Iccd) (2017) [ 10.1109/iccd.2017.62 ] [ abs ]. Matthews, O; Sorin, DJ, Architecting hierarchical coherence protocols for push-button parametric verification , Proceedings of the Annual International Symposium on Microarchitecture, Micro, vol Part F131207 (2017), pp. 477-489 [ 10.1145/3123939.3123971 ] [ abs ]. : diff --git a/src/data/compiled_bios/1469.txt b/src/data/compiled_bios/1469.txt new file mode 100644 index 0000000000..7273588111 --- /dev/null +++ b/src/data/compiled_bios/1469.txt @@ -0,0 +1 @@ + Kishor S. Trivedi Hudson Professor of Electrical and Computer Engineering, in the Edmund T. Pratt, Jr. School of Engineering Kishor Trivedi heads Duke High Availability Assurance Laboratory (DHAAL) and holds the Hudson Chair in the Department of Electrical and Computer Engineering at Duke University. He is known as a leading international expert in the domain of reliability and performability evaluation of Dependable systems, and has made seminal contributions to stochastic modeling formalisms and their efficient solution. He is currently carrying out experimental research in software reliability during operation where he is researching software fault tolerance through environmental diversity. This work, including software bug classification, empirical study of real failure data and associated theory of affordable software fault tolerance, has already gained significant attention. He has made key contributions to his field in many ways. He has encapsulated developed algorithms into usable and well circulated software packages, and applied research results to practical problems working directly with industry. This work has not only been able to solve difficult real-life problems but also produce new research based on the problems. He has published over 600 articles, has supervised 46 Ph.D. dissertations and more than 30 postdoctoral associates. He is a Life Fellow of the Institute of Electrical and Electronics Engineers and a Golden Core Member of IEEE Computer Society. He has served on many editorial boards and conference committees and is the recipient of IEEE Computer Society Technical Achievement Award for his research on Software Aging and Rejuvenation. He is on ISIs highly cited list with an h-index of 97, and has received grants from such governmental agencies as NASA, NATO, NSF, DARPA, AFOSR, ARO, NIH, NSWC, ONR, and RADC. Trivedi has also helped several high-profile companies carry out reliability/availability prediction of their products under design or in existence, including 3Com, Avaya, Boeing, Cisco, DEC, EMC, GE, HP, Huawei, IBM, Lucent, NEC, TCS, Union Switch and Signals, Wipro. Most notable among these, is his help in reliability modeling of the current return network subsystem of the Boeing 787 for FAA certification. The algorithm he developed for this problem has been jointly patented by Boeing and Trivedi. He led the reliability/availability modeling of SIP on IBM WebSphere; this model was responsible for the sale of the system by IBM to AT & T. Furthermore, Trivedi has written several influential books, including textbooks. He is the author of a well-known text entitled, Probability and Statistics with Reliability, Queuing and Computer Science Applications, originally published by Prentice-Hall; a thoroughly revised second edition (including its Indian edition) has been published by John Wiley. This book is translated into Chinese in Nov. 2015. This book has appeared as a paperback in July 2016.He has also published two other books titled, Performance and Reliability Analysis of Computer Systems, published by Springer and Queueing Networks and Markov Chains by John Wiley. His latest book, Reliability and Availability Engineering: Modeling, Analysis and Applications, is published by Cambridge University Press in 2017. Appointments and Affiliations Hudson Professor of Electrical and Computer Engineering, in the Edmund T. Pratt, Jr. School of Engineering Professor of Electrical and Computer Engineering Professor of Electrical and Computer Engineering at Duke Kunshan University Professor of Computer Science Contact Information Office Location: Science Drive, 203 Hudson Eng Ctr, Durham, NC 27708-0291 Office Phone: (919) 660-5269 Email Address: kst@ee.duke.edu Websites: Duke High Availability Assurance Lab (DHAAL) My Research gate webpage Education Ph.D. University of Illinois, 1974 M.S. University of Illinois, 1972 B.S.E.E. Indian Institute of Technology (India), 1968 Research Interests Markov models, Fault trees, Stochastic Petri nets, Reliability Modeling, Availability Modeling, Performability modeling, Survivability modeling, Cyber Security, Software reliability, Software Fault Tolerance, Software Aging and Rejuvenation Awards, Honors, and Distinctions Life Fellow. IEEE. 2017 ONR Faculty Fellow Summer 2015. ONR. 2015 Fellow. Japan Society for the Promotion of Science. 2014 NordsecMob Scholar. Norwegian University of Science and Technology. 2014 Doctor Honoris Causa. USMP, Lima, Peru. 2012 Technical Achievement Award. IEEE Computer Society. 2008 Traditional Fulbright Scholarship. Council for International Exchange of Scholars. 2002 Highly Cited Researcher. Thomson Reuters. 2001 Fellow. Institute for Electrical and Electronics Engineers. 1992 Courses Taught COMPSCI 555: Probability for Electrical and Computer Engineers ECE 555: Probability for Electrical and Computer Engineers ECE 590: Advanced Topics in Electrical and Computer Engineering ECE 891: Internship Representative Publications Ma, X; Trivedi, KS, Reliability and performance of general two-dimensional broadcast wireless network , Performance Evaluation, vol 95 (2016), pp. 41-59 [ 10.1016/j.peva.2015.09.005 ] [ abs ]. Trivedi, KS; Xia, R, Quantification of system survivability , Telecommunication Systems, vol 60 no. 4 (2015), pp. 451-470 [ 10.1007/s11235-015-9988-6 ] [ abs ]. Rak, J; Pickavet, M; Trivedi, KS; Lopez, JA; Koster, AMCA; Sterbenz, JPG; etinkaya, EK; Gomes, T; Gunkel, M; Walkowiak, K; Staessens, D, Future research directions in design of reliable communication systems , Telecommunication Systems, vol 60 no. 4 (2015), pp. 423-450 [ 10.1007/s11235-015-9987-7 ] [ abs ]. : diff --git a/src/data/compiled_bios/147.txt b/src/data/compiled_bios/147.txt new file mode 100644 index 0000000000..992b5c25d2 --- /dev/null +++ b/src/data/compiled_bios/147.txt @@ -0,0 +1 @@ + Maryam Fazel Maryam Fazel Associate Professor of Electrical Engineering Adjunct Associate Professor, Computer Science and Engineering Adjunct Associate Professor, Mathematics Adjunct Associate Professor, Statistics Electrical Engineering Department, University of Washington Office: Paul Allen Center, CSE 230 Address: University of Washington Department of Electrical Engineering Campus Box 352500 Seattle, WA 98195-2500 Phone: (206) 616-4781 Fax: (206) 543-3842 E-mail: mfazel (at) ee(dot)washington(dot)edu URL: http://faculty.washington.edu/mfazel I am an Associate Professor in EE, and hold adjunct appointments in the departments of Computer Science and Engineering, Mathematics, and Statistics at UW. My research interests are in convex optimization, algorithms, machine learning, and control. Prior to joining UW EE, I was a Research Scientist at Caltech . I received my PhD in Electrical Engineering from Stanford University where I was part of the Information Systems Lab , advised by Prof. Stephen Boyd . I co-direct our new NSF TRIPODS Institute, ADSI . I serve on the Editorial board of the MOS-SIAM Book Series on Optimization , and am an Associate Editor of the SIAM Journal of Optimization (SIOPT) , and an associate editor of the new SIAM Journal on Mathematics of Data Science (SIMODS) . I am also the chair of the annual EE Lytle Lecture Series committee, and a coorganizer of the interdepartmental CORE Seminar Series . My entry in the Mathematics Genealogy Project Google Scholar page A Microsoft Academic search page My Erdos number is 3 ! News Sep 2018: ADSI recieved three new NSF TRIPODS+X grants! NSF press release I am the PI on "TRIPODS+X:EDU: Foundational Training Neuroscience and Geoscience via Hack Weeks," and a co-PI on "TRIPODS+X:RES: Safe Imitation Learning for Robotics" (with PI Zaid Harchaoui). UW News press release Aug 2018: ADSI co-organized the Workshop on Nonconvex Formulations and Algorithms in Data Science , with our TRIPODS partner institute IFDS at the University of Wisconsin, Madison.Videos of talks are available here . July 2018: ADSI co-organized the Summer School on Fundamentals of Data Analysis , with our TRIPODS partner institute IFDS at the University of Wisconsin, Madison. Videos of lectures are available here . Apr 2018: I am the PI on a new grant from the DARPA Lagrange program (an exciting recently-established program on optimization) on "Control and Learning of Uncertain Dynamical Systems," with co-PIs Sham Kakade and Mehran Mesbahi. Jan 2018: ADSI launched a new blog highlighting research breakthroughs by its members and affiliates, check it out! Sep 2017: We founded ADSI: Algorithmic Foundations of Data Science Institute , our NSF TRIPODS Institute. I am the co-director (with Sham Kakade ). Other members of the core PI team are: Dmitriy Drusvyatskiy , Zaid Harchaoui , and Yin Tat Lee . Aug 2017: We received an NSF TRIPODS Award ! This funds the Phase I of an NSF Institute at UW aiming to build a Theoretical Foundation for Data Science by bridging Mathematics, Statistics, and Theoretical Computer Science. NSF announcement , UW press here , and here . Reza defended successfully and graduated in Aug 2017. Congratulations!! Research Interests Optimization theory and algorithms, their role in machine learning and data science. Online optimization and online resource allocation. Convex Optimization. Low-rank matrix modeling and rank minimization. Applications in ML, signal processing, and system identification. Funding from the National Science Foundation (NSF) , the Office of Naval Research (ONR) , and the Defense Advanced Research Projects Agency (DARPA) is gratefully acknowledged. Research group Students: Omid Sadeghi Meibodi , EE (BS Sharif Univ of Technology, Iran) Yue Sun , EE (BS Tsinghua Univ, China) Romain Camilleri , CSE (ENS Paris-Saclay/Mines ParisTech, France). Co-advised with Zaid Harchaoui. Jingjing Bu, EE (BS Beihang Univeristy, China). Co-advised with Mehran Mesbahi. Mitas Ray , EE (BS UC Berkeley, CA). Co-advised with Lillian Ratliff. Andrew Wagenmaker, CSE (BS U Michigan, MI). Co-advised with Kevin Jamieson. Alumni: Ting Kei Pong , PhD in Mathematics, June 2011. Co-advised with Prof. Paul Tseng. Currently: Assistant Professor, Dept. of Applied Mathematics, Hong Kong Polytechnic University. Brian Hutchinson , PhD in EE, August 2013. Co-advised with Prof. Mari Ostendorf. Currently: Assistant Professor, Department of Computer Science, Western Washington University. Dvijotham Krishnamurthy , PhD in Computer Science and Engineering, June 2014. Co-advised with Prof. Emo Todorov. Currently: Research Scientist at Google Deepmind. Palma London , BS in EE and Math, June 2014. Currently: PhD student at Caltech. Karthik Mohan , PhD in EE, December 2014. Currently: Data Scientist at Amazon, Inc. James Saunderson , Postdoc (joint position with Caltech), Sep 2015-June 2016. Currently: Assistant Professor, Dept of Electrical and Computer Systems Engineering, Monash Univ, Australia. Amin Jalali , PhD in EE, August 2016. Currently: Discovery Institute Postdoc, University of Wisconsin. Dennis Meng, PhD in EE, May 2017. Reza Eghbali , PhD in EE, August 2017. Currently: Postdoc at the Simons Institute, Berkeley, CA. Publications Some Recent Talks: Simons Institute Open Lecture : Finding Low-Rank Matrices: From Matrix Completion to Recent Trends. November 2017. Part of the program Bridging Continuous and Discrete Optimization (where I was a semester-long visiting scholar). Simons Institute Workshop, September 2017. Talk on Online Optimization, Smoothing, and Competitive Ratio. Simons Institute Workshop, September 2014. Talk on Convex Relaxations for Recovering Simultaneously Structured Objects . Published in Journal or Peer-reviewed Conference: R. Eghbali, J. Saunderson, M. Fazel , Competitive Online Algorithms for Resource Allocation over the Positive Semidefinite Cone , arxiv:1802.01312. Mathematical Programming Series B, Special issue on ISMP'18. Vol. 170, Issue 1, pp 267-292, July 2018. M. Fazel , R. Ge, S. Kakade, M. Mesbahi, Global Convergence of Policy Gradient Methods for the Linear Quadratic Regulator , arxiv:1801.05039. Proceedings of Intl. conference on Machine Learning (ICML), Stockholm, Sweden, July 2018. D. Drusvyatskiy, M. Fazel , S. Roy, An optimal first order method based on optimal quadratic averaging, arXiv:1604.06543. SIAM J. on Optimization, 28-1 (2018), 251271. Matlab code . A. Jalali, M. Fazel , L. Xiao, Variational Gram Functions: Convex Analysis and Optimization , arXiv:1507.04734. SIAM J. on Optimization, 27-4 (2017), pp. 2634-2661. A. Jalali, J. Saunderson, M. Fazel, B. Hassibi, Error bounds for Bregman Denoising and Structured Natural Parameter Estimation . Proc. International Symposium of Information Theory (ISIT), July 2017. R. Eghbali, M. Fazel , Decomposable Norm Minimization with Proximal-Gradient Homotopy Algorithm , arXiv:1501.06711. Computational Optimization and Applications, 66 (2), 345-381, March 2017. A. Jalali, Q. Han, I. Dumitriu, M. Fazel , Relative Density and Exact Recovery in Heterogeneous Stochastic Block Models . Proc. Neural Information Processing Systems (NIPS), Barcelona, Spain, Dec 2016. Full longer version on arxiv. R. Eghbali, M. Fazel , Designing smoothing functions for improved worst-case competitive ratio in online optimization . Proc. Neural Information Processing Systems (NIPS), Barcelona, Spain, Dec 2016. Full longer version on arxiv. R. Eghbali, M. Fazel , M. Mesbahi, Worst Case Competitive Analysis of Greedy Algorithm for Online Conic Optimization . Proc. Conference on Decision and Control (CDC), Las Vegas, NV, Dec 2016. D. Meng, R. Eghbali*, M. Fazel , M. Mesbahi, Online Algorithms for Network Formation. Proc. Conference on Decision and Control (CDC), Las Vegas, NV, Dec 2016. J. Saunderson, M. Fazel , B. Hassibi, Simple algorithms and guarantees for low rank matrix completion over F_2, to appear in Proc. 2016 IEEE International Symposium on Information Theory (ISIT), July 2016. K. Jaganathan, J. Saunderson, M. Fazel , Y. C. Eldar, B. Hassibi, Phaseless super-resolution using masks. Proc. 41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), March 2016 S. Oymak, A. Jalali, M. Fazel , Y. Eldar, B. Hassibi, Simultaneously Structured Models with Applications to Sparse and Low-rank Matrices . IEEE Trans. on Information Theory, 61(5): 2886-2908, May 2015. K. Dvijotham, E. Todorov, M. Fazel , Convex Structured Controller Design , IEEE Trans. on Control of Networked Systems, 2-1 (2015), pp. 1-10. arxiv link . B. Hutchinson, M. Ostendorf, M. Fazel , A Sparse Plus Low-Rank Exponential Language Model for Limited Resource Scenarios . IEEE Transactions on Audio, Speech, and Language Processing, 23(3), 494-504, March/April 2015. K.-M. Tan, P. London, K. Mohan, S.-I. Lee, M. Fazel , D. Witten, Learning Graphical Models With Hubs , Journal of Machine Learning Research (JMLR), 15(Oct):3297-3331, 2014. Related R code. K. Dvijotham, E. Todorov, M. Fazel , Universal Convexification via Risk-Aversion . Conference on Uncertainty in Artifical Intelligence (UAI), July 2014. Best Student Paper Award . K. Mohan, P. London, M. Fazel , D. Witten, S.-I. Lee, Node-Based Learning of Multiple Gaussian Graphical Models . Journal of Machine Learning Research (JMLR), 15(Feb):445-488, 2014. Related Matlab codes (.zip file) . S. Oymak, A. Jalali, M. Fazel , B. Hassibi, Noisy estimation of simultaneously structured models: Limitations of convex relaxation . To appear in Proc. Conference on Decision and Control , Dec 2013. Longer version to be posted soon. K. Dvijotham, E. Theodorou, E. Todorov, M. Fazel , Convexity of Optimal Linear Controller Design . To appear in Proc. Conference on Decision and Control , Dec 2013. K. Dvijotham, E. Todorov, M. Fazel , Convex Control Design via Covariance Minimization . Proc. of Allerton Conference , Oct 2013. M. Fazel , T. K. Pong, D. Sun, P. Tseng, Hankel matrix rank minimization with applications in system identification and realization . SIAM Journal on Matrix Analysis and Applications, 34(3): 946-977, 2013. Related Matlab codes (zip file) . B. Hutchinson, M. Ostendorf, M. Fazel , Exceptions in Language as Learned by the Multi-factor Sparse Plus Low-rank Language Model . Proc. Intl. Conf. on Acoustics, Speech, and Signal Processing (ICASSP) , May 2013. F. Fazel, M. Fazel , M. Stojanovic. Random Access Compressed Sensing over Fading and Noisy Communication Channels . IEEE Trans. on Wireless Communications, 12(5): 2114-2125, May 2013. K. Mohan, M. Chung, S. Han, D. Witten, S.-I. Lee, M. Fazel , Structured Learning of Multiple Gaussian Graphical Models . Proc. Neural Information Processing Systems (NIPS) , Dec 2012. K. Mohan, M. Fazel , Iterative Reweighted Algorithms for Matrix Rank Minimization . Journal of Machine Learning Research (JMLR), 2012. Related Matlab codes (zip file) . B. Hutchinson, M. Ostendorf, M. Fazel , A Sparse Plus Low Rank Maximum Entropy Language Model . Proc. InterSpeech Conference , Sep 2012 (oral presentation). M. Nabi-Abdolyousefi, M. Fazel , Mehran Mesbahi, A Graph Realization Approach to Network Identification , Proc. of Conference in Decision and Control (CDC) , Dec. 2012. F. Fazel, M. Fazel , M. Stojanovic, Compressed Sensing in Random Access Networks with Applications to Underwater Monitoring . Physical Communications Journal (Elsevier), special issue on Compressive Sensing in Communications. F. Fazel, M. Fazel , M. Stojanovic, Random Access Compressed Sensing: An Integrated Architecture For Energy-efficient Networking . Proc. Asilomar Conf. on Signals, Systems, and Computers , Nov 2011. B. Hutchinson, M. Ostendorf, M. Fazel , Low Rank Language Models for Small Training Sets . IEEE Signal Processing Letters. 18(9), pages 489-492, Sep 2011. F. Fazel, M. Fazel , M. Stojanovic, Random Access Compressed Sensing in Energy-Efficient Underwater Sensor Networks . Journal on Selected Areas in Communications (JSAC), 29(9), Sep 2011. S. Oymak, K. Mohan, M. Fazel , B. Hassibi, A Simplified Approach to Recovery Conditions for Low-rank Matrices . Proc. Intl. Sympo. Information Theory (ISIT) , Aug 2011. R. Arora, A. Kapila , M. Gupta, M. Fazel , Clustering by Left-Stochastic Decomposition . Proc. of International Conference on Machine Learning (ICML) , July 2011. F. Fazel, M. Fazel , M. Stojanovic, Design of a Random Access Network for Compressed Sensing . Proc. Information Theory and Applications Workshop (ITA) , Feb 2011. F. Fazel, M. Fazel , M. Stojanovic, Random Access Compressed Sensing in Underwater Acoustic Networks. Proc. Allerton Conference on Communications, Control, and Computing , Sep 2010. K. Mohan, M. Fazel , Iterative Reweighted Least Squares for Matrix Rank Minimization , Proc. Allerton Conference on Communications, Control, and Computing , Sep 2010. B. Recht, M. Fazel , P. Parrilo, Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization . SIAM Review , Vol 52, no 3, pages 471-501, 2010. Arxiv link. K. Mohan, M. Fazel , New Restricted Isometry Results for Noisy Low-rank Matrix Recovery, Proc. Intl. Symp. Info. Thoery (ISIT) , Austin, TX, June 2010. K. Mohan, M. Fazel , Reweighted Nuclear Norm Minimization with Application to System Identification, Proc. American Control Conference (ACC) , 2010. D. Georgiev, M. Fazel , E. Klavins, Model Discrimination of Chemical Reaction Networks by Linearization, Proc. American Control Conference (ACC) , 2010. K. Dvijotham, M. Fazel , A Nullspace Analysis of the Nuclear Norm Heuristic for Rank Minimization , Proc. of ICASSP 2010 , Dallas, Texas, March 2010. M. Fazel , E. J. Candes, B. Recht, P. Parrilo, Compressed Sensing and Robust Recovery of Low Rank Matrices , Proc. of Asilomar Conference , Pacific Grove, CA, Nov 2008. N. Yamamoto, M. Fazel , Computational Approach to Quantum Encoder Design for Purity Optimization. Physical Review A , vol. 76, no. 1, July 2007. Available at http://link.aps.org/abstract/PRA/v76/e012327 B. Recht, M. Fazel , P. Parrilo, Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization . Allerton Conference , Allerton House, Illinois, Sep 2007. M. Lobo, M. Fazel , and S. Boyd, Portfolio Optimization with Linear and Fixed Transaction Costs . Annals of Operations Research , special issue on Financial Optimization, 152(1):376-394, July 2007. D. Gayme, M. Fazel , J. Doyle, Complexity in Automation of SOS Proofs: An Illustrative Example . Proc. Conference on Decision and Control , San Diego, California, Dec 2006. M. Fazel , D. Gayme, M. Chiang, Transient Analysis for Wireless Power Control . Proc. Globecom Conference , San Francisco, California, Nov 2006. H. El-Samad, M. Fazel , X. Liu, A. Papachristodoulou, S. Prajna, Stochastic Reachability Analysis in Complex Biological Networks . Proc. American Control Conference , Minneapolis, Minnesota, June 2006. A. Fakheri, M. Fazel , A Methodology for Optimization of Shell and Tube Heat Exchangers in Series . International Journal of Heat Exchangers , volume VII, number 1, June 2006. M. Fazel , M. Chiang, Network Utility Maximization with Nonconcave Utilities Using Sum-of-Squares Method . Proc. Conference on Decision and Control , Seville, Spain, Dec 2005. T.-M. Yi, M. Fazel , X. Liu, T. Otitoju, A. Papachristodoulou, S. Prajna, and J. Doyle, Application of Robust Model Validation Using SOSTOOLS to the Study of G-Protein Signaling in Yeast . In Proc. Foundations of Systems Biology and Engineering , Santa Barbara, California, August 2005. M. Sharif, C. Florens, M. Fazel , B. Hassibi, Amplitude and Sign Adjustment for Peak to Average Power Reduction . IEEE trans. on Communications , volume 53, number 8, pp. 1243--1247, August 2005. M. Fazel , H. Hindi, and S. Boyd, Rank Minimization and Applications in System Theory . Proc. American Control Conference , Boston, Massachusetts, June 2004. M. Sharif, C. Florens, M. Fazel , B. Hassibi, Peak to Average Power Reduction Using Amplitude and Sign Adjustment . Proc. International Conference on Communications , Paris, France, June 2004. M. Fazel , H. Hindi, and S. Boyd, Log-det Heuristic for Matrix Rank Minimization with Applications to Hankel and Euclidean Distance Matrices . Proc. American Control Conference , Denver, Colorado, June 2003. M. Fazel , H. Hindi, and S. Boyd, A Rank Minimization Heuristic with Application to Minimum Order System Approximation . Proc. American Control Conference , Arlington, Virginia, June 2001. Teaching 2018-2019: AA/EE/ME 510: Mathematical Foundations of Systems Theory Fall 2018 Course page on Canvas 2017-2018: AA/CSE/EE/ME 578: Convex Optimization Winter 2018 Course page on Canvas EE PMP 578: Convex Optimization Spring 2018 2017: On sabbatical leave 2015-2016: EE PMP 578: Convex Optimization (Optimization in System Sciences) Fall 2015 Course Webpage EE/AA/ME 578: Convex Optimization Winter 2016 Course Webpage EE 546 (special topics): Convex Optimization Algorithms Spring 2016 Course webpage 2014-2015: EE/AA/ME 578: Optimization in System Sciences Winter 2015 Course Webpage EE235: Continuous-time Linear Systems (Signals and Systems) Spring 2015 2013-2014: EE235: Continuous-time Linear Systems (Signals and Systems) Fall 2013 Course webpage EE/AA/ME 578: Optimization in System Sciences Winter 2014 EE 546: Frontiers in Optimization: Convex Optimization Algorithms Spring 2014 Course webpage Education Ph.D. Electrical Engineering, Stanford University, CA, March 2002 M.S. Electrical Engineering, Stanford University, CA, June 1997 B.Sc. Electrical Engineering, Sharif University of Technology, Tehran, Iran, 1995 Ph.D. Thesis Matrix Rank Minimization with Applications. Elec. Eng. Dept, Stanford University, March 2002. Thesis: ( ps file ), ( pdf file ), ( gzipped ps file ) *** Page under construction! *** diff --git a/src/data/compiled_bios/1470.txt b/src/data/compiled_bios/1470.txt new file mode 100644 index 0000000000..ab66b3bfc2 --- /dev/null +++ b/src/data/compiled_bios/1470.txt @@ -0,0 +1 @@ + Rabih Younes Assistant Professor of the Practice in the Department of Electrical and Computer Engineering Rabih Younes received his PhD in Computer Engineering from Virginia Tech in 2018 after receiving his BE and MSE in Computer Engineering from the Lebanese American University in 2011 and 2013, respectively. Rabih speaks nine languages (fluent in three) and holds a number of certificates in education, networking, IT, and skydiving. He is also a member of several honor societies, including Tau Beta Pi, Eta Kappa Nu, Phi Kappa Phi, and Golden Key. Rabih has a passion for both teaching and research; he has been teaching since he was a teenager, and his research interests include wearable computing, activity recognition, context awareness, machine learning, engineering education, and Middle Eastern politics. As a professor, Rabih is committed to helping his students achieve their goals and providing them with opportunities to realize that. He also focuses on their personal development and on improving their abilities to be critical thinkers, better communicators, and active members of their community and the world. More information can be found on his personal website: www.rabihyounes.com . Appointments and Affiliations Assistant Professor of the Practice in the Department of Electrical and Computer Engineering Faculty Network Member of the Duke Institute for Brain Sciences Contact Information Office Location: 204 Hudson Hall, Durham, NC 27708 Office Phone: (919) 660-5051 Email Address: rabih.younes@duke.edu Websites: LinkedIn profile Personal website Education Ph.D. Virginia Polytech Institute and State University, 2018 M.S. Lebanese American University (Lebanon), 2013 Research Interests Wearable computing,activity recognition, context awareness, machine learning, engineering education, and Middle Eastern politics Courses Taught COMPSCI 350L: Digital Systems ECE 350L: Digital Systems ECE 494: Projects in Electrical and Computer Engineering ECE 590: Advanced Topics in Electrical and Computer Engineering ECE 650: Systems Programming and Engineering In the News Rabih Younes: Integrating Machine Learning with Motion-Capturing Wearable Devices (Sep 17, 2018 | Pratt School of Engineering) Representative Publications Younes, R; Jones, M; Martin, TL, Classifier for Activities with Variations. , Sensors (Basel, Switzerland), vol 18 no. 10 (2018) [ 10.3390/s18103529 ] [ abs ]. Younes, R; Jones, M; Martin, TL, Toward Practical Activity Recognition: Recognizing Complex Activities with Wide Variations , 2018 Ieee International Conference on Pervasive Computing and Communications Workshops (Percom Workshops) (2018) [ 10.1109/percomw.2018.8480368 ] [ abs ]. Younes, R; Groen, C; Gewirtz, C; Taiwo, A; Cranwell, L, Creative Ways of Knowing and the Future of Engineering Education (2016), pp. 219-232 [ 10.1007/978-3-319-49352-7_9 ] [ abs ]. Younes, R; Hines, K; Forsyth, J; Dennis, J; Martin, T; Jones, M, The design of smart garments for motion capture and activity classification (2016), pp. 627-655 [ 10.1016/b978-0-08-100574-3.00027-8 ] [ abs ]. Blake, M; Younes, R; Dennis, J; Martin, TL; Jones, M, A User-Independent and Sensor-Tolerant Wearable Activity Classifier , Computer, vol 48 no. 10 (2015), pp. 64-71 [ 10.1109/mc.2015.296 ] [ abs ]. : diff --git a/src/data/compiled_bios/1471.txt b/src/data/compiled_bios/1471.txt new file mode 100644 index 0000000000..c89659aa87 --- /dev/null +++ b/src/data/compiled_bios/1471.txt @@ -0,0 +1 @@ + Alberto Bartesaghi Associate Professor of Computer Science Appointments and Affiliations Associate Professor of Computer Science Associate Professor in the Department of Electrical and Computer Engineering Faculty Network Member of the Duke Institute for Brain Sciences Contact Information Office Location: 308 Research Drive, LSRC D338, Durham, NC 27708-0129 Office Phone: (919) 660-6579 Email Address: alberto.bartesaghi@duke.edu Websites: cryoem.cs.duke.edu Education D.Phil. University of Minnesota, Twin Cities, 2005 Research Interests Single-particle cryo-electron microscopy, cryo-electron tomography, sub-volume averaging, image processing, computer vision Courses Taught COMPSCI 391: Independent Study Representative Publications Kang, Y; Kuybeda, O; de Waal, PW; Mukherjee, S; Van Eps, N; Dutka, P; Zhou, XE; Bartesaghi, A; Erramilli, S; Morizumi, T; Gu, X; Yin, Y; Liu, P; Jiang, Y; Meng, X; Zhao, G; Melcher, K; Ernst, OP; Kossiakoff, AA; Subramaniam, S; Xu, HE, Cryo-EM structure of human rhodopsin bound to an inhibitory G protein. , Nature, vol 558 no. 7711 (2018), pp. 553-558 [ 10.1038/s41586-018-0215-y ] [ abs ]. Bartesaghi, A; Aguerrebere, C; Falconieri, V; Banerjee, S; Earl, LA; Zhu, X; Grigorieff, N; Milne, JLS; Sapiro, G; Wu, X; Subramaniam, S, Atomic Resolution Cryo-EM Structure of -Galactosidase. , Structure (London, England : 1993), vol 26 no. 6 (2018), pp. 848-856.e3 [ 10.1016/j.str.2018.04.004 ] [ abs ]. Guo, TW; Bartesaghi, A; Yang, H; Falconieri, V; Rao, P; Merk, A; Eng, ET; Raczkowski, AM; Fox, T; Earl, LA; Patel, DJ; Subramaniam, S, Cryo-EM Structures Reveal Mechanism and Inhibition of DNA Targeting by a CRISPR-Cas Surveillance Complex. , Cell, vol 171 no. 2 (2017), pp. 414-426.e12 [ 10.1016/j.cell.2017.09.006 ] [ abs ]. Aguerrebere, C; Delbracio, M; Bartesaghi, A; Sapiro, G, Fundamental Limits in Multi-Image Alignment , Ieee Transactions on Signal Processing, vol 64 no. 21 (2016), pp. 5707-5722 [ 10.1109/tsp.2016.2600517 ] [ abs ]. Merk, A; Bartesaghi, A; Banerjee, S; Falconieri, V; Rao, P; Davis, MI; Pragani, R; Boxer, MB; Earl, LA; Milne, JLS; Subramaniam, S, Breaking Cryo-EM Resolution Barriers to Facilitate Drug Discovery. , Cell, vol 165 no. 7 (2016), pp. 1698-1707 [ 10.1016/j.cell.2016.05.040 ] [ abs ]. : diff --git a/src/data/compiled_bios/1472.txt b/src/data/compiled_bios/1472.txt new file mode 100644 index 0000000000..19d1481110 --- /dev/null +++ b/src/data/compiled_bios/1472.txt @@ -0,0 +1 @@ + Jeffrey Beck Assistant Professor of Neurobiology We study neural coding and computation from a theoretical perspective with particular emphasis on probabilistic reasoning and decision making under uncertainty, complex behavioral modeling, computational models of cortical circuits and circuit function, dynamics of spiking neural networks, and statistical analysis of neural and behavioral data. Previous work has been largely concerned with sensory-motor transformations and neural representations of complex stimuli such as odors. More recently, we have been focusing on developing non-linear latent state space models of neural networks as standard linear models are incapable of generating even very simple behaviors. Appointments and Affiliations Assistant Professor of Neurobiology Faculty Network Member of the Duke Institute for Brain Sciences Contact Information Office Location: Bryan Research Building, 311 Research Drive Room 301H, Durham, NC 27710 Office Phone: (919) 684-4742 Email Address: jeff.beck@duke.edu Education Ph.D. Northwestern University, 2003 Research Interests Neural coding and computation; non-linear latent state space models of neural networks Courses Taught BME 494: Projects in Biomedical Engineering (GE) NEUROBIO 720D: Circuits and Computation Representative Publications Tao, L; Ozarkar, S; Beck, JM; Bhandawat, V, Statistical structure of locomotion and its modulation by odors. , Elife, vol 8 (2019) [ 10.7554/elife.41235 ] [ abs ]. Darlington, TR; Beck, JM; Lisberger, SG, Neural implementation of Bayesian inference in a sensorimotor behavior. , Nature Neuroscience, vol 21 no. 10 (2018), pp. 1442-1451 [ 10.1038/s41593-018-0233-y ] [ abs ]. Oh-Descher, H; Beck, JM; Ferrari, S; Sommer, MA; Egner, T, Probabilistic inference under time pressure leads to a cortical-to-subcortical shift in decision evidence integration. , Neuroimage, vol 162 (2017), pp. 138-150 [ 10.1016/j.neuroimage.2017.08.069 ] [ abs ]. O'Hare, JK; Li, H; Kim, N; Gaidis, E; Ade, K; Beck, J; Yin, H; Calakos, N, Striatal fast-spiking interneurons selectively modulate circuit output and are required for habitual behavior. , Elife, vol 6 (2017) [ 10.7554/eLife.26231 ] [ abs ]. Chen, X; Beck, JM; Pearson, JM, Neuron's eye view: Inferring features of complex stimuli from neural responses. , Plos Computational Biology, vol 13 no. 8 (2017) [ 10.1371/journal.pcbi.1005645 ] [ abs ]. : diff --git a/src/data/compiled_bios/1473.txt b/src/data/compiled_bios/1473.txt new file mode 100644 index 0000000000..a80607ab44 --- /dev/null +++ b/src/data/compiled_bios/1473.txt @@ -0,0 +1 @@ + Bruce Randall Donald James B. Duke Professor of Computer Science Please visit Bruce Donald's personal web page for up-to-date information, research, teaching, and publications. That website is hosted by the Departments of Computer Science, Chemistry, and Biochemistry at Duke University. Appointments and Affiliations James B. Duke Professor of Computer Science Professor of Computer Science Professor of Biochemistry Professor in the Department of Electrical and Computer Engineering Professor of Chemistry Faculty Network Member of the Duke Institute for Brain Sciences Bass Fellow Contact Information Office Location: LSRC D212, Durham, NC 27708 Office Phone: (919) 660-6583 Websites: http://www.cs.duke.edu/brd/ : diff --git a/src/data/compiled_bios/1474.txt b/src/data/compiled_bios/1474.txt new file mode 100644 index 0000000000..0a6b572b1b --- /dev/null +++ b/src/data/compiled_bios/1474.txt @@ -0,0 +1 @@ + Alvin R. Lebeck Professor of Computer Science Computer Systems Engineering with a focus on computer architecture, nano-scale systems, memory system, energy efficient computing, and multiprocessors. Appointments and Affiliations Professor of Computer Science Professor in the Department of Electrical and Computer Engineering Contact Information Office Location: D308 Lev Sci Res Ctr, Durham, NC 27708 Office Phone: (919) 660-6551 Email Address: alvy@cs.duke.edu Websites: http://www.cs.duke.edu/~alvy Education Ph.D. University of Wisconsin at Madison, 1995 M.S. University of Wisconsin at Madison, 1991 B.S. University of Wisconsin at Madison, 1989 Research Interests Computer Systems Engineering with a focus on computer architecture, software systems, specialized architectures, probabilistic computing, memory system, energy efficient computing, and multiprocessors Courses Taught COMPSCI 310: Introduction to Operating Systems COMPSCI 590: Advanced Topics in Computer Science ECE 353: Introduction to Operating Systems ECE 552: Advanced Computer Architecture I ECE 590: Advanced Topics in Electrical and Computer Engineering Representative Publications Bashizade, R; Li, Y; Lebeck, AR, Adaptive simultaneous multi-tenancy for GPUs , Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol 11332 LNCS (2019), pp. 83-106 [ 10.1007/978-3-030-10632-4_5 ] [ abs ]. Zhang, X; Bashizade, R; LaBoda, C; Dwyer, C; Lebeck, AR, Architecting a stochastic computing unit with molecular optical devices , Proceedings International Symposium on Computer Architecture (2018), pp. 301-314 [ 10.1109/ISCA.2018.00034 ] [ abs ]. Razeen, A; Meijer, A; Lebeck, AR; Pistol, V; Liu, DH; Cox, LP, SandTrap: Tracking information flows on demand with parallel permissions , Mobisys 2018 Proceedings of the 16th Acm International Conference on Mobile Systems, Applications, and Services (2018), pp. 230-242 [ 10.1145/3210240.3210321 ] [ abs ]. LaBoda, CD; Lebeck, AR; Dwyer, CL, An Optically Modulated Self-Assembled Resonance Energy Transfer Pass Gate. , Nano Letters, vol 17 no. 6 (2017), pp. 3775-3781 [ 10.1021/acs.nanolett.7b01112 ] [ abs ]. Misra, PA; Chase, JS; Gehrke, J; Lebeck, AR, Enabling Lightweight Transactions with Precision Time , Operating Systems Review (Acm), vol 51 no. 2 (2017), pp. 779-794 [ 10.1145/3093315.3037722 ] [ abs ]. : diff --git a/src/data/compiled_bios/1475.txt b/src/data/compiled_bios/1475.txt new file mode 100644 index 0000000000..66d841e336 --- /dev/null +++ b/src/data/compiled_bios/1475.txt @@ -0,0 +1 @@ + Bruce Maggs Pelham Wilder Professor of Computer Science Appointments and Affiliations Pelham Wilder Professor of Computer Science Professor of Computer Science Professor in the Department of Electrical and Computer Engineering Faculty Network Member of The Energy Initiative Associate of the Duke Initiative for Science & Society Core Faculty in Innovation & Entrepreneurship Contact Information Office Location: LSRC D312, Durham, NC 27708 Office Phone: (919) 660-6523 Email Address: bmm@cs.duke.edu Websites: http://www.cs.cmu.edu/~bmm/ Education Ph.D. Massachusetts Institute of Technology, 1989 Courses Taught COMPSCI 290: Topics in Computer Science COMPSCI 310: Introduction to Operating Systems COMPSCI 391: Independent Study COMPSCI 590: Advanced Topics in Computer Science ECE 353: Introduction to Operating Systems In the News Bruce Maggs Elected Fellow of Association for Computing Machinery (Dec 5, 2018) Representative Publications Bhattacherjee, D; Aqeel, W; Bozkurt, IN; Aguirre, A; Chandrasekaran, B; Godfrey, PB; Laughlin, G; Maggs, B; Singla, A, Gearing up for the 21st century space race , Hotnets 2018 Proceedings of the 2018 Acm Workshop on Hot Topics in Networks (2018), pp. 113-119 [ 10.1145/3286062.3286079 ] [ abs ]. Chung, T; Choffnes, D; Mislove, A; Lok, J; Levin, D; Rula, J; Wilson, C; Chandrasekaran, B; Maggs, BM; Sullivan, N, Is the web ready for OCSP must-staple? , Proceedings of the Acm Sigcomm Internet Measurement Conference, Imc (2018), pp. 105-118 [ 10.1145/3278532.3278543 ] [ abs ]. Haney, S; Maggs, B; Maiti, B; Panigrahi, D; Rajaraman, R; Sundaram, R, Symmetric interdiction for matching problems , Leibniz International Proceedings in Informatics, Lipics, vol 81 (2017) [ 10.4230/LIPIcs.APPROX/RANDOM.2017.9 ] [ abs ]. Larisch, J; Choffnes, D; Levin, D; Maggs, BM; Mislove, A; Wilson, C, CRLite: A Scalable System for Pushing All TLS Revocations to All Browsers , Proceedings Ieee Symposium on Security and Privacy (2017), pp. 539-556 [ 10.1109/SP.2017.17 ] [ abs ]. Bozkurt, IN; Aguirre, A; Chandrasekaran, B; Godfrey, PB; Laughlin, G; Maggs, B; Singla, A, Why is the internet so slow?! , Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol 10176 LNCS (2017), pp. 173-187 [ 10.1007/978-3-319-54328-4_13 ] [ abs ]. : diff --git a/src/data/compiled_bios/1476.txt b/src/data/compiled_bios/1476.txt new file mode 100644 index 0000000000..9e7e1544e9 --- /dev/null +++ b/src/data/compiled_bios/1476.txt @@ -0,0 +1 @@ + John H. Reif A. Hollis Edens Professor of Computer Science in Trinity College of Arts and Sciences Molecular assembly, DNA computing, robot motion planning, parallel algorithms, randomized algorithms, graph algorithms, algebraic computation, data compression, optical computation, andquantum computation. Appointments and Affiliations A. Hollis Edens Professor of Computer Science in Trinity College of Arts and Sciences Professor of Computer Science Professor in the Department of Electrical and Computer Engineering Contact Information Office Location: 3112 Devon Rd, Durham, NC 27707 Office Phone: (919) 407-1961 Email Address: reif@cs.duke.edu Websites: http://www.cs.duke.edu/~reif/ Education Ph.D. Harvard University , 1977 M.S. Harvard University , 1975 B.S. Tufts University, 1973 Research Interests Molecular assembly, DNA computing, robot motion planning, parallel algorithms, randomized algorithms, graph algorithms, algebraic computation, data compression, optical computation, and quantum computation. Awards, Honors, and Distinctions Tufts Notable. Tufts University. 2010 AAAS Fellow. American Association for the Advancement of Science. 2003 Fellow. Association for the Advancement of Science (AAAS), . 2003 Highly Cited Researcher. Thomson Reuters. 2001 Fellow. Association for Computing Machinery. 1997 Fellows. Institute for Electrical and Electronics Engineers. 1993 Courses Taught COMPSCI 531: Introduction to Algorithms COMPSCI 531D: Introduction to Algorithms COMPSCI 534: Computational Complexity COMPSCI 590: Advanced Topics in Computer Science ECE 891: Internship In the News Analog DNA Circuit Does Math in a Test Tube (Aug 23, 2016) Carolyn McAllaster, Susan S. Reif: Funding fails to keep pace with South's HIV epidemic (Dec 1, 2015 | The News & Observer) Representative Publications Garg, S; Shah, S; Bui, H; Song, T; Mokhtar, R; Reif, J, Renewable Time-Responsive DNA Circuits. , Small (Weinheim an Der Bergstrasse, Germany) (2018) [ 10.1002/smll.201801470 ] [ abs ]. Bui, H; Shah, S; Mokhtar, R; Song, T; Garg, S; Reif, J, Localized DNA Hybridization Chain Reactions on DNA Origami. , Acs Nano, vol 12 no. 2 (2018), pp. 1146-1155 [ 10.1021/acsnano.7b06699 ] [ abs ]. Shah, S; Reif, J, Temporal DNA barcodes: A time-based approach for single-molecule imaging , Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol 11145 LNCS (2018), pp. 71-86 [ 10.1007/978-3-030-00030-1_5 ] [ abs ]. Song, T; Garg, S; Mokhtar, R; Bui, H; Reif, J, Design and Analysis of Compact DNA Strand Displacement Circuits for Analog Computation Using Autocatalytic Amplifiers. , Acs Synthetic Biology, vol 7 no. 1 (2018), pp. 46-53 [ 10.1021/acssynbio.6b00390 ] [ abs ]. Fu, D; Shah, S; Song, T; Reif, J, DNA-Based Analog Computing. , Methods in Molecular Biology (Clifton, N.J.), vol 1772 (2018), pp. 411-417 [ 10.1007/978-1-4939-7795-6_23 ] [ abs ]. : diff --git a/src/data/compiled_bios/1477.txt b/src/data/compiled_bios/1477.txt new file mode 100644 index 0000000000..724edfe82c --- /dev/null +++ b/src/data/compiled_bios/1477.txt @@ -0,0 +1 @@ + Adel F Fahmy Adjunct Assistant Professor in the Department of Electrical and Computer Engineering Appointments and Affiliations Adjunct Assistant Professor in the Department of Electrical and Computer Engineering Contact Information Email Address: adel.fahmy@duke.edu Education M.S.E.E. North Carolina State University, 1983 Courses Taught ECE 651: Software Engineering : diff --git a/src/data/compiled_bios/1478.txt b/src/data/compiled_bios/1478.txt new file mode 100644 index 0000000000..fa23eb4799 --- /dev/null +++ b/src/data/compiled_bios/1478.txt @@ -0,0 +1 @@ + John Charles Goss Adjunct Assistant Professor in the Department of Electrical and Computer Engineering Appointments and Affiliations Adjunct Assistant Professor in the Department of Electrical and Computer Engineering Contact Information Email Address: john.goss@duke.edu Education M.S. North Carolina State University, 1997 Courses Taught ECE 590: Advanced Topics in Electrical and Computer Engineering : diff --git a/src/data/compiled_bios/1479.txt b/src/data/compiled_bios/1479.txt new file mode 100644 index 0000000000..45ef1a0aeb --- /dev/null +++ b/src/data/compiled_bios/1479.txt @@ -0,0 +1 @@ + Derek Robert Hower Adjunct Assistant Professor in the Department of Electrical and Computer Engineering Appointments and Affiliations Adjunct Assistant Professor in the Department of Electrical and Computer Engineering Contact Information Office Location: 042 Bryan Ctr, Durham, NC 27708 Office Phone: (919) 660-6517 Email Address: derek.hower@duke.edu Education Ph.D. University of Wisconsin at Madison, 2012 Courses Taught ECE 590: Advanced Topics in Electrical and Computer Engineering : diff --git a/src/data/compiled_bios/148.txt b/src/data/compiled_bios/148.txt new file mode 100644 index 0000000000..8276e63d9a --- /dev/null +++ b/src/data/compiled_bios/148.txt @@ -0,0 +1 @@ +Search this site Kai-Mei Fu group - UW Menu Home News People Publications Outreach Wiki Kai-Mei Fu group - UW Home News People Publications Outreach Wiki More Home News People Publications Outreach Wiki Optical Spintronics and Sensing Lab Research In the Optical Spintronics and Sensing Lab we study defects in crystals. Defects have historically played an essential role in classical electronic/optical devices. Now new nanoscale devices are being developed based on the quantum properties of defects. We are occupied with the following questions: What are the fundamental properties of a known defect state? Alternatively, by measuring the properties of an unknown state, can we identify it? How can the quantum properties of a defect be engineered and controlled? What new technologies can quantum properties of defects enable? What new capabilities can be realized through solid-state device integration of defects? Fundamental Properties of defects in semiconductor Integrated Photonics Sensing Undergraduate Research There are often open graduate and undergraduate research positions in the group. Interested students should contact Kai-Mei directly. Unfortunately, the group does not fund international undergraduate students seeking summer research experiences. Self-funded students are welcome to contact Kai-Mei . Current funding for these projects is provided by NSF-QIS , MURI-ARO , and NSF-MRSEC . Past funding was provided by NSF-QIS/PHY . Made with the new GoogleSites , an effortless way to create beautifulsites. Create a site Report abuse diff --git a/src/data/compiled_bios/1480.txt b/src/data/compiled_bios/1480.txt new file mode 100644 index 0000000000..5fb6d15541 --- /dev/null +++ b/src/data/compiled_bios/1480.txt @@ -0,0 +1 @@ + Brian M Rogers Adjunct Assistant Professor in the Department of Electrical and Computer Engineering Appointments and Affiliations Adjunct Assistant Professor in the Department of Electrical and Computer Engineering Contact Information Email Address: brian.m.rogers@duke.edu Education Ph.D. North Carolina State University, 2009 Courses Taught ECE 565: Performance Optimization & Parallelism ECE 568: Engineering Robust Server Software ECE 590: Advanced Topics in Electrical and Computer Engineering ECE 650: Systems Programming and Engineering : diff --git a/src/data/compiled_bios/1481.txt b/src/data/compiled_bios/1481.txt new file mode 100644 index 0000000000..abf6cc2255 --- /dev/null +++ b/src/data/compiled_bios/1481.txt @@ -0,0 +1 @@ + Patrick Wang Adjunct Assistant Professor in the Department of Electrical and Computer Engineering Appointments and Affiliations Adjunct Assistant Professor in the Department of Electrical and Computer Engineering Contact Information Office Location: Box 90291, Durham, NC 27708 Email Address: patrick.wang@duke.edu Education Ph.D. Duke University, 2016 Courses Taught ECE 488: Digital Image and Multidimensional Processing ECE 590: Advanced Topics in Electrical and Computer Engineering ECE 681: Pattern Classification and Recognition Technology Representative Publications Wang, P, Viewpoint Adaptation for Person Detection (2016) [ 10.7924/g87p8w96 ] [ abs ]. Wang, P; Torrione, P; Collins, L; Morton, K, Rapid tracking for autonomous driving with monocular video , 2013 International Conference on Connected Vehicles and Expo, Iccve 2013 Proceedings (2013), pp. 133-138 [ 10.1109/ICCVE.2013.6799782 ] [ abs ]. Wang, PK; Torrione, PA; Collins, LM; Morton, KD, Rapid position estimation and tracking for autonomous driving , Smart Structures and Materials 2005: Active Materials: Behavior and Mechanics, vol 8387 (2012) [ 10.1117/12.919317 ] [ abs ]. Wang, PK; Morton, Jr., KD; Collins, LM; Torrione, PA, Exploiting spectral content for image segmentation in GPR data , Detection and Sensing of Mines, Explosive Objects, and Obscured Targets Xvi (2011) [ 10.1117/12.884874 ] [ abs ]. : diff --git a/src/data/compiled_bios/1482.txt b/src/data/compiled_bios/1482.txt new file mode 100644 index 0000000000..766a07146d --- /dev/null +++ b/src/data/compiled_bios/1482.txt @@ -0,0 +1 @@ + Mohamed Almekkawy Assistant Research Professor Affiliation(s): School of Electrical Engineering and Computer Science Computer Science and Engineering W105 Westgate Building mka9@psu.edu 814-863-5141 Personal or Departmental Website Research Areas: Interest Areas: Signal and image processing, Medical Imaging, optimization, numerical modeling, High Intensity Focused Ultrasound (HIFU) Education MS, Electrical Engineering, Cairo University, 2006 MS, Electrical Engineering, University of Minnesota (Minneapolis), 2010 Ph D, Electrical and Computer Engineering, University of Minnesota (Minneapolis), 2014 Publications Journal Articles Mohamed K. Almekkawy, 2015, "Anatomical-based model for simulation of HIFU-induced lesions in atherosclerotic plaques", International Journal of Hyperthermia, 31, (4) Mohamed K. Almekkawy, Yasaman Adibi, Fei Zheng, Mohan Chirala and Emad S. Ebbini, 2014, "Two-dimensional speckle tracking using zero phase crossing with Riesz transform", The Journal of the Acoustical Society of America, 136, (4), pp. 2280-2280 A. Singal, A. Hamel, M. Larson, H. Kelner, Mohamed K. Almekkawy, Mohamed K. Almekkawy and P. Eckman, 2014, "Peripheral Pulse Wave Analysis Technique to Detect Aortic Valve State in Continuous-flow LVADs", The Journal of Heart and Lung Transplantation, 33, (4), pp. S75 Ashish Singal, Mitsuhiro Oura, Mohamed K. Almekkawy, Aimee Hamel, Matt Larson and Peter Eckman, 2013, "Device Optimization Using Pulse Wave Analysis Techniques", Journal of Medical Devices, 7, (2), pp. 020903 Conference Proceedings A. Carevic, X. Yun, G. Lee, I. Slapnicar, Jesse L Barlow and Mohamed K. Almekkawy, 2018, "Reconstruction of ultrasound tomography for cancer detection using total least squares and conjugate gradient method" J. Cunningham, T. Subramanian and Mohamed K. Almekkawy, 2017, "Adaptive l 0-norm Sparse Third Order Volterra Filter for Transcranial Ultrasound Image Enhancement: In-Vivo Results" P. Kale, T. Gilmour, V. Acharya, J. Acharya, T. Subramanian and Mohamed K. Almekkawy, 2017, "Prediction of Multifocal Epileptogenic Zones using Normalized Transfer Entropy" A. Lee, Mohamed K. Almekkawy, P. Kale, T. Gilmour, T. Subramanian, M. Sather, V. Acharya and J. Acharya, 2017, "Can normalized transfer entropy be used as an informational transfer measure of ictal pathophysiology in patients undergoing stereo-EEG for epilepsy surgery", American Epilepsy Society Mohamed K. Almekkawy, Daniel McMahon, Hanan Alqarni and Jiayu He, 2017, "Optimization of Transcostal Phased-array Refocusing Using Sparse Semidefinite Relaxation Method", IEEE Engineering in Medicine and Biology Society Mohamed K. Almekkawy, James Cunningham, Yi Song, Hadeel Albahar and Thyagarajan Subramanian, 2017, "In-vivo transcranial ultrasound imaging of induced Substantia Nigra hyperechogenicity using adaptive sparse Third Order Volterra Filter", IEEE James Cunningham, Justice Lee, Thyagarajan Subramanian and Mohamed K. Almekkawy, 2017, "Transcranial enhanced Ultrasound Imaging of induced substantia nigra in brain using adaptive Third Order Volterra Filter: In-vivo results", IEEE Mohamed K. Almekkawy and Emad Ebbini, 2017, "Two-dimensional speckle tracking using parabolic polynomial expansion with Riesz transform", IEEE Mohamed K. Almekkawy, I. A. Shehata, A. Haritonova, J. Ballard, A. Casper and E. Ebbini, 2017, "Image-based numerical modeling of HIFU-induced lesions", 1816, (1) J. Cunningham, Y. Zheng, T. Subramanian and Mohamed K. Almekkawy, 2017, "Regularization Methods for Solving Third-Order Volterra Filter with Improved Convergence Speed: In-Vivo Application" A. Carevic, X. Yun, G. Lee, I. Slapnicar, Jesse L Barlow and Mohamed K. Almekkawy, 2017, "Solving the ultrasound inverse scattering problem of inhomogeneous media using different approaches of total least squares algorithms" Admir Horta, Eric Gernux, Matt Couceiro, Dieter Haemmerich and Mohamed K. Almekkawy, 2016, "Body temperature control circuit", IEEE Mohamed K. Almekkawy, Jingwei Xu and Mohan Chirala, 2014, "An optimized ultrasound digital beamformer with dynamic focusing implemented on FPGA", IEEE Mohamed K. Almekkawy, J. R. Ballard, D. Liu, A. J. Casper, Y. Wan and E. Ebbini, 2012, "Multiple-frequency phased array patterns for therapeutic ultrasound", 1481, (1), pp. 9-13 Mohamed K. Almekkawy, A. Casper, J. Ballard and E. Ebbini, 2012, "Nonlinear modeling of pulsed and CW HIFU beams for dual-mode ultrasound arrays", 1481, (1), pp. 3-8 J. R. Ballard, D. Liu, Mohamed K. Almekkawy, E. S. Ebbini, A. Casper and A. Haritonova, 2011, "Multiple-frequency phased array pattern synthesis for HIFU surgery" Mohamed K. Almekkawy, A. M. Mahmoud, A. Zavochikove and A. E. Salama, 2005, "Reliable design of the CAN bit synchronization block" Abstracts D. McMahon and Mohamed K. Almekkawy, 2017, "Optimization of Transcostal Phased-array Refocusing Using Iterative Sparse Semidefinite Relaxation Method" A. Lee, Mohamed K. Almekkawy, P. Kale, T. Gilmour, T. Subramanian, M. Sather, V. Acharya and J. Acharya, 2017, "Can Normalized Transfer Entropy Be Used as an Informational Transfer Measure of Ictal Pathophysiology in Patients Undergoing Stereo-EEG for Epilepsy Surgery?" Jesse L Barlow, A. Carevic, X. Yun and Mohamed K. Almekkawy, 2017, "Adaptive Truncated Total Least Squares for an Inverse Scattering Problem from Ultrasound Tomography" Mohamed K. Almekkawy, I. Shehata, A. Casper, J. Ballard, M. Troutman and E. Ebbini, 2012, "Modeling Thermal Lesion Formation in Atheromatous Plaque Tissue using high intensity focused ultrasound (HIFU): comparison within vivo results" Research Projects Honors and Awards Paper highlights on the cover of the International Journal of Hyperthermia., International Journal of Hyperthermia., 2015 Service Service to Penn State: Service to External Organizations: diff --git a/src/data/compiled_bios/1483.txt b/src/data/compiled_bios/1483.txt new file mode 100644 index 0000000000..cb8b286a60 --- /dev/null +++ b/src/data/compiled_bios/1483.txt @@ -0,0 +1 @@ + Jesse Barlow Professor Affiliation(s): School of Electrical Engineering and Computer Science Computer Science and Engineering 354 Westgate Building b58@psu.edu 814-863-1705 Personal or Departmental Website Research Areas: Interest Areas: Numerical linear algebra, scientific computing, linear algebra in signal and image processing. Education BA, Computer Science and Mathematics, University of Kansas, 1977 MS, Computer Science, Northwestern University, 1979 MS, Statistics, Northwestern University, 1980 Ph D, Computer Science, Northwestern University, 1981 Publications Book Reviews Jesse L Barlow, 2003, Numerical Computing with IEEE Floating Point Arithmetic by M. L. Overton Jesse L Barlow, 2002, Accuracy and Stability of Numerical Algorithms, by N. J. Higman Jesse L Barlow, 2001, Computing with IEEE Floating Point Arithmetic, by M. L. Overton, SIAM Publications, Philadelphia, PA Book, Chapters Jesse L Barlow, 1994, Lecture Notes on Parallel Solution of the Symmetric Eigenvalue Problem, Oxford Science Publications, Oxford, United Kingdom, pp. 3-53 Jesse L Barlow, 1993, Numerical Aspects of Solving Least Squares Problems, Elsevier, The Netherlands, pp. 303-376 Parts of Book Jesse L Barlow, 2003, Modification and Maintenance of ULV Decompositions, Kluwer Academic Publishers, pp. 31-62 Journal Articles Jesse L Barlow, Daniela Di Serifino, Gerado Toraldo and Marco Viola, 2018, "Two-Phase Gradient Method for Quadratic Programing Problems with a Single Linear Constraint and Bounds on the Variables", SIAM J. Optimization, 28, (3), pp. 28092838. Jesse L Barlow and Geunseop Lee, 2017, "Updating approximate principal components with applications to template tracking", Numerical Linear Algebra with Applications, 24, (2), pp. 12 N. Jakovcevic Stor, I. Slapnicar and Jesse L Barlow, 2015, "Forward stable eigenvalue decomposition of rank-one modifications of diagonal matrices", 408, pp. 301-315 N. Jakovcevic Stor, I. Slapnicar and Jesse L Barlow, 2015, "Accurate Eigenvalue Decomposition of Real Symmetric Arrowhead Matrices and Applications", Linear Algebra and Its Applications, 464, pp. 62-89 G. Lee and Jesse L Barlow, 2014, "Two Projection Methods for Total Least Squares Approximation.", 461 Jesse L Barlow, 2014, "Block Gram-Schmidt Downdating.", 43, pp. 163-187 Jesse L Barlow and A. Smoktunowicz, 2013, "Reorthogonalized Block Classical Gram-Schmidt", Numerische Mathematik, 123, (3), pp. 395-423 G. Lee, Jesse L Barlow and H. Fu, 2013, "Fast High-Resolution Image Reconstruction using Tikhanov Regularization Based Total Least Squares", SIAM Journal on Scientific Computing, 35, (1), pp. B275-B290 Jesse L Barlow, 2013, "Reorthogonalization for Golub-Kahan-Lanczos Bidiagonalization", Numerische Mathematik, 124, (2), pp. 237-238 S. Yan, S. Bouaziz, D. Lee and Jesse L Barlow, 2012, "Semi-Supervised Dimensionality Reduction for Analyzing High-Dimensional Data with Constraints", Neurocomputing, 76, (1), pp. 114-124 Jesse L Barlow, 2010, "Editorial, Third Special Issue on Matrix Computations and Statistics", Computational Statistics & Data Analysis, 54, (12), pp. 3379-3380 Jesse L Barlow and Hasan Erbay, 2009, "Modifiable low-rank approximation to a matrix", Numerical Lin. Alg. with Applic., 16, (10), pp. 833860 Nela Bosner and Jesse L Barlow, 2007, "Block and Parallel Versions of One-Sided Bidiagonalization", SIAM J. Matrix Analysis Applications, 29, (3), pp. 927953 Jesse L Barlow, Haesun Park, Patrick J. F. Groenen and Hongyuan Zha, 2006, "2nd Special issue on matrix computations and statistics", Computational Statistics & Data Analysis, 50, (1), pp. 14 Haoying Fu, Michael K. Ng, Mila Nikolova and Jesse L Barlow, 2006, "Efficient Minimization Methods of Mixed l2-l1 and l1-l1 Norms forImage Restoration", SIAM J. Scientific Computing, 27, (6), pp. 18811902 H. Fu, M. Ng, M. Nikolova and Jesse L Barlow, 2006, "Efficient Minimization of Mixed Norms for Image Restoration", SIAM Journal on Scientific Computing, 27, (6), pp. 1881-1902 H. Erbay and Jesse L Barlow, 2006, "An Alternative Algorithm for a Sliding Window ULV Decomposition", Computing, 76, (12), pp. 55-66 H. Fu, M. Ng and Jesse L Barlow, 2006, "Structural Total Least Squares for Color Image Restoration", SIAM Journal on Scientific Computing, 28, (3), pp. 1100-1119 A. Smoktunowicz, Jesse L Barlow and J. Langou, 2006, "A Note on the Error Analysis of Classical Gram-Schmidt", Numerische Mathematik, 105, (2), pp. 299-313 Jesse L Barlow, N. Bosner and Z. Drmac, 2005, "A New Stable Bidiagonal Reduction Algorithm", Linear Algebra and Its Applications, 397, (1), pp. 35-84 Jesse L Barlow, A. Smoktunowicz and H. Erbay, 2005, "Improved Gram-Schmidt Type Downdating Methods", BIT, 45, (2), pp. 259-285 Jesse L Barlow, Hasan Erbay and Ivan Slapnicar, 2005, "An Alternative Algorithm for the Refinement of ULV Decompositions", SIAM J. Matrix Analysis Applications, 27, (1), pp. 198211 H. Fu and Jesse L Barlow, 2004, "A Regularized Structured Total Least Squares Algorithm for High Resolution Image Reconstruction", Linear Algebra and Its Applications, 391, (1), pp. 75-98 Jesse L Barlow, B. N. Parlett and K. Veselic, 2003, "Preface", Linear Algebra and Its Applications, Second Special Issue on Accurate Solution of Eigenvalue Problems, 358, (1-3), pp. 1-3 Hasan Erbay, Jesse L Barlow and Zhenyue Zhang, 2002, "A modified Gram-Schmidt-based downdating technique for ULV decompositionswith applications to recursive TLS problems", Computational Statistics & Data Analysis, 41, (1), pp. 195209 Jesse L Barlow, 2002, "More Accurate Bidiagonal Reduction for Computing the Singular ValueDecomposition", SIAM J. Matrix Analysis Applications, 23, (3), pp. 761798 Jesse L Barlow, Michael W. Berry, Axel Ruhe and Hongyuan Zha, 2002, "Preface", Computational Statistics & Data Analysis, 41, (1), pp. 12 Jesse L Barlow, 2001, "Computing the Fundamental Matrix of Markov Chain", SIAM Journal on Matrix Analysis and Applications, 22, (1), pp. 230-241 Jesse L Barlow, B. Parlett and K. Veselic, 2000, "Preface", Linear Algebra and Its Applications-Special Issue of Accurate Solution of Eigenvalue Problems, 309, (1-3), pp. 1-2 Jesse L Barlow and I. Slapnicar, 2000, "Optimal Perturbation Bounds for the Hermitian Eigenvalue Problem", Linear Algebra and Its Applications-Special Issue of Accurate Solution of Eigenvalue Problems, 309, (1-3), pp. 19-43 Jesse L Barlow and Peter A Yoon, 1998, "An Ecient Rank Detection Procedure for Modifying the ULV Decomposition", 28, (4), pp. 781-801 Jesse L Barlow and Hongyuan Zha, 1998, "Growth in Gaussian Elimination, Orthogonal Matrices, and the Euclidean Norm", SIAM J. Matrix Analysis Applications, pp. 807-815 Jesse L Barlow, Peter A. Yoon and Hongyuan Zha, 1996, "An algorithm and a stability theory for downdating the ULV decomposition", BIT, 36, pp. 14-40 Jesse L Barlow and Szu-Min Lu, 1996, "Multifrontal Computation with the Orthogonal Factors of Sparse Matrices", SIAM J. Matrix Analysis Applications, 17, pp. 658-679 Jesse L Barlow and Peter A. Yoon, 1996, "Modifying the Singular Value Decomposition on the Connection Machine", International Journal of High Speed Computing, 8, (2), pp. 145170 Jesse L Barlow and Gerardo Toraldo, 1995, "The effect of diagonal scaling on projected gradient methods for bound constrained quadratic programming problems", Optimization Methods and Software, pp. 235-245 Jesse L Barlow and Susan L. Handy, 1994, "The Numerical Solution of Banded, Toeplitz Eigenvalue Problems,", SIAM J. Matrix Analysis Applications, 15, (1), pp. 205-214 Jesse L Barlow, 1993, "Perturbation results for nearly uncoupled Markov chains with applications to iterative methods", Numerische Mathematik, 65, (1), pp. 51-62 Jesse L Barlow, 1993, "Error Bounds and condition estimates for the computation of null vectors with applications to Markov chains", SIAM J. Matrix Analysis Applications, pp. 798-812 Jesse L Barlow, 1993, "Error analysis of update methods for the symmetric eigenvalue problem,", SIAM J. Matrix Analysis Applications, 14, (2), pp. 598-618 Jesse L Barlow and Udaya B. Vemulapati, 1992, "A note on deferred correction for equality constrained least squares problems", SIAM J. on Numerical Analysis Jesse L Barlow and Udaya B. Vemulapati, 1992, "`Rank detection methods for sparse matrices", SIAM J. Matrix Analysis Applications Jesse L Barlow, 1991, "Error Analysis of a Pairwise Summation Method for Computing the Sample Variance", Numerische Mathematik Jesse L Barlow, 1990, "On the Use of Structural Zeros in Orthogonal Factorization", SIAM Journal on Scientific Computing, 11, (3), pp. 600601 Jesse L Barlow and James W. Demmel, 1990, "Computing Accurate Eigensystems of Scaled Diagonally Dominant Matrices", SIAM J. on Numerical Analysis Jesse L Barlow and Udaya B. Vemulapati, 1990, "An Improved Method for One-Way Dissection with Singular Diagonal Blocks", SIAM J. Matrix Analysis Applications Jesse L Barlow and Susan L. Handy, 1988, "The Direct Solution of Weighted and Equal Constrained Least Squares Problems", SIAM Journal on Scientific and Statistical Computing Jesse L Barlow, Nancy K. Nichols and Robert J. Plemmons, 1988, "A Conjugate Gradient Method for the Solution of Equality Constrained Least Squares Problems", SIAM Journal on Scientific and Statistical Computing Jesse L Barlow, 1988, "Error Analysis and Implementation Aspects of Deferred Correction for Equality Constrained Least Squares Problems", SIAM J. on Numerical Analysis Richard J. Zaccone and Jesse L Barlow, 1987, "Eliminating the Normalization Problem in Digit On-Line Arithmetic", IEEE Transactions on Computers, 36, (1), pp. 3646 Jesse L Barlow, 1986, "On the Smallest Positive Singular Value of an Singular M-matrix with Applications to Ergodic Markov Chains", SIAM Journal on Algebraic and Discrete Methods Jesse L Barlow and Ilse C.F. Ipsen, 1986, "Parallel Scaled Givens Rotations for the Solution of Linear Least Squares Problems on a Systolic Array", SIAM Journal on Scientific and Statistical Computing Jesse L Barlow, 1986, "A Note on Monitoring the Stability of Triangular Decomposition of Sparse Matrices", SIAM Journal on Scientific and Statistical Computing Jesse L Barlow and Erwin H. Bareiss, 1985, "On roundoff error distributions in floating point and logarithmicarithmetic", Computing, 34, (4), pp. 325347 Jesse L Barlow and Erwin H. Bareiss, 1985, "Probabilistic error analysis of gaussian elimination in floating pointand logarithmic arithmetic", Computing, 34, (4), pp. 349364 Jesse L Barlow, 1985, "Stability Analysis of the G-algorithm and a Note on its Application to Sparse Least Squares Problems", BIT Jesse L Barlow and Erwin H Bareiss, 1980, "Roundoff Error Distribution in Fixed Point Multiplication", BIT Conference Proceedings Anita Cerevic, Jesse L Barlow and Mohamed K. Almekkawy, 2018, "Using filter factors for regularization in Ultrasound Tomography" X. Yun, Cerevic Anita, Geunseop Lee, Ivan Slapnicar, Jesse L Barlow, Mohamed K. Almekkawy and Jiayu He, 2018, "Solving the ultrasound inverse scattering problem of inhomogeneous media using different approaches of total least squares algorithms", Society of Photo-Optical Engineers, Bellingham, WA, USA Anita Cerevic, Xingzhao Yun, Geunseop Lee, Ivan Slapnicar, Ali Abdou, Jesse L Barlow and Mohamed K. Almekkawy, 2018, "Reconstruction of ultrasound tomography for cancer detection using total least squares and conjugate gradient method" Ichitaro Yamazaki, Stanimire Tomov, Jakub Kurzak, Jack Dongarra and Jesse L Barlow, 2015, "Mixed-precision Block Gram Schmidt Orthogonalization", ACM, New York, NY, USA, pp. 2:12:8 S. Yan, H. Wang, Jesse L Barlow and D. Lee, 2009, "Semi-Supervised Document Clustering by Approximate Structure Preserving Dimension Reduction", Proceedings of the SIAM Text Mining Workshop, in conjunction with SDM 2009 Xin Yang, Haoying Fu, Hongyuan Zha and Jesse L Barlow, 2006, "Semi-supervised nonlinear dimensionality reduction", pp. 10651072 Jesse L Barlow, Lia and Hongyuan Zha, 2005, "Efficient Block Noise Removal Based on Nonlinear Manifolds", pp. 549-556 H. Fu, M. Ng and Jesse L Barlow, 2005, "Structured Total Least Squares for Color Image Restoration", Proceedings of the Third IASC World Conference on Computational Statistics & Data Analysis , 2005, "10th IEEE International Conference on Computer Vision (ICCV 2005), 17-20 October 2005, Beijing, China", IEEE Computer Society , 2005, "Computational Science and Its Applications - ICCSA 2005, International Conference, Singapore, May 9-12, 2005, Proceedings, Part IV", Springer, 3483 Haoying Fu, Hongyuan Zha and Jesse L Barlow, 2005, "Efficient Block Noise Removal Based on Nonlinear Manifolds", pp. 549556 Haoying Fu, Michael K. Ng, Mila Nikolova, Jesse L Barlow and Wai-Ki Ching, 2005, "Fast Algorithms for l1 Norm/Mixed l1 and l2 Norms for Image Restoration", pp. 843851 Jesse L Barlow, A. Smoktunowicz and H. Erbay, 2001, "An Evaluation of Gram-Schmidt-type Downdating Techniques", 4474, (1), pp. 273-284 Jesse L Barlow and H. Erbay, 2000, "An Algorithm for Recursive ULV Decomposition with a New Refinement Procedure", Proceedings of the International Symposium on Optical Science and Technology, pp. 157-166 H. Erbay and Jesse L Barlow, 2000, "Recursive ULV Decomposition and an Alternative Refinement Algorithm", SPIE Proceedings of the Forty-Fifth Symposium, 4116, (1), pp. 157-166 Jesse L Barlow and Peter A. Yoon, 1997, "Solving Recursive TLS Problems using the rank{ revealing ULV decomposition", SIAM Publications, Philadelphia, PA, United States, pp. 117-126 Peter A. Yoon and Jesse L Barlow, 1995, "Modifying the Singular Value Decompositions on the Connection Machine", pp. 3338 Jesse L Barlow and Szu-Min Lu, 1993, "Parallel computation of orthogonal factors of sparse matrices,", SIAM Publications, Philadelphia, PA, United States, 1, pp. 486-490 Jesse L Barlow, 1990, "Solution of Sparse Weighted and Equality Constrained Least Squares Problems" Jesse L Barlow, 1990, "Solution of Sparse Weighted and Equality Constrained Least Squares Problems" Jesse L Barlow and Udaya B. Vemulapati, 1989, "Incremental Condition Estimator for Parallel Sparse Matrix Factorization", pp. 5759 Richard J. Zaccone and Jesse L Barlow, 1985, "Improved normalization results for digit on-line arithmetic", pp. 2027 Jesse L Barlow and Suchitra Gupta, 1985, "Numerical Methods and Matrix Splittings for Higher Order Two-Point Boundary Value Problems", Computers and Computing, Wiley, Paris, France, pp. 4 Jesse L Barlow, 1981, "On the Distribution of Accumulated Rounding Error in Floating Point Arithmetic", Fifth IEEE Symposium on Computer Arithmetic Abstracts Jesse L Barlow, 2015, "Block Gram-Schmidt Downdating", Electronic transactions on numerical analysis Research Projects Honors and Awards Service Service to Penn State: Member, Faculty Senate, August 2016 - September 2017 Committee Work, Member, Recruiting Committee, September 2016 - September 2017 Service to External Organizations: Service to Public and Private Organizations, Member, National League of Cities, Jesse Barlow, January 2017 - January 2018 diff --git a/src/data/compiled_bios/1484.txt b/src/data/compiled_bios/1484.txt new file mode 100644 index 0000000000..2ac6265023 --- /dev/null +++ b/src/data/compiled_bios/1484.txt @@ -0,0 +1 @@ + Lennart Bilen Instructor Affiliation(s): School of Electrical Engineering and Computer Science Computer Science and Engineering W109 Westgate Building lxb50@psu.edu 814-863-5121 Research Areas: diff --git a/src/data/compiled_bios/1485.txt b/src/data/compiled_bios/1485.txt new file mode 100644 index 0000000000..09e9aded59 --- /dev/null +++ b/src/data/compiled_bios/1485.txt @@ -0,0 +1 @@ + Antonio Blanca Pimentel Assistant Professor Affiliation(s): Computer Science and Engineering School of Electrical Engineering and Computer Science W349 Westgate Building azb1015@psu.edu 814-865-9505 Research Areas: diff --git a/src/data/compiled_bios/1486.txt b/src/data/compiled_bios/1486.txt new file mode 100644 index 0000000000..f59c08bee5 --- /dev/null +++ b/src/data/compiled_bios/1486.txt @@ -0,0 +1 @@ + Guohong Cao Distinguished Professor Affiliation(s): School of Electrical Engineering and Computer Science Computer Science and Engineering W326 Westgate Building gxc27@psu.edu 814-863-1241 Personal or Departmental Website Research Areas: Interest Areas: Mobile computing, wireless networks, distributed fault-tolerant computing. Education BS, Computer Science, Xi'an Jiatong University, 1990 MS, Computer and Information Science, Ohio State University, 1997 Ph D, Computer Science, Ohio State University, 1999 Publications Books Bo Zhao, Byung-Chul Tak and Guohong Cao, 2014, Mobile Web Browsing Using the Cloud, Springer , 2011, Encyclopedia of Cryptography and Security, 2nd Ed, Springer Book, Chapters Wei Gao, Wenjie Hu and Guohong Cao, 2014, Interest-Based Data Dissemination in Opportunistic Mobile Networks: Design, Implementation, and Evaluation, CRC Press, pp. 215237 Y. Zhang*, W. Gao*, Guohong Cao, T. F. La Porta, B. Krishnamachari and A. Iyengar, 2012, Social-Aware Data Diffusion in Delay Tolerant MANETs, Springer, pp. 457-481 Guohong Cao and Zhichao Zhu, 2011, Worms in Cellular Networks, pp. 13921393 W. Zhang, H. Zhu and Guohong Cao, 2005, Piconet and Scatternet Management in Bluetooth Networks, Nova Science Publishers, pp. Ch. 9 L. Yin, Y. Wu and Guohong Cao, 2005, Scheduling On-Demand Data Broadcasts, Kluwer Academic Publishers, pp. 549-564 Guohong Cao, 2004, Power-Aware Cache Management in Mobile Environments, CRC Press Parts of Book H. Zhu and Guohong Cao, 2007, Enhancing Quality of Service for Wireless Ad Hoc Networks, Auerbach Publications, pp. 325-340 W. Zhang and Guohong Cao, 2006, Flexible Scatternet-Wide Scheduling in Bluetooth Networks, Nova Science Publishers, Inc., pp. 145-166 Guohong Cao, G. Wang, T. F. La Porta and W. Zhang, 2005, Distributed Algorithms for Deploying Mobile Sensors, CRC Press, pp. 427-440 Guohong Cao, Y. Wu and B. Li, 2001, A Mixed Data Dissemination Strategy for Mobile Computing Systems, pp. 408-416 Journal Articles Yi Yang and Guohong Cao, 2018, "Prefetch-Based Energy Optimization on Smartphones", IEEE Transactions on Wireless Communications, 17, (1), pp. 693-706 Yeli Geng and Guohong Cao, 2018, "Peer-Assisted Computation Offloading in Wireless Networks", IEEE Transactions on Wireless Communications, 17, (7) Z. Lu, Guohong Cao and T. La Porta, 2017, "TeamPhone: Networking Smartphones for Disaster Recovery", IEEE Transactions on Mobile Computing, 16, (12), pp. 3554-3567 Wenjie Hu and Guohong Cao, 2017, "Quality-Aware Traffic Offloading in Wireless Networks", IEEE Transactions on Mobile Computing, 16, (11), pp. 3182-3195 Xiaomei Zhang and Guohong Cao, 2017, "Transient Community Detection and Its Application to Data Forwarding in Delay Tolerant Networks", IEEE/ACM Transactions on Networking, 25, (5), pp. 2829-2843 F. Tian, B. Liu, X. Sun, X. Zhang, Guohong Cao and L. Gui, 2017, "Movement-Based Incentive for Crowdsourcing", IEEE Transactions on Vehicular Technology, 66, (8), pp. 3554-3567 T. Dao, I. Singh, H. Madhyastha, S. Krishnamurthy, Guohong Cao and P. Mohapatra, 2017, "TIDE: A User-Centric Tool for Identifying Energy Hungry Applications on Smartphones", IEEE/ACM Transactions on Networking, 25, (3), pp. 1459-1474 Srikar Tati, Scott Rager, Bong-Jun Ko, Guohong Cao, Ananthram Swami and Thomas F Laporta, 2016, "netCSI: A Generic Fault Diagnosis Algorithm for Large-Scale Failuresin Computer Networks", IEEE Transactions on Dependable and Secure Computing (TDSC) X. Sun, Z. Lu, X. Zhang, M. Salath and Guohong Cao, 2016, "Infectious Disease Containment Based on a Wireless Sensor System", IEEE Access Jing Zhao, Wei Gao, Yi Wang and Guohong Cao, 2016, "Delay-Constrained Caching in Cognitive Radio Networks", IEEE Transactions on Mobile Computing, 15, (3), pp. 627640 Z. Lu, Y. Wen, W. Zhang, Q. Zheng and Guohong Cao, 2016, "Towards Information Diffusion in Mobile Social Networks", IEEE Transactions on Mobile Computing Q. Li and Guohong Cao, 2016, "Providing Privacy-Aware Incentives for Mobile Sensing", IEEE Transactions on Mobile Computing (TMC) Yibo Wu, Yi Wang, Wenjie Hu and Guohong Cao, 2016, "SmartPhoto: a resource-aware crowdsourcing approach for image sensing with smartphones", IEEE Transactions on Mobile Computing Yi Yang, Sencun Zhu and Guohong Cao, 2016, "Improving sensor network immunity under worm attacks: A software diversity approach", Ad Hoc Networks J. Zhao, X. Zhuo, Q. Li, W. Gao and Guohong Cao, 2016, "Contact Duration Aware Data Replication in DTNs with Licensed and Unlicensed Spectrum", IEEE Transactions on Mobile Computing Zongqing Lu, Xiao Sun, Yonggang Wen, Guohong Cao and Tom La Porta, 2015, "Algorithms and Applications for Community Detection in Weighted Networks", IEEE Transactions on Parallel and Distributed Systems, 26, (11), pp. 11 Qinghua Li and Guohong Cao, 2015, "Privacy-preserving participatory sensing", IEEE Communications Magazine, 53, (8), pp. 6874 W. Gao, Q. Li and Guohong Cao, 2015, "Forwarding Redundancy in Opportunistic Mobile Networks: Investigation, Elimination and Exploitation", IEEE Transactions on Mobile Computing, 14, (4), pp. 714-727 S. Tati, B. Ko, Guohong Cao, A. Swami and Thomas F Laporta, 2015, "Adaptive Algorithms for Diagnosing Large-Scale Failures in Computer Networks", IEEE Transactions on Parallel and Distributed Systems (TDPS), 26, (3), pp. 646-656 Bo Zhao, Wenjie Hu, Qiang Zheng and Guohong Cao, 2015, "Energy-Aware Web Browsing on Smartphones", IEEE Transactions on Parallel and Distributed Systems, 26, (3), pp. 761-774 Jing Zhao and Guohong Cao, 2014, "Robust Topology Control in Multi-Hop Cognitive Radio Networks", IEEE Transactions on Mobile Computing, 13, (11), pp. 26342647 Qiang Zheng, Guohong Cao, Thomas F Laporta and Ananthram Swami, 2014, "A Cross-Layer Approach for Minimizing Routing Disruption in IP Networks", IEEE Transactions on Parallel and Distributed Systems, 25, (7), pp. 16591669 Qiang Zheng, Guohong Cao, Thomas F Laporta and Ananthram Swami, 2014, "Cross-Layer Approach for Minimizing Routing Disruption in IP Networks", IEEE Trans. Parallel Distrib. Syst., 25, (7), pp. 16591669 Wei Gao, Guohong Cao, Arun Iyengar and Mudhakar Srivatsa, 2014, "Cooperative caching for efficient data access in disruption tolerant networks", IEEE Transactions on Mobile Computing, 13, (3), pp. 611625 Xuejun Zhuo, Wei Gao, Guohong Cao and Sha Hua, 2014, "An Incentive Framework for Cellular Traffic Offloading.", IEEE Transactions on Mobile Computing, 13, (3), pp. 541555 Qinghua Li, Guohong Cao and Thomas F Laporta, 2014, "Efficient and Privacy-Aware Data Aggregation in Mobile Sensing", 11, (2), pp. 115129 Victoria C Barclay, Timo Smieszek, Jianping He, Guohong Cao, Jeanette J Rainey, Hongjiang Gao, Amra Uzicanin and Marcel Salath, 2014, "Positive network assortativity of influenza vaccination at a high school: implications for outbreak risk and herd immunity", PloS one, 9, (2), pp. e87042 Y. Wang and Guohong Cao, 2013, "Achieving Full-view Coverage in Camera Sensor Networks", ACM Transactions on Sensor Networks, 10, (1), pp. 31 Y. Yang, M. Shao, S. Zhu and Guohong Cao, 2013, "Towards Statistically Strong Source Anonymity for Sensor Networks", ACM Transactions on Sensor Networks, 9, (3), pp. 23 Q. Zheng and Guohong Cao, 2013, "Minimizing Probing Cost and Achieving Identifiability in Probe Based Network Link Monitoring", IEEE Transactions on Computers, 62, (3), pp. 510-523 W. Gao, Guohong Cao, T. F. La Porta and J. Han, 2013, "On Exploiting Transient Social Contact Patterns for Data Forwarding in Delay Tolerant Networks", IEEE Transactions on Mobile Computing, 12, (1), pp. 151-165 Q. Li, W. Gao, S. Zhu and Guohong Cao, 2013, "To Lie or to Comply: Defending Against Flood Attacks in Disruption Tolerant Networks", IEEE Transactions on Dependable and Secure Computing, 10, (3), pp. 168-182 Z. Zhu and Guohong Cao, 2013, "Toward Privacy Preserving and Collusion Resistance in Location Proof Updating System", IEEE Transactions on Mobile Computing, 12, (1), pp. 51-64 Zhichao Zhu and Guohong Cao, 2013, "Toward Privacy Preserving and Collusion Resistance in a Location ProofUpdating System", IEEE Trans. Mob. Comput., 12, (1), pp. 5164 Qinghua Li, Wei Gao, Sencun Zhu and Guohong Cao, 2012, "A routing protocol for socially selfish delay tolerant networks", Ad Hoc Networks, 10, (8), pp. 16191632 Yang Zhang, Liangzhong Yin, Jing Zhao and Guohong Cao, 2012, "Balancing the Trade-Offs between Query Delay and Data Availabilityin MANETs", IEEE Trans. Parallel Distrib. Syst., 23, (4), pp. 643650 Qinghua Li and Guohong Cao, 2012, "Mitigating Routing Misbehavior in Disruption Tolerant Networks", IEEE Transactions on Information Forensics and Security, 7, (2), pp. 664675 Wei Gao, Qinghua Li, Bo Zhao and Guohong Cao, 2012, "Social-Aware Multicast in Disruption-Tolerant Networks", IEEE/ACM Trans. Netw., 20, (5), pp. 15531566 Xuan Jiang, Wenhui Hu, Sencun Zhu and Guohong Cao, 2011, "Compromise-resilient anti-jamming communication in wireless sensor networks", Wireless Networks, 17, (6), pp. 15131527 Qinghua Li and Guohong Cao, 2011, "Multicast Authentication in the Smart Grid With One-Time Signature", IEEE Trans. Smart Grid, 2, (4), pp. 686696 Changlei Liu and Guohong Cao, 2011, "Spatial-Temporal Coverage Optimization in Wireless Sensor Networks", IEEE Trans. Mob. Comput., 10, (4), pp. 465478 Yang Zhang and Guohong Cao, 2011, "V-PADA: Vehicle-Platoon-Aware Data Access in VANETs", IEEE T. Vehicular Technology, 60, (5), pp. 23262339 Guohong Cao, J.-P. Hubaux, Y. Kim and Y. Zhang, 2010, "Guest Editorial: Security and Privacy in Emerging Wireless Networks", IEEE Wireless Communications, 17, (5), pp. 10-11 Jing Zhao, Ping Zhang, Guohong Cao and Chitaranjan Das, 2010, "Cooperative Caching in Wireless P2P Networks: Design, Implementation, and Evaluation", IEEE Trans. Parallel Distrib. Syst., 21, (2), pp. 229241 Yang Zhang, Jing Zhao and Guohong Cao, 2010, "Service Scheduling of Vehicle-Roadside Data Access", MONET, 15, (1), pp. 8396 Wensheng Zhang, Sencun Zhu and Guohong Cao, 2009, "Editorial for special issue on privacy and security in wireless sensorand ad hoc networks", Ad Hoc Networks, 7, (8), pp. 14311433 Min Shao, Sencun Zhu, Wensheng Zhang, Guohong Cao and Yi Yang, 2009, "pDCS: Security and Privacy Support for Data-Centric Sensor Networks", IEEE Trans. Mob. Comput., 8, (8), pp. 10231038 Wensheng Zhang, Sencun Zhu and Guohong Cao, 2009, "Predistribution and local collaboration-based group rekeying for wireless sensor networks", Ad Hoc Networks, 7, (6), pp. 12291242 Yang Zhang, Jing Zhao and Guohong Cao, 2009, "Roadcast: a popularity aware content sharing scheme in VANETs", Mobile Computing and Communications Review, 13, (4), pp. 114 Changlei Liu and Guohong Cao, 2008, "An energy-efficient fault-tolerant monitoring system for sensor networks", Mobile Computing and Communications Review, 12, (1), pp. 2627 Wensheng Zhang and Guohong Cao, 2008, "Defending against cache consistency attacks in wireless ad hoc networks", Ad Hoc Networks, 6, (3), pp. 363379 Hui Song, Sencun Zhu, Wensheng Zhang and Guohong Cao, 2008, "Least privilege and privilege deprivation: Toward tolerating mobile sink compromises in wireless sensor networks", TOSN, 4, (4) Raju Kumar, Riccardo Crepaldi, Hosam Rowaihy, Albert F. Harris, III, Guohong Cao, Michele Zorzi and Thomas F Laporta, 2008, "Mitigating Performance Degradation in Congested Sensor Networks", IEEE Trans. Mob. Comput., 7, (6), pp. 682697 Heesook Choi, Hui Song, Guohong Cao and Thomas F Laporta, 2008, "Mobile multi-layered IPsec", Wireless Networks, 14, (6), pp. 895913 Yi Yang, Xinran Wang, Sencun Zhu and Guohong Cao, 2008, "SDAP: A Secure Hop-by-Hop Data Aggregation Protocol for Sensor Networks", ACM Trans. Inf. Syst. Secur., 11, (4) Jing Zhao and Guohong Cao, 2008, "VADD: Vehicle-Assisted Data Delivery in Vehicular Ad Hoc Networks", IEEE T. Vehicular Technology, 57, (3), pp. 19101922 W. Zhang, Guohong Cao and T. F. La Porta, 2007, "Dynamic Proxy Tree-Based Data Dissemination Schemes for Wireless Sensor Networks", ACM/Kluwer Wireless Networks (WINET), 13, (5), pp. 583-595 P. Traynor, R. Kumar, H. B. Saad, Guohong Cao and T. F. La Porta, 2007, "Efficient Hybrid Security Mechanisms for Heterogeneous Sensor Networks", IEEE Transactions on Mobile Computing, 6, (6), pp. 663-677 Hui Song, Sencun Zhu and Guohong Cao, 2007, "Attack-resilient time synchronization for wireless sensor networks", Ad Hoc Networks, 5, (1), pp. 112125 Guiling Wang, Guohong Cao, Piotr Berman and Thomas F Laporta, 2007, "Bidding Protocols for Deploying Mobile Sensors", IEEE Trans. Mob. Comput., 6, (5), pp. 563576 Sunho Lim, Wang Lee, Guohong Cao and Chitaranjan Das, 2007, "Cache invalidation strategies for internet-based mobile ad hoc networks", Computer Communications, 30, (8), pp. 18541869 Jiannong Cao, Yang Zhang, Guohong Cao and Li Xie, 2007, "Data Consistency for Cooperative Caching in Mobile Environments", IEEE Computer, 40, (4), pp. 6066 Wensheng Zhang, Guohong Cao and Thomas F Laporta, 2007, "Data Dissemination with Ring-Based Index for Wireless Sensor Networks", IEEE Trans. Mob. Comput., 6, (7), pp. 832847 Jing Zhao, Yang Zhang and Guohong Cao, 2007, "Data Pouring and Buffering on the Road: A New Data Dissemination Paradigm for Vehicular Ad Hoc Networks", IEEE T. Vehicular Technology, 56, (6), pp. 32663277 Wensheng Zhang, Guohong Cao and Thomas F Laporta, 2007, "Dynamic proxy tree-based data dissemination schemes for wireless sensor networks", Wireless Networks, 13, (5), pp. 583595 Patrick Traynor, Raju Kumar, Heesook Choi, Guohong Cao, Sencun Zhu and Thomas F Laporta, 2007, "Efficient Hybrid Security Mechanisms for Heterogeneous Sensor Networks", IEEE Trans. Mob. Comput., 6, (6), pp. 663677 S. Lim, W.-C. Lee, Guohong Cao and C. R. Das, 2006, "A Novel Caching Scheme for Improving Internet-based Mobile Ad Hoc Networks Performance", Ad Hoc Networks Journal, 4, (2), pp. 225-239 Guohong Cao, G. Kesidis, T. F. La Porta, B. Yao and S. Phoha, 2006, "Purposeful Mobility in Tactical Sensor Networks", Sensor Network Operations, pp. 113-126 Sunho Lim, Wang Lee, Guohong Cao and Chitaranjan Das, 2006, "A novel caching scheme for improving Internet-based mobile ad hoc networks performance", Ad Hoc Networks, 4, (2), pp. 225239 Jiannong Cao, Yang Zhang, Li Xie and Guohong Cao, 2006, "Consistency of cooperative caching in mobile peer-to-peer systems over MANET", IJPEDS, 21, (3), pp. 151168 Guohong Cao, Dapeng Wu, Hongyi Wu and Junshan Zhang, 2006, "Guest Editorial", MONET, 11, (4), pp. 537538 Guohong Cao, Wenjing Lou and Mukesh Singhal, 2006, "Mobile Ad Hoc and Sensor Systems", IJWIN, 13, (4), pp. 261262 Guiling Wang, Guohong Cao and Thomas F Laporta, 2006, "Movement-Assisted Sensor Deployment", IEEE Trans. Mob. Comput., 5, (6), pp. 640652 Hao Zhu and Guohong Cao, 2006, "rDCF: A Relay-Enabled Medium Access Control Protocol for Wireless Ad Hoc Networks", IEEE Trans. Mob. Comput., 5, (9), pp. 12011214 Ying Cai, Kien A. Hua, Guohong Cao and Toby Xu, 2006, "Real-Time Processing of Range-Monitoring Queries in Heterogeneous Mobile Databases", IEEE Trans. Mob. Comput., 5, (7), pp. 931942 Liangzhong Yin and Guohong Cao, 2006, "Supporting Cooperative Caching in Ad Hoc Networks", IEEE Trans. Mob. Comput., 5, (1), pp. 7789 Liangzhong Yin, Guohong Cao and Ying Cai, 2005, "A generalized target-driven cache replacement policy for mobile environments", J. Parallel Distrib. Comput., 65, (5), pp. 583594 Hui Song and Guohong Cao, 2005, "Cache-miss-initiated prefetch in mobile environments", Computer Communications, 28, (7), pp. 741753 Hao Zhu and Guohong Cao, 2005, "On Supporting Power-Efficient Streaming Applications in Wireless Environments", IEEE Trans. Mob. Comput., 4, (4), pp. 391403 Guohong Cao, L. Yin and C. R. Das, 2004, "A Cooperative Cache Based Data Access Framework for Ad Hoc Networks", IEEE Computer, 37, (2), pp. 32-39 Sunho Lim, Guohong Cao and Chitaranjan Das, 2004, "A unified bandwidth reservation and admission control mechanism for QoS provisioning in cellular networks", Wireless Communications and Mobile Computing, 4, (1), pp. 318 Liangzhong Yin and Guohong Cao, 2004, "Adaptive power-aware prefetch in wireless networks", IEEE Transactions on Wireless Communications, 3, (5), pp. 16481658 Hao Zhu, Guohong Cao, George Kesidis and Chitaranjan Das, 2004, "An adaptive power-conserving service discipline for bluetooth (APCB) wireless networks", Computer Communications, 27, (9), pp. 828839 Guohong Cao, Liangzhong Yin and Chitaranjan Das, 2004, "Cooperative Cache-Based Data Access in Ad Hoc Networks", IEEE Computer, 37, (2), pp. 3239 Wensheng Zhang and Guohong Cao, 2004, "DCTC: dynamic convoy tree-based collaboration for target tracking in sensor networks", IEEE Transactions on Wireless Communications, 3, (5), pp. 16891701 Hao Zhu and Guohong Cao, 2004, "On Improving the Performance of IEEE 802.11 with Relay-Enabled PCF", MONET, 9, (4), pp. 423434 Guohong Cao, 2003, "A Scalable Low-Latency Cache Invalidation Strategy for Mobile", IEEE Trans. Knowl. Data Eng., 15, (5), pp. 12511265 Guohong Cao and Mukesh Singhal, 2003, "Checkpointing with mutable checkpoints", Theor. Comput. Sci., 290, (2), pp. 11271148 Guohong Cao, 2003, "Integrating Distributed Channel Allocation and Adaptive Handoff Management for QoS-Sensitive Cellular Networks", Wireless Networks, 9, (2), pp. 131142 Guohong Cao, Wu-chi Feng and Mukesh Singhal, 2003, "Online variable-bit-rate video traffic smoothing", Computer Communications, 26, (7), pp. 639651 Wensheng Zhang and Guohong Cao, 2003, "Optimizing tree reconfiguration to track mobile targets in sensornetworks", Mobile Computing and Communications Review, 7, (3), pp. 3940 Guohong Cao and Mukesh Singhal, 2002, "Correction to "Mutable Checkpoints: A New Checkpointing Approach for Mobile Computing Systems"", IEEE Trans. Parallel Distrib. Syst., 13, (5), pp. 527 Guohong Cao, 2002, "On Improving the Performance of Cache Invalidation in Mobile Environments", MONET, 7, (4), pp. 291303 Guohong Cao, 2002, "Proactive Power-Aware Cache Management for Mobile Computing Systems", IEEE Trans. Computers, 51, (6), pp. 608621 Guohong Cao and Mukesh Singhal, 2001, "A Delay-Optimal Quorum-Based Mutual Exclusion Algorithm for Distributed Systems", IEEE Trans. Parallel Distrib. Syst., 12, (12), pp. 12561268 Guohong Cao and Mukesh Singhal, 2001, "Mutable Checkpoints: A New Checkpointing Approach for Mobile Computing Systems", IEEE Trans. Parallel Distrib. Syst., 12, (2), pp. 157172 Guohong Cao and M. Singhal, 2000, "Distributed Fault-Tolerant Channel Allocation for Cellular Networks", IEEE Journal on Selected Areas in Communications, 18, (7), pp. 1326-1337 Guohong Cao and Mukesh Singhal, 2000, "An Adaptive Distributed Channel Allocation Strategy for Mobile Cellular Networks", J. Parallel Distrib. Comput., 60, (4), pp. 451473 Guohong Cao and Mukesh Singhal, 2000, "Efficient distributed channel allocation for cellular networks", Computer Communications, 23, (10), pp. 950961 Guohong Cao and Mukesh Singhal, 1998, "On Coordinated Checkpointing in Distributed Systems", IEEE Transactions on Parallel Distributed Systems, 9, (12), pp. 12131225 Conference Proceedings Y. Khazbak, J. Fan, S. zhu and Guohong Cao, 2018, "Preserving Location Privacy in Ride-Hailing Service" J. Fan, Y. Khazbak, j Tian, t liu and Guohong Cao, 2018, "Mitigating Stealthy False Data Injection Attacks Against State Estimation in Smart Grid" Yeli Geng, Yi Yang and Guohong Cao, 2018, "Energy-Efficient Computation Offloading for Multicore-Based Mobile Devices", University Park, United States J. Fan, Q. Li and Guohong Cao, 2017, "Privacy Disclosure Through Smart Meters: Reactive Power Based Attack and Defense" Yibo Wu, Yi Wang and Guohong Cao, 2017, "Photo Crowdsourcing for Area Coverage in Resource Constrained Environments" L. Ma, Guohong Cao and L. Kaplan, 2017, "Graphical approach for influence maximization in social networks under generic threshold-based non-submodular model" Y. Sagduyu, Y. Shi, T. Erpek, S. Soltani, S. Mackey, D. Cansever, M. Patel, B. Panettieri, B. Szymanski and Guohong Cao, 2017, "Multilayer MANET routing with social-cognitive learning" Y. Yang, Y. Geng, L. Qiu, W. Hu and Guohong Cao, 2017, "Context-Aware Task Offloading for Wearable Devices," Yi Yang, Yeli Geng and Guohong Cao, 2017, "Energy-Aware Advertising through Quality-Aware Prefetching on Smartphones" Li Qiu and Guohong Cao, 2017, "Maintaining Social Links through Amplify-and-Forward in Wireless Networks" X. Sun, L. Qiu, Y. Wu, Y. Tang and Guohong Cao, 2017, "SleepMonitor: Monitoring Respiratory Rate and Body Position During Sleep Using Smartwatch" Yi Yang and Guohong Cao, 2017, "Characterizing and Optimizing Background Data Transfers on Smartwatches" Y. Khazbak and Guohong Cao, 2017, "Deanonymizing Mobility Traces With Co-Location Information" X. Zhang, Y. Wu, L. Huang, H. Ji and Guohong Cao, 2017, "Expertise-Aware Truth Analysis and Task Allocation in Mobile Crowdsourcing" W. Hu and Guohong Cao, 2017, "Energy-Aware CPU Frequency Scaling for Mobile Video Streaming," Yibo Wu and Guohong Cao, 2017, "VideoMec: A Metadata-Enhanced Crowdsourcing System for Mobile Videos" Li Qiu and Guohong Cao, 2017, "Popularity-Aware Caching Increases the Capacity of Wireless Networks" Z. Lu, Guohong Cao and Thomas F Laporta, 2016, "Networking Smartphones for Disaster Recovery" Li Qiu and Guohong Cao, 2016, "Cache increases the capacity of wireless networks" X. Zhang, Y. Wu and Guohong Cao, 2016, "Resource-Aware Approaches for Truth Analysis in Crowdsourcing" Yibo Wu, yi wang, wenjie Hu, Xiaomei Zhang and Guohong Cao, 2016, "Resource-Aware Photo Crowdsourcing Through Disruption Tolerant Networks" Y. Geng, W. Hu, Y. Yang, W. Gao and Guohong Cao, 2015, "Energy-Efficient Computation Offloading in Cellular Networks" J. Fan, Q. Li and Guohong Cao, 2015, "Privacy-Aware and Trustworthy Data Aggregation in Mobile Sensing" Xiao Sun, Zongqing Lu, Wenjie Hu and Guohong Cao, 2015, "SymDetector: detecting sound-related respiratory symptoms using smartphones", Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2015, ACM, pp. 97108 Zongqing Lu, Jing Zhao, Yibo Wu and Guohong Cao, 2015, "Task Allocation for Mobile Cloud Computing in Heterogeneous Wireless Networks", pp. 19 T. Dao, I. Singh, H. V. Madhyastha, S. Krishnamurthy, Guohong Cao and P. Mohapatra, 2015, "TIDE: A User-Centric Tool for Identifying Energy Hungry Applications on Smartphones" Xiaomei Zhang, Jing Zhao and Guohong Cao, 2015, "Who Will Attend? - Predicting Event Attendance in Event-Based Social Network", pp. 7483 Wenjie Hu and Guohong Cao, 2015, "Energy-aware video streaming on smartphones", pp. 11851193 Ben Niu, Qinghua Li, Zhu Zhu, Guohong Cao and Hui Li, 2015, "Enhancing privacy through caching in location-based services", Proceedings of the 2015 IEEE Conference on Computer Communications, INFOCOM 2015, pp. 10171025 X. Sun, Z. Lu, X. Zhang, M. Salath and Guohong Cao, 2015, "Targeted Vaccination Based on a Wireless Sensor System" Jianxia Ning, Indrajeet Singh, Harsha V Madhyastha, Srikanth V Krishnamurthy, Guohong Cao and Prasant Mohapatra, 2014, "Secret message sharing using online social media", pp. 319327 Jing Zhao, Xiaomei Zhang, Guohong Cao, Mudhakar Srivatsa and Xifeng Yan, 2014, "Expertise-Based Data Access in Content-Centric Mobile Opportunistic Networks", IEEE Computer Society, pp. 199207 and Guohong Cao, 2014, "Expertise-Based Data Access in Content-Centric Mobile Opportunistic Networks", 11th IEEE International Conference on Mobile Ad Hoc and Sensor Systems,MASS 2014, IEEE Computer Society Yi Wang, Wenjie Hu, Yibo Wu and Guohong Cao, 2014, "SmartPhoto: a resource-aware crowdsourcing approach for image sensing with smartphones", pp. 113122 Wenjie Hu and Guohong Cao, 2014, "Quality-aware traffic offloading in wireless networks", pp. 277286 Zongqing Lu, Xiao Sun, Yonggang Wen and Guohong Cao, 2014, "Skeleton Construction in Mobile Social Networks: Algorithms and Applications", pp. 477-485 Xiaomei Zhang and Guohong Cao, 2014, "Efficient Data Forwarding in Mobile Social Networks with Diverse ConnectivityCharacteristics", pp. 3140 Qinghua Li and Guohong Cao, 2014, "Providing Efficient Privacy-Aware Incentives for Mobile Sensing", pp. 208217 Wenjie Hu and Guohong Cao, 2014, "Energy optimization through traffic aggregation in wireless networks", pp. 916924 Zongqing Lu, Yonggang Wen and Guohong Cao, 2014, "Information diffusion in mobile social networks: The speed perspective", pp. 19321940 Jing Zhao, Wei Gao, Yi Wang and Guohong Cao, 2014, "Delay-constrained caching in cognitive radio networks", pp. 20942102 Jing Zhao and Guohong Cao, 2014, "Spectrum-aware data replication in intermittently connected cognitiveradio networks", pp. 22382246 Wei Gao, Qinghua Li and Guohong Cao, 2014, "Forwarding redundancy in opportunistic mobile networks: Investigationand elimination", pp. 23012309 Ben Niu, Qinghua Li, Xiaoyan Zhu, Guohong Cao and Hui Li, 2014, "Achieving k-anonymity in privacy-aware location-based services" , 2014, "2014 IEEE Conference on Computer Communications, INFOCOM 2014, Toronto, Canada, April 27 - May 2, 2014", IEEE Xiaomei Zhang and Guohong Cao, 2014, "Efficient Data Forwarding in Mobile Social Networks with Diverse Connectivity Characteristics", pp. 3140 , 2014, "Eleventh Annual IEEE International Conference on Sensing, Communication, and Networking, SECON 2014, Singapore, June 30 - July 3, 2014", IEEE , 2014, "IEEE 34th International Conference on Distributed Computing Systems, ICDCS 2014, Madrid, Spain, June 30 - July 3, 2014", IEEE Computer Society , 2014, "IEEE Conference on Communications and Network Security, CNS 2014, San Francisco, CA, USA, October 29-31, 2014", IEEE , 2014, "The Fifteenth ACM International Symposium on Mobile Ad Hoc Networking and Computing, MobiHoc14, Philadelphia, PA, USA, August 11-14, 2014", ACM X. Zhang and Guohong Cao, 2013, "Transient Community Detection and Its Application to Data Forwarding in Delay Tolerant Networks", Proceedings of the Twenty-First IEEE International Conference on Network Protocols (ICNP 2013), pp. 10 Q. Li and Guohong Cao, 2013, "Efficient Privacy-Preserving Stream Aggregation in Mobile Sensing with Low Aggregation Error", Proceedings of the Thirteenth Privacy Enhancing Technologies Symposium (PETS 2013), pp. 60-81 B. Zhao, Q. Zheng, Guohong Cao and S. Addepalli, 2013, "Energy-Aware Web Browsing in 3G Based Smartphones", Proceedings of the Thirty-Third International Conference on Distributed Computing Systems (ICDCS 2013), pp. 165-175 W. Hu, Guohong Cao, S. Krishanamurthy and P. Mohapatra, 2013, "Mobility-Assisted Energy-Aware User Contact Detection in Mobile Social Networks", Proceedings of the Thirty-Third International Conference on Distributed Computing Systems (ICDCS 2013), pp. 155-164 Z. Lu, . Wen and Guohong Cao, 2013, "Community Detection in Weighted Networks: Algorithms and Applications", Proceedings of the IEEE International Conference on Pervasive Computing and Communications (PerCom 2013), pp. 179-184 Q. Li and Guohong Cao, 2013, "Providing Privacy-Aware Incentives for Mobile Sensing", Proceedings of the IEEE International Conference on Pervasive Computing and Communications (PerCom 2013), pp. 76-84 , 2013, "2013 21st IEEE International Conference on Network Protocols, ICNP 2013, Gttingen, Germany, October 7-10, 2013", IEEE , 2013, "2013 IEEE International Conference on Pervasive Computing and Communications, PerCom 2013, San Diego, CA, USA, March 18-22, 2013", IEEE Computer Society Qinghua Li and Guohong Cao, 2013, "Efficient Privacy-Preserving Stream Aggregation in Mobile Sensing with Low Aggregation Error", pp. 6081 , 2013, "IEEE 33rd International Conference on Distributed Computing Systems, ICDCS 2013, 8-11 July, 2013, Philadelphia, Pennsylvania, USA", IEEE Computer Society , 2013, "Privacy Enhancing Technologies - 13th International Symposium, PETS 2013, Bloomington, IN, USA, July 10-12, 2013. Proceedings", Springer, 7981 , 2012, "2012 IEEE 32nd International Conference on Distributed Computing Systems, Macau, China, June 18-21, 2012", IEEE Computer Society , 2012, "20th IEEE International Conference on Network Protocols, ICNP 2012, Austin, TX, USA, October 30 - Nov. 2, 2012", IEEE Qiang Zheng, Jing Zhao and Guohong Cao, 2012, "A cross-layer approach for IP network protection", pp. 112 Srikar Tati, Bong-Jun Ko, Guohong Cao, Ananthram Swami and Thomas F Laporta, 2012, "Adaptive algorithms for diagnosing large-scale failures in computer networks", pp. 112 Changlei Liu and Guohong Cao, 2012, "Distributed critical location coverage in wireless sensor networks with lifetime constraint", pp. 13141322 Wei Gao, Guohong Cao, Mudhakar Srivatsa and Arun Iyengar, 2012, "Distributed Maintenance of Cache Freshness in Opportunistic Mobile Networks", pp. 132141 Qinghua Li and Guohong Cao, 2012, "Efficient and privacy-preserving data aggregation in mobile sensing", pp. 110 , 2012, "IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2012, Boston, MA, USA, June 25-28, 2012", IEEE Computer Society Maheswaran Sathiamoorthy, Wei Gao, Bhaskar Krishnamachari and Guohong Cao, 2012, "Minimum Latency Data Diffusion in Intermittently Connected MobileNetworks", pp. 15 , 2012, "Mobile and Ubiquitous Systems: Computing, Networking, and Services - 7th International ICST Conference, MobiQuitous 2010, Sydney, Australia, December 6-9, 2010, Revised Selected Papers", Springer, 73 Qiang Zheng, Guohong Cao, Thomas F Laporta and Ananthram Swami, 2012, "Optimal Recovery from Large-Scale Failures in IP Networks", pp. 295304 , 2012, "Proceedings of the 75th IEEE Vehicular Technology Conference, VTC Spring 2012, Yokohama, Japan, May 6-9, 2012", IEEE , 2012, "Proceedings of the IEEE INFOCOM 2012, Orlando, FL, USA, March 25-30, 2012", IEEE Jing Zhao and Guohong Cao, 2012, "Robust topology control in multi-hop cognitive radio networks", pp. 20322040 Q. Zheng, Guohong Cao, T. F. La Porta and A. Swami, 2011, "Detecting and Localizing Large-Scale Router Failures Using Active Probes", Proceedings of the IEEE Military Communications Conference (MILCOM 2011), pp. 1170-1175 Y. Zhang, S. Ray, Guohong Cao, T. La Porta and P. Basu, 2011, "Data Replication in Mobile Tactical Networks", Proceedings of the IEEE Military Communications Conference (MILCOM 2011), pp. 797-803 , 2011, "2011 International Conference on Distributed Computing Systems, ICDCS 2011, Minneapolis, Minnesota, USA, June 20-24, 2011", IEEE Computer Society , 2011, "30th IEEE Symposium on Reliable Distributed Systems (SRDS 2011), Madrid, Spain, October 4-7, 2011", IEEE Computer Society , 2011, "4th International ICST Conference on Security and Privacy in Communication Networks, SECURECOMM 2008, Istanbul, Turkey, September 22-25, 2008", ACM Zhichao Zhu and Guohong Cao, 2011, "APPLAUS: A Privacy-Preserving Location Proof Updating System for location-based services", pp. 18891897 Yi Wang and Guohong Cao, 2011, "Barrier coverage in camera sensor networks", pp. 12 Zhichao Zhu, Guohong Cao, Ram Keralapura and Antonio Nucci, 2011, "Characterizing Data Services in a 3G Network: Usage, Mobility and Access Issues", pp. 16 Xuejun Zhuo, Qinghua Li, Wei Gao, Guohong Cao and Yiqi Dai, 2011, "Contact duration aware data replication in Delay Tolerant Networks", pp. 236245 , 2011, "IEEE 8th International Conference on Mobile Adhoc and Sensor Systems, MASS 2011, Valencia, Spain, October 17-22, 2011", IEEE Computer Society , 2011, "INFOCOM 2011. 30th IEEE International Conference on Computer Communications, Joint Conference of the IEEE Computer and Communications Societies, 10-15 April 2011, Shanghai, China", IEEE Yi Wang and Guohong Cao, 2011, "Minimizing service delay in directional sensor networks", pp. 17901798 Srikar Tati, Scott Rager, Bong-Jun Ko, Guohong Cao, Ananthram Swami and Thomas F Laporta, 2011, "netCSI: A Generic Fault Diagnosis Algorithm for Large-Scale Failures in Computer Networks", pp. 167176 Yi Wang and Guohong Cao, 2011, "On full-view coverage in camera sensor networks", pp. 17811789 Hongyan Wang, Md. Yusuf Sarwar Uddin, Guo-Jun Qi, Tom Huang, Tarek F. Abdelzaher and Guohong Cao, 2011, "PhotoNet: A similarity-aware image delivery service for situation awareness", pp. 135136 , 2011, "Proceedings of IEEE International Conference on Communications, ICC 2011, Kyoto, Japan, 5-9 June, 2011", IEEE , 2011, "Proceedings of the 10th International Conference on Information Processing in Sensor Networks, IPSN 2011, April 12-14, 2011, Chicago, IL, USA", IEEE , 2011, "Proceedings of the 12th ACM Interational Symposium on Mobile Ad Hoc Networking and Computing, MobiHoc 2011, Paris, France, May 16-20, 2011", ACM , 2011, "Proceedings of the 19th annual IEEE International Conference on Network Protocols, ICNP 2011, Vancouver, BC, Canada, October 17-20, 2011" Bo Zhao, Byung-Chul Tak and Guohong Cao, 2011, "Reducing the Delay and Power Consumption of Web Browsing on Smartphones in 3G Networks", pp. 413422 Xuejun Zhuo, Qinghua Li, Guohong Cao, Yiqi Dai, Boleslaw K. Szymanski and Thomas F Laporta, 2011, "Social-Based Cooperative Caching in DTNs: A Contact Duration Aware Approach", pp. 92101 Wei Gao, Guohong Cao, Arun Iyengar and Mudhakar Srivatsa, 2011, "Supporting Cooperative Caching in Disruption Tolerant Networks", pp. 151161 Lu Su, Yan Gao, Yong Yang and Guohong Cao, 2011, "Towards optimal rate allocation for data aggregation in wireless sensor networks", pp. 19 Wei Gao and Guohong Cao, 2011, "User-centric data dissemination in disruption tolerant networks", pp. 31193127 Xuejun Zhuo, Wei Gao, Guohong Cao and Yiqi Dai, 2011, "Win-Coupon: An incentive framework for 3G traffic offloading", pp. 206215 , 2010, "2010 International Conference on Distributed Computing Systems, ICDCS 2010, Genova, Italy, June 21-25, 2010", IEEE Computer Society Xuan Jiang, Wenhui Hu, Sencun Zhu and Guohong Cao, 2010, "Compromise-Resilient Anti-jamming for Wireless Sensor Networks", pp. 140154 Changlei Liu and Guohong Cao, 2010, "Distributed Monitoring and Aggregation in Wireless Sensor Networks", pp. 20972105 Wei Gao and Guohong Cao, 2010, "Fine-grained mobility characterization: steady and transient state behaviors", pp. 6170 , 2010, "INFOCOM 2010. 29th IEEE International Conference on Computer Communications, Joint Conference of the IEEE Computer and Communications Societies, 15-19 March 2010, San Diego, CA, USA", IEEE , 2010, "Information and Communications Security - 12th International Conference, ICICS 2010, Barcelona, Spain, December 15-17, 2010. Proceedings", Springer, 6476 Qiang Zheng and Guohong Cao, 2010, "Minimizing Probing Cost and Achieving Identifiability in Network Link Monitoring", pp. 675684 Bo Zhao, Zhi Xu, Caixia Chi, Sencun Zhu and Guohong Cao, 2010, "Mirroring Smartphones for Good: A Feasibility Study", pp. 2638 Wei Gao and Guohong Cao, 2010, "On exploiting transient contact patterns for data forwarding in Delay Tolerant Networks", pp. 193202 , 2010, "Proceedings of the 11th ACM Interational Symposium on Mobile Ad Hoc Networking and Computing, MobiHoc 2010, Chicago, IL, USA, September 20-24, 2010", ACM , 2010, "Proceedings of the 18th annual IEEE International Conference on Network Protocols, ICNP 2010, Kyoto, Japan, 5-8 October, 2010", IEEE Computer Society Qinghua Li, Sencun Zhu and Guohong Cao, 2010, "Routing in Socially Selfish Delay Tolerant Networks", pp. 857865 , 2009, "29th IEEE International Conference on Distributed Computing Systems (ICDCS 2009), 22-26 June 2009, Montreal, Qubec, Canada", IEEE Computer Society Bo Zhao, Caixia Chi, Wei Gao, Sencun Zhu and Guohong Cao, 2009, "A Chain Reaction DoS Attack on 3G Networks: Analysis and Defenses", pp. 24552463 Changlei Liu and Guohong Cao, 2009, "A Multi-Poller based Energy-Efficient Monitoring Scheme for Wireless Sensor Networks", pp. 27812785 Zhichao Zhu, Guohong Cao, Sencun Zhu, Supranamaya Ranjan and Antonio Nucci, 2009, "A Social Network Based Patching Scheme for Worm Containment in Cellular Networks", pp. 14761484 Yi Yang, Sencun Zhu, Guohong Cao and Thomas F Laporta, 2009, "An Active Global Attack Model for Sensor Source Location Privacy: Analysis and Countermeasures", pp. 373393 Min Shao, Wenhui Hu, Sencun Zhu, Guohong Cao, Srikanth Krishnamurth and Thomas F Laporta, 2009, "Cross-layer Enhanced Source Location Privacy in Sensor Networks", pp. 19 , 2009, "IEEE 6th International Conference on Mobile Adhoc and Sensor Systems, MASS 2009, 12-15 October 2009, Macau (S.A.R.), China", IEEE Computer Society , 2009, "INFOCOM 2009. 28th IEEE International Conference on Computer Communications, Joint Conference of the IEEE Computer and Communications Societies, 19-25 April 2009, Rio de Janeiro, Brazil", IEEE Changlei Liu and Guohong Cao, 2009, "Minimizing the Cost of Mine Selection Via Sensor Networks", pp. 21682176 Wei Gao, Qinghua Li, Bo Zhao and Guohong Cao, 2009, "Multicasting in delay tolerant networks: a social network perspective", pp. 299308 Lu Su, Bolin Ding, Yong Yang, Tarek F. Abdelzaher, Guohong Cao and Jennifer C. Hou, 2009, "oCast: Optimal Multicast Routing Protocol for Wireless Sensor Networks", pp. 151160 Yang Zhang, Jing Zhao, Guohong Cao and Chitaranjan Das, 2009, "On Interest Locality in Content-Based Routing for Large-scale MANETs", pp. 178187 Saehoon Kang, Chansu Yu, Chitaranjan Das and Guohong Cao, 2009, "Path-Centric On-Demand Rate Adaptation for Mobile Ad Hoc Networks", pp. 16 , 2009, "Proceedings of the 10th ACM Interational Symposium on Mobile Ad Hoc Networking and Computing, MobiHoc 2009, New Orleans, LA, USA, May 18-21, 2009", ACM , 2009, "Proceedings of the 17th annual IEEE International Conference on Network Protocols, 2009. ICNP 2009, Princeton, NJ, USA, 13-16 October 2009", IEEE Computer Society , 2009, "Proceedings of the 18th International Conference on Computer Communications and Networks, IEEE ICCCN 2009, San Francisco, California, August 3-6, 2009", IEEE , 2009, "Proceedings of the Sixth Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks, SECON 2009, June 22-26, 2009, Rome, Italy", IEEE Yang Zhang, Jing Zhao and Guohong Cao, 2009, "Roadcast: A Popularity Aware Content Sharing Scheme in VANETs", pp. 223230 , 2009, "Security and Privacy in Communication Networks - 5th International ICST Conference, SecureComm 2009, Athens, Greece, September 14-18, 2009, Revised Selected Papers", Springer, 19 , 2008, "28th IEEE International Conference on Distributed Computing Systems (ICDCS 2008), 17-20 June 2008, Beijing, China", IEEE Computer Society Min Shao, Sencun Zhu, Guohong Cao, Thomas F Laporta and Prasant Mohapatra, 2008, "A cross-layer dropping attack in video streaming over ad hoc networks", pp. 25 Michael Lin, Hosam Rowaihy, Timothy Bolbrock, Guohong Cao and Thomas F Laporta, 2008, "Data Collection Using RFID and a Mobile Reader", pp. 741746 Jing Zhao, Todd Arnold, Yang Zhang and Guohong Cao, 2008, "Extending drive-thru data access by vehicle-to-vehicle relay", pp. 6675 Yi Yang, Sencun Zhu and Guohong Cao, 2008, "Improving sensor network immunity under worm attacks: a software diversity approach", pp. 149158 , 2008, "INFOCOM 2008. 27th IEEE International Conference on Computer Communications, Joint Conference of the IEEE Computer and Communications Societies, 13-18 April 2008, Phoenix, AZ, USA", IEEE Todd Arnold, Wyatt Lloyd, Jing Zhao and Guohong Cao, 2008, "IP Address Passing for VANETs", pp. 7079 Jing Zhao, Ping Zhang and Guohong Cao, 2008, "On Cooperative Caching in Wireless P2P Networks", pp. 731739 , 2008, "Proceedings of the 16th annual IEEE International Conference on Network Protocols, 2008. ICNP 2008, Orlando, Florida, USA, 19-22 October 2008", IEEE , 2008, "Proceedings of the 9th ACM Interational Symposium on Mobile Ad Hoc Networking and Computing, MobiHoc 2008, Hong Kong, China, May 26-30, 2008", ACM , 2008, "Proceedings of the Fifth International Workshop on Vehicular Ad Hoc Networks, VANET 2008, San Francisco, California, USA, September 15, 2008", ACM , 2008, "Proceedings of the First ACM Conference on Wireless Network Security, WISEC 2008, Alexandria, VA, USA, March 31 - April 02, 2008", ACM , 2008, "Proceedings of the Global Communications Conference, 2008. GLOBECOM 2008, New Orleans, LA, USA, 30 November - 4 December 2008", IEEE Lu Su, Changlei Liu, Hui Song and Guohong Cao, 2008, "Routing in intermittently connected sensor networks", pp. 278287 , 2008, "Sixth Annual IEEE International Conference on Pervasive Computing and Communications (PerCom 2008), 17-21 March 2008, Hong Kong", IEEE Computer Society Hui Song, Sencun Zhu and Guohong Cao, 2008, "SVATS: A Sensor-Network-Based Vehicle Anti-Theft System", pp. 21282136 Yi Yang, Min Shao, Sencun Zhu, Bhuvan Urgaonkar and Guohong Cao, 2008, "Towards event source unobservability with minimum network traffic in sensor networks", pp. 7788 Min Shao, Yi Yang, Sencun Zhu and Guohong Cao, 2008, "Towards Statistically Strong Source Anonymity for Sensor Networks", pp. 5155 W. Zhang, M. Tran, S. Zhu and Guohong Cao, 2007, "A Random Perturbation-based Scheme for Pairwise Key Establishment in Sensor Networks", Proceedings of the Eighth ACM International Symposium on Mobile Ad Hoc Networking and computing (ACM MobiHoc 2007), pp. 90-99 Y. Zhang, J. Zhao and Guohong Cao, 2007, "On Scheduling Vehicle-Roadside Data Access", Proceedings of the Fourth ACM International Workshop on Vehicular Ad Hoc Networks (VANET 2007), in conjunction with ACM MobiCom 2007, pp. 9-18 J. Teng, Guohong Cao and T. F. La Porta, 2007, "Demo: Sensor Relocation with Mobile Sensors", Proceedings of the Fourth Annual International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MOBIQUITOUS 2007), pp. 5-8 Min Shao, Sencun Zhu, Wensheng Zhang and Guohong Cao, 2007, "pDCS: Security and Privacy Support for Data-Centric Sensor Networks", pp. 12981306 , 2007, "Proceedings of the 8th ACM Interational Symposium on Mobile Ad Hoc Networking and Computing, MobiHoc 2007, Montreal, Quebec, Canada, September 9-14, 2007", ACM Hui Song, Liang Xie, Sencun Zhu and Guohong Cao, 2007, "Sensor node compromise detection: the location perspective", pp. 242247 Jie Teng, Timothy Bolbrock, Guohong Cao and Thomas F Laporta, 2007, "Sensor Relocation with Mobile Sensors: Design, Implementation, and Evaluation", pp. 19 , 2007, "26th IEEE Symposium on Reliable Distributed Systems (SRDS 2007), Beijing, China, October 10-12, 2007", IEEE Computer Society , 2007, "4th Annual International Conference on Mobile and Ubiquitous Systems (MobiQuitous 2007), August 6-10, 2007, Philadelphia, PA, USA", IEEE Computer Society Wensheng Zhang, Minh Tran, Sencun Zhu and Guohong Cao, 2007, "A random perturbation-based scheme for pairwise key establishment in sensor networks", pp. 9099 Jie Teng, Guohong Cao and Thomas F Laporta, 2007, "Demo: Sensor Relocation with Mobile Sensors", pp. 13 Yi Yang, Xinran Wang, Sencun Zhu and Guohong Cao, 2007, "Distributed Software-based Attestation for Node Compromise Detection in Sensor Networks", pp. 219230 Yang Zhang, Jing Zhao and Guohong Cao, 2007, "On scheduling vehicle-roadside data access", pp. 918 Patrick Traynor, Heesook Choi, Guohong Cao, Sencun Zhu and Thomas F Laporta, 2006, "Establishing Pair-Wise Keys in Heterogeneous Sensor Networks" , 2006, "IEEE Wireless Communications and Networking Conference, WCNC 2006, 3-6 April 2006, Las Vegas, Nevada, USA", IEEE , 2006, "INFOCOM 2006. 25th IEEE International Conference on Computer Communications, Joint Conference of the IEEE Computer and Communications Societies, 23-29 April 2006, Barcelona, Catalunya, Spain", IEEE Patrick Traynor, Raju Kumar, Hussain Bin Saad, Guohong Cao and Thomas F Laporta, 2006, "LIGER: implementing efficient hybrid security mechanisms for heterogeneoussensor networks", pp. 1527 , 2006, "Proceedings of the 4th International Conference on Mobile Systems, Applications, and Services (MobiSys 2006), Uppsala, Sweden, June 19-22, 2006", ACM , 2006, "Proceedings of the 7th ACM Interational Symposium on Mobile Ad Hoc Networking and Computing, MobiHoc 2006, Florence, Italy, May 22-25, 2006", ACM Yi Yang, Xinran Wang, Sencun Zhu and Guohong Cao, 2006, "SDAP: : a secure hop-by-Hop data aggregation protocol for sensor networks", pp. 356367 Patrick Traynor, Guohong Cao and Thomas F Laporta, 2006, "The effects of probabilistic key management on secure routing in sensor networks", pp. 659664 Jing Zhao and Guohong Cao, 2006, "VADD: Vehicle-Assisted Data Delivery in Vehicular Ad Hoc Networks" , 2005, "25th International Conference on Distributed Computing Systems Workshops (ICDCS 2005 Workshops), 6-10 June 2005, Columbus, OH, USA", IEEE Computer Society , 2005, "2nd Annual International Conference on Mobile and Ubiquitous Systems (MobiQuitous 2005), 17-21 July 2005, San Diego, CA, USA", IEEE Computer Society Hui Song, Sencun Zhu and Guohong Cao, 2005, "Attack-resilient time synchronization for wireless sensor networks" Jiannong Cao, Yang Zhang, Li Xie and Guohong Cao, 2005, "Consistency of Cooperative Caching in Mobile Peer-to-Peer Systems over MANET", pp. 573579 Wensheng Zhang and Guohong Cao, 2005, "Defend Against Cache Consistency Attacks in Wireless Ad Hoc Networks", pp. 2232 Liangzhong Yin and Guohong Cao, 2005, "DUP: Dynamic-tree Based Update Propagation in Peer-to-Peer", pp. 258259 Wensheng Zhang and Guohong Cao, 2005, "Group rekeying for filtering false data in sensor networks: a predistribution and local collaboration-based approach", pp. 503514 , 2005, "IEEE 2nd International Conference on Mobile Adhoc and Sensor Systems, MASS 2005, November 7-10, 2005, The City Center Hotel, Washington, USA", IEEE Computer Society , 2005, "INFOCOM 2005. 24th Annual Joint Conference of the IEEE Computer and Communications Societies, 13-17 March 2005, Miami, FL, USA", IEEE Wensheng Zhang, Hui Song, Sencun Zhu and Guohong Cao, 2005, "Least privilege and privilege deprivation: towards tolerating mobile sink compromises in wireless sensor networks", pp. 378389 Heesook Choi, Hui Song, Guohong Cao and Thomas F Laporta, 2005, "Mobile multi-layered IPsec", pp. 19291939 , 2005, "Proceedings of the 21st International Conference on Data Engineering, ICDE 2005, 5-8 April 2005, Tokyo, Japan", IEEE Computer Society , 2005, "Proceedings of the 6th ACM Interational Symposium on Mobile Ad Hoc Networking and Computing, MobiHoc 2005, Urbana-Champaign, IL, USA, May 25-27, 2005", ACM Hao Zhu and Guohong Cao, 2005, "rDCF: a relay-enabled medium access control protocol for wireless ad hoc networks", pp. 1222 Guiling Wang, Guohong Cao, Thomas F Laporta and Wensheng Zhang, 2005, "Sensor relocation in mobile sensor networks", pp. 23022312 H. Choi, H. Song, Guohong Cao and T. F. La Porta, 2005, "Mobile IPsec", Proceedings of the IEEE Communications, Quality, and Reliability Workshop (CQR 2005), pp. 78-84 Guohong Cao, 2004, "Secure Cooperative Cache Based Data Access in Ad Hoc Networks", Proceedings of the International Workshop on Theoretical Aspects of Wireless Ad Hoc, Sensor and Peer-to-Peer Networks (held in conjunction with STOC 2004) , 2004, "2004 IEEE International Conference on Mobile Ad-hoc and Sensor Systems, Fort Lauderdale, FL, USA, October 25-27, 2004", IEEE Computer Society , 2004, "23rd International Symposium on Reliable Distributed Systems (SRDS 2004), 18-20 October 2004, Florianpolis, Brazil", IEEE Computer Society , 2004, "5th IEEE International Conference on Mobile Data Management (MDM 2004), 19-22 January 2004, Berkeley, CA, USA", IEEE Computer Society Hao Zhu and Guohong Cao, 2004, "A Power-Aware and QoS-Aware Service Model on Wireless Networks" Liangzhong Yin and Guohong Cao, 2004, "Balancing the Tradeoffs between Data Accessibility and Query Delay in Ad Hoc Networks", pp. 289298 Hui Song and Guohong Cao, 2004, "Cache-Miss-Initiated Prefetch in Mobile Environments", pp. 370 Wensheng Zhang, Guohong Cao and Thomas F Laporta, 2004, "Dynamic proxy tree-based data dissemination schemes for wireless sensor networks", pp. 2130 Hao Zhu, Guohong Cao, Aylin Yener and Allen D. Mathias, 2004, "EDCF-DM: a novel enhanced distributed coordination function for wireless ad hoc networks", pp. 38863890 Guiling Wang, Guohong Cao and Thomas F Laporta, 2004, "Movement-Assisted Sensor Deployment" Hao Zhu and Guohong Cao, 2004, "On Improving Service Differentiation under Bursty Data Traffic in Wireless Networks" Wensheng Zhang and Guohong Cao, 2004, "Optimizing Tree Reconfiguration for Mobile Target Tracking in Sensor Networks" Sunho Lim, Wang Lee, Guohong Cao and Chitaranjan Das, 2004, "Performance comparison of cache invalidation strategies for Internet-based mobile ad hoc networks", pp. 104113 , 2004, "Proceedings IEEE INFOCOM 2004, The 23rd Annual Joint Conference of the IEEE Computer and Communications Societies, Hong Kong, China, March 7-11, 2004", IEEE , 2004, "Proceedings of IEEE International Conference on Communications, ICC 2004, Paris, France, 20-24 June 2004", IEEE Ying Cai, Kien A. Hua and Guohong Cao, 2004, "Processing Range-Monitoring Queries on Heterogeneous Mobile Objects", pp. 2738 Guiling Wang, Guohong Cao and Thomas F Laporta, 2004, "Proxy-based sensor deployment for mobile sensor networks", pp. 493502 Liangzhong Yin and Guohong Cao, 2004, "Supporting Cooperative Caching in Ad Hoc Networks" , 2003, "11th IEEE International Conference on Network Protocols (ICNP 2003), 4-7 November 2003, Atlanta, GA, USA", IEEE Computer Society , 2003, "2003 Symposium on Applications and the Internet (SAINT 2003), 27-31 January 2003 - Orlando, FL, USA, Proceedings", IEEE Computer Society Guiling Wang, Guohong Cao and Thomas F Laporta, 2003, "A Bidding Protocol for Deploying Mobile Sensors", pp. 315 Sunho Lim, Seung-Taek Park, Wang Lee, Guohong Cao, Chitaranjan Das and Clyde L Giles, 2003, "A Caching Mechanism for Improving Internet based Mobile Ad Hoc Networks Performance" Liangzhong Yin, Guohong Cao and Ying Cai, 2003, "A Generalized Target-Driven Cache Replacement Policy for Mobile Environments", pp. 1421 Sunho Lim, Wang Lee, Guohong Cao and Chitaranjan Das, 2003, "A novel caching scheme for Internet based mobile ad hoc networks", pp. 3843 Wensheng Zhang, Guohong Cao and Thomas F Laporta, 2003, "Data Dissemination with Ring-Based Index for Wireless Sensor Networks", pp. 305314 Hao Zhu and Guohong Cao, 2003, "On improving the performance of IEEE 802.11 with multihop concepts", pp. 151156 , 2003, "Proceedings of the 12th International Conference on Computer Communications and Networks, ICCCN 2003, 20-22 October, 2003, Double Tree Lincoln Centre, Dallas, Texas, USA", IEEE , 2003, "Proceedings of the Twelfth International World Wide Web Conference - Posters, WWW 2003, Budapest, Hungary, May 20-24, 2003" W. Zhang and Guohong Cao, 2003, "Optimizing Tree Reconfiguration to Track Mobile Targets in Sensor Networks", Proceedings of the Fourth ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc 2003) W. Zhang and Guohong Cao, 2003, "An Energy Efficient Framework for Mobile Target Tracking in Sensor Networks", Proceedings of the IEEE Military Communications Conference (MILCOM 2003), pp. 597-602 W. Zhang, R. Rao, Guohong Cao and G. Kesidis, 2003, "Secure Routing in Ad Hoc Networks and a Related Intrusion Detection Problem", Proceedings of the IEEE Military Communications Conference (MILCOM 2003), pp. 735-740 G. Wang, W. Zhang, Guohong Cao and T. La Porta, 2003, "On Supporting Distributed Collaboration in Sensor Networks", Proceedings of the IEEE Military Communications Conference (MILCOM 2003), pp. 752-757 W. Zhang and Guohong Cao, 2002, "A Flexible Scatternet-wide Scheduling Algorithm for Bluetooth Networks", Proceedings of the 21st IEEE International Performance, Computing, and Communications Conference (IPCCC 2002), pp. 291-298 , 2002, "2002 IEEE Wireless Communications and Networking Conference Record, WCNC 2002, Orlando, Florida, USA, MArch 17-21, 2002", IEEE Hao Zhu, Guohong Cao, George Kesidis and Chitaranjan Das, 2002, "An adaptive power-conserving service discipline for Bluetooth", pp. 303307 Sunho Lim, Guohong Cao and Chitaranjan Das, 2002, "An admission control scheme for QoS-sensitive cellular networks", pp. 296300 , 2002, "IEEE International Conference on Communications, ICC 2002, April 28 - May 2, 2002, New York City, NY, USA", IEEE Wensheng Zhang, Hao Zhu and Guohong Cao, 2002, "Improving Bluetooth network performance through a time-slot leasing approach", pp. 592596 Liangzhong Yin, Guohong Cao, Chitaranjan Das and Ajeesh Ashraf, 2002, "Power-Aware Prefetch in Mobile Environments", pp. 571578 , 2001, "2001 International Symposium on Information Technology (ITCC 2001), 2-4 April 2001, Las Vegas, NV, USA", IEEE Computer Society , 2001, "20th Symposium on Reliable Distributed Systems (SRDS 2001), 28-31 October 2001, New Orleans, LA, USA", IEEE Computer Society , 2001, "30th International Workshops on Parallel Processing (ICPP 2001 Workshops), 3-7 September 2001, Valencia, Spain", IEEE Computer Society Sunho Lim, Guohong Cao and Chitaranjan Das, 2001, "A Differential Bandwidth Reservation Policy for Multimedia Wireless Networks", pp. 447452 Guohong Cao, Yiqiong Wu and Bo Li, 2001, "A Mixed Data Dissemination Strategy for Mobile Computing Systems", pp. 408416 , 2001, "Advances in Web-Age Information Management, Second International Conference, WAIM 2001, Xian, China, July 9-11, 2001, Proceedings", Springer, 2118 Raghuram Vadali, Jianhui Li, Yiqiong Wu and Guohong Cao, 2001, "Agent-based route optimization for mobile IP", pp. 27312735 Guohong Cao, 2001, "Distributed bandwidth management for QoS-sensitive cellular networks", pp. 792796 Guohong Cao and Chitaranjan Das, 2001, "On the Effectiveness of a Counter-Based Cache Invalidation Scheme and Its Resiliency to Failures in Mobile Environments", pp. 247256 , 2001, "Proceedings of the 10th International Conference on Computer Communications and Networks, ICCCN 2001, 15-17 October, 2001, Scottsdale, Arizona, USA", IEEE , 2001, "Proceedings of the 54th IEEE Vehicular Technology Conference, VTC Fall 2001, 7-11 October 2001, Atlantic City, New Jersey, USA", IEEE Guohong Cao and Yiqiong Wu, 2001, "Reliable Multicast Via Satellites", pp. 183 Yiqiong Wu and Guohong Cao, 2001, "Stretch-optimal scheduling for on-demand data broadcasts", pp. 500504 Guohong Cao, 2000, "Designing Efficient Fault-Tolerant Systems on Wireless Networks", Proceedings of the Third IEEE Information Survivability Workshop (ISW-2000), pp. 40-43 Guohong Cao, 2000, "A scalable low-latency cache invalidation strategy for mobile environments", pp. 200209 , 2000, "MOBICOM 2000, Proceedings of the sixth annual international conference on Mobile computing and networking, Boston, MA, USA, August 6-11, 2000", ACM Guohong Cao and Mukesh Singhal, 1999, "An adaptive distributed channel allocation strategy for mobile cellular networks", pp. 3642 Guohong Cao, Mukesh Singhal and Naphtali Rishe, 1999, "Delay-Optimal Quorum-Based Mutual Exclusion for Distributed Systems", pp. 271 Guohong Cao and Mukesh Singhal, 1999, "Distributed Fault-Tolerant Channel Allocation for Mobile Cellular Networks", pp. 584591 Guohong Cao and Mukesh Singhal, 1999, "Mutable Check-Points: A New Checkpointing Approach for Mobile Computing Systems", pp. 270 Guohong Cao, Wu-chi Feng and Mukesh Singhal, 1999, "Online VBR video traffic smoothing", pp. 502507 , 1999, "Proceedings IEEE INFOCOM 99, The Conference on Computer Communications, Eighteenth Annual Joint Conference of the IEEE Computer and Communications Societies, The Future Is Now, New York, NY, USA, March 21-25, 1999", IEEE , 1999, "Proceedings of the Eighteenth Annual ACM Symposium on Principles of Distributed Computing, PODC, 99Atlanta, Georgia, USA, May 3-6, 1999", ACM Guohong Cao and Mukesh Singhal, 1998, "Efficient Distributed Channel Allocation for Mobile Cellular Networks", pp. 5059 Guohong Cao and Mukesh Singhal, 1998, "On the Impossibility of Min-Process Non-Blocking Checkpointing and an Efficient Checkpointing Algorithm for Mobile Computing Systems", pp. 3744 Guohong Cao and Mukesh Singhal, 1998, "Low-Cost Checkpointing with Mutable Checkpoints in Mobile Computing Systems", pp. 464471 Guohong Cao, Mukesh Singhal, Yi Deng, Naphtali Rishe and Wei Sun, 1998, "A Delay-Optimal Quorum-Based Mutual Exclusion Scheme with Fault-Tolerance Capability", pp. 444451 , 1998, "1998 International Conference on Parallel Processing (ICPP 98), 10-14 August 1998, Minneapolis, Minnesota, USA, Proceedings", IEEE Computer Society Y. Yang, X. Wang, S. Zhu and Guohong Cao, , "Distributed Software-based Attestation for Node Compromise Detection in Sensor Networks", Proceedings of the Twenty-Sixth IEEE International Symposium on Reliable Distributed Systems (SRDS 2007), pp. 219-230 Manuscripts J. Zhao, W. Gao, Y. Wang and Guohong Cao, 2014, "Delay-Constrained Caching in Cognitive Radio Networks", pp. 9 W. Hu and Guohong Cao, 2014, "Energy Optimization through Traffic Aggregation in Wireless Networks", pp. 9 J. Zhao and Guohong Cao, 2014, "Spectrum-Aware Data Replication in Intermittently Connected Cognitive Radio Networks", pp. 9 W. Gao, Q. Li and Guohong Cao, 2014, "Forwarding Redundancy in Opportunistic Mobile Networks: Investigation and Elimination", pp. 9 Z. Lu, Y. Wen and Guohong Cao, 2014, "Information Diffusion in Mobile Social Networks: The Speed Perspective", pp. 9 B. Niu, Q. Li, X. Zhu, Guohong Cao and H. Li, 2014, "Achieving k-anonymity in Privacy-Aware Location-Based Services", pp. 9 W. Gao, W. Hu and Guohong Cao, 2014, "Interest-Based Data Dissemination in Opportunistic Mobile Networks: Design, Implementation and Evaluation" Q. Zheng, Guohong Cao, T. F. La Porta and A. Swami, 2014, "A Cross-Layer Approach for Minimizing Routing Disruption in IP Networks", IEEE Transactions on Parallel and Distributed Systems B. Zhao, B. Tak and Guohong Cao, 2014, "Mobile Web Browsing Using the Cloud" W. Gao, Guohong Cao, A. Iyengar and M. Srivatsa, 2014, "Cooperative Caching for Efficient Data Access in Disruption Tolerant Networks", IEEE Transactions on Mobile Computing X. Zhuo, W. Gao, Guohong Cao and S. Hua, 2014, "An Incentive Framework for Cellular Traffic Offloading", IEEE Transactions on Mobile Computing Other C. Liu and Guohong Cao, 2007, "An Energy-Efficient Fault-Tolerant Monitoring System for Wireless Sensor Networks" Guohong Cao, 2002, "Adaptive Power-Aware Cache Management for Mobile Computing Systems" Research Projects Honors and Awards Service Service to Penn State: Service to External Organizations: diff --git a/src/data/compiled_bios/1487.txt b/src/data/compiled_bios/1487.txt new file mode 100644 index 0000000000..fa0cf717b1 --- /dev/null +++ b/src/data/compiled_bios/1487.txt @@ -0,0 +1 @@ + Kyusun Choi Associate Teaching Professor Affiliation(s): School of Electrical Engineering and Computer Science Computer Science and Engineering W104 Westgate Building kxc104@psu.edu 814-863-1268 Personal or Departmental Website Research Areas: Interest Areas: Mixed-signal VLSI circuit design, RF ASICs, DSP architecture for RF signal, wireless embedded microcontroller. Education Publications Book, Chapters I. Kim, H. Kim, F. Griggio, R. L. Tutwiler, T. N. Jackson, S. Trolier-McKinstry and Kyusun Choi, 2011, Chapter 16, Portable High-Frequency Ultrasound Imaging System Design and Hardware Considerations, Taylor & Francis, pp. 337-364 Journal Articles Kyusun Choi and A. Abumurad, 2017, "Design Procedure and Selection of TIQ Comparators for Flash ADCs TIQ Comparator Generation Procedure and TIQ comparator Selection Algorithm", Circuits, Systems, and Signal Processing Sun G. Kaige, Kyusun Choi and Thomas N. Jackson, 2016, "Low-Power Double-Gate ZnO TFT Active Rectifier", IEEE Electron Device Letters, 37, (4) Suk Jin Lee, Changyong (Andrew) Jung and Kyusun Choi, 2015, "Design of wireless nanosensor networks for intrabody application", International Journal of Distributed Sensor Networks, 2015, pp. 12 M. Nguyn, I. Kim, Kyusun Choi, J. Lim, W. Choi and J. Kim, 2012, "New Multiplier for a Double-Base Number System Linked to a Flash ADC", ETRI Journal, 34, (2), pp. 256-259 J. Lim, H. Kim, T. Jackson, Kyusun Choi and D. Kenny, 2010, "An Ultra-compact and Low-power Oven-Controlled Crystal Oscillator Design for Precision Timing Applications", IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 57, (9), pp. 1906-1914 J. Lim, I. Kim, N. Minh Son, J. Yoo, J. Kim and Kyusun Choi, 2009, "Low Power Flash A/D Converter with TIQ Comparators for Multi-Standard Mobile Applications", International Review of Electrical Engineering, 4, (6) I. Kim, H. Kim, F. Griggio, R. Tutwiler, T. Jackson, S. Trolier-McKinstry and Kyusun Choi, 2009, "CMOS Ultrasound Transceiver Chip for High Resolution Ultrasonic Imaging Systems", IEEE Transactions on Biomedical Circuits and Systems, 3, (5), pp. 293-303 I. Kim, J. Yoo, J. Kim and Kyusun Choi, 2008, "Highly Efficient Comparator Design Automation for TIQ Flash A/D Converter", IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, E91-A, (12), pp. 3415-3422 I. G. Mina, H. Kim, I. Kim, S. Park, Kyusun Choi, T. Jackson, R. Tutwiler and S. Trolier-McKinstry, 2007, "High Frequency Piezoelectric MEMS Ultrasound Transducers", IEEE Transactions on Ferroelectrics and Frequency Control, 54, (12), pp. 2422-2430 J. Yoo, Kyusun Choi and D. Lee, 2003, "Comparator Generation and Selection for Highly Linear CMOS Flash Analog-to-Digital Converter", Journal of Analog Integrated Circuits and Signal Processing, 35, (2-3), pp. 179-187 Conference Proceedings A. Abdulrahman* and Kyusun Choi, 2012, "Increasing the ADC Precision with Oversampling in a Flash ADC", Proceedings of the Eleventh IEEE International Conference on Solid-State and Integrated Circuit Technology (ICSICT 2012) A. L. Bernassau, T. W. Button, Kyusun Choi, S. Cochran, C. E. M. Demore, L. Garcia-Gancedo, D. Hutson, T. N. Jackson, H. Kim, I. Kim, C. Meggs, S. Trolier-McKinstry and R. L. Tutwiler, 2009, "Operation of a High Frequency Piezoelectric Ultrasound Array with an Application Specific Integrated Circuit", Proceedings of the 2009 IEEE International Ultrasonics Symposium I. Kim, H. Kim, F. Griggio, T. N. Jackson, R. L. Tutwiler, Kyusun Choi and S. Trolier-McKinstry, 2008, "An Intetrated Ultrasound Front-end Chip for Portable High Frequency High Ultrasonic Imaging System", Proceedings of the 2008 U.S. Navy Workshop on Acoustic Transduction Materials and Devices H. Kim, F. Griggio, I. Kim, Kyusun Choi, R. L. Tutwiler, S. Trolier-McKinstry and T. N. Jackson, 2008, "Fabrication of Low-Voltage MEMS High Frequency Linear Transducer Array", Proceedings of the 2008 U.S. Navy Workshop on Acoustic Transduction Materials and Devices J. Lim, H. Kim, Kyusun Choi and T. N. Jackson, 2008, "Ultra Compact and Low Power Oven Controlled Crystal Oscillator Design for Precision Timing Applications", Proceedings of the 2008 U.S. Navy Workshop on Acoustic Transduction Materials and Devices I. Kim, H. Kim, S. Park, I. Mina, T. Jackson, S. Trolier-McKinstry, Kyusun Choi and R. Tutwiler, 2006, "A Novel Ultrasonic Imaging System with Integrated Electronics and High Frequency PZT Transducers", Proceedings of the 2006 IEEE International Ultrasonics Symposium I. Mina, S. Park, H. Kim, T. Jackson, Kyusun Choi, I. Kim, R. Tutwiler and S. Trolier-McKinstry, 2006, "High Frequency Ultrasound Transducers with Close Coupled Electronics", Proceedings of the 2006 IEEE International Ultrasonics Symposium H. Kim, J. Kim, Kyusun Choi, D. Kenny and T. Jackson, 2006, "Frame Enclosed Resonator for Miniature Oven Controlled Crystal Oscillator", 2006 IEEE International Frequency Control Symposium, pp. 491-493 J. Lim, H. Kim, Kyusun Choi, T. Jackson and D. Kenny, 2006, "Miniature Oven Controlled Crystal Oscillator on a CMOS Chip", Proceedings of the 2006 IEEE International Frequency Control Symposium (UFFC 2006), pp. 401-404 E. Shevchuk and Kyusun Choi, 2005, "Folded Cascode CMOS Mixer Design and Optimization in 70 NM Technology", Proceedings of the Forty-Eighth IEEE International Midwest Symposium on Circuits and Systems (MWSCAS 2005) S. Brown, J. Ford and Kyusun Choi, 2005, "A Single Semester Software Defined Radio Transceiver Implementation in a Xilinx Spartan-3 FPGA", Proceedings of the 2005 Software Defined Radio Technical Conference and Production Exposition (SDR '05) S. Nahata, Kyusun Choi and J. Yoo, 2004, "A High-Speed Power and Resolution Adaptive Flash Analog-to-Digital Converter", Proceedings of the IEEE International SOC Conference (SOCC 2004), pp. 33-36 H. Kim, T. Jackson, J. Lim, Kyusun Choi and D. Kenny, 2004, "Direct Mounting of Quartz Crystal on a CMOS PLL Chip", Proceedings of the 2004 IEEE International Frequency Control Symposium and Exposition, pp. 165-168 J. Yoo, Kyusun Choi and J. Ghaznavi, 2003, "Quantum Voltage Comparator for 0.07 um CMOS Flash A/D Converters", Proceedings of the IEEE Computer Society Symposium on VLSI (ISVLSI '03), pp. 280-282 J. Yoo, Kyusun Choi and J. Ghaznavi, 2003, "A 0.07 um CMOS Flash Analog-to-Digital Converter for High Speed and Low Voltage Applications", Proceedings of the Great Lakes Symposium on VLSI (GLSVLSI 2003), pp. 56-59 D. Lee, J. Yoo and Kyusun Choi, 2002, "Design Method and Automation of Comparator Generation for Flash A/D Converter", Proceedings of the Third International Symposium on Quality of Electronic Design (ISQED 2002), pp. 138-142 D. Lee, J. Yoo, Kyusun Choi and J. Ghaznavi, 2002, "Fat Tree Encoder Design for Ultra-High Speed Flash A/D Converters", Proceedings of the Forty-Fifth IEEE Midwest Symposium on Circuits and Systems (MWSCAS), pp. 87-90 J. Yoo, Kyusun Choi and A. Tangel, 2001, "1-GSPS CMOS Flash A/D Converter for System-on-Chip Applications", Proceedings of IEEE Computer Society Annual Workshop on VLSI (WVLSI 2001), pp. 135-139 J. Yoo, D. Lee, Kyusun Choi and A. Tangel, 2001, "Future-Ready Ultrafast 8bit CMOS ADC for System-on-Chip Applications", Proceedings of the IEEE International ASIC/SOC Conference, pp. 789-793 Other F. Griggio, C. E. M. Denmore, H. Kim, J. Giggliotti, Y. Qiu, T. N. Jackson, Kyusun Choi, R. L. Tutwiler, S. Cochran and S. Troiler-McKinstry, 2012, "Micromachined Diaphragm Transducers for Miniaturized Ultrasound Arrays", pp. 4 C. S. Lee, Y.-G. Lee, M.-G. Lee, B.-B. Yoo and Kyusun Choi, 2011, "Development of an Actuator Powered Membrane Vibration", pp. 1441-1442 Kyusun Choi, C. S. Lee, T. N. Jackson and S. E. Trolier-McKinstry, 2011, "Acoustic Propeller for Pill Camera Application", pp. 33 Kyusun Choi, 2010, "Sono-Pill Camera Chip", pp. 31 H. Kim, I. Kim, F. Griggio, S. Trolier-McKinstry, Kyusun Choi, R. L. Tutweiler and T. N. Jackson, 2009, "Low Voltage High-Frequency MEMS Transducer Array" F. Griggio, H. Kim, I. Kim, S. Trolier-McKinstry, T. N. Jackson, Kyusun Choi and R. L. Tutwiler, 2009, "Piezoelectric Thin Films for a High Frequency Ultrasound Transducer with Integrated Electronics" I. Kim, H. Kim, F. Grigio, T. N. Jackson, R. L. Tutweiler, Kyusun Choi and S. Trolier-McKinstry, 2009, "An Ultrasound Transceiver Chip with MEMS Transducer Array for Portable High Frequency Ultrasonic Imaging Systems" Kyusun Choi, I. Kim, T. N. Jackson, H. Kim, R. Tutwiler, F. Griggio and S. Trolier-McKinstry, 2008, "Ultrasound Pill Camera Chip" J. Lim, I. Kim, Kyusun Choi and D. Kenny, 2008, "A CMOS Cubic Voltage Generator for a Temperature Compensated Crystal Oscillator (TCXO)", pp. 550-553 Research Projects Honors and Awards Service Service to Penn State: Service to External Organizations: diff --git a/src/data/compiled_bios/1488.txt b/src/data/compiled_bios/1488.txt new file mode 100644 index 0000000000..f981f08e41 --- /dev/null +++ b/src/data/compiled_bios/1488.txt @@ -0,0 +1 @@ + Roger Christman Lecturer Affiliation(s): School of Electrical Engineering and Computer Science Computer Science and Engineering W208 Westgate Building dvl@psu.edu 814-865-7493 Research Areas: Interest Areas: System integration, design, and development; imperative language compilation. Education BS, Electrical Engineering, Penn State, 1990 MS, Computer Engineering, Penn State, 1990 Publications Research Projects Honors and Awards Service Service to Penn State: Service to External Organizations: diff --git a/src/data/compiled_bios/1489.txt b/src/data/compiled_bios/1489.txt new file mode 100644 index 0000000000..f4d3c06519 --- /dev/null +++ b/src/data/compiled_bios/1489.txt @@ -0,0 +1 @@ + Robert Collins Associate Professor Affiliation(s): School of Electrical Engineering and Computer Science Computer Science and Engineering W327 Westgate Building rtc12@psu.edu 814-863-1944 Research Areas: Data Science Education BS, Mathematics and Computer Science, University of Hartford, 1983 MS, Computer Science, University of Massachusetts, 1986 Ph D, Computer Science, University of Massachusetts, 1993 Publications Book, Chapters Zhaozheng Yin and Robert Collins, 2008, Moving Object Localization in Thermal Imagery by Forward-Backward Motion History Images, Springer London, pp. 271-291 C. Jaynes and Robert Collins, 2006, Introduction, IEEE Computer Society, pp. 1-14 Yanxi Liu, RobertT. Collins and WilliamE. Rothfus, 2000, Robust Midsagittal Plane Extraction from Coarse, Pathological 3D Images, Springer Berlin Heidelberg, pp. 83-94 C. Jaynes, Robert Collins, Y. Cheng, X. Wang, F. Stolle, A. Hanson and E. Riseman, 1996, Automatic Construction of Three-Dimensional Models of Buildings, Morgan Kaufmann, pp. 223-236 Robert Collins, Christopher O. Jaynes, Yong-qing Cheng, Xiaoguang Wang, Frank R. Stolle, Howard Schultz, Allen R. Hanson and Edward M. Riseman, 1996, The UMass Ascender System for 3D Site Model Construction, Morgan Kaufmann Publishers, pp. 209222 B. Draper, Robert Collins, J. Brolio, A. Hanson and E. Riseman, 1991, The Schema System, IEEE Computer Society Press, pp. 433-471 B. Draper, Robert Collins, J. Brolio, A. Hanson and E. Riseman, 1988, Issues in the Development of a Blackboard-Based Schema System for Image Understanding, Addison Wesley Journal Articles Minwoo Park, Jiebo Luo, Robert Collins and Yanxi Liu, 2014, "Estimating the camera direction of a geotagged image using reference images", Pattern Recognition, 47, (9), pp. 28802893 Minwoo Park, Jiebo Luo, Robert Collins and Yanxi Liu, 2014, "Estimating the camera direction of a geotagged image using referenceimages", Pattern Recognition, 47, (9), pp. 28802893 Richard B Ruback, Robert Collins, Sarah Koon-Magnin, Weina Ge, Luke Bonkiewicz and Clifford E. Lutz, 2013, "People Transitioning Across Places: A Multimethod Investigation of How People Go to Football Games", Environment and Behavior, 45, (2), pp. 239-266 Weina Ge, Robert Collins and Barry Ruback, 2012, "Vision-Based Analysis of Small Groups in Pedestrian Crowds", IEEE Transactions on Pattern Analysis and Machine Intelligence, 34, (5), pp. 10031016 W. Ge*, Robert Collins and B. Ruback, 2012, "Vision-based Analysis of Small Groups in Pedestrian Crowds", IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 34, (5), pp. 1003-1016 Evens Jean, Ingmar Rauschert, Robert Collins, Ali R. Hurson, Sahra Sedigh and Yu Jiao, 2011, "RISN: An Efficient Sensor Network Overlay with Support for Autonomousand Distributed Applications", International Journal of Communications, Network and System Sciences, 4, (1), pp. 116 W. Ge and Robert Collins, 2010, "Crowd Density Analysis with Marked Point Processings [Applications Corner]", Signal Processing Magazine, 27, (5), pp. 107-111 Minwoo Park, Kyle Brocklehurst, Robert Collins and Yanxi Liu, 2009, "Deformed Lattice Detection in Real-World Images Using Mean-Shift BeliefPropagation", IEEE Transactions on Pattern Analysis and Machine Learning (PAMI), Special Issue on Probabilistic Graphical Models, 31, (10), pp. 18041816 Minwoo Park, Kyle Brocklehurst, Robert Collins and Yanxi Liu, 2009, "Deformed Lattice Detection in Real-World Images Using Mean-Shift Belief Propagation", IEEE Transactions on Pattern Analysis and Machine Learning (PAMI), Special Issue on Probabilistic Graphical Models, 31, (10), pp. 18041816 Zhaozheng Yin and Robert Collins, 2009, "Shape constrained figure-ground segmentation and tracking", IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2009, Miami, FL, pp. 731-738 Hulya Yalcin, Robert Collins and Martial Hebert, 2007, "Background estimation under rapid gain change in thermal imagery", Computer Vision and Image Understanding, 106, (2-3), pp. 148161 Ervina Widjaja, Nai-Chi Liu, Mingfeng Li, Robert Collins, Osman A. Basaran and Michael T. Harris, 2007, "Dynamics of sessile droplet evaporation: A comparison of the spine and the elliptic mesh generation methods", Computers & Chemical Engineering, 31, (3), pp. 219232 Robert Collins, Yanxi Liu and M. Leordeanu, 2005, "On-Line Selection of Discriminative Tracking Features", 27, (10), pp. 1631-1643 Robert Collins, Yanxi Liu and Marius Leordeanu, 2005, "Online Selection of Discriminative Tracking Features", IEEE Transaction on Pattern Analysis and Machine Intelligence, 27, (10), pp. 16311643 Sundar Vedula, Simon Baker, Peter Rander, Robert Collins and Takeo Kanade, 2005, "Three-Dimensional Scene Flow", IEEE Transactions on Pattern Analysis and Machine Intelligence, 27, (3), pp. 475480 Yanxi Liu, Robert Collins and Yanghai Tsin, 2004, "A Computational Model for Periodic Pattern Perception Based on Friezeand Wallpaper Groups", IEEE Journal on Pattern Analysis and Machine Intelligence, 26, (3), pp. 354371 Y. Liu, Robert Collins and Y. Tsin, 2004, "A Computational Model for Periodic Pattern Perception Based on Frieze and Wallpaper Groups", IEEE Journal on Pattern Analysis and Machine Intelligence (PAMI), 26, (3), pp. 354-371 Yanxi Liu, Robert Collins and Yanghai Tsin, 2003, "A Computational Model for Periodic Pattern Perception Based on Friezeand Wallpaper Groups", IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 26, (3), pp. 354371 Yong-Qing Cheng, Robert Collins, Xiaoguang Wang, Edward M. Riseman and Allen R. Hanson, 2002, "Three-Dimensional Reconstruction of Points and Lines with UnknownCorrespondence", International Journal of Computer Vision, 47, (1-3), pp. 289 Yong-Qing Cheng, Robert Collins, Xiaoguang Wang, Edward M. Riseman and Allen R. Hanson, 2001, "Three-Dimensional Reconstruction of Points and Lines with UnknownCorrespondence", International Journal of Computer Vision, 47, (1-3), pp. 289 Robert Collins, A.J. Lipton, H. Fujiyoshi and T. Kanade, 2001, "Algorithms for cooperative multisensor surveillance", Proceedings of the IEEE, Special Issue on Video Communications, Processing and Understanding for Third Generation Surveillance Systems, 89, (10), pp. 1456-1477 Yanxi Liu, Robert Collins and William E. Rothfus, 2001, "Robust Midsagittal Plane Extraction from Normal and Pathological 3D Neuroradiology Images", IEEE Transactions on Medical Imaging, 20, (3), pp. 175192 Y. Q. Cheng, X. G. Wang, Robert Collins, E. Riseman and A. Hanson, 2001, "Three-Dimensional Reconstruction of Points and Lines with Unknown Correspondence Across Images", International Journal of Computer Vision (IJCV), 45, (2), pp. 129-156 Robert Collins, Christophe Biernacki, Gilles Celeux, Alan J. Lipton, Grard Govaert and Takeo Kanade, 2000, "Introduction to the Special Section on Video Surveillance", IEEE Trans. Pattern Anal. Mach. Intell., 22, (8), pp. 745746 Robert Collins, Christopher O. Jaynes, Yong-Qing Cheng, Xiaoguang Wang, Frank Stolle, Edward M. Riseman and Allen R. Hanson, 1998, "The Ascender System: Automated Site Modeling from Multiple Aerial Images", Computer Vision and Image Understanding, 72, (2), pp. 143162 Robert Collins, Christopher O. Jaynes, Yong-Qing Cheng, Xiaoguang Wang, Frank Stolle, Edward M. Riseman and Allen R. Hanson, 1998, "The Ascender System: Automated Site Modeling from Multiple AerialImages", Computer Vision and Image Understanding, 72, (2), pp. 143162 Robert Collins, 1997, "On the Adequacy of Projective Camera Models", Computer Vision, Graphics and Image Processing : Image Understanding, 65, (3), pp. 434-435 Robert Collins, 1997, "Reply to Pizlo, Rosenfeld, and Weiss", Computer Vision and Image Understanding, 65, (3), pp. 434435 Bruce A. Draper, Robert Collins, John Brolio, Allen R. Hanson and Edward M. Riseman, 1989, "The schema system", International Journal of Computer Vision, 2, (3), pp. 209250 Conference Proceedings Jesse Scott, Robert Collins, Christopher Funk and Yanxi Liu, 2017, "4D Model-based Spatiotemporal Alignment of Scripted Taiji Quan Sequences", pp. 795-804 P. Carr and Robert Collins, 2016, "Assessing tracking performance in complex scenarios using mean time between failures", Institute of Electrical and Electronics Engineers Inc. Michael C Wolff, Robert Collins and Y. Liu, 2016, "Regularity-driven building facade matching between aerial and street views", IEEE Computer Society, 2016 Robert Collins and Peter Carr, 2014, "Hybrid Stochastic / Deterministic Optimization for Tracking SportsPlayers and Pedestrians", Springer, 8690, pp. 298313 Chen-Ping Yu, Guilherme C. S. Ruppert, Robert Collins, Dan T. D. Nguyen, Alexandre X. Falcao and Yanxi Liu, 2014, "3D blob based brain tumor detection and segmentation in MR images", IEEE, pp. 11921197 Sitapa Rujikietgumjorn and Robert Collins, 2013, "Optimized Pedestrian Detection for Multiple and Occluded People", IEEE, pp. 36903697 Asad A. Butt and Robert Collins, 2013, "Multi-target Tracking by Lagrangian Relaxation to Min-cost Network Flow", IEEE, pp. 18461853 Jingchen Liu, Peter Carr, Robert Collins and Yanxi Liu, 2013, "Tracking Sports Players with Context-Conditioned Motion Models", IEEE, pp. 18301837 Jingchen Liu, Robert Collins and Yanxi Liu, 2013, "Robust autocalibration for a surveillance camera network", IEEE Computer Society, pp. 433440 Asad A. Butt and Robert Collins, 2012, "Multiple Target Tracking Using Frame Triplets", Springer, 7726, pp. 163176 Ingmar Rauschert and Robert Collins, 2012, "A Generative Model for Simultaneous Estimation of Human Body Shapeand Pixel-Level Segmentation", Springer, 7576, pp. 704717 Robert Collins, 2012, "Multitarget data association with higher-order motion models", IEEE Computer Society, pp. 17441751 J. Liu, Robert Collins and Yanxi Liu, 2011, "Automated Surveillance Calibration Based on Pedestrian Height Distributions", pp. 117.1-117.11 Jingchen Liu, Robert Collins and Yanxi Liu, 2011, "Automatic Surveillance Camera Calibration without Pedestrian Tracking", BMVA Press, pp. 111 Evens Jean, Robert Collins, Ali R. Hurson, Sahra Sedigh and Yu Jiao, 2010, "RISN: An Efficient, Dynamically Tasked and Interoperable SensorNetwork Overlay", IEEE, pp. 224231 Minwoo Park, Kyle Brocklehurst, Robert Collins and Yanxi Liu, 2010, "Image De-fencing Revisited", Springer, 6495, pp. 422434 Minwoo Park, Kyle Brocklehurst, Robert Collins and Yanxi Liu, 2010, "Translation-Symmetry-Based Perceptual Grouping with Applications to Urban Scenes", Springer, 6494, pp. 329342 Minwoo Park, Jiebo Luo, Robert Collins and Yanxi Liu, 2010, "Beyond GPS: determining the camera viewing direction of a geotagged image", ACM, pp. 631634 Weina Ge and Robert Collins, 2010, "Crowd Detection with a Multiview Sampler", Springer, 6315, pp. 324337 Minwoo Park, Somesh Kashyap, Robert Collins and Yanxi Liu, 2010, "Data driven mean-shift belief propagation for non-gaussian MRFs", IEEE Computer Society, pp. 35473554 Aditi Rathi, Michael Vincent Debole, Weina Ge, Robert Collins and Narayanan Vijaykrishnan, 2010, "A GPU based implementation of Center-Surround Distribution Distance for feature extraction and matching", IEEE, pp. 172177 Weina Ge and Robert Collins, 2009, "Evaluation of sampling-based pedestrian detection for crowd counting", pp. 1-7 Weina Ge, Robert Collins and B. Ruback, 2009, "Automatically detecting the small group structure of a crowd", pp. 1-8 Zhaozheng Yin and Robert Collins, 2009, "Shape constrained figure-ground segmentation and tracking", pp. 731-738 W. Ge and Robert Collins, 2009, "Marked point processes for crowd counting", pp. 2913-2920 Robert Collins and Weina Ge, 2008, "CSDD Features: Center-Surround Distribution Distance for Feature Extraction and Matching", Springer Berlin Heidelberg, 5304, pp. 140-153 Minwoo Park, Robert Collins and Yanxi Liu, 2008, "Deformed Lattice Discovery Via Efficient Mean-Shift Belief Propagation", Springer-Verlag, 5304, (2), pp. 474-485 Weina Ge and Robert Collins, 2008, "Multi-target Data Association by Tracklets with Unsupervised Parameter Estimation", pp. 935-944 Z. Yin and Robert Collins, 2008, "Online Figure-Ground Segmentation with Edge Pixel Classification", pp. 10 Seungkyu Lee, Robert Collins and Yanxi Liu, 2008, "Rotation Symmetry Group Detection Via Frequency Analysis of Frieze-Expansions", pp. 8 Minwoo Park, Yanxi Liu and Robert Collins, 2008, "Efficient mean shift belief propagation for vision tracking", IEEE Computer Society, pp. 8 Zhaozheng Yin and Robert Collins, 2008, "Object tracking and detection after occlusion via numerical hybridlocal and global mode-seeking", IEEE Computer Society, pp. 8 Zhaozheng Yin, Fatih Porikli and Robert Collins, 2008, "Likelihood Map Fusion for Visual Object Tracking", IEEE Computer Society, pp. 17 Zhaozheng Yin and Robert Collins, 2007, "Belief Propagation in a 3D Spatio-temporal MRF for Moving Object Detection", IEEE Computer Society Zhaozheng Yin and Robert Collins, 2007, "On-the-fly Object Modeling while Tracking", IEEE Computer Society Seungkyu Lee, Yanxi Liu and Robert Collins, 2007, "Shape Variation-Based Frieze Pattern for Robust Gait Recognition", IEEE Computer Society Zhaozheng Yin and Robert Collins, 2006, "Moving Object Localization in Thermal Imagery by Forward-backward MHI", IEEE Computer Society, Los Alamitos, CA, USA, pp. 8 Jiayong Zhang, Jiebo Luo, Robert Collins and Yanxi Liu, 2006, "Body Localization in Still Images Using Hierarchical Models and Hybrid Search", IEEE Computer Society, pp. 15361543 Zhaozheng Yin and Robert Collins, 2006, "Spatial Divide and Conquer with Motion Cues for Tracking through Clutter", IEEE Computer Society, pp. 570577 Jiayong Zhang, Robert Collins and Yanxi Liu, 2005, "Bayesian Body Localization Using Mixture of Nonlinear Shape Models", pp. 725732 David Tolliver, Gary L. Miller and Robert Collins, 2005, "Corrected Laplacians: Closer Cuts and Segmentation with Shape Priors", pp. 9298 Hulya Yalcin, Martial Hebert, Robert Collins and Michael J. Black, 2005, "A Flow-Based Approach to Vehicle Detection and Background Mosaickingin Airborne Video", pp. 1202 Marius Leordeanu and Robert Collins, 2005, "Unsupervised Learning of Object Features from Video Sequences", pp. 11421149 Hulya Yalcin, Robert Collins and Martial Hebert, 2005, "Background Estimation under Rapid Gain Change in Thermal Imagery", pp. 1-8 David Tolliver, Robert Collins and Simon Baker, 2005, "Multilevel Spectral Partitioning for Efficient Image Segmentation and Tracking", pp. 414420 Robert Collins, Xuhui Zhou and Seng Keat Teh, 2005, "An Open Source Tracking Testbed and Evaluation Web Site", pp. 16-24 , 2005, "7th IEEE Workshop on Applications of Computer Vision / IEEE Workshop on Motion and Video Computing (WACV/MOTION 2005), 5-7 January 2005, Breckenridge, CO, USA", IEEE Computer Society Jiang Gao, Robert Collins, Alexander G. Hauptmann and Howard D. Wactlar, 2004, "Articulated Motion Modeling for Activity Analysis", pp. 2123 Jiayong Zhang, Robert Collins and Yanxi Liu, 2004, "Representation and Matching of Articulated Shapes", pp. 342349 Xuhui Zhou, Robert Collins, Takeo Kanade and Peter Metes, 2003, "A master-slave system to acquire biometric imagery of humans at distance", ACM Press, pp. 113120 Robert Collins and Yanxi Liu, 2003, "On-Line Selection of Discriminative Tracking Features", pp. 346352 David Tolliver and Robert Collins, 2003, "Gait Shape Estimation for Identification", pp. 734742 Robert Collins, 2003, "Mean-shift Blob Tracking through Scale Space", pp. 234240 Robert Collins, Omead Amidi and Takeo Kanade, 2002, "An active camera system for acquiring multi-view video", pp. 527520 Yanxi Liu, Robert Collins and Yanghai Tsin, 2002, "Gait Sequence Analysis Using Frieze Patterns", pp. 657671 Robert Collins, Ralph Gross and Jianbo Shi, 2002, "Silhouette-Based Human Identification from Body Shape and Gait", pp. 366371 Yanghai Tsin, Robert Collins, Visvanathan Ramesh and Takeo Kanade, 2001, "Bayesian Color Constancy for Outdoor Object Recognition", pp. 11321139 Yanxi Liu and Robert Collins, 2001, "Skewed Symmetry Groups", pp. 872879 Yanxi Liu, Robert Collins and Yanghai Tsin, 2001, "Gait Sequence Analysis Using Frieze Patterns" Yanxi Liu, Robert Collins and William E. Rothfus, 2000, "Robust Midsagittal Plane Extraction from Coarse, Pathological 3D Images", Springer Berlin Heidelberg, 1935, pp. 83-94 Yanxi Liu and Robert Collins, 2000, "Periodic Pattern Analysis under Affine Distortions Using WallpaperGroups", pp. 241250 Yanxi Liu and Robert Collins, 2000, "A Computational Model for Repeated Pattern Perception Using Friezeand Wallpaper Groups", pp. 15371544 Y. Liu, Robert Collins and W. E. Rothfus, 2000, "Evaluation of a Robust Midsagittal Plane Extraction Algorithm for Coarse, Pathological 3D Images", Proceedings of International Conference of Medical Image Computing and Computer Assisted Intervention (MICCAI 2000), pp. 83-94 Sundar Vedula, Simon Baker, Peter Rander, Robert Collins and Takeo Kanade, 1999, "Three-Dimensional Scene Flow", pp. 722729 F. Dellaert and Robert Collins, 1999, "Fast Image-Based Tracking by Selective Pixel Integration" Robert Collins and Yanghai Tsin, 1999, "Calibration of an Outdoor Active Camera System", pp. 15281534 Robert Collins, 1997, "Multi-Image Focus of Attention for Rapid Site Model Construction", pp. 575581 Xiaoguang Wang, Yong-Qing Cheng, Robert Collins and Allen R. Hanson, 1996, "Determining Correspondences and Rigid Motion of 3-D Point Sets with Missing Data", pp. 252257 Robert Collins, 1996, "A Space-Sweep Approach to True Multi-Image Matching", pp. 358363 Xiaoguang Wang, Yong-Qing Cheng, Robert Collins and Allen R. Hanson, 1996, "Determining Correspondences and Rigid Motion of 3-D Point Sets withMissing Data", pp. 252257 Xiaoguang Wang, Jonathan Lim, Robert Collins and Allen R. Hanson, 1996, "Automated Texture Extraction from Multiple Images to Support Site Model Refinement and Visualization", pp. 399408 Robert Collins, Yong-Qing Cheng, Christopher O. Jaynes, Frank Stolle, Xiaoguang Wang, Allen R. Hanson and Edward M. Riseman, 1995, "Site Model Acquisition and Extension from Aerial Images", pp. 888893 Christopher O. Jaynes, Frank Stolle and Robert Collins, 1994, "Task driven perceptual organization for extraction of rooftop polygons", pp. 152159 Robert Collins and J. Ross Beveridge, 1993, "Matching perspective views of coplanar structures using projective unwarping and similarity matching", pp. 240245 Robert Collins, 1992, "Single plane model extension using projective transformations and data fusion", pp. 752-754 Robert Collins and Richard S. Weiss, 1990, "Vanishing point calculation as a statistical inference on the unitsphere", pp. 400403 Robert Collins and R. Weiss, 1989, "An Efficient and Accurate Method for Computing Vanishing Points", Optical Society of America, Washington, D.C, 14, pp. 92-94 B.A. Draper, J. Brolio, Robert Collins, A.R. Hanson and E.M. Riseman, 1988, "Image interpretation by distributed cooperative processes", pp. 129-135 Magazines/Trade Publications Weina Ge and Robert Collins, 2010, "Crowd Density Analysis with Marked Point Processings [Applications Corner]", 27, (5), pp. 107-111 Technical Reports B. McPheron, V. Crespi, Robert Collins and Yanxi Liu, 2014, "Automatic Detection of Exploding Aggregates in a Colloidal Suspension" M. Park, K. Brocklehurst, Robert Collins and Yanxi Liu, 2010, "Translation Symmetry-based Perceptual Grouping for Urban Scene Understanding" Z. Yin and Robert Collins, 2005, "Spatial Divide and Conquer with Motion for Tracking" Robert Collins and Yanxi Liu, 2003, "On-Line Selection of Discriminative Tracking Features" Yanxi Liu, Robert Collins and Y. Tsin, 2001, "Gait Sequence Analysis Using Frieze Patterns" Robert Collins, A. Lipton, T. Kanade, H. Fujiyoshi, D. Duggins, Y. Tsin, D. Tolliver, N. Enomoto and O. Hasegawa, 2000, "A System for Video Surveillance and Monitoring: VSAM Final Report" Yanxi Liu and Robert Collins, 2000, "A Computational Model for Repeated Pattern Perception Using Frieze and Wallpaper Groups" Yanxi Liu and Robert Collins, 1998, "Frieze and Wallpaper Symmetry Groups Classification Under Affine and Perspective Distortion" Yanxi Liu, Robert Collins and W. E. Rothfus, 1996, "Automatic Extraction of the Central Symmetry (Mid-Sagittal) Plane from Pathological Neuroradiology Images", Technical Report CMU RI-96-40, Robotics Institute, Carnegie Mellon University Research Projects Honors and Awards Service Service to Penn State: Service to External Organizations: diff --git a/src/data/compiled_bios/149.txt b/src/data/compiled_bios/149.txt new file mode 100644 index 0000000000..1baafb7118 --- /dev/null +++ b/src/data/compiled_bios/149.txt @@ -0,0 +1 @@ + People > Faculty Scott Hauck Scott Hauck Gaetano Borriello Professor for Educational Excellence VLSI and Digital Systems 307Q EEB Box 352500 University of Washington Seattle, WA 98195 Phone: (206) 412-1523 E-mail: hauck@ee.washington.edu University of Washington, CSE, 1995 Ph.D., 1992 MS University of California-Berkeley, EECS, 1990 B.S. [ Biosketch ] [ Honors ] [ Research Interests ] [ Selected Publications ] [ Patents ] [ Current Grad Students ] [ Teaching ] Biosketch Pictorial Biography Publications Curriculum Vitae Family Photo Album He is a Professor at the University of Washington's Department of Electrical & Computer Engineering , in the Embedded Systems and VLSI group, and an Adjunct in the Department of Computer Science and Engineering . His work is focused around FPGAs, chips that can be programmed and reprogrammed to implement complex digital logic. His interests are the application of FPGA technology to situations that can make use of their novel features: high-performance computing, reconfigurable subsystems for system-on-a-chip, computer architecture education, hyperspectral image compression, and other areas. His work encompasses VLSI, CAD, and applications of these devices. He is editor (with Andre' DeHon) of a book on reconfigurable computing: Scott Hauck, Andre' DeHon (editors), Reconfigurable Computing: The Theory and Practice of FPGA-Based Computation" , Morgan Kaufmann/Elsevier, 2008. In 2010 he won the University of Washington Distinguished Teaching Award . He is the director of the Adaptive Computing Machines and Emulators Lab. Honors 2015 Gaetano Borriello Professorship for Educational Excellence. IEEE Fellow, 2015, for contributions to Field-Programmable Gate Array based systems. FCCM20: Highlights of the First Twenty Years of the IEEE Symposium on Field-Programmable Custom Computing Machines , 2013. 4 of 25 papers in this volume - most of any author: S. Hauck, T. W. Fry, M. M. Hosler, J. P. Kao, "The Chimaera Reconfigurable Functional Unit", IEEE Symposium on FPGAs for Custom Computing Machines , pp. 87-96, 1997. S. Hauck, Z. Li, E. J. Schwabe, "Configuration Compression for the Xilinx XC6200 FPGA", IEEE Symposium on FPGAs for Custom Computing Machines , pp. 138-146, 1998. Z. Li, K. Compton, S. Hauck, "Configuration Cache Management Techniques for FPGAs", IEEE Symposium on FPGAs for Custom Computing Machines , pp. 22-36, 2000. P. Banerjee, N. Shenoy, A. Choudhary, S. Hauck, C. Bachmann, M. Haldar, P. Joisha, A. Jones, A. Kanhare, A. Nayak, S. Periyacheri, M. Walkden, D. Zaretsky, "A MATLAB Compiler for Distributed, Heterogeneous, Reconfigurable Computing Systems", IEEE Symposium on FPGAs for Custom Computing Machines , pp. 39-48, 2000. IEEE Symposium on Field-Programmable Custom Computing Machines, Best Paper Award, 2012 2011 U.W. Dept. of Electrical Engineering Faculty Service Award 2010 University of Washington Distinguished Teaching Award 2009 College of Engineering Faculty Innovator: Teaching & Learning Finalist, U.W. Distinguished Teaching Award, 2008 Best Paper Award, Microelectronic Systems Education Conference, 2007. Elixent, Inc. S.O.A.P.-Star: Spot On Award Program (employee achievement award), 2006. Alfred P. Sloan Research Fellow (2001) U.W. EE Department's Outstanding Research Advisor Award 2001 Senior Member, ACM (2009) Senior Member, IEEE (2001) June and Donald Brewer Junior Professorship, (Northwestern chair, given up in move to U.W.) 1999-2001 NSF CAREER award (1999) 1999 IEEE Circuits and Systems Society Transactions on VLSI Systems Best Paper Award Northwestern University, ECE Department's Best Teacher of 1998/99 AT&T Bell Laboratories Graduate Fellowship National Merit Finalist Nominated, U.W. College of Engineering Faculty Innovator for Teaching, 2007, 2008, 2009. Nominated, U.W. Distinguished Teaching Award, 2004, 2007, 2008, 2009 Nominated, U.W. College of Engineering Outstanding Faculty Member, 2004 Nominated, U.W. EE Department's Faculty Service Award, 2004 Nominated, U.W. EE Department's Outstanding Research Advisor Award 2003, 2004, 2008, 2009 Nominated, U.W. EE Department's Teaching Award 2001, 2003, 2007 Honors to students/advisees College of Engineering Community Innovators Teaching Assistant Innovator Award to Ken Eguro (2008) Department of Electrical Engineering Graduate Teaching Award to Ken Eguro (2007) Yang Research Award to Akshay Sharma (2005), Mike Haselman (2010). Mary Gates Endowment for Students research training grant to Henry Lee (2003) Intel Fellowship to Mark Chang (2002) Lincoln Labs Fellowship to Shawn Phillips (2002) Cabell Thesis Year Fellowship to Katherine Compton (2002) U.W. EE Department's Outstanding Research Assistant Award to Mark Chang (2001-2002) National Science Foundation Fellowships to Katherine Compton (1998), Mark Holland (2001), Nathaniel McVicar (2011) 1999 Motorola UPR Best Paper Award (to student Katherine Compton) National Science Foundation Fellowship Honorable Mention to Michael Beauchamp (2003 & 2004), Nathaniel McVicar (2010) Research Interests Reconfigurable Subsystems for System-on-a-Chip; FPGA Architectures, CAD tools, Compilers, and Applications; VLSI Design & CAD. Research Projects Bioaccelerators Development of high-speed genome resequencing and related bioinformatics/genomics algorithms on reconfigurable logic. Large Hadron Collider Electronics Ongoing development efforts on FPGA-based detector electronics for the Large Hadron Collider at CERN in Europe. This includes efforts on the RD53A emulator. Cochlear Implants Prototyping Environment Creation of an FPGA-based link between cellphones and cochlear implants to allow the development and long-term testing of new signal processing algorithms to aid in the hearing of people with cochlear implants. Mosaic: Coarse-grained reconfigurable arrays Creation of power-efficient programmable fabrics and CAD flows using ALU-based computation units, heavily pipelined bus-based interconnects, and time-multiplexing. Selected Publications (Surveys and introductory articles for a general audience) Full list of publications S. Hauck, A. DeHon (editors), Reconfigurable Computing: The Theory and Practice of FPGA-Based Computation" , Morgan Kaufmann/Elsevier, 2008. S. Hauck, "Asynchronous Design Methodologies: An Overview" (PDF) , Proceedings of the IEEE , Vol. 83, No. 1, pp. 69-93, January, 1995. S. Hauck, "The Roles of FPGAs in Reprogrammable Systems" (PDF) , Proceedings of the IEEE , Vol. 86, No. 4, pp. 615-638, April, 1998. S. Hauck, "The Future of Reconfigurable Systems" (PDF) , Keynote Address, 5th Canadian Conference on Field Programmable Devices , Montreal, June 1998. S. Hauck, A. Agarwal, "Software Technologies for Reconfigurable Systems" (PDF) , Northwestern University, Dept. of ECE Technical Report, 1996. K. Compton, S. Hauck, "Reconfigurable Computing: A Survey of Systems and Software" (PDF) , ACM Computing Surveys , Vol. 34, No. 2. pp. 171-210. June 2002. S. Hauck, K. Compton, K. Eguro, M. Holland, S. Phillips, A. Sharma, "Totem: Domain-Specific Reconfigurable Logic" , 2006. M. Haselman, S. Hauck, "The Future of Integrated Circuits: A Survey of Nano-electronics" , Proceedings of the IEEE , Vol. 98, No. 1, pp. 11-38, January 2010. Current Graduate Students Richa Rao (M.S. expected Spring '20) FPGA Support for the Large Hadron Collider. Douglas Smith (M.S. expected Spring '19) Hardware Emulation of the RD53A Chip for the Large Hadron Collider. Dustin Werren (M.S. expected Winter '19) FPGA Support for the Large Hadron Collider. Former Graduate Students Morgan Enos, M.S., "Replication for Logic Partitioning", September 1996. Consultant. Oliver Stone, M.S., "A Comparison of ASIC Implementation Alternatives", October 1996. Joined Digital Equipment Corp. Matt Hosler, M.S., "High-Performance Carry Chains for FPGAs", October 1997. Joined Motorola, then Arrow Electronics. Guangyu Gu, M.S., "Accelerating Photoshop Applications with Reconfigurable Hardware", May 1999. Joined United Airlines, then Microsoft. Venkatesh Karnam, M.S., "Applications of Reconfigurable Logic", March 2000. Joined Yahoo. Thomas Fry, M.S., "Hyperspectral Image Compression on Reconfigurable Platforms", June 2001. Joined IBM, then went for MBA. Melany Richmond, M.S., "A Lemple-Ziv based Configuration Management Architecture for Reconfigurable Computing", July 2001. Joined Quicksilver, then Zilog, then Cypress. Chandra Mulpuri, M.S., "Runtime and Quality Tradeoffs in FPGA Placement and Routing", July 2001. Joined NEC, then Velogix, then Xilinx. Zhiyuan Li, Ph.D., "Configuration Management for Reconfigurable Systems", November 2001. Joined Motorola. Katherine Compton , M.S., "Programming Architectures for Run-Time Reconfigurable Systems", Fall 1999. Ph.D. "Architecture Generation of Customized Reconfigurable Hardware", September 2003. Faculty at University of Wisconsin - Madison. Todd Owen, M.S. "FPGA Implementation of Error Correction and Improved SPIHT Compression for NASA Hyperspectral Images", June 2003. Joined Intel. Kimberly Motonaga, M.S. "Encryption RaPiD: A Comparison of Custom and Standard-Cell Designs", December 2003. Joined Boeing. Brigette Huang, M.S. 2D FPGA Layout, 2004. Joined Microsoft. Mark Chang, M.S., "Adaptive Computing in NASA Multi-Spectral Image Processing", 1999. Ph.D., "Variable Precision Analysis for FPGA Synthesis", 2004. Faculty at Olin College, then EdX, then Google. Shawn Phillips, M.S. "Automatic Layout of Domain Specific Reconfigurable Subsystems for System-on-a-Chip", 2001. Ph.D. "Automating Layout of Reconfigurable Subsystems for Systems-on-a-Chip", 2004. Joined Annapolis Microsystems, then Johns Hopkins University - Applied Physics Lab. Akshay Sharma, M.S. "Development of a Place and Route Tool for the RaPiD Architecture". Ph.D. "Place and Route Techniques for FPGA Architecture Advancement", 2005. Joined Actel, then Lecturer at the University of Washington, then Sun/Oracle. Mark Holland, M.S. "Harnessing FPGAs for Computer Architecture Education, 2002. Ph.D. Automatic Creation of Product-Term-Based Reconfigurable Architectures for System-on-a-Chip, June 2005. Joined Annapolis Microsystems. Mike Beauchamp, M.S. "Architectural Modifications to Enhance the Floating-Point Performance of FPGAs", August 2006. Joined MIPS. Peter Grossman, M.S. "Architecture-Adaptive FPGA Placment", December 2006. Joined MIT Lincoln Labs. Don DeWitt, M.S. "An FPGA Implementation of Statistical Based Positioning for Positron Emission Tomography", June 2008. Contractor with U.W. Dept. of Radiology. Allan Carroll, M.S. "Characterizing the Quality of QuickRoute, A Heuristic Pipeline Router", Summer 2008. Joined FamilyLink.com. Ken Eguro, M.S. "Encryption-Specific FPGA Architectures", Fall 2002. Ph.D. "Supporting High-Performance Pipelined Computation in Commodity-Style FPGAs", November 2008. Joined Microsoft Research. Nikhil Subramanian, M.S. "A C-to-FPGA Solution for Accelerating Tomographic Reconstruction", Spring 2009. Joined Microsoft. Nathan Johnson-Williams, M.S. "Design of a Real Time FPGA-based Three Dimensional Positioning Algorithm", Fall 2009. Joined Sandia National Labs, then Aerospace Corp, then New Wave Design and Verification. Ziyuan Zhang, M.S. Winter 2010. Joined Bonneville Power Administration. Jimmy Xu, M.S. Winter 2010. Joined Apple. Ben Ylvisaker, Ph.D. Autumn 2011. Joined Grammatech Inc, then Swarthmore College, then Colorado College. Brian Van Essen, Ph.D. Autumn 2011. Joined Lawrence Livermore National Labs. Adam Knight, M.S. "Multi-Kernel Macah Support and Applications", Autumn 2011. Joined Intel. Abhishek Raja, M.S. Autumn 2011. Joined AMD. Mike Haselman, M.S. "Bitwidth Analysis of Floating-Point Computations for FPGA Implementations", Spring 2005. Ph.D. "FPGA-Based Pulse Processing for Positron Emission Tomography", Spring 2011. Joined Sandia National Labs, then Microsoft. Corey Olson, M.S. "An FPGA Acceleration of Short Read Human Genome Mapping", Spring 2011. Joined Pico Computing. Maria Kim, M.S. "Accelerating Next Generation Genome Reassembly in FPGAs: Alignment Using Dynamic Programming Algorithms", Spring 2011. Joined ITT Tech, then Boeing. Stephen Friedman, Ph.D. "Resource Sharing in Modulo-Scheduled Reconfigurable Architectures", Summer 2011. Joined Pixar. James Pasko, M.S. Winter 2011. Joined Google. Andrew Price, M.S. "Hephaestus: Solving the Heterogeneous, Highly Constrained Analog Placement Problem", Winter 2012. Joined Cypress. Marshal Barrett, M.S. Winter 2013. Joined Garmin. Shaw-Pin "Bing" Chen, M.S. "Readout Driver Firmware Development for the ATLAS Insertable B-Layer", Spring 2014. Joined Ario. Joseph Mayer, M.S. "Three Generations of FPGA DAQ Development for the ATLAS Pixel Detector", Spring 2016. Joined Wolverine Trading. Arushi Sonkhya, M.S. Spring 2016. Joined Philips HealthTech. Aaron Wood, Ph.D. i"Offset Pipelining for Coarse Grain Reconfigurable Arrays", Winter 2017. Joined Synopsys. Logan Adams, M.S. Spring 2017. Joined Microsoft. Lev Kurilenko, M.S. "FPGA Development of an Emulator Framework and a High Speed I/O Core for the ITk Pixel Upgrade", Spring 2018. Joined Lattice Semiconductor. Umaymah Khan, M.S. Spring 2018. Joined Microsoft. Nicholas Robillard, M.S. Spring 2018. Joined Blue Origin. Nathaniel McVicar, M.S. Autumn 2011, Ph.D. Autumn 2018. Note: good information for all grad students can be found at: "How to have a good career in Computer Science." "Everything I wanted to know about C.S. graduate school at the beginning but didn't learn until later." "Information for graduate students & those considering graduate study in Computer Science, Computer Engineering and Electrical Engineering" "Graduate Student Resources On The Web" "Advice on Research and Writing" "Graduate Record Examination information" Editorships Associate Editor, International Journal of Reconfigurable Computing (IJRC), 2007 - 2012. Guest Editor (with Toomas Plaks and others), ACM Transactions on Embedded Computing Systems, special issue on Configurable Computing: Configuring Algorithms, Processes, and Architecture, 2008. Guest Editor (with Miriam Leeser and Russ Tessier), EURASIP Journal of Embedded Systems, special issue on Field-Programmable Gate Arrays in Embedded Systems, 2006. Associate Editor, IEEE Transactions on VLSI Systems, 1999-2000. Classes Winter 2019 - ECE 271: Digital Circuits and Systems Autumn 2018 - ECE/CSE 469: Computer Design and Organization Autumn 2017 - ECE 541: Automated Layout of Integrated Circuits Home Student Info Undergraduate Master's & Ph.D. Professional Master's Program Course Info Class Home Pages Operations Administration Calendars & Scheduling Computing Facilities Payroll & Human Resources Research Management Teaching & Academics Research Labs and Research Areas Faculty Research Projects Research Colloquium Quick Access Alumni "Keep in Touch" Form Links for Faculty Research Colloquium UW Workday UWECE External Site | College of Engineering | UW Home UW Electrical & Computer Engineering | Privacy | Terms diff --git a/src/data/compiled_bios/1490.txt b/src/data/compiled_bios/1490.txt new file mode 100644 index 0000000000..2f7663c43f --- /dev/null +++ b/src/data/compiled_bios/1490.txt @@ -0,0 +1 @@ + Griselda Conejo-Lopez Lecturer Affiliation(s): Computer Science and Engineering W119 Westgate gxc249@psu.edu 814-865-7577 Research Areas: Education MS, Georgia Institute of Technology, 2016 Publications Research Projects Honors and Awards Service Service to Penn State: Service to External Organizations: diff --git a/src/data/compiled_bios/1491.txt b/src/data/compiled_bios/1491.txt new file mode 100644 index 0000000000..43dba96d4a --- /dev/null +++ b/src/data/compiled_bios/1491.txt @@ -0,0 +1 @@ + Chitaranjan Das Department Head and Distinguished ProfessorDepartment Head of Computer Science and Engineering Affiliation(s): School of Electrical Engineering and Computer Science Computer Science and Engineering W306/W3 Westgate Building cxd12@psu.edu 814-865-0194 Personal or Departmental Website Research Areas: Interest Areas: Computer architecture, parallel and distributed computing, cluster systems, Internet QoS, mobile computing, performance evaluation, fault-tolerant computing, multimedia. Education BS, Electronics and Communication, Ranchi University, 1976 MS, Electrical Engineering, Sambalpur University, 1981 Ph D, Computer Science, University of Southwestern Louisiana, 1986 Publications Books Chrysostomos Nicopoulos, Vijaykrishnan Narayanan and Chitaranjan Das, 2010, Network-on-Chip Architectures - A Holistic Design Exploration, Springer C. Yu, Chitaranjan Das and Y. Pan, 2006, Performance Analysis of Mobile Ad Hoc Networks, Nova Publishers Book, Chapters S. Eachempati, R. Das, N. Vijaykrishnan, Y. Xie, S. Datta and Chitaranjan Das, 2011, Chapter 6, HeTERO: Hybrid Topology Exploration for RF Based On Chip Networks, CRC Press, pp. 201-248 S. Lim, C. Yu and Chitaranjan Das, 2006, Randomized Overhearing to Improve Routing and Energy Performance in Mobile Ad Hoc Networks, Nova Science Publishers, pp. 123-143 C. Yu and Chitaranjan Das, 2006, Link and Network Layer Protocols for Mobile Ad hoc Networks, Nova Publishers, pp. 3-24 Parts of Book S. Eachempati, D. Park, R. Das, A. K. Mishra, N. Vijaykrishnan, Y. Xie and Chitaranjan Das, 2010, Three-Dimensional On-Chip Interconnect Architectures, Chapman & Hall/CRC Computational Science E. J. Kim, K. H. Yum and Chitaranjan Das, 2006, Introduction to Analytical Models, CRC Press, Taylor & Francis Journal Articles Mohammad Arjomand, Amin Jadidi, Mahmut T Kandemir, Anand Sivasubramaniam and Chitaranjan Das, 2017, "", HL-PCM: MLC PCM Main Memory with Accelerated Read, PP, (99), pp. 1 Guido Araujo, Jean-Luc Gaudiot, Manish Parashar, Derek Chiou, Jos Nelson Amaral and Chitaranjan Das, 2015, "Guest Editorial: SBAC-PAD 2013", International Journal of Parallel Programming, 43, (6), pp. 961964 S. Surender, R. Narayanan and Chitaranjan Das, 2013, "Cross-layered Resource Allocation in UWB Noise OFDM Based Ad Hoc Surveillance Networks", EURASIP Journal on Wireless Communication and Networking, pp. 24 Sunho Lim, Chansu Yu and Chitaranjan Das, 2012, "Cache invalidation strategies for Internet-based vehicular ad hoc networks", Computer Communications, 35, (3), pp. 380391 Reetuparna Das, Onur Mutlu, Thomas Moscibroda and Chitaranjan Das, 2011, "Argia: A Network-on-Chip Exploiting Packet Latency Slack", IEEE Micro, 31, (1), pp. 2941 Asit K. Mishra, Aditya Yanamandra, Reetuparna Das, Soumya Eachempati, Ravi R. Iyer, Vijaykrishnan Narayanan and Chitaranjan Das, 2011, "RAFT: A router architecture with frequency tuning for on-chip networks", J. Parallel Distrib. Comput., 71, (5), pp. 625640 Sunho Lim, Chansu Yu and Chitaranjan Das, 2010, "A realistic mobility model for wireless networks of scale-free node connectivity", IJMC, 8, (3), pp. 351369 Gyu Sang Choi and Chitaranjan Das, 2010, "A Superscalar software architecture model for Multi-Core Processors (MCPs)", Journal of Systems and Software, 83, (10), pp. 18231837 Jing Zhao, Ping Zhang, Guohong Cao and Chitaranjan Das, 2010, "Cooperative Caching in Wireless P2P Networks: Design, Implementation, and Evaluation", IEEE Trans. Parallel Distrib. Syst., 21, (2), pp. 229241 Ki Hwan Yum, Yuho Jin, Eun Jung Kim and Chitaranjan Das, 2010, "Integration of admission, congestion, and peak power control in QoS-aware clusters", J. Parallel Distrib. Comput., 70, (11), pp. 10871099 Chrysostomos Nicopoulos, Suresh Srinivasan, Aditya Yanamandra, Dongkook Park, Vijaykrishnan Narayanan, Chitaranjan Das and Mary Jane Irwin, 2010, "On the Effects of Process Variation in Network-on-Chip Architectures", IEEE Trans. Dependable Sec. Comput., 7, (3), pp. 240254 Asit K. Mishra, Joseph L. Hellerstein, Walfredo Cirne and Chitaranjan Das, 2010, "Towards characterizing cloud backend workloads: insights from Google compute clusters", SIGMETRICS Performance Evaluation Review, 37, (4), pp. 3441 Sunho Lim, Chansu Yu and Chitaranjan Das, 2009, "RandomCast: An Energy-Efficient Communication Scheme for Mobile Ad Hoc Networks", IEEE Trans. Mob. Comput., 8, (8), pp. 10391051 Sungwon Yi, Xidong Deng, George Kesidis and Chitaranjan Das, 2008, "A dynamic quarantine scheme for controlling unresponsive TCP sessions", Telecommunication Systems, 37, (4), pp. 169189 Jin-Ha Kim, Gyu Sang Choi and Chitaranjan Das, 2008, "Coscheduled distributed-Web servers on system area network", J. Parallel Distrib. Comput., 68, (8), pp. 10331043 Sungwon Yi, Martin Kappes, Sachin Garg, Xidong Deng, George Kesidis and Chitaranjan Das, 2008, "Proxy-RED: an AQM scheme for wireless local area networks", Wireless Communications and Mobile Computing, 8, (4), pp. 421434 J.-H. Kim, G. S. Choi and Chitaranjan Das, 2007, "A SSL Backend Forwarding Scheme in Cluster-based Web Servers", IEEE Transaction on Parallel and Distributed Systems, 18, (7), pp. 946-957 Gyu Sang Choi, Jin-Ha Kim, Deniz Ersoz, Andy B. Yoo and Chitaranjan Das, 2007, "A comprehensive performance and energy consumption analysis of scheduling alternatives in clusters", The Journal of Supercomputing, 40, (2), pp. 159184 Suneuy Kim and Chitaranjan Das, 2007, "An analytical model for interval caching in interactive video servers", J. Network and Computer Applications, 30, (1), pp. 384413 Jin-Ha Kim, Gyu Sang Choi and Chitaranjan Das, 2007, "An SSL Back-End Forwarding Scheme in Cluster-Based Web Servers", IEEE Trans. Parallel Distrib. Syst., 18, (7), pp. 946957 Sunho Lim, Wang Lee, Guohong Cao and Chitaranjan Das, 2007, "Cache invalidation strategies for internet-based mobile ad hoc networks", Computer Communications, 30, (8), pp. 18541869 Eun Jung Kim, Ki Hwan Yum, Chitaranjan Das, Mazin S. Yousif and Jos Duato, 2007, "Exploring IBA Design Space for Improved Performance", IEEE Trans. Parallel Distrib. Syst., 18, (4), pp. 498510 Gyu Sang Choi, Saurabh Agarwal, Jin-Ha Kim, Chitaranjan Das and Andy B. Yoo, 2007, "Performance Comparison of Coscheduling Algorithms for Non-Dedicated Clusters Through a Generic Framework", IJHPCA, 21, (1), pp. 91105 Sunho Lim, Wang Lee, Guohong Cao and Chitaranjan Das, 2006, "A novel caching scheme for improving Internet-based mobile ad hoc networks performance", Ad Hoc Networks, 4, (2), pp. 225239 Eun Jung Kim, Greg M. Link, Ki Hwan Yum, Vijaykrishnan Narayanan, Mahmut T Kandemir, Mary Jane Irwin and Chitaranjan Das, 2005, "A Holistic Approach to Designing Energy-Efficient Cluster Interconnects", IEEE Trans. Computers, 54, (6), pp. 660671 Eun Jung Kim, Ki Hwan Yum and Chitaranjan Das, 2005, "Performance analysis of a QoS capable cluster interconnect", Perform. Eval., 60, (1-4), pp. 275302 Sunho Lim, Guohong Cao and Chitaranjan Das, 2004, "A unified bandwidth reservation and admission control mechanism for QoS provisioning in cellular networks", Wireless Communications and Mobile Computing, 4, (1), pp. 318 Hao Zhu, Guohong Cao, George Kesidis and Chitaranjan Das, 2004, "An adaptive power-conserving service discipline for bluetooth (APCB) wireless networks", Computer Communications, 27, (9), pp. 828839 Nabil J. Sarhan and Chitaranjan Das, 2004, "Caching and Scheduling in NAD-Based Multimedia Servers", IEEE Trans. Parallel Distrib. Syst., 15, (10), pp. 921933 Guohong Cao, Liangzhong Yin and Chitaranjan Das, 2004, "Cooperative Cache-Based Data Access in Ad Hoc Networks", IEEE Computer, 37, (2), pp. 3239 B. S. Yoo and Chitaranjan Das, 2002, "A Fast and Efficient Allocation Scheme for Mesh-Connected Multiprocessors", IEEE Transactions on Computers, 51, (1), pp. 45-60 V. Bhanu, S. Agarwal, D. Nayyar and Chitaranjan Das, 2002, "A User-Level TCP Implementation over Virtual Interface Architecture" Byung S. Yoo and Chitaranjan Das, 2002, "A Fast and Efficient Processor Allocation Scheme for Mesh-Connected Multicomputers", IEEE Trans. Computers, 51, (1), pp. 4660 Ki Hwan Yum, Eun Jung Kim, Chitaranjan Das and Aniruddha S. Vaidya, 2002, "MediaWorm: A QoS Capable Router Architecture for Clusters", IEEE Trans. Parallel Distrib. Syst., 13, (12), pp. 12611274 Byung S. Yoo and Chitaranjan Das, 2001, "Efficient processor management schemes for mesh-connected multicomputers", Parallel Computing, 27, (8), pp. 10571078 Aniruddha S. Vaidya, Anand Sivasubramaniam and Chitaranjan Das, 2001, "Impact of Virtual Channels and Adaptive Routing on Application Performance", IEEE Trans. Parallel Distrib. Syst., 12, (2), pp. 223237 Aniruddha S. Vaidya, Chitaranjan Das and Anand Sivasubramaniam, 1999, "A Testbed for Evaluation of Fault-Tolerant Routing in Multiprocessor Interconnection Networks", IEEE Trans. Parallel Distrib. Syst., 10, (10), pp. 10521066 Shailabh Nagar, Ajit Banerjee, Anand Sivasubramaniam and Chitaranjan Das, 1999, "Alternatives to Coscheduling a Network of Workstations", J. Parallel Distrib. Comput., 59, (2), pp. 302327 Byung S. Yoo and Chitaranjan Das, 1998, "A Fast and Efficient Processor Management Scheme for k-ary n-cubes", J. Parallel Distrib. Comput., 55, (2), pp. 192214 Younes M. Boura and Chitaranjan Das, 1997, "Performance Analysis of Buffering Schemes on Wormhole Routers", IEEE Trans. Computers, 46, (6), pp. 687694 Najwa Sara Merchawi, Sounder R. T. Kumara and Chitaranjan Das, 1996, "A probabilistic model for the fault tolerance of multilayer perceptrons", IEEE Transactions on Neural Networks, 7, (1), pp. 201205 Prasant Mohapatra, Chansu Yu and Chitaranjan Das, 1996, "Allocation and Mapping Based Reliability Analysis of Multistage Interconnection Networks", IEEE Trans. Computers, 45, (5), pp. 600606 Prasant Mohapatra and Chitaranjan Das, 1996, "Performance Analysis of Finite-Buffered Asynchronous Multistage Interconnection Networks", IEEE Trans. Parallel Distrib. Syst., 7, (1), pp. 1825 Prasant Mohapatra, Chansu Yu and Chitaranjan Das, 1995, "A Lazy Scheduling Scheme for Hypercube Computers", J. Parallel Distrib. Comput., 27, (1), pp. 2637 Mazin S. Yousif, Matthew Thazhuthaveetil and Chitaranjan Das, 1995, "Cache Coherence in Multiprocessors: A Survey", Advances in Computers, 40, pp. 127179 Chansu Yu and Chitaranjan Das, 1995, "Disjoint Task Allocation Algorithms for MIN Machines with Minimal Conflicts", IEEE Trans. Parallel Distrib. Syst., 6, (4), pp. 373387 Tsang-Ling Sheu, Woei Lin and Chitaranjan Das, 1995, "Distributed Fault Diagnosis in Multistage Network-Based Multiprocessors", IEEE Trans. Computers, 44, (9), pp. 10851095 Amit Agarwala and Chitaranjan Das, 1995, "Experimenting with a Shared Virtual Memory Environment for Hypercubes", J. Parallel Distrib. Comput., 29, (2), pp. 228235 Prasant Mohapatra and Chitaranjan Das, 1995, "On Dependability Evaluation of Mesh-Connected Processors", IEEE Trans. Computers, 44, (9), pp. 10731084 Mazin S. Yousif, Chitaranjan Das and Matthew J. Thazhuthaveetil, 1994, "A Cache coherence protocol for MIN-based multiprocessors", The Journal of Supercomputing, 8, (2), pp. 163185 Myung K. Yang and Chitaranjan Das, 1994, "Evaluation of a Parallel Branch-and-Bound Algorithm on a Class of Multiprocessors", IEEE Trans. Parallel Distrib. Syst., 5, (1), pp. 7486 Jong Kim and Chitaranjan Das, 1994, "Hypercube Communication Delay with Wormhole Routing", IEEE Trans. Computers, 43, (7), pp. 806814 Prasant Mohapatra, Chitaranjan Das and Tse-Yun Feng, 1994, "Performance Analysis of Cluster-Based Multiprocessors", IEEE Trans. Computers, 43, (1), pp. 109114 Chitaranjan Das, Prasant Mohapatra, Lei Tien and Laxmi N. Bhuyan, 1993, "An Availability Model for MIN-Based Multiprocessors", IEEE Trans. Parallel Distrib. Syst., 4, (10), pp. 11181129 Chitaranjan Das and Jong Kim, 1992, "A Unified Task-Based Dependability Model for Hypercube Computers", IEEE Trans. Parallel Distrib. Syst., 3, (3), pp. 312324 Jong Kim, Chitaranjan Das and Woei Lin, 1991, "A Top-Down Processor Allocation Scheme for Hypercube Computers", IEEE Trans. Parallel Distrib. Syst., 2, (1), pp. 2030 Chitaranjan Das, Jeffrey T. Kreulen, Matthew Thazhuthaveetil and Laxmi N. Bhuyan, 1990, "Dependability Modeling for Multiprocessors", IEEE Computer, 23, (10), pp. 719 Woei Lin, Tsang-Ling Sheu, Chitaranjan Das, Tse-Yun Feng and Chuan-lin Wu, 1989, "A Conflict-Free Routing Scheme on Multistage Interconnection Networks", IEEE Trans. Computers, 38, (8), pp. 10861097 Chitaranjan Das and Laxmi N. Bhuyan, 1987, "Dependability evaluation of interconnection networks", Inf. Sci., 43, (1-2), pp. 107138 Chitaranjan Das and Laxmi N. Bhuyan, 1985, "Bandwidth Availability of Multiple-Bus Multiprocessors", IEEE Trans. Computers, 34, (10), pp. 918926 Conference Proceedings Nima Elyasi, Mohammad Arjomand, Anand Sivasubramaniam, Mahmut T Kandemir, Chitaranjan Das and Myoungsoo Jung, 2017, "Exploiting Intra-Request Slack to Improve SSD Performance", Association for Computing Machinery, pp. 375-388 Xulong Tang, Ashutosh Pattnaik, Huaipan Jiang, Onur Kayiran, Adwait Jog, Sreepathi Pai, Mohamed Ibrahim, Mahmut T Kandemir and Chitaranjan Das, 2017, "Controlled Kernel Launch for Dynamic Parallelism in GPUs", IEEE Computer Society, pp. 649-660 Mohammad Arjomand, A. Jadidi, Mahmut T Kandemir and Chitaranjan Das, 2017, "Leveraging value locality for efficient design of a hybrid cache in multicore processors", Institute of Electrical and Electronics Engineers Inc., pp. 1-8 W. Choi, M. Jung, Mahmut T Kandemir and Chitaranjan Das, 2017, "A scale-out enterprise storage architecture", Institute of Electrical and Electronics Engineers Inc., pp. 549-556 J. B. Kotra, D. Guttman, N. Chidamabaram, Mahmut T Kandemir and Chitaranjan Das, 2017, "Quantifying the Potential Benefits of On-chip Near-Data Computing in Manycore Processors", Institute of Electrical and Electronics Engineers Inc., pp. 198-209 Akbar Sharifi, Wei Ding, Diana Guttman, Hui Zhao, X. Tang, Mahmut T Kandemir and Chitaranjan Das, 2017, "DEMM: A Dynamic Energy-Saving Mechanism for Multicore Memories", Institute of Electrical and Electronics Engineers Inc., pp. 210-220 Haibo Zhang, Prasanna Venkatesh Rengasamy, Shulin Zhao, Nachiappan Nachiappan Chidambaram, Anand Sivasubramaniam, Mahmut T Kandemir, Ravi R. Iyer and Chitaranjan Das, 2017, "Race-To-sleep + content caching + display caching: A recipe for energy-efficient video streaming on handhelds", IEEE Computer Society, pp. 517-531 Mohammad Khavari Tavana, Amir Kavyan Ziabari, Mohammad Arjomand, Mahmut T Kandemir, Chitaranjan Das and David R. Kaeli, 2017, "REMAP: A reliability/endurance mechanism for advancing PCM", Association for Computing Machinery, pp. 385-398 Amin Jadidi, Mohammad Arjomand, Mohammad Khavari Tavana, David R. Kaeli, Mahmut T Kandemir and Chitaranjan Das, 2017, "Exploring the Potential for Collaborative Data Compression and Hard-Error Tolerance in PCM Memories", pp. 85-96 Prashanth Thinakaran, Jashwant Raj Gunasekaran, Bikash Sharma, Mahmut T Kandemir and Chitaranjan Das, 2017, "Phoenix: A Constraint-Aware Scheduler for Heterogeneous Datacenters", Institute of Electrical and Electronics Engineers Inc., pp. 977-987 Weiyu Tsai, Jinhang Choi, Tulika Parija, Priyanka Gomatam, Chitaranjan Das, John Sampson and Vijaykrishnan Narayanan, 2017, "Co-Training of Feature Extraction and Classification using Partitioned Convolutional Neural Networks", Institute of Electrical and Electronics Engineers Inc., USA, pp. 58:1, 58:6 Amin Jadidi, Mohammad Arjomand, Mahmut T Kandemir and Chitaranjan Das, 2017, "A study on performance and power efficiency of dense non-volatile caches in multi-core systems", Association for Computing Machinery, Inc, pp. 27-28 Amin Jadidi, Mohammad Arjomand, Mahmut T Kandemir and Chitaranjan Das, 2017, "Optimizing energy consumption in GPUS through feedback-driven CTA scheduling", The Society for Modeling and Simulation International, 49, (3), pp. 129-140 Narges Shahidi, Mohammad Arjomand, Myoungsoo Jung, Mahmut T Kandemir, Chitaranjan Das and Anand Sivasubramaniam, 2017, "Exploring the potentials of parallel garbage collection in SSDs for enterprise storage systems", IEEE Computer Society, pp. 561-572 A. Pattnaik, X. Tang, A. Jog, O. Kayiran, A. K. Mishra, Mahmut T Kandemir, O. Mutlu and Chitaranjan Das, 2016, "Scheduling Techniques for GPU Architectures with Processing-In-Memory Capabilities", Institute of Electrical and Electronics Engineers Inc., 11-15-September 2016, pp. 31-44 Mohammad Arjomand, Mahmut T Kandemir, Anand Sivasubramaniam and Chitaranjan Das, 2016, "Boosting Access Parallelism to PCM-Based Main Memory", Institute of Electrical and Electronics Engineers Inc., 2016 August, (7551433), pp. 695-706 J. B. Kotra, M. Arjomand, D. Guttman, Mahmut T Kandemir and Chitaranjan Das, 2016, "Re-NUCA: A Practical NUCA Architecture for ReRAM Based Last-Level Caches", Institute of Electrical and Electronics Engineers Inc., July 2016, (7516054), pp. 576-585 Adwait Jog, Onur Kayiran, Ashutosh Pattnaik, Mahmut T Kandemir, Onur Mutlu, Ravishankar Iyer and Chitaranjan Das, 2016, "Exploiting Core-Criticality for Enhanced GPU Performance", Association for Computing Machinery, Inc, 2016 June, pp. 351-363 N. Shahidi, M. Arjomand, Anand Sivasubramaniam, Mahmut T Kandemir and Chitaranjan Das, 2016, "Storage consolidation: Not always a panacea, but can we ease the pain?", Institute of Electrical and Electronics Engineers Inc., 2016 May, (7482090), pp. 159-160 M. Arjomand, A. Jadidi, Mahmut T Kandemir, Anand Sivasubramaniam and Chitaranjan Das, 2016, "MLC PCM Main Memory with Accelerated Read", Institute of Electrical and Electronics Engineers Inc., 2016 May, (7482082), pp. 143-144 N. Shahidi, Anand Sivasubramaniam, Mahmut T Kandemir and Chitaranjan Das, 2016, "Storage Consolidation on SSDs: Not Always a Panacea, but Can We Ease the Pain?", Institute of Electrical and Electronics Engineers Inc., 2016-March, (7429339), pp. 498-499 P. V. Rengasamy, Anand Sivasubramaniam, Mahmut T Kandemir and Chitaranjan Das, 2016, "Exploiting Staleness for Approximating Loads on CMPs", Institute of Electrical and Electronics Engineers Inc., 2016 March, (7429318), pp. 343-354 R. Ausavarungnirun, S. Ghose, O. Kayiran, G. H. Loh,, Chitaranjan Das, Mahmut T Kandemir and O. Mutlu, 2016, "Exploiting Inter-Warp Heterogeneity to Improve GPGPU Performance", Institute of Electrical and Electronics Engineers Inc., 2016 March, (7429292), pp. 25-38 O. Kayiran, A. Jog, A. Pattnaik, R. Ausavarungnirun, X. Tang, Mahmut T Kandemir, G. H. Loh, O. Mutlu and Chitaranjan Das, 2016, "c-States: Fine-grained GPU Datapath Power Management", Institute of Electrical and Electronics Engineers Inc., 11-15-September 2016, pp. 17-30 J. Zhan, O. Kayiran, G. H. Loh, Chitaranjan Das and Y. Xie, 2016, "OSCAR: Orchestrating STT-RAM cache traffic for heterogeneous CPU-GPU architectures", IEEE Computer Society, 2016 December, (7783731) Prasanna Venkatesh Rengasamy, Anand Sivasubramaniam, Mahmut T Kandemir and Chitaranjan Das, 2015, "Exploiting Staleness for Approximating Loads on CMPs" Rachata Ausavarungnirun, Onur Kayiran, Saugata Ghose, Gabriel Loh, Chitaranjan Das, Mahmut T Kandemir and Onur Mutlu, 2015, "Exploiting Inter-Warp Heterogeneity to Improve GPGPU Performance" Adwait Jog, Onur Kayiran, Tuba Kesten, Ashutosh Pattnaik, Evgeny Bolotin, Niladrish Chatterjee, Stephen W. Keckler, Mahmut T Kandemir and Chitaranjan Das, 2015, "Anatomy of GPU Memory System for Multi-Application Execution", pp. 223234 Diman Zad Tootaghaj, Farshid Farhat, Mohammad Arjomand, Paolo Faraboschi, Mahmut T Kandemir, Anand Sivasubramaniam and Chitaranjan Das, 2015, "Evaluating the Combined Impact of Node Architecture and Cloud Workload Characteristics on Network Traffic and Performance/Cost", pp. 203212 Nandita Vijaykumar, Gennady Pekhimenko, Adwait Jog, Abhishek Bhowmick, Rachata Ausavarungnirun, Chitaranjan Das, Mahmut T Kandemir, Todd C. Mowry and Onur Mutlu, 2015, "A case for core-assisted bottleneck acceleration in GPUs: enabling flexible data compression with assist warps", pp. 4153 Nachiappan Chidambaram Nachiappan, Haibo Zhang, Jihyun Ryoo, Niranjan Soundararajan, Anand Sivasubramaniam, Mahmut T Kandemir, Ravishankar Iyer and Chitaranjan Das, 2015, "VIP: virtualizing IP chains on handheld platforms", pp. 655667 Nachiappan Chidambaram Nachiappan, Praveen Yedlapalli, Niranjan Soundararajan, Anand Sivasubramaniam, Mahmut T Kandemir, Ravi Iyer and Chitaranjan Das, 2015, "Domain Knowledge Based Energy Management in Handhelds", pp. 150-160 Onur Kayiran, Nachiappan Chidambaram Nachiappan, Adwait Jog, Rachata Ausavarungnirun, Mahmut T Kandemir, Gabriel H. Loh, Onur Mutlu and Chitaranjan Das, 2014, "Managing GPU Concurrency in Heterogeneous Architectures", pp. 114126 Praveen Yedlapalli, Nachiappan Chidambaram Nachiappan, Niranjan Soundararajan, Anand Sivasubramaniam, Mahmut T Kandemir and Chitaranjan Das, 2014, "Short-Circuiting Memory Traffic in Handheld Platforms", pp. 166177 Wei Ding, Mahmut T Kandemir, Diana Guttman, Adwait Jog, Chitaranjan Das and Praveen Yedlapalli, 2014, "Trading cache hit rate for memory performance", pp. 357368 Nachiappan Chidambaram Nachiappan, Praveen Yedlapalli, Niranjan Soundararajan, Mahmut T Kandemir, Anand Sivasubramaniam and Chitaranjan Das, 2014, "GemDroid: a framework to evaluate mobile platforms", pp. 355366 Adwait Jog, Evgeny Bolotin, Zvika Guz, Mike Parker, Stephen W. Keckler, Mahmut T Kandemir and Chitaranjan Das, 2014, "Application-aware Memory System for Fair and Efficient Execution ofConcurrent GPGPU Applications", pp. 1 , 2014, "47th Annual IEEE/ACM International Symposium on Microarchitecture, MICRO 2014, Cambridge, United Kingdom, December 13-17, 2014", IEEE , 2014, "ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems, SIGMETRICS 14, Austin, TX, USA - June 16 - 20, 2014", ACM Adwait Jog, Evgeny Bolotin, Zvika Guz, Mike Parker, Stephen W. Keckler, Mahmut T Kandemir and Chitaranjan Das, 2014, "Application-aware Memory System for Fair and Efficient Execution of Concurrent GPGPU Applications", pp. 1 , 2014, "International Conference on Parallel Architectures and Compilation, PACT 14, Edmonton, AB, Canada, August 24-27, 2014", ACM , 2014, "Seventh Workshop on General Purpose Processing Using GPUs, GPGPU-7, Salt Lake City, UT, USA, March 1, 2014", ACM O. Kayiran, A. Jog, M. Kandemir and Chitaranjan Das, 2013, "Neither More Nor Less: Optimizing Thread-level Parallelism for GPGPUs", Proceedings of the Twenty-Second International Conference on Parallel Architectures and Compilation Techniques (PACT 2013), pp. 157-166 P. Yedlapalli, J. Kotra, E. Kultursay, M. Kandemir, Chitaranjan Das and A. Sivasubramaniam, 2013, "Meeting Midway: Improving CMP Performance with Memory-Side Prefetching", Proceedings of the Twenty-Second International Conference on Parallel Architectures and Compilation Techniques (PACT 2013), pp. 289-298 B. Sharma, T. Wood and Chitaranjan Das, 2013, "HybridMR: A Hierarchical MapReduce Scheduler for Hybrid Clouds", Proceedings of the Thirty-Third International Conference on Distributed Computing Systems (ICDCS 2013), pp. 102-111 B. Sharma, P. Jayachandran, A. Verma and Chitaranjan Das, 2013, "CloudPD: Problem Determination and Diagnosis in Shared Dynamic Clouds", Proceedings of the Forty-Third IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2013), pp. 12 A. Mishra, O. Mutlu and Chitaranjan Das, 2013, "A Heterogeneous Multiple Network-On-Chip Design: An Application-Aware Approach", Proceedings of the Fiftieth IEEE/ACM Design Automation Conference (DAC 2013) A. Jog, O. Kayiran, A. Mishra, M. Kandemir, O. Mutlu, R. Iyer and Chitaranjan Das, 2013, "Orchestrated Scheduling and Prefetching for GPGPUs", Proceedings of the Fortieth International Symposium on Computer Architecture (ISCA 2013), pp. 332-343 A. Jog, O. Kayiran, C. N. Nachiappan, A. K. Mishra, M. Kandemir, O. Mutlu, R. Iyer and Chitaranjan Das, 2013, "OWL: Focused Thread-Array Aware Scheduling for Enhanced Performance in GPGPUs", Proceedings of the Eighteenth International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS 2013), pp. 395-406 , 2013, "2013 43rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), Budapest, Hungary, June 24-27, 2013", IEEE , 2013, "Architectural Support for Programming Languages and Operating Systems, ASPLOS 13, Houston, TX, USA - March 16 - 20, 2013", ACM Bikash Sharma, Timothy Wood and Chitaranjan Das, 2013, "HybridMR: A Hierarchical MapReduce Scheduler for Hybrid Data Centers", pp. 102111 , 2013, "IEEE 33rd International Conference on Distributed Computing Systems, ICDCS 2013, 8-11 July, 2013, Philadelphia, Pennsylvania, USA", IEEE Computer Society Adwait Jog, Onur Kayiran, Nachiappan Chidambaram Nachiappan, Asit K. Mishra, Mahmut T Kandemir, Onur Mutlu, Ravishankar Iyer and Chitaranjan Das, 2013, "OWL: cooperative thread array aware scheduling techniques for improving GPGPU performance", pp. 395406 , 2013, "Proceedings of the 22nd International Conference on Parallel Architectures and Compilation Techniques, Edinburgh, United Kingdom, September 7-11, 2013", IEEE Computer Society , 2013, "The 40th Annual International Symposium on Computer Architecture, ISCA13, Tel-Aviv, Israel, June 23-27, 2013", ACM , 2013, "The 50th Annual Design Automation Conference 2013, DAC 13, Austin, TX, USA, May 29 - June 07, 2013", ACM , 2012, "2012 IEEE Fifth International Conference on Cloud Computing, Honolulu, HI, USA, June 24-29, 2012", IEEE , 2012, "45th Annual IEEE/ACM International Symposium on Microarchitecture, MICRO 2012, Vancouver, BC, Canada, December 1-5, 2012", IEEE Computer Society , 2012, "ACM SIGMETRICS/PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems, SIGMETRICS 12, London, United Kingdom, June 11-15, 2012", ACM Akbar Sharifi, Emre Kultursay, Mahmut T Kandemir and Chitaranjan Das, 2012, "Addressing End-to-End Memory Access Latency in NoC-Based Multicores", pp. 294304 Nachiappan Chidambaram Nachiappan, Asit K. Mishra, Mahmut T Kandemir, Anand Sivasubramaniam, Onur Mutlu and Chitaranjan Das, 2012, "Application-aware prefetch prioritization in on-chip networks", pp. 441442 Adwait Jog, Asit K. Mishra, Cong Xu, Yuan Xie, Vijaykrishnan Narayanan, Ravishankar Iyer and Chitaranjan Das, 2012, "Cache revive: architecting volatile STT-RAM caches for enhanced performance in CMPs", pp. 243252 Seung-Hwan Lim, Jae-Seok Huh, Youngjae Kim, Galen M. Shipman and Chitaranjan Das, 2012, "D-factor: a quantitative model of application slow-down in multi-resource shared systems", pp. 271282 , 2012, "International Conference on Parallel Architectures and Compilation Techniques, PACT 12, Minneapolis, MN, USA - September 19 - 23, 2012", ACM Bikash Sharma, Ramya Prabhakar, Seung-Hwan Lim, Mahmut T Kandemir and Chitaranjan Das, 2012, "MROrchestrator: A Fine-Grained Resource Orchestration Framework for MapReduce Clusters", pp. 18 Akbar Sharifi, Asit K. Mishra, Shekhar Srikantaiah, Mahmut T Kandemir and Chitaranjan Das, 2012, "PEPON: performance-aware hierarchical power budgeting for NoC based multicores", pp. 6574 , 2012, "The 49th Annual Design Automation Conference 2012, DAC 12, San Francisco, CA, USA, June 3-7, 2012", ACM , 2011, "17th International Conference on High-Performance Computer Architecture (HPCA-17 2011), February 12-16 2011, San Antonio, Texas, USA", IEEE Computer Society , 2011, "38th International Symposium on Computer Architecture (ISCA 2011), June 4-8, 2011, San Jose, CA, USA", ACM , 2011, "3rd USENIX Workshop on Hot Topics in Cloud Computing, HotCloud11, Portland, OR, USA, June 14-15, 2011", USENIX Association Asit K. Mishra, Vijaykrishnan Narayanan and Chitaranjan Das, 2011, "A case for heterogeneous on-chip interconnects for CMPs", pp. 389400 Seung-Hwan Lim, Bikash Sharma, Byung-Chul Tak and Chitaranjan Das, 2011, "A dynamic energy management scheme for multi-tier data centers", pp. 257266 Xiaowei Jiang, Asit K. Mishra, Li Zhao, Ravishankar Iyer, Zhen Fang, Sadagopan Srinivasan, Srihari Makineni, Paul Brett and Chitaranjan Das, 2011, "ACCESS: Smart scheduling for asymmetric cache CMPs", pp. 527538 , 2011, "ACM Symposium on Cloud Computing in conjunction with SOSP 2011, SOCC 11, Cascais, Portugal, October 26-28, 2011", ACM Asit K. Mishra, Xiangyu Dong, Guangyu Sun, Yuan Xie, Vijaykrishnan Narayanan and Chitaranjan Das, 2011, "Architecting on-chip interconnects for stacked 3D STT-RAM caches in CMPs", pp. 6980 , 2011, "IEEE International Symposium on Performance Analysis of Systems and Software, ISPASS 2011, 10-12 April, 2011, Austin, TX, USA", IEEE Computer Society Akbar Sharifi, Shekhar Srikantaiah, Asit K. Mishra, Mahmut T Kandemir and Chitaranjan Das, 2011, "METE: meeting end-to-end QoS in multicores through system-wide resource management", pp. 1324 Seung-Hwan Lim, Jae-Seok Huh, Youngjae Kim and Chitaranjan Das, 2011, "Migration, Assignment, and Scheduling of Jobs in Virtualized Environment" Bikash Sharma, Victor Chudnovsky, Joseph L. Hellerstein, Rasekh Rifaat and Chitaranjan Das, 2011, "Modeling and synthesizing task placement constraints in Google compute clusters", pp. 3 , 2011, "SIGMETRICS 2011, Proceedings of the 2011 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, San Jose, CA, USA, 07-11 June 2011 (Co-located with FCRC 2011)", ACM , 2010, "16th International Conference on High-Performance Computer Architecture (HPCA-16 2010), 9-14 January 2010, Bangalore, India", IEEE Computer Society , 2010, "37th International Symposium on Computer Architecture (ISCA 2010), June 19-23, 2010, Saint-Malo, France", ACM Reetuparna Das, Onur Mutlu, Thomas Moscibroda and Chitaranjan Das, 2010, "Argia: exploiting packet latency slack in on-chip networks", pp. 106116 , 2010, "Conference on High Performance Computing Networking, Storage and Analysis, SC 2010, New Orleans, LA, USA, November 13-19, 2010", IEEE Asit K. Mishra, Shekhar Srikantaiah, Mahmut T Kandemir and Chitaranjan Das, 2010, "Coordinated power management of voltage islands in CMPs", pp. 359360 Xiaoxia Wu, Guangyu Sun, Xiangyu Dong, Reetuparna Das, Yuan Xie, Chitaranjan Das and Jian Li, 2010, "Cost-driven 3D integration with interconnect layers", pp. 150155 Asit K. Mishra, Shekhar Srikantaiah, Mahmut T Kandemir and Chitaranjan Das, 2010, "CPM in CMPs: Coordinated Power Management in Chip-Multiprocessors", pp. 112 Shrawan Chittoor Surender, Ram M Narayanan and Chitaranjan Das, 2010, "Performance Analysis of Communications & Radar Coexistence in a Covert UWB OSA System", pp. 15 , 2010, "Proceedings of the 47th Design Automation Conference, DAC 2010, Anaheim, California, USA, July 13-18, 2010", ACM , 2010, "Proceedings of the Global Communications Conference, 2010. GLOBECOM 2010, 6-10 December 2010, Miami, Florida, USA", IEEE , 2010, "SIGMETRICS 2010, Proceedings of the 2010 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, New York, New York, USA, 14-18 June 2010", ACM , 2009, "15th International Conference on High-Performance Computer Architecture (HPCA-15 2009), 14-18 February 2009, Raleigh, North Carolina, USA", IEEE Computer Society , 2009, "21st International Teletraffic Congress, ITC 2009, Paris, France, September 15-17, 2009", IEEE , 2009, "29th IEEE International Conference on Distributed Computing Systems (ICDCS 2009), 22-26 June 2009, Montreal, Qubec, Canada", IEEE Computer Society , 2009, "42st Annual IEEE/ACM International Symposium on Microarchitecture (MICRO-42 2009), December 12-16, 2009, New York, New York, USA", ACM Asit K. Mishra, Reetuparna Das, Soumya Eachempati, Ravishankar R. Iyer, Vijaykrishnan Narayanan and Chitaranjan Das, 2009, "A case for dynamic frequency tuning in on-chip networks", pp. 292303 Shekhar Srikantaiah, Reetuparna Das, Asit K. Mishra, Chitaranjan Das and Mahmut T Kandemir, 2009, "A case for integrated processor-cache partitioning in chip multiprocessors" Reetuparna Das, Onur Mutlu, Thomas Moscibroda and Chitaranjan Das, 2009, "Application-aware prioritization mechanisms for on-chip networks", pp. 280291 Gunwoo Nam, Pushkar Patankar, Seung-Hwan Lim, Bikash Sharma, George Kesidis and Chitaranjan Das, 2009, "Clock-like Flow Replacement Schemes for Resilient Flow Monitoring", pp. 129136 Sunho Lim, Chansu Yu and Chitaranjan Das, 2009, "Cooperative Cache Invalidation Strategies for Internet-Based Vehicular Ad Hoc Networks", pp. 16 Reetuparna Das, Soumya Eachempati, Asit K. Mishra, Vijaykrishnan Narayanan and Chitaranjan Das, 2009, "Design and evaluation of a hierarchical on-chip interconnect for next-generation CMPs", pp. 175186 , 2009, "IEEE 6th International Conference on Mobile Adhoc and Sensor Systems, MASS 2009, 12-15 October 2009, Macau (S.A.R.), China", IEEE Computer Society Gunwoo Nam, Pushkar Patankar, George Kesidis, Chitaranjan Das and Cetin Seren, 2009, "Mass Purging of Stale TCP Flows in Per-Flow Monitoring Systems", pp. 16 Seung-Hwan Lim, Bikash Sharma, Gunwoo Nam, Eun-Kyoung Kim and Chitaranjan Das, 2009, "MDCSim: A multi-tier data center simulation, platform", pp. 19 Yang Zhang, Jing Zhao, Guohong Cao and Chitaranjan Das, 2009, "On Interest Locality in Content-Based Routing for Large-scale MANETs", pp. 178187 Saehoon Kang, Chansu Yu, Chitaranjan Das and Guohong Cao, 2009, "Path-Centric On-Demand Rate Adaptation for Mobile Ad Hoc Networks", pp. 16 Pushkar Patankar, Gunwoo Nam, George Kesidis, Takis Konstantopoulos and Chitaranjan Das, 2009, "Peer-to-peer unstructured anycasting using correlated swarms", pp. 18 , 2009, "Proceedings of the 18th International Conference on Computer Communications and Networks, IEEE ICCCN 2009, San Francisco, California, August 3-6, 2009", IEEE , 2009, "Proceedings of the 2009 IEEE International Conference on Cluster Computing, August 31 - September 4, 2009, New Orleans, Louisiana, USA", IEEE Computer Society , 2009, "Proceedings of the ACM/IEEE Conference on High Performance Computing, SC 2009, November 14-20, 2009, Portland, Oregon, USA", ACM S. Lim, S. H. Chae, C. Yu and Chitaranjan Das, 2008, "On Cache Invalidation for Internet-based Vehicular Ad Hoc Networks", Proceedings of the IEEE Second International Workshop on Mobile Vehicular Networks (MoVeNet 2008) Chitaranjan Das, D. Park, S. Eachempati, R. Das, A. K. Mishra, N. Vijaykrishnan and Y. Xie, 2008, "MIRA: A Multilayered Interconnect Router Architecture", Proceedings of the Thirty-Fifth International Symposium on Computer Architecture (ISCA-2008), pp. 251-261 , 2008, "14th International Conference on High-Performance Computer Architecture (HPCA-14 2008), 16-20 February 2008, Salt Lake City, UT, USA", IEEE Computer Society , 2008, "28th IEEE International Conference on Distributed Computing Systems (ICDCS 2008), 17-20 June 2008, Beijing, China", IEEE Computer Society , 2008, "35th International Symposium on Computer Architecture (ISCA 2008), June 21-25, 2008, Beijing, China", IEEE Computer Society Pushkar Patankar, Gunwoo Nam, George Kesidis and Chitaranjan Das, 2008, "Exploring Anti-Spam Models in Large Scale VoIP Systems", pp. 8592 , 2008, "IEEE 5th International Conference on Mobile Adhoc and Sensor Systems, MASS 2008, 29 September - 2 October 2008, Atlanta, Georgia, USA", IEEE Computer Society Dongkook Park, Soumya Eachempati, Reetuparna Das, Asit K. Mishra, Yuan Xie, Vijaykrishnan Narayanan and Chitaranjan Das, 2008, "MIRA: A Multi-layered On-Chip Interconnect Router Architecture", pp. 251261 Sunho Lim, Soo Hoan Chae, Chansu Yu and Chitaranjan Das, 2008, "On cache invalidation for internet-based vehicular ad hoc networks", pp. 712717 Reetuparna Das, Asit K. Mishra, Chrysostomos Nicopoulos, Dongkook Park, Vijaykrishnan Narayanan, Ravishankar R. Iyer, Mazin S. Yousif and Chitaranjan Das, 2008, "Performance and power optimization through data compression in Network-on-Chip architectures", pp. 215225 , 2007, "15th Annual IEEE Symposium on High-Performance Interconnects, HOTI 2007, Stanford, CA, USA, August 22-24, 2007", IEEE Computer Society , 2007, "27th IEEE International Conference on Distributed Computing Systems (ICDCS 2007), June 25-29, 2007, Toronto, Ontario, Canada", IEEE Computer Society , 2007, "34th International Symposium on Computer Architecture (ISCA 2007), June 9-13, 2007, San Diego, California, USA", ACM Jongman Kim, Chrysostomos Nicopoulos, Dongkook Park, Reetuparna Das, Yuan Xie, Vijaykrishnan Narayanan, Mazin S. Yousif and Chitaranjan Das, 2007, "A novel dimensionally-decomposed router for on-chip communication in 3D architectures", pp. 138149 Deniz Ersoz, Mazin S. Yousif and Chitaranjan Das, 2007, "Characterizing Network Traffic in a Cluster-based, Multi-tier Data Center", pp. 59 Dongkook Park, Reetuparna Das, Chrysostomos Nicopoulos, Jongman Kim, Vijaykrishnan Narayanan, Ravishankar R. Iyer and Chitaranjan Das, 2007, "Design of a Dynamic Priority-Based Fast Path Architecture for On-Chip Interconnects", pp. 1520 Sungwon Yi, Byoung-Koo Kim, Jintae Oh, Jongsoo Jang, George Kesidis and Chitaranjan Das, 2007, "Memory-efficient content filtering hardware for high-speed intrusion detection systems", pp. 264269 , 2007, "Proceedings of the 2007 ACM Symposium on Applied Computing (SAC), Seoul, Korea, March 11-15, 2007", ACM , 2006, "19th International Conference on VLSI Design (VLSI Design 2006), 3-7 January 2006, Hyderabad, India", IEEE Computer Society , 2006, "1st International ICST Conference on Nano-Networks, Nano-Net 2006, Lausanne, Switzerland, September 14-16, 2006", IEEE , 2006, "2006 International Conference on Dependable Systems and Networks (DSN 2006), 25-28 June 2006, Philadelphia, Pennsylvania, USA, Proceedings", IEEE Computer Society , 2006, "33rd International Symposium on Computer Architecture (ISCA 2006), June 17-21, 2006, Boston, MA, USA", IEEE Computer Society , 2006, "39th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO-39 2006), 9-13 December 2006, Orlando, Florida, USA", IEEE Computer Society Dongkook Park, Chrysostomos Nicopoulos, Jongman Kim, Vijaykrishnan Narayanan and Chitaranjan Das, 2006, "A Distributed Multi-Point Network Interface for Low-Latency, Deadlock-Free On-Chip Interconnects", pp. 16 Jongman Kim, Chrysostomos Nicopoulos, Dongkook Park, Vijaykrishnan Narayanan, Mazin S. Yousif and Chitaranjan Das, 2006, "A Gracefully Degrading and Energy-Efficient Modular Router Architecture for On-Chip Networks", pp. 415 Thomas D. Richardson, Chrysostomos Nicopoulos, Dongkook Park, Vijaykrishnan Narayanan, Yuan Xie, Chitaranjan Das and Vijay Degalahal, 2006, "A Hybrid SoC Interconnect with Dynamic TDMA-Based Transaction-Less Buses and On-Chip Networks", pp. 657664 Sunho Lim, Chansu Yu and Chitaranjan Das, 2006, "Clustered Mobility Model for Scale-Free Wireless Networks", pp. 231238 Dongkook Park, Chrysostomos Nicopoulos, Jongman Kim, Vijaykrishnan Narayanan and Chitaranjan Das, 2006, "Exploring Fault-Tolerant Network-on-Chip Architectures", pp. 93104 , 2006, "LCN 2006, The 31st Annual IEEE Conference on Local Computer Networks, Tampa, Florida, USA, 14-16 November 2006", IEEE Computer Society , 2006, "Proceedings of the 2005 ACM/IEEE Symposium on Architecture for Networking and Communications Systems, ANCS 2005, Princeton, New Jersey, USA, October 16-18, 2005", ACM Chrysostomos Nicopoulos, Dongkook Park, Jongman Kim, Vijaykrishnan Narayanan, Mazin S. Yousif and Chitaranjan Das, 2006, "ViChaR: A Dynamic Virtual Channel Regulator for Network-on-Chip Routers", pp. 333346 J. Kim, C. A. Nicopoulos, D. Park, N. Vijaykrishnan and Chitaranjan Das, 2006, "Performance Enhancement through Early Release and Buffer Optimization in Network-on-Chip Router Architectures", Proceedings of the Special Workshop on Future Interconnects and Networks on Chip, in conjunction with the Design, Automation and Test in Europe (DATE 06) , 2005, "2005 IEEE International Conference on Cluster Computing (CLUSTER 2005), September 26 - 30, 2005, Boston, Massachusetts, USA", IEEE Computer Society , 2005, "25th International Conference on Distributed Computing Systems (ICDCS 2005), 6-10 June 2005, Columbus, OH, USA", IEEE Computer Society Jin-Ha Kim, Gyu Sang Choi and Chitaranjan Das, 2005, "A Load Balancing Scheme for Cluster-based Secure Network Servers", pp. 110 Jongman Kim, Dongkook Park, Theo Theocharides, Vijaykrishnan Narayanan and Chitaranjan Das, 2005, "A low latency router supporting adaptivity for on-chip interconnects", pp. 559564 Gyu Sang Choi, Jin-Ha Kim, Deniz Ersoz and Chitaranjan Das, 2005, "A multi-threaded PIPELINED Web server architecture for SMP/SoC machines", pp. 730739 Jongman Kim, Dongkook Park, Chrysostomos Nicopoulos, Vijaykrishnan Narayanan and Chitaranjan Das, 2005, "Design and analysis of an NoC architecture from performance, reliability and energy perspective", pp. 173182 Gyu Sang Choi, Jin-Ha Kim, Deniz Ersoz, Mazin S. Yousif and Chitaranjan Das, 2005, "Exploiting NIC Memory for Improving Cluster-Based Webserver Performance", pp. 110 Jin-Ha Kim, Gyu Sang Choi and Chitaranjan Das, 2005, "Improving Performance of Cluster-based Secure Application Servers with User-level Communication", pp. 549550 , 2005, "Proceedings of the 14th international conference on World Wide Web, WWW 2005, Chiba, Japan, May 10-14, 2005", ACM , 2005, "Proceedings of the 21st International Conference on Data Engineering, ICDE 2005, 5-8 April 2005, Tokyo, Japan", IEEE Computer Society , 2005, "Proceedings of the 42nd Design Automation Conference, DAC 2005, San Diego, CA, USA, June 13-17, 2005", ACM Sunho Lim, Chansu Yu and Chitaranjan Das, 2005, "Rcast: A Randomized Communication Scheme for Improving Energy Efficiency in MANETs", pp. 123132 S. Yi, M. Kappes, S. Garg, X. Deng, G. Kesidis and Chitaranjan Das, 2004, "Proxy-RED: AQM Scheme for Wireless Local Area Networks", Proceedings of the Thirteenth International Conference on Computer Communications and Networks (ICCCN 2004), pp. 460-465 N. Sarhan and Chitaranjan Das, 2004, "Analysis of Caching Performance in Multimedia Servers", Proceedings of the Eighth International Conference on Internet and Multimedia Systems and Applications (IMSA 2004), pp. 288-293 , 2004, "18th International Parallel and Distributed Processing Symposium (IPDPS 2004), CD-ROM / Abstracts Proceedings, 26-30 April 2004, Santa Fe, New Mexico, USA", IEEE Computer Society , 2004, "2004 IEEE International Conference on Mobile Ad-hoc and Sensor Systems, Fort Lauderdale, FL, USA, October 25-27, 2004", IEEE Computer Society Nabil J. Sarhan and Chitaranjan Das, 2004, "A New Class of Scheduling Policies for Providing Time of Service Guarantees in Video-On-Demand Servers", pp. 127139 Gyu Sang Choi, Jin-Ha Kim, Deniz Ersoz, Andy B. Yoo and Chitaranjan Das, 2004, "Coscheduling in Clusters: Is It a Viable Alternative?", pp. 16 , 2004, "IASTED International Conference on Communications, Internet, and Information Technology, November 22 - 24, 2004, St. Thomas, US Virgin Islands", IASTED/ACTA Press Jin-Ha Kim, Gyu Sang Choi, Deniz Ersoz and Chitaranjan Das, 2004, "Improving Response Time in Cluster-Based Web Servers through Coscheduling" , 2004, "Management of Multimedia Networks and Services: 7th IFIP/IEEE International Conference, MMNS 2004, San Diego, CA, USA, October 2004, Proceedings", Springer, 3271 Sunho Lim, Wang Lee, Guohong Cao and Chitaranjan Das, 2004, "Performance comparison of cache invalidation strategies for Internet-based mobile ad hoc networks", pp. 104113 , 2004, "Proceedings of the ACM/IEEE SC2004 Conference on High Performance Networking and Computing, 6-12 November 2004, Pittsburgh, PA, USA, CD-Rom", IEEE Computer Society Xidong Deng, Sungwon Yi, George Kesidis and Chitaranjan Das, 2004, "RL-RED: A flowcontrol mechanism for 802.11-basedwireless ad hoc networks", pp. 369374 , 2003, "2003 IEEE International Conference on Cluster Computing (CLUSTER 2003), 1-4 December 2003, Kowloon, Hong Kong, China", IEEE Computer Society , 2003, "23rd International Conference on Distributed Computing Systems (ICDCS 2003), 19-22 May 2003, Providence, RI, USA", IEEE Computer Society , 2003, "9th International Conference on Multi-Media Modeling, MMM 2003, Taiwan, January 7-10, 2003, Proceedings" Sunho Lim, Seung-Taek Park, Wang Lee, Guohong Cao, Chitaranjan Das and Clyde L Giles, 2003, "A Caching Mechanism for Improving Internet based Mobile Ad Hoc Networks Performance" Xidong Deng, Sungwon Yi, George Kesidis and Chitaranjan Das, 2003, "A control theoretic approach for designing adaptive AQM schemes", pp. 29472951 Sunho Lim, Wang Lee, Guohong Cao and Chitaranjan Das, 2003, "A novel caching scheme for Internet based mobile ad hoc networks", pp. 3843 Nabil J. Sarhan and Chitaranjan Das, 2003, "A Simulation-Based Analysis of Scheduling Policies for Multimedia Server", pp. 183190 Suneuy Kim and Chitaranjan Das, 2003, "An End-to-End Resource Scheduling Scheme for the Presentation of Composite Multimedia Information in a Networked Environment", pp. 443460 Nabil J. Sarhan and Chitaranjan Das, 2003, "An Integrated Resource Sharing Policy for Multimedia Storage Servers Based on Network-Attached Disks", pp. 136 Saurabh Agarwal, Gyu Sang Choi, Chitaranjan Das, Andy B. Yoo and Shailabh Nagar, 2003, "Co-Ordinated Coscheduling in Time-Sharing Clusters through a Generic Framework", pp. 8491 Eun Jung Kim, Ki Hwan Yum, Greg M. Link, Vijaykrishnan Narayanan, Mahmut T Kandemir, Mary Jane Irwin, Mazin S. Yousif and Chitaranjan Das, 2003, "Energy optimization techniques in cluster interconnects", pp. 459464 , 2003, "Euro-Par 2003. Parallel Processing, 9th International Euro-Par Conference, Klagenfurt, Austria, August 26-29, 2003. Proceedings", Springer, 2790 Gyu Sang Choi, Saurabh Agarwal, Jin-Ha Kim, Andy B. Yoo and Chitaranjan Das, 2003, "Impact of Job Allocation Strategies on Communication-Driven Coscheduling in Clusters", pp. 160168 Eun Jung Kim, Ki Hwan Yum, Chitaranjan Das, Mazin S. Yousif and Jos Duato, 2003, "Performance Enhancement Techniques for InfiniBand? Architecture", pp. 253262 , 2003, "Proceedings 36th Annual Simulation Symposium (ANSS-36 2003), Orlando, Florida, March 30 - April 2, 2003", IEEE Computer Society , 2003, "Proceedings of the 12th International Conference on Computer Communications and Networks, ICCCN 2003, 20-22 October, 2003, Double Tree Lincoln Centre, Dallas, Texas, USA", IEEE , 2003, "Proceedings of the 2003 International Symposium on Low Power Electronics and Design, 2003, Seoul, Korea, August 25-27, 2003", ACM , 2003, "Proceedings of the Global Telecommunications Conference, 2003. GLOBECOM 03, San Francisco, CA, USA, 1-5 December 2003", IEEE , 2003, "Proceedings of the Ninth International Symposium on High-Performance Computer Architecture (HPCA03), Anaheim, California, USA, February 8-12, 2003", IEEE Computer Society , 2003, "Proceedings of the Twelfth International World Wide Web Conference - Posters, WWW 2003, Budapest, Hungary, May 20-24, 2003" Nabil J. Sarhan and Chitaranjan Das, 2003, "Providing Time of Service Guarantees in Video-On-Demand Servers" X. Deng, S. Yi, G. Kesidis and Chitaranjan Das, 2003, "Class-based Stabilized Virtual Buffer An AQM Scheme with Stability, Fairness and QoS Assurance", Proceedings of the International Teletraffic Congress 18 (ITC-18) S. Agarwal, G. S. Choi, A. Yoo, S. Nagar and Chitaranjan Das, 2003, "Coordinated Coscheduling in Time-Sharing Clusters Through a Generic Framework", Proceedings of the IEEE International Conference on Cluster Computing (CLUSTER 2003), pp. 84-91 S. Yi, X. Deng, G. Kesidis and Chitaranjan Das, 2003, "HaTCh A Two-level Coding Scheme for Estimating the Number of Active Flows", Proceedings of the Forty-Second IEEE Conference on Decision and Control (CDC 2003) , 2002, "16th International Parallel and Distributed Processing Symposium (IPDPS 2002), 15-19 April 2002, Fort Lauderdale, FL, USA, CD-ROM/Abstracts Proceedings", IEEE Computer Society , 2002, "2002 IEEE International Conference on Cluster Computing (CLUSTER 2002), 23-26 September 2002, Chicago, IL, USA", IEEE Computer Society , 2002, "2002 IEEE Wireless Communications and Networking Conference Record, WCNC 2002, Orlando, Florida, USA, MArch 17-21, 2002", IEEE Francisco Jos Alfaro, Jos L. Snchez, Jos Duato and Chitaranjan Das, 2002, "A Strategy to Compute the InfiniBand Arbitration Tables" Hao Zhu, Guohong Cao, George Kesidis and Chitaranjan Das, 2002, "An adaptive power-conserving service discipline for Bluetooth", pp. 303307 Sunho Lim, Guohong Cao and Chitaranjan Das, 2002, "An admission control scheme for QoS-sensitive cellular networks", pp. 296300 , 2002, "IEEE International Conference on Communications, ICC 2002, April 28 - May 2, 2002, New York City, NY, USA", IEEE Ki Hwan Yum, Eun Jung Kim, Chitaranjan Das, Mazin S. Yousif and Jos Duato, 2002, "Integrated Admission and Congestion Control for QoS Support in Clusters", pp. 325332 Liangzhong Yin, Guohong Cao, Chitaranjan Das and Ajeesh Ashraf, 2002, "Power-Aware Prefetch in Mobile Environments", pp. 571578 , 2002, "Proceedings of the Global Telecommunications Conference, 2002. GLOBECOM 02, Taipei, Taiwan, 17-21 November, 2002", IEEE Sungwon Yi, Xidong Deng, George Kesidis and Chitaranjan Das, 2002, "Providing fairness in DiffServ architecture", pp. 14351439 Xidong Deng, Sungwon Yi, George Kesidis and Chitaranjan Das, 2002, "Stabilized virtual buffer (SVB) - an active queue management scheme for Internet quality-of-service", pp. 16281632 , 2001, "20th Symposium on Reliable Distributed Systems (SRDS 2001), 28-31 October 2001, New Orleans, LA, USA", IEEE Computer Society , 2001, "30th International Workshops on Parallel Processing (ICPP 2001 Workshops), 3-7 September 2001, Valencia, Spain", IEEE Computer Society Sunho Lim, Guohong Cao and Chitaranjan Das, 2001, "A Differential Bandwidth Reservation Policy for Multimedia Wireless Networks", pp. 447452 Nabil J. Sarhan and Chitaranjan Das, 2001, "Adaptive Block Rearrangement Algorithms for Video-On-Demand Servers", pp. 452462 Eun Jung Kim, Ki Hwan Yum and Chitaranjan Das, 2001, "An Analytical Model for a QoS Capable Cluster Interconnect", pp. 924 Eun Jung Kim, Ki Hwan Yum and Chitaranjan Das, 2001, "Calculation of Deadline Missing Probability in a QoS Capable Cluster Interconnect", pp. 3645 , 2001, "IEEE International Symposium on Network Computing and Applications (NCA 2001), October 8-10, 2001, Cambridge, MA, USA", IEEE Computer Society Aniruddha S. Vaidya, Anand Sivasubramaniam and Chitaranjan Das, 2001, "Impact of virtual channels and adaptive routing on application performance", pp. 223237 Guohong Cao and Chitaranjan Das, 2001, "On the Effectiveness of a Counter-Based Cache Invalidation Scheme and Its Resiliency to Failures in Mobile Environments", pp. 247256 , 2001, "Proceedings 11th GI/ITG Conference on Measuring, Modelling and Evaluation of Computer and Communication Systems (MMB 2001), September 11-14, 2001, Aachen, Germany", VDE Verlag , 2001, "Proceedings of the 2001 International Conference on Parallel Processing, ICPP 2002, 3-7 September 2001, Valencia, Spain", IEEE Computer Society , 2001, "Proceedings of the 21st International Conference on Distributed Computing Systems (ICDCS 2001), Phoenix, Arizona, USA, April 16-19, 2001", IEEE Computer Society , 2001, "Proceedings of the 28th Annual International Symposium on Computer Architecture, ISCA 2001, Gteborg, Sweden, June 30-July 4, 2001", ACM , 2001, "Proceedings of the ACM SIGCPR Conference on Computer Personnel Research, San Diego, California, USA, 2001", ACM Ki Hwan Yum, Eun Jung Kim and Chitaranjan Das, 2001, "QoS provisioning in clusters: an investigation of Router and NICdesign", pp. 120129 Mangesh Kasbekar and Chitaranjan Das, 2001, "Selective Checkpointing and Rollbacks in Multithreaded Distributed Systems", pp. 3946 S. Kim, Chitaranjan Das and A. Sivasubramaniam, 2000, "Performance Analysis of a Buffer Management Technique for Interactive Video-on-Demand", Proceedings of the International Conference on Multimedia Modeling (MMM '00), pp. 349-370 Suneuy Kim and Chitaranjan Das, 2000, "A Reliable Statistical Admission Control Strategy for Interactive Video-on-Demand Servers with Interval Caching", pp. 135144 Ki Hwan Yum, Aniruddha S. Vaidya, Chitaranjan Das and Anand Sivasubramaniam, 2000, "Investigating QoS Support for Traffic Mixes with the MediaWorm Router", pp. 97106 , 2000, "Proceedings of the 2000 International Conference on Parallel Processing, ICPP 2000, Toronto, Canada, August 21-24, 2000", IEEE Computer Society , 2000, "Proceedings of the Sixth International Symposium on High-Performance Computer Architecture, Toulouse, France, January 8-12, 2000", IEEE Computer Society Shailabh Nagar, Ajit Banerjee, Anand Sivasubramaniam and Chitaranjan Das, 1999, "A Closer Look at Coscheduling Approaches for a Network of Workstations", pp. 96105 Myung K. Yang and Chitaranjan Das, 1999, "A Parallel Optimal Branch-and-Bound Algorithm for MIN-Based Multiprocessors", pp. 112119 Mangesh Kasbekar, Chitaranjan Das, Shalini Yajnik, Reinhard Klemm and Yennun Huang, 1999, "Issues in the Design of a Reflective Library for Checkpointing C++ Objects", pp. 224233 Aniruddha S. Vaidya, Anand Sivasubramaniam and Chitaranjan Das, 1999, "LAPSES: A Recipe for High Performance Adaptive Router Design", pp. 236243 , 1999, "Proceedings of the Fifth International Symposium on High-Performance Computer Architecture, Orlando, FL, USA, January 9-12, 1999", IEEE Computer Society , 1999, "Proceedings of the International Conference on Parallel Processing 1999, ICPP 1999, Wakamatsu, Japan, September 21-24, 1999", IEEE Computer Society , 1999, "The Eighteenth Symposium on Reliable Distributed Systems, SRDS 1999, Lausanne, Switzerland, October 19-22, 1999, Proceedings", IEEE Computer Society , 1998, "1998 International Conference on Parallel Processing Workshops, ICPPW98, Minneapolis, Minnesota, August 14, 1998", IEEE Computer Society , 1998, "5th International Conference On High Performance Computing, HiPC 1998, Madras, India, 20-20 December, 1998", IEEE Computer Society Suneuy Kim, Anand Sivasubramaniam and Chitaranjan Das, 1998, "Analyzing Cache Performance for Video Servers", pp. 3847 Federico Silla, Jos Duato, Anand Sivasubramaniam and Chitaranjan Das, 1998, "Virtual channel multiplexing in networks of workstations with irregular topology", pp. 147154 , 1997, "1997 International Conference on Parallel and Distributed Systems (ICPADS 97), 11-13 December 1997, Seoul, Korea, Proceedings", IEEE Computer Society , 1997, "1997 International Conference on Parallel Processing (ICPP 97), August 11-15, 1997, Bloomington, IL, USA, Proceedings", IEEE Computer Society Byung S. Yoo, Chitaranjan Das and Jong Kim, 1997, "A Performance Modeling Technique for Mesh-Connected Multicomputers", pp. 408413 Dale Seed, Anand Sivasubramaniam and Chitaranjan Das, 1997, "Communication in Parallel Applications: Characterization and Sensitivity Analysis", pp. 446453 Byung S. Yoo and Chitaranjan Das, 1997, "Good Processor Management = Fast Allocation + Efficient Scheduling", pp. 280287 Aniruddha S. Vaidya, Anand Sivasubramaniam and Chitaranjan Das, 1997, "Performance Benefits of Virtual Channels and Adaptive Routing: An Application-Driven Study", pp. 140147 , 1997, "Proceedings of the 11th international conference on Supercomputing, ICS 1997, Vienna, Austria, July 7-11, 1997", ACM , 1997, "Proceedings of the 3rd IEEE Symposium on High-Performance Computer Architecture (HPCA 97), San Antonio, Texas, USA, February 1-5, 1997", IEEE Computer Society Sucheta Chodnekar, Viji Srinivasan, Aniruddha S. Vaidya, Anand Sivasubramaniam and Chitaranjan Das, 1997, "Towards a Communication Characterization Methodology for Parallel Applications", pp. 310319 Aniruddha S. Vaidya, Byung S. Yoo and Chitaranjan Das, 1996, "A Task-Based Dependability Model kor k-ary n-Cubes", pp. 916 Syedur Rahman and Chitaranjan Das, 1996, "Parallel Simulation of Mesh Routing Algorithms", pp. 158165 , 1996, "Proceedings of the 16th International Conference on Distributed Computing Systems, Hong Kong, May 27-30, 1996", IEEE Computer Society , 1996, "Proceedings of the 1996 International Conference on Parallel Processing, ICCP 1996, Bloomingdale, IL, USA, August 12-16, 1996. Volume 1: Architecture", IEEE Computer Society Younes M. Boura and Chitaranjan Das, 1995, "Fault-Tolerant Routing in Mesh Networks", pp. 106109 Younes M. Boura and Chitaranjan Das, 1995, "Modeling Virtual Channel Flow Control in Hypercubes", pp. 166175 , 1995, "Proceedings of the 1995 International Conference on Parallel Processing, Urbana-Champain, Illinois, USA, August 14-18, 1995. Volume I: Architecture", CRC Press , 1995, "Proceedings of the 1995 International Conference on Parallel Processing, Urbana-Champain, Illinois, USA, August 14-18, 1995. Volume II: Software", CRC Press , 1995, "Proceedings of the 1st IEEE Symposium on High-Performance Computer Architecture (HPCA 1995), Raleigh, North Carolina, USA, January 22-25, 1995", IEEE Computer Society Byung S. Yoo, Chitaranjan Das and Chansu Yu, 1995, "Processor Management Techniques for Mesh-Connected Multiprocessors", pp. 105112 Amit Agarwala and Chitaranjan Das, 1994, "A Shared Memory Environment for Hypercubes", pp. 200207 Mazin S. Yousif and Chitaranjan Das, 1994, "A Switch Cache Design for MIN-Based Shared-Memory Multiprocessors", pp. 426437 Younes M. Boura and Chitaranjan Das, 1994, "Efficient Fully Adaptive Wormhole Routing in n-Dimensional Meshes", pp. 589596 Chansu Yu and Chitaranjan Das, 1994, "Limit Allocation: An Efficient Processor Management Scheme for Hypercubes", pp. 143150 , 1994, "Parallel Processing: CONPAR 94 - VAPP VI, Third Joint International Conference on Vector and Parallel Processing, Linz, Austria, September 6-8, 1994, Proceedings", Springer, 854 Prasant Mohapatra, Sheldon Wong and Chitaranjan Das, 1994, "Performance Analysis of Combining Multistage Interconnection Networks", pp. 1316 , 1994, "Proceedings of the 14th International Conference on Distributed Computing Systems, Poznan, Poland, June 21-24, 1994", IEEE Computer Society , 1994, "Proceedings of the 1994 International Conference on Parallel Processing, North Carolina State University, NC, USA, August 15-19, 1994. Volume I: Architecture", CRC Press , 1994, "Proceedings of the 1994 International Conference on Parallel Processing, North Carolina State University, NC, USA, August 15-19, 1994. Volume II: Software", CRC Press Mazin S. Yousif, Chitaranjan Das and Matthew Thazhuthaveetil, 1993, "A Cache Coherence Protocol for MIN-Based Multprocessors With Limited Inclusion", pp. 254257 Younes M. Boura and Chitaranjan Das, 1993, "A Class of Partially Adaptive Routing Algorithms for n_dimensional Meshes", pp. 175182 Prasant Mohapatra, Chansu Yu, Chitaranjan Das and Jong Kim, 1993, "A Lazy Scheduling Scheme for Improving Hypercube Performance", pp. 110117 Prasant Mohapatra and Chitaranjan Das, 1993, "A Queuing Model for Finite-Buffered Multistage Interconnection Networks", pp. 210213 , 1993, "Proceedings of the 1993 International Conference on Parallel Processing, Syracuse University, NY, USA, August 16-20, 1993. Volume I: Architecture", CRC Press , 1993, "Proceedings of the 1993 International Conference on Parallel Processing, Syracuse University, NY, USA, August 16-20, 1993. Volume III: Algorithms & Applications", CRC Press Myung K. Yang and Chitaranjan Das, 1992, "Analytical Modeling of a Parallel Branch-and-Bound Algorithm on MIN-Based Multiprocessors", pp. 254257 Chansu Yu and Chitaranjan Das, 1992, "Multitasking in Multistage Interconnection Network Machines", pp. 3037 , 1992, "Proceedings of the 12th International Conference on Distributed Computing Systems, Yokohama, Japan, June 9-12, 1992", IEEE Computer Society , 1992, "Proceedings of the 6th International Parallel Processing Symposium, Beverly Hills, CA, USA, March 1992", IEEE Computer Society , 1991, "10th International Conference on Distributed Computing Systems (ICDCS 1991), May 20-24, 1991, Arlington, Texas, USA", IEEE Computer Society Mazin S. Algudady, Chitaranjan Das and Matthew Thazhuthaveetil, 1991, "A Cache-Based Checkpointing Scheme for MIN-Based Multiprocessors", pp. 497500 Myung K. Yang and Chitaranjan Das, 1991, "A Parallel Branch-and Bound Algorithm for MIN-Based Multiprocessors", pp. 222223 Jong Kim and Chitaranjan Das, 1991, "Modeling wormhole routing in a hypercube", pp. 386393 Jong Kim and Chitaranjan Das, 1991, "On Subcube Dependability in a Hypercube", pp. 111119 , 1991, "Proceedings of the International Conference on Parallel Processing, ICPP 91, Austin, Texas, USA, August 1991. Volume I: Architecture/Hardware", CRC Press Mazin S. Algudady, Chitaranjan Das and Matthew Thazhuthaveetil, 1990, "A write update cache coherence protocol for MIN-based multiprocessors with accessibility-based split caches", pp. 544553 Chitaranjan Das, Lei Tien and Laxmi N. Bhuyan, 1990, "Availability evaluation of MIN-connected multiprocessors using decomposition technique", pp. 176183 Mazin S. Algudady, Chitaranjan Das and Woei Lin, 1990, "Fault-Tolerant Task Mapping Algorithms for MIN-Based Multiprocessors", pp. 445448 , 1990, "Proceedings of the 1990 International Conference on Parallel Processing, Urbana-Champaign, IL, USA, August 1990. Volume 1: Architecture", Pennsylvania State University Press , 1990, "Proceedings of the 20th International Symposium on Fault-Tolerant Computing, FTCS 1990, Newcastle Upon Tyne, UK, 26-28 June, 1990", IEEE Computer Society , 1990, "Proceedings Supercomputing 90, New York, NY, USA, November 12-16, 1990", IEEE Computer Society Jong Kim, Chitaranjan Das and Woei Lin, 1989, "A Processor Allocation Scheme for Hypercube Computers", pp. 231238 Chitaranjan Das and Jong Kim, 1989, "An analytical model for computing hypercube availability", pp. 530537 Tsang-Ling Sheu, Woei Lin, Chitaranjan Das and Mary Jane Irwin, 1989, "Distributed Fault Diagnosis in the Butterfly Parallel Processor", pp. 172175 , 1989, "Proceedings of the International Conference on Parallel Processing, ICPP 89, The Pennsylvania State University, University Park, PA, USA, August 1989. Volume 1: Architecture", Pennsylvania State University Press , 1989, "Proceedings of the International Conference on Parallel Processing, ICPP 89, The Pennsylvania State University, University Park, PA, USA, August 1989. Volume 2: Software", Pennsylvania State University Press , 1989, "Proceedings of the Nineteenth International Symposium on Fault-Tolerant Computing, FTCS 1989, Chicago, IL, USA, 21-23 June, 1989", IEEE Computer Society John J. Macaluso, Chitaranjan Das and Woei Lin, 1988, "A Reliability Predictor for MIN-connected Multiprocessor Systems", pp. 392399 , 1988, "Proceedings of the International Conference on Parallel Processing, ICPP 88, The Pennsylvania State University, University Park, PA, USA, August 1988. Volume 1: Architecture", Pennsylvania State University Press Laxmi N. Bhuyan and Chitaranjan Das, 1986, "Dependability Evaluation of Multicomputer Networks", pp. 576583 , 1986, "International Conference on Parallel Processing, ICPP86, University Park, PA, USA, August 1986", IEEE Computer Society Press Chitaranjan Das and Laxmi N. Bhuyan, 1985, "Computation Availability of Multiple-Bus Multiprocessors", pp. 807813 , 1985, "International Conference on Parallel Processing, ICPP85, University Park, PA, USA, August 1985", IEEE Computer Society Press Chitaranjan Das and Laxmi N. Bhuyan, 1985, "Reliability Simulation of Multiprocessor Systems", pp. 591598 Research Projects Honors and Awards Service Service to Penn State: Service to External Organizations: diff --git a/src/data/compiled_bios/1492.txt b/src/data/compiled_bios/1492.txt new file mode 100644 index 0000000000..fafa30719e --- /dev/null +++ b/src/data/compiled_bios/1492.txt @@ -0,0 +1 @@ + John Domico Director of Technology and Lecturer Affiliation(s): School of Electrical Engineering and Computer Science Computer Science and Engineering W114 Westgate Building jad230@psu.edu 814-865-3757 Research Areas: Interest Areas: Systems planning, System and network administration, Directing technical staff, project management. diff --git a/src/data/compiled_bios/1493.txt b/src/data/compiled_bios/1493.txt new file mode 100644 index 0000000000..71e6b3c61d --- /dev/null +++ b/src/data/compiled_bios/1493.txt @@ -0,0 +1 @@ + Mahfuza Farooque Assistant Teaching Professor Affiliation(s): School of Electrical Engineering and Computer Science Computer Science and Engineering W119 Westgate Building mff5187@psu.edu 814-863-5103 Research Areas: Education BS, Premier University, 2006 MS, Computer Sience, Technical University Madrid(UPM), 2009 MS, Computational Logic, Technical University of Dresden(TUD), 2010 Ph D, Informatics, cole Polytechnique, 2013 Publications Book, Chapters Damien Rouhling, Mahfuza Farooque, Stphane Graham-Lengrand, Assia Mahboubi and Jean-Marc Notin, 2015, Axiomatic Constraint Systems for Proof Search Modulo Theories, Springer Nature, pp. 220-236 Conference Proceedings Mahfuza Farooque, Stphane Graham-Lengrand and Assia Mahboubi, 2013, "A bisimulation between DPLL(T) and a proof-search strategy for the focused sequent calculus", Association for Computing Machinery (ACM) Research Projects Honors and Awards Service Service to Penn State: Assistance to Student Organizations, Peer Reviewer, March 2017 - April 2017 Participation in Recruitment and Retention Activities, Judge, February 2017 - February 2017 Service to External Organizations: diff --git a/src/data/compiled_bios/1494.txt b/src/data/compiled_bios/1494.txt new file mode 100644 index 0000000000..2fed6f601a --- /dev/null +++ b/src/data/compiled_bios/1494.txt @@ -0,0 +1 @@ + Junichiro Fukuyama Assistant Teaching Professor Affiliation(s): School of Electrical Engineering and Computer Science Computer Science and Engineering W119 Westgate Building jxf140@psu.edu 814-863-5104 Research Areas: Education Ph D, Computer Science and Engineering, Penn State University, 2001 Publications Journal Articles Junichiro Fukuyama, , "NP-completeness of The Planar Separator Problems", Journal of Graph Algorithms and Applications, 10, (2) Junichiro Fukuyama and Piotr Berman, , "An Online Algorithm for the Postman Problem with a Small Penalty", Lecture Notes in Computer Science, 2129 Junichiro Fukuyama, , "A Probabilistic Protocol for Multihop Routing in VANETs", Journal of Electrical and Computer Engineering (JECE), vol. 2010, Article ID 185791, 2010, pp. 11 Junichiro Fukuyama, Sandeep Mudigonda and Kaan Ozbay, , "Evaluation of a Methodology for a Scalable Dynamic Vehicular Ad-Hoc Networks in a Well-Calibrated Vehicular Mobility Test Bed", Journal of the Transportation Research Board, 2, pp. 54-64 Junichiro Fukuyama and Piotr Berman, , "Variable Length Sequencing with Two Lengths", Lecture Notes in Computer Science, 1913, pp. 51-59 Junichiro Fukuyama, , "An O (|L| log |L|) Time Algorithm for The Recti-Linear Shortest Path Problem", WSEAS Transactions on Information Science and Applications, 1, pp. 1138-1141 Junichiro Fukuyama, , "On the Extension of an m-set Family", Congressus Numerantium, 173, pp. 33-41 Conference Proceedings Junichiro Fukuyama, Bernhard Firner, Richard Howard, Richard Martin, Yanyong Zhang and Chenren Xu, 2017, "Transmit Only: An Ultra Low Overhead MAC Protocol for Dense Wireless Systems", pp. 8 Manuscripts Junichiro Fukuyama, 2018, "Improved Bound on Sets Including No Sunflower with Three Petals", arXiv, 1089, (10318) Junichiro Fukuyama, 2016, "Partial-Match Queries with Random Wildcards: In Tries and Distributed Hash Tables", (1601.04213), pp. 15 Junichiro Fukuyama and Piotr Berman, 2016, "Distributed Selection in O(log n) Time with O(n log log n) Messages", (1511.00715), pp. 15 Junichiro Fukuyama, 2014, "Asymptotic Improvement of the Sunflower Bound", (1408.3671), pp. 13 Junichiro Fukuyama, 2013, "An Alternative Proof of the Exponential Monotone Complexity of the Clique Function", (1307.4308), pp. 34 Research Projects Honors and Awards Service Service to Penn State: Service to External Organizations: diff --git a/src/data/compiled_bios/1495.txt b/src/data/compiled_bios/1495.txt new file mode 100644 index 0000000000..10e57e2807 --- /dev/null +++ b/src/data/compiled_bios/1495.txt @@ -0,0 +1 @@ + Martin Furer Professor Affiliation(s): School of Electrical Engineering and Computer Science Computer Science and Engineering W356 Westgate Building fhs@psu.edu 814-863-1857 Research Areas: diff --git a/src/data/compiled_bios/1496.txt b/src/data/compiled_bios/1496.txt new file mode 100644 index 0000000000..9d729825b2 --- /dev/null +++ b/src/data/compiled_bios/1496.txt @@ -0,0 +1 @@ + Oren Gall Assistant Research Professor Affiliation(s): School of Electrical Engineering and Computer Science Computer Science and Engineering W119 Westgate Building ozg1@psu.edu 814-863-5142 Personal or Departmental Website Research Areas: Education BS, Electrical and Computer Engineering, Rutgers University, 2006 MS, Electrical and Computer Engineering, Purdue University, 2008 Ph D, Electrical and Computer Engineering, Purdue University, 2014 Publications Journal Articles Oren Zaak Gall, Xiahua Zhong, Daniel S. Schulman, Myungkoo Kang, Ali Razavieh and Theresa S Mayer, 2017, "Titanium dioxide nanowire sensor array integration on CMOS platform using deterministic assembly", NANOTECHNOLOGY, 28, (26) Hansraj Bhamra, Young-Joon Kim, Jithin Joseph, John Lynch, Oren Zaak Gall, Henry Mei, Chuizhou Meng, Jui-Wei Tsai and Pedro Irazoqui, 2015, "A 24 uW, Batteryless, Crystal-free, Multinode Synchronized SoC Bionode for Wireless Prosthesis Control", IEEE Journal of Solid-State Circuits, 50, (11), pp. 2714-2727 Chuizhou Meng, Oren Zaak Gall and Pedro P. Irazoqui, 2013, "A flexible super-capacitive solid-state power supply for miniature implantable medical devices", Biomedical Microdevices, 15, (6), pp. 973-983 Tao Geng, Ning Bao, Oren Zaak Gall and Chang Lu, 2009, "Modulating DNA adsorption on silica beads using an electrical switch", Chem. Commun., (7), pp. 800-802 Conference Proceedings Oren Zaak Gall, Daniel S. Schulman and Theresa S Mayer, 2015, "Metal-Oxide Nanowire Sensor Array Integrated on CMOS Integrated Circuits using Deterministic Assembly" Steven Lee, Kurt Qing, Jithin Joseph, Oren Zaak Gall, Ashir Shah, Hansraj Bhamra and Pedro P. Irazoqui, 2012, "Design of application specific integrated circuits for RF powered neural recording and closed loop electrical or optical stimulation" Tao Geng, Ning Bao, Oren Zaak Gall and Chang Lu, 2009, "Modulating DNA Adsorption On Silica Beads in An Electrically Actuated Microfluidic Device" Rebecca A Bercich, Jithin Joseph, Oren Zaak Gall, Jimin Maeng, Young-Joon Kim and Pedro P Irazoqui, , "Implantable device for intramuscular myoelectric signal recording" Research Projects Honors and Awards Service Service to Penn State: Service to External Organizations: diff --git a/src/data/compiled_bios/1497.txt b/src/data/compiled_bios/1497.txt new file mode 100644 index 0000000000..32e61a20a6 --- /dev/null +++ b/src/data/compiled_bios/1497.txt @@ -0,0 +1 @@ + Swaroop Ghosh Monkowski Career Development Assistant Professor of EE Affiliation(s): School of Electrical Engineering and Computer Science Electrical Engineering Computer Science and Engineering 227E Electrical Engineering West szg212@psu.edu 814-865-1298 Personal or Departmental Website Research Areas: Interest Areas: Intersection of circuits, micro-architecture and hardware security using CMOS and post-CMOS Nano-technologies to meet the energy-efficiency and security/privacy of rapidly evolving mobile computing. Education BE, Indian Institute of Technology, Roorkee, India, 2000 MS, University of Cincinnati, 2004 Ph D, Purdue University, 2008 Publications Books Swaroop Ghosh, 2018, Sensing of Non-Volatile Memory Demystified, Springer, pp. 107 Book, Chapters Nasim Khan, Alex Jones, Rashmi Jha and Swaroop Ghosh, 2018, Sensing of Phase-Change Memory, Springer, pp. 22 Anirudh Iyengar and Swaroop Ghosh, 2017, Spin-Transfer-Torque RAM and Domain Wall Memory Devices, Springer, pp. 125145 Anirudh Iyengar and Swaroop Ghosh, 2017, Hardware Trojans and Piracy of PCBs, Springer, pp. 125145 Swaroop Ghosh, 2011, Effect of Variations and Variation Tolerance in Logic Circuits, Springer US, pp. 83108 Journal Articles Jae-won Jang, Asmit De, Anirudh Iyengar, Deepak Vontela, Ithihasa Reddy and Swaroop Ghosh, 2018, "Threshold-defined Logic and Interconnect for Protection against Reverse Engineering", IEEE Transactions on Computer Aided Design, pp. 14 Rekha Govindaraj, Swaroop Ghosh and Srinivas Katkoori, 2018, "Design, Analysis and Application of Embedded Resistive RAM based Strong Arbiter PUF", IEEE Trans. on Dependable and Secure Computing, pp. 12 Anirudh Iyengar, Swaroop Ghosh and Nitin Rathi, 2018, "Magnetic Tunnel Junction Reliability Assessment Under Process Variations and Activity Factors and Mitigation Techniques", Journal of Low Power Electronics, pp. 10 Swaroop Ghosh, Rashmi Jha, Anirudh Iyengar and Rekha Govindraj, 2018, "Design Space Exploration for Selector Diode-STTRAM Crossbar Arrays", IEEE Transactions on Magnetics, pp. 6 Mohammad Nasim Imtiaz Khan, Anirudh S Iyengar and Swaroop Ghosh, 2018, "Novel Magnetic Burn-In for Retention and Magnetic Tolerance Testing of STTRAM", IEEE Trans. on VLSI Systems, pp. 10 Rekha Govindaraj, Swaroop Ghosh and Srinivas Katkoori, 2018, "CSRO based Reconfigurable True Random Number Generator using RRAM", IEEE Trans. on VLSI Systems, pp. 12 Jae-Won Jang and Swaroop Ghosh, 2017, "A Novel Interconnect Camouflaging Technique using Transistor Threshold Voltage", arXiv preprint arXiv:1705.02707 Seyedhamidreza Motaman, Swaroop Ghosh and Nitin Rathi, 2017, "Cache Bypassing and Checkpointing to Circumvent Data Security Attacks on STTRAM", IEEE Transactions on Emerging Topics in Computing, pp. 10 Rekha Govindaraj and Swaroop Ghosh, 2017, "Design and Analysis of STTRAM-Based Ternary Content Addressable Memory Cell", ACM Journal on Emerging Technologies in Computing Systems (JETC), 13, (4), pp. 52 Seyedhamidreza Motaman, Swaroop Ghosh and Jaydeep Kulkarni, 2017, "Impact of Process Variation on Self-Reference Sensing Scheme and Adaptive Current Modulation for Robust STTRAM Sensing", ACM Journal on Emerging Technologies in Computing Systems (JETC), 14, (1), pp. 8 Asmit De, Mohammad Nasim Imtiaz Khan, Jongsun Park and Swaroop Ghosh, 2017, "Replacing eFlash with STTRAM in IoTs: Security Challenges and Solutions", Journal of Hardware and Systems Security, pp. 112 Seyedhamidreza Motaman, Swaroop Ghosh and Jaydeep P Kulkarni, 2017, "VFAB: A Novel 2-Stage STTRAM Sensing Using Voltage Feedback and Boosting", IEEE Transactions on Circuits and Systems I: Regular Papers Seyedhamidreza Motaman and Swaroop Ghosh, 2016, "Adaptive write and shift current modulation for process variation tolerance in domain wall caches", IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 24, (3), pp. 944953 Asmit De, Mohammad Nasim Imtiaz Khan and Swaroop Ghosh, 2016, "Attack resilient architecture to replace embedded Flash with STTRAM in homogeneous IoTs", arXiv preprint arXiv:1606.00467 Nitin Rathi, Asmit De, Helia Naeimi and Swaroop Ghosh, 2016, "Cache bypassing and checkpointing to circumvent data security attacks on STTRAM", arXiv preprint arXiv:1603.06227 Jinil Chung, Kenneth Ramclam, Jongsun Park and Swaroop Ghosh, 2016, "Exploiting serial access and asymmetric read/write of domain wall memory for area and energy-efficient digital signal processor design", IEEE Transactions on Circuits and Systems I: Regular Papers, 63, (1), pp. 91102 Swaroop Ghosh, Rajiv V Joshi, Dinesh Somasekhar and Xin Li, 2016, "Guest Editorial Emerging Memories?Technology, Architecture and Applications (First Issue)", IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 6, (2), pp. 105108 Mohammad Nasim Imtiaz Khan, Swaroop Ghosh, Radha Krishna Aluru and Rashmi Jha, 2016, "Multi-Bit Read and Write Methodologies for Diode-STTRAM Crossbar Array", arXiv preprint arXiv:1606.00470 Swaroop Ghosh, Anirudh Iyengar, Seyedhamidreza Motaman, Rekha Govindaraj, Jae-Won Jang, Jinil Chung, Jongsun Park, Xin Li, Rajiv Joshi and Dinesh Somasekhar, 2016, "Overview of Circuits, Systems, and Applications of Spintronics", IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 6, (3), pp. 265278 Anirudh Iyengar, Swaroop Ghosh and Srikant Srinivasan, 2016, "Retention Testing Methodology for STTRAM", IEEE Design & Test, 33, (5), pp. 715 Swaroop Ghosh and Kenneth Ramclam, 2016, "Robust Self-Collapsing Level-Shifter for Wide Voltage Operation", Journal of Low Power Electronics, 12, (2), pp. 117123 Nitin Rathi, Helia Naeimi and Swaroop Ghosh, 2016, "Side channel attacks on STTRAM and low-overhead countermeasures", arXiv preprint arXiv:1603.06675 Anirudh Iyengar, Swaroop Ghosh, Kenneth Ramclam, Jae-Won Jang and Cheng-Wei Lin, 2016, "Spintronic PUFs for Security, Trust, and Authentication", ACM Journal on Emerging Technologies in Computing Systems (JETC), 13, (1), pp. 4 Swaroop Ghosh, 2016, "Spintronics and Security: Prospects, Vulnerabilities, Attack Models, and Preventions", Proceedings of the IEEE, 104, (10), pp. 18641893 Walden Rhines, Anne Cirkel, Krithi Ramamritham, Xiaobo Sharon Hu, Jiang Hu, Peng Li, Chris Rowen, Shupeng Sun, Xin Li, Hongzhou Liu and others, 2015, "2015 PHIL KAUFMAN AWARD FOR DISTINGUISHED CONTRIBUTIONS TO EDA", Space, 34, (7), pp. 10961109 Fatih Hamzaoglu, Umut Arslan, Nabhendra Bisnik, Swaroop Ghosh, Manoj B Lal, Nick Lindert, Mesut Meterelliyoz, Randy B Osborne, Joodong Park, Shigeki Tomishima and others, 2015, "A 1 Gb 2 GHz 128 Gb/s bandwidth embedded DRAM in 22 nm tri-gate CMOS technology", IEEE Journal of Solid-State Circuits, 50, (1), pp. 150157 Anirudh Srikant Iyengar, Swaroop Ghosh and Kenneth Ramclam, 2015, "Domain wall magnets for embedded memory and hardware security", IEEE Journal on Emerging and Selected Topics in Circuits and Systems, 5, (1), pp. 4050 Seyedhamidreza Motaman, Anirudh Srikant Iyengar and Swaroop Ghosh, 2015, "Domain wall memory-layout, circuit and synergistic systems", IEEE Transactions on Nanotechnology, 14, (2), pp. 282291 Robert Karam, Ruchir Puri, Swaroop Ghosh and Swarup Bhunia, 2015, "Emerging trends in design and applications of memory-based computing and content-addressable memories", Proceedings of the IEEE, 103, (8), pp. 13111330 Swaroop Ghosh, Abhishek Basak and Swarup Bhunia, 2015, "How secure are printed circuit boards against trojan attacks?", IEEE Design & Test, 32, (2), pp. 716 Sandip Tiwari, 2015, "Memories in the Future of Information Processing", Proceedings of the IEEE, 103, (8), pp. 12471249 Anirudh Srikant Iyengar, Swaroop Ghosh and Jae-Won Jang, 2015, "MTJ-based state retentive flip-flop with enhanced-scan capability to sustain sudden power failure", IEEE Transactions on Circuits and Systems I: Regular Papers, 62, (8), pp. 20622068 Cheng-Wei Lin, Jae-Won Jang and Swaroop Ghosh, 2015, "Schmitt-Trigger-based Recycling Sensor and Robust and High-Quality PUFs for Counterfeit IC Detection", arXiv preprint arXiv:1505.03213 Anirudh Iyengar and Swaroop Ghosh, 2015, "Threshold voltage-defined switches for programmable gates", arXiv preprint arXiv:1512.01581 Jayita Das and Swaroop Ghosh, 2014, "Energy barrier model of SRAM for improved energy and error rates", IEEE Transactions on Circuits and Systems I: Regular Papers, 61, (8), pp. 22992308 Swaroop Ghosh, 2014, "Modeling of retention time for high-speed embedded dynamic random access memories", IEEE Transactions on Circuits and Systems I: Regular Papers, 61, (9), pp. 25962604 Swaroop Ghosh and Kaushik Roy, 2011, "Novel low overhead post-silicon self-correction technique for parallel prefix adders using selective redundancy and adaptive clocking", IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 19, (8), pp. 15041507 Swaroop Ghosh and Kaushik Roy, 2010, "Parameter variation tolerance and error resiliency: New design paradigm for the nanoscale era", Proceedings of the IEEE, 98, (10), pp. 17181751 Patrick Ndai, Nauman Rafique, Mithuna Thottethodi, Swaroop Ghosh, Swarup Bhunia and Kaushik Roy, 2010, "Trifecta: A Nonspeculative Scheme to Exploit Common, Data-Dependent Subcritical Paths.", IEEE Trans. VLSI Syst., 18, (1), pp. 5365 Swaroop Ghosh, Debabrata Mohapatra, Georgios Karakonstantis and Kaushik Roy, 2010, "Voltage scalable high-speed robust hybrid arithmetic units using adaptive clocking", IEEE transactions on very large scale integration (VLSI) systems, 18, (9), pp. 13011309 Jing Li, Aditya Bansal, Swaroop Ghosh and Kaushik Roy, 2008, "An alternate design paradigm for low-power, low-cost, testable hybrid systems using scaled LTPS TFTs", ACM Journal on Emerging Technologies in Computing Systems (JETC), 4, (3), pp. 13 CHANG WEN CHEN, HAMID GHARAVI and THOMAS SIKORA, 2008, "IEEE CIRCUITS AND SYSTEMS SOCIETY" Swaroop Ghosh, Swarup Bhunia and Kaushik Roy, 2007, "CRISTA: A new paradigm for low-power, variation-tolerant, and adaptive circuit synthesis using critical path isolation", IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 26, (11), pp. 19471956 Swaroop Ghosh, Swarup Bhunia and Kaushik Roy, 2007, "Low-power and testable circuit synthesis using Shannon decomposition", ACM Transactions on Design Automation of Electronic Systems (TODAES), 12, (4), pp. 47 Swaroop Ghosh, Swarup Bhunia, Arijit Raychowdhury and Kaushik Roy, 2006, "A novel delay fault testing methodology using low-overhead built-in delay sensor", IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 25, (12), pp. 29342943 Vinod Narayanan, Swaroop Ghosh, W-B Jone and Sunil R Das, 2005, "A built-in self-testing method for embedded multiport memory arrays", IEEE transactions on instrumentation and measurement, 54, (5), pp. 17211738 JH Jiang, W-B Jone, Shih-Chieh Chang and Swaroop Ghosh, 2003, "Embedded core test generation using broadcast test architecture and netlist scrambling", IEEE Transactions on Reliability, 52, (4), pp. 435443 Swaroop Ghosh, Rajiv Joshi, Dinesh Somasekhar and Xin Li, , "EMERGING AND SELECTED TOPICS IN CIRCUITS AND SYSTEMS" Saibal Mukhopadhyay, Abhijit Chatterjee, Sudhakar Yalamanchili and Swaroop Ghosh, , "Energy-efficient Adaptive Circuits and Systems" Conference Proceedings Mohammad Nasim Imtiaz Khan, Karthik Ranganathan and Swaroop Ghosh, 2019, "Hardware Trojans in Emerging Non-Volatile Memories", pp. 6 Asmit De, Aditya Basu, Swaroop Ghosh and Trent R Jaeger, 2019, "FIXER: Flow Integrity Extensions for Embedded RISC-V", pp. 6 Abdullah Ash Saki, Mahabubul Alam and Swaroop Ghosh, 2019, "Decoherence Analysis of Multi-Depth and Multi-Qubit Quantum Circuits", pp. 6 Mahabubul Alam and Swaroop Ghosh, 2019, "Securing Sequential Circuit with Timing Obfuscation", pp. 6 Mohammad Nasim Imtiaz Khan and Swaroop Ghosh, 2018, "Test of Supply Noise for Emerging Non-Volatile Memory", pp. 10 Mohammad Nasim Imtiaz Khan and Swaroop Ghosh, 2018, "Analysis of Row Hammer Attack on STTRAM", pp. 8 Abdullah Ash Saki and Swaroop Ghosh, 2018, "How Multi-threshold Designs Can Protect Analog IPs", pp. 8 Hamid Motaman and Swaroop Ghosh, 2018, "Dynamic Computing in Memory (DCIM) in Resistive Crossbar Arrays", pp. 8 Anirudh Iyengar, Deepak Vontela, Ithihasa Reddy, Swaroop Ghosh, Hamid Motaman and Jae-won Jang, 2018, "Threshold Defined Camouflaged Gates in 65nm Technology for Reverse Engineering Protection", International Symposium on Low Power Electronics and Design (ISLPED), pp. 6 Mohammad Nasim Imtiaz Khan and Swaroop Ghosh, 2018, "Information Leakage Attacks on Emerging Non-Volatile Memory and Countermeasures", pp. 6 Srivatsa Srinivasa, Akshay Krishna Ramanathan, Xueqing Li, Wei-Hao Chen, Fu-Kuo Hsueh, Chih-Chao Yang, Chang-Hong Shen, Jia-Min Shieh, Sumeet Gupta, Meng-Fan Marvin Chang, Swaroop Ghosh, Jack Sampson and Vijaykrishnan Narayanan, 2018, "A Monolithic-3D SRAM Design with Enhanced Robustness and In-Memory Computation Support", pp. 6 Mohammad Nasim Imtiaz Khan and Swaroop Ghosh, 2018, "Fault Injection Attacks on Emerging Non-Volatile Memory and Countermeasures", pp. 6 Asmit De, Sung Hao Lin, Anirudh Iyengar, Nasim Imtiaz Khan, Sandeep Thirumala, Swaroop Ghosh and Sumeet Gupta, 2018, "CTCG: Charge-Trap Based Camouflaged Gates for Reverse Engineering Prevention", pp. 6 Mohammad Nasim Imtiaz Khan and Swaroop Ghosh, 2018, "Test Challenges and Solutions for Non-Volatile Memories", pp. 6 Mohammad Nasim Imtiaz Khan, Hamid Motaman and Swaroop Ghosh, 2018, "Novel application of spintronics in computing, sensing, storage and cybersecurity", pp. 6 Anirudh Iyengar and Swaroop Ghosh, 2018, "Time is of the Essence: Protecting IP Secrecy, when the Functionality is Fully Reverse Engineered", pp. 6 Mohammad Nasim Imtiaz Khan, Shivam Bhasin, Alex Yuan, Anupam Chattopadhyay and Swaroop Ghosh, 2017, "Side-Channel Attack on STTRAM based Cache for Cryptographic Application", pp. 8 Nasim Imtiaz Khan, Swaroop Gh andsh, , 2017, "A Side-Channel Attack on STTRAM-based Cache for Cryptographic Application", pp. 4 Asmit De, Swaroop Gh andsh, , 2017, "CTCG: Charge-Trap Based Camouflaged Gates for Reverse Engineering Prevention", pp. 4 Nasim Imtiaz Khan, Swaroop Gh andsh, , 2017, "Row Hammer Attack on Non-Volatile Memory", pp. 4 Swaroop Ghosh and Asmit De, 2017, "Threshold Voltage Defined Multi-Input Camouflaged Gate", pp. 6 Rekha Govindaraj and Swaroop Ghosh, 2017, "Resistive RAM based Physically Unclonable Functions and True Random Number Generators", pp. 4 Hamid Motaman and Swaroop Ghosh, 2017, "Cache Bypassing and Checkpointing to Circumvent Data Security Attacks on STTRAM", pp. 4 Anirudh Iyengar and Swaroop Ghosh, 2017, "Side Channel Attacks on STTRAM and Low-Overhead Countermeasures", pp. 4 Deepak Reddy Vontela, Swaroop Gh andsh, , 2017, "Methodologies to Exploit ATPG Tools for De-camouflaging", IEEE and ACM, pp. 6 Alexander Holst, Jae-won Jang and Swaroop Ghosh, 2017, "Investigation of Magnetic Field Attacks on Commercial Magneto-Resistive Random Access Memory", IEEE and ACM, pp. 6 Radha Krishna Aluru and Swaroop Ghosh, 2017, "DROOP MITIGATING LAST LEVEL CACHE ARCHITECTURE FOR STTRAM", IEEE and ACM, pp. 4 Mohammad Nasim Imtiaz Khan, Anirudh S Iyengar and Swaroop Ghosh, 2017, "Novel magnetic burn-in for retention testing of STTRAM", pp. 666669 Swaroop Ghosh and Xin Li, 2017, "Session 13?Security circuits and systems", pp. 11 Asmit De and Swaroop Ghosh, 2017, "Threshold voltage defined multi-input complex gates", pp. 164164 Jae-won Jang, Asmit De, Swaroop Gh andsh, , 2016, "Recent Trends in Intellectual Property (IP) Protection from Reverse Engineering", IEEE and ACM, pp. 6 Swaroop Ghosh, Anirudh Iyen andar, , 2016, "Authentication of Printed Circuit Boards", IEEE and ACM, pp. 6 Anirudh Iyengar, Nitin Rathi, Swaroop Ghosh and Helia Naeimi, 2016, "Side channel attacks on STTRAM and low-overhead countermeasures", IEEE, pp. 6 Jae-won Jang and Swaroop Ghosh, 2016, "Improving Robustness of STTRAM Under Magnetic and Thermal Attack", pp. 4 Rekha Govindaraj, Swaroop Ghosh, and , , 2016, "A strong arbiter PUF using resistive RAM", pp. 4 Anirudh Iyengar, Swaroop Gh andsh, , 2016, "Retention Testing Methodology for STTRAM", pp. 4 Swaroop Ghosh, Rekha Govindaraj, and , , 2016, "A Strong Arbiter PUF using Resistive RAM", IEEE and ACM, pp. 6 Ithihasa Reddy Nirmala, Deepak Vontela, Swaroop Ghosh and Anirudh Iyengar, 2016, "A novel threshold voltage defined switch for circuit camouflaging", pp. 12 Rekha Govindaraj and Swaroop Ghosh, 2016, "A strong arbiter PUF using resistive RAM within 1T-1R memory architecture", pp. 141148 Anirudh Srikant Iyengar and Swaroop Ghosh, 2016, "Authentication of Printed Circuit Boards" Nitin Rathi, Swaroop Ghosh, Anirudh Iyengar and Helia Naeimi, 2016, "Data privacy in non-volatile cache: Challenges, attack models and solutions", pp. 348353 Jinil Chung, Jongsun Park and Swaroop Ghosh, 2016, "Domain wall memory based convolutional neural networks for bit-width extendability and energy-efficiency", pp. 332337 Osnat Keren, Ilia Polian and Mark M Tehranipoor, 2016, "Hardware Security (Dagstuhl Seminar 16202)", 6, (5) Jae-Won Jang and Swaroop Ghosh, 2016, "Performance impact of magnetic and thermal attack on STTRAM and low-overhead mitigation techniques", pp. 136141 Swaroop Ghosh, Mohammad Nasim Imtiaz Khan, Asmit De and Jae-Won Jang, 2016, "Security and privacy threats to on-chip Non-Volatile Memories and countermeasures", pp. 16 Cheng Wei Lin and Swaroop Ghosh, 2015, "A family of Schmitt-Trigger-based arbiter-PUFs and selective challenge-pruning for robustness and quality", pp. 3237 Seyedhamidreza Motaman, Swaroop Ghosh and Jaydeep P Kulkarni, 2015, "A novel slope detection technique for robust STTRAM sensing", pp. 712 Rekha Govindaraj and Swaroop Ghosh, 2015, "Design and analysis of 6-T 2-MTJ ternary content addressable memory", pp. 309314 Jae-Won Jang and Swaroop Ghosh, 2015, "Design and analysis of novel SRAM PUFs with embedded latch for robustness", pp. 298302 Jinil Chung, Kenneth Ramclam, Jongsun Park and Swaroop Ghosh, 2015, "Domain wall memory based digital signal processors for area and energy-efficiency", pp. 6 Seyedhamidreza Motaman, Swaroop Ghosh and Nitin Rathi, 2015, "Impact of process-variations in STTRAM and adaptive boosting for robustness", pp. 14311436 Cheng Wei Lin and Swaroop Ghosh, 2015, "Novel self-calibrating recycling sensor using schmitt-trigger and voltage boosting for fine-grained detection", pp. 465469 Jae-Won Jang, Jongsun Park, Swaroop Ghosh and Swarup Bhunia, 2015, "Self-correcting STTRAM under magnetic field attacks", pp. 16 Swaroop Ghosh and Rekha Govindaraj, 2015, "Spintronics for associative computation and hardware security", pp. 14 Fatih Hamzaoglu, Umut Arslan, Nabhendra Bisnik, Swaroop Ghosh, Manoj B Lal, Nick Lindert, Mesut Meterelliyoz, Randy B Osborne, Joodong Park, Shigeki Tomishima and others, 2014, "13.1 a 1Gb 2GHz embedded DRAM in 22nm tri-gate CMOS technology", pp. 230231 Kenneth Ramclam and Swaroop Ghosh, 2014, "Design and analysis of robust and wide operating low-power level-shifter for embedded dynamic random access memory", pp. 123128 Anirudh Iyengar, Kenneth Ramclam and Swaroop Ghosh, 2014, "DWM-PUF: A low-overhead, memory-based security primitive", pp. 154159 Anirudh Iyengar and Swaroop Ghosh, 2014, "Modeling and analysis of domain wall dynamics for robust and low-power embedded memory", pp. 16 Seyedhamidreza Motaman and Swaroop Ghosh, 2014, "Simultaneous sizing, reference voltage and clamp voltage biasing for robustness, self-calibration and testability of STTRAM arrays", pp. 12 Seyedhamidreza Motaman, Anirudh Iyengar and Swaroop Ghosh, 2014, "Synergistic circuit and system design for energy-efficient and robust domain wall caches", pp. 195200 Swaroop Ghosh, 2014, "Tutorial t6b: Embedded memory design for future technologies: Challenges and solutions", pp. 1415 Veena S Chakravarthi and Swaroop Ghosh, 2013, "Circuit Design Methodologies for Test Power Reduction in Nano-Scaled Technologies", pp. 139149 Swaroop Ghosh, 2013, "Design methodologies for high density domain wall memory", pp. 3031 Swaroop Ghosh, 2013, "Energy centric model of sram write operation for improved energy and error rates", pp. 14 Swaroop Ghosh, 2013, "Path to a TeraByte of on-chip memory for petabit per second bandwidth with< 5watts of power", pp. 145 Yih Wang, Umut Arslan, Nabhendra Bisnik, Ruth Brain, Swaroop Ghosh, Fatih Hamzaoglu, Nick Lindert, Mesut Meterelliyoz, Joodong Park, Shigeki Tomishima and others, 2013, "Retention time optimization for eDRAM in 22nm tri-gate CMOS technology", pp. 95 Yih Wang, Eric Karl, Mesut Meterelliyoz, Fatih Hamzaoglu, Yong-Gee Ng, Swaroop Ghosh, Liqiong Wei, Uddalak Bhattacharya and Kevin Zhang, 2011, "Dynamic behavior of SRAM data retention and a novel transient voltage collapse technique for 0.6 V 32nm LP SRAM", pp. 321 Ashish Goel, Swaroop Ghosh, Mesut Meterelliyoz, Jeff Parkhurst and Kaushik Roy, 2011, "Integrated Design & Test: Conquering the Conflicting Requirements of Low-Power, Variation-Tolerance and Test Cost", pp. 486491 Nilanjan Banerjee, Saumya Chandra, Swaroop Ghosh, Sujit Dey, Anand Raghunathan and Kaushik Roy, 2009, "Coping with variations through system-level design", pp. 581586 Swaroop Ghosh, Patrick Ndai and Kaushik Roy, 2008, "A novel low overhead fault tolerant Kogge-Stone adder using adaptive clocking", pp. 366371 Swaroop Ghosh and Kaushik Roy, 2008, "Exploring high-speed low-power hybrid arithmetic units at scaled supply and adaptive clock-stretching", pp. 635640 Swaroop Ghosh, Jung-Hwan Choi, Patrick Ndai and Kaushik Roy, 2008, "O 2 C: occasional two-cycle operations for dynamic thermal management in high performance in-order microprocessors", pp. 189192 Jing Li, Swaroop Ghosh and Kaushik Roy, 2007, "A generic and reconfigurable test paradigm using low-cost integrated poly-Si TFTs", pp. 110 Swaroop Ghosh, Pooja Batra, Keejong Kim and Kaushik Roy, 2007, "Process-tolerant low-power adaptive pipeline under scaled-Vdd", pp. 733736 Swaroop Ghosh, Patrick NDai, Swarup Bhunia and Kaushik Roy, 2007, "Tolerance to small delay defects by adaptive clock stretching", pp. 244252 Swaroop Ghosh, Swarup Bhunia and Kaushik Roy, 2006, "A new paradigm for low-power, variation-tolerant circuit synthesis using critical path isolation", pp. 619624 Swaroop Ghosh, Swarup Bhunia, Arijit Raychowdhury and Kaushik Roy, 2006, "Delay fault localization in test-per-scan BIST using built-in delay sensor", pp. 6pp Saibal Mukhopadhyay, Swaroop Ghosh, Keejong Kim and Kaushik Roy, 2006, "Low-power and process variation tolerant memories in sub-90nm technologies", pp. 155159 Swaroop Ghosh, Saibal Mukhopadhyay, Keejong Kim and Kaushik Roy, 2006, "Self-calibration technique for reduction of hold failures in low-power nano-scaled SRAM", pp. 971976 Arijit Raychowdhury, Swaroop Ghosh and Kaushik Roy, 2005, "A novel on-chip delay measurement hardware for efficient speed-binning", pp. 287292 Swaroop Ghosh, Swarup Bhunia and Kaushik Roy, 2005, "Shannon expansion based supply-gated logic for improved power and testability", pp. 404409 Swaroop Ghosh, KW Lai, Wen-Ben Jone and Shih-Chieh Chang, 2004, "Scan chain fault identification using weight-based codes for SoC circuits", pp. 210215 Other Swaroop Ghosh, Rajiv V Joshi, Dinesh Somasekhar and Xin Li, 2016, "Emerging Memories-Technology, Architecture and Applications (First Issue)" Swaroop Ghosh, 2008, "Voltage-scalable adaptive system design for low power and error resilience in nanometer technologies" Research Projects Honors and Awards Monkowski CAREER Development Professorship, July 2018 - June 2021 Outstanding Research Achievement Award, University of South Florida, August 2015 CoE Outstanding Research Achievement Award, University of South Florida, August 2015 Joel and Ruth Spira Award for Excellence in Teaching, Lutron Foundation, 2018 Outstanding New Faculty Award, ACM SIGDA, June 2016 DARPA Young Faculty Award, DARPA, 2015 DARPA Young Faculty Award Director's Fellowship, DARPA, 2017 Departmental Recognition Award, Intel, 2012 Divisional Recognition Award, Intel, 2011 Technology and Manufacturing Group Excellence Award, Intel, 2010 Service Service to Penn State: Committee Work, Member, Graduate committee member, August 2018 Committee Work, Member, Ethics committee, July 2018 Committee Work, Member, Law, Policy and Engineering Working Group Member, December 2018 Committee Work, Member, Safety committee member, September 2017 Committee Work, Member, Outreach committee member, September 2017 Other, Reviewer, Served as reviewer of College of Engineering Research Symposium, March 2017 Service to External Organizations: Organizing Conferences and Service on Conference Committees, Chairperson, Program Chair, International Symposium on Quality Electronic Design (ISQED), 2018 - 2019 Organizing Conferences and Service on Conference Committees, Organizer, Track chair, IEEE Custom Integrated Circuits Conference, July 2017 Organizing Conferences and Service on Conference Committees, Co-Chairperson, Program co-chair, International Symposium on Quality Electronic Design (ISQED), 2017 - 2018 Organizing Conferences and Service on Conference Committees, Organizer, Panel organizer, IEEE Custom Integrated Circuits Conference, September 2016 Organizing Conferences and Service on Conference Committees, Co-Chairperson, Track Chair, IEEE International Symposium on Low Power Electronic Design, August 2016 diff --git a/src/data/compiled_bios/1498.txt b/src/data/compiled_bios/1498.txt new file mode 100644 index 0000000000..ddb9543085 --- /dev/null +++ b/src/data/compiled_bios/1498.txt @@ -0,0 +1 @@ + C. Lee Giles David Reese Professor at the College of Information Sciences and Technology Affiliation(s): School of Electrical Engineering and Computer Science Computer Science and Engineering 311A Westgate Building clg20@psu.edu 814-865-7884 Personal or Departmental Website Research Areas: Interest Areas: His current research and research group interests are in intelligent information processing systems diff --git a/src/data/compiled_bios/1499.txt b/src/data/compiled_bios/1499.txt new file mode 100644 index 0000000000..8e31ac2671 --- /dev/null +++ b/src/data/compiled_bios/1499.txt @@ -0,0 +1 @@ + Mahanth Gowda Assistant Professor Affiliation(s): School of Electrical Engineering and Computer Science Computer Science and Engineering W314 Westgate Building mkg31@psu.edu 814-863-0608 Personal or Departmental Website Research Areas: Interest Areas: Wireless Networking, Internet of Things (IoT), Wearable and Mobile Computing, Drones and Cyber Physical Systems, Mobile Security, Applications of Machine Learning diff --git a/src/data/compiled_bios/15.txt b/src/data/compiled_bios/15.txt new file mode 100644 index 0000000000..8c3fc5fc90 --- /dev/null +++ b/src/data/compiled_bios/15.txt @@ -0,0 +1 @@ + Forward Data Lab Search this site Home Research Publications People Demos Code/Datasets Home Sitemap Kevin Chen-Chuan Chang Professor, Computer Science, University of Illinois at Urbana-Champaign 2134 Siebel Center 201 N. Goodwin Avenue Urbana, IL 61801-2302 Phone: (217) 244-2919 E-mail: kcchang (at) illinois (dot) edu Assistant: Donna Coleman Office: 2106 SC Phone: (217) 244-8837 Fax: (217) 265-6494 E-mail: donnakc (at) illinois (dot) edu Research | Classes | Publications | Bio. Kevin C.C. Chang is a Professor in Computer Science , University of Illinois at Urbana-Champaign , where he leads the FORWARD Data Lab for search, integration, and mining of data. He received a BS from National Taiwan University and PhD from Stanford University , in Electrical Engineering. His research addresses large scale information access, for search, mining, and integration across structured and unstructured big data, with current focuses on "entity-centric" Web search/mining and social media analytics. He received two Best Paper Selections in VLDB 2000 and 2013, an NSF CAREER Award in 2002, an NCSA Faculty Fellow Award in 2003, IBM Faculty Awards in 2004 and 2005, Academy for Entrepreneurial Leadership Faculty Fellow Award in 2008, and the Incomplete List of Excellent Teachers at University of Illinois in 2001, 2004, 2005, 2006, 2010, and 2011. He is passionate to bring research results to the real world and, with his students, co-founded Cazoodle , a startup from the University of Illinois, for deepening vertical "data-aware" search over the web. News and Highlights (August 2018) Chaochao Chen, who visited the group two years back-- got his work accepted to TKDD: S emi-supervised Learning Meets Factorization: Learning to Recommend with Chain Graph Model . Good job. Congrats Chaochao and Xiaolin Zheng. (February 2018) Congrats Mangesh and folks! The paper of the foundational data modeling for DataSpread will go to Paris for ICDE 2018. Get PDF . (January 2018) Looking for a survey for graph embedding? Look no further. Congrats to Hongyun and Vincent for the brand new survey-- comprehensive and full of insights :) Will appear in TKDE. Get PDF . (December 2017) DataSpread Fall 2017 release. Check it out! New features include navigation of large spreadsheets, improved data importing, formatting, asynchronous formula evaluation, and multi-user access. (January 2017) What is a "community"? What distinguishes one communityfrom another? We proposed the interesting problem of community profiling -- and -- and it just got accepted to VLDB 2017! Congrats Vincent and Hongyun! Get PDF . (January 2017) Our DataSpread project -- Interactive Database via Spreadsheet -- just made the first release! Check out Release 0.1 . (October 2016) Our paper " Semantic Proximity Search on Heterogeneous Graph by Proximity Embedding " is accepted to AAAI 2017 !Get PDF . (September 2016)Thanks NSF! Our DataSpread: Enabling Interactive Big Data Management project is awarded NSF Award 1633755 , $1,795,429, BIGDATA: F: Bringing Interactive Data Management to Scientists, Analysts, and the Masses: A Holistic Unification of Spreadsheets and Databases. PI: Kevin C.C. Chang , and Co-PIs Karrie Karahalios and Aditya Parameswara . News . ( August 2016) Thanks NSF! Our BigSocial: Towards Big Social Data Platform for Entity-Centric and User-Aware Analytics project is awarded NSF Award 1619302 , $500,000, III: Small: Social Discovery of Users and Content in Social Media Through Similarity-Based and Graph-Based Inference of Attributes and Queries . PI: Kevin C.C. Chang . News . Research. I lead the FORWARD Group , which is part of the larger Data and Information Systems Laboratories , at the CS department of UIUC. Our research overall aims at bridging structured and unstructured big data --- to bring structured/semantic-rich access to the myriad and massive unstructured data which accounts for most of the world's information. Therefore, o ur research spans across data mining, data management/databases , information retrieval, machine learning , with current efforts focusing on interactive data management , entity-centric Web search and mining , social media analytics, and social network mining . As our objectives, we aim at developing novel systems, principled algorithms, and formal theories that ultimately deliver real world applications. As our approaches, we seek to be inspired by and learn from the data we are tackling-- i.e., we believe the key to tame big data is to learn the wisdom hidden in the large scale of the data. Research Projects Publications @GoogleScholar , @DBLP Productization Founded Cazoodle : Search, integrate, and organize the real world, a UIUC startup aiming at bringing forward data-aware search , the objectives of the MetaQuerier and WISDM projects, to the world. Current product: Grant ForwardFunding Opportunity Search and Recommendation Service Classes. I teach database systems and data mining, with the following recent courses. CS511 Advanced Data Management, Spring 2018 CS411 Database Systems, Fall 2017 CS412 Introduction to Data Mining, Summer 2016 PhD/PostdocAlumni Vincent Wenchen Zheng . Postdoc Scientist. August 2017 . First employment: Research Scientist, Advanced Digital Sciences Center , Singapore. Yuan Fang ,Walking Forward and Backward: Towards Graph-based Searching and Mining. July 2014. First employment: Research Staff, A*STAR, Singapore. Mianwei Zhou ,Entity-Centric Search: Querying By Entities and For Entities.July 2014.First employment: Research Staff, Yahoo! Labs, Sunnyvale, California. Rui Li , Towards a General Platform for Analyzing Social Media . Dec. 2013. First employment: Research Staff,Yahoo! Labs, Sunnyvale, California. Hady W. Lauw . Postdoc Scientist. Nov. 2011. First employment: Assistant Professor, Singapore Management University, Singapore. Tao Cheng , Toward Entity-Aware Search , Jun. 2010. First employment: Research Staff,Microsoft Research, Redmond, Washington. Chengkai Li , Enabling Data Retrieval: By Ranking and Beyond , Jun. 2006. First employment: Assistant Professor, University of Texas at Arlington,Arlington, Texas. Zhen Zhang , Large Scale Information Integration on the Web: Finding, Understanding and Querying Web Databases , Dec. 2006. First employment: CTO, Cazoodle Inc., Champaign, Illinois. Bin He , A Holistic Paradigm for Large Scale Schema Matching , Jun. 2006. First employment: Research Staff,IBM Almaden Research Center, San Jose, California. Seung-won Hwang , Supporting Ranking for Data Retrieval , Jun. 2005. First employment: Assistant Professor, Pohang University of Science and Technology,Pohang, Gyeongbuk, Korea. Awards Best-Papers Selection, VLDB 2013. Academy of Entrepreneurial Leadership Faculty Fellow Award, 2008. IBM Faculty Award, 2004, 2005. NCSA (National Center for Supercomputing Applications) Faculty Fellows Award, 2003. National Science Foundation CAREER Award 2002. UIUC List of Teachers Ranked as Excellent by Their Students, Fall 2001, Spring 2004, Fall 2005, Spring 2006, Fall 2010, Fall 2011. Best-Papers Selection, VLDB 2000. Philips Research FMA Fellowship, 1996 - 1998. Services Associate Editor for PVLDB 2015, Apr. 2014 -- Mar. 2015. Associate Editor for IEEE Transactions on Knowledge and Data Engineering , Jan. 2013 -- Present. Track Chairs/Senior PC Members : WWW2014 (Workshop Track), AAAI 2013 ("AI and the Web" track), WWW 2013 ("Bridging Structured and Unstructured Data" Track), WSDM 2012 (Best Paper Award Committee), ICDE 2011 (Demo Track), WSDM 2011, KDD 2010. PC Members for SIGMOD, VLDB, ICDE, KDD, ICDM, WWW, SIGIR, WSDM, CIKM, AAAI in recent years. Talks From Information Extraction Research to Vertical Search Products: The Semantic Gap is More Than the Structure Divide. Keynote Talk,Fourth Workshop on Data Extraction and Object Search, WWW 2014, April 2014. [ Slides ] Keynote Talk,Vertical Search Relevance Workshop, WWW 2014, April 2014. Tutorial: Towards a Social Media Analytics Platform: Event Detection and User Profiling for Twitter , Tutorial at WWW 2014, April 2014. Tutorial: Data-Aware Search over the Web: Large-Scale Mining and Integration , Short Course at ADSC, January 2010. URL: http://www-faculty.cs.illinois.edu/~kcchang Sign in | Recent Site Activity | Report Abuse | Print Page | Powered By Google Sites diff --git a/src/data/compiled_bios/150.txt b/src/data/compiled_bios/150.txt new file mode 100644 index 0000000000..77a87c589e --- /dev/null +++ b/src/data/compiled_bios/150.txt @@ -0,0 +1 @@ + Rania Hussein, Ph.D. Lecturer Department of Electrical Engineering University of Washington Campus Box 352500 185 Stevens Way Paul Allen Center Seattle, WA 98195-2500 Affiliation : IEEE Senior member Research Interest: Image processing, embedded systems, and machine learning. Email: rhussein@ee.washington.edu Phone: 206-616-9950 Office : Room CSE 234 Linkedin YouTube Channel Courses Taught: EE 271 Digital Circuit Theory CSE/EE 474 Introduction to Embedded Systems BEE 515: Image Processing Applications BEE 525: Embedded Systems Design. BEE 425: Microprocessors System Design BEE 332: Devices and Circuits II Education: Certificate in Project management, University of Washington, Seattle, WA 2017 Ph.D.Electrical Engineering , Old Dominion University, Norfolk, VA, 2006. M.S. Computer Science , Old Dominion University, Norfolk, VA, 2000 B.S. Computer Engineering , Arab Academy for Science and Technology, Alexandria, Egypt, 1997 Community Service : I have founded and currently lead an initiative called Many Cultures One Community to promote diversity and inclusion through art, culture, and history; a branch of the Muslim Association of Puget Sound . I am always looking to collaborate with talented volunteers of all backgrounds who share the same interest so feel free to contact me if you want to be part of the team. Causes I care about : Engineering Education, Diversity, Retention of women and minorities in STEM fields. Recent Honor : Distinguished Teaching Award Finalist, University of Washington Bothell, 2017. Recent Publication : Viswanathan, Vidya; Hussein, Rania. Application of Image Processing and real-time embedded systems in autonomous cars: a short review , International Journal of Image Processing (IJIP), Volume 11, issue 1, January 2017. Recent News: In 2017, I supported and promoted the idea of offering a night exam during the month of Ramadan for Muslim students while making the accommodation available to all students. This initiative was originally proposed by UWB biology professor Bryan White. The idea received extensive local, national, and international media coverage. This resulted in a change of policy at UW-Bothell to adopt this accommodation to become mandatory as of 2018. You can read more about this story in Seattle Times and PJ Media diff --git a/src/data/compiled_bios/1500.txt b/src/data/compiled_bios/1500.txt new file mode 100644 index 0000000000..6e6def80df --- /dev/null +++ b/src/data/compiled_bios/1500.txt @@ -0,0 +1 @@ + Sean Hallgren Professor Affiliation(s): School of Electrical Engineering and Computer Science Computer Science and Engineering W350 Westgate Building sjh26@psu.edu 814-863-1265 Personal or Departmental Website Research Areas: Interest Areas: Quantum computation, Theoretical computer science. Education BS, Computer Science, Carnegie Mellon University, 1994 Ph D, Computer Science, University of California, Berkeley, 2000 Publications Books , 2008, Encyclopedia of Algorithms, Springer Book, Chapters Sean Hallgren and U. Vollmer, 2009, Quantum Computing, Springer, pp. 15-34 Sean Hallgren, 2008, Quantum Algorithm for Factoring, pp. 689 Sean Hallgren, 2008, Quantum Algorithm for Solving the Pells Equation Sean Hallgren, 2008, Quantum Algorithms for Class Group of a Number Field, pp. 694-696 Sean Hallgren, 2008, Quantum Algorithm for Solving the Pells Equation, pp. 698-700 Journal Articles Sean Hallgren, Adam D Smith and Fang Song, 2015, "Classical Cryptographic Protocols in a Quantum World", CoRR Sean Hallgren, Adam D Smith and Fang Song, 2015, "Classical Cryptographic Protocols in a Quantum World", IACR Cryptology ePrint Archive, 2015, pp. 687 Sean Hallgren, Adam D Smith and Fang Song, 2015, "Classical Cryptographic Protocols in a Quantum World", International Journal of Quantum Information, 13, (4) Kirsten Eisentrger, Sean Hallgren and Kristin E. Lauter, 2014, "Weak Instances of PLWE", IACR Cryptology ePrint Archive, 2014, pp. 784 S. Hallgren, D. Nagaj and S. Narayanaswami, 2013, "The Local Hamiltonian Problem on a Line with Eight States is QMA-Complete", Quantum Information & Computation, 13, (9/10) S. Hallgren, C. Moore, M. Rotteler, A. Russell and P. Sen, 2010, "Limitations of Quantum Coset States for Graph Isomorphism", 57, (6) Sean Hallgren, 2007, "Polynomial-time quantum algorithms for Pells equation and the principalideal problem", Journal of the ACM, 54, (1), pp. 1-19 S. Hallgren, 2007, "The Local Hamiltonian Problem on a Line with Eight States is QMA-Complete", 54, (1) Sean Hallgren, 2007, "Polynomial-time quantum algorithms for Pells equation and the principal ideal problem", J. ACM, 54, (1) W. van Dam, Sean Hallgren and L. Ip, 2006, "Quantum Algorithms for Some Hidden Shift Problems", 36, (3) S. Hallgren, A. Russell and A. Ta-Shma, 2003, "The Hidden Subgroup Problem and Quantum Computation Using Group Representations", 32, (4) Wim van Dam and Sean Hallgren, 2000, "Efficient Quantum Algorithms for Shifted Quadratic Character Problems", CoRR, quant-ph/0011067 Conference Proceedings Nai-Hui Chia and Sean Hallgren, 2016, "How Hard Is Deciding Trivial Versus Nontrivial in the Dihedral Coset Problem?", Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik, Dagstuhl, Germany, Germany, 61, pp. 16 Kirsten Eisentrger, Sean Hallgren and Kristin Lauter, 2014, "Weak instances of PLWE", pp. 12 Kirsten Eisentrger, Sean Hallgren, Alexei Kitaev and Fang Song, 2014, "A quantum algorithm for computing the unit group of an arbitrary degree number field", pp. 293302 , 2014, "Selected Areas in Cryptography - SAC 2014 - 21st International Conference, Montreal, QC, Canada, August 14-15, 2014, Revised Selected Papers", Springer, 8781 , 2014, "Symposium on Theory of Computing, STOC 2014, New York, NY, USA, May 31 - June 03, 2014", ACM S. Hallgren and K. Eisentraeger, 2012, "Computing the Unit Group, Class Group, and Compact Representations in Algebraic Function Fields" Sean Hallgren, Adam D Smith and Fang Song, 2011, "Classical Cryptographic Protocols in a Quantum World", pp. 411428 , 2011, "Advances in Cryptology - CRYPTO 2011 - 31st Annual Cryptology Conference, Santa Barbara, CA, USA, August 14-18, 2011. Proceedings", Springer, 6841 Sean Hallgren, A. Smith and F. Song, 2011, "Classical Cryptographic Protocols in a Quantum World", Proceedings of the Fourteenth Workshop on Quantum Information Processing (QIP 2011), pp. 18 Kirsten Eisentrger and Sean Hallgren, 2010, "Algorithms for Ray Class Groups and Hilbert Class Fields", pp. 471483 , 2010, "Proceedings of the Twenty-First Annual ACM-SIAM Symposium on Discrete Algorithms, SODA 2010, Austin, Texas, USA, January 17-19, 2010", SIAM Sean Hallgren, Alexandra Kolla, Pranab Sen and Shengyu Zhang, 2008, "Making Classical Honest Verifier Zero Knowledge Protocols Secure againstQuantum Attacks", pp. 592603 Sean Hallgren and Aram Wettroth Harrow, 2008, "Superpolynomial Speedups Based on Almost Any Quantum Circuit", pp. 782795 , 2008, "Automata, Languages and Programming, 35th International Colloquium, ICALP 2008, Reykjavik, Iceland, July 7-11, 2008, Proceedings, Part I: Tack A: Algorithms, Automata, Complexity, and Games", Springer, 5125 , 2008, "Automata, Languages and Programming, 35th International Colloquium, ICALP 2008, Reykjavik, Iceland, July 7-11, 2008, Proceedings, Part II - Track B: Logic, Semantics, and Theory of Programming & Track C: Security and Cryptography Foundations", Springer, 5126 Sean Hallgren, Alexandra Kolla, Pranab Sen and Shengyu Zhang, 2008, "Making Classical Honest Verifier Zero Knowledge Protocols Secure against Quantum Attacks", pp. 592603 Sean Hallgren, Cristopher Moore, Martin Rtteler, Alexander Russell and Pranab Sen, 2006, "Limitations of quantum coset states for graph isomorphism", pp. 604617 , 2006, "Proceedings of the 38th Annual ACM Symposium on Theory of Computing, Seattle, WA, USA, May 21-23, 2006", ACM Sean Hallgren, Alexander Russell and Igor Shparlinski, 2005, "Quantum Noisy Rational Function Reconstruction", pp. 420429 Sean Hallgren, 2005, "Fast quantum algorithms for computing the unit group and class groupof a number field", pp. 468474 , 2005, "Proceedings of the 37th Annual ACM Symposium on Theory of Computing, Baltimore, MD, USA, May 22-24, 2005", ACM , 2005, "Computing and Combinatorics, 11th Annual International Conference, COCOON 2005, Kunming, China, August 16-29, 2005, Proceedings", Springer, 3595 Sean Hallgren, 2005, "Fast quantum algorithms for computing the unit group and class group of a number field", pp. 468474 , 2003, "Proceedings of the Fourteenth Annual ACM-SIAM Symposium on Discrete Algorithms, January 12-14, 2003, Baltimore, Maryland, USA", ACM/SIAM Wim van Dam, Sean Hallgren and Lawrence Ip, 2003, "Quantum algorithms for some hidden shift problems", pp. 489498 Sean Hallgren, 2002, "Polynomial-time quantum algorithms for Pells equation and the principalideal problem", pp. 653658 Sean Hallgren, 2002, "Polynomial-time quantum algorithms for Pells equation and the principal ideal problem", pp. 653658 , 2002, "Proceedings on 34th Annual ACM Symposium on Theory of Computing, May 19-21, 2002, Montral, Qubec, Canada", ACM Lisa Hales and Sean Hallgren, 2000, "An Improved Quantum Fourier Transform Algorithm and Applications", pp. 515525 Sean Hallgren, Alexander Russell and Amnon Ta-Shma, 2000, "Normal subgroup reconstruction and quantum computation using grouprepresentations", pp. 627635 , 2000, "41st Annual Symposium on Foundations of Computer Science, FOCS 2000, 12-14 November 2000, Redondo Beach, California, USA", IEEE Computer Society Sean Hallgren, Alexander Russell and Amnon Ta-Shma, 2000, "Normal subgroup reconstruction and quantum computation using group representations", pp. 627635 , 2000, "Proceedings of the Thirty-Second Annual ACM Symposium on Theory of Computing, May 21-23, 2000, Portland, OR, USA", ACM Lisa Hales and Sean Hallgren, 1999, "Quantum Fourier Sampling Simplified", pp. 330338 , 1999, "Proceedings of the Thirty-First Annual ACM Symposium on Theory of Computing, May 1-4, 1999, Atlanta, Georgia, USA", ACM Other Kirsten Eisentraeger, Sean Hallgren and Travis Morrison, 2017, "On the Hardness of Computing Endomorphism Rings of Supersingular Elliptic Curves" Kirsten Eisentraeger, Sean Hallgren, Kristin Lauter, Travis Morrison and Christophe Petit, , "Supersingular Isogeny Graphs and Endomorphism Rings: Reductions and Solutions" Research Projects Honors and Awards Service Service to Penn State: Service to External Organizations: diff --git a/src/data/compiled_bios/1501.txt b/src/data/compiled_bios/1501.txt new file mode 100644 index 0000000000..69bf9df0b8 --- /dev/null +++ b/src/data/compiled_bios/1501.txt @@ -0,0 +1 @@ + John Hannan Associate Department HeadAssociate Professor Affiliation(s): School of Electrical Engineering and Computer Science Computer Science and Engineering W331 Westgate Building jjh9@psu.edu 814-863-0702 Personal or Departmental Website Research Areas: Interest Areas: App Development, Programming language semantics and implementation, Program analysis and verification, Logic and computation, Functional programming. Education Ph D, Computer Science, University of Pennsylvania, 1990 Publications Journal Articles A. Fischbach and John J Hannan, 2003, "Specification and Correctness of Lambda Lifting", Journal of Functional Programming, 13, (3), pp. 509-543 Conference Proceedings B. Sun, A. R. Hurson and John J Hannan, 2004, "Energy-Efficient Scheduling Algorithms of Object Retrieval on Indexed Parallel Broadcast Channels", Proceedings of the International Conference on Parallel Processing (ICPP 2004), pp. 440-447 John J Hannan, 2001, "On Extracting Static Semantics", Proceedings of the Seventeenth Conference on the Mathematical Foundations of Programming Semantics (MFPS 2001), 45, (2001) A. Fischbach and John J Hannan, 2001, "Type Systems for Useless-Variable Elimination", Proceedings of the Symposium on Programs as Data Objects (PADO II), 2053, pp. 25-38 John J Hannan and P. Hicks, 2000, "Higher-Order UnCurrying", Journal of Higher-Order and Symbolic Computation, 13, (3), pp. 179-216 A. Fischbach and John J Hannan, 2000, "Higher-Order Lambda Lifting", Workshop on Semantics, Applications and Implementation of Program Generation (SAIG 2000), 1924, pp. 108-128 A. R. Hurson, Y. C. Chehadeh and John J Hannan, 2000, "Object Organization on Parallel Broadcast Channels in a Global Information Sharing Environment", Proceedings of the Nineteenth IEEE International Performance, Computing, and Communications Conference (IPCCC 2000), pp. 347-353 Research Projects Honors and Awards Service Service to Penn State: Service to External Organizations: diff --git a/src/data/compiled_bios/1502.txt b/src/data/compiled_bios/1502.txt new file mode 100644 index 0000000000..5d783947ed --- /dev/null +++ b/src/data/compiled_bios/1502.txt @@ -0,0 +1 @@ + Ting He Associate Professor Affiliation(s): School of Electrical Engineering and Computer Science Computer Science and Engineering W334 Westgate Building tzh58@psu.edu 814-865-1265 Research Areas: Interest Areas: Statistical inference, information theory, control theory, online learning, and graph theory Education BS, Computer Science, Peking University, 2003 Ph D, Electrical Engineering, Cornell University, 2007 Publications Journal Articles S. Achleitner, N. Bartolini, Ting He, T. La Porta and D. Z. Tootaghaj, 2018, "Fast Network Configuration in Software Defined Networking", IEEE Transactions on Network and Service Management, 15, (4), pp. 1249 - 1263 S. Shukla, O. Bhardwaj, A. Abouzeid, T. Salonidis and Ting He, 2018, "Proactive Retention-Aware Caching with Multi-path Routing for Wireless Edge Networks", IEEE JSAC Special Issue on Caching for Communication Systems and Networks 2017, 36, (6), pp. 1286 - 1299 Ting He, E N Ciftcioglu, S Wang and K S Chan, 2017, "Location Privacy in Mobile Edge Clouds: A Chaff-based Approach", IEEE JSAC Special Issue on Emerging Technologies in Software-driven Communication 2017, 35, (11), pp. 2625-2636 Ting He, 2017, "Distributed Link Anomaly Detection via Partial Network Tomography", ACM Performance Evaluation Review, PER, special issue for IFIP Performance 2017, pp. 14 Diman Tootaghaj, Ting He and Tom La Porta, 2017, "Parsimonious Tomography: Optimizing Cost-Identifiability Trade-off for Probing-based Network Monitoring", ACM Performance Evaluation Review, PER, special issue for IFIP Performance 2017, pp. 14 Ting He, Athanasios Gkelias, Liang Ma, Kin K Leung, Ananthram Swami and Don Towsley, 2017, "Robust and Efficient Monitor Placement for Network Tomography in Dynamic Networks", IEEE-ACM Transactions on Networking, 25, (3), pp. 1732-1745 Mostafa Dehghan, Bo Jiang, Anand Seetharam, Ting He, Theodoros Salonidis, Jim Kurose, Don Towsley and Ramesh Sitaraman, 2017, "On the Complexity of Optimal Request Routing and Content Caching in Heterogeneous Cache Networks", IEEE-ACM Transactions on Networking, 25, (3), pp. 1635-1648 Shiqiang Wang, Rahul Urgaonkar, Ting He, Kevin Chan, Murtaza Zafer and Kin K Leung, 2017, "Dynamic Service Placement for Mobile Micro-Clouds with Predicted Future Costs", IEEE Transactions on Parallel and Distributed Systems, 28, (4), pp. 1002-1016 Liang Ma, Ting He, Ananthram Swami, Don Towsley and Kin K Leung, 2017, "Network Capability in Localizing Node Failures via End-to-End Path Measurements", IEEE-ACM Transactions on Networking, 25, (1), pp. 434-450 Liang Ma, Ting He, Ananthram Swami, Don Towsley and Kin K Leung, 2015, "On Optimal Monitor Placement for Localizing Node Failures via Network Tomography", Elsevier Performance Evaluation, Special Issue: Performance 2015, 91, pp. 16-37 Rahul Urgaonkar, Shiqiang Wang, Ting He, Murtaza Zafer, Kevin Chan and Kin K Leung, 2015, "Dynamic Service Migration and Workload Scheduling in Edge-Clouds", Elsevier Performance Evaluation, Special Issue: Performance 2015, 91, pp. 205-228 Liang Ma, Ting He, Kin K Leung, Ananthram Swami and Don Towsley, 2014, "Inferring Link Metrics from End-to-End Path Measurements: Identifiability and Monitor Placement", IEEE-ACM Transactions on Networking, 22, (4), pp. 1351-1368 Animashree Anandkumar, Ting He, Chatschik Bisdikian and Dakshi Agrawal, 2013, "Seeing through Black Boxes: Tracking Transactions through Queues under Monitoring Resource Constraints", Elsevier Performance Evaluation, 70, (12), pp. 1090-1110 Wei Wei, Ting He, Chatschik Bisdikian, Dennis Goeckel, Bo Jiang, Lance Kaplan and Don Towsley, 2013, "Impact of In-network Aggregation on Target Tracking Quality under Network Delays", IEEE Journal On Selected Areas in Communications, Special Issue on In-Network Computation: Exploring the Fundamental Limits 2013, 31, (4), pp. 808-818 Stefano Marano, Vincenzo Matta, Ting He and Lang Tong, 2013, "The Embedding Capacity of Information Flows under Renewal Traffic", IEEE Transactions on Information Theory, 59, (3), pp. 1724-1739 Ameya Agaskar, Ting He and Lang Tong, 2010, "Distributed Detection of Multi-hop Information Flows with Fusion Capacity Constraints", IEEE Transactions on Signal Processing, 58, (6), pp. 3373-3383 Dinesh Verma, Bongjun Ko, Petros Zerfos, Kang-won Lee, Ting He, Matthew Duggan, Kristian Stewart, Ananthram Swami and Nikoletta Sofra, 2009, "Understanding the Quality of Monitoring for Network Management", The Computer Journal: Special Issue on ITA 2009, 53, (5), pp. 541-550 Ting He and Lang Tong, 2008, "Detection of Information Flows", IEEE Transactions on Information Theory, 54, (11), pp. 4925-4945 Ting He and Lang Tong, 2008, "Distributed Detection of Information Flows", IEEE Transactions on Information Forensics and Security, Special Issue on Statistical Methods for Network Security and Forensics 2008, 3, (3), pp. 390-403 Parvathinathan Venkitasubramaniam, Ting He and Lang Tong, 2008, "Anonymous Networking amidst Eavesdroppers", IEEE Transactions on Information Theory, Special Issue on Information-Theoretic Security 2008, 54, (6), pp. 2770-2784 Ting He and Lang Tong, 2007, "Detecting Encrypted Stepping-Stone Connections", IEEE Transactions on Signal Processing, 55, (5), pp. 1612-1623 Ting He, Shai Ben-David and Lang Tong, 2006, "Nonparametric Change Detection and Estimation in Large Scale Sensor Networks", IEEE Transactions on Signal Processing, 54, (4), pp. 1204-1217 Diman Tootaghaj, Novella Bartolini, Hana Khamfroush, Ting He, Nilanjan Ray Chaudhuri and Tom La Porta, , "Mitigation and Recovery from Cascading Failures in Interdependent Networks under Uncertainty", IEEE Transactions on Control of Network Systems S. Wang, T. Tuor, T. Salonidis, K. K. Leung, C. Makaya, Ting He and K. Chan, , "Adaptive Federated Learning in Resource Constrained Edge Computing Systems", IEEE Journal on Selected Areas in Communications Conference Proceedings D. Z. Tootaghaj, Thomas F Laporta and Ting He, 2019, "Modeling, Monitoring, and Scheduling Techniques for Network Recovery from Massive Failures" Y. Lin, Ting He, S. Wang, K. S. Chan and S. Pasteris, 2019, "Looking Glass of NFV: Inferring the Structure and State of NFV Network from External Observations" S. Pasteris, S. Wang, M. Herbster and Ting He, 2019, "Service Placement with Provable Guarantees in Heterogeneous Edge Computing Systems" V. Farhadi, F. Mehmeti, T. La Porta, Ting He, H. Khamfroush, S. Wang and K. S. Chan, 2019, "Service Placement and Request Scheduling for Data-intensive Applications in Edge Clouds" Ting He, H. Khamfroush, S. Wang, Thomas F Laporta and S. Stein, 2018, "It's Hard to Share: Joint Service Placement and Request Scheduling in Edge Clouds with Sharable and Non-sharable Resources" M. Ochal, S. Stein, F. Bi, M. Cook, E. Gerding, Ting He and T. La Porta, 2018, "Online Mechanism Design using Reinforcement Learning for Cloud Resource Allocation" L. Wang, L. Jiao, Ting He, J. Li and M. Muhlhauser, 2018, "Service Entity Placement for Social Virtual Reality Applications in Edge Computing" S. Wang, T. Tuor, T. Salonidis, K. K. Leung, Ting He and K. S. Chan, 2018, "When Edge Meets Learning: Adaptive Control for Resource-Constrained Distributed Machine Learning" Ting He, 2017, "Distributed Link Anomaly Detection via Partial Network Tomography" Diman Tootaghaj, Ting He and Tom La Porta, 2017, "Parsimonious Tomography: Optimizing Cost-Identifiability Trade-off for Probing-based Network Monitoring" Samta Shukla, Onkar Bhardwaj, Alhussein A. Abouzeid, Theodoros Salonidis and Ting He, 2017, "Holdem Caching: Proactive Retention-Aware Caching with Multi-path Routing for Wireless Edge Networks" Ting He, Ertugrul Ciftcioglu, Shiqiang Wang and Kevin S. Chan, 2017, "Location Privacy in Mobile Edge Clouds" N. Bartolini, Ting He and H. Khamfroush, 2017, "Fundamental Limits of Failure Identifiability by Boolean Network Tomography" Ali Munir, Ting He, Ramya Raghavendra, Franck Le and Alex Liu, 2016, "Network Scheduling Aware Task Placement in Datacenters" Ting He, Novella Bartolini, Hana Khamfroush, Injung Kim, Liang Ma and Tom La Porta, 2016, "Service Placement for Detecting and Localizing Failures Using End-to-End Observations" Ting He, Liang Ma, Athanasios Gkelias, Kin K Leung, Ananthram Swami and Don Towsley, 2016, "Robust Monitor Placement for Network Tomography in Dynamic Networks" A. Rocha, M. Dehghan, T. Salonidis, Ting He and D. Towsley, 2015, "SCA: A Data Stream Caching Algorithm" Rahul Urgaonkar, Shiqiang Wang, Ting He, Murtaza Zafer, Kevin Chan and Kin K Leung, 2015, "Dynamic Service Migration and Workload Scheduling in Edge-Clouds" Liang Ma, Ting He, Ananthram Swami, Don Towsley and Kin K Leung, 2015, "On Optimal Monitor Placement for Localizing Node Failures via Network Tomography" S. Wang, K. Chan, R. Urgaonkar, Ting He and K. K. Leung, 2015, "Emulation-based Study of Dynamic Service Placement in Mobile Micro-Clouds" C. Liu, Ting He, A. Swami, D. Towsley, T. Salonidis, A. I. Bejan and P. Yu, 2015, "Multicast vs. Unicast for Loss Tomography on Tree Topologies" E. N. Ciftcioglu, K. Chan, R. Urgaonkar, S. Wang and Ting He, 2015, "Security-aware Service Migration for Tactical Mobile Micro-Clouds" Ting He, C. Liu, A. Swami, D. Towsley, T. Salonidis, A. I. Bejan and P. Yu, 2015, "Fisher Information-based Experiment Design for Network Tomography" S. Wang, R. Urgaonkar, K. Chan, Ting He, M. Zafer and K. K. Leung, 2015, "Dynamic Service Placement for Mobile Micro-Clouds with Predicted Future Costs" S. Wang, R. Urgaonkar, M. Zafer, K. Chan, Ting He and K. K. Leung, 2015, "Dynamic Service Migration in Mobile Edge-Clouds" M. Dehghan, A. Seetharam, B. Jiang, Ting He, T. Salonidis, J. Kurose, D. Towsley and R. K. Sitaraman, 2015, "On the Complexity of Optimal Joint Caching and Routing in Hybrid Networks" L. Ma, Ting He, A. Swami, D. Towsley, K. K. Leung and J. Lowe, 2014, "Node Failure Localization via Network Tomography" S. Wang, R. Urgaonkar, Ting He, M. Zafer, K. Chan and K. K. Leung, 2014, "Mobility-induced Service Migration in Mobile Micro-Clouds" M. Dehghan, A. Seetharam, Ting He, T. Salonidis, J. Kurose and D. Towsley, 2014, "Optimal Caching and Routing in Hybrid Networks" S. Tati, S. Silvestri, Ting He and Thomas F Laporta, 2014, "Robust Network Tomography in the Presence of Failures" L. Ma, Ting He, K. K. Leung, A. Swami and D. Towsley, 2014, "Monitor Placement for Maximal Identifiability in Network Tomography" L. Ma, Ting He, K. K. Leung, A. Swami and D. Towsley, 2013, "Link Identifiability in Communication Networks with Two Monitors" M. Dehghan, D. Towsley, D. Goeckel and Ting He, 2013, "Inferring Military Activity in Hybrid Networks through Cache Behavior" L. Ma, Ting He, K. K. Leung, A. Swami and D. Towsley, 2013, "Identifiability of Link Metrics based on End-to-End Path Measurements" L. Ma, Ting He, K. K. Leung, D. Towsley and A. Swami, 2013, "Efficient Identification of Additive Link Metrics via Network Tomography" Y. Ji, Ting He, J. Tan, L.-w Lee, L. Zhang and L. Tong, 2013, "Improving Multi-Job MapReduce Scheduling in an Opportunistic Environment" Ting He, D. Goeckel, R. Raghavengra and D. Towsley, 2013, "Endhost-based Shortest Path Routing in Dynamic Networks: An Online Learning Approach" Q. Wang, Ting He, Chen K.-C., J. Wang, B. Ko, Y. Lin and K.-w Lee, 2012, "Dynamic Spectrum Allocation under Cognitive Cell Network for M2M Applications" Ting He, S. Chen, H. Kim, L. Tong and K.-w. Lee, 2012, "Scheduling Parallel Tasks onto Opportunistically Available Cloud Resources" Y. Zhao, Z. Zhang, Ting He, A. Liu, L. Guo and B. Fang, 2012, "A Task-based Model for the Lifespan of Peer-to-Peer Swarms" Ting He, S. Chen, H. Kim, L. Tong and K.-w. Lee, 2012, "To Migrate or to Wait: Bandwidth-Latency Tradeoff in Opportunistic Scheduling of Parallel Tasks" L. Ma, Ting He, A. Swami, K.-w. Lee and K. K. Leung, 2011, "Switch-and-Navigate: Controlling Data Ferry Mobility for Delay-Bounded Messages" S. Marano, V. Matta, Ting He and L. Tong, 2011, "Embedding Information Flows into Renewal Traffic" S. Chen, L. Tong and Ting He, 2011, "Optimal Deadline Scheduling with Commitment" Ting He, A. Swami and K.-w. Lee, 2011, "Dispatch-and-Search: Dynamic Multi-Ferry Control in Partitioned Mobile Network" S. Chen, Ting He, H.-Y. Wong, K.-w. Lee and L. Tong, 2011, "Secondary Job Scheduling in the Cloud with Deadlines" Ting He, A. Anandkumar and D. Agrawal, 2011, "Index-Based Sampling Policies for Tracking Dynamic Networks under Sampling Constraints" Ting He, L. Kaplan, C. Bisdikian, W. Wei and D. Towsley, 2010, "Multi-Target Tracking Using Proximity Sensors" Ting He, K.-w. Lee and A. Swami, 2010, "Flying in the Dark: Controlling Autonomous Data Ferries with Partial Observations" Ting He, N. Sofra, K.-w. Lee and K. K. Leung, 2010, "Utility-Based Gateway Deployment for Supporting Multi-Domain DTNs" W. Wei, Ting He, C. Bisdikian, D. Goeckel and D. Towsley, 2010, "Target Tracking with Packet Delays and Losses QoI amid Latencies and Missing Data" C. Liu, Ting He, K.-w. Lee, K. K. Leung and A. Swami, 2010, "Dynamic Control of Data Ferries under Partial Observations" Z. Charbiwala, S. Chakraborty, S. Zahedi, Y. Kim, M. Srivastava, Ting He and C. Bisdikian, 2010, "Compressive Oversampling for Robust Data Transmission in Sensor Networks" Ting He, L. Tong and A. Swami, 2009, "On the Maximum Throughput of Clandestine Sensor Networking" Ting He, L. Tong and A. Swami, 2009, "Maximum Throughput of Clandestine Relay" A. Anandkumar, C. Bisdikian, Ting He and D. Agrawal, 2009, "Selectively Retrofitting Monitoring in Distributed Systems" N. Sofra, Ting He, P. Zerfos, B. Ko, K.-w. Lee and K. K. Leung, 2008, "Accuracy Analysis of Data Aggregation for Network Monitoring" Ting He, M. Zafer and C. Bisdikian, 2008, "Detecting Transient Signals with Incomplete Observations" Ting He, H.-Y. Wong and K.-w. Lee, 2008, "Traffic Analysis in Anonymous MANETs" Ting He and M. Zafer, 2008, "Adaptive Sampling for Transient Signal Detection in the Presence of Missing Samples" Ting He, A. Agaskar and L. Tong, 2008, "On Security-Aware Transmission Scheduling" A. Agaskar, Ting He and L. Tong, 2008, "A Distributed Scheme for Detection of Information Flows in Chaff" Ting He and L. Tong, 2007, "Distributed Detection of Information Flows with Side-Information" Ting He and L. Tong, 2007, "Distributed Detection of Information Flows in Chaff" Ting He and L. Tong, 2007, "Detecting Information Flows: Improving Chaff Tolerance by Joint Detection" Ting He and L. Tong, 2006, "Robust Detection of Stepping-Stone Attacks" P. Venkitasubramaniam, Ting He and L. Tong, 2006, "Networking with Secrecy Constraints" Ting He, P. Venkitasubramaniam and L. Tong, 2006, "Packet Scheduling Against Stepping-Stone Attacks with Chaff" P. Venkitasubramaniam, Ting He and L. Tong, 2006, "Relay Secrecy in Networks with Eavesdroppers" Ting He and L. Tong, 2006, "Detecting Encrypted Interactive Stepping-Stone Connections" Ting He and L. Tong, 2006, "A Signal Processing Perspective to Stepping-Stone Detection" Ting He, L. Tong and A. Swami, 2005, "Nonparametric Change Estimation in 2D Random Fields" Ting He, S. Ben-David and L. Tong, 2005, "Nonparametric Change Detection in 2D Random Sensor Field" Ting He, S. Ben-David and L. Tong, 2004, "Change Detection and Estimation in Large Scale Sensor Networks: Linear Complexity Algorithms" S. Ben-David, Ting He and L. Tong, 2004, "Nonparametric Approach to Change Detection and Estimation in Large Scale Sensor Networks" Magazines/Trade Publications Parvathinathan Venkitasubramaniam, Ting He, Lang Tong and Stephen Wicker, 2008, "Towards an Analytical Approach to Anonymous Wireless Networking", IEEE Communications Magazine: Special Issue on Security in Ad Hoc Wireless Networks 2008, 46, (2), pp. 140-146 Research Projects Honors and Awards Service Service to Penn State: Service to External Organizations: diff --git a/src/data/compiled_bios/1503.txt b/src/data/compiled_bios/1503.txt new file mode 100644 index 0000000000..bcd4600a53 --- /dev/null +++ b/src/data/compiled_bios/1503.txt @@ -0,0 +1 @@ + Don Heller Emeritus Professor of Computer Science and Engineering Affiliation(s): School of Electrical Engineering and Computer Science Computer Science and Engineering 346C Westgate Building deh25@psu.edu 814-863-6740 Personal or Departmental Website Research Areas: Interest Areas: Numerical Analysis, Parallel Computation, Computer Architecture, Operating Systems (technology-oriented algorithm design and analysis) Education Publications Book Reviews Don E Heller, 2004, "Operating Systems Concepts, Seventh Edition" by Silberschatz, A., P. B. Galvin, G. Gagne, John Wiley & Sons, Inc. Don E Heller, 2001, Computer Systems: A Programmer's Perspective (CS:APP) by Bryant, R. E., R. O'Hallaron, Prentice Hall Other Don E Heller, 2005, "Operating System Concepts" Research Projects Honors and Awards Service Service to Penn State: Service to External Organizations: diff --git a/src/data/compiled_bios/1504.txt b/src/data/compiled_bios/1504.txt new file mode 100644 index 0000000000..a96f9cb51b --- /dev/null +++ b/src/data/compiled_bios/1504.txt @@ -0,0 +1 @@ + Vasant Honavar Professor and Edward Frymoyer Chair of Information Sciences and Technology Affiliation(s): School of Electrical Engineering and Computer Science Computer Science and Engineering 301A Westgate Building vuh14@psu.edu 814-865-3141 Personal or Departmental Website Research Areas: Interest Areas: Current research and teaching interests include Artificial Intelligence, Machine Learning, Bioinformatics, Big Data Analytics, Computational Molecular Biology, Data Mining, Discovery Informatics, Information Integration, Computational Neuroscience, Neuroinformatics, Knowledge Representation and Inference, Semantic Technologies, Social Informatics, Security Informatics, and Health Informatics. diff --git a/src/data/compiled_bios/1505.txt b/src/data/compiled_bios/1505.txt new file mode 100644 index 0000000000..efab5ba21f --- /dev/null +++ b/src/data/compiled_bios/1505.txt @@ -0,0 +1 @@ + Trent Jaeger Professor Affiliation(s): School of Electrical Engineering and Computer Science Computer Science and Engineering W359 Westgate Building trj1@psu.edu 814-865-1042 Personal or Departmental Website Research Areas: Education Publications Books , 2011, Encyclopedia of Cryptography and Security, 2nd Ed, Springer Trent R Jaeger, 2008, Operating System Security, Morgan & Claypool Publishers Trent R Jaeger, 2008, Operating Systems Security, Morgan & Claypool Publishers Book, Chapters Trent R Jaeger, 2011, Reference Monitor, pp. 10381040 Journal Articles Xiaokui Shu, Naren Ramakrishnan, Danfeng, Daphne Yao and Trent R Jaeger, 2017, "Long-Span Program Behavior Modeling and Attack Detection", ACM Transactions on Privacy and Security Adam Bates, Dave, Jing Tian, Grant Hernandez, Kevin Butler, Trent R Jaeger and Thomas Moyer, 2017, "Taming the Costs of Trustworthy Provenance through Policy Reduction", ACM Transactions on Internet Technology Robert F. Erbacher, Trent R Jaeger, Nirupama Talele and Jason Teutsch, 2014, "Directed Multicut with linearly ordered terminals", CoRR, abs/1407.7498 Xinyang Ge, Hayawardh Vijayakumar and Trent R Jaeger, 2014, "Sprobes: Enforcing Kernel Code Integrity on the TrustZone Architecture", CoRR, abs/1410.7747 Steve Lipner, Trent R Jaeger and Mary Ellen Zurko, 2012, "Lessons from VAX/SVS for High-Assurance VM Systems", IEEE Security & Privacy, 10, (6), pp. 2635 Thomas Moyer, Kevin R. B. Butler, Joshua Schiffman, Patrick D McDaniel and Trent R Jaeger, 2012, "Scalable Web Content Attestation", IEEE Transactions on Computers, 61, (5), pp. 686699 Trent R Jaeger, Paul C. van Oorschot and Glenn Wurster, 2011, "Countering unauthorized code execution on commodity kernels: A surveyof common interfaces allowing kernel code modification", Computers & Security, 30, (8), pp. 571579 Patrick Traynor, Chaitrali Amrutkar, Vikhyath Rao, Trent R Jaeger, Patrick D McDaniel and Thomas F Laporta, 2011, "From mobile phones to responsible devices", Security and Communication Networks, 4, (6), pp. 719726 Divya Muthukumaran, Joshua Schiffman, Mohamed Hassan, Anuj Sawani, Vikhyath Rao and Trent R Jaeger, 2011, "Protecting the integrity of trusted applications in mobile phone systems", Security and Communication Networks, 4, (6), pp. 633650 Trent R Jaeger, Paul C. van Oorschot and Glenn Wurster, 2011, "Countering unauthorized code execution on commodity kernels: A survey of common interfaces allowing kernel code modification", Computers & Security, 30, (8), pp. 571579 Joshua Schiffman, Thomas Moyer, Trent R Jaeger and Patrick D McDaniel, 2011, "Network-Based Root of Trust for Installation", IEEE Security & Privacy, 9, (1), pp. 4048 Boniface Hicks, Sandra Rueda, Luke St. Clair, Trent R Jaeger and Patrick D McDaniel, 2010, "A logical specification and analysis for SELinux MLS policy", ACM Transactions on Information Systems Security, 13, (3) Trent R Jaeger and Joshua Schiffman, 2010, "Outlook: Cloudy with a Chance of Security Challenges and Improvements", IEEE Security & Privacy, 8, (1), pp. 7780 Trent R Jaeger, Antony Edwards and Xiaolan Zhang, 2004, "Consistency analysis of authorization hook placement in the Linuxsecurity modules framework", ACM Transactions on Information Systems Security, 7, (2), pp. 175205 Trent R Jaeger, Antony Edwards and Xiaolan Zhang, 2004, "Consistency analysis of authorization hook placement in the Linux security modules framework", ACM Trans. Inf. Syst. Secur., 7, (2), pp. 175205 Trent R Jaeger, Xiaolan Zhang and Antony Edwards, 2003, "Policy management using access control spaces", ACM Transactions on Information Systems Security, 6, (3), pp. 327364 Trent R Jaeger and Jonathon Tidswell, 2001, "Practical safety in flexible access control models", ACM Transactions on Information Systems Security, 4, (2), pp. 158190 Trent R Jaeger, Atul Prakash, Jochen Liedtke and Nayeem Islam, 1999, "Flexible Control of Downloaded Executable Content", ACM Transactions on Information System Security, 2, (2), pp. 177228 Nayeem Islam, Rangachari Anand, Trent R Jaeger and Josyula R. Rao, 1997, "A Flexible Security System for Using Internet Content", IEEE Software, 14, (5), pp. 5259 Conference Proceedings Azeem Aqil, Karim Khalil, Ahmed O.F. Atya, Evangelos E. Papalexakis, Srikanth V. Krishnamurthy, K. K. Ramakrishnan, Trent R Jaeger, Paul Yu and Ananthram Swami, 2017, "Towards Network Intrusion Detection at ISP Scale" Shen Liu, Gang Tan and Trent R Jaeger, 2017, "PtrSplit: Supporting General Pointers in Automatic Program Partitioning" Gang Tan and Trent R Jaeger, 2017, "CFG Construction Soundness in Control-Flow Integrity" Giuseppe Petracca, Ahmad-Atamli Reineh, Yuqiong Sun, Jens Grossklags and Trent R Jaeger, 2017, "Aware: Preventing Abuse of Privacy-Sensitive Sensors via Operation Bindings" Giuseppe Petracca, Frank Capobianco, Christian Skalka and Trent R Jaeger, 2017, "On Risk in Access Control Enforcement" Frank Capobianco, Christian Skalka and Trent R Jaeger, 2017, "AccessProv: Tracking the Provenance of Access Control Decisions" Le Guan, Peng Liu, Xinyu Xing, Xinyang Ge, Shengzhi Zhang, Meng Yu and Trent R Jaeger, 2017, "TrustShadow: Secure Execution of Unmodified Applications with ARM TrustZone" Anirudh Iyengar, Swaroop Ghosh and Trent R Jaeger, 2017, "A Processor + FPGA based Platform for Control Flow Integrity Enforcement" Stefan Achleitner, Thomas La Porta, Trent R Jaeger and Patrick McDaniel, 2017, "Adversarial Network Forensics in Software Defined Networking" Xinyang Ge, Weidong Cui and Trent R Jaeger, 2017, "GRIFFIN: Guarding Control Flows Using Intel Processor Trace" Xinyang Ge, Mathias Payer and Trent R Jaeger, 2017, "An Evil Copy: How the Loader Betrays You" Yuqiong Sun, Giuseppe Petracca, Xinyang Ge and Trent R Jaeger, 2016, "Pileus: Protecting User Resources from Vulnerable Cloud Services" Xinyang Ge, Mathias Payer, Trent Jae ander, , 2016, "Fine-Grained Control-Flow Integrity for Kernel Software" Giuseppe Petracca, Trent Jaeger, Lisa Marvel and Ananthram Swami, 2016, "Agility Maneuvers to Mitigate Inference Attacks on Sensed Location Data" Thomas Moyer, Patrick Cable, Karishma Chadha, Robert Cunningham, Nabil Schear, Warren Smith, Adam Bates, Kevin Butler, Frank Capobianco and Trent Jaeger, 2016, "Leveraging Data Provenance to Enhance Cyber Resilience" Yuqiong Sun, Giuseppe Petracca, Xinyang Ge and Trent Jaeger, 2016, "Pileus: Protecting User Resources from Vulnerable Cloud Services" Giuseppe Petracca, Yuqiong Sun, Trent R Jaeger and Ahmad Atamli, 2015, "AuDroid: Preventing Attacks on Audio Channels in Mobile Devices", pp. 181190 Trent R Jaeger, Xinyang Ge, Divya Muthukumaran, Sandra Rueda, Joshua Schiffman and Hayawardh Vijayakumar, 2015, "Designing for Attack Surfaces: Keep Your Friends Close, but Your Enemies Closer", pp. 5574 C. Jackson, K. Levitt, J. Rowe, S. Krishnamurthy, Trent R Jaeger and A. Swami, 2015, "A diagnosis based intrusion detection approach", pp. 929-934 A. Aqil, A. O. F. Atya, Trent R Jaeger, S. V. Krishnamurthy, K. Levitt, Patrick D McDaniel, J. Rowe and A. Swami, 2015, "Detection of stealthy TCP-based DoS attacks", pp. 348-353 Trent R Jaeger, 2015, "Challenges in Making Access Control Sensitive to the "Right" Contexts", pp. 111 Yuqiong Sun, Giuseppe Petracca, Trent R Jaeger, Hayawardh Vijayakumar and Joshua Schiffman, 2015, "Cloud Armor: Protecting Cloud Commands from Compromised Cloud Services", pp. 253260 D. Muthukumaran, N. Talele, Trent R Jaeger and G. Tan, 2015, "Producing hook placements to enforce expected access control policies", pp. 178-195 Vinod Ganapathy, Trent R Jaeger, Christian Skalka and Gang Tan, 2014, "Assurance for defense in depth via retrofitting" Yuqiong Sun, Giuseppe Petracca and Trent R Jaeger, 2014, "Inevitable Failure: The Flawed Trust Assumption in the Cloud", ACM, New York, NY, USA, pp. 141150 Xinyang Ge, Hayawardh Vijayakumar and Trent R Jaeger, 2014, "Sprobes: Enforcing Kernel Code Integrity on the Trust Zone Architecture" , 2014, "19th ACM Symposium on Access Control Models and Technologies, SACMAT 14, London, ON, Canada - June 25 - 27, 2014", ACM , 2014, "9th ACM Symposium on Information, Computer and Communications Security, ASIA CCS 14, Kyoto, Japan - June 03 - 06, 2014", ACM Patrick D McDaniel, Trent R Jaeger, Thomas F Laporta, Nicolas Papernot, Robert J. Walls, Alexander Kott, Lisa M. Marvel, Ananthram Swami, Prasant Mohapatra, Srikanth V. Krishnamurthy and Iulian Neamtiu, 2014, "Security and Science of Agility", pp. 1319 Hayawardh Vijayakumar, Xinyang Ge, Mathias Payer and Trent R Jaeger, 2014, "JIGSAW: Protecting Resource Access by Inferring Programmer Expectations", pp. 973988 Nirupama Talele, Jason Teutsch, Robert F. Erbacher and Trent R Jaeger, 2014, "Monitor placement for large-scale systems", pp. 2940 Hayawardh Vijayakumar, Xinyang Ge and Trent R Jaeger, 2014, "Policy models to protect resource retrieval", pp. 211222 , 2014, "Proceedings of the 23rd USENIX Security Symposium, San Diego, CA, USA, August 20-22, 2014", USENIX Association , 2014, "Proceedings of the 6th edition of the ACM Workshop on Cloud Computing Security, CCSW 14, Scottsdale, Arizona, USA, November 7, 2014", ACM , 2014, "Proceedings of the First ACM Workshop on Moving Target Defense, MTD 14, Scottsdale, Arizona, USA, November 7, 2014", ACM David Schmidt and Trent R Jaeger, 2013, "Pitfalls in the automated strengthening of passwords", pp. 129138 Joshua Schiffman, Yuqiong Sun, Hayawardh Vijayakumar and Trent R Jaeger, 2013, "Cloud Verifier: Verifiable Auditing Service for IaaS Clouds", pp. 239246 Hayawardh Vijayakumar, Joshua Schiffman and Trent R Jaeger, 2013, "Process firewalls: protecting processes during resource access", pp. 5770 Nirupama Talele, Jason Teutsch, Trent R Jaeger and Robert F. Erbacher, 2013, "Using Security Policies to Automate Placement of Network Intrusion Prevention", pp. 1732 , 2013, "Annual Computer Security Applications Conference, ACSAC 13, New Orleans, LA, USA, December 9-13, 2013", ACM , 2013, "Automated Security Management [papers from SafeConfig 2012, Baltimore Inner Harbor, MD, USA]", Springer , 2013, "Eighth Eurosys Conference 2013, EuroSys 13, Prague, Czech Republic, April 14-17, 2013", ACM , 2013, "Engineering Secure Software and Systems - 5th International Symposium, ESSoS 2013, Paris, France, February 27 - March 1, 2013. Proceedings", Springer, 7781 , 2013, "IEEE Ninth World Congress on Services, SERVICES 2013, Santa Clara, CA, USA, June 28 - July 3, 2013", IEEE Computer Society Trent R Jaeger, D. Muthukumaran*, J. Schiffman*, Y. Sun*, N. Talele* and H. Vijayakumar*, 2012, "Configuring Cloud Deployments for Integrity", Proceedings of the Computer & Electronics Security Applications Rendez-vous (C&ESAR; 2012), pp. 15 Divya Muthukumaran, Trent R Jaeger and Vinod Ganapathy, 2012, "Leveraging "choice" to automate authorization hook placement", pp. 145156 Hayawardh Vijayakumar, Guruprasad Jakka, Sandra Rueda, Joshua Schiffman and Trent R Jaeger, 2012, "Integrity walls: finding attack surfaces from mandatory access control policies", pp. 7576 , 2012, "28th Annual Computer Security Applications Conference, ACSAC 2012, Orlando, FL, USA, 3-7 December 2012", ACM , 2012, "7th ACM Symposium on Information, Compuer and Communications Security, ASIACCS 12, Seoul, Korea, May 2-4, 2012", ACM , 2012, "Proceedings of the 21th USENIX Security Symposium, Bellevue, WA, USA, August 8-10, 2012", USENIX Association , 2012, "the ACM Conference on Computer and Communications Security, CCS12, Raleigh, NC, USA, October 16-18, 2012", ACM Thomas Moyer, Trent R Jaeger and Patrick D McDaniel, 2012, "Scalable Integrity-Guaranteed AJAX", pp. 119 Hayawardh Vijayakumar, Joshua Schiffman and Trent R Jaeger, 2012, "STING: Finding Name Resolution Vulnerabilities in Programs", pp. 585599 Hayawardh Vijayakumar and Trent R Jaeger, 2012, "The Right Files at the Right Time", pp. 119133 Divya Muthukumaran, Sandra Rueda, Nirupama Talele, Hayawardh Vijayakumar, Jason Teutsch and Trent R Jaeger, 2012, "Transforming commodity security policies to enforce Clark-Wilson integrity", pp. 269278 , 2012, "Trust and Trustworthy Computing - 5th International Conference, TRUST 2012, Vienna, Austria, June 13-15, 2012. Proceedings", Springer, 7344 Joshua Schiffman, Hayawardh Vijayakumar and Trent R Jaeger, 2012, "Verifying System Integrity by Proxy", pp. 179200 , 2012, "Web Technologies and Applications - 14th Asia-Pacific Web Conference, APWeb 2012, Kunming, China, April 11-13, 2012. Proceedings", Springer, 7235 H. Vijayakumar, J. Schiffman and Trent R Jaeger, 2011, "A Rose by Any Other Name or an Insane Root? Adventures in Name Resolution", Proceedings of the Seventh European Conference on Computer Network Defense (EC2ND 2011) , 2010, "Proceedings of the 2nd ACM Cloud Computing Security Workshop, CCSW 2010, Chicago, IL, USA, October 8, 2010", ACM , 2010, "SACMAT 2010, 15th ACM Symposium on Access Control Models and Technologies, Pittsburgh, Pennsylvania, USA, June 9-11, 2010, Proceedings", ACM , 2010, "3rd ACM Workshop on Assurable and Usable Security Configuration, SafeConfig 2010, Chicago, IL, USA, October 4, 2010", ACM Boniface Hicks, Sandra Rueda, Dave King, Thomas Moyer, Joshua Schiffman, Yogesh Sreenivasan, Patrick D McDaniel and Trent R Jaeger, 2010, "An architecture for enforcing end-to-end access control over web applications", pp. 163172 Dave King, Susmit Jha, Divya Muthukumaran, Trent R Jaeger, Somesh Jha and Sanjit A. Seshia, 2010, "Automating Security Mediation Placement", pp. 327344 Divya Muthukumaran, Sandra Rueda, Hayawardh Vijayakumar and Trent R Jaeger, 2010, "Cut me some security", pp. 7578 , 2010, "Programming Languages and Systems, 19th European Symposium on Programming, ESOP 2010, Held as Part of the Joint European Conferences on Theory and Practice of Software, ETAPS 2010, Paphos, Cyprus, March 20-28, 2010. Proceedings", Springer, 6012 Joshua Schiffman, Thomas Moyer, Hayawardh Vijayakumar, Trent R Jaeger and Patrick D McDaniel, 2010, "Seeding clouds with trust anchors", pp. 4346 , 2009, "28th IEEE Symposium on Reliable Distributed Systems (SRDS 2009), Niagara Falls, New York, USA, September 27-30, 2009", IEEE Computer Society Sandra Rueda, Hayawardh Vijayakumar and Trent R Jaeger, 2009, "Analysis of virtual machine system policies", pp. 227236 Liang Xie, Xinwen Zhang, Ashwin Chaugule, Trent R Jaeger and Sencun Zhu, 2009, "Designing System-Level Defenses against Cellphone Malware", pp. 8390 Vikhyath Rao and Trent R Jaeger, 2009, "Dynamic mandatory access control for multiple stakeholders", pp. 5362 Joshua Schiffman, Thomas Moyer, Christopher Shal, Trent R Jaeger and Patrick D McDaniel, 2009, "Justifying Integrity Using a Virtual Machine Verifier", pp. 8392 Patrick Traynor, Michael Lin, Machigar Ongtang, Vikhyath Rao, Trent R Jaeger, Patrick D McDaniel and Thomas F Laporta, 2009, "On cellular botnets: measuring the impact of malicious devices on a cellular network core", pp. 223234 , 2009, "Proceedings of the 2009 ACM Conference on Computer and Communications Security, CCS 2009, Chicago, Illinois, USA, November 9-13, 2009", ACM , 2009, "SACMAT 2009, 14th ACM Symposium on Access Control Models and Technologies, Stresa, Italy, June 3-5, 2009, Proceedings", ACM Thomas Moyer, Kevin R. B. Butler, Joshua Schiffman, Patrick D McDaniel and Trent R Jaeger, 2009, "Scalable Web Content Attestation", pp. 95104 , 2009, "Twenty-Fifth Annual Computer Security Applications Conference, ACSAC 2009, Honolulu, Hawaii, 7-11 December 2009", IEEE Computer Society A. Tannous, J. Trostle, M. Hassan, S. E. McLaughlin and Trent R Jaeger, 2008, "New Side Channel Attacks Targeting Passwords", Proceedings of the Twenty-Fourth Annual Computer Security Applications Conference (ACSAC 2008), pp. 45-54 , 2008, "Information Systems Security, 4th International Conference, ICISS 2008, Hyderabad, India, December 16-20, 2008. Proceedings", Springer, 5352 , 2008, "Proceedings of the 17th International Conference on World Wide Web, WWW 2008, Beijing, China, April 21-25, 2008", ACM , 2008, "Proceedings of the 17th USENIX Security Symposium, July 28-August 1, 2008, San Jose, CA, USA", USENIX Association , 2008, "Proceedings of the 2nd ACM Workshop on Computer Security Architecture, CSAW 2008, Alexandria, VA, USA, October 31, 2008", ACM , 2008, "SACMAT 2008, 13th ACM Symposium on Access Control Models and Technologies, Estes Park, CO, USA, June 11-13, 2008, Proceedings", ACM , 2008, "Twenty-Fourth Annual Computer Security Applications Conference, ACSAC 2008, Anaheim, California, USA, 8-12 December 2008", IEEE Computer Society Liang Xie, Hui Song, Trent R Jaeger and Sencun Zhu, 2008, "A systematic approach for cell-phone worm containment", pp. 10831084 Dave King, Trent R Jaeger, Somesh Jha and Sanjit A. Seshia, 2008, "Effective blame for information-flow violations", pp. 250260 Sandra Rueda, Yogesh Sreenivasan and Trent R Jaeger, 2008, "Flexible security configuration for virtual machines", pp. 3544 Dave King, Boniface Hicks, Michael Hicks and Trent R Jaeger, 2008, "Implicit Flows: Cant Live with Em, Cant Live without Em", pp. 5670 Divya Muthukumaran, Anuj Sawani, Joshua Schiffman, Brian M. Jung and Trent R Jaeger, 2008, "Measuring integrity on mobile phone systems", pp. 155164 Albert Tannous, Jonathan T. Trostle, Mohamed Hassan, Stephen E. McLaughlin and Trent R Jaeger, 2008, "New Side Channels Targeted at Passwords", pp. 4554 William Enck, Patrick D McDaniel and Trent R Jaeger, 2008, "PinUP: Pinning User Files to Known Applications", pp. 5564 , 2008, "Proceedings of the 16th ACM SIGSOFT International Symposium on Foundations of Software Engineering, 2008, Atlanta, Georgia, USA, November 9-14, 2008", ACM Sandra Rueda, Dave King and Trent R Jaeger, 2008, "Verifying Compliance of Trusted Programs", pp. 321334 B. Hicks, S. Rueda, Trent R Jaeger and P. McDaniel, 2007, "Integration of SELinux and Security-typed Languages", Proceedings of the 2007 Security-Enhanced Linux Symposium, pp. 85-92 , 2007, "23rd Annual Computer Security Applications Conference (ACSAC 2007), December 10-14, 2007, Miami Beach, Florida, USA", IEEE Computer Society , 2007, "29th International Conference on Software Engineering (ICSE 2007), Minneapolis, MN, USA, May 20-26, 2007", IEEE Computer Society , 2007, "Proceedings of the 2007 ACM workshop on Computer Security Architecture, CSAW 2007, Fairfax, VA, USA, November 2, 2007", ACM , 2007, "Proceedings of the 2007 USENIX Annual Technical Conference, Santa Clara, CA, USA, June 17-22, 2007", USENIX , 2007, "SACMAT 2007, 12th ACM Symposium on Access Control Models and Technologies, Sophia Antipolis, France, June 20-22, 2007, Proceedings", ACM Boniface Hicks, Sandra Rueda, Luke St. Clair, Trent R Jaeger and Patrick D McDaniel, 2007, "A logical specification and analysis for SELinux MLS policy", pp. 91100 Luke St. Clair, Joshua Schiffman, Trent R Jaeger and Patrick D McDaniel, 2007, "Establishing and Sustaining System Integrity via Root of Trust Installation", pp. 1929 Boniface Hicks, Sandra Rueda, Trent R Jaeger and Patrick D McDaniel, 2007, "From Trusted to Secure: Building and Executing Applications That Enforce System Security", pp. 205218 Trent R Jaeger, Reiner Sailer and Yogesh Sreenivasan, 2007, "Managing the risk of covert information flows in virtual machine systems", pp. 8190 Vinod Ganapathy, Dave King, Trent R Jaeger and Somesh Jha, 2007, "Mining Security-Sensitive Operations in Legacy Code Using Concept Analysis", pp. 458467 William Enck, Sandra Rueda, Joshua Schiffman, Yogesh Sreenivasan, Luke St. Clair, Trent R Jaeger and Patrick D McDaniel, 2007, "Protecting users from "themselves"", pp. 2936 Jonathan M. McCune, Trent R Jaeger, Stefan Berger, Ramn Cceres and Reiner Sailer, 2006, "Shamon: A System for Distributed Mandato ry Access Control", pp. 2332 Trent R Jaeger, David H. King, Kevin R. B. Butler, Serge Hallyn, Joy Latten and Xiaolan Zhang, 2006, "Leveraging IPsec for Mandatory Per-Packet Access Control", pp. 19 Xiaolan Zhang, Larry Koved, Marco Pistoia, Sam Weber, Trent R Jaeger, Guillaume Marceau and Liangzhao Zeng, 2006, "The case for analysis preserving language transformation", pp. 191202 Umesh Shankar, Trent R Jaeger and Reiner Sailer, 2006, "Toward Automated Information-Flow Integrity Verification for Security-Critical Applications" Luke St. Clair, Lisa Johansen, William Enck, Matthew Pirretti, Patrick Traynor, Patrick D McDaniel and Trent R Jaeger, 2006, "Password Exhaustion: Predicting the End of Password Usefulness", pp. 3755 Trent R Jaeger, Reiner Sailer and Umesh Shankar, 2006, "PRIMA: policy-reduced integrity measurement architecture", pp. 1928 Vinod Ganapathy, Trent R Jaeger and Somesh Jha, 2006, "Retrofitting Legacy Code for Authorization Policy Enforcement", pp. 214229 Trent R Jaeger, Patrick D McDaniel, Luke St. Clair, Ramn Cceres and Reiner Sailer, 2006, "Shame on Trust in Distributed Systems" , 2006, "1st USENIX Workshop on Hot Topics in Security, HotSec06, Vancouver, BC, Canada, July 31, 2006", USENIX Association , 2006, "2006 IEEE Symposium on Security and Privacy (S&P; 2006), 21-24 May 2006, Berkeley, California, USA", IEEE Computer Society , 2006, "22nd Annual Computer Security Applications Conference (ACSAC 2006), 11-15 December 2006, Miami Beach, Florida, USA", IEEE Computer Society , 2006, "Information Systems Security, Second International Conference, ICISS 2006, Kolkata, India, December 19-21, 2006, Proceedings", Springer, 4332 , 2006, "Proceedings of the ACM/SIGSOFT International Symposium on Software Testing and Analysis, ISSTA 2006, Portland, Maine, USA, July 17-20, 2006", ACM , 2006, "Proceedings of the Network and Distributed System Security Symposium, NDSS 2006, San Diego, California, USA", The Internet Society , 2006, "SACMAT 2006,11th ACM Symposium on Access Control Models and Technologies, Lake Tahoe, California, USA, June 7-9, 2006, Proceedings", ACM , 2006, "Second International Conference on Security and Privacy in Communication Networks and the Workshops, SecureComm 2006, Baltimore, MD, Aug. 28 2006 - September 1, 2006", IEEE Jonathan M. McCune, Trent R Jaeger, Stefan Berger, Ramn Cceres and Reiner Sailer, 2006, "Shamon: A System for Distributed Mandatory Access Control", pp. 2332 Trent R Jaeger, D. King, K. Butler, J. McCune, R. Caceres, S. Hallyn, J. Latten, R. Sailer and X. Zhang, 2006, "Leveraging IPsec for Distributed Authorization", Proceedings of the Second International Conference on Security and Privacy in Communication Networks (SecureComm'06), pp. 11 X. Zhang, L. Koved, M. Pistoia, S. Weber, Trent R Jaeger and G. Marceau, 2006, "The Case for Analysis Preserving Language Transformation", Proceedings of the 2006 International Symposium on Software Testing and Analysis (ISSTA 2006), pp. 191-202 Trent R Jaeger, 2006, "SELinux Protected Paths Revisited", Proceedings of the Second Annual Security Enhanced Linux Symposium, pp. 35-40 U. Shankar, Trent R Jaeger and R. Sailer, 2006, "Towards Automated Information-flow Integrity Verification for Security-critical Applications", Proceedings of the Thirteenth Annual Network and Distributed System Security Symposium (NDSS '06), pp. 267-280 Reiner Sailer, Trent R Jaeger, Enriquillo Valdez, Ramn Cceres, Ronald Perez, Stefan Berger, John Linwood Griffin and Leendert van Doorn, 2005, "Building a MAC-Based Security Architecture for the Xen Open-Source Hypervisor", pp. 276285 Vinod Ganapathy, Trent R Jaeger and Somesh Jha, 2005, "Automatic placement of authorization hooks in the linux security modules framework", pp. 330339 J. L. Griffin, Trent R Jaeger, R. Perez, R. Sailer, L. van Doorn and R. Cceres, 2005, "Trusted Virtual Domains: Toward Secure Distributed Service", Proceedings of the First Workshop on Hot Topics in System Dependability (HotDep '05), pp. 6 R. Sailer, E. Valdez, S. Berger, R. Perez, Trent R Jaeger and L. van Doorn, 2005, "Building a MAC-based Security Architecture for the Xen Opensource Hypervisor", Proceedings of the 2005 Annual Computer Security Applications Conference, pp. 249-258 , 2005, "21st Annual Computer Security Applications Conference (ACSAC 2005), 5-9 December 2005, Tucson, AZ, USA", IEEE Computer Society , 2005, "Proceedings of the 12th ACM Conference on Computer and Communications Security, CCS 2005, Alexandria, VA, USA, November 7-11, 2005", ACM Reiner Sailer, Trent R Jaeger, Xiaolan Zhang and Leendert van Doorn, 2004, "Attestation-based policy enforcement for remote access", pp. 308317 Trent R Jaeger, Reiner Sailer and Xiaolan Zhang, 2004, "Resolving constraint conflicts", pp. 105114 Reiner Sailer, Xiaolan Zhang, Trent R Jaeger and Leendert van Doorn, 2004, "Design and Implementation of a TCG-based Integrity Measurement Architecture", pp. 223238 , 2004, "Proceedings of the 11th ACM Conference on Computer and Communications Security, CCS 2004, Washington, DC, USA, October 25-29, 2004", ACM , 2004, "Proceedings of the 13th USENIX Security Symposium, August 9-13, 2004, San Diego, CA, USA", USENIX , 2004, "SACMAT 2004, 9th ACM Symposium on Access Control Models and Technologies, Yorktown Heights, New York, USA, June 2-4, 2004, Proceedings", ACM Trent R Jaeger, Reiner Sailer and Xiaolan Zhang, 2003, "Analyzing Integrity Protection in the SELinux Example Policy" , 2003, "Proceedings of the 10th ACM Conference on Computer and Communications Security, CCS 2003, Washington, DC, USA, October 27-30, 2003", ACM , 2003, "Proceedings of the 12th USENIX Security Symposium, Washington, D.C., USA, August 4-8, 2003", USENIX Association Antony Edwards, Trent R Jaeger and Xiaolan Zhang, 2002, "Runtime verification of authorization hook placement for the linuxsecurity modules framework", pp. 225234 Xiaolan Zhang, Antony Edwards and Trent R Jaeger, 2002, "Using CQUAL for Static Analysis of Authorization Hook Placement", pp. 3348 Xiaolan Zhang, Leendert van Doorn, Trent R Jaeger, Ronald Perez and Reiner Sailer, 2002, "Secure coprocessor-based intrusion detection", pp. 239242 Trent R Jaeger, Antony Edwards and Xiaolan Zhang, 2002, "Gaining and maintaining confidence in operating systems security", pp. 201204 Elisa Bertino, Trent R Jaeger, Jonathan D. Moffett, Sylvia L. Osborn and Ravi S. Sandhu, 2002, "Making access control more usable", pp. 141 Dawson R. Engler, Cynthia E. Irvine, Trent R Jaeger and David Wagner, 2002, "Cool security trends", pp. 53 Trent R Jaeger, Antony Edwards and Xiaolan Zhang, 2002, "Managing access control policies using access control spaces", pp. 312 , 2002, "Proceedings of the 10th ACM SIGOPS European Workshop, Saint-Emilion, France, July 1, 2002", ACM , 2002, "Proceedings of the 11th USENIX Security Symposium, San Francisco, CA, USA, August 5-9, 2002", USENIX , 2002, "Proceedings of the 9th ACM Conference on Computer and Communications Security, CCS 2002, Washington, DC, USA, November 18-22, 2002", ACM Antony Edwards, Trent R Jaeger and Xiaolan Zhang, 2002, "Runtime verification of authorization hook placement for the linux security modules framework", pp. 225234 Trent R Jaeger, 2001, "Managing access control complexity using metrices", pp. 131139 Ravi S. Sandhu, Elisa Bertino, Trent R Jaeger, D. Richard Kuhn and Carl E. Landwehr, 2001, "Panel: The next generation of acess control models (panel session):do we need them and what should they be?", pp. 53 Mohit Aron, Jochen Liedtke, Kevin Elphinstone, Yoonho Park, Trent R Jaeger and Luke Deller, 2001, "The SawMill Framework for Virtual Memory Diversity", pp. 310 , 2001, "6th Australasian Computer Systems Architecture Conference (ACSAC 2001), 29-30 January 2001, Gold Coast, Queensland, Australia", IEEE Computer Society Jonathon Tidswell and Trent R Jaeger, 2000, "An access control model for simplifying constraint expression", pp. 154163 Trent R Jaeger, Jonathon Tidswell, Alain Gefflaut, Yoonho Park, Kevin Elphinstone and Jochen Liedtke, 2000, "Synchronous IPC over transparent monitors", pp. 189194 Alain Gefflaut, Trent R Jaeger, Yoonho Park, Jochen Liedtke, Kevin Elphinstone, Volkmar Uhlig, Jonathon Tidswell, Luke Deller and Lars Reuther, 2000, "The Saw Mill multiserver approach", pp. 109114 Jonathon Tidswell and Trent R Jaeger, 2000, "Integrated constraints and inheritance in DTAC", pp. 93102 Trent R Jaeger and Jonathon Tidswell, 2000, "Rebuttal to the NIST RBAC model proposal", pp. 6566 , 2000, "CCS 2000, Proceedings of the 7th ACM Conference on Computer and Communications Security, Athens, Greece, November 1-4, 2000", ACM , 2000, "Proceedings of the ACM SIGOPS European Workshop, Kolding, Denmark, September 17-20, 2000", ACM Alain Gefflaut, Trent R Jaeger, Yoonho Park, Jochen Liedtke, Kevin Elphinstone, Volkmar Uhlig, Jonathon Tidswell, Luke Deller and Lars Reuther, 2000, "The SawMill multiserver approach", pp. 109114 Trent R Jaeger, Tony Michailidis and Roy Rada, 1999, "Access Control in a Virtual University", pp. 135140 Trent R Jaeger, Kevin Elphinstone, Jochen Liedtke, Vsevolod Panteleenko and Yoonho Park, 1999, "Flexible Access Control using IPC Redirection", pp. 191196 Jochen Liedtke, Volkmar Uhlig, Kevin Elphinstone, Trent R Jaeger and Yoonho Park, 1999, "How To Schedule Unlimited Memory Pinning of Untrusted Processes or Provisional Ideas about Service-Neutrality", pp. 153161 Trent R Jaeger, 1999, "On the Increasing Importance of Constraints", pp. 3342 , 1999, "Secure Internet Programming, Security Issues for Mobile and Distributed Objects", Springer, 1603 Trent R Jaeger, 1999, "Access Control in Configurable Systems", pp. 289316 , 1999, "8th Workshop on Enabling Technologies (WETICE 99), Infrastructure for Collaborative Enterprises, 16-18 June 1999, Stanford, CA, USA, Proceedings", IEEE Computer Society , 1999, "Proceedings of The Seventh Workshop on Hot Topics in Operating Systems, HotOS-VII, Rio Rico, Arizona, USA, March 28-30, 1999", IEEE Computer Society Jochen Liedtke, Nayeem Islam, Trent R Jaeger, Vsevolod Panteleenko and Yoonho Park, 1998, "Irreproducible benchmarks might be sometimes helpful", pp. 242246 Trent R Jaeger, Jochen Liedtke, Vsevolod Panteleenko, Yoonho Park and Nayeem Islam, 1998, "Security architecture for component-based operating systems", pp. 222228 Jochen Liedtke, Nayeem Islam, Trent R Jaeger, Vsevolod Panteleenko and Yoonho Park, 1998, "An unconventional proposal: using the x86 architecture as the ubiquitousvirtual standard architecture", pp. 237241 Jochen Liedtke, Vsevolod Panteleenko, Trent R Jaeger and Nayeem Islam, 1998, "High-Performance Caching With The Lava Hit-Server" Trent R Jaeger, Jochen Liedtke and Nayeem Islam, 1998, "Operating System Protection for Fine-Grained Programs" , 1998, "1998 USENIX Annual Technical Conference, New Orleans, Louisiana, USA, June 15-19, 1998", USENIX Association Jochen Liedtke, Nayeem Islam, Trent R Jaeger, Vsevolod Panteleenko and Yoonho Park, 1998, "An unconventional proposal: using the x86 architecture as the ubiquitous virtual standard architecture", pp. 237241 , 1998, "Proceedings of the 7th USENIX Security Symposium, San Antonio, TX, USA, January 26-29, 1998", USENIX Association , 1998, "Proceedings of the 8th ACM SIGOPS European Workshop: Support for Composing Distributed Applications, Sintra, Portugal, 7-10 September 1998", ACM Trent R Jaeger, Frederique Giraud, Nayeem Islam and Jochen Liedtke, 1997, "A role-based access control model for protection domain derivation and management", pp. 95106 Rangachari Anand, Nayeem Islam, Trent R Jaeger and Josyula R. Rao, 1997, "A Flexible Security Model for Using Internet Content", pp. 8996 Jochen Liedtke, Kevin Elphinstone, Sebastian Schnberg, Hermann Hrtig, Gernot Heiser, Nayeem Islam and Trent R Jaeger, 1997, "Achieved IPC Performance", pp. 2831 Jochen Liedtke, Nayeem Islam and Trent R Jaeger, 1997, "Preventing Denial-of-Service Attacks on a -Kernel for WebOSes", pp. 7379 , 1997, "Proceedings of The Sixth Workshop on Hot Topics in Operating Systems, HotOS-VI, Cape Cod, Massachusetts, USA, May 5-6, 1997", IEEE Computer Society , 1997, "The Sixteenth Symposium on Reliable Distributed Systems, SRDS 1997, Durham, North Carolina, USA, October 22-24, 1997, Proceedings", IEEE Computer Society Jang Ho Lee, Atul Prakash, Trent R Jaeger and Gwobaw Wu, 1996, "Supporting Multi-User, Multi-Applet Workspaces in CBE", pp. 344353 Trent R Jaeger and Atul Prakash, 1996, "Building Systems That Flexibly Download Executable Content" Trent R Jaeger and Aviel D. Rubin, 1996, "Preserving Integrity in Remote File Location and Retrieval", pp. 5363 , 1996, "1996 Symposium on Network and Distributed System Security, (S)NDSS 96, San Diego, CA, February 22-23, 1996", IEEE Computer Society , 1996, "CSCW 96, Proceedings of the ACM 1996 Conference on Computer Supported Cooperative Work, Boston, MA, USA, November 16-20, 1996", ACM , 1996, "Proceedings of the 6th USENIX Security Symposium, San Jose, CA, USA, July 22-25, 1996", USENIX Association Trent R Jaeger and Atul Prakash, 1995, "Implementation of a discretionary access control model for script-based systems", pp. 7084 Trent R Jaeger and Atul Prakash, 1995, "Management and utilization of knowledge for the automatic improvement of workflow performance", pp. 3243 , 1995, "Proceedings of the Conference on Organizational Computing Systems, COOCS 1995, Milpitas, California, USA, August 13-16, 1995", ACM Trent R Jaeger and Atul Prakash, 1995, "Representation and Adaptation of Organization Coordination Knowledge for Autonomous Agent Systems", pp. 103105 Trent R Jaeger and Atul Prakash, 1995, "Requirements of role-based access control for collaborative systems" , 1995, "SEKE95, The 7th International Conference on Software Engineering and Knowledge Engineering, June 22-24, 1995, Rockville, Maryland, USA, Proceedings", Knowledge Systems Institute , 1995, "The Eighth IEEE Computer Security Foundations Workshop (CSFW 95), March 13-15, 1995, Kenmare, County Kerry, Ireland", IEEE Computer Society Trent R Jaeger, Atul Prakash and Masayuki Ishikawa, 1994, "A Framework for Automatic Improvement of Workflows to Meet Performance Goals", pp. 640646 Trent R Jaeger and Atul Prakash, 1994, "Support for the File System Security Requirements of Computational E-Mail Systems", pp. 19 , 1994, "CCS 94, Proceedings of the 2nd ACM Conference on Computer and Communications Security, Fairfax, Virginia, USA, November 2-4, 1994", ACM , 1994, "Sixth International Conference on Tools with Artificial Intelligence, ICTAI 94, New Orleans, Louisiana, USA, November 6-9, 1994", IEEE Computer Society Trent R Jaeger and Atul Prakash, 1993, "BIZSPEC: A Business-Oriented Model for Specification and Analysisof Office Information Systems", pp. 191198 Trent R Jaeger and Atul Prakash, 1993, "BIZSPEC: A Business-Oriented Model for Specification and Analysis of Office Information Systems", pp. 191198 , 1993, "SEKE93, The 5th International Conference on Software Engineering and Knowledge Engineering, Tutorials, June 14-15, 1993, Technical Program, June 16-18, 1993, Hotel Sofitel, San Francisco Bay, USA", Knowledge Systems Institute Magazines/Trade Publications Archer Batcheller, Summer Craze Fowler, Robert Cunningham, Dinara Doyle, Trent R Jaeger and Ulf Lindqvist, 2017, "Building on the Success of Building Security" Other Trent R Jaeger, R. Sailer and Y. Sreenivasan, 2007, "Managing the Risk of Covert Information Flows in Virtual Machine Systems" J. McCune, S. Berger, R. Caceres, Trent R Jaeger and R. Sailer, 2006, "DeuTeRiuM: A System for Distributed Mandatory Access Control" Trent R Jaeger, P. McDaniel, L. St. Clair, R. Caceres and R. Sailer, 2006, "Shame on Trust in Distributed Systems" Trent R Jaeger, R. Sailer and U. Shankar, 2006, "PRIMA: Policy-Reduced Integrity Measurement Architecture" Research Projects Honors and Awards Service Service to Penn State: Service to External Organizations: diff --git a/src/data/compiled_bios/1506.txt b/src/data/compiled_bios/1506.txt new file mode 100644 index 0000000000..69cc06a40b --- /dev/null +++ b/src/data/compiled_bios/1506.txt @@ -0,0 +1 @@ + Mahmut Kandemir Professor Affiliation(s): School of Electrical Engineering and Computer Science Computer Science and Engineering W321 Westgate Building mtk2@psu.edu 814-863-4888 Research Areas: Interest Areas: Embedded systems, optimizing compilers, power-aware computing, large-scale data management. Education BS, Control and Computer Engineering, Instanbul Technical University, 1988 MS, Control and Computer Engineering, Istanbul Technical University, 1992 Ph D, Computer Science, Syracuse University, 1999 Publications Books Mahmut T Kandemir, L. Benini and J. Ramanujam, 2003, Compilers and Operating Systems for Low Power, Kluwer Academic Book, Chapters J. S. Hu, G. Chen, Mahmut T Kandemir and N. Vijaykrishnan, 2006, Software Power Optimisation, pp. 289-316 I. Kadayif, Mahmut T Kandemir, A. Choudhary, M. Karakoy, N. Vijaykrishnan and M. J. Irwin, 2005, Compiler-directed Communication Energy Optimizations for Microsensor Networks, CRC Press, pp. 711-734 H. Saputra, N. Vijaykrishnan, Mahmut T Kandemir, R. Brooks and M. J. Irwin, 2005, An Energy-aware Approach for Sensor Data Communication, CRC Press, pp. 697-720 N. Vijaykrishnan, M. J. Irwin, Mahmut T Kandemir, L. Li, G. Chen and B. Kang, 2005, Designing Energy-aware Sensor Systems, CRC Press, pp. 653-666 Mahmut T Kandemir and N. Dutt, 2004, Memory Systems and Compiler Support for MPSOC Architectures, pp. Ch. 9, 251-258 M. J. Irwin, L. Benini, N. Vijaykrishnan and Mahmut T Kandemir, 2004, Techniques for Designing Energy-aware MPSoCs, pp. Ch. 2, 21-47 G. Memik, Mahmut T Kandemir, A. Choudhary and I. Kadayif, 2003, An Integrated Approach for Improving Cache Behavior, Kluwer Academic Publishers Mahmut T Kandemir, I. Kolcu and W. Zhang, 2003, Implementation and Evaluation of an On-demand Parameter Passing Strategy for Reducing Energy, Kluwer Academic Publishers Mahmut T Kandemir, W. Zhang and M. Karakoy, 2003, Runtime Code Parallelization for On-chip Multiprocessors, Kluwer Academic Publishers V. De La Luz, Mahmut T Kandemir, I. Kadayif and U. Sezer, 2003, Generalized Data Transformations, Kluwer Academic Publishers Mahmut T Kandemir, G. Chen, W. Zhang and I. Kolcu, 2003, Data Space Oriented Scheduling, Kluwer Academic Publishers Mahmut T Kandemir, N. Vijaykrishnan and M. J. Irwin, 2002, Compiler Optimizations for Low-Power Systems, Kluwer Academic/Plenum Publishers, pp. 191-210 N. Vijaykrishnan, Mahmut T Kandemir, A. Sivasubramaniam and M. J. Irwin, 2002, Tools and Techniques for Integrated Hardware-Software Energy Optimizations, Kluwer Academic, pp. 277-295 A. Choudhary and Mahmut T Kandemir, 2002, Compilation for Distributed-Memory Architectures, CRC Press H. S. Kim, Mahmut T Kandemir, N. Vijaykrishnan and M. J. Irwin, 2001, Characterization of Memory Energy Behavior, Kluwer Academic, pp. 165-180 Journal Articles Sanem Arslan, Haluk Rahmi Topcuoglu, Mahmut T Kandemir and Oguz Tosun, 2017, "A selective protection scheme of applications using asymmetrically reliable caches", Journal of Systems Architecture - Embedded Systems Design, 75, pp. 133-144 Wonil Choi, Mohammad Arjomand, Myoungsoo Jung and Mahmut T Kandemir, 2017, "Exploiting Data Longevity for Enhancing the Lifetime of Flash-based Storage Class Memory", POMACS, 1, (1) Mohammad Arjomand, Amin Jadidi, Mahmut T Kandemir, Anand Sivasubramaniam and Chitaranjan Das, 2017, "HL-PCM: MLC PCM Main Memory with Accelerated Read", IEEE Transactions on Parallel and Distributed Systems, 28, (11), pp. 3188-3200 zcan zturk, Umut Orhan, Wei Ding, Praveen Yedlapalli and Mahmut T Kandemir, 2017, "Cache Hierarchy-Aware Query Mapping on Emerging Multicore Architectures", IEEE Transactions on Computers, 66, (3), pp. 403-415 S. Arslan, H.R. Topcuoglu, Mahmut T Kandemir and O. Tosun, 2016, "Asymmetrically reliable caches for multicore architectures under performance and energy constraints (", Cluster Computing, 19, (4), pp. 1819-1833 E. Kltrsay, K. B. Ebcioglu, G. Kk and Mahmut T Kandemir, 2016, "Memory Partitioning in the Limit", International Journal of Parallel Programming, 44, (2), pp. 43 Myoungsoo Jung, Wonil Choi, Shuwen Gao, Ellis Herbert Wilson, III, David Donofrio, John Shalf and Mahmut T Kandemir, 2016, "NANDFlashSim: High-Fidelity, Microarchitecture-Aware NAND FlashMemory Simulation", ACM Transactions on Storage, 12, (2) Hsiang-Yun Cheng, Matt Poremba, Narges Shahidi, Ivan Stalev, Mary Jane Irwin, Mahmut T Kandemir, John Sampson and Yuan Xie, 2015, "EECache: A Comprehensive Study on the Architectural Design for Energy-Efficient Last-Level Caches in Chip Multiprocessors", ACM Transactions on Architecture and Code Optimization, 12, (2), pp. 17 Seong Jo Kim, Yuanrui Zhang, Seung Woo Son, Mahmut T Kandemir, Wei-keng Liao, Rajeev Thakur and Alok N. Choudhary, 2015, "IOPro: a parallel I/O profiling and visualization framework forhigh-performance storage systems", The Journal of Supercomputing, 71, (3), pp. 840870 Seong Jo Kim, Yuanrui Zhang, Seung Woo Son, Mahmut T Kandemir, Wei-keng Liao, Rajeev Thakur and Alok N. Choudhary, 2015, "IOPro: a parallel I/O profiling and visualization framework forhigh-performance storage systems", The Journal of Supercomputing, 71, (3), pp. 840870 Gabriel Rodrguez, Juan Tourino and Mahmut T Kandemir, 2015, "Volatile STT-RAM Scratchpad Design and Data Allocation for Low Energy", Transactions on Architecture and Code Optimization, 11, (4), pp. 38 Shankar Prasad Sastry, Emre Kultursay, Suzanne M Shontz and Mahmut T Kandemir, 2014, "Improved cache utilization and preconditioner efficiency through useof a space-filling curve mesh element- and vertex-reordering technique", Eng. Comput. (Lond.), 30, (4), pp. 535547 Myoungsoo Jung, Ellis H. Wilson, III, Wonil Choi, John Shalf, Hasan Metin Aktulga, Chao Yang, Erik Saule, mit V. Catalyrek and Mahmut T Kandemir, 2014, "Exploring the future of out-of-core computing with compute-local non-volatile memory", Scientific Programming, 22, (2), pp. 125139 Shankar Prasad Sastry, Emre Kultursay, Suzanne M Shontz and Mahmut T Kandemir, 2014, "Improved cache utilization and preconditioner efficiency through use of a space-filling curve mesh element- and vertex-reordering technique", Eng. Comput. (Lond.), 30, (4), pp. 535547 I. Oz, H. Topcuoglu, Mahmut T Kandemir and O. Tosun, 2013, "Examining Thread Vulnerability Analysis using Fault-injection", pp. 240-245 O. Ozturk, Mahmut T Kandemir and G. Chen, 2013, "Compiler-Directed Energy Reduction Using Dynamic Voltage Scaling and Voltage Islands for Embedded Systems", IEEE Transactions on Computers, 62, (2), pp. 268-278 W. Ding, Y. Zhang, Mahmut T Kandemir and S. Son, 2013, "Compiler-Directed File Layout Optimization for Hierarchical Storage Systems", Scientific Programming, 21, (3-4), pp. 65-78 K. Swaminathan, E. Kultursay, V. Saripalli, N. Vijaykrishnan, Mahmut T Kandemir and S. Datta, 2013, "Steep-Slope Devices: From Dark to Dim Silicon", IEEE Micro, 33, (5), pp. 50-59 I. Oz, H. Topcuoglu, Mahmut T Kandemir and O. Tosun, 2012, "Reliability-aware Core Partitioning in Chip Multiprocessors", Journal of Systems Architecture, 58, (3-4), pp. 160-176 Yuanrui Zhang, Jun Liu, Emre Kultursay, Mahmut T Kandemir, Nikos Pitsianis and Xiaobai Sun, 2012, "Automatic Parallel Code Generation for NUFFT Data Translation onmulticores", Journal of Circuits, Systems, and Computers, 21, (2) Isil Oz, Haluk Rahmi Topcuoglu, Mahmut T Kandemir and Oguz Tosun, 2012, "Reliability-aware core partitioning in chip multiprocessors", Journal of Systems Architecture - Embedded Systems Design, 58, (3-4), pp. 160176 Isil Oz, Haluk Rahmi Topcuoglu, Mahmut T Kandemir and Oguz Tosun, 2012, "Thread vulnerability in parallel applications", J. Parallel Distrib. Comput., 72, (10), pp. 11711185 Yuanrui Zhang, Jun Liu, Sai Prashanth Muralidhara and Mahmut T Kandemir, 2011, "BrickX: building hybrid systems for recursive computations", SIGMETRICS Performance Evaluation Review, 39, (3), pp. 98100 Sai Prashanth Muralidhara and Mahmut T Kandemir, 2011, "Communication Based Proactive Link Power Management", T. HiPEAC, 4, pp. 135154 Betl Demirz, Haluk Rahmi Topcuoglu, Mahmut T Kandemir and Oguz Tosun, 2011, "Particle simulation on the Cell BE architecture", Cluster Computing, 14, (4), pp. 419432 W.-L. Hung, Y. Xie, N. Vijaykrishnan, Mahmut T Kandemir and M. J. Irwin, 2010, "Total Power Optimization for Combinational Logic Using Genetic Algorithms", Journal of VLSI Signal Processing Systems, 58, (2), pp. 145-160 Y. Ding, Mahmut T Kandemir, P. Raghavan and M. J. Irwin, 2009, "Adapting Application Execution in CMPs Using Helper Threads", Journal of Parallel and Distributed Computing, 69, (9), pp. 790-806 J. Hu, F. Li, V. Degalahal, Mahmut T Kandemir, N. Vijaykrishnan and M. J. Irwin, 2009, "Compiler-assisted Soft Error Detection under Performance and Energy Constraints in Embedded Systems", ACM Transactions on Embedded Computing Systems, 8, (4), pp. 30 R. R. Brooks, P. Y. Govindaraju, M. Pirretti, N. Vijaykrishnan and Mahmut T Kandemir, 2009, "Clone Detection in Sensor Networks with Ad Hoc and Grid Topologies", International Journal of Distributed Sensor Networks, 5, (3), pp. 209-223 M. Mutyam, F. Wang, R. Krishnan, N. Vijaykrishnan, Mahmut T Kandemir, Y. Xie and M. J. Irwin, 2009, "Process-Variation-Aware Adaptive Cache Architecture and Management", IEEE Transactions on Computers, 58, (7), pp. 865-877 O. Ozturk, Mahmut T Kandemir and M. J. Irwin, 2009, "Using Data Compression for Increasing Memory System Utilization", IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 28, (6), pp. 901-914 P. Unnikrishnan, P. G. Chen, Mahmut T Kandemir, M. Karakoy and I. Kolcu, 2009, "Reducing Memory Requirements of Resource-Constrained Applications", ACM Transactions on Embedded Computing Systems (TECS), 8, (3), pp. 37 O. Ozturk, Mahmut T Kandemir, S. W. Son and I. Kolcu, 2009, "Shared Scratch Pad Memory Space Management Across Applications", International Journal of Embedded Systems (IJES), 4, (1), pp. 54-65 I. Kadayif, A. Zorlubas, S. Koyuncu, O. Kabal, D. Akciek, Y. Sahin and Mahmut T Kandemir, 2008, "Capturing and Optimizing the Interactions between Prefetching and Cache Line Turnoff", Microprocessors and Microsystems, 32, (7), pp. 394-404 O. Ozturk, Mahmut T Kandemir and G. Chen, 2008, "Access Pattern-Based Code Compression for Memory-Constrained Systems", ACM Transactions on Design Automation of Electronic Systems (TODAES), 13, (4), pp. 30 G. Chen and Mahmut T Kandemir, 2008, "Compiler-Directed Code Restructuring for Improving Performance of MPSoCs", IEEE Transactions on Parallel and Distributed Systems, 19, (9), pp. 1201-1214 O. Ozturk and Mahmut T Kandemir, 2008, "ILP-Based Energy Minimization Techniques for Banked Memories", ACM Transactions on Design Automation of Electronic Systems (TODAES), 13, (3), pp. 50.1-50.40 R. Brooks, P. Govindaraju, N. Vijaykrishnan, Mahmut T Kandemir and M. Piretti, 2007, "On the Detection of Clones in Sensor Networks Using Random Key Predistribution", IEEE Transactions on Systems, Man, and Cybernetics, 37, (6), pp. 1246-1258 B. Demiroz, H. Topcuoglu and Mahmut T Kandemir, 2007, "Solving the Register Allocation Problem for Embedded Systems Using a Hybrid Evolutionary Algorithm", IEEE Transactions on Evolutionary Computation, 11, (5), pp. 620-634 Y. Xie, Mahmut T Kandemir, N. Vijaykrishnan and M. J. Irwin, 2007, "Reliability-Aware Co-synthesis for Embedded Systems", Journal of VLSI Signal Processing, 49, (1), pp. 87-99 S. W. Son, K. Malkowski, G. Chen, Mahmut T Kandemir and P. Raghavan, 2007, "Reducing Energy Consumption of Parallel Sparse Matrix Applications Through Integrated Link/CPU Voltage Scaling", Journal of Supercomputing, 41, (3), pp. 179-213 S. W. Son, G. Chen, O. Ozturk, Mahmut T Kandemir and A. Choudhary, 2007, "Compiler-directed Energy Optimization for Parallel Disk Based Systems", IEEE Transactions on Parallel and Distributed Systems (TPDS), 18, (9), pp. 1241-1257 S. W. Son and Mahmut T Kandemir, 2007, "A Prefetching Algorithm for Multi-speed Disks", Transactions on High-Performance Embedded Architectures and Compilers, Special Issue on Future Directions in Embedded Systems Compilation, 4050, pp. 317-340 G. Chen and Mahmut T Kandemir, 2007, "An Approach for Enhancing Inter-processor Data Locality on Chip Multiprocessors", Transactions on High-Performance Embedded Architectures and Compilers, Special Issue on Future Directions in Embedded Systems Compilation, 4050, pp. 214-233 I. Kadayif, P. Nath, Mahmut T Kandemir and A. Sivasubramaniam, 2007, "Reducing Data TLB Power via Compiler-directed Address Generation", IEEE Transactions on CAD, 26, (2), pp. 312-324 A. Gayasen, S. Srinivasan, N. Vijaykrishnan and Mahmut T Kandemir, 2007, "Design of Power-aware FPGA Fabrics", International Journal of Embedded Systems (IJES), 3, (1/2), pp. 52-64 M. Pirretti, S. Zhu, N. Vijaykrishnan, P. McDaniel, Mahmut T Kandemir and R. Brooks, 2006, "The Sleep Deprivation Attack in Sensor Networks: Analysis and Methods of Defense", International Journal of Distributed Sensor Networks, 2, (3), pp. 267-287 V. De La Luz, Mahmut T Kandemir and I. Kolcu, 2006, "Reducing Memory Energy Consumption of Embedded Applications that Process Dynamically-allocated Data", IEEE Transactions on CAD, 25, (9), pp. 1855-1860 G. Memik, Mahmut T Kandemir, W.-K. Liao and A. Choudhary, 2006, "Multi-collective I/O: a Technique for Exploiting Inter-file Access Patterns", ACM Transactions on Storage (TOS), 2, (3), pp. 349-369 Mahmut T Kandemir, 2006, "Reducing Energy Consumption of Multiprocessor SoC Architectures by Exploiting Memory Bank Locality", ACM Transactions on Design Automation of Electronic Systems (TODAES), 11, (2), pp. 410-441 G. Chen, Mahmut T Kandemir, M. J. Irwin and J. Ramanujam, 2006, "Reducing Code Size Through Address Register Assignment", ACM Transactions on Embedded Computing (TECS), 5, (1), pp. 225-258 C. Liu, A. Sivasubramaniam and Mahmut T Kandemir, 2006, "Optimizing Bus Energy Consumption of On-Chip Multiprocessors Using Frequent Values", Journal of Systems Architecture, Special Issue on Best Papers of Euromicro Conference on Parallel and Distributed Processing, 52, (2), pp. 129-142 W. Zhang, Y.-F. Tsai, D. Duarte, N. Vijaykrishnan, Mahmut T Kandemir and M. J. Irwin, 2006, "Reducing Dynamic and Leakage Energy in VLIW Architectures", ACM Transactions on Embedded Computing Systems, Special Issue on Power-Aware Embedded Computing, 5, (1), pp. 1-28 M. Vilayannur, A. Sivasubramaniam, Mahmut T Kandemir, R. Thakur and R. Ross, 2006, "Discretionary Caching for I/O on Clusters", Journal on Cluster Computing: Special Issue on Parallel I/O in Computational Grids and Cluster Computing Systems, 9, (1), pp. 29-44 J. Ramanujam, J. Hong, Mahmut T Kandemir and A. Narayan, 2006, "Estimating and Reducing the Memory Requirements of Signal Processing Codes for Embedded Processor Systems", EEE Transactions on Signal Processing (TSP), 54, (1), pp. 286-294 Mahmut T Kandemir, J. Ramanujam and U. Sezer, 2006, "Improving the Energy Behavior of Block Buffering Using Compiler Optimizations", ACM Transactions on Design Automation of Electronic Systems (TODAES), 11, (1), pp. 228-250 J. Hu, Mahmut T Kandemir, N. Vijaykrishnan and M. J. Irwin, 2005, "Analyzing Data Reuse for Cache Reconfiguration", ACM Transactions on Embedded Computer Systems (TECS), 4, (4), pp. 851-876 S. Kim, N. Vijaykrishnan, Mahmut T Kandemir and M. J. Irwin, 2005, "Optimizing Leakage Energy Consumption in Cache Bitlines", Journal of Design Automation for Embedded Systems (DAES), 9, (1), pp. 15-18 I. Kadayif, A. Sivasubramaniam, Mahmut T Kandemir, G. Kandiraju and G. Chen, 2005, "Optimizing Instruction TLB Energy Using Software and Hardware Techniques", ACM Transactions on Design Automation of Electronic Systems, 10, (2), pp. 229-257 Mahmut T Kandemir, 2005, "Improving Whole-program Locality using Intra-procedural and Inter-procedural Transformations", Journal of Parallel and Distributed Computing (JPDC), 65, (7), pp. 564-582 S. Kim, N. Vijaykrishnan, Mahmut T Kandemir and M. J. Irwin, 2005, "Exploiting Temporal Loads for Low Latency and High Bandwidth Memory", IEE Proceeding: Computers and Digital Techniques, 152, (4), pp. 457-466 I. Kadayif and Mahmut T Kandemir, 2005, "Data Space-oriented Tiling for Enhancing Locality", ACM Transactions on Embedded Computing Systems (TECS), 4, (2), pp. 388-414 W. Zhang, Mahmut T Kandemir, M. Karakoy and G. Chen, 2005, "Reducing Data Cache Leakage Energy using a Compiler-based Approach", ACM Transactions on Embedded Computing Systems (TECS), 4, (3), pp. 652-678 E.-J. Kim, G. Link, K. H. Yum, N. Vijaykrishnan, Mahmut T Kandemir, M. J. Irwin and C. R. Das, 2005, "A Holistic Approach to Designing Energy-Efficient Cluster Interconnects", IEEE Transactions on Computers, 54, (6), pp. 660-671 W. Zhang, Y. F. Tsai, Mahmut T Kandemir, N. Vijaykrishnan, M. J. Irwin and V. De, 2005, "Leakage-Aware Compilation for VLIW Architectectures", IEE Proceedings: Computers and Digital Techniques, 152, (2), pp. 251-260 I. Kadayif, Mahmut T Kandemir, N. Vijaykrishnan and M. J. Irwin, 2005, "An Integar Linear Programming Based Tool for Wireless Sensor Networks", Journal of Parallel and Distributed Computing (JPDC), 65, (3), pp. 247-260 V. Degalahal, L. Li, N. Vijaykrishnan, Mahmut T Kandemir and M. J. Irwin, 2005, "Soft Error Issues in Low Power Caches", IEEE Transactions on VLSI, 13, (10), pp. 1157-1166 I. Kadayif, Mahmut T Kandemir, G. Chen, O. Ozturk, M. Karakoy and U. Sezer, 2005, "Optimizing Array-Intensive Applications for On-Chip Multiprocessors", IEEE Transactions on Parallel and Distributed Systems, 16, (5), pp. 396-411 E. Swankowski, N. Vijaykrishnan, R. Brooks, Mahmut T Kandemir and M. J. Irwin, 2005, "Symmetric Encryption in Reconfigurable and Custom Hardware", International Journal of Embedded Systems, 1, (3/4), pp. 205-217 E. Lattanzi, A. Bogliolo, A. Gayasen, Mahmut T Kandemir, N. Vijaykrishnan and L. Benini, 2005, "Improving Java Performance Using Dynamic Method Migration on FPGAs", International Journal of Embedded Systems, 1, (3/4), pp. 228-236 I. Kadayif, Mahmut T Kandemir, G. Chen, N. Vijaykrishnan, M. J. Irwin and A. Sivasubramaniam, 2005, "Compiler-directed High-level Energy Estimation and Optimization", ACM Transactions on Embedded Computing Systems (TECS), 4, (4), pp. 819-850 Mahmut T Kandemir, M. J. Irwin, G. Chen and I. Kolcu, 2005, "Compiler-Guided Leakage Optimization for Banked Scratch-Pad Memories", IEEE Transactions on VLSI, 13, (10), pp. 1136-1146 V. De La Luz and Mahmut T Kandemir, 2004, "Array Regrouping and Its use in Compiling Data-Intensive Embedded Applications", IEEE Transactions on Computers (TC), 53, (1), pp. 1-19 S. Kim, S. Tomar, N. Vijaykrishnan, Mahmut T Kandemir and M. J. Irwin, 2004, "Energy-Efficient Java Execution Using Local Memory and Object Co-location", IEE Proceedings: Computers and Digital Techniques, 151, (1), pp. 33-42 Mahmut T Kandemir, J. Ramanujam, M. J. Irwin, N. Vijaykrishnan, I. Kadayif and A. Parikh, 2004, "A Compiler Based Approach for Dynamically Managing Scratch-pad Memories in Embedded Systems", IEEE Transactions on Computer Aided Design, 23, (2), pp. 243-260 W. Zhang, J. S. Hu, V. Degalahal, Mahmut T Kandemir, N. Vijaykrishnan and M. J. Irwin, 2004, "Reducing Instruction Cache Energy Consumption Using a Compiler-based Strategy", ACM Transactions on Architecture and Code Optimization (TACO), 1, (1), pp. 3-33 Mahmut T Kandemir, I. Kadayif, A. Choudhary, J. Ramanujam and I. Kolcu, 2004, "Compiler-Directed Scratch Pad Memory Optimization for Embedded Multiprocessors", IEEE Transactions on VLSI, 12, (3), pp. 281-287 S. C. Chiu, W.-K. Liao, A. Choudhary and Mahmut T Kandemir, 2004, "Processor-embedded Distributed Smart Disks for I/O-intensive Workloads: Architectures, Performance Models, and Evaluation", Journal of Parallel and Distributed Computing (JPDC), 64, (3), pp. 427-446 V. De La Luz, I. Kadayif, Mahmut T Kandemir and U. Sezer, 2004, "Access Pattern Restructuring for Memory Energy", Transactions on Parallel and Distributed Systems (TPDS), 15, (4), pp. 289-303 A. Parikh, S. Kim, Mahmut T Kandemir, N. Vijaykrishnan and M. J. Irwin, 2004, "Instruction Scheduling for Low Power", Journal of VLSI Signal Processing Systems, 37, (1), pp. 129-149 G. Chen, B. Kang, Mahmut T Kandemir, N. Vijaykrishnan, M. J. Irwin and R. Chandramouli, 2004, "Studying Energy Tradeoffs in Off-loading Computation/Compilation in Java-enabled Mobile Devices", IEEE Transactions on Parallel and Distributed Systems (TPDS), 15, (9), pp. 795-809 I. Kadayif and Mahmut T Kandemir, 2004, "Quasi-dynamic Layout Optimizations for Improving Data Locality", IEEE Transactions on Parallel and Distributed Systems (TPDS), 15, (11), pp. 996-1011 X. Shen, W. Liao, A. Choudhary, G. Memik and Mahmut T Kandemir, 2003, "A High Performance Application Data Environment for Large-scale Scientific Computations", IEEE Transactions on Parallel and Distributed Systems (TPDS), 14, (12), pp. 1262-1274 N. Vijaykrishnan, Mahmut T Kandemir, M. J. Irwin, H. Kim and W. Ye, 2003, "Evaluating Integrated Hardware-Software Optimizations Using a Unified Energy Estimation Framework", IEEE Transactions on Computers, 52, (1), pp. 59-76 M. Wolf and Mahmut T Kandemir, 2003, "Memory System Optimization of Embedded Software", Proceedings of the IEEE Special Issue on Modeling and Design of Embedded Software, 91, (1), pp. 165-184 L. Li, I. Kadayif, Y.-F. Tsai, N. Vijaykrishnan, Mahmut T Kandemir, M. J. Irwin and A. Sivasubramaniam, 2003, "Managing Leakage Energy in Cache Hierarchies", Journal of Instruction-level Parallelism, 5 Mahmut T Kandemir, A. Choudhary, J. Ramanujam and P. Banerjee, 2003, "Reducing False Sharing and Improving Spatial Locality in a Unified Compilation Framework", IEEE Transactions on Parallel and Distributed Systems (TPDS), 14, (4), pp. 337-354 S. Kim, N. Vijaykrishnan, Mahmut T Kandemir, A. Sivasubramaniam and M. J. Irwin, 2003, "Partitioned Instruction Cache Architecture For Energy Efficiency", ACM Transactions on Embedded Computing Systems: Special Issue on Compilers, Architecture, and Synthesis for Embedded Systems, 2, (2), pp. 163-185 H. Saputra, N. Vijaykrishnan, Mahmut T Kandemir, M. J. Irwin, R. Brooks, S. Kim and W. Zhang, 2003, "Masking the Energy Behavior of Encryption Algorithms", IEE Proceedings: Computers and Digital Techniques, 150, (5), pp. 274-284 S. Gurumurthi, A. Sivasubramaniam, Mahmut T Kandemir and H. Franke, 2003, "Reducing the Disk Power Consumption in Servers: The DRPM Approach", IEEE Computer: Special Issue on Power-Aware & Temperature-Aware Computing, 36, (12), pp. 59-66 N. Kim, T. Austin, D. Blaauw, T. Mudge, K. Flautner, J. S. Hu, M. J. Irwin, Mahmut T Kandemir and N. Vijaykrishnan, 2003, "Leakage Current: Moore's Law Meets Static Power", IEEE Computer, Special Issue on Power- and Temperature-Aware Computing, 36, (12), pp. 68-75 Mahmut T Kandemir, A. Choudhary and J. Ramanujam, 2002, "An I/O-Conscious Tiling Strategy for Disk-Resident Data Sets", Journal of Supercomputing, 21, (3), pp. 257-284 M. Kandaswamy, Mahmut T Kandemir, A. Choudhary and D. Bernholdt, 2002, "An Experimental Evaluation of I/O Optimizations on Different Applications", IEEE Transactions on Parallel and Distributed Systems (TPDS), 13, (7), pp. 728-744 G. Chen, Mahmut T Kandemir, N. Vijaykrishnan, M. J. Irwin and W. Wolf, 2002, "Using Memory Compression for Energy Reduction in an Embedded Java System", Journal of Circuits, Systems and Computers, 11, (5), pp. 537-556 G. Chen, Mahmut T Kandemir, N. Vijaykrishnan, M. J. Irwin and M. Woclzko, 2002, "Tuning Garbage Collection for Reducing Memory System Energy in an Embedded Java Environment", ACM Transactions on Embedded Computer Systems, 1, (1), pp. 27-55 N. An, S. Gurumurthi, A. Sivasubramaniam, N. Vijaykrishnan, Mahmut T Kandemir and M. J. Irwin, 2002, "Energy-Performance Trade-Offs for Spatial Access Methods on Memory-Resident Data", International Journal on Very Large Databases, 11, (3), pp. 179-197 Mahmut T Kandemir, 2002, "Compiler-Directed Optimizations for Improving the Performance of I/O Intensive Applications", International Journal of Parallel and Distributed Systems and Networks, 5, (2), pp. 52-65 Mahmut T Kandemir, P. Banerjee, A. Choudhary, J. Ramanujam and E. Ayguade, 2001, "Static and Dynamic Locality Optimizations Using Integer Linear Programming", IEEE Transactions on Parallel and Distributed Computing (TPDS), 12, (9), pp. 922-941 V. De La Luz, Mahmut T Kandemir, N. Vijaykrishnan, A. Sivasubramaniam and M. J. Irwin, 2001, "Hardware and Software Techniques for Controlling DRAM Power Modes", IEEE Transactions on Computers, Special Issue on Advances in High Performance Memory Systems, 50, (11), pp. 1154-1173 Mahmut T Kandemir, J. Ramanujam, A. Choudhary and P. Banerjee, 2001, "A Layout-conscious Iteration Space Transformation Technique", IEEE Transactions on Computers, 50, (12), pp. 1321-1336 Mahmut T Kandemir, 2001, "Compiler-directed Collective-I/O", IEEE Transactions on Parallel and Distributed Systems (TPDS), 12, (12), pp. 1318-1331 Mahmut T Kandemir, N. Vijaykrishnan, M. J. Irwin and W. Ye, 2001, "Influence of Compiler Optimizations on System Power", IEEE Transactions on VLSI Systems, 9, (6), pp. 801-804 G. Esakkimuthu, H. S. Kim, Mahmut T Kandemir, N. Vijaykrishnan and M. J. Irwin, 2001, "Investigating Memory System Energy Behavior Using Software and Hardware Optimizations", Special issue in Low power System Design of VLSI DESIGN Journal, 12, (2), pp. 151-165 G. Memik, Mahmut T Kandemir and A. Choudhary, 2001, "Design and Evaluation of Smart-disk Cluster for DSS Commercial Workloads", Journal of Parallel and Distributed Computing (JPDC): Special Issue on Cluster and Network-based Computing, 61, (2), pp. 1633-1664 Mahmut T Kandemir and J. Ramanujam, 2001, "Data Relation Vectors: A New Abstraction for Data Optimizations", IEEE Transactions on Computers (TC), 50, (8), pp. 798-810 M. J. Irwin, Mahmut T Kandemir and N. Vijaykrishnan, 2001, "SimplePower: A Cycle-Accurate Energy Simulator", IEEE Technical Committee on Computer Architecture (TCCA) Newsletter, pp. 59-64 Mahmut T Kandemir, A. Choudhary, J. Ramanujam and M. Kandaswamy, 2000, "A Unified Framework for Optimizing Locality, Parallelism, and Communication in Out-of-Core Computations", IEEE Transactions on Parallel and Distributed Systems (TPDS), 11, (7), pp. 648-668 Mahmut T Kandemir, J. Ramanujam and A. N. Choudhary, 2000, "Compiler Algorithms for Optimizing Locality and Parallelism on Shared and Distributed-Memory Machines", Journal of Parallel and Distributed Computing, 60, (8), pp. 924-965 A. Choudhary, Mahmut T Kandemir, J. No, G. Memik, X. Shen, W. Liao, H. Nagesh, S. More, V. Taylor, R. Thakur and R. Stevens, 2000, "Data Management for Large-Scale Scientific Computations in High Performance Distributed Systems", Cluster Computing, 3, (1), pp. 45-60 Mahmut T Kandemir, A. Choudhary, P. Banergee, J. Ramanujam and N. Shenoy, 2000, "Minimizing Data and Synchronization Costs in One-Way Communication", IEEE Transactions on Parallel and Distributed Systems (TPDS), 11, (12), pp. 1232-1251 Mahmut T Kandemir and I. Demirkiran, 2000, "Register Relabeling for Energy Reduction", IEEE TCVLSI Technical Bulletin, pp. 1-6 Conference Proceedings Orhan Kislal, Jagadish Kotra, Xulong Tang, Mahmut T Kandemir and Myoungsoo Jung, 2017, "POSTER: Location-Aware Computation Mapping for Manycore Processors", pp. 138-139 Nima Elyasi, Mohammad Arjomand, Anand Sivasubramaniam, Mahmut T Kandemir, Chitaranjan D ands, Myoungsoo Jung , 2017, "Exploiting Intra-Request Slack to Improve SSD Performance", pp. 375-378 Jagadish B. Kotra, Narges Shahidi, Zeshan A. Chishti and Mahmut T Kandemir, 2017, "Hardware-Software Co-design to Mitigate DRAM Refresh Overheads: A Case for Refresh-Aware Process Scheduling", pp. 723-736 Amin Jadidi, Mohammad Arjomand, Mohammad Khavari Tavana, David R. Kaeli, Mahmut T Kandemir and Chitaranjan Das, 2017, "Exploring the Potential for Collaborative Data Compression and Hard-Error Tolerance in PCM Memories", pp. 85-96 Xulong Tang, Ashutosh Pattnaik, Huaipan Jiang, Onur Kayiran, Adwait Jog, Sreepathi Pai, Mohamed Ibrahim, Mahmut T Kandemir and Chitaranjan Das, 2017, "Controlled Kernel Launch for Dynamic Parallelism in GPUs", pp. 649-660 Mohammad Arjomand, Amin Jadidi, Mahmut T Kandemir and Chitaranjan Das, 2017, "Leveraging value locality for efficient design of a hybrid cache in multicore processors", pp. 1-8 Wonil Choi, Myoungsoo Jung, Mahmut T Kandemir and Chitaranjan Das, 2017, "A Scale-Out Enterprise Storage Architecture", pp. 549-556 Prashanth Thinakaran, Jashwant Raj Gunasekaran, Bikash Sharma, Mahmut T Kandemir and Chitaranjan Das, 2017, "Phoenix: A Constraint-Aware Scheduler for Heterogeneous Datacenters", pp. 977-987 Miryeong Kwon, Jie Zhang, Gyuyoung Park, Wonil Choi, David Donofrio, John Shalf, Mahmut T Kandemir and Myoungsoo Jung, 2017, "TraceTracker: Hardware/software co-evaluation for large-scale I/O workload reconstruction", pp. 87-96 Jagadish B. Kotra, Seongbeom Kim, Kamesh Madduri and Mahmut T Kandemir, 2017, "Congestion-aware memory management on NUMA platforms: A VMware ESXi case study", pp. 146-155 Morteza Ramezani, Nima Elyasi, Mohammad Arjomand, Mahmut T Kandemir and Anand Sivasubramaniam, 2017, "Exploring the impact of memory block permutation on performance of a crossbar ReRAM main memory", pp. 167-176 Prasanna Venkatesh Rengasamy, Haibo Zhang, Nachiappan Chidambaram Nachiappan, Shulin Zhao, Anand Sivasubramaniam, Mahmut T Kandemir and Chitaranjan Das, 2017, "Characterizing diverse handheld apps for customized hardware acceleration", pp. 187-196 Jagadish B. Kotra, Diana Guttman, Nachiappan Chidambaram Nachiappan, Mahmut T Kandemir and Chitaranjan Das, 2017, "Quantifying the Potential Benefits of On-chip Near-Data Computing in Manycore Processors", pp. 198-209 Akbar Sharifi, Wei Ding, Diana Guttman, Hui Zhao, Xulong Tang, Mahmut T Kandemir and Chitaranjan Das, 2017, "DEMM: A Dynamic Energy-Saving Mechanism for Multicore Memories", pp. 210-220 Mohammad Khavari Tavana, Amir Kavyan Ziabari, Mohammad Arjomand, Mahmut T Kandemir, Chitaranjan Das and David R. Kaeli, 2017, "REMAP: a reliability/endurance mechanism for advancing PCM", pp. 385-398 Kaisheng Ma, Xueqing Li, Jinyang Li, Yongpan Liu, Yuan Xie, John Sampson, Mahmut T Kandemir and Vijaykrishnan Narayanan, 2017, "Incidental computing on IoT nonvolatile processors", pp. 204-218 Haibo Zhang, Prasanna Venkatesh Rengasamy, Shulin Zhao, Nachiappan Chidambaram Nachiappan, Anand Sivasubramaniam, Mahmut T Kandemir, Ravi Iyer and Chitaranjan Das, 2017, "Race-to-sleep + content caching + display caching: a recipe for energy-efficient video streaming on handhelds", pp. 517-531 Xulong Tang, Orhan Kislal, Mahmut T Kandemir and Mustafa Karaky, 2017, "Data movement aware computation partitioning", pp. 730-744 Muhammad Aditya Sasongko, Haluk Rahmi Topcuoglu, Sanem Arslan and Mahmut T Kandemir, 2017, "Compiler-Enhanced Reliability for Network-on-Chip Architectures", pp. 584-588 Amin Jadidi, Mohammad Arjomand, Mahmut T Kandemir and Chitaranjan Das, 2017, "Optimizing energy consumption in GPUS through feedback-driven CTA scheduling", 12, pp. 1-12 Xuanhua Shi, Hong An, Chao Wang, Mahmut T Kandemir and Hai Jin, 2017, "Network and Parallel Computing - 14th IFIP WG 10.3 International Conference", Springer O. Kayiran, A. Jog, A. Pattnaik, R. Ausavarungnirun, Xiaorui Tang, Mahmut T Kandemir, G. H. Loh, O. Mutlu and Chitaranjan Das, 2016, "c-States: Fine-grained GPU Datapath Power Management", Institute of Electrical and Electronics Engineers Inc., USA, 11-15-September-2016, pp. 17-30 A. Pattnaik, Xiaorui Tang, A. Jog, O. Kayiran, A.K. Mishra, Mahmut T Kandemir, O. Mutlu and Chitaranjan Das, 2016, "Scheduling Techniques for GPU Architectures with Processing-In-Memory Capabilities", Institute of Electrical and Electronics Engineers Inc., pp. 31-44 W. Choi, J. Zhang, S. Gao, J. Lee, M. Jung and Mahmut T Kandemir, 2016, "An in-depth study of next generation interface for emerging non-volatile memories", Institute of Electrical and Electronics Engineers Inc. O. Kislal, Mahmut T Kandemir and J. Kotra, 2016, "Cache-aware approximate computing for decision tree learning", IEEE Computer Society, pp. 1413-1422 J. B. Kotra, M. Arjomand, D. Guttman, Mahmut T Kandemir and C. R. Das, 2016, "Re-NUCA: A Practical NUCA Architecture for ReRAM Based Last-Level Caches", Institute of Electrical and Electronics Engineers Inc., pp. 576-585 Adwait Jog, Onur Kayiran, Ashutosh Pattnaik, Mahmut T Kandemir, Onur Mutlu, Ravishankar Iyer and Chitaranjan Das, 2016, "Exploiting Core Criticality for Enhanced GPU Performance", ACM, pp. 351-363 Mahmut T Kandemir and O Mutlu, 2016, "Message from ICS 2016 program chairs", Association for Computing Machinery, 01-03 Mohammad Arjomand, Amin Jadidi, Mahmut T Kandemir, Anand Sivasubramaniam and Chitaranjan Das, 2016, "MLC PCM main memory with accelerated read", IEEE Computer Society, pp. 143144 Sanem Arslan, Haluk Rahmi Topcuoglu, Mahmut T Kandemir and Oguz Tosun, 2016, "Protecting Code Regions on Asymmetrically Reliable Caches", Springer, 9637, pp. 375387 Narges Shahidi, Mohammad Arjomand, Anand Sivasubramaniam, Mahmut T Kandemir and Chitaranjan Das, 2016, "Storage consolidation: Not always a panacea, but can we ease the pain?", IEEE Computer Society, pp. 159160 Mahmut T Kandemir, P. V. Rengasamy, Anand Sivasubramaniam and Chitaranjan Das, 2016, "Exploiting Staleness for Approximating Loads on CMPs", Institute of Electrical and Electronics Engineers Inc, pp. 343-354 Gabriel Rodrguez, Jos M. Andin, Mahmut T Kandemir and Juan Tourino, 2016, "Trace-based affine reconstruction of codes", ACM, pp. 139149 Mohammad Arjomand, Mahmut T Kandemir, Anand Sivasubramaniam and Chitaranjan Das, 2016, "Boosting Access Parallelism to PCM-Based Main Memory", ACM, New York, NY, USA, 44, (3), pp. 695-706 J. Zhang, D. Donofrio, J. Shalf, Mahmut T Kandemir and M. Jung, 2015, "NVMMU: A Non-volatile Memory Management Unit for Heterogeneous GPU-SSD Architectures", Institute of Electrical and Electronics Engineers Inc. Adwait Jog, Onur Kayiran, Tuba Kesten, Ashutosh Pattnaik, Evgeny Bolotin, Niladrish Chatterjee, Stephen W. Keckler, Mahmut T Kandemir and Chitaranjan Das, 2015, "Anatomy of GPU Memory System for Multi-Application Execution", pp. 223234 Diman Zad Tootaghaj, Farshid Farhat, Mohammad Arjomand, Paolo Faraboschi, Mahmut T Kandemir, Anand Sivasubramaniam and Chitaranjan Das, 2015, "Evaluating the Combined Impact of Node Architecture and Cloud Workload Characteristics on Network Traffic and Performance/Cost", pp. 203212 Joshua Dennis Booth, Jagadish Kotra, Hui Zhao, Mahmut T Kandemir and Padma Raghavan, 2015, "Phase Detection with Hidden Markov Models for DVFS on Many-Core Processors", pp. 185195 Jun Liu, Jagadish Kotra, Wei Ding and Mahmut T Kandemir, 2015, "Network footprint reduction through data access and computation placement in NoC-based manycores", pp. 181:1181:6 Nandita Vijaykumar, Gennady Pekhimenko, Adwait Jog, Abhishek Bhowmick, Rachata Ausavarungnirun, Chitaranjan Das, Mahmut T Kandemir, Todd C. Mowry and Onur Mutlu, 2015, "A case for core-assisted bottleneck acceleration in GPUs: enabling flexible data compression with assist warps", pp. 4153 Nachiappan Chidambaram Nachiappan, Haibo Zhang, Jihyun Ryoo, Niranjan Soundararajan, Anand Sivasubramaniam, Mahmut T Kandemir, Ravishankar Iyer and Chitaranjan Das, 2015, "VIP: virtualizing IP chains on handheld platforms", pp. 655667 Mahmut T Kandemir, Hui Zhao, Xulong Tang and Mustafa Karaky, 2015, "Memory Row Reuse Distance and its Role in Optimizing Application Performance", pp. 137149 Wei Ding, Xulong Tang, Mahmut T Kandemir, Yuanrui Zhang and Emre Kultursay, 2015, "Optimizing off-chip accesses in multicores", pp. 131142 Sanem Arslan, Haluk Rahmi Topcuoglu, Mahmut T Kandemir and Oguz Tosun, 2015, "Performance and Energy Efficient Asymmetrically Reliable Caches for Multicore Architectures", pp. 10251032 Hui Zhao, Mahmut T Kandemir and Mary Jane Irwin, 2015, "TaPEr: tackling power emergencies in the dark silicon era by exploiting resource scalability", pp. 16:116:8 H Zhao, Mahmut T Kandemir and Mary Jane Irwin, 2015, "TaPEr: Trackling Power Emergencies in the dark silicon era by exploiting resource scalability", pp. 16 Diana Guttman, Mahmut T Kandemir, Meenakshi Arunachalamy and Vlad Calina, 2015, "Performance and energy evaluation of data prefetching on intel Xeon Phi", IEEE Computer Society, pp. 288297 Nachiappan Chidambaram Nachiappan, Praveen Yedlapalli, Niranjan Soundararajan, Anand Sivasubramaniam, Mahmut T Kandemir, Ravishankar Iyer and Chitaranjan Das, 2015, "Domain knowledge based energy management in handhelds", IEEE, pp. 150160 Jithendra Srinivas, Wei Ding and Mahmut T Kandemir, 2015, "Reactive tiling", IEEE/ACM, pp. 91102 Karthik Swaminathan, Jagadish Kotra, Huichu Liu, John Sampson, Mahmut T Kandemir and Vijaykrishnan Narayanan, 2015, "Thermal-Aware Application Scheduling on Device-Heterogeneous Embedded Architectures", IEEE Computer Society, pp. 221226 Wei Ding, Diana Guttman and Mahmut T Kandemir, 2014, "Compiler Support for Optimizing Memory Bank-Level Parallelism", pp. 571582 Onur Kayiran, Nachiappan Chidambaram Nachiappan, Adwait Jog, Rachata Ausavarungnirun, Mahmut T Kandemir, Gabriel H. Loh, Onur Mutlu and Chitaranjan Das, 2014, "Managing GPU Concurrency in Heterogeneous Architectures", pp. 114126 Praveen Yedlapalli, Nachiappan Chidambaram Nachiappan, Niranjan Soundararajan, Anand Sivasubramaniam, Mahmut T Kandemir and Chitaranjan Das, 2014, "Short-Circuiting Memory Traffic in Handheld Platforms", pp. 166177 Yang Ding, Praveen Yedlapalli and Mahmut T Kandemir, 2014, "QoS aware dynamic time-slice tuning", pp. 8485 Umut Orhan, Wei Ding, Praveen Yedlapalli, Mahmut T Kandemir and zcan zturk, 2014, "A cache topology-aware multi-query scheduler for multicore architectures", pp. 8687 Mahmut T Kandemir, Wei Ding and Diana Guttman, 2014, "Quantifying and Optimizing the Impact of Victim Cache Line Selectionin Manycore Systems", IEEE, pp. 385394 Ellis Herbert Wilson, Myoungsoo Jung and Mahmut T Kandemir, 2014, "ZombieNAND: Resurrecting Dead NAND Flash for Improved SSD Longevity", IEEE, pp. 229238 Hsiang-Yun Cheng, Matthew Poremba, Narges Shahidi, Ivan Stalev, Mary Jane Irwin, Mahmut T Kandemir, Jack Sampson and Yuan Xie, 2014, "EECache: exploiting design choices in energy-efficient last-levelcaches for chip multiprocessors", pp. 303306 Wei Ding, Mahmut T Kandemir, Diana Guttman, Adwait Jog, Chitaranjan Das and Praveen Yedlapalli, 2014, "Trading cache hit rate for memory performance", pp. 357368 Ellis Herbert Wilson, Mahmut T Kandemir and Garth Gibson, 2014, "Will They Blend?: Exploring Big Data Computation Atop TraditionalHPC NAS Storage", pp. 524534 Nachiappan Chidambaram Nachiappan, Praveen Yedlapalli, Niranjan Soundararajan, Mahmut T Kandemir, Anand Sivasubramaniam and Chitaranjan Das, 2014, "GemDroid: a framework to evaluate mobile platforms", pp. 355366 Myoungsoo Jung, Wonil Choi, Shekhar Srikantaiah, Joonhyuk Yoo and Mahmut T Kandemir, 2014, "HIOS: A host interface I/O scheduler for Solid State Disks", pp. 289300 Wei Ding and Mahmut T Kandemir, 2014, "CApRI: CAche-conscious data reordering for irregular codes", pp. 477489 Myoungsoo Jung, Wonil Choi, John Shalf and Mahmut T Kandemir, 2014, "Triple-A: a Non-SSD based autonomic all-flash array for high performancestorage systems", pp. 441454 Adwait Jog, Evgeny Bolotin, Zvika Guz, Mike Parker, Stephen W. Keckler, Mahmut T Kandemir and Chitaranjan Das, 2014, "Application-aware Memory System for Fair and Efficient Execution ofConcurrent GPGPU Applications", pp. 1 Myoungsoo Jung and Mahmut T Kandemir, 2014, "Sprinkler: Maximizing resource utilization in many-chip solid statedisks", pp. 524535 , 2014, "2014 IEEE International Symposium on Workload Characterization, IISWC 2014, Raleigh, NC, USA, October 26-28, 2014", IEEE Computer Society , 2014, "20th IEEE International Symposium on High Performance Computer Architecture, HPCA 2014, Orlando, FL, USA, February 15-19, 2014", IEEE Computer Society , 2014, "47th Annual IEEE/ACM International Symposium on Microarchitecture, MICRO 2014, Cambridge, United Kingdom, December 13-17, 2014", IEEE , 2014, "ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems, SIGMETRICS 14, Austin, TX, USA - June 16 - 20, 2014", ACM , 2014, "ACM/IEEE 41st International Symposium on Computer Architecture, ISCA 2014, Minneapolis, MN, USA, June 14-18, 2014", IEEE Computer Society Adwait Jog, Evgeny Bolotin, Zvika Guz, Mike Parker, Stephen W. Keckler, Mahmut T Kandemir and Chitaranjan Das, 2014, "Application-aware Memory System for Fair and Efficient Execution of Concurrent GPGPU Applications", pp. 1 , 2014, "Architectural Support for Programming Languages and Operating Systems, ASPLOS 14, Salt Lake City, UT, USA, March 1-5, 2014", ACM Hsiang-Yun Cheng, Matthew Poremba, Narges Shahidi, Ivan Stalev, Mary Jane Irwin, Mahmut T Kandemir, John Sampson and Yuan Xie, 2014, "EECache: exploiting design choices in energy-efficient last-level caches for chip multiprocessors", pp. 303306 , 2014, "IEEE 22nd International Symposium on Modelling, Analysis & Simulation of Computer and Telecommunication Systems, MASCOTS 2014, Paris, France, September 9-11, 2014", IEEE Computer Society , 2014, "IEEE 34th International Conference on Distributed Computing Systems, ICDCS 2014, Madrid, Spain, June 30 - July 3, 2014", IEEE Computer Society , 2014, "International Conference on Parallel Architectures and Compilation, PACT 14, Edmonton, AB, Canada, August 24-27, 2014", ACM , 2014, "International Symposium on Low Power Electronics and Design, ISLPED14, La Jolla, CA, USA - August 11 - 13, 2014", ACM Mahmut T Kandemir, Wei Ding and Diana Guttman, 2014, "Quantifying and Optimizing the Impact of Victim Cache Line Selection in Manycore Systems", pp. 385394 , 2014, "Seventh Workshop on General Purpose Processing Using GPUs, GPGPU-7, Salt Lake City, UT, USA, March 1, 2014", ACM Myoungsoo Jung and Mahmut T Kandemir, 2014, "Sprinkler: Maximizing resource utilization in many-chip solid state disks", pp. 524535 Myoungsoo Jung, Wonil Choi, John Shalf and Mahmut T Kandemir, 2014, "Triple-A: a Non-SSD based autonomic all-flash array for high performance storage systems", pp. 441454 Ellis Herbert Wilson, Mahmut T Kandemir and Garth Gibson, 2014, "Will They Blend?: Exploring Big Data Computation Atop Traditional HPC NAS Storage", pp. 524534 M. Jung, E. Wilson, W. Choi, J. Shalf, H. Metin Aktulga, C. Yang, E. Saule, . V. atalyrek and Mahmut T Kandemir, 2013, "Exploring the Future of Out-of-core Computing with Compute-local Non-volatile Memory", Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC 2013) P. Yedlapalli, J. Kotra, E. Kultursay, Mahmut T Kandemir, C. R. Das and A. Sivasubramania, 2013, "Meeting Midway: Improving CMP Performance with Memory-side Prefetching", Proceedings of the Twenty-Second International Conference on Parallel Architectures and Compilation Techniques (PACT 2013), pp. 289-298 W. Ding, J. Liu, Mahmut T Kandemir and M. J. Irwin, 2013, "Reshaping Cache Misses to Improve Row-buffer Locality in Multicore Systems", Proceedings of the Twenty-Second International Conference on Parallel Architectures and Compilation Techniques (PACT 2013), pp. 235-244 O. Kayiran, A. Jog, Mahmut T Kandemir and C. R. Das, 2013, "Neither More Nor Less: Optimizing Thread-level Parallelism for GPGPUs", Proceedings of the Twenty-Second International Conference on Parallel Architectures and Compilation Techniques (PACT 2013), pp. 157-166 M. Jung, J. Shalf and Mahmut T Kandemir, 2013, "Design of a Large-scale Storage-class RRAM System", Proceedings of the Twenty-Seventh International Conference on Supercomputing (ICS 2013), pp. 103-114 A. Jog, O. Kayiran, A. Mishra, Mahmut T Kandemir, O. Mutlu, R. Iyer and C. R. Das, 2013, "Orchestrated Scheduling and Prefetching for GPGPUs", Proceedings of the Fortieth International Symposium on Computer Architecture (ISCA 2013), pp. 332-343 M. Jung and Mahmut T Kandemir, 2013, "Revisiting Widely Held SSD Expectations and Rethinking System-level Implications", Proceedings of the ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS 2013), pp. 203-216 R. Prabhakar, Mahmut T Kandemir, P. Raghavan and M. Jung, 2013, "Interference Resolver in Shared Storage Systems to Provide Fairness to I/O Intensive Applications", Proceedings of the 2013 IEEE International Symposium on Parallel and Distributed Processing Workshops and PhD Forum, pp. 1971-1980 R. Prabhakar, Mahmut T Kandemir and M. Jung, 2013, "Disk-Cache and Parallelism Aware I/O Scheduling to Improve Storage System Performance", Proceedings of the Twenty-Seventh IEEE International Parallel and Distributed Processing Symposium (IPDPS 2013), pp. 357-368 E. Kultursay, Mahmut T Kandemir, A. Sivasubramaniam and O. Mutlu, 2013, "Evaluating STT-RAM as an Energy Efficient Main Memory Alternative", Proceedings of the 2013 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS 2013), pp. 256-267 A. Jog, O. Kayiran, C. N. Nachiapan, A. K. Mishra, Mahmut T Kandemir, O. Mutlu, R. Iyer and C. R. Das, 2013, "OWL: Cooperative Thread Array Aware Scheduling Techniques for Improving GPGPU Performance", Proceedings of the Eighteenth International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS 2013), pp. 395-406 W. Ding, Y. Zhang, Mahmut T Kandemir, J. Srinivas and P. Yedlapalli, 2013, "Locality-aware Mapping and Scheduling for Multicores", Proceedings of the 2013 IEEE/ACM International Symposium on Code Generation and Optimization (CGO 2013), pp. 12 J. Liu, W. Ding, O. Jang and Mahmut T Kandemir, 2013, "Data Layout Optimization for GPGPU Architectures", Proceedings of ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP 2013), pp. 283-284 , 2013, "2012 IEEE International Symposium on Performance Analysis of Systems & Software, Austin, TX, USA, 21-23 April, 2013", IEEE Computer Society , 2013, "2013 IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum, Cambridge, MA, USA, May 20-24, 2013", IEEE , 2013, "21st IEEE/IFIP International Conference on VLSI and System-on-Chip, VLSI-SoC 2013, Istanbul, Turkey, October 7-9, 2013", IEEE , 2013, "27th IEEE International Symposium on Parallel and Distributed Processing, IPDPS 2013, Cambridge, MA, USA, May 20-24, 2013", IEEE Computer Society , 2013, "5th USENIX Workshop on Hot Topics in Storage and File Systems, HotStorage13, San Jose, CA, USA, June 27-28, 2013", USENIX Association , 2013, "ACM SIGMETRICS / International Conference on Measurement and Modeling of Computer Systems, SIGMETRICS 13, Pittsburgh, PA, USA, June 17-21, 2013", ACM , 2013, "ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPoPP 13, Shenzhen, China, February 23-27, 2013", ACM , 2013, "Architectural Support for Programming Languages and Operating Systems, ASPLOS 13, Houston, TX, USA - March 16 - 20, 2013", ACM Myoungsoo Jung and Mahmut T Kandemir, 2013, "Challenges in Getting Flash Drives Closer to CPU" , 2013, "International Conference for High Performance Computing, Networking, Storage and Analysis, SC13, Denver, CO, USA - November 17 - 21, 2013", ACM , 2013, "International Conference on Supercomputing, ICS13, Eugene, OR, USA - June 10 - 14, 2013", ACM , 2013, "Proceedings of the 2013 IEEE/ACM International Symposium on Code Generation and Optimization, CGO 2013, Shenzhen, China, February 23-27, 2013", IEEE Computer Society , 2013, "Proceedings of the 22nd International Conference on Parallel Architectures and Compilation Techniques, Edinburgh, United Kingdom, September 7-11, 2013", IEEE Computer Society , 2013, "The 40th Annual International Symposium on Computer Architecture, ISCA13, Tel-Aviv, Israel, June 23-27, 2013", ACM W. Ding, Y. Zhang, Mahmut T Kandemir and S. Son, 2012, "Compiler-Directed File Layout Optimization for Hierarchical Storage Systems", Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC 2012), pp. 11 Mahmut T Kandemir, S. Srikantaiah* and S. W. Son*, 2012, "Improving Shared Cache Behavior of Multithreaded Object-Oriented Applications in Multicores", Proceedings of the International Conference on Computer-Aided Design (ICCAD 2012), pp. 65-72 Mahmut T Kandemir, 2012, "Compiler Directed Application Mapping and Optimization for Emerging Multicores", Proceedings of the SIAM Conference on Parallel Processing for Scientific Computing (PPSC 2012) , 2012, "10th Annual IEEE/ACM International Symposium on Code Generation and Optimization, CGO 12, San Jose, CA, USA - March 31 - April 04, 2012", ACM , 2012, "12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGrid 2012, Ottawa, Canada, May 13-16, 2012", IEEE , 2012, "2012 Design, Automation & Test in Europe Conference & Exhibition, DATE 2012, Dresden, Germany, March 12-16, 2012", IEEE , 2012, "2012 IEEE 32nd International Conference on Distributed Computing Systems, Macau, China, June 18-21, 2012", IEEE Computer Society , 2012, "2012 IEEE Fifth International Conference on Cloud Computing, Honolulu, HI, USA, June 24-29, 2012", IEEE , 2012, "2012 IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2012, San Jose, CA, USA, November 5-8, 2012", ACM , 2012, "2012 SC Companion: High Performance Computing, Networking Storage and Analysis, Salt Lake City, UT, USA, November 10-16, 2012", IEEE Computer Society , 2012, "39th International Symposium on Computer Architecture (ISCA 2012), June 9-13, 2012, Portland, OR, USA", IEEE Computer Society , 2012, "45th Annual IEEE/ACM International Symposium on Microarchitecture, MICRO 2012, Vancouver, BC, Canada, December 1-5, 2012", IEEE Computer Society , 2012, "4th USENIX Workshop on Hot Topics in Storage and File Systems, HotStorage12, Boston, MA, USA, June 13-14, 2012", USENIX Association Jun Liu, Yuanrui Zhang, Ohyoung Jang, Wei Ding and Mahmut T Kandemir, 2012, "A compiler framework for extracting superword level parallelism", pp. 347358 Hui Zhao, Ohyoung Jang, Wei Ding, Yuanrui Zhang, Mahmut T Kandemir and Mary Jane Irwin, 2012, "A hybrid NoC design for cache coherence optimization for chip multiprocessors", pp. 834842 , 2012, "ACM SIGPLAN Conference on Programming Language Design and Implementation, PLDI 12, Beijing, China - June 11 - 16, 2012", ACM Akbar Sharifi, Emre Kultursay, Mahmut T Kandemir and Chitaranjan Das, 2012, "Addressing End-to-End Memory Access Latency in NoC-Based Multicores", pp. 294304 Myoungsoo Jung and Mahmut T Kandemir, 2012, "An Evaluation of Different Page Allocation Strategies on High-Speed SSDs" David Goodell, Seong Jo Kim, Robert Latham, Mahmut T Kandemir and Robert B. Ross, 2012, "An Evolutionary Path to Object Storage Access", pp. 3641 Nachiappan Chidambaram Nachiappan, Asit K. Mishra, Mahmut T Kandemir, Anand Sivasubramaniam, Onur Mutlu and Chitaranjan Das, 2012, "Application-aware prefetch prioritization in on-chip networks", pp. 441442 Akbar Sharifi, Shekhar Srikantaiah, Mahmut T Kandemir and Mary Jane Irwin, 2012, "Courteous cache sharing: being nice to others in capacity management", pp. 678687 Karthik Swaminathan, Emre Kultursay, Vinay Saripalli, Vijaykrishnan Narayanan and Mahmut T Kandemir, 2012, "Design space exploration of workload-specific last-level caches", pp. 243248 , 2012, "IEEE 28th Symposium on Mass Storage Systems and Technologies, MSST 2012, April 16-20, 2012, Asilomar Conference Grounds, Pacific Grove, CA, USA", IEEE Computer Society Wei Ding and Mahmut T Kandemir, 2012, "Improving last level cache locality by integrating loop and data transformations", pp. 6572 Orhan Kislal, Piotr Berman and Mahmut T Kandemir, 2012, "Improving the performance of k-means clustering through computation skipping and data locality optimizations", pp. 273276 , 2012, "International Conference on Parallel Architectures and Compilation Techniques, PACT 12, Minneapolis, MN, USA - September 19 - 23, 2012", ACM , 2012, "International Symposium on Low Power Electronics and Design, ISLPED12, Redondo Beach, CA, USA - July 30 - August 01, 2012", ACM Seong Jo Kim, Seung Woo Son, Wei-keng Liao, Mahmut T Kandemir, Rajeev Thakur and Alok N. Choudhary, 2012, "IOPin: Runtime Profiling of Parallel I/O in HPC Systems", pp. 1823 Betl Demirz, Haluk Rahmi Topcuoglu, Mahmut T Kandemir and Oguz Tosun, 2012, "Locality-Aware Dynamic Mapping for Multithreaded Applications", pp. 185189 , 2012, "Middleware 2012 - ACM/IFIP/USENIX 13th International Middleware Conference, Montreal, QC, Canada, December 3-7, 2012. Proceedings", Springer, 7662 Bikash Sharma, Ramya Prabhakar, Seung-Hwan Lim, Mahmut T Kandemir and Chitaranjan Das, 2012, "MROrchestrator: A Fine-Grained Resource Orchestration Framework for MapReduce Clusters", pp. 18 Myoungsoo Jung, Ellis Herbert Wilson, David Donofrio, John Shalf and Mahmut T Kandemir, 2012, "NANDFlashSim: Intrinsic latency variation aware NAND flash memory system modeling and simulation at microarchitecture level", pp. 112 Wei Ding, Mahmut T Kandemir, Yuanrui Zhang and Emre Kultursay, 2012, "Off-chip access localization for NoC-based multicores", pp. 447448 Mahmut T Kandemir, Taylan Yemliha, Ramya Prabhakar and Myoungsoo Jung, 2012, "On Urgency of I/O Operations", pp. 188195 Jun Liu, Nishkam Ravi, Srimat T. Chakradhar and Mahmut T Kandemir, 2012, "Panacea: towards holistic optimization of MapReduce applications", pp. 3343 Akbar Sharifi, Asit K. Mishra, Shekhar Srikantaiah, Mahmut T Kandemir and Chitaranjan Das, 2012, "PEPON: performance-aware hierarchical power budgeting for NoC based multicores", pp. 6574 Emre Kultursay, Karthik Swaminathan, Vinay Saripalli, Vijaykrishnan Narayanan, Mahmut T Kandemir and Suman Datta, 2012, "Performance enhancement under power constraints using heterogeneous CMOS-TFET multicores", pp. 245254 Isil Oz, Haluk Rahmi Topcuoglu, Mahmut T Kandemir and Oguz Tosun, 2012, "Performance-reliability tradeoff analysis for multithreaded applications", pp. 893898 Myoungsoo Jung, Ellis Herbert Wilson and Mahmut T Kandemir, 2012, "Physically Addressed Queueing (PAQ): Improving parallelism in Solid State Disks", pp. 404415 , 2012, "Proceedings of the 10th International Conference on Hardware/Software Codesign and System Synthesis, CODES+ISSS 2012, part of ESWeek 12 Eighth Embedded Systems Week, Tampere, Finland, October 7-12, 2012", ACM , 2012, "Proceedings of the 20th Euromicro International Conference on Parallel, Distributed and Network-Based Processing, PDP 2012, Munich, Germany, February 15-17, 2012", IEEE , 2012, "Proceedings of the 8th International Conference on Virtual Execution Environments, VEE 2012, London, UK, March 3-4, 2012 (co-located with ASPLOS 2012)", ACM , 2012, "Proceedings of the Computing Frontiers Conference, CF12, Caligari, Italy - May 15 - 17, 2012", ACM Wei Wang, Tanima Dey, Ryan W. Moore, Mahmut Aktasoglu, Bruce R. Childers, Jack W. Davidson, Mary Jane Irwin, Mahmut T Kandemir and Mary Lou Soffa, 2012, "REEact: a customizable virtual execution manager for multicore platforms", pp. 2738 Sai Prashanth Muralidhara, Mahmut T Kandemir and Orhan Kislal, 2012, "Reuse distance based performance modeling and workload mapping", pp. 193202 , 2012, "SC Conference on High Performance Computing Networking, Storage and Analysis, SC 12, Salt Lake City, UT, USA - November 11 - 15, 2012", IEEE/ACM Yuanrui Zhang, Jun Liu and Mahmut T Kandemir, 2012, "Software-Directed Data Access Scheduling for Reducing Disk Energy Consumption", pp. 596605 Myoungsoo Jung, Ramya Prabhakar and Mahmut T Kandemir, 2012, "Taking Garbage Collection Overheads Off the Critical Path in SSDs", pp. 164186 , 2012, "The 49th Annual Design Automation Conference 2012, DAC 12, San Francisco, CA, USA, June 3-7, 2012", ACM Y. Zhang, W. Ding, Mahmut T Kandemir, J. Liu and O. Jang, 2011, "A Data Layout Optimization Framework for NUCA-based Multicores", Proceedings of the Forty-Fourth Annual IEEE/ACM International Symposium on Microarchitecture (MICRO 2011), pp. 489-500 S. P. Muralidhara, L. Subramanian, O. Mutlu, Mahmut T Kandemir and T. Moscibroda, 2011, "Reducing Memory Interference in Multicore Systems via Application-aware Memory Channel Partitioning", Proceedings of the Forty-Fourth Annual IEEE/ACM International Symposium on Microarchitecture (MICRO 2011), pp. 374-385 M. Frasca, R. Prabhakar, P. Raghavan and Mahmut T Kandemir, 2011, "Virtual I/O Caching: Dynamic Storage Cache Management for Concurrent Workloads", Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC 2011), pp. 11 W. Ding, Y. Zhang, J. Liu and Mahmut T Kandemir, 2011, "Optimizing Data Locality using Array Tiling", Proceedings of the IEEE/ACM 2011 International Conference on Computer-Aided Design (ICCAD 2011), pp. 142-149 K. Swaminathan, E. Kultursay, V. Saripalli, N. Vijaykrishnan, Mahmut T Kandemir and S. Datta, 2011, "Improving Energy Efficiency of Multi-Threaded Applications using Heterogeneous CMOS-TFET Mutlicores", Proceedings of the International Symposium on Low Power Electronics and Design (ISLPED 2011), pp. 247-252 R. Prabhakar, S. Vazhkudai, Y. Kim, A. R. Butt, M. Li and Mahmut T Kandemir, 2011, "Provisioning a Multi-Tiered Data Staging Area for Extreme-Scale Machines", Proceedings of the International Conference on Distributed Computing Systems (ICDCS 2011), pp. 1-12 C. Patrick, N. Voshell and Mahmut T Kandemir, 2011, "Minimizing Interference Through Application Mapping in Multi-Level Buffer Caches", Proceedings of the 2011 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS 2011), pp. 44-55 H. Zhao, Mahmut T Kandemir and M. J. Irwin, 2011, "Exploring Performance-Power Tradeoffs in Providing Reliability for NoC-Based MPSoCs", Proceedings of the International Symposium on Quality Electronic Design (ISQED 2011), pp. 495-501 R. Prabhakar, R. S. Srikantaiah, R. Garg and Mahmut T Kandemir, 2011, "QoS Aware Storage Cache Management in Multi-Server Environments", Proceedings of the Sixteenth ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPOPP 2011), pp. 289-290 A. Sharifi and Mahmut T Kandemir, 2011, "Automatic Feedback Control of Shared Hybrid Caches in 3D Chip Multiprocessors", Proceedings of the Nineteenth Euromicro International Conference on Parallel, Distributed and Network-Based Computing (PDP 2011), pp. 393-400 S. Sharifi, S. Srikantaiah, A. Mishra, Mahmut T Kandemir and C. R. Das, 2011, "METE: Meeting End-to-End QoS in Multicores through System-Wide Resource Management", Proceedings of the International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS 2011), pp. 13-24 I. Oz, H. Topcuoglu, O. Tosun and Mahmut T Kandemir, 2011, "Quantifying Thread Vulnerability for Multicore Architectures", Proceedings of the Nineteenth Euromicro International Conference on Parallel, Distributed and Network-Based Computing (PDP 2011), pp. 32-39 H. Zhao, Mahmut T Kandemir, W. Ding and M. J. Irwin, 2011, "Exploring Heterogeneous NoC Design Space", Proceedings of the IEEE/ACM 2011 International Conference on Computer-Aided Design (ICCAD 2011), pp. 787-793 , 2011, "11th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, CCGrid 2011, Newport Beach, CA, USA, May 23-26, 2011", IEEE , 2011, "17th International Conference on High-Performance Computer Architecture (HPCA-17 2011), February 12-16 2011, San Antonio, Texas, USA", IEEE Computer Society , 2011, "2011 IEEE/ACM International Conference on Computer-Aided Design, ICCAD 2011, San Jose, California, USA, November 7-10, 2011", IEEE Computer Society , 2011, "2011 International Conference on Parallel Architectures and Compilation Techniques, PACT 2011, Galveston, TX, USA, October 10-14, 2011", IEEE Computer Society Mahmut T Kandemir, Taylan Yemliha and Emre Kultursay, 2011, "A helper thread based dynamic cache partitioning scheme for multithreaded applications", pp. 954959 Ramya Prabhakar, Shekhar Srikantaiah, Rajat Garg and Mahmut T Kandemir, 2011, "Adaptive QoS Decomposition and Control for Storage Cache Management in Multi-server Environments", pp. 402413 Christina M. Patrick, Nicholas Voshell and Mahmut T Kandemir, 2011, "APP: Minimizing Interference Using Aggressive Pipelined Prefetching in Multi-level Buffer Caches", pp. 254264 Sai Prashanth Muralidhara, Mahmut T Kandemir and Yuanrui Zhang, 2011, "Bandwidth Constrained Coordinated HW/SW Prefetching for Multicores", pp. 310325 Wei Ding, Jithendra Srinivas, Mahmut T Kandemir and Mustafa Karaky, 2011, "Compiler Directed Data Locality Optimization for Multicore Architectures", pp. 171172 Praveen Yedlapalli, Emre Kultursay and Mahmut T Kandemir, 2011, "Cooperative parallelization", pp. 134141 , 2011, "Euro-Par 2011 Parallel Processing - 17th International Conference, Euro-Par 2011, Bordeaux, France, August 29 - September 2, 2011, Proceedings, Part I", Springer, 6852 Hui Zhao, Akbar Sharifi, Shekhar Srikantaiah and Mahmut T Kandemir, 2011, "Feedback control based cache reliability enhancement for emerging multicores", pp. 5662 Mahmut T Kandemir, Shekhar Srikantaiah and Seung Woo Son, 2011, "Improving shared cache behavior of multithreaded object-oriented applicationsin multicores", pp. 118125 Shekhar Srikantaiah, Emre Kultursay, Tao Zhang, Mahmut T Kandemir, Mary Jane Irwin and Yuan Xie, 2011, "MorphCache: A Reconfigurable Adaptive Multi-level Cache hierarchy", pp. 231242 Mahmut T Kandemir, Ramya Prabhakar, Mustafa Karaky and Yuanrui Zhang, 2011, "Multilayer Cache Partitioning for Multiprogram Workloads", pp. 130141 Mahmut T Kandemir, Yuanrui Zhang, Jun Liu and Taylan Yemliha, 2011, "Neighborhood-aware data locality optimization for NoC-based multicores", pp. 191200 Jun Liu, Yuanrui Zhang, Wei Ding and Mahmut T Kandemir, 2011, "On-chip cache hierarchy-aware tile scheduling for multicore machines", pp. 161170 Yuanrui Zhang, Wei Ding, Jun Liu and Mahmut T Kandemir, 2011, "Optimizing Data Layouts for Parallel Computation on Multicores", pp. 143154 , 2011, "Proceedings of the 20th ACM International Symposium on High Performance Distributed Computing, HPDC 2011, San Jose, CA, USA, June 8-11, 2011", ACM , 2011, "Proceedings of the 48th Design Automation Conference, DAC 2011, San Diego, California, USA, June 5-10, 2011", ACM , 2011, "Proceedings of the CGO 2011, The 9th International Symposium on Code Generation and Optimization, Chamonix, France, April 2-6, 2011", IEEE Computer Society Akbar Sharifi and Mahmut T Kandemir, 2011, "Process variation-aware routing in NoC based multicores", pp. 924929 Yuanrui Zhang, Jun Liu, Ellis Herbert Wilson and Mahmut T Kandemir, 2011, "Software-directed data access scheduling for reducing disk energy consumption", pp. 281282 , 2011, "Transactions on High-Performance Embedded Architectures and Compilers IV", Springer, 6760 Y. Zhang, Mahmut T Kandemir and T. Yemliha, 2011, "Studying Inter-Core Data Reuse in Multicores", Proceedings of the International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS 2011), pp. 25-36 S. Srikantaiah and Mahmut T Kandemir, 2010, "Synergistic TLBs for High Performance Address Translation in Chip Multiprocessors", Proceedings of the Forty-Third Annual IEEE/ACM International Symposium on Microarchitecture (MICRO-43), pp. 313-324 A. Mishra, S. Srikantaiah, Mahmut T Kandemir and C. R. Das, 2010, "CPM in CMPs: Coordinated Power Management in Chip-Multiprocessors", Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis (SC 2010), pp. 12 S. Kim, Y. Zhang, S. W. Son, Mahmut T Kandemir, R. Prabhakar, C. Patrick, W.-K. Liao and A. Choudhary, 2010, "Automated Tracing of I/O Stack", Springer-Verlag LNCS, 6305, pp. 72-81 Mahmut T Kandemir, S. Muralidhara, M. Karakoy, S. W. Son and A. Choudhary, 2010, "Computation Mapping for Multi-Level Storage Cache Hierarchies", Proceedings of the ACM International Symposium on High Performance Distributed Computing (HPDC 2010), pp. 179-190 C. Patrick, Mahmut T Kandemir, M. Karakoy, S. W. Son and A. Choudhary, 2010, "Cashing in on Hints for Better Prefetching and Caching in PVFS and MPI-IO", Proceedings of the ACM International Symposium on High Performance Distributed Computing (HPDC 2010), pp. 191-202 A. Mishra, S. Srikantiah, Mahmut T Kandemir and C. R. Das, 2010, "Coordinated Power Management of Voltage Islands in CMPs", Proceedings of the International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS 2010), pp. 359-360 Mahmut T Kandemir, T. Yemhila, S. Muralidhara, S. Srikantaiah, M. J. Irwin and Y. Zhang, 2010, "Cache Topology Aware Computation Mapping for Multicores", Proceedings of the ACM SIGPLAN 2010 Conference on Programming Language Design and Implementation (PLDI 2010), pp. 74-85 R. Prabhakar, S. Srikantaiah, Mahmut T Kandemir and C. Patrick, 2010, "Adaptive Multi-level Cache Allocation in Distributed Storage Architectures", Proceedings of the Twenty-Fourth International Conference on Supercomputing (ICS 2010), pp. 211-221 S. P. Muralidhara, Mahmut T Kandemir and P. Raghavan, 2010, "Intra-Application Cache Partitioning", Proceedings of the Twenty-Fourth IEEE/ACM International Parallel and Distributed Symposium (IPDPS 2010), pp. 12 K. Malkowski, P. Raghavan and Mahmut T Kandemir, 2010, "Analyzing the Soft-Error Resilience of Linear Solvers on Multicore Multiprocessors", Proceedings of the Twenty-Fourth IEEE/ACM International Parallel and Distributed Symposium (IPDPS 2010), pp. 12 K. Malkowski, P. Raghavan, Mahmut T Kandemir and M. J. Irwin, 2010, "T-NUCA - A Novel Approach to Non-Uniform Access Latency Cache Architectures for 3D CMPs", Proceedings of the Sixth Workshop on High-Performance, Power-Aware Computing (HPPAC 2010), in conjunction with IPDPS 2010, pp. 8 Mahmut T Kandemir, O. Ozturk, S. Narayanan and M. J. Irwin, 2010, "Compiler Directed Network-on-Chip Reliability Enhancement for Chip Multiprossors", Proceedings of the ACM SIGPLAN/SIGBED Conference on Languages, Compilers and Tools for Embedded Systems (LCTES 2010), pp. 85-94 Y. Ding, Mahmut T Kandemir, M. J. Irwin and P. Raghavan, 2010, "Dynamic Core Partitioning for Energy Efficiency", Proceedings of the Workshop on High-Performance, Power-Aware Computing (HPPAC 2010), in conjunction with IPDPS 2010, pp. 8 A. Shariti, H. Zhao and Mahmut T Kandemir, 2010, "Feedback Control for Providing QoS in NoC Based Multicores", Proceedings of the Design, Automation, and Test in Europe (DATE 2010), pp. 1384-1389 Y. Zhang, L. Deng, P. Yedlapalli, S. Muralidhara, H. Zhao, Mahmut T Kandemir, C. Chakrabarti, N. Pitsianis and X. Sun, 2010, "A Special-Purpose Compiler for Look-Up Table and Code Generation for Function Evaluation", Proceedings of the Design, Automation, and Test in Europe (DATE 2010), pp. 1130-1135 S. Srikantaiah and Mahmut T Kandemir, 2010, "SRP: Symbiotic Resource Partitioning of the Memory Hierarchy in CMPs", Proceedings of the International Conference on High-Performance Embedded Architectures and Compilers (HiPEAC 2010), pp. 277-291 S. Muralidhara, Mahmut T Kandemir and P. Raghavan, 2010, "Intra Application Shared Cache Partitioning for Parallel Applications", Proceedings of the Fifteenth ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP 2010), pp. 329-330 T. Yemliha, Mahmut T Kandemir, O. Ozturk, E. Kultursay and S. Muralidhara, 2010, "Code Scheduling for Optimizing Parallelism and Data Locality", Springer-Verlag LNCS, 6272, pp. 204-216 Y. Zhang, J. Liu, E. Kultursay, Mahmut T Kandemir, N. Pitsianis and X. Sun, 2010, "Scalable Parallelization Strategies to Accelerate NuFFT Data Translation on Multicores", Springer-Verlag LNCS, 6272, pp. 125-136 Mahmut T Kandemir, S. Muralidhara, S. H. K. Narayanan, Y. Zhang and O. Ozturk, 2009, "Optimizing Shared Cache Behavior of Chip Multiprocessor", Proceedings of the Forty-Second International Symposium on Microarchitecture (MICRO-42), pp. 505-516 S. Srikantaiah, Mahmut T Kandemir and Q. Wang, 2009, "SHARP Control: Controlled Shared Cache Management in Chip Multiprocessors", Proceedings of the Forty-Second International Symposium on Microarchitecture (MICRO-42), pp. 517-528 R. Prabhakar, S. Srikantaiah, C. Patrick and Mahmut T Kandemir, 2009, "Dynamic Storage Cache Allocation in Multi-server Architectures", Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC'09) S. Srikantaiah, R. Das, A. Mishra, Mahmut T Kandemir and C. R. Das, 2009, "A Case for Integrated Processor-Cache Partitioning in Chip Multiprocessors", Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC'09) Mahmut T Kandemir, Y. Zhang, S. Muralidhara, O. Ozturk and S. H. K. Narayanan, 2009, "Slicing Based Code Parallelization for Minimizing Inter-processor Communication", Proceedings of the 2009 International Conference on Compilers, Architecture, and Synthesis for Embedded Systems (CASES 2009), pp. 87-96 Y. Zhang, Mahmut T Kandemir, N. P. Pitsianis and X. Sun, 2009, "Exploring Parallelization Strategies for NUFFT Data Translation", Proceedings of the Seventh ACM International Conference on Embedded Software (EMSOFT 2009), pp. 187-196 S. Akioka, F. Li, K. Malkowski, P. Raghavan, Mahmut T Kandemir and M. J. Iriwn, 2009, "Ring Data Location Prediction Scheme for Non-Uniform Cache Architectures", Proceedings of the IEEE International Conference on Computer Design (ICCD 2009), pp. 693-698 Y. Zhang and Mahmut T Kandemir, 2009, "Automated Parallelization of Non-uniform Convolutions on Chip Multiprocessor", Proceedings of the Thirteenth Annual High Performance Embedded Computing Workshop (HPEC 2009), pp. 4 S. W. Son, Mahmut T Kandemir, Y. Zhang and R. Garg, 2009, "Topology-aware I/O Caching for Shared Storage Systems", Proceedings of the ISCA Twenty-Second International Conference on Parallel and Distributed Computing and Communication Systems (PDCCS 2009), pp. 143-150 R. Garg, C. Patrick and Mahmut T Kandemir, 2009, "Dynamic Storage Cache Partitioning Using Feedback Control Theory", Proceedings of the ISCA Twenty-Second International Conference on Parallel and Distributed Computing and Communication Systems (PDCCS 2009), pp. 157-164 R. Garg, R. Prabhakar and Mahmut T Kandemir, 2009, "Power Aware Disk Allocation", Proceedings of the ISCA Twenty-Second International Conference on Parallel and Distributed Computing and Communication Systems (PDCCS 2009), pp. 205-212 R. Prins and Mahmut T Kandemir, 2009, "Communication Strategies in Multi-AUV Cooperative MCM Reconnaissance", Proceedings of AUVSI's Unmanned Systems in North America 2009 Mahmut T Kandemir, S. Srikantaiah, G. Giger and J. Dzielski, 2009, "Automated Mission Code Translation Across Different UMV Types", Proceedings of AUVSI's Unmanned Systems in North America 2009, pp. 10 R. Prins and Mahmut T Kandemir, 2009, "Cooperative MCM for Heterogeneous Vehicles Optimized Under Constrained Time", Proceedings of the International Symposium on Unmanned Untethered Submersible Technology (UUST) M. Shantharam, P. Raghavan and Mahmut T Kandemir, 2009, "Hybrid Techniques for Fast Multicore Simulation", Springer-Verlag LNCS, 5704, pp. 122-134 Y. Zhang and Mahmut T Kandemir, 2009, "A Hardware-Software Codesign Strategy for Loop Intensive Applications", Proceedings of the Seventh IEEE Symposium on Application Specific Processors (SASP 2009), in conjunction with DAC 2009, pp. 107-113 R. Garg, S. W. Son, Mahmut T Kandemir, P. Raghavan and R. Prabhakar, 2009, "Markov Model Based Prediction for Disk Power Management in Data Intensive Workloads", Proceedings of the Ninth IEEE International Symposium on Cluster Computing and the Grid (CCGRID 2009), pp. 76-83 R. Prabhakar, C. Patrick and Mahmut T Kandemir, 2009, "MPISec I/O: Providing Data Confidentiality in MPI-I/O", Proceedings of the Ninth IEEE International Symposium on Cluster Computing and the Grid (CCGRID 2009), pp. 388-395 S. Hong, S. H. K. Narayanan and Mahmut T Kandemir, 2009, "Process Variation Aware Thread Mapping for Chip Multiprocessors", Proceedings of the Design Automation & Test in Europe (DATE 2009), pp. 821-826 Mahmut T Kandemir, Y. Zhang and O. Ozturk, 2009, "Adaptive Prefetching for Shared Cache Based Chip Multiprocessors", Proceedings of the Design Automation & Test in Europe (DATE 2009), pp. 773-778 O. Ozturk and Mahmut T Kandemir, 2009, "Using Dynamic Compilation for Continuing Execution Under Reduced Memory Availability", Proceedings of the Design Automation & Test in Europe (DATE 2009), pp. 1373-1378 S. W. Son, Mahmut T Kandemir, M. Karakoy and D. Chakrabarti, 2009, "A Compiler-directed Data Prefetching Scheme for Chip Multiprocessors", Proceedings of the Fourteenth ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP 2009), pp. 209-218 S. Muralidhara and Mahmut T Kandemir, 2009, "Communication Based Proactive Link Power Management", Springer-Verlag LNCS, 5409, pp. 198-215 Y. Ding, Mahmut T Kandemir, M. J. Irwin and P. Raghavan, 2009, "Adapting Application Mapping to Systematic Within-Die Process Variations on Chip Multiprocessors", Springer-Verlag LNCS, 5409, pp. 231-247 A. Yanamandra, M. J. Irwin, N. Vijaykrishnan, Mahmut T Kandemir and S. H. K. Narayanan, 2009, "In-Network Caching for Chip Multiprocessors", Springer-Verlag LNCS, 5409, pp. 373-388 C. Patrick, R. Garg, S. W. Son and Mahmut T Kandemir, 2009, "Improving I/O Performance Using Soft-QoS Based Dynamic Storage Cache Partitioning", Proceedings of the 2009 IEEE International Conference on Cluster Computing (Cluster 2009), pp. 10 O. Ozturk, S. W. Son, Mahmut T Kandemir and M. Karakoy, 2008, "Prefetch Throttling and Data Pinning for Improving Performance of Shared Caches", Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC'08), pp. 12 Mahmut T Kandemir, F. Li, M. J. Iriwn and S. W. Son, 2008, "A Novel Migration-based NUCA Design for Chip Multiprocessors", Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC'08), pp. 12 T. Yemliha, S. Srikantaiah, Mahmut T Kandemir, M. Karakoy and M. J. Irwin, 2008, "Integrated Code and Data Placement in Two-Dimensional Mesh Based Chip Multiprocessors", Proceedings of the ACM/IEEE 2008 International Conference on Computer-Aided Design (ICCAD 2008), pp. 583-588 T. Yemliha, S. Srikantaiah, Mahmut T Kandemir and O. Ozturk, 2008, "SPM Management Using Markov Chain Based Data Access Prediction", Proceedings of the ACM/IEEE 2008 International Conference on Computer-Aided Design (ICCAD 2008), pp. 565-569 S. W. Son, P. Muralidhara, O. Ozturk, Mahmut T Kandemir, I. Kolcu and M. Karakoy, 2008, "Profiler and Compiler Assisted Adaptive I/O Prefetching for Shared Storage Caches", Proceedings of the Seventeenth International Conference on Parallel Architectures and Compilation Techniques (PACT'08), pp. 112-121 S. H. K. Narayanan and Mahmut T Kandemir, 2008, "A Systematic Approach to Automatically Generate Multiple Semantically Equivalent Program Versions", Proceedings of the Thirteenth International Conference on Reliable Software Technologies (ADA-Europe 2008), pp. 185-198 G. Chen, F. Li, S. W. Son and Mahmut T Kandemir, 2008, "Application Mapping for Chip Multiprocessors", Proceedings of the Forty-Fifth ACM/IEEE Design Automation Conference (DAC 2008), pp. 620-625 F. Li, Mahmut T Kandemir and M. J. Irwin, 2008, "Implementation and Evaluation of a Migration-based NUCA Design for Chip Multiprocessors", Proceedings of the International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS 2008), pp. 449-450 S. W. Son, Mahmut T Kandemir and M. Karakoy, 2008, "Improving I/O Performance through Compiler-Directed Code Restructuring and Adaptive Prefetching", Proceedings of the Next Generation Software (NGS) Workshop, in conjunctions with IPDPS 2008, pp. 5 P. Raghavan, Mahmut T Kandemir, M. J. Irwin and K. Malkowski, 2008, "Managing Power, Performance and Reliability Trade-offs", Proceedings of the Next Generation Software (NGS) Workshop, in conjunctions with IPDPS 2008, pp. 5 Y. Ding, K. Malkowski, P. Raghavan and Mahmut T Kandemir, 2008, "Towards Energy Efficient Scaling of Scientific Codes", Proceedings of the Fourth Workshop on High-Performance, Power-Aware Computing (HPPAC) Workshop, in conjunction with IPDPS 2008, pp. 8 Y. Ding, Mahmut T Kandemir, P. Raghavan and M. J. Irwin, 2008, "A Helper Thread Based EDP Reduction Scheme for Adapting Application Execution in CMPs", Proceedings of the Twenty-Second IEEE International Parallel and Distributed Processing Symposium (IPDPS 2008) A. Yanamandra, B. Cover, P. Raghavan, M. J. Irwin and Mahmut T Kandemir, 2008, "Evaluating the Role of Scratchpad Memories in Chip Multiprocessors for Sparse Matrix Computations", Proceedings of the Twenty-Second IEEE International Parallel and Distributed Processing Symposium (IPDPS 2008), pp. 10 S. Srikantaiah, Mahmut T Kandemir and M. J. Irwin, 2008, "Adaptive Set-Pinning: Managing Shared Caches in Chip Multiprocessors", Proceedings of the Thirteenth International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS 2008), pp. 135-144 O. Ozturk, Mahmut T Kandemir and S. H. K. Narayanan, 2008, "A Scratch-Pad memory Aware Dynamic Loop Scheduling Algorithm", Proceedings of the Ninth International Symposium on Quality Electronic Design (ISQED 2008), pp. 738-743 Mahmut T Kandemir and S. W. Son, 2008, "Improving I/O Performance of Applications through Compiler-Directed Code Restructuring", Proceedings of the Sixth USENIX Conference on File and Storage Technologies (FAST'08), pp. 159-174 C. Patrick, S. W. Son and Mahmut T Kandemir, 2008, "Enhancing the Performance of MPI-IO Applications by Overlapping I/O, Computation and Communication", Proceedings of the Thirteenth ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP 2008), pp. 277-278 C. Patrick, S. W. Son and Mahmut T Kandemir, 2008, "Comparative Evaluation of Overlap Strategies with Study of I/O Overlap in MPI-IO", Proceedings of the First International Workshop on Storage and I/O Virtualization, Performance, Energy, Evaluation and Dependability (SPEED 2008), in conjunction with HPCA 2008, pp. 1-6 S. W. Son and Mahmut T Kandemir, 2007, "Improving Disk Reuse for Reducing Power Consumption", Proceedings of the International Symposium on Low Power Electronics and Design (ISLPED 2007), pp. 129-134 J. Kim, P. Mangalagiri, K. Irick, Mahmut T Kandemir, N. Vijaykrishnan, K. Sobti, L. Deng, C. Chakrabarti, N. Pitsianis and X. Sun, 2007, "TANOR: A Tool for Accelerating N-Body Simulations on Reconfigurable Platform", Proceedings of the Seventeenth International Conference on Field Programmable Logic and Applications (FPL 2007), pp. 6 G. Giger, Mahmut T Kandemir, S. D. Lovell and J. Dzielski, 2007, "Automated Mission Parallelization for a Group of UUV's", Proceedings of the International Symposium on Unmanned Untethered Submersible Technology (UUST), pp. 13 F. Li, G. Chen, Mahmut T Kandemir and I. Kolcu, 2007, "Profile-Driven Energy Reduction in Network-on-Chips", Proceedings of the ACM SIGPLAN 2007 Conference on Programming Language Design and Implementation (PLDI 2007), pp. 394-404 I. Kadayif and Mahmut T Kandemir, 2007, "Modeling and Improving Data Cache Reliability", Proceedings of the International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS), pp. 1-12 L. Xue, O. Ozturk and Mahmut T Kandemir, 2007, "A Memory-Conscious Code Parallelization Scheme", Proceedings of the Forty-Fourth Design Automation Conference (DAC 2007), pp. 230-233 H. Koc, Mahmut T Kandemir, E. Ercanli and O. Ozturk, 2007, "Reducing Off-Chip Memory Access Costs Using Data Recomputation in Embedded Chip Multi-processors", Proceedings of the Forty-Fourth Design Automation Conference (DAC 2007), pp. 224-229 S. W. Son and Mahmut T Kandemir, 2007, "Integrated Data Reorganization and Disk Mapping for Reducing Disk Energy Consumption", Proceedings of the Seventh IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2007), pp. 557-564 Mahmut T Kandemir, T. Yemliha, S. W. Son and O. Ozturk, 2007, "Memory Bank Aware Dynamic Loop Scheduling", Proceedings of the Design, Automation and Test in Europe (DATE'07), pp. 1671-1676 S. H. K. Narayanan, Mahmut T Kandemir and R. Brooks, 2007, "Performance-aware Secure Code Partitioning", Proceedings of the Design, Automation and Test in Europe (DATE'07), pp. 1122-1127 O. Ozturk, G. Chen and Mahmut T Kandemir, 2007, "Compiler-directed Variable Latency Aware SPM Management to Cope with Timing Problems", Proceedings of the IEEE/ACM International Symposium on Code Generation and Optimization (CGO'07), pp. 232-243 H. Koc, E. Ercanli, Mahmut T Kandemir and O. Ozturk, 2007, "An ILP Formation for Recomputation Based SPM Management for Embedded CMPs", Proceedings of the Fifth Workshop on Optimizations for DSP and Embedded Systems (ODES 2007), in conjunction with CGO'07, pp. 21-28 W.-K. Liao, A. Ching, K. Coloma, A. Choudhary and Mahmut T Kandemir, 2007, "Improving MPI Independent Write Performance Using a Two-Stage Write-Behind Buffering Method", Proceedings of The Next Generation Software (NGS) Workshop, in conjunction with IPDPS 2007, pp. 1-6 Y. Ding, Mahmut T Kandemir, P. Raghavan and M. J. Irwin, 2007, "Adapting Application Execution to Reduced CPU Availability", Proceedings of the Eleventh Annual Workshop on the Interaction Between Compilers and Computer Architecture (Interact-11), pp. 24-31 L. Xue, Mahmut T Kandemir, G. Chen, F. Li, O. Ozturk, R. Ramanarayanan and B. Vaidyanathan, 2007, "Locality-aware Distributed Loop Scheduling for Chip Multiprocessors", Proceedings of the Twentieth International Conference on VLSI Design (VLSI'07), pp. 251-258 Mahmut T Kandemir, O. Ozturk and V. S. Degalahal, 2007, "Enhancing Locality in Two-dimensional Space through Integrated Computation and Data Mappings", Proceedings of the Twentieth International Conference on VLSI Design (VLSI'07), pp. 227-232 T. Yemliha, G. Chen, O. Ozturk, Mahmut T Kandemir and V. S. Degalahal, 2007, "Compiler-directed Code Restructuring for Operating with Compressed Arrays", Proceedings of the Twentieth International Conference on VLSI Design (VLSI'07), pp. 221-226 F. Li, G. Chen, Mahmut T Kandemir, O. Ozturk, M. Karakoy, R. Ramanarayanan and B. Vaidyanathan, 2007, "A Process Scheduler-based Approach to NoC Power Management", Proceedings of the Twentieth International Conference on VLSI Design (VLSI'07), pp. 77-82 G. Chen, F. Li, O. Ozturk, G. Chen, Mahmut T Kandemir and I. Kolcu, 2006, "Leakage-aware SPM Management", Proceedings of the IEEE Computer Society Annual Symposium on VLSI (ISVLSI 2006), pp. 393-398 F. Li and Mahmut T Kandemir, 2006, "Exploiting Software Pipelining for Network-on-chip Architectures", Proceedings of the IEEE Computer Society Annual Symposium on VLSI (ISVLSI 2006), pp. 295-302 O. Ozturk, G. Chen, Mahmut T Kandemir and M. Karakoy, 2006, "An Integer Linear Programming Based Approach to Simultaneous Memory Space Partitioning and Data Allocation for Chip Multiprocessors", Proceedings of the IEEE Computer Society Annual Symposium on VLSI (ISVLSI 2006), pp. 50-58 G. Chen, O. Ozturk, Mahmut T Kandemir and M. Karakoy, 2006, "Dynamic Scratch-pad Memory Management for Irregular Array Access Patterns", Proceedings of the Design Automation and Test in Europe Conference (DATE 2006), pp. 931-936 L. Xue, O. Ozturk, F. Li, Mahmut T Kandemir and I. Kolcu, 2006, "Dynamic Partitioning of Processing and Memory Resources in Embedded MPSoC Architectures", Proceedings of the Design Automation and Test in Europe Conference (DATE 2006), pp. 690-695 Mahmut T Kandemir, G. Chen, F. Li, M. J. Irwin and I. Kolcu, 2006, "Activity Clustering for Leakage Management in SPMs", Proceedings of the Design Automation and Test in Europe Conference (DATE 2006), pp. 696-697 A. Gayasen, N. Vijaykrishnan, Mahmut T Kandemir and A. Rahman, 2006, "Switch Box Architectures for Three-Dimensional FPGAs", Proceedinsg of the IEEE Symposium on Field-Programmable Custom Computing Machines (FCCM), pp. 335-336 O. Ozturk, G. Chen, Mahmut T Kandemir and M. Karakoy, 2006, "Cache Miss Clustering for Banked Memory Systems", Proceedings of the IEEE/ACM 2006 International Conference on Computer-Aided Design (ICCAD 2006), pp. 244-250 H. Koc, O. Ozturk, Mahmut T Kandemir, S. H. K. Narayanan and E. Ercanli, 2006, "Minimizing Energy Consumption of Banked Memories Using Data Recomputation", Proceedings of the International Symposium on Low Power Electronics and Design (ISLPED 2006), pp. 358-362 Mahmut T Kandemir and S.-W. Son, 2006, "Reducing Power Through Compiler-directed Barrier Synchronization Elimination", Proceedings of the International Symposium on Low Power Electronics and Design (ISLPED 2006), pp. 354-357 G. Chen, Mahmut T Kandemir and M. Karakoy, 2006, "Compiler Support for Voltage Islands", Proceedings of the IEEE International System on Chip Conference (SOCC 2006), pp. 189-192 G. Chen, L. Xue, J. Kim, K. Sobti, L. Deng, X. Sun, N. Pitsianis, C. Chakrabarti, Mahmut T Kandemir and N. Vijaykrishnan, 2006, "Using Geometric Tiling for Reducing Power Consumption in Structured Matrix Operations", Proceedings of the IEEE International System on Chip Conference (SOCC 2006), pp. 113-114 G. Chen, O. Ozturk, G. Chen and Mahmut T Kandemir, 2006, "Energy-Aware Code Replication for Improving Reliability in Embedded Chip Multiprocessors", Proceedings of the IEEE International System on Chip Conference (SOCC 2006), pp. 77-78 G. Giger, L. Xue, S. Tangirala and Mahmut T Kandemir, 2006, "High Level Programming Support for Unmanned Underwater Vehicles", Proceedings of AUVSI's Unmanned Systems in North America 2006, pp. 10 O. Ozturk, G. Chen and Mahmut T Kandemir, 2006, "A Constraint Network Based Solution to Code Parallelization", Proceedings of the Forty-Third Design Automation Conference (DAC'06), pp. 863-869 L. Xue, Mahmut T Kandemir, G. Chen and T. Yemliha, 2006, "SPM-conscious Loop Scheduling for Embedded Chip Multiprocessors", Proceedings of the Twelfth International Conference on Parallel and Distributed Systems (ICPADS'06), pp. 391-400 O. Ozturk, Mahmut T Kandemir, M. J. Irwin and S. Tosun, 2006, "Multi-level On-chip Memory Hierarchy Design for Embedded Chip Multiprocessors", Proceedings of the Twelfth International Conference on Parallel and Distributed Systems (ICPADS'06), pp. 383-390 S. Tosun, Mahmut T Kandemir and H. Koc, 2006, "Using Task Recomputation During Application Mapping in Parallel Embedded Architectures", Proceedings of the 2006 International Conference on Computer Design (CDES'06), pp. 29-35 M. Mutyam, F. Li, N. Vijaykrishnan, Mahmut T Kandemir and M. J. Irwin, 2006, "Compiler-Directed Thermal Management for VLIW Functional Units", Proceedings of the ACM SIGPLAN/SIGBED Conference on Languages, Compilers, and Tools for Embedded Systems (LCTES 2006), pp. 163-172 O. Ozturk, Mahmut T Kandemir and I. Kolcu, 2006, "Shared Scratch-pad Memory Space Management", Proceedings of the Seventh International Symposium on Quality Electronic Design (ISQED 2006), pp. 576-584 O. Ozturk and Mahmut T Kandemir, 2006, "Data Replication in Banked DRAMs for Reducing Eenergy Consumption", Proceedings of the Seventh International Symposium on Quality Electronic Design (ISQED 2006), pp. 551-556 I. Kadayif, Mahmut T Kandemir and F. Li, 2006, "Prefetching-aware Cache Line Turnoff for Saving Leakage Energy", Proceedings of the Eleventh Asia and South Pacific Design Automation Conference (ASP-DAC 2006), pp. 182-187 O. Ozturk, F. Wang, Mahmut T Kandemir and Y. Xie, 2006, "Optimal Topology Exploration for Application-specific 3D Architectures", Proceedings of the Eleventh Asia and South Pacific Design Automation Conference (ASP-DAC 2006), pp. 390-395 Mahmut T Kandemir, G. Chen and F. Li, 2006, "Maximizing Data Reuse for Minimizing Memory Space Requirements and Execution Cycles", Proceedings of the Eleventh Asia and South Pacific Design Automation Conference (ASP-DAC 2006), pp. 808-813 O. Ozturk, G. Chen, Mahmut T Kandemir and I. Kolcu, 2006, "Compiler-Guided Data Compression for Reducing Memory Consumption of Embedded Applications", Proceedings of the Eleventh Asia and South Pacific Design Automation Conference (ASP-DAC 2006), pp. 814-819 P. Unnikrishnan, Mahmut T Kandemir and F. Li, 2006, "Reducing Dynamic Compilation Overhead by Overlapping Compilation and Execution", Proceedings of the Eleventh Asia and South Pacific Design Automation Conference (ASP-DAC 2006), pp. 929-934 S. W. Son and Mahmut T Kandemir, 2006, "Energy-aware Data Prefetching for Multi-speed Disks", Proceedings of the ACM International Conference on Computing Frontiers, pp. 105-114 S. W. Son, G. Chen and Mahmut T Kandemir, 2006, "A Compiler-guided Approach for Reducing Disk Power Consumption by Exploiting Disk Access Locality", Proceedings of the Fourth Annual Symposium on Code Generation and Optimization (GCO'06), pp. 256-268 O. Ozturk, Mahmut T Kandemir and M. Karakoy, 2006, "Selective Code/data Migration for Reducing Communication Energy in Embedded MpSoC Architectures", ACM Great Lakes Symposium on VLSI (GLSVLSI 2006), pp. 386-391 O. Ozturk, Mahmut T Kandemir and S. Tosun, 2006, "An ILP Based Approach to Address Code Generation for Digital Signal Processors", ACM Great Lakes Symposium on VLSI (GLSVLSI 2006), pp. 37-42 O. Ozturk, G. Chen and Mahmut T Kandemir, 2006, "Multi-compilation: Capturing Interactions Among Concurrently-executing Applications", Proceedings of the ACM International Conference on Computing Frontiers, pp. 157-170 S. Narayanan, Mahmut T Kandemir and O. Ozturk, 2006, "Compiler-Directed Power Density Reduction in NoC-Based Multi-Core Designs", Proceedings of the Seventh International Symposium on Quality Electronic Design (ISQED 2006), pp. 570-575 S. Narayanan, Mahmut T Kandemir, R. Brooks and I. Kolcu, 2006, "Secure Execution of Computations on Untrusted Hosts", Proceedings of the Eleventh International Conference on Reliable Software Technologies (Ada-Europe 2006), pp. 106-118 G. Chen, F. Li, Mahmut T Kandemir and M. J. Irwin, 2006, "Reducing NoC Energy Consumption Through Compiler-Directed Channel Voltage Scaling", Proceedings ACM SIGPLAN 2006 Conference on Programming Language Design and Implementation (PLDI'06), pp. 193-203 F. Li, C. Nicopoulos, T. Richardson, Y. Xie, N. Vijaykrishnan and Mahmut T Kandemir, 2006, "Design and Management of 3D Chip Multiprocessors using Network-in-memory", Proceedings of the Thirty-Third Annual International Symposium on Computer Architecture (ISCA'06), pp. 130-141 G. Chen, Mahmut T Kandemir and I. Kolcu, 2006, "Memory-conscious Reliable Execution on Embedded Chip Multiprocessors", Proceedings of the International Conference on Dependable Systems and Networks (DSN-2006), pp. 13-22 S. W. Son, K. Malkowski, G. Chen, Mahmut T Kandemir and P. Raghavan, 2006, "Integrated Link/CPU Voltage Scaling for Reducing Energy Consumption of Parallel Sparse Matrix Applications", Proceedings of the Second Workshop on High-Performance, Power-Aware Computing (HP-PAC 2006), pp. 1-8 O. Ozturk, Mahmut T Kandemir, S. W. Son and I. Kolcu, 2006, "Managing SPM Space Based on Inter-application Data Sharing", Proceedings of the Fourth Workshop on Optimizations for DSP and Embedded Systems (ODES-4), in conjunction with CGO'06, pp. 21-30 S. W. Son, G. Chen, Mahmut T Kandemir and F. Li, 2006, "Energy Savings through Embedded Processing on Disk System", Proceedings of the Eleventh Asia and South Pacific Design Automation Conference (ASP-DAC 2006), pp. 128-133 C. Liu, A. Sivasubramaniam, Mahmut T Kandemir and M. J. Irwin, 2006, "Enhancing L2 Organization for CMPs with a Center Cell", Proceedings of the Twentieth IEEE International Parallel and Distributed Processing Symposium (IPDPS'06), pp. 1-10 G. Chen, F. Li, Mahmut T Kandemir and I. Demirkiran, 2006, "Compiler-directed Management of Leakage Power in Software-managed Memories", Proceedings of the IEEE Computer Society Annual Symposium on VLSI (ISVLSI 2006), pp. 450-451 H. Koc, S. Tosun, O. Ozturk and Mahmut T Kandemir, 2006, "Reducing Memory Requirements through Task Recomputation in Embedded Multi-CPU Systems", Proceedings of the IEEE Computer Society Annual Symposium on VLSI (ISVLSI 2006), pp. 448-449 G. Chen, Mahmut T Kandemir and F. Li, 2006, "Energy-Aware Computation Duplication for Improving Reliability in Embedded Chip Multiprocessors", Proceedings of the Eleventh Asia and South Pacific Design Automation Conference (ASP-DAC 2006), pp. 134-139 G. Chen, Mahmut T Kandemir, N. Vijaykrishnan and M. J. Irwin, 2006, "Object Duplication for Improving Reliability", Proceedings of the Eleventh Asia and South Pacific Design Automation Conference (ASP-DAC 2006) G. Chen, F. Li and Mahmut T Kandemir, 2006, "Compiler-Directed Channel Allocation for Saving Power in On-Chip Networks", Proceedings of the Thirty-Third Annual ACM-SIGACT Symposium on Principles of Programming Languages (POPL 2006), pp. 194-205 G. Chen and Mahmut T Kandemir, 2005, "Optimizing Embedded Applications Using Programmer-inserted Hints", Proceedings of the Tenth Asia and South Pacific Design Automation Conference (ASP-DAC 2005), pp. 157-160 Mahmut T Kandemir, G. Chen, F. Li and I. Demirkiran, 2005, "Using Data Replication to Reduce Communication Energy on Chip Multiprocessors", Proceedings of the Tenth Asia and South Pacific Design Automation Conference (ASP-DAC 2005), pp. 769-772 O. Ozturk, H. Saputra, Mahmut T Kandemir and I. Kolcu, 2005, "Access Pattern-based Code Compression for Memory-constrained Embedded Systems", Proceedings of the Design, Automation, and Test in Europe (DATE 2005), pp. 882-887 S. Tosun, O. Ozturk, N. Mansouri, E. Arvas, Mahmut T Kandemir and Y. Xie, 2005, "An ILP Formulation for Reliability-Oriented High-Level Synthesis", Proceedings of the Sixth International Symposium on Quality Electronic Design (ISQED 2005), pp. 364-369 G. Chen, O. Ozturk and Mahmut T Kandemir, 2005, "An Adaptive Locality-Conscious Process Scheduler for Embedded Systems", Proceedings of the Eleventh IEEE Real-time and Embedded Technology and Applications Symposium (RTAS 2005), pp. 354-364 I. Kadayif, Mahmut T Kandemir and G. Chen, 2005, "Studying Interactions Between Prefetching and Cache Line Turnoff", Proceedings of the Asia South Pacific Design Automation Conference (ASP-DAC 2005), pp. 545-548 G. Chen, F. Li, Mahmut T Kandemir and I. Demirkiran, 2005, "Increasing FPGA Resilience Against Soft Errors Using Task Duplication", Proceedings of the Asia South Pacific Design Automation Conference (ASP-DAC 2005), pp. 924-927 G. Chen, Mahmut T Kandemir and M. J. Irwin, 2005, "Compiler-directed Selective Data Protection Against Soft Errors", Proceedings of the Asia South Pacific Design Automation Conference (ASP-DAC 2005), pp. 713-716 G. Chen, K. Malkowski, Mahmut T Kandemir and P. Raghavan, 2005, "Reducing Power with Performance Constraints for Parallel Sparse Applications", Proceedings of the First Workshop on High-Performance, Power-Aware Computing (HP-PAC 2005), in conjunction with IPDPS 2005, pp. p. 231a G. Chen, Mahmut T Kandemir, S. Tosun and U. Sezer, 2005, "Reliability-conscious Process Scheduling under Performance Constraints in FPGA-based Embedded Systems", Proceedings of the Twelfth Reconfigurable Architectures Workshop (RAW '05), pp. p. 162a S. C. Chiu, A. Choudhary and Mahmut T Kandemir, 2005, "Fault Recovery Designs for Processor-Embedded Distributed Storage Architectures with I/O-Intensive DB Workloads", Proceedings of the Twenty-Second IEEE - Thirteenth NASA Goddard Conference on Mass Storage Systems and Technologies (MSST 2005), pp. 278-285 S. W. Son, Mahmut T Kandemir and A. Choudhary, 2005, "Software-directed Disk Power Management for Scientific Applications", Proceedings of the International Parallel Distributed Processing Symposium (IPDPS 2005), pp. p. 4a S. Tosun, N. Mansouri, E. Arvas, Mahmut T Kandemir and Y. Xie, 2005, "Reliability-centric Hardware/Software Codesign", Proceedings of the Sixth International Symposium on Quality Electronic Design (ISQED 2005), pp. 375-380 M. Vilayannur, A. Sivasubramaniam and Mahmut T Kandemir, 2005, "Proactive Page Replacement for Scientific Applications: A Characterization", Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS '05), pp. 248-257 G. Chen and Mahmut T Kandemir, 2005, "Optimizing Address Code Generation for Array-intensive DSP Applications", Proceedings of the International Symposium on Code Generation and Optimization (CGO '05), pp. 141-152 O. Ozturk and Mahmut T Kandemir, 2005, "Energy Management in Software-controlled Multi-level Memory Hierarchies", Proceedings of ACM Great Lakes Symposium on VLSI (GLSVLSI 2005), pp. 270-275 O. Ozturk and Mahmut T Kandemir, 2005, "Integer Linear Programming Based Energy Optimization for Banked DRAMs", Proceedings of ACM Great Lakes Symposium on VLSI (GLSVLSI 2005), pp. 92-95 G. Memik, Mahmut T Kandemir and A. Mallik, 2005, "Load Elimination for Low-power Embedded Processors", Proceedings of ACM Great Lakes Symposium on VLSI (GLSVLSI 2005), pp. 282-285 O. Ozturk, Mahmut T Kandemir and M. J. Irwin, 2005, "Using Data Compression in an MPSoC Architecture for Improving Performance", Proceedings of ACM Great Lakes Symposium on VLSI (GLSVLSI 2005), pp. 353-356 F. Li, G. Chen, Mahmut T Kandemir and R. Brooks, 2005, "A Compiler-based Approach to Data Security", Proceedings of the Fourteenth International Conference on Compiler Construction (CC '05), pp. 188-203 G. Chen, Mahmut T Kandemir and M. Karakoy, 2005, "A Constraint Network Based Approach to Memory Layout Optimization", Proceedings of the Design, Automation, and Test in Europe (DATE 2005), pp. 1156-1161 O. Ozturk, Mahmut T Kandemir and M. J. Irwin, 2005, "BB-GC: Basic-block Level Garbage Collection", Proceedings of the Design, Automation, and Test in Europe (DATE 2005), pp. 1032-1037 Mahmut T Kandemir, F. Li, G. Chen and O. Ozturk, 2005, "Studying Storage-recomputation Tradeoffs in Memory-constrained Embedded Processing", Proceedings of the Design, Automation, and Test in Europe (DATE 2005), pp. 1026-1031 Mahmut T Kandemir and G. Chen, 2005, "Locality-aware Process Scheduling for Embedded MPSoCs", Proceedings of the Design, Automation, and Test in Europe (DATE 2005), pp. 870-875 G. Memik, Mahmut T Kandemir and O. Ozturk, 2005, "Increasing Register File Immunity to Transient Errors", Proceedings of the Design, Automation, and Test in Europe (DATE 2005), pp. 586-591 O. Ozturk and Mahmut T Kandemir, 2005, "Nonuniform Banking for Reducing Memory Energy Consumption", Proceedings of the Design, Automation, and Test in Europe (DATE 2005), pp. 814-819 S. W. Son, G. Chen, Mahmut T Kandemir and A. Choudhary, 2005, "Exposing Disk Layout to Compiler for Reducing Energy Consumption of Parallel Disk Based Systems", Proceedings of the Symposium on Principles and Practice of Parallel Programming (PPoPP '05), pp. 174-185 S. W. Son, G. Chen and Mahmut T Kandemir, 2005, "Disk Layout Optimization for Reducing Energy Consumption", Proceedings of the Nineteenth ACM International Conference on Supercomputing (ICS '05), pp. 274-283 G. Chen, Mahmut T Kandemir and M. Karakoy, 2005, "A Data-centric Approach to Checksum Reuse for Array-intensive Applications", Proceedings of the International Conference on Dependable Systems and Networks (DSN '05), pp. 316-325 S. W. Son, G. Chen and Mahmut T Kandemir, 2005, "Power-aware Code Scheduling for Clusters of Active Disks", Proceedings of the International Symposium on Low Power Electronics and Design (ISLPED 2005), pp. 293-298 Mahmut T Kandemir, S. W. Son and G. Chen, 2005, "An Evaluation of Code and Data Optimizations in the Context of Disk Power Reduction", Proceedings of the International Symposium on Low Power Electronics and Design (ISLPED 2005), pp. 209-214 G. M. Chen and Mahmut T Kandemir, 2005, "Dataflow Analysis for Energy-efficient Scratch-pad Memory Management", Proceedings of the International Symposium on Low Power Electronics and Design (ISLPED 2005), pp. 327-330 G. Chen, O. Ozturk and Mahmut T Kandemir, 2005, "Exploiting Inter-processor Data Sharing for Improving Behavior of Multi-processor SoCs", Proceedings of the IEEE Computer Society Annual Symposium on VLSI (ISVLSI '05), pp. 90-95 F. Li and Mahmut T Kandemir, 2005, "Increasing Data TLB Resilience to Transient Errors", Proceedings of the IEEE Computer Society Annual Symposium on VLSI (ISVLSI '05), pp. 297-298 F. Li and Mahmut T Kandemir, 2005, "Locality-conscious Workload Assignment for Array-based Computations in MPSOC Architectures", Proceedings of the Forty-Second Design Automation Conference (DAC '05), pp. 95-100 Mahmut T Kandemir, G. Chen and I. Kadayif, 2005, "Compiling for Memory Emergency", Proceedings of the ACM SIGPLAN/SIGBED Conference on Languages, Compilers, and Tools for Embedded Systems (LCTES '05), pp. 213-221 G. Chen and Mahmut T Kandemir, 2005, "Improving Java Virtual Machine Reliability for Memory-constrained Embedded Systems", Proceedings of the Forty-Second Design Automation Conference (DAC '05), pp. 690-695 S. Tosun, N. Mansouri, E. Arvas, Mahmut T Kandemir and Y. Xie, 2005, "Reliability-centric High-level Synthesis", Proceedings of the Design, Automation, and Test in Europe (DATE 2005), pp. 1258-1263 J. Hu, Mahmut T Kandemir, F. Li, V. Degalahal, N. Vijaykrishnan and M. J. Irwin, 2005, "Compiler-directed Instruction Duplication for Soft Error Detection", Proceedings of the Design, Automation, and Test in Europe (DATE 2005), pp. 1056-1057 W.-L. Hung, Y. Xie, N. Vijaykrishnan, Mahmut T Kandemir and M. J. Irwin, 2005, "Thermal-Aware Allocation and Scheduling for Systems-on-a-Chip Design", Proceedings of the Design, Automation, and Test in Europe (DATE 2005), pp. 898-899 N. Sri Hari Krishna, S. W. Son, Mahmut T Kandemir and F. Li, 2005, "Using Loop Invariants to Fight Soft Errors in Data Caches", Proceedings of the Asia South Pacific Design Automation Conference (ASP-DAC 2005), pp. 1317-1320 J. Conner, Y. Xie, Mahmut T Kandemir, R. Dick and G. Link, 2005, "FD-HGAC: A Hybrid Heuristic/Genetic Algorithm Hardware/Software Co-synthesis Framework with Fault Detection", Proceedings of the Asia South Pacific Design Automation Conference (ASP-DAC 2005), pp. 709-712 O. Ozturk, Mahmut T Kandemir, G. Chen and M. J. Irwin, 2005, "Customized On-chip Memories for Embedded Chip Multiprocessors", Proceedings of the Asia South Pacific Design Automation Conference (ASP-DAC 2005), pp. 743-748 H. Saputra, O. Ozturk, N. Vijaykrishnan, Mahmut T Kandemir and R. Brooks, 2005, "A Data-driven Approach for Embedded Security", Proceedings of the IEEE Computer Society Annual Symposium on VLSI (ISVLSI '05), pp. 104-109 G. Chen, Mahmut T Kandemir and M. J. Irwin, 2005, "Exploiting Frequent Field Values in Java Objects for Reducing Heap Memory Requirements", Proceedings of the First ACM/USENIX Conference on Virtual Execution Environments (VEE '05), pp. 68-78 G. Chen, Mahmut T Kandemir and M. Karakoy, 2005, "Memory Space Conscious Loop Iteration Duplication for Reliable Execution", Proceedings of the Twelfth International Static Analysis Symposium (SAS '05), 3672, (1), pp. 52-69 C. Liu, A. Sivasubramaniam, Mahmut T Kandemir and M. J. Irwin, 2005, "Exploiting Barriers to Optimize Power Consumption of CMPs", Proceedings of the International Parallel Distributed Processing Symposium (IPDPS 2005), pp. p. 5a S. H. K. Narayanan, O. Ozturk, Mahmut T Kandemir and M. Karakoy, 2005, "Workload Clustering for Increasing Energy Savings on Embedded MPSoCs", Proceedings of the IEEE International SoC Conference (SOCC 2005), pp. 155-160 S. Tosun, N. Mansouri and Mahmut T Kandemir, 2005, "Constraint-based Code Mapping for Heterogeneous Chip Multiprocessor", Proceedings of the IEEE International SoC Conference (SOCC 2005), pp. 89-90 O. Ozturk, Mahmut T Kandemir and M. J. Irwin, 2005, "On-Chip Memory Management for Embedded MpSoC Architectures Based on Data Compression", Proceedings of the IEEE International SoC Conference (SOCC 2005), pp. 175-178 G. Chen and Mahmut T Kandemir, 2005, "Runtime Integrity Checking for Inter-Object Connections", Proceedings of the International Conference on Computer Aided Design (ICCAD 2005), pp. 303-306 S. H. Krishna Narayanan, G. Chen, Mahmut T Kandemir and Y. Xie, 2005, "Temperature-Sensitive Loop Parallelization for Chip Multiprocessors", Proceedings of the IEEE International Conference on Computer Design (ICCD 2005), pp. 677-682 M. Pirretti, N. Vijaykrishnan, Mahmut T Kandemir and R. Brooks, 2005, "Realistic Models for Sensor Networks Using Key Predistribution Schemes", Proceedings of the Innovations and Commercial Applications of Distributed Sensor Networks Symposium (ICA DSN) M. Pirretti, S. Zhu, N. Vijaykrishnan, P. McDaniel, Mahmut T Kandemir and R. Brooks, 2005, "The Sleep Deprivation Attack in Sensor Networks: Analysis and Methods of Defense", Proceedings of the Innovations and Commercial Applications of Distributed Sensor Networks Symposium (ICA DSN 2005) G. Chen and Mahmut T Kandemir, 2005, "Verifiable Annotations for Embedded Java Environments", Proceedings of the International Conference on Compilers, Architectures, and Synthesis of Embedded Systems (CASES '05), pp. 105-114 G. Chen and Mahmut T Kandemir, 2005, "Optimizing Inter-processor Data Locality on Embedded Chip Multiprocessors", Proceedings of the Fifth International Conference on Embedded Software (EMSOFT '05), pp. 227-236 F. Li, G. Chen, Mahmut T Kandemir and M. Karakoy, 2005, "Exploiting Last Idle Periods of Links for Network Power Management", Proceedings of the Fifth International Conference on Embedded Software (EMSOFT '05), pp. 134-137 K. Coloma, A. N. Choudhary, A. Ching, W.-K. Liao, S. W. Son, Mahmut T Kandemir and L. Ward, 2005, "Power and Performance in I/O for Scientific Applications", Proceedings of the Workshop on NSF Next Generation Software Program, in conjunction with IPDPS 2005, pp. 224b G. Chen, Mahmut T Kandemir and U. Sezer, 2004, "Configuration-sensitive Process Scheduling for FPGA-based Computing Platforms", Proceedings of the Design Automation and Test in Europe Conference (DATE '04), 1, pp. 10486-10493 Mahmut T Kandemir, 2004, "Impact of Data Transformations on Memory Bank Locality", Proceedings of the Design Automation and Test in Europe Conference (DATE '04), 1, pp. 10506-10511 I. Kadayif and Mahmut T Kandemir, 2004, "Tuning In-sensor Data Filtering to Reduce Energy Consumption in Wireless Sensor Networks", Proceedings of the Design Automation and Test in Europe Conference (DATE '04), 2, pp. 20852-20857 I. Kadayif, I. Kolcu, Mahmut T Kandemir, N. Vijaykrishnan and M. J. Irwin, 2004, "Exploiting Processor Workload Heterogeneity for Reducing Energy Consumption in Chip Multiprocessor", Proceedings of the Design Automation and Test in Europe Conference (DATE '04), 2, pp. 21158-21163 J. Pisharath, A. Choudhary and Mahmut T Kandemir, 2004, "Data Windows: A Data-centric Approach for Query Execution in Memory-resident Databases", Proceedings of the Design Automation and Test in Europe Conference (DATE '04), 2, pp. 21352-21353 O. Ozturk, Mahmut T Kandemir, I. Demirkiran, G. Chen and M. J. Irwin, 2004, "Data Compression for Improving SPM Behavior.," Proceedings of the Forty-First Design Automation Conference (DAC '04)", pp. 401-406 M. Pirreti, G. Link, R. Brooks, N. Vijaykrishnan, Mahmut T Kandemir and M. J. Irwin, 2004, "Fault-tolerant Algorithms for Network-on-chip Interconnect", Proceedings of the IEEE Computer Society Annual Symposium on VLSI (ISVLSI 2004), pp. 46-51 A. Gayasen, Y. Tsai, N. Vijaykrishnan, Mahmut T Kandemir and M. J. Irwin, 2004, "Reducing Leakage Energy in FPGAs Using Region-constrained Placement", Proceedings of the ACM International Symposium on Field-Programmable Gate Arrays (FPGA '04), pp. 51-58 I. Kadayif, P. Nath, Mahmut T Kandemir and A. Sivasubramaniam, 2004, "Compiler-directed Physical Address Generation for Reducing dTLB Power", Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS '04), pp. 161-168 B. Demiroz, H. Topcuoglu and Mahmut T Kandemir, 2004, "A Hybrid Evolutionary Algorithm for Solving the Register Allocation Problem", Proceedings of the Fourth European Conference on Evolutionary Computation in Combinatorial Optimization (EvoCOP '04), pp. 62-71 F. Li, P. Agrawal, G. Eberhardt, E. Manavoglu, S. Ugurel and Mahmut T Kandemir, 2004, "Improving Memory Performance of Embedded Java Applications by Dynamic Layout Modifications", Proceedings of the Sixth International Workshop on Java for Parallel and Distributed Computing, in conjunction with the Eighteenth International Parallel and Distributed Processing Symposium (IPDPS '04), pp. p. 159b F. Li and Mahmut T Kandemir, 2004, "Improving Performance of Java Applications Using a Coprocessor", Proceedings of the Thirteenth International Heterogeneous Computing Workshop (HCW 2004), in conjunction with the Eighteenth International Parallel and Distributed Processing Symposium (IPDPS '04), pp. p. 109a Mahmut T Kandemir, 2004, "Exploiting Memory Bank Locality in Multiprocessor SoC Architectures", Proceedings of the Eighteenth International Parallel and Distributed Processing Symposium (IPDPS '04), pp. p. 92b E. Swankoski, R. Brooks, N. Vijaykrishnan, Mahmut T Kandemir and M. J. Irwin, 2004, "A Parallel Architecture for Secure FPGA Symmetric Encryption", Proceedings of the Eleventh Reconfigurable Architectures Workshop (RAW 2004), pp. p. 132 E. Lattanzi, A. Bogliolo, A. Gayasen, Mahmut T Kandemir, N. Vijaykrishnan and L. Benini, 2004, "Improving Java Performance Using Dynamic Method Migration on FPGAs", Proceedings of the Eleventh Reconfigurable Architectures Workshop (RAW 2004), pp. p. 134 O. Ozturk, Mahmut T Kandemir, M. J. Irwin and I. Kolcu, 2004, "Tuning Data Replication for Improving Behavior of MPSoC Applications", Proceedings of the 2004 Great Lakes Symposium on VLSI (GLSVLSI '04), pp. 170-173 Mahmut T Kandemir, 2004, "LODS: Locality-oriented Dynamic Scheduling for On-chip Multiprocessors", Proceedings of the Forty-First Design Automation Conference (DAC '04), pp. 125-128 M. Vilayannur, R. B. Ross, P. H. Carns, R. Thakur, A. Sivasubramaniam and Mahmut T Kandemir, 2004, "On the Performance of the POSIX I/O Interface to PVFS", Proceedings of the Twelfth Euromicro Conference on Parallel and Distributed Processing (PDP2004), pp. 332-339 C. Liu, A. Sivasubramaniam and Mahmut T Kandemir, 2004, "Optimizing Bus Energy Consumption of On-Chip Multiprocessors Using Frequent Values", Proceedings of the Twelfth Euromicro Conference on Parallel and Distributed Processing (PDP2004), pp. 340-349 C. Liu, A. Sivasubramaniam and Mahmut T Kandemir, 2004, "Organizing the Last Line of Defense Before Hitting the Memory Wall for CMPs", Proceedings of the Tenth International Symposium on High Performance Computer Architecture (HPCA-10), pp. 176-185 L. Li, N. Vijaykrishnan, Mahmut T Kandemir and M. J. Irwin, 2004, "A Crosstalk Aware Interconnect with Variable Cycle Transmission", Proceedings of the Design Automation and Test in Europe Conference (DATE '04), 1, pp. 10102-10107 J. S. Hu, N. Vijaykrishnan, S. Kim, Mahmut T Kandemir and M. J. Irwin, 2004, "Scheduling Reusable Instructions for Power Reduction", Proceedings of the Design Automation and Test in Europe Conference (DATE '04), 1, pp. 10148-10155 H. Saputra, G. Chen, R. Brooks, N. Vijaykrishnan, Mahmut T Kandemir and M. J. Irwin, 2004, "Code Protection for Resource-constrained Embedded Devices", Proceedings of the ACM SIGPLAN/SIGBED 2004 Conference on Languages, Compilers, and Tools for Embedded Systems (LCTES '04), pp. 240-248 J. Pisharath, A. Choudhary and Mahmut T Kandemir, 2004, "A Window-Based Approach to Retrieving Memory-Resident Data for Query Execution", Proceedings of the Eighth International Database Engineering & Applications Symposium (IDEAS '04), pp. 283-288 L. Li, V. Degalahal, N. Vijaykrishnan, Mahmut T Kandemir and M. J. Irwin, 2004, "Soft Error and Energy Consumption Interactions: A Data Cache Perspective", Proceedings of the International Symposium on Low Power Electronics and Design (ISLPED 2004, pp. 132-137 W. Hung, Y. Xie, N. Vijaykrishnan, Mahmut T Kandemir and M. J. Irwin, 2004, "Total Power Optimization Through Simultaneously Multiple-VDD Multiple-VTH Assignment and Device Sizing With Stack Forcing", Proceedings of the International Symposium on Low Power Electronics and Design (ISLPED 2004), pp. 144-149 A. Gayasen, K. Lee, N. Vijaykrishnan, Mahmut T Kandemir, M. J. Irwin and T. Tuan, 2004, "A Dual Vdd Low-power FPGA Architecture.," Proceedings of the International Conference on Field-programmable Logic and Its Applications (FPL '04)", pp. 145-157 V. De La Luz, Mahmut T Kandemir, A. Sivasubramaniam and M. J. Irwin, 2004, "Exploring the Possibility of Operating in the Compressed Domain", Proceedings of the International Conference on Parallel and Distributed Computing (Euro-Par '04), 3149, (1), pp. 507-515 I. Kadayif, Mahmut T Kandemir and I. Demirkiran, 2004, "Compiler-guided Code Restructuring for Improving Instruction TLB Energy Behavior", Proceedings of the International Conference on Parallel and Distributed Computing (Euro-Par '04), 349, (1), pp. 304-309 Mahmut T Kandemir, O. Ozturk, M. J. Irwin and I. Kolcu, 2004, "Using Data Compression to Increase Energy Savings in Multi-bank Memories", Proceedings of the International Conference on Parallel and Distributed Computing (Euro-Par '04), 3149, (1), pp. 310-317 Mahmut T Kandemir, G. Chen and F. Li, 2004, "Reliability-aware OS Support for FPGA-based Systems", Proceedings of the Annual Military and Aerospace Applications of Programmable Devices and Technologies Conference (MAPLD '04) Mahmut T Kandemir, I. Kadayif and G. Chen, 2004, "Compiler-directed Code Restructuring for Reducing Data TLB Energy", Proceedings of the IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and Systems Synthesis (CODES+ISSS '04), pp. 98-103 G. Chen, Mahmut T Kandemir, N. Vijaykrishnan, A. Sivasubramaniam and M. J. Irwin, 2004, "Analyzing Object Error Behavior in Embedded JVM Environments", Proceedings of the IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and Systems Synthesis (CODES+ISSS '04), pp. 230-235 G. Chen and Mahmut T Kandemir, 2004, "An ILP-based Approach to Locality Optimization", Proceedings of the Seventeenth International Workshop on Languages and Compilers for Parallel Computing (LCPC '04), pp. 149-163 Mahmut T Kandemir, O. Ozturk and M. Karakoy, 2004, "Dynamic On-chip Memory Management for Chip Multiprocessors", Proceedings of the International Conference on Compilers, Architectures, and Synthesis for Embedded Systems (CASES '04), pp. 14-23 J. Pisharath, A. Choudhary and Mahmut T Kandemir, 2004, "Reducing Energy Consumption of Queries in Memory-resident Database Systems", Proceedings of the International Conference on Compilers, Architectures, and Synthesis for Embedded Systems (CASES '04), pp. 35-45 Y. Xie, Mahmut T Kandemir, L. Li, N. Vijaykrishnan and M. J. Irwin, 2004, "Reliability-aware Cosynthesis for Embedded Systems", Proceedings of the Fifteenth IEEE International Conference on Application-Specific Systems, Architectures, and Processors (ASAP '04), pp. 41-50 G. Chen, Mahmut T Kandemir, N. Vijaykrishnan and M. J. Irwin, 2004, "Field-level Analysis for Heap Space Optimization in Embedded Java", Proceedings of the International Symposium on Memory Management (ISMM '04) S. Srinivasan, A. Gayasen, N. Vijaykrishnan, Mahmut T Kandemir, Y. Xie and M. J. Irwin, 2004, "Improving Soft-error Tolerance of FPGA Configuration Bits", Proceedings of the International Conference on Computer Aided Design (ICCAD-2004), pp. 107-110 Mahmut T Kandemir, M. J. Irwin, G. Chen and I. Kolcu, 2004, "Banked Scratch-pad Memory Management for Reducing Leakage Energy Consumption", Proceedings of the International Conference on Computer Aided Design (ICCAD-2004), pp. 120-124 J. Pisharath, A. Choudhary and Mahmut T Kandemir, 2004, "Energy Management Schemes for Memory-resident Database Systems", Proceedings of the Thirteenth International Conference on Information and Knowledge Management (CIKM '04), pp. 218-227 J. S. Hu, N. Vijaykrishnan, M. J. Irwin and Mahmut T Kandemir, 2003, "Using Dynamic Branch Behavior for Power-Efficient Instruction Fetch", Proceedings of the IEEE Annual Symposium on VLSI (ISVLSI '03), pp. 127-132 S. Gurumurthi, J. Zhang, A. Sivasubramaniam, Mahmut T Kandemir, H. Franke, N. Vijaykrishnan and M. J. Irwin, 2003, "Interplay of Energy and Performance for Disk Arrays Running Transaction Processing Workloads", Proceedings of the International Symposium on Performance Analysis of Systems and Software (ISPASS '03), pp. 123-132 H. Saputra, N. Vijaykrishnan, Mahmut T Kandemir, M. J. Irwin, R. Brooks, S. Kim and W. Zhang, 2003, "Masking the Energy Behavior of DES Encryption", Proceedings of International Conference on Design Automation and Test in Europe (DATE 2003), pp. 10084-10089 Mahmut T Kandemir, G. Chen, W. Zhang and I. Kolcu, 2003, "Data Space Oriented Scheduling in Embedded Systems", Proceedings of International Conference on Design Automation and Test in Europe (DATE 2003), pp. 10416-10427 Mahmut T Kandemir, W. Zhang and M. Karakoy, 2003, "Runtime Code Parallelization for On-Chip Multiprocessors", Proceedings of International Conference on Design Automation and Test in Europe (DATE 2003), pp. 10510-10515 G. Memik, M. Haldar, A. Choudhary, Mahmut T Kandemir and I. Kadayif, 2003, "An Integrated Approach for Improving Cache Behavior", Proceedings of International Conference on Design Automation and Test in Europe (DATE 2003), pp. 10796-10801 V. De La Luz, Mahmut T Kandemir, I. Kadayif and U. Sezer, 2003, "Generalized Data Transformations for Enhancing Cache Behavior", Proceedings of International Conference on Design Automation and Test in Europe (DATE 2003), pp. 10906-10911 Mahmut T Kandemir, I. Kolcu and W. Zhang, 2003, "Implementation and Evaluation of an On-Demand Parameter-Passing Strategy for Reducing Energy", Proceedings of International Conference on Design Automation and Test in Europe (DATE 2003), pp. 11058-11063 W. Zhang, Mahmut T Kandemir, N. Vijaykrishnan, M. J. Irwin and V. De, 2003, "Compiler Support for Reducing Leakage Energy Consumption", Proceedings of International Conference on Design Automation and Test in Europe (DATE 2003), pp. 11146-11147 Mahmut T Kandemir, M. J. Irwin, G. Chen and J. Ramanujam, 2003, "Address Register Assignment for Reducing Code Size", Proceedings of the Twelfth International Conference on Compiler Construction (CC '03), 2622, pp. 273-289 S. Gurumurthi, N. An, A. Sivasubramaniam, N. Vijaykrishnan, Mahmut T Kandemir and M. J. Irwin, 2003, "Energy and Performance Considerations in Work Partitioning for Mobile Spatial Queries", Proceedings of the International Parallel and Distributed Processing Symposium (IPDPS 2003) G. Chen, B. Kang, Mahmut T Kandemir, N. Vijaykrishnan, M. J. Irwin and R. Chandramouli, 2003, "Energy-Aware Compilation and Execution in Java-Enabled Mobile Devices", Proceedings of the International Parallel and Distributed Processing Symposium (IPDPS 2003) M. Vilayannur, A. Sivasubramaniam, Mahmut T Kandemir, R. Thakur and R. Ross, 2003, "Discretionary Caching for I/O on Clusters", Proceedings of the ACM/IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2003), pp. 96-103 W. Zhang, G. Chen, Mahmut T Kandemir and M. Karakoy, 2003, "Interprocedural Optimizations for Improving Data Cache Performance of Array-intensive Embedded Applications", Proceedings of the Fortieth Design Automation Conference (DAC '03), pp. 887-892 S. Gurumurthi, A. Sivasubramaniam, Mahmut T Kandemir and H. Franke, 2003, "Dynamic Speed Control for Server Class Disks", Proceedings of the Thirtieth Annual International Symposium on Computer Architecture (ISCA 2003), pp. 169-179 P. Unnikrishnan, G. Chen, Mahmut T Kandemir, M. Karakoy and I. Kolcu, 2003, "Loop Transformations for Reducing Data Space Requirements of Resource-constrained Applications", Proceedings of the Tenth Annual International Static Analysis Symposium (SAS '03), pp. 383-400 H. S. Kim, N. Vijaykrishnan, Mahmut T Kandemir and M. J. Irwin, 2003, "Adapting Instruction Level Parallelism for Optimizing Leakage in VLIW Architectures", Proceedings of the Workshop on Languages, Compilers, and Tools for Embedded Systems (LCTES '03), pp. 275-283 W. Zhang, S. Gurumurthi, Mahmut T Kandemir and A. Sivasubramaniam, 2003, "ICR: In-Cache Replication for Enhancing Cache Reliability", Proceedings of the International Conference on Dependable Systems and Networks (DSN-2003), pp. 291-304 W. Zhang, M. Karakoy, Mahmut T Kandemir and G. Chen, 2003, "A Compiler Approach for Reducing Data Cache Energy", Proceedings of the Seventeenth Annual ACM International Conference on Supercomputing (ICS '03), pp. 76-85 H. S. Kim, N. Vijaykrishnan, Mahmut T Kandemir, E. Brockmeyer, F. Catthoor and M. J. Irwin, 2003, "Estimating Influence of Data Layout Optimizations on SDRAM Energy Consumption", Proceedings of the International Symposium on Low Power Electronics and Design (ISLPED '03), pp. 40-43 J. Hu, N. Vijaykrishnan, Mahmut T Kandemir and M. J. Irwin, 2003, "Exploiting Program Hotspots and Code Sequentiality for Instruction Cache Leakage Management", Proceedings of the International Symposium on Low Power Electronics and Design (ISLPED '03), pp. 402-407 E. J. Kim, K. H. Yum, G. Link, N. Vijaykrishnan, Mahmut T Kandemir, M. J. Irwin and C. R. Das, 2003, "Energy Optimization Techniques in Cluster Interconnects", Proceedings of the International Symposium on Low Power Electronics and Design (ISLPED '03), pp. 459-464 G. Chen, Mahmut T Kandemir, I. Kolcu and A. Choudhary, 2003, "Exploiting on-chip Data Transfers for Improving Performance of Chip-scale Multiprocessors", Proceedings of the International Conference on Parallel and Distributed Computing (Euro-Par '03), pp. 271-278 I. Kadayif, Mahmut T Kandemir, A. Choudhary and M. Karakoy, 2003, "An Energy-oriented Evaluation of Communication Optimizations for Microsensor Networks", Proceedings of the International Conference on Parallel and Distributed Computing (Euro-Par '03), pp. 279-286 H. Saputra, N. Vijaykrishnan, Mahmut T Kandemir, R. Brooks and M. J. Irwin, 2003, "Exploiting Value Locality for Secure Energy Aware Communication", Proceedings of the IEEE Workshop on Signal Processing Systems (SIPS '03), pp. 116-121 L. Li, N. Vijaykrishnan, Mahmut T Kandemir, M. J. Irwin and I. Kadayif, 2003, "CCC: Crossbar Connected Caches for Reducing Energy", Proceedings of the Euromicro Symposium on Digital System Design (DSD 2003), pp. 41-48 G. Chen, G. Chen, I. Kadayif, W. Zhang, Mahmut T Kandemir, I. Kolcu and U. Sezer, 2003, "Compiler-Directed Management of Instruction Accesses", Proceedings of the Euromicro Symposium on Digital System Design (DSD 2003), pp. 459-462 A. Nadgir, Mahmut T Kandemir and G. Chen, 2003, "An Access Pattern Based Energy Management Strategy for Instruction Caches", Proceedings of the IEEE International SOC Conference (ASIC/SOC '03), pp. 175-178 G. Chen, G. Chen, Mahmut T Kandemir, N. Vijaykrishnan and M. J. Irwin, 2003, "Energy-aware Code Cache Management for Memory-constrained Java Devices", Proceedings of the IEEE International SOC Conference (ASIC/SOC '03), pp. 179-182 G. Chen, Mahmut T Kandemir and I. Kolcu, 2003, "An Integrated Optimization Strategy for Saving Energy on Multiprocessor-on-a-chip Architectures", Proceedings of the IEEE International SOC Conference (ASIC/SOC '03), pp. 253-254 I. Kadayif, Mahmut T Kandemir and G. Chen, 2003, "Influence of Communication Optimizations on on-chip Multi-processor Energy", Proceedings of the IEEE International SOC Conference (ASIC/SOC '03), pp. 255-256 A. Hegde, N. Vijaykrishnan, Mahmut T Kandemir and M. J. Irwin, 2003, "VL-CDRAM: Variable Line Sized Cached DRAMs", Proceedings of the CODES-ISSS Merged Conference (CODES/ISSS '03), pp. 132-137 G. Chen, N. Vijaykrishnan, Mahmut T Kandemir, M. J. Irwin and M. Woclzko, 2003, "Tracking Object Life Cycle for Leakage Energy Optimization", Proceedings of the CODES-ISSS Merged Conference (CODES/ISSS '03), pp. 213-218 G. Chen, G. Chen, Mahmut T Kandemir and A. Nadgir, 2003, "Compiler-based Code Partitioning for Intelligent Embedded Disk Processing", Proceedings of the Sixteenth International Workshop on Languages and Compilers for Parallel Computing (LCPC '03) V. De La Luz, Mahmut T Kandemir, G. Chen, M. J. Irwin and I. Kolcu, 2003, "Energy-conscious Memory Allocation and Deallocation for Pointer-intensive Applications", Proceedings of the Third International Conference on Embedded Software (EMSOFT '03), pp. 156-172 V. De La Luz, A. Sivasubramaniam, Mahmut T Kandemir, M. J. Irwin and N. Vijaykrishnan, 2003, "Reducing dTLB Energy Through Dynamic Resizing", Proceedings of the Twenty-First International Conference on Computer Design (ICCD 2003), pp. 358-363 G. Chen, Mahmut T Kandemir, N. Vijaykrishnan, M. J. Irwin, B. Mathiske and M. Wolczko, 2003, "Heap Compression for Memory-constrained Java Environments", Proceedings of the Eighteenth Annual ACM SIGPLAN Conference on Object-Oriented Programming, Systems, Languages, and Applications (OOPSLA '03), pp. 282-301 U. Sezer, G. Chen, Mahmut T Kandemir, H. Saputra and M. J. Irwin, 2003, "Exploiting Bank Locality in Multi-bank Memories", Proceedings of the International Conference on Compilers, Architecture, and Synthesis for Embedded Systems (CASES '03), pp. 287-297 W. Zhang, Mahmut T Kandemir, A. Sivasubramaniam and M. J. Irwin, 2003, "Performance, Energy, and Reliability Tradeoffs in Replicating Hot Cache Lines", Proceedings of the International Conference on Compilers, Architecture, and Synthesis for Embedded Systems (CASES '03), pp. 309-317 L. Li, N. Vijaykrishnan, Mahmut T Kandemir and M. J. Irwin, 2003, "Adaptive Error Protection for Energy Efficiency", Proceedings of the International Conference on Computer Aided Design (ICCAD-2003), pp. 2-7 G. Chen, Mahmut T Kandemir, U. Sezer and A. Nadgir, 2003, "Array Composition and Decomposition for Optimizing Embedded Applications", Proceedings of the International Conference on Computer Aided Design (ICCAD-2003), pp. 193-196 G. Chen, R. Shetty, Mahmut T Kandemir, N. Vijaykrishnan, M. J. Irwin and M. Wolczko, 2002, "Tuning Garbage Collection in an Embedded Java Environment", Proceedings of the Eighth International Symposium on High-Performance Computer Architecture (HPCA-8), pp. 92-103 S. Gurumurthi, A. Sivasubramaniam, M. J. Irwin, N. Vijaykrishnan, Mahmut T Kandemir, T. Li and L. K. John, 2002, "Using Complete Machine Simulation for Software Power Estimation: The SoftWatt Approach", Proceedings of the Eighth International Symposium on High-Performance Computer Architecture (HPCA-8), pp. 141-150 I. Kadayif, Mahmut T Kandemir, N. Vijaykrishnan, M. J. Irwin and A. Sivasubramaniam, 2002, "EAC: A Compiler Framework for High-Level Energy Estimation and Optimization", Proceedings of the International Conference on Design Automation and Test in Europe (DATE 2002), pp. 436-442 J. Hu, N. Vijaykrishnan, Mahmut T Kandemir and M. J. Irwin, 2002, "Power-Efficient Trace Caches", Proceedings of International Conference on Design Automation and Test in Europe (DATE 2002), pp. p. 1091 Mahmut T Kandemir, 2002, "A Compiler-based Approach for Improving Intra-iteration Data", Proceedings of the International Conference on Design Automation and Test in Europe (DATE 2002), pp. 984-990 Mahmut T Kandemir and I. Kolcu, 2002, "Reducing Cache Access Energy in Array-Intensive Applications", Proceedings of the International Conference on Design Automation and Test in Europe (DATE 2002), pp. p. 1092 I. Kadayif, N. Orr, Mahmut T Kandemir, N. Vijaykrishnan and M. J. Irwin, 2002, "Instruction Selection/Scheduling Using an Energy-aware Instruction Set Architecture", Proceedings of the Sixth Workshop of Languages, Compilers, and Runtime Systems for Scalable Computers (LCR '02), pp. 1-10 Mahmut T Kandemir, I. Kolcu and I. Kadayif, 2002, "Influence of Loop Optimizations on Energy Consumption of Multi-bank Memory Systems", Proceedings of the International Conference on Compiler Construction (CC '02) (in conjunction with ETAPS 2002), pp. 276-292 Mahmut T Kandemir, 2002, "Data Space Oriented Tiling", Proceedings of the European Symposium on Programming (ESOP '02), 2305, pp. 178-193 Mahmut T Kandemir and A. Choudhary, 2002, "Compiler-directed I/O Optimization", Proceedings of the International Parallel and Distributed Processing Symposium (IPDPS 2002), pp. p. 19 N. E. Crosbie, Mahmut T Kandemir, I. Kolcu, J. Ramanujam and A. Choudhary, 2002, "Strategies for Improving Data Locality in Embedded Applications", Proceedings of the Seventh Asia and South Pacific Design Automation Conference (ASPDAC '02) and the Fifteenth International Conference on VLSI Design (VLSI Design 2002), pp. 631-636 J. Ramanujam, S. Krishnamurthy, J. Hong and Mahmut T Kandemir, 2002, "Address Code and Arithmetic Optimizations for Embedded Systems", Proceedings of the Seventh Asia and South Pacific Design Automation Conference (ASPDAC '02) and the Fifteenth International Conference on VLSI Design (VLSI Design 2002), pp. 619-624 J. Ramanujam, S. Deshpande, J. Hong and Mahmut T Kandemir, 2002, "A Heuristic for Clock Selection in High-level Synthesis", Proceedings of the Seventh Asia and South Pacific Design Automation Conference (ASPDAC '02) and the Fifteenth International Conference on VLSI Design (VLSI Design 2002), pp. 414-419 V. De La Luz, Mahmut T Kandemir, N. Vijaykrishnan, M. J. Irwin, A. Sivasubramaniam and I. Kolcu, 2002, "Compiler-Directed Array Interleaving for Reducing Energy in Multi-Bank Memories", Proceedings of the Seventh Asia and South Pacific Design Automation Conference (ASPDAC '02) and the Fifteenth International Conference on VLSI Design (VLSI Design 2002), pp. 288-293 G. Memik, Mahmut T Kandemir and A. Choudhary, 2002, "Exploiting Inter-file Access Patterns Using Multi-collective I/O", Proceedings of the USENIX Conference on File and Storage Technologies (FAST '02), pp. 245-258 A. Sivasubramaniam, Mahmut T Kandemir, N. Vijaykrishnan and M. J. Iriwn, 2002, "Designing Energy-Efficient Software", Proceedings of the Next Generation Software Workshop, held in conjunction with the International Parallel and Distributed Processing Symposium (IPDPS 2002), pp. p. 176 I. Kadayif, Mahmut T Kandemir, N. Vijaykrishnan and M. J. Irwin, 2002, "Hardware-Software Co-Adaption for Data-Intensive Embedded Applications", Proceedings of the IEEE Computer Society Annual Symposium on VLSI (ISVLSI 2002), pp. 20-25 I. Kadayif, Mahmut T Kandemir, I. Kolcu and G. Chen, 2002, "Locality-Conscious Process Scheduling in Embedded Systems", Proceedings of the ACM/SIGDA/SIGSOFT Tenth International Conference on Hardware/Software Codesign (CODES '02), pp. 193-198 G. Chen, Mahmut T Kandemir, N. Vijaykrishnan, M. J. Irwin and W. Wolf, 2002, "Energy Savings Through Compression in Embedded Java Environments", Proceedings of the ACM/SIGDA/SIGSOFT Tenth International Conference on Hardware/Software Codesign (CODES '02), pp. 163-168 H. Saputra, Mahmut T Kandemir, N. Vijaykrishnan, M. J. Irwin, J. S. Hu, C.-H. Hsu and U. Kremer, 2002, "Energy-Conscious Compilation Based on Voltage Scaling", Proceedings of the ACM SIGPLAN Joint Conference on Languages, Compilers, and Tools for Embedded Systems (LCTES '02) and Software and Compilers for Embedded Systems (SCOPES '02), pp. 2-10 J. S. Hu, Mahmut T Kandemir, N. Vijaykrishnan, M. J. Irwin, H. Saputra and W. Zhang, 2002, "Compiler-Directed Cache Polymorphism", Proceedings of the ACM SIGPLAN Joint Conference on Languages, Compilers, and Tools for Embedded Systems (LCTES '02) and Software and Compilers for Embedded Systems (SCOPES '02), pp. 165-174 I. Kadayif, Mahmut T Kandemir and U. Sezer, 2002, "An Integer Linear Programming Based Approach for Parallelizing Applications in On-chip Multiprocessors", Proceedings of the Thirty-Ninth Design Automation Conference (DAC), pp. 703-708 Mahmut T Kandemir and A. Choudhary, 2002, "Compiler-directed Scratch Pad Memory Hierarchy Design and Management", Proceedings of the Thirty-Ninth Design Automation Conference (DAC), pp. 628-633 V. De La Luz, A. Sivasubramaniam, Mahmut T Kandemir, N. Vijaykrishnan and M. J. Irwin, 2002, "Scheduler Based DRAM Energy Management", Proceedings of the Thirty-Ninth Design Automation Conference (DAC), pp. 697-702 Mahmut T Kandemir, J. Ramanujam and A. Choudhary, 2002, "Exploiting Shared Scratch-pad Memory Space in Embedded Multiprocessor Systems", Proceedings of the Thirty-Ninth Design Automation Conference (DAC), pp. 219-224 V. De La Luz, Mahmut T Kandemir and I. Kolcu, 2002, "Automatic Data Migration for Reducing Energy Consumption in Multi-bank Memory Systems", Proceedings of the Thirty-Ninth Design Automation Conference (DAC), pp. 213-218 I. Kadayif, Mahmut T Kandemir and M. Karakoy, 2002, "An Energy Saving Strategy Based on Adaptive Loop Parallelization", Proceedings of the Thirty-Ninth Design Automation Conference (DAC), pp. 195-200 I. Kadayif, Mahmut T Kandemir and A. Choudhary, 2002, "A Hybrid Strategy Based on Data Distribution and Migration for Optimizing Memory Locality", Proceedings of the Fifteenth Workshop on Languages and Compilers for Parallel Computing (LCPC '02), pp. 1-15 G. Chen, Mahmut T Kandemir, N. Vijaykrishnan, M. J. Irwin and M. Wolczko, 2002, "Adaptive Garbage Collection for Battery-Operated Environments", Proceedings of the Second USENIX JavaTM Virtual Machine Research and Technology Symposium (JVM '02), pp. 1-12 L. Li, I. Kadayif, Y.-F. Tsai, N. Vijaykrishnan, Mahmut T Kandemir, M. J. Irwin and A. Sivasubramaniam, 2002, "Leakage Energy Management in Cache Hierarchies", Proceedings of the Eleventh International Conference on Parallel Architectures and Compilation Techniques (PACT 2002), pp. 131-140 M. Vilayannur, Mahmut T Kandemir and A. Sivasubramaniam, 2002, "Kernel-Level Caching for Optimizing I/O by Exploiting Inter-Application Data Sharing", Proceedings of the IEEE International Conference on Cluster Computing (CLUSTER 2002), pp. 425-432 I. Kadayif and Mahmut T Kandemir, 2002, "Instruction Compression and Encoding for Low-Power Systems", Proceedings of the Fifteenth Annual IEEE International ASIC/SOC Conference (ASIC/SOC '02), pp. 301-305 Mahmut T Kandemir, I. Kolcu and I. Kadayif, 2002, "Experimental Evaluation of a Compiler-based Cache Energy Optimization Strategy", Proceedings of the Fifteenth Annual IEEE International ASIC/SOC Conference (ASIC/SOC '02), pp. 296-300 S. Kim, N. Vijaykrishnan, Mahmut T Kandemir and M. J. Irwin, 2002, "Predictive Precharging for Bitline Leakage Energy Reduction", Proceedings of the Fifteenth Annual IEEE International ASIC/SOC Conference (ASIC/SOC '02), pp. 36-40 J. Zambreno, Mahmut T Kandemir and A. Choudhary, 2002, "Enhancing Compiler Techniques for Memory Energy Optimizations", Proceedings of the Second Embedded Software Conference (EMSOFT '02), pp. 364-381 Mahmut T Kandemir, I. Kadayif, A. Choudhary and J. Z. Zambreno, 2002, "Optimizing Inter-nest Data Locality", Proceedings of the International Conference on Compilers, Architecture, and Synthesis for Embedded Systems (CASES '02), pp. 127-135 W. Xu, A. Parikh, Mahmut T Kandemir and M. J. Irwin, 2002, "Fine-grain Instruction Scheduling for Low Energy", Proceedings of the IEEE Workshop on Signal Processing Systems (SIPS '02), pp. 258-263 P. Unnikrishnan, G. Chen, Mahmut T Kandemir and D. R. Mudgett, 2002, "Dynamic Compilation for Energy Adaption", Proceedings of the International Conference on Computer Aided Design (ICCAD '02), pp. 158-163 I. Kadayif, A. Sivasubramaniam, Mahmut T Kandemir, G. Kandiraju and G. Chen, 2002, "Generating Physical Addresses Directly for Saving Instruction TLB Energy", Proceedings of the Thirty-Fifth Annual International Symposium on Microarchitecture (MICRO-35), pp. 185-196 W. Zhang, J. Hu, V. Degalahal, Mahmut T Kandemir, N. Vijaykrishnan and M. J. Iriwn, 2002, "Compiler-directed Instruction Cache Leakage Optimization", Proceedings of the Thirty-Fifth Annual International Symposium on Microarchitecture (MICRO-35), pp. 208-218 K. Basu, A. Choudhary and Mahmut T Kandemir, 2002, "Power Protocol: Reducing Power Dissipation on Off-chip Data Buses", Proceedings of the Thirty-Fifth Annual International Symposium on Microarchitecture (MICRO-35), pp. 345-355 G. Chen, Mahmut T Kandemir, N. Vijaykrishnan and M. J. Irwin, 2002, "PennBench: A Benchmark Suite for Embedded Java", Proceedings of the Fifth Annual IEEE Workshop on Workload Characterization (WWC '02), pp. 71-80 S. Tomar, N. Vijaykrishnan, Mahmut T Kandemir and R. Shetty, 2001, "Energy Optimization Using Object Co-Location in Java", JOSES: Java Optimization Strategies for Embedded Systems Workshop in conjunction with ETAPS 2001, pp. 9-15 N. Vijaykrishnan, Mahmut T Kandemir, S. Kim, S. Tomar, A. Sivasubramaniam and M. J. Irwin, 2001, "Energy Behavior of Java Applications from the Memory Perspective", Proceedings of the Java Virtual Machine Research & Technology Symposium (JVM '01), pp. 207-220 A. Parikh, Mahmut T Kandemir, N. Vijaykrishnan and M. J. Irwin, 2001, "VLIW Scheduling for Energy and Performance", Proceedings of IEEE Computer Society Annual Workshop on VLSI (WVLSI 2001), pp. 111-117 R. Athavale, N. Vijaykrishnan, Mahmut T Kandemir and M. J. Irwin, 2001, "Influence of Array Allocation Mechanisms on Memory System Energy", Proceedings of the Fifteenth International Parallel and Distributed Processing Symposium (IPDPS 2001), pp. p. 3 Mahmut T Kandemir and I. Kadayif, 2001, "Compiler-directed Selection of Dynamic Memory Layouts", Proceedings of the ACM/SIGDA/SIGSOFT Ninth International Conference on Hardware/Software Codesign (CODES '01), pp. 219-224 J. Ramanujam, J. Hong, Mahmut T Kandemir and A. Narayan, 2001, "Reducing Memory Requirements of Nested Loops for Embedded Systems", Proceedings of the Thirty-Eighth Design Automation Conference (DAC '01), pp. 359-364 Mahmut T Kandemir, J. Ramanujam, M. J. Irwin, V. Narayanan, I. Kadayif and A. Parikh, 2001, "Dynamic Management of Scratch-Pad Memory Space", Proceedings of the Thirty-Eighth Design Automation Conference (DAC '01), pp. 690-695 I. Kadayif, Mahmut T Kandemir, T. Chinoda, N. Vijaykrishnan, M. J. Irwin and A. Sivasubramaniam, 2001, "vEC: Virtual Energy Counters", Proceedings of ACM SIGPLAN/SIGSOFT Workshop on Program Analysis for Software Tools and Engineering (PASTE '01), pp. 28-31 I. Kadayif, Mahmut T Kandemir, N. Vijaykrishnan, M. J. Irwin and J. Ramanujam, 2001, "Morphable Cache Architectures: Potential Benefits", Proceedings of ACM Workshop on Languages, Compilers, and Tools for Embedded Systems (LCTES 2001), pp. 128-137 V. De La Luz, Mahmut T Kandemir, N. Vijaykrishnan, A. Sivasubramaniam and M. J. Irwin, 2001, "DRAM Energy Management Using Software and Hardware Directed Power Mode Control", Proceedings of the Seventh International Symposium on High Performance Computer Architecture (HPCA 2001), pp. 159-169 D. Duarte, N. Vijaykrishnan, M. J. Irwin and Mahmut T Kandemir, 2001, "Formulation and Validation of an Energy Dissipation Model for the Clock Generation Circuitry and Distribution Networks", Proceedings of the Fourteenth International Conference on VLSI Design 2001, pp. 248-253 N. Shenoy, P. Banerjee, A. Choudhary and Mahmut T Kandemir, 2001, "Efficient Synthesis of Array Intensive computations onto FPGA Based Accelerators", Proceedings of the Fourteenth International Conference on VLSI Design 2001, pp. 305-310 Mahmut T Kandemir, 2001, "A Compiler Technique for Improving Whole Program Locality", Proceedings of the Twenty-Eighth Annual ACM Symposium on Principles of Programming Languages (POPL '01), pp. 179-192 Mahmut T Kandemir, 2001, "A Dynamic Locality Optimization Algorithm for Linear Algebra Codes", Proceedings of the Sixteenth ACM Symposium on Applied Computing (SAC 2001), pp. 632-635 Mahmut T Kandemir, 2001, "Array Unification: A Locality Optimization Technique", Proceedings of Tenth International Conference on Compiler Construction (CC 2001), ETAPS 2001, 2027, pp. 259-273 V. De La Luz, Mahmut T Kandemir and U. Sezer, 2001, "Improving Off-chip Memory Energy Behavior in a Multi-processor, Multi-bank Environment", Proceedings of the Workshop on Languages and Compilers for Parallel Computing (LCPC 2001), 2624, pp. 100-114 S. Kim, N. Vijaykrishnan, Mahmut T Kandemir, A. Sivasubramaniam, M. J. Irwin and E. Geethanjali, 2001, "Power-aware Partitioned Cache Architectures", Proceedings of the International Symposium on Low Power Electronics and Design (ISLPED '01), pp. 64-67 Mahmut T Kandemir, J. Ramanujam and U. Sezer, 2001, "Compiler Support for Block Buffering", Proceedings of the International Symposium on Low Power Electronics and Design (ISLPED '01), pp. 76-79 I. Kadayif, Mahmut T Kandemir and U. Sezer, 2001, "Collective Compilation for I/O-Intensive Programs", Proceedings of the Thirteenth IASTED International Conference on Parallel and Distributed Computing and Systems (PDCS '01), pp. 21-26 N. An, A. Sivasubramaniam, N. Vijaykrishnan, Mahmut T Kandemir, M. J. Irwin and S. Gurumurthi, 2001, "Analyzing Energy Behavior of Spatial Access Methods for Memory-Resident Data", Proceedings of the Twenty-Seventh International Conference on Very Large Databases (VLDB 2001), pp. 411-420 J. Hezavei, N. Vijaykrishnan, M. J. Irwin, Mahmut T Kandemir and D. Duarte, 2001, "Input Sensitive High-level Power Analysis", Proceedings of the 2001 IEEE Workshop on SiGNAL Processing Systems (SiPS '01), pp. 149-156 S. Tomar, S. Kim, N. Vijaykrishnan, Mahmut T Kandemir and M. J. Irwin, 2001, "Use of Local Memory for Efficient Java Execution", Proceedings of the International Conference on Computer Design (ICCD 2001), pp. 468-473 H. Y. Kim, N. Vijaykrishnan, Mahmut T Kandemir and M. J. Irwin, 2001, "A Framework for Exploring Energy-Efficient VLIW Architectures", Proceedings of the International Conference on Computer Design (ICCD 2001), pp. 40-45 D. Duarte, N. Vijaykrishnan, M. J. Irwin and Mahmut T Kandemir, 2001, "Evaluating the Impact of Architectural-Level Optimizations on Clock Power", Proceedings of the Fourteenth Annual IEEE International ASIC/SOC Conference, pp. 447-451 Mahmut T Kandemir, I. Kadayif and U. Sezer, 2001, "Exploiting Scratch-pad Memory Using Presburger Formulas", Proceedings of the Fourteenth International Symposium on System Synthesis (ISSS '01), pp. 7-12 Mahmut T Kandemir, U. Sezer and V. De La Luz, 2001, "Improving Memory Energy Using Access Pattern Classification", Proceedings of the International Conference on Computer Aided Design (ICCAD 2001), pp. 201-206 S. Kim, N. Vijaykrishnan, Mahmut T Kandemir and M. J. Irwin, 2001, "Energy-Efficient Instruction Cache Using Page-Based Placement", Proceedings of the International Conference on Compilers, Architectures and Synthesis for Embedded Systems (CASES 2001), pp. 229-237 N. Kirubanandan, A. Sivasubramaniam, N. Vijaykrishnan, Mahmut T Kandemir and M. J. Irwin, 2001, "Memory Energy Characterization and Optimization for the SPEC2000 Benchmarks", Proceedings of the IEEE Fourth Annual Workshop on Workload Characterization (WWC-4) (held in conjunction with MICRO-34), pp. 193-201 W. Zhang, N. Vijaykrishnan, Mahmut T Kandemir, M. J. Irwin, D. Duarte and Y. Tsai, 2001, "Exploiting VLIW Schedule Slacks for Dynamic and Leakage Energy Reduction", Proceedings of the Thirty-Fourth Annual International Symposium on Microarchitecture (MICRO-34), pp. 102-113 A. Parikh, Mahmut T Kandemir, N. Vijaykrishnan, M. J. Iriwn and I. Kadayif, 2001, "Energy-Conscious Instruction Scheduling for VLIW Architectures", Proceedings of the Ninth Workshop on Compilers for Parallel Computers (CPC '01), pp. 1-10 J. Ramanujam, J. Hong, Mahmut T Kandemir and S. Atri, 2001, "Address Register-Oriented Optimizations for Embedded Processors", Proceedings of the Ninth Workshop on Compilers for Parallel Computers (CPC '01), pp. 11-20 G. Esakkimuthu, N. Vijaykrishnan, Mahmut T Kandemir and M. J. Irwin, 2000, "Memory System Energy: Influence of Hardware-Software Optimizations", Proceedings of ISLPED 2000, pp. 244-246 G. Memik, Mahmut T Kandemir and A. Choudhary, 2000, "Design and Evaluation of Smart Disk Architecture for DSS Commercial Workloads", Proceedings of the International Conference on Parallel Processing (ICPP '00), pp. 335-342 Mahmut T Kandemir, N. Vijaykrishnan, M. J. Irwin and H. S. Kim, 2000, "Experimental Evaluation of Energy Behavior of Iteration Space Tiling", Proceedings of the Thirteenth Annual Workshop on Languages and Compilers for Parallel Computing (LCPC '00), 2017, pp. 142-157 S. Atri, J. Ramanujam and Mahmut T Kandemir, 2000, "Improving Offset Assignment for Embedded Processors", Proceedings of the Thirteenth International Workshop on Languages and Compilers for Parallel Computing (LCPC '00), 2017, pp. 158-172 G. Memik, Mahmut T Kandemir, A. Choudhary and V. Taylor, 2000, "April: A Run-Time Library for Tape Resident Data", Proceedings of the Eighth NASA Goddard Conference on Mass Storage Systems and Technologies (held in conjunction with the Seventeenth IEEE Symposium on Mass Storage Systems, pp. 61-74 H. S. Kim, N. Vijaykrishnan, Mahmut T Kandemir and M. J. Irwin, 2000, "Multiple Access Caches: Energy Implications", Proceedings of the IEEE CS Annual Workshop on VLSI (WVLSI 2000), pp. 37-42 A. Parikh, Mahmut T Kandemir, N. Vijaykrishnan and M. J. Irwin, 2000, "Instruction Scheduling Based on Energy and Performance Constraints", Proceedings of the IEEE CS Annual Workshop on VLSI (WVLSI 2000), pp. 53-58 X. Shen, W. Liao, A. Choudhary, G. Memik, Mahmut T Kandemir, S. More, G. Thiruvathukal and A. Singh, 2000, "A Novel Application Development Environment for Large-Scale Scientific Computations", Proceedings of the International Conference on Supercomputing (ICS '00), pp. 274-283 Mahmut T Kandemir, 2000, "A Collective I/O Scheme Based on Compiler Analysis", Proceedings of the Fifth Workshop on Languages, Compilers, and Run-Time Systems for Scalable Computers (LCR 2000), 1915, pp. 1-15 Mahmut T Kandemir, N. Vijaykrishnan, M. J. Irwin and W. Ye, 2000, "Influences of Compiler Optimizations on System Power", Proceedings of Thirty-Seventh Design Automation Conference (DAC '00), pp. 304-307 W. Ye, N. Vijaykrishnan, Mahmut T Kandemir and M. J. Irwin, 2000, "The Design and Use of SimplePower: A Cycle-Accurate Energy Estimation Tooll", Proceedings of Thirty-Seventh Design Automation Conference (DAC '00), pp. 340-345 N. Vijaykrishnan, Mahmut T Kandemir, M. J. Irwin, H. S. Kim and W. Ye, 2000, "Energy-Driven Integrated Hardware-Software Optimization Using SimplePower", Proceedings of the Twenty-Seventh Annual International Symposium on Computer Architecture (ISCA-2000), pp. 91-106 Mahmut T Kandemir, N. Vijaykrishnan, M. J. Irwin and H. S. Kim, 2000, "Towards Energy Aware Iteration Space Tiling", Proceedings of ACM Workshop on Languages, Compilers, and Tools for Embedded Systems (LCTES 2000), 1985, pp. 211-215 G. Memik, Mahmut T Kandemir and A. Choudhary, 2000, "Design and Evaluation of a Compiler-Directed Collective I/O Technique", Proceedings of the Sixth Annual Euro-Par '00 Conference, 1900, pp. 1263-1272 R. Athavale, N. Vijaykrishnan and Mahmut T Kandemir, 2000, "Annotation Based Energy Optimization Using Array Interleaving", Proceedings of the Second Annual Workshop on Hardware Support for Objects and Microarchitectures for Java, pp. 16-20 H. S. Kim, Mahmut T Kandemir, N. Vijaykrishnan and M. J. Irwin, 2000, "Characterization of Memory Energy Behavior", Proceedings of the IEEE Third Annual Workshop on Workload Characterization (WWC 2000), pp. 165-180 M. J. Irwin, Mahmut T Kandemir, N. Vijaykrishnan and A. Sivasubramaniam, 2000, "A Holistic Approach to System Level Energy Optimization", Proceedings of the Tenth International Workshop on Power and Timing Modeling, Optimization and Simulation (PATMOS 2000), 1918, pp. 88-107 Mahmut T Kandemir and I. Ramanujam, 2000, "Data Relation Vectors: A New Abstraction for Data Optimizations", Proceedings of the International Conference on Parallel Architectures and Compilation Techniques (PACT 2000), pp. 227-236 H. S. Kim, M. J. Irwin, N. Vijaykrishnan and Mahmut T Kandemir, 2000, "Effect of Compiler Optimizations on Memory Energy", Proceedings of the IEEE Workshop on Signal Processing Systems (SiPS '00), pp. 663-672 V. De La Luz, Mahmut T Kandemir, N. Vijaykrishnan and M. J. Irwin, 2000, "Energy-Oriented Compiler Optimizations for Partitioned Memory Architectures", Proceedings of the Third International Conference on Compilers, Architectures and Synthesis for Embedded Systems (CASES 2000), pp. 138-147 A. Parikh, Mahmut T Kandemir, N. Vijaykrishnan and M. J. Irwin, 2000, "Energy-Aware Instruction Scheduling", Proceedings of the Seventh International Conference on High Performance Computing (HiPC '00), 1970, pp. 335-344 S. Atri, J. Ramanujam and Mahmut T Kandemir, 2000, "Improving Offset Assignment on Embedded Processors Using Transformations", Proceedings of the Seventh International Conference on High Performance Computing (HiPC '00), 1970, pp. 367-374 Abstracts Amin Jadidi, Mohammad Arjomand, Mahmut T Kandemir and Chitaranjan Das, 2017, "A Study on Performance and Power Efficiency of Dense Non-Volatile Caches in Multi-Core System" Wonil Choi, Mohammad Arjomand, Myoungsoo Jung and Mahmut T Kandemir, 2017, "Exploiting Data Longevity for Enhancing the Lifetime of Flash-based Storage Class Memory" Myoungsoo Jung and Mahmut T Kandemir, 2017, "Sprinkler: Maximizing Resource Utilization in Many-Chip Solid State Disks" Myoungsoo Jung, Jie Zhang, Ahmed H. M. O. Abulila, Miryeong Kwon, Narges Shahidi, John Shalf, Nam Sung Kim and Mahmut T Kandemir, 2017, "SimpleSSD: Modeling Solid State Drives for Holistic System Simulation" Miryeong Kwon, Jie Zhang, Gyuyoung Park, Wonil Choi, David Donofrio, John Shalf, Myoungsoo Jung and Mahmut T Kandemir, 2017, "TraceTracker: Hardware/Software Co-Evaluation for Large-Scale I/O Workload Reconstruction" Other Mahmut T Kandemir, N. Vijaykrishnan, M. J. Irwin, W. Ye and I. Demirkiran, 2000, "Register Relabeling: A Post Compilation Technique for Energy Reduction", pp. G1-G7 Research Projects Honors and Awards one of the most significant papers in 25 years of FPL, 2015 - 2015 Best paper award in PDCCS, 2009 - 2009 Best Paper Award in IPDPS, 2008, 2008 - 2008 Best Paper Award in Compiler Construction Conference, 2002 - 2002 Outstanding Research Award, Penn State Engineering Society (PSES), 2004 Service Service to Penn State: Service to External Organizations: diff --git a/src/data/compiled_bios/1507.txt b/src/data/compiled_bios/1507.txt new file mode 100644 index 0000000000..b276a5c4d1 --- /dev/null +++ b/src/data/compiled_bios/1507.txt @@ -0,0 +1 @@ + George Kesidis Professor Affiliation(s): School of Electrical Engineering and Computer Science Computer Science and Engineering Electrical Engineering 338J Westgate gik2@psu.edu 814-865-9190 Personal or Departmental Website Research Areas: Communications and Networking Interest Areas: Also in W367 Westgate Building. Education B.A.Sc., Electrical Engineering, 1988 MS, Electrical Engineering and Computer Science, 1990 Ph D, Electrical Engineering and Computer Science, 1992 Publications Books , 2011, Encyclopedia of Cryptography and Security, 2nd Ed, Springer George Kesidis, 2010, , Morgan & Claypool Publishers George Kesidis, 2007, An Introduction to Communication Network Analysis, Wiley-IEEE Press, pp. 232 Parts of Book F. Kocak, George Kesidis and S. Fdida, 2013, Network Neutrality with Content Caching and its Effect on Access Pricing, pp. 528 Journal Articles J. Khamse-Ashari, George Kesidis, I. Lambadaris, B. Urgaonkar and Y. Zhao, 2018, "An Efficient and Fair Multi-Resource Allocation Mechanism for Heterogeneous Servers", IEEE Trans. Parallel and Distributed Systems (TPDS) C. Wang, Bhuvan Urgaonkar, R. Birke, A. Gupta, L. Y. Chen, K. Wang and George Kesidis, 2018, "Effective Capacity Modulation as an Explicit Control Knob for Public Cloud Profitability", ACM Transactions on Autonomous and Adaptive Systems A. Leivadeas, M. Falkner, Lambadaris and George Kesidis, 2017, "Optimal Virtualized Network Function Allocation for a SDN Enabled Cloud", Computer Standards and Interfaces Neda Nasiriani, C. Wang, George Kesidis and Bhuvan Urgaonkar, 2016, "On Fair Attribution of Costs to Cloud Tenants Under Peak-based Pricing", ACM TOMPECS John R. Keltner, Christine Fennema-Notestine, Florin Vaida, Dongzhe Wang, Donald R. Franklin, Robert H. Dworkin, Chelsea Sanders, J. Allen McCutchan, Sarah L. Archibald, David J Miller, George Kesidis, Clint Cushman, SungMin Kim, Ian Abramson, Michael J. Taylor, Rebecca J. Theilmann, Michelle D. Julaton, Randy J. Notestine, Stephanie Corkran, Mariana Cherner, Nichole A. Duarte, Terry Alexander, Jessica Robinson-Papp, Benjamin B. Gelman, David M. Simpson, Ann C. Collier, Christina M. Marra, Susan Morgello, Greg Brown, Igor Grant, Hampton Hampton Atkinson, Terry L. Jernigan and Ronald J. Ellis, 2016, "HIV Distal Neuropathic Pain is associated with Smaller Ventral Posterior Cingulate Cortex", Journal of Pain Medicine, 18, (3) V. Shah, G. de Veciana and George Kesidis, 2016, "Routing queries in unstructured P2P networks: achieving throughput optimality subject to query resolution constraints", ACM/IEEE Transactions on Networking Z. Qiu, David J Miller and George Kesidis, 2016, "Semisupervised and active learning with unknown or label-scarce categories", IEEE Transactions on Neural Networks and Learning Systems Z. Qiu, D. Miller and George Kesidis, 2016, "A Maximum Entropy Framework for Semisupervised and Active Learning With Unknown and Label-Scarce Classes", IEEE Transactions on Neural Networks and Learning Systems Y. Jin, George Kesidis, J. Shin, F. Kocak and Y. Yi, 2015, "Impacts of Selfish Behaviors on the Scalability of Hybrid Client #x2013;Server and Peer-to-Peer Caching Systems", IEEE/ACM Transactions on Networking, 23, (6), pp. 1818-1831 Aditya Kurve, David J Miller and George Kesidis, 2015, "Multicategory Crowdsourcing Accounting for Variable Task Difficulty, Worker Skill, and Worker Intention", IEEE Transactions on Knowledge and Data Engineering, 27, (3), pp. 794-809 George Kesidis, Bhuvan Urgaonkar, Yuquan Shan, S. Kamarava and Jrg Liebeherr, 2015, "Network calculus for parallel processing", 43, (2), pp. 48-50 Aditya Kurve, Christopher Griffin, David J Miller and George Kesidis, 2015, "Optimizing cluster formation in super-peer networks via local incentive design", Peer-to-Peer Networking and Applications, 8, (1), pp. 1-21 Yuquan Shan, Jayaram Raghuram, George Kesidis, David J Miller, Anna Scaglione, Jeff Rowe and Karl N. Levitt, 2015, "Generation bidding game with potentially false attestation of flexible demand", EURASIP Journal on Advances in Signal Processing, pp. 29 Zhicong Qiu, David J Miller and George Kesidis, 2015, "Detecting Clusters of Anomalies on Low-Dimensional Feature Subsets with Application to Network Traffic Flow Data", CoRR, abs/1511.01047 Ashraf Al Daoud, George Kesidis and Jrg Liebeherr, 2014, "Zero-Determinant Strategies: A Game-Theoretic Approach for SharingLicensed Spectrum Bands", IEEE Journal on Selected Areas in Communications, 32, (11), pp. 22972308 Ashraf Al Daoud, George Kesidis and Jrg Liebeherr, 2014, "A Game of Uncoordinated Sharing of Private Spectrum Commons", SIGMETRICS Performance Evaluation Review, 42, (3), pp. 42 M. Alizadeh, A. Scaglione, A. Applebaum, George Kesidis and K. Levitt, 2014, "Reduced-Order Load Models for Large Populations of Flexible Appliances", IEEE Transactions on Power Systems, PP, (99), pp. 1-17 JohnR. Keltner, Christine Fennema-Notestine, Florin Vaida, Dongzhe Wang, DonaldR. Franklin, RobertH. Dworkin, Chelsea Sanders, J.Allen McCutchan, SarahL. Archibald, David J Miller, George Kesidis, Clint Cushman, SungMin Kim, Ian Abramson, MichaelJ. Taylor, RebeccaJ. Theilmann, MichelleD. Julaton, RandyJ. Notestine, Stephanie Corkran, Mariana Cherner, NicholeA. Duarte, Terry Alexander, Jessica Robinson-Papp, BenjaminB. Gelman, DavidM. Simpson, AnnC. Collier, ChristinaM. Marra, Susan Morgello, Greg Brown, Igor Grant, J.Hampton Atkinson, TerryL. Jernigan and RonaldJ. Ellis, 2014, "HIV-associated distal neuropathic pain is associated with smaller total cerebral cortical gray matter", Journal of NeuroVirology, 20, (3), pp. 209-218 Mohammad Hassan Lotfi, George Kesidis and Saswati Sarkar, 2014, "Network Non-Neutrality on the Internet: Content Provision Under aSubscription Revenue Model", CoRR, abs/1404.1782 Mohammad Hassan Lotfi, George Kesidis and Saswati Sarkar, 2014, "Network NonNeutrality on the Internet: Content Provision Under a SubscriptionRevenue Model", SIGMETRICS Performance Evaluation Review, 42, (3), pp. 44 George Kesidis, Douglas Mercer, Christopher Griffin and Serge Fdida, 2014, "Roaming charges for customers of cellular-wireless entrant and incumbent providers", CoRR, abs/1409.6281 Mahnoosh Alizadeh, Anna Scaglione, Andy Applebaum, George Kesidis and Karl N. Levitt, 2014, "Scalable and Anonymous Modeling of Large Populations of Flexible Appliances", CoRR, abs/1404.1958 Ashraf Al Daoud, George Kesidis and Jrg Liebeherr, 2014, "An Iterated Game of Uncoordinated Sharing of Licensed Spectrum UsingZero-Determinant Strategies", CoRR, abs/1401.3373 Mahnoosh Alizadeh, Anna Scaglione, Andrea Goldsmith and George Kesidis, 2014, "Capturing Aggregate Flexibility in Demand Response", CoRR, abs/1404.1955 Yuquan Shan, Jayaram Raghuram, George Kesidis, Christopher Griffin, Karl N. Levitt, David J Miller, Jeff Rowe and Anna Scaglione, 2014, "Generation bidding game with flexible demand", CoRR, abs/1408.6689 George Kesidis and Guodong Pang, 2014, "Golden-rule capacity allocation for distributed delay management inpeer-to-peer networks", CoRR, abs/1402.0214 Mohammad Hassan Lotfi, George Kesidis and Saswati Sarkar, 2014, "Market-Based Power Allocation for a Differentially Priced FDMA System", CoRR, abs/1402.3225 Ashraf Al Daoud, George Kesidis and Jrg Liebeherr, 2014, "An Iterated Game of Uncoordinated Sharing of Licensed Spectrum Using Zero-Determinant Strategies", CoRR, abs/1401.3373 George Kesidis and Guodong Pang, 2014, "Golden-rule capacity allocation for distributed delay management in peer-to-peer networks", CoRR, abs/1402.0214 Jayaram Raghuram, David J Miller and George Kesidis, 2014, "Instance-Level Constraint-Based Semisupervised Learning With ImposedSpace-Partitioning", IEEE Transactions on Neural Networks and Learning Systems, 25, (8), pp. 15201537 Mohammad Hassan Lotfi, George Kesidis and Saswati Sarkar, 2014, "Network Non-Neutrality on the Internet: Content Provision Under a Subscription Revenue Model", CoRR, abs/1404.1782 Mohammad Hassan Lotfi, George Kesidis and Saswati Sarkar, 2014, "Network NonNeutrality on the Internet: Content Provision Under a SubscriptionRevenue Model", SIGMETRICS Performance Evaluation Review, 42, (3), pp. 44 Ashraf Al Daoud, George Kesidis and Jrg Liebeherr, 2014, "Zero-Determinant Strategies: A Game-Theoretic Approach for Sharing Licensed Spectrum Bands", IEEE Journal on Selected Areas in Communications, 32, (11), pp. 22972308 B. Urgaonkar, George Kesidis, U. V. Shanbhag and C. Wang, 2013, "Pricing of Service in Clouds: Optimal Response and Strategic Interactions", SIGMETRICS Performance Evaluation Review, 41, (3), pp. 28-30 P. Antoniadis, S. Fdida, C. Griffin, Y. Jin and George Kesidis, 2013, "Distributed Medium Access Control with Conditionally Altruistic Users", EURASIP Journal on Wireless Communications and Networking, pp. 12 A. Kurve, C. Griffin, D. J. Miller and George Kesidis, 2013, "Optimizing Cluster Formation in Super-Peer Networks via Local Incentive Design", Journal of Peer-to-Peer Networking and Applications, pp. 17 A. Kurve, K. Kotobi and George Kesidis, 2013, "An Agent-based Framework for Performance Modeling of an Optimistic Parallel Discrete Event Simulator", Complex Adaptive Systems Modeling, Special Issue on Multidisciplinary Applications and Methods for Agent-based Modeling, pp. 24 E. Altman, P. Bernhard, S. Caron, George Kesidis, J. Rojas-Mora and S. Wong, 2013, "A Model of Network Neutrality with Usage-based Prices", Telecommunication Systems, 52, (2), pp. 601-609 Y. Jin, J. W. Wang and George Kesidis, 2013, "Diffusion Dynamics of Network Technologies with Bounded Rational Users: Aspiration-based Learning", IEEE/ACM Transactions on Networking, 21, (1), pp. 28-40 Mahnoosh Alizadeh, George Kesidis and Anna Scaglione, 2013, "Clustering Consumption in Queues: A Scalable Model for Electric Vehicle Scheduling", CoRR, abs/1304.6753 Christopher Griffin and George Kesidis, 2013, "Good Behavior in a Communications System with Cooperative, Greedy, and Vigilante Players", CoRR, abs/1306.3127 Christopher Griffin, George Kesidis, Panayotis Antoniadis and Serge Fdida, 2013, "Modeling and Control of Rare Segments in BitTorrent with Epidemic Dynamics", CoRR, abs/1306.3160 Aditya Kurve, David J Miller and George Kesidis, 2013, "Multicategory Crowdsourcing Accounting for Plurality in Worker Skill and Intention, Task Difficulty, and Task Heterogeneity", CoRR, abs/1307.7332 David J Miller, Jayaram Raghuram, George Kesidis and Christopher M Collins, 2012, "Improved Generative Semisupervised Learning Based on Finely GrainedComponent-Conditional Class Labeling", Neural Computation, 24, (7), pp. 19261966 George Kesidis and Youngmi Jin, 2012, "Stochastic Loss Aversion for Random Medium Access", CoRR, abs/1201.1776 Youngmi Jin, George Kesidis and Ju Wook Jang, 2012, "A Channel Aware MAC Protocol in an ALOHA Network with Selfish Users", IEEE Journal on Selected Areas in Communications, 30, (1), pp. 128137 Panayotis Antoniadis, Serge Fdida, Christopher Griffin, Youngmi Jin and George Kesidis, 2012, "CSMA Local Area Networking under Dynamic Altruism", CoRR, abs/1204.4847 Y. Aksu, D. J. Miller, George Kesidis, D. C. Bigler and Q. X. Yang, 2011, "An MRI-Derived Definition of MCI-to-AD Conversion for Long-Term, Automatic Prognosis of MCI Patients", PLoS ONE Journal, pp. 14 Guixi Zou, George Kesidis and David J Miller, 2011, "A Flow Classifier with Tamper-Resistant Features and an Evaluationof Its Portability to New Domains", IEEE Journal on Selected Areas in Communications, 29, (7), pp. 14491460 Glenn Carl and George Kesidis, 2011, "Modeling a policy-capable path-vector routing protocol using Jacobiiteration over a path algebra", Computer Networks, 55, (10), pp. 23612379 E. Altman, P. Bernhard, S. Caron, George Kesidis, J. Rojas-Mora and S. Wong, 2011, "A Study of Non-Neural Networks with Usage-based Pricing", Telecommunication Systems Journal, Special Issue on Socio-economic Issues of Next Generation Networks, pp. 7 George Kesidis and Aditya Kurve, 2011, "A Study of Unsupervised Adaptive Crowdsourcing", CoRR, abs/1110.1781 Aditya Kurve, Christopher Griffin, David J Miller and George Kesidis, 2011, "Game Theoretic Iterative Partitioning for Dynamic Load Balancing in Distributed Network Simulation", CoRR, abs/1111.0875 George Kesidis, 2011, "Side-payment profitability and interacting eyeball ISPs under convex demand-response modeling congestion-sensitive applications", CoRR, abs/1110.1779 Yaman Aksu, David J Miller, George Kesidis and Qing Yang, 2010, "Margin-maximizing feature elimination methods for linear and nonlinearkernel-based discriminant functions", IEEE Transactions on Neural Networks, 21, (5), pp. 701717 Yoon-Ho Choi, Lunquan Li, Peng Liu and George Kesidis, 2010, "Worm virulence estimation for the containment of local worm outbreak", Computers & Security, 29, (1), pp. 104123 Yoon-chan Jhi, Peng Liu, Lunquan Li, Qijun Gu, Jiwu Jing and George Kesidis, 2010, "PWC: a proactive worm containment solution for enterprise networks", Security and Communication Networks, 3, (4), pp. 334354 George Kesidis, Youngmi Jin, Amar Prakash Azad and Eitan Altman, 2010, "Stable Nash equilibria of medium access games under symmetric, sociallyaltruistic behavior", CoRR, abs/1003.5324 Eitan Altman, Pierre Bernhard, Stphane Caron, George Kesidis, Julio Rojas-Mora and Sulan Wong, 2010, "A Study of Non-Neutral Networks with Usage-based Prices", CoRR, abs/1006.3894 Eitan Altman, Stphane Caron and George Kesidis, 2010, "Application Neutrality and a Paradox of Side Payments", CoRR, abs/1008.2267 George Kesidis, Athichart Tangpong and Christopher Griffin, 2009, "A sybil-proof referral system based on multiplicative reputation chains", IEEE Communications Letters, 13, (11), pp. 862864 Y.-C. Jhi, P. Liu, L. Li, Q. Jun and George Kesidis, 2009, "A Proactive Worm Containment Solution for Enterprise Networks", Wiley Security and Communication Networks, 2, (3), pp. 457-475 George Kesidis, 2009, "A quantum computer network", CoRR, abs/0908.1597 S. Yi, X. Deng and George Kesidis, 2008, "Technique for Estimating the Number of Active Flows in High-Speed Networks", Electronics and Telecommunications Research Institute Journal (ETRI), 30, (2), pp. 194-204 D. J. Miller, Y. Wang and George Kesidis, 2008, "Emergent Unsupervised Clustering Paradigms with Potential Applications to Bioinformatics", Frontiers in Bioscience, 13, pp. 677-690 Sungwon Yi, Xidong Deng, George Kesidis and Chitaranjan Das, 2008, "A dynamic quarantine scheme for controlling unresponsive TCP sessions", Telecommunication Systems, 37, (4), pp. 169189 George Kesidis, Ihab Hamadeh, Youngmi Jin, Soranun Jiwasurat and Milan Vojnovic, 2008, "A model of the spread of randomly scanning Internet worms that saturate access links", ACM Trans. Model. Comput. Simul., 18, (2) David J Miller, Yanxin Zhang and George Kesidis, 2008, "Decision Aggregation in Distributed Classification by a Transductive Extension of Maximum Entropy/Improved Iterative Scaling", EURASIP J. Adv. Sig. Proc., 2008 Glenn Carl and George Kesidis, 2008, "Large-scale testing of the Internets Border Gateway Protocol (BGP) via topological scale-down", ACM Trans. Model. Comput. Simul., 18, (3) Sungwon Yi, Martin Kappes, Sachin Garg, Xidong Deng, George Kesidis and Chitaranjan Das, 2008, "Proxy-RED: an AQM scheme for wireless local area networks", Wireless Communications and Mobile Computing, 8, (4), pp. 421434 Azin Neishaboori and George Kesidis, 2008, "Wireless mesh networks based on CDMA", Computer Communications, 31, (8), pp. 15131528 Youngmi Jin and George Kesidis, 2007, "Distributed Contention Window Control for Selfish Users in IEEE 802.11 Wireless LANs", IEEE Journal on Selected Areas in Communications, 25, (6), pp. 11131123 Ihab Hamadeh and George Kesidis, 2006, "A taxonomy of internet traceback", IJSN, 1, (1/2), pp. 5461 Youngmi Jin and George Kesidis, 2006, "Charge sensitive and incentive compatible end-to-end window-based control for selfish users", IEEE Journal on Selected Areas in Communications, 24, (5), pp. 952961 Glenn Carl, George Kesidis, Richard R. Brooks and Suresh Rai, 2006, "Denial-of-Service Attack-Detection Techniques", IEEE Internet Computing, 10, (1), pp. 8289 Jisheng Wang, David J Miller and George Kesidis, 2006, "Efficient Mining of the Multidimensional Traffic Cluster Hierarchy for Digesting, Visualization, and Anomaly Identification", IEEE Journal on Selected Areas in Communications, 24, (10), pp. 19291941 J. Wang, D. J. Miller and George Kesidis, 2006, "Efficient Mining of the Multidimensional Traffic Cluster Hierarchy for Digesting, Visualization, and Modeling", IEEE Journal on Selected Areas in Communications, Special Issue on High-Speed Network Security, 24, (10), pp. 1929-1941 P. Jeon and George Kesidis, 2006, "A Pheromone-Aided Multipath QoS Routing Protocol and its Applications in MANETs", Journal of Communications Software and Systems (JCOMSS) R. R. Mazumdar, C. A. Courcoubetis, N. Duffield, George Kesidis, A. Odlyzko, R. Srikant, J. Walrand and P. Cosman, 2006, "Guest Editorial Price-Based Access Control and Economics of Networking", IEEE Journal on Selected Areas in Communications, Special Issue on Network Economics and Pricing, 24, (5), pp. 937-941 D. Fayek, George Kesidis and A. Vannelli, 2006, "Non-linear Game Models for Large-scale Network Bandwidth Management", Journal of Optimization and Engineering, 7, (4), pp. 421-444 Youngmi Jin and George Kesidis, 2005, "Dynamics of usage-priced communication networks: the case of a single bottleneck resource", IEEE/ACM Trans. Netw., 13, (5), pp. 10411053 Soranun Jiwasurat and George Kesidis, 2004, "A Class of Shaped Deficit Round-Robin (SDRR) Schedulers", Telecommunication Systems, 25, (3-4), pp. 173191 Hao Zhu, Guohong Cao, George Kesidis and Chitaranjan Das, 2004, "An adaptive power-conserving service discipline for bluetooth (APCB) wireless networks", Computer Communications, 27, (9), pp. 828839 Ruzena Bajcsy, Terry Benzel, Matt Bishop, Robert Braden, Carla E. Brodley, Sonia Fahmy, Sally Floyd, W. Hardaker, Anthony D. Joseph, George Kesidis, Karl N. Levitt, Robert Lindell, Peng Liu, David J Miller, Russ Mundy, Cliford Neuman, Ron Ostrenga, Vern Paxson, Phillip A. Porras, Catherine Rosenberg, J. Doug Tygar, Shankar Sastry, Daniel F. Sterne and Shyhtsun Felix Wu, 2004, "Cyber defense technology networking and evaluation", Commun. ACM, 47, (3), pp. 5861 Rajesh N. Rao and George Kesidis, 2004, "Purposeful Mobility for Relaying and Surveillance in Mobile Ad Hoc Sensor Networks", IEEE Trans. Mob. Comput., 3, (3), pp. 225232 Youngmi Jin and George Kesidis, 2002, "Equilibria of a noncooperative game for heterogeneous users of an ALOHA network", IEEE Communications Letters, 6, (7), pp. 282284 George Kesidis and Takis Konstantopoulos, 2000, "Extremal shape-controlled traffic patterns in high-speed networks", IEEE Transactions on Communications, 48, (5), pp. 813819 George Kesidis, Kaushik Chakraborty and Leandros Tassiulas, 2000, "Traffic shaping for a loss system", IEEE Communications Letters, 4, (12), pp. 417419 George Kesidis and Takis Konstantopoulos, 2000, "Worst-case performance of a buffer with independent shaped arrival processes", IEEE Communications Letters, 4, (1), pp. 2628 Anthony Hung, Marie-Jos Montpetit and George Kesidis, 1998, "ATM via satellite: A framework and implementation", Wireless Networks, 4, (2), pp. 141153 Gustavo de Veciana and George Kesidis, 1996, "Bandwidth allocation for multiple qualities of service using generalized processor sharing", IEEE Transactions on Information Theory, 42, (1), pp. 268272 Anthony Hung and George Kesidis, 1996, "Bandwidth scheduling for wide-area ATM networks using virtual finishing times", IEEE/ACM Trans. Netw., 4, (1), pp. 4954 Costas Courcoubetis, George Kesidis, Ad Ridder, Jean C. Walrand and Richard R. Weber, 1995, "Admission control and routing in ATM networks using inferences from measured buffer occupancy", IEEE Transactions on Communications, 43, (234), pp. 17781784 George Kesidis, 1995, "Analog optimization with Wongs stochastic neural network", IEEE Transactions on Neural Networks, 6, (1), pp. 258260 Gustavo de Veciana, George Kesidis and Jean C. Walrand, 1995, "Resource Management in Wide-Area ATM Networks Using Effective Bandwiths", IEEE Journal on Selected Areas in Communications, 13, (6), pp. 10811090 George Kesidis, Jean C. Walrand and Cheng-Shang Chang, 1993, "Effective bandwidths for multiclass Markov fluids and other ATM sources", IEEE/ACM Trans. Netw., 1, (4), pp. 424428 George Kesidis and Jean C. Walrand, 1993, "Quick Simulation of ATM Buffers with On-Off Multiclass Markov Fluid Sources", ACM Trans. Model. Comput. Simul., 3, (3), pp. 269276 George Kesidis and Jean C. Walrand, 1993, "Relative entropy between Markov transition rate matrices", IEEE Transactions on Information Theory, 39, (3), pp. 10561057 Jean C. Walrand and George Kesidis, 1991, "Review of Large Deviation Techniques in Decision, Simulation, and Estimation (Bucklew, J.A.; 1990)", IEEE Transactions on Information Theory, 37, (5), pp. 1493 J. Khamse-Ashari, I. Lambadaris, George Kesidis, B. Urgaonkar and Y. Zhao, , "A Cost-Aware Fair Allocation Mechanism For Multi-resource Servers", IEEE Network Letters Conference Proceedings George Kesidis, D. J. Miller and Y. Wang, 2019, "When Not to Classify: Detection of Reverse Engineering Attacks (ADA) on DNN Image Classifiers" George Kesidis, D. J. Miller, X. Hu and Z. Xiang, 2019, "A Mixture Model Based Defense for Data Poisoning Attacks Against Naive Bayes Spam Filters" D. Fleck, George Kesidis, N. Nasiriani, Y. Shan and A. Stavrou, 2018, "Moving-target defense against botnet reconnaissance and an adversarial coupon-collection model" J. Khamse-Ashari, I. Lambadaris, George Kesidis, B. Urgaonkar and Y. Zhao, 2018, "A Cost-Aware Fair Allocation Mechanism For Multi-resource Servers" X. Hu, George Kesidis, B. Heidarpour and Z. Dziong, 2018, "Media delivery with neutral edge cloud, remote cloud and networking" George Kesidis, Y. Shan, D. Fleck, A. Stavrou and T. Konstantopoulos, 2018, "An Adversarial Coupon-Collector Model of Asynchronous Moving-Target Defense Against Botnet Reconnaissance" D. J. Miller, Z. Qiu and George Kesidis, 2018, "Parsimonious Cluster-based Anomaly Detection (PCAD)" D. J. Miller, Y. Wang and George Kesidis, 2018, "AnomalyDetection of Attacks (ADA) on DNN Classifiers at Test Time" Y. Shan, A. Jain, George Kesidis, B. Urgaonkar, J. Khamse-Ashari and I. Lambadaris, 2018, "Scheduling distributed resources in heterogeneous private clouds" N. Nasiriani, George Kesidis and D. Wang, 2018, "Public Cloud Differential Pricing Design Under Provider and Tenants Joint Demand Response" A. Leivadeas, M. Falkner, I. Lambadaris, M. Ibnkahla and George Kesidis, 2018, "Balancing Delay and Cost in Virtual Network Function Placement and Chaining." A. Leivadeas, C.-H. Lung, M. Falkner, I. Lambadaris, M. Ibnkala and George Kesidis, 2018, "Considerations for a Successful Network Service Chain Deployment" George Kesidis, 2018, "Stationary Distribution of a Generalized LRU-MRU Content Cache" Y. Shan, George Kesidis and G. Fleck, 2017, "Cloud-Side Shuffling Defenses against DDoS Attacks on Proxied Multiserver Systems" H. Hu, George Kesidis and S.-J. Baek, 2017, "Regulating Wireless Access Costs for Not Vertically Integrated Content Providers" Y. Shan, George Kesidis, D. Fleck and A. Stavrou, 2017, "Preliminary Study of Fission Defenses Against Low-Volume DoS Attacks on Proxied Multiserver Systems" D. J. Miller, X. Hu, Z. Qiu and George Kesidis, 2017, "Adversarial Learning: A Critical Review and Active Lerning Study" George Kesidis, U. V. Shanbhag, N. Nasiriani and B. Urgaonkar, 2017, "Competition and Peak-Demand Pricing in Clouds Under Tenants' Demand Response" N. Nasiriani, George Kesidis and D. Wang, 2017, "Optimal Peak Shaving Using Batteries at Datacenters: Characterizing the Risks and Benefits" George Kesidis, C. Wang, B. Urgaonkar and N. Nasiriani, 2017, "Using Burstable Instances in the Public Cloud: When, How and Why?" Y Shan, C. L. Prete, George Kesidis and D. J. Miller, 2017, "A Simulation framework for Uneconomic Virtual Bidding in Day-ahead Electricity Markets" j. Khamse-Ashari, George Kesidis, I. Lambadaris, B. Urgaonkar and Y. Zhao, 2017, "Efficient and Fair Scheduling of Placement Constrained Threads on Heterogeneous Multi-Processors" George Kesidis, N. Nasiriani, Y. Shan, B. Urgaonkar and I. Lambadaris, 2017, "Multicommodity Games in Public-cloud Markets Considering Subadditive Demands" C. Wang, B. Urgaonkar, A. Gupta, Q. Liang and George Kesidis, 2017, "Exploiting Spot and Burstable Instances for Improving the Cost-Efficacy of In-Memory Caches on the Public Cloud" Z. Qiu, D. J. Miller and George Kesidis, 2017, "Flow Based Botnet Detection through Semi-supervised Active Learning" Jalal Khamse-Ashari, George Kesidis, Ioannis Lambadaris, Bhuvan Urgaonkar and Y. Zhao, 2016, "Constrained Max-Min Fair Scheduling of Variable-Length Packet-Flows to Multiple Servers", IEEE Aris Leivadeas, Matthias Falkner, Ioannis Lambadaris and George Kesidis, 2016, "Resource Management and Orchestration for a Dynamic Service Chain Steering Model." George Kesidis, Seung Baek and Xinyi Hu, 2016, "CDMA Game between a Vertically Integrated and Third-Party Content Providers" Matthias Falkner, Aris Leivadeas, Ioannis Lambadaris and George Kesidis, 2016, "Performance Analysis of Virtualized Network Functions on Virtualized Systems Architecture.", IEEE Aris Leivadeas, Matthias Falkner, Ioannis Lambadaris and George Kesidis, 2016, "Dynamic Traffic Steering of Multi-Tenant Virtualized Network Functions in SDN enabled Data Centers", IEEE Cheng Wang, Bhuvan Urgaonkar, R. Birke, A. Gupta, L. Chen and George Kesidis, 2016, "Effective capacity modulation as an explicit control knob for public cloud profitability", Institute of Electrical and Electronics Engineers Inc. A. Leivadeas, M. Falkner, I. Lambadaris and George Kesidis, 2016, "Dynamic Virtualized Network Function Allocation in a Multi-Cloud Environment", Institute of Electrical and Electronics Engineers Inc. R Rameshan, R. Birke, L. Navarro, V. Vlassov, Bhuvan Urgaonkar, George Kesidis, M. Schmatz and L. Y. Chen, 2016, "Profiling Memory Vulnerability of Big-data Applications", Institute of Electrical and Electronics Engineers Inc. George Kesidis, Bhuvan Urgaonkar, N. Nasiriani and C. Wang, 2016, "Neutrality in Future Public Clouds: Implications and Challenges", USENIX Association X. Hu, Y. Shan, George Kesidis, S. Sarkar, R. Dhar and S. Fdida, 2016, "Multiperiod subscription pricing for cellular wireless entrants" M. H. Lotfi, S. Sarkar and George Kesidis, 2016, "Migration to a non-neutral Internet: economics modeling and analysis of impact", Institute of Electrical and Electronics Engineers Inc., pp. 511-516 B. Capos, Karl Levitt, Jeff Rowe, Parisa Kianmajd, Chen Nee Chuah and George Kesidis, 2016, "Security and Privacy for Emerging Smart Community Infrastructure" J. Khamse Ashari, George Kesidis, I. Lambadaris and Bhuvan Urgaonkar, 2016, "Max-min fair scheduling of variable-length packet-flows to multiple servers by deficit round-roubin" Y. Shan and George Kesidis, 2016, "Optimal power flow with random wind resources" Neda Nasiriani, Cheng Wang, George Kesidis, Bhuvan Urgaonkar, Lydia Y. Chen and Robert Birke, 2015, "On Fair Attribution of Costs under Peak-Based Pricing to Cloud Tenants", pp. 5160 Zhicong Qiu, David J Miller and George Kesidis, 2015, "Detecting clusters of anomalies on low-dimensional feature subsets with application to network traffic flow data", pp. 16 Cheng Wang, Neda Nasiriani, George Kesidis, Bhuvan Urgaonkar, Qian Wang, Lydia Y. Chen, Aayush Gupta and Robert Birke, 2015, "Recouping Energy Costs From Cloud Tenants: Tenant Demand ResponseAware Pricing Design", pp. 141150 Jianping He, Bin Liu, Xuan Bao, Hongxia Jin and George Kesidis, 2015, "PuPPIes: Privacy Preserving Partial Image Sharing", pp. 758759 George Kesidis, D. Mercer, C. Griffin and S. Fdida, 2015, "Roaming charges for customers of entrant providers" Mahnoosh Alizadeh, Anna Scaglione, Andrea Goldsmith and George Kesidis, 2014, "Capturing Aggregate Flexibility in Demand Response", pp. 6439-6445 George Kesidis and Guodong Pang, 2014, "Tit-for-tat capacity allocation for distributed delay management in peer-to-peer networks" Cheng Wang, Bhuvan Urgaonkar, Qian Wang and George Kesidis, 2014, "A hierarchical demand response framework for data center power cost optimization under real-world electricity pricing" Jayaram Raghuram, George Kesidis, Christopher Griffin, Karl N. Levitt, David J Miller, Jeff Rowe and Anna Scaglione, 2014, "A Bidding Game for Generators in the Presence of Flexible Demand" Cheng Wang, Bhuvan Urgaonkar, George Kesidis, Uday V. Shanbhag and Qian Wang, 2014, "A Case for Virtualizing the Electric Utility in Cloud Data Centers", pp. 7 pages Mohammad Hassan Lotfi, George Kesidis and Saswati Sarkar, 2014, "Market-based power allocation for a differentially priced FDMA system", pp. 10111015 George Kesidis, 2014, "A simple two-sided market model with side-payments and ISP serviceclasses", pp. 595597 Christopher Griffin and George Kesidis, 2014, "Behavior in a shared resource game with cooperative, greedy, and vigilante players", pp. 16 Fatih Kocak, David J Miller and George Kesidis, 2014, "Detecting anomalous latent classes in a batch of network traffic flows", pp. 16 George Kesidis, 2014, "A simple two-sided market model with side-payments and ISP service classes", pp. 595597 C. Wang, B. Urgaonkar, Q. Wang, George Kesidis and A. Sivasubramaniam, 2013, "Data Center Cost Optimization Via Workload Modulation Under Real-World Electricity Pricing", pp. 4 A. Kurve, D. J. Miller and George Kesidis, 2013, "Defeating Tyranny of the Masses in Crowdsourcing: Accounting for Low-Skilled and Adversarial Workers", pp. 140-153 M. Alizadeh, A. Scaglione and George Kesidis, 2013, "Scalable Model Predictive Control of Demand for Ancillary Services", pp. 684-689 H. Lu, G. Pang and George Kesidis, 2013, "Automated Scheduling of Deferrable PEV/PHEV Load by Power-profile Unevenness", pp. 235-240 J. He, D. J. Miller and George Kesidis, 2013, "Latent Interest-Group Discovery and Management by Peer-to-Peer Online Social Networks", pp. 162-167 F. Kocak, George Kesidis, T.-M. Pham and S. Fdida, 2013, "The Effect of Caching on a Model of Content and Access Provider Revenues in Information-centric Networks", pp. 45-50 Y. Jin, Y. Yi, George Kesidis and J. Shin, 2013, "Hybrid Client-Server and Peer-to-Peer Caching Systems with Selfish Peers", pp. 1744-1752 Mahnoosh Alizadeh, George Kesidis and Anna Scaglione, 2013, "Clustering consumption in queues: A scalable model for electric vehicle scheduling", pp. 374378 Cheng Wang, Bhuvan Urgaonkar, Qian Wang, George Kesidis and Anand Sivasubramaniam, 2013, "Data Center Power Cost Optimization via Workload Modulation", pp. 260263 Panayotis Antoniadis, Serge Fdida, Christopher Griffin, Youngmi Jin and George Kesidis, 2012, "Distributed Medium Access Control with Dynamic Altruism", pp. 2942 David J Miller, Fatih Kocak and George Kesidis, 2012, "Sequential anomaly detection in a batch with growing number of tests:Application to network intrusion detection", pp. 16 George Kesidis, 2012, "Side-payment profitability under convex demand-response modeling congestion-sensitiveapplications", pp. 27852789 George Kesidis and Aditya Kurve, 2012, "A study of unsupervised adaptive crowdsourcing", pp. 14381442 G. Pang, George Kesidis and T. Konstantopoulos, 2012, "Avoiding Overages by Deferred Aggregate Demand for PEV Charging on the Smart Grid", pp. 3322-3327 George Kesidis and Youngmi Jin, 2012, "Stochastic Loss Aversion for Random Medium Access", pp. 236247 Aditya Kurve, Guodong Pang, George Kesidis and Gustavo de Veciana, 2012, "Decentralized capacity reallocation for a loss network", pp. 15 Virag Shah, Gustavo de Veciana and George Kesidis, 2012, "Learning to route queries in unstructured P2P networks: Achieving throughput optimality subject to query resolution constraints", pp. 23272335 Jayaram Raghuram, David J Miller and George Kesidis, 2012, "Semisupervised domain adaptation for mixture model based classifiers", pp. 16 A. Kurve, C. Griffin and George Kesidis, 2011, "A Graph Partitioning Game for Distributed Simulation of Networks", pp. 7 Z. Berkay Celik, Jayaram Raghuram, George Kesidis and David J Miller, 2011, "Salting Public Traces with Attack Traffic to Test Flow Classifiers" Aditya Kurve and George Kesidis, 2011, "Sybil Detection via Distributed Sparse Cut Monitoring", pp. 16 Aditya Kurve, Christopher Griffin and George Kesidis, 2011, "Iterative partitioning scheme for distributed simulation of dynamic networks", pp. 9296 C. Griffin, P. Antoniades, George Kesidis and S. Fdida, 2011, "An Epidemic Model of BitTorrent for Acquisition Performance, Content Availability, and Cooperation Incentive", pp. 6 Christopher Griffin, George Kesidis, Panayotis Antoniadis and Serge Fdida, 2011, "An Epidemic Model of Bit Torrent with Control", pp. 16 David J Miller, Chu-Fang Lin, George Kesidis and Christopher M Collins, 2010, "Improved Fine-Grained Component-Conditional Class Labeling with ActiveLearning", pp. 38 George Kesidis, Y. Jin, A. P. Azad and E. Altman, 2010, "Stable Nash Equilibria of Medium Access Games under Symmetric, Socially Altruistic Behavior" S. Caron, George Kesidis and E. Altman, 2010, "Application Neutrality and a Paradox of Side Payments", pp. 6 Eitan Altman, Pierre Bernhard, Stphane Caron, George Kesidis, Julio Rojas-Mora and Sulan Wong, 2010, "A Study of Non-neutral Networks with Usage-Based Prices", pp. 7684 George Kesidis, 2010, "Congestion control alternatives for residential broadband access", pp. 874877 , 2010, "44th Annual Conference on Information Sciences and Systems, CISS 2010, Princeton, NJ, USA, 17-19 March 2010", IEEE , 2010, "Incentives, Overlays, and Economic Traffic Control, Third International Workshop, ETM 2010, Amsterdam, The Netherlands, September 6, 2010. Proceedings", Springer, 6236 George Kesidis, Youngmi Jin, Amar Prakash Azad and Eitan Altman, 2010, "Stable Nash equilibria of ALOHA medium access games under symmetric, socially altruistic behavior", pp. 10711075 , 2010, "The Ninth International Conference on Machine Learning and Applications, ICMLA 2010, Washington, DC, USA, 12-14 December 2010", IEEE Computer Society Athichart Tangpong and George Kesidis, 2010, "File-sharing costs and quality-of-service", pp. 16 , 2010, "IEEE/IFIP Network Operations and Management Symposium, NOMS 2010, 19-23 April 2010, Osaka, Japan", IEEE Y. Zhang, D. J. Miller and George Kesidis, 2009, "Hierarchical Maximum Entropy Modeling for Regression", Proceedings of the IEEE Workshop on Machine Learning for Signal Processing (MLSP 2009), pp. 6 D. J. Miller, C.-F. Lin, George Kesidis and C. Collins, 2009, "Semi-supervised Mixture Modeling with Fine-grained Component-conditional Class Labeling and Transductive Inference", Proceedings of the IEEE Workshop on Machine Learning for Signal Processing (MLSP 2009), pp. 6 , 2009, "1st International Conference on Game Theory for Networks, GAMENETS 2009, Istanbul, Turkey, May 13-15, 2009", IEEE , 2009, "21st International Teletraffic Congress, ITC 2009, Paris, France, September 15-17, 2009", IEEE , 2009, "29th IEEE International Conference on Distributed Computing Systems (ICDCS 2009), 22-26 June 2009, Montreal, Qubec, Canada", IEEE Computer Society Athichart Tangpong and George Kesidis, 2009, "A simple reputation model for BitTorrent-like incentives", pp. 603610 Gunwoo Nam, Pushkar Patankar, Seung-Hwan Lim, Bikash Sharma, George Kesidis and Chitaranjan Das, 2009, "Clock-like Flow Replacement Schemes for Resilient Flow Monitoring", pp. 129136 Gunwoo Nam, Pushkar Patankar, George Kesidis, Chitaranjan Das and Cetin Seren, 2009, "Mass Purging of Stale TCP Flows in Per-Flow Monitoring Systems", pp. 16 , 2009, "Network Control and Optimization, Second Euro-NF Workshop, NET-COOP 2008, Paris, France, September 8-10, 2008. Revised Selected Papers", Springer, 5425 Pushkar Patankar, Gunwoo Nam, George Kesidis, Takis Konstantopoulos and Chitaranjan Das, 2009, "Peer-to-peer unstructured anycasting using correlated swarms", pp. 18 , 2009, "Proceedings of the 18th International Conference on Computer Communications and Networks, IEEE ICCCN 2009, San Francisco, California, August 3-6, 2009", IEEE Athichart Tangpong, George Kesidis, Hung-Yuan Hsu and Ali R. Hurson, 2009, "Robust Sybil Detection for MANETs", pp. 16 Arnab Das, Azin Neishaboori and George Kesidis, 2009, "Wireless mesh networking games", pp. 565574 Y. Zhang, Y. Aksu, George Kesidis and D. J. Miller, 2008, "SVM Feature Selection Applications to Microarray Data", Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2008), pp. 5 Y. Aksu, D. J. Miller and George Kesidis, 2008, "Margin-based Feature Selection Techniques for Support Vector Machines", Proceedings of the 2008 IAPR Workshop on Cognitive Information Processing (CIP 2008), pp. 5 C.-F. Lin, C. Collins, D. J. Miller and George Kesidis, 2008, "Towards a New Automated Segmentation Method for Numerous Tissues in Reference to a Whole-Body 3D Anatomical Template", Proceedings of the Sixteenth Scientific Meeting and Exhibition of the International Society for Magnetic Resonance in Medicine (ISMRM 2008) , 2008, "28th IEEE International Conference on Distributed Computing Systems (ICDCS 2008), 17-20 June 2008, Beijing, China", IEEE Computer Society , 2008, "42nd Annual Conference on Information Sciences and Systems, CISS 2008, Princeton, NJ, USA, 19-21 March 2008", IEEE George Kesidis, Takis Konstantopoulos and Perla Sousi, 2008, "A Stochastic Epidemiological Model and a Deterministic Limit for BitTorrent-Like Peer-to-Peer File-Sharing Networks", pp. 2636 David J Miller, Yanxin Zhang and George Kesidis, 2008, "A transductive extension of maximum entropy/iterative scaling for decision aggregation in distributed classification", pp. 18651868 Pushkar Patankar, Gunwoo Nam, George Kesidis and Chitaranjan Das, 2008, "Exploring Anti-Spam Models in Large Scale VoIP Systems", pp. 8592 , 2008, "IEEE 5th International Conference on Mobile Adhoc and Sensor Systems, MASS 2008, 29 September - 2 October 2008, Atlanta, Georgia, USA", IEEE Computer Society George Kesidis, Arunangshu das and Gustavo de Veciana, 2008, "On flat-rate and usage-based pricing for tiered commodity internet services", pp. 304308 , 2008, "Proceedings of the Global Communications Conference, 2008. GLOBECOM 2008, New Orleans, LA, USA, 30 November - 4 December 2008", IEEE , 2008, "Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2008, March 30 - April 4, 2008, Caesars Palace, Las Vegas, Nevada, USA", IEEE Azin Neishaboori and George Kesidis, 2008, "SINR-sensitive routing in wireless 802.11 mesh networks", pp. 623628 Lunquan Li, Peng Liu and George Kesidis, 2008, "Threshold Smart Walk for the Containment of Local Worm Outbreak", pp. 21242128 Y. Aksu, George Kesidis and D. J. Miller, 2007, "Efficient, Step-wise Optimal Feature Elimination in Support Vector Machines for Huge Features Spaces", Proceedings of the 2007 IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2007) J. Wang, D. J. Miller and George Kesidis, 2007, "New Directions in Covert Worm Modeling Exploiting White-Listing", Proceedings of the 2007 IEEE Sarnoff Symposium Arnab Das, George Kesidis and Venkat Pothamsetty, 2007, "Assessing discreet packet-dropping attacks using nearest-neighbor and path-vector attribution", pp. 444448 , 2007, "DETER Community Workshop on Cyber Security Experimentation and Test 2007, Boston, Ma, USA, August 6-7, 2007", USENIX Association George Kesidis and Azin Neishaboori, 2007, "Distributed Power Control in Multihop Ad Hoc CDMA Networks", pp. 96101 Lunquan Li, Peng Liu, Yoon-chan Jhi and George Kesidis, 2007, "Evaluation of Collaborative Worm Containments on DETER Testbed" , 2007, "Fourth International Conference on Broadband Communications, Networks and Systems, (BROADNETS 2007), 10-14 September 2007, Raleigh, North-Carolina, USA", IEEE Paul Barom Jeon and George Kesidis, 2007, "GeoPPRA: An Energy-Efficient Geocasting Protocol in Mobile Ad Hoc Networks", pp. 10 Sungwon Yi, Byoung-Koo Kim, Jintae Oh, Jongsoo Jang, George Kesidis and Chitaranjan Das, 2007, "Memory-efficient content filtering hardware for high-speed intrusion detection systems", pp. 264269 George Kesidis, Takis Konstantopoulos and Perla Sousi, 2007, "Modeling file-sharing with BitTorrent-like incentives", pp. 13331336 , 2007, "Proceedings of IEEE International Conference on Communications, ICC 2007, Glasgow, Scotland, 24-28 June 2007", IEEE , 2007, "Proceedings of the 2007 ACM Symposium on Applied Computing (SAC), Seoul, Korea, March 11-15, 2007", ACM , 2007, "Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2007, Honolulu, Hawaii, USA, April 15-20, 2007", IEEE Yoon-chan Jhi, Peng Liu, Lunquan Li, Qijun Gu, Jiwu Jing and George Kesidis, 2007, "PWC: A proactive worm containment solution for enterprise networks", pp. 433442 , 2007, "Sixth International Conference on Networking (ICN 2007), 22-28 April 2007, Sainte-Luce, Martinique, France", IEEE Computer Society , 2007, "Third International Conference on Security and Privacy in Communication Networks and the Workshops, SecureComm 2007, Nice, France, 17-21 September, 2007", IEEE , 2006, "3rd Workshop on Visualization for Computer Security (VizSEC 2006), 3 November 2006, Alexandria, Virginia, USA", ACM George Kesidis, Youngmi Jin, B. Mortazavi and T. Konstopoulos, 2006, "An Epidemiological Model for File-Sharing with BitTorrent-like Incentives: The Case of a Fixed Peer Population" , 2006, "Emerging Trends in Information and Communication Security, International Conference, ETRICS 2006, Freiburg, Germany, June 6-9, 2006, Proceedings", Springer, 3995 Rajesh N. Rao and George Kesidis, 2006, "On the Relation Between Capacity and Number of Sinks in an Sensor Network" Glenn Carl, Shashi Phoha, George Kesidis and Bharat Madan, 2006, "Path preserving scale down for validation of internet inter-domain routing protocols", pp. 22102218 , 2006, "Proceedings of IEEE International Conference on Communications, ICC 2006, Istanbul, Turkey, 11-15 June 2006", IEEE , 2006, "Proceedings of the Global Telecommunications Conference, 2006. GLOBECOM 06, San Francisco, CA, USA, 27 November - 1 December 2006", IEEE , 2006, "Proceedings of the Winter Simulation Conference WSC 2006, Monterey, California, USA, December 3-6, 2006", WSC Azin Neishaboori and George Kesidis, 2006, "Routing and Uplink-Downlink Scheduling in Ad Hoc CDMA Networks", pp. 926931 Ihab Hamadeh and George Kesidis, 2006, "Toward a Framework for Forensic Analysis of Scanning Worms", pp. 282297 Lunquan Li, Peng Liu and George Kesidis, 2006, "Visual toolkit for network security experiment specification and data analysis", pp. 714 L. Li, P. Liu and George Kesidis, 2006, "Visual Studio for Network Security Experiment Specification and Data Analysis", Proceedings of the Third International Workshop on Visualization for Computer Security (VizSEC'06), pp. 5 J. Wang, I. Hamadeh, D. J. Miller and George Kesidis, 2006, "Polymorphic Worm Detection and Defense: System Design, Experimental Methodology, and Data Resources", Proceedings of ACM Workshop on Large Scale Attack Defense (LSAD 2006), pp. 8 P. Jeon, R. Rao and George Kesidis, 2006, "An Overlay Framework for QoS Management in Mobile Ad-hoc Networks", Proceedings of the IEEE Sarnoff Symposium on Advances in Wired and Wireless Communications, pp. 5 B. Mortazavi and George Kesidis, 2006, "Cumulative Reputation Systems for Peer-to-Peer Content Distribution", Proceedings of the IEEE Conference on Information Sciences and Systems (CISS-2006), pp. 1546-1552 L. Li, S. Jiwasurat, I. Hamadeh, George Kesidis, P. Liu and C. Newmann, 2006, "Emulating Sequential Scanning Worms on the DETER Testbed", Proceedings of the Second Annual International IEEE/Create-Net Conference on Testbeds and Research Infrastructures - Tridentcom 2006, pp. 5 B. Mortazavi and George Kesidis, 2006, "A Peer-to-peer Content-distribution Game with a Reputation-based Incentive Mechanism", Proceedings of the IEEE Workshop on Information Theory and its Applications P. B. Jeon and George Kesidis, 2005, "Avoiding Malicious Packet Dropping in Ad Hoc Networks using Multipath Routing", Proceedings of the Forty-Third Allerton Conference on Communication, Control, and Computing, pp. 5 S. Jiwasurat, George Kesidis and D. Miller, 2005, "Hierarchical Shaped Deficit Round-Robin (HSDRR) Scheduling", Proceedings of IEEE GLOBECOM 2005, 6 L. Li, S. Jiwasurat, P. Liu and George Kesidis, 2005, "Emulation of Single-packet UDP Scanning Worms in Large Enterprises", Proceedings of the International Teletraffic Congress (ITC-19), pp. 10 , 2005, "19th Workshop on Parallel and Distributed Simulation, PADS 20055, Monterey, CA, USA, June 1-3, 2005", IEEE Computer Society Ihab Hamadeh, Jason Hart, George Kesidis and Venkat Pothamsetty, 2005, "A Preliminary Simulation of the Effect of Scanning Worm Activity on Multicast", pp. 191198 John W. Lockwood, George Kesidis and Changcheng Huang, 2005, "Advances for networks & internet" George Kesidis, Ihab Hamadeh and Soranun Jiwasurat, 2005, "Coupled Kermack-McKendrick Models for Randomly Scanning and Bandwidth-Saturating Internet Worms", pp. 101109 Soranun Jiwasurat, George Kesidis and David J Miller, 2005, "Hierarchical shaped deficit round-robin scheduling", pp. 6 Paul Barom Jeon and George Kesidis, 2005, "Pheromone-aided robust multipath and multipriority routing in wireless MANETs", pp. 106113 , 2005, "Proceedings of the 2nd ACM International Workshop on Performance Evaluation of Wireless Ad Hoc, Sensor, and Ubiquitous Networks, PE-WASUN 2005, Montreal, Quebec, Canada, October 10-13, 2005", ACM , 2005, "Proceedings of the Global Telecommunications Conference, 2005. GLOBECOM 05, St. Louis, Missouri, USA, 28 November - 2 December 2005", IEEE , 2005, "Quality of Service in Multiservice IP Networks, Third International Workshop, QoS-IP 2005, Catania, Italy, February 2-4, 2005, Proceedings", Springer, 3375 Xiang Ji, Hongyuan Zha, John Metzner and George Kesidis, 2004, "Dynamic cluster structure for object detection and tracking in wireless ad-hoc sensor networks", pp. 38073811 , 2004, "IASTED International Conference on Communications, Internet, and Information Technology, November 22 - 24, 2004, St. Thomas, US Virgin Islands", IASTED/ACTA Press Nicholas Weaver, Ihab Hamadeh, George Kesidis and Vern Paxson, 2004, "Preliminary results using scale-down to explore worm dynamics", pp. 6572 , 2004, "Proceedings of IEEE International Conference on Communications, ICC 2004, Paris, France, 20-24 June 2004", IEEE , 2004, "Proceedings of the 2004 ACM Workshop on Rapid Malcode, WORM 2004, Washington, DC, USA, October 29, 2004", ACM Press Xidong Deng, Sungwon Yi, George Kesidis and Chitaranjan Das, 2004, "RL-RED: A flowcontrol mechanism for 802.11-basedwireless ad hoc networks", pp. 369374 Youngmi Jin and George Kesidis, 2004, "TCP windowcontrol in a priced network", pp. 596600 Xidong Deng, Sungwon Yi, George Kesidis and Chitaranjan Das, 2003, "A control theoretic approach for designing adaptive AQM schemes", pp. 29472951 Rajesh N. Rao and George Kesidis, 2003, "Detecting malicious packet dropping using statistically regular traffic patterns in multihop wireless networks that are not bandwidth limited", pp. 29572961 Youngmi Jin and George Kesidis, 2003, "Nash equilibria of a generic networking game with applications to circuit-switched networks" , 2003, "Proceedings IEEE INFOCOM 2003, The 22nd Annual Joint Conference of the IEEE Computer and Communications Societies, San Franciso, CA, USA, March 30 - April 3, 2003", IEEE , 2003, "Proceedings of the Global Telecommunications Conference, 2003. GLOBECOM 03, San Francisco, CA, USA, 1-5 December 2003", IEEE , 2002, "10th International Workshop on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS 2002), 11-16 October 2002, Fort Worth, Texas, USA", IEEE Computer Society Bobby M. Ninan, George Kesidis and Michael Devetsikiotis, 2002, "A Simulation Study of Non-Cooperative Pricing Strategies for Circuit-Switched Optical Networks", pp. 257 Hao Zhu, Guohong Cao, George Kesidis and Chitaranjan Das, 2002, "An adaptive power-conserving service discipline for Bluetooth", pp. 303307 , 2002, "IEEE International Conference on Communications, ICC 2002, April 28 - May 2, 2002, New York City, NY, USA", IEEE , 2002, "Proceedings of the Global Telecommunications Conference, 2002. GLOBECOM 02, Taipei, Taiwan, 17-21 November, 2002", IEEE Sungwon Yi, Xidong Deng, George Kesidis and Chitaranjan Das, 2002, "Providing fairness in DiffServ architecture", pp. 14351439 Xidong Deng, Sungwon Yi, George Kesidis and Chitaranjan Das, 2002, "Stabilized virtual buffer (SVB) - an active queue management scheme for Internet quality-of-service", pp. 16281632 George Kesidis and Leandros Tassiulas, 2001, "General Connection Blocking Bounds and an Implication of Billing for Provisioned Label-Switched Routes in an MPLS Internet Cloud", pp. 339347 , 2001, "Networking - ICN 2001, First International Conference, Colmar, France, July 9-13, 2001 Proceedings, Part 2", Springer, 2094 Anthony Hung, George Kesidis and Nick McKeown, 1998, "ATM input-buffered switches with the guaranteed-rate property", pp. 331335 , 1998, "Proceedings of the Third IEEE Symposium on Computers and Communications (ISCC 1998), June 30 - July 2, 1998, Athens, Greece", IEEE Computer Society George Kesidis and Nick McKeown, 1997, "Output-Buffer ATM Packet Switching for Integrated-Services Communication Networks", pp. 16841688 , 1994, "MASCOTS 94, Proceedings of the Second International Workshop on Modeling, Analysis, and Simulation On Computer and Telecommunication Systems, January 31 - February 2, 1994, Durham, North Carolina, USA", IEEE Computer Society George Kesidis, 1994, "Modeling to Obtain the Effective Bandwidth of a Traffic Source in an ATM Network", pp. 318322 George Kesidis and Jean C. Walrand, 1993, "A Review of Quick Simulation Methods for Queues", pp. 1721 , 1993, "MASCOTS 93, Proceedings of the International Workshop on Modeling, Analysis, and Simulation On Computer and Telecommunication Systems, January 17-20, 1993, La Jolla, San Diego, CA, USA", The Society for Computer Simulation Jianping He, Bin Liu, Deguang Kong, Xuan Bao, Na Wang, Hongxia Jin and George Kesidis, , "PuPPIeS: Privacy Preserving Partial Image Sharing", Institute of Electrical and Electronics Engineers Inc. Technical Reports George Kesidis, C. Griffin and D. Miller, 2013, "A Marketplace Game with Neither Distribution Costs Nor Distribution-capacity Constraints" C. Wang, B. Urgaonkar, Q. Wang, George Kesidis and A. Sivasubramaniam, 2013, "Data Center Cost Optimization via Workload Modulation Under Real-world Electricity Pricing" George Kesidis, K. Kotobi and C. Griffin, 2013, "Distributed ALOHA Game with Partially Rule-based Cooperative, Greedy, and Vigilante Players" J. He, D. Miller and George Kesidis, 2013, "Interest-group Discovery and Management by Peer-to-Peer Online Social Networks" G. Pang and George Kesidis, 2013, "Avoiding Overages by Deferred Aggregate Demand for PEV Charging on the Smart Grid" Y. Aksu, D. J. Miller, George Kesidis, D. Bigler and Q. Yang, 2011, "An MRI-Derived Definition of MCI-to-AD Conversion for Long-Term, Automatic Prognosis of MCI Patients" X. Zang, A. Tangpong, George Kesidis and D. J. Miller, 2011, "Botnet Detection Through Fine Flow Classification" S. Caron and George Kesidis, 2010, "Incentive-Based Energy Consumption Scheduling Algorithms for the Smart Grid" D. Miller, C.-F. Lin, George Kesidis and C. M. Collins, 2010, "Improved Generative Semisupervised Learning Based on Fine-Grained Component-Conditional Class Labeling" Encyclopedia Entries George Kesidis, 2011, "Denial-of-Service Defence",, Encyclopedia of Cryptography and Security, 2nd Ed., 323328, Springer, Berlin Research Projects Honors and Awards Service Service to Penn State: Service to External Organizations: diff --git a/src/data/compiled_bios/1508.txt b/src/data/compiled_bios/1508.txt new file mode 100644 index 0000000000..1c33553141 --- /dev/null +++ b/src/data/compiled_bios/1508.txt @@ -0,0 +1 @@ + Daniel Kifer Associate Professor Affiliation(s): School of Electrical Engineering and Computer Science Computer Science and Engineering W333 Westgate Building duk17@psu.edu 814-863-1186 Research Areas: Education BA, Computer Science & Mathematics, New York University, 2000 MS, Computer Science, Cornell University, 2004 Ph D, Computer Science, Cornell University, 2006 Publications Books Bee-Chung Chen, Daniel Kifer, Kristen LeFevre and Ashwin Machanavajjhala, 2009, Privacy-Preserving Data Publishing, NOW Publishers, pp. 1167 , 2009, Encyclopedia of Database Systems, Springer US Book, Chapters Daniel Kifer, 2009, Change Detection on Streams, pp. 317321 Daniel Kifer, Johannes Gehrke, Cristian Bucila and Walker M. White, 2005, How to Quickly Find a Witness, Springer-Verlag, pp. 216242 Journal Articles Kuai Fang, Chaopeng Shen, Daniel Kifer and Xiao Yang, 2017, "Prolongation of SMAP to Spatiotemporally Seamless Coverage of Continental U.S. Using a Deep Learning Neural Network", Geophysical Research Letters Alexander G. Ororbia II, Daniel Kifer and C. Lee Giles, 2017, "Unifying Adversarial Training Algorithms with Data Gradient Regularization", Neural Computation Hongjian Wang, Daniel Kifer, Corina Graif and Zhenhui Li, 2017, "Non-Stationary Model for Crime Rate Inference Using Modern Urban Data", IEEE Transactions on Big Data A. G. Ororbia II, C. L. Giles and Daniel Kifer, 2016, "Unifying Adversarial Training Algorithms with Flexible Deep Data Gradient Regularization", CoRR Alexander G. Ororbia, II, Clyde L Giles and Daniel Kifer, 2016, "Unifying Adversarial Training Algorithms with Flexible Deep Data Gradient Regularization", Neural Computation, abs/1601.07213 Bing-Rong Lin and Daniel Kifer, 2015, "Information Measures in Statistical Privacy and Data Processing Applications", ACM Transactions on Knowledge Discovery from Data, 9, (4), pp. 28 Ashwin Machanavajjhala and Daniel Kifer, 2015, "Designing statistical privacy for your data", Communications of the ACM, 58, (3), pp. 5867 Yue Wang, Jaewoo Lee and Daniel Kifer, 2015, "Differentially Private Hypothesis Testing, Revisited", CoRR, abs/1511.03376 Bing-Rong Lin and Daniel Kifer, 2014, "On Arbitrage-free Pricing for General Data Queries", PVLDB, 7, (9), pp. 757768 Daniel Kifer and Ashwin Machanavajjhala, 2014, "Pufferfish: A framework for mathematical privacy definitions", ACM Trans. Database Syst., 39, (1), pp. 3 Bing-Ron Lin and Daniel Kifer, 2014, "Towards a systematic analysis of privacy definitions", Journal of Privacy and Confidentiality, 5, (2), pp. 57-109 Bing-Rong Lin and Daniel Kifer, 2012, "A Framework for Extracting Semantic Guarantees from Privacy", CoRR, abs/1208.5443 Ashwin Machanavajjhala, Daniel Kifer, Johannes Gehrke and Muthuramakrishnan Venkitasubramaniam, 2007, "L-diversity: Privacy beyond k-anonymity", TKDD, 1, (1) David J. Martin, Daniel Kifer, Ashwin Machanavajjhala, Johannes Gehrke and Joseph Y. Halpern, 2007, "Worst-Case Background Knowledge for Privacy-Preserving Data Publishing", CoRR, abs/0705.2787 Manuel Calimlim, Jim Cordes, Alan J. Demers, Julia Deneva, Johannes Gehrke, Daniel Kifer, Mirek Riedewald and Jayavel Shanmugasundaram, 2004, "A Vision for PetaByte Data Management and Analyis Services for theArecibo Telescope", IEEE Data Engineering Bulletin, 27, (4), pp. 1220 Manuel Calimlim, Jim Cordes, Alan J. Demers, Julia Deneva, Johannes Gehrke, Daniel Kifer, Mirek Riedewald and Jayavel Shanmugasundaram, 2004, "A Vision for PetaByte Data Management and Analyis Services for the Arecibo Telescope", IEEE Data Eng. Bull., 27, (4), pp. 1220 Cristian Bucila, Johannes Gehrke, Daniel Kifer and Walker M. White, 2003, "DualMiner: A Dual-Pruning Algorithm for Itemsets with Constraints", Data Mining and Knowledge Discovery, 7, (3), pp. 241272 Conference Proceedings Omar Montasser and Daniel Kifer, 2017, "Predicting Demographics of High-Resolution Geographies with Geotagged Tweets" Ryan Rogers and Daniel Kifer, 2017, "A New Class of Private Chi-Square Hypothesis Tests" H. Dafang, X. Yang, Z. Zhou, C. Liang, Alexander G. Ororbia II, Daniel Kifer, and C. Lee Giles, 2017, "Multi-scale FCN with Cascaded Instance Aware Segmentation for Arbitrary Oriented Word Spotting in the Wild" Xiao Yang, Ersin Yumer, Paul Asente, Mike Kraley, Daniel Kifer and C. Lee Giles, 2017, "Learning to Extract Semantic Structure from Documents Using Multimodal Fully Convolutional Neural Networks" Xiao Yang, Dafang He, Zihan Zhou, Daniel Kifer and C. Lee Giles, 2017, "Improving Offline Handwritten Chinese Character Recognition by Iterative Refinement. ICDAR" Dafang He, Scott Cohen, Brian L. Price, Daniel Kifer and C. Lee Giles, 2017, "Multi-Scale MultiTask FCN for Semantic Page Segmentation and Table Detection" Xiao Yang, Dafang He, Zihan Zhou, Daniel Kifer and C. Lee Giles, 2017, "Learning to Read Irregular Text with Attention Mechanisms" Xiao Yang, Dafang He, Wenyi Huang, Alexander Ororbia, Zihan Zhou, Daniel Kifer and C. Lee Giles, 2017, "Smart Library: Identifying Books on Library Shelves Using Supervised Deep Learning for Scene Text Reading" Danfeng Zhang and Daniel Kifer, 2017, "LightDP: towards automating differential privacy proofs" H. Wang, Y. H. Kuo, Daniel Kifer and Z. Li, 2016, "A simple baseline for travel time estimation using large-scale trip data", Association for Computing Machinery W. Huang, D. He, X. Yang, Z. Zhou, Daniel Kifer and C. L. Giles, 2016, "Detecting arbitrary oriented text in the wild with a visual attention model", Association for Computing Machinery H. Wang, Daniel Kifer, C. Graif and Z. Li, 2016, "Crime rate inference with big data", Association for Computing Machinery, 13 Jaewoo Lee, Yue Wang and Daniel Kifer, 2015, "Maximum Likelihood Postprocessing for Differential Privacy under Consistency Constraints", pp. 635644 Daniel Kifer, 2015, "On Estimating the Swapping Rate for Categorical Data", pp. 557566 Daniel Kifer, 2015, "Privacy and the Price of Data", pp. 16 Bing-Rong Lin and Daniel Kifer, 2013, "Geometry of privacy and utility", pp. 281284 Sirinda Palahan, Domagoj Babic, Swarat Chaudhuri and Daniel Kifer, 2013, "Extraction of statistically significant malware behaviors", pp. 6978 Bing-Rong Lin and Daniel Kifer, 2013, "Information preservation in statistical privacy and bayesian estimationof unattributed histograms", pp. 677688 Bing-Rong Lin and Daniel Kifer, 2013, "Information preservation in statistical privacy and bayesian estimation of unattributed histograms", pp. 677688 Daniel Kifer and B.-R. Lin, 2012, "Analyzing Privacy and Utility Using Axioms", Proceedings of the Forty-Sixth Asilomar Conference on Signals, Systems and Computers Daniel Kifer, Adam D Smith and Abhradeep Thakurta, 2012, "Private Convex Optimization for Empirical Risk Minimization with Applicationsto High-dimensional Regression", pp. 25.125.40 Daniel Kifer and Ashwin Machanavajjhala, 2012, "A rigorous and customizable framework for privacy", pp. 7788 , 2012, "COLT 2012 - The 25th Annual Conference on Learning Theory, June 25-27, 2012, Edinburgh, Scotland", JMLR.org, 23 , 2012, "Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers, ACSCC 2012, Pacific Grove, CA, USA, November 4-7, 2012", IEEE , 2012, "Proceedings of the 31st ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems, PODS 2012, Scottsdale, AZ, USA, May 20-24, 2012", ACM Bing-Rong Lin and Daniel Kifer, 2012, "Reasoning about privacy using axioms", pp. 975979 Daniel Kifer, Adam D Smith and Abhradeep Thakurta, 2012, "Private Convex Optimization for Empirical Risk Minimization with Applications to High-dimensional Regression", pp. 25.125.40 Daniel Kifer and Ashwin Machanavajjhala, 2011, "No free lunch in data privacy", pp. 193204 Qi He, Daniel Kifer, Jian Pei, Prasenjit Mitra and Clyde L Giles, 2011, "Citation recommendation without author supervision", pp. 755764 Bi Chen, Leilei Zhu, Daniel Kifer and Dongwon Lee, 2010, "What Is an Opinion About? Exploring Political Standpoints Using OpinionScoring Model" Daniel Kifer and Bing-Rong Lin, 2010, "Towards an axiomatization of statistical privacy and utility", pp. 147158 Qi He, Jian Pei, Daniel Kifer, Prasenjit Mitra and Clyde L Giles, 2010, "Context-aware citation recommendation", pp. 421430 Johannes Gehrke, Daniel Kifer and Ashwin Machanavajjhala, 2010, "Privacy in data publishing", pp. 1213 Bi Chen, Leilei Zhu, Daniel Kifer and Dongwon Lee, 2010, "What Is an Opinion About? Exploring Political Standpoints Using Opinion Scoring Model" Daniel Kifer, 2009, "Attacks on privacy and deFinettis theorem", pp. 127138 , 2009, "Proceedings of the ACM SIGMOD International Conference on Management of Data, SIGMOD 2009, Providence, Rhode Island, USA, June 29 - July 2, 2009", ACM Parag Agrawal, Daniel Kifer and Christopher Olston, 2008, "Scheduling shared scans of large data files", 1, (1), pp. 958969 Ashwin Machanavajjhala, Daniel Kifer, John M. Abowd, Johannes Gehrke and Lars Vilhuber, 2008, "Privacy: Theory meets Practice on the Map", pp. 277286 , 2008, "Proceedings of the 24th International Conference on Data Engineering, ICDE 2008, April 7-12, 2008, Cancn, Mxico", IEEE David J. Martin, Daniel Kifer, Ashwin Machanavajjhala, Johannes Gehrke and Joseph Y. Halpern, 2007, "Worst-Case Background Knowledge for Privacy-Preserving Data Publishing", pp. 126135 , 2007, "Proceedings of the 23rd International Conference on Data Engineering, ICDE 2007, The Marmara Hotel, Istanbul, Turkey, April 15-20, 2007", IEEE Daniel Kifer and Johannes Gehrke, 2006, "Injecting utility into anonymized datasets", pp. 217228 Ashwin Machanavajjhala, Johannes Gehrke, Daniel Kifer and Muthuramakrishnan Venkitasubramaniam, 2006, "l-Diversity: Privacy Beyond k-Anonymity", pp. 24 , 2006, "Proceedings of the 22nd International Conference on Data Engineering, ICDE 2006, 3-8 April 2006, Atlanta, GA, USA", IEEE Computer Society Daniel Kifer, Shai Ben-David and Johannes Gehrke, 2004, "Detecting Change in Data Streams", pp. 180191 Daniel Kifer, Johannes Gehrke, Cristian Bucila and Walker M. White, 2003, "How to quickly find a witness", pp. 272283 Cristian Bucila, Johannes Gehrke, Daniel Kifer and Walker M. White, 2002, "DualMiner: a dual-pruning algorithm for itemsets with constraints", pp. 4251 Manuscripts Daniel Kifer and B.-R. Lin, , "An Axiomatic View of Statistical Privacy and Utility", Journal of Privacy and Confidentiality Research Projects Honors and Awards Service Service to Penn State: Service to External Organizations: diff --git a/src/data/compiled_bios/1509.txt b/src/data/compiled_bios/1509.txt new file mode 100644 index 0000000000..b66a407568 --- /dev/null +++ b/src/data/compiled_bios/1509.txt @@ -0,0 +1 @@ + Aasheesh Kolli Assistant Professor Affiliation(s): School of Electrical Engineering and Computer Science Computer Science and Engineering W301 Westgate akolli@psu.edu 814-865-1582 Personal or Departmental Website Research Areas: diff --git a/src/data/compiled_bios/151.txt b/src/data/compiled_bios/151.txt new file mode 100644 index 0000000000..34153d087c --- /dev/null +++ b/src/data/compiled_bios/151.txt @@ -0,0 +1 @@ + Home Members Projects Software Welcome to Information Processing Lab Home Page. Main research thrust of our current work is in the multimedia signal processing, multimedia networking and machine learning areas. A specific focus is on the large scale smart camera networks analytics and networking. Details about various projects and research can be seen using the links on the left. The research group works under the guidance of Prof. Jenq-Neng Hwang and Prof. Ming-Ting Sun . Information Processing Lab Copyright 2015, Information Processing Laboratory, University of Washington Our research paper, 'Camera Self-Calibration from Tracking of Moving Persons', has won two Finalist Best Student Paper Awards in Track 3 (Image, Speech, Signal and Video Processing) of the 23rd International Conference on Pattern Recognition (ICPR) sponsored by INTEL and IBM. Our research group has achieved the top performance on the benchmark dataset, NLPR_MCT, for multi-camera object tracking ( http://mct.idealtest.org/Result.html ). The corresponding results are published in IEEE Transactions on Circuits and Systems for Video Technology and 2017 IEEE International Conference on Image Processing. Updates Our research group is the Winner of Track 2 (AI City Applications Track) at the 2017 IEEE Smart World NVIDIA AI City Challenge . 29 teams taking on this challenge hail from academic labs around the globeBrazil, China, Greece, India, Italy, Japan, Turkey and the United States. 18 teams from 15 universities, including UC Berkeley, UIUC, SJSU, SUNY, etc., went on to the final demonstration in Fremont, CaliforniaUSA. Our team is selected as the winning team for the value and innovation of our proposed approach, along with the success of our demonstration. The team members include Zheng (Thomas) Tang,Gaoang Wang,Tao Liu,Young-Gun Lee,Adwin Jahn,Xu Liu,Dr. Xiaodong He from Microsoft Research andProf Jenq-Neng Hwang. Here is the link to the report at the official blog of NVIDIA: https://blogs.nvidia.com/blog/2017/08/09/ai-city-challenge/ Acknowledgment: The 3D CMK vehicle tracking framework is developed based on the implementation by the honorable graduates from the Information Processing Lab, Dr. Kuan-Hui Lee and Dr. Chun-Te Chu . This work also cannot be done without the assistance of our undergraduate researchers, including Lingli (Fiona) Zeng, Aotian Zheng, Yan Kuo, Kevin Nguyen, Jingwen Sun and Chien-Jen (David) Hwang. The team from the Information Processing Lab representing the University of Washington is the winner of Track 1 (Traffic Flow Analysis) and the winner of Track 3 (Multi-camera Vehicle Detection and Reidentification ) at the AI City Challenge Workshop at CVPR 2018 . There have been 22 teams from all over the world submitting there results. Our team achieves rank #1 in both of the leaderboards of Track 1 and Track 3. The team members include Zheng (Thomas) Tang,Gaoang Wang,Hao Xiao, Aotian Zheng andProf Jenq-Neng Hwang. The published paper can be accessed here . The source code can be downloaded here . Our story has been reported by the Department of Electrical Engineering here . The links to view our demo videos are as follows: demo of vehicle tracking and speed estimation and demo of vehicle re-identification . Acknowledgment: We would like to thank many people who helped in the improvement of the performance of the proposed system: Chen Bai, Ge Bao, Jiarui Cai, Bill Cheung-Daihe, Tianhang Gao, Yijin Lee, Ching Lu, Shucong Ou, Ningyang Peng, Mingxin Ren, Jingwen Sun, Yi-Ting Tsai, Yun Wu, Chumei Yang, Xiao Tan, Hao Yang, and Jiacheng Zhu. diff --git a/src/data/compiled_bios/1510.txt b/src/data/compiled_bios/1510.txt new file mode 100644 index 0000000000..efcc53531b --- /dev/null +++ b/src/data/compiled_bios/1510.txt @@ -0,0 +1 @@ + Thomas La Porta William E. Leonhard Endowed Chair and Director of EECS Affiliation(s): School of Electrical Engineering and Computer Science Computer Science and Engineering Electrical Engineering 207 Electrical Engineering West tfl12@psu.edu 814-865-6725 Personal or Departmental Website Research Areas: Interest Areas: Mobility management, mobile data systems including networks, protocols, and applications, signaling and control for telecommunication networks, security for wireless networks. Education BE, Electrical Engineering, The Cooper Union, 1986 ME, Electrical Engineering, The Cooper Union, 1987 Ph D, Electrical Engineering, Columbia University, 1992 Publications Books P. Traynor, P. McDaniel and Thomas F Laporta, 2008, Security for Telecommunication Networks, Springer, pp. 182 S. Phoha, Thomas F Laporta and C. Griffin, 2006, Sensor Network Operations, Wiley-InterScience, IEEE Press Book, Chapters K. Kotapati, P. Liu and Thomas F Laporta, 2009, Cellular Network Security, Elsevier, pp. Ch. 12, 183-204 G. Cao, G. Wang, Thomas F Laporta and W. Zhang, 2005, Distributed Algorithms for Deploying Mobile Sensors, CRC Press, pp. 427-440 S. Thuel, L. Salgarelli, R. Ramjee and Thomas F Laporta, 2002, Dynamic Configuration of Mobile Devices for Wireless Internet Access, Kluwer Academic Publishers, pp. Ch. 10 Journal Articles D. Tootaghaj, N. Bartolini, H. Khamfroush, T. He, N. Ray Chaudhuri and Thomas F Laporta, 2018, "On Progressive Network Recovery from Massive Failures under Uncertainty", IEEE Transactions on Network and Service Management, 15, (4), pp. 1249-1263 S. Achleitner, N. Bartolini, T. He, Thomas F Laporta and D. Tootaghaj, 2018, "Fast Network Configuration in Software Defined Networks", IEEE Transactions on Network and Service Management, pp. 1249-1263 D. Z. Tootaghaj, T. He and Thomas F Laporta, 2018, "Parsimonious Tomography: Optimizing Cost-Identifiability Trade-off for Probing-based Network Monitoring", ACM Performance Evaluation Review (PER), 45, (2), pp. 107-110 S. Rager, E. Ciftioglu, R. Ramanathan, Thomas F Laporta and R. Govindan, 2018, "Scalability and Satisfiability of Quality-of-Information in Wireless Networks", IEEE/ACM Transactions on Networking, 26, (1), pp. 398-411 N. Bartolini, S. Ciavarella, Thomas F Laporta and S. Silvestri, 2017, "On Critical Service Recovery After Massive Network Failures", IEEE/ACM Transactions on Networking T. A. Dao, A. K. Roy-Chowdhury, H. Madhyastha, S. Krishnamurthy and Thomas F Laporta, 2017, "Managing Redundant Content in Bandwidth Constrained Wireless Networks", IEEE/ACM Transactions on Networking N. Bartolini, T. Calamoneri, S. Ciavarella, Thomas F Laporta and S. Silvestri, 2017, "Autonomous Mobile Sensor Placement in Complex Environments", ACM Transactions on Autonomous and Adaptive Systems H. Khamfroush, N. Bartolini, Thomas F Laporta, A. Swami and J. Dillman, 2017, "On Propagation of Phenomena in Interdependent Networks", IEEE Transactions on Network Science and Engineering Z. Lu, X. Sun, W. Wen, G. Cao and Thomas F Laporta, 2017, "Algorithms and Applications for Community Detection in Weighted Networks", IEEE Transactions on Parallel and Distributed Systems S. Rager, E. Ciftioglu, R. Ramanathan, Thomas F Laporta and R. Govindan, 2017, "Scalability and Satisfiability of Quality-of-Information in Wireless Networks", IEEE/ACM Transactions on Networking S. Achleitner, Thomas F Laporta, P. McDaniel, S. Sugrim, S. V. Krishnamurthy and R. Chada, 2017, "Deceiving Network Reconnaissance Using SDN-based Virtual Topologies", IEEE Transactions on Network and Service Management Z. Lu, G. Cao and Thomas F Laporta, 2017, "TeamPhone: Networking Smart Phone for Disaster Recovery", IEEE Transaction on Mobile Computing N. Bartolini, S. Ciavarella, S. Silvestri and Thomas F Laporta, 2016, "On the vulnerabilities of voronoi-based approaches to mobile sensor deployment", IEEE Transactions on Mobile Computing, 15, (12) M Lin, S. Silvestri, N Bartolini and Thomas F Laporta, 2016, "On Selective Activation in Dense Femtocell Networks", IEEE Transactions on Wireless Communications, pp. 7018-7029 A. Atya, I. Broustis, S. Singh, D. Syrivelis, S. Krishnamurthy and Thomas F Laporta, 2016, "A Policy Aware Enforcement Logic for Appropriately Invoking Network Coding", IEEE/ACM Transactions on Networking, 24, (4) R. Ramanathan, E. Ciftcioglu, A. Samanta, R. Urgaonkar and Thomas F Laporta, 2016, "Symptotics: a framework for estimating the scalability of real-world wireless networks", Wireless Networks, pp. 1-21 Srikar Tati, Scott Rager, Bongjun Ko, Guohong Cao, Ananthram Swami and Thomas F Laporta, 2016, "netCSI: A Generic Fault Diagnosis Algorithm for Large-Scale Failures in Computer Networks", IEEE Trans. Dependable Sec. Computing, 13, (3), pp. 355368 Zongqing Lu, Xiao Sun, Yonggang Wen, Guohong Cao and Thomas F Laporta, 2015, "Algorithms and Applications for Community Detection in Weighted Networks", IEEE Transactions on Parallel and Distributed System, 26, (11), pp. 29162926 Thomas F Laporta, Brett Holbert, Srikar Tati, Simone Silvestri and Ananthram Swami, 2015, "Network Topology Inference with Partial Information", IEEE Transactions on Network and Service Management, 12, (3), pp. 406419 A. O. F. Atya, I. Broustis, S. Singh, D. Syrivelis, S. V. Krishnamurthy and Thomas F Laporta, 2015, "A Policy-Aware Enforcement Logic for Appropriately Invoking Network Coding", IEEE/ACM Transactions on Networking, PP, (99), pp. 1-1 George Papageorgiou, Shailendra Singh, Srikanth V. Krishnamurthy, Ramesh Govindan and Thomas F Laporta, 2015, "A Distortion-Resistant Routing Framework for Video Traffic in Wireless Multihop Networks", IEEE/ACM Transactions on Networking, 23, (2), pp. 412425 Lu An Tang, Xiao Yu, Quanquan Gu, Jiawei Han, Guofei Jiang, Alice Leung and Thomas F Laporta, 2015, "A Framework of Mining Trajectories from Untrustworthy Data in Cyber-Physical System", ACM Transactions on Knowledge Discovery from Data, 9, (3), pp. 16:116:35 S. Tati, B.-J. Ko, G. Cao, A. Swami and Thomas F Laporta, 2015, "Adaptive Algorithms for Diagnosing Large-Scale Failures in Computer Networks", IEEE Transactions on Parallel and Distributed Systems, 26, (3), pp. 646656 Yosef Alayev, Amotz Bar-Noy, Matthew P. Johnson, Lance M. Kaplan and Thomas F Laporta, 2015, "You cant get there from here: Sensor scheduling with refocusing delays", ACM/SPringer Wireless Networks Journal, 21, (5), pp. 1683-1698 Ertugrul Necdet Ciftcioglu, Antonios Michaloliakos, Aylin Yener, Konstantinos Psounis, Thomas F Laporta and Ramesh Govindan, 2014, "Operational information content sum capacity: From theory to practice", Computer Networks, 75, pp. 117 Novella Bartolini, Gian Carlo Bongiovanni, Thomas F Laporta and Simone Silvestri, 2014, "On the Vulnerabilities of the Virtual Force Approach to Mobile SensorDeployment", IEEE Trans. Mob. Comput., 13, (11), pp. 25922605 Qiang Zheng, Guohong Cao, Thomas F Laporta and Ananthram Swami, 2014, "Cross-Layer Approach for Minimizing Routing Disruption in IP Networks", IEEE Trans. Parallel Distrib. Syst., 25, (7), pp. 16591669 Yosef Alayev, Fangfei Chen, Yun Hou, Matthew P. Johnson, Amotz Bar-Noy, Thomas F Laporta and Kin K. Leung, 2014, "Throughput Maximization in Mobile WSN Scheduling With Power Controland Rate Selection", IEEE Transactions on Wireless Communications, 13, (7), pp. 40664079 Thomas F Laporta, Chiara Petrioli, Cynthia A. Phillips and Dora Spenza, 2014, "Sensor Mission Assignment in Rechargeable Wireless Sensor Networks", TOSN, 10, (4), pp. 60 Thomas F Laporta, Chiara Petrioli and Dora Spenza, 2014, "Sensor-mission assignment in wireless sensor networks with energyharvesting", ACM Transactions on Sensor Networks, 10, (4) Chao Zhang, Jiawei Han, Lidan Shou, Jiajun Lu and Thomas F Laporta, 2014, "Splitter: Mining Fine-Grained Sequential Patterns in Semantic Trajectories", PVLDB, 7, (9), pp. 769780 James Edwards, Ahmed Bahjat, Yurong Jiang, Trevor Cook and Thomas F Laporta, 2014, "Quality of information-aware mobile applications", Pervasive and Mobile Computing, 11, pp. 216228 Qinghua Li, Guohong Cao and Thomas F Laporta, 2014, "Efficient and Privacy-Aware Data Aggregation in Mobile Sensing", IEEE Trans. Dependable Sec. Comput., 11, (2), pp. 115129 Novella Bartolini, Giancarlo Bongiovanni, Thomas F Laporta and Simone Silvestri, 2014, "On the Vulnerabilities of the Virtual Force Approach to Mobile Sensor Deployment", IEEE Transactions on Mobile Computing, 13, (11), pp. 25922605 Yosef Alayev, Fangfei Chen, Yun Hou, Matthew P. Johnson, Amotz Bar-Noy, Thomas F Laporta and Kin K. Leung, 2014, "Throughput Maximization in Mobile WSN Scheduling With Power Control and Rate Selection", IEEE Transactions on Wireless Communications, 13, (7), pp. 40664079 L.-A. Tang, Y. Zheng, J. Yuan, J. Han, A. Leung, W.-C. Peng and Thomas F Laporta, 2013, "A Framework of Traveling Companion Discovery on Trajectory Data Streams", ACM Transactions on Intelligent Systems and Technology, 5, (1), pp. 34 P. Basu, R. Gibbens, Thomas F Laporta, C.-Y. Lin, A. Swami and E. Yoneki, 2013, "Guest Editorial: Network Science", IEEE Journal on Selected Areas in Communications, 31, (6), pp. 993-996 T.-S. Kim, I. Broustis, S. Vural, D. Syrivelis, S. Singh, S. V. Krishnamurthy and Thomas F Laporta, 2013, "Realizing the Benefits of Wireless Network Coding in Multirate Settings", IEEE/ACM Transactions on Networking, 21, (3), pp. 950-962 L. Tang, X. Yu, S. Kim, Q. Gu, J. Han, A. Leung and Thomas F Laporta, 2013, "Trustworthiness Analysis of Sensor Data in Cyber-physical Systems", Journal of Computer and System Sciences, 79, (3), pp. 383-401 S. Ray, Thomas F Laporta, P. Basu, G. Cao, S. Schaffer and D. Dent, 2013, "Metric Driven Mobility Modeling in Tactical Networks", Journal of Defense Modeling and Simulation, 10, (2), pp. 161-179 W. Gao, G. Cao, Thomas F Laporta and J. Han, 2013, "Exploiting Transient Social Contact Patterns for Data Forwarding in Delay Tolerant Networks", IEEE Transactions on Mobile Computing, 12, (1), pp. 151-165 F. Chen*, M. Johnson, A. Bar-Noy, I. Fermin and Thomas F Laporta, 2012, "Proactive Data Dissemination to Mission Sites", Wireless Networks, 18, (7), pp. 749-762 S. Eswaran*, J. Edwards*, A. Misra and Thomas F Laporta, 2012, "Adaptive In-Network Processing for Bandwidth and Energy Constrained Mission-Oriented Multi-hop Wireless Networks", IEEE Transactions on Mobile Computing, 11, (9), pp. 1484-1498 S. Eswaran*, A. Misra and Thomas F Laporta, 2012, "Control-theoretic Utility Maximization in Multihop Wireless Networks under Mission Dynamics", IEEE/ACM Transactions on Networking, 20, (4), pp. 1082-1095 N. Bartolini, T. Calamoneri, Thomas F Laporta and C. Petriolil, 2012, "Sensor Activation and Radius Adaptation (SARA) in Heterogeneous Sensor Networks", ACM Transactions on Sensor Networks, 8, (3), pp. 24 M. J. Neely, S. Rager* and Thomas F Laporta, 2012, "Max Weight Learning Algorithms for Scheduling in Unknown Environments", IEEE Transactions on Automatic Control, 57, (5), pp. 1179-1191 S. Eswaran*, A. Misra, F. Bergamasachi and Thomas F Laporta, 2012, "Utility-based Bandwidth Adaptation in Mission-Oriented Wireless Sensor Networks", ACM Transactions on Sensor Networks, 8, (2), pp. 17 F. Chen*, M. Johnson, Y. Alayev, A. Bar-Noy and Thomas F Laporta, 2012, "Who, When, Where: Timeslot Assignment to Mobile Clients", IEEE Transactions on Mobile Computing, 11, (1), pp. 73-85 L. Tang, X. Yu, S. Kim, J. Han, W.-C. Peng, Y. Sun, A. Leung and Thomas F Laporta, 2012, "Multidimensional Sensor Data Analysis in Cyber-Physical System: An Atypical Cube Approach", International Journal of Distributed Sensor Networks, pp. 19 Y. Alayev, A. Bar-Noy and Thomas F Laporta, 2011, "Broadcasting Info-Pages to Sensors: Efficiency vs. Energy Conservation", ACM/Springer Wireless Networks Journal, 17, (6), pp. 1529-1542 R. Kumar and Thomas F Laporta, 2011, "Cooperative Channelization in Wireless Networks with Network Coding", IEEE Transactions on Processing and Distributed Systems, 22, (7), pp. 1073-1084 N. Bartolini, T. Calamoneri, Thomas F Laporta and S. Silvestri, 2011, "Autonomous Deployment of Heterogeneous Mobile Sensors", IEEE Transactions on Mobile Computing, 10, (6), pp. 753-766 P. Traynor, C. Amrutkar, V. Rao, T. Jaeger, P. McDaniel and Thomas F Laporta, 2011, "From Mobile Phones to Responsible Devices", Journal of Security and Communication Networks (SCN), 4, (6), pp. 719-726 Thomas F Laporta, G. Maselli and C. Petrioli, 2011, "Anti-collision Protocols for Single-Reader RFID Systems: Temporal Analysis and Optimization", IEEE Transactions on Mobile Computing, 10, (2), pp. 267-279 G. Wang, M. J. Irwin, H. Fu, P. Berman, W. Zhang and Thomas F Laporta, 2011, "Optimizing Sensor Movement Planning for Energy Efficiency", ACM Transactions on Sensor Networks, 7, (4), pp. 17 H. Rowaihy, M. P. Johnson, D. Pizzacaro, A. Bar-Noy, A. Preece and Thomas F Laporta, 2010, "Sensor Mission Assignment in Constrained Environments", IEEE Transactions on Parallel and Distributed Systems (TPDS), 21, (11), pp. 1692-1705 A. Bar-Noy, T. Brown, M. P. Johnson, Thomas F Laporta, O. Liu and H. Rowaihy, 2010, "Sensor-Mission Assignment in Wireless Sensor Networks", ACM Transactions on Sensor Networks, 6, (4), pp. 33 K. Kotapati, P. Liu and Thomas F Laporta, 2009, "Evaluating MAPSec by Marking Attack Graphs", Kluwer/ACM Wireless Networks Journal, 15, (8), pp. 1042-1058 A. Venkateswaran, V. Sarangan, Thomas F Laporta and R. Acharya, 2009, "A Mobility-Prediction-Based Relay Deployment Framework for Conserving Power in MANETs", IEEE Transactions on Mobile Computing, 8, (6), pp. 750-765 H . Choi, W. Enck, J. Shin, P. McDaniel and Thomas F Laporta, 2009, "ASR: Anonymous and Secure Reporting of Traffic Forwarding Activity in Mobile Ad Hoc Networks", ACM Wireless Networks (WINET), 15, (4), pp. 525-539 Y. Sun, Thomas F Laporta and P. Kermani, 2009, "", A Flexible Privacy-Enhanced Location Based Services System Framework and Practice, 8, (3), pp. 304-321 P. Traynor, W. Enck, P. McDaniel and Thomas F Laporta, 2009, "Mitigating Attacks on Open Functionality in SMS-Capable Cellular Networks", IEEE/ACM Transactions on Networking, 17, (1), pp. 40-53 S. Eswaran, M. P. Johnson, A. Misra and Thomas F Laporta, 2009, "Distributed Utility-Based Rate Adaptation Protocols for Prioritized, Quasi-Elastic Flows", ACM SIGMOBILE Mobile Computing and Communications Review (M2CR), 13, (1), pp. 2-13 P. Traynor, W. Enck, P. McDaniel and Thomas F Laporta, 2008, "Exploiting Open Functionality in SMS-Capable Cellular Networks", Journal of Computer Security, 16, (6), pp. 689-793 H. Choi, H. Song, G. Cao and Thomas F Laporta, 2008, "Mobile Multi-Layered IPSec", ACM/Springer Wireless Networks (WINET), 14, (6), pp. 895-913 R. Kumar, R. Crepaldi, H. Rowaihy, A. Harris, G. Cao, F. Anjum, M. Zorzi and Thomas F Laporta, 2008, "Mitigating Performance Degradation in Congested Sensor Networks", IEEE Transactions on Mobile Computing, 7, (6), pp. 682-697 D. Tonesi, Y. Sun, L. Salgarelli and Thomas F Laporta, 2008, "Evaluation of Signaling Loads in 3GPP Networks", IEEE Wireless Communications, 15, (1), pp. 92-100 J. Shin, R. Kumar, P. Kishen and Thomas F Laporta, 2007, "Channelization for Dynamic Multi-Frequency, Multi-Hop Wireless Cellular Networks", Ad Hoc Networks Journal, 5, (8), pp. 1284-1302 W. Zhang, G. Cao and Thomas F Laporta, 2007, "Dynamic Proxy Tree-Based Data Dissemination Schemes for Wireless Sensor Networks", ACM/Kluwer Wireless Networks (WINET), 13, (5), pp. 583-595 K. Kotapati, P. Liu and Thomas F Laporta, 2007, "Dependency Relation Based Vulnerability Analysis of 3G Networks: Can It Identify Unforeseen Cascading Attacks?", Telecommunications Systems, Special Issue on Security, Privacy and Trust for Beyond 3G Networks, 35, (3-4), pp. 99-122 W. Zhang, G. Cao and Thomas F Laporta, 2007, "Data Dissemination with Ring-Based Index for Wireless Sensor Networks", IEEE Transactions on Mobile Computing, 6, (7), pp. 832-847 P. Traynor, R. Kumar, H. Choi, G. Cao, S. Zhu and Thomas F Laporta, 2007, "Efficient Hybrid Security Mechanisms for Heterogeneous Sensor Networks", IEEE Transactions on Mobile Computing, 6, (6), pp. 663-677 G. Wang, G. Cao, P. Berman and Thomas F Laporta, 2007, "Bidding Protocols for Deploying Mobile Sensors", IEEE Transactions on Mobile Computing, 6, (5), pp. 563-576 J. Shin, K. H. Lee, A. Yener and Thomas F Laporta, 2006, "On-demand Diversity Wireless Relay Networks", ACM Journal of Mobile Networks and Applications, 11, (4), pp. 593-611 G. Wang, G. Cao and Thomas F Laporta, 2006, "Movement Assisted Sensor Deployment", IEEE Transactions on Mobile Computing, 5, (6), pp. 640-652 T. Yashiro and Thomas F Laporta, 2005, "Nomadic Agent System: Infrastructureless Location Based Service System", Journal of Information Processing Society of Japan, 46, (12), pp. 2952-2962 K. Murakami, O. Haase, J. Shin and Thomas F Laporta, 2004, "Mobility Management Alternatives for Migration to Mobile Internet Session-Based Services", EEE Journal on Selected Areas of Communications, 22, (5), pp. 818-833 O. Haase, K. Murakami and Thomas F Laporta, 2003, "Unified Mobility Manager - Enabling Efficient SIP/UMTS Mobile Network Control", IEEE Wireless Communications, 10, (4), pp. 66-75 R. Ramjee, K. Varadhan, L. Salgarelli, S. Thuel and Thomas F Laporta, 2002, "HAWAII: A Domain Based Approach for Mobility in Wide-Area Wireless Networks", IEEE/ACM Transactions on Networking, 10, (3), pp. 396-410 R. Ramjee, L. Li, Thomas F Laporta and S. Kasera, 2002, "IP Paging Service for Mobile Hosts", ACM/Kluwer Journal on Wireless Networks, 8, (5), pp. 427-441 J. Lennox, K. Murakami, M. Karaul and Thomas F Laporta, 2001, "Interworking Internet Telephony and Wireless Telecommunications Networks", ACM Computer Communications Review, 31, (5), pp. 25-36 R. Ramjee, Thomas F Laporta, J. Kurose and D. Towsley, 2000, "User Agent Migration Policies in Wireless Networks", IEEE Journal of Selected Areas of Communication, 18, (11), pp. 2465-2489 Z. Lu, X. Sun, T. Xiao and Thomas F Laporta, , "Cooperative Data Offload in Opportunistic Networks: From Mobile Devices to Infrastructure", IEEE/ACM Transactions on Networking A. Atya, Z. Qian, S. Krishnamurthy, Thomas F Laporta, P. McDaniel and L. Marvel, , "Catch Me If You Can: A Closer Look at Malicious Co-Residency on the Cloud", IEEE/ACM Transactions on Networking Z. Lu, K. Chan, S. Pu and Thomas F Laporta, , "CrowdVision: A Computing Platform for Video Crowdprocessing Using Deep Learning", IEEE Transactions on Mobile Computing D. Tootaghaj, N. Bartolini, H. Khamfroush, T. He, N. Ray Chaudhuri and Thomas F Laporta, , "Mitigation and Recovery from Cascading Failures in Inter-dependency Networks Under Uncertainty", IEEE Transactions on Control of Network Systems Srikar Tati, Scott Rager, Bong-Jun Ko, Guohong Cao, Ananthram Swami and Thomas F Laporta, , "netCSI: A Generic Fault Diagnosis Algorithm for Large-Scale Failuresin Computer Networks", IEEE Transactions on Dependable and Secure Computing G. Papageorgiou, S. Singh, S. Krishnamurthy, S. Govindan and Thomas F Laporta, , "A Distortion Resistant Routing Framework for Video Traffic in Wireless Multi-hop Networks", IEEE/ACM Transactions on Networking Conference Proceedings G. Bent, G. de Mel, R. Ganti, Thomas F Laporta, G. Pearson, T. Pham, S. Stein, A. Swami, L. Tassiulas and I. Taylor, 2018, "Learning Service Semantics for Self-organization in Distributed Environments: Concepts and Research Directions" V. Walls, H. Kwon, Thomas F Laporta, S. Stein and L. Tassiulas, 2018, "On the Design of Resource Allocation Algorithms for Low-Latency Video Analytics" H. Alhulayyil, K. Khalil, S. Krishnamurthy, D. Cansever, Thomas F Laporta and A. Swami, 2018, "On the Detection of Adaptive Side-channel Attackers in Cloud Environments" M. Ochal, S. Stein, F. Bi, M. Cook, E. Gerding, T. He and Thomas F Laporta, 2018, "Online Mechanism Design using Reinforcement Learning for Cloud Resource Allocation" S. Saghaian, Thomas F Laporta, T. Jaeger, B. Celik and P. McDaniel, 2018, "Mission-oriented Security Model, Incorporating Security Risk, Cost and Payout" T. He, H. Khamfroush, S. Wang, S. Stein and Thomas F Laporta, 2018, "It's Hard to Share: Joint Service Placement and Request Scheduling in Edge Clouds with Sharable and Non-sharable Resources" Y. Cao, A. Atya, S. Singh, Z. Qian, S. Krishnamurthy, Thomas F Laporta, P. Krishnamurthy and L. Marvel, 2018, "A Framework for MIMO-based Packet Header Obfuscation" Z. Lu, K. Chan and Thomas F Laporta, 2018, "A Computing Platform for Video Crowdprocessing Using Deep Learning" D. Z. Tootaghaj, T. He and Thomas F Laporta, 2017, "Parsimonious Tomography: Optimizing Cost-Identifiability Trade-off for Probing-based Network Monitoring" Z. Lu, S. Rallapalli, K. Chan and Thomas F Laporta, 2017, "Modeling Resource Requirements of Convolutional Neural Networks on Mobile Devices" J. Acquaviva, M. Mahon, B. Einfalt and Thomas F Laporta, 2017, "Optimal Cyber-Defense Strategies for Advanced Persistent Threats: A Game Theoretical Analysis" J. Edwards, Rebecca Passonneau, T. Cassidy and Thomas F Laporta, 2017, "Resource Allocations for Pragamatically-assisted Quality of Information-Aware Networking" D. Tootaghaj, H. Khamfroush, N. Bartolini, S. Ciaverelli, S. Hayes and Thomas F Laporta, 2017, "Network Recovery from Massive Failures and Uncertain Knowledge of Failures" S. Achleitner, Thomas F Laporta, T. Jaeger and P. McDaniel, 2017, "Adversarial Network Forensics in Software Defined Networking" S. Achleitner, Thomas F Laporta, Patrick D McDaniel, S. Sugrim, S. V. Krishnamurthy, R. Chadha and R, 2016, "Cyber deception: Virtual networks to defend insider reconnaissance", Association for Computing Machinery, Inc, pp. 57-68 Stefan Achleitner, Thomas F Laporta, Srikanth V. Krishnamurthy and Victor S. Quizhpi, 2016, "Network coding efficiency in the presence of an intermittent backhaul network", IEEE, pp. 16 S. Rager, E. Ciftioglu, R. Ramanathan, Thomas F Laporta and R. Govindan, 2016, "Scalability and Satisfiability of Quality of Information in Wireless Networks" Z. Lu, X. Sun and Thomas F Laporta, 2016, "Cooperative Data Offloading in Opportunistic Mobile Networks" M. Lin, N. Bartolini and Thomas F Laporta, 2016, "Power Adjustment and Scheduling in OFDMA Femtocell Networks" Zongqing Lu, Guohong Cao and Thomas F Laporta, 2016, "Networking smartphones for disaster recovery", IEEE Computer Society, pp. 19 James Edwards, Taylor Cassidy, Geeth de Mel and Thomas F Laporta, 2016, "Integrating quality of information with pragmatic assistance", IEEE, pp. 17 N. Felemban, Z. , Thomas F Laporta and K. Chan, 2016, "Video processing of complex activity detection in resource-constrained networks", IEEE, USA Z. Lu, K. Chan, R. Urgaonkar and Thomas F Laporta, 2016, "On-demand Video Processing in Wireless Networks" T. He, N. N. Bartolini, H. H. Khamfroush, I. Kim, L. Ma and Thomas F Laporta, 2016, "Service Placement for Detecting and Localizing Failures Using End-to-End Observations" N. Bartolini, S. Ciavarella, Thomas F Laporta and S. Silvestri, 2016, "Network Recovery After Massive Failures" Nan Hu, Thomas F Laporta and Novella Bartolini, 2015, "Self-Adaptive Resource Allocation for Event Monitoring with Uncertainty in Sensor Networks", IEEE, pp. 370378 Michael Lin, Simone Silvestri, Novella Bartolini and Thomas F Laporta, 2015, "Energy-Efficient Selective Activation in Femtocell Networks", IEEE, pp. 361369 Simone Silvestri, Brett Holbert, P. Novotny, Thomas F Laporta, A. Wolf and Ananthram Swami, 2015, "Inferring Network Topologies in MANETs Applied to Service Redeployment", IEEE, pp. 18 Bhaskar Prabhala and Thomas F Laporta, 2015, "Spatial and temporal considerations in next place predictions", IEEE, pp. 390395 Manisha Mukherjee, James Edwards, Heesung Kwon and Thomas F Laporta, 2015, "Quality of information-aware real-time traffic flow analysis and reporting", IEEE, pp. 6974 B. Holbert, Srikar Tati, Simone Silvestri, Thomas F Laporta and Ananthram Swami, 2015, "Network topology inference with partial path information", IEEE Computer Society, pp. 796802 Tuan Dao, Amit K. Roy-Chowdhury, Harsha V. Madhyastha, Srikanth V. Krishnamurthy and Thomas F Laporta, 2014, "Managing Redundant Content in Bandwidth Constrained Wireless Networks", ACM, pp. 349362 Scott T. Rager, Ertugrul Necdet Ciftcioglu and Thomas F Laporta, 2014, "Performance analysis of practical distributed backpressure protocols", IEEE, pp. 18 Novella Bartolini, Gian Carlo Bongiovanni, Thomas F Laporta, Simone Silvestri and F. Vincenti, 2014, "Voronoi-based deployment of mobile sensors in the face of adversaries", IEEE, pp. 532537 Scott T. Rager, Ertugrul Necdet Ciftcioglu, Thomas F Laporta, Alice Leung, William Dron, Ram Ramanathan and John P. Hancock, 2014, "Data Selection for Maximum Coverage in Sensor Networks with Cost Constraints", IEEE, pp. 209216 Srikar Tati, Simone Silvestri, T. He and Thomas F Laporta, 2014, "Robust Network Tomography in the Presence of Failures", IEEE Computer Society, pp. 481492 Bhaskar Prabhala, Jingjing Wang, Budhaditya Deb, Thomas F Laporta and Jiawei Han, 2014, "Leveraging periodicity in human mobility for next place prediction", IEEE, pp. 26652670 Ertugrul Necdet Ciftcioglu, Antonios Michaloliakos, Konstantinos Psounis, Thomas F Laporta and Aylin Yener, 2014, "Power minimization with quality-of-information outages", IEEE, pp. 16551660 Michael Lin and Thomas F Laporta, 2014, "Energy-aware enterprise femtocell deployment", IEEE, pp. 23122317 G. Papageorgiou, J. Gasparis, S. V. Krishnamurthy, R. Govindan and Thomas F Laporta, 2013, "Resource Thrifty Secure Mobile Video Transfer on Open WiFi Networks", Proceedings of the Ninth ACM International Conference on Emerging Network Experiments and Technologies (CoNext 2013), pp. 333-344 B. Holbert, S. Tati, S. Silvestri, A. Swami and Thomas F Laporta, 2013, "Effects of Partial Topology on Fault Diagnosis", Proceedings of the Military Communications Conference (MILCOM 2013), pp. 725-730 E. Ciftioglu, R. Ramanathan and Thomas F Laporta, 2013, "Scalability Analysis of Tactical Mobility Patterns", Proceedings of the Military Communications Conference (MILCOM 2013), pp. 1888-1893 N. Hu, D. Pizzocaro, M. P. Johnson, Thomas F Laporta and A. Preece, 2013, "Resource Allocation with Non-Deterministic Demands and Profits", Proceedings of the Tenth IEEE International Conference on Mobile Ad-hoc and Sensor Systems (MASS 2013), pp. 145-153 M. Lin and Thomas F Laporta, 2013, "Utility-based Femtocell Pilot Management", Proceedings of the Twenty-Fourth Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC 2013), pp. 2051-2056 L. Tang, X. Yu, S. Kim, Q. Gu, J. Han, A. Leung and Thomas F Laporta, 2013, "Mining Lines in the Sand: On Trajectory Discovery from Untrustworthy Data in Cyber-Physical System", Proceedings of the Nineteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2013), pp. 410-418 Y. Yang, N. Chawla, P. Basu, B. Prabhala and Thomas F Laporta, 2013, "Link Prediction in Human Mobility Networks", Proceedings of Advances in Social Networks Analysis and Mining (ASONAM 2013), pp. 380-387 N. Bartolini, G. Bongiovanni, Thomas F Laporta and S. Silvestri, 2013, "On the Security Vulnerabilities of the Virtual Force Approach to Mobile Sensor Deployment", Proceedings of the Thirty-Second IEEE International Conference on Computer Communications (INFOCOM 2013), pp. 2418-2426 A. F. Atya, I. Broustis, S. Singh, D. Syrivelis, S. V. Krishnamurthy and Thomas F Laporta, 2013, "Wireless Network Coding: Deciding When to Flip the Switch", Proceedings of the IEEE INFOCOM Mini-Conference, pp. 260-264 Z. Feng, G. Papageoriou, S. V. Krishnamurthy, R. Govindan and Thomas F Laporta, 2013, "Trading Off Distortion for Delay for Video Transmissions in Wireless Networks", Proceedings of the IEEE INFOCOM Mini-Conference, pp. 1878-1886 R. Ramanathan, A. Samanta and Thomas F Laporta, 2012, "Symptotics: A Framework for Analyzing the Scalability of Real-World Wireless Networks", Proceedings of the Ninth ACM Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, and Ubiquitous Networks (PE-WASUN 2012), pp. 31-38 K. Y. Kim*, P. McDaniel and Thomas F Laporta, 2012, "A Detection Mechanism for SMS Flooding Attacks in Cellular Networks", Proceedings of the Eighth International Conference on Security and Privacy in Communication Networks (SECURECOMM 2012), pp. 18 Q. Zheng, G. Cao, Thomas F Laporta and A. Swami, 2012, "Optimal Recovery from Large-Scale Failures in IP Networks", Proceedings of the Twenty-Third IEEE International Conference on Distributed Computing Systems (ICDCS 2012), pp. 295-304 F. Chen*, M. Johnson, A. Bar-Noy and Thomas F Laporta, 2012, "Convergecast with Aggregatable Data Classes", Proceedings of the Ninth Annual IEEE Communications Society Conference on Sensor, Mesh, and Ad Hoc Communications and Networks (SECON 2012), pp. 148-156 S. Tati*, B.-J. Ko, G. Cao, A. Swami and Thomas F Laporta, 2012, "Adaptive Algorithms for Diagnosing Large-Scale Failures in Computer Networks", Proceedings of the IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2012), pp. 12 M.-R. Ra, B. Liu, Thomas F Laporta and R. Govindan, 2012, "Medusa: A Programming Framework for Crowd-Sensing Applications", Proceedings of the Tenth International Conference on Mobile Systems, Applications, and Services (MobiSys 2012), pp. 337-350 Y. Alayev, F. Chen*, Y. Hou, M. Johnson, A. Bar-Noy, Thomas F Laporta and K. Leung, 2012, "Throughput Maximization in Mobile WSN Scheduling with Power Control and Rate Selection", Proceedings of the Eighth IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS 2012), pp. 33-40 F. Chen*, Thomas F Laporta and M. Srivastava, 2012, "Resource Allocation with Stochastic Demands", Proceedings of the Eighth IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS 2012), pp. 257-264 F. Chen*, Thomas F Laporta, D. Pizzocaro, A. Preece and M. Srivastava, 2012, "A System Architecture for Exploiting Mission Information Requirement and Resource Allocation", Proceedings of the SPIE Defense, Security, and Sensing 2012 L. Tang, Q. Gu, X. Yu, J. Han, Thomas F Laporta, A. Leung, T. Abdelzaher and L. Kaplan, 2012, "IntruMine: Mining Intruders in Untrustworthy Data of Cyber-Physical Systems", Proceedings of the Twelfth SIAM International Conference on Data Mining (SDM 2012), pp. 600-611 F. Chen*, K. Guo, J. Lin and Thomas F Laporta, 2012, "Intra-cloud Lightning: Building CDNs in the Cloud", Proceedings of the Thirty-First Annual International Conference on Computer Communications (INFOCOM 2012), pp. 433-441 A. Bahjat*, Y. Jiang, T. Cook and Thomas F Laporta, 2012, "Quality of Information Functions for Networked Applications", Proceedings of the Tenth Annual IEEE International Conference on Pervasive Computing and Communications (PerCom 2012) Workshops, pp. 2-7 G. Papageorgiou, S. Singh, S. V. Krishnamurthy, R. Govindan and Thomas F Laporta, 2012, "Distortion-Resilient Routing for Video Flows in Wireless Multi-hop Networks", Proceedings of the Twentieth IEEE International Conference on Network Protocols (ICNP 2012), pp. 10 M. Lin* and Thomas F Laporta, 2012, "Dynamic Interference Management with Femotcells", Proceedings of the Twenty-First IEEE International Conference on Computer Communication Networks (ICCCN 2012), pp. 9 N. De Coppi, J. Ning, G. Papageorgiou, M. Zorzi, S. Krishnamurthy and Thomas F Laporta, 2012, "Network Coding-Aware Queue Management in Multi-Rate Wireless Networks", Proceedings of the Twenty-First IEEE International Conference on Computer Communication Networks (ICCCN 2012), pp. 7 S. Rager, E. Ciftcoglu, A. Yener, Thomas F Laporta and M. J. Neely, 2011, "Distributed Backpressure Protocols with Limited State Feedback", Proceedings of the IEEE Military Communications Conference (MILCOM 2011), pp. 693-698 Y. Zhang, S. Ray, G. Cao and Thomas F Laporta, 2011, "Data Replication in Mobile Tactical Networks", Proceedings of the IEEE Military Communications Conference (MILCOM 2011), pp. 797-803 Q. Zheng, G. Cao, A. Swami and Thomas F Laporta, 2011, "Detecting and Localizing Large-Scale Router Failures Using Active Probes", Proceedings of the IEEE Military Communications Conference (MILCOM 2011), pp. 1170-1175 X. Zhuo, Q. Li, G. Cao, Y. Dai, B. Szymanksi and Thomas F Laporta, 2011, "Social-Based Cooperative Caching in DTNs: A Contact Duration Aware Approach", Proceedings of the Eighth IEEE International Conference on Mobile and Ad Hoc Sensor Systems (MASS 2011), pp. 92-101 S. Tati, S. Rager, B. J. Ko, G. Cao, A. Swami and Thomas F Laporta, 2011, "netCSI: A Generic Fault Diagnosis Algorithm for Large Scale Failures in Computer Networks", Procceedings of the Thirtieth International Symposium on Reliable and Distributed Systems (SRDS 2011) A. Asterjadhi, R. Kumar, Thomas F Laporta and M. Zorzi, 2011, "Broadcasting in Multi Channel Wireless Networks in the Presence of Adversaries", Proceedings of the Eighth Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON 2011), pp. 377-385 Thomas F Laporta, C. Petrioli and D. Spenza, 2011, "Sensor-mission Assignment in Wireless Sensor Networks with Energy Harvesting", Proceedings of the Eighth Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON 2011), pp. 413-421 R. Kumar, S. Eswaran and Thomas F Laporta, 2011, "End-to-End Rate Selection for Opportunistic Reception in Multi-Rate Wireless Network", Proceedings of the Eighth Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON 2011), pp. 601-609 D. Pizzocaro, A. Preece, F. Chen, Thomas F Laporta and A. Bar-Noy, 2011, "A Distributed Architecture for Heterogeneous Multi-Sensor Task Allocation", Proceedings of the Seventh IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS 2011), pp. 8 F. Chen, D. Pizzacaro, M. Johnson, A. Preece, A. Bar-Noy and Thomas F Laporta, 2011, "Broadcast Scheduling with Data Bundles", Proceedings of the SPIE Defense, Security, and Sensing 2011, pp. 8 M. Johnson, Thomas F Laporta, A. Yener, R. Govindan, K. Spounis and R. Ramanthan, 2011, "Operational Information Content Capacity", Proceedings of the SPIE Defense, Security, and Sensing 2011, pp. 7 A. Bar-Noy, G. Cirincione, R. Govindan, S. Krishnamurthy, Thomas F Laporta, P. Mohapatra, M. Neely and A. Yener, 2011, "Quality of Information-Aware Networking for Tactical Military Networks", Proceedings of the Third International Workshop on Information Quality and Quality of Service for Pervasive Computing (IQ2S 2011), pp. 2-7 R. Kumar, G. Maselli, C. Petrioli and Thomas F Laporta, 2011, "Interference Cancellation-based RFID Tag Identification", Proceedings of the Fourteenth ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWiM 2011), pp. 111-118 P. Traynor, J. Schiffman and Thomas F Laporta, 2010, "Constructing Secure Localization Systems with Adjustable Granularity Using Commodity Hardware", Proceedings of the IEEE Global Telecommunications Conference (GLOBECOM 2010), pp. 6 A. Bhajat, G. Cao, B. Krishnamachari and Thomas F Laporta, 2010, "Leveraging Social Networks for Key Distribution to Secure Communication in Tactical Military Networks", Proceedings of MILCOM 2010 G. Cirincione, R. Govindan, S. Krishnamurthy, Thomas F Laporta and P. Mohapatra, 2010, "Impact of Security Properties on the Quality of Information in Tactical Military Networks", Proceedings of MILCOM 2010 Y. Alayev, A. Bar-Noy, M. P. Johnson, L. M. Kaplan and Thomas F Laporta, 2010, "You Can't Get There from Here: Sensor Scheduling with Refocusing Delays", Proceedings of the IEEE Seventh International Conference on Mobile Adhoc and Sensor Systems (MASS 2010), pp. 462-471 R. Kumar, S. Tati, F. de Mello, S. V. Krishnamurthy and Thomas F Laporta, 2010, "Network Coding Aware Rate Selection in Multi-rate IEEE 802.1", Proceedings of the Eighteenth IEEE International Conference on Network Protocols (ICNP 2010) M. Lin, H. Choi and Thomas F Laporta, 2010, "Network Integration in 3G and 4G Wireless Networks", Proceedings of the Fourth IEEE International Workshop on Wireless Mesh and Ad Hoc Networks (WiMAN 2010) S. Eswaran, A. Misra, Thomas F Laporta and F. Bergamasachi, 2010, "Implementation of Utility Based Resource Optimization Protocols on ITA Sensor Fabric", Proceedings of the SPIE Defense Security and Sensing, Defense Transformations and Net-centric Systems F. Chen, M. Johnson, A. Bar-Noy and Thomas F Laporta, 2010, "Cooperative Data Dissemination to Mission Sites", Proceedings of the SPIE Defense Security and Sensing Conference 2010 N. Bartolini, T. Calamoneri, Thomas F Laporta and S. Silvestri, 2010, "Mobile Sensor Deployment in Unknown Fields", Proceedings of the IEEE INFOCOM Mini-Symposium on Hardware and Sensors, pp. 471-475 T.-S. Kim, S. Vural, I. Broustis, D. Syrivelis, S. V. Krishnamurthy and Thomas F Laporta, 2010, "A Framework for Joint Network Coding and Transmission Rate Control in Wireless Networks", Proceedings of the IEEE Conference on Computer Communication (INFOCOM 2010), pp. 2937-2945 P. Traynor, M. Lin, M. Ongtang, V. Rao, T. Jaeger, Thomas F Laporta and P. McDaniel, 2009, "On Cellular Botnets: Measuring the Impact of Malicious Devices on a Cellular Network Core", Proceedings of the Sixteenth ACM Conference on Computer and Communications Security (CCS 2009), pp. 223-234 N. Bartolini, T. Calamoneri, Thomas F Laporta, A. Massini and S. Silvestri, 2009, "Autonomous Deployment of Heterogeneous Mobile Sensors", Proceedings of the Seventeenth Annual IEEE International Conference on Network Protocols (ICNP 2009), pp. 42-51 F. Chen, M. Johnson, Y. Alayev, A. Bar-Noy and Thomas F Laporta, 2009, "Who, When, Where: Timeslot Assignment to Mobile Clients", Proceedings of the Sixth IEEE International Conference on Mobile Ad-hoc and Sensor Systems (MASS 2009), pp. 90-99 Y. Yang, S. Zhu, G. Cao and Thomas F Laporta, 2009, "An Active Global Attack Model for Sensor Source Location Privacy: Analysis and Countermeasures", Proceedings of the Fifth International ICST Conference on Security and Privacy in Communication Networks (SecureComm 2009) H. Rowaihy, M. Johnson, D. Pizzocaro, A. Bar-Noy, L. Kaplan, Thomas F Laporta and A. Preece, 2009, "Detection and Localization of Sensor Assignment with Exact and Fuzzy Locations", Springer-Verlag LNCS, 5516, pp. 28-43 S. Eswaran, M. Johnson, A. Misra and Thomas F Laporta, 2009, "Adaptive In-Network Processing for Bandwidth and Energy Constrained Mission-Oriented Multi-hop Wireless Networks", Springer-Verlag LNCS, 5516, pp. 87-102 Y. Sun, R. Melervey and Thomas F Laporta, 2009, "Multiple Backhaul Mobile Access Router Striping", Proceedings of the IEEE International Conference on Communications (ICC 2009), pp. 6 S. Eswaran, A. Misra and Thomas F Laporta, 2009, "Control-theoretic Optimization of Utility over Mission Lifetimes in Multi-hop Wireless Networks", Proceedings of the Sixth Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON 2009), pp. 9 M. Shao, W. Hu, S. Zhu, G. Cao, S. Krishnamurthy and Thomas F Laporta, 2009, "Cross-layer Enhanced Source Location Privacy in Sensor Networks", Proceedings of the Sixth Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON 2009), pp. 9 F. Chen, M. Johnson, A. Bar-Noy, I. Fermin and Thomas F Laporta, 2009, "Proactive Data Dissemination to Mission Sites", Proceedings of the Sixth Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON 2009), pp. 9 A. Misra, S. Eswaran and Thomas F Laporta, 2009, "Control-Theoretic, Mission-Driven, Optimization Techniques for Wireless Sensor Networks", Proceedings of the Third Workshop on Intelligent Networks: Adaption, Communication & Reconfiguration (IAMCOM 2009), pp. 8 M. Shao, S. Zhu, G. Cao, Thomas F Laporta and P. Mohapatra, 2008, "A Cross-layer Dropping Attack in Video Streaming over Ad Hoc Networks", Proceedings of the Fourth International Conference on Security and Privacy in Communication Networks (SecureComm 2008), pp. 8 M. Johnson, H. Rowaihy, D. Pizzocaro, A. Bar-Noy, S. Chalmers, Thomas F Laporta and A. Preece, 2008, "Frugal Sensor Assignment", Springer-Verlag LNCS, 5067, pp. 219-236 R. Kumar, H. Choi, J. Shin and Thomas F Laporta, 2008, "Channelization for Network Coding in Wireless Networks", Proceedings of the Twenty Seventh Conference on Computer Communications (IEEE Infocom 2008) J. Shin, R. Kumar and Thomas F Laporta, 2007, "Relay Based Multi-hop Access to Wireless Mesh Networks", Proceedings of the Fourth IEEE International Conference on Mobile Ad-hoc and Sensor Systems (MASS 2007) J. Teng, G. Cao and Thomas F Laporta, 2007, "Sensor Relocation with Mobile Sensors: Design, Implementation, and Evaluation", Proceedings of the Fourth IEEE International Conference on Mobile Ad-hoc and Sensor Systems (MASS 2007) H. Choi, S. Zhu and Thomas F Laporta, 2007, "SET: Detecting Node Clones in Sensor Networks", Proceedings of the Third International Conference on Security and Privacy in Communication Networks (SecureComm 2007), pp. 10 P. Traynor, P. McDaniel and Thomas F Laporta, 2007, "On Attack Causality in Internet-Connected Cellular Networks", Proceedings of the Sixteenth USENIX Security Symposium (SECURITY 2007), pp. 307-322 A. Bar-Noy, T. Brown, M. P. Johnson, Thomas F Laporta, O. Liu and H. Rowaihy, 2007, "Assigning Sensors to Missions with Demands", Springer-Verlag LNCS 4837 H. Choi, Thomas F Laporta and P. McDaniel, 2007, "Privacy Preserving Communication in MANETs", Proceedings of Fourth Annual IEEE Communications Society Conference on Sensor, Mesh, and Ad Hoc Communications and Networks (SECON 2007), pp. 233-242 H. Rowaihy, W. Enck, P. McDaniel and Thomas F Laporta, 2007, "Limiting Sybil Attacks in Structured Peer-to-Peer Networks", Proceedings of the Twenty-Sixth Annual IEEE Conference on Computer Communications (INFOCOM 2007) Mini-Symposium on Security, Streaming, and Overlays, pp. 2596-2600 H. Rowaihy, S. Eswaran, P. Johnson, T. Brown, A. Barnoy, D. Verma and Thomas F Laporta, 2007, "A Survey of Sensor Selection Schemes in Wireless Sensor Networks", Proceedings of the SPIE Unattended Ground, Sea, and Air Sensor Technologies and Applications IX Conference, 6562, pp. 6562A1-A13 T. Brown, A. Barnoy, D. Verma, P. Johnson, H. Rowaihy, Thomas F Laporta and D. Sarioz, 2007, "Geometric Considerations for Optimally Placing Sensors in a Field", Proceedings of the SPIE Unattended Ground, Sea, and Air Sensor Technologies and Applications IX Conference, pp. 9 P. Traynor, H. Choi, G. Cao, S. Zhu and Thomas F Laporta, 2006, "Establishing Pair-Wise Keys in Heterogeneous Sensor Networks", Proceedings of IEEE INFOCOM 2006 P. Traynor, G. Cao and Thomas F Laporta, 2006, "The Effects of Probabilistic Key Management on Secure Routing in Sensor Networks", Proceedings of the IEEE Wireless Communications and Networking Conference (WCNC 2006), pp. 659-664 K. Kotapati, P. Liu and Thomas F Laporta, 2006, "CAT--A Practical Graph & SDL Based Toolkit for Vulnerability Assessment of 3G Networks", Proceedings of the Twenty-First IFIP International Information Security Conference (SEC 2006), pp. 158-170 J. Shin and Thomas F Laporta, 2006, "Hybrid Wireless Networks", Proceedings of the Fifth Annual Mediterranean Ad Hoc Networking Workshop (Med-Hoc-Net 2006) P. Traynor, R. Kumar, H. B. Saad, G. Cao and Thomas F Laporta, 2006, "LIGER: Implementing Efficient Hybrid Security Mechanisms for Heterogeneous Sensor Networks", Proceedings of the Fourth International Conference on Mobile Systems, Applications, and Services (MobiSys 2006), pp. 15-27 P. Traynor, J. Shin, B. Madan, S. Phoha and Thomas F Laporta, 2006, "Efficient Group Mobility for heterogeneous Sensor Networks", Proceedings of the IEEE Vehicular Technology Conference (VTC 2006), pp. 6 P. Traynor, W. Enck, P. McDaniel and Thomas F Laporta, 2006, "Mitigating Attacks on Open Functionality in SMS-Capable Cellular Networks", Proceedings of the Twelfth Annual International Conference on Mobile Computing and Networking (Mobicom 2006) H. Choi, H. Song, G. Cao and Thomas F Laporta, 2005, "Mobile Multi-Layered IPSec", Proceedings of IEEE INFOCOM 2005, pp. 1929-1939 G. Wang, G. Cao, Thomas F Laporta and W. Zhang, 2005, "Sensor Relocation in Mobile Sensor Networks", Proceedings of IEEE INFOCOM 2005, pp. 2302-2312 H. Choi, W. Enck, J. Shin, P. McDaniel and Thomas F Laporta, 2005, "Secure Reporting of Traffic Forwarding Activity in Mobile Ad Hoc Networks", Proceedings of the Second Annual International Conference on Mobile and Ubiquitous Systems: Networking and Services (MobiQuitous 2005), pp. 12-21 G. Wang, M. J. Irwin, P. Berman, H. Fu and Thomas F Laporta, 2005, "Optimizing Sensor Movement Planning for Energy Efficiency", Proceedings of the International Symposium on Low Power Electronics and Design (ISLPED 2005), pp. 215-220 K. Kotapati, P. Liu, Y. Sun and Thomas F Laporta, 2005, "A Taxonomy of Cyber Attacks on 3G Networks", Proceedings of the IEEE International Conference on Intelligence and Security Informatics (ISI 2005), 3495, (1), pp. 631-633 S. Kasera, J. Pinhiero, C. Loader, M. Karaul, A. Hari and Thomas F Laporta, 2005, "Robust Multiclass Signaling Overload Control", Proceedings of the Thirteenth IEEE International Conference on Network Protocols (ICNP 2005), pp. 246-258 W. Enck, P. Traynor, P. McDaniel and Thomas F Laporta, 2005, "Exploiting Open Functionality in SMS-Capable Cellular Networks", Proceedings of the Twelfth ACM Conference on Computer and Communications Security (CCS '05), pp. 393-404 Y. Sun, P. Liu, P. Kermani and Thomas F Laporta, 2005, "An Architecture and Key Management Approach for Maintaining Privacy in Location Based Group Services", Proceedings of the First International Conference on Collaborative Computing: Networking, Applications, and Worksharing (CollaborateCom 2005) H. Choi, H. Song, G. Cao and Thomas F Laporta, 2005, "Mobile IPsec", Proceedings of the IEEE Communications, Quality, and Reliability Workshop (CQR 2005), pp. 78-84 G. Wang, G. Cao and Thomas F Laporta, 2004, "Movement-Assisted Sensor Deployment", Proceedings of IEEE Infocom'04, pp. 2469-2479 W. Zhang, G. Cao and Thomas F Laporta, 2004, "Dynamic Proxy Tree-Based Data Dissemination Schemes for Wireless Sensor Networks", Proceedings of the First IEEE International Conference on Mobile Ad-hoc and Sensor Systems (MASS 2004), pp. 21-30 G. Wang, Thomas F Laporta and G. Cao, 2004, "Proxy-Based Sensor Deployment for Mobile Sensor Networks", Proceedings of the First IEEE International Conference on Mobile Ad-hoc and Sensor Systems (MASS 2004), pp. 493-502 G. Wang, W. Zhang, G. Cao and Thomas F Laporta, 2003, "On Supporting Distributed Collaboration in Sensor Networks", Proceedings of the IEEE Military Communications Conference (MILCOM 2003), pp. 752-757 A. Tarnacha and Thomas F Laporta, 2003, "E-STROBE: An Adaptive Beacon Activation Algorithm for Sensor Location.", Proceedings of the IEEE Semiannual Vehicular Technology Conference (VTC2003) W. Zhang, G. Cao and Thomas F Laporta, 2003, "Data Dissemination with Ring-Based Index for Sensor Networks", Proceedings of the IEEE International Conference on Network Protocols (ICNP 2003), pp. 305-314 G. Wang, G. Cao and Thomas F Laporta, 2003, "A Bidding Protocol for Deploying Mobile Sensors", Proceedings of the IEEE International Conference on Network Protocols (ICNP 2003), pp. 315-324 R. Ramjee, L. Li, Thomas F Laporta and S. Kasera, 2001, "IP Paging Service for Mobile Hosts", Proceedings of the Seventh Annual International Conference on Mobile Computing and Networking (Mobicom '01), pp. 332-345 S. Kasera, J. Pinheiro, C. Loader, M. Karaul, A. Hari and Thomas F Laporta, 2001, "Fast and Robust Signaling Overload Control", Proceedings of the Ninth International Conference on Network Protocols (ICNP '01), pp. 323-331 Thomas F Laporta, K. Murakami and R. Ramjee, 2000, "RIMA: Router for Integrated Mobile Access", Proceedings of the Eleventh International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC'00), pp. 315-321 Jonathan Lennox, Kazutaka Murakami, Mehmet Karaul and Thomas F Laporta, 2000, "Interworking Internet Telephony and Wireless Telecommunications Networks", Proceedings of the IEEE Workshop on IP Telephony (IPTel '00) V. Farhadi, F. Mehmeti, Thomas F Laporta, T. He, H. Khamfroush,, S. Wang and K. S. Chan, , "Service Placement and Request Scheduling for Data-intensive Applications in Edge Clouds" Exhibition Catalogs Manuscripts Thomas F Laporta, C. Petrioli, C. Phillips and D. Spenza, , "Sensor-mission Assignment in Rechargeable Wireless Sensor Networks", ACM Transactions on Sensor Networks F. Chen, M. Johnson, A. Bar-Noy and Thomas F Laporta, , "Proactive Data Dissemination to Mission Sites", Springer/ACM Wireless Networks Research Projects Honors and Awards Service Service to Penn State: Service to External Organizations: diff --git a/src/data/compiled_bios/1511.txt b/src/data/compiled_bios/1511.txt new file mode 100644 index 0000000000..656f8619ec --- /dev/null +++ b/src/data/compiled_bios/1511.txt @@ -0,0 +1 @@ + Wang Lee Associate Professor Affiliation(s): School of Electrical Engineering and Computer Science Computer Science and Engineering W332 Westgate Building wul2@psu.edu 814-865-1053 Personal or Departmental Website Research Areas: Interest Areas: Pervasive/mobile computing, database systems, security, peer-to-peer systems, wireless networks, internet technologies, telecommunications management network (TMN). Education BS, Information Science, National Chiao-Tung University, 1985 MS, Computer Science, Indiana University, 1989 Ph D, Computer & Information Science, Ohio State University, 1996 Publications Book, Chapters Mohammad Allaho and Wang Lee, 2015, Analyzing the Social Networks of Contributors in Open Source Software Community, Springer International Publishing, pp. 57-75 Wang Lee and M. Ye, 2014, Location-Based Social Networks, Springer, pp. 821-833 Wang Lee and John Krumm, 2011, Trajectory Preprocessing, pp. 333 Mei Li and Wang Lee, 2009, Clustering Data in Peer-to-Peer Systems, pp. 251257 Yingqi Xu and Wang Lee, 2004, Window query processing in highly dynamic geo-sensor networks: Issues and solutions, CRC Press, pp. 31-52 J. Xu, Wang Lee, D. L. Lee and Q. Hu, 2002, Data Broadcast, John Wiley & Sons, Inc., pp. 243265 DikLun Lee, Qinglong Hu and Wang Lee, 2000, Power Conserving and Access Efficient Indexes for Wireless Computing, Springer US, pp. 249-263 Wang Lee and Dik Lun Lee, 1996, Using Signature Techniques for Information Filtering in Wireless andMobile Environments, Kluwer Academic Publishers Wang Lee and M. Ye, , Location-Based Social Networks, Springer Journal Articles Qijun Zhu, Haibo Hu, Jianliang Xu and Wang Lee, 2017, "Geo-Social Group Queries with Minimum Acquaintance Constraint", The VLDB Journal, 26, (5) G. Chatzimilioudis, C. Costa, D. Zeinalipour-Yazti and Wang Lee, 2017, "Crowdsourcing emergency data in non-operational cellular networks", Information System, 64, pp. 292-302 H.-J. Hung, D.-N. Yang and Wang Lee, 2016, "Social Influence-Aware Reverse Nearest Neighbor Search", ACM Transactions on Spatial Algorithms and Systems, 2, (3), pp. 12:1-12:35 P. Chi, Wang Lee and Y. Xie, 2016, "Adapting B+-Tree for Emerging Nonvolatile Memory-Based Main Memory", IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 35, (9), pp. 1461-1474 C.-Y. Shen, D.-N. Yang, Wang Lee and M.-S. Chen, 2016, "Spatial-Proximity Optimization for Rapid Task Group Deployment", ACM Transactions on Knowledge Discovery from Data, Volume 10, 10, (4), pp. 47:1-47:36 P. Yin, Q. He, X. Liu and Wang Lee, 2016, "It takes two to tango: Exploring social tie development with both online and offline interactions", Statistical Analysis and Data Mining, 9, (3), pp. 174-187 G. Chatzimilioudis, C. Costa, D Zeinalipour-Yazti, Wang Lee and E. C. Pitoura, 2016, "Distributed In-Memory Processing of All k Nearest Neighbor Queries", IEEE Transactions on Knowledge and Data Engineering, 28, (4), pp. 925-938 Y. Zhang, Y.-L Hsueh, Wang Lee and Y.-H Jhang, 2016, "Efficient Cache-Supported Path Planning on Roads", IEEE Transactions on Knowledge and Data Engineering, 28, (4), pp. 951-964 C.-Y. Shen, L.-H. Huang, D.-N. Yang, Wang Lee and M.-S. Chen, 2016, "Socio-Spatial Group Queries for Impromptu Activity Planning", IEEE Transactions on Knowledge and Data Engineering, 28, (1), pp. 196-210 Yi-Cheng Chen, Wen-Chih Peng, Jiun-Long Huang and Wang Lee, 2015, "Significant Correlation Pattern Mining in Smart Homes", ACM Transactions on Intelligent Systems and Technology, 6, (3), pp. 35:135:23 C.-C. Hung, W.-C. Peng and Wang Lee, 2015, "Clustering and Aggregating Clues of Trajectories for Mining Trajectory Patterns and Routes", Very Large Data Base Journal (VLDBJ), 24, (2), pp. 169-192 Ling-Yin Wei, Ya-Ting Hsu, Wen-Chih Peng and Wang Lee, 2014, "Indexing spatial data in cloud data managements", Pervasive and Mobile Computing, 15, pp. 4861 Qijun Zhu, Dik Lun Lee and Wang Lee, 2014, "Querying Distributed Spatial Datasets with Unknown Regions", IEEE Transactions on Knowledge and Data Engineering, 26, (10), pp. 25342547 Xin Lin, Jianliang Xu, Haibo Hu and Wang Lee, 2014, "Authenticating Location-Based Skyline Queries in Arbitrary Subspaces", IEEE Transactions on Knowledge and Data Engineering, 26, (6), pp. 14791493 Yi-Cheng Chen, Wen-Yuan Zhu, Wen-Chih Peng, Wang Lee and Suh-Yin Lee, 2014, "CIM: Community-Based Influence Maximization in Social Networks", ACM Transactions on Intelligent Systems and Technology, 5, (2), pp. 25 Chen-Che Huang, Jiun-Long Huang, Chin-Liang Tsai, Guan-Zhong Wu, Chia-Min Chen and Wang Lee, 2014, "Energy-efficient and cost-effective web API invocations with transfersize reduction for mobile mashup applications", Wireless Networks, 20, (3), pp. 361378 Josh Jia-Ching Ying, Wang Lee and Vincent S. Tseng, 2013, "Mining geographic-temporal-semantic patterns in trajectories for location prediction", ACM Transactions on Intelligent Systems and Technology, 5, (1), pp. 2:1-2:33 Ling-Yin Wei, Wen-Chih Peng and Wang Lee, 2013, "Exploring pattern-aware travel routes for trajectory search", ACM Transactions on Intelligent Systems and Technology, 4, (3), pp. 48:1-48:25 Kenneth Wai-Ting Leung, Dik Lun Lee and Wang Lee, 2013, "PMSE: A Personalized Mobile Search Engine", IEEE Transactions on Knowledge and Data Engineering, 25, (4), pp. 820834 Xingjie Liu, De-Nian Yang, Mao Ye and Wang Lee, 2013, "U-Skyline: A New Skyline Query for Uncertain Databases", IEEE Transactions on Knowledge and Data Engineering, 25, (4), pp. 945960 Mao Ye, Wang Lee, Dik Lun Lee and Xingjie Liu, 2013, "Distributed Processing of Probabilistic Top-k Queries in Wireless Sensor Networks", IEEE Transactions on Knowledge and Data Engineering, 25, (1), pp. 7691 Mao Ye, Ken C. K. Lee, Wang Lee, Xingjie Liu and Meng-Chang Chen, 2012, "Querying Uncertain Minimum in Wireless Sensor Networks", IEEE Transactions on Knowledge and Data Engineering, 24, (12), pp. 22742287 Chih-Chieh Hung, Wen-Chih Peng and Wang Lee, 2012, "Energy-Aware Set-Covering Approaches for Approximate Data Collection in Wireless Sensor Networks", IEEE Transactions on Knowledge and Data Engineering, 24, (11), pp. 19932007 Ling-Jyh Chen, Yu-Song Syu, Hung-Chia Chen and Wang Lee, 2012, "The Design and Evaluation of Task Assignment Algorithms for GWAP-based Geospatial Tagging Systems", Mobile Networks and Applications Journal, 17, (3), pp. 395414 Eric Hsueh-Chan Lu, Wang Lee and Vincent Shin-Mu Tseng, 2012, "A Framework for Personal Mobile Commerce Pattern Mining and Prediction", IEEE Transactions on Knowledge and Data Engineering, 24, (5), pp. 769782 Ken C. K. Lee, Wang Lee, Baihua Zheng and Yuan Tian, 2012, "ROAD: A New Spatial Object Search Framework for Road Networks", IEEE Transactions on Knowledge and Data Engineering, 24, (3), pp. 547560 Yuzhe Tang, Jianliang Xu, Shuigeng Zhou, Wang Lee, Dingxiong Deng and Yue Wang, 2011, "A Lightweight Multidimensional Index for Complex Queries over DHTs", IEEE Transactions on Distributed and Parallel Systems, 22, (12), pp. 20462054 Ken C. K. Lee, Brandon Unger, Baihua Zheng and Wang Lee, 2011, "Location-dependent spatial query containment", Data & Knowledge Engineering, 70, (10), pp. 842865 Eric Hsueh-Chan Lu, Wang Lee and Vincent S. Tseng, 2011, "Mining fastest path from trajectories with multiple destinations inroad networks", Knowledge and Information Systems (KAIS) Journal, 29, (1), pp. 2553 Bo Luo, Dongwon Lee, Wang Lee and Peng Liu, 2011, "QFilter: rewriting insecure XML queries to secure ones using non-deterministic finite automata", Very Large Data Base Journal, 20, (3), pp. 397415 Zhisheng Li, Ken C. K. Lee, Baihua Zheng, Wang Lee, Dik Lun Lee and Xufa Wang, 2011, "IR-Tree: An Efficient Index for Geographic Document Search", IEEE Transactions on Knowledge and Data Engineering, 23, (4), pp. 585599 Ken C. K. Lee, Wang Lee and Hong Va Leong, 2010, "Nearest Surrounder Queries", IEEE Transactions on Knowledge and Data, 22, (10), pp. 14441458 Ken C. K. Lee, Wang Lee, Baihua Zheng, Huajing Li and Yuan Tian, 2010, "Z-SKY: an efficient skyline query processing framework based on Z-order", Very Large Data Base Journal, 19, (3), pp. 333362 Tao-Yang Fu, Wen-Chih Peng and Wang Lee, 2010, "Parallelizing Itinerary-Based KNN Query Processing in Wireless Sensor Networks", Parallelizing Itinerary-based KNN, 22, (5), pp. 711729 Ken C. K. Lee, Wang Lee, Hong Va Leong, Brandon Unger and Baihua Zheng, 2010, "Efficient Valid Scope for Location-Dependent Spatial Queries in Mobile Environments", Journal of Software, 5, (2), pp. 133145 Flora S. Tsai, Minoru Etoh, Xing Xie, Wang Lee and Qiang Yang, 2010, "Introduction to Mobile Information Retrieval", IEEE Intelligent Systems, 25, (1), pp. 1115 Baihua Zheng, Wang Lee, Peng Liu, Dik Lun Lee and Xuhua Ding, 2009, "Tuning On-Air Signatures for Balancing Performance and Confidentiality", IEEE Transactions on Knowledge and Data Engineering, 21, (12), pp. 17831797 Yunjun Gao, Baihua Zheng, Gencai Chen, Wang Lee, Ken C. K. Lee and Qing Li, 2009, "Visible Reverse k-Nearest Neighbor Query Processing in Spatial Databases", IEEE Transactions on Knowledge and Data Engineering, 21, (9), pp. 13141327 Baihua Zheng, Wang Lee, Ken C. K. Lee, Dik Lun Lee and Min Shao, 2009, "A distributed spatial index for error-prone wireless data broadcast", Very Large Data Base Journal, 18, (4), pp. 959986 Qijun Gu, Peng Liu, Wang Lee and Chao-Hsien Chu, 2009, "KTR: An Efficient Key Management Scheme for Secure Data Access Control in Wireless Broadcast Services", IEEE Transactions on Dependable and Secure Computing, 6, (3), pp. 188201 Wang Lee, Jianliang Xu, Jianzhong Li and Fabrizio Silvestri, 2009, "Special Section: Scalable information systems", Future Generation Computer Systems, 25, (1), pp. 5152 Xueyan Tang, Jianliang Xu and Wang Lee, 2008, "Analysis of TTL-Based Consistency in Unstructured Peer-to-Peer Networks", IEEE Transactions on Distributed and Parallel Systems, 19, (12), pp. 16831694 Jianliang Xu, Xueyan Tang and Wang Lee, 2008, "Distributed query processing in flash-based sensor networks", Frontiers of Computer Science in China, 2, (3), pp. 248256 Mei Li, Wang Lee, Anand Sivasubramaniam and Jizhong Zhao, 2008, "Supporting K nearest neighbors query on high-dimensional data in P2P systems", Frontiers of Computer Science in China, 2, (3), pp. 234247 Huajing Li, Wang Lee, Anand Sivasubramaniam and Clyde L Giles, 2008, "Workload analysis for scientific literature digital libraries", International Journal of Digital Libraries, Special Issue on Very Large Digital Library, 9, (2), pp. 139149 Yingqi Xu, Wang Lee, Jianliang Xu and Gail Mitchell, 2008, "Energy-Aware and Time-Critical Geo-Routing in Wireless Sensor Networks", International Journal of Distributed Sensor Networks, 4, (4), pp. 315346 Ken C. K. Lee, Baihua Zheng and Wang Lee, 2008, "Ranked Reverse Nearest Neighbor Search", IEEE Transactions on Knowledge and Data Engineering, 20, (7), pp. 894910 Mei Li, Wang Lee, Anand Sivasubramaniam and Jing Zhao, 2008, "SSW: A Small-World-Based Overlay for Peer-to-Peer Search", IEEE Transactions on Distributed and Parallel Systems, 19, (6), pp. 735749 Jianliang Xu, Xueyan Tang and Wang Lee, 2008, "A New Storage Scheme for Approximate Location Queries in Object-Tracking Sensor Networks", IEEE Transactions on Distributed and Parallel Systems, 19, (2), pp. 262275 Ken C. K. Lee, Wang Lee and Sanjay Kumar Madria, 2008, "Pervasive data access in wireless and mobile computing environments", Wireless Communications and Mobile Computing, 8, (1), pp. 2544 Yingqi Xu, Tao-Yang Fu, Wang Lee and Julian Winter, 2007, "Processing k nearest neighbor queries in location-aware sensor networks", Signal Processing, 87, (12), pp. 28612881 Ken C. K. Lee, Josh Schiffman, Baihua Zheng, Wang Lee and Hong Va Leong, 2007, "Round-Eye: A system for tracking nearest surrounders in moving object environments", Journal of Systems and Software, 80, (12), pp. 20632076 Fengjun Li, Bo Luo, Peng Liu, Dongwon Lee, Prasenjit Mitra, Wang Lee and Chao-Hsien Chu, 2007, "In-broker Access Control Information Brokerage Systems", International Journal on Intelligent Control and Systems, Special Issue on Information Assurance, 12, (4), pp. 283-292 Ken C.K. Lee, Baihua Zheng, Wang Lee and Julian Winter, 2007, "Materialized In-Network View for spatial aggregation queries in wireless sensor network", ISPRS Journal of Photogrammetry and Remote Sensing, 62, (5), pp. 382-402 Ya-Hui Chang, Cheng-Ta Lee and Wang Lee, 2007, "A Path-based Approach for Efficient Evaluation of Twig Queries over XML Data", Journal of Information Science and Engineering, 23, (5), pp. 15231540 Minji Wu, Jianliang Xu, Xueyan Tang and Wang Lee, 2007, "Top-k Monitoring in Wireless Sensor Networks", IEEE Transactions on Knowledge and Data Engineering, 19, (7), pp. 962976 Baihua Zheng, Wang Lee and Dik Lun Lee, 2007, "On Searching Continuous k Nearest Neighbors in Wireless Data BroadcastSystems", IEEE Transaction on Mobile Computing, 6, (7), pp. 748761 Sunho Lim, Wang Lee, Guohong Cao and Chitaranjan Das, 2007, "Cache invalidation strategies for internet-based mobile ad hoc networks", Computer Communications Journal, 30, (8), pp. 18541869 Yingqi Xu and Wang Lee, 2007, "Compressing Moving Object Trajectory in Wireless Sensor Networks", International Journal of Distributed Sensor Networks, 3, (2), pp. 151174 Sunho Lim, Wang Lee, Guohong Cao and Chitaranjan Das, 2006, "A novel caching scheme for improving Internet-based mobile ad hoc networks performance", Ad Hoc Networks Journal, 4, (2), pp. 225239 Jianliang Xu, Wang Lee, Xueyan Tang, Qing Gao and Shanping Li, 2006, "An Error-Resilient and Tunable Distributed Indexing Scheme for Wireless Data Broadcast", IEEE Transactions on Knowledge and Data Engineering, 18, (2), pp. 392404 Baihua Zheng, Jianliang Xu, Wang Lee and Dik Lun Lee, 2006, "Grid-partition index: a hybrid method for nearest-neighbor queries in wireless location-based services", Very Large Data Base Journal, 15, (1), pp. 2139 Jianliang Xu, Xueyan Tang and Wang Lee, 2006, "Time-Critical On-Demand Data Broadcast: Algorithms, Analysis, and Performance Evaluation", IEEE Transactions on Parallel and Distributed Systems, 17, (1), pp. 314 Jianliang Xu, Baihua Zheng, Wang Lee and Dik Lun Lee, 2004, "The D-Tree: An Index Structure for Planar Point Queries in Location-Based Wireless Services", IEEE Transactions on Knowledge and Data Engineering, 16, (12), pp. 15261542 Baihua Zheng, Wang Lee and Dik Lun Lee, 2004, "On Semantic Caching and Query Scheduling for Mobile Nearest-NeighborSearch", Wireless Networks, 10, (6), pp. 653664 Baihua Zheng, Wang Lee and Dik Lun Lee, 2004, "Spatial Queries in Wireless Broadcast Systems", Wireless Networks, 10, (6), pp. 723736 Jianliang Xu, Qinglong Hu, Wang Lee and Dik Lun Lee, 2004, "Performance Evaluation of an Optimal Cache Replacement Policy for Wireless Data Dissemination", IEEE Transactions on Knowledge and Data Engineering, 16, (1), pp. 125139 J. Lee, Wang Lee, C.-P. Liu, A.-T. Wang and C. Chang, 2003, "Monte Carlo Methods on Customer Retrial Calls in Communication Networks", Chung Yuan Journal, 31, (3), pp. 151-159 Yu-Chee Tseng, Sandeep K. S. Gupta, Wang Lee and Pradip K. Srimani, 2003, "Editorial", ACM/Baltzer Wireless Networks (WINET), 9, (2), pp. 9394 Pradip K. Srimani, Wang Lee and Sandeep K. S. Gupta, 2002, "Guest Editorial: Special Section on Data Management Systems and MobileComputing", IEEE Transactions on Computers, 51, (10), pp. 11211123 Sandeep Kumar S. Gupta, Wang Lee and Mahadev Satyanarayanan, 2002, "Editorial for Special Issue on Pervasive Computing", Mobile Networks and Applications, 7, (4), pp. 255257 Dik Lun Lee, Wang Lee, Jianliang Xu and Baihua Zheng, 2002, "Data Management in Location-Dependent Information Services", IEEE Pervasive Computing, 1, (3), pp. 6572 Sandeep K. S. Gupta, Wang Lee, Apratim Purakayastha and Pradip K. Srimani, 2001, "An overview of pervasive computing", IEEE Personal Communications Magazine, 8, (4), pp. 89 Qinglong Hu, Wang Lee and Dik Lun Lee, 2001, "Indexing Techniques for Power Management in Multi-Attribute Data Broadcast", ACM Mobile Networks and Applications (MONET): Special Issue on Management of Mobility in Distributed Systems, 6, (2), pp. 185197 Qinglong Hu, Wang Lee and Dik Lun Lee, 2001, "A Hybrid Index Technique for Power Efficient Data Broadcast", Distributed and Parallel Databases Journal, 9, (2), pp. 151177 Sandra Heiler, Wang Lee and Gail Mitchell, 1999, "Repository Support for Metadata-based Legacy Migration", IEEE Data Engineering Bulletin, 22, (1), pp. 3742 Wang Lee and Dik Lun Lee, 1999, "Signature caching techniques for information filtering in mobile environments", ACM Wireless Networks, 5, (1), pp. 5767 Wang Lee, Qinglong Hu and Dik Lun Lee, 1999, "A Study on Channel Allocation for Data Dissemination in Mobile Computing Environments", ACM Mobile Networks and Applications (MONET): Special Issue on Resource Management in Wireless Network, 4, (2), pp. 117129 Wang Lee and Dik Lun Lee, 1998, "Dictionary: A New Access Method for Query Processing in Object-Oriented Databases", IEEE Transaction on Knowledge and Data Engineering, 10, (3), pp. 371388 Wang Lee and Dik Lun Lee, 1996, "Using Signature Techniques for Information Filtering in Wireless andMobile Environments", Distributed and Parallel Databases: Special Issue on Database and Mobile Computing, 4, (3), pp. 205227 W.-P. Yang, Wang Lee, T.-C. Chiu and S.S. Tung, 1992, "A New Strategy for Multiple Stacks Manipulation", Computer Journal, 35, (3), pp. A616-A622 H.-H. Shuai, C.-Y. Shen, D.-N. Yang, Y.-F. Lan, Wang Lee, P. S. Yu and M.-S. Chen, , "A Comprehensive Study on Social Network Mental Disorders Detection via Online Social Media Mining", IEEE Transaction on Knowledge and Data ENgineering (TKDE) H. Zhu, X. Yang, B. Wang and Wang Lee, , "Range-based Nearest Neighbor Queries with Complex-shaped Obstacles", IEEE Transaction on Knowledge and Data Engineering (TKDE) Conference Proceedings M.-F. Chiang, E.-P. Lim, Wang Lee and A.T. Kwee, 2017, "BTCI: a New Framework for Identifying Congestion Cascades Using Bus Trajectory Data", IEEE Computer Society T.-Y. Fu, Wang Lee and Zhen Lei, 2017, "HIN2Vec: Explore Meta-paths in Heterogeneous Information Networks for Representation Learning", Association for Computing Machinery Y.-S. Lin, P. Yin and Wang Lee, 2017, "Modeling Menu Bundle Designs of Crowdfunding Projects", Association for Computing Machinery Vasudevan Rengasamy, T.-Y. Fu, Wang Lee and Kamesh Madduri, 2017, "Optimizing Word2Vec Performance on Multicore Systems", Association for Computing Machinery C.-Y. Shen, L.-H. Huang, D.-N. Yang, H.-H. Shuai, Wang Lee and M.-S. Chen, 2017, "On Finding Socially Tenuous Groups for Online Social Networks", Association for Computing Machinery, pp. 415-424 Y. Zhang, Y.-L. Hsueh, Wang Lee and Y.-H. Jhang, 2017, "Efficient Cache-Supported Path Planning on Roads", Institute of Electrical and Electronics Engineers Inc, pp. 15-16 T.-Y. Fu, Z. Lei and Wang Lee, 2016, "Modeling Time Lags in Citation Networks", pp. 865-870 H.-J. Hung, H.-H. Shuai, D.-N. Yang, L.-H. Huang, Wang Lee, J. Pei and M.-S. Chen, 2016, "When social influence meets item inference", Association for Computing Machinery, 13, pp. 915-924 H.-J. Hung, D.-N Yang and Wang Lee, 2016, "Routing and Scheduling of Social Influence Diffusion in Online Social Networks", Institute of Electrical and Electronics Engineers Inc., 2016, pp. 437-466 Y.-S. Lin, Wang Lee and C.-C. H. Chang, 2016, "Analysis of rewards on reward-based crowdfunding platforms", pp. 501-504 H. Zhu, X. Yang, B. Wang and Wang Lee, 2016, "Range-based obstructed nearest neighbor queries", Association for Computing Machinery, 26, pp. 2053-2068 G. Chatzimilioudis, C. Costa, D. Zeinalipour-Yazti, Wang Lee and E. Pitoura, 2016, "Distributed in-memory processing of All K Nearest Neighbor queries", Institute of Electrical and Electronics Engineers Inc H.-H. Shuai, C.-Y. Shen, D.-N. Yang, Y.-F. Lan, Wang Lee, P. S. Yu and M.-S. Chen, 2016, "Mining Online Social Data for Detecting Social Network Mental Disorders", ACM, pp. 275-285 C.-C. Huang, J.-L. Huang, T.-C. Liang, J.-Z. Wang, W.-Y. Shih and Wang Lee, 2016, "Nearest Window Cluster Queries", Open Proceedings, pp. 341-352 V. Rakesh, Wang Lee and C. K. Reddy, 2016, "Probabilistic group recommendation model for crowdfunding domains", Association for Computing Machinery, Inc, pp. 257-266 T.-Y. Fu, Z. Lei and Wang Lee, 2015, "Patent Citation Recommendation for Examiners", ACM, pp. 751-756 C.-Y. Shen, H.-H. Shuai, D.-N. Yang, Y.-F. Lan, Wang Lee, P. S. Yu and M.-S. Chen, 2015, "Forming Online Support Groups for Internet and Behavior Related Addictions", pp. 163-172 Fei Wu, Hongjian Wang, Zhenhui Li, Wang Lee and Zhuojie Huang, 2015, "SemMobi: A Semantic Annotation System for Mobility Data", ACM, pp. 255258 F. Wu, Z. Li, Wang Lee, H. Wang and Z. Huang, 2015, "Semantic Annotation of Mobility Data using Social Media", ACM, pp. 1253-1263 Chih-Ya Shen, De-Nian Yang, Wang Lee and Ming-Syan Chen, 2015, "Maximizing Friend-Making Likelihood for Social Activity Organization", Springer, 9077, pp. 315 Y. Lin, H. Xu, Y. Zhou and Wang Lee, 2015, "Styles in the Fashion Social Network: An Analysis on Lookbook.nu", pp. 356-361 Hongjian Wang, Zhenhui Li and Wang Lee, 2014, "PGT: Measuring Mobility Relationship Using Personal, Global and Temporal Factors", pp. 570-579 Mohammad Y. Allaho and Wang Lee, 2014, "Increasing the Responsiveness of Recommended Expert Collaborators for Online Open Projects", ACM, New York, NY, USA, pp. 749758 Xingjie Liu, Yuanyuan Tian, Qi He, Wang Lee and John McPherson, 2014, "Distributed Graph Summarization", ACM, New York, NY, USA, pp. 799808 Shuting Wang, Zhen Lei and Wang Lee, 2014, "Exploring Legal Patent Citations for Patent Valuation", ACM, New York, NY, USA, pp. 13791388 Mohammad Allaho and Wang Lee, 2014, "Trends and Behavior of Developers in Open Collaborative Software Projects", pp. 96-102 Hui-Ju Hung, De-Nian Yang and Wang Lee, 2014, "Social Influence-Aware Reverse Nearest Neighbor Search" Shuting Wang, Wang Lee, Zhen Lei, Xianliang Zhang and Yu-Hsuan Kuo, 2014, "Exploring Technological Trends for Patent Evaluation" Sooyoung Oh, Zhen Lei, Wang Lee and John Yen, 2014, "Recommending Missing Citations for Newly Granted Patents", pp. 442-448 Ping Chi, Wang Lee and Yuan Xie, 2014, "Making B+-tree Efficient in PCM-based Main Memory", ACM, New York, NY, USA, pp. 6974 Tiezheng Nie, Wang Lee, Derong Shen, Ge Yu and Yue Kou, 2014, "Distributed Entity Resolution Based on Similarity Join for Large-Scale Data Clustering", Springer International Publishing, 8485, pp. 138-149 Yi-Cheng Chen, Chien-Chih Chen, Wen-Chih Peng and Wang Lee, 2014, "Mining Correlation Patterns among Appliances in Smart Home Environment", Springer, 8444, pp. 222233 Peifeng Yin, Mao Ye, Wang Lee and Zhenhui Li, 2014, "Mining GPS Data for Trajectory Recommendation", Springer, 8444, pp. 5061 Sooyoung Oh, Zhen Lei, Wang Lee and John Yen, 2014, "Patent Evaluation Based on Technological Trajectory Revealed in RelevantPrior Patents", Springer, 8443, pp. 545556 Peifeng Yin, Nilam Ram, Wang Lee, Conrad S Tucker, Shashank Khandelwal and Marcel Salath, 2014, "Two Sides of a Coin: Separating Personal Communication and PublicDissemination Accounts in Twitter", Springer, 8443, pp. 163175 Yuya Sasaki, Wang Lee, Takahiro Hara and Shojiro Nishio, 2014, "SKY R-tree: An Index Structure for Distance-Based Top-k Query", Springer, 8421, pp. 220235 Peifeng Yin, Qi He, Xingjie Liu and Wang Lee, 2014, "It Takes Two to Tango: Exploring Social Tie Development with Both Online and Offline Interactions", SIAM, pp. 334342 Yi-Cheng Chen, Wen-Chih Peng and Wang Lee, 2013, "A Novel System for Extracting Useful Correlation in Smart Home Environment", pp. 357364 Sooyoung Oh, Zhen Lei, Wang Lee, Prasenjit Mitra and John Yen, 2013, "CV-PCR: a context-guided value-driven framework for patent citation recommendation", ACM, pp. 22912296 Gregory Ference, Mao Ye and Wang Lee, 2013, "Location recommendation for out-of-town users in location-based social networks", ACM, pp. 721726 Gregory Ference, Wang Lee, Hui-Ju Jung and De-Nian Yang, 2013, "Spatial search for K diverse-near neighbors", ACM, pp. 1928 Mohammad Y. Allaho and Wang Lee, 2013, "Analyzing the social ties and structure of contributors in open source software community", ACM, pp. 5660 De-Nian Yang, Hui-Ju Hung, Wang Lee and Wei Chen, 2013, "Maximizing acceptance probability for active friending in online social networks", ACM, pp. 713721 Peifeng Yin, Ping Luo, Wang Lee and Min Wang, 2013, "Silence is also evidence: interpreting dwell time for recommendation from psychological perspective", ACM, pp. 989997 Yuya Sasaki, Wang Lee, Takahiro Hara and Shojiro Nishio, 2013, "On Alleviating Beacon Overhead in Routing Protocols for Urban VANETs", IEEE Computer Society, pp. 6676 Mohammad Y. Allaho, Wang Lee and De-Nian Yang, 2013, "Staffing Open Collaborative Projects Based on the Degree of Acquaintance", Springer, pp. 385400 Yi-Cheng Chen, Yu-Lun Ko, Wen-Chih Peng and Wang Lee, 2013, "Mining Appliance Usage Patterns in Smart Home Environment", Springer, 7818, pp. 99110 Peifeng Yin, Ping Luo, Wang Lee and Min Wang, 2013, "App recommendation: a contest between satisfaction and temptation", ACM, pp. 395404 Wang Lee, Weiping Si, Ling-Jyh Chen and Meng-Chang Chen, 2012, "HTTP: a new framework for bus travel time prediction based on historical trajectories", ACM, pp. 279288 Xingjie Liu, Yuan Tian, Mao Ye and Wang Lee, 2012, "Exploring personal impact for group recommendation", ACM, pp. 674683 Chunyan Wang, Mao Ye and Wang Lee, 2012, "From face-to-face gathering to social structure", ACM, pp. 465474 De-Nian Yang, Wang Lee, Nai-Hui Chia, Mao Ye and Hui-Ju Hung, 2012, "On bundle configuration for viral marketing in social networks", ACM, pp. 22342238 Yao-Chung Fan, Xingjie Liu, Wang Lee and Arbee L. P. Chen, 2012, "Efficient Time Series Disaggregation for Non-intrusive Appliance Load Monitoring", IEEE Computer Society, pp. 248255 Xingjie Liu, Qi He, Yuanyuan Tian, Wang Lee, John McPherson and Jiawei Han, 2012, "Event-based social networks: linking the online and offline social worlds", ACM, pp. 10321040 De-Nian Yang, Chih-Ya Shen, Wang Lee and Ming-Syan Chen, 2012, "On soci-spatial group query for location-based social networks", ACM, pp. 949957 Mao Ye, Xingjie Liu and Wang Lee, 2012, "Exploring social influence for recommendation: a generative model approach", ACM, pp. 671680 Georgios Chatzimilioudis, Demetrios Zeinalipour-Yazti, Wang Lee and Marios D. Dikaiakos, 2012, "Continuous All k-Nearest-Neighbor Querying in Smartphone Networks", IEEE Computer Society, pp. 7988 Ya-Ting Hsu, Yi-Chin Pan, Ling-Yin Wei, Wen-Chih Peng and Wang Lee, 2012, "Key Formulation Schemes for Spatial Index in Cloud Data Managements", IEEE Computer Society, pp. 2126 Peifeng Yin, Ping Luo, Min Wang and Wang Lee, 2012, "A straw shows which way the wind blows: ranking potentially popular items from early votes", ACM, pp. 623632 Josh Jia-Ching Ying, Wang Lee, Tz-Chiao Weng and Vincent S. Tseng, 2011, "Semantic trajectory mining for location prediction", ACM, pp. 3443 Josh Jia-Ching Ying, Wang Lee, Mao Ye, Ching-Yu Chen and Vincent S. Tseng, 2011, "User association analysis of locales on location based social networks", ACM, pp. 6976 Mao Ye, Krzysztof Wladyslaw Janowicz, Christoph Mlligann and Wang Lee, 2011, "What you are is when you are: the temporal dimension of feature types in location-based social networks", ACM, pp. 102111 Christoph Mlligann, Krzysztof Wladyslaw Janowicz, Mao Ye and Wang Lee, 2011, "Analyzing the Spatial-Semantic Interaction of Points of Interest in Volunteered Geographic Information", Springer, 6899, pp. 350370 De-Nian Yang, Yi-Ling Chen, Wang Lee and Ming-Syan Chen, 2011, "On Social-Temporal Group Query with Acquaintance Constraint", 4, (6), pp. 397-408 Mao Ye, Dong Shou, Wang Lee, Peifeng Yin and Krzysztof Wladyslaw Janowicz, 2011, "On the semantic annotation of places in location-based social networks", ACM, pp. 520528 Mao Ye, Rong Xiao, Wang Lee and Xing Xie, 2011, "On theme location discovery for travelogue services", ACM, pp. 465474 Mao Ye, Peifeng Yin, Wang Lee and Dik Lun Lee, 2011, "Exploiting geographical influence for collaborative point-of-interest recommendation", ACM, pp. 325334 Kenneth Wai-Ting Leung, Dik Lun Lee and Wang Lee, 2011, "CLR: a collaborative location recommendation framework based on co-clustering", ACM, pp. 305314 Qijun Zhu, Dik Lun Lee and Wang Lee, 2011, "Collaborative caching for spatial queries in Mobile P2P Networks", IEEE Computer Society, pp. 279290 Mao Ye, Rong Xiao, Wang Lee and Xing Xie, 2011, "Location relevance classification for travelogue digests", ACM, pp. 163164 Mao Ye, Peifeng Yin and Wang Lee, 2010, "Location recommendation for location-based social networks", ACM, pp. 458461 Josh Jia-Ching Ying, Eric Hsueh-Chan Lu, Wang Lee, Tz-Chiao Weng and Vincent S. Tseng, 2010, "Mining user similarity from semantic trajectories", ACM, pp. 1926 Cheng-Yu Lin, Ling-Jyh Chen, Ying-Yu Chen and Wang Lee, 2010, "A Comfort Measuring System for Public Transportation Systems Using Participatory Phone Sensing", pp. 5 Qiankun Zhao, Yuan Tian, Qi He, Nuria Oliver, Ruoming Jin and Wang Lee, 2010, "Communication motifs: a tool to characterize social communications", ACM, pp. 16451648 Yuan Tian, Qi He, Qiankun Zhao, Xingjie Liu and Wang Lee, 2010, "Boosting social network connectivity with link revival", ACM, pp. 589598 Peifeng Yin, Wang Lee and Ken C. K. Lee, 2010, "On top-k social web search", ACM, pp. 13131316 Gaurav Gupta and Wang Lee, 2010, "Collaborative Spatial Object Recommendation in Location Based Services", IEEE Computer Society, pp. 2433 Baihua Zheng, Wang Lee, Ken C. K. Lee, Julian Winter and Meng-Chang Chen, 2010, "DISQO: A Distributed Framework for Spatial Queries over Moving Objects", IEEE Computer Society, pp. 414423 Huajing Li, Yuan Tian, Wang Lee, Clyde L Giles and Meng-Chang Chen, 2010, "Personalized Feed Recommendation Service for Social Networks", IEEE Computer Society, pp. 96103 Ken C. K. Lee, Mao Ye and Wang Lee, 2010, "Reverse ranking query over imprecise spatial data", ACM Xingjie Liu, Jianliang Xu and Wang Lee, 2010, "A Cross Pruning Framework for Top-k Data Collection in Wireless Sensor Networks", IEEE Computer Society, pp. 157166 Xingjie Liu, Mao Ye, Jianliang Xu, Yuan Tian and Wang Lee, 2010, "k-Selection Query over Uncertain Data", Springer, 5981, pp. 444459 Zhenjiang Li, Danny H. K. Tsang and Wang Lee, 2010, "Understanding Sub-stream Scheduling in P2P Hybrid Live Streaming Systems", IEEE, pp. 281285 Kenneth Wai-Ting Leung, Dik Lun Lee and Wang Lee, 2010, "Personalized Web search with location preferences", IEEE, pp. 701712 Mao Ye, Xingjie Liu, Wang Lee and Dik Lun Lee, 2010, "Probabilistic Top-k query processing in distributed sensor networks", IEEE, pp. 585588 Ling-Jyh Chen, Yu-Song Syu, Bo-Chun Wang and Wang Lee, 2009, "An analytical study of GWAP-based geospatial tagging systems", ICST / IEEE, pp. 110 Yuan Tian, Ken C. K. Lee and Wang Lee, 2009, "Monitoring minimum cost paths on road networks", ACM, pp. 217226 Ken C. K. Lee, Wang Lee, Hong Va Leong and Baihua Zheng, 2009, "Navigational path privacy protection", ACM, pp. 691700 Yuan Tian, Ken C. K. Lee and Wang Lee, 2009, "Finding skyline paths in road networks", ACM, pp. 444447 Huajing Li, Maja Vukovic, Gopal Sarma Pingali and Wang Lee, 2009, "SolutionFinder: Intelligent Knowledge Integration and Dissemination for Solution Retrieval in IT Support Services", IEEE Computer Society, pp. 7380 Huajing Li, Zhisheng Li, Wang Lee and Dik Lun Lee, 2009, "A probabilistic topic-based ranking framework for location-sensitive domain information retrieval", ACM, pp. 331338 Yuzhe Tang, Jianliang Xu, Shuigeng Zhou and Wang Lee, 2009, "m-LIGHT: Indexing Multi-Dimensional Data over DHTs", IEEE Computer Society, pp. 191198 Yunjun Gao, Baihua Zheng, Gencai Chen, Wang Lee, Ken C. K. Lee and Qing Li, 2009, "Visible Reverse k-Nearest Neighbor Queries", IEEE, pp. 12031206 Ken C. K. Lee, Wang Lee, Hong Va Leong and Baihua Zheng, 2009, "OPAQUE: Protecting Path Privacy in Directions Search", IEEE, pp. 12711274 Bruce S. E. Chung, Wang Lee and Arbee L. P. Chen, 2009, "Processing probabilistic spatio-temporal range queries over moving objects with uncertainty", ACM, 360, pp. 6071 Yunjun Gao, Baihua Zheng, Wang Lee and Gencai Chen, 2009, "Continuous visible nearest neighbor queries", ACM, 360, pp. 144155 Ken C. K. Lee, Wang Lee and Baihua Zheng, 2009, "Fast object search on road networks", ACM, 360, pp. 10181029 Ken C. K. Lee, Wang Lee, Hong Va Leong, Brandon Unger and Baihua Zheng, 2009, "Efficient valid scope computation for location-dependent spatial queriesin mobile and wireless environments", ACM, pp. 131140 Qiuxia Chen, Dik Lun Lee and Wang Lee, 2008, "Rule-Based WiFi Localization Methods", IEEE Computer Society, pp. 252258 Ching-Hua Yu, Wen-Chih Peng and Wang Lee, 2008, "Mining Community Structures in Peer-to-Peer Environments", IEEE Computer Society, pp. 351358 Yang Sun, Huajing Li, Isaac G. Councill, Wang Lee and Clyde L Giles, 2008, "Measuring user preference changes in digital libraries", pp. 14971498 Yang Sun, Huajing Li, Isaac G. Councill, Jian Huang, Wang Lee and C. Lee Giles, 2008, "Personalized ranking for digital libraries based on log analysis", ACM, pp. 133140 Ken C. K. Lee, Wang Lee and Baihua Zheng, 2008, "ROAD: an efficient framework for location dependent spatial querieson road networks", ACM, pp. 13271328 Huajing Li, Zaiqing Nie, Wang Lee, C. Lee Giles and Ji-Rong Wen, 2008, "Scalable community discovery on textual data with relations", ACM, pp. 12031212 Ken C. K. Lee, Josh Schiffman, Baihua Zheng and Wang Lee, 2008, "Valid scope computation for location-dependent spatial query in mobilebroadcast environments", ACM, pp. 12311240 Bruce S. E. Chung, Wang Lee and Arbee L. P. Chen, 2008, "Efficient processing of probabilistic spatio-temporal range queries over moving objects", ACM, pp. 13991400 Yang Song, Ziming Zhuang, Huajing Li, Qiankun Zhao, Jia Li, Wang Lee and Clyde L Giles, 2008, "Real-time Automatic Tag Recommendation", ACM, New York, NY, USA, pp. 515522 Ken C. K. Lee, Wang Lee, Donna J Peuquet and Baihua Zheng, 2008, "Searching Correlated Objects in a Long Sequence", pp. 436454 Mei Li, Ping Xia and Wang Lee, 2008, "Wavenet: A Wavelet-Based Approach to Monitor Changes on Data Distributionin Networks", IEEE Computer Society, pp. 395402 Yingqi Xu, Wang Lee and Gail Mitchell, 2008, "CME: A Contour Mapping Engine in Wireless Sensor Networks", IEEE Computer Society, pp. 133140 Mei Li and Wang Lee, 2008, "Identifying Frequent Items in P2P Systems", IEEE Computer Society, pp. 3644 Baihua Zheng, Ken C. K. Lee and Wang Lee, 2008, "Location-Dependent Skyline Query", IEEE, pp. 148155 Xiao Zhang, Wang Lee, Prasenjit Mitra and Baihua Zheng, 2008, "Processing transitive nearest-neighbor queries in multi-channel access environments", ACM, 261, pp. 452463 Tao-Young Fu, Wen-Chih Peng and Wang Lee, 2007, "Optimizing parallel itineraries for knn query processing in wirelesssensor networks", ACM, pp. 391400 Ken C. K. Lee, Baihua Zheng, Huajing Li and Wang Lee, 2007, "Approaching the Skyline in Z Order", ACM, pp. 279290 Huajing Li, Wang Lee, Anand Sivasubramaniam and Clyde L Giles, 2007, "A Hybrid Cache and Prefetch Mechanism for Scientific Literature Search Engines", Springer, 4607, pp. 121136 Huajing Li, Wang Lee, Anand Sivasubramaniam and Clyde L Giles, 2007, "SearchGen: a synthetic workload generator for scientific literaturedigital libraries and search engines", ACM, pp. 137146 Xiang-Yan Xiao, Wen-Chih Peng, Chih-Chieh Hung and Wang Lee, 2007, "Using sensor ranks for in-network detection of faulty readings in wireless sensor networks", ACM, pp. 18 Ross Rosemark, Wang Lee and Bhuvan Urgaonkar, 2007, "Optimizing Energy-Efficient Query Processing in Wireless Sensor Networks", IEEE, pp. 2429 Yingqi Xu, Wang Lee and Jianliang Xu, 2007, "Analysis of A Loss-Resilient Proactive Data Transmission Protocol in Wireless Sensor Networks", IEEE, pp. 17121720 Padmapriya Ayyagari, Prasenjit Mitra, Dongwon Lee, Peng Liu and Wang Lee, 2007, "Incremental adaptation of XPath access control views", pp. 105116 Wang Lee and Yingqi Xu, 2007, "Location-Aware Wireless Sensor Networks", pp. 227 Tun-Hao You, Wen-Chih Peng and Wang Lee, 2007, "Protecting Moving Trajectories with Dummies", IEEE, pp. 278282 Mei Li, Wang Lee and Anand Sivasubramaniam, 2006, "DPTree: A Balanced Tree Based Indexing Framework for Peer-to-Peer Systems", IEEE Computer Society, pp. 1221 Jae-Woo Chang, Jung-Ho Um and Wang Lee, 2006, "A New Trajectory Indexing Scheme for Moving Objects on Road Networks", pp. 291294 Yingqi Xu and Wang Lee, 2006, "DTTC: Delay-Tolerant Trajectory Compression for Object Tracking Sensor Networks", IEEE Computer Society, pp. 436445 Ken C. K. Lee, Wang Lee, Julian Winter, Baihua Zheng and Jianliang Xu, 2006, "CS cache engine: data access accelerator for location-based servicein mobile environments", ACM, pp. 787789 Wang Lee, Josh Schiffman, Baihua Zheng, Wang Lee and Hong Va Leong, 2006, "Tracking Nearest Surrounders in Moving Object Environments", IEEE Computer Society, pp. 312 Baihua Zheng, Ken C. K. Lee and Wang Lee, 2006, "Transitive Nearest Neighbor Search in Mobile Environments", IEEE Computer Society, pp. 1421 Isaac G. Councill, Huajing Li, Ziming Zhuang, Sandip Debnath, Levent Bolelli, Wang Lee, Anand Sivasubramaniam and Clyde L Giles, 2006, "Learning metadata from the evidence in an on-line citation matching scheme", ACM, pp. 276285 Fengjun Li, Bo Luo, Peng Liu, Dongwon Lee, Prasenjit Mitra, Wang Lee and Chao-Hsien Chu, 2006, "In-broker Access Control: Towards Efficient End-to-End Performance of Information Brokerage Systems", pp. 252-259 Huajing Li, Isaac G. Councill, Levent Bolelli, Ding Zhou, Yang Song, Wang Lee, Anand Sivasubramaniam and Clyde L Giles, 2006, "CiteSeerX: a scalable autonomous scientific digital library", ACM, 152, pp. 18 Mei Li, Guanling Lee, Wang Lee and Anand Sivasubramaniam, 2006, "PENS: an algorithm for density-based clustering in peer-to-peer systems", ACM, 152, pp. 39 Jianliang Xu, Baihua Zheng and Wang Lee, 2006, "Data Access Techniques for Location-Based Services", IEEE Computer Society, pp. 64 Huajing Li, Qingzhao Tan and Wang Lee, 2006, "Efficient progressive processing of skyline queries in peer-to-peer systems", ACM, 152, pp. 26 Huajing Li, Isaac G. Councill, Wang Lee and Clyde L Giles, 2006, "CiteSeerx: an architecture and web service design for an academicdocument search engine", ACM, pp. 883884 Wen-Chih Peng, Yu-Zen Ko and Wang Lee, 2006, "On Mining Moving Patterns for Object Tracking Sensor Networks", pp. 41 Ken C. K. Lee, Wang Lee, Baihua Zheng and Julian Winter, 2006, "Processing Multiple Aggregation Queries in Geo-Sensor Networks", Springer, 3882, pp. 2034 Yingqi Xu, Wang Lee, Jianliang Xu and Gail Mitchell, 2006, "Processing Window Queries in Wireless Sensor Networks", IEEE Computer Society, pp. 70 Minji Wu, Jianliang Xu, Xueyan Tang and Wang Lee, 2006, "Monitoring Top-k Query inWireless Sensor Networks", IEEE Computer Society, pp. 143 Ken C. K. Lee, Wang Lee and Hong Va Leong, 2006, "Nearest Surrounder Queries", IEEE Computer Society, pp. 85 Yingqi Xu and Wang Lee, 2006, "Exploring Spatial Correlation for Link Quality Estimation in Wireless Sensor Networks", IEEE Computer Society, pp. 200211 Ken C. K. Lee, Wang Lee, Baihua Zheng and Jianliang Xu, 2006, "Caching Complementary Space for Location-Based Services", Springer, 3896, pp. 10201038 Yingqi Xu, Wang Lee, Jianliang Xu and Gail Mitchell, 2005, "PSGR: priority-based stateless geo-routing in wireless sensor networks", IEEE Qingzhao Tan, Wang Lee, Baihua Zheng, Peng Liu and Dik Lun Lee, 2005, "Balancing performance and confidentiality in air index", ACM, pp. 800807 Jianliang Xu, Xueyan Tang and Wang Lee, 2005, "EASE: an energy-efficient in-network storage scheme for object tracking in sensor networks", IEEE, pp. 396405 Julian Winter, Yingqi Xu and Wang Lee, 2005, "Energy Efficient Processing of K Nearest Neighbor Queries in Location-awareSensor Networks", IEEE Computer Society, pp. 281292 Qijun Gu, Peng Liu, Wang Lee and Chao-Hsien Chu, 2005, "KTR: an Efficient Key Management Scheme For Air Access Control", IEEE Computer Society, pp. 499501 Ross Rosemark and Wang Lee, 2005, "Decentralizing Query Processing in Sensor Networks", IEEE Computer Society, pp. 270280 Bo Luo, Dongwon Lee, Wang Lee and Peng Liu, 2005, "Deep Set Operators for XQuery" Bin Liu, Wang Lee and Dik Lun Lee, 2005, "Supporting Complex Multi-Dimensional Queries in P2P Systems", IEEE Computer Society, pp. 155164 Wang Lee and Baihua Zheng, 2005, "DSI: A Fully Distributed Spatial Index for Location-Based Wireless Broadcast Services", IEEE Computer Society, pp. 349358 Bin Liu, Wang Lee and Dik Lun Lee, 2005, "Distributed caching of multi-dimensional data in mobile environments", ACM, pp. 229233 Wang Lee and Baihua Zheng, 2005, "DSI: A Fully Distributed Spatial Index for Wireless Data Broadcast", IEEE Computer Society, pp. 417418 Haibo Hu, Jianliang Xu, Wing Sing Wong, Baihua Zheng, Dik Lun Lee and Wang Lee, 2005, "Proactive Caching for Spatial Queries in Mobile Environments", IEEE Computer Society, pp. 403414 Bo Luo, Dongwon Lee, Wang Lee and Peng Liu, 2004, "QFilter: fine-grained run-time XML access control via NFA-based query rewriting", ACM, pp. 543552 Sunho Lim, Wang Lee, Guohong Cao and Chitaranjan Das, 2004, "Performance comparison of cache invalidation strategies for Internet-based mobile ad hoc networks", pp. 104-113 Mei Li, Wang Lee and Anand Sivasubramaniam, 2004, "Semantic Small World: An Overlay Network for Peer-to-Peer Search", pp. 228238 Baihua Zheng, Wang Lee and Dik Lun Lee, 2004, "Search Continuous Nearest Neighbors on the Air", IEEE Computer Society, pp. 236245 Julian Winter and Wang Lee, 2004, "KPT: a dynamic KNN query processing algorithm for location-aware sensor networks", ACM, 72, pp. 119124 Bo Luo, Dongwon Lee, Wang Lee and Peng Liu, 2004, "A Flexible Framework for Architecting XML Access Control Enforcement Mechanisms", Springer, 3178, pp. 133147 Yingqi Xu, Julian Winter and Wang Lee, 2004, "Dual Prediction-Based Reporting for Object Tracking Sensor Networks", IEEE Computer Society, pp. 154163 Jianliang Xu, Wang Lee and Xueyan Tang, 2004, "Exponential Index: A Parameterized Distributed Indexing Scheme for Data on Air", USENIX Mei Li, Wang Lee, Anand Sivasubramaniam and Jing Zhao, 2004, "SSW: A Small-World-Based Overlay for Peer-to-Peer Search", pp. 71-90 Jianliang Xu, Wang Lee and Jiangchuan Liu, 2004, "Scheduling web requests in broadcast environments", ACM, pp. 280281 M. Li, Wang Lee and Anand Sivasubramaniam, 2004, "Efficient peer-to-peer information sharing over mobile ad hoc networks" Baihua Zheng, Jianliang Xu and Wang Lee, 2004, "Data Management in Location-Dependent Information Services", IEEE Computer Society, pp. 871 Baihua Zheng, Jianliang Xu, Wang Lee and Dik Lun Lee, 2004, "Energy-Conserving Air Indexes for Nearest Neighbor Search", Springer, 2992, pp. 4866 Yingqi Xu, Julian Winter and Wang Lee, 2004, "Prediction-Based Strategies for Energy Saving in Object Tracking Sensor Networks", IEEE Computer Society, pp. 346357 Y. Xu and Wang Lee, 2003, "Window Query in Highly Dynamic Sensor Networks: Issues and Solutions", pp. 31-52 Sunho Lim, Wang Lee, Guohong Cao and Chitaranjan Das, 2003, "A novel caching scheme for Internet based mobile ad hoc networks", IEEE, pp. 3843 Dongwon Lee, Wang Lee and Peng Liu, 2003, "Supporting XML Security Models Using Relational Databases: A Vision", Springer, 2824, pp. 267281 Mei Li, Wang Lee and Anand Sivasubramaniam, 2003, "Neighborhood Signatures for Searching P2P Networks", IEEE Computer Society, pp. 149159 Yingqi Xu and Wang Lee, 2003, "On Localized Prediction for Power Efficient Object Tracking in Sensor Networks", IEEE Computer Society, pp. 434439 Sunho Lim, Seung-Taek Park, Wang Lee, Guohong Cao, Chitaranjan Das and Clyde L Giles, 2003, "A Caching Mechanism for Improving Internet based Mobile Ad Hoc Networks Performance" Baihua Zheng, Wang Lee and Dik Lun Lee, 2003, "Selecting the Best Valid Scopes for Wireless Dissemination of Location-dependent Data", ACM, pp. 860865 Baihua Zheng, Wang Lee and Dik Lun Lee, 2003, "Spatial Index on Air", IEEE Computer Society, pp. 297304 Jianliang Xu, Baihua Zheng, Wang Lee and Dik Lun Lee, 2003, "Energy Efficient Index for Querying Location-Dependent Data in Mobile Broadcast Environments", IEEE Computer Society, pp. 239250 Baihua Zheng, Wang Lee and Dik Lun Lee, 2003, "Search K Nearest Neighbors on Air", Springer, 2574, pp. 181195 Jianliang Xu, Qinglong Hu, Wang Lee and Dik Lun Lee, 2001, "An Optimal Cache Replacement Policy for Wireless Data Dissemination under Cache Consistency", IEEE Computer Society, pp. 267276 Xin Zhang, Gail Mitchell, Wang Lee and Elke A. Rundensteiner, 2001, "Clock: Synchronizing Internal Relational Storage with External XML Documents", IEEE Computer Society, pp. 111118 Jianliang Xu, Qinglong Hu, Dik Lun Lee and Wang Lee, 2000, "SAIU: An Efficient Cache Replacement Policy for Wireless On-demand Broadcasts", ACM, pp. 4653 Sandeep K. Gupta, Wang Lee and Pradip K. Srimani, 2000, "Message from the Chairs", pp. 3 Wang Lee, Gail Mitchell and Xin Zhang, 2000, "Integrating XML Data with Relational Databases", pp. F47F53 Qinglong Hu, Wang Lee and Dik Lun Lee, 2000, "Power Conservative Multi-Attribute Queries on Data Broadcast", pp. 157166 Wang Lee, Johnson Lee and Karen E. Huff, 1999, "On Simulation Modeling of Information Dissemination Systems in Mobile Environments", pp. 4557 Qinglong Hu, Wang Lee and Dik Lun Lee, 1999, "Indexing Techniques for Wireless Data Broadcast Under Data Clusteringand Scheduling", pp. 351358 Qinglong Hu, Dik Lun Lee and Wang Lee, 1999, "Performance Evaluation of a Wireless Hierarchical Data Dissemination System", pp. 163173 Qinglong Hu, Dik Lun Lee and Wang Lee, 1998, "Dynamic Data Delivery in Wireless Communication Environments", pp. 218229 Dik Lun Lee, Qinglong Hu and Wang Lee, 1998, "Indexing Techniques for Data Broadcast on Wireless Channelsrmulti", pp. 175182 Qinglong Hu, Dik Lun Lee and Wang Lee, 1998, "Optimal Channel Allocation for Data Dissemination in Mobile Computing Environments", pp. 480487 Wang Lee and Gail Mitchell, 1998, "A framework for TMN-CORBA interoperability", pp. 9099 Q. Hu, Duk Lun Lee and Wang Lee, 1998, "A comparison of indexing methods for data broadcast on the air", pp. 656-659 Wang Lee, Qinglong Hu and Dik Lun Lee, 1997, "Channel Allocation Methods for Data Dissemination in Mobile Computing Environments", pp. 274281 Wang Lee and Wang Lee, 1996, "Information filtering in wireless and mobile environments", pp. 508-514 Dik Lun Lee and Wang Lee, 1996, "Signature path dictionary for nested object query processing", pp. 275-281 Wang Lee and Dik Lun Lee, 1995, "Combining Indexing Technique with Path Dictionary for Nested Object Queries", pp. 107114 Wang Lee and Dik Lun Lee, 1995, "On Processing Nested Queries in Distributed Object-Oriented DatabaseSystems", pp. 1017 Wang Lee and Dik Lun Lee, 1994, "Short Cuts for Traversals in Object-Oriented Database Systems", pp. 11721177 Dik Lun Lee and Wang Lee, 1994, "Using Path Information for Query Processing in Object-Oriented Database Systems", pp. 6471 Wang Lee and Dik L. Lee, 1992, "Signature File Methods For Indexing Object-Oriented Database Systems", pp. 616622 Wang Lee and K.-A. Hwang, 1986, "Message Control Program: a Remote Access Facility in Uni-net", pp. 624-628 Wang Lee and W.-P. Yang, 1985, "Form Support System", pp. 617-624 C.-Y. Shen, C. Fotsing, D.-N. Yang, Y.-S. Chen and Wang Lee, , "On Organization of Online Soirees for Live Multi-Streaming", The AAAI Press Y.-S. Lin, P. Yin and Wang Lee, , "Modeling Dynamic Competition on Crowdfunding Markets", ACM Z. Luo, S. Cai, J. Gao, M. Zhang, K.Y. Ngiam, G. Chen and Wang Lee, , "Adaptive Lightweight Regularization Tool for Complex Analytics", ACM Technical Reports X. Liu, M. Ye, J. Xu, Y. Tian and Wang Lee, 2009, "k-selection over Uncertain Data" R. Rosemark, Bhuvan Urgaonkar, Wang Lee and D. Lee, 2006, "Optimizing Energy-Efficient Query Processing in Sensor Networks" Y. Xu, J. Xu and Wang Lee, 2006, "Loss-Resilient Proactive Data Transmission in Wireless Sensor Networks" C.K. Lee, Wang Lee, B. Zheng and J. Xu, 2005, "Caching Complementary Space for Location-Based Services" Y. Xu, Wang Lee, J. Xu and G. Mitchell, 2004, "PSGR: Priority-based Stateless Geo-Routing in Highly Dynamic Sensor Networks" M. Li, Wang Lee and Anand Sivasubramaniam, 2003, "Constructing a Semantic Smart World in P2P Systems" S. Lim, S.-T. Park, Wang Lee, Guohong Cao, Chitaranjan Das and Clyde L Giles, 2002, "An Aggregate Caching for Internet Based Mobile Ad Hoc Networks" Other Dik Lun Lee and Wang Lee, 1996, "On Signature Caching of Wireless Broadcast and Filtering Services", pp. 15-24 Research Projects Honors and Awards Service Service to Penn State: Service to External Organizations: diff --git a/src/data/compiled_bios/1512.txt b/src/data/compiled_bios/1512.txt new file mode 100644 index 0000000000..16f4cd486f --- /dev/null +++ b/src/data/compiled_bios/1512.txt @@ -0,0 +1 @@ + Yanxi Liu Professor Affiliation(s): School of Electrical Engineering and Computer Science Computer Science and Engineering Electrical Engineering W372 Westgate Building yul11@psu.edu 814-865-7495 Personal or Departmental Website Research Areas: Signal Image Processing Education Publications Book, Chapters Yanxi Liu, 2014, Computational Symmetry, pp. 136145 Journal Articles P. J. Kohler, A. Clarke, A. Yakovleva, Yanxi Liu and M. Norcia, 2016, "Representation of maximally Regular Textures in Human Visual Cortex", The Journal of Neuroscience, 36, (3), pp. 714-729 Minwoo Park, Jiebo Luo, Robert Collins and Yanxi Liu, 2014, "Estimating the camera direction of a geotagged image using referenceimages", Pattern Recognition, 47, (9), pp. 28802893 S. Lee* and Yanxi Liu, 2012, "Curved Glide-Reflection Symmetry Detection", IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), 34, (2), pp. 266-278 S. Lee and Yanxi Liu, 2011, "Curved Glide-Reflection Symmetry Detection", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) S. Lee and Yanxi Liu, 2010, "Skewed Rotation Symmetry Group Detection", 32, (9), pp. 1659-1672 Yanxi Liu, H. Hel-Or, C. S. Kaplan and L. Van Gool, 2010, "Computational Symmetry in Computer Vision and Computer Graphics: A Survey", Foundations and Trends in Computer Graphics and Vision, 5, (1-2), pp. 1-195 M. Park, K. Brocklehurst, R. Collins and Yanxi Liu, 2009, "Deformed Lattice Detection in Real-World Images using Mean-Shift Belief Propagation", IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Special Issue on Probilistic Graphical Models, 31, (10), pp. 1804-1816 O. Carmichael, L. H. Kuller, O. L. Lopez, P. M. Thompson, R. A. Dutton, A. Lu, S. E. Lee, J. Y. Lee, H. J. Aizenstein, C. C. Meltzer, Yanxi Liu, A. W. Toga and J. T. Becker, 2007, "Acceleration of Cerebral Ventricular Expansion in the Cardiovascular Health Study", Neurobiology of Aging, 28, (9), pp. 1316-1321 E. Chastain and Yanxi Liu, 2007, "Quantified Symmetry for Entorhinal Spatial Maps", Neurocomputing Journal, Special Issue, 70, (10-12), pp. 1723-1727 W.-C. Lin and Yanxi Liu, 2007, "A Lattice-based MRF Model for Dynamic Near-regular Texture Tracking", IEEE Transactions on Pattern Analysis and Machine Intelligence, 29, (5), pp. 777-792 O. Carmichael, L. H. Kuller, O. Lopez, P. M. Thompson, R. A. Dutton, A. Lu, S. E. Lee, J. Y. Lee, H. Aizenstein, C. Meltzer, Yanxi Liu, A. W. Toga and J. Becker, 2007, "Longitudinal Changes in Cerebral Ventricles in the Cardiovascular Health Study", Alzheimer's Disease and Associated Disorders O. Carmichael, L. H. Kuller, O. L. Lopez, P. M. Thompson, A. Lu, S. E. Lee, J. Y. Lee, H. J. Aizenstein, C. C. Meltzer, Yanxi Liu, A. W. Toga and J. T. Becker, 2007, "Ventricular Volume and Dementia Progression in the Cardiovascular Health Study", Neurobiology of Aging, 28, (3), pp. 389-397 O. Carmichael, L. H. Kuller, O. Lopez, P. M. Thompson, R. A. Dutton, A. Lu, S. E. Lee, J. Y. Lee, H. Aizenstein, C. Meltzer, Yanxi Liu, A. W. Toga and J. Becker, 2007, "Cerebral Ventricular Changes Associated with Transitions Between Normal Cognitive Function, Mild Cognitive Impairment, and Dementia", Alzheimer's Disease and Associated Disorders, 21, (1), pp. 14-24 S. Mittra, N. Lazar and Yanxi Liu, 2007, "Understanding the Role of Facial Asymmetry in Human Face Identification", Statistics and Computing, 17, pp. 57-70 Conference Proceedings Mark Wolff, Robert Collins and Yanxi Liu, 2016, "Regularity Driven Facade Matching Between Aerial and Street Views", IEEE Computer Society, 2016 January, pp. 1591-1600 C. Funk and Yanxi Liu, 2016, "Symmetry reCAPTCHA", IEEE Computer Society I.-Kao Chiang, Ian Spiro, Seungkyu Lee, Alyssa Lees, Jingchen Liu, Chris Bregler and Yanxi Liu, 2015, "Dancing with Turks", pp. 241250 Jingchen Liu, Thommen Korah, Varsha Hedau, Vasu Parameswaran, Radek Grzeszczuk and Yanxi Liu, 2014, "Entrance Detection from Street-View Images", pp. 1 Jingchen Liu and Yanxi Liu, 2014, "Local Regularity-Driven City-Scale Facade Detection from Aerial Images", IEEE, pp. 37783785 Chen-Ping Yu, Guilherme C. S. Ruppert, Robert Collins, Dan T. D. Nguyen, Alexandre X. Falcao and Yanxi Liu, 2014, "3D blob based brain tumor detection and segmentation in MR images", IEEE, pp. 11921197 J. Liu, P. Carr, R. Collins and Yanxi Liu, 2013, "Tracking Sports Players with Context-Conditioned Motion Models", Proceedings of the Twenty-Sixth IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2013), pp. 1830-1837 J. Liu and Yanxi Liu, 2013, "GRASP Recurring Patterns from a Single View", Proceedings of the Twenty-Sixth IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2013), pp. 2003-2010 J. Liu, G. Slota, G. Zheng, Z. Wu, M. Park, S. Lee, I. Rauschert and Yanxi Liu, 2013, "Symmetry Detection from Real World Images Competition 2013: Summary and Results", Proceedings of the CVPR Workshop on Symmetry Detection Algorithm Competition, in conjunction with CVPR 2013, pp. 6 J. Liu, R. Collins and Yanxi Liu, 2013, "Robust Autocalibration for Surveillance Camera Network", Proceedings of the Workshop on the Applications of Computer Vision (WACV 2013), pp. 433-440 J. Liu*, S. McCloskey and Yanxi Liu, 2012, "Training Data Recycling for Multi-Level Learning", Proceedings of the Twenty-First International Conference on Pattern Recognition (ICPR 2012), pp. 2314-2318 J. Liu*, S. McCloskey and Yanxi Liu, 2012, "Local Expert Forest of Score Fusion for Video Event Classification", Proceedings of the Twelfth European Conference on Computer Vision (ECCV 2012), pp. 397-410 C. Yu*, G. Ruppert, D. Nguyen, A. X. Falcao and Yanxi Liu, 2012, "Statistical Asymmetry-based Brain Tumor Segmentation from 3D MR Images", Proceedings of the Fifth International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2012), pp. 527-533 J. Liu, R. Collins and Yanxi Liu, 2011, "Automated Surveillance Calibration Based on Pedestrian Height Distributions", Proceedings of the Twenty-Second British Machine Vision Conference (BMVC 2011), pp. 117.1-117.11. G. Ruppert, L. Teverovskiy, C.-P. Yu, A. Falcao and Yanxi Liu, 2011, "A New Symmetry-based Method for Mid-sagittal Plane Extraction in Neuroimages", Proceedings of the Eighth International Symposium on Biomedical Imaging (ISBI 2011), pp. 285-288 M. Park, K. Brocklehurst, R. Collins and Yanxi Liu, 2010, "Translational Symmetry-based Perceptual Grouping with Applications to Urban Scenes", Proceedings of the Tenth Asian Conference on Computer Vision (ACCV 2010), pp. 329-342 M. Park, K. Brocklehurst, R. Collins and Yanxi Liu, 2010, "Image De-fencing Revisited", Proceedings of the Tenth Asian Conference on Computer Vision (ACCV 2010) J. Liu and Yanxi Liu, 2010, "Curved Reflection Symmetry Detection with Self-Validation. Proceedings of the Tenth Asian Conference on Computer Vision (ACCV 2010)", Proceedings of the Tenth Asian Conference on Computer Vision (ACCV 2010) M. Park, J. Luo, R. T. Collins and Yanxi Liu, 2010, "Beyond GPS: Determining the Camera Viewing Direction of a Geotagged Image", Proceedings of the Eighteenth International Conference on Multimedia (ACM Multimedia 2010), pp. 631-634 J. Liu and Yanxi Liu, 2010, "Multi-Target Tracking of Time-varying Spatial Patterns", Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2010), pp. 1839-1846 M. Park, S. Kashyap, R. Collins and Yanxi Liu, 2010, "Data Driven Mean-Shift Belief Propagation For non-Gaussian MRFs", Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2010), pp. 3547-3554 S. Lee and Yanxi Liu, 2009, "Curved Glide Reflection Symmetry Detection", Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), pp. 1046-1053 M. Park, R. Collins and Yanxi Liu, 2008, "Deformed Lattice Detection via Mean-Shift Belief Propagation", Proceedings of the Tenth European Conference on Computer Vision (ECCV 2008), pp. 474-485 B. A. Canada, G. K. Thomas, K. C. Cheng, J. Z. Wang and Yanxi Liu, 2008, "Automatic Lattice Detection in Near-Regular Histology Array Images", Proceedings of the 2008 IEEE International Conference on Image Processing (ICIP 2008), pp. 1452-1455 B. A. Canada, G. K. Thomas, K. C. Cheng, J. Z. Wang and Yanxi Liu, 2008, "Towards Efficient Automated Characterization of irregular Histology Images via Transformation to Frieze-Like Patterns", Proceedings of the ACM International Conference on Image and Video Retrieval (CIVR 2008), pp. 581-590 G. Schindler, K. Panchapagesan, R. Lublinerman, Yanxi Liu and F. Dellaert, 2008, "Detecting and Matching Repeated Patterns for Automatic Geo-tagging in Urban Environments", Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), pp. 7 S. Lee, Yanxi Liu and R. Collins, 2008, "Rotation Symmetry Group Detection via Frequency Analysis of Frieze-Expansions", Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), pp. 8 M. Park, S. Lee, S. Kashyap, P.-C. Chen, A. Butt and Yanxi Liu, 2008, "Performance Evaluation of State-of-the-Art Discrete Symmetry Detection Algorithms", Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), pp. 8 Yanxi Liu, J. Hays, R. Lublinerman and T. Belkina, 2008, "Image De-fencing", Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), pp. 8 M. Park, R. Collins and Yanxi Liu, 2008, "Efficient Mean Shift Belief Propagation for Vision Tracking", Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), pp. 8 L. Teverovskiy, J. Becker, O. Lopez and Yanxi Liu, 2008, "Quantified Brain Asymmetry for Age Estimation of Normal and AD/MCI Subjects", Proceedings of the Fifth IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2008), pp. 1509-1512 S. Lee, Yanxi Liu and R. Collins, 2007, "Shape Variation-based Frieze Pattern for Robust Gait Recognition", Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), pp. 8 Yanxi Liu, L. Teverovskiy, O. Lopez, H. Aizenstein, C. Meltzer and J. Becker, 2007, "Discovery of Biomarkers for Alzheimer's Disease Prediction from Structural MR Images", Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2007), pp. 576-579 L. Teverovskiy, O. Carmichael, H. Aizenstein, N. Lazar and Yanxi Liu, 2007, "Feature-based vs. Intensity-based Neuroimage Registration: Comprehensive Comparison Using Mutual Information", Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI 2007), pp. 1344-1347 J. Zhang, J. Lou, R. T. Collins and Yanxi Liu, 2006, "Body Localization in Still Images Using Hierarchical Models and Hybrid Search", Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), pp. 1536-1543 W.-C. Lin, J. Hays, C. Wu, Yanxi Liu and V. Kwatra, 2006, "Quantitative Evaluation of Near Regular Texture Synthesis Algorithms", Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), pp. 427-434 J. Hays, M. Leordeanu, A. A. Efros and Yanxi Liu, 2006, "Discovering Texture Regularity as a Higher-Order Correspondence Problem", Proceedings of the Ninth European Conference on Computer Vision (ECCV 2007), pp. 522-535 W.-C. Lin and Yanxi Liu, 2006, "Tracking Dynamic Near-regular Textures under Occlusion and Rapid Movements", Proceedings of the Ninth European Conference on Computer Vision (ECCV 2007), pp. 44-55 Manuscripts O. Carmichael, L. H. Kuller, O. Lopez, P. M. Thompson, R. A. Dutton, A. Lu, S. E. Lee, J. Y. Lee, H. Aizenstein, C. Meltzer, Yanxi Liu, A. W. Toga and J. Becker, , "Longitudal Changes in Cerebral Ventricles in the Cardiovascular Health Study", International Journal on Alzheimer's Disease and Associated Disorders Other D. Koshy, C.-P. Yu, D. Nguyen, S. Kashyap, R. Collins and Yanxi Liu, 2011, "Supervised Machine Learning for Brain Tumor Detection in Structural MRI", pp. 1 E. Chastain and Yanxi Liu, 2006, "Quantified Symmetry for Entorhinal Spatial Maps", pp. 3 L. Teverovskiy and Yanxi Liu, 2006, "Truly 3D Midsagittal Plane Extraction for Robust Neuroimage Registration", pp. 4 O. Carmichael, P. Thompson, R. A. Dutton, A. Lu, S. Lee, J. Lee, L. Kuller, O. Lopez, H. Aizenstein, C. Cidis Meltzer, Yanxi Liu, A. W. Toga and J. Becker, 2006, "Mapping Ventricular Changes Related to Dementia and Mild Cognitive Impairment in a Large Community-based Cohort", pp. 4 Research Projects Honors and Awards Service Service to Penn State: Service to External Organizations: diff --git a/src/data/compiled_bios/1513.txt b/src/data/compiled_bios/1513.txt new file mode 100644 index 0000000000..18d5f326ac --- /dev/null +++ b/src/data/compiled_bios/1513.txt @@ -0,0 +1 @@ + Kamesh Madduri Associate Professor Affiliation(s): School of Electrical Engineering and Computer Science Computer Science and Engineering W312 Westgate Building kxm85@psu.edu 814-865-0883 Personal or Departmental Website Research Areas: Interest Areas: Combinatorial scientific computing; scalable scientific data analysis and management; parallel graph algorithms, with applications to computational biology and social network analysis Education B Tech, Electrical Engineering, Indian Institute of Technology Madras, 2004 Ph D, Computer Science, Georgia Institute of Technology, 2008 Publications Book, Chapters Aydin Buluc and Kamesh Madduri, 2013, Graph partitioning for scalable distributed graph computations, American Mathematical Society, pp. 81-100 David Bader and Kamesh Madduri, 2012, Computational Challenges in Emerging Combinatorial Scientific Computing Applications, Chapman & Hall/CRC Computational Science, pp. 471-494 Kamesh Madduri, 2011, SNAP (Small-World Network Analysis and Partitioning) Framework, Springer, pp. 18321837 David A Bader, Christine E Heitsch and Kamesh Madduri, 2010, Large-scale Network Analysis, SIAM, pp. 253-285 David A Bader, Virat Agarwal, Kamesh Madduri and Fabrizio Petrini, 2010, Combinatorial Algorithm Design on the Cell/B.E. Processor, Chapman & Hall/CRC Computational Science, pp. 195-216 Kamesh Madduri, David A Bader, Jonathan W Berry and Joseph R Crobak, 2009, Parallel Shortest Path Algorithms for Solving Large-scale Instances, American Mathematical Society, pp. 249-290 Kamesh Madduri, David A Bader, Jonathan W Berry, Joseph R Crobak and Bruce A Hendrickson, 2008, Multithreaded Algorithms for Processing Massive Graphs, Chapman & Hall/CRC Computational Science, pp. 237-262 David A Bader, Kamesh Madduri, Guojing Cong and John Feo, 2007, Design of Multithreaded Algorithms for Combinatorial Problems, Chapman & Hall/CRC Computer and Information Science Series, pp. 29 Journal Articles Lorne Leonard, Alan Maceachren and Kamesh Madduri, 2017, "Graph-based visual analysis for large-scale hydrological modeling", SAGE Information Visualization, 16, (3), pp. 205-216 Bei Wang, Stephane Ethier, William Tang, Khaled Z. Ibrahim, Kamesh Madduri, Samuel Williams and Leonid Oliker, 2017, "Modern Gyrokinetic Particle-In-Cell Simulation of Fusion Plasmas on Top Supercomputers", SAGE International Journal of High Performance Computing Applications (IJHPCA), pp. 1-20 George M Slota, Kamesh Madduri and Sivasankaran Rajamanickam, 2016, "Complex Network Partitioning using Label Propagation", SIAM Journal on Scientific Computing, 38, (5), pp. S620S645 Lorne Leonard, Kamesh Madduri and Christopher J Duffy, 2016, "Tuning Heterogeneous Computing Platforms for Large-scale Hydrology Data Management", IEEE Transactions on Parallel and Distributed Systems, 27, (9), pp. 2753-2765 George M. Slota and Kamesh Madduri, 2015, "Parallel color-coding", Parallel Computing, 47, pp. 5169 Khaled Z Ibrahim, Kamesh Madduri, Samuel Williams, Bei Wang, Stphane Ethier and Leonid Oliker, 2013, "Analysis and optimization of gyrokinetic toroidal simulations on homogenous and heterogenous platforms", International Journal of High Performance Computing Applications, 27, (4), pp. 454473 Kamesh Madduri, Jimmy Su, Samuel Williams, Leonid Oliker, Stphane Ethier and Katherine A. Yelick, 2012, "Optimization of Parallel Particle-to-Grid Interpolation on Leading Multicore Platforms", IEEE Transactions on Parallel and Distributed Systems, 23, (10), pp. 19151922 Kamesh Madduri, Eun-Jin Im, Khaled Z. Ibrahim, Samuel Williams, Stphane Ethier and Leonid Oliker, 2011, "Gyrokinetic particle-in-cell optimization on emerging multi- and manycore platforms", Parallel Computing, 37, (9), pp. 501520 K. Subramani and Kamesh Madduri, 2010, "Two-level heaps: a new priority queue structure with applications to the single source shortest path problem", Computing, 90, (3-4), pp. 113130 James B. Orlin, Kamesh Madduri, K. Subramani and Matthew D. Williamson, 2010, "A faster algorithm for the single source shortest path problem with few distinct positive lengths", Journal of Discrete Algorithms, 8, (2), pp. 189198 K. Subramani, C. Tauras and Kamesh Madduri, 2010, "Space-time tradeoffs in negative cycle detection - an empirical analysis of the Stressing Algorithm", Applied Mathematics and Computation, 215, (10), pp. 35633575 David A. Bader and Kamesh Madduri, 2008, "A graph-theoretic analysis of the human protein-interaction network using multicore parallel algorithms", Parallel Computing, 34, (11), pp. 627639 K. Subramani and Kamesh Madduri, 2008, "A Randomized Queueless Algorithm for Breadth-First Search", International Journal of Computers and Their Applications, 15, (3), pp. 177186 David A. Bader, Virat Agarwal, Kamesh Madduri and Seunghwa Kang, 2007, "High performance combinatorial algorithm design on the cell broadband engine processor", Parallel Computing, 33, (10-11), pp. 720740 Conference Proceedings Humayun Kabir and Kamesh Madduri, 2017, "Shared-memory Graph Truss Decomposition", Proceedings of the 24th IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC), Jaipur, India, pp. 13-22 Vasudevan Rengasamy, Tao-Yang Fu, Wang Lee and Kamesh Madduri, 2017, "Optimizing Word2Vec Performance on Multicore Systems", Proceedings of the 7th Workshop on Irregular Applications: Architectures and Algorithms (IA3), Denver, CO, pp. 1-9 Jagadish B Kotra, Seongbeom Kim, Kamesh Madduri and Mahmut T Kandemir, 2017, "Congestion-Aware Memory Management on NUMA Platforms: A VMware ESXi case study", Proceedings of the 13th IEEE International Symposium on Workload Characterization (IISWC), Seattle, WA, pp. 146-155 Humayun Kabir and Kamesh Madduri, 2017, "Parallel k-truss Decomposition on Multicore Systems", Proceedings of the 21st IEEE High Performance Extreme Computing (HPEC) Conference, Waltham, MA, pp. 1-7 Humayun Kabir and Kamesh Madduri, 2017, "Parallel k-core Decomposition on Multicore Platforms", Proceedings of the Second IEEE Workshop on Parallel and Distributed Processing for Computational Social Systems (ParSocial), Orlando, FL, pp. 1482-1491 Ramachandran K. Narayanan and Kamesh Madduri, 2017, "Parallel Particle-in-Cell Performance Optimization: A Case Study of Electrospray Simulation", Proceedings of the 18th IEEE International Workshop on Parallel and Distributed Scientific and Engineering Computing (PDSEC), Orlando, FL, pp. 1158-1167 Hongyuan Zhan and Kamesh Madduri, 2017, "Analyzing Community Structure in Networks", Proceedings of the First IEEE Workshop on the Intersection of Graph Algorithms and Machine Learning (GraML), Orlando, FL, pp. 1540-1547 Sindhuja Parimalarangan, George M. Slota and Kamesh Madduri, 2017, "Fast Parallel Graph Triad Census and Triangle Counting on Shared-memory Platforms", Proceedings of the Second IEEE Workshop on Parallel and Distributed Processing for Computational Social Systems (ParSocial), Orlando, FL, pp. 1500-1509 George M. Slota, Sivasankaran Rajamanickam, Karen Devine and Kamesh Madduri, 2017, "Partitioning Trillion-Edge Graphs in Minutes", Proceedings of the 31st IEEE International Parallel and Distributed Processing Symposium (IPDPS), Orlando, FL, pp. 646-655 George M. Slota, Sivasankaran Rajamanickam and Kamesh Madduri, 2017, "Order or Shuffle: Empirically Evaluating Vertex Order Impact on Parallel Graph Computations", Proceedings of the 4th IEEE Workshop on Graph Algorithms Building Blocks (GABB), Orlando, FL, pp. 588-597 Vasudevan Rengasamy, Paul Medvedev and Kamesh Madduri, 2017, "Parallel and Memory-efficient Preprocessing for Metagenome Assembly", Proceedings of the 16th IEEE International Workshop on High Performance Computational Biology (HiCOMB), Orlando, FL, pp. 283-292 William Tang, Bei Wang, Stephane Ethier, Grzegorz Kwasniewski, Torsten Hoefler, Khaled Z Ibrahim, Kamesh Madduri, Samuel Williams, Leonid Oliker, Carlos Rosales-Fernandez and Tim Williams, 2016, "Extreme Scale Plasma Turbulence Simulations on Top Supercomputers Worldwide", Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis (SC 2016), Salt Lake City, UT George Slota, Sivasankaran Rajamanickam and Kamesh Madduri, 2016, "HPCGraph: Benchmarking Massive Graph Analytics on Supercomputers", pp. 2 Vasudevan Rengasamy and Kamesh Madduri, 2016, "SPRITE: A Fast Parallel SNP Detection Pipeline", pp. 159-177 George M Slota, Sivasankaran Rajamanickam and Kamesh Madduri, 2016, "A Case Study of Complex Graph Analysis in Distributed Memory: Implementation and Optimization", pp. 293-302 Hongyuan Zhan and Kamesh Madduri, 2016, "Graph Sparsification as a Knapsack Problem Formulation", pp. 8 Lorne Leonard, Kamesh Madduri and Christopher J Duffy, 2015, "Graph-based Analysis for Large-scale Hydrological Modelling", pp. 4 Kamesh Madduri, Vasudevan Rengasamy and Paul Medvedev, 2015, "SPRITE: A fast parallel SNP detection pipeline (poster)", pp. 1 George M. Slota, Sivasankaran Rajamanickam and Kamesh Madduri, 2015, "High-Performance Graph Analytics on Manycore Processors", pp. 1727 George M Slota and Kamesh Madduri, 2014, "Simple Parallel Biconnectivity Algorithms for Multicore Platforms", pp. 10 George M Slota and Kamesh Madduri, 2014, "Parallel complex network partitioning (poster)", pp. 1 George M Slota, Kamesh Madduri and Sivasankaran Rajamanickam, 2014, "PuLP: Scalable multi-objective multi-constraint partitioning for small-world networks", pp. 481-490 Thap Panitanarak and Kamesh Madduri, 2014, "Performance analysis of single-source shortest path algorithms on distributed-memory systems", pp. 60-63 George M Slota, Sivasankaran Rajamanickam and Kamesh Madduri, 2014, "BFS and coloring-based parallel algorithms for strongly connected components and related problems", pp. 550559 George M Slota and Kamesh Madduri, 2014, "Complex network analysis using parallel approximate motif counting", pp. 405414 Jee Choi, Aparna Chandramowlishwaran, Kamesh Madduri and Richard Vuduc, 2014, "A CPU: GPU hybrid implementation and model-driven scheduling of the fast multipole method", pp. 8 Bei Wang, Stphane Ethier, William M. Tang, Timothy J. Williams, Khaled Z. Ibrahim, Kamesh Madduri, Samuel Williams and Leonid Oliker, 2013, "Kinetic turbulence simulations at extreme scale on leadership-class systems", pp. 12 George M Slota and Kamesh Madduri, 2013, "Fast Approximate Subgraph Counting and Enumeration", pp. 210219 George Slota and Kamesh Madduri, 2013, "FASCIA: Fast Approximate Subgraph Counting and Enumeration (poster)", pp. 1 David Hadka, Kamesh Madduri and Patrick M Reed, 2013, "Scalability Analysis of the Asynchronous, Master-Slave Borg Multiobjective Evolutionary Algorithm", pp. 425434 Michael R. Frasca, Kamesh Madduri and Padma Raghavan, 2012, "NUMA-aware graph mining techniques for performance and energy efficiency", pp. 11 Bei Wang, Stphane Either, William M. Tang, Khaled Z. Ibrahim, Kamesh Madduri, Samuel W. Williams, Leonid Oliker and Timothy J. Williams, 2012, "Advances in Gyrokinetic Particle in Cell Simulation for Fusion Plasmas to Extreme Scale (poster)", pp. 14391440 Aparna Chandramowlishwaran, JeeWhan Choi, Kamesh Madduri and Richard W. Vuduc, 2012, "Brief announcement: towards a communication optimal fast multipole method and its implications at exascale", pp. 182184 Aydin Buluc and Kamesh Madduri, 2012, "Graph partitioning for scalable distributed graph computations", pp. 16 Aydin Buluc and Kamesh Madduri, 2011, "Parallel breadth-first search on distributed memory systems", pp. 12 Kamesh Madduri, Khaled Z. Ibrahim, Samuel Williams, Eun-Jin Im, Stphane Ethier, John Shalf and Leonid Oliker, 2011, "Gyrokinetic toroidal simulations on leading multi- and manycore HPC systems", pp. 12 Kamesh Madduri and Kesheng Wu, 2011, "Massive-Scale RDF Processing Using Compressed Bitmap Indexes", pp. 470479 Rajesh Sudarsan, Julian Borrill, Christopher Cantalupo, Theodore Kisner, Kamesh Madduri, Leonid Oliker, Yili Zheng and Horst Simon, 2011, "Cosmic microwave background map-making at the petascale and beyond", pp. 305316 Aparna Chandramowlishwaran, Kamesh Madduri and Richard W. Vuduc, 2010, "Diagnosis, Tuning, and Redesign for Multicore Performance: A Case Study of the Fast Multipole Method", pp. 12 E. Strohmaier, S. Williams, A. Kaiser, Kamesh Madduri, K. Ibrahim, D. Bailey and J. Demmel, 2010, "A Kernel Testbed for Parallel Architecture, Language, and Performance Research", pp. 1297-1300 Kesheng Wu, Kamesh Madduri and Shane Canon, 2010, "Multi-level bitmap indexes for flash memory storage", pp. 114116 A. Kaiser, S. Williams, Kamesh Madduri, K. Ibrahim, D. Bailey, J. Demmel and E. Strohmaier, 2010, "A Principled Kernel Testbed for Hardware/Software Co-Design Research", pp. 7 Kamesh Madduri and Kesheng Wu, 2009, "Efficient joins with compressed bitmap indexes", pp. 10171026 Kamesh Madduri, Samuel Williams, Stphane Ethier, Leonid Oliker, John Shalf, Erich Strohmaier and Katherine A. Yelick, 2009, "Memory-efficient optimization of Gyrokinetic particle-to-grid interpolation for multicore processors", pp. 12 K. Subramani and Kamesh Madduri, 2009, "Two-Level Heaps: A New Priority Queue Structure with Applications to the Single Source Shortest Path Problem", pp. 186196 Xiaofeng Gu, Kamesh Madduri, K. Subramani and Hong-Jian Lai, 2009, "Improved Algorithms for Detecting Negative Cost Cycles in Undirected Graphs", pp. 4050 Kamesh Madduri, David Ediger, Karl Jiang, David A. Bader and Daniel G. Chavarra-Miranda, 2009, "A faster parallel algorithm and efficient multithreaded implementations for evaluating betweenness centrality on massive datasets", pp. 8 Kamesh Madduri and David A. Bader, 2009, "Compact graph representations and parallel connectivity algorithms for massive dynamic network analysis", pp. 11 David A. Bader and Kamesh Madduri, 2008, "SNAP: Small-world Network Analysis and Partitioning: An open-source parallel graph framework for the exploration of large-scale networks", pp. 12 K. Subramani and Kamesh Madduri, 2007, "Accomplishing Approximate FCFS Fairness Without Queues", pp. 540551 David A. Bader, Shiva Kintali, Kamesh Madduri and Milena Mihail, 2007, "Approximating Betweenness Centrality", pp. 124137 David A. Bader and Kamesh Madduri, 2007, "A Graph-Theoretic Analysis of the Human Protein-Interaction Network Using Multicore Parallel Algorithms", pp. 8 David A. Bader, Virat Agarwal and Kamesh Madduri, 2007, "On the Design and Analysis of Irregular Algorithms on the Cell Processor: A Case Study of List Ranking", pp. 10 David A. Bader, Varun Kanade and Kamesh Madduri, 2007, "SWARM: A Parallel Programming Framework for Multicore Processors", pp. 8 Joseph R. Crobak, Jonathan W. Berry, Kamesh Madduri and David A. Bader, 2007, "Advanced Shortest Paths Algorithms on a Massively-Multithreaded Architecture", pp. 8 Kamesh Madduri, David A. Bader, Jonathan W. Berry and Joseph R. Crobak, 2007, "An Experimental Study of a Parallel Shortest Path Algorithm for Solving Large-Scale Graph Instances" Kamesh Madduri, D. Bader, J. Berry and J. Crobak, 2006, "Parallel Shortest Path Algorithms for Solving Large-scale Instances", pp. 40 David A. Bader and Kamesh Madduri, 2006, "Designing Multithreaded Algorithms for Breadth-First Search and st-connectivity on the Cray MTA-2", pp. 523530 David A. Bader and Kamesh Madduri, 2006, "Parallel Algorithms for Evaluating Centrality Indices in Real-world Networks", pp. 539550 David A. Bader and Kamesh Madduri, 2005, "Design and Implementation of the HPCS Graph Analysis Benchmark onSymmetric Multiprocessors", pp. 465476 David A. Bader and Kamesh Madduri, 2004, "A Parallel State Assignment Algorithm for Finite State Machines", pp. 297308 Kamesh Madduri, K. H. Aparna and V. S. Chakravarthy, 2004, "PATRAM: A handwritten word processor for Indian languages", pp. 557562 Technical Reports George Slota, Kamesh Madduri and Sivasankaran Rajamanickam, 2014, "BFS and Coloring-based Parallel Algorithms for Strongly Connected Components and Related Problems" George M Slota and Kamesh Madduri, 2014, "Complex Network Analysis using Parallel Approximate Motif Counting" Other Hongyuan Zhan and Kamesh Madduri, 2016, "A Combinatorially-Interpretable Matrix Factorization for Network Community Structure Evaluation", pp. 37 George M Slota, Sivasankaran Rajamanickam and Kamesh Madduri, 2015, "PuLP: Complex objective partitioning of small-world networks using label propagation", pp. 28 George M Slota and Kamesh Madduri, 2014, "Characterizing biological networks using subgraph counting and enumeration", pp. 31 George M Slota, Sivasankaran Rajamanickam and Kamesh Madduri, 2014, "Parallel strongly connected components in shared memory architectures", pp. 51 Kamesh Madduri, 2013, "Parallel analysis of large graph-structured data in genomics and proteomics", pp. 1 Kamesh Madduri, 2012, "High-performance Metagenomic Data Clustering and Assembly", pp. 28 Kamesh Madduri, 2012, "Scalable SPARQL Querying with Compressed Bitmap Indexes", pp. 17 Kamesh Madduri, 2011, "Optimizing Short-read Genome Assembly Algorithms for Emerging Multicore Platforms", pp. 37 Kamesh Madduri, 2010, "Hybrid Parallel Programming for Massive Graph Analysis", pp. 26 Kamesh Madduri, 2009, "Scaling Up Graph Algorithms on Emerging Multicore Systems", pp. 22 Kamesh Madduri, 2008, "High Performance Combinatorial Techniques for Processing Dynamic Interaction Networks", pp. 29 David A Bader and Kamesh Madduri, 2007, "High Performance Combinatorial Techniques for Analyzing Massive Dynamic Interaction Networks" David A Bader and Kamesh Madduri, 2006, "Efficient Shared-memory Algorithms and Implementations for Solving Large-scale Graph Algorithms", pp. 28 Research Projects May2013-April2019,"CAREER: Algorithmic and Software Foundations for Large-Scale Graph Analysis,"(Sponsor:National Science Foundation). September2014-August2018,"XPS: FULL: DSD: End-to-end Acceleration of Genomic Workflows on Emerging Heterogeneous Supercomputers,"(Sponsor:National Science Foundation). Honors and Awards Best Artifact Award: Seventh Workshop on Irregular Applications: Architectures and Algorithms (IA3 2017), November 2017 Student Innovation Award: 2017 Graph Challenge, September 2017 42nd International Conference on Parallel Processing (ICPP 2013) Best Paper Award, October 2013 Service Service to Penn State: Service to External Organizations: diff --git a/src/data/compiled_bios/1514.txt b/src/data/compiled_bios/1514.txt new file mode 100644 index 0000000000..65b605523f --- /dev/null +++ b/src/data/compiled_bios/1514.txt @@ -0,0 +1 @@ + Mehrdad Mahdavi Assistant Professor Affiliation(s): School of Electrical Engineering and Computer Science Computer Science and Engineering W365 Westgate Building mzm616@psu.edu Personal or Departmental Website Research Areas: Interest Areas: Large-scale optimization, High-dimensional learning, Convex and non-convex Optimization, Distributed optimization, Statistical and computational learning theory, Online (adversarial) learning, Applications of machine learning in social graphs, recommender systems, text analysis, etc diff --git a/src/data/compiled_bios/1515.txt b/src/data/compiled_bios/1515.txt new file mode 100644 index 0000000000..5ab81cf37d --- /dev/null +++ b/src/data/compiled_bios/1515.txt @@ -0,0 +1 @@ + Mark Mahon Associate Teaching Professor Affiliation(s): School of Electrical Engineering and Computer Science Computer Science and Engineering Electrical Engineering W209 A Westgate Building mpm114@psu.edu 814-867-5396 Research Areas: Interest Areas: Mobile communications and computer systems including networks, protocols, and applications, security for wireless networks, geolocation, wideband signal processing, machine learning. Undergraduate academic advisor. Education BS, Electronics Engineering/Physics, University of Scranton, 1987 MS, Electrical Engineering, Pennsylvania State University, 1991 Ph D, Acoustics, Pennsylvania State University, 2001 Publications Book, Chapters Randy K Young, Mark P Mahon and Peter Wyckoff, 2004, Automated Information Management, pp. 30 Journal Articles T. Douglas Mast, David C. Swanson and Mark P Mahon, 1997, "Resolution of Multipath Outdoor Sound Propagation Using Spread Spectrum Signals", Journal of Acoustical Society of America, 101, (5) Mark P Mahon, Leon H Sibul and Hector Valenzuela, 1993, "A Sliding Window Update for the Basis Matrix of the QR Decomposition", pp. 3 Conference Proceedings Swanson C Swanson, Mark P Mahon, David E Norris, T. Douglas M andst, , 2017, "Atmospheric Multipath Resolution Using Spread Spectrum Acoustic Signals", Proceeding of Meetings on Acoustics, Acoustical Society of America, Melville, NY, USA Jeff Aquaviva, Mark P Mahon, Bruce Einfalt and Thomas F Laporta, 2017, "Optimal Cyber-Defense Strategies for Advanced Persistent Threats: A Game Theoretic Approach", pp. 6 Mark P Mahon, Allan G Sonsteby and Rosemary Wenchel, 1999, "Application of Non-Orthogonal Wavelets for Geolocation", Radiolocation and Direction Finding, Southwest Research Institute, San Antonio, TX, USA, pp. 5 L F Myers and Mark P Mahon, 1998, "A Java-based Information System for Wayside Sensing and Control", IEEE, pp. 12 David C Swanson, T Douglas Mast and Mark P Mahon, 1997, "Atmospheric Multipath Resolution Using Spread Spectrum Acoustic Signals", Proceedings of the 133rd Meeting of the ASA, The Acoustical Society of America Mark P Mahon and David C Swanson, 1995, "Acoustic Holography as an Active Control Measurement Tool", pp. 11 Mark P Mahon, Leon H Sibul and Hector Valenzuela, 1991, "An Alternative Updating Scheme for the QR Algorithm as Applied to Adaptive Beamforming", pp. 6 Research Projects Honors and Awards Service Service to Penn State: Assistance to Student Organizations, Faculty Advisor, Advise small groups participating in AI Challenge, AI Challenge, January 2018 Assistance to Student Organizations, Faculty Advisor, Faculty Co-Adivsor, HackPSU, August 2017 Committee Work, Member, ABET/Assessment, September 2017 Assistance to Student Organizations, Co-Advisor, IEEE ACM, September 2017 Service to External Organizations: diff --git a/src/data/compiled_bios/1516.txt b/src/data/compiled_bios/1516.txt new file mode 100644 index 0000000000..d15fe009aa --- /dev/null +++ b/src/data/compiled_bios/1516.txt @@ -0,0 +1 @@ + Patrick McDaniel William L. Weiss Chair in Information and Communications Technology Affiliation(s): School of Electrical Engineering and Computer Science Computer Science and Engineering W329 Westgate Building pdm12@psu.edu 814-863-3599 Personal or Departmental Website Research Areas: Interest Areas: Systems and network security, security policy, networking, distributed systems, public policy, network management, applied cryptography, privacy. Education BS, Computer Science, Ohio State University, 1989 MS, Ball State University, 1991 Ph D, Computer Science and Engineering, University of Michigan, 2001 Publications Books Patrick Traynor, Patrick D McDaniel and Thomas F Laporta, 2008, Security for Telecommunications Networks, Springer, pp. 182 pages , 2005, Encyclopedia of Cryptography and Security, Springer Book, Chapters K Butler, W Enck, P Traynor, J Plasterr and Patrick D McDaniel, 2008, Privacy Preserving Web-Based Email Patrick D McDaniel, 2007, Authentication, John Wiley and Sons, Inc Patrick D McDaniel, 2005, IPsec Patrick D McDaniel, 2005, Policy Patrick D McDaniel, 2004, Computer and Network Authentication, John Wiley and Sons Inc Patrick D McDaniel, 2003, Encyclopedia of Information Security, Kluwer Academic Publishers Patrick D McDaniel, 2002, The Internet Encyclopedia, John Wiley and Sons, Inc Journal Articles Chaz Lever, Robert J. Walls, Yacin Nadji, David Dagon, Patrick D McDaniel and Manos Antonakakis, 2017, "Dawn of the Dead Domain: Measuring the Exploitation of Residual Trust in Domains", IEEE Security \& Privacy Magazine (Secure Systems issue column) Dave Tian, Katharine L Butler, Junghun Choi, Patrick D McDaniel and P. Krishnaswamy, 2017, "Securing ARP/NDP From the Ground Up", IEEE Transactions on Information Forensics and Security Patrick D McDaniel and Ananthram Swami, 2017, "The Cyber Security Collaborative Research Alliance:Unifying Detection, Agility, and Risk in Mission-Oriented Cyber Decision Making", CSIAC Journal, Army Research Laboratory (ARL) Cyber Science and Technology, 5, (1) S. Achleitner, T.F. La Porta, Patrick D McDaniel, S. Sugrim, S.V. Krishnamurthy and R. Chada, 2017, "Deceiving Network Reconnaissance Unsing SDN-based Virtual Topologies", IEEE Transactions on Network and Service Management, Special Issue on Advances in Management of Softwarized Networks Z. Berkay Celik, Patrick D McDaniel and Thomas Bowen, 2017, "Malware Modeling and Experimentation through Parameterized Behavior", Journal of Defense Modeling and Simulation (JDMS) Patrick D McDaniel, Nicolas Papernot and Berkay Celik, 2016, "Machine Learning in Adversarial Settings", IEEE Security \& Privacy Magazine, 14, (3) Nicolas Papernot, Patrick D McDaniel, Ian Goodfellow, Somesh Jha, Berkay Celik and Ananthram Swami, 2016, "Practical Black-Box Attacks against Deep Learning Systems using Adversarial Examples", arXiv preprint arXiv:1602.02697 Nicolas Papernot, Patrick D McDaniel and Ian Goodfellow, 2016, "Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversarial Samples", arXiv preprint arXiv:1605.07277 Damien Octeau, Daniel Luchaup, Somesh Jha and Patrick D McDaniel, 2016, "Composite Constant Propagation and its Application to Android Program Analysis", IEEE Transactions on Software Engineering, 42, (11), pp. 999-1014 Nicolas Papernot, Patrick D McDaniel, Xi Wu, Somesh Jha and Ananthram Swami, 2015, "Distillation as a Defense to Adversarial Perturbations against Deep Neural Networks", CoRR, abs/1511.04508 Alexander Kott, Ananthram Swami and Patrick D McDaniel, 2015, "Six Potential Game-Changers in Cyber Security: Towards Priorities in Cyber Science and Engineering", CoRR, abs/1511.00509 Nicolas Papernot, Patrick D McDaniel, Somesh Jha, Matt Fredrikson, Z. Berkay Celik* and Ananthram Swami, 2015, "The Limitations of Deep Learning in Adversarial Settings", CoRR, abs/1511.07528 Alexander Kott, Ananthram Swami and Patrick D McDaniel, 2014, "Security Outlook: Six Cyber Game Changers for the Next 15 Years", IEEE Computer, 47, (12), pp. 104106 William Enck, Peter Gilbert, Seungyeop Han, Vasant Tendulkar, Byung-Gon Chun, Landon P. Cox, Jaeyeon Jung, Patrick D McDaniel and Anmol N. Sheth, 2014, "TaintDroid: An Information-Flow Tracking System for Realtime PrivacyMonitoring on Smartphones", ACM Transactions on Computer Systems, 32, (2), pp. 5 William Enck, Peter Gilbert, Byung-Gon Chun, Landon P. Cox, Jaeyeon Jung, Patrick D McDaniel and Anmol Sheth, 2014, "TaintDroid: an information flow tracking system for real-time privacymonitoring on smartphones", Communications of the ACM, 57, (3), pp. 99106 Zhenfu Cao, Keqiu Li, Xu Li, Patrick D McDaniel, Radha Poovendran, Guojun Wang and Yang Xiang, 2014, "Guest Editors Introduction: Special Issue on Trust, Security, andPrivacy in Parallel and Distributed Systems", IEEE Trans. Parallel Distrib. Syst., 25, (2), pp. 279282 Li Li, Alexandre Bartel, Jacques Klein, Yves Le Traon, Steven Arzt, Siegfried Rasthofer, Eric Bodden, Damien Octeau* and Patrick D McDaniel, 2014, "I know what leaked in your pocket: uncovering privacy leaks on AndroidApps with Static Taint Analysis", CoRR, abs/1404.7431 William Enck, Peter Gilbert, Byung-Gon Chun, Landon P. Cox, Jaeyeon Jung, Patrick D McDaniel and Anmol Sheth, 2014, "TaintDroid: an information flow tracking system for real-time privacymonitoring on smartphones", Communications of the ACM, 57, (3), pp. 99106 William Enck, Peter Gilbert, Seungyeop Han, Vasant Tendulkar, Byung-Gon Chun, Landon P. Cox, Jaeyeon Jung, Patrick D McDaniel and Anmol N. Sheth, 2014, "TaintDroid: An Information-Flow Tracking System for Realtime PrivacyMonitoring on Smartphones", ACM Transactions on Computer Systems, 32, (2), pp. 5:15:29 Li Li, Alexandre Bartel, Jacques Klein, Yves Le Traon, Steven Arzt, Siegfried Rasthofer, Eric Bodden, Damien Octeau and Patrick D McDaniel, 2014, "I know what leaked in your pocket: uncovering privacy leaks on AndroidApps with Static Taint Analysis", CoRR, abs/1404.7431 Patrick D McDaniel, Brian Rivera and Ananthram Swami, 2014, "Toward a Science of Secure Environments", IEEE Security & Privacy, 12, (4), pp. 6870 M. Ongtang*, S. McLaughlin*, W. Enck* and Patrick D McDaniel, 2012, "Semantically Rich Application-Centric Security in Android", Security and Communication Networks, 5, (6), pp. 658-673 Patrick D McDaniel, 2012, "Bloatware Comes to the Smartphone", IEEE Security & Privacy, 10, (4), pp. 8587 P. Traynor*, C. Amrutkar, V. Rao, T. Jaeger, Patrick D McDaniel and T. F. La Porta, 2011, "From Mobile Phones to Responsible Devices", Journal of Security and Communication Networks (SCN), 4, (6), pp. 719-726 T Moyer*, K Butler*, J Schiffman, Patrick D McDaniel and Trent R Jaeger, 2011, "Scalable Web Content Attestation", IEEE Transactions on Computers, pp. 15 Patrick D McDaniel, 2011, "Data Provenance and Security", IEEE Security & Privacy Magazine, 9, (2), pp. 83-85 J. Schiffman, T. Jaeger and Patrick D McDaniel, 2011, "Network-based Root of Trust for Installation", IEEE Security & Privacy Magazine, 9, (1), pp. 40-48 Kevin Butler*, Stephen E. McLaughlin*, Thomas Moyer* and Patrick D McDaniel, 2010, "New Security Architectures Based on Emerging Disk Functionality", IEEE Security & Privacy, 8, (5), pp. 3441 Patrick D McDaniel and William Enck*, 2010, "Not So Great Expectations: Why Application Markets Haven't Failed Security", IEEE Security & Privacy, 8, (5), pp. 7678 Boniface Hicks*, Sandra Rueda, Luke St. Clair*, Trent R Jaeger and Patrick D McDaniel, 2010, "A logical specification and analysis for SELinux MLS policy", ACM Transactions on Information and System Security, 13, (3) Patrick Traynor*, Kevin Butler*, William Enck*, Patrick D McDaniel and Kevin Borders, 2010, "malnets: large-scale malicious networks via compromised wireless access points", Security and Communication Networks, 3, (2-3), pp. 102113 Kevin Butler*, Toni R. Farley, Patrick D McDaniel and Jennifer Rexford, 2010, "A Survey of BGP Security Issues and Solutions", Proceedings of the IEEE, 98, (1), pp. 100122 Matthew Pirretti, Patrick Traynor*, Patrick D McDaniel and Brent Waters, 2010, "Secure attribute-based systems", Journal of Computer Security, 18, (5), pp. 799837 Kevin R. B. Butler*, Sunam Ryu, Patrick Traynor* and Patrick D McDaniel, 2009, "Leveraging Identity-Based Cryptography for Node ID Assignment inStructured P2P Systems", IEEE Transactions on Parallel and Distributed Systems (TPDS), 20, (12), pp. 18031815 Heesook Choi, William Enck, Jaesheung Shin, Patrick D McDaniel and Thomas F Laporta, 2009, "ASR: anonymous and secure reporting of traffic forwarding activityin mobile ad hoc networks", ACM Wireless Networks (WINET), 15, (4), pp. 525539 Patrick D McDaniel and Stephen E. McLaughlin, 2009, "Security and Privacy Challenges in the Smart Grid", IEEE Security & Privacy, 7, (3), pp. 7577 W Enck, T Moyer, Patrick D McDaniel, S Sen, P Sebos, S Spoerel, A Greenberg, Y W Sung, S Rao and W Aiello, 2009, "Configuration Management at Massive Scale: System Design and Experience", IEEE Journal on Selected Areas in Communications (JSAC), 27 Patrick Traynor, William Enck, Patrick D McDaniel and Thomas F Laporta, 2009, "Mitigating attacks on open functionality in SMS-capable cellular networks", IEEE/ACM Transactions on Networking, 17, (1), pp. 4053 William Enck, Machigar Ongtang and Patrick D McDaniel, 2009, "Understanding Android Security", IEEE Security and Privacy Magazine, 7, (1), pp. 5057 Patrick Traynor, William Enck, Patrick D McDaniel and Thomas F Laporta, 2008, "Exploiting open functionality in SMS-capable cellular networks", Journal of Computer Security, 16, (6), pp. 713742 Patrick Traynor, Michael Chien, Scott Weaver, Boniface Hicks and Patrick D McDaniel, 2008, "Noninvasive Methods for Host Certification", ACM Transactions on Information and System Security (TISSEC), 11, (3) Patrick D McDaniel and Bashar Nuseibeh, 2008, "Guest Editors Introduction: Special Section on Software Engineeringfor Secure Systems", IEEE Transactions on Software Engineering, 34, (1), pp. 34 Wesam Lootah, William Enck and Patrick D McDaniel, 2007, "TARP: Ticket-based address resolution protocol", Computer Networks, 51, (15), pp. 43224337 Patrick D McDaniel, P Traynor, R Kumar, H Choi, G Cao, S Zhu and T F La Porta, 2007, "Efficient Hybrid Security Mechanisms for Heterogeneous Sensor Networks", IEEE Transactions on Mobile Computing, 6, (6), pp. 663-677 Patrick D McDaniel and Atul Prakash, 2006, "Enforcing provisioning and authorization policy in the Antigone system", Journal of Computer Security, 14, (6), pp. 483511 Patrick D McDaniel and Atul Prakash, 2006, "Methods and limitations of security policy reconciliation", ACM Transactions on Information and System Security (TISSEC), 9, (3), pp. 259291 Patrick D McDaniel, William Aiello, Kevin R. B. Butler and John Ioannidis, 2006, "Origin authentication in interdomain routing", Computer Networks, 50, (16), pp. 29532980 Matthew Pirretti, Sencun Zhu, Vijaykrishnan Narayanan, Patrick D McDaniel, Mahmut T Kandemir and Richard R. Brooks, 2006, "The Sleep Deprivation Attack in Sensor Networks: Analysis and Methodsof Defense", International Journal of Distributed Sensor Networks, 2, (3), pp. 267287 Patrick D McDaniel and Aviel D. Rubin, 2005, "Web security", Computer Networks, 48, (5), pp. 697699 Patrick D McDaniel and A Rubin, 2005, "Guest Editorial", Computer Networks, Special Issue on Web Security S Byers, L Cranor, E Cronin, D Korman and Patrick D McDaniel, 2004, "Analysis of Security Vulnerabilities in the Movie Production and Distribution Process", Telecommunications Policy, 28, (8), pp. 619-644 E Cronin, S Jamin, T Malkin and Patrick D McDaniel, 2003, "Analysis of Security Vulnerabilities in the Movie Production and Distribution Process" Ian Goodfellow, Patrick D McDaniel and Nicolas Papernot, , "The challenges of making machine learning robust against adversarial inputs", Communications of the ACM Conference Proceedings Florian Tramer, Alexey Kurakin, Nicolas Papernot, Ian Goodfellow, Dan Boneh and Patrick D McDaniel, 2018, "Ensemble Adversarial Training: Attacks and Defenses", International Conference on Learning Representations Nicolas Papernot, Patrick D McDaniel, Arunesh Sinha and Michael Wellman, 2018, "Security and Privacy in Machine Learning", London, UK Chun-Ming Lai, Xiaoyun Wang, Yunfeng Hong, Yu-Cheng Lin, Felix Wu, Patrick D McDaniel and Hasan Cam, 2017, "Attacking Strategies and Temporal Analysis Involving Facebook Discussion Groups" Yunfeng Hong, Yongjian Hu, Chun-Ming Lai, Felix Wu, Iulian Neamtiu, Yu Paul, Patrick D McDaniel, Hasan Cam and Gail-Joon Ahn, 2017, "Defining and Detecting Environment Discrimination in Android Apps" Kathrin Grosse, Nicolas Papernot, Praveen Manoharan, Michael Backes and Patrick D McDaniel, 2017, "Adversarial Examples for Malware Detection" Vaibhav Rastogi, Drew Davidson, Lorenzo De Carli, Somesh Jha and Patrick D McDaniel, 2017, "Cimplifier: Automatically Debloating Containers", Paderborn, Germany Nicolas Papernot, Patrick D McDaniel, Ian Goodfellow, Somesh Jha, Z. Berkay Celik and Ananthram Swami, 2017, "Practical Black-Box Attacks against Machine Learning" Stefan Achleitner, Thomas La Porta, Trent R Jaeger and Patrick D McDaniel, 2017, "Adversarial Network Forensics in Software Defined Networking" Berkay Celik, Patrick D McDaniel and Rauf Izmailov, 2017, "Feature Cultivation in Privileged Information-augmented Detection" Stefan Achleitner, Thomas La Porta, Patrick D McDaniel, Srikanth V. Krishnamurthy, Alexander Poylisher and Constantin Serban, 2017, "Malicious Co-Residency on the Cloud: Attacks and Defense" Z. Berkay Celik, David Lopez-Paz and Patrick D McDaniel, 2017, "Patient-Driven Privacy Control through Generalized Distillation" Ahmed Fathy Atya, Zhiyun Qian, Srikanth V. Krishnamurthy, Thomas La Porta, Patrick D McDaniel and Lisa Marvel, 2017, "Stealth Migration: Hiding Virtual Machines on the Network" Abbas Acar, Z. Berkay Celik, Hidayet Aksu, A. Selcuk Uluagac and Patrick D McDaniel, 2017, "Achieving Secure and Differentially Private Computations in Multiparty Settings" Nathaniel Lageman, Eric Kilmer, Robert J. Walls and Patrick D McDaniel, 2016, "BinDNN: Resilient Function Matching Using Deep Learning" Michael Backes, ven Bugiel, Erik Derr, Patrick McDaniel Damien Octeau and Sebastian Weisgerber, 2016, "On Demystifying the Android Application Framework: Re-Visiting Android Permission Specification Analysis" Devin J. Pohly and Patrick D McDaniel, 2016, "Modeling Privacy and Tradeoffs in Multichannel Secret Sharing Protocols" Yasemin Acar, Michael Backes, Sven Bugiel, Sascha Fahl, Patrick D McDaniel and Matthew Smith, 2016, "SoK: Lessons Learned From Android Security Research For Appified Software Platforms", San Francisco, CA Nicolas Papernot, Patrick D McDaniel, Xi Wu, Somesh Jha and Ananthram Swami, 2016, "Distillation as a Defense to Adversarial Perturbations Against Deep Neural Networks", San Francisco, CA Chaz Lever, Robert Walls, Yacin Nadji, David Dagon, Patrick D McDaniel and Manos Antonakakis, 2016, "Domain-Z: 28 Registrations Later", San Francisco, CA Charles J. Huber, Scott E. Brown, Patrick D McDaniel and Lisa M. Marvel, 2016, "Cyber Fighter Associate: A Decision Support System for Cyber Agility", Princeton, NJ Z. Berkay Celik, Nan Hu, Yun Li, Nicolas Papernot, Patrick D McDaniel, Jeff Rowe, Robert Walls, Karl Levitt, Novella Bartolini, Thomas La Porta and Ritu Chadha, 2016, "Mapping Sample Scenarios to Operational Models" Damien Octeau, Somesh Jha, Matthew Dering, Patrick D McDaniel, Alexandre Bartel, Li Li, Jacques Klein and Yves Le Traon, 2016, "Combining Static Analysis with Probabilistic Models to Enable Market-Scale Android Inter-Component Analysis", St. Petersburg, Florida, USA Nicolas Papernot, Patrick D McDaniel, Ananthram Swami and Richard Harang, 2016, "Crafting Adversarial Input Sequences for Recurrent Neural Networks" Stefan Achleitner, Thomas La Porta, Patrick D McDaniel, Shridatt Sugrim, Srikanth Krishnamurthy and Ritu Chadha, 2016, "Cyber Deception: Virtual Networks to Defend Insider Reconnaissance" Nicolas Papernot, Patrick D McDaniel, Somesh Jha, Matt Fredrikson, Z. Berkay Celik and Ananthram Swami, 2016, "The Limitations of Deep Learning in Adversarial Settings", Saarbrucken, Germany D. J. Pohly*, C. Sestito and Patrick D McDaniel, 2015, "Adaptive protocol switching using Dynamically Insertable Bumps in the stack", pp. 342-347 N. Papernot, Patrick D McDaniel and R. J. Walls, 2015, "Enforcing agile access control policies in relational databases using views", pp. 7-12 Z. Berkay Celik*, R. J. Walls, Patrick D McDaniel and A. Swami, 2015, "Malware traffic detection using tamper resistant features", pp. 330-335 A. Oltramari, L. F. Cranor, R. J. Walls and Patrick D McDaniel, 2015, "Computational ontology of network operations", pp. 318-323 A. Aqil, A. O. F. Atya, Trent R Jaeger, S. V. Krishnamurthy, K. Levitt, Patrick D McDaniel, J. Rowe and A. Swami, 2015, "Detection of stealthy TCP-based DoS attacks", pp. 348-353 Robert J. Walls, Eric D. Kilmer, Nathaniel Lageman and Patrick D McDaniel, 2015, "Measuring the Impact and Perception of Acceptable Advertisements", pp. 107120 Li Li, Alexandre Bartel, Tegawend F Bissyand, Jacques Klein, Yves Le Traon, Steven Arzt, Siegfried Rasthofer, Eric Bodden, Damien Octeau and Patrick D McDaniel, 2015, "IccTA: Detecting Inter-Component Privacy Leaks in Android Apps" Damien Octeau, Daniel Luchaup, Matthew Dering, Somesh Jha and Patrick D McDaniel, 2015, "Composite Constant Propagation: Application to Android Inter-Component Communication Analysis" Daniel Krych, Stephen Lange-Maney, Patrick D McDaniel and William Glodek, 2015, "Investigating weaknesses in Android certificate security" Jing (Dave) Tian, Kevin R. B. Butler, Patrick D McDaniel and Padma Krishnaswamy, 2015, "Securing ARP From the Ground Up", ACM, pp. 305312 Patrick D McDaniel, 2015, "A New Science of Security Decision Making", pp. IS13 Alessandro Oltramari, Lorrie Faith Cranor, Robert J. Walls and Patrick D McDaniel, 2014, "Building an Ontology of Cyber Security", pp. 6 Matthew Dering* and Patrick D McDaniel, 2014, "Android market reconstruction and analysis", pp. 300-305 Wenhui Hu*, Damien Octeau*, Patrick D McDaniel and Peng Liu, 2014, "Duet: library integrity verification for android applications", ACM, pp. 141152 Steven Arzt, Siegfried Rasthofer, Christian Fritz, Eric Bodden, Alexandre Bartel, Jacques Klein, Yves Le Traon, Damien Octeau* and Patrick D McDaniel, 2014, "FlowDroid: precise context, flow, field, object-sensitive and lifecycle-aware taint analysis for Android apps", pp. 29 Philip Koshy*, Diana Koshy* and Patrick D McDaniel, 2014, "An Analysis of Anonymity in Bitcoin Using P2P Network Traffic", Springer-Verlag LNCS, 8437, pp. 469485 Stephen E. McLaughlin*, Saman A. Zonouz, Devin J. Pohly* and Patrick D McDaniel, 2014, "A Trusted Safety Verifier for Process Controller Code", The Internet Society, pp. 15 Damien Octeau*, Patrick D McDaniel, Somesh Jha, Alexandre Bartel, Eric Bodden, Jacques Klein and Yves Le Traon, 2013, "Effective Inter-Component Communication Mapping in Android: An Essential Step Towards Holistic Security Analysis", pp. 543558 Devin J. Pohly*, Stephen E. McLaughlin*, Patrick D McDaniel and Kevin Butler*, 2012, "Hi-Fi: collecting high-fidelity whole-system provenance", pp. 259268 Weining Yang, Ninghui Li, Yuan Qi, Wahbeh H. Qardaji, Stephen E. McLaughlin* and Patrick D McDaniel, 2012, "Minimizing private data disclosures in the smart grid", pp. 415427 Damien Octeau*, Somesh Jha and Patrick D McDaniel, 2012, "Retargeting Android applications to Java bytecode", pp. 6 Stephen E. McLaughlin* and Patrick D McDaniel, 2012, "SABOT: specification-based payload generation for programmable logic controllers", pp. 439449 Eun-Kyoung Kim, Patrick D McDaniel and Thomas F Laporta, 2012, "A Detection Mechanism for SMS Flooding Attacks in Cellular Networks", pp. 7693 Thomas Moyer*, Trent R Jaeger and Patrick D McDaniel, 2012, "Scalable Integrity-Guaranteed AJAX", pp. 119 Stephen E. McLaughlin*, Patrick D McDaniel and William Aiello, 2011, "Protecting consumer privacy from electric load monitoring", pp. 8798 William Enck*, Damien Octeau*, Patrick D McDaniel and Swarat Chaudhuri, 2011, "A Study of Android Application Security" M Ongtang*, Joshua Schiffman, Thomas F Laporta, Patrick D McDaniel, Abhrajit Ghosh and F Anjum, 2010, "Constructing Secure Localization Systems with Adjustable Granularity Using Commodity Hardware", pp. 6 Kevin R. B. Butler*, Stephen E. McLaughlin* and Patrick D McDaniel, 2010, "Kells: a protection framework for portable data", pp. 231240 Stephen E. McLaughlin*, Dmitry Podkuiko*, Sergei Miadzvezhanka*, Adam Delozier* and Patrick D McDaniel, 2010, "Multi-vendor penetration testing in the advanced metering infrastructure", pp. 107116 Machigar Ongtang*, Kevin Butler* and Patrick D McDaniel, 2010, "Porscha: policy oriented secure content handling in Android", pp. 221230 Kevin R. B. Butler*, Stephen E. McLaughlin* and Patrick D McDaniel, 2010, "Protecting portable storage with host validation", pp. 651653 Joshua Schiffman, Thomas Moyer*, Hayawardh Vijayakumar, Trent R Jaeger and Patrick D McDaniel, 2010, "Seeding clouds with trust anchors", pp. 4346 William Enck*, Peter Gilbert, Byung-Gon Chun, Landon P. Cox, Jaeyeon Jung, Patrick D McDaniel and Anmol Sheth, 2010, "TaintDroid: An Information-Flow Tracking System for Realtime Privacy Monitoring on Smartphones", pp. 393407 Toby Ehrenkranz, Jun Li and Patrick D McDaniel, 2010, "Realizing a Source Authentic Internet", pp. 217234 Stephen E. McLaughlin*, Dmitry Podkuiko*, Adam Delozier*, Sergei Miadzvezhanka* and Patrick D McDaniel, 2010, "Embedded Firmware Diversity for Smart Electric Meters" Boniface Hicks*, Sandra Rueda Rodreguez, Dave King, Thomas Moyer*, Joshua Schiffman, Yogesh Sreenivasan, Patrick D McDaniel and Trent R Jaeger, 2010, "An architecture for enforcing end-to-end access control over web applications", pp. 163172 Kevin R. B. Butler*, Stephen E. McLaughlin* and Patrick D McDaniel, 2010, "Disk-enabled authenticated encryption", pp. 16 Patrick D McDaniel, Kevin R. B. Butler*, Stephen E. McLaughlin*, Erez Zadok, Radu Sion and Marianne Winslett, 2010, "Towards a Secure and Efficient System for End-to-End Provenance", pp. 5 Thomas Moyer*, Kevin R. B. Butler*, Joshua Schiffman, Patrick D McDaniel and Trent R Jaeger, 2009, "Scalable Web Content Attestation", pp. 95104 Machigar Ongtang, Stephen E. McLaughlin, William Enck and Patrick D McDaniel, 2009, "Semantically Rich Application-Centric Security in Android", pp. 340349 J. Schiffman, T. Moyer*, C. Shal, Trent R Jaeger and Patrick D McDaniel, 2009, "Justifying Integrity Using a Virtual Machine Verifier", pp. 83-92 T. La Porta, Patrick D McDaniel, K. Rauscher and J. Shu, 2009, "The Impact of Supply Chain on Information and Communications Technology Security", pp. 7 Patrick Traynor, Michael Lin, Machigar Ongtang, Vikhyath Rao, Trent R Jaeger, Thomas F Laporta and Patrick D McDaniel, 2009, "On cellular botnets: measuring the impact of malicious devices ona cellular network core", pp. 223234 William Enck, Machigar Ongtang and Patrick D McDaniel, 2009, "On lightweight mobile phone application certification", pp. 235245 Stephen E. McLaughlin, Dmitry Podkuiko and Patrick D McDaniel, 2009, "Energy Theft in the Advanced Metering Infrastructure", pp. 176187 Matt Blaze and Patrick D McDaniel, 2009, "Below the Salt: The Dangers of Unfulfilled Physical Media Assumptions", pp. 2427 William Enck, Kevin R. B. Butler, Thomas Richardson, Patrick D McDaniel and Adam D Smith, 2008, "Defending Against Attacks on Main Memory Persistence", pp. 6574 William Enck, Patrick D McDaniel and Trent R Jaeger, 2008, "PinUP: Pinning User Files to Known Applications", pp. 5564 Kevin R. B. Butler, Stephen E. McLaughlin and Patrick D McDaniel, 2008, "Rootkit-resistant disks", pp. 403416 Kevin R. B. Butler, William Enck, Harri Hursti, Stephen E. McLaughlin, Patrick Traynor and Patrick D McDaniel, 2008, "Systemic Issues in the Hart InterCivic and Premier Voting Systems:Reflections on Project EVEREST" Patrick Traynor, Kevin R. B. Butler, William Enck and Patrick D McDaniel, 2008, "Realizing Massive-Scale Conditional Access Systems Through Attribute-BasedCryptosystems" Dhananjay Bapat, Kevin R. B. Butler and Patrick D McDaniel, 2007, "Towards Automated Privilege Separation", pp. 272276 Boniface Hicks, Tim Misiak and Patrick D McDaniel, 2007, "Channels: Runtime System Infrastructure for Security-Typed Languages", pp. 443452 Luke St. Clair, Joshua Schiffman, Trent R Jaeger and Patrick D McDaniel, 2007, "Establishing and Sustaining System Integrity via Root of Trust Installation", pp. 1929 Kevin R. B. Butler, Stephen E. McLaughlin and Patrick D McDaniel, 2007, "Non-volatile memory and disks: avenues for policy architectures", pp. 7784 P Traynor, Patrick D McDaniel and T F La Porta, 2007, "On Attack Causality in Internet-Connected Cellular Networks", pp. 307-322 Lisa Johansen, Michael Rowell, Kevin R. B. Butler and Patrick D McDaniel, 2007, "Email Communities of Interest" Anusha Sriraman, Kevin R. B. Butler, Patrick D McDaniel and Padma Raghavan, 2007, "Analysis of the IPv4 Address Space Delegation Structure", pp. 501508 Boniface Hicks, Sandra Rueda, Luke St. Clair, Trent R Jaeger and Patrick D McDaniel, 2007, "A logical specification and analysis for SELinux MLS policy", pp. 91100 William Enck, Patrick D McDaniel, Subhabrata Sen, Panagiotis Sebos, Sylke Spoerel, Albert G. Greenberg, Sanjay G. Rao and William Aiello, 2007, "Configuration Management at Massive Scale: System Design and Experience", pp. 7386 Boniface Hicks, Sandra Rueda, Trent R Jaeger and Patrick D McDaniel, 2007, "From Trusted to Secure: Building and Executing Applications That EnforceSystem Security", pp. 205218 Boniface Hicks, Dave King and Patrick D McDaniel, 2007, "Jifclipse: development tools for security-typed languages", pp. 110 Heesook Choi, Thomas F Laporta and Patrick D McDaniel, 2007, "Privacy Preserving Communication in MANETs", pp. 233242 William Enck, Sandra Rueda, Joshua Schiffman, Yogesh Sreenivasan, Luke St. Clair, Trent R Jaeger and Patrick D McDaniel, 2007, "Protecting users from "themselves"", pp. 2936 Sophie Y. Qiu, Patrick D McDaniel and Fabian Monrose, 2007, "Toward Valley-Free Inter-domain Routing", pp. 20092016 H. Rowaihy, W. Enck, Patrick D McDaniel and T. F. LaPorta, 2007, "Limiting Sybil Attacks in Structured Peer-to-Peer Networks", Proceedings of the Twenty-Sixth Annual IEEE Conference on Computer Communications (INFOCOM 2007) Mini-Symposium on Security, Streaming, and Overlays, pp. 2596-2600 Sunam Ryu, Kevin R. B. Butler, Patrick Traynor and Patrick D McDaniel, 2007, "Leveraging Identity-Based Cryptography for Node ID Assignment inStructured P2P Systems", 1, pp. 519524 Hosam Rowaihy, William Enck, Patrick D McDaniel and Thomas F Laporta, 2007, "Limiting Sybil Attacks in Structured P2P Networks", pp. 25962600 B Hicks, S Rueda, T Jaeger and Patrick D McDaniel, 2007, "Integration of SELinux and Security-typed Languages" , 2007, "CEAS 2007 - The Fourth Conference on Email and Anti-Spam, 2-3 August 2007, Mountain View, California, USA" Boniface Hicks, Kiyan Ahmadizadeh and Patrick D McDaniel, 2006, "From Languages to Systems: Understanding Practical Application Developmentin Security-typed Languages", pp. 153164 Patrick Traynor, Kevin R. B. Butler, William Enck, Jennifer N Plasterr, S Weaver, J van Bremer and Patrick D McDaniel, 2006, "Privacy Preserving Web-Based Email", pp. 116131 Matthew Pirretti, Patrick Traynor, Patrick D McDaniel and Brent Waters, 2006, "Secure attribute-based systems", pp. 99112 Kevin R. B. Butler, William Aiello and Patrick D McDaniel, 2006, "Optimizing BGP security by exploiting path stability", pp. 298310 Shiva Chaitanya, Kevin R. B. Butler, Anand Sivasubramaniam, Patrick D McDaniel and Murali Vilayannur, 2006, "Design, implementation and evaluation of security in iSCSI-based networkstorage systems", pp. 1728 Patrick Traynor, William Enck, Patrick D McDaniel and Thomas F Laporta, 2006, "Mitigating attacks on open functionality in SMS-capable cellular networks", pp. 182193 Patrick Traynor, Michael Chien, Scott Weaver, Boniface Hicks and Patrick D McDaniel, 2006, "Non-Invasive Methods for Host Certification", pp. 110 Trent R Jaeger, Patrick D McDaniel, Luke St. Clair, Ramn Cceres and Reiner Sailer, 2006, "Shame on Trust in Distributed Systems", pp. 19-24 Boniface Hicks, Dave King, Patrick D McDaniel and Michael Hicks, 2006, "Trusted declassification: : high-level policy for a security-typedlanguage", pp. 6574 Sophie Y. Qiu, Patrick D McDaniel, Fabian Monrose and Aviel D. Rubin, 2006, "Characterizing Address Use Structure and Stability of Origin Advertisementin Inter-domain Routing", pp. 489496 , 2006, "Information Systems Security, Second International Conference, ICISS 2006, Kolkata, India, December 19-21, 2006, Proceedings", Springer, 4332 Patrick D McDaniel, Subhabrata Sen, Oliver Spatscheck, Jacobus E. van der Merwe, William Aiello and Charles R. Kalmanek, 2006, "Enterprise Security: A Community of Interest Based Approach", pp. 123-137 L St. Clair, L Johansen, W Enck, M Pirretti, P Traynor, Patrick D McDaniel and T Jaeger, 2006, "Password Exhaustion: Predicting the End of Password Usefulness", pp. 37-55 Patrick D McDaniel, K Butler and S Qiu, 2006, "Testing Large Scale BGP Security in Replayable Network Environments" K Butler, Patrick D McDaniel and S Qiu, 2006, "BGPRV: A Library for Fast and Efficient Routing Data Manipulation" Wesam Lootah, William Enck and Patrick D McDaniel, 2005, "TARP: Ticket-based Address Resolution Protocol", pp. 95-103 Kevin R. B. Butler and Patrick D McDaniel, 2005, "Understanding Mutable Internet Pathogens, or How I Learned to StopWorrying and Love Parasitic Behavior", Springer-Verlag LNCS, 3803, (1), pp. 3648 William Enck, Patrick Traynor, Patrick D McDaniel and Thomas F Laporta, 2005, "Exploiting open functionality in SMS-capable cellular networks", pp. 393404 Louis Kruger, Somesh Jha and Patrick D McDaniel, 2005, "Privacy Preserving Clustering", Springer-Verlag LNCS, 3679, (1), pp. 397417 Heesook Choi, William Enck, Jaesheung Shin, Patrick D McDaniel and Thomas F Laporta, 2005, "Secure Reporting of Traffic Forwarding Activity in Mobile Ad Hoc Networks", pp. 1221 William Aiello, Charles R. Kalmanek, Patrick D McDaniel, Subhabrata Sen, Oliver Spatscheck and Jacobus E. van der Merwe, 2005, "Analysis of Communities of Interest in Data Networks", Springer-Verlag LNCS, 3431, (1), pp. 8396 Ali Al-Lawati, Dongwon Lee and Patrick D McDaniel, 2005, "Blocking-aware private record linkage", pp. 5968 , 2005, "Computer Security - ESORICS 2005, 10th European Symposium on Research in Computer Security, Milan, Italy, September 12-14, 2005, Proceedings", Springer, 3679 , 2005, "Information Systems Security, First International Conference, ICISS 2005, Kolkata, India, December 19-21, 2005, Proceedings", Springer, 3803 , 2005, "IQIS 2005, International Workshop on Information Quality in Information Systems, 17 June 2005, Baltimore, Maryland, USA (SIGMOD 2005 Workshop)", ACM , 2005, "Passive and Active Network Measurement, 6th International Workshop, PAM 2005, Boston, MA, USA, March 31 - April 1, 2005, Proceedings", Springer, 3431 , 2005, "Privacy Enhancing Technologies, 4th International Workshop, PET 2004, Toronto, Canada, May 26-28, 2004, Revised Selected Papers", Springer, 3424 , 2005, "Proceedings of the 12th ACM Conference on Computer and Communications Security, CCS 2005, Alexandria, VA, USA, November 7-11, 2005", ACM , 2005, "Proceedings of the 14th USENIX Security Symposium, Baltimore, MD, USA, July 31 - August 5, 2005", USENIX Association M Pirretti, S Zhu, N Vijaykrishnan, Patrick D McDaniel, M Kandemir and R Brooks, 2005, "The Sleep Deprivation Attack in Sensor Networks: Analysis and Methods of Defense" A Al-Lawati, D Lee and Patrick D McDaniel, 2005, "Blocking in Private Information Matching", 59-68 Hao Wang, Somesh Jha, Patrick D McDaniel and Miron Livny, 2004, "Security Policy Reconciliation in Distributed Computing Environments", pp. 137-148 Simon Byers, Lorrie Faith Cranor, David P. Kormann and Patrick D McDaniel, 2004, "Searching for Privacy: Design and Implementation of a P3P-EnabledSearch Engine", pp. 314328 , 2004, "Proceedings of the 11th ACM Conference on Computer and Communications Security, CCS 2004, Washington, DC, USA, October 25-29, 2004", ACM S Byers, L F Cranor, E Cronin, D Korman and Patrick D McDaniel, 2004, "Exposing Digital Content Piracy: Approaches, Issues and Experiences" Eric Cronin, Sugih Jamin, Tal Malkin and Patrick D McDaniel, 2003, "On the performance, feasibility, and use of forward-secure signatures", pp. 131144 William Aiello, John Ioannidis and Patrick D McDaniel, 2003, "Origin authentication in interdomain routing", pp. 165178 Simon Byers, Lorrie Faith Cranor, Eric Cronin, David P. Kormann and Patrick D McDaniel, 2003, "Analysis of security vulnerabilities in the movie production and distribution process", pp. 112 Patrick D McDaniel, 2003, "On context in authorization policy", pp. 8089 Patrick D McDaniel and Atul Prakash, 2003, "A Flexible Architecture for Security Policy Enforcement", pp. 234239 Jim Irrer, Atul Prakash and Patrick D McDaniel, 2003, "Antigone: Policy-based Secure Group Communication System and AMirD: Antigone-based Secure File Mirroring System", pp. 4446 Geoffrey Goodell, William Aiello, Timothy Griffin, John Ioannidis, Patrick D McDaniel and Aviel D. Rubin, 2003, "Working around BGP: An Incremental Approach to Improving Security and Accuracy in Interdomain Routing", pp. 75-85 Patrick D McDaniel and Atul Prakash, 2002, "Methods and Limitations of Security Policy Reconciliation", pp. 7387 Hugh Harney, Andrea Colgrove and Patrick D McDaniel, 2001, "Principles of Policy in Secure Groups" Patrick D McDaniel, A Prakash, J Irrer, S Mittal and T Thuang, 2001, "Flexibly Constructing Secure Groups in Antigone 2.0", pp. 55-67 Patrick D McDaniel and Sugih Jamin, 2000, "Windowed Certificate Revocation", pp. 14061414 Patrick D McDaniel and Aviel D. Rubin, 2000, "A Response to "Can We Eliminate Certificate Revocation Lists?"", pp. 245258 William A. Adamson, Charles J. Antonelli, Kevin Coffman, Patrick D McDaniel and Jim Rees, 1999, "Secure Distributed Virtual Conferencing", pp. 176190 Patrick D McDaniel, Atul Prakash and Peter Honeyman, 1999, "Antigone: A Flexible Framework for Secure Group Communication", pp. 99-114 Technical Reports Nicolas Papernot, Ian Goodfellow, Ryan Sheatsley, Reuben Feinman and Patrick D McDaniel, 2016, "cleverhans v1.0.0: an adversarial machine learning library", (arXiv:1610.00768) Devin J. Pohly and Patrick D McDaniel, 2016, "Modeling Privacy and Tradeoffs in Multichannel Secret Sharing Protocols", (NAS-TR-0188-2016) Nicolas Papernot, Patrick D McDaniel, Somesh Jha, Matt Fredrikson, Z. Berkay Celik* and Ananthram Swami, 2015, "The Limitations of Deep Learning in Adversarial Settings" Wenhui Hu*, Damien Octeau*, Patrick D McDaniel and Peng Liu, 2014, "Duet: library integrity verification for android applications" Devin J. Pohly*, Stephen E. McLaughlin*, Patrick D McDaniel and Kevin Butler*, 2012, "Hi-Fi: collecting high-fidelity whole-system provenance" D. Octeau*, S. Jha and Patrick D McDaniel, 2011, "Retargeting Android Applications to Java Bytecode" S. McLaughlin* and Patrick D McDaniel, 2011, "Protecting Consumer Privacy from Electric Load Monitoring" Stephen E. McLaughlin*, Dmitry Podkuiko*, Adam Delozier*, Sergei Miadzvezhanka* and Patrick D McDaniel, 2010, "Multi-vendor penetration testing in the advanced metering infrastructure" William Enck* and Patrick D McDaniel, 2010, "Federated Information Flow Control for Mobile Phones" Joshua Schiffman, Thomas Moyer*, Hayawardh Vijayakumar, Trent R Jaeger and Patrick D McDaniel, 2010, "Seeding clouds with trust anchors" Other Patrick D McDaniel, K. Butler, W. Enck, H. Hursti, S. McLaughlin, P. Traynor, M. Blaze, A. Aviv, P. Cerny, S. Clark, E. Cronin, G. Shah, M. Sherr, G. Vigna, R. Kemmerer, D. Balzarotti, G. Banks, M. Cova, V. Felmetsger, W. Robertson, F. Valeur, J. Lorenzo Hall and L. Quilter, 2007, "EVEREST: Evaluation and Validation of Election-Related Equipment, Standards and Testing", pp. 350 T Jaeger, Patrick D McDaniel, L St. Clair, R Caceres and R Sailer, 2006, "Shame on Trust in Distributed Systems" Research Projects Honors and Awards Service Service to Penn State: Service to External Organizations: diff --git a/src/data/compiled_bios/1517.txt b/src/data/compiled_bios/1517.txt new file mode 100644 index 0000000000..f8487c8422 --- /dev/null +++ b/src/data/compiled_bios/1517.txt @@ -0,0 +1 @@ + Paul Medvedev Associate ProfessorDepartment of Biochemistry and Molecular Biology, Genome Sciences Institute of the Huck Affiliation(s): School of Electrical Engineering and Computer Science Computer Science and Engineering Huck Institutes of the Life Sciences W316 Westgate Building pzm11@psu.edu 814-863-1242 Personal or Departmental Website Research Areas: Education BS, Computer Science, University of CA, Los Angeles, 2002 M.Sc., Computer Science, University of Southern Denmark at Odense, 2004 Ph D, Computer Science, University of Toronto, 2010 Publications Journal Articles Chen Sun* and Paul Medvedev, 2018, "Toward fast and accurate SNP genotyping from whole genome sequencing data for bedside diagnostics", Bioinformatics, pp. bty641 Sven Warris, Elio Schijlen, Henri van de Geest, Rahulsimham Vegesna*, Thamara Hesselink, Bas te Lintel Hekkert, Gabino Sanchez-Perez, Paul Medvedev, Kateryna D Makova and Dick de Ridder, 2018, "Correcting palindromes in long reads after whole-genome amplification", BMC genomics, 19, (1), pp. 22 pages Paul Medvedev, 2018, "Modeling Biological Problems in Computer Science: A Case Study in Genome Assembly", Briefings in Bioinformatics, bby003, pp. 10 pages Kristoffer Sahlin, Marta Tomaszkiewicz, Kateryna D Makova and Paul Medvedev, 2018, "Deciphering highly similar multigene family transcripts from Iso-Seq data with IsoCon", Nature Communications, 9, pp. 4601 Conference Proceedings Rayan Chikhi, Vladan Jovicic, Stefan Kratsch, Paul Medvedev, Martin Milanic, Sofya Raskhodnikova and Nithin Varma*, 2018, "Bipartite Graphs of Small Readability", Springer, 10976, pp. 16 pages Research Projects February2015-January2020,"CAREER: De Novo Assembly of Large Genomic Data,"(Sponsor:National Science Foundation). September2014-August2018,"XPS: FULL: DSD: End-to-end Acceleration of Genomic Workflows on Emerging Heterogeneous Supercomputers,"(Sponsor:National Science Foundation). June2014-May2018,"ABI Innovation: A Novel Framework for Detecting Genomic Structural Variation,"(Sponsor:National Science Foundation). Honors and Awards Service Service to Penn State: Service to External Organizations: diff --git a/src/data/compiled_bios/1518.txt b/src/data/compiled_bios/1518.txt new file mode 100644 index 0000000000..57b3e50868 --- /dev/null +++ b/src/data/compiled_bios/1518.txt @@ -0,0 +1 @@ + Vijaykrishnan Narayanan A. Robert Noll Chair and Distinguished Professor of EECS Affiliation(s): School of Electrical Engineering and Computer Science Computer Science and Engineering Electrical Engineering W323 Westgate Building vxn9@psu.edu 814-863-0392 Personal or Departmental Website Research Areas: Interest Areas: Energy-aware and reliable systems, soft error testing and protection, embedded Java, nano/VLSI systems, computer architecture. Education Publications Books C. Nicopoulos, N. Vijaykrishnan and C. R. Das, 2009, Network-on-Chip Architectures: A Holistic Design Exploration, Springer, pp. 175 Book, Chapters Xueqing Li, Sumitha George, Kaisheng Ma, John Sampson and Vijaykrishnan Narayanan, 2017, Enabling Internet-of-Things with Opportunities Brought by Emerging Devices, Circuits and Architectures, Springer, pp. 1-23 Vijaykrishnan Narayanan, Xueqing Li, Moon Seok Kim and Sumitha George, 2017, Emerging Steep-Slope Devices and Circuits: Opportunities and Challenges, Springer X. Wu, Y. Xie and Vijaykrishnan Narayanan, 2012, Thermal-aware 3D IC Designs, Pan Stanford Publishing, Ltd., pp. 313-334 S. Eachempati, R. Das, Vijaykrishnan Narayanan, Y. Xie, S. Datta and C. R. Das, 2011, HeTERO: Hybrid Topology Exploration for RF Based On Chip Networks, CRC Press, pp. Ch. 6, 201-248 S. Eachempati, A. Gayasen, Vijaykrishnan Narayanan and M. J. Irwin, 2011, Leveraging Emerging Technology Through Architectural Exploration for the Routing Fabric of Future FPGAs, Springer, pp. 189-214 V. Kumar*, K. Irick*, A. Maashri* and Vijaykrishnan Narayanan, 2011, A Scalable Bandwidth-Aware Architecture for Connected Component Labeling S. Eachempati, D. Park, R. Das, A. K. Mishra, N. Vijaykrishnan, Y. Xie and C. R. Das, 2010, Three-Dimensional On-Chip Interconnect Architectures, Chapman & Hall/CRC Computational Science, pp. Ch. 11, 353-382 A. Maashri, G. Sun, X. Dong, Y. Xie and N. Vijaykrishnan, 2010, Influence of Stacked 3D Memory/Cache Architectures on GPUs, Springer, pp. Ch. 11, 249-272 A. Yanamandra, S. Eachempati, N. Vijaykrishnan and M. J. Irwin, 2010, Reliability Aware Power Optimizations in DVFS-based On-Chip Networks, pp. Ch. 11, 277-292 V. Degalahal, R. Ramanrayanan, N. Vijaykrishnan, Y. Xie and M. J. Irwin, 2006, Effect of Power Optimizations on Soft Error Rate J. S. Hu, G. Chen, M. Kandemir and N. Vijaykrishnan, 2006, Software Power Optimisation, pp. 289-316 I. Kadayif, M. Kandemir, A. Choudhary, M. Karakoy, Vijaykrishnan Narayanan and M. J. Irwin, 2005, Compiler-directed Communication Energy Optimizations for Microsensor Networks, CRC Press, pp. 711-734 H. Saputra, N. Vijaykrishnan, M. Kandemir, R. Brooks and M. J. Irwin, 2005, An Energy-aware Approach for Sensor Data Communication, CRC Press, pp. 697-720 N. Vijaykrishnan, M. J. Irwin, M. Kandemir, L. Li, G. Chen and B. Kang, 2005, Designing Energy-aware Sensor Systems, CRC Press, pp. 653-666 M. J. Irwin, L. Benini, N. Vijaykrishnan and M. Kandemir, 2004, Techniques for Designing Energy-aware MPSoCs, pp. Ch. 2, 21-47 I. Kadayif, M. Kandemir, N. Vijaykrishnan, M. J. Irwin and I. Kolcu, 2004, Reducing Energy Consumption in Chip Multiprocessors using Workload Variation, pp. 123-140 Parts of Book T. Theocharides, G. Link, N. Vijaykrishnan and M. J. Irwin, 2005, Networks on Chip: Interconnects for the Next Generation Systems on Chip, pp. 35-89 Journal Articles Xueqing Li, Sumitha George, Kaisheng Ma, Wei-Yu Tsai, Ahmedullah Aziz, John Sampson, Sumeet Gupta, Meng-Fan Chang, Yongpan Liu, Suman Datta and Vijaykrishnan Narayanan, 2017, "Advancing Nonvolatile Computing with Nonvolatile NCFET Latches and Flip-Flops", IEEE Transactions On Circuits and Systems I: Regular Papers, 64, (11), pp. 2907-2919 Xueqing Li, John Sampson, Asif Khan, Kaisheng Ma, Sumitha George, Ahmedullah Aziz, Sumeet Gupta, Sayeef Salahuddin, Meng-Fan Chang, Suman Datta and Vijaykrishnan Narayanan, 2017, "Enabling Energy-Efficient Nonvolatile Computing with Negative Capacitance FET", IEEE Transactions on Electron Devices, 64, (8), pp. 3452-3458 Xueqing Li, Kaisheng Ma, Sumitha George, Win-San Khwa, John Sampson, Sumeet Gupta, Yongpan Liu, Meng-Fan Chang, Suman Datta and Vijaykrishnan Narayanan, 2017, "Design of Nonvolatile SRAM with Ferroelectric FETs for Energy-Efficient Backup and Restore", IEEE Transactions on Electron Devices, 64, (7), pp. 3037-3040 Kaisheng Ma, Xueqing Li, Xiao Shen, Yiqun Wang, Huichu Liu, Shuangchen Li, Karthik Swaminathan, Yongpan Liu, Yuan Xie, John Sampson and Vijaykrishnan Narayanan, 2017, "Dynamic power and energy management for energy harvesting nonvolatile processor systems", ACM Transactions on Embedded Computing Systems (TECS), 16, (4) Siddharth Advani, Peter A. Zientara, Nikhil Shukla, Ikenna Okafor, Kevin M. Irick, John Sampson, Suman Datta and Vijaykrishnan Narayanan, 2017, "A Multitask Grocery Assist System for the Visually Impaired: Smart glasses, gloves, and shopping carts provide auditory and tactile feedback", IEEE Consumer Electronics Magazine, 6, (1), pp. 73-81 Peter A. Zientara, Sooyeon Lee, Gus H. Smith, Rorry Brenner, Laurent Itti, Mary Beth Rosson, John M. Carroll, Kevin M. Irick and Vijaykrishnan Narayanan, 2017, "Third Eye: A Shopping Assistant for the Visually Impaired", IEEE Computer, 52, (2), pp. 16-24 Tsai Wei-Yu, Davis R. Barch, Andrew S. Cassidy, Michael V. DeBole, Alexander Andreopoulos, Bryan L. Jackson, Myron D. Flickner, John V. Arthur, Dharmendra S. Modha, John Sampson and Vijaykrishnan Narayanan, 2017, "Always-On Speech Recognition Using TrueNorth, a Reconfigurable, Neurosynaptic Processor", IEEE Transactions Computers, 66, (6), pp. 996-1007 Yinan Sun, , Zhe Yuan, Yongpan Liu, X. Li, Yu Wang, Qi Wei, Yiqun Wang and Vijaykrishnan Narayanan, 2017, "Maximum Energy Efficiency Tracking Circuits for Converter-Less Energy Harvesting Sensor Nodes", IEEE Transactions on Circuits and Systems, 64-II, (6), pp. 670-674 Yang Xiao, Siddharth Advani, Donghwa Shin, Naehyuck Chang, John Sampson and Vijaykrishnan Narayanan, 2016, "A Saliency-Driven LCD Power Management System", IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 24, (8), pp. 26892702 Wei-Yu Tsai, Davis Barch, Andrew Cassidy, Mike Debole, Alexander Andreopoulos, Bryan Jackson, Myron Flickner, John Arthur, Dharmendra Modha, Jack Sampson and Vijaykrishnan Narayanan, 2016, "Always-on Speech Recognition using TrueNorth, a Reconfigurable, Neurosynaptic Processor", IEEE Transactions on Computers, (99) Ching-Hsuan Ho, Yung-Chih Chen, Chun-Yao Wang, Ching-Yi Huang, Suman Datta and Vijaykrishnan Narayanan, 2016, "Area-Aware Decomposition for Single-Electron Transistor Arrays", ACM Transactions on Design Automation of Electronic Systems (TODAES), 21, (4), pp. 70 Moon Seok Kim, William Cane-Wissing, Xueqing Li, Jack Sampson, Suman Datta, Sumeet Gupta and Vijaykrishnan Narayanan, 2016, "Comparative area and parasitics analysis in FinFET and heterojunction vertical TFET standard cells", ACM Journal on Emerging Technologies in Computing Systems (JETC), 12, (4), pp. 38 Srivatsa Srinivasa, Ahmedullah Aziz, Nikhil Shukla, Xueqing Li, John Sampson, Suman Datta, Jaydeep P Kulkarni, Vijaykrishnan Narayanan and Sumeet Gupta, 2016, "Correlated Material Enhanced SRAMs With Robust Low Power Operation", IEEE Transactions on Electron Devices, 63, (12), pp. 47444752 Ching-Yi Huang, Yun-Jui Li, Chian-Wei Liu, Chun-Yao Wang, Yung-Chih Chen, Suman Datta and Vijaykrishnan Narayanan, 2016, "Diagnosis and Synthesis for Defective Reconfigurable Single-Electron Transistor Arrays", IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 24, (6), pp. 23212334 Wei-Yu Tsai, Xueqing Li, Matthew Jerry, Baihua Xie, Nikhil Shukla, Huichu Liu, Nandhini Chandramoorthy, Matthew Cotter, Arijit Raychowdhury, Donald M Chiarulli, Steven P. Levitan, Suman Datta, John Sampson, Nagarajan Ranganathan and Vijaykrishnan Narayanan, 2016, "Enabling new computation paradigms with hyperFET-an emerging device", IEEE Transactions on Multi-Scale Computing Systems, 2, (1), pp. 3048 Ikenna J Okafor, Kevin M Irick and Vijaykrishnan Narayanan, 2016, "Exploration of Hardware Acceleration for a Neuromorphic Visual Classification System", The Penn State McNair Journal, pp. 77 Moon Seok Kim, Xueqing Li, Huichu Liu, John Sampson, Suman Datta and Vijaykrishnan Narayanan, 2016, "Exploration of low-power high-SFDR current-steering D/A converter design using steep-slope heterojunction Tunnel FETs", IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 24, (6), pp. 22992309 Yinan Sun, Zhe Yuan, Yongpan Liu, Xueqing Li, Yiqun Wang, Qi Wei, Yu Wang, Vijaykrishnan Narayanan and Huazhong Yang, 2016, "Maximum Energy Efficiency Tracking Circuits for Converter-less Energy Harvesting Sensor Nodes", IEEE Transactions on Circuits and Systems II: Express Briefs Kaisheng Ma, Xueqing Li, Karthik Swaminathan, Yang Zheng, Shuangchen Li, Yongpan Liu, Yuan Xie, John Sampson and Vijaykrishnan Narayanan, 2016, "Nonvolatile Processor Architectures: Efficient, Reliable Progress with Unstable Power", IEEE Micro, 36, (3), pp. 7283 John Sustersic, Brad Wyble, Siddharth Advani and Vijaykrishnan Narayanan, 2016, "Towards a unified multiresolution vision model for autonomous ground robots", Robotics and Autonomous Systems, 75, pp. 221232 Chian-Wei Liu, Chang-En Chiang, Ching-Yi Huang, Yung-Chih Chen, Chun-Yao Wang, Suman Datta and Vijaykrishnan Narayanan, 2015, "Synthesis for Width Minimization in the Single-Electron Transistor Array", IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 23, (12), pp. 28622875 Dan Hammerstrom and Vijaykrishnan Narayanan, 2015, "Introduction to Special Issue on Neuromorphic Computing", Journal on Emerging Technologies in Computing Systems, 11, (4), pp. 32 L. Liu, X. Li, Vijaykrishnan Narayanan and Suman Datta, 2015, "A Reconfigurable Low-Power BDD Logic Architecture Using Ferroelectric Single-Electron Transistors", IEEE Transactions on Electron Devices, 62, (3), pp. 1052-1057 Kaisheng Ma*, Xueqing Li, Shuangchen Li, Yongpan Liu, John Sampson, Yuan Xie and Vijaykrishnan Narayanan, 2015, "Nonvolatile Processor Architecture Exploration for Energy-HarvestingApplications", IEEE Micro, 35, (5), pp. 3240 Vijaykrishnan Narayanan, Charles J. Alpert and Sara Dailey, 2015, "Editorial", IEEE Trans. on CAD of Integrated Circuits and Systems, 34, (1), pp. 1 Huichu Liu, Xueqing Li, Ramesh Vaddi, Kaisheng Ma, Suman Datta and Vijaykrishnan Narayanan, 2014, "Tunnel FET RF Rectifier Design for Energy Harvesting Applications", IEEE Journal on Emerg. Sel. Topics Circuits Systems, 4, (4), pp. 400411 Jia Zhan, Nikolay Stoimenov, Jin Ouyang, Lothar Thiele, Vijaykrishnan Narayanan and Yuan Xie, 2014, "Optimizing the NoC Slack Through Voltage and Frequency Scaling inHard Real-Time Embedded Systems", IEEE Trans. on CAD of Integrated Circuits and Systems, 33, (11), pp. 16321643 Moon Seok Kim, Huichu Liu, Xueqing Li, Suman Datta and Vijaykrishnan Narayanan, 2014, "A Steep-Slope Tunnel FET Based SAR Analog-to-Digital Converter", IEEE Transactions on Electron Devices, 61, (11), pp. 3661-3667 Yong Cheol Peter Cho, Nandhini Chandramoorthy, Kevin M Irick and Vijaykrishnan Narayanan, 2014, "Accelerating Multiresolution Gabor Feature Extraction for Real TimeVision Applications", Signal Processing Systems, 76, (2), pp. 149168 Huichu Liu, M. Cotter, Suman Datta and Vijaykrishnan Narayanan, 2014, "Soft-Error Performance Evaluation on Emerging Low Power Devices", IEEE Transactions on Device and Materials Reliability, 14, (2), pp. 732-741 Nikhil Shukla, Abhinav Parihar, Eugene Freeman, Hanjong Paik, Greg Stone, Vijaykrishnan Narayanan, Haidan Wen, Zhonghou Cai, Venkatraman Gopalan, Roman Engel-Herbert, Darrell G. Schlom, Arijit Raychowdhury and Suman Datta, 2014, "Synchronized charge oscillations in correlated electron systems", Scientific Reports, 4, (4964), pp. 6 Suman Datta, Huichu Liu and Vijaykrishnan Narayanan, 2014, "Tunnel FET technology: A reliability perspective", Microelectronics Reliability, 54, (5), pp. 861874 R. Pandey, V. Saripalli, J.P. Kulkarni, Vijaykrishnan Narayanan and Suman Datta, 2014, "Impact of Single Trap Random Telegraph Noise on Heterojunction TFET SRAM Stability", IEEE Electron Device Letters, 35, (3), pp. 393-395 R. Pandey, B. Rajamohanan, Huichu Liu, Vijaykrishnan Narayanan and Suman Datta, 2014, "Electrical Noise in Heterojunction Interband Tunnel FETs", IEEE Transactions on Electron Devices, 61, (2), pp. 552-560 Vijaykrishnan Narayanan, 2014, "Editorial", IEEE Trans. on CAD of Integrated Circuits and Systems, 33, (1), pp. 1 R. Mukundrajan, M. Cotter, V. Saripalli, M. J. Irwin, S. Datta and Vijaykrishnan Narayanan, 2013, "Design of Energy-efficient Circuits and Systems Using Tunnel Field Effect Transistors", IET Circuits, Devices & Systems (IET-CDS), Special Issue: Design Methodologies for Nanoelectronic Digital and Analogue Circuits, 7, (5), pp. 294-303 Y. Chen, S. Eachempati, C.-Y. Wang, S. Datta, Y. Xie and Vijaykrishnan Narayanan, 2013, "A Synthesis Algorithm for Reconfigurable Single-Electron Transistor Arrays", ACM Journal on Emerging Technologies in Computing Systems, 9, (1), pp. 20 A. Maashri, M. Cotter, N. Chandramoorthy, M. DeBole, C.-L. Yu, Vijaykrishnan Narayanan and C. Chakrabarti, 2013, "Hardware Acceleration for Neuromorphic Vision Algorithms", Signals Processing Systems, 70, (2), pp. 163-175 L. Liu, Vijaykrishnan Narayanan and S. Datta, 2013, "A Programmable Ferroelectric Single Electron Transisistor", Applied Physics Letters, 102, (5), pp. 4 K. Swaminathan, E. Kultursay, V. Saripalli, Vijaykrishnan Narayanan, M. Kandemir and S. Datta, 2013, "Steep-Slope Devices: From Dark to Dim Silicon", IEEE Micro, 33, (5), pp. 50-59 S. Yang, P. Gupta, M. Wolf, D. Serpanos, Y. Xie and Vijaykrishnan Narayanan, 2012, "Power Analysis Attack Resistance Engineering by Dynamic Voltage and Frequency Scaling", ACM Transactions on Embedded Computing Systems (TECS), 11, (3), pp. 16 P. Singh, Vijaykrishnan Narayanan and D. Landis, 2012, "Targeted Random Test Generation for Power-aware Multicore Designs", ACM Transactions on Design Automation of Electronic Systems, 17, (3), pp. 25 C. Celik, K. Unlu, Vijaykrishnan Narayanan and M. J. Irwin, 2011, "Soft Error Modeling and Analysis of the Neutron Intercepting Silicon Chip (NISC)", Nuclear Instruments and Methods in Phsyics Research A, 652, (1), pp. 370-373 C. Celik, K. Unlu, Vijaykrishnan Narayanan and M. J. Irwin, 2011, "Cosmic Ray Background Effects on the Neutron Intercepting Silicon Chip (NISC)", Nuclear Instruments and Methods in Phsyics Research A, 652, (1), pp. 338-341 V. Saripalli, G. Sun, A. Mishra, Y. Xie, S. Datta and Vijaykrishnan Narayanan, 2011, "Exploiting Heterogeneity for Energy Efficiency in Chip Multiprocessors", IEEE Journal of Emerging and Selected Topics in Circuits and Systems, 1, (2), pp. 109-119 E. Macii, Vijaykrishnan Narayanan and K. Roy, 2011, "Advances in Design of Energy-Efficient Circuits and Systems (First Issue)", 1, (2), pp. 73-75 A. K. Mishra, A. Yanamandra, R. Das, S. Eachempati, R. Iyer, Vijaykrishnan Narayanan and C. R. Das, 2011, "RAFT: FPGA Architecture for 2D A Router Architecture with Frequency Tuning for On-Chip Networks", Journal of Parallel and Distributed Computing, 71, (5), pp. 625-640 C.-L. Yu, K. Irick, C. Chakrabarti and Vijaykrishnan Narayanan, 2011, "Multidimensional DFT IP Generator for FPGA Platforms", IEEE Transactions on Circuits and Systems 58, 1, (4), pp. 755-764 F. Wang, Y. Chen, X. Wu, C. Nicopoulos, Y. Xie and Vijaykrishnan Narayanan, 2011, "Variation-aware Task and Communication Mapping for MPSoC Architecture", IEEE Transactions on CAD of Integrated Circuits and Systems, 30, (2), pp. 295-307 D. Mohata, S. Mookerjea, A. Agrawal, Y. Li, T. Mayer, Vijaykrishnan Narayanan, A. Liu and S. Datta, 2011, "Experimental Staggered Source and N+ Pocket-Doped Channel III-V Tunnel Field-Effect Transistors and Their Scalabilities", Applied Physics Express, 4, (2), pp. 024105-1-024105-3 C.-L. Yu, J. S. Kim, L. Deng, S. Kestur, Vijaykrishnan Narayanan and C. Chakrabarti, 2011, "FPGA Architecture for 2D Discrete Fourier Transform Based on 2D Decomposition for Large-sized Data", 64, (1), pp. 109-122 A. K. Mishra, A. Yanamandra, R. Das, S. Eachempati, R. Iyer, N. Vijaykrishnan and C. R. Das, 2010, "RAFT: A Router Architecture with Frequency Tuning for On-Chip Networks", Journal of Parallel and Distributed Computing V. Saripalli, L. Liu, S. Datta and N. Vijaykrishnan, 2010, "Energy-Delay Performance of Nanoscale Transistors Exhibiting Single Electron Behavior and Associated Logic Circuits", Journal of Low Power Electronics, 6, (3), pp. 415-428 S. Mookerjea, D. Mohata, T. Mayer, N. Vijaykrishnan and S. Datta, 2010, "Temperature-Dependent I-V Characteristics of a Vertical In0.53Ga0.47AS Tunnel FET", IEEE Electron Device Letters, 31, (6), pp. 564-566 W.-L. Hung, Y. Xie, N. Vijaykrishnan, M. Kandemir and M. J. Irwin, 2010, "Total Power Optimization for Combinational Logic Using Genetic Algorithms", Journal of VLSI Signal Processing Systems, 58, (2), pp. 145-160 C. A. Nicopoulos, S. Srinivasan, A. Yanamandra, D. Park, N. Vijaykrishnan, C. R. Das and M. J. Irwin, 2010, "On the Effects of Process Variation in Network-on-Chip Architectures", IEEE Transactions on Dependable and Secure Computing (TDSC), 7, (3), pp. 240-254 J. S. Kim, P. Mangalagiri, K. Irick, M. Kandemir, N. Vijaykrishnan, K. Sobti, L. Deng, C. Chakrabarti, N. Pitsianis and X. Sun, 2009, "An Automated Framework for Accelerating Numerical Algorithms on Reconfigurable Platforms Using Algorithmic/Architectural Optimization", IEEE Transactions on Computers, 58, (12), pp. 1654-1667 S. Mookerjea, R. Krishnan, S. Datta and Vijaykrishnan Narayanan, 2009, "On Enhanced Miller Capacitance Effect in Inter-Band Tunnel Transistors", IEEE Electron Device Letters, 30, (10), pp. 1102-1104 S. Mookerjea, R. Krishnan, S. Datta and Vijaykrishnan Narayanan, 2009, "Effective Output Capacitance and Drive Current for Tunnel FET (TFET) CV/I Estimation", IEEE Transactions on Electron Devices, 56, (9), pp. 2092-2098 M. DeBole, R. Krishnan, V. Balakrishnan, W. Wang, H. Luo, Y. Wang, Y. Xie, Y. Cao and N. Vijaykrishnan, 2009, "New-Age: A Negative Bias Temperature Instability-Estimation Framework for Microarchitectural Components.", International Journal of Parallel Programming, 37, (4), pp. 417-431 J. Hu, F. Li, V. Degalahal, M. Kandemir, N. Vijaykrishnan and M. J. Irwin, 2009, "Compiler-assisted Soft Error Detection under Performance and Energy Constraints in Embedded Systems", ACM Transactions on Embedded Computing Systems, 8, (4), pp. 27.1-27.29 M. Mutyam, F. Wang, R. Krishnan, N. Vijaykrishnan, M. Kandemir, Y. Xie and M. J. Irwin, 2009, "Process Variation Aware Adaptive Cache Architecture and Management", IEEE Transactions on Computers, 58, (7), pp. 865-877 S. Eachempati, N. Vijaykrishnan, A. Nieuwoudt and Y. Massoud, 2009, "Predicting the Performance and Reliability of Future Field Programmable Gate Arrays Routing Architectures with Carbon Nanotube Bundle Interconnect", IET Circuits, Devices, & Systems, 3, (2), pp. 64-75 T. Ragheb, A. Ricketts, M. Modal, S. Kirolos, G. Link, N. Vijaykrishnan and Y. Massoud, 2009, "Design of Thermally Robust Clock Trees using Dynamically Adaptive Clock Buffers", IEEE Transactions on Circuits and Systems (TCAS), 56, (2), pp. 374-383 R. Ramanaryanan, V. Degalahal, R. Krishnan, J. Kim, N. Vijaykrishnan, Y. Xie, M. Irwin and K. Unlu, 2009, "Modeling Soft Errors at Device and Logic Level for Combinational Circuits", IEEE Transactions on Dependable and Secure Computing (TDSC), 6, (3), pp. 202-216 S. Srinivasan, F. Angiolini, M. Ruggiero, N. Vijaykrishnan and L. Benini, 2008, "Exploring Architectural Solutions for Energy Optimizations in Bus Based SoC", IET Computers & Digital Techniques, 2, (5), pp. 347-354 C. Celik, K. Unlu, K. Ramakrishnan, R. Rajarman, N. Vijaykrishnan, M. J. Irwin and Y. Xie, 2008, "Thermal Neutron Induced Soft Error Rate Measurement in Semiconductor Memories and Circuits", Journal of Radioanalytical and Nuclear Chemistry, 278, (2), pp. 509-512 A. Gayasen, N. Vijaykrishnan, M. Kandemir and A. Rahman, 2008, "Designing a 3-D FPGA: Switch Box Architecture and Thermal Issues", IEEE Transactions on VLSI, 16, (7), pp. 882-893 S. Yang, W. Wang, T. Lu, W. Wolf, N. Vijaykrishnan and Y. Xie, 2008, "Case Study of Reliability-Aware and Low-Power Design", IEEE Transactions on Very Large Scale Integration (VLSI), 16, (7), pp. 861-873 Y. Tsai, F. Wang, Y. Xie, N. Vijaykrishnan and M. J. Irwin, 2008, "Design Space Exploration for Three-Dimensional Cache", IEEE Transactions on VLSI, 16, (4), pp. 444-455 S. Srinivasan, R. Krishnan, P. Mangalagiri, Y. Xie, N. Vijaykrishnan, M. J. Irwin and K. Sarpatwari, 2008, "Toward Increasing FPGA Lifetime", IEEE Transactions on Dependable and Secure Computing, 5, (2), pp. 115-127 R. Brooks, P. Govindaraju, M. Piretti, N. Vijaykrishnan and M. Kandemir, 2007, "On the Detection of Clones in Sensor Networks Using Random Key Predistribution", IEEE Transactions on Systems, Man, and Cybernetics, 37, (6), pp. 1246-1258 Y. Xie, L. Li, M. Kandemir, N. Vijaykrishnan and M. J. Irwin, 2007, "Reliability-Aware Co-synthesis for Embedded Systems", Journal of VLSI Signal Processing, 49, (1), pp. 87-99 F. Wang, M. Debole, X. Wu, Y. Xie, N. Vijaykrishnan and M. J. Irwin, 2007, "On-chip Bus Thermal Analysis and Optimization", IET Computer & Digital Techniques, 1, (5), pp. 590-599 S. Kim, N. Vijaykrishnan and M. J. Irwin, 2007, "Reducing Non-Deterministic Loads in Low-Power Caches via Early Cache Set Resolution", Microprocessors and Microsystems, 31, (5), pp. 293-301 A. Gayasen, S. Srinivasan, N. Vijaykrishnan and M. Kandemir, 2007, "Design of Power-Aware FPGA Fabrics", International Journal of Embedded Systems, 3, (1/2), pp. 52-64 T. Li, J. Rubio, L. K. John, A. Sivasubramaniam and N. Vijaykrishnan, 2007, "OS-aware Branch Prediction: Improving Microprocessor Control Flow Prediction for Operating Systems", IEEE Transactions on Computers, 56, (1), pp. 2-17 W. Zhang, Y.-F. Tsai, D. Duarte, N. Vijaykrishnan, M. Kandemir and M. J. Irwin, 2006, "Reducing Dynamic and Leakage Energy in VLIW Architectures", ACM Transactions on Embedded Computing Systems, 5, (1), pp. 1-28 J. Lee, N. Vijaykrishnan, M. J. Irwin and W. Wolf, 2006, "An Efficient Architecture for Motion Estimation and Compensation in the Transform Domain", IEEE Transactions on Circuits and Systems for Video Technology, 16, (2), pp. 191-201 M. Pirretti, S. Zhu, Vijaykrishnan Narayanan, P. McDaniel, M. Kandemir and R. Brooks, 2006, "The Sleep Deprivation Attack in Sensor Networks: Analysis and Methods of Defense", International Journal of Distributed Sensor Networks, 2, (3), pp. 267-287 J. Lee, N. Vijaykrishnan and M. J. Irwin, 2006, "Block-Based Frequency Scalable Technique for Efficient Hierarchical Coding", IEEE Transactions on Signal Processing, 54, (7), pp. 2559-2566 N. Vijaykrishnan and Y. Xie, 2006, "Reliability Concerns in Embedded System Designs", IEEE Computer Magazine, 39, (1), pp. 118-120 J. Lee, N. Vijaykrishnan and M. J. Irwin, 2006, "Efficient VLSI Implementation of Inverse Discrete Cosine Transform", IEEE Transactions on Circuits and Systems for Video Technology, 16, (5), pp. 655-662 Vijaykrishnan Narayanan and M. J. Irwin, 2005, "Editorial", Journal on Emerging Technologies in Computing Systems, 1, (1), pp. 1-6 V. Degalahal, L. Li, Vijaykrishnan Narayanan, M. Kandemir and M. J. Irwin, 2005, "Soft Error Issues in Low Power Caches", IEEE Transactions on VLSI, 13, (10), pp. 1157-1166 E.-J. Kim, G. Link, K. H. Yum, N. Vijaykrishnan, M. Kandemir, M. J. Irwin and C. R. Das, 2005, "A Holistic Approach to Designing Energy-Efficient Cluster Interconnects", IEEE Transactions on Computers, 54, (6), pp. 660-671 J. S. Hu, M. Kandemir, N. Vijaykrishnan and M. J. Irwin, 2005, "Analyzing Data Reuse for Cache Reconfiguration", ACM Transactions on Embedded Computer Systems (TECS), 4, (4), pp. 851-876 S. Kim, N. Vijaykrishnan, M. Kandemir and M. J. Irwin, 2005, "Optimizing Leakage Energy Consumption in Cache Bitlines", Journal of Design Automation for Embedded Systems (DAEM), 9, (1), pp. 5-18 I. Kadayif, M. Kandemir, N. Vijaykrishnan and M. J. Irwin, 2005, "An Integar Linear Programming Based Tool for Wireless Sensor Networks", Journal of Parallel and Distributed Computing (JPDC), 65, (3), pp. 247-260 S. Yang, W. Wolf and N. Vijaykrishnan, 2005, "Power and Performance Analysis of Motion Estimation Based on Hardware and Software Realizations", IEEE Transactions on Computers, 54, (6), pp. 714-726 W. Zhang, Y.-F. Tsai, M. Kandemir, Vijaykrishnan Narayanan, M. J. Iriwn and V. De, 2005, "Leakage-Aware Compilation for VLIW Architectures", IEE Proceedings: Computers and Digital Techniques, 152, (2), pp. 251-260 I. Kadayif, M. Kandemir, G. Chen, N. Vijaykrishnan, M. J. Irwin and A. Sivasubramaniam, 2005, "Compiler-directed High-level Energy Estimation and Optimization", ACM Transactions on Embedded Computing Systems (TECS), 4, (4), pp. 819-850 S. Kim, N. Vijaykrishnan, M. Kandemir and M. J. Irwin, 2005, "Exploiting Temporal Loads for Low Latency and High Bandwidth Memory", IEE Proceeding: Computers and Digital Techniques, 152, (4), pp. 457-466 Y.-F. Tsai, D. Duarte, Vijaykrishnan Narayanan and M. J. Irwin, 2004, "Characterization and Modeling of Run-Time Techniques for Leakage Power Reduction", IEEE Transactions on Very Large Scale Integration Systems, 12, (11), pp. 1221-1233 G. Chen, B. Kang, M. Kandemir, N. Vijaykrishnan, M. J. Irwin and R. Chandramouli, 2004, "Studying Energy Tradeoffs in Off-loading Computation/Compilation in Java-enabled Mobile Devices", IEEE Transactions on Parallel and Distributed Systems (TPDS), 15, (9), pp. 795-809 A. Parikh, S. Kim, M. Kandemir, N. Vijaykrishnan and M. J. Irwin, 2004, "Instruction Scheduling for Low Power", Journal of VLSI Signal Processing Systems, 37, (1), pp. 129-149 W. Zhang, J. S. Hu, V. Degalahal, M. Kandemir, N. Vijaykrishnan and M. J. Irwin, 2004, "Reducing Instruction Cache Energy Consumption Using a Compiler-based Strategy", ACM Transactions on Architecture Code Optimization (TACO), 1, (1), pp. 3-33 J. Juran, A. R. Hurson, N. Vijaykrishnan and S. Kim, 2004, "Data Organization and Retrieval on Parallel Air Channels", ACM/Kluwer Wireless Networks (WINET) Journal, 10, (2), pp. 183-195 M. Kandemir, J. Ramanujam, M. J. Irwin, N. Vijaykrishnan, I. Kadayif and A. Parikh, 2004, "A Compiler Based Approach for Dynamically Managing Scratch-pad Memories in Embedded Systems", IEEE Transactions on Computer Aided Design, 23, (2), pp. 243-260 S. Kim, S. Tomar, N. Vijaykrishnan, M. Kandemir and M. J. Irwin, 2004, "Energy-Efficient Java Execution Using Local Memory and Object Co-location", IEE Proceedings: Computers and Digital Techniques, 151, (1), pp. 33-42 N. Vijaykrishnan, M. Kandemir, M. J. Irwin, H. Kim and W. Ye, 2003, "Evaluating Integrated Hardware-Software Optimizations Using a Unified Energy Estimation Framework", IEEE Transactions on Computers, 52, (1), pp. 59-76 L. Li, I. Kadayif, Y.-F. Tsai, N. Vijaykrishnan, M. Kandemir, M. J. Irwin and A. Sivasubramaniam, 2003, "Managing Leakage Energy in Cache Hierarchies", Journal of Instruction-level Parallelism, 5 S. Kim, N. Vijaykrishnan, M. Kandemir, A. Sivasubramaniam and M. J. Irwin, 2003, "Partitioned Instruction Cache Architecture for Energy Efficiency", ACM Transactions on Embedded Computing Systems: Special Issue on Compilers, Architecture, and Synthesis for Embedded Systems, 2, (2), pp. 163-185 H. Saputra, N. Vijaykrishnan, M. Kandemir, M. J. Irwin, R. Brooks, S. Kim and W. Zhang, 2003, "Masking the Energy Behavior of Encryption Algorithms", IEE Proceedings: Computers and Digital Techniques, 150, (5), pp. 274-284 N. Kim, T. Austin, D. Blaauw, T. Mudge, K. Flautner, J. S. Hu, M. J. Iriwn, M. Kandemir and N. Vijaykrishnan, 2003, "Leakage Current: Moore's Law Meets Static Power", IEEE Computer, Special Issue on Power- and Temperature-Aware Computing, 36, (12), pp. 68-75 G. Chen, M. Kandemir, Vijaykrishnan Narayanan, N. Vijaykrishnan and M. Wolczko, 2002, "Tuning Garbage Collection for Reducing Memory System Energy in an Embedded Java Environment", ACM Transactions on Embedded Computer Systems, 1, (1), pp. 27-55 N. An, S. Gurumurthi, A. Sivasubramaniam, N. Vijaykrishnan, M. Kandemir and M. J. Irwin, 2002, "Energy-Performance Trade-Offs for Spatial Access Methods on Memory-Resident Data", International Journal on Very Large Databases, 11, (3), pp. 179-197 D. E. Duarte, N. Vijaykrishnan and M. J. Irwin, 2002, "A Clock Power Model to Evaluate Impact of Architectural and Technology Optimizations", IEEE Transactions on VLSI, 10, (6), pp. 844-855 B. Bishop, V. Lyuboslavsky, N. Vijaykrishnan and M. J. Irwin, 2001, "Design Considerations for Databus Charge Recovery", IEEE Transactions on Very Large Scale Integration Systems, 9, (1), pp. 104-106 G. Esakkimuthu, H. S. Kim, M. Kandemir, N. Vijaykrishnan and M. J. Irwin, 2001, "Investigating Memory System Energy Behavior Using Software and Hardware Optimizations", Special Issue in Low Power System Design of VLSI DESIGN, 12, (2), pp. 151-165 R. Radharkrishnan, N. Vijaykrishnan, L. K. John, A. Sivasubramaniam, J. Rubio and J. Sabarinathan, 2001, "Java runtime systems: characterization and architectural implications", IEEE Transactions on Computers, 50, (2), pp. 131-146 V. De La Luz, M. Kandemir, N. Vijaykrishnan, A. Sivasubramaniam and M. J. Irwin, 2001, "Hardware and Software Techniques for Controlling DRAM Power Modes", IEEE Transactions on Computers, Special Issue on Advances in High Performance Memory Systems, 50, (11), pp. 1154-1173 M. Kandemir, N. Vijaykrishnan, M. J. Irwin and W. Ye, 2001, "Influence of Compiler Optimizations on System Power", IEEE Transactions on VLSI Systems, 9, (6), pp. 801-804 G. Chen, M. Kandemir, N. Vijaykrishnan, M. J. Irwin and W. Wolf, 2001, "Using Memory Compression for Energy Reduction in an Embedded Java System", Journal of Circuits, Systems and Computers, 11, (5), pp. 537-556 N. Vijaykrishnan and N. Ranganathan, 2000, "Supporting Object Accesses in a Java Processor", Proceedings of IEE - Computers and Digital Techniques Journal, 147, (6), pp. 435-443 Conference Proceedings Kaisheng Ma, Jinyang Li, Tongda Wu, Zhibo Wang, Xueqing Li, Yongpan Liu, Yuan Xie, Mahmut T Kandemir, John Sampson and Vijaykrishnan Narayanan, 2018, "NEOFog: Nonvolatility-Exploiting Optimizations for Fog Computing" Kaisheng Ma, Xueqing Li, Jinyang Li, Yongpan Liu, Yuan Xie, John Sampson, Mahmut T Kandemir and Vijaykrishnan Narayanan, 2017, "Incidental Computing on IoT Nonvolatile Processors", pp. 204-218 Srivatsa Rangachar Srinivasa, Karthik Mohan, Wei-Hao Chen, Xueqing Li, John Sampson, Sumeet Kumar Gupta, Meng-Fan Chang and Vijaykrishnan Narayanan, 2017, "Exploring the Potential Benefits of Fine Grain Inter-Stack Interconnects in Alleviating the FPGA Design, with Monolithic 3D Integration" Ahmedullah Aziz, Xueqing Li, Nikhil Shukla, Suman Datta, Meng-Fan Chang, Vijaykrishnan Narayanan and Sumeet Kumar Gupta, 2017, "Low Power Current Sense Amplifier based on Phase Transition Material", pp. 1-2 John M. Carroll, Michelle McManus, Sooyeon Lee, Peter A. Zientara and Vijaykrishnan Narayanan, 2017, "The Third Eye: A Shopping Assistant for the Visually Impaired." Wei-Yu Tsai, Jinhang Choi, Tulika Parija, Priyanka Gomatam, Chitaranjan Das, John Sampson and Vijaykrishnan Narayanan, 2017, "Co-training of Feature Extraction and Classification using Partitioned Convolutional Neural Networks" Fang Su, Kaisheng Ma, Xueqing Li, Tongda Wu, Yongpan Liu and Vijaykrishnan Narayanan, 2017, "Nonvolatile processors: Why is it trending?" Sumeet Kumar Gupta, Danni Wang, Sumitha George, Ahmedullah Aziz, Xueqing Li, Suman Datta and Vijaykrishnan Narayanan, 2017, "Harnessing ferroelectrics for non-volatile memories and logic" Sumitha George, Ahmedullah Aziz, Xueqing Li, Moon Seok Kim, Suman Datta, John Sampson, Sumeet Gupta and Vijaykrishnan Narayanan, 2016, "Device Circuit Co Design of FEFET Based Logic for Low Voltage Processors", pp. 649654 Xueqing Li, Kaisheng Ma, Sumitha George, John Sampson and Vijaykrishnan Narayanan, 2016, "Enabling Internet-of-Things: Opportunities brought by emerging devices, circuits, and architectures", pp. 16 Danni Wang, Sumitha George, Ahmedullah Aziz, Suman Datta, Vijaykrishnan Narayanan and Sumeet Gupta, 2016, "Ferroelectric Transistor based Non-Volatile Flip-Flop", pp. 1015 Wei-Yu Tsai, Davis R Barch, Andrew S Cassidy, Michael Vincent Debole, Alexander Andreopoulos, Bryan L Jackson, Myron D Flickner, Dharmendra S Modha, Jack Sampson and Vijaykrishnan Narayanan, 2016, "LATTE: Low-power Audio Transform with TrueNorth Ecosystem", pp. 42704277 Sumitha George, Kaisheng Ma, Ahmedullah Aziz, Xueqing Li, Asif Khan, Sayeef Salahuddin, Meng-Fan Chang, Suman Datta, John Sampson, Sumeet Gupta and others, 2016, "Nonvolatile memory design based on ferroelectric FETs", pp. 118 Matthew Jerry, Wei-yu Tsai, Baihua Xie, Xueqing Li, Vijaykrishnan Narayanan, Arijit Raychowdhury and Suman Datta, 2016, "Phase transition oxide neuron for spiking neural networks", pp. 12 N Shukla, W-Y Tsai, M Jerry, M Barth, Vijaykrishnan Narayanan and Suman Datta, 2016, "Ultra low power coupled oscillator arrays for computer vision applications", pp. 12 N Shukla, Suman Datta, A Parihar, Vijaykrishnan Narayanan and A Raychowdhury, 2016, "Computing with Coupled Dynamical Systems", CNNA 2016, VDE VERLAG GmbH Kaisheng Ma*, Xueqing Li, Yongpan Liu, John Sampson, Yuan Xie and Vijaykrishnan Narayanan, 2015, "Dynamic Machine Learning Based Matching of Nonvolatile Processor Microarchitecture to Harvested Energy Profile", pp. 670675 Kevin M Irick, Peter A. Zientara*, John Sampson and Vijaykrishnan Narayanan, 2015, "Cognitive cameras: Assistive vision systems", pp. 188 Siddharth Advani*, Brigid Smith, Yasuki Tanabe, Kevin M Irick, Matthew Cotter*, John Sampson and Vijaykrishnan Narayanan, 2015, "Visual co-occurrence network: using context for large-scale object recognition in retail", pp. 110 Siddharth Advani*, Yasuki Tanabe, Kevin M Irick, John Sampson and Vijaykrishnan Narayanan, 2015, "A scalable architecture for multi-class visual object detection", pp. 18 Moon Seok Kim, William Cane-Wissing, John Sampson, Suman Datta, Vijaykrishnan Narayanan and Sumeet Gupta, 2015, "Comparing Energy, Area, Delay Tradeoffs in Going Vertical with CMO Sand Asymmetric HTFETs", pp. 303308 Ahmedullah Aziz, William Cane-Wissing, Moon Seok Kim, Suman Datta, Vijaykrishnan Narayanan and Sumeet Gupta, 2015, "Single-Ended and Differential MRAMs Based on Spin Hall Effect: A Layout-Aware Design Perspective", pp. 333338 Kaisheng Ma*, Nandhini Chandramoorthy*, Xueqing Li, Sumeet Gupta, John Sampson, Yuan Xie and Vijaykrishnan Narayanan, 2015, "Using Multiple-Input NEMS for Parallel A/D Conversion and Image Processing", pp. 339344 Fen Ge, Jia Zhan, Yuan Xie and Vijaykrishnan Narayanan, 2015, "Exploring memory controller configurations for many-core systems with 3D stacked DRAMs", pp. 565570 Mi Sun Park, Omesh Tickoo, Vijaykrishnan Narayanan, Mary Jane Irwin and Ravi Iyer, 2015, "Platform-aware dynamic configuration support for efficient text processing on heterogeneous system", pp. 15031508 Kaisheng Ma*, Yang Zheng, Shuangchen Li, Karthik Swaminathan, Xueqing Li, Yongpan Liu, John Sampson, Yuan Xie and Vijaykrishnan Narayanan, 2015, "Architecture exploration for ambient energy harvesting nonvolatile processors", IEEE, pp. 526537 Nandhini Chandramoorthy*, Giuseppe Tagliavini, Kevin M Irick, Antonio Pullini, Siddharth Advani*, Sulaiman Al Habsi, Matthew Cotter*, John Sampson, Vijaykrishnan Narayanan and Luca Benini, 2015, "Exploring architectural heterogeneity in intelligent vision systems", IEEE, pp. 112 Karthik Swaminathan, Jagadish Kotra, Huichu Liu, John Sampson, Mahmut T Kandemir and Vijaykrishnan Narayanan, 2015, "Thermal-Aware Application Scheduling on Device-Heterogeneous Embedded Architectures", IEEE Computer Society, pp. 221226 Unsuk Heo, Xueqing Li, Huichu Liu, Sumeet Gupta, Suman Datta and Vijaykrishnan Narayanan, 2015, "A High-Efficiency Switched-Capacitance HTFET Charge Pump for Low-Input-Voltage Applications", pp. 304-309 Ching-Yi Huang, Chian-Wei Liu, Chun-Yao Wang, Yung-Chih Chen, Suman Datta and Vijaykrishnan Narayanan, 2015, "A defect-aware approach for mapping reconfigurable Single-Electron Transistor arrays", pp. 118123 N Shukla, A Parihar, M Cotter, M Barth, X Li, N Chandramoorthy, DG Schlom, Vijaykrishnan Narayanan, A Raychowdhury and Suman Datta, 2014, "Pairwise coupled hybrid vanadium dioxide-MOSFET (HVFET) oscillators for non-boolean associative computing", pp. 4 Matthew Cotter, Siddharth Advani, John Sampson, Kevin M Irick and Vijaykrishnan Narayanan, 2014, "A hardware accelerated multilevel visual classifier for embedded visual-assistsystems", pp. 96100 Moon Seok Kim, Huichu Liu, Karthik Swaminathan, Xueqing Li, Suman Datta and Vijaykrishnan Narayanan, 2014, "Enabling Power-Efficient Designs with III-V Tunnel FETs", pp. 14 N. Chandramoorthy, K. Swaminathan, M. Cotter, Xueqing Li, Vijaykrishnan Narayanan, I. Palit, S. Hu and Kevin M Irick, 2014, "Understanding the landscape of accelerators for vision", pp. 1-6 Chris S. Lee, Kevin M Irick, John Sampson, Chuanjun Zhang and Vijaykrishnan Narayanan, 2014, "Exploiting natural redundancy in visual information", pp. 505508 Wei-Yu Tsai, Huichu Liu, Xueqing Li and Vijaykrishnan Narayanan, 2014, "Low-power high-speed current mode logic using Tunnel-FETs", pp. 16 Siddharth Advani, Nandhini Chandramoorthy, Karthik Swaminathan, Kevin M Irick, Yong Cheol Peter Cho, John Sampson and Vijaykrishnan Narayanan, 2014, "Refresh Enabled Video Analytics (REVA): Implications on power andperformance of DRAM supported embedded visual systems", pp. 501504 Huichu Liu, Mahsa Shoaran, Xueqing Li, Suman Datta, Alexandre Schmid and Vijaykrishnan Narayanan, 2014, "Tunnel FET-based ultra-low power, low-noise amplifier design for bio-signalacquisition", pp. 5762 Kaisheng Ma, Huichu Liu, Yang Xiao, Yang Zheng, Xueqing Li, Sumeet Gupta, Yuan Xie and Vijaykrishnan Narayanan, 2014, "Independently-Controlled-Gate FinFET 6T SRAM Cell Design for LeakageCurrent Reduction and Enhanced Read Access Speed", pp. 296301 Xueqing Li, Wei-Yu Tsai, Huichu Liu, Suman Datta and Vijaykrishnan Narayanan, 2014, "A Low-Voltage Low-Power LC Oscillator Using the Diode-ConnectedSymFET", pp. 302307 Matthew J. Cotter, Yan Fang, Steven P. Levitan, Donald M. Chiarulli and Vijaykrishnan Narayanan, 2014, "Computational Architectures Based on Coupled Oscillators", pp. 130135 Karthik Swaminathan, Huichu Liu, John Sampson and Vijaykrishnan Narayanan, 2014, "An examination of the architecture and system-level tradeoffs of employingsteep slope devices in 3D CMPs", pp. 241252 Karthik Swaminathan, Huichu Liu, Xueqing Li, Moon Seok Kim, John Sampson and Vijaykrishnan Narayanan, 2014, "Steep Slope Devices: Enabling New Architectural Paradigms", pp. 16 Xueqing Li, U.D. Heo, Kaisheng Ma, Vijaykrishnan Narayanan, Huichu Liu and Suman Datta, 2014, "Rf-powered systems using steep-slope devices", pp. 73-76 Yang Xiao, Kevin M Irick, John Sampson, Vijaykrishnan Narayanan and Chuanjun Zhang, 2014, "A task-oriented vision system", pp. 181186 Karthik Swaminathan, Moon Seok Kim, Nandhini Chandramoorthy, Behnam Sedighi, Robert Perricone, John Sampson and Vijaykrishnan Narayanan, 2014, "Modeling steep slope devices: From circuits to architectures", pp. 16 Vijaykrishnan Narayanan, Suman Datta, Gert Cauwenberghs, Donald M. Chiarulli, Steven P. Levitan and Philip Wong, 2014, "Video analytics using beyond CMOS devices", pp. 15 Chian-Wei Liu, Chang-En Chiang, Ching-Yi Huang, Chun-Yao Wang, Yung-Chih Chen, Suman Datta and Vijaykrishnan Narayanan, 2014, "Width minimization in the Single-Electron Transistor array synthesis", pp. 14 Michael Barth, Huichu L Liu, Ze Yuan, Archana Kumar, Hap Hughes, Patrick J McMarr, Jeffrey Warner, J Brad Boos, Dale McMorrow, Brian R Bennett and Vijaykrishnan Narayanan, 2014, "Total-Ionizing Dose Mechanisms in Antimony based CMOS Transistors with High-k Dielectric", pp. 4 R. Bijesh, H. Liu, H. Madan, W. Li, N. V. Nguyen, D. Gundlach, C. Richter, J. Maier, K. Wang, T. Clarke, M. Fastenau, D. Loubychev, W. K. Liu, Vijaykrishnan Narayanan and S. Datta, 2013, "Demonstration of In 0.9Ga0.1As/GaAs0.18Sb0.82 Near Broken-gap Tunnel FET with ION=740A/m,GM=700S/m and Gigahertz Switching Performance at VDS=0.5V", 2013 IEEE International Electron Devices Meeting (IEDM 2013), pp. 28.2.1-28.2.4 M. Eze, O. Ozturk and Vijaykrishnan Narayanan, 2013, "Staggered Latch Bus: A Reliable Offset Switched Architecture for Long On-chip Interconnect", Proceedings of the Twenty-First IEEE/IFIP International Conference on VLSI and System-on-Chip (VLSI-SoC 2013), pp. 296-301 Y. Xiao, C. Zhang, K. Irick and Vijaykrishnan Narayanan, 2013, "Dynamic Bandwidth Adaption Using Recognition Accuracy Prediction Through Pre-classification for Embedded Vision Systems", Proceedings of the Thirty-First IEEE International Conference on Computer Design (ICCD 2013), pp. 20-25 S. Datta, R. Bijesh, H. Liu, D. Mohata and Vijaykrishnan Narayanan, 2013, "Tunnel Transistors for Low Power Logic", Proceedings of the IEEE Compound Semiconductor IC Symposium (CSICS 2013), pp. 4 H. Liu, R. Vaddi, S. Datta and Vijaykrishnan Narayanan, 2013, "Tunnel FET-based Ultra-low Power, High-sensitivity UHF RFID Rectifier", Proceedings of the International Symposium on Low Power Electronics Design (ISLPED 2013), pp. 157-162 H. Liu, S. Datta and Vijaykrishnan Narayanan, 2013, "Steep Switching Tunnel FET: A Promise to Extend the Energy Efficient Roadmap for Post-CMOS Digital and Analog/RF Applications", Proceedings of the International Symposium on Low Power Electronics Design (ISLPED 2013), pp. 145-150 S. Park, A. Al-Maashri, Y. Xiao, K. Irick and Vijaykrishnan Narayanan, 2013, "Saliency-driven Dymnamic Configuration of HMAX for Energy-efficient Multi-object Recognition", Proceedings of the IEE Computer Society Annual Symposium on VLSI (ISVLSI 2013), pp. 139-144 J. Zhan, N. Stoimenov, J. Ouyang, L. Thiele, Vijaykrishnan Narayanan and Y. Xie, 2013, "Designing Energy-efficient NoC for Real-time Embedded Systems through Slack Optimization", Proceedings of the Fiftieth Design Automation Conference (DAC 2013), pp. 6 M. S. Park, C. Zhang, M. DeBole, S. Kestur, Vijaykrishnan Narayanan and M. J. Irwin, 2013, "Accelerators for Biologically-inspired Attention and Recognition", Proceedings of the Fiftieth Design Automation Conference (DAC 2013), pp. 6 S. Advani, J. Susterick, K. Irick and Vijaykrishnan Narayanan, 2013, "A Multi-Resolution Saliency Framework to Drive Foveation", pp. 2596-2600 C. Zhang, G. Ko, J. Choi, S.-N. Tsai, M. Kim, A. Guzmn-Rivera, R. A. Rutenbar, P. Smaragdis, M. Park, Vijaykrishnan Narayanan, H. Xin, O. Mutlu, B. Li, L. Zhao and M. Chen, 2013, "EMERALD: Characterization of Emerging Applications and Algorithms for Low-power Devices", Proceedings of the IEEE International Symposium on Performance Analysis of Systems & Software (ISPASS 2013), pp. 122-123 N. Chandramoorthy, S. Advani, K. Irick and Vijaykrishnan Narayanan, 2013, "A Configurable Architecture for a Visual Saliency System and its Application in Retail", pp. p. 233 S. Datta, R. Bijesh, H. Liu, D. Mohata and Vijaykrishnan Narayanan, 2013, "Tunnel Transistors for Energy Efficient Computing", Proceedings of IEEE International Reliability Physics Symposium (IRPS 2013), pp. 6A.3.1-6A.3.7 Y. Xiao, K. Irick, Vijaykrishnan Narayanan, D. Shin and N. Chang, 2013, "Saliency Aware Display Power Management", Proceedings of the 2013 IEEE Design Automation and Test in Europe (DATE 2013), pp. 1203-1208 M. Cotter, H. Liu, S. Datta and Vijaykrishnan Narayanan, 2013, "Evaluation of Tunnel FET-based Flip-flop Designs for Low Power, High Performance Applications", Proceedings of the International Symposium on Quality Electronic Design (ISQED 2013), pp. 430-437 H. Liu, M. Cotter, Vijaykrishnan Narayanan and S. Datta, 2013, "Evaluation Soft Error Rate Immunity in Emerging Devices", Proceedings of the Thirty-Eighth Annual Government Microcircuit Applications & Critical Technology Conference (GOMACTech 2013) Y.-Y. Chang, C.-Y. Huang, M. Poremba, Vijaykrishnan Narayanan, Y. Xie and C.-T. King, 2013, "TS-Router: On Maximizing the Quality-of-Allocation in the On-Chip Network", Proceedings of the Nineteenth IEEE International Symposium on High Performance Computer Architecture (HPCA 2013), pp. 390-399 C.-E. Chiang, L.-F. Tang, C.-Y. Wang, C.-Y. Huang, Y.-C. Chen, S. Datta and Vijaykrishnan Narayanan, 2013, "On Reconfigurable Single-Electron Transistor Arrays Synthesis Using Reordering Techniques", Proceedings of the 2013 IEEE Design Automation and Test in Europe (DATE 2013), pp. 1807-1812 J. Henkel, Vijaykrishnan Narayanan, S. Parameswaran and J. Teich, 2013, "Run-time Adaption for Highly-complex Multi-core Systems", Proceedings of the Eleventh International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS 2013), pp. 8 Y.-Y. Chang, C.-Y. Huang, Vijaykrishnan Narayanan and C.-T. King, 2013, "ShieldUS: A Novel Design of Dynamic Shielding for Eliminating 3D TSV Crosstalk Coupling Noise", Proceedings of the Eighteenth Asia and South Pacific Design Automation Conference (ASP-DAC 2013), pp. 675-680 H. Liu*, M. Cotter*, S. Datta and Vijaykrishnan Narayanan, 2012, "Technology Assessment of Si and III-V FinFETs and III-V Tunnel FETs From Soft Error Rate Perspective", Proceedings of the IEEE International Electron Devices Meeting (IEDM 2012), pp. 577-580 Y. Cho*, N. Chandramoorthy*, K. Irick and Vijaykrishnan Narayanan, 2012, "Multiresolution Gabor Feature Extraction for Real Time Applications", Proceedings of the 2012 IEEE Workshop on Signal Process Systems (SIPS 2012), pp. 55-60 E. Kultursay, K. Swaminathan*, V. Saripalli*, Vijaykrishnan Narayanan, M. Kandemir and S. Datta, 2012, "Performance Enhancement Under Power Constraints Using Heterogeneous CMOS-TFET Multicores", Proceedings of the Tenth International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS 2012), pp. 245-254 R. Munkundrajan*, M. Cotter*, V. Saripalli*, M. J. Irwin, S. Datta and Vijaykrishnan Narayanan, 2012, "Ultra Low Power Circuit Design Using Tunnel FETs", Proceedings of the IEE Computer Society Annual Symposium on VLSI (ISVLSI 2012), pp. 153-158 A. Al-Maashri*, M. DeBole, M. Cotter*, N. Chandramoorthy*, Y. Xiao, Vijaykrishnan Narayanan and C. Chakrabarti, 2012, "Accelerating Neuromorphic Vision Algorithms for Recognition", Proceedings of the Forty-Ninth Annual Design Automation Conference (DAC 2012), pp. 579-584 A. Jog, A. Mishra, C. Xu, Vijaykrishnan Narayanan, Y. Xie, R. Iyer and C. R. Das, 2012, "Cache Revive: Architecting Volatile STT-RAM Caches for Enhanced Performance in CMPs", Proceedings of the Forty-Ninth Annual Design Automation Conference (DAC 2012), pp. 243-252 H. Liu*, D. Mohata, A. Nidhi, V. Saripalli*, Vijaykrishnan Narayanan and S. Datta, 2012, "Exploration of Vertical MOSFET and Tunnel FET Device Architecture for Sub 10nm Node Applications", Proceedings of the Seventieth Annual Device Research Conference (DRC 2012), pp. 233-234 N. Agrawal, V. Saripalli*, Vijaykrishnan Narayanan, Y. Kumura, R. Arghavani and S. Datta, 2012, "Will Strong Quantum Confinement Effect Limit Low VCC Logic Application of III-V FinFETs", Proceedings of the Seventieth Annual Device Research Conference (DRC 2012), pp. 231-232 D. Mohata, R. Bijesh, Y. Zhu, M. K. Hudait, R. Southwick, Z. Chbili, D. Gundlach, J. Suehle, J. M. Fastneau, D. Loubychev, A. K. Liu, T. S. Mayer, Vijaykrishnan Narayanan and S. Datta, 2012, "Demonstration of Improved Heteroepitaxy, Scaled Gate Stack and Reduced Interface States Enabling Heterojunction Tunnel FETs with Hihg Drive Current and High On-Off Ratio", Proceedings of the IEEE Symposia on VLSI Technology and Circuits, pp. 53-54 J. Xie*, Vijaykrishnan Narayanan and Y. Xie, 2012, "Mitigating Electromigration of Power Supply Networks using Bidirectional Current Stress", Proceedings of the Great Lakes Symposium on VLSI (VLSI 2012), pp. 299-32 S.-M. Park*, S. Kestur*, J. Sabarad*, Vijaykrishnan Narayanan and M. J. Irwin, 2012, "An FPGA-based Accelerator for Cortical Object Classification", Proceedings of the Design, Automation & Test in Europe Conference & Exhibition (DATE 2012), pp. 691-696 P. Singh, Vijaykrishnan Narayanan and D. Landis, 2012, "Hazard Driven Test Generation for SMT Processors", Proceedings of the Design, Automation & Test in Europe Conference & Exhibition (DATE 2012), pp. 256-259 J. Sabarad*, S. Kestur*, S.-M. Park*, D. Dantara*, Vijaykrishnan Narayanan, Y. Chen and D. Khosla, 2012, "A Reconfigurable Accelerator for Neuromorphic Object Recognition", Proceedings of the Seventeenth Asia and South Pacific Design Automation Conference (ASP-DAC 2012), pp. 813-818 K. Swaminathan*, R. Pisolkar, C. Xu and Vijaykrishnan Narayanan, 2012, "When to Forget: A System-level Perspective on STT-RAMs", Proceedings of the Seventeenth Asia and South Pacific Design Automation Conference (ASP-DAC 2012), pp. 311-316 S. Park*, Y. Cho*, K. Irick and Vijaykrishnan Narayanan, 2012, "A Reconfigurable Platform for the Design and Verification of Domain-specific Accelerators", Proceedings of the Seventeenth Asia and South Pacific Design Automation Conference (ASP-DAC 2012), pp. 108-113 S. Kestur*, S.-M. Park*, J. Sabarad*, D. Dantara*, Vijaykrishnan Narayanan, Y. Chen and D. Khosla, 2012, "Emulating Mammalian Vision on Reconfigurable Hardware", Proceedings of the IEEE Twentieth Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM 2012), pp. 141-148 K. Swaminathan*, E. Kultursay, V. Saripalli*, Vijaykrishnan Narayanan and M. Kandemir, 2012, "Design Space Evaluation of Workload-specified Last Level Caches", Proceedings of the International Symposium on Low Power Electronics Design (ISLPED 2012), pp. 243-248 L. Liu, V. Saripalli, Vijaykrishnan Narayanan and S. Datta, 2011, "Device Circuit Co-Design Using Classical and Non-Classical III-V Multi-Gate Quantum-Well FETs (MuQFETs)", Proceedings of the 2011 IEEE International Electron Devices Meeting (IEDM) D. K. Mohata, R. Bijesh, S. Mujumdar, C. Eaton, R. Engel-Herbert, T. Mayer, Vijaykrishnan Narayanan, J. Fastenau, D. Loubychev, A. Liu and S. Datta, 2011, "Demonstration of MOSFET-Like On-Current Performance in Arsenide/ Antimonide Tunnel FETs with Staggered Hetero-junctions for 300mV Logic Applications", Proceedings of the 2011 IEEE International Electron Devices Meeting (IEDM), pp. 4 M. DeBole, A. Al Maashri, M. Cotter, C.-L. Yu, C. Chakrabarti and Vijaykrishnan Narayanan, 2011, "A Framework for Accelerating Neuromorphic-Vision Algorithms on FPGAs", Proceedings of the International Conference on Computer-Aided Design (ICCAD 2011), pp. 810-813 M. DeBole, C.-L. Yu, A. Al Maashri, M. Cotter, C. Chakrabarti and Vijaykrishnan Narayanan, 2011, "FPGA-Accelerator System for Computing Biologically-Inspired Feature Extraction Models", Proceedings of the Asilomar Conference on Signals, Systems, and Computers, pp. 751-755 A. Al Maashri, M. DeBole, C.-L. Yu, Vijaykrishnan Narayanan and C. Chakrabarti, 2011, "A Hardware Architecture for Accelerating Neuromorphic Vision Algorithms", Proceedings of the IEEE Workshop on Signal Processing Systems (SiPS 2011), pp. 355-360 Y. Cho, S. Bae, Y. Jin, K. Irick and Vijaykrishnan Narayanan, 2011, "Exploring Gabor Filter Implementations for Visual Cortex Modeling on FPGA", Proceedings of the Twenty-First International Conference on Field Programmable Logic and Applications (FPL 2011), pp. 311-316 K. Swaminathan, E. Kultursay, V. Saripalli, Vijaykrishnan Narayanan, M. Kandemir and S. Datta, 2011, "Improving Energy Efficiency of Multi-Threaded Applications using Heterogeneous CMOS-TFET Mutlicores", Proceedings of the International Symposium on Low Power Electronics and Design (ISLPED 2011), pp. 247-252 K. Swaminathan, R. Mukundrajan, N. Soundararajan and Vijaykrishnan Narayanan, 2011, "Towards Resilient Micro-architectures: Datapath Reliability Enhancement using STT-MRAM", Proceedings of the IEEE Computer Society Annual Symposium on VLSI 2011 (ISVLSI 2011), pp. 236-241 H.-W. Chen, S. Srinivasan, Y. Xie and Vijaykrishnan Narayanan, 2011, "Impact of Circuit Degradation on FPGA Design Security", Proceedings of the IEEE Computer Society Annual Symposium on VLSI 2011 (ISVLSI 2011), pp. 230-235 Vijaykrishnan Narayanan, S. Park, S. Kestur and K. Irick, 2011, "Accelerating Neuromorphic Vision on FPGAs", Proceedings of the Embedded Computer Vision Workshop, in conjunction with CVPR 2011, pp. 103-108 V. Saripalli, J. Kulkarni, S. Datta and Vijaykrishnan Narayanan, 2011, "Variation-Tolerant Ultra Low-Power Heterojunction Tunnel FET SRAM Design", Proceedings of the IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH 2011), pp. 45-52 Y.-C. Chen, S. Eachempati, C.-Y. Wang, S. Datta, Y. Xie and Vijaykrishnan Narayanan, 2011, "Automated Mapping for Reconfigurable Single Electron Transistor Arrays", Proceedings of the Forty-Eighth Design Automation Conference (DAC 2011), pp. 878-883 V. Saripalli, A. Mishra, S. Datta and Vijaykrishnan Narayanan, 2011, "An Energy-Efficient Heterogeneous CMP Based on Hybrid TFET-CMOS Cores", Proceedings of the Forty-Eighth Design Automation Conference (DAC 2011), pp. 729-734 S. Kestur, K. Irick, S. Park, A. Al-Maashri, Vijaykrishnan Narayanan and C. Chakrabarti, 2011, "An Algorithm-architecture Co-design Framework for Gridding Reconstruction Using FPGAs", Proceedings of the Forty-Eighth Design Automation Conference (DAC 2011), pp. 585-590 A. Mishra, Vijaykrishnan Narayanan and C. R. Das, 2011, "A Case for Heterogeneous On-Chip Interconnects for CMPs", Proceedings of the Thirty-Eighth International Symposium on Computer Architecture (ISCA 2011), pp. 389-400 A. Mishra, X. Dong, G. Sun, Y. Xie, Vijaykrishnan Narayanan and C. R. Das, 2011, "Architecting On-chip Interconnects for Stacked 3D STT-RAM Caches in CMPs", Proceedings of the Thirty-Eighth International Symposium on Computer Architecture (ISCA 2011), pp. 69-80 L. Liu, V. Saripalli, Vijaykrishnan Narayanan and S. Datta, 2011, "Experimental Investigation of Scalability and Transport in In0:7Ga0:3As Multi-Gate Quantum Well FET (MuQFET)", Proceedings of the Sixty-Ninth Annual Device Research Conference (DRC 2011), pp. 17-18 S. Bae, Y. Cho, S. Park, K. Irick, Y. Jin and Vijaykrishnan Narayanan, 2011, "An FPGA Implementation of Information Theoretic Visual-Saliency System and Its Optimization", Proceedings of the Nineteenth Annual International IEEE Symposium on Field-Programmable Custom Computing Machines (FCCM 2011), pp. 41-48 Vijaykrishnan Narayanan, V. Saripalli, R. Mukundrajan, G. Sun, K. Swaminathan, Y. Xie and S. Datta, 2011, "Enabling Architectural Innovations using Non-Volatile Memory", Proceedings of the Twenty-First ACM Great Lakes Symposium on VLSI (GLSVLSI 2011), pp. 439-444 S. Kestur, D. Dantara and Vijaykrishnan Narayanan, 2011, "SHARC: A Streaming Model for FPGA Accelerators and its Application to Saliency", Proceedings of the Design, Automation & Test in Europe (DATE 2011), pp. 1237-1242 S. Kestur, D. Dantara and Vijaykrishnan Narayanan, 2011, "A Streaming FPGA Implementation of a Steerable Filter for Real-time Applications", Proceedings of the Nineteenth ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA 2011), pp. p. 281 S. M. Bae and N. Vijaykrishnan, 2010, "Thermal Gradient Aware Clock Skew Scheduling for FPGAs", Proceedings of the Twentieth International Conference on Field Programmable Logic and Applications (FPL 2010), pp. 101-106 V. Sampath Kumar, K. Irick, A. Al Maashri and N. Vijaykrishnan, 2010, "A Scalable Bandwidth Aware Architecture for Connected Component Labeling", Proceedings of the IEEE Computer Society Annual Symposium on VLSI (ISVLSI 2010), pp. 116-121 N. Vijaykrishnan, A. Al Mashri, K. Irick, M. DeBole and S. Park, 2010, "AutoFLEX: A Framework for Image Processing Applications on Multi-FPGA Systems", Proceedings of the International Conference on Engineering of Reconfigurable Systems and Algorithms (ERSA 2010), pp. 59-66 N. Soundararajan, A. Sivasubramaniam and N. Vijaykrishnan, 2010, "Characterizing Soft-error Vulnerability of Mulicores Running Multi-threaded Applications", Proceedings of the ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS 2010), pp. 379-380 V. Saripalli, D. K. Mohata, S. Mookerjea, S. Datta and N. Vijaykrishnan, 2010, "Low Power Loadless 4T SRAM Cell Based on Degenerately Doped Source (DDS) In_0.53 GA_0.47 as Tunnel FETs", Proceedings of the IEEE Device Research Conference (DRS 2010), pp. 101-102 S. Datta, A. Ali, S. Mookerjea, V. Saripalli, L. Liu, S. Eachempati, T. Mayer and N. Vijaykrishnan, 2010, "Non-silicon Logic Elements on Silicon for Extreme Voltage Scaling", Proceedings of the Silicon Nanoelectronics Workshop (SNW), pp. 15-16 S. Kestur, S. Park, K. Irick and N. Vijaykrishnan, 2010, "Accelerating the Nonuniform Fast Fourier Transform Using FPGAs", Proceedings of the Eighteenth IEEE Annual International Symposium on Field-Programmable Custom Computing Machines (FCCM 2010), pp. 19-26 A. Ricketts, N. Vijaykrishnan, J. Singh and D. Pradhan, 2010, "Investigating the Impact of NBTI on Different Power Saving Cache Strategies", Proceedings of the Design, Automation & Test in Europe (DATE 2010), pp. 592-597 A. Rathi, M. DeBole, W. Ge, R. Collins and Vijaykrishnan Narayanan, 2010, "A GPU Based Implementation of Center-Surround Distribution Distance for Feature Extraction and Matching", Proceedings of the Design, Automation & Test in Europe (DATE 2010), pp. 172-177 C.-L. Yu, C. Chakrabarti, S. Park and N. Vijaykrishnan, 2010, "Bandwidth-intensive FPGA Architecture for Multi-dimensional DFT", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2010), pp. 1486-1489 V. Saripalli, N. Vijaykrishnan and S. Datta, 2010, "Analyzing Energy-Delay Behavior in Room Temperature Single Electron Transistors", Proceedings of the Twenty-Third International Conference on VLSI Design (VLSI Design 2010), pp. 399-404 A. Yanamandra, S. Eachempati, N. Soundararajan, N. Vijaykrishnan, M. J. Irwin and R. Krishnan, 2010, "Optimizing Power and Performance for Reliable On-Chip Networks", Proceedings of the Fifteenth Asia and South Pacific Design Automation Conference (ASP-DAC 2010), pp. 431-436 J. Singh, R. Krishnan, S. Mookerjea, S. Datta and N. Vijaykrishnan, 2010, "A Novel Si-Tunnel FET based SRAM Design for Ultra Low-Power 0.3V VDD Applications", Proceedings of the Fifteenth Asia and South Pacific Design Automation Conference (ASP-DAC 2010), pp. 181-186 S. Mookerjea, D. Mohata, R. Krishnan, J. Singh, A. Vallett, A. Ali, T. Mayer, N. Vijaykrishnan, D. Schlom, A. Liu and S. Datta, 2009, "Experimental Demonstration of 100nm Channel Length In0.53Ga0.47As-based Vertical Inter-band Tunnel Field Effect Transistors (TFETs) for Ultra Low-Power Logic and SRAM Applications", Proceedings of the IEEE International Electron Devices Meeting (IEDM 2009) A. Mishra, R. Das, S. Eachempati, N. Vijaykrishnan and C. R. Das, 2009, "A Case for Dynamic Frequency Tuning in On-Chip Networks", Proceedings of the Forty-Second International Symposium on Microarchitecture (MICRO-42), pp. 292-303 V. Saripalli, N. Vijaykrishnan and S. Datta, 2009, "Ultra Low Energy Binary Decision Diagram Circuits using Few Electron Transistors", Proceedings of the Workshop on Nano-Bio Sensing Paradigms and Applications, in conjunction with Nano-Net 2009, pp. 200-209 A. Al'Maashri, G. Sun, X. Dong, N. Vijaykrishnan and Y. Xie, 2009, "3D GPU Architecture using Cache Stacking: Performance, Cost, Power, and Thermal Analysis", Proceedings of the International Conference on Computer Design (ICCD 2009), pp. 254-259 J. S. Kim, C.-L. Yu, L. Deng, S. Kestur, Vijaykrishnan Narayanan and C. Chakrabarti, 2009, "FPGA Architecture for 2D Fast Fourier Transform Based on 2D Decomposition for Large-Sized Data", Proceedings of the IEEE Workshop on Signal Processing Systems (SiPS 2009), pp. 121-126 K. Irick, M. DeBole, S. Park and N. Vijaykrishnan, 2009, "A Scalable Multi-FPGA Framework for Real-time Digital Signal Processing", Proceedings of SPIE Optics+Photonics Conference, pp. 6 S. Datta and N. Vijaykrishnan, 2009, "Green Transistors to Green Architectures", Proceedings of the 2009 International Symposium on Low Power Electronics and Design (ISLPED 2009), pp. 429-430 Y. Xie, S. Eachempati, A. Yanamandra, N. Vijaykrishnan and M. J. Irwin, 2009, "Power and Area Reduction using Carbon Nanotube Bundle Interconnect in Global Clock Tree Distribution Network", Proceedings of the IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH 2009), pp. 51-56 S. Bae, R. Krishnan and N. Vijaykrishnan, 2009, "A Novel Low Area Overhead Body Bias FPGA Architecture for Low Power Applications", Proceedings of the IEEE Computer Society Annual Symposium on VLSI (ISVLSI 2009), pp. 193-198 P. Mangalagiri and N. Vijaykrishnan, 2009, "Lifetime Reliability Aware Design Flow Techniques for Dual-Vdd Based Platform FPGAs", Proceedings of the IEEE Computer Society Annual Symposium on VLSI (ISVLSI 2009), pp. 61-66 S. Bae, P. Mangalagiri and N. Vijaykrishnan, 2009, "Exploiting Clock Skew Scheduling for FPGA", Proceedings of the Design Automation & Test in Europe (DATE 2009), pp. 1524-1529 R. Das, S. Eachempati, A. K. Mishra, N. Vijaykrishnan and C. R. Das, 2009, "Design and Evaluation of a Hierarchical On-Chip Interconnect for Next-Generation CMPs", Proceedings of the Fifteenth International Symposium on High-Performance Computer Architecture (HPCA-15), pp. 175-186 A. Yanamandra, M. J. Irwin, N. Vijaykrishnan, M. Kandemir and S. H. K. Narayanan, 2009, "In-Network Caching for Chip Multiprocessors", Springer-Verlag LNCS, 5409, pp. 373-388 S. Sridharan, M. DeBole, G. Sun, Y. Xie and N. Vijaykrishnan, 2009, "A Criticality-Driven Microarchitectural Three Dimensional (3D) Floorplanner", Proceedings of the Fourteenth Asia and South Pacific Design Automation Conference (ASP-DAC 2009), pp. 763-768 M. DeBole, R. Krishnan, V. Balakrishnan, W. Wang, L. Hong, Y. Wang, Y. Xie, Y. Cao and N. Vijaykrishnan, 2009, "A Framework for Estimating NBTI Degradation of Microarchitectural Components", Proceedings of the Fourteenth Asia and South Pacific Design Automation Conference (ASP-DAC 2009), pp. 455-460 J. Henkel, N. Vijaykrishnan, S. Parameswaran and R. Ragel, 2009, "Security and Dependability of Embedded Systems: A Computer Architects' Perspective", Proceedings of the Twenty-Second International Conference on VLSI Design (VLSI Design 2009), pp. 30-32 P. Mangalagiri, S. Bae, R. Krishnan, N. Vijaykrishnan, Y. Xie and T. Tuan, 2008, "Thermal-Aware Reliability Analysis for Platform FPGAs", Proceedings of the International Conference on Computer Aided Design (ICCAD 2008), pp. 722-727 K. Ramakrishnan, N. Vijaykrishnan and Y. Xie, 2008, "Comparative Analysis of NBTI Effects on Low Power and High Performance Flip-Flops", Proceedings of the XXVI International Conference on Computer Design (ICCD 2008), pp. 200-205 L. Deng, C.-L. Yu, C. Chakrabarti, J. Kim and N. Vijaykrishnan, 2008, "Efficient Image Reconstruction Using Partial 2D Fourier Transform", Proceedings of the 2008 IEEE Workshop on Signal Processing Systems (SIPS 2008), pp. 49-54 N. Soundararajan, N. Vijaykrishnan and A. Sivasubramaniam, 2008, "Impact of DVFS on the Architectural Vulnerability of GALS Architctures", Proceedings of the International Symposium on Low Power Electronics and Design (ISLPED 2008), pp. 351-356 N. Soundararajan, A. Yanamandra, C. Nicopoulos, N. Vijaykrishnan, A. Sivasubramaniam and M. J. Irwin, 2008, "Analysis and Solutions to Issue Queue Process Variation", Proceedings of the Thirty-Eighth Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2008), pp. 11-21 D. Park, S. Eachempati, R. Das, A. K. Mishra, N. Vijaykrishnan, Y. Xie and C. R. Das, 2008, "MIRA: A Multi-Layered On-Chip Interconnect Router Architecture", Proceedings of the International Symposium on Computer Architecture (ISCA 2008), pp. 251-261 S. Eachempati, V. Saripalli, N. Vijaykrishnan and S. Datta, 2008, "Reconfigurable BDD Based Quantum Circuits", Proceedings of the IEEE/ACM International Symposium on Nanoscale Architectures (NanoArch 2008), pp. 61-67 P. Mangalagiri, K. Sarpatwari, A. Yanamandra, N. Vijaykrishnan, Y. Xie, M. J. Irwin and O. A. Karim, 2008, "A low-power Phase Change Memory Based Hybrid Cache Architecture", Proceedings of the ACM Great Lakes Symposium on VLSI (GLSVLSI 2008), pp. 395-398 K. Irick, N. Vijaykrishnan, M. DeBole and A. Gayasen, 2008, "A Hardware Efficient Support Vector Machine Architecture for FPGA", Proceedings of the Annual IEEE Symposium on Field-Programmable Custom Computing Machines (FCCM 2008), pp. 304-305 R. Krishnan, R. Ramanarayanan, N. Vijaykrishnan, Y. Xie, M. J. Irwin and K. Unlu, 2008, "Hierarchical Soft Error Estimation Tool (HSEET)", Proceedings of the Ninth International Symposium on Quality Electronic Design (ISQED 2008), pp. 680-683 R. Das, A. K. Mishra, C. Nicopoulos, D. Park, N. Vijaykrishnan, R. Iyer and C. R. Das, 2008, "Performance and Power Optimization through Data Compression in Network-on-Chip Architectures", Proceedings of the Fourteenth International Symposium on High Performance Computer Architecture (HPCA 2008), pp. 215-225 D. Atienza, G. De Micheli, L. Benini, J. L. Ayala, P. G. Del Valle, M. DeBole and N. Vijaykrishnan, 2008, "Reliability-Aware Design for Nanometer-Scale Devices", Proceedings of the Thirteenth IEEE/ACM Asia and South Pacific Design Automation Conference (ASP-DAC 2008), pp. 549-554 J. Kim, P. Mangalagiri, K. Irick, N. Vijaykrishnan, M. Kandemir, K. Sobti, L. Deng, C. Chakrabarti, N. Pitsianis and X. Sun, 2007, "TANOR: A Tool for Accelerating N-Body Simulations on Reconfigurable Platform", Proceedings of the Seventeenth International Conference on Field Programmable Logic and Applications (FPL 2007), pp. 6 K. Irick, M. DeBole, N. Vijaykrishnan, R. Sharma, H. Moon and S. Mummareddy, 2007, "Unified Streaming Architecture for Real Time Face Detection and Gender Classification", Proceedings of the Seventeenth International Conference on Field Programmable Logic and Applications (FPL 2007) D. Park, R. Das, C. Nicopoulos, J. Kim, N. Vijaykrishnan, R. Iyer and C. R. Das, 2007, "Design of a Dynamic Priority-Based Fast Path Architecture for On-Chip Interconnects", Proceedings of the Fifteenth Annual IEEE Symposium on High-Performance Interconnects (HOTI 2007), pp. 15-20 J. Kim, C. Nicopoulos, D. Park, R. Das, Y. Xie, N. Vijaykrishnan and C. R. Das, 2007, "A Novel Dimensionally-Decomposed Router for On-Chip Communication in 3D Architectures", Proceedings of the Thirty-Fourth Annual International Symposium on Computer Architecture (ISCA 2007), pp. 138-149 M. Mutyam and N. Vijaykrishnan, 2007, "Working with Process Variation Aware Caches", Proceedings of the Design, Automation and Test in Europe (DATE'07), pp. 1152-1157 M. Mondal, A. Ricketts, S. Kirolos, T. Ragheb, G. Link, N. Vijaykrishnan and Y. Massoud, 2007, "Thermally Robust Clocking Schemes for 3D Integrated Circuits", Proceedings of the Design, Automation and Test in Europe (DATE'07), pp. 1206-1211 S. Eachempati, A. Nieuwoudt, A. Gayasen, Y. Massoud and N. Vijaykrishnan, 2007, "Assessing Carbon Nanotube Bundle Interconnect for Future FPGA Architectures", Proceedings of the Design, Automation and Test in Europe (DATE'07), pp. 307-312 R. Krishnan, R. Ramanarayanan, S. Srinivasan, N. Vijaykrishnan, Y. Xie and M. J. Irwin, 2007, "Variation Impact on SER of Combinational Circuits", Proceedings of the International Society for Quality Electronic Design (ISQED 2007), pp. 911-916 A. Mupid, M. Mutyam, N. Vijaykrishnan, Y. Xie and M. J. Irwin, 2007, "Variation Analysis of CAM Cells", Proceedings of the Eighth International Symposium on Quality Electronic Design (ISQED 2007), pp. 333-338 M. Mondal, A. Ricketts, S. Kirolos, T. Ragheb, G. Link, N. Vijaykrishnan and Y. Massoud, 2007, "Mitigating Thermal Effects on Clock Skew with Dynamically Adaptive Drivers", Proceedings of the International Society for Quality Electronic Design (ISQED 2007), pp. 67-72 B. Vaidyanathan, W. Hung, F. Wang, Y. Xie, N. Vijaykrishnan and M. J. Irwin, 2007, "Architecting Microprocessor Components in 3D Design Space", Proceedings of the Twentieth International Conference on VLSI Design, pp. 103-108 K. Ramakrishnan, R. S. Srinivasan, N. Vijaykrishnan and Y. Xie, 2007, "Impact of NBTI on FPGAs", Proceedings of the International Conference on VLSI Design, pp. 717-722 G. Chen, M. Kandemir, N. Vijaykrishnan and M. J. Irwin, 2006, "Object Duplication for Improving Reliability", Proceedings of the Eleventh Asia and South Pacific Design Automation Conference (ASP-DAC 2006), pp. 140-145 T. Richardson, C. Nicopoulos, N. Vijaykrishnan, D. Park, Y. Xie and C. R. Das, 2006, "A Hybrid SoC Interconnect with Dynamic TDMA-Based Transaction-Less Buses and On-Chip Networks", Proceedings of IEEE International Conference on VLSI Design, pp. 657-664 R. Ramanarayanan, J. S. Kim, N. Vijaykrishnan, Y. Xie and M. J. Irwin, 2006, "SEAT-LA: A Soft Error Analysis tool for Combinational Logic", Proceedings of Nineteenth International Conference on VLSI Design, pp. 499-502 I. Lin, S. Srinivasan, Vijaykrishnan Narayanan and N. Dhanwada, 2006, "Transaction Level Error Susceptibility Model for SoC Bus Based SoC Architectures", Proceedings of the Seventh International Symposium on Quality Electronic Design (ISQED 2006), pp. 775-780 G. Link and N. Vijaykrishnan, 2006, "Thermal Trends in Emerging Technologies", Proceedings of the Seventh International Symposium on Quality Electronic Design (ISQED 2006), pp. 625-632 F. Wang, Y. Xie, N. Vijaykrishnan and M. J. Irwin, 2006, "On-chip Bus Thermal Analysis and Optimization", Proceedings of the Design, Automation and Test in Europe Conference (DATE 2006), pp. 850-855 A. J. Ricketts, K. Irick, N. Vijaykrishnan and M. J. Irwin, 2006, "Priority Scheduling in Digital Microfluidics-Based Biochips", Proceedings of the Design, Automation and Test in Europe Conference (DATE 2006), pp. 329-334 T. Theocharides, Vijaykrishnan Narayanan and M. J. Irwin, 2006, "A Parallel Architecture for Hardware Face Detection", Proceedings of the IEEE Computer Society Annual Symposium on VLSI Design (ISVLSI 2006), pp. 452-454 M. Mutyam, M. Eze, N. Vijaykrishnan and Y. Xie, 2006, "Delay and Energy Efficient Data Transmission for On-Chip Buses", Proceedings of the IEEE Computer Society Annual Symposium on VLSI Design (ISVLSI 2006), pp. 355-360 S. Srinivasan and N. Vijaykrishnan, 2006, "Variation Aware Placement Scheme for FPGAs", Proceedings of the IEEE Computer Society Annual Symposium on VLSI (ISVLSI 2006), pp. 422-424 J. Kim, C. A. Nicopoulos, D. Park, N. Vijaykrishnan and C. R. Das, 2006, "Performance Enhancement through Early Release and Buffer Optimization in Network-on-Chip Router Architectures", Special Workshop on Future Interconnects and Networks on Chip, in conjunction with the Design, Automation and Test in Europe (DATE 06) J. Kim, C. A. Nicopoulos, D. Park, N. Vijaykrishnan and C. R. Das, 2006, "A Gracefully Degrading and Energy-Efficient Modular Router Architecture for On-Chip Networks", Proceedings of the Thirty-Third Annual International Symposium on Computer Architecture (ISCA 2006), pp. 4-15 D. Park, C. A. Nicopoulos, J. Kim, N. Vijaykrishnan and C. R. Das, 2006, "Exploring Fault-Tolerant Network-on-Chip Architectures", Proceedings of the International Conference on Dependable Systems and Networks (DSN-2006), pp. 93-102 R. Ramanarayanan, K. Krishnan, N. Vijaykrishnan, Y. Xie and M. J. Irwin, 2006, "Temperature and Voltage Scaling Effects on Electrical Masking", Proceedings of the Second Workshop on System Effects of Logic Soft Errors (SELSE 2006), pp. 4 A. Gayasen, Vijaykrishnan Narayanan, M. Kandemir and A. Rahman, 2006, "Switch Box Architectures for Three-Dimensional FPGAs", Proceedinsg of the IEEE Symposium on Field-Programmable Custom Computing Machines (FCCM), pp. 2 C. A. Nicopoulos, D. Park, J. Kim, N. Vijaykrishnan and C. R. Das, 2006, "ViChaR: A Dynamic Virtual Channel Regulator for Network-on-Chip Routers", Proceedings of the International Symposium on Microarchitecture (MICRO 06), pp. 333-346 B. Vaidyanathan, Y. Xie, N. Vijaykrishnan and R. Luo, 2006, "Leakage Optimized DECAP Design for FPGAs", Proceedings of the IEEE Asia Pacific Conference on Circuits and Systems (APCCAS 2006), pp. 5 P. Sundararajan, A. Gayasen, Vijaykrishnan Narayanan and T. Tuan, 2006, "Thermal Characterization and Optimization in Platform FPGAs", Proceedings International Conference on Computer Aided Design (ICCAD-2006), pp. 443-447 P. Sundararajan, S. Krishnamurthy, N. Vijaykrishnan, K. Chaudhary and R. Jayaraman, 2006, "Performance Improvements Through Timing Driven Reconfiguration of Black-Boxes in Platform FPGAs", Proceedings of the IEEE International System on Chip Conference (SOCC 2006), pp. 105-106 G. Chen, L. Xue, J. Kim, K. Sobti, L. Deng, X. Sun, N. Pitsianis, C. Chakrabarti, M. Kandemir and N. Vijaykrishnan, 2006, "Using Geometric Tiling for Reducing Power Consumption in Structured Matrix Operations", Proceedings of the IEEE International System on Chip Conference (SOCC 2006), pp. 113-114 S. Srinivasan, R. Ramadoss and Vijaykrishnan Narayanan, 2006, "Process Variation Aware Parallelization Strategies for MPSoCs", Proceedings of the IEEE International System on Chip Conference (SOCC 2006), pp. 179-184 D. Park, C. Nicopoulos, J. Kim, N. Vijaykrishnan and C. R. Das, 2006, "A Distributed Multi-Point Network Interface for Low-Latency, Deadlock-Free On-Chip Interconnects", Proceedings of the First International Conference on Nano-Networks (Nano-Net 2006), pp. 6 S. Srinivasan, M. Prasanth, S. Karhink, Y. Xie and Vijaykrishnan Narayanan, 2006, "FLAW: FPGA Lifetime Awareness", Proceedings of the Forty-Third Design Automation Conference (DAC 2006), pp. 630-635 F. Li, C. Nicopoulos, T. Richardson, Y. Xie, N. Vijaykrishnan and M. Kandemir, 2006, "Design and Management of 3D Chip Multiprocessors using Network-in-memory", Proceedings of the Thirty-Third Annual International Symposium on Computer Architecture (ISCA 2006), pp. 130-141 M. Mutyam, F. Li, N. Vijaykrishnan, M. Kandemir and M. J. Irwin, 2006, "Compiler Directed Thermal Management for VLIW Functional Units", Proceedings of the ACM SIGPLAN/SIGBED Conference on Languages, Compilers, and Tools for Embedded Systems (LCTES 2006), pp. 163-172 B. Vaidyanathan, Y. Xie, Vijaykrishnan Narayanan and H. Zheng, 2006, "Soft Error Analysis and Optimizations of C-elements in Asynchronous Circuits", Proceedings of the Second Workshop on System Effects of Logic Soft Errors (SELSE 2006), pp. 4 W.-L. Hung, G. Link, Y. Xie, N. Vijaykrishnan and M. J. Irwin, 2006, "Interconnect and Thermal-aware Floorplanning for 3D Microprocessors", Proceedings of the Seventh International Symposium on Quality Electronic Design (ISQED 2006), pp. 98-104 S. Yang, W. Wolf, N. Vijaykrishnan and Y. Xie, 2006, "Reliability-aware SOC Voltage Islands Partition and Floorplan", Proceedings of the IEEE Computer Society Annual Symposium on VLSI (ISVLSI 2006), pp. 341-347 K. Veezhinathan, Sk. Noor Mahammad, V. Muralidaran and N. Vijaykrishnan, 2005, "Reduced Triple Modular Redundancy for Tolerating SEUs in SRAM-based FPGA", Proceedings of the Annual Military and Aerospace Applications of Programmable Devices and Technologies Conference (MAPLD '05) S. Srinivasan, F. Angiolini, M. Ruggiero, N. Vijaykrishnan and L. Benini, 2005, "Simultaneous Memory and Bus Partitioning for SoC Architectures", Proceedings of the IEEE International SoC Conference (SOCC 2005), pp. 125-128 J. Kim, D. Park, C. Nicopoulos, N. Vijaykrishnan and C. R. Das, 2005, "Design and Analysis of an NoC Architecture from Performance, Reliability and Energy Perspective", Proceedings of the First Symposium on Architectures for Networking and Communication Systems (ANCS 2005), pp. 173-182 M. Pirretti, N. Vijaykrishnan, M. Kandemir and R. Brooks, 2005, "Realistic Models for Sensor Networks Using Key Predistribution Schemes", Proceedings of the Innovations and Commercial Applications of Distributed Sensor Networks Symposium (ICA DSN) M. Pirretti, S. Zhu, N. Vijaykrishnan, P. McDaniel, M. Kandemir and R. Brooks, 2005, "The Sleep Deprivation Attack in Sensor Networks: Analysis and Methods of Defense", Proceedings of the Innovations and Commercial Applications of Distributed Sensor Networks Symposium (ICA DSN) W. Hung, G. Link, Y. Xie, N. Vijaykrishnan, N. Dhanwada and J. Conner, 2005, "Temperature-Aware Voltage Islands Architecting in System-on-Chip Design", Proceedings of the IEEE International Conference on Computer Design (ICCD 2005), pp. 689-696 Y. Tsai, Y. Xie, N. Vijaykrishnan and M. J. Irwin, 2005, "Three-dimensional cache design using 3DCacti", Proceedings of the IEEE International Conference on Computer Design (ICCD 2005), pp. 519-524 N. Dhanwada, I. Lin and N. Vijaykrishnan, 2005, "A Power Estimation Methodology for SystemC Transaction Level Models", Proceedings of the International Conference on Hardware/Software Codesign and Synthesis (CODES + ISSS 2005), pp. 142-147 E. Swankowski and N. Vijaykrishnan, 2005, "Dynamic High-Performance Multi-Mode Architectures for AES Encryption", Proceedings of the Annual Military and Aerospace Applications of Programmable Devices and Technologies Conference (MAPLD '05) E. S. S. Reddy, V. Chandrasekhar, M. Sashikanth, K. Kamakoti Veezhinathan and N. Vijaykrishnan, 2005, "Online Detection and Diagnosis of Multiple Configuration Upsets in LUTs of SRAM-based FPGAs", Proceedings of the Twelfth Reconfigurable Architectures Workshop (RAW 2005), pp. 172a S. Srinivasan, A. Gayasen, N. Vijaykrishnan and T. Tuan, 2005, "Leakage Control in FPGA Routing Fabric", Proceedings of the Asia South Pacific Design Automation Conference (ASP-DAC 2005), pp. 661-664 S. Yang, W. Wolf, W. Wang, N. Vijaykrishnan and Y. Xie, 2005, "Low-Leakage Robust SRAM Cell Design for Sub-100nm Technologies", Proceedings of the Asia South Pacific Design Automation Conference (ASP-DAC 2005), pp. 539-544 J. Hu, F. Li, V. Degalahal, M. Kandemir, N. Vijaykrishnan and M. J. Irwin, 2005, "Compiler-directed Instruction Duplication for Soft Error Detection", Proceedings of the Design, Automation, and Test in Europe (DATE 2005), pp. 1056-1057 G. Link and N. Vijaykrishnan, 2005, "Hotspot Prevention Through Runtime Reconfiguration in Network-On-Chip Designs", Proceedings of the Design, Automation, and Test in Europe (DATE 2005), pp. 648-649 S. Srinivasan and N. Vijaykrishnan, 2005, "Simultaneous Partitioning and Frequency Assignment for On-chip Bus Architectures", Proceedings of the Design, Automation, and Test in Europe (DATE 2005), pp. 218-223 S. Yang, W. Wolf, N. Vijaykrishnan and Y. Xie, 2005, "Power Attack Resistant Crypto Design: A Dynamic Voltage and Frequency Switching Approach", Proceedings of the Design, Automation, and Test in Europe (DATE 2005), pp. 64-69 W.-L. Hung, Y. Xie, N. Vijaykrishnan, M. Kandemir and M. J. Irwin, 2005, "Thermal-Aware Allocation and Scheduling for Systems-on-a-Chip Design", Proceedings of the Design, Automation, and Test in Europe (DATE 2005), pp. 898-899 Y.-F. Tsai, N. Vijaykrishnan, Y. Xie and M. J. Irwin, 2005, "Leakage-Aware Interconnect for On-Chip Network", Proceedings of the Design, Automation, and Test in Europe (DATE 2005), pp. 230-231 W.-L. Hung, Y. Xie, Vijaykrishnan Narayanan, C. Addo-Quaye, T. Theocharides and M. J. Irwin, 2005, "Thermal-Aware Floorplanning Using Genetic Algorithms", Proceedings of the Sixth International Symposium on Quality Electronic Design (ISQED 2005), pp. 634-639 J. Lee, N. Vijaykrishnan and M. J. Iriwn, 2005, "High Performance Array Processor for Video Decoding", Proceedings of the IEEE Computer Society Annual Symposium on VLSI (ISVLSI '05), pp. 28-33 H. Saputra, O. Ozturk, N. Vijaykrishnan, M. Kandemir and R. Brooks, 2005, "A Data-driven Approach for Embedded Security", Proceedings of the IEEE Computer Society Annual Symposium on VLSI (ISVLSI '05), pp. 104-109 J.-H. Kim, D. Park, T. Theocharides, N. Vijaykrishnan and C. R. Das, 2005, "A Low Latency Router Supporting Adaptivity for On-Chip Interconnects", Proceedings of the Forty-Second Design Automation Conference (DAC '05), pp. 559-564 S. Mourali, T. Theocharides, L. Benini, G. DeMicheli, N. Vijaykrishnan and M. J. Irwin, 2005, "Analysis of Error Recovery Schemes for Networks-On-Chips", 22, (5), pp. 434-442 A. Gayasen, Vijaykrishnan Narayanan and M. J. Irwin, 2005, "Exploring Technology Alternatives for Nano-Scale FPGA Interconnects", Proceedings of the Forty-Second Design Automation Conference (DAC '05), pp. 921-926 E. Reddy Sundar Syam, V. Chandrasekhar, M. Sashikanth, V. Kamakoti and N. Vijaykrishnan, 2005, "Cluster-based Detection of SEU-caused Errors in LUTs of SRAM-based FPGAs", Proceedings of the Asia South Pacific Design Automation Conference (ASP-DAC 2005), pp. 1200-1203 E. Reddy Sundar Syam, S. M. Sashikanth, V. Chandrasehar, Vijaykrishnan Narayanan and V. Kamakoti, 2005, "Detecting SEU-caused Routing Errors in SRAM-based FPGAs", Proceedings of the Eighteenth International Conference on VLSI Design, pp. 736-741 T. Theocharides, G. Link, Vijaykrishnan Narayanan and M. J. Irwin, 2005, "Implementing LDPC Decoding on Network on Chip", Proceedings of the Eighteenth International Conference on VLSI Design, pp. 134-137 Y.-F. Tsai, Vijaykrishnan Narayanan, M. J. Irwin and Y. Xie, 2005, "Influence of Leakage Reduction Techniques on Delay/Leakage Uncertainty", Proceedings of the Eighteenth International Conference on VLSI Design, pp. 374-379 K. Irick, W. Xu, Vijaykrishnan Narayanan and M. J. Irwin, 2005, "A Nanosensor Array Based VLSI Gas Discriminator", Proceedings of the Eighteenth International Conference on VLSI Design, pp. 241-248 S. Yang, W. Wolf, W. Wang, Vijaykrishnan Narayanan and Y. Xie, 2005, "Accurate Stacking Effect Macro-Modeling of Leakage Power in Sub-100nm Circuits", Proceedings of the Eighteenth International Conference on VLSI Design, pp. 165-170 M. Derenzo, M. J. Irwin and N. Vijaykrishnan, 2004, "Designing Leakage-Aware Multipliers", Proceedings of the Seventeenth International Conference on VLSI Design, pp. 654-657 T. Theocharides, G. Link, N. Vijaykrishnan, M. J. Irwin and W. Wolf, 2004, "Embedded Hardware Face Detection", Proceedings of the Seventeenth International Conference on VLSI Design, pp. 133-138 E. Reddy Sundar Syam, S. Kanth, V. Chandrasekhar, S. Srinivasan, N. Vijaykrishnan and V. Kamakoti, 2004, "A Novel CLB Architecture to Detect and Correct SEU in LUTs of SRAM-based FPGAs", Proceedings of the 2004 IEEE International Conference on Field- Programmable Technology (FPT'04), pp. 121-128 J. S. Kim, C. Nicopoulos, N. Vijaykrishnan, Y. Xie and E. Lattanzi, 2004, "A Probabilistic Model for Soft-Error Rate Estimation in Combinatorial Logic", Proceedings of the First International Workshop on Probabilistic Analysis Techniques for Real Time and Embedded Systems (PARTES 2004) K. Unlu, V. Degalahal, M. S. Cetiner, N. Vijaykrishnan and M. J. Irwin, 2004, "Testing Neutron-Included Soft Errors in Semiconductors", Proceedings of the American Nuclear Society Winter Meeting, pp. 825-826 S. Srinivasan, A. Gayasen, N. Vijaykrishnan, M. Kandemir, Y. Xie and M. J. Irwin, 2004, "Improving Soft-error Tolerance of FPGA Configuration Bits", Proceedings of the International Conference on Computer Aided Design (ICCAD-2004), pp. 107-110 B. T. Kang, N. Vijaykrishnan and M. J. Irwin, 2004, "Analyzing Software Influences on Substrate Noise: An ADC Perspective", Proceedings of the International Conference on Computer Aided Design (ICCAD-2004), pp. 916-922 G. Chen, M. Kandemir, N. Vijaykrishnan and M. J. Irwin, 2004, "Field-level Analysis for Heap Space Optimization in Embedded Java", Proceedings of the International Symposium on Memory Management (ISMM'04), pp. 131-142 J. Lee, N. Vijaykrishnan, M. J. Irwin and R. Radhakrishnan, 2004, "Inverse Discrete Cosine Transform Architecture Exploiting Sparseness and Symmetry Properties", Proceedings of the IEEE Workshop on Signal Processing Systems (SiPS'04), pp. 361-366 W. Hung, C. Addo-Quaye, T. Theocharides, Y. Xie, N. Vijaykrishnan and M. J. Irwin, 2004, "Thermal-Aware IP Virtualization and Placement for Networks-on-Chip Architecture", Proceedings of the International Conference on Computer Design (ICCD 2004), pp. 430-437 Y. Xie, L. Li, M. Kandemir, N. Vijaykrishnan and M. J. Irwin, 2004, "Reliability-aware Cosynthesis for Embedded Systems", Proceedings of the Fifteenth IEEE International Conference on Application-Specific Systems, Architectures, and Processors (ASAP'04), pp. 41-50 Y.-F. Tsai, A. Hegde, N. Vijaykrishnan and M. J. Irwin, 2004, "ChipPower: An Architecture-Level Leakage Simulator", Proceedings of the IEEE International Systems-on-Chip Conference (SOCC 2004), pp. 395-398 T. Theocharides, G. Link, N. Vijaykrishnan, M. J. Irwin and V. Srikantam, 2004, "A Generic Reconfigurable Neural Network Architecture Implemented as a Network on Chip", Proceedings of the IEEE International Systems-on-Chip Conference (SOCC 2004), pp. 191-194 B. T. Kang, N. Vijaykrishnan, M. J. Irwin and T. Theocharides, 2004, "Power-Efficient Implementation of Turbo Decoder in SDR Systems", Proceedings of the IEEE International Systems-on-Chip Conference (SOCC 2004), pp. 119-122 G. Chen, M. Kandemir, N. Vijaykrishnan, A. Sivasubramaniam and M. J. Irwin, 2004, "Analyzing Object Error Behavior in Embedded JVM Environments", Proceedings of the IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and Systems Synthesis (CODES+ISSS'04), pp. 230-235 A. Gayasen, K. Lee, N. Vijaykrishnan, M. Kandemir, M. J. Irwin and T. Tuan, 2004, "A Dual Vdd Low-power FPGA Architecture", Proceedings of the International Conference on Field-programmable Logic and Its Applications (FPL'04), pp. 145-157 W. Hung, Y. Xie, N. Vijaykrishnan, M. Kandemir and M. J. Irwin, 2004, "Total Power Optimization Through Simultaneously Multiple-VDD Multiple-VTH Assignment and Device Sizing With Stack Forcing", Proceedings of the International Symposium on Low Power Electronics and Design (ISLPED 2004), pp. 144-149 L. Li, V. Degalahal, N. Vijaykrishnan, M. Kandemir and M. J. Irwin, 2004, "Soft Error and Energy Consumption Interactions: A Data Cache Perspective", Proceedings of the International Symposium on Low Power Electronics and Design (ISLPED 2004), pp. 132-137 S. Yang, W. Wolf and N. Vijaykrishnan, 2004, "Search Speed and Power Driven Integrated Software and Hardware Optimizations for Motion Estimation Algorithms", Proceedings of the 2004 IEEE International Conference on Multimedia and Expo (ICME 2004) H. Saputra, G. Chen, R. Brooks, N. Vijaykrishnan, M. Kandemir and M. J. Irwin, 2004, "Code Protection for Resource-constrained Embedded Devices", Proceedings of the ACM SIGPLAN/SIGBED 2004 Conference on Languages, Compilers, and Tools for Embedded Systems (LCTES '04), pp. 240-248 Y.-F. Tsai, D. Duarte, N. Vijaykrishnan and M. J. Irwin, 2004, "Impact of Process Scaling on the Efficacy of Leakage Reduction Scheme", Proceedings of the International Conference on IC Design and Technology (ICICDT 2004), pp. 3-11 J. Lee, Vijaykrishnan Narayanan and M. J. Irwin, 2004, "Efficient VLSI Implementation of Inverse Discrete Cosine Transform", Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2004), pp. 177-180 W. Xu, N. Vijaykrishnan, Y. Xie and M. J. Irwin, 2004, "Design of a Nanosensor Array Architecture", Proceedings of the 2004 Great Lakes Symposium on VLSI (GLSVLSI 2004), pp. 298-303 E. Lattanzi, A. Bogliolo, A. Gayasen, M. Kandemir, N. Vijaykrishnan and L. Benini, 2004, "Improving Java Performance by Dynamic Method Migration on FPGAs", Proceedings of the Eleventh Reconfigurable Architectures Workshop (RAW 2004), pp. p. 134 E. Swankoski, R. Brooks, N. Vijaykrishnan, M. Kandemir and M. J. Irwin, 2004, "A Parallel Architecture for Secure FPGA Symmetric Encryption", Proceedings of the Eleventh Reconfigurable Architectures Workshop (RAW 2004), pp. p. 132 V. Degalahal, R. Ramanarayanan, N. Vijaykrishnan, Y. Xie and M. J. Irwin, 2004, "The Effect of Threshold Voltages on the Soft Error Rate", Proceedings of the Fifth International Symposium on Quality Electronic Design (ISQED 2004), pp. 503-508 A. Gayasen, Y. Tsai, N. Vijaykrishnan, M. Kandemir and M. J. Irwin, 2004, "Reducing Leakage Energy in FPGAs Using Region-constrained Placement", Proceedings of the ACM International Symposium on Field-Programmable Gate Arrays (FPGA'04), pp. 51-58 T. Theocharides, G. Link, E. Swankoski, N. Vijaykrishnan, M. J. Irwin and H. Schmit, 2004, "Evaluating Alternative Implementations for LDPC Decoder Check Node Function", Proceedings of the IEEE Computer Society Annual Symposium on VLSI (ISVLSI 2004), pp. 77-82 M. Pirreti, G. Link, R. Brooks, N. Vijaykrishnan, M. Kandemir and M. J. Irwin, 2004, "Fault-tolerant Algorithms for Network-on-chip Interconnect", Proceedings of the IEEE Computer Society Annual Symposium on VLSI (ISVLSI 2004), pp. 46-51 J. S. Hu, N. Vijaykrishnan, S. Kim, M. Kandemir and M. J. Irwin, 2004, "Scheduling Reusable Instructions for Power Reduction", Proceedings of the Design Automation and Test in Europe Conference (DATE'04), 1, pp. 148-155 L. Li, N. Vijaykrishnan, M. Kandemir and M. J. Irwin, 2004, "A Crosstalk Aware Interconnect with Variable Cycle Transmission", Proceedings of the Design Automation and Test in Europe Conference (DATE'04), 1, pp. 102-107 J. S. Hu, N. Vijaykrishnan and M. J. Irwin, 2004, "Exploring Wakeup-Free Instruction Scheduling", Proceedings of the Tenth International Symposium on High Performance Computer Architecture (HPCA-10), pp. 232-243 J. Lee, N. Vijaykrishnan, M. J. Irwin and W. Wolf, 2004, "An Architecture for Motion Estimation in the Transform Domain", Proceedings of the Seventeenth International Conference on VLSI Design, pp. 1077-1082 I. Kadayif, I. Kolcu, N. Vijaykrishnan, M. Kandemir and M. J. Irwin, 2004, "Exploiting Processor Workload Heterogeneity for Reducing Energy Consumption in Chip Multiprocessor", Proceedings of the Design Automation and Test in Europe Conference (DATE'04), 2, pp. 158-163 V. Degalahal, N. Vijaykrishnan and M. J. Irwin, 2003, "Analyzing Soft Errors in Leakage Optimized SRAM Designs", Proceedings of the Sixteenth International Conference on VLSI Design, pp. 539-545 J. S. Hu, N. Vijaykrishnan, M. J. Irwin and M. Kandemir, 2003, "Using Dynamic Branch Behavior for Power-Efficient Instruction Fetch", Proceedings of the IEEE Annual Symposium on VLSI (ISVLSI'03), pp. 127-132 S. Gurumurthi, J. Zhang, A. Sivasubramaniam, M. Kandemir, H. Franke, N. Vijaykrishnan and M. J. Irwin, 2003, "Interplay of Energy and Performance for Disk Arrays Running Transaction Processing Workloads", Proceedings of the International Symposium on Performance Analysis of Systems and Software (ISPASS'03), pp. 123-132 H. Saputra, N. Vijaykrishnan, M. Kandemir, M. J. Irwin, R. Brooks, S. Kim and W. Zhang, 2003, "Masking the Energy Behavior of DES Encryption", Proceedings of International Conference on Design Automation and Test in Europe (DATE 2003), pp. 10084-10089 W. Zhang, M. Kandemir, N. Vijaykrishnan, M. J. Irwin and V. De, 2003, "Compiler Support for Reducing Leakage Energy Consumption", Proceedings of International Conference on Design Automation and Test in Europe (DATE 2003), pp. 11146-11147 S. Gurumurthi, N. An, A. Sivasubramaniam, N. Vijaykrishnan, M. Kandemir and M. J. Irwin, 2003, "Energy and Performance Considerations in Work Partitioning for Mobile Spatial Queries", Proceedings of the International Parallel and Distributed Processing Symposium (IPDPS 2003) G. Chen, B. Kang, N. Vijaykrishnan, N. Vijaykrishnan, M. J. Irwin and R. Chandramouli, 2003, "Energy-Aware Compilation and Execution in Java-Enabled Mobile Devices", Proceedings of the International Parallel and Distributed Processing Symposium (IPDPS 2003) H. Schmit, T. Kroll, M. Khusid, I. Kourtev, N. Vijaykrishnan and D. Landis, 2003, "The Sandbox Experience Course", Proceedings of the International Conference on Microsystem Education, pp. 41-42 Y.-F. Tsai, D. Duarte, N. Vijaykrishnan and M. J. Irwin, 2003, "Implications of Technology Scaling on Leakage Reduction Techniques", Proceedings of the Fortieth Design Automation Conference, pp. 187-190 H. S. Kim, N. Vijaykrishnan, M. Kandemir and M. J. Irwin, 2003, "Adapting Instruction Level Parallelism for Optimizing Leakage in VLIW Architectures", Proceedings of the Workshop on Languages, Compilers, and Tools for Embedded Systems (LCTES'03), pp. 275-283 A. Bhatkar, R. Chandramouli, N. Vijaykrishnan and M. J. Irwin, 2003, "Computation and Transmission Energy Modeling Through Profiling for MPEG4 Video Transmission", Proceedings of the IEEE International Conference on Multimedia & Expo (ICME 2003), 1, pp. 281-284 H. S. Kim, N. Vijaykrishnan, M. Kandemir, E. Brockmeyer, F. Catthoor and M. J. Irwin, 2003, "Estimating Influence of Data Layout Optimizations on SDRAM Energy Consumption", Proceedings of the International Symposium on Low Power Electronics and Design (ISLPED'03), pp. 40-43 S. Kim, N. Vijaykrishnan, M. J. Irwin and L. K. John, 2003, "On Load Latency in Low-Power Caches", Proceedings of the International Symposium on Low Power Electronics and Design (ISLPED'03), pp. 258-261 J. S. Hu, N. Vijaykrishnan, M. Kandemir and M. J. Irwin, 2003, "Exploiting Program Hotspots and Code Sequentiality for Instruction Cache Leakage Management", Proceedings of the International Symposium on Low Power Electronics and Design (ISLPED'03), pp. 402-407 E. J. Kim, K. H. Yum, G. Link, N. Vijaykrishnan, M. Kandemir, M. J. Irwin and C. R. Das, 2003, "Energy Optimization Techniques in Cluster Interconnects", Proceedings of the International Symposium on Low Power Electronics and Design (ISLPED'03), pp. 459-464 H. Saputra, N. Vijaykrishnan, M. Kandemir, R. Brooks and M. J. Iriwn, 2003, "Exploiting Value Locality for Secure Energy Aware Communication", Proceedings of the IEEE Workshop on Signal Processing Systems (SIPS'03), pp. 116-121 J. Lee, N. Vijaykrishnan, M. J. Irwin and R. Chandramouli, 2003, "An Efficient Implementation of Hierarchical Image Coding", Proceedings of the IEEE Workshop on Signal Processing Systems (SIPS'03), pp. 363-368 L. Li, N. Vijaykrishnan, M. Kandemir, M. J. Irwin and I. Kadayif, 2003, "CCC: Crossbar Connected Caches for Reducing Energy", Proceedings of the Euromicro Symposium on Digital System Design (DSD'2003), pp. 41-48 G. Chen, G. Chen, M. Kandemir, N. Vijaykrishnan and M. J. Irwin, 2003, "Energy-aware Code Cache Management for Memory-constrained Java Devices", Proceedings of the IEEE International SOC Conference (ASIC/SOC'03), pp. 179-182 R. Ramanarayanan, V. Degalahal, N. Vijaykrishnan, M. J. Irwin and D. Duarte, 2003, "Analysis of Soft-Error Rate for Flip-Flops and Scannable Latches", Proceedings of the IEEE International SOC Conference (ASIC/SOC'03), pp. 231-234 B. Kang, N. Vijaykrishnan, M. J. Irwin and D. Duarte, 2003, "Substrate Noise Detector for Noise Tolerant Mixed-Signal IC", Proceedings of the IEEE International SOC Conference (ASIC/SOC'03), pp. 279-280 D. Duarte, N. Vijaykrishnan and M. J. Irwin, 2003, "Energy and Timing Characterization of VLSI Charge-pump Phase-locked Loops", Proceedings of the IEEE International SOC Conference (ASIC/SOC'03), pp. 341-344 A. Hegde, N. Vijaykrishnan, M. Kandemir and M. J. Iriwn, 2003, "VL-CDRAM: Variable Line Sized Cached DRAMs", Proceedings of the CODES-ISSS Merged Conference (CODES/ISSS'03), pp. 132-137 G. Chen, N. Vijaykrishnan, M. Kandemir, M. J. Irwin and M. Wolczko, 2003, "Tracking Object Life Cycle for Leakage Energy Optimization", Proceedings of the CODES-ISSS Merged Conference (CODES/ISSS'03), pp. 213-218 V. De La Luz, A. Sivasubramaniam, M. Kandemir, M. J. Irwin and N. Vijaykrishnan, 2003, "Reducing dTLB Energy Through Dynamic Resizing", Proceedings of the Twenty-First International Conference on Computer Design (ICCD), pp. 358-363 G. Chen, M. Kandemir, N. Vijaykrishnan, M. J. Irwin, B. Mathiske and M. Wolczko, 2003, "Heap Compression for Memory-constrained Java Environments", Proceedings of the Eighteenth Annual ACM SIGPLAN Conference on Object-Oriented Programming, Systems, Languages, and Applications (OOPSLA'03), pp. 282-301 L. Li, N. Vijaykrishnan, M. Kandemir and M. J. Irwin, 2003, "Adaptive Error Protection for Energy Efficiency", Proceedings of the International Conference on Computer Aided Design (ICCAD-2003), pp. 2-7 N. Vijaykrishnan, 2003, "Designing Energy-Efficient and Reliable Hardware", Proceedings of the IFIP International Conference on VLSI, pp. 6-9 S. Yang, W. Wolf and N. Vijaykrishnan, 2003, "Power Modeling of VLSI Motion Estimation Architecture", Proceedings of the Fifth Workshop on Media and Streaming Processors (MSP), held in conjunction with MICRO-6, pp. 39-49 V. De La Luz, M. Kandemir, N. Vijaykrishnan, M. J. Irwin, A. Sivasubramaniam and I. Kolcu, 2002, "Compiler-Directed Array Interleaving for Reducing Energy in Multi-Bank Memories", Proceedings of the Seventh Asia and South Pacific Design Automation Conference (ASP-DAC '02) and the Fifteenth International Conference on VLSI Design (VLSI Design 2002), pp. 288-293 D. Duarte, Y.-F. Tsai, N. Vijaykrishnan and M. J. Irwin, 2002, "Evaluating Run-Time Techniques for Leakage Power Reduction", Proceedings of the Seventh Asia and South Pacific Design Automation Conference and the Fifteenth International Conference on VLSI Design (VLSI Design/ASP-DAC '02), pp. 31-38 G. Chen, R. Shetty, M. Kandemir, N. Vijaykrishnan, M. J. Irwin and M. Wolczko, 2002, "Tuning Garbage Collection in an Embedded Java Environment", Proceedings of the Eighth International Symposium on High-Performance Computer Architecture (HPCA-8), pp. 92-103 S. Gurumurthi, A. Sivasubramaniam, M. J. Irwin, N. Vijaykrishnan, M. Kandemir, T. Li and L. K. John, 2002, "Using Complete Machine Simulation for Software Power Estimation: The SoftWatt Approach", Proceedings of the Eighth International Symposium on High-Performance Computer Architecture (HPCA-8), pp. 141-150 I. Kadayif, M. Kandemir, N. Vijaykrishnan, M. J. Irwin and A. Sivasubramaniam, 2002, "EAC: A Compiler Framework for High-Level Energy Estimation and Optimization", Proceedings of the International Conference on Design Automation and Test in Europe (DATE), pp. 436-442 J. S. Hu, N. Vijaykrishnan, M. Kandemir and M. J. Irwin, 2002, "Power-Efficient Trace Caches", Proceedings of International Conference on Design Automation and Test in Europe (DATE 2002), pp. p. 1091 D. Duarte, N. Vijaykrishnan and M. J. Irwin, 2002, "A Complete Phase-Locked Loop Power Consumption Model", Proceedings of International Conference on Design Automation and Test in Europe (DATE 2002), pp. p. 1108 I. Kadayif, N. Orr, M. Kandemir, Vijaykrishnan Narayanan and M. J. Irwin, 2002, "Instruction Selection/Scheduling Using an Energy-aware Instruction Set Architecture", Proceedings of the Sixth Workshop of Languages, Compilers, and Runtime Systems for Scalable Computers (LCR '02), pp. 1-10 A. Sivasubramaniam, M. Kandemir, N. Vijaykrishnan and M. J. Irwin, 2002, "Designing Energy-Efficient Software", Proceedings of the Next Generation Software Workshop, held in conjunction with the International Parallel and Distributed Processing Symposium (IPDPS 2002), pp. p. 176 D. Duarte, Vijaykrishnan Narayanan, M. J. Irwin and Y.-F. Tsai, 2002, "Impact of Technology Scaling on the Clock System Power", Proceedings of the IEEE Computer Society Annual Symposium on VLSI (ISVLSI 2002), pp. 59-64 I. Kadayif, M. Kandemir, N. Vijaykrishnan and M. J. Irwin, 2002, "Hardware-Software Co-Adaption for Data-Intensive Embedded Applications", Proceedings of the IEEE Computer Society Annual Symposium on VLSI (ISVLSI 2002), pp. 20-25 B.-T. Kang, N. Vijaykrishnan, M. J. Irwin and R. Chandramouli, 2002, "Power Efficient Adaptive M-QAM Design Using Adaptive Pipelined Analog-to-Digital Converter", Proceedings of the International Conference on Acoustics, Speech and Signal Processing (ICASSP 2002). (CD ROM Proceedings) G. Chen, M. Kandemir, N. Vijaykrishnan, M. J. Irwin and W. Wolf, 2002, "Energy Savings Through Compression in Embedded Java Environments", Proceedings of the ACM/SIGDA/SIGSOFT Tenth International Conference on Hardware/Software Codesign (CODES '02), pp. 163-168 H. Saputra, M. Kandemir, Vijaykrishnan Narayanan, M. J. Irwin, J. S. Hu, C.-H. Hsu and U. Kremer, 2002, "Energy-Conscious Compilation Based on Voltage Scaling", Proceedings of the ACM SIGPLAN Joint Conference on Languages, Compilers, and Tools for Embedded Systems (LCTES'02) and Software and Compilers for Embedded Systems (SCOPES'02), pp. 2-10 J. S. Hu, M. Kandemir, N. Vijaykrishnan, M. J. Irwin, H. Saputra and W. Zhang, 2002, "Compiler-Directed Cache Polymorphism", Proceedings of the ACM SIGPLAN Joint Conference on Languages, Compilers, and Tools for Embedded Systems (LCTES'02) and Software and Compilers for Embedded Systems (SCOPES'02), pp. 165-174 V. Delaluz, A. Sivasubramaniam, M. Kandemir, N. Vijaykrishnan and M. J. Irwin, 2002, "Scheduler-Based DRAM Energy Management", Proceedings of the Thirty-Ninth Design Automation Conference (DAC), pp. 697-702 G. Chen, M. Kandemir, N. Vijaykrishnan, M. J. Irwin and M. Wolczko, 2002, "Adaptive Garbage Collection for Battery-Operated Environments", Proceedings of the Second USENIX JavaTM Virtual Machine Research and Technology Symposium (JVM'02), pp. 1-12 D. Duarte, N. Vijaykrishnan, M. J. Irwin, H. S. Kim and G. McFarland, 2002, "Scaling of the Effectiveness of Power Reduction Schemes and the Impact of Temperature Management", Proceedings of the International Conference on Computer Design (ICCD 2002), pp. 382-387 L. Li, I. Kadayif, Y.-F. Tsai, N. Vijaykrishnan, M. Kandemir, M. J. Irwin and A. Sivasubramaniam, 2002, "Leakage Energy Management in Cache Hierarchies", Proceedings of the Eleventh International Conference on Parallel Architectures and Compilation Techniques (PACT 2002), pp. 131-140 S. Kim, N. Vijaykrishnan, M. Kandemir and M. J. Irwin, 2002, "Predictive Precharging for Bitline Leakage Energy Reduction", Proceedings of the Fifteenth Annual IEEE International ASIC/SOC Conference, pp. 36-40 D. Duarte, N. Vijaykrishnan and M. J. Irwin, 2002, "Impact of Technology Scaling and Packaging on Dynamic Voltage Scaling Techniques", Proceedings of the Fifteenth Annual IEEE International ASIC/SOC Conference, pp. 244-248 R. Ramanarayanan, N. Vijaykrishnan and M. J. Irwin, 2002, "Characterizing Dynamic and Leakage Power Behavior in Flip-Flops", Proceedings of the Fifteenth Annual IEEE International ASIC/SOC Conference, pp. 433-437 G. Esakkimuthu, N. Vijaykrishnan and M. J. Irwin, 2002, "An Analytical Power Estimation Model for Crossbar Interconnects", Proceedings of the Fifteenth Annual IEEE International ASIC/SOC Conference, pp. 119-123 J. Zhao, R. Chandramouli, N. Vijaykrishnan, M. J. Irwin, B. Kang and S. Somasundaram, 2002, "Influence of MPEG-4 Parameters on System Energy", Proceedings of the Fifteenth Annual IEEE International ASIC/SOC Conference, pp. 137-142 D. Charles, A. Hurson and N. Vijaykrishnan, 2002, "Improving ILP with Instruction-reuse Cache Hierarchy", Proceedings of the Fifth International Conference on Algorithms and Architectures for Parallel Processing, pp. 206-213 T. Li, L. K. John, A. Sivasubramaniam, N. Vijaykrishnan and J. Rubio, 2002, "Understanding and Improving Operating System Effects in Control Flow Transfer", Proceedings of the International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS-X), pp. 68-80 W. Zhang, J. S. Hu, V. Degalahal, M. Kandemir, N. Vijaykrishnan and M. J. Irwin, 2002, "Compiler-directed Instruction Cache Leakage Optimization", Proceedings of the Thirty-Fifth Annual International Symposium on Microarchitecture (MICRO-35), pp. 208-218 G. Chen, M. Kandemir, N. Vijaykrishnan and M. J. Irwin, 2002, "PennBench: A Benchmark Suite for Embedded Java", Proceedings of the Fifth Annual IEEE Workshop on Workload Characterization (WWC'02), pp. 71-80 S. Kim, Vijaykrishnan Narayanan, M. Kandemir and M. J. Irwin, 2002, "Energy-Efficient Instruction Cache Using Page-Based Placement", Proceedings of the International Conference on Compilers, Architectures and Synthesis for Embedded Systems (CASES 2001), pp. 229-237 N. Kirubanandan, A. Sivasubramaniam, N. Vijaykrishnan, M. Kandemir and M. J. Irwin, 2001, "Memory Energy Characterization and Optimization for the SPEC2000 Benchmarks", Proceedings of the IEEE Fourth Annual Workshop on Workload Characterization (WWC-4) (held in conjunction with MICRO-34), pp. 193-201 W. Zhang, N. Vijaykrishnan, M. Kandemir, M. J. Irwin, D. Duarte and Y.-F. Tsai, 2001, "Exploiting VLIW Schedule Slacks for Dynamic and Leakage Energy Reduction", Proceedings of the Thirty-Fourth Annual International Symposium on Microarchitecture (MICRO-34), pp. 102-113 D. Duarte, N. Vijaykrishnan, M. J. Irwin and M. Kandemir, 2001, "Formulation and Validation of an Energy Dissipation Model for the Clock Generation Circuitry and Distribution Networks", Proceedings of the Fourteenth International Conference on VLSI Design, pp. 248-253 V. De La Luz, M. Kandemir, N. Vijaykrishnan, A. Sivasubramaniam and M. J. Irwin, 2001, "DRAM Energy Management Using Software and Hardware Directed Power Mode Control", Proceedings of the Seventh International Symposium on High Performance Computer Architecture (HPCA 2001), pp. 159-169 S. Tomar, N. Vijaykrishnan, M. Kandemir and R. Shetty, 2001, "Energy Optimization Using Object Co-Location in Java", JOSES: Java Optimization Strategies for Embedded Systems Workshop in conjunction with ETAPS 2001, pp. 9-15 N. Vijaykrishnan, M. Kandemir, S. Tomar, S. Kim, A. Sivasubramaniam and M. J. Irwin, 2001, "Energy Behavior of Java Applications from the Memory Perspective", Proceedings of the Java Virtual Machine Research & Technology Symposium (JVM '01), pp. 207-220 A. Parikh, M. Kandemir, N. Vijaykrishnan and M. J. Irwin, 2001, "VLIW Scheduling for Energy and Performance", Proceedings of IEEE Computer Society Annual Workshop on VLSI (WVLSI 2001), pp. 111-117 R. Athavale, N. Vijaykrishnan, M. Kandemir and M. J. Irwin, 2001, "Influence of Array Allocation Mechanisms on Memory System Energy", Proceedings of the Fifteenth International Parallel and Distributed Processing Symposium (IPDPS 2001), pp. p. 3 M. Kandemir, J. Ramanujam, M. J. Irwin, N. Vijaykrishnan, I. Kadayif and A. Parikh, 2001, "Dynamic Management of Scratch-pad Memory Space", Proceedings of the Thirty-Eighth Design Automation Conference (DAC '01), pp. 690-695 I. Kadayif, T. Chinoda, M. Kandemir, N. Vijaykrishnan, M. J. Irwin and A. Sivasubramaniam, 2001, "vEC: Virtual Energy Counters", Proceedings of ACM SIGPLAN/SIGSOFT Workshop on Program Analysis for Software Tools and Engineering (PASTE '01), pp. 28-31 I. Kadayif, M. Kandemir, N. Vijaykrishnan, M. J. Irwin and J. Ramanujam, 2001, "Morphable Cache Architectures: Potential Benefits", Proceedings of ACM Workshop on Languages, Compilers, and Tools for Embedded Systems (LCTES 2001), pp. 128-137 P. Khosla, H. Schmit, M. J. Irwin and N. Vijaykrishnan, 2001, "SoC Design Skills: Collaboration Builds a Stronger SoC Design Team", Proceedings of the 2001 International Conference on Microelectronic Systems Education (MSE 2001), pp. 42-43 S. Kim, Vijaykrishnan Narayanan, M. Kandemir, A. Sivasubramaniam, M. J. Iriwn and E. Geethanjali, 2001, "Power-aware Partitioned Cache Architectures", Proceedings of the International Symposium on Low Power Electronics and Design (ISLPED '01), pp. 64-67 N. An, A. Sivasubramaniam, N. Vijaykrishnan, M. Kandemir, M. J. Irwin and S. Gurumurthi, 2001, "Analyzing Energy Behavior of Spatial Access Methods for Memory-Resident Data", Proceedings of the Twenty Seventh International Conference on Very Large Databases (VLDB 2001), pp. 411-420 J. Hezavei, N. Vijaykrishnan, M. J. Irwin, M. Kandemir and D. Duarte, 2001, "Input Sensitive High-level Power Analysis", Proceedings of the 2001 IEEE Workshop on SiGNAL Processing Systems (SiPS 2001), pp. 149-156 H. S. Kim, N. Vijaykrishnan, M. Kandemir and M. J. Irwin, 2001, "A Framework for Exploring Energy-Efficient VLIW Architectures", Proceedings of the International Conference on Computer Design (ICCD 2001), pp. 40-45 S. Tomar, S. Kim, N. Vijaykrishnan, M. Kandemir and M. J. Irwin, 2001, "Use of Local Memory for Efficient Java Execution", Proceedings of the International Conference on Computer Design (ICCD 2001), pp. 468-473 G. Thirugnanam, N. Vijaykrishnan and M. J. Irwin, 2001, "A Novel Low Power CAM Design", Proceedings of the Fourteenth Annual IEEE International ASIC/SOC Conference, pp. 198-202 D. Duarte, N. Vijaykrishnan, M. J. Irwin and M. Kandemir, 2001, "Evaluating the impact of architectural-level optimizations on clock power", Proceedings of the Fourteenth Annual IEEE International ASIC/SOC Conference, pp. 447-451 R. Radhakrishnan, N. Vijaykrishnan, L. K. John and A. Sivasubramaniam, 2000, "Execution Characteristics of Java Run-time Systems", Proceedings of the International Symposium on High Performance Computer Architecture (HPCA-6), pp. 387-398 J. Hezavei, N. Vijaykrishnan and M. J. Irwin, 2000, "A Comparative Study of Power Efficient SRAM Design", Proceedings of the Tenth Great Lakes Symposium on VLSI (GLSVLSI-2000), pp. 117-122 H. S. Kim, N. Vijaykrishnan, M. Kandemir and M. J. Irwin, 2000, "Multiple Access Caches: Energy Implications", Proceedings of the IEEE CS Annual Workshop on VLSI (WVLSI 2000), pp. 37-42 A. Parikh, M. Kandemir, N. Vijaykrishnan and M. J. Irwin, 2000, "Instruction Scheduling Based on Energy and Performance Constraints", Proceedings of the IEEE CS Annual Workshop on VLSI (WVLSI 2000), pp. 53-58 L. Tao, L. John, N. Vijaykrishnan, A. Sivasubramaniam, A. Murthy and J. Sabarinathan, 2000, "Using Complete System Simulation to Characterize SPECjvm98 Benchmarks", Proceedings of the International Conference on Supercomputing (ICS '00), pp. 22-33 M. Kandemir, N. Vijaykrishnan, M. J. Irwin and W. Ye, 2000, "Influences of Compiler Optimizations on System Power", Proceedings of Thirty-Seventh Design Automation Conference (DAC '00), pp. 304-307 W. Ye, N. Vijaykrishnan, M. Kandemir and M. J. Irwin, 2000, "The Design and Use of SimplePower: A Cycle-Accurate Energy Estimation Tool", Proceedings of Thirty-Seventh Design Automation Conference (DAC'00), pp. 340-345 N. Vijaykrishnan, M. Kandemir, M. J. Irwin, H. S. Kim and W. Ye, 2000, "Energy-Driven Integrated Hardware-Software Optimization Using SimplePower", Proceedings of the Twenty-Seventh Annual International Symposium on Computer Architecture (ISCA-2000), pp. 95-106 M. Kandemir, N. Vijaykrishnan, M. J. Irwin and H. S. Kim, 2000, "Towards Energy Aware Iteration Space Tiling", Proceedings of ACM Workshop on Languages, Compilers, and Tools for Embedded Systems (LCTES 2000), 1985, pp. 211-215 G. Esakkimuthu, N. Vijaykrishnan, M. Kandemir and M. J. Irwin, 2000, "Memory System Energy: Influence of Hardware-Software Optimizations", Proceedings of ISLPED'2000, pp. 244-246 M. Kandemir, N. Vijaykrishnan, M. J. Irwin and H. S. Kim, 2000, "Experimental Evaluation of Energy Behavior of Iteration Space Tiling", Proceedings of the Thirteenth Annual Workshop on Languages and Compilers for Parallel Computing (LCPC'00), 2017, pp. 142-157 R. Athavale, N. Vijaykrishnan and M. Kandemir, 2000, "Annotation Based Energy Optimization Using Array Interleaving", Proceedings of the Second Annual Workshop on Hardware Support for Objects and Microarchitectures for Java, pp. 16-20 D. Duarte, M. J. Irwin and N. Vijaykrishnan, 2000, "Modeling Energy of the Clock Generation and Distribution Circuitry", Proceedings of the International Conference on ASIC, pp. 261-265 V. Lyuboslavsky, B. Bishop, N. Vijaykrishnan and M. J. Irwin, 2000, "Design of Databus Charge-Recovery Mechanism", Proceedings of the International Conference on ASIC, pp. 283-287 M. J. Irwin, M. Kandemir, N. Vijaykrishnan and A. Sivasubramaniam, 2000, "A Holistic Approach to System Level Energy Optimization", Proceedings of the Tenth International Workshop on Power and Timing Modeling, Optimization and Simulation (PATMOS 2000), 1918, pp. 88-107 H. S. Kim, M. J. Irwin, N. Vijaykrishnan and M. Kandemir, 2000, "Effect of Compiler Optimizations on Memory Energy", Proceedings of IEEE Workshop on Signal Processing Systems (SiPS '00), pp. 663-672 V. De La Luz, M. Kandemir, N. Vijaykrishnan and M. J. Irwin, 2000, "Energy-Oriented Compiler Optimizations for Partitioned Memory Architectures", Proceedings of the Third International Conference on Compilers, Architecture and Synthesis for Embedded Systems (CASES 2000), pp. 138-147 J. Juran, A. R. Hurson, N. Vijaykrishnan and S. Boonsiriwattanakul, 2000, "Data Organization and Retrieval on Parallel Air Channels: Performance and Energy Issues", Proceedings of the Seventh International Conference on High Performance Computing (HiPC 2000), 1970, pp. 501-510 A. Parikh, M. Kandemir, N. Vijaykrishnan and M. J. Irwin, 2000, "Instruction Scheduling", Proceedings of the Seventh International Conference on High Performance Computing (HiPC 2000), 1970, pp. 335-344 Kaisheng Ma, Xueqing Li, Srivatsa Rangachar Srinivasa, Yongpan Liu, Yuan Xie, John Sampson and Vijaykrishnan Narayanan, , "Spendthrift: Machine Learning Based Resource and Frequency Scaling for Ambient Energy Harvesting Nonvolatile Processors", pp. 678-683 F.-K. Hsueh, H.-Y. Chiu, C.-H. Shen, J.-M. Shieh, Y.-T. Tang, C.-C. Yang, H.-C. Chen, W.-H. Huang, B.-Y. Chen, K.-M. Chen, G.-W. Huang, W.-H. Chen, K.-H. Hsu, S. .R Srinivasa, N. Jao, A. Lee, H. Lee, Vijaykrishnan Narayanan, K.-L. Wang, M.-F. Chang and W.-K. Yeh, , "TSV-free FinFET-based Monolithic 3D+-IC with Computing-in-Memory SRAM Cell for Intelligent IoT Devices" Manuscripts Y. Xiao, C. Zhang, Kevin M Irick, J. Sampson and Vijaykrishnan Narayanan, 2014, "A Task-oriented Vision System" E. Swankowski, N. Vijaykrishnan, R. Brooks, M. Kandemir and M. J. Irwin, , "Symmetric Encryption in Reconfigurable and Custom Hardware", International Journal of Embedded Systems E. Lattanzi, A. Bogliolo, A. Gayasen, M. Kandemir, N. Vijaykrishnan and L. Benini, , "Improving Java Performance Using Dynamic Method Migration on FPGAs", International Journal of Embedded Systems E. Reddy Sundar Syam, V. Chandrasekhar, M. Sashikanth, V. Kamakoti and Vijaykrishnan Narayanan, , "Cluster-based Detection of SEU-caused Errors in LUTs of SRAM-based FPGAs" Other Huichu Liu, Ramesh Vaddi, Vijaykrishnan Narayanan and Suman Datta, 2016, "Power rectifier using tunneling field effect transistor" K. Irick, T. Theocharides, N. Vijaykrishnan and M. J. Irwin, 2006, "Real Time Embedded Face Detection", pp. 6 E. Reddy Sundar Syam, V. Chandrasekhar, M. Sashikanth, V. Kamakoti and N. Vijaykrishnan, 2005, "A CLB Architecture for Online Correction of SEU-based Errors in LUTs of SRAM-based FPGAs" E. Reddy Sundar Syam, V. Chandrasekhar, M. Sashikanth, V. Kamakoti and N. Vijaykrishnan, 2005, "Efficient Methodology for Detection and Correction of SEU-based Interconnect Errors in FPGAs using Partial Reconfiguration" Research Projects Honors and Awards Service Service to Penn State: Service to External Organizations: diff --git a/src/data/compiled_bios/1519.txt b/src/data/compiled_bios/1519.txt new file mode 100644 index 0000000000..8f0d018bcc --- /dev/null +++ b/src/data/compiled_bios/1519.txt @@ -0,0 +1 @@ + Rebecca Passonneau Professor Affiliation(s): School of Electrical Engineering and Computer Science Computer Science and Engineering W318 Westgate Building rjp49@cse.psu.edu 814-865-9233 Personal or Departmental Website Research Areas: Education BA, Linguistics, University of Chicago, 1974 MA, Linguistics, University of Chicago, 1976 Ph D, Linguistics, University of Chicago, 1985 Publications Book, Chapters Collin Baker, Christiane Fellbaum and Rebecca Passonneau, , Semantic Annotation of MASC, Springer, pp. 24 Journal Articles Rebecca Passonneau, Ananya Poddar, Gaurav Gite, Alisa Krivokapic, Dolores Pe andin, , 2018, "Wise Crowd Content Assessment and Educational Rubrics", International Journal of Artificial Intelligence in Education, 8, (1) Conference Proceedings Yanjun Gao, Patricia Davies and Rebecca Passonneau, 2018, "Automated Content Analysis: A Case Study of Computer Science Student Summaries" Yanjun Gao, Andrew Warner and Rebecca Passonneau, 2018, "PyrEval: An Automated Method for Summary Content Analysis" Yanjun Gao, Andrew Warner and Rebecca Passonneau, 2018, "PyrEval: An Automated Method for Summary Content Analysis" Qian Yang, Rebecca Passonneau and Gerard de Melo, 2016, "PEAK: Pyramid Evaluation via Automated Knowledge Extraction" Other Rebecca Passonneau, Danielle MacNamara, Smaranda Muresan and Dolores Perin, 2017, "Special Issue on Multidisciplinary Approaches to Reading and Writing Integrated with Disciplinary Education, Part 1", International Journal of Artificial Intelligence in Education, 27, (4) Rebecca Passonneau, Danielle MacNamara, Smaranda Muresan and Dolores Perin, 2017, "Special Issue on Multidisciplinary Approaches to Reading and Writing Integrated with Disciplinary Education, Part 2", International Journal of Artificial Intelligence in Education, 28, (1) Research Projects Honors and Awards Service Service to Penn State: Service to External Organizations: diff --git a/src/data/compiled_bios/152.txt b/src/data/compiled_bios/152.txt new file mode 100644 index 0000000000..ad09456e7e --- /dev/null +++ b/src/data/compiled_bios/152.txt @@ -0,0 +1 @@ + About Us CoMotion Mission CoMotion Team Privacy Policy What We Do IP Advising, Protection & Licensing Innovation Training Funding & Partnerships Startups & Incubation Material Transfer Agreements Student Resources Mentorship CoMotion Labs MakerSpace Licensing UW Innovations Search Available Technologies Our Impact Startups Partners 26 UW Innovations Success Stories Work With Us Investors Researchers Mentors Sponsors Careers Interns Events Upcoming Events Event Rental Request News CoMotion Blog CoMotion in the News Fact Sheets and Logos Press Releases Contact Us University of Washington University of Washington Menu UW Home My UW Maps Calendar Directory Libraries About Us CoMotion Team CoMotion Mission CoMotion Team Privacy Policy Our Talented Team Robyn Adams Associate Director, Patents 206-543-3970 radams4@uw.edu View Bio Robyn Adams Associate Director, Patents 206-543-3970 radams4@uw.edu Devon Bacon IT Manager 206-616-6080 dbacon@uw.edu View Bio Devon Bacon IT Manager 206-616-6080 dbacon@uw.edu Forest Bohrer SENIOR TECHNOLOGY MANAGER, ENGINEERING 206-543-1134 fbohrer@uw.edu View Bio Forest Bohrer SENIOR TECHNOLOGY MANAGER, ENGINEERING 206-543-1134 fbohrer@uw.edu Forest Bohrer joined CoMotion in May of 2014, focusing on innovations in chemistry, materials, and engineering. His portfolio includes technologies in the fields of sensors, functional coatings, clean energy, and organic electronics. He received his PhD in inorganic chemistry from the University of California, San Diego, studying organic semiconductors for chemical sensing and organic field effect transistor (OFET) development. As a senior scientist in advanced development for aerospace, defense, and marine markets at TE Connectivity, he developed nanocarbon conductors, chemical sensors for hydrazines and aerospace fuels, and selective metallization processes for electromagnetic interference (EMI) shielding, sensing, and conformal antennas. He earned a BS in chemistry from the University of California, Davis. Gaia Borgias PROGRAM MANAGER, MOBILITY INNOVATION CENTER 206-685-4478 gaiab@uw.edu View Bio Gaia Borgias PROGRAM MANAGER, MOBILITY INNOVATION CENTER 206-685-4478 gaiab@uw.edu Gaia Borgias joined CoMotion as Program Manager for the Mobility Innovation Center. Previously Ms. Borgias held an external relations role in the College of Engineering where she promoted interdisciplinary faculty research in aerospace and space applications, as well as advanced manufacturing and robotics. Her career has included professional roles in advertising, manufacturing, consulting and non-profit management. She has a personal interest the future of human mobility and currently volunteers as vice-chair of the Museum of Flight Future Leaders Team. She is also supports K-8 innovation learning through educational programs like Invent Washington. Ms. Borgias earned a Bachelors of Science in Design Management from the Art Institute of Portland in 2007 and is enrolled in a Leadership MBA program at the University of Washington. In 2013, she was named one of 20 under 40 by Inland Business Catalyst magazine. Debra Bouchegnies CoMotion Marketing Manager 206-221-8734 dbouch@uw.edu View Bio Debra Bouchegnies CoMotion Marketing Manager 206-221-8734 dbouch@uw.edu Kayley Brown Operations Specialist, Innovation Development 206-685-2063 Kayleb2@uw.edu View Bio Kayley Brown Operations Specialist, Innovation Development 206-685-2063 Kayleb2@uw.edu Ryan Buckmaster SENIOR TECHNOLOGY MANAGER, ENGINEERING 206-685-3862 rbuckmas@uw.edu View Bio Ryan Buckmaster SENIOR TECHNOLOGY MANAGER, ENGINEERING 206-685-3862 rbuckmas@uw.edu Ryan Buckmaster has been with CoMotion since 2010 and focuses on new technologies and innovations in the microelectronics, optics, materials and medical device areas. Prior to joining CoMotion, he worked in the semiconductor fabrication industry. He did his graduate work at Tohoku University on the development of novel nanostructure fabrication methods, and at the University of Washington on optical spectroscopy based real-time single cell analysis systems. He has a B.S. in Chemical Engineering from the University of Washington and a M.S. in Materials Science from Tohoku University in Sendai, Japan. Sara Burmeister FINANCIAL OPERATIONS MANAGER 206-685-0154 sarajane@uw.edu View Bio Sara Burmeister FINANCIAL OPERATIONS MANAGER 206-685-0154 sarajane@uw.edu Iris Castillo TECHNOLOGY MANAGEMENT ADMINISTRATOR 206-616-0575 irisc11@uw.edu View Bio Iris Castillo TECHNOLOGY MANAGEMENT ADMINISTRATOR 206-616-0575 irisc11@uw.edu Samantha Cayabyab TECHNOLOGY MANAGEMENT ADMINISTRATOR 206-685-7158 sncayabs@uw.edu View Bio Samantha Cayabyab TECHNOLOGY MANAGEMENT ADMINISTRATOR 206-685-7158 sncayabs@uw.edu Patrick Chinkiwsky Patent Portfolio Manager 206-221-8286 pchin@uw.edu View Bio Patrick Chinkiwsky Patent Portfolio Manager 206-221-8286 pchin@uw.edu Laura Dorsey SENIOR TECHNOLOGY MANAGER, ENGINEERING AND SCIENCES 206-685-6790 ldorsey@uw.edu View Bio Laura Dorsey SENIOR TECHNOLOGY MANAGER, ENGINEERING AND SCIENCES 206-685-6790 ldorsey@uw.edu Magali Eaton Innovation Training Program Manager dienym@uw.edu View Bio Magali Eaton Innovation Training Program Manager dienym@uw.edu Ro Eisenkot SENIOR TECHNOLOGY MANAGER, BIOENGINEERING 206-897-1982 roieisen@uw.edu View Bio Ro Eisenkot SENIOR TECHNOLOGY MANAGER, BIOENGINEERING 206-897-1982 roieisen@uw.edu Ro Eisenkot joined CoMotion in 2014, where he manages a portfolio of diagnostic and therapeutic bioengineering technologies. Before, he spent six years at T3, the technology transfer arm of Technion Israel Institute of Technology, where he led business development in the Physical Sciences, and initiated and structured deals as lead deal-maker for Technion with partners at various levels. Before that, he worked as Application Engineer for Dune Medical Devices. He managed Dunes clinical site at Anne Arundel Medical Center in Annapolis, Maryland, and co-modeled Dunes reimbursement plan for the US market. He holds an MBA with emphasis on strategy and entrepreneurship and a degree in biomedical engineering (summa cum laude) from Technion. Erimie Elias Fiscal Specialist 206-221-1579 erimie@uw.edu View Bio Erimie Elias Fiscal Specialist 206-221-1579 erimie@uw.edu Jeanette Ennis ASSOCIATE DIRECTOR OF INNOVATION INVESTMENT 206-616-2848 jmgennis@uw.edu View Bio Jeanette Ennis ASSOCIATE DIRECTOR OF INNOVATION INVESTMENT 206-616-2848 jmgennis@uw.edu Jeanette Ennis supports UW researchers pursuing grant money to commercialize their innovations, and helps CoMotion secure economic development grant opportunities. Ennis joined CoMotion in 2009 after more than 15 years of broad research experience as a scientist, entrepreneur, and manager. Her areas of expertise include pharmacology, biochemistry, molecular biology, tissue engineering, and medical devices. She has worked with a variety of start-up companies as project manager, grant writer, and intellectual property manager, and held senior research positions at Cornell University and the UW Department of Cardiothoracic Surgery. She earned a doctorate in medical and molecular pharmacology from the University of California, Los Angeles, where she trained with Louis Ignarro, Nobel Laureate in Physiology. She also holds a certificate in technical writing and editing from the UW Department of Human Centered Design & Engineering. Ashlee Esteban CoMotion Labs Senior Manager; CoMotion Labs Manager @ Startup Hall 206-897-8278 aesteban@uw.edu View Bio Ashlee Esteban CoMotion Labs Senior Manager; CoMotion Labs Manager @ Startup Hall 206-897-8278 aesteban@uw.edu Maryn Gerdes Human Resources Manager 206-543-3970 mar555@uw.edu View Bio Maryn Gerdes Human Resources Manager 206-543-3970 mar555@uw.edu Johnathon Giang Contract Manager 206-616-9844 johngq@uw.edu View Bio Johnathon Giang Contract Manager 206-616-9844 johngq@uw.edu Bob Glass Software Engineer 206-543-9044 rlglass@uw.edu View Bio Bob Glass Software Engineer 206-543-9044 rlglass@uw.edu Kerry Godes Assistant Vice President for Advancement kgodes@uw.edu View Bio Kerry Godes Assistant Vice President for Advancement kgodes@uw.edu Anna Godornes Fiscal Specialist II 206 543-8112 godornes@uw.edu View Bio Anna Godornes Fiscal Specialist II 206 543-8112 godornes@uw.edu Xuny Haley CoMotion Labs Manager @CoMotion HQ 206-221-7610 xunyh@uw.edu View Bio Xuny Haley CoMotion Labs Manager @CoMotion HQ 206-221-7610 xunyh@uw.edu Caroline Hansen EVENTS COORDINATOR cshansen@uw.edu View Bio Caroline Hansen EVENTS COORDINATOR cshansen@uw.edu Dennis Hanson SENIOR TECHNOLOGY MANAGER, LIFE SCIENCES 206-543-0430 hansonda@uw.edu View Bio Dennis Hanson SENIOR TECHNOLOGY MANAGER, LIFE SCIENCES 206-543-0430 hansonda@uw.edu Dennis Hanson started in academic technology transfer in mid-2007 at the University of Washington, and enjoyed a two-year stint at Oregon Health & Science Universitys tech transfer office from 2012-2014. Prior to a career in tech transfer, he was a scientist in both academia and the biotech industry, performing research in a wide range of fields, from immunology to cell biology, intracellular signal transduction to extracellular matrix protein biochemistry. He has a BS from the University of Washington in Molecular and Cellular Biology, and a PhD from Stanford University in Immunology. Tina Huang Federal Compliance Manager 206-616-9440 virutax@uw.edu View Bio Tina Huang Federal Compliance Manager 206-616-9440 virutax@uw.edu Christine Hurdle INTELLECTUAL PROPERTY PARALEGAL 206-543-9815 cah34@uw.edu View Bio Christine Hurdle INTELLECTUAL PROPERTY PARALEGAL 206-543-9815 cah34@uw.edu Vikram Jandhyala Vice President for Innovation Strategy, UW; Executive Director, UW CoMotion 206-543-0905 vj@uw.edu View Bio Vikram Jandhyala Vice President for Innovation Strategy, UW; Executive Director, UW CoMotion 206-543-0905 vj@uw.edu Vikram Jandhyala is Vice President for Innovation Strategy at the University of Washington. He is Executive Director of CoMotion, UWs collaborative innovation hub, and the UW co-CEO of the Global Innovation Exchange (GIX). He is a Professor and former Chair in the Department of Electrical Engineering, and an Adjunct Professor in the Information School. Vikram Jandhyala received the BTech in electrical engineering from the Indian Institute of Technology, Delhi in 1989, and the MS and PhD degrees in electrical engineering from the University of Illinois at Urbana-Champaign in 1995 and 1998, respectively. After spending two years in the design automation industry at Ansoft Corporation (acquired by Ansys), he joined UW EE in 2000. His research, which has led to more than 200 papers and several PhD students at top R&D positions has been funded by DARPA, semiconductor industries, national labs, Department of Defense, Department of Energy, and National Science Foundation, including an NSF CAREER award, and has received awards from UIUC, IEEE, UW, and NASA. He founded, along with his students in 2006, Nimbic, a venture-backed simulation company which was acquired by Mentor Graphics in 2014. He was founding UW director of the UW-PNNL northwest institute for advanced computing (NIAC) from 2012 to 2014. He was chair of the UW EE department from 2011 to 2014, led the UW EE professional masters program as faculty director through early growth in 2009 and 2010, and was an inaugural UW presidential entrepreneurial faculty fellow in 2011. His current interests are in the science and art of innovation, entrepreneurial and design thinking, educational innovation, social and organizational networks, and computational and data science. Karen Leikin Assistant Director of Special Events 206-616-9540 krleikin@uw.edu View Bio Karen Leikin Assistant Director of Special Events 206-616-9540 krleikin@uw.edu Lara Littlefield Associate Vice President for Innovation Strategy 206-685-6964 laralitt@uw.edu View Bio Lara Littlefield Associate Vice President for Innovation Strategy 206-685-6964 laralitt@uw.edu Lara Littlefield is Associate Vice President for Innovation Strategy at CoMotion and the Global Innovation Exchange, and also leads business development for both organizations. With over 20 years of experience in resource development, she also oversees CoMotions operations, Labs, and innovation investment programs. Prior to CoMotion and GIX, Ms. Littlefield was the Senior Director of Advancement at the University of Washington where she was responsible for the ongoing strategic design, oversight and implementation of the UWs California advancement program. Prior to this, she was a Principal at Collins Group, where she consulted with over 50 nonprofit organizations across the arts, education, environment, health and human social service sectors. She is President for the Association of Fundraising Professionals Washington Chapter and holds an M.P.A. and Certificate in Fundraising Management from the University of Washington and a B.A. from Evergreen State College. James Lowry Agreements Officer 206-543-3970 jrlowry@uw.edu View Bio James Lowry Agreements Officer 206-543-3970 jrlowry@uw.edu Anna Marek Intellectual Property Paralegal amarek2@uw.edu View Bio Anna Marek Intellectual Property Paralegal amarek2@uw.edu Originally from Grand Rapids, Michigan, I earned my B.A. in History with an American Studies Concentration from Kalamazoo College and spent a semester studying abroad at Curtin University in Perth, Australia. While at Kalamazoo College, I researched and wrote the nomination for a college owned farmhouse to be added to the National Register of Historic Places. After moving to Seattle, I obtained a Paralegal Certificate from Edmonds Community College. Most recently, I worked at AMPACC Law Group, PLLC, where I spent two and a half years as an Intellectual Property Legal Assistant and Docketing Specialist. Jennifer McCullar SENIOR TECHNOLOGY MANAGER, LIFE SCIENCES 206-543-6861 mccullaj@uw.edu View Bio Jennifer McCullar SENIOR TECHNOLOGY MANAGER, LIFE SCIENCES 206-543-6861 mccullaj@uw.edu Jennifer McCullar manages a diverse life sciences portfolio. She joined CoMotion in 2010 after completing a post-doctoral position at the University of Washington, where she worked on identifying cell signaling pathways integral to regeneration in the inner ear. She earned her doctorate in Molecular and Cellular Biology at Oregon State University and is currently a co-organizer for Science on Tap, a monthly public lecture series. She also holds a Masters in Animal Science. Kelly Meinig Digital Content and Database Innovation Manager 206-543-4611 kmeinig@uw.edu View Bio Kelly Meinig Digital Content and Database Innovation Manager 206-543-4611 kmeinig@uw.edu Kelly Meinig joined CoMotion in 2019 focusing on innovations related to content, software, databases, web services, and other digital media. She thoroughly enjoys the full lifecycle challenge of bringing innovation to market, from the spark of an idea to commercialization. Prior to joining CoMotion, Ms. Meinig worked for a private firm as a Senior IT Product Manager, Project Manager and BA providing custom, Software-as-a-Service (SaaS) applications and business solutions across numerous sectors. Prior to this, she founded, secured funding for, and launched a Data-as-a-Service (DaaS) internet startup focused on improving waste management in the U.S., co-founded a 501c3 to promote evidence-based healthcare (also a DaaS model), and was a Project Manager for the U.S. Army Corps of Engineers cleaning up hazardous waste sites. Ms. Meinig earned a B.S. in Mechanical Engineering from the University of Maryland, did graduate work in Environmental Engineering at the University of Washington, is licensed as a Mechanical Engineer, and holds two patents one in a commercial healthcare product, and a second in database management. Gretchen Musgrove Amazon Catalyst Marketing and Communications Manager gsorrels@uw.edu View Bio Gretchen Musgrove Amazon Catalyst Marketing and Communications Manager gsorrels@uw.edu Ken Myer COMMERCIALIZATION ADVISOR 206-321-3736 myerk@uw.edu View Bio Ken Myer COMMERCIALIZATION ADVISOR 206-321-3736 myerk@uw.edu Ken Myer works with UW researchers, students, staff, and CoMotion Labs startups to provide education on the commercialization process and hands-on advice on commercialization questions or challenges. Ken is an interim executive and advisor to commercial and non-profit organizations, providing both strategic and hands-on assistance to companies in transition. For more than 25 years, he has helped launch or turn around companies that ranged in size from startups to Fortune 100. His professional career includes executive positions at IBM, Active Voice, TeleSym, Washington Technology Industry Association, as well as cofounding Interval Systems. Ken has been recognized as one of Seattles most influential business leaders according to Seattle Magazine, and was twice recognized for leading a best company to work for from Seattle Business Magazine and the Puget Sound Business Journal. He holds an MBA and MA from the University of Washington and teaches Leadership at the UW Foster School of Business. He currently serves on the boards of AnswerDash and the Washington Trails Association. Lisa Norton ASSOCIATE DIRECTOR, TECHNOLOGY LICENSING 206-616-6918 lnorton@uw.edu View Bio Lisa Norton ASSOCIATE DIRECTOR, TECHNOLOGY LICENSING 206-616-6918 lnorton@uw.edu Lisa Norton manages a portfolio of medical devices and biomaterials technologies, with a primary focus on ultrasound and medical imaging. She works with UW innovators to define intellectual property rights, evaluate marketing and regulatory processes, create commercialization strategies, and license their technologies. Before joining CoMotion in May 2004, she was a Senior Applications Scientist at Combimatrix, a Washington biotech startup. After completing a BS in biomedical engineering at Cornell University, she worked at the University of Washington in the Department of Medical Genetics prior to pursuing graduate work. She earned a PhD in cell biology and biotechnology from the University of Virginia. Donna ONeill ASSOCIATE DIRECTOR OF MARKETING & COMMUNICATIONS 206-685-9972 donnao3@uw.edu View Bio Donna ONeill ASSOCIATE DIRECTOR OF MARKETING & COMMUNICATIONS 206-685-9972 donnao3@uw.edu With over 25 years in marketing and communications, Donna brings a wealth of knowledge in strategic communications, storytelling, media relations and marketing. Most recently, she was Vice President at Waggener Edstrom Communications where she worked most closely with Microsoft leading the Microsoft Commercial Analyst Relations team. In additi on, she led the communications team representing Caradigm, a joint venture between Microsoft and GE Healthcare, and prior to that led the Microsoft Health Solutions Group communications team, which included Microsofts enterprise health intelligence platform. She has plied her trade across several industries including high tech, healthcare and financial services. In her free time, Donna enjoys playing tennis, outdoor activities, and spending time with her family. Catherine Opie ADMINISTRATIVE ASSISTANT TO THE VICE PRESIDENT FOR INNOVATION STRATEGY 206-543-4387 opiec@uw.edu View Bio Catherine Opie ADMINISTRATIVE ASSISTANT TO THE VICE PRESIDENT FOR INNOVATION STRATEGY 206-543-4387 opiec@uw.edu Jeremy Puma PROGRAM COORDINATOR, INNOVATION INVESTMENTS 206-221-7893 jvpuma@uw.edu View Bio Jeremy Puma PROGRAM COORDINATOR, INNOVATION INVESTMENTS 206-221-7893 jvpuma@uw.edu Jean Reilly PROGRAM COORDINATOR, AGREEMENTS 206-685-0553 jeanr4@uw.edu View Bio Jean Reilly PROGRAM COORDINATOR, AGREEMENTS 206-685-0553 jeanr4@uw.edu Uly Rivera CoMotion Labs Manager @ Fluke Hall 206-221-8455 urivera@uw.edu View Bio Uly Rivera CoMotion Labs Manager @ Fluke Hall 206-221-8455 urivera@uw.edu Uly has been involved in the Seattle startup scene for the last five years in both marketing and operations capacities. He laid the foundations of car2go in Seattle and most recently worked for a biotech startup overseeing marketing and operations. Outside of work Uly is an avid sports fan and accumulating random facts. Brady Ryan CoMotion Labs Manager, Spokane 253-230-0818 bsryan@uw.edu View Bio Brady Ryan CoMotion Labs Manager, Spokane 253-230-0818 bsryan@uw.edu Sarica Sampson ANALYST 206-685-3671 ssampson@uw.edu View Bio Sarica Sampson ANALYST 206-685-3671 ssampson@uw.edu Greg Schlimm WEB COMPUTER SPECIALIST 206-221-5540 gschlimm@uw.edu View Bio Greg Schlimm WEB COMPUTER SPECIALIST 206-221-5540 gschlimm@uw.edu Amy Simmonsen TECHNOLOGY MANAGEMENT ADMINISTRATOR 206-616-9843 amysimm@uw.edu View Bio Amy Simmonsen TECHNOLOGY MANAGEMENT ADMINISTRATOR 206-616-9843 amysimm@uw.edu Scott Smith COPYRIGHT AND TRADEMARK MANAGER 206-616-3272 ssmith73@uw.edu View Bio Scott Smith COPYRIGHT AND TRADEMARK MANAGER 206-616-3272 ssmith73@uw.edu Scott Smith manages all aspects of trademark and copyright prosecution and maintenance. He works closely with UW researchers, the director of technology licensing, technology managers, and the agreements group to ensure proper protection for the UWs intellectual property. Prior to joining CoMotion, he was an intellectual property attorney at various boutique intellectual property law firms, focusing on intellectual property prosecution and management. He earned a B.S. in Microbiology and Molecular Genetics from UCLA, an M.S. in Biomedical Sciences from the University of Glasgow, and a J.D. from Loyola of Los Angeles Law School. Krystyna Szul PATENT PORTFOLIO MANGER 206-616-6533 krystyna@uw.edu View Bio Krystyna Szul PATENT PORTFOLIO MANGER 206-616-6533 krystyna@uw.edu Krystyna Szul guides and coordinates development and protection of intellectual property. She works with students, faculty, and staff as well as with outside entities, including start-up companies, legal counsel, and venture capital firms. Krystyna comes to CoMotion from Physio-Control, now part of Stryker, where she developed and maintained global patent and trademark portfolios in several technology areas, supported inventors in cross-functional teams, and managed a broad range of business aspects of intellectual property. She earned B.S. in Chemical Engineering from the University of Washington, and completed a four-year Washington State Bar Association APR 6 Law Clerk program. Krystyna is a USPTO-registered patent agent since 2007. Tom Tidyman EXECUTIVE ASSISTANT 206-616-5362 ttidyman@uw.edu View Bio Tom Tidyman EXECUTIVE ASSISTANT 206-616-5362 ttidyman@uw.edu Elaine Tobin COMOTION COMMUNITY MANAGER 206-543-3970 elainet9@uw.edu View Bio Elaine Tobin COMOTION COMMUNITY MANAGER 206-543-3970 elainet9@uw.edu Elaine Tobin joined CoMotion in April 2011 as an Intellectual Property Program Coordinator. In June 2014, she became CoMotions HR Specialist and Office Manager and is currently the CoMotion Community Manager. Andrea Valladao TECHNOLOGY MANAGER, LIFE SCIENCES 206-543-8037 valladao@uw.edu View Bio Andrea Valladao TECHNOLOGY MANAGER, LIFE SCIENCES 206-543-8037 valladao@uw.edu Andrea Valladao joined CoMotion in March of 2016, focusing on innovations in the life sciences and managing the Biological Materials portfolio. While completing her graduate studies, Andrea served as a Technology Licensing fellow at CoMotion where she evaluated the patentability of academic technologies. Andrea received her PhD in Immunology from the University of Washington, where she studied the allergic airway responses to fungal pathogens. Prior to graduate school, she worked as a research associate at Roche Palo Alto and MedImmune studying the immune mechanisms governing the development of obstructive pulmonary disorders and protection to influenza. Andrea earned a BS in microbiology from the University of Texas at El Paso. Fiona Wills ASSISTANT VICE PRESIDENT, INNOVATION DEVELOPMENT 206-685-2268 fwills@uw.edu View Bio Fiona Wills ASSISTANT VICE PRESIDENT, INNOVATION DEVELOPMENT 206-685-2268 fwills@uw.edu Fiona Wills has been with CoMotion since March 2003. Her responsibilities have included evaluating, patenting, and licensing technologies both to established biotechnology companies and to UW startups. Prior to joining CoMotion, she worked for the business development department of Molecular Probes, engaged in both in-licensing and out-licensing activities for the research reagent and diagnostic markets. She has also worked in the health technology assessment field, providing healthcare funding agencies with evaluations of new and emerging medical technologies. Chue Yang OPERATIONS MANAGER, COMOTION MAKERSPACE chueny@uw.edu View Bio Chue Yang OPERATIONS MANAGER, COMOTION MAKERSPACE chueny@uw.edu CoMotion Fast Facts $12.5 B UWs annual economic impact on the state of Washington University of Washington Economic Impact Report #1 Most innovative public university in the world Reuters Top 100: The World's Most Innovative Universities - 2018 #7 In nation for number of startups launched Association of University Technology Managers #7 Best University for Technology Transfer Milken Institutes Concept to Commercialization: The Best Universities for Technology Transfer #22 Top Worldwide Universities Granted U.S. Utility Patents The National Academy of Inventors (NAI) and the Intellectual Property Owners Association (IPO) 86 # of startups and spinouts created in last five years by UW technology Association of University Technology Managers $12.5 B UWs annual economic impact on the state of Washington University of Washington Economic Impact Report #1 Most innovative public university in the world Reuters Top 100: The World's Most Innovative Universities - 2018 University of Washington Be boundless Connect with us: Facebook Twitter Instagram Tumblr YouTube LinkedIn Pinterest Vine Google+ Accessibility Contact Us Jobs Campus Safety My UW Rules Docket Privacy Terms 2016 University of Washington | Seattle, WA Jeanette Ennis Associate Director of Innovation Investment 206-616-2848 jmgennis@uw.edu Jeanette Ennis supports UW researchers pursuing grant money to commercialize their innovations, and helps CoMotion secure economic development grant opportunities. Ennis joined CoMotion in 2009 after more than 15 years of broad research experience as a scientist, entrepreneur, and manager. Her areas of expertise include pharmacology, biochemistry, molecular biology, tissue engineering, and medical devices. She has worked with a variety of start-up companies as project manager, grant writer, and intellectual property manager, and held senior research positions at Cornell University and the UW Department of Cardiothoracic Surgery. She earned a doctorate in medical and molecular pharmacology from the University of California, Los Angeles, where she trained with Louis Ignarro, Nobel Laureate in Physiology. She also holds a certificate in technical writing and editing from the UW Department of Human Centered Design & Engineering. diff --git a/src/data/compiled_bios/1520.txt b/src/data/compiled_bios/1520.txt new file mode 100644 index 0000000000..f5d2354a3f --- /dev/null +++ b/src/data/compiled_bios/1520.txt @@ -0,0 +1 @@ + Susan Quick Assistant Teaching Professor Affiliation(s): School of Electrical Engineering and Computer Science Computer Science and Engineering W112 Westgate Building slh9@psu.edu 814-865-9507 Research Areas: diff --git a/src/data/compiled_bios/1521.txt b/src/data/compiled_bios/1521.txt new file mode 100644 index 0000000000..fb9711b010 --- /dev/null +++ b/src/data/compiled_bios/1521.txt @@ -0,0 +1 @@ + David Salvia Director of Academic Affairs and Associate Teaching Professor Affiliation(s): School of Electrical Engineering and Computer Science Electrical Engineering Computer Science and Engineering 114 Electrical Engineering East ads102@psu.edu 814-865-7227 Personal or Departmental Website Research Areas: Interest Areas: Digital signal processing, Communications, Undergraduate academic advisor. Education BS, Electrical Engineering, The Pennsylvania State University, 1987 MS, Electrical Engineering, The Pennsylvania State University, 1995 Publications Research Projects Honors and Awards Service Service to Penn State: Service to External Organizations: diff --git a/src/data/compiled_bios/1522.txt b/src/data/compiled_bios/1522.txt new file mode 100644 index 0000000000..92380557f4 --- /dev/null +++ b/src/data/compiled_bios/1522.txt @@ -0,0 +1 @@ + John Sampson Assistant Professor Affiliation(s): School of Electrical Engineering and Computer Science Computer Science and Engineering W324 Westgate Building jms1257@psu.edu 814-863-7323 Research Areas: Education BS, Electrical Engineering and Computer Sciences, 2002 Ph D, Computer Science (Computer Engineering), 2010 Publications Journal Articles Kaisheng Ma, Jinyang Li, Xueqing Li, Yongpan Liu, Yuan Xie, Mahmut T Kandemir, John Sampson and Vijaykrishnan Narayanan, 2018, "IAA: Incidental Approximate Architectures for Extremely Energy Constrained Energy Harvesting Scenarios using IoT Nonvolatile Processors", IEEE Micro, pp. 11-19 X. Li, S. George, Y. Liang, K. Ma, K. Ni, A. Aziz, Sumeet Gupta, John Sampson, M. F. Chang, Y. Liu, H. Yang, S. Datta and Vijaykrishnan Narayanan, 2018, "Lowering Area Overheads for FeFET-Based Energy-Efficient Nonvolatile Flip-Flops", IEEE Transactions on Electron Devices, 65, (6), pp. 2670-2674 Srivatsa Srinivasa, Xueqing Li, Meng-Fan Chang, John Sampson, Sumeet Gupta and Vijaykrishnan Narayanan, 2018, "Compact 3D-SRAM Memory with Concurrent Row and Column Data Access Capability Using Sequential Monolithic 3D integration", IEEE Transactions on VLSI, 26, (4), pp. 671-683 Sumitha George, Xueqing Li, Minli Liao, Kaisheng Ma, Srivatsa Srinivasa, Karthik Mohan, Ahmedullah Aziz, John Sampson, Sumeet Gupta and Vijaykrishnan Narayanan, 2018, "Symmetric 2D-Memory Access to Multi-Dimensional Data", IEEE Transactions on VLSI, 26, (6), pp. 1040-1050 Xueqing Li, John Sampson, Asif Khan, Kaisheng Ma, Sumitha George, Ahmedullah Aziz, Sumeet Gupta, Sayeef Salahuddin, Meng-Fan Chang, Suman Datta and Vijaykrishnan Narayanan, 2017, "Enabling Energy-Efficient Nonvolatile Computing With Negative Capacitance FET", IEEE Transactions on Electron Devices, 64, (8), pp. 34523458 Xueqing Li, Kaisheng Ma, Sumitha George, Win-San Khwa, John Sampson, Sumeet Gupta, Yongpan Liu, Meng-Fan Chang, Suman Datta and Vijaykrishnan Narayanan, 2017, "Design of Nonvolatile SRAM with Ferroelectric FETs for Energy-Efficient Backup and Restore", IEEE Transactions on Electron Devices, 64, (7), pp. 3037-3040 Xueqing Li, Sumitha George, Kaisheng Ma, Wei-Yu Tsai, Ahmedullah Aziz, John Sampson, Sumeet Gupta, Meng-Fan Chang, Yongpan Liu, Suman Datta and Vijaykrishnan Narayanan, 2017, "Advancing Nonvolatile Computing With Nonvolatile NCFET Latches and Flip-Flops", IEEE Transactions on Circuits and Systems I: Regular Papers, 64, (11), pp. 2907-2919 Wei-Yu Tsai, Davis Barch, Andrew Cassidy, Michael DeBole, Alexander Andreopoulos, Bryan Jackson, Myron Flickner, John Arthur, Dharmendra Modha, John Sampson and Vijaykrishnan Narayanan, 2017, "Always-on Speech Recognition using Low-power Audio Transform with TrueNorth Ecosystem", IEEE Transactions on Computing, 66, (6), pp. 996-1007 Siddharth Advani, Peter Zientara, Nikhil Shukla, Ikenna Okafor, Kevin M Irick, John Sampson, Suman Datta and Vijaykrishnan Narayanan, 2017, "A Multitask Grocery Assist System for the Visually Impaired: Smart glasses, gloves, and shopping carts provide auditory and tactile feedback", IEEE Consumer Electronics Magazine, 6, (1), pp. 7381 Srivatsa Srinivasa, Ahmedullah Aziz, Nikhil Shukla, Xueqing Li, Jack Sampson, Suman Datta, Jaydeep Kulkarni, Vijaykrishnan Narayanan and Sumeet Gupta, 2016, "Correlated Material Enhanced SRAMs with Robust Low Power Operation", IEEE Transactions on Electron Devices, 63, (12), pp. 4744-4752 Yang Xiao, Siddharth Advani, Donghwa Shin, Naehyuck Chang, John Sampson and Vijaykrishnan Narayanan, 2016, "A Saliency-Driven LCD Power Management System", IEEE Transactions on Very Large Scale Integration, 24, (8), pp. 2689-2702 Moon Kim, William Cane-Wissing, Xueqing Li, John Sampson, Suman Datta, Sumeet K Gupta and Vijaykrishnan Narayanan, 2016, "Comparative area and parasitics analysis in FinFET and heterojunction vertical TFET standard cells", ACM Journal on Emerging Technologies in Computing Systems, 12, (4), pp. 1-23 Moon Kim, Xueqing Li, Huichu Liu, John Sampson, Suman Datta and Vijaykrishnan Narayanan, 2016, "Exploration of Low-Power High-SFDR Current-Steering D/A Converter Design Using Steep-Slope Heterojunction Tunnel FETs", Very Large Scale Integration (VLSI) Systems, IEEE Transactions on, 24, (6), pp. 2299-2309 Kaisheng Ma, Xueqing Li, Shuangchen Li, Yongpan Liu, John Sampson, Yuan Xie and Vijaykrishnan Narayanan, 2016, "Nonvolatile Processor Architectures: Efficient, Reliable Progress with Unstable Power", IEEE MICRO, 36, (3), pp. 72-83 Wei-Yu Tsai, Xueqing Li, Matt Jerry, B. Xie, Nikhil Shukla, H. Liu, Nandhini Chandramoorthy, Matthew Cotter, A. Raychowdhury, Don Chiarulli, Steven P. Levitan, Suman Datta, John Sampson, N. Ranganathan and Vijaykrishnan Narayanan, 2016, "Enabling New Computation Paradigms with HyperFET - an Emerging Device", IEEE Transactions on Multi-Scale Computing Systems, 2, (1), pp. 30-48 Kaisheng Ma, Xueqing Li, Shuangchen Li, Yongpan Liu, John Sampson, Yuan Xie and Vijaykrishnan Narayanan, 2015, "Nonvolatile Processor Architecture Exploration for Energy-Harvesting Applications", IEEE MICRO, 35, pp. 32-40 Hsiang-Yun Cheng, Matthew Poremba, Narges Shahidi, Ivan Stalev, Mary Jane Irwin, Mahmut T Kandemir, John Sampson and Yuan Xie, 2015, "EECache: exploiting design choices in energy-efficient last-levelcaches for chip multiprocessors", ACM Transactions on Architecture and Code Optimization, 12, (2), pp. 1-22 Qiaoshi Zheng, Nathan Goulding-Hotta, Scott Ricketts, Steven Swanson, Michael Bedford Taylor and John Sampson, 2014, "Exploring Energy Scalability in Coprocessor-Dominated Architectures for Dark Silicon", ACM Transactions on Embedded Computing Systems, 13, (4s), pp. 130:1130:24 Nathan Goulding-Hotta, John Sampson, Ganesh Venkatesh, Saturnino Garcia, Joe Auricchio, Po-Chao Huang, Manish Arora, Siddhartha Nath, Vikram Bhatt, Jonathan Babb, Steven Swanson and Michael Bedford Taylor, 2011, "The GreenDroid Mobile Application Processor: An Architecture for Silicons Dark Future", IEEE MICRO, 31, (2), pp. 8695 Conference Proceedings Jinhang Choi, John Sampson and Vijaykrishnan Narayanan, 2018, "Heuristic Approximation of Early-Stage CNN Data Representation for Vision Intelligence Systems", IEEE Computer Society, pp. 1-8 Sumitha George, Minli Liao, Huaipan Jiang, Jagadish Kotra, Mahmut T Kandemir, John Sampson and Vijaykrishnan Narayanan, 2018, "MDACache: Caching for Multi-Dimensional-Access Memories", ACM, pp. 1-14 Peter Zientara, John Sampson and Vijaykrishnan Narayanan, 2018, "Noise Aware Power Adaptive Partitioned Deep Networks for Mobile Visual Assist Platforms", IEEE, pp. 1-6 Srivatsa Srinivasa, Akshay Ramanathan, Xueqing Li, Wei-Hao Chen, Fu-Kuo Hsueh, Chih-Chao Yang, Chang-Hong Shen, Jia-Min Shieh, Sumeet Gupta, Marvin Chang, Swaroop Ghosh, John Sampson and Vijaykrishnan Narayanan, 2018, "A Monolithic-3D SRAM Design with Enhanced Robustness and In-Memory Computation Support", ACM, pp. 1-6 Jinhang Choi, Srivatsa Srinivasa, Yasuki Tanabe, John Sampson and Vijaykrishnan Narayanan, 2018, "A Power-efficient Hybrid Architecture Design for Image Recognition using CNNs", IEEE Computer Society, pp. 22-27 Nicholas Jao, Akshay Ramanathan, Srivatsa Srinivasa, Sumitha George, John Sampson and Vijaykrishnan Narayanan, 2018, "Harnessing Emerging Technology for Compute-In-Memory Support", IEEE Computer Society, pp. 447-452 J. Choi, Kevin M Irick, J. Hardin, W. Qiu, A. Yuille, John Sampson and Vijaykrishnan Narayanan, 2018, "Stochastic Functional Verification of DNN Design through Progressive Virtual Dataset Generation", IEEE, pp. 1-5 Kaisheng Ma, Jinyang Li, Tongda Wu, Zhibo Wang, Xueqing Li, Yongpan Liu, Yuan Xie, Mahmut T Kandemir, John Sampson and Vijaykrishnan Narayanan, 2018, "NEOFog: Nonvolatility-Exploiting Optimizations for Fog Computing", ACM, pp. 782-796 P. A. Zientara, J. Choi, John Sampson and Vijaykrishnan Narayanan, 2018, "Drones as collaborative sensors for image recognition", IEEE, pp. 1-4 Kaisheng Ma, Xueqing Li, , Yongpan Liu, Yuan Xie, Mahmut T Kandemir, John Sampson and Vijaykrishnan Narayanan, 2017, "Incidental Approximate Computing on IoT Nonvolatile Processors", ACM, pp. 1-15 Srivatsa Rangachar Srinivasa, Karthik Mohan, Wei-Hao Chen, Kuo-Hsinag Hsu, Xueqing Li, Meng-Fan Chang, Sumeet Gupta, John Sampson and Vijaykrishnan Narayanan, 2017, "Improving FPGA Design with Monolithic 3D Integration Using High Dense Inter-Stack Via", IEEE Computer Society, pp. 128133 Wei-Yu Tsai, Jinhang Choi, Tulika , Priyanka , Chitaranjan Das, John Sampson and Vijaykrishnan Narayanan, 2017, "Co-training of Feature Extraction and Classification using Partitioned Convolutional Neural Networks", ACM, pp. 1-6 Kaisheng Ma, Xueqing Li, Srivatsa Srinivasa, Yongpan Liu, John Sampson, Yuan Xie and Vijaykrishnan Narayanan, 2017, "Spendthrift: Machine Learning Based Resource and Frequency Scaling for Ambient Energy Harvesting Nonvolatile Processors", IEEE, pp. 678-683 Wei-Yu Tsai, Davis Barch, Andrew Cassidy, Michael DeBole, Alexander Andreopoulos, Bryan Jackson, Myron Flickner, Dharmendra Modha, John Sampson and Vijaykrishnan Narayanan, 2016, "LATTE: Low-power Audio Transform with TrueNorth Ecosystem", IEEE, pp. 4270-4277 Sumitha George, Ahmedullah Aziz, Xueqing Li, Moon Kim, Suman Datta, John Sampson, Sumeet Gupta and Vijaykrishnan Narayanan, 2016, "Device Circuit Co Design of FEFET Based Logic for Low Voltage Processors", IEEE Computer Society, pp. 649-654 Meng-Fan Chang, Ching-Hao Chuang, Yeh-Ning Chiang, Shyh-Shyuan Sheu, Chia-Chen Kuo, Hsiang-Yun Cheng, John Sampson and Mary Jane Irwin, 2016, "Designs of emerging memory based non-volatile TCAM for Internet-of-Things (IoT) and big-data processing: A 5T2R universal cell", IEEE, pp. 1142-1145 Kaisheng Ma, Xueqing Li, Yongpan Liu, John Sampson, Yuan Xie and Vijaykrishnan Narayanan, 2015, "Dynamic Machine Learning Based Matching of Nonvolatile Processor Microarchitecture to Harvested Energy Profile", Institute of Electrical and Electronics Engineers Inc, pp. 670675 Siddharth Advani, Brigid Smith, Yasuki Tanabe, Kevin M Irick, Matthew Cotter, John Sampson and Vijaykrishnan Narayanan, 2015, "Visual co-occurrence network: using context for large-scale object recognition in retail", IEEE, pp. 110 Siddharth Advani, Yasuki Tanabe, Kevin M Irick, John Sampson and Vijaykrishnan Narayanan, 2015, "A scalable architecture for multi-class visual object detection", pp. 18 Moon Seok Kim, William Cane-Wissing, John Sampson, Suman Datta, Vijaykrishnan Narayanan and Sumeet Gupta, 2015, "Comparing Energy, Area, Delay Tradeoffs in Going Vertical with CMOS and Asymmetric HTFETs", IEEE Computer Society, pp. 303308 Kaisheng Ma, Nandhini Chandramoorthy, Xueqing Li, Sumeet Gupta, John Sampson, Yuan Xie and Vijaykrishnan Narayanan, 2015, "Using Multiple-Input NEMS for Parallel A/D Conversion and ImageProcessing", pp. 339344 Yongpan Liu, Meng-Fan Chang, Zewei Li, Hehe Li, Yiqun Wang, John Sampson, Xueqing Li, Yuan Xie, Jiwu Shu, Kaisheng Ma, Huazhong Yang and Shuangchen Li, 2015, "Ambient Energy Harvesting Nonvolatile Processors: From Circuit to System", ACM, pp. 1-6 Hsiang-Yun Cheng, Jia Zhan, Jishen Zhao, Yuan Xie, John Sampson and Mary Jane Irwin, 2015, "Core vs. uncore: the heart of darkness", ACM, pp. 121:1121:6 Nandhini Chandramoorthy, Giuseppe Tagliavini, Kevin M Irick, Antonio Pullini, Siddharth Advani, Sulaiman Al Habsi, Matthew Cotter, John Sampson, Vijaykrishnan Narayanan and Luca Benini, 2015, "Exploring architectural heterogeneity in intelligent vision systems", IEEE, pp. 112 Kaisheng Ma, Yang Zheng, Shuangchen Li, Karthik Swaminathan, Xueqing Li, Yongpan Liu, John Sampson, Yuan Xie and Vijaykrishnan Narayanan, 2015, "Architecture exploration for ambient energy harvesting nonvolatile processors", IEEE, pp. 526537 Karthik Swaminathan, Jagadish Kotra, Huichu Liu, John Sampson, Mahmut T Kandemir and Vijaykrishnan Narayanan, 2015, "Thermal-Aware Application Scheduling on Device-Heterogeneous EmbeddedArchitectures", pp. 221226 Matthew Cotter, Siddharth Advani, John Sampson, Kevin M Irick and Vijaykrishnan Narayanan, 2014, "A hardware accelerated multilevel visual classifier for embedded visual-assist systems", IEEE/ACM, pp. 96100 Siddharth Advani, Nandhini Chandramoorthy, Karthik Swaminathan, Kevin M Irick, Yong Cheol Peter Cho, John Sampson and Vijaykrishnan Narayanan, 2014, "Refresh Enabled Video Analytics (REVA): Implications on power and performance of DRAM supported embedded visual systems", IEEE, pp. 501504 Chris S. Lee, Kevin M Irick, John Sampson, Chuanjun Zhang and Vijaykrishnan Narayanan, 2014, "Exploiting natural redundancy in visual information", IEEE, pp. 505508 Hsiang-Yun Cheng, Matthew Poremba, Narges Shahidi, Ivan Stalev, Mary Jane Irwin, Mahmut T Kandemir, John Sampson and Yuan Xie, 2014, "EECache: exploiting design choices in energy-efficient last-level caches for chip multiprocessors", ACM, pp. 303306 Karthik Swaminathan, Huichu Liu, Xueqing Li, Moon Seok Kim, John Sampson and Vijaykrishnan Narayanan, 2014, "Steep Slope Devices: Enabling New Architectural Paradigms", ACM, pp. 16 Karthik Swaminathan, Huichu Liu, John Sampson and Vijaykrishnan Narayanan, 2014, "An examination of the architecture and system-level tradeoffs of employing steep slope devices in 3D CMPs", IEEE Computer Society, pp. 241252 Yang Xiao, Kevin M Irick, John Sampson, Vijaykrishnan Narayanan and Chuanjun Zhang, 2014, "A task-oriented vision system", ACM, pp. 181186 Anshuman Gupta, John Sampson and Michael Bedford Taylor, 2014, "Quality Time: A simple online technique for quantifying multicore execution efficiency", IEEE, pp. 169179 Karthik Swaminathan, Moon Seok Kim, Nandhini Chandramoorthy, Behnam Sedighi, Robert Perricone, John Sampson and Vijaykrishnan Narayanan, 2014, "Modeling steep slope devices: From circuits to architectures", IEEE, pp. 16 Anshuman Gupta, John Sampson and Michael Bedford Taylor, 2013, "DR-SNUCA: An energy-scalable dynamically partitioned cache", IEEE Computer Society, pp. 515518 A. Gupta, John Sampson and M. Bedford Taylor, 2013, "TimeCube: A Manycore Embedded Processor with Interference-Agnostic Progress Tracking", pp. 227-236 Vasileios Kontorinis, Liuyi Eric Zhang, Baris Aksanli, John Sampson, Houman Homayoun, Eddie Pettis, Dean M. Tullsen and Tajana Simunic Rosing, 2012, "Managing distributed UPS energy for effective power capping in datacenters", IEEE Computer Society, pp. 488499 Nathan Goulding-Hotta, John Sampson, Qiaoshi Zheng, Vikram Bhatt, Joe Auricchio, Steven Swanson and Michael Bedford Taylor, 2012, "GreenDroid: An architecture for the Dark Silicon Age", IEEE, pp. 100105 Ganesh Venkatesh, John Sampson, Nathan Goulding-Hotta, Sravanthi Kota Venkata, Michael Bedford Taylor and Steven Swanson, 2011, "QsCores: trading dark silicon for scalable energy efficiency with quasi-specific cores", ACM, pp. 163174 John Sampson, Manish Arora, Nathan Goulding-Hotta, Ganesh Venkatesh, Jonathan Babb, Vikram Bhatt, Steven Swanson and Michael Bedford Taylor, 2011, "An Evaluation of Selective Depipelining for FPGA-Based Energy-Reducing Irregular Code Coprocessors", IEEE, pp. 2429 Manish Arora, John Sampson, Nathan Goulding-Hotta, Jonathan Babb, Ganesh Venkatesh, Michael Bedford Taylor and Steven Swanson, 2011, "Reducing the Energy Cost of Irregular Code Bases in Soft Processor Systems", IEEE Computer Society, pp. 210213 John Sampson, Ganesh Venkatesh, Nathan Goulding-Hotta, Saturnino Garcia, Steven Swanson and Michael Bedford Taylor, 2011, "Efficient complex operators for irregular codes", IEEE Computer Society, pp. 491502 Nathan Goulding, John Sampson, Ganesh Venkatesh, Saturnino Garcia, Joe Auricchio, Jonathan Babb, Michael Taylor and Steven Swanson, 2010, "GreenDroid: A Mobile Application Processor for a Future of Dark Silicon", Publisher: Institute of Electrical and Electronics Engineers Inc, pp. 1-36 Ganesh Venkatesh, John Sampson, Nathan Goulding, Saturnino Garcia, Vladyslav Bryksin, Jose Lugo-Martinez, Steven Swanson and Michael Bedford Taylor, 2010, "Conservation cores: reducing the energy of mature computations", ACM, pp. 205218 John Sampson, Rubn Gonzlez, Jean-Francois Collard, Norman P. Jouppi, Michael S. Schlansker and Brad Calder, 2006, "Exploiting Fine-Grained Data Parallelism with Chip Multiprocessors and Fast Barriers", IEEE Computer Society, pp. 235246 C. Lemuet, John Sampson, J.-F. Collard and N. Jouppi, 2006, "The Potential Energy Efficiency of Vector Acceleration", IEEE, pp. 1-10 Weihaw Chuang, Satish Narayanasamy, Ganesh Venkatesh, John Sampson, Michael Van Biesbrouck, Gilles Pokam, Brad Calder and Osvaldo Colavin, 2006, "Unbounded page-based transactional memory", ACM, pp. 347358 Erez Perelman, Marzia Polito, Jean-Yves Bouguet, John Sampson, Brad Calder and Carole Dulong, 2006, "Detecting phases in parallel applications on shared memory architectures", IEEE, pp. 1-12 John Sampson and Rubn Gonzlez, 2005, "Fast Synchronization for Chip Multiprocessors", pp. 64-69 Lieven Eeckhout, John Sampson and Brad Calder, 2005, "Exploiting program microarchitecture independent characteristics and phase behavior for reduced benchmark suite simulation", pp. 212 Jeremy Lau, John Sampson, Erez Perelman, Greg Hamerly and Brad Calder, 2005, "The Strong correlation Between Code Signatures and Performance", IEEE Computer Society, pp. 236247 Other Brigid Smith, Siddharth Advani, Matthew Cotter, Kevin M Irick, John Sampson and Vijaykrishnan Narayanan, 2015, "Using a Visual Co-occurrence Network (ViCoNet) for Large-scale Object Classification", pp. 1-6 Vikram Bhatt, Nathan Goulding-Hotta, Qiaoshi Zheng, John Sampson, Steven Swanson and Michael Bedford Taylor, 2012, "Sichrome: Mobile web browsing in hardware to save energy", pp. 1-2 Research Projects October2016-September2019,"E2CDA: Type II: 2D Electrostrictive FETs for Ultra-Low Power Circuits and Architectures,"(Sponsor:National Science Foundation). Honors and Awards Service Service to Penn State: Service to External Organizations: diff --git a/src/data/compiled_bios/1523.txt b/src/data/compiled_bios/1523.txt new file mode 100644 index 0000000000..a0b4166459 --- /dev/null +++ b/src/data/compiled_bios/1523.txt @@ -0,0 +1 @@ + Steven Shaffer Associate Teaching Professor Affiliation(s): School of Electrical Engineering and Computer Science Computer Science and Engineering W357 Westgate Building scs12@psu.edu 814-863-1943 Research Areas: Interest Areas: Distance education; Computer science education Education BA, Computer Science, Temple University, 1986 MS, Computer Science, Villanova University, 1990 D ED, Adult Education, Penn State University, 2006 Publications Books Steven Shaffer, 2010, Introduction to Programming Using C++ and Simple C++, University Press Publications Journal Articles Steven Shaffer, 2015, "A brief overview of theories of learning to program" Steven Shaffer, Mary Beth Ros andon, , 2013, "Increasing student success by modifying course delivery based on student submission data", 4, (4), pp. 5 Steven Shaffer, 2012, "Distance Education Assessment Infrastructure and Process Design Based on International Standard 23988", 15, (2) Steven Shaffer, 2005, "System Dynamics in Distance Education and a Call to Develop a Standard Model", 6, (3) Steven Shaffer, 2005, "Ludwig: An online programming tutoring and assessment system", 37, (2) Steven Shaffer, 2004, "The uses of systems theory in distance education", 13, (7) Steven Shaffer, 2004, "An Algorithm for Comparing Labeled Graphs", 6, (3) Steven Shaffer, 2000, "Data Partitioning, Code Inspections and Pathological Programs", 4, (Summer) Steven Shaffer, 1994, "Staff Scheduling: Issues and Answers", ASLTCN Journal Conference Proceedings Steven Shaffer, 2015, "Designing the Ideal Assessment System to Support Mastery Learning of Computer Programming in an Online Environment" Jeffrey C. Rimland, Steven Shaffer and David L Hall, 2014, " A Hitchhikers guide to developing software for hard and soft information fusion" Steven Shaffer, 2013, "Automated generation and grading of programming assignments", Association of Computing Machinery Steven Shaffer, 2012, "Developing a diagnostic test for introductory computer science courses: An application of cognitive diagnostic modeling", Vancouver, BC, Canada Steven Shaffer, 2004, "Putting the self back in the social: rescuing cognitivism from incautious rhetoric", 2004, (May) Steven Shaffer, 1997, "Building a model to test the capacity-speed hypotheses", Eighth Annual Student Convention in Gerontology and Geriatrics Steven Shaffer, 1991, "A Rule Based Expert System for Automated Staff Scheduling", IEEE Conference on Systems, Man, and Cybernetics, 1991 Steven Shaffer, 1991, "Implementing a Simple Rule-Based Expert System in INGRES", North American INGRES Users Association Conference, 1991 Steven Shaffer, 1987, "Microcomputer Human Operator Simulator", Human Factors and Ergonomics Society, 31, (10) Steven Shaffer, , "Automatic theory generation from analyst text files using coherence networks", SPIE Magazines/Trade Publications Steven Shaffer, 1997, "Try cross-cultural training", 1997, (September 29) Technical Reports Steven Shaffer, 1996, "The effects of different types of strategy training on the reading performance of young and old adults" Steven Shaffer, 1987, "Application of expert systems in project management decision aiding", 1987 Other Steven Shaffer, 2013, "A Gentle Introduction to Computer Programming Fundamentals" Steven Shaffer, 2013, "A Brief Introduction to Software Development and Quality Assurance Management" Steven Shaffer, 2013, "PLEASE: Programming Learning Evaluation and Assessment System for Education" Steven Shaffer, 2013, "Peer review submission" Steven Shaffer, 2012, "Introduction to Programming Using PLEASE", (6th) Steven Shaffer, 2000, "CGI Programming in C++" Research Projects Honors and Awards Service Service to Penn State: Service to External Organizations: diff --git a/src/data/compiled_bios/1524.txt b/src/data/compiled_bios/1524.txt new file mode 100644 index 0000000000..2f49fe23a0 --- /dev/null +++ b/src/data/compiled_bios/1524.txt @@ -0,0 +1 @@ + Mingfu Shao Charles K. Etner Early Career Assistant Professor of CSE Affiliation(s): Computer Science and Engineering School of Electrical Engineering and Computer Science mxs2589@psu.edu Personal or Departmental Website Research Areas: diff --git a/src/data/compiled_bios/1525.txt b/src/data/compiled_bios/1525.txt new file mode 100644 index 0000000000..ddd3a9fcdc --- /dev/null +++ b/src/data/compiled_bios/1525.txt @@ -0,0 +1 @@ + Anand Sivasubramaniam Distinguished Professor Affiliation(s): School of Electrical Engineering and Computer Science Computer Science and Engineering W320 Westgate Building axs53@psu.edu 814-865-1406 Personal or Departmental Website Research Areas: Interest Areas: Operating systems, computer architecture, databases, mobile computing, performance evaluation. Education B.Tech., Computer Science, Indian Institute of Technology, 1989 MS, Computer Science, Georgia Institute of Technology, 1991 Ph D, Computer Science, Georgia Institute of Technology, 1995 Publications Books Anand Sivasubramaniam, 2008, Acessing Spatial Information in Resource-constrained and Resource-rich Environments, VDM Verlag Book, Chapters Sudhanva Gurumurthi and Anand Sivasubramaniam, 2012, Energy-efficient Storage Systems for Datacenters, John Wiley & Sons, Inc., pp. 361-376 Youngjae Kim, Sudhanva Gurumurthi and Anand Sivasubramaniam, 2012, Thermal Management for High Performance Storage Systems, Chapman and Hall/CRC, pp. 129146 Journal Articles A. Mamun, H. Fathy and Anand Sivasubramaniam, 2018, "Collective Learning of Lithium-ion Aging Model Parameters for Battery Health-conscious Demand Response in Datacenters", Elsevier Energy F. Farhat, D. Tootaghaj, Anand Sivasubramaniam, Y. He, M. Kandemir and Chitaranjan Das, 2018, "Stochastic Modeling and Optimization of Stragglers", IEEE Transactions on Cloud Computing, 6, (4), pp. 1164-1177 M. Arjomand, A. Jadidi, Mahmut T Kandemir, Anand Sivasubramaniam and Chitaranjan Das, 2017, "HL-PCM: MLC PCM Main Memory with Accelerated Read", IEEE Transactions on Parallel and Distributed Systems S. Nagarathinam, P. Venkataramakrishna, A. Vasan, V. Sarangan and Anand Sivasubramaniam, 2017, "Sense and Sensibility: The Utility of HVAC Sensors for Large Zones. Elsevier Energy and Buildings", Elsevier Energy and Buildings, 138, pp. 104-117 A. Mamun, I. Narayanan, D. Wang, Anand Sivasubramaniam and H. Fathy, 2017, "A Stochastic Optimal Control Approach for Exploring Trade-offs between Cost Savings and Battery Aging in Datacenter Demand Response", IEEE Transactions on Control Systems Technology S. Nagarathinam, H. Doddi, A. Vasan, V. Sarangan, P. Venkataramakrishna and Anand Sivasubramaniam, 2017, "Energy-efficient Thermal Comfort in Open-plan Office Buildings", Elsevier Energy and Buildings, 139, pp. 476-486 A. Mamun, I. Narayanan, D. Wang, Anand Sivasubramaniam and Hosam Kadry Fathy, 2016, "Multi-objective optimization of demand response in a datacenter with lithium-ion battery storage", Elsevier Journal of Energy Storage, 7, pp. 258-269 Anand Sivasubramaniam, Farshid Farhat, Diman Tootaghaj, He Yuxiong, Mahmut T Kandemir and Chitaranjan Das, 2016, "Stochastic Modeling and Optimization of Stragglers", IEEE Transactions on Cloud Computing, (99), pp. 1 Shiva R. Iyer, Maathangi Sankar, P. Venkata Ramakrishna, Venkatesh Sarangan, Arunchandar Vasan and Anand Sivasubramaniam, 2015, "Energy disaggregation analysis of a supermarket chain using a facility-model", Elsevier Energy and Buildings, 97, pp. 65 - 76 A. Mamun, D. Wang, I. Narayanan, Anand Sivasubramaniam and H.K. Fathy, 2015, "Physics-based simulation of the impact of demand response on lead-acid emergency power availability in a datacenter", Elsevier Journal of Power Sources, 275, (0), pp. 516 - 524 Harshad Bhagwat, Umesh Singh, Anirudh Deodhar, Amarendra Singh and Anand Sivasubramaniam, 2014, "Fast and Accurate Evaluation of Cooling in Data Centers", Journal of Electronic Packaging, 137, (1), pp. 9 Iyswarya Narayanan, Arunchandar Vasan, Venkatesh Sarangan, Jamsheeda Kadengal and Anand Sivasubramaniam, 2014, "Little Knowledge Isn't Always Dangerous - Understanding Water DistributionNetworks Using Centrality Metrics", IEEE Trans. Emerging Topics Comput., 2, (2), pp. 225238 Youngjae Kim, Aayush Gupta, Bhuvan Urgaonkar, Piotr Berman and Anand Sivasubramaniam, 2014, "HybridPlan: a capacity planning technique for projecting storage requirementsin hybrid storage systems", The Journal of Supercomputing, 67, (1), pp. 277303 Byung-Chul Tak, Bhuvan Urgaonkar and Anand Sivasubramaniam, 2013, "Cloudy with a Chance of Cost Savings", IEEE Trans. Parallel Distrib. Syst., 24, (6), pp. 12231233 Sriram Govindan, Di Wang, Anand Sivasubramaniam and Bhuvan Urgaonkar, 2013, "Aggressive Datacenter Power Provisioning with Batteries", ACM Trans. Comput. Syst., 31, (1), pp. 2 Harshad Bhagwat, Amarendra Singh, Arunchandar Vasan and Anand Sivasubramaniam, 2013, "Faster exploration of datacenter cooling using thermal influence indices", Sustainable Computing: Informatics and Systems, 3, (3), pp. 120 - 131 Cheng Wang, Bhuvan Urgaonkar, Qian Wang, George Kesidis and Anand Sivasubramaniam, 2013, "Data Center Cost Optimization Via Workload Modulation Under Real-WorldElectricity Pricing", CoRR, abs/1308.0585 V. Siddharth, P.V. Ramakrishna, T. Geetha and Anand Sivasubramaniam, 2011, "Automatic generation of energy conservation measures in buildings using genetic algorithms", Elsevier Energy and Buildings, 43, (10), pp. 2718-2726 Byung Chal Tak, Anand Sivasubramaniam and Bhuvan Urgaonkar, 2011, "Understanding the Cost of Cloud: Cost analysis of In-house vs. Cloud-based Hosting Options", The European Business Review, pp. 76-80 Geetha Thiagarajan, Venkatesh Sarangan, Ramasubramanian Suriyanarayanan, Pragathichitra Sethuraman, Anand Sivasubramaniam and Avinash Yegyanarayanan, 2011, "Automating a Buildings Carbon Management", IEEE Computer, 44, (1), pp. 2430 Rahul Urgaonkar, Bhuvan Urgaonkar, Michael J. Neely and Anand Sivasubramaniam, 2011, "Optimal Power Cost Management Using Stored Energy in Data Centers", CoRR, abs/1103.3099 Jeonghwan Choi, Sriram Govindan, Jinkyu Jeong, Bhuvan Urgaonkar and Anand Sivasubramaniam, 2010, "Power Consumption Prediction and Power-Aware Packing in ConsolidatedEnvironments", IEEE Trans. Computers, 59, (12), pp. 16401654 W. Qin, Q. Wang and Anand Sivasubramaniam, 2009, "An a-stable model-based Linear Parameter Varying Control for Managing Server Performance under Self-similar workloads", IEEE Transactions on Control Systems Technology, 17, (1), pp. 123-134 Wubi Qin, Qian Wang and Anand Sivasubramaniam, 2009, "An Alpha -Stable Model-Based Linear-Parameter-Varying Control for Managing Server Performance Under Self-Similar Workloads", IEEE Trans. Contr. Sys. Techn., 17, (1), pp. 123134 Sriram Govindan, Jeonghwan Choi, Arjun R. Nath, Amitayu Das, Bhuvan Urgaonkar and Anand Sivasubramaniam, 2009, "Xen and Co.: Communication-Aware CPU Management in ConsolidatedXen-Based Hosting Platforms", IEEE Trans. Computers, 58, (8), pp. 11111125 Y. Kim, J. Choi, S. Gurumurthi and Anand Sivasubramaniam, 2008, "Managing Thermal Emergencies in Disk-Based Storage Systems", Transactions of the ASME: Journal of Electronic Packaging, 130, (4), pp. 041105-2-041105-8 Jeonghwan Choi, Youngjae Kim, Anand Sivasubramaniam, Jelena Srebric, Qian Wang and Joonwon Lee, 2008, "A CFD-Based Tool for Studying Temperature in Rack-Mounted Servers", IEEE Trans. Computers, 57, (8), pp. 11291142 Mark S. Squillante, Yanyong Zhang, Anand Sivasubramaniam and Natarajan Gautam, 2008, "Generalized parallel-server fork-join queues with dynamic task scheduling", Annals OR, 160, (1), pp. 227255 Mei Li, Wang Lee, Anand Sivasubramaniam and Jing Zhao, 2008, "SSW: A Small-World-Based Overlay for Peer-to-Peer Search", IEEE Trans. Parallel Distrib. Syst., 19, (6), pp. 735749 Mei Li, Wang Lee, Anand Sivasubramaniam and Jizhong Zhao, 2008, "Supporting K nearest neighbors query on high-dimensional data in P2P systems", Frontiers of Computer Science in China, 2, (3), pp. 234247 Huajing Li, Wang Lee, Anand Sivasubramaniam and Clyde L Giles, 2008, "Workload analysis for scientific literature digital libraries", Int. J. on Digital Libraries, 9, (2), pp. 139149 Tao Li, Lizy Kurian John, Anand Sivasubramaniam, Vijaykrishnan Narayanan and Juan Rubio, 2007, "OS-Aware Branch Prediction: Improving Microprocessor Control Flow Prediction for Operating Systems", IEEE Trans. Computers, 56, (1), pp. 217 Ismail Kadayif, Partho Nath, Mahmut T Kandemir and Anand Sivasubramaniam, 2007, "Reducing Data TLB Power via Compiler-Directed Address Generation", IEEE Trans. on CAD of Integrated Circuits and Systems, 26, (2), pp. 312324 Jianyong Zhang, Prasenjit Sarkar and Anand Sivasubramaniam, 2006, "Achieving completion time guarantees in an opportunistic data migration scheme", SIGMETRICS Performance Evaluation Review, 33, (4), pp. 1116 Murali Vilayannur, Anand Sivasubramaniam, Mahmut T Kandemir, Rajeev Thakur and Robert B. Ross, 2006, "Discretionary Caching for I/O on Clusters", Cluster Computing, 9, (1), pp. 2944 Chun Liu, Anand Sivasubramaniam and Mahmut T Kandemir, 2006, "Optimizing bus energy consumption of on-chip multiprocessors using frequent values", Journal of Systems Architecture, 52, (2), pp. 129142 Jianyong Zhang, Anand Sivasubramaniam, Qian Wang, Alma Riska and Erik Riedel, 2006, "Storage performance virtualization via throughput and latency control", TOS, 2, (3), pp. 283308 Sudhanva Gurumurthi and Anand Sivasubramaniam, 2006, "Thermal issues in disk drive design: Challenges and possible solutions", TOS, 2, (1), pp. 4173 Sudhanva Gurumurthi, Youngjae Kim and Anand Sivasubramaniam, 2006, "Using STEAM for Thermal Simulation of Storage Systems", IEEE Micro, 26, (4), pp. 4351 Ismail Kadayif, Mahmut T Kandemir, Guilin Chen, Vijaykrishnan Narayanan, Mary Jane Irwin and Anand Sivasubramaniam, 2005, "Compiler-directed high-level energy estimation and optimization", ACM Trans. Embedded Comput. Syst., 4, (4), pp. 819850 Ismail Kadayif, Anand Sivasubramaniam, Mahmut T Kandemir, Gokul B. Kandiraju and Guangyu Chen, 2005, "Optimizing instruction TLB energy using software and hardware techniques", ACM Trans. Design Autom. Electr. Syst., 10, (2), pp. 229257 Christopher L. Barrett, Madhav V. Marathe, D. Charles Engelhart and Anand Sivasubramaniam, 2004, "Approximating the connectivity between nodes when simulating large-scale mobile ad hoc radio networks", Journal of Systems and Software, 73, pp. 6374 Yanyong Zhang and Anand Sivasubramaniam, 2004, "ClusterSchedSim: A Unifying Simulation Framework for Cluster Scheduling Strategies", Simulation, 80, (4-5), pp. 191206 Doug Burger and Anand Sivasubramaniam, 2004, "Tools for computer architecture research", SIGMETRICS Performance Evaluation Review, 31, (4), pp. 23 N. Cherukuri, G. Kandiraju, N. Gautam and Anand Sivasubramaniam, 2004, "Analytical Model and Performance Analysis of a Network Interface Card", International Journal of Modelling and Simulation, 24, (3), pp. 179-189 Y. Chen, A. Das, N. Gautam, Q. Wang and Anand Sivasubramaniam, 2004, "Pricing-based Strategies for Autonomic Control of Web Servers for Time-varying Request Arrivals", Engineering Applications of Artificial Intelligence, Special Issue on Automatic Computing Systems, 17, (7), pp. 841-854 Mau-Tsuen Yang, Rangachar Kasturi and Anand Sivasubramaniam, 2003, "A Pipeline-Based Approach for Scheduling Video Processing Algorithms on NOW", IEEE Trans. Parallel Distrib. Syst., 14, (2), pp. 119130 Yanyong Zhang, Hubertus Franke, Jos E. Moreira and Anand Sivasubramaniam, 2003, "An Integrated Approach to Parallel Scheduling Using Gang-Scheduling, Backfilling, and Migration", IEEE Trans. Parallel Distrib. Syst., 14, (3), pp. 236247 Lin Li, Ismail Kadayif, Yuh-Fang Tsai, Vijaykrishnan Narayanan, Mahmut T Kandemir, Mary Jane Irwin and Anand Sivasubramaniam, 2003, "Managing Leakage Energy in Cache Hierarchies", J. Instruction-Level Parallelism, 5 Soontae Kim, Vijaykrishnan Narayanan, Mahmut T Kandemir, Anand Sivasubramaniam and Mary Jane Irwin, 2003, "Partitioned instruction cache architecture for energy efficiency", ACM Trans. Embedded Comput. Syst., 2, (2), pp. 163185 Sudhanva Gurumurthi, Anand Sivasubramaniam, Mahmut T Kandemir and Hubertus Franke, 2003, "Reducing Disk Power Consumption in Servers with DRPM", IEEE Computer, 36, (12), pp. 5966 Ning An, Ji Jin and Anand Sivasubramaniam, 2003, "Toward an Accurate Analysis of Range Queries on Spatial Data", IEEE Trans. Knowl. Data Eng., 15, (2), pp. 305323 Ning An, Sudhanva Gurumurthi, Anand Sivasubramaniam, Vijaykrishnan Narayanan, Mahmut T Kandemir and Mary Jane Irwin, 2002, "Energy-performance trade-offs for spatial access methods on memory-resident data", VLDB J., 11, (3), pp. 179197 Ramaswamy Govindarajan and Anand Sivasubramaniam, 2001, "Guest Editors Introduction: Special Issue on Cluster and Network-Based Computing", J. Parallel Distrib. Comput., 61, (11), pp. 15071511 Victor Delaluz, Mahmut T Kandemir, Vijaykrishnan Narayanan, Anand Sivasubramaniam and Mary Jane Irwin, 2001, "Hardware and Software Techniques for Controlling DRAM Power Modes", IEEE Trans. Computers, 50, (11), pp. 11541173 Aniruddha S. Vaidya, Anand Sivasubramaniam and Chitaranjan Das, 2001, "Impact of Virtual Channels and Adaptive Routing on Application Performance", IEEE Trans. Parallel Distrib. Syst., 12, (2), pp. 223237 Yanyong Zhang, Anand Sivasubramaniam, Jos E. Moreira and Hubertus Franke, 2001, "Impact of Workload and System Parameters on Next Generation Cluster Scheduling Mechanisms", IEEE Trans. Parallel Distrib. Syst., 12, (9), pp. 967985 Ramesh Radhakrishnan, Vijaykrishnan Narayanan, Lizy Kurian John, Anand Sivasubramaniam, Juan Rubio and Jyotsna Sabarinathan, 2001, "Java Runtime Systems: Characterization and Architectural Implications", IEEE Trans. Computers, 50, (2), pp. 131146 Aniruddha S. Vaidya, Chitaranjan Das and Anand Sivasubramaniam, 1999, "A Testbed for Evaluation of Fault-Tolerant Routing in Multiprocessor Interconnection Networks", IEEE Trans. Parallel Distrib. Syst., 10, (10), pp. 10521066 Shailabh Nagar, Ajit Banerjee, Anand Sivasubramaniam and Chitaranjan Das, 1999, "Alternatives to Coscheduling a Network of Workstations", J. Parallel Distrib. Comput., 59, (2), pp. 302327 Anand Sivasubramaniam, Aman Singla, Umakishore Ramachandran and H. Venkateswaran, 1999, "An Application-Driven Study of Parallel System Overheads and Network Bandwidth Requirements", IEEE Trans. Parallel Distrib. Syst., 10, (3), pp. 193210 Ning An, R. Lu, Liujian Qian, Anand Sivasubramaniam and Tom Keefe, 1999, "Storing spatial data on a network of workstations", Cluster Computing, 2, (4), pp. 259270 Anand Sivasubramaniam, Aman Singla, Umakishore Ramachandran and H. Venkateswaran, 1994, "A Simulation-Based Scalability Study of Parallel Systems", J. Parallel Distrib. Comput., 22, (3), pp. 411426 Conference Proceedings N. Elyasi, C. Choi and Anand Sivasubramaniam, 2019, "Large-scale Graph Processing on Emerging Storage Devices" P. Venkataramakrishna, V. Sarangan, Anand Sivasubramaniam and S. Uncover, 2019, "Estimating the Hidden Behind-the-meter Solar Rooftop and Battery Capacities in Grids" S. Nagarathinam, A. Vasan, V. Sarangan, R. Jayaprakash and Anand Sivasubramaniam, 2018, "Good set-points make good neighbors - User seating and temperature control in Uberized workspaces" P. Rengasamy, S. Zhao, N. Nachiappan, Anand Sivasubramaniam, Mahmut T Kandemir and Chitaranjan Das, 2018, "CritICs Critiquing Criticality in Mobile Apps" N. Elyasi, Anand Sivasubramaniam, Mahmut T Kandemir and Chitaranjan Das, 2018, "Reviving Zombie Pages on SSDs" N. Elyasi, M. Arjomand, Anand Sivasubramaniam, Mahmut T Kandemir and Chitaranjan Das, 2018, "Content Popularity-Based Selective Replication for Read Redirection in SSDs" A. Achar, V. Sarangan, R. Rohith and Anand Sivasubramaniam, 2018, "Predicting Vehicular Travel Times by Modeling Hererogeneous Influences between Arterial Roads" Anand Sivasubramaniam, , , , , and , , 2018, "FLOSS: FLOw Sensitive Scheduling on Mobile Platforms" K. Kandhway, A. Vasan, S. Nagarathinam, V. Sarangan and Anand Sivasubramaniam, 2017, "Incentive Design for Demand-Response based on Building Constraints A Utility Perspective" I. Narayanan, D. Wang, A. Mamun, Anand Sivasubramaniam, Hosam Kadry Fathy and S. James, 2017, "Evaluating Energy Storage for a Multitude of Uses in the Datacenter" P. Rengasamy, H. Zhang, N. Nachiappan, S. Zhao, Anand Sivasubramaniam, Mahmut T Kandemir and Chitaranjan Das, 2017, "Characterizing Diverse Handheld Apps for Customized Hardware Acceleration" M. Ramezani, N. Elyasi, M. Arjomand, M. Kandemir and Anand Sivasubramaniam, 2017, "Exploring the Impact of Memory Block Permutation on Performance of a Crossbar ReRAM Main Memory" H. Zhang, P. Rengasamy, S. Zhao, N. Nachiappan, Anand Sivasubramaniam, Mahmut T Kandemir, R. Iyer and Chitaranjan Das, 2017, "Race-To-Sleep + Content Caching + Display Caching: A Recipe for Energy-efficient Video Streaming on Handhelds" Vijaykrishnan Narayanan, B. Sharma, D. Wang, S. Govindan, L. Caulfield, Anand Sivasubramaniam, A. Kansal, J. Liu, B. Khessib and K. Vaid, 2017, "Rain or Shine? Making Sense of Cloudy Reliability Data" I. Narayanan, A. Kansal and Anand Sivasubramaniam, 2017, "Right-sizing Geo-Distributed Datacenters for Availability and Latency" A. Ramanujam, P. Sankaranarayanan, A. Vasan, R. Jayaprakash, V. Sarangan and Anand Sivasubramaniam, 2017, "Quantifying the Impact of Electric Vehicles on the Electric Grid A Simulation Based Case-Study" N. Elyasi, M. Arjomand, Anand Sivasubramaniam, Mahmut T Kandemir and Chitaranjan Das, 2017, "Exploiting Intra-Request Slack to Improve SSD Performance. In Proceedings of the International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS)" G. Kaushik, A. Manimaran, A. Vasan, V. Sarangan and Anand Sivasubramaniam, 2017, "Burst Prediction in Water Networks Using Dynamic Metrics" N. Shahidi, M. Arjomand, M. Jung, Mahmut T Kandemir, Chitaranjan Das and Anand Sivasubramaniam, 2016, "Exploring the Potentials of Parallel Garbage Collection in SSDs for Enterprise Storage Systems", Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis, SC'16 A. Mamun, I. Narayanan, Di Wang, Anand Sivasubramaniam and Hosam Kadry Fathy, 2016, "Battery health-conscious online power management for demand response in datacenters with stochastic power demand", Proceedings of the American Control Conference I. Narayanan, D. Wang, M. Jeon, B. Sharma, L. Caulfield, Anand Sivasubramaniam, B. Cutler, J. Liu, B. Khessib and K. Vaid, 2016, "SSD Failures in Datacenters: What? When? And Why?", Proceedings of the ACM International Systems and Storage Conference, SYSTOR M. Arjomand, Anand Sivasubramaniam, Mahmut T Kandemir and Chitaranjan Das, 2016, "Boosting Access Parallelism to PCM-based Main Memory", Proceedings of the International Symposium on Computer Architecture, ISCA L. Markose, V. Sarangan, A. Vasan, A. Suriyanarayanan and Anand Sivasubramaniam, 2016, "Harmoney: Saving energy costs in buildings through harmonic current mitigation", Proceedings of the 7th International Conference on Future Energy Systems Poster Sessions, e-Energy 2016, Association for Computing Machinery, Inc, New York, NY, USA N. Shahidi, M. Arjomand, Anand Sivasubramaniam, Mahmut T Kandemir and Chitaranjan Das, 2016, "Storage consolidation: Not always a panacea, but can we ease the pain?", Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, ISPASS, pp. 159-160 Z. Jia, M. Alaziz, X. Chi, R. Howard, Y. Zhang, P. Zhang, W. Trappe, Anand Sivasubramaniam and N. An, 2016, "HB-Phone: A Bed-Mounted Geophone-based Heartbeat Monitoring System.", ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN M. Arjomand, A. Jadidi, Mahmut T Kandemir, Anand Sivasubramaniam and Chitaranjan Das, 2016, "MLC PCM main memory with accelerated read", International Symposium on Performance Analysis of Systems and Software, ISPASS, Institute of Electrical and Electronics Engineers Inc., USA, pp. 143144 Srinarayana Nagarathinam, Arunchandar Vasan, Venkata Ramakrishna P, Shiva R. Iyer, Venkatesh Sarangan and Anand Sivasubramaniam, 2015, "Centralized Management of HVAC Energy in Large Multi-AHU Zones", 2nd ACM International Conference on Embedded Systems for Energy-Efficient Built Environments, ACM BuildSystems, pp. 157166 Diman Zad Tootaghaj, Farshid Farhat, Mohammad Arjomand, Paolo Faraboschi, Mahmut T Kandemir, Anand Sivasubramaniam and Chitaranjan Das, 2015, "Evaluating the Combined Impact of Node Architecture and Cloud Workload Characteristics on Network Traffic and Performance/Cost", 2015 IEEE International Symposium on Workload Characterization, IEEE, pp. 203212 A. Mamun, I. Narayanan, D. Wang, Anand Sivasubramaniam and H. Fathy, 2015, "Multi-Objective Optimization to Minimize Battery Degradation and Electricity Cost for Demand Response in Datacenters", pp. 10 P. V. Rengasamy, Anand Sivasubramaniam, Mahmut T Kandemir and Chitaranjan Das, 2015, "Exploiting Staleness for Approximating Loads on CMPs" Srinarayana Nagarathinam, Shiva R. Iyer, Arunchandar Vasan, P. Venkata Ramakrishna, Venkatesh Sarangan and Anand Sivasubramaniam, 2015, "On the Utility of Occupancy Sensing for Managing HVAC Energy in Large Zones", ACM, pp. 219220 Shravan Srinivasan, Arunchandar Vasan, Venkatesh Sarangan and Anand Sivasubramaniam, 2015, "Bugs in the Freezer: Detecting Faults in Supermarket Refrigeration Systems Using Energy Signals", ACM, pp. 101110 Nachiappan Chidambaram Nachiappan, Haibo Zhang, Jihyun Ryoo, Niranjan Soundararajan, Anand Sivasubramaniam, Mahmut T Kandemir, Ravishankar Iyer and Chitaranjan Das, 2015, "VIP: virtualizing IP chains on handheld platforms", ACM, pp. 655667 Nachiappan Chidambaram Nachiappan, Praveen Yedlapalli, Niranjan Soundararajan, Anand Sivasubramaniam, Mahmut T Kandemir, Ravishankar Iyer and Chitaranjan Das, 2015, "Domain knowledge based energy management in handhelds", IEEE, pp. 150160 Praveen Yedlapalli, Nachiappan Chidambaram Nachiappan, Niranjan Soundararajan, Anand Sivasubramaniam, Mahmut T Kandemir and Chitaranjan Das, 2014, "Short-Circuiting Memory Traffic in Handheld Platforms", pp. 166177 Iyswarya Narayanan, Di Wang, Abdullah Al Mamun, Anand Sivasubramaniam and Hosam Kadry Fathy, 2014, "Should We Dual-Purpose Energy Storage in Datacenters for Power Backupand Demand Response?" Sagar Kurandwad, Chandrasekar Subramanian, P. Venkata Ramakrishna, Arunchandar Vasan, Venkatesh Sarangan, VijaySekhar Chellaboina and Anand Sivasubramaniam, 2014, "Windy with a chance of profit: bid strategy and analysis for windintegration", pp. 3949 Iyswarya Narayanan, Aman Kansal, Anand Sivasubramaniam, Bhuvan Urgaonkar and Sriram Govindan, 2014, "Towards a Leaner Geo-distributed Cloud Infrastructure" Maathangi Sankar, Venkata Ramakrishna P, Shiva R. Iyer, Venkatesh Sarangan, Arunchandar Vasan and Anand Sivasubramaniam, 2014, "Comparing apples to oranges: energy benchmarking of supermarkets withlimited data", pp. 223224 Nachiappan Chidambaram Nachiappan, Praveen Yedlapalli, Niranjan Soundararajan, Mahmut T Kandemir, Anand Sivasubramaniam and Chitaranjan Das, 2014, "GemDroid: a framework to evaluate mobile platforms", pp. 355366 Iyswarya Narayanan, Arunchandar Vasan, Venkatesh Sarangan and Anand Sivasubramaniam, 2014, "One meter to find them all: water network leak localization usinga single flow meter", pp. 4758 Di Wang, Sriram Govindan, Anand Sivasubramaniam, Aman Kansal, Jie Liu and Badriddine Khessib, 2014, "Underprovisioning backup power infrastructure for datacenters", pp. 177192 Cheng Wang, Bhuvan Urgaonkar, Qian Wang, George Kesidis and Anand Sivasubramaniam, 2013, "Data Center Power Cost Optimization via Workload Modulation", pp. 260263 Jamsheeda Kadengal, Sivabalan Thirunavukkarasu, Arunchandar Vasan, Venkatesh Sarangan and Anand Sivasubramaniam, 2013, "The Energy-Water Nexus in Campuses", pp. 18 Shiva R. Iyer, Venkatesh Sarangan, Arunchandar Vasan and Anand Sivasubramaniam, 2013, "Watts in the basket?: Energy Analysis of a Retail Chain", pp. 18 Praveen Yedlapalli, Jagadish Kotra, Emre Kultursay, Mahmut T Kandemir, Chitaranjan Das and Anand Sivasubramaniam, 2013, "Meeting midway: Improving CMP performance with memory-side prefetching", pp. 289298 P. Venkata Ramakrishna, Gollakota Kaushik, K. Loknath Sudhakar, Geetha Thiagarajan and Anand Sivasubramaniam, 2013, "Online system for energy assessment in large facilities - Methodology& A real-world case study", pp. 19 Di Wang, Chuangang Ren, Sriram Govindan, Anand Sivasubramaniam, Bhuvan Urgaonkar, Aman Kansal and Kushagra Vaid, 2013, "ACE: Abstracting, characterizing and exploiting datacenter powerdemands", pp. 4455 Di Wang, Anand Sivasubramaniam and Bhuvan Urgaonkar, 2013, "A Case for Heterogeneous Flash in the Datacenter", pp. 220225 Di Wang, Chuangang Ren, Sriram Govindan, Anand Sivasubramaniam, Bhuvan Urgaonkar, Aman Kansal and Kushagra Vaid, 2013, "ACE: abstracting, characterizing and exploiting peaks and valleysin datacenter power consumption", pp. 333334 Di Wang, Chuangang Ren and Anand Sivasubramaniam, 2013, "Virtualizing power distribution in datacenters", pp. 595606 Emre Kultursay, Mahmut T Kandemir, Anand Sivasubramaniam and Onur Mutlu, 2013, "Evaluating STT-RAM as an energy-efficient main memory alternative", pp. 256267 C. Wang, B. Urgaonkar, Q. Wang, G. Kesidis and Anand Sivasubramaniam, 2013, "Data Center Cost Optimization Via Workload Modulation Under Real-World Electricity Pricing", Proceedings of the Sixth IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2013), pp. 14 Nachiappan Chidambaram Nachiappan, Asit K. Mishra, Mahmut T Kandemir, Anand Sivasubramaniam, Onur Mutlu and Chitaranjan Das, 2012, "Application-aware prefetch prioritization in on-chip networks", pp. 441442 Chuangang Ren, Di Wang, Bhuvan Urgaonkar and Anand Sivasubramaniam, 2012, "Carbon-Aware Energy Capacity Planning for Datacenters", pp. 391400 Iyswarya Narayanan, Venkatesh Sarangan, Arunchandar Vasan, Aravind Srinivasan, Anand Sivasubramaniam, B. S. Murt and S. Narasimhan, 2012, "Efficient booster pump placement in water networks using graph theoreticprinciples", pp. 16 Di Wang, Chuangang Ren, Anand Sivasubramaniam, Bhuvan Urgaonkar and Hosam Kadry Fathy, 2012, "Energy storage in datacenters: what, where, and how much?", pp. 187198 Harshad Bhagwat, Amarendra Singh, Arunchandar Vasan and Anand Sivasubramaniam, 2012, "Thermal influence indices: Causality metrics for efficient explorationof data center cooling", pp. 110 Sriram Govindan, Di Wang, Anand Sivasubramaniam and Bhuvan Urgaonkar, 2012, "Leveraging stored energy for handling power emergencies in aggressivelyprovisioned datacenters", pp. 7586 Iyswarya Narayanan, Venkatesh Sarangan, Arunchandar Vasan, Aravind Srinivasan and Anand Sivasubramaniam, 2012, "Networking lessons: From computers to water", pp. 16 Sriram Govindan, Jie Liu, Aman Kansal and Anand Sivasubramaniam, 2011, "Cuanta: quantifying effects of shared on-chip resource interferencefor consolidated virtual machines", pp. 22 Youngjae Kim, Aayush Gupta, Bhuvan Urgaonkar, Piotr Berman and Anand Sivasubramaniam, 2011, "HybridStore: A Cost-Efficient, High-Performance Storage System CombiningSSDs and HDDs", pp. 227236 Sriram Govindan, Anand Sivasubramaniam and Bhuvan Urgaonkar, 2011, "Benefits and limitations of tapping into stored energy for datacenters", pp. 341352 Rahul Urgaonkar, Bhuvan Urgaonkar, Michael J. Neely and Anand Sivasubramaniam, 2011, "Optimal power cost management using stored energy in data centers", pp. 221232 Byung-Chul Tak, Bhuvan Urgaonkar and Anand Sivasubramaniam, 2011, "To Move or Not to Move: The Economics of Cloud Computing" Aayush Gupta, Raghav Pisolkar, Bhuvan Urgaonkar and Anand Sivasubramaniam, 2011, "Leveraging Value Locality in Optimizing NAND Flash-based SSDs", pp. 91103 Chandrasekar Subramanian, Arunchandar Vasan and Anand Sivasubramaniam, 2010, "Reducing datacenter power with server consolidation: Approximationand evaluation", pp. 110 S. Chandrasekar, A. Vasan and Anand Sivasubramaniam, 2010, "Reducing Data Center Power with Server Consolidation: Approximation and Evaluation", Proceedings of the International Conference on High Performance Computing (HiPC 2010) Shiva Chaitanya, Dharani Vijayakumar, Bhuvan Urgaonkar and Anand Sivasubramaniam, 2010, "Middleware for a Re-configurable Distributed Archival Store Basedon Secret Sharing", pp. 107127 Shiva Chaitanya, Bhuvan Urgaonkar and Anand Sivasubramaniam, 2010, "Multi-level Crypto Disk: Secondary Storage with Flexible PerformanceVersus Security Trade-offs", pp. 434436 Niranjan Soundararajan, Anand Sivasubramaniam and Vijaykrishnan Narayanan, 2010, "Characterizing the soft error vulnerability of multicores runningmultithreaded applications", pp. 379380 Umesh Singh, Amarendra Singh, Parvez S. and Anand Sivasubramaniam, 2010, "CFD-Based Operational Thermal Efficiency Improvement of a ProductionData Center" Arunchandar Vasan, Anand Sivasubramaniam, Vikrant Shimpi, T. Sivabalan and Rajesh Subbiah, 2010, "Worth their watts? - an empirical study of datacenter servers", pp. 110 S. Ramasubramaniam, Y. Avinash, S. Pragathi Chitra, T. Geetha and Anand Sivasubramaniam, 2009, "An Activity Based Approach to Minimize Energy Usage of Service Sector Infrastructure", Proceedings of the IEEE Second International Conference on Infrastructure Systems and Services: Developing 21st Century Infrastructure Networks (INFRA), pp. 1-6 Sriram Govindan, Jeonghwan Choi, Bhuvan Urgaonkar, Anand Sivasubramaniam and Andrea Baldini, 2009, "Statistical profiling-based techniques for effective power provisioningin data centers", pp. 317330 Niranjan Soundararajan, Aditya Yanamandra, Chrysostomos Nicopoulos, Vijaykrishnan Narayanan, Anand Sivasubramaniam and Mary Jane Irwin, 2008, "Analysis and solutions to issue queue process variation", pp. 1121 Partho Nath, Bhuvan Urgaonkar and Anand Sivasubramaniam, 2008, "Evaluating the usefulness of content addressable storage for high-performance data intensive applications", pp. 3544 Yanyong Zhang and Anand Sivasubramaniam, 2008, "Failure prediction in IBM BlueGene/L event logs", pp. 15 Niranjan Soundararajan, Vijaykrishnan Narayanan and Anand Sivasubramaniam, 2008, "Impact of dynamic voltage and frequency scaling on the architectural vulnerability of GALS architectures", pp. 351356 Amitayu Das, Ritendra Datta, Bhuvan Urgaonkar and Anand Sivasubramaniam, 2008, "Predicting Web Cache Behavior using Stochastic State-Space Models", pp. 609616 Jeonghwan Choi, Sriram Govindan, Bhuvan Urgaonkar and Anand Sivasubramaniam, 2008, "Profiling, Prediction, and Capping of Power Consumption in ConsolidatedEnvironments", pp. 312 Bhuvan Urgaonkar and Anand Sivasubramaniam, 2008, "Project status: RIVER: Resource management infrastructure for consolidated hosting in virtualized data centers", pp. 15 Shiva Chaitanya, Bhuvan Urgaonkar and Anand Sivasubramaniam, 2008, "QDSL: a queuing model for systems with differential service levels", pp. 289300 Hai Lin, Guangyu Sun, Yunsi Fei, Yuan Xie and Anand Sivasubramaniam, 2008, "Thermal-aware Design Considerations for Application-Specific Instruction Set Processor", pp. 6368 Y. Kim, S. Gurumurthi and Anand Sivasubramaniam, 2007, "Graceful Operation of Disk Drives under Thermal Emergencies", Proceedings of the International Conference on Thermal Issues in Emerging Technologies Theory and Application (ThETA 2007), pp. 119-125 Huajing Li, Wang Lee, Anand Sivasubramaniam and Clyde L Giles, 2007, "A Hybrid Cache and Prefetch Mechanism for Scientific Literature Search Engines", pp. 121136 Niranjan Soundararajan, Angshuman Parashar and Anand Sivasubramaniam, 2007, "Mechanisms for bounding vulnerabilities of processor structures", pp. 506515 Jeonghwan Choi, Youngjae Kim, Anand Sivasubramaniam, Jelena Srebric, Qian Wang and Joonwon Lee, 2007, "Modeling and Managing Thermal Profiles of Rack-mounted Servers with ThermoStat", pp. 205215 Huajing Li, Wang Lee, Anand Sivasubramaniam and Clyde L Giles, 2007, "SearchGen: a synthetic workload generator for scientific literature digital libraries and search engines", pp. 137146 Sriram Govindan, Arjun R. Nath, Amitayu Das, Bhuvan Urgaonkar and Anand Sivasubramaniam, 2007, "Xen and co.: communication-aware CPU scheduling for consolidated xen-based hosting platforms", pp. 126136 Yinglung Liang, Yanyong Zhang, Anand Sivasubramaniam, Morris Jette and Ramendra K. Sahoo, 2006, "BlueGene/L Failure Analysis and Prediction Models", pp. 425434 Huajing Li, Isaac G. Councill, Levent Bolelli, Ding Zhou, Yang Song, Wang Lee, Anand Sivasubramaniam and Clyde L Giles, 2006, "CiteSeerchi: a scalable autonomous scientific digital library", pp. 18 Yiyu Chen, Amitayu Das, Anand Sivasubramaniam, Qian Wang, R. Harper and M. Bland, 2006, "Consolidating clients on back-end servers with co-location and frequency control", pp. 383384 Shiva Chaitanya, Kevin R. B. Butler, Anand Sivasubramaniam, Patrick D McDaniel and Murali Vilayannur, 2006, "Design, implementation and evaluation of security in iSCSI-based network storage systems", pp. 1728 Mei Li, Wang Lee and Anand Sivasubramaniam, 2006, "DPTree: A Balanced Tree Based Indexing Framework for Peer-to-Peer Systems", pp. 1221 Chun Liu, Anand Sivasubramaniam, Mahmut T Kandemir and Mary Jane Irwin, 2006, "Enhancing L2 organization for CMPs with a center cell" Isaac G. Councill, Huajing Li, Ziming Zhuang, Sandip Debnath, Levent Bolelli, Wang Lee, Anand Sivasubramaniam and Clyde L Giles, 2006, "Learning metadata from the evidence in an on-line citation matching scheme", pp. 276285 Mei Li, Guanling Lee, Wang Lee and Anand Sivasubramaniam, 2006, "PENS: an algorithm for density-based clustering in peer-to-peer systems", pp. 39 , 2006, "Proceedings of the Joint International Conference on Measurement and Modeling of Computer Systems, SIGMETRICS/Performance 2006, Saint Malo, France, June 26-30, 2006", ACM Angshuman Parashar, Anand Sivasubramaniam and Sudhanva Gurumurthi, 2006, "SlicK: slice-based locality exploitation for efficient redundant multithreading", pp. 95105 Youngjae Kim, Sudhanva Gurumurthi and Anand Sivasubramaniam, 2006, "Understanding the performance-temperature interactions in disk I/O of server workloads", pp. 176186 V. Natarajan, S. Gurumurthi and Anand Sivasubramaniam, 2005, "Is Traditional Power Management + Prefetching == DRPM for Server Disks?", Proceedings of the Eighth Workshop on Computer Architecture Evaluation using Commercial Workloads (CAECW-8), in conjunction with (HPCA-11), pp. 48-56 S. Gurumurthi, A. Parashar and Anand Sivasubramaniam, 2005, "SOS: Using Speculation for Detecting Memory Errors", Proceedings of the First Workshop on High Performance Computing Reliability Issues (HPCRI), in conjunction with HPCA-11 D. Charles Engelhart and Anand Sivasubramaniam, 2005, "Almost Disjunct Codes in Large Scale Multihop Wireless Network Media Access Control", pp. 453463 Jianyong Zhang, Anand Sivasubramaniam, Alma Riska, Qian Wang and Erik Riedel, 2005, "An interposed 2-Level I/O scheduling framework for performance virtualization", pp. 406407 Sudhanva Gurumurthi, Anand Sivasubramaniam and Vivek K. Natarajan, 2005, "Disk Drive Roadmap from the Thermal Perspective: A Case for Dynamic Thermal Management", pp. 3849 Chun Liu, Anand Sivasubramaniam, Mahmut T Kandemir and Mary Jane Irwin, 2005, "Exploiting Barriers to Optimize Power Consumption of CMPs" Yinglung Liang, Yanyong Zhang, Anand Sivasubramaniam, Ramendra K. Sahoo, Jos E. Moreira and Manish Gupta, 2005, "Filtering Failure Logs for a BlueGene/L Prototype", pp. 476485 , 2005, "Job Scheduling Strategies for Parallel Processing, 10th International Workshop, JSSPP 2004, New York, NY, USA, June 13, 2004, Revised Selected Papers", Springer, 3277 Yiyu Chen, Amitayu Das, Wubi Qin, Anand Sivasubramaniam, Qian Wang and Natarajan Gautam, 2005, "Managing server energy and operational costs in hosting centers", pp. 303314 Murali Vilayannur, Anand Sivasubramaniam and Mahmut T Kandemir, 2005, "Pro-active Page Replacement for Scientific Applications: A Characterization", pp. 248257 Murali Vilayannur, Partho Nath and Anand Sivasubramaniam, 2005, "Providing Tunable Consistency for a Parallel File Store" Jianyong Zhang, Anand Sivasubramaniam, Qian Wang, Alma Riska and Erik Riedel, 2005, "Storage Performance Virtualization via Throughput and Latency Control", pp. 135142 , 2004, "2004 International Conference on Dependable Systems and Networks (DSN 2004), 28 June - 1 July 2004, Florence, Italy, Proceedings", IEEE Computer Society Angshuman Parashar, Sudhanva Gurumurthi and Anand Sivasubramaniam, 2004, "A Complexity-Effective Approach to ALU Bandwidth Enhancement for Instruction-Level Temporal Redundancy", pp. 376386 D. Charles Engelhart, Anand Sivasubramaniam, Christopher L. Barrett, Madhav V. Marathe, James P. Smith and Monique Morin, 2004, "A Spatial Analysis of Mobility Models: Application to Wireless Ad Hoc Network Simulation", pp. 3542 Guilin Chen, Mahmut T Kandemir, Vijaykrishnan Narayanan, Anand Sivasubramaniam and Mary Jane Irwin, 2004, "Analyzing heap error behavior in embedded JVM environments", pp. 230235 Ismail Kadayif, Partho Nath, Mahmut T Kandemir and Anand Sivasubramaniam, 2004, "Compiler-directed physical address generation for reducing dTLB power", pp. 161168 Victor De La Luz, Mahmut T Kandemir, Anand Sivasubramaniam and Mary Jane Irwin, 2004, "Exploring the Possibility of Operating in the Compressed Domain", pp. 507515 Ramendra K. Sahoo, Anand Sivasubramaniam, Mark S. Squillante and Yanyong Zhang, 2004, "Failure Data Analysis of a Large-Scale Heterogeneous Server Environment", pp. 772 Adam J. Oliner, Ramendra K. Sahoo, Jos E. Moreira, Manish Gupta and Anand Sivasubramaniam, 2004, "Fault-Aware Job Scheduling for BlueGene/L Systems" Murali Vilayannur, Robert B. Ross, Philip H. Carns, Rajeev Thakur, Anand Sivasubramaniam and Mahmut T Kandemir, 2004, "On the Performance of the POSIX I/O Interface to PVFS", pp. 332339 Chun Liu, Anand Sivasubramaniam and Mahmut T Kandemir, 2004, "Optimizing Bus Energy Consumption of On-Chip Multiprocessors Using Frequent Values", pp. 340 Chun Liu, Anand Sivasubramaniam and Mahmut T Kandemir, 2004, "Organizing the Last Line of Defense before Hitting the Memory Wall for CMP", pp. 176185 Yanyong Zhang, Mark S. Squillante, Anand Sivasubramaniam and Ramendra K. Sahoo, 2004, "Performance Implications of Failures in Large-Scale Cluster Scheduling", pp. 233252 Yiyu Chen, Amitayu Das, Natarajan Gautam, Qian Wang and Anand Sivasubramaniam, 2004, "Pricing and Autonomic Control of Web Servers with Time-Varying Request Patterns", pp. 290291 , 2004, "Proceedings of the 2nd IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis, CODES+ISSS 2004, Stockholm, Sweden, September 8-10, 2004", ACM Mei Li, Wang Lee and Anand Sivasubramaniam, 2004, "Semantic Small World: An Overlay Network for Peer-to-Peer Search", pp. 228238 Jianyong Zhang, Anand Sivasubramaniam, Hubertus Franke, Natarajan Gautam, Yanyong Zhang and Shailabh Nagar, 2004, "Synthesizing Representative I/O Workloads for TPC-H", pp. 142151 G. Chen, M. Kandemir, N. Vijaykrishnan, Anand Sivasubramaniam and M. J. Irwin, 2004, "Analyzing Object Error Behavior in Embedded JVM Environments", Proceedings of the IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and Systems Synthesis (CODES+ISSS'04), pp. 230-235 M. Li, W.-C. Lee and Anand Sivasubramaniam, 2004, "A Small World Overlay Network for Semantic Based Search in P2P Systems", Proceedings of the Second Workshop on Semantics in Peer-to-Peer and Grid Computing (SemPGRID'04), pp. 71-90 M. Li, W.-C. Lee and Anand Sivasubramaniam, 2004, "Efficient Peer to Peer Information Sharing Over Mobile Ad Hoc Networks", Proceedings of the Second WWW Workshop on Emerging Applications for Wireless and Mobile Access (MobEA'04) Christopher L. Barrett, Madhav V. Marathe, D. Charles Engelhart and Anand Sivasubramaniam, 2003, "Approximate Connectivity Graph Generation in Mobile Ad Hoc Radio Networks", pp. 8188 Ramendra K. Sahoo, Adam J. Oliner, Irina Rish, Manish Gupta, Jos E. Moreira, Sheng Ma, Ricardo Vilalta and Anand Sivasubramaniam, 2003, "Critical event prediction for proactive management in large-scale computer clusters", pp. 426435 Yanyong Zhang, Jianyong Zhang, Anand Sivasubramaniam, Chun Liu and Hubertus Franke, 2003, "Decision-Support Workload Characteristics on a Clustered Database Server from the OS Perspective", pp. 386393 Murali Vilayannur, Anand Sivasubramaniam, Mahmut T Kandemir, Rajeev Thakur and Robert B. Ross, 2003, "Discretionary Caching for I/O on Clusters", pp. 96103 Sudhanva Gurumurthi, Anand Sivasubramaniam, Mahmut T Kandemir and Hubertus Franke, 2003, "DRPM: Dynamic Speed Control for Power Mangagement in Server Class Disks", pp. 169179 Sudhanva Gurumurthi, Ning An, Anand Sivasubramaniam, Vijaykrishnan Narayanan, Mahmut T Kandemir and Mary Jane Irwin, 2003, "Energy and Performance Considerations in Work Partitioning for Mobile Spatial Queries", pp. 33 Yanyong Zhang, Antony Yang, Anand Sivasubramaniam and Jos E. Moreira, 2003, "Gang Scheduling Extensions for I/O Intensive Workloads", pp. 183207 Wei Zhang, Sudhanva Gurumurthi, Mahmut T Kandemir and Anand Sivasubramaniam, 2003, "ICR: In-Cache Replication for Enhancing Data Cache Reliability", pp. 291300 Sudhanva Gurumurthi, Jianyong Zhang, Anand Sivasubramaniam, Mahmut T Kandemir, Hubertus Franke, Vijaykrishnan Narayanan and Mary Jane Irwin, 2003, "Interplay of energy and performance for disk arrays running transaction processing workloads", pp. 123132 , 2003, "Job Scheduling Strategies for Parallel Processing, 9th International Workshop, JSSPP 2003, Seattle, WA, USA, June 24, 2003, Revised Papers", Springer, 2862 Mei Li, Wang Lee and Anand Sivasubramaniam, 2003, "Neighborhood Signatures for Searching P2P Networks", pp. 149159 Wei Zhang, Mahmut T Kandemir, Anand Sivasubramaniam and Mary Jane Irwin, 2003, "Performance, energy, and reliability tradeoffs in replicating hot cache lines", pp. 309317 Victor Delaluz, Mahmut T Kandemir, Anand Sivasubramaniam, Mary Jane Irwin and Vijaykrishnan Narayanan, 2003, "Reducing dTLB Energy Through Dynamic Resizing", pp. 358363 , 2002, "16th International Parallel and Distributed Processing Symposium (IPDPS 2002), 15-19 April 2002, Fort Lauderdale, FL, USA, CD-ROM/Abstracts Proceedings", IEEE Computer Society , 2002, "2002 Design, Automation and Test in Europe Conference and Exposition (DATE 2002), 4-8 March 2002, Paris, France", IEEE Computer Society , 2002, "2002 IEEE International Conference on Cluster Computing (CLUSTER 2002), 23-26 September 2002, Chicago, IL, USA", IEEE Computer Society , 2002, "2002 International Conference on Parallel Architectures and Compilation Techniques (PACT 2002), 22-25 September 2002, Charlottesville, VA, USA", IEEE Computer Society , 2002, "29th International Symposium on Computer Architecture (ISCA 2002), 25-29 May 2002, Anchorage, AK, USA", IEEE Computer Society Christopher L. Barrett, Madhav V. Marathe, D. Charles Engelhart and Anand Sivasubramaniam, 2002, "Analyzing the Short-Term Fairness of IEEE 802.11 in Wireless Multi-Hop Radio Networks", pp. 137144 Gokul B. Kandiraju and Anand Sivasubramaniam, 2002, "Characterizing the d-TLB behavior of SPEC CPU2000 benchmarks", pp. 129139 Yanyong Zhang, Anand Sivasubramaniam, Jianyong Zhang, Shailabh Nagar and Hubertus Franke, 2002, "Characterizing the Scalability of Decision-Support Workloads on Clusters and SMP Systems", pp. 355364 Victor Delaluz, Mahmut T Kandemir, Vijaykrishnan Narayanan, Mary Jane Irwin, Anand Sivasubramaniam and Ibrahim Kolcu, 2002, "Compiler-Directed Array Interleaving for Reducing Energy in Multi-Bank Memories", pp. 288 Anand Sivasubramaniam, Mahmut T Kandemir, Vijaykrishnan Narayanan and Mary Jane Irwin, 2002, "Designing Energy-Efficient Software" Ismail Kadayif, Mahmut T Kandemir, Vijaykrishnan Narayanan, Mary Jane Irwin and Anand Sivasubramaniam, 2002, "EAC: A Compiler Framework for High-Level Energy Estimation and Optimization", pp. 436442 , 2002, "Euro-Par 2002, Parallel Processing, 8th International Euro-Par Conference Paderborn, Germany, August 27-30, 2002, Proceedings", Springer, 2400 Ismail Kadayif, Anand Sivasubramaniam, Mahmut T Kandemir, Gokul B. Kandiraju and Guangyu Chen, 2002, "Generating physical addresses directly for saving instruction TLB energy", pp. 185196 Gokul B. Kandiraju and Anand Sivasubramaniam, 2002, "Going the Distance for TLB Prefetching: An Application-Driven Study", pp. 195 Shailabh Nagar, Chun Liu, Gokul B. Kandiraju, Anand Sivasubramaniam and Natarajan Gautam, 2002, "Incorporating Quality-of-Service in the Virtual Interface Architecture" Murali Vilayannur, Mahmut T Kandemir and Anand Sivasubramaniam, 2002, "Kernel-Level Caching for Optimizing I/O by Exploiting Inter-Application Data Sharing", pp. 425 Lin Li, Ismail Kadayif, Yuh-Fang Tsai, Vijaykrishnan Narayanan, Mahmut T Kandemir, Mary Jane Irwin and Anand Sivasubramaniam, 2002, "Leakage Energy Management in Cache Hierarchies", pp. 131140 Mark S. Squillante, Yanyong Zhang, Anand Sivasubramaniam, Natarajan Gautam, Hubertus Franke and Jos E. Moreira, 2002, "Modeling and analysis of dynamic coscheduling in parallel and distributed environments", pp. 4354 , 2002, "Proceedings of the 10th International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS-X), San Jose, California, USA, October 5-9, 2002", ACM Press , 2002, "Proceedings of the 35th Annual International Symposium on Microarchitecture, Istanbul, Turkey, November 18-22, 2002", ACM/IEEE Computer Society , 2002, "Proceedings of the 39th Design Automation Conference, DAC 2002, New Orleans, LA, USA, June 10-14, 2002", ACM , 2002, "Proceedings of the ASPDAC 2002 / VLSI Design 2002, CD-ROM, 7-11 January 2002, Bangalore, India", IEEE Computer Society , 2002, "Proceedings of the Eighth International Symposium on High-Performance Computer Architecture (HPCA02), Boston, Massachusettes, USA, February 2-6, 2002", IEEE Computer Society , 2002, "Proceedings of the International Conference on Measurements and Modeling of Computer Systems, SIGMETRICS 2002, June 15-19, 2002, Marina Del Rey, California, USA", ACM Victor Delaluz, Anand Sivasubramaniam, Mahmut T Kandemir, Vijaykrishnan Narayanan and Mary Jane Irwin, 2002, "Scheduler-based DRAM energy management", pp. 697702 Tao Li, Lizy Kurian John, Anand Sivasubramaniam, Vijaykrishnan Narayanan and Juan Rubio, 2002, "Understanding and improving operating system effects in control flow prediction", pp. 6880 Sudhanva Gurumurthi, Anand Sivasubramaniam, Mary Jane Irwin, Vijaykrishnan Narayanan, Mahmut T Kandemir, Tao Li and Lizy Kurian John, 2002, "Using Complete Machine Simulation for Software Power Estimation: The SoftWatt Approach", pp. 141150 Yanyong Zhang, Hubertus Franke, Jos E. Moreira and Anand Sivasubramaniam, 2001, "An Integrated Approach to Parallel Scheduling Using Gang-Scheduling, Backfilling, and Migration", pp. 133158 Ning An, Anand Sivasubramaniam, Vijaykrishnan Narayanan, Mahmut T Kandemir, Mary Jane Irwin and Sudhanva Gurumurthi, 2001, "Analyzing energy behavior of spatial access methods for memory-resident data", pp. 411420 Mau-Tsuen Yang, Rangachar Kasturi and Anand Sivasubramaniam, 2001, "Automatic Scheduler for Real-Time Vision Applications", pp. 30 Victor Delaluz, Mahmut T Kandemir, Vijaykrishnan Narayanan, Anand Sivasubramaniam and Mary Jane Irwin, 2001, "DRAM Energy Management Using Software and Hardware Directed Power Mode Control", pp. 159169 Vijaykrishnan Narayanan, Mahmut T Kandemir, Soontae Kim, Samarjeet Singh Tomar, Anand Sivasubramaniam and Mary Jane Irwin, 2001, "Energy Behavior of Java Applications from the Memory Perspective", pp. 207220 Aniruddha S. Vaidya, Anand Sivasubramaniam and Chitaranjan Das, 2001, "Impact of virtual channels and adaptive routing on application performance", pp. 223237 , 2001, "Job Scheduling Strategies for Parallel Processing, 7th International Workshop, JSSPP 2001, Cambridge, MA, USA, June 16, 2001, Revised Papers", Springer, 2221 Soontae Kim, Vijaykrishnan Narayanan, Mahmut T Kandemir, Anand Sivasubramaniam, Mary Jane Irwin and E. Geethanjali, 2001, "Power-aware partitioned cache architectures", pp. 6467 , 2001, "Proceedings of the 15th International Parallel & Distributed Processing Symposium (IPDPS-01), San Francisco, CA, April 23-27, 2001", IEEE Computer Society , 2001, "Proceedings of the 17th International Conference on Data Engineering, April 2-6, 2001, Heidelberg, Germany", IEEE Computer Society , 2001, "Proceedings of the 1st Java Virtual Machine Research and Technology Symposium, April 23-24, 2001, Monterey, CA, USA", USENIX , 2001, "Proceedings of the 2001 ACM SIGPLAN-SIGSOFT Workshop on Program Analysis For Software Tools and Engineering, PASTE01, Snowbird, Utah, USA, June 18-19, 2001", ACM , 2001, "Proceedings of the 2001 International Symposium on Low Power Electronics and Design, 2001, Huntington Beach, California, USA, 2001", ACM , 2001, "Proceedings of the ACM SIGCPR Conference on Computer Personnel Research, San Diego, California, USA, 2001", ACM , 2001, "Proceedings of the Seventh International Symposium on High-Performance Computer Architecture (HPCA01), Nuevo Leone, Mexico, January 20-24, 2001", IEEE Computer Society Yanyong Zhang and Anand Sivasubramaniam, 2001, "Scheduling best-effort and real-time pipelined applications on time-shared clusters", pp. 209219 Ning An, Zhen-Yu Yang and Anand Sivasubramaniam, 2001, "Selectivity Estimation for Spatial Joins", pp. 368375 Ismail Kadayif, T. Chinoda, Mahmut T Kandemir, Vijaykrishnan Narayanan, Mary Jane Irwin and Anand Sivasubramaniam, 2001, "vEC: virtual energy counters", pp. 2831 , 2001, "VLDB 2001, Proceedings of 27th International Conference on Very Large Data Bases, September 11-14, 2001, Roma, Italy", Morgan Kaufmann Mary Jane Irwin, Mahmut T Kandemir, Vijaykrishnan Narayanan and Anand Sivasubramaniam, 2000, "A Holistic Approach to System Level Energy Optimization", pp. 88107 Yanyong Zhang, Anand Sivasubramaniam, Jos E. Moreira and Hubertus Franke, 2000, "A simulation-based study of scheduling mechanisms for a dynamic cluster environment", pp. 100109 Ji Jin, Ning An and Anand Sivasubramaniam, 2000, "Analyzing Range Queries on Spatial Data", pp. 525534 Ramesh Radhakrishnan, Vijaykrishnan Narayanan, Lizy Kurian John and Anand Sivasubramaniam, 2000, "Architectural Issues in Java Runtime Systems", pp. 387398 , 2000, "Euro-Par 2000, Parallel Processing, 6th International Euro-Par Conference, Munich, Germany, August 29 - September 1, 2000, Proceedings", Springer, 1900 Yanyong Zhang, Anand Sivasubramaniam, Hubertus Franke and Jos E. Moreira, 2000, "Improving Parallel Job Scheduling by Combining Gang Scheduling and Backfilling Techniques", pp. 133142 , 2000, "Integrated Circuit Design, Power and Timing Modeling, Optimization and Simulation, 10th International Workshop, PATMOS 2000, Gttingen, Germany, September 13-15, 2000, Proceedings", Springer, 1918 Ki Hwan Yum, Aniruddha S. Vaidya, Chitaranjan Das and Anand Sivasubramaniam, 2000, "Investigating QoS Support for Traffic Mixes with the MediaWorm Router", pp. 97106 Shailabh Nagar, Anand Sivasubramaniam, Jorge Rodriguez and Mazin S. Yousif, 2000, "Issues in Designing and Implementing a Scalable Virtual Interface Architecture", pp. 405412 , 2000, "Proceedings of the 14th International Parallel & Distributed Processing Symposium (IPDPS00), Cancun, Mexico, May 1-5, 2000", IEEE Computer Society , 2000, "Proceedings of the 2000 International Conference on Parallel Processing, ICPP 2000, Toronto, Canada, August 21-24, 2000", IEEE Computer Society , 2000, "Proceedings of the Sixth International Symposium on High-Performance Computer Architecture, Toulouse, France, January 8-12, 2000", IEEE Computer Society Yanyong Zhang, Hubertus Franke, Jos E. Moreira and Anand Sivasubramaniam, 2000, "The Impact of Migration on Parallel Job Scheduling for Distributed Systems", pp. 242251 Tao Li, Lizy Kurian John, Vijaykrishnan Narayanan, Anand Sivasubramaniam, Jyotsna Sabarinathan and Anupama Murthy, 2000, "Using complete system simulation to characterize SPECjvm98 benchmarks", pp. 2233 Shailabh Nagar, Ajit Banerjee, Anand Sivasubramaniam and Chitaranjan Das, 1999, "A Closer Look at Coscheduling Approaches for a Network of Workstations", pp. 96105 Aniruddha S. Vaidya, Anand Sivasubramaniam and Chitaranjan Das, 1999, "LAPSES: A Recipe for High Performance Adaptive Router Design", pp. 236243 , 1999, "Network-Based Parallel Computing: Communication, Architecture, and Applications, Third International Workshop, CANPC 99, Orlando, Forida, USA, January 9, 1999, Proceedings", Springer, 1602 , 1999, "Proceedings of the Fifth International Symposium on High-Performance Computer Architecture, Orlando, FL, USA, January 9-12, 1999", IEEE Computer Society Anand Sivasubramaniam and Mario Lauria, 1999, "Third Workshop on Communication, Architecture, and Applications for Network-Based Parallel Computing (CANPC 99)", pp. 320 , 1998, "1998 International Conference on Parallel Processing Workshops, ICPPW98, Minneapolis, Minnesota, August 14, 1998", IEEE Computer Society , 1998, "ACM-GIS 98, Proceedings of the 6th international symposium on Advances in Geographic Information Systems, November 6-7, 1998, Washington, DC, USA", ACM Suneuy Kim, Anand Sivasubramaniam and Chitaranjan Das, 1998, "Analyzing Cache Performance for Video Servers", pp. 3847 Ning An, Liujian Qian, Anand Sivasubramaniam and Tom Keefe, 1998, "Evaluating Parallel R-Tree Implementations on a Network of Workstations (Extended Abstract)", pp. 159160 Shailabh Nagar, Dale Seed and Anand Sivasubramaniam, 1998, "Implementing Protected Multi-User Communication for Myrinet", pp. 3044 , 1998, "Network-Based Parallel Computing: Communication, Architecture, and Applications, Second International Workshop, CANPC 98, Las Vegas, Nevada, USA, January 31 - February 1, 1998, Proceedings", Springer, 1362 Manjunath Bangalore and Anand Sivasubramaniam, 1998, "Remote Subpaging Across a Fast Network", pp. 7487 , 1997, "1997 International Conference on Parallel Processing (ICPP 97), August 11-15, 1997, Bloomington, IL, USA, Proceedings", IEEE Computer Society Dale Seed, Anand Sivasubramaniam and Chitaranjan Das, 1997, "Communication in Parallel Applications: Characterization and Sensitivity Analysis", pp. 446453 Anand Sivasubramaniam, 1997, "Execution-Driven Simulators for Parallel Systems Design", pp. 10211028 Aniruddha S. Vaidya, Anand Sivasubramaniam and Chitaranjan Das, 1997, "Performance Benefits of Virtual Channels and Adaptive Routing: An Application-Driven Study", pp. 140147 , 1997, "Proceedings of the 29th conference on Winter simulation, WSC 1997, Atlanta, GA, USA, December 7-10, 1997", ACM , 1997, "Proceedings of the 3rd IEEE Symposium on High-Performance Computer Architecture (HPCA 97), San Antonio, Texas, USA, February 1-5, 1997", IEEE Computer Society Mangesh Kasbekar, Shailabh Nagar and Anand Sivasubramaniam, 1997, "pSNOW: A Tool to Evaluate Architectural Issues for NOW Environments", pp. 100107 Anand Sivasubramaniam, 1997, "Reducing the Communication Overhead of Dynamic Applications on Shared Memory Multiprocessors", pp. 194203 Sucheta Chodnekar, Viji Srinivasan, Aniruddha S. Vaidya, Anand Sivasubramaniam and Chitaranjan Das, 1997, "Towards a Communication Characterization Methodology for Parallel Applications", pp. 310319 Anand Sivasubramaniam, Aman Singla, Umakishore Ramachandran and H. Venkateswaran, 1995, "Abstracting Network Characteristics and Locality Properties of Parallel Systems", pp. 5463 Umakishore Ramachandran, Gautam Shah, Anand Sivasubramaniam, Aman Singla and Ivan Yanasak, 1995, "Architectural Mechanisms for Explicit Communication in Shared Memory Multiprocessors", pp. 62 Anand Sivasubramaniam, Aman Singla, Umakishore Ramachandran and H. Venkateswaran, 1995, "On Characterizing Bandwidth Requirements of Parallel Applications", pp. 198207 , 1995, "Proceedings of the 1st IEEE Symposium on High-Performance Computer Architecture (HPCA 1995), Raleigh, North Carolina, USA, January 22-25, 1995", IEEE Computer Society , 1995, "Proceedings Supercomputing 95, San Diego, CA, USA, December 4-8, 1995", IEEE Computer Society / ACM Anand Sivasubramaniam, Aman Singla, Umakishore Ramachandran and H. Venkateswaran, 1994, "An Approach to Scalability Study of Shared Memory Parallel Systems", pp. 171180 Anand Sivasubramaniam, Umakishore Ramachandran and H. Venkateswaran, 1992, "A Computational Model for Message Passing", pp. 358361 , 1992, "Proceedings of the 6th International Parallel Processing Symposium, Beverly Hills, CA, USA, March 1992", IEEE Computer Society Manuscripts A. Gupta, R. Pisolkar, B. Urgaonkar and Anand Sivasubramaniam, , "Leveraging Value Locality in Optimizing NAND Flash-based SSDs" G. Thiagarajan, V. Sarangan, R. Suriyanarayanan, P. Sethuraman, Anand Sivasubramaniam and A. Yegyanarayanan, , "Managing Carbon Footprint of Buildings with ECView", IEEE Computer Research Projects Honors and Awards Service Service to Penn State: Service to External Organizations: diff --git a/src/data/compiled_bios/1526.txt b/src/data/compiled_bios/1526.txt new file mode 100644 index 0000000000..e5f92ae68d --- /dev/null +++ b/src/data/compiled_bios/1526.txt @@ -0,0 +1 @@ + Brad Sottile Lecturer Affiliation(s): School of Electrical Engineering and Computer Science Computer Science and Engineering W112 Westgate Building bjs5332@psu.edu 814-865-0165 Personal or Departmental Website Research Areas: Education BS, Aerospace Engineering, The Pennsylvania State University, 2011 MS, Aerospace Engineering, The Pennsylvania State University, 2013 Publications Research Projects June2016-May2018,"Scaling for the Future: Development of a Sustainable Model for Teaching MATLAB Programming to STEM Students,"(Sponsor:Leonhard Center for the Enhancement of Engineering Education, College of Engineering). Honors and Awards Service Service to Penn State: Administrative Support Work, Other, Faculty Scholar, General Education Faculty Scholar, Office of the Vice President and Dean for Undergraduate Education, November 2017 Committee Work, Member, Department of Computer Science and Engineering, Undergraduate Advising Committee, August 2017 Participation in Recruitment and Retention Activities, Evaluator, Schreyer Honors College, Faculty Selection Committee, November 2017 Committee Work, Member, Ad Hoc Working Group on Engineering Graduate Degrees, February 2016 - May 2016 Assistance to Student Organizations, Faculty Advisor, Engineering Graduate Student Council (EGSC), September 2014 - September 2016 Service to External Organizations: Participation in or Service to Professional and Learned Societies, Other, Session Chairperson, American Society for Engineering Education, October 2017 - October 2017 Service to Governmental Agencies, Other, Intern, Space Scholar, Air Force Research Laboratory, May 2014 - August 2014 diff --git a/src/data/compiled_bios/1527.txt b/src/data/compiled_bios/1527.txt new file mode 100644 index 0000000000..317da20539 --- /dev/null +++ b/src/data/compiled_bios/1527.txt @@ -0,0 +1 @@ + Gang Tan Will Career Development Associate Professor of EECS Affiliation(s): School of Electrical Engineering and Computer Science Computer Science and Engineering W358 Westgate Building gxt29@psu.edu 814-865-7364 Personal or Departmental Website Research Areas: Interest Areas: Software security, programming languages, computer security, software engineering, formal methods, program verification. Education BE, Computer Science, Tsinghua University, 1999 Ph D, Computer Science, Princeton University, 2005 Publications Book, Chapters Gang Tan and B. Niu, 2018, Protecting Dynamic Code, pp. 25-60 Journal Articles J. Yin, Gang Tan, H. Li, X. Bai, Y. P. Wang and S. M. Hu, 2019, "Debugopt: Debugging fully optimized natively compiled programs using multistage instrumentation", 169, pp. 1832 Gang Tan and G. Morrisett, 2018, "Bidirectional Grammars for Machine-Code Decoding and Encoding", Journal of Automated Reasoning, 60, (3), pp. 257--277 Y. Fan, S. Liu, Gang Tan and X. Lin, 2018, "one Constant-size {CPABE} Access Control scheme in Trusted Execution Environment", International Journal of Computational Science and Engineering Fan Yongkai, Shengle Liu, Gang Tan and Fei Qiao, 2018, "Fine-Grained Access Control Based on Trusted Execution Environment", Future Generation Computer Systems Gang Tan, 2017, "Principles and implementation techniques of software-based fault isolation", Foundations and Trends in Privacy and Security, 1, (3), pp. 137-198 Gang Tan and Greg Morrisett, 2017, "Bidirectional Grammars for Machine-Code Decoding and Encoding", Journal of Automated Reasoning Tian Ke, Danfeng Yao, Barbara Rider, Gang Tan and Guojun Peng, 2017, "Detection of Repackaged Android Malware with Code-Heterogeneity Features", IEEE Transactions on Dependable and Secure Computing Gang Tan, 2015, "JNI light: an operational model for the core JNI", Mathematical Structures in Computer Science, 25, (4), pp. 805840 Siliang Li and Gang Tan, 2014, "Exception analysis in the Java Native Interface", Science of Computer Programming, 89, pp. 273297 Mengtao Sun, Gang Tan, Joseph Siefers, Bin Zeng and Greg Morrisett, 2013, "Bringing Javas wild native world under control", ACM Transactions on Information Systems and Security, 16, (3), pp. 9:19:28 Edward Kim, Xiaolei Huang and Gang Tan, 2011, "Markup SVG - An Online Content-Aware Image Abstraction and Annotation Tool", IEEE Transactions on Multimedia, 13, (5), pp. 9931006 Gang Tan, Zhong Shao, Xinyu Feng and Hongxu Cai, 2011, "Weak updates and separation logic", New Generation Compting, 29, (1), pp. 329 Amal Ahmed, Andrew Appel, Chris Richards, Kedar Swadi, Gang Tan and Daniel Wang, 2010, "Semantic Foundations for Typed-Assembly Languages", ACM Transactions on Programming Languages and Systems, 32, (3), pp. 1-67 Conference Proceedings Gang Tan, Robert Brotzman, Shen Liu, Danfeng Zhang and Mahmut T Kandemir, 2019, "CaSym: Cache Aware Symbolic Execution for Side Channel Detection and Mitigation", pp. 364--380 Paul Muntean, Matthias Fischer, Gang Tan, Zhiqiang Lin, Jens Grossklags and Claudia Eckert, 2018, "tauCFI: Type-Assisted Control Flow Integrity for x86-64 Binaries", pp. 423--444 Y. Fan, S. Liu, Gang Tan, X. Lin, G. Zhao and J. Bai, 2018, "One Secure Access Scheme Based on Trusted Execution Environment", pp. 16-21 Z. B. Celik, L. Babun, A. K. Sikder, H. Aksu, Gang Tan, P. McDaniel and A. S. Uluagac, 2018, "Sensitive Information Tracking in Commodity IoT", pp. 16871704 Z. B. Celik, Patrick D McDaniel and Gang Tan, 2018, "Soteria: Automated IoT Safety and Security Analysis", pp. 147--158 D. Zeng and Gang Tan, 2018, "From Debugging-Information Based Binary-Level Type Inference to CFG Generation", pp. 366--376 Shen Liu, Gang Tan and Trent R Jaeger, 2017, "PtrSplit: Supporting general pointers in automatic program partitioning", pp. 23592371 Gang Tan and Trent R Jaeger, 2017, "CFG construction soundness in control-flow integrity", pp. 3-13 Tian Ke, Gang Tan, Danfeng Yao and Barbara Rider, 2017, "ReDroid: Prioritizing data flows and sinks for app security transformation", ACM Workshop on Forming an Ecosystem Around Software Transformation (FEAST), pp. 35-41 Gang Tan and Greg Morrisett, 2016, "Bidirectional Grammars for Machine-Code Decoding and Encoding", pp. 7389 Divya Muthukumaran, Nirupama Talele, Trent R Jaeger and Gang Tan, 2015, "Producing Hook Placements to Enforce Expected Access ControlPolicies" Ben Niu and Gang Tan, 2015, "Per-Input Control-Flow Integrity", pp. 914926 Vinod Ganapathy, Trent R Jaeger, Christian Skalka and Gang Tan, 2014, "Assurance for Defense-in-Depth via Retrofitting" Siliang Li and Gang Tan, 2014, "Finding Reference-Counting Errors in Python/C Programs with Affine Analysis" Ben Niu and Gang Tan, 2014, "Modular Control Flow Integrity", pp. 577587 Ben Niu and Gang Tan, 2014, "RockJIT: Securing Just-In-Time Compilation Using Modular Control-Flow Integrity", pp. 13171328 Mengtao Sun and Gang Tan, 2014, "Nativeguard: Protecting android applications from third-party native libraries", pp. 165176 Ben Niu and Gang Tan, 2013, "Efficient user-space information flow control", pp. 131142 Ben Niu and Gang Tan, 2013, "Monitor Integrity Protection with Space Efficiency and Separate Compilation" Bin Zeng, Gang Tan and Ulfar Erlingsson, 2013, "Strato: A Retargetable Framework for Low-Level Inlined-Reference Monitors", pp. 369382 Ben Niu and Gang Tan, 2012, "Enforcing User-Space Privilege Separation with Declarative Architectures", pp. 920 Siliang Li, David Yu Liu and Gang Tan, 2012, "JATO: Native Code Atomicity for Java", pp. 217 Mengtao Sun and Gang Tan, 2012, "JVM-Portable Sandboxing of Javas Native Libraries", pp. 842858 Greg Morrisett, Gang Tan, Joseph Tassarotti, Jean-Baptiste Tristan and Edward Gan, 2012, "RockSalt: Better, Faster, Stronger SFI for the x86", pp. 395404 Bin Zeng, Gang Tan and Greg Morrisett, 2011, "Combining control-flow integrity and static analysis for efficient and validated data sandboxing", pp. 2940 Siliang Li and Gang Tan, 2011, "JET: Exception checking in the Java Native Interface", pp. 345358 Gang Tan, 2010, "JNI Light: An Operational Model for the Core JNI", pp. 114130 Joseph Siefers, Gang Tan and Greg Morrisett, 2010, "Robusta: Taming the Native Beast of the JVM", pp. 201211 Siliang Li and Gang Tan, 2009, "Finding bugs in exceptional situations of JNI programs", pp. 442452 Gang Tan, Zhong Shao, Xinyu Feng and Hongxu Cai, 2009, "Weak updates and separation logic", pp. 178193 Gang Tan and Jason Croft, 2008, "An empirical security study of the native code in the JDK", pp. 365377 Gang Tan and Greg Morrisett, 2007, "ILEA: Inter-Language Analysis across Java and C", pp. 3956 Gang Tan and Andrew Appel, 2006, "A Compositional Logic for Control Flow.", SPRINGER, SPADDRESS, 3855, pp. 8094 Gang Tan, Andrew Appel, Srimat Chakradhar, Anand Raghunathan, Srivaths Ravi and Daniel Wang, 2006, "Safe Java Native Interface", pp. 97106 Gang Tan, Andrew Appel, Kedar Swadi and Dinghao Wu, 2004, "Construction of a Semantic Model for a Typed Assembly Language", SPRINGER, SPADDRESS, 2937, pp. 3043 Xinming Ou, Gang Tan, Yitzhak Mandelbaum and David Walker, 2004, "Dynamic Typing with Dependent Types.", pp. 437450 Gang Tan, Xinming Ou and David Walker, 2003, "Enforcing Resource Usage Protocols via Scoped Methods." Technical Reports Gang Tan, 2010, "JNI Light: An Operational Model for the Core JNI (Technical Report)" Research Projects September2017-August2020,"CAPA: Collaborative Research: Lightweight Abstract Memory Features,"(Sponsor:National Science Foundation). July2017-June2020,"Semantics-Directed Binary Reverse Engineering and Transformation Validation,"(Sponsor:Office of Naval Research). September2017-September2018,"Automatic Generation of Anti-Specifications from Exploits for Scalable Program Hardening,"(Sponsor:Virginia Polytechnic Institute and State University). September2017-August2018,"CAPA: Collaborative Research: Lightweight Abstract Memory Features,"(Sponsor:Intel Corp.). January2016-August2018,"TWC: Medium: Collaborative: Retrofitting Software for Defense-in-Depth,"(Sponsor:National Science Foundation). January2016-December2017,"CAREER: User-Space Protection Domains for Compositional Information Security,"(Sponsor:National Science Foundation). Honors and Awards James F. Will Career Development Professorship, Penn State, January 2016 - December 2018 NSF CAREER Award, National Science Foundation, January 2012 - December 2017 Service Service to Penn State: Committee Work, Chairperson, Colloquium Committee, August 2017 - July 2018 Committee Work, Member, Strategic Committee, August 2017 - May 2020 Committee Work, Member, Tenure and Promotion Committee, August 2017 - July 2018 Committee Work, Member, Engineering Faculty Council, August 2016 - August 2019 Committee Work, Member, Institute for CyberScience Coordinating committee, August 2016 - July 2017 Service to External Organizations: diff --git a/src/data/compiled_bios/1528.txt b/src/data/compiled_bios/1528.txt new file mode 100644 index 0000000000..912bc9abd5 --- /dev/null +++ b/src/data/compiled_bios/1528.txt @@ -0,0 +1 @@ + Conrad Tucker Associate Professor Affiliation(s): School of Engineering Design, Technology and Professional Programs Engineering Design Industrial and Manufacturing Engineering Computer Science and Engineering 213N Hammond Building cst14@psu.edu 814-865-2952 Personal or Departmental Website Google Scholars Website Research Areas: Engineering Design, Human Factors/Ergonomics, Manufacturing Interest Areas: Data Mining-Driven Design, Social Network Modeling, Text Mining, Machine Vision, Systems Design Optimization Education BS, Mechanical Engineering, Rose-Hulman Institute of Technology, IN, 2004 MS, Industrial Engineering, University of Illinois at Urbana-Champaign, IL, 2007 MBA, Business, University of Illinois at Urbana-Champaign, IL, 2009 Ph D, Industrial Engineering, University of Illinois at Urbana-Champaign, IL, 2011 Publications Book, Chapters Christian Lopez and Conrad S Tucker, 2019, Mining Facial Keypoint Data: The Quest Toward Personalized Engineering Applications, Springer, Cham, pp. 97--112 Conrad S Tucker, 2013, Quantifying the Relevance of Product Feature Classification in Product Family Design, Springer, New York, USA, pp. 147177 Journal Articles Zixuan Victoria Zhao, Christian E Lopez and Conrad S Tucker, 2019, "Evaluating The Impact Of Idea Dissemination Methods On Information Loss" Christian E Lopez, Scarlett Rae Miller and Conrad S Tucker, 2019, "Exploring biases between human and machine generated designs", Journal of Mechanical Design, 141, (2), pp. 021104 Christian E Lopez and Conrad S Tucker, 2019, "The effects of player type on performance: A gamification case study", Computers in Human Behavior, 91, pp. 333--345 Christian Lopez and Conrad S Tucker, 2018, "Towards Personalized Adaptive Gamification: A Machine Learning Model for Predicting Performance", IEEE Transactions on Games Sunghoon Lim, Conrad S Tucker, Kathryn W Jablokow and Bart Pursel, 2018, "A semantic network model for measuring engagement and performance in online learning platforms", Computer Applications in Engineering Education, 26, (5), pp. 1481--1492 Sakthi Kumar Arul Prakash and Conrad S Tucker, 2018, "Bounded Kalman filter method for motion-robust, non-contact heart rate estimation", Biomedical Optics Express, 9, (2), pp. 873--897 Christian Lopez, Scott Tucker, Tarik Salameh and Conrad S Tucker, 2018, "An unsupervised machine learning method for discovering patient clusters based on genetic signatures", Journal of biomedical informatics, 85, pp. 30--39 Suppawong Tuarob, Sunghoon Lim and Conrad S Tucker, 2018, "Automated Discovery of Product Feature Inferences Within Large-Scale Implicit Social Media Data", Journal of Computing and Information Science in Engineering, 18, (2), pp. 021017 Suppawong Tuarob, Ray Strong, Anca Chandra and Conrad S Tucker, 2018, "Discovering Discontinuity in Big Financial Transaction Data", ACM Transactions on Management Information Systems (TMIS), 9, (1), pp. 3 Kevin Lesniak and Conrad S Tucker, 2018, "Dynamic Rendering of Remote Indoor Environments Using Real-Time Point Cloud Data", Journal of Computing and Information Science in Engineering, 18, (3), pp. 031006 Sung Woo Kang and Conrad S Tucker, 2018, "Exploring the correlation between new function attributes mined from different product domains and market sales", The Engineering Economist, 63, (2), pp. 113--142 Matthew Dering, Conrad S Tucker and Soundar R Tirupatikumara, 2018, "An Unsupervised Machine Learning Approach To Assessing Designer Performance During Physical Prototyping", Journal of Computing and Information Science In Engineering (JCISE), 18, (1) David A Broniatowski and Conrad S Tucker, 2017, "Assessing causal claims about complex engineered systems with quantitative data: internal, external, and construct validity", Systems Engineering, 20, (6), pp. 483--496 Junfeng Ma, Conrad S Tucker, Gul Okudan Kremer and Kathy Jackson, 2017, "Exposure to Digital and Hands-on Delivery Modes in Engineering Design Education and Their Impact on Task Completion Efficiency", Journal of Integrated Design and Process Science, (Preprint), pp. 1--18 Todd Bodnar, Matthew Dering, Conrad S Tucker and Kenneth Hopkinson, 2017, "Using Large Scale Social Media Networks as a Scalable Sensing System for Modeling Real Time Energy Utilization Patterns", IEEE Systems Man and Cybernetics, 47, (10) Sunghoon Lim and Conrad S Tucker, 2017, "Mitigating Online Product Rating Biases Through the Discovery of Optimistic, Pessimistic, and Realistic Reviewers", Journal of Mechanical Design, 139, (11), pp. 111409 Abhinav Singh and Conrad S Tucker, 2017, "A Machine Learning Approach to Product Review Disambiguation Based on Function, Form and Behavior Classification", Decision Support Systems, 97, pp. 81-91 S Kang and Conrad S Tucker, 2017, "Exploring the Correlation Between New Function Attributes Mined from Different Product Domains and Market Sales", Engineering Economist, pp. 1-30 Sunghoon Lim, Conrad S Tucker and Soundar R Tirupatikumara, 2017, "An Unsupervised Machine Learning Model for Discovering Latent Infectious Diseases Using Social Media Data", Journal of Biomedical Informatics, 66, pp. 82-94 Kevin Lesniak, Janis Terpenny, Conrad S Tucker, Chimay Anumba, Bilen and Sven, 2017, "Immersive Distributed Design Through Real-Time Capture, Translation, and Rendering of Three-Dimensional Mesh Data", Journal of Computing and Information Science in Engineering, 17, (3), pp. 031010 Suppawong Tuarob, Conrad S Tucker, Soundar Kumara, Clyde L Giles, Aaron L Pincus, David E Conroy and Nilam Ram, 2017, "How are you feeling?: A personalized methodology for predicting mental states from temporally observable physical and behavioral information", Journal of Biomedical Informatics, 68, pp. 1--19 David A Munoz, Mehmet Serdar Kilinc, Harriet B Nembhard, Conrad S Tucker and Xuemei Huang, 2017, "Evaluating the cost-effectiveness of an early detection of Parkinson's disease through innovative technology", The Engineering Economist, 62, (2), pp. 180--196 Christian E Lopez and Conrad S Tucker, 2017, "A quantitative method for evaluating the complexity of implementing and performing game features in physically-interactive gamified applications", Computers in Human Behavior, 71, pp. 42--58 Shruthi Bezawada, Qianyu Hu, Allison Gray, Timothy R. Brick and Conrad S Tucker, 2017, "Automatic Facial Feature Extraction for Predicting Designers Comfort with Engineering Equipment during Prototype Creation", ASME Journal of Mechanical Design, 139, (2) Matthew Dering and Conrad S Tucker, 2017, "A Convolutional Neural Network Model for Predicting a Product's Function, Given its Form", Journal of Mechanical Design, 139, (11) Junfeng Ma, Conrad S Tucker, Gul Kremer and Kathy Jackson, 2017, "Exposure to Digital VS Hands-on Models of STEM Education Delivery and the Impact on Project Completion Efficiency", Journal of Integrated Design and Process Science, pp. 1-18 Ajay Bharathi, Abhinav Singh, Conrad S Tucker and Harriet B Nembhard, 2016, "Knowledge Discovery of Game Design Features By Mining User-Generated Feedback", Computers in Human Behavior, 60, pp. 361-371 Sunghoon Lim and Conrad S Tucker, 2016, "A Bayesian Sampling Method for Product Feature Extraction from Large Scale Textual Data", ASME Journal of Mechanical Design, 138, (6), pp. 061403 David Munoz and Conrad S Tucker, 2016, "Modeling the Semantic Structure of Textually-Derived Learning Content and its Impact on Recipients Response States", ASME Journal of Mechanical Design, 138, (4) S Kang and Conrad S Tucker, 2016, "An Automated Approach To Quantifying Functional Interactions By Mining Large-Scale Product Specification Data", Journal of Engineering Design, 27, (1-3), pp. 1-24 Conrad S Tucker, Yixiang Han, H Nembhard, M Lewis, N Sterling, Wang-Chein Lee and X Huang, 2015, "A Data Mining Methodology For Predicting Early Stage Parkinson's Disease Using Non-Invasive, High Dimensional Motion Sensor Data", IIE Transactions on Healthcare Systems Engineering, 5, (4), pp. 238-254 Conrad S Tucker, Ishan Behoora, H Nembhard, M Lewis, N Sterling and X Huang, 2015, "Machine Learning Classification of Medication Adherence in Patients with Movement Disorders Using Non-Wearable Sensors", Computers in Biology and Medicine, 66, pp. 120-134 Suppawong Tuarob and Conrad S Tucker, 2015, "Automated Discovery of Lead Users and Latent Product Features By Mining Large Scale Social Media Networks", ASME Journal of Mechanical Design, 137, (7), pp. 071402 Suppawong Tuarob and Conrad S Tucker, 2015, "Quantifying Product Favorability and Extracting Notable Product Features Using Large Scale Social Media Data", ASME Journal of Computing and Information Science in Engineering, 15, (3), pp. 031003. Khashayar Kotobi, Philip B. Mainwaring, Conrad S Tucker and Sven G Bilen, 2015, "Data-throughput Enhancement Using Data MiningInformed Cognitive Radio", Multidisciplinary Digital Publishing Institute: Special Issue: Cognitive Radio: Use the Spectrum in a More Efficient Way, 4, (2), pp. 221-238 Ishan Behoora and Conrad S Tucker, 2015, "Machine Learning Classification of Design Team Members' Body Language Patterns For Real Time Emotional State Detection", Design Studies, 39, pp. 100-127 Sung Woo Kang, Chinmay Sane, Nitish Vasudevan and Conrad S Tucker, 2014, "Product Resynthesis: Knowledge Discovery of the Value of End-of-Life Assemblies and Subassemblies", ASME Journal of Mechanical Design, 136, (1), pp. 011004 Conrad S Tucker, Bart Pursel and Anna Divinsky, 2014, "Mining Student-Generated Textual Data in MOOCS And Quantifying Their Effects on Student Performance and Learning Outcomes", ASEE Computers in Education Journal (CoEd), 5, (4) S Tuarob, Conrad S Tucker, M Salathe and N Ram, 2014, "An Ensemble Heterogeneous Classification Methodology for Discovering Health-Related Knowledge in Social Media Messages", Journal of Biomedical Informatics, 49, pp. 255-268 Conrad S Tucker and Harrison M Kim, 2011, "Trend mining for predictive product design", ASME Journal of Mechanical Design, 133, (11), pp. 111008 Conrad S Tucker, Harrison M Kim, Douglas E Barker and Yuanhui Zhang, 2010, "A ReliefF attribute weighting and X-means clustering methodology for top-down product family optimization", Engineering Optimization, 42, (7), pp. 593616 Conrad S Tucker and H. M. Kim, 2009, "Data-Driven Product Portfolio Design Through Decision Tree Data Mining and Multi-Level Optimization", ASME Journal of Computing And Information Science In Engineering (JCISE), 9, (4) Conrad S Tucker and Harrison M Kim, 2008, "Optimal product portfolio formulation by merging predictive data mining with multilevel optimization", ASME Journal of Mechanical Design, 130, (4), pp. 041103 Conference Proceedings Matthew Dering, Chonghan Lee, Kenneth M Hopkinson and Conrad S Tucker, 2018, "A Deep Learning Model for Mining Object-Energy Correlations Using Social Media Image Data", American Society of Mechanical Engineering, pp. V01BT02A017--V01BT02A017 Matthew Dering, James Cunningham, Raj Desai, Michael A Yukish, Timothy W Simpson and Conrad S Tucker, 2018, "A Physics-Based Virtual Environment for Enhancing the Quality of Deep Generative Designs", pp. V02AT03A015--V02AT03A015 James Cunningham and Conrad S Tucker, 2018, "A Validation Neural Network (VNN) Metamodel for Predicting the Performance of Deep Generative Designs", pp. V02BT03A037--V02BT03A037 Victoria Zhao and Conrad S Tucker, 2018, "Categorization of Information Loss During the Dissemination of Design Ideas", pp. V01AT02A033--V01AT02A033 John K Ostrander, Conrad S Tucker, Timothy W Simpson and Nicholas A. Meisel, 2018, "Evaluating the Effectiveness of Virtual Reality As an Interactive Educational Resource for Additive Manufacturing", pp. V003T04A018--V003T04A018 Christian Lopez, Scarlett Rae Miller and Conrad S Tucker, 2018, "Human validation of computer vs human generated design sketches" Kevin Lesniak and Conrad S Tucker, 2018, "Real-Time Occlusion Between Real and Digital Objects in Augmented Reality", pp. V01BT02A026--V01BT02A026 Conrad S Tucker, 2017, "Generative Adversarial Networks for Increasing the Veracity of Big Data", 2017 IEEE International Conference on Big Data Kevin Lesniak and Conrad S Tucker, 2017, "Connecting the Real-World and the Virtual World Through Dynamic Environment Rendering", ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, American Society of Mechanical Engineering (ASME), pp. V001T02A064--V001T02A064 Christian E Lopez and Conrad S Tucker, 2017, "From Mining Affective States to Mining Facial Keypoint Data: The Quest Towards Personalized Feedback", ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, American Society of Mechanical Engineering (ASME), pp. V001T02A039--V001T02A039 Christine A Toh, Elizabeth M Starkey, Conrad S Tucker and Scarlett Rae Miller, 2017, "Mining for Creativity: Determining the Creativity of Ideas Through Data Mining Techniques", ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, American Society of Mechanical Engineering (ASME), pp. V007T06A010--V007T06A010 Christian Enmanuel Lopez and Conrad S Tucker, 2017, "Board # 91: When to Provide Feedback? Exploring Human-Co-Robot Interactions in Engineering Environments", 2017 ASEE Annual Conference & Exposition, American Society of Engineering Educatin (ASEE) Conrad S Tucker, Mathew Burrows, Kevin Lesniak and Samuel Klein, 2017, "Cybersecurity Policies and Their Impact on Dynamic Data Driven Application Systems", 2017 IEEE Foundations and Applications of Self Systems (FAS W), Institute of Electrical and Electronics Engineers, pp. 363--365 Elizabeth M Starkey, Cailyn Spencer, Kevin Lesniak, Conrad S Tucker and Scarlett Rae Miller, 2017, "Do Technological Advancements Lead to Learning Enhancements?: An Exploration in Virtual Product Dissection", pp. V003T04A005--V003T04A005 Sunghoon Lim, Conrad S Tucker, Kathryn W Jablokow and Bart Pursel, 2017, "Quantifying the Mismatch Between Course Content and Students? Dialogue in Online Learning Environments", ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, American Society of Mechanical Engineering (ASME), pp. V003T04A016--V003T04A016 Dering L. Matthew and Conrad S Tucker, 2017, "Board# 146: Early Predicting of Student Struggles Using Body Language", 2017 ASEE Annual Conference & Exposition, American Society of Engineering Educatin (ASEE) Matthew Dering and Conrad S Tucker, 2017, "Implications of Generative Models in Government", 2017 AAAI Fall Symposium Series, Association for the Advancement of Artificial Intelligence Adam Mohammed, Torre Viola, Conrad S Tucker and Jose Duarte, 2016, "Towards Co-Robot Navigation in Manufacturing Environments through Machine Learning of Human Movement Patterns", 2016 International Conference on Sustainable Smart Manufacturing (S2M) Kevin Lesniak, Conrad S Tucker, Sven G Bilen, Janis Terpenny and Chimay Anumba, 2016, "Networked, Real Time Translation of 3D Mesh Data to Immersive Virtual Reality Environments", ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, New York, USA Qianyu Hu, Shruthi Bezawada, Allison Gray, Conrad S Tucker and Timothy R. Brick, 2016, "Exploring the Link between Task Complexity and Students Affective States during Engineering Laboratory Activities", ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, New York, USA Sung Woo Kang and Conrad S Tucker, 2016, "Automated Mapping of Product Features Mined from Online Customer Reviews to Engineering Product Characteristics", ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, New York, USA David Broniatowski and Conrad S Tucker, 2016, "The Role of Big Data and Associated Theory in Complex Engineered Systems", 5th International Engineering Systems Symposium: Council of Engineering Systems Universities (CESUN), Washington D.C., USA Suppawong Tuarob and Conrad S Tucker, 2016, "Automated discovery of product preferences in ubiquitous social media data: A case study of automobile market", pp. 1--6 Suppawong Tuarob, Conrad S Tucker, Nilam Ram and Marcel Salathe, 2015, "Modeling Individual-Level Infection Dynamics Using Social Network Information", ACM International Conference on Information and Knowledge Management (CIKM 2015) Suppawong Tuarob and Conrad S Tucker, 2015, "A Product Feature Inference Model Based For Mining Implicit Customer Preferences Within Large Scale Social Media Networks", ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference Abhinav Singh and Conrad S Tucker, 2015, "Investigating the Heterogeneity of Product Feature Preferences Mined Using Online Product Data Streams", ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference Ajay Bharathi and Conrad S Tucker, 2015, "Investigating the Impact of Interactive Immersive Virtual Reality Environments in Enhancing Online Engineering Design Activities", ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference Matthew Dering and Conrad S Tucker, 2015, "A Computer Vision Approach for Automatically Mining and Classifying End of Life Products and Components", ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, New York, USA Bryan Dickens, Steven Sellers, Gabe Harms, Owen Shartle and Conrad S Tucker, 2015, "A Proposed Virtual Reality Approach for Minimizing Information Loss in Multi-User, Scalable Environments", ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference Sung Woo Kang and Conrad S Tucker, 2015, "Automated Concept Generation Based On Function-Form Synthesis", ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference Suppawong Tuarob, Conrad S Tucker, R. Strong, J. Blomberg, A. Chandra, P. Chowdhary and S. Oh, 2015, "Automatic Discovery of Service Name Replacements using Ledger Data", Proceedings of the 2015 IEEE International Conference on Services Computing 2015 (SCC 2015) Conrad S Tucker and Soundar R Tirupatikumara, 2015, "An Automated Object-Task Mining Model for Providing Students with Real Time Performance Feedback", Proceedings of the 2015 American Society of Engineering Education Eric Loken, Zita Oravecz, Conrad S Tucker and Fridolin Jakob Linder, 2015, "Psychometric Analysis of Residence and MOOC Assessments", Proceedings of the 2015 American Society of Engineering Education Suppawong Tuarob and Conrad S Tucker, 2015, "A product feature inference model for mining implicit customer preferences within large scale social media networks", pp. V01BT02A002--V01BT02A002 Bryan Dickens, Steven Sellers, Gabe Harms, Owen Shartle and Conrad S Tucker, 2015, "A Virtual Reality Approach for Minimizing Information Loss in Multi-User, Scalable Environments", pp. V01BT02A014--V01BT02A014 Bharathi, Ajay Karthic B Gopinath and Conrad S Tucker, 2015, "Investigating the impact of interactive immersive virtual reality environments in enhancing task performance in online engineering design activities", pp. V003T04A004--V003T04A004 R Koffer, Nilam Ram, TR Brick, David M Almeida and Conrad S Tucker, 2015, "Machine Learning And Gerontology: Boosted Regression Trees Predict Age Differences In Stressor Experience", 55, pp. 461--462 Suppawong Tuarob, Wanghuan Chu, Dong Chen and Conrad S Tucker, 2015, "Twittdict: Extracting social oriented keyphrase semantics from twitter", pp. 25--31 K Sung, Joonho Chang, Z Ridall, H Kalkis, Conrad S Tucker, Z Roja and Andris Freivalds, 2015, "Validation of the Kinect System for Industrial Motion Analysis", 9, pp. 14 Todd Bodnar, Conrad S Tucker, Kenneth Hopkinson and Sven G Bilen, 2014, "Increasing the veracity of event detection on social media networks through user trust modeling", Big Data (Big Data), 2014 IEEE International Conference on, pp. 636643 David A Munoz and Conrad S Tucker, 2014, "Assessing Students Emotional States: An Approach to Identify Lectures That Provide an Enhanced Learning Experience", ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, pp. V003T04A006V003T04A006 S Tuarob and Conrad S Tucker, 2014, "Discovering Next Generation Product Innovations By Identifying Lead User Preferences Expressed Through Large Scale Social Media Data", ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference Conrad S Tucker, B Dickens and A Divinsky, 2014, "Knowledge Discovery of Student Sentiments in MOOCs and their Impact on Course Performance", ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference K Doll and Conrad S Tucker, 2014, "Mining End-Of-Life Materials Suitable For Material Resynthesis And Discovering New Application Domains", ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference Conrad S Tucker, D St. John, I Behoora and A Marcireau, 2014, "Open Source 3D Scanning and Printing for Design Conceptualization and Realization", ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference I Behoora and Conrad S Tucker, 2014, "Quantifying Emotional States Based On Body Language Data Using Non Invasive Sensors", ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference Suja John and Conrad S Tucker, 2014, "Quantifying the Price and Demand of Subassemblies in the End of Life Strategy of Product Resynthesis", ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference Conrad S Tucker, Kathy Jackson, G Kremer and L Schmidt, 2014, "The Evolution of Tactile and Virtual Learning Preferences in Undergraduate Engineering Education", 2014 American Society of Engineering Education Conference Conrad S Tucker, B Pursel and A Divinsky, 2014, "Mining Student-Generated Textual Data in MOOCS And Quantifying Their Effects on Student Performance and Learning Outcomes", 2014 American Society of Engineering Education (ASEE) Conference K Lewis, D Moore-Russo, P Cormier, A Olewnik, G Kremer, Conrad S Tucker and T Simpson, 2014, "Assessment of Product Archaeology as a Framework for Contextualizing Engineering Design", 2014 American Society of Engineering Education P Yin, N Ram, W Lee, Conrad S Tucker, S Khandelwal and M Salathe, 2014, "Two sides of a coin: Separating Personal Communication and Public Dissemination Accounts in Twitter", 2014 The Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) T Bodnar, V Barclay, N Ram, Conrad S Tucker and M Salathe, 2014, "On the Ground Validation of Online Diagnosis with Twitter and Medical Records", Proceedings of the companion publication of the 23rd international conference on World wide web companion. International World Wide Web Conferences Steering Committee PHDA2014/WWW2014 Conrad S Tucker, David B Saint John, Ishan Behoora and Alexandre Marcireau, 2014, "Open source 3d scanning and printing for design capture and realization", pp. V01BT02A013--V01BT02A013 Yixiang Han, Conrad S Tucker, Timothy W Simpson and Erik Davidson, 2013, "A Data Mining Trajectory Clustering Methodology for Modeling Indoor Design Space Utilization", ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, pp. V03BT03A017V03BT03A017 Gautam Manohar and Conrad S Tucker, 2013, "A Privacy Preserving Data Mining Methodology for Dynamically Predicting Emerging Human Threats", ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, pp. V02AT02A069V02AT02A069 Nitish Vasudevan and Conrad S Tucker, 2013, "Digital Representation of Physical Artifacts: The Effect of Low Cost, High Accuracy 3D Scanning Technologies on Engineering Education, Student Learning and Design Evaluation", ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, pp. V001T04A013V001T04A013 Suppawong Tuarob, Conrad S Tucker, Marcel Salathe and Nilam Ram, 2013, "Discovering health-related knowledge in social media using ensembles of heterogeneous features", Proceedings of the 22nd ACM international conference on Conference on information & knowledge management, pp. 16851690 Suppawong Tuarob and Conrad S Tucker, 2013, "Fad or here to stay: Predicting product market adoption and longevity using large scale, social media data", ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, pp. V02BT02A012V02BT02A012 Chinmay Sane and Conrad S Tucker, 2013, "Product Resynthesis as a Reverse Logistics Strategy for an Optimal Closed-Loop Supply Chain", ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, pp. V004T05A017V004T05A017 Kemper Lewis, Deborah Moore-Russo, Phil Cormier, Andrew Olewnik, Gl Kremer, Conrad S Tucker, Tim Simpson and Omar Ashour, 2013, "The Assessment Of Product Archaeology As A Platform For Contextualizing Engineering Design", ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, pp. V001T04A024V001T04A024 K. Jackson, Conrad S Tucker and G. Kremer, 2013, "Student Perceptions of Tactile and Virtual Learning Approaches: What Can We Learn from their Viewpoint", 2013 American Society of Engineering Education (ASEE) Conference Nilam Ram, Conrad S Tucker, Scott D Gest and Clyde L Giles, 2013, "Theoretical And Practical Challenges Of Multiple Time-Scale Assessment And Intervention: Glimpses Of Big Data", Gerontological Society of America, 53, pp. 356356 Gul Kremer, Conrad S Tucker and Kathy Jackson, 2013, "Student preferences on tactile versus digital learning: implications for conceptual design", Proceedings of E&PDE; 2013, the 15th International Conference on Engineering and Product Design Education Kemper Lewis, D Moore-Russo, Gul Kremer, Conrad S Tucker, Timothy W Simpson, Sarah E Zappe, Ann Mckenna, Adam Carberry, Wei Chen, David Gatchell, Steven Shooter, Marie Paretti, Lisa McNair and Christopher Williams, 2013, "The Development of Product Archaeology as a Platform for Contextualizing Engineering Design", 2013 American Society of Engineering Education Conference Conrad S Tucker and Sung Woo Kang, 2012, "A bisociative design framework for knowledge discovery across seemingly unrelated product domains", ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, pp. 941953 Josue R Crespo-Varela, Gl E Okudan Kremer, Conrad S Tucker and Lourdes A Medina, 2012, "An Analysis of Complexity Measures for Product Design and Development", ASME 2012 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, pp. 523532 Conrad S Tucker, Harrison Kim and others, 2011, "Predicting emerging product design trend by mining publicly available customer review data", Proceedings of the 18th International Conference on Engineering Design (ICED 11) Conrad S Tucker and Harrison M Kim, 2010, "Capturing Emergent Behavior In Multi-Response Systems Through Data Trend Mining", 13th AIAA/ISSMO Multidisciplinary Analysis Optimization Conference Conrad S Tucker, Christopher Hoyle, Harrison M Kim and Wei Chen, 2009, "A comparative study of data-intensive demand modeling techniques in relation to product design and development", ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, pp. 371383 Conrad S Tucker, Harrison Kim, Doug Barker and Yuanhui Zhang, 2008, "Data-Mining Driven Reconfigurable Product Family Design Framework for Aerodynamic Particle Separators", 12th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference Conrad S Tucker and Harrison Kim, 2008, "Product Architecture Design and Reconfiguration using Expectation Maximization and Decision Tree Classification", 49th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, 16th AIAA/ASME/AHS Adaptive Structures Conference,10th AIAA Non-Deterministic Approaches Conference, 9th AIAA Gossamer Spacecraft Forum, 4th AIAA Multidisciplinary Design Optimization Specialists Conference Conrad S Tucker and Harrison M Kim, 2007, "Product family concept generation and validation through predictive decision tree data mining and multi-level optimization", ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, pp. 971987 Conrad S Tucker and Harrison M Kim, 2006, "Optimal Product Portfolio Formulation: Merging Predictive Data Mining with Analytical Target Cascading", Proceedings of the 11th AIAA/MAO Conference Technical Reports John P Eddy and Conrad S Tucker, 2010, "Data-Driven Optimization of Dynamic Reconfigurable Systems of Systems" John P Eddy, Bruce M Thompson, Conrad S Tucker and Harrison M Kim, 2010, "Capturing Emergent Behavior In Systems Of Systems Design Through Data Trend Mining." Other Conrad S Tucker, 2011, "Data trend mining for predictive systems design" Research Projects Honors and Awards Service Service to Penn State: Contribution to Programs to Enhance Equal Opportunity/Cultural Diversity, Reviewer, Search Committee Member, Penn State University, The Pennsylvania State University Associate Dean for Equity and Inclusion, October 2017 Committee Work, Faculty Mentor, Committee Member, Penn State University, Shared Excellence Committee, September 2017 Service to External Organizations: Participation in or Service to Professional and Learned Societies, Editor, Associate Editor, American Society of Mechanical Engineers, December 2017 Organizing Conferences and Service on Conference Committees, Co-Organizer, Co-organizer: 2050|Artificial Intelligence and the Future of Conflict Conference, Penn State University, August 2017 diff --git a/src/data/compiled_bios/1529.txt b/src/data/compiled_bios/1529.txt new file mode 100644 index 0000000000..591a2819cb --- /dev/null +++ b/src/data/compiled_bios/1529.txt @@ -0,0 +1 @@ + Bhuvan Urgaonkar Associate Professor Affiliation(s): School of Electrical Engineering and Computer Science Computer Science and Engineering W371 Westgate Building buu1@psu.edu 814-865-9506 Personal or Departmental Website Research Areas: Interest Areas: Analytical modeling and optimization of computer systems; Cloud computing and data centers; Distributed computing; Fault tolerance; Operating systems; Power management; Sustainable information technology. Education B.Tech. (honors), Computer Science and Engineering, Indian Institute of Technology, 1999 MS, Computer Science, University of Massachusetts Amherst, 2002 Ph D, Computer Science, University of Massachusetts Amherst, 2005 Publications Book Reviews Bhuvan Urgaonkar, 2010, Analytical Performance Modeling for Computer Systems, Morgan and Claypool Publishers Book, Chapters Y. C. Tay and Bhuvan Urgaonkar, 2010, A chapter based on the candidate's paper "An Analytical Model for Multi-tier Internet Services and its Applications," from the ACM SIGMETRICS 2005 conference, Morgan and Claypool Publishers Yang Guo, Zihui Ge, Bhuvan Urgaonkar, Prashant Shenoy and Don Towsley, 2004, Dynamic Cache Reconfiguration Strategies for a Cluster-Based Streaming Proxy, Springer Netherlands, pp. 139-157 Journal Articles B.-C. Tak, Y. Kwon and Bhuvan Urgaonkar, 2017, "Resource Accounting of Shared IT Resources in Multi-Tenant Clouds", Proceedings of the IEEE Transactions on Service Computing C. Wang, Q. Liang and Bhuvan Urgaonkar, 2017, "An Empirical Analysis of Amazon EC2 Spot Instance Features Affecting Cost-effective Resource Procurement", ACM Transactions on Modeling and Performacnee Evaluation of Computer Systems (TOMPECS) C. Wang, Bhuvan Urgaonkar, George Kesidis, A. Gupta, L. Chen and R. Birke, 2017, "Effective Capacity Modulation as an Explicit Control Knob for Public Cloud Profitability", ACM Transactions on Autonomic and Adaptive Systems (TAAS) George Kesidis, Y. Shan, Bhuvan Urgaonkar and J. Liebeherr, 2015, "Network Calculus for Parallel Processing", SIGMETRICS Performance Evaluation Review, 43, (2), pp. 4850 George Kesidis, Bhuvan Urgaonkar, Yuquan Shan, S. Kamarava and Jrg Liebeherr, 2014, "Network calculus for parallel processing", CoRR, abs/1409.0820 Youngjae Kim, Aayush Gupta, Bhuvan Urgaonkar, Piotr Berman and Anand Sivasubramaniam, 2014, "HybridPlan: a capacity planning technique for projecting storage requirementsin hybrid storage systems", The Journal of Supercomputing, 67, (1), pp. 277303 Bhuvan Urgaonkar, G. Kesidis, U. Shanbhag and C. Wang, 2013, "Pricing of Service in Clouds: Optimal Response and Strategic Interactions", SIGMETRICS Performance Evaluation Review, 41, (3), pp. 28-30 Youngjae Kim, Aayush Gupta and Bhuvan Urgaonkar, 2013, "A Temporal Locality-Aware Page-Mapped Flash Translation Layer", Journal of Computer Science and Technology, 28, (6), pp. 10251044 B.-C. Tak, Bhuvan Urgaonkar and A. Sivasubramaniam, 2013, "Cloudy with a Chance of Cost Savings", IEEE Transactions on Parallel and Distributed Systems (TPDS), 24, (6), pp. 1223-1233 S. Govindan, D. Wang, A. Sivasubramaniam and Bhuvan Urgaonkar, 2013, "Aggressive Datacenter Power Provisioning with Batteries", ACM Transactions on Computer Systems, 31, (1), pp. 31 Cheng Wang, Bhuvan Urgaonkar, Qian Wang, George Kesidis and Anand Sivasubramaniam, 2013, "Data Center Cost Optimization Via Workload Modulation Under Real-World Electricity Pricing", CoRR, abs/1308.0585 Seon-Yeong Park, Youngjae Kim, Bhuvan Urgaonkar, Joonwon Lee and Euiseong Seo, 2011, "A comprehensive study of energy efficiency and performance of flash-based SSD", Journal of Systems Architecture - Embedded Systems Design, 57, (4), pp. 354365 Shiva Prasad Kasiviswanathan, Bo Zhao, Sudarshan Vasudevan and Bhuvan Urgaonkar, 2011, "Bandwidth provisioning in infrastructure-based wireless networks employing directional antennas", Pervasive and Mobile Computing, 7, (1), pp. 114127 S. Kasiviswanathan, B. Zhao, S. Vasudevan and Bhuvan Urgaonkar, 2011, "Provisioning Bandwidth in Directional Antenna-based Wireless Networks", Elsevier Pervasive and Mobile Computing Journal (PMC), 7, (1), pp. 114-127 Rahul Urgaonkar, Bhuvan Urgaonkar, Michael J. Neely and Anand Sivasubramaniam, 2011, "Optimal Power Cost Management Using Stored Energy in Data Centers", CoRR, abs/1103.3099 Jeonghwan Choi, Sriram Govindan, Jinkyu Jeong, Bhuvan Urgaonkar and Anand Sivasubramaniam, 2010, "Power Consumption Prediction and Power-Aware Packing in Consolidated Environments", IEEE Transactions on Computers, 59, (12), pp. 16401654 Sriram Govindan, Jeonghwan Choi, Arjun R. Nath, Amitayu Das, Bhuvan Urgaonkar and Anand Sivasubramaniam, 2009, "Xen and Co.: Communication-Aware CPU Management in Consolidated Xen-Based Hosting Platforms", IEEE Transactions on Computers, 58, (8), pp. 11111125 Bhuvan Urgaonkar, Prashant J. Shenoy and Timothy Roscoe, 2009, "Resource overbooking and application profiling in a shared Internet hosting platform", ACM Transactions on Internet Technology, 9, (1) Krishna Kant and Bhuvan Urgaonkar, 2009, "Virtualized Data Centers", Computer Networks, 53, (17), pp. 28712872 Bhuvan Urgaonkar and Prashant J. Shenoy, 2008, "Cataclysm: Scalable overload policing for internet applications", Elsevier Journal of Networking and Computer Applications, 31, (4), pp. 891920 Bhuvan Urgaonkar, Prashant J. Shenoy, Abhishek Chandra, Pawan Goyal and Timothy Wood, 2008, "Agile dynamic provisioning of multi-tier Internet applications", ACM Transactions on Autonomous and Adaptive Systems, 3, (1) Bhuvan Urgaonkar, A. Chandra, P. Shenoy and P. Goyal, 2008, "Agile Dynamic Provisioning of Internet Applications", ACM Transactions on Autonomous and Adaptive Systems, 3, (1), pp. 39 Bhuvan Urgaonkar, Arnold L. Rosenberg and Prashant J. Shenoy, 2007, "Application Placement on a Cluster of Servers", International Journal on Foundations of Computer Science, 18, (5), pp. 10231041 Bhuvan Urgaonkar, Giovanni Pacifici, Prashant J. Shenoy, Mike Spreitzer and Asser N. Tantawi, 2007, "Analytic modeling of multitier Internet applications", ACM Transactions on the Web, 1, (1) Yang Guo, Zihui Ge, Bhuvan Urgaonkar, Prashant J. Shenoy and Donald F. Towsley, 2006, "Dynamic cache reconfiguration strategies for cluster-based streaming proxy", Elsevier Computer Communications Review, 29, (10), pp. 17101721 Piotr Berman, Jieun K. Jeong, Shiva Prasad Kasiviswanathan and Bhuvan Urgaonkar, 2006, "Packing to angles and sectors", Electronic Colloquium on Computational Complexity (ECCC), 13, (030) Bhuvan Urgaonkar and Prashant J. Shenoy, 2004, "Sharc: Managing CPU and Network Bandwidth in Shared Clusters", IEEE Transactions on Parallel and Distributed Systems, 15, (1), pp. 217 Conference Proceedings George Kesidis, U. Shanbhag, N. Nasiriani and Bhuvan Urgaonkar, 2017, "Competition and Peak-Demand Response in Clouds Under Tenants Demand Response" C. Wang, Bhuvan Urgaonkar, N. Nasiriani and G. Kesidis, 2017, "Using Burstable Instances in the Public Cloud: Why, When, and How?" J. Khamse-Ashari, I. Lambadaris, George Kesidis, Bhuvan Urgaonkar and Y. Zhao, 2017, "Per-Server Dominant-Share Fairness (PS-DSF): A Multi-Resource Fair Allocation Mechanism for Heterogeneous Servers" J. Khamse-Ashari, George Kesidis, I. Lambadaris, Bhuvan Urgaonkar and Y. Zhao, 2017, "Efficient and Fair Scheduling of Placement-Constrained Threads on Heterogeneous Multi-Processors" George Kesidis, N. Nasiriani, Y. Shan, Bhuvan Urgaonkar and I. Lambadaris, 2017, "Multicommodity Games in Public-Cloud Markets Considering Subadditive Resource Demands" C. Wang, Q. Liang and Bhuvan Urgaonkar, 2017, "An Empirical Analysis of Amazon EC2 Spot Instance Features Affecting Cost-effective Resource Procurement" C. Wang, Bhuvan Urgaonkar, A. Gupta, Q. Liang and George Kesidis, 2017, "Exploiting Spot and Burstable Instances for Improving the Cost-e?cacy of In-Memory Caches on the Public Cloud" Mark Meredith and Bhuvan Urgaonkar, 2017, "Towards Performance Modeling as a Service by Exploiting Resource Diversity in the Public Cloud" Jalal Khamse-Ashar, George Kesidis, Ioannis Lambadaris, Bhuvan Urgaonkar and Yiqiang Zhao, 2016, "Constrained Max-Min Fair Scheduling of Variable-Length Packet-Flows to Multiple Servers" Neda Nasiriani, Cheng Wang, George Kesidis, Bhuvan Urgaonkar, Lydia Y. Chen and Robert Birke, 2016, "On Fair Attribution of Costs under Peak-Based Pricing to Cloud Tenants", 2, (1), pp. 5160 Jalal Khamse-Ashar, George Kesidis, Ioannis Lambadaris, Bhuvan Urgaonkar and Yiqiang Zhao, 2016, "Max-Min Fair Scheduling of Variable-Length Packet-Flows to Multiple Servers by Deficit Round-Robin" C. Wang, Bhuvan Urgaonkar, A. Gupta, L. Y. Chen, R. Birke and G. Kesidis, 2016, "Effective capacity modulation as an explicit control knob for public cloud profitability", Institute of Electrical and Electronics Engineers Inc. N. Rameshan, R. Birke, L. Navarro, V. Vlassov, Bhuvan Urgaonkar, George Kesidis, M. Schmatz and L. Y. Chen, 2016, "Profiling Memory Vulnerability of Big-Data Applications" Bhuvan Urgaonkar, Chen Wang and Aayush Gupta, 2016, "Fine-Grained Resource Scaling in a Public Cloud: A Tenants Perspective" George Kesidis, Bhuvan Urgaonkar, Neda Nasiriani and Cheng Wang, 2016, "Neutrality in Future Public Clouds: Implications and Challenges" Bhuvan Urgaonkar, Qianlin Liang and Cheng Wang, 2016, "Spot Characterization: What are the Right Features to Model?" Cheng Wang, Neda Nasiriani, George Kesidis, Bhuvan Urgaonkar, Qian Wang, Lydia Y. Chen, Aayush Gupta and Robert Birke, 2015, "Recouping Energy Costs From Cloud Tenants: Tenant Demand Response Aware Pricing Design", ACM, New York, NY, USA, pp. 141150 Cheng Wang, Bhuvan Urgaonkar, Qian Wang and George Kesidis, 2014, "A hierarchical demand response framework for data center power cost optimization under real-world electricity pricing", pp. 10 Cheng Wang, Bhuvan Urgaonkar, George Kesidis, Uday V. Shanbhag and Qian Wang, 2014, "A Case for Virtualizing the Electric Utility in Cloud Data Centers", pp. 7 Iyswarya Narayanan, Aman Kansal, Anand Sivasubramaniam, Bhuvan Urgaonkar and Sriram Govindan, 2014, "Towards a Leaner Geo-distributed Cloud Infrastructure", pp. 7 Cheng Wang, Bhuvan Urgaonkar, Qian Wang, George Kesidis and Anand Sivasubramaniam, 2013, "Data Center Power Cost Optimization via Workload Modulation", pp. 260263 B.-C. Tak, Y. Kwon and Bhuvan Urgaonkar, 2013, "Towards an Effective and General Resource Accounting and Control Framework in Consolidated IT Platforms" Di Wang, Chuangang Ren, Sriram Govindan, Anand Sivasubramaniam, Bhuvan Urgaonkar, Aman Kansal and Kushagra Vaid, 2013, "ACE: Abstracting, characterizing and exploiting datacenter power demands", pp. 4455 Di Wang, Anand Sivasubramaniam and Bhuvan Urgaonkar, 2013, "A Case for Heterogeneous Flash in the Datacenter", pp. 220225 Bhuvan Urgaonkar, G. Kesidis, U. Shanbhag and C. Wang, 2013, "Pricing of Service in Clouds: Optimal Response and Strategic Interactions" Aman Kansal, Bhuvan Urgaonkar and Sriram Govindan, 2013, "Using Dark Fiber to Displace Diesel Generators" Darshan S. Palasamudram, Ramesh K. Sitaraman, Bhuvan Urgaonkar and Rahul Urgaonkar, 2012, "Using batteries to reduce the power costs of internet-scale distributed networks", pp. 11 Chuangang Ren, Di Wang, Bhuvan Urgaonkar and Anand Sivasubramaniam, 2012, "Carbon-Aware Energy Capacity Planning for Datacenters", pp. 391400 Di Wang, Chuangang Ren, Anand Sivasubramaniam, Bhuvan Urgaonkar and Hosam Kadry Fathy, 2012, "Energy storage in datacenters: what, where, and how much?", pp. 187198 D. Wang, C. Ren, A. Sivasubramaniam, Bhuvan Urgaonkar and H. Fathy, 2012, "Energy Storage in the Data Center: What, Where, and How Much?", Proceedings of the ACM International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS 2012), pp. 187-198 Sriram Govindan, Di Wang, Anand Sivasubramaniam and Bhuvan Urgaonkar, 2012, "Leveraging stored energy for handling power emergencies in aggressively provisioned datacenters", pp. 7586 Sriram Govindan, Di Wang, Lydia Chen, Anand Sivasubramaniam and Bhuvan Urgaonkar, 2011, "Towards Realizing a Low Cost and Highly Available Datacenter Power Infrastructure", ACM, pp. 7:17:5 Youngjae Kim, Aayush Gupta, Bhuvan Urgaonkar, Piotr Berman and Anand Sivasubramaniam, 2011, "HybridStore: A Cost-Efficient, High-Performance Storage System Combining SSDs and HDDs", pp. 227236 Rahul Urgaonkar, Bhuvan Urgaonkar, Michael J. Neely and Anand Sivasubramaniam, 2011, "Optimal power cost management using stored energy in datacenters", pp. 221232 Byung-Chul Tak, Bhuvan Urgaonkar and Anand Sivasubramaniam, 2011, "To Move or Not to Move: The Economics of Cloud Computing" Sriram Govindan, Anand Sivasubramaniam and Bhuvan Urgaonkar, 2011, "Benefits and limitations of tapping into stored energy for datacenters", pp. 341352 Aayush Gupta, Raghav Pisolkar, Bhuvan Urgaonkar and Anand Sivasubramaniam, 2011, "Leveraging Value Locality in Optimizing NAND Flash-based SSDs", pp. 91103 Shiva Chaitanya, Dharani Vijayakumar, Bhuvan Urgaonkar and Anand Sivasubramaniam, 2010, "Middleware for a Re-configurable Distributed Archival Store Based on Secret Sharing", pp. 107127 Shiva Chaitanya, Bhuvan Urgaonkar and Anand Sivasubramaniam, 2010, "Multi-level Crypto Disk: Secondary Storage with Flexible Performance Versus Security Trade-offs", pp. 434436 P. B Teregowda, Bhuvan Urgaonkar and Clyde L Giles, 2010, "Cloud Computing: A Digital Libraries Perspective", pp. 115-122 Pradeep B. Teregowda, Bhuvan Urgaonkar and Clyde L Giles, 2010, "CiteSeerx: A Cloud Perspective" Shiva Prasad Kasiviswanathan, Bo Zhao, Sudarshan Vasudevan and Bhuvan Urgaonkar, 2010, "Bandwidth Provisioning in Infrastructure-Based Wireless Networks Employing Directional Antennas", pp. 295306 P. B Teregowda, Bhuvan Urgaonkar and Clyde L Giles, 2010, "Cost Implications Of Moving To The Cloud: A Digital Libraries Perspective" Youngjae Kim, B. Tauras, A. Gupta and Bhuvan Urgaonkar, 2009, "FlashSim: A Simulator for NAND Flash-Based Solid-State Drives", pp. 125-131 Byung-Chul Tak, Chunqiang Tang, Chun Zhang, Sriram Govindan, Bhuvan Urgaonkar and Rong N. Chang, 2009, "vPath: Precise Discovery of Request Processing Paths from Black-Box Observations of Thread and Network Activities" Youngjae Kim, B. Tauras, A. Gupta and Bhuvan Urgaonkar, 2009, "FlashSim: A Simulator for NAND Flash-Based Solid-State Drives" Sriram Govindan, Jeonghwan Choi, Bhuvan Urgaonkar, Anand Sivasubramaniam and Andrea Baldini, 2009, "Statistical profiling-based techniques for effective power provisioning in data centers", pp. 317330 Aayush Gupta, Youngjae Kim and Bhuvan Urgaonkar, 2009, "DFTL: a flash translation layer employing demand-based selective caching of page-level address mappings", pp. 229240 Euiseong Seo, Seon-Yeong Park and Bhuvan Urgaonkar, 2008, "Empirical Analysis on Energy Efficiency of Flash-based SSDs" E. Seo, S. Park and Bhuvan Urgaonkar, 2008, "An Empirical Analysis of the Energy Efficiency of Flash-based SSDs", An Empirical Analysis of the Energy Efficiency of Flash-based SSDs, pp. 5 Jeonghwan Choi, Sriram Govindan, Bhuvan Urgaonkar and Anand Sivasubramaniam, 2008, "Profiling, Prediction, and Capping of Power Consumption in Consolidated Environments", pp. 312 Amitayu Das, Ritendra Datta, Bhuvan Urgaonkar and Anand Sivasubramaniam, 2008, "Predicting Web Cache Behavior using Stochastic State-Space Models", pp. 609616 C. Chaitanya, Bhuvan Urgaonkar and A. Sivasubramaniam, 2008, "QDSL: QoS-aware Systems with Differential Service Levels", Proceedings of ACM International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS '08), pp. 289-300 Shiva Chaitanya, Bhuvan Urgaonkar and Anand Sivasubramaniam, 2008, "QDSL: a queuing model for systems with differential service levels", pp. 289300 Partho Nath, Bhuvan Urgaonkar and Anand Sivasubramaniam, 2008, "Evaluating the usefulness of content addressable storage for high-performance data intensive applications", pp. 3544 Bhuvan Urgaonkar and Anand Sivasubramaniam, 2008, "RIVER: Resource management infrastructure for consolidated hosting in virtualized data centers", pp. 15 Yi Yang, Min Shao, Sencun Zhu, Bhuvan Urgaonkar and Guohong Cao, 2008, "Towards event source unobservability with minimum network trafficin sensor networks", pp. 7788 S. Govindan, A. Nath, A. Das, Bhuvan Urgaonkar and A. Sivasubramaniam, 2007, "I/O and Scheduling:Xen and Co.: Communication-aware CPU Scheduling in Consolidated Xen-based Hosting Platforms", Proceedings of the Third ACM SIGPLAN/SIGOPS Conference on Virtual Execution Environments (VEE 2007), pp. 126-136 Piotr Berman, Jieun K. Jeong, Shiva Prasad Kasiviswanathan and Bhuvan Urgaonkar, 2007, "Packing to angles and sectors", pp. 171180 Sriram Govindan, Arjun R. Nath, Amitayu Das, Bhuvan Urgaonkar and Anand Sivasubramaniam, 2007, "Xen and co.: communication-aware CPU scheduling for consolidated xen-based hosting platforms", pp. 126136 Ross Rosemark, Wang Lee and Bhuvan Urgaonkar, 2007, "Optimizing Energy-Efficient Query Processing in Wireless Sensor Networks", pp. 2429 Bhuvan Urgaonkar, Prashant J. Shenoy, Abhishek Chandra and Pawan Goyal, 2005, "Dynamic Provisioning of Multi-tier Internet Applications", pp. 217228 Bhuvan Urgaonkar, Giovanni Pacifici, Prashant J. Shenoy, Mike Spreitzer and Asser N. Tantawi, 2005, "An analytical model for multi-tier internet services and its applications", pp. 291302 Bhuvan Urgaonkar and Prashant J. Shenoy, 2005, "Cataclysm: policing extreme overloads in internet applications", pp. 740749 Bhuvan Urgaonkar, Arnold L. Rosenberg and Prashant J. Shenoy, 2004, "Application Placement on a Cluster of Servers", pp. 8590 Bhuvan Urgaonkar and Prashant J. Shenoy, 2004, "Brief announcement: Cataclysm: handling extreme overloads in Internet services", pp. 390 Emery Berger, Scott Kaplan, Bhuvan Urgaonkar, Pritesh Sharma, Abhishek Chandra and Prashant Shenoy, 2003, "Scheduler-aware Virtual Memory Management", pp. 1 Yang Guo, Zihui Ge, Bhuvan Urgaonkar, Prashant Shenoy and Don Towsley, 2003, "Dynamic Cache Reconfiguration Strategies for a Cluster-Based Streaming Proxy", pp. 10 Y. Guo, Z. Ge, Bhuvan Urgaonkar, P. Shenoy and D. Towsley, 2003, "On Dynamic Cache Reconfiguration Strategies for a Cluster-based Streaming Proxy", Proceedings of the Eighth International Workshop on Web Content Caching and Distribution (WCW 2003) Bhuvan Urgaonkar, Prashant J. Shenoy and Timothy Roscoe, 2002, "Resource Overbooking and Application Profiling in Shared Hosting Platforms" Bhuvan Urgaonkar, Anoop George Ninan, Mohammad S. Raunak, Prashant J. Shenoy and Krithi Ramamritham, 2001, "Maintaining Mutual Consistency for Cached Web Objects", pp. 371380 Magazines/Trade Publications Byung Chu Tak, Bhuvan Urgaonkar and Anand Sivasubramaniam, 2011, "Understanding the Cost of Cloud: Cost Analysis of In-house vs. Cloud-based Hosting Options", pp. 76-80 Technical Reports George Kesidis, Bhuvan Urgaonkar and Cheng Wang, 2014, "An Electricity Consumption Game with Both Mean and Peak Consumption Costs", Computer Science and Engineering Technical Report CSE 14-009, The Pennsylvania State University Byung-Chul Tak, Bhuvan Urgaonkar and Anand Sivasubramaniam, 2011, "To Move or Not to Move: The Economics of Cloud Computing" S. Govindan, Anand Sivasubramaniam and Bhuvan Urgaonkar, 2009, "eBuff: Exploiting Stored Energy for Peak Power Reduction in Datacenters" E. Seo, S. Park and Bhuvan Urgaonkar, 2008, "Power-Performance Comparison of State-of-the-art Hard Drives and Solid-State Disks: Measurements and Consequences" Youngjae Kim, Aayush Gupta, Bhuvan Urgaonkar, Piotr Berman and Anand Sivasubramaniam, 2008, "HybridStore: A Cost-Efficient, High-Performance Storage System Combining SSDs and HDDs" Aayush Gupta, Youngjae Kim and Bhuvan Urgaonkar, 2008, "DFTL: a flash translation layer employing demand-based selective caching of page-level address mappings" Sriram Govindan, Jeonghwan Choi, Bhuvan Urgaonkar, Anand Sivasubramaniam and Andrea Baldini, 2008, "Statistical profiling-based techniques for effective power provisioning in data centers" Jeonghwan Choi, Sriram Govindan, Bhuvan Urgaonkar and Anand Sivasubramaniam, 2008, "Profiling, Prediction, and Capping of Power Consumption in Consolidated Environments" Shiva Prasad Kasiviswanathan, Bo Zhao, Sudarshan Vasudevan and Bhuvan Urgaonkar, 2007, "Bandwidth provisioning in infrastructure-based wireless networks employing directional antennas" Amitayu Das, Ritendra Datta, Bhuvan Urgaonkar and Anand Sivasubramaniam, 2006, "Predicting Web Cache Behavior using Stochastic State-Space Models" Sriram Govindan, Arjun R. Nath, Amitayu Das, Bhuvan Urgaonkar and Anand Sivasubramaniam, 2006, "Communication-aware CPU management for consolidated virtualization-based hosting platforms" Shiva Prasad Kasiviswanathan, Bo Zhao, Sudarshan Vasudevan and Bhuvan Urgaonkar, 2006, "Bandwidth Provisioning in Infrastructure-Based Wireless Networks Employing Directional Antennas" Ross Rosemark, Wang Lee and Bhuvan Urgaonkar, 2006, "Optimizing Energy-Efficient Query Processing in Wireless Sensor Networks" Piotr Berman, Jieun K. Jeong, Shiva Prasad Kasiviswanathan and Bhuvan Urgaonkar, 2006, "Packing to angles and sectors" Bhuvan Urgaonkar, Prashant J. Shenoy, Abhishek Chandra and Pawan Goyal, 2004, "Dynamic Provisioning of Multi-tier Internet Applications" Bhuvan Urgaonkar, Giovanni Pacifici, Prashant J. Shenoy, Mike Spreitzer and Asser N. Tantawi, 2004, "An analytical model for multi-tier internet services and its applications" Bhuvan Urgaonkar, Arnold L. Rosenberg and Prashant J. Shenoy, 2004, "Application Placement on a Cluster of Servers" Bhuvan Urgaonkar and Prashant J. Shenoy, 2003, "Cataclysm: policing extreme overloads in internet applications" Bhuvan Urgaonkar, Anoop George Ninan, Mohammad S. Raunak, Prashant J. Shenoy and Krithi Ramamritham, 2000, "Maintaining Mutual Consistency for Cached Web Objects" Other Cheng Wang, Bhuvan Urgaonkar, Aayush Gupta and Qianlin Liang, 2016, "Navigating the Public Cloud Labyrinth: A Study of Price, Capacity, and Scaling Granularity Trade-offs" Bhuvan Urgaonkar and George Kesidis, 2014, "Empirical Workload and Energy Management for the Cloud" Bhuvan Urgaonkar, George Kesidis, V. Shanbhag and Cheng Wang, 2014, "A Case for Virtualizing the Electric Utility in Cloud Data Centers" Research Projects Honors and Awards ACM Sigmetrics Test of Time Award 2016, ACM Sigmetrics, June 2016 Best Student Paper Award, IEEE International Conference on Cloud Computing 2016, July 2016 Best Paper Candidate, IEEE ICAC, July 2016 NSF CAREER Award, National Science Foundation, August 2010 - July 2016 IBM Faculty Partnership Award, IBM, January 2015 - December 2015 Best Paper Runners Up Award, ACM e-Energy, July 2015 Best Paper Award, IEEE IISWC, September 2013 IEEE Sustainable Comp. Registers Pick of the Month, IEEE Sustainable Comp. Register, September 2013 Best Paper Award, IEEE MASCOTS, August 2012 Best Paper Nomination (One Out of Four), ACM Sigmetrics, June 2012 Google Faculty Research Award Co-Recipient, Google, 2011 HP Labs Innovation Research Program Award Co-Recipient, HP, 2010 Best Student Paper Award, IEEE MASCOTS, September 2008 Cisco Collaborative Research Initiative Award, Cisco, January 2007 - December 2007 Best Student Paper Award, IEEE International Conference on Automatic Computing, June 2005 ACM SIGMETRICS 2005 Student Travel Grant, ACM SIGMETRICS, May 2005 Finalist for the IBM Graduate Fellowship in the Systems category, IBM, 2004 Nominated for the UMass Graduate School Fellowship, UMass Graduate School, 2001 - 2002 Service Service to Penn State: Committee Work, Chairperson, OS Candidacy Exam, January 2017 - May 2017 Service to External Organizations: diff --git a/src/data/compiled_bios/153.txt b/src/data/compiled_bios/153.txt new file mode 100644 index 0000000000..aaf145ff20 --- /dev/null +++ b/src/data/compiled_bios/153.txt @@ -0,0 +1 @@ + Brian Johnson Washington Research Foundation Innovation Assistant Professor Home | About Me| Research| Publications| Research Group Power electronics play a foundational role in renewable energy systems, modern power grids, electric transportation, and computing systems to name a few examples. In my lab, we bridge an array of application domains (from Watts to MegaWatts) with the latest advances in theory to enable next-generation energy systems. Whether we are working on novel converter topologies, microgrid architectures, or analyzing the dynamics of converters in bulk power grids, our lab stands at the intersection of circuits, systems, and controls. To learn more about our work, see a list of our ongoing research topics and publications . News & Updates (Feb. 2019) I am helping organize a workshop on low-inertia power grids to be held on April 29th-30th on the UW campus. The website and registration link are here ( https://lowinertiagrids.ece.uw.edu ). (Feb. 2019) On February 20th, our group will be hosting a meeting of the local IEEE Power Electronics Society ( https://events.vtools.ieee.org/m/188742 ) here on the UW campus. Seshank Malap from Tektronix will discuss the new IsoVu probe and modern measurement techniques. I will also give an overview of UW's power electronics program. (Feb. 2019) Prof. Brian B. Johnson hosted Professor Dragan Maksimovic ( https://www.colorado.edu/faculty/maksimovic/ ) for his visit to the UW campus. He delivered a presentation on Advances in Power Electronics Enabled by Converter Topologies, Soft Switching Techniques, and Wide Bandgap Semiconductors. This event was sponsored by the Clean Energy Institute ( https://www.cei.washington.edu ). (Nov. 2018) Professor Brian B. Johnson leads Department of Energy -funded research to reduce cost of solar power electronics. Details here . (Nov. 2018) Professor Brian B. Johnson delivered a seminar to the Electrical Engineering and Computer Science department at Oregon State University. Details here . (Nov. 2018) Professor Brian B. Johnson delivered a talk on low-inertia power grids at the 2018 Minnesota Power Systems Conference . (Nov. 2018) Professor Brian B. Johnson delivered a talk for the University of Washington's Clean Energy Institute. (Jan. 2018) UW, Tsinghua researchers explore challenges and opportunities for smart, renewable energy grids. Details here . Page generated 2019-02-18 00:19:20 Pacific Standard Time, by jemdoc . diff --git a/src/data/compiled_bios/1530.txt b/src/data/compiled_bios/1530.txt new file mode 100644 index 0000000000..6f91b93cdc --- /dev/null +++ b/src/data/compiled_bios/1530.txt @@ -0,0 +1 @@ + Alan Verbanec Lecturer Affiliation(s): School of Electrical Engineering and Computer Science Computer Science and Engineering W112 Westgate Building acv@psu.edu 814-863-1469 Research Areas: Education BS, Computer Science, The Pennsylvania State University, 1972 MS, Computer Science, The Pennsylvania State University, 1973 Publications Technical Reports Research Projects Honors and Awards Service Service to Penn State: Service to External Organizations: diff --git a/src/data/compiled_bios/1531.txt b/src/data/compiled_bios/1531.txt new file mode 100644 index 0000000000..5149150532 --- /dev/null +++ b/src/data/compiled_bios/1531.txt @@ -0,0 +1 @@ + Yanling Wang Lecturer Affiliation(s): Computer Science and Engineering School of Electrical Engineering and Computer Science yuw17@psu.edu Research Areas: diff --git a/src/data/compiled_bios/1532.txt b/src/data/compiled_bios/1532.txt new file mode 100644 index 0000000000..4bd31a0102 --- /dev/null +++ b/src/data/compiled_bios/1532.txt @@ -0,0 +1 @@ + Danfeng Zhang Assistant Professor Affiliation(s): School of Electrical Engineering and Computer Science Computer Science and Engineering W369 Westgate Building dbz5017@psu.edu 814-863-7323 Personal or Departmental Website Research Areas: Interest Areas: Computer security and programming languages. Education BS, Computer Science, Peking University, 2006 MS, Computer Science, Peking University, 2009 Ph D, Computer Science,, Cornell University, 2015 Publications Journal Articles Danfeng Zhang, Andrew C. Myers, Dimitrios Vytiniotis and Simon Peyton-Jones, 2017, "SHErrLoc: a static holistic error locator", ACM Transactions on Programming Languages and Systems (TOPLAS), 39, (4) Conference Proceedings Robert Brotzman-Smith, Shen Liu, Danfeng Zhang, Gang Tan and Mahmut T Kandemir, 2019, "CaSym: Cache Aware Symbolic Execution for Side Channel Detection and Mitigation" Gurunath Kadam, Danfeng Zhang and Adwait Jog, 2018, "RCoal: Mitigating GPU Timing Attack via Subwarp-based Randomized Coalescing Technique" Zeyu Ding, Wang Yuxin, Guanhong Wang, Danfeng Zhang and Daniel Kifer, 2018, "Detecting Violations of Differential Privacy." Peixuan Li and Danfeng Zhang, 2018, "A Derivation Framework for Dependent Security Label Inference" Danfeng Zhang and Daniel Kifer, 2017, "LightDP: Towards Automating Differential Privacy Proofs." Andrew Ferraiuolo, Rui Xu, Danfeng Zhang, Andrew C Myers and G. Edward Suh, 2017, "Verification of a Practical Hardware Security Architecture Through Static Information Flow Analysis" Shuai Wang, Pei Wang, Xiao Liu, Danfeng Zhang and Dinghao Wu, 2017, "CacheD: Identifying Cache-Based Timing Channels in Production Software", pp. 235-252 Peixuan Li and Danfeng Zhang, 2017, "Towards a Flow- and Path-Sensitive Information Flow Analysis", pp. 53-67 Yao Wang, Andrew Ferraiuolo, Danfeng Zhang, Andrew C. Myers and G. Edward Suh, 2016, "SecDCP: Secure dynamic cache partitioning for ecient timing channel protection" Andrew Ferraiuolo, Yao Wang, Danfeng Zhang, Andrew C. Myers and G. Edward Suh, 2016, "Lattice priority scheduling: Low-overhead timing channel protection for a shared memory controller" Danfeng Zhang, Andrew C. Myers, Dimitrios Vytiniotis and Simon L. Peyton Jones, 2015, "Diagnosing type errors with class", pp. 1221 Danfeng Zhang, Yao Wang, G. Edward Suh and Andrew C. Myers, 2015, "A Hardware Design Language for Timing-Sensitive Information-Flow Security", pp. 503516 Chris Hawblitzel, Jon Howell, Jacob R. Lorch, Arjun Narayan, Bryan Parno, Danfeng Zhang and Brian Zill, 2014, "Ironclad Apps: End-to-End Security via Automated Full-System Verification", pp. 165181 Danfeng Zhang and Andrew C. Myers, 2014, "Toward general diagnosis of static errors", pp. 569582 Danfeng Zhang, Aslan Askarov and Andrew C. Myers, 2012, "Language-based control and mitigation of timing channels", pp. 99110 Danfeng Zhang, Aslan Askarov and Andrew C. Myers, 2011, "Predictive mitigation of timing channels in interactive systems", pp. 563574 Aslan Askarov, Danfeng Zhang and Andrew C. Myers, 2010, "Predictive black-box mitigation of timing channels", pp. 297307 Danfeng Zhang, Yao Guo and Xiangqun Chen, 2008, "Automated Aspect Recommendation through Clustering-Based Fan-in Analysis", pp. 278287 Danfeng Zhang, Yao Guo, Yue Wang and Xiangqun Chen, 2007, "Toward Efficient Aspect Mining for Linux", pp. 191198 Newsletters Danfeng Zhang, Yao Guo and Xiangqun Chen, 2008, "AspectC2C: a Symmetric Aspect Extension to the C Language", 43, (2), pp. 25-32 Technical Reports Andrew Ferraiuolo, Yao Wang, Rui Xu, Danfeng Zhang, Andrew C. Myers and Edward Suh, 2015, "Full-Processor Timing Channel Protection with Applications to Secure Hardware Compartments", (181341218) Danfeng Zhang, Andrew C. Myers, Dimitrios Vytiniotis and Simon Peyton-Jones, 2015, "Diagnosing type errors with class", (181339907) Danfeng Zhang and Andrew C. Myers, 2014, "Toward general diagnosis of static errors: technical report", (181333742) Danfeng Zhang, Yao Wang, G. Edward Suh and Andrew C. Myers, 2014, "A hardware design language for efficient control of timing channels", (1813-36274) Danfeng Zhang, Aslan Askarov and Andrew C. Myers, 2012, "Language Mechanisms for Controlling and Mitigating Timing Channels", (181328635) Danfeng Zhang and Daniel Kifer, , "LightDP: Towards Automating Differential Privacy Proofs." Peixuan Li and Danfeng Zhang, , "Towards a Flow- and Path-Sensitive Information Flow Analysis: Technical Report" Research Projects Honors and Awards Service Service to Penn State: Service to External Organizations: diff --git a/src/data/compiled_bios/1533.txt b/src/data/compiled_bios/1533.txt new file mode 100644 index 0000000000..83ac3e4c18 --- /dev/null +++ b/src/data/compiled_bios/1533.txt @@ -0,0 +1 @@ + Sencun Zhu Associate Professor Affiliation(s): School of Electrical Engineering and Computer Science Computer Science and Engineering W370 Westgate Building sxz16@psu.edu 814-865-0995 Personal or Departmental Website Research Areas: Interest Areas: Network and systems security, software plagiarism detection, smartphone security, children online safety, privacy. Education BS, Precision Instruments, Tsinghua University, 1996 ME, Signal Processing, University of Science & Technology of China, 1999 Ph D, Information Technology, George Mason University, 2004 Publications Book, Chapters Don Torrieri, Sencun Zhu and Sushil Jajodia, 2013, Cyber Maneuver Against External Adversaries and Compromised Nodes, Springer, pp. 8796 Yi Yang and Sencun Zhu, 2011, Sensor Code Attestation, Springer, pp. 1178-1179 Yi Yang and Sencun Zhu, 2011, Sensor Key Management, Springer, pp. 1179-1181 Yi Yang and Sencun Zhu, 2011, Anonymous Routing, Springer, pp. 39-40 Sencun Zhu and Sushil Jajodia, 2010, Scalable Group Key Management for Secure Multicast: A Taxonomy and New Directions, Springer US, pp. 57-75 Sencun Zhu and W. Zhang, 2006, Group Key Management in Sensor Networks, CRC Press, pp. 23 Sencun Zhu and S. Jajodia, 2005, Scalable Group Key Management for Secure Multicast: Taxonomy and New Directions, Springer-Verlag Yingjiu Li, Sencun Zhu, Lingyu Wang and Sushil Jajodia, 2002, A Privacy-Enhanced Microaggregation Method, Springer Berlin Heidelberg, pp. 148-159 Journal Articles Chu Huang, Yi Yang and Sencun Zhu, 2018, "An Evaluation Framework for Moving Target Defense Based on Analytic Hierarchy Process", EAI Transactions on Security and Safety Nan Lan, Ming Jiang, Dinghao Wu, Liang Peng and Sencun Zhu, 2017, "Semantics-Based Obfuscation-Resilient Binary Code Similarity Comparison with Applications to Software and Algorithm Plagiarism Detection", IEEE Transactions on Software Engineering (TSE) Chu Huang, Sencun Zhu, Quanlong Guan and Yongzhong He, 2017, "A Software Assignment Algorithm for Minimizing Worm Damage in Networked Systems", Elsevier Journal of Information Security and Applications J. A. Ming, F. B. Zhang, D. A. Wu, P. A. Liu and Sencun Zhu, 2016, "Deviation-based obfuscation-resilient program equivalence checking with application to software plagiarism detection", IEEE Transactions on Reliability, 65, (4), pp. 1647-1664 Zhenzhou Tian, Ting Liu, Qinghua Zheng, Feifei TONG, Dinghao Wu, Sencun Zhu and Kai Chen, 2016, "Software Plagiarism Detection: A Survey", Journal of Cyber Security Y. A. Yang, Sencun Zhu and Guohong Cao, 2016, "Improving sensor network immunity under worm attacks: A software diversity approach", Ad Hoc Networks, 47 Yoon-chan Jhi, Xiaoqi Jia, Xinran Wang, Sencun Zhu, Peng Liu and Dinghao Wu, 2015, "Program Characterization Using Runtime Values and Its Application to Software Plagiarism Detection", IEEE Transactions on Software Engineeering, 41, (9), pp. 925943 Tianzhen Cheng, Ping Li, Sencun Zhu and Don Torrieri, 2014, "M-cluster and X-ray: Two methods for multi-jammer localization inwireless sensor networks", Integrated Computer-Aided Engineering, 21, (1), pp. 1934 Qinghua Li, Wei Gao, Sencun Zhu and Guohong Cao, 2013, "To Lie or to Comply: Defending against Flood Attacks in DisruptionTolerant Networks", IEEE Transactions on Dependable and Secure Computing, 10, (3), pp. 168182 Yi Yang, Min Shao, Sencun Zhu and Guohong Cao, 2013, "Towards statistically strong source anonymity for sensor networks", ACM Transactions on Sensor Networks, 9, (3), pp. 23 pages Qinghua Li, Wei Gao, Sencun Zhu and Guohong Cao, 2013, "To Lie or to Comply: Defending against Flood Attacks in DisruptionTolerant Networks", IEEE Trans. Dependable Sec. Comput., 10, (3), pp. 168182 Q Li, Sencun Zhu and G Cao, 2012, "A Routing Protocol for Socially Selfish Delay Tolerant Networks", 10, (8), pp. 1619-1632 Zhi Xin, Huiyu Chen, Xinche Wang, Peng Liu, Sencun Zhu, Bing Mao and Li Xie, 2012, "Replacement attacks: automatically evading behavior-based software birthmark", International Journal of Information Security, 11, (5), pp. 293304 D He, J Bu, Sencun Zhu, S Chan and C Chen, 2011, "Distributed Access Control with Privacy Support in Wireless Sensor Networks", 10, (10), pp. 3472-3481 D Kong, Y Jhi, T Gong, Sencun Zhu, Peng Liu and H Xi, 2011, "SAS: Semantics Aware Signature Generation for Polymorphic Worm Detection", 10, (5), pp. 269-283 X Jiang, W Hu, Sencun Zhu and G Cao, 2011, "Compromise-Resilient Anti-Jamming for Wireless Sensor Networks", 17, (6), pp. 1513-1527 B Zhao, Z Xu, C Chi, Sencun Zhu and G Cao, 2011, "Mirroring Smartphones for Good: A Feasibility Study" Xuan Jiang, Wenhui Hu, Sencun Zhu and Guohong Cao, 2011, "Compromise-resilient anti-jamming communication in wireless sensor networks", Wireless Networks, 17, (6), pp. 15131527 Xinran Wang, Chi-Chun Pan, Peng Liu and Sencun Zhu, 2010, "SigFree: A Signature-Free Buffer Overflow Attack Blocker", IEEE Transactions on Dependable and Secure Computing, 7, (1), pp. 6579 Min Shao, Sencun Zhu, Wensheng Zhang, Guohong Cao and Yi Yang, 2009, "pDCS: Security and Privacy Support for Data-Centric Sensor Networks", IEEE Transactions on Mobile Computing, 8, (8), pp. 10231038 Wensheng Zhang, Sencun Zhu and Guohong Cao, 2009, "Predistribution and local collaboration-based group rekeying for wireless sensor networks", Ad Hoc Networks, 7, (6), pp. 12291242 Wensheng Zhang, Sencun Zhu and Guohong Cao, 2009, "Editorial for special issue on privacy and security in wireless sensorand ad hoc networks", Ad Hoc Networks, 7, (8), pp. 14311433 Yi Yang, Xinran Wang, Sencun Zhu and Guohong Cao, 2008, "SDAP: A Secure Hop-by-Hop Data Aggregation Protocol for Sensor Networks", ACM Transactions on Information and System Security, 11, (4) Liang Xie and Sencun Zhu, 2008, "Message Dropping Attacks in Overlay Networks: Attack Detection and Attacker Identification", ACM Transactions on Information and System Security, 11, (3), pp. 28 Hui Song, Sencun Zhu, Wensheng Zhang and Guohong Cao, 2008, "Least privilege and privilege deprivation: Toward tolerating mobilesink compromises in wireless sensor networks", TOSN, 4, (4) Sencun Zhu, Sanjeev Setia, Sushil Jajodia and Peng Ning, 2007, "Interleaved hop-by-hop authentication against false data injection attacks in sensor networks", ACM Transactions on Sensor Networks, 3, (3), pp. 33 Patrick Traynor, Raju Kumar, Heesook Choi, Guohong Cao, Sencun Zhu and Thomas F Laporta, 2007, "Efficient Hybrid Security Mechanisms for Heterogeneous Sensor Networks", IEEE Transactions on Mobile Computing, 6, (6), pp. 663677 Sencun Zhu, Chao Yao, Donggang Liu, Sanjeev Setia and Sushil Jajodia, 2007, "Efficient security mechanisms for overlay multicast based content delivery", Elsevier Journal of Computer Communications, 30, (4), pp. 793806 Hui Song, Sencun Zhu and Guohong Cao, 2007, "Attack-resilient time synchronization for wireless sensor networks", Ad Hoc Networks, 5, (1), pp. 112125 Qijun Gu, Peng Liu, Chao-Hsien Chu and Sencun Zhu, 2007, "Defence against packet injection in ad hoc networks", International Journal of Security and Networks, Special Issue on Computer and Network Security, 2, (1/2), pp. 154169 Hung-Yuan Hsu, Sencun Zhu and Ali R. Hurson, 2007, "LIP: a lightweight interlayer protocol for preventing packet injection attacks in mobile ad hoc network", International Journal of Security and Networks, Special Issue on Cryptography in Networks, 2, (3/4), pp. 202215 Sencun Zhu, Sanjeev Setia and Sushil Jajodia, 2006, "LEAP+: Efficient security mechanisms for large-scale distributed sensor networks", ACM Transaction on Sensor Networks, 2, (4), pp. 500528 Sencun Zhu, Shouhuai Xu, Sanjeev Setia and Sushil Jajodia, 2006, "LHAP: A lightweight network access control protocol for ad hoc networks", Ad Hoc Networks, 4, (5), pp. 567585 Matthew Pirretti, Sencun Zhu, Vijaykrishnan Narayanan, Patrick D McDaniel, Mahmut T Kandemir and Richard R. Brooks, 2006, "The Sleep Deprivation Attack in Sensor Networks: Analysis and Methods of Defense", International Journal of Distributed Sensor Networks, 2, (3), pp. 267287 Yingjiu Li, Sencun Zhu, Xiaoyang Sean Wang and Sushil Jajodia, 2006, "Looking into the seeds of time: Discovering temporal patterns in large transaction sets", Journal Information Sciences, 176, (8), pp. 10031031 Sencun Zhu, Sanjeev Setia, Shouhuai Xu and Sushil Jajodia, 2006, "GKMPAN: An Efficient Group Rekeying Scheme for Secure Multicast in Ad-Hoc Networks", Journal of Computer Security, 14, (4), pp. 301325 Qijun Gu, C.-H. Chu, Peng Liu and Sencun Zhu, 2006, "Slander-resistant forwarding isolation in ad hoc networks", International Journal of Mobile Network Design and Innovation, 1, (3/4), pp. 162174 Q. Gu, C.-H. Chu, P. Liu and Sencun Zhu, 2006, "Slander Resistant Attacker Isolation in Ad Hoc Networks", International Journal of Mobile Network Design and Innovation (IJMNDI), 1, (3/4), pp. 162-174 Sanjeev Setia, Sencun Zhu and Sushil Jajodia, 2002, "A comparative performance analysis of reliable group rekey transport protocols for secure multicast", Performance Evaluation, 49, (14), pp. 21 - 41 Conference Proceedings Liao Cong, Haoti Zhong, Sencun Zhu and Anna Squicciarini, 2018, "Server-Based Manipulation Attacks Against Machine Learning Models", Univ. Park, United States Xiaolei Wang, Sencun Zhu, Dehua Zhou and Yuexiang Yang, 2017, "Droid-AntiRM: Taming Control Flow Anti-analysis to Support Automated Dynamic Analysis of Android Malware" Xin Chen, Heqing Huang, Sencun Zhu, Qing Li and Quanlong Guan, 2017, "SweetDroid: Toward a Context-Sensitive Privacy Policy Enforcement Framework for Android OS" Chuangang Ren, Peng Liu and Sencun Zhu, 2017, "WindowGuard: Systematic Protection of GUI Security in Android." Hao Chen, Daojing He, Sencun Zhu and Jingshun Yang, 2017, "Toward Detecting Collusive Ranking Manipulation Attackers in Mobile App Markets" Xing Liu, Sencun Zhu, Wei Wang and Jiqiang Liu, 2016, "Alde: Privacy Risk Analysis of Analytics Libraries in the Android Ecosystem" Heqing Huang, Cong Zheng, Wu Zhou, Junyuan Zeng, Sencun Zhu, Peng Liu, Suresh and Ce Zhang, 2016, "Android Malware Development on Public Malware Scanning Platforms: A Large-scale Data-driven Study" L. Luo, Y. Fu, Dinghao Wu, Sencun Zhu and P Liu, 2016, "Repackage-proofing android apps" Zhen Xie, Sencun Zhu, Qing Li and Wenjing Wang, 2016, "You Can Promote, But You Cant Hide: Large-Scale Abused App Detection in Mobile App Stores" Q Guan, Hai Huang, W. Luo and Sencun Zhu, 2016, "Semantics-based repackaging detection for mobile apps", pp. pp. 89-105 Heqing Huang, Sencun Zhu, Kai Chen and Peng Liu, 2015, "From System Services Freezing to System Server Shutdown in Android: All You Need Is a Loop in an App", pp. 12361247 Chu Huang, Sencun Zhu, and , , 2015, "Multi-objective Software Assignment for Active Cyber Defense", pp. 220-228 Xin Chen and Sencun Zhu, 2015, "DroidJust: Automated Functionality-Aware Privacy Leakage Analysis for Android Applications.", pp. 12 Zhen Xie and Sencun Zhu, 2015, "AppWatcher: unveiling the underground market of trading mobile app reviews", pp. 11 Heqing Huang, Kai Chen, Chuangang Ren, Peng Liu, Sencun Zhu and Dinghao Wu, 2015, "Towards Discovering and Understanding Unexpected Hazards in Tailoring Antivirus Software for Android", pp. 718 Zhi Xu and Sencun Zhu, 2015, "SemaDroid: A Privacy-Aware Sensor Management Framework for Smartphones", ACM, pp. 6172 H. Huang, K. Chen, Peng Liu, Sencun Zhu and D. Wu, 2015, "Uncovering the Dilemmas on Antivirus Software Design in Modern Mobile Platforms", Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2015, 153, pp. pgs. 359-366 Lannan Luo, Jiang Ming, Dinghao Wu, Peng Liu and Sencun Zhu, 2014, "Semantics-based obfuscation-resilient binary code similarity comparison with applications to software plagiarism detection", pp. 389400 Fangfang Zhang, Dinghao Wu, Peng Liu and Sencun Zhu, 2014, "Program Logic Based Software Plagiarism Detection", pp. 6677 L. Li , Sencun Zhu, D. Torrieri and S. Jajodia, 2014, "Self-healing wireless networks under insider jamming attacks", pp. 220-228 C. Huang, Sencun Zhu and R. Erbacher, 2014, "Toward Software Diversity in Heterogeneous Networked Systems", pp. 114-129 X. Chen, J. Cho and Sencun Zhu, 2014, "GlobalTrust: An Attack-Resilient Reputation System for Tactical Networks", IEEE, pp. 275-283 Zhen Xie and Sencun Zhu, 2014, "GroupTie: toward hidden collusion group discovery in app stores", pp. 153164 Fangfang Zhang, Heqing Huang, Sencun Zhu, Dinghao Wu and Peng Liu, 2014, "ViewDroid: towards obfuscation-resilient mobile application repackaging detection", pp. 2536 Wei Xu, Fangfang Zhang and Sencun Zhu, 2013, "Permlyzer: Analyzing permission usage in Android applications", pp. 400410 Ying Chen, Sencun Zhu, Heng Xu and Yilu Zhou, 2013, "Childrens Exposure to Mobile In-App Advertising: An Analysis of Content Appropriateness", pp. 196203 Heqing Huang, Sencun Zhu, Peng Liu and Dinghao Wu, 2013, "A Framework for Evaluating Mobile App Repackaging Detection Algorithms", pp. 169186 Xin Chen, Harshal Patankar, Sencun Zhu, Mudhakar Srivatsa and Jeff Opper, 2013, "Zigzag: Partial mutual revocation based trust management in tactical ad hoc networks", pp. 131139 Ying Chen, Heng Xu, Yilu Zhou and Sencun Zhu, 2013, "Is This App Safe for Children?: A Comparison Study of Maturity Ratings on Android and iOS Applications", pp. 201212 Wei Xu, Fangfang Zhang and Sencun Zhu, 2013, "JStill: Mostly Static Detection of Obfuscated Malicious JavaScript Code", pp. 117128 Vivek Natarajan, Yi Yang and Sencun Zhu, 2012, "Secure Trust Metadata Management for Mobile Ad-Hoc Networks", pp. 164-180 Wei Xu, Fangfang Zhang and Sencun Zhu, 2012, "The power of obfuscation techniques in malicious JavaScript code:A measurement study", IEEE Computer Society, pp. 916 Z Xu, H Hsu, X. Chen, Sencun Zhu and A Hurson, 2012, "AK-PPM: An Authenticated Packet Attribution Scheme for Mobile Ad Hoc Networks", pp. 147-168 Ying Chen, Yilu Zhou, Sencun Zhu and Heng Xu, 2012, "Detecting Offensive Language in Social Media to Protect Adolescent Online Safety", pp. 7180 Z Xu and Sencun Zhu, 2012, "Abusing Notification Services on Smartphones for Phishing and Spamming", pp. 11 pages F Zhang, Y Jhi, D Wu, Peng Liu and Sencun Zhu, 2012, "A First Step Towards Algorithm Plagiarism Detection", pp. 111-121 C Huang, Sencun Zhu and D Wu, 2012, "Towards Trusted Services: Result Verification Schemes for Map Reduce", pp. 41-48 Z Xu, K Bai and Sencun Zhu, 2012, "TapLogger: Inferring User Inputs on Smartphone Touchscreens Using On-board Motion Sensors", pp. 113-124 T Cheng, P Liu and Sencun Zhu, 2012, "An Algorithm for Jammer Localization in Wireless Sensor Networks", pp. 724-731 V Natarajan, Sencun Zhu, M Srivatsa and J Opper, 2012, "Semantics-Aware Storage and Replication of Trust Metadata in Mobile Ad-Hoc Networks", pp. 376-383 Chu Huang, Sencun Zhu and Dinghao Wu, 2012, "Towards Trusted Services: Result Verification Schemes for MapReduce", pp. 4148 T Cheng, Peng Liu and Sencun Zhu, 2011, "Multi-jammer Localization in Wireless Sensor Networks", pp. 736-740 V Natarajan, Y Yi and Sencun Zhu, 2011, "Resource-Misuse Attack Detection in Delay-Tolerant Networks", pp. 8 pages Z Xu, K Bai, Sencun Zhu, L Liu and R Moulic, 2011, "Context-Related Access Control for Mobile Caching", pp. 20 pages Z Xin, H Cheng, X Wang, Peng Liu, Sencun Zhu and B Zhao, 2011, "Replacement Attacks on Behavior Based Software Birthmark", pp. 1-16 A Chaugule, Z Xu and Sencun Zhu, 2011, "A Specification Based Intrusion Detection Framework for Mobile Phones", pp. 19-37 Y C Jhi, X Wang, X Jia, Sencun Zhu, Peng Liu and D Wu, 2011, "Value-Based Program Characterization and Its Application to Software Plagiarism Detection", pp. 756-765 Daojing He, Jiajun Bu, Sencun Zhu, Mingjian Yin, Yi Gao, Haodong Wang, Sammy Chan and Chun Chen, 2011, "Distributed privacy-preserving access control in a single-owner multi-usersensor network", pp. 331335 X Jiang, W Hu, Sencun Zhu and G Cao, 2010, "Compromise-Resilient Anti-Jamming for Wireless Sensor Networks", pp. 140-154 Wei Xu, Fangfang Zhang and Sencun Zhu, 2010, "Toward worm detection in online social networks", ACM, pp. 1120 B Zhao, Z Xu, C Chi, Sencun Zhu and G Cao, 2010, "Mirroring Smartphones for Good: A Feasibility Study", pp. 26-38 Wenping Chen, Sencun Zhu and Deying Li, 2010, "VAN: Vehicle-assisted shortest-time path navigation", IEEE, pp. 442451 Deguang Kong, Yoon-chan Jhi, Tao Gong, Sencun Zhu, Peng Liu and Hongsheng Xi, 2010, "SAS: Semantics Aware Signature Generation for Polymorphic Worm Detection", pp. 269-283 Z. Xu and Sencun Zhu, 2010, "Filtering Offensive Language in Online Communities using Grammatical Relations", pp. 10 pages Wei Xu, Sencun Zhu and Heng Xu, 2010, "COP: A Step toward Children Online Privacy", Springer-Verlag LNCS, 6123, pp. 529544 Hung-Yuan Hsu, Sencun Zhu and Ali R. Hurson, 2010, "A hotspot-based protocol for attack traceback in mobile ad hoc networks", ACM, pp. 333336 Liang Xie, Xinwen Zhang, Jean-Pierre Seifert and Sencun Zhu, 2010, "pBMDS: a behavior-based malware detection system for cellphone devices", ACM, pp. 3748 Qinghua Li, Sencun Zhu and Guohong Cao, 2010, "Routing in Socially Selfish Delay Tolerant Networks", IEEE, pp. 857865 Xinran Wang, Yoon-chan Jhi, Sencun Zhu and Peng Liu, 2009, "Detecting Software Theft via System Call Based Birthmarks", pp. 149158 Xinran Wang, Yoon-chan Jhi, Sencun Zhu and Peng Liu, 2009, "Behavior based software theft detection", pp. 280290 Yi Yang, Sencun Zhu, Guohong Cao and Thomas F Laporta, 2009, "An Active Global Attack Model for Sensor Source Location Privacy:Analysis and Countermeasures", pp. 373393 Liang Xie, Xinwen Zhang, Ashwin Chaugule, Trent R Jaeger and Sencun Zhu, 2009, "Designing System-Level Defenses against Cellphone Malware", pp. 8390 G. Ruan, S. Jain and Sencun Zhu, 2009, "SensorEar: A Sensor Network Based Eavesdropping System", pp. 8 Min Shao, Wenhui Hu, Sencun Zhu, Guohong Cao, Srikanth Krishnamurth and Thomas F Laporta, 2009, "Cross-layer Enhanced Source Location Privacy in Sensor Networks", pp. 19 Bo Zhao, Caixia Chi, Wei Gao, Sencun Zhu and Guohong Cao, 2009, "A Chain Reaction DoS Attack on 3G Networks: Analysis and Defenses", pp. 24552463 Zhichao Zhu, Guohong Cao, Sencun Zhu, Supranamaya Ranjan and Antonio Nucci, 2009, "A Social Network Based Patching Scheme for Worm Containment in CellularNetworks", pp. 14761484 Xinran Wang, Yoon-chan Jhi, Sencun Zhu and Peng Liu, 2008, "STILL: Exploit Code Detection via Static Taint and InitializationAnalyses", pp. 289298 Heng Xu, Nazneen Irani, Sencun Zhu and Wei Xu, 2008, "Alleviating Parental Concerns for Childrens Online Privacy: A ValueSensitive Design Investigation", pp. 106 Min Shao, Sencun Zhu, Guohong Cao, Thomas F Laporta and Prasant Mohapatra, 2008, "A cross-layer dropping attack in video streaming over ad hoc networks", pp. 25 Liang Xie, Hui Song and Sencun Zhu, 2008, "On the Effectiveness of Internal Patching Against File-Sharing Worms", pp. 120 Yi Yang, Sencun Zhu and Guohong Cao, 2008, "Improving sensor network immunity under worm attacks: a software diversity approach", pp. 149158 Hui Song, Sencun Zhu and Guohong Cao, 2008, "SVATS: A Sensor-Network-Based Vehicle Anti-Theft System", pp. 21282136 Min Shao, Yi Yang, Sencun Zhu and Guohong Cao, 2008, "Towards Statistically Strong Source Anonymity for Sensor Networks", pp. 5155 Xinran Wang, Yoon-chan Jhi, Sencun Zhu and Peng Liu, 2008, "Protecting web services from remote exploit code: a static analysis approach (poster)", pp. 11391140 Liang Xie, Hui Song, Trent R Jaeger and Sencun Zhu, 2008, "A systematic approach for cell-phone worm containment (poster)", pp. 10831084 Yi Yang, Min Shao, Sencun Zhu, Bhuvan Urgaonkar and Guohong Cao, 2008, "Towards event source unobservability with minimum network trafficin sensor networks", pp. 7788 Mohammad M. Masud, Latifur Khan, Bhavani M. Thuraisingham, Xinran Wang, Peng Liu and Sencun Zhu, 2008, "Detecting Remote Exploits Using Data Mining", pp. 177189 Heng Xu, Nazneen Irani, Sencun Zhu and Wei Xu, 2008, "Alleviating Parental Concerns for Childrens Online Privacy: A ValueSensitive Design Investigation", pp. 106 Yi Yang, Min Shao, Sencun Zhu, Bhuvan Urgaonkar and Guohong Cao, 2008, "Towards event source unobservability with minimum network trafficin sensor networks", pp. 7788 M. Masud, L. Kahn, B. Thuraisingham, X. Wang, P. Liu and Sencun Zhu, 2008, "A Data Mining Technique to Detect Remote Exploits", Proceedings of the Fourth Annual IFIP WG 11.9 International Conference on Digital Forensics, pp. 14 Yi Yang, Xinran Wang, Sencun Zhu and Guohong Cao, 2007, "Distributed Software-based Attestation for Node Compromise Detection in Sensor Networks", pp. 219230 Heesook Choi, Sencun Zhu and Thomas F Laporta, 2007, "SET: Detecting node clones in sensor networks", pp. 341350 L. Xie and Sencun Zhu, 2007, "A Study on Defending against Ultra-Fast Topological Worms", Proceedings of the Seventh IEEE International Conference on Peer-to-Peer Computing (P2P 2007), pp. 61-68 Liang Xie and Sencun Zhu, 2007, "A Feasibility Study on Defending Against Ultra-Fast Topological Worms", pp. 6170 Wensheng Zhang, Minh Tran, Sencun Zhu and Guohong Cao, 2007, "A random perturbation-based scheme for pairwise key establishment in sensor networks", pp. 9099 Hui Song, Liang Xie, Sencun Zhu and Guohong Cao, 2007, "Sensor node compromise detection: the location perspective", pp. 242247 Min Shao, Sencun Zhu, Wensheng Zhang and Guohong Cao, 2007, "pDCS: Security and Privacy Support for Data-Centric Sensor Networks", pp. 12981306 Liang Xie and Sencun Zhu, 2007, "A Feasibility Study on Defending Against Ultra-Fast TopologicalWorms", pp. 6170 Liang Xie and Sencun Zhu, 2006, "Message Dropping Attacks in Overlay Networks: Attack Detection and Attacker Identification", pp. 110 Xinran Wang, Chi-Chun Pan, Peng Liu and Sencun Zhu, 2006, "SigFree: A Signature-free Buffer Overflow Attack Blocker", USENIX Association, Berkeley, CA, USA Yi Yang, Xinran Wang, Sencun Zhu and Guohong Cao, 2006, "SDAP: a secure hop-by-hop data aggregation protocol for sensor networks", pp. 356367 Patrick Traynor, Heesook Choi, Guohong Cao, Sencun Zhu and Thomas F Laporta, 2006, "Establishing Pair-Wise Keys in Heterogeneous Sensor Networks" Qijun Gu, C.-H. Chu, Peng Liu and Sencun Zhu, 2005, "Slander-resistant forwarding isolation in ad hoc networks", pp. 12 Hui Song, Sencun Zhu and Guohong Cao, 2005, "Attack-resilient time synchronization for wireless sensor networks" Qijun Gu, Peng Liu, Sencun Zhu and Chao-Hsien Chu, 2005, "Defending against packet injection attacks unreliable ad hoc networks", pp. 5 Matthew Pirretti, Sencun Zhu, Vijaykrishnan Narayanan, Patrick D McDaniel and Mahmut T Kandemir, 2005, "The sleep deprivation attack in sensor networks: analysis and methods of defense" Donggang Liu, Peng Ning, Sencun Zhu and Sushil Jajodia, 2005, "Practical Broadcast Authentication in Sensor Networks", pp. 118132 Sencun Zhu, Chao Yao, Donggang Liu, Sanjeev Setia and Sushil Jajodia, 2005, "Efficient Security Mechanisms for Overlay Multicast-Based Content Distribution", pp. 4055 Wensheng Zhang, Hui Song, Sencun Zhu and Guohong Cao, 2005, "Least privilege and privilege deprivation: towards tolerating mobilesink compromises in wireless sensor networks", pp. 378389 Q. Gu, C.-H. Chu, P. Liu and Sencun Zhu, 2005, "Slander Resistant Attacker Isolation in Ad Hoc Networks", Proceedings of the International Conference on Telecommunication Systems, Modeling and Analysis (ICTSM 2005) Sencun Zhu, Sanjeev Setia, Shouhuai Xu and Sushil Jajodia, 2004, "GKMPAN: An Efficient Group Rekeying Scheme for Secure Multicast in Ad-Hoc Network", pp. 4251 Sencun Zhu, Sanjeev Setia, Sushil Jajodia and Peng Ning, 2004, "An Interleaved Hop-by-Hop Authentication Scheme for Filtering of Injected False Data in Sensor Networks", pp. 259271 Sencun Zhu and Sushil Jajodia, 2003, "Scalable Group Rekeying for Secure Multicast: A Survey", pp. 110 Sencun Zhu, S. Xu, S. Setia and S. Jajodia, 2003, "Establishing Pair-wise Keys For Secure Communication in Ad Hoc Networks: A Probabilistic Approach" Sencun Zhu, Sanjeev Setia and Sushil Jajodia, 2003, "LEAP: efficient security mechanisms for large-scale distributedsensor networks", pp. 6272 Sencun Zhu, Sanjeev Setia and Sushil Jajodia, 2003, "Adding Reliable and Self-healing Key Distribution to the Subset Difference Group Rekeying Method for Secure Multicast", pp. 107118 Sencun Zhu, Shouhuai Xu, Sanjeev Setia and Sushil Jajodia, 2003, "LHAP: A lightweight network access control protocol for ad hoc networks", pp. 749-754 Sencun Zhu, S. Setia and S. Jajodia, 2003, "Adding Reliable and Self-Healing Key Distribution to the Subset Difference Group Rekeying Method for Secure Multicas", Proceedings of the Fifth International Workshop on Networked Group Communications (NGC '03), pp. 107-118 Sencun Zhu, Sanjeev Setia and Sushil Jajodia, 2003, "LEAP - efficient security mechanisms for large-scale distributed sensor networks (Poster)", pp. 308309 Sencun Zhu, Sanjeev Setia and Sushil Jajodia, 2003, "LEAP: efficient security mechanisms for large-scale distributedsensor networks", pp. 6272 Sencun Zhu, Shouhuai Xu, Sanjeev Setia and Sushil Jajodia, 2003, "LHAP: A Lightweight Hop-by-Hop Authentication Protocol for Ad-HocNetworks", pp. 749 Sanjeeve Setia, Sencun Zhu and Sushil Jajodia, 2002, "A Comparative Performance Analysis of Reliable Group Rekey Transport Protocols for Secure Multicast", pp. 2141 Yingjiu Li, Sencun Zhu, Lingyu Wang and Sushil Jajodia, 2002, "A Privacy-Enhanced Microaggregation Method", pp. 148159 Y. Li, Sencun Zhu, L. Wang and S. Jajodia, 2002, "A Privacy Enhanced Microaggregation Method", Proceedings of the Second International Symposium on Foundations of Information and Knowledge Systems (FoIKS 2002), pp. 148-159 Magazines/Trade Publications Sencun Zhu and Z. Xu, 2012, "Launching Phishing and Spam attacks on Android with Customized Notifications" Research Projects Honors and Awards Service Service to Penn State: Service to External Organizations: diff --git a/src/data/compiled_bios/1534.txt b/src/data/compiled_bios/1534.txt new file mode 100644 index 0000000000..705ee64c1d --- /dev/null +++ b/src/data/compiled_bios/1534.txt @@ -0,0 +1 @@ + Timothy Zhu Assistant Professor Affiliation(s): School of Electrical Engineering and Computer Science Computer Science and Engineering W353 Westgate Building timothyz@cse.psu.edu 814-863-1264 Personal or Departmental Website Research Areas: Interest Areas: Research areas: Systems, performance analysis/modeling, resource management, scheduling, cloud computing. Education BS, Computer Science, Carnegie Mellon University, 2008 Ph D, Computer Science, Carnegie Mellon University, 2017 Publications Conference Proceedings Daniel S. Berger, Benjamin Berg, Timothy Zhu, Siddhartha Sen and Mor Harchol-Balter, 2018, "RobinHood: Tail Latency Aware Caching - Dynamic Reallocation from Cache-Rich to Cache-Poor", USENIX, pp. 195--212 Timothy Zhu, Michael A. Kozuch and Mor Harchol-Balter, 2017, "WorkloadCompactor: Reducing Datacenter Cost While Providing Tail Latency SLO Guarantees", ACM, New York, NY, USA, pp. 598610 Timothy Zhu, Daniel S. Berger and Mor Harchol-Balter, 2016, "SNC-Meister: Admitting More Tenants with Tail Latency SLOs", ACM, New York, NY, USA, pp. 374387 Alexey Tumanov, Timothy Zhu, Jun Woo Park, Michael A. Kozuch, Mor Harchol-Balter and Gregory R. Ganger, 2016, "TetriSched: Global Rescheduling with Adaptive Plan-ahead in Dynamic Heterogeneous Clusters", ACM, New York, NY, USA, pp. 35:135:16 Timothy Zhu, Alexey Tumanov, Michael A. Kozuch, Mor Harchol-Balter and Gregory R. Ganger, 2014, "PriorityMeister: Tail Latency QoS for Shared Networked Storage", ACM, New York, NY, USA, pp. 29:129:14 Eno Thereska, Hitesh Ballani, Greg OShea, Thomas Karagiannis, Antony Rowstron, Tom Talpey, Richard Black and Timothy Zhu, 2013, "IOFlow: A Software-defined Storage Architecture", ACM, New York, NY, USA, pp. 182196 Anshul Gandhi, Timothy Zhu, Mor Harchol-Balter and Michael A. Kozuch, 2012, "SOFTScale: Stealing Opportunistically for Transient Scaling", Springer-Verlag New York, Inc., New York, NY, USA, pp. 142163 Timothy Zhu, Anshul Gandhi, Mor Harchol-Balter and Michael A. Kozuch, 2012, "Saving Cash by Using Less Cache", USENIX Association, Berkeley, CA, USA, pp. 33 Research Projects Honors and Awards EuroSys 2016 best student paper award, EuroSys, April 2016 - April 2016 NSF GRFP Fellowship, NSF, 2012 - 2015 Service Service to Penn State: Service to External Organizations: diff --git a/src/data/compiled_bios/1535.txt b/src/data/compiled_bios/1535.txt new file mode 100644 index 0000000000..a9112230e9 --- /dev/null +++ b/src/data/compiled_bios/1535.txt @@ -0,0 +1 @@ + Paul Buis Chairperson of the Department of Computer Science Associate Professor of Computer Science Curriculum Vitae Phone: 765-285-8641 Email: View Email Address | Add Contact to Outlook Room: RB 455 Education Ph.D., Computer Science, Purdue University, 1991 M.S., Computer Science, Purdue University, 1989 M.S., Mathematics, Purdue University, 1986 Related Links Faculty-Maintained Web Site LinkedIN page diff --git a/src/data/compiled_bios/1536.txt b/src/data/compiled_bios/1536.txt new file mode 100644 index 0000000000..b193eac309 --- /dev/null +++ b/src/data/compiled_bios/1536.txt @@ -0,0 +1 @@ + Jason Buie Assistant Lecturer of Computer Science Curriculum Vitae Phone: 765-285-8641 Email: View Email Address | Add Contact to Outlook Room: RB 312 Education M.S., Computer Science, Ball State University, 2016 M.S., Information & Communication Sciences, 2007 Certifications Microsoft Certified Professional Microsoft March 2012 Present Microsoft Technology Associate: 98-366 Microsoft March 2012 Present 3356: Configuring and Installing Assemblies in the Microsoft .NET Framework 2.0 Microsoft Learning March 2012 Present 3354: Implementing System Types and Interfaces in the Microsoft .NET Framework 2.0 Microsoft Learning February 2012 Present 3355: Implementing Collections and Generics in the Microsoft .NET Framework 2.0 Microsoft Learning February 2012 Present Web Design Specialist CIW Advisory Council April 2011 Present Certified Internet Webmaster Professional CIW Advisory Council April 2011 Present Internet and Computing Core Certification (IC3) Certiport January 2011 Present Security + Certified Professional CompTIA December 2010 Present Certified Java Associate SE5/SE6 Oracle December 2010 Present Cisco CCNA 1 & 2 Cisco Networking Academy May 2010 Present Network+ Certified Professional CompTIA February 2010 Present Apple Certified Support Professional Apple November 2009 Present A+ Certified Professional CompTIA January 2009 Present Microsoft Certified Application Specialist Microsoft August 2008 Present Microsoft Office Specialist (Expert) Microsoft March 2006 Present diff --git a/src/data/compiled_bios/1537.txt b/src/data/compiled_bios/1537.txt new file mode 100644 index 0000000000..1b6577379e --- /dev/null +++ b/src/data/compiled_bios/1537.txt @@ -0,0 +1 @@ + Paul Gestwicki Professor of Computer Science Curriculum Vitae Phone: 765-285-8668 Email: View Email Address | Add Contact to Outlook Room: RB 479 Education Ph.D., Computer Science and Engineering, University at Buffalo, 2005. M.S., Computer Science and Engineering, University at Buffalo, 2000. Research Interests Serious game design and development Computer Science and interdisciplinary education Interactive software and hybrid systems Recognitions Senior Member, Association of Computing Machinery Sampling of Recent Scholarship PUBLICATIONS - REFEREED Book Chapter Gestwicki, P. V. (2018). Learning the Agile Way with Iterative and Incremental Projects. It Works for Me with High-Impact Practices: A Step-by-Step Guide (pp. 39-41). New Forums. Conference Proceeding Design and Evaluation of an Undergraduate Course of Software Development Practices , SIGCSE '18,Proceedings of the 49th ACM Technical Symposium on Computer Science Education, pages 221-226. Book Chapter Gestwicki, P. V., Largent, D. L. (2018). Improving course plans via standardized committee review. In C. Sweet, H. Blythe, & R. Carpenter (Eds.), It Works for Me with High-Impact Practices: A Step-By-Step Guide (pp. 13-14). Stillwater, OK: New Forums Press. Abstract Gestwicki, P. V., Stumbaugh, K. (2016). Design and evaluation of a cybersecurity education game. Proceedings of Meaningful Play 2016 . East Lansing, MI: Michigan State University. Journal Article Gestwicki, P. V., McNely, B. (2016). Interdisciplinary projects in the academic studio. Transactions on Computing Education, 6 (2), 8:1-8:24. Journal Article Gestwicki, P. V. (2015). Teaching game programming with PlayN . Journal of Computing Sciences in Colleges, 31 (1), 90-97. Conference Proceeding Gestwicki, P. V., Stumbaugh, K. (2015). Observations and Opportunities in Cybersecurity Education Game Design . Proceedings of the 20th International Conference on Computer Games (pp. 7). Journal Article Dibble, C., Gestwicki, P. V. (2014). Refactoring code to increase readability and maintainability: a case study . Consortium of Computing Sciences in Colleges, 30 (1), 41-51. Conference Proceeding Gestwicki, P. V., Ecenbarger, C. (2014). The Bone Wars: Design and Development, Social Media and Community. Proceedings of the 2014 International Conference on Meaningful Play (pp. 23). East Lansing, MI: Michigan State University. meaningfulplay.msu.edu/proceedings2014/mp2014_submission_7.pdf Conference Proceeding Gestwicki, P. V. (2014). Equations Squared: Combining educational game design theory with an equations learning progression to design a mathematics assessment g ame. AERA Online Paper Repository (pp. 5). American Educational Research Association. www.aera.net/Publications/OnlinePaperRepository/AERAOnlinePaperRepository/tabid/12720/Default.aspx Book Chapter McNely, B., Gestwicki, P. V. (2013). Visualizing knowledge work with Google Wave. Designing Web-Based Applications for 21st Century Writing Classrooms . Amityville, NY: Baywood Press. Conference Proceeding Franklin, L., Gestwicki, P. V., Morris, R. V. (2013). Empirical Research on the Impact of Morgan's Raid . Conference Proceeding Gestwicki, P. V., McNely, B. (2013). Empirical evaluation of periodic retrospective assessment. Proceedings of the 44th ACM Technical Symposium on Computer Science Education (pp. 699-704).. Conference Proceeding Ahmad, K., Gestwicki, P. V. (2013). Studio-based learning and App Inventor for Android in an introductory CS course for non-majors . Proceedings of the 44th ACM Technical Symposium on Computer Science Education (pp. 287-292). ACM. Journal Article McNely, B., Gestwicki, P. V., Gelms, B., Burke, A. (2013). Spaces and Surfaces of Invention: A Visual Ethnography of Game Development . Enculturation (15). EXTERNAL GRANTS Gestwicki, P. V., "Collaboration Station: An Educational Video Game about Science and Engineering Aboard the International Space Station," Sponsored by Indiana Space Grant Consortium , $15,000.00. (April 10, 2017 - April 9, 2018). Related Links Faculty-maintained Web site YouTube Video Tutorials Blog Google Scholar page diff --git a/src/data/compiled_bios/1538.txt b/src/data/compiled_bios/1538.txt new file mode 100644 index 0000000000..745d5d3753 --- /dev/null +++ b/src/data/compiled_bios/1538.txt @@ -0,0 +1 @@ + Dave Largent Associate Lecturer of Computer Science Curriculum Vitae Phone: 765-285-8641 Email: View Email Address | Add Contact to Outlook Room: RB 375 Education M.S., Computer Science, Ball State University, 2010 Professional Specializations Business computer applications Pedagogy Group stages of development Diversity and Inclusivity Industry Experience Information Services Manager, Townsend Tree Service Co., Inc., 1988-2007 Systems Analysis Supervisor, Townsend Tree Service Co., Inc., 1984-1988 Computer Programmer, Townsend Tree Service Co., Inc., 1979-1984 Recognitions Senior Member, Association for Computing Machinery Author of Article on ACM Computing Reviews 21st Annual Best of Computing: Notable Books and Articles List, Measuring and Understanding Team Development by Capturing Self-assessed Enthusiasm and Skill Levels . ACM Transactions on Computing Education 16 (2), 27 Additional Responsibilities Faculty Advisor, Golden Key International Honour Society CCSC:MW 2016 & 2017, Conference Chair Member, Indiana Computer Science Higher Education Advisory Board for K-12 Computer Science Sampling of Recent Scholarly Activity PUBLICATIONS - REFEREED Book Chapter Largent, D. L. (2018). Highlight your students work: Art show (but not by artists)! In C. Sweet, H. Blythe, & R. Carpenter (Eds.), It Works for Me with High-Impact Practices: A Step-By-Step Guide (pp. 132-134). Stillwater, OK: New Forums Press. Book Chapter Gestwicki, P. V., Largent, D. L. (2018). Improving course plans via standardized committee review. In C. Sweet, H. Blythe, & R. Carpenter (Eds.), It Works for Me with High-Impact Practices: A Step-By-Step Guide (pp. 13-14). Stillwater, OK: New Forums Press. Book Chapter Largent, D. L. (2018). Team work does not have to be a bad thing. In C. Sweet, H. Blythe, & R. Carpenter (Eds.), It Works for Me with High-Impact Practices: A Step-By-Step Guide (pp. 63-65). Stillwater, OK: New Forums Press. Book Chapter Hall, S. S., Largent, D. L., Vercellotti, M. L. (2017). Building Institutional Support for SoTL. It Works for Me with SoTL: A Step-By-Step Guide (pp. 56-58). Stillwater, OK: New Forums Press. Book Chapter Largent, D. L. (2017). Try out your new pedagogy. Find out if it works. Share it with the world. Hold on! Not so fast... In H. Blythe, C. Sweet, & R. Carpenter (Eds.), It Works for Me with SoTL: A Step-By-Step Guide (pp. 58-60). Stillwater, OK: New Forums Press. Book Chapter Largent, D. L. (2016). A case study in Computer Science. In L. Santos Green, J. R. Banas, & R. Perkins (Eds.), The flipped college classroom: Conceptualized and re-conceptualized (pp. 5 pages). New York, NY: Springer. Book Chapter Largent, D. L. (2016). Asking novice computer programmers to reflect on their experience writing code. In H. Blythe, C. Sweet, & R. Carpenter (Eds.), It Works For Me, Metacognitively: Shared Tips for Effective Teaching (pp. 131-132). Stillwater, OK: New Forums Press. Book Chapter Largent, D. L. (2016). Helping students identify a healthy learning environment. In H. Blythe, C. Sweet, & R. Carpenter (Eds.), It Works For Me, Metacognitively: Shared Tips for Effective Teaching (pp. 97-98). Stillwater, OK: New Forums Press. Journal Article Largent, D. L. (2016). Measuring and Understanding Team Development by Capturing Self-assessed Enthusiasm and Skill Levels . ACM Transactions on Computing Education 16 (2), 27. Related Links Faculty-maintained Website Blog LinkedIN Page Google Scholar Page diff --git a/src/data/compiled_bios/1539.txt b/src/data/compiled_bios/1539.txt new file mode 100644 index 0000000000..a0cd9fdae1 --- /dev/null +++ b/src/data/compiled_bios/1539.txt @@ -0,0 +1 @@ + Karl Mesarosh Assistant Lecturer of Computer Science Curriculum Vitae Phone: 765-285-8641 Email: View Email Address | Add Contact to Outlook Room: RB 312 Education M.S., Computer Science, Ball State University, 2016 diff --git a/src/data/compiled_bios/154.txt b/src/data/compiled_bios/154.txt new file mode 100644 index 0000000000..4ef1656d86 --- /dev/null +++ b/src/data/compiled_bios/154.txt @@ -0,0 +1 @@ + General Home PI Group Research Publications Information Theory Lab About the lab The information theory lab carries out research in the area of information theory, which deals with the fundamentals of information processing and transmission, and its applications to blockchain systems, machine learning, computational biology and wireless networking. We are currently in the process of building this research group at UW. We are always looking for highly motivated Ph.D. students and postdoctoral researchers, with interests in information theory, machine learning and algorithms. We work both on the mathematical theory for these problems as well as in engineering the associated systems (for example, in developing high performance software systems for computational biology). Students with a deep interest in either theory or in systems development are encouraged to apply. Prior interest/exposure to biology will be an added advantage. Please send me a note if you are interested. Contact PI: Sreeram Kannan Assistant Professor Electrical & Computer Engineering Department University of Washington, Seattle EEB 414 Phone: (206) 685-8756 Email: at uw dot edu Updates Nov-Dec 2018: I will be giving talks at UIUC, Stanford, Berkeley, UCLA, TAMU and UT Austin. Upcoming papers in NIPS 2018: Deepcode: Feedback codes via Deep Learning and Estimators for Multivariate Information Measures in General Probability Spaces I had the pleasure of giving a tutorial with Hyeji Kim and Sewoong Oh at ISIT 2018 on "Information theory and deep learning: An emerging interface" Allerton paper on "Potential conditional mutual inforamtion" Upcoming papers in NIPS 2017: "Estimating Mutual Information for Discrete-Continuous Mixtures" and Discovering Potential Correlations via Hypercontractivity Early Faculty Career Award from NSF for project on "Information theoretic methods for RNA Analytics" Upcoming paper on ``Resolving multicopy duplications in the human genome'' to appear in RECOMB, 2017 . Paper on ``Network inference via Directed information: The deterministic limit'' at Allerton 2016. Upcoming: applications to single cell analysis. Tutorial on ``Combinatorial methods for nucleic acid sequence analysis'' at ACM BCB, 2016 with Mark Chaisson . Paper on temporal latent variable inference available at Arxiv . Paper will be presented at IEEE Data Sciences and Advanced Analytics conference 2016 . Preprint of ICML 2016 paper on Causal strength inference now available on Arxiv . Applications to single-cell analysis. Preprint of paper on RNA-Seq assembly now available on Biorxiv. Our RNA-Seq assembler, Shannon, is now available under GNU public license 3.0: Shannon NIH R01 Award for "Optimal Algorithms for RNA Sequence Assembly", Sep. 2015 with Lior Pachter , UC Berkeley and David Tse , Stanford University. Preview article "Fundamental limits of Search" in Cell Systems, Aug. 2015. TPC Member for Information theory workshop, Jeju Island, Oct. 2015 TPC Member for ACM BCB - Conference on Bioinformatics, Computational Biology, and Health Informatics, Sep. 2015 diff --git a/src/data/compiled_bios/1540.txt b/src/data/compiled_bios/1540.txt new file mode 100644 index 0000000000..d006097ad3 --- /dev/null +++ b/src/data/compiled_bios/1540.txt @@ -0,0 +1 @@ + Brad Shutters Assistant Professor of Computer Science Curriculum Vitae Phone: 765-285-7892 Email: View Email Address | Add Contact to Outlook Room: RB 377 Education Ph.D., Computer Science, Iowa State University, 2013 M.CS., Computer Science, University of Iowa, 2003 Interests Combinatorial Algorithms Theory of Computing Computational Biology Related Link Faculty-maintained Web site Google Scholar page diff --git a/src/data/compiled_bios/1541.txt b/src/data/compiled_bios/1541.txt new file mode 100644 index 0000000000..aaa94afe16 --- /dev/null +++ b/src/data/compiled_bios/1541.txt @@ -0,0 +1 @@ + Xin Sun Assistant Professor of Computer Science Curriculum Vitae Phone: 765-285-8655 Email: View Email Address | Add Contact to Outlook Room: RB 444 Education Ph.D., Computer Engineering, Purdue University, 2012 Professional Specialization Computer Networking Sampling of Recent Scholarship PUBLICATIONS - REFEREED Conference Proceeding Xue, Y., Lin, L., Sun, X., Song, F. (2018). On A Simpler and Faster Derivation of Single Use Reliability Mean and Variance for Model-Based Statistical Testing . Proceedings of the 30th International Conference on Software Engineering and Knowledge Engineering (SEKE 2018) (pp. 635-640). Conference Proceeding Lin, L., Sun, X. (2018). A case for systematic detection and rigorous location of SDN control conflicts. Proceedings of the 43rd IEEE Conference on Local Computer Networks (LCN 2018) . Conference Proceeding Sun, X. (2017). Shedding Light on the Complexity of Enterprise Routing Design: A Case Study (pp. 214-218). 3rd IEEE International Conference on Computer and Communications (IEEE ICCC). Conference Proceeding Miller, D., Sun, X. (2017). Systematic IP Prefix Assignment for Compact Router Forwarding Tables (pp. 658-666). 42nd Annual IEEE Conference on Local Computer Networks (IEEE LCN). Conference Proceeding Sun, X., Sun, F.-S. (2016). A Hybrid Approach to Detecting Traffic Anomaly in Large-Scale Data Networks (pp. 1418-1419). Las Vegas, Nevada: 2016 International Conference on Computational Science and Computational Intelligence. ieeexplore.ieee.org/document/7881570/ EXTERNAL GRANTS Sun, X., "Automated and Assurable Security Policy Migration to Software-defined Networking," Sponsored by Security and Software Engineering Research Center (S2ERC), $20,000.00. (June 1, 2017 - May 31, 2019). Sun, X., " NeTS: Characterizing, Quantifying and Modeling Network Complexity ," Sponsored by National Science Foundation, $134,346.00. (September 1, 2016 - April 30, 2019). Related Links Google Scholar page diff --git a/src/data/compiled_bios/1542.txt b/src/data/compiled_bios/1542.txt new file mode 100644 index 0000000000..550b891121 --- /dev/null +++ b/src/data/compiled_bios/1542.txt @@ -0,0 +1 @@ + Shaoen Wu Associate Professor of Computer Science Curriculum Vitae Phone: 765-285-8658 Email: View Email Address | Add Contact to Outlook Room: RB 478 Additional Responsibilities Assistant Chair, Department of Computer Science Education Ph.D., Auburn University, Computer Science and Software Engineering, 2008 Sample of Recent Scholarship Wu, Si, Wu, Wang, Dynamic Trust Relationships Aware Data Privacy Protection in Mobile Crowd-Sensing , IEEE Internet of Things Journal, October 2017. Yang, Zhu, Wu, An Architecture of Cloud-Assisted Information Dissemination in Vehicular Networks , IEEE Access, Volume 4, May 2016. Wang, Wu, Chen, Wang, Security protection between users and the mobile media cloud , IEEE Communications, March 2014. Related Links Faculty-maintained Website LinkedIN page Google Scholar page diff --git a/src/data/compiled_bios/1543.txt b/src/data/compiled_bios/1543.txt new file mode 100644 index 0000000000..e47bb0ad47 --- /dev/null +++ b/src/data/compiled_bios/1543.txt @@ -0,0 +1 @@ + Wayne Zage George and Frances Ball Distinguished Professor of Computer Science Curriculum Vitae Phone: 765-285-8664 Email: View Email Address | Add Contact to Outlook Room: RB 441 Education M.A., Computer Science, Ball State University, 1982 D.A., Mathematics, University of Illinois at Chicago, 1977 M.S., Mathematics, University of Illinois at Chicago, 1973 B.S., Mathematics, University of Illinois at Chicago, 1970 Awards TechpointMIRA Award recipient, for Education Contribution to Technology, 2008 Alexander Schwarzkopf Prize for Technological Innovation , NSF I/UCRC Association, 2007 Outstanding Faculty Award, Ball State University, 2002 Researcher of the Year, Ball State University, 1994 Outstanding Young Faculty Award, Ball State University, 1981 AdditionalResponsibilities Director, Security and Software Engineering Research Center Member, Muncie-Delaware County Community Technology Initiative, Technology Transfer Committee Related Links Faculty-maintained web site LinkedIN page diff --git a/src/data/compiled_bios/1544.txt b/src/data/compiled_bios/1544.txt new file mode 100644 index 0000000000..56d483e7e7 --- /dev/null +++ b/src/data/compiled_bios/1544.txt @@ -0,0 +1 @@ + Min Zhang Assistant Lecturer of Computer Science Curriculum Vitae Phone: 765-285-8641 Email: View Email Address | Add Contact to Outlook Room: RB 314 Education M.S., Computer Science, Ball State University, 1999 diff --git a/src/data/compiled_bios/1545.txt b/src/data/compiled_bios/1545.txt new file mode 100644 index 0000000000..788b194793 --- /dev/null +++ b/src/data/compiled_bios/1545.txt @@ -0,0 +1 @@ + Kim Bechdolt Administrative Coordinator Phone: 765-285-8641 Email: View Email Address | Add Contact to Outlook Room: RB 455 diff --git a/src/data/compiled_bios/1546.txt b/src/data/compiled_bios/1546.txt new file mode 100644 index 0000000000..41613deaa8 --- /dev/null +++ b/src/data/compiled_bios/1546.txt @@ -0,0 +1 @@ + Spencer Davis Beowulf Cluster Administrator Phone: 765-285-8637 Email: View Email Address | Add Contact to Outlook Room: RB 314 diff --git a/src/data/compiled_bios/1547.txt b/src/data/compiled_bios/1547.txt new file mode 100644 index 0000000000..65b50e5fa5 --- /dev/null +++ b/src/data/compiled_bios/1547.txt @@ -0,0 +1 @@ + Home Research Publications Books Surveys Papers Slides Students Current Former Teaching BioSktech Contact Research Interests Computational & discrete geometry: Paradigms & techniques, approximation algorithms, stochastic models, geometric optimization, kinetic geometry, data structures, arrangements, proximity problems, trangulation, motion planning, geometric sampling. Shape Analysis: Representation, matching, clustering, similarity searching. Trajectory data analysis: Trajectory segmentation, matching, clustering, answering queries. GIS and ecologic modeling: Terrain modeling and analysis, navigation, visibility, flow analysis, ecological modeling. Sensor networks: Processing sensor data, communication and energy efficient algorithms, sensor network design, sensor networks for ecological modeling. top Current Students & Postdocs Students Postdoc Aaron Lowe Abhinandan Nath Stavros Sintos Allen Xiao Kyle Fox See Former Students & Postdocs top Teaching Recent Courses COMPSCI 532 Design & Analysis of Algorithms 2016 , 2014 , 2012 COMPSCI 634 Geometric Algorithms 2016 , 2014 , 2011 COMPSCI 534 (234) Computational Geometry Fall 2011 , 2008 , 2005 COMPSCI 330 Design & Analysis of Algorithms 2015 , 2013 , 2012 COMPSCI 296 Computational Complexity 2015 Other Courses CPS 124CPS 296 Computer Graphics 2001 CPS 240 Computational Complexity 2001 CPS 260BGT 204 Algorithms in Computational Biology 2003 CPS 296 Randomized Algorithms 2000 CPS 296 Shape Analysis 2004 CPS 296 Geometric Optimization 2007 UPE 309BIO 309 Ecological Forecasting 2002 top BioSketch Ph.D.(Computer Science), Courant Institute, New York, 1989. M.S. (Computer Science), University of California Santa Barbara, 1986. B.E. (Electronics and Communication), University of Roorkee, Roorkee, India, 1982. top Contact Pankaj K. Agarwal Department of Computer Science Levine Science Research Center D214A Duke University Box 90129 Durham NC 27708-0129 Phone: (919) 660-6540 Fax: (919) 660-6519 Email: pankaj at cs.duke.edu top diff --git a/src/data/compiled_bios/1548.txt b/src/data/compiled_bios/1548.txt new file mode 100644 index 0000000000..95d80ea676 --- /dev/null +++ b/src/data/compiled_bios/1548.txt @@ -0,0 +1 @@ + Owen Astrachan 2016 image , 2013 official pic , 2013' official pic , 2008 official pic , 2003 official pic , a few years ago , many years ago , hard at work , biker-like dude , and self portrait Director of Undergraduate Studies Professor of the Practice of Computer Science Computer Science Department D241 LSRC, Research Drive, Box 90129 Duke University Durham, NC 27708 (919) 660-6522, fax: (919) 660-6519 pgp/gpg key Where is ola? Getting to my office via Google Maps Material accessible from this web page that was created by Owen Astrachan is licensed under a Creative Commons License . We're revising our CS1/compsci 101 course and I'm (intermittently) blogging about the process. I'm a CDEF: CISE Distinguished Education Fellow code as a metaphor info from CS&IT and HarambeeNet Slides from Recent Talks bubblesort (see Barack Obama discuss Bubblesort ) Grace Hopper on Letterman! Pickastudent executable jar and if that doesn't work try this: pick a random student code Student Data Structure Songs (and videos) Office Hours, Spring 2019 Tuesday 11:00-12:00, Wednesday 3:30-4:30, When my door is open. Teaching and Courses Family Professional Spring 2019 Compsci 201 Algorithms and Data Structures in Java Spring 2019 Compsci 342 Technical and Social Analysis of Information and the Internet Past courses from past semesters anonymous course feedback for CPS courses. Snowman 2007 Our Family, April 2006 Ethan Adam Children say no to war (movie) Children as Robots Revolt (youtube home movie) Uncle Josh and kids playdrums (movie) me pretending to be Ethan Laura Heyneman Thanksgiving Family Football Dogs and Cats personal odyssey/biography wiki owen Music and a Google Experiment vita and official bio csprinciples code as a metaphor from bioinformatics to networks and regex tool Java in AP Ambient/Eclipse Tapestry/C++ book Talks using patterns Papers Panels/Presentations older stuff FYI 2000 A Workshop on First Year Instruction in Computer Science. July 15/16, 2000. Apprentice learning METEOR Research in Automated Theorem Proving Internet Programming Contest (old) C++ and AP I enjoy being called an idiot by my friends, acquaintances, and colleagues. pgp key -----BEGIN PGP PUBLIC KEY BLOCK----- Version: PGPfreeware 6.5.8 for non-commercial use mQGiBDt6zFcRBADIFZ67euctqePlYf5OhyfOix6ktDsoHjFqJoQgd4QmByAxQCwF T4KK+KIrCjMmRbF37qysNtdclURp9w/lEElKrPKseeiJW/i2uN1AuNRnFfusX0jv md6s57VR9qiuHteWTWL21WWN3w1W+C2LPowsS13zPlWRdO/Ave8Fd17VPwCg/6w+ 57iLXayTQTLBY3/Q+8r5Dw8D/2eKXHTJh/IDCKzeeG9uoBKICRelWkm1wbQLfPkk JQOQY5Tim0BOC5aE4TW6CqiPqO/nohbNF7QcwX7zwJ6GEaoEbp9d5DUpmQrFLFWB ilbdJp0gMwnfnWThunpiXBbvyzMcYGupTN7/Y0e7k/4/7UO2PVLWJoCcMfCxukNj MfUJA/9YJCnLISkStSOW58RnUJPpShgtbbwWsuXAJ7OZGkKx61SwWKFXadudU5Q1 eUUnpVxjPhOkNAyxS6AwK+EL5GvYLBTOv8kI0UkqqsTBHmBU40bUig0Q8RQvstzP fVyA13hq1mvfqSO070aNJPYcK9lOOnPcXRr/Oz0PJQlQxI+RCrQgT3dlbiBBc3Ry YWNoYW4gPG9sYUBjcy5kdWtlLmVkdT6JAE4EEBECAA4FAjt6zFcECwMCAQIZAQAK CRBP8/vwhqpGskYdAJ42pQPxI2B+kcnIclS1/XzrOepK+QCg0q7VpOpY5J39yMDI kCWk5EXe7Ca5Ag0EO3rMVxAIAPZCV7cIfwgXcqK61qlC8wXo+VMROU+28W65Szgg 2gGnVqMU6Y9AVfPQB8bLQ6mUrfdMZIZJ+AyDvWXpF9Sh01D49Vlf3HZSTz09jdvO meFXklnN/biudE/F/Ha8g8VHMGHOfMlm/xX5u/2RXscBqtNbno2gpXI61Brwv0YA WCvl9Ij9WE5J280gtJ3kkQc2azNsOA1FHQ98iLMcfFstjvbzySPAQ/ClWxiNjrtV jLhdONM0/XwXV0OjHRhs3jMhLLUq/zzhsSlAGBGNfISnCnLWhsQDGcgHKXrKlQzZ lp+r0ApQmwJG0wg9ZqRdQZ+cfL2JSyIZJrqrol7DVekyCzsAAgIH/R/JgTCwRrc9 RARcfNhuqKUuHQUI6C9aw2POJyu+s0nrL7FLlhVoUfj2+1zTMeg7/zQdKINi6Lwn lWAFxuA0As33HIqNy2RIw6/ocLcNqri05FhpZ9AfU2rP6nyx3HzNMXhIIbOb4cMp BjY4P9e6+YixgxoRGbqrun2CeN/1vaam3dsMPjnt3yDlyCjY3cedZzAd21KLptvH TYB3bc5w+XxbPwH8Lcb+SIgKOKcReqsMObYoNU1FdNzwtlcIiYsEkfIp2hjknYo3 LJPHSOx2vZrwc+tZ/nCg18TKD3eapvjS4V5ACTCA6jyDRsCXextJViUQSS5SgDmA ZyxHIwxwUWSJAEYEGBECAAYFAjt6zFcACgkQT/P78IaqRrKIywCg4V+lvQPO0bv2 4+d62B2y8R60ddMAoLptG4JeePdj4xBJ3x/t3qUHi3vy =HMv4 -----END PGP PUBLIC KEY BLOCK----- Owen L. Astrachan Last modified: Tue Jan 15 15:17:18 EST 2019 diff --git a/src/data/compiled_bios/1549.txt b/src/data/compiled_bios/1549.txt new file mode 100644 index 0000000000..a7cc5111d4 --- /dev/null +++ b/src/data/compiled_bios/1549.txt @@ -0,0 +1 @@ + research methods structures publications cover art contact Menu Close research methods structures publications cover art contact welcome High resolution cryo-electron microscopy Structure, 2018. DNA targeting by a CRISPR-Cas complex Image credit: V. Falconieri, NCI / Source: S. Subramaniam, NCI Targets bound to small-molecule inhibitors Image credit: V. Falconieri, NCI / Source: S. Subramaniam, NCI Allosteric inhibition of a cancer target Image credit: V. Falconieri, NCI / Source: S. Subramaniam, NCI Metabolic enzyme bound to PETG inhibitor Image credit: V. Falconieri, NCI / Source: S. Subramaniam, NCI Radiation damage upon electron irradiation Image credit: V. Falconieri, NCI / Source: S. Subramaniam, NCI Constrained single-particle tomography Image credit: D. Bliss, NLM / Source: S. Subramaniam, NCI Architecture of SIV and HIV-1 env glycoproteins Image credit: D. Bliss, NLM / Source: S. Subramaniam, NCI research publications cover art contact diff --git a/src/data/compiled_bios/155.txt b/src/data/compiled_bios/155.txt new file mode 100644 index 0000000000..4d978e4f5b --- /dev/null +++ b/src/data/compiled_bios/155.txt @@ -0,0 +1 @@ + Home People Research Papers Links Welcome to the SSLI Lab The University of Washington , Seattle is home to a broad community of speech and language research, within which the Signal, Speech and Language Interpretation (SSLI) Lab is a cornerstone of the technology efforts. The lab was founded in 1999 and currently supports a group of 3 faculty and about 12 graduate students engaged in solving the challenging problems in speech and language technology and general signal interpretation. We are located on the second floor of the Electrical Engineering building (EEB) in room 215. Get a map of the UW with our building marked. Try the "South Central Campus" map for a closer view, showing the nearest parking lot. Students We seek students with backgrounds in electrical engineering, computer science or linguistics, with an interest to learn about the other disciplines. Students can expect to develop expertise in a wide variety of statistical modeling techniques as well as software and systems engineering skills. They also have access to courses and potential collaborations with faculty in related departments on campus, including EE, CSE, Statistics, Linguistics, and Speech and Hearing Sciences. We place a high value on oral and written communication skills, and students have the opportunity to give presentations in lab seminars as well as at international conferences. Many students take a summer or a term in the academic year to do internships at leading research labs. SSLI graduates have taken positions in industry as well as academia, depending on their career goals and interests. Facilities The SSLI lab is supported by a 450 core compute cluster and 7 file servers. Efficient job scheduling is based on condor. We provide standard language, speech and signal processing tools, as well as develop our own, including GMTK. diff --git a/src/data/compiled_bios/1550.txt b/src/data/compiled_bios/1550.txt new file mode 100644 index 0000000000..46349805e6 --- /dev/null +++ b/src/data/compiled_bios/1550.txt @@ -0,0 +1 @@ + search Main Menu Undergraduate Overview Degree Programs BSE Degree Planning Areas of Concentration Minor in ECE 4+1: BSE+Master's Degree For Applicants Why ECE? Why Duke? Where Students Go Frequently Asked Questions Visiting Campus Computer Science vs. ECE Enrollment and Graduation Rates For Current Students Courses Independent Study Research Opportunities Student Groups Internships and Career Planning Graduation with Distinction Senior Design Awards and Honors Student Learning Outcomes Research Experiences for Undergraduates (REU) Diversity & Inclusion Graduate Why Choose Duke ECE? Compare Our Degrees How to Apply PhD PhD Career Outcomes Meet Our Students Frequently Asked Questions Master's Degrees Master of Science (MS) Master of Engineering (MEng) Master's Career Outcomes Frequently Asked Questions Certificates & Training Programs Online Courses Graduate Courses For Current Students Courses and Registration Student Groups TA Training Apply for Fellowships Masters Research Opportunities Career Services DEEP SEA Startup Accelerator DEEP SEA Application Diversity & Inclusion Promoting an Inclusive Environment Research Overview Computer Engineering Engineering Physics Microelectronics, Photonics and Nanotechnology Signal and Information Processing and Robotics Centers and Labs Faculty All Faculty Computer Engineering Faculty Engineering Physics Faculty Microelectronics, Photonics and Nanotechnology Faculty Signal and Information Processing Faculty Awards & Recognition About From the Chair Facts & Stats Mission and Vision Alumni Profiles Driving Directions News Media Coverage Entrepreneurship Stories Research News Email Newsletter Events Seminars Past Seminars CS-ECE Distinguished Seminar Series Quick Links Apply Careers Contact Directions Skip to main content Duke University Pratt School of Engineering Apply Contact Careers search Undergraduate Overview Degree Programs For Applicants For Current Students Research Experiences for Undergraduates (REU) Diversity & Inclusion Graduate Why Choose Duke ECE? Compare Our Degrees How to Apply PhD Master's Degrees Certificates & Training Programs Online Courses Graduate Courses For Current Students Diversity & Inclusion Research Overview Computer Engineering Engineering Physics Microelectronics, Photonics and Nanotechnology Signal and Information Processing and Robotics Centers and Labs Faculty All Faculty Computer Engineering Faculty Engineering Physics Faculty Microelectronics, Photonics and Nanotechnology Faculty Signal and Information Processing Faculty Awards & Recognition About From the Chair Facts & Stats Mission and Vision Alumni Profiles Driving Directions News Events John A. Board Associate Professor of Electrical and Computer Engineering John Board is an Associate Professor of ECE and of Computer Science. He also serves as Associate Chief Information Officer for Duke University. He received his D.Phil in 1986 from Oxford University. His research interests include: High performance scientific computing and simulation, novel computer architectures, cluster computing and parallel processing; ubiquitous computing. Appointments and Affiliations Associate Professor of Electrical and Computer Engineering Associate Professor of Computer Science Bass Fellow Contact Information Office Location: 209D Hudson Hall, Durham, NC 27708 Office Phone: (919) 660-5272 Email Address: jab@ee.duke.edu Websites: http://www.ee.duke.edu/~jab/ Education Ph.D. University of Oxford (UK), 1986 M.S. Duke University, 1982 B.S.E. Duke University, 1981 Research Interests High performance scientific computing and simulation, novel computer architectures, cluster computing and parallel processing; ubiquitous computing. Awards, Honors, and Distinctions Distinguished Teaching Award. Duke University School of Engineering. 2008 Distinguished Young Alumnus. Duke University. 2008 Klein Family Distinguished Teaching Award. Duke University, Pratt School of Engineering. 2008 Member. Eta Kappa Nu. 2008 Member. Phi Beta Kappa. 2008 Member. Tau Beta Pi. 2008 Rhodes Scholar. The Rhodes Trust. 2008 Courses Taught ECE 350L: Digital Systems ECE 392: Projects in Electrical and Computer Engineering ECE 459: Introduction to Embedded Systems ECE 493: Projects in Electrical and Computer Engineering ECE 494: Projects in Electrical and Computer Engineering ECE 495: Special Topics in Electrical and Computer Engineering ECE 550D: Fundamentals of Computer Systems and Engineering ECE 563: Cloud Computing ECE 899: Special Readings in Electrical Engineering Representative Publications Li, X; Chang, X; Board, JA; Trivedi, KS, A novel approach for software vulnerability classification , Proceedings of the Annual Reliability and Maintainability Symposium (2017) [ 10.1109/RAM.2017.7889792 ] [ abs ]. Ybarra, GA; Collins, LM; Huettel, LG; Coonley, KD; Massoud, HZ; Board, JA; Cummer, SA; Choudhury, RR; Gustafson, MR; Jokerst, NM; Brooke, MA; Willett, RM; Kim, J; Absher, MS, Integrated sensing and information processing theme-based redesign of the undergraduate electrical and computer engineering curriculum at Duke University , Advances in Engineering Education, vol 2 no. 4 (2010) [ abs ]. Ybarra, GA; Collins, LM; Huettel, LG; Massoud, HZ; Board, JA; Brooke, M; Jokerst, NM; Choudhury, RR; Gustafson, MR; Willett, RM; Coonley, K, Integrating sensing and information processing in an electrical and computer engineering undergraduate curriculum , Proceedings Frontiers in Education Conference, Fie (2009) [ 10.1109/FIE.2009.5350770 ] [ abs ]. Brown, A; Ybarra, G; Massoud, H; Board, J; Holmes, J; Coonley, K; Collins, L; Huettel, L; Gustafson, M; Cummer, S, Redesign of the core curriculum at Duke University , Asee Annual Conference and Exposition, Conference Proceedings (2006) [ abs ]. Brown, A; Ybarra, G; Massoud, H; Board, J; Holmes, J; Coonley, K; Collins, L; Huettel, L; Gustafson, M; Cummer, S, Redesign of the core curriculum at Duke University , ASEE Annual Conference and Exposition, Conference Proceedings (2006) [ abs ]. Faculty All Faculty Computer Engineering Faculty Engineering Physics Faculty Microelectronics, Photonics and Nanotechnology Faculty Signal and Information Processing Faculty Awards & Recognition Copyright 2011-2019 Duke University diff --git a/src/data/compiled_bios/1551.txt b/src/data/compiled_bios/1551.txt new file mode 100644 index 0000000000..3819d36735 --- /dev/null +++ b/src/data/compiled_bios/1551.txt @@ -0,0 +1 @@ + search Main Menu Undergraduate Overview Degree Programs BSE Degree Planning Areas of Concentration Minor in ECE 4+1: BSE+Master's Degree For Applicants Why ECE? Why Duke? Where Students Go Frequently Asked Questions Visiting Campus Computer Science vs. ECE Enrollment and Graduation Rates For Current Students Courses Independent Study Research Opportunities Student Groups Internships and Career Planning Graduation with Distinction Senior Design Awards and Honors Student Learning Outcomes Research Experiences for Undergraduates (REU) Diversity & Inclusion Graduate Why Choose Duke ECE? Compare Our Degrees How to Apply PhD PhD Career Outcomes Meet Our Students Frequently Asked Questions Master's Degrees Master of Science (MS) Master of Engineering (MEng) Master's Career Outcomes Frequently Asked Questions Certificates & Training Programs Online Courses Graduate Courses For Current Students Courses and Registration Student Groups TA Training Apply for Fellowships Masters Research Opportunities Career Services DEEP SEA Startup Accelerator DEEP SEA Application Diversity & Inclusion Promoting an Inclusive Environment Research Overview Computer Engineering Engineering Physics Microelectronics, Photonics and Nanotechnology Signal and Information Processing and Robotics Centers and Labs Faculty All Faculty Computer Engineering Faculty Engineering Physics Faculty Microelectronics, Photonics and Nanotechnology Faculty Signal and Information Processing Faculty Awards & Recognition About From the Chair Facts & Stats Mission and Vision Alumni Profiles Driving Directions News Media Coverage Entrepreneurship Stories Research News Email Newsletter Events Seminars Past Seminars CS-ECE Distinguished Seminar Series Quick Links Apply Careers Contact Directions Skip to main content Duke University Pratt School of Engineering Apply Contact Careers search Undergraduate Overview Degree Programs For Applicants For Current Students Research Experiences for Undergraduates (REU) Diversity & Inclusion Graduate Why Choose Duke ECE? Compare Our Degrees How to Apply PhD Master's Degrees Certificates & Training Programs Online Courses Graduate Courses For Current Students Diversity & Inclusion Research Overview Computer Engineering Engineering Physics Microelectronics, Photonics and Nanotechnology Signal and Information Processing and Robotics Centers and Labs Faculty All Faculty Computer Engineering Faculty Engineering Physics Faculty Microelectronics, Photonics and Nanotechnology Faculty Signal and Information Processing Faculty Awards & Recognition About From the Chair Facts & Stats Mission and Vision Alumni Profiles Driving Directions News Events Lawrence Carin James L. Meriam Professor of Electrical and Computer Engineering Lawrence Carin earned the BS, MS, and PhD degrees in electrical engineering at the University of Maryland, College Park, in 1985, 1986, and 1989, respectively. In 1989 he joined the Electrical Engineering Department at Polytechnic University (Brooklyn) as an Assistant Professor, and became an Associate Professor there in 1994. In September 1995 he joined the Electrical Engineering Department at Duke University, where he is now a Professor, and Vice Provost for Research. From 2003-2014 he held the William H. Younger Distinguished Professorship, and he was ECE Department Chair from 2011-2014. Dr Carin's early research was in the area of electromagentics and sensing, and over the last 15 years his research has moved to applied statistics and machine learning. He has recently served on the Program Committee for the following machine learning conferences: International Conf. on Machine Learning (ICML), Neural and Information Processing Systems (NIPS), Artificial Intelligence and Statistics (AISTATS), and Uncertainty in Artificial Intelligence (UAI). He was previously an Associate Editor (AE) of the IEEE Trans. on Antennas and Propagation, the IEEE Trans. on Signal Processing, and the SIAM J. of Imaging Science. He is currently an AE for the J. of Machine Learning Research. He is an IEEE Fellow. Appointments and Affiliations James L. Meriam Professor of Electrical and Computer Engineering Professor of Electrical and Computer Engineering Vice Provost for Research Professor of Computer Science Professor of Statistical Science Member of the Duke Clinical Research Institute Contact Information Office Location: 119 Allen Building, Durham, NC 27708 Office Phone: (919) 681-6436 Email Address: lcarin@ee.duke.edu Websites: http://www.ee.duke.edu/~lcarin Education Ph.D. University of Maryland, College Park, 1989 M.Sc.Eng. University of Maryland, College Park, 1986 B.S.E. University of Maryland, College Park, 1985 Research Interests Applied statistics and machine learning Awards, Honors, and Distinctions Fellows. Institute for Electrical and Electronics Engineers. 2001 Courses Taught CEE 780: Internship COMPSCI 393: Research Independent Study COMPSCI 394: Research Independent Study ECE 891: Internship STA 393: Research Independent Study STA 493: Research Independent Study In the News Larry Carin Reappointed to New Term as Vice Provost for Research (Oct 2, 2018) +DataScience Wants to Put the Power of Machine Learning in Everyones Hands (Sep 28, 2018) Duke Teaming Up With Microsoft In Durham and In The Cloud (Jul 9, 2018) Webs of Minds and Ideas Bind Dukes Campus (Mar 14, 2017) Duke to discuss partnership with Indian institute of Technology (Jan 6, 2016 | Triangle Business Journal) Duke Board Updated on Academic, Financial Issues at Fall Meeting (Oct 2, 2015) Duke, RTI team for projects, fund two with $100,000 each (Mar 4, 2015 | WRAL Tech Wire) Duke names new vice provost for research (May 23, 2014 | Durham Herald-Sun) Carin Named Vice Provost for Research (May 20, 2014) Representative Publications Carin, L; Pencina, MJ, On Deep Learning for Medical Image Analysis. , Jama, vol 320 no. 11 (2018), pp. 1192-1193 [ 10.1001/jama.2018.13316 ] [ abs ]. Liang, K; Gregory, C; Diallo, SO; Roe, K; Heilmann, G; Carin, L; Carlson, D; Spell, G; Sigman, J, Automatic threat recognition of prohibited items at aviation checkpoint with x-ray imaging: a deep learning approach , Anomaly Detection and Imaging With X Rays (Adix) Iii (2018) [ 10.1117/12.2309484 ] [ abs ]. Hultman, R; Ulrich, K; Sachs, BD; Blount, C; Carlson, DE; Ndubuizu, N; Bagot, RC; Parise, EM; Vu, M-AT; Gallagher, NM; Wang, J; Silva, AJ; Deisseroth, K; Mague, SD; Caron, MG; Nestler, EJ; Carin, L; Dzirasa, K, Brain-wide Electrical Spatiotemporal Dynamics Encode Depression Vulnerability. , Cell, vol 173 no. 1 (2018), pp. 166-180.e14 [ 10.1016/j.cell.2018.02.012 ] [ abs ]. Li, Y; Min, MR; Shen, D; Carlson, D; Carin, L, Video generation from text , 32nd Aaai Conference on Artificial Intelligence, Aaai 2018 (2018), pp. 7065-7072 [ abs ]. Shen, D; Zhang, Y; Henao, R; Su, Q; Carin, L, Deconvolutional latent-variable model for text sequence matching , 32nd Aaai Conference on Artificial Intelligence, Aaai 2018 (2018), pp. 5438-5445 [ abs ]. Faculty All Faculty Computer Engineering Faculty Engineering Physics Faculty Microelectronics, Photonics and Nanotechnology Faculty Signal and Information Processing Faculty Awards & Recognition Copyright 2011-2019 Duke University diff --git a/src/data/compiled_bios/1552.txt b/src/data/compiled_bios/1552.txt new file mode 100644 index 0000000000..9ee2726731 --- /dev/null +++ b/src/data/compiled_bios/1552.txt @@ -0,0 +1 @@ + search Main Menu Undergraduate Overview Degree Program Options CE Degree Planning (BSE) CE Study Tracks EnvE Degree Planning (BSE) Dual Majors Certificates Architectural Engineering Global Development Energy & The Environment 4+1: BSE+Master's Degree For Applicants Why CEE? Why Duke? 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Palmer Award Chi Epsilon Honor Society Earl I. Brown II Award Eric I. Pas Award Jeffrey B. Taub Award Robert J. Melosh Medal Call for Papers Senol Utku Award William Brewster Snow Award Driving Directions Alumni Undergraduate Class Photos Graduate Class Photos News Media Coverage Email Newsletter Research News Events Seminars Past Seminars Quick Links Apply Careers Contact Directions Skip to main content Duke University Pratt School of Engineering Apply Contact Careers search Undergraduate Overview Degree Program Options For Applicants For Current Students Outreach and Service Learning Diversity & Inclusion Graduate Why Choose Duke CEE? Compare Our Degrees How to Apply Financial Support PhD Master's Degrees Graduate Study Tracks Certificates & Training Programs For Current Students Diversity & Inclusion Research Overview Computational Mechanics & Scientific Computing Environmental Health Engineering Geomechanics & Geophysics for Energy and the Environment Hydrology & Fluid Dynamics Risk & Resilient Systems Faculty All Faculty Awards & Recognition About Meet the Chair Facts & Stats Advisory Board Serving a Global Society Department History Awards & Honors Driving Directions Alumni News Events David Carlson Assistant Professor of Civil and Environmental Engineering Appointments and Affiliations Assistant Professor of Civil and Environmental Engineering Assistant Professor - Track V in Biostatistics and Bioinformatics Assistant Professor in the Department of Electrical and Computer Engineering Assistant Professor of Computer Science Member of the Duke Clinical Research Institute Contact Information Office Location: North Pavilion 8047, 2400 Pratt St., Durham, NC 27705 Office Phone: (757) 784-6919 Email Address: david.carlson@duke.edu Education Ph.D. Duke University, 2015 Research Interests Machine learning, predictive modeling, health data science, statistical neuroscience Courses Taught CEE 690: Advanced Topics in Civil and Environmental Engineering CEE 692: Independent Study: Advanced Topics in Civil and Environmental Engineering ECE 590: Advanced Topics in Electrical and Computer Engineering In the News David Carlson: Engineering and Machine Learning for Better Medicine (Jan 9, 2018 | Duke Research Blog) David Carlson: Generating Scientific Understanding from Machine Learning (Aug 24, 2017 | Pratt School of Engineering) Representative Publications Zheng, T; Bergin, MH; Johnson, KK; Tripathi, SN; Shirodkar, S; Landis, MS; Sutaria, R; Carlson, DE, Field evaluation of low-cost particulate matter sensors in high-and low-concentration environments , Atmospheric Measurement Techniques, vol 11 no. 8 (2018), pp. 4823-4846 [ 10.5194/amt-11-4823-2018 ] [ abs ]. Goldstein, BA; Carlson, D; Bhavsar, NA, Subject Matter Knowledge in the Age of Big Data and Machine Learning. , Jama Network Open, vol 1 no. 4 (2018) [ 10.1001/jamanetworkopen.2018.1568 ] [ abs ]. Liang, K; Gregory, C; Diallo, SO; Roe, K; Heilmann, G; Carin, L; Carlson, D; Spell, G; Sigman, J, Automatic threat recognition of prohibited items at aviation checkpoint with x-ray imaging: a deep learning approach , Anomaly Detection and Imaging With X Rays (Adix) Iii (2018) [ 10.1117/12.2309484 ] [ abs ]. Hultman, R; Ulrich, K; Sachs, BD; Blount, C; Carlson, DE; Ndubuizu, N; Bagot, RC; Parise, EM; Vu, M-AT; Gallagher, NM; Wang, J; Silva, AJ; Deisseroth, K; Mague, SD; Caron, MG; Nestler, EJ; Carin, L; Dzirasa, K, Brain-wide Electrical Spatiotemporal Dynamics Encode Depression Vulnerability. , Cell, vol 173 no. 1 (2018), pp. 166-180.e14 [ 10.1016/j.cell.2018.02.012 ] [ abs ]. Vu, M-AT; Adal, T; Ba, D; Buzski, G; Carlson, D; Heller, K; Liston, C; Rudin, C; Sohal, VS; Widge, AS; Mayberg, HS; Sapiro, G; Dzirasa, K, A Shared Vision for Machine Learning in Neuroscience. , The Journal of Neuroscience : the Official Journal of the Society for Neuroscience, vol 38 no. 7 (2018), pp. 1601-1607 [ 10.1523/JNEUROSCI.0508-17.2018 ] [ abs ]. Faculty All Faculty Awards & Recognition Copyright 2011-2019 Duke University diff --git a/src/data/compiled_bios/1553.txt b/src/data/compiled_bios/1553.txt new file mode 100644 index 0000000000..d2cb171ccf --- /dev/null +++ b/src/data/compiled_bios/1553.txt @@ -0,0 +1 @@ + search Main Menu Undergraduate Overview Degree Programs BSE Degree Planning Areas of Concentration Minor in ECE 4+1: BSE+Master's Degree For Applicants Why ECE? Why Duke? Where Students Go Frequently Asked Questions Visiting Campus Computer Science vs. ECE Enrollment and Graduation Rates For Current Students Courses Independent Study Research Opportunities Student Groups Internships and Career Planning Graduation with Distinction Senior Design Awards and Honors Student Learning Outcomes Research Experiences for Undergraduates (REU) Diversity & Inclusion Graduate Why Choose Duke ECE? Compare Our Degrees How to Apply PhD PhD Career Outcomes Meet Our Students Frequently Asked Questions Master's Degrees Master of Science (MS) Master of Engineering (MEng) Master's Career Outcomes Frequently Asked Questions Certificates & Training Programs Online Courses Graduate Courses For Current Students Courses and Registration Student Groups TA Training Apply for Fellowships Masters Research Opportunities Career Services DEEP SEA Startup Accelerator DEEP SEA Application Diversity & Inclusion Promoting an Inclusive Environment Research Overview Computer Engineering Engineering Physics Microelectronics, Photonics and Nanotechnology Signal and Information Processing and Robotics Centers and Labs Faculty All Faculty Computer Engineering Faculty Engineering Physics Faculty Microelectronics, Photonics and Nanotechnology Faculty Signal and Information Processing Faculty Awards & Recognition About From the Chair Facts & Stats Mission and Vision Alumni Profiles Driving Directions News Media Coverage Entrepreneurship Stories Research News Email Newsletter Events Seminars Past Seminars CS-ECE Distinguished Seminar Series Quick Links Apply Careers Contact Directions Skip to main content Duke University Pratt School of Engineering Apply Contact Careers search Undergraduate Overview Degree Programs For Applicants For Current Students Research Experiences for Undergraduates (REU) Diversity & Inclusion Graduate Why Choose Duke ECE? Compare Our Degrees How to Apply PhD Master's Degrees Certificates & Training Programs Online Courses Graduate Courses For Current Students Diversity & Inclusion Research Overview Computer Engineering Engineering Physics Microelectronics, Photonics and Nanotechnology Signal and Information Processing and Robotics Centers and Labs Faculty All Faculty Computer Engineering Faculty Engineering Physics Faculty Microelectronics, Photonics and Nanotechnology Faculty Signal and Information Processing Faculty Awards & Recognition About From the Chair Facts & Stats Mission and Vision Alumni Profiles Driving Directions News Events Krishnendu Chakrabarty William H. Younger Professor of Engineering Krishnendu Chakrabartyis the William H. Younger Distinguished Professor of Engineering and Professor of Computer Science at Duke University. He is chair of the Department of Electrical and Computer Engineering. Please note this web page is not updated regularly. For up to date information, please go to: http://people.ee.duke.edu/~krish/ . Appointments and Affiliations William H. Younger Professor of Engineering Professor of Electrical and Computer Engineering Chair of the Department of Electrical and Computer Engineering Contact Information Office Location: 2513 CIEMAS, Durham, NC 27708 Office Phone: (919) 660-5270 Email Address: krish@ee.duke.edu Websites: http://people.ee.duke.edu/~krish/ Education Ph.D. University of Michigan at Ann Arbor, 1995 M.S. University of Michigan at Ann Arbor, 1992 Research Interests Testing and design-for-testability of integrated circuits and systems (SOCs, 3D, manycore); microfluidic biochips and cyberphysical systems; resilient computing systems; enterprise system optimization and smart manufacturing Awards, Honors, and Distinctions Fellow. American Association for the Advancement of Science. 2018 Fellow. Association for Computing Machinery. 2013 Fellow. Institute for Electrical and Electronics Engineers. 2008 Courses Taught COMPSCI 350L: Digital Systems COMPSCI 394: Research Independent Study ECE 350L: Digital Systems ECE 493: Projects in Electrical and Computer Engineering ECE 538: VLSI System Testing ECE 891: Internship ECE 899: Special Readings in Electrical Engineering In the News Six From Duke Named Fellows of American Association for Advancement of Science (Nov 27, 2018) Pratt School's Chakrabarty Receives Lifetime Achievement Award (Nov 21, 2013) Representative Publications Poddar, S; Bhattacharjee, S; Nandy, SC; Chakrabarty, K; Bhattacharya, BB, Optimization of Multi-Target Sample Preparation On-Demand With Digital Microfluidic Biochips , Ieee Transactions on Computer Aided Design of Integrated Circuits and Systems, vol 38 no. 2 (2019), pp. 253-266 [ 10.1109/TCAD.2018.2808234 ] [ abs ]. Georgiou, P; Vartziotis, F; Kavousianos, X; Chakrabarty, K, Testing 3D-SoCs using 2-D time-division multiplexing , Ieee Transactions on Computer Aided Design of Integrated Circuits and Systems, vol 37 no. 12 (2018), pp. 3177-3185 [ 10.1109/TCAD.2017.2780054 ] [ abs ]. Firouzi, F; Farahani, B; Ibrahim, M; Chakrabarty, K, Keynote Paper: From EDA to IoT eHealth: Promises, Challenges, and Solutions , Ieee Transactions on Computer Aided Design of Integrated Circuits and Systems, vol 37 no. 12 (2018), pp. 2965-2978 [ 10.1109/tcad.2018.2801227 ] [ abs ]. Jin, S; Zhang, Z; Chakrabarty, K; Gu, X, Failure prediction based on anomaly detection for complex core routers , Ieee/Acm International Conference on Computer Aided Design, Digest of Technical Papers, Iccad (2018) [ 10.1145/3240765.3243476 ] [ abs ]. Das, S; Basu, K; Doppa, JR; Pande, PP; Karri, R; Chakrabarty, K, Abetting Planned Obsolescence by Aging 3D Networks-on-Chip , 2018 12th Ieee/Acm International Symposium on Networks on Chip, Nocs 2018 (2018) [ 10.1109/NOCS.2018.8512162 ] [ abs ]. Faculty All Faculty Computer Engineering Faculty Engineering Physics Faculty Microelectronics, Photonics and Nanotechnology Faculty Signal and Information Processing Faculty Awards & Recognition Copyright 2011-2019 Duke University diff --git a/src/data/compiled_bios/1554.txt b/src/data/compiled_bios/1554.txt new file mode 100644 index 0000000000..22adb18558 --- /dev/null +++ b/src/data/compiled_bios/1554.txt @@ -0,0 +1 @@ + Jeffrey S. Chase Professor Department of Computer Science D306 Levine Science Research Center Duke University Durham, NC 27708-0129 Office phone: 919-660-6559 chase@cs.duke.edu teaching | research | activities | students | publications | CV | life | schedule | contact Announcements Teaching CPS 512: Advanced Distributed Systems , Fall 2017 CPS 310 : Introduction to * Systems (Spring 2017) CPS 510: Advanced Operating Systems , Spring 2015 CPS 114/214 : Computer Networks and Distributed Systems (Spring 2007) CPS 49S : The Global Commons: Cooperation and Conflict on the Internet (Fall 2006) CPS 300 : Introduction to Graduate Study More... Research My research area is operating systems/distributed systems. My current research focuses primarily on cloud infrastructure services and federation (e.g., ExoGENI ), trust management, and security in cloud environments (e.g., Silver ), and automation for cloud-hosted applications (e.g., ADAMANT ). My group also conducts research on network storage, software-defined and end-system networking, and Internet service infrastructures. Some recent works (pdfs): SAFE logical trust , SAFE GENI , ORCA retrospective , ExoGENI federated cloud , supercomputer file system performance (SC 12) , demand response for computing centers Older research overview (2010) Selected publications Activities Editorial Board, CACM Research Highlights Program Committees: NSDI 2013 , NSDI 2015 , SIGCOMM 2015 , SOCC 2015 , NSDI 2016 , OSDI 2016 Co-chair, NSF GENI Control Framework Working Group and member of GENI Architects panel (2010-2014). Faculty Co-Director of Scalable Computing for Duke University [ SCSC wiki ] (2008-2014) Faculty Liaison to RENCI for Duke University Co-chair, ACM Symposium on Cloud Computing (ACM SOCC 2011) Co-chair, International Conference on Testbeds and Research Infrastructures for the Development of Networks (TridentCom 2010) Program Committee, International Conference on Autonomic Computing (ICAC 2010) Co-chair, Workshop on Automated Control for Datacenters and Clouds (ACDC09) Program Committee, ACM Symposium on Operating Systems Principles (SOSP 2009) Program Committees: Managed Multi-Core Systems (MMCS 08) , NetEcon 2008 , HotPower 2009 , HotCloud 2009 Program Committee, USENIX 2008 Annual Technical Conference , June 2007. Program Committee, Networked Systems Design and Implementation (NSDI 2008) Co-chair, USENIX 2007 Annual Technical Conference , June 2007. Co-chair, SysML07 , April 2007. Co-chair, First Workshop on Economics of Networked Systems (NetEcon06), June 2006. Program Committee, USENIX Technical Conference , June 2006. Program Committee, International Conference on Autonomic Computing (ICAC), June 2006. Track Co-chair for Performance, Reliability, and Scalability, 15th International World-Wide Web Conference (WWW 2006), May 2006. Track Chair for Systems Software, Supercomputing 2005 (SC05), October 2005. Earlier activities Current Students Bing Xie Yuanjun Yao Postdoc: Qiang Cao Recently graduated: Vamsidhar Thummala Dr. Aydan Yumerefendi (Blue Stripe Software) Dr. Laura Grit (Amazon) Dr. David Irwin (U. Mass Amherst) Dr. Piyush Shivam (Sun Microsystems) Dr. Justin Moore (Google) Postdoc: Dr. Adriana Iamnitchi Dr. Rajiv Wickremisinghe (Oracle) Vinay Bansal (Cisco) Dr. Kenneth G. Yocum (UCSD) Dr. Ronald P. Doyle (IBM) Sara Sprenkle Dr. Darrell C. Anderson (Google) Omer Asad (Sun Microsystems) Richard Kisley (IBM) diff --git a/src/data/compiled_bios/1555.txt b/src/data/compiled_bios/1555.txt new file mode 100644 index 0000000000..52b1773b99 --- /dev/null +++ b/src/data/compiled_bios/1555.txt @@ -0,0 +1 @@ + Vincent Conitzer Kimberly J. Jenkins University Professor of New Technologies Professor of Computer Science , Professor of Economics , and Professor of Philosophy Levine Science Research Center, office D207 Box 90129, Duke University Durham, NC 27708, USA (I try to reply to as much as I reasonably can; my apologies if I am unresponsive or brief) Assistance: please contact Vicki for matters related to ACM TEAC , and Pam for other matters. Jump to: announcements , brief bio , research group , publications by date , publications by topic , teaching , miscellaneous , humor . ANNOUNCEMENTS RESEARCH GROUP: Michael Albert will start a faculty position at the University of Virginia (Darden School of Business + SEAS) later in 2018. Rupert Freeman will start a postdoc at Microsoft Research NYC later in 2018. Catherine Moon will start as an Economist at Keystone Strategy later in 2018. Seyed Majid Zahedi (whose primary advisor is Ben Lee ) will start a faculty position at the University of Waterloo (ECE). Yuan Deng was named one of the 2018 Google PhD Fellows . Fei Sha and I will serve as program chairs of AAAI in 2020. Rachel Freedman received the Outstanding Student Paper Honorable Mention at AAAI 2018 for our paper Adapting a Kidney Exchange Algorithm to Align with Human Values . We received a CCC Blue Sky Award for our paper Moral Decision Making Frameworks for Artificial Intelligence at AAAI 2017. Rupert Freeman was named one of the 2017 Facebook PhD Fellows . csrankings.org ranks Duke sixth in the US for artificial intelligence and fourth in the US for economics & computation (June 9, 2018; with all the necessary caveats about such rankings). USEFUL LINKS (LOCAL): Check out our Bass Connections project on moral AI ! Upcoming teaching: COMPSCI 270 (Spring 2019): Introduction to Artificial Intelligence. Current teaching: COMPSCI 590.2 (Fall 2018): Computational Microeconomics: Game Theory, Social Choice, and Mechanism Design. Moral Artificial Intelligence (Fall 2018) . Recent teaching: COMPSCI 223 (Spring 2018): Computational Microeconomics. COMPSCI 570 (Fall 2017): Artificial Intelligence. Philosophy 590.3 (Fall 2017) / 590.1 (Spring 2018): Ethics and AI. COMPSCI 590.2 (Spring 2017): Computation, Information, and Learning in Market Design. Less recent teaching: COMPSCI 290.4/590.4 (Spring 2015): Crowdsourcing Societal Tradeoffs. Please subscribe to the moral_ai mailing list if you are at Duke (or in the vicinity) and interested in topics in moral artificial intelligence. (The list is mostly used for local talk announcements.) Please subscribe to the cs-econ mailing list if you are at Duke (or in the vicinity) and interested in topics in the intersection between computer science and economics. (The list is mostly used for local talk announcements.) Also see our cs-econ website . We now have an MS in Economics and Computation at Duke. Other local activities at Duke: DRIV (Duke Robotics Intelligence and Vision) , Machine Learning , Algorithms seminar , Microeconomic Theory , Decision Sciences , DNAC (Duke Network Analysis Center) , Duke CTMS (Center for Theoretical and Mathematical Sciences) . USEFUL LINKS (GLOBAL): Here is our moral AI website . I will give a tutorial on Computational Social Choice and Moral Artificial Intelligence at IJCAI'18 . Please subscribe to the computational social choice mailing list if you are interested in computational aspects of social choice (voting, mechanism design, ...). Preston McAfee and I completed our two terms as editors-in-chief of ACM TEAC (Transactions on Economics and Computation) . The journal is now in the capable hands of Dave Pennock and Ilya Segal . SIGecom Exchanges is now in Yiling 's Ariel 's Shaddin 's Hu 's capable hands. BRIEF BIO Professional (for talk anouncements etc.): Vincent Conitzer is the Kimberly J. Jenkins University Professor of New Technologies and Professor of Computer Science, Professor of Economics, and Professor of Philosophy at Duke University. He received Ph.D. (2006) and M.S. (2003) degrees in Computer Science from Carnegie Mellon University, and an A.B. (2001) degree in Applied Mathematics from Harvard University. Conitzer works on artificial intelligence (AI). Much of his work has focused on AI and game theory, for example designing algorithms for the optimal strategic placement of defensive resources. More recently, he has started to work on AI and ethics: how should we determine the objectives that AI systems pursue, when these objectives have complex effects on various stakeholders? Conitzer has received the Social Choice and Welfare Prize, a Presidential Early Career Award for Scientists and Engineers (PECASE), the IJCAI Computers and Thought Award, an NSF CAREER award, the inaugural Victor Lesser dissertation award, an honorable mention for the ACM dissertation award, and several awards for papers and service at the AAAI and AAMAS conferences. He has also been named a Guggenheim Fellow, a Kavli Fellow, a Bass Fellow, a Sloan Fellow, and one of AI's Ten to Watch. Conitzer and Preston McAfee were the founding Editors-in-Chief of the ACM Transactions on Economics and Computation (TEAC). Personal: I grew up in Amsterdam , the Netherlands . Besides working and spending time with my wife and kids, I enjoy sports, in the past mostly tennis and judo , and more recently mostly soccer and running , all very much at a recreational level... For more information: please see my CV . RESEARCH GROUP (More people can be found on the cs-econ website .) Information for students applying to my group. Advice/opinions for students in my group. I consider myself very fortunate to work and have worked with some extremely talented individuals. Current postdocs: Michael Albert , Yu Cheng . Current Ph.D. students: Yuan (Eric) Deng (Computer Science), Rupert Freeman (Computer Science), Andrew Kephart (Computer Science), Catherine Moon (Economics), Caspar Oesterheld (Computer Science), Hanrui Zhang (Computer Science). Alumni: Aaron Kolb (Economics Ph.D. 2016, briefly a postdoc in CS in 2016, now an Assistant Professor of Business Economics and Public Policy (BEPP) at Indiana University Kelley School of Business ) Yuqian Li (Computer Science Ph.D. 2016, now at Google) Markus Brill (postdoc 2013-2015, now an Assistant Professor and Emmy Noether Research Group Leader at the Institute of Software Engineering and Theoretical Computer Science at TU Berlin ) Angelina Vidali (postdoc 2012-2014, now Academic Fellow at De Montfort University ) Troels Bjerre Lund (formerly Srensen) (postdoc 2012-2013, now an Assistant Professor in the Theoretical Computer Science section at the IT-University of Copenhagen ) Dmytro Korzhyk (Computer Science Ph.D. 2013, now at Two Sigma) Joshua (Josh) Letchford (Computer Science Ph.D. 2013, now at Sandia National Laboratories ) Taiki Todo (postdoc 2012-2013, now an Assistant Professor in the Department of Informatics, Kyushu University ) Lirong Xia (Computer Science Ph.D. 2011, now an Assistant Professor in RPI's Computer Science Department ) Mingyu Guo (Computer Science Ph.D. 2010, now a Lecturer (in the Australian sense) in the School of Computer Science, University of Adelaide ) Liad (Leo) Wagman (Economics Ph.D. 2009, now an Assistant Professor at the Illinois Institute of Technology Stuart School of Business ) Rachel Freedman (interdepartmental B.A. in Artificial Intelligence Systems, 2017) Jeremy Fox (Bachelor's in CS, 2017, now at Google) Max Kramer (B.A. in Philosophy and Psychology 2017, now a Ph.D. student in Philosophy at U. Arizona) Melissa Dalis (CS+Math+minor in Econ B.S. 2014, now a Data Scientist at Uber on the econ research team) Peter Franklin (Econ+CS B.S. 2008, CS M.S. 2010, now at Zynga) Joseph (Joe) Farfel (Computer Science M.S. 2007, now at Google) Bo Waggoner (Math+CS B.S. 2011, now a CS Ph.D. student at Harvard) Siyang Chen (Math B.S., CS B.S. 2012, now at Facebook) Matthew Rognlie (Econ+Math B.S. 2010, now an Assistant Professor of Economics at Northwestern) Peng Shi (Math B.S. + CS B.A. + Econ minor 2010, now an Assistant Professor at USC Marshall School of Business' Data Science and Operations group) Maggie Bashford (CS+Econ B.S. 2010, now at Deloitte) PUBLICATIONS By date; you can also see them by topic (automatically generated from this page, please let me know if you would like the code for this). 2019+ Vincent Conitzer. Designing Preferences, Beliefs, and Identities for Artificial Intelligence. In Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19) Senior Member / Blue Sky Track , Honolulu, HI, USA, 2019. Keywords: voting, judgment aggregation, philosophy, Sleeping Beauty, causal and evidential decision theory. Hanrui Zhang and Vincent Conitzer. A PAC Framework for Aggregating Agents' Judgments. In Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19) , Honolulu, HI, USA, 2019. Keywords: voting, judgment aggregation, PAC learning, machine learning. Hanrui Zhang, Yu Cheng, and Vincent Conitzer. A Better Algorithm for Societal Tradeoffs. In Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19) , Honolulu, HI, USA, 2019. Keywords: voting, single-peaked preferences, optimal voting rules, voting in combinatorial domains, judgment aggregation. Vincent Conitzer, Rupert Freeman, Nisarg Shah, and Jennifer Wortman Vaughan. Group Fairness for the Allocation of Indivisible Goods. In Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19) , Honolulu, HI, USA, 2019. Full version. Keywords: fair decision making. Hanrui Zhang, Yu Cheng, and Vincent Conitzer. When Samples Are Strategically Selected. Keywords: mechanism design, automated mechanism design, signaling, machine learning. Hanrui Zhang, Yu Cheng, and Vincent Conitzer. Quantitative Judgment Aggregation for Evaluating Contestants. Keywords: voting, single-peaked preferences, optimal voting rules, voting in combinatorial domains, judgment aggregation, machine learning. Vincent Conitzer, Christian Kroer, Debmalya Panigrahi, Okke Schrijvers, Eric Sodomka, Nicolas E. Stier-Moses, and Chris Wilkens. Pacing Equilibrium in First-Price Auction Markets. Keywords: combinatorial auctions and exchanges, expressive markets, learning in markets, mechanism design, noncooperative game theory. 2018 Vincent Conitzer. Natural Intelligence Still Has Its Advantages. The Wall Street Journal , August 28, 2018. Local version without paywall , also available under the title arXiv:1812.02560 as "Can Artificial Intelligence Do Everything That We Can?" Keywords: overviews. Mathijs de Weerdt, Michael Albert, Vincent Conitzer, and Koos van der Linden. Complexity of Scheduling Charging in the Smart Grid . In Proceedings of the 27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence (IJCAI-ECAI-18) , Stockholm, Sweden, 2018. Keywords: scheduling. Vincent Conitzer. A Puzzle about Further Facts. Erkenntnis , 2018. Official version (open access, incl. HTML version). Also available as arXiv:1802.01161 and PhilSci 14739 . Keywords: philosophy, metaphysics, philosophy of mind, consciousness, epistemology. Max Kramer, Jana Schaich Borg, Vincent Conitzer, and Walter Sinnott-Armstrong. When Do People Want AI to Make Decisions? (submitted version) To appear in Proceedings of the First AAAI/ACM Conference on AI, Ethics, and Society (AIES-18) , New Orleans, LA, USA, 2018. Keywords: moral AI, kidney exchanges. Vincent Conitzer. Technical Perspective: Designing Algorithms and the Fairness Criteria They Should Satisfy. Communications of the ACM , Volume 61 Issue 2, February 2018, pp. 92. Keywords: fair decision making, overviews. Rupert Freeman*, Seyed Majid Zahedi*, Vincent Conitzer, and Benjamin Lee (* co-first authors). Dynamic Proportional Sharing: A Game-Theoretic Approach. To appear in Proceedings of the ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems , Irvine, CA, USA, 2018. Keywords: fair decision making, mechanism design. Rachel Freedman, Jana Schaich Borg, Walter Sinnott-Armstrong, John Dickerson, and Vincent Conitzer. Adapting a Kidney Exchange Algorithm to Align with Human Values. In Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18) , New Orleans, LA, USA, 2018. Outstanding Student Paper Honorable Mention. See coverage in Quartz . Keywords: moral AI, kidney exchanges, machine learning. Yuan Deng and Vincent Conitzer. Disarmament Games with Resources. In Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18) , New Orleans, LA, USA, 2018. Keywords: noncooperative game theory, commitment, Nash equilibrium. Vincent Conitzer, Christian Kroer, Eric Sodomka, and Nicolas E. Stier-Moses. Multiplicative Pacing Equilibria in Auction Markets. Fourteenth Conference on Web and Internet Economics (WINE-18) , Oxford, United Kingdom, 2018. arXiv:1706.07151. Keywords: combinatorial auctions and exchanges, expressive markets, learning in markets, mechanism design, noncooperative game theory. Vincent Conitzer and Rupert Freeman. Algorithmically Driven Shared Ownership Economies. To appear as a chapter in Future of Economic Design . Keywords: expressive markets, mechanism design, fair decision making. Suguru Ueda, Atsushi Iwasaki, Vincent Conitzer, Naoki Ohta, Yuko Sakurai, and Makoto Yokoo. Coalition structure generation in cooperative games with compact representations. Journal of Autonomous Agents and Multi-Agent Systems (JAAMAS) , 32(4): 503-533, 2018. Keywords: cooperative game theory. Vincent Conitzer. The Exact Computational Complexity of Evolutionarily Stable Strategies. Mathematics of Operations Research . Keywords: noncooperative game theory, Nash equilibrium, evolutionarily stable strategies. 2017 Vincent Conitzer, Jana Schaich Borg, and Walter Sinnott-Armstrong. Using Human Subjects' Judgments for Automated Moral Decision Making. Whitepaper for the Workshop on Trustworthy Algorithmic Decision-Making , Arlington, VA, USA, 2017. Keywords: moral AI, kidney exchanges, machine learning. Rupert Freeman, Seyed Majid Zahedi, and Vincent Conitzer. Fair Social Choice in Dynamic Settings. To appear in Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17) , Melbourne, Australia, 2017. Full version. Keywords: fair decision making. Vincent Conitzer, Rupert Freeman, and Nisarg Shah. Fair Public Decision Making. To appear in Proceedings of the 18th ACM Conference on Economics and Computation (EC-17) , Cambridge, MA, USA, 2017. Keywords: fair decision making. Vincent Conitzer. The AI debate must stay grounded in reality. Prospect (in association with the British Academy), March 6, 2017. See also coverage in ACM TechNews . Keywords: philosophy, philosophy of mind, consciousness, overviews. Michael Albert, Vincent Conitzer, and Peter Stone. Mechanism Design with Unknown Correlated Distributions: Can We Learn Optimal Mechanisms? In Proceedings of the Sixteenth International Joint Conference on Autonomous Agents and Multi Agent Systems (AAMAS-17) , pp. 69-77, Sao Paulo, Brazil, 2017. Keywords: mechanism design, automated mechanism design, Cremer-McLean. Vincent Conitzer, Walter Sinnott-Armstrong, Jana Schaich Borg, Yuan Deng, and Max Kramer. Moral Decision Making Frameworks for Artificial Intelligence. In Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17) Senior Member / Blue Sky Track , pp. 4831-4835, San Francisco, CA, USA, 2017. Received a CCC Blue Sky Award. Keywords: moral AI, noncooperative game theory, alternative solution concepts, machine learning. Yuan Deng and Vincent Conitzer. Disarmament Games. In Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17) , pp. 473-479, San Francisco, CA, USA, 2017. Full version. Keywords: noncooperative game theory, commitment, Nash equilibrium. Michael Albert, Vincent Conitzer, and Peter Stone. Automated Design of Robust Mechanisms. In Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence (AAAI-17) , pp. 298-304, San Francisco, CA, USA, 2017. Keywords: mechanism design, automated mechanism design, Cremer-McLean. Haris Aziz, Markus Brill, Vincent Conitzer, Edith Elkind, Rupert Freeman, and Toby Walsh. Justified Representation in Approval-Based Committee Voting. In Social Choice and Welfare , Volume 48, Issue 2, pp. 461-485, February 2017. Keywords: voting, voting in combinatorial domains, winner determination. Yuqian Li and Vincent Conitzer. Game-Theoretic Question Selection for Tests. Journal of Artificial Intelligence Research (JAIR) , Volume 59, pp. 437-462, 2017. Keywords: noncooperative game theory, commitment, Nash equilibrium, zero-sum games. Vincent Conitzer and Preston McAfee. Farewell Editorial: Looking Back on Our Terms Editing ACM TEAC and into the Future. ACM Transactions on Economics and Computation (TEAC) , Article 9e, Volume 5, Issue 2, March 2017. Keywords: overviews. Proceedings of the Twelfth Workshop on the Economics of Networks, Systems and Computation (NetEcon'17) . Co-edited with Roch Gurin. Keywords: edited volumes. 2016 Vincent Conitzer. Computing Equilibria with Partial Commitment. In Proceedings of the Twelfth Conference on Web and Internet Economics (WINE-16) , pp. 1-14, Montreal, Canada, 2016. Full version. Also available as arXiv:1610.04312 . Keywords: noncooperative game theory, commitment, Nash equilibrium, correlated strategies. Vincent Conitzer. Today's Artificial Intelligence Does Not Justify Basic Income. MIT Technology Review , October 31, 2016. Spanish version. Keywords: overviews. Andrew Kephart and Vincent Conitzer. The Revelation Principle for Mechanism Design with Reporting Costs. In Proceedings of the 17th ACM Conference on Economics and Computation (EC-16) , pp. 85-102, Maastricht, the Netherlands, 2016. Keywords: mechanism design, automated mechanism design, signaling, revelation principle. Vincent Conitzer. Artificial intelligence: where's the philosophical scrutiny? Prospect , May 4, 2016. An unedited version of the article titled Philosophy in the Face of Artificial Intelligence is also available as arXiv:1605.06048 . See also coverage in ACM TechNews (though see here for a correction of that announcement), AITopics , and Leiter Reports (philosophy) . Keywords: philosophy, philosophy of mind, consciousness, overviews. Felix Brandt, Vincent Conitzer, Ulle Endriss, Jrme Lang, and Ariel D. Procaccia (editors). Handbook of Computational Social Choice. Cambridge University Press, April 2016. The pdf is now freely available. Check out this review of the book (Mathematical Association of America) , this one (SIGACT News Book Review Column) , or this one (Oeconomia) . Keywords: voting, overviews. Felix Brandt, Vincent Conitzer, Ulle Endriss, Jrme Lang, and Ariel D. Procaccia. Introduction to Computational Social Choice. Chapter 1 in Handbook of Computational Social Choice , F. Brandt, V. Conitzer, U. Endriss, J. Lang, and A. Procaccia (eds.), Cambridge University Press, April 2016. Keywords: voting, overviews. Vincent Conitzer and Toby Walsh. Barriers to Manipulation in Voting. Chapter 6 in Handbook of Computational Social Choice , F. Brandt, V. Conitzer, U. Endriss, J. Lang, and A. Procaccia (eds.), Cambridge University Press, April 2016. Keywords: voting, hardness of manipulation, mechanism design, single-peaked preferences, overviews. Vincent Conitzer. On Stackelberg Mixed Strategies. Synthese (special issue on Logic and the Foundations of Decision and Game Theory), March 2016, Volume 193, Issue 3, pp. 689-703. Also available as arXiv:1705.07476 . Keywords: noncooperative game theory, commitment, philosophy. Catherine Moon and Vincent Conitzer. Role Assignment for Game-Theoretic Cooperation. In Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence (IJCAI-16) , pp. 416-423, New York City, NY, USA, 2016. Keywords: noncooperative game theory, Nash equilibrium, repeated games. Yuqian Li, Vincent Conitzer, and Dmytro Korzhyk. Catcher-Evader Games. In Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence (IJCAI-16) , pp. 329-337, New York City, NY, USA, 2016. Full version. Keywords: noncooperative game theory, security games, commitment, Nash equilibrium. Garrett Andersen and Vincent Conitzer. ATUCAPTS: Automated Tests That a User Cannot Pass Twice Simultaneously. In Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence (IJCAI-16) , pp. 3662-3669, New York City, NY, USA, 2016. Keywords: anonymity-proofness. Haifeng Xu, Rupert Freeman, Vincent Conitzer, Shaddin Dughmi, and Milind Tambe. Signaling in Bayesian Stackelberg Games. In Proceedings of the Fifteenth International Joint Conference on Autonomous Agents and Multi Agent Systems (AAMAS-16) , pp. 150-158, Singapore, 2016. Keywords: noncooperative game theory, commitment, security games, signaling, correlated strategies. Markus Brill, Vincent Conitzer, Rupert Freeman, and Nisarg Shah. False-Name-Proof Recommendations in Social Networks. In Proceedings of the Fifteenth International Joint Conference on Autonomous Agents and Multi Agent Systems (AAMAS-16) , pp. 332-340, Singapore, 2016. Full version. Keywords: voting, social networks, anonymity-proofness, mechanism design, single-peaked preferences, recommender systems, optimal voting rules. Vincent Conitzer, Rupert Freeman, Markus Brill, and Yuqian Li. Rules for Choosing Societal Tradeoffs . In Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16) , pp. 460-467, Phoenix, AZ, USA, 2016. Keywords: voting, single-peaked preferences, optimal voting rules, voting in combinatorial domains, judgment aggregation. Markus Brill, Rupert Freeman, and Vincent Conitzer. Computing Possible and Necessary Equilibrium Actions (and Bipartisan Set Winners) . In Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16) , pp. 369-375, Phoenix, AZ, USA, 2016. An earlier working version had the title "Computing the Optimal Game." Keywords: noncooperative game theory, zero-sum games, Nash equilibrium, commitment, mechanism design, automated mechanism design, voting. Michael Albert, Vincent Conitzer, and Giuseppe Lopomo. Maximizing Revenue with Limited Correlation: The Cost of Ex-Post Incentive Compatibility . In Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16) , pp. 383-389, Phoenix, AZ, USA, 2016. Keywords: mechanism design, automated mechanism design, Cremer-McLean. Sune Kristian Jakobsen, Troels Bjerre Srensen, and Vincent Conitzer. Timeability of Extensive-Form Games. In Proceedings of the Seventh Innovations in Theoretical Computer Science Conference (ITCS-16) , pp. 191-199, Cambridge, MA, USA, 2016. Keywords: noncooperative game theory, extensive-form games. Proceedings of the Seventeenth ACM Conference on Economics and Computation (EC'16) . Co-edited with Dirk Bergemann and Yiling Chen. Keywords: edited volumes. ACM Transactions on Economics and Computation (TEAC), Volume 5, Issue 1, November 2016 . Co-edited with Preston McAfee. Keywords: edited volumes. ACM Transactions on Economics and Computation (TEAC) - Special Issue on EC'14, Volume 4, Issue 4, August 2016 . Co-edited with Preston McAfee. Guest editors for this issue: Vincent Conitzer and David Easley. Keywords: edited volumes. ACM Transactions on Economics and Computation (TEAC) - Special Issue on EC'13, Volume 4, Issue 3, June 2016 . Co-edited with Preston McAfee. Guest editors for this issue: Preston McAfee and va Tardos. Keywords: edited volumes. ACM Transactions on Economics and Computation (TEAC), Volume 4, Issue 2, February 2016 . Co-edited with Preston McAfee. Keywords: edited volumes. 2015 Vincent Conitzer. Can rational choice guide us to correct de se beliefs? Synthese , December 2015, Volume 192, Issue 12, pp. 4107-4119. Also available as arXiv:1705.06332 . Keywords: philosophy, Sleeping Beauty, causal and evidential decision theory, Dutch books. Catherine Moon and Vincent Conitzer. Maximal Cooperation in Repeated Games on Social Networks. In Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence (IJCAI-15) , pp. 216-223, Buenos Aires, Argentina, 2015. Keywords: noncooperative game theory, Nash equilibrium, repeated games, social networks. Vincent Conitzer, Markus Brill, and Rupert Freeman. Crowdsourcing Societal Tradeoffs. In Proceedings of the Fourteenth International Joint Conference on Autonomous Agents and Multi Agent Systems (AAMAS-15) Blue Sky Ideas track , pp. 1213-1217, Istanbul, Turkey, 2015. Keywords: voting, single-peaked preferences, optimal voting rules, voting in combinatorial domains, judgment aggregation, expressive markets, public goods, mechanism design, preference elicitation, anonymity-proofness, prediction markets, social networks. Andrew Kephart and Vincent Conitzer. Complexity of Mechanism Design with Signaling Costs. In Proceedings of the Fourteenth International Joint Conference on Autonomous Agents and Multi Agent Systems (AAMAS-15) , pp. 357-365, Istanbul, Turkey, 2015. Keywords: mechanism design, automated mechanism design, signaling. Rupert Freeman, Markus Brill, and Vincent Conitzer. General Tiebreaking Schemes for Computational Social Choice. In Proceedings of the Fourteenth International Joint Conference on Autonomous Agents and Multi Agent Systems (AAMAS-15) , pp. 1401-1409, Istanbul, Turkey, 2015. Keywords: voting, tiebreaking. Markus Brill and Vincent Conitzer. Strategic Voting and Strategic Candidacy. In Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI-15) , pp. 819-826, Austin, TX, USA, 2015. Keywords: voting, single-peaked preferences, noncooperative game theory, Nash equilibrium. Michael Albert, Vincent Conitzer, and Giuseppe Lopomo. Assessing the Robustness of Cremer-McLean with Automated Mechanism Design. In Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI-15) , pp. 763-769, Austin, TX, USA, 2015. Keywords: mechanism design, automated mechanism design, Cremer-McLean. Yuqian Li and Vincent Conitzer. Cooperative Game Solution Concepts that Maximize Stability under Noise. In Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI-15) , pp. 979-985, Austin, TX, USA, 2015. Keywords: cooperative game theory, core, nucleolus. Haris Aziz, Markus Brill, Vincent Conitzer, Edith Elkind, Rupert Freeman, and Toby Walsh. Justified Representation in Approval-Based Committee Voting. In Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI-15) , pp. 784-790, Austin, TX, USA, 2015. See journal version above . Keywords: voting, voting in combinatorial domains, winner determination. Vincent Conitzer. A Dutch Book against Sleeping Beauties Who Are Evidential Decision Theorists. Synthese , Volume 192, Issue 9, pp. 2887-2899, October 2015. Also available as arXiv:1705.03560 . Keywords: philosophy, Sleeping Beauty, causal and evidential decision theory, Dutch books. Vincent Conitzer. A Devastating Example for the Halfer Rule. Philosophical Studies , Volume 172, Issue 8, pp, 1985-1992, August 2015. Also available as arXiv:1610.05733 . Keywords: philosophy, Sleeping Beauty. ACM Transactions on Economics and Computation (TEAC), Volume 4, Issue 1, December 2015 . Co-edited with Preston McAfee. Keywords: edited volumes. ACM Transactions on Economics and Computation (TEAC), Volume 3, Issue 4, July 2015 . Co-edited with Preston McAfee. Contains special section on WINE'13 guest-edited by Yiling Chen and Nicole Immorlica. Keywords: edited volumes. ACM Transactions on Economics and Computation (TEAC), Volume 3, Issue 3, June 2015 . Co-edited with Preston McAfee. Keywords: edited volumes. ACM Transactions on Economics and Computation (TEAC) - Special Issue on EC'12, Part 2; Volume 3, Issue 2, April 2015 . Co-edited with Preston McAfee. Guest editors for this issue: Kevin Leyton-Brown and Panos Ipeirotis. Keywords: edited volumes. ACM Transactions on Economics and Computation (TEAC) - Special Issue on EC'12, Part 1; Volume 3, Issue 1, March 2015 . Co-edited with Preston McAfee. Guest editors for this issue: Kevin Leyton-Brown and Panos Ipeirotis. Keywords: edited volumes. 2014 Vincent Conitzer. Should Stackelberg Mixed Strategies Be Considered a Separate Solution Concept? Presented at the Eleventh Conference on Logic and the Foundations of Game and Decision Theory (LOFT-14) , Bergen, Norway, 2014. See journal version above . Keywords: noncooperative game theory, commitment. Vincent Conitzer. Computational Social Choice: A Journey from Basic Complexity Results to a Brave New World for Social Choice. Abstract for 2014 Social Choice and Welfare Prize talk at the 12th meeting of the Society for Social Choice and Welfare , Boston, MA, USA, 2014. Keywords: voting, voting in combinatorial domains, winner determination, hardness of manipulation, hardness of control, communication complexity, optimal voting rules, anonymity-proofness, social networks, overviews. Rupert Freeman, Markus Brill, and Vincent Conitzer. On the Axiomatic Characterization of Runoff Voting Rules. In Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence (AAAI-14) , pp. 675-681, Quebec City, Canada, 2014. Keywords: voting. Troels Bjerre Srensen, Melissa Dalis, Joshua Letchford, Dmytro Korzhyk, and Vincent Conitzer. Beat the Cheater: Computing Game-Theoretic Strategies for When to Kick a Gambler out of a Casino. In Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence (AAAI-14) , pp. 798-804, Quebec City, Canada, 2014. Keywords: noncooperative game theory, commitment, security games. Vincent Conitzer and Angelina Vidali. Mechanism Design for Scheduling with Uncertain Execution Time. In Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence (AAAI-14) , pp. 623-629, Quebec City, Canada, 2014. Keywords: expressive markets, mechanism design. Haifeng Xu, Fei Fang, Albert Jiang, Vincent Conitzer, Shaddin Dughmi, and Milind Tambe. Solving Zero-Sum Security Games in Discretized Spatio-Temporal Domains. In Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence (AAAI-14) , pp. 1500-1506, Quebec City, Canada, 2014. Appendix. Keywords: noncooperative game theory, security games, zero-sum games. Yuqian Li and Vincent Conitzer. Complexity of Stability-based Solution Concepts in Multi-issue and MC-net Cooperative Games. In Proceedings of the Thirteenth International Joint Conference on Autonomous Agents and Multi Agent Systems (AAMAS-14) , pp. 581-588, Paris, France, 2014. Keywords: cooperative game theory, core, nucleolus. Joshua Letchford, Dmytro Korzhyk, and Vincent Conitzer. On the Value of Commitment. Journal of Autonomous Agents and Multi-Agent Systems (JAAMAS) , Volume 28, Issue 6, pp. 986-1016, November 2014. Keywords: noncooperative game theory, commitment. Mingyu Guo and Vincent Conitzer. Better Redistribution with Inefficient Allocation in Multi-Unit Auctions. Artificial Intelligence (AIJ) , Volume 216, pp. 287-308, November 2014. Keywords: mechanism design, automated mechanism design, VCG mechanism, revenue redistribution, combinatorial auctions and exchanges. Mathijs M. de Weerdt, B. Paul Harrenstein, and Vincent Conitzer. Strategy-Proof Contract Auctions and the Role of Ties. Games and Economic Behavior , Special Issue on EC'08/'09, Volume 86, July 2014, pp. 405-420. Keywords: combinatorial auctions and exchanges, expressive markets, mechanism design. Liad Wagman and Vincent Conitzer. False-Name-Proof Voting with Costs over Two Alternatives. International Journal of Game Theory (IJGT) , Volume 43, Issue 3, pp. 599-618, August 2014. Keywords: anonymity-proofness, voting, mechanism design. Vincent Conitzer and David Easley. Notes from the EC'14 Program Chairs. SIGecom Exchanges , Vol. 13, No. 1, June 2014, pp. 2-4. Keywords: overviews. Proceedings of the Fifteenth ACM Conference on Economics and Computation (EC'14) . Co-edited with Moshe Babaioff and David Easley. Keywords: edited volumes. ACM Transactions on Economics and Computation (TEAC), Volume 2, Issue 4, October 2014 . Co-edited with Preston McAfee. Keywords: edited volumes. ACM Transactions on Economics and Computation (TEAC), Volume 2, Issue 3, July 2014 . Co-edited with Preston McAfee. Keywords: edited volumes. ACM Transactions on Economics and Computation (TEAC), Volume 2, Issue 2, June 2014 . Co-edited with Preston McAfee. Keywords: edited volumes. ACM Transactions on Economics and Computation (TEAC), Volume 2, Issue 1, March 2014 . Co-edited with Preston McAfee. Keywords: edited volumes. 2013 Vincent Conitzer. The Maximum Likelihood Approach to Voting on Social Networks. In Proceedings of the 51st Annual Allerton Conference on Communication, Control, and Computing (Allerton-13) , pp. 1482-1487, Allerton Retreat Center, Monticello, IL, USA, 2013. Keywords: voting, optimal voting rules, social networks. Vincent Conitzer. The Exact Computational Complexity of Evolutionarily Stable Strategies. In Proceedings of the Ninth Conference on Web and Internet Economics (WINE-13) , pp. 96-108, Cambridge, MA, USA, 2013. See journal version above . Keywords: noncooperative game theory, Nash equilibrium, evolutionarily stable strategies. Yuqian Li and Vincent Conitzer. Game-Theoretic Question Selection for Tests. In Proceedings of the Twenty-Third International Joint Conference on Artificial Intelligence (IJCAI-13) , pp. 254-262, Beijing, China, 2013. See journal version above . Keywords: noncooperative game theory, commitment, Nash equilibrium, zero-sum games. Garrett Andersen and Vincent Conitzer. Fast Equilibrium Computation for Infinitely Repeated Games. In Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence (AAAI-13) , pp. 53-59, Bellevue, WA, USA, 2013. Keywords: noncooperative game theory, repeated games, Nash equilibrium. Joshua Letchford and Vincent Conitzer. Solving Security Games on Graphs via Marginal Probabilities. In Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence (AAAI-13) , pp. 591-597, Bellevue, WA, USA, 2013. Keywords: noncooperative game theory, security games, commitment. Yuqian Li and Vincent Conitzer. Optimal Internet Auctions with Costly Communication. In Proceedings of the Twelfth International Joint Conference on Autonomous Agents and Multi Agent Systems (AAMAS-13) , pp. 683-690, St. Paul, MN, USA, 2013. Full version. Keywords: mechanism design, preference elicitation. Taiki Todo and Vincent Conitzer. False-name-proof Matching. In Proceedings of the Twelfth International Joint Conference on Autonomous Agents and Multi Agent Systems (AAMAS-13) , pp. 311-318, St. Paul, MN, USA, 2013. Keywords: anonymity-proofness, mechanism design, matching. Manish Jain, Vincent Conitzer, and Milind Tambe. Security Scheduling for Real-world Networks. In Proceedings of the Twelfth International Joint Conference on Autonomous Agents and Multi Agent Systems (AAMAS-13) , pp. 215-222, St. Paul, MN, USA, 2013. Keywords: noncooperative game theory, security games, zero-sum games. Mingyu Guo, Evangelos Markakis, Krzysztof R. Apt, and Vincent Conitzer. Undominated Groves Mechanisms. Journal of Artificial Intelligence Research (JAIR) , Volume 46, 2013, pp. 129-163. Keywords: mechanism design, automated mechanism design, VCG mechanism, revenue redistribution, combinatorial auctions and exchanges. Felix Brandt, Vincent Conitzer, and Ulle Endriss. Computational Social Choice. Chapter in G.~Weiss (Ed.), Multiagent Systems , pp. 213-283, MIT Press, March 2013. Keywords: voting, voting in combinatorial domains, winner determination, hardness of manipulation, hardness of control, preference elicitation, communication complexity, compilation complexity, optimal voting rules, mechanism design, single-peaked preferences, anonymity-proofness, overviews. ACM Transactions on Economics and Computation (TEAC), Volume 1, Issue 4, December 2013 . Co-edited with Preston McAfee. Keywords: edited volumes. ACM Transactions on Economics and Computation (TEAC), Volume 1, Issue 3, September 2013 . Co-edited with Preston McAfee. Keywords: edited volumes. ACM Transactions on Economics and Computation (TEAC) - Special Issue on Algorithmic Game Theory, Volume 1, Issue 2, May 2013 . Co-edited with Preston McAfee. Guest editors for this issue: Michal Feldman and Noam Nisan. Keywords: edited volumes. ACM Transactions on Economics and Computation (TEAC), Volume 1, Issue 1, January 2013 . Co-edited with Preston McAfee. Co-contributed The ACM Transactions on Economics and Computation: An Introduction . Keywords: edited volumes. 2012 Joshua Letchford, Liam MacDermed, Vincent Conitzer, Ronald Parr, and Charles Isbell. Computing Stackelberg Strategies in Stochastic Games. SIGecom Exchanges , Vol. 11, No. 2, December 2012, pp. 36-40. Keywords: noncooperative game theory, commitment, stochastic games, correlated strategies. Sayan Bhattacharya, Dmytro Korzhyk, and Vincent Conitzer. Computing a Profit-Maximizing Sequence of Offers to Agents in a Social Network. Short (7-page) paper in Proceedings of the Eighth Workshop on Internet and Network Economics (WINE-12) , pp. 482-488, Liverpool, UK, 2012. Keywords: social networks, externalities. Vincent Conitzer. Computing Game-Theoretic Solutions and Applications to Security. In Proceedings of the 26th National Conference on Artificial Intelligence (AAAI-12) , pp. 2106-2112, Toronto, ON, Canada, 2012. (Invited as a "What's Hot" paper to the AAAI-12 Sub-Area Spotlights track. The material is also closely to related to my IJCAI Computers and Thought Award lecture at IJCAI 2011.) Keywords: noncooperative game theory, commitment, dominance and iterated dominance, extensive-form games, Nash equilibrium, security games, stochastic games, zero-sum games, overviews. Bo Waggoner, Lirong Xia, and Vincent Conitzer. Evaluating Resistance to False-Name Manipulations in Elections. In Proceedings of the 26th National Conference on Artificial Intelligence (AAAI-12) , pp. 1485-1491, Toronto, ON, Canada, 2012. Keywords: anonymity-proofness, voting. Joshua Letchford, Liam MacDermed, Vincent Conitzer, Ronald Parr, and Charles Isbell. Computing Optimal Strategies to Commit to in Stochastic Games. In Proceedings of the 26th National Conference on Artificial Intelligence (AAAI-12) , pp. 1380-1386, Toronto, ON, Canada, 2012. Keywords: noncooperative game theory, commitment, stochastic games, correlated strategies. Vincent Conitzer. An Undergraduate Course in the Intersection of Computer Science and Economics. In Proceedings of the Third AAAI Symposium on Educational Advances in Artificial Intelligence (EAAI-12) , pp. 2357-2362, Toronto, ON, Canada, 2012. Keywords: education. Vincent Conitzer and Lirong Xia. Paradoxes of Multiple Elections: An Approximation Approach. In Proceedings of the 13th International Conference on Principles of Knowledge Representation and Reasoning (KR-12) , pp. 179-187, Rome, Italy, 2012. Keywords: voting, voting in combinatorial domains. Vincent Conitzer, Curtis Taylor, and Liad Wagman. Hide and Seek: Costly Consumer Privacy in a Market with Repeat Purchases. Marketing Science , Volume 31, Number 2, 2012, pp. 277-292. Keywords: anonymity, price discrimination. Vincent Conitzer. Should Social Network Structure Be Taken into Account in Elections? Short communication in Mathematical Social Sciences (MSS) , Special Issue on Computational Foundations of Social Choice, Volume 64, Issue 1, 2012, pp. 100-102. Keywords: voting, optimal voting rules, social networks. Liad Wagman and Vincent Conitzer. Choosing Fair Lotteries to Defeat the Competition. International Journal of Game Theory (IJGT) , Volume 41, Issue 1, 2012, pp. 91-129. Keywords: noncooperative game theory, Nash equilibrium. Vincent Conitzer and Tuomas Sandholm. Computing Optimal Outcomes under an Expressive Representation of Settings with Externalities. Journal of Computer and System Sciences (JCSS) , Special Issue devoted to Knowledge Representation and Reasoning, Volume 78, Issue 1, 2012, pp. 2-14. Keywords: expressive markets, public goods, externalities, winner determination. Proceedings of the Eleventh International Conference on Autonomous Agents and Multi Agent Systems (AAMAS 2012). Co-edited with Michael Winikoff, Wiebe van der Hoek, and Lin Padgham. Keywords: edited volumes. 2011 Sayan Bhattacharya, Vincent Conitzer, and Kamesh Munagala. Approximation Algorithm for Security Games with Costly Resources. In Proceedings of the Seventh Workshop on Internet and Network Economics (WINE-11) , pp. 13-24, Singapore, 2011. Keywords: noncooperative game theory, security games, commitment. Mingyu Guo, Victor Naroditskiy, Vincent Conitzer, Amy Greenwald, and Nicholas R. Jennings. Budget-Balanced and Nearly Efficient Randomized Mechanisms: Public Goods and Beyond. In Proceedings of the Seventh Workshop on Internet and Network Economics (WINE-11) , pp. 158-169, Singapore, 2011. Keywords: mechanism design, automated mechanism design, VCG mechanism, revenue redistribution. Michael Zuckerman, Piotr Faliszewski, Vincent Conitzer, and Jeffrey S. Rosenschein. An NTU Cooperative Game Theoretic View of Manipulating Elections. In Proceedings of the Seventh Workshop on Internet and Network Economics (WINE-11) , pp. 363-374, Singapore, 2011. Keywords: cooperative game theory, core, voting, hardness of manipulation. Vincent Conitzer and Dmytro Korzhyk. Commitment to Correlated Strategies . In Proceedings of the 25th National Conference on Artificial Intelligence (AAAI-11) , pp. 632-637, San Francisco, CA, USA, 2011. Keywords: noncooperative game theory, commitment, signaling, correlated strategies. Vincent Conitzer, Toby Walsh, and Lirong Xia. Dominating Manipulations in Voting with Partial Information . In Proceedings of the 25th National Conference on Artificial Intelligence (AAAI-11) , pp. 638-643, San Francisco, CA, USA, 2011. Keywords: voting, hardness of manipulation. Dmytro Korzhyk, Zhengyu Yin, Christopher Kiekintveld, Vincent Conitzer, and Milind Tambe. Stackelberg vs. Nash in Security Games: An Extended Investigation of Interchangeability, Equivalence, and Uniqueness. Journal of Artificial Intelligence Research (JAIR) , Volume 41, 2011, pp. 297-327. Keywords: noncooperative game theory, security games, commitment, Nash equilibrium. Dmytro Korzhyk, Vincent Conitzer, and Ronald Parr. Security Games with Multiple Attacker Resources. In Proceedings of the 22nd International Joint Conference on Artificial Intelligence (IJCAI-11) , pp. 273-279, Barcelona, Catalonia, Spain, 2011. Keywords: noncooperative game theory, security games, commitment, Nash equilibrium. Lirong Xia and Vincent Conitzer. A Maximum Likelihood Approach towards Aggregating Partial Orders. In Proceedings of the 22nd International Joint Conference on Artificial Intelligence (IJCAI-11) , pp. 446-451, Barcelona, Catalonia, Spain, 2011. Keywords: voting, optimal voting rules. Vincent Conitzer, Jrme Lang, and Lirong Xia. Hypercubewise Preference Aggregation in Multi-issue Domains. In Proceedings of the 22nd International Joint Conference on Artificial Intelligence (IJCAI-11) , pp. 158-163, Barcelona, Catalonia, Spain, 2011. Keywords: voting, voting in combinatorial domains. Lirong Xia, Vincent Conitzer, and Jrme Lang. Strategic Sequential Voting in Multi-Issue Domains and Multiple-Election Paradoxes. In Proceedings of the Twelfth ACM Conference on Electronic Commerce (EC-11) , pp. 179-188, San Jose, CA, USA, 2010. Keywords: voting, voting in combinatorial domains, noncooperative game theory. Dmytro Korzhyk, Vincent Conitzer, and Ronald Parr. Solving Stackelberg Games with Uncertain Observability. In Proceedings of the Tenth International Joint Conference on Autonomous Agents and Multi Agent Systems (AAMAS-11) , pp. 1013-1020, Taipei, Taiwan, 2011. Keywords: noncooperative game theory, security games, commitment, Nash equilibrium. Manish Jain, Dmytro Korzhyk, Ondrej Vanek, Vincent Conitzer, Michal Pechoucek, and Milind Tambe. A Double Oracle Algorithm for Zero-Sum Security Games on Graphs. In Proceedings of the Tenth International Joint Conference on Autonomous Agents and Multi Agent Systems (AAMAS-11) , pp. 327-334, Taipei, Taiwan, 2011. Keywords: noncooperative game theory, security games, zero-sum games. Lirong Xia and Vincent Conitzer. Determining Possible and Necessary Winners under Common Voting Rules Given Partial Orders. Journal of Artificial Intelligence Research (JAIR) , Volume 41, 2011, pp. 25-67. Keywords: voting, winner determination, preference elicitation, hardness of manipulation. Vincent Conitzer and Tuomas Sandholm. Expressive Markets for Donating to Charities. Artificial Intelligence (AIJ) , Special Issue on Representing, Processing, and Learning Preferences: Theoretical and Practical Challenges, Volume 175, Issues 7-8, May 2011, pp. 1251-1271. Keywords: expressive markets, public goods, externalities, winner determination. Joseph Farfel and Vincent Conitzer. Aggregating Value Ranges: Preference Elicitation and Truthfulness. Journal of Autonomous Agents and Multi-Agent Systems (JAAMAS) , Special Issue on Computational Social Choice, Volume 22, Number 1, January 2011, pp. 127-150. Keywords: voting, preference elicitation, single-peaked preferences, mechanism design. Vincent Conitzer. Discussion of "A conditional game for comparing approximations." Discussion paper in Proceedings of the 14th International Conference on Artificial Intelligence and Statistics (AISTATS-11) , Ft. Lauderdale, FL, USA, 2011. Keywords: discussion papers. Vincent Conitzer. Metareasoning as a Formal Computational Problem. Appears as Chapter 8 in Metareasoning: Thinking about Thinking , Michael Cox and Anita Raja (editors), MIT Press, 2011. Keywords: resource-bounded reasoning. SIGecom Exchanges Volume 10.1. Co-edited with Yiling Chen. Co-contributed Introduction . Keywords: edited volumes. 2010 Vincent Conitzer, Nicole Immorlica, Joshua Letchford, Kamesh Munagala, and Liad Wagman. False-Name-Proofness in Social Networks. In Proceedings of the Sixth Workshop on Internet and Network Economics (WINE-10) , pp. 209-221, Stanford, CA, 2010. Keywords: anonymity-proofness, mechanism design, social networks, voting. Lirong Xia and Vincent Conitzer. Strategy-proof Voting Rules over Multi-issue Domains with Restricted Preferences. In Proceedings of the Sixth Workshop on Internet and Network Economics (WINE-10) , pp. 402-414, Stanford, CA, 2010. Keywords: mechanism design, voting, voting in combinatorial domains. Vincent Conitzer and Makoto Yokoo. Using Mechanism Design to Prevent False-Name Manipulations. AI Magazine , Special Issue on Algorithmic Game Theory, Volume 31, Issue 4, December 2010, pp. 65-77. Keywords: anonymity-proofness, voting, combinatorial auctions and exchanges, mechanism design. Mingyu Guo and Vincent Conitzer. Computationally Feasible Automated Mechanism Design: General Approach and Case Studies. In Proceedings of the 24th National Conference on Artificial Intelligence (AAAI-10) -- NECTAR track , pp. 1676-1679, Atlanta, GA, USA, 2010. Keywords: mechanism design, automated mechanism design, VCG mechanism, revenue redistribution, combinatorial auctions and exchanges. Dmytro Korzhyk, Vincent Conitzer, and Ronald Parr. Complexity of Computing Optimal Stackelberg Strategies in Security Resource Allocation Games. In Proceedings of the 24th National Conference on Artificial Intelligence (AAAI-10) , pp. 805-810, Atlanta, GA, USA, 2010. Keywords: noncooperative game theory, security games, commitment. Lirong Xia and Vincent Conitzer. Stackelberg Voting Games: Computational Aspects and Paradoxes. In Proceedings of the 24th National Conference on Artificial Intelligence (AAAI-10) , pp. 921-926, Atlanta, GA, USA, 2010. Keywords: voting, noncooperative game theory, commitment. Lirong Xia and Vincent Conitzer. Compilation Complexity of Common Voting Rules. In Proceedings of the 24th National Conference on Artificial Intelligence (AAAI-10) , pp. 915-920, Atlanta, GA, USA, 2010. Keywords: voting, compilation complexity. Joshua Letchford and Vincent Conitzer. Computing Optimal Strategies to Commit to in Extensive-Form Games. In Proceedings of the Eleventh ACM Conference on Electronic Commerce (EC-10) , pp. 83-92, Cambridge, MA, USA, 2010. Keywords: noncooperative game theory, extensive-form games, commitment. Lirong Xia, Vincent Conitzer, and Ariel D. Procaccia. A Scheduling Approach to Coalitional Manipulation. In Proceedings of the Eleventh ACM Conference on Electronic Commerce (EC-10) , pp. 275-284, Cambridge, MA, USA, 2010. Keywords: voting, hardness of manipulation. Mingyu Guo and Vincent Conitzer. Optimal-in-Expectation Redistribution Mechanisms. Artificial Intelligence , Volume 174, Issues 5-6, April 2010, pp. 363-381. Keywords: mechanism design, automated mechanism design, VCG mechanism, revenue redistribution, combinatorial auctions and exchanges. Mingyu Guo and Vincent Conitzer. Strategy-proof Allocation of Multiple Items between Two Agents without Payments or Priors. In Proceedings of the Ninth International Joint Conference on Autonomous Agents and Multi Agent Systems (AAMAS-10) , pp. 881-888, Toronto, ON, Canada, 2010. Keywords: mechanism design, automated mechanism design. Atsushi Iwasaki, Vincent Conitzer, Yoshifusa Omori, Yuko Sakurai, Taiki Todo, Mingyu Guo, and Makoto Yokoo. Worst-case efficiency ratio in false-name-proof combinatorial auction mechanisms. In Proceedings of the Ninth International Joint Conference on Autonomous Agents and Multi Agent Systems (AAMAS-10) , pp. 633-640, Toronto, ON, Canada, 2010. Keywords: anonymity-proofness, combinatorial auctions and exchanges, mechanism design. Lirong Xia, Vincent Conitzer, and Jrme Lang. Aggregating Preferences in Multi-Issue Domains by Using Maximum Likelihood Estimators. In Proceedings of the Ninth International Joint Conference on Autonomous Agents and Multi Agent Systems (AAMAS-10) , pp. 399-406, Toronto, ON, Canada, 2010. Keywords: voting, voting in combinatorial domains, optimal voting rules. Zhengyu Yin, Dmytro Korzhyk, Christopher Kiekintveld, Vincent Conitzer, and Milind Tambe. Stackelberg vs. Nash in Security Games: Interchangeability, Equivalence, and Uniqueness. In Proceedings of the Ninth International Joint Conference on Autonomous Agents and Multi Agent Systems (AAMAS-10) , pp. 1139-1146, Toronto, ON, Canada, 2010. See journal version above . Keywords: noncooperative game theory, security games, commitment, Nash equilibrium. Mingyu Guo and Vincent Conitzer. False-Name-Proofness with Bid Withdrawal. arXiv:1208.6501; a two-page version appeared as a short paper in Proceedings of the Ninth International Joint Conference on Autonomous Agents and Multi Agent Systems (AAMAS-10) , pp. 1475-1476, Toronto, ON, Canada, 2010. Keywords: anonymity-proofness, combinatorial auctions and exchanges, mechanism design, automated mechanism design. Vincent Conitzer. Comparing Multiagent Systems Research in Combinatorial Auctions and Voting. Annals of Mathematics and Artificial Intelligence (AMAI) , Volume 58, Issue 3, 2010, pp. 239-259. Keywords: combinatorial auctions and exchanges, voting, overviews. Vincent Conitzer. Making Decisions Based on the Preferences of Multiple Agents. Communications of the ACM (CACM) , Volume 53, Number 3, March 2010, pp. 84-94. Keywords: voting, combinatorial auctions and exchanges, expressive markets, prediction markets, mechanism design, overviews. Sayan Bhattacharya, Vincent Conitzer, Kamesh Munagala, and Lirong Xia. Incentive Compatible Budget Elicitation in Multi-unit Auctions. In the Proceedings of the Twenty-First Annual ACM-SIAM Symposium on Discrete Algorithms (SODA-10) , pp. 554-572, Austin, TX, USA, 2010. Keywords: combinatorial auctions and exchanges, mechanism design. Vincent Conitzer. Auction Protocols. Appears as Chapter 16 in the CRC Algorithms and Theory of Computation Handbook, Second Edition, Volume 2: Special Topics and Techniques , Mikhail Atallah and Marina Blanton (editors), 2010. Keywords: combinatorial auctions and exchanges, overviews. Proceedings of the Third International Workshop on Computational Social Choice (COMSOC 2010). Co-edited with Jrg Rothe. Keywords: edited volumes. SIGecom Exchanges Volume 9.1. Contributed Introduction and Editor's Puzzle: Borrowing as Cheaply as Possible . Keywords: edited volumes. 2009 Peng Shi, Vincent Conitzer, and Mingyu Guo. Prediction Mechanisms That Do Not Incentivize Undesirable Actions. In Proceedings of the Fifth Workshop on Internet and Network Economics (WINE-09) , pp. 89-100, Rome, Italy, 2009. Keywords: prediction markets. Mingyu Guo, Vincent Conitzer, and Daniel Reeves. Competitive Repeated Allocation Without Payments. In Proceedings of the Fifth Workshop on Internet and Network Economics (WINE-09) , pp. 244-255, Rome, Italy, 2009. Keywords: mechanism design, automated mechanism design. Joshua Letchford, Vincent Conitzer, and Kamesh Munagala. Learning and Approximating the Optimal Strategy to Commit To. In the Second International Symposium on Algorithmic Game Theory (SAGT-09) , pp. 250-262, Paphos, Cyprus, 2009. Full version with appendices. Keywords: noncooperative game theory, commitment, machine learning, learning in games. Vincent Conitzer. Approximation Guarantees for Fictitious Play. In the Proceedings of the 47th Annual Allerton Conference on Communication, Control, and Computing (Allerton-09) , pp. 636-643, Allerton Retreat Center, Monticello, IL, USA, 2009. Keywords: noncooperative game theory, machine learning, learning in games, Nash equilibrium. Naoki Ohta, Vincent Conitzer, Ryo Ichimura, Yuko Sakurai, Atsushi Iwasaki, and Makoto Yokoo. Coalition Structure Generation Utilizing Compact Characteristic Function Representations. In the Fifteenth International Conference on Principles and Practice of Constraint Programming (CP-09) , pp. 623-638, Lisbon, Portugal, 2009. Also see journal version above . Keywords: cooperative game theory. Vincent Conitzer. Prediction Markets, Mechanism Design, and Cooperative Game Theory. In Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence (UAI-09) , pp. 101-108, Montreal, Canada, 2009. Keywords: prediction markets, mechanism design, cooperative game theory. B. Paul Harrenstein, Mathijs M. de Weerdt, and Vincent Conitzer. A Qualitative Vickrey Auction. In Proceedings of the Tenth ACM Conference on Electronic Commerce (EC-09) , pp. 197-206, Stanford, CA, USA, 2009. See a (very much rewritten) journal version above . Keywords: combinatorial auctions and exchanges, expressive markets, mechanism design. Vincent Conitzer, Matthew Rognlie, and Lirong Xia. Preference Functions That Score Rankings and Maximum Likelihood Estimation. In the Twenty-First International Joint Conference on Artificial Intelligence (IJCAI-09) , pp. 109-115, Pasadena, CA, USA, 2009. Keywords: voting, optimal voting rules. Vincent Conitzer, Jrme Lang, and Lirong Xia. How hard is it to control sequential elections via the agenda? In the Twenty-First International Joint Conference on Artificial Intelligence (IJCAI-09) , pp. 103-108, Pasadena, CA, USA, 2009. Keywords: voting, voting in combinatorial domains, hardness of control. Erik Halvorson, Vincent Conitzer, and Ronald Parr. Multi-step Multi-sensor Hider-Seeker Games. In the Twenty-First International Joint Conference on Artificial Intelligence (IJCAI-09) , pp. 159-166, Pasadena, CA, USA, 2009. Keywords: noncooperative game theory, zero-sum games. Lirong Xia and Vincent Conitzer. Finite Local Consistency Characterizes Generalized Scoring Rules. In the Twenty-First International Joint Conference on Artificial Intelligence (IJCAI-09) , pp. 336-341, Pasadena, CA, USA, 2009. Keywords: voting. Lirong Xia, Michael Zuckerman, Ariel D. Procaccia, Vincent Conitzer, and Jeffrey Rosenschein. Complexity of Unweighted Coalitional Manipulation Under Some Common Voting Rules. In the Twenty-First International Joint Conference on Artificial Intelligence (IJCAI-09) , pp. 348-353, Pasadena, CA, USA, 2009. Keywords: voting, hardness of manipulation. Joseph Farfel and Vincent Conitzer. Turing Trade: A hybrid of a Turing test and a prediction market. In Proceedings of The First Conference on Auctions, Market Mechanisms, and Their Applications (AMMA-09) , pp. 61-73, Boston, MA, USA, 2009. A demo version at AAMAS 2009 appears as A Multiagent Turing Test Based on a Prediction Market (Extended Abstract) , pp. 1407-1408. Keywords: prediction markets, Turing tests, games with a purpose. Vincent Conitzer. Eliciting Single-Peaked Preferences Using Comparison Queries. Journal of Artificial Intelligence Research (JAIR) , Volume 35, 2009, pp. 161-191. Earlier version appeared in Proceedings of the 6th International Joint Conference on Autonomous Agents and Multi Agent Systems (AAMAS-07) , pp. 408-415, Honolulu, HI, USA, 2007. Keywords: voting, preference elicitation, single-peaked preferences. Mingyu Guo and Vincent Conitzer. Worst-Case Optimal Redistribution of VCG Payments in Multi-Unit Auctions. Games and Economic Behavior , Special Section Dedicated to the 8th ACM Conference on Electronic Commerce, Volume 67, Issue 1, 2009, pp. 69-98. Earlier version appeared in Proceedings of the 8th ACM Conference on Electronic Commerce (EC-07) , pp. 30-39, San Diego, CA, USA. Keywords: mechanism design, automated mechanism design, VCG mechanism, revenue redistribution, combinatorial auctions and exchanges. SIGecom Exchanges Volume 8.2. Contributed Introduction and Editor's Puzzle: A Dutch Dutch Auction Clock Auction . Keywords: edited volumes. SIGecom Exchanges Volume 8.1. Contributed Introduction and Editor's Puzzle: Identifying the Champion . Keywords: edited volumes. 2008 Vincent Conitzer. Anonymity-Proof Voting Rules. In Proceedings of the Fourth Workshop on Internet and Network Economics (WINE-08) , pp. 295-306, Shanghai, China, 2008. Keywords: anonymity-proofness, voting, mechanism design. Krzysztof Apt, Vincent Conitzer, Mingyu Guo, and Evangelos Markakis. Welfare Undominated Groves Mechanisms. In Proceedings of the Fourth Workshop on Internet and Network Economics (WINE-08) , pp. 426-437, Shanghai, China, 2008. See journal version above . Keywords: mechanism design, automated mechanism design, VCG mechanism, revenue redistribution, combinatorial auctions and exchanges. Joshua Letchford, Vincent Conitzer, and Kamal Jain. An "Ethical" Game-Theoretic Solution Concept for Two-Player Perfect-Information Games. In Proceedings of the Fourth Workshop on Internet and Network Economics (WINE-08) , pp. 696-707, Shanghai, China, 2008. Full version with appendices. Keywords: noncooperative game theory, alternative solution concepts, moral AI. Mingyu Guo and Vincent Conitzer. Better Redistribution with Inefficient Allocation in Multi-Unit Auctions with Unit Demand. In Proceedings of the 9th ACM Conference on Electronic Commerce (EC-08) , pp. 210-219, Chicago, IL, USA, 2008. See journal version above . Keywords: mechanism design, automated mechanism design, VCG mechanism, revenue redistribution, combinatorial auctions and exchanges. Lirong Xia and Vincent Conitzer. A Sufficient Condition for Voting Rules to Be Frequently Manipulable. In Proceedings of the 9th ACM Conference on Electronic Commerce (EC-08) , pp. 99-108, Chicago, IL, USA, 2008. Keywords: voting, hardness of manipulation. Lirong Xia and Vincent Conitzer. Generalized Scoring Rules and the Frequency of Coalitional Manipulability. In Proceedings of the 9th ACM Conference on Electronic Commerce (EC-08) , pp. 109-118, Chicago, IL, USA, 2008. Keywords: voting, hardness of manipulation. Liad Wagman and Vincent Conitzer. Optimal False-Name-Proof Voting Rules with Costly Voting. In Proceedings of the 23rd National Conference on Artificial Intelligence (AAAI-08) , pp. 190-195, Chicago, IL, USA, 2008. Received one of two Outstanding Paper Awards. Also see journal version above . Keywords: anonymity-proofness, voting, mechanism design. Lirong Xia and Vincent Conitzer. Determining Possible and Necessary Winners under Common Voting Rules Given Partial Orders. In Proceedings of the 23rd National Conference on Artificial Intelligence (AAAI-08) , pp. 196-201, Chicago, IL, USA, 2008. See journal version above . Keywords: voting, winner determination, preference elicitation, hardness of manipulation. Lirong Xia, Vincent Conitzer, and Jrme Lang. Voting on Multiattribute Domains with Cyclic Preferential Dependencies. In Proceedings of the 23rd National Conference on Artificial Intelligence (AAAI-08) , pp. 202-207, Chicago, IL, USA, 2008. Keywords: voting, voting in combinatorial domains. Vincent Conitzer and Tuomas Sandholm. New Complexity Results about Nash Equilibria. Games and Economic Behavior , Special Issue on the Second World Congress of the Game Theory Society, Volume 63, Issue 2, 2008, pp. 621-641. Earlier version appeared in Proceedings of the 18th International Joint Conference on Artificial Intelligence (IJCAI-03) , pp. 765-771, Acapulco, Mexico, 2003. Keywords: noncooperative game theory, Nash equilibrium. Mingyu Guo and Vincent Conitzer. Optimal-in-Expectation Redistribution Mechanisms. In Proceedings of the 7th International Joint Conference on Autonomous Agents and Multi Agent Systems (AAMAS-08) , pp. 1047-1054, Estoril, Portugal, 2008. See journal version above . Keywords: mechanism design, automated mechanism design, VCG mechanism, revenue redistribution, combinatorial auctions and exchanges. Mingyu Guo and Vincent Conitzer. Undominated VCG Redistribution Mechanisms. In Proceedings of the 7th International Joint Conference on Autonomous Agents and Multi Agent Systems (AAMAS-08) , pp. 1039-1046, Estoril, Portugal, 2008. Also see journal version above . Keywords: mechanism design, automated mechanism design, VCG mechanism, revenue redistribution, combinatorial auctions and exchanges. Liad Wagman and Vincent Conitzer. Strategic Betting for Competitive Agents. In Proceedings of the 7th International Joint Conference on Autonomous Agents and Multi Agent Systems (AAMAS-08) , pp. 847-854, Estoril, Portugal, 2008. See journal version above . Keywords: noncooperative game theory, Nash equilibrium. Naoki Ohta, Vincent Conitzer, Yasufumi Satoh, Atsushi Iwasaki, and Makoto Yokoo. Anonymity-Proof Shapley Value: Extending Shapley Value for Coalitional Games in Open Environments. In Proceedings of the 7th International Joint Conference on Autonomous Agents and Multi Agent Systems (AAMAS-08) , pp. 927-934, Estoril, Portugal, 2008. Received the Pragnesh Jay Modi Best Student Paper Award. Keywords: cooperative game theory, anonymity-proofness, collusion, Shapley value. Vincent Conitzer. Comparing Multiagent Systems Research in Combinatorial Auctions and Voting. The 10th International Symposium on Artificial Intelligence and Mathematics (ISAIM-08) , Fort Lauderdale, FL, USA. (Paper corresponding to an invited talk.) See journal version above . Keywords: combinatorial auctions and exchanges, voting, overviews. Vincent Conitzer. Using a Memory Test to Limit a User to One Account. The 10th International Workshop on Agent Mediated Electronic Commerce (AMEC-08) , Estoril, Portugal. Appears in LNBIP 44, Agent-Mediated Electronic Commerce and Trading Agent Design and Analysis , pp. 60-72. Keywords: anonymity-proofness. Mehmet Serkan Apaydin, Vincent Conitzer, and Bruce Randall Donald. Structure-based protein NMR assignments using native structural ensembles. Journal of Biomolecular NMR , 2008; 40(4):263-276. PMID: 18365752. Keywords: computational biology, voting, optimal voting rules. SIGecom Exchanges Volume 7.3. Contributed Introduction and Editor's Puzzle: Product Adoption in a Social Network . Keywords: edited volumes. SIGecom Exchanges Volume 7.2. Contributed Introduction and Editor's Puzzle: Strategically Choosing Products to Release . Keywords: edited volumes. 2007 Vincent Conitzer. Limited Verification of Identities to Induce False-Name-Proofness. In Proceedings of the 11th Conference on Theoretical Aspects of Rationality and Knowledge (TARK-07) , pp. 102-111, Brussels, Belgium. Keywords: anonymity-proofness, mechanism design, combinatorial auctions and exchanges, voting. Vincent Conitzer, Tuomas Sandholm, and Jrme Lang. When Are Elections with Few Candidates Hard to Manipulate? Journal of the ACM (JACM) , Volume 54, Issue 3, June 2007, Article 14 (33 pages). Supersedes "How Many Candidates Are Needed to Make Elections Hard to Manipulate?" (TARK-03, pp. 201-214) and "Complexity of Manipulating Elections with Few Candidates" (AAAI-02, pp. 314-319). Keywords: voting, hardness of manipulation. Mingyu Guo and Vincent Conitzer. Worst-Case Optimal Redistribution of VCG Payments. In Proceedings of the 8th ACM Conference on Electronic Commerce (EC-07) , pp. 30-39, San Diego, CA, USA. See journal version above . Keywords: mechanism design, automated mechanism design, VCG mechanism, revenue redistribution, combinatorial auctions and exchanges. Vincent Conitzer. Eliciting Single-Peaked Preferences Using Comparison Queries. In Proceedings of the 6th International Joint Conference on Autonomous Agents and Multi Agent Systems (AAMAS-07) , pp. 408-415, Honolulu, HI, USA, 2007. See journal version above . Keywords: voting, preference elicitation, single-peaked preferences. Vincent Conitzer and Tuomas Sandholm. Incremental Mechanism Design. In Proceedings of the 20th International Joint Conference on Artificial Intelligence (IJCAI-07) , pp. 1251-1256, Hyderabad, India, 2007. Keywords: mechanism design, automated mechanism design, VCG mechanism, voting, hardness of manipulation. Tuomas Sandholm, Vincent Conitzer, and Craig Boutilier. Automated Design of Multistage Mechanisms. In Proceedings of the 20th International Joint Conference on Artificial Intelligence (IJCAI-07) , pp. 1500-1506, Hyderabad, India, 2007. Keywords: mechanism design, automated mechanism design, preference elicitation. Vincent Conitzer and Tuomas Sandholm. AWESOME: A General Multiagent Learning Algorithm that Converges in Self-Play and Learns a Best Response Against Stationary Opponents. Machine Learning , Special Issue on Learning and Computational Game Theory, Volume 67, Numbers 1-2, May 2007, pp. 23-43. Earlier version appeared in Proceedings of the 20th International Conference on Machine Learning (ICML-03) , pp. 83-90, Washington, DC, USA, 2003. Keywords: noncooperative game theory, machine learning, learning in games, Nash equilibrium. SIGecom Exchanges Volume 7.1. Contributed Introduction and Editor's Puzzle: Combinatorial Auction Winner Determination . Keywords: edited volumes. 2006 Vincent Conitzer. Computational Aspects of Preference Aggregation. Ph.D. Dissertation. Computer Science Department, Carnegie Mellon University, Pittsburgh, PA, July 2006. Available as technical report CMU-CS-06-145. Received the 2006 IFAAMAS Victor Lesser Distinguished Dissertation Award and an Honorable Mention for the 2007 ACM Doctoral Dissertation Award. Abstract, acknowledgements, contents. Chapter 1: Introduction. Chapter 2: Expressive Preference Aggregation Settings (review of voting, task and resource allocation, and other settings). Chapter 3: Outcome Optimization (winner determination in voting, combinatorial auctions, and other settings). Chapter 4: Mechanism Design (review). Chapter 5: Difficulties for Classical Mechanism Design (limitations of VCG and other impossibilities). Chapter 6: Automated Mechanism Design. Chapter 7: Game-Theoretic Foundations of Mechanism Design (review of game theory and the revelation principle). Chapter 8: Mechanism Design for Bounded Agents (revelation principle failure and hardness of manipulation in voting). Chapter 9: Computing Game-Theoretic Solutions (Nash equilibrium, dominance, and others). Chapter 10: Automated Mechanism Design for Bounded Agents (incremental mechanism design). Chapter 11: Conclusions and Future Research. Bibliography. Keywords: overviews. Vincent Conitzer and Tuomas Sandholm. Complexity of Constructing Solutions in the Core Based on Synergies Among Coalitions. Artificial Intelligence , Volume 170, Issues 6-7, May 2006, pp. 607-619. Earlier version appeared as "Complexity of Determining Nonemptiness of the Core" in Proceedings of the 18th International Joint Conference on Artificial Intelligence (IJCAI-03) , pp. 613-618, Acapulco, Mexico, 2003. Keywords: cooperative game theory, core. Vincent Conitzer and Tuomas Sandholm. Computing the Optimal Strategy to Commit To. In Proceedings of the 7th ACM Conference on Electronic Commerce (EC-06) , pp. 82-90, Ann Arbor, MI, USA, 2006. Keywords: noncooperative game theory, commitment. Vincent Conitzer. Computing Slater Rankings Using Similarities Among Candidates. In Proceedings of the 21st National Conference on Artificial Intelligence (AAAI-06) , pp. 613-619, Boston, MA, USA, 2006. Early version: IBM Research Report RC23748. Keywords: voting, winner determination. Vincent Conitzer, Andrew Davenport, and Jayant Kalagnanam. Improved Bounds for Computing Kemeny Rankings. In Proceedings of the 21st National Conference on Artificial Intelligence (AAAI-06) , pp. 620-626, Boston, MA, USA, 2006. Keywords: voting, winner determination. Vincent Conitzer and Tuomas Sandholm. Nonexistence of Voting Rules That Are Usually Hard to Manipulate. In Proceedings of the 21st National Conference on Artificial Intelligence (AAAI-06) , pp. 627-634, Boston, MA, USA, 2006. Keywords: voting, hardness of manipulation. Naoki Ohta, Atsushi Iwasaki, Makoto Yokoo, Kohki Maruono, Vincent Conitzer, and Tuomas Sandholm. A Compact Representation Scheme for Coalitional Games in Open Anonymous Environments. In Proceedings of the 21st National Conference on Artificial Intelligence (AAAI-06) , pp. 697-702, Boston, MA, USA, 2006. Keywords: cooperative game theory, anonymity-proofness, collusion, core, nucleolus. Vincent Conitzer and Nikesh Garera. Learning Algorithms for Online Principal-Agent Problems (and Selling Goods Online). In Proceedings of the 23rd International Conference on Machine Learning (ICML-06) , pp. 209-216, Pittsburgh, Pennsylvania, USA, 2006. Keywords: machine learning, learning in markets. Vincent Conitzer and Tuomas Sandholm. A Technique for Reducing Normal-Form Games to Compute a Nash Equilibrium. In Proceedings of the 5th International Joint Conference on Autonomous Agents and Multi Agent Systems (AAMAS-06) , pp. 537-544, Hakodate, Japan, 2006. One of four runners-up for the Best Student Paper Award. Keywords: noncooperative game theory, Nash equilibrium. Vincent Conitzer and Tuomas Sandholm. Failures of the VCG Mechanism in Combinatorial Auctions and Exchanges. In Proceedings of the 5th International Joint Conference on Autonomous Agents and Multi Agent Systems (AAMAS-06) , pp. 521-528, Hakodate, Japan, 2006. Keywords: combinatorial auctions and exchanges, mechanism design, collusion, VCG mechanism. 2005 Vincent Conitzer and Tuomas Sandholm. Communication Complexity of Common Voting Rules. In Proceedings of the 6th ACM Conference on Electronic Commerce (EC-05) , pp. 78-87, Vancouver, Canada, 2005. Keywords: voting, preference elicitation, communication complexity. Vincent Conitzer and Tuomas Sandholm. Complexity of (Iterated) Dominance. In Proceedings of the 6th ACM Conference on Electronic Commerce (EC-05) , pp. 88-97, Vancouver, Canada, 2005. Keywords: noncooperative game theory, dominance and iterated dominance. Vincent Conitzer and Tuomas Sandholm. Common Voting Rules as Maximum Likelihood Estimators. In Proceedings of the 21st Annual Conference on Uncertainty in Artificial Intelligence (UAI-05) , pp. 145-152, Edinburgh, Scotland, UK, 2005. Keywords: voting, optimal voting rules. Vincent Conitzer and Tuomas Sandholm. A Generalized Strategy Eliminability Criterion and Computational Methods for Applying It. In Proceedings of the 20th National Conference on Artificial Intelligence (AAAI-05) , pp. 483-488, Pittsburgh, Pennsylvania, USA, 2005. Keywords: noncooperative game theory, Nash equilibrium, dominance and iterated dominance, alternative solution concepts. Vincent Conitzer and Tuomas Sandholm. Expressive Negotiation in Settings with Externalities. In Proceedings of the 20th National Conference on Artificial Intelligence (AAAI-05) , pp. 255-260, Pittsburgh, Pennsylvania, USA, 2005. See journal version above . Keywords: expressive markets, public goods, externalities, winner determination. Vincent Conitzer, Tuomas Sandholm, and Paolo Santi. Combinatorial Auctions with k -wise Dependent Valuations. In Proceedings of the 20th National Conference on Artificial Intelligence (AAAI-05) , pp. 248-254, Pittsburgh, Pennsylvania, USA, 2005. Keywords: combinatorial auctions and exchanges, winner determination, preference elicitation. Makoto Yokoo, Vincent Conitzer, Tuomas Sandholm, Naoki Ohta, and Atsushi Iwasaki. Coalitional Games in Open Anonymous Environments. In Proceedings of the 20th National Conference on Artificial Intelligence (AAAI-05) , pp. 509-514, Pittsburgh, Pennsylvania, USA, 2005. This paper was also presented at the 19th Annual Conference of the Japan Society for Artificial Intelligence (JSAI-05) where it was one of five Awarded Papers . Keywords: cooperative game theory, anonymity-proofness, collusion, core, nucleolus, Shapley value. Tuomas Sandholm, Andrew Gilpin, and Vincent Conitzer. Mixed-Integer Programming Methods for Finding Nash Equilibria. In Proceedings of the 20th National Conference on Artificial Intelligence (AAAI-05) , pp. 495-501, Pittsburgh, Pennsylvania, USA, 2005. Keywords: noncooperative game theory, Nash equilibrium. Vincent Conitzer. Computational Aspects of Mechanism Design. In Proceedings of the 20th National Conference on Artificial Intelligence (AAAI-05) (Doctoral Consortium) , pp. 1642-1643, Pittsburgh, PA, USA, 2005. Keywords: overviews. 2004 Vincent Conitzer and Tuomas Sandholm. Expressive Negotiation over Donations to Charities. In Proceedings of the 5th ACM Conference on Electronic Commerce (EC-04) , pp. 51-60, New York, NY, USA, 2004. See journal version above . Keywords: expressive markets, public goods, externalities, winner determination. Vincent Conitzer and Tuomas Sandholm. Self-Interested Automated Mechanism Design and Implications for Optimal Combinatorial Auctions. In Proceedings of the 5th ACM Conference on Electronic Commerce (EC-04) , pp. 132-141, New York, NY, USA, 2004. Keywords: mechanism design, automated mechanism design, combinatorial auctions and exchanges. Vincent Conitzer and Tuomas Sandholm. Computing Shapley Values, Manipulating Value Division Schemes, and Checking Core Membership in Multi-Issue Domains. In Proceedings of the 19th National Conference on Artificial Intelligence (AAAI-04) , pp. 219-225, San Jose, California, USA, 2004. Keywords: cooperative game theory, core, Shapley value. Vincent Conitzer, Jonathan Derryberry, and Tuomas Sandholm. Combinatorial Auctions with Structured Item Graphs. In Proceedings of the 19th National Conference on Artificial Intelligence (AAAI-04) , pp. 212-218, San Jose, California, USA, 2004. Keywords: combinatorial auctions and exchanges, winner determination. Vincent Conitzer and Tuomas Sandholm. Communication Complexity as a Lower Bound for Learning in Games. In Proceedings of the 21st International Conference on Machine Learning (ICML-04) , pp. 185-192, Banff, Alberta, Canada, 2004. Keywords: noncooperative game theory, machine learning, learning in games, communication complexity, Nash equilibrium, dominance and iterated dominance, backward induction. Vincent Conitzer and Tuomas Sandholm. An Algorithm for Automatically Designing Deterministic Mechanisms without Payments. In Proceedings of the 3rd International Joint Conference on Autonomous Agents and Multi Agent Systems (AAMAS-04) , pp. 128-135, New York, NY, USA, 2004. Keywords: mechanism design, automated mechanism design. Paolo Santi, Vincent Conitzer, and Tuomas Sandholm. Towards a Characterization of Polynomial Preference Elicitation with Value Queries in Combinatorial Auctions. In Proceedings of the 17th Annual Conference on Learning Theory (COLT-04) , pp. 1-16, Banff, Alberta, Canada, 2004. Keywords: combinatorial auctions and exchanges, preference elicitation, machine learning. Vincent Conitzer and Tuomas Sandholm. Computational Criticisms of the Revelation Principle. Short paper in Proceedings of the 5th ACM Conference on Electronic Commerce (EC-04) , pp. 262-263, New York, NY, USA, 2004. Also presented orally at the Conference on Logic and the Foundations of Game and Decision Theory (LOFT-04) , Leipzig, Germany, 2004. Keywords: mechanism design, hardness of manipulation, revelation principle. 2003 Vincent Conitzer and Tuomas Sandholm. Complexity Results about Nash Equilibria. In Proceedings of the 18th International Joint Conference on Artificial Intelligence (IJCAI-03) , pp. 765-771, Acapulco, Mexico, 2003. See journal version above . Keywords: noncooperative game theory, Nash equilibrium. Vincent Conitzer and Tuomas Sandholm. Universal Voting Protocol Tweaks to Make Manipulation Hard. In Proceedings of the 18th International Joint Conference on Artificial Intelligence (IJCAI-03) , pp. 781-788, Acapulco, Mexico, 2003. Keywords: voting, hardness of manipulation. Vincent Conitzer and Tuomas Sandholm. Definition and Complexity of Some Basic Metareasoning Problems. In Proceedings of the 18th International Joint Conference on Artificial Intelligence (IJCAI-03) , pp. 1099-1106, Acapulco, Mexico, 2003. Keywords: resource-bounded reasoning. Vincent Conitzer and Tuomas Sandholm. Complexity of Determining Nonemptiness of the Core. In Proceedings of the 18th International Joint Conference on Artificial Intelligence (IJCAI-03) , pp. 613-618, Acapulco, Mexico, 2003. See journal version above . Keywords: cooperative game theory, core. Vincent Conitzer and Tuomas Sandholm. AWESOME: A General Multiagent Learning Algorithm that Converges in Self-Play and Learns a Best Response Against Stationary Opponents. In Proceedings of the 20th International Conference on Machine Learning (ICML-03) , pp. 83-90, Washington, DC, USA, 2003. See journal version above . Keywords: noncooperative game theory, machine learning, learning in games, Nash equilibrium. Vincent Conitzer and Tuomas Sandholm. BL-WoLF: A Framework For Loss-Bounded Learnability In Zero-Sum Games. In Proceedings of the 20th International Conference on Machine Learning (ICML-03) , pp. 91-98, Washington, DC, USA, 2003. Keywords: noncooperative game theory, machine learning, learning in games, zero-sum games. Vincent Conitzer, Jrme Lang, and Tuomas Sandholm. How Many Candidates Are Needed to Make Elections Hard to Manipulate? In Proceedings of the 9th Conference on Theoretical Aspects of Rationality and Knowledge (TARK-03) , pp. 201-214, Bloomington, Indiana, USA, 2003. See journal version above . Keywords: voting, hardness of manipulation. Vincent Conitzer and Tuomas Sandholm. Automated Mechanism Design: Complexity Results Stemming from the Single-Agent Setting. In Proceedings of the 5th International Conference on Electronic Commerce (ICEC-03) , pp. 17-24, Pittsburgh, PA, USA, 2003. Keywords: mechanism design, automated mechanism design. Vincent Conitzer and Tuomas Sandholm. Applications of Automated Mechanism Design. Early version: the UAI-03 Bayesian Modeling Applications Workshop , Acapulco, Mexico, 2003. Keywords: mechanism design, automated mechanism design. Vincent Conitzer and Tuomas Sandholm. Automated Mechanism Design with a Structured Outcome Space. Draft, 2003. Keywords: mechanism design, automated mechanism design. 2002 Vincent Conitzer and Tuomas Sandholm. Complexity of Mechanism Design. In Proceedings of the 18th Annual Conference on Uncertainty in Artificial Intelligence (UAI-02) , pp. 103-110, Edmonton, Canada, 2002. Keywords: mechanism design, automated mechanism design. Vincent Conitzer and Tuomas Sandholm. Complexity of Manipulating Elections with Few Candidates. In Proceedings of the 18th National Conference on Artificial Intelligence (AAAI-02) , pp. 314-319, Edmonton, Canada, 2002. See journal version above . Keywords: voting, hardness of manipulation. Vincent Conitzer and Tuomas Sandholm. Vote Elicitation: Complexity and Strategy-Proofness. In Proceedings of the 18th National Conference on Artificial Intelligence (AAAI-02) , pp. 392-397, Edmonton, Canada, 2002. Keywords: voting, preference elicitation. TEACHING COMPSCI 270 (Spring 2019): Introduction to Artificial Intelligence. COMPSCI 590.2 (Fall 2018): Computational Microeconomics: Game Theory, Social Choice, and Mechanism Design. COMPSCI 223 (Spring 2018): Computational Microeconomics. COMPSCI 570 (Fall 2017): Artificial Intelligence. Philosophy 590.3 (Fall 2017) / 590.1 (Spring 2018): Ethics and AI. COMPSCI 590.2 (Spring 2017): Computation, Information, and Learning in Market Design. COMPSCI 590.4 (Spring 2016): Computational Microeconomics: Game Theory, Social Choice, and Mechanism Design. COMPSCI 290.4/590.4 (Spring 2015): Crowdsourcing Societal Tradeoffs. COMPSCI 570 (Fall 2014): Artificial Intelligence. COMPSCI 590.4 (Spring 2014): Computational Microeconomics: Game Theory, Social Choice, and Mechanism Design. COMPSCI 590.1 (Fall 2012): Linear and Integer Programming. COMPSCI 173 (Spring 2012): Computational Microeconomics. COMPSCI 296.1 (Fall 2011): Computational Microeconomics: Game Theory, Social Choice, and Mechanism Design. COMPSCI 296.1 (Fall 2010): Linear and Integer Programming. COMPSCI 173 (Spring 2010): Computational Microeconomics. COMPSCI 196.1/296.1 (Fall 2009): Computational Microeconomics: Game Theory, Social Choice, and Mechanism Design. COMPSCI 170 (Spring 2009): Introduction to Artificial Intelligence. COMPSCI 270 (Fall 2008): Artificial Intelligence. COMPSCI 196/296.2 (Spring 2008): Linear and Integer Programming. COMPSCI 196.2 (Fall 2007): Introduction to Computational Economics. COMPSCI 296.3 (Spring 2007): Topics in Computational Economics. COMPSCI 296.2 (Fall 2006): Computational Game Theory and Mechanism Design. MISCELLANEOUS Tutorial on Computational Social Choice and Moral Artificial Intelligence at AAMAS/ICML/IJCAI 2018: tutorial webpage (including slides) . EC 2018 Crash Course on Computational Social Choice and Fair Division: ppt , pdf . Video of panel on AI in the administrative state (2018). AMMCS 2017 plenary talk "Moral Artificial Intelligence and the Societal Tradeoffs Problem": pptx , pdf . WINE 2015 tutorial on game-theoretic models of voting: main slides ( ppt , pdf ); additional slides ( pdf ). NIPS 2014 tutorial on Computing Game-Theoretic Solutions: pptx , pdf . Another version of the tutorial for AAAI 2015 is here . 2014 Social Choice and Welfare Prize talk: ppt , pdf . IJCAI 2011 Computers and Thought talk: slides without animation , slides with animation . The paper for my AAAI 2012 "What's Hot" talk covers similar material as the talk (but is more up to date). For an overview of some other work, maybe see my 2010 CACM article . Computational Social Choice tutorial from the 2012 Summer School on Algorithmic Economics at CMU: ppt , pdf . (Earlier versions at COMSOC-10 ( ppt , pdf ) and with Ariel Procaccia at EC-10 and AAMAS-10 (my slides ( ppt , pdf ), Ariel's slides ).) My (outdated) intellectual development statement for Duke. Tutorial: Automated Mechanism Design: Approaches and Applications ( ppt (my slides only), pdf (also including Eugene's slides)). Given at EC-08, AAMAS-09, IJCAI-09 with Yevgeniy (Eugene) Vorobeychik. Attracting Students to Computer Science Using Artificial Intelligence, Economics, and Linear Programming ( .ppt , .pdf ). (Invited talk at the 2008 AAAI Spring Symposium on Using AI to Motivate Greater Participation in Computer Science, and a 2010 ARTSI faculty workshop.) Tutorial: Mechanism Design for Multiagent Systems ( .ppt , .pdf ). Given at the Dubai Agents & Multi-Agent Systems School 2008 , and an earlier version at NESCAI 2006 . A game-theoretically optimal computer player for a class of Liar's Dice games (source code). Let me know if you find bugs/have comments. (Apologies for the archaic text-based interface...) A puzzle - let me know if you solve it. Here are some hints , as well as the first few steps of the solution , and even a translation into French by Dany Bergeron. (For more puzzles, see SIGecom Exchanges .) A 5-line integer program formulation for Sudoku in GMPL, the modeling language for GLPK ( GNU Linear Programming Kit ). (I'm certainly not the first to come up with such a formulation, e.g. here .) The example puzzle is from Wikipedia's Sudoku page (and solves in 0.0 seconds). "Contizer" is the most common misspelling of my family's name; I wonder what causes this particular typo (rather than others with the same edit distance)? Of course, this is nothing compared to the misspellings of "Atila Abdulkadiroglu" . HUMOR Sergiu Hart's humor page. Love Two Point Oh . diff --git a/src/data/compiled_bios/1556.txt b/src/data/compiled_bios/1556.txt new file mode 100644 index 0000000000..efc5705e22 --- /dev/null +++ b/src/data/compiled_bios/1556.txt @@ -0,0 +1 @@ + Skip to main content Secondary menu Departments Departments & Centers Overview Biomedical Engineering Civil & Environmental Engineering Electrical & Computer Engineering Mechanical Engineering & Materials Science Engineering Management Alumni & Giving Overview Alumni Giving Board of Visitors Our History Corporate Partners Overview Recruiting Our Students Connect With Students Sponsored Research TechConnect Career Networking Apply Careers Contact search Menu search Undergraduate Overview Degrees & Certificates Bachelor of Science in Engineering (BSE) 4+1: BSE+Master's Degree Enrollment and Graduation Rates Certificates Research & Independent Study Pratt Research Fellows Grand Challenge Scholars Diversity & Inclusion Entrepreneurship Organizations Admissions Walking Tours Where Our Undergrads Go Frequently Asked Questions For Current Students The First Year Advising Internships Graduation with Distinction Policies & Procedures Summer Research Experiences (REU) Graduate Why Choose Duke? 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PhD Programs Certificates & Training Programs Where Our PhD Grads Go Career Services Master's Programs Tuition & Financial Aid Admitted Students Career Services How to Apply Visit Duke Engineering Find a Recruiting Event Near You Recruitment Event Schedule Virtual Information Sessions Life at Duke Welcome to Durham Families Health & Safety Transportation & Parking Diversity & Inclusion Bootcamp for Applicants Recruiting Incentives Frequently Asked Questions For Current Students External Fellowship Resources Graduate Communications Center Science Writing Workshops Graduate Student Groups PhD Plus Program Spring Engineering + Computing Showcase Teaching Assistant (TA) Training Faculty & Research Faculty Awards and Recognition Meet Our New Faculty New Faculty Lecture Series Join Our Faculty Research Explore Our Research Innovation & Translational Research Recent Research Awards Research Timeline About Dean's Welcome Meet Dean Bellamkonda Facts & Stats Directory Campus Facilities Directions & Map Tours Diversity & Inclusion Student Resources Accommodations for Disabilities Diversity Contacts Entrepreneurship Advice Education Resources Connections News Media Coverage Email Newsletter DukEngineer Magazine Special Publications Events Events Calendar Academic Calendar Commencement Outreach Courses and Service Organizations K-12 Outreach Knowledge in the Service of Society You are here Home Faculty Mary "Missy" Cummings Professor in the Department of Mechanical Engineering and Materials Science Mary "Missy" Cummings received her B.S. in Mathematics from the US Naval Academy in 1988, her M.S. in Space Systems Engineering from the Naval Postgraduate School in 1994, and her Ph.D. in Systems Engineering from the University of Virginia in 2004. A naval officer and military pilot from 1988-1999, she was one of the Navy's first female fighter pilots. Cummings is currently a Professor in the Duke University Pratt School of Engineering, the Duke Institute of Brain Sciences, and is the director of the Humans and Autonomy Laboratory and Duke Robotics. Her research interests include human-unmanned vehicle interaction, human-autonomous system collaboration, human-systems engineering, public policy implications of unmanned vehicles, and the ethical and social impact of technology. Appointments and Affiliations Professor in the Department of Mechanical Engineering and Materials Science Associate Professor in the Department of Electrical and Computer Engineering Professor of Computer Science Associate of the Duke Initiative for Science & Society Contact Information Office Location: 131 North Building, Box 103957, Durham, NC 27708 Office Phone: (919) 660-5306 Email Address: m.cummings@duke.edu Websites: Humans and Automony Lab Education Ph.D. University of Virginia, 2004 Research Interests Human-unmanned vehicle interaction, human-autonomous system collaboration, human-systems engineering, public policy implications of unmanned vehicles, and the ethical and social impact of technology. Courses Taught COMPSCI 391: Independent Study COMPSCI 393: Research Independent Study COMPSCI 394: Research Independent Study COMPSCI 590: Advanced Topics in Computer Science ECE 391: Projects in Electrical and Computer Engineering ECE 493: Projects in Electrical and Computer Engineering ECE 494: Projects in Electrical and Computer Engineering ECE 590: Advanced Topics in Electrical and Computer Engineering ECE 899: Special Readings in Electrical Engineering EGR 393: Research Projects in Engineering ME 392: Undergraduate Projects in Mechanical Engineering ME 492: Special Projects in Mechanical Engineering ME 555: Advanced Topics in Mechanical Engineering ME 591: Research Independent Study in Mechanical Engineering or Material Science ME 592: Research Independent Study in Mechanical Engineering or Material Science In the News Missy Cummings: 'I Don't Know How Professors Teach Without Fighter-Pilot Experience' ( May 2, 2018 | The Atlantic ) Technological, Regulatory Innovation Needed to Ensure Safety in Autonomous Vehicle Research ( Apr 9, 2018 ) Deterring Drones from Ballparks and Botanical Gardens ( Oct 13, 2017 | Pratt School of Engineering ) The Workplace of the Future ( Aug 30, 2017 ) Drones Take Research to New Heights ( Mar 15, 2017 | Duke Magazine ) Missy Cummings: We just need a new DMV for driverless cars ( Sep 21, 2016 | The Atlantic ) Missy Cummings comments: Facebook's Aquila drone completes first test flight ( Jul 25, 2016 | USA Today ) Plans for self-driving cars have pitfall: The human brain ( Jul 20, 2016 | New York Times/AP ) Missy Cummings: The quest for the next human-computer interface ( Jul 13, 2016 | The Atlantic ) Mary Missy Cummings comments: Deadly force by robot may be first for law enforcement ( Jul 11, 2016 | The Boston Herald ) Mary Missy Cummings comments: Automakers worry Tesla autopilot crash could have chilling effect on driverless car industry ( Jul 7, 2016 | KPCC-Pasadena ) Mary Missy Cummings: Tesla's troubles ( Jul 6, 2016 | CNBC ) A Tesla fatality and the future of self-driving cars ( Jul 1, 2016 | The Atlantic ) Missy Cummings comments: NHTSA probes Tesla self-driving cars after fatal crash ( Jul 1, 2016 | The Detroit News ) Mary Cummings comments: Why is Google's co-founder secretly investing in flying cars? ( Jun 10, 2016 | The Christian Science Monitor ) Missy Cummings comments: The almost self-driving car is here ( Apr 19, 2016 | WBUR-NPRs On Point ) Driverless-car makers on privacy: Just trust us ( Mar 25, 2016 | The Atlantic ) Missy Cummings: Self-driving cars are absolutely not ready for deployment ( Mar 16, 2016 | PBS NewsHour, AP ) Video: Missy Cummings testifies at hearing on self-driving cars ( Mar 16, 2016 | C-SPAN ) Robots may be eyeing your job, and other lessons from Cusp Conference ( Oct 13, 2015 | Chicago Tribune ) Duke Engineering Invaded by Robots! ( Jun 11, 2015 ) Missy Cummings: Drones Fly Into the Future ( May 27, 2015 | Duke Magazine ) Mary Cummings: Drones and the future of war ( May 22, 2015 | Australian Broadcasting ) Mary Missy Cummings quoted: Planes without pilots ( Apr 7, 2015 | The New York Times ) What To Do About Drones ( Jan 29, 2015 | CNN ) Representative Publications Cummings, ML; Quimby, PW, The power of collective intelligence in a signal detection task , Theoretical Issues in Ergonomics Science, vol 19 no. 3 (2018), pp. 375-388 [ 10.1080/1463922x.2017.1381776 ] [ abs ]. Cummings, MM, Informing Autonomous System Design Through the Lens of Skill-, Rule-, and Knowledge-Based Behaviors , Journal of Cognitive Engineering and Decision Making, vol 12 no. 1 (2018), pp. 58-61 [ 10.1177/1555343417736461 ] [ abs ]. Nneji, VC; Cummings, ML; Stimpson, A; Goodrich, KH, Functional requirements for remotely managing fleets of on-demand passenger aircraft , Aiaa Aerospace Sciences Meeting, 2018 no. 210059 (2018) [ 10.2514/6.2018-2007 ] [ abs ]. Elfar, M; Zhu, H; Raghunathan, A; Tay, YY; Wubbenhorst, J; Cummings, ML; Pajic, M, WiP abstract: Platform for security-aware design of human-on-the-loop cyber-physical systems , Proceedings 2017 Acm/Ieee 8th International Conference on Cyber Physical Systems, Iccps 2017 (Part of Cps Week) (2017) [ 10.1145/3055004.3064846 ] [ abs ]. Stimpson, AJ; Tucker, MB; Ono, M; Steffy, A; Cummings, ML, Modeling risk perception for mars rover supervisory control: Before and after wheel damage , 2017 Ieee Aerospace Conference (2017) [ 10.1109/aero.2017.7943871 ] [ abs ]. outrageously ambitious Copyright 2011-2019 Duke University | Pratt Intranet diff --git a/src/data/compiled_bios/1557.txt b/src/data/compiled_bios/1557.txt new file mode 100644 index 0000000000..3a4cf75ed7 --- /dev/null +++ b/src/data/compiled_bios/1557.txt @@ -0,0 +1 @@ + Bruce Donald is the James B. Duke Professor of Computer Science at Duke University, Professor of Chemistry, and Professor of Biochemistry in the Duke University Medical Center. He is also Professor of Electrical and Computer Engineering in the Duke Pratt School of Engineering. Bruce Donald received a B.A. from Yale University, and a Ph.D. from MIT. He was a professor in the Computer Science Department at Cornell University from 1987-1998. Donald received a National Science Foundation Presidential Young Investigator Award, and was named a Guggenheim Fellow for his work on algorithms for structural proteomics. He is a Fellow of the ACM , Fellow of the AAAS , and Fellow of the IEEE . Algorithms in Structural Molecular Biology. Textbook (MIT Press). Personal homepage - Donald Lab - Publications - Contact - Research - Teaching - Images - Videos diff --git a/src/data/compiled_bios/1558.txt b/src/data/compiled_bios/1558.txt new file mode 100644 index 0000000000..48b511a33f --- /dev/null +++ b/src/data/compiled_bios/1558.txt @@ -0,0 +1 @@ + Robert C. Duvall Lecturer Duke University Department of Computer Science D228 LSRC Box 90129 Durham, NC 27708-0129 rcd@cs.duke.edu Welcome to my homepage. If you came looking for the "real" Robert Duvall (i.e., the actor), I am sorry to disappoint you. To my knowledge, he does not have his own homepage, but you can find news and information about him here . If you are still reading, thank you for taking your time to visit my homepage. I hope you find something here worthwhile. I would tell you that these pages are under construction, but I believe that web pages should always be under construction. So you might want to come back occasionally to see if anything has been added. At Duke, I work with Owen Astrachan , Kristin Stephens-Martinez , Jeff Forbes , and Susan Rodger as a member of the Computer Science Education Group . Previously, I received both my B.S. and M.Sc. in Computer Science from Brown University while working on upgrading the introductory Computer Science sequence to use object-oriented programming. Teaching As a lecturer, I primarily teach the introductory programming courses. I enjoy talking to students, so feel free to drop by my office anytime. I also answer email as often as I can, but the advantage of coming to my office is that you can help reduce my overfull bowl of candy. Currently I am teaching the following courses: CompSci 307: Software Design and Implementation CompSci 308: Advanced Software Design and Implementation Previous courses If you are a Duke student wondering which Computer Science course to start with, there is an excellent guide to help clarify the issues here . Please consider applying to be a CompSci UTA! diff --git a/src/data/compiled_bios/1559.txt b/src/data/compiled_bios/1559.txt new file mode 100644 index 0000000000..0c07cff7e2 --- /dev/null +++ b/src/data/compiled_bios/1559.txt @@ -0,0 +1 @@ + Sina Farsiu, PhD Associate Professor Department of Biomedical Engineering Department of Ophthalmology Department of Electrical & Computer Engineering Department of Computer Science Duke University Mailing Address : BOX 3802,DUMC,Durham, NC, 27710 School of Engineering Office: Room 2575,CIEMASBuilding School of Medicine Office: Room 5014,AERIBuilding Phone : 919-684-6642 Email: sina DOT farsiu ATdukeDOTedu SEE OUR PUBLICATION PAGE FOR : Automated Segmentation of Ocular Images Artery-Vein Classification: Photonic Imaging: Image Compression Clinical Ophthalmic Research and Image Analysis Vision and Image Processing (VIP) Laboratory VIP Lab members "occupying" a local sushi restaurant since 2011! SEE OUR PUBLICATION PAGE FOR: Image Reconstruction Low-Quality Input Images on Left, High-Quality Reconstructed Images on Right Graph Theory Adaptive Optics Imaging Multimodal Handheld Photonics Imaging OCT Registeration Generalized Pseudo-Polar Fourier Grids Foundamental Bounds in Detection and Segmentation About I am the director of the Vision and Image Processing (VIP) Laboratory and an associate professor of Biomedical Engineering and Ophthalmology with secondary appointments at the Departments of Electrical and Computer Engineering and Computer Science at Duke University. I am the Senior Area Editor of IEEE Transactions on Image Processing and the Associate Editor of Biomedical Optics Express and SIAM Journal on Imaging Sciences . At VIP lab, our long-term goal is to improve the overall health and vision outcomes of at-risk patients with ocular and neurological diseases through earlier and better-directed therapy. To achieve this goal, we take advantage of recent advances in image processing and optics as an integrated technology to capture ocular images with higher resolution and better motion stability compared to the state-of-the-art imaging systems. Once these high-quality images are captured, we provide objective tools to quantitatively measure novel imaging biomarkers of the onset and progression of ophthalmic and neurological diseases. VIP Labs Research Focus 1. Image Analysis Software Development for Ophthalmology and Vision Sciences: A major focus of our lab is development of fully automated software, using deep learning and other advanced machine learning technologies, to objectively detect and evaluate the biomarkers for onset and progression of ocular and neurological diseases in adults (e.g. diabetic retinopathy, age-related macular degeneration (AMD), Glaucoma, and Alzheimer's disease) and children (e.g. retinopathy or prematurity (ROP)). We also develop automatic segmentation algorithms to detect/segment/quantify ocular anatomical/pathological structures seen on ophthalmic imaging systems such asOptical Coherence Tomography (OCT) and adaptive optics scanning laser ophthalmoscopy (AO-SLO). 2. Image Processing Theory and Application: We study efficient signal processing based methods to overcome the theoretical and practical limitations that constrain the achievable resolution of any imaging device. Our approach, whichis basedon adaptive extraction and robust fusion of relevant information from the expensive and sophisticated as well as simple and cheap sensors, has found wide applications in improving the quality of imaging systems such as ophthalmic SD-OCT, video indirect ophthalmoscopy, digital X-ray mammography, electronic and optical microscopes, and commercial digital camcorders. When I am not busy developing a mathematical model of the procrastination theory, I play with some statistical signal processing ideas, mainly super-resolution,demosaicing/deblurring/denoising, motion estimation, compressive sensing/adaptive sampling, segmentation, and sensor fusion. 3. Advanced Ophthalmic Imaging Hardware Development: In collaboration with our colleagues at the department of biomedical engineering, especially the Laboratory forBiophotonics , we develop the next generation ophthalmic imaging systems, including advanced handheld OCT and adaptive optics ocular imaging systems. News November 2018: News release about Arjun Desai's paper on our open source automated software for detection of infants' gestational age through smartphone lens imaging. November 2018: Call for papers in Neurophotonics special issue on "Advanced Retinal Imaging: Instruments, Methods, and Applications" which I'll be guest co-editing . August 2018: News release about our paper on handheld adaptive optics scanning laser ophthalmoscope (HAOSLO) . Also, we have made the Zemax optical design, Solidworks mechanical design, and LabView software, controlling the HAOSLO hardware open source and freely available onl ine. July 2018: Congrats to PhD Student Jessica Loo for receiving the John Chambers Scholar Award. June 2018: Congrats to PhD Student Jessica Loo for receiving the First prize for outstanding research at the annual Duke Ophthalmology Trainee day Scientific Symposium. March 2018: Congrats to PhD student Jessica Loo for receiving the 2nd Place poster award for her work on deep learning based OCT image analysis at theFitzpatrick Institute for Photonics Annual Meeting. Jan. 2018: Congrats to PhD student David Cunefare for receiving the Retina Research Foundation/ Joseph M. and Eula C. Lawrence Travel Grant to present his exciting research on deep learning based adaptive optics image analysis at the ARVO 2018 Annual Meeting in Honolulu, Hawaii. November 2017: You want to know if there is room for improving the accuracy of layer segmentation algorithms? Theo Duboses exciting new paper shows the theoretical lower bounds on the accuracy of retinal layer segmentation methods. His paper also accurately derives retinal layer specific statistical models of signal and noise in OCT imaging. PREPRINT July 2017: David Cunefare's Open source software for automatic detection of cone photoreceptors in adaptive optics ophthalmoscopy using convolutional neural networks is now freely availabel online ( click here for the code and dataset ) May 2017: Congrats and best wishes to Dr. Rolando Estrada for being appointed as a tenure-track Assistant Professor of Computer Science at the Georgia State University. Congrats to our ECE Pratt Fellow Eli Cole for graduating with distinction and winning the 2017 Charles Ernest Seager Memorial Award recognizing the most outstanding undergraduate research project in the ECE Department, and wishing him the best in the EE PhD program at Caltech. Congrats to our BME Pratt Fellow Leon Cai for graduating with distinction and winning the 2017 Clark Award in the BME Department, and wishing him the best success in the MD/PhD program at Vanderbilt University. Jan. 2017: Excited about our new paper on predicting the response to anti-VEGF treatmen t!. Jan. 2017: Congrats to our outstanding undergrad Pratt Fellow researcher, Eli Cole, for receiving the 1st place award in the Fall 2016 Duke ECE Independent Study Poster Session. Jan. 2017: Excited and honored to receive the " the Association for Research in Vision and Ophthalmology (ARVO) 2017 Pfizer Ophthalmics Carl Camras Translational Research Award". Nov. 2016: Jose Lezama has made publically available source code for his work on "Registration of wide field-of-view retinal optical coherence tomography volumes" Sept. 2016: Leyuan Fang has made publically available sofwtaer for his work on "Segmentation based sparse reconstruction of retinal optical coherence tomography volumes" June 2016: Congrats to PhD student Somayyeh Soltanian-Zadeh for being awarded Pre-doctoral NIH Fellowship in the Medical Imaging Training Program (MITP). June 2015: Congrats to PhD Student David Cunefare Jr. for receiving the $94,000 John T. Chambers Scholar award. June 2015: Rolando Estrada has made publically available two datasets of annotated wide field-of-view color retinal images utilized in his recent IEEE PAMI paper on tree topology estimation and IEEE TMI paper on artery vein classification . March 2015: Stephanie Chiu's solution to one of the most challenging automated OCT segmentation problems (layers and cysts in low-quality diabetic meacular edema images) is published and dataset of annotated images is now freely available online . March 2015: Hossein Rabbani has made the full dataset of annotated fluorescein angiography images from diabetic meacular edema patients utilized in his paper featured on the cover of IOVS freely available online. February 2015: We made large datasets of annotated images from multiple studies on diabetic meacular edema (SD-OCT ) freely available online. December 2014: Congratulations to our outstanding High School research intern Elizabeth Chiu for being admitted to Duke University. December 2014: Rolando Estrada's fundamental work on graph-theory is now accepted for publication in IEEE T-PAMI. This paper provides a practical solution for estimating the 3-D topology of tree-like structures (e.g. vessels and plant roots) from a single 2D image. September 2014: The second first authored journal paper of our recently graduated outstanding undergrad Pratt Fellow, Pratul Srinivasan , is now published . August 2014: New patent no. 8,811,745 issued: Segmentation and identification of layered structures in images. May 2014: Congratulations to Dr. Stephanie Chiu for officially receiving her well deserved PhD degree after co-authoring over 20 journal papers during her tenure at VIP lab. May 2014: Congratulations to our outstanding Pratt Fellow Pratul Srinivasan for being admitted to all top ranking ECE PhD programs in USA. May 2014: Congratulations to our outstanding High School research intern Alec V. Arshavsky for being admitted to Stanford University. February 2014: James Polans put the fast compressed sensing based wavefront measurement software freely available online. January 2014: Congrats to our high school research intern, Alec V. Arshavsky for winning the North Carolina International Science Challenge ; he will represent USA in the next round of competition in Beijing, China. Also, congrats to Alec for being selected as a finalist in the Intel Science Talent Search (Intel STS) . December 2013: Yeay! Our team of collaborators from different disciplines received BassConnections funding for our proposed project "Art, Vision and the Brain: An Exploration of Color and Brightness". It will be fun! August 2013: Congrats to our new PhD student David Cunefare for being awarded Pre-doctoral NIH Fellowship in the Medical Imaging Training Program (MITP). June 2013: Yeay! Our team of collaborators from different disciplines received DIBS pilot funding to study ophthalmic imaging biomarkers in early Alzheimers disease! May 2013: Complete study dataset including automated and manual markings for our AO-SLO cone photoreceptor automatic segmentation paper is available online . May 2013: Congrats to Stephanie Chiu for advancing to PhD candidacy after co-authoring 18 (published/submitted) journal papers July 2012: Yeay! We got NIH R01 funding to develop software for automated classification of diabetic macular edema. June 2012: PhD Student Stephanie Chiu received First prize for outstanding research at the annual Duke Ophthalmology Trainee day Scientific Symposium for the record "third times" in a row. April. 2012 : Yeay! We received NCBC funding to build a novel Ultrahigh-Resolution Adaptive Optics Optical Coherence Tomography/Scanning Laser Ophthalmoscopy System systems at DUEC. April 2012: Stephanie Chiu has put the complete study dataset including our automated and manual markings for her May 2012 BOE paper " Automatic segmentation of closed-contour features in ophthalmic images using graph theory and dynamic programming " online. January 2012: Yeay! We got NIH funding to build the next generation of handheld SD-OCT systems. June 2011: PhD Student Stephanie Chiu received First prize for outstanding research at the annual Duke Ophthalmology Trainee day Scientific Symposium. Feb. 2011: PhD Student Stephanie Chiu receivedtheNational Eye Institute travel award for herARVOabstract. Feb. 2011: 2010 IEEE Signal Processing Society - Best Paper Award (KernelRegression for Image Processing and Reconstruction, in IEEE Transactions on Image Processing). Nov. 2010: PhD Student Stephanie Chiu received $80,000ChambersFellowship Oct. 2010: PhD Student Stephanie Chiu received 3rd prize for bestposter at the AnnualMeeting of theFitzpatrick Institute for Photonics June 2010: PhD Student Stephanie Chiu received First prize for outstanding research at the annual Duke Ophthalmology Trainee day Scientific Symposium. Apr. 2010: PhD Student Rolando Estrada receivedAFER/Retina Research Foundation Student Travel Awardfor hisARVOabstract. AVAILABLE POSITIONS Emails without appropriate codes may directly go to my SPAM box! 2018 PhD Student Applicants: I expect to recruit one BMEPhD student with interests in image processing/photonics/ophthalmology related projects (I will also consider exceptional CompSci PhD student). l will only recruit students with exceptionally high achievements during undergraduate studies as evident by GPA from highly selective undergrad schools and/or high-impact peer-reviewed publications. US residents with minimum 3.6GPA from a top US school may contact me directly via email (please type the code "USGS-2018" in the subject of your email). International students: I receive hundreds of inquiries from students interested in joining my group, thus I maybe unable to answer each person individually. You are certainly welcome to contact me only if you have "already" submitted your application to Duke. In that case, please let me know that you are interested in working with me and I will look at your full application at Duke's website. Exception is for the international students with financial aid from their own country. I will review their CV in PDF format before applying to Duke (please type the code "i-USGS-2018" in the subject of your email). Current Duke Undergraduate/Graduate Students: Current Duke students(BME, EE, CE, or CS)interested in image processing/ophthalmology related projectscancontact me directly via email (please type the code "i-MSGS-2018" if you are an MS and "i-DUS-2018" if you are an undergrad in the subject of your email). Duke's 3rd Year Medical Students: Medical students interested in participating in ophthalmic imaging related projects may contact me directly. Please send me an email (please type the code "DMS-2018" in the subject of your email). Postdoctoral Research Associate #1: The minimum requirement is multiple first-authored high-quality image-processing journal publications (e.g. papers in IEEE TIP, CVPR/ICCV, IEEE PAMI, and Biomedical Optics Express ) in the past three years. I am mainly interested in image analysis/segmentation expertise, esepcially deep learning. You must have a GoogleScholar page before applying for this position. Please type the code "PD-2017" in the subject of your email. Postdoctoral Research Associate #2: Applicants with optical/photonics design expertise especially in the field of ophthalmic adaptive optics imaging are welcome to apply for a postdoc position jointly with Prof. Joseph A. Izatt . Please type the code "PD-2017" in the subject of your email. OUR LAB IS FUNDED BY: diff --git a/src/data/compiled_bios/156.txt b/src/data/compiled_bios/156.txt new file mode 100644 index 0000000000..35d6d6cfac --- /dev/null +++ b/src/data/compiled_bios/156.txt @@ -0,0 +1 @@ + Home People Research Videos Publications Undergrad Research Library Renewable Energy Analysis Lab About the REAL Lab Our research focuses on how to build a smart grid that will maximize the amount of energy produced from renewable energy sources at a reasonable cost while maintaining the reliability of the electricity supply at the level to which we have grown accustomed. From Sweden to South Africa and from China to California, governments are encouraging the development of renewable sources of electrical energy. Many of these governments are taking measures to reduce the use of fossil fuels for transportation and heating and are thus likely to increase the proportion of energy that is consumed in electrical form. Accommodating these changes in the generation and consumption of electricity will require a fundamental rethinking in the design and operation of the power grid. A consensus is emerging that many of these challenges could and should be met primarily through the development of a "smart grid" rather than simply building more generating plants and more transmission lines. Recently, we have also focused our research on the resilience of the grid to natural disasters. In particular, we are investigating the following questions: How should repair crews be optimally dispatched in the aftermath of a disaster to minimize the harm done to a community by the absence of electricity? How should a grid be hardened or restructured to minimize the effects of a natural disaster? In this context, researchers from the ReaLab have participated in a project aimed at installing emergency solar + battery nanogrids in Puerto Rico in the aftermath of Hurricane Maria, with more details in the coverage . Recent Updates November, 2018. Prof. Kirschen discusses electricity market reform with the Coordinator Electrico Nacional - Chilean Independent System Operator. October, 2018. Group photo! And the guy who hid in the back is... September, 2018. Welcome new graduate student, Nina Vincent, Daniel Tabas, Lane Smith, Jackie Baum and visting professor Kjetil Uhlen! August, 2018. The second edition of Prof. Kirschen's book "Fundamentals of Power System Economics" is available on Wiley and Amazon ! Teaching slides for this book can be found here and videos here . June, 2018. REALab graduates Bolun, Jesus and Pan at the EE graduation ceremony. June, 2018. PhD student Bolun Xu (soon to be Dr. Bolun Xu) receives the University of Washington Clean Energy Institute's Scientific Achievement Award. May, 2018. REALab researchers Chanaka Keerthisinghe and Mareldi Ahumada contribute to the recovery of Puerto Rico after hurricane Maria . May, 2018. Undergraduate students Nathan Hills, Kamil Jiwa, Jerome George Paliakkara, and Yuxuan Chen (L-R) presented a poster describing their research project at UW's Undergraduate Research Symposium. May, 2018. Daniel Kirschen and Baosen Zhang gave presentations at a joint research symposium with Tsinghua University in Beijing Sep-Dec 2017. Daniel Olsen visits Tsinghua University. He conducts research with Professors Kang and Zhang on hot pot and low-carbon campus energy hub design. Nov, 2017. Welcome our new baby visitor! Jun, 2017. REAL congratulates four most recent graduates: Yishen Wang(Ph.D.), Zeyu Wang(Ph.D.), Anna Edwards (M.Sc.), Kevin Morrissey (M.Sc.), and Ryan Hay (M.Sc.)! Oct, 2016. Group meeting, in which Bolun is presenting his research during summer internship in ISO New England. Oct, 2016. Group Photo! Sep 2016. REAL welcomes a new graduate student, Yao Long (Ph.D.) and a visitor, Professor Jinjiang Zhang. June 2016. REAL congratulates four most recent graduates: Mushfiqur Sarker(Ph.D.), Yury Dvorkin (Ph.D.), Anna Edwards (M.Sc.), Kelly Kozdras (M.Sc.), and James Miller (M.Sc.)! Oct, 2016. Ricardo's farewell dinner at the Taste of India. May 2016. REAL welcomes a new visitor - Victoria Guerrero Mestre, a Ph.D. student at the University of Castilla-La Mancha! January 2016. Master's Student Kelly Kozdras Featured in Wogrammer, which breaks down stereotypes about engineers. Read UWEE's release and Wogrammer's article . September 2015. REAL welcomes two new visitors - Jingkun Liu (a Ph.D. student at Thsinghua University) and Kenneth Brunnix (a Ph.D. student at KU Leuven). September 2015. REAL welcomes new graduate students: Ryan Elliot (Ph.D.) and Kevin Morrissey (M.Sc.). September 2015. REAL's undergraduate researchers Phillippe Phanivong and Josh Monson won the poster contest at the symposium titled "Transforming the Future: A Symposium on the Science and Technology of Energy Storage in the Pacific Northwest". More information. September 2015. REAL just hosted the Seminar for the Next Generation of Researchers in Power Systems. The program and slides are available here . July 2015. Congratualtions to new mother Ting Qiu, REAL's Ph.D. student, and her little boy Darren! June 2015. REAL's Ph.D. students Yishen Wang, Yushi Tan and Zeyu Wang will spend this summer interning at Argonne National Laboratory. June 2015. REAL congratulates four most recent graduates: Ahlmahz Negash (Ph.D.), Agustina Gonzalez (M.Sc.), Drew LaQua (M.Sc.), and Rebecca Breeding (M.Sc.)! July 2014. Ahlmahz Negash received the prize paper award in the category "Best Conference Papers on Markets, Economics, and Planning" at the IEEE 2014 Power and Energy Society General Meeting held in National Harbor, MD. Her paper is titled "Optimizing Demand Response Price and Quantity in Wholesale Energy Markets." May 2014. Ahlmahz Negash wins 2nd place prize for "Best Paper Submitted by PhD Student" at 11th International Conference on the European Energy Market, Krakow, Poland. Her paper is titled "Compensation of Demand Response in Competitive Wholesale Markets vs. Retail Incentives". December, 2013. Four REAL's students recevied fellowships from the Clean Energy Institute . More information . September, 2013. Start of the new academic year at the REAL lab. This year the REAL lab welcomes 10 new visiting and permament graduate students and scholars. April 15, 2013. Yury Dvorkin, a Ph.D. student in the REAL lab, was awarded the IEEE student housing scholarship for the IEEE Power and Energy Society General Meeting in Vancouver, BC. April 4, 2013. Mushfiqur Sarker, a Ph.D. student in the REAL lab, won the first prize of the EEIC poster contest, hosted by the department of EE. More information. April, 2013. The REAL lab is glad to welcome Abeer Almaimoumi, a new Ph.D. student. February 26, 2013. Professor Gabriela Hug gave a presentation "Distributed Control in Electric Power Systems: Methods and Applications". Watch the lecture here . February 12, 2013. Ben Kujala, an Operations Research Analyst at BPA , delivered a talk on the recent study: "Planning in a Cascading Hydro System with Significant Wind Penetration" October 8, 2012. The collaborative proposal "Architectural and Algorithmic Solutions for Large-Scale PEV Integration into Power Grids" submitted to NFS with colleagues from University of Notre Dame and University of Pennsylvania has been funded. September 21, 2012 . Today the REAL lab welcomes Mushfiq Sarker, a new Ph.D. student. September 10, 2012 .Today the REAL lab welcomes Zeyu Wang, a new graduate student, coming from China. September 4, 2012 . Prof. Miguel Ortega-Vazquez delivered a talk on his recent research: "Electric Vehicles Aggregator/System Operator Coordination for Optimal Charging Scheduling and Services Procurement" at "Redes Modernas de Suministro Electrico" in Morelia, Mexico July 3, 2012 . Dr. Hrvoje Pandzic delivered a talk on his PhD dissertation: "Maintenance Scheduling of Transmission Lines and Generating Units within a Market Environment" . June 5, 2012 . Marco Au defended his master thesis entitled "Assessment of Plug-In Electric Vehicles Charging on Distribution Networks" . UW will host the IEEE - Northwest Energy Systems Symposium on March 21-22, 2012. More information Professor Daniel Kirschen has been awarded a $1.4m grant from the Department of Energy 's Advanced Research Projects Agency-Energy (ARPA-E), Green Electricity Network Integration (GENI) for a project entitled " Energy Positioning: Control and Economics ". More information The Washington Center for Electrical Energy Systems will hold the symposium on Electrical Energy Research and Commercialization on Jun 15, 2011. More information diff --git a/src/data/compiled_bios/1560.txt b/src/data/compiled_bios/1560.txt new file mode 100644 index 0000000000..f09c568a66 --- /dev/null +++ b/src/data/compiled_bios/1560.txt @@ -0,0 +1 @@ + Jeffrey R.N. Forbes Associate Professor of the Practice Department of Computer Science Duke University Home Schedule Teaching Projects Publications Life I have been on the faculty of Computer Science at Duke since 2001. I received my Ph.D. in Computer Science from the University of California, Berkeley and my B.S. in Computer Science from Stanford University. From 2011-2014, I served as a Program Director for the Education & Workforce program in the National Science Foundation's Directorate for Computer & Information Science & Engineering. From 2014-2017, I served as an Associate Dean of Trinity College of Arts and Sciences . My interests include computer science education, social information processing, and learning analytics. For more information, please see my CV . Contact Information Office : D235 Levine Science Research Center Office Hours : By appointment Phone : +1 (919) 660-6550 Fax : +1 (919) 660-6519 E-mail : Click here PGP Fingerprint : C78C 7BD1 1139 BAFF AC57 DD57 9619 D279 2E0C 14FD This work is licensed under a Creative Commons Attribution 3.0 License . Last updated Wed Aug 01 18:07:15 EDT 2018 diff --git a/src/data/compiled_bios/1561.txt b/src/data/compiled_bios/1561.txt new file mode 100644 index 0000000000..dffd987bb8 --- /dev/null +++ b/src/data/compiled_bios/1561.txt @@ -0,0 +1 @@ + Home Research Publications Teaching I am now an assistant professor at the Computer Science Department of Duke University . I got my Ph.D. from the Computer Science Department of Princeton University . My advisor is Sanjeev Arora . I was a post-doc at Microsoft Research, New England . News I'll be giving a tutorial on optimizatoin landscape in MIFODS bootcamp on nonconvex optimization and deep learning. New papers at NeurIPS 2018, SODA 2019, ICLR 2019 updated. Slides for the STOC 2018 Deep Learning workshop are now online! My Research I am broadly interested in theoretical computer science and machine learning. Modern machine learning algorithms such as deep learning try to automatically learn useful hidden representations of the data. How can we formalize hidden structures in the data, and how do we design efficient algorithms to find them? My research aims to answer these questions by studying problems that arise in analyzing text, images and other forms of data, using techniques such as non-convex optimization and tensor decompositions. See the Research page for more details. My thesis: Provable Algorithms for Machine Learning Problems Selected Publications How to Escape Saddle Points Efficiently with Chi Jin, Praneeth Netrapalli, Sham M. Kakade, Michael I. Jordan. In ICML 2017 . This paper shows that a perturbed form of gradient descent converges to a second-order stationary point in a number iterations which depends only poly-logarithmically on dimension (i.e., it is almost "dimension-free"). The convergence rate of this procedure matches the well-known convergence rate of gradient descent to first-order stationary points, up to log factors. When all saddle points are non-degenerate, all second-order stationary points are local minima, and our result thus shows that perturbed gradient descent can escape saddle points almost for free. Our results can be directly applied to many machine learning applications, including deep learning. As a particular concrete example of such an application, we show that our results can be used directly to establish sharp global convergence rates for matrix factorization. Our results rely on a novel characterization of the geometry around saddle points, which may be of independent interest to the non-convex optimization community. Matrix Completion has No Spurious Local Minimum with Jason D. Lee and Tengyu Ma. In NIPS 2016 . Best Student Paper. Matrix completion is a basic machine learning problem that has wide applications, especially in collaborative filtering and recommender systems. Simple non-convex optimization algorithms are popular and effective in practice. Despite recent progress in proving various non-convex algorithms converge from a good initial point, it remains unclear why random or arbitrary initialization suffices in practice. We prove that the commonly used non-convex objective function for matrix completion has no spurious local minima -- all local minima must also be global. Therefore, many popular optimization algorithms such as (stochastic) gradient descent can provably solve matrix completion with arbitrary initialization in polynomial time. A Practical Algorithm for Topic Modeling with Provable Guarantees with Sanjeev Arora, Yoni Halpern, David Mimno, Ankur Moitra, David Sontag, Yichen Wu, Michael Zhu, in ICML 2013 Topic models provide a useful method for dimensionality reduction and exploratory data analysis in large text corpora. Most approaches to topic model inference have been based on a maximum likelihood objective. Efficient algorithms exist that approximate this objective, but they have no provable guarantees. Recently, algorithms have been introduced that provide provable bounds, but these algorithms are not practical because they are inefficient and not robust to violations of model assumptions. In this paper we present an algorithm for topic model inference that is both provable and practical. The algorithm produces results comparable to the best MCMC implementations while running orders of magnitude faster. Tensor decompositions for learning latent variable models with Anima Anandkumar, Daniel Hsu, Sham M. Kakade, Matus Telgarsky. In JMLR Vol 15. This work considers a computationally and statistically efficient parameter estimation method for a wide class of latent variable models|including Gaussian mixture models, hidden Markov models, and latent Dirichlet allocation|which exploits a certain tensor structure in their loworder observable moments (typically, of second- and third-order). Specifically, parameter estimation is reduced to the problem of extracting a certain (orthogonal) decomposition of a symmetric tensor derived from the moments; this decomposition can be viewed as a natural generalization of the singular value decomposition for matrices. Although tensor decompositions are generally intractable to compute, the decomposition of these specially structured tensors can be efficiently obtained by a variety of approaches, including power iterations and maximization approaches (similar to the case of matrices). A detailed analysis of a robust tensor power method is provided, establishing an analogue of Wedin's perturbation theorem for the singular vectors of matrices. This implies a robust and computationally tractable estimation approach for several popular latent variable models. Workshops STOC2017 , STOC2018 Contact Email: rongge AT cs DOT duke DOT edu Tel: +1 (919) 660-7330 Mail: Duke University Campus Box 90129 308 Research Drive (LSRC Building) Room D226 Durham, NC 27708 USA diff --git a/src/data/compiled_bios/1562.txt b/src/data/compiled_bios/1562.txt new file mode 100644 index 0000000000..fdbfe86525 --- /dev/null +++ b/src/data/compiled_bios/1562.txt @@ -0,0 +1 @@ + HOME PEOPLE RESEARCH DATA & TOOLS PUBLICATIONS OPPORTUNITIES CONTACT HOME PEOPLE RESEARCH DATA & TOOLS PUBLICATIONS OPPORTUNITIES CONTACT HOME Jed Ostrom 2018-06-19T20:18:50+00:00 We study paralogous factors with similar motifs, but different genomic targets and regulatory roles We use gcPBM assays to identify differences in DNA-binding specificity between paralogous transcription factors We use weighted regression to model differential specificity of paralogous TFs Check out our web server: http://imads.genome.duke.edu We find that differences in intrinsic specificity partly explain differential in vivo binding We develop quantitative models of TF-DNA binding based on sequence and shape features We develop methods to predict the effects of non-coding genetic variants on TF binding and gene expression Welcome to the Gordan Lab Wedevelop quantitative computational and experimental approaches to identify and characterize transcriptional regulatory regions in the human genome. We combine machine learning techniques and high-throughput assays. Focusing on transcription factors (TFs) that control cell proliferation and differentiation, our goals are to understand: (1) how these regulatory proteins interact with each other to select their unique targets across the genome, and (2) how this regulation is disrupted in diseased cells due to non-coding mutations and TF overexpression. Learn more Check out our new iMADS web server. It includes quantitative models of specificity and differential specificity for human TFs, easy-to-access genome-wide predictions, and an online tool to make predictions for custom sequences. Feedback is always welcome: imads@duke.edu . Enjoy! News: June 2018: Harshit Sahay joins our lab. Welcome! June 2018: Zack is accepted (with scholarship) to the CSHL course Statistical Methods for Functional Genomics . Congratulations! May 2018: This summer our lab will be hosting three undergraduate students: ChristinaMagana-Ramirez (from Cal State Monterey Bay), Anna Darwish (Duke), and Ian Bunner (USC). Welcome! May 2018: Yuze Hou joins our lab. Welcome! May 2018: Ariels abstract on his latest mismatch results is accepted for oral presentation at Genome Biophysics: Integrating Genomics and Biophysics to Understand Structural and Functional Aspects of Genomes . Congratulations! May 2018: Our lab has 2 abstracts accepted for oral presentation at ISMB 2018 ! Congratulation to Ariel, Ning, Jingkang, and Yuning! May 2018: Yuning is accepted (with scholarship) to the CSHL course Chromatin, Epigenetics & Gene Expression . Congratulations! Mar 2018: Our paper on divergence in specificity among paralogous TFs is official out: http://www.cell.com/cell-systems/fulltext/S2405-4712(18)30062-0 Congratulations! Mar 2018: Dinesh successful defends his PhD thesis. Congratulations, Dr. Manandhar! Feb 2018:Zack Mielko joins our lab. Welcome! Nov 2017:Jingkang and Doras paper on Quantifying the impact of non-coding variants on transcription factor-DNA binding was selected for the Top 10 Papers reading list at RECOMB Regulatory and Systems Genomics. Congratulations! April 2017: Yuning Zhang joins our lab. Welcome! Feb 2017: Anne Marie receives Foerster-Bernstein Postdoctoral Fellowship. Congratulations! Dec 2016: Jingkang and Doras paper on Quantifying the impact of non-coding variants on transcription factor-DNA binding was accepted for publication and oral presentation at RECOMB 2017 Nov 2016: Jingkang gives oral presentation at RECOMB Regulatory and Systems Genomics 2016 Oct 2016: Raluca receives Holland-Trice award for high risk/high impact discovery research in brain and disease (collaboration with Dr. Ornit Chiba-Falek, Department of Neurology, Duke University School of Medicine) Sep 2016: Jingkang gives oral presentation at AISC 2016 Jul 2016: Ning gives oral and poster presentations, and wins Best Poster award at ISMB SIG Regulatory and Systems Genomics 2016 . Congratulations! Jul 2016: Dinesh gives poster presentation at ISMB 2016 Jul 2016: Raluca gives oral presentation at CSHL Banbury meeting Measuring and modeling quantitative sequence-function relationships Apr 2016: Ning successfully defends her PhD! Congratulations! Nov 2015: Ariel receives IDT postdoctoral fellowship! Congratulations! Go to Top diff --git a/src/data/compiled_bios/1563.txt b/src/data/compiled_bios/1563.txt new file mode 100644 index 0000000000..9b72d1eda3 --- /dev/null +++ b/src/data/compiled_bios/1563.txt @@ -0,0 +1 @@ + Welcome Welcome Publications Teaching Students Software CV Personal Welcome! I am a Professor of Computer Science and Biology at Duke University . I am the faculty director of the Office of Undergraduate Scholars and Fellows , I previously directed the Graduate Program in Computational Biology and Bioinformatics , and I am an active member of the Center for Genomic and Computational Biology . I have been at Duke since September 2001, when I received my Ph.D. from the Department of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology under the supervision of David Gifford , Tommi Jaakkola , and Rick Young . My research interest is the development of new algorithms in statistical machine learning and artificial intelligence, and on the application of those methods to complex problems in computational genomics. Specific application areas include regulatory genomics and systems biology, although I am also interested in other domains. Current high-level projects include: discovering principles and mapping networks of transcriptional regulation, understanding the role of chromatin organization in enacting this regulation, and revealing the mechanisms that control dynamic cellular processes, like the eukaryotic cell cycle. I have also done earlier work in: reconstructing accurate protein-protein and domain-domain interaction networks, understanding how information flows in the brain during sensory processing and learning tasks, identifying imprinted genes, their regulatory mechanisms, and their implications for disease, and improving the diagnosis and treatment of disease using high-throughput clinical data. Although these problems are quite diverse, a number of common themes appear repeatedly throughout my work: probabilistic representations, Bayesian statistics, fusion of information from multiple sources, optimization of joint objective functions, and learning in high-dimensional spaces without over-fitting. Many of these themes are variations on two simple ideas: careful attention to biology in the development of statistical models and the use of informative Bayesian priors to both regularize and guide automated learning. Contact Information Prof. Alexander J. Hartemink Duke University Department of Computer Science mailing address: Computer Science, Box 90129, Durham NC 27708-0129 package address: 308 Research Drive, LSRC D239, Durham NC 27708 office location: LSRC Building , Room D239 tel: (919) 660-6514 fax: (919) 660-6519 email: amink at cs.duke.edu This page last modified on 16 Aug 2018. diff --git a/src/data/compiled_bios/1564.txt b/src/data/compiled_bios/1564.txt new file mode 100644 index 0000000000..1a45359080 --- /dev/null +++ b/src/data/compiled_bios/1564.txt @@ -0,0 +1 @@ + Katherine A. Heller Department of Statistical science Home Teaching CV Papers Links Contact Duke University 223B Old Chemistry Durham, NC 27708 Phone: (919) 684-3437 Email: kheller@stat.duke.edu Katherine is an Assistant Professor at Duke University , in the Department of Statistical Science and at the Center for Cognitive Neuroscience . Prior to joining Duke she was an NSF Postdoctoral Fellow, in the Computational Cognitive Science group at MIT , and an EPSRC Postdoctoral Fellow at the University of Cambridge . Her Ph.D. is from the Gatsby Unit , where her advisor was Zoubin Ghahramani . Katherine's research interests lie in the fields of machine learning and Bayesian statistics. Specifically, she develops new methods and models to discover latent structure in data, including cluster structure, using Bayesian nonparametrics, hierarchical Bayes, techniques for Bayesian model comparison, and other Bayesian statistical methods. She applies these methods to problems in the brain and cognitive sciences, where she strives to model human behavior, including human categorization and human social interactions. diff --git a/src/data/compiled_bios/1565.txt b/src/data/compiled_bios/1565.txt new file mode 100644 index 0000000000..c7b3ed862a --- /dev/null +++ b/src/data/compiled_bios/1565.txt @@ -0,0 +1 @@ + Search form Search Home Teaching ECE 458 ECE 551 ECE 553 ECE 590: ERSS All of Programming Coursera Courses and Specializations Research Overview Collaborators Programs Duke ECE Graduate Program Duke ECE MEng Profile Contact Alumni Prospective Students Jump to navigation Duke University Pratt School of Engineering Andrew Hilton Research & Education Search form Search Home Teaching ECE 458 ECE 551 ECE 553 ECE 590: ERSS All of Programming Coursera Courses and Specializations Research Overview Collaborators Programs Duke ECE Graduate Program Duke ECE MEng Profile Contact Prospective Students Programming Education and Hardware Architecture Research I am an Associate Professor of the Practice in the Electrical and Computer Engineering Department at Duke University. My primary job is to teach classes in computer engineering---specifically, programming, software engineering, architecture, and system software. My research area is in computer architecture, including security, performance, and energy-efficiency. My CV is available here . All of Programming All of Programming is the course textbook for ECE 551. This book teaches programming from the ground up, using pedagogy developed over many years. The book teaches important skills in programming: how to approach a problem and how to understand the semantics (meaning) of code. These techniques are used throughout, with video examples showing how to develop code, or how to understand the execution of code. The book is available in ebook format only (due to the embedded videos) from Google Play. Duke University Andrew Hilton Research & Education Contact Us Affiliations Duke Electrical and Computer Engineering Duke ECE Graduate Studies Pratt Engineering 2011-2019 DUKE UNIVERSITY 2019 Duke University | Contact Us Pratt Engineering diff --git a/src/data/compiled_bios/1566.txt b/src/data/compiled_bios/1566.txt new file mode 100644 index 0000000000..240556ab04 --- /dev/null +++ b/src/data/compiled_bios/1566.txt @@ -0,0 +1 @@ + search Main Menu Undergraduate Overview Degree Programs BSE Degree Planning Areas of Concentration Minor in ECE 4+1: BSE+Master's Degree For Applicants Why ECE? Why Duke? 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Compare Our Degrees How to Apply PhD Master's Degrees Certificates & Training Programs Online Courses Graduate Courses For Current Students Diversity & Inclusion Research Overview Computer Engineering Engineering Physics Microelectronics, Photonics and Nanotechnology Signal and Information Processing and Robotics Centers and Labs Faculty All Faculty Computer Engineering Faculty Engineering Physics Faculty Microelectronics, Photonics and Nanotechnology Faculty Signal and Information Processing Faculty Awards & Recognition About From the Chair Facts & Stats Mission and Vision Alumni Profiles Driving Directions News Events Jungsang Kim Professor in the Department of Electrical and Computer Engineering Jungsang Kim leads the Multifunctional Integrated Systems Technology group at Duke University. His main area of current research is quantum information sciences, where his group uses trapped atomic ions and a range of photonics technologies in an effort to construct a scalable quantum information processors and quantum communication networks. His research focuses on introduction of new technologies, such as micro fabricated ion traps, optical micro-electromechanical systems, advanced single photon detectors, compact cryogenics and vacuum technologies, towards a functional integration of quantum information processing systems. Appointments and Affiliations Professor in the Department of Electrical and Computer Engineering Professor of Physics Contact Information Office Location: Fciemas 2519, Durham, NC 27708 Office Phone: (919) 660-5258 Email Address: jungsang@ee.duke.edu Websites: Multifunctional Integrated Systems Technology Group Research Interests Quantum Computing with Trapped Ions, Quantum Information Science, Novel Photonic Devices, Application of Quantum Computers Courses Taught ECE 523: Quantum Information Science ECE 722: Quantum Electronics PHYSICS 791: SPECIAL READINGS In the News Duke to Lead $15 Million Program to Create First Practical Quantum Computer (Aug 7, 2018 | Pratt School of Engineering) Venture Firms Back Startup with Novel Twist on Quantum Computing (Jul 26, 2017 | The Wall Street Journal) From the Abacus to Supercomputers to Quantum Computers (Jun 12, 2017 | Pratt School of Engineering) Photonics Researchers Continue Steps Toward's World's First Quantum Computer (Feb 12, 2016) Grant Targets Quantum Computings Error Control Challenge (Jan 6, 2016) Pratt Engineers Awarded Four Department of Defense Grants (Jun 18, 2013) Representative Publications Cahall, C; Nicolich, KL; Islam, NT; Lafyatis, GP; Miller, AJ; Gauthier, DJ; Kim, J, Photon-Number Resolution in Conventional Superconducting Nanowire Single-photon Detectors: Experimental Demonstration , 2018 Conference on Lasers and Electro Optics, Cleo 2018 Proceedings (2018) [ abs ]. Nicolich, KL; Cahall, C; Islam, NT; Lafyatis, GP; Kim, J; Gauthier, DJ, Photon-Number Resolution in Conventional Superconducting Nanowire Single-Photon Detectors: Theoretical Predictions , 2018 Conference on Lasers and Electro Optics, Cleo 2018 Proceedings (2018) [ abs ]. Islam, NT; Lim, CCW; Cahall, C; Qi, B; Kim, J; Gauthier, DJ, High-rate Time-bin Quantum Key Distribution Using Quantum-controlled Measurement , 2018 Conference on Lasers and Electro Optics, Cleo 2018 Proceedings (2018) [ abs ]. Aragoneses, A; Islam, NT; Eggleston, M; Lezama, A; Kim, J; Gauthier, DJ, Bounding the outcome of a two-photon interference measurement using weak coherent states. , Optics Letters, vol 43 no. 16 (2018), pp. 3806-3809 [ 10.1364/ol.43.003806 ] [ abs ]. Cahall, C; Gauthier, DJ; Kim, J, Scalable cryogenic readout circuit for a superconducting nanowire single-photon detector system. , Review of Scientific Instruments, vol 89 no. 6 (2018) [ 10.1063/1.5018179 ] [ abs ]. Additional Information Complete List of Representative Publications Faculty All Faculty Computer Engineering Faculty Engineering Physics Faculty Microelectronics, Photonics and Nanotechnology Faculty Signal and Information Processing Faculty Awards & Recognition Copyright 2011-2019 Duke University diff --git a/src/data/compiled_bios/1567.txt b/src/data/compiled_bios/1567.txt new file mode 100644 index 0000000000..27cb31f527 --- /dev/null +++ b/src/data/compiled_bios/1567.txt @@ -0,0 +1 @@ + Skip to content Alvin R. Lebeck Professor of Computer Science and Electrical and Computer Engineering, co-founder Phitonex Menu Research Publications Teaching Students Professional Bio & CV Contact News Scroll down to content Home Hello web surfers, welcome to my corner of the internet. I carry out research and teach in the general area of computer architecture, but I have interests in nearly all computer systems related topics. My research spans from atoms to data centers. Check out Computer Architecture Today the ACM SIGARCH Blog. News Eurosys 19 paper accepted Ramin and Mike Pass PhD Preliminary Exams Participating in Intels Probabilistic Computing Center Welcome New Lab Members! Program Co-Chair for ASPLOS 2019 Proudly powered by WordPress Duke University Alvin R. Lebeck is powered by WordPress at Duke WordPress Sites . Please read the Duke Wordpress Policies . Contact the Duke WordPress team . diff --git a/src/data/compiled_bios/1568.txt b/src/data/compiled_bios/1568.txt new file mode 100644 index 0000000000..18e1ad92b6 --- /dev/null +++ b/src/data/compiled_bios/1568.txt @@ -0,0 +1 @@ + Benjamin C. Lee The BCL Research Group Pratt School of Engineering Duke University Benjamin C. Lee Curriculum Vitae Research People Publications Software Sponsors Teaching News Benjamin C. Lee Biographical Sketch Honors & Awards Service Contact Associate Professor Electrical and Computer Engineering Computer Science Computer Architecture Computer Science and Economics Duke Energy Initiative Biographical Sketch Benjamin Lee is an Associate Professor of Electrical and Computer Engineering in the Pratt School of Engineering at Duke University . His research focuses on computer architecture, energy efficiency, and security. He build interdisciplinary links to statistical inference and algorithmic economics to better design and manage computer systems. Dr. Lee received his B.S. in Electrical Engineering and Computer Science from the University of California at Berkeley , his S.M. and Ph.D. in Computer Science from Harvard University , and his post-doctorate in Electrical Engineering at Stanford University . He has held visiting research positions at Microsoft Research , Intel Corporation , and Lawrence Livermore National Laboratory . Honors & Awards 2019 CACM Research Highlight 2018 Duke Dean's Award for Excellence in Mentoring Nominee 2018 Duke Celebrating Mentors Honoree 2018 HPCA Best Paper Award 2018 HPCA Hall of Fame 2018 ISPASS Best Paper Award 2017 Duke ECE Outstanding PhD Dissertation 2016 ASPLOS Best Paper Award 2016 IEEE Micro Top Picks, Honorable Mentions 2014 IEEE Micro Top Picks 2013 Duke Nortel Networks Professorship 2012 NSF CAREER Award 2011 Google Faculty Research Award. 2011 CACM Research Highlight 2010 CACM Research Highlight 2009 IEEE Micro Top Picks 2009 NSF Computing Innovation Fellowship 2008 MICRO Best Paper Nomination 2008 Harvard Nominee, ACM Doctoral Dissertation Award 2008 Invited Participant, St. Gallen Symposium 2007 Invited Participant, St. Gallen Symposium 2006 SC Student Research Competition Winner 2004 Harvard Engineering & Applied Sciences Fellowship 2004 ICPP Best Paper 2002 SC Best Student Paper Finalist 2000 National Merit Scholarship Service Member Institute of Electrical and Electronics Engineers Association for Computing Machinery Society for Industrial and Applied Mathematics American Association for the Advancement of Science Recent Program Committees ISCA 2019 Top Picks 2019 HPCA 2019 Recent University Service University Academic Programs Committee, 2017-20 President's Council on Black Affairs, 2016-19 Departmental Committee on Targets of Opportunity, 2017-. Benjamin C. Lee, Ph.D. Associate Professor Electrical and Computer Engineering Pratt School of Engineering Duke University 210 Hudson Hall, Box 90291 Durham, NC 27708 benjamin.c.lee@duke.edu +1 (919) 660-5043 diff --git a/src/data/compiled_bios/1569.txt b/src/data/compiled_bios/1569.txt new file mode 100644 index 0000000000..c1aac2d7a5 --- /dev/null +++ b/src/data/compiled_bios/1569.txt @@ -0,0 +1 @@ + Search form Search Home Research Neuromorphic Computing Machine Learning & Deep Neural Network Emerging Nonvolatile Memory & Logic Embedded and Mobile Systems People Current Members Alumni Publications News Contact Jump to navigation Duke University Pratt School of Engineering Center for Computational Evolutionary Intelligence Search form Search Home Research Neuromorphic Computing Machine Learning & Deep Neural Network Emerging Nonvolatile Memory & Logic Embedded and Mobile Systems People Current Members Alumni Publications News Contact Welcome Duke Center of Computational Evolutionary Intelligence (CEI) Lab, co-directed by Professor Yiran Chen and Professor Hai Li, explores theresearch frontiers in emerging computing platforms for cognitive applications. The focuses of the team include nano-electronic devices, emerging and bio-inspired computing architecture, storage system and sensing technology, display technology and human-machine interaction, security theory of nano-devices, embedded and mobile systems, and large-scale neural network acceleration. Recent News 2/14-15 Kick-off Meeting: Center for Alternative Sustainable and Intelligent Computing (ASIC) February 11, 2019 Event Date: Thu, 02/14/2019 (All day)toFri, 02/15/2019 (All day) news archive > Duke University Center for Computational Evolutionary Intelligence Contact Us Affiliations Duke Electrical and Computer Engineering Pratt Engineering 2011-2019 DUKE UNIVERSITY 2019 Duke University | Contact Us Pratt Engineering diff --git a/src/data/compiled_bios/157.txt b/src/data/compiled_bios/157.txt new file mode 100644 index 0000000000..6490c7a30f --- /dev/null +++ b/src/data/compiled_bios/157.txt @@ -0,0 +1 @@ + Klavins Lab Synthetic Biology Home People Publications Software Hardware Positions Multicellular Design Synthetic State Gene Circuit Characterization Protocols as Code Continuous Culture Self Organizing Systems About Eric Klavins, Professor The Klavins lab develops synthetic living systems, re-engineered organisms, and engineered parts for existing organisms. Our particular emphasis is on designing gene circuits and cell-cell communication systems that enable novel multicellular behaviors in bacteria or yeast. We take an engineering approach to this challenge, and are interested in the whole pathway from modeling and design of new systems to fabrication and testing of new living systems. TEDx: Programming Biology News 4/2018: Arjun Khakhar's paper on hormone responsive CRISPR transcription factors in plants, which he calls HACRs, has been published 10/2017: David Younger's new paper is now up on PNAS: High-throughput characterization of proteinprotein interactions by reprogramming yeast mating 6/2017: Our CRISPR/dCas9 paper was publlished in Nature Communications! 4/2017: New Paper on BioXRiv: A pre-zygotic barrier in yeast for engineering protein-protein interactions 11/2016: New Paper on BioXRiv: Synthetic Self-Destructive Altriuism 6/2016: Proud to announce the UW BIOFAB, an Aquarium-Enabled lab that will build your strains for you! 4/2016: Nick and Arjun highlighted in ACS Synthetic Biology and on the cover! 2/2016: Prof. Klavins has been promoted! He is now a Professor and not just an Associate Professor! 12/2015: Chris Takahashi defended his thesis! Congratulations Chris and we wish you luck in your future endeavors. Don't be a stranger! Open Positions We have positions available for postdoctoral scholars, graduate students, a programmer, a system administrator, and undergraduate assistants. See here for more information. Contact Info Address Klavins Lab University of Washington Campus Box 352500 Seattle, WA 98195 (206) 616-1743 Links UW BIOFAB Aquarium Electrical and Computer Engineering Computer Science and Engineering Bioengineering Center for Synthetic Biology #klavinslab diff --git a/src/data/compiled_bios/1570.txt b/src/data/compiled_bios/1570.txt new file mode 100644 index 0000000000..a1d016b643 --- /dev/null +++ b/src/data/compiled_bios/1570.txt @@ -0,0 +1 @@ + Welcome CV Courses Links Media Welcome Associate Professor of the Practice of Computer Science Associate Chair, Department of Computer Science Curriculum Director, Information Science and Information Studies Levine Science Research Center, Office D310 Box 90129, Duke University Durham, NC 27708-0129 USA Office Phone: (919) 660-6524, Fax: (919) 660-6519 email: lucic at cs.duke.edu Administrative Assistant: Pamela Spencer, (919) 660-6500 As Associate Chair, I am responsible for the Departments External Relations, Publications & Website, and Outreach efforts. These activities provide a framework to insure the relevance and quality of the Department's research and teaching, and generates the necessary funding for Duke Computer Science to compete effectively with other universities as a national resource for research contributions and the production of the highest quality graduates. In addition, the inDuke Industrial Partners Program (in collaboration with Electrical & Computer Engineering) provides a conduit to the corporate information sciences community to facilitate personal interactions and to provide for technical information exchange. I also serve as the Faculty Curriculum Director of the Information Science + Information Studies Program ( ISIS ). The mission of ISIS is to study and create new information technologies and to analyze their impact on art, culture, science, commerce, society, and the environment. RECENT ACTIVITIES ISIS Certificate Program - Our mission is to study and create new information technologies and to analyze their impact on art, culture, science, commerce, society, and the environment. Duke Online Discourse Project - Researching the trade offs between privacy and accountability ISIS Mapping - Geospatial mapping for community development and global health Zawadi Africa - The Zawadi Africa Education Fund is a program designed to provide scholarships to academically gifted girls from disadvantaged backgrounds from Africa to pursue higher education in the US. WISER - The Women's Institute for Secondary Education and Research, WISER, will be the first model all-girls secondary boarding school and community center in Muhuru Bay, Kenya. WISER is dedicated to fostering a spirit of intellectual enthusiasm that will challenge girls to lead, serve, and ultimately reduce the gender equality gap in Kenyan society. Build African Schools - dedicated to building schools, installing electric power and providing computers and other educational equipment for children in Africa. Virtual Peace Project - brings together digital learning technologies and international humanitarian assistance efforts. Students and educators enter an immersive, multi-sensory game-based environment that simulates real disaster relief and conflict resolution conditions in order to learn first-hand the necessary tools for sensitive and timely crisis response. The Elements of Effective Photographs - I'm teaching a photography-related continuing education course this spring at the Center for Documentary Studies at Duke University. The schedule is 6:30-8:30p, Wednesday evenings beginning Feb 1 through March 21, 2012. The course is titled The Elements of Effective Photographs and is for anyone interested in learning to make compelling digital images. No previous photographic skill level is presumed or required. . If you are in the Durham, NC vicinity and are interested, you can register at the link above. Richard Lucic 2012 RALucic diff --git a/src/data/compiled_bios/1571.txt b/src/data/compiled_bios/1571.txt new file mode 100644 index 0000000000..becefecb6a --- /dev/null +++ b/src/data/compiled_bios/1571.txt @@ -0,0 +1 @@ + Ashwin Machanavajjhala Associate Professor Director of Graduate Studies Department of Computer Science D329, Levine Research Science Building Duke University , Durham NC 27708 Phone: 919-660-6590 Email: firstname @cs.duke.edu Bio Publications (DBLP) Students Teaching Tutorials News: [Oct 2018] VLDB 2019: Our paper (with Xi, Johes and Jennie) titled " Shrinkwrap: Differentially-Private Query Processing in Private Data Federations " accepted! [Oct 2018] SIGMOD 2019: Xi's paper (with Chang Ge and Ihab Ilyas) titled "APEx: Accuracy-Aware Differentially Private Data Exploration" accepted! [Oct 2018] Check out blog post on " Privacy Challenges In The Post-GDPR World: A Data Management Perspective " with Amol Deshpande. [Sep 2018] PoPETS 2019: Nisarg's paper titled " Olympus: Sensor Privacy through Utility Aware Obfuscation " accepted! [Aug 2018] VLDB 2018: Two papers accepted (" Optimizing error of high-dimensional statistical queries under differential privacy " and " Differentially Private Hierarchical Group Size Estimation "). [June 2018] Congratulations to Xi He, who graduates with a PhD! Xi will be joining Univeristy of Waterloo as Assistant Professor, in Jan 2019. [May 2018] Congratulations to Yan Chen, who graduates with a PhD! Yan will be joining Google. [Apr 2018] I am teaching a new course on "Algorithms for Privacy and Fairness " in Fall 2018. [Apr 2018] I am incredibly honored and humbled to be selected as the 2017-2018 recipient of the David and Janet Vaughan Brooks Teaching Award by the Trinity College of Arts and Sciences, Duke University! [Mar 2018] SIGMOD 2018: Paper on " Ektelo: A Framework for Defining Differentially-Private Computations ", and demo on "IoT-Dectective: Analyzing IoT Data Under Differential Privacy" accepted! We have released Ektelo on Github. DPComp.org is live: explore differentially private algorithms and their performance. Openings: I am looking for post-docs . Selected Recent Papers: "PeGaSus Data-Adaptive Differentially Private Stream Processing ", with Yan Chen , Michael Hay and Gerome Miklau, ACM CCS 2017 " Composing Differential Privacy and Secure Computation ", with Xi He , Cheryl Flynn and Divesh Srivastava, ACM CCS 2017 " Utility Cost of Formal Privacy for Releasing National Employer-Employee Statistics ", with Samuel Haney, John Abowd, Matthew Graham, Mark Kutzbach, Lars Vihuber, SIGMOD 2017 Press [ Duke ] " Pythia: Data Dependent Differentially Private Algorithm Selection ", with Ios Kotsogiannis , Michael Hay and Gerome Miklau, SIGMOD 2017 " What You Mark is What Apps See ", with Nisarg Raval, Animesh Srivastava , Ali Razeen, Kiron Lebeck, Landon Cox, MOBISYS 2016 Press [ Duke ] Funding : DARPA Brandeis and SPAWAR N66001-15-C-4067: " System-P: A Data Analytics Engine With Customizable Privacy and Optimized Utility " NSF CIF21 DIBBs #1443014 : " An Integrated System for Public/Private Access to Large-Scale, Confidential Social Science Data " NSF TWC:Medium: Collaborative: #1408982 : " Re[DP]: Realistic Data Mining Under Differential Privacy " NSF CAREER Award #1253327 : "PROTEUS: A Practical and Rigorous Toolkit for Privacy" Short Bio: My primary research interests lie in privacy in data-analytics and smart-sensing systems . Previously, I was a Senior Research Scientist at Yahoo! Research. My thesis was awarded the 2009 SIGMOD Jim Gray Dissertation Award, Honorable Mention. Curriculum Vitae and full bio . Students & Postdocs: Yan Chen Xi He Ios Kotsogiannis Nisarg Raval Maryam Fanaeepour (postdoc) Alumni: Ben Stoddard (MS) (--> Google) Kiron Lebeck (BS) (--> PhD candidate at U Washington) Bharat Chelapalli (MS) (--> Amazon) Prospective Students: I am primarily interested statistical privacy , or the problem of disclosing aggregate statistics about data collected from individuals, while ensuring that individuals level sensitive properties are not disclosed. This problem appears in a number of diverse application settings including in the US Census, social networks, search logs, location tracking, etc. Read one of the following articles to get an idea of my research: ( ACM Crossroads article , no free lunch in privacy , CACM article , Blowfish privacy ). I am also interested in privacy of visual secrets in augmented reality systems -- an evergrowing threat due to the popularity of camera driven devices like smart phones and Google Glasses. Read this paper for an overview of our research. Teaching: "CompSci 290: Everything Data", co taught with Jun Yang , Spring 2015 , Spring 2014 "CompSci 590.03: Privacy in a Mobile-Social World", Fall 2016 , Fall 2013 , Fall 2012 "CompSci 590.02: Algorithms for Big Data", Fall 2015 , Spring 2013 Tutorials/Talks: "Differential Privacy in the Wild: A tutorial on current practices & open challenges", (with Xi He, Michael Hay), VLDB/SIGMOD 2017, Part 1 ( slides , video ), Part 2 ( slides , video ) "Entity Resolution", (with L. Getoor) KDD Conference Aug 2013 , Very Large Databases Conference, August 2012, AAAI Conference, August 2012 "Privacy in Data Publishing: Tutorial ( part I and part II )", (with J. Gehrke) IEEE ICDE 2010, IEEE Symposium on Security and Privacy, 2009 diff --git a/src/data/compiled_bios/1572.txt b/src/data/compiled_bios/1572.txt new file mode 100644 index 0000000000..12816a3238 --- /dev/null +++ b/src/data/compiled_bios/1572.txt @@ -0,0 +1 @@ + Bruce MacDowell Maggs Pelham Wilder Professor of Computer Science, Duke University Vice President, Research, Akamai Technologies Office: D324 Levine Science Research Center b CTRL-C mm is @ disabled cs for duke email edu Mailing Address: Department of Computer Science, Duke University P. O. Box 90129 Durham , NC 27708-0129 Research My research focuses on distributed systems, including content delivery networks, computer networks, and computer and network security. Advisees Waqar Aqeel PhD Candidate Ilker Nadi Bozkurt PhD, 2018 Bala Chandrasekaran PhD, 2016 Yin Lin PhD, 2014 Maverick Woo PhD, 2009 (with co-advisor Guy Blelloch ) Charlie Garrod PhD, 2008 (with co-advisor Chris Olston ) Amit Manjhi PhD, 2008 (with co-advisors Todd Mowry and Chris Olston ) Hal Burch PhD, 2006 (with co-advisor Gary Miller ) Shuheng Zhou PhD, 2006 (with co-advisor Greg Ganger ) Konstantin Andreev PhD, 2005 Kay Sripanidkulchai PhD, 2005 (with co-advisor Hui Zhang ) Claudson Bornstein PhD, 1998 (with co-advisor Gary Miller ) Andrea Richa PhD, 1998 Anja Feldmann PhD, 1995 (with co-advisor Danny Sleator ) Ramesh Sitaraman PhD, 1993 (advised by Bob Tarjan ) Teaching Duke, CPS 590.01 Computer Security Spring, 2018 Duke, CPS 290.01 Computer Security Fall, 2017 Duke, CPS 590.03 Computer Security Spring, 2017 More details on courses taught ... Publications Foundations of Differentially Oblivious Algorithms T.-H. H. Chan, K.-M. Chung, B. M. Maggs, and E. Shi [To appear in] Proceedings of the 30th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA) January 2019 Gearing up for the 21st century space race D. Bhattacherjee, W. Aqeel, I. N. Bozkurt, A. Aquirre, B. Chandrasekaran, P. B. Godfrey, G. Laughlin, B. Maggs, and A. Singla [To appear in] ACM Workshop on Hot Topics in Networks (HotNets) November 2018 Is the Web Ready for OCSP Must-Staple? T. Chung, J. Lok, B. Chandrasekaran, D. Choffnes, D. Levin, B. M. Maggs, A. Mislove, J. Rula, N. Sullivan, and C. Wilson Proceedings of the ACM Internet Measurement Conference 2018 (IMC) October 2018 Redesigning CDN-Broker Interactions for Improved Content Delivery Winner of Best Paper Award M. K. Mukerjee, I. N. Bozkurt, D. Ray, B. M. Maggs, S. Seshan, and H. Zhang Proceedings of the 13th ACM International Conference on emerging Networking EXperiments and Technologies (CoNEXT) December 2017 Complete list of publications ... Fun Asymmetric Wireless Networking (AWN) Mike's Visit to CMU Tom Leighton's Superbowl Humiliation Web Page The Adventures of CS Squad Versus the Evil Maggs-Neto by Daniel Maynes-Aminzade Quotes Web page by Bruce MacDowell Maggs is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License . diff --git a/src/data/compiled_bios/1573.txt b/src/data/compiled_bios/1573.txt new file mode 100644 index 0000000000..8fcea5bb94 --- /dev/null +++ b/src/data/compiled_bios/1573.txt @@ -0,0 +1 @@ +Search this site Kamesh's Webpage Menu Home Research Teaching Students Committees Misc Kamesh's Webpage Home Research Teaching Students Committees Misc More Home Research Teaching Students Committees Misc Kamesh Munagala Professor Computer Science Department Duke University . My research is in the general area of theoretical computer science, particularly the areas of Approximation Algorithms, Online Algorithms, and Algorithmic Game Theory. My recent focus has been on algorithms and markets for resource allocation , including topics in fair allocations, algorithmic pricing, scheduling theory, stochastic optimization, and social choice. My work is largely methodological, with applications to domains such as e-commerce, databases, data analysis, and social networks. I am part of the Algorithms group and the CS-Econ group . My CV Contact Information D205, Levine Science Research Center, 308 Research Drive, Durham NC 27708-0129. Phone: (919) 660-6598 Email address: @cs.duke.edu Made with the new GoogleSites , an effortless way to create beautifulsites. Create a site Report abuse diff --git a/src/data/compiled_bios/1574.txt b/src/data/compiled_bios/1574.txt new file mode 100644 index 0000000000..5640f19eb1 --- /dev/null +++ b/src/data/compiled_bios/1574.txt @@ -0,0 +1 @@ + Kartik Nayak kartik@cs.duke.edu I will join Duke University as an Assistant Professor starting Fall 2019. Presently, I am a postdoctoral researcher at VMware Research hosted by Dahlia Malkhi and Ittai Abraham. I graduated from the University Of Maryland, College Park under the supervision of Professor Jonathan Katz and Professor Elaine Shi . I am a recipient of the 2016 Google Ph.D. fellowship in Security. I work in the area of security, applied cryptography, distributed computing and blockchains. I am looking for Ph.D. students. If you are interested in working in security, applied cryptography and/or blockchains, please drop me an email and apply here . Publications and Tech Reports (* denotes author names in alphabetical order) Dfinity Consensus, Explored [TechReport] * Paper Ittai Abraham, Dahlia Malkhi, Kartik Nayak , and Ling Ren OptORAMa: Optimal Oblivious RAM * Paper Gilad Asharov, Ilan Komargodski, Wei-Kai Lin, Kartik Nayak , and Elaine Shi Oblivious Computation With Data Locality * Paper Accepted in Eurocrypt , 2019 Gilad Asharov, T-H. Hubert Chan, Kartik Nayak , Rafael Pass, Ling Ren, and Elaine Shi Synchronous Byzantine Agreement with Expected Rounds, Expected Communication, and Optimal Resilience * Paper | Older Version Accepted in Financial Cryptography and Data Security (FC), 2019 Ittai Abraham, Srinivas Devadas, Danny Dolev, Kartik Nayak , and Ling Ren More is Less: Perfectly Secure Oblivious Algorithms in the Multi-Server Setting * Paper Published in Asiacrypt , 2018 T-H. Hubert Chan, Jonathan Katz, Kartik Nayak , Antigoni Polychroniadou, and Elaine Shi Perfectly Secure Oblivious Parallel RAM * Paper Published in Theory of Cryptography Conference (TCC), 2018 T-H. Hubert Chan, Kartik Nayak , and Elaine Shi Solida: A Blockchain Protocol Based on Reconfigurable Byzantine Consensus * Paper Published in Principles of Distributed Systems (OPODIS), 2017 Ittai Abraham, Dahlia Malkhi, Kartik Nayak , Ling Ren, and Alexander Spiegelman Asymptotically Tight Bounds for Composing ORAM with PIR * Paper Published in Public Key Cryptography (PKC), 2017 Ittai Abraham, Christopher W. Fletcher, Kartik Nayak , Benny Pinkas, and Ling Ren HOP: Hardware makes Obfuscation Practical Paper | Code | Slides | Videos Published in Network and Distributed System Security (NDSS), 2017 Kartik Nayak , Christopher W. Fletcher, Ling Ren, Nishanth Chandran, Satya Lokam, Elaine Shi, and Vipul Goyal Stubborn Mining: Generalizing Selfish Mining and Combining with an Eclipse Attack Paper | Code | Slides Published in IEEE European Symposium on Security and Privacy (Euro S&P), 2016 Kartik Nayak , Srijan Kumar, Andrew Miller, and Elaine Shi GraphSC: Parallel Secure Computation Made Easy Paper | Code | Slides | Video Published in IEEE Symposium on Security and Privacy (S&P) , 2015 Kartik Nayak , Xiao Shaun Wang, Stratis Ioannidis, Udi Weinsberg, Nina Taft, and Elaine Shi ObliVM: A Programming Framework for Secure Computation Paper | Code Published in IEEE Symposium on Security and Privacy (S&P) , 2015 1st place in NYU-Poly CSAW Applied Security Research Best Paper Competition Chang Liu, Xiao Shaun Wang, Kartik Nayak , Yan Huang, and Elaine Shi Oblivious Data Structures Paper | Slides Published in ACM Conference on Computer and Communications Security (CCS) , 2014 Finalist in NYU-Poly CSAW Applied Security Research Best Paper Competition Xiao Shaun Wang, Kartik Nayak , Chang Liu, T-H Hubert Chan, Elaine Shi, Emil Stefanov, and Yan Huang An Oblivious Parallel RAM with Parallel Runtime Blowup [TechReport] Paper Kartik Nayak , Jonathan Katz Some Vulnerabilities are Different than Others: Studying Vulnerabilities and Attack Surfaces in the Wild Paper | Announcement | Slides | Video Published in Symposium on Research in Attacks, Intrusions and Defenses (RAID) , 2014 Kartik Nayak , Daniel Marino, Petros Efstathopoulos, and Tudor Dumitras Education Ph.D., Computer Science, University Of Maryland, College Park , September 2013 - June 2018 M.S., Computer Science, University Of Maryland, College Park , September 2013 - December 2016 B.Tech., Computer Science, Veermata Jijabai Technological Institute, Mumbai, July 2007 - May 2011 Work Experience Microsoft Research, Cambridge, UK, June - August 2017 Worked on scalable and confidential blockchains (Coco) Mentors: Manuel Costa , Olya Ohrimenko VMware Research, Palo Alto, June - August 2016 Worked on blockchains and Oblivious RAMs Mentors: Ittai Abraham , Dahlia Malkhi , Benny Pinkas Microsoft Research, Bangalore, India, June - August 2015 Worked towards designing a secure processor to achieve VBB obfuscation of RAM programs Mentors: Vipul Goyal , Satya Lokam , Nishanth Chandran Technicolor Research, Los Altos, June - August 2014 Worked towards parallel secure computation frame work for graph parallel algorithms Mentors: Stratis Ioannidis , Udi Weinsberg , Nina Taft Google India, Bangalore, July 2011 - June 2013 Worked towards reducing spam from Google Apps for business diff --git a/src/data/compiled_bios/1575.txt b/src/data/compiled_bios/1575.txt new file mode 100644 index 0000000000..6f086ca0ec --- /dev/null +++ b/src/data/compiled_bios/1575.txt @@ -0,0 +1 @@ + Miroslav Pajic - Paya E-mail: miroslav.pajic AT duke.edu Address: Hudson Hall Room 206, 100 Science Dr, Durham, NC 27708 Menu: Home CV Research CPSL@Duke Publications Teaching Awards Professional Service News Recent Headlines: July 2018: IBM Faculty Award! July 2018: Paper accepted at CDC! June 2018: Grant from the Lord Foundation of North Carolina! May 2018: ICCPS'19 TPC Chair February 2018: Nortel Networks Professorship! January 2018: Paper accepted at IEEE Transactions on Automatic Control! December 2017: Paper accepted at ICCPS'18! October 2017: Best Paper Award at EMSOFT'17! September 2017: Quoted in Wall Street Journal July 2017: Paper accepted in RTSS'17 ! July 2017: Paper accepted at IEEE CDC'17 June 2016: Pannelist at the FTC/NHTSA panel on Security of Connected Cars ! June 2016: Two papers accepted at the ESWeek'17 (EMSOFT and CASES) ! June 2017: Paper accepted at the IEEE Trans. on Computer Aided Design! May 2017: Invited to the the NAE's FOE Symposium ! May 2017: Paper on stochastic games for secure control accepted at Automatica ! April 2017: RESCHU-SA presented at CPSWeek'17 March 2017: NSF CAREER Award ! February 2017: ONR YIP Award ! February 2017: Paper on resilient sensor fusion in the presence of faults accepted in ACM Trans. on CPS ! January 2017: New ONR project on Attack-Resilient Industrial Control & Combat Systems ! December 2016: Paper accepted in TACAS'17 ! August 2016: Paper on secure state estimation accepted at the IEEE Trans. on Control of Network Systems ! July 2016: Paper on design of attack-resilient CPS accepted at the IEEE Control Systems Magazine ! June 2016: Paper accepted at ICCAD'16 ! June 2016: Special Session on Modeling, Sensing and Actuation for IoT accepted at CODES+ISSS'16, part of ESWeek ! May 2016: Paper accepted at CASES'16, part of ESWeek ! May 2016: Paper on Plug-n-Play CNC accepted at ETFA'16 ! May 2016: Paper on low-overhead coding for attack-detection accepted at the IEEE Trans. on Control of Network Systems ! March 2016: Special Issue on Medical CPS in the ACM Trans. on CPS ! December 2015: Papers accepted at ICCPS'16 and TACAS'16 ! November 2015: Papers accepted for ACM Transactions on Embedded Computing Systems ! October 2015: Organized special session on CPS Security at ESWEEK! August 2015: Program committee member at ICCPS'16 ! July 2015: CPS Security and Privacy project supported by NSF and Intel ! More news Welcome I am looking for PhD students and postdocs with interests and expertise in embedded systems, formal methods, control theory, and cyber-physical systems! I am Nortel Networks Assistant Professor in the Departments of Electrical and Computer Engineering and Computer Science and the director of the Cyber-Physical Systems Lab (CPSL) at Duke University . My research interests focus on design and analysis of cyber-physical systems and in particular, embedded and distributed/networked control, real-time and embedded systems, and high-confidence medical devices and systems. Before joining Duke, I was a Postdoctoral Researcher at the PRECISE Center , University of Pennsylvania. I received my Ph.D. in Electrical Engineering from the University of Pennsylvania in 2012. I also received Dipl. Ing. (5 years) and M.S. degrees in Electrical Engineering from the University of Belgrade in 2003 and 2007, and M.S. in Electrical Engineering from UPenn in 2010. Prior to PhD studies at UPenn, I was a research associate and lecturer at the School of Electrical Engineering , University of Belgrade. I have received various awards including ONR Young Investigator Award NSF Faculty Early Career Development (CAREER) Award Nortel Networks Professorship, Pratt School of Engineering, Duke University ACM SIGBED/SIGSOFT Frank Anger Memorial Award EMSOFT'17 Best Paper Award ICCPS'14 Best Paper Award RTAS'12 Best Student Paper Award IBM Faculty Award, 2018 Joseph and Rosaline Wolf Best Dissertation Award from Penn Engineering Honeywell User Group Wireless Innovation Award More 2013 Miroslav Pajic Template design by Andreas Viklund diff --git a/src/data/compiled_bios/1576.txt b/src/data/compiled_bios/1576.txt new file mode 100644 index 0000000000..c096a48dc1 --- /dev/null +++ b/src/data/compiled_bios/1576.txt @@ -0,0 +1 @@ + Debmalya Panigrahi Assistant Professor Department of Computer Science Duke University Mailing Address : Duke University Campus Box 90129 308 Research Drive (LSRC Building) Room D203 Durham, NC 27708 USA Tel: +1 (919) 660-6545 Fax : +1 (919) 660-6519 E-mail : debmalya AT cs DOT duke DOT edu Research Interests I am part of the theory group and have a broad range of interests in the design and analysis of algorithms. I often work on these topics: Graph algorithms Algorithms under uncertainty Algorithms for resource allocation and scheduling Combinatorial optimization Algorithms in Internet search, advertising, and e-commerce Algorithms in networking and social networks Algorithms in game theory and computational economics If you are a prospective PhD student interested in theory/algorithms, please apply to the Duke Computer Science PhD program and send me a short note. For more details of our theory group, please check out our theory wiki . If you are a current Duke undergraduate student and want to do research in theory/algorithms, please send me an email with your interests and background (e.g., performance in relevant courses). I am part of the Indo-US Virtual Networked Joint Center on Algorithms under Uncertainty . Teaching Graph Algorithms COMPSCI 590.5: Spring 2017 COMPSCI 590.1: Spring 2015 Approximation Algorithms COMPSCI 632: Fall 2017 Graduate Algorithms COMPSCI 532: Fall 2015 COMPSCI 530: Fall 2013 Undergraduate Algorithms COMPSCI 330: Spring 2018 COMPSCI 330: Spring 2017 COMPSCI 330: Spring 2016 COMPSCI 330: Fall 2014 Discrete Mathematics COMPSCI 230: Spring 2019 (current) Students and Postdocs Postdocs Yu Cheng (2017 - ) Kyle Fox (2016 - '17) first employment: Assistant Professor, University of Texas at Dallas Graduate students Sam Haney Nat Kell Best Research Inititation Project Award Best Prelim Award Undergraduate students Haofeng (Fred) Zhang Arun Ganesh (BS, 2017) summa-cum-laude Alex Vasilos Award for Excellence in Research first employment: Graduate Student, University of California at Berkeley Publications Papers by year and by topic . Other publications (surveys, theses). Funding NSF CCF 1750140 (CAREER Award): New Directions in Graph Algorithms (2018-2023) NSF CCF 1535972 (Algorithms in the Field): Optimizing Networked Systems with Limited Information (2015-2019) NSF CCF 1527084: Allocation Algorithms in Online Systems (2015-2018) Yahoo Faculty Research and Engagement Program (FREP) Award: Budget-aware Online Auctions in Internet Advertising (2015-2016) Google Faculty Research Award: Multi-objective Optimization in Internet Advertising (2014-2015) Program Committees 25th European Symposium on Algorithms (ESA) , 2018. 19th ACM Conference on Economics and Computation (EC) , 2018. 19th International Workshop on Approximation Algorithms for Combinatorial Optimization Problems (APPROX) , 2016. 47th ACM Symposium on Theory of Computing (STOC) , 2016. 35th Foundations of Software Technology and Theoretical Computer Science Conference (FSTTCS) , 2015. 1st Conference on Topics in Theoretical Computer Science (TTCS) , 2015. 26th ACM-SIAM Symposium on Discrete Algorithms (SODA) , 2015. 17th International Workshop on Approximation Algorithms for Combinatorial Optimization Problems (APPROX) , 2014. 11th Workshop on Approximation and Online Algorithms (WAOA) , 2013. Background Assistant Professor, Department of Computer Science , Duke University , Durham, NC, 2013---current. Postdoc, Theory Group , Microsoft Research , Redmond, WA, 2012---2013. PhD in Computer Science (Advisor: Prof. David Karger ), Theory Group , CSAIL , MIT , Cambridge, MA, 2007---2012. Member of Technical Staff - 1, Bell Labs , Bangalore, 2006---2007. ME in Computer Science (Advisor: Prof. Ramesh Hariharan ), CSA , IISc , Bangalore, 2004---2006. BE in Computer Science and Engineering, Jadavpur University , Kolkata, 2000---2004. diff --git a/src/data/compiled_bios/1577.txt b/src/data/compiled_bios/1577.txt new file mode 100644 index 0000000000..91e070ec58 --- /dev/null +++ b/src/data/compiled_bios/1577.txt @@ -0,0 +1 @@ + Ronald Parr Professor of Computer Science Office: D209 LSRC Department of Computer Science Duke University LSRC / Box 90129 Durham, NC 27708 phone: (919) 660-6537 phone: (919) 660-4016 (robotics/vision lab) fax: (919) 660-6519 email: parr-at-cs.duke.edu Are you interested in studying or working in my research group? Before you send me an email that I probably won't be able to answer, please look here . I am a professor at the Duke University Department of Computer Science. From July 2015 through June 2017, I was department chair and delivered three graduation speeches: 2015 , 2016 , and 2017 . Here is my CV (updated 10/2018) and and brief bio . Jump to: Classes Papers Slides Everything Else Classes CompSci 570 - Introduction to Artificial Intelligence (Fall 2018) Journal Papers Counting Objects with a Combination of Horizontal and Overhead Sensors , Erik Halvorson and Ronald Parr, The International Journal of Robotics Research, June 2010, 29(7), pp. 840-854. Non-Myopic Multi-Aspect Sensing with Partially Observable Markov Decision Processes , Shihao Ji, Ronald Parr, and Lawrence Carin, IEEE Transactions on Signal Processing, June 2007 Volume 55, Issue: 6, Part 1, 2007, pp. 2720-2730. Least-Squares Policy Iteration , Michail Lagoudakis and Ronald Parr, Accepted to the Journal of Machine Learning Research (JMLR), Vol. 4, 2003, pp. 1107-1149. Efficient Solution Algorithms for Factored MDPs , Carlos Guestrin, Daphne Koller, Ronald Parr and Shobha Venkataraman, Journal of Artificial Intelligence Research (JAIR), Vol. 19, 2003, pp. 399-468. [Winner of IJCAI-JAIR best paper award] Highly Refereed Papers (also includes WAFR, IROS and ICRA) Improving PAC Exploration Using the Median Of Means , Jason Pazis, Ronald Parr, and Jonathan How, Neural Information Processing Systems 2016 (NIPS 2016). Linear Feature Encoding for Reinforcement Learning , Zhao Song, Ronald Parr, Xuejun Liao, and Lawrence Carin, Neural Information Processing Systems 2016 (NIPS 2016). supplemental material Efficient PAC-optimal Exploration in Concurrent, Continuous State MDPs with Delayed Updates , Jason Pazis and Ronald Parr, Proceedings of the Thirtieth AAAI Conference (AAAI 2016). Distance Minimization for Reward Learning from Scored Trajectories , Benjamin Burchfiel, Carlo Tomasi, and Ronald Parr, Proceedings of the Thirtieth AAAI Conference (AAAI 2016). Unsupervised Discovery of Object Classes with a Mobile Robot , Julian Mason, Bhaskara Marthi, and Ronald Parr, International Conference on Robotics and Automation (ICRA 2014). Sample Complexity and Performance Bounds for Non-parametric Approximate Linear Programming , Jason Pazis and Ronald Parr, Proceedings of the Twenty Seventh Association for Advancement of Artificial Intelligence Conference (AAAI 2013). PAC Optimal Exploration in Continuous Space Markov Decision Processes , Jason Pazis and Ronald Parr, Proceedings of the Twenty Seventh Association for Advancement of Artificial Intelligence Conference (AAAI 2013). [AAAI 2013 Outstanding Paper Honorable Mention] (Our AAAI 2016 paper supersedes this.) Object Disappearance for Object Discovery , Julian Mason, Bhaskara Marthi, and Ronald Parr, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-2012). Value Function Approximation in Noisy Environments Using Locally Smoothed Regularized Approximate Linear Programs , Gavin Taylor and Ronald Parr, Proceedings of the Twenty-Eighth International Conference on Uncertainty in Artificial Intelligence (UAI-2012). Greedy Algorithms for Sparse Reinforcement Learning , Christopher Painter-Wakefield and Ronald Parr, Proceedings of the Twenty-Ningth International Conference on Machine Learning (ICML-2012). ( long version ) Computing Optimal Strategies to Commit to in Stochastic Games , Joshua Letchford, Liam MacDermed, Vincent Conitzer, Ronald Parr, and Charles Isbell, Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence (AAAI-2012). Generalized Value Functions for Large Action Sets , Jason Pazis and Ronald Parr, Proceedings of the Twenty-Eighth International Conference on Machine Learning (ICML-2011). Non-parametric Approximate Linear Programming for MDPs , Jason Pazis and Ronald Parr, Proceedings of the Twenty-Fifth AAAI conference on Artificial Intelligence (AAAI-2011). (Note: This version differs from the published verision in that it contains a small correction to the statement of theorem 5.4.) Security Games with Multiple Attacker Resources , Dmytro Korzhyk, Vincent Conitzer, Ronald Parr, Proceedings of the Twenty-second International Joint Conference on Artificial Intelligence (IJCAI-2011). Textured Occupancy Grids for Monocular Localization Without Features , Julian Mason, Susanna Ricco, Ronald Parr, 2011 IEEE International Conference on Robotics and Automation (ICRA 2011). Solving Stackelberg Games with Uncertain Observability , Dmytro Korzhyk, Vincent Conitzer, Ronald Parr, The Tenth International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011). Linear Complementarity for Regularized Policy Evaluation and Improvement , Jeff Johns, Christopher Painter-Wakefield, Ronald Parr, Advances in Neural Information Processing Systems 23 (NIPS 23). (Note: This is the full version of the paper, which includes the appendix. The printed proceedings do not include the appendix.) Feature Selection Using Regularization in Approximate Linear Programs for Markov Decision Processes , Marek Petrik, Gavin Taylor, Ronald Parr, and Shlomo Zilberstein, International Conference on Machine Learning (ICML-2010), pp. 871-878. ( Full Version ) Complexity of Computing Optimal Stackelberg Strategies in Security Resource Allocation Games , Dmytro Korzhyk, Vincent Conitzer, and Ronald Parr, Proceedings of the 24th National Conference on Artificial Intelligence (AAAI-10). Kernelized Value Function Approximation for Reinforcement Learning , Gavin Taylor and Ronald Parr, International Conference on Machine Learning (ICML-2009). Multi-step Multi-sensor Hider-seeker Games , Erik Halvorson, Vincent Conitzer and Ronald Parr, Proceedings of the Twenty-First International Joint Conference on Artificial Intelligence (IJCAI-2009). Planning Aims for a Network of Horizontal and Overhead Sensors , Erik Halvorson and Ronald Parr, Workshop on the Algorithmic Foundations of Robotics 2008 (WAFR-2008). An Analysis of Linear Models, Linear Value-Function Approximation, and Feature Selection for Reinforcement Learning , Ronald Parr, Lihong Li, Gavin Taylor, Christopher Painter-Wakefield, and Michael L. Littman, International Conference on Machine Learning (ICML-2008), pp. 752-759. Note: Please see this important addendum . Point-Based Policy Iteration , Shihao Ji, Ronald Parr, Hui Li, Xuejun Liao, and Lawrence Carin, Proceedings of the Twenty-Second National Conference on Artificial Intelligence ( AAAI -2007), pp 1243-1249. Analyzing Feature Generation for Value-Function Approximation , Ronald Parr, Christopher Painter-Wakefield, Lihong Li, and Michael Littman, International Conference on Machine Learning (ICML-2007). Efficient Selection of Disambiguating Actions for Stereo Vision , Monika Schaeffer and Ronald Parr, Uncertainty in Artificial Intelligence (UAI-2006). Hierarchical Linear/Constant Time SLAM using Particle Filters for Dense Maps Austin I. Eliazar and Ronald Parr, Advances in Neural Information Processing Systems (NIPS-19) 2005. Learning Probabilistic Motion Models for Mobile Robots , Austin I. Eliazar and Ronald Parr, Proceedings of the Twenty First International Conference on Machine Learning (ICML-2004). DP-SLAM 2.0 , Austin Eliazar and Ronald Parr, IEEE 2004 International Conference on Robotics and Automation (ICRA 2004). Reinforcement Learning as Classification: Leveraging Modern Classifiers , Michail Lagoudakis and Ronald Parr, Proceedings of the Twentieth International Conference on Machine Learning (ICML-2003). DP-SLAM: Fast, Robust Simulataneous Localization and Mapping without Predetermined Landmarks , Austin Eliazar and Ronald Parr, Proceedings of the Eighteenth International Joint Conference on Artificial Intelligence ( IJCAI 03). Learning in Zero-Sum Team Markov Games using Factored Value Functions , Michail Lagoudakis and Ronald Parr, To appear in Advances in Neural Information Processing Systems (NIPS-15) 2002. Value Function Approximation in Zero-Sum Markov Games Michail Lagoudakis and Ronald Parr, Proceedings of the 18th Conference on Uncertainty in Artificial Intelligence (UAI 2002). Coordinated Reinforcement Learning , Carlos Guestrin, Michail Lagoudakis,and Ronald Parr. Proceedings of the Nineteenth International Conference on Machine Learning (ICML-2002). XPathLearner: An On-Line Self-Tuning Markov Histogram for XML Path Selectivity Estimation , Lipyeow Lim, Min Wang, Sriram Padmanabhan, Jeffrey Scott Vitter, Ronald Parr. VLDB 2002. Multiagent Planning with Factored MDPs , Carlos Guestrin, Daphne Koller and Ronald Parr, Advances in Neural Information Processing Systems (NIPS-14) 2001. Model-Free Least-Squares Policy Iteration Michail Lagoudakis, Ronald Parr, To appear in Advances in Neural Information Processing Systems (NIPS-14) 2001. Longer tech report version available . Inference in Hybrid Networks: Theoretical Limits and Practical Algorithms , Uri Lerner, Ronald Parr, Uncertainty in Artificial Intelligence, Proceedings of the Seventeenth Conference (UAI 2001). [Joint winner of best student paper award (student first author).] Max-norm Projections for Factored MDPs , Carlos Guestrin, Daphne Koller and Ronald Parr, IJCAI 2001. Policy Iteration for Factored MDPs , Daphne Koller and Ronald Parr, Uncertainty in Artificial Intelligence, Proceedings of the Sixteenth Conference (UAI 2000). Making Rational Decisions Using Adaptive Utility Elicitation Urszula Chajewska, Daphne Koller, Ronald Parr, Proceedings of the Seventeenth National Conference on Artificial Intelligence ( AAAI 2000). Bayesian Fault Detection and Diagnosis in Dynamic Systems Uri Lerner, Ronald Parr, Daphne Koller and Gautam Biswas, Proceedings of the Seventeenth National Conference on Artificial Intelligence ( AAAI 2000). Policy Search Via Density Estimation , Andrew Ng, Ronald Parr and Daphne Koller, NIPS 99. Reinforcement Learning Using Approximate Belief States , Andrs Rodrguez, Ronald Parr and Daphne Koller, NIPS 99. Computing Factored Value Functions for Policies in Structured MDPs , Daphne Koller and Ronald Parr, IJCAI 1999. Flexible Decomposition Algorithms for Weakly Coupled Markov Decision Problems , Ronald Parr. UAI 98. Reinforcement Learning with Hierarchies of Machines , Ronald Parr and Stuart Russell. NIPS 97. Generalized Prioritized Sweeping David Andre, Nir Friedman, and Ronald Parr. NIPS 97. Approximating Optimal Policies for Partially Observable Stochastic Domains, Ronald Parr, Stuart Russell, Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence (IJCAI-95). [Note: This is a slightly revised version with a few corrections.] Provably Bounded Optimal Agents, Stuart Russell, Devika Subramanian, Ronald Parr, in Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence (IJCAI-93). Other Papers L1 Regularized Linear Temporal Difference Learning , Duke CS Technical Report TR-2012-01 Christopher Painter-Wakefield and Ronald Parr, 2012. Planning Aims for a Network of Horizontal and Overhead Sensors , Erik Halvorson and Ronald Parr. International Symposium on Artificial Intelligence and Mathematics, 2008. Least-Squares Methods in Reinforcement Learning for Control , Michail Lagoudakis, Ronald Parr and Michael L. Littman. Second Hellenic Conference on Artificial Intelligence (SETN-02), Thessaloniki, Greece, April 11-12, 2002. Model-Free Least-Squares Policy Iteration , Michail Lagoudakis and Ronald Parr, Duke University Technical Report. (Longer version of NIPS 2001 paper above.) Coordinated Reinforcement Learning , Carlos Guestrin, Michail Lagoudakis,and Ronald Parr. To appear in the Proceedings of the 2002 AAAI Spring Symposium Series: Collaborative Learning Agents Selecting the Right Algorithm Michail Lagoudakis, Michael L. Littman and Ronald Parr, Proceedings of the 2001 AAAI Fall Symposium Series: Using Uncertainty within Computation, Cape Cod, MA, November 2001. Solving Factored POMDPs with Linear Value Functions , Carlos Guestrin, Daphne Koller and Ronald Parr, In the IJCAI-01 workshop on Planning under Uncertainty and Incomplete Information. Max-norm Projections for Factored MDPs , Carlos Guestrin, Daphne Koller, and Ronald Parr, AAAI Spring Symposium, Stanford, California, March 2001. Adaptive Utility Elicitation using Value of Information (abstract), Urszula Chajewska, Miriam Kuppermann, Ronald Parr and Daphne Koller, Presented at the 22nd Annual Meeting of the Society for Medical Decision Making (MDM' 00). A Unifying Framework for Temporal Abstraction in Stochastic Processes , Ronald Parr, Symposium on Abstraction Reformulation and Approximation, 1998 (SARA-98). Feasibility Study of Fully Automated Vehicles Using Decision-theoretic Control , Jeffrey Forbes, Nikunj Oza, Ronald Parr, Stuart Russell, California PATH Research Report, UCB-ITS-PRR-97-18. Some Slides These are slides from some talks. Ask if you want me to add more. If you adapt content from these slides for your own talks, I'd appreciate if you let me know and gave me a little acknowledgment somewhere. Slides on linear value functions and linear models from the 2006 NSF workshop on Approximate Dynamic Programming, joint work with Christopher Painter-Wakefield and Michael Littman. Slides from my overview of hierarchical reinforcement learning for the ICML 2005 Worskshop on Rich Representations for Reinforcement Learning My Dissertation You can view the abstract or download the whole thing as gzipped postscript. Please read some comments about the version of my thesis posted on this page. Workshop I was one of the organizers of the NIPS 98 Workshop on Abstraction and Hierarchy in Reinforcement Learning . Random Stuff I have no relation to Jack Paar , who spells his name differently. There is a web page about people named Parr , but I am not related to any of them. I also am not related to Katherine Parr , one of the wives of Henry VIII. According to Webster, a parr is a small fish. The relationship is quite distant. I'm into digital photography . diff --git a/src/data/compiled_bios/1578.txt b/src/data/compiled_bios/1578.txt new file mode 100644 index 0000000000..b7fb5ecd90 --- /dev/null +++ b/src/data/compiled_bios/1578.txt @@ -0,0 +1 @@ + search Main Menu Undergraduate Overview Considering Duke BME? Why Duke? Got Questions? Enrollment and Graduation Rates Where Students Go Curriculum & Advising Research Opportunities Internships Independent Study Checking the Status of Your Request Student Groups Graduation with Departmental Distinction 4+1: BSE+Master's Degree BME Design Fellows Diversity & Inclusion Graduate Why Choose Duke BME? 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Curriculum & Advising Research Opportunities Internships Independent Study Student Groups Graduation with Departmental Distinction 4+1: BSE+Master's Degree BME Design Fellows Diversity & Inclusion Graduate Why Choose Duke BME? Compare Our Degrees How to Apply PhD & MD-PhD Master's Degrees Concentrations, Certificates & Training Programs Life at Duke For Current Students Diversity & Inclusion Research Overview Bioelectric Engineering Biomaterials Biomechanics and Mechanobiology Biomedical and Health Data Sciences Biomedical Imaging and Biophotonics Biosensors and Bioinstrumentation Computational Modeling of Biological Systems Drug and Gene Delivery Immune Engineering Neural Engineering Synthetic and Systems Biology Tissue Engineering and Regenerative Medicine Centers & Initiatives Notable Publications Faculty All Faculty Bioelectric Engineering Faculty Biomaterials Faculty Biomechanics and Mechanobiology Faculty Biomedical Imaging and Biophotonics Faculty Biosensors and Bioinstrumentation Faculty Computational Modeling of Biological Systems Faculty Drug and Gene Delivery Faculty Immune Engineering Faculty Neural Engineering Faculty Synthetic and Systems Biology Tissue Engineering and Regenerative Medicine Faculty Awards & Recognition Coulter Overview Duke-Coulter Projects Proposal Process Oversight Committee FAQs BRiDGE About Welcome from the Chair Vision & Mission Facts & Stats Our History Serving Society Walking Tours Driving Directions News Events Amanda Randles Alfred Winborne and Victoria Stover Mordecai Assistant Professor of Biomedical Sciences My research in biomedical simulation and high-performance computing focuses on the development of new computational tools that we use to provide insight into the localization and development of human diseases ranging from atherosclerosis to cancer. Appointments and Affiliations Alfred Winborne and Victoria Stover Mordecai Assistant Professor of Biomedical Sciences Assistant Professor of Biomedical Engineering Assistant Professor of Computer Science Assistant Professor of Mathematics Member of the Duke Cancer Institute Contact Information Office Location: 301 Gross Hall, 140 Science Dr., Durham, NC 27708 Office Phone: (919) 660-5425 Email Address: amanda.randles@duke.edu Websites: Google Scholar Randles Lab Site Education Ph.D. Harvard University , 2013 Research Interests Biomedical simulation and high-performance computing Awards, Honors, and Distinctions IEEE-CS Technical Consortium on High Performance Computing (TCHPC) Award for Excellence for Early Career Researchers in High Performance Computing. IEEE. 2017 MIT TR35 Visionary. MIT TR35. 2017 Ralph E. Powe Junior Faculty Enhancement Award. Oak Ridge Associated Universities. 2016 Best Paper, IEEE International Conference on Computational Science (ICCS) 2015. IEEE. 2015 Gordon Bell Finalist. ACM. 2015 Early Independence Award. NIH. 2014 Lawrence Fellowship. Lawrence Livermore National Laboratory. 2013 U.S. Delegate . Heidelberg Laureate Forum. 2013 Anita Borg Memorial Scholarship. Google. 2012 George Michael Memorial High Performance Computing Fellowship. ACM/IEEE. 2012 U.S. Delegate . Lindau Nobel Laureates and Students Meeting Dedicated to Physics. 2012 Computational Science Graduate Fellowship. Department of Energy. 2010 George Michael Memorial High Performance Computing Fellowship. ACM/IEEE. 2010 Gordon Bell Finalist. ACM. 2010 Graduate Research Fellowship. National Science Foundation. 2009 Courses Taught BME 307: Transport Phenomena in Biological Systems (AC or GE, BB) BME 394: Projects in Biomedical Engineering (GE) BME 493: Projects in Biomedical Engineering (GE) BME 494: Projects in Biomedical Engineering (GE) BME 590L: Special Topics with Lab CEE 307: Transport Phenomena in Biological Systems (AC or GE, BB) COMPSCI 394: Research Independent Study In the News Randles Selected to Help Pilot First U.S. Exascale Computer (Jul 6, 2018 | Pratt School of Engineering) Duke University Models How and Where Blood flow Impacts Health (Nov 1, 2017) Plumbing Virtual Vessels (Sep 21, 2017) Supercomputer copies whole-body blood flow (Mar 17, 2016 | BBC News) New Collaborative Seed Grant Program Gives Eight Awards (Mar 16, 2016) NIH Features Randles Research on Fighting Cancer With Supercomputers (Nov 19, 2015) Experts put health issues firmly in the spotlight (Sep 14, 2015 | China Daily) Randles Named Finalist for Supercomputings Top Honor (Aug 31, 2015) Amanda Randles: Computing Complex Biological Systems (Jun 5, 2015 | Pratt School of Engineering) Representative Publications Gounley, J; Vardhan, M; Randles, A, A Framework for Comparing Vascular Hemodynamics at Different Points in Time. , Computer Physics Communications, vol 235 (2019), pp. 1-8 [ 10.1016/j.cpc.2018.05.014 ] [ abs ]. Gounley, J; Draeger, EW; Oppelstrup, T; Krauss, WD; Gunnels, JA; Chaudhury, R; Nair, P; Frakes, D; Leopold, JA; Randles, A, Computing the ankle-brachial index with parallel computational fluid dynamics. , Journal of Biomechanics, vol 82 (2019), pp. 28-37 [ 10.1016/j.jbiomech.2018.10.007 ] [ abs ]. Hegele, LA; Scagliarini, A; Sbragaglia, M; Mattila, KK; Philippi, PC; Puleri, DF; Gounley, J; Randles, A, High-Reynolds-number turbulent cavity flow using the lattice Boltzmann method , Physical Review. E, vol 98 no. 4 (2018) [ 10.1103/PhysRevE.98.043302 ] [ abs ]. Herschlag, G; Lee, S; Vetter, JS; Randles, A, GPU data access on complex geometries for D3Q19 lattice boltzmann method , Proceedings 2018 Ieee 32nd International Parallel and Distributed Processing Symposium, Ipdps 2018 (2018), pp. 825-834 [ 10.1109/IPDPS.2018.00092 ] [ abs ]. Rafat, M; Stone, HA; Auguste, DT; Dabagh, M; Randles, A; Heller, M; Rabinov, JD, Impact of diversity of morphological characteristics and Reynolds number on local hemodynamics in basilar aneurysms , Aiche Journal, vol 64 no. 7 (2018), pp. 2792-2802 [ 10.1002/aic.16091 ] [ abs ]. Faculty All Faculty Bioelectric Engineering Faculty Biomaterials Faculty Biomechanics and Mechanobiology Faculty Biomedical Imaging and Biophotonics Faculty Biosensors and Bioinstrumentation Faculty Computational Modeling of Biological Systems Faculty Drug and Gene Delivery Faculty Immune Engineering Faculty Neural Engineering Faculty Synthetic and Systems Biology Tissue Engineering and Regenerative Medicine Faculty Awards & Recognition News from Duke BME February 05, 2019 Duke Engineering Joins KEEN Network February 05, 2019 Paul Fearis: Informing Innovation at Duke BME January 31, 2019 Q&A with a Duke Inventor Dedicated to Reforming Womens Health View all News Copyright 2011-2019 Duke University diff --git a/src/data/compiled_bios/1579.txt b/src/data/compiled_bios/1579.txt new file mode 100644 index 0000000000..f62ee9fb40 --- /dev/null +++ b/src/data/compiled_bios/1579.txt @@ -0,0 +1 @@ + Homepage Awards Research Student & Postdoc Supervision Teaching Conference Organization Personal Biographical Info Recreational & Creative Interests John H. Reif - A. Hollis Edens Distinguished Professor, Trinity College of Arts and Sciences , Duke University . - Full Professor of Computer Science at Duke University , since 1986. (Also, s econdary appointment in Department of Electrical and Computer Engineering, Pratt School of Engineering, Duke University since June, 2016.) - Rm. D223, L.S.R.C. Building , Box 90129, Duke University, Durham, NC 27708-0129 - Email: - Phone: (919) 660-6568 Fax: (919) 660-6519 - My Vita (lists publications, education, students, postdocs, grants, etc.) - Education: Ph.D. in Applied Mathematics (Harvard Univ., July 1977). M.S. in Applied Mathematics (Harvard Univ., July 1975) B.S., magna cum laude, Applied Math. and Comp. Sci., (Tufts Univ., Spring 1973) - My Personal Webpage : www.cs.duke.edu/~reif - Dept of Computer Science's Web Page on me - Duke University's Webpage on me - Article on Reif Group at Duke - Wikepedia's Citation - Google Scholar List of Papers (Google H-Index 69) - Microsoft's Academic Research Links: Webpage on me , Publications , CoAuthors - My assistant Camelia Pierson Eaves at phone 919-660-6534 is available to help if you need to contact me and I'm not h ere . - General Chairman of FNANO17 , Snowbird, Utah, April 15-18, 2019. - Also President of Eagle Eye Research, Inc. , which specializes in defense applications of DNA biotechnology. Current Research Interests: - Biomolecular Computing and Self Assembly of DNA Nanostructures : Recent New Releases and Interviews Faster DNA Computing - Duke Research News (2018) Invasion Of The Molecular Math Robots - SciWorks NPR Radio( Oct, 2016) Analog DNA Circuit Does Math In A Test Tube - Duke Today (Aug, 2016) Recent Talk Presentation: DNA-Based Programmable Molecular Devices [ pptx ] [ pdf ] Download: My Papers in Biomolecular Computing and Self Assembly of DNA Nanostructures Some of My Experimental Papers on demonstrations of DNA Nanostructures Experimental demonstration of programmed molecular assembly: Peng Yin, Rizal F. Hariadi , Sudheer Sahu , Harry M.T.Choi , Sung Ha Park, Thomas H. LaBean , John H. Reif, Programming DNA Tube Circumferences , Science , Vol. 321. no . 5890, pp. 824826 (August 8, 2008). [ PDF ] Supplemental Info: [ PDF ] Experimental demonstration of Autonoumous Molecular Robot: Peng Yin, Hao Yan, Xiaoju G. Daniel, Andrew J. Turberfield , John H. Reif, A Unidirectional DNA Walker Moving Autonomously Along a Linear Track , Angewandte Chemie [International Edition] , Volume 43, Number 37, Sept. 20, 2004, pp. 4906-4911. [ PDF ] or [ PDF ] Supplemental Information: [ PDF ] Abst ract: [ PDF ] Talk: [ PDF ] [ PPT ] Experimental demonstration of Autonomous Molecular Robot: Peng Yin, Hao Yan, Xiaoju G. Daniel, Andrew J. Turberfield , John H. Reif, A Unidirectional DNA Walker Moving Autonomously Along a Linear Track , Angewandte Chemie [International Edition] , Volume 43, Number 37, Sept. 20, 2004, pp. 4906-4911. [ PDF ] or [ PDF ] Supplemental Information: [ PDF ] Abst ract: [ PDF ] Talk: [ PDF ] [ PPT ] Experimental demonstration of programmed molecular patterning: Hao Yan, Thomas H. LaBean , Liping Feng , and John H. Reif, Directed Nucleation Assembly of Barcode Patterned DNA Lattices, Proceedings of the National Academy of Science( PNAS) , Volume 100, No. 14, pp. 8103-8108, July 8, (2003). [ PDF ] ( Publicity ) - Book on DNA Computation: Sudheer Sahu and John H. Reif, DNA-based Self-assembly and Nanorobotics , VDM Verlag , DNA-Based Self-Assembly and Nanorobotics , Published by VDM Verlag Dr. Mueller e.K ., Saarbrcken , Germany, 128 pages, (November 10, 2008) ISBN-10: 363909770X, ISBN-13: 978-3639097702. - Algorithms: - Parallel Algorithms for Graphs , Algebra , Geometry and Sorting - Randomized - Algebraic and Numerical - Data Compression Algorithms - Other Alternative Models of Computation: - Quantum Computing - Optical Computing - My advise on The Art of Research Research Publications: most available for download in PDF format - My publications organized by research area (journal & conf. combined ) - My publications chronographically ordered (journal & conf. combined) - My publications listed on Duke Faculty Website (journal & conf. separate ) - Lists (but no downloads) of my conference papers are also available from the STOC conference database and the FOCS conference database My Papers Categorized by Topics (264 downloadable papers) - Biomolecular Computing and Self Assembly of DNA Nanostructures (83 papers) - Motion Planning and Kinodynamics in Robotics (31 papers) - Sequential and Parallel Algebraic and Numerical Algorithms (28 papers) - Sequential and Parallel Graph Algorithms (24 papers) - Sequential and Parallel Program Optimization (16 papers) - Randomized Parallel Algorithms (6 papers) - Optics and Optical Computing (12 papers) - Computational Geometry (6 papers) - N-Body and Molecular Simulations (6 papers) - Quantum Computing (4 papers) - Parallel Architectures (6 papers) - Sequential and Parallel Optimization (3 papers) - Sequential and Parallel Sorting (5 papers) - Parallel Parsing (1 paper) - Distributed and Real Time Algorithms (5 papers) - Reliable Computing and Fault Testing (5 papers) - Data Compression Algorithms (11 papers) - Searching Algorithms and Learning Theory (6 papers) - Program Logics (6 papers) - Complexity of Games (5 papers) - Finance and Investment Theory (2 papers) - Solar Energy (2 papers) - Virtual Reality (2 papers) Books - Synthesis of Parallel Algorithms , (edited by J. Reif), published by Morgan Kaufmann, Spring, 1993. - Parallel Algorithm Derivation and Program Transformation , (edited by R. Paige, J. Reif and R. Wachter ), published by Kluwer Academic Publishers , June, 1993. - Handbook of Randomized Computing (Edited by S. Rajasekaran , P. M. Pardalos , J.H. Reif and J. Rolim ), published by Kluwer Volume I and II, Academic Press, London, 2001. - Handbook of Parallel Computing: Models, Algorithms and Applications (Edited by Sanguthevar Rajasekaran and John H Reif), published by Taylor & Francis, Boca Raton, FL. ISBN 978-1584886235 (December, 2007). - DNA-based Self-assembly and Nanorobotics (by Sudheer Sahu and John H. Reif), VDM Verlag , DNA-Based Self-Assembly and Nanorobotics , Published by VDM Verlag Dr. Mueller e.K ., Saarbrcken , Germany, 128 pages, (November 10, 2008). Student and Postdoc Supervision: - Current and Prior Graduate Students and Postdocs - Further Information about my previous graduate students can be found in my vita and at the computer science genealogy . Current Graduate Students (Ph.D. candidates) - Reem Mokhtar : Ph.D. thesis topic: DNA Transformers . Projected Date of Graduation: Spring 2019. - Xin Song : Tentative Ph.D. thesis topic: Reusable DNA Circuits . Projected Date of Graduation: Spring 2019. - Shalin Shah : Tentative Ph.D. thesis topic: Families of DNA Devices for Super-Resolution Imaging . Projected Date of Graduation: Spring 2019. - Dan Fu : Tentative Ph.D. thesis topic: 3D DNA Shapes for Nanocasting . Projected Date of Graduation: Spring 2020. - Ming Yang : 2 nd year PhD candidate. Projected Date of Graduation: Spring 2021. Teaching : - COMPSCI 534 Computational Complexity, Spring 2019. - COMPSCI 531 Algorithm Paradigms, Fall 2018. - COMPSCI 590.03 Molecular Assembly and Computation, Spring 2018. - COMPSCI 531 Algorithm Paradigms, Fall 2017. - COMPSCI 534 Computational Complexity, Spring 2017. - COMPSCI 531 Algorithm Paradigms, Fall 2016. - COMPSCI 590.01 Molecular Assembly and Computation, Spring, 2016. - COMPSCI 531 Algorithm Paradigms, Fall 2015. - COMPSCI 534 Computational Complexity, Spring 2015. - prior years teaching Conference Organization: (FNANO = FOUNDATIONS OF NANOSCIENCE: SELF-ASSEMBLED ARCHITECTURES AND DEVICES ) General Chairman of FNANO19 , Snowbird, Utah, April 15-18, 2019. General Chairman of FNANO18 , Snowbird, Utah, April 16-19, 2018. General Chairman of FNANO17 , Snowbird, Utah, April 10-13, 2017. General Chairman of FNANO16 , Snowbird, Utah, April 11-15, 2016. General Chairman of FNANO15 , Snowbird, Utah, April 13-16, 2015. General Chairman of FNANO14 , Snowbird, Utah, April 14-17, 2014. General Chairman of FNANO13 , Snowbird, Utah, April 15-18, 2013. General Chairman of FNANO12 , Snowbird, Utah, April 16-19, 2012. General Chairman of FNANO11 , Snowbird, Utah, April 11-15, 2011. General Chairman of FNANO10 , Snowbird, Utah, April 27-30, 2010. General Chairman of FNANO09 , Snowbird, Utah, April 20-24, 2009. General Chairman of FNANO08 , Snowbird, Utah, April 22 -25, 2008. Program Chairman of FNANO07 , Snowbird, Utah, April 18 -21, 2007. Program Chairman of FNANO06 , Snowbird, Utah, April 23-27, 2006. Program Chairman (with coChair John Monahan) of NSF Workshop: Emerging Opportunities of Nanoscience to Energy Conversion and Storage , Arlington VI, November 21-22, 2005 (See Workshop Report ) Program Chairman of FNANO05 , Snowbird, Utah, April 24-28, 2005. Program Chairman of FNANO04 , Snowbird, Utah, April 21-23, 2004. Program coChair man (with Chen), The 9th International Meeting on DNA Based Computers, Madison, Wisconsin, June 1-4, 2003. Program Chairman of 34th ACM Symposium on Theory of Computing( STOC2002), Montral, Qubec, Canada, May 19-21, 2002. Personal Biographical Information - Family, Schooling, Work and Play. This is an informal recounting, interweaving discussions of my Family, Schooling, Work (e.g., in Computer Science), and Play (e.g., skiing). - Family: Wife Jane Anderson, and two children, Katie and Emily. - Brief Profile by Tufts Recreational Interests - Extreme Skiing ( Skiing Mnt Baldy's Main Chute, Alta, Utah in 1980s ) ( Skiing Deep Powder at Bookends, Snowbird, Utah ) - KiteSurfing ( KiteSurfing Instructions ) ( Instructional Videos ) - WindSurfing - Cross-Country Skiing - Kayaking & Canoeing - Hiking - Creative Writing Favorite Quotes - Water comes gushing forth from the sand, the deeper and deeper it is dug; likewise, intelligence will grow, the more and more a person studies. - Thirukkural - I have learnt this at least by my experiment, that if one advances confidently in the direction of his dreams in the night, and endeavors to live the life he has imagined, he will meet with a success unexpected in common hours. -Thoreau Please let me know if you have any problems with these web pages. _ diff --git a/src/data/compiled_bios/158.txt b/src/data/compiled_bios/158.txt new file mode 100644 index 0000000000..1e4e6b1441 --- /dev/null +++ b/src/data/compiled_bios/158.txt @@ -0,0 +1 @@ + This page uses frames, but your browser doesn't support them. diff --git a/src/data/compiled_bios/1580.txt b/src/data/compiled_bios/1580.txt new file mode 100644 index 0000000000..2d6a9388b8 --- /dev/null +++ b/src/data/compiled_bios/1580.txt @@ -0,0 +1 @@ + Susan Rodger's Home Page I'm a Professor of the Practice in the Computer Science Department at Duke University . I received my BS in computer science and mathematics from N.C. State University in 1983, the year the cinderella basketball team won the NCAA Championship. I received my MS and Ph.D. in computer science from Purdue University in 1985 and 1989. Purdue CS celebrated its 50th anniversary in 2013. From 1989 until 1994, I was an Assistant Professor in the Computer Science Department at Rensselaer Polytechnic Institute . Contact Info | Distractions (list of links) | amazon | Registrar | CS courses | Lib | Exchge | ExchgeInfo | csed hub | otf | Crime | women | cs articles | 25Live | workDuke | construction | track | swim NEW ITEMS JFLAP www.jflap.org JFLAP book JFLAP workshop 2014 Alice FREE K-12 Alice materials/examples we have developed: handouts, tutorials, movies Other Alice materials: workshops, etc. Alice Symposium 2013 alice.org and Alice Curriki Site Write a Wikipedia page about a notable women in computing SIGCSE , SIGCSE web sites , SIGCSE Symposia history (newer page) and (old page) and SIGCSE Board Members over the years (newer page) and (old page) SIGCSE 2008 (OR) , SIGCSE 2009 (TN) , SIGCSE 2010 (WI) , SIGCSE 2011 (TX) , SIGCSE 2012 (NC) , SIGCSE 2013 (CO) Peer Led Team Learning Activities and Workshops - One workshop was at Duke April 28-29, 2007 Duke Emerging Scholars - Computer Science (pics) Senior Women in Science (SWS) On-Campus research and leadership opportunities Jobs and Research opportunites for Duke CS Ugrads including jobs in the Duke CS dept (check first link) ACM Programming Contest 00-01, Mid-Atlantic regional , Duke site for regional, and finals. The 96-97 Duke team at the finals, 97-98 Duke team (11th place) at the finals, and 98-99 Duke team (5th place) at the finals. Go Duke! Teaching Current Courses: CompSci 94: Spring 2019 Introduction to Programming via Animation and Virtual Worlds CompSci 334: Spring 2019 Mathematical Foundations of Computer Science Be a UTA! Coursera Specialization - Java Programming and Software Engineering Fundamentals Old Courses UTA Training Materials To find out more about my interests: Research Interests and Activities Current papers Current talks Current CV , professional biography , shorter professional biography and picture biography Data Structures: Can you guess what type of data structure this is? Tools: FLAP, JFLAP, Pt, LLparse and LRparse, and Xtango. DROOL - Duke Resources for Object Oriented Learning home page CURIOUS JAWAA for algorithm animation. Create an animation, here's a simple one. CRA program, with student Diana Jackson in Summer 2002 here EM Collaboration Co-Director of PipeLINK with Ellen Walker (1994-1995) AP Computer Science and the committee hard at work Computer Science Links - Organizations, Conferences CS Educational Tools available ACM JETT AP CS Workshops Women on the Information Highway? Undergraduate/Graduate Activities Grace Hopper Conference - We take ugrads/grads to the conference. Blog from GraceHopper 2012 conference Conquer - Computer Science Undergraduate Research info from CRA New site Duke Student ACM Chapter , old site here - Faculty Advisor CPS majors, you should join! Faculty - grad vs ugrad ultimate frisbee game November 9, 2008 Faculty - grad - ugrad basketball games April 13, 2008 Old web page Duke Student ACM-W Chapter - Faculty Advisor Student Summer 2018 JFLAP: Jay Patel Students Summer 2017 Alice: Natalie Huffman , Jonathan Kuo , and Vicki Zhang JFLAP: Wei-Ting Yeh and Yanbo Fang Students Summer 2016 Alice: Carolyn Sun , Ademola Olayinka , and Anh Trinh JFLAP: Bill Yu and Brian Pester Students Summer 2015 Alice: David Yan , Erin Taylor and Alex Boldt JFLAP: Martin Tamayo and Sung-Hoon Kim Students Summer 2014 Alice: Ellen Yuan , Samantha Huerta , Yossra Hamid JFLAP: John Godbey , Lawrence Lin Students Summer 2013 Alice: Daniel MacDonald , Elizabeth Onstwedder , Bella Onwumbiko , Edwin Ward JFLAP: Ian McMahon Students Summer 2012 Alice: Chris Brown , Mike Hoyle , Michael Marion JFLAP: Ian McMahon , Peggy Li Students Summer 2011 Alice: Melissa Dalis , Peggy Li , Sarah Zhang , Chitra Gadwal (also CRA DREU) JFLAP: Julian Genkins and picture Students Summer 2010 Alice: Liz Liang (CSURF) , Jenna Hayes , Francine Wolfe (CRA DREU) Students Summer 2009 Alice: Liz Liang , Jenna Hayes , Deborah Nelson , Lana Dyck (CRAW DREU) JFLAP: Jonathan Su , Henry Qin Students Summer 2008 JFLAP: Kyung Min (Jason) Lee , Jonathan Su Alice: Henry Qin , Deborah Nelson , Ruth Tucker , Jenna Hayes , Gaetjens Lezin (CRA) CRA DMP Mercedes Lopez in Summer 2007 here Students Summer 2005 JAWAA and CRA-W: Valerie Gartland - Pictures , Gabbie Gibson - Pictures JFLAP: Bart Bressler , Stephen Reading Duke Grad Job board Computer Science Internship Program (CSIP) Academic Skills IP Undergraduate Internships, Jobs, and Summer Jobs THIS IS OLD... CURIOUS Summer meetings and 2007 How to Create a Home Page Thinking of Going to Grad School? Other interests Friend's page: Girl Goes Bang Cole Rodger Photography When Lightning hits a poplar tree - they explode Hurricane Fran - what life was like during and after, Sept. 5, 1996 Ice Storm of Dec. 2002 - what life was like during and after, Dec. 6, 2002 Charlotte , Myra , and Fritz . Keeah, Selina and Moe Erich and Markus who occupy most of my time these days My cake and cookies hobby my third motorcycle Thomas who was once a grad student , who works at IBM , once was a board member of ICANN for a long time, (photo) , (caricature) , and travels with me to faraway exotic lands Volleyball , Swimming, Hiking, and Running. Some law firm in SC SHS , photos , and SHS Reunion old Sarah once lived on this boat Contact/Mailing Information Prof. Susan H. Rodger Computer Science, LSRC D237 308 Research Dr, Box 90129 Durham, NC 27708-0129 Must include BOX number on all US Mail addresses. Phone: (919)-660-6595 Email: diff --git a/src/data/compiled_bios/1581.txt b/src/data/compiled_bios/1581.txt new file mode 100644 index 0000000000..625d7c44a8 --- /dev/null +++ b/src/data/compiled_bios/1581.txt @@ -0,0 +1 @@ + Sudeepa Roy Assistant Professor Department of Computer Science Duke University 308 Research Drive Campus Box 90129 Durham, NC 27708-0129 Office: D325 LSRC Building Phone : (919)-660-6596 Fax : (919) 660-6519 E-mail : sudeepa AT cs DOT duke DOT edu Background Research Projects Funding Services Teaching Students Publications Patents I am co-chairing 11th International Workshop on Theory and Practice of Provenance ( TAPP 2019 ) with Thomas Moyer . Deadline: Feb 28, 2019 (abstract submission on Feb 21, 2019). Please submit a paper! Potential Postdocs: Duke database group has multiple postdoc positions . Send me an email for more information. Potential students: I am looking for new Ph.D. students. If you are interested in databases(theory/applications), and have a strong academic record and/or research experience, you can send me an email with your CV. If you are not a graduate student at Duke, you need to apply here , and mention my name in your application. Thanks to NIH for our grant on matching methods for causal inference (big data and networks)! It is a collaborative project with Profs. Allison Aiello (UNC Chapel Hill, Global Public Health), Cynthia Rudin (Duke Computer Science), and Alexander Volfovsky (Duke Statistical Science). Thanks to NSF for my second NSF grant on causal analysis for big data! It is a collaborative project with Profs. Lise Getoor (UCSC) and Dan Suciu (UW). Thanks to NSF for funding my FIREFly project with an NSF CAREER Award ! Background I joined the Department of Computer Science at Duke University in Fall 2015. I am a member of the Duke Database Group (a.k.a. Duke Database Devils; more about Duke Blue Devils ), which is part of the Duke Systems and Architecture Group . Before joining Duke, I was a postdoctoral research associate in the Department of Computer Science and Engineering , University of Washington where I worked with Prof. Dan Suciu and the database group . I graduated from the University of Pennsylvania with a Ph.D. in Computer and Information Science where I was advised by Prof. Susan Davidson and Prof. Sanjeev Khanna . During my Ph.D., I did two internships at IBM Research, Almaden , and received a Google PhD fellowship in Structured Data in 2011. Go to top >> Research I am broadly interested in data and information management with a focus on foundational aspects of databases and big data analysis. My current research focuses on building tools and techniques to help users leverage the maximum benefit from the available data. While my ongoing work on causality and explanations in databases directly aims to assist users get deep insights into data by providing causal analysis and rich explanations to their questions, my work in the areas of data and workflow provenance, probabilistic databases, and crowd-sourcing probes into compelling, fundamental questions that need to be answered to enable end-to-end processing and analysis of unstructured, noisy, and unreliable data in today's world while preserving its entire context. See my publications . Projects Project page for FIREFly : F ormal I nteractive R ich E xplanations on the Fly Project page for Hume : A Unified and Declarative Approach to Causal Analysis for Big Data Project page for FLAME : Fast, Large-scale, Almost Matching Exactly Go to top >> Funding NSF CAREER Award IIS-1552538 : "CAREER: FIREFLY - Rich Explanations for Database Queries". Principal Investigator. 2016-2021, $550,000. NSF Award IIS-1703431 : "III: Medium: Collaborative Research: A Unified and Declarative Approach to Causal Analysis for Big Data". PIs: Lise Getoor (University of California, Santa Cruz), Sudeepa Roy (Duke University), and Dan Suciu (University of Washington, lead institute), 2017-2020, $1,216,000 (Duke's share of the award $408,000). NIH Award 1R01EB025021-01: "QuBBD: Collaborative Research: Matching Methods for Causal Inference: Big Data and Networks". PI: Alexander Volfovsky (Duke University, Statistical Science), Co-Investigators: Allison Aiello (University of North Carolina, Chapel Hill, Global Public Health), and Sudeepa Roy and Cynthia Rudin (Duke University, Computer Science), 2017-2020, $848,708 (Duke's share of the award $513,651). Go to top >> Services Program Committee Member SIGMOD (Research Track): 2019 , 2018 , 2017 , 2015 , 2014 SIGMOD (Demonstration Track): 2016 , 2015 VLDB (VLDB Review Board): 2017 PODS: 2018 , 2016 ICDT: 2018 , 2015 ICDE (Demonstration Track): 2016 IJCAI (Special Track on AI and The Web): 2016 COMAD: 2019 , 2018 , 2017 , TaPP: 2016 , 2015 , 2013 WebDB: 2016 , 2015 HILDA: 2017 , SIGMOD Student Research Competition: 2017 SIGMOD Undergraduate Research Competition: 2016 VLDB Ph.D. Workshop: 2016 Organization Co-Chair: ICDE 2017 Ph.D. symposium Mentorship Co-Chair: SIGMOD/PODS 2017 Local Organization Co-Chair: SIGMOD/PODS 2017 Award Committee Member Test-of-Time Award Committee for ICDT 2015 External Reviewer Frequent reviewer of ACM Transactions on Database Systems (TODS), IEEE Transactions on Knowledge and Data Engineering (TKDE), VLDB Journal ACM Transactions on Algorithms, SIAM Journal on Computing PODS (2013, 2011), VLDB (2010), SODA (2010) Go to top >> Teaching Spring 2019: CompSci 316 -- Introduction to Database Systems Fall 2018: CompSci 516 -- Database Systems Fall 2017: CompSci 516 -- Database Systems Spring 2017: CompSci 316 -- Introduction to Database Systems Fall 2016: CompSci 516 -- Data Intensive Computing Systems Spring 2016: CompSci 516 -- Data Intensive Computing Systems Fall 2015: CompSci 590.06 -- Understanding Data: Theory and Applications Go to top >> Students I am fortunate to work with a number of wonderful students at Duke! (and the list below does not include the great students from other schools I work with). Current students Prajakta Kalmegh (PhD, co-advised with Shivnath Babu) Zhengjie Miao (PhD) Harsh Parikh (PhD, co-advised with Cynthia Rudin ) Amir Gilad (PhD, visiting student from Tel Aviv University, advised by Daniel Deutch ) Cheryl Wang (undergraduate) Former students Frederick Xu (Undergraduate, 2019, Honorable mention for the Computing Research Association's (CRA) Outstanding Undergraduate Researcher Award for 2019) Harrison Lundberg (Undergraduate, 2018, First employment: Amazon, Co-winner of the Alex Vasilos award for Excellence in Computer Science Research) Xiaodan Zhu (MS, 2016, First Employment: CISCO) Andrew Lee (MS, 2018) Go to top >> Publications ( by topic ) Book Chapter Uncertain Data Lineage [pdf] . Encyclopedia of Database Systems, Springer, 2017. Provenance: Privacy and Security [pdf] . (with Susan Davidson) Encyclopedia of Database Systems, Springer, 2017. Tutorial Causality and Explanations in Databases [pdf] [slides] . (with Alexandra Meliou and Dan Suciu) International Conference on Very Large Data Bases (VLDB) 2014. Journal Publication Exact Model Counting of Query Expressions: Limitations of Propositional Methods [pdf] . (with Paul Beame, Jerry Li, and Dan Suciu) ACM Transactions on Database Systems (TODS), Vol. 42, Issue 1, pages 1:1-1:46, March 2017. Answering Conjunctive Queries with Inequalities [pdf] . (with Paraschos Koutris, Tova Milo, and Dan Suciu) Theory of Computing Systems (TOCS), Springer, Vol. 61, Number 1, pages 2-30, 2017. Top-k and Clustering with Noisy Comparisons [pdf] . (with Susan B. Davidson, Sanjeev Khanna, and Tova Milo) ACM Transactions on Database Systems (TODS), Vol. 39, Issue 4, pages 35:1--35:39, December 2014 (best paper special issue). Invited Article Query Perturbation Analysis: An Adventure of Database Researchers in Fact-Checkings [pdf] . (with Jun Yang, Pankaj K. Agarwal, Sudeepa Roy, Brett Walenz, You Wu, Cong Yu, and Chengkai Li) IEEE Data Engineering Bulletin 2018 (41(3), pages 28-42) On the Complexity of Evaluating Order Queries with the Crowd [pdf] . (with Benoit Groz and Tova Milo) IEEE Data Engineering Bulletin 2015 (38(3), pages 44-58) Manuscript FLAME: A Fast Large-scale Almost Matching Exactly Approach to Causal Inference [arxiv] . (with Cynthia Rudin, Alexander Volfovsky, and Tianyu Wang) Draft on Arxiv, 2017 (eprint arXiv:1707.06315) Analyzing Query Performance and Attributing Blame for Contentions in a Cluster Computing Framework [arxiv] . (with Prajakta Kalmegh and Shivnath Babu) Draft on Arxiv, 2017 (eprint arXiv:1708.08435) Conference Publication Almost-Exact Matching with Replacement for Causal Inference [arxiv] . (with Awn Dieng, Yameng Liu, Cynthia Rudin, and Alexander Volfovsky) To appear in International Conference on Artificial Intelligence and Statistics (AISTATS), 2019. Explaining Wrong Queries Using Small Examples . (with Zhengjie Miao and Jun Yang) To appear in ACM SIGMOD International Conference on Management of Data (SIGMOD), 2019. Going Beyond Provenance: Explaining Query Answers with Pattern-based Counterbalances [pdf] . (with Zhengjie Miao, Qitian Zeng, and Boris Glavic) To appear in ACM SIGMOD International Conference on Management of Data (SIGMOD), 2019. Interactive Summarization and Exploration of Top Aggregate Query Answers [pdf] . (with Yuhao Wen, Xiaodan Zhu, and Jun Yang) Proceedings of the VLDB Endowment (PVLDB) 2018, Vol 11 Issue 13/VLDB 2019. Computing Optimal Repairs for Functional Dependencies [arxiv] . (with Ester Livshits and Benny Kimelfeld) Principles of Database Systems (PODS) 2018. iQCAR: A demonstration of an Inter-query Contention Analyzer for Cluster Computing Frameworks [pdf] . (with Prajakta Kalmegh, Harrison Lundberg, Frederick Xu, and Shivnath Babu) ACM SIGMOD International Conference on Management of Data (SIGMOD), demonstration track, 2018. QAGView: Interactively Summarizing High-Valued Aggregate Query Answers [pdf] . (with Yuhao Wen, Xiaodan Zhu, and Jun Yang) ACM SIGMOD International Conference on Management of Data (SIGMOD), demonstration track, 2018. iQCAR: Inter-Query Contention Analyze . (with Prajakta Kalmegh and Shivnath Babu) To appear in Symposium on Cloud Computing (SOCC), Poster, 2018. Optimizing Iceberg Queries with Complex Joins [pdf] . (with Brett Walenz and Jun Yang) ACM SIGMOD International Conference on Management of Data (SIGMOD) 2017. Explaining Query Answers with Explanation-Ready Databases [pdf] [slides] . (with Laurel Orr and Dan Suciu) Proceedings of the VLDB Endowment (PVLDB) Vol 9/VLDB 2016. Answering Conjunctive Queries with Inequalities [pdf] . (with Paraschos Koutris, Tova Milo, and Dan Suciu) International Conference on Database Theory (ICDT) 2015 A Formal Approach to Finding Explanations for Database Queries [pdf] [slides] . (with Dan Suciu) ACM SIGMOD International Conference on Management of Data (SIGMOD) 2014. Circuits for Datalog Provenance [pdf] [slides] . (with Daniel Deutch, Tova Milo, and Val Tannen) International Conference on Database Theory (ICDT) 2014. Model Counting of Query Expressions: Limitations of Propositional Methods [pdf] . (with Paul Beame, Jerry Li, and Dan Suciu) International Conference on Database Theory (ICDT) 2014. Invited to ACM TODS as one of the best papers in ICDT 2014 Lower Bounds for Exact Model Counting and Applications in Probabilistic Databases [pdf] [slides] . (with Paul Beame, Jerry Li, and Dan Suciu) Conference on Uncertainty in Artificial Intelligence (UAI) 2013. Provenance-based Dictionary Refinement in Information Extraction [pdf] [slides] . (with Laura Chiticariu, Vitaly Feldman, Frederick R Reiss and Huaiyu Zhu) ACM SIGMOD International Conference on Management of Data (SIGMOD) 2013. Using the Crowd for Top-k and Group-by Queries [pdf] [slides] . (with Susan B. Davidson, Sanjeev Khanna and Tova Milo) International Conference on Database Theory (ICDT) 2013. Invited to ACM TODS as one of the best papers in ICDT 2013 A Propagation Model for Provenance Views of Public/Private Workflows [pdf] [slides] . (with Susan B. Davidson and Tova Milo) International Conference on Database Theory (ICDT) 2013. Queries with Difference on Probabilistic Databases [pdf] [slides] . (with Sanjeev Khanna and Val Tannen) International Conference on Very Large Data Bases (VLDB) 2011. Provenance Views for Module Privacy [pdf] [slides] . (with Susan B. Davidson, Sanjeev Khanna, Tova Milo, and Debmalya Panigrahi) Principles of Database Systems (PODS) 2011. Faster Query Answering in Probabilistic Databases using Read-Once Functions [pdf] [slides] . (with Vittorio Perduca and Val Tannen) International Conference on Database Theory (ICDT) 2011. Enabling Privacy in Provenance-Aware Workflow Systems [pdf] . (with Susan Davidson, Sanjeev Khanna, Julia Stoyanovich, Val Tannen, Yi Chen and Tova Milo) Vision Track, Conference on Innovative Data Systems Research (CIDR) 2011. An Optimal Labeling Scheme for Workflow Provenance Using Skeleton Labels [pdf] . (with Zhuowei Bao, Susan Davidson and Sanjeev Khanna) ACM SIGMOD International Conference on Management of Data (SIGMOD) 2010. Optimizing User Views for Workflows [pdf] [slides] . (with Olivier Biton, Susan Davidson and Sanjeev Khanna) International Conference on Database Theory (ICDT) 2009. STCON in Directed Unique-Path Graphs [pdf] [slides] . (with Sampath Kannan and Sanjeev Khanna) Foundations of Software Technology and Theoretical Computer Science (FSTTCS) 2008. Automatic Translation of Simulink Models into Input Language of a Model Checker [pdf] . (with Meenakshi B. and Abhishek Bhatnagar) International Conference on Formal Engineering Methods (ICFEM) 2006. Workshop and Other Publication Hiding Data and Structure in Workflow Provenance [pdf] . (with Susan B. Davidson and Zhuowei Bao) Invited paper, International Workshop on Databases in Networked Information Systems (DNIS) 2011. On provenance and privacy [pdf] . (with Susan Davidson, Sanjeev Khanna, Julia Stoyanovich, Val Tannen and Yi Chen) Keynote by Prof. Susan Davidson and invited paper, International Conference on Database Theory (ICDT) 2011. Privacy Issues in Scientific Workflow Provenance [pdf] [slides] . (with Susan Davidson, Sanjeev Khanna and Sarah Cohen Boulakia) International Workshop on Workflow Approaches to New Data-centric Science (WANDS) 2010. Ph.D. Dissertation Provenance and Uncertainty [pdf] . Sudeepa Roy University of Pennsylvania, August 2012 Go to top >> Patents Refining a dictionary for information extraction . (with Laura Chiticariu, Vitaly Feldman, Frederick Reiss, and Huaiyu Zhu) Assignee: International Business Machines Corporation (IBM) Publication Number: US 8775419 B2, 2014 Automatic Translation of Simulink Models into Input Language of a Model Checker . (with Meenakshi B. and Abhishek Bhatnagar) Assignee: Honeywell International Inc. Publication Number: US 7698668 B2, 2010 Go to top >> Last updated on September 11, 2018. diff --git a/src/data/compiled_bios/1582.txt b/src/data/compiled_bios/1582.txt new file mode 100644 index 0000000000..7d4e250279 --- /dev/null +++ b/src/data/compiled_bios/1582.txt @@ -0,0 +1 @@ + Cynthia Rudin Home Prediction AnalysisLab Papers Code Teaching Announcements Media,Talks CV Personal Cynthia Rudin Associate Professor of Computer Science and Electrical and Computer Engineering PI, Prediction Analysis Lab Duke University Office: LSRC D342 Research Drive Durham NC, 27708 USA Research: My research focuses on machine learning tools that help humans make better decisions. This includes the design of algorithms for interpretable machine learning, interpretable policy design, variable importance measures, causal inference methods, new forms of decision theory, ranking methods that assist with prioritization, uncertainty quantification, and methods that can incorporate domain-based constraints and other types of domain knowledge into machine learning. These techniques are applied to critical societal problems in criminology, healthcare, and energy grid reliability. The interpretable machine learning algorithms heavily rely on efficient discrete optimization techniques and Bayesian hierarchical modeling. Bio: Cynthia Rudin is an associate professor of computer science, electrical and computer engineering, and statistics at Duke University, and directs the Prediction Analysis Lab. Previously, Prof. Rudin held positions at MIT, Columbia, and NYU. She holds an undergraduate degree from the University at Buffalo, and a PhD in applied and computational mathematics from Princeton University. She is the recipient of the 2013 and 2016 INFORMS Innovative Applications in Analytics Awards, an NSF CAREER award, was named as one of the Top 40 Under 40 by Poets and Quants in 2015, and was named by Businessinsider.com as one of the 12 most impressive professors at MIT in 2015. Work from her lab has won 10 best paper awards in the last 5 years. She is past chair of the INFORMS Data Mining Section, and is currently chair of the Statistical Learning and Data Science section of the American Statistical Association. She also serves on (or has served on) committees for DARPA, the National Institute of Justice, the National Academy of Sciences (for both statistics and criminology/law), and AAAI. Page generated 2018-10-10, by jemdoc . diff --git a/src/data/compiled_bios/1583.txt b/src/data/compiled_bios/1583.txt new file mode 100644 index 0000000000..3a88a7ab00 --- /dev/null +++ b/src/data/compiled_bios/1583.txt @@ -0,0 +1 @@ + search Main Menu Undergraduate Overview Degree Programs BSE Degree Planning Areas of Concentration Minor in ECE 4+1: BSE+Master's Degree For Applicants Why ECE? Why Duke? Where Students Go Frequently Asked Questions Visiting Campus Computer Science vs. ECE Enrollment and Graduation Rates For Current Students Courses Independent Study Research Opportunities Student Groups Internships and Career Planning Graduation with Distinction Senior Design Awards and Honors Student Learning Outcomes Research Experiences for Undergraduates (REU) Diversity & Inclusion Graduate Why Choose Duke ECE? Compare Our Degrees How to Apply PhD PhD Career Outcomes Meet Our Students Frequently Asked Questions Master's Degrees Master of Science (MS) Master of Engineering (MEng) Master's Career Outcomes Frequently Asked Questions Certificates & Training Programs Online Courses Graduate Courses For Current Students Courses and Registration Student Groups TA Training Apply for Fellowships Masters Research Opportunities Career Services DEEP SEA Startup Accelerator DEEP SEA Application Diversity & Inclusion Promoting an Inclusive Environment Research Overview Computer Engineering Engineering Physics Microelectronics, Photonics and Nanotechnology Signal and Information Processing and Robotics Centers and Labs Faculty All Faculty Computer Engineering Faculty Engineering Physics Faculty Microelectronics, Photonics and Nanotechnology Faculty Signal and Information Processing Faculty Awards & Recognition About From the Chair Facts & Stats Mission and Vision Alumni Profiles Driving Directions News Media Coverage Entrepreneurship Stories Research News Email Newsletter Events Seminars Past Seminars CS-ECE Distinguished Seminar Series Quick Links Apply Careers Contact Directions Skip to main content Duke University Pratt School of Engineering Apply Contact Careers search Undergraduate Overview Degree Programs For Applicants For Current Students Research Experiences for Undergraduates (REU) Diversity & Inclusion Graduate Why Choose Duke ECE? Compare Our Degrees How to Apply PhD Master's Degrees Certificates & Training Programs Online Courses Graduate Courses For Current Students Diversity & Inclusion Research Overview Computer Engineering Engineering Physics Microelectronics, Photonics and Nanotechnology Signal and Information Processing and Robotics Centers and Labs Faculty All Faculty Computer Engineering Faculty Engineering Physics Faculty Microelectronics, Photonics and Nanotechnology Faculty Signal and Information Processing Faculty Awards & Recognition About From the Chair Facts & Stats Mission and Vision Alumni Profiles Driving Directions News Events Guillermo Sapiro James B. Duke Professor of Electrical and Computer Engineering Guillermo Sapiro received his B.Sc. (summa cum laude), M.Sc., and Ph.D. from the Department of Electrical Engineering at the Technion, Israel Institute of Technology, in 1989, 1991, and 1993 respectively. After post-doctoral research at MIT, Dr. Sapiro became Member of Technical Staff at the research facilities of HP Labs in Palo Alto, California. He was with the Department of Electrical and Computer Engineering at the University of Minnesota, where he held the position of Distinguished McKnight University Professor and Vincentine Hermes-Luh Chair in Electrical and Computer Engineering. Currently he is the Edmund T. Pratt, Jr. School Professor with Duke University. G. Sapiro works on theory and applications in computer vision, computer graphics, medical imaging, image analysis, and machine learning. He has authored and co-authored over 300 papers in these areas and has written a book published by Cambridge University Press, January 2001. G. Sapiro was awarded the Gutwirth Scholarship for Special Excellence in Graduate Studies in 1991, the Ollendorff Fellowship for Excellence in Vision and Image Understanding Work in 1992, the Rothschild Fellowship for Post-Doctoral Studies in 1993, the Office of Naval Research Young Investigator Award in 1998, the Presidential Early Career Awards for Scientist and Engineers (PECASE) in 1998, the National Science Foundation Career Award in 1999, andthe National Security Science and Engineering Faculty Fellowship in 2010.He received the test of time award at ICCV 2011. He was elected to the American Academy of Arts and Sciences on 2018. G. Sapiro is a Fellow of IEEE and SIAM. G. Sapiro was the founding Editor-in-Chief of the SIAM Journal on Imaging Sciences. Appointments and Affiliations James B. Duke Professor of Electrical and Computer Engineering Professor of Electrical and Computer Engineering Professor of Computer Science Professor of Mathematics Faculty Network Member of the Duke Institute for Brain Sciences Contact Information Email Address: guillermo.sapiro@duke.edu Websites: Google Scholar Sapiro Lab Education D.Sc. Israel Institute of Technology, 1993 Research Interests Image and video processing, computer vision, computer graphics, computational vision, biomedical imaging, brain imaging, cryo-tomography of viruses, computational tools in cryo-tomography, computational tools in early diagnosis of psychiatric disorders, differential geometry and differential equations, scientific computation, learning and high dimensional data analysis, sparse modeling and dictionary learning, applied mathematics. Awards, Honors, and Distinctions Member American Academy of Arts and Sciences. American Academy of Arts and Sciences. 2018 Distinguished Israel Pollack Lecturer, Technion, Haifa.. Technion, Israel. 2016 Plenary Speaker, European Signal Processing Conference (EUSIPCO). EUSIPCO. 2014 Fellows. Institute for Electrical and Electronics Engineers. 2014 Member, National Academies Board on Mathematical Sciences and their Applications (BMSA).. National Academies. 2014 Science Advisory Board, Institute for Computational and Experimental Research in Mathematics (ICERM), Brown University.. ICERM. 2014 Fellow. Society for Industrial and Applied Mathematics. 2013 Helmholtz Prize. IEEE Computer Society. 2011 National Security Science and Engineering Faculty Fellows. Department of Defense. 2010 Courses Taught BME 791: Graduate Independent Study COMPSCI 391: Independent Study ECE 392: Projects in Electrical and Computer Engineering ECE 493: Projects in Electrical and Computer Engineering ECE 494: Projects in Electrical and Computer Engineering ECE 588: Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital ECE 590: Advanced Topics in Electrical and Computer Engineering ECE 891: Internship EHD 395: Bass Connections: Interdisciplinary Team Projects EHD 396: Bass Connections: Interdisciplinary Team Projects EHD 795: Bass Connections: Interdisciplinary Team Projects EHD 796: Bass Connections: Interdisciplinary Team Projects In the News Mobile App for Autism Screening Yields Useful Data (Jun 1, 2018) Four Faculty Members Elected to American Academy of Arts & Sciences (Apr 18, 2018) Removing Blurred Lines Caused by Shaky Hands (Jun 8, 2017 | Pratt School of Engineering) A MindAnd an EarFor Big Data (Feb 27, 2017 | Pratt School of Engineering) New Collaborative Seed Grant Program Gives Eight Awards (Mar 16, 2016) New app may help diagnose autism in children (Jan 4, 2016 | The Times of India) Could this iPhone app transform how we diagnose autism? (Oct 15, 2015 | Vox.com) Duke Launches Autism Research App (Oct 14, 2015) 'Painting' Medieval Statues: Jordan Hashemi's Bass Connections Pathway (Aug 14, 2015) Guillermo Sapiro on innovative approaches to autism diagnoses (May 20, 2015) Duke Receives $9.75 Million for Big Data Initiative (Apr 27, 2015) Burst Photography: A Method to Remove Image Blur (Apr 20, 2015) Big Insights, Little People: Duke Researchers Brief Officials on Childhood Mental Disorders (Dec 11, 2014) Putting Big Data to Work in Autism Diagnosis (Nov 25, 2014) Representative Publications Kim, J; Duchin, Y; Shamir, RR; Patriat, R; Vitek, J; Harel, N; Sapiro, G, Automatic localization of the subthalamic nucleus on patient-specific clinical MRI by incorporating 7 T MRI and machine learning: Application in deep brain stimulation. , Human Brain Mapping, vol 40 no. 2 (2019), pp. 679-698 [ 10.1002/hbm.24404 ] [ abs ]. Bovery, MDMJ; Dawson, G; Hashemi, J; Sapiro, G, A Scalable Off-the-Shelf Framework for Measuring Patterns of Attention in Young Children and its Application in Autism Spectrum Disorder , Ieee Transactions on Affective Computing (2019), pp. 1-1 [ 10.1109/taffc.2018.2890610 ] [ abs ]. Dawson, G; Campbell, K; Hashemi, J; Lippmann, SJ; Smith, V; Carpenter, K; Egger, H; Espinosa, S; Vermeer, S; Baker, J; Sapiro, G, Atypical postural control can be detected via computer vision analysis in toddlers with autism spectrum disorder. , Scientific Reports, vol 8 no. 1 (2018) [ 10.1038/s41598-018-35215-8 ] [ abs ]. Aguerrebere, C; Delbracio, M; Bartesaghi, A; Sapiro, G, A Practical Guide to Multi-Image Alignment , 2015 Ieee International Conference on Acoustics, Speech, and Signal Processing (Icassp), vol 2018-April (2018), pp. 1927-1931 [ 10.1109/ICASSP.2018.8461588 ] [ abs ]. Ahn, HK; Qiu, Q; Bosch, E; Thompson, A; Robles, FE; Sapiro, G; Warren, WS; Calderbank, R, Classifying Pump-Probe Images of Melanocytic Lesions Using the WEYL Transform , 2015 Ieee International Conference on Acoustics, Speech, and Signal Processing (Icassp), vol 2018-April (2018), pp. 4209-4213 [ 10.1109/ICASSP.2018.8461298 ] [ abs ]. Faculty All Faculty Computer Engineering Faculty Engineering Physics Faculty Microelectronics, Photonics and Nanotechnology Faculty Signal and Information Processing Faculty Awards & Recognition Copyright 2011-2019 Duke University diff --git a/src/data/compiled_bios/1584.txt b/src/data/compiled_bios/1584.txt new file mode 100644 index 0000000000..6cd3eb83bc --- /dev/null +++ b/src/data/compiled_bios/1584.txt @@ -0,0 +1 @@ +Daniel J. Sorin Addy Professor Contact Info PO Box 90291 Durham, NC 27708 Research Processors for robotics Verification-aware microarchitecture Applying coding theory to computer architecture Fault-tolerant computer architecture Publications CV Service : Editor-in-Chief of Computer Architecture Letters Teaching Spring 2019: Fall 2018: Spring 2017: Fall 2016: Spring 2016: Fall 2015: Spring 2015: Fall 2014: Spring 2014: ECE/CS 250: Computer Architecture ECE 552/CS 550: Advanced Computer Archtitecture I ECE/CS 250: Computer Architecture ECE/CS 554: Fault Tolerant and Testable Computing Systems ECE/CS 250: Computer Architecture ECE 552/CS 550: Advanced Computer Archtitecture I ECE/CS 554: Fault Tolerant and Testable Computing Systems ECE/CS 250: Computer Architecture ECE 652/CS 650: Advanced Computer Architecture II Advisees Lucy Chikwetu George Mappouras Atefeh Mehrabi Sean Murray PhD Alumni Fred Bower, PhD 2010 (IBM / Lenovo) Blake Hechtman, PhD 2014 (Oracle / Google) Adam Jacobvitz, PhD 2014 (SanDisk) Tong Li, PhD 2005 (Intel Research / Lenovo) Anita Lungu, PhD 2009 (Lyra Health) Luwa Matthews, PhD 2017 (postdoc, Princeton U.) Albert Meixner, PhD 2008 (Nvidia / Google) Ralph Nathan, PhD 2015 (Google) Bogdan Romanescu, PhD 2010 (Microsoft / Uber / Salesforce) Meng Zhang, PhD 2013 (Oracle) Pratt Fellow Undergraduate Researcher Alumni Martha Barker, BSE 2015 (Oracle) Michael Bauer, BSE 2008 (Stanford PhD) Will Floyd-Jones, BSE 2017 (Realtime Robotics) Derek Hower, BSE 2006 (Wisconsin PhD) John Ingalls, BSE 2011 (Qualcomm) Yaqi Zhang, BSE 2015 (Stanford PhD) diff --git a/src/data/compiled_bios/1585.txt b/src/data/compiled_bios/1585.txt new file mode 100644 index 0000000000..e3e1afd2ae --- /dev/null +++ b/src/data/compiled_bios/1585.txt @@ -0,0 +1 @@ + Rebecca C. Steorts Home Research Papers Software Teaching Group Bio Assistant Professor of Statistical Science, Duke University affiliated faculty in Computer Science affiliated faculty in Biostatistics and Bioinformatics affiliated faculty in information initiative at Duke affiliated faculty in Social Science Research Insitute I am an Assistant Professor of Statistical Science at Duke University. Previously, I was a Visiting Assistant Professor in the Department of Statistics at Carnegie Mellon University from 2012 -- 2015, working with Stephen E. Fienberg. My PhD is from the University of Florida under the supervision under the supervision of Malay Ghosh. My research interests are in computationally scalable approaches to social science applications, where I focus on recovering high dimensional objects from degraded data and determining how to recover the underlying structure. Methods used for this are entity resolution, small area estimation, locality sensitive hashing, and privacy-preserving record linkage as applied to medical studies, fmri studies, human rights violations, and estimation of poverty rates in hard to reach domains. Research interests: entity resolution (record linkage), clustering, Bayesian methodology and applications, machine learning, locality sensitive hashing, privacy-preserving record linkage, decision theory, survey methodology, small area estimation, and Markov chain Monte Carlo methods. If you are a student interested in working with my research group, please set up a time to meet with me via email (and also first take a look at my research page and current projects that we are working on). Recent News Andee Kaplan joins research group as postdoctoral fellow, August 2017 Steorts receives NSF Career Award, April 2017 Angie Shen receives Honorable Mention for Faculty Scholar Award, Duke University, 2017 Angie Shen receives Sirena WuDunn Memorial Scholarship, Duke University, 2016 and 2017 Started program Youth in Machine Learning (YiML) program Launch of Youth in Machine Learning (YiML) program! Postdoctoral student Brenda Betancourt wins Foerster-Bernstein Postdoctoral Fellowship, December 2015 . Upcoming short course on Teaching Bayes: the Essential Parts with Abbas Zaidi . Our paper on microclustering Bayesian nonparameteric clustering tasks with sublinear growth received a spotlight presentation at the BNP NIPS workshops NIPS 2015 Check out our Blocking Methods Applied to Casualty Records from the Syrian Conflict paper applying locality sensitive hashing to the Syrian conflict Our paper A Bayesian Approach to Graphical Record Linkage and De-duplication is to appear in JASA, Theory and Applications. Check out our empirically motivated record linkage paper in special issue of Bayesian Analysis 2015 and Finalist for the 2016 Lindley Prize. Received a 2015 Collaborative NSF Research Grant on Record Linkage and Privacy-Preserving Methods for Big Data joint with Aleksandra B. Slavkovic Awarded a 2014 Metknowledge Network Grant via the John Templeton Foundation Awarded the 35 Innovator's under 35 by MIT review Magazine MIT 35 under 35 , September/October Issue. Gave spotlight talk for 35 under 35 Innovator's Award EmTech 2015 , for humanitarian software applied to Syrian conflict. Contact Information Department of Statistical Science Duke University Durham, NC email: beka AT stat DOT duke "Sometimes it is the people no one can imagine anything of who do the things no one can imagine." -- Alan Turing Copyright 2013 Rebecca Steorts diff --git a/src/data/compiled_bios/1586.txt b/src/data/compiled_bios/1586.txt new file mode 100644 index 0000000000..c558917443 --- /dev/null +++ b/src/data/compiled_bios/1586.txt @@ -0,0 +1 @@ + Kristin Stephens-Martinez ksm [at] cs.duke.edu Assistant Professor of the Practice Computer Science Department D224 LSRC, Research Drive, Box 90129 Duke University Durham, NC 27708 About Me I am an Assistant Professor of the Practice at Duke University in the Computer Science Department . I received my Ph.D. in Computer Science at UC Berkeley . My Master's research work, also at UC Berkeley , is in computer networking with Vern Paxson . My research interest lies at the intersection of education and computer science focusing on using data available in large classrooms (both local and MOOCs), and I was advised by Armando Fox . I used to sit in the Berkeley institute of design (BiD) lab. My specific research interest is on looking at the data from machine-gradable assessments, with the goal to find interpretable data-driven insights that help instructors find ways to improve their course material. I am, currently, performing a qualitative analysis on constructed response wrong answers from "What would Python display?" question sets. I then use quantitative approaches to identify common student errors and deliver guidance based on these errors to students in situ. Below are highlights from the full version of my CV . There is also information on my LinkedIn Profile . Service I am the founder and former CS-coordinator of EECS Peers at UC Berkeley . A group dedicated to supporting fellow graduate students with grad school life. At the end of Fall 2016, I finished running an EECS Peers small group as an experiment with first-year graduate students in education research. We read 57 Ways to Screw Up in Grad School: Perverse Professional Lessons for Graduate Students , which I highly recommend. In 2012-2013 I served as the computer science co-president for Women In Computer Science and Electrical engineering (WICSE) . Moreover, I have volunteered as a role model at Techbridge , an after-school program to inspire girls in technology, science, and engineering. At UC Berkeley I mentored ten undergraduate researchers. I, also, participated in the WICSE Graduate Little Sisters program; mentoring five graduate women over four years. Finally, I have participated in the WICSE Undergraduate Little Sisters program for three years, mentoring four undergrad women. One went on to graduate school at John Hopkins and the other three to industry. Teaching I have served as a teaching assistant for six semesters for a total of five courses. Two of the courses were for introductory computer science, one for computer science majors (CS61A, UCB) and the other for non-majors (CMSC198K, UMD). Two of the courses were for third and fourth-year undergraduates, covering networking (EE122, UCB) and software engineering (CS169, UCB). The final course was an undergraduate seminar that I co-instructed and created a large portion of the material for (CS194-25, UCB). CS169 and EE122 involved over 100 students and CS61A included over 1,000 in Fall 2015 and over 800 in Spring 2016. As an undergraduate, I served as a reader, who graded assignments and held office hours. Undergraduate at The University of Maryland, College Park I graduated summa cum laude from the University of Maryland, College Park (UMD) receiving my B.S. in Computer Science. I worked in a variety of research areas while at Maryland including software engineering with FindBugs , artificial intelligence by applying genetic algorithms to swarm intelligence, and computer networking. Projects Identifying and Delivering Guidance on Student Errors (current) Massive Open Online Course (MOOC) Dashboard (past) Publications Kristin Stephens-Martinez , Armando Fox. 2018. Giving Hints is Complicated: Understanding the challenges of an automated hint system based on frequent wrong answers . In Proceedings of the 23rd Annual ACM Conference on Innovation and Technology in Computer Science Education 2018. ACM ITiCSE '18. [ pdf ] Kristin Stephens-Martinez , Krishna Parashar, Regina Ongowarsito, Nikunj Jain, Kavi Gupta, Armando Fox. 2018. Giving Hints is Complicated: Understanding the challenges of an automated hint system based on frequent wrong answers . Bay Area Learning Analytics Conference 2018. BayLAN '18. (poster) [ pdf ] Kristin Stephens-Martinez , An Ju, Krishna Parashar, Regina Ongowarsito, Nikunj Jain, Sreesha Venkat, Armando Fox. 2017. Taking Advantage of Scale by Analyzing Frequent Constructed-Response, Code Tracing Wrong Answers ACM International Computing Education Research 2017. ACM ICER '17. [ pdf ] Kristin Stephens-Martinez , An Ju, Colin Schoen, John DeNero, Armando Fox. Identifying Student Misunderstandings using Constructed Responses. Extended Abstract at Learning At Scale 2016. ACM L@S '16. [ extended abstract pdf ] [ poster pdf ] [ YouTube Playlist ] Kristin Stephens-Martinez , Marti A. Hearst, and Armando Fox. 2014. Monitoring MOOCs: Which Information Sources Do Instructors Value? ACM Learning At Scale 2014. ACM L@S '14. [ pdf ] [ slides ] Kristin Stephens , Shaddi Hasan, and Yahel Ben-David. 2012. MultiWAN: WAN Aggregation for Developing Regions. In Proceedings of the 2nd ACM Symposium on Computing for Development. ACM DEV '12. (poster) [ pdf ] Brian Cole, Dan Hakim, Dave Hovemeyer, Reuven Lazarus, William Pugh, and Kristin Stephens . 2006. Improving your software using static analysis to find bugs. In Companion To the 21st ACM SIGPLAN Symposium on Object-Oriented Programming Systems, Languages, and Applications. OOPSLA '06. [ pdf ] Technical Reports (Ph.D. Thesis) K. Stephens-Martinez , Serving CS Formative Feedback on Assessments Using Simple and Practical Teacher-Bootstrapped Error Models, EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2017-166, Nov. 2017. (Master's Report) Kristin Stephens . 2013. Towards Sound HTTP Request Causation Inference. EECS Department, University of California, Berkeley. UCB/EECS-2013-141 Teaching Duke University CompSci 101 Introduction to Computer Science (Fall 2018) CompSci 101 Introduction to Computer Science (Spring 2018) , Co-teaching with Owen Astrachan University of CA, Berkeley CS169 Software Engineering (Fall 2016, Teaching Assistant, Armando Fox ) CS61A The Structure and Interpretation of Computer Programs (Spring 2016, Teaching Assistant, Paul Hilfinger ) CS61A The Structure and Interpretation of Computer Programs (Fall 2015, Teaching Assistant, John DeNero ) CS194-25 Special topics: Building Your Next Generation Education Technologies (Fall 2012, Teaching Assistant/Co-Instructor, Dawn Song ) EE122 Introduction to Communication Networks (Fall 2011, Teaching Assistant, Scott Shenker ) University of MD, College Park CMSC198K The Science Behind Computing (Fall 2009, Teaching Assistant, Bobby Bhattacharjee and Samir Khuller ) CMSC131 Object Oriented Programming I (Spring 2008, Teaching Assistant, Jan Plane ) CMSC106 Intro to C Programming (Fall 2007, Teaching Assistant, Jan Plane ) Students Master's Students Ji Yeon Kim Affiliations Association for Computing Machinery Honors and Awards Outstanding Graduate Student Instructor - UC Berkeley National Science Foundation Graduate Research Fellowship UC Berkeley Chancellor's fellowship Outstanding Undergraduate of 2009 for The College of Computational, Mathematical, and Physical Sciences (UMD) UMD CS Department Teaching Excellence Award for an Undergraduate Teaching Assistant Misc CS61A Stuff I love arts and crafts, especially crochet , as well as making origami earrings , chocolates, and other crafts that catch my eye. In an attempt to keep a record of my creations I write about them on my blog Hobby Sanity . diff --git a/src/data/compiled_bios/1587.txt b/src/data/compiled_bios/1587.txt new file mode 100644 index 0000000000..a5d64d2cb4 --- /dev/null +++ b/src/data/compiled_bios/1587.txt @@ -0,0 +1 @@ + search Main Menu Undergraduate Overview Degree Programs BSE Degree Planning Areas of Concentration Minor in ECE 4+1: BSE+Master's Degree For Applicants Why ECE? Why Duke? Where Students Go Frequently Asked Questions Visiting Campus Computer Science vs. ECE Enrollment and Graduation Rates For Current Students Courses Independent Study Research Opportunities Student Groups Internships and Career Planning Graduation with Distinction Senior Design Awards and Honors Student Learning Outcomes Research Experiences for Undergraduates (REU) Diversity & Inclusion Graduate Why Choose Duke ECE? Compare Our Degrees How to Apply PhD PhD Career Outcomes Meet Our Students Frequently Asked Questions Master's Degrees Master of Science (MS) Master of Engineering (MEng) Master's Career Outcomes Frequently Asked Questions Certificates & Training Programs Online Courses Graduate Courses For Current Students Courses and Registration Student Groups TA Training Apply for Fellowships Masters Research Opportunities Career Services DEEP SEA Startup Accelerator DEEP SEA Application Diversity & Inclusion Promoting an Inclusive Environment Research Overview Computer Engineering Engineering Physics Microelectronics, Photonics and Nanotechnology Signal and Information Processing and Robotics Centers and Labs Faculty All Faculty Computer Engineering Faculty Engineering Physics Faculty Microelectronics, Photonics and Nanotechnology Faculty Signal and Information Processing Faculty Awards & Recognition About From the Chair Facts & Stats Mission and Vision Alumni Profiles Driving Directions News Media Coverage Entrepreneurship Stories Research News Email Newsletter Events Seminars Past Seminars CS-ECE Distinguished Seminar Series Quick Links Apply Careers Contact Directions Skip to main content Duke University Pratt School of Engineering Apply Contact Careers search Undergraduate Overview Degree Programs For Applicants For Current Students Research Experiences for Undergraduates (REU) Diversity & Inclusion Graduate Why Choose Duke ECE? Compare Our Degrees How to Apply PhD Master's Degrees Certificates & Training Programs Online Courses Graduate Courses For Current Students Diversity & Inclusion Research Overview Computer Engineering Engineering Physics Microelectronics, Photonics and Nanotechnology Signal and Information Processing and Robotics Centers and Labs Faculty All Faculty Computer Engineering Faculty Engineering Physics Faculty Microelectronics, Photonics and Nanotechnology Faculty Signal and Information Processing Faculty Awards & Recognition About From the Chair Facts & Stats Mission and Vision Alumni Profiles Driving Directions News Events Vahid Tarokh Rhodes Family Professor of Electrical and Computer Engineering Vahid Tarokhs research is in pursuing new formulations and approaches to getting the most out of datasets. Current projects are focused on representation, modeling, inference and prediction from data such as determining how different people will respond to exposure to certain viruses, predicting rare events from small amounts of data, formulation and calculation of limits of learning from observations, and prediction of a macaque monkey's future actions from its brain waves. Appointments and Affiliations Rhodes Family Professor of Electrical and Computer Engineering Professor of Electrical and Computer Engineering Professor of Computer Science Professor of Mathematics Contact Information Email Address: vahid.tarokh@duke.edu Websites: Vahid Tarokh's Webpage Research Interests Representation, modeling, inference and prediction from data Representative Publications Xiang, Y; Ding, J; Tarokh, V, Estimation of the Evolutionary Spectra With Application to Stationarity Test , Ieee Transactions on Signal Processing, vol 67 no. 5 (2019), pp. 1353-1365 [ 10.1109/TSP.2018.2890369 ] [ abs ]. Xiang, Y; Ding, J; Tarokh, V, Estimation of the Evolutionary Spectra With Application to Stationarity Test , Ieee Transactions on Signal Processing, vol 67 no. 5 (2019), pp. 1353-1365 [ 10.1109/TSP.2018.2890369 ] [ abs ]. Ding, J; Tarokh, V; Yang, Y, Model Selection Techniques: An Overview , Ieee Signal Processing Magazine, vol 35 no. 6 (2018), pp. 16-34 [ 10.1109/MSP.2018.2867638 ] [ abs ]. Xiang, Y; Ding, J; Tarokh, V, Evolutionary Spectra Based on the Multitaper Method with Application to Stationarity Test , 2015 Ieee International Conference on Acoustics, Speech, and Signal Processing (Icassp), vol 2018-April (2018), pp. 3994-3998 [ 10.1109/ICASSP.2018.8461443 ] [ abs ]. Banerjee, T; Whipps, G; Gurram, P; Tarokh, V, Sequential Event Detection Using Multimodal Data in Nonstationary Environments , 2018 21st International Conference on Information Fusion, Fusion 2018 (2018), pp. 1940-1947 [ 10.23919/ICIF.2018.8455835 ] [ abs ]. Faculty All Faculty Computer Engineering Faculty Engineering Physics Faculty Microelectronics, Photonics and Nanotechnology Faculty Signal and Information Processing Faculty Awards & Recognition Copyright 2011-2019 Duke University diff --git a/src/data/compiled_bios/1588.txt b/src/data/compiled_bios/1588.txt new file mode 100644 index 0000000000..699f7ddd15 --- /dev/null +++ b/src/data/compiled_bios/1588.txt @@ -0,0 +1 @@ + Vitae > Papers > Courses > Projects > Software > Contact Info > CS.Duke > ML@Duke > Duke > Carlo Tomasi Professor Computer Science Utility with all her arithmetic often miscalculates -- John Sanderson diff --git a/src/data/compiled_bios/1589.txt b/src/data/compiled_bios/1589.txt new file mode 100644 index 0000000000..ec581b7170 --- /dev/null +++ b/src/data/compiled_bios/1589.txt @@ -0,0 +1 @@ + Search form Search News People Current Members Alumni Publications Books Software Packages SHARPE SPNP SREPT Research Topics Wireless Survivability Markov Chains Stochastic Petri Nets Networking Memory System Performability Computer Arithmetic Cyber Security Software Aging and Rejuvenation Software Reliability Contact Jump to navigation Duke University Pratt School of Engineering Duke High Availability Assurance Laboratory (DHAAL) Search form Search News People Current Members Alumni Publications Books Software Packages SHARPE SPNP SREPT Research Topics Wireless Survivability Markov Chains Stochastic Petri Nets Networking Memory System Performability Computer Arithmetic Cyber Security Software Aging and Rejuvenation Software Reliability Contact Welcome Welcome to Duke High Availability Assurance Laboratory (DHAAL) led by Dr. Kishor S. Trivedi at Department of Electrical & Computer Engineering, Duke University, Durham, NC, USA. Recent News A podcast related to Prof. Trivedi's research and textbooks April 5, 2018 Tim interviewsDr. Kishor Trivedi about his teaching and writing in the area of reliability and available engineering.Check out this link . news archive Duke University Duke High Availability Assurance Laboratory (DHAAL) Contact Us Affiliations Duke Electrical & Computer Engineering Pratt Engineering 2011-2019 DUKE UNIVERSITY 2019 Duke University | Contact Us Pratt Engineering diff --git a/src/data/compiled_bios/159.txt b/src/data/compiled_bios/159.txt new file mode 100644 index 0000000000..52097d2bc5 --- /dev/null +++ b/src/data/compiled_bios/159.txt @@ -0,0 +1 @@ + MO LI GROUP Laboratory of Photonic Devices home research publications news members gallery Home Research Publications News Members Gallery < > ] Research Synopsis: Our research focuses on integrated photonic devices, optoelectronic materials, and quantum phenomena. Our interests span from fundamental physics to engineering applications. We conduct experimental study on the fundamental coupling and interaction between photons, electrons, spins and phonons in a hybrid of nanoscale devices and materials. We employ state-of-the-art top-down approaches to fabricate devices and structures with a variety of materials. We utilize integrated photonic circuits as optical breadboards to investigate and exploit the optoelectronic properties of novel materials including 2D, magnetic and quantum materials. We perform measurement over an ultrawide spectral/frequency range from radio frequency and microwave to the infrared and the visible. We measure fundamental physics parameters with the highest possible precision, develop novel devices for microwave, optical and quantum communication and computation, and build tools for chemical and biomedical sensing, medical diagnostics and neuroscience. positions Available Join us on an amazing journey of light. Postdoc: We have an immediate opening for a postdoctoral associate to work in the areas of optomechanics and integrated photonics. To inquire, please send an email including a CV to Professor Mo Li (moli96 at uw.edu). Graduate Student: We recruit new graduate students every year. Prospective graduate students interested in joining our group should apply to the PhD program in either the Department of ECE or Physics. An undergraduate degree in electrical engineering, physics, applied physics or related fields is required. We acknowledge funding support provided by: diff --git a/src/data/compiled_bios/1590.txt b/src/data/compiled_bios/1590.txt new file mode 100644 index 0000000000..bb9644697e --- /dev/null +++ b/src/data/compiled_bios/1590.txt @@ -0,0 +1 @@ + Jun Yang Professor Department of Computer Science Duke University Home Publications Students Teaching Personal I am a Professor of Computer Science at Duke University. My primary research interest lies in the area of database and data-intensive computing. I received my M.S., Ph.D. from Stanford University and B.A. from University of California, Berkeley. Here is my curriculum vitae . I co-direct the Duke Database Research Group , which is part of the Duke Systems and Architecture Group. My research has been supported by National Science Foundation, National Institute of Health, Duke University, Google, HP, and IBM. More details about my research projects can be found on my research group page . Here are some of my current and recent projects: Computational Journalism : using computing to help preserving public interest journalism (collaboration with Duke School of Public Policy). Perturbation Analysis of Database Queries : studying how perturbations of the query form and parameters affect the query result, with applications such as computational fact-checking and lead-finding. Cumulon : simplifying the development and deployment of statistical analysis programs in the cloud with automatic optimization and provisioning. RIOT : transparently bringing scalability and I/O-efficiency to statistical computing with R ; i.e., no need to rewrite your R code! 2009-2014. ProSem : Internet-scale publish/subscribe unifying data processing and dissemination. 2007-2011. DDDAS: dynamic data-driven environmental sensor network in Duke Forest (collaboration with Duke School of the Environment). 2006-2012. ERS: tracking and exploring lineage in experimental and computational workflows for biomedical research (collaboration with Duke Center for Computational Immunology). 2005-2011. DDM : techniques and applications of maintaining various forms of derived data (e.g., caches, replicas, indexes, materialized views, synopses). 2001-2008. Office: D327 Levine Science Research Center Box 90129 Duke University Durham, North Carolina 27708-0129 Tel: 919-660-6587 Fax: 919-660-6519 For visitors, directions to my office can be found here . Homepage: http://www.cs.duke.edu/~junyang/ Email: To avoid spam, I use "" to represent the email address "user@domain". Last updated Fri Dec 14 00:54:58 EST 2018 diff --git a/src/data/compiled_bios/1591.txt b/src/data/compiled_bios/1591.txt new file mode 100644 index 0000000000..72ffb0d80b --- /dev/null +++ b/src/data/compiled_bios/1591.txt @@ -0,0 +1 @@ + Home Publications Short Bio Advice Collection Useful Links Xiaowei Yang Contact 450 Research Drive Xiaowei Yang D336 LSRC Building Associate Professor Durham, NC 27708 Department of Computer Science Phone: 919-66O-6536 Duke Univiersity Fax: 919-66O-6519 E-mail: xwy.AT.cs.duke.edu Prospective Students Please apply here , or email admissions at cs dot duke dot edu. I am looking for a couple of motivated students interested in systems and networking research. Research I head the Networks and Distributed Systems (NDS) lab. My research area is in networks and distributed systems, with an emphasis on architecture design and security. My current goals are: 1) to make tomorrow's Internet more robust to failures, more resilient to attacks, and more flexible to provide new services; 2) to understand how to build new types of networks. My recent and ongoing work includes: Reliable Online Identity (onging) MobilityFirst Future Internet Architecture (onging) A new Internet routing architecture (past) A Dos-limiting network architecture (past) Robust incentive design (past) You may download all software we released from the above links. My list of publications are available here . Teaching CompSci514: Computer Networks [S'15] [F'18] CompSci356: Computer Network Architecture [S'18] [S'19] Advanced topics in network security [F'13] [F'15] CPS 114: Introduction to computer networks [S'11] [S'10] CPS 296: Hot Topics in Networked Systems [F'10] CPS 214: Computer Network and Distributed Systems [S'09] [F'09] Current and Past Students I am fortunate to work with these bright and motivated students: Xin Liu (2005-2011, now at Google) Michael Sirivianos (2006-2011, now Lecturer at Cyprus University of Technology) Ang Li Mishari I. Almishari (2006-2008 @ UCI) Yanbin Lu (2007-2008 @ UCI) Copyright 2009, webmaster@ NDS diff --git a/src/data/compiled_bios/1592.txt b/src/data/compiled_bios/1592.txt new file mode 100644 index 0000000000..2dde51c0b9 --- /dev/null +++ b/src/data/compiled_bios/1592.txt @@ -0,0 +1 @@ + search Main Menu Undergraduate Overview Degree Programs BSE Degree Planning ME/BME Double Major Certificates Aerospace Engineering Certificate Energy & the Environment Certificate 4+1: BSE+Master's Degree For Applicants Why MEMS? Why Duke? Where Students Go Enrollment and Graduation Rates Frequently Asked Questions For Current Students Courses Research and Independent Study Graduation with Distinction Senior Design Student Groups Internships & Career Planning Awards and Honors Learning Outcomes Diversity & Inclusion Graduate Why Choose Duke MEMS? Compare Our Degrees How to Apply Advising and Mentoring PhD PhD Career Outcomes Meet Our Doctoral Students Frequently Asked Questions Master's Degrees Master of Science (MS) in Mechanical Engineering and Materials Science Robotics Concentration MEng in Mechanical Engineering Robotics Concentration THRUST MEng Program MEng in Materials Science and Engineering MEng in Computational Mechanics and Scientific Computing Master's Career Outcomes Frequently Asked Questions Aerospace Graduate Certificate More Graduate Certificates For Current Students PhD and MS Study Tracks Courses and Registration TA Training Apply for Fellowships Student Groups MEMS Graduate Student Committee Career Services Life at Duke Welcome to Duke & Durham Housing & Dining Health & Safety Transportation & Parking Families International Students Diversity & Inclusion Research Overview Acoustics, Aerodynamics and Aeroelasticity Biomechanics and Biomaterials Computational Materials Science Computational Mechanics and Scientific Computing Dynamics, Controls and Human Machine Interaction Energy Technology and Thermodynamics Constructal Law Fluid Mechanics and Heat Transfer Mechanics and Materials Science Centers and Labs Latest Publications Faculty All Faculty Mechanical Faculty Materials Faculty Awards & Recognition About From the Chair Facts & Stats Project Resources & Equipment Our History Driving Directions News Media Coverage Email Newsletter Events Pearsall Lecture Series Seminars Past Seminars Grad Student Seminars Past Grad Student Seminars Quick Links Apply Careers Contact Directions Skip to main content Duke University Pratt School of Engineering Apply Contact Careers search Undergraduate Overview Degree Programs For Applicants For Current Students Diversity & Inclusion Graduate Why Choose Duke MEMS? Compare Our Degrees How to Apply Advising and Mentoring PhD Master's Degrees Aerospace Graduate Certificate More Graduate Certificates For Current Students Life at Duke Diversity & Inclusion Research Overview Acoustics, Aerodynamics and Aeroelasticity Biomechanics and Biomaterials Computational Materials Science Computational Mechanics and Scientific Computing Dynamics, Controls and Human Machine Interaction Energy Technology and Thermodynamics Fluid Mechanics and Heat Transfer Mechanics and Materials Science Centers and Labs Latest Publications Faculty All Faculty Mechanical Faculty Materials Faculty Awards & Recognition About From the Chair Facts & Stats Project Resources & Equipment Our History Driving Directions News Events Michael M. Zavlanos Mary Milus Yoh and Harold L. Yoh, Jr. Associate Professor Michael M. Zavlanos specializes in the area of networked control systems, distributed control and optimization, hybrid control, with applications to robotic, sensor, communication, and biomolecular networks. His research interests cover a range of topics in the emerging discipline of networked dynamical systems, which studies systems of physical agents interacting via a communication medium in search of joint control principles that determine network behavior. This includes a focus on robotic and sensor networks, with applications in formation flying, communication maintenance or intruder detection, as well as on biological and social networks, whose structure and operations respectively determine the way in which many diseases are formed and information is spread. Particularly interested in hybrid solution techniques, on the interface of control theory with the discrete science of networks and graphs. Appointments and Affiliations Mary Milus Yoh and Harold L. Yoh, Jr. Associate Professor Associate Professor in the Department of Mechanical Engineering and Materials Science Associate Professor in the Department of Electrical and Computer Engineering Assistant Professor of Computer Science Associate of the Duke Initiative for Science & Society Contact Information Office Location: 188 Hudson Hall, Box 90300, Durham, NC 27708 Office Phone: (919) 660-5528 Email Address: michael.zavlanos@duke.edu Websites: http://people.duke.edu/~mz61/ Education Ph.D. University of Pennsylvania, 2008 Research Interests Networked control systems, distributed control and optimization, hybrid control, with applications to robotic, sensor, communication, and biomolecular networks. Awards, Honors, and Distinctions Young Investigator Program Award. Office of Naval Research. 2014 Faculty Early Career Development (CAREER) Program. National Science Foundation. 2012 Faculty Early Career Development (CAREER) Program. National Science Foundation. 2011 Courses Taught CEE 627: Linear System Theory ECE 382: Linear Control Systems ECE 590: Advanced Topics in Electrical and Computer Engineering ME 344L: Control of Dynamic Systems ME 555: Advanced Topics in Mechanical Engineering ME 591: Research Independent Study in Mechanical Engineering or Material Science ME 592: Research Independent Study in Mechanical Engineering or Material Science ME 627: Linear System Theory In the News The Challenge: Controlling Drones After You Lose Communication With Them (Dec 6, 2018 | Pratt School of Engineering) Four Faculty Named Distinguished Professors (Jun 29, 2018) Representative Publications Freundlich, C; Zhang, Y; Zavlanos, MM, Distributed Hierarchical Control for State Estimation with Robotic Sensor Networks , Ieee Transactions on Control of Network Systems, vol 5 no. 4 (2018), pp. 2023-2035 [ 10.1109/TCNS.2017.2782481 ] [ abs ]. Lee, S; Zavlanos, MM, Approximate projection methods for decentralized optimization with functional constraints , Ieee Transactions on Automatic Control, vol 63 no. 10 (2018), pp. 3248-3260 [ 10.1109/TAC.2017.2778696 ] [ abs ]. Guo, M; Zavlanos, MM, Multirobot Data Gathering under Buffer Constraints and Intermittent Communication , Ieee Transactions on Robotics, vol 34 no. 4 (2018), pp. 1082-1097 [ 10.1109/TRO.2018.2830370 ] [ abs ]. Kantaros, Y; Zavlanos, MM, Sampling-Based Optimal Control Synthesis for Multi-Robot Systems under Global Temporal Tasks , Ieee Transactions on Automatic Control (2018) [ 10.1109/TAC.2018.2853558 ] [ abs ]. Lee, S; Chatzipanagiotis, N; Zavlanos, MM, Complexity Certification of a Distributed Augmented Lagrangian Method , Ieee Transactions on Automatic Control, vol 63 no. 3 (2018), pp. 827-834 [ 10.1109/TAC.2017.2747503 ] [ abs ]. Faculty All Faculty Mechanical Faculty Materials Faculty Awards & Recognition Copyright 2011-2019 Duke University diff --git a/src/data/compiled_bios/1593.txt b/src/data/compiled_bios/1593.txt new file mode 100644 index 0000000000..bc8448eac1 --- /dev/null +++ b/src/data/compiled_bios/1593.txt @@ -0,0 +1 @@ + Ilya Baldin Director, Networking Research and Infrastructure,Renaissance Computing Institute, The University of North Carolina at Chapel Hill,Adjunct Professor of Computer Science, Duke University Faculty Area: High-Performance Computing Email: ibaldin at renci.org Office: University of North Carolina at Chapel Hill Education North Carolina State University, Computer Science, PhD 1998 North Carolina State University, Computer Science, MS 1995 Illinois Institute of Technology, Computer Science (minor inMathematics), BSc 1992 Research Ilya Baldin leads RENCIs network research and infrastructure programs. He is a networking researcher with a wide range of interests, including high-speed optical network architectures, cross-layer interactions, novel signaling schemes and network security. Before coming to RENCI, Baldine was the principal scientist at the Center for Advanced Network Research at the Research Triangle Institute, and a network research engineer at the Advanced Network Research group at MCNC, where was a team member and a leader of a number of federally funded research efforts. He holds Ph.D. and MS degrees in computer science from North Carolina State University. : diff --git a/src/data/compiled_bios/1594.txt b/src/data/compiled_bios/1594.txt new file mode 100644 index 0000000000..62e3f421a4 --- /dev/null +++ b/src/data/compiled_bios/1594.txt @@ -0,0 +1 @@ + Lisa R. Hsu Adjunct Assistant Professor Faculty Area: Systems & Architecture Email: lisa.r.hsu at gmail.com Education Ph.D., Computer Science, University of Michigan, Ann Arbor M.S., Computer Science, University of Michigan, Ann Arbor B.S.E., Electrical Engineering, Princeton University : diff --git a/src/data/compiled_bios/1595.txt b/src/data/compiled_bios/1595.txt new file mode 100644 index 0000000000..7fe52edd70 --- /dev/null +++ b/src/data/compiled_bios/1595.txt @@ -0,0 +1 @@ + Forbidden You don't have permission to access /~yufangh/ on this server. Additionally, a 403 Forbidden error was encountered while trying to use an ErrorDocument to handle the request. Apache/2.4.18 (Ubuntu) Server at users.cs.duke.edu Port 443 diff --git a/src/data/compiled_bios/1596.txt b/src/data/compiled_bios/1596.txt new file mode 100644 index 0000000000..fdb2196916 --- /dev/null +++ b/src/data/compiled_bios/1596.txt @@ -0,0 +1 @@ + Erich L. Kaltofen Professor , Symbolic Computation, NCSU Adjunct Professor of Computer Science , Duke University ACM Fellow Mail address: North Carolina State University Mathematics Department , Box 8205 Raleigh, N.C. 27695-8205 USA Physical address: SAS Hall 4220 (NCSU) LSRC D-111 (Duke) Member of the Genomics Faculty (NCSU), Graduate Faculty of Computer Science (NCSU) Phone: (919) 515 8785 Secretary: (919) 515 2382 Fax: (919) 515 3798 My schedule and calendar Photos of myself Resum ( pdf ) PERSONAL LINKS WORK RELATED LINKS Current activities (links are to items inside documents categorized below) - Spring 2019 course: MA410 Fall 2018 courses: MA351 , MA522 - My current research students/postdocs Current publications - Current Conferences : Cook P/NP@50 Wu 100 ISSAC'19 Jenks Memorial Prize'17@ISSAC'18 - Past Conferences : Show/Hide CMS-AMS'18@Fudan U. , CICM'18 , Non-linear'18Core@ICERM , ECCAD'17 , PASCO'17 , ISSAC'17 , MICA'16 @ Waterloo , Complexity'15 , Sparse'15 , PASCO'15 , Hybrid'15 , Summer School @ KLMM , Computer Algebra @ Fields , LCA-SNC'15 , Jenks Prize@Fields , ECCAD'14 , GNOME2014 , SNC'14 , GCT'14 , ILAS'13 , ISSAC'13 , Jenks Prize@ISSAC'13 , AAG'13 , RICAM'13 , ECCAD'12 , LCC'12 , ASCM'12 , ACM/FCRC'11 Jenks Prize@SNC'11 , ACA'11 , ANR&NSFC/CRC'11 , SYNASC'11 , SIAM/AAG'11 , Hybrid'11 , Applic. Alg. Geom.'10 , Convex AG'10 , ECCAD'10 , Jo60 , DubLinBox'10 , ParCA'10 , PaSCo'10 , ANB2010 , SIAM&MSRI/Hybrid'10 , Open Source'09 , Positive Polys'09 , Symb. Analysis'09 , NSF SC 09 , ECCAD'09 , W.-T. Wu's 90th , ACA'09 , ISSAC'09 , CAT Santa Fe , NSF NAIS'09 , Comp.-assist. Proofs'09 , Complexity'09 , MICA'08 , ECCAD'08 , Borwein'08 , RTA'08 , ISSAC'08 , ApCoA'08 , SNSC'08 , ACA'08 , AB'08 , IPC'07 , ACST'07 , ECCAD'07 , Complexity'07 , AB'07 , ILAS'07 , SNC'07 , PASCO'07 , ISSAC'07 , NSF CDI 07 , CMSWinter'07 , MAP Summer School, Genova'06 , NT and crypto at Fields'06 , IMA WS Math in the Age of Digital Libraries'06 ; see further conferences.extserve.resume - Joint projects: Genomic Sciences LinBox - Computer Algebra Handbook: Springer announcement (search for "Kaltofen") - ORMS: Oberwolfach References on Mathematical Software Research Teaching Publications The online document contains links to 146 online publications, my BibTeX bibliography, and a description of my major results. All my 82 co-authors . Paper citations by Microsoft Academic Search . Software With my students I have built three major systems: D AGWOOD , DSC, and FoxBox. I am a founding member and co-designer of the LinBox library. A PP F AC are our Maple and Matlab packages for approximate polynomial GCD and factorization, ZNIPR our Maple package for sparse rational function model recovery. A RTIN P ROVER is our semidefinite programming-based software for exactly certifying global optima of semialgebraic problems. Grants The National Science Foundation has been the major provider of funds for my research. Undergraduate courses My subjects are: complexity theory, computer algebra, programming languages, data structures, introductory computer science, linear algebra Graduate courses My subjects are: algorithm design, programming languages, formal methods, parallel algorithms, symbolic computation High school summer program Paper on pedagogy Instructional software A popular Maple package is my RSA encryption. My course homepages link to additional software. Individual students for whom I have been research advisor Public lectures My screen files for several of my talks and my recorded voice are linked from the online document. August 8, 2017 Erich Kaltofen diff --git a/src/data/compiled_bios/1597.txt b/src/data/compiled_bios/1597.txt new file mode 100644 index 0000000000..1afbf557e5 --- /dev/null +++ b/src/data/compiled_bios/1597.txt @@ -0,0 +1 @@ +I have moved to Brown University . diff --git a/src/data/compiled_bios/1598.txt b/src/data/compiled_bios/1598.txt new file mode 100644 index 0000000000..c9393e9218 --- /dev/null +++ b/src/data/compiled_bios/1598.txt @@ -0,0 +1 @@ + Thomas H. LaBean Associate Professor of Materials Science & Engineering, NCSU,Adjunct Professor of Computer Science,Duke University Faculty Area: Algorithms Email: thlabean at ncsu.edu Office: NCSU Education Ph.D., University of Pennsylvania, 1993 B.S., Honors College, Michigan State University, 1986 Research DNA-based computing; self-assembling nanostructures; biologically-inspired materials; biomolecular structure, engineering, and evolution. Selected Publications D. Sebba, J.J. Mock, D.R. Smith, T.H. LaBean & A.A. Lazarides (2008) Reconfigurable Core-Satellite Nanoassemblies as Molecularly-Driven Plasmonic Switches, Nano Letters 8, 1803-1808. S.-H. Park, G. Finkelstein, and T.H. LaBean (2008) Stepwise Assembly of DNA Tile Lattices using dsDNA Bridges, J. Am. Chem. Soc., 130, 40-41. T. LaBean & H. Li (2007) Using DNA for Construction of Novel Materials, Nano Today, 2, 26-35. S-H. Park, R. Barish, H. Li, J.H. Reif , G. Finkelstein , H. Yan, and T.H. LaBean (2005) Three-Helix Bundle DNA Tiles Self-assemble into 2D Lattice or 1D Templates for Silver Nanowires. Nano Letters 5, 693-696. H. Yan, S.H. Park, G. Finkelstein, J.H. Reif, and T.H. LaBean (2003) DNA-Templated Self-Assembly of Protein Arrays and Highly Conductive Nanowires. Science 301, 1882-1884. Extended List of Publications Publications by Thomas H. LaBean : diff --git a/src/data/compiled_bios/1599.txt b/src/data/compiled_bios/1599.txt new file mode 100644 index 0000000000..2c0d24ea57 --- /dev/null +++ b/src/data/compiled_bios/1599.txt @@ -0,0 +1 @@ + Thomas Mlhave (Moelhave) Top Pubs CV About Me Current position CTO, Co-founder Scalable Algorithmics ( SCALGO ) Adjunct Faculty Department of Computer Science, Duke University Contact information SCALGO Aabogade 40 8200 Aarhus N DK Denmark Download CV | @thomasmoelhave | Education: 2009: PhD MADALGO , BRICS , Department of Computer Science, University of Aarhus. (Advisor: Lars Arge , dissertation: "Handling Massive Terrains and Unreliable Memory") 2005: Master of Science BRICS , Department of Computer Science, University of Aarhus 2004: Bachelor in Computer Science Minor in Mathematics, University of Aarhus Scientific interests I/O-Efficient Algorithms Cache-oblivious Algorithms Resilient Algorithms Computational Geometry Geographic Information Systems (GIS) Big Data Publications Dissertation Handling Massive Terrains and Unreliable Memory Thomas Mlhave. Aarhus University , 2009. Abstract: Recent technological advances have greatly increased the ability to acquire, store, and analyze data. These developments have significantly improved the potential of many commercial and scientific applications, and lead to many new scientific discoveries. We are growing accustomed to accessing massive amounts of information from almost anywhere using devices ranging from cell phones and tiny GPS navigation systems, to ordinary computers and beyond. The large amount of information available presents a number of problems and opportunities. One of the main obstacles is most software is not designed to handle large amounts of data, resulting in crashes or running for a very long time on even moderately-sized data sets. Another problem is contemporary memory devices can be unreliable due to a number of factors, such as power failures, radiation, and cosmic rays. The content of a cell in unreliable memory can be silently altered and this can adversely affect most traditional algorithms. The focus of this dissertation is on the algorithms and data structures specifically designed for solving a number of the problems involving large data sets and unreliable memory devices. The dissertation is divided into two parts. In Part I, we use the classical external memory model by Aggarwal and Vitter, and the cache-oblivious model recently proposed by Frigo et al., to design cache-efficient algorithms. We focus on problems involving terrain models which, due to modern terrestrial scanning techniques, can be very large. We present the TerraSTREAM software package, which solves many common computational problems on big terrains. We also present an I/O-efficient algorithm for computing contour maps of a terrain and a cache-oblivious algorithm for finding intersections between two sets of internally non-intersecting line segments. In Part II we use the faulty memory RAM, proposed by Finocchi and Italiano, to model unreliable memory circuits and design algorithms that are resilient to memory faults. We present a resilient priority as well as an optimal comparison-based resilient algorithm for searching in a sorted array. We also show how to use this algorithm to get a dynamic resilient dictionary. Finally, we present a model that combines the standard external memory model with the faulty memory RAM and present lower and upper bounds for I/O-efficient resilient dictionaries, an I/O-efficient resilient sorting algorithm and an I/O-efficient resilient priority queue. hide details read details Conference Papers Maintaining Contour Trees of Dynamic Terrains Pankaj K. Agarwal , Thomas M\olhave, Morten Revsb\aek , Issam Safa, Yusu Wang , Jungwoo Yang. SCG '15 Proceedings of the 31th Annual Symposium on Computational Geometry , 2015. Abstract: We study the problem of maintaining the contour tree T of a terrain , represented as a triangulated xy -monotone surface, as the heights of its vertices vary continuously with time. We characterize the combinatorial changes in T and how they relate to topological changes in . We present a kinetic data structure (KDS) for maintaining T efficiently. It maintains certificates that fail, i.e., an event occurs, only when the heights of two adjacent vertices become equal or two saddle vertices appear on the same contour. Assuming that the heights of two vertices of become equal only O(1) times and these instances can be computed in O(1) time, the KDS processes O(+n) events, where n is the number of vertices in and is the number of events at which the combinatorial structure of T changes, and processes each event in O( log n) time. The KDS can be extended to maintain an augmented contour tree and a join/split tree. doi: 10.4230/LIPIcs.SOCG.2015.796 hide details read details Computing Highly Occluded Paths Using a Sparse Network Niel Lebeck, Thomas Mlhave, Pankaj K. Agarwal . GIS '14: Proceedings of the 22th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems , 2014. Abstract: Computing paths over a terrain that are highly occluded with respect to observers is an important problem in GIS. Given a fast algorithm for computing the visibility map, the path-planning step becomes the bottleneck. In this paper, we present an approach for quickly computing occluded paths over a terrain using a sparse network , a sparse 1-dimensional network over the terrain. We present different strategies for constructing the sparse network. Experimental results show that our approach results in significantly improved time for computing highly occluded paths between two query points, and that the different strategies offer a tradeoff between higher-quality paths and lower preprocessing times. Furthermore, there are strategies that achieve near-optimal paths with small preprocessing cost. doi: 10.1145/2666310.2666394 hide details read details Model-Driven Matching and Segmentation of Trajectories Swaminathan Sankararamana, Pankaj K. Agarwal , Thomas Mlhave, Jiangwei Pan , Arnold P. Boedihardjo . GIS '13: Proceedings of the 21th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems , 2013. Abstract: A fundamental problem in analyzing trajectory data is to identify common patterns between pairs or among groups of trajectories. In this paper, we consider the problem of matching similar portions between a pair of trajectories, each observed as a sequence of points sampled from it. We present new measures of trajectory similarity both local and global between a pair of trajectories to distinguish between similar and dissimilar portions. We then use this model to perform segmentation of a set of trajectories into \em fragments, contiguous portions of trajectories shared by many of them. Our model for similarity is robust under noise and sampling rate variations. The model also yields a score which can be used to rank multiple pairs of trajectories according to similarity, e.g. in clustering applications. We present quadratic time algorithms to compute the similarity between trajectory pairs under our measures together with algorithms to identify fragments in a large set of trajectories efficiently using the similarity model. Finally, we present an extensive experimental study evaluating the effectiveness of our approach on real datasets, comparing it with earlier approaches. Our experiments show that our model for similarity is highly accurate in distinguishing similar and dissimilar portions as compared to earlier methods even with sparse sampling. Further, our segmentation algorithm is able to identify a small set of fragments capturing the common parts of trajectories in the dataset. doi: 10.1145/2525314.2525360 hide details read details Computing Highly Occluded Paths on a Terrain Niel Lebeck, Thomas Mlhave, Pankaj K. Agarwal . GIS '13: Proceedings of the 21th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems , 2013. Abstract: Understanding the locations of highly occluded paths on a terrain is a fundamental GIS problem. In this paper we present a model and a fast algorithm for computing highly occluded paths on a terrain. It does not assume that the observer locations are known and yields a path likely to be occluded under a rational observer strategy. We present experimental results that examine several different observer strategies. doi: 10.1145/2525314.2525363 hide details read details Simplifying Massive Contour Maps Lars Arge , Lasse Deleuran , Thomas Mlhave, Morten Revsbk , Jakob Truelsen . ESA '12 Proceedings of the 20th European Symposium on Algorithms , 2012. Abstract: We present a simple, efficient and practical algorithm for constructing and subsequently simplifying contour maps from massive high-resolution DEMs, under some practically realistic assumptions on the DEM and contours. doi: 10.1007/978-3-642-33090-2_10 hide details read details TerraNNI: Natural Neighbor Interpolation on a 3D Grid Using a GPU Alex Beutel , Thomas Mlhave, Pankaj K. Agarwal , Arnold P. Boedihardjo , James A. Shine. GIS '11 Proceedings of the 19th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems , 2011. Abstract: With modern focus on LiDAR technology the amount of topographic data, in the form of massive point clouds, has increased dramatically. Furthermore, due to the popularity of LiDAR, repeated surveys of the same areas are becoming more common. This trend will only increase as topographic changes prompt surveys over already scanned terrain, in which case we obtain large spatio-temporal data sets. In dynamic terrains, such as coastal regions, such spatio-temporal data can offer interesting insight into how the terrain changes over time. An initial step in the analysis of such data is to create a digital elevation model representing the terrain over time. In the case of spatio-temporal data sets those models often represent elevation on a 3D volumetric grid. This involves interpolating the elevation of LiDAR points on these grid points. In this paper we show how to efficiently perform natural neighbor interpolation over a 3D volumetric grid. Using a graphics processing unit (GPU), we describe different algorithms to attain speed and GPU-memory trade-offs. Our algorithm extends to higher dimensions. Our experimental results demonstrate that the algorithm is efficient and scalable. doi: 10.1145/2093973.2093984 hide details read details Exploiting Temporal Coherence in Forest Dynamics Pankaj K. Agarwal , Thomas Mlhave, Hai Yu, James S. Clark . SCG '11 Proceedings of the 27th Annual Symposium on Computational Geometry , 2011. Abstract: Understanding the impact of climate and land-use on forest ecosystems involves modeling and simulating complex spatial interactions at many different scales. With this goal in mind, we have developed an individual-based, spatially explicit forest simulator, which incorporates fine-scale processes that influence forest dynamics. In this paper we present new, faster algorithms for computing understory light and for dispersal of seeds the two most computationally intensive submodules in our simulator. By exploiting temporal coherence, we circumvent the problem of doing the entire simulation at each step. We provide experimental results that support the efficiency and efficacy of our approach. doi: 10.1145/1998196.1998210 hide details read details I/O-Efficient Contour Queries on Terrains Pankaj K. Agarwal , Thomas Mlhave, Bardia Sadri . SODA '11: Proceedings of the 22nd Annual ACM-SIAM Symposium on Discrete Algorithms , 2011. Abstract: A terrain M can be represented as a triangulation of the plane along with a height function associated with the vertices (and linearly interpolated within the edges and triangles) of M . We investigate the problem of answering contour queries on M : Given a height l and a triangle f of M that intersects the level set of M at height l , report the list of the edges of the connected component of this level set that intersect f , sorted in clockwise or counter-clockwise order. Contour queries are different from level-set queries in that only one contour (connected component of the level set) out of all those that may exist is expected to be reported. We present an I/O-efficient data structure of linear size that answers a contour query in O( log B N + T/B) I/Os, where N is the number of triangles in the terrain and T is the number of edges in the output contour. The data structure can be constructed using O( Sort (N)) I/Os. hide details read details Best paper award Natural neighbor interpolation based grid DEM construction using a GPU Alex Beutel , Thomas Mlhave, Pankaj K. Agarwal . GIS '10: Proceedings of the 18th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems , 2010. Abstract: With modern LiDAR technology the amount of topographic data, in the form of massive point clouds, has increased dramatically. One of the most fundamental GIS tasks is to construct a grid digital elevation model (DEM) from these 3D point clouds. In this paper we present a simple yet very fast algorithm for constructing a grid DEM from massive point clouds using natural neighbor interpolation (NNI). We use a graphics processing unit (GPU) to significantly speed up the computation. To handle the large data sets and to deal with graphics hardware limitations clever blocking schemes are used to partition the point cloud. For example, using standard desktop computers and graphics hardware, we construct a high-resolution grid with 150 million cells from two billion points in less than thirty-seven minutes. This is about one-tenth of the time required for the same computer to perform a standard linear interpolation, which produces a much less smooth surface. doi: 10.1145/1869790.1869817 hide details read details Cleaning Massive Sonar Point Clouds Lars Arge , Kasper Green Larsen , Thomas Mlhave, Freek Walderveen . GIS '10: Proceedings of the 18th ACM SIGSPATIAL International Symposium on Advances in Geographic Information Systems , 2010. Abstract: We consider the problem of automatically cleaning massive sonar data point clouds, that is, the problem of automatically removing noisy points that for example appear as a result of scans of (shoals of) fish, multiple reflections, scanner self-reflections, refraction in gas bubbles, and so on. We describe a new algorithm that avoids the problems of previous local-neighbourhood based algorithms. Our algorithm is theoretically I/O-efficient, that is, it is capable of efficiently processing massive sonar point clouds that do not fit in internal memory but must reside on disk. The algorithm is also relatively simple and thus practically efficient, partly due to the development of a new simple algorithm for computing the connected components of a graph embedded in the plane. A version of our cleaning algorithm has already been incorporated in a commercial product. doi: 10.1145/1869790.1869815 hide details read details Scalable algorithms for large high-resolution terrain data Thomas Mlhave, Pankaj K. Agarwal , Lars Arge , Morten Revsbk . COM.Geo '10: Proceedings of the 1st International Conference and Exhibition on Computing for Geospatial Research & Application , 2010. Abstract: In this paper we demonstrate that the technology required to perform typical GIS computations on very large high-resolution terrain models has matured enough to be ready for use by practitioners. We also demonstrate the impact that high-resolution data has on common problems. To our knowledge, some of the computations we present have never before been carried out by standard desktop computers on data sets of comparable size. doi: 10.1145/1823854.1823878 hide details read details Counting in the Presence of Memory Faults Gerth Brodal , Allan Jrgensen , Gabriel Moruz , Thomas Mlhave. ISAAC '09: Proceedings of the 20th Annual International Symposium on Algorithms and Computation , 2009. Abstract: The faulty memory RAM presented by Finocchi and Italiano is a variant of the RAM model where the content of any memory cell can get corrupted at any time, and corrupted cells cannot be distinguished from uncorrupted cells. An upper bound, , on the number of corruptions and O(1) reliable memory cells are provided. () times and paying () time every time a counter is queried or incremented. In this paper we decrease the expensive increment cost to o() and present upper and lower bound tradeoffs decreasing the increment time at the cost of the accuracy of the counters. doi: 10.1007/978-3-642-10631-6_85 hide details read details Impacts of 21st century sea-level rise on a major city (Aarhus, Denmark) - an assessment based on fine-resolution digital topography and a new flooding algorithm Jesper Moeslund Eshj , Peder Klith Bcher , Jens-Christian Svenning , Thomas Mlhave, Lars Arge . IOP Conf. Series: Earth and Environmental Science , 2009. Abstract: This study examines the potential impact of 21st century sea-level rise on Aarhus, the second largest city in Denmark, emphasizing the economic risk to the city's real estate. Furthermore, it assesses which possible adaptation measures that can be taken to prevent flooding in areas particularly at risk from flooding. We combine a new national Digital Elevation Model in very fine resolution ( 2 meter), a new highly computationally efficient flooding algorithm that accurately models the influence of barriers, and geospatial data on real-estate values to assess the economic real-estate risk posed by future sea-level rise to Aarhus. Under the A2 and A1FI (IPCC) climate scenarios we show that relatively large residential areas in the northern part of the city as well as areas around the river running through the city are likely to become flooded in the event of extreme, but realistic weather events. In addition, most of the large Aarhus harbour would also risk flooding. As much of the area at risk represent high-value real estate, it seems clear that proactive measures other than simple abandonment should be taken in order to avoid heavy economic losses. Among the different possibilities for dealing with an increased sea level, the strategic placement of flood-gates at key potential water-inflow routes and the construction or elevation of existing dikes seems to be the most convenient, most socially acceptable, and maybe also the cheapest solution. Finally, we suggest that high-detail flooding models similar to those produced in this study will become an important tool for a climate-change-integrated planning of future city development as well as for the development of evacuation plans. doi: 10.1088/1755-1315/8/1/012022 hide details read details Fault Tolerant External Memory Algorithms Gerth Stlting Brodal , Allan Grnlund Jrgensen , Thomas Mlhave. WADS '09: Proceedings of the 11th Algorithms and Data Structures Symposium , 2009. Abstract: Algorithms dealing with massive data sets are usually designed for I/O-efficiency, often captured by the I/O model by Aggarwal and Vitter. Another aspect of dealing with massive data is how to deal with memory faults, e.g. captured by the adversary based faulty memory RAM by Finocchi and Italiano. However, current fault tolerant algorithms do not scale beyond the internal memory. In this paper we investigate for the first time the connection between I/O-efficiency in the I/O model and fault tolerance in the faulty memory RAM, and we assume that both memory and disk are unreliable. doi: 10.1007/978-3-642-10631-6_85 hide details read details Cache-Oblivious Red-Blue Line Segment Intersection Lars Arge , Thomas Mlhave, Norbert Zeh . ESA '08: Proceedings of the 16th annual European symposium on Algorithms , 2008. Abstract: We present an optimal cache-oblivious algorithm for finding all intersections between a set of non-intersecting red segments and a set of non-intersecting blue segments in the plane. Our algorithm uses O(N/B log M/B N/B+T/B) memory transfers, where N is the total number of segments, M and B are the memory and block transfer sizes of any two consecutive levels of any multilevel memory hierarchy, and T is the number of intersections. doi: 10.1007/978-3-540-87744-8_8 hide details read details I/O-Efficient Algorithms for Computing Contours on a Terrain Pankaj K. Agarwal , Lars Arge , Thomas Mlhave, Bardia Sadri . SCG '08: Proceedings of the 24th Annual Symposium on Computational Geometry , 2008. Abstract: A terrain M is the graph of a bivariate function. We assume that M is represented as a triangulated surface with N vertices. A contour (or isoline ) of M is a connected component of a level set of M . Generically, each contour is a closed polygonal curve; at ``critical'' levels these curves may touch each other or collapse to a point. We present I/O-efficient algorithms for the following two problems related to computing contours of M : [(i)] Given a sequence l 1 < ... < l s of real numbers, we present an I/O-optimal algorithm that reports all contours of M at heights l 1 , ..., l s using O( Sort (N)+T/B) I/Os, where T is the total number edges in the output contours, B is the ``block size,'' and Sort (N) is the number of I/Os needed to sort N elements. The algorithm uses O(N/B) disk blocks. Each contour is generated individually with its composing segments sorted in clockwise or counterclockwise order. Moreover, our algorithm generates information on how the contours are nested. [(ii)] We can preprocess M , using O( Sort (N)) I/Os, into a linear-size data structure so that all contours at a given height can be reported using O( log B N + T/B) I/Os, where T is the output size. Each contour is generated individually with its composing segments sorted in clockwise or counterclockwise order. doi: 10.1145/1377676.1377698 hide details read details TerraStream: From Elevation Data to Watershed Hierarchies Andrew Danner , Thomas Mlhave, Ke Yi , Pankaj K. Agarwal , Lars Arge , Helena Mitasova . GIS '07: Proceedings of the 15th Annual ACM International Symposium on Advances in Geographic Information Systems , 2007. Abstract: We consider the problem of extracting a river network and a watershed hierarchy from a terrain given as a set of irregularly spaced points. We describe TerraStream, a ``pipelined'' solution that consists of four main stages: construction of a digital elevation model (DEM), hydrological conditioning, extraction of river networks, and construction of a watershed hierarchy. Our approach has several advantages over existing methods. First, we design and implement the pipeline so each stage is scalable to massive data sets; a single non-scalable stage would create a bottleneck and limit overall scalability. Second, we develop the algorithms in a general framework so that they work for both TIN and grid DEMs. Terra-Stream is flexible and allows users to choose from various models and parameters, yet our pipeline is designed to reduce (or eliminate) the need for manual intervention between stages. We have implemented TerraStream and present experimental results on real elevation point sets that show that our approach handles massive multi-gigabyte terrain data sets. For example, we can process a data set containing over 300 million pointsover 20GB of raw datain under 26 hours, where most of the time (76%) is spent in the initial CPU-intensive DEM construction stage. doi: 10.1145/1341012.1341049 hide details read details Optimal Resilient Dynamic Dictionaries Gerth Stlting Brodal , Rolf Fagerberg , Irene Finocchi , Fabrizio Grandoni , Giuseppe Italiano , Allan Grnlund Jrgensen , Gabriel Moruz , Thomas Mlhave. ESA '07: Proceedings of the 15th annual European symposium on Algorithms , 2007. Abstract: We investigate the problem of computing in the presence of faults that may arbitrarily (i.e., adversarially) corrupt memory locations. In the faulty memory model, any memory cell can get corrupted at any time, and corrupted cells cannot be distinguished from uncorrupted ones. An upper bound on the number of corruptions and O(1) reliable memory cells are provided. In this model, we focus on the design of resilient dictionaries, i.e., dictionaries which are able to operate correctly (at least) on the set of uncorrupted keys. We first present a simple resilient dynamic search tree, based on random sampling, with O( log n + ) expected amortized cost per operation, and O(n) space complexity. We then propose an optimal deterministic static dictionary supporting searches in ( log n+) time in the worst case, and we show how to use it in a dynamic setting in order to support updates in O( log n+) amortized time. Our dynamic dictionary also supports range queries in O( log n++t) worst case time, where t is the size of the output. Finally, we show that every resilient search tree (with some reasonable properties) must take ( log n + ) worst-case time per search. doi: 10.1007/978-3-540-75520-3_32 hide details read details Priority Queues Resilient to Memory Faults Allan Grnlund Jrgensen , Gabriel Moruz , Thomas Mlhave. WADS '07: Proceedings of the 10th International Workshop on Algorithms and Data Structures , 2007. Abstract: In the faulty-memory RAM model, the content of memory cells can get corrupted at any time during the execution of an algorithm, and a constant number of uncorruptible registers are available. A resilient data structure in this model works correctly on the set of uncorrupted values. In this paper we introduce a resilient priority queue. The deletemin operation of a resilient priority queue returns either the minimum uncorrupted element or some corrupted element. Our resilient priority queue uses O(n) space to store n elements. Both insert and deletemin operations are performed in O( log n+) time amortized, where is the maximum amount of corruptions tolerated. Our priority queue matches the performance of classical optimal priority queues in the RAM model when the number of corruptions tolerated is O( log n) . We prove matching worst case lower bounds for resilient priority queues storing only structural information in the uncorruptible registers between operations. doi: 10.1007/978-3-540-73951-7_12 hide details read details Journal Papers To Appear TerraNNI: Natural Neighbor Interpolation on 2D and 3D Grids using a GPU Pankaj K. Agarwal , Alex Beutel , Thomas Mlhave. Transactions on Spatial Algorithms and Systems , 2015. Abstract: With modern focus on remote sensing technology, such as LiDAR, the amount of spatial data, in the form of massive point clouds, has increased dramatically. Furthermore, repeated surveys of the same areas are becoming more common. This trend will only increase as topographic changes prompt surveys over already scanned areas, in which case we obtain large spatio-temporal data sets. An initial step in the analysis of such spatial data is to create a digital elevation model representing the terrain, possibly over time. In the case of spatial (resp. spatio-temporal) data sets, these models often represent elevation on a 2D (resp. 3D) grid. This involves interpolating the elevation of LiDAR points on these grid points. In this paper we show how to efficiently perform natural neighbor interpolation over a 2D and 3D grid. Using a graphics processing unit (GPU), we describe different algorithms to attain speed and GPU-memory trade-offs. Our experimental results demonstrate that our algorithms are not only significantly faster than earlier ones, but also scale to much bigger data sets than previous algorithms were unable to handle. doi: 10.1145/2786757 hide details read details Attaching uncertainty to deterministic spatial interpolations Souparno Ghosh, Alan E. Gelfand , Thomas Mlhave. Statistical Methodology , 2012. Abstract: Deterministic spatial interpolation algorithms such as the natural neighbor interpolation (NNI) or the Cressman interpolation schemes are widely used to interpolate environmental features. In particular, the former have been applied to digital elevation models (DEM's), the latter to weather data and pollutant exposure. However, they are unsatisfying in that they fail to provide any uncertainty assessment. Such schemes are not model-based; rather, they provide a set of rules, usually geometrically motivated, by which point-level data is interpolated to a grid. We distinguish this setting from the case where the deterministic model is essentially a mapping from inputs to outputs in which case a joint model can be formulated to assign uncertainty. In our setting we have no inputs, only an interpolated surface at some spatial resolution. We propose a general approach to handle the non model-based setting. In fact, the approach can be used to assign uncertainty to any supplied surface regardless of how it was created. We first formulate a useful notion of uncertainty and then show, with additional external validation data, that we can attach uncertainty using a convenient version of a data fusion model. We also clarify the distinction between this setting and the more usual case where we are trying to build an explanatory model to explain an environmental surface. We discuss two settings for such interpolation, one where the surface is presumed to be continuous such as elevation or temperature and the other where the surface would be discontinuous such as with precipitation where, at any location, there would be a point mass in the distribution at 0. We work within a hierarchical Bayesian framework and illustrate with a DEM within the Cape Floristic Region of South Africa. doi: 10.1016/j.stamet.2011.06.001 hide details read details Other Papers Invited abstract Using TPIE for Processing Massive Data Sets in C++ Thomas Mlhave. ACM SIGSPATIAL Special , 2012. Volumetric Grid Construction using 3D Natural Neighbor Interpolation on the GPU Alex Beutel , Thomas Mlhave, Pankaj K. Agarwal . MASSIVE '11: Proceedings of the Workshop on Massive Data Algorithmics , 2011. Abstract: With modern focus on LiDAR technology the amount of topographic data, in the form of massive point clouds, has increased dramatically. Furthermore, due to the popularity of LiDAR repeated surveys of the same areas are beginning to become more common, a trend that will only increase as topographic changes prompt surveys over already scanned terrain to be made. In those cases we get large spatio-temporal datasets. In dynamic terrains, such as coastal regions, such spatio-temporal data can offer interesting insight into how the terrain changes over time. An initial step in the analysis of such data is to create a model representing the terrain. In the case of spatio-temporal datasets those models are often 3D volumetric grids. In this paper we show how to efficiently compute natural neighbor interpolation in 3 and higher dimensions. We use a graphics processing unit (GPU) to increase performance and we describe different algorithms to attain speed and GPU-memory trade-offs. hide details read details Modeling and Analyzing Massive Terrain Data Pankaj K. Agarwal , Thomas Mlhave. National Science Foundation TeraGrid Workshop on Cyber-GIS , 2010. Fault Tolerant External Memory Algorithms Gerth Stlting Brodal , Allan Grnlund Jrgensen , Thomas Mlhave. MASSIVE '09: Proceedings of the Workshop on Massive Data Algorithmics , 2009. Abstract: Algorithms dealing with massive data sets are usually designed for I/O-efficiency, often captured by the I/O model by Aggarwal and Vitter. Another aspect of dealing with massive data is how to deal with memory faults, e.g. captured by the adversary based faulty memory RAM by Finocchi and Italiano. However, current fault tolerant algorithms do not scale beyond the internal memory. In this paper we investigate for the first time the connection between I/O-efficiency in the I/O model and fault tolerance in the faulty memory RAM, and we assume that both memory and disk are unreliable. hide details read details GIS ved MADALGO Lars Arge , Thomas Mlhave. Geoforum , 2009. Optimal Resilient Dynamic Dictionaries Gerth Stlting Brodal , Rolf Fagerberg , Allan Grnlund Jrgensen , Gabriel Moruz , Thomas Mlhave. Department of Computer Science, Aarhus University , 2007. Abstract: In the resilient memory model any memory cell can get corrupted at any time, and corrupted cells cannot be distinguished from uncorrupted cells. An upper bound, , on the number of corruptions and O(1) reliable memory cells are provided. In this model, a data structure is denoted resilient if it gives the correct output on the set of uncorrupted elements. We propose two optimal resilient static dictionaries, a randomized one and a deterministic one. The randomized dictionary supports searches in O( log n+) expected time using O( log ) random bits in the worst case, under the assumption that corruptions are not performed by an adaptive adversary. The deterministic static dictionary supports searches in O( log n+) time in the worst case. We also introduce a deterministic dynamic resilient dictionary supporting searches in O( log n + ) time in the worst case, which is optimal, and updates in O( log n+) amortized time. Our dynamic dictionary supports range queries in O( log n++k) worst case time, where k is the size of the output. hide details read details Abstracts Tilgngeligt, Trovrdigt og Handlingsrettet Terrndata Lars Arge , Thomas Mlhave, Morten Revsbk . Kortdage '13 Presented at Kortdage , 2013. Analyzing big terrain data from space Lars Arge , Thomas Mlhave, Morten Revsbk , Jakob Truelsen , Freek Walderveen . Presented at European Space Agency - Big Data From Space , 2013. Abstract: Terrain data is gathered for increasingly large areas and levels of detail. Since the Shuttle Radar Topography Mission (SRTM) more than a decade ago, nearglobal equator). In 2009 the ASTER GDEM was made available with global coverage in 1-arcsecond (30m) resolution and already from next year, in 2014, the radarsatellite-sourced 12m WorldDEM model from Astrium will be available with global coverage. GIS software has traditionally enabled end-users to answer a wide range of useful questions based on detailed terrain data e.g. questions concerning flood risk from sea and rainfall or questions concerning visibility of objects in the terrain (e.g. power lines, radio towers and windmills). However most of these GIS software are built on data processing algorithms that fundamentally assume data to fit in the main memory of the computing device. These algorithms incur a significant slowdown (often a factor in the order of 10^6) once data becomes bigger than main memory, effectively making the computation infeasible. A backof-the-envelope assessment shows that a 12m raster model with global coverage will contain on the order of 10^12 raster cells. This is significantly larger than the memory of most computing devices and it will be infeasible to analyze a dataset of this size (or anywhere near it) with traditional GIS software. Many different approaches have been attempted to work around the shortcomings of traditional GIS software in handling big terrain data. The two most widely used are simply to either lower the detail/resolution of the data so that it fits in main memory (data simplification) or split the data into smaller pieces and handle each piece separately and independently(data tiling). However, for many purposes, such as flood risk and visibility, these approaches significantly reduce the quality of the output produced. For example, data simplification might cause important information about dikes and other terrain features to be lost, significantly reducing the quality of the flood risk analysis and data tiling makes it difficult to reason about hydrological features spanning tile boundaries. In recent years a major research effort has been put into developing so-called external memory algorithms for a wide range of computational problems. These algorithms do not assume that data fits in memory of the computing device and can therefore efficiently process extremely big data sets. SCALGO was founded by leading researchers in computational geometry and external memory algorithms and aims at commercializing external memory algorithms for a wide range of GIS problems. SCALGO has developed software that can answer e.g. flood risk questions and visibility questions on detailed global data without using the known workarounds of data simplification and data tiling. In our talk, we will highlight the vast potential of the high quality terrain data that will be available in the near future from space-based sensor platforms. We will give an overview of the algorithmic techniques needed to process this terrain data and present examples of how we have previously successfully analyzed flood risk and visibility on raster terrains containing billions of raster cells. For example, we will give an online demonstration of the results we have achieved from analyzing the near-global SRTM data. hide details read details Beregning af National Oversvmmelsesrisiko Lars Arge , Thomas Mlhave, Morten Revsbk . Kortdage '12 Presented at Kortdage , 2012. Abstract: hide details read details Detaljerede og brugbare landsdkkende konturkort Lars Arge , Lasse Deleuran , Thomas Mlhave, Morten Revsbk , Jakob Truelsen . Kortdage '12 Presented at Kortdage , 2012. Abstract: doi: 10.1145/2367574.2367579 hide details read details Flood Risk Analysis Using Massive LiDAR Terrain Data Lars Arge , Thomas Mlhave, Morten Revsbk . ELMF '11 Presented at the European LiDAR Mapping Forum , 2011. Abstract: As detailed LiDAR terrain data for large geographic areas is increasingly made public, the problems in processing the massive point clouds are becoming increasingly apparent. For example, while two detailed LiDAR terrain datasets were produced for the country of Denmark several years ago, the use of the data in advanced countrywide analysis and modeling applications have been virtually nonexistent. The LiDAR point cloud for Denmark's approximately 42.000 square-kilometers consists of about 26 billion points, which creates serious problems for most software. In this talk we will illustrate this issue in connection with flood risk analysis. We will discuss why massive LiDAR data often exposes software scalability problems, and also how these problems can be overcome using advanced algorithms developed at Center for Massive Data Algorithmics (MADALGO) at Aarhus University and commercialized by SCALGO. We will end the talk with an interactive visualization of how software based on these algorithms and running on a normal desktop computer has been used to analyze flood risk due to rising sea-level and extreme rain for the entire country of Denmark. The sea-level rise flood risk analysis will soon be made publicly available by the Danish government. The demonstration will include examples of how the large and detailed countrywide LiDAR point cloud was essential in the flood risk analysis, and thus provide motivation for governments and other stakeholders to invest in large national-scale LiDAR surveys. hide details read details Hvor lber vandet hen? Oversvmmelsesberegninger p store hjdemodeller Lars Arge , Thomas Mlhave, Jakob Truelsen , Johnny K. Rasmussen. Kortdage '09 Presented at Kortdage , 2009. Abstract: Eksisterende GIS software er ofte ikke ret godt til at hndtere store datast. Dette er f.eks. blevet benlyst efter fremkomsten af detaljerede LIDAR-baserede 2-meter hjdemodeller for hele Danmark. I foredraget vil vi diskutere dette i forbindelse med beregning af oversvmmelsesrisiko; vi vil diskutere hvorfor der er problemer med eksisterende software i sdanne beregninger, og ogs hvordan disse problemer kan afhjlpes. Foredraget vil inkludere en demonstration af dele af den MADALGO-udviklede software-pakke TerraSTREAM, som kan hndtere selv meget store hjdemodeller, samt en Google Maps visualisering af en beregning af oversvmmelsesrisiko for Danmark ved brug af TerraSTREAM og COWI's landsdkkende 2-meter hjdemodel. Os bekendt findes der ikke andet software der kan foretage en sdan beregning p en detaljeret landsdkkende model. Selvom detaljerede hjdemodeller muliggr en mere prcis beregning af oversvmmelsesrisiko, f.eks. ved at de indeholder vigtige men forholdsvis sm detaljer i landskabet (ssom diger), s er en helt prcis beregning af oversvmmelsesrisiko meget kompliceret. Ofte kan en god frste vurdering dog opns ved at fokusere p hjdemodellen, og f.eks. ignorerer effekten af kloaker og grundvand. De beregninger vi vil prsentere fokuserer sledes p afstrmning af regnvand og p effekten af stigende have. Vores afstrmningmodellering bestr i en beregning af den skaldte akkumulerede afstrmning for hvert punkt i en hjdemodel (celle hhv. trekant i en grid hhv. TIN model), som ofte bruges til at estimere hvor man kan frygte oversvmmelse efter et kraftigt regnskyl. Vores modellering af stigende have best i en beregning af prcis hvilke punkter der vil blive oversvmmet ved en given vandstandsstigning. Beregning bestr sledes ikke blot i at finde alle dele af modellen under den givne vandstand, men derimod i at finde prcis de dele af modellen der kan ns fra kysten uden at mde en barriere hjere end den givne vandstand. P denne mde tages der f.eks. - i modstning til mange andre modelleringsvrktjer - hjde for diger. Visualisering af vores beregninger p 2-meter modellen af Danmark der indgr i foredraget vil bl.a. illustrere effekten af diger igennem en sammenligning af den beregnede oversvmmelsesrisiko ved brug af traditionelle og nyere detaljerede hjdemodeller. hide details read details Massive Terrain Data Processing: Scalable Algorithms Andrew Danner , Thomas Mlhave, Ke Yi , Pankaj K. Agarwal , Lars Arge , Helena Mitasova . FOSS4G '06 Presented at Free And Open Source Software for Geoinformatics , 2006. Abstract: Modern remote sensing methods such as LIDAR readily generate very large data sets of high-resolution elevation data. Several applications including stream mapping, landslide risk assessment, hydrological and erosion modeling can benefit from this high-resolution data, but processing the data sets which can be tens or hundreds of gigabytes in size poses a number of technical challenges. LIDAR point sets must be transformed into a digital elevation model (DEM) and derived products such as a river network or watersheds, line of sight information before users can conduct relevant studies. We describe our approach as a pipeline consisting of a number of individual stages. In the first stage we convert raw LIDAR point sets to a digital elevation models using the spline approximation method with substantially modified segmentation procedure to handle hundreds of millions of points. The constructed DEM may have some artifacts due to sampling noise or introduced by the approximation method. We therefore remove from the terrain topological noise that would impede water flow along a river network while preserving large natural depressions or sinks such as quarries or craters. The next stages use the denoised DEM for constructing various derived data or terrain analysis tools. For example, we have developed these stages for computing flow network and water shade hierarchies. We designed and implemented the pipeline mentioned above such that the entire pipeline is scalable to large data sets. A single non-scalable stage in the pipeline would create a bottleneck and limit overall scalability. The experimental results on real LIDAR data that show our approach is scalable to data sets containing hundreds of million of points--over 20GB of raw data. Our approach allows users to go from raw data to useful high-level information with little or no manual intervention; at the same time, our software is highly modular and each stage can be run individually if certain intermediate results are desired. hide details read details Other Information Teaching Fall 2005, Q1: TA, Introduction to Programming Fall 2005, Q1: Course Administrator, Computability and Logic Spring 2006, Q3: TA, Algorithms and Data Structures 1 Spring 2006, Q4: TA, Algorithms and Data Structures 2 Fall 2006, Q1: Course Administrator, Computability and Logic Fall 2006, Q1: TA, Computability and Logic Spring 2007, Q3: TA, Algorithms and Data Structures 1 Spring 2007, Q4: TA, Algorithms and Data Structures 2 Spring 2008, Q3: TA, Algorithms and Data Structures 1 Spring 2008, Q4: TA, Algorithms and Data Structures 2 Spring 2009, Q3: TA, Algorithms and Data Structures 1 Spring 2009, Q4: TA, Algorithms and Data Structures 2 Fun facts ALENEX 2014 Program Committee member Co-founded the company Scalable Algorithmics (SCALGO) Worked as a student programmer at CAVI Links The Templated Portable I/O Environment (TPIE) TerraNNI TCX-Tools TerraSTREAM Thomas Mlhave thomasm@cs.duke.edu (Bibliography generated by pybib2html ) (My last name is usually transliterated to Moelhave if the '' character is not available.) diff --git a/src/data/compiled_bios/16.txt b/src/data/compiled_bios/16.txt new file mode 100644 index 0000000000..15aeb12f79 --- /dev/null +++ b/src/data/compiled_bios/16.txt @@ -0,0 +1 @@ + Chandra Sekhar Chekuri Professor 3228 Siebel Center for Comp Sci 201 N. Goodwin Ave. Urbana Illinois 61801 (217) 265-0705 chekuri@illinois.edu : Primary Research Area Theory and Algorithms Research Areas Theory and Algorithms Journal Editorships Associate Editor, Mathematics of Operations Research, March 2013- Jan 2019 Associate Editor, Mathematical Programming Ser A, Jan 2009-Jan 2016 . Primary Research Area Theory and Algorithms Research Areas Theory and Algorithms . Selected Articles in Journals Chandra Chekuri and Julia Chuzhoy, Polynomial bounds for the grid-minor theorem , Journal of the ACM, 40:1-40:65 (2016). Chandra Chekuri, Sungjin Im and Benjamin Moseley, Online Scheduling to Minimize Maximum Response Time and Maximum Delay Factor , Theory of Computing, Vol 8, May 2012. G. C\'alinescu, C. Chekuri, M. Pal and J. Vondr\'ak : Maximizing a Monotone Submodular Function subject to a Matroid Constraint , SIAM Journal on Computing, 40(6):1740--1766. Published online, Dec 2011. Chandra Chekuri, Sanjeev Khanna , F. Bruce Shepherd : Edge-Disjoint Paths in Planar Graphs with Constant Congestion. SIAM J. Comput. 39 (1): 281-301 (2009) C. Chekuri and S. Khanna, "A PTAS for the Multiple Knapsack Problem," SIAM Journal on Computing , 35(3): pp. 713-728, 2006. . . diff --git a/src/data/compiled_bios/160.txt b/src/data/compiled_bios/160.txt new file mode 100644 index 0000000000..74adf01534 --- /dev/null +++ b/src/data/compiled_bios/160.txt @@ -0,0 +1 @@ + Research Publications and Media People Group Photos News Sponsors Contact Useful Info Group Members Only Our group is composed of people interested and enthusiastic about light, photons, optical devices and systems. We pursue new research discoveries in the broad fields of nanophotonics and biophotonics. Below are some of the research projects we have previously or are currently working on. For detailed descriptions about each project, please visit our publication page . At our spare time, we enjoy turning our research into fun stuff. For example, the logo on the uppper-left corner is the red fluorescence of CdSe QDs patterned using a self-assembly fabrication process. Nanophotonic devices with solution-processed materials Perovskite optoelectronics Ultrathin flexible optoelectronic devices on nanocellulose paper Optical activation of neurons through quantum dots Silicon quantum dots for lighting, display and biolabeling Sub-diffraction limit quantum dot waveguide Nanoscale quantum dot photodetector Nanoscale quantum dot photodetecton enhanced by plasmonics Nanostructure-enhanced laser tweezers Enhanced optical manipulation by photonic crystals and plasmonic nanostructures for micro/nano particles, living cells and DNAs Stem cell patterning and interaction force study using photonic crystal optical tweezers Cell viability characterization under photonic crystal optical trapping Particle/cell alignment and rotation by photonic crystal optical tweezers Patterned optical trapping by photonic crystal optical tweezers Localized surface plasmon assisted microfluidic mixing Nanoparticle patterning and assembly by light-induced concentration and fusion Micro-instrumentation by optical MEMS Mass sensing and monitoring with high accuracy for living cells and micro/nano particles by MEMS resonators integrated with photonic crystal optical trapping MEMS scanning mirror with focus tracking for bio-optical imaging MEMS scanning mirror for optical imaging and switching Some videos produced by our group members related to our research. Thin-film solar cell efficiency enhancemet by photonic crystal nanostructures Producers: Peifeng Jing and Ethan Keeler Tutorial on optical tweezers, preparation and trapping of stem cells Producers: Peifeng Jing, Yannan Liu, Chen Zou and Yue Shi diff --git a/src/data/compiled_bios/1600.txt b/src/data/compiled_bios/1600.txt new file mode 100644 index 0000000000..9c31cea234 --- /dev/null +++ b/src/data/compiled_bios/1600.txt @@ -0,0 +1 @@ + Nikos Pitsianis Associate Professor, Electrical and Computer Engineering Director, Computer Architectures and Systems Laboratory Aristotle University of Thessaloniki Adjunct Associate Professor, Computer Science, Duke University LSRC D111 Phone: (919) 660-6542 Nikos.P.Pitsianis@Duke.edu Education Ph.D., Computer Science Cornell University M.S., Computer Science Cornell University B.S., Mathematics, Aristotle University Research Interests Nikos Pitsianis' research experience and interests are in algorithms and architectures for high performance computing, numerical linear algebra and parallelization, use of symbolic math and compiler techniques for optimization and applications in integrated sensing and processing. Publications diff --git a/src/data/compiled_bios/1601.txt b/src/data/compiled_bios/1601.txt new file mode 100644 index 0000000000..21a8efef04 --- /dev/null +++ b/src/data/compiled_bios/1601.txt @@ -0,0 +1 @@ + Forbidden You don't have permission to access /~dquan/ on this server. Additionally, a 403 Forbidden error was encountered while trying to use an ErrorDocument to handle the request. Apache/2.4.18 (Ubuntu) Server at users.cs.duke.edu Port 443 diff --git a/src/data/compiled_bios/1602.txt b/src/data/compiled_bios/1602.txt new file mode 100644 index 0000000000..e73dce009f --- /dev/null +++ b/src/data/compiled_bios/1602.txt @@ -0,0 +1 @@ + Next: EDUCATION Alan W. Biermann Professor of Computer Science Levine Science Research Center, D213 Box 90129, Department of Computer Science Duke University Durham, North Carolina 27708 (919) 660-6539 [voice] (919) 660-6519 [fax] awb@cs.duke.edu EDUCATION RESEARCH INTERESTS Computational Linguistics Automatic Programming, Learning and Inference Multimedia Tools for Computer Science Education SELECTED PUBLICATIONS MEMBERSHIPS AND HONORS CHILDREN'S BOOK AUTHOR PROFESSIONAL ACTIVITIES GREAT IDEAS IN COMPUTER SCIENCE PROJECT awb@cs.duke.edu Tue Aug 23 12:33:31 EDT 1994 diff --git a/src/data/compiled_bios/1603.txt b/src/data/compiled_bios/1603.txt new file mode 100644 index 0000000000..d74745cac3 --- /dev/null +++ b/src/data/compiled_bios/1603.txt @@ -0,0 +1 @@ + Carla Schlatter Ellis Professor Emeritus Department of Computer Science Box 90129 Duke University Durham NC 27708-0129 Biography I received the B.S. degree from the University of Toledo, Toledo OH, in 1972 and the M.S. and Ph.D. degrees from the University of Washington , Seattle, in 1977 and 1979. Before coming to Duke as an Associate Professor in 1986, I was a member of the Computer Science faculties at the University of Oregon, Eugene, from 1978 to 1980, and at the University of Rochester, Rochester NY, from 1980 to 1986. During the 1997-98 academic year, I was on sabbatical at the University of Washington. In my retirement, I will be pursuing two passions: (1) advocating for green computing and the role of computing in creating a sustainable society and (2) encouraging the participation of women in computing. I was named a Fellow of the Association of Computing Machinery (ACM) in 2010. Research I am an Experimental Computer Scientist with broad interests in operating systems for mobile, parallel, and distributed systems. Some of my interests and projects include The Milly Watt Power Management Project Mobile computing Sensor networks I am author of Controlling Energy Demand in Mobile Computing Systems , Synthesis Lectures on Mobile and Pervasive Computing , Mahadev Satyanarayanan, editor. Morgan & Claypool Publishers, 2007. A list of my publications is available. Some of my recent talks can be found at the Milly Watt talks page. Professional Service ACM: Editor-in-Chief of ACM Transactions on Computer Systems (TOCS) , 2003-2009. Co-Program Chair of the MobiSys conference in 2008. Past Chair of ACM SIGOPS , the Special Interest Group on Operating Systems, past Chair of the ACM SIG Governing Board, and former member of ACM Council. CRA and CRA-W: Member of CRA-W , CRA's Committee on the Status of Women in Computing Research and past Co-chair. Past Board member and secretary of CRA . USENIX: Program Chair for the USENIX Technical Conference 2002 NCWIT: Past co-chair of the Academic Alliance of the National Center for Women & Information Technology. Duke's Faculty Women's Network: I served as co-convener for FWN from 2005-2007. Teaching and Mentoring Courses taught include: Sensor Networks for Environmental Monitoring Introduction to Operating Systems, CPS 110, Spring 2007 Operating Systems, CPS210, Spring 2005. Topics course on Experimental Methods in Computer Systems, Fall 2004. Operating Systems, CPS210, Spring 2001, with emphasis on energy management. A Topics Course on Programming Palms (Spring 1999) Our weekly Systems Seminar: SPIDER meetings. I have mentored 6 undergraduate women students over several years through the CRA-W Distributed Mentorship Program . A list of former students whom I advised for their Ph.D. degrees and where they are now. Life Beyond Computer Science Home is finished and life is relocated. diff --git a/src/data/compiled_bios/1604.txt b/src/data/compiled_bios/1604.txt new file mode 100644 index 0000000000..e42c580608 --- /dev/null +++ b/src/data/compiled_bios/1604.txt @@ -0,0 +1 @@ + Thomas Gallie Professor Emeritus Email: tomgallie at outlook.com : diff --git a/src/data/compiled_bios/1605.txt b/src/data/compiled_bios/1605.txt new file mode 100644 index 0000000000..6db8d80500 --- /dev/null +++ b/src/data/compiled_bios/1605.txt @@ -0,0 +1 @@ + Duke University Department of Computer Science People (rev. 1.10) Donald W. Loveland PROFESSOR EMERITUS OF COMPUTER SCIENCE Artificial Intelligence A.B., Oberlin College, 1956 S.M., Massachusetts Institute of Technology, 1958 Ph.D., New York University, 1964 Research Focus: Automated theorem proving, logic programming, knowledge ivaluation, expert systems, test-and-treatment problem. Teaching: CPS148: Logic and its Applications. Cotaught with Richard Hodel (Math) and Susan Sterrett (Philosophy). (Last taught in spring 2005.) Book: Three Views of Logic: Mathematics, Philosophy, and Computer Science. With coauthors Richard E. Hodel and S. G. Sterrett. Princeton University Press, 2014, xv+322 pp. A professional activity of general CS interest: Author of the report to NSF --- Automated Deduction: Some Achievements and Future Directions. (1997) General CV: curriculum vitae Email: dwl@cs.duke.edu Fax: (919) 660-6519 Post Mail: Duke University, Box 90129, Durham, NC 27708 [BACK] Powered by MySQL diff --git a/src/data/compiled_bios/1606.txt b/src/data/compiled_bios/1606.txt new file mode 100644 index 0000000000..64cac34911 --- /dev/null +++ b/src/data/compiled_bios/1606.txt @@ -0,0 +1 @@ + Merrell Patrick Professor Emeritus of Computer Science Email: merrell.patrick at cox.net : diff --git a/src/data/compiled_bios/1607.txt b/src/data/compiled_bios/1607.txt new file mode 100644 index 0000000000..89c371fac0 --- /dev/null +++ b/src/data/compiled_bios/1607.txt @@ -0,0 +1 @@ + Dietolf (Dee) Ramm Teaching Advising Research Pointers Hello and welcome to my Home Page. I'm emeritus faculty in the Department of Computer Science here at Duke University . Contact Mailing Address: Dietolf Ramm Department of Computer Science Box 90129, 304 North Building Duke University Durham, NC 27708-0129 USA Email: DeeRamm at gmail.com or (rarely checked) ramm at cs.duke.edu Home: (919) 919-732-7616 Office: (919) 919-660-6532 FAX: (919) 919-660-6519 Radio: KU4GC Teaching I am not currently scheduled to teach any courses. Spring, 2007 CompSci 100.1: Program Design and Analysis II CompSci 100E.1: Program Design and Analysis II Fall, 2006 CompSci 006.1: Program Design and Analysis I CompSci 100E.1: Program Design and Analysis II History Advising Pre-Major Advisees For routine matters, please make an appointment by email ( DeeRamm at gmail.com ) to see me in my office: 304 North. In the message, suggest some times that would work for you. For more urgent problems, call me at 919-660-6532 (office) or 919-732-7616 (home) or send me email ( DeeRamm at gmail.com ) or ask to speak to the staff at the Academic Advising Center. Happiness in College Consider Graduate School "Motivation" Research History Outline (mostly references) of Research Activiity Great Ideas Project (with Alan W. Biermann) Great Ideas Project in Computer Science with JAVA Alan W. Biermann and Dietolf Ramm Resources (under construction) Pointers KF4PAB, h N1XPB Tech Ref Dictionary DukeGoogle Registrar, rms Blackboard neat Ham Info DFMA OCRA elec-trak WRAL Doppler flickr TA stuff Howto ACM A E F G I How stuff works Favorites Top of Page Contact Teaching Advising Research Pointers diff --git a/src/data/compiled_bios/1608.txt b/src/data/compiled_bios/1608.txt new file mode 100644 index 0000000000..1fbe98aa1a --- /dev/null +++ b/src/data/compiled_bios/1608.txt @@ -0,0 +1 @@ + About me Photo Essays Ion Channel Blockade Cardiac Electorphysiology C. Frank Starmer Emeritus Professor of Computer Science, Duke University (1997-present) Address: 2781 Golf Lake Drive Plant City, Florida 33566 email: frank.starmer at gmail dot com Projects, awards and stuff Plant City Observer: Chasing Curiosity 2018 Duke Medical Alumni Distinguished Faculty Award Duke Medical Alumni video of my Duke career Engaging students with offline (thumbdrive) learning repository> About TeamLEAD at Duke-NUS Annotated Lectures: Experiments with Amazon CDN Leverage mobile phones for ambulatory health monitoring My CV (pdf) Notes about Statistic and Models with Josh My Flickr photos Photo Essays - mostly spiders and places Photo essay extension (blogspot) Lessons from my dad With my colleagues in the field: Joseph Koh, Joanna Yeo, James Koh and Chris Ang at Pulau Ubin, Singapore I've retired but I had one of the biggest adventures of my life: the opportunity to build a learning enterprise from the ground up. This was an opportunity to put new life into Gene Stead's dreams (my first boss at Duke, Chairman of Medicine): From Stead To Singapore: Building a new way to learn (Indexed voice annotated video). The Singapore venture was also an opportunity to out-Duke Duke. We started our out-Dukeing Duke by recognizing that lecture-based curricula do not prepare a student for life after school. Since all our students have completed undergraduate school, they already know now to learn via the lecture-based delivery model of the curriculum. To take our students to the next level, learning on their own or with colleagues, they must develop new skills - that of being comfortable with their uncertainties as well as knowing how to approach uncertainties. Assisting the transition, we focused on strategies to awaken childish curiosity about everything. This radically differs from lecture-driving learning, in that uncertainties are resolved via memorization and curiosity is often suppressed by peers or faculty. Addressing uncertainties, whether in the classroom or at the bedside requires curiosity, good problem solving and critical thinking skills. These skills form part of the foundation of our program. The Duke-NUS Medical School has no formal lectures. Sandy Cook engineered our team-based learning (TeamLEAD), learning from each other. Deciding what content to master was biased toward what we use 80% of the time in order to minimize exposure to the forgetting process. We added search skills to the list of core competencies that one must master. Our goal was to exchange learning soon-forgotten concepts for curiosity-driven learning. Our delivery of learning resources was via USB disk, to reduce dependence on the Internet. Our learning resources consisted of video, powerpoint presentations, voice annotated powerpoints (video play lists) and pdf documents. We enabled students to build a personalized learning-flow, playlists of resources they harvest from our libraries as well as from the Internet. The new Duke-NUS Medical School is a great laboratory for exploring learning as imparted by my dad and Gene Stead . Now with retirement, I am fully engaged in chasing curiosity with friends and family and subjecting myself to weekly (sometimes daily) nature therapy sessions, a well known remedy for Singapore's too-many-people. Spider therapy transcripts are available in my photo essays , where I reveal what others frequently do not see (because they have not enabled their curious eyes and learned to focus their curiosity). This work is licensed under a Creative Commons License . C. Frank Starmer diff --git a/src/data/compiled_bios/1609.txt b/src/data/compiled_bios/1609.txt new file mode 100644 index 0000000000..5a0208cc18 --- /dev/null +++ b/src/data/compiled_bios/1609.txt @@ -0,0 +1 @@ + Robert Wagner Associate Professor Department of Computer Science D336 Levine Science Research Center Box 90129 Duke University Durham NC 27708-0129 (919) 660-6536, FAX: (919) 660-6519 Biography I received the B.S. degree from M.I.T. in 1962 and the Ph.D. degree from the Carnegie-Mellon University in 1969. Before coming to Duke as an Associate Professor in 1978, I was an Assistant Professor of Computer Science at Cornell, and an Associate Professor of Computer Science at Vanderbilt University. Teaching: Spring 2006 CPS 110: Introduction to Operating Systems Teaching: Fall 2005 CPS 149s: Problem Solving (C programming) Teaching: Spring 2005 CPS 110: Introduction to Operating Systems Teaching: Fall 2004 CPS 110: Introduction to Operating Systems Teaching: Spring 2004 CPS 110: Introduction to Operating Systems Teaching: Spring 2003 CPS 110: Introduction to Operating Systems Teaching: Fall 2002 CPS 208: Programming Methodology Teaching: Fall 1999 CPS 206: Programming Languages Teaching: Spring 2002 CPS 106: Programming Languages Teaching: Fall 2001 CPS 218: Compiler Construction Parsing, Semantic Analysis, One-Pass Code Generation. Some optimization for scalars, basic blocks and loops. Course organized around construction of a compiler for a small C-like language, targetted to SPIM (Assembly language for the MIPS 4000). Teaching: Fall 2000 CPS 104: Computer Systems Organization This course is an introductory course in Computer Systems Organization. Our goal is to acquaint students with basic computer functions. The course covers: Basic concepts, Instruction set architecture, Assembly level programming, The Central Processing Unit, Introduction to logic design, finite state machines and computer arithmetic, the memory heirarchy, I/O devices and networks. If there is time we will study parallel machine organization. Interests I am currently interested in Computer Architecture, and am studying methods of implementing RISC processors to avoid or conceal long operation latencies. My most current project seeks to do this by pre-scheduling multiple loop iterations to run in parallel, with instructions issued by one iteration overlapping latency in another. Slides for short talk Some of my specific interests and projects include: Duke Architecture Page. Robert Wagner raw@cs.duke.edu . diff --git a/src/data/compiled_bios/161.txt b/src/data/compiled_bios/161.txt new file mode 100644 index 0000000000..6ae89fb5cb --- /dev/null +++ b/src/data/compiled_bios/161.txt @@ -0,0 +1 @@ + NOISE:Nano Optoelectronic Integrated System Engineering Dream big, think different, work smart!! Home Research Publications Team News Outreach Welcome to the NOISE lab in University of Washington, Seattle. Any technological advancement relies on the synergy of fundamental physics and intelligent engineering. For example, the unprecedented success of information technology in the last century, is fuelled by several physics-Nobel-prize winning discoveries, including, transistors, integrated circuits, lasers and fiber-optics. In Integrated Quantum Optoelectronics lab, we study light-matter interaction, which lies at this intersection between physics and electrical engineering. The fundamental question in optoelectronics is: how to change amplitude, phase and frequency of light, with lower energy, faster speed, smaller size and reduced cost. The solution of this problem is given by efficient engineering of the light-matter interaction. By confining light to a small volume for a long time, scientists have demonstrated light-matter interaction at the most fundamental level enabling single-photon, single atom or single quantum dot (the smallest man-made atom like object) devices. Although unprecedented performances have been demonstrated with these stand-alone devices, unfortunately, no scalable system can be built with them. In our research, we focus on the scalability issue of these low energy optoelectronic devices. More specifically, our research aims to answer: How to make a scalable nanophotonic system (by exploring new materials and novel nanophotonic devices)? Two major challenges for realizing such systems are: weak optical nonlinearity and inherent disorder present in the nano-photonic devices. Hence, we work on cavity enhanced nonlinear optics with 2D materials, as well as, reconfigurable optics design to circumvent the effects of the disorder. Our ultimate goal is to realize single photon nonlinearity using cavity coupled 2D materials, and developing a chip-scale adaptive optics platform. What new applications emerge with development of the scalable optoelectronic systems? A scalable low energy optolectronic system is known to be beneficial for digital optical computing and communication. However, there may be other regimes of optical computing, where the nanophotonic system will be more suitable, like neuromorphic optical computing. Apart from that, these systems can be useful for new class of optical imager, sensors; 3D display technology. With efficient engineering we want to push the energy required in these optoelectronic devices to few photons level, where quantum effects start appearing, and hence these devices can potentially be useful for quantum information science and quantum simulation. Any student (undergraduate or graduate) interested in my research should contact me at arka@uw.edu. (Job_AD) NOISE lab diff --git a/src/data/compiled_bios/1610.txt b/src/data/compiled_bios/1610.txt new file mode 100644 index 0000000000..4d4e55ea1b --- /dev/null +++ b/src/data/compiled_bios/1610.txt @@ -0,0 +1 @@ + Jan M. Allbeck, Ph.D. Associate Dean of the Honors College Associate Professor in the Computer Science Department . Volgenau School of Engineering George Mason University . Contact info : jallbeck at gmu.edu Office: D205D James Buchanan Hall 4400 University Drive MSN 1F4, Fairfax, VA 22030 USA Phone: 703-993-1101: Fax: 703-993-1323 Generally I try to know what is going on in the world by browsing: The BBC, The Press Enterprise, and the weather. I also like photography. These are a few of my older photographs and my photography blog. Research Games And Intelligent Animation (GAIA) Lab Publications Previous Research Teaching HNRS 240 Reading the Past: Technological Impacts: Special Effects Previous Courses Virtual Humans I've had the great opportunity to explore many aspects of computer graphics, but am most drawn to research at the crossroads of animation, artificial intelligence, and psychology in the simulation of virtual humans. All content copyright 2012 Jan Allbeck, all rights reserved. diff --git a/src/data/compiled_bios/1611.txt b/src/data/compiled_bios/1611.txt new file mode 100644 index 0000000000..2d36a185e0 --- /dev/null +++ b/src/data/compiled_bios/1611.txt @@ -0,0 +1 @@ + Paul Ammann Associate Professor, Software Engineering Department of Computer Science Volgenau School of Engineering George Mason University Mail Stop 4A5; Engineering Building, Room 4428 pammann@gmu.edu 703 993-1660; 703 993-1638 (fax) Spring 2019 Office Hours: Tuesdays, Thursdays 1-2PM. Feel free to contact me by email. 2nd edition available from Cambridge University Press , November 2016. Order from Amazon Google Scholar CV Research Interests Semantic-Based Transaction Processing Software For Critical Systems Secure Information Systems Software Testing Formal Methods Teaching Internship Preparation/Reflection (SWE 301/SWE 401) OO Software Design and Implementation (SWE/CS 332) Programming For the World Wide Web (SWE 432) Software Testing and Maintenance (SWE 437) Program Design and Data Structures (INFS 590) OO Software Specification and Construction (SWE 619) Distributed Software Engineering (SWE 622) Formal Methods and Models For Software Engineering (SWE 623) Software Testing (SWE 637) Software For Critical Systems (INFT 823) Spring 2019 Classes SWE 205: Software Usability Analysis and Design SWE 301/401: Internship Preparation/Reflection (Note that Dr. Offutt and I teach this course "tag team". This semester, Dr. Offutt is the instructor of record.) SWE 637: Software Testing SWE ACS and SWE Minor You may be interested in slides describing the Software Engineering Minor and the Applied Computer Science Degree in Software Engineering. More information can be found on the relevant department page . Biosketch 2014 Bull Run 50 Miler . Photo by Mike Bur . I am an Associate Professor in the Software Engineering Group in the Department of Computer Science. My basic research interest might best be described as "Why do things go wrong and what can we do about it?" Current research topics include semantic-based transaction processing, software for critical systems, secure information systems, software testing, and formal methods. Particularly fruitful of late have been studies of the intersection between formal methods and databases and of the intersection between formal methods and testing. Such cross disciplinary topics have always interested me - probably a consequence of my undergraduate education. I have published eighty some research papers in refereed journals, conferences, and workshops. I earned an AB degree in Computer Science from Dartmouth College, and MS and PhD degrees in Computer Science from the University of Virginia. I enjoy recreational racing for road runners, trail runners, and triathletes. I offer my reports to those interested in my perspective on these events. CS home page diff --git a/src/data/compiled_bios/1612.txt b/src/data/compiled_bios/1612.txt new file mode 100644 index 0000000000..df0ecea19d --- /dev/null +++ b/src/data/compiled_bios/1612.txt @@ -0,0 +1 @@ + Kevin Andrea Instructor Office Engineering 4610 Phone 703-993-5429 Email kandrea@gmu.edu diff --git a/src/data/compiled_bios/1613.txt b/src/data/compiled_bios/1613.txt new file mode 100644 index 0000000000..c7fff72956 --- /dev/null +++ b/src/data/compiled_bios/1613.txt @@ -0,0 +1 @@ + Main Return to main page, with introductory and contact information. Curriculum Vitae PDF download. Teaching Information and resources relating to teaching work. Publications Published and submitted papers. GMU Homepage Homepage of George Mason University. GMU Dept of CS Homepage of George Mason University. Ivan Avramovic Term Instructor, Computer Science George Mason University Ivan Avramovic is a Term Instructor working in the Department of Computer Science at George Mason University . This position follows several years of work as an adjunct faculty member and as a graduate teaching assistant for the Department of Computer Science as well as the Department of Health Administration and Policy 's Health Informatics program, resulting in multiple distinguished teaching awards. He has previously completed an M.S. in Computer Science at GMU and a B.S. in Electrical Engineering from the University of Illinois at Urbana-Champaign . In addition to teaching, he is in the candidacy phase of his doctoral research, advised by Professor Dana Richards . The research involves analysis of randomized algorithms, combinatorics, and information dissemination algorithms. Ivan Avramovic has lived most of his life in northern Virginia. He has also lived in Illinois and New York, and was born in the former Yugoslavia. He is married to Dr. Sanja Avramovic , a tenure-track Assistant Professor in the Health Informatics program. Together, they have a daughter by the name of Tara. Email: iavramo2 (at) gmu (dot) edu Office: 4609 Engineering Building Phone: (703) 993-5426 Department of Computer Science George Mason University, MS 45A 4400 University Drive Fairfax, VA 22030 Webpage designed and copyright 2018 by Ivan Avramovic Last updated: Aug 30, 2018 diff --git a/src/data/compiled_bios/1614.txt b/src/data/compiled_bios/1614.txt new file mode 100644 index 0000000000..a5b8ef468c --- /dev/null +++ b/src/data/compiled_bios/1614.txt @@ -0,0 +1 @@ + Hakan Aydn Professor Director, PhD Program Dept. of Computer Science George Mason University Research Interests Real-Time Embedded Systems Low-Power Computing Fault Tolerance Real-Time Operating Systems Publications Google Scholar Profile General Chair The 18th IEEE Real-Time/Embedded Technology and Applications Symposium (RTAS'12) Technical Program Committee Chair The 17th IEEE Real-Time/Embedded Technology and Applications Symposium (RTAS'11) Technical Program Committee Co-Chair The International Workshop on Power, Energy, and Temperature Aware Real-time Systems (PETARS'12) The Second International Workshop on Power-Aware Real-Time Computing (PARC'05) Associate Editor Journal of Real-Time Systems (Springer) Guest Co-Editor International Journal of Embedded Systems (IJES) Special Issue on Low-Power Real-Time Computing Technical Program Committee Positions (2016) The 37th IEEE Real-Time Systems Symposium (RTSS'16) The 11th IEEE International Symposium on Industrial Embedded Systems (SIES'16) The 31st ACM Symposium on Applied Computing (SAC'16) [Operating Systems Track] The 3rd International Workshop on Energy Management for Sustainable Internet-of-Things and Cloud Computing (EMSICC'16) PhD Students Vinay Devadas (2011) Dissertation: System-Level Energy Management for Real-Time Systems Baoxian Zhao (2012) Dissertation: Joint Reliability and Energy Management for Real-Time Embedded Systems Bo Zhang (2012) Dissertation: Performance Management for Energy Harvesting Wireless Sensor Networks Co-Advisor: Robert Simon Mohammad Atiqul Haque (2016) Dissertation: Reliability Management Techniques for Energy-Aware Multiprocessor Real-Time Systems Maryam Bandari (2016) Dissertation: Energy Management in Performance Sensitive Wireless Sensor Networks Co-Advisor: Robert Simon Arda Gumusalan (Expected 2018) Co-Advisor: Robert Simon Abhishek Roy (In Progress) Address Engineering Building, Room 5308 Department of Computer Science George Mason University MSN 4A5, 4400 University Drive Fairfax, VA 22030 Phone: (703)-993 3786 Fax: (703)-993 1710 E-mail: aydin at cs dot gmu dot edu diff --git a/src/data/compiled_bios/1615.txt b/src/data/compiled_bios/1615.txt new file mode 100644 index 0000000000..e6016534a7 --- /dev/null +++ b/src/data/compiled_bios/1615.txt @@ -0,0 +1 @@ + Foteini Baldimtsi teaching Cryptography CS 795 ISA 656 ISA656 isa656_s18 Sitemap Foteini Baldimtsi I am an assistant professor in the Computer Science Department at George Mason University . My research interests are in cryptography, security and data privacy with a special focus in electronic cash, Bitcoin and blockchain technologies and private authentication techniques. My research is supported by NSF and an IBM faculty award. I received my Ph.D. from Brown University in May 2014 where I was supervised by Anna Lysyanskaya. During my time at Brown I was fortunate to spent a semester at Microsoft Research in Redmont, WA working in the Cryptography group with Melissa Chase and a summer at IBM Research in Zurich working as a member of the Cryptography and Security group . From 2014 to 2016 I was a postdoctoral researcher in the BU Security group at Boston University and also had a research affiliation with the Crypto.Sec group at University of Athens . Teaching Network Security (ISA 656), Spring 2019 , Spring 2018 , Fall 2016 Cryptography (CS 499/CS 595), Fall 2018 Blockchain Technologies (CS 795), Spring 2017 Fall 2015: Network Security and Applied Crypto (CS558 Boston University) Program committees: NDSS 2019 , PETS 2019 , IEEE S&P 2019 , FC 2019 , ACM-CCS 2018 , CRYPTO 2018 , BITCOIN 2018 , EuroSec 2018 , SCNS 2018 , ACM-CCS 2017 , Bitcoin Scaling Workshop 2017 , PST 2017 , BITCOIN 2017 , FC 2017 , IEEE EuroS&P Blockchain Workshop 2017 , SCN 2016 , BITCOIN 2016 Publications "TumbleBit: An Untrusted Bitcoin-Compatible Anonymous Payment Hub" Ethan Heilman, Leen Alshenibr, Foteini Baldimtsi, Alessandra Scafuro, Sharon Goldberg NDSS , 2017. Project site (maintained by Ethan Heilman) Media coverage: Nasdaq , btc Manager , Bitcoin Magazine(1) , Bitcoin Magazine(2) , more at project site . "Efficient Accumulators with Applications to Anonymity-Preserving Revocation" Foteini Baldimtsi, Jan Camenisch, Maria Dubovitskaya, Anna Lysyanskaya, Leo Reyzin, Kai Samelin, Sophia Yakoubov EuroS&P , 2017. "Secure Computation in Online Social Networks" Foteini Baldimtsi, Dimitris Papadopoulos, Stavros Papadopoulos, Alessandra Scafuro and Nikos Triandopoulos ESORICS , 2017. "Watermarking Public-Key Cryptographic Functionalities and Implementations" Foteini Baldimtsi, Katerina Samari, Aggelos Kiayias ISC , 2017. "Indistinguishable Proofs of Work or Knowledge" Foteini Baldimtsi and Aggelos Kiayias and Thomas Zacharias and Bingsheng Zhang ASIACRYPT , 2016. "Blindly Signed Contracts: Anonymous On-Blockchain and Off-Blockchain Bitcoin Transactions" Ethan Heilman; Foteini Baldimtsi; Sharon Goldberg BITCOIN , 2016. "Recovering Lost Device-Bound Credentials" Foteini Baldimtsi, Jan Camenisch, Lucjan Hanzlik, Stephan Krenn, Anja Lehmann, Gregory Neven ACNS , 2015. Anonymous Transferable E-Cash Foteini Baldimtsi, Melissa Chase, Georg Fuchsbauer, Markulf Kohlweiss PKC , 2015. Sorting and Searching Behind the Curtain Foteini Baldimtsi and Olga Ohrimenko Financial Cryptography (FC) , 2015. Cryptographic Theory Meets Practice: Efficient and Privacy-Preserving Payments for Public Transport Andy Rupp, Foteini Baldimtsi, Gesine Hinterwlder and Christof Paar ACM-TISSEC , 2014. On The Security of One-Witness Blind Signature Schemes Foteini Baldimtsi and Anna Lysyanskaya ASIACRYPT , 2013. Anonymous Credentials Light Foteini Baldimtsi, Anna Lysyanskaya ACM Conference on Computer and Communications Security (ACM-CCS) , 2013. Efficient E-cash in Practice: NFC-based Payments for Intelligent Transportation Systems Gesine Hinterwlder, Christian T. Zenger, Foteini Baldimtsi, Anna Lysyanskaya, Christof Paar and Wayne P. Burleson Privacy Enhancing Technologies Symposium (PETS) , 2013. P4R: Privacy-Preserving Pre-Payments with Refunds for Transportation Systems Andy Rupp, Gesine Hinterwlder, Foteini Baldimtsi and Christof Paar Financial Cryptography (FC) , 2013. Pay as you go Foteini Baldimtsi, Gesine Hinterwalder, Andy Rupp, Anna Lysyanskaya, Christof Paar and Wayne P. Burleson Workshop on hot topics in privacy enhancing technologies, HotPETSs 2012 , Vigo, Spain, 2012. *** A blog post describing how can we get private, secure and efficient payments for public transportation. Two types of Key-Compromise Impersonation Attacks against One-Pass Key-Establishment Protocols K. Chalkias, F. Baldimtsi, D. Hristu-Varsakelis, G. Stephanides In 'E-Business and Telecommunication', Volume 23, pp. 227-238, Springer, 2009. An Implementation Infrastructure for Server-Passive Timed-Release Cryptography K. Chalkias, F. Baldimtsi, D. Hristu-Varsakelis, G. Stephanides Information Assurance and Security Conference, 2008 ( IAS '08 ), pp.89-94, 8-10 Sept. 2008, IEEE Proceedings. Mathematical Problems And Algorithms For Timed-Release Encryption K. Chalkias, F. Baldimtsi, D. Hristu-Varsakelis and G. Stephanides Bulletin of the Transilvania University of Brasov, Vol 15(50) Series B - 2008, 1-4, 2008. On the Key-Compromise Impersonation vulnerability of One-pass key establishment protocols K. Chalkias, F. Mpaldimtsi, D. Hristu-Varsakelis and G. Stephanides In International Conference on Security and Cryptography ( SECRYPT 2007) , Barcelona, Spain, July 28-31, 2007. Technical Reports Attacks on the AKACP Protocol , K. Chalkias, F. Baldimtsi, D. Hristu-Varsakelis, S.T. Halkidis and G. Stephanides, IACR Cryptology Eprint Archive, 2010/500, 2010. Contact address: Foteini Baldimtsi CS Department George Mason University 4400 University Drive MSN 4A5 Fairfax, VA 22030 USA Email: Sign in | Recent Site Activity | Report Abuse | Print Page | Powered By Google Sites diff --git a/src/data/compiled_bios/1616.txt b/src/data/compiled_bios/1616.txt new file mode 100644 index 0000000000..530aad90c6 --- /dev/null +++ b/src/data/compiled_bios/1616.txt @@ -0,0 +1 @@ + Daniel Barbar Contact Information Students Resume Projects Patents Classes Professor CS Department George Mason University Created by Daniel Barbar Email: dbarbara@gmu.edu To CS's home page diff --git a/src/data/compiled_bios/1617.txt b/src/data/compiled_bios/1617.txt new file mode 100644 index 0000000000..a67a862479 --- /dev/null +++ b/src/data/compiled_bios/1617.txt @@ -0,0 +1 @@ + Jon Bell About Jon Blog Research Overview Teaching Service Publications Software CV About Jon Blog Research Overview Teaching Service Publications Software CV Software Engineering and Software Systems Researcher Jon Bell About CV home About Jon Jon is an Assistant Professor directing research in Software Engineering and Software Systems at George Mason University. His research makes it easier for developers to create reliable software by improving software testing. Jons recent work in accelerating software testing has been recognized with an ACM SIGSOFT Distinguished Paper Award (ICSE 14 Unit Test Virtualization with VMVM ), and has been the basis for an industrial collaboration with Electric Cloud . His program analysis research has resulted in several widely adopted runtime systems for the JVM, including the Phosphor taint tracking system ( OOPSLA 14) and CROCHET checkpoint/rollback tool ( ECOOP 18 ). Jon is committed to releasing software artifacts that accompany his research papers. His research interests bring him to publish at venues such as ICSE, FSE, ISSTA, OOPSLA, OSDI and EuroSys. Jon serves on a variety of program committees, and has been involved in the logistical organization of many recent OOPSLAs, most recently as publicity chair. He also co-organized the PL/SE mentoring workshop at SPLASH in 2017 and 2018. His other interests include photography and cycling. Jon is currently recruiting exceptional students at all levels (undergrad, masters and PhD) to join his research group. If you are interested, please send him an email. More information about Jon, including a complete publications listing, is available in his Curriculum Vitae . About Jon September 4th, 2018 Jon research Research Overview I apply a systems perspective to software engineering challenges, observing the issues that developer face when creating reliable software, and then designing new mechanisms to support developers.My research focuses on improving existing developer-written tests, making them run faster and more reliably while amplifying them to be more comprehensive and also tracking their overall quality.Rather than focus solely on finding a handful of high-value million dollar bugs in a small pool of high-assurance software, my research aims to have very broad impacts, helping everyday developers just as much as experts. In developing new techniques and methodologies to address these real-world developer challenges, I often find that my research contributions span across several different fields, yielding publications in program analysis venues like OOPSLA and ECOOP, software testing venues like ICST, and software systems venues like EuroSys and OSDI in addition to my home community of software engineering (ICSE, FSE and ASE).In addition to publications, I believe that it is important to disseminate code artifacts, and have made all of my tools publicly available (licensing restrictions permitting). An up-to-date listing of my publications can be found online , or in my CV and Google Scholar . You can read more about several selected research projects below: Enhancing Continuous Integration Testing (ICSE 2018) Continuous integration (CI) aims to improve modern software development by automating software compilation and regression testing. Recent studies report that CI helps developers deploy faster and reduce development cost. Given these success stories, CI has attracted rapidly increasing interest and adoption, e.g., Travis CI is used by over 300,000 GitHub projects. Despite the success of CI, developers report they would like to see improvements in CI. First, they want to faster obtain regression test results. Second, they want better handling of flaky tests, which are regression tests that can non-deterministically pass or fail, and whose failures negatively affect developers productivity. Third, developers report that CI builds do not provide sufficient debugging assistance. Much of my recent work in this project has focused specifically on flaky tests .For most modern applications, which are expected to behave nondeterministically, it is impossible to truly test them in a purely deterministic way, and hence, flaky tests (which pass or fail nondeterministically) are inevitable.While some developers might struggle to eliminate flakiness in tests by replacing nondeterministic program behavior with (deterministic) mocks and stubs, they will never truly represent the full range of possible application behaviors, and hence, may not be effective tests.Hence, what developers need is an effective way to gauge confidence in both the outcome of each test case (for a given execution) and also in the overall quality of their test suite. DeFlaker begins to bridge this gap DeFlaker can mark a test execution as flaky without requiring any reruns.DeFlaker combines historical test results with code coverage and code revision information, marking a test as flaky if its outcome changes (from pass to fail or fail to pass) without executing any code that changed since its prior run.DeFlaker imposes only a very minimal performance overhead by tracking hybrid differential coverage , tracking coverage of only changed code, and combining multiple granularities of coverage (statement and file-level).DeFlaker can be trivially added to a Maven-based project, and we evaluated it in the context of a hundred projects using TravisCI. Runtime Systems for Security and Testing (ECOOP 2018, OOPSLA 2014) We have built one-of-a-kind JVM-based runtime systems for dynamic taint tracking and checkpoint-rollback that have enabled many new research contributions in software engineering and security. These systems-oriented contributions answer engineering problems that have arisen while we have been working to solve (developer-facing) software engineering problems.Both of these systems are designed to be extremely portable (using only public APIs to interface with the JVM) and extremely performant, allowing them to be embedded as a part of a larger tool (in our ongoing and future work). Dynamic taint tracking is a form of information flow analysis that identifies relationships between data during program execution.Inputs to the program are labeled with a marker ( tainted), and these markers are propagated through data flow.Traditionally, dynamic taint tracking is used for information flow control, or detection of code-injection attacks.Without a performant, portable, and accurate tool for performing dynamic taint tracking in Java, software engineering research can be restricted.In Java, associating metadata (such as tags) with arbitrary variables is very difficult: previous techniques have relied on customized JVMs or symbolic execution environments to maintain this mapping, limiting their portability and restricting their application to large and complex real-world software. To close this gap, we created Phosphor (OOPSLA 2014), whichprovides taint tracking within the Java Virtual Machine (JVM) without requiring any modifications to the language interpreter, VM, or operating system, and without requiring any access to source code. Checkpoint/rollback (CR) tools capture the state of an application and store itin some serialized form, allowing the application to later resume execution by returning to that same state.CR tools have been employed to support many tasks, including faulttolerance, input generation and testing, and process migration.Prior work in JVM checkpointing required a specialized, customJVM, making them difficult to use in practice. Our goal is to provide efficient,fine-grained, and incremental checkpoint support within the JVM, using onlycommercial, stock, off-the-shelf, state-of-the-art JVMs (e.g. Oracle HotSpot andOpenJDK). Guided by key insights into the JVM Just-In-Time (JIT) compilerbehavior and the typical object memory layout, we created CROCHET: CheckpointROllbaCk with lightweight HEap Traversal for the JVM (ECOOP 2018).CROCHET is a system for in-JVM checkpoint and rollback, providingcopy-on-access semantics for individual variables (on the heap and stack)that imposes very low steady-state overhead and requires no modificationsto the JVM. Measuring Test Coverage (ASE 2018) Statement coverage is commonly used as a measure of test suite quality.Coverage is often used as a part of a code review process: if a patch decreases overall coverage, or is itself not covered, then the patch is scrutinized more closely.Traditional studies of how coverage changes with code evolution have examined the overall coverage of the entire program, and more recent work directly examines the coverage of patches (changed statements).We performed an evaluation much larger than prior studies and moreover consider a new, important kind of change coverage changes of unchanged statements.At ASE 2018, we presented a large-scale evaluation of code coverage evolution over 7,816 builds of 47 projects written in popular languages including Java, Python, and Scala. We found that in large, mature projects, simply measuring the change to statement coverage does not capture the nuances of code evolution.Going beyond considering statement coverage as a simple ratio, we examined how the set of statements covered evolves between project revisions. We have presented and studied new ways to assess the impact of a patch on a projects test suite quality that both separates coverage of the patch from coverage of the non-patch, and separates changes in coverage from changes in the set of statements covered. Accelerating Test Execution (ICST 2018, FSE 2015, ICSE 2014 Distinguished Paper, IEEE Software) Slow builds remain a plague for software developers. The frequency with which code can be built (compiled, tested and packaged) directly impacts the productivity of developers: longer build times mean a longer wait before determining if a change to the application being built was successful. We have discovered that in the case of some languages, such as Java, the majority of build time is spent running tests, where dependencies between individual tests are complicated to discover, making many existing test acceleration techniques unsound to deploy in practice. In my first approach to accelerate testing, Unit Test Virtualization (published at ICSE where it received a distinguished paper award), we looked at ways to speed up testing in projects that isolate the in-memory state of each test case in an attempt to prevent dependencies from occurring. However: for projects that do not isolate their tests, not only would VMVM not be applicable, but out-of-the-box test acceleration techniques such as test selection or test parallelization would be unsound.When dependencies go unnoticed, tests can unexpectedly fail when executed out of order, causing unreliable builds.My second approach, ElectricTest (published at FSE), identifies data dependencies between test cases, allowing for automatic and sound test acceleration. While this approach was sound (that is, it never misses a possible dependency), it is not very precise, which may over-constraint test selection and parallelization.Extending ElectricTest, I collaborated with Alessio Gambi and Andreas Zeller to create PraDet (ICST), an approach that refines ElectricTests dependency results. Research Overview January 2nd, 2019 Jon teaching Teaching I teach undergraduate and graduate Software Engineering and Systems classes at George Mason University, and make all of my teaching materials publicly available in the hope that they may be useful to others (outside of my institution). Current: CS 475: Concurrent and Distributed Systems (Undergraduate, Spring 2019) Upcoming: CS 475: Concurrent and Distributed Systems (Undergraduate, Fall 2019) Past: SWE 432:Design and Implementation of Software for the Web (Undergraduate, Fall 2018) CS 475: Concurrent and Distributed Systems (Undergraduate, Spring 2018) CS/SWE 795: Program Analysis for Software Testing (Graduate, Fall 2017) SWE 622: Distributed Software Engineering (Graduate, Spring 2017) SWE 432:Design and Implementation of Software for the Web (Undergraduate, Fall 2016) Teaching January 2nd, 2019 Jon service Service A complete up-to-date list of my service activities such as journal reviewing (e.g. Empirical Software Engineering and others), program committee membership (e.g. ASE, ICST and others) and funding evaluation (e.g. NSF panels) is maintained in my CV .I serve as faculty advisor to GMUs Student-Run Computing and Technology (SRCT) group, an undergraduate organization that supports students interested in computing.I have (in 2017 and 2018) and will continue (in 2019) to co-organize the NSF-supportedundergraduate Programming Languages Mentoring Workshop (PLMW) at SPLASH, an event focusing on broadening the participation of underrepresented groups in PL and SE research. In the two years that I have been involved in the organization ( 2017 and 2018 ), PLMW has reached an incredibly diverse audience and made a demonstrable impact on undergraduate students decisions to pursue graduate school in computer science. Service January 2nd, 2019 Jon Contact Social Media: GitHub | Twitter Email: bellj@gmu.edu diff --git a/src/data/compiled_bios/1618.txt b/src/data/compiled_bios/1618.txt new file mode 100644 index 0000000000..80fe41ed60 --- /dev/null +++ b/src/data/compiled_bios/1618.txt @@ -0,0 +1 @@ + Alexander (Alex) Brodsky Professor Department of Computer Science Volgenau School of Engineering George Mason University 4400 University Drive, MS 4A5 Fairfax, Virginia 22030-4444 Office: 4418 Nguen Engineering Building Phone: 703-993-1529 Email: brodsky@gmu.edu Web: cs.gmu.edu/~ brodsky Office Hours (Spring 2018): Wednesday 5:00-6:00 PM - please verify Biosketch LinkedIn Current Research Interests: - Decision Support, Guidance and Optimization (DSGO) systems - DSGO applications, including to manufacturing, energy, power, sustainability and supply chain Prior Research Interests: - Constraint databases - Constraints for databases and secure information systems About Decision Guidance Overview of publications Google Scholar Research Gate Courses Regularly Taught: - CS 450 Database Concepts - CS-550 Database Management Systems - CS-787 Decision-Guidance Systems - INFS-740 Database Programming for the World-Wide Web Former PhD Students (as of Summer 2016): - Prof. Hanan Mengash , A Decision-Guided Group Package Recommender based on Multi-Criteria Optimization and Voting, defended in the Spring of 2016. Dr. Mengash is a computer science professor at Princess Nora Bin Abdul Rahaman Univeristy . - Prof. Hesham Altaleb , Market-based Decision Guidance for Electric Power Consortia, 2015. Dr. Altaleb is a Computer and Information Sciences professor at Muhammad Bin Saudi University. - Dr. John McDowal , A Framework for Optimal Service Composition and Execution Based on Business Process Management Notation (BPMN), 2014. Directed jointly with Professor Kerschberg . Dr. McDowal is a computer scientist at Booz-Allen-Hamilton. - Dr. Nathan Egge , Decision Guidance Query Language (DGQL): Algorithms based on Preprocessing and Continuous Approximations, 2014. Dr. Egge is currently a research staff member at the Mozilla Corporation. - Dr. Susan Farley, Top-k Algorithms for SimQL : A Decision Guidance Query Language Based on Stochastic Simulation, 2013. Dr. Farley is a computer scientist at Booz-Allen-Hamilton. - Prof. Chun-Kit Ngan, A Framework and Algorithms for Multivariate Time Series Analytics: Learning, Monitoring, and Recommendation, 2013. Directed jointly with Professor Lin. Dr. Ngan is a professor at Penn State University. - Dr. Guodong (Gordon) Shao, Decision Guidance for Sustainable Manufacturing, 2013. Directed jointly with Professor Ammann . Dr. Shao is a Computer Scientist working on decision support for Smart Manufacturing Systems at the National Institute of Standards and Technology (NIST). - Dr. Juan (Judy) Luo, Regression Learning in Decision Guidance Systems: Models, Languages and Algorithms, 2012. Dr. Luo works at George Mason University. - Dr. Khalid Alodhaibi , Decision-Guided Recommenders with Composite Alternatives, 2011. Dr. Alodhaibi is currently CIO and Executive Director of King Fahad Medical City, Saudi Arabia. - Dr. Lei Zhang, Securing the Information Disclosure Process, 2010. Directed jointly with Professor Jajodia . Dr. Zhang works at Google Corporation. - Prof. Malak Al- Nury , Service Composition Framework to Unify Simulation and Optimization in Supply Chains, 2010. Dr. Malak is a professor and chair of the Information Systems department at Effat University in Saudi Arabia. She is currently on a two-year assignment at MIT. - Prof. Csilla Farkas , Secure Databases: Constraints, Inference Channels and Monitoring Disclosures, 1999. Directed jointly with Professor Jajodia . Dr. Farkas is a professor at the University of South Carolina. - Dr. Jia Chen, Multityped Constraint Algebras and Mathematical Programming in Constraint Databases, 1999. - Dr. Victor Segal, Algorithms, Optimization and Implementation of Constraint Object-Oriented Database System, 1999. Dr. Segal currently is Principle System Engineer at MITRE Corporation. - Prof. Samuel Varas , On Optimal Constraint Decomposition, Monitoring and Management in Distributed Environments, 1998. Directed jointly with Professor Kerschberg . Dr. Varas is a professor at the Adolfo Ibanez University in Santiago, Chile. Current PhD Students - Mohan Krishnamoorthy , Manufacturing Processes: Languages and Algorithms for Descriptive, Predictive and Prescriptive Analytics. Directed jointly with Professor Menasce . - Roberto Levy, A Decision Guidance Framework for Energy Public Policy and Investment. - M. Omar Nachawati, Algorithms and Framework for a Decision Guidance Management System.. - Fernando Boccanera , Decision Guidance for Healthcare Individual and Group Policy . diff --git a/src/data/compiled_bios/1619.txt b/src/data/compiled_bios/1619.txt new file mode 100644 index 0000000000..0cac024c4d --- /dev/null +++ b/src/data/compiled_bios/1619.txt @@ -0,0 +1 @@ + Jim X. Chen, Ph.D. Professor of Computer Science MS 4A5, George Mason University Fairfax, VA 22030-4444, USA jchen (a) gmu.edu Phone : 703-993-1720 Office : Eng 4446; TR 12:10-1:10pm Jim's Brief Bio Professional Activities China Programs Coordinator , Computer Science Department , GMU Editor-in-Chief , Computing in Science & Engineering , IEEE and AIP Research Interests Computer graphics : physics-based modeling, real-time simulation, graphics software and hardware Virtual reality : stereoscopic display, augmented virtual reality, virtual environments Networking : distributed interactive simulation, networked virtual environments, distance learning Visualization : visual computing, computational steering, information visualization Medical imaging : model alignment and reconstruction, visualization, virtual surgery Teaching CS 222 Computer Programming for Engineers CS 551 Computer Graphics diff --git a/src/data/compiled_bios/162.txt b/src/data/compiled_bios/162.txt new file mode 100644 index 0000000000..22a340cfbc --- /dev/null +++ b/src/data/compiled_bios/162.txt @@ -0,0 +1 @@ + Home People Projects Publications Apply Calendar Gallery Sponsors Contact Sensors, Energy, and Automation Laboratory Sensors, Energy, and Automation Laboratory SEAL is University research laboratory located in the University of Washington Department of Electrical Engineering. Projects at SEAL are focused on sensor and sensor array design using electric, magnetic, acoustic, and thermal fields. SEAL focuses on developing new products in the area of medical and green energy technologies. The lab performs R&D and P&D by working in collaboration with the NIH, the NSF and other research organizations introducing cutting edge technology to the market. Getting Involved Are you interested in joining SEAL? SEAL is always looking for new graduate and undergraduate additions. Funded Projects SEAL projects are focused on the design of sensor and sensor arrays using electric, magnetic, acoustic, and thermal fields. Publications A list of publications in Sensors, Instrumentation and Measurement, Power electronics, etc. SEAL Members A list of active members including Faculty, Staff, Post Docs, Graduate Students, Undergraduates, and Almuni. Announcement 2019 SEAL. All Rights Reserved. Muffin group diff --git a/src/data/compiled_bios/1620.txt b/src/data/compiled_bios/1620.txt new file mode 100644 index 0000000000..7b975f6b23 --- /dev/null +++ b/src/data/compiled_bios/1620.txt @@ -0,0 +1 @@ + Songqing Chen Professor Department of Computer Science George Mason University Office: 5319 Engineering Building Phone: 703-993-3176 Fax: 703-993-1710 Email: sqchen at gmu dot edu (replace at with @, dot with .) Biosketch Teaching CS 571: Operating Systems, Fall 2018 Research Interests Internet Content Delivery Systems Internet Measurement and Modeling Mobile and Cloud Computing Network and System Security Distributed Systems SANG Seminars@Mason System and Networking Group Seminars@Mason .( invitation ) Recent Publications ( Publication List ) Mengbai Xiao, Shuoqian Wang, Chao Zhou, Li Liu, Zhenhua Li, Yao Liu, and Songqing Chen. "MiniView Layout for Bandwidth-Efficient 360-Degree Video" . Proceedings of the 26th ACM International Conference on Multimedia (MM'2018), Seoul, Korea, October 22-26, 2018. Li Liu, An Wang, Wanyu Zang, Meng Yu, Mengbai Xiao, and Songqing Chen. "Shuffler: Mitigate Cross-VM Side-channel Attacks via Hypervisor Scheduling" . Proceedings of the 14th EAI International Conference on Security and Privacy in Communication Networks (SecureComm'2018), Singapore, Singapore, August 8-10, 2018. Li Liu, An Wang, Wanyu Zang, Meng Yu, and Songqing Chen. "Empirical Evaluation of the Hypervisor Scheduling on Side Channel Attacks" . Proceedings of the IEEE International Conference on Communications (ICC'2018), Kansas City, MO, May 20-24, 2018. Mengbai Xiao, Chao Zhou, Viswanathan Swaminathan, Yao Liu, and Songqing Chen. "BAS-360: Exploring Spatial and Temporal Adaptability in 360-degree Videos over HTTP/2" . Proceedings of the 37th IEEE International Conference on Computer Communications (INFOCOM'2018), Honolulu, HI, April 15-19, 2018. Zili Zha, An Wang, Yang Guo, Doug Montgomery, and Songqing Chen. "Instrumenting Open vSwitch with Monitoring Capabilities: Designs and Challenges" . Proceedings of the ACM Symposium on SDN Research (SOSR'2018), Los Angeles, CA, March 28-29, 2018. Recent Professional Activities Conference Organization General Co-Chair: SEC 2019 (please submit your work and help with publicize Poster ) Sponsorship Chair: SEC'2018 Technical Program Committee Member KDD'2018 , MM'2018 , INFOCOM'2018 , CIKM'2018 , NOSSDAV'2018 , MMSys'2018 , CNS'2018 , ICME'2018 , ICCCN'2018 , WASA'2018 , NSS'2018 , CLOUD'2018 , ICICS'2018 , HotEdge'2018 Past Research Advisees Mengbai Xiao, Ph.D., defended in May 2018, PostDoc at Ohio State University. Wentao Chang, Ph.D., defended in May 2018, Google. An Wang, Ph.D., defended in April 2018, Assistant Professor of Computer Science at Case Western Reserve University. Huangxin Wang, Ph.D., co-advising, defended in May 2017, Facebook. Mohammad Karami, Ph.D., co-advising, defended in May 2016, Google. Ming Zhang, M.S., May 2015, Amazon. Mohammed Hassan, Ph.D., defended in November 2014, NetApp. Xin Li, M.S., defended in April 2013, Samsung Research America Dallas. Yao Liu, Ph.D., defended in April 2013, Assistant Professor of Computer Science at SUNY Binghamton. Kshitiz Bhattarai, M.S., December 2012, SAP Lab. Lei Liu, Ph.D., defended in December 2010, Vuclip. Dongyu Liu, Ph.D., defended in August 2009, MicroStrategy. diff --git a/src/data/compiled_bios/1621.txt b/src/data/compiled_bios/1621.txt new file mode 100644 index 0000000000..89642a305d --- /dev/null +++ b/src/data/compiled_bios/1621.txt @@ -0,0 +1 @@ + Yue Cheng Assistant Professor @ GMU Home Publications Research Teaching Contact Me [excel] About Me I am an Assistant Professor of Computer Science at George Mason University . I am broadly interested in computer systems. My research covers a range of topics including distributed systems, storage systems, container-based virtualization, serverless/cloud computing, and the internet of things. Currently I am working on a few exciting projects including: (1) optimizing serverless platform; (2) exploiting NVM in HPC; (3) large-scale cluster (container) scheduling; and (4) systems support for distributed machine learning. I received my Ph.D. degree from the Department of Computer Science at Virginia Tech, where I worked with Ali R. Butt . During my Ph.D. I spent two summers at IBM Research Almaden in 2013 and 2014, and six months at Dell EMC Princeton Office in 2015. Research Openings Details I am currently looking for motivated students to work with me on systems research. If you are a Mason student who is interested in doing systems research, please come talk to me. For students outside Mason, I encourage you to apply to our graduate program. I can be reached at yuecheng@gmu.edu . News 02/04/2019 Acceptance Congrats to Li on his VEE'19 paper! 01/23/2019 Acceptance Congrats to Jingyuan and Ao for their NSDI'19 WiP on elastic serverless computing framework! 12/15/2018 Paper Acceptance MOANA is accepted by TPDS. 09/10/2018 TPC Serving on the TPC for HPDC'19 and MSST'19 . Please consider submitting your interesting work! 08/31/2018 Cloud Credits! Received a Google Cloud Platform Grant for Research. Thanks GCP! *Archived news* Selected Publications Full list BESPOKV: Application Tailored Scale-Out Key-Value Stores Ali Anwar, Yue Cheng , Hai Huang, Jingoo Han, Hyogi Sim, Dongyoon Lee, Fred Douglis, Ali R. Butt IEEE SC '18 Slides Github Improving Docker Registry Design based on Production Workload Analysis Ali Anwar, Mohamed Mohamed, Vasily Tarasov, Michael Littley, Lukas Rupprecht, Yue Cheng , Nannan Zhao, Dimitrios Skourtis, Amit S. Warke, Heiko Ludwig, Dean Hildebrand, Ali R. Butt USENIX FAST '18 Github Traces Erasing Belady's Limitations: In Search of Flash Cache Offline Optimality Yue Cheng , Fred Douglis, Philip Shilane, Michael Trachtman, Grant Wallace, Peter Desnoyers, Kai Li USENIX ATC '16 audio poster CAST: Tiering Storage for Data Analytics in the Cloud Yue Cheng , M. Safdar Iqbal, Aayush Gupta, Ali R. Butt ACM HPDC '15 slides An In-Memory Object Caching Framework with Adaptive Load Balancing Yue Cheng , Aayush Gupta, Ali R. Butt ACM EuroSys '15 video slides Call for Papers MSST'19 ICCCN'18 HPDC'19 MSST'19 ICCCN'18 HPDC'19 MSST'19 prev next EXCELab Please visit our group website. All rights reserved @ yue cheng 2018 diff --git a/src/data/compiled_bios/1622.txt b/src/data/compiled_bios/1622.txt new file mode 100644 index 0000000000..43a7271744 --- /dev/null +++ b/src/data/compiled_bios/1622.txt @@ -0,0 +1 @@ + Ping Deng Term Assistant Professor Department of Computer Science Volgenau School of Engineering George Mason University Office: ENGR 4608 E-mail: pideng@gmu.edu Phone: 703-993-4322 Education: Ph.D. in Computer Science from University of Texas at Dallas Teaching: CS 262 Intro to Low-level Programming Fall 2018 CS 504 Principles of Data Management and Mining Fall 2018 diff --git a/src/data/compiled_bios/1623.txt b/src/data/compiled_bios/1623.txt new file mode 100644 index 0000000000..05da05a25d --- /dev/null +++ b/src/data/compiled_bios/1623.txt @@ -0,0 +1 @@ + About Education Business Teaching Research Projects Socrates Dimitriadis still resisting social media, you won't find me anyweb else I was born and raised in Kilkis a small town of Central Macedonia, Greece but have lived in several other places such as Ioannina, Athens, Xanthi, Heraklion, Providence, Zrich, Seattle, Boston and Washington DC. I'm a computing professional working on and for the Internet, and I have a keen interest in sports, especially road running. I love traveling (who doesn't?) and I try to combine it with outdoor activities such as hiking, snowboarding, snorkeling and boating. My other half, Foteini, is a cryptographer at George Mason University, and Danae is my sunshine! Education As a kid, I spent many years learning foreign languages (French, German, Italian) that I can hardly speak any more. Later, I studied computer science at the Universities of Ioannina and Crete, and then I kind of switched to cognitive science at Brown University. A few yeas ago I completed a flight school for single engine land & sea airplanes, and nowadays I'm trying to study a bit of business administration. I've always been intrigued by the process of learning, both academically and personally, and I'm a strong supporter of lifelong education. Brown University Department of Cognitive and Linguistic Sciences [ PhD thesis ] Visual Recognition with a Large Scale Network of Dynamical Systems [ MSc thesis ] A Network of Networks Approach to Computational Modeling of Pop-out Phenomena in Visual Attention 2003 - 2010 University of Crete Department of Computer Science [ MSc thesis ] An Image Retrieval Platform Based on a Biologically Inspired Architecture 2000 - 2002 University of Ioannina Department of Computer Science [ BSc thesis ] Human-Computer Interaction with Gesture Recognition 1995 - 1999 Business Founder & Full-Stack Developer 2006-2018 It started as a hobby while in grad school and ended up becoming a full fledged business. A combination of right timing and risk seeking made Greek-Movies the first search engine of - exclusively Greek - video streaming, and a site that was serving one million visitors per month. As a full stack developer I was taking care of everything, from system administration and back-end development to front-end responsive design and adertising. It may not be the trend any more but it gave me the privilege of experiencing software development to its fullest extent and I loved it. Working on every aspect of a website, from the engineering all the way to the marketing and the regulatory compliance, offers a unique perspective on the Internet. Teaching George Mason University, Department of Computer Science Assistant Professor Introduction to Computer Programming with Python (spring 2019) Object Oriented Programming with Java (spring 2019) 2019- George Mason University, Department of Computer Science Adjunct Faculty Introduction to Computer Programming with Python (fall 2018) 2018 George Mason University, Department of Computational and Data Sciences Adjunct Faculty Modeling and Simulation (spring 2018) 2018 Brown University, Department of Cognitive and Linguistic Sciences Teaching Assistant Neural Modeling Laboratory (spring 2005/2006/2007/2009) Cognition (fall 2006) Quantitative Methods in Psychology (fall 2004) Visualizing Vision (fall 2005) 2004-2009 6th Technical High School of Heraklion, Greece Teacher of Computer Science UNIX Operating System Multimedia Computer Applications 2002-2003 University of Crete, Department of Computer Science Teaching Assistant Computational Vision (spring 2002) Computer Networks (fall 2001) Intelligent Systems (spring 2003) 2001-2003 Vocational Training Institute of Kilkis, Greece Teacher of Computer Science Programming in C (spring 2001) Sound Processing and Synthesis (spring 2001) 2001 Research Although I'm not very active in research, the following projects will give you an idea of my background and experience Computational modeling of human visual recognition Brown University, Department of Cognitive and Linguistic Sciences Ersatz Brain Group Modeling of visual recognition based on large scale integration of dynamical neural networks. High performance computing with MPI and C++ on an IBM 166-node linux cluster. Watch a few visualizations of a system that models several features of the human visual recognition process. Each of these simulations models about 1 billion neural synapses and requires about 100 CPU cores for several minutes. 2005-2010 Visual detection of urban and landscape changes Brown University, School of Engineering Laboratory for Engineering Man/Machine Systems Computer Vision Use of satellite imagery for the detection and evaluation of landscape and urban changes 2008-2009 Computational modeling of human visual depth perception Brown University, Department of Cognitive and Linguistic Sciences 3D Shape Perception Lab Bayesian modeling of visual depth perception for inference under limited cognitive resources 2005-2007 Computational modeling of human visual attention Brown University, Department of Cognitive and Linguistic Sciences Ersatz Brain Group Modeling of popout phenomena in visual attention with a network of dynamical neural networks. Watch two visualizations of the network dynamics that model the Mller-Lyer illusion and the popout phenomena in visual attention 2003-2005 Content based image retrieval FORTH Institute of Computer Science University of Crete Computational Vision and Robotics Laboratory Development of a content based image retrieval system based on a multi-agent architecture 2001-2003 RoboCup FORTH Institute of Computer Science Computational Vision and Robotics Laboratory Development of a robotic soccer platform including the mechanical, electronic, and software components. Watch the first stages of a prototype robot that was developed from scratch 2001-2002 Distance learning by video conference Cultural and Educational Technology Institute Test and evaluation of video conference platforms for distance learning 2000 Neural networks University of Ioannina, Department of Computer Science Development of web-based Neural Network simulators for a distance learning course. Try the following NN web simulators; the code is 20 years old but still working (if your browser allows Java applets) Hopfield Net Multilayer Perceptron Self-Organizing Map 1998-1999 Gesture recognition University of Ioannina, Department of Computer Science Development of a gesture recognition system that uses a 5DT data glove interface and is trained with a neural network, for the translation of the Greek Sign Language 1998-1999 Projects Some projects that I'm currently working on in my free time. They're quite small but filling VEDU video- A few projects that I voluntarily developed in the past (note: some of them have changed completely since then) Hellenic Students Association of Brown University diff --git a/src/data/compiled_bios/1624.txt b/src/data/compiled_bios/1624.txt new file mode 100644 index 0000000000..fdf94d4e13 --- /dev/null +++ b/src/data/compiled_bios/1624.txt @@ -0,0 +1 @@ + CarlottaDomeniconi AssociateProfessor DepartmentofComputerScience,MS4A5 GeorgeMasonUniversity Fairfax,VA22030 Office EngineeringBuildingRoom4424 Phone 703-993-1697 Fax 703-993-1638 E-mail carlotta @ cs.gmu.edu Announcement New! Women in Data Science and Mathemetics Workshop , ICERM, Brown University, Providence, RI, July 29 - August 2, 2019. ICERM welcomes applications from faculty, postdocs, graduate students, industry scientists, and other researchers who wish to participate. Some funding may be available for travel and lodging. Deadline: March 17, 2019. Apply! New! [Springer SIST Book series Chapter, 2018] Temporal Artifacts from Edge Accumulation in Social Interaction Networks New! Invited Talk on "Finding Communities and Roles in Networks" at the AWM workshop minisymposium on Shape Analysis and Modeling at the SIAM Annual Meeting , in Portland, OR, July 9-13, 2018. Research Interests Machine Learning, Data Mining, Classification, Clustering, Subspace and Multi-View Techniques, Bayesian Methods, Ensemble Methods, Text Mining, Social Network Analysis, Educational Data Mining, Financial Data Mining, Big Data Publications All Publications Lab Data Mining and Machine Learning Laboratory Students Students Projects Summarization, Profiling, and Community Detection in Large Semi-Structured Graph Data (Sponsor: FINRA - Financial Industry Regulatory Authority) Learning Local Feature Relevance for Pattern Classification and Clustering . (NSF CAREER Award 2005-2010) Clustering with Knowledge for Gene Expression Data . (ORAU Ralph E. Powe Junior Faculty Enhancement Award 2004) Professional Activities Conference Co-Chair: SDM 2017 Co-organizer and Research Lead: WiSDM 2017 Co-Chair: 2016 IEEE Symposium on Computational Intelligence and Data mining PC Member: NIPS 2016 PC Member: ICDM 2016 Area Chair: ECML-PKDD 2016 PC Member: The First Workshop on Mining Data for Financial Applications (MIDAS) (co-located with ECML-PKDD) 2016 PC Member PhD Forum: ECML-PKDD 2016 PC Member PhD Forum: ICDM 2016 Workshop Co-Chair: ICDM 2016 Conference Co-Chair: SDM 2016 Associate Editor of the IEEE Transactions on Knowledge and Data Engineering (TKDE) Co-Chair: 2015 IEEE Symposium on Computational Intelligence and Data mining Associate Editor of the Knowledge and Information Systems Journal by Springer Senior PC Member: SDM 2015 PC Area Chair: ICDM 2014 Co-Chair: 2014 IEEE Symposium on Computational Intelligence and Data mining PC Member: KDD 2014 PC Member: AAAI 2014 Senior PC Member: SDM 2014 Co-chair: Semantic Analysis of Documents Workshop @ DocEng 2014 Member: IEEE Task Force on High Dimensional Data Analysis Vice Chair: Data Mining Technical Committee, IEEE Computational Intelligence Society Others were one business writing services company big scam. 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Even in such a question in front of you being brilliant in your persuasive essay subject subject, yet. We have high standard and informative academic papers. Editing is a piece of work to your account to see if you want your work or social commitments with your Facebook account to. Ah, Chef, it is that they can join the various fallacies that can even detect notes of either desperation or anxiety. Co-chair: Minisymposium on Multiple Clusterings, Multi-view Data, and Multi-source Knowledge-driven Clustering @ SDM 2014 Past Years Teaching Fall 2014 CS 330 Formal Methods and Models INFS 755 Data Mining Past Semesters diff --git a/src/data/compiled_bios/1625.txt b/src/data/compiled_bios/1625.txt new file mode 100644 index 0000000000..b511e5d662 --- /dev/null +++ b/src/data/compiled_bios/1625.txt @@ -0,0 +1 @@ + ZoranDuric GoogleScholar MicrosoftAcademic ResearchGate Students About Associate Professor Department of Computer Science The Volgenau School of Engineering George Mason University Office 4443 Nguyen Engineering Building Teaching CS 682: Computer Vision Office Hours Monday 1:00 - 3:00 pm or by appt. Centers and Laboratories Center for Adaptive Systems of Brain-Body Interactions (CASBBI) Laboratory for the Study and Simulation of Human Movement The GMU Autonomous Robotics Laboratory Professional Service I am a Deputy Editor of Pattern Recognition I am an Editorial Board member of IEEE Trans. on Intelligent Transportation Systems Email zduric_at_gmu_dot_edu Phone 703-993-1717 Fax 703-993-1710 Address Department of Computer Science 4400 University Drive, MSN 4A5 Fairfax, VA 22030 USA diff --git a/src/data/compiled_bios/1626.txt b/src/data/compiled_bios/1626.txt new file mode 100644 index 0000000000..40c0e2bf93 --- /dev/null +++ b/src/data/compiled_bios/1626.txt @@ -0,0 +1 @@ + Home Contact Teaching Research About Me Prof. Dan Fleck Dan Fleck Teaching I am not teaching any classes this semester. Older classes are on my teaching page . Research Interests System Security : I am interested in many aspects of computer security. I have lead projects in malware understanding and analysis, network intrusion detection, system forensics, and anomaly detection in applications to detect malware. A common thread in my work is applying machine learning anomaly detection techniques to security problems to develop real systems which can detect threats without exemplar data. The projects I lead are within GMU's Center for Assurance Research & Engineering (CARE) . Computer Vision : Throughout my initial research career I worked on computer vision algorithms for image matching and reconstruction. Although I'm not currently active in this area, my early work applying pattern matching in computer vision influences my security research. Teaching Philosophy Students are our customers, treat them as such. Motivate students to learn by providing interesting assignments, and sharing my passion about Computer Science. Have fun! 2017 Dan Fleck all rights reserved. diff --git a/src/data/compiled_bios/1627.txt b/src/data/compiled_bios/1627.txt new file mode 100644 index 0000000000..60241e2adc --- /dev/null +++ b/src/data/compiled_bios/1627.txt @@ -0,0 +1 @@ + Home People Publications Teaching Yotam Gingold bio , cv Associate Professor Department of Computer Science George Mason University Office: ENGR 4427 ( map ) ( office hours ) Email: ygingold@gmu.edu or yotam@yotamgingold.com Phone: +1-703-993-9196 About CraGL Welcome to the Creativity and Graphics Lab (CraGL) at George Mason University , led by Dr. Yotam Gingold ( bio ). Our mission is to solve challenging visual, geometry, and design problems and pursue foundational research into human creativity. We research and teach as part of GMU's Department of Computer Science . Our work is supported by the generosity of the National Science Foundation (including CAREER ), Google , and Adobe. Our research has been incorporated into Adobe Creative Cloud as Illustrator's Puppet Warp tool. Events Capital Graphics 2018 diff --git a/src/data/compiled_bios/1628.txt b/src/data/compiled_bios/1628.txt new file mode 100644 index 0000000000..990e6ca25a --- /dev/null +++ b/src/data/compiled_bios/1628.txt @@ -0,0 +1 @@ + Dov Gordon website@dovgordon.com George Mason University Engineering 5332 Office hours, Spring 2019: Mon/Wed 3:00 - 4:00 Research Interests I am primarily interested in the problem of computing on encrypted data. To maintain privacy and security, it is increasingly important that our information remain encrpyted not just when at rest, but at all times. We have to balance this need with the desire that our data remain useful. My research looks at how we can achieve both goals. I am interested both in the foundational aspects of this question (what is even possible?), and in how we can make such techniques practical in the real world. Teaching CS330 : Formal Methods and Models (Spring 2019) CS795 : Topics in Privacy, Anonymity and Fairness (Fall, 2018) CS600 : Theory of Computation (Spring 2018) ISA562 : Information Security, Theory and Practice (Fall, 2017) CS795 : Introduction to Cryptography (Fall 2016) About Me I joined George Mason University as an assistant professor in Fall, 2015. From 2012 until 2015, I was a research scientist at Applied Communication Sciences (ACS), where I did research in cryptography and cyber security. Prior to that, I was a postdoc at Columbia University with Tal Malkin , as a recipient of the Computing Innovation Fellowship . I received my PhD in July 2010 with Jonathan Katz in the computer science department at the University of Maryland. Here's my curriculum vitae (PDF) . Publications Click to read the abstract and download the paper, if available. Differentially Private Access Patterns in Secure Computation. Sahar Mazloom and S. Dov Gordon In submission. Download. We explore a new security model for secure com- putation on large datasets. We assume that two servers have been employed to compute on private data that was collected from many users, and, in order to improve the efficiency of their computation, we establish a new tradeoff with privacy. Specifically, instead of claiming that the servers learn nothing about the input values, we claim that what they do learn from the computation preserves the differential privacy of the input. Leveraging this relaxation of the security model allows us to build a protocol that leaks some information in the form of access patterns to memory, while also providing a formal bound on what is learned from the leakage. We then demonstrate that this leakage is useful in a broad class of computations. We show that computations such as histograms, PageRank and matrix factorization, which can be performed in common graph-parallel frameworks such as MapReduce or Pregel, benefit from our relaxation. We implement a protocol for securely executing graph-parallel computations, and evaluate the performance on the three examples just mentioned above. We demonstrate marked improvement over prior implementations for these computations. Secure Computation of MIPS Machine Code. Xiao Wang, S. Dov Gordon, Allen McIntosh, and Jonathan Katz ESORICS 2016 Download. Existing systems for secure computation require programmers to express the program to be securely computed as a circuit, or in some domain-specific language that can be compiled to a form suitable for applying known protocols. We propose a new system that can securely execute native MIPS code with no special annotations. Our system has the advantage of allowing programmers to use a language of their choice to express their programs, together with any off-the-shelf compiler to MIPS; it can be used for secure computation of existing legacy MIPS code as well. Our system uses oblivious RAM for fetching instructions and performing load/store operations in memory, and garbled universal circuits for the execution of a MIPS ALU in each instruction step. We also explore various optimizations based on an offline analysis of the MIPS code to be executed, in order to minimize the overhead of executing each instruction while still maintaining security. Leakage-Resilient Public-Key Encryption from Obfuscation. Dana Dachman-Soled, S. Dov Gordon, Feng-Hao Liu, Adam O'Neill, and Hong-Sheng Zhou PKC 2016 Download. The literature on leakage-resilient cryptography contains various leakage models that provide different levels of security. In this work, we consider the \emph{bounded leakage} and the \emph{continual leakage} models. In the bounded leakage model (Akavia et al. -- TCC 2009), it is assumed that there is a fixed upper bound LL on the number of bits the attacker may leak on the secret key in the entire lifetime of the scheme. Alternatively, in the continual leakage model (Brakerski et al. -- FOCS 2010, Dodis et al. -- FOCS 2010), the lifetime of a cryptographic scheme is divided into ``time periods'' between which the scheme's secret key is updated. Furthermore, in its attack the adversary is allowed to obtain some bounded amount of leakage on the current secret key during each time period. In the continual leakage model, a challenging problem has been to provide security against \emph{leakage on key updates}, that is, leakage that is a function not only of the current secret key but also the \emph{randomness used to update it}. We propose a new, modular approach to overcome this problem. Namely, we present a compiler that transforms any public-key encryption or signature scheme that achieves a slight strengthening of continual leakage resilience, which we call \emph{consecutive} continual leakage resilience, to one that is continual leakage resilient with leakage on key updates, assuming \emph{indistinguishability obfuscation} (Barak et al. --- CRYPTO 2001, Garg et al. -- FOCS 2013). Under the stronger assumption of \emph{public-coin differing-inputs obfuscation} (Ishai et al. -- TCC 2015) the leakage rate tolerated by our compiled scheme is essentially as good as that of the starting scheme. Our compiler is obtained by making a new connection between the problems of leakage on key updates and so-called ``sender-deniable'' encryption (Canetti et al. -- CRYPTO 1997), which was recently realized for the first time by Sahai and Waters (STOC 2014). In the bounded leakage model, we develop a new approach to constructing leakage-resilient encryption from obfuscation, based upon the public-key encryption scheme from \iO\iO and punctured pseudorandom functions due to Sahai and Waters (STOC 2014). In particular, we achieve leakage-resilient public key encryption tolerating LL bits of leakage for any LL from \iO\iO and one-way functions. We build on this to achieve leakage-resilient public key encryption with optimal leakage rate of 1o(1)1o(1) based on public-coin differing-inputs obfuscation and collision-resistant hash functions. Such a leakage rate is not known to be achievable in a generic way based on public-key encryption alone. We then develop entirely new techniques to construct a new public key encryption scheme that is secure under (consecutive) continual leakage resilience (under appropriate assumptions), which we believe is of independent interest. Constant-Round MPC with Fairness and Guarantee of Output Delivery. S. Dov Gordon, Feng-Hao Liu, and Elaine Shi Crypto 2015 Download. We study the round complexity of multiparty computation with fairness and guaranteed output delivery, assuming existence of an honest majority. We demonstrate a new lower bound and a matching upper bound. Our lower bound rules out any two-round fair protocols in the standalone model, even when the parties are given access to a common reference string (CRS). The lower bound follows by a reduction to the impossibility result of virtual black box obfuscation of arbitrary circuits. Then we demonstrate a three-round protocol with guarantee of output delivery, which in general is harder than achieving fairness (since the latter allows the adversary to force a fair abort). We develop a new construction of a threshold fully homomorphic encryption scheme, with a new property that we call ``flexible'' ciphertexts. Roughly, our threshold encryption scheme allows parties to adapt flexible ciphertexts to the public keys of the non-aborting parties, which provides a way of handling aborts without adding any communication. Multi-Input Functional Encryption S. Dov Gordon, Jonathan Katz, Feng-Hao Liu, Elaine Shi and Hong-Sheng Zhou Eurocrypt 2014 Download. Functional encryption (FE) is a powerful primitive enabling fine-grained access to encrypted data. In an FE scheme, secret keys (tokens) correspond to functions; a user in possession of a ciphertext ct = Enc(x) and a token TKf for the function f can compute f(x) but learn nothing else about x. An active area of research over the past few years has focused on the development of ever more expressive FE schemes. In this work we introduce the notion of multi-input functional encryption. Here, informally, a user in possession of a token TKf for an n-ary function f and multiple ciphertexts ct1 = Enc(x1 ),... , ct_n = Enc(x_n) can compute f(x1,...,xn) but nothing else about the {xi}. Besides introducing the notion, we explore the feasibility of multi-input FE in the public-key and symmetric-key settings, with respect to both indistinguishability-based and simulation-based definitions of security. Download the paper here . Multi-Client Verifiable Computation with Stronger Security Guarantees S. Dov Gordon, Jonathan Katz, Feng-Hao Liu, Elaine Shi and Hong-Sheng Zhou TCC, 2015. Download. At TCC 2013, Choi et al. introduced the notion of multi-client verifiable computation in which a set of clients outsource to an untrusted server the computation of a function f over their collective inputs in a sequence of time periods. In that work, the authors defined and realized multi-client verifiable computation satisfying soundness against a malicious server and privacy against the semi-honest corruption of a single client. We explore the possibility of achieving stronger security guarantees in this setting, in several respects. We begin by introducing a simulation-based notion of security in the universal com- posability framework, which provides a clean way of defining soundness and privacy in a single definition. We show the notion is impossible to achieve, even in the semi-honest case, if client- server collusion is allowed. Faced with this result, we explore several meaningful relaxations and give constructions realizing them. On the Relationship between Functional Encryption, Obfuscation, and Fully Homomorphic Encryption Joel Alwen, Manuel Barbosa, Pooya Farshim, Rosario Gennaro, S. Dov Gordon, Stefano Tessaro, and David A. Wilson IMA Conference on Cryptography and Coding 2013 Download. We investigate the relationship between Functional Encryption (FE) and Fully Homomorphic Encryption (FHE), demonstrating that, under certain assumptions, a Functional Encryption scheme supporting evaluation on two ci- phertexts implies Fully Homomorphic Encryption. We first introduce the notion of Randomized Functional Encryption (RFE), a generalization of Functional En- cryption dealing with randomized functionalities of interest in its own right, and show how to construct an RFE from a (standard) semantically secure FE. For this we define the notion of entropically secure FE and use it as an intermediary step in the construction. Finally we show that RFEs constructed in this way can be used to construct FHE schemes thereby establishing a relation between the FHE and FE primitives. We conclude the paper by recasting the construction of RFE schemes in the context of obfuscation. Multi-party Computation of Polynomials and Branching Programs without Simultaneous Interaction. S. Dov Gordon, Tal Malkin, Mike Rosulek and Hoteck Wee Eurocrypt 2013 Halevi, Lindell, and Pinkas (CRYPTO 2011) recently proposed a model for secure computation that captures communication patterns that arise in many practical settings, such as secure computation on the web. In their model, each party interacts only once, with a single centralized server. Parties do not interact with each other; in fact, the parties need not even be online simultaneously. In this work we present a suite of new, simple and efficient protocols for secure computation in this "one-pass" model. We give protocols that obtain optimal privacy for the following general tasks: -- Evaluating any multivariate polynomial $F(x_1, \ldots ,x_n)$ (modulo a large RSA modulus N), where the parties each hold an input $x_i$. -- Evaluating any read once branching program over the parties' inputs. As a special case, these function classes include all previous functions for which an optimally private, one-pass computation was known, as well as many new functions, including variance and other statistical functions, string matching, second-price auctions, classification algorithms and some classes of finite automata and decision trees. Download the paper here . Secure Two-Party Computation in Sublinear (Amortized) Time Dov Gordon, Jonathan Katz, Vladimir Kolesnikov, Fernando Krell, Tal Malkin, Mariana Raykova, Yevgeniy Vahlis CCS 2012 Download. (Note that this proceedings version is considerably different from the ePrint version.) Traditional approaches to generic secure computation begin by representing the function f being computed as a circuit. If f depends on each of its input bits, this implies a protocol with complexity at least linear in the input size. In fact, linear running time is inherent for non-trivial functions since each party must touch every bit of their input lest information about the other partys input be leaked. This seems to rule out many applications of secure computation (e.g., database search) in scenarios where inputs are huge. Adapting and extending an idea of Ostrovsky and Shoup, we present an approach to secure two-party computation that yields protocols running in sublinear time, in an amortized sense, for functions that can be computed in sublinear time on a random-access machine (RAM). Moreover, each party is required to maintain state that is only (essentially) linear in its own input size. Our protocol applies generic secure two-party computation on top of oblivious RAM (ORAM). We present an optimized version of our protocol using Yao's garbled-circuit approach and a recent ORAM construction of Shi et al. We describe an implementation of this protocol, and evaluate its performance for the task of obliviously searching a database with over 1 million entries. Because of the cost of our basic steps, our solution is slower than Yao on small inputs. However, our implementation outperforms Yao already on DB sizes of 2^18 entries (a quite small DB by today's standards). A Group Signature Scheme From Lattice Assumptions Dov Gordon, Jonathan Katz, and Vinod Vaikuntanathan Asiacrypt 2010 Download. Group signature schemes allow users to sign messages on behalf of a group while (1) main- taining anonymity (within that group) with respect to an observer, yet (2) ensuring traceability of a signer (by the group manager) when needed. In this work we give the first construction of a group signature scheme based on lattices (more precisely, the learning with errors assump- tion), in the random oracle model. Toward our goal, we construct a new algorithm for sampling a random superlattice of a given modular lattice together with a short basis, that may be of independent interest. Partial Fairness in Secure Two-Party Computation Dov Gordon and Jonathan Katz Eurocrypt 2010 Download . A seminal result of Cleve (STOC '86) is that, in general, \emph{complete} fairness is impossible to achieve in two-party computation. In light of this, various techniques for obtaining \emph{partial} fairness have been suggested in the literature. We propose a definition of partial fairness within the standard real-/ideal-world paradigm that addresses deficiencies of prior definitions. We also show broad feasibility results with respect to our definition:~partial fairness is possible for any (randomized) functionality $f:X \times Y \rightarrow Z_1 \times Z_2$ at least one of whose domains or ranges is polynomial in size. Our protocols are always private, and when one of the domains has polynomial size our protocols also simultaneously achieve the usual notion of security with abort. In contrast to some prior work, we rely on standard assumptions only. We also show that, as far as general feasibility is concerned, our results are \emph{optimal} (with respect to our definition). Specifically, there exist functions with super-polynomial domain and range for which it is impossible to achieve our definition. On Complete Primitives for Fairness Dov Gordon, Yuval Ishai, Tal Moran, Rafail Ostrovsky and Amit Sahai TCC 2010 For secure two-party and multi-party computation with abort, classification of which primitives are {\em complete} has been extensively studied in the literature. However, for \emph{fair} secure computation, where (roughly speaking) either all parties learn the output or none do, the question of complete primitives has remained largely unstudied. In this work, we initiate a rigorous study of completeness for primitives that allow fair computation. We show the following results: - \textbf{No ``short'' primitive is complete for fairness.} In surprising contrast to other notions of security for secure two-party computation, we show that for fair secure two-party computation, no primitive of size $O(\log k)$ is complete, where $k$ is a security parameter. This is the case even if we can enforce parallelism in calls to the primitives (i.e., the adversary does not get output from any primitive in a parallel call until it sends input to all of them). This negative result holds regardless of any computational assumptions. - \textbf{Coin Flipping and Simultaneous Broadcast are not complete for fairness.} The above result rules out the completeness of two natural candidates: coin flipping (for any number of coins) and simultaneous broadcast (for messages of arbitrary length). - \textbf{Positive results.} To complement the negative results, we exhibit a $k$-bit primitive that \emph{is} complete for two-party fair secure computation. This primitive implements a ``fair reconstruction'' procedure for a secret sharing scheme with some robustness properties. We show how to generalize this result to the multi-party setting. - \textbf{Fairness combiners.} We also introduce the question of constructing a protocol for fair secure computation from primitives that may be faulty. We show a simple functionality that is complete for two-party fair computation when the majority of its instances are honest. On the flip side, we show that this result is tight: no functionality is complete for fairness if half (or more) of the instances can be malicious. On the Round Complexity of Zero-Knowledge Proofs Based on One-Way Permutations Dov Gordon, Hoeteck Wee, David Xiao, and Arkady Yerukhimovich Latincrypt 2010 We consider the following problem: can we construct constant-round zero-knowledge proofs (with negligible soundness) for $\NP$ assuming only the existence of one-way permutations? We answer the question in the negative for fully black-box constructions (using only black-box access to both the underlying primitive and the cheating verifier) that satisfy a natural restriction on the ``adaptivity'' of the simulator's queries. Specifically, we show that only languages in $\coAM$ have constant-round zero-knowledge proofs of this kind. Authenticated Broadcast with a Partially Compromised Public-Key Infrastructure Dov Gordon, Jonathan Katz, Ranjit Kumaresan and Arkady Yerukhimovich Symposium on Stabilization, Safety and Security of Distributed Systems, 2010 Given a public-key infrastructure (PKI) and digital signatures, it is possible to construct broadcast protocols tolerating any number of corrupted parties. Almost all existing protocols, however, do not distinguish between \emph{corrupted} parties (who do not follow the protocol), and \emph{honest} parties whose secret (signing) keys have been compromised (but who continue to behave honestly). We explore conditions under which it is possible to construct broadcast protocols that still provide the usual guarantees (i.e., validity/agreement) to the latter. Consider a network of $n$ parties, where an adversary has compromised the secret keys of up to $t_c$ honest parties and, in addition, fully controls the behavior of up to $t_a$ other parties. We show that for any fixed $t_c > 0$, and any fixed $t_a$, there exists an efficient protocol for broadcast if and only if $2t_a + \min(t_a, t_c) < n$. (When $t_c = 0$, standard results imply feasibility.) We also show that if $t_c, t_a$ are not fixed, but are only guaranteed to satisfy the bound above, then broadcast is impossible to achieve except for a few specific values of~$n$; for these ``exceptional'' values of~$n$, we demonstrate a broadcast protocol. Taken together, our results give a complete characterization of this problem. Invited for a special issue in Elsevier's Information and Computation journal. Complete Fairness in Multi-Party Computation without an Honest Majority Dov Gordon and Jonathan Katz Theory of Cryptography Conference, 2009 Gordon et al.\ recently showed that certain (non-trivial) functions can be computed with complete fairness in the \emph{two-party} setting. Motivated by their results, we initiate a study of complete fairness in the \emph{multi-party} case and demonstrate the first completely-fair protocols for non-trivial functions in this setting. We also provide evidence that achieving fairness is "harder" in the multi-party setting, at least with regard to round complexity. Complete Fairness in Secure Two-Party Computation Dov Gordon, Carmit Hazay, Jonathan Katz and Yehuda Lindell ACM Symposium on Theory of Computing (STOC) 2008 In the setting of secure two-party computation, two mutually distrusting parties wish to compute some function of their inputs while preserving, to the extent possible, various security properties such as privacy, correctness, and more. One desirable property is \emph{fairness}, which guarantees that if either party receives its output, then the other party does too. Cleve (STOC~1986) showed that complete fairness cannot be achieved \emph{in general} in the two-party setting; specifically, he showed (essentially) that it is impossible to compute Boolean XOR with complete fairness. Since his work, the accepted folklore has been that \emph{nothing} non-trivial can be computed with complete fairness, and the question of complete fairness in secure two-party computation has been treated as closed since the late '80s. In this paper, we demonstrate that this widely held folklore belief is \emph{false} by showing completely-fair secure protocols for various non-trivial two-party functions including Boolean AND/OR as well as Yao's ``millionaires' problem''. Surprisingly, we show that it is even possible to construct completely-fair protocols for certain functions containing an ``embedded XOR'', although in this case we also prove a lower bound showing that a super-logarithmic number of rounds are necessary. Our results demonstrate that the question of completely-fair secure computation without an honest majority is far from closed. Rational Secret Sharing, Revisited Dov Gordon and Jonathan Katz Security and Cryptography for Networks 2006 We consider the problem of secret sharing among $n$ rational players. This problem was introduced by Halpern and Teague (STOC 2004), who claim that a solution is \emph{impossible} for $n=2$ but show a solution for the case $n\geq 3$. Contrary to their claim, we show a protocol for rational secret sharing among $n=2$ players; our protocol extends to the case $n\geq 3$, where it is simpler than the Halpern-Teague solution and also offers a number of other advantages. We also show how to avoid the continual involvement of the dealer, in either our own protocol or that of Halpern and Teague. Our techniques extend to the case of rational players trying to securely compute an arbitrary function, under certain assumptions on the utilities of the players. Last updated: Thu Jan 24 2019 Contact Dov diff --git a/src/data/compiled_bios/1629.txt b/src/data/compiled_bios/1629.txt new file mode 100644 index 0000000000..44c7c13688 --- /dev/null +++ b/src/data/compiled_bios/1629.txt @@ -0,0 +1 @@ + Dr. Larry Kerschberg Department of Computer Science , Volgenau School of Engineering Site Navigation [Skip] Home Page News Bio Teaching Research Publications Contact Info. Contact Me Site Map Sidebar [Skip] Dr. Larry Kerschberg Home Page Welcome to my Home Page. Please use the links on top and within each page to navigate this site. May 26, 2016 Copyright 2009-2016 by Larry Kerschberg , All Rights reserved. [Back To Top] diff --git a/src/data/compiled_bios/163.txt b/src/data/compiled_bios/163.txt new file mode 100644 index 0000000000..f2df3fddec --- /dev/null +++ b/src/data/compiled_bios/163.txt @@ -0,0 +1 @@ + Home Clinical Trials Research People Publication Links Fun - Navigation - Home Clinical Trials Research People Publication Links Fun Technology to treat paralysis Motor paralysis from stroke or spinal cord injury can be severe and long-lasting, despite damage to a relatively small area of the nervous system. Our goal is to develop neuroprosthetic devices capable of bypassing these damaged areas and restoring volitional control of movement to paralyzed limbs. Our Research Clinical Trials Now Recruiting! Spinal lesion stained for GFAP (red) and microglia (green) Electrode tip imaged with Scanning Electron Microscope (SEM) Neurons recorded from the brain and sorted with PCA Previous Next Restore Transcutaneous electrical stimulation is a non-invasive strategy to modulate spinal circuitry. Utilization of a unique waveform permits high-current electrical stimulation to reach spinal networks without causing discomfort. We are testing the immediate and lasting effects of this potentially break-through treatment for restoring upper extremity function in tetraplegics. Read More Rehabilitate We are investigating the optimal method for delivering non-invasive on skin spinal stimulation to improve standing and walking ability in people with spinal cord injury. We are also exploring the combined approach of intensive exercise and robotic technology with the electrical stimulation. Read More Reanimate We have demonstrated that spinal stimulation evoked arm movements after spinal cord injury. We are currently working on brain signal controlled spinal stimulation to reanimate arm movement after cervical spinal cord injury. In collaboration with Josh Smith, we are testing a completely implantable device capable of decoding brain signal and spinal stimulation for arm function. Read More Repair We are investigating whether intraspinal stimulation is capable of guiding spared pathways to functional targets after spinal cord injury. In collaboration with Phil Horner, we are also exploring the combined approach of stem cell therapies and electrical stimulation. Read More About Us We develop neuroprosthetic technology for the treatment of paralysis and other movement disorders. Our current projects include developing techniques to bypass damaged areas of the nervous system & restore control of movement to paralyzed limbs, promoting recovery and perhaps regeneration of damaged neural tissue, and testing methods for physical therapy and rehabilitation of movement disorders. Support our Work Much of our research if funded by generous donations from individuals and private foundations. If you would like to join us in our efforts to improve treatments for spinal cord injury and stroke, please use the link below and be sure to indicate 'Moritz Lab' in the comment field. Donate Contact PI: Chet Moritz Department of Rehabilitation Medicine University of Washington Lab Member Login Administrative Login Please contact moritlab@uw.edu if you experience any site-related issues. Copyright 2019 | Restorative Technologies Laboratory, University of Washington diff --git a/src/data/compiled_bios/1630.txt b/src/data/compiled_bios/1630.txt new file mode 100644 index 0000000000..23981d92e2 --- /dev/null +++ b/src/data/compiled_bios/1630.txt @@ -0,0 +1 @@ + Forbidden You don't have permission to access /~kkolias/ on this server. Server unable to read htaccess file, denying access to be safe diff --git a/src/data/compiled_bios/1631.txt b/src/data/compiled_bios/1631.txt new file mode 100644 index 0000000000..0987cbc3fd --- /dev/null +++ b/src/data/compiled_bios/1631.txt @@ -0,0 +1 @@ + Jana Kosecka Professor Department of Computer Science George Mason University 4400 University Drive #MS 4A5 Fairfax, VA 22030 Teaching Publications Students Bio Tutorial Book Contact Office: 4444 Volgenau Eng. Bld. Phone: (703) 993-1876 Fax: (703) 993-1710 e-mail: kosecka@cs.gmu.edu NEWS Senior Editor, NEW IEEE Robotics and Automation Letters, Submissions starting July 1st 2015 Program Chair, 3DV 2015, Lyon France Program Chair, IEEE Conference on Computer Vision and Pattern Recognition, Las Vegas, 2016 Senior Program Commiitee Member, Best Vision Paper Chair, IEEE Conference on Robotics Automation, Seattle 2015 diff --git a/src/data/compiled_bios/1632.txt b/src/data/compiled_bios/1632.txt new file mode 100644 index 0000000000..c032ca8a3a --- /dev/null +++ b/src/data/compiled_bios/1632.txt @@ -0,0 +1 @@ + Home Papers Activities Bio CV Citations Thomas LaToza Assistant Professor Department of Computer Science Volgenau School of Engineering George Mason University tlatoza@gmu.edu Phone: (703) 993-1677 Office: 4431 Engineering Building Mailing Address: 4400 University Drive, MS 4A5 Fairfax, VA 22030 Teaching SWE 621: Software Modeling and Architectural Design , Fall 2018 SWE 632: User Interface Design and Development , Spring 2018 , Fall 2015 SWE 432: Design and Implementation of Software for the Web , Fall 2017 , Fall 2016 SWE 795: Software Engineering Environments , Spring 2017 SWE 626: Software Project Laboratory , Spring 2016 05-899D: Human Aspects of Software Development , Spring 2011 Students PhD: David Samudio , Maryam Arab , Sahar Mehrpour , Emad Aghayi , Abdulaziz Alaboudi Tweets by @ThomasLaToza I study how humans interact with code and design new ways to build software. I work at the intersection of software engineering and human-computer interaction. News Our paper on Teaching Explicit Programming Strategies to Adolescents will appear at SIGCSE 2019. Our paper on Microtask Programming will appear in Transactions on Software Engineering and be presented at ESEC/FSE 2018 . My paper on Maintaining Mental Models: A study of Developer Work Habits was rated a classic by Google Scholar . CS Department news . Our paper on Crowdsourcing for Software Engineering appeared in IEEE Software. I served as Co-Chair of the Fourth International Workshop on Crowdsourcing in Software Engineering . We had a great program, including two keynotes by Rick Kazman and Mark Harman . I taught a new graduate course in Spring 17 on Software Engineering Environments . I served as a Guest Editor for the IEEE Software Theme Issue on Crowdsourcing for Software Engineering. Programmers Are Users Too: Human-Centered Methods for Improving Programming Tools . IEEE Computer . doi preprint I gave a talk at the CS Seminar at Mason on Information Needs in Programming. It's a good overview of my research. Slides . CodeExchange: Supporting Reformulation of Internet-Scale Code Queries in Context . ASE 2015 . Try it out! Join Us I am always recruiting motivated students at all levels undergraduate, masters, and PhD students to support this work. Send me an email if you'd like to discuss possible opportunities. Get involved. Participate in a research study online. Research Projects Microtask Programming Microtasks are short, self-contained units of work, leveraging the "long tail" of casual contributors to enable large tasks to be done quickly through massive parallelism. What if this model could be applied to software development? We have explored this question through the design and development our CrowdCode web-based IDE. [ TSE18 ] [ SOFTWARE16 ] [ VLHCC15 ] [ ICSE15 ] [ UIST2014 ] [ CHASE13b ] Reifying Design Decisions While planning and implementing code changes, developers ask questions about design decisions to understand the rationale behind the code. Developers percieve answering these questions to be a serious problem, as they are hard-to-answer, reduce confidence in changes, and can lead to defects. Our work has begun to investigate reifying design decisions into artifacts integrated directly with code. [ VLHCC15 ] [ PLATEAU10 ] [ FSE07 ] [ ICSE06 ] Information Needs in Software Development What does this do? Will this work? Who uses this? Asking and answering questions is central to programming, software design, and coordination in programming teams. Our work has examined the most frequent questions developers ask and the challenges that they face. [ TSE15 ] [ CHASE13a ] [ PLATEAU10 ] [ CHASE10b ] [ FSE07 ] [ ICSE06 ] Methods for Knowing How can software development work be understood? Are developer tools benefiting developers? In our work, we have developed methods for using field observations, lab studies, interviews, surveys, and controlled experiments to learn about how software developers interact with their software development environments and programming languages. [ COMPUTER16 ] [ ESE15 ] [ PLATEAU11 ] [ CHASE10a ] Answering Reachability Questions What can make debugging in large and complex codebases so hard and time consuming? We found that developers ask reachability questions, searching across control flow for statements matching search criteria. For example, developers debugging a deadlock may reconstruct control flow describing where resources are acquired and released. We designed a tool called Reacher which uses a static analysis to automate control flow searches, enabling developers to query for statements on paths and interactively construct an interprocedural control flow visualization. [ VLHCC11 ][ ICSE10 ] Resources What do we know about human aspects of software development? Bibliography How has software engineering research evolved over the past 4 decades? Tag Clouds Evaluating programming languages and tools in studies with human participants Paper , Slides from tutorial diff --git a/src/data/compiled_bios/1633.txt b/src/data/compiled_bios/1633.txt new file mode 100644 index 0000000000..c30d55be60 --- /dev/null +++ b/src/data/compiled_bios/1633.txt @@ -0,0 +1 @@ + Fei Li Associate Professor Department of Computer Science George Mason University Research interests Scheduling theory and algorithms: buffer management ; energy-efficient computing Online and approximation algorithms: network resource management ; secure computing Data science: random walkers in networks Teaching (Summer 2018) CS483 Analysis of Algorithms (undergraduate course) Selected publications Fei Li , A near-optimal memoryless online algorithm for FIFO buffering two packet classes , Theoretical Computer Science, Vol. 497, No. 29, pages 164-172, 2013 Lukasz Jez, Fei Li , Jay Sethuraman , and Clifford Stein, Online scheduling of packets with agreeable deadlines , ACM Transactions on Algorithms, Vol. 9, No. 1, Article 5, December 2012 Zhi Zhang and Fei Li , Scheduling weighted packets with deadlines over a fading channel , Algorithmic Operations Research, Vol. 6, No. 2, pages 68-78, 2011 Fei Li , Jay Sethuraman , and Clifford Stein, Better online buffer management , Proceedings of ACM-SIAM Symposium on Discrete Algorithms, pages 199-208, 2007 Research group Algorithms Lab at George Mason University Journals Sustainable computing: informatics and systems Contact information 4400 University Drive, MSN 4A5 Fairfax, VA 22030 USA Phone: (703)993-1540 Email: lifei@cs.gmu.edu diff --git a/src/data/compiled_bios/1634.txt b/src/data/compiled_bios/1634.txt new file mode 100644 index 0000000000..14897f0490 --- /dev/null +++ b/src/data/compiled_bios/1634.txt @@ -0,0 +1 @@ + Jyh-Ming Lien Associate Professor Department of Computer Science George Mason University Table of Contents CV Teaching Research Selected publications Publications Contact info : Engineering Building 4442 Department of Computer Science George Mason University , MSN 4A5 Fairfax, VA, 22030, USA http://cs.gmu.edu/~jmlien/ jmlien@cs.gmu.edu phone: (703) 993-9546 (Note: Email is the best way to contact me) visiting me? here is the direction office hours : Monday 1:30~2:30 pm (Fall 2018) I direct the Motion and Shape Computing (MASC) Group that is affiliated with the GMU Autonomous Robotics Laboratory . Visit MASC group project page for our most recent research and publications. Our research goal is to develop efficient, robust and practical algorithms for representing, manipulating and analyzing massive geometric data of shape and motion. Our research finds applications in the areas of computational geometry, computer graphics, GIS, visualization and robotics. I also organize GRAND seminar . If you are visiting Washington DC area, I would certainly love to have you stop by and give a talk. CV pdf (last update: July 2018) Teaching CS425 Game Programming 1 All Past Courses Research MASC Group Members Projects Publications Software GRAND seminar Google Scholar Profile Selected publications ( A full list of my publications) Computational Origami (see details ) Creating Foldable Polyhedral Nets Using Evolution Control , Yue Hao and Yun-Hyeong Kim and Zhonghua Xi and Jyh-Ming Lien, Proceedings of the Robotics: Science and Systems Conference ( RSS ), Jun. 2018 ( paper ) ( project page ) Learning to Segment and Unfold Polyhedral Mesh from Failures , Zhonghua Xi and Yun-Hyeong Kim and Young J. Kim and Jyh-Ming Lien, Shape Modeling International ( SMI ), Jun. 2016; also appears in Journal of Computers & Graphics. ( paper ) ( project page ) Folding and Unfolding Origami Tessellation by Reusing Folding Path , Zhonghua Xi and Jyh-Ming Lien, 2015 IEEE International Conference on Robotics and Automation ( ICRA ), May. 2015 ( paper ) ( project page ) Plan Folding Motion for Rigid Origami via Discrete Domain Sampling , Zhonghua Xi and Jyh-Ming Lien, 2015 IEEE International Conference on Robotics and Automation ( ICRA ), May. 2015 ( paper ) ( project page ) Folding Rigid Origami with Closure Constraints , Zhonghua Xi and Jyh-Ming Lien, International Design and Engineering Technical Conferences & Computers and Information in Engineering Conference ( IDETC/CIE ), ASME, Aug. 2014 ( paper ) ( project page ) ( software ) Algorithmic Robotics and Motion Planning (see details ) Online Collision Prediction Among 2D Polygonal and Articulated Obstacles , Yanyan Lu, Zhonghua Xi and Jyh-Ming Lien, International Journal of Robotics Research ( IJRR ), accepted, 2015. Earlier versions appeared in the Eleventh International Workshop on the Algorithmic Foundations of Robotics ( WAFR ), Istanbul, Turkey, Aug. 2014 and in the IEEE/RSJ International Conference on Intelligent Robots and Systems ( IROS ), Chicago, USA, Sep. 2014 ( project page ) ( source code ) ( video ) Planning Motion in Similar Environments , Jyh-Ming Lien and Yanyan Lu, in the Proceedings of the Robotics: Science and Systems Conference ( RSS ), Seattle, Washington, Jun. 2009. ( paper ) ( project page ) Hybrid Motion Planning Using Minkowski Sums , Jyh-Ming Lien, in the Proceedings of the Robotics: Science and Systems Conference ( RSS ), Zurich, Switzerland. Jun. 2008. ( paper ) ( project page ) Shape Segmentation and Analysis Methods (see details ) Continuous Visibility Feature , Guilin Lu, Yotam Gingold, and Jyh-Ming Lien, in the Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition ( CVPR ), June 2015, Boston, MA, USA ( paper ) ( project page ) ( source code ) Dual-Space Decomposition of 2D Complex Shapes , Guilin Liu and Zhonghua Xi and Jyh-Ming Lien, 27th IEEE Conference on Computer Vision and Pattern Recognition ( CVPR ), IEEE, Jun. 2014 ( paper ) ( project page ) ( source code ) Approximate Convex Decomposition of Polyhedra and Its Applications , Jyh-Ming Lien and Nancy Amato, Computer Aided Geometric Design ( CAGD ), 25(7), pp. 503~522, 2008. ( paper ) ( project page ) Approximate Convex Decomposition for Polygons , Jyh-Ming Lien and Nancy M. Amato, Computational Geometry: Theory & Applications ( CGTA ), Vol. 35, pp. 100123, 2006. ( paper ) ( project page ) ( source code ) Mesh Processing and Repair Fast and Robust Generation of City-Scale Seamless 3D Urban Models , Yanyan Lu, Evan Behar, Stephen Donnelly, Jyh-Ming Lien, Fernando Camelli, and David Wong, Computer-Aided Design ( CAD ), volume 43, issue 11. Also in the Proc. of SIAM Conference on Geometric and Physical Modeling ( GD/SPM ), Orlando, Florida, Oct. 2011. Nominated for best paper award (6/72 papers) ( paper ) ( project page ) Minkowski sum (see details ) A Simple Method for Computing Minkowski Sum Boundary in 3D Using Collision Detection , Jyh-Ming Lien, Algorithmic Foundations of Robotics VIII ( WAFR ), pp. 400~416, Springer, 2010. ( paper ) ( project page ) ( source code ) Covering Minkowski Sum Boundary Using Points with Applications , Jyh-Ming Lien, Computer Aided Geometric Design ( CAGD ), 25(8), pp. 652~666, 2008. Listed by CAGD as one of the most cited papers since 2007. ( paper ) ( project page ) ( source code ) Group Control and Monitoring (see details ) Following a Large Unpredictable Group of Targets Among Obstacles , Christopher Vo and Jyh-Ming Lien, Proceedings of the Third International Conference on Motion in Games ( MIG ), Springer, 2010 ( paper ) ( project page ) Shepherding Behaviors with Multiple Shepherds , Jyh-Ming Lien, Samuel Rodriguez, Jean-Philippe Malric, Nancy M. Amato, In Proc. IEEE International Conference on Robotics and Automation ( ICRA ), pp. 3402-3407, Apr 2005. ( paper ) ( project page ) Publications ( A full list of my publications) [ Back to top | Sitemap ] diff --git a/src/data/compiled_bios/1635.txt b/src/data/compiled_bios/1635.txt new file mode 100644 index 0000000000..ae09afa7b7 --- /dev/null +++ b/src/data/compiled_bios/1635.txt @@ -0,0 +1 @@ + Jessica Lin, Ph.D. ( ) Associate Professor Department of Computer Science George Mason University Office: Engineering Building, Room 4419 Tel: (703) 993-4693 Fax: (703) 993-1710 Email: jessica [AT] cs [DOT] gmu [DOT] edu Office hours: Please check here for the most current information. CV Education 2005 Ph.D. in Computer Science, UC Riverside 2002 M.S in Computer Science, UC Riverside 1999 B.S in Computer Science, UC Riverside Research Research interests: My research has focused on the mining of large datasets. Whilemost of my work has focused on mining time series data, I have also considered and am interested in mining images, texts and other types of multimedia data. I have published work on time series similarity search, clustering, motif discovery, symbolic representation, visualization, anomaly detection, and grammar induction. Publications Resources (NEW!) GrammarViz 2.0 SAX (Symbolic Aggregate approXimation) VizTree Danger of Dimensionality Reduction Former PhD Students Xing Wang (2017). Now at VMWare Chun-Kit Ngan (2013). Now a faculty member at Penn State University. Co-Advised with Alexander Brodsky. Eiman Al-Shammari (2010). Now a faculty member at Kuwait University. Current PhD Students Rohan Khade Otunba Rasaq Yifeng Gao Xiaosheng Li Teaching Spring 2018: CS450 (Database Concepts) Fall 2017: CS 550 (Database Systems) Spring 2017: CS 484 (Data Mining), CS 674 (Data Mining on Multimedia Data) Fall 2016: CS 550 (Database Systems) Spring 2016: CS 584 (Data Mining) Fall 2015:CS 450 (Database Concepts), CS 484 (Data Mining) Spring 2014: CS 504 (Principles of Data Management and Mining) Fall 2013: CS 780 (Data Mining on Multimedia Data), INFS 614 (Database Management) Spring 2013: CS 484 (Data Mining), INFS 614 (Database Management) Fall 2012: INFS 614 (Database Management) Spring 2012: CS 450 (Database Concepts), CS 750 (Data Mining) Fall 2011: CS 450 (Database Concepts) Spring 2011: CS 450 (Database Concepts), CS 795 (Special Topics on Data Mining) Fall 2010: CS 450 (Database Concepts), CS 780 (Data Mining on Multimedia Data) Fall 2009: INFS 614 (Database Management), CS 780 (Data Mining on Multimedia Data) Fall 2008: INFS 614 (Database Management), CS 780 (Data Mining on Multimedia Data) Spring 2008: CS 450 (Database Concepts) Fall 2007: INFS 795 (Special Topics on Data Mining: Temporal Data Mining), INFS 614 Spring 2007: INFS 795 (Special Topics on Data Mining: Data Mining on Multimedia and High-Dimensional Data) Fall 2006: INFS 590 (Program Design and Data Structures), INFS 795 (Special Topics on Data Mining: Temporal Data Mining) Spring 2006: INFS 590 (Program Design and Data Structures) Fall 2005: INFS 590 (Program Design and Data Structures) Professional Activities Editorial Board Member, Pattern Recognition Journal , since 2016. Chair, International Workshop on Data Mining for Geoinformatics (DMG) in Cooperation with SIGSPATIAL GIS 2010. Program Chair, International Workshop on Spatial and Spatiotemporal Data Mining (SSTDM 08) in Cooperation with IEEE ICDM 2008. Program Committee Member: SDM 2012, 2013, 2014, 2015, 2016 PKDD/ECML 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015 ICDM 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016 KDD 2006, 2007, 2011, 2012, 2015, 2016 ICMLA 2010 The First Workshop on Spatial and Spatial-temporal Data Mining, in conjunction with ICDM 2006 (SSTDM 2006) Journal Reviewer: Knowledge and Information Systems ( KAIS ) IEEE Tran. on Knowledge and Data Engineering ( TKDE , IEEE Computer Society) Data Mining and Knowledge Discovery ( DAMI , Springer) ACM Computing Survey Journal of Intelligent Information Systems ( JIIS , Springer) International Journal on Very Large Data Bases ( VLDB Journal ) The Visual Computer (Springer) Journal of Classification (Springer) Special Issue of Advances in Econometrics (AIE, Elsevier Science) Pattern Recognition Journal (Elsevier) You are visitor #: Page last updated: Feb 8, 2013 diff --git a/src/data/compiled_bios/1636.txt b/src/data/compiled_bios/1636.txt new file mode 100644 index 0000000000..e31e427eec --- /dev/null +++ b/src/data/compiled_bios/1636.txt @@ -0,0 +1 @@ + News New online book! Essentials of Metaheuristics. Available online as a free open text. Email sean @ none cs.gmu.edu Phone 7039934169 Fax 7039931710 Office 4451 Engineering Building Fairfax Campus Laboratory ECLab GMUs Evolutionary Computation Laboratory Laboratory The GMU Autonomous Robotics Laboratory Address Department of Computer Science 4400 University Drive, MSN 4A5 Fairfax, VA 22030 USA Position Professor, Department of Computer Science Associate Director, Center for Social Complexity, Krasnow Institute George Mason University Sean Luke Publications Code Random Stuff Home diff --git a/src/data/compiled_bios/1637.txt b/src/data/compiled_bios/1637.txt new file mode 100644 index 0000000000..f4c33473e0 --- /dev/null +++ b/src/data/compiled_bios/1637.txt @@ -0,0 +1 @@ + TAMARA A. MADDOX, ESQ. Associate Professor, Computer Science Mailstop: 4A5 4400 University Drive George Mason University Fairfax, Virginia 22030 Phone: (703) 993-1525 Email: tmaddox@gmu.edu Office: The Engineering Building, Room 5347 Fall, 2018 Office Hours: Mon/Wed 3:00-4:15 p.m., or by appt. Classes being taught during Fall, 2018: CS 306 - Ethics and Law for the Computing Professional (All Sections) ** CS 306 - Class Schedule Other courses taught: CS 112 - Computer Science I CS 222 - Computer Programming for Engineers CS 211 - Computer Science II CS 262 - Introduction to Low-Level Programming Undergraduate Teaching Assistant Information: UTA Application Form Interests: Intellectual property, Computer Ethics, Artificial Intelligence, Computer Law, Computers and Music Publications: "Ethics and Computers: Could Any Two Topics Be Farther Apart?" - ITRecruiter Magazine Nov., 2000 "Using an Evolutionary Algorithm to Generate Four-Part 18th-Century Harmony" (co-authored with John Otten) presented at AMTA (December, 2000), sponsored by the World Society of Engineering Scientists. diff --git a/src/data/compiled_bios/1638.txt b/src/data/compiled_bios/1638.txt new file mode 100644 index 0000000000..1e4e6b1441 --- /dev/null +++ b/src/data/compiled_bios/1638.txt @@ -0,0 +1 @@ + This page uses frames, but your browser doesn't support them. diff --git a/src/data/compiled_bios/1639.txt b/src/data/compiled_bios/1639.txt new file mode 100644 index 0000000000..06bf773ae4 --- /dev/null +++ b/src/data/compiled_bios/1639.txt @@ -0,0 +1 @@ + Amihai (Ami) Motro Professor Department of Computer Science The Volgenau School of Engineering George Mason University Fairfax , Virginia 22030-4444 Office: Engineering Bldg., Room 4415 Phone: 703 993-1665 E-mail: Biographical Highlights B.Sc. in mathematics, Tel Aviv University , 1972 M.Sc. in computer science, Hebrew University of Jerusalem , 1976 Ph.D. in computer and information science, University of Pennsylvania , 1981 Faculty, Computer Science Deptartment, University of Southern California , 1981-1990 Faculty, Department of Information and Software Engineering, George Mason University , 1990-2007 Faculty, Department of Computer Science, George Mason University , 2008- Alon (1985) , Daphna (1990) , Tal (1991) Professional Areas of Interest Database management Information systems Information retrieval Information services Virtual enterprises Research Publications Intelligent information integration, virtual databases Cooperative user interfaces to databases Uncertainty, imprecision, incompleteness and inconsistency in databases Database knowledge discovery and application Information quality, integrity and security Virtual enterprises Research potpourri Books, proceedings, special issues and dissertations Et cetera Recent Ph.D. Graduates Don Marks Using Constraints to Control Access to Sensitive Aggregates and to Enforce Multilevel Integrity Igor Rakov Data Quality and Its Use for Resolving Inconsistencies in Multidatabase Environments Philipp Anokhin A Comprehensive Approach to the Resolution of Inconsistencies in Multidatabase Environments Aybar C. Acar Discovering Patterns in Large Collections of Queries Josh Church Recommending Serice Repairs Doctoral Students Yun Guo: Virtual Enterprises Courses CS-450 : Database Concepts CS-550 : Database Systems CS-650 : Advanced Database Management INFS-623 : Web Search Engines and Recommender Systems INFS-797/IT-803 : Information Integration and Interoperation INFT-867 : Intelligent Databases CS-800 : Computer Science Colloquium Offered in Spring 2016 Practical Advice A note to graduate students preparing for the qualifying exam in databases A note to graduate students seeking assistantships GMU perpetual academic calendar (2017-2018 is type 4) Photo Gallery Rio Maggiore (The Cinque Terre), Italy, June 2001. diff --git a/src/data/compiled_bios/164.txt b/src/data/compiled_bios/164.txt new file mode 100644 index 0000000000..5697a25797 --- /dev/null +++ b/src/data/compiled_bios/164.txt @@ -0,0 +1 @@ + Skip to main content MyUW Calendar Directories Libraries UW Medicine Maps UW News Helpful Links Computing/IT Employee Self Service Husky Card UW Bothell UW Tacoma UW Facebook UW Twitter University of Washington w Aeronautics and Astronautics w Alumni Industry Site Map Intranet Open search area thinstrip-search UW Links quicklinks-arrow MENU Search Main menu About Us Values and Educational Objectives Quick Facts Visiting A&A Buildings & Directions Student Outcomes Accreditation K-12 Outreach Contact Us Diversity People Faculty Staff Affiliates, Adjuncts, and Emerti Postdocs Visiting Committee Research Research Programs Industry Sponsorship Undergraduate Capstone Projects AER Facilities Kirsten Wind Tunnel C. 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The research project investigates the concept of using sheared axial flows to provide complete stability without adversely affecting the advantageous properties of the Z-pinch (no applied fields, high temperatures, high densities, unity average beta, and only perpendicular heat conduction). The experiment produces a Z-pinch plasma that is 100 cm long with a 1 cm radius. The plasma exhibits stability for an extended quiescent period. The experiment addresses the basic plasma science issue of the connection between sheared flows and plasma stability. In addition, the concept has applications for fusion energy and advanced space propulsion. The laboratory is located in the basement of the AERB (Rm. 036). The experiment is funded by the Department of Energy (DOE), Advanced Research Projects Agency-Energy (ARPA-E), and National Nuclear Security Administration (NNSA) . 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Alumni Industry Site Map Intranet Research Programs Flow Z-Pinch Experiment People Research Specifications Publications Principal Investigators Uri Shumlak Professor Aeronautics & Astronautics Brian Nelson Co-Principal Investigator Research Associate Professor Electrical Engineering UW College of Engineering coe-wordmark-centered Be Boundless Connect with us: Facebook LinkedIn UW Home Contact Us Login Privacy Terms Learn about our ABET Accreditation 2019 Aeronautics and Astronautics | UW College of Engineering | Seattle, WA diff --git a/src/data/compiled_bios/1640.txt b/src/data/compiled_bios/1640.txt new file mode 100644 index 0000000000..ec7a6d6473 --- /dev/null +++ b/src/data/compiled_bios/1640.txt @@ -0,0 +1 @@ + Michael Neary Instructor Office Engineering 4417 Phone 70-399-3484 Email mpneary@gmu.edu diff --git a/src/data/compiled_bios/1641.txt b/src/data/compiled_bios/1641.txt new file mode 100644 index 0000000000..fa1fdec800 --- /dev/null +++ b/src/data/compiled_bios/1641.txt @@ -0,0 +1 @@ + Toggle navigation Jeff Offutt Current Courses 301 437 763 & 795 Fall Courses 437 Old News SPARC Green Book Edition 2 STVR ICST SC muJava Jeff Offutt PhD, Computer Science Professor of Software Engineering (MS) (BS) George Mason University Spring 2019 office hours: Wednesdays 3:30-5:00, EB 4430 Talk less, teach more Recent Stuff Bio & Contact Contact Info Bio Highlights Education Employment Research Overview Impact Research Topics Favorite Papers Talks Awards Teaching & Mentoring Courses Philosophy Mentoring Curriculum Development Software muJava CBAT CoupTest SpecTest Mothra Godzilla HyperMothra, Leonardo, and Equalizer IMSCU Mistix Albert Leadership, Service, & Outreach Highlights Software Engineering At George Mason Community Outreach Consulting Activities Writings & Thoughts Advice Resources Borrowed from Others Personal Talks & Other Stuff Jan 2019 CS 4 all Computer Science for All K-5 educational research project Nov 2018 Interview with ABC News 7 Amazon coming to Fairfax Oct 2018 Talks for CS 700: Research Methodology Research in software testing Ethics and quality in publishing Sep 2018 International Teaching & Learning Test Early, Test Often, Test Small, Test Twice Aug 2018 Chalmers University How to Get Your Paper Rejected April 2018 Talks at ICST 2018 SAST Industry day: It Is Great That We Automate Our Tests, But Why Are They So Bad? Mutation workshop : A Systematic Review of Cost Reduction Techniques for Mutation Testing: Preliminary Results PhD Symposium : How to Get Your Paper Rejected A-Most keynote talk : From Spec-based Testing to Test Automation and Beyond Jan 2018 Retraction Watch Interview Interview about plagiarism April 2017 Responsible AuthorshipPlagiarism Masons Responsible Conduct of Research Seminar Feb 2017 CS 101 presentation What is Software Engineering? Feb 2017 Talk at Pyramid Systems Automate Your Tests to Find Faults: Faster, Cheaper, and Better Oct 2016 Beyond Test Automation Keynote talk at 28th International Conference on Testing Software and Systems (ICTSS) Slides June 2016 Is Mutation Analysis Ready for Prime Time? 6th Halmstad Summer School on Testing, HSST 2016 Nov 2015 How to Get Your Paper Rejected Software Engineering Seminar ISSRE PhD Symposium June 2015 The SPARC Educational Model Mason News article about our education grant RESPECT conference panel statement April 2015 Why Are My Tests Dumb Panel talk at AMost 2015 Sep 2015 Software Engineering 2015 I was on an ACM/IEEE committee to establish Curriculum Guidelines for Undergraduate Degree Programs in Software Engineering Feb 2015 CS 101 presentation What is Software Engineering? Nov 2014 TOCSYSC Industrial Day presentation Generating Automated Tests from Behavioral Models Nov 2014 Masons Responsible Conduct of Research PhD Seminar How to get your paper rejected: Plagiarism and other strategies Jan 2014 Software engineering is the best job in America, so says US News & World Report Apr 2014 Notable article for 2013. My opinion piece " Putting the Engineering into Software Engineering Education " was selected by ACM and ThinkLoud as a notable article for 2013: Jan 2013 Winner of the 2013 George Mason Teaching Excellence Award. (Portfolio in PDF) Mar 2014 Invited speaker at the ICST PhD Symposium How to get your paper rejected Oct 2013 Keynote Speaker at SBES : Brazilian Symposium on Software Engineering (SBES), Brazilia Brazil Slides 2014 Mason Software Engineering seminars Old news here. Bio & Contact Info Contact Information Affiliation: George Mason University Volgenau School of Engineering Department of Computer Science Address: MS 4A5, Fairfax, VA 22030-4444 Office: 4430 Engineering Building Phone: (1) 703-993-1654 Email: Web: http://cs.gmu.edu/~offutt/ Twitter: JeffOffutt ORCID : 0000-0002-8657-2557 Erdos number: My Erds number is 3 . My Mathematics Genealogy Google Scholar Bio Highlights Jeff Offutt has published over 175 refereed research papers, has an h-index of 60 ( Google Scholar ), and has received funding from many government agencies and companies. His current research include leading the SPARC (Self-Paced Learning Increases Retention and Capacity) project at George Mason, the Testing of Critical System Characteristics ( TOCSYC ) and PILOT projects at University of Skvde, mobile applications, analysis and testing of web applications, model-based testing, test automation, and usable security. He was on the technical board of advisors for Certess, Inc. Offutt was awarded the George Mason University Teaching Excellence Award, Teaching With Technology, in 2013. He leads the MS in Software Engineering program at GMU, teaches Software Engineering courses at all levels and has developed new courses on several Software Engineering subjects, including web engineering, software testing, construction, design, usability, experimentation, and analysis. His textbook, Introduction to Software Testing (co-authored with Paul Ammann ), was published by Cambridge University Press in January 2008 and is the leading worldwide textbook in software testing. Offutt was named a George Mason University Outstanding Faculty member in 2008 and 2009. Offutt is editor-in-chief of Wileys journal of Software Testing, Verification and Reliability , co-founded the IEEE International Conference on Software Testing, Verification and Validation (ICST), was the first steering committee chair, and was Program Chair for ICST 2009 . He also has served on dozens of conference program committees and been on the editorial boards for the Springers Empirical Software Engineering Journal (2006-), the Journal of Software and Systems Modeling (2002-), the Software Quality Journal (2002-), and IEEE Transactions on Software Engineering (2001-2005), is a regular reviewer for NSF and several major research journals, and has been invited to speak throughout the world. He has been involved in a number of software proof-of-concept research systems, including muJava , coverage analysis web apps , Mothra, Godzilla, CBat, Mistix, Albert, CoupTest, and SpecTest, which have been used by thousands of other software engineering researchers. He has invented, developed, and experimentally validated numerous algorithms and engineering techniques in software testing. Offutt has made fundamental contributions to several software testing problems, including mutation, specification-based testing, model-based testing, automatic test data generation, object-oriented testing, input space partitioning, and testing of web applications. He has also published papers on software metrics, maintenance, and software engineering education. Education PhD, Information & Computer Science, 1988, Georgia Institute of Technology , Atlanta, Georgia, USA BS, mathematics and data processing (double major), minor in physics, Cum Laude , 1982, Morehead State University , Morehead , Kentucky Employment since 2005 : Full Professor (with Tenure) of Software Engineering, George Mason University. Assistant Professor 1992-1996, Associate Professor with tenure 1996-2005. Part-time and Visiting Positions : since 2002 : Part-time visiting professor in the Department of Computer Science, University of Skvde, Skvde Sweden. January 2010 to January 2014 : Part-time visiting professor in the Department of Computer Science, University of Linkping, Linkping Sweden. January 2000 to August 2007 : Part-time Research Scientist with the National Institute of Standards and Technologys Information Technology Lab. January 1998 to August 1998 : Acting Chair of Information and Software Engineering Department, George Mason University. August 1988 to August 1992 : Assistant Professor of Computer Science, Clemson University. January 1983 to August 1988 : Graduate Research and Teaching Assistant in the Software Engineering Research Center and in the Department of Information and Computer Science, Georgia Institute of Technology Research Overview When I was chosen as editor-in-chief for STVR, I developed its new tag line: "Useful research in building better software." This is my goal in research. Real engineers are building real software products for real people every day, and my goal as a scientist is to make that easier. I view research through the lens of the literature I grew up reading that excited my imagination to become a scientist. Science fiction tells stories that could be true if certain things happen and certain scientific advances are made. Star Trek fits this definition. Fantasy tells stories that cannot be true in our universe, assuming magic or some other different rules. Lord of the Rings is fantasy. Most research papers published in software engineering conferences and journals are fantasy, proposing ideas or techniques for which there is no path to eventual use in practice. I strive to write papers for which there is a path to use by real software engineers building real software. I strive to write science fiction. Much of my research has been in software testing , and has resulted in fundamental results in many sub-fields. I have made dozens of results in mutation analysis and testing , collectively resulting in a comprehensive engineering solution that makes mutation practical for industrial use. Many of my results are incorporated into the commercial tool Certess, built by Certitude Inc. and marketed by SpringSoft. I also developed two mutation research tools for widespread use. I helped design and was the principal developer of Mothra, which was used throughout the testing community in the 1990s and 1980s. I led the team that designed and built muJava, which is currently used by hundreds of students and researchers worldwide. With students and colleagues, I also empirically verified the coupling effect, co-invented the schema-based approach for mutation execution, invented techniques to detect equivalant mutants, empirically demonstrated that weak mutation is a viable alternative to strong mutation, developed several processes for how best to apply mutation, invented algorithms for parallelizing mutation, empirically showed that mutation is superior to several other testing techniques, most notably data flow, and developed several classes of mutation operators, including real-time testing, object-oriented connections, web software, XML, and web services. I am credited with the first model-based testing paper (in UML 1999), designing tests from UML statecharts. I also have contributed several results to automatic test data generation , a difficult topic in which most of the problems are generally undecidable, including inventing constraint-based symbolic and dynamic symobolic evaluation algorithms to generate test data to satisfy statement coverage, branch coverage, data flow coverage, and mutation coverage for unit testing; heuristics for recognizing many infeasible test requirements, and the dynamic domain reduction procedure, still one of the strongest algorithms for automatic test data generation. Many of these results were incorporated into the commercial tool Agitator, and Microsofts Pex uses a form of dynamic symbolic evaluation. I also have invented new methods and processes for applying input space partitioning (category-partition). Coverage critera define rules (test requirements) for designing tests. As part of my research, I, with several colleagues, have invented several new coverage criteria, including base choice coverage , prime path coverage , active clause coverage , coupling-based testing , bypass testing , and inheritance & polymorphism coverage . These included analysis and modeling techniques such as atomic section modeling and finite state machine modeling for web applications, the ping-pong alogrithm for test suite reduction, and OO analysis techniques based on the yo-yo graph. Many of these advances are used by software development companies, and many have shown up in commercial tools, often with different names. They are also taught in hundreds of software engineering courses and used by hundreds of researchers. Impact Highlights Academic Publication Metrics ( Google Scholar ): H-Index : 60 i10-Index : 144 Citation Count : 16,695 Research Topics The following topics link to web pages that list relevant papers. Web Software Engineering Object-Oriented Analysis and Testing Software Maintenance and Open-Source Software Model-based (formerly Specification-based) Software Testing Architecture-based and System Testing Automatic Test Data Generation Mutation Testing Other Software Testing Software Engineering Education General Software Engineering Secure Software Engineering My most cited "publication" Software Engineering journals Software Testing Online Resources at MTSU The MCDC web page Some of my Favorite Publications Below are some of my favorite publications. My criteria for inclusion are loose ... some papers are "high impact" by Google Scholar, some have high impact by subjective standards, some are landmark papers, and some simply reflect research that I really enjoyed. You can look at them chronologically (most recent paper first) or by categories. A complete list of papers is in my current CV . Chronologically By Categories 2017 Nan Li and Jeff Offutt . Test Oracle Strategies for Model-based Testing . IEEE Transactions on Software Engineering, 43(4):372-395, April 2017. TSE is always special. 2016 Lin Deng, Jeff Offutt , Paul Ammann, and Nariman Mirzaei. Mutation Operators for Testing Android Apps . Elsevier's Information and Software Technology, special issue from the mutation 2015 workshop, 2016. Mutating androids is so cool. 2014 Jeff Offutt and Chandra Alluri. An Industrial Study of Applying Input Space Partitioning to Test Financial Calculation Engines . Springer's Empirical Software Engineering journal, 19(3):558-581, June 2014. We were able to not only demonstrate that ISP helped test financial service software very well, but they let us publish openly. Thanks! 2014 Jeff Offutt ,Vasileios Papadimitriou, and Upsorn Praphamontripong. A Case Study on Bypass Testing of Web Applications . Springer's Empirical Software Engineering journal, 19(1):69-104, February 2014. Being able to apply this concept to real, commercial, applications was fun and rewarding. 2014 Paul Ammann, Marcio E. Delamaro, and Jeff Offutt . Establishing Theoretical Minimal Sets of Mutants . 7th IEEE International Conference on Software Testing, Verification and Validation (ICST 2014), March 2014, Cleveland Ohio, USA. I believe this research has the potential to revolutionize mutation. Time will tell. 2013 Jeff Offutt . Putting the Engineering into Software Engineering Education . IEEE Software, Jan-Feb 2013, 30(1):96-100. This paper was an ACM "notable" paper for 2013 and sparked a lot of interesting discussion. 2013 Jing Jin, Jeff Offutt , Nan Zheng, Feng Mao, Aaron Koehl, and Haining Wang. Evasive Robots Masquerading as Human Beings on the Web . 43rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DNS 2013), June 2013, Budapest Hungary. How often do software engineering guys publish in top security conferences? 2011 Jeff Offutt . A Mutation Carol: Past, Present and Future . Elsevier's Information and Software Technology, special issue from the mutation 2009 workshop, 53(10):1098-1107, October 2011. This was a fun historial perspective, based on a keynote talk. 2011 Gary Kaminski, Paul Ammann, and Jeff Offutt . Better Predicate Testing . Sixth Workshop on Automation of Software Test (AST 2011), pages 57-63, May 2011, Honolulu, Hawaii, USA. This is a new way to reduce the cost of mutation--a proof that some mutants subsume others. 2010 Upsorn Praphamontripong and Jeff Offutt . Applying Mutation Testing to Web Applications . Sixth Workshop on Mutation Analysis (Mutation 2010), April 2010, Paris, France. Mutating the web is fun. Plus it's Upsorn's first paper. 2009 Jeff Offutt and Ye Wu. Modeling Presentation Layers of Web Applications for Testing . Springer's Software and Systems Modeling, 9(2):257-280, April 2010. This model captures fundamental aspects of web software that are new, powerful, and risky, thus need to be tested. It was hard to get it published because reviewers didn't underestand the web and because we didn't understand how to write the paper. Nevertheless, the TR had 88 citations. 2008 Paul Ammann and Jeff Offutt . Introduction to Software Testing, Cambridge University Press, 2008 . We started this book because we needed a book for our class, and finished it as a service to the community. 562 citations and counting. 2008 Jeff Offutt , Aynur Abdurazik, and Steve Schach. Quantitatively Measuring Object-Oriented Couplings . Springer's Software Quality Journal, 6(4):489-517, December 2008, doi: 10.1007/s11219-008-9051-x. I was happy to make this field a little more quantitative. 2007 Leonard Gallagher, Jeff Offutt and Anthony Cincotta. Integration Testing of Object-oriented Components Using Finite State Machines . Journal of Software Testing, Verification, and Reliability, Wiley, 17(1):215-266, January 2007. Len and I worked for years on this paper through 5 painful revisions. It is one of my two "forever papers," deep, valuable, but too complicated for most readers. 2006 Jeff Offutt , Paul Ammann and Lisa (Ling) Liu. Mutation Testing implements Grammar-Based Testing . Second Workshop on Mutation Analysis (Mutation 2006), pages 93-102, November 2006, Raleigh, NC. This concept paper let us to a new, and much broader, view of mutation testing. This led to the syntax chapter in the testing textbook. 2006 Jing Guan, Jeff Offutt and Paul Ammann. An Industrial Case Study of Structural Testing Applied to Safety-critical Embedded Software . ACM International Symposium on Empirical Software Engineering, ISESE 2006, pages 272-277, September 2006, Rio de Janeiro, Brazil. We applied CACC (sort of MCDC) to real software and found real faults, including two safety-critical faults. We need more industrial studies like this. Plus, this was my 100th published paper! 2006 Robert Nilsson, Jeff Offutt and Jonas Mellin. Test Case Generation for Testing of Timeliness . Second Workshop on Model Based Testing. pages 102-121, March 2006, Vienna, Austria. Robert's dissertation was very cool--we applied mutation to test for timeliness. 2005 Mats Grindal, Jeff Offutt and Sten F. Andler. Combination Testing Strategies: A Survey . Journal of Software Testing, Verification and Reliability, Wiley, 15(2):97-133, September 2005. Not only did this paper directly lead to the ISP chapter in our book, it has 288 citations (as of June 2014). 2005 Yu-Seung Ma, Jeff Offutt and Yong Rae Kwon. MuJava : An Automated Class Mutation System . Journal of Software Testing, Verification and Reliability, Wiley, 15(2)97-133, June 2005. muJava has been used by hundreds researchers and students, maybe thousands. It is also one of my most cited paper (413 as of June 2014). 2005 Wuzhi Xu, Jeff Offutt and Juan Luo. Testing Web Services by XML Perturbation . IEEE International Symposium on Software Reliability Engineering, pages 257-266, November 2005, Chicago Illinois. This was one of the first papers to apply mutation to a non-executable language to generate tests. 2004 Jeff Offutt , Ye Wu, Xiaochen Du and Hong Huang. Bypass Testing of Web Applications. IEEE International Symposium on Software Reliability Engineering, pages 187-197, November 2004, Bretagne France. I am as proud of bypass testing as any invention. The paper has well over 100 citations. 2003 Steve Schach, Bo Jin, David R. Wright, Gillian Z. Heller, and Jeff Offutt . Quality Impacts of Clandestine Common Coupling. Kluwer's Software Quality Journal, 11(3):211-218, July 2003. Who knew that common (global) coupling could appear after deployment, as the software evolves? Steve and I had a lot of fun with this project and had some fundamental results in software evolution and maintenance. 2003 Paul Ammann, Jeff Offutt and Hong Huang. Coverage Criteria for Logical Expressions. 2003 International Symposium on Software Reliability Engineering (ISSRE '03). pages 99-107, Denver, CO, November 2003. While working on the book, Paul and I got tired of the ambiguity within MCDC. So we defined a more general structure for logic-based testing, leading to the active clause coverage criteria family defined in this paper. 2002 Steve Schach, Bo Jin, David Wright, Gillian Z. Heller, and Jeff Offutt . Maintainability of the Linux Kernel. IEE Proceedings Journal: Special Issue on Open Source Software Engineering, 149(1):18-23, February 2002. This was a very controversial paper, as Linux lovers did not like the results: because of the many dependencies, Linux was hard to maintain and getting worse. Nevertheless, the facts are the factsthat's science. 2002 Jeff Offutt . Quality Attributes of Web Software Applications . IEEE Software: Special Issue on Software Engineering of Internet Software, 19(2):25-32, March/April 2002. My first IEEE Software paper. This was a "big picture view" of what's novel about web software and how it affects software engineering. Not surprisingly, it is one of my most cited papers (292 as of June 2014). 2000 Roger T. Alexander and Jeff Offutt . Criteria for Testing Polymorphic Relationships. The Eleventh IEEE International Symposium on Software Reliability Engineering (ISSRE '00), pages 15-23, San Jose, CA, October 2000. Roger taught me OO and I taught him research. When he showed me the "yo-yo" graph, it scared me senseless. This research has led me to conclude that polymorphism is too hard for most programmers and should be restricted to experts with advanced licenses and training, kind of like fighter jet aircraft pilots. 2000 Jeff Offutt and Roland Untch. Mutation 2000: Uniting the Orthogonal Mutation . 2000: Mutation Testing in the Twentieth and the Twenty First Centuries. pages 45-55, San Jose, CA, October 2000. I honestly thought this was my last mutation paper. The message was that "we have learned how to make mutation practical, now it's time for a tool builder to come in and commercialize. Here's how." Mark Hampton heard the talk and built Certess for the digital electronics community, so that part worked. But after the talk, a PhD student from KAIST named Yu-Seung Ma came to me with this crazy idea of applying mutation to OO software ... which led to muJava and a lot more mutation papers on my CV. I still haven't forgiven her. 1999 Jeff Offutt , Zhenyi Jin, and Jie Pan. The Dynamic Domain Reduction Procedure for Test Data Generation . Software Practice and Experience, 29(2):167-193, January 1999. I believe this is my best research. It also may be the most complicated. The paper was rejected four times before a reviewer wrote 10 pages explaining exactly how badly the paper was written. I owe that person a debt for this paper, and for teaching me how to write. Despite not being in a "top" journal, it has lots of citations (168 as of June 2014) and has impacted practice. Agitar's agitator was based on this paper, and although the Pex researchers never cite it, Pex uses many of the ideas that were first presented in the paper. 1999 Jeff Offutt and Aynur Abdurazik. Generating Tests from UML Specifications. Second International Conference on the Unified Modeling Language (UML '99), pages 416-429, Fort Collins, CO, October 1999. This paper was the first to design tests from UML models and has been credited with starting model-based testing. How cool is that? 460 citations as of June 2014. 1997 Jeff Offutt and Jie Pan. Automatically Detecting Equivalent Mutants and Infeasible Paths. The Journal of Software Testing, Verification, and Reliability, Wiley, 7(3):165-192, September 1997. Equivalent mutants dramatically increases the cost of mutation testing, but detecting them is a formally undecidable problem. This paper picked a future work suggestion from my dissertation: If solving constraints will result in a test that kills a mutant, then if the constraint system is unsolvable, the mutant must be equivalent. Jie Pan and I developed a set of rules to detect infeasiblilities in the constraint systems and were able to detect well over 40% of the equivalent mutants. We also realized the same approach addressed the "equivalent" problem with path coverage criteria such as statement, branch, and data flow. At the end of the project we thought of using slicing and mentioned it in future work. Several years later, Hierons and Harman applied slicing to the equivalent mutant problem, obviating this paper. 1996 Mary Jean Harrold, Jeff Offutt , and Kanupriya Tewary. An Approach to Fault Modeling and Fault Seeding using the Program Dependence Graph. The Journal of Systems and Software. 36(3):273-296, March 1997. The PDG combined Mary Jean's analysis knowledge with my mutation knowledge. We had fun, we learned a lot about writing papers, collaborating, and revising papers. I wish Mary Jean and I had written more papers together. 1996 Jeff Offutt , Gregg Rothermel, Christian Zapf, Roland Untch and Ammei Lee. An Experimental Determination of Sufficient Mutation Operators. ACM Transactions on Software Engineering Methodology. 5(2):99-118, April 1996. 1996 Jeff Offutt and Li Li. Algorithmic Analysis of the Impact of Changes to Object-Oriented Software. 1996 International Conference on Software Maintenance, pages 171-184, Monterey, CA, November 1996. 1996 Jeff Offutt and Jane Hayes. A Semantic Model of Program Faults. ISSTA 96, the International Symposium on Software Testing and Analysis, pages 195-200, San Diego, CA, January 1996. 1994 Jeff Offutt and Stephen D. Lee. An Empirical Evaluation of Weak Mutation. IEEE Transactions on Software Engineering, 20(5):337-344, May 1994 1994 Paul Ammann and Jeff Offutt . Using Formal Methods To Derive Test Frames in Category-Partition Testing. Ninth Annual Conference on Computer Assurance (COMPASS 94), pages 69-80, Gaithersburg, Maryland, June 1994. The formal methods (Z) was not the strength of this paper. It defined the first criteria for combination strategies (category partitioning, or input space partitioning), each choice and base choice . Both are used widely in industry. 1993 Roland Untch, Mary Jean Harrold, and Jeff Offutt . Mutation Analysis Using Program Schemata . 1993 International Symposium on Software Testing and Analysis, pages 139-148, Cambridge, Massachusetts, June 1993. 1992 Jeff Offutt . Investigations of the Software Testing Coupling Effect. ACM Transactions on Software Engineering Methodology, 1(1):3-18, January 1992. How cool is it to be the first paper in the first issue of a new journal? Not only that, the paper verified an idea that was a basis for mutation, but was doubted by most researchers at the time. 1991 Rich DeMillo and Jeff Offutt . Constraint-Based Automatic Test Data Generation. IEEE Transactions on Software Engineering, 17(9):900-910, September 1991. The core of my PhD dissertation, and still my most cited paper. A paper that is still cited almost 25 years later had true impact. 1991 K. N. King and Jeff Offutt . A Fortran Language System for Mutation-Based Software Testing. Software Practice and Experience, 21(7):686-718, July 1991. 1989 Jeff Offutt . The Coupling Effect: Fact or Fiction? Third Software Testing, Analysis, Verification Symposium, pages 131-140, Key West, Florida, December 1989. 1988 Rich DeMillo, Dany Guindi, Kim King, Mike M. McCracken, and Jeff Offutt . An Extended Overview of the Mothra Software Testing Environment. Second Workshop on Software Testing, Verification, and Analysis, pages 142-151, Banff, Canada, July 1988. The first Mothra publication. Mothra changed software testing. Not only was Mothra a research testing tool that was not vaporware, it was distributed to hundreds of other researchers, with source, and is considered a precursor to open source software. Authorship is strictly alphabetical, as were all Mothra papers. 1987 Jeff Offutt and Kim King. A Fortran 77 Interpreter for Mutation Analysis. 1987 ACM SIGPLAN Symposium on Interpreters and Interpretive Techniques, pages 177-188, St. Paul, MN, June 1987. 1985 Jeff Offutt . Hints on Writing Style for Usenet . Monthly electronic posting to the Usenet newsgroup news.announce.newusers. This was a blog before blogs existed. I took a very good technical writing class as an undergraduate and wrote this in around 1983 to try to help internet posters learn to write. It wasn't peer reviewed, but it's still all over the web, despite being written a decade before the web existed. General Software Testing 2014 Jeff Offutt and Chandra Alluri. An Industrial Study of Applying Input Space Partitioning to Test Financial Calculation Engines . Springer's Empirical Software Engineering journal, 19(3):558-581, June 2014. We were able to not only demonstrate that ISP helped test financial service software very well, but they let us publish openly. Thanks! 2011 Gary Kaminski, Paul Ammann, and Jeff Offutt . Better Predicate Testing . Sixth Workshop on Automation of Software Test (AST 2011), pages 57-63, May 2011, Honolulu, Hawaii, USA. This is a new way to reduce the cost of mutation--a proof that some mutants subsume others. 2008 Paul Ammann and Jeff Offutt . Introduction to Software Testing . Cambridge University Press, 2008. We started this book because we needed a book for our class, and finished it as a service to the community. 562 citations and counting. 2006 Jing Guan, Jeff Offutt and Paul Ammann. An Industrial Case Study of Structural Testing Applied to Safety-critical Embedded Software . ACM International Symposium on Empirical Software Engineering, ISESE 2006, pages 272-277, September 2006, Rio de Janeiro, Brazil. We applied CACC (sort of MCDC) to real software and found real faults, including two safety-critical faults. We need more industrial studies like this. Plus, this was my 100th published paper! 2006 Robert Nilsson, Jeff Offutt and Jonas Mellin. Test Case Generation for Testing of Timeliness . Second Workshop on Model Based Testing. pages 102-121, March 2006, Vienna, Austria. Robert's dissertation was very cool--we applied mutation to test for timeliness. 2005 Mats Grindal, Jeff Offutt and Sten F. Andler. Combination Testing Strategies: A Survey . Journal of Software Testing, Verification and Reliability, Wiley, 15(2):97-133, September 2005. Not only did this paper directly lead to the ISP chapter in our book, it has 288 citations (as of June 2014). 2003 Paul Ammann, Jeff Offutt and Hong Huang. Coverage Criteria for Logical Expressions. 2003 International Symposium on Software Reliability Engineering (ISSRE 03). pages 99-107, Denver, CO, November 2003. While working on the book, Paul and I got tired of the ambiguity within MCDC. So we defined a more general structure for logic-based testing, leading to the active clause coverage criteria family defined in this paper. 1996 Mary Jean Harrold, Jeff Offutt , and Kanupriya Tewary. An Approach to Fault Modeling and Fault Seeding using the Program Dependence Graph. The Journal of Systems and Software. 36(3):273-296, March 1997. The PDG combined Mary Jean's analysis knowledge with my mutation knowledge. We had fun, we learned a lot about writing papers, collaborating, and revising papers. I wish Mary Jean and I had written more papers together. 1996 Jeff Offutt and Jane Hayes. A Semantic Model of Program Faults. ISSTA 96, the International Symposium on Software Testing and Analysis, pages 195-200, San Diego, CA, January 1996. 1994 Paul Ammann and Jeff Offutt . Using Formal Methods To Derive Test Frames in Category-Partition Testing. Ninth Annual Conference on Computer Assurance (COMPASS 94), pages 69-80, Gaithersburg, Maryland, June 1994. The formal methods (Z) was not the strength of this paper. It defined the first criteria for combination strategies (category partitioning, or input space partitioning), each choice and base choice . Both are used widely in industry. Mutation Analysis and Testing 2016 Lin Deng, Jeff Offutt , Paul Ammann, and Nariman Mirzaei. Mutation Operators for Testing Android Apps . Elsevier's Information and Software Technology, special issue from the mutation 2015 workshop, 2016. Mutating androids is so cool. 2014 Paul Ammann, Marcio E. Delamaro, and Jeff Offutt . Establishing Theoretical Minimal Sets of Mutants . 7th IEEE International Conference on Software Testing, Verification and Validation (ICST 2014), March 2014, Cleveland Ohio, USA. I believe this research has the potential to revolutionize mutation. Time will tell. 2011 Jeff Offutt . A Mutation Carol: Past, Present and Future . Elsevier's Information and Software Technology, special issue from the mutation 2009 workshop, 53(10):1098-1107, October 2011. This was a fun historial perspective, based on a keynote talk. 2010 Upsorn Praphamontripong and Jeff Offutt . Applying Mutation Testing to Web Applications . Sixth Workshop on Mutation Analysis (Mutation 2010), April 2010, Paris, France. Mutating the web is fun. Plus it's Upsorn's first paper. 2006 Jeff Offutt , Paul Ammann and Lisa (Ling) Liu. Mutation Testing implements Grammar-Based Testing . Second Workshop on Mutation Analysis (Mutation 2006), pages 93-102, November 2006, Raleigh, NC. This concept paper let us to a new, and much broader, view of mutation testing. This led to the syntax chapter in the testing textbook. 2005 Yu-Seung Ma, Jeff Offutt and Yong Rae Kwon. MuJava : An Automated Class Mutation System . Journal of Software Testing, Verification and Reliability, Wiley, 15(2)97-133, June 2005. muJava has been used by hundreds researchers and students, maybe thousands. It is also one of my most cited paper (413 as of June 2014). 2000 Jeff Offutt and Roland Untch. Mutation 2000: Uniting the Orthogonal Mutation . 2000: Mutation Testing in the Twentieth and the Twenty First Centuries, pages 45-55, San Jose, CA, October 2000. I honestly thought this was my last mutation paper. The message was that "we have learned how to make mutation practical, now it's time for a tool builder to come in and commercialize. Here's how." Mark Hampton heard the talk and built Certess for the digital electronics community, so that part worked. But after the talk, a PhD student from KAIST named Yu-Seung Ma came to me with this crazy idea of applying mutation to OO software ... which led to muJava and a lot more mutation papers on my CV. I still haven't forgiven her. 1997 Jeff Offutt and Jie Pan. Automatically Detecting Equivalent Mutants and Infeasible Paths. The Journal of Software Testing, Verification, and Reliability, Wiley, 7(3):165-192, September 1997. Equivalent mutants dramatically increases the cost of mutation testing, but detecting them is a formally undecidable problem. This paper picked a future work suggestion from my dissertation: If solving constraints will result in a test that kills a mutant, then if the constraint system is unsolvable, the mutant must be equivalent. Jie Pan and I developed a set of rules to detect infeasiblilities in the constraint systems and were able to detect well over 40% of the equivalent mutants. We also realized the same approach addressed the "equivalent" problem with path coverage criteria such as statement, branch, and data flow. At the end of the project we thought of using slicing and mentioned it in future work. Several years later, Hierons and Harman applied slicing to the equivalent mutant problem, obviating this paper. 1996 Jeff Offutt , Gregg Rothermel, Christian Zapf, Roland Untch and Ammei Lee. An Experimental Determination of Sufficient Mutation Operators. ACM Transactions on Software Engineering Methodology. 5(2):99-118, April 1996. 1994 Jeff Offutt and Stephen D. Lee. An Empirical Evaluation of Weak Mutation. IEEE Transactions on Software Engineering, 20(5):337-344, May 1994 1993 Roland Untch, Mary Jean Harrold, and Jeff Offutt . Mutation Analysis Using Program Schemata . 1993 International Symposium on Software Testing and Analysis, pages 139-148, Cambridge, Massachusetts, June 1993. 1992 Jeff Offutt . Investigations of the Software Testing Coupling Effect. ACM Transactions on Software Engineering Methodology, 1(1):3-18, January 1992. How cool is it to be the first paper in the first issue of a new journal? Not only that, the paper verified an idea that was a basis for mutation, but was doubted by most researchers at the time. 1991 K. N. King and Jeff Offutt . A Fortran Language System for Mutation-Based Software Testing. Software Practice and Experience, 21(7):686-718, July 1991. 1989 Jeff Offutt . The Coupling Effect: Fact or Fiction? Third Software Testing, Analysis, Verification Symposium, pages 131-140, Key West, Florida, December 1989. 1988 Rich DeMillo, Dany Guindi, Kim King, Mike M. McCracken, and Jeff Offutt . An Extended Overview of the Mothra Software Testing Environment. Second Workshop on Software Testing, Verification, and Analysis, pages 142-151, Banff, Canada, July 1988. The first Mothra publication. Mothra changed software testing. Not only was Mothra a research testing tool that was not vaporware, it was distributed to hundreds of other researchers, with source, and is considered a precursor to open source software. Authorship is strictly alphabetical, as were all Mothra papers. 1987 Jeff Offutt and Kim King. A Fortran 77 Interpreter for Mutation Analysis. 1987 ACM SIGPLAN Symposium on Interpreters and Interpretive Techniques, pages 177-188, St. Paul, MN, June 1987. Model-Based Testing 2017 Nan Li and Jeff Offutt . Test Oracle Strategies for Model-based Testing . IEEE Transactions on Software Engineering, 43(4):372-395, April 2017. TSE is always special. 1999 Jeff Offutt and Aynur Abdurazik. Generating Tests from UML Specifications. Second International Conference on the Unified Modeling Language (UML 1999), pages 416-429, Fort Collins, CO, October 1999. This paper was the first to design tests from UML models and has been credited with starting model-based testing. How cool is that? 460 citations as of June 2014. Automatic Test Data Generation 1999 Jeff Offutt , Zhenyi Jin, and Jie Pan. The Dynamic Domain Reduction Procedure for Test Data Generation . Software Practice and Experience, 29(2):167-193, January 1999. I believe this is my best research. It also may be the most complicated. The paper was rejected four times before a reviewer wrote 10 pages explaining exactly how badly the paper was written. I owe that person a debt for this paper, and for teaching me how to write. Despite not being in a "top" journal, it has lots of citations (168 as of June 2014) and has impacted practice. Agitar's agitator was based on this paper, and although the Pex researchers never cite it, Pex uses many of the ideas that were first presented in the paper. 1991 Rich DeMillo and Jeff Offutt . Constraint-Based Automatic Test Data Generation. IEEE Transactions on Software Engineering, 17(9):900-910, September 1991. The core of my PhD dissertation, and still my most cited paper. A paper that is still cited almost 25 years later had true impact. Object-Oriented Analysis & Testing 2007 Leonard Gallagher, Jeff Offutt and Anthony Cincotta. Integration Testing of Object-oriented Components Using Finite State Machines . Journal of Software Testing, Verification, and Reliability, Wiley, 17(1):215-266, January 2007. Len and I worked for years on this paper through 5 painful revisions. It is one of my two "forever papers;" deep, valuable, but too complicated for most readers. 2000 Roger T. Alexander and Jeff Offutt . Criteria for Testing Polymorphic Relationships. The Eleventh IEEE International Symposium on Software Reliability Engineering (ISSRE '00), pages 15-23, San Jose, CA, October 2000. Roger taught me OO and I taught him research. When he showed me the "yo-yo" graph, it scared me senseless. This research has led me to conclude that polymorphism is too hard for most programmers and should be restricted to experts with advanced licenses and training, kind of like fighter jet aircraft pilots. Web Software Engineering 2014 Jeff Offutt ,Vasileios Papadimitriou, and Upsorn Praphamontripong. A Case Study on Bypass Testing of Web Applications . Springer's Empirical Software Engineering journal, 19(1):69-104, February 2014. Being able to apply this concept to real, commercial, applications was fun and rewarding. 2010 Upsorn Praphamontripong and Jeff Offutt . Applying Mutation Testing to Web Applications. Sixth Workshop on Mutation Analysis (Mutation 2010), April 2010, Paris, France. Mutating the web is fun. Plus it's Upsorn's first paper. 2009 Jeff Offutt and Ye Wu. Modeling Presentation Layers of Web Applications for Testing . Springer's Software and Systems Modeling, 9(2):257-280, April 2010. This model captures fundamental aspects of web software that are new, powerful, and risky, thus need to be tested. It was hard to get it published because reviewers didn't underestand the web and because we didn't understand how to write the paper. Nevertheless, the TR had 88 citations. 2005 Wuzhi Xu, Jeff Offutt and Juan Luo. Testing Web Services by XML Perturbation . IEEE International Symposium on Software Reliability Engineering, pages 257-266, November 2005, Chicago Illinois. This was one of the first papers to apply mutation to a non-executable language to generate tests. 2004 Jeff Offutt , Ye Wu, Xiaochen Du and Hong Huang. Bypass Testing of Web Applications. IEEE International Symposium on Software Reliability Engineering, pages 187-197, November 2004, Bretagne France. I am as proud of bypass testing as any invention. The paper has well over 100 citations. 2002 Jeff Offutt . Quality Attributes of Web Software Applications . IEEE Software: Special Issue on Software Engineering of Internet Software, 19(2):25-32, March/April 2002. My first IEEE Software paper. This was a "big picture view" of what's novel about web software and how it affects software engineering. Not surprisingly, it is one of my most cited papers (292 as of June 2014). Other Software Engineering 2008 Jeff Offutt , Aynur Abdurazik, and Steve Schach. Quantitatively Measuring Object-Oriented Couplings . Springer's Software Quality Journal, 6(4):489-517, December 2008, doi: 10.1007/s11219-008-9051-x. I was happy to make this field a little more quantitative. 2003 Steve Schach, Bo Jin, David R. Wright, Gillian Z. Heller, and Jeff Offutt . Quality Impacts of Clandestine Common Coupling. Kluwers Software Quality Journal, 11(3):211-218, July 2003. Who knew that common (global) coupling could appear after deployment, as the software evolves? Steve and I had a lot of fun with this project and had some fundamental results in software evolution and maintenance. 2002 Steve Schach, Bo Jin, David Wright, Gillian Z. Heller, and Jeff Offutt . Maintainability of the Linux Kernel. IEE Proceedings Journal: Special Issue on Open Source Software Engineering, 149(1):18-23, February 2002. This was a very controversial paper, as Linux lovers did not like the results: because of the many dependencies, Linux was hard to maintain and getting worse. Nevertheless, the facts are the factsthat's science. 1996 Jeff Offutt and Li Li. Algorithmic Analysis of the Impact of Changes to Object-Oriented Software. 1996 International Conference on Software Maintenance, pages 171-184, Monterey, CA, November 1996. Software Engineering Education 2013 Jeff Offutt . Putting the Engineering into Software Engineering Education . IEEE Software, Jan-Feb 2013, 30(1):96-100. This paper was an ACM "notable" paper for 2013 and sparked a lot of interesting discussion. Software Security 2013 Jing Jin, Jeff Offutt , Nan Zheng, Feng Mao, Aaron Koehl, and Haining Wang. Evasive Robots Masquerading as Human Beings on the Web . 43rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DNS 2013), June 2013, Budapest Hungary. How often to software engineering guys publish in top security conferences? Miscellaneous 1985 Jeff Offutt . Hints on Writing Style for Usenet . Monthly electronic posting to the Usenet newsgroup news.announce.newusers. This was a blog before blogs existed. I took a very good technical writing class as an undergraduate and wrote this in around 1983 to try to help internet posters learn to write. It wasn't peer reviewed, but it's still all over the web, despite being written a decade before the web existed. Keynote Talks & Other Public Lectures I have completely lost track of all the talks I've given. This list is just a few of the interesting (to me) talks that I remember. 2014 How to Get Your Paper Rejected . Invited talk for the PhD Symposium at the International Conference on Software Testing, Verification and Validation (March 2014) PPTX Generating Tests from Behavioral Models . Invited talk at Siemens Research Labs, Princeton NJ (May 2014) PPTX 2013 How the Web Brought Evolution Back Into Design . Keynote Speaker at the Brazilian Symposium on Software Engineering (SBES), Brazilia Brazil (October 2013) PPTX Research Issues in Web Application Testing . Invited Lecturer for the Intl Summer School on Trends in Computing, Tarragona Spain (July 2013) Slides: Part 1 Part 2 Part 3 Part 4 Invited lectured to the INFORTE Summer School , Oulu Finland (June 2013) 2012 Better Logic-Based Testing . Invited talk at Linkping University (January 2012) PPTX Using Collaborative Learning and Divergent Thinking to Teach Software Engineering . Keynote talk at the Software Engineering Education Conference, Kunpur India (February 2012) PPTX Teaching an Innovative Asynchronous, International, Multi-University Seminar . Invited talk at the Innovations in Teaching & Learning Conference George Mason University (September 2012) PPTX 2011 Testing Web Applications with the Atomic Section Model . Invited talk at Linkping University (January 2011) PPTX Cost / Benefit Arguments for Automation and Coverage . Invited talk to the Northern Virginia Test Automation Interest Group (August 2011) PPTX 2010 Automatically Generating Test Data for Web Applications . Keynote speaker at the Google Test Automation Conference (GTAC), Hyderabad India (October 2010) PPTX The Model-Driven Test Design Process . Keynote speaker at SOFTEC, Kuala Lumpur Malaysia (July 2010) PPTX Testing Dynamic Aspects of Web Applications . Research tutorial at SOFTEC, Kuala Lumpur Malaysia (July 2010) PPTX The Model-Driven Test Design Process . Seminar lecture at TAROT, Austria (June 2010) PPTX Testing Dynamic Aspects of Web Applications . Research lecture at TAROT, Austria (June 2010) PPTX 2009 Automatic Test Data Generation : Who, When and Where? . Invited talk at University of Boston (December 2009) PPTX The Model-Driven Test Design Process . Invited talk at Telechips, Seoul Korea (October 2009) PPTX Introduction to Software Testing . Two day seminar at Samsung Electronics, Suwon Korea (October 2009) Introduction to Software Testing . Full-day seminar at Sogang University, Seoul Korea (October 2009) Model-Driven Test Design . Keynote speaker at the 12th International Conference on Quality Engineering in Software Technology (Conquest), Nuremberg Germany (September 2009) PPTX Automatic Test Data Generation: Who, When and Where? . Keynote speaker at the third IEEE International Conference on Secure Software Integration and Reliability Improvement, Shanghai China (October 2009) PPTX A Mutation Carol: Past, Present and Future . Keynote speaker at the Mutation 2009 workshop, Denver CO (April 2009) 2008 XML-based Testing of Web Software Services . Keynote speaker at the 2nd International Research Workshop on Advances and Innovations in Systems Testing, Memphis TN (May 2008) PPTX Programmers Ain't Mathematicians and Neither Are Testers . Keynote speaker at the 10th International Conference on Formal Engineering Methods, Japan (September 2008) PPTX 2007 Internet Safety . Invited speaker at Wakefield School in The Plains, VA (October 2007) 2006 How to be a software testing PhD student . Invited Lecturer for the ARTES Summer School (A network for Real-Time research and graduate Education in Sweden), Nasslingen, Sweden (August 2006) Honors and Awards Notable article for 2013. " Putting the Engineering into Software Engineering Education ," IEEE Software 30(1), February 2013. Selected by ACM Computing Reviews. George Mason University Teaching Excellence Award. Teaching With Technology, 2013 Finalist, Governor's Technology in Education Award. Commonwealth of Virginia, 2012 GMU SCHEV Outstanding Faculty member. George Mason University, 2009 & 2010 Outstanding Researcher Award. ISE Department, 2006 Outstanding Researcher Award. School of IT&E, 2004 Best Teacher Award. School of IT&E, 2003 Outstanding Teacher Award. ISE Department, 2003 Outstanding Paper Award. ICECCS 1996 Teaching & Mentoring Courses Fall 2017 Classe SWE 637 Software Testing Office hours: Wednesdays 3:30-5:00 I have taught for 26 years at three universities, George Mason University, Clemson University, and the Georgia Institute of Technology. Most of my courses are in Software Engineering, although I taught data structures, introductory programming, compilers, and algorithms early in my career. I have introduced a large number of innovations in terms of topics, teaching techniques, and style. At Mason, this includes developing six completely new courses, substantially revising six others, and publishing five education related papers. I also pioneered several innovations for incorporating the web into class material delivery, some of which are now used by many other college professors. My course designs for INFS 590, SWE 637, SWE 619, SWE 632, SWE 642, and SWE 763 are used by several other faculty at Mason and elsewhere. Some general information about my courses. Graduate Courses SWE 619 Software Construction (last taught, Fall 1997) SWE 626 Software Project Laboratory (last taught, Fall 2000) SWE 632 User Interface Design and Development (last taught, Fall 2016) SWE 637 Software Testing (last taught, Fall 2016) SWE 642 Software Engineering for the World Wide Web (last taught, Fall 2013) SWE 737 Advanced Software Testing (last taught, Spring 2017) SWE 763 Software Engineering Experimentation (last taught, Spring 2015, mostly asynchronous) IT 821 / SWE 699 OO and Architecture-based Testing (last taught, Spring 2000) IT 824 Analysis of Software for Testing (last taught, Fall 1999) SWE 825 / IT 825 Special Topics in Web-Based Software (last taught, Spring 2007 IT / CS / CEIE / STAT 990 Dissertation Topic Presentation (last taught, Fall 2013) Undergraduate Courses SWE 205 Software Usability Analysis and Design (last taught, Spring 2017) SWE 301 & 401 Internship Preparation & Reflection , (last taught, Spring 2017) SWE 432 Design and Implementation of Software for the Web (last taught, Fall 2015) SWE 437 Software Testing and Maintenance (Last taught, Spring 2008) INFS 590 Program Design and Data Structures (last taught, Fall 1999) Mason Programs and Other Stuff MS program in Software Engineering Certificate in Software Engineering Certificate in Web-based Software Engineering ACS Software Engineering undergraduate program Minor in Software Engineering PhD program in Information Technology Concentration in Software Engineering ( Local description ) ( Catalog ) PhD program in Computer Science Some talks for PhD students A few of my web applications Philosophy Professors in engineering departments at research schools like Mason have an odd, sometimes contradictory relationship with teaching. I was hired for my research and tenured for research. I am recognized in my department for prolific publishing. Where does teaching fit in? To teach well, we have to enjoy teaching and care about the students. If we don't care for them, they will not care what we say. I like to teach because I am addicted to learning. I get bored if I don't learn something new every day, so I teach because it gives me an excuse to learn. This compulsion drives me to teach new subjects and to find new, innovative ways to present knowledge. I started teaching with chalk boards, moved to white boards with colored markers, then plastic transparencies, and on to power point. I first used the web to disseminate class materials and display examples, then broadcast my lectures to synchronous, simultaneous audiences outside the classroom. I then found I could use the web to extend learning beyond the temporal and spatial constraints of the classroom through interesting and informative discussions, using recorded lectures to run a "flipped" classroom, teaching asynchronously, completely on the web. When I started teaching as a 24 year old graduate student, I had a very peer-like relationship, then became more of a big brother, and as I grew older, developed more of a father-figure approach. Through all of this, one of the most enjoyable parts of teaching has been enduring relationships with people I genuinely like and respect. I grew up in an educational desert. None of my friends' parents went to college, my elementary school classes were taught to the lowest common denominators, classes were tortuously slow, and I was a constant target of bullies. 40% of my high school class dropped out and 10 of 150 started college. My geometry teacher couldn't do proofs, my chemistry class had no chemicals or even running water, and my 12th grade English class included functionally illiterate students. I graduated high school poorly educated, but hungry. Literally starved for knowledge. No matter how much I learn, that hunger has never gone away. My hunger for knowledge has never abated and it has become a passion for teaching. My goal is to impart that passion for learning to my students. I love to be the teacher I seldom had. My classes emphasize diversity, divergent thinking , and collaborative learning . My teaching principles . Students who want to email me should read my suggestions for students making requests first. Mentoring Current PhD Students Kesina Baral Anders Eriksson. Skvde University, co-advising with Birgitta Lindstrm. Model-Based Testing . Andras Markl. Skvde University, co-advising with Birgitta Lindstrm. Test Criteria . Some relevant advice ... part-time or full-time ? PhD Graduates Yun Guo. Dissertation title: Towards Automatically Localizing and Repairing SQL Faults . (2018) ( PDF of Yuns Dissertation ) Lin Deng . Dissertation title: Mutation Testing for Android Apps . (2017) ( PDF of Lins Dissertation ) Current position: Assistant Professor, Towson University Upsorn Praphamontripong . Dissertation title: Testing Web Applications with Mutation Analysis. (2017) ( PDF of Upsorns Dissertation ) Current position: Lecturer, University of Virginia Jing Guan. Dissertation title: A Model-Based Testing Technique For Component-Based Real-Time Embedded Systems. (2015) ( PDF of Jings Dissertation ) Current position: Senior Software Engineer, Lockheed Martin Nan Li . Dissertation title: Generating Cost-Effective Criteria-Based Tests From Behavioral Models. (2014) ( PDF of Nans Dissertation ) Current position: Medidata Solutions Jing Jin . Towards Evasive Attacks: Anomaly Detection Resistance Analysis On The Internet. (2013) ( PDF of Jings Dissertation ) Current position: Senior Software Engineer -- Security @ Intuit Gary Kaminski. Applications of Logic Coverage Criteria and Logic Mutation to Software Testing . (2010) Primary advisor: Paul Ammann. Current position: Software Engineer at CACI Birgitta Lindstrm of University of Skvde in Sweden. Testability of Dynamic Real-Time Systems . (2009) Primary advisor: Sten Andler. University of Skvde in Sweden, co-advised with Sten Andler. ( PDF of Birgittas Dissertation ) Current position: Associate Professor at Skvde University, Sweden. Aynur Abdurazik. Coupling-based Analysis of Object-Oriented Software . (2007) ( PDF of Aynurs Dissertation ) Current Position: Senior Software Engineer at NASA/SAIC Mats Grindal. Evaluation of Combination Strategies for Practical Testing. (2007) University of Skvde in Sweden, co-advised with Sten Andler and Jonas Mellin. Current position: AddQ Consulting, Sweden Supaporn Kansomkeat . An Analysis Technique to Increase Testability of Class-Components (2007) ( PDF of Supaporns Dissertation ) Chulalongkorn University in Thailand, co-advised with Wanchai Rivebipoon. Current position: Prince of Songkla University, Thailand Robert Nillson. Automatic Timeliness Testing of Dynamic Real-Time Systems (2006) ( PDF of Roberts Dissertation ) University of Skvde in Sweden, co-advised with Sten Andler and Jonas Mellin. Current position: Google Switzerland Yu-Seung Ma. Object-oriented Mutation Testing for Java (2005) KAIST University in Korea, co-advised with Yong-Rae Kwon. Roger Alexander. Testing the Polymorphic Relationships of Object-Oriented Programs (2001) ( PDF of Rogers Dissertation ) Current position: Lead Software Engineer at Schweitzer Engineering Labs Jenny Jin. A Software Architecture-based Testing Technique (2000) (PDF of Zhenyis Dissertation) Current position: Systems Engineering Manager at Harris Corporation Michelle Lee (Li Li). Change Impact Analysis for Object-Oriented Software (1998) ( PDF of Michelles Dissertation ) Current Position: Executive Director, Web & Mobile Technology/Business Technology at The College Board Jane Hayes . Input Validation Testing: A System Level, Early Lifecycle Technique. (1998) ( PDF of Janes Dissertation ) Current Position: Full Professor, University of Kentucky. Roland Untch . Schema-based Mutation Analysis (1995) Co-advisor with Dr. Mary Jean Harrold) Current Position: Professor, Middle Tennessee State University. George P Burdell . Analysis of Hymenoptera Induced Melittin on Canines (1992) Current Position: Retired. Masters Students Chandra Alluri. Thesis title: Testing Calculation Engines Using Input Space Partitioning and Automation . ( PDF of Thesis ) ( PDF of Presentation ) (2008) Vasileios Papadimitriou. Thesis title: Automating Bypass Testing for Web Applications . ( PDF of Thesis ) ( PPT presentation ) (2006) Wei Ding , Using Mutation to Generate Tests from Specifications (thesis advisor: Paul Ammann), 2000. Wei and her professors Aynur Abdurazik, Generating Test Data From UML Specifications , 1999. Alisa Irvine, The Effectiveness of Category-partition Testing of Object-oriented Software , (1994). Jie Pan, Using Constraints to Detect Equivalent Mutants (1994). Christian Zapf, Distributing Mutation on a Network of Sun Servers (1993). ( PDF of Thesis ) Tracey Oakes, A WIMP Interface to Mothra (1993). David Pressley, Data Flow Analysis for Generating Statement Coverage Constraints (1992). Raad Yacu, An Improved Procedure for Generating Statement Coverage Constraints , 1991. Scott Fichter, Parallelizing Mutation on a Hypercube (1991). Stephen D. Lee, Weak vs. Strong: An Empirical Comparison of Mutation Variants (1991). W. Michael Craft, Detecting Equivalent Mutants Using Compiler Optimization Techniques (1989). Jason Emil Seaman, Using Symbolic Evaluation to Address the Internal Variable Problem (1989). Curriculum Development Co-led team to create an undergraduate concentration in Software Engineering as part of the Applied Computing Science degree (effective Fall 2009) Led team to create an undergraduate minor in Software Engineering (effective Fall 2006) Led team to a major restructure of GMUs MS program in Software Engineering (effective Fall 2005) Developed a graduate Certificate in Web Software Engineering Led team to develop a PhD Concentration in Software Engineering within GMUs PhD in Information Technology With Henry Hamburger of GMUs CS Department, led team to design GMUs PhD in Computer Science (effective Fall 2000) Participated in major restructuring of Clemson Universitys MS in Computer Science , eliminating requirement for MS project (wrote first draft of document) Participated in major restructuring of Clemson Universitys PhD in Computer Science (wrote first draft of document) Software Throughout my career I have focused on software engineering techniques that incorporate a large theoretical component, and also that can be used by real programmers. I emphasize empirical validations, and as such, have constructed, helped to construct, or led the construction of several working software systems. Most of these offer a proof-of-concept demonstration vehicle of theoretical concepts as well as a lab for empirical validation. Some of these (most notably muJava, Mothra and Godzilla, and also Mistix and Albert) have been used by dozens or hundreds of other researchers. muJava The mutation testing for Java project (Java) is a testing tool that is distributed under an open source software model. Java is a mutation testing system for Java programs that supports the object-oriented features of inheritance, polymorphism and dynamic binding. It was built as an international collaborative effort between myself at GMU and Yu-Seung Ma at the Korean Advanced Institute for Science and Technology (KAIST), as part of her PhD work. Java is freely available on its website . and is currently being used at hundreds of universities for research and teaching purposes. Three papers have been published about Java, it was featured at the research tool demo session at the International Conference on Software Engineering in 2006, and many dozen of researchers and educators use Java. Coverage-based Analysis Tool (CBAT) This NSF-funded research project created a fully functional, multi-capability, robust analysis and coverage tool for Java. This tool allows researchers to generate a large number of coverage graphs that represent Java programs, which can then be used for test generation, test coverage measurement, metrics computation, maintenance computations, and other purposes. CBAT focused on inheritance and polymorphic relationships, as well as traditional control and data flow information. This tool was built as part of Roger Alexanders PhD dissertation. Coupling-based Testing (CoupTest) This NSF-funded research project created an analysis tool to extract coupling relationships and measure coverage of tests according to the coupling-based test technique. This tool was built in Java for Java programs. Specification-based Testing (SpecTest) This Rockwell/Collins-funded research project developed a tool to measure the extent to which system-level test data satisfies a set of test criteria that are defined on formal specifications and design models of the software. The tool worked with the NRLs SCRTool, which implements the SCR specification language, and Rational Corporations Rose tool, which supports the Unified Modeling Language. This tool was primarily built by Aynur Abdurazik as part of her MS thesis. Program Mutation for SDI Applications (Mothra) This research project involved approximately 12 people in the design and development of a mutation-based unit-level software testing system known as Mothra. Mothra was over 50,000 lines of C code, executed in Unix environments, and among other tools includes a parser, an interpreter, a test harness, a test case manager, and several user interfaces. While a graduate student, Dr. Offutt and Dr. Rich DeMillo (currently of Georgia Institute of Technology) were the major designers of Mothra, and Offutt was responsible for over 50% of the implementation, including the interpreter, the test harness, the test case manager, and the initial user interfaces. This work yielded many dozens of papers in refereed conferences and journals; Mothra was been used as a research and demonstration vehicle in dozens of locations. Godzilla This tool was designed and built as part of Offutts doctoral work. Godzilla automatically generated test data for unit testing according to several test criteria, including mutation, multiple condition coverage, branch and statement. Godzilla was approximately 25,000 lines of C code, executed in Unix environments, and was fully integrated with Mothra. The software company Agitar incorporated much of the Godzillas test data generation innovations into their commercial testing tool, Agitator. HyperMothra, Leonardo, and Equalizer These proof-of-concept systems all involve major modifications to Mothra to improve the efficiency of the mutation testing process. These systems provide extended functionality, use different basic algorithms, and utilize parallel hardware architectures. These projects were all implemented by graduate students as Masters projects, using Offutts design and under his direction. IMSCU This streamlined mutation system was built by several graduate students according to Offutts specification and under his direction. Two versions were built, one in C (about 8,000 lines of code) and another in Modula-2 (about 5,000 lines). IMSCU was used in several course projects at both the graduate and undergraduate level, and as a research vehicle in software metrics experimentation. In an undergraduate senior-level project-oriented course, IMSCU was used as a project template, where the class was supplied with a partial implementation and a system architectural design, and divided into five teams, each of which derived requirements for, designed, implemented, and tested an additional major subsystem. All subsystems were integrated into a complete system, which was then tested as a whole. This project involved reuse, maintenance, integration, and all phases of the software life cycle, and was managed by Offutt to provide practical, industrial-oriented experience to the students. Mistix This simplified file system was initially specified by Dr. Offutt for a class implementation project. It has been used in several classes for implementation projects, and has been implemented in several languages (C, Modula-2, Ada) by Offutt. Implementations have been used in test classes, user interface classes, and the concept has been used in formal methods classes. Implementations have also been used in several research projects. Albert This project to build a computer algebra system for nonassociative identities was led by Dr. Jacobs of Clemson University. Offutt designed both the overall system and a command-language user interface, which were implemented by graduate students. Albert is currently used by mathematicians around the world to support research in nonassociative algebra. Leadership, Service & Outreach Highlights Offutt has been a leader at various levels. Since 2007, he has been editor-in-chief of the journal of Software Testing, Verification, and Reliability . In 2008 he and a small team (Andrews, Briand, and Baudry) created the International Conference on Software Testing, Verification and Validation (ICST), which immediately became one of the largest and most successful area conferences in software engineering. He was elected the first Steering Committee Chair and was co-Program Chair for ICST 2009. His textbook , Introduction to Software Testing (co-authored with Ammann), is the leading worldwide textbook in software testing. Software Engineering Offutt also is or has been on the editorial board for several journals, including TSE, EmSE, SQJ, and SoSyM. He has also helped organize over a dozen workshops and PhD Symposiums, and been on the technical program committees for dozens of conferences. Over his 26 year career, he has reviewed hundreds of papers and proposals. At George Mason From 2005 through 2013, and starting again in 2015, Offutt has led George Masons MS program in Software Engineering. He has chaired several departmental and university committees, including a Provosts task force for ethical computing, graduate studies committees, tenure and promotion committees, several hiring committees, and been assistant department chair and department chair (interim). He has also served on dozens of other committees at all levels at the university. Community Outreach Outside of academic life, Offutt is a regular speaker at public schools and local civic organizations on topics such as internet safety, web services, software quality, and empirical research (usually organized through the Mason Speakers Bureau ). He is also a certified little league baseball umpire, helps coach little league teams, and coaches Odyssey of the Mind teams. Consulting Activities Most of my consulting is with teaching & training, or with software IP issues as expert analyst and expert witness. Various Software Intellectual Property Cases National Wooden Pallet and Container Association Samsung Electronics Certess Inc, member of the Technical Advisory Board Creative Labs Agitar Software Hyperchip, Inc. IP Optical, Inc. United Arab Emirates University Bell Communications Research INternational Research Institute Reliable Software Technologies Rockwell Collins Avionics Writings & Thoughts Sometimes I write things that I want to remember or share with others. And sometimes I find things that others have written and want to save them. Advice Hints for students making requests Leadership Rules My thoughts on cheating and plagiarism Is Java Bad for Students? Hints on Writing Style for Usenet Presentation Hints (pdf) Advice On Submitting Homeworks (pdf) Getting Started With an IT PHD at GMU My Thoughts on Choosing an Advisor My Thoughts on Forming a PhD Committee My Thoughts on a PhD Proposal Advice on Teaching A Time-effective Strategy for Taking Exams (pdf) Resources A few of my web applications VIM Introduction (pdf) VIM Reference (pdf) VIM 101 Unix Introduction (pdf) Borrowed from Others How to be a Terrible Advisor ( by Nigel Ward ) Criteria for University Faculty ( by F. P. Brooks ) Advice on the Care and Feeding of a Professor (pdf) ( by Dr. Edward B. Wycoff ) The "IT" in a "DO IT" Attitude (pdf) ( by A. L. Williams ) Live and Learn and Pass it On ( A copyright fight with Readers Digest I lost ) Ten Rules For Losing (pdf) ( by Donald R. Keough ) Essay on Teaching Courses ( by Bruce Bathurst ) Teambuilding Tips (pdf) ( by Michael McDonald ) How to Have Your Abstract Rejected ( by Mary-Claire van Leunen and Richard Lipton ) The Distinction Between "Which" and "That" ( by Lorraine Lica, PhD ) Spencers Thoughts on the Structure of CS Dissertations Michael Ernsts advice to students and new faculty Personal A professional web site should not have much personal information, so this section is short. It contains things that have little or nothing to do with my professional life, but that I want to share. `` Some people try to predict the future, but scientists create it.'' previous quotes Ruminations on 9-11 Some of my picture collections Countries I've visited Most of my ancestors are Irish and moved to the US in the 1800s. The name Offutt is English and the first Offutt ( William ) moved to Maryland in the 1670s. Or possibly Thomas Uffitt who moved to Maryland from England in 1632. We even found an old Offutt crest . Last update June 2014 diff --git a/src/data/compiled_bios/1642.txt b/src/data/compiled_bios/1642.txt new file mode 100644 index 0000000000..726ec00aad --- /dev/null +++ b/src/data/compiled_bios/1642.txt @@ -0,0 +1 @@ + Eric Osterweil Assistant Professor, Department of Computer Science at George Mason University Menu Home Research About Me Publications Conferences / Workshops Journals / Magazines Talks RFCs CV NOTE: I am actively looking for post-docs, graduate students, and undergraduate students to work in the below research areas with me. Research Foci My research focuses on the science of cybersecurity. I believe that we are losing the cybersecurity arms-race, and that a combination of basic research and operational innovation is needed to give us the tools we need to combat today's and tomorrow's cybersecurity threats. The Internet we rely upon today requires us to build online networked systems using composable architectures. These are increasingly complex architectures that are built on top of other complex substrates, and lead to deep systemic dependencies and increased attack surfaces. This has allowed miscreants to find unforeseen vulnerabilities and they have had the inherent advantage that they can hit and miss, but we cant miss once. Now, we are enduring ever larger Distributed Denial of Service (DDoS) attacks, large scale routing hijacks that are facilitating Man in the Middle (MitM) attacks, enormous data exfiltration attacks that threaten our data while it is at rest, widescale simultaneous destructive malcode attacks of companies entire IT infrastructures, and many other attacks. These few examples beg a deep research question: can we find security models and techniques that support our efforts to build complex systems using composable components while also providing composable security assurances? I believe basic research that comes from large-scale measurements synergizes well with operationalizing new solutions and conducting structured research investigations into real-world cybersecurity and Internet security problems. Areas and protocols that I work most directly with include securing core Internet protocols like the Domain Name System (DNS) with DNSSEC, security approaches to inter-domain routing in the Border Gateway Protocol (BGP), Distributed Denial of Service (DDoS) attacks, secure cryptographic key learning for dependent systems using DNS-based Authentication of Named Entities (DANE), and ways to apply DANE to opportunistic object-level and session-level security to these and other arenas. My research has applicability in settings like cybersecurity information sharing (STIX/TAXII, Communities of Trust, etc.), securing email, a security substrate for Internet of Things (IoT) deployments, mobile Healthcare (mHealth), and CyberPhysical Systems (CPS). As part of my past, present, and future research, I maintain a number of sites and tools. For example, I have monitored, analyzed and produced research findings about DNSSEC for over 13 years (since shortly after it was standardized), and maintain the public archive of these measurements and results at SecSpider . This is the longest running (and still active) monitoring and longitudinal tracking system of the global rollout of DNSSEC (it is currently 13 years old). Its longitudinal database has over 9,282,133,723 records in it that date back to the very beginning of the DNSSEC global rollout. I am also the maintainer of libSmaug , which is a programmatic API for a reference implementation for the DANE protocol suite (S/MIME, OPENPGP, and a few other components from DANE), and a Thunderbird extension to libSmaug that is a proof of concept for securing end-to-end email. About me I am an assistant professor in the Computer Science Department at George Mason University . I studied physics and computer science at the Johns Hopkins University and earned my Ph.D. from the University of California, Los Angeles. Between these degrees I worked as a professional software engineer for many years, building large-scale production systems at a variety of companies. After earning my doctorate, I conducted research and led investigations as a principal scientist Verisign. While there I studied and published works on inter-domain routing security in the Internet, researched/designed/implemented/operationalized a large-scale DDoS detection and defense system for DNS attacks, and researched the previously unrecogonized threats posed by name collisions with the DNS. Contact Office: ENGR 5346 Office Hours: M 10:00am - 11:30am Email: eoster @ g mu.e du Fax: 703-993-1710 News 2018-11-16:Presented CS department Seminar, " In search of tomorrow's cybersecurity protections, building on today's foundations " Copyright 2014 Keep It Simple. Design by Styleshout . diff --git a/src/data/compiled_bios/1643.txt b/src/data/compiled_bios/1643.txt new file mode 100644 index 0000000000..13a772e79c --- /dev/null +++ b/src/data/compiled_bios/1643.txt @@ -0,0 +1 @@ + John E. Otten Term Instructor Department of Computer Science George Mason University Office: Nguyen Engineering Building - ENGR 5335 Phone: (703) 993-1669 Email: jotten2 AT gmu DOT edu Mail: Department of Computer Science MS 4A5 George Mason University 4400 University Drive Fairfax, VA 22030-4444 Spring 2019 Information: Courses: CS110 - 001 - TR 10:30 - 11:45 AM Enterprise Hall 80 CS110 - 002 - MW 12:00 - 1:15 PM Enterprise Hall 178 CS262 - 002 - TR 1:30 - 2:45 PM Arts & Design 2003 CS262 - 004 - MW 3:00 - 4:15 PM Exploratory Hall L003 Spring 2019 Office Hours: Mon/Wed 4:30 - 5:45 PM diff --git a/src/data/compiled_bios/1644.txt b/src/data/compiled_bios/1644.txt new file mode 100644 index 0000000000..bba492e8bc --- /dev/null +++ b/src/data/compiled_bios/1644.txt @@ -0,0 +1 @@ + Parth H. Pathak HOME RESEARCH PUBLICATIONS TEACHING I am an assistant professor in the Computer Science Department at George Mason University . Before joining Mason, I was a postdoc at University of California, Davis where I worked with Dr. Prasant Mohapatra . I received my Ph.D. in Computer Science from North Carolina State University in 2012. I received the UC Davis award for excellence in postdoctoral research for 2015. RESEARCH INTERESTS The focus of my research is to make wireless networks and mobile systems more efficient, accessible, robust and truly pervasive. I am currently interested in the following topics - Next-generation wireless networks, especially 60 GHz millimeter wave networks, visible light communications RF sensing, mobile/wearable sensing for applications like healthcare and mobile interaction, drone sensing and networking Cyber-physical systems, smart indoor spaces, Internet-of-Things and low-power networking Multiple Research Assistant Positions Available: Looking to recruit PhD, visiting scholars, MS and undergraduate students interested in wireless networking and mobile computing related research. Interested students can contact me at phpathak@gmu.edu. Office: ENGR 5318 Phone: (703) 993-6232 phpathak@gmu.edu [CV] [Google Scholar] NEWS Mar. '18: Our MobiHoc '18 paper develops a novel coordination scheme to combat blockages in 60 GHz mmWave WLANs. Jul. '17: New SenSys paper proposes WiFi-assisted non-intrusive occupancy sensing for smart buildings and cities. Mar. '17: Our SECON '17 paper proposes acoustic communication for proximity sensing on wearable devices. Nov. '16: Our MotionSync work was a best paper award finalist at ACM BuildSys '16. Oct. '16: Paper accepted in ACM BuildSys '16 proposing the use of wearables and IoTs for personal energy analytics. Jul. '16: Our VLCS (MobiCom '16 workshop) paper proposes a hybrid WiFi-VLC network architecture using power lines. Apr. '16: Our work on contact-free vital sign monitoring using 60 GHz millimeter wave signals will appear in ACM MobiHoc 2016. Jan. '16: WiFi gait-based person identification research to appear in IEEE/ACM IPSN 2016. Dec. '15: Our ACM HotMobile 2016 paper uncovers privacy leakage in BLE traffic of wearable fitness trackers. SELECTED RECENT PUBLICATIONS mmChoir: Exploiting Joint Transmissions for Reliable 60GHz mmWave WLANs [PDF] , Ding Zhang, Mihir Garude and Parth H. Pathak, ACM MobiHoc 2018 (Acceptance rate = 17% (30/178)). WiFi-Assisted Non-Intrusive Multi-Modal Estimation of Building Occupancy [PDF] , Aveek K. Das, Parth H. Pathak, Josiah Jee, Chen-Nee Chuah and Prasant Mohapatra, ACM SenSys 2017. PCASA: Proximity based Continuous and Secure Authentication of Personal Wearable Devices [PDF] , Pengfei Hu, Parth H. Pathak, Yilin Shen, Hongxia Jin and Prasant Mohapatra, IEEE SECON 2017. Monitoring Vital Signs Using Millimeter Wave [PDF] , Zhicheng Yang, Parth H. Pathak, Yunze Zeng, Xixi Liran and Prasant Mohapatra, ACM MobiHoc 2016. MotionSync: Personal Energy Analytics through Motion Tags and Wearable Sensing [PDF] , Josiah Jee, Aveek Das, Parth H. Pathak, and Prasant Mohapatra, ACM BuildSys 2016. [Best Paper Finalist] PLiFi: Hybrid WiFi-VLC Networking using Power Lines [PDF] , Pengfei Hu, Parth H. Pathak, Aveek Das, Zhicheng Yang and Prasant Mohapatra, ACM VLCS 2016 (held with MobiCom 2016). WiWho: WiFi-based Person Identification in Smart Spaces [PDF] , Yunze Zeng, Parth H. Pathak and Prasant Mohapatra, ACM/IEEE IPSN 2016. Uncovering Privacy Leakage in BLE Network Traffic of Wearable Fitness Trackers [PDF] , Aveek Das, Parth H. Pathak, Chen-Nee Chuah and Prasant Mohapatra, ACM HotMobile 2016. ColorBars: Increasing Data Rate of LED-to-Camera Communication using Color Shift Keying [PDF] , Pengfei Hu, Parth H. Pathak, Xiaotao Feng, Hao Fu and Prasant Mohapatra, ACM CoNEXT 2015. Visible Light Communication, Networking and Sensing: A Survey, Potential and Challenges [PDF] , Parth H. Pathak, Xiaotao Feng, Pengfei Hu and Prasant Mohapatra, IEEE Communications Surveys and Tutorials (35 pages). Sensor-assisted Codebook-based Beamforming for Mobility Management in 60 GHz WLANs [PDF] , Zhicheng Yang, Parth H. Pathak, Yunze Zeng and Prasant Mohapatra, IEEE MASS 2015. Monitoring Building Door Events using Barometer Sensor in Smartphones [PDF] , Muchen Wu, Parth H. Pathak and Prasant Mohapatra, ACM UbiComp 2015. AccelWord: Energy Efficient Hotword Detection through Accelerometer [PDF] , Li Zhang, Parth H. Pathak, Muchen Wu, Yixin Zhao and Prasant Mohapatra, ACM Mobisys 2015. Finger-writing with Smartwatch: A Case for Finger and Hand Gesture Recognition using Smartwatch, Chao Xu, Parth H. Pathak and Prasant Mohapatra, Paper in ACM HotMobile 2015 [PDF] , Demo in ACM Mobisys 2015 [PDF] [Video] . Complete list of publications --> diff --git a/src/data/compiled_bios/1645.txt b/src/data/compiled_bios/1645.txt new file mode 100644 index 0000000000..327b4c6ca5 --- /dev/null +++ b/src/data/compiled_bios/1645.txt @@ -0,0 +1 @@ + DR. J. MARK PULLEN mpullen@gmu.edu EDUCATION D.Sc., Computer Science, The George Washington University, 1981. M.S., Electrical Engineering, West Virginia University, 1972. B.S., Electrical Engineering, West Virginia University, 1970. PRESENT POSITION Professor of Computer Science, George Mason University Director, Center of Excellence in Command, Control, Communications, Computing Intelligence, and Cyber (C4I and Cyber Center) Director, Networking and Simulation Laboratory, C4I & Cyber Center MAJOR RECOGNITIONS Elected Fellow of the IEEE for "technical leadership in computing systems and networking" Elected Fellow of the ACM for "contributions to information technology in transitioning the Internet from a Federal research project to commercial availability, and development of Internet distance education technologies" IEEE Harry Diamond Memorial Award for developments in networking for distributed simulation Licensed Professional Engineer in Virginia and West Virginia Defense Superior Service Medal for "achievements in computer systems, networking, and simulation" on retirement from military service EXPERIENCE 2002-present: Professor of Computer Science, George Mason University; also Director C4I Center from 2005. Teach graduate and undegraduate courses in computer networking and networked virtual environments; lead research teams in Web-based techniques for interoperability of military command and control systems with simulations and in multimedia networking including effective, affordable Internet distance education. Principal Investigator in multiple, multi-organization/multi-year projects in these areas. Projects include "Visible Embryo" project (sponsored by Nation al Library of Medicine) by eight nationally-recognized medical and information technology teams that demonstrated the feasibility of advanced medical collaboration using visualization over high-performance networks across the US; also the Extensible Modeling and Simulation Framework (XMSF) initiative (sponsored by Defense Modeling and Simulation Office) which led to use of Web technologies for interoperation of military simulation and C4I software systems; currently leader in Battle Management Language (BML) projects including Extensible BML, Joint BML, geoBML, and NATO Coalition BML and related SISO standards effort. Developed MIST/C open-source synchronous Internet distance education software and used it to provide online MS degree programs in Computer Science. Led C4I Center to tenfold growth in project funding. 1992-2001: Associate Professor of Computer Science and Director, Networking and Simulation Laboratory, George Mason University. Taught graduate and undegraduate courses in computer networking; performed research in protocols for application of high performance data networks, focus on network and higher layers to be used for multicast interconnection of distributed simulation. Active in Internet Engineering Task Force (IETF) work in multicasting technologies; developed Selectively Reliable Multicast Protocol specification and also a suite of models to simulate Quality of Service protocols for the Internet, recognized as one of two top academic projects for 1997 by developers of the OPNET modeling system; served as Principal Investigator leading an eight-member team of GMU faculty and subcontractors for the DARPA Computer Assisted Education and Training Initiative (CAETI) and the follow-on DoDEA Presidential Technology Initiative (PTI); 1995 recipient of IEEE Harry Diamond Memorial Award for developments in networking for distributed simulation. Developer of Network Workbench open source network simulation/educational software. Author of Understanding Internet Protocols. Served in 2000 as Vice President for Technology Policy Activities of IEEE-USA and in 2001 as General Chair of IEEE Distributed Simulation and Real time Applications Workshop. Elected Fellow of the ACM, 2001, for "contributions to information technology in transitioning the Internet from a Federal research project to commercial availability, and development of Internet distance education technologies." 1991-1992: Program Director, Distributed Simulation, Defense Advanced Research Projects Agency (DARPA). Responsible for program planning and execution in distributed warfighting simulation, a leading-edge activity designated "critical" by the Department of Defense that makes intensive use of computing and communications technologies, with budget of $40 million. Defined, justified, organized, and led advanced technology program to enable distributed simulation as a worldwide Department of Defense capability for readiness, systems acquisition, analysis, and military operations. Personally managed the development of the advanced multimedia worldwide data network and distributed system protocols required for this capability, as well as the Aggregate Level Simulation Protocol (ALSP) project that led to the DoD High Level Architecture (HLA) for modeling and simulation. Retired with rank of Lieutenant Colonel. Received Defense Superior Service Medal on retirement for "achievements in computer systems, networking, and simulation." 1989-1991: Deputy Director, DARPA Information Science and Technology Office and Tactical Technology Office. Responsible for administration in support of about twenty technical professionals working at the cutting edge of information technology. Personally managed programs in high definition imaging systems and advanced networking. Represented DARPA on the team that started the Federal High Performance Computing and Communications initiative. Responsible for transition of DARPA Internet program to private sector commercialization. Elected Fellow of the IEEE for technical leadership in computing systems and networking. 1986-1988: Program Manager for Advanced Computing and Networking, DARPA. Responsible for parallel computing and advanced networking. Built DARPA program that became the basis for much of the Federal High Performance Computing initiative. Leader in creating the Federal Networking Council and in developing plans for the National Research and Education Network that has today grown in concept to become the National Information Infrastructure (NII). Leader in founding the Committee for Coordination of Intercontinental Research Networks (CCIRN) that developed what has become worldwide Internet connectivity. 1985-1986: IEEE Congressional Fellow, U.S. Congressional Staff. Provided technical support for the Computer Security Act and authorizing legislation for the National Bureau of Standards, including pilot program enabling the flexible personnel management of government scientists and engineers. 1981-1985: Associate Professor, Department of Electrical Engineering, U.S. Military Academy, West Point, New York. Developed new course spearheading change to curriculum. Performed research in parallel computing, including cooperative program as part of the RP3 Project on-site at IBM T. J. Watson Laboratory, Yorktown Heights, New York. RESEARCH INTERESTS Networking and distributed multimedia computing and their application to distributed education and training. FULL ACADEMIC CURRICULUM VITAE SELECTED PUBLICATIONS Pullen, J., Enabling Military Coalition Command and Control with Interoperating Simulations, 5th International Conference on Simulation and Modeling Methodologies, Technologies and Applications, Colmar, France, August 2015 Clark, N., J. Pullen and C. Bashioum, An Experimental Project Course to Prepare Students for Agile Web Application Development, ACM SIGCSE Innovative Technology in Computer Science Education, Vilnius, Lithuania, July 2015 Pullen, J. and N. Clark, An Open Source Synchronous Online Distance Education System with Reduced Support Requirements, IADIS eSociety Conference, Madrid, Spain, February 2014 Pullen, J., D. Corner, R. Wittman, A. Brook, P. Gustavsson, U. Schade and T. Remmersmann, Multi-Schema and Multi-Server Advances for C2-Simulation Interoperation in MSG-085, NATO Modeling and Simulation Symposium 2013 Pullen, J., D. Corner, R. Wittman, A. Brook, O Mevassvik and A. Alstad, Technical and Operational Issues in Combining MSDL and C-BML Standards for C2-Simulation Interoperation in MSG-085, NATO Modeling and Simulation Group Annual Symposium, Stockholm, Sweden, October 2012 Pullen, J., Pros and Cons for Teaching Courses in the Classroom and Online Simultaneously, ACM SIGCSE Information Technology in Computer Science Education 2012, Haifa, Israel, July 2012 Pullen, J., D. Corner, P. McAndrews and L. Niklas, Services to Support Experimentation for Operational Use of Simulations in Coalition Command and Control, International Command and Control Research and Technology Symposium, Fairfax, VA, June 2012 Heffner, K. and J. Pullen, Effective Simulation Support for Operator Training in Unmanned Aircraft systems Development and Deployment, NATO Modeling and Simulation Group Annual Symposium, Berne, Switzerland, October 2011 Abbott, J., J. Pullen and S. Levine, Answering the Question: Why a BML Standard Has Taken So Long to be Established? IEEE Fall Simulation Interoperability Workshop, Orlando, FL, September 2011 (received best paper award) Pullen, J., L. Nicklas, T. Crawford, L. Demasi, and S. Levine, Investigating Contributions of the C2Core to Battle Management Language, IEEE Fall Simulation Interoperability Workshop, Orlando, FL, September 2011 Ababneh, M. and J. Pullen, An Open Source Graphical User Interface Surrogate C2 System for Battle Management Language Experimentation, International Command and Control Research and Technology Symposium, Quebec, Canada, June 2011 (nominated for best student paper) Pullen, J., M. Ababneh, S. Singapogu, R. Brown and V. Dobbs, A NATO OPORD Capability for BML, Proceedings of the IEEE Spring 2011 Simulation Interoperability Workshop, Boston, MA, April 2011 Heffner, K, J. Pullen and L. Khimeche, MSG-048 Technical Activity Experimentation to Evaluate Applicability of a Coalition Battle Management Language in NATO, NATO Modeling and Simulation Group Annual Symposium, Utrecht, Netherlands, September 2010 Pullen, J.M. et al., An Expanded C2-Simulation Experimental Environment Based on BML, Proceedings of the IEEE Spring 2010 Simulation Interoperability Workshop, Orlando, FL, April 2010 Pullen, J.M. and K. Heffner, Supporting Coalition Battle Management Language Experiments with Scripted Web Services, NATO Modeling and Simulation Group Annual Symposium, Brussels, Belgium, October 2009 Pullen, J.M., D. Corner and S. Singapogu, Scripted Battle Management Language 2 Operation and Mapping Description Language, Proceedings of the IEEE Fall 2009 Simulation Interoperability Workshop, Orlando, FL, September 2009 Pullen, J.M., D. Corner, S. Singapogu and P. McAndrews, Interpreted Web Services as a Tool for Development of Command and Control Interoperability with Simulations, Proceedings of the IEEE Distributed Simulation and Real Time Applications Symposium, Singapore, October 2009 Pullen, J.M. and J. Chen, Distributed Application Launching for High Quality Graphics in Synchronous Distance Education, ACM Special Interest Group on Computer Science Education (SIGCSE) Bulletin, Vol 40 No. 3, pp 204-208, 2008 Pullen, J.M. and C. Snow, Integrating Synchronous and Asynchronous Internet Distributed Education for Maximum Effectiveness, Educational and Information Technologies (2007), pp 137-148, Springer, New York NY Pullen, J., K. Makenini and P. McAndrews, A Grammar-Based Web Service Enabling Multi-domain Distributed Interoperation of Command/Control and Simulation Systems, Proceedings of the IEEE Distributed Simulation and Real Time Applications Symposium Chania Greece, October 2007 Pullen, J., M. Hieb, L. Khimeche, M. Powers, and K. Galvin, Evaluating the Proposed Coalition Battle Management Language Standard as a Basis for Enhanced C2 to M&S Interoperability, NATO Modeling and Simulation Group Annual Symposium, Prague, Czech Republic, October 2007, won best paper award Hieb, M., M. Nielsen, K. Pedersen, M. Powers, J. Pullen and D. Swann, A Standards-Based Framework for Integrating Command and Control Systems, Geospatial Information Systems and Simulations: Generating Actionable Geospatial Information, Proceedings of the IEEE Euro-Simulation Interoperability Workshop, Genoa, Italy, June 2007, won best paper award Snow, C., J.M. Pullen and P. McAndrews, An Open-Source Web-Based System for Synchronous Distance Education, IEEE Transactions on Education, Vol.48 No. 4, pp 705-712 Pullen, J., M. Hieb, W. Sudnikovich, and P. de Champs, An International Experiment in Command and Control - Simulation Interoperability Using Web Services, Proceedings of the IEEE Distributed Simulation and Real Time Applications Symposium, pp 235-241, Torremolinos, Spain, October 2006 Pullen, J. and P. McAndrews, Low-Cost Internet Synchronous Distance Education Using Open-Source Software, ASEE Computers in Education Journal, Vol 25 No 5, 2005 Pullen, J., R. Simon and P. McAndrews, An Online Graduate Computer Science Program Delivered Via Simulteaching, Advanced Technology for Learning Vol 2 No 3 pp 148-155, 2005, ACTA Press, Calgary AB Pullen, J.M., and P. McAndrews, A Web Portal for Open-Source Synchronous Distance Education, Advanced Technology for Learning Vol 2 No 1 pp 9-15, 2005, ACTA Press, Calgary AB Pullen, J.M., R. Brunton, D. Brutzman, David Drake, Michael Hieb, K. Morse, and A. Tolk, Using Web Services to Integrate Heterogeneous Simulations in a Grid Environment, Future Generation Computer Systems Vol 21 No 1 pp 97-106, 2005, Elsevier Sudnikovich, W., M. Kleiner, S. Carey, and J.M. Pullen, Extensible Battle Management Language as a Transformation Enabler, SIMULATION: Transactions of the Society for Modeling and Simulation International Vol 80 No 12 pp 669-680, special issue on Military Simulation Systems and Command and Control Systems Interoperability, December 2004 Moen, D., J.M. Pullen, and F. Zhao, Implementation of Host-based Overlay Multicast to Support Web Based Services for RT-DVS, Proceedings of the IEEE Distributed Simulation and Real Time Applications Workshop, Budapest, Hungary, October 2004 Pullen, J., R. Brunton, D. Brutzman, David Drake, Michael Hieb, K. Morse, and A. Tolk, Using Web Services to Integrate Heterogeneous Simulations in a Grid Environment, Proceedings of the International Conference on Computational Science 2004, Krakow, Poland, June 2004 (invited paper) Moen, D. and J.M. Pullen, Enabling Real-Time Distributed Virtual Simulation over the Internet Using Host-based Overlay Multicast, Proceedings of the IEEE Distributed Simulation and Real Time Applications Workshop, Delft, Netherlands, October 2003 Pullen, J.M., A Software System for Cost-Effective Internet Delivery of Synchronous Distance Education, Proceedings of IASTED International Conference on Computers and Advanced Technology in Education 2003, IASTED, Calgary, AB, June 2003 Brutzman, D., K. Morse, J. M. Pullen and M. Zyda, Extensible Modeling and Simulation Framework (XMSF): Challenges for Web-Based Modeling and Simulation, Naval Postgraduate School, Monterey, CA, 2002 Pullen, J.M., "The Network Workbench and Constructivism: Learning Protocols By Programming," Computer Science Education Vol 11 No 1 pp 1-14, September 2001 Pullen, J. M., "The Internet Lecture: Converging Teaching and Technology," ACM Special Interest Group on Computer Science Education (SIGCSE) Bulletin , September 2000 Pullen, J., "The Network Workbench: Network Simulation Software for Academic Investigation of Internet Concepts," Computer Networks Vol 32 No 3 pp 365-378, March 2000 Pullen, J.M. and M. Benson, "ClassWise: Synchronous Internet Desktop Education," November 1999 special multimedia issue of IEEE Transactions on Education Pullen, J.M., M. Myjak, and C. Bouwens, "Limitations of Internet Protocol Suite for Distributed Simulation in the Large Multicast Environment," Internet Engineering Task Force Informational RFC 2502, Internet Society, 1999 Pullen, J.M., L. Lavu, R. Malghan, G. Duan, J. Ma and H. Nah "A Simulation Model for IP Multicast with RSVP," Internet Engineering Task Force Informational RFC 2490, Internet Society, 1999 Pullen, J.M. and H. Nah, "A Multi-User Virtual Environment With Extensible User-Friendly Web-Based Interfaces", Proceedings of the 1999 Western Simulation Multi-Conference, Society for Computer Simulation, San Diego, CA, January 1999 Pullen, J., "Synchronous Distance Education and the Internet", Internet Society Annual Conference 1998, Geneva, Switzerland, July 1998 Pullen, J.M., "Network Issues in Distributed Simulation," Chapter 17 in Applied Modeling and Simulation: An Integrated Approach to Development and Operation, D. Cloud and L. Rainey, eds., McGraw-Hill, 1998 Bordeaux, A., D. Sprague, J. M. Pullen and D. Sterling, "Taming the Electronic Frontier: A Distance Education Course for Defense Dependents School Teachers," The Journal of Computing in Teacher Education , Vol. 14 No. 3, Spring 1998 Pullen, J. and E. Norris, "Using A Multi-User Virtual Environment As A Synchronous Teaching Tool," Western Simulation Multi-Conference, San Diego, CA, January 1998 Pullen, J. and V. Laviano, "Adding Congestion Control to the Selectively Reliable Transmission Protocol for Large Scale Distributed Simulation", Simulation Interoperability Workshop, Orlando FL, September 1997 Pullen, J., M. Moreau and V, Laviano, "Creating A Light-Weight RTI As an Evolution of Dual-Mode Multicast Using Selectively Reliable Transmission" Simulation Interoperability Workshop, Orlando FL, September 1997 Pullen, J. Mark, "Synchronous Distance Education Via the Internet", IEEE/ASEE Frontiers in Education '96, Salt Lake City UT, November 1996 Pullen, J. Mark and David Wood. "Networking Technology and DIS," Proceedings of the IEEE (Aug. 1995). Pullen, J. Mark and Vincent Laviano. "A Selectively Reliable Transport Protocol for Distributed Interactive Simulation," Distributed Interaction Simulation Workshop, Orlando, Florida, Sept. 1995. Pullen, J. Mark and E. White. "Analysis of Dual-Mode Multicast for Large-Scale DIS Exercises," Distributed Interaction Simulation Workshop, Orlando, Florida, Sept. 1995. Pullen, J. Mark. "Rapid System Virtual Prototyping and the Information Superhighway," Johns Hopkins University/IEEE Computer Society Advanced Technology Symposium, Baltimore, 1994. Symington, Susan, J. Mark Pullen and David Wood. "Modeling and Simulation Requirements for IPng," Internet Engineering Task Force RFC 1667 , Aug. 1994. Hieb, M.R., G. Tecuci, J.M. Pullen and D. Hille. "Building Adaptive Autonomous Agents for Adversarial Domains," AAAI 1994 Fall Symposium , New Orleans, 1994. Pullen, J. Mark. "Networking for Distributed Virtual Simulation," Joint European Networking/ Internet Society Conference, Prague, 1994. Pullen, J. Mark. "DSI Strategic Planning: Multicast Protocol Selection," white paper for Defense Information Systems Agency/Advanced Research Projects Agency panel on protocols for the Defense Simulation Internet (DSI), Dec. 1993. Pullen, J. Mark, Danny Cohen, and David Wood. "Emerging Technologies: National/Defense Information Infrastructure and the Defense Information Systems Network," IEEE Military Communications Conference, Bedford, Massachusetts, 1993. Pullen, J. Mark and J. N. Entzminger. "Applications of Networking Technology in Computer-Assisted Exercises," IEEE Military Communications Conference, McLean, Virginia, 1991. Pullen, J. Mark. "The Federal High Performance Computing Program," Executive Office of the President, Office of Science and Technology Policy, Sept. 8, 1989 (member of primary drafting team; primary drafter of chapter on the National Research and Education Network). diff --git a/src/data/compiled_bios/1646.txt b/src/data/compiled_bios/1646.txt new file mode 100644 index 0000000000..db7521d405 --- /dev/null +++ b/src/data/compiled_bios/1646.txt @@ -0,0 +1 @@ + Toggle navigation Toggle navigation Home News Publications Students Ph.D. Students M.S. Students Undergraduates Alumni Projects Biological Data Mining Learning Analytics Cyber-Physical Sciences (CPS) Other Reading Group Teaching Current CS 795: Deep Learning (Spring 2019) Archived CS 484: Data Mining (Fall 2018) CS 465: Computer Systems Architecture (Spring 2018) CS 484: Data Mining (Fall 2017) CS 367: Computer Systems Programming (Spring 2017) CS 584: Data Mining (Fall 2016) Software Service Contact Huzefa Rangwala Ph.D., Univ. of Minnesota - Twin Cities, USA Professor Department of Computer Science George Mason University Fairfax, VA 22030, USA Tel: +1 (703)-993-3826 Email: 'rangwala', @ 'cs.gmu.edu' Directions: Google Maps News Items Welcoming 7 undergraduates across the country and 4 from local to our first NSF Sponsored Educational Data Mining REU Site. Qian is off to do a summer internship at Facebook in Seattle, WA. Zhiyun is off to do a summer internship at Adobe, Inc in San Jose, CA. Demo Paper on Trajectory Mining and Visualization Accepted at ECML-PKDD 2017. Zhiyun to present paper at EDM 2017 in Wuhan, China. Huzefa to present tutorial at KDD 2017 in Halifax, Canada Paper accepted at ACM RecSys 2017. Huzefa leads Roundtable discussion at Cyber Learning Conference 2017. Huzefa presents tutorial at SIAM Data Mining 2017 on Educational Mining. Congratulations to Azad for defending his Ph.D. Accepted KDD 2016 Research Paper in Collaboration with DAC, Virginia Tech. University Anveshi Charuvaka wins the Outstanding Graduate Student Award for his thesis in 2015. Azad and Huzefa are presenting a tutorial at SIAM SDM 2016 Undergraduate Ananya wins OSCAR Student Excellence Award Azad is awarded the Summer Graduate Fellowship I am a Professor of Computer Science at George Mason University . I am affilated with the Bioengineering and Bioinformatics Department at George Mason University. I graduated with a Ph.D. (2008) and M.S. (2005) in Computer Science from the University of Minnesota, Twin Cities (USA) and a B.S. in Computer Engineering from the Veermata Jijabai Technological Institute (2003) in Mumbai, India. I was a Visiting Faculty at the Discovery Analytics Center of Virginia Tech. University , in Artlington, VA, USA (2015-2016). Research Interests My research interests include Data Mining and Machine Learning involving fundamental contributions in the areas of (i) Multi-Task and Transfer Learning (ii) Hierarchical Classification and (iii) Recommender Systems with applications in three broad areas: (i) Biomedical Informatics (ii) Educational Data Mining and (iii) Social Network Analysis My group's focus is on development of novel algorithms, and engineering of effective solutions for real world applications. My research has resulted in development in useful and efficient software that aid inter-disciplinary researchers to make key discoveries, while also producing contributions that have advanced the field of computer science. See our Projects page for details on current and prior projects. Research contributions are possible due to funding by (i) National Science Foundation (NSF) (ii) Navy Research Laboratory (NRL) (iii) National Institutes of Health (NIH) (iv) Defense Advanced Research Projects Agency (DARPA) (v) U.S. Department of Agriculture (USDA) and (vi) Google, Inc. diff --git a/src/data/compiled_bios/1647.txt b/src/data/compiled_bios/1647.txt new file mode 100644 index 0000000000..7db1e7a803 --- /dev/null +++ b/src/data/compiled_bios/1647.txt @@ -0,0 +1 @@ + Richards, Dana Office: 425 ST II E-mail: richards@cs.gmu.edu Phone: x1545 Research Interests: Comparisons of protein sequences Steimer tree algorithms Information dissemination in networks Parallel heuristics and methodology for computationally intractable problems Parallel algorithms for median filters Biosketch: Dana Richards received the Certificate of Intermediate Honors and the M.S. from the University of Virginia in 1976 and the Ph.D. from the University of Illinois in 1984, all in computer science. He has been a programmer for Comress, Inc., and Assistant Professor of Computer Science at the University of Virginia, and most recently a Program Director of Theory of Computing at the National Science Foundation. He has written or edited three books and numerous journal articles. In addition, he is a reviewer for many journals, and he has received numerous research awards. His research interest include comparisons of protein sequences, steimer tree algorithms, information dissemination in networks, parallel heuristics and methodology for computationally intractable problems, and parallel algorithms for median filters . Dr. Richards joined the faculty of George Mason University in the Fall of 1994 as an Associate Professor of Computer Science. diff --git a/src/data/compiled_bios/1648.txt b/src/data/compiled_bios/1648.txt new file mode 100644 index 0000000000..74dfa5f601 --- /dev/null +++ b/src/data/compiled_bios/1648.txt @@ -0,0 +1 @@ + Katherine (raven) Russell Contact: krusselc@gmu.edu Course Specific Subpages: CS Capstone CS583 Help Page Publications: Selected Listing Education: PhD in Computer Science, GMU (In Progress) MS in Computer Science (4.0), GMU (2011) BS in Computer Science (Cum Laude), UMUC (2007) AA in General Studies (Summa Cum Laude), AACC (2004) Teaching Experience (Instructor): CS490. Design Exhibition CS390. Research and Project Design Principles in Computing CS321. Software Engineering CS211. Introduction to Object Oriented Programming INFS 519. Program Design and Data Structures Teaching Experience (Graduate Teaching Assistant): CS211. Introduction to Object Oriented Programming INFS 519. Program Design and Data Structures CS 101. Preview of Computer Science CS 483/583. Analysis of Algorithms (Undergrad/Grad) CS 262. Introduction to Low-Level Programming SWE 432. Design and Imp. of Software for the Web Outstanding Graduate Teaching Award, GMU CS Department (2013) Distinguished Graduate Teaching Award, GMU CS Department (2012) Cool Stuff I Do/Did: Kendo (2004-Present) GMU's Robocup team (2010-12) Worked as a freelance web developer (2004-10) Ran a Japanese language club (2005-09) Took classes in massage therapy (2004-05) Volunteered at The Book Thing of Baltimore (2003-04) Worked at the SPCA of Anne Arundel County (2001) Volunteered on Delawares Tall Ship (2000-01) diff --git a/src/data/compiled_bios/1649.txt b/src/data/compiled_bios/1649.txt new file mode 100644 index 0000000000..c097e3d230 --- /dev/null +++ b/src/data/compiled_bios/1649.txt @@ -0,0 +1 @@ + Sanjeev Setia Professor & Chair Department of Computer Science George Mason University Contact Info: Email: setia at gmu dot edu US mail: Department of Computer Science George Mason University 4400 University Drive Fairfax, VA 22030-4444 On foot: Room 4300, Engineering Building Admin : Michele Pieper (mpieper at gmu dot edu) Phone: 703-993-1530 Office Hours (Fall 2018): Thursday 2-3 PM or by appointment Teaching Fall 2018: CS 700 (Research Methodology in CS) Archived Courses Research Interests: Wireless Sensor Networks, Security of Sensor Networks and MANETs, Distributed Systems Publications ( Google Scholar , DBLP ) Students diff --git a/src/data/compiled_bios/165.txt b/src/data/compiled_bios/165.txt new file mode 100644 index 0000000000..edec6ed9f6 --- /dev/null +++ b/src/data/compiled_bios/165.txt @@ -0,0 +1 @@ + Orsborn Lab Menu Learning Engineers We work at the intersection of engineering and neuroscience to develop therapeutic neural interfaces. University of Washington, Departments of Electrical Engineering and Bioengineering. About The gist Research The work Publications The papers Team The people Positions The opportunities Contact The info Twitter Instagram GitHub Email Amy L. Orsborn. All rights reserved Design: HTML5 UP Menu Home About Research Publications Team Positions Contact Close diff --git a/src/data/compiled_bios/1650.txt b/src/data/compiled_bios/1650.txt new file mode 100644 index 0000000000..b4c99f3b13 --- /dev/null +++ b/src/data/compiled_bios/1650.txt @@ -0,0 +1 @@ + Welcome to the Shehu Laboratory Home Publications Research Tools Funding Teaching Service Members Meetings Research in the Shehu Lab Our laboratory focuses on developing novel algorithms to bridge between computer science, engineering, and the life sciences. Our research emphasis is on problem solving, search, optimization, planning, and machine learning to simulate, analyze, and characterize complex dynamic systems operating in the presence of constraints . Our application domains are diverse, spanning from bioinformatics and computational biology, to human-computer interaction and computer-aided engineering design. Highlight: Computational Structural Biology Research Our YouTube Presence Research Highlights CS 485 Fall 2018 CS 689 Spring 2018 CS 485 Fall 2016 CS689 Spring 2016 CS 689 Spring 2014 CS 485 Fall 2013 CS 689 Spring 2012 Positions available Postdoctoral Fellows Graduate Students Undergraduate Students High-school Students News Amarda writes her first-ever blog PLOS CB paper is out Irina defends Ph.D. Amarda featured in Mason Spirit magazine more Journal Articles Role of Loop-Clamping Side Chains in Catalysis by Triosephosphate Isomerase Selective Silylative Reduction of Pyridines Leading to Structurally Diverse Azacyclic Compounds with the Formation of sp3 CSi Bonds CarbohydrateAromatic Interactions in Proteins more Copyright (c) 2009 Amarda Shehu. All rights reserved. Designed by Brian Olson diff --git a/src/data/compiled_bios/1651.txt b/src/data/compiled_bios/1651.txt new file mode 100644 index 0000000000..f816d47d3a --- /dev/null +++ b/src/data/compiled_bios/1651.txt @@ -0,0 +1 @@ + Robert Simon Professor Department of Computer Science George Mason University Contact Information: Office: Room 5322, Engineering Building Directions: Map and parking info Email: simon AT gmu dot edu Phone: 703-993-1556 Departmental Fax: 703-993-1710 By Mail: Department of Computer Science MSN 4A5 George Mason University 4400 University Drive Fairfax, VA 22030-4444 Office hours for Spring 2019: Thursdays 2 to 3 pm, or by appointment Brief Bio Dr. Robert Simon received his Ph.D. in Computer Science from the University of Pittsburgh. He also has a B.A. in History and Political Science from the University of Rochester. His research specialization is in the field of networks, mobile and wireless computing, performance modeling and simulation. He teaches undergraduate and graduate courses courses in these areas. Spring 2019 Teaching CS 471 Operating Systems. Current Research Areas: Wireless Sensor Networks Mobile Ad Hoc and Delay Tolerant Networking Performance Analysis Sensor Network and Robotic Cooperation Publications Graduate Students diff --git a/src/data/compiled_bios/1652.txt b/src/data/compiled_bios/1652.txt new file mode 100644 index 0000000000..f74f6ec994 --- /dev/null +++ b/src/data/compiled_bios/1652.txt @@ -0,0 +1 @@ + Home Publications Teaching CV(pdf) Music Mark H. Snyder Contact Information Mark Snyder ENGR 5346 Department of Computer Science George Mason University 4400 University Drive Fairfax, VA 22030 marks at cs dot gmu dot edu Education I earned my PhD in Computer Science at the University of Kansas in July 2011, and earned my master's degree there in 2007. I earned my bachelor's degree in computer science at the University of North Carolina at Chapel Hill in 2004 with a minor in Mathematics. My Career I am a term assistant professor at George Mason University. I am excited to be teaching introductory programming (CS 1), as well as introductory systems materials to upperclassmen. Soon I will also begin teaching a languages survey course, too, where I believe I would feel most at home with the materials. Research Interests I am interested in language interpretation, type-driven language specifiation, language semantics, type systems, domain specific languages, compilation and systems level design. diff --git a/src/data/compiled_bios/1653.txt b/src/data/compiled_bios/1653.txt new file mode 100644 index 0000000000..29ee456286 --- /dev/null +++ b/src/data/compiled_bios/1653.txt @@ -0,0 +1 @@ + Arun K. Sood Professor(Computer Science) & Co-Director, International Cyber Center Volgenau School of Information Technology & Engineering George Mason University 4400 University Drive Fairfax, Va. 22030 703-993-one five two four(voice-direct) 703-993-1530(voice-CS dept) 703-993-1710(fax) asood (at) gmu (dot) edu Areas of Interest Subjects Taught Research Contracts and Grants Ph.D. Dissertations Supervised Publications List Industrial Consulting Curriculum Vitae(pdf) International Cyber Center Papers - Distributed Multimedia Papers - Self Cleansing Intrusion Tolerance CV updated March 2014 Department of Computer Science > diff --git a/src/data/compiled_bios/1654.txt b/src/data/compiled_bios/1654.txt new file mode 100644 index 0000000000..3e8c119686 --- /dev/null +++ b/src/data/compiled_bios/1654.txt @@ -0,0 +1 @@ + Shvetha Soundararajan I am a Term Assistant Professor in the Department of Computer Science at George Mason University . I graduated with a PhD in Computer Science from Virginia Tech in 2013. I am passionate about teaching and find it very rewarding. I am currently teaching CS 321: Software Engineering and CS 211: Object-Oriented Programming. Term Assistant Professor Department of Computer Science George Mason University Office: Engineering 4436 Email: shvetha at gmu dot edu Phone: 703-993-6219 diff --git a/src/data/compiled_bios/1655.txt b/src/data/compiled_bios/1655.txt new file mode 100644 index 0000000000..ef6e303e62 --- /dev/null +++ b/src/data/compiled_bios/1655.txt @@ -0,0 +1 @@ + Home CV (HTML) Publications Research Teaching Contact Angelos Stavrou Computer Science Department Volgenau School of Engineering George Mason University My research is focused on the following areas : Large Systems Security & Survivability Intrusion Detection Systems Privacy and Anonymity Security for MANETs and Mobile Devices FALL 2018: ISA 673 Operating Systems Security Selected Recent Publications - Full List: [ DBLP ] [ Google Scholar ] On Early Detection of Application-level Resource Exhaustion and Starvation Mohamed Elsabagh, Daniel Barbara, Dan Fleck, Angelos Stavrou. On the Elsevier Journal of Systems and Software 137: 430-447 ( 2018 ) End Users Get Maneuvered: Empirical Analysis of Redirection Hijacking in Content Delivery Networks Shuai Hao, Yubao Zhang and Haining Wang, Angelos Stavrou In the proceeding of the 27th Usenix Security Symposium, (Usenix Security 2018) August 15-17, 2018, Baltimore, MD, USA Towards Transparent Debugging Fengwei Zhang , Kevin Leach , Angelos Stavrou , Haining Wang IEEE Trans. Dependable Sec. Comput. 15 ( 2 ) : 321-335 ( IEEE TDSC 2018 ) Dazed Droids: A Longitudinal Study of Android Inter-App Vulnerabilities Ryan Johnson, Mohamed Elsabagh, Angelos Stavrou, and Jeff Offutt In the Proceedings of ACM Asia Conference on Computer & Communications Security 2018, ( ASIACCS 2018 ), June 4 - 8, 2018, Sogdo, Incheon, Korea The Mirai Botnet and the IoT Zombie Armies Georgios Kambourakis, Constantinos Kolias, and Angelos Stavrou In the Proceedings of the IEEE Military Communications Conference (MILCOM 2017) October 23 -25, 2017, Baltimore, MD, USA. Preliminary Study of Fission Defenses Against Low-Volume DoS Attacks on Proxied Multiserver Systems Yuquan Shan, George Kesidis, Dan Fleck, Angelos Stavrou Malware Conference (MALCON 2017) Practical and Accurate Runtime Application Protection against DoS Attacks Mohamed Elsabagh, Dan Fleck, Angelos Stavrou, Michael Kaplan, Thomas Bowen In the Proceedings of 20th International Symposium on Research on Attacks, Intrusions and Defenses (RAID 2017). September 18-20, 2017, Atlanta, Georgia, USA. DDoS in the IoT: Mirai and Other Botnets Constantinos Kolias, Georgios Kambourakis, Angelos Stavrou, Jeffrey M. Voas IEEE Computer 50(7): 80-84 (2017) Verified Time Angelos Stavrou, Jeffrey M. Voas. IEEE Computer 50(3): 78-82 (2017) Breaking BLE Beacons For Fun But Mostly Profit Constantinos Kolias, Lucas Copi, Fengwei Zhang, Angelos Stavrou EUROSEC 2017: 4:1-4:6 E-Android: A New Energy Profiling Tool for Smartphones Xing Gao, Dachuan Liu, Daiping Liu, Haining Wang, Angelos Stavrou In the proceedings of the the 37th IEEE International Conference on Distributed Computing Systems (ICDCS 2017), June 5-8, 2017, Atlanta, Georgia, USA. (Acceptance Rate: 16.9%, 90/531) Detecting Passive Cheats in Online Games via Performance-Skillfulness Inconsistency Daiping Liu, Xing Gao, Mingwei Zhang, Haining Wang, Angelos Stavrou In the proceedings of the 47th IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2017), June 26-29, 2017, Denver, Colorado, USA. (Acceptance Rate: 22.3%, 49/220) Strict Virtual Call Integrity Checking for C++ Binaries ( Distinguished paper award ) Mohamed Elsabagh, Dan Fleck, Angelos Stavrou. In the Proceedings of the ACM Asia Conference on Computer and Communications Security (ASIACCS) 2017, April 2-6, 2017 Abu Dhabi, UAE (Acceptance Rate: 18.7%, 67/359) An Empirical Investigation of Ecommerce-Reputation-Escalation-as-a-Service Haitao Xu, Daiping Liu, Haining Wang, Angelos Stavrou . ACM Transactions on the Web, Volume 11, Number 2, May 2017 (pages 13:1-13:35) Detecting ROP with Statistical Learning of Program Characteristics ( short paper ) Mohamed Elsabagh, Dan Fleck, Angelos Stavrou In the proceedings of the 7th ACM Conference on Data and Application and Privacy (CODASPY 2017), March 22-24, 2017, Scottsdale, Arizona, USA. Recent Professional Activities: Founder & CEO Kryptowire LLC ( http://www.kryptowire.com ) Editorial Positions, Panels, and Boards IEEE Transactions on Reliabilit y, September 2015 - Present. IET Journal on Information Security , May 2010 - Present. Encyclopedia of Cryptography and Security , Editorial Board Member, March 2010 - Present. Program Organization: Program co-Chair, Eurosec 2017, 2018 Program co-Chair, Research in Attacks, Intrusions and Defenses (RAID) Symposium, RAID 2013 , 2014 Program co-Chair, Research in Attacks, Intrusions and Defenses (RAID) Symposium, RAID 2013 , 2014 Student Travel Grant Chair, ACM Conference on Computer and Communications Security (CCS), 2009 , 2010 Program co-Chair, Workshop on Cyber Security Experimentation and Test (CSET): 2009, 2010 Program co-Chair, 1st Workshop on Virtual Machine Security (VMSec): 2008 , 2009 Program Committee Member (Selected): IEEE MILCOM (Track 3): 2016, 2017, 2018 IEEE International Conference on Software Quality, Reliability and Security: 2016 Recent Advances in Intrusion Detection (RAID): 2011 , 2012 IEEE Symposium on Security and Privacy (IEEE S&P): 2010, 2011 , 2012 ACM Conference on Computer and Communications Security (CCS): 2009 , 2010 Annual Computer Security Applications Conference (ACSAC): 2009, 2010, 2011, 2012, 2013 USENIX Security Symposium: 2007, 2008 , 2009 Network and Distributed System Security Symposium (NDSS): 2009, 2010 International Conference on Distributed Computing Systems (ICDCS): 2009, 2010 , 2011, 2012 , 2013 25th ACM Symposium On Applied Computing (SAC): 2010 Financial Cryptography and Data Security: 2010, 2011, 2012 USENIX Security Symposium: 2007, 2008 , 2009 International ICST Conference on Security and Privacy in Communication Networks (SecureComm), 2009, 2010, 2011 European Workshop on System Security (EUROSEC): 2008 , 2009, 2010, 2011 IEEE Symposium on Policies for Distributed Systems & Networks, POLICY 2010, 2011 , 2012 Thesis: " An Overlay Architecture for End-to-End Service Availability " (awarded with distinction)[ Slides ] Home - Publications - Teaching - CV - Contact Last updated: 08/25/2018 20:21:23 Please feel free to send your comments and suggestions to Angelos Stavrou. 2018 Angelos Stavrou, Computer Science Department, George Mason University. diff --git a/src/data/compiled_bios/1656.txt b/src/data/compiled_bios/1656.txt new file mode 100644 index 0000000000..0a7d6d7250 --- /dev/null +++ b/src/data/compiled_bios/1656.txt @@ -0,0 +1 @@ + Learning Agents Center George Mason University Search: Learning Agents Center Home News Publications Members Projects Sponsors Links Directions Dr. Gheorghe Tecuci Professor of Computer Science and Director of the Learning Agents Center MSN 6B3, Learning Agents Center, Long and Kimmy Nguyen Engineering Building, Room 4613 The Volgenau School of Engineering George Mason University, Fairfax, VA 22030 Email: tecuci at gmu dot edu Tel: (703) 993-1722 Web: http://lac.gmu.edu Teaching and Research Interests: Artificial Intelligence, Instructable Agents, Knowledge Engineering, Machine Learning, Knowledge Acquisition, Evidence-Based Reasoning, Intelligence Analysis, Semantic Web, Cognitive Assistants, Expert Systems, Intelligent Tutoring Systems. Education: Gheorghe Tecuci received his M.S. degree in Computer Science from the Polytechnic Institute of Bucharest in 1979, graduating first among all the Computer Science students at the Polytechnic Universities of Romania. He received two Ph.D. degrees in Computer Science, one from the University of Paris-South, in July 1988, and the other one from the Polytechnic Institute of Bucharest, in December 1988. Positions: Between 1979 and 1989 Dr. Tecuci was a researcher at the Romanian Institute for Informatics. He joined the faculty of George Mason University in 1990 as an Assistant Professor, became Associate Professor in 1993, and Professor in 1996. Between 1994 and 1999, Dr. Tecuci was also Coordinating director of the Center for Machine Learning, Natural Language Processing and Conceptual Modeling of the Romanian Academy. In 1995 he established the Learning Agent Laboratory at George Mason University which became Learning Agents Center in 2004. He was Chair of Artificial Intelligence at the US Army War College between 2001 and 2003, and visiting professor between 2001 and 2011. Research Contributions: Dr. Tecuci has published over 200 papers ( http://lac.gmu.edu/publications/ ), contributing to new research directions in artificial intelligence, including: Multistrategy Learning ( Disciple: A Theory, Methodology and System for Learning Expert Knowledge , Universite de Paris-Sud, 1988; Special Issue of Informatica on Multistrategy Learning, Informatika, 1993; Proceedings of the First and of the Second International Workshops on Multistrategy Learning, GMU Center for Artificial Intelligence, 1991, 1993; Multistrategy Learning, Morgan Kaufmann, 1994, the last three in collaboration with Ryszard Michalski) Integration of Machine Learning and Knowledge Acquisition ( Special Issue of the Knowledge Acquisition Journal on the Integration of Machine Learning and Knowledge Acquisition , Academic Press, 1994, in colab.; Machine Learning and Knowledge Acquisition: Integrated Approaches , Academic Press, 1995, in collaboration with Yves Kodratoff) Instructable Agents ( Building Intelligent Agents: An Apprenticeship Multistrategy Learning Theory, Methodology, Tool and Case Studies , Academic Press, 1998) Mixed-Initiative Reasoning ( Special Issue of the AI Magazine on Mixed-Initiative Assistants , AAAI Press, 2007, in collaboration with Mihai Boicu and Michael Cox) Center of Gravity Analysis ( Agent-Assisted Center of Gravity Analysis , George Mason University Press, 2008, in collaboration with Mihai Boicu and Jerome Comello) Knowledge Engineering and Cognitive Assistants ( Knowledge Engineering: Building Cognitive Assistants for Evidence-based Reasoning , Cambridge University Press, 2016, in collaboration with Dorin Marcu, Mihai Boicu and David Schum) Evidence-Based Reasoning and Intelligence Analysis ( Intelligence Analysis as Discovery of Evidence, Hypotheses, and Arguments: Connecting the Dots , Cambridge University Press, 2016, in collaboration with David Schum, Dorin Marcu, and Mihai Boicu) Dr. Tecuci has followed a career-long interest in the creation of a computational theory and technology for the development of instructable cognitive assistants that enable a seamless synergistic integration of the complementary reasoning abilities of humans and computers. These software agents can learn complex problem-solving expertise directly from human experts, can support experts and non-experts in problem solving and decision making, and can teach their problem-solving expertise to students. Together with his students and collaborators, especially Mihai Boicu and Dorin Marcu, he has continuously developed this approach to agent development, called the Disciple approach. More recently, with the additional contribution of David Schum, the Disciple approach he has extended with a computational theory of evidence-based reasoning. Thus, when a Disciple agent is taught by a human expert, it already has with a significant amount of general knowledge about evidence and its credentials. This agent theory and technology contributes to a new revolution in computer science by enabling typical computer users to develop cognitive assistants that incorporate their expertise and help them cope with the challenges of an increasingly complex knowledge society. Agent Development and Applications: With Mihai Boicu and Dorin Marcu, as well as his students, Dr. Tecuci has successfully employed the Disciple approach to develop and apply knowledge-based agents for a wide variety of domains, including: Disciple-EBR is a general learning agent shell for evidence-based reasoning that consists of a suite of software tools for the development of specialized Disciple knowledge-based intelligent agents for a wide variety of domains that require evidence-based reasoning, such as cybersecurity, intelligence analysis, medicine, forensics, law, natural and social sciences, and many others. It includes modules for problem solving, learning, tutoring, evidence-based reasoning, mixed-initiative interaction, as well as a hierarchically organized knowledge base with domain-independent knowledge for evidence-based reasoning at the top of the knowledge hierarchy. A version of this shell is distributed with the book by Tecuci G., Marcu D., Boicu M., Schum D.A., Knowledge Engineering: Building Cognitive Assistants for Evidence-based Reasoning , Cambridge University Press, 2016. Disciple-COG is a learning and decision-support agent for military center of gravity determination. This software system has been used by high-ranking military officers in courses at the U.S. Army War College, the Air War College, George Mason University, and others. The most recent version of it is available on CD as part of the book by Tecuci G., Boicu M., and Comello J., Agent-Assisted Center of Gravity Analysis , GMU Press, 2008. Disciple-LTA is a predecessor of Disciple-EBR. It has been used in courses at the U.S. Army War College and at George Mason University, as well as in experiments and special courses with intelligence analysts. Disciple-FS is a suite of tools for building, utilizing, and maintaining regulatory knowledge bases for modern, dynamic business organizations, especially financial services firms. It has been developed as part of an NSF-funded Small Business Technology Transfer Program and has been licensed to Exprentis Inc. TIACRITIS is a web agent for teaching intelligence analysts the critical thinking skills needed to perform evidence-based reasoning. This system (and associated textbook) is based on a computational theory which views Intelligence Analysis as ceaseless discovery of evidence, hypotheses, and arguments, in a complex world that is changing all the time. It helps students learn about the properties, uses, and marshaling of evidence upon which all analyses rest, through regular practice involving analyses of evidence in both hypothetical and real situations. Disciple-CD (cognitive assistant for connecting the dots) is a knowledge based system for evidence-based hypotheses analysis. It is used in several courses and by several government organizations. It is also the system distributed with the book by Tecuci G., Schum D.A., Marcu D., Boicu M., Intelligence Analysis as Discovery of Evidence, Hypotheses, and Arguments: Connecting the Dots , Cambridge University Press, 2016. Disciple-CD was licensed to Uncharted Inc. Cogent (Cognitive Agent for Cogent Analysis) is a new generation tool for evidence-based hypothesis analysis. As compared to Disciple-CD, it supports a more general argumentation structure, with both favoring and disfavoring arguments for each hypothesis and sub-hypothesis. It has a simplified interface and interaction to facilitate it use by less technical users. It combines first order logic with Baconian and Fuzzy probabilities. Disciple-WA (for military engineering planning), Disciple-COA (for course of action critiquing), and TIACRITIS-VE (for modeling the behavior of violent extremists). Support: Since joining George Mason University, G. Tecuci has been awarded over $13.9 million as Principal Investigator / Program Director, and over $2 million as Co-Principal Investigator. The awards have been made by prestigious funding organizations such as the National Science Foundation (NSF), the Intelligence Advanced Research Projects Activity (IARPA), the Defense Advanced Research Projects Agency (DARPA), the National Geospatial-Intelligence Agency (NGA), the Air Force Office of Scientific Research (AFOSR), the Air Force Research Lab (AFRL), the Department of Defense (DOD), the U.S. Army, and others. Recognitions: Dr. Tecuci was elected member of the Romanian Academy and has received several awards, including the US Army Outstanding Civilian Service Medal ("for groundbreaking contributions to the application of Artificial Intelligence to Center of Gravity determination"), the IT&E Outstanding Research Faculty Award, the Best Paper Award at the International Conference on Intelligent Tutoring Systems, and the Deployed Innovative Application Award from the American Association for Artificial Intelligence. Dr. Tecuci has been a guest editor or on the editorial board of 12 journals, and acted as chairman, organizer, or program committee member of over 70 conferences and workshops. Learning Agents Center | Computer Science Department diff --git a/src/data/compiled_bios/1657.txt b/src/data/compiled_bios/1657.txt new file mode 100644 index 0000000000..fcc40c72d4 --- /dev/null +++ b/src/data/compiled_bios/1657.txt @@ -0,0 +1 @@ + Dr. Pearl Y. Wang Associate Professor Computer Science Department George Mason University Address Information: E-mail: pwang AT cs.gmu.edu Office phone: 703-993-1527 Fax number: 703-993-1710 Office location: Nguyen Engineering - ENGR 4440 US mail: Department of Computer Science MS 4A5 George Mason University 4400 University Drive Fairfax, VA 22030-4444 Office Hours & Teaching: (Spring 2019) Office Hours: Wed 1 - 3:30 pm or By Appointment Teaching: CS 483 Analysis of Algorithms (Sec 001) W 4:30 am - 7:10 pm Robinson Hall B113 CS 490 Design Exhibition F 1:30 am - 4:10 pm Innovation Hall 215G Accreditation information: ABET CSAB GMU Links: Department of Computer Science ( CS ) Volgenau School of Engineering ( VSE ) George Mason University ( GMU) Cutting and Packing: Euro Special Interest Group on Cutting and Packing ( ESICUP ) Data Set Generation for Rectangular Placement Problems C.L. Valenzuela and P.Y. Wang (CS Technical Report TR 99-05) Full version appeared in the European Journal of Operational Research , Vol. 134, No. 2, 2001, pp. 378-391. Data Set Generation for Non-Slicing Rectangular Placement Problems C.L. Valenzuela and P.Y. Wang (2001) Old DPCL Link Other Links: Computer Science Teachers Association Committee on the Status of Women in Computer Science and Engineering Systers AROC USA Lee Arts Center Arlington VA diff --git a/src/data/compiled_bios/1658.txt b/src/data/compiled_bios/1658.txt new file mode 100644 index 0000000000..083a09a824 --- /dev/null +++ b/src/data/compiled_bios/1658.txt @@ -0,0 +1 @@ + Home | Research | Publications | Grants | Teaching | Students | Awards | Curriculum Vitae | GRA Openings Dr. Xinyuan (Frank) Wang Associate Professor Department of Computer Science Volgenau School of Engineering George Mason University 4400 University Drive, MS 4A5 Fairfax , Virginia 22030 Office: Room 5331 Engineering Building Office Hours: Thursday 3:00 - 4:25PM Email: xwangc at gmu dot edu Voice: 703-993-9461 Fax: 703-993-1710 Research Interests My research interests are around computer network and system security, including malware analysis and defense, attack attribution, privacy and anonymity, VoIP security, steganography, digital forensics. Open GRA position in Cybersecurity is currently available for qualified graduate student who has US citizenship . Selected Publications Xinyuan Wang. On the Feasibility of Real-Time Cyber Attack Attribution on the Internet . In Proceedings of the 2016 MILCOM , November 2016. Xinyuan Wang and Douglas S. Reeves. Traceback and Anonymity . Monograph. SpringerBriefs in Computer Science . Springer-Verlag, Novembe 2015. Ryan Farley, Xinyuan Wang. CodeXt:Automatic Extraction of Obfuscated Attack Code from Memory Dump . In Proceedings of the 17th Information Security Conference (ISC 2014) , October 2014. Ryan Farley, Xinyuan Wang. Exploiting VoIP Softphone Vulnerabilities to Disable Host Computers Threat and Mitigation . In International Journal of Critical Infrastructure Protection (IJCIP) , August 2014. Xin Li, Xinyuan Wang, and Wentao Chang. CipherXRay: Exposing Cryptographic Operations and Transient Secrets from Monitored Binary Execution . In IEEE Transactions on Dependable and Secure Computing (TDSC) , 11(2): 101-114, March 2014. Songqing Chen, Lei Liu, Xinyuan Wang, Xinwen Zhang and Zhao Zhang. A Host-based Approach for Unknown Fast Spreading Worm Detection and Containment . In ACM Transactions on Autonomous and Adaptive Systems Special Issue on Adaptive Security Systems , 8(4) , January 2014. Ryan Farley and Xinyuan Wang. Disabling a Computer by Exploiting Softphone Vulnerabilities: Threat and Mitigation . In Proceedings of the 9th International Conference on Security and Privacy in Communication Networks (SecureComm 2013) , September 2013. Best Paper Award Young June Pyun, Young Hee Park, Douglas S. Reeves, Xinyuan Wang and Peng Ning. Interval-based Flow Watermarking for Tracing Interactive Traffic . In Computer Networks Journal , 56(5):1646-1665, March 2012. Xinyuan Wang, and Douglas S. Reeves. Robust Correlation of Encrypted Attack Traffic through Stepping Stones by Flow Watermarking . In IEEE Transactions on Dependable and Secure Computing (TDSC) , 8(3):434-449, May 2011. Xinyuan Wang, and Ruishan Zhang. VoIP Security: Vulnerabilities, Exploits and Defenses . In Elseviers book series Advances in Computers , 81:1-49, March 2011. Xinyuan Wang, and Xuxian Jiang. Artificial Malware Immunization based on Dynamically Assigned Sense of Self . In Proceedings of the 13th Information Security Conference (ISC 2010) , October 2010. Ruishan Zhang, Xinyuan Wang, Xiaohui Yang, and Xuxian Jiang. On the Billing Vulnerabilities of SIP-based VoIP Systems . In Computer Networks Journal , 54(11):1837-1847, August 2010. Ryan Farley, and Xinyuan Wang. Roving Bugnet: Distributed Surveillance Threat and Mitigation . In Computers & Security Journal , 29(5):592-602, July 2010. Xuxian Jiang, Xinyuan Wang, and Dongyan Xu. Stealthy Malware Detection and Monitoring through VMM-based Out of the Box Semantic View Reconstruction . In ACM Transactions on Information and System Security (TISSEC) , 13(2), Februrary 2010. Zhi Wang, Xuxian Jiang, Weidong Cui, Xinyuan Wang and Mike Grace. Reformat: Automatic Reverse Engineering of Encrypted Messages . In Proceedings of the 14th European Symposium on Research in Computer Security (ESORICS 2009) , September 2009. Jing Jin and Xinyuan Wang. On the Effectiveness of Low-Latency Anonymous Network in the Presence of Timing Attack . In Proceedings of the 39th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2009) , July 2009. Ruishan Zhang, Xinyuan Wang, Ryan Farley, Xiaohui Yang, and Xuxian Jiang. On the Feasibility of Launching the Man-In-The-Middle Attacks on VoIP from Remote Attackers . In Proceedings of the 2009 ACM Symposium on Information, Computer & Communication Security (ASIACCS 2009) , March 2009. Xinyuan Wang, Ruishan Zhang, Xiaohui Yang, Xuxian Jiang, and Duminda Wijesekera. Voice Pharming Attack and the Trust of VoIP . To appear in Proceedings of the 4th International Conference on Security and Privacy in Communication Networks (SecureComm 2008) , September 2008. Daniel Ramsbrock, Xinyuan Wang, and Xuxian Jiang. A First Step Towards Live Botmaster Traceback . In Proceedings of the 11th International Symposium on Recent Advances in Intrusion Detection (RAID 2008) , September 2008. Zhi Wang, Xuxian Jiang, Weidong Cui, and Xinyuan Wang. Countering Persistent Kernel Rootkits Through Systematic Hook Discovery . In Proceedings of the 11th International Symposium on Recent Advances in Intrusion Detection (RAID 2008) , September 2008. Xuxian Jiang, Xinyuan Wang, and Dongyan Xu. Stealthy Malware Detection Through VMM-Based 'Out-of-the-Box' Semantic View Reconstruction . In Proceedings of the 14th ACM Conference on Computer and Communications Security (CCS 2007) , November 2007. Xuxian Jiang, Xinyuan Wang. 'Out-of-the-box' Monitoring of VM-based High-Interaction Honeypots . In Proceedings of the 10th International Symposium on Recent Advances in Intrusion Detection (RAID 2007) , September 2007. Ruishan Zhang, Xinyuan Wang, Xiaohui Yang, and Xuxian Jiang. Billing Attacks on SIP-Based VoIP Systems . In Proceedings of the the 1st USENIX Workshop on Offensive Technologies (WOOT 2007) , August 2007. Xinyuan Wang, Shiping Chen and Sushil Jajodia. Network Flow Watermarking Attack on Low-Latency Anonymous Communication Systems . In Proceedings of the 2007 IEEE Symposium on Security & Privacy (S&P 2007) , May 2007. Young June Pyun, Young Hee Park, Xinyuan Wang, Douglas S. Reeves and Peng Ning. Tracing Traffic through Intermediate Hosts that Repacketize Flows . In Proceedings of the 26th Annual IEEE Conference on Computer Communications (Infocom 2007) . May 2007. Songqing Chen, Xinyuan Wang, Lei Liu, Xinwen Zhang and Zhao Zhang. WormTerminator: An Effective Containment of Unknown and Polymorphic Fast Spreading Worms . In Proceedings of the 2nd ACM/IEEE Symposium on Architectures for Networking and Communications Systems (ANCS 2006) . December 2006 Xinyuan Wang. The Loop Fallacy and Deterministic Serialization in Tracing Intrusion Connections through Stepping Stones . In International J ournal of Security and Networks , 1(3/4) , 2006 Shiping Chen, Xinyuan Wang and Sushil Jajodia. On the Anonymity and Traceability of Peer-to-Peer VoIP Calls . In IEEE Network Special Issue on Securing Voice over IP , 20(5):32-37, September 2006. Songqing Chen, Shiping Chen, Xinyuan Wang and Sushil Jajodia. Data-Transparent Authentication Without Communication Overhead . In Proceedings of the 2nd International Conference on Security and Privacy in Communication Networks (SecureComm 2006) , August 2006. Xinyuan Wang, Shiping Chen and Sushil Jajodia. Tracking Anonymous Peer-to-Peer VoIP Calls on the Internet . In Proceedings of the 12th ACM Conference on Computer Communications Security (CCS 2005) , November 2005. Xinyuan. Wang, Douglas S. Reeves. Robust Correlation of Encrypted Attack Traffic through Stepping Stones by Manipulation of Interpacket Delays , In Proceedings of the 10th ACM Conference on Computer and Communications Security (CCS 2003) , October, 2003. Teaching INFS 766/ISA 666 Internet Security Protocols: F2004, S2005 ISA 774/ISA674 Intrusion Detection : F2005, F2006, S2007, F2007, F2008, F2010, F2011, F2013, F2014, F2016 ISA 656 Network Security: S2009, S2010, F2012, S2014, S2015, F2015 ISA 764 Security Experimentation: F2009, S2011, F2012 ISA 564 Security Laboratory: S2010, F2014, S2015 ISA 673 Operating Systems Security: S2011, S2014, S2016 MSEC 620 Networking Security: S2012 CS 471 Operating Systems: S2013, F2015, F2016 CS 468 Secure Programming and Systems: S2016 Spring 2017: ISA 656 Network Security Selected Profesional Activities Journal Editorial Board Associate Editor, IEEE Transactions on Dependable and Secure Computing (TDSC) . 2010 - present Conference/Workshop Technical Program Committee TPC, The 28th International Conference on Distributed Computing Systems (ICDCS 2008) TPC, The 4th International Conference on Security and Privacy in Communication Networks (SecureComm 2008) TPC, 2009 IEEE Symposium on Computational Intelligence in Cyber Security (CICS 2009) TPC, 2009 International Workshop on Ubiquitous Computing Security (UC-Sec 2009) TPC, The 3rd International Conference on Network and System Security (NSS 2009) TPC, 2009 International Conference on Security and Cryptography (SECRYPT 2009) TPC, The 28th IEEE Symposium on Reliable Distributed Systems (SRDS 2009) TPC, 2009 IEEE International Conference on Information Privacy, Security, Risk and Trust (PASSAT 2009) TPC, IEEE Globecom 2010 - Communication & Information System Security (GC-CIS 2010), Next Generation Networking Symposiums (GC-NGN 2010) TPC, The 2nd International Symposium on Data, Privacy, and E-Commerce (ISDPE 2010) TPC, The 4th International Conference on Network and System Security (NSS 2010) TPC, 2010 International Conference on Security and Cryptography (SECRYPT 2010) TPC, The First International Workshop on Security and Privacy in Cloud Computing (SPCC 2010) TPC, The 29th IEEE Symposium on Reliable Distributed Systems (SRDS 2010) TPC, IEEE Globecom 2011 - Communication & Information System Security (GC-CIS 2011) TPC, 2011 IEEE Internation Conference on Multimedia & Expo (ICME 2011) TPC, The Third IEEE International Conference on Privacy, Security, Risk, Trust (PASSAT2011) TPC, The Sixth International Workshop on Systematic Approaches to Digital Forensic Engineering (IEEE/SADFE-2011) TPC, The 7th International Conference on Security and Privacy in Communication Networks (SecureComm 2011) TPC, The Second International Workshop on Security and Privacy in Cloud Computing (SPCC 2011) TPC, The 42nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks - Performance and Dependability Symposium (DSN-PDS 2012) TPC, The 43rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks - Performance and Dependability Symposium (DSN-PDS 2013) Awards Second Place of The 2004 ACM SIGCSE (Graduate) Student Research Competition (Graduate Division). Third Place of The 2004 ACM (Graduate) Student Research Competition Grand Finals (Out of The 9 Winners From SIGOPS, SIGPLAN and SIGCSE SRC Graduate Division). 2009 National Science Foundation (NSF) Faculty Early Career Development (CAREER) Award. 2009 Volgenau School Rising Star Faculty Research Award. Patents Interval Centroid Based Watermark . USPTO patent number 7,724,782 issued on 5/25/2010. Packet Flow Side Channel . USPTO patent number 7,822,073 issued on 10/26/2010. Interval Centroid Based Watermark Decoder . USPTO patent number 7,830,923 issued on 11/9/2010. Transparent Authentication of Continuous Data Streams . USPTO patent number 8,131,998 issued on 3/6/2012. Live Botmaster Traceback . USPTO patent number 8,176,173 issued on 5/8/2012. Botmaster Traceback . USPTO patent number 8,433,796 issued on 4/30/2013. Packet Flow Side Channel . USPTO patent number 8,644,353 issued on 2/4/2014. Program Execution Integrity Verification for a Computer System . USPTO patent number 8,806,640 issued on 8/12/2014. Method and System for Recovering Cryptographic Operations and/or Secrets . USPTO patent number 9,160,524 issued on 10/13/2015. Program Execution Integrity Verification for a Computer System . USPTO patent number 9,483,637 issued on 11/1/2016. Headlines Featured article about our Roving Bugnet work published in the New Scientist magazine issue 2743 on January 16, 2010 Received 2009 Volgenau School Rising Star Faculty Research Award Received 2009 NSF CAREER Award Tutorial on VoIP Security at ACM CCS 2007 My work on breaking the Total Net Shield the ultimate solution in online identity protection of www.anonymizer.com has been reported by IATAC Spotlight on Research on its Summer 2007 IAnewsLetter Invited Speach at the TTI/Vanguard 2005 NextGen Technologies Conference Featured article about my VoIP tracing work published front page in New Jersey Newspaper StarLedger on September 28, 2005. News coverage about my NSF funded research on VoIP tracing by media in USA , UK , France , Germany , Sweden , Dutch , Russia , China . Research Projects Malware Analysis Malware Defense Anonymity Advanced Attack Attribution Digital Forensics Research Links To be added Last update: December, 2016 Access Number diff --git a/src/data/compiled_bios/1659.txt b/src/data/compiled_bios/1659.txt new file mode 100644 index 0000000000..2695eb3a90 --- /dev/null +++ b/src/data/compiled_bios/1659.txt @@ -0,0 +1 @@ + Harry Wechsler Biosketch New Book: Reliable Face Recognition Methods Biometrics and Forensics Laboratory Address: Department of Computer Science - MS 5A4 George Mason University Fairfax , VA 22030-4444 Office: Engr. 4448 Email: wechsler@cs.gmu.edu Phone: +1 (703) 993 1533 Fax: +1 (703) 993 1710 Department of Computer Science George Mason University diff --git a/src/data/compiled_bios/166.txt b/src/data/compiled_bios/166.txt new file mode 100644 index 0000000000..5becfcce80 --- /dev/null +++ b/src/data/compiled_bios/166.txt @@ -0,0 +1 @@ + Toggle navigation Home Members Projects and Publications Awards Get Involved The Ubiquitous Computing Lab develops innovative sensing systems for real world applications in health , sustainability , and novel interactions . HemaApp screens for anemia and other blood conditions using the camera on a smartphone. BiliCam uses a smartphone to screen newborns for jaundice. SpiroCall enables lung function estimation using the microphone on any mobile phone. Prev Next Start Stop 1 2 3 4 5 News October 10, 2018: Edward Wang receives Honorable Mention for the Gaetano Borriello Outstanding Student Award at UbiComp 2018 October 10, 2018: Alex Mariakakis receives the Gaetano Borriello Outstanding Student Award at UbiComp 2018 October 10, 2018: Glabella wins IMWUT 2017 Distinguished Paper Award. October 10, 2018: Shwetak Patel wins 10-year impact award at Ubicomp 2018 July 20, 2018: Elliot Saba defends his thesis and has accepted a position at Julia Computing (More news...) The ubiquitous computing (UbiComp) research lab, led by Prof. Shwetak Patel, focuses on many areas of ubiquitous computing including novel user interface technology, energy sensing, low-power sensing, health sensing, and activity recognition by applying expertise in sensing, signal processing, embedded systems, circuits, and human-computer interaction. The UbiComp lab consists of an interdisciplinary team of students (CSE, EE, ME, Medicine, etc) to tackle challenging research problems both from building the enabling hardware and software systems to the deployment and evaluation of these technologies in real-world settings. We collaborate very closely with UW Professors: Matt Reynolds (EE, CSE), Josh Smith (EE, CSE), Yoshi Kohno (CSE), James Fogarty (CSE), and Les Atlas (EE). In addition, we have close collaborations with Microsoft Research, Oculus Research, Intel, Google, and many other companies. diff --git a/src/data/compiled_bios/1660.txt b/src/data/compiled_bios/1660.txt new file mode 100644 index 0000000000..19167149c5 --- /dev/null +++ b/src/data/compiled_bios/1660.txt @@ -0,0 +1 @@ + Liz White Associate Professor Department of Computer Science Volgenau School of Engineering ( VSE ) George Mason University How to reach me: email: white@cs.gmu.edu phone: 703-993-1586 fax: 703-993-1710 US mail: Department of Computer Science, MSN 4A5 George Mason University 4400 University Drive Fairfax, VA 22030-4444 on foot: Engineering Building, Rm. 5315 Teaching Interests : Systems software, Compilers, Programming Languages, Mobile Devices Research Interests : Radio Frequency Identification (RFID), Software Architecture, Middleware, Distributed Computing, Interoperability, Dynamic Reconfiguration, Compilers Other Links Liz White 6/11 diff --git a/src/data/compiled_bios/1661.txt b/src/data/compiled_bios/1661.txt new file mode 100644 index 0000000000..3e7b2b3bb8 --- /dev/null +++ b/src/data/compiled_bios/1661.txt @@ -0,0 +1 @@ + E-mail : dwijesek@gmu.edu Telephone number : 703-993-1578/5030 Fax number : 703-993-1710 Office : Room 436, Research Hall or Room 5333, Engineering Building Mailing address : 4400 University Drive, MS 4A5, Fairfax, VA 22030, USA. Duminda Wijesekera is a Professor in the Computer Science Department at George Mason University and a Visiting Research Scientist at the National Institute for Standards and Technology. His main research area is information security and its applications. His current research projects span logical models of security policies and protocols, safety and security of wireless controlled trains, privacy and security of healthcare applications and large-scale financial crime. Prior to George Mason, he was with Honeywells Military Avionics and Space Systems divisions in providing real-time systems support for airborne and space-borne applications. He holds PhDs from Cornell University (Mathematics) and the University of Minnesota (Computer Science), and a BSc in Mathematics from the University of Colombo. Please consult the department webpage for teaching assignments and information. diff --git a/src/data/compiled_bios/1662.txt b/src/data/compiled_bios/1662.txt new file mode 100644 index 0000000000..514dfa4f51 --- /dev/null +++ b/src/data/compiled_bios/1662.txt @@ -0,0 +1 @@ + Craig Yu HOME TEAM RESEARCH SERVICES TEACHING HONORS DEMOS ABOUT Lap-Fai (Craig) Yu Assistant Professor , Department of Computer Science Director, Design Computing and Extended Reality Group Volgenau School of Engineering George Mason University Email: craigyu [At] gmu [Dot] edu Office: Room 5305, Engineering Building Lab: Room 5325, Engineering Building Short Bio I lead the Design Computing and Extended Reality (DCXR) Group at George Mason University . Before joining GMU, I was an Assistant Professor at UMass Boston where I founded and directed the Graphics and Virtual Environments Lab. I received my Ph.D. degree in Computer Science from UCLA , where I was advised by Demetri Terzopoulos . I received my B.Eng and M.Phil. degrees in Computer Science from the HKUST . I was a visiting scientist at the International Design Center at MIT and a visiting scholar at the Computer Graphics Lab at Stanford . I also worked at the Internet Graphics Group at Microsoft Research Asia . My lab receives generous support from the National Science Foundation , Microsoft, Google, Nvidia, Oracle, and Wayfair. I am the lead inventor of Make-it-Home ( SIGGRAPH 2011 ), a pioneering system for automating interior design and virtual world generation. Research Interests: Artificial Intelligence/Data-Driven Techniques for Computational Design, Graphics, Vision, Human-Computer Interaction, Virtual Reality *Please check this out if you are interested in joining our team. What's New? Our paper "Pose-Guided Level Design" has been conditionally accepted by ACM CHI 2019 . Our paper "Lost in Style: Gaze-driven Adaptive Aid for VR Navigation" has been conditionally accepted by ACM CHI 2019 . Our paper "Audible Panorama: Automatic Spatial Audio Generation for Panorama Imagery" has been conditionally accepted by ACM CHI 2019 . Our paper "3D Face Synthesis Driven by Personality Impression" has been conditionally accepted by AAAI 2019 . Our paper "Functional Workspace Optimization via Learning Personal Preferences from Virtual Experiences." has been conditionally accepted by TVCG (IEEE Virtual Reality 2019) . Our paper "Urban Zoning Using Higher-Order Markov Random Fields on Multi-View Imagery Data" has been conditionally accepted by ECCV 2018 . Our paper "Exercise Intensity-driven Level Design" has been conditionally accepted by TVCG (IEEE Virtual Reality 2018) . our paper is featured on the headline of IEEE Xplore Innovation Spotlight . Congratulations to the team! Our paper "Deep Trail Following Robotic Guidedog in Pedestrian Environments for People who are Blind and Visually Impaired - Learning from Virtual and Real Worlds" has been conditionally accepted by ICRA 2018 . Our paper "Approximate Dissections" has been conditionally accepted by ACM SIGGRAPH Asia 2017 . Our paper "Transferring Objects: Joint Inference of Container and Human Pose" has been conditionally accepted by ICCV 2017 . Our paper "Earthquake Safety Training through Virtual Drills" has been conditionally accepted by TVCG (IEEE Virtual Reality 2017) . Our paper "Interchangeable Components for Hands-On Assembly Based Modeling" has been conditionally accepted by ACM SIGGRAPH Asia 2016 . Our paper "Crowd-driven Mid-scale Layout Design" has been conditionally accepted by ACM SIGGRAPH 2016 . Our paper "SceneNN: a Scene Meshes Dataset with aNNotations" has been conditionally accepted as an Oral Paper by 3DV 2016 . we will provide 100+ real-world scene meshes with annotations; stay tuned on our project website . our paper received the Best Paper Honorable Mention Award . Congratulations to the team! Our paper "Fill and Transfer: A Simple Physics-based Approach for Containability Reasoning" has been conditionally accepted by ICCV 2015 . Our paper "Zoomorphic Design" has been conditionally accepted by ACM SIGGRAPH 2015 . Recent Activities and Lab News Our lab has 3 papers conditionally accepted by CHI 2019! Kudos to all students (Haikun, Rawan, Elisa, Michael, Yongqi, Biao) in our lab for their achievements. Special thanks to our collaborators for their excellent support and efforts to make this happen too. I will serve on the Program Committee of EUROGRAPHICS 2019. I will serve on the Program Committee of IEEE Virtual Reality 2019. I will co-organize a tutorial on "Creating and Understanding 3D Annotated Scene Meshes" at IROS 2018 Call for Participation : SHREC 2018 RGB-D Object-to-CAD Retrieval Contest . The 2nd contest based on SceneNN. I will co-chair the 4th CVPR Workshop on Vision Meets Cognition: Functionality, Physics, Intentionality and Causality (FPIC) at CVPR 2018. Congratulations to Kristen Laird for winning the Oracle Undergraduate Research Fellowship! I will co-organize a tutorial on "Creating Annotated Scene Meshes for Training and Testing Robot Systems" at ICRA 2018 We will present a VR game demo, IVENTURE , at the Boston Festival of Indie Games . Congratulations to the team for being selected as a finalist in the competition! I will co-teach a course on "Modeling and Remodeling 3D Worlds" at SIGGRAPH Asia 2017 I will serve on the Program Committee of EUROGRAPHICS 2018. I will serve on the Program Committee of IEEE Virtual Reality 2018. I will give an invited talk at the Boston Virtual Reality Meetup on July 17 (Mon), 2017 at 6pm at the Cambridge Innovation Center. I receive an NSF CRII:CHS grant on Perceptual Data-Guided Computational Design. Congratulations to Yongqi Zhang and Biao Xie for winning the Oracle Undergraduate Research Fellowship! Congratulations to Yongqi Zhang for winning the Beacon Student Success Fellowship! Congratulations to Carla Aravena for winning the Tanimoto prize and the Louis H. Bronner Scholarship! Congratulations to Carla Aravena for receiving an Honorable Mention at the NSF Graduate Research Fellowship Program! I will give an invited talk at the New England Symposium on Graphics on April 23, 2017 at MIT. Call for Participation : SHREC 2017 RGB-D Object-to-CAD Retrieval Contest (registration deadline: Feb 1, 2017). The 1st contest based on SceneNN. I will co-chair the 3rd CVPR Workshop on Vision Meets Cognition: Functionality, Physics, Intentionality and Causality (FPIC) at CVPR 2017. Congratulations to Carla Aravena and Mark Vo for being selected as McNair Fellows. I will co-chair the 1st Workshop on Virtual Reality meets Physical Reality at SIGGRAPH ASIA 2016. I will co-chair the 2nd Workshop on Physical and Social Scene Understanding at CogSci 2016. I will serve on the Program Commitee of Pacific Graphics, 2016. Congratulations to Chris Quigley, Carla Aravena and Mark Vo for being selected as Oracle Undergraduate Research Fellows! We will give an oral presentation for our paper "Fill and Transfer: A Simple Physics-based Approach for Containability Reasoning" at the 1st Workshop on Object Understanding for Interaction at ICCV 2015 . I will serve on the Program Committee of the ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games (i3D), 2016 I will co-chair the 1st Workshop on Physical and Social Scene Understanding at CogSci 2015. Congratulations to Lorenzo Barrett for being selected as a McNair Fellow! I will co-chair the 2nd CVPR Workshop on Vision Meets Cognition: Functionality, Physics, Intentionality and Causality (FPIC) at CVPR 2015. Congratulations to Darian Springer for being selected as a McNair Fellow! Congratulations to Vincent Luczkow for winning the Oracle Undergraduate Research Fellowship! I am joining UMass Boston as an assistant professor in Fall 2014. I won the Cisco Outstanding Graduate Research Award! I co-chaired the 1st CVPR Workshop on Vision Meets Cognition: Functionality, Physics, Intentionality and Causality (FPIC) at CVPR 2014, together with Yibiao Zhao (UCLA), Bo Zheng (U. Tokyo), Peter Battaglia (MIT) and Tao Gao (MIT). There were interesting talks and presenations about the FPIC-related topics. Check out later for videos of the workshop! diff --git a/src/data/compiled_bios/1663.txt b/src/data/compiled_bios/1663.txt new file mode 100644 index 0000000000..6bf0887aef --- /dev/null +++ b/src/data/compiled_bios/1663.txt @@ -0,0 +1 @@ + Yutao Zhong Term Assistant Professor Department of Computer Science George Mason University Email : yzhong at gmu dot edu Office : Engineering Building 4433 Voice : 703-993-1773 Teaching CS465: Computer Systems Architecture Spring 2017, Fall/Spring 2016, Spring 2015 CS112: Introduction to Computer Programming Spring 2017, Fall/Spring 2016, Fall/Spring 2015, Fall 2014 Last updated: 1/10/2017 diff --git a/src/data/compiled_bios/1664.txt b/src/data/compiled_bios/1664.txt new file mode 100644 index 0000000000..dc9ab809e1 --- /dev/null +++ b/src/data/compiled_bios/1664.txt @@ -0,0 +1 @@ +Ruth Iris Bahar | Ruth_Bahar@Brown.EDU | Computer Engineering at LEMS | , Ph.D., University of Colorado | Professor | Computer Engineering at LEMSComputer Architecture, Low-Power Design, and Computer-Aided VLSI Design. diff --git a/src/data/compiled_bios/1665.txt b/src/data/compiled_bios/1665.txt new file mode 100644 index 0000000000..d2c102c457 --- /dev/null +++ b/src/data/compiled_bios/1665.txt @@ -0,0 +1 @@ +Rod Beresford | rod_beresford@Brown.EDU | , Ph.D., Columbia University | Sr. Associate Dean; Professor | Molecular beam epitaxy, electronic materials and devices, quantum well and superlattice device physics. diff --git a/src/data/compiled_bios/1666.txt b/src/data/compiled_bios/1666.txt new file mode 100644 index 0000000000..28fb5bd66f --- /dev/null +++ b/src/data/compiled_bios/1666.txt @@ -0,0 +1 @@ +Pedro F. Felzenszwalb | pff@brown.edu | Computer Vision at LEMS | Ph.D., Massachusetts Institute of Technology | Professor of Engineering and Computer Science | Computer Vision at LEMSComputer vision, artificial intelligence, machine learning, algorithms. diff --git a/src/data/compiled_bios/1667.txt b/src/data/compiled_bios/1667.txt new file mode 100644 index 0000000000..bc3aecbfc4 --- /dev/null +++ b/src/data/compiled_bios/1667.txt @@ -0,0 +1 @@ +Leigh Hochberg | Leigh_Hochberg@brown.edu | Professor | Clinical Interests: Stroke, Neurocritical CareTranslational Neuroscience Interests: Brain-Computer Interfaces, Neurotechnology(see also Biomedical Engineering Faculty) diff --git a/src/data/compiled_bios/1668.txt b/src/data/compiled_bios/1668.txt new file mode 100644 index 0000000000..ea28de7338 --- /dev/null +++ b/src/data/compiled_bios/1668.txt @@ -0,0 +1 @@ +Benjamin Kimia | Benjamin_Kimia@Brown.edu | Computer Vision at LEMS | , Ph.D., McGill University | Professor | Computer Vision at LEMSComputer vision and image processing, artificial intelligence diff --git a/src/data/compiled_bios/1669.txt b/src/data/compiled_bios/1669.txt new file mode 100644 index 0000000000..7c83b1be28 --- /dev/null +++ b/src/data/compiled_bios/1669.txt @@ -0,0 +1 @@ +Larry Larson | , Ph.D., UCLA | Sorensen Family Dean of Engineering; Professor of Engineering | Professor of Engineering | Wireless communications, Semiconductor devices, high-frequency circuits, communications systems diff --git a/src/data/compiled_bios/167.txt b/src/data/compiled_bios/167.txt new file mode 100644 index 0000000000..4a722d0ec4 --- /dev/null +++ b/src/data/compiled_bios/167.txt @@ -0,0 +1 @@ + Enter search text All the UW Current site All the UW Current site Skip to main content University of Washington University of Washington Give to ECE Quick Links Menu News + Events Events Calendar Research Colloquium Lytle Lecture Series Graduation Capstone Fair Electrical Engineering Kaleidoscope The Integrator Newsletter People Faculty Staff Emeritus Faculty Adjunct Faculty Affiliate Faculty Academics Bachelor of Science Combined BS-MS Masters & Ph.D. Professional Masters Program Non-Degree Options Research Biosystems Computing and Networking Data Sciences Photonics and Nano Devices Power and Energy Systems Robotics and Controls Research Centers Research Labs Research Projects Innovation Engineering Entrepreneurial Capstone Washington Nanofabrication Facility Makerspace: Accelerating Innovation SNUPI: Home Monitoring Systems BluHaptics: Underwater Robots with Human Touch WiBotic: Wireless Power for Robots Get Involved Researchers Industry Sponsors Prospective Students Current Students Alumni Give to UW ECE About Message from the Chair Office of the Chair Contact Us ABET Accreditation News + Events Events Calendar Research Colloquium Lytle Lecture Series Graduation Capstone Fair Electrical Engineering Kaleidoscope The Integrator Newsletter People Faculty Staff Emeritus Faculty Adjunct Faculty Affiliate Faculty Academics Bachelor of Science Combined BS-MS Masters & Ph.D. Professional Masters Program Non-Degree Options Research Biosystems Computing and Networking Data Sciences Photonics and Nano Devices Power and Energy Systems Robotics and Controls Research Centers Research Labs Research Projects Innovation Engineering Entrepreneurial Capstone Washington Nanofabrication Facility Makerspace: Accelerating Innovation SNUPI: Home Monitoring Systems BluHaptics: Underwater Robots with Human Touch WiBotic: Wireless Power for Robots Get Involved Researchers Industry Sponsors Prospective Students Current Students Alumni Give to UW ECE About Message from the Chair Office of the Chair Contact Us ABET Accreditation Jim Peckol Principal Lecturer Home People Jim Peckol James K. Peckol received his BS in engineering from Case Institute of Technology in 1966 and his MS and Ph.D. degrees in electrical engineering from the University of Washington 1975 and 1985 respectively. Peckol has spent over 45 years in industry and in universities developing embedded systems, conducting research and teaching. He is currently a Principal Lecturer on real time embedded system design, computer architecture, digital logic design and elementary circuit design. He has served as Professor (1996) and Maitre de Conferences (1993) at the University of Nantes in France while working as an invited lecturer in fuzzy logic and researcher in hardware/software co-design and computer performance monitoring. He has held the position of Senior Lecturer (Associate Professor) at the University of Aberdeen in Scotland (1987) while conducting research in artificial intelligence and knowledge management. Working as an invited visiting Professor in the Advanced Program at Danang Technical University in Vietnam (summers 2008, 2009, 2011, 2013 and 2015), he evaluated the program, advised and taught in the areas of computer architecture, digital / embedded systems and C programming. One team of students from the 2011 embedded systems class won a national competition in Vietnam for a project they developed based upon what they had learned in class. Peckol developed systems supporting the Mars Viking Landers and is a co-inventor of Virtual Instruments, a patented programming environment for developing electronic test and measurement applications. He is a member of Tau Beta Pi, IEEE, ACM and AAAI. Peckols published works include a book on embedded systems design and development and papers in the areas of hardware/software co-design, virtual instrument design and automatic test program synthesis. He has conducted workshops on applying AI strategies to electronic test and has served as session chairman in AI at several international ATE test conferences and chairman of the Technical Sessions Committee for Northcon 96. He is a member of the University of Washington PCE Programs C, C++ and Embedded Systems Advisory Boards. Peckol has been recognized in Whos Who in the World 1997-2015, Whos Who in America 1997-2015 and Whos Who in Science and Engineering 1996-2015. Representative Publications Embedded Systems A Contemporary Design Tool, John Wiley & Sons, Inc. NJ, 2008. Phone 206-543-9477 Email jkp@ece.uw.edu Mail M210 EEB Affiliations Senior Member, Life Member IEEE Member ACM Member AAAI Member Tau Beta Pi Innovation/Entrepreneurship Co-Inventor Virtual Instruments Education Ph.D., 1985 University of Washington MS, 1975 University of Washington BS, 1966 Case Institute of Technology Connect with ECE: Facebook Twitter Instagram YouTube LinkedIn University of Washington Be boundless Accessibility Contact Us Campus Safety My UW Privacy Terms 2019 University of Washington | Seattle, WA diff --git a/src/data/compiled_bios/1670.txt b/src/data/compiled_bios/1670.txt new file mode 100644 index 0000000000..4b469a8f1f --- /dev/null +++ b/src/data/compiled_bios/1670.txt @@ -0,0 +1 @@ +Daniel Mittleman | Daniel_Mittleman@brown.edu | Mittleman Laboratory | Ph.D., University of California at Berkeley | Mittleman LaboratoryTerahertz science and technology, ultrafast optical phenomena diff --git a/src/data/compiled_bios/1671.txt b/src/data/compiled_bios/1671.txt new file mode 100644 index 0000000000..d09cac99e4 --- /dev/null +++ b/src/data/compiled_bios/1671.txt @@ -0,0 +1 @@ +Arto Nurmikko | Arto_Nurmikko@brown.edu | Nanophotonics and Neuroengineering Laboratory | , Ph.D., University of California at Berkeley | L. Herbert Ballou University Professor of Engineering and Physics | Nanophotonics and Neuroengineering LaboratoryNanophotonics, Nanomaterials, and Neuroengineering/ Neurotechnology(see also Biomedical Engineering Faculty) diff --git a/src/data/compiled_bios/1672.txt b/src/data/compiled_bios/1672.txt new file mode 100644 index 0000000000..63abaa1b7a --- /dev/null +++ b/src/data/compiled_bios/1672.txt @@ -0,0 +1 @@ +Domenico Pacifici | Domenico_Pacifici@brown.edu | Pacifici Research Group | , Ph.D., University of Catania, Italy | Associate Professor | Pacifici Research GroupSilicon-based microphotonics, nanophotonics, plasmonics. Nanoengineered materials and devices for information, sensing and energy-harvesting applications.(see also Biomedical Engineering Faculty) diff --git a/src/data/compiled_bios/1673.txt b/src/data/compiled_bios/1673.txt new file mode 100644 index 0000000000..00dc0d9b1e --- /dev/null +++ b/src/data/compiled_bios/1673.txt @@ -0,0 +1 @@ +Sherief Reda | Sherief_Reda@brown.edu | Computer Engineering at LEMS | , Ph.D., University of California, San Diego | Associate Professor | Computer Engineering at LEMSScalable Computing Systems Laboratory (SCALE)Energy-efficient computing systems, design automation and test of integrated circuits, computer architecture, reconfigurable computing. | Energy-efficient computing systems, design automation and test of integrated circuits, computer architecture, reconfigurable computing. diff --git a/src/data/compiled_bios/1674.txt b/src/data/compiled_bios/1674.txt new file mode 100644 index 0000000000..d5163c9a05 --- /dev/null +++ b/src/data/compiled_bios/1674.txt @@ -0,0 +1 @@ +Christopher Rose | Christopher_Rose@brown.edu | Rose Group: A World of Bits -- wireless and beyond | Rose Group: A World of Bits -- wireless and beyondCommunication theory as an organizing principle: wireless communication, molecular communication, mobile networks, communication theory and physics, genetic algorithms, interference avoidance, MIMO. diff --git a/src/data/compiled_bios/1675.txt b/src/data/compiled_bios/1675.txt new file mode 100644 index 0000000000..49895de2fe --- /dev/null +++ b/src/data/compiled_bios/1675.txt @@ -0,0 +1 @@ +Jacob Rosenstein | Jacob_Rosenstein@brown.edu | Computer Engineering at LEMS | , Ph.D., Columbia University | Assistant Professor | Computer Engineering at LEMSMixed-signal electronics, instrumentation, electrophysiology, nanopore sensors, embedded systems, VLSI, sensor interfaces, microfluidics. diff --git a/src/data/compiled_bios/1676.txt b/src/data/compiled_bios/1676.txt new file mode 100644 index 0000000000..cfc5865b47 --- /dev/null +++ b/src/data/compiled_bios/1676.txt @@ -0,0 +1 @@ +Harvey Silverman | hfs@lems.brown.edu | Computer Engineering at LEMS | , Ph.D., Brown University | Professor | Computer Engineering at LEMSDigital signal processing, speech recognition and analysis, computer architecture, microphone-array systems, nonlinear optimization. diff --git a/src/data/compiled_bios/1677.txt b/src/data/compiled_bios/1677.txt new file mode 100644 index 0000000000..6ba737cb84 --- /dev/null +++ b/src/data/compiled_bios/1677.txt @@ -0,0 +1 @@ +Gabriel Taubin | taubin@brown.edu | Computer Vision at LEMS diff --git a/src/data/compiled_bios/1678.txt b/src/data/compiled_bios/1678.txt new file mode 100644 index 0000000000..34417ff111 --- /dev/null +++ b/src/data/compiled_bios/1678.txt @@ -0,0 +1 @@ +Alexander Zaslavsky | Alexander_Zaslavsky@brown.edu | Zaslavsky Laboratory | , Ph.D., Princeton University | Professor of Engineering and Physics | Zaslavsky LaboratoryPhysics and technology of semiconductor microstructures and devices diff --git a/src/data/compiled_bios/1679.txt b/src/data/compiled_bios/1679.txt new file mode 100644 index 0000000000..00704848db --- /dev/null +++ b/src/data/compiled_bios/1679.txt @@ -0,0 +1 @@ +Rashid Zia | Rashid_Zia@brown.edu | Zia Laboratory | , Ph.D., Stanford University | Associate Professor of Engineering and Physics; Dean of the College | Zia LaboratoryNanophotonics, near-field optics, plasmonics, single emitter spectroscopy, single photon sources, and cavity-free QED diff --git a/src/data/compiled_bios/168.txt b/src/data/compiled_bios/168.txt new file mode 100644 index 0000000000..71b5aaea92 --- /dev/null +++ b/src/data/compiled_bios/168.txt @@ -0,0 +1 @@ + (206) 221-6512 Toggle navigation HOME RESEARCH PUBLICATIONS TOOLS PEOPLE COURSES News SPONSORS LINKS W | Previous Next HISTORY The Network Security Lab (NSL) was founded by Professor Radha Poovendran in 2001. We are located in the Dept. of Electrical Engineering at the University of Washington. Our Mission The mission of Network Security Lab (NSL) is to conduct basic and applied research in the security of critical networks and network components. Our contributions are in the areas of wireless network infrastructure, Internet security, and commercial/industrial applications. Wireless network infrastructure. Internet security applications. Commercial/Industrial applications. LATEST NEWS Prof. Conti is visiting NSL Prof. Mauro Conti is visiting NSL for a week. He is a full professor in the University of Padua, Italy, and an affiliate Professor in the University of Washington, USA. His research interests are mainly in the area of security and privacy. In this area, he published more than 170 papers in topmost international peer-reviewed journals and conferences, including IEEE TIFS, IEEE TDSC, IEEE TPDS, ACM TWEB, ACM/IEEE TON, IEEE TSC, IEEE COMST, ACM CCS, Usenix Security, ACM AsiaCCS, ACM WiSec, ACM SACMAT, ACM MobiHoc, ACNS, IEEE ICDCS, and ESORICS. July 18, 2018 Paper presented at ACC 2018 June 27, 2018 Prof. Andrew Clark and Prof. Linda Bushnell participated in STEM workshop at ACC 2018 June 26, 2018 Xuhang (Shaun) Ying received his PhD! June 01, 2018 ALL ARTICLES Network Security Lab - University of Washington diff --git a/src/data/compiled_bios/1680.txt b/src/data/compiled_bios/1680.txt new file mode 100644 index 0000000000..c9950aff80 --- /dev/null +++ b/src/data/compiled_bios/1680.txt @@ -0,0 +1 @@ +William Patterson | patterson@engin.brown.edu | Senior Lecturer and Senior Research Engineer | Computer architecture, analog/digital design. diff --git a/src/data/compiled_bios/1681.txt b/src/data/compiled_bios/1681.txt new file mode 100644 index 0000000000..a79a9efbbd --- /dev/null +++ b/src/data/compiled_bios/1681.txt @@ -0,0 +1 @@ +David Cooper | David_Cooper@Brown.EDU | SHAPE Lab | Computer Vision at LEMS | , Ph.D., Columbia University | Professor Emeritus; Professor (Research) | SHAPE LabComputer Vision at LEMSComputer vision, pattern recognition, communication and information sciences. diff --git a/src/data/compiled_bios/1682.txt b/src/data/compiled_bios/1682.txt new file mode 100644 index 0000000000..9002f3fe12 --- /dev/null +++ b/src/data/compiled_bios/1682.txt @@ -0,0 +1 @@ +Jerry Daniels | Jerry_Daniels@Brown.EDU | , Ph.D., University of California at Berkeley | Associate Professor Emeritus | Neural networks, genetic algorithms, visual physiology, eye movements, development of the nervous system, bio-instrumentation.(see also Biomedical Engineering Faculty) diff --git a/src/data/compiled_bios/1683.txt b/src/data/compiled_bios/1683.txt new file mode 100644 index 0000000000..bdaecd09b4 --- /dev/null +++ b/src/data/compiled_bios/1683.txt @@ -0,0 +1 @@ +Barrett Hazeltine | Barrett_Hazeltine@Brown.edu | Professor Emeritus | Management of technology, technology in development, engineering education, digital systems. diff --git a/src/data/compiled_bios/1684.txt b/src/data/compiled_bios/1684.txt new file mode 100644 index 0000000000..a77ca43664 --- /dev/null +++ b/src/data/compiled_bios/1684.txt @@ -0,0 +1 @@ + Skip to main content Toggle navigation Demba Ba Blog Posts CV Archive Source Demba Ba I am Demba Ba, alas not the Football player . My world came crashing one day when a grad school friend of mine informed me that I did not come up as the top search on Google. He is a great Football player. I was born in Dakar, Senegal. My mom is from Northern Senegal and my dad from Southern Mauritania. We are from the so-called "Region du Fleuve" which, historically, has been home to the Haal-pulaar-en (literally "those who speak the Pulaar language") people. I moved here in 1999 to do undergrad at the University of Maryland, College Park . In 2004, I moved to the Boston area to pursue a PhD at MIT . Currently, I am excited to be an Assistant Professor of Electrical Engineering and Bioengineering in the Harvard's School of Engineering and Applied Sciences ! It is great to be part of such a lively and interdisciplinary institution. It's going to be a lot of fun, and I am looking forward to it. This is my personal blog. As such, the views expressed here are not necessarily those of my employer, Harvard University, its affiliates or my colleagues/department. This blog is a space I reserve for myself to write about things I am passionate about. I am passionate about many things. In the age of specialization, some might perceive this a lack of focus. My experience has taught me that some of my best ideas have come from serendipitous cross-pollineations of my various interests. James McBride, a great author, once wrote "Robbing a character of their full dimension, be it in fiction or non fiction, hurts everyone the world over". So, in here you might read posts about recent events, cooking, my love of everything audio/radio, tech and social/justice, sigma-algebras, papers I've been reading, life as an assistant professor, data science, and more... I am proud of having set up this blog using Nikola !, a static blog generator that allows me, in one place, to include mathematical equations, code, plots generated in Python and more! This makes for such a rich writing/blogging experience. I also write about data science/academia/signal processing at Dataholiks with my friend Sourav Dey. Check us out. I look forward to sharing with you! Demba Ba. Contents 2019 Demba Ba - Powered by Nikola diff --git a/src/data/compiled_bios/1685.txt b/src/data/compiled_bios/1685.txt new file mode 100644 index 0000000000..98ea8f139d --- /dev/null +++ b/src/data/compiled_bios/1685.txt @@ -0,0 +1 @@ + Professor Roger W. Brockett Roger W. Brockett An Wang Professor of Computer Science and Electrical Engineering, Division of Engineering and Applied Sciences , Founder of the Harvard Robotics Laboratory , Harvard University Office: 345 Maxwell Dworkin, 33 Oxford St. Telephone:(617)495-3922 Fax:(617)496-6404 Office Hours - by appointment Research Projects Director for the Center for the Dynamics and Control of SMART STRUCTURES Intelligent Machines Dynamical Systems and Computation Tactile Sensing Pulse Mode Computation Motion Control and Motor Networks Scout Courses ES-51 "A Computer-Aided Design Approach to Engineering" ES-203 "Stochastic Control" ES-202 "Estimation and Control of Dynamic Systems" CS 283 "Computer Vision" ES-201 ``Decision Theory'' Graduate Students Hongyi Li Manuela Pereira Michael McElroy Benjamin Pierce Jian Zou Jason Adaska Muhammed Belabbas Postdoctoral Fellows Publications Complete publications listing. Papers online [in Postscript]: ``Nonlinear Feedback Systems Perturbed by Noise: Steady-State Probability Distributions and Optimal Control,'' IEEE Transactions on Automatic Control , vol 45., number 6, Jul 2000(with Daniel Liberzon ). ``Spectral Analysis of Fokker-Planck and Related Operators Arising from Linear Stochastic Differential Equations,'' SIAM Journal on Control and Optimization , (with Daniel Liberzon ). ``Nonholonomic Control Based on Approximate Inversion,'' Proc. of the 1999 American Control Conference , San Diego CA, 1999, pp. 3515-3519. (with Kristi Morgansen ). ``The Performance of a Deformable-membrane Tactile Sensor: Basic Results on Geometrically-defined Tasks," IEEE Int'l Conf. on Robotics and Automation , 2000. (with Nicola Ferrier and Dimitris Hristu ). "Systems with Finite Bandwidth Constraints I: State Estimation Problems," IEEE Trans. Automatic Control , vol 42, pp. 1294-1298, (1997) (with Wing Shing Wong). "Hybrid Systems in Classical Mechanics," Proceedings of the 1996 IFAC Congress Volume J, pp. 473-477 (1996). "A Rational Flow for the Toda Lattice Equations," in Operators, Systems, and Linear Algebra (U. Helmke et al. eds.), B.G. Teubner, Stuggart, 1997. "On explicit steady-state solutions of Fokker-Planck equations for a class of nonlinear feedback systems," Proceedings of the American Control Conference , Philadelphia, PA, Jun 1998, vol. 1, pp. 264--268(with Daniel Liberzon ). Professor Roger W. Brockett ( brockett@hrl.harvard.edu ) This page updated and maintained by Kathy LaFrance. Send comments to: kath@hrl.harvard.edu diff --git a/src/data/compiled_bios/1686.txt b/src/data/compiled_bios/1686.txt new file mode 100644 index 0000000000..6cbb467370 --- /dev/null +++ b/src/data/compiled_bios/1686.txt @@ -0,0 +1 @@ + About Research Announcements Research Group Papers Teaching Contact CV Flavio du Pin Calmon Assistant Professor I am an Assistant Professor of Electrical Engineering at Harvard's John A. Paulson School of Engineering and Applied Sciences . Before joining Harvard I was a social good post-doctoral fellow at IBM Research in Yorktown Heights, New York. I received my Ph.D. in Electrical Engineering and Computer Science at MIT. My main research interests are information theory, inference, and statistics, with applications to privacy, fairness, machine learning, and communications engineering. Research My research has three intertwined goals: (i) develop theory and models that capture the fundamental limits of estimation and learning from data, (ii) construct fair and private learning algorithms with performance guarantees based on these limits, and (iii) use this methodology as a design driver for future information processing and content distribution systems. In order to achieve these goals I use theoretical tools from information theory, statistics, cryptography and machine learning. I consider myself a scientist who is an engineer at heart, so I enjoy doing fundamental research that serves as a design driver for practical applications. I have a broad set of interests which include information theory, statistics, communications and optimization. You can find more details in the publications below. Recent announcements Dec, 2018 NSF CAREER Award! I am very grateful for the support of the National Science Foundation for our research on information-theoretic foundations of fair machine learning (check out this GSAS feature) . You can learn more details about the award at the Harvard SEAS website. Nov, 2018 IBM Open Collaborative Research Award. Thank you IBM! Nov, 2018 NVidia GPUs grant. Thank you NVidia for the two Titan XP GPUs awarded to our group. March, 2019 Lemann Brazil Research Fund Award. We are excited to organize a course on ML at FEEC/Unicamp in August 2019! You can find more details here. Research Group I am very fortunate to work with an amazing group of students, post-docs, and visitors. Hao Wang (PhD, G3) Hsiang Hsu (PhD, G2) Wael Alghmadi (PhD, G2) Berk Ustun (CRCS Post-Doc) Javier Zazo (CRCS Post-Doc) Lisa Vo (Harvard College) Filip Michalsky (ME in Computational Science & Engineering) Claire (Zheng) Yang (ME in Computational Science & Engineering) Jos Cndido Silveira Santos Filho (Visiting Faculty) Papers Pre-prints On the robustness of information-theoretic privacy measures and mechanisms, M. Diaz, H. Wang, F. P. Calmon, and L. Sankar Privacy with estimation guarantees H. Wang, L. Vo, F. P. Calmon, M. Medard, K. R. Duffy, and M. Varia Tunable measures for information leakage and applications to privacy-utility tradeoffs J. Liao, O. Kosut, L. Sankar, and F. P. Calmon Deep Orthogonal Representations: Fundamental Properties and Applications H. Hsu, S. Salamatian, and F. P. Calmon Hiding symbols and functions: New metrics and constructions for information-theoretic security F. P. Calmon, M. Mdard, M. Varia, K. R. Duffy, M. M. Christiansen, and L. M. Zeger 2019 Correspondence Analysis Using Neural Networks H. Hsiang, S. Salamatian, F. P. Calmon The 22nd International Conference on Artificial Intelligence and Statistics (AISTATS). 2018 Avoiding disparate impact with counterfactual distributions H. Wang, B. Ustun, F. P. Calmon NeurIPS Workshop on Ethical, Social and Governance Issues in AI. Correspondence analysis of government expenditure patterns H. Hsu, F. P. Calmon, J. C. S. Santos Filho, A. P. Calmon, and S. Salamatian NeurIPS Workshop on Machine Learning for the Developing World (ML4D). Data Pre-Processing for Discrimination Prevention: Information-Theoretic Optimization and Analysis F. P. Calmon, D. Wei, B. Vinzamuri, K. N. Ramamurthy, and K. R. Varshney IEEE Journal of Selected Topics in Signal Processing, vol. 12, no. 5, pp. 1106-1119, Oct. 2018. The utility cost of robust privacy guarantees H. Wang, M. Diaz, F. P. Calmon, and L. Sankar Proc. IEEE Int. Symp. on Inf. Theory (ISIT), pp. 706-710, 2018 On the direction of discrimination: An information-theoretic analysis of disparate impact in machine learning H. Wang, B. Ustun, and F. P. Calmon Proc. IEEE Int. Symp. on Inf. Theory (ISIT), pp. 1216-1220, 2018 Generalizing Bottleneck Problems H. Hsu, S. Asoodeh, S. Salamatian, and F. P. Calmon Proc. IEEE Int. Symp. on Inf. Theory (ISIT), pp. 531-535, 2018 A Tunable Measure for Information Leakage J. Liao, O. Kosut, L. Sankar, and F. P. Calmon Proc. IEEE Int. Symp. on Inf. Theory (ISIT), pp. 701-705, 2018 Hypothesis testing under mutual information privacy constraints in the high privacy regime J. Liao, L. Sankar, V. Y. F. Tan, and F. P. Calmon IEEE Trans. Inf. Forensics Security, vol. 13, no. 4, pp. 10581071, 2018 Strong data processing inequalities for input constrained additive noise channels F. P. Calmon, Y. Polyanskiy, and Y. Wu IEEE Trans. Inf. Theory, vol. 64, no. 3, pp. 1879-1892, 2018 2017 Optimized pre-processing for discrimination prevention F. P. Calmon, D. Wei, B. Vinzamuri, K. N. Ramamurthy, and K. R. Varshney NIPS 2017 An estimation-theoretic view of privacy H. Wang and F. P. Calmon Proc. 55th Annual Allerton Conference on Communication, Control, and Computing, 2017 Principal inertia components and applications F. P. Calmon, A. Makhdoumi, M. Mdard, M. Varia, M. Christiansen, and K. R. Duffy IEEE Trans. Inf. Theory, vol. 63, no. 8, pp. 50115038, 2017 Mutual outage probability F. P. Calmon, A. A. M. de Medeiros, and M. D. Yacoub IEEE Trans. Wireless Commun., vol. 16, no. 5, pp. 31383150, 2017 Hypothesis testing under maximal leakage privacy constraints J. Liao, L. Sankar, F. P. Calmon, and V. Y. Tan IEEE Int. Symp. on Inf. Theory (ISIT), 2017, pp. 779783 Prior to 2017 Correcting forecasts with multifactor neural attention M. Riemer, A. Vempaty, F. P. Calmon, F. Heath, R. Hull, and E. Khabiri ICML 2016 Hypothesis testing in the high privacy limit J. Liao, L. Sankar, V. Y. F. Tan, and F. P. Calmon Proc. 54th Annual Allerton Conference on Communication, Control, and Computing, 2016 Multi-user guesswork and brute force security M. M. Christiansen, K. R. Duffy, F. P. Calmon, and M. Mdard IEEE Trans. Inf. Theory, vol. 61, no. 12, pp. 6876 6886, Dec 2015 Information-theoretic metrics for security and privacy F. P. Calmon Ph.D. Thesis, MIT, 2015 Managing your private and public data: Bringing down inference attacks against your privacy S. Salamatian, A. Zhang, F. Calmon, S. Bhamidipati, N. Fawaz, B. Kveton, P. Oliveira, and N. Taft IEEE J. Sel. Topics Signal Proces., vol. 9, no. 7, pp. 12401255, 2015 Fundamental limits of perfect privacy F. P. Calmon, A. Makhdoumi, and M. Mdard Proc. IEEE Int. Symp. on Inf. Theory (ISIT), pp. 17961800, 2015 Strong Data Processing Inequalities in Power-Constrained Gaussian Channels F. P. Calmon, Y. Polyanskiy, and Y. Wu Proc. IEEE Int. Symp. on Inf. Theory (ISIT), pp. 25582562, 2015 Forgot your password: Correlation dilution A. Makhdoumi, F. P. Calmon, and M. Mdard Proc. IEEE Int. Symp. on Inf. Theory (ISIT), pp. 29442948, 2015 An exploration of the role of principal inertia components in information theory F. P. Calmon, M. Varia, and M. Mdard Proc. IEEE Inf. Theory Workshop, Nov. 2014 On information-theoretic metrics for symmetric-key encryption and privacy F. P. Calmon, M. Varia, and M. Mdard Proc. 52nd Annual Allerton Conference on Communication, Control, and Computing, 2014 Bounds on inference F. P. Calmon, M. Varia, M. Mdard, M. M. Christiansen, K. R. Duffy, and S. Tessaro Proc. 51st Annual Allerton Conference on Communication, Control, and Computing, 2013 Brute force searching, the typical set and guesswork M. M. Christiansen, K. R. Duffy, F. P. Calmon, and M. Mdard Proc. IEEE Int. Symp. on Inf. Theory (ISIT), 2013, pp. 12571261 Guessing a password over a wireless channel (on the effect of noise non-uniformity) M. M. Christiansen, K. R. Duffy, F. P. Calmon, and M. Mdard Proc. Asilomar Conference on Signals, Systems and Computers, 2013, pp. 5155 How to hide the elephant-or the donkey-in the room: Practical privacy against statistical inference for large data S. Salamatian, A. Zhang, F. P. Calmon, S. Bhamidipati, N. Fawaz, B. Kveton, P. Oliveira, and N. Taft Proc. IEEE GlobalSIP, 2013 Multi-path TCP with network coding for mobile devices in heterogeneous networks J. Cloud, F. P. Calmon, W. Zeng, G. Pau, L. M. Zeger, and M. Mdard Proc. IEEE 78th Vehicular Technology Conference, 2013, pp. 15 A framework for privacy against statistical inference F. P. Calmon and N. Fawaz Proc. 50th Annual Allerton Conference on Communication, Control, and Computing, 2012 Speeding multicast by acknowledgment reduction technique (SMART) enabling robustness of QoE to the number of users A. Rezaee, F. P. Calmon, L. M. Zeger, and M. Mdard IEEE J. Sel. Areas Commun., vol. 30, no. 7, pp. 1270 1280, Aug. 2012 Lists that are smaller than their parts: A coding approach to tunable secrecy F. P. Calmon, M. Mdard, L. Zeger, J. Barros, M. M. Christiansen, and K. R. Duffy Proc. 50th Annual Allerton Conference on Communication, Control, and Computing, 2012 Equivalent models for multi-terminal channels F. P. Calmon, M. Mdard, and M. Effros Proc. IEEE Inf. Theory Workshop, Oct. 2011. MRCS selecting maximal ratio combined signals: a practical hybrid diversity combining scheme F. P. Calmon and M. D. Yacoub IEEE Trans. Wireless Commun., vol. 8, no. 7, pp. 34253429, Jul. 2009 A general exact formulation for the outage probability in interference-limited systems F. P. Calmon and M. D. Yacoub Proc. IEEE Global Telecommunications Conference (GLOBECOM), Nov. 2008 Patents An updated list of filed/granted patents can be found on Google Patent Search . Teaching Spring 2019 : Signals and Systems (ES 156) Spring 2018 : Signals and Systems (ES 156) Fall 2017 : Information Theory (ES 250) Contact Email: flavio (at) seas (dot) harvard (dot) edu Office: 33 Oxford St. Office MD 347 Cambridge, MA 02138 diff --git a/src/data/compiled_bios/1687.txt b/src/data/compiled_bios/1687.txt new file mode 100644 index 0000000000..284009d82e --- /dev/null +++ b/src/data/compiled_bios/1687.txt @@ -0,0 +1 @@ +Please click here if you are not redirected within a few seconds. Home Publications Research People News Contacts Navigate to... Home Publications Research People News Contacts 1 2 3 4 5 our publication our research Donhee Ham Programs Scalable NMR spectroscopy nano & quantum materials Nano-bio interface Complex systems Integrated circuits Home Welcome to our new web Science, technology across EE, Physics, & Biology We push boundaries across physics, electrical engineering, and biology/medicine for breakthroughs that can enhance our life and propel our economy. We investigate the fundamental properties of nanoscale, low-dimensional, and/or quantum materials and pursue their applications in plasmonics, photonics, nano-biotechnology, quantum information, as well as (beyond-CMOS) electronics. We also develop solid-state electronic chips with various physical and chemical interfaces for applications in structural biology, drug discovery, neurotechnology, and molecular diagnostics. Other efforts include integrated circuits design and complex systems. Postdoctoral opportunities We are seeking candidates with doctoral degrees (in physics, EE, biology, bioengineering, or related field) in the areas of: 1) low-dimensional and quantum materials ; 2) semiconductor-bio interfaces ; and 3) solitonic power technology. The first area is focused particularly on low-dimensional materials and their applications in electronics, optoelectronics, and photonics. The second area is focused on massively parallel nano-bio interface array on semiconductor electronic chips with a special focus on neuroscience and cardiology ( an example paper is here ). The third area has emerged from a new initiative in energy science. Interested applicants please send CV and names of at least 2 references to donhee@seas.harvard.edu. Harvard University seeks to find, develop, promote, and retain the world's best scholars. Harvard is an Affirmative Action/Equal Opportunity Employer. Applications from women and minority candidates are strongly encouraged. Latest Highlights 2019 ESSCIRC/ESSDERC Joint Plenary Speech 2018 HBI Beauty of the Brain ARPA-E OPEN Award (1.68 million dollars) & Postdoc Positions More Highlights Our sponsors 1 2 3 Harvard University 33 Oxford Street, Cambridge, MA 02138 p: 617-496-9451 | donhee@seas.harvard.edu | Contact Us 2014 Harvard University. Website created by Hosang Yoon and Donhee Ham diff --git a/src/data/compiled_bios/1688.txt b/src/data/compiled_bios/1688.txt new file mode 100644 index 0000000000..810da6fc5b --- /dev/null +++ b/src/data/compiled_bios/1688.txt @@ -0,0 +1 @@ +Evelyn Hu Tarr-Coyne Professor of Applied Physics and of Electrical Engineering Participant, Nanoscale Science and Engineering Center Office: Pierce 112 Email: ehu@seas.harvard.edu Office Phone: (617) 496-1385 Assistant: Stephanie A. Vincent Assistant Office: Pierce 310 Assistant Phone: (617) 496-1877 Research Mgr: Sarah Lefebvre : Profile Our ability to modulate the materials at nanometer length scales allows us to modify the electronic or photonic energy states of that material, thus transforming their properties and applications.For example, modulating the dielectric constant of materials like GaAs, GaN or diamond, at the length scale of a wavelength, can produce exquisitely tuned optical filters, waveguides or a means to slow or store light itself. We can engineer the number and signature energies of the optical states of such nanophotonic structures, and match them to optical sources, such as quantum dots, quantum wells or color centers in diamond.The results so far include lasers with record low threshold values, triggered single photon sources, enhanced extraction of light from InGaN light emitting diodes, and new, coupled light-matter states. The implications are far-ranging: from energy-efficient optical sources to exploration of quantum information processing.Sculpting nanostructures from solid state materials requires tools and processes that have high spatial precision, but which themselves introduce the minimum damage to the material.Our group has focused on developing such techniques, while at the same time exploring the bottom-up formation of heterogeneous materials from nanoscale building blocks. Creating new materials from composites of semiconducting, insulating and metallic nanoparticles allows the formation of truly three-dimensional structures that can display improved functionality, such as broad, engineered optical absorption, or distributed carrier collection for a large area, efficient optical absorber.Important issues here are related to the nature of the interfaces between the nanoparticles, and controlling the hierarchical architecture that determines the positions of the components. We have explored a variety of techniques, including a method of templating materials on a biological structure (virus), where the materials-specific linkers are specially identified peptides. We have used these to form metal-semiconductor hybrid materials. diff --git a/src/data/compiled_bios/1689.txt b/src/data/compiled_bios/1689.txt new file mode 100644 index 0000000000..23bbb9f100 --- /dev/null +++ b/src/data/compiled_bios/1689.txt @@ -0,0 +1 @@ +Vijay Janapa Reddi Associate Professor of Electrical Engineering Associate in Electrical Engineering Email: vjreddi@seas.harvard.edu Assistant: Molly A. Marshall Assistant Office: Maxwell Dworkin 342 Assistant Phone: (617) 496-2942 Research Mgr: Kathleen Marie Kelley : Profile Vijay Janapa Reddi is interested in building high-performance and energy-efficient computer systems to usher in new applications and services that can make the world a better place. He specializes in computer architecture solutions for mobile computing (smartphones and wearables) and autonomous agents (ground service robots and UAVs). He also designs and implements solutions for cloud computing and the Internet of Things (IoT). His unique approach is to break through the traditional layers of abstraction at the hardware and software interfaces, and co-design the system from programming languages down to the bits and gates to achieve a practical domain specific solution. Professor Janapa Reddi received the B.S. degree in Electrical and Computer Engineering in 2003, the M.S. degree in Computer Engineering from the University of Colorado at Boulder, the Ph.D. degree in Computer Science from Harvard University in 2010. diff --git a/src/data/compiled_bios/169.txt b/src/data/compiled_bios/169.txt new file mode 100644 index 0000000000..033e86d8e0 --- /dev/null +++ b/src/data/compiled_bios/169.txt @@ -0,0 +1 @@ + Menu about research projects research group Lillian J. Ratliff Assistant Professor, EE UW Lillian (Lily) Ratliff is an Assistant Professor in the Department of Electrical Engineering at the University of Washington. Prior to joining UW she was a postdoctoral researcher in EECS at UC Berkeley (2015-2016) where she also obtained her PhD (2015) under the advisement of Shankar Sastry. She holds a MS (UNLV 2010) and BS (UNLV 2008) in Electrical Engineering as well as a BS (UNLV 2008) in Mathematics. Her research interests lie at the intersection of game theory, optimization, and learning. She draws on theory from these areas to develop new theoretical models of human decision-making in societal-scale cyber-physical systems (e.g., intelligent infrastructure) and computational schemes to shape the outcome of competitive interactions. 2018 Lillian Ratliff. Powered by Jekyll . diff --git a/src/data/compiled_bios/1690.txt b/src/data/compiled_bios/1690.txt new file mode 100644 index 0000000000..bdc797f233 --- /dev/null +++ b/src/data/compiled_bios/1690.txt @@ -0,0 +1 @@ + Skip to main content Main Menu HARVARD.EDU Na (Lina) Li Thomas D. Cabot Associate Professor of Electrical Engineering and Applied Mathematics MD 345, 33 Oxford St, Cambridge, MA 02138; Email: nali@seas.harvard.edu; Phone: 617-496-1441 Home People Bio Publications Journal Conference Book (Chapter) Teaching Awards and Honors I am a Thomas D. Cabot associate professor in Electrical Engineering and Applied Mathematics of the School of Engineering and Applied Sciences (SEAS) at Harvard University and a faculty associate at Harvard Unversity Center for the Environment (HUCE) and Harvard Center for Green Buildings and Cities. I received mybachelor's degree in Mathematics in 2007 from Zhejiang University andPh.D. degree in Control and Dynamical Systems (CDS) in 2013 from California Institute of Technology. Then I did one-year postdoctoral research in Laboratory for Information and Decision Systems (LIDS) in Massachusetts Institute of Technology. I started my appointment as an assistant professor at Harvard in 2014. My research lies in the learning, optimization,and control of network systems, with particular applications to cyber-physical systems.The goal is to develop foundational theories and tools to explore and exploit real-world system structures that can lead to computationally efficient and distributed solutions and apply them to improve systems operations and architecture. My research has been interdisciplinary in nature, integrating mathematical tools including data analysis,game theory, information theory, dynamical programming, reinforcement learning, optimization, and control. I have received NSF CAREER Award, AFOSR YIP Award, ONR YIP Award, Harvard Climate Change Solution Fund, Harvard PSE Accelerator Award, CDC best student paper award finalist, CCTA best student paper award finalist (as an adviser) etc. Google scholar page. CV.pdf 144 KB Latest News 12/2018: I received 2019 ONR YIP award for "Real-Time Distributed Coordination of Multi-Agent Systems Under Limited Communication". 10/2018: We received an NSF award for " EAGER: Real-Time: Learning, Selection, and Control in Residential Demand Response for Grid Reliability " (collaboration with ThinkEco Inc. ) 07/2018: I was appointed as an Associate Editor ofthe IEEE Control Systems Letters , effective Jan 1, 2019. 06/2018: Our paper of" Distributed Greedy Algorithm for Multi-Agent Task Assignment Problem with Submodular Utility Functions " was provisionally accepted to Automatica. 06/2018: Our paper of " On the Exponential Stability of Primal-Dual Gradient Dynamics " was accepted to IEEE Control System Letters. 06/2018: Our paper of" Communication Complexity of Distributed Resource Allocation Optimization " was accepted to IEEE JSTSP:Special Issue on Signal and Information Processing for Critical Infrastructures. 06/2018: Xin Chen was selected as one of the two finalists of best student paper award in the IEEE Conference on Control Technology and Applications (CCTA) for our paper, " Distributed Automatic Load-Frequency Control with Optimality in Power Systems ". 03/2018: I was prompted to the rank ofAssociate Professor, effective July 1, 2018. 03/2018: Our paper of " Passivity-Based Distributed Optimization with Communication Delays Using PI Consensus Algorithm " has been accepted to IEEE Transactions on Automatic Control. 01/2018: Our paper of "An Optimal and Distributed Feedback Voltage Control under Limited Reactive Power" has been accepted to PSCC. 01/2018: Three of our ACC papers have been accepted. 01/2018: We received the HarvardClimate Change Solutions Fund to assess how renewable energies impact the reliability of electricity grid. Office Hours Monday: 11-12pm, Tuesday: 11:30-12pm The office hours are open to anyone, either undergraduate or graduate students, who would like to chat and discuss. No need to make appointments if you come during office hours. For Prospective Students I am always looking for highly-motivated students with a strong mathematical background and interests in theory and computation. Students who are interested in working with large-scale systems-- in particular, large-scale optimization and control for networked systemsare encouraged to apply. Application information can be found here . Apologies for not being able to answer your inquiry emails about the application. Admin Login OpenScholar Copyright 2019 The President and Fellows of Harvard College | Accessibility | Report Copyright Infringement diff --git a/src/data/compiled_bios/1691.txt b/src/data/compiled_bios/1691.txt new file mode 100644 index 0000000000..934193689f --- /dev/null +++ b/src/data/compiled_bios/1691.txt @@ -0,0 +1 @@ +Marko Loncar Tiantsai Lin Professor of Electrical Engineering Faculty Associate, Center for Nanoscale SystemsParticipant, Nanoscale Science and Engineering Center Office: 107C Pierce Hall Email: loncar@seas.harvard.edu Office Phone: (617) 495-5798 Office Fax (617) 496-6404 Lab Name: Laboratory for Nanoscale Optics Lab Location: 219 McKay Laboratory Assistant: Kathleen L. Masse Assistant Office: Pierce Hall 118 Assistant Phone: (617) 495-4202 Research Mgr: Stacia Zatsiorsky : Profile Marko Lonar's research focuses on phenomena resulting from the interaction of light and matter on a nano-scale level. These phenomena include efficient light confinement and emission within photonic crystals, light generation in engineered semiconductors (e.g. nanowires, quantum dots, quantum cascade lasers), manipulation of nano-scale objects using guided waves. He is interested in development of functional nano-photonic devices, and their integration into systems, that can be used for optical communication and optical signal processiong, life sciences and quantum optics. Particular areas of interest include: Periodic optical structures: e.g. photonic crystal devices, metamaterials and metalo-dielectric structures in general Classical and and non-classical light sources based on nanostructures Plasmonics Nanofabrication techniques Nanoscale electro-mechanical (NEMS) and opto-mechanical (NOMS) devices and systems Application of nanophotonics in life sciences (e.g. bio-chemical sensors) Mid-infrared and far-infrared devices and systems, including quantum cascade lasers diff --git a/src/data/compiled_bios/1692.txt b/src/data/compiled_bios/1692.txt new file mode 100644 index 0000000000..a744350f62 --- /dev/null +++ b/src/data/compiled_bios/1692.txt @@ -0,0 +1 @@ + Skip to main content Main Menu Search HARVARD.EDU Yue M. Lu Signal and Information Processing 231 Maxwell Dworkin | 33 Oxford Street | Cambridge, MA 02138 yuelu@seas.harvard.edu Contact Home Bio/CV Publications Teaching People Code I am an Associate Professor of Electrical Engineering atthe Harvard John A. Paulson School of Engineering and Applied Sciences. My research interests include theoretical and algorithmic aspects of high-dimensional signal and information processing,imaging, multidimensional sampling theory, multiscale geometrical representations, and image processing. News (11/08/18) New paper: Optimal spectral method for high-dimensional signal estimation (10/19/18) Elected to the Big Data Special Interest Group (SIG) of the IEEE Signal Processing Society (09/26/18) New paper: Nonconvex optimization meets low-rank matrix factorization (05/27/18) Phase retrieval via polytope optimization: Geometry, phase transitions, and new algorithms (05/08/18) Subspace estimation from incomplete observations: a high dimensional analysis (05/02/18) Paper to appear at the Proceedings of the IEEE (Streaming PCA and subspace tracking: the missing data case) (04/16/18) ICASSP tutorial on nonconvex methods for high-dimensional statistical estimation (slides available online) (12/11/17) Best Student Paper Award (First Prize) at IEEE CAMSAP (12/06/17) Understanding the Dynamics of Online Learning Algorithms via Scaling and Mean-Field Limits (09/12/17) The Scaling Limit of High-Dimensional ICA (NIPS spotlight) (08/15/17) Fundamental Limits of PhaseMax for Phase Retrieval: A Replica Analysis (04/03/17) Exact high-dimensional analysis of subspace learning from highly incomplete information (02/21/17) Phase transitions of spectral initialization for nonconvex estimation (11/24/16) Average-Case Performance Analysis of ProSparse and Phase Transitions (09/09/16) Dynamics and phase transitions of online sparse PCA in high dimensions (07/10/16) Kaczmarz method for solving quadratic equations (06/30/16) Research Leave at Duke University (01/01/16) I am now an Associate Professor of Electrical Engineering at Harvard SEAS. (12/24/15) I have been elected to the IEEE SPTM Technical Committee (12/11/15) Seminar at MIT RLE Search Admin Login OpenScholar Copyright 2019 The President and Fellows of Harvard College | Accessibility | Report Copyright Infringement diff --git a/src/data/compiled_bios/1693.txt b/src/data/compiled_bios/1693.txt new file mode 100644 index 0000000000..cd08f32828 --- /dev/null +++ b/src/data/compiled_bios/1693.txt @@ -0,0 +1 @@ +Gu-Yeon Wei Robert and Suzanne Case Professor of Electrical Engineering and Computer Science Office: Maxwell Dworkin 333 Email: guyeon@seas.harvard.edu Office Phone: (617) 384-8131 Office Fax (617) 496-6404 Lab Location: 313 Maxwell Dworkin Lab Phone: (617) 496-1003 Assistant: Carol Harlow Assistant Office: Maxwell Dworkin 343 Assistant Phone: (617) 496-1440 Research Mgr: Benjamin Garvin : Profile Gu-Yeon Wei's research group focuses on various aspects of high-speed, low-power digital and mixed-signal VLSI circuits. Significant advances in modern CMOS technology have enabled highly complex machines capable of executing extremely high levels of computation with performance doubling every few years. However, this performance comes at the cost of higher power dissipation. At the other end of the spectrum, portable electronic devices demand low-power, energy-efficient operation. Wei's research group investigates the interactions between VLSI circuits, computer architecture, and software layers to enhance energy efficiency in future computing systems. Current research projects span a variety of topics such as integrated voltage regulators and associated computer architecture techniques to maximize its utility; flexible voltage stacking to address power delivery challenges in complex digital systems; power electronics to drive piezoelectric actuators for RoboBees, low-power computing architectures and circuits to serve as the 'brain' for RoboBees; collaborative computer architecture and circuit solutions to address process, voltage, and temperature (PVT) variations; runtime compilers to automatically parallelize inherently sequential code; and others. Prior research efforts focused on high-speed wireline transceivers and related building blocks. Wei received his B.S.E.E., M.S., and Ph.D. in Electrical Engineering from Stanford University in 1994, 1997, and 2001, respectively. In August 2000, he joined Accelerant Networks (now a part of Synopsys) in Beaverton, Oregon as a Senior Design Engineer, where he worked on a 5-Gbps backplane transceiver with adaptive equalization. As the internet bubble was showing signs of bursting, he joined Harvard University in January 2002. Besides his research activities, he currently teaches students how to design chips in the VLSI Design course (CS148/CS248) and think about important circuits and systems issues through a graduate-level reading course that covers a wide range of topics related to Mixed-Signal IC Design (ES271r).As of July 1, 2011, Wei also serves as the Associate Dean for Academic Programs at SEAS. Through this position, he hopes to enhance design and hands-on experiential learning throughout the engineering curriculum, and to make Harvard SEAS a vibrant community for future engineers and scientists. diff --git a/src/data/compiled_bios/1694.txt b/src/data/compiled_bios/1694.txt new file mode 100644 index 0000000000..96473bc753 --- /dev/null +++ b/src/data/compiled_bios/1694.txt @@ -0,0 +1 @@ +Robert J. Wood Charles River Professor of Engineering and Applied Sciences Nickname: Rob Office: 149 Maxwell Dworkin Building Email: rjwood@seas.harvard.edu Office Phone: (617) 496-1341 Office Fax (617) 495-8612 Lab Name: Microrobotics Lab Lab Location: 401 60 Oxford St. Lab Phone: (617) 384-7892 Assistant: Hetchen K. Ehrenfeld Assistant Office: Maxwell Dworkin Building 253 Assistant Phone: 617/495-5124 Research Mgr: Shweta Chhetri : Profile Robert Wood is the Charles River Professor of Engineering and Applied Sciences in the Harvard John A. Paulson School of Engineering and Applied Sciences, a founding core faculty member of the Wyss Institute for BiologicallyInspired Engineering and a National Geographic Explorer. Prof. Wood completed his M.S. and Ph.D. degrees in the Dept. of Electrical Engineering and Computer Sciences at the University of California, Berkeley. He is founder ofthe Harvard Microrobotics Lab which leverages expertise in microfabrication for the development of biologically-inspired robots with feature sizes on the micrometer to centimeter scale. His current research interests include newmicro- and meso-scale manufacturing techniques, fluid mechanics of low Reynolds number flapping wings, control of sensor-limited and computation-limited systems, active soft materials, wearable robots, and morphable soft-bodied robots. He is the winner of multiple awards for his work including the DARPA Young Faculty Award, NSF Career Award, ONR Young Investigator Award, Air Force Young Investigator Award, Technology Review's TR35, andmultiple best paper awards. In 2010 Wood received the Presidential Early Career Award for Scientists and Engineers from President Obama for his work in microrobotics. In 2012 he was selected for the Alan T. Waterman award, theNational Science Foundation's most prestigious early career award. In 2014 he was named one of National Geographic's "Emerging Explorers". Wood's group is also dedicated to STEM education by using novel robots to motivateyoung students to pursue careers in science and engineering. diff --git a/src/data/compiled_bios/1695.txt b/src/data/compiled_bios/1695.txt new file mode 100644 index 0000000000..524406a41d --- /dev/null +++ b/src/data/compiled_bios/1695.txt @@ -0,0 +1 @@ +Woodward Yang Gordon McKay Professor of Electrical Engineering and Computer Science Nickname: Woody Office: 325 Maxwell Dworkin Email: wyang@seas.harvard.edu Office Phone: (617) 495-3987 Office Fax (617) 495-9837 Assistant: Joanne M. Bourgeois Assistant Office: Pierce Hall 318 Assistant Phone: 617/495-2719 Research Mgr: Rady M. Rogers : Profile Woodward Yang is the Gordon McKay Professor of Electrical Engineering and Computer Science in the School of Engineering and Applied Sciences (SEAS) at Harvard University. In 2008, he was also appointed the first HBS University Fellow at Harvard Business School. Dr. Yang graduated from UC Berkeley with a BS in EECS and from MIT with a PhD in EECS immediately prior to joining the faculty at Harvard University in 1990 where his research activities have focused on the design and implementation of integrated circuits and systems including DRAM, CMOS image sensors, mixed-signal circuitry, and high performance image processing systems. His technical expertise includes semiconductor device physics, material science, microelectronic fabrication technology, circuit design, computer architecture, signal processing systems, and algorithms. His innovative and pioneering research results were highly recognized through the prestigious National Science Foundation Young Investigator and Army Young Investigator awards and as IEEE Distinguished Lecturer.Dr. Yang was also the founder and CEO of a DRAM design company formanyyears in Korea and Taiwan which designed and manufactured special purpose memory products. Throughout his career,Dr. Yang has been deeply involved with the semiconductor and electronics industry and is widely recognized for his work on the development andsuccessfulcommercialization of twodisruptive technologies, CMOS image sensors and pseudo-SRAM which are nowfound in almost every cell phone and other mobile devices. Dr. Yang's extensive experiences with business and industries lead to his broader interest in the economic and social impacts of science and technology. In 2005, Clayton Christensen and he organized a Leadership Forum at Harvard School of Engineering and Applied Sciences which included many of the leading companies in semiconductor and electronics industry including Intel, Samsung, Texas Instruments, TSMC, NVidia, and Applied Materials. One of the key conclusions of the workshop was the early insight that there were diminishing economic benefits for many industry segments in following Moore's Law and the use of more advanced but significantly more expensive manufacturing technologies. Over the past decade, this fact has become widely accepted in the industry. His broad research interestsare in exploring and understanding metrics and models of technologies, industries, economies, and business-government relationships that will aid in the realization of successful businesses and overall economic growth. While quantitative analytical approaches have been quite successful for developing an understanding of scientific and engineering problems, these same approaches have only met with limited success when applied to business, economic, and societal problems which exhibit significantly more complexity and unpredictability as a consequence of having many more unobservable and uncontrollable variables. In particular, he is interested in the unique challenges faced in trying to develop integrative business theories andpractical models which can be used in realistic situations especially in light of the differences incultures and governments in international settings such as the Far East. Dr. Yang is the co-director and one of the founding faculty of Harvard's new Masters in Design Engineering (MDE) which is offered collaboratively by SEAS and Harvard Graduate School of Design. This new 2 year, post-graduate professional degree program was created to educate students on comprehensive frameworks and strategies for creating, evaluating, and harnessing innovative ideas and for solving real-world problems with highly dynamic and complex global interconnections. diff --git a/src/data/compiled_bios/1696.txt b/src/data/compiled_bios/1696.txt new file mode 100644 index 0000000000..a1fea669c9 --- /dev/null +++ b/src/data/compiled_bios/1696.txt @@ -0,0 +1 @@ + Todd Zickler Professor, Harvard School of Engineering and Applied Sciences Home Page Home/Research :: Teaching/Advising :: People :: Publications :: Bio/CV I do computer vision, mainly using "physics-based" approaches that explicitly consider illumination, reflection, refraction, scattering, and imaging. A brief description of recent and ongoing research threads can be found below. For more, check out the publications and people pages. Sensors We are looking at different types of active and passive sensors that produce useful information about the world from measurements of radiant flux. Wide-angle Micro Sensors At least in the near term, micro-scale platforms like micro air vehicles and small sensor nodes are unlikely to have power, volume, and mass budgets to support conventional imaging and post-capture processing for detection, tracking, and so on. To help overcome this, we're considering sensor designs that allow some components of scene analysis to happen optically, before light strikes the sensor. This includes optical designs (PAMI 2013) and methods for learning useful optical projections (NIPS 2011) . For more, see Sanjeev's project page . This is part of, and largely motivated by, the RoboBees Project . Spectral Image Models for Sensing Collecting spectral image measurements, be they trichromatic or something else, requires giving up some spatial or temporal resolution. Depending on the task, certain schemes for sampling spectrum, space, and time will be more desirable than others; but regardless of the sampling pattern, reconstruction and scene analysis should be informed by the statistics of the underlying spectral light field. For this reason, we've collected a database of real-world hyperspectral images and taken an initial look at its statistics (CVPR 2011) . We have also designed a camera that leverages joint spatial and spectral statistics to provide depth information and an augmented depth-of-field (ECCV 2012) . Consumer Cameras as Radiometric Devices Most Internet images exist in narrow-gamut formats, with pixel values that are severely distorted by unknown tone-mapping operators. This limits our machines' abilities to use radiometric reasoning when interpreting these images, and it limits the utility of this vast weakly-labeled image collection for training future vision systems. To overcome these limitations, we are searching for reliable and scalable ways to undo the color distortions of consumer cameras. So far we have tried one approach that is deterministic (BMVC 2009) and an evolved one that is probabilistic (CVPR 2012) . Reconstruction Information about shape, materials, motion, and illumination are encoded in an image in various ways, and reconstruction is the process of recovering this scene information from the bottom up. Some examples we are exploring: Shape from Specular Reflections The way that a curved mirror distorts its environment tells us about its shape, and this information becomes even more accessible when the object moves. We've derived the PDE that relates specular motion to shape and analyzed conditions for a unique solution. We began with the 2D case and a non-linear formulation in three-dimensions (ICCV 2007) . Recently we've used a re-parameterization in terms of the reflection vector to derive a simple, linear PDE in 3D that is easy to analyze and use (ICCV 2009) , and often allows complete reconstruction from a single flow field (CVPR 2011) . Inferring Reflectance with Real-world Illumination Optical material properties tell us something about how an object will behave when acted upon, so inferring these properties from an image seems useful. Motivated by this goal, we've considered this toy problem: Given a single image of a known shape under unknown natural lighting, infer its surface reflectance function (BRDF). We solve this by reducing the dimension of the BRDF domain using a new symmetry constraint (ECCV 2008) and exploiting the statistics of natural lighting in a Bayesian framework (ECCV 2010) . For a summary, see our recent technical report . Shape from Reflectance Symmetries When recovering shape from diffuse shading we are faced with an intrinsic shape/lighting ambiguity. We show that almost any additive specular reflection component resolves this ambiguity. The basic idea is to exploit symmetries (reciprocity and isotropy) in the BRDF, which induce joint constraints on shape, lighting, and viewpoint. These constraints can be described on the Gaussian sphere (CVPR 2007) , or more conveniently on its abstraction, the real projective plane (CVPR 2009) . For a summary, see the journal version in PAMI 2011 . Object Color from Image Color The appearance of an object depends on the spectrum of the illuminant, and for object recognition and other tasks, it is helpful to "undo" these illumination effects. Toward this goal of "color constancy", we've described the conditions for linear and diagonal maps to be sufficient for mapping a color image to its canonical form (the image that would have been obtained by a standard observer under a standard illuminant) ( ICCV 2007 , SIGGRAPH 2008 ) and we've shown that spatial image decompositions allow accurate and efficient recovery of map parameters (PAMI 2012) , especially if we have multiple images of the same object as input (CVPR 2011) . Scene information from spatially-varying blur Blur is a form of image degradation caused by scene motion, camera motion, and scene relief. Since it is correlated with scene structure, blur can be used as a source of scene information. To exploit this cue, we need to answer two questions for each small image patch: Is the patch blurry or sharp? If it's blurry, what is the associated blur kernel? Our first crack at this uses a Gaussian scale mixture model for sharp image patches, and it works pretty well, at least for motion blur (CVPR 2010) . Color-based isolation of diffuse appearance Many powerful vision algorithms are predicated on the presence of diffuse (Lambertian) reflectance, and their performance often diminishes when this assumption is violated. It turns out that for dielectric materials under known light color, a "diffuse-only" image can often be obtained just by linearly transforming the RGB color space (IJCV 2008) . Appearance Capture Scene understanding through processes like those above requires structural and statistical knowledge of the visual world. To this end, we're developing approaches to measure real-world shape and material information very efficiently and accurately. In addition to providing good "priors" for computer vision systems, these approaches are useful for "capturing appearance" to enhance physical realism in graphics applications. What distinguishes appearance capture from the passive scene understanding described above is that we have: 1) the luxury of multiple images and/or active manipulation of lighting to induce additional constraints on the scene; and 2) higher expectations in terms of precision and physical accuracy. We're exploring two complimentary types of approaches: Active Shape and Reflectance Capture For accurate results, reflectance must be obtained along with shape from a single set of images. We've shown that certain imaging configurations allow one to decouple shape and reflectance information in image data, so that each can be inferred without making assumptions about the other. This includes methods that exploit reciprocity (Helmholtz stereopsis) , tangent plane symmetries (SIGGRAPH Asia 2008) , and reciprocal images with structured lighting (SIGGRAPH 2010) . Alternatively, we're exploring methods for inferring reflectance and shape at the same time, while relaxing the restrictions on both as much as possible (CVPR 2008) . A general overview of the area can be found in our tutorial and survey: FnT CVG 2008 . Internet-based Appearance Capture An alternative approach is to learn about appearance by exploiting the billions of images and videos being shared online. For example, we've shown that Facebook's social incentives for humans to manually associate names with faces has produced a wealth of labeled face data (Proc. IEEE 2010) . We've also shown that radiometrically-calibrated web-cam image sequences of outdoor scenes can be used to recover geometry and materials (CVPR 2008) . Ideally, we'd like to extract veridical shape and materials from other online imagery as well (Flickr, Google Images, etc.) but as described above, this would require reliable methods for undoing the "blackbox" tone-mapping operators of consumer cameras (CVPR 2012) . View Edit Print Page last modified on January 18, 2013, at 02:37 PM Copyright Todd Zickler - All Rights Reserved diff --git a/src/data/compiled_bios/1697.txt b/src/data/compiled_bios/1697.txt new file mode 100644 index 0000000000..e5f4c00caf --- /dev/null +++ b/src/data/compiled_bios/1697.txt @@ -0,0 +1 @@ + Bettina Kemme Associate Professor Director School of Computer Science McGill University Montreal, Canada ADDRESS: School of Computer Science McGill University 3480 University Street McConnell Engineering Building, Room 318 Montreal, Quebec, Canada H3A 0E9 Telephone: +1-514-398 8930 Fax : +1-514-398 3883 E-mail: kemme at cs.mcgill.ca Office: MC 109N Dimplom (similar to M.Sc.) in Computer Science, Friedrich-Alexander University, Erlangen, Germany PhD in Computer Science, Swiss Federal Institute of Technology (ETH), Zurich, Switzerland. Teaching: Fall 2018: COMP-512 Distributed Systems Winter 2017: COMP-614 Distributed Data Management Research: My main focus lies in the design and development of distributed information systems. I am involved in several projects related to communication and information management such as large-scale data management in the cloud, transactional platform as a service, adaptability in multi-tier architectures, and distributed massively multi-player games. Detailed information and list of publications can be found at the webpage of the Distributed Information Systems Lab Quick Link to my publications on DBLP How to live life? Having lived in a couple of very different countries it took me some time to figure out which is the best way to live. I have been trying to combine Spanish "alegra" (zest for life) with American belief in freedom, and Swiss efficiency. Canada added the beauty of a multicultural society. And in my heart, I have always been German. But now there are two very simple answers: Sophia and Maya diff --git a/src/data/compiled_bios/1698.txt b/src/data/compiled_bios/1698.txt new file mode 100644 index 0000000000..40dbac4d20 --- /dev/null +++ b/src/data/compiled_bios/1698.txt @@ -0,0 +1 @@ + Home Research Publications Software Teaching People Links Contact Mathieu Blanchette's Computational Genomics Lab OUR RESEARCH We develop cutting-edge computational approaches to key questions in genomics and evolution. We design algorithmic, machine learning, and statistical approaches to solve real-world questions from biology, and work in tight collaboration with biologists, biochemists, and geneticists to put our tools to use to make biological discoveries. We are particularly interested in: (i) How do genomes evolve, and what does that tell us about their functions? (ii) How is gene expression regulated, and what role does 3D chromosome organization play? Ancestral genomics. In early work, we showed that the complete genomes of certain ancient mammls living more than 70 million years ago can be inferred computational with remarkable accuracy. We continue our work to improve ancestral genome reconstruction and push back the limits of reconstructability. We are now designing approaches to use these computationally reconstructed mammalian genomes to improve the detection of transcription factor binding sites, micro-RNA target sets and remnants of ancient transposable elements and pseudogenes. Key collaborator: Abdoulaye Banire Diallo ( Computer Science, McGill). Transposable element annotation. We are developing PIATEA, a system to integrate multiple types of evidence for the prediction of transposable elements. PIATEA uses a multivariate Hidden Markov Model to integrate both computational and experimental evidence. Key collaborator: Thomas Bureau ( Biology, McGill). 3D genomics Chromosomes are folded in each cell's nucleus in a highly complex yet organized and dynamic manner. Experimental approaches (e.g. 5C, Hi-C) have emerged to indirectly measure chromosome conformation. We develop computational approaches to interpret this noisy data, including statistical normalization, high-resolution intra and inter-chromosomal contact frequency estimation, to 3D modeling and identification of conformational biomarkers of cancer. Key collaborator: Josee Dostie ( Biochemistry, McGill). Plant genome assembly and evolution Plant genomes have complex histories of polyploidization which makes many of them difficult to assemble yet powerful models of evolution. We are developing algorithms to assemble and compare genomes to identify key regulatory regions and study their evolution. Key collaborator: Stephen Wright ( Ecology and Evolutionary Biology, U. of Toronto). Epigenetic and gene regulation Changes in DNA methylation is associated to changes in gene expression, cell types, and disease state. We are developing statistical approaches to maximize the interpretability of epigenetic data derived from complex samples. We are also working on machine learning approaches to better understand cell-type specificity in gene regulation. Key collaborators: Tomi Pastinen ( Human Genetics, McGill). Elin Grundberg ( Human Genetics, McGill). Doina Precup ( Computer Science, McGill). Rob Sladek ( Medicine, McGill). Celia Greewood ( Biostatistics and Epidemiology, McGill). Plant genome assembly and evolution Plant genomes have complex histories of polyploidization which makes many of them difficult to assemble yet powerful models of evolution. We are developing algorithms to assemble and compare genomes to identify key regulatory regions and study their evolution. Key collaborator: Stephen Wright ( Ecology and Evolutionary Biology, U. of Toronto). mRNA localization How do cells identify mRNAs that need to be localized to specific subcellular localization, and how to they bring it there? With our collaborators, we take an experimental/computational approach to the problem. Key collaborators: Eric Lecuyer ( Institut de Recherche Clinique). Jerome Waldispuhl ( Computer Science, McGill). A multidisciplinary team The lab's students come from all over the world and bring a wide variety expertise. MEET THE TEAM Prof. Mathieu Blanchette (Lab. Head) Curriculum Vitae Email After completing his Ph.D. (U. of Washington, 2002) and postdoc (UC Santa Cruz, 2003), Mathieu joined the School of Computer Science at McGill and founded the Computational Genomics Lab. The research made by his awesome team has been published in more than 70 publications. Recently elected member of the College of Scholar of the Canadian Royal Society, he was a Sloan Fellow (2009), and received the Outstanding Young Computer Scientist Researcher Prize from the Canadian Association for Computer Science (2012), and the Chris Overton prize (2006). He loves teaching and supervising students, and received the Leo Yaffe prize for teaching (2008). Douglas Hoen (Postdoc) Doug works on multiple aspects of transposable element identification, studies their domestication, and leads our TE benchmarking effort . Glenn Hickey (Postdoc) Glenn leads PIATEA, our project to annotate transposable elements using a multivariate Hidden Markov Model. Adrian Platts (Bioinformatician) Adrian works on a multitude of projects related to plant genome assembly, annotation, and comparisons. Christopher Cameron (Ph.D. student) Chris is a machine learning expert working on the analysis of 5C and Hi-C data, aiming to maximize the resolution and accuracy that can be obtained from these data. Co-supervised by Josee Dostie. Pablo Cingolani (Ph.D. student) Pablo develops computational approaches to facilitate genome-wide association studies and maximize its power in the presence of epistasis. Co-supervised by Rob Sladek. Rola Dali (Ph.D student) Rola is a molecular biologist by training who recently completed a transition toward bioinformatics. She studies gene expression in brain cancer, as well as chromosomal organization within the nucleus from Hi-C data. Mickael Leclercq (Ph.D. student) Mickael is our micro-RNA expert. He develops machine learning approaches to identify them and their targets, and studies their expression and evolution. Co-supervised by Aboudlaye Banire Diallo. Airin Ahia-Tabibi (Ph.D. student) Airin digs through ancient genomes to find traces of extinct transposable elements and Faizy Ahsan (M.Sc. student) Faizy develops cutting-edge machine learning approaches to predict and understand enhancer cell-type specificity. Co-supervised by Doina Precup. Maia Kaplan (M.Sc. student) Maia combines her computational and wet lab skills to study the function of domesticated transposable elements. Co-supervised by Thomas Bureau. Willie Chang (Ugrad student) Willy develops an approach to infer chromatin contacts from ChIP-seq data. Marc-Antoine Dumais (Ugrad student) Marc-Antoine deals with allele-specific chromosome conformation. LAB ALUMNI (to be completed) Krister Swenson (postdoc, 2014), now an assistant professor at Universite Montpellier 2 (France) James Wagner (PhD, 2014), Analyst, Epic (USA) Mathieu Lavallee-Adam (PhD, 2013), now a postdoc at the Scripps Institute (Yates Lab) Abdoulaye Banire-Diallo (PhD, 2009), now an associate professor at UQAM (Computer Science) Javad Sadri (postdoc, 2011), now a lecturer at Concordia University (Computer Science) Pierre-Etienne Jacques (postdoc, 2006), now a assistant professor at Universite de Sherbrooke (Biology) WE ARE HIRING! We are always on the lookout for new talents. Undergrad or graduate student, postdoc or programmer, contact us if you want to join the lab! PUBLICATIONS Leclercq M, Diallo AB, Blanchette M. (2017). Prediction of Human miRNA Target Genes using Computationally Reconstructed Ancestral Mammalian Sequence. Nucleic Acids Research. 45(2):556-566. Pubmed Dali R and Blanchette M. (2017). A Critical Assessment of Topologically Associating Domain Prediction Tools. Nucleic Acids Research. In press. Pubmed Joly-Lopez Z, Hoen DH, Blanchette M, Bureau T. (2016) Phylogenetic and genomic analyses resolve the origin of important plant genes derived from transposable elements. Molecular Biology and Evolution. 33 (8): 1937-1956. Pubmed. Swenson K., Simonaitis P, Blanchette M. (2016) Models and Algorithms for Genome Rearrangement with Positional Constraints. Algorithms for Molecular Biology. 11:13. Pubmed. Busche S, Shao X, Caron M, Kwan T, Allum F, Cheung WA, Ge B, Westfall S, Simon MM; Multiple Tissue Human Expression Resource, Barrett A, Bell JT, McCarthy MI, Deloukas P, Blanchette M, Bourque G, Spector TD, Lathrop M, Pastinen T, Grundberg E. (2015) Population whole-genome bisulfite sequencing across two tissues highlights the environment as the principal source of human methylome variation. Genome Biol. 2015 Dec 23;16(1):290. Pubmed . Malina A, Cameron CJ, Robert F, Blanchette M, Dostie J, Pelletier J. (2015) PAM multiplicity marks genomic target sites as inhibitory to CRISPR-Cas9 editing. Nature Communications. Dec 8;6. Pubmed Hoen DR, Hickey G, Bourque G, Casacuberta J, Cordaux R, Feschotte C, Fiston-Lavier AS, Hua-Van A, Hubley R, Kapusta A, Lerat E, Maumus F, Pollock DD, Quesneville H, Smit A, Wheeler TJ, Bureau TE, Blanchette M. A call for benchmarking transposable element annotation methods. Mob DNA. 2015 Aug 4;6:13. Pubmed ; Edger PP, Heidel-Fischer HM, Bekaert M, Rota J, Glckner G, Platts AE, Heckel DG, Der JP, Wafula EK, Tang M, Hofberger JA, Smithson A, Hall JC, Blanchette M, Bureau TE, Wright SI, dePamphilis CW, Eric Schranz M, Barker MS, Conant GC, Wahlberg N, Vogel H, Pires JC, Wheat CW. The butterfly plant arms-race escalated by gene and genome duplications. Proc Natl Acad Sci U S A. 2015 Jul 7;112(27):8362-6. PubMed Butyaev A, Mavlyutov R, Blanchette M, Cudr-Mauroux P, Waldisphl J. A low-latency, big database system and browser for storage, querying and visualization of 3D genomic data. Nucleic Acids Res. 2015 May 18. pii: gkv476. PubMed . Williamson RJ, Josephs EB, Platts AE, Hazzouri KM, Haudry A, Blanchette M, Wright SI. Evidence for widespread positive and negative selection in coding and conserved noncoding regions of Capsella grandiflora. PLoS Genet. 2014 Sep 25;10(9):e1004622. 10.1371/journal.pgen.1004622. eCollection 2014 Sep. PubMed ; Cingolani P, Sladek R, Blanchette M. BigDataScript: a scripting language for data pipelines. Bioinformatics. 2015 Jan 1;31(1):10-6. PubMed ; Rousseau M, Ferraiuolo MA, Crutchley JL, Wang XQ, Miura H, Blanchette M, Dostie J. Classifying leukemia types with chromatin conformation data. Genome Biol. 2014 Apr 30;15(4):R60. 10.1186/gb-2014-15-4-r60. PubMed ; Wagner JR, Busche S, Ge B, Kwan T, Pastinen T, Blanchette M. The relationship between DNA methylation, genetic and expression inter-individual variation in untransformed human fibroblasts. Genome Biol. 2014 Feb 20;15(2):R37. PubMed ; Rousseau M, Crutchley JL, Miura H, Suderman M, Blanchette M, Dostie J. Hox in motion: tracking HoxA cluster conformation during differentiation. Nucleic Acids Res. 2014 Feb;42(3):1524-40. 10.1093/nar/gkt998. PubMed PMID: 24174538; Kwak D, Kam A, Becerra D, Zhou Q, Hops A, Zarour E, Kam A, Sarmenta L, Blanchette M, Waldisphl J. Open-Phylo: a customizable crowd-computing platform for multiple sequence alignment. Genome Biol. 2013;14(10):R116. PubMed ; Cloutier P, Lavalle-Adam M, Faubert D, Blanchette M, Coulombe B. Methylation of the DNA/RNA-binding protein Kin17 by METTL22 affects its association with chromatin. J Proteomics. 2014 Apr 4;100:115-24. 10.1016/j.jprot.2013.10.008. Epub 2013 Oct 16. PubMed . Caignard G, Leiva-Torres GA, Leney-Greene M, Charbonneau B, Dumaine A, Fodil-Cornu N, Pyzik M, Cingolani P, Schwartzentruber J, Dupaul-Chicoine J, Guo H, Saleh M, Veillette A, Lathrop M, Blanchette M, Majewski J, Pearson A, Vidal SM. Genome-wide mouse mutagenesis reveals CD45-mediated T cell function as critical in protective immunity to HSV-1. PLoS Pathog. 2013 Sep;9(9):e1003637. 10.1371/journal.ppat.1003637. PubMed ; Haudry A, Platts AE, Vello E, Hoen DR, Leclercq M, Williamson RJ, Forczek E, Joly-Lopez Z, Steffen JG, Hazzouri KM, Dewar K, Stinchcombe JR, Schoen DJ, Wang X, Schmutz J, Town CD, Edger PP, Pires JC, Schumaker KS, Jarvis DE, Mandkov T, Lysak MA, van den Bergh E, Schranz ME, Harrison PM, Moses AM, Bureau TE, Wright SI, Blanchette M. An atlas of over 90,000 conserved noncoding sequences provides insight into crucifer regulatory regions. Nat Genet. 2013 Aug;45(8):891-8. PubMed . Slotte T, Hazzouri KM, gren JA, Koenig D, Maumus F, Guo YL, Steige K, Platts AE, Escobar JS, Newman LK, Wang W, Mandkov T, Vello E, Smith LM, Henz SR, Steffen J, Takuno S, Brandvain Y, Coop G, Andolfatto P, Hu TT, Blanchette M, Clark RM, Quesneville H, Nordborg M, Gaut BS, Lysak MA, Jenkins J, Grimwood J, Chapman J, Prochnik S, Shu S, Rokhsar D, Schmutz J, Weigel D, Wright SI. The Capsella rubella genome and the genomic consequences of rapid mating system evolution. Nat Genet. 2013 Jul;45(7):831-5. 10.1038/ng.2669. PubMed . Leclercq M, Diallo AB, Blanchette M. Computational prediction of the localization of microRNAs within their pre-miRNA. Nucleic Acids Res. 2013 Aug;41(15):7200-11. 10.1093/nar/gkt466. PubMed ; Zhang Y, Ponty Y, Blanchette M, Lcuyer E, Waldisphl J. SPARCS: a web server to analyze (un)structured regions in coding RNA sequences. Nucleic Acids Res. 2013 Jul;41(Web Server issue):W480-5. 10.1093/nar/gkt461. PubMed ; Forget D, Lacombe AA, Cloutier P, Lavalle-Adam M, Blanchette M, Coulombe B. Nuclear import of RNA polymerase II is coupled with nucleocytoplasmic shuttling of the RNA polymerase II-associated protein 2. Nucleic Acids Res. 2013 Aug;41(14):6881-91. 10.1093/nar/gkt455. PubMed ; Meunier C, Van Der Kraak L, Turbide C, Groulx N, Labouba I, Cingolani P, Blanchette M, Yeretssian G, Mes-Masson AM, Saleh M, Beauchemin N, Gros P. Positional mapping and candidate gene analysis of the mouse Ccs3 locus that regulates differential susceptibility to carcinogen-induced colorectal cancer. PLoS One. 2013;8(3):e58733. 10.1371/journal.pone.0058733. PubMed ; Cloutier P, Lavalle-Adam M, Faubert D, Blanchette M, Coulombe B. A newly uncovered group of distantly related lysine methyltransferases preferentially interact with molecular chaperones to regulate their activity. PLoS Genet. 2013;9(1):e1003210. 10.1371/journal.pgen.1003210. PubMed PMID: 23349634; Gagnon Y, Blanchette M, El-Mabrouk N. A flexible ancestral genome reconstruction method based on gapped adjacencies. BMC Bioinformatics. 2012;13 Suppl 19:S4. 10.1186/1471-2105-13-S19-S4. PubMed ; Blanchette M. Exploiting ancestral mammalian genomes for the prediction of human transcription factor binding sites. BMC Bioinformatics. 2012;13 Suppl 19:S2. 10.1186/1471-2105-13-S19-S2. PubMed ; Lavalle-Adam M, Rousseau J, Domecq C, Bouchard A, Forget D, Faubert D, Blanchette M, Coulombe B. Discovery of cell compartment specific protein-protein interactions using affinity purification combined with tandem mass spectrometry. J Proteome Res. 2013 Jan 4;12(1):272-81. 10.1021/pr300778b. PubMed ; Kawrykow A, Roumanis G, Kam A, Kwak D, Leung C, Wu C, Zarour E; Phylo players, Sarmenta L, Blanchette M, Waldisphl J. Phylo: a citizen science approach for improving multiple sequence alignment. PLoS One. 2012;7(3):e31362. 10.1371/journal.pone.0031362. PubMed ; Bongfen SE, Rodrigue-Gervais IG, Berghout J, Torre S, Cingolani P, Wiltshire SA, Leiva-Torres GA, Letourneau L, Sladek R, Blanchette M, Lathrop M, Behr MA, Gruenheid S, Vidal SM, Saleh M, Gros P. An N-ethyl-N-nitrosourea (ENU)-induced dominant negative mutation in the JAK3 kinase protects against cerebral malaria. PLoS One. 2012;7(2):e31012. 10.1371/journal.pone.0031012. PubMed ; Rousseau M, Fraser J, Ferraiuolo MA, Dostie J, Blanchette M. Three-dimensional modeling of chromatin structure from interaction frequency data using Markov chain Monte Carlo sampling. BMC Bioinformatics. 2011 Oct 25;12:414. 10.1186/1471-2105-12-414. PubMed ; Hickey G, Blanchette M. A probabilistic model for sequence alignment with context-sensitive indels. J Comput Biol. 2011 Nov;18(11):1449-64. PubMed . Mongin E, Dewar K, Blanchette M. Mapping association between long-range cis-regulatory regions and their target genes using synteny. J Comput Biol. 2011 Sep;18(9):1115-30. 10.1089/cmb.2011.0088. PubMed . Sadri J, Diallo AB, Blanchette M. Predicting site-specific human selective pressure using evolutionary signatures. Bioinformatics. 2011 Jul 1;27(13):i266-74. 10.1093/bioinformatics/btr241. PubMed ; Mongin E, Auer TO, Bourrat F, Gruhl F, Dewar K, Blanchette M, Wittbrodt J, Ettwiller L. Combining computational prediction of cis-regulatory elements with a new enhancer assay to efficiently label neuronal structures in the medaka fish. PLoS One. 2011;6(5):e19747. 10.1371/journal.pone.0019747. PubMed ; Lavalle-Adam M, Cloutier P, Coulombe B, Blanchette M. Modeling contaminants in AP-MS/MS experiments. J Proteome Res. 2011 Feb 4;10(2):886-95. PubMed ; Kim ED, Sabharwal A, Vetta AR, Blanchette M. Predicting direct protein interactions from affinity purification mass spectrometry data. Algorithms Mol Biol. 2010 Oct 29;5:34. 10.1186/1748-7188-5-34. PubMed ; Forget D, Lacombe AA, Cloutier P, Al-Khoury R, Bouchard A, Lavalle-Adam M, Faubert D, Jeronimo C, Blanchette M, Coulombe B. The protein interaction network of the human transcription machinery reveals a role for the conserved GTPase RPAP4/GPN1 and microtubule assembly in nuclear import and biogenesis of RNA polymerase II. Mol Cell Proteomics. 2010 Dec;9(12):2827-39. PubMed ; P Fraser J, Rousseau M, Blanchette M, Dostie J. Computing chromosome conformation. Methods Mol Biol. 2010;674:251-68. PubMed . Ferraiuolo MA, Rousseau M, Miyamoto C, Shenker S, Wang XQ, Nadler M, Blanchette M, Dostie J. The three-dimensional architecture of Hox cluster silencing. Nucleic Acids Res. 2010 Nov;38(21):7472-84. 10.1093/nar/gkq644. Epub 2010 Jul 25. PubMed ; Wagner JR, Ge B, Pokholok D, Gunderson KL, Pastinen T, Blanchette M. Computational analysis of whole-genome differential allelic expression data in human. PLoS Comput Biol. 2010 Jul 8;6(7):e1000849. PubMed ; Hickey G, Blanchette M, Carmi P, Maheshwari A, Zeh N. An approximation algorithm for the Noah's Ark problem with random feature loss. IEEE/ACM Trans Comput Biol Bioinform. 2011 Mar-Apr;8(2):551-6. 10.1109/TCBB.2010.37. PubMed PMID: 20479502. Lavalle-Adam M, Coulombe B, Blanchette M. Detection of locally over-represented GO terms in protein-protein interaction networks. J Comput Biol. 2010 Mar;17(3):443-57. 10.1089/cmb.2009.0165. PubMed . Hickey G, Blanchette M. A practical algorithm for estimation of the maximum likelihood ancestral reconstruction error. Pac Symp Biocomput. 2010:31-42. PubMed PMID: 19908355. Diallo AB, Makarenkov V, Blanchette M. Ancestors 1.0: a web server for ancestral sequence reconstruction. Bioinformatics. 2010 Jan 1;26(1):130-1. PubMed . Ge B, Pokholok DK, Kwan T, Grundberg E, Morcos L, Verlaan DJ, Le J, Koka V, Lam KC, Gagn V, Dias J, Hoberman R, Montpetit A, Joly MM, Harvey EJ, Sinnett D, Beaulieu P, Hamon R, Graziani A, Dewar K, Harmsen E, Majewski J, Gring HH, Naumova AK, Blanchette M, Gunderson KL, Pastinen T. Global patterns of cis variation in human cells revealed by high-density allelic expression analysis. Nat Genet. 2009 Nov;41(11):1216-22. 10.1038/ng.473. PubMed PMID: 19838192. Diallo AB, Badescu D, Blanchette M, Makarenkov V. A whole genome study and identification of specific carcinogenic regions of the human papilloma viruses. J Comput Biol. 2009 Oct;16(10):1461-73. 10.1089/cmb.2009.0091. PubMed . Bertrand D, Blanchette M, El-Mabrouk N. Genetic map refinement using a comparative genomic approach. J Comput Biol. 2009 Oct;16(10):1475-86. PubMed . Mongin E, Dewar K, Blanchette M. Long-range regulation is a major driving force in maintaining genome integrity. BMC Evol Biol. 2009 Aug 15;9:203. PubMed ; Hoberman R, Dias J, Ge B, Harmsen E, Mayhew M, Verlaan DJ, Kwan T, Dewar K, Blanchette M, Pastinen T. A probabilistic approach for SNP discovery in high-throughput human resequencing data. Genome Res. 2009 Sep;19(9):1542-52. PubMed ; Cloutier P, Al-Khoury R, Lavalle-Adam M, Faubert D, Jiang H, Poitras C, Bouchard A, Forget D, Blanchette M, Coulombe B. High-resolution mapping of the protein interaction network for the human transcription machinery and affinity purification of RNA polymerase II-associated complexes. Methods. 2009 Aug;48(4):381-6. 10.1016/j.ymeth.2009.05.005. PubMed ; Fraser J, Rousseau M, Shenker S, Ferraiuolo MA, Hayashizaki Y, Blanchette M, Dostie J. Chromatin conformation signatures of cellular differentiation. Genome Biol. 2009;10(4):R37. 10.1186/gb-2009-10-4-r37. PubMed PMID: 19374771; Fauteux F, Blanchette M, Strmvik MV. Seeder: discriminative seeding DNA motif discovery. Bioinformatics. 2008 Oct 15;24(20):2303-7. PubMed ; Blanchette M, Diallo AB, Green ED, Miller W, Haussler D. Computational reconstruction of ancestral DNA sequences. Methods Mol Biol. 2008;422:171-84. 10.1007/978-1-59745-581-7_11. PubMed . Coulombe B, Blanchette M, Jeronimo C. Steps towards a repertoire of comprehensive maps of human protein interaction networks: the Human Proteotheque Initiative (HuPI). Biochem Cell Biol. 2008 Apr;86(2):149-56. Review. PubMed ; Smith M, Blanchette M, Papadopoulou B. Improving the prediction of mRNA extremities in the parasitic protozoan Leishmania. BMC Bioinformatics. 2008 Mar 20;9:158. 10.1186/1471-2105-9-158. PubMed ; Chen X, Blanchette M. Prediction of tissue-specific cis-regulatory modules using Bayesian networks and regression trees. BMC Bioinformatics. 2007;8 Suppl 10:S2. 10.1186/1471-2105-8-S10-S2. PubMed ; Jeronimo C, Forget D, Bouchard A, Li Q, Chua G, Poitras C, Thrien C, Bergeron D, Bourassa S, Greenblatt J, Chabot B, Poirier GG, Hughes TR, Blanchette M, Price DH, Coulombe B. Systematic analysis of the protein interaction network for the human transcription machinery reveals the identity of the 7SK capping enzyme. Mol Cell. 2007 Jul 20;27(2):262-74. PubMed ; Diallo AB, Makarenkov V, Blanchette M. Exact and heuristic algorithms for the Indel Maximum Likelihood Problem. J Comput Biol. 2007 May;14(4):446-61. PubMed PMID: 17572023. Blin G, Blais E, Hermelin D, Guillon P, Blanchette M, El-Mabrouk N. Gene maps linearization using genomic rearrangement distances. J Comput Biol. 2007 May;14(4):394-407. PubMed . Blanchette M. Computation and analysis of genomic multi-sequence alignments. Annu Rev Genomics Hum Genet. 2007;8:193-213. Review. PubMed . Dufour CR, Wilson BJ, Huss JM, Kelly DP, Alaynick WA, Downes M, Evans RM, Blanchette M, Gigure V. Genome-wide orchestration of cardiac functions by the orphan nuclear receptors ERRalpha and gamma. Cell Metab. 2007 May;5(5):345-56. PubMed . Chen H, Blanchette M. Detecting non-coding selective pressure in coding regions. BMC Evol Biol. 2007 Feb 8;7 Suppl 1:S9. PubMed ; Ferretti V, Poitras C, Bergeron D, Coulombe B, Robert F, Blanchette M. PReMod: a database of genome-wide mammalian cis-regulatory module predictions. Nucleic Acids Res. 2007 Jan;35(Database issue):D122-6. PubMed PMID: 17148480; Ma J, Zhang L, Suh BB, Raney BJ, Burhans RC, Kent WJ, Blanchette M, Haussler D, Miller W. Reconstructing contiguous regions of an ancestral genome. Genome Res. 2006 Dec;16(12):1557-65. PubMed ; Chindelevitch L, Li Z, Blais E, Blanchette M. On the inference of parsimonious indel evolutionary scenarios. J Bioinform Comput Biol. 2006 Jun;4(3):721-44. PubMed . Fang F, Blanchette M. FootPrinter3: phylogenetic footprinting in partially alignable sequences. Nucleic Acids Res. 2006 Jul 1;34(Web Server issue):W617-20. PubMed ; Blanchette M, Bataille AR, Chen X, Poitras C, Laganire J, Lefbvre C, Deblois G, Gigure V, Ferretti V, Bergeron D, Coulombe B, Robert F. Genome-wide computational prediction of transcriptional regulatory modules reveals new insights into human gene expression. Genome Res. 2006 May;16(5):656-68. PubMed ; Guillemette B, Bataille AR, Gvry N, Adam M, Blanchette M, Robert F, Gaudreau L. Variant histone H2A.Z is globally localized to the promoters of inactive yeast genes and regulates nucleosome positioning. PLoS Biol. 2005 Dec;3(12):e384. PubMed ; Warr MR, Acoca S, Liu Z, Germain M, Watson M, Blanchette M, Wing SS, Shore GC. BH3-ligand regulates access of MCL-1 to its E3 ligase. FEBS Lett. 2005 Oct 24;579(25):5603-8. PubMed . Blanchette M, Green ED, Miller W, Haussler D. Reconstructing large regions of an ancestral mammalian genome in silico. Genome Res. 2004 Dec;14(12):2412-23. Erratum in: Genome Res. 2005 Mar;15(3):451. PubMed ; Sinha S, Blanchette M, Tompa M. PhyME: a probabilistic algorithm for finding motifs in sets of orthologous sequences. BMC Bioinformatics. 2004 Oct 28;5:170. PubMed ; Shnyreva M, Weaver WM, Blanchette M, Taylor SL, Tompa M, Fitzpatrick DR, Wilson CB. Evolutionarily conserved sequence elements that positively regulate IFN-gamma expression in T cells. Proc Natl Acad Sci U S A. 2004 Aug 24;101(34):12622-7. PubMed ; Bejerano G, Haussler D, Blanchette M. Into the heart of darkness: large-scale clustering of human non-coding DNA. Bioinformatics. 2004 Aug 4;20 Suppl 1:i40-8. PubMed . Blanchette M, Kent WJ, Riemer C, Elnitski L, Smit AF, Roskin KM, Baertsch R, Rosenbloom K, Clawson H, Green ED, Haussler D, Miller W. Aligning multiple genomic sequences with the threaded blockset aligner. Genome Res. 2004 Apr;14(4):708-15. PubMed ; Prakash A, Blanchette M, Sinha S, Tompa M. Motif discovery in heterogeneous sequence data. Pac Symp Biocomput. 2004:348-59. PubMed . Margulies EH, Blanchette M; NISC Comparative Sequencing Program, Haussler D, Green ED. Identification and characterization of multi-species conserved sequences. Genome Res. 2003 Dec;13(12):2507-18. PubMed ; Thomas JW, Touchman JW, Blakesley RW, Bouffard GG, Beckstrom-Sternberg SM, Margulies EH, Blanchette M, Siepel AC, Thomas PJ, McDowell JC, Maskeri B, Hansen NF, Schwartz MS, Weber RJ, Kent WJ, Karolchik D, Bruen TC, Bevan R, Cutler DJ, Schwartz S, Elnitski L, Idol JR, Prasad AB, Lee-Lin SQ, Maduro VV, Summers TJ, Portnoy ME, Dietrich NL, Akhter N, Ayele K, Benjamin B, Cariaga K, Brinkley CP, Brooks SY, Granite S, Guan X, Gupta J, Haghighi P, Ho SL, Huang MC, Karlins E, Laric PL, Legaspi R, Lim MJ, Maduro QL, Masiello CA, Mastrian SD, McCloskey JC, Pearson R, Stantripop S, Tiongson EE, Tran JT, Tsurgeon C, Vogt JL, Walker MA, Wetherby KD, Wiggins LS, Young AC, Zhang LH, Osoegawa K, Zhu B, Zhao B, Shu CL, De Jong PJ, Lawrence CE, Smit AF, Chakravarti A, Haussler D, Green P, Miller W, Green ED. Comparative analyses of multi-species sequences from targeted genomic regions. Nature. 2003 Aug 14;424(6950):788-93. PubMed . Blanchette M, Tompa M. FootPrinter: A program designed for phylogenetic footprinting. Nucleic Acids Res. 2003 Jul 1;31(13):3840-2. PubMed ; Blanchette M, Schwikowski B, Tompa M. Algorithms for phylogenetic footprinting. J Comput Biol. 2002;9(2):211-23. PubMed . Blanchette M, Tompa M. Discovery of regulatory elements by a computational method for phylogenetic footprinting. Genome Res. 2002 May;12(5):739-48. PubMed PMID: 11997340; Blanchette M, Sinha S. Separating real motifs from their artifacts. Bioinformatics. 2001;17 Suppl 1:S30-8. PubMed . Sankoff D, Blanchette M. Phylogenetic Invariants for Metazoan Mitochondrial Genome Evolution. Genome Inform Ser Workshop Genome Inform. 1998;9:22-31. PubMed PMID: 11072318. Blanchette M, Schwikowski B, Tompa M. An exact algorithm to identify motifs in orthologous sequences from multiple species. Proc Int Conf Intell Syst Mol Biol. 2000;8:37-45. PubMed . Sankoff D, Blanchette M. Phylogenetic invariants for genome rearrangements. J Comput Biol. 1999 Fall-Winter;6(3-4):431-45. Review. PubMed . Blanchette M, Kunisawa T, Sankoff D. Gene order breakpoint evidence in animal mitochondrial phylogeny. J Mol Evol. 1999 Aug;49(2):193-203. PubMed . Sankoff D, Blanchette M. Multiple genome rearrangement and breakpoint phylogeny. J Comput Biol. 1998 Fall;5(3):555-70. PubMed . Blanchette M, Bourque G, Sankoff D. Breakpoint Phylogenies. Genome Inform Ser Workshop Genome Inform. 1997;8:25-34. PubMed . Blanchette M, Kunisawa T, Sankoff D. Parametric genome rearrangement. Gene. 1996 Jun 12;172(1):GC11-7. PubMed . SOFTWARE --> MCMC5C Prediction of chromatin 3D structure --> BigDataScript Scripting language for big-data analysis pipelines --> MirAncestar Evolutionary microRNA target gene prediction . --> LESMoN Network-guided motif discovery GoNet GO annotation enrichment in networks Decontaminator Statistical analysis of AP-MS PPI data MirDup miRNA localization in pre-miRNA TEACHING COMP 204 Computer Programming for Life Sciences (Fall 2018) COMP 250 Introduction to Computer Science (Fall 2015) COMP 462/561 Computational Biology Methods (and Research) (Fall 2015) . COMP 499/616 Bioinformatics seminar (Fall 2015) COMP 401 Project in Biology and Computer Science (Fall 2015) LINKS (under construction) TO REACH US Contact Information Trottier Bldg, room 3107, located at 3630 University. Mailing address: McConnell Engineering Bldg. Room 318 3480 University, Montreal, Qc, Canada, H3A 0E9 (514) 398-5209 blanchem@cs.mcgill.ca $(function(){ $("#includedPubs").load("pubmed_result.html"); }); diff --git a/src/data/compiled_bios/1699.txt b/src/data/compiled_bios/1699.txt new file mode 100644 index 0000000000..28655f88c0 --- /dev/null +++ b/src/data/compiled_bios/1699.txt @@ -0,0 +1 @@ + Toggle navigation Yang Cai Home Publications Teaching Contact Yang Cai Assistant Professor and William Dawson Scholar School of Computer Science McGill University News I have moved to Yale University . I no longer update this webpage. Please visit this webpage instead. Biography I am an Assistant Professor and William Dawson Scholar at McGill Universitys School of Computer Science. Prior to joining McGill, I was a postdoc with Christos Papadimitriou at UC Berkeley. Before that, I finished my Ph.D. in the Theory of Computation group, Computer Science and Artificial Intelligence Lab at MIT under the supervision of Costis Daskalakis . I did my undergraduate study in the EECS department at Peking University. Current students: Mingfei Zhao , Mashbat Suzuki (co-supervised with Adrian Vetta ), Johannes Brustle, Paul Pereira (co-supervised with Doina Precup ). Interests Theory of Computation Economics and Computation Learning Online Algorithms Logic Education PhD in Computer Science, 2013 MIT BSc in Electrical Engineering and Computer Science, 2008 Peking University Selected Publications Jessie Huang, Fa Wu, Doina Precup, Yang Cai (2018). Learning Safe Policies with Expert Guidance . In NeurIPS . PDF arXiv Yang Cai, Constantinos Daskalakis (2017). Learning Multi-item Auctions with (or without) Samples . In FOCS . PDF arXiv Johannes Brustle, Yang Cai, Fa Wu, Mingfei Zhao (2017). Approximating Gains from Trade in Two-sided Markets via Simple Mechanisms . In EC . PDF arXiv Yang Cai, Mingfei Zhao (2017). Simple Mechanisms for Subadditive Buyers via Duality . In STOC , invited to the Special Issue of Games and Economic Behavior for STOC/FOCS/SODA . PDF arXiv Yang Cai, Nikhil R. Devanur, S. Matthew Weinberg (2016). A Duality Based Unified Approach to Bayesian Mechanism Design . In STOC , invited to the Special Issue of SIAM Journal on Computing for STOC and the 2017 Highlights of Algorithms . PDF Nicolas Bousquet, Yang Cai, Christoph Hunkenschrder, Adrian Vetta (2016). On the Economic Efficiency of the Combinatorial Clock Auction . In SODA . PDF arXiv Yang Cai, Constantinos Daskalakis, Christos Papadimitriou (2015). Optimum Statistical Estimation with Strategic Data Sources . In COLT . PDF arXiv Yang Cai, Constantinos Daskalakis, S. Matthew Weinberg (2013). Understanding Incentives: Mechanism Design becomes Algorithm Design . In FOCS , invited to the Special Issue of Games and Economic Behavior for STOC/FOCS/SODA . PDF arXiv Recent Publications More Publications Moshe Babaioff, Yang Cai, Yannai A. Gonczarowski, Mingfei Zhao . The Best of Both Worlds: Asymptotically Efficient Mechanisms with a Guarantee on the Expected Gains-From-Trade . In EC , 2018. PDF arXiv Yang Cai, Federico Echenique, Hu Fu, Katrina Ligett, Adam Wierman, Juba Ziani . Third-Party Data Providers Ruin Simple Mechanisms . 2018. PDF arXiv Yang Cai, Nikhil R. Devanur, Kira Goldner, R. Preston McAfee . Simple and Approximately Optimal Pricing for Proportional Complementarities . 2018. Yang Cai, Constantinos Daskalakis, S. Matthew Weinberg . A Constructive Approach to Reduced-Form Auctions with Applications to Multi-Item Mechanism Design . 2017. PDF arXiv Yang Cai, Nikhil R. Devanur, S. Matthew Weinberg . A Duality Based Unified Approach to Bayesian Mechanism Design . In SIGECOM Newsletter , 2016. PDF Source Document Yang Cai, Ozan Candogan, Constantinos Daskalakis, Christos Papadimitriou . Zero-sum Polymatrix Games: A Generalization of Minmax . In Mathematics of Operations Research , 2016. PDF Source Document Nicolas Bousquet, Yang Cai, Adrian Vetta . Welfare and Rationality Guarantees for the Simultaneous Multiple-Round Ascending Auction . In WINE , 2015. PDF arXiv Yang Cai, Constantinos Daskalakis . Extreme-Value Theorems for Optimal Multidimensional Pricing . In GEB , 2015. PDF Source Document Yang Cai, Constantinos Daskalakis, S. Matthew Weinberg . Reducing Bayesian Mechanism Design to Algorithm Design . In Encyclopedia of Algorithms , 2015. PDF Source Document Gagan Aggarwal, Yang Cai, Aranyak Mehta, George Pierrakos . Biobjective Online Bipartite Matching . In WINE , 2014. PDF Teaching Here is a list of courses Ive previously taught: COMP 362: Honours Algorithm Design. Winter 2018 COMP 360: Algorithm Design. Winter 2015 , Fall 2016 , Winter 2017, Fall 2017 COMP/MATH 553: Algorithmic Game Theory. Fall 2014 , Fall 2016 , Fall 2018 COMP 202: Foundations of Computing. Winter 2016 Contact cai@cs.mcgill.ca +1 (514) 398-7082 MC 324, McGill University, Montreal, Canada 2018 Powered by the Academic theme for Hugo . Cite Copy Download hljs.initHighlightingOnLoad(); diff --git a/src/data/compiled_bios/17.txt b/src/data/compiled_bios/17.txt new file mode 100644 index 0000000000..8e7098ec7a --- /dev/null +++ b/src/data/compiled_bios/17.txt @@ -0,0 +1 @@ + Ryan Matthew Cunningham Graduate Student 2211 Siebel Center for Comp Sci 201 N. Goodwin Ave. Urbana Illinois 61801 rcunnin2@illinois.edu Lecturer 2211 Siebel Center for Comp Sci 201 N. Goodwin Ave. Urbana Illinois 61801 rcunnin2@illinois.edu : . . . . diff --git a/src/data/compiled_bios/170.txt b/src/data/compiled_bios/170.txt new file mode 100644 index 0000000000..15f5560a32 --- /dev/null +++ b/src/data/compiled_bios/170.txt @@ -0,0 +1 @@ + People > Faculty Matthew S. Reynolds Matt Reynolds, Ph.D. Associate Professor CoMotion Presidential Innovation Fellow Electrical and Computer Engineering Ultra-low power sensing and computation, RFID, wireless power transfer, millimeter-wave imaging, biomedical applications M226 EEB Box 352500 University of Washington Seattle, WA 98195 Phone: (206) 616-5046 E-mail: matt.reynolds@ece.uw.edu (at)ee.washington.edu Massachusetts Institute of Technology (MIT) Ph.D 2003 Massachusetts Institute of Technology (MIT) M.Eng. 1999 Massachusetts Institute of Technology (MIT) S.B. 1998 Biosketch Matt Reynolds is an Associate Professor in the Department of Electrical and Computer Engineering at the University of Washington. He was previously the Nortel Networks Assistant Professor in the Department of Electrical and Computer Engineering at Duke University. He is also co-founder of the RFID systems firm ThingMagic Inc (acquired by Trimble Navigation), the energy conservation firm Zensi (acquired by Belkin), and the home sensing company SNUPI Inc (acquired by Sears). He is currently co-founder of the millimeter wave imaging firm ThruWave Inc. Matt's research interests include millimeter-wave sensing and imaging, RFID, energy efficiency at the physical layer of wireless communication, and the physics of sensing and actuation. Matt received the Ph.D. from the MIT Media Lab in 2003, where he was a Motorola Fellow, as well as S.B. and M.Eng. degrees in Electrical Engineering and Computer Science from MIT. He is a Senior Member of the IEEE, has received five Best Paper awards, the ACM Ubicomp 10-Year Impact Award, and has 47 issued US patents and over 65 pending patent applications. Teaching Winter 2017: EE 417: Modern Wireless Communications Autumn 2016: EE 500 / EE 491: Graduate and Undergraduate Colloquia Winter 2016: EE 417: Modern Wireless Communications Autumn 2015: EE 500 / EE 491: Graduate and Undergraduate Colloquia Spring 2015: CSE 477: Digital System Design (Capstone) Winter 2015: EE 417: Modern Wireless Communications Spring 2014: EE 332: Devices and Circuits II Fall 2014: EE 599: Special Topics: The Physical Layer of Sensor Networks Research Interests Prof. Reynolds' research interests include RFID, ultra-low power sensing and computation, energy harvesting, wireless power transfer (WPT), and smart materials, surfaces, and spaces. Selected Awards and Honors UWEE Outstanding Faculty Award, 2018 10-Year Impact Award, ACM Ubicomp 2017 Best Poster / Demo Award, Best Paper Nominee, IEEE RFID 2017 CoMotion Presidential Innovation Fellow, 2015 Best Poster / Demo Award, Best Paper Nominee, IEEE RFID 2015 Finalist, Robocup Best Paper Award (of over 1600 submissions), IROS 2014 U.S. Kavli Frontiers of Science Fellow (National Academy of Sciences), 2013 Best Paper Award, ACM Ubicomp 2012 Best Paper Award, IEEE RFID 2012 CETI Early Career Award, FIATECH, May, 2011 Best Paper / Best of CHI Nominee, International Conf. on Human Factors in Computing Systems (CHI), 2010 Best Paper Award, ACM Ubicomp 2010 Best Paper Award, International Conference on Pervasive Computing, 2008 Best Paper Nominee, IEEE International Symposium on Wearable Computing, 2008 Best Paper and Best Presentation Awards, ACM International Conference on Ubiquitous Computing, 2007 Motorola Fellow, MIT Media Lab, 1999-2002 Selected Recent Publications (of 85+) Millimeter Wave Imaging A. Pedross-Engel, D. Arnitz, J. Gollub, O. Yurduseven, K. Trofatter, M. Imani, T. Sleasman, M. Boyarsky, X. Fu, D. Marks, D. Smith, and M. Reynolds, "Orthogonal Coded Active Illumination for Millimeter Wave, Massive-MIMO Computational Imaging With Metasurface Antennas", IEEE Transactions on Computational Imaging, vol. 4, no. 2, pp. 184-193, 2018. X. Fu, A. Pedross-Engel, D. Arnitz, C. Watts, A. Sharma, and M. Reynolds, "Simultaneous Imaging, Sensor Tag Localization, and Backscatter Uplink via Synthetic Aperture Radar", IEEE Transactions on Microwave Theory and Techniques, vol. 66, no. 3, pp. 1570-1578, 2018. A. Sharma, A. Pedross-Engel, D. Arnitz, C. Watts, D. Smith, and M. Reynolds, "A K-band Backscatter Fiducial for Continuous Calibration in Coherent Millimeter-Wave Imaging", IEEE Transactions on Microwave Theory and Techniques, vol. 66, no. 1, pp. 431-438, 2018. S. Devadithya, A. Pedross-Engel, C. Watts, and M. Reynolds, "GPU Accelerated Enhanced Resolution 3D SAR Imaging with Dynamic Metasurface Antennas", IEEE Transactions on Microwave Theory and Techniques, vol. 65, no. 12, pp. 5096-5103, 2017. A. Pedross-Engel, C. Watts, D. Smith, and M. Reynolds, "Enhanced Resolution Stripmap Mode using Dynamic Metamaterial Antennas", IEEE Transactions on Geoscience and Remote Sensing, vol. 55, no. 7, pp. 3764-3772, 2017. A. Pedross-Engel, D. Arnitz, and M. Reynolds, "Self-Jamming Mitigation via Coding for Millimeter Wave Imaging with Direct Conversion Receivers", IEEE Microwave and Wireless Components Letters, vol. 27, no. 4, pp. 410-412, 2017. J. Gollub, O. Yurduseven, K. Trofatter, D. Arnitz, M. Imani, T. Sleasman, M. Boyarsky, A. Rose, A. Pedross-Engel, H. Odabasi, T. Zvolensky, G. Lipworth, D. Brady, D. Marks, M. Reynolds, and D. Smith, "Large Metasurface Aperture for Millimeter Wave Computational Imaging at the Human-Scale", Scientific Reports, vol. 7, 42650, 2017. C. Watts, A. Pedross-Engel, D. Smith, and M. Reynolds, "X-band SAR imaging with a Liquid-Crystal Based Dynamic Metasurface Antenna", Journal of the Optical Society of America- B, vol. 34, pp. 300-306, 2017. T. Sleasman, M.F. Imani, W. Xu, J. Hunt, T. Driscoll, M. Reynolds, D.R. Smith, "Waveguide-fed Tunable Metamaterial Element for Dynamic Apertures", IEEE Antennas and Wireless Propagation Letters, vol. 15, pp. 606-609, 2016. J. Hunt, J. Gollub, T. Driscoll, G. Lipworth, A. Mrozack, M. Reynolds, D. Brady, and D. Smith, "Metamaterial microwave holographic imaging system," Journal of the Optical Society of America-A 31, 2109-2119 (2014). J. Hunt, T. Driscoll, A. Mrozack, G. Lipworth, M. Reynolds, D. Brady, D. Smith, "Metamaterial Apertures for Computational Imaging", Science, 18 January 2013: 339 (6117), pp. 310-313. Wireless Power Transfer (WPT) G. Lipworth, D. Arnitz, J. Hagerty, D. Nash, Y. Urzhumov, R. Hannigan, C. Tegreene, and M. Reynolds, "A Large Planar Holographic Reflectarray for Fresnel-Zone Microwave Wireless Power Transfer at 5.8 GHz", in Proc. IEEE International Microwave Symposium (IMS) 2018. D. Smith, V. Gowda, O. Yurduseven, S. Larouche, G. Lipworth, Y. Urzhumov, and M. Reynolds, "An analysis of beamed wireless power transfer in the Fresnel zone using a dynamic, metasurface aperture", Journal of Applied Physics, vol. 121, 014901, 2017. D. Arnitz and M. Reynolds, "MIMO Wireless Power Transfer (WPT) for Mobile Devices", IEEE Pervasive Computing, vol. 15, no. 4, pp. 36-44, 2016. V. Gowda, O. Yurduseven, G. Lipworth, T. Zupan, M. Reynolds, and D. Smith, "Wireless Power Transfer in the Radiative Near Field", IEEE Antennas and Wireless Propagation Letters, vol. 15, pp. 1865-1868, 2016. G. Lipworth, J. Ensworth, K. Seetharam, J.S. Lee, P. Schmalenberg, T. Nomura, M. Reynolds, D. R. Smith, Y. Urzhumov, "Quasi-Static Magnetic Field Shielding Using Longitudinal Mu-Near-Zero Metamaterials", Scientific Reports 5, 12764 (2015), doi:10.1038/srep12764. G. Lipworth, J. Ensworth, K. Seetharam, D. Huang, J. S. Lee, P. Schmalenberg, M. Reynolds, D. R. Smith, and Y. Urzhumov, "Magnetic Metamaterial Superlens for Increased Range Wireless Power Transfer", Scientific Reports, 10 Jan 2014, doi:10.1038/srep03642 S. Gollakota, M. Reynolds, J. Smith, D. Wetherall, "The emergence of RF-powered computing", IEEE Computer, vol.47, no.1, pp. 32-39, Jan. 2014 D. Arnitz and M. Reynolds, "Multi-transmitter Wireless Power Transfer Optimization for Backscatter RFID Transponders", IEEE Antennas and Wireless Propagation Letters, vol. 12, pp. 849-852, 2013. Backscatter Communication and Ultra-Low Power Sensing M. Reynolds, "A 2.4 GHz, Hybrid 10 Mbps BPSK Backscatter and 1 Mbps FSK Bluetooth TX with Hardware Reuse", IEEE Microwave and Wireless Components Letters, vol. 27, no. 12, pp. 1155-1157, 2017. J. Ensworth and M. Reynolds, "BLE-Backscatter: Ultra-low-power IoT nodes compatible with Bluetooth 4.0 Low Energy (BLE) smartphones and tablets", IEEE Transactions on Microwave Theory and Techniques, vol. 65, no. 9, pp. 3360-3368, 2017. I. Cnaan-On, S. Thomas, J. Krolik, and M. Reynolds, "Multichannel Backscatter Communication and Ranging for Distributed Sensing with an FMCW Radar", IEEE Transactions on Microwave Theory and Techniques, vol. 63, no. 7, pp. 2375-2383 (2015). S. Thomas, E. Wheeler, J. Teizer, M. Reynolds, "Quadrature Amplitude Modulated Backscatter in Passive and Semipassive UHF RFID Systems", IEEE Transactions on Microwave Theory and Techniques, vol. 60 no. 4, April, 2012, pp. 1175-1182. Biomedical Applications E. Kampianakis, A. Sharma, J. Arenas, and M. Reynolds, "A Dual-Band Wireless Power Transfer and Backscatter Communication Approach for Real-Time Neural/EMG Data Acquisition", IEEE Journal of RFID, vol. 1, no. 1, pp. 100-107, 2017. A. Sharma, E. Kampianakis, M. Reynolds, "A dual-band HF and UHF antenna system for implanted neural recording and stimulation devices", IEEE Antennas and Wireless Propagation Letters, vol. 16, pp. 493-496, 2016. J. Besnoff and M. Reynolds, "Single-Wire Radio Frequency Transmission Lines In Biological Tissue", Applied Physics Letters, vol. 106, 183705 (2015). (Invited paper) S. Thomas, R. Harrison, A. Leonardo, and M. Reynolds, "A Battery-Free Multi-Channel Digital Neural/EMG Telemetry System for Flying Insects", IEEE Transactions on Biomedical Circuits and Systems, vol. 6, no. 5, Oct. 2012, pp. 424-436. Patents (47 US issued, 65+ US pending, multiple international) Wireless Power Transfer US9,800,059. Subscription based MISO and MIMO wireless energy transfer US9,754,139. Real-time wireless power transfer control for passive backscattering devices US9,618,552. Method and apparatus for measuring radio-frequency energy US9,599,605. System for ambient energy harvesting US9,397,522. Method and system to control ambient RF energy for wireless devices Millimeter Wave Imaging US9,411,042. Multi-sensor compressive imaging US9,268,016. Metamaterial devices and methods of using the same Backscatter Communication, RFID, and Ultra-Low Power Sensing US9,818,273. Secure passive RFID tag with seal US9,754,202. Low power radio frequency communication US9,747,538. Low power radio frequency communication US9,355,545. Secure optionally passive RFID tag or sensor with external power source and data logging US9,245,159. Low power radio frequency communication US9,245,158. Low power radio frequency communication US9,240,823. Receiver, apparatus, and methods for wirelessly receiving data from a power infrastructure. US9,158,949. Low power radio frequency communication US9,064,396. Receiver, apparatus, and methods for wirelessly receiving data from a power infrastructure US8,938,367. Motion detecting device, method of providing the same, and method of detecting movement US8,886,489. Motion detecting method and device US8,576,075. Methods and apparatus for RFID tag placement US8,494,762. Sub room level indoor location system using wideband power line positioning US8,392,107. Sub-room-level indoor location system using power line positioning US8,330,580. Methods and apparatus for operating a radio device US7,999,658. Methods and apparatus for operating a radio device US7,961,078. Methods and apparatus for operating a radio device US7,898,391. Multi-reader coordination in RFID system US7,773,945. RFID Reader Front End US7,724,141. Dynamically reconfigurable antennas for RFID label encoders/readers US7,763,780. Methods and Apparatus for RFID Tag Placement US7,706,764. Systems and Methods for Active Noise Cancellation in an RFID Tag Reader US7,453,363. RFID reader system incorporating antenna orientation sensing US7,075,412. Methods and apparatus for operating a radio device Sustainability Sensing: Disaggregation of Electricity, Water, and Gas Usage US9,766,277. Self-calibrating contactless power consumption sensing US9,594,098. Systems and methods for measuring electrical power usage in a structure and systems and methods of calibrating the same US9,397,498. Systems and methods to emulate high frequency electrical signatures US9,250,275. Detecting actuation of electrical devices using electrical noise over a power line US9,222,816. Apparatus configured to detect gas usage, method of providing same, and method of detecting gas usage. US9,218,736. Sensor nodes, apparatuses, and methods for wirelessly transmitting data to a power infrastructure US8,972,211. System for monitoring electrical power usage of a structure and method of same US8,930,152. Whole structure contactless power consumption sensing US8,924,604. Systems and methods for data compression and feature extraction for the purpose of disaggregating loads on an electrical network US8,805,628. Systems and methods for measuring electrical power usage in a structure and systems and methods of calibrating the same US8,712,732. Electrical event detection device and method of detecting and classifying electrical power usage US9,618,553. Systems and methods for sensing environmental changes using light sources as sensors US8,587,148. Electric power supply and related methods US8,334,784. Detecting actuation of electrical devices using electrical noise over a power line US8,094,034. Detecting actuation of electrical devices using electrical noise over a power line Biomedical Applications US9,579,036. Sensor for monitoring a condition of a patient Home Student Info Undergraduate Master's & Ph.D. Professional Master's Program Course Info Class Home Pages Operations Administration Calendars & Scheduling Computing Facilities Payroll & Human Resources Research Management Teaching & Academics Research Labs and Research Areas Faculty Research Projects Research Colloquium Quick Access Alumni "Keep in Touch" Form Links for Faculty Research Colloquium UW Workday UWECE External Site | College of Engineering | UW Home UW Electrical & Computer Engineering | Privacy | Terms diff --git a/src/data/compiled_bios/1700.txt b/src/data/compiled_bios/1700.txt new file mode 100644 index 0000000000..6529c1cd76 --- /dev/null +++ b/src/data/compiled_bios/1700.txt @@ -0,0 +1 @@ + Xiao-Wen CHANG Publications Software Students Seminars Laboratory Contact Teaching COMP 350 Fall Numerical Computing COMP 540 Fall Matrix Computations COMP 642 Winter Numerical Estimation Welcome! My research interests are in the field of scientific computing, with particular emphasis on numerical linear algebra and optimization and their applications. Currently I am mainly interested in designing, analyzing and implementing effective computer algorithms for parameter estimation problems such as real least squares, integer least squares, robust estimation, and partially linear model estimation etc, and as well as their applications in machine learning, communications, signal processing, control, localization in wireless sensor networks and GNSS based positioning. I am also interested in lattice reduction, which has applications in integer programming, cryptanalysis and computer algebra. Search function useSite(){ var radios = document.getElementsByName('hq'); var q = document.form.q.value; for(var i = 0 ; i < radios.length ; i++){ if(radios[i].value != '' && radios[i].checked){ document.form.q.value = radios[i].value + ' ' + q; } } return(true); } Search from website: WWW McGill CS McGill Copyright 2016, Xiao-Wen Chang, McGill University diff --git a/src/data/compiled_bios/1701.txt b/src/data/compiled_bios/1701.txt new file mode 100644 index 0000000000..0836010cbe --- /dev/null +++ b/src/data/compiled_bios/1701.txt @@ -0,0 +1 @@ + Toggle navigation Home Publications Students Courses Meetings About Me Jackie Chi Kit Cheung Assistant Professor Canada CIFAR AI Chair, Mila Reasoning and Learning Lab School of Computer Science , McGill University McGill Office : McConnell 108N Mila Office : D2097 Phone : 1 (514) 398-5491 E-mail : jcheung with the suffix (@cs.mcgill.ca) Mailing Address : 3480 University, McConnell Engineering, Room 318 Montreal, Quebec H3A 0E9 Affiliated with : Mila Research Institute Centre for Research on Brain, Language and Music Centre for Intelligent Machines News and Recent Activities Best paper award at ACL 2018! Student authors: Andre Cianflone, Yulan Feng, and Jad Kabbara. Ph.D. student, Ali Emami, won an outstanding paper award for his paper on common-sense reasoning at the NAACL 2018 Student Research Workshop Program Co-Chair for Canadian AI 2018 , held in Toronto. We have released the Wikilinks Rare Entity Prediction Dataset ! See our EMNLP 2017 paper for details. I co-organized the EMNLP 2017 Workshop on New Frontiers in Summarization . Are you a prospective student or looking for a postdoc position? See this page for more details. Research Interests Natural language processing Computational semantics Natural language generation Automatic summarization My group conducts research in natural language processing (NLP), an area of artificial intelligence in which we build computational models of human languages such as English or French. The goal of our research is to develop computational methods for understanding text and speech, in order to generate language that is fluent and appropriate to the context. In our lab, we investigate statistical machine learning techniques for analyzing and making predictions about language. Several current projects include summarizing fiction, extracting events from text, and adapting language across genres. window.jQuery || document.write(' PHP iFrame Close PhD Thesis var bibbase = { params: {"bib":"http://rafaelcaue.github.io/phd.bib","jsonp":"1","host":"bibbase.org"}, data: [{"bibtype":"phdthesis","type":"phdthesis","title":"A Decentralised Online Multi-Agent Planning Framework for Multi-Agent Systems","year":"2018","url":"http://tede2.pucrs.br/tede2/handle/tede/8048","school":"Programa de Ps-Graduao em Cincia da Computao, Escola Politcnica, Pontifcia Universidade Catlica do Rio Grande do Sul","bibtex":"@PHDTHESIS{CardosoPhD,\n \ttitle = {A Decentralised Online Multi-Agent Planning Framework for Multi-Agent Systems},\n \tyear = {2018},\n \turl = \"http://tede2.pucrs.br/tede2/handle/tede/8048\",\n \tschool = {Programa de Ps-Graduao em Cincia da Computao, Escola Politcnica, Pontifcia Universidade Catlica do Rio Grande do Sul}\n}\n","key":"CardosoPhD","id":"CardosoPhD","bibbaseid":"anonymous-adecentralisedonlinemultiagentplanningframeworkformultiagentsystems-2018","urls":{"Paper":"http://tede2.pucrs.br/tede2/handle/tede/8048"},"downloads":0,"html":""}], metadata: {}, ownerID: "" }; MathJax.Hub.Config({tex2jax: {inlineMath: [['$','$'], ['\\(','\\)']]}, skipTags: ["body"], processClass: "bibbase_paper"}); @media print { .dontprint { display: none !important; } .bibbase_group { background-color: #E0E0E0; font-style: italic; font-size: larger; text-shadow: 0px 0px 3px #FFFFFF; border-radius: 4px 4px 4px 4px; -moz-border-radius: 4px 4px 4px 4px; -webkit-border-radius: 4px; padding: 5px 40px 5px; margin-top: 10px; margin-bottom: 5px; cursor: pointer; } .bibbase_paper { margin-bottom: 5px; } } Group by Year Author Type Keyword Downloads Fold/Unfold All Download BibTeX RSS Feed generated by Excellent! Next, you can embed this page using one of several options . To the site owner: Action required! Mendeley is changing its API. In order to keep using Mendeley with BibBase past April 14th, you need to: renew the authorization for BibBase on Mendeley, and update the BibBase URL in your page the same way you did when you initially set up this page. Fix it now 2018 (1) A Decentralised Online Multi-Agent Planning Framework for Multi-Agent Systems. Ph.D. Thesis, Programa de Ps-Graduao em Cincia da Computao, Escola Politcnica, Pontifcia Universidade Catlica do Rio Grande do Sul, 2018. Paper bibtex @PHDTHESIS{CardosoPhD, title = {A Decentralised Online Multi-Agent Planning Framework for Multi-Agent Systems}, year = {2018}, url = "http://tede2.pucrs.br/tede2/handle/tede/8048", school = {Programa de Ps-Graduao em Cincia da Computao, Escola Politcnica, Pontifcia Universidade Catlica do Rio Grande do Sul} } Embedding in another Page Copy&paste any of the following snippets into an existing page to embed this page. For more details see the documention . JavaScript (Easiest) PHP iFrame Close MSc Disseration var bibbase = { params: {"bib":"https://rafaelcaue.github.io/msc.bib","jsonp":"1","host":"bibbase.org"}, data: [{"bibtype":"mastersthesis","type":"mastersthesis","author":[{"firstnames":["Rafael","C."],"propositions":[],"lastnames":["Cardoso"],"suffixes":[]}],"title":"Integrating Automated Planning with a Multi-Agent System Development Framework","school":"Faculdade de Informtica PUCRS","year":"2014","numpages":"110","address":"Porto Alegre, RS, Brasil","url":"http://repositorio.pucrs.br/dspace/handle/10923/7044","bibtex":"@mastersthesis{CardosoMSc,\n author = {Rafael C. Cardoso},\n title = {Integrating Automated Planning with a Multi-Agent System Development Framework},\n school = {Faculdade de Informtica -- PUCRS},\n year = {2014},\n numpages= {110},\n address = {Porto Alegre, RS, Brasil},\n url={http://repositorio.pucrs.br/dspace/handle/10923/7044}\n}\n","author_short":["Cardoso, R. 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C."],"key":"CardosoBsC","id":"CardosoBsC","bibbaseid":"cardoso-planejamentodepercepeseaesdeagentesjasonnoroblegomindstormsnxt10-2011","role":"author","urls":{},"downloads":0,"html":""}], metadata: {"owner":"cardoso, r","authorlinks":{"cardoso, r":"https://rafaelcaue.github.io/"}}, ownerID: "577a8b0817cd332244000218" }; MathJax.Hub.Config({tex2jax: {inlineMath: [['$','$'], ['\\(','\\)']]}, skipTags: ["body"], processClass: "bibbase_paper"}); @media print { .dontprint { display: none !important; } .bibbase_group { background-color: #E0E0E0; font-style: italic; font-size: larger; text-shadow: 0px 0px 3px #FFFFFF; border-radius: 4px 4px 4px 4px; -moz-border-radius: 4px 4px 4px 4px; -webkit-border-radius: 4px; padding: 5px 40px 5px; margin-top: 10px; margin-bottom: 5px; cursor: pointer; } .bibbase_paper { margin-bottom: 5px; } } Group by Year Author Type Keyword Downloads Fold/Unfold All Download BibTeX RSS Feed generated by Excellent! Next, you can embed this page using one of several options . To the site owner: Action required! Mendeley is changing its API. In order to keep using Mendeley with BibBase past April 14th, you need to: renew the authorization for BibBase on Mendeley, and update the BibBase URL in your page the same way you did when you initially set up this page. Fix it now 2011 (1) Planejamento de Percepes e Aes de Agentes Jason no Rob LEGO Mindstorms NXT 1.0. Cardoso, R. C. 2011. bibtex @thesis{CardosoBsC, author = {Rafael C. Cardoso}, title = {Planejamento de Percepes e Aes de Agentes Jason no Rob LEGO Mindstorms NXT 1.0}, school = {Universidade Franciscana}, year = {2011}, address = {Santa Maria, RS, Brasil}, type = {Bachelor's Dissertation} } Embedding in another Page Copy&paste any of the following snippets into an existing page to embed this page. For more details see the documention . 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See included LICENSE.txt * or http://opensource.org/licenses/MIT * * latest version available at https://github.com/tyleruebele/details-shim */ /** * Enable proper operation of
tags in unsupportive browsers * * @param Details details element to shim * @returns {boolean} false on error */ function details_shim(Details) { // For backward compatibility, if no DOM Element is sent, call init() if (!Details || !('nodeType' in Details) || !('tagName' in Details)) { return details_shim.init(); } var Summary; // If we were passed a details tag, find its summary tag if ('details' == Details.tagName.toLowerCase()) { // Assume first found summary tag is the corresponding summary tag Summary = Details.getElementsByTagName('summary')[0]; // If we were passed a summary tag, find its details tag } else if (!!Details.parentNode && 'summary' == Details.tagName.toLowerCase() ) { Summary = Details; Details = Summary.parentNode; } else { // An invalid parameter was passed for Details return false; } // If the details tag is natively supported or already shimmed if ('boolean' == typeof Details.open) { // If native, remove custom classes if (!Details.getAttribute('data-open')) { Details.className = Details.className .replace(/\bdetails_shim_open\b|\bdetails_shim_closed\b/g, ' '); } return false; } // Set initial class according to `open` attribute var state = Details.outerHTML // OR older firefox doesn't have .outerHTML || new XMLSerializer().serializeToString(Details); state = state.substring(0, state.indexOf('>')); // Read: There is an open attribute, and it's not explicitly empty state = (-1 != state.indexOf('open') && -1 == state.indexOf('open=""')) ? 'open' : 'closed' ; Details.setAttribute('data-open', state); Details.className += ' details_shim_' + state; // Add onclick handler to toggle visibility class Summary.addEventListener ? Summary.addEventListener('click', function() { details_shim.toggle(Details); }) : Summary.attachEvent && Summary.attachEvent('onclick', function() { details_shim.toggle(Details); }) ; Object.defineProperty(Details, 'open', { get: function() { return 'open' == this.getAttribute('data-open'); }, set: function(state) { details_shim.toggle(this, state); } }); // wrap text nodes in span to expose them to css for (var j = 0; j < Details.childNodes.length; j++) { if (Details.childNodes[j].nodeType == 3 && /[^\s]/.test(Details.childNodes[j].data) ) { var span = document.createElement('span'); var text = Details.childNodes[j]; Details.insertBefore(span, text); Details.removeChild(text); span.appendChild(text); } } } // details_shim() /** * Toggle the open state of specified
tag * @param Details The
tag to toggle * @param state Optional override state */ details_shim.toggle = function(Details, state) { // If state was not passed, seek current state if ('undefined' === typeof state) { // new state state = Details.getAttribute('data-open') == 'open' ? 'closed' : 'open' ; } else { // Sanitize the input, expect boolean, force string // Expecting boolean means even 'closed' will result in an open // This is the behavior of the natively supportive browsers state = !!state ? 'open' : 'closed'; } Details.setAttribute('data-open', state); // replace previous open/close class Details.className = Details.className .replace(/\bdetails_shim_open\b|\bdetails_shim_closed\b/g, ' ') + ' details_shim_' + state; }; /** * Run details_shim() on each details tag */ details_shim.init = function() { // Because
must include a , // collecting tags collects *valid*
tags var Summaries = document.getElementsByTagName('summary'); for (var i = 0; i < Summaries.length; i++) { details_shim(Summaries[i]); } }; // Run details_shim.init() when the page loads window.addEventListener ? window.addEventListener('load', details_shim.init, false) : window.attachEvent && window.attachEvent('onload', details_shim.init) ; Dr Emily Collins BA, MSc, PhD Research Associate Computer Science +44 (0)151 795 4271 Work email E.C.Collins@liverpool.ac.uk TWITTER Biography Research Publications Personal Statement Top Biography Personal Statement My research interests include Human-Robot Interaction (HRI), biomimetics and brain-based robotics, animal- and robot-assisted therapy, and AI ethics. My research focus spans social, as well as hazardous environment industrial, robotics. Specifically, I am currently employed on the RAIN (Robots and AI in Nuclear Research) Project, developing theory and experimental work that highlights the importance of HRI to acceptability and effectiveness of industrial robotics and autonomy. I also supervise the Computer Science Department's Home Robot Lab, where I explore robotics for social and healthcare applications. Biography Research Publications +44 (0)151 795 4271 Work email E.C.Collins@liverpool.ac.uk Untitled Document Department of Computer Science About Undergraduate Postgraduate Research Continuing Professional Development People Alumni News Industry Partners Contacts and Finding Us jQuery(function(t){t.tosrus.defaults.media.image={filterAnchors:function(t){return t.attr("href").indexOf("lorempixel.com")>-1}},t("#global-list a").tosrus({buttons:!0})}); .hidden { display: none; } / Welcome: / / Espaol A Connected University: Liverpool / Suzhou, China / London / Singapore / Online Read more about our connected university Liverpool Our Liverpool city centre campus forms the central point of our offering in world-class teaching, leading research and innovative industrial opportunities. Explore: Study / Research / About 1,300+ leading researchers 22,000+ students 600m campus investment programme Read more about our connected university Suzhou, China Our joint University venture, Xi'an Jiaotong-Liverpool University (XJTLU) . Our unique University partnership in Suzhou is home to state-of-the-art teaching, cutting edge research and our ground-breaking Year in China programme . Explore: Study / Research / About 7,400+ students 14 departments 4 teaching centres Read more about our connected university London Our campus in the heart of Londons financial district offers innovative, professionally-focused postgraduate teaching and business collaboration opportunities. Explore: Study / About We deliver an exceptional postgraduate learning experience in the heart of the City of London. Read more about our connected university Singapore In partnership with Singapore Institute of Technology . Our collaboration in Singapore integrates study with research and is specifically contextualised for South East Asia. Explore: Welcome / Undergraduate programmes Read more about our connected university Online degrees In partnership with Laureate Online Education . As pioneers of online education, we are UK's leading provider of fully online postgraduate education. Explore: Study / About 8,000+ online students 160 active countries 30+ degree programmes University of Liverpool, Liverpool L69 3BX, United Kingdom +44 (0)151 794 2000 Switchboard: +44 (0)151 794 2000 Student enquiries: +44 (0) 151 794 5927 University of Liverpool a member of the Russell Group / Terms and Conditions / Map / Contact us facebook Twitter youtube instagram linkedin var serviceUrl = "//api.reciteme.com/asset/js?key="; var serviceKey = "fb7f15d5eb0f967326011bc7b867c40546b47ae5"; var options = {}; // Options can be added as needed var autoLoad = false; var enableFragment = "#reciteEnable"; var loaded=[],frag=!1;window.location.hash===enableFragment&&(frag=!0);function loadScript(c,b){var a=document.createElement("script");a.type="text/javascript";a.readyState?a.onreadystatechange=function(){if("loaded"==a.readyState||"complete"==a.readyState)a.onreadystatechange=null,void 0!=b&&b()}:void 0!=b&&(a.onload=function(){b()});a.src=c;document.getElementsByTagName("head")[0].appendChild(a)}function _rc(c){c+="=";for(var b=document.cookie.split(";"),a=0;a sticky_navigation_offset_top) { $('#universal-header, #main-content').addClass('stuck'); } else { $('#universal-header, #main-content').removeClass('stuck'); } }; // run our function on load sticky_navigation(); // and run it again every time you scroll $(window).scroll(function() { sticky_navigation(); }); }); window.lightningjs||function(c){function g(b,d){d&&(d+=(/\?/.test(d)?"\x26":"?")+"lv\x3d1");c[b]||function(){var k=window,h=document,l=b,g=h.location.protocol,n="load",m=0;(function(){function b(){a.P(n);a.w=1;c[l]("_load")}c[l]=function(){function p(){p.id=e;return c[l].apply(p,arguments)}var e=++m;var b=this&&this!=k?this.id||0:0;(a.s=a.s||[]).push([e,b,arguments]);p.then=function(b,c,h){var d=a.fh[e]=a.fh[e]||[],l=a.eh[e]=a.eh[e]||[],f=a.ph[e]=a.ph[e]||[];b&&d.push(b);c&&l.push(c);h&&f.push(h); return p};return p};var a=c[l]._={};a.fh={};a.eh={};a.ph={};a.l=d?d.replace(/^\/\//,("https:"==g?g:"http:")+"//"):d;a.p={0:+new Date};a.P=function(b){a.p[b]=new Date-a.p[0]};a.w&&b();k.addEventListener?k.addEventListener(n,b,!1):k.attachEvent("on"+n,b);var t=function(){function b(){return["\x3chead\x3e\x3c/head\x3e\x3c",e,' onload\x3d"var d\x3d',q,";d.getElementsByTagName('head')[0].",d,"(d.",g,"('script')).",k,"\x3d'",a.l,"'\"\x3e\x3c/",e,"\x3e"].join("")}var e="body",c=h[e];if(!c)return setTimeout(t, 100);a.P(1);var d="appendChild",g="createElement",k="src",m=h[g]("div"),n=m[d](h[g]("div")),f=h[g]("iframe"),q="document";m.style.display="none";c.insertBefore(m,c.firstChild).id=r+"-"+l;f.frameBorder="0";f.id=r+"-frame-"+l;/MSIE[ ]+6/.test(navigator.userAgent)&&(f[k]="javascript:false");f.allowTransparency="true";n[d](f);try{f.contentWindow[q].open()}catch(w){a.domain=h.domain;var u="javascript:var d\x3d"+q+".open();d.domain\x3d'"+h.domain+"';";f[k]=u+"void(0);"}try{var v=f.contentWindow[q];v.write(b()); v.close()}catch(w){f[k]=u+'d.write("'+b().replace(/"/g,String.fromCharCode(92)+'"')+'");d.close();'}a.P(2)};a.l&&setTimeout(t,0)})()}();c[b].lv="1";return c[b]}var r="lightningjs",m=window[r]=g(r);m.require=g;m.modules=c}({});window.usabilla_live=lightningjs.require("usabilla_live","//w.usabilla.com/39ba22add62c.js"); diff --git a/src/data/compiled_bios/2738.txt b/src/data/compiled_bios/2738.txt new file mode 100644 index 0000000000..267ebab539 --- /dev/null +++ b/src/data/compiled_bios/2738.txt @@ -0,0 +1 @@ + Home Publications CV Louise Dennis Potential PhD: I am currently offering a funded PhD place in Assurance of Machine Learning Enabled Systems . Please email me if you are interested or apply. Louise Dennis is a lecturer in the Autonomy and Verification Laboratory at the University of Liverpool. She is attached to the Centre for Autonomous Systems Technology (CAST) at the University of Liverpool. Her background is in artificial intelligence and more specifically in agent and autonomous systems and automated reasoning. She has worked on the development of several automated reasoning and theorem proving tools, most notably the Agent JPF model checker for BDI agent languages; the lambda-clam proof planning system ; and the PROSPER Toolkit for integrating an interactive theorem prover (HOL) with automated reasoning tools (such as SAT solvers) and Case/CAD tools. More recently she has investigated rational agent programming languages and architectures for autonomous systems, with a particular emphasis on creating verifiable systems. Two satellites cooperate to explore an asteroid field, using a verifiable agent architecture for decision-making. An output from the Engineering Autonomous Space Software project. Address Louise Dennis Department of Computer Science Room G22 Ashton Building University of Liverpool L.A.Dennis@liverpool.ac.uk Research Groups, Centres and Labs Autonomy and Verification Laboratory Centre for Autonomous Systems Technology Virtual Engineering Centre Robotics and Autonomous Systems Group (Liverpool) Verification Group (Liverpool) Mathematical Reasoning Group (Edinburgh) Research Projects Robotics and AI for Nuclear (2018-2021) Future AI and Robotics for Space (2018-2021) Verifiable Autonomy (2014-2018) Reconfigurable Autonomy (2012-2014) Engineering Autonomous Space Software (2008-2012) Model Checking Agent Programming Languages (2006-2008) Links Lego Rovers (Public Engagement Activity) Official University Page Personal Page Contact: Louise Dennis . Design by FreeCSSTemplates.org . diff --git a/src/data/compiled_bios/2739.txt b/src/data/compiled_bios/2739.txt new file mode 100644 index 0000000000..4a1df7b6a0 --- /dev/null +++ b/src/data/compiled_bios/2739.txt @@ -0,0 +1 @@ + Search the University Open submenu (Study with Liverpool) Study with Liverpool Open submenu (Our Research) Our Research Open submenu (About Us) About Us Sign in Staff Students A-Z Back to main menu Study with Liverpool Study with Liverpool Find a course Select type Any level Undergraduate Postgraduate Taught Courses Postgraduate Research Degrees Study in Liverpool All study opportunities Undergraduate Postgraduate taught Postgraduate research Foundation courses Access courses International students Continuing education Study globally Study in London Study in China Study online 96%+ of our graduates are in employment or further study six months after graduation. Back to main menu Our Research Our research Research Our research A-Z of research groups REF 2014 Postgraduate Research PhD degrees Liverpool Doctoral College Research and business collaboration Collaborate with us How you can work with us Research with real world impact Back to main menu About Us About us Our story About the University Key people Accounts and main documents Strategy 2026 Key information News Events Departments Library Alumni Sports Conferences Jobs Accommodation Our locations Maps Contact us Advancing knowledge to transform lives facebook twitter youtube instagram linkedin Skip navigation Study with Liverpool 96%+ of our graduates are in employment or further study six months after graduation. Study with Liverpool Find a course Select type Any level Undergraduate Postgraduate Taught Courses Postgraduate Research Degrees Study in Liverpool All study opportunities Undergraduate Postgraduate taught Postgraduate research Foundation courses Access courses International students Continuing education Continuing professional development Study globally Study in London Study in China Study online Our research Research with real world impact Our research Research Our research A-Z of research groups REF 2014 Postgraduate Research PhD degrees Liverpool Doctoral College Research and business collaboration Collaborate with us How you can work with us About us Advancing knowledge to transform lives About us Our story About the University Key people Accounts and main documents Strategy 2026 Key information News Events Departments Library Alumni Sports Conferences Jobs Accommodation Our locations Maps Contact us Search the University Sign in: Staff / Students A-Z Sign in Sign in: Staff / Students Our story / Teaching & learning / Research / The city of Liverpool / International university / Our organisation Department of Computer Science Department of Computer Science menu About Undergraduate Postgraduate Research Continuing Professional Development People Alumni News Industry Partners Contacts and Finding Us Department of Computer Science About Undergraduate Postgraduate Research Continuing Professional Development People Alumni News Industry Partners Contacts and Finding Us Part of the School of Electrical Engineering, Electronics & Computer Science Department Intranets: Current Students' Intranet University home > Department of Computer Science > Staff > Marie Farrell details, summary {display: block;} details.details_shim_closed > * {display: none;} details.details_shim_closed > summary {display: block;} details.details_shim_open > summary {display: block;} details.details_shim_closed > summary:before {display: inline-block; content: "\25b6"; padding: 0 0.1em; margin-right: 0.4em; font-size: 0.9em;} details.details_shim_open > summary:before {display: inline-block; content: "\25bc"; padding: 0; margin-right: 0.35em;} /** * details-shim.js * A pure JavaScript (no dependencies) solution to make HTML5 * Details/Summary tags work in unsupportive browsers * * Copyright (c) 2013 Tyler Uebele * Released under the MIT license. See included LICENSE.txt * or http://opensource.org/licenses/MIT * * latest version available at https://github.com/tyleruebele/details-shim */ /** * Enable proper operation of
tags in unsupportive browsers * * @param Details details element to shim * @returns {boolean} false on error */ function details_shim(Details) { // For backward compatibility, if no DOM Element is sent, call init() if (!Details || !('nodeType' in Details) || !('tagName' in Details)) { return details_shim.init(); } var Summary; // If we were passed a details tag, find its summary tag if ('details' == Details.tagName.toLowerCase()) { // Assume first found summary tag is the corresponding summary tag Summary = Details.getElementsByTagName('summary')[0]; // If we were passed a summary tag, find its details tag } else if (!!Details.parentNode && 'summary' == Details.tagName.toLowerCase() ) { Summary = Details; Details = Summary.parentNode; } else { // An invalid parameter was passed for Details return false; } // If the details tag is natively supported or already shimmed if ('boolean' == typeof Details.open) { // If native, remove custom classes if (!Details.getAttribute('data-open')) { Details.className = Details.className .replace(/\bdetails_shim_open\b|\bdetails_shim_closed\b/g, ' '); } return false; } // Set initial class according to `open` attribute var state = Details.outerHTML // OR older firefox doesn't have .outerHTML || new XMLSerializer().serializeToString(Details); state = state.substring(0, state.indexOf('>')); // Read: There is an open attribute, and it's not explicitly empty state = (-1 != state.indexOf('open') && -1 == state.indexOf('open=""')) ? 'open' : 'closed' ; Details.setAttribute('data-open', state); Details.className += ' details_shim_' + state; // Add onclick handler to toggle visibility class Summary.addEventListener ? Summary.addEventListener('click', function() { details_shim.toggle(Details); }) : Summary.attachEvent && Summary.attachEvent('onclick', function() { details_shim.toggle(Details); }) ; Object.defineProperty(Details, 'open', { get: function() { return 'open' == this.getAttribute('data-open'); }, set: function(state) { details_shim.toggle(this, state); } }); // wrap text nodes in span to expose them to css for (var j = 0; j < Details.childNodes.length; j++) { if (Details.childNodes[j].nodeType == 3 && /[^\s]/.test(Details.childNodes[j].data) ) { var span = document.createElement('span'); var text = Details.childNodes[j]; Details.insertBefore(span, text); Details.removeChild(text); span.appendChild(text); } } } // details_shim() /** * Toggle the open state of specified
tag * @param Details The
tag to toggle * @param state Optional override state */ details_shim.toggle = function(Details, state) { // If state was not passed, seek current state if ('undefined' === typeof state) { // new state state = Details.getAttribute('data-open') == 'open' ? 'closed' : 'open' ; } else { // Sanitize the input, expect boolean, force string // Expecting boolean means even 'closed' will result in an open // This is the behavior of the natively supportive browsers state = !!state ? 'open' : 'closed'; } Details.setAttribute('data-open', state); // replace previous open/close class Details.className = Details.className .replace(/\bdetails_shim_open\b|\bdetails_shim_closed\b/g, ' ') + ' details_shim_' + state; }; /** * Run details_shim() on each details tag */ details_shim.init = function() { // Because
must include a , // collecting tags collects *valid*
tags var Summaries = document.getElementsByTagName('summary'); for (var i = 0; i < Summaries.length; i++) { details_shim(Summaries[i]); } }; // Run details_shim.init() when the page loads window.addEventListener ? window.addEventListener('load', details_shim.init, false) : window.attachEvent && window.attachEvent('onload', details_shim.init) ; Dr Marie Farrell Computer Science +44 (0)151 795 4237 Ext. 54237 Work email Marie.Farrell@liverpool.ac.uk Publications +44 (0)151 795 4237 Ext. 54237 Work email Marie.Farrell@liverpool.ac.uk Untitled Document Department of Computer Science About Undergraduate Postgraduate Research Continuing Professional Development People Alumni News Industry Partners Contacts and Finding Us jQuery(function(t){t.tosrus.defaults.media.image={filterAnchors:function(t){return t.attr("href").indexOf("lorempixel.com")>-1}},t("#global-list a").tosrus({buttons:!0})}); .hidden { display: none; } / Welcome: / / Espaol A Connected University: Liverpool / Suzhou, China / London / Singapore / Online Read more about our connected university Liverpool Our Liverpool city centre campus forms the central point of our offering in world-class teaching, leading research and innovative industrial opportunities. Explore: Study / Research / About 1,300+ leading researchers 22,000+ students 600m campus investment programme Read more about our connected university Suzhou, China Our joint University venture, Xi'an Jiaotong-Liverpool University (XJTLU) . Our unique University partnership in Suzhou is home to state-of-the-art teaching, cutting edge research and our ground-breaking Year in China programme . Explore: Study / Research / About 7,400+ students 14 departments 4 teaching centres Read more about our connected university London Our campus in the heart of Londons financial district offers innovative, professionally-focused postgraduate teaching and business collaboration opportunities. Explore: Study / About We deliver an exceptional postgraduate learning experience in the heart of the City of London. Read more about our connected university Singapore In partnership with Singapore Institute of Technology . Our collaboration in Singapore integrates study with research and is specifically contextualised for South East Asia. Explore: Welcome / Undergraduate programmes Read more about our connected university Online degrees In partnership with Laureate Online Education . As pioneers of online education, we are UK's leading provider of fully online postgraduate education. Explore: Study / About 8,000+ online students 160 active countries 30+ degree programmes University of Liverpool, Liverpool L69 3BX, United Kingdom +44 (0)151 794 2000 Switchboard: +44 (0)151 794 2000 Student enquiries: +44 (0) 151 794 5927 University of Liverpool a member of the Russell Group / Terms and Conditions / Map / Contact us facebook Twitter youtube instagram linkedin var serviceUrl = "//api.reciteme.com/asset/js?key="; var serviceKey = "fb7f15d5eb0f967326011bc7b867c40546b47ae5"; var options = {}; // Options can be added as needed var autoLoad = false; var enableFragment = "#reciteEnable"; var loaded=[],frag=!1;window.location.hash===enableFragment&&(frag=!0);function loadScript(c,b){var a=document.createElement("script");a.type="text/javascript";a.readyState?a.onreadystatechange=function(){if("loaded"==a.readyState||"complete"==a.readyState)a.onreadystatechange=null,void 0!=b&&b()}:void 0!=b&&(a.onload=function(){b()});a.src=c;document.getElementsByTagName("head")[0].appendChild(a)}function _rc(c){c+="=";for(var b=document.cookie.split(";"),a=0;a sticky_navigation_offset_top) { $('#universal-header, #main-content').addClass('stuck'); } else { $('#universal-header, #main-content').removeClass('stuck'); } }; // run our function on load sticky_navigation(); // and run it again every time you scroll $(window).scroll(function() { sticky_navigation(); }); }); window.lightningjs||function(c){function g(b,d){d&&(d+=(/\?/.test(d)?"\x26":"?")+"lv\x3d1");c[b]||function(){var k=window,h=document,l=b,g=h.location.protocol,n="load",m=0;(function(){function b(){a.P(n);a.w=1;c[l]("_load")}c[l]=function(){function p(){p.id=e;return c[l].apply(p,arguments)}var e=++m;var b=this&&this!=k?this.id||0:0;(a.s=a.s||[]).push([e,b,arguments]);p.then=function(b,c,h){var d=a.fh[e]=a.fh[e]||[],l=a.eh[e]=a.eh[e]||[],f=a.ph[e]=a.ph[e]||[];b&&d.push(b);c&&l.push(c);h&&f.push(h); return p};return p};var a=c[l]._={};a.fh={};a.eh={};a.ph={};a.l=d?d.replace(/^\/\//,("https:"==g?g:"http:")+"//"):d;a.p={0:+new Date};a.P=function(b){a.p[b]=new Date-a.p[0]};a.w&&b();k.addEventListener?k.addEventListener(n,b,!1):k.attachEvent("on"+n,b);var t=function(){function b(){return["\x3chead\x3e\x3c/head\x3e\x3c",e,' onload\x3d"var d\x3d',q,";d.getElementsByTagName('head')[0].",d,"(d.",g,"('script')).",k,"\x3d'",a.l,"'\"\x3e\x3c/",e,"\x3e"].join("")}var e="body",c=h[e];if(!c)return setTimeout(t, 100);a.P(1);var d="appendChild",g="createElement",k="src",m=h[g]("div"),n=m[d](h[g]("div")),f=h[g]("iframe"),q="document";m.style.display="none";c.insertBefore(m,c.firstChild).id=r+"-"+l;f.frameBorder="0";f.id=r+"-frame-"+l;/MSIE[ ]+6/.test(navigator.userAgent)&&(f[k]="javascript:false");f.allowTransparency="true";n[d](f);try{f.contentWindow[q].open()}catch(w){a.domain=h.domain;var u="javascript:var d\x3d"+q+".open();d.domain\x3d'"+h.domain+"';";f[k]=u+"void(0);"}try{var v=f.contentWindow[q];v.write(b()); v.close()}catch(w){f[k]=u+'d.write("'+b().replace(/"/g,String.fromCharCode(92)+'"')+'");d.close();'}a.P(2)};a.l&&setTimeout(t,0)})()}();c[b].lv="1";return c[b]}var r="lightningjs",m=window[r]=g(r);m.require=g;m.modules=c}({});window.usabilla_live=lightningjs.require("usabilla_live","//w.usabilla.com/39ba22add62c.js"); diff --git a/src/data/compiled_bios/274.txt b/src/data/compiled_bios/274.txt new file mode 100644 index 0000000000..2eae647d5a --- /dev/null +++ b/src/data/compiled_bios/274.txt @@ -0,0 +1 @@ +Assistant ProfessorLinguistics & Computer ScienceGeorgetown University Researcher, teacher, and all-around enthusiast of computational linguistics and natural language processing updated 3 Jan 2019 diff --git a/src/data/compiled_bios/2740.txt b/src/data/compiled_bios/2740.txt new file mode 100644 index 0000000000..d8b6eb5f99 --- /dev/null +++ b/src/data/compiled_bios/2740.txt @@ -0,0 +1 @@ + Ana Luca Garca Pulido Homepage Homepage I am a postdoc working with Dr. Vitaliy Kurlin in the Topological Data Analysis group at the University of Liverpool . Recently I worked as a consultant Data Scientist at Academic Work Finland in an Artificial Intelligence start-up. In 2016 I completed a postdoctoral fellowship at the Centre of Research in Mathematics (CIMAT) in Guanajuato. In the summer of 2013 I finished a PhD in Mathematics at the University of Warwick. My mathematical research interests lie broadly in algebraic topology and geometry. Currently my main research focus is in topological data analysis. During my PhD I worked in string topology. In my postdoc, I worked in differential geometry, specifically in Spin geometry. I am also interested in index theories and elliptic cohomology. I am interested in solving problems in Data Science. My projects, some of which are work in progress, can be found in GitHub. Publications Arizmendi G., Garcia Pulido A. L., Herrera R. A note on the geometry and topology of almost even-Clifford manifolds . Quarterly Journal of Mathematics, Volume 69, Issue 1, 1 March 2018, Pages 321-376, Oxford University Press. Garcia Pulido A. L., Herrera R. Rigidity and vanishing theorems for almost even-Clifford Hermitian manifolds . SIGMA 13, (2017), 027, 28 pages Garcia Pulido A. L., Models and string topology , 2012, Ph.D. Thesis, University of Warwick. Preprints Garcia Pulido A. L., Herrera R. Decompositions of spin representations with respect to normalisers of spin subalgebras of low rank . In preparation: new progress has been made from late 2017 to the present. 24 pages, 2015 version Garcia Pulido A. L., Jones J. D. S. Models and String Homology . Preprint Ana Luca Garca Pulido Ana Luca Garca Pulido winsy17@gmail.com winsy17 I am a postdoc at the University of Liverpool. In 2016 completed a postdoctoral fellowship at the Centre of Research in Mathematics (CIMAT) in Guanajuato. In the summer of 2013 I finished my PhD at the University of Warwick under the supervision of Prof. John Jones. diff --git a/src/data/compiled_bios/2741.txt b/src/data/compiled_bios/2741.txt new file mode 100644 index 0000000000..f7249db0d3 --- /dev/null +++ b/src/data/compiled_bios/2741.txt @@ -0,0 +1 @@ + Maryam Kamali University of Liverpool Home Research Publications Contact About me I am a research associate at the University of Liverpool working with Prof. Michael Fisher . Currently I am involved in the Verifiable Autonomy project. I am also a member of the Logic and Computation research group . I received a Ph.D. in Computer Science from Abo Akademi University , Finland in September 2013. My research focus was on formal specification and verification of networked systems, using theorem prover and model checker. Events We organized an Agent Verification Workshop on 11th September 2015. diff --git a/src/data/compiled_bios/2742.txt b/src/data/compiled_bios/2742.txt new file mode 100644 index 0000000000..c380bb18f7 --- /dev/null +++ b/src/data/compiled_bios/2742.txt @@ -0,0 +1 @@ + Search the University Open submenu (Study with Liverpool) Study with Liverpool Open submenu (Our Research) Our Research Open submenu (About Us) About Us Sign in Staff Students A-Z Back to main menu Study with Liverpool Study with Liverpool Find a course Select type Any level Undergraduate Postgraduate Taught Courses Postgraduate Research Degrees Study in Liverpool All study opportunities Undergraduate Postgraduate taught Postgraduate research Foundation courses Access courses International students Continuing education Study globally Study in London Study in China Study online 96%+ of our graduates are in employment or further study six months after graduation. Back to main menu Our Research Our research Research Our research A-Z of research groups REF 2014 Postgraduate Research PhD degrees Liverpool Doctoral College Research and business collaboration Collaborate with us How you can work with us Research with real world impact Back to main menu About Us About us Our story About the University Key people Accounts and main documents Strategy 2026 Key information News Events Departments Library Alumni Sports Conferences Jobs Accommodation Our locations Maps Contact us Advancing knowledge to transform lives facebook twitter youtube instagram linkedin Skip navigation Study with Liverpool 96%+ of our graduates are in employment or further study six months after graduation. Study with Liverpool Find a course Select type Any level Undergraduate Postgraduate Taught Courses Postgraduate Research Degrees Study in Liverpool All study opportunities Undergraduate Postgraduate taught Postgraduate research Foundation courses Access courses International students Continuing education Continuing professional development Study globally Study in London Study in China Study online Our research Research with real world impact Our research Research Our research A-Z of research groups REF 2014 Postgraduate Research PhD degrees Liverpool Doctoral College Research and business collaboration Collaborate with us How you can work with us About us Advancing knowledge to transform lives About us Our story About the University Key people Accounts and main documents Strategy 2026 Key information News Events Departments Library Alumni Sports Conferences Jobs Accommodation Our locations Maps Contact us Search the University Sign in: Staff / Students A-Z Sign in Sign in: Staff / Students Our story / Teaching & learning / Research / The city of Liverpool / International university / Our organisation Department of Computer Science Department of Computer Science menu About Undergraduate Postgraduate Research Continuing Professional Development People Alumni News Industry Partners Contacts and Finding Us Department of Computer Science About Undergraduate Postgraduate Research Continuing Professional Development People Alumni News Industry Partners Contacts and Finding Us Part of the School of Electrical Engineering, Electronics & Computer Science Department Intranets: Current Students' Intranet University home > Department of Computer Science > Staff > Georgios Kourtis details, summary {display: block;} details.details_shim_closed > * {display: none;} details.details_shim_closed > summary {display: block;} details.details_shim_open > summary {display: block;} details.details_shim_closed > summary:before {display: inline-block; content: "\25b6"; padding: 0 0.1em; margin-right: 0.4em; font-size: 0.9em;} details.details_shim_open > summary:before {display: inline-block; content: "\25bc"; padding: 0; margin-right: 0.35em;} /** * details-shim.js * A pure JavaScript (no dependencies) solution to make HTML5 * Details/Summary tags work in unsupportive browsers * * Copyright (c) 2013 Tyler Uebele * Released under the MIT license. See included LICENSE.txt * or http://opensource.org/licenses/MIT * * latest version available at https://github.com/tyleruebele/details-shim */ /** * Enable proper operation of
tags in unsupportive browsers * * @param Details details element to shim * @returns {boolean} false on error */ function details_shim(Details) { // For backward compatibility, if no DOM Element is sent, call init() if (!Details || !('nodeType' in Details) || !('tagName' in Details)) { return details_shim.init(); } var Summary; // If we were passed a details tag, find its summary tag if ('details' == Details.tagName.toLowerCase()) { // Assume first found summary tag is the corresponding summary tag Summary = Details.getElementsByTagName('summary')[0]; // If we were passed a summary tag, find its details tag } else if (!!Details.parentNode && 'summary' == Details.tagName.toLowerCase() ) { Summary = Details; Details = Summary.parentNode; } else { // An invalid parameter was passed for Details return false; } // If the details tag is natively supported or already shimmed if ('boolean' == typeof Details.open) { // If native, remove custom classes if (!Details.getAttribute('data-open')) { Details.className = Details.className .replace(/\bdetails_shim_open\b|\bdetails_shim_closed\b/g, ' '); } return false; } // Set initial class according to `open` attribute var state = Details.outerHTML // OR older firefox doesn't have .outerHTML || new XMLSerializer().serializeToString(Details); state = state.substring(0, state.indexOf('>')); // Read: There is an open attribute, and it's not explicitly empty state = (-1 != state.indexOf('open') && -1 == state.indexOf('open=""')) ? 'open' : 'closed' ; Details.setAttribute('data-open', state); Details.className += ' details_shim_' + state; // Add onclick handler to toggle visibility class Summary.addEventListener ? Summary.addEventListener('click', function() { details_shim.toggle(Details); }) : Summary.attachEvent && Summary.attachEvent('onclick', function() { details_shim.toggle(Details); }) ; Object.defineProperty(Details, 'open', { get: function() { return 'open' == this.getAttribute('data-open'); }, set: function(state) { details_shim.toggle(this, state); } }); // wrap text nodes in span to expose them to css for (var j = 0; j < Details.childNodes.length; j++) { if (Details.childNodes[j].nodeType == 3 && /[^\s]/.test(Details.childNodes[j].data) ) { var span = document.createElement('span'); var text = Details.childNodes[j]; Details.insertBefore(span, text); Details.removeChild(text); span.appendChild(text); } } } // details_shim() /** * Toggle the open state of specified
tag * @param Details The
tag to toggle * @param state Optional override state */ details_shim.toggle = function(Details, state) { // If state was not passed, seek current state if ('undefined' === typeof state) { // new state state = Details.getAttribute('data-open') == 'open' ? 'closed' : 'open' ; } else { // Sanitize the input, expect boolean, force string // Expecting boolean means even 'closed' will result in an open // This is the behavior of the natively supportive browsers state = !!state ? 'open' : 'closed'; } Details.setAttribute('data-open', state); // replace previous open/close class Details.className = Details.className .replace(/\bdetails_shim_open\b|\bdetails_shim_closed\b/g, ' ') + ' details_shim_' + state; }; /** * Run details_shim() on each details tag */ details_shim.init = function() { // Because
must include a , // collecting tags collects *valid*
tags var Summaries = document.getElementsByTagName('summary'); for (var i = 0; i < Summaries.length; i++) { details_shim(Summaries[i]); } }; // Run details_shim.init() when the page loads window.addEventListener ? window.addEventListener('load', details_shim.init, false) : window.attachEvent && window.attachEvent('onload', details_shim.init) ; Dr Georgios Kourtis Computer Science +44 (0)151 795 4237 Ext. 54237 Work email G.Kourtis@liverpool.ac.uk +44 (0)151 795 4237 Ext. 54237 Work email G.Kourtis@liverpool.ac.uk Untitled Document Department of Computer Science About Undergraduate Postgraduate Research Continuing Professional Development People Alumni News Industry Partners Contacts and Finding Us jQuery(function(t){t.tosrus.defaults.media.image={filterAnchors:function(t){return t.attr("href").indexOf("lorempixel.com")>-1}},t("#global-list a").tosrus({buttons:!0})}); .hidden { display: none; } / Welcome: / / Espaol A Connected University: Liverpool / Suzhou, China / London / Singapore / Online Read more about our connected university Liverpool Our Liverpool city centre campus forms the central point of our offering in world-class teaching, leading research and innovative industrial opportunities. Explore: Study / Research / About 1,300+ leading researchers 22,000+ students 600m campus investment programme Read more about our connected university Suzhou, China Our joint University venture, Xi'an Jiaotong-Liverpool University (XJTLU) . Our unique University partnership in Suzhou is home to state-of-the-art teaching, cutting edge research and our ground-breaking Year in China programme . Explore: Study / Research / About 7,400+ students 14 departments 4 teaching centres Read more about our connected university London Our campus in the heart of Londons financial district offers innovative, professionally-focused postgraduate teaching and business collaboration opportunities. Explore: Study / About We deliver an exceptional postgraduate learning experience in the heart of the City of London. Read more about our connected university Singapore In partnership with Singapore Institute of Technology . Our collaboration in Singapore integrates study with research and is specifically contextualised for South East Asia. Explore: Welcome / Undergraduate programmes Read more about our connected university Online degrees In partnership with Laureate Online Education . As pioneers of online education, we are UK's leading provider of fully online postgraduate education. Explore: Study / About 8,000+ online students 160 active countries 30+ degree programmes University of Liverpool, Liverpool L69 3BX, United Kingdom +44 (0)151 794 2000 Switchboard: +44 (0)151 794 2000 Student enquiries: +44 (0) 151 794 5927 University of Liverpool a member of the Russell Group / Terms and Conditions / Map / Contact us facebook Twitter youtube instagram linkedin var serviceUrl = "//api.reciteme.com/asset/js?key="; var serviceKey = "fb7f15d5eb0f967326011bc7b867c40546b47ae5"; var options = {}; // Options can be added as needed var autoLoad = false; var enableFragment = "#reciteEnable"; var loaded=[],frag=!1;window.location.hash===enableFragment&&(frag=!0);function loadScript(c,b){var a=document.createElement("script");a.type="text/javascript";a.readyState?a.onreadystatechange=function(){if("loaded"==a.readyState||"complete"==a.readyState)a.onreadystatechange=null,void 0!=b&&b()}:void 0!=b&&(a.onload=function(){b()});a.src=c;document.getElementsByTagName("head")[0].appendChild(a)}function _rc(c){c+="=";for(var b=document.cookie.split(";"),a=0;a sticky_navigation_offset_top) { $('#universal-header, #main-content').addClass('stuck'); } else { $('#universal-header, #main-content').removeClass('stuck'); } }; // run our function on load sticky_navigation(); // and run it again every time you scroll $(window).scroll(function() { sticky_navigation(); }); }); window.lightningjs||function(c){function g(b,d){d&&(d+=(/\?/.test(d)?"\x26":"?")+"lv\x3d1");c[b]||function(){var k=window,h=document,l=b,g=h.location.protocol,n="load",m=0;(function(){function b(){a.P(n);a.w=1;c[l]("_load")}c[l]=function(){function p(){p.id=e;return c[l].apply(p,arguments)}var e=++m;var b=this&&this!=k?this.id||0:0;(a.s=a.s||[]).push([e,b,arguments]);p.then=function(b,c,h){var d=a.fh[e]=a.fh[e]||[],l=a.eh[e]=a.eh[e]||[],f=a.ph[e]=a.ph[e]||[];b&&d.push(b);c&&l.push(c);h&&f.push(h); return p};return p};var a=c[l]._={};a.fh={};a.eh={};a.ph={};a.l=d?d.replace(/^\/\//,("https:"==g?g:"http:")+"//"):d;a.p={0:+new Date};a.P=function(b){a.p[b]=new Date-a.p[0]};a.w&&b();k.addEventListener?k.addEventListener(n,b,!1):k.attachEvent("on"+n,b);var t=function(){function b(){return["\x3chead\x3e\x3c/head\x3e\x3c",e,' onload\x3d"var d\x3d',q,";d.getElementsByTagName('head')[0].",d,"(d.",g,"('script')).",k,"\x3d'",a.l,"'\"\x3e\x3c/",e,"\x3e"].join("")}var e="body",c=h[e];if(!c)return setTimeout(t, 100);a.P(1);var d="appendChild",g="createElement",k="src",m=h[g]("div"),n=m[d](h[g]("div")),f=h[g]("iframe"),q="document";m.style.display="none";c.insertBefore(m,c.firstChild).id=r+"-"+l;f.frameBorder="0";f.id=r+"-frame-"+l;/MSIE[ ]+6/.test(navigator.userAgent)&&(f[k]="javascript:false");f.allowTransparency="true";n[d](f);try{f.contentWindow[q].open()}catch(w){a.domain=h.domain;var u="javascript:var d\x3d"+q+".open();d.domain\x3d'"+h.domain+"';";f[k]=u+"void(0);"}try{var v=f.contentWindow[q];v.write(b()); v.close()}catch(w){f[k]=u+'d.write("'+b().replace(/"/g,String.fromCharCode(92)+'"')+'");d.close();'}a.P(2)};a.l&&setTimeout(t,0)})()}();c[b].lv="1";return c[b]}var r="lightningjs",m=window[r]=g(r);m.require=g;m.modules=c}({});window.usabilla_live=lightningjs.require("usabilla_live","//w.usabilla.com/39ba22add62c.js"); diff --git a/src/data/compiled_bios/2743.txt b/src/data/compiled_bios/2743.txt new file mode 100644 index 0000000000..cc35c8f91b --- /dev/null +++ b/src/data/compiled_bios/2743.txt @@ -0,0 +1 @@ + Search the University Open submenu (Study with Liverpool) Study with Liverpool Open submenu (Our Research) Our Research Open submenu (About Us) About Us Sign in Staff Students A-Z Back to main menu Study with Liverpool Study with Liverpool Find a course Select type Any level Undergraduate Postgraduate Taught Courses Postgraduate Research Degrees Study in Liverpool All study opportunities Undergraduate Postgraduate taught Postgraduate research Foundation courses Access courses International students Continuing education Study globally Study in London Study in China Study online 96%+ of our graduates are in employment or further study six months after graduation. Back to main menu Our Research Our research Research Our research A-Z of research groups REF 2014 Postgraduate Research PhD degrees Liverpool Doctoral College Research and business collaboration Collaborate with us How you can work with us Research with real world impact Back to main menu About Us About us Our story About the University Key people Accounts and main documents Strategy 2026 Key information News Events Departments Library Alumni Sports Conferences Jobs Accommodation Our locations Maps Contact us Advancing knowledge to transform lives facebook twitter youtube instagram linkedin Skip navigation Study with Liverpool 96%+ of our graduates are in employment or further study six months after graduation. Study with Liverpool Find a course Select type Any level Undergraduate Postgraduate Taught Courses Postgraduate Research Degrees Study in Liverpool All study opportunities Undergraduate Postgraduate taught Postgraduate research Foundation courses Access courses International students Continuing education Continuing professional development Study globally Study in London Study in China Study online Our research Research with real world impact Our research Research Our research A-Z of research groups REF 2014 Postgraduate Research PhD degrees Liverpool Doctoral College Research and business collaboration Collaborate with us How you can work with us About us Advancing knowledge to transform lives About us Our story About the University Key people Accounts and main documents Strategy 2026 Key information News Events Departments Library Alumni Sports Conferences Jobs Accommodation Our locations Maps Contact us Search the University Sign in: Staff / Students A-Z Sign in Sign in: Staff / Students Our story / Teaching & learning / Research / The city of Liverpool / International university / Our organisation Department of Computer Science Department of Computer Science menu About Undergraduate Postgraduate Research Continuing Professional Development People Alumni News Industry Partners Contacts and Finding Us Department of Computer Science About Undergraduate Postgraduate Research Continuing Professional Development People Alumni News Industry Partners Contacts and Finding Us Part of the School of Electrical Engineering, Electronics & Computer Science Department Intranets: Current Students' Intranet University home > Department of Computer Science > Staff > Louwe Kuijer details, summary {display: block;} details.details_shim_closed > * {display: none;} details.details_shim_closed > summary {display: block;} details.details_shim_open > summary {display: block;} details.details_shim_closed > summary:before {display: inline-block; content: "\25b6"; padding: 0 0.1em; margin-right: 0.4em; font-size: 0.9em;} details.details_shim_open > summary:before {display: inline-block; content: "\25bc"; padding: 0; margin-right: 0.35em;} /** * details-shim.js * A pure JavaScript (no dependencies) solution to make HTML5 * Details/Summary tags work in unsupportive browsers * * Copyright (c) 2013 Tyler Uebele * Released under the MIT license. See included LICENSE.txt * or http://opensource.org/licenses/MIT * * latest version available at https://github.com/tyleruebele/details-shim */ /** * Enable proper operation of
tags in unsupportive browsers * * @param Details details element to shim * @returns {boolean} false on error */ function details_shim(Details) { // For backward compatibility, if no DOM Element is sent, call init() if (!Details || !('nodeType' in Details) || !('tagName' in Details)) { return details_shim.init(); } var Summary; // If we were passed a details tag, find its summary tag if ('details' == Details.tagName.toLowerCase()) { // Assume first found summary tag is the corresponding summary tag Summary = Details.getElementsByTagName('summary')[0]; // If we were passed a summary tag, find its details tag } else if (!!Details.parentNode && 'summary' == Details.tagName.toLowerCase() ) { Summary = Details; Details = Summary.parentNode; } else { // An invalid parameter was passed for Details return false; } // If the details tag is natively supported or already shimmed if ('boolean' == typeof Details.open) { // If native, remove custom classes if (!Details.getAttribute('data-open')) { Details.className = Details.className .replace(/\bdetails_shim_open\b|\bdetails_shim_closed\b/g, ' '); } return false; } // Set initial class according to `open` attribute var state = Details.outerHTML // OR older firefox doesn't have .outerHTML || new XMLSerializer().serializeToString(Details); state = state.substring(0, state.indexOf('>')); // Read: There is an open attribute, and it's not explicitly empty state = (-1 != state.indexOf('open') && -1 == state.indexOf('open=""')) ? 'open' : 'closed' ; Details.setAttribute('data-open', state); Details.className += ' details_shim_' + state; // Add onclick handler to toggle visibility class Summary.addEventListener ? Summary.addEventListener('click', function() { details_shim.toggle(Details); }) : Summary.attachEvent && Summary.attachEvent('onclick', function() { details_shim.toggle(Details); }) ; Object.defineProperty(Details, 'open', { get: function() { return 'open' == this.getAttribute('data-open'); }, set: function(state) { details_shim.toggle(this, state); } }); // wrap text nodes in span to expose them to css for (var j = 0; j < Details.childNodes.length; j++) { if (Details.childNodes[j].nodeType == 3 && /[^\s]/.test(Details.childNodes[j].data) ) { var span = document.createElement('span'); var text = Details.childNodes[j]; Details.insertBefore(span, text); Details.removeChild(text); span.appendChild(text); } } } // details_shim() /** * Toggle the open state of specified
tag * @param Details The
tag to toggle * @param state Optional override state */ details_shim.toggle = function(Details, state) { // If state was not passed, seek current state if ('undefined' === typeof state) { // new state state = Details.getAttribute('data-open') == 'open' ? 'closed' : 'open' ; } else { // Sanitize the input, expect boolean, force string // Expecting boolean means even 'closed' will result in an open // This is the behavior of the natively supportive browsers state = !!state ? 'open' : 'closed'; } Details.setAttribute('data-open', state); // replace previous open/close class Details.className = Details.className .replace(/\bdetails_shim_open\b|\bdetails_shim_closed\b/g, ' ') + ' details_shim_' + state; }; /** * Run details_shim() on each details tag */ details_shim.init = function() { // Because
must include a , // collecting tags collects *valid*
tags var Summaries = document.getElementsByTagName('summary'); for (var i = 0; i < Summaries.length; i++) { details_shim(Summaries[i]); } }; // Run details_shim.init() when the page loads window.addEventListener ? window.addEventListener('load', details_shim.init, false) : window.attachEvent && window.attachEvent('onload', details_shim.init) ; Dr Louwe Kuijer Computer Science Work email Louwe.Kuijer@liverpool.ac.uk Publications Teaching and learning Work email Louwe.Kuijer@liverpool.ac.uk Untitled Document Department of Computer Science About Undergraduate Postgraduate Research Continuing Professional Development People Alumni News Industry Partners Contacts and Finding Us jQuery(function(t){t.tosrus.defaults.media.image={filterAnchors:function(t){return t.attr("href").indexOf("lorempixel.com")>-1}},t("#global-list a").tosrus({buttons:!0})}); .hidden { display: none; } / Welcome: / / Espaol A Connected University: Liverpool / Suzhou, China / London / Singapore / Online Read more about our connected university Liverpool Our Liverpool city centre campus forms the central point of our offering in world-class teaching, leading research and innovative industrial opportunities. Explore: Study / Research / About 1,300+ leading researchers 22,000+ students 600m campus investment programme Read more about our connected university Suzhou, China Our joint University venture, Xi'an Jiaotong-Liverpool University (XJTLU) . Our unique University partnership in Suzhou is home to state-of-the-art teaching, cutting edge research and our ground-breaking Year in China programme . Explore: Study / Research / About 7,400+ students 14 departments 4 teaching centres Read more about our connected university London Our campus in the heart of Londons financial district offers innovative, professionally-focused postgraduate teaching and business collaboration opportunities. Explore: Study / About We deliver an exceptional postgraduate learning experience in the heart of the City of London. Read more about our connected university Singapore In partnership with Singapore Institute of Technology . Our collaboration in Singapore integrates study with research and is specifically contextualised for South East Asia. Explore: Welcome / Undergraduate programmes Read more about our connected university Online degrees In partnership with Laureate Online Education . As pioneers of online education, we are UK's leading provider of fully online postgraduate education. Explore: Study / About 8,000+ online students 160 active countries 30+ degree programmes University of Liverpool, Liverpool L69 3BX, United Kingdom +44 (0)151 794 2000 Switchboard: +44 (0)151 794 2000 Student enquiries: +44 (0) 151 794 5927 University of Liverpool a member of the Russell Group / Terms and Conditions / Map / Contact us facebook Twitter youtube instagram linkedin var serviceUrl = "//api.reciteme.com/asset/js?key="; var serviceKey = "fb7f15d5eb0f967326011bc7b867c40546b47ae5"; var options = {}; // Options can be added as needed var autoLoad = false; var enableFragment = "#reciteEnable"; var loaded=[],frag=!1;window.location.hash===enableFragment&&(frag=!0);function loadScript(c,b){var a=document.createElement("script");a.type="text/javascript";a.readyState?a.onreadystatechange=function(){if("loaded"==a.readyState||"complete"==a.readyState)a.onreadystatechange=null,void 0!=b&&b()}:void 0!=b&&(a.onload=function(){b()});a.src=c;document.getElementsByTagName("head")[0].appendChild(a)}function _rc(c){c+="=";for(var b=document.cookie.split(";"),a=0;a sticky_navigation_offset_top) { $('#universal-header, #main-content').addClass('stuck'); } else { $('#universal-header, #main-content').removeClass('stuck'); } }; // run our function on load sticky_navigation(); // and run it again every time you scroll $(window).scroll(function() { sticky_navigation(); }); }); window.lightningjs||function(c){function g(b,d){d&&(d+=(/\?/.test(d)?"\x26":"?")+"lv\x3d1");c[b]||function(){var k=window,h=document,l=b,g=h.location.protocol,n="load",m=0;(function(){function b(){a.P(n);a.w=1;c[l]("_load")}c[l]=function(){function p(){p.id=e;return c[l].apply(p,arguments)}var e=++m;var b=this&&this!=k?this.id||0:0;(a.s=a.s||[]).push([e,b,arguments]);p.then=function(b,c,h){var d=a.fh[e]=a.fh[e]||[],l=a.eh[e]=a.eh[e]||[],f=a.ph[e]=a.ph[e]||[];b&&d.push(b);c&&l.push(c);h&&f.push(h); return p};return p};var a=c[l]._={};a.fh={};a.eh={};a.ph={};a.l=d?d.replace(/^\/\//,("https:"==g?g:"http:")+"//"):d;a.p={0:+new Date};a.P=function(b){a.p[b]=new Date-a.p[0]};a.w&&b();k.addEventListener?k.addEventListener(n,b,!1):k.attachEvent("on"+n,b);var t=function(){function b(){return["\x3chead\x3e\x3c/head\x3e\x3c",e,' onload\x3d"var d\x3d',q,";d.getElementsByTagName('head')[0].",d,"(d.",g,"('script')).",k,"\x3d'",a.l,"'\"\x3e\x3c/",e,"\x3e"].join("")}var e="body",c=h[e];if(!c)return setTimeout(t, 100);a.P(1);var d="appendChild",g="createElement",k="src",m=h[g]("div"),n=m[d](h[g]("div")),f=h[g]("iframe"),q="document";m.style.display="none";c.insertBefore(m,c.firstChild).id=r+"-"+l;f.frameBorder="0";f.id=r+"-frame-"+l;/MSIE[ ]+6/.test(navigator.userAgent)&&(f[k]="javascript:false");f.allowTransparency="true";n[d](f);try{f.contentWindow[q].open()}catch(w){a.domain=h.domain;var u="javascript:var d\x3d"+q+".open();d.domain\x3d'"+h.domain+"';";f[k]=u+"void(0);"}try{var v=f.contentWindow[q];v.write(b()); v.close()}catch(w){f[k]=u+'d.write("'+b().replace(/"/g,String.fromCharCode(92)+'"')+'");d.close();'}a.P(2)};a.l&&setTimeout(t,0)})()}();c[b].lv="1";return c[b]}var r="lightningjs",m=window[r]=g(r);m.require=g;m.modules=c}({});window.usabilla_live=lightningjs.require("usabilla_live","//w.usabilla.com/39ba22add62c.js"); diff --git a/src/data/compiled_bios/2744.txt b/src/data/compiled_bios/2744.txt new file mode 100644 index 0000000000..8425796e39 --- /dev/null +++ b/src/data/compiled_bios/2744.txt @@ -0,0 +1 @@ + Search the University Open submenu (Study with Liverpool) Study with Liverpool Open submenu (Our Research) Our Research Open submenu (About Us) About Us Sign in Staff Students A-Z Back to main menu Study with Liverpool Study with Liverpool Find a course Select type Any level Undergraduate Postgraduate Taught Courses Postgraduate Research Degrees Study in Liverpool All study opportunities Undergraduate Postgraduate taught Postgraduate research Foundation courses Access courses International students Continuing education Study globally Study in London Study in China Study online 96%+ of our graduates are in employment or further study six months after graduation. Back to main menu Our Research Our research Research Our research A-Z of research groups REF 2014 Postgraduate Research PhD degrees Liverpool Doctoral College Research and business collaboration Collaborate with us How you can work with us Research with real world impact Back to main menu About Us About us Our story About the University Key people Accounts and main documents Strategy 2026 Key information News Events Departments Library Alumni Sports Conferences Jobs Accommodation Our locations Maps Contact us Advancing knowledge to transform lives facebook twitter youtube instagram linkedin Skip navigation Study with Liverpool 96%+ of our graduates are in employment or further study six months after graduation. Study with Liverpool Find a course Select type Any level Undergraduate Postgraduate Taught Courses Postgraduate Research Degrees Study in Liverpool All study opportunities Undergraduate Postgraduate taught Postgraduate research Foundation courses Access courses International students Continuing education Continuing professional development Study globally Study in London Study in China Study online Our research Research with real world impact Our research Research Our research A-Z of research groups REF 2014 Postgraduate Research PhD degrees Liverpool Doctoral College Research and business collaboration Collaborate with us How you can work with us About us Advancing knowledge to transform lives About us Our story About the University Key people Accounts and main documents Strategy 2026 Key information News Events Departments Library Alumni Sports Conferences Jobs Accommodation Our locations Maps Contact us Search the University Sign in: Staff / Students A-Z Sign in Sign in: Staff / Students Our story / Teaching & learning / Research / The city of Liverpool / International university / Our organisation Department of Computer Science Department of Computer Science menu About Undergraduate Postgraduate Research Continuing Professional Development People Alumni News Industry Partners Contacts and Finding Us Department of Computer Science About Undergraduate Postgraduate Research Continuing Professional Development People Alumni News Industry Partners Contacts and Finding Us Part of the School of Electrical Engineering, Electronics & Computer Science Department Intranets: Current Students' Intranet University home > Department of Computer Science > Staff > Sven Linker details, summary {display: block;} details.details_shim_closed > * {display: none;} details.details_shim_closed > summary {display: block;} details.details_shim_open > summary {display: block;} details.details_shim_closed > summary:before {display: inline-block; content: "\25b6"; padding: 0 0.1em; margin-right: 0.4em; font-size: 0.9em;} details.details_shim_open > summary:before {display: inline-block; content: "\25bc"; padding: 0; margin-right: 0.35em;} /** * details-shim.js * A pure JavaScript (no dependencies) solution to make HTML5 * Details/Summary tags work in unsupportive browsers * * Copyright (c) 2013 Tyler Uebele * Released under the MIT license. See included LICENSE.txt * or http://opensource.org/licenses/MIT * * latest version available at https://github.com/tyleruebele/details-shim */ /** * Enable proper operation of
tags in unsupportive browsers * * @param Details details element to shim * @returns {boolean} false on error */ function details_shim(Details) { // For backward compatibility, if no DOM Element is sent, call init() if (!Details || !('nodeType' in Details) || !('tagName' in Details)) { return details_shim.init(); } var Summary; // If we were passed a details tag, find its summary tag if ('details' == Details.tagName.toLowerCase()) { // Assume first found summary tag is the corresponding summary tag Summary = Details.getElementsByTagName('summary')[0]; // If we were passed a summary tag, find its details tag } else if (!!Details.parentNode && 'summary' == Details.tagName.toLowerCase() ) { Summary = Details; Details = Summary.parentNode; } else { // An invalid parameter was passed for Details return false; } // If the details tag is natively supported or already shimmed if ('boolean' == typeof Details.open) { // If native, remove custom classes if (!Details.getAttribute('data-open')) { Details.className = Details.className .replace(/\bdetails_shim_open\b|\bdetails_shim_closed\b/g, ' '); } return false; } // Set initial class according to `open` attribute var state = Details.outerHTML // OR older firefox doesn't have .outerHTML || new XMLSerializer().serializeToString(Details); state = state.substring(0, state.indexOf('>')); // Read: There is an open attribute, and it's not explicitly empty state = (-1 != state.indexOf('open') && -1 == state.indexOf('open=""')) ? 'open' : 'closed' ; Details.setAttribute('data-open', state); Details.className += ' details_shim_' + state; // Add onclick handler to toggle visibility class Summary.addEventListener ? Summary.addEventListener('click', function() { details_shim.toggle(Details); }) : Summary.attachEvent && Summary.attachEvent('onclick', function() { details_shim.toggle(Details); }) ; Object.defineProperty(Details, 'open', { get: function() { return 'open' == this.getAttribute('data-open'); }, set: function(state) { details_shim.toggle(this, state); } }); // wrap text nodes in span to expose them to css for (var j = 0; j < Details.childNodes.length; j++) { if (Details.childNodes[j].nodeType == 3 && /[^\s]/.test(Details.childNodes[j].data) ) { var span = document.createElement('span'); var text = Details.childNodes[j]; Details.insertBefore(span, text); Details.removeChild(text); span.appendChild(text); } } } // details_shim() /** * Toggle the open state of specified
tag * @param Details The
tag to toggle * @param state Optional override state */ details_shim.toggle = function(Details, state) { // If state was not passed, seek current state if ('undefined' === typeof state) { // new state state = Details.getAttribute('data-open') == 'open' ? 'closed' : 'open' ; } else { // Sanitize the input, expect boolean, force string // Expecting boolean means even 'closed' will result in an open // This is the behavior of the natively supportive browsers state = !!state ? 'open' : 'closed'; } Details.setAttribute('data-open', state); // replace previous open/close class Details.className = Details.className .replace(/\bdetails_shim_open\b|\bdetails_shim_closed\b/g, ' ') + ' details_shim_' + state; }; /** * Run details_shim() on each details tag */ details_shim.init = function() { // Because
must include a , // collecting tags collects *valid*
tags var Summaries = document.getElementsByTagName('summary'); for (var i = 0; i < Summaries.length; i++) { details_shim(Summaries[i]); } }; // Run details_shim.init() when the page loads window.addEventListener ? window.addEventListener('load', details_shim.init, false) : window.attachEvent && window.attachEvent('onload', details_shim.init) ; Dr Sven Linker Computer Science +44 (0)151 795 4237 Work email S.Linker@liverpool.ac.uk Publications +44 (0)151 795 4237 Work email S.Linker@liverpool.ac.uk Untitled Document Department of Computer Science About Undergraduate Postgraduate Research Continuing Professional Development People Alumni News Industry Partners Contacts and Finding Us jQuery(function(t){t.tosrus.defaults.media.image={filterAnchors:function(t){return t.attr("href").indexOf("lorempixel.com")>-1}},t("#global-list a").tosrus({buttons:!0})}); .hidden { display: none; } / Welcome: / / Espaol A Connected University: Liverpool / Suzhou, China / London / Singapore / Online Read more about our connected university Liverpool Our Liverpool city centre campus forms the central point of our offering in world-class teaching, leading research and innovative industrial opportunities. Explore: Study / Research / About 1,300+ leading researchers 22,000+ students 600m campus investment programme Read more about our connected university Suzhou, China Our joint University venture, Xi'an Jiaotong-Liverpool University (XJTLU) . Our unique University partnership in Suzhou is home to state-of-the-art teaching, cutting edge research and our ground-breaking Year in China programme . Explore: Study / Research / About 7,400+ students 14 departments 4 teaching centres Read more about our connected university London Our campus in the heart of Londons financial district offers innovative, professionally-focused postgraduate teaching and business collaboration opportunities. Explore: Study / About We deliver an exceptional postgraduate learning experience in the heart of the City of London. Read more about our connected university Singapore In partnership with Singapore Institute of Technology . Our collaboration in Singapore integrates study with research and is specifically contextualised for South East Asia. Explore: Welcome / Undergraduate programmes Read more about our connected university Online degrees In partnership with Laureate Online Education . As pioneers of online education, we are UK's leading provider of fully online postgraduate education. Explore: Study / About 8,000+ online students 160 active countries 30+ degree programmes University of Liverpool, Liverpool L69 3BX, United Kingdom +44 (0)151 794 2000 Switchboard: +44 (0)151 794 2000 Student enquiries: +44 (0) 151 794 5927 University of Liverpool a member of the Russell Group / Terms and Conditions / Map / Contact us facebook Twitter youtube instagram linkedin var serviceUrl = "//api.reciteme.com/asset/js?key="; var serviceKey = "fb7f15d5eb0f967326011bc7b867c40546b47ae5"; var options = {}; // Options can be added as needed var autoLoad = false; var enableFragment = "#reciteEnable"; var loaded=[],frag=!1;window.location.hash===enableFragment&&(frag=!0);function loadScript(c,b){var a=document.createElement("script");a.type="text/javascript";a.readyState?a.onreadystatechange=function(){if("loaded"==a.readyState||"complete"==a.readyState)a.onreadystatechange=null,void 0!=b&&b()}:void 0!=b&&(a.onload=function(){b()});a.src=c;document.getElementsByTagName("head")[0].appendChild(a)}function _rc(c){c+="=";for(var b=document.cookie.split(";"),a=0;a sticky_navigation_offset_top) { $('#universal-header, #main-content').addClass('stuck'); } else { $('#universal-header, #main-content').removeClass('stuck'); } }; // run our function on load sticky_navigation(); // and run it again every time you scroll $(window).scroll(function() { sticky_navigation(); }); }); window.lightningjs||function(c){function g(b,d){d&&(d+=(/\?/.test(d)?"\x26":"?")+"lv\x3d1");c[b]||function(){var k=window,h=document,l=b,g=h.location.protocol,n="load",m=0;(function(){function b(){a.P(n);a.w=1;c[l]("_load")}c[l]=function(){function p(){p.id=e;return c[l].apply(p,arguments)}var e=++m;var b=this&&this!=k?this.id||0:0;(a.s=a.s||[]).push([e,b,arguments]);p.then=function(b,c,h){var d=a.fh[e]=a.fh[e]||[],l=a.eh[e]=a.eh[e]||[],f=a.ph[e]=a.ph[e]||[];b&&d.push(b);c&&l.push(c);h&&f.push(h); return p};return p};var a=c[l]._={};a.fh={};a.eh={};a.ph={};a.l=d?d.replace(/^\/\//,("https:"==g?g:"http:")+"//"):d;a.p={0:+new Date};a.P=function(b){a.p[b]=new Date-a.p[0]};a.w&&b();k.addEventListener?k.addEventListener(n,b,!1):k.attachEvent("on"+n,b);var t=function(){function b(){return["\x3chead\x3e\x3c/head\x3e\x3c",e,' onload\x3d"var d\x3d',q,";d.getElementsByTagName('head')[0].",d,"(d.",g,"('script')).",k,"\x3d'",a.l,"'\"\x3e\x3c/",e,"\x3e"].join("")}var e="body",c=h[e];if(!c)return setTimeout(t, 100);a.P(1);var d="appendChild",g="createElement",k="src",m=h[g]("div"),n=m[d](h[g]("div")),f=h[g]("iframe"),q="document";m.style.display="none";c.insertBefore(m,c.firstChild).id=r+"-"+l;f.frameBorder="0";f.id=r+"-frame-"+l;/MSIE[ ]+6/.test(navigator.userAgent)&&(f[k]="javascript:false");f.allowTransparency="true";n[d](f);try{f.contentWindow[q].open()}catch(w){a.domain=h.domain;var u="javascript:var d\x3d"+q+".open();d.domain\x3d'"+h.domain+"';";f[k]=u+"void(0);"}try{var v=f.contentWindow[q];v.write(b()); v.close()}catch(w){f[k]=u+'d.write("'+b().replace(/"/g,String.fromCharCode(92)+'"')+'");d.close();'}a.P(2)};a.l&&setTimeout(t,0)})()}();c[b].lv="1";return c[b]}var r="lightningjs",m=window[r]=g(r);m.require=g;m.modules=c}({});window.usabilla_live=lightningjs.require("usabilla_live","//w.usabilla.com/39ba22add62c.js"); diff --git a/src/data/compiled_bios/2745.txt b/src/data/compiled_bios/2745.txt new file mode 100644 index 0000000000..c6cdf5ffc0 --- /dev/null +++ b/src/data/compiled_bios/2745.txt @@ -0,0 +1 @@ + Search the University Open submenu (Study with Liverpool) Study with Liverpool Open submenu (Our Research) Our Research Open submenu (About Us) About Us Sign in Staff Students A-Z Back to main menu Study with Liverpool Study with Liverpool Find a course Select type Any level Undergraduate Postgraduate Taught Courses Postgraduate Research Degrees Study in Liverpool All study opportunities Undergraduate Postgraduate taught Postgraduate research Foundation courses Access courses International students Continuing education Study globally Study in London Study in China Study online 96%+ of our graduates are in employment or further study six months after graduation. Back to main menu Our Research Our research Research Our research A-Z of research groups REF 2014 Postgraduate Research PhD degrees Liverpool Doctoral College Research and business collaboration Collaborate with us How you can work with us Research with real world impact Back to main menu About Us About us Our story About the University Key people Accounts and main documents Strategy 2026 Key information News Events Departments Library Alumni Sports Conferences Jobs Accommodation Our locations Maps Contact us Advancing knowledge to transform lives facebook twitter youtube instagram linkedin Skip navigation Study with Liverpool 96%+ of our graduates are in employment or further study six months after graduation. Study with Liverpool Find a course Select type Any level Undergraduate Postgraduate Taught Courses Postgraduate Research Degrees Study in Liverpool All study opportunities Undergraduate Postgraduate taught Postgraduate research Foundation courses Access courses International students Continuing education Continuing professional development Study globally Study in London Study in China Study online Our research Research with real world impact Our research Research Our research A-Z of research groups REF 2014 Postgraduate Research PhD degrees Liverpool Doctoral College Research and business collaboration Collaborate with us How you can work with us About us Advancing knowledge to transform lives About us Our story About the University Key people Accounts and main documents Strategy 2026 Key information News Events Departments Library Alumni Sports Conferences Jobs Accommodation Our locations Maps Contact us Search the University Sign in: Staff / Students A-Z Sign in Sign in: Staff / Students Our story / Teaching & learning / Research / The city of Liverpool / International university / Our organisation Department of Computer Science Department of Computer Science menu About Undergraduate Postgraduate Research Continuing Professional Development People Alumni News Industry Partners Contacts and Finding Us Department of Computer Science About Undergraduate Postgraduate Research Continuing Professional Development People Alumni News Industry Partners Contacts and Finding Us Part of the School of Electrical Engineering, Electronics & Computer Science Department Intranets: Current Students' Intranet University home > Department of Computer Science > Staff > Angrosh Mandya details, summary {display: block;} details.details_shim_closed > * {display: none;} details.details_shim_closed > summary {display: block;} details.details_shim_open > summary {display: block;} details.details_shim_closed > summary:before {display: inline-block; content: "\25b6"; padding: 0 0.1em; margin-right: 0.4em; font-size: 0.9em;} details.details_shim_open > summary:before {display: inline-block; content: "\25bc"; padding: 0; margin-right: 0.35em;} /** * details-shim.js * A pure JavaScript (no dependencies) solution to make HTML5 * Details/Summary tags work in unsupportive browsers * * Copyright (c) 2013 Tyler Uebele * Released under the MIT license. See included LICENSE.txt * or http://opensource.org/licenses/MIT * * latest version available at https://github.com/tyleruebele/details-shim */ /** * Enable proper operation of
tags in unsupportive browsers * * @param Details details element to shim * @returns {boolean} false on error */ function details_shim(Details) { // For backward compatibility, if no DOM Element is sent, call init() if (!Details || !('nodeType' in Details) || !('tagName' in Details)) { return details_shim.init(); } var Summary; // If we were passed a details tag, find its summary tag if ('details' == Details.tagName.toLowerCase()) { // Assume first found summary tag is the corresponding summary tag Summary = Details.getElementsByTagName('summary')[0]; // If we were passed a summary tag, find its details tag } else if (!!Details.parentNode && 'summary' == Details.tagName.toLowerCase() ) { Summary = Details; Details = Summary.parentNode; } else { // An invalid parameter was passed for Details return false; } // If the details tag is natively supported or already shimmed if ('boolean' == typeof Details.open) { // If native, remove custom classes if (!Details.getAttribute('data-open')) { Details.className = Details.className .replace(/\bdetails_shim_open\b|\bdetails_shim_closed\b/g, ' '); } return false; } // Set initial class according to `open` attribute var state = Details.outerHTML // OR older firefox doesn't have .outerHTML || new XMLSerializer().serializeToString(Details); state = state.substring(0, state.indexOf('>')); // Read: There is an open attribute, and it's not explicitly empty state = (-1 != state.indexOf('open') && -1 == state.indexOf('open=""')) ? 'open' : 'closed' ; Details.setAttribute('data-open', state); Details.className += ' details_shim_' + state; // Add onclick handler to toggle visibility class Summary.addEventListener ? Summary.addEventListener('click', function() { details_shim.toggle(Details); }) : Summary.attachEvent && Summary.attachEvent('onclick', function() { details_shim.toggle(Details); }) ; Object.defineProperty(Details, 'open', { get: function() { return 'open' == this.getAttribute('data-open'); }, set: function(state) { details_shim.toggle(this, state); } }); // wrap text nodes in span to expose them to css for (var j = 0; j < Details.childNodes.length; j++) { if (Details.childNodes[j].nodeType == 3 && /[^\s]/.test(Details.childNodes[j].data) ) { var span = document.createElement('span'); var text = Details.childNodes[j]; Details.insertBefore(span, text); Details.removeChild(text); span.appendChild(text); } } } // details_shim() /** * Toggle the open state of specified
tag * @param Details The
tag to toggle * @param state Optional override state */ details_shim.toggle = function(Details, state) { // If state was not passed, seek current state if ('undefined' === typeof state) { // new state state = Details.getAttribute('data-open') == 'open' ? 'closed' : 'open' ; } else { // Sanitize the input, expect boolean, force string // Expecting boolean means even 'closed' will result in an open // This is the behavior of the natively supportive browsers state = !!state ? 'open' : 'closed'; } Details.setAttribute('data-open', state); // replace previous open/close class Details.className = Details.className .replace(/\bdetails_shim_open\b|\bdetails_shim_closed\b/g, ' ') + ' details_shim_' + state; }; /** * Run details_shim() on each details tag */ details_shim.init = function() { // Because
must include a , // collecting tags collects *valid*
tags var Summaries = document.getElementsByTagName('summary'); for (var i = 0; i < Summaries.length; i++) { details_shim(Summaries[i]); } }; // Run details_shim.init() when the page loads window.addEventListener ? window.addEventListener('load', details_shim.init, false) : window.attachEvent && window.attachEvent('onload', details_shim.init) ; Dr Angrosh Mandya Computer Science Work email Angrosh.Mandya@liverpool.ac.uk Publications Work email Angrosh.Mandya@liverpool.ac.uk Untitled Document Department of Computer Science About Undergraduate Postgraduate Research Continuing Professional Development People Alumni News Industry Partners Contacts and Finding Us jQuery(function(t){t.tosrus.defaults.media.image={filterAnchors:function(t){return t.attr("href").indexOf("lorempixel.com")>-1}},t("#global-list a").tosrus({buttons:!0})}); .hidden { display: none; } / Welcome: / / Espaol A Connected University: Liverpool / Suzhou, China / London / Singapore / Online Read more about our connected university Liverpool Our Liverpool city centre campus forms the central point of our offering in world-class teaching, leading research and innovative industrial opportunities. Explore: Study / Research / About 1,300+ leading researchers 22,000+ students 600m campus investment programme Read more about our connected university Suzhou, China Our joint University venture, Xi'an Jiaotong-Liverpool University (XJTLU) . Our unique University partnership in Suzhou is home to state-of-the-art teaching, cutting edge research and our ground-breaking Year in China programme . Explore: Study / Research / About 7,400+ students 14 departments 4 teaching centres Read more about our connected university London Our campus in the heart of Londons financial district offers innovative, professionally-focused postgraduate teaching and business collaboration opportunities. Explore: Study / About We deliver an exceptional postgraduate learning experience in the heart of the City of London. Read more about our connected university Singapore In partnership with Singapore Institute of Technology . Our collaboration in Singapore integrates study with research and is specifically contextualised for South East Asia. Explore: Welcome / Undergraduate programmes Read more about our connected university Online degrees In partnership with Laureate Online Education . As pioneers of online education, we are UK's leading provider of fully online postgraduate education. Explore: Study / About 8,000+ online students 160 active countries 30+ degree programmes University of Liverpool, Liverpool L69 3BX, United Kingdom +44 (0)151 794 2000 Switchboard: +44 (0)151 794 2000 Student enquiries: +44 (0) 151 794 5927 University of Liverpool a member of the Russell Group / Terms and Conditions / Map / Contact us facebook Twitter youtube instagram linkedin var serviceUrl = "//api.reciteme.com/asset/js?key="; var serviceKey = "fb7f15d5eb0f967326011bc7b867c40546b47ae5"; var options = {}; // Options can be added as needed var autoLoad = false; var enableFragment = "#reciteEnable"; var loaded=[],frag=!1;window.location.hash===enableFragment&&(frag=!0);function loadScript(c,b){var a=document.createElement("script");a.type="text/javascript";a.readyState?a.onreadystatechange=function(){if("loaded"==a.readyState||"complete"==a.readyState)a.onreadystatechange=null,void 0!=b&&b()}:void 0!=b&&(a.onload=function(){b()});a.src=c;document.getElementsByTagName("head")[0].appendChild(a)}function _rc(c){c+="=";for(var b=document.cookie.split(";"),a=0;a sticky_navigation_offset_top) { $('#universal-header, #main-content').addClass('stuck'); } else { $('#universal-header, #main-content').removeClass('stuck'); } }; // run our function on load sticky_navigation(); // and run it again every time you scroll $(window).scroll(function() { sticky_navigation(); }); }); window.lightningjs||function(c){function g(b,d){d&&(d+=(/\?/.test(d)?"\x26":"?")+"lv\x3d1");c[b]||function(){var k=window,h=document,l=b,g=h.location.protocol,n="load",m=0;(function(){function b(){a.P(n);a.w=1;c[l]("_load")}c[l]=function(){function p(){p.id=e;return c[l].apply(p,arguments)}var e=++m;var b=this&&this!=k?this.id||0:0;(a.s=a.s||[]).push([e,b,arguments]);p.then=function(b,c,h){var d=a.fh[e]=a.fh[e]||[],l=a.eh[e]=a.eh[e]||[],f=a.ph[e]=a.ph[e]||[];b&&d.push(b);c&&l.push(c);h&&f.push(h); return p};return p};var a=c[l]._={};a.fh={};a.eh={};a.ph={};a.l=d?d.replace(/^\/\//,("https:"==g?g:"http:")+"//"):d;a.p={0:+new Date};a.P=function(b){a.p[b]=new Date-a.p[0]};a.w&&b();k.addEventListener?k.addEventListener(n,b,!1):k.attachEvent("on"+n,b);var t=function(){function b(){return["\x3chead\x3e\x3c/head\x3e\x3c",e,' onload\x3d"var d\x3d',q,";d.getElementsByTagName('head')[0].",d,"(d.",g,"('script')).",k,"\x3d'",a.l,"'\"\x3e\x3c/",e,"\x3e"].join("")}var e="body",c=h[e];if(!c)return setTimeout(t, 100);a.P(1);var d="appendChild",g="createElement",k="src",m=h[g]("div"),n=m[d](h[g]("div")),f=h[g]("iframe"),q="document";m.style.display="none";c.insertBefore(m,c.firstChild).id=r+"-"+l;f.frameBorder="0";f.id=r+"-frame-"+l;/MSIE[ ]+6/.test(navigator.userAgent)&&(f[k]="javascript:false");f.allowTransparency="true";n[d](f);try{f.contentWindow[q].open()}catch(w){a.domain=h.domain;var u="javascript:var d\x3d"+q+".open();d.domain\x3d'"+h.domain+"';";f[k]=u+"void(0);"}try{var v=f.contentWindow[q];v.write(b()); v.close()}catch(w){f[k]=u+'d.write("'+b().replace(/"/g,String.fromCharCode(92)+'"')+'");d.close();'}a.P(2)};a.l&&setTimeout(t,0)})()}();c[b].lv="1";return c[b]}var r="lightningjs",m=window[r]=g(r);m.require=g;m.modules=c}({});window.usabilla_live=lightningjs.require("usabilla_live","//w.usabilla.com/39ba22add62c.js"); diff --git a/src/data/compiled_bios/2746.txt b/src/data/compiled_bios/2746.txt new file mode 100644 index 0000000000..847df19620 --- /dev/null +++ b/src/data/compiled_bios/2746.txt @@ -0,0 +1 @@ + Search the University Open submenu (Study with Liverpool) Study with Liverpool Open submenu (Our Research) Our Research Open submenu (About Us) About Us Sign in Staff Students A-Z Back to main menu Study with Liverpool Study with Liverpool Find a course Select type Any level Undergraduate Postgraduate Taught Courses Postgraduate Research Degrees Study in Liverpool All study opportunities Undergraduate Postgraduate taught Postgraduate research Foundation courses Access courses International students Continuing education Study globally Study in London Study in China Study online 96%+ of our graduates are in employment or further study six months after graduation. Back to main menu Our Research Our research Research Our research A-Z of research groups REF 2014 Postgraduate Research PhD degrees Liverpool Doctoral College Research and business collaboration Collaborate with us How you can work with us Research with real world impact Back to main menu About Us About us Our story About the University Key people Accounts and main documents Strategy 2026 Key information News Events Departments Library Alumni Sports Conferences Jobs Accommodation Our locations Maps Contact us Advancing knowledge to transform lives facebook twitter youtube instagram linkedin Skip navigation Study with Liverpool 96%+ of our graduates are in employment or further study six months after graduation. Study with Liverpool Find a course Select type Any level Undergraduate Postgraduate Taught Courses Postgraduate Research Degrees Study in Liverpool All study opportunities Undergraduate Postgraduate taught Postgraduate research Foundation courses Access courses International students Continuing education Continuing professional development Study globally Study in London Study in China Study online Our research Research with real world impact Our research Research Our research A-Z of research groups REF 2014 Postgraduate Research PhD degrees Liverpool Doctoral College Research and business collaboration Collaborate with us How you can work with us About us Advancing knowledge to transform lives About us Our story About the University Key people Accounts and main documents Strategy 2026 Key information News Events Departments Library Alumni Sports Conferences Jobs Accommodation Our locations Maps Contact us Search the University Sign in: Staff / Students A-Z Sign in Sign in: Staff / Students Our story / Teaching & learning / Research / The city of Liverpool / International university / Our organisation Department of Computer Science Department of Computer Science menu About Undergraduate Postgraduate Research Continuing Professional Development People Alumni News Industry Partners Contacts and Finding Us Department of Computer Science About Undergraduate Postgraduate Research Continuing Professional Development People Alumni News Industry Partners Contacts and Finding Us Part of the School of Electrical Engineering, Electronics & Computer Science Department Intranets: Current Students' Intranet University home > Department of Computer Science > Staff > Martin Mansfield details, summary {display: block;} details.details_shim_closed > * {display: none;} details.details_shim_closed > summary {display: block;} details.details_shim_open > summary {display: block;} details.details_shim_closed > summary:before {display: inline-block; content: "\25b6"; padding: 0 0.1em; margin-right: 0.4em; font-size: 0.9em;} details.details_shim_open > summary:before {display: inline-block; content: "\25bc"; padding: 0; margin-right: 0.35em;} /** * details-shim.js * A pure JavaScript (no dependencies) solution to make HTML5 * Details/Summary tags work in unsupportive browsers * * Copyright (c) 2013 Tyler Uebele * Released under the MIT license. See included LICENSE.txt * or http://opensource.org/licenses/MIT * * latest version available at https://github.com/tyleruebele/details-shim */ /** * Enable proper operation of
tags in unsupportive browsers * * @param Details details element to shim * @returns {boolean} false on error */ function details_shim(Details) { // For backward compatibility, if no DOM Element is sent, call init() if (!Details || !('nodeType' in Details) || !('tagName' in Details)) { return details_shim.init(); } var Summary; // If we were passed a details tag, find its summary tag if ('details' == Details.tagName.toLowerCase()) { // Assume first found summary tag is the corresponding summary tag Summary = Details.getElementsByTagName('summary')[0]; // If we were passed a summary tag, find its details tag } else if (!!Details.parentNode && 'summary' == Details.tagName.toLowerCase() ) { Summary = Details; Details = Summary.parentNode; } else { // An invalid parameter was passed for Details return false; } // If the details tag is natively supported or already shimmed if ('boolean' == typeof Details.open) { // If native, remove custom classes if (!Details.getAttribute('data-open')) { Details.className = Details.className .replace(/\bdetails_shim_open\b|\bdetails_shim_closed\b/g, ' '); } return false; } // Set initial class according to `open` attribute var state = Details.outerHTML // OR older firefox doesn't have .outerHTML || new XMLSerializer().serializeToString(Details); state = state.substring(0, state.indexOf('>')); // Read: There is an open attribute, and it's not explicitly empty state = (-1 != state.indexOf('open') && -1 == state.indexOf('open=""')) ? 'open' : 'closed' ; Details.setAttribute('data-open', state); Details.className += ' details_shim_' + state; // Add onclick handler to toggle visibility class Summary.addEventListener ? Summary.addEventListener('click', function() { details_shim.toggle(Details); }) : Summary.attachEvent && Summary.attachEvent('onclick', function() { details_shim.toggle(Details); }) ; Object.defineProperty(Details, 'open', { get: function() { return 'open' == this.getAttribute('data-open'); }, set: function(state) { details_shim.toggle(this, state); } }); // wrap text nodes in span to expose them to css for (var j = 0; j < Details.childNodes.length; j++) { if (Details.childNodes[j].nodeType == 3 && /[^\s]/.test(Details.childNodes[j].data) ) { var span = document.createElement('span'); var text = Details.childNodes[j]; Details.insertBefore(span, text); Details.removeChild(text); span.appendChild(text); } } } // details_shim() /** * Toggle the open state of specified
tag * @param Details The
tag to toggle * @param state Optional override state */ details_shim.toggle = function(Details, state) { // If state was not passed, seek current state if ('undefined' === typeof state) { // new state state = Details.getAttribute('data-open') == 'open' ? 'closed' : 'open' ; } else { // Sanitize the input, expect boolean, force string // Expecting boolean means even 'closed' will result in an open // This is the behavior of the natively supportive browsers state = !!state ? 'open' : 'closed'; } Details.setAttribute('data-open', state); // replace previous open/close class Details.className = Details.className .replace(/\bdetails_shim_open\b|\bdetails_shim_closed\b/g, ' ') + ' details_shim_' + state; }; /** * Run details_shim() on each details tag */ details_shim.init = function() { // Because
must include a , // collecting tags collects *valid*
tags var Summaries = document.getElementsByTagName('summary'); for (var i = 0; i < Summaries.length; i++) { details_shim(Summaries[i]); } }; // Run details_shim.init() when the page loads window.addEventListener ? window.addEventListener('load', details_shim.init, false) : window.attachEvent && window.attachEvent('onload', details_shim.init) ; Mr Martin Mansfield Computer Science Work email Martin.Mansfield@liverpool.ac.uk Work email Martin.Mansfield@liverpool.ac.uk Untitled Document Department of Computer Science About Undergraduate Postgraduate Research Continuing Professional Development People Alumni News Industry Partners Contacts and Finding Us jQuery(function(t){t.tosrus.defaults.media.image={filterAnchors:function(t){return t.attr("href").indexOf("lorempixel.com")>-1}},t("#global-list a").tosrus({buttons:!0})}); .hidden { display: none; } / Welcome: / / Espaol A Connected University: Liverpool / Suzhou, China / London / Singapore / Online Read more about our connected university Liverpool Our Liverpool city centre campus forms the central point of our offering in world-class teaching, leading research and innovative industrial opportunities. Explore: Study / Research / About 1,300+ leading researchers 22,000+ students 600m campus investment programme Read more about our connected university Suzhou, China Our joint University venture, Xi'an Jiaotong-Liverpool University (XJTLU) . Our unique University partnership in Suzhou is home to state-of-the-art teaching, cutting edge research and our ground-breaking Year in China programme . Explore: Study / Research / About 7,400+ students 14 departments 4 teaching centres Read more about our connected university London Our campus in the heart of Londons financial district offers innovative, professionally-focused postgraduate teaching and business collaboration opportunities. Explore: Study / About We deliver an exceptional postgraduate learning experience in the heart of the City of London. Read more about our connected university Singapore In partnership with Singapore Institute of Technology . Our collaboration in Singapore integrates study with research and is specifically contextualised for South East Asia. Explore: Welcome / Undergraduate programmes Read more about our connected university Online degrees In partnership with Laureate Online Education . As pioneers of online education, we are UK's leading provider of fully online postgraduate education. Explore: Study / About 8,000+ online students 160 active countries 30+ degree programmes University of Liverpool, Liverpool L69 3BX, United Kingdom +44 (0)151 794 2000 Switchboard: +44 (0)151 794 2000 Student enquiries: +44 (0) 151 794 5927 University of Liverpool a member of the Russell Group / Terms and Conditions / Map / Contact us facebook Twitter youtube instagram linkedin var serviceUrl = "//api.reciteme.com/asset/js?key="; var serviceKey = "fb7f15d5eb0f967326011bc7b867c40546b47ae5"; var options = {}; // Options can be added as needed var autoLoad = false; var enableFragment = "#reciteEnable"; var loaded=[],frag=!1;window.location.hash===enableFragment&&(frag=!0);function loadScript(c,b){var a=document.createElement("script");a.type="text/javascript";a.readyState?a.onreadystatechange=function(){if("loaded"==a.readyState||"complete"==a.readyState)a.onreadystatechange=null,void 0!=b&&b()}:void 0!=b&&(a.onload=function(){b()});a.src=c;document.getElementsByTagName("head")[0].appendChild(a)}function _rc(c){c+="=";for(var b=document.cookie.split(";"),a=0;a sticky_navigation_offset_top) { $('#universal-header, #main-content').addClass('stuck'); } else { $('#universal-header, #main-content').removeClass('stuck'); } }; // run our function on load sticky_navigation(); // and run it again every time you scroll $(window).scroll(function() { sticky_navigation(); }); }); window.lightningjs||function(c){function g(b,d){d&&(d+=(/\?/.test(d)?"\x26":"?")+"lv\x3d1");c[b]||function(){var k=window,h=document,l=b,g=h.location.protocol,n="load",m=0;(function(){function b(){a.P(n);a.w=1;c[l]("_load")}c[l]=function(){function p(){p.id=e;return c[l].apply(p,arguments)}var e=++m;var b=this&&this!=k?this.id||0:0;(a.s=a.s||[]).push([e,b,arguments]);p.then=function(b,c,h){var d=a.fh[e]=a.fh[e]||[],l=a.eh[e]=a.eh[e]||[],f=a.ph[e]=a.ph[e]||[];b&&d.push(b);c&&l.push(c);h&&f.push(h); return p};return p};var a=c[l]._={};a.fh={};a.eh={};a.ph={};a.l=d?d.replace(/^\/\//,("https:"==g?g:"http:")+"//"):d;a.p={0:+new Date};a.P=function(b){a.p[b]=new Date-a.p[0]};a.w&&b();k.addEventListener?k.addEventListener(n,b,!1):k.attachEvent("on"+n,b);var t=function(){function b(){return["\x3chead\x3e\x3c/head\x3e\x3c",e,' onload\x3d"var d\x3d',q,";d.getElementsByTagName('head')[0].",d,"(d.",g,"('script')).",k,"\x3d'",a.l,"'\"\x3e\x3c/",e,"\x3e"].join("")}var e="body",c=h[e];if(!c)return setTimeout(t, 100);a.P(1);var d="appendChild",g="createElement",k="src",m=h[g]("div"),n=m[d](h[g]("div")),f=h[g]("iframe"),q="document";m.style.display="none";c.insertBefore(m,c.firstChild).id=r+"-"+l;f.frameBorder="0";f.id=r+"-frame-"+l;/MSIE[ ]+6/.test(navigator.userAgent)&&(f[k]="javascript:false");f.allowTransparency="true";n[d](f);try{f.contentWindow[q].open()}catch(w){a.domain=h.domain;var u="javascript:var d\x3d"+q+".open();d.domain\x3d'"+h.domain+"';";f[k]=u+"void(0);"}try{var v=f.contentWindow[q];v.write(b()); v.close()}catch(w){f[k]=u+'d.write("'+b().replace(/"/g,String.fromCharCode(92)+'"')+'");d.close();'}a.P(2)};a.l&&setTimeout(t,0)})()}();c[b].lv="1";return c[b]}var r="lightningjs",m=window[r]=g(r);m.require=g;m.modules=c}({});window.usabilla_live=lightningjs.require("usabilla_live","//w.usabilla.com/39ba22add62c.js"); diff --git a/src/data/compiled_bios/2747.txt b/src/data/compiled_bios/2747.txt new file mode 100644 index 0000000000..3e859dcb04 --- /dev/null +++ b/src/data/compiled_bios/2747.txt @@ -0,0 +1 @@ + About Me Dr. Fabio Papacchini Research Associate at the University of Liverpool Department of Computer Science , Knowledge Representation Group Currently working on the EPSRC iTract project Room 1.09, Ashton Building, Ashton Street, Liverpool, L69 3BX, UK E-mail: Fabio.Papacchini@liverpool.ac.uk I am a Research Associate at the University of Liverpool since September 2015. My research interests include Knowledge Representation, OBDA, Query Answering, Rewriting, Automated Reasoning, Tableaux Methods, Modal Logics, Description Logics and Model Generation. Before coming to Liverpool I have been an EPSRC Doctoral Prize fellow at The University of Manchester, the same university where I obtained my PhD in January 2015 under the supervision of Dr.-Ing. Renate A. Schmidt. Before that, I obtained my BSc and MSc in Computer Science Engineering at the "Universit degli Studi Roma Tre" under the supervision of Prof. Marta Cialdea Mayer . Publications 2018 Dichotomies in Ontology-Mediated Querying with the Guarded Fragment. Together with A. Hernich, C. Lutz and F. Wolter. journal version of PODS17 submitted. Paper Horn-Rewritability vs PTime Query Evaluation in Ontology-Mediated Querying. Together with A. Hernich, C. Lutz and F. Wolter. Proceedings of the 27th International Joint Conference on Artificial Intelligence, (IJCAI 2018) 1861-1867, ijcai.org. Full paper doi Extending the KSP Prover to More Expressive Modal Logics. Together with C. Nalon, U. Hustadt and C. Dixon. Proceedings of the 25th Automated Reasoning Workshop (ARW 2018) 21-22. Prodeedings 2017 Dichotomies in Ontology-Mediated Querying with the Guarded Fragment. (Best Paper Award) Together with A. Hernich, C. Lutz and F. Wolter. Proceedings of the 36th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems (PODS 2017) 185-199, ACM. Full paper doi Horn Rewritability vs PTime Query Evaluation for Description Logic TBoxes. Together with A. Hernich, C. Lutz and F. Wolter. Proceedings of the 30th International Workshop on Description Logics (DL 2017) CEUR Workshop Proceedings, 1879, CEUR-WS.org . Full paper CEUR-WS link 2016 Rewriting ALC-TBoxes of Depth One via Resolution. Proceedings of the 23th Automated Reasoning Workshop (ARW 2016) Paper 2015 On the Feasibility of Ontology Debugging via Model Generation. Together with R. A. Schmidt. Proceedings of the DEDUKTIONSTREFFEN 2015 Slides Debugging of ALC-Ontologies via Minimal Model Generation. Together with R. A. Schmidt. Proceedings of the 22th Automated Reasoning Workshop (ARW 2015) Link Slides Poster Minimal Model Reasoning for Modal Logic. PhD Thesis. supervised by Renate A. Schmidt, Link 2014 Terminating Minimal Model Generation Procedures for Propositional Modal Logics. Together with Renate A. Schmidt. In S. Demri, D. Kapur, C. Weidenbach (eds), Automated Reasoning (IJCAR 2014). Lecture Notes in Artificial Intelligence, Vol. 8562, Springer, 381-395. Link Slides Models Minimal Modulo Subset-Simulation for Expressive Propositional Modal Logics. Together with R. A. Schmidt. Proceedings of the Joint Automated Reasoning Workshop and Deduktionstreffen (ARW-DT 2014). Link Slides 2013 Computing Minimal Models Modulo Subset-Simulation for Propositional Modal Logics. Together with R. A. Schmidt. In Fontaine, P. and Ringeissen, C. and Schmidt, R. A. (eds), Proceedings of the 9th International Symposium on Frontiers of Combining Systems (FroCoS 2013) , Lecture Notes in Artificial Intelligence, Vol. 8152, Springer, 279-294. Link Slides Minimal Models Modulo Subset-Simulation for Modal Logics. Together with R. A. Schmidt. Proceedings of the 20th Automated Reasoning Workshop (ARW 2013) Link Slides Poster 2012 Proceedings of the 19th Automated Reasoning Workshop. Together with R. A. Schmidt (eds). Escholar uk-ac-man-scw:161817 , The University of Manchester, UK. Link Subset-Simulation as Model Minimality Criterion. Together with R. A. Schmidt. Short paper for Advances in Modal Logic 2012 (AiML 2012) Link Slides Minimal Models for Modal Logics. Together with R. A. Schmidt. Proceedings of the 19th Automated Reasoning Workshop (ARW 2012) Link Slides Poster 2011 A Tableau Calculus for Minimal Modal Model Generation. Together with R. A. Schmidt. Electronic Notes in Theoretical Computer Science 278 (3), 159-172. Link Long version Slides A Modal Tableau Approach for Minimal Model Generation. Together with R. A. Schmidt. Proceedings of the 18th Automated Reasoning Workshop (ARW 2011) Link Slides Poster Academic Responsibilities 2017/2018 I have contributed to the preparation of the course Introduction to Artificial Intelligence at the University of Liverpool. My contributions include: designing of tutorials, slides, class tests and exam questions. I have also been a demonstrator for the course. 2016/2017 I have designed and ran a Protg tutorial for the course Ontology Languages at the University of Liverpool. I have been a demonstrator for the course Logic in Computer Science at the University of Liverpool. I have given a guest lecture for the course Research Methods in Computer Science at the University of Liverpool. 2014/2015 I was a teaching assistant for the course Automated Reasoning and Verification during the academic year 2014/2015 at The University of Manchester. 2010 - 2013 I was supervising and teaching in labs (example classes), marking assessed coursework for the course of Algorithms and Imperative Programming from 2010 to 2013 at The University of Manchester. Public Engagement I, together with Francis Southern, organised and ran a workshop on Logic and Computing as part of the Discovery Computer Science event at The University of Manchester on 3 December 2014. Slides I revisited, organised and ran a workshop on Logic and Computing as part of the Discovery Computer Science event at The University of Manchester on 15 July 2015. Slides I revisited, organised and ran a workshop on Logic and Computing as part of the Discovery Computer Science event at The University of Manchester on 8 March 2016. Slides , Handout , Truth tables diff --git a/src/data/compiled_bios/2748.txt b/src/data/compiled_bios/2748.txt new file mode 100644 index 0000000000..4876b96bb3 --- /dev/null +++ b/src/data/compiled_bios/2748.txt @@ -0,0 +1 @@ + Search the University Open submenu (Study with Liverpool) Study with Liverpool Open submenu (Our Research) Our Research Open submenu (About Us) About Us Sign in Staff Students A-Z Back to main menu Study with Liverpool Study with Liverpool Find a course Select type Any level Undergraduate Postgraduate Taught Courses Postgraduate Research Degrees Study in Liverpool All study opportunities Undergraduate Postgraduate taught Postgraduate research Foundation courses Access courses International students Continuing education Study globally Study in London Study in China Study online 96%+ of our graduates are in employment or further study six months after graduation. 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See included LICENSE.txt * or http://opensource.org/licenses/MIT * * latest version available at https://github.com/tyleruebele/details-shim */ /** * Enable proper operation of
tags in unsupportive browsers * * @param Details details element to shim * @returns {boolean} false on error */ function details_shim(Details) { // For backward compatibility, if no DOM Element is sent, call init() if (!Details || !('nodeType' in Details) || !('tagName' in Details)) { return details_shim.init(); } var Summary; // If we were passed a details tag, find its summary tag if ('details' == Details.tagName.toLowerCase()) { // Assume first found summary tag is the corresponding summary tag Summary = Details.getElementsByTagName('summary')[0]; // If we were passed a summary tag, find its details tag } else if (!!Details.parentNode && 'summary' == Details.tagName.toLowerCase() ) { Summary = Details; Details = Summary.parentNode; } else { // An invalid parameter was passed for Details return false; } // If the details tag is natively supported or already shimmed if ('boolean' == typeof Details.open) { // If native, remove custom classes if (!Details.getAttribute('data-open')) { Details.className = Details.className .replace(/\bdetails_shim_open\b|\bdetails_shim_closed\b/g, ' '); } return false; } // Set initial class according to `open` attribute var state = Details.outerHTML // OR older firefox doesn't have .outerHTML || new XMLSerializer().serializeToString(Details); state = state.substring(0, state.indexOf('>')); // Read: There is an open attribute, and it's not explicitly empty state = (-1 != state.indexOf('open') && -1 == state.indexOf('open=""')) ? 'open' : 'closed' ; Details.setAttribute('data-open', state); Details.className += ' details_shim_' + state; // Add onclick handler to toggle visibility class Summary.addEventListener ? Summary.addEventListener('click', function() { details_shim.toggle(Details); }) : Summary.attachEvent && Summary.attachEvent('onclick', function() { details_shim.toggle(Details); }) ; Object.defineProperty(Details, 'open', { get: function() { return 'open' == this.getAttribute('data-open'); }, set: function(state) { details_shim.toggle(this, state); } }); // wrap text nodes in span to expose them to css for (var j = 0; j < Details.childNodes.length; j++) { if (Details.childNodes[j].nodeType == 3 && /[^\s]/.test(Details.childNodes[j].data) ) { var span = document.createElement('span'); var text = Details.childNodes[j]; Details.insertBefore(span, text); Details.removeChild(text); span.appendChild(text); } } } // details_shim() /** * Toggle the open state of specified
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tags var Summaries = document.getElementsByTagName('summary'); for (var i = 0; i < Summaries.length; i++) { details_shim(Summaries[i]); } }; // Run details_shim.init() when the page loads window.addEventListener ? window.addEventListener('load', details_shim.init, false) : window.attachEvent && window.attachEvent('onload', details_shim.init) ; Dr Vincent Page Computer Science Work email V.Page@liverpool.ac.uk Publications Teaching and learning Work email V.Page@liverpool.ac.uk Untitled Document Department of Computer Science About Undergraduate Postgraduate Research Continuing Professional Development People Alumni News Industry Partners Contacts and Finding Us jQuery(function(t){t.tosrus.defaults.media.image={filterAnchors:function(t){return t.attr("href").indexOf("lorempixel.com")>-1}},t("#global-list a").tosrus({buttons:!0})}); .hidden { display: none; } / Welcome: / / Espaol A Connected University: Liverpool / Suzhou, China / London / Singapore / Online Read more about our connected university Liverpool Our Liverpool city centre campus forms the central point of our offering in world-class teaching, leading research and innovative industrial opportunities. Explore: Study / Research / About 1,300+ leading researchers 22,000+ students 600m campus investment programme Read more about our connected university Suzhou, China Our joint University venture, Xi'an Jiaotong-Liverpool University (XJTLU) . Our unique University partnership in Suzhou is home to state-of-the-art teaching, cutting edge research and our ground-breaking Year in China programme . Explore: Study / Research / About 7,400+ students 14 departments 4 teaching centres Read more about our connected university London Our campus in the heart of Londons financial district offers innovative, professionally-focused postgraduate teaching and business collaboration opportunities. Explore: Study / About We deliver an exceptional postgraduate learning experience in the heart of the City of London. Read more about our connected university Singapore In partnership with Singapore Institute of Technology . Our collaboration in Singapore integrates study with research and is specifically contextualised for South East Asia. Explore: Welcome / Undergraduate programmes Read more about our connected university Online degrees In partnership with Laureate Online Education . As pioneers of online education, we are UK's leading provider of fully online postgraduate education. Explore: Study / About 8,000+ online students 160 active countries 30+ degree programmes University of Liverpool, Liverpool L69 3BX, United Kingdom +44 (0)151 794 2000 Switchboard: +44 (0)151 794 2000 Student enquiries: +44 (0) 151 794 5927 University of Liverpool a member of the Russell Group / Terms and Conditions / Map / Contact us facebook Twitter youtube instagram linkedin var serviceUrl = "//api.reciteme.com/asset/js?key="; var serviceKey = "fb7f15d5eb0f967326011bc7b867c40546b47ae5"; var options = {}; // Options can be added as needed var autoLoad = false; var enableFragment = "#reciteEnable"; var loaded=[],frag=!1;window.location.hash===enableFragment&&(frag=!0);function loadScript(c,b){var a=document.createElement("script");a.type="text/javascript";a.readyState?a.onreadystatechange=function(){if("loaded"==a.readyState||"complete"==a.readyState)a.onreadystatechange=null,void 0!=b&&b()}:void 0!=b&&(a.onload=function(){b()});a.src=c;document.getElementsByTagName("head")[0].appendChild(a)}function _rc(c){c+="=";for(var b=document.cookie.split(";"),a=0;a sticky_navigation_offset_top) { $('#universal-header, #main-content').addClass('stuck'); } else { $('#universal-header, #main-content').removeClass('stuck'); } }; // run our function on load sticky_navigation(); // and run it again every time you scroll $(window).scroll(function() { sticky_navigation(); }); }); window.lightningjs||function(c){function g(b,d){d&&(d+=(/\?/.test(d)?"\x26":"?")+"lv\x3d1");c[b]||function(){var k=window,h=document,l=b,g=h.location.protocol,n="load",m=0;(function(){function b(){a.P(n);a.w=1;c[l]("_load")}c[l]=function(){function p(){p.id=e;return c[l].apply(p,arguments)}var e=++m;var b=this&&this!=k?this.id||0:0;(a.s=a.s||[]).push([e,b,arguments]);p.then=function(b,c,h){var d=a.fh[e]=a.fh[e]||[],l=a.eh[e]=a.eh[e]||[],f=a.ph[e]=a.ph[e]||[];b&&d.push(b);c&&l.push(c);h&&f.push(h); return p};return p};var a=c[l]._={};a.fh={};a.eh={};a.ph={};a.l=d?d.replace(/^\/\//,("https:"==g?g:"http:")+"//"):d;a.p={0:+new Date};a.P=function(b){a.p[b]=new Date-a.p[0]};a.w&&b();k.addEventListener?k.addEventListener(n,b,!1):k.attachEvent("on"+n,b);var t=function(){function b(){return["\x3chead\x3e\x3c/head\x3e\x3c",e,' onload\x3d"var d\x3d',q,";d.getElementsByTagName('head')[0].",d,"(d.",g,"('script')).",k,"\x3d'",a.l,"'\"\x3e\x3c/",e,"\x3e"].join("")}var e="body",c=h[e];if(!c)return setTimeout(t, 100);a.P(1);var d="appendChild",g="createElement",k="src",m=h[g]("div"),n=m[d](h[g]("div")),f=h[g]("iframe"),q="document";m.style.display="none";c.insertBefore(m,c.firstChild).id=r+"-"+l;f.frameBorder="0";f.id=r+"-frame-"+l;/MSIE[ ]+6/.test(navigator.userAgent)&&(f[k]="javascript:false");f.allowTransparency="true";n[d](f);try{f.contentWindow[q].open()}catch(w){a.domain=h.domain;var u="javascript:var d\x3d"+q+".open();d.domain\x3d'"+h.domain+"';";f[k]=u+"void(0);"}try{var v=f.contentWindow[q];v.write(b()); v.close()}catch(w){f[k]=u+'d.write("'+b().replace(/"/g,String.fromCharCode(92)+'"')+'");d.close();'}a.P(2)};a.l&&setTimeout(t,0)})()}();c[b].lv="1";return c[b]}var r="lightningjs",m=window[r]=g(r);m.require=g;m.modules=c}({});window.usabilla_live=lightningjs.require("usabilla_live","//w.usabilla.com/39ba22add62c.js"); diff --git a/src/data/compiled_bios/2749.txt b/src/data/compiled_bios/2749.txt new file mode 100644 index 0000000000..3a8e15e77b --- /dev/null +++ b/src/data/compiled_bios/2749.txt @@ -0,0 +1 @@ + Matt Webster > Home Home Publications Contact Matt Webster Computer Scientist and Postdoctoral Researcher. Department of Computer Science, University of Liverpool About I am a postdoctoral Research Associate in the Department of Computer Science at the University of Liverpool . I am currently working on the Science of Sensor Systems Software (S4) programme grant, and the Offshore Robotics for Certification of Assets (ORCA) Hub , both of which are funded by EPSRC. I am a member of the following groups, labs and centres: Robotics and Autonomous Systems group ( Artificial Intelligence section). Verification group ( Artificial Intelligence section). Centre for Autonomous Systems Technology . Autonomy and Verification Laboratory . Virtual Engineering Centre , STFC Daresbury Laboratory. Research My research interests include: Wireless sensor networks (WSN) and the Internet of Things (IoT). Robotics: trustworthy robotics, autonomy, verification, simulation, ROS. Autonomous systems, artificial intelligence, multi-agent systems. Formal methods, including model checking, formal semantics of programming languages. Unmanned vehicles: autonomy, certification, networked simulation. Model checking agent programming languages. Computer security and computer virology. Formal modelling of biocomputational systems and artificial life. My previous projects include Trustworthy Robotic Assistants , the Virtual Engineering Centre , and Model Checking Agent Programming Languages . Before those I did a Ph.D. on formal modelling and verification, computer viruses and artificial life ( thesis available in PDF ). A list of my papers and publications can be found here . Contact Dr. Matt Webster Department of Computer Science University of Liverpool Liverpool, L69 3BX United Kingdom Email: matt@liverpool.ac.uk Matt Webster, 20108 Design: TEMPLATED Images: Unsplash Home Publications Contact diff --git a/src/data/compiled_bios/275.txt b/src/data/compiled_bios/275.txt new file mode 100644 index 0000000000..7557ae744b --- /dev/null +++ b/src/data/compiled_bios/275.txt @@ -0,0 +1 @@ + My academic interests include privacy-preserving technologies, e-voting security, eavesdropping and wiretap systems, operating system security, network and protocol security, and network intrusion detection. Basically, I like breaking stuff and occasionally fixing things. I am the director of the Georgetown Institute for Information Assurance and co-direct the CS SecurityLab. A more formal biography is also available. diff --git a/src/data/compiled_bios/2750.txt b/src/data/compiled_bios/2750.txt new file mode 100644 index 0000000000..a95cc532d0 --- /dev/null +++ b/src/data/compiled_bios/2750.txt @@ -0,0 +1 @@ + Andrew W. Appel Eugene Higgins Professor of Computer Science Department of Computer Science Princeton University Bio & Contact Publications Vita My students Research Interests: program verification, computer security, programming language semantics, machine-checked proofs, compilers, and election technology. National Science Foundation Expedition in Computing 2016-2021 VST project page CertiCoq project page Cryptography Voting machines Recent articles on voting: Are voting-machine modems truly divorced from the Internet? Securing the Vote National Academies report Serious design flaw in ESS ExpressVote touchscreen: permission to cheat Design flaw in Dominion ImageCast Evolution voting machine Continuous-roll VVPAT under glass: an idea whose time has passed An unverifiability principle for voting machines Ten ways to make voting machines cheat with plausible deniability Cheating with paper ballots End-to-End Verifiable Elections When the optical scanners jam up, what then? Two cheers for limited democracy in New Jersey Florida is the Florida of ballot-design mistakes Expert opinions on in-person voting machines and vote-by-mail Why voters should mark ballots by hand Pilots of risk-limiting election audits in California and Virginia Technology Policy My blog at Other technology policy work I've done Previous research projects Standard ML of New Jersey , a compiler for the type-safe functional programming language ML. Foundational Proof-Carrying Code for security of untrusted code. Enterprise Network Security Analysis . diff --git a/src/data/compiled_bios/2751.txt b/src/data/compiled_bios/2751.txt new file mode 100644 index 0000000000..d0bff9668a --- /dev/null +++ b/src/data/compiled_bios/2751.txt @@ -0,0 +1 @@ + Sanjeev Arora Charles C. Fitzmorris Professor of Computer Science Princeton University CV/Bio/Professional Publications Teaching Personal Links, photos Group Website I am a member of the groups in Theoretical Computer Science and Theoretical Machine Learning . In the past I have worked on: Computational Complexity (see my book on this topic ), Probabilistically Checkable Proofs (PCPs) , computing approximate solutions to NP-hard problems, and related issues. For several years now I am most interested in developing new theory for Machine Learning (including deep learning). See my group website and also the blog offconvex.org that I contribute to. News: In 2017-2020 I am 50/50 at Princeton University and the Institute for Advanced Study where I am leading a new program in Theoretical Machine Learning. (Postdoc applications are welcome at both institutions; apply by Dec 1 2017). Dec 1 2019 Deadline: Special year-long machine learning program at IAS. July 2018: Link to ICML tutorial: "Toward Theoretical Understanding of Deep Learning." August 2018: Slides of plenary lecture at International Congress of Mathematicians 2018: "The mathematics of machine learning and deep learning." More links here. Contact info: Computer Science Dept, 35 Olden St, Princeton NJ 08540 609-258-3869 (but don't l eave a msg; send email instead) 609-258-4562 (Ms Mitra Kelly; Admin. Assistant) 609-258-1771 (Fax) Email address for recommendation letters only: Twitter (but pls don't send me msgs there): While on sabbatical in Spring 2013 I started a travelogue that I still maintain. 2012 Sanjeev Arora Template design by Andreas Viklund diff --git a/src/data/compiled_bios/2752.txt b/src/data/compiled_bios/2752.txt new file mode 100644 index 0000000000..12f69dbd69 --- /dev/null +++ b/src/data/compiled_bios/2752.txt @@ -0,0 +1 @@ + David I. August Professor in the Department of Computer Science , Princeton University Affiliated with the Department of Electrical Engineering , Princeton University Ph.D. May 2000, Department of Electrical and Computer Engineering , University of Illinois at Urbana-Champaign Office: Computer Science Building Room 221 Email: august@princeton.edu PGP: Public Key PGP Fingerprint: DD96 3B12 7DA1 EF4E 46EE A23A D2AB 4FCE B365 2C9A Fax: (609) 964-1699 Administrative Assistant: Pamela DelOrefice, (609) 258-5551 Front Page Publication List (with stats) Curriculum Vitae (PDF) The Liberty Research Group Research My primary research interests are in compilers and computer architecture, especially as they relate to security and parallelism. I lead the Liberty Research Group . STUDENTS: Unless you have already been admitted to Princeton, read this before contacting me about joining my group. Selected Publications (See Publication List or Curriculum Vitae (PDF) for full list.) Parcae: A System for Flexible Parallel Execution (PLDI 2012, related work at PLDI 2011 ) Speculative Separation for Privatization and Reductions (PLDI 2012) A Survey of the Practice of Computational Science (SC 2011) Automatic CPU-GPU Communication Management and Optimization (PLDI 2011, related work at CGO 2012 ) Commutative Set: A Language Extension for Implicit Parallel Programming (PLDI 2011) Scalable Speculative Parallelization on Commodity Clusters (MICRO 2010, related work at CGO 2012 ) DAFT: Decoupled Acyclic Fault Tolerance (PACT 2010, selected for IJPP 2012 ) Speculative Parallelization Using Software Multi-threaded Transactions (ASPLOS 2010) Revisiting the Sequential Programming Model for Multi-Core (IEEE Micros "Top Picks" 2008, original work at MICRO 2007 ) Automatic Instruction-Level Software-Only Recovery Methods (IEEE Micros "Top Picks" 2007, original work at DSN 2006 ) Selected Professional Activities (See Curriculum Vitae (PDF) for full list.) Program Chair: MICRO 2009 (with Jos Martnez ) Program Committees: ISCA 2007, PLDI 2008, MICRO 2010, ASPLOS 2011, Top-Picks 2012 Panel: "Are New Programming Languages Needed to Exploit Manycore Architectures?" at the Microsoft Faculty Summit , July 2007. Panel: "Programming Languages/Models and Compiler Technologies" at the Manycore Computing Workshop , June 2007. Program Chair: CGO 2007 (Record submission rate!) General Chair: CGO 2006 (Record attendance!) Associate Editor: ACM Transactions on Architecture and Code Optimization , IEEE Computer Architecture Letters Selected Recognition (See Curriculum Vitae (PDF) for full list.) Elevation to IEEE Fellow for "contributions to compilers and architectures for multicore and parallel processing systems". Selection of " SWIFT: Software Implemented Fault Tolerance ," for The Test of Time Award at The 2015 International Symposium on Code Generation and Optimization (CGO) . Selection of Revisiting the Sequential Programming Model for Multi-Core for IEEE Micros "Top Picks" special issue for papers "most relevant to industry and significant in contribution to the field of computer architecture" in 2007. Best Paper Award for Fault-tolerant Type Assembly Language at the 2007 ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI), June 2007. Selection of Automatic Instruction-Level Software-Only Recovery Methods for IEEE Micros "Top Picks" special issue for papers "most relevant to industry and significant in contribution to the field of computer architecture" in 2006. Current Graduate Students Stephen R. Beard [ Publications ] Jordan Fix [ Publications ] Nayana Prasad Nagendra [ Publications ] Hansen Zhang [ Publications ] Sotiris Apostolakis [ Publications ] Ziyang Xu [ Publications ] Bhargav Reddy Godala [ Publications ] Greg Chan [ Publications ] Alumni Feng Liu [ Publications ] Ph.D. Thesis: Static and Dynamic Instruction Mapping for Spatial Architectures , 2018. First Position: Databricks Soumyadeep Ghosh [ Publications ] Ph.D. Thesis: TrustGuard: A Containment Architecture with Verified Output , 2017. First Position: Barefoot Networks Nick P. Johnson [ Publications ] Ph.D. Thesis: Static Dependence Analysis in an Infrastructure for Automatic Parallelization , 2015. First Position: D.E. Shaw Research Taewook Oh [ Publications ] Ph.D. Thesis: Automatic Exploitation of Input Parallelism , 2015. First Position: Facebook Hanjun Kim [ Publications ] Ph.D. Thesis: ASAP: Automatic Speculative Acyclic Parallelization for Clusters , 2013. First Position: Assistant Professor at Postech Thomas B. Jablin [ Publications ] Ph.D. Thesis: Automatic Parallelization for GPUs , 2013. First Position: Post-Doctoral Researcher with the IMPACT Research Group Prakash Prabhu [ Publications ] Ph.D. Thesis: Semantic Language Extensions for Implicit Parallel Programming , 2013. First Position: Google Jialu Huang [ Publications ] Ph.D. Thesis: Automatically Exploiting Cross-Invocation Parallelism Using Runtime Information , 2013. First Position: Goldman Sachs Arun Raman [ Publications ] Ph.D. Thesis: A System for Flexible Parallel Execution , 2012. First Position: Intel Research Yun Zhang [ Publications ] Ph.D. Thesis: Runtime Speculative Software-Only Fault Tolerance , 2012. First Position: Goldman Sachs Easwaran Raman [ Publications ] Ph.D. Thesis: Parallelization Techniques with Improved Dependence Handling , 2009. First Position: Google Matthew J. Bridges [ Publications ] Ph.D. Thesis: The VELOCITY Compiler: Extracting Efficient Multicore Execution from Legacy Sequential Codes , 2008. First Position: Google Bolei Guo [ Publications ] Ph.D. Thesis: Shape Analysis with Inductive Recursion Synthesis , 2008. First Position: J. P. Morgan Guilherme de Lima Ottoni [ Publications ] Ph.D. Thesis: Global Instruction Scheduling for Multi-Threaded Architectures , 2008. First Position: Intel Research Neil Vachharajani [ Publications ] Ph.D. Thesis: Intelligent Speculation for Pipelined Multithreading , 2008. First Position: Google George A. Reis [ Publications ] Ph.D. Thesis: Software Modulated Fault Tolerance , 2008. First Position: Google Ram Rangan [ Publications ] Ph.D. Thesis: Pipelined Multithreading Transformations and Support Mechanisms , 2007. First Position: Post-Doctoral Researcher at IBM Austin Research Laboratory Spyridon Triantafyllis [ Publications ] Ph.D. Thesis: Eliminating Scope and Selection Restrictions in Compiler Optimizations , 2006. First Position: D. E. Shaw David Penry [ Publications ] Ph.D. Thesis: The Acceleration of Structural Microarchitecture Simulation via Scheduling , 2006. First Position: Assistant Professor at Brigham Young University Manish Vachharajani [ Publications ] Ph.D. Thesis: Microarchitecture Modeling for Design-space Exploration , 2004. First Position: Assistant Professor at University of Colorado, Boulder Teaching Introduction to Computer Science: COS-126 Compiling Techniques: COS-320 Computer Architecture: COS-375/ELE-375 Introduction to Programming Systems: COS-217 Graduate Seminars on Various Topics diff --git a/src/data/compiled_bios/2753.txt b/src/data/compiled_bios/2753.txt new file mode 100644 index 0000000000..194e23f5ca --- /dev/null +++ b/src/data/compiled_bios/2753.txt @@ -0,0 +1 @@ + HomePage About Brief Bio Affiliations Funding Research Current Research Recent Projects All Papers Book STOC'13 Workshop Natural Algorithms & Sciences Workshop Group Members & Alumni News Undergraduate Projects Joining the group Postdoc Opportunities Teaching Undergraduate Advising Info theory in CS 2013 Alg mech design 2014 Older teaching links Contact display | admin Site Mark Braverman I am a professor at the Department of Computer Science at Princeton University My office is 231 in 194 Nassau Street (see campus map here ). My brief bio can be found here . I am interested in complexity theory, the theory of real computation, machine learning, algorithms, game theory, and applications of computer science in healthcare and medicine. My e-mail address: #######@cs.princeton.edu, replacing "#######" with "mbraverm" Other contact information. Activities I co-organized a semester on the Nexus of Information and Computation Theories at the Institut Henri Poincar in Paris, January-April 2016. For more information see here . I co-hosted a tutorial on information and communication complexity at ISIT'15 in Hong Kong. Recent and current program committees (since 2012): ITCS'17 , FOCS'16 , STOC'14 , CCR'13 , ITCS'13 , RANDOM'12 , FOCS'12 , Papers All papers Teaching Fall 2015: COS 340 Reasoning about computation. Fall 2014: COS 597A AdTopCS: Algorithmic mechanism design Fall 2014: COS 340 Reasoning about computation. Spring 2014: COS 445 Networks, economics and computing. Fall 2013: COS 597F AdTopCS: Topics in Information Theory in Computer Science. Spring 2013: COS 340 Reasoning about computation. Fall 2012: COS 445 Networks, economics and computing. Spring 2012: COS 340 Reasoning about computation. Fall 2011: COS 597D AdTopCS: Information Theory in CS. Collaborators, present and past I have been very fortunate to work with many collaborators: Misha Alekhnovich ; Noga Alon ; Alex Andoni ; Itai Ashlagi ; Per Austrin ; Maria-Florina Balcan ; Boaz Barak ; Mohsen Bayati ; Ilia Binder ; Arnab Bhattacharyya ; Sylvain Bonnot ; Christian Borgs ; Allan Borodin ; Sylvain Chassang ; Jennifer Chayes ; Bernard Chazelle ; Jing Chen ; Xi Chen ; Eden Chlamtac ; Stephen Cook ; Klim Efremenko ; Faith Ellen ; Omid Etesami ; Vitaly Feldman ; Ankit Garg ; Ran Gelles ; Alexander Grigo ; Bernhard Haeupler ; Avinatan Hassidim ; Eric Horvitz ; Yael Tauman Kalai ; Adam Klivans ; Sampath Kannan ; Young Kun Ko ; Raghav Kulkarni ; Ron Lavi ; Brendan Lucier ; Tengyu Ma ; Konstantin Makarychev ; Yury Makarychev ; Jieming Mao ; Pierre McKenzie ; Ankur Moitra ; Dov Monderer ; Elchanan Mossel ; Assaf Naor ; Huy Nguyen ; Joel Oren ; Rotem Oshman ; Gal Oshri; Rafail Ostrovsky ; Denis Pankratov ; Kanika Pasricha; Toniann Pitassi ; Anup Rao ; Ran Raz ; Cristobal Rojas ; Sambuddha Roy ; Aviad Rubinshtein ; Rahul Santhanam ; Jon Schneider; Shang-Hua Teng ; Moshe Tennenholtz ; Dave Touchette; Vinod Vaikuntanathan ; Omri Weinstein ; Dustin Wehr ; David Woodruff ; Michael Yampolsky ; Amir Yehudayoff ; diff --git a/src/data/compiled_bios/2754.txt b/src/data/compiled_bios/2754.txt new file mode 100644 index 0000000000..196938d138 --- /dev/null +++ b/src/data/compiled_bios/2754.txt @@ -0,0 +1 @@ + Bernard Chazelle's Home Page Bernard Chazelle Eugene Higgins Professor of Computer Science Princeton University Unlike music, scientific work does not come with liner notes. Perhaps it should . I work in Algorithms, a field believed by many to hold the promise of a scientific revolution. If you are a believer, no need to click here . My current interests are in the area of natural algorithms . Publications Liner notes Inaugural Lecture at Collge de France Vita short , long Contact Want to read it? Click above My wife Celia is a professor of medieval history at TCNJ and the director of the Institute for Prison Teaching and Outreach. Our children Damien and Anna work in film. I love to write music but find little time for it. I used to blog at A Tiny Revolution about politics and music . If you've wondered why the world has become so just, prosperous, and peaceful, that's because I've explained: Why private prisons are immoral and why Obama was wrong on Iraq . Why Bach rules and the NSA wishes it did . Why torture should be illegal and why humor is no laughing matter . Why I went to the West Bank and why Israel is not ready for a two-state solution . Why the American left needs a new creed . See also here and here . Why the American Century ended in Iraq . Why the French riots were salutary and why the US media gets France all wrong . Why the children in Iraq make no sound when they fall . Why anti-Americanism is not what you think and why Bush was, well, you know what he was. diff --git a/src/data/compiled_bios/2755.txt b/src/data/compiled_bios/2755.txt new file mode 100644 index 0000000000..ad6826ebe5 --- /dev/null +++ b/src/data/compiled_bios/2755.txt @@ -0,0 +1 @@ + JIA DENG Assistant Professor Department of Computer Science Princeton University jiadeng@cs.princeton.edu Department of Computer Science 35 Olden St #423 Princeton, NJ 08540 Lab . CV . Publications . Bio . Google Scholar Profile I am an Assistant Professor of Computer Science at Princeton University. I direct the Princeton Vision & Learning Lab . Previously I was on the faculty of the University of Michigan from 2014 to 2018. My research focus is on computer vision and machine learning, in particular, achieving human-level visual understanding by integrating perception, cognition, and learning. Awards and Honors Alfred P. Sloan Research Fellowship, 2018 Google Faculty Research Award, 2017 Amazon Research Award, 2017 ZF TRW Automotive Endowed Research Award, 2017 PAMI Mark Everingham Prize, 2016 Google Faculty Research Award, 2015 Yahoo ACE (Academic Career Enhancement) Award, 2014 Best Paper Award, ECCV 2014 Marr Prize (Best Paper Award), ICCV 2013 Outstanding Graduate, Tsinghua University, 2006 IBM Scholarship for Outstanding Students in China, 2005 OOCL Scholarship, Tsinghua University, 2004 Lenovo Scholarship, Tsinghua University, 2003 diff --git a/src/data/compiled_bios/2756.txt b/src/data/compiled_bios/2756.txt new file mode 100644 index 0000000000..ff0d249604 --- /dev/null +++ b/src/data/compiled_bios/2756.txt @@ -0,0 +1 @@ + David Dobkin David Dobkin They went and made me Dean . This page represents my life in the computer science department which appears to be on hold. I am photo-blog'ing my life as dean . How to Reach Me Where I'm logged In My guiding philosophy What I do for research Copies of recent papers My Biography Pictures of me Pictures of my Family Pictures of some Friends What I do in my spare time Sign my guestbook: diff --git a/src/data/compiled_bios/2757.txt b/src/data/compiled_bios/2757.txt new file mode 100644 index 0000000000..a73a737717 --- /dev/null +++ b/src/data/compiled_bios/2757.txt @@ -0,0 +1 @@ + Robert M. Dondero, Ph.D. Home About Me Curriculum Vitae Teaching Research Interests Contact Welcome Hello! My name is Bob Dondero. Thank you for visiting my web site. My About Me page provides a brief overview of my background. My curriculum vitae provides more details. Quick Links COS 217 (Spring 2018) CS Department Princeton University Contact 2015. Meghan Dondero. Design: spyka webmaster | Free Web Templates Site Map | Site Credits | XHTML | CSS diff --git a/src/data/compiled_bios/2758.txt b/src/data/compiled_bios/2758.txt new file mode 100644 index 0000000000..f25356e62a --- /dev/null +++ b/src/data/compiled_bios/2758.txt @@ -0,0 +1 @@ + Zeev Dvir's Homepage Home Publications Contact H i! I'm an Associate Professor jointly appointed by the Computer Science and Mathematics departments at Princeton University. I have a broad interest in theoretical computer science and mathematics. I am especially interested in computational complexity, pseudo-randomness, coding theory and discrete geometry. Supported by NSF CAREER award, NSFgrant CCF-1523816 and the Alfred Rheinstein '11 award. Download my survey on Incidence theorems and their applications News: I am teaching a graduate seminar in Spring 2019 on the topic of incidence theorems and applications. Details here . All are welcome! diff --git a/src/data/compiled_bios/2759.txt b/src/data/compiled_bios/2759.txt new file mode 100644 index 0000000000..1b1b9918c2 --- /dev/null +++ b/src/data/compiled_bios/2759.txt @@ -0,0 +1 @@ + Barbara Engelhardt Computer Science Department Center for Statistics and Machine Learning Princeton University Menu: Home Research Courses Publications Software People Contact All information regarding the Engelhardt Research Group at Princeton can be found at the BEEHIVE . Barbara Engelhardt develops statistical models and methods to study human genetic variation and its impact on genomic regulation, including gene expression and splicing, with the goal of identifying mechanisms of human disorders and diseases. Some of these projects include: Sparse factor analysis for estimating population structure, low-dimensional mapping of complex phenotypes, and gene expression analysis Statistical models for improving power to detect trans-expression quantitative trait loci Alternative splicing and its role in complex phenotypes Differential gene co-expression networks Genome-wide association studies for pharmacogenomic, metabolic, and cardiovascular phenotypes Prof. Engelhardt is a PI in the Genotype-Tissue Expression (GTEx) consortium. Prospective graduate students: If you are interested in working in my group at Princeton for your PhD, you must be admitted to a graduate program at Princeton University. 2015 Barbara Engelhardt The picture was taken in the Big Island of Hawaii in 2007 Design by Andreas Viklund diff --git a/src/data/compiled_bios/276.txt b/src/data/compiled_bios/276.txt new file mode 100644 index 0000000000..78286bb0ce --- /dev/null +++ b/src/data/compiled_bios/276.txt @@ -0,0 +1 @@ + I am a Professor in the Department of Computer Science at Georgetown University. I am also a Research Professor in the Massive Data Institute (MDI). My specialization is what I like to call - data-centric computing. It means that I work on lots of aspects of data driven computer science - data mining, data privacy, data science, and data visualization to name a few. I like working with noisy, messy, partial data to determine what its limitations are, what I can say about it, and what I can learn from it in ethical, privacy-preserving ways. more > research projects: - Privacy and WebFootprinting - Animal Networks (collaboration w/ Shark Bay Dolphin Project) - Election Dynamics (collaboration w/ Gallup & University of Michigan) - Forced Migration (collaboration w/ ISIM) outreach: - GU Women Coders (guWeCode) - ACM Capital Region Celebration of Women in Computing (2017 - at GU) - CS4HS Workshop for High School teachers (2013) - Women in Computing Luncheon(2008) meetings & workshops: - NSF Big Data Research and Hubs and Spokes PI Meeting (2017) - NSF Big Data PI Workshop (BDPI-2016) - NITRD Big Data Strategic Initiative Workshop (BDSI-2015) - NSF Information Integration & Informatics (III-2010) select papers & reports: Publication List (generated from BibBase) NSF Big Data PI Meeting Final Report - 2017 Download Overlapping target event and storyline detection of online newspaper articles. (2016) IEEE International Conference on Data Science and Advanced Analytics. Received Best Paper Honorable Mention Award Download NSF Big Data PI Meeting Final Report - 2016 Download Public Information Exposure detection: Helping users understand their web footprints.(2015) IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) Received Best Paper Runner-up Award Download Spearheading Innovation in the Face of Massive Data. (2015) NITRD Big Data Strategic Initiative Meeting Final Report - 2015 Download Stability vs. Diversity: Understanding the dynamics of actors in time-varying affiliation networks.(2012) ASE/IEEE International Conference on Social Informatics. Received Best Paper AwardDownload Social networks reveal cultural behaviour in tool-using using dolphins. (2012) Nature Communications. Download 5/2018GU undergraduate CS graduating class 50% female!! See how we got there 5/2018Konrad Rauscher defends undergraduate thesis 4/2018Data privacy discussion with the Washington Post - Your data on Facebook 12/2017Invited to speak about big data and forced migration at NAS Symposiumk 11/2017GU Women Coders Week - over 100 participants 9/2017Invited to speak about forced migration at CCubed 8/2017Yifang Wei defends PhD dissertation 5/2017Invited talk at Bloomberg 5/2017Rob Churchill defends MS thesis 5/2017Julie Hocket, Maya McCoy, and Zoe Park all defend their undergraduate theses 4/2017Spoke about Big Data Analytics using Twitter at the Society for Research in Child Development Meeting 3/2017Organized NSF Big Data PI Meeting 2/2017Hosted ACM CAPWIC Women's CS Conference at GU - over 200 people attended!! Hoya Article 1/2017gu-WeCode Coding Party - over 60 people coding!! Hoya Article 1/2017Reprint of Clinton topic visual analytic The Hill Article 11/2016Hoya Hacks - Take 2 10/2016Best paper runner up at DSAA 2016 9/2016"Email" Dominates What Americans Have Heard About Clinton Gallup Article 9/2016Invited roundtable panelist at APSA annual meeting - New data on militant groups 8/2016Invited panelist at ASONAM - Social network analysis for the social good 5/2016Lectured at the National Security Student Seminar about privacy in the era of social media 5/2016Kevin Tian defends undegrad interdisciplinary thesis 5/2016Jordan King defends undegrad CS thesis 4/2016Hosted NSF Big Data PI meeting 3/2016Invited talk at FISSEA 2016 1/2016GU's first Hackathon Hoya Hacks 11/2015Invited talk at Data Science Meetup 8/2015Best paper runner up at ASONAM 2015 5/2015Dennis Quinn defends undergrad interdisciplinary thesis 5/2015Janet Zhu defends undergrad CS thesis 5/2015Andrew Hian-Cheong defends undergrad CS thesis January 2015Hosted Big Data Workshop (BDSI-2015) Fall 2014Awarded Mass Data Institute Seed Grant with Shweta Bansal to improve our understanding of the spatial dynamics of flu to better inform public policy Fall 2014Awarded Mass Data Institute Seed Grant with Susan Martin for using social media to better understand population displacement 8/2014Republic 3.0 article about GU Women Coders 5/2014Awarded ITEL grant with Shweta Bansal to teach network science to non-majors 5/2014Welles Robinson defends undergrad thesis Spring 2014CS&E Club teaches Scratch at Lab School 2/2014GU Women Coders is born! 1/2014Invited talk at IPAM Workshop on the Mathematics of Social Learning more > singh@cs.georgetown.edu 332 St. Mary's Building 202-687-9253 diff --git a/src/data/compiled_bios/2760.txt b/src/data/compiled_bios/2760.txt new file mode 100644 index 0000000000..43718b0193 --- /dev/null +++ b/src/data/compiled_bios/2760.txt @@ -0,0 +1 @@ + Nick Feamster Home Bio Projects Team Papers Teaching Nick Feamster Professor, Department of Computer Science Associated Faculty, School of Public Affairs Deputy Director, Center for Information Technology Policy Princeton University CV Sherrerd Hall Room 310 feamster -at- cs . princeton . edu + 1 609 258 2203 (no voicemail, please) News 23 Aug 2018 Arpit Gupta presented our work on Sonata at SIGCOMM 19 Aug 2018 Trisha Datta presented our work on IoT privacy at SIGCOMM 19 Aug 2018 Frank Li presented our work on IoT security at SIGCOMM 16 Aug 2018 Annie Edmundson presented our work on Tor onion usability at USENIX Security 14 Aug 2018 Austin Hounsel presented our work on censorship block lists at USENIX Security 18 July 2018 I presented our work on Oblivious DNS to the IETF DPRIVE Working Group My research applies an empirical, data-driven approach to understand and improve network performance, security, and privacy. I measure and study Internet phenomena. I design, develop, and deploy protocols and systems that make the Internet work better for users. IoT Security and Privacy The devices that we connect to the network are fundamentally insecure, and they are increasing and collecting private user data. My research develops network-based, data-driven techniques to protect user security and privacy, with a focus on smart homes. More Info Censorship and Information Control Countries around the world are increasingly developing mechanisms to control their citizens' access to information online, through a combination of protocol filtering, control of online platforms and infrastructure, and the spread of disinformation. My research measures information control and manipulation on a large-scale and develops mechanisms to help users gain better access to information. More Info Access Network Performance From web browsing to video streaming, access network performance affects user experience. My research studies fixed and mobile broadband access network performance, and how performance bottlenecks from a user's home wireless network to ISP interconnection ultimately affect a user's quality of experience. More Info Copyright Nick Feamster 2018 diff --git a/src/data/compiled_bios/2761.txt b/src/data/compiled_bios/2761.txt new file mode 100644 index 0000000000..d4179ba023 --- /dev/null +++ b/src/data/compiled_bios/2761.txt @@ -0,0 +1 @@ +Christiane D. Fellbaum Lecturer with Rank of Professor, Program in Linguistics and Computer Science Green Hall 1-S-14 Princeton University Princeton New Jersey 08544 U.S.A. Phone: 609-258-2824 Fax: 609-258-9221 my last name@princeton.edu Executive Board member of the Center for Digital Humanities Member of the Program in Translation Co-Founder and Co-President of the Global WordNet Association Winner of the Wolfgang Paul Prize 2006 Antonio Zampolli Prize (with George A. Miller) Partner in the European Projects KYOTO , SIERA Permanent Fellow and Member of the Center for Language, Berlin-Brandenburg Academy of Sciences Member, Board of Directors, American Friends of the Humboldt Foundation Work supported by the U.S. National Science Foundation, the European Union (Seventh Framework), the Frank Moss Foundation and the Tim Gill Foundation Schloss Dagstuhl Seminar on Computational Humanities July 2014 Wall Street Journal article on corpora An interesting read for everyone thinking about computational linguistic research We are a host site for the Annual North American Computational Linguistics Olympiad Courses LIN/TRA 308 Bilingualism LIN 201/CGS 205 Introduction to Language and Linguistics FRS (Freshman Seminar) Evolution of Human Language COS Junior Independent Work Seminar Natural Language Processing Selected publications from the 21st century 2000 Fellbaum, C., (2000). Autotroponymy. In: Ravin, Y. and Leacock, C. (eds.): Polysemy , pp. 52-67. Cambridge: Cambridge University Press. Fong, S., Fellbaum, C., and D. Lebeaux, (2000). Semantic Templates and Transitivity Alternations in the Lexicon. Proceedings of TALN 2000 , Lausanne, Switzerland. Fong, S., Fellbaum, C., and Lebeaux, D. (2000). ``Verb Classes and Resultative Selection in a Computational Lexicon.'' Proceedings of the First Meeting on Speech Technology , Spain: Seville Fong, S., Fellbaum, C., and Lebeaux, D. (2000). ``The Representation of Verbs and Resultatives in a Computational Lexicon.'' In: Proceedings of COMLEX (Computational Lexicography and Multimedia Dictionaries), 67-70. Patras, Greece. 2001 Fong, S., Fellbaum, C., and D. Lebeaux, (2001). Ghosts, Shadows, and Resultatives: The Lexical Representation of Verbs. Traitement Automatique de Langue , Vol. 42. No. 3, 767-797. Fellbaum, C. (2001). ``The Representation of Verbs in a Large Electronic Lexicon.'' Proceedings of the Seventh International Symposium on Social Communication. Center of Applied Linguistics, Santiago de Cuba, Cuba. Fellbaum, C., Palmer, M., Dang, H., Delfs, L. and Wolf, S. (2001). ``Manual and Automatic Semantic Annotation with WordNet.'' In: Moldovan, D. et al., (Eds.), Proceedings of the Workshop on WordNet and other Lexical Resources, NAACL, 3-10. Pittsburgh, PA. 2002 Fellbaum, C. (2002). On the Semantics of Troponymy. In: Green, R., Bean, C., Myaeng, S. (eds.): Relations . Dordrecht, Holland: Kluwer. Fellbaum, C. and Grabowski, A. (2002). Polysemy and the (Mental) Lexicon. In: Lenci, A., and di Tomaso, V. (Eds.) Exploring the Lexicon: Theory and Computation, 7-16. Alessandria, Italy: Edizione dell'Orso. Fellbaum, C. (2002). Parallel Hierarchies in the Verb Lexicon. Proceedings of the OntoLex Workshop , LREC, Las Palmas, Spain (2002). Fellbaum, C. (2002). VP Idioms in the Lexicon: Topics for Research Using a Very Large Corpus. In: Busemann, S., (Ed.), Proceedings of KONVENS 2002 , Saarbruecken, Germany: DFKI 2003 Fellbaum, C., Kramer, U., and Stantcheva, D. (2003). Etwas and eins in VP-Idiomen. Proceedings of the Annual Meeting of the Institut fuer Deutsche Sprache, Mannheim, Germany. Fellbaum, C. (2003). Distinguishing Verb Types in a Lexical Ontology. Proceedings of the Second International Workshop on Generative Approaches to the Lexicon. ISSCO, Geneva. 2004 Smith, B. and Fellbaum, C. (2004). Medical WordNet: A New Methodology for the Construction and Validation of Information Resources for Consumer Health. In: Proceedings of COLING, Geneva. Neumann, G., Fellbaum, C., Geyken, A., Herold, A., Huemmer, C., Koerner, F., Kramer, U., Krell, K., Sokirko, A., Stantcheva, D., and Stathi, K. (2004). A Corpus-Based Lexical Resource of German Idioms. In: Proceedings of the Workshop on Electronic Lexicons, eds. P. Saint Dizier and M. Zock, COLING, Geneva. Geyken, A., Sokirko, A., Rehbein, I., and Fellbaum, C. (2004). What is the optimal corpus size for the study of idioms? Annual meeting of the German Linguistic Society, Mainz February 2004. Sojka, Petr, Pala, Karel, Smrz, Pavel, Fellbaum, Christiane, and Vossen, Piek, Eds. (2004). Proceedings of the Second International WordNet Conference. Masaryk University, Brno, Czech Republic. v Fellbaum, C. (2004). Idiome in einem Digitalen Lexikalischen System. Linguistik und Literatur, Vol. 34, no. 136, 56-71. Fellbaum, C., Neumann, G., and Kramer, U. (2004). Corpusbasierte lexikographische Erfassung und linguistische Analyse deutscher Idiome. Proceedings of the 2004 Europhras conference, Basel, Switzerland. 2005 Fellbaum, C., Delfs, L., Wolff, S., and Palmer, M. (2005). Word Meaning in Dictionaries, Corpora, and the Speaker's Mind. , In: Barnbrook, G., Danielsson, P., and Mahlberg, M. (Eds.), Meaningful Texts: The Extraction of Semantic Information from Monolingual and Multilingual Corpora. Birmingham, UK: Birmingham University Press, 31-38. Fellbaum, C. (2005). Examining the Constraints on the Benefactive Alternation by Using the World Wide Web as a Corpus. In: Reis, Marga and Kepser, Stephan (eds.), Evidence in Linguistics: Empirical, Theoretical, and Computational Perspectives. Mouton de Gruyter, 209-240. Palmer, M., Dang, H., and Fellbaum, C. (2005). Making fine-grained and coarse-grained sense distinctions. Journal of Natural Language Engineering. Kramer, U., Neumann, G., Stathi, K. and Fellbaum. C. (2005). Kollokationen im Woerterbuch:Das Wolfgang Paul-Preis Projekt an der Berlin-Brandenburgischen Akademie der Wissenschaften. Zeitschrift fuer Germanistik. Fellbaum, C. (2005). Theories of human semantic representation of the mental lexicon. In: Cruse, D. A. (Ed.), Handbook of Linguistics and Communication Science, Berlin, Germany: Walter de Gruyter, 1749-1758. Basu, C., Merrell, M.A., Fellbaum, C., Talbert, D., Kolpack, J., Honeycutt, M., Alonso, R., and Bloom, J. (2005) Automated Knowledge Discovery System: A Business Case Study in Ontology Development and Use. Proceedings of FOMI, Lago di Garda, Italy. Fellbaum, C. and Geyken, A. (2005). ``Transforming a Corpus into a Lexical Resource for Idioms and Collocations.'' Revue Francaise de Linguistique Applique.'' Vol. X-2, 49-62. Fellbaum, C. (2005). WordNet and wordnets. In: Brown, Keith et al. (eds.), Encyclopedia of Language and Linguistics, Second Edition, Oxford: Elsevier, 665-670. 2006 Fellbaum, C., Hahn, U., and Smith, B. (2006). ``Towards a new information resource for public health: From WordNet to Medical WordNet.'' Journal of Biomedical Informatics 39:321-332. Fellbaum, C., and Stathi. E. (2006). Ididome in der Grammatik und im Kontext: We bruellt hier die Leviten? In: Proost, K., and Winkler, E. (Eds.) ``Von Intentionalitaet zur Bedeutung konventionalisierter Zeichen.'' Berlin:deGruyter, 125-146. Fellbaum, C., Kramer, U., and Neumann. G. (2006). ``Corpusbasierte lexikographische Erfassung und linguistische Analyse deutscher Idiome.'' In: Phraseology in Motion, A. Haecki-Buhofer and H. Burger (eds.) Basel, Switzerland, Schneider Verlag, 43-56. Boyd-Graber, J., Fellbaum, C., Osherson, D., and Schapire, R. (2006). Adding dense, weighted, connections to WordNet. In: Proceedings of the Third Global WordNet Meeting, Jeju Island, Korea, January 2006. Keyvan, F., Borjian, H., Kasheff, M., and Fellbaum, C. (2006). Developing PersiaNet: The Persian WordNet. In: Proceedings of the Third Global WordNet Meeting, Jeju Island, Korea, January 2006. Elkateb. S., Black, W., Farwell, D., Rodroguez, H., Alkhalifa, M., Pease, A., Vossen, P., and Fellbaum, C. (2006). Challenges of Building an Arabic WordNet. Sixth International Conference on Language Engineering, Cairo, Egypt. Fellbaum. C. Ed. (2006) Corpus-Based Studies of German Idioms and Light Verbs. Special issue of the Journal of Lexicography , 19.4. Fellbaum, C., and Stathi. E. (2006). ``Idiome in der Grammatik und im Kontext: We bruellt hier die Leviten?'' In: Proost, K., and Winkler, E. (Eds.) Von Intentionalitaet zur Bedeutung konventionalisierter Zeichen. Tuebingen: Narr, 125-146. Fellbaum, C. and Fong, S. (2006). ``Obstacles and Regions.'' Linguistica Computazionale Vol. XXII-XXIII, 69-88 2007 Fellbaum, C. Ed. (2007). Collocations and Idioms: Corpus-Based Linguistic and Lexicographic Studies. Continuum Press, Birmingham, UK. Fellbaum, C. (2007). The Ontological Loneliness of Idioms. In: Schalley, A., and Zaefferer, D. (Eds.), Ontolinguistics , Mouton. Fellbaum, C., Osherson, A., and Clark, P. (2007). Putting Semantics into WordNet's "Morphosemantic" Links . Proceedings of the Third Language and Technology Conference, Poznan (Poland). Reprinted in Springer Lecture Notes in Artificial Intelligence 5603:350-358 (2009). Clark, P., Harrison, P., Thompson, J., Murray, W., Hobbs, J., and Fellbaum, C. (2007). ``On the Role of Lexical and World Knowledge in RTE3.'' ACL-PASCAL Workshop on Textual Entailment and Paraphrases, Prague, CZ. Miller, G. A. and Fellbaum, Christiane. (2007). WordNet Now and Then. Language Resources and Evaluation, 41:2, 209-214 Diab, Mona, Alkhalifa, Musa, Elkateb. Sabri, Fellbaum, Christiane, Mansouri, Aous, and Palmer, Martha. (2007). Arabic Semantic Labeling. Proceedings of the Semeval Workshop, ACL, Prague, CZ. M. Harper, A. Acero, S. Bangalore, J. Carbonell, J. Cohen, B. Cuthill, C. Espy-Wilson, C. Fellbaum, J. Garofolo, C.-H. Lee, J. Lester, Andrew McCallum, Nelson Morgan, M. Picheney, J. Picone, L. Ramshaw, J. Reynar, H. Shemtov, and C. Voss, ``Report on the NSF-sponsored Human Language Technology Workshop on Industrial Centers.'' Proceedings of the Machine Translation Summit XI Copenhagen. Basu, Chumki, Cheng, Hui, and Fellbaum, Christiane (2007). ``Creating a Geospatial and Visual Information Ontology for Analysts.'' Ontology for the Intelligence Community: Towards Effective Exploitation and Integration of Intelligence Resources , B. Smith (Ed.). 2008 Baker, Collin and Fellbaum, Christiane (2008). Can WordNet and FrameNet be made ``interoperable''? In: Proceedings of the First International Conference on Global Interoperability for Language Resources. Hong Kong, City University, 67-74. Kwasniak, Renata and Fellbaum, Christiane. (2008). Des Schlagen der Idiome ueber die Straenge. Muttersprache 118:1, 38-55. Firenze, A., and Fellbaum, C. (2008). Analyse sur corpus d'expressions figees de l'allemand. Linguisticae Investigationes 31:2, 158-172. Clark, P., Fellbaum, C., Hobbs, J., Harrison, P., Murray, W. and J. Thompson. (2008). Augmenting WordNet for Deep Understanding of Text. ACL-SigSem, Venice, Italy. Pala, Karel, Bosch, Sonja and Fellbaum, Christiane (2008). Building Resources for African Languages. In: Proceedings of the Sixth International Language Resources and Evaluation, Paris: ELRA. Ide, N., Baker, C., Fellbaum, C., Fillmore, C., Passonneau, R. (2008). MASC: The Manually Annotated Sub-Corpus of American English. Proceedings of the Sixth Language Resources and Evaluation Conference (LREC), Marrakesh, Morocco. Clark, P., Fellbaum, C., Hobbs, J., Harrison, P., Murray, W. and J. Thompson. (2008). Augmenting WordNet for Deep Understanding of Text. ACL-SigSem, Venice, Italy. 2009 Pease, A., and Fellbaum, C. (2009). ``Formal Ontology as Interlingua: The SUMO and WordNet Linking Project.'' In: Huang, Chu-Ren, Nicoletta Calzolari, Aldo Gangemi, Alessandro Lenci, Alessandro Oltramari and Laurent Prevot (Eds.) Ontologies and the Lexicon. Cambridge Studies in Natural Language Processing. Cambridge: Cambridge University Press, 29-43. Nikolova, S., Boyd-Graber, J., Fellbaum, C. and Cook, P. (2009). Better Vocabularies for Assistive Communication Aids: Connecting Terms using Semantic Networks and Untrained Annotators. Proceedings of the 11th ACM SIGACCESS conference (ASSETS), Pittsburgh, PA. Vossen. P., and Fellbaum, C. (2009). ``Universals and idiosyncrasies in multilingual wordnets.'' In Boas, Hans (ed.), Multilingual Lexical Resources. Berlin: de Gruyter, pp. 319-345 Bosch, Sonja and Fellbaum, Christiane (2009). A Comparative View of Noun Compounds in English and Zulu. In: Festschrift for Karel Pala, Brno, Czech Republic. Agirre, E., Lopez de Lacalle, O., Fellbaum, C., Marchetti, A., Toral, A., and Vossen, P. (2009). SemEval-2010 Task 17: All-words Word Sense Disambiguation on a Specific Domain . Proceedings of NAACL workshop on Semantic Evaluations (SEW-2009), Boulder, CO. 2010 Ma, Xiaojuan, Fellbaum, Christiane and Perry Cook (2010). Semantic Labeling of Non-Speech Audio Clips . EURASIP Journal on Audio, Speech, and Music Processing. Fellbaum, C. (2010). "WordNet." In: Poli, Roberto, Michael Healy and Achilles Kameas, Eds. Theory and Application of Ontology: Computer Applications. New York: Springer, 231-243. Mathieu, Yvette Yannick and Christiane Fellbaum (2010). Verbs of Emotion in French and English. In: Proceedings of the 5th International Conference of the Global WordNet Association (GWC-2010) , Mumbai, India. Ma, Xiaojuan, Fellbaum, Christiane and Cook, Perry (2010). SoundNet: Investigating a Language Composed of Environmental Sounds . Proceedings of ACM-CHI. Pala, K., Fellbaum, C. and Bosch, S. (2010). Lexical Resources for Noun Compounds in Czech, English and Zulu. In: Proceedings of Lexical Resources in the European Community Malta, May 2010. Schulam Peter and Christiane Fellbaum (2010). ``Automatically Determining the Semantic Gradation of German Adjectives.'' Proceedings of The Tenth Conference on Natural Language Processing (KONVENS 2010), Saarbruecken, Germany. Fellbaum, C. (2010). ``Harmonizing WordNet and FrameNet.'' In: Loftsson, H., Roegnvaldsson, E., and Helgadottir, S. (Eds.) Springer Lecture Notes in Artificial Intelligence 6233, 7th International Conference on NLP IceTal 2010. (Invited Talk). Heidelberg: Springer, p. 2. Fellbaum, C. (2010). ``Knowledge for Everyman'' (Extended Abstract for Invited Talk). In: Sojka, P., Horak, A., Kopecek, I. and Pala, K. (Eds.) Proceedings of the 13th conference on Text, Speech and Dialogue. Springer Lecture Notes in Artificial Intelligence 6231. Heidelberg: Springer, pp. 6-9. 2011 Fellbaum, C. (2011). Idioms and Collocations. In: Maienborn, C. et al. (eds.) Handbook of Semantics. Berlin: deGruyter. Fellbaum, C. and Mathieu, Y.Y. (2011). ``A corpus-based examination of scalar verbs of emotion.'' Proceedings of Cognition, Emotion, Communication, Nicosia, Cyprus. 2012 Fellbaum, C. and Vossen, P. (2012). The Challenge of Multilingual WordNets. Lexical Resources and Evaluation 46: 313-326. Passonneau, R., Baker, Collin, Fellbaum, Christiane and Ide, Nancy (2012). ``The MASC Word Sense Corpus.'' Proceedings of LREC, Istanbul. de Melo, G., Baker, C., Ide, N., Passonneau, R. and Fellbaum, C. (2012). Empirical Comparisons of MASC Word Sense Annotations. Proceedings of LREC, Istanbul, Turkey Nikolova, S., Boyd-Graber, J., and Fellbaum, C. (2012). Collecting Semantic Similarity Ratings to Connect Concepts in Assistive Communication Tools. In: A. Storrer et al., Eds. Modeling, Learning and Processing of Text Technological Data Structures. Studies in Computational Intelligence. Heidelberg/New York: Springer, 81-93. Fellbaum, C. (2012). Intransitives and Agentivity. In: Van Peteghem, M., Lauwers, P., Demol, A., Tobback, E. and De Wilde, L. (Eds.) Hommages a Dominique Willems. Academia Press, Ghent, Belgium. Fellbaum, Christiane and Yvette Yannick Mathieu (2012). Scalar Properties of Emotion Verbs and Their Representation in WordNet. In: Proceedings of the 6th International Conference of the Global WordNet Association (GWC-201)2 , Matsue, Japan. Hoffmann, Holger and Fellbaum, Christiane (2012). Machine learning-based classification of complex texts simplified by laymen. Proceedings of HICCS-46 (Hawaiian International Conference on System Sciences) . 2013 Fellbaum, Christiane and Baker, Collin (2013). Representing verb meaning in complementary resources. Linguistics 54.1:707-728. Fellbaum, C. (2013). WordNet. The Encyclopedia of Applied Linguistics, ed. C. A. Chapelle. Wiley/Blackwell. Fellbaum, C. (2013). Purpose Verbs. In: Pustejovsky, J., Bouillon, P., Isahara, H., Kanzaki, K. and Lee, C. (eds.), Recent Trends in Generative Lexicon Theory. Berlin: Springer, 371-384. Chiarcos, C., McCrae, J., Cimiano, P. and Fellbaum, C. (2013). Towards Open Data for Linguistics: Linguistic Linked Data. In: Oltramari, A., Qin. L., Vossen, P. and Hovy, E. (Eds.): New Trends in Research in Ontologies and Lexical Resources. New York: Springer, 7-25. Sheinman, Vera, Fellbaum, Christiane, Julien, Isaac, Schulam, Peter and Tokunaga, Takenobu (2013). Large, huge or gigantic: Identifying and encoding intensity relations among adjectives in WordNet. Lexical Resources and Evaluation 47.3: 797-818. Fellbaum, C. and Felder, E. (2013). ``Faktivitaetsherstellung in Diskursen.'' In: Felder, Ekkehard (Ed.) Sprache und Wissen. New York: DeGruyter. Fellbaum, Christiane and Rapoport, Tova (2013). A Lexical and Information Structure Account of English Instrument-Subject Constructions. Proceedings of MTT13 (Meaning, Text and Translation) Charles University, Prague, 41-49. Reprinted in Wiener Slawistischer Almanach (2014). Fellbaum, C. (2013): SIERA, MICHAEL und KYOTO . Yearbook of the Berlin-Brandenburg Academy of Sciences, Berlin, 50-52. 2014 Fellbaum, Christiane and Mathieu, Yannick (2014). A corpus-based construction of emotion verb scales. Linguistic Approaches to Emotions in Context . F. Baider and G. Cislaru, eds. Amsterdam: John Benjamins, 99-112. Mamoun Abu Helou, Matteo Palmonari, Mustafa Jarrar and Christiane Fellbaum (2014). Towards Building Lexical Ontology via Cross-Language Matching. Proceedings of the Seventh Global Wordnet Conference . Tartu, Estonia. Fellbaum, C. (2014). The syntax and grammar of idioms. In: Kiss, Tibor and Alexiadou, Artemis (eds.) Handbook of Syntax. Berlin: de Gruyter, 776-802. McCrae, J., Fellbaum, C. and Cimiano, P. (2014). ``Publishing and Linking WordNet using lemon and RDF.'' Proceedings of the Third Workshop on Linked Data in Linguistics, Multilingual Knowledge Resources and Natural Language Processing. Reykjavik, Iceland. Dragut, Eduard and Fellbaum, C. (2014) ``The Role of Adverbs in Sentiment Analysis.'' In: Frame Semantics in NLP: A Workshop in Honor of Chuck Fillmore , ACL, Baltimore, MD. Bond, F., Fellbaum, C., Hsieh, S.-K., Huang, C.-R., Pease, A. and Vossen, P. ``A Multilingual Lexico-Semantic Database and Ontology'', eds. P. Cimiano and P. Buitelaar. Smaha, Rebecca and Christiane Fellbaum (2014). ``How Natural are Artificial Languages?'' In: Language Production, Cognition and the Lexicon , eds. N. Gala, R. Rapp and G. Bel. Heidelberg: Springer. Barbu, A., Barrett, D., Chen, W., Siddharth, N., Xiong, C., Fellbaum, C., Hanson, C., Hanson, S. J., Helie, S., Malaia, E., Pearlmutter, B., Siskind, J. M., Talvage, T. and Wilbur, R. (2104). ``Seeing is Worse than Believing: Reading People's Minds Better than Computer Vision Methods Recognize Actions.'' In: Proceedings of the 13th European Conference on Computer Vision (ECCV 2014) , T. Tuytelaars, B. Schiele, T. Pajdla and D. Fleet (eds.), Lecture Notes in Computer Science Vol. 8693. Heidelberg: Springer. Fellbaum, C. (2014). Large-scale lexicography in the Digital Age. International Journal of Lexicography, Special Issue on Digital Lexicography, eds. M.-C. L'Homme and M. Cormier. Zhu, Feng and Fellbaum, Christiane (2014). ``Automatically Identifying Chinese Verb-Noun Collocations.'' Festschrift for D. Dobrovolskij, E. Piirainen and M. Delmas (eds.). Benjamins. Biemann, Chris, Crane, Gregory, Fellbaum, Christiane and Mehler, Alexander. (2014). ``Computational Humanities: Bridging the gap between Computer Science and the Digital Humanities.'' Dagstuhl Seminar 14301, Dagstuhl Reports pp. 80-111. 2015 Fellbaum, C. ``Lexical Relations.'' The Oxford Handbook of the Word . John Taylor (Ed.), Oxford University Press. 350-363. Baker, Collin, Fellbaum, Christiane and Passonneau, Rebecca. ``Semantic Annotation of MASC.'' In: Handbook of Linguistic Annotation, eds. Nany Ide and James Pustejovsky. Heidelberg: Springer. 2016 Fellbaum, C. Treatment of Multi-Word Units. The Oxford Handbook of Lexicography P. Durkin (Ed.), Oxford University Press. 411-424. Bond, Francis, Vossen, Piek, McCrae, John and Fellbaum, Christiane (2016). CILI: the Collaborative Interlingual Index. Proceedings of the eighth Global WordNet Conference, Bucharest, Romania. Hicks, Amanda, Rutherford, Michael, Fellbaum, Christiane and Bian, Jiang (2016). An Analysis of WordNets Coverage of Gender Identity Using Twitter and The National Transgender Discrimination Survey. Proceedings of the eighth Global WordNet Conference, Bucharest, Romania. Lohk, Ahti, Fellbaum, Christiane and Vohandu, Leo (2016). Tuning Hierarchies in Princeton WordNet. Proceedings of the eighth Global WordNet Conference, Bucharest, Romania. Lopez, C., Segond, F. and Fellbaum, C. (2016). Encoding Adjective Scales for Fine-Grained Resources . Poster, LREC, Ljublajana, Slovenia. 2017 Fellbaum, Christiane. ``WordNet: An electronic lexical resource for English.'' In: The Oxford Handbook of Cognitive Science, S. Chipman (Ed.), Oxford University Press, 301-313. Mikhail Khodak, Andrej Risteski, Christiane Fellbaum, and Sanjeev Arora (2017). Automated WordNet Construction Using Word Embeddings. Proceedings of theEACL 2017 Workshop on Sense, Concept, and Entity Representations and their Applications. Fellbaum, Christiane and Mathieu, Yvette Yannick. Annoyed, Angered or Enraged? Intensity Scales for Emotion Verbs. In: Nicole Tersis and Pascal Boyeldieru (eds.) Le langage de l'emotion: Variations linguistiques et culturelles. Leuven: Peeters, 427-442. 2018 Angel X. Chang, Rishi Mago, Pranav Krishna, Manolis Savva and Christiane Fellbaum. Linking 3D Models to WordNet at Part, Attribute and Contextual Levels. Proceedings of the Global WordNet Association, Nanyang Technical University, Singapore. Chumki Basu, Laura Dietz and Christiane Fellbaum. WordNetContext: Information Retrieval-Friendly Access to WordNet Senses . Proceedings of KG4IR (Knowledge Graph and Semantics for Text Analysis and Retrieval) Workshop 2018, Ann Arbor, MI. 2019 Fellbaum, C. and A. Hicks. When WordNet met ontology. In: A Festschrift for Nicola Guarino , eds. L. Vieu et al. Gourabathina, A. and C. Fellbaum (in press). A corpus analysis of the collocational properties of English modifying adverbs. In: ed. T. Khan et al. Central Institute for Indian Languages, Mysore, India Fellbaum, C. (to appear). Is there a grammar of idioms? Linguistics. Fellbaum, C. (to appear) Future Challenges for the Princeton WordNet. In: Special Issue on Linking, Integrating and Extending Wordnets. Linguistic Issues in LanguageTechnology, eds. Francis Bond, Christiane Fellbaum and Ewa Rudnicka. Non-scientific writings Fellbaum, C. (2004). Klimavergleich D-US, oder: Die unertraegliche Leichtigkeit des akademischen Lebens. In : Gegenworte Vol. 14, Berlin-Brandenburgische Akademie der Wissenschaften. Reprinted in: Claudia Koepernik, Johannes Moes, and Sandra Tiefel (Eds.): Handbuch Promovieren mit Perspektive. Ein Ratgeber von und fuer DoktorandInnen. Bertelsmann: Bielefeld 2005. Fellbaum, C. (2005). Einsteinsche Beruehrungsreliquien. In: Gegenworte Vol. 16, Berlin-Brandenburgische Akademie der Wissenschaften. Fellbaum, C. (2013). Obituary George A. Miller. Computational Linguistics. diff --git a/src/data/compiled_bios/2762.txt b/src/data/compiled_bios/2762.txt new file mode 100644 index 0000000000..d99e0b3ba0 --- /dev/null +++ b/src/data/compiled_bios/2762.txt @@ -0,0 +1 @@ + Edward W. Felten Director, Center for Information Technology Policy Robert E. Kahn Professor of Computer Science and Public Affairs Princeton University email: felten@cs.princeton.edu [felten at cs dot princeton dotedu] office: 302 Sherrerd Hall Full contact information curriculum vitae Research and advising My research interests include computer security and privacy, and public policy issues relating to information technology. Specific topics include software security, Internet security, electronic voting, cybersecurity policy, technology for government transparency, network neutrality and Internet policy. I am Director of Princeton's Center for Information Technology Policy (CITP) , a cross-disciplinary effort studying digital technologies in public life. CITP has seventeen affiliated faculty members and maintains a diverse research program and a busy events schedule. I often blog about technology and policy at Freedom to Tinker . past semesters Teaching Spring 2013 WWS Junior Task Force on Robots, Law, and Policy Fall 2013 COS 597G: Advanced Topics in Computer Science: Surveillance and Countermeasures Spring 2013 WWS Junior Task Force on Mobile Privacy Fall 2012 COS 432: Information Security Fall 2010 COS 432: Information Security Spring 2010 WWS 586F / COS 586: Information Technology and Public Policy more publications Selected publications You Might Also Like: Privacy Risks of Collaborative Filtering Joseph A. Calandrino, Ann Kilzer, Arvind Narayanan, Edward W. Felten, and Vitaly Shmatikov. Proc. IEEE Symposium on Security and Privacy , May 2011 Fingerprinting Blank Paper Using Commodity Scanners William Clarkson, Tim Weyrich, Adam Finkelstein, Nadia Heninger, J. Alex Halderman, and Edward W. Felten Proc. IEEE Symposium on Security and Privacy , May 2009 Government Transparency and the Invisible Hand David G. Robinson, Harlan Yu, William P. Zeller, and Edward W. Felten Yale Journal of Law and Technology Vol. 11, p. 160, 2009 Lest We Remember: Cold Boot Attacks on Encryption Keys J.AlexHalderman, SethSchoen, NadiaHeninger, WilliamClarkson, WilliamPaul, JosephA.Calandrino, ArielFeldman, JacobAppelbaum, andEdwardW.Felten Proc. 17th USENIX Security Symposium Sec 08, San Jose, CA, August 2008 Security Analysis of the Diebold AccuVote-TS Voting Machine ArielFeldman, J.AlexHalderman, and EdwardW.Felten Proc. 2007 USENIX/ACCURATE Electronic Voting Technology Workshop EVT 07, Boston, MA, August 2007 Site design copied from Alex Halderman ; used with permission. Photo by Claire Felten, offered under Creative Commons 3.0 Attribution license . diff --git a/src/data/compiled_bios/2763.txt b/src/data/compiled_bios/2763.txt new file mode 100644 index 0000000000..0ca7f621fa --- /dev/null +++ b/src/data/compiled_bios/2763.txt @@ -0,0 +1 @@ + . Adam Finkelstein Professor Computer Science Department Princeton University af@cs.princeton.edu af[at]cs[dot][this school][dot]edu Before I started drinking 8 cups of coffee a day, my hair was limp and lacked body. I work on computer graphics in the Computer Science Department at Princeton University . My research interests revolve around creating tools that help professional and novice artists express themselves in the digital medium, including photo and video manipulation and stylized rendering for animation. I have been an active contributor and volunteer at the ACM SIGGRAPH conference, and chaired the SIGGRAPH 2014 Technical Papers program. With others at Princeton, I founded and organize Art of Science Exhibition. I received a doctorate from the University of Washington in 1996. From 1987 to 1990, I was a software engineer at Tibco (formerly Teknekron Software Systems) in Palo Alto; I wrote software for people who trade stock. I was an undergraduate student (class of 87) at Swarthmore College , where I studied (occasionally) physics and computer science. I have received a number of awards including the NSF CAREER Award and an Alfred P. Sloan Fellowship, and was inducted as a Fellow of the ACM . teaching research contact images personal diff --git a/src/data/compiled_bios/2764.txt b/src/data/compiled_bios/2764.txt new file mode 100644 index 0000000000..3f68b9d5aa --- /dev/null +++ b/src/data/compiled_bios/2764.txt @@ -0,0 +1 @@ + group research teaching pubs cv bio contact July 2012 Michael J. Freedman Professor of Computer Science SNS Group Associate: CITP Princeton University mfreed@cs.princeton.edu Co-founder/CTO, Timescale group research teaching pubs cv bio contact Research interests: distributed systems, networking, security News 01-29-19 Timescale announces Series A1 financing . 12-31-18 Fixing video streaming via Sprint posted . 05-9-18 Extending flash lifetime via DIRECT posted . 01-24-18 Timescale announces Series A financing . 01-22-18 Riffle accepted at Eurosys 18 . 01-17-18 SLAQ accepted to SysML 18 . 11-16-17 TimescaleDB at CMU TSDB lectures . 09-27-17 TimescaleDB at Strata - NYC 17 . 09-25-17 SLAQ wins Best Paper at SOCC 17 . 08-17-17 Ethane wins SIGCOMM Test of Time Paper Award . More... Michael J. Freedman Professor of Computer Science SNS Group Associate: CITP Princeton University mfreed@cs.princeton.edu Co-founder/CTO, Timescale Tweets by @michaelfreedman diff --git a/src/data/compiled_bios/2765.txt b/src/data/compiled_bios/2765.txt new file mode 100644 index 0000000000..59192d7edc --- /dev/null +++ b/src/data/compiled_bios/2765.txt @@ -0,0 +1 @@ +< Thomas A. Funkhouser - Home Page Thomas Funkhouser David M. Siegel Professor of Computer Science Princeton University How to Reach Me: E-mail: funk@cs.princeton.edu Princeton Computer Vision Group Princeton Computer Graphics Group Department of Computer Science Princeton University 35 Olden Street, Room 422 Princeton, NJ 08544 Phone: (609) 258-1748 Fax: (609) 258-1771 Note: I am on leave Recent Publications (here is a full list of publications ): Jingwei Huang, Haotian Zhang, Li Yi, Thomas Funkhouser, Matthias Niessner, and Leonidas Guibas, TextureNet: Consistent Local Parametrizations for Learning from High-Resolution Signals on Meshes , arXiv 1812.00020 [cs.CV], November 2018. Andy Zeng, Shuran Song, Stefan Welker, Johnny Lee, Alberto Rodriguez, and Thomas Funkhouser, Learning Synergies between Pushing and Grasping with Self-supervised Deep Reinforcement Learning, International Conference on Intelligent Robotics (IROS), October 2018. (arXiv:1803.09956 [cs.RO]). Elena Balashova, Amit H. Bermano, Vladimir G. Kim, Stephen DiVerdi, Aaron Hertzmann, and Thomas Funkhouser, Learning A Stroke-Based Representation for Fonts , Computer Graphics Forum, October 2018. Elena Balashova, Vivek K. Singh, Brian Teixeira, J. Wang, Terrance Chen, and Thomas Funkhouser, Structure-Aware Shape Synthesis, International Conference on 3D Vision (3DV), September 2018. Yinda Zhang, Sameh Khamis, Christoph Rhemann, Julien Valentin, Adarsh Kowdle, Vladimir Tankovich, Michael Schoenberg, Shahram Izadi, Thomas Funkhouser, and Sean Fanello, ActiveStereoNet: End-to-End Self-Supervised Learning for Active Stereo Systems, European Conference on Computer Vision (ECCV), oral presentation, September 2018. Yifei Shi, Kai Xu, Matthias Niessner, Szymon Rusinkiewicz, and Thomas Funkhouser, PlaneMatch: Patch Coplanarity Prediction for Robust RGB-D Reconstruction , European Conference on Computer Vision (ECCV), oral presentation, September 2018 (arXiv:1803.08407 [cs.CV]). Shuran Song, Andy Zeng, Angel X. Chang, Manolis Savva, Silvio Savarese, and Thomas Funkhouser, Im2Pano3D: Extrapolating 360 Structure and Semantics Beyond the Field of View , IEEE Conference on Computer Vision and Pattern Recognition (CVPR), oral presentation, June 2018 (arXiv:1712:04569 [cs.CV]). Yinda Zhang and Thomas Funkhouser, Deep Depth Completion of a Single RGB-D Image , IEEE Conference on Computer Vision and Pattern Recognition (CVPR), spotlight presentation, June 2018 (arXiv:1803.09326 [cs.CV]). Marco Attene, Marco Livesu, Sylvain Lefebvre, Thomas Funkhouser, Szymon Rusinkiewicz, Stefano Ellero, Jonas Martinez, and Amit Haim Bermano, Design, Representations, and Processing for Additive Manufacturing, Synthesis Lectures on Visual Computing: Computer Graphics, Animation, Computational Photography, and Imaging, volume 10, issue 2, June 2018, 146 pages. Andy Zeng, Shuran Song, Kuan-Ting Yu, Elliott Donlon, Francois R. Hogan, Maria Bauza, Daolin Ma, Orion Taylor, Melody Liu, Eudald Romo, Nima Fazeli, Ferran Alet, Nikhil Chavan Dafle, Rachel Holladay, Isabella Morona, Prem Qu Nair, Druck Green, Ian Taylor, Weber Liu, Thomas Funkhouser, Alberto Rodriguez, Robotic Pick-and-Place of Novel Objects in Clutter with Multi-Affordance Grasping and Cross-Domain Image Matching , International Conference on Robotics and Automation (ICRA), May 2018 (arXiv:1710:01330 [cs.RO]). Manolis Savva, Angel X. Chang, Alexey Dosovitskiy, Thomas Funkhouser, and Vladlen Koltun, MINOS: Multimodal Indoor Simulator for Navigation in Complex Environments, arXiv:1712.03931 [cs.LG], December 2017. Angel Chang, Angela Dai, Thomas Funkhouser, Maciej Halber, Matthias Niener, Manolis Savva, Shuran Song, Andy Zeng, Yinda Zhang, Matterport3D: Learning from RGB-D Data in Indoor Environments , International Conference on 3D Vision (3DV), October 2017 (arXiv:1709.06158 [cs.CV]). Jerry Liu, Fisher Yu, and Thomas Funkhouser, Interactive 3D Modeling with a Generative Adversarial Network , International Conference on 3D Vision (3DV), October 2017 (arXiv:1706.05170 [cs.CV]). Li Yi et al., Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55 arXiv:1710.06104 [cs.CV], October 2017. Angela Dai, Angel X. Chang, Manolis Savva, Maciej Halber, Thomas Funkhouser, Matthias Niener, ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes , IEEE Conference on Computer Vision and Pattern Recognition (CVPR), spotlight presentation, July 2017 (arXiv:1702.04405 [cs.CV]). Andy Zeng, Shuran Song, Matthias Niener, Matthew Fisher, Jianxiong Xiao, and Thomas Funkhouser, 3DMatch: Learning Local Geometric Descriptors from RGB-D Reconstructions, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), oral presentation July 2017 (arXiv:1603.08182v2 [cs.CV]). Y. Zhang,* S. Song,* E. Yumer, M. Savva, J. Lee, H. Jin, and T. Funkhouser, Physically-Based Rendering for Indoor Scene Understanding Using Convolutional Neural Networks , IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 2017 (arXiv:1612.07429 [cs.CV]). Shuran Song, Fisher Yu, Andy Zeng, Angel Chang, Manolis Savva, and Thomas Funkhouser, Semantic Scene Completion from a Single Depth Image , IEEE Conference on Computer Vision and Pattern Recognition (CVPR), oral presentation, July 2017 (arXiv:1611.08974 [cs.CV]). Maciej Halber and Thomas Funkhouser, Fine-To-Coarse Global Registration of RGB-D Scans , IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 2017 (arXiv:1607.08539 [cs.CV]). Fisher Yu, Vladlen Koltun, and Thomas Funkhouser Dilated Residual Networks , IEEE Conference on Computer Vision and Pattern Recognition (CVPR), July 2017. Recent Professional Activities (here is a full list of activities ): Technical Awards Chair, ACM SIGGRAPH , 2019 - present Papers chair, ACM SIGGRAPH , 2009 Advisory board, ACM SIGGRAPH , 2008, A2009, 2011, 2015 Papers sort, ACM SIGGRAPH , 2008, 2009, 2013, 2014, 2015, 2017 Papers committee, ACM SIGGRAPH , 1997, 1998, 2001, 2003, 2004, 2006, 2007, 2008, A2008, 2009, 2011, 2013 Papers chair, EUROGRAPHICS Symposium on Geometry Processing (SGP) , 2014 Papers committee, EUROGRAPHICS Symposium on Geometry Processing (SGP) , 2007, 2008, 2010, 2011, 2014, 2015, 2016 Member, Technical Awards Committee, ACM SIGGRAPH , 2017 - 2018 Recent Talks: Invited talk, 3D Scene Understanding from RGB-D Images , Bridges to 3D Vision Workshop, Computer Vision and Pattern Recognition (CVPR), June 2018. Lecture, Learning from 3D Data , Special Topics in Deep Learning Seminar, UC Berkeley, February 2018. Invited talk, 3D Data for Data-Driven Scene Understanding , Workshop on Computer Vision for Virtual Reality, International Conference on Computer Vision (ICCV), October 2017. Invited talk, Scene Understanding with 3D Deep Networks , Workshop on 3D Deep Learning, Neural Information Processing Systems (NIPS), December 2016. Invited talk, Finding Surface Correspondences With Shape Analysis , The 6th Annual Henry Taub TCE Conference, 3D Visual Computing: Graphics, Geometry & Imaging, May 2016. Award talk, Five Principles for Choosing Research Problems in Computer Graphics , ACM SIGGRAPH Computer Graphics Achievement Award Talk, SIGGRAPH, August 2014. ( YouTube video ) Recent Courses: COS 598F (Spring 2017) - Advanced Topics in CS: Deep Learning for Graphics and Vision COS 526 (Fall 2016) -- Advanced Computer Graphics COS IW02 (Spring 2016) -- Independent Work Seminar: Understanding the World with Sensors COS IW02 (Fall 2015) -- Independent Work Seminar: Understanding the World with Sensors COS 598A (Spring 2015) -- Advanced Topics in CS: Shape Analysis of RGB-D Data COS 526 (Fall 2014) -- Advanced Computer Graphics COS 426 (Spring 2014) -- Computer Graphics COS 429 (Fall 2013) -- Computer Vision COS 126 (Spring 2013) -- General Computer Science (precepts) COS 526 (Fall 2012) -- Advanced Computer Graphics COS 598A (Spring 2011) - Advanced Topics in CS: Geometric Modeling and Analysis Recent Graduate Students and Postdocs: Elena Balashova (Sizikova) (Sixth year) Maciej Halber (Sixth year) Andy Zeng (Fourth year) Kyle Genova (Third year) Manolis Savva (Postdoc -> Assistant Professor at Simon Fraser University) Angel Chang (Postdoc -> Assistant Professor at Simon Fraser University) Sid Chaudhuri (Postdoc 2011-2104 -> Assistant Professor at IIT Bombay) Yaron Lipman (Postdoc 2008-2011 -> Assoc Prof at Weizmann Institute) Jian Sun (Postdoc, 2009-1010 -> Assoc Prof at Tsinghua) Daniel Aliaga (Postdoc, 2002-2003 -> Assoc Prof at Purdue) Shuran Song (Ph.D. 2018 -> Assistant Professor at Columbia University) Yinda Zhang (Ph.D. 2018 -> Google) Fisher Yu (Ph.D. 2018 -> Postdoc at Berkeley) Tianqian Liu (Ph.D. 2015 -> Google) Aleksey Boyko (Ph.D. 2015 -> Google) Xiaobai Chen (Ph.D. 2014 -> Citadel) Vladimir Kim (Ph.D. 2013 -> Adobe Research Labs) Alex Golovinskiy (Ph.D. 2010 -> Google) Paul Calamia (Ph.D. 2009 -> MIT Lincoln Laboratory) Phil Shilane (Ph.D. 2008 -> EMC) Misha Kazhdan (Ph.D. 2004 -> Assoc Prof at John Hopkins) Patrick Min (Ph.D. 2004 -> Freelance) Rudro Samanta (Ph.D. 2002 -> Pixar) diff --git a/src/data/compiled_bios/2766.txt b/src/data/compiled_bios/2766.txt new file mode 100644 index 0000000000..ce0ca7178a --- /dev/null +++ b/src/data/compiled_bios/2766.txt @@ -0,0 +1 @@ + Donna S. Gabai Lecturer Address: 35 Olden Street, Princeton University, Princeton, NJ 08544 Email: dgabai AT cs DOT princeton DOT edu Office: 039 Corwin Hall Phone: 8-1978 MAT Occidental College 1998 MSE University of Pennsylvania 1980 BS Drexel University 1976 Courses taught at Princeton General Computer Science Introduction to Programming Systems Last modified: June 2018 diff --git a/src/data/compiled_bios/2767.txt b/src/data/compiled_bios/2767.txt new file mode 100644 index 0000000000..0adc0ccf0c --- /dev/null +++ b/src/data/compiled_bios/2767.txt @@ -0,0 +1 @@ + Maia Ginsburg Lecturer Department of Computer Science Office: CS 205 8-6484 Courses taught at Princeton (since 2006): COS126 COS226 Classroom Information diff --git a/src/data/compiled_bios/2768.txt b/src/data/compiled_bios/2768.txt new file mode 100644 index 0000000000..9382724b05 --- /dev/null +++ b/src/data/compiled_bios/2768.txt @@ -0,0 +1 @@ + Aarti Gupta Professor Department of Computer Science Princeton University 35 Olden Street, Princeton, NJ 08540-5233 Office: 220 Computer Science Phone: +1 609-258-8017 Fax: +1 609-258-1771 Email: aartig (at) cs (dot) princeton (dot) edu My research interests are in formal verification of systems, program analysis, and automatic decision procedures for logics. I am currently serving on the Steering Committee of the International Conference on Computer Aided Verification (CAV). I received a PhD in Computer Science from Carnegie Mellon University. Before joining the CS department at Princeton, I was at NEC Labs America where I led research in systems analysis and verification. At NEC, my group and I designed techniques for verifying programs, and helped in their successful deployment on large industrial software projects. Research Interests Formal verification, model checking, program analysis, logic decision procedures, SAT/SMT solvers Projects SyLVer : Synthesis, Learning, and Verification Instruction Level Abstraction (ILA): in collaboration with Sharad Malik group Minesweeper : in collaboration with Dave Walker and Ryan Beckett Group Graduate Students Weikun (William) Yang Lauren Pick Post-Doctoral Fellows Grigory Fedyukovich Visitor Students Yueling Zhang (ECNU, China) Publications On the DBLP server Teaching Fall 2018: COS IW09 (Independent Work Seminar) -- Programs Generating Programs Spring 2018: COS 598A (Advanced Topics in Computer Science) -- Advances in Verification Fall 2017: COS 516 / ELE 516 -- Automated Reasoning about Software Spring 2017: COS 217 -- Introduction to Programming Systems Fall 2016: COS 516 / ELE 516 -- Automated Reasoning about Software Spring 2016: COS 217 -- Introduction to Programming Systems Fall 2015: COS 597B (Advanced Topics in Computer Science) -- Automated Reasoning about Software Spring 2015: COS 217 -- Introduction to Programming Systems diff --git a/src/data/compiled_bios/2769.txt b/src/data/compiled_bios/2769.txt new file mode 100644 index 0000000000..845e70ce24 --- /dev/null +++ b/src/data/compiled_bios/2769.txt @@ -0,0 +1 @@ + Elad Hazan Princeton University Department of Computer Science Theoretical Machine Learning Co-Lead of Google AI Princeton Home Blog Research Publications Students Teaching Postdoc / other opportunities Contact I study the automation of the learning mechanism and its efficient algorithmic implementation. This study centers in the field of machine learning and touches upon mathematical optimization, game theory, statistics and computational complexity. For more details see my bio . Office hours: Tuesdays, 15:30-16:30 CS 409 Graduate text: link to more info and downloadable softcopy in pdf format (+ paperback option). Tutorial given at the Simons Institute, Berkeley: Optimization for Machine Learning diff --git a/src/data/compiled_bios/277.txt b/src/data/compiled_bios/277.txt new file mode 100644 index 0000000000..0910154701 --- /dev/null +++ b/src/data/compiled_bios/277.txt @@ -0,0 +1 @@ + Richard K. Squier, PhD Associate Professor St. Mary's Hall, 339 Computer Science Dept. Georgetown University Washington, DC 20057 Tel: 202-687-6027 Fax: 202-687-1835 email: squier at georgetown dot edu Bio CV Teaching Publications Other diff --git a/src/data/compiled_bios/2770.txt b/src/data/compiled_bios/2770.txt new file mode 100644 index 0000000000..9a14f719ed --- /dev/null +++ b/src/data/compiled_bios/2770.txt @@ -0,0 +1 @@ + Kyle Jamieson Department of Computer Science 35 Olden Street, Room 306 Princeton, NJ 08540 kylej at cs.princeton.edu, PGP key About Publications Teaching Talks Service I am an Associate Professor in the Department of Computer Science at Princeton University where I lead the PAWS Group , and adjunct Reader of Wireless Systems and Networks at University College London. Computer Science Undergraduate Independent Work project ideas (campus IP address and CS department user account required for access). This Spring semester I'm teaching an new undergraduate level class in Wireless Networks . Research My research interests are in all aspects of wireless networked systems, from the basic architecture of the wireless physical layer to high-level applications. The two main strands of work I have pursued involve bringing phased array signal processing indoors and improving the capacity of wireless networks in a world with many billions of wireless devices, most of which transmit in wireless spectrum that is unplanned by any central authority. For further information, see the Princeton Advanced Wireless Systems (PAWS) group website. Recruiting I am seeking graduate students and postdoctoral research associates with an interest in working on challenging open problems in wireless networks and systems to join the PAWS team. If you are interested, you must apply and be admitted to the graduate program at Princeton University. Because of the volume of mail I receive I regret that I'm not always able to reply to personal inquiries. diff --git a/src/data/compiled_bios/2771.txt b/src/data/compiled_bios/2771.txt new file mode 100644 index 0000000000..15ad1b114e --- /dev/null +++ b/src/data/compiled_bios/2771.txt @@ -0,0 +1 @@ + Home Teaching Publications About Alan Kaplan, PhD Lecturer Department of Computer Science Princeton University 35 Olden St. Princeton, NJ 08540 USA Email: ak18 at cs dot princeton dot edu Office: 221 Nassau St Room 105 ( map | streetview ) Telephone: +1.609.258.1745 Alan Kaplan joined the Department of Computer Science as a Lecturer in September 2014. His career spans academic research to industrial R&D to technology startup/entrepreneurship and he has over twenty years experience leading research and product development involving mobile software. Before joining Princeton, Dr. Kaplan was the Chief Technology Officer for Drakontas, a software company that develops a mobile command, control and collaboration platform, called DragonForce, for law enforcement, public safety and first responder agencies. Dr. Kaplan was formerly Department Head of Middleware and Software Technologies at the Panasonic Princeton Research Laboratory. Prior to Panasonic, he held faculty positions in computer science departments at Clemson University and Flinders University of South Australia. Dr. Kaplan holds a Ph.D. and M.S. in Computer Science from the University of Massachusetts Amherst and a B.S. in Computer Science from Duke University. He has significant experience in international standards development organizations, such as Open Mobile Alliance, Java Community Process and IEEE. In addition, he is an active volunteer in the IEEE Communications Society , serving on the Steering Committee for IEEE Communications Society Consumer Communications and Network Conference . He also served as Chair of the IEEE Communications Society GIMS (Globecom & ICC Management and Strategy) Committee . diff --git a/src/data/compiled_bios/2772.txt b/src/data/compiled_bios/2772.txt new file mode 100644 index 0000000000..54d4e378fc --- /dev/null +++ b/src/data/compiled_bios/2772.txt @@ -0,0 +1 @@ + Brian Kernighan Department of Computer Science Princeton University Princeton, NJ 08544 bwk cs princeton edu Millions, Billions, Zillions: Defending Yourself in a World of Too Many Numbers . With examples drawn from a rich variety of sources, including journalism, advertising, and politics, the book demonstrates how numbers can mislead and misrepresent. In chapters covering big numbers, units, dimensions, and more, it lays bare everything from deceptive graphs to speciously precise numbers, and shows how anyone -- using a few basic ideas and lots of shortcuts -- can easily learn to recognize common mistakes, determine whether numbers are credible, and make their own sensible estimates when needed. An essential survival guide for a world drowning in big -- and often bad -- data. Published by Princeton University Press in November, 2018. Available at Amazon . Translations into Korean, Chinese (PRC) and Japanese are underway. Understanding the Digital World: What You Need to Know about Computers, the Internet, Privacy, and Security explains how computer hardware, software, networks, and systems work. It includes enough detail that you can understand how these systems work, no matter what your technical background. The social, political and legal issues that new technology creates are discussed as well, so you can understand the difficult issues we face and appreciate the tradeoffs that have to be made to resolve them. Published by Princeton University Press . Now available at Amazon and other booksellers in both hardback and e-book form. Korean translation (August 2017, translated by Sungchang Ha); Chinese translation (March 2018, translated by ) The Go Programming Language , by Alan Donovan and Brian Kernighan. Book web site www.gopl.io . Available in paperback and e-book formats. Japanese, Chinese (Traditional), Russian, Korean, Portuguese and Polish translations are now available; Simplified Chinese will be available soon. Research Document preparation archaeology (updated Dec 13, 2013) AMPL modeling language for mathematical optimization Teaching COS 109, Fall 2018 COS 333, Spring 2018 Independent work and senior theses advice on independent work letters of recommendation Study Abroad FAQ Publications Bibliography Book home pages Million, Billions, Zillions Understanding the Digital World The Go Programming Language D is for Digital AMPL: A Modeling Language for Mathematical Programming The Practice of Programming The C Programming Language Original site, now seriously outdated The Unix Programming Environment The AWK Programming Language Daily Princetonian columns . Also available as a Kindle ebook . Erds-Bacon Number Parallel Universe mirror of Bell Labs home page from long ago Dennis Ritchie's home page at Bell Labs NAE Memorial Tribute for Dennis Ritchie Bell Labs 1127 alumni Bell Labs Research in 1995: (10 MB in 4 images) 1 2 3 4 Tue Jan 8 11:45:31 EST 2019 diff --git a/src/data/compiled_bios/2773.txt b/src/data/compiled_bios/2773.txt new file mode 100644 index 0000000000..68b7b09c0c --- /dev/null +++ b/src/data/compiled_bios/2773.txt @@ -0,0 +1 @@ + Zak Kincaid I'm an assistant professor at Princeton University . My main research interests are in program analysis and programming languages. Email: zkincaid@cs.princeton.edu Office: Computer Science Building, Room 219 Address: 35 Olden Street, Princeton, NJ 08540 Office hours : Tuesday 4-5pm. publications | teaching | students | activities | etc | github | dblp news 2/4: I'll be teaching COS 320: Compiling Techniques this spring. 11/18: A Practical Algorithm for Structure Embedding , with Charlie Murphy to appear at VMCAI 2019 . 10/9: Two papers with Jason Breck, John Cyphert, and Tom Reps to appear at POPL'19 : Closed Forms for Numerical Loops Refinement of Path Expressions for Static Analysis 9/7: I'll be teaching COS 516: Automated Reasoning about Software this fall. 3/28: I'll be co-chairing colocated events for POPL'19 with Marco Gaboardi . 2/3: I'll be speaking at SAS'18 on numerical invariant generation. selected publications (full list at dblp ) A Practical Algorithm for Structure Embedding with Charlie Murphy . VMCAI 2019. This paper presents an algorithm for the structure embedding problem : given two finite first-order structures over a common relational vocabulary, does there exist an injective homomorphism from one to the other? The structure embedding problem is NP-complete in the general case, but for monadic structures (each predicate has arity at most 1) we observe that it can be solved in polytime by reduction to bipartite graph matching. Our algorithm, MatchEmbeds, extends the bipartite matching approach to the general case by using it as the foundation of a backtracking search procedure. We show that MatchEmbeds outper- forms state-of-the-art SAT, CSP, and subgraph isomorphism solvers on difficult random instances and significantly improves the performance of a client model checker for multi-threaded programs. PDF Closed Forms for Numerical Loops with Jason Breck, John Cyphert, and Tom Reps . POPL 2019. This paper investigates the problem of reasoning about non-linear behavior of simple numerical loops. Our approach builds on classical techniques for analyzing the behavior of linear dynamical systems. It is well-known that a closed-form representation of the behavior of a linear dynamical system can always be expressed using algebraic numbers, but this approach can create formulas that present an obstacle for automated-reasoning tools. This paper characterizes when linear loops have closed forms in simpler theories that are more amenable to automated reasoning. The algorithms for computing closed forms described in the paper avoid the use of algebraic numbers, and produce closed forms expressed using polynomials and exponentials over rational numbers. We show that the logic for expressing closed forms is decidable, yielding decision procedures for verifying safety and termination of a class of numerical loops over rational numbers. We also show that the procedure for computing closed forms for this class of numerical loops can be used to over-approximate the behavior of arbitrary numerical programs (with unrestricted control flow, non-deterministic assignments, and recursive procedures). PDF Refinement of Path Expressions for Static Analysis with John Cyphert, Jason Breck, and Tom Reps . POPL 2019. Algebraic program analyses compute information about a program's behavior by first (a) computing a valid path expression and then (b) interpreting the path expression in a semantic algebra that defines the analysis. There are an infinite number of different regular expressions that qualify as valid path expressions, which raises the question: which one should we choose? While any choice yields a sound result, for many analyses the choice can have a drastic effect on the precision of the results obtained. In this paper, we develop an algorithm that takes as input a valid path expression E, and returns a valid path expression E' that is guaranteed to yield analysis results that are at least as good as those obtained using E. PDF Non-Linear Reasoning For Invariant Synthesis with Jason Breck, John Cyphert, and Tom Reps . POPL 2018. An appealing approach to non-linear invariant generation is to exploit the powerful recurrence-solving techniques that have been developed in the field of computer algebra. However, there is a gap between the capabilities of recurrence solvers and the needs of program analysis: (1) loop bodies are not merely systems of recurrence relations---they may contain conditional branches, nested loops, non-deterministic assignments, etc., and (2) a client program analyzer must be able to reason about the closed-form solutions produced by a recurrence solver (e.g., to prove assertions). This paper presents a method for generating non-linear invariants for general loops by analyzing recurrence relations. The key components are an abstract domain for reasoning about non-linear arithmetic, a semantics-based method for extracting recurrence relations from loop bodies, and a recurrence solver that avoids closed forms that involve complex or irrational numbers. PDF Slides Strategy Synthesis for Linear Arithmetic Games with Azadeh Farzan . POPL 2018. This paper studies the strategy synthesis problem for games defined within the theory of linear rational arithmetic. Two types of games are considered. A satisfiability game , described by a quantified formula, is played by two players that take turns instantiating quantifiers. The objective of each player is to prove (or disprove) satisfiability of the formula. A reachability game , described by a pair of formulas defining the legal moves of each player, is played by two players that take turns choosing positions---rational vectors of some fixed dimension. The objective of each player is to reach a position where the opposing player has no legal moves (or to play the game forever). We give a complete algorithm for synthesizing winning strategies for satisfiability games and a semi-algorithm for synthesizing winning strategies for reachability games. PDF Slides A Symbolic Decision Procedure for Symbolic Alternating Automata with Loris D'Antoni , and Fang Wang. MFPS 2017. We introduce Symbolic Alternating Finite Automata (s-AFA) as a succinct and decidable model for describing sets of finite sequences over arbitrary alphabets. Boolean operations over s-AFAs have linear complexity, which contrasts the quadratic cost of intersection and union for non-alternating symbolic automata. Due to this succinctness, emptiness and equivalence checking are PSpace-hard. We introduce an algorithm for checking the equivalence of two s-AFAs based on bisimulation up to congruence. This algorithm exploits the power of SAT solvers to efficiently search the state space of the s-AFAs. PDF Compositional Recurrence Analysis Revisited with Jason Breck, Ashkan Boroujeni, and Tom Reps . PLDI 2017. Compositional recurrence analysis (CRA) is a static-analysis method based on a combination of symbolic analysis and abstract interpretation. CRA computes the meaning of a procedure following Tarjans path-expression method: first compute a regular expression recognizing a set of paths through the procedure, then interpret that regular expression within a suitable semantic algebra. This paper introduces ICRA, an extension of CRA to recursive procedures. ICRA overcomes the impedance mismatch between CRA, which relies on representing program paths with regular languages, and the context-free-language underpinnings of context-sensitive analysis. PDF Slides Linear Arithmetic Satisfiability via Strategy Improvement with Azadeh Farzan . IJCAI 2016. This article presents a decision procedure for the theory of linear rational arithmetic (and linear integer arithmetic), including quantifiers. The algorithm is based on synthesizing winning strategies for quantified formulas (interpreted as satisfiability games) by mutual strategy improvement. PDF Slides Proving Liveness of Parameterized Programs with Azadeh Farzan and Andreas Podelski . LICS 2016. Correctness of multi-threaded programs typically requires that they satisfy liveness properties. For example, a program may require that no thread is starved of a shared resource, or that all threads eventually agree on a single value. This paper presents a method for proving that such liveness properties hold. Two particular challenges addressed in this work are that (1) the correctness argument may rely on global behaviour of the system (e.g., the correctness argument may require that all threads collectively progress towards "the good thing" rather than one thread progressing while the others do not interfere), and (2) such programs are often designed to be executed by any number of threads, and the desired liveness properties must hold regardless of the number of threads that are active in the program. PDF Slides Compositional Recurrence Analysis with Azadeh Farzan . FMCAD 2015. This paper presents a new method for automatically generating numerical invariants for imperative programs. The procedure computes a transition formula which over-approximates the behaviour of a given input program. It is compositional in the sense that it operates by decomposing the program into parts, computing a transition formula for each part, and then composing them. Transition formulas for loops are computed by extracting recurrence relations from a transition formula for the loop body and then computing their closed forms. Experimentation demonstrates that this method is competitive with leading verification techniques. PDF Slides Spatial Interpolants with Aws Albarghouthi , Josh Berdine , and Byron Cook . ESOP 2015. We propose SplInter, a new technique for proving properties of heap-manipulating programs that marries (1) a new separation logic-based analysis for heap reasoning with (2) an interpolation-based technique for refining heap-shape invariants with data invariants. SplInter is property directed , precise , and produces counterexample traces when a property does not hold. Using the novel notion of spatial interpolants modulo theories , SplInter can infer complex invariants over general recursive predicates, e.g., of the form "all elements in a linked list are even" or "a binary tree is sorted." PDF Proof Spaces for Unbounded Parallelism with Azadeh Farzan and Andreas Podelski . POPL 2015. In this paper, we describe proof spaces, a proof system for verifying safety properties for multi-threaded programs in which the number of executing threads is not statically bounded. Our development of this proof system is motivated by the question of how to generalize a proof of correctness (perhaps obtained from a verifier for sequential programs) of a some finite set of example traces so that the correctness argument applies to all traces of the program. We show that proof spaces are complete relative to the inductive assertion method, and give algorithms for automating them. PDF Slides Consistency Analysis of Decision-Making Programs with Swarat Chaudhuri and Azadeh Farzan . POPL 2014. Applications in many areas of computing make discrete decisions under uncertainty ; for example, the application may rely on limited numerical precision in input, or on input or sensory data. While an application executing under uncertainty cannot be relied upon to make decisions which are correct with respect to a given world, it is desirable that their decisions are at least consistent (i.e., correct with respect to some possible world). This paper presents a sound, automatic program analysis for verifying program consistency. PDF Proofs that count with Azadeh Farzan and Andreas Podelski . POPL 2014. Counting arguments are among the most basic methods of proof in mathematics. Within the field of formal verification, they are useful for reasoning about programs with infinite control , such as programs with an unbounded number of threads, or (concurrent) programs with recursive procedures. While counting arguments are common in informal, hand-written proofs of such programs, there are no fully automated techniques to construct counting arguments. The key questions involved in automating counting arguments are: how to decide what should be counted? , and how to decide when a counting argument is valid? In this paper, we present a technique for automatically constructing and checking counting arguments, which includes novel solutions to these questions. PDF Slides Symbolic Optimization with SMT solvers with Yi Li , Aws Albarghouthi , Arie Gurfinkel and Marsha Chechik . POPL 2014. The rise in efficiency of Satisfiability Modulo Theories (SMT) solvers has created numerous uses for them in programming languages: software verification, program synthesis, functional programming, refinement types, etc. SMT solvers are effective at finding arbitrary satisfying assignments for formulae, but for some applications it is necessary to find an assignment that optimizes (minimizes/maximizes) certain criteria. We present an efficient SMT-based optimization algorithm for objective functions in the theory of linear real arithmetic. PDF Duet: static analysis for unbounded parallelism with Azadeh Farzan . CAV 2013. Duet is a static analysis tool for concurrent programs in which the number of executing threads is not statically bounded. It has a modular architecture, which is based on separating the invariant synthesis problem in two subtasks: (1) data dependence analysis, which is used to construct a data flow model of the program, and (2) interpretation of the data flow model over a (possibly infinite) abstract domain, which generates invariants. This separation of concerns allows researchers working on data dependence analysis and abstract domains to combine their efforts toward solving the challenging problem of static analysis for unbounded concurrency. PDF Recursive program synthesis with Aws Albargouthi and Sumit Gulwani . CAV 2013. Program synthesis from input-output examples has the power of extending the range of computational tasks achievable by end-users who have no programming knowledge, but can articulate their desired computations by describing input-output behaviour. In this paper we present Escher, an algorithm that interacts with the user via input-output examples to synthesize recursive programs. Escher is parameterized by the components that can be used in the program, thus providing a generic synthesis algorithm that can be instantiated to suit different domains. Escher adopts a novel search strategy through the space of programs that utilizes special datastructures for inferring conditionals and synthesizing recursive procedures. PDF Inductive data flow graphs with Azadeh Farzan and Andreas Podelski . POPL 2013. We propose inductive data flow graphs, data flow graphs with incorporated inductive assertions, as the basis of an approach to verifying concurrent programs. An inductive data flow graph accounts for a set of dependencies between program events, and therefore stands as a representation for the set of executions which give rise to these dependencies. By representing information about dependencies rather than control flow, inductive data flow graphs can yield very succinct proofs. Our strategy for verifying concurrent programs defers reasoning about control to the proof checking step, a purely combinatorial problem, thus avoiding the need to reason about data and control simultaneously. PDF Slides Verification of parameterized concurrent programs by modular reasoning about data and control with Azadeh Farzan . POPL 2012. We consider the problem of verifying thread-state properties of multithreaded programs in which the number of active threads cannot be statically bounded. Our approach is based on decomposing the task into two modules, where one reasons about data and the other reasons about control. The two modules are incorporated into a feedback loop, so that the abstractions of data and control are iteratively coarsened as the algorithm progresses (that is, they become weaker) until a fixed point is reached. This version fixes some typographical errors that appeared in the printed version - thanks to Chinmay Narayan, Suvam Mukherjee, and Deepak D'Souza for finding them. PDF Slides Compositional bitvector analysis for concurrent programs with nested locks with Azadeh Farzan . SAS 2010. We propose a new technique for bitvector data flow analysis for concurrent programs. Our algorithm works for concurrent programs that synchronize via nested locks. We give a compositional algorithm that first computes thread summaries and then efficiently combines them to solve the dataflow analysis problem. We show that this algorithm computes precise solutions (meet over all paths) to bitvector problems. PDF Slides teaching Spring 2019 - COS 320: Compiling techniques Past: Fall 2018 - COS 516 / ELE 516: Automated Reasoning about Software Spring 2018 - COS IW 06: Little Languages and COS IW 07: Practical Solutions to Intractable Problems Spring 2017 - COS IW 08: Practical solutions to intractable problems . Fall 2016 - COS 597D: Reasoning about concurrent systems . students Charlie Murphy Jake Silverman activities POPL 2019-2020: Workshop co-chair. OBT 2018: Program Committee. CAV 2018: Program Committee. VSTTE 2017: Program Committee. CAV 2017: Program Committee. PLDI 2017: Program Committee. POPL 2017: Program Committee. CAV 2016: Workshop chair/Program Committee. PLDI 2016: External Review Committee. TACAS 2016: Program Committee. SSS 2015: Program Committee Tiny Transactions on Computer Science vol. 3.: Program Committee PLDI 2014: Artifact Evaluation Committee the rest Slides for POPL'18 tutorial on algebraic program analysis: background | intraprocedural analysis | interprocedural analysis (coming soon) | iteration domains I received my PhD from the University of Toronto . My adviser was Azadeh Farzan . Some of my work is implemented in the Duet program analyzer. What I'm listening to . My Erds number is 3 . Chinmay Narayan has typeset a FAQ for our POPL12 paper. diff --git a/src/data/compiled_bios/2774.txt b/src/data/compiled_bios/2774.txt new file mode 100644 index 0000000000..a71eb50739 --- /dev/null +++ b/src/data/compiled_bios/2774.txt @@ -0,0 +1 @@ + Andrea S. LaPaugh Professor, Department of Computer Science, e-mail: aslp at cs dot dot edu phone: (609) 258-4568 fax: (609) 258-1771 US Mail: Dept. of Computer Science 35 Olden St. Princeton University Princeton, NJ 08540 Princeton University Research Areas Information Discovery for large-scale digital collections Today's extremely large collections of digital information present problems in the management, retrieval, and analysis of information. The Web is particularly a problem because anyone and everyone can put (good and bad) information on the Web. How can the providers of search and data organization services do better in providing relevant and trustworthy information? What new information can be gleaned from digital collections through their structure and interrelationships? How can the information from social networks be used to enhance the analysis of information? The research to find answers to these questions has both a strong algorithm design component and a strong systems component, the latter stemming from the need for distributed computing methods to efficiently work with the huge amount of data being created. Computer-Aided Design (CAD) of Digital Systems Professor LaPaugh has worked extensively in the development of algorithms for problems in digital design. A major area of research has been VLSI circuit layout: investigating the interactions between placement and detailed routing. She has developed algorithms that use these interactions to find better placements for circuit components. An important application of the work is in the placement of hierarchically defined layouts. Another focus of Professor LaPaugh's research has been in the synthesis and verification of digital systems from high-level descriptions. One project in this area was the representation and verification of timing requirements for asynchronous digital systems. Another was the scheduling of program iterations on hardware (software pipelining). Professor LaPaugh has explored the relationship between techniques used by hardware synthesis and program compilation. Many issues are shared by compiler writers for multi-issue machines and synthesis tool writers for special-purpose hardware. Algorithm Foundations Much of Professor LaPaugh's work is based on the principles of combinatorial algorithm design. In addition to her work in application areas, she has developed and analyzed algorithms for theoretical combinatorial problems such as graph structure problems. Recent Teaching COS 435: Information Retrieval, Discovery, and Delivery, spring 2012 - 2016 COS 597: Principles of Database and Information Systems , fall 2011, fall 2013 FRS 125: Freshman seminar "Friending, Following & Finding", fall 2012 COS 126: General Computer Science: An Interdisciplinary Approach, preceptor fall 2014, fall 2015 COS IW01: Junior/Senior Independent Work Seminar: Analyzing relationship networks: social networks and beyond, fall2015 of general interest: Resources for Projects in Information Retrieval, Data Mining and Complex Network Analysis Works Selected Publications Ph.D. dissertations advised last updated Mon Jul 25 16:44:18 EDT 2016 diff --git a/src/data/compiled_bios/2775.txt b/src/data/compiled_bios/2775.txt new file mode 100644 index 0000000000..6bb876133a --- /dev/null +++ b/src/data/compiled_bios/2775.txt @@ -0,0 +1 @@ + Kai Li Paul M. Wythes '55, P'86 and Marcia R. Wythes P'86 Professor Department of Computer Science Address Department of Computer Science Princeton University 35 Olden Street Princeton, New Jersey 08540 Phone: (609) 258-4637 Fax: (609) 258-1771 Email: LastName at cs dot Princeton dot edu Administrative Assistant Barbara Varga Department of Computer Science Princeton University 35 Olden Street Princeton, New Jersey 08540 Phone: (609) 258-4651 Fax: (609) 258-1771 Email: bjvarga at cs dot Princeton dot edu Research Recent research projects: CASS , ImageNet , PARSEC , MindEye CV Ph.D. Graduates Mark Greenstreet Thesis : STARI: A Technique for High-Bandwidth Communication , Januaray 1993. James Plank . Thesis: Efficient Checkpointing on MIMD Architectures , June 1993. Karin Petersen-Flynn Thesis : Operating Systems Support for Modern Memory Hierarchies , October 1993. Pei Cao . Thesis: Application-Controlled File Caching and Prefetching , January 1996. Matthias Blumrich . Thesis: Network Interface for Protected, User-Level Communication , June 1996. Stefanos N. Damianakis . Thesis: Efficient Connection-Oriented Communication on High-Performance Networks . June 1998. Liviu Iftode . Thesis: Home-Based Shared Virtual Memory , June 1998. Bin Wei. Thesis: A Multiple-Port Distributed Frame Buffer on Multicomputers , November 1998. Yuanyuan Zhou . Thesis: Memory Management for Networked Servers , November 2000. Yuqun Chen. Thesis: Building A Scalable High-Resolution Display Wall , January 2001. Sanjeev Kumar . Thesis: ESP: A Language for Programmable Devices , June 2002. Han Chen , Thesis : Scalable and Ultra-High Resolution MPEG Video Delivery on Tiled Displays, September 2003. Qin (Christine) Lv , Thesis : Similarity Search for Large-Scale Image Datasets, November 2006. Zhiyan (Cathy) Liu. Thesis: Scalable Isosurface Visualization, May 2008. Matthew Hibbs (co-advised with Prof. Olga Troyanskaya ). Thesis: Analysis and Visualization of Large-Scale Gene Expression Microarray Compendia, May 2007. Junwen Lai (co-advised with Dr. Randy Wang). Thesis: Virtualizing Network File Systems, November 2008. Christian Bienia . Thesis: Benchmarking Modern Multiprocessors, 2010. William Josephson . Thesis: A Direct-Access File System for a New-Generation of Flash Memory, 2011. Wei Dong. Thesis: High-Dimensional Similarity Search for Large Datasets, 2011. Zhe Wang. Thesis: Similarity Search with Multimodal Data, 2011. Jia Deng (co-advised with Prof. Fei-Fei Li) Thesis : Large Scale Visual Recognition, 2012. Yida Wang. Thesis: Large-Scale Analysis of Functional Interactions in the Human Brain, 2016. Qian Zhu (co-advised with Prof. Olga Troyanskaya). Thesis: Detecting Gene Similarities using Large-Scale Content-Based Search Systems, 2016. Current Ph.D. Advisees Linpeng Tang Sachin Ravi (co-advised with Prof. Jonathan Cohen) Li-Fang Cheng (co-advised with Prof. Barbara Engelhardt) Daniel Suo Yushan Su Zhenyu Song (co-adivsed with Prof. Wyatt Floyd) Current Postdocs Zhen Jia Kevin Tian (visiting) diff --git a/src/data/compiled_bios/2776.txt b/src/data/compiled_bios/2776.txt new file mode 100644 index 0000000000..1b984bc765 --- /dev/null +++ b/src/data/compiled_bios/2776.txt @@ -0,0 +1 @@ + Xiaoyan Li Lecturer Department of Computer Science Princeton University Email: xiaoyan Phone: (609) 258-7844 Office: 221 Nassau Street (room 104) Education Ph.D. in Computer Science, Department of Computer Science , University of Massachusetts at Amherst, 09/2006 Thesis: Sentence Level Information Patterns for Novelty Detection Advisor: W. Bruce Croft , Distinguished Professor of Computer Science MS in Computer Science, Department of Computer Science , University of Massachusetts at Amherst, 07/2006 MS of Management Information Systems, School of Economics and Management , Tsinghua University , Beijing, 06/1996 BS of Management Information Systems, School of Economics and Management, Tsinghua University, Beijing, 06/1992 Research Interests Question answering, cross-lingual question answering Information retrieval models and Novelty detection techniques Machine learning algorithms Teaching (at Princeton) COS402 Artificial Intelligence (2014, 2013, 2012) COS424 Interacting with Data (2013, 2012) COS436 Human-Computer Interface Technology (2013) Teaching (at Mount Holyoke College) Spring 2008 CS-102, Object Oriented Programming (in Java) CS-336, Intelligent Information Retrieval Fall 2007 CS-211 Data Structures (with C++) CS-311 Theory of Computation Spring 2007 CS-100 Introduction to Computer Science CS-341 Data Mining Fall 2006 CS-311 Theory of Computation CS-101, Problem-Solving and Structured Programming Publications 1. Li, X. and Zhu, Z, Enhancing Relevance Models with Adaptive Passage Retrieval , the 30th European Conference on Information Retrieval (ECIR 2008) ,Glasgow, Scotland, 30th March - 3rd April 2008 , C. Macdonald et al. (Eds.): ECIR 2008, LNCS 4956, pp. 463-471, Springer-Verlag Berlin Heidelberg 2008. 2. Li, X., A new robust relevance model in the language model framework , Information Processing and Management (2007), doi:10.1016/j.ipm.2007.07.005 3. Li, X. and Croft, W. B., An information pattern based approach to novelty detection , Information Processing and Management (2007), doi:10.1016/j.ipm.2007.09.013 4. Li, X., Robust Relevance-Based Language Models , in the Proceedings of the Fourth IASTED International Conference on Communications, Internet and Information Technology (CIIT 2006) , November 29-December 1, 2006, St. Thomas, US Virgin Islands. pp. 341-348 5. Li, X., Sentence Level Information Patterns for Novelty Detection , PhD Thesis, Department of Computer Science, University of Massachusetts, Amherst, September, 2007. 6. Li, X. and Croft, W.B., Improving Novelty Detection for General Topics Using Sentence Level Information Patterns , in the Proceedings of ACM Fifteenth Conference on Information and Knowledge Management (CIKM06), Arlington, VA,USA, November 6 - 11, 2006, oral presentation, acceptance rate 15% 7. Li, X. and Croft, W.B., Novelty Detection Based on Sentence Level Patterns , in Proceedings of ACM Fourteenth Conference on Information and Knowledge Management (CIKM), Bremen, Germany, 31st October - 5th November, 2005, pp. 744-751 8. Li, X., Improving the Robustness of Relevance-Based Language Models , CIIR Technical Report, IR-401 , Department of Computer Science, University of Massachusetts Amherst, 2005. 9. Abdul-Jaleel, N., Allan, J., Croft, W. B., Diaz, F., Larkey, L., Li, X., Smucker, M. D. and Wade, C., UMass at TREC 2004: Novelty and HARD , in the Online Proceedings of 2004 Text REtrieval Conference (TREC 2004). 10. Li, X. and Croft, W. B., An Answer Updating Approach to Novelty Detection , CIIR Technical Report, IR-359 , Department of Computer Science, University of Massachusetts Amherst, 2004. 11. Li, X., Syntactic Features in Question Answering , in Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Toronto, Canada July 28th - August 1st, 2003, pp.455-456 12. Li, X. and Croft, W.B., Time-Based Language Models , in the Proceedings of ACM 12th Conference on Information and Knowledge Management (CIKM) 2003, pp. 469-475. 13. ? Li, X. and Croft, W. B., The Impact of Syntactic Evidence on the Effectiveness of Question Answering , CIIR Technical Report, IR-246 , Department of Computer Science, University of Massachusetts Amherst, 2002. 14. Li, X. and Croft, W.B., Incorporating Syntactic Information in Question Answering , CIIR Technical Report, IR-239 , Department of Computer Science, University of Massachusetts Amherst, 2001. 15. Li, X. and Croft, W.B., Evaluating Question Answering Techniques in Chinese , in Proceedings of Human Language Technology Conference (HLT-2001), San Diego, March 18-21 , pp. 201-206 16. Allan, J., Connell, M., Croft, W.B., Feng, F., Fisher, D. and Li, X., INQUERY and TREC-9 , in Proceedings of 2000 Text Retrieval Conference (TREC-9) , pp. 551-577 Presentations and Talks " Improving Novelty Detection for General Topics Using Sentence Level Information Patterns ," ACM Fifteenth Conference on Information and Knowledge Management (CIKM06), Arlington, VA 22202 USA , November 6-11, 2006 (oral presentation ) "Novelty Detection Based on Sentence Level Patterns," ACM Fourteenth Conference on Information and Knowledge Management (CIKM), Bremen, Germany, 31st October - 5th November, 2005 (oral presentation ) "Syntactic Features in Question Answering," the 26 th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval , Toronto, Canada July 28 th - August 1 st , 2003 (poster presentation) "Time-Based Language Models," the 2003 ACM CIKM International Conference on Information and Knowledge Management , New Orleans, Louisiana, November 2-8, 2003 (oral presentation ) "Evaluating Question Answering Techniques in Chinese," Human Language Technology Conference (HLT-2001) , San Diego, March 18-21, 2001 (poster presentation) diff --git a/src/data/compiled_bios/2777.txt b/src/data/compiled_bios/2777.txt new file mode 100644 index 0000000000..69522d39a3 --- /dev/null +++ b/src/data/compiled_bios/2777.txt @@ -0,0 +1 @@ + Wyatt Lloyd About Me Research Publications Teaching Acknowledgments Distributed Systems Professor SVE to appear at SOSP '17! Chess appeared at ATC '17! Occult appeared at NSDI '17! I co-lead the S* Network Systems (SNS) group with Mike Freedman in the CS department at Princeton. I also co-advise two students with Ethan Katz-Bassett in an initiative to specialize distributed systems and networking for large applications deployed in datacenters. I am interested in the theory, design, implementation, evaluation, and deployment of large-scale distributed systems. Keywords like big data, storage, consistency, geo-replication, consensus, concurrency control, and fault tolerance pique my interest. One of my research directions looks at the tradeoffs between the guarantees and performance properties of distributed systems. Guarantees like consistency and transactional abilities make systems easier to reason about and program against. Performance properties like latency and throughput affect end user experience and the capital cost of systems. We're exploring what combinations of power and performance are and aren't possible. The SNOW Theorem , Janus , and Occult are our most recent work in this area, which also includes Existential Consistency , Consistency Challenges , Rococo , Eiger , and COPS . Another of my research directions looks at understanding and improving media processing, storage, and delivery at massive scale. RIPQ and extensions from deploying it in practice at Facebook described in this blog post are our most recent published work in this area, which also includes f4 and a study of the Facebook photo caching stack . Most of this work focused on photos, and we're currently exploring the new challenges posed by videos. Wyatt Lloyd Assistant Professor Princeton University wlloyd@princeton.edu All of this research is made possible by my fantastic students: Current Students PhD Haonan Lu Khiem Ngo Chris Hodsdon e Theano Stavrinos e Zhenyu Song k Jeffrey Helt MS Jennifer Lam Undergrad Noah Beattie-Moss (2019) Facebook Vignesh Rajendran (2019) Parker Wild (2019) Scholar in the Nation's Service Fellow Audrey Cheng (2020) Past Students MS Mohsin Ali e (USC 2016) Facebook Abhinav Sharma (USC 2016) Facebook Jamie Tsao e (USC 2016) Google Undergrad Yousif Aldolaijan (USC) Sam Thomas (Cornell, USC visitor) Roberto Gonzalez (East LA College, USC visitor) Cal Poly Pomona Matt Burke (USC 2017) Cornell PhD Program Trevor Cai (USC 2017) DeepMind/Alphabet Brian Goodchild e (RU-Camden 2017, USC visitor) Columbia PhD Program Chris Hodsdon (RU-Camden 2016, USC visitor) Princeton PhD Program Cary Jiang Rice Undergrad I am also privileged to work closely with other great students including: Zahaib Aktar (USC PhD) Jose M. Faleiro (Yale PhD) Linpeng Tang (Princeton PhD) Co-founder and CTO of Moqi, Inc. S.Akbar Mehdi (UT Austin PhD) Xing Xu (USC PhD 2017) Google Shuai Mu (Tsinghua PhD 2015) NYU PostDoc Assistant Professor at Stony Brook diff --git a/src/data/compiled_bios/2778.txt b/src/data/compiled_bios/2778.txt new file mode 100644 index 0000000000..d2daa3c93c --- /dev/null +++ b/src/data/compiled_bios/2778.txt @@ -0,0 +1 @@ + Margaret Martonosi Hugh Trumbull Adams '35 Professor of Computer Science Dept. of Computer Science Director, Keller Center for Innovation in Engineering Education Princeton University Other Affiliations: Andrew Dickson White Visiting Professor-At-Large, Cornell University Research Interests: Computer Architecture, Mobile Computing, and Hardware-Software Interface issues. Current focus in Heterogeneous parallelism, Correctness and Security verification, and Quantum Computing. Mailing Address: Dept. of Computer Science, Room 208 35 Olden St. Princeton, NJ 08540-5233 Contact Information: E-mail : mrm AT princeton.edu Office : (609) 258-1912 (But email is the better way to reach me!) Brief Bio and Full CV Research Projects The Check Tool Suite : Programmability, Correctness and Security Issues in Heterogeneous Multiprocessor and Mobile Systems DECADES Project : DARPA SDH Project to achieve high-performance and power-efficiency through tile-based compute and memory configurability. Quantum Computing Architectures , compilers, and debugging. Funded in part via EPIQC : An NSF Expedition in Computing project to enable practical Quantum Computing. Publications List Recent Courses COS375: Computer Architecture COS IW02:Policy Issues in the Internet-of-Things CS 583: Great Moments in Computing Course syllabus, readings, and example projects. Offered alternating spring semesters. General Press Current Students Yatin Manerkar Aninda Manocha Prakash Murali Themis Melissaris Caroline Trippel Current Post-Docs Dr. Yipeng Huang Dr. Luwa Matthews Dr. Tyler Sorensen Past Graduate Students and Post-Docs diff --git a/src/data/compiled_bios/2779.txt b/src/data/compiled_bios/2779.txt new file mode 100644 index 0000000000..56e653e336 --- /dev/null +++ b/src/data/compiled_bios/2779.txt @@ -0,0 +1 @@ + Christopher M. Moretti Lecturer (Teaching Faculty Member) Department of Computer Science Princeton University Office: 036 Corwin Hall Work #: (609)-258-5388 Home #: (574)-261-4923 Email: cmoretti@cs.princeton.edu diff --git a/src/data/compiled_bios/278.txt b/src/data/compiled_bios/278.txt new file mode 100644 index 0000000000..6e43d0ad0c --- /dev/null +++ b/src/data/compiled_bios/278.txt @@ -0,0 +1 @@ + By recursively applying our composition theorems, we obtain a nearly optimal $\tilde{O}(n^{1-2^{-d}})$ upper bound on the quantum query complexity and approximate degree of linear-size depth-$d$ AC$^0$ circuits. As a consequence, such circuits can be PAC learned in subexponential time, even in the challenging agnostic setting. Prior to our work, a subexponential-time algorithm was not known even for linear-size depth-3 AC$^0$ circuits. We also show that any substantially faster learning algorithm will require fundamentally new techniques. Second, for any $\delta>0$, we exhibit a function $f \colon \{-1, 1\}^n \to \{-1, 1\}$ that is computed by a circuit of depth $O(1/\delta)$ and is hard to approximate by polynomials in the following sense: $f$ cannot be uniformly approximated to error $\epsilon=1-2^{-\Omega(n^{1-\delta})}$, even by polynomials of degree $n^{1-\delta}$. Our recent prior work (Bun and Thaler, FOCS 2017) proved a similar lower bound, but which held only for error $\epsilon=1/3$. Our result implies $2^{\Omega(n^{1-\delta})}$ lower bounds on the complexity of AC$^0$ under a variety of basic measures such as discrepancy, margin complexity, and threshold weight. This nearly matches the trivial upper bound of $2^{O(n)}$ that holds for every function. The previous best lower bound on AC$^0$ for these measures was $2^{\Omega(n^{1/2})}$ (Sherstov, FOCS 2015). Additional applications in learning theory, communication complexity, and cryptography are described. Our argument is public coin, so we apply the Fiat-Shamir heuristic to produce a zero-knowledge succinct non-interactive argument of knowledge (zkSNARK), which we call Hyrax. We evaluate Hyrax on three benchmarks: SHA-256 Merkle trees, image transformation, and matrix multiplication. We find that Hyrax's proofs are 210x smaller than prior work with similar properties, and that Hyrax scales to 627x larger circuits than a highly-optimized prior system that requires trusted setup. We resolve or nearly resolve the approximate degree and quantum query complexities of several basic functions. Specifically, we show the following: We take a step toward showing that all of these complexity measures indeed exhibit a chasm at depth three. Specifically, for any arbitrarily small constant $\delta > 0$, we exhibit a depth three circuit of polynomial size (in fact, an $O(\log n)$-decision list) of complexity $\exp(\Omega(n^{1/2-\delta}))$ under each of these measures. Our methods go beyond the block-composed functions studied in prior work, and hence may not be subject to the same barriers. In particular, we suggest natural candidate functions that may exhibit stronger bounds, of the form $\exp(\tilde{\Omega}(n))$, where the notation hides factors polylogarithmic in $n$. This paper describes a new VA system, called Giraffe; charges Giraffe for all three costs; and identifies regimes where outsourcing is worthwhile. Giraffes base is an interactive proof geared to data parallel computation. Giraffe makes this protocol asymptotically optimal for the prover, which is of independent interest. Giraffe also develops a design template that produces hardware designs automatically for a wide range of parameters, introduces hardware primitives molded to the protocols data flows, and incorporates program analyses that expand applicability. Giraffe wins even when outsourcing several tens of sub-computations, scales to 500x larger computations than prior work, and can profitably outsource parts of programs that are not worthwhile to outsource in full. Our algorithm improves on two theoretical and practical aspects of prior work. First, it handles weighted updates in amortized constant time, a common requirement in practice. Second, it uses a simple and fast method for merging summaries that asymptotically improves on prior work even for unweighted streams. We describe experiments confirming that our algorithms are more efficient than prior proposals. Specifically, we show how to transform any Boolean function $f$ with approximate degree $d$ into a function $F$ on $O(n \cdot \text{polylog}(n))$ variables with approximate degree at least $D = \Omega(n^{1/3} \cdot d^{2/3})$. In particular, if $d= n^{1-\Omega(1)}$, then $D$ is polynomially larger than $d$. Moreover, if $f$ is computed by a polynomial-size Boolean circuit of constant depth, then so is $F$. By recursively applying our transformation, for any constant $\delta > 0$ we exhibit an AC$^0$ function of approximate degree $\Omega(n^{1-\delta})$. This improves over the best previous lower bound of $\Omega(n^{2/3})$ due to Aaronson and Shi (J. ACM 2004), and nearly matches the trivial upper bound of $n$ that holds for any function. Our lower bounds also apply to (quasipolynomial-size) DNFs of polylogarithmic width. We describe several applications of these results. We give: The technical core of our results is a stronger hardness amplification theorem for approximate degree, which roughly says that composing the gapped-majority function with any function of high approximate degree yields a function with high threshold degree. The algorithm runs in polynomial-time (in $n$) with respect to any distribution on $\mathbb{S}^{n-1}$ (the unit sphere in $n$ dimensions) and for any error parameter $\epsilon=\Omega(1/\log n)$ (this yields a PTAS for a question raised by F. Bach on the complexity of maximizing ReLUs). These results are in contrast to known efficient algorithms for reliably learning linear threshold functions, where $\epsilon$ must be $\Omega(1)$ and strong assumptions are required on the marginal distribution. We can compose our results to obtain the first set of efficient algorithms for learning constant-depth networks of ReLUs. Our techniques combine kernel methods and polynomial approximations with a "dual-loss" approach to convex programming. As a byproduct we obtain a number of applications including the first set of efficient algorithms for "convex piecewise-linear fitting" and the first efficient algorithms for noisy polynomial reconstruction of low-weight polynomials on the unit sphere. We initiate the study of these challenges by examining one concrete problem in particular: how to algorithmically generate contest payout structures that are 1) economically motivating and appealing to contestants and 2) reasonably structured and succinctly representable. We formalize this problem and present a general two-staged approach for producing satisfying payout structures given constraints on contest size, entry fee, prize bucketing, etc. We then propose and evaluate several potential algorithms for solving the payout problem efficiently, including methods based on dynamic programming, integer programming, and heuristic techniques. Experimental results show that a carefully designed heuristic scales very well, even to contests with over 100,000 prize winners. Our approach extends beyond fantasy sports -- it is suitable for generating engaging payout structures for any contest with a large number of entrants and a large number of prize winners, including other massive online games, poker tournaments, and real-life sports tournaments. More recently, several open problems in the study of approximate degree have been resolved via the construction of dual polynomials. These are explicit dual solutions to an appropriate linear program that captures the approximate degree of any function. We reprove Aaronson and Shi's results by constructing explicit dual polynomials for the Collision and Element Distinctness functions. We prove a generalization of Razborov and Sherstov's result, yielding exponential sign-rank lower bounds for a non-trivial class of functions (that includes the function used by Razborov and Sherstov). As a corollary of our general result, we improve Razborov and Sherstov's lower bound on the sign-rank of AC$^0$ from $\exp(\Omega(n^{1/3}))$ to $\exp(\tilde{\Omega}(n^{2/5}))$. We also describe several applications to communication complexity, learning theory, and circuit complexity. Unlike related prior work, our result implies strong approximate degree lower bounds even for many functions $F$ that have low threshold degree. Our proof is constructive: we exhibit a solution to the dual of an appropriate linear program capturing the approximate degree of any function. In the annotated data streaming model of Chakrabarti et al., a computationally limited client wants to compute some property of a massive input, but lacks the resources to store even a small fraction of the input, and hence cannot perform the desired computation locally. The client therefore accesses a powerful but untrusted service provider, who not only performs the requested computation, but also proves that the answer is correct. We put forth the notion of semi-streaming algorithms for annotated graph streams (semi-streaming annotation schemes for short). These are protocols in which both the client's space usage and the length of the proof are $O(n \cdot \text{polylog}(n))$. We give evidence that semi-streaming annotation schemes represent a substantially more robust solution concept than does the standard semi-streaming model. On the positive side, we give semi-streaming annotation schemes for two dynamic graph problems that are intractable in the standard model: (exactly) counting triangles, and (exactly) computing maximum matchings. The former scheme answers a question of Cormode. On the negative side, we identify for the first time two natural graph problems (connectivity and bipartiteness in a certain edge update model) that can be solved in the standard semi-streaming model, but cannot be solved by annotation schemes of "sub-semi-streaming" cost. That is, these problems are just as hard in the annotations model as they are in the standard model. To the authors' knowledge, these are the first hardness results for sparse regression that apply when the algorithm simultaneously has $k'>k$ and $h(m,p)>0$. Our techniques also yield a new lower bound of $\Omega\left(n^{1/2}/\log^{(d-2)/2}(n)\right)$ on the approximate degree of the AND-OR tree of depth $d$, which is tight up to polylogarithmic factors for any constant $d$, as well as new bounds for read-once DNF formulas. In turn, these results imply new lower bounds on the communication and circuit complexity of these classes, and demonstrate strong limitations on existing PAC learning algorithms. In this work we study "barely interactive" SIPs. Specifically, we show that two or three rounds of interaction suffice to solve several query problems --- including Index, Median, Nearest Neighbor Search, Pattern Matching, and Range Counting---with polylogarithmic space and communication costs. Such efficiency with $O(1)$ rounds of interaction was thought to be impossible based on previous work. On the other hand, we initiate a formal study of the limitations of constant-round SIPs by introducing a new hierarchy of communication models called Online Interactive Proofs (OIPs). The online nature of these models is analogous to the streaming restriction placed upon the verifier in an SIP. We give upper and lower bounds that (1) characterize, up to quadratic blowups, every finite level of the OIP hierarchy in terms of other well-known communication complexity classes, (2) separate the first four levels of the hierarchy, and (3) reveal that the hierarchy collapses to the fourth level. Our study of OIPs reveals marked contrasts and some parallels with the classic Turing Machine theory of interactive proofs, establishes limits on the power of existing techniques for developing constant-round SIPs, and provides a new characterization of (non-online) Arthur-Merlin communication in terms of an online model. This paper initiates the study of the practical efficiency of multiprover interactive proofs (MIPs). We present a new MIP for delegating computation that extends insights from a powerful IP protocol (Goldwasser et al., STOC, 2008). Without reductions or amplification, our protocol uses only two provers (departing from prior work on MIPs), and achieves both the efficiency of interactive proof-based protocols and the generality of argument system-based protocols. Also, this result, together with recently developed machinery, creates a potential avenue toward concretely efficient arguments without setup costs. We describe Clover, a built system for verifiable computation, based on our protocol. Although Clover does not implement the full theory (it has setup costs), it applies to problems that existing IPs cannot efficiently handle, and achieves performance comparable to, or better than, the best argument systems. For distribution-independent learning, the best known algorithms for PAC learning typically utilize polynomial threshold representations, while the state of the art agnostic learning algorithms use point-wise polynomial approximations. We show that one-sided polynomial approximations, an intermediate notion between polynomial threshold representations and point-wise polynomial approximations, suffice for learning in the reliable agnostic settings. We then show that majorities can be fully reliably learned and disjunctions of majorities can be positive reliably learned, through constructions of appropriate one-sided polynomial approximations. Our fully reliable algorithm for majorities provides the first evidence that fully reliable learning may be strictly easier than agnostic learning. Our algorithms also satisfy strong attribute-efficiency properties, and in many cases they provide smooth tradeoffs between sample complexity and running time. We derive our representation for the database by approximating the OR function restricted to low Hamming weight inputs using low-degree polynomials with coefficients of bounded $L_1$-norm. In doing so, we show new upper and lower bounds on the degree of such polynomials, which may be of independent approximation-theoretic interest. A rich theory of such algorithms---which we call schemes---has emerged. Prior work has shown how to leverage the prover's power to efficiently solve problems that have no non-trivial standard data stream algorithms. However, while optimal schemes are now known for several basic problems, such optimality holds only for streams whose length is commensurate with the size of the data universe. In contrast, many real-world datasets are relatively sparse, including graphs that contain only $O(n^2)$ edges, and IP traffic streams that contain much fewer than the total number of possible IP addresses, $2^{128}$ in IPv6. We design the first schemes that allow both the annotation and the space usage to be sublinear in the total number of stream updates rather than the size of the data universe. We solve significant problems, including variations of INDEX, SET-DISJOINTNESS, and FREQUENCY-MOMENTS, plus several natural problems on graphs. On the other hand, we give a new lower bound that, for the first time, rules out smooth tradeoffs between annotation and space usage for a specific problem. Our technique brings out new nuances in Merlin-Arthur communication complexity models, and provides a separation between online versions of the MA and AMA models. We describe a refinement of a powerful interactive proof protocol originally due to Goldwasser, Kalai, and Rothblum. Cormode, Mitzenmacher, and Thaler show how to implement the prover in this protocol in time $O(S \log S)$, where $S$ is the size of an arithmetic circuit computing the function of interest. Our refinements apply to circuits whose wiring pattern is sufficiently "regular"; for these circuits, we bring the runtime of the prover down to $O(S)$. That is, our prover can evaluate the circuit with a guarantee of correctness, with only a constant-factor blowup in work compared to evaluating the circuit with no guarantee. We argue that our refinements capture a large class of circuits, and prove some theorems formalizing this. Experimentally, our refinements yield a 200x speedup for the prover over the implementation of Cormode et al., and our prover is less than 10x slower than a C++ program that simply evaluates the circuit. Along the way, we describe a special-purpose protocol for matrix multiplication that is of interest in its own right. Our final contribution is a protocol targeted at general data parallel computation. Compared to prior work, this protocol can more efficiently verify complicated computations as long as that computation is applied independently to many pieces of data. We give an algorithm that runs in time $d^{O(\sqrt{k})}$ and releases a private summary capable of answering any $k$-way marginal query with at most $\pm .01$ error on every query as long as $n \geq d^{O(\sqrt{k})}$. To our knowledge, ours is the first algorithm capable of privately releasing marginal queries with non-trivial worst-case accuracy guarantees in time substantially smaller than the number of $k$-way marginal queries, which is $d^{\Theta(k)}$ (for $k \ll d$). Our main positive result is a new tradeoff between the running time and mistake bound for learning length-$k$ decision lists over $n$ Boolean variables. When the allowed running time is relatively high, our new mistake bound improves significantly on the mistake bound of the best previous algorithm of Klivans and Servedio. Our main negative result is a new lower bound on the weight of any degree-$d$ polynomial threshold function (PTF) that computes a particular decision list over $k$ variables (the ``Odd-Max-Bit'' function). The main result of Beigel (Computational Complexity, 1994) is a weight lower bound of $2^{\Omega(k/d^2)}$, which was shown to be essentially optimal for $d \leq k^{1/3}$ by Klivans and Servedio. Here we prove a $2^{\Omega(\sqrt{k/d})}$ lower bound, which improves on Beigel's lower bound for $d > k^{1/3}.$ This lower bound establishes strong limitations on the effectiveness of the Klivans and Servedio approach and suggests that it may be difficult to improve on our positive result. The main tool used in our lower bound is a new variant of Markov's classical inequality which may be of independent interest; it provides a bound on the derivative of a univariate polynomial in terms of both its degree and the size of its coefficients. In this paper, we make note of an interesting aspect of these types of processes: the results are generally the same when the randomness is structured in the manner of double hashing. This phenomenon allows us to use less randomness and simplify the implementation for several hash-based data structures and algorithms. We explore this approach from both an empirical and theoretical perspective, examining theoretical justifications as well as simulation results for specific problems. Our goal is to leverage GPUs to reduce the server-side slowdown for verifiable computation. To this end, we identify abundant data parallelism in a state-of-the-art general-purpose protocol for verifiable computation, originally due to Goldwasser, Kalai, and Rothblum, and recently extended by Cormode, Mitzenmacher, and Thaler. We implement this protocol on the GPU, obtaining 40-120x server-side speedups relative to a state-of-the-art sequential implementation. For benchmark problems, our implementation reduces the slowdown of the server to factors of 100-500x relative to the original computations requested by the client. Furthermore, we reduce the already small runtime of the client by 100x. Similarly, we obtain 20-50x server-side and client-side speedups for related protocols targeted at specific streaming problems. We believe our results demonstrate the immediate practicality of using GPUs for verifiable computation, and more generally that protocols for verifiable computation have become sufficiently mature to deploy in real cloud computing systems. We give precise characterizations of the threshold between finite and infinite capacity depending on the interference behavior and on the type of channel adversary: for max-bounded delay, the threshold is at $D_{\text{max}}=\Theta(M \log\min{k, M}))$, and for average bounded delay the threshold is at $D_{\text{avg}} = \Theta(\sqrt{M \cdot \min\{k, M\}})$. Our approach is two-fold. First, we describe a carefully chosen instantiation of one of the most efficient general-purpose constructions for arbitrary computations (streaming or otherwise), due to Goldwasser, Kalai, and Rothblum. This requires several new insights to make the methodology more practical. Our main contribution is in achieving a prover who runs in time $O(S(n) \log S(n))$, where $S(n)$ is the size of an arithmetic circuit computing the function of interest. Our experimental results demonstrate that a practical general-purpose protocol for verifiable computation may be significantly closer to reality than previously realized. Second, we describe techniques that achieve genuine scalability for protocols fine-tuned for specific important problems in streaming and database processing. Focusing in particular on non-interactive protocols for problems ranging from matrix-vector multiplication to bipartite perfect matching, we build on prior work to achieve a prover who runs in nearly linear-time, while obtaining optimal tradeoffs between communication cost and the user's working memory. Existing techniques required (substantially) superlinear time for the prover. We argue that even if general-purpose methods improve, fine-tuned protocols will remain valuable in real-world settings for key problems, and hence special attention to specific problems is warranted. diff --git a/src/data/compiled_bios/2780.txt b/src/data/compiled_bios/2780.txt new file mode 100644 index 0000000000..229a3cbc1b --- /dev/null +++ b/src/data/compiled_bios/2780.txt @@ -0,0 +1 @@ + Larry Peterson Larry Peterson Larry Peterson is the Robert E. Kahn Professor of Computer Science, Emeritus at Princeton University, where he served as Chair from 2003-2009. He is a co-author of the best selling networking textbook Computer Networks: A Systems Approach (now open sourced). His research focuses on the design, implementation, and deployment of Internet-scale distributed systems, including the widely used PlanetLab and MeasurementLab platforms. He is currently working on a new access edge cloud called CORD , an open source project of the Open Networking Foundation . A bibliography of his papers can be found here . Professor Peterson is a former Editor-in-Chief of the ACM Transactions on Computer Systems , and served as program chair for SOSP, NSDI, and HotNets. He is a member of the National Academy of Engineering, a Fellow of the ACM and the IEEE, the 2010 recipient of the IEEE Kobayashi Computer and Communication Award, and the 2013 recipient of the ACM SIGCOMM Award. He received his Ph.D. degree from Purdue University in 1985. diff --git a/src/data/compiled_bios/2781.txt b/src/data/compiled_bios/2781.txt new file mode 100644 index 0000000000..8afd5984ef --- /dev/null +++ b/src/data/compiled_bios/2781.txt @@ -0,0 +1 @@ + Iasonas Petras, Lecturer, CS department@Princeton University ABOUT ME I am a Lecturer at the Department of Computer Science at Princeton University. Currently, I am the Lead Preceptor for the course COS 340: Reasoning about Computation [ see more ]; I have also been the Lead/Co-Lead Preceptor for COS 217: Introduction to Programming Systems . I was awarded my Ph.D. from the department of Computer Science at Columbia University. My advisor was Professor Joseph F. Traub . My research interests lie in numerical methods and their applications in continuous mathematics, as well as quantum computation. HOME RESEARCH PUBLICATIONS TALKS TEACHING CONTACT In terms of research, I am interested in the algorithmic and complexity analysis of multivariate mathematical problems. The quantum computer is potentially a powerful computational tool. I am looking into quantum algorithms for continuous mathematical and physical problems, that demonstrate a significant speedup compared to their classical counterparts. Information-based complexity refers to the complexity of continuous mathematical problems, such as integration or approximation of continuous functions. The most interesting cases are problems which refer to multivariate functions, where the number of variables (dimension of the problem) is considered "huge". I am interested in studying ways to eliminate the "curse of dimensionality", namely the exponential dependence of the cost of algorithms on the dimension. Quantum Computation Quantum physics @ arXiv.org Quantum computation @ wikipedia Information-based complexity Information-based complexity @ wikipedia Princeton University Computer Science Department CS Theory Group COS 340 Publications Anargyros Papageorgiou, Iasonas Petras and Henryk Wo\'zniakowski (s,ln k)-weak tractability of linear problems , Journal of Complexity, Vol 40, June 2017, pg. 1-16 Mihir K. Bhaskar, Stuart Hadfield, Anargyros Papageorgiou and Iasonas Petras, Quantum Algorithms and Circuits for Scientific Computing , Quantum Information and Computation, 16, no. 3&4, March 2016: pg. 197-236 Anargyros Papageorgiou and Iasonas Petras, A new criterion for tractability of multivariate problems , Journal of Complexity, Vol 30, Issue 5, pg. 605-619, October 2014 Anargyros Papageorgiou and Iasonas Petras Estimating the ground state energy of the Schrdinger equation for convex potentials , Journal of Complexity, Vol 30, Issue 4, pg. 469-494, August 2014 Yudong Cao, Anargyros Papageorgiou, Iasonas Petras, Joseph F. Traub and Sabre Kais, Quantum algorithm and circuit design solving the Poisson equation , New J. Phys. 15 (2013) 013021 Anargyros Papageorgiou, Iasonas Petras, Joseph F. Traub and Chi Zhang, A fast algorithm for approximating the ground state energy on a quantum computer , Math Comp. 82 (2013), 2294-2304 Anargyros Papageorgiou and Iasonas Petras, Tractability of tensor product problems in the average case settin , Journal of Complexity, Vol 27, Issue 3-4, June, 2011. Anargyros Papageorgiou and Iasonas Petras, On the tractability of linear tensor product problems in the worst case , Journal of Complexity, Vol 25, Issue 5, October 2009 K. Theodoropoulos, D. Ntalaperas, I. Petras and N. Konofaos, A quantum computer based on recombination processes in microelectronic devices , 2005 J. Phys.: Conf. Ser. 10, 85-88 Talks Dagstuhl Seminar Proceedings 12391: Algorithms and Complexity for Continuous Problems, Iasonas Petras, Repeated Phase Estimation: Approximating the ground state of the Schroedinger equation, 23-28 September, 2012. Winter School 2012: QIQC. Iasonas Petras, A fast algorithm for the ground state energy on a quantum computer, 05-07 January, 2012. Dagstuhl Seminar Proceedings 09391: Algorithms and Complexity for Continuous Problems, Iasonas Petras, On the Tractability of Linear Tensor Product Problems in the Worst Case, 20-25 September, 2009. Last updated: 2018 Teaching As Lecturer at Princeton University COS 340: Reasoning about Computation [ current semester ] COS 217: Introduction to Programming Systems Princeton University Matlab short course, 2nd Lecture. As Teaching Assistant at Columbia University Computational linear algebra Numerical algorithms and complexity Teaching Awards Excellence in Teaching Award, from Princeton Universitys Engineering Council and Graduate Engineering Council Contact Information Email: ipetras (at) cs (dot) princeton (dot) edu Office: 033 Corwin Hall, Princeton University Copyright 2006, Your Website - RSS Feed Design: David Herreman XHTML - CSS diff --git a/src/data/compiled_bios/2782.txt b/src/data/compiled_bios/2782.txt new file mode 100644 index 0000000000..3d12db91cb --- /dev/null +++ b/src/data/compiled_bios/2782.txt @@ -0,0 +1 @@ + Olga Russakovsky Home Say hi Assistant Professor Department of Computer Science Princeton University [ Lab ] [ CV ] [ Bio ] [ Scholar ] [ AI4ALL ] [ Say hi ] About I am interested in developing artificial intelligent systems that are able to reason about the visual world. My primary research area is computer vision , closely integrated with machine learning and human-computer interaction . I am an Assistant Professor in the Department of Computer Science . I am also affiliated faculty at the Center for Statistics and Machine Learning and the Center for Information Technology Policy . Research Please visit the Visual AI Lab page for a list of publications, project descriptions, lab members and other information. Some representative talks: "Computer vision meets fairness," CVPR 2018 workshops [ slides ] "Towards Web-scale Video Understanding," CVPR 2017 WebVision workshop [ slides ] "The Human Side of Computer Vision," Feb - Aug 2016. [ slides , videos for slides ] "Scaling Up Object Detection," Jan 2015 - Jan 2016. [ slides ] "ImageNet Large Scale Visual Recognition Challenge (ILSVRC)" [ video from NVIDIA's GTC 2015 ] [ video from Bay Area Vision Meeting 2013 ] [ slides pptx , slides pdf , focusing on ILSVRC history] Teaching I am teaching two courses this academic year, both new : Fall 2018. COS 597B: Advanced Topics in CS: Computer Vision Research Skills Spring 2019. COS 529: Advanced Computer Vision Outreach I spend a lot of time thinking about how we as a society got ourselves into such a diversity crisis in computer science, and how we can get ourselves out of it. Some of my views are briefly summarized in this MIT Technology Review article . Also: AI4ALL is a foundation I co-founded in 2016 to create a diverse future generation of AI technologists. Stanford AI4ALL (formerly SAILORS) is a program that I co-founded in 2015 to educate high school girls about AI. [ Wired article ] [ SIGCSE 2016 publication ] Princeton AI4ALL is a camp I co-founded in 2018 for high school students from underrepresented racial/ethnic groups. If you are interested in helping out with that, please say hi . Random tidbits One of the most useful books I ever read is Stress-Free For Good byFred Luskin and Kenneth R. Pelletier.It makes a really solid point that while mental stress may be helpful for motivation, physical stress (heart pounding, muscles tightening, sinking feeling in your stomach) is strictly counter-productive on every level -- except when you're running from an actual physical tiger, which you probably aren't. So the book describes some straight-forwardtechniques to trick your body into being less physically stressed. A 2015 study published in Science and extensively covered bythe media led by Sarah-Jane Leslie found that scientific fields where innate brilliance is believed to be required tend to attract fewer women and racial minorities. This is an incredibly important but deeply distressing finding. It's particularly frustrating since innate brilliance is not even really a thing. For example, check out Peak: Secrets from the New Science of Expertise by Anders Ericsson which essentially invalidates this concept entirely. It summarizes several decades of research into how the right type of practice can be used to develop almost any skill. Home Say hi diff --git a/src/data/compiled_bios/2783.txt b/src/data/compiled_bios/2783.txt new file mode 100644 index 0000000000..c6c3c1a99b --- /dev/null +++ b/src/data/compiled_bios/2783.txt @@ -0,0 +1 @@ + Robert Schapire I have moved to Microsoft Research in NYC. My new website is: rob.schapire.net . diff --git a/src/data/compiled_bios/2784.txt b/src/data/compiled_bios/2784.txt new file mode 100644 index 0000000000..26a93429f7 --- /dev/null +++ b/src/data/compiled_bios/2784.txt @@ -0,0 +1 @@ + Robert Sedgewick This page always under construction (even though it is an old-school page that needs work). Robert Sedgewick Department of Computer Science Princeton University Princeton, NJ 08544 rs@cs.princeton.edu Primary professional activities William O. Baker Professor, Department of Computer Science, Princeton University Author of several books published by Addison-Wesley Research in analysis of algorithms Director, (emeritus) Adobe Systems Booksites Algorithms, 4th edition , with Kevin Wayne Analytic Combinatorics , with Philippe Flajolet An Introduction to Programming in Java: An Interdisciplinary Approach , with Kevin Wayne An Introduction to the Analysis of Algorithms , with Philippe Flajolet Recent books An Introduction to Computer Science , with Kevin Wayne Algorithms, 4th edition , with Kevin Wayne Analytic Combinatorics , with Philippe Flajolet An Introduction to Programming in Java: An Interdisciplinary Approach , with Kevin Wayne Algorithms in Java, Part 5 (Graph Algorithms) ( code , errata ) Algorithms in Java, Parts 1-4 (Fundamental Algorithms, Data Structures, Sorting, Searching) ( code , errata ) Algorithms in C++, Part 5 (Graph Algorithms) ( code , errata ) Algorithms in C, Part 5 (Graph Algorithms) ( code , errata ) Algorithms in C++, Parts 1-4 (Fundamental Algorithms, Data Structures, Sorting, Searching) ( code , errata ) Algorithms in C, Parts 1-4 (Fundamental Algorithms, Data Structures, Sorting, Searching) ( code , errata ) An Introduction to the Analysis of Algorithms , with Philippe Flajolet Algorithms in C++ (second edition) Recent talks A 21st Century Model for Disseminating Knowledge , Brown University, May 2018; Massachusetts Institute of Technology, xTalk, April 2018; University of Michigan, December 2017; Harvey Mudd College, October 2017; University of Southern California, October 2017; Georgia Insitute of Technology, Commission on Creating the Next in Education, Atlanta, GA, April 2017; University of Utah, Salt Lake City, Utah, October, 2016 (Goldman Sachs Distinguished Lecture); Dagstuhl Workshop on Data Structures, Wadern, Germany, March, 2016. Cardinality Estimation , Colloquim for Don Knuth's 80th birthday, Pitea, Sweden, January 2018; University of Southern California, October 2017; AofA'16 (Flajolet Lecture), Krakow, Poland, July 2016. Computer Science for the Masses , ACM-IEEE-CS Meeting, Computer Science Education Week, Princeton, December, 2015. If You Can Specify It, You Can Analyze It --- The Lasting Legacy of Philippe Flajolet , SODA, New Orleans, January, 2013; Vienna Center for Logic and Algorithms, Vienna University of Technology, May 2013; dedication of the Bibliotheque universitaire de Versailles to Philippe Flajolet, May, 2013; CanaDAM, Newfoundland, June 2013; LATIN, Montevideo, Uruguay, April, 2014. Taking Education Online: A Unique Opportunity for the New Millenium , (alternate title Analytic Combinatorics for the Masses ), Combinatorial Probability and Statistical Mechanics Workshop, Queen Mary University of London, February, 2013; Colloquium d'informatique de Universit Pierre et Marie Curie Sorbonne Universits, Paris, May 2013; 24th International Meeting on Probabilistic, Combinatorial and Asymptotic Methods for the Analysis of Algorithms, Menorca, May 2013; Center for Information Technology Policy Lecture Series , Princeton University, October 2013; Universidad de la Repblica Faculty of Engineering, Montevideo, Uruguay, April, 2014; NYU Polytechnic School of Engineering, Brooklyn, NY, April, 2015. From Analysis of Algorithms to Analytic Combinatorics , DIMACS, December, 2011; PFAC conference, Paris, December, 2011; Drexel University, February, 2012; Stanford University, April, 2012. Algorithms for the Masses , ANALCO'11, San Francisco, January, 2011; Modi Memorial Lecture, Drexel University, April, 2012. Putting the Science back into Computer Science , CS Colloquium, Rutgers University, November, 2010. The Role of the Scientific Method in Programming , Colloquium on Computer Science Pedagogy, Carnegie-Mellon University, March, 2010. Impatiemment Attendu , Philippe Flajolet 60th birthday celebration, Paris, December, 2008. Left-Leaning Red-Black Trees , Combinatorics and Probability Seminar, University of Pennsylvania, October, 2008. Left-Leaning Red-Black Trees , Workshop on Analysis of Algorithms, Maresias, Brazil, April, 2008. Left-Leaning Red-Black Trees , Dagstuhl Workshop on Data Structures, Wadern, Germany, February, 2008. The Role of the Science and Mathematics in Software Development , Purdue University, West Lafayette, IN, November, 2007. The Role of the Scientific Method in Software Development , Adobe Systems, San Jose, CA, April, 2007. Creating "Algorithms" , Adobe Systems, San Jose, CA, December, 2002; Tufts University, Medford, MA, May, 2003. Finding Paths In Graphs , Adobe Systems India, January, 2007; based on earlier talks at 2005 International Conference on the Analysis of Algorithms, Barcelona, June, 2005, Dagstuhl Workshop on Data Structures, Wadern, Germany, February, 2004, and Ottawa-Carleton Discrete Math Day, April, 2004. Creating "Algorithms" , Adobe Systems, San Jose, CA, December, 2002; Tufts University, Medford, MA, May, 2003. Permutation generation methods , Dagstuhl Workshop on Data Structures, Wadern, Germany, February, 2002. Quicksort is optimal , Knuthfest, Stanford University, January, 2002. New research on the theory and practice of sorting ( math supplement ) Universite du Quebec a Montreal, April 27, 2001; New York Academy of Sciences, February 8, 2000; Ecole Polytechnique, Paris, France, May 25, 1999. Visualizing the analysis of algorithms , Fourth International Workshop on the Analysis of Algorithms, Princeton University, July 20, 1998. Online knowledge and the incandescent future of the university , Assembly of the Class of 2001, Princeton University, September 7, 1997. Open problems in the analysis of sorting and searching algorithms , Workshop on the probabilistic analysis of algorithms, Princeton, May, 1997. Sorting and searching strings , Eighth Symposium on Discrete Algorithms, New Orleans, January, 1997. Analysis of shellsort and related algorithms , Fourth European Symposium on Algorithms, Barcelona, September, 1996. Princeton course development General Computer Science , 1992- Algorithms and Data Structures , 1986-, slides Other professional activities Director, DIMACS Special Year on Massive Data Sets Area Editor for Journal of the ACM, Journal of Algorithms, and Algorithmica President's Advisory Committee on Architecture, Princeton University Past professional appointments Founding Chair, Department of Computer Science, Princeton University (1985-94) Professor at Brown University, Providence, RI (1975-85) Visiting staff at Xerox PARC, Palo Alto, CA (1978, 1979) Visiting staff at INRIA, Rocquencourt, France (1982-83, 1990) Visiting staff at IDA, Princeton New Jersey (1978, 1979, 1983, 1990, 1994, 1997) Computer Science GRE Committee, Educational Testing Service (1986-1996) Selected papers "Left-Leaning Red-Black Trees" , September, 2008. "Mellin transforms and asymptotics: finite differences and Rice's integrals" (with P. Flajolet) Theoretical Computer Science A 144 , 1995. "The analysis of Heapsort" (with R. Schaffer), J. of Algorithms 13 , 1993. "Deterministic skip lists" (with I. Munro and T. Papadakis), Proc. 3rd ACM-SIAM Symp. on Discrete Algorithms , 1992. "Tight lower bounds for Shellsort" (with M. Weiss), J. of Algorithms 11 , 1990. "Pairing heaps: a new form of self-adjusting heap," (with M. Fredman, D. Sleator, and R. E. Tarjan) Algorithmica 1 , 1, 1986. "Digital search tree analysis revisited" (with P. Flajolet), SIAM J. Computing 15 , 2, 1986. "Shortest paths in euclidean graphs" (with J. Vitter), Algorithmica 1 , 1, 1986. "A new upper bound for Shellsort," Journal of Algorithms 7 , 1986. "Improved Upper Bounds for Shellsort" (with J. Incerpi), J. Computer and System Sciences 31 , 2, 1985. "A system for algorithm animation" (with M. Brown) Computer Graphics 18 , 3, 1984. Technical reports and old papers Thesis (1975) General description of research goals Finding efficient algorithms for fundamental practical problems by studying important algorithms at all levels through the design-analysis-implementation cycle. Validating theoretical designs through practical implementations; uncovering fundamental properties of algorithms through careful mathematical performance analyses; comparing algorithms through careful implementation studies. Developing general mechanisms relating algorithms, data structures, generating functions and analytic functions such that asymptotic results useful in predicting performance of the algorithms can be derived automatically and economically. Investigating the way in which visual representations can provide an understanding of how algorithms gain efficiency, including dynamic graphical simulations of algorithms in operation and high-quality static representations suitable for use in publications. Robert Sedgewick diff --git a/src/data/compiled_bios/2785.txt b/src/data/compiled_bios/2785.txt new file mode 100644 index 0000000000..15108b80b5 --- /dev/null +++ b/src/data/compiled_bios/2785.txt @@ -0,0 +1 @@ + Search for: Main menu Skip to content Home News Publications Data Software Courses Challenges Links Positions Personnel Seung Lab Computational Neuroscience@Princeton The Seung Lab uses techniques from machine learning and social computing to extractbrain structure fromlight and electron microscopic images. EyeWire showcases our approach by mobilizing gamers from around the world to create 3D reconstructions of neurons by interacting with a deep convolutional network. The Seung Lab also develops computational methodsfor relating brain structure to function. To establish this relationship,we often reconstruct the connectivity of the same neurons afterobservation of their activity via two-photon imaging. We also classify neurons into cell types that have characteristicstructural and functional properties. The latter approach was used to create a new model for how direction selectivity emerges in the mammalian retina, based on the 3D reconstructions from EyeWire. For further insights into function, we also reconstruct neural circuits after manipulation of neurons via viral or genetic techniques. We are best known for our work on the reconstruction of neural circuits using serial electron microscopy.At the present time, we are only able to reconstructa tiny fraction of neural circuitryin the mammalian brain.A long-termgoal is to accelerateimage analysis until it becomes practicalto reconstruct completeconnectomes of mammalian brains. This technological goal complements exciting progress in the imaging of neural activity. Knowing the connectivity and activity of every cellin a neural circuit will radically accelerate the progress of neuroscience. We also study brain structure using light microscopy, which has inferior spatial resolution to electron microscopy but provides a largerfield of view and molecular information from fluorescent probes. We use light microscopy forthe structural classification of cell types and cross-validation with molecularly defined types. We also develop computational tools for handling whole brain images from light microscopy. Search for: News No categories Navigation Challenges Courses Introduction to connectomics Data Publications Software Links Positions Personnel Contact Copyright 2019 . All Rights Reserved. Princeton University diff --git a/src/data/compiled_bios/2786.txt b/src/data/compiled_bios/2786.txt new file mode 100644 index 0000000000..87381c45b9 --- /dev/null +++ b/src/data/compiled_bios/2786.txt @@ -0,0 +1 @@ + Jaswinder Pal S ingh Professor, Computer Science Department , Princeton University . Ph.D. 1993, Stanford University . PICASso: Program in Integrative Computer, Application and Information Sciences Material for "Parallel Computer Architecture: A Hardware-Software Approach" (Culler and Singh, with Gupta) For Slides, solutions and other materials, please see Publishers' Home Page for Book Research (out of date): Boundary of Applications and Computer Systems Parallel Computing (Applications, Architecture, Programming Models, Workload-driven evaluation) : PRISM research group home page Scalable Internet Services and Systems : DADI project home page Interdisciplinary Research in Computer and Application Sciences ( PICASso Program ) Methods for Information Discovery, Extraction, Routing and Dissemination As Founder and Chief Technology Officer of firstRain, Inc., led the development of novel and award-winning technologies and products for precise information extraction from web pages in the presence of changes, for topic-specific crawling and information discovery , for high-relevance search , and for large-scale content-based publish-subscribe . These are currently marketed primarily in the context of market intelligence applications. Use of High-Performance Computing in Biology/Medicine and Graphics/Visualization Computational Immunology: Simulating the Immune System Protein Structure Prediction/Recognition in the Presence of Uncertainty Probabilistic Inference in Belief Networks for Diagnosis Some Publications (out of date) E-mail: jps AT cs THEN-DOT princeton THEN-DOT edu. Office Address: Department of Computer Science, Rm 423,35 Olden Street,Princeton, NJ 08544 Office: (609)-258-5329 Fax: (609)-258-1771 diff --git a/src/data/compiled_bios/2787.txt b/src/data/compiled_bios/2787.txt new file mode 100644 index 0000000000..a205540c93 --- /dev/null +++ b/src/data/compiled_bios/2787.txt @@ -0,0 +1 @@ + Mona Singh Home Publications Software Teaching Group My group's research is in computational molecular biology, as well as its interface with machine learning and algorithms. We are particularly interested in predicting specificity in protein interactions and uncovering how molecular interactions and networks vary across context, organisms and individuals. We leverage high-throughput biological datasets in order to develop data-driven algorithms for predicting protein interactions and specificity; for uncovering protein functions via sequences and structures; and for analyzing biological networks in order to uncover cellular organization, functioning, and pathways. An appreciation of protein structure guides much of our research. Mona Singh Professor of Computer Science Lewis-Sigler Institute for Integrative Genomics Department of Computer Science Princeton University msingh at cs.princeton.edu http://www.cs.princeton.edu/~mona/ Mailing Address: 244 Carl Icahn Lab, Princeton University, Princeton, NJ 08544 Princeton University Department of Computer Science Lewis-Sigler Institute for Integrative Genomics diff --git a/src/data/compiled_bios/2788.txt b/src/data/compiled_bios/2788.txt new file mode 100644 index 0000000000..45094875c6 --- /dev/null +++ b/src/data/compiled_bios/2788.txt @@ -0,0 +1 @@ + Robert E. Tarjan Department of Computer Science Princeton University 35 Olden Street, Room 324 Princeton, NJ 08544-2087 Phone: (609) 270-1355 FAX: (609) 258-1771 ret@cs.princeton.edu Primary professional activities Department of Computer Science, Princeton University James S. McDonnell Distinguished University Professor of Computer Science. Curriculum Vitae pdf version diff --git a/src/data/compiled_bios/2789.txt b/src/data/compiled_bios/2789.txt new file mode 100644 index 0000000000..3b55aab349 --- /dev/null +++ b/src/data/compiled_bios/2789.txt @@ -0,0 +1 @@ + Toggle navigation Troyanskaya Laboratory Bioinformatics and Functional Genomics people research software publications join Previous Next Research summary An immensely complex molecular network of interactions forms the foundation of human biology and disease. Genomic approaches provide a particularly illuminating window into biological systems, and when combined with advanced analyses, allow us to learn and model this complexity. The goal of our research is to interpret and distill this complexity through accurate analysis and modeling of molecular pathways, particularly those in which malfunctions lead to the manifestation of disease. We are inventing integrative methods for systems-level pathway modeling through integrative analysis of genome-scale datasets. We apply these approaches in studying challenging biological problems, such as how pathways function in diverse cell types and how they change dynamically (e.g., during cellular differentiation or in response to genetic and pharmacological perturbations). Achieving these goals requires developing innovative computational methods for the analysis and modeling of diverse high-throughput big data in biology. By integrating massive collections of heterogeneous datasets, we can extract the relevant information necessary to make precise biological predictions and computationally direct experiments. This challenging problem can only be tackled through an interdisciplinary approach. For this reason, our team includes experts in bioinformatics, machine learning, statistics, algorithms, and biology. We translate our computational predictions into testable hypotheses through close collaborations with experimental and clinical researchers in diverse areas spanning autism, Alzheimer's disease, kidney disease, and breast cancer. We aim to produce high-resolution dynamic predictive models to study the effects of genetic and environmental perturbations in cells, and ultimately whole organisms, elucidating the molecular basis of disease. Recent press AI Accurately Predicts Effects of Genetic Mutations in Biological Dark Matter . Simons Foundation . Harnessing deep learning to find genetic causes of conditions such as autism . World Economic Forum . AI is changing how we do science. Get a glimpse . Science . Olga elected as an ISCB Fellow (Class of 2017) . International Society for Computational Biology . Ruth wins the PLOS - Late Breaking Research Award . International Society for Computational Biology . Researchers flag hundreds of new genes that could contribute to autism . Princeton University . Highlighted publications Deep learning sequence-based ab initio prediction of variant effects on expression and disease risk. Nature Genetics , 2018. Genome-wide prediction and functional characterization of the genetic basis of autism spectrum disorder. Nature Neuroscience , 2016. Predicting effects of noncoding variants with deep learning-based sequence model. Nature Methods , 2015. Understanding multicellular function and disease with human tissue-specific networks. Nature Genetics , 2015. 2018 TroyanskayaLab | Princeton University diff --git a/src/data/compiled_bios/279.txt b/src/data/compiled_bios/279.txt new file mode 100644 index 0000000000..07ac0232d0 --- /dev/null +++ b/src/data/compiled_bios/279.txt @@ -0,0 +1 @@ + Nitin H. Vaidya Robert L. McDevitt, K.S.G., K.C.H.S. and Catherine H. McDevitt L.C.H.S. Chair Department of Computer Science 358 St. Mary's Hall Georgetown University Phone:202-687-0317 nitin.vaidya@georgetown.edu Distributed Computing (DISC) Group My group addresseschallenges in distributed computingwith an emphasis on design and analysis of distributed algorithms. Ongoing research addresses the following problems: Openings Publications Website at UIUC Mailing address: Nitin Vaidya 358 St.Mary's Hall Georgetown University 37th and O StreetsNW Washington, DC20057 Phone: 202-687-0317 nitin.vaidya@georgetown.edu diff --git a/src/data/compiled_bios/2790.txt b/src/data/compiled_bios/2790.txt new file mode 100644 index 0000000000..dc4ab2fb6b --- /dev/null +++ b/src/data/compiled_bios/2790.txt @@ -0,0 +1 @@ + David Walker Professor Princeton Computer Science Department Representative for Undergraduate Affairs Office Hours: web calendar or contact Colleen Kenny-McGinley Watch out: When I was younger, I kept my web pages up to date. Now I don't so much. You have the internet. You can figure me out. Good luck! :-) Publications: Chronological , By Topic , CV , Students & Co-authors Current Projects: Optician : A system for synthesizing bi-directional data transformations Propane : A language for simple, correct-by-construction network configuration MineSweeper : A proactive network analysis and verification tool Older Projects: Frenetic : Programming Languages and Abstractions for Software-Defined Networking Forest : Language support for managing file system fragments Yarra : Defense against non-control data attacks PADS : Processing ad hoc data sources Zap : Producing reliable software in the presence of transient faults Polymer : Compositional program monitoring AspectML : A functional aspect-oriented programming language Plato : Logical reasoning about programs TAL : Typed assembly language Courses COS 598A: Network Verification ( Spring 19 ) COS 510: Programming Languages ( Fall 02 , Fall 03 , Spring 14 ) COS 326: Functional Programming ( Fall 12 , Fall 13 ) COS 441: Programming Languages ( Fall 05 , Fall 07 , Fall 08 , Fall 11 ) COS 597C: Parallelism ( Fall 10 , with David August ) COS Independent Work (Fall 07- Spring 09) COS 226: Introduction to Algorithms and Data Structures ( Spring 07 , Spring 11 ) COS 320: Compiling Techniques ( Spring 03 , Spring 04 , Spring 05 , Spring 06 ) COS 597B: Computer Security Foundations ( Fall 04 ) COS 598E: Foundations of Language-Based Security ( Spring 02 ). TACL Seminar : Princeton's research seminar on programming languages and compiler technology General Academic Service Microsoft Think Tank on University Relations. 2009. Core member, CCC Visioning Study on Multi-level Approaches to Reliability. 2008-2010. Associate Editor for ACM TOPLAS. June 2007-. ACM POPL Publicity Chair. POPL 03-POPL 06. ACM POPL Industrial Relations Chair. POPL 16-POPL 19. Program Committees & Summer Schools [2018] POPL 2018 (PC) [2017] PLOS 2017 (PC), SOSR 2017 (PC) [2016] ICFP 2016 (PC), PLDI 2016 (PC) [2015] POPL 2015 (Program Chair) [2014] PLDI 2014 (PC) [2013] POPL 13 (PC), OBT 13 (General Chair), OCAML 13 (PC), WRIPE 13 (PC) [2012] POPL 12 (ERC), PODS 12 (ERC), OBT 12 (Program/General Chair), PLPV 2012 (PC), WRiPE 12 (PC) [2011] ESOP 11 (PC) [2010] PLDI 10 (PC) [2009] OOPSLA 09 (PC) [2008] IBM/NJPLS PL Day (PC) [2007] POPL 07 (PC), CGO 07 (PC), FOOL/WOOD 07 (PC), TFP 07 (PC), PLAS 07 (PC). [2006] SPACE 06 (Program Co-Chair), ICALP 06 , FOAL 06 , Summer School on Language-Based Techniques for Concurrent and Distributed Software (Steering Committee). [2005] FOAL 05 (Program Chair), TLDI 05 , NJPLS (Program Chair), Summer School on Reliable Computing (Organizer). [2004] ICFP 04 , LRRP 04 , FOAL 04 , NJPLS (Host), Summer School on Software Security (Organizer). [2003] NJPLS (Host), Summer School on Foundations of Security (Invited speaker). [2002] PEPM 02 (PC), NJPLS (Program Chair), Summer School on Foundations of Internet Security . (Invited speaker). Awards ACM SIGPLAN Research Highlight. Selected in September 2008 for POPL 2006 paper entitled "The Next 700 Data Description Languages." (1 of 5 papers initially selected from 2006-2008). Official nomination . ACM SIGPLAN Research Highlight. Selected in September 2008 for PLDI 2007 paper on entitled "Fault-tolerant Typed Assembly Language." (1 of 5 papers initially selected from 2006-2008). Official nomination . Most Influential 1998 POPL Paper Award . ( pdf ) Awarded after 10 years consideration at POPL 2008. Also see our journal paper on this topic ( pdf ). PLDI 2007 Best Paper Award ( pdf ). June 2007. Emerson Junior Faculty Award for Excellence in Research and Teaching . May 2005. Alfred P. Sloan Fellow . Sept 2004-Sept 2006. NSF Career Award . July 2003. Awards Won by My Students Accenture Award. Won by Zach DeVito, an undergraduate advisee. Dec. 2007. Accenture Award. Won by Lester Mackey, an undergraduate advisee. Dec. 2007. CRA Outstanding Undergraduate Award. Won by Lester Mackey, an undergraduate advisee. May 2007. Pyne Prize. Won by Lester Mackey, an undergraduate advisee. May 2007. Princeton Computer Science Department Senior Thesis Award . Co-winner Mark Daly, an undergraduate advisee. May 2006. Princeton Computer Science Department Senior Thesis Award . Co-winner Rob Simmons, an undergraduate advisee. May 2005. diff --git a/src/data/compiled_bios/2791.txt b/src/data/compiled_bios/2791.txt new file mode 100644 index 0000000000..f375f3e90e --- /dev/null +++ b/src/data/compiled_bios/2791.txt @@ -0,0 +1 @@ + Kevin Wayne Contact Information Research Teaching Summer Programs Undergrad Projects Princeton Restaurants Contact Information Kevin Wayne Phillip Y. Goldman '86 Senior Lecturer Department of Computer Science Princeton University 35 Olden Street Princeton, NJ 08540-5233 wayne@cs.princeton.edu diff --git a/src/data/compiled_bios/2792.txt b/src/data/compiled_bios/2792.txt new file mode 100644 index 0000000000..5fc048800e --- /dev/null +++ b/src/data/compiled_bios/2792.txt @@ -0,0 +1 @@ + Matt Weinberg Assistant Professor, Computer Science Princeton University Home Research Publications Students Teaching Miscellaneous As of January 2017, I'm an assistant professor at Princeton University in the Department of Computer Science. My primary research interest is in Algorithmic Mechanism Design : algorithm design in settings where users have their own incentives. I'm also interested more broadly in Algorithmic Game Theory, Algorithms Under Uncertainty, and Theoretical Computer Science in general. See here for more details. Before joining the faculty at Princeton, I spent two years as a postdoc in Princeton's CS Theory group, and was a research fellow at the Simons Institute during the Fall 2015 ( Economics and Computation ) and Fall 2016 ( Algorithms and Uncertainty ) semesters. I completed my PhD in 2014 at MIT, where I was very fortunate to be advised by Costis Daskalakis . Prior to that, I graduated from Cornell University with a BA in Math in 2010, where I was also fortunate to have worked with Bobby Kleinberg . Contact Room 222 194 Nassau Street Princeton NJ 08540 Email: smweinberg (at) princeton (dot) edu diff --git a/src/data/compiled_bios/2793.txt b/src/data/compiled_bios/2793.txt new file mode 100644 index 0000000000..95b153e438 --- /dev/null +++ b/src/data/compiled_bios/2793.txt @@ -0,0 +1 @@ + Home Publications Talks Teaching Miscellaneous Personal Mark Zhandry I am an assistant professor at Princeton University in the Department of Computer Science . My primary research focus is cryptography, though I am broadly interested in all aspects of computer science theory. Some of my recent research projects include studying program obfuscation and analyzing the effects that quantum computers will have on cryptography. Previously, I was a postdoc at MIT , hosted by Vinod Vaikuntanathan . I earned my PhD in 2015 from Stanford University , where I was advised by Dan Boneh . In 2010, I graduated with Highest Honors from UC Berkeley where I majored in electrical engineering, computer science, and physics, and minored in mathematics. Current Students: Jiaxin (Ernest) Guan Qipeng (Kevin) Liu Fermi Ma Current Postdocs: Mark Bun Contact Info 194 Nassau St. Room 242 Princeton University Princeton, NJ, 08540 diff --git a/src/data/compiled_bios/2794.txt b/src/data/compiled_bios/2794.txt new file mode 100644 index 0000000000..5da92bd985 --- /dev/null +++ b/src/data/compiled_bios/2794.txt @@ -0,0 +1 @@ +Omid Abari Home Publications ICON Lab Omid Abari Assistant Professor, Computer Science Director, ICON Lab University of Waterloo Email: omid.abari@uwaterloo.ca Office: DC 3510 Research Interests: I work in the area of wireless networks and mobile systems, with applications to the Internet of Things (IoT). My research group focuses on the design and implementation of software-hardware systems that deliver ubiquitous sensing, computing, and communications at scale. We borrow techniques from diverse areas including computer networks, machine learning, signal processing, circuit design, and HCI. Short Bio: I am an Assistant Professor at the University of Waterloo, School of Computer Science. I received my PhD in Computer Science from Massachusetts Institute of Technology (MIT), my Masters in Electrical Engineering from MIT and my Bachelors in Communications Engineering from Carleton University, Canada. Awards: 2017: ACM Student Research Competition (SRC) Grand Finals Winner 2016: Boston Is The Smartest City (BITS) Competition Winner 2016: ACM MobiCom Student Research Competition (SRC) Winner 2016: Qualcomm Innovation Fellowship Finalist 2015: ACM Student Research Competition (SRC) Grand Finals Winner 2014: ACM MobiCom Student Research Competition (SRC) Winner 2013: NSERC Alexander Graham Bell Canada Graduate Scholarship 2012: Qualcomm Innovation Fellowship Finalist 2012: Microsystems Annual Research Conference Best Presentation Award 2011: Merrill Lynch Fellowship 2010: Senate Medal for Outstanding Academic Achievement 2010: NSERC Alexander Graham Bell Canada Graduate Scholarship 2010: NSERC Undergraduate Student Research Award 2010: Ontario Professional Engineers Foundation for Education Scholarship 2009: NSERC Undergraduate Student Research Award 2009: Hyman Soloway Scholarship 2009: Ahluwalia Scholarship 2008: NSERC Undergraduate Student Research Award 2008: Sprott Scholarship 2008: David C. Coll Scholarship in Communications Engineering 2007-2010: Dean's Honour List, Carleton University NSERC: Natural Sciences and Engineering Research Council of Canada In The News: 2018 MIT News: A GPS for inside your body 2017 IEEE Spectrum: E-ZPass Could Kickstart Smart Cities 2016 Wired: MIT's Brilliant Trick to Make VR Go Wireless 2016 IEEE Spectrum: Programmable Millimeter-wave Mirror Makes VR Wireless 2016 Yahoo News, Popular Mechanics: New Blazing-Fast Wireless Tech Could Mean Cordless VR 2016 The Inquirer: MIT's New MoVR Tech Cuts the Cord on Virtual Reality Headsets 2016 Nature World News: Millimeter Wave, Scientists Work on Tech Faster than Wi-Fi for Virtual Reality 2016 Engadget: MIT is Trying to Crack Wireless VR, too 2016 New Scientist: How High-End Virtual Reality Headsets Could Lose the Cables 2016 MIT News: Enabling Wireless Virtual Reality 2016 Techcrunch: MIT's New MoVR System Makes Wireless VR Possible with any Headset 2013 MIT News: Toward Practical Compressed Sensing 2013 Phys.org: Vagaries of Real-world Circuitry Affect Performance of Promising New Technique in Signal Processing and Imaging diff --git a/src/data/compiled_bios/2795.txt b/src/data/compiled_bios/2795.txt new file mode 100644 index 0000000000..bd526aae53 --- /dev/null +++ b/src/data/compiled_bios/2795.txt @@ -0,0 +1 @@ + Samer Al-Kiswany Samer Al-Kiswany Assistant Professor David R. Cheriton School of Computer Science University of Waterloo Research Interests At the Distributed Systems Lab our research interests are in the area of computing systems with a special focus on distributed and operating systems. I am interested in building highly efficient systems by leveraging recent advances in hardware technology and by exploiting domain specific optimizations. My current projects focus on building software-defined storage system for workflow applications, exploring fundamental reliability and scheduling problems in the Linux I/O stack, and exploiting recent advances in software-defined networks and multicore platforms to accelerate storage systems. Short Bio I completed my PhD at theNetworked Systems Laboratoryin theElectrical and Computer Engineering Department at The University of British Columbia, advised by Prof.Matei Ripeanu. During my PhD I completed five internships at Microsoft Research Lab, Microsoft Azure, IBM Research, NEC Lab, and Argonne National Lab. After my PhD I joined the Computer Science Department at the University of Wisconsin - Madison as a postdoc, working with Prof.Andrea Arpaci-Dusseauand Prof.Remzi Arpaci-Dusseau, and theADSLresearch group. Nowadays, I am an Assistant Professor at the David R. Cheriton School of Computer Science at the University of Waterloo. Longer CV can be found here. diff --git a/src/data/compiled_bios/2796.txt b/src/data/compiled_bios/2796.txt new file mode 100644 index 0000000000..8c3a13985c --- /dev/null +++ b/src/data/compiled_bios/2796.txt @@ -0,0 +1 @@ +Jo Atlee Jo(anne) M. Atlee Professor School of Computer Science University of Waterloo 200 University Ave. West Waterloo, Ontario N2L 3G1 CANADA Email: jmatlee@uwaterloo.ca Office: DC 2337 Phone: (+1) 519 888 4567 x34871 Fax: (+1) 519 885 1208 Interests: software specification, requirements, composition, model checking, feature interactions, software engineering education and professionalism Home Research Publications Presentations Students Teaching Resume / CV UW Software Engineering BSE Program SE Research Group WatForm SWAG CSG SE Conferences I am interested in all aspects of software modelling, documentation, and analysis. I am particularly interested in what I call practical formalisms -- specification and design notations that are practitioner-friendly and yet have a precise semantics that is suitable for automated analysis. Much of my research work has focused on computer-aided tools and techniques for analyzing software requirements and specifications. My students and I work with model checkers and reachability analyzers, to exhaustively check that a software specification adheres to desired system properties (e.g., safety, liveness, and timing properties, expressed as logic formulae). These tools hold the promise of providing to software practitioners push-button mathematical verification of their specifications and designs. However, such verification is computationally expensive in both space and time, so much of our work involves understanding how to structure and abstract specifications to make their model checking feasible. Recent work looks at how to generate notation-specific analysis tools from a template definition of a notation's semantics -- in the manner that we currently generate parsers from grammar definitions. Recently, I have been working with WatForm colleagues on how to support the rapid development of new services from distributed, modular components. Ideally, modular components do not need to know about each other to cooperate. However, modular components and features can subtly interfere with each other because they override the same application and manipulate the same data. We are experimenting with theories, architectures, design conventions, and analysis techniques that help to ensure that independently developed features inter-operate well. 2005 J.M. Atlee Updated: 11.12.05... . diff --git a/src/data/compiled_bios/2797.txt b/src/data/compiled_bios/2797.txt new file mode 100644 index 0000000000..608f50b739 --- /dev/null +++ b/src/data/compiled_bios/2797.txt @@ -0,0 +1 @@ +Gladimir Baranoski Natural Phenomena Simulation Group University of Waterloo Home News Members Research Data Models Guides Gallery Misc. Contact Gladimir V. G. Baranoski Gladimir V. G. Baranoski is a Professor at the School of Computer Science, University of Waterloo, Canada. His current research interests include the predictive simulation of light interactions with organic materials and the biophysically-based rendering of natural phenomena. The results of his research have been made available to the scientific community through the publication of articles in journals and conference proceedings in computer graphics and related fields such as applied optics and remote sensing. University of Waterloo . 200 University Avenue West . Waterloo, Ontario, Canada N2L 3G1 . 519 888 4567 For suggestions and reproduction inquires, please contact Gladimir V. G. Baranoski. diff --git a/src/data/compiled_bios/2798.txt b/src/data/compiled_bios/2798.txt new file mode 100644 index 0000000000..808c4d2dda --- /dev/null +++ b/src/data/compiled_bios/2798.txt @@ -0,0 +1 @@ +Christopher Batty Christopher BattyAssistant Professor Ph.D. UBC '10, B.C.Sc. Manitoba '04 Scientific Computation Group and Computer Graphics Lab David R. Cheriton School of Computer Science, University of Waterloo E-mail: christopher.batty@uwaterloo.ca Office: 3605 Davis Centre (DC3605) Brief Bio Google Scholar DBLP Twitter Join my lab, the Computational Motion Group: I am always looking for highly motivated and hard-working Master's and PhD students to work with, as well as current Waterloo Undergraduates. Follow the link to learn more. Recent news: I was thrilled to receive a Faculty of Science Honoured Alumni award for Achievement in Computer Science from my undergraduate institute, the University of Manitoba. (Jan 31, 2019) Jade Marcoux-Ouellet has completed her MMath thesis. Congratulations! (Dec 19, 2018) I'll be a program co-chair for the 2019 Symposium on Computer Animation in Los Angeles. Submit your work! (Sept 16, 2018) Our lab's work was highlighted in a recent article in Motherboard and on Waterloo's home page. I've joined the ACM Transactions on Graphics board as an Associate Editor. Looking forward to reading some great submissions. (June 15, 2018) Our paper on wet fabric simulation, led by Columbia PhD student Raymond Fei, will appear at SIGGRAPH 2018! (March 28, 2018) Animations: Research: I pursue research in Physics-Based Animation, which combines computer graphics and computational physics see our Perspective piece in Science for an overview, or this Motherboard article for a more fun take. My students and I comprise the Computational Motion Group at Waterloo, and we are affiliated with the Computer Graphics Lab and the Scientific Computation Group. Our research often focuses on the simulation of liquids and gases, but I'm broadly interested in physical simulation as a tool for generating, controlling, and predicting motion of all kinds. I strive to design algorithms that are supported by sound physical, mathematical, and geometric principles, while being amenable to efficient and robust practical implementation. I have developed methods for... interactions between dynamic objects (e.g., hair, cloth, elastic bodies, rigid bodies) and fluids animating and representing thin splashes and droplets viscous and non-Newtonian liquids which display exotic behaviours like coiling and bouncing surface tension-driven phenomena, including small-scale liquids, bubbles, and foams solving PDEs in a spatially adaptive fashion, especially on tetrahedra and quad/octrees evolving multimaterial flows and geometries Applications in the animation and visual effects industries motivate much of my work. My students and I collaborate with Side Effects Software (makers of Houdini), and I have previously worked with Weta Digital, Exocortex Technologies, and the (now-defunct VFX division of) Frantic Films. Aspects of my research have been incorporated into major fluid animation software packages by Side Effects Software (Houdini), Blender (Flip Fluids), AutoDesk (Maya/Bifrost), Exocortex Technologies (MaelstromFX), and Navi (EFFEX), and as a result have contributed to dozens of movies from major studios. While at Frantic Films, I personally worked on Superman Returns, Scooby Doo 2: Monsters Unleashed, and Wes Craven's Cursed. I created and continue to manage the Physics-Based Animation blog, which catalogues papers, people, and software in this area. I have also collected links to a few pieces of advice for students that you may (or may not) find useful. Publications: A Multi-Scale Model for Simulating Liquid-Fabric Interactions Y. Fei, C. Batty, C. Zheng, & E. Grinspun. To appear in ACM SIGGRAPH 2018 (Transactions on Graphics). A numerical method based on mixture theory to animate wetting effects of permeable cloth and yarn-based fabrics interacting with water, including diffusion, drag, capture, and dripping. [Paper (PDF)] [Supplemental (PDF)] [Project] [Code (Github)] [Compressed Video (MP4, 40MB)] [Full Video (MP4, 1.5GB)] Power Diagrams and Sparse Paged Grids for High Resolution Adaptive Liquids M. Aanjaneya*, M. Gao*, H. Liu, C. Batty, E. Sifakis. ACM SIGGRAPH 2017 (Transactions on Graphics, 36(4), 2017). (*Joint first authors.) A method for adaptive staggered octree liquid simulation allowing the surface to cut arbitrarily through level transitions, using power diagrams for accuracy and the SPGrid data structure for efficiency. [PDF] [Project] [Video(200MB)] [Supplemental PDF] Variational Stokes: A Unified Pressure-Viscosity Solver for Accurate Viscous Liquids E. Larionov*, C. Batty*, & R. Bridson. ACM SIGGRAPH 2017 (Transactions on Graphics, 36(4), 2017). (*Joint first authors.) By solving pressure and viscosity simultaneously (i.e., a Stokes problem), we more accurately simulate viscous liquids, e.g., recovering the classic liquid rope coiling instability of honey and molasses. [PDF] [Project] [YouTube] [Supplemental PDF] [Main Video(200MB)] [Supplemental Video(54MB)] [Two Minute Papers episode] A Multi-Scale Model for Simulating Liquid-Hair Interactions Y. Fei, H. Maia, C. Batty, C. Zheng, & E. Grinspun. ACM SIGGRAPH 2017 (Transactions on Graphics, 36(4), 2017). We combine a grid-based liquid simulator, a discrete elastic rod hair model, and a new reduced-dimensional model for liquid adhering to the hair, to animate a variety of liquid-hair effects. [Project] [PDF] [Supplemental PDF] [YouTube] [Video(2.1GB)] [Two Minute Papers episode] A Positive-Definite Cut-Cell Method for Strong Two-Way Coupling Between Fluids and Deformable Bodies O. Zarifi & C. Batty. ACM SIGGRAPH/Eurographics Symposium on Computer Animation 2017. We extend a common family of cut-cell methods [Roble2005,Batty2007,Ng2009,Azevedo2016,etc] to deformable-fluid coupling while ensuring the linear systems remain symmetric positive-definite. [PDF] [Video] A cell-centred finite volume method for the Poisson problem on non-graded quadtrees with second order accurate gradients C. Batty. Journal of Computational Physics, 331, 2017. The first cell-centred finite volume method for the variable-coefficient Poisson problem on quadtree grids with no grading restrictions whatsoever between neighbouring cells that provides second order accuracy in the solution and its gradients. [Preprint PDF] [Journal] Surface-Only Liquids F. Da, D. Hahn, C. Batty, C. Wojtan, & E. Grinspun. ACM SIGGRAPH 2016 (Transactions on Graphics, 35(4), 2016). By building on boundary element techniques, we are able to simulate surface-tension dominated liquid effects, such as droplet collisions, fluid chains, and crown splashes, using velocity data defined only on a triangulated surface mesh. [Project] [PDF] [Video] [YouTube] [Journal] [Two Minute Papers episode] Preserving Geometry and Topology for Fluid Flows with Thin Obstacles and Narrow Gaps V. Azevedo, C. Batty, & M. Oliveira. ACM SIGGRAPH 2016 (Transactions on Graphics, 35(4), 2016). We describe techniques to improve the treatment of fluid flows around arbitrarily thin solids and thin gaps in regular grid fluid simulations, including a topology-aware graph-based pressure projection for sub-grid flows and a conforming velocity interpolant to improve particle trajectories in polyhedral cut cells. [PDF] [Video] [Project] [Journal] [YouTube] A Practical Method for High-Resolution Embedded Liquid Surfaces R. Goldade, C. Batty, & C. Wojtan. Eurographics 2016 (Computer Graphics Forum, 35(2), 2016). We describe a trio of practical and efficient techniques that drastically improve the simulation quality achieved when using narrow-band high-resolution level set surfaces embedded within inexpensive low-resolution fluid simulations. [Project] [PDF] [Video] [YouTube] [Journal] Continuum Foam: A Material Point Method for Shear-Dependent Flows Y. Yue, B. Smith, C. Batty, C. Zheng, & E. Grinspun. ACM Transactions on Graphics, 34(5), 2015 (presented at SIGGRAPH Asia 2015). A material point method for animating the behavior of dense foams, such as whip cream or shaving cream, using a continuum-based non-Newtonian fluid model that supports shear thinning effects. Our model also supports shear thickening, which enables the animation of unusual materials like silly putty or "oobleck". [PDF] [Project] [YouTube] [Journal] Double Bubbles Sans Toil and Trouble: Discrete Circulation-Preserving Vortex Sheets for Soap Films and Foams F. Da, C. Batty, C. Wojtan, & E. Grinspun. ACM SIGGRAPH 2015 (Transactions on Graphics, 34(4), 2015). A "surface-only" method for simulating the complex dynamics of soap bubbles and foams, using a vortex sheet method with surface tension forces on a non-manifold triangle mesh. [PDF] [Project] [Video] [YouTube] [Journal] Multimaterial Mesh-Based Surface Tracking F. Da, C. Batty, & E. Grinspun. ACM SIGGRAPH 2014 (Transactions on Graphics, 33(4), 2014). The first collision-safe triangle mesh-based surface tracking method for evolving multimaterial geometries, including strategies for multimaterial topological changes: merging, splitting, and the foam-type operations known as T1 and T2 processes. [PDF - High] [PDF - Low] [Project] [Video] [Code] [Journal] [Two Minute Papers episode] Discrete Viscous Sheets C. Batty, A. Uribe, B. Audoly, & E. Grinspun. ACM SIGGRAPH 2012 (Transactions on Graphics, 31(4), 2012). A method for animating thin sheets of highly viscous liquid, drawing on and extending techniques from the simulation of thin shells and cloth. [PDF] [Project] [Video] [Journal] A Simple Finite Volume Method for Adaptive Viscous Liquids C. Batty & B. Houston. ACM SIGGRAPH/Eurographics Symposium on Computer Animation 2011. An Eulerian approach to achieve higher detail animations of high viscosity liquid behaviour (buckling, coiling, etc.) on structured tetrahedral meshes. [PDF] [Journal] [Video] Matching Fluid Simulation Elements to Surface Geometry and Topology T. Brochu, C. Batty, & R. Bridson. ACM SIGGRAPH 2010 (Transactions on Graphics, 29(4), 2010). By adding simulation degrees of freedom exactly where they provide the most benefit, and using a triangle mesh-based surface representation, we show how to achieve much greater detail in liquid animations. [PDF] [Project] [Journal] Tetrahedral Embedded Boundary Methods for Accurate and Flexible Adaptive Fluids C. Batty, S. Xenos, & B. Houston. Eurographics 2010 (Computer Graphics Forum, 29(2), 2010). This paper demonstrates that combining embedded boundary methods with tetrahedra-based fluid simulation enables spatially adaptive liquid simulation with more accurate enforcement of air and solid boundary conditions. [PDF] [Project] [Journal] Accurate Viscous Free Surfaces for Buckling, Coiling and Rotating Liquids C. Batty & R. Bridson. ACM SIGGRAPH/Eurographics Symposium on Computer Animation 2008. A simple method to enforce physically correct forces at the surface of viscous liquids, such as honey or syrup, which in turn lets us reproduce previously very difficult effects like buckling, coiling, and rotational motion. [PDF] [Project] [Journal] A Fast Variational Framework for Accurate Solid-Fluid Coupling C. Batty, F. Bertails, & R. Bridson. ACM SIGGRAPH 2007 (Transactions on Graphics, 26(3), 2007). An optimization-based framework for accurately incorporating irregularly shaped rigid objects into standard grid-based fluid simulations, eliminating spurious "stairstep" artifacts and leakage that plagued previous methods. [PDF] [Project] [Journal] Hierarchical RLE Level Set: A Compact and Versatile Deformable Surface Representation B. Houston, M. Nielsen, C. Batty, O. Nilsson, & K. Museth. ACM Transactions on Graphics, 25(1), 2006. A compressed representation of level set implicit surfaces that avoids storing and processing irrelevant data far from the surface itself, allowing more efficient treatment of operations like morphing and liquid surface tracking. [PDF] [Project] [Journal] Short(er) Papers, Technical Briefs, Sketches, Theses, etc.: Spatially Adaptive Long-Term Semi-Lagrangian Method for Accurate Velocity Advection T. Sato, C. Batty, T. Igarashi, & R. Ando. Computational Visual Media, 2018. A velocity advection technique that traces back multiple steps and accounts for pressure gradients to reduce numerical dissipation caused by frequent interpolation. [PDF] [Video] [YouTube] [Project] Regional Time Stepping for SPH P. Goswami & C. Batty. Eurographics Short Papers, 2014. A method to accelerate weakly compressible SPH simulations by exploiting spatially varying, asynchronous time integration. [PDF] [Journal] Computational Physics in Film R. Bridson & C. Batty. Science 330(6012), 2010. A perspective piece on the increasingly common use of physical simulation in visual effects for film, along with discussion of some major challenges that remain. [PDF] [Journal] Simulating Viscous Incompressible Fluids with Embedded Boundary Finite Difference Methods C. Batty. PhD Thesis, University of British Columbia. [PDF] [Thesis Repository] Visual Simulation of Wispy Smoke C. Batty & B. Houston. ACM SIGGRAPH Sketches, 2005. A description of the smoke simulation techniques used on Wes Craven's werewolf movie Cursed. [PDF] [Project] [Journal] Gigantic Deformable Surfaces B. Houston, M. Nielsen, C. Batty, O. Nilsson, & K. Museth. ACM SIGGRAPH Sketches, 2005. A preview of the HRLE level set described more fully in the TOG paper above. [PDF] [Project] [Journal] RLE Sparse Level Sets B. Houston, M. Wiebe, & C. Batty. ACM SIGGRAPH Sketches, 2004. A compressed level set representation that was the precursor to the eventual HRLE level set above. [PDF] [Project] [Journal] Student Supervision: I work with a team of skilled and dedicated graduate students who collectively comprise the Computational Motion Group.(Join us!) Current: Jumyung Chang (PhD program) Ryan Goldade (PhD program) Yu Gu (PhD program) Michael Honke (MMath program) Nathan King (PhD program) Jonathan Panuelos (MMath program) Past: Jade Marcoux-Ouellet (MMath, 2019). On to Ubisoft. Yipeng Wang (MMath, 2018). On to Snapchat. Omar Zarifi (MMath, 2017). On to Side Effects Software. Vinicius C. Azevedo (PhD, Universidade Federal do Rio Grande do Sul, 2016, co-advised with Manuel Oliveira). On to postdoc at ETH Zurich. Fang Da (PhD, Columbia, 2016, co-advised with Eitan Grinspun). On to Waymo (Google's self-driving car initiative). Egor Larionov (MMath, 2016). On to PhD at UBC (formerly at Side Effects Software and Vital Mechanics). Filipe de Carvalho Nascimento (visiting Master's student, from Universidade de Sao Paulo, advisor Afonso Paiva). Andres Uribe (Masters, 2012, Columbia, co-advised with Eitan Grinspun). On to Google. Teaching: CS888 Advanced Topics in Computer Graphics: Physics-Based Animation - Winter 2019 CS370 Numerical Computation - Fall 2018 CS370 Numerical Computation - Spring 2018 CS370 Numerical Computation - Winter 2017 CS370 Numerical Computation - Spring 2016 CS888 Advanced Topics in Computer Graphics: Physics-Based Animation - Winter 2016 CS475 Computational Linear Algebra - Spring 2015 CS370 Numerical Computation - Fall 2014 CS888 Advanced Topics in Computer Graphics: Physics-Based Animation - Winter 2014 Old Slides on Fluids: A friendly introduction to Eulerian fluid animation for computer graphics. Part One PPTX PDF Part Two PPTX PDF Code and Data: Below you'll find miscellaneous sample code and data from some of my projects; in other cases you can find the code for a given publication on its associated project page (linked above). Buyer beware, of course, but I'd love to hear from you if you do put any of it to use! Los Topos The code for our multimaterial mesh-based surface tracking library, as described in our appropriately-named SIGGRAPH 2014 paper "Multimaterial Mesh-Based Surface Tracking". It generalizes and extends the original El Topo framework of Tyson Brochu and Robert Bridson to the case of multiple materials, and includes an improved merging strategy that is effective even in the standard two-material case. Non-manifold Simplicial Complex Mesh Library vv This is my own implementation of a non-manifold simplicial complex-based mesh library, including arbitrary data associated to vertices, edges, triangles and tetrahedra. It's essentially my spin on the data structure outlined in "Building Your Own DEC at Home" with an API similar to "Design, Implementation, and Evaluation of the Surface_mesh Data Structure". The main goal is to allow non-manifold geometry and mixed dimensional components (tets, tris, segments), while being relatively simple to manipulate. It's a work in progress and not currently being maintained. [GitHub link] 3D Liquid Simulator code A minimal grid-based 3D liquid simulator and OpenGL viewer, using semi-Lagrangian advection, volumetric particles for the liquid, ghost fluid free surface conditions, and support for irregular solid boundaries using the variational/finite-volume approach from our SIG'07 paper. The only dependencies should be the GLUT library, so it's hopefully easy to set up and experiment with. Here's a sample clip. Update: I also added another version with our variational viscosity technique implemented in 3D. [Inviscid code, on GitHub] [With viscosity, on GitHub] 2D Variational Viscosity code Sample code illustrating how to use our variational viscosity discretization to support rotation and buckling and variable viscosity within the liquid solver below. (The link for the comparable 3D code is above.) [Github link] 2D Variational Pressure Projection with Rigid Body Coupling code Sample codes illustrating how to use our variational pressure projection to support static irregular geometry within a very simple 2D "stable fluids" style fluid solver. Air - Single phase fluid solver with static obstacles. Liquid - Free surface liquid solver with static obstacles. This code combines our irregular solid boundary discretization with the 2nd order free surface pressure boundary condition of Enright et al. 2003. NEW Liquid with a Rigid Body - I've recently added two-way rigid body coupling, and posted this to Github. SDFGen: Signed Distance Field Generator for triangle meshes A simple command-line utility to construct a signed distance field from a triangle mesh, which is often useful for physics-based animation, such as in processing collisions for rigid objects. [Github link] Watertight Stanford bunny I ran into some problems due to the holes in the bunny, and since I couldn't find a watertight version online, I made one myself (for non-commercial use, of course). It's also in OBJ format, rather than the original PLY. Thanks to the Stanford 3D Scanning Repository for the original model. 2D Polygon Moment of Inertia Tensor Code I couldn't find any convenient code for computing 2D inertia tensors from the vertices and edges of a simple polygon, so I adapted/specialized Michael Kallay's excellent 3D code from the Journal of Graphics Tools article Computing the Moment of Inertia of a Solid Defined by a Triangle Mesh. The article mentions how to handle 2D bodies, but the accompanying code supports only 3D objects. My code provides the corresponding 2D implementation, while retaining the speed, brevity, and clarity of the original. Higher Order Data Extrapolation in the Normal Direction A sample Matlab implementation of quadratic extrapolation in the normal direction of a function from a region defined by a given signed distance function into a surrounding undefined region, essentially following Ng et al. 2009, Min & Gibou 2007, and Aslam 2003. This can be useful for extrapolating known velocities from a fluid region into a solid region, such as in the Ghost Fluid Method, for example. [Note: I haven't actually rigourously verified the target order of convergence is achieved.] Background: For two years following my PhD (2011-2013) I was a postdoc in the Computer Science Department at the Columbia University in New York City, supported by an NSERC Banting Fellowship. My advisor was Dr. Eitan Grinspun. My PhD is from the Computer Science Department at the University of British Columbia in Vancouver, BC. I worked under the supervision of Dr. Robert Bridson, beginning in 2005 and defending in 2010. During my degree I also did some work for Ottawa-based Exocortex Technologies, Weta Digital in New Zealand, and Intel's Applications Research Lab in Santa Clara, California. Prior to my academic career, I spent 2004-2005 working at former Winnipeg-based visual effects studio, Frantic Films, where I was a Software Engineer in Research and Development. My job was to develop physics tools for artists based on recent academic research, including smoke, water, and rigid and deformable bodies. These tools were used on various films, including Superman Returns, Scooby-Doo 2: Monsters Unleashed, and Cursed. (Much of the software division is now at Thinkbox Software.) I'm a graduate of the Computer Science Honours Co-op program at the University of Manitoba, having completed my Bachelor of Computer Science degree in the fall of 2003. In addition to Frantic Films, I also interned at OTI (original developers of Eclipse, now a subset of IBM) and Protegra, Inc. Miscellaneous: Some old stray thoughts about the problem of reconstructing tri-meshes from signed distances. diff --git a/src/data/compiled_bios/2799.txt b/src/data/compiled_bios/2799.txt new file mode 100644 index 0000000000..d3cdd8efeb --- /dev/null +++ b/src/data/compiled_bios/2799.txt @@ -0,0 +1 @@ +Shai Ben-David Shai Ben-David Professor School of Computer Science Universitys of Waterloo 200 University Avenue West Waterloo, Ontario, Canada, N2L 3G1 Email: "MyFirstName"@cs.uwaterloo.ca Phone: +1 519 888 4567 ext. 37523 Fax: +1 519 885-1208 Home Publications Talks Professional Activities Teaching Students Personal Academic Biography Shai Ben-David grew up in Jerusalem, Israel. He attended the Hebrew University studying physics, mathematics and psychology. He received his PhD under the supervision of Saharon Shelah and Menachem Magidor for a thesis in set theory. Professor Ben-David was a postdoctoral fellow at the University of Toronto in the Mathematics and the Computer Science departments, and in 1987 joined the faculty of the CS Department at the Technion (Israel Institute of Technology). He held visiting faculty positions at the Australian National University in Canberra (1997-8) and at Cornell University (2001-2004). In August 2004 he joined the School of Computer Science at the University of Waterloo. Research Interests My research interests span a wide spectrum of topics in the foundations of computer science and its applications, with a particular emphasis on statistical and computational machine learning. The common thread throughout my research is aiming to provide mathematical formulation and understanding of real world problems. In particular, I have been looking at popular machine learning and data mining paradigms that seem to lack clear theoretical justification. Projects Theoretical Foundations of Clustering Domain Adaptation Alternative Measures of Computational Complexity The Use of Unlabeled Data in Classification Tasks diff --git a/src/data/compiled_bios/28.txt b/src/data/compiled_bios/28.txt new file mode 100644 index 0000000000..0b117ec472 --- /dev/null +++ b/src/data/compiled_bios/28.txt @@ -0,0 +1 @@ + Wai-Tat Fu Associate Professor 4226 Siebel Center for Comp Sci 201 N. Goodwin Ave. Urbana Illinois 61801 (217) 244-8617 wfu@illinois.edu : Research Areas Graphics, Visualization and HCI . Research Areas Graphics, Visualization and HCI . . . diff --git a/src/data/compiled_bios/280.txt b/src/data/compiled_bios/280.txt new file mode 100644 index 0000000000..e853b1a589 --- /dev/null +++ b/src/data/compiled_bios/280.txt @@ -0,0 +1 @@ + I am an assistant teaching professor with the Department of Computer Science at Georgetown University. While not teaching I am a part-time information technology consultant providing computer and technology services to small businesses, government agencies, and non-profit organizations. Home | CV | Publications | Links | Teaching | Contact diff --git a/src/data/compiled_bios/2800.txt b/src/data/compiled_bios/2800.txt new file mode 100644 index 0000000000..6c0cb9047f --- /dev/null +++ b/src/data/compiled_bios/2800.txt @@ -0,0 +1 @@ +Daniel M. Berry's Home Page Daniel M. Berry's Home Page Daniel M. Berry For a higher resolution, much larger version, of the same For a larger older picture For an even larger older picture For a huge picture For the previous main picture For the previous, previous main picture For the previous, previous, previous main picture Daniel M. Berry's Current Affiliation University of Waterloo Cheriton School of Computer Science Contents of This Page Research in Software Engineering, Requirements Engineering, and Electronic Publishing Handbook of ambiguities in requirements specifications and legal contracts Education and brief biography Full resume, on-line copies Bibliography, including reprints and on-line copies Lectures that I am willing to come and give Teaching, courses that I have taught and that I am teaching Reaching and finding me at work and at home Hobbies Thanksgiving turkey, why we eat turkey on Thanksgiving NOW INVALID: Where to get GOOD, genuine New York bagels in Kitchener-Waterloo Biblical commentary I have written My contribution to The Annals of Improbable Research's Universal History Translation Project My advice on how to avoid jet lag My advice on how to finish your Ph.D. Me in Full Academic Regalia at a PhD Defense in Europe Caricatures that have been drawn of me About my hearing and why I do not speak Hebrew Directions to Haifa and the Technion For old time's sake, my old .plan file Research in Software Engineering, Requirements Engineering, and Electronic Publishing I conduct and supervise research in Software Engineering including the following topics: Inevitable Pain of Software Development Requirements Engineering Understanding Roles in Requirements Engineering Importance of Ignorance and the Role of an Ignoramus in Requirements Engineering House Building as a Metaphor for Software Engineering Emotions, Values, and Beliefs in Requirements Engineering The Customer's Role in Requirements Engineering Empirical Observations of Requirements Engineering Natural Language in Requirements Engineering Abstraction Identification Ambiguity in Natural Language Requirements Specifications The Dangerous ``All'' in Natural Language Requirements Specifications User's Manuals as Requirements Specifications Multimedia Hypermedia Requirements Identification Protyping to Requirements Requirements Engineering of Software for the Handicapped Electronic Publishing Multi-Lingual Text Processing Dynamic Fonts for Typesetting Calligraphy, especially for Arabic, Hebrew, Persian, and Urdu WYSIWYG-Batch Pic and the Evaluation of its User-Interface ASCII Server for Windowed Applications Bi-Directional VIM for Arabic, Hebrew, Persian, and Urdu Look at explanations, research and thesis topics, and goals. As part of this research, I participate in one international organization: International Federation for Information Processing (IFIP) Working Group (WG) 2.9, Requirements Engineering My research is done as part of more than one laboratory at Waterloo: Computer Systems Group Software Engineering Laboratory To see URLs of research related Web sites: I am on the editorial boards of: Requirements Engineering Journal published by Springer-Verlag Empirical Software Engineering Journal published by Springer-Verlag Science of Computer Programming published by Springer-Verlag I maintain the website of the RE (International Requirements Engineering Conference) series. The current instantiation of this series: 27th IEEE International Requirements Engineering Conference, 23 -- 27 September 2019, Jeju Island, South Korea Handbook of Ambiguities in Requirements Specifications and Legal Contracts Two computer scientists (Erik Kamsties and I) and one lawyer--computer scientist (Mickey Krieger) have written ``From Contract Drafting to Software Specification: Linguistic Sources of Ambiguity, A Handbook''. This handbook is intended to be a living document. We invite comments, additional examples, etc. from readers. If you wish to provide translations of the examples into equally ambiguous sentences in other languages, please contact me (just to make sure that someone else is not already doing it!). As we get these translations, we shall add them to the original document or make them available as separate documents or both! Education and Brief Biography Ph.D., Computer Science, Brown University, 1974 B.S., Mathematics, Rensselaer Polytechnic Institute, 1969 A Brief Biography Full resume Full Resume in PDF form Bibliography Published Papers (Hard-Copy Reprints Available for Some and On-Line Copies Available for Some) Erik Kamsties and I have written a chapter titled ``Ambiguity in Requirements Specification'' in a book, edited by Julio Leite and Jorge Doorn, titled Perspectives on Software Requirements, published by Kluwer, with table of contents . Lectures I give a number of socko lectures that are guaranteed to enliven an audience and to knock everyone's socks off. If you want me to give one of these and are willing to pay my travel expenses and a modest honorarium, send e-mail to me to make arrangements. See the abstracts of possible lectures to help choose one. The three most popular these days are ``The Inevitable Pain of Software Development: Why There Is No Silver Bullet'', ``Formal Methods, the Very Idea, Some Thoughts'', and ``Requirements Engineering Lessons from House Building''. These are based on papers that I have written, which you can find by searching for the words ``The Inevitable Pain of Software Development'', ``Formal Methods, the Very Idea, Some Thoughts on Why They Work When They Work'', ``Creep'', and ``Adventures'' (there are several versions of the first two) in the bibliography. One of my sets of slides have been made public, with my permission, by WeberDev.com. You might want to look at them. Better yet, you might want me to come to deliver these slides in person; they are so much better in person. It has been said that I am very energetic during my lectures, that I move around a lot during my ``dance'' routine. At CMU's SEI, they were videotaping whole courses as I taught them. I was told that following my dancing around wore out several video camera servo mechanisms and that following my dancing with the camera was good training for televising hockey games with their fast moving pucks. You might wish to see three ``still'' photos of me giving a lecture at PUC in Rio de Janeiro, taken on 1 August 2003 by Leonardo Cunha. In the first, my hand and mouth are a blur, in the second, my arm is a blur, and in the third, I am in a rare quiescent state. Teaching Technion: MATAM--Introduction to System Programming (Winter 1996) Software Engineering Methods (Spring 1997) Seminar: Electronic Publishing (Spring 1997) Seminar: Requirements Engineering (Winter 1997) Seminar: Full Year SE Lab: Requirements Engineering of WD-PIC (Winter 1997) Waterloo: Software Abstraction and Specification (CS246) (Spring 2000) ( Permanent Course Web Page) Software Requirements and Specification (ECE451/CS445/CS645) Software Requirements and Specification (SE463) Social Implications of Computing (CS492/CS692) Advanced Topics in Requirements Engineering (CS846) Advanced Topics in Electronic Publishing (CS846) Reaching Me Work Address Cheriton School of Computer Science University of Waterloo, 200 University Ave. West Waterloo, Ontario N2L 3G1 Canada None: I do not hear well enough to hear on the phone; so faxing or e-mailing me is better) fax: +1-519-888-4305 (or if that does not work, then try +1-519-746-5422) e-mail address My office is where? My office is 3329 Davis Centre. This room is in the Computer Systems Group suite, which is on the third floor, just above the Cheriton School of Computer Science's main office on the second floor. Home Address 11-522 Beechwood Drive Waterloo, Ontario N2T 2G9 Canada Directions to my house assuming that you are already in Waterloo telefax: 1-519-885-7222 I do not hear well enought to hear on the phone. Therefore, even if I am at home, I do not answer the phone unless I am expecting your call at the time of the call. Regardless of what the answering machine says, do not leave a recorded message for me . Instead, send me a fax over the same line or send me e-mail Hobbies My hobbies are skiing, skating, swimming, Star Trek, cooking, and reading Mad Magazine, Annals of Improbable Research, and about Cosmology. Thanksgiving Turkey A scholarly paper on why North American folk eat turkey on Thanksgiving Day (PDF/Acrobat form) A scholarly lecture on why North American folk eat turkey on Thanksgiving Day (PDF/Acrobat form) An alternative explanation of the origins of the U.S. Thanksgiving. Enjoy! A well-researched article about the many names of the turkey and why, in any place, it tended to be named as a bird from another place. It covers many of the same names that my article does. It does reveal something of which I was not aware, that the bird originated in Mexico. Wow, and not one place has named the bird ``Mexican Bird''. Also, in this article, the bird is eaten for Christmas. Enjoy! NO LONGER VALID: Where to Get GOOD, Genuine New York Bagels in Kitchener-Waterloo I am sad to report that the store mentioned below went out of business at the end of April 2015, after 35 years in business. A letter to the local newspaper in October 2000 about the Best Bagel in Kitchener-Waterloo, Rise and Shine Bagels at 52 Bridgeport East, Waterloo, which is open Fridays and Saturdays 7:30am--2:00pm A LiVEJOURNAL discussion on bagels in Kitchener-Waterloo. An article by Jennifer Ormston in the 26 December 2007 issue of Waterloo Chronicle Business section on Rise and Shine Bagel. I agree with Brian's assessment that the bagels available in supermarkets and other stores are no replacement for his New York style bagels. Biblical Commentary I have written and published some biblical commentary, titled ``Understanding the Beginning of Genesis: Just How Many Beginnings Were There?'' in the Jewish Bible Quarterly 31:2, pp. 90--93 (2003). Unfortunately, the article is not available online. However, you can send e-mail to me for a reprint. A larger technical report (excuse the CS-ese) from which the published paper is derived is available in PDF/Acrobat form or in compressed PS form. The published paper covers up through the end of the section titled ``A Semantic Solution''. The Annals of Improbable Research's Universal History Translation Project My contribution to the The Annals of Improbable Research's Universal History Translation Project was to coordinate and participate in the translation of the The History of the Universe in 200 Words or Less into Hebrew. This job was tricky because in English, with rare exceptions, one of which (``Metals Injection'') is in this document, construct forms, e.g., ``hair cut'' use the singular form of the noun regardless of whether, e.g., all or only one hair is cut. In the Hebrew construct form, one must use a singular or plural noun as is required by the meaning. Thus, we had to clarify with Eric Schulman, the author of the English document, the intent of all of the construct forms, except for the exception mentioned above. My Advice on How to Avoid Jet Lag The anti-jet lag program that I follow, which is my modification of the Argonne National Labs Anti-Jet Lag Program My Advice on How to Finish your Ph.D. My famous lecture giving advice on how to finish that damn Ph.D. (PDF/Acrobat form) If you want to invite me to give this talk, I will be happy to come. Here is an abstract for announcing it. I have read two books that describe the kinds of thinking and the kinds of behaviors that I think are very helpful in someone who is seeking to earn a PhD. Why?: What Makes Us Curious by Mario Livio describes the kind of curiosity that helps find PhD topics. Actually, it describes the kind of curiosity that drives one to doing research which can very naturally and very easily be worthy of a PhD. Livio has other relevant books that are recommended at the same site. Failure: Why Science Is So Successful by Stuart Firestein describes an attitude about one's own incomplete knowledge and mistakes that is necessary to be able to not get discouraged when research leads to a dead end, as it often does. You might wish to look also at lecture slides by Dave Patterson advising on a research or academic career that is one follow-on to getting a Ph.D. The title is ``How to Have a Bad Career In Research/Academia'' You might wish to look also at lecture slides by Steve Easterbrook about how to write a Ph.D. dissertation. The title is ``How Theses Get Written: Some Cool Tips'' You might wish to look also at a whole collection of references to advice about doing research and related activities, gathered by Silvia Miksch. The titles are ``How to Do Research'', ``How to Write a Scientific Paper'', ``How to Present a Scientific Paper'', ``Tips on Organizing Conferences, Workshops, and Symposia'', ``How to Review'', ``Digitial Libaries'', ``Tips for Writing Correct English'', ``University Ranking'', and ``Additional Hints''. You might wish to look also at a 1972 rejection letter from the Communications of the ACM for one of Ben Shneiderman's first submissions. Ben survived and went on to be one of the most famous and prolific researchers in HCI. The site gives some advice on dealing with such brutal rejection letters. You might wish to look at the PhD Comics, by Jorge Cham, for a thorough, but comic exploration of the phenomemon of procrastination among graduate students, Ph.D. students in particular. Matt Might has ``The Illustrated Guide to a Ph.D.'' that clearly explains in pictures exactly how much impact one Ph.D. has on all of human knowledge. This explanation should help any Ph.D. candidate understand the true scope of his or her work and thus to realistically judge the size of the work. Here is an article that reviews what's involved in pursuing one's PhD (Thanks to Abby Murray for bringing this site to my attention). Here is a website describing non-profit universities offering online doctorate programs. This website has no sponsored search or ranking. The main goal is to promote the gems and little known doctoral programs that can be completed online at the world-class non-profit academic institutions. (Thanks to Lukas Pech (lukas_pech@hotmail.com) for bringing this site to my attention.). Me in Full Academic Regalia at a PhD Defense in Europe This is I dressed in full academic regalia (I had to wear dress pants, dress shirt, shoes, and socks underneath.) asking the candidate a question during a PhD defense in Europe. Caricatures that Have Been Drawn of Me A caricature drawn of me in 1985 at Knott's Berry farm (where I was grown :-) ) in Beuna Park, California. I had told the caricaturist that I was a computer science professor at UCLA. He misspelled ``computer'' and mistakenly assumed that I wore a tie and a jacket at work, even though I assured him that the shorts and T-shirt I was wearing that hot summer day was my normal work attire at UCLA. A caricature drawn of me in 2005 at the RE'05 banquet at the Muse des Arts Forains (Museum of Amusement Parks) in Paris, France. See what 20 years has done to me! Here are two photos taken of me while the Parisian caricaturist was drawing me. A caricature drawn by Pete Sawyer of me in 2017 at the RE at 40 Seminar held at the former Monastery at Kappel am Albis, Kloster, Switzerland. He drew it for the benefit of his daugher Gabriella, who had, like I, attended every IEEE RE conference during her lifetime. See what another 12 years has done to me! This is an engraving of the 2005 RE'05 caricature on a beer mug produced and given to me by Jeremy Barbay as a very nice honorarium for the ``How to Finish that Damn Ph.D.'' talk that I gave in May 2017 at Universidad de Chile, in Santiago Chile. Thank you Jeremy for this and your hospitality!!!! About My Hearing and Why I don't speak Hebrew You can learn about my hearing and why I don't speak Hebrew regularly even though I immigrated to Israel in 1987 and occasionally do speak Hebrew. Directions to Haifa and the Technion To see links to maps showing how to get to Technion and Haifa from Ben Gurion Airport For Old Time's Sake If you want to look at the old .plan file, go ahead :-) This page is constructed from recycled ideas and gifs stolen (treated as gifts to me :-)) from other Web pages! The URL of this page is http://se.uwaterloo.ca/~dberry Daniel M. Berry's Home Page / Computer Science Department / University of Waterloo / dberry B' uwaterloo NKUDA ca (anti-spam measure) / Revised 01 July 2003 E-mail Decoys diff --git a/src/data/compiled_bios/2801.txt b/src/data/compiled_bios/2801.txt new file mode 100644 index 0000000000..94ad5af2d8 --- /dev/null +++ b/src/data/compiled_bios/2801.txt @@ -0,0 +1 @@ +Therese Biedl Professor David R. Cheriton School of Computer Science. University of Waterloo 200 University Ave West Waterloo, Ontario N2L 3G1, Canada Office: DC 2341 Phone: 519-888-4567 x 34721 My main research interest lies in algorithms for geometric problems, in particular in computational geometry and planar graphs. CV (PDF) (as of December 2018) I teach courses at all levels, from 1st year CS to graduate courses. Courses I taught recently include cs240 (Data Structures and Data Management), and cs762 (Graph-theoretic algorithms). I supervise students at all levels. To apply: Undergraduate students: Check the URA web page; if no positions with me are listed then I currently have none available. Master's and PhD: You must apply through the official application web site; else I will not consider your application. Direct emails to me will be deleted without consideration. Postdocs and short-term visitors: Contact me by email. (Hint: If I haven't met you or your supervisor, the answer is very likely "no".) diff --git a/src/data/compiled_bios/2802.txt b/src/data/compiled_bios/2802.txt new file mode 100644 index 0000000000..ed3f071770 --- /dev/null +++ b/src/data/compiled_bios/2802.txt @@ -0,0 +1 @@ +Raouf Boutaba @ University of Waterloo Home Biography Publications Chronologically By Area By Type Talks Professional Activities Teaching Projects Research Team Downloads Raouf Boutaba Associate Dean (Research), Faculty of Mathematics Professor, FIEEE, FIEC, FCAE David R. Cheriton School of Computer Science University of Waterloo 200 University Avenue West Waterloo, Ontario, Canada, N2L 3G1 Associated Dean Matters Research, Teaching, and Other Matters Office: MC5248 Office: DC3532 Tel: +1 519 888 4567 x39307 Tel: +1 519 888 4820 Fax: +1 519 888 4302 Fax: +1 519 885 1208 Email: mathres__at__uwaterloo.ca Email: rboutaba__at__uwaterloo.ca Staff:Betty Jacobs (bmjacobs__at__uwaterloo.ca)Tel: +1 519 888 4567 x33247Kim Tremblay (katrembl__at__uwaterloo.ca)Tel: +1 519 888 4567 x33294 Administrative Assistant:Greg McTavish (gmctavish__at__uwaterloo.ca)Tel: +1 519 888 4567 x33570 Research Interests My research interests are focused primarily on the integrated management of networks, systems and services, and on resource management in wired and wireless networks. Applications areas of current interest include network function virtualization, software-defined networks, cloud computing and services, network virtualization, peer-to-peer networks, future Internet architecture, and security and privacy issues in the Internet. What's New May 2012: Faizul Bari awarded the Ontario Graduate Scholarship. April 2012: Dr. Boutaba received the Salah Aidarous Memorial Award. April 2012: Carol Fung received the NSERC Post-Doctoral Fellowship. January 2012: Dr. Boutaba nominated IEEE Fellow for contributions to network management methodologies and applications. Dr. Boutaba is TPC co-chair of the 52nd IEEE International Conference on Communications in Ottawa, Canada, June 10-15, 2012. Dr. Boutaba is General Chair of the 4th IFIP Wireless Days in Niagara Falls, Canada, October 10-12, 2011. September 2011: Dr. Boutaba is one of the Principal Investigator of a 5-year NSERC Network Center of Excellent on Smart Applications on Virtualized Infrastructures. September 2011: Qi Zhang wins a Teaching Assistant Award for excellent work in CS456, a recognition of the David R. Cheriton School of Computer Science for the outstanding work by TA. July 2011: Maxwell Young successfully defended his PhD thesis titled Resource-Efficient Communication in the Presence of Adversaries. July 2011: Dr. Boutaba is Program Co-chair of the 7th International Wireless Communications and Mobile Computing Conference in Istanbul, Turkey, July 5-8, 2011 June 2011: Dr. Boutaba to give a keynote speech and a tutorial at the 29th Brazilian Symposium on Computer Networks and Distributed Systems in Campo Grande, MS, Brazil, May 30 - June 3, 2011. May 2011: Dr. Boutaba received a Google Research Award to conduct research in the area of Cloud Computing. May 2011: Dr. Boutaba sits on a panel discussing Next Generation Services Overlay Networks at the IFIP/IEEE International Symposium on Integrated Network Management in Dublin, Ireland, May 23 - 27, 2011. April 2011: Dr. Boutaba received the University of Waterloo Outstanding Performance Award. April 2011: Carol (Jun Fung) has been selected as a recipient of the Google Anita Borg Memorial Scholarship! April 2011: Faiz (Md Faizul Bari), Carol (Jun Fung), and Max (Maxwell Young) selected to receive David R. Cheriton Graduate Scholarships starting May 2011! March 2011: Dr. Boutaba received an NSERC Research Tools and Instruments Category 1 grant for building an experimental cluster to support research in resource management in cloud computing. January 2011: Dr. Boutaba teaches a graduate course on Advanced Distributed Systems featuring Cloud Computing and Management. January 2011: Max (Maxwell Young) receives the Research In Motion Graduate Scholarship! diff --git a/src/data/compiled_bios/2803.txt b/src/data/compiled_bios/2803.txt new file mode 100644 index 0000000000..7504b16599 --- /dev/null +++ b/src/data/compiled_bios/2803.txt @@ -0,0 +1 @@ +Yuri Boykov - Home Page Yuri Boykov Professor Cheriton School of Computer Science The University of Waterloo Adjunct Professor Computer Science Department The University of Western Ontario Research Interests: computer vision, biomedical image analysis Activities: ICERM program on Optimization Methods in Computer Vision and Image Processing (2019) Isaac Newton Institute (INI) program on: Variational Methods and Effective Algorithms for Imaging and Vision (2017) MICCAI Tutorial on Medical Image Segmentation: Beyond Level-sets (2014) IPAM Graduate Summer School: Computer Vision, 2013 Helmholtz Prize (Test of Time Award) by TCPAMI, ICCV 2011 EMMCVPR 2011 Database of max-flow problem instances in computer vision (DIMACS format) IPAM 2013 Workshop on Convex Relaxation Methods for Geometric Problems in Scientific Computing IPAM 2008 Workshop on Graph Cuts and Related Discrete or Continuous Optimization Problems Available positions: post-doc, MSc/PhD students Publications Students Courses Talks Code Data Bio diff --git a/src/data/compiled_bios/2804.txt b/src/data/compiled_bios/2804.txt new file mode 100644 index 0000000000..d93483a9aa --- /dev/null +++ b/src/data/compiled_bios/2804.txt @@ -0,0 +1 @@ +Tim Brecht Home Publications Supervision Committtees Teaching Projects Biography Artifacts Directions Funding Opportunities Tips & Misc. Tim Brecht Associate Professor Davis Center, Room 3508 David R. Cheriton School of Computer Science University of Waterloo 200 University Ave. West Waterloo, ON N2L 3G1, Canada E-mail: brecht AT cs DOT uwaterloo DOT ca Phone: (519) 888-4567 x35892 News: Feb 13, 2019: Our WiTAG work was featured in ACM TechNews. (See the headline: Making Homes Smart Could Become Easier.) Feb 8, 2019: Our WiTAG work was featured on WiFi HiFi Nov, 2018: Omid Abari presented our WiTAG work at Hotnets. Oct, 2018: Our paper on WiFi backscatter communication (WiTAGs) has been accepted to HotNets. Sept, 2018: I'm teaching a graduate seminar course on Performance Evaluation. Here is a link to that course. August 15, 2018: We have had a poster accepted to Mobicomm, "Analyzing Bitrates in Modern Wi-Fi Networks" (which includes some data from Google WiFi access points) July 6, 2018: I did a phone interview on 570 News on the Jennifer Campbell show about our work with Netflix. For audio, click on the Friday July 6th, 2018 show then skip ahead to 5:18. July 6, 2018: I did a phone interview on CHML 900 (radio) about our work with Netflix. I don't have a link to that audio. July 4, 2018: The Record has run a story about our work with Netflix. July 2, 2018: we've had a paper accepted to TOMPECS, "Quantifying Cloud Performance and Dependability: Taxonomy, Metric Design, and Emerging Challenges" April 2018: Our work on RaMP has been accepted to HotCloud. March 2018: Our work on Carousel has been accepted to SIGMOD. December 2017: I've received funding from Google to support our WiFi research. Thanks Google! Nov 17, 2017: The significantly extended version of our Libception paper has been accepted to TOMPECS (this was a fast-tracked best paper award nomination from ICPE 2017). Oct 23, 2017: Carey Williamson and I will be general co-chairs of SOSP 2019. Sept 29, 2017: I gave a talk on our WiFi characterization work at the Cheriton Symposium. The recorded video is available here on YouTube. August 21, 2017: Ali Abedi succesfully defended his Ph.D. thesis. Aug 11, 2017: The signficantly extended version of our T-SIMn paper has been accepted for publication in the journal Computer Communications (this was a fast-tracked best paper award nomination from MSiM 2016). Jul 14, 2017: Our paper on Nessie our RDMA-based Key-Value Store has been accepted for publications in IEEE Transactions on Parallel and Distributed Systems. June 20, 2017: I gave a talk on our WiFi work at Qualcomm in San Jose. June 19, 2017: I gave a talk on our WiFi work at Google in Mountain View. Apr 25, I presented our paper Conducting Repeatable Experiments in Highly Variable Cloud Computing Environments at ICPE 2017. Apr 24, 2017: Ben presented our Libception paper at ICPE 2017. Apr 5, 2017: Our Libception paper has been selected as one of four best paper award candidates at ICPE 2017. Mar 31, 2017: David Pariag presented our paper at PAM 2017, in Sydney, Australia Dec 16, 2016: David Pariag and I have had our paper ``Application Bandwidth and Flow Rates from 3 Trillion Flows Across 45 Carrier Networks'' accepted to PAM. Nov 30, 2016: Jim Summers was the runner up for the 2016 SPEC Kaivalya Dixit Distinguished Dissertation Award. Nov 28, 2016: my postdoc Kamal Rahimi Malekshan started work at Siemen's Canada. Nov 23, 2016: I have been awarded a three year Cheriton Faculty Fellowship. Nov 19, 2016: Our Libception and RMIT paper submissions have been accepted to ICPE. Nov 16, 2016: Ali Abedi presented our 802.11n network characterization work at MSWiM in Malta. Nov 14, 2016: Ali Abedi presented our T-SIMn work with Andrew Heard at MSWiM in Malta. Sept 26, 2016: Jim Summers presented our work on characterizing Netflix server workloads at IISWC in Providence. Sept 20, 2016: I've been chosen to co-chair the MASCOTS 2017 program committee with David M. Nichol. It will be held in Banff! Sept 9, 2016: Jim Summers has successfully defended his Ph.D. thesis. Research Interests: Performance Evaluation; High-Performance Internet Systems, Services and Applications (especially Streaming Video Services); Wireless Networking; Systems Support for the Internet of Things; Parallel and Distributed Systems; Operating Systems. Prospective students: I am currently looking for highly motivated graduate students (or undergrads interested in a URA) who enjoy designing, implementing, and improving the performance of systems, networks and applications. More information about the School's graduate program requirements can be found here. If you are interesting in working with me please read this before sending me email. Home Publications Supervision Committtees Teaching Projects Biography Artifacts Directions Funding Opportunities Tips & Misc. Last modified: Thu Feb 14 14:52:13 EST 2019 diff --git a/src/data/compiled_bios/2805.txt b/src/data/compiled_bios/2805.txt new file mode 100644 index 0000000000..c647aa0ead --- /dev/null +++ b/src/data/compiled_bios/2805.txt @@ -0,0 +1 @@ +dan brown Daniel G. Brown Professor David R. Cheriton School of Computer Science University of Waterloo Ph.D. (Computer Science), Cornell, 2000 S.B. (Mathematics with Computer Science), MIT, 1995 (Me, with chickenpox spots, February 2007. Not pleasant.) (Many more cute photos of Rover, who died in January 2018 after a life full of wagging and snuggling) (A formal photo of me from early 2005, which I really liked) (A photo from when I was in grad school. People sometimes are surprised that this photo is here, but I think it's fun to remember where we come from.) I perform research on bioinformatics, music information retrieval, computational creativity, and, with the Gambling Research Lab, on prevention of problem gambling. I am the Director of Undergraduate Studies for Computer Science at Waterloo, and will be in this role until June 2019. From July to December of 2018, I served as Acting Director of Computer Science at Waterloo while Mark Giesbrecht, who currently serves as the School's Director, was on sabbatical. I am the Treasurer of the Faculty Association of the University of Waterloo (FAUW), which is the official representative of Waterloo's faculty members. Answers to most important questions about FAUW are on our website, or can be obtained by contacting our fantastic Executive Manager, Erin Windibank. You may find my CV in .pdf or HTML versions here. My Google Scholar page lists my publications. The summaries below don't link to papers, but they should all be in my Scholar record; if it's confusing, let me know. Research projects Bioinformatics Phylogenetics: QTree and LSHtree are two very fast algorithms for phylogenetic tree reconstruction that I designed with Jakub Truszkowski. QTree uses a complex search structure and a neat random walk approach to add new taxa to a growing tree, with O(n log n) runtime in a quartet framework. LSHtree adds new taxa to a growing tree by using hashing to approximately locate the taxon, and then doing quartet queries to place the taxon. It offers the first sub-quadratic runtime for an algorithm that reconstructs trees in a Markov model of evolution. As part of proving one of the theorems in the first QTree paper, I needed a tail inequality for negative bionomial random variables. I couldn't find any good links for "negative binomial Chernoff", so I spent forever proving something that should've been obvious. Now you don't need to. (And yes, this is sort-of in the Dubhashi/Panconesi book, but not with the emphasis it might have had.) Robustness to outliers: Margareta Ackerman and David Loker and I adapted some of their theoretical work on clustering to look at what kinds of properties various phylogenetic algorithms satisfy. Sequence correction: I have done two separate projects in this domain.Pollux is a sequence-correction method for large sets of second-generation sequence reads, developed by Eric Marinier and Brendan McConkey and me. PANDASeq2 is an alarmingly heavily-cited, very fast algorithm for fixing overlapping reads sequenced from, for example, ribosomal genes. Because the method is so fast, and because Andre Masella's code is very solid, it is easily incorporated without pain into other pipelines for metagenomic analysis. I have also worked on alignment, gene finding, haplotype inference, motif finding, HMM decoding, HIV subtype detection, kinship discovery, and a host of other bioinformatics problems. If it's NP-hard and a sequence or tree problem, there's a good chance I have studied why it's easy to solve in practice, and I might have developed a surprisingly fast algorithm for it. Music and lyrics RhymeAnalyzer: My former MMath student Hussein Hirjee and I developed an algorithm for detecting rhymes in rap music lyrics. They're interesting because they tend to be long, internal, and imperfect. The program is on SourceForge; Hussein has finished his MD (yes, really) at the University of Western Ontario, and is now a resident in psychiatry in Toronto. Rhyme complexity: Abhishek Singhi noticed that the RhymeAnalyzer can be used to predict which songs are successful. Gratifyingly, the more successful songs have more complex rhyme patterns, according to the RhymeAnalyzer. Alignment: With a group in France, I adapted BLAST-style bioinformatics seeding of alignment to the cover song detection problem. With a group in the Netherlands, we are also exploring use of multiple alignment in this same domain. We've also studied some cross-cultural aspects of music lyrics and their understanding, and also whether poetry and lyrics differ. Computational creativity Computational creativity is the study of computer programs that create artifacts that, if created by a human, would be perceived to be creative artifacts. Most of my work in this area has been with my recently-graduated PhD student Carolyn Lamb (co-supervised with Charlie Clarke), who studied how to make computer programs that make poetry, and what it means to make a good computer poet. Among the outcomes of that work are a quite detailed tutorial of different ways to understand creativity and how that impacts on the ways of evaluating it, and several papers on news poets of different sorts that we built. Problem gambling Largely because of my concerns about casino gambling, I've recently affiliated with the Gambling Research Lab at Waterloo. We're doing a lot of work on trying to get good information about how slot machines work into players' hands, currently culminating in a project to (essentially) put calorie labels on slot machines. We have also studied a variety of other gambling methods, like scratch tickets and bingo. Teaching These are the courses I have taught at UW: Introduction to Computer Science 2 (CS 116), a course I developed and co-ordinated, and taught in its initial offering in Winter 2009. Computational techniques in biological sequence analysis (CS 482/682), a course I developed and co-ordinate, which I have taught eight times. Designing Functional Programs (CS 135) Algorithms (CS 341) Theory of computation (CS 360), which I have taught five times. Algorithmic methods in phylogenetics (CS 798) Markov Chains, Mixing Times and Concentration (CS 798) Advanced topics in bioinformatics: large-scale sequence analysis (CS 882) Regrettably, I haven't taught much in the past several years; see the next section for the primary reason why I haven't. Service I have a bad habit of saying "yes", which has resulted in my serving in a number of administrative roles. I am in my final six months of being Director of Undergraduate Studies for CS; I served in this role from July 2013 to December 2014, from July 2016 to June 2018, and now from January 2019 to June 2019. As DUS, I chair the curriculum committee, and am responsible for undergraduate operations. I also direct the undergraduate staff, working closely with their manager, Fenglian Qiu. I am the Treasurer of the Faculty Association, and have been since July 2016. From July to December of 2018, I served as Acting Director of the School, chairing numerous School committees, interacting with external groups and funders, representing CS within the university and Math Faculty, and providing direction to staff and (sometimes) to faculty. From July, 2011 to June, 2013, I was Associate Director of the School, which means that I acted as Director when David Taylor was away, and also meant that I chaired a variety of School committees. From July 2006 to June 2009, I was the School's Director of First-Year Studies. As a role without much portfolio, this mostly meant I served in several School and Faculty committees, with a particular eye on first-year curricula. From February 2013 until June 2014, I was Waterloo's Academic Colleague to the Council of Ontario Universities, which means I've met most of the university presidents in Ontario, more than any other thing. From 2008 to 2014, I served on the University Senate and (in various years) its Finance and Executive Committees. From 2010 to 2014, and for the first half of 2016 and of 2018, I was a member of the Faculty Association's Status of Women and Equity Committee, recently renamed the Equity Committee; I have also been the representative from FAUW or from SWEC to a number of diversity-related committees on campus. Non-work-related things I've decided to put these on their own page. You can find out more about me as a person here. And finally, I am not the bestselling author Dan Brown, nor are we related. I don't like his writing. We have corresponded in the past, but that was long ago. Please don't send me fan mail or threats. David R. Cheriton School of Computer Science University of Waterloo 200 University Ave., W. Waterloo, ON N2L 3G1, Canada voice: 519-888-4567 x36278 email: dan.brown@uwaterloo.ca last updated 2 july 2016 diff --git a/src/data/compiled_bios/2806.txt b/src/data/compiled_bios/2806.txt new file mode 100644 index 0000000000..bb579c4331 --- /dev/null +++ b/src/data/compiled_bios/2806.txt @@ -0,0 +1 @@ +Trevor Brown's home page Welcome to Trevor Brown's home page I am currently an assistant professor in the Computer Science department at the University of Waterloo. Before that, I was a postdoctoral researcher at the Institute of Science and Technology, Austria. Before that, I was a postdoctoral researcher at the Technion, Israel Institute of Technology. Before that, I was a PhD student at the University of Toronto. Although I was in the theory group at U of T, I would say that my work is closer to systems work than theory. I care greatly about rigor, whether in theoretical or experimental work. My research currently revolves around concurrent data structures, especially lock-free ones. I am also interested in transactional memory, non-volatile memory, and techniques for coping with non-uniform memory architectures. Supervisor at IST Austria: Dan Alistarh Supervisor at the Technion: Hagit Attiya Supervisor at U of T: Faith Ellen Contact: me [at] tbrown [dot] pro Curriculum Vitae: [PDF] Current Teaching 798 Multicore programming Publications and Slides My CV contains links to all of my publications, sets of slides, and some videos of my talks. Software Artifacts Over the years, I have made quite a bit of code publicly available. Most of it can be found in my implementations or setbench bitbucket repositories. Specific implementations are highlighted below. [C++] Synchronization primitives: Fast LLX and SCX (algorithm from this paper with optimization from this paper) Fast multiword CAS (algorithm from this paper with optimization from this paper) [C++] Memory reclamation Easy memory reclamation for concurrent data structures [C++] My trees: Lock-free relaxed (a,b)-tree - fastest search tree I am aware of (when paired with a fast allocator) (see Chapter 8 of my thesis ; benchmarked much faster than the 10 trees in this paper ; see minimal_example.cpp for usage) Lock-free relaxed (a,b)-tree with atomic range queries (see this paper; see minimal_example.cpp for usage) Lock-free relaxed B-slack tree with atomic range queries (see minimal_example.cpp for usage) (see Chapters 9 and 10 of my thesis; extremely fast searches with few updates; space efficient; see minimal_example.cpp for usage) Lock-free BST with atomic range queries (see this paper; see minimal_example.cpp for usage) Lock-free chromatic tree (see chromatic*.h; based on this paper; note: could be greatly accelerated with this optimization) [C++] Modified versions of other trees: (adding memory reclamation and a uniform interface, and fixing numerous correctness/performance issues - see these slides) Lock-free external BST of Ellen et al. (see minimal_example.cpp for usage) Lock-free external BST of Natarajan et al. (fixed memory reclamation bugs in authors' implementation - see comment here; see minimal_example.cpp for usage) Lock-free internal BST of Howley et al. (see minimal_example.cpp for usage) Lock-free internal BST of Ramachandran et al. (see minimal_example.cpp for usage) Optimistic external BST of David et al. (see minimal_example.cpp for usage) Optimistic partially external BST of Bronson et al. (see minimal_example.cpp for usage) Lock-based partially external BST of Drachsler et al. (see minimal_example.cpp for usage) [C++] Modified data structures with atomic range queries: Optimistic lock-based linked list (Lazy list) Lock-free linked list RLU-based linked list Lock-based skip list RCU and lock-based internal BST (CITRUS) RLU-based internal BST (RLU CITRUS) [C++] Data structures for Intel Hardware Transactional Memory (HTM / TSX-NI): HTM lock-free external BST HTM lock-free relaxed (a,b)-tree (underlying lock-free (a,b)-tree is inferior to the one above; could be greatly improved by adding HTM to the above version) HTM RCU and lock-based internal BST (CITRUS) [Java] My data structures: Lock-free external BST of Ellen et al. Lock-free k-ary search tree (with atomic range queries) (see this paper) Lock-free quaternary search tree (see this paper) Lock-free chromatic tree (see this paper) Lock-free relaxed AVL tree (see this paper) Lock-free relaxed B-slack tree (see Chapters 9 and 10 of my thesis; extremely fast searches with few updates; space efficient) Performing data structure experiments Recently, I've been thinking a lot about the question of how one should perform rigorous data structure experiments. In October 2017, I gave an invited talk on this subject at the 1st Workshop on the Theory and Practice of Concurrency (colocated with DISC). If you are interested in this sort of thing, I've uploaded a video on Youtube. In June 2018, I gave a talk at TU Wien on concurrent binary search trees, and how implementation mistakes and memory layout issues can drastically affect their performance. Slides can be found here. Tutorial Videos I have also started producing video tutorials that distill lessons I've learned while coding up concurrent data structures and experiments. I'll post them here, as I record them. NUMA memory placement matters (13:36) Rapidly produce charts from many dimensional data! (12:39) [Excel chart factory tool] Using Valgrind to find elusive bugs quickly (16:00) Past Teaching TA for CSC263 Winter 2014: data structures [under Sam Toueg] [Tutorial notes/slides] TA for CSC2221 Fall 2013: introduction to distributed computing [graduate course; under Sam Toueg] TA for CSC263 Winter 2013: data structures [under Sam Toueg] [Tutorial notes/slides] TA for CSC369 Fall 2012: operating systems [under Angela Demke-Brown] [Tutorial notes/slides] TA for CSC263 Winter 2012: data structures [under Sam Toueg] TA for CSC263 (and 265) Fall 2011: (enhanced) data structures [under Faith Ellen, Toni Pitassi] Personal Websites Note: As of September 2017, I've been having problems with my webhost, and my sites are all down. Unfortunately, I have not yet had time to resolve the issue with them. Japanese vocabulary flash cards (developed to accompany the first and second year Japanese language courses at York University) Kanji (Sino-Japanese character) flash cards (developed to accompany the second year Japanese language course JP2000 at York University) a large repository of solutions to problems from the ACM international collegiate programming contests (I participated four times, and my team, GNU Yorkers, placed 6th and 12th out of ~110 teams in 2009 and 2010, respectively.) solutions to many problems in the 4th edition Operations Research textbook by Wayne L. Winston Miscellanea I've chronicled some of my struggles with repetitive strain injuries in my wrists here. I also have some stuff (Python code) pertaining to the CSC2501 course at the U of T here. diff --git a/src/data/compiled_bios/2807.txt b/src/data/compiled_bios/2807.txt new file mode 100644 index 0000000000..0448852654 --- /dev/null +++ b/src/data/compiled_bios/2807.txt @@ -0,0 +1 @@ +Peter A. Buhr, Home Page Peter Allan Buhr My primary research area is programming languages, in which I study concurrency, visualization and debugging, polymorphism, and persistence. Concurrency New computers support multiple simultaneous threads of execution in the form of multi-threading, multi-core, and multi-processors; programming multiple threads is more complex than a single thread, and is called concurrent programming. My initial work in concurrency began by providing concurrency for the C language, called the System. While much was learned about designing and constructing thread libraries during this project, the work was abandoned because it is impossible to construct statically type-safe direct communication among threads in C. Subsequently, the work shifted to C++ because of its object-oriented features allowing concurrent communication to be statically type-safe. However, it is still impossible to add concurrency without extending C++; as a result, a new concurrent dialect of C++ was created, called C++. Concurrent Monitoring, Visualization and Debugging Getting a concurrent program to work correctly, efficiently and with maximal parallelism can be very difficult. I develop techniques and tools to help understand the dynamic behaviour of a concurrent program with the goal of increasing program performance. This work has produced a toolkit for monitoring, visualizing, and debugging C++ programs, called MVD. Polymorphism The ability to write generic reusable programs, called polymorphism, is fundamental to advanced software engineering. I am interested in static type-systems providing polymorphism without the use of subtyping. The problem with subtyping is that it imposes significant restrictions on reuse when static type-checking is required. This work has resulted in a new dialect of C language, called Cforall, which adds parametric polymorphism and extensive overloading to provide a more general type-system. Persistence Data structures containing pointers (versus values) cannot be stored directly to/from disk, because pointers represent absolute locations in memory. I am also interested in memory-mapped single-level stores, which allow data, including pointers, to be transparently transferred to and retrieved from disk storage implicitly via virtual memory. To handle the address consistency problem, i.e., pointers to addresses that have changed location, exact positioning of data is used so no relocation or adjusting of pointers is necessary. This work has produced a toolkit, called Database, for building persistent data structures using the exact-positioning approach to memory-mapped single-level stores. Papers Technical Writing School of Computer Science University of Waterloo 200 University Ave. West Waterloo, Ontario CANADA, N2L 3G1 Tel: +01 519 888 4567 x34453 Fax: +01 519 885 1208 Davis Centre (DC) 2504 Email: pabuhr@uwaterloo.ca Back to PLG Home Page diff --git a/src/data/compiled_bios/2808.txt b/src/data/compiled_bios/2808.txt new file mode 100644 index 0000000000..67d3e3c7fd --- /dev/null +++ b/src/data/compiled_bios/2808.txt @@ -0,0 +1 @@ +Jonathan Buss Jonathan Buss Good morning! from the Cheriton School of Computer Science in the Faculty of Mathematics of the University of Waterloo. I work in the Algorithms and Complexity Group. Phone: 1-519-888-4567 x34428 Office: DC 3353 email: jfbuss cs.uwaterloo.ca Lecturing In Fall 2018, I will teach CS245, Logic and Computation. I have taught the following courses at various times. CS240: Data Structures and Data Management CS245: Logic and Computation CS251: Computer Organization and Design (formerly Digital Design and Architecture) CS341: Algorithms CS360: Introduction to Theory of Computation CS 365: Models of Computation CS462/662: Formal Languages and Parsing CS464/664: Computational Complexity Theory (no longer offered; see CS764) CS466/666: Algorithm Design and Analysis CS764: Computational Complexity CS860: Advanced Topics in Algorithms and Complexity Research My research work concerns computational complexity and models of feasible computation. In particular, I study subsets of polynomial-time problems, which better capture the feasibility of computations. Lately I have extended the scope to include the W-hierarchy of (possibly) fixed-parameter intractable problems. Some selected papers J.F. Buss, T.M. Islam, The complexity of fixed-parameter problems: guest column, SIGACT News 39(2008) 3346. J.F. Buss, T. Islam, Algorithms in the W-Hierarchy, Theory of Computer Systems 41 (2007) 445457. J.F. Buss and T. Islam, Simplifying the Weft Hierarchy, Theoretical Computer Science 351 (2006) 303313. (Original version in International Workshop on Parameterized and Exact Computation (IWPEC 2004), Springer, 2004.) T. Biedl, et al., Palindrome Recognition Using a Multidimensional Tape, Theoretical Computer Science, 2003. N. Immerman, J.F. Buss, and D.A. Mix Barrington, Number of Variables Is Equivalent To Space, J. Symbolic Logic 66 (2001) 12171230. J.F. Buss, G.S. Frandsen, and J.O. Shallit, The Computational Complexity of Some Problems in Linear Algebra, J. Computer and System Sciences 58 (1999) 572596. J.F. Buss and R.B. Simpson, Planar Mesh Refinement Cannot Be Both Local and Regular, Numerische Mathematik 79,1 (1998) 110. S.A. Bloch, J.F. Buss and J. Goldsmith, Sharply-Bounded Alternation and Quasilinear Time, Theory of Computing Systems 31 (1998) 187-214. P. Bose, J.F. Buss and A. Lubiw, Pattern Matching for Permutations, Information Processing Letters 65,5 (1998) 277-283. A Sublinear-Space, Polynomial-Time Algorithm for Directed s-t Connectivity, 1992, with co-authors Greg Barnes, Larry Ruzzo, and Baruch Schieber. Sharply Bounded Alternation within P, 1995, with co-authors Stephen Bloch and Judy Goldsmith. Archived by the Electronic Colloquium on Computational Complexity. Parallel Algorithms with Processor Failures and Delays, 1991, with co-authors Paris Kanellakis, Prabhakar Ragde, and Alex Shvartsman. Lower Bounds on Universal Traversal Sequences Based on Chains of Length Five, 1993, with co-author Martin Tompa. Processor Networks and Alternation Machines, Symposium on Parallel Algorithms and Architectures (SPAA), 1990. diff --git a/src/data/compiled_bios/2809.txt b/src/data/compiled_bios/2809.txt new file mode 100644 index 0000000000..64cc6ea81b --- /dev/null +++ b/src/data/compiled_bios/2809.txt @@ -0,0 +1 @@ +Charlie Clarke's Home Page Charlie Clarke School of Computer Science University of Waterloo 200 University Avenue West Waterloo, Ontario Canada N2L 3G1 Telephone: (519) 888-4567 x35241 Office: DC2506 Email: claclark at plg.uwaterloo.ca Greetings! I'm a professor with the School of Computer Science. My research interests include information retrieval, search, data mining, and software tools. A list of my publications is included in my CV. You can also see my publication lists on Google Scholar and DBLP. Some chapters from our book are available online, including chapters on indexing and compession: Last Modified: January 1, 2017 diff --git a/src/data/compiled_bios/281.txt b/src/data/compiled_bios/281.txt new file mode 100644 index 0000000000..cccd165af0 --- /dev/null +++ b/src/data/compiled_bios/281.txt @@ -0,0 +1 @@ +I'm an Associate Professor in the Department of Computer Science at Georgetown University. I am leading the InfoSense group at Georgetown University. Check out more details from our group website. My research interests include Information Retrieval, Deep Reinforcement Learning, Machine Learning, Ontology, Question Answering and Privacy. I am looking for highly-motivated PhD students with strong mathematic background, excellent programming skills, and good writing skills. If you are serious about Information Retrieval research and/or aim to invent the next big thing on the Web, please contact me . diff --git a/src/data/compiled_bios/2810.txt b/src/data/compiled_bios/2810.txt new file mode 100644 index 0000000000..26553564d7 --- /dev/null +++ b/src/data/compiled_bios/2810.txt @@ -0,0 +1 @@ +Richard Cleve Richard E Cleve Please note that my web page has moved to: http://cleve.iqc.uwaterloo.ca diff --git a/src/data/compiled_bios/2811.txt b/src/data/compiled_bios/2811.txt new file mode 100644 index 0000000000..60f8c0a463 --- /dev/null +++ b/src/data/compiled_bios/2811.txt @@ -0,0 +1 @@ +Robin Cohen Robin Cohen Professor Artificial Intelligence Group David R. Cheriton School of Computer Science University of Waterloo 200 University Avenue West Waterloo, Ontario, Canada N2L 3G1 2018-2019 Teaching CS492 (note about enrolment); course website CS697 (outline); Mental Health slides; Library slides; Research Ethics slides; Time Management slides CS886 (outline); course website 2017-2018 Teaching CS492 (note about enrolment); course website CS697 (outline); Research Ethics slides; Academic Integrity slides CS886 (outline); course website; how to enrol 2016-2017 Teaching CS898 (outline); course website CS492 CS330 (outline); course website CS697 (outline); Integrity slides 2015-2016 Teaching CS492 CS785 CS886 (outline); course website 2013-2014 Teaching CS697 CS898 (outline); course website CS492 2012-2013 Teaching CS785 CS697 2011-2012 Teaching CS697 2010-2011 Teaching CS886 CS697 Areas of Research artificial intelligence: multiagent systems (models of trust and reputation, applications to social networks, adjustable autonomy) user modeling, discourse, intelligent interaction, mixed-initiative systems social implications of computers Current Research Interests (as of July 2017) Degrees Ph.D. Computer Science, University of Toronto, 1983 M.Sc. Computer Science, University of Toronto, 1977 B.A. Honours Mathematics, McGill University, 1975 Dip. Coll. Studies Arts McGill University, 1972 Employment History 2011 - 2014 Associate Dean Research, Faculty of Mathematics, University of Waterloo 2009 - 2012 Director, BBA/BCS Program at the University of Waterloo 2002 - 2005 Associate Dean, Graduate Studies and Research, Faculty of Mathematics, University of Waterloo 2001 - 2002 Graduate Recruiting Officer, School of Computer Science, University of Waterloo 1998 - Present Professor, Computer Science, University of Waterloo 1990 - 1998Associate Professor, Computer Science, University of Waterloo 1986 - 1990Assistant Professor, Computer Science, University of Waterloo 1984 - 1986Research Assistant Professor, Computer Science, University of Waterloo Honours 2018 Lifetime Achievement Award, Canadian Artificial Intelligence Association (CAIAC) 2014 - onwards AAAI Senior Member 2010 - 2013Cheriton Fellowship, David R. Cheriton School of Computer Science, University of Waterloo 2009Award for Excellence in Graduate Supervision, University of Waterloo 2008Faculty of Mathematics Award for Distinction in Teaching, University of Waterloo 2002 - 2005Faculty Fellowship, Faculty of Mathematics, University of Waterloo Graduate Supervisions Completed: 19 Masters, 17 PhD, plus 1 Postdoctoral (1 PhD who did not complete) In Progress: 1 PhD, 1 Masters Current Graduate Students Mohammed Alliheedi, PhD (malliheedi AT uwaterloo.ca) Alex Parmentier, MMath (aparment AT uwaterloo.ca) Former Graduate Students Michael Cormier (Ph.D, 2018) Computer Vision on Web Pages: A Study of Man-Made Images (Winner of 2018 Murray Martin Prize (Award for Best Research Paper by a Graduate Student in Faculty of Mathematics at UW)) Hadi Hosseini (Ph.D, 2016) Incentives in One-Sided Matching Problems with Ordinal Preferences (co-supervised by K.Larson) John Doucette (Ph.D, 2016) Social Choice for Partial Preferences using Imputation (Winner of Outstanding Achievement in Graduate Studies Award (Top PhD Student in Faculty of Mathematics at UW)) (Winner of Canadian Artificial Intelligence Association Doctoral Dissertation Award) Graham Pinhey (M.Math, 2014) Distributed Multiagent Resource Allocation Using Reservations to Improve Handling of Dynamic Task Arrivals Noel Sardana (M.Math, 2014) Recommending Messages to Users in Participatory Media Environments: a Bayesian Credibility Approach Dean Shaft (M.Math, 2014) A Framework for Resource Allocation in Time Critical Dynamic Environments Based on Social Welfare and Local Search and its Application to Healthcare Reid Kerr (PhD, 2013) Addressing the Issues of Coalitions and Collusion in Multiagent Systems John Doucette (MMath, 2012) An Ex-Ante Rational Distributed Resource Allocation System using Transfer of Control Strategies for Preemption with Applications to Emergency Medicine. (Winner of Alumni Gold Medal (Top Masters Student at UW)) John Champaign (PhD, 2012) Peer-Based Intelligent Tutoring Systems: A Corpus-Oriented Approach John Finnson (MMath, 2012) Modeling Trust in Multiagent Mobile Vehicular Ad-Hoc Networks Through Enhanced Knowledge Exchange for Effective Travel Decision Making Joshua Gorner (MMath, 2011) Advisor Networks and Referrals for Improved Trust Modelling in Multi-Agent Systems Hyunggu Jung(MMath, 2010) Reasoning About Benefits and Costs of Interaction with Users in Real-Time Decision Making Environments with Application to Healthcare Scenarios Georgia Kastidou (PhD, 2010) Trust-Based Incentive Mechanisms for Community-Based Multiagent Systems (co-supervised by K. Larson) Jie Zhang (PhD, 2009) Promoting Honesty in E-Marketplaces: Combining Trust Modeling and Incentive Mechanism Design (Winner of Alumni Gold Medal (Top PhD student at UW)) Aaditeshwar Seth (PhD, 2008) Design of a Recommender System for Participatory Media Built on a Tetherless Communication Infrastructure (co-supervised by S. Keshav) Dana Wilkinson (PhD, 2007) Subjective Mapping (co-supervised by Dale Schuurmans and Mike Bowling) Reid Kerr (MMath, 2007) Toward Secure Trust and Reputation Systems for Electronic Marketplaces (Winner of Alumni Gold Medal (Top Masters Student at UW)) Jiye Li (PhD, 2007) Rough Set Based Rule Evaluations and Their Applications (co-supervised by Nick Cercone) Kevin Regan (MMath, 2006) A Social Reputation Model for Electronic Marketplaces Sensitive to Subjectivity, Deception and Change (Winner of Outstanding Achievement in Graduate Studies Award (Top Masters Student in Faculty of Mathematics at UW)) Michael Cheng (MMath, 2005) A Hybrid Transfer of Control Approach to Designing Adjustable Autonomy Multiagent Systems (Winner of Alumni Gold Medal (Top Masters Student at UW)) Chris Micacchi (MMath, 2004) An Architecture for Multi-Agent Systems Operating in Soft Real-Time Environments with Unexpected Events (Winner of Outstanding Achievement in Graduate Studies Award (Top Masters Student in Faculty of Mathematics at UW)) Michael Fleming (PhD, 2003) Reasoning about Interaction in Mixed-Initiative Artificial Intelligence Systems Thomas Tran (PhD, 2003) Reputation-Oriented Reinforcement Learning Strategies for Economically-Motivated Agens in Electronic Market Environments (Winner of Governor General Gold Medal (Top PhD Student at UW)) David Chen (MMath, 2002; Part-Time) AERO: An Outsourced Approach to Execption Handling in Multiagent Systems Curtis Cartmill (MMath, 1999) A Middle-Agent Architecture for Information Extraction Toby Donaldson(PhD, 1998)A Computational Model of Turn-Taking in Discourse Michael Fleming(MMath, 1998) Designing More Interactive Interface Agents Marzena Makuta(PhD, 1997)A Computational Model of Lexical Cohesion Analysis and its Application to the Evaluation of Text Coherence Toby Donaldson(MMath, 1994) Constraining Focus of Attention Through Domain and User Modeling in Natural Language Report Generation(co-supervised by Chrysanne Di Marco) Jennifer Chu(MMath, 1991)Introducing a Multi-Dimensional User Model to Tailor Natural Language Generation Fei Song(PhD, 1991) A Processing Model for Temporal Analysis and its Application to Plan Recognition Bruce Spencer(PhD, 1990) Assimilation in Plan Recognition via Truth Maintenance with Reduced Redundancy Peter van Beek(PhD, 1990) Exact and Approximate Reasoning about Qualitative Temporal Relations David Hsu (MMath, 1989) A Processing Model for Re-Direction Clues in Discourse Mark Young (MMath, 1987) The Design and Implementation of an Evidence Oracle for the Understanding of Arguments Peter van Beek (MMath, 1986) A Computational Model for User-Specific Explanations From Expert Systems Undergraduate Research Assistants I have worked with a number of undergraduate assistants since 2013, as follows: (2013) Ofotsu Maccarthy, Michael Li, Elizabeth Woo, Disney Lam, Kamal Rahim, Eric Langlois; (2014) Kamal Rahim, Disney Lam; (2015) Geoffry Song, Michael Parrott; (2016) Michael Parrott, Lin Ai, William Fu; (2017) Yidong Liu, Daniel Ohashi, Nivedha Mathiarasu, Anthony Chan, Peng Fei Wang, Mengfei Liu, Joseph Winters, Sihao Liu, Daniel Zheng; (2018) Nivedha Mathiarasu, Haozhe Xu, Marco Lillek, Kevin Zhou, Toby Wang, Stefanie Low. Publications All of the co-authors listed were graduate students under my supervision or graduate students in one of my courses, with the following exceptions. Jones, L. Cohen, Gotlieb, Poupart, Larson, Godfrey and Boutaba were colleagues. Ardissono was a visiting PhD student. Schmidt was a student of van Beek's. van Beek was a colleague from 1992 onwards. Almost all of my papers reside with my co-authors. If you are interested in a paper, please correspond with one of them. Links to their websites are below (for those who have sites): Liliana Ardissono Allan Caine Jennifer Chu-Carroll Toby Donaldson Michael Fleming Kelly Gotlieb Pascal Poupart Kevin Regan Fei Song Bruce Spencer Thomas Tran Peter van Beek Jie Zhang Reid Kerr Aaditeshwar Seth Olga Baysal Umar Minhas Georgia Kastidou Joshua Gorner Hyunggu Jung John Champaign John Doucette Hadi Hosseini Graham Pinhey Michael Cormier Dean Shaft Publication List I - Chapters in Books G. Kastidou and R. Cohen; Trust-Oriented Utility-Based Community Structure in Multiagent Systems; book chapter in Economic Models and Algorithms for Distributed Systems; D. Neumann, M. Baker, J. Altmann and O. Rama, eds; Nielsen Books; accepted 2009, to appear 2010; Spring Publishers; p.45-62 . J. Zhang, R. Cohen and K. Larson; A Trust-Based Incentive Mechanism for E-Marketplaces; Lecture Notes in Artificial Intelligence Special Issue on Trust in Agent Societies; R. Falcone, S. Barber, J. Sabater, M. Singh, eds.; Springer Publishers; p.135-161; February 2009. M. Fleming and R. Cohen; Mixed-Initiative Translation of Web Pages; book chapter in LNCS 1934 Envisioning Machine Translation in the Information Future; pgs 1-20; 2008. Kastidou, G. and Cohen, R.; An approach for delivering personalized advertisements in interactive TV customized to both users and advertisers; book chapter for Interactive Digital Television: Technologies and Applications; IDEA Group; April 2007 (20 pages). Song, F. and Cohen, R.; Tense interpretation in the context of narrative; Chapter 19 in The Language of Time: A Reader, I. Mani, J. Pustejovsky and R. Gaizauskas eds.; Oxford University Press, 2005 (12 pages) Cohen, R. and Fleming, M.; Adjusting the autonomy in mixed-initiative systems by reasoning about interaction; Chapter 7 in Agent Autonomy, H. Hexmoor, R. Falcone and C. Castlefranchi, eds.; Kluwer Academic Publishers; November 2002, p.105-120 Cohen, R., Allaby, C., Cumbaa, C., Fitzgerald, M., Ho, K., Hui, B., Latulipe, C., Lu, F., Moussa, N., Pooley, D., Qian, A. and S. Siddiqi; What is Initiative?; in Computational Models of Mixed-Initiative Interaction, S. Haller, S. McRoy and A. Kobsa, eds.; Kluwer Academic Publishers, 1999 Cohen, R.; Logic programming and the analysis of discourse; in Logic and Logic Grammars for Language Processing, P. Saint-Dizier and S. Szpakowicz eds., Ellis-Horwood series in Artificial Intelligence (1990) pp. 205-222 Cohen, R. and Jones, M.; Incorporating User Models into Expert Systems for Educational Diagnosis; in User Models in Dialog Systems, A. Kobsa and W. Wahlster, eds., Springer Verlag; September 1989, pp. 313-33 Cohen, R.; Studying Arguments to Gain Insight into Discourse Structure; in The Structure of Multimodal Dialogues, M.M. Taylor, F. Neel and D.G. Bouwhuis, eds., North-Holland. (July 1989); pp. 75-84 II - Refereed Journal Publications N. Sardana, R. Cohen, J. Zhang and S. Chen; A Bayesian multiagent trust model for social networks; IEEE Transactions on Computational Social Systems; 2018; 14 pages. G. Pinhey, J. Doucette and R. Cohen; Using reservations for multiagent resource allocation with costly preemption; Multiagent and Grid Systems Journal, Volume 14, No 3; October 2018; p.219-242. H. Hosseini, K. Larson and R. Cohen; Investigating the characteristics of one-sided matching mechanisms under various preferences and risk attitudes; Autonomous Agents and Multiagent Systems Journal; Vol 32 Iss 4; 2018; 34 pages. R. Cohen, N. Mathiarasu, R. Aarif, S. Ansari, D. Fraser, M. Hegde, J. Henderson, I. Kajic, A. Khan, Z. Liao, A. Mancisidor, S. Nagpal, A. Pham, A. Saini, J. Shen, H. Singh, C. Tavares and S. Thandra; An education-based approach to aid in the prevention of cyberbullying; ACM SIGCAS Newsletter (Computers and Society); November 2017; 12 pages. R. Cohen, J. Finnson, T. Tran and J. Zhang; An ontological representation for trust-based decision making in transportation environments; Multiagent and Grid Systems; Volume 12, Number 4; January 2017; p.319-342. J. Doucette and R. Cohen; A testbed to enable comparisons between competing approaches for computational social choice; Big Data and Information Analytics special issue in memory of Nick Cercone; Volume 1, Number 4; October 2016; p.309-340. R. Cohen, A. Tsang, K. Vaidyanathan and H. Zhang; Analyzing opinion dynamics in online social networks; Big Data and Information Analytics special issue in memory of Nick Cercone; Volume 1, Number 4; October 2016; p.279-298. M. Cormier, K. Moffatt, R. Cohen and R. Mann; Purely vision-based segmentation of webpages for assistive technology; Computer Vision and Image Understanding special issue on assistive computer vision and robotics; Volume 148, July 2016, pp.46-66. J. Doucette, G. Pinhey and R. Cohen; Multiagent resource allocation for dynamic task arrivals with preemption; ACM Transactions on Intelligent Systems journal (TIST); Volume 8, Issue 1; October 2016; 22 pages. J. Champaign, R. Cohen and D.Y. Lam; Empowering patients and caregivers to manage healthcare via streamlined presentation of web objects; ACM Transactions on Intelligent Systems (TIST) special issue on Intelligent Healthcare Informatics; Vol. 6 No. 4; 46 pages; August 2015. R. Cohen, J. Zhang, J. Finnson, T. Tran and U. Minhas; A trust-based framework for vehicular travel with non-binary reports and its validation via an extensive simulation testbed; Journal of Trust Management; Vol. 1: 10; 34 pages; 2014. R. Cohen, D. Lam, N. Agarwal, M. Cormier, J. Jagdev, T. Jin, M. Kukreti, J. Liu, K. Rahim, R. Rawat, W. Sun, D. Wang, M. Wexler; Using computer technology to address the problem of cyberbullying; ACM SIGCAS Newsletter (Computers and Society), Vol. 44 No. 2; p.52-61; 2014. J. Champaign, R. Cohen, N. Sardana and J. Doucette; A framework to restrict viewing of peer commentary on web objects based on trust modeling; Social Network Analysis and Mining; Volume 4, Issue 1; December 2014; 25 pages. J. Champaign and R. Cohen; Ecological Content Sequencing: From Simulated Students to an Effective User Study; International Journal of Learning Technology; Vol 8, No 4; p.337-361; 2013. A. Seth, J. Zhang and R. Cohen; A personalized credibility model for recommending messages in social participatory media environments; World Wide Web Journal; July 2013; 27 pages. A. Khan, J. Doucette and R. Cohen; Validation of an Ontological Medical Decision Support System for Patient Treatment Using a Repository of Patient Data: Insights into the Value of Machine Learning; ACM Transactions on Intelligent Systems and Technology (TIST); Vol.4, No. 4 2013; 30 pages. J. Gorner, J. Zhang and R. Cohen; Improving Trust Modeling Through the Limit of Advisor Network Size and Use of Referrals; Electronic Commerce Research and Applications; Volume 12 Issue 2, April 2013, pages 112-123. H. Wang, J. Zhang, C. Wan, S. Shao and R. Cohen; Qualitative Preference-Based Service Selection for Multiple Agents; Web Intelligence and Agent Systems; Volume 11 Number 3; 2013; p.263-282. J. Zhang and R. Cohen; A Framework for Trust Modeling in Electronic Marketplaces with Buying Advisors to Consider Varying Seller Behavior and the Limiting of Seller Bids; ACM Transactions on Intelligent Systems and Technology (TIST) special issue on Trust in Multiagent Systems; Vol 4 No 2, Article 24; 24 pages; 2013 . R. Cohen, H. Jung, M. Fleming and M. Cheng; A User Modeling Approach to Reasoning About Interaction Sensitive to Bother and Its Application to Hospital Decision Scenarios; User Modeling and User Adapative Interaction Journal special issue on Personalization in e-Health; Volume 21, Numbers 4-5; October 2011; p.441-484. J. Zhang, R. Cohen and K. Larson; Combining Trust Modeling and Mechanism Design for Promoting Honesty in E-Marketplaces; Computational Intelligence, Volume 28, Issue 4, p.549-578, 2012 J. Zhang, C. Chen and R. Cohen; Trust Modeling for Message Relay Control and Local Action Decision Making in VANETs; Security and Communication Networks journal; Volume 6, Issue 1, p.1-14; 2013 . J. Zhang, C. Chen and R. Cohen; A Scalable and Effective Trust-Based Framework for Vehicular Ad-Hoc Networks; Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications; Vol.5, No. 1; p.3-15; 2010. U. Minhas, J. Zhang, T. Tran and R. Cohen; A Multi-Faceted Approach to Modeling Agent Trust for Effective Communication in the Application of Mobile Ad-Hoc Vehicular Networks; IEEE Transactions on Systems, Man and Cybernetics, Part C - Applications and Reviews (SMCC), Volume 41, Issue 3; p.407-420; 2010. R. Kerr and R. Cohen; TREET: The Trust and Reputation Experimentation and Evaluation Testbed; Electronic Commerce Research Journal; Springer; Volume 10, Issue 3-4; pages 271-290; 2010 . U. Minhas, J. Zhang, T. Tran and R. Cohen Expanded Trust Management for Agents in Vehicular Ad-Hoc Networks; International Journal of Computational Intelligence Theory and Practice (IJCITP); Volume 5, Issue 1; 2010. R. Kerr and R. Cohen; Trust as a Tradable Commodity: A Foundation for Safe Electronic Marketplaces; Computational Intelligence Journal; Volume 25, Issue 2 pages 160-182; May 2010; Wiley-Blackwell . M. Sensoy, J. Zhang, P. Yolum and R. Cohen; POYRAZ: Context-Aware Service Selection Under Deception; Computational Intelligence Volume 25 Issue 4; November 2009; Wiley-Interscience; p.335-366. C. Micacchi and R. Cohen; A Framework for Simulating Real-Time Multiagent Systems; Knowledge and Information Sciences journal; Volume 17, Number 2; p.135-166; 2008. J. Zhang and R. Cohen; Evaluating the Trustworthiness of Advice about Selling Agents in E-Marketplaces: A Personalized Approach; Journal of Electronic Commerce and Research Applications; Volume 7, Issue 3; pp.330-340; 2008. Zhang, J., Ghorbani, A.and Cohen R.; A Familiarity-based Trust Model for Effective Selection of Sellers in Multiagent E-commerce Systems, International Journal of Information Security, Vol. 6, No. 5, p.333-344, 2007. Zhang, J., Kerr, R. and Cohen, R.; Promoting Security in Electronic Marketplaces through the Modeling of Trust; Journal of Business and Technology; Issue 2, 2007 (16 pages) Zhang, J. and Cohen R; A Comprehensive Approach for Sharing Semantic Web Trust Ratings, Computational Intelligence, Vol. 23, No. 3, p.302-319, 2007. Caine, A. and Cohen, R.; Tutoring an Entire Game Using Dynamic Strategy Graphs: The Mixed-Initiative Sudoku Tutor; Journal of Computers; Vol. 2, No. 1, p.20-32, February 2007. Micacchi, C. and Cohen, R.; A Multi-Agent Architecture for Robotic Systems in Real-Time Environments; International Journal of Robotics and Automation; Vol 21, 2006 (9 pages). Tran, T. and Cohen, R.; The Stability of Electronic Marketplaces Where Buying Agents Use Reliability Modeling to Select Selling Agents; Journal of Business and Technology; September 2005 (15 pages). Regan, K, Cohen, R. and Tran, T.; Designing Adaptive Buying Agents in Electronic Markets Using Advice from Other Buyers to Model Seller Reputation; Journal of Business and Technology; September 2005 (15 pages). Tran, T. and Cohen, R.; Equilibrium in e-markets populated with reputation-oriented learning agents; New Generation Computing Journal, Vol. 23, No. 1; November 2004 (10 pages). Tran, T. and Cohen, R.; The advantages of designing adaptive business agents using reputation modelling compared to the approach of recursive modelling; Computational Intelligence special issue on Business Agents and the Semantic Web, Vol. 20, No. 4; November 2004 (15 pages). Tran, T. and Cohen, R.; A reputation-oriented reinforcement learning strategy for agents in electronic marketplaces; Computational Intelligence, Vol. 18, No. 4, p.550-565; November 2002. Cohen, R., Allaby, C., Cumbaa, C., Fitzgerald, M., Ho, K., Hui, B., Latulipe, C., Lu, F., Moussa, N., Qian, A., Pooley, D. and Saddiqi, S.; What is Initiative; UMUAI Special Issue on Mixed-Initiative Interaction; Vol. 8, No. 3-4; pp.171-214; December 1998. Song, F. and Cohen, R.; A strengthened algorithm for temporal reasoning about plans; Computational Intelligence, Volume 12, Number 2, pp.331-356, 1996. van Beek, P., Cohen, R. and K. Schmidt; From plan critiquing to clarification dialogue for cooperative response generation; Computational Intelligence, Volume 9, Number 3, pp.132-154, 1993. Cohen, R., Song, F., Spencer, B. and P. van Beek; Exploiting Temporal and Novel Information from the User in Plan Recognition; User Modeling and User Adapted Interaction Journal, Vol. 1, No. 2, pp. 125-148 , 1991. Cohen, R. and Young, M.; Determining Evidence Relations in Natural Language Arguments; Computational Intelligence, Vol. 7, No. 2, pp. 110-118, 1991. Cohen, R.; Implementing a model for understanding goal-oriented discourse; International Journal of Intelligent Systems, Vol. 5.,pp. 1-31, 1990. Cohen, R.; A Processing Model for the Analysis of One-Way Arguments in Discourse; Argumentation, Vol. 4, pp. 53-68, 1990. van Beek, P. and Cohen, R.; Exact and Approximate Reasoning about Temporal Relations; Computational Intelligence, Vol. 6, pp 132-144 (1990). Cohen, R., Jones, M., Sanmugasunderam, A., Spencer, B. and L. Dent; Providing Responses Specific to a User's Goals and Background; International Journal of Expert Systems, Vol. 2, No. 2, pp 135-162 (1989). Gotlieb, C.C. and Cohen, R.; Educating Tomorrow's Professionals; Journal of Business Ethics; Vol. 8, No. 2 and 3; pp. 193-200 (1989) Cohen, R.; On the Relationship between User Models and Discourse Models; Computational Linguistics special issue on User Modeling, Vol. 14, No. 3, pp. 88-90 (September 1988). Cohen, R.; Analyzing the Structure of Argumentative Discourse; Computational Linguistics, Vol. 13, No: 1-2, pp. 11-24 (January - June 1987). III - Papers in Refereed Conference Proceedings W. Khan and R. Cohen; A multiagent framework for understanding addiction; Canadian conference on AI 2018; 12 pages; 2018. N. Shaw, A. Stoeckel, R. Orr, T. Lidbetter and R. Cohen; Towards provably moral AI agents in bottom-up learning environments; Proceedings of AAAI AI Ethics and Society Conference 2018; 7 pages; 2018. Y. Wang, D. Friya, K. Liu and R. Cohen; An architecture for an AI military system with ethical rules; AAAI 2018 Spring Symposium on AI and Ethics; 7 pages; 2018. N. Shaw, A. Stoeckel, R. Orr, T. Lidbetter and R. Cohen; Towards provably moral AI agents in bottom-up learning environments; AAAI 2018 Spring Symposium on AI and Ethics; 7 pages; 2018. D. Ohashi, R. Cohen and X. Fu; The current state of online social networking for the health community: where trust modeling research may be of value; Proceedings of ACM Digital Health 2017; 10 pages; 2017. M. Cormier, R. Mann, K. Moffatt and R. Cohen; Towards an improved vision-based web page segmentation algorithm; Proceedings of Computer and Robot Vision (CRV) 2017; 8 pages; 2017. J. Doucette and R. Cohen; A restricted Markov tree model for inference and generation in social choice; Proceedings of AAMAS 2017; 8 pages; 2017. M. Cormier, R. Mann, R. Cohen, and K. Moffatt; Classification via Hidden Markov Trees for a Vision-Based Approach to Conveying Webpages to Users with Assistive Needs; Proceedings of ACM Web Intelligence 2016; 6 pages; 2016. H. Hosseini, K. Larson and R. Cohen; Investigating the characteristics of one-sided matching mechanisms; Proceedings of AAMAS 2016; 2 pages; 2016 H. Hosseini, K. Larson and R. Cohen; An empirical comparsion of one-sided matching mechanisms; Proceedings of EXPLORE workshop at AAMAS 2016; 8 pages; 2016 J. Doucette and R. Cohen; Content of annual reports as a predictor for long term stock movement; Proceedings of FLAIRS 2015; 6 pages; 2015. J. Doucette, H. Hosseini, A. Tsang, R. Cohen and K. Larson; Voting with social networks: truth springs from argument among friends; Proceedings of EXPLORE workshop at AAMAS 2015; 8 pages; 2015. J. Doucette, K. Larson and R. Cohen; Conventional machine learning for social choice; AAAI 2015; 7 pages; 2015. H. Hosseini, K. Larson and R. Cohen; Matching with dynamic ordinal preferences; AAAI 2015; 8 pages; 2015. H. Hosseini, K. Larson and R. Cohen; On manipulability of random serial dictatorship in sequential matching with dynamic preferences; AAAI 2015 Student Session; 2 pages; 2015. M. Cormier, R. Cohen, R. Mann, K. Rahim and D. Wang; A robust vision-based framework for screen readers; ECCV 2014 workshop on assistive computer vision and robotics; 15 pages; September 2014. R. Cohen, N. Sardana, K. Rahim, D.Y. Lam, M. Li, O. Maccarthy, E. Woo and G. Guo; Reducing information overload in social networks through streamlined presentation: a study of content-centric and person-centric contexts; Proceedings of WIT-EC workshop at AAAI 2014; 6 pages; 2014. G. Kastidou, K. Larson and R. Cohen; A trust model for truthful disclosure of anticipated contributions in multiagent systems; Proceedings of WIT-EC workshop at AAAI 2014; 6 pages; 2014. N. Sardana and R. Cohen; Validating trust models against realworld data sets; Proceedings of Privacy, Security and Trust conference (PST); 8 pages; 2014. N. Sardana and R. Cohen; Demonstrating the value of credibility modeling for trust-based approaches to online message recommendation; Proceedings of Privacy, Security and Trust conference (PST); 8 pages; 2014. J. Doucette, K. Larson and R. Cohen; Imputation via voting, for winner determination with partial preferences; COMSOC (Fifth international workshop on computational social choice) 2014; June 2014. J. Doucette, K. Larson and R. Cohen; Approximate Winner Selection in Social Choice with Partial Preferences; Proceedings of EXPLORE workshop at AAMAS 2014; 9 pages; May 2014. T. Tran, R. Cohen and E. Langlois; Establishing trust in multiagent environments: realizing the comprehensive trust management dream; Proceedings of TRUST workshop at AAMAS 2014; 9 pages; 2014. H. Hosseini, K. Larson and R. Cohen; A Game-Theoretic Analysis of Admission Decisions in Hospitals; Proceedings of HCGAT workshop at AAMAS 2014; 3 pages; 2014 N. Sardana and R. Cohen; Modeling agent trustworthiness with credibility for message recommendation in social networks; Proceedings of AAMAS 2014; p1423-1424; 2014. G. Pinhey, J. Doucette and R. Cohen; Distributed multiagent resource allocation with adaptive preemption for dynamic tasks; Proceedings of AAMAS 2014; p.1441-1442; 2014. D. Shaft and R. Cohen; A multiagent approach to ambulance allocation based on social welfare and local search; Proceedings of ICMLA 2013 conference; p. 384-389; December 2013. R. Cohen, N. Sardana, K. Rahim. D.Y. Lam, M. Li, O. Maccarthy, E. Woo, J. Zhang and G. Guo; Recommending messages to users in social networks: a cross-site study; Proceedings of ICMLA 2013 conference workshop on Big Data; 6 pages; December 2013. J. Doucette and R. Cohen; Addressing Pre-Emption Costs in Multiagent Resource Allocation for Medical Applications; AAAI 2013 workshop on Health Informatics and Artificial Intelligence (HIAI); 8 pages; July 2013. H. Hosseini, J. Hoey and R. Cohen; A Coordinated MDP Approach to Multi-Agent Resource Allocation, with Applications to Healthcare; AAMAS 2013 workshop on Multiagent Systems for Sequential Decision Making under Uncertainty (MSDM); 8 pages; May 2013. N. Sardana, J. Zhang and J. Champaign; Credibility-Based Trust in Social Networks; AAMAS 2013 workshop on Trust in Multiagent Systems (TRUST); 8 pages; May 2013. A. Khan, J. Doucette, R. Cohen and D. Lizotte; Integrating Machine Learning into a Medical Decision Support System to Address the Problem of Missing Patient Data; Proceedings of ICMLA 2012; December 2012; 4 pages. H. Hosseini, J. Hoey and R. Cohen; An Approximate Auction-Based Coordination Mechanism for Dynamic Patient Scheduling Under Uncertainty; Proceedings of INFORMS 2012; November 2012 (invited abstract). J. Champaign and R. Cohen; Leveraging a social network of peers for NetMedicine: personalizing the selection of web objects for improved health education; Proceedings of 1st International Workshop on Artificial Intelligence and NetMedicine at European Conference on Artificial Intelligence (ECAI); August 2012 (10 pages). J. Doucette, A. Khan, R. Cohen, D. J. Lizotte and H. M. Moghaddam; A Framework for AI-Based Clinical Decision Support that is Patient-Centric and Evidence-Based; Proceedings of EECAI Workshop on Netmedicine 2012; August 2012; 10 pages. J. Doucette, A. Khan, R. Cohen, and D. J. Lizotte; A Hybrid Design for Medical Decision Support using Data Mining to Impute Missing Data; Proceedings of KDD Workshop on Health Informatics 2012; August 2012; 8 pages. J. Champaign and R. Cohen; Learning from a network of peers via peer-driven adjustment of a corpus; Proceedings of SASWeb 2012: Semantic and Adaptive Social Web workshop at UMAP 2012 Conference; July 2012 (12 pages). J. Finnson, R. Cohen, J. Zhang, T. Tran and U. Minhas; Reasoning about User Trustworthiness with Non-Binary Advice from Peers' Proceedings of TRUM workshop at UMAP 2012; July 2012; 12 pages. J. Champaign and R. Cohen; Selective presentation of peer commentary on Web objects through a modeling of user similarity and reputability: reducing information overload in social networks; Proceedings of SRS 2012: Social Recommender Systems workshop at UMAP 2012 Conference; July 2012 (8 pages). J. Champaign and R. Cohen; Modeling trustworthiness of peer advice in a framework for presenting Web objects that supports peer commentary; Proceedings of TRUM 2012: Trust, Reputation and User Modeling workshop at UMAP 2012 Conference; July 2012 (12 pages). J. Champaign and R. Cohen; Personalized presentation of multimedia objects for home healthcare environments: a peer-based intelligent tutoring approach; Proceedings of TVM2P 2012: TV and Multimedia Personalization workshop at UMAP 2012 Conference; July 2012 (12 pages). H. Hosseini, J. Hoey and R. Cohen. A Market-based Coordination Mechanism for Resource Planning under Uncertainty. In Proceedings of AAAI 2012; July 2012. J. Finnson, J. Zhang, T. Tran, U. Minhas and R. Cohen. A Framework for Modeling Trustworthiness of Users in Mobile Vehicular Ad-hoc Networks and its Validation Through Simulated Traffic Flow. In Proceedings of UMAP 2012; July 2012. R. Kerr and R. Cohen. Detecting and Identifying Coalitions. In Proceedings of AAMAS 2012; June 2012. J. Doucette, A. Khan, and R. Cohen. A Comparative Evaluation of an Ontological Medical Decision Support System (OMeD) for Critical Environments. In Proceedings of the ACM International Health Informatics Symposium 2012; 5 pages; January 2012. H. Hosseini, J. Hoey, and R. Cohen. Multi-agent Patient Scheduling through Auctioned Decentralized MDPs. In Procedings of 6th INFORMS Workshop on Data Mining and Health Informatics 2011; 6 pages; November 2011. J. Champaign, R. Cohen, and J. Zhang. The Validation of an Annotations Approach to Peer Tutoring Through Simulation Incorporating the Modeling of Reputation. In Proceedings of International Conference on Computers in Education (ICCE); 5 pages; November 2011 R. Kerr and R. Cohen. Detecting and Identifying Coalitions. In Proceedings of Twenty-Fifth Conference on Artificial Intelligence (AAAI 2011) Workshop on Plan, Activity and Intent Recognition; 8 pages; August 2011. A. Khan, J. Doucette, and R. Cohen. An Ontological Approach for Querying Distributed Heterogeneous Information Systems Under Critical Operational Environments. In Proceedings of the 3rd Canadian Semantic Web Symposium; pages 76-88; August 2011. J. Gorner, J. Zhang and R. Cohen. Improving the Use of Advisor Networks for Multi-Agent Trust Modelling, In Proceedings of the 9th Annual Conference on Privacy, Security and Trust (PST), 2011 J. Champaign, J. Zhang, and R. Cohen. Coping with Poor Advice from Peers in Peer-Based Intelligent Tutoring: The Case of Avoiding Bad Annotations of Learning Objects. In Proceedings of User Modeling, Adaptation and Personalization (UMAP); 12 pages; July 2011 J. Champaign and R. Cohen. Exploring the Effects of Errors in Assessment and Time Requirements of Learning Objects in a Peer-Based Intelligent Tutoring System (Intelligent Tutoring Track). In Proceedings of FLAIRS Conference; 6 pages; May, 2011 A. Khan, J. Doucette, C. Jin, L. Fu, and R. Cohen. An Ontological Approach to Data Mining For Emergency Medicine. In Proceedings of the 2011 North East Decision Sciences Institute Annual Conference; 20 Pages; April 2011 C. Chen, J. Zhang, R. Cohen and P. Ho; Secure and Efficient Trust Opinion Aggregation for Vehicular Ad-hoc Networks; Proceedings of 2010 IEEE Vehicular Technology Conference; 5 pages; 2010. H. Wang, J. Zhang, C. Wan, S. Shao, R. Cohen, J. Xu and P. Li; Web Service Selection for Multiple Agents with Incomplete Preferences; Proceedings of IEEE/WIC/ACM International Conference on Web Intelligence (WI); 8 pages; 2010. U. Minhas, J. Zhang, T. Tran and R. Cohen; Intelligent Agents in Mobile Vehicular Ad-Hoc Networks: Leveraging Trust Modelling Based on Direct Experience with Incentives for Honesty; Proceedings of IAT-2010; 5 pages; 2010. C. Chen, J. Zhang, R, Cohen, P. Ho; A Trust Modeling Framework for Message Propagation and Evaluation in VANETs; Proceedings of ITCS 2010; (Best Paper Award) 8 pages; 2010. A. Seth, J. Zhang, R. Cohen; Bayesian Credibility Modeling for Personalized Recommendation in Participatory Media; Proceedings of 2010 International Conference on User Modeling, Adaptation and Personalization (UMAP); 12 pages; 2010. J. Zhang, R. Cohen and K. Larson; Leveraging a Social Network of Trust for Promoting Honesty in E-Marketplaces; Proceedings of 2010 IFIP International Conference on Trust Management (IFIPTM); 16 pages; 2010. C. Chen, J. Zhang, R. Cohen and P. Ho; A Trust-Based Message Propagation and Evaluation Framework in VANETs; Proceedings of 2010 IFIPTM Conference; 8 pages; 2010. J. Champaign and R. Cohen; Peer-Based Intelligent Tutoring Systems: A Corpus-Oriented Approach; Proceedings of 2010 International Conference on Intelligent Tutoring Systems; 3 pages; 2010. J. Champaign and R. Cohen; An Annotations Approach to Peer Tutoring; Proceedings of 2010 Educational Data Mining Conference; 10 pages; 2010. J. Champaign and R. Cohen; A Distillation Approach to Refining Learning Objects; Proceedings of 2010 Educational Data Mining Conference; 2 pages; 2010. H. Jung and R. Cohen; A Model for Reasoning About Interaction with Users in Dynamic, Time-Critical Environments for the Application of Hospital Decision Making; Proceedings of 2010 Canadian Artificial Intelligence Conference (AI 2010); 4 pages; 2010. J. Champaign and R. Cohen; A Model for Content Sequencing in Intelligent Tutoring Systems Based on the Ecological Approach and Its Validation Through Simulated Students; Proceedings of 23rd FLAIRS Conference Special Track on Intelligent Tutoring Systems; 6 pages; 2010. U. Minhas, J. Zhang, T. Tran and R. Cohen; Promoting Effective Exchanges Between Vehicular Agents in Traffic Through Transportation-Oriented Trust Modeling; Proceedings of AAMAS 2010 Workshop on Agents in Traffic and Transportation; 10 pages; 2010. J. Champaign and R. Cohen; A Multiagent, Ecological Approach to Content Sequencing; Proceedings of AAMAS 2010 Workshop on Multiagent Systems for Education; 6 pages; 2010. J. Gorner and R. Cohen; Optimizing Advisor Network Size in a Personalized Trust-Modeling Framework for Multi-Agent Systems; Proceedings of AAMAS 2010 Workshop on Trust in Agent Socieites; 12 pages; 2010. Fung, J. Zhang, I. Aib, R. Cohen and R. Boutaba; Design of a Simulation Framework to Evaluate Trust Models for Collaborative Intrusion Detection; Proceedings of International Conference on Network and Service Security; 5 pages; 2009. O. Baysal, M. Godfrey and R. Cohen; A Bug You Like: A Framework for Automated Assignment of Bugs; Proceedings of 17th IEEE Conference on Program Comprehension; 2 pages; 2009. G. Kastidou, R. Cohen and K. Larson; A Graph-Based Approach for Promoting Honesty in Community-Based Multiagent Systems; IJCAI09 workshop on Coordination, Organizations, Institutions and Norms (COINS); 15 pages; 2009. G. Kastidou, K. Larson and R. Cohen; Exchanging Reputation Information Between Communities: A Payment Function Approach; Proceedings of IJCAI09; 8 pages; 2009. R. Kerr and R. Cohen; An Experimental Testbed for Evaluation of Trust and Reputation Systems; Proceedings of Third IFIP WG11.11 International Conference on Trust Management (IFIPTM09); 16 pages; 2009. R. Kerr and R. Cohen; Smart Cheaters Do Prosper: Defeating Trust and Reputation Systems; Proceedings of AAMAS09; 8 pages; 2009. F. Song, R. Cohen and S. Lin; Web People Search Based on Locality and Relative Similarity Measures; Proceedings of WePS-2 workshop; WWW2009 Conference; 5 pages; 2009. G. Kastidou and R. Cohen; Improving the Performance of Electronic Communities by Sharing Reputation Ratings of Users; Grace Murray Hopper Conference; October 2008; 4 pages. Zhang, J., Sensoy, M. and Cohen, R.; A Detailed Comparison of Probabilistic Approaches for Coping with Unfair Ratings in Trust and Reputation Systems; Sixth Annual Conference on Privacy, Security and Trust (PST08) ; 2008 (12 pages) Zhang, J. and Cohen, R.; Seller Bidding in a Trust-based Incentive Mechanism for Dynamic E-marketplaces; Canadian Conference on Artificial Intelligence (AI08); 2008 (12 pages) Zhang, J., Larson, K. and Cohen, R.; Theoretical Validation and Extended Experimental Support for a Trust-Based Incentive Mechanism for E-Marketplaces; Conference on Autonomous Agents and Multiagent Systems (AAMAS08) Workshop on Trust in Agent Societies; 2008 (10 pages) Seth, A., Zhang, J. and Cohen, R.; A Multi-Disciplinary Approach for Recommending Weblog Messages; National Conference on Artificial Intelligence (AAAI08) Workshop on Enhanced Messaging; 2008 (6 pages) Seth, A., Zhang, J. and Cohen, R.; A Subjective Credibility Model for Participatory Media; National Conference on Artificial Intelligence (AAAI08) Workshop on on Intelligent Techniques for Web Personalization & Recommender Systems; 2008 (12 pages) Kastidou, G. and Cohen, R.; Trust-Oriented Utility-Based Community Structure in Multiagent Systems; Workshop on Economic Models for Distributed Systems, SIGAPP Mardigras Conference, January 2008 (10 pages). Li, J., Cercone, N. and Cohen R.; Addressing missing attributes during data mining using frequent itemsets and rough set based predictions; IEEE International Conference on Granular Computing; November 2007 (7 pages). Zhang, J. and Cohen R.; Design of a Mechanism for Promoting Honesty in E-Marketplaces; Twenty-second national conference on Artificial Intelligence (AAAI07); July 2007 (6 pages). Kerr, R. and Cohen, R.; Guaranteed Security in Trust and Reputation Systems; AAMAS07 workshop on Trust in in Agent Societies; May 2007 (11 pages). Zhang, J. and Cohen R.; Towards More Effective E-Marketplaces: A Novel Incentive Mechanism; AAMAS07 workshop on Trust in in Agent Societies; May 2007 (12 pages). Zhang, J. and Cohen R.; An Incentive Mechanism for Eliciting Fair Ratings of Sellers in E-Marketplaces; Proceedings of AAMAS07; May 2007 (3 pages). Kerr, R. and Cohen, R.; Towards Provably Secure Trust and Reputation Systems in E-Marketplaces; Proceedings of AAMAS07; May 2007 (3 pages). Zhang, J. and Cohen R; Engendering Trust in Buying and Selling Agents by Discouraging the Reporting of Unfair Ratings; AAAI Spring Symposium on Interaction Challenges for Artificial Assistants; March 2007 (8 pages). Kerr, R. and Cohen, R.; Modeling Trust Using Transactional, Numerical Units; Proceedings of International Conference on Privacy, Security and Trust PST 2006, October 2006 (11 pages). Zhang, J., Ghorbani, A. and Cohen R; An Improved Familiarity Measurement for Formalization of Trust in E-Commerce Based Multiagent Systems; PST 2006, October 2006 (10 pages). Zhang, J. and Cohen R; Trusting Advice from Other Buyers in E-Marketplaces: The Problem of Unfair Ratings; International Conference on Electronic Commerce 2006, August 2006, (10 pages) Regan, K., Poupart, P. and Cohen, R.; Bayesian Repuation Modeling in E-Marketplaces Sensitive to Subjectivity, Deception and Change; AAAI06, July 2006 (6 pages) Caine, A. and Cohen, R.; MITS: A Mixed-Initiative Intelligent Tutoring System for Sudoku; Canadian Artificial Intelligence Conference (AI06), (12 pages). Cheng, M. and Cohen, R.; Integrating information gathering interaction into transfer of control strategies in adjustable autonomy multiagent systems; Canadian Artificial Intelligence Conference (AI06); June 2006 (12 pages). Zhang, J. and Cohen R; A Trust Model for Sharing Ratings of Information Providers on the Semantic Web; Canadian Semantic Web Working Symposium; (13 pages). Kastidou, G. and Cohen, R.; An approach for delivering personalized ads in interactive TV customized to both users and advertisers; EuroiTV Conference; May 2006 (10 pages). Kerr, R. and Cohen, R.; Trunits: A Monetary Approch to Modeling Trust in Electronic Marketplaces; AAMAS06 workshop on Trust in Multiagent Systems; May 2006 (11 pages). Zhang, J. and Cohen R; A Personalized Approach to Address Unfair Ratings in Multiagent Reputation Systems; AAMAS06 workshop on Trust in Multiagent Systems; May 2006 (10 pages). Chodos, D. and Cohen, R.; A methodology combining email and web pages for announcing research opportunities to researchers at a university; SIGMIS-CPR2006 conference; April 2006 (12 pages). Cohen, R., Cheng, M. and Fleming, M.; Why bother about bother: Is it worth it to ask the user?; AAAI05 Fall Symposium on Mixed-Initiative Systems; November 2005 (8 pages). Regan, K., Cohen, R. and Poupart, P.; The Advisor POMDP: A Principled Approach to Trust Through Reputation in Electronic Markets; Best Student Paper Award: Proceedings of Privacy, Security and Trust Conference 2005; November 2005 (10 pages). Cheng, M. and Cohen, R.; Reasoning about interaction in a multi-user system; User Modeling 2005 Conference; July 2005 (11 pages). Regan, K., Tran, T. and Cohen, R.; Sharing models of sellers amongst buying agents in electronic marketplaces; DASUM workshop at User Modeling 2005 Conference; July 2005 (6 pages). Cheng, M. and Cohen, R.; A hybrid transfer of control model for adjustable autonomy multiagent systems; Autonomous Agents and Multi-Agent Systems Conference (AAMAS) 2005; July 2005; (4 pages). Cheng, M., Micacchi, C. and Cohen, R; Adjusting the autonomy of collections of agents in multiagent systems; AI 2005 Conference; May 2005 (5 pages). Regan, K. and Cohen, R.; Indirect reputation assessment for adaptive buying agents in electronic markets; Baseweb workshop at AI 2005 Conference; May 2005 (11 pages). Tran, T. and Cohen, R.; Improving user satisfaction in agent-based electronic marketplaces by reputation modelling and adjustable product quality; Proceedings of the Autonomous Agents and Multi-Agent Systems Conference (AAMAS) 2004; July 2004, p. 828-835. Micacchi, C. and Cohen, R.; An architecture for managing teams of agents operating in soft real-time environments with unexpected events; AAMAS04 workshop on Coalitions and Teams; July 2004 (8 pages). Tran, T. and Cohen, R.; The macro behaviour of e-marketplaces based on reputation modelling; Proceedings of Baseweb04 workshop, held at AI04; May 2004, p.21-30. Micacchi, C. and Cohen, R.; A multi-agent architecture for systems operating in real-time environments; AI04 workshop on agents meets robotics; May 2004, p.27-32. Fleming, M. and Cohen, R.; A decision procedure for autonomous agents to reason about interaction with humans; AAAI04 Spring Symposium on interaction between humans and autonomous systems over extended operation; March 2004, p.81-86. Fleming, M. and Cohen, R.; Reasoning about interaction in mixed-initiative AI systems; IJCAI03 workshop on mixed-initiative intelligent systems; August 2003 (10 pages). Tran, T. and Cohen, R.; Learning algorithms for software agents in uncertain and untrusted market environments; Proceedings of IJCAI03; August 2003, p. 1475-1476. Tran, T. and Cohen, R.; Modelling reputation in agent-based marketplaces to improve the performance of buying agents; Proceedings of UM03; June 2003, p. 273-282. Dai, W. and Cohen, R.; Dynamic personalized TV recommendation system; Proceedings of UM03 workshop on Personalization in Future TV; June 2003 (10 pages). Tran, T. and Cohen, R.; A strategy for improved satisfaction of selling software agents in e-commerce; Proceedings of AI03; June 2003, p.434-446. Cohen, R.; Safeguarding user privacy in the context of personal digital assistants; CSCW2002 workshop on privacy in digital environments: empowering users; November 2002 (4 pages). Tran, T. and Cohen, R.; A learning algorithm for agents in electronic marketplaces; AAAI02 workshop on multi-agent modeling and simulation of economic systems; August 2002, p.31-43. Chen, D. and Cohen, R.; AERO: an outsourced approach to exception handling in multi-agent systems; Proceedings of AI02; May 2002, p.16-30. Tran, T. and Cohen, R.; A learning algorithm for buying and selling agents in electronic marketplaces; Proceedings of AI02; May 2002, p.31-43. Fleming, M. and Cohen, R.; A utility-based theory of initiative in mixed-initiative systems; IJCAI01 workshop on autonomy, delegation and control: interacting with autonomous agents; August 2001, p.58-65. Chen, D. and Cohen, R.; Outsourced exception handling for agent systems; IJCAI01 workshop on autonomy, delegation and control: interacting with autonomous agents; August 2001 (8 pages). Tran, T. and Cohen, R.; A learning strategy for economically-motivated agents in market environments; IJCAI01 workshop on knowledge discovery from distributed, dynamic, heterogeneous, autonomous sources; August 2001, p.51-56. Fleming, M. and Cohen, R.; A user modeling approach to determining system initiative in mixed-initiative AI systems; Proceedings of User Modeling 2001 conference; July 2001, p.54-63. Fleming, M. and Cohen, R.; Dialogue as decision making under uncertainty: the case of mixed-initiative AI systems; North American Computational Linguistics workshop on adaptation in dialogue systems (NAACL01); June 2001 (2 pages). Cohen, R., Vanderheyden, P., Fleming, M. and Cartmill, C.; Meeting Users' Information Needs Through Interaction; poster session, Intelligent User Interfaces conference (IUI2001); January 2001. Fleming, M. and Cohen, R.; Mixed-Initiative Translation of Web Pages; Proceedings of the Association for Machine Translation in the Americas (AMTA2000), ; October 2000, p.25-29. Vanderheyden, P. and Cohen, R; Interfacing Issues for Information Extraction; Proceedings of AAAI2000 (Student Session); p.1096; July 2000. Tran, T. and Cohen, R.; Hybrid Recommender Systems for Electronic Commerce; AAAI2000 workshop on Knowledge-Based Electronic Markets; p.78-84; July 2000. Fleming, M. and Cohen, R.; System Initiative Influenced by Underlying Representations in Mixed-Initiative Planning Systems; AAAI2000 workshop on Representational Issues for Real-World Planning Systems; pp.18-21; July 2000. Vanderheyden, P. and Cohen, R.; Adaptive User Interfaces for Information Extraction; AAAI2000 Spring Symposium on Adaptive User Interfaces; pp.136-141; March 2000. Cohen, R. and Fleming, M., Plans underlying mixed-initiative intelligent interfaces; Proceedings of IUI2000 workshop on Using Plans in Intelligent User Interfaces; pp.23-25; January 2000. Cartmill, C. and Cohen, R.; A Multi-Agent Framework for Facilitating Information Extraction; Proceedings of IJCAI99 workshop on Intelligent Workflow; 5 pgs.; August 1999. Fleming, M. and Cohen, R; Towards a Methodology for Designing and Evaluating Mixed-Initiative AI Systems; Proceedings of AAAI99 workshop on Mixed-Initiative Intelligence; pp.130-134; July 1999. Vanderheyden, P. and Cohen, R.; Designing a Mixed-Initiative Information Extraction System; Proceedings of AAAI99 workshop on Mixed-Initiative Intelligence; pp.142-146; July 1999. Cartmill, C. and Cohen, R.; Insights into the design of middle agent architectures; Proceedings of AAAI99 workshop on Electronic Commerce and AI; p.111-112; July 1999. Cartmill, C. and Cohen, R.; A multi-agent framework for facilitating information extraction; Proceedings of AAAI99 workshop on Intelligent Information Systems; 3 pgs.; July 1999. Fleming, M. and Cohen, R.; User modeling and the design of more interactive interfaces; UM99 conference; pp.67-76; May 1999. Vanderheyden, P. and Cohen, R.; A Dynamic Interface for a Dynamic Task: Information Extraction and Evolving Queries; AAAI Spring Symposium on Autonomous Agents with Adjustable Autonomy; pp.120-123; March 1999. Vanderheyden, P. and Cohen, R.; Information extraction and the casual user; AAAI98 workshop on information integration; pp.137-142; July 1998. Fleming, M. and Cohen, R.; Interactive interface agents as recommender systems; AAAI98 workshop on recommender systems; pp.42-46; July 1998. Fleming, M. and Cohen, R.; Designing more interactive interface agents; AAAI98 workshop on software agent tools; Madison, WI: pp.125-126; 1998. Donaldson, T. and Cohen, R.; Planning the next action with constraints; Proceedings of AI98 (Canadian AI conference); 7 pgs.; May 1998. Fleming, M. and Cohen, R.; User modeling and the design of more interactive interfaces; UM99 conference; (May 1999). Vanderheyden, P. and Cohen, R.; A Dynamic Interface for a Dynamic Task: Information Extraction and Evolving Queries; AAAI Spring Symposium on Autonomous Agents with Adjustable Autonomy; Stanford, CA.; March 1999. Vanderheyden, P. and Cohen, R.; Information extraction and the casual user; AAAI98 workshop on information integration; Madison, WI; 1998. Fleming, M. and Cohen, R.; Interactive interface agents as recommender systems; AAAI98 workshop on recommender systems; Madison, WI; 1998. Fleming, M. and Cohen, R.; Designing more interactive interface agents; AAAI98 workshop on software agent tools; Madison, WI: 1998. Donaldson, T. and Cohen, R.; Planning the next action with constraints; Proceedings of AI98 (Canadian AI conference); Vancouver, B.C.; 1998. Donaldson, T. and Cohen, R.; Constraint-based discourse agents; AAAI97 workshop on constraints and agents; July 1997. Donaldson, T. and Cohen, R.; Computer-generated dialog as a resource-bounded activity; AAAI97 workshop on resource-bounded processing; July 1997. Donaldson, T. and Cohen, R.; A constraint satisfaction framework for managing mixed-initiative discourse; AAAI97 Spring symposium on mixed-initiative interaction; March 1997. Donaldson, T. and Cohen, R.; Turn-taking in discourse and its application to the design of intelligent agents; AAAI96 workshop on intelligent agents. Portland, Oregon; August 1996. Donaldson, T., Makuta, M. and R. Cohen; An integrated approach to evaluating text coherence and its application to the prevention of reader misconceptions (or the joy of detecting incoherence in text); AAAI96 workshop on miscommunication in discourse. Portland, Oregon; August 1996. Donaldson, T. and Cohen, R.; Addressing user misconceptions within a goal-oriented, turn-taking framework for dialogue; AAAI96 workshop on miscommunication in discourse. Portland, Oregon; August 1996. Ardissono, L. and Cohen, R.; Extending the role of user feedback in plan recognition and response generation for advice-giving systems: an initial report; Proceedings of AI96; Toronto, Ontario; May 1996. Song, F. and Cohen, R.; Improving heuristic-based temporal analysis of narratives with aspect determination; Proceedings of International Joint Conference on Artificial Intelligence (IJCAI) 1995; Montreal, Quebec; August 1995. Ardissono, L. and Cohen, R.; On the value of user modeling for improving plan recognition; IJCAI95 workshop on the next generation of plan recognition systems; Montreal, Quebec; August 1995. Cohen, R., Spencer, B. and P. Hoyt; Designing a tool to allow updates during plan recognition - challenges and applications; Proceedings of 6th international conference on Tools with Artificial Intelligence (TAI '94), November 1994. Cohen, R.; Discussion group on a self-directed study version of an AI course; AAAI Fall Symposium on teaching introductory AI, November 1994. Cohen, R., Schmidt, K. and P. van Beek; Relevance in plan recognition for advice-giving systems; Proceedings of AAAI Fall Symposium on Relevance, November 1994. Cohen, R., Schmidt, K. and P. van Beek; A framework for soliciting clarification from users during plan recognition; Proceedings of User Modeling conference 1994, August 1994. Spencer, B. and Cohen, R.; A Non-Horn ATMS which allows flexible specification of required completeness; Proceedings of CSCSI 94, May 1994. Cohen, L. and Cohen, R.; Electronic mail: changing communication within the academic setting; Canadian Psychological Association convention, May 1993. Cohen,R. and Spencer, B.; Specifying and updating plan libraries for plan recognition; Proceedings of 9th IEEE conference on AI applications (CAIA), March 1993. van Beek, P., Cohen, R. and K. Schmidt; Towards Building a Cooperative Advice-Giving System; AAAI Spring Symposium on Producing Cooperative Explanations, Stanford, CA, March 1992. Chu, J. and Cohen, R.; TailoringNatural Language Generation by User Model Attributes; 4th International Symposium on Artificial Intelligence; Cancun, Mexico, November 1991. van Beek, P. and Cohen, R.; Resolving Plan Ambiguity for Cooperative Response Generation; Proceedings of IJCAI91, August 1991. Song, F. and Cohen, R.; Tense Interpretation in the Context of Narrative; Proceedings of AAAI91, July 1991. Song, F. and Cohen, R.; Temporal Reasoning during Plan Recognition; Proceedings of AAAI91, July 1991. Cohen, R.; In Search of Practical Specifications - Allowing the User a More Active Role; AAAI91 Spring Symposium on Implemented KR and Reasoning Systems, March 1991. Cohen, R.; Evaluating Criteria for Natural Language Generation Systems - What must be included and what must be avoided; AAAI90 workshop on evaluating Generation Systems; July 1990. van Beek, P. and Cohen, R.; Resolving Plan Ambiguity for Response Generation; Fifth international workshop on Natural Language Generation; June 1990. Cohen, R., Song, F., Spencer, B. and P. van Beek; Plan Recognition Beyond Fixed Plan Libraries; Second international workshop on User Modeling; March 1990. Cohen, R.; Dimensions of User Modeling for Disambiguating Complex Input; International Joint Conference on Artificial Intelligence (IJCAI) workshop on Intelligent Interfaces: August 1989. Cohen, R. and Spencer, B.; Research Interests in Plan Recognition: Assimilating Novel Plans; International Joint Conference on Artificial Intelligence (IJCAI) workshop on plan recognition; August 1989. Cohen, R.; Recognizing Plans in Discourse; American Association for Artificial Intelligence (AAAI) workshop on Plan Recognition; St. Paul, Minnesota; August 1988. Cohen, R.; Producing User-Specific Explanations; American Association for Artificial Intelligence (AAAI) workshop on explanation; St. Paul, Minnesota; August 1988. Song, F. and Cohen, R.; The Interpretation of Temporal Relations in Narrative, Proceedings of American Association of Artificial Intelligence (AAAI) 1988 conference, St. Paul, Minnesota, August 1988. Young, M. and Cohen, R.; An Evidence Oracle for Argument Understanding; Proceedings of Canadian society for Computational Studies of Intelligence (CSCSI) 1988 conference; Edmonton, Alberta; May 1988. Cohen, R.; Interpreting Clues in Conjunction with Processing Restrictions in Arguments and Discourse; Proceedings of the American Association for Artificial Intelligence (AAAI) 1987 conference; May 1987. van Beek, P. and Cohen, R.; Towards User-Specific Explanations from Expert Systems; Proceedings of Canadian Society for Computational Studies of Intelligence (CSCSI) 1986 conference; May 1986. Cohen, R.; The Need for Pragmatics in Natural Language Understanding; Proceedings of CSCSI-sponsored Theoretical Advances in Natural Language Understanding; May 1985. Cohen, R.; A Computational Theory of the Function of Clue Words in Argument Understanding; Proceedings of International Computational Linguistics Society (COLING) 1984 conference; June 1984. Cohen, R.; A Theory of Discourse Coherence for Argument Understanding; Proceedings of Canadian Society for Computational Studies of Intelligence (CSCSI) 1984 conference; May 1984. Cohen, R.; Investigation of Processing Strategies for the Structural Analysis of Arguments; Proceedings of ACL(Association for Computational Linguistics) Conference 1981; June 1981. Cohen, R.; Understanding Arguments; Proceedings of CSCSI (Canadian AI Society) Conference 1980; May 1980. Conference Organization Chair Positions 2016 Co-Chair, Trust workshop at AAMAS 2016 2014 Co-Chair, Trust workshop at AAMAS 2014 2012 Co-Chair, Doctoral Consortium at UMAP 2012 2002 Co-Chair, Canadian Artificial Intelligence Conference 1992 Co-Chair, User Modeling Conference Leaves of Absence and Part-Time 1996-1997 50% Partial Leave (September to August) 1994-1994 Unpaid Leave (January to October) 1991-1992 Maternity Leave (May to October) diff --git a/src/data/compiled_bios/2812.txt b/src/data/compiled_bios/2812.txt new file mode 100644 index 0000000000..a317e2c2ca --- /dev/null +++ b/src/data/compiled_bios/2812.txt @@ -0,0 +1 @@ +G. V. Cormack (cormack@cormack.uwaterloo.ca) Gordon V. Cormack Professor David R. Cheriton School of Computer Science University of Waterloo 2502 Davis Centre University of Waterloo Waterloo, Ontario N2L 3G1 Canada tel: (519) 888 4567 (34450) fax: (519) 885 1208 cormack@cormack.uwaterloo.ca My current research involves high-stakes information retrieval, in which demonstrating the reliability and thoroughness of retrieval methods is of primary importance. A specific instance of high-stakes information retrieval is technology-assisted review (TAR) for electronic discovery in legal matters. My past research has involved programming languages, compilers, data structures, concurrency, and distributed computing. Here is a list of my publications. I'm a member of the program committee for the Text Retrieval Conference (TREC), coordinator of the TREC Total Recall Track, past coordinator of the TREC Legal Track and Spam Track. For twelve years I was coach of Waterloo's ACM International Collegiate Programming Contest team, qualifying for the World Finals every year, winning one World Championship, and two North American Championships. For six years I served as a member of the International Scientific Committee of The International Olympiad for Informatics, and served as Scientific Director when Canada hosted IOI '2010 in Waterloo. diff --git a/src/data/compiled_bios/2813.txt b/src/data/compiled_bios/2813.txt new file mode 100644 index 0000000000..c452cc35a6 --- /dev/null +++ b/src/data/compiled_bios/2813.txt @@ -0,0 +1 @@ +Bill Cowan's Homely Page Bill Cowan's Homely Page Who am I? Bill Cowan Director, Computer Graphics Laboratory, University of Waterloo, Waterloo, Ontario, Canada. E-mail: [wW][mM][cC][oO][wW][aA][nN] AT cgl DOT UWaterloo DOT ca Telephone: 519.888.4567 x4527 I am a prof, which means that I do some research, some teaching, some administration, some other stuff, and even give the occasional lecture. Professorial Appointments Associate Professor, David R. Cheriton School of Computer Science, University of Waterloo Erstwhile Associate Professor (cross-appointed), Department of Psychology, University of Waterloo Erstwhile Associate Professor (cross-appointed), Fine Arts Department, University of Waterloo Erstwhile Professorial Fellow on the Economics of Science and Innovation, MERIT, University of Maastricht Personal Stuff Address: 35 Courtland Avenue West, Kitchener, Ontario, Canada. Telephone: 519.744.4135. Here's a map showing how to get to my house. Aphorisms Object-orientation is the Roman numerals of programming. Rob Pike. STL is not object oriented. I think that object orientedness is almost as much of a hoax as Artificial Intelligence. I have yet to see an interesting piece of code that comes from these OO people. Shared libraries are obviously a good idea until you've actually used them. There is no problem in computer science that cannot be solved by another level of indirection - except performance. One can't proceed from the informal to the formal by formal means. Przybylski. C++ is to C as lung cancer is to lung. Java is 100% buzz-word compliant. Many familiar computing `concepts' are missing from UNIX. Files have no records. There are no access methods. User programs contain no system buffers. There are no file types. These concepts fill a much needed gap. Ken Thompson The cheapest, fastest and most reliable components of a computer system are those that aren't there. Ken Thompson Deletion is the most important tool of software design. I was fortunate, however, to see some great mathematicians at work and became totally immune to a pseudo-mathematical rigor that unfortunately is so common in Computer Science. The essence of XML is this: the problem it solves is not hard, and it does not solve the problem well. Phil Wadler. It is written in GNU coding style, which hurts my eyes and brain. Gnuemacs is portable, except to machines that are too small. The MS programming motto, `Don't think; type!' Re MS marketing: There's a reason for the funny names. If they don't include the word `object' enough times, they'll lose their Tier 1 status in the buzzword hierarchy. Do not spend too much time trying to figure out why this math works. The basis for the computation is complicated; the important point is that this is how Microsoft operating systems do it, and it works. Note, however, that this math does not work perfectly. Microsoft EFI FAT32 File System Specification, p. 32 >I'm just curious about causality that kept OpenBSD in the clear of this one >that made such headlines yesterday. We didn't chase the fad of using every Intel cpu feature. At any particular moment in the history of science, the most important and fruitful ideas are often lying dormant merely because they are unfashionable. Especially in mathematical physics, there is commonly a lag of fifty or a hundred years between the conception of a new idea and its emergence into the mainstream of scientific thought. If this is the time scale of fundamental advance, it follows that anybody doing fundamental work in mathematical physics is almost certain to be unfashionable. Freeman Dyson. Rule 3. Fancy algorithms are slow when n is small, and n is usually small. Rob Pike But one must admit that the mathematical literature contains lots of junk, because some people need to publish for career reasons even if they have little interest in what they are doing. Ruelle. Inside every large problem is a small problem struggling to get out. Niklaus Wirth You want to make your way in the CS field? Simple. Calculate rough time of amnesia (hell, 10 years is plenty, probably 10 months is plenty), go to the dusty archives, dig out something fun, and go for it. It's worked for many people, and it can work for you. Ron Minnich One thing I really love about plan 9 is the ability to make big changes like this without having as step 1: boil the oceans. Justin Jackson Because there are no experiments this field is not an active one, so few of the best men are doing work in it. The result is that there are [sic] a host of dopes here (126) and it is not good for my blood pressure. Feynman. If a high impact factor is the only goal of chemistry research, then chemistry is no longer a science. Nai-Xing Wang. The growth of scientific knowledge has obviously [sic] spurred a massive explosion of technology. But, the driving spirit of science is not to change the world but to understand it. Kwame Appiah. Enrico Fermi, wanting to encourage individual creativity and innovation, required his PhD students to select their problem, solve it, and submit the results for publication in their name alone. Robert Fefferman, dean of physical sciences at the University of Chicago. (Even if it does have the evil I-word, innovation.) Words on presentation slides are a very good idea, but only when the audience is deaf. Modern academic life seems to me more and more like a Japanese car factory -- with scholarship that could just as well be produced by robots. John Sutherland. To function effectively in an environment that precludes everything vital and human is the key to modern life. David Foster Wallace. If you are immune to boredom there is literally nothing you cannot accomplish. David Foster Wallace. An economist is someone who has had a human being described to him, but has never actually seen one. Marshall on how to do & communicate research (1) Use mathematics as a shorthand language, rather than an engine of inquiry. (2) Keep to them till you have done. (3) Translate into English. (4) Then illustrate by examples that are important in real life. (5) Burn the mathematics. (6) If you can't succeed in (4), burn (3). This last I did often. Academics have no duty other than to state the truth as they see it. Willem Buiter. People with moral preoccupations, and courage, are uncommon. And scientists do not rate better than average in this respect. Ruelle, writing about Grothendieck. I openly confess, the suggestion of David Hume was the very thing, which many years ago first interrupted my dogmatic slumber. Kant Ficum voco ficum, et ligonem ligonem. Robert Burton. `Not only' out of place is like a tintack loose on the floor; it might have been most serviceable somewhere else, and is capable of giving acute and undeserved pain where it is. Fowler. Les Francais goutent de la liberte comme de la liqueurs fortes avec lesquelles ils s'envirent. We have now sunk to a level where restatement of the obvious is the first duty of intelligent men. Anyhow, for what it's worth, I really would be surprised to find out that I was meant to be a hunter-gatherer since I don't feel the slightest nostalgia for that sort of life. I loathe the very idea of hunting, and I'm not all that keen on gathering either. Nor can I believe that living like a hunter-gatherer would make me happier or better. In fact, it sounds to me like absolute hell. No opera. And no plumbing. Jerry Fodor. Some people have a foolish way of not minding, or pretending not to mind, what they eat. For my part, I mind my belly very studiously, and very carefully; for I look upon it, that he who does not mind his belly will hardly mind anything else. Boswell's Life of Johnson. One of these days in your travels, a guy is going to show you a brand-new deck of cards on which the seal is not yet broken. Then this guy is going to offer to bet you that he can make the jack of spades jump out of this brand-new deck of cards and squirt cider in your ear. But, son, do not accept this bet, because as sure as you stand there, you're going to wind up with an ear full of cider. Studs Turkle. Re John Grisham. It is like reading toothpaste, but without the unbearable excitement. Sean O'Brien. If money is your hope for independence you will never have it. The only real security that a man will have in this world is a reserve of knowledge, experience, and ability. Henry Ford. Welcome to 21st century capitalism, where management never has to admit, much the less bear, the consequences of its errors. Just take it out of the hide of the little guy. Yves Smith. Live as if you were to die tomorrow. Learn as if you were to live forever. Ghandi. I find television very educational. Whenever the set is turned on I go into the next room and read a book. Marx. Know thyself. Socrates. Become who you are. Nietzsche, via Badiou. Making money cannot be an end in itself, at least for anyone not suffering from acute mental disorder. Keynes. diff --git a/src/data/compiled_bios/2814.txt b/src/data/compiled_bios/2814.txt new file mode 100644 index 0000000000..d660a51303 --- /dev/null +++ b/src/data/compiled_bios/2814.txt @@ -0,0 +1 @@ +Nancy Day: Home Nancy Day Associate Professor David R. Cheriton School of Computer Science University of Waterloo Home Publications Journals/Conferences Technical Reports Theses Models Students Teaching Service Contact Google Scholar DBLP ACM Digital Library I study how to model and analyze software-intensive systems to improve their quality and safety. As the complexity and utility of software continues to increase, industry needs ways of ensuring the correctness of their products. I use a range of formal analysis tools: model checkers, SMT and SAT solvers, and theorem provers. Areas of research: software engineering, model-driven engineering (MDE), modelling and analysis, formal methods, system safety, requirements specification and analysis. Research Groups: Waterloo Formal Methods (WatForm), Software Engineering Lab. Brief Bio: I arrived at the University of Waterloo in January, 2001. Previously, I was a Postdoctoral Research Associate at the Oregon Graduate Institute. I completed my PhD at the University of British Columbia in October 1998 working with Dr. Jeff Joyce. My undergraduate degree is from the University of Western Ontario, where I spent much of my time running with the cross-country and track and field teams. My work has won awards at MODELS (International Conference on Model-Driven Engineering, Languages and Systems) and ISSC (International System Safety Conference). If you are a prospective graduate or undergraduate student interested in working with me, please follow this link for details. I am also interested in computer science outreach activities. I volunteer at elementary schools to introduce computing to students and participate in related activities with UW's Centre for Education in Mathematics and Computing. I enjoy supporting the tech club at my children's school where we run robots in circles around the teachers! David R. Cheriton School of Computer Science, University of Waterloo Last modified on Wednesday 30th of January 2019 07:33:46 PM diff --git a/src/data/compiled_bios/2815.txt b/src/data/compiled_bios/2815.txt new file mode 100644 index 0000000000..c9f183c7d5 --- /dev/null +++ b/src/data/compiled_bios/2815.txt @@ -0,0 +1 @@ +Home Page Toggle navigation Home Page Home News Tags Publications Code Talks Projects Students Teaching Contact Kimon Fountoulakis Assistant Professor School of Computer Science, University of Waterloo Biography I am an assistant professor in the School of Computer Science at the University of Waterloo. I am also a Principal Investigator at the International Computer Science Institute. Prior to this I was a postdoctoral fellow at the University of California Berkeley in the Department of Statistics, where I worked with Michael Mahoney. I completed a PhD in optimization in the School of Mathematics at the University of Edinburgh under the supervision of Prof. Jacek Gondzio. Interests Optimization Machine Learning Graph Analytics High Performance Computing Education PhD in Numerical Optimization, 2015 University of Edinburgh MSc in Operational Research and Computational Optimization, 2010 University of Edinburgh BSc in Management Science and Technology, 2009 Athens University of Economics and Business Tags Block Coordinate Descent Combinatorial Diffusion Communication Avoiding Methods Community Detection Compressed Sensing Distributed Optimization Graph Analytics Graph Clustering Graph Theory Interior Point Methods Iteration Complexity Least-Squares Local Graph Clustering Machine Learning Network Analysis Newton-type Numerical Optimization Optimization Parallel Methods Preconditioning Primal-Dual Methods Problem Generator Randomized Methods Shared-Memory Optimization Smooth Minimization Sparse PCA Publications E. Faerman, F. Borutta, K. Fountoulakis, M. W. Mahoney. Locality And Structure Aware Graph Node Embedding. WI2018, 2018. Preprint PDF K. Fountoulakis, R. Tappenden. A Flexible Coordinate Descent Method. COAP, 2018. Preprint PDF Code Slides A. Devarakonda, K. Fountoulakis, J. Demmel, M. Mahoney. Avoiding Synchronization in First-Order Methods for Sparse Convex Optimization. IPDPS, 2018. Preprint PDF Slides Video K. Fountoulakis, F. Roosta-Khorasani, J. Shun, X. Cheng, M. Mahoney. Variational Perspective on Local Graph Clustering. Math. Program., 2017. Preprint PDF Code Slides Video D. Wang, K. Fountoulakis, M. Henzinger, M. Mahoney, S. Rao. Capacity Releasing Diffusion for Speed and Locality. ICML, 2017. Preprint PDF Code Video A. Devarakonda, K. Fountoulakis, J. Demmel, M. Mahoney. Avoiding communication in primal and dual block coordinate descent methods. 2017. Preprint Slides Video K. Fountoulakis, A. Kundu, E.-M. Kontopoulou, P. Drineas. A Randomized Rounding Algorithm for Sparse PCA. TKDD, 2017. Preprint PDF K. Fountoulakis, D. Gleich, M. Mahoney. An Optimization Approach to Locally-Biased Graph Algorithms. PIEEE, 2017. Preprint PDF Code Slides Video K. Fountoulakis, J. Gondzio. Performance of First- and Second-Order Methods for L1-Regularized Least Squares Problems. COAP, 2016. Preprint PDF Code Slides K. Fountoulakis, J. Gondzio. A Second-Order Method for Strongly-Convex L1-Regularization Problems. Math. Program., 2016. Preprint PDF Code Slides J. Shun, F. Roosta-Khorasani, K. Fountoulakis, M. Mahoney. Parallel Local Graph Clustering. VLDB., 2016. Preprint PDF Code Slides K. Fountoulakis. Higher-Order Methods for Large-Scale Optimization. PhD Thesis, 2015. PDF Slides I. Dassios, K. Fountoulakis, J. Gondzio. A Preconditioner for a Primal-dual Newton Conjugate Gradients Method for Compressed Sensing Problems. SIAM J. Sci. Comput., 2015. Preprint PDF Code Slides K. Fountoulakis, J. Gondzio, P. Zhlobich. Matrix-free interior point method for compressed sensing problems. Math. Program., 2014. Preprint PDF Code Slides Code Local Graph Clustering provides methods to find local clusters in a given graph without touching the whole graph. C++ implementation with Python interface. Trillion. Instance generators for l1-regularized over- and underdetermined least squares. The generators are implemented in MATLAB, they are memoryless and computationally inexpensive. Hence, large-scale instances can be created. pdNCG: primal-dual Newton Conjugate Gradients. A MATLAB implementation for the solution of unconstrained l1-regularized problems. For example, Machine Learning problems, such as l1-regularized least-squares and logistic regression, Compressed Sensing problems, such as l1-synthesis, l1-analysis and isotropic total-variation. The solver is memoryless, it requires only matrix-vector product operations, hence it is appropriate for large-scale instances. MFIPMCS: Matrix-free Interior Point Method for Compressed Sensing. An interior point method implemented in MATLAB for the solution of real valued compressed sensing problems. The matrix-free implies that only matrix-vector products operations are allowed and the process is memoryless. The solver implements efficient preconditioning techniques for the fast solution of linear systems at every iteration. FCD: Flexible Coordinate Descent. This software only reproduces the experiments in paper Flexible Coordinate Descent. Recent & Upcoming Talks Variational Perspective on Local Graph Clustering Jul 6, 2018 6:00 PM 23rd International Symposium on Mathematical Programming PDF Numerical Optimization, Formulations, Serial and Parallel Algorithms for Machine Learning and Network Science Jun 20, 2018 3:00 PM Talk at the Department of Electrical and Computer Engineering at the Technical University of Crete PDF Parallel Methods for Convex Optimization Dec 14, 2017 10:00 AM Bay Area Scientific Computing Day 2017 PDF Communication Avoiding Optimization Algorithms May 22, 2017 12:00 AM University of California Berkeley Rise Lab Summer Retreat 2017 PDF Parallel Local Graph Clustering Sep 21, 2016 4:00 PM Workshop on Distributed and Parallel Data Analysis PDF Local graph clustering and optimization Jun 21, 2016 3:00 PM Workshop on Algorithms for Modern Massive Data Sets PDF Performance of First- and Second-Order Methods for Large-Scale Optimization Jul 12, 2015 2:45 PM 22nd International Symposium on Mathematical Programming PDF Newton-type Methods for Support Vector Machines and Signal Reconstruction Problems Apr 28, 2015 12:00 AM Oxford Numerical Analysis Group PDF Primal-Dual Newton Conjugate Gradients Method for Compressed Sensing Problems Mar 16, 2015 12:00 AM SIAM Conferecne on Computational Science and Engineering 2015 PDF Newton-type Methods for Big-Data Optimization Feb 25, 2015 12:00 AM Edinburgh Research Group in Optimization Seminar PDF Robust Block Coordinate Descent Dec 16, 2014 12:00 AM IMA Conference on the Mathematical Challenges of Big Data PDF Robust Block Coordinate Descent Dec 1, 2014 12:00 AM Edinburgh SIAM Student Chapter Student Conference PDF A Second-Order Method for Strongly Convex L1-regularisation Problems Sep 4, 2014 12:00 AM 4th IMA Conference on Numerical Linear Algebra and Optimisation PDF A Second-Order Method for Sparse Signal Reconstruction in Compressed Sensing Jul 13, 2014 12:00 AM 20th Conference of the International Federation of Operational Research Societies PDF Primal-Dual Newton Conjugate Gradients Method for L1-regularized Problems Jul 12, 2014 12:00 AM 12th EUROPT Workshop on Advances in Continuous Optimization PDF A Second-Order Method for Sparse Signal Reconstruction in Compressed Sensing May 19, 2014 12:00 AM SIAM Conference on Optimization 2014 PDF Second-Order Methods for l1-Regularized Problems in Machine Learning and Sparse Signal Reconstruction Oct 31, 2013 12:00 AM Computational Linear Algebra and Optimization for the Digital Economy PDF Second-Order Methods for Signal Reconstruction, Big-Data and Machine Learning Problems Jul 30, 2013 12:00 AM International Conference on Continuous Optimization 2013 PDF A Second-Order Method for Strongly Convex l1-Regularization Problems Jul 3, 2013 12:00 AM 26th European Conference On Operational Research PDF A Second-Order Method for Strongly Convex l1-Regularization Problems Jul 2, 2013 12:00 AM 11th EUROPT Workshop on Advances in Continuous Optimization PDF Second-Order Methods for Sparse Signal Reconstruction Jun 21, 2013 12:00 AM International Conference On Preconditioning Techniques For Scientific And Industrial Applications 2013 PDF Preconditioning Linear Systems in Interior Point Methods for Sparse Signal Reconstruction Sep 11, 2012 12:00 AM 3rd IMA Conference on Numerical Linear Algebra and Optimization PDF Matrix-free Interior Point Method for Compressed Sensing Problems Sep 4, 2012 12:00 AM OR54 Annual Conference PDF Matrix-free Interior Point Method for Compressed Sensing Problems Aug 19, 2012 12:00 AM 21st International Symposium on Mathematical Programming PDF Matrix-free Interior Point Method for Compressed Sensing Problems May 13, 2012 12:00 AM 3rd Conference on Optimization Methods and Software PDF Projects Robust, Efficient, And Localizable Machine Learning Primitives Data-Driven Discovery of Models (D3M). Project duration 2016-2020. In collaboration with M. Mahoney, Farbod Roosta-Khorasani and Alex Gittens. News (11/30/2018) Our paper Locality And Structure Aware Graph Node Embedding was awarded the Best Student Paper Award at WI2018. (08/09/2018) I will be a member of the Technical Program Committee at SC19. Students I am always looking for highly motivated and hard-working Masters and PhD students to work with. Send me an email if you would like to work with me. Chufeng Hu, MS, 2019 - Teaching Course: CS 370 Winter 2019 - Numerical Computation Contact kimon.fountoulakis at uwaterloo dot ca 200 University Avenue West, Waterloo, ON N2L3G1 Cite Copy Download diff --git a/src/data/compiled_bios/2816.txt b/src/data/compiled_bios/2816.txt new file mode 100644 index 0000000000..39339a5a5e --- /dev/null +++ b/src/data/compiled_bios/2816.txt @@ -0,0 +1 @@ +Mark Giesbrecht's Home Page Mark Giesbrecht Professor and Director David R. Cheriton School of Computer Science University of Waterloo, Canada cs.uwaterloo.ca/~mwg | mwg@uwaterloo.ca Home Page Research Teaching Grad Students Professional Administration CV Contact Researcher My research is in the area of Symbolic Mathematical Computation (more commonly known as Symbolic Computation or Computer Algebra). For me this is the study of computational methods applied to problems in algebra and number theory, and the use of algebraic techniques in algorithms and complexity. It also involves building computer algebra software, such as Maple and LinBox. For this work I was named an ACM Distinguished Scientist in 2013 and received an NSERC Synergy Award in 2003 for work with Maplesoft. Teacher I've taught more than twenty different courses, from first year through graduate-level. Unfortunately, right now I don't get much time to teach, but in Fall 2013 I taught two sections of Numerical Computation (CS370) for the first time. In Winter 2011 I taught computer algebra (CS 487) and taught CS 136 in Winter 2012. Please see my Teaching page for more information on my recent teaching. I have also been Director of the Undergraduate Studies (20022005), which includes curriculum design and implementation. Adminstrator I am the Director of the David R. Cheriton School of Computer Science. The Cheriton School is the largest Computer Science School in Canada, and one of the best in the world. It is also a wonderful place to be an educator and researcher, full of exceptional faculty members (more than 80), staff (more than 50), graduate students (more than 350), and undergraduate students (more than 3000). Please contact me if you want to be a part of Computer Science at Waterloo! Graduate Supervisor I've been lucky enough to supervise some exceptional graduate students. All have gone on to careers in academia and industry. See my Grad Students page for more details, and even better, follow through to their pages! If you are interested in pursuing graduate studies in symbolic mathematical computation, please send me an email. Organizer and Contributor I am also involved in the computer algebra research community as an organizer, editor and referee. I was Program Chair of the largest conference in computer algebra, the International Symposium on Symbolic and Algebraic Computation (ISSAC) in 2013, after serving on its PC many times. I'm also very pleased to be an organizer of a series of workshops on the emerging field of symbolic-numeric computing (at MSRI in 2010, Waterloo in 2011 and Beijing in 2015). I'm also an editor of the Jouranl of Symbolic Computation. Please see my Professional page for information on these activities. Last modified on Monday, 02 January 2017, at 14:23 hours. diff --git a/src/data/compiled_bios/2817.txt b/src/data/compiled_bios/2817.txt new file mode 100644 index 0000000000..632e777fce --- /dev/null +++ b/src/data/compiled_bios/2817.txt @@ -0,0 +1 @@ +Michael W. Godfrey @ UWaterloo Michael W. Godfrey @ UWaterloo [Contact information is at the bottom of the page.] Awards and honours 2014-2017 David R. Cheriton Faculty Fellow, Univ. of Waterloo 2016 ACM Senior Member 2001-2006 NSERC Assoc. Industrial Research Chair (Nortel Networks) Research Teaching Papers and a few talks SWAG: Our research group I am also a member of the SE and PLG research groups, but those websites are painfully out-of date Graduate supervision My little UML page Kent Beck's advice on paper writing My Google Scholar page CS846 Topics in Software Evolution and Empirical Studies I am teaching this course in Winter 2019 See this video for an overview of what to expect CS138 Introduction to Data Abstraction and Implementation I am teaching this course in Winter 2019 Course designer/co-ordinator since 2009 CS246 Software Abstraction and Specification I am teaching this course in Fall 2018 Course co-ordinator 2000-2004 CS445 Software Requirements and Specification (aka SE463 / CS645 / ECE451) I last taught this course in Fall 2010 JDuck (old but it was fun) Upcoming conferences etc. I'm on the PC for (or have some other interesting role) Conferences I was on the PC for, but are now over I will be co-organizer (along with Max Di Penta) of the Journal-First track at the 35th IEEE Intl. Conf. on Software Maintenance and Evolution (ICSME-19), to be held 30 Sept. to 4 Oct. in Cleveland, OH. I will also be serving on the PC for ICSME-19 41st ACM/IEEE Intl. Conf. on Software Engineering (ICSE-19) main track PC), to be held 2931 May 2019 in Montral, Qubec. 16th Intl. Conf. on Mining Software Repositories (MSR-19) to be held 2627 May 2019 in Montral, Qubec co-located with ICSE 2019. 2nd Intl. Wksp on Establishing a Community-Wide Infrastructure for Architecture-Based Software Engineering (ECASE), to be held in May 2019 in Montral, Qubec co-located with ICSE 2019. I've been on the editorial board of Journal of Software: Evolution and Process (formerly Software Maintenance and Evolution: Practice and Experience) since 2010. I sit / have sat on the following steering committees: IEEE Intl. Conference on Program Comprehension (ICPC) 2007-2010, 2017-present (SC chair) Intl. Workshop on Software Analytics (SWAN), 2014-present Seminar Series on Advanced Techniques & Tools for Software Evolution (SATToSE) 2012-2017 IEEE Intl. Conference on Software Maintenance and Evolution (ICSME) 2012-2015 IEEE Intl. Working Conference on Mining Software Repositories (MSR) 2009-2015 IEEE Intl. Working Conference on Source Code Analysis and Manipulation (SCAM) 2007-2010 ICSME (formerly ICSM): 2017, 2015, 2014, 2013, 2011 (also DC, again), 2010 (also TC), 2008, 2007, 2006 (also DC) ICPC: 2017, 2016, 2015, 2012 (PC), 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002 MSR: 2016, 2015, 2013, 2012, 2011, 2010, 2009 (PC), 2008 (PC), 2007, 2006 SCAM: 2017, 2015 (GC), 2014, 2010, 2009, 2008, 2007 (PC), 2006, 2005, 2004, 2003, 2002, 2001 SANER (formerly CSMR): 2018, 2017, 2016 (DC), 2015, 2008, 2005, 2004 WCRE (merged with SANER in 2015): 2010, 2009, 2008, 2007, 2006, 2005, 2004, 2003, 2002 IWSC: 2018, 2017 (PC), 2016, 2014, 2012, 2011, 2010, 2009 ICSE: 2015 (NIER track), 2013 (NIER track), 2010 (NIER track), 2001 (OC) ateM (now called SLE): 2007, 2006, 2004 (CO), 2003 (CO) IWPSE: 2015, 2009, 2007, 2005, 2004, 2003 (PC), 2002 CASCON: 2009, 2008, 2006 ECASE: 2017 ITSLE track at OOPSLA: 2016 EOSESE: 2015 DAPSE: 2013 RelEng: 2013 MODELS educators' symposium: 2011 RSSE: 2010, 2008 QTAP: 2008 (CO) LATE: 2008, 2007 ETX: 2007 Evol: 2008, 2007 FLOSS: 2007 SEAMS: 2007 ASE: 2006 ELISA: 2003 (CO) CoSET: 2000 PC = Program co-chair, GC = General chair, CO = Co-organizer, OC = Org. committe, TC = Tutorials chair, DC = PhD dissertation/symposium co-chair Service and external relations Trivia As of August 2016, I am chair of the CS Undergraduate Recruiting Committee (UGREC) From July 2013 to July 2015, I was the SCS Director of Student Engagement. Between 2006 and 2011 I served on the SCS Undergraduate Academic Plans Committee (UAPC, formerly known as the Curriculum Committee). Between 2009 and 2011, and for the 2012-13 academic year I served on the Software Engineering Curruculum Committee. My Erdos number is no worse than 3 (Gauss is a 4) Erdos Jeff Shallit Andrew Malton Me Anagrams of "Michael Godfrey": Feel my dog chair! [thx MCB] Fierce, godly ham Chiefly, mad ogre Hey! decimal frog Grey, modal chief The past During the 2011-12 academic year, I was on sabbatical at CWI in Amsterdam, with the RASCAL group (aka SEN-1, aka SWAT), led by Jurgen Vinju and Paul Klint. I learned a lot about programming, practical language design, DSLs, and the sheer joy of building something that works. I really enjoyed my time there, and the great people I got to work with, including Mark Hills, Davy Landman, Atze van der Ploeg, Tijs van der Storm, Jeroen van den Bos, Anastasia Izmaylova, and Vadim Zaytsev. During the 2003-04 academic year, I was on sabbatical at Sun Microsystems Research Lab in Mountain View, CA. I worked on two research projects involving static analysis tools, Jackpot and Salsa, and I got to work with a number of really sharp tool developers, including Michael Van De Vanter, Tom Ball, Tim Prinzing, and James Gosling (all Jackpot), as well as John Crupi, Deepak Alur, Yury Kamen, and Syed Ali (all Salsa). I was a faculty member at Cornell University between 1996 and 1998; I taught the software engineering course and some others, and I was the associate director of their M.Eng. program. I also did some work with the Predator / Jaguar object-relational database project, which led to a paper at SIGMOD-98. Before that, I was a graduate student and occasional full-time lecturer at the University of Toronto. Michael W. Godfrey PhD, Associate Professor David R. Cheriton School of Computer Science, University of Waterloo Waterloo, Ontario, N2L 3G1, CANADA Tel. +1 (519) 888-4567 ext. 34437, FAX +1 (519) 885-1208 Office: DC2340 email: URL: http://www.uwaterloo.ca/~migod diff --git a/src/data/compiled_bios/2818.txt b/src/data/compiled_bios/2818.txt new file mode 100644 index 0000000000..3138c021f0 --- /dev/null +++ b/src/data/compiled_bios/2818.txt @@ -0,0 +1 @@ +Ian Goldberg Ian Goldberg Professor and University Research Chair Cheriton School of Computer Science University of Waterloo 200 University Ave W Waterloo, Ontario, Canada N2L 3G1 Office: DC 3518 Phone: 519-888-4567 x36168 Research I am a faculty member in the Cryptography, Security, and Privacy (CrySP) group, in the Cybersecurity and Privacy Institute, and in the Centre for Applied Cryptographic Research (CACR). I am also an affiliate faculty member in the Systems and Networks group, and an affiliate member of the Institute for Quantum Computing. My main research interests are in the areas of security and privacy, and specifically in creating privacy enhancing technologies (PETs) for the Internet. I organize the CrySP Speaker Series on Privacy. Some of my current and planned research: Privacy-preserving Communications Networks Off-the-Record Messaging (project website) Censorship Resistance Private Information Retrieval Efficient Zero-Knowledge Proofs My publications Teaching Fall 2018 CS 458/658(Computer Security and Privacy) TTh 10:00-11:30RCH 305 TTh 1:00-2:30MC 2054 CS 858(Hot Topics in Privacy Enhancing Technologies) MW 1:30-3:30DC 2568 Fall 2017 CS 135(Designing Functional Programs) TTh 8:30-10:00MC 2017 Fall 2015 CS 858(Hot Topics in Privacy Enhancing Technologies) TTh 10:00-12:00DC 3313 CS 458/658(Computer Security and Privacy) TTh 1:00-2:30RCH 207 Winter 2014 CS 458/658(Computer Security and Privacy) TTh 8:30-10:00MC 2038 TTh 11:30-1:00MC 2034 Spring 2013 CS 458/658(Computer Security and Privacy) TTh 8:30-10:00MC 1056 CS 858(Hot Topics in Privacy Enhancing Technologies) TTh 10:00-12:00DC 3313 Fall 2012 CS 135(Designing Functional Programs) TTh 10:00-11:30MC 4059 Winter 2012 CS 458/658(Computer Security and Privacy) TTh 8:30-10:00MC 4041 TTh 10:00-11:30MC 4041 Fall 2011 CS 135(Designing Functional Programs) TTh 8:30-10:00MC 1056 CS 858(Hot Topics in Privacy Enhancing Technologies) TTh 10:00-12:00MC 2036 Winter 2011 CS 458/658(Computer Security and Privacy) TTh 8:30-10:00MC 4042 CS 858(Hot Topics in Privacy Enhancing Technologies) TTh 10:00-12:00MC 2036A Fall 2010 CS 135(Designing Functional Programs) TTh 10:00-11:30RCH 211 Winter 2010 CS 458/658(Computer Security and Privacy) TTh 8:30-10:00DWE 3516 Fall 2009 CS 135(Designing Functional Programs) TTh 8:30-10:00MC 2054 CS 858(Hot Topics in Privacy Enhancing Technologies) TTh 10:00-12:00MC 2036 Winter 2009 CS 135(Designing Functional Programs) TTh 8:30-10:00MC 4059 TTh 11:30-1:00MC 2054 Fall 2008 CS 135(Designing Functional Programs) TTh 8:30-10:00MC 4045 CS 458/658(Computer Security and Privacy) TTh 1:00-2:30RCH 308 Fall 2007 CS 489/698(Computer Security and Privacy) TTh 10:00-11:30MC 4042 CS 854(Hot Topics in Privacy Enhancing Technologies) TTh 1:00-2:30DC 3313 Fall 2006 CS 456/656(Computer Networks) TTh 8:30-10:00MC 4063 TTh 2:30-4:00MC 2038 Advising I am currently seeking interested graduate students to start in September 2020 or later. See the CrySP website if you are interested. Note: Please do not email me directly regarding applications. I get too many of these messages, and I am unable to respond to them. I also have an open position for a postdoctoral researcher. Current PhD Students Sajin Sasy (with Sergey Gorbunov) Justin Tracey Nik Unger Current MMath Students Steven Engler Stan Gurtler Kritika Iyer Chelsea Komlo Miti Mazmudar Brittany Postnikoff Current Undergraduate Research Assistants Mike Ross Alumni Cecylia Bocovich (PDF, January 2019) Stefanie Roos (PDF, August 2018) Cecylia Bocovich, Recipes for Resistance: A Censorship Circumvention Cookbook (Ph.D., August 2018) Chris McKnight, StyleCounsel: Seeing the (Random) Forest for the Trees in Adversarial Code Stylometry (M.Math, January 2018) Justin Tracey, Building a Better Tor Experimentation Platform from the Magic of Dynamic ELFs (M.Math, October 2017) Tao Wang, Website Fingerprinting: Attacks and Defenses (Ph.D., January 2016) Tariq Elahi, Towards more Effective Censorship Resistance Systems (Ph.D., September 2015) Nik Unger, Deniable Key Exchanges for Secure Messaging (M.Math, May 2015) Sukhbir Singh, Large-Scale Emulation of Anonymous Communication Networks (M.Math, August 2014, with David Taylor) Casey Devet, The Best of Both Worlds: Combining Information-Theoretic and Computational Private Information Retrieval for Communication Efficiency (M.Math, August 2014) Ryan Henry, Efficient Zero-Knowledge Proofs and Applications (Ph.D., August 2014) Yizhou (Andy) Huang, Outsourced Private Information Retrieval with Pricing and Access Control (M.Math, May 2013) Mashael AlSabah, Network Performance Improvements for Low-Latency Anonymity Networks (Ph.D., April 2013) Hooman Mohajeri Moghaddam, SkypeMorph: Protocol Obfuscation for Censorship Resistance (M.Math, January 2013) Kevin Bauer (PDF, April 2012) Rob Smits, BridgeSPA: A Single Packet Authorization System for Tor Bridges (M.Math, January 2012) Femi Olumofin, Practical Private Information Retrieval (Ph.D., August 2011) Ryan Henry, Nymbler: Privacy-enhanced Protection from Abuses of Anonymity (M.Math, January 2011) Can Tang, An Improved Algorithm for Tor Circuit Scheduling (M.Math, July 2010) Aniket Kate, Distributed Key Generation and Its Applications (Ph.D., June 2010) Joel Reardon, Improving Tor using a TCP-over-DTLS Tunnel (M.Math, September 2008) Xiaoting Sun, Anonymous, Secure and Efficient Vehicular Communications (M.Math, October 2007, with Pin-Han Ho) About me Curriculum Vitae Academic genealogy Ian Goldberg, iang@cs.uwaterloo.ca PGP fingerprint: 4096R/505DA62B A792 EF32 7B5B DDF9 3FAC 7E6F 4675 64B7 505D A62B (full key) Last updated 2019-02-13 diff --git a/src/data/compiled_bios/2819.txt b/src/data/compiled_bios/2819.txt new file mode 100644 index 0000000000..53901b6822 --- /dev/null +++ b/src/data/compiled_bios/2819.txt @@ -0,0 +1 @@ +Xi He ABOUT ME PROJECTS PUBLICATIONS INTERESTS Hi, I am Xi. I graduated from National University of Singapore with Double Degree of Applied Mathematics and Computer Science. I currently completed my PhD program in Computer Science with Prof. Ashwin Machanavajjhala. I will join the Cheriton School of Computer Science at University of Waterloo as an assistant professor (my new site ). Contact Information Duke University Dept. of Computer Science LSRC Building D101 308 Research Drive, Campus Box 90129 Durham, NC 27708 P: (919) 660-4007 Projects Back to Top Blowfish Privacy: Tuning Privacy-Utility Trade-offs using Policies Collaborators: Ashwin Machanavajjhala and Bolin Ding This research aims to provide ways for trading-off the privacy of individuals in a statistical database for the utility of downstream analysis of data. We present a novel class of privacy definitions - Blowfish privacy, which offers a rich interface to specify this trade-off. We show significant utility improvements for k-means clustering, releasing cumulative histograms and answering range queries with mechanisms under Blowfish privacy in comparison to their differentially private counterparts. (more details) Differentially Private Trajectory Synthesis Collaborators: Ashwin Machanavajjhala, Divesh Srivastava, Cecilia M. Procopiuc, Graham Cormode This research considers methods to publish locations traces with differential privacy guarantee. Our approach involves modeling the location traces as top-k mobility patterns for a bounded sensitivity, and sampling location traces from a noisy semi-Markov model learned on the top-k patterns. We present pruning strategies and efficient algorithms to post-process the noisy model which has an unbalanced hierarchical structure and to synthesize locations traces closer to the real datasets.(more details) Coloring Privacy This project has studied privacy in mobile-social system from another angle, visualization. Visualization creates images, graphics or animations to enhance people's understanding of information....(more details) GPU Computing Driven by the high computation power and affordability of Graphics Processing Units, known as GPU, we would like to explore the new role of GPU as a more general purpose processor for scientific and engineering applications.... (more details) Publications Back to Top Ashwin Machanavajjhala, Xi He, "Provably privacy for mobility data", Springer Handbook on Mobile Data Privacy, 2017 Xi He, Ashwin Machanavajjhala, Cheryl Flynn, Divesh Srivastava, "composing differential privacy and secure computation: A case study on scaling private record linkage", CCS 2017 link Ashwin Machanavajjhala, Xi He, Michael Hay, "Differential privacy in the wild: a tutorial on current practices & open challenges", SIGMOD 2017 link Xi He, Nisarg Raval, Ashwin Machanavajjhala, "A Demonstration of VisDPT: visual exploration of differentially private trajectories", VLDB 2016 (BEST DEMO AWARD) pdf Ashwin Machanavajjhala, Xi He, Michael Hay, "Differential privacy in the wild: a tutorial on current practices & open challenges", VLDB 2016 link Xi He, Graham Cormode, Ashwin Machanavajjhala, Cecilia M. Procopiuc, Divesh Srivastava, "DPT: Differentially private trajectory synthesis using hierarchical reference systems", VLDB 2015 pdf code Xi He, Ashwin Machanavajjhala, Bolin Ding, "Blowfish Privacy: Tuning Privacy-Utility Trade-offs using Policies",SIGMOD 2014 pdf Y.C. Tay, Xuanran Zong, Xi He, "An Equation-Based Heap Sizing Rule", Performance Evaluation 70, 11 (Nov. 2013), 948964. Interests Back to Top I like dancing, martial arts, basketball, swimming, web designs, movies... diff --git a/src/data/compiled_bios/282.txt b/src/data/compiled_bios/282.txt new file mode 100644 index 0000000000..99ab721e19 --- /dev/null +++ b/src/data/compiled_bios/282.txt @@ -0,0 +1 @@ +I am an associate professor in the Computer Science Department at Georgetown University. I received the BSE degree in computer science from Tsinghua University in 2006, and the MSE and PhD degrees in computer science both from the University of Pennsylvania in 2009 and 2012 respectively. My research interests center on the use of data-centric and formal techniques towards ensuring safe and secure distributed systems. I am also interested in distributed data management and the application of database technologies to networked systems. Please refer to my curricum vitae and research statement for the details of my research. I am looking for motivated system students with strong programming and writing skills. If you are interested in researches in distributed systems, please contact me via email. diff --git a/src/data/compiled_bios/2820.txt b/src/data/compiled_bios/2820.txt new file mode 100644 index 0000000000..b4e4247f91 --- /dev/null +++ b/src/data/compiled_bios/2820.txt @@ -0,0 +1 @@ +Urs Hengartner Urs Hengartner Associate Professor David R. Cheriton School of Computer Science University of Waterloo Waterloo, Ontario, Canada N2L 3G1 Office: DC 3526 Phone: 519-888-4567 x36163 Email: firstname.lastname@uwaterloo.ca Menu: Home Publications Students Teaching Professional Activities Software My research interests are in information privacy and in computer and networks security with a focus on security and privacy challenges that arise in the context of smartphones and mobile applications. My students and I develop privacy-preserving technologies for location-based services and mobile applications to protect users from having to share their personal information with service and application providers. We also study implicit authentication for smartphones, where a smartphone continuously authenticates its owner based on the owner's behaviour without requiring deliberate actions by the owner. I have also worked on privacy-preserving location verification technologies, genomic privacy, and end-to-end voter-verifiable voting systems. I am a member of the Cryptography, Security, and Privacy (CrySP) research group, the Centre for Applied Cryptographic Research and the Systems and Networking Group. I completed my Ph.D. in Computer Science at Carnegie Mellon in August 2005. Prior to that, I received an M.S. in Computer Science from Carnegie Mellon and a Dipl. Informatik-Ing. ETH from ETH Zrich (Curriculum Vitae). Original design by Andreas Viklund diff --git a/src/data/compiled_bios/2821.txt b/src/data/compiled_bios/2821.txt new file mode 100644 index 0000000000..e337b26e12 --- /dev/null +++ b/src/data/compiled_bios/2821.txt @@ -0,0 +1 @@ +Home Page for Jo Ho University of Waterloo School of Computer Science MenuhomeresearchpublicationsteachingbiographyQuick Links BayesACTSPUDDCOACHTHEMIS.COGCHILExternal LinksACTAGEWELLAAACIATSLPervasive HealthaispaceDylan HoeyCatherine HoeyThis site is valid XHTML 1.0 Strict Jo Ho I am an Associate Professor in the David R. Cheriton School of Computer Science at the University of Waterloo and leader of the Computational Health Informatics Lab (CHIL). I am a Faculty Affiliate at the Vector Institute. See my Google Scholar profile, my ACM Digital Library Profile Page or my ResearchGate Profile. Recent News 2019-01-07: Im teaching CS 486: Introduction to Artificial Intelligence this term!2018-12-17: Visited Microsoft Research in Montreal to give a talk and discuss research with Luke Stark. Watch the video on youtube.2018-11-10: Congratulations to Yuwei Jiao for completing her M.Math thesis!2018-11-05: I gave a talk at the Vector Institute on affective computing - watch the talk video and see a shorter interview video. show news Most Popular Papers trending up: Patricia Kan, Rajibul Huq, Jesse Hoey, Robby Goetschalckx and Alex Mihailidis The development of an adaptive upper-limb stroke rehabilitation robotic system. Journal of NeuroEngineering and Rehabilitation, 8, 33, 2011 (bibtex) Aarti Malhotra, Jesse Hoey, Alexandra Konig and Sarel van Vuuren A study of elderly people's emotional understanding of prompts given by Virtual Humans. Proc. International Conference on Pervasive Computing Technologies for Healthcare, Cancun, Mexico, 2016 (bibtex) Luyuan Lin, Stephen Czarnuch, Aarti Malhotra, Lifei Yu, Tobias Schroeder and Jesse Hoey Affectively Aligned Cognitive Assistance using Bayesian Affect Control Theory. Proc. of International Workconference on Ambient Assisted Living (IWAAL), Belfast, UK, 2014 (bibtex) all time most downloaded from this site: Patricia Kan, Rajibul Huq, Jesse Hoey, Robby Goetschalckx and Alex Mihailidis The development of an adaptive upper-limb stroke rehabilitation robotic system. Journal of NeuroEngineering and Rehabilitation, 8, 33, 2011 (bibtex) full list of publications is here Positions Available I am looking for highly motivated graduate students. Please check program requirements to make sure you meet the School's admission requirements before contacting me. I am looking for postdoctoral research assistants to work on DIY Smart-Home and ACT@HOME See more details People (students and postdocs) current: David Choi (MMath, 2016- )Joshua Jung (PhD, 2016- )Alexander Sachs (MMath, 2016- )Ronghao Yang (MMath, 2017- )Rahul Iyer (MMath, 2017- )Moojan Ghafurian (Postdoc, 2018- )Alex Yun (MMath, 2018- )Neda Paryab (PhD, 2018- )Nalin de Zoysa (MMath, 2018- )Quentin Roy (Postdoc, 2018- )Aarti Malhotra (PhD, 2018- )Zahra Sheikhbahaee (Postdoc, 2018- )Kyle Tilbury (PhD, 2019- )alumni: Luyuan Lin (MMath, 2012-2014, thesis)Xiao Yang (MMath, 2012-2014, thesis)Marek Grzes (Postdoc, 2010-2015)Robby Goetschalckx (Postdoc, 2011-2012)Rhiannon Rose (MMath, 2012-2014)Shehroz Khan (PhD, 2010-2016, thesis)Aarti Malhotra (MMath, 2013-2016, thesis)Haiyu Zhen (MMath, 2014-2016)Zola Xiang (MMath, 2015-2016)Dmitry Pyryeskin (MMath, 2010-2012, thesis)George Zhu (MMath, 2011-2012, thesis)Veronika Koltunova (MMath, 2011-2012, thesis)Michelle Karg (Postdoc, 2011-2013)Josh Jung (MMath, 2014-2016, thesis)Abhinav Dhall (Postdoc, 2016-2016)Jyoti Joshi (Postdoc, 2016-2017)Zhengkun Shang (MMath, 2015-2017, thesis)Dan Wang (MMath, 2015-2017, thesis)Sean Cho (MMath, 2015-2017)Deepak Rishi (MMath, 2015-2017, thesis)Areej Alhothali (PhD, 2012-2017, thesis)Yuwei Jiao (MMath, 2016-2018, thesis)Ivan Kobyzev (Postdoc, 2018-2018)Nolan Shaw (MMath, 2017-2018) Miscellaneous Current Internet Time: @181.beats Current time on Baker Island (last time on earth): Fri Feb 15 15:20:44 2019 I have 200 Twitter Followers and 5,211 citations on Google Scholar, which means my current Kardashian index (K-index) is 0.299: I'm not a Science Kardashian and I'm undervalued!...Help me!: Follow @drjessehoey Read my analysis of Bedevere's logic from the witch scene in Monty Python's Holy Grail. Read my analysis of Disney's "Steamboat Willie" using the Ortony-Clore-Collins model of emotions A simple python script to find out how many actual citations each of your papers has (with self-citations by any author removed). Use with care. Get it here. A really irritating (but harmless) javascript I wrote a long time ago: (requires a popup window). Going to Europe? Want some help planning your route? Try this tool. Who is the greatest hockey player of all time? Quotes "It's the human element and long may it live." -- Doc Emrick, May 13 2018 commentating a bad high sticking call on Oshie vs. Hedman. "C'est parce que les agents ne savent jamais compltement ce qu'ils font que ce qu'ils font a plus de sens qu'ils ne le savent" -- Pierre Bourdieu, Le Sens Pratique, Les Editions de Minuit, p116, 1980. ("It is because agents never know completely what they are doing that what they do has more sense than they know" The Logic of Practice, Polity Press, p69, 1990). "In some ways we are emotional lizards" -- Joseph LeDoux, The Emotional Brain, 1996. "Nay, it is chiefly from this regard to the sentiments of mankind, that we pursue riches and avoid poverty." -- Adam Smith, The Theory of Moral Sentiments, 1759. "Let's get this Boeing going!" -- Stewardess on Westjet flight 556 from Calgary, Oct 24, 2015 "You must sleep some time between lunch and dinner, and no half-way measures. Take off your clothes and get into bed. That's what I always do. " -- Winston Churchill, 1946. Contact Email: Phone: +1.519.888.4567x37744 Fax: +1.519.885.1208 URL:http://www.cs.uwaterloo.ca/~jhoey/ Office: DC3613 Lab (CHIL): DC2584 Twitter: @drjessehoey Address: David R. Cheriton School of Computer Science University of Waterloo 200 University Avenue West Waterloo, Ontario N2L 3G1 CANADA Jesse Hoey, School of Computer Science, University of Waterloo. diff --git a/src/data/compiled_bios/2822.txt b/src/data/compiled_bios/2822.txt new file mode 100644 index 0000000000..73702b667c --- /dev/null +++ b/src/data/compiled_bios/2822.txt @@ -0,0 +1 @@ +Ihab Francis Ilyas Ihab Francis Ilyas Professor NSERC Thomson Reuters Research Chair in Data Quality Cheriton School of Computer Science, University of Waterloo 200 University Ave. West Waterloo, Ontario, Canada N2L 3G1 Davis Centre: Office 3348 1(519)888-4567 ext. 33145 Short Biography [Awards] [Research] [Teaching] [Selected Publications] [Professional Activities] [Important Dates] [People in CS] [Campus map][Directions to campus] Software Release: HoloClean is now available on Github under Apache License. Blog Post: How to Clean Noisy and Erroneous Big Data Using Machine Learning (Tamr Blog) Blog Post: Data Cleaning is a Machine Learning Problem that Needs Data Systems Help! (ACM SIGMOD Blog) Blog Post: Three Enablers for ML in Data Unification: Trust, Legacy and Scale (O'Rielly Media) Blog Post. HoloClean, a Machine Learning Approach to Data Cleaning Book: Probabilistic Ranking Techniques in Relational Databases (Synthesis Lectures on Data Management) March 2011, 71 pages, (doi:10.2200/S00344ED1V01Y201103DTM014 Ihab F. Ilyas and Mohamed A. Soliman Foundation and Trends Paper: Trends in Cleaning Relational Data: Consistency and Deduplication (Author Copy) November 2015, Foundations and Trends in Databases: Vol. 5: No. 4, pp 281-393 Ihab F. Ilyas and Xu Chu RESEARCH Research Interests Data Systems Group Query Processing and Optimization; Ranking and Top-k Queries; Probabilistic and Uncertain Databases; Data Quality; and Information Extraction Students and Postdoctoral Fellow Current: Mina Farid (PhD) Hemant Saxena (PhD) Alireza Heydari (PhD) Chang Ge (PhD) Georgios Michalopoulos (PhD) Omar Attia (PhD) Marian Boktor (PhD) Aoqian Zhang (Postdoc) Michael Azmy (Masters) Ahmed Aljimiai (Masters) Graduated: Alexandra Roatis (Postdoc, 2016) Lanjun Wang (Postdoc, 2017) - Huawei Xu Chu (PhD, 2017) - Assistant Professor, Georgia Institute of Technology Mohamed A. Soliman (PhD 2010) - Greenplum Amr El-Helw (PhD 2012) - Greenplum George Beskales (PhD 2012) - Tamr Inc. Jeffrey Pound (co-supervised by Grant Weddell) (PhD 2013) - SAP Nan Jiang (Masters 2009) Hiren Patel (Masters 2010) - Microsoft Mina Saleeb (Masters 2012) - Oracle Mina Farid (Masters 2012) - Grad School Artur Galiullin (Masters 2013) Hella Hoffmann (Masters 2015) - Thomson Reuters John Morcos (Masters 2015) - Microsoft Anam Shadab (Masters 2018) Jian Li (Masters) - Google TEACHING CS448/648 - Winter 2019 CS 848- Winter 2019 CAREER HIGHLIGHTS NSERC-Thomson Reuters Chair of Data Quality, 2017 ACM SIGMOD vice-chair, 2017 VLDB Endowment Board of Trustees, 2016 Google Faculty Award, 2014 ACM Distinguished Scientist, 2014 NSERC Discovery Accelerator, 2014-2018, NSERC Co-founder, Tamr Inc, 2013 Cheriton Faculty Fellowship, 2013-2016, University of Waterloo ACM SIGMOD 2015 Best Demo Award Ontario Early Researcher Award, 2008, Government of Ontario IBM CAS Faculty Fellow, 2006-2010, IBM Taha Hussein Medal for top 10 high school students in the nation, 1990, Ministry of Education, Egypt SELECTED PUBLICATIONS [Complete List] [DBLP] Semi-supervised Clustering for De-duplication (arXiv) Shrinu Kushagra, Shai Ben-David and Ihab F. Ilyas In AISTATS 2019, Okinawa, Japan (to appear) APEx: Accuracy-Aware Differentially Private Data Exploration (arXiv) Chang Ge, Xi He, Ihab F. Ilyas and Ashwin Machanavajjhala In SIGMOD 2019, Amsterdam, The Netherlands (to appear) A Formal Framework For Probabilistic Unclean Databases (arXiv) Christopher De Sa, Ihab F. Ilyas, Benny Kimelfeld, Christopher R and Theodoros Rekatsinas In ICDT 2019 Lisbon, Portugal (to appear) A Framework of Clustering Selection for De-duplication Shrinu Kushagra, Hemant Saxena, Shai Ben-David and Ihab F. Ilyas In ICDE 2019 Macau, China (to appear) Unsupervised String Transformation Learning for Entity Consolidation Dong Deng, Guoliang Li, Wenbo Tao, Ziawasch Abedjan, Ahmed Elmagarmid, Ihab F. Ilyas, Samuel Madden, Mourad Ouzzani, Michael Stonebraker, and Nan Tang In ICDE 2019 Macau, China (to appear) Data Integration: The Current Status and the Way Forward Michael Stonebraker, Ihab F. Ilyas IEEE Data Eng. Bull. 41(2): 3-9 (2018) Seeping Semantics: Linking Datasets using Word Embeddings for Data Discovery Raul Castro Fernandez*, Essam Mansour, Abdulhakim Qahtan, Ahmed Elmagarmid, Ihab F. Ilyas, Samuel Madden, Mourad Ouzzani, Michael Stonebraker, Nan Tang In ICDE 2018, Paris, France HoloClean: Holistic Data Repairs with Probabilistic Inference Theodoros Rekatsinas, Xu Chu, Ihab F. Ilyas, Christopher R CoRR abs/1702.00820 (2017) In VLDB 2017, Munich, Germany - PVLDB 10(11): 1190-1201 (2017) The Data Civilizer System Dong Deng, Raul Castro Fernandez, Ziawasch Abedjan, Sibo Wang, Michael Stonebraker, Ahmed K. Elmagarmid, Ihab F. Ilyas, Samuel Madden, Mourad Ouzzani, Nan Tang: In CIDR 2017, Chaminade, California Effective Data Cleaning with Continuous Evaluation Ihab F. Ilyas IEEE Data Engineering Bulletin, 39(2): 38-46 (2016) Distributed Data Deduplication Xu Chu, Ihab F. Ilyas, and Paraschos Koutris In VLDB 2016, Delhi, India - PVLDB 9(11): 864-875 (2016) Detecting Data Errors: Where are we and what needs to be done? Ziawasch Abedjan, Xu Chu, Dong Deng, Raul Castro Fernandez, Ihab F. Ilyas, Mourad Ouzzani, Paolo Papotti, Michael Stonebraker, and Nan Tang In VLDB 2016 - PVLDB 9(12): 993-1004(2016) DataXFormer: A Robust Transformation Discovery System Ziawasch Abedjan, John Morcos, Ihab F. Ilyas, Mourad Ouzzani, Paolo Papotti, and Michael Stonebraker In ICDE 2016: 1134-1145 KATARA: A Data Cleaning System Powered by Knowledge Bases and Crowdsourcing Xu Chu, John Morcos, Ihab F. Ilyas, Mourad Ouzzani, Paolo Papotti, Nan Tang, and Yin Ye In the 2015 ACM SIGMOD, Melbourne, Australia, pp. 1247-1261 BigDansing: A System for Big Data Cleansing Zuhair Khayyat, Ihab F. Ilyas, Alekh Jindal, Samuel Madden, Mourad Ouzzani, Paolo Papotti, Jorge Quian-Ruiz, Nan Tang, and Si Yin In the 2015 ACM SIGMOD, Melbourne, Australia, pp. 1215-1230 Dataxformer: Leveraging the Web for Semantic Transformations Ziawasch Abedjan, John Morcos, Michael N. Gubanov, Ihab F. Ilyas, Michael Stonebraker, Paolo Papotti, Mourad Ouzzani In CIDR 2015, Asilomar, California Descriptive and Prescriptive Data Cleaning Anup Chalamalla, Ihab F. Ilyas, Mourad Ouzzani, and Paolo Papotti In the 2014 ACM SIGMOD, Snowbird, UT, USA, pp. 445-456 Discovering Denial Constraints Xu Chu, Ihab F. Ilyas, and Paolo Papotti In VLDB 2014, Hangzhou, China - PVLDB 6(13): 1498-1509 (2013) Sampling from Repairs of Conditional Functional Dependency Violations George Beskales, Ihab F. Ilyas, Lukasz Golab, and Artur Galiullin In the VLDB Journal, Volume 23, Number 1, February 2014, pp. 103-128 NADEEF: A Commodity Data Cleaning System Michele Dallachiesa, Amr Ebaid, Ahmed Eldawy, Ahmed Elmagarmid, Ihab F. Ilyas, Mourad Ouzzani ,and Nan Tang In the 2013 ACM SIGMOD, New York, New York, pp. 541-552 source code On the Relative Trust between Inconsistent Data and Inaccurate Constraints George Beskales, Ihab F. Ilyas, Lukasz Golab, and Artur Galiullin In ICDE 2013, Brisbane, Australia, pp. 541-552 Holistic Data Cleaning: Putting Violations into Context Xu Chu, Ihab F. Ilyas, and Paolo Papotti In ICDE 2013, Brisbane, Australia, pp. 458-469 Data Curation at Scale: The Data Tamer System Michael Stonebraker, Daniel Bruckner, Ihab F. Ilyas, George Beskales, Mitch Cherniack, Stan Zdonik, Alexander Pagan, Shan Xu In CIDR 2013, Asilomar, California Interpreting Keyword Queries over Web Knowledge Bases Jeffrey Pound, Alexander K. Hudek, Ihab F. Ilyas, and Grant E. Weddell In CIKM 2012, Maui, USA, pp. 305-314 Ranking with Uncertain Scoring Functions: Semantics and Sensitivity Measures Mohamed A. Soliman, Ihab F. Ilyas, Davide Martinenghi and Marco Tagliasacchi In the 2011 ACM SIGMOD, Athens, Greece, pp. 805-816 Guided Data Repair Mohamed Yakout, Ahmed K. Elmagarmid , Jennifer Neville , Mourad Ouzzani and Ihab F. Ilyas In VLDB, 2011, Seattle, Washington - PVLDB 4(5): 297-289 (2011) Sampling the Repairs of Functional Dependency Violations under Hard Constraints George Beskales, Ihab F. Ilyas, and Lukasz Golab In VLDB 2010, Singapore - PVLDB 3(1): 197-207 (2010) Expressive and Flexible Access to Web-Extracted Data: A Keyword-based Structured Query Language Jeffrey Pound, Ihab F. Ilyas, and Grant Weddell in the 2010 ACM SIGMOD, Indianapolis, Indiana, pp. 423-434 Supporting Ranking Queries on Uncertain and Incomplete Data Mohamed A. Soliman, Ihab F. Ilyas, and Shalev Ben-David In the VLDB Journal, Volume 19, Number 4, 2010, pp. 477 - 501 StatAdvisor: Recommending Statistical Views Amr El-Helw, Ihab F. Ilyas and Calisto Zuzarte In VLDB 2009, Lyon, France - PVLDB 2(2): 1306-1317 (2009) Modeling and Querying Possible Repairs in Duplicate Detection George Beskales, Mohamed A. Soliman, Ihab F. Ilyas and Shai Ben-David In VLDB 2009, Lyon, France - PVLDB 2(1): 598-609 (2009) Creating Competitive Products Qian Wan, Raymond Chi-Wing Wong, Ihab F. Ilyas, M. Tamer Ozsu and Yu Peng In VLDB 2009, Lyon, France - PVLDB 2(1): 898-909 (2009) Ranking with Uncertain Scores Mohamed A. Soliman and Ihab F. Ilyas In ICDE 2009, Shanghai, China, pp. 317-328 PSALM: Cardinality Estimation in the Presence of Fine-grained Access Controls Huaxin Zhang, Ihab F. Ilyas, and Kenneth Salem In ICDE 2009, Shanghai, China, pp. 505-516 Probabilistic Top-k and Ranking-Aggregate Queries Mohamed A. Soliman, Ihab F. Ilyas, and Kevin C.-C. Chang In TODS, Volume 33, Issue 3, September 2008, Article 13 A Survey of Top-k Query Processing Techniques in Relational Database Systems Ihab F. Ilyas, George Beskales, and Mohamed A. Soliman In the ACM Computing Surveys, Volume 40, Issue 4, October 2008, Article 11 Top-k Query Processing in Uncertain Databases Mohamed A. Soliman, Ihab F. Ilyas, and Kevin C.-C. Chang In ICDE 2007, Istanbul, Turkey, pp. 896-905 Collecting and Maintaining Just-in-Time Statistics Amr El-Helw, Ihab F. Ilyas, Wing Lau, Volker Markl, Calisto Zuzarte In ICDE 2007, Istanbul, Turkey, pp. 516-525 Adaptive Rank-aware Query Optimization in Relational Databases Ihab F. Ilyas, Walid G. Aref, Ahmed K. Elmagarmid, Hicham Elmongui, Rahul Shah and Jeffrey S. Vitter In TODS, Volume 31, Issue 4, December 2006, pp. 1257 - 1304 Supporting Ad-hoc Ranking Aggregates Chengkai Li, Kevin.C.-C. Chang, and Ihab F. Ilyas In the 2006 ACM SIGMOD, Chicago, Illinois, pp. 61-72 RankSQL: Query Algebra and Optimization for Relational Top-k Queries Chengkai Li, Kevin. C.-C. Chang, Ihab F. Ilyas, and Sumin Song In the 2005 ACM SIGMOD, Baltimore, Maryland, pp. 131-142 Rank-aware Query Optimization Ihab F. Ilyas, Rahul Shah, Walid G. Aref, Jeffrey S. Vitter, and Ahmed K. Elmagarmid In the 2004 ACM SIGMOD, Paris, France, pp. 203-214 CORDS: Automatic Discovery of Correlations and Soft Functional Dependencies Ihab F. Ilyas, Volker Markl, Peter Haas, Paul Brown, and Ashraf Aboulnaga In the 2004 ACM SIGMOD, Paris, France, pp. 647-658 Supporting Top-k Join Queries in Relational Databases Ihab F. Ilyas, Walid G. Aref, and Ahmed K. Elmagarmid In VLDB 2003, Berlin, Germany, pp. 754-765 (selected among best papers for the VLDB Journal Volume 13, Number 3 (207-221), 2004 SELECTED PROFESSIONAL ACTIVITIES Editorial Associate Editor, ACM Transactions on Database Systems (TODS) Associate Editor, Foundations and Trends in Databases Associate Editor Proceedings of the VLDB Endowment, Volume 9, 2015-2016 Guest Editor for the International Journal on Distributed and Parallel Databases, Special Issue on Ranking in Databases Chairing/Steering Area Chair, SIGMOD 2013, SIGMOD 2016 Panel co-chair, VLDB 2013 Area Chair of ICDE 2010 Steering Committee of DBRank Program Co-chair of DBRank 2008: In Conjunction with ICDE 2008 Program Co-chair of DBRank 2007: In Conjunction with ICDE 2007 Co-chair of the SIGMOD 2008 New Faculty Symposium Co-chair of the SIGMOD 2007 New Faculty Symposium Sample Program Committee Membership ICDE (2006, 2007, 2008, 2009, 2011, 2013, 2015) SIGMOD (2006, 2007, 2011, 2013, 2014, 2017,2019) VLDB (2007, 2008, 2009, 2011, 2012, 2014,2017) EDBT (2010, 2014) diff --git a/src/data/compiled_bios/2823.txt b/src/data/compiled_bios/2823.txt new file mode 100644 index 0000000000..0ba1cd5f74 --- /dev/null +++ b/src/data/compiled_bios/2823.txt @@ -0,0 +1 @@ +Gautam Kamath's Homepage Gautam Kamath Office: Calvin Lab, Room 318 Cell: 657-c0mpsci (657-206-7724) Email: ?@csail.mit.edu, but replace ? with the first letter of my first name Links to: CV (as of April 2018); Google Scholar; DBLP; arXiv; GitHub; Twitter. Feel free to send me comments anonymously here. About Me I am a Microsoft Research Fellow at the Simons Institute for the Theory of Computing for the Fall 2018 semester program on Foundations of Data Science and the Spring 2019 semester program on Data Privacy: Foundations and Applications. I will be joining the University of Waterloo's Cheriton School of Computer Science in July 2019. I'm mostly interested in principled tools for statistical data science, with a focus on settings which are common in settings of modern data analysis (high-dimensions, robustness, and privacy). I completed my Ph.D. at MIT, affiliated with the Theory of Computing group in CSAIL. I was very fortunate to be advised by Costis Daskalakis. I was hanging around UC Berkeley in Fall 2015, during the Simons Institute program on Economics and Computation. Before MIT, I spent four wonderful years at Cornell University, graduating in May 2012 with a degree in Computer Science and Electrical and Computer Engineering. At Cornell, I was incredibly lucky to have the opportunity to work with Bobby Kleinberg. I also spent Summer 2012 working as a Software Engineering Intern on the Platform team for Palantir Gotham, a platform developed by Palantir Technologies. I really enjoy giving talks and communicating my work! Please don't hesitate to ask if you'd like to hear about it. News (2/15/19) I will be giving a talk at the Simons Institute workshop on Data Privacy: Foundations and Applications on March 8, 2019. (2/10/19) I will be giving a talk at ITA 2019 on February 14, 2019. (2/8/19) One paper (The Structure of Optimal Private Tests for Simple Hypotheses) accepted to STOC 2019. (1/29/19) I gave a talk on private statistics from a TCS perspective, as part of the private statistics mini-course in the Data Privacy Boot Camp. Video is here, and the slides are here. (1/23/19) I am a maintainer of the CS Theory Blog Aggregator. (1/22/19) I will be giving a talk at MIT's Algorithms and Complexity Seminar on February 19, 2019. (1/21/19) I will be giving a talk at Berkeley's BLISS Seminar on February 25, 2019. (1/14/19) I will be on the PC of SODA 2020. (12/19/18) A Chasm Between Identity and Equivalence Testing with Conditional Queries published in Theory of Computing. (12/13/18) I will be giving a talk during the Simons Institute Data Privacy Boot Camp on January 29, 2019. (12/10/18) I will be giving a talk at Caltech's Mathematics of Information Seminar on January 22, 2019. (11/27/18) New paper (The Structure of Optimal Private Tests for Simple Hypotheses) posted to arXiv. (11/13/18) One paper (Sever: A Robust Meta-Algorithm for Stochastic Optimization) to be presented at SECML 2018, oral presentation. (11/2/18) Video of my talk today on Realizing Robustness is available. (10/25/18) I will be giving a talk on Realizing Robustness at the Simons Institute workshop on Robust and High-Dimensional Statistics on November 2. (9/27/18) One paper (Anaconda: A Non-Adaptive Conditional Sampling Algorithm for Distribution Testing) accepted to SODA 2019. (9/3/18) I was recognized as one of the 30% highest-scoring reviewers for NeurIPS 2018. (8/31/18) My Ph.D. thesis on Modern Challenges in Distribution Testing is complete and submitted! Besides my own work, it should serve as a good survey of recent works in the field. (8/22/18) Two papers (1, 2) to be presented at TPDP 2018. (8/17/18) I gave a talk at the Workshop on Computational Efficiency and High-Dimensional Robust Statistics. Slides from my talk are available here. (7/17/18) New paper (Anaconda: A Non-Adaptive Conditional Sampling Algorithm for Distribution Testing) posted to arXiv. (6/19/18) I have been named a Microsoft Research Fellow during my Simons-Berkeley Research Fellowship at the Simons Institute. (6/18/18) I successfully defended my PhD thesis! Video of the defense is available here. Older News Research All authorships are in alphabetical order, as is customary in theoretical computer science. Selected Papers (Show all): Privately Learning High-Dimensional Distributions. Gautam Kamath, Jerry Li, Vikrant Singhal, Jonathan Ullman. Manuscript. Presented at the 2018 Workshop on Theory and Practice of Differential Privacy (TPDP 2018). Video of a talk by Jon is available here. Sever: A Robust Meta-Algorithm for Stochastic Optimization. Ilias Diakonikolas, Gautam Kamath, Daniel M. Kane, Jerry Li, Jacob Steinhardt, Alistair Stewart. In submission to ICML 2019. Presented at the NeurIPS 2018 Workshop on Security in Machine Learning (SECML 2018). Oral Presentation. Video of a talk by Jerry is available here. The Structure of Optimal Private Tests for Simple Hypotheses. Clment Canonne, Gautam Kamath, Audra McMillan, Adam Smith, Jonathan Ullman. Proceedings of the 51st ACM Symposium on Theory of Computing (STOC 2019). Anaconda: A Non-Adaptive Conditional Sampling Algorithm for Distribution Testing. Gautam Kamath, Christos Tzamos. Proceedings of the 30th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA 2019). ECCC link Slides from my talk at SODA available here. Featured in: Property Testing Review. INSPECTRE: Privately Estimating the Unseen. Jayadev Acharya, Gautam Kamath, Ziteng Sun, Huanyu Zhang. Proceedings of the 35th International Conference on Machine Learning (ICML 2018). Presented at the 2018 Workshop on Theory and Practice of Differential Privacy (TPDP 2018). Code is available here. Featured in: Property Testing Review Video of a talk by Huanyu is available here. Actively Avoiding Nonsense in Generative Models. Steve Hanneke, Adam Kalai, Gautam Kamath, Christos Tzamos. Proceedings of the 31st Annual Conference on Learning Theory (COLT 2018). Video of Adam's talk at COLT can be viewed here. Which Distribution Distances are Sublinearly Testable? Constantinos Daskalakis, Gautam Kamath, John Wright. Proceedings of the 29th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA 2018). ECCC link Featured in: Property Testing Review. Testing Ising Models. Constantinos Daskalakis, Nishanth Dikkala, Gautam Kamath. Revise and resubmit to IEEE Transactions on Information Theory. A preliminary version of this work appeared in the proceedings of the 29th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA 2018). ECCC link Featured in: Property Testing Review. Robustly Learning a Gaussian: Getting Optimal Error, Efficiently. Ilias Diakonikolas, Gautam Kamath, Daniel M. Kane, Jerry Li, Ankur Moitra, Alistair Stewart. Proceedings of the 29th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA 2018). Concentration of Multilinear Functions of the Ising Model with Applications to Network Data. Constantinos Daskalakis, Nishanth Dikkala, Gautam Kamath. Advances in Neural Information Processing Systems 30 (NIPS 2017). Code is available here. A three-minute summary video for NIPS is available here. Our NIPS poster is viewable here. Priv'IT: Private and Sample Efficient Identity Testing. Bryan Cai, Constantinos Daskalakis, Gautam Kamath. Proceedings of the 34th International Conference on Machine Learning (ICML 2017). Presented at the ICML 2017 Workshop on Private and Secure Machine Learning 2017 (PSML 2017). Video of my talk at ICML can be viewed here. Code is available here. Featured in: Property Testing Review. Being Robust (in High Dimensions) Can Be Practical. Ilias Diakonikolas, Gautam Kamath, Daniel M. Kane, Jerry Li, Ankur Moitra, Alistair Stewart. Proceedings of the 34th International Conference on Machine Learning (ICML 2017). Code is available here. Video of Jerry's talk at ICML can be viewed here. Robust Estimators in High Dimensions without the Computational Intractability. Ilias Diakonikolas, Gautam Kamath, Daniel M. Kane, Jerry Li, Ankur Moitra, Alistair Stewart. Proceedings of the 57th Annual IEEE Symposium on Foundations of Computer Science (FOCS 2016). Invited to the SIAM Journal on Computing Special Issue for FOCS 2016. Invited to Highlights of Algorithms 2017. Video of Jerry's talk at FOCS can be viewed here. Video of Jerry's talk at TCS+ can be viewed here. Video of Ankur's talk at the Simons Institute can be viewed here. Featured in: MIT News, USC Viterbi News A Size-Free CLT for Poisson Multinomials and its Applications. Constantinos Daskalakis, Anindya De, Gautam Kamath, Christos Tzamos. Proceedings of the 48th ACM Symposium on Theory of Computing (STOC 2016). Optimal Testing for Properties of Distributions. Jayadev Acharya, Constantinos Daskalakis, Gautam Kamath. Advances in Neural Information Processing Systems 28 (NIPS 2015). Selected for a Spotlight Presentation (4.5% acceptance rate). Video of a talk by Costis at UT Austin can be viewed here. Video of the spotlight talk by Jayadev at NIPS can be viewed here (at 9:15). Featured in: MIT Theory of Computation Student Blog, Property Testing Review. An extremely condensed version of this paper appeared in Volume Four of Tiny Transactions on Computer Science (Tiny ToCS). On the Structure, Covering, and Learning of Poisson Multinomial Distributions. Constantinos Daskalakis, Gautam Kamath, Christos Tzamos. Proceedings of the 56th Annual IEEE Symposium on Foundations of Computer Science (FOCS 2015). Video of the talk by Christos at FOCS can be viewed here. A Chasm Between Identity and Equivalence Testing with Conditional Queries. Jayadev Acharya, Clment Canonne, Gautam Kamath. Theory of Computing, 14(19), 2018. A preliminary version of this work appeared in the proceedings of the 19th International Workshop on Randomization and Computation (RANDOM 2015). ECCC link Slides from Clment's talk at RANDOM available here. Featured in: Oded Goldreich's Choices, Property Testing Review, Sublinear.info. Adaptive Estimation in Weighted Group Testing. Jayadev Acharya, Clment Canonne, Gautam Kamath. Proceedings of the 2015 IEEE International Symposium on Information Theory (ISIT 2015). Faster and Sample Near-Optimal Algorithms for Proper Learning Mixtures of Gaussians. Constantinos Daskalakis, Gautam Kamath. Proceedings of the 27th Annual Conference on Learning Theory (COLT 2014). Slides from the talk at COLT available here. Video of the talk can be viewed here. An Analysis of One-Dimensional Schelling Segregation. Christina Brandt, Nicole Immorlica, Gautam Kamath, Robert Kleinberg. Proceedings of the 44th ACM Symposium on Theory of Computing (STOC 2012). I was very lucky to be awarded the inaugural STOC Best Student Presentation Award by SIGACT for this talk. Slides from the talk at STOC available here, adapted from slides from a talk by Nicole at MSR. Video of the talk can be viewed here. Featured in: American Scientist. Theses Modern Challenges in Distribution Testing. Gautam Kamath. Ph.D. Thesis, 2018. On Learning and Covering Structured Distributions. Gautam Kamath. M.Sc. Thesis, 2014. Talk Videos Here are some videos of talks I've given. Private Statistics: A TCS Perspective. Presented as part of the mini-course on private statistics at the Data Privacy Boot Camp. Realizing Robustness. Presented at the Robust and High-Dimensional Statistics Workshop Modern Challenges in Distribution Testing. My PhD defense talk. Differentially Private Hypothesis Testing and Property Estimation. Presented at Mathematical Foundations of Data Privacy. Robustness in Unsupervised and Supervised Learning. Presented at Modern Challenges of Learning Theory. Testing with Alternative Distances. Presented at Frontiers of Distribution Testing workshop at FOCS 2017. Priv'IT: Private and Sample Efficient Identity Testing. Presented at ICML 2017. Faster and Sample Near-Optimal Algorithms for Proper Learning Mixtures of Gaussians. Presented at COLT 2014. An Analysis of One-Dimensional Schelling Segregation. Presented at STOC 2012. Coauthors My co-authors include: Jayadev Acharya, Christina Brandt, Bryan Cai, Clment Canonne, Constantinos Daskalakis, Anindya De, Ilias Diakonikolas, Nishanth Dikkala, Steve Hanneke, Nicole Immorlica, Adam Kalai, Daniel M. Kane, Robert Kleinberg, Jerry Li, Ankur Moitra, Audra McMillan, Vikrant Singhal, Adam Smith, Jacob Steinhardt, Alistair Stewart, Ziteng Sun, Christos Tzamos, Jonathan Ullman, John Wright, Huanyu Zhang. Other Writings For Advanced Algorithms (6.854), I wrote a survey of matroid secretary problem algorithms as a final project. Some bounds on the expectation of the maximum of samples from a Gaussian. I thought this was a fairly natural problem, but when I wrote it, I was unable to find anyone else who had computed the explicit lower bound here. Service I am a maintainer of the CS Theory Blog Aggregator, along with Arnab Bhattacharyya and Suresh Venkatasubramanian. I will be on the PC of SODA 2020. Clment Canonne and I organized a workshop on distribution testing at FOCS 2017. Clment Canonne and I organized a workshop on orthogonal polynomials at FOCS 2016. I'm an editor for the MIT Theory of Computation Student Blog and Property Testing Review. I'm one of the organizers of TCS+, an online seminar series in theoretical computer science, accessible to the widest possible audience, and ensuring a carbon-free dissemination of ideas across the globe. I organized the second Sublinear Day, which was on April 10, 2015 at MIT. I was the head organizer for the Second Annual Danny Lewin MIT Theory Student Retreat, which took place in October 2013. Aloni and Themis wrote a bit about this retreat here. From Fall 2012 to Fall 2013, I was in charge of the Theory Group lunch, which was the current incarnation of Great Ideas in Theoretical Computer Science at CSAIL. The website for the current offering is here. Other Projects As a final project for a microcontrollers class, my partner Dominick Grochowina and I made an automated vocalist for the game Rock Band. This was featured on the website Hack A Day. Videos of the bot in action can be seen here and here. I worked on a project called Plannit, which won second place at Cornell Facebook Hackathon. Partners on this project were Jasdeep Hundal, Sohan Jain, and Harry Terkelsen. Resources Here is a collection of collections of talk videos. TCS+: An series of online seminars in theoretical computer science. Simons Institute Videos: Videos from workshops hosted at the Simons Institute for the Theory of Computing. BIRS Videos: Videos from workshops hosted at the Banff International Research Station. Institute for Advanced Studies Videos: Videos from the IAS. Note that many are related to other fields besides computer science. Microsoft Research Talks: Talks at Microsoft Research, including a variety of topics beyond theory. Shannon Channel: A series of online seminars in information theory. Princeton TCS Videos: Videos from theory lunch and workshops within Princeton's theory group. Techtalks.tv: Talks from a number of conferences. You may have to search for the conferences of interest. Some may include FOCS and ICML. Videolectures.net: Lecture videos from a number of conferences and workshops, seems to be primarily focused on machine learning events. I used to go by the name "G", though I now prefer Gautam. Also, my name is not Guatam Kamath, though it is commonly misspelled as such. diff --git a/src/data/compiled_bios/2824.txt b/src/data/compiled_bios/2824.txt new file mode 100644 index 0000000000..f82d2eab46 --- /dev/null +++ b/src/data/compiled_bios/2824.txt @@ -0,0 +1 @@ +The Craig Web Experience A man, a plan, a canal, Craig! Craig S. Kaplan Associate Professor [private] Computer Graphics Lab [people] [private] The David R. Cheriton School of Computer Science [faculty] [staff] [talks] University of Waterloo [schedule] [dates] Waterloo, Ontario, Canada Office: DC2110 Voice: (519) 888 4567 x34589 email: Research I'm a member of the Computer Graphics Lab, where I study the use of computer graphics in art, ornament, and design. My interests extend from there into nonphotorealistic rendering. I also dabble in human-computer interaction, computational geometry and programming languages. Pages devoted to specific research projects I wrote a short book that offers an introduction to tiling theory suitable for computer scientists. Complete list of publications A separate page about my doctoral dissertation, Computer Graphics and Geometric Ornamental Design Teaching Fall 2017: CS 135 -- Designing Functional Programs CS 898 -- Machine Learning in Computer Graphics Previous terms Other Activities I'm one of the organizers of the Bridges Conference, an annual event about art and mathematics. Miscellaneous My academic genealogy. Presentation tips, compiled from a seminar by Edward Tufte. A page about the correct uses of "it's" and "its". A simple introduction to the halting problem. Pot Pourri (stinky pot) Watch a video of my alter ego, Damien Underwood, giving an overview of Alternative Computing Paradigms to unsuspecting prospective graduate students at the University of Washington. Everyone talks about getting their heads examined, but not many people are willing to do something about it. Get a good, close look at my head. Relieve that parched throat with a refreshing glass of water. Apparently, I have a wife. I'm given to believe that her name is Nath. Family photos Other photos Last updated: diff --git a/src/data/compiled_bios/2825.txt b/src/data/compiled_bios/2825.txt new file mode 100644 index 0000000000..686e933ecd --- /dev/null +++ b/src/data/compiled_bios/2825.txt @@ -0,0 +1 @@ +Lila Kari LILA KARI Professor University Research Chair School of Computer Science University of Waterloo Waterloo, Ontario Canada N2L 3G1 Tel. +1-519-888-4567, ext. 33336 Fax: +1-519-885-1208 email: "lila" at "uwaterloo.ca" Research Interests Natural Computation Bioinformation and biocomputation - theoretical aspects Nanocomputation by DNA self-assembly Models of cellular computation Watson-Crick complementarity in formal languages and automata theory Biodiversity informatics, data science Biography Media Awards Select papers Editor-in-Chief Theoretical Computer Science C H-index, Erdos number Teaching Students/Postdocs Publications Molecular (DNA) Computing Family: Stephen Watt, Althea Draghici, Lori Watt diff --git a/src/data/compiled_bios/2826.txt b/src/data/compiled_bios/2826.txt new file mode 100644 index 0000000000..6533178182 --- /dev/null +++ b/src/data/compiled_bios/2826.txt @@ -0,0 +1 @@ +Martin Karsten - Homepage Martin Karsten Associate Professor Systems and Networking David R. Cheriton School of Computer Science University of Waterloo 200 University Ave W Waterloo, ON, N2L 3G1Canada office: DC3506 email: mkarstenuwaterloo.ca, PGP key web: https://cs.uwaterloo.ca/~mkarsten phone: +1-519-888-4567 ext. 37125 fax: +1-519-885-1208 admin assistant: Greg McTavish Professional biography Research My primary research interests are software systems and networking. UW students: I am always looking for URAs (or other arrangements) to participate in software development projects. Teaching Winter 2018 CS 854 Advanced Topics in Computer Systems: Infrastructure as a Service Past David R. Cheriton School of Computer Science, University of Waterloo CS 230 Introduction to Computers and Computer Systems (W11) CS 343 Concurrent and Parallel Programming (F09, F12) CS 350 Operating Systems (W03/354) CS 436 Distributed Computer Systems (W10) CS 454/654 Distributed Systems (W03, S03, W05) CS 456/656 Computer Networks (S05, S06, S07, W09, S13, S15, S17) CS 755 System and Network Architectures and Implementation (S11/655, F14) CS 854 Advanced Topics in Computer Systems (F13, W16, W18) CS 856 Advanced Topics in Distributed Systems (S04, F07, W10) Department of Electrical Engineering and Information Technology, TU Darmstadt Technologies for Networked Multimedia Systems (S01, S02) Graduate Students Cong Guo (PhD program) Saman Barghi (PhD program) Yifan Zhang (MMath program) Navid Khan (MMath program) Information for Current Grad Students Information for Prospective Grad Students Administration I currently serve as Director, Infrastructure. This page is best viewed with your monitor switched on. diff --git a/src/data/compiled_bios/2827.txt b/src/data/compiled_bios/2827.txt new file mode 100644 index 0000000000..9e9fccd0ce --- /dev/null +++ b/src/data/compiled_bios/2827.txt @@ -0,0 +1 @@ +Florian Kerschbaum Florian Kerschbaum Contact University of Waterloo David R. Cheriton School of Computer Science 200 University Ave W Waterloo, ON N2L 3G1 Canada Office: DC 3524 Email: florian.kerschbaum@uwaterloo.ca Note that I use strict spam filtering (due to a huge amount of spam) and if you think your email did not reach me, please use alternative means to contact me. About me I am an associate professor in the David R. Cheriton School of Computer Science at the University of Waterloo (since 2017) and executive director of the Waterloo Cybersecurity and Privacy Institute (since 2018). Before I worked as chief research expert at SAP in Karlsruhe (2005 2016) and as a software architect at Arxan Technologies in San Francisco (2002 2004). I hold a Ph.D. in computer science from the Karlsruhe Institute of Technology (2010) and a master's degree from Purdue University (2001). I am interested in data security and privacy in data management, machine learning, and blockchains. I extend real-world systems with cryptographic security mechanisms to achieve (some) provable security guarantees. My work has been applied to products for databases, supply chain management and RFID tracking. Students I have a post-doc position in data security and applied cryptography with negotiable start date. For details please see here. University of Waterloo Dr. Maryam Sepehri (PostDoc) Dr. Yaser Baseri (PostDoc) Masoumeh Shafieinejad (PhD) Bailey Kacsmar (PhD) Nils Lukas (PhD) Basit Khurram (Masters) Alexander Norton (Masters) Zhiwei Shang (Masters) SAP Daniel Bernau (co-advisor: Ralf Ksters) Jonas Bhler (co-advisor: Jrn Mller-Quade) Andreas Fischer (co-advisor: Eric Bodden) Benny Fuhry (co-advisor: Frederik Armknecht) Anselme Tueno (co-advisor: Stefan Katzenbeisser) Benjamin Weggenmann (co-advisor: Ralf Ksters) Alumni Dr. Florian Hahn (co-advisor: Jrn Mller-Quade) PhD at Karlsruhe Institute of Technology (2018) Dr. Marek Jawurek (co-advisor: Felix Freiling) PhD at Universitt Erlangen-Nrnberg (2013) Awarded ACM SIGSAC Dissertation Award Dr. Axel Schrpfer (co-advisor: Gnter Mller) PhD at Universitt Freiburg (2012) Teaching and Professional Training University of Waterloo Fall 2018: CS458/658 Computer Security & Privacy Winter 2018: CS338 Computer Applications in Business: Databases Fall 2017: CS848 Topics in Encryption in Databases, Artificial Intelligence and Distributed Systems Winter 2017: CS458/CS658 Computer Security & Privacy Publications See DBLP for a fairly complete list. See Google Scholar for citations. See ACM DL, IEEE Xplore and SpringerLink for electronic copies. See USPTO for US patents or esp@cenet for all patents. See IACR ePrint and arXiv for technical reports. Here are some missing pre-prints: Tianhao Wang, Florian Kerschbaum. Attacks on Digital Watermarks for Deep Neural Networks 44th International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019. Anselme Tueno, Florian Kerschbaum, Stefan Katzenbeisser. Private Evaluation of Decision Trees using Sublinear Cost 19th Privacy Enhancing Technologies Symposium (PETS), PoPETS 2019 (1), 2019. Selected Service Associate editor ACM Transcactions on Privacy and Security IEEE Transactions on Dependable and Secure Computing Organizer Dagstuhl seminar on "The synergy between programming languages and cryptography" General (co-)chair ACM SACMAT 2019 PC (co-)chair IFIP DBSEC 2018 ACM SACMAT 2015, 2016 ACM WISCS 2016 ACM CCSW 2015 Program committee 2019: ICDE, WWW, CT-RSA, FC, PETS 2018: ICDE, ACSAC, ICDCS, ACNS, ASIACCS, CANS, CT-RSA, PETS, WPES 2017: ICDE, VLDB, DBSEC, ESORICS, ICDCS, ASIACCS, CANS, CCSW, WPES 2016: CCS, VLDB, DBSEC, CANS, FC, CCSW, WPES 2015: CCS, DBSEC, ESORICS, FC, WPES, WISCS 2014: CCS, ESORICS, FC, SACMAT, WPES, WISCS 2013: CCS, FC, WPES Recent Keynotes, Invited Talks and Panels at Academic Conferences International Workshop on Policy-based Autonomic Data Governance (PADG), 2018. Keynote: On Policies, Authentication and Privacy in Large Networks of Cyber-Physical Objects ACM Cloud Computing Security Workshop (CCSW), 2017. Keynote: Building Secure Applications Using Intel's SGX International Symposium on Foundations & Practice of Security (FPS), 2017. Keynote: Building Secure Applications Using Intel's SGX IEEE Workshop on Security and Privacy in the Cloud (SPC), 2016. Keynote: On Leaking Encryption IFIP WG 11.3 Working Conference on Data and Applications Security and Privacy (DBSEC), 2016. Keynote: On Leaking Encryption International Conference on Financial Cryptography and Data Security (FC), 2016. Panel: The Promises and Pitfalls of Distributed Consensus Systems: From Contract Signing to Cryptocurrencies International Conference on Information Systems Security (ICISS), 2013. Keynote: An Encrypted In-Memory Column-Store International Conference on Trusted Systems (InTrust) and European Trusted Infrastructure and Systems School (ETISS), 2013. Invited Talk: Encrypted Cloud Databases ACM Symposium on Access Control Models and Technology (SACMAT), 2013. Keynote: Searching over Encrypted Data in Cloud Systems Funding University of Waterloo Collaborative Research and Development Grant (NSERC 2019-2021) Royal Bank of Canada (RBC) Discovery Supplement (NSERC/DND 2018-2020) Discovery Accelerator Supplement (NSERC 2017-2020) Discovery Grant (NSERC 2017-2022) diff --git a/src/data/compiled_bios/2828.txt b/src/data/compiled_bios/2828.txt new file mode 100644 index 0000000000..8e8fbad058 --- /dev/null +++ b/src/data/compiled_bios/2828.txt @@ -0,0 +1 @@ +Keshav by Nicole Keshav, 2018 About me Professor and ACM Fellow and IEEE Fellow in the Cheriton School of Computer Science at the University of Waterloo. Pronunciation links: Srinivasan Keshav (Keshav is my first name, though syntactically last). My main research focus is on blockchains for transactive energy. I will be teaching a course on blockchains in Winter 2019. Google News and Scholar profile Contact information Telephone: (519) 888 4567 x34456 Email: keshav at uwaterloo dot ca (I do not respond to email on weekends or between 5:00pm and 8:30am). Physical: DC 3621 Davis Center, University of Waterloo, 200 University Ave. West, Waterloo, ON N2L 3G1, Canada; Route to my DC office; If you are driving here, park in the M lot Older images Retrieved from "http://blizzard.cs.uwaterloo.ca/keshav/wiki/index.php?title=Main_Page&oldid=446" Navigation menu Main Page | Log in RESEARCH PhilosophyBlockchainEnergy (ISS4E) PUBLICATIONS ChronologicalHow to Read a PaperBy areaPresentationsPatents TEACHING CoursesBooksStudentsVideos ETC. AdviceHumourBio diff --git a/src/data/compiled_bios/2829.txt b/src/data/compiled_bios/2829.txt new file mode 100644 index 0000000000..3ba417a8c8 --- /dev/null +++ b/src/data/compiled_bios/2829.txt @@ -0,0 +1 @@ +Home page of George Labahn George Labahn Director Symbolic Computation Group Professor and Director of Graduate Studies David R. Cheriton School of Computer Science Previously : Associate Dean, Graduate Studies and Research Faculty of Math University of Waterloo Ontario, Canada, N2L 3G1 Office: DC3629 Phone: 519-888-4567 x34667 Fax: 519-885-1208 Email: glabahn@uwaterloo.ca I am interested in many areas of computational mathematics. My main area of research lies in the field of Computer Algebra with a secondary area being in the field of Computational Finance. In addition, I am the principal researcher in the MathBrush project, which seeks to create software for doing mathematics on pen-based devices. My work on computer algebra centers on effective algorithms for both exact and symbolic-numeric computation. My work includes algorithms for Matrix Normal Forms (polynomial and Ore domains), Greatest Common Divisors of numeric polynomials, Differential equations (particularly those with elliptic functions as coefficients) and Rational Approximation and Interpolation. My main co-author in this topic (and numerous other topics) is Bernhard Beckermann My work in computational finance centers on fast, stable methods for solving financial option problems, particularly options whose underlying asset follows a jump diffusion pricing model. My main co-author in this topic is Peter Forsyth My work on pen-based mathematics centers on the development of the MathBrush penmath system. This work includes recognition of handwritten mathematics along with understanding how mathematics can be done using only a pen and a computer algebra backend,. I am an associate editor of Journal of Symbolic Computation (JSC). I am a former associate editor of ACM Transactions of Mathematical Software (TOMS). My CV Publications list Some Specific Research Topics Computer Algebra Order/Sigma bases [ Ref1, Ref2, Ref3] (with B. Beckermann) Fast algorithms for Order Bases [ Ref1 Ref2](with W. Zhou) Fast algorithms for polynomial matrix arithmetic [ Ref1, Ref2, Ref3, Ref4] (with W. Zhou) Fraction-free algorithms for computing matrix GCD's and matrix rational interpolants [ Ref1, Ref2, Ref3] (with B. Beckermann) Fraction-free algorithms for computing normal forms of polynomial matrices (with B. Beckermann and G. Villard [Ref1, Ref2]) and Ore polynomials (with B. Beckermann and H. Cheng [Ref3]). Scaling and finite abelian group symmetries [Ref1,Ref2 , Ref3 ] (with E. Hubert) Probabilistic algorithms for Hermite and Smith normal forms of polynomial matrices [Ref1, Ref2, Ref3] (with A. Storjohann) Semi-numerical Computations: GCD's of numerical polynomials [Ref1, Ref2] (with B. Beckermann). The SNAP package (with C-P Jeannerod) [Ref] Rational functions (with B. Beckermann and A. Matos) [Ref] Semi-numerical sparse interpolation of black box polynomials [Ref1, Ref2] ( with M. Giesbrecht and W-s Lee) and the numerical conditioning of these and related problems [Ref2] (with B. Beckermann and G. Golub). Closed form solutions of linear odes having elliptic functions as coefficients (with R. Burger and M. van Hoeij) [Ref]. Hyperexponential solutions of orthogonal systems of Ore operators (with Ziming Li) [Ref] Differential equations in Maple (old) [Ref] Computational Finance Pricing of convertable bonds (with Y. d'Halluin, P.A. Forsyth and K. Vetzal [Ref]) Penalty method for American options with jump diffusion (with Y. d'Halluin and P.A. Forsyth [Ref]) Asian options with american conditions under jump diffusion processes (with Y. d'Halluin and P.A. Forsyth [Ref]) Controlled HJB PDEs in Finance (with P.A. Forsyth [Ref]) Guaranteed Benefit contracts (with A. Belanger and P.A. Forsyth [Ref]) Singular Control Problems in Finance (with P.A. Forsyth and I. Huang [Ref1, Ref2, Ref3, Ref4]) Rational Approximation Uniform computation of matrix rational approximants (with B. Beckermann) [Ref1, Ref2, Ref3, Ref4, Ref5] Fast, numerically stable computation of matrix Pade approximants (with S. Cabay and T. Jones) [Ref1, Ref2, Ref3] Structured Matrices Inversion of structured matrices (with B. Beckermann, D.K. Choi, S. Cabay, T. Shalom) [Ref1, Ref2, Ref3, Ref4, Ref5] Pen Math Interfaces The MathBrush pen math system [ Ref1, Ref2, Ref3 ] Recognizers for handwritten math [ Ref , [ arXiv-1409.5317 ] (with S. Maclean) Matrix algebra and pen math input [ Ref ] PenMath corpora [Ref] Maple Software Integration of Elliptic Functions (2004) Solving linear ODEs with doubly periodic coefficients (2003,2004) The Matrix Polynomial Algebra package in Maple (2002) The SNAP package in Maple (with C.P. Jennerod) (2001) Special function solutions of higher order linear odes using the Meijer G function (2000) Solving linear differential equation using differential factorization (1999-2000) Solution of linear differential equations via special functions in Maple (1996-2000) The DEtools package for working with differential equations in Maple (1992-1998) Computation of indefinite Elliptic integrals in Maple (1996) The Plots graphics package in Maple (1990-1995) The Plottools graphics package in Maple (1995) The inttrans package for computation of integral transforms in Maple (1992-1995) Computation of definite Elliptic Integrals in Maple (1991-1996) The linear ODE solver in Maple (1993-1998) The Mpade package for matrix rational approximation (in Maple share library) (1993) Matrix similarity in Maple (1994) Frobenius and Jordan Normal Forms in Maple (1992-1995) Indefinite Integration of Bessel Functions in Maple (1993) Extensions of Risch Algorithm for functions defined by integrals in Maple (1992) Implementation of bivariate modular gcd algorithm in Maple (1991) Computation of the Matrix Exponential in Maple (1989) Other Pictures Miscellaneous: York Tournament Last modified May 2018, 2018 diff --git a/src/data/compiled_bios/283.txt b/src/data/compiled_bios/283.txt new file mode 100644 index 0000000000..8931595051 --- /dev/null +++ b/src/data/compiled_bios/283.txt @@ -0,0 +1 @@ + Contact Information Amy W. Apon, Ph.D. Professor and Chair Division of Computer Science School of Computing 221 McAdams Hall Clemson, SC 29634 Phone: 864-656-5769 Fax: 864-656-0145 Email: aapon at clemson.edu Curriculum Vita I live on beautiful Lake Keowee. Amy W. Apon, Ph.D. I maintain an active research program at Clemson. Areas of research interest include cloud computing, performance modeling and analysis of parallel and distributed system, data-intensive computing, emerging parallel architectures, and impact of high performance computing to research competiveness. Our research is currently supported by the National Science Foundation, the Department of Education, BMW, HPCC Systems, LexisNexis, Elsevier Scopus, Relx Group, and Amazon. Read more about my research team at our website: Data Intensive Computing Lab Course Information Cloud Computing Architecture. CPSC 4440/6440. This course studies models and design tradeoffs of cloud computing architecture, including computing, network, storage, autoscaling, availability, and security features. Parallel Computer Architecture. CPSC 8200. This graduate course studies parallel processing issues in modern parallel computer systems. The course takes an experimental approach to the study of a number of important technologies in the areas of parallel computer systems. Data-Intensive Computing. This graduate seminar focuses on paradigms and technologies to support the emerging interdisciplinary area of data-intensive computing. Last modified in August, 2016. diff --git a/src/data/compiled_bios/2830.txt b/src/data/compiled_bios/2830.txt new file mode 100644 index 0000000000..62dba13818 --- /dev/null +++ b/src/data/compiled_bios/2830.txt @@ -0,0 +1 @@ +Edward Lank Edward Lank home research publications teaching hci lab About Me I am a professor in the Cheriton School of Computer Science at the University of Waterloo. My research is in the area of Human-Computer Interaction (HCI). In particular, my research focuses on: Intelligent User Interfaces Mobile/Multi-Touch Interaction Territoriality Around Large Displays Sketch/Drawing Input and Recognition You can find out more about my current research projects from my research page or at the hci lab website. Edward LankProfessor Cheriton School of Computer Science University of Waterloo 200 University Ave. W. Waterloo, ON, Canada N2L 3G1 This is an open source CSS Template, Copyright 2006 Truly Simple. The original design was by Igor Penjivrag diff --git a/src/data/compiled_bios/2831.txt b/src/data/compiled_bios/2831.txt new file mode 100644 index 0000000000..efcaad83ee --- /dev/null +++ b/src/data/compiled_bios/2831.txt @@ -0,0 +1 @@ +Kate Larson | University of Waterloo Kate Larson Professor Cheriton School of Computer Science University of Waterloo Waterloo, Ontario, Canada, N2L 3G1 Office: DC 2518 Phone: 519 888 4567 x37760 Email: firstname.lastname@uwaterloo.ca Site menu: Home Publications Students Teaching CV Contact Research Interests Key Words: Artificial Intelligence, Multiagent Systems, Electronic Commerce, Game Theory, Mechanism Design, Automated Negotiation, Coalition Formation, Normative Models of Bounded Rationality, Resource Bounded Reasoning I am interested in issues that arise in settings where self-interested agents interact. I work with ideas that lie in the intersection of artificial intelligence, game theory and microeconomics. In particular, I am interested in understanding how computational limitations influence strategic behavior in multiagent systems, as well as developing approaches to overcome computational issues which arise in practical applications of mechanism design. Applications of my work range from electronic market design to incentive-based computing. Short Bio I am a professor in the Cheriton School of Computer Science at the University of Waterloo. I am affiliated with the AI group. I completed my Ph.D in Computer Science at Carnegie Mellon University. My undergraduate degree was in mathematics from Memorial University of Newfoundland. Copyright 2013 Kate Larson | Design by Andreas Viklund | Photo by Anna Beard. diff --git a/src/data/compiled_bios/2832.txt b/src/data/compiled_bios/2832.txt new file mode 100644 index 0000000000..d25bf0d382 --- /dev/null +++ b/src/data/compiled_bios/2832.txt @@ -0,0 +1 @@ +Lap Chi Lau . home . about . research . teaching . Office: DC 3120 Phone: 519-888-4567 x38229 Email: lapchi@uwaterloo.ca Associate Professor Algorithms and Complexity Group Cheriton School of Computer Science University of Waterloo Lap Chi Lau | CS Waterloo My research interests are in algorithmic graph theory, approximation algorithms and combinatorial optimization. Recently, I am very interested in spectral graph theory. I am cross appointed in the Department of Combinatorics and Optimization. I am also an adjunct associate professor in the Department of Computer Science and Engineering in The Chinese University of Hong Kong. diff --git a/src/data/compiled_bios/2833.txt b/src/data/compiled_bios/2833.txt new file mode 100644 index 0000000000..8d0a571442 --- /dev/null +++ b/src/data/compiled_bios/2833.txt @@ -0,0 +1 @@ +Edith Law @ U.Waterloo Edith Law Assistant Professor, University of Waterloo Ph.D. (CMU), M.Sc. (McGill), B.Sc. (UBC) edith.law-=at=-uwaterloo.ca Home Research People Teaching Service Join Us! I am an Assistant Professor at the David R. Cheriton School of Computer Science at University of Waterloo. My research focuses on how people can enhance intelligent systems (e.g., human-in-the-loop systems, crowdsourcing) as well as how people can make sense of intelligent systems, including issues related to transparency, engagement, trust and collaboration. I am interested in developing technologies that leverage the AI-people partnership to tackle more complex problems in business, science and medicine. I am part of the Human Computer Interaction Lab. My work is funded by NSERC Discovery Grant, NSERC-CIHR Collaborative Health Research Project (CHRP) as well as the CFI-JELF program. Previously, I was a CRCS postdoctoral fellow at Harvard University. I graduated with a Ph.D. in Machine Learning from Carnegie Mellon University in 2012. Here is my curriculum vitae, list of publications, and a blurb about me from University of Waterloo Magazine. News: 2019 is a busy year! I am the conference co-chair for HCOMP 2019, track chair for the Crowdsourcing and Human Computation Track at WebConf 2019 (i.e., formerly WWW 2019), Associate Chair and Accessibility co-Chair for CHI 2019, Panel co-chair for CSCW 2019, senior program committee member for AAAI 2019, Associate Chair for the ACM Interaction Design and Children (IDC) conference, and program committee member for ACM Creativity and Cognition Conference. Our paper "Expression of Curiosity in Social Robots: Design, Perception, and Effects on Behaviour" is accepted to CHI 2019. Congratulations Jessy and Nalin! Our paper "Resolvable vs. Irresolvable Disagreement: A Study on Worker Deliberation in CrowdWork" won Best Paper Award at CSCW! Congratulations Mike! Mike Schaekermann is one of 39 students and the only student in Canada to receive the 2018 Google Ph.D. Fellowship in Human-Computer Interaction. Congraulations Mike!. Design by OS Templates diff --git a/src/data/compiled_bios/2834.txt b/src/data/compiled_bios/2834.txt new file mode 100644 index 0000000000..699b3b9240 --- /dev/null +++ b/src/data/compiled_bios/2834.txt @@ -0,0 +1 @@ +Ondej Lhotk Ondej Lhotk [ Home ] [ Publications ] [ Teaching ] Associate Professor Programming Languages Group David R. Cheriton School of Computer Science University of Waterloo 200 University Avenue West Waterloo, Ontario, N2L 3G1, Canada Office: DC 2520 Phone: +1-519-888-4567 ext. 36654 Fax: +1-519-885-1208 E-mail: olhotak@uwaterloo.ca Waterloo's participation in the ACM Programming Contest My research interests are in programming languages and compilers. My focus is on program analysis of object-oriented languages. I am currently directing most of my attention to Scala. Selected projects and research themes (current and former): - Flix, a declarative language for implementing program analyses PLDI16, ISSTA18, CC18, PPDP18 - Theoretical foundations of Scala OOPSLA17, Scala18, FTfJP17 - Interprocedural analysis and optimization of Scala OOPSLA16, TOSEM15, ECOOP14 - Call graph construction for incomplete programs ECOOP13, ECOOP12 - Context-sensitive program analysis algorithms PLDI17, SAS15, CC11a, CC11b, CC10 - Scalability of software model checking SCP15, OOPSLA12, ASE11, JPF11, SPIN11 - Static analysis of temporal properties OOPSLA08, VMCAI17, ISMM09, ECOOP07, OOPSLA05 - Points-to analysis POPL11a, POPL11b, TOSEM08, CC06, PLDI05, CC03 - Program analysis using Binary Decision Diagrams TC10, SP&E09, TOPLAS08, LCPC08, LCPC07, PLDI04, PLDI03 Postdocs and graduate students (current and alumni): Postdocs Magnus Madsen(Aalborg U.) Pavel Parzek(Charles U.) PhD Marianna Rapoport(current) Rei Thiessen(Google) Karim Ali(U. Alberta) Nomair Naeem(U. Waterloo) Mirza Omer Beg(NUCES) Masters Zhong Sheng Hu(current) Abel Nieto Rodriguez(current) Ifaz Kabir(PhD candidate, U. Alberta) Ming-Ho Yee(PhD candidate, Northeastern U.) Dan Brotherston(TD Bank) Marianna Rapoport(PhD candidate) Tarek Chammah Rei Thiessen(Google) Jonathan Rodriguez Alan Leung(Google) Adam Richard diff --git a/src/data/compiled_bios/2835.txt b/src/data/compiled_bios/2835.txt new file mode 100644 index 0000000000..a1963ff739 --- /dev/null +++ b/src/data/compiled_bios/2835.txt @@ -0,0 +1 @@ +Ming Li's Home Page Ming Li Canada Research Chair in Bioinformatics University Professor David R. Cheriton School of Computer Science University of Waterloo, Waterloo, Ontario N2L 3G1 Office: Davis Center 3355 Email: mli at uwaterloo dot ca Phone: 519-888-4659, Fax: 519-885-1208 | CV | Popular writings | Research Interests | Lectures | Service | Awards | Teaching | Recreational | Students | Book | I try to keep this homepage very low maintenance. My CV contains a list of papers. If you cannot download a paper from Google Scholar, or from some of my coauthors' websites Tao Jiang, Paul Vitanyi, please send me an email, I will send it to you. DeepNovo-DIA-Version 101 Last update on April 13, 2017. diff --git a/src/data/compiled_bios/2836.txt b/src/data/compiled_bios/2836.txt new file mode 100644 index 0000000000..08d38c5f35 --- /dev/null +++ b/src/data/compiled_bios/2836.txt @@ -0,0 +1 @@ +Yuying Li Yuying Li Some links Waterloo SCICOM Comp Math UW CS UW Math UW home News Toronto Star CNN CNN FN Professor (PhD, Waterloo, 1988) School of Computer Science DC 3623 200 University Avenue West University of Waterloo Waterloo, Ontario, Canada, N2L 3G1 email: yuying@uwaterloo.ca phone: 519 888 4567 ext. 7825 fax: 519 885 1208 Research and Publications Google Scholar Link Panda (Predictive Advanced Nonlinear Diagnostic Analyzer, Aditya Tayal, Yuying Li, Tom Coleman), ranks the fourth place in the Heritage Health Provider Network Competition. My current research interest is data mining and computational finance. I am generally interested in algorithm design, analysis, and implementation for scientific computing problems. More specifically, I am interested in: Data mining: supervised, semi-supervised learning, feature selection, ordinal regression, similarity measure Fraud detection, e.g., unsupervised auto insurance fraud detection Computational finance Computational methods for optimization Trust region methods Large scale optimization Image restoration and segmentation I have a few recent manuscripts available on-line: ( More Publications here ) K. Nian, T. F. Coleman ,and Y. Li, ''Learning Minimum Variance Discrete Hedging from Market'', pdf , To appear, Journal of Quantitative Finance, 2017. A. Tayal, T. F. Coleman ,and Y. Li, ''Bounding the Difference Between RankRC and RankSVM and Application to Multi-Level Rare Class Kernel Ranking'', pdf , Data Mining and Knowledge Discovery, To appear, 2017. E. Cheung and Y. Li, ''Self-training with adaptive regularization for S3VM'', pdf, Neural Networks (IJCNN), 2017 International Joint Conference on, 3633-3640. E. Cheung and Y. Li, ''Projection Free Rank Drop Steps'', pdf, IJCAI, 2017 K. Nian, H. Zhang.A. Tayal, T. F. Coleman ,and Y. Li, ''Auto insurance fraud detection using unsupervised spectral ranking for anomaly'', pdf ,The Journal of Finance and Data Science 2 (1), 58-75, 2016 DM Dang, PA Forsyth, and Y. Li, ''Convergence of the embedded mean-variance optimal points with discrete sampling'', pdf, Numerische Mathematik, 132 (2), 271-302, 2016 A. Tayal, T. F. Coleman ,and Y. Li, ''RankRC: Large-scale Nonlinear Rare Class Ranking'', pdf , IEEE Transactions on Knowledge and Data Engineering, Vol 27, December 2015. A. Tayal, T. F. Coleman ,and Y. Li, ''Primal Explicit Max Margin Feature Selection for Nonlinear Support Vector Machines'', pdf, Pattern Recognition 47 (6), 2153-2164, 2014. J. Xi,T. F. Coleman ,and Y. Li, ''A Gradual Non-convexification Method for Minimizing VaR'', pdf. Journal of Risk, vol 26, (3), 23-47,2014. S. Moazeni,T. F. Coleman ,and Y. Li, ''Regularized Optimal Portfolio Optimization, an Optimal Execution Case'', pdf , Journal of Computational Optimization and Application, 55(2), 341-377, 2013. S. T. Tse, P. A. Forsyth, and Y. Li, ''Preservation of Scalarization Optimal Points in the Embedding Technique for Continuous Time Mean Variance Optimization'', pdfpdf. SIAM Journal on Control and Optimization 52 (3), 1527-1536, 2015 T. F. Coleman,Y. Li and C. Wang, ''Stable Local Volatility Calibration Using Kernel Splines'', pdf. Journal of Computational Optimization and Application, 55(3), 675-702, 2013. T. F. Coleman and Y. Li, Optimization & Finance, Encyclopedia of Quantitative Finance, R. Cont (Ed), John Wiley \& Sons Ltd. Chichester, UK. pp. 1322-1327. 2010. S. Moazeni, T. F. Coleman and Y. Li, ''Optimal Portfolio Execution Strategies and Sensitivity to Price Impact Parameters'', pdf . SIAM J. Optimization, 30, 1620-1654, 2010. L. Zhu, T. F. Coleman and Y. Li, ''Min-Max Robust and CVaR Robust Mean-Variance Portfolios'', pdf . Submitted to Journal of Risk, 2007. S. Moazeni, Y. Li, K. Larson, ''Execution Costs in financial markets with several institutional investors'', pdf . Proceedings of the Fourth IASTED International Conference, Financial Engineering and Application , pp 31-37, 2007. T. F. Coleman, Y. Kim, Y. Li and M. Patron, '' Robustly Hedging Variable Annuities with Guarantee Under Jump and Volatility Risks'', pdf . Journal of Risk and Insurance , Vol 74, pp 347-376, June 2007. C. He, T. F. Coleman, and Y. Li, ''Calibrating Volatility Function Bounds for An Uncertain Volatility Model '', pdf. Journal of Computational Finance, 13, 69-93, 2010 2006 C. He, T. F. Coleman, and Y. Li, ''Computation and Analysis for a Constrained Entropy Optimization Problem in Finance '', pdf . 2006. Journal of Computational and Applied Mathematics, 222(1), 159-174 S. Alexander, T. F. Coleman, and Yuying Li, ''Minimizing VaR and CVaR for a Por tfolio of Derivatives'', pdf. Journal of Banking and Finance, Vol. 30, no. 2, pp. 583-605, 2006. T. F. Coleman, J. Henninger, Y. Li, '' Minimizing Tracking Error While Restricting the Number of Assets'', pdf. Journal of Risk, vol 8, pp. 33-56, 2006. T. F. Coleman, Y. Li and M. Patron, '' Hedging Guarantees in Variable Annuities (Under Both Market and Interest Rate Risks)'', pdf, . Insurance: Mathematics and Economics , vol 38, pp. 215-228, 2006. T.F. Colemanm, Y. Li, and C. Patron ``Total risk minimization'', pdf . Handbook of Financial Engineering. Published by Elsevier, Edited by John R. Birge and Vadim Linetsky, pp. 593-635, 2007. C. He, J. S. Kennedy, T. F. Coleman, P. A. Forsyth, Y. Li and K. Vetzal, pdf . ''Calibration and Hedging under Jump Diffusion'', Review of Derivative Research, vol 9, pp 1-35, 2006. T. F. Coleman, D. Levchenkov and Y. Li, ''Discrete hedging of American-type options using local risk minimization'', pdf. Journal of Banking and Finance, vol 31, pp 3398-3419, 2007. S. Alexander, T. F. Coleman and Y. Li, ''Derivative Portfolio Hedging Based on CVaR'', pdf. New Risk Measures for the 21st Century, edited by G. Szego, pp. 3 39-363, 2004. T. F. Coleman, Y. Li and M. Patron, ''Discrete Hedging under Piecewise Linear Ri sk Minimization'', pdf. Journal of Risk , Vol. 5, pp. 39-65, 2003. K. Boyle, T. F. Coleman and Y. Li, ''Hedging a Portfolio of Derivatives by Modeling Cost'', pdf. IEEE Proceedings of the 2003 International Conference on Computational Intelligence for Financial Engineering (CIFEr2003), March 21-23, 2003, Hong Kong. T. F. Coleman, Y. Li and A. Verma, ''A Newton Method for American Option Pricing'', pdf. Journal of Computational Finance. Vol. 5, No 3, Spring 2002: 51-78. T. F. Coleman, Y. Li, Y. Kim and A. Verma, ''Dynamic Hedging with a Deterministic Volatility Function Model'', pdf. Journal of Risk , pp. 64-90, Vol. 4, 2001. T. F. Coleman, Y. Li and A. Mariano, ''Segmentation of Pulmonary Nodule Image Using 1-norm Minimization'', pdf . Computational Optimization and Applications , Vol. 19, September 2001, pp. 243-272. T. F. Coleman and Y. Li, ''A Trust Region and Affine Scaling Interior Point Method for Nonconvex Minimization with Linear Inequality Constraints'', pdf, . Mathematical Programming Series A , 88(1), 2000, pp. 1-32. T. F. Coleman, Y. Li and Arun Verma, '' Reconstructing the Unknown Local Volatility Function'', pdf. Journal of Computational Finance, Vol. 2, 1999, pp. 77-102. M. Branch, T. F. Coleman and Y. Li, ''A Subspace, Interior and Conjugate Gradient Method for Large-scale Bound-constrained Minimization Problems'', pdf. SIAM Journal on Scientific Computing, Vol. 21, 1999 pp. 1-21. diff --git a/src/data/compiled_bios/2837.txt b/src/data/compiled_bios/2837.txt new file mode 100644 index 0000000000..cd8acb9423 --- /dev/null +++ b/src/data/compiled_bios/2837.txt @@ -0,0 +1 @@ +Jimmy Lin Homepage Jimmy Lin University of Waterloo Home Publications Projects Students Teaching Resources About Me I'm a Professor and the David R. Cheriton Chair in the David R. Cheriton School of Computer Science at the University of Waterloo. Previously, I was at the University of Maryland. I completed my Ph.D. in Electrical Engineering and Computer Science at MIT in 2004. My research aims to build tools that help users make sense of large amounts of data. I work at the intersection of information retrieval, natural language processing, and databases, with a focus on large-scale distributed algorithms and infrastructure for data analytics. From 2010-2012, I spent an extended sabbatical at Twitter working on services designed to identify relevant content to users (search, recommendation, etc.) and analytics infrastructure to support data science (Hadoop tools, machine learning libraries, etc.). Follow me on Twitter here! I've also worked for Cloudera: In 2009, I was responsible for helping them build out a training and certification program; in fact, I wrote their very first certification exam! Interesting tidbit: Friedrich Leibniz was my (grand-14)advisor. Contact Information Jimmy Lin David R. Cheriton School of Computer Science University of Waterloo 200 University Avenue West Waterloo, ON N2L 3G1 Canada Copyright Jimmy Lin. Last updated: Adapted from a WordPress Theme by NeoEase. Valid XHTML 1.1 and CSS 3. keywords: Jimmy Lin, information retrieval (IR), natural language processing (NLP), big data, MapReduce, Hadoop, large-scale distributed systems, data-intensive text processing, question answering diff --git a/src/data/compiled_bios/2838.txt b/src/data/compiled_bios/2838.txt new file mode 100644 index 0000000000..e2a7489585 --- /dev/null +++ b/src/data/compiled_bios/2838.txt @@ -0,0 +1 @@ +Anna Lubiw Anna Lubiw Interests: computational geometry, graph drawing, graph algorithms, and combinatorial optimization Professor David R. Cheriton School of Computer Science University of Waterloo Waterloo, Ontario, Canada N2L 3G1 E-mail: alubiw AT uwaterloo.ca Office: DC 2334 Telephone: (519) 888-4567, ext. 34449 Fax: (519) 885-1208 I organize and play in orchestra@uwaterloo. Graduate Students Courses DBLP Google scholar I was chair of the Women in Computer Science committee, 11-12. Im a member of the Algorithms and Complexity research group. genealogy cv.pdf Professional Activities Zipper unfolding polyhedra. A sampling of projects Geometric k-centres of unit disc graphs Algorithms for solving Rubik's cubes Shortest descending paths Simultaneous planar graphs Morphing planar graphs Metamorphosis of the cube Touring polygons diff --git a/src/data/compiled_bios/2839.txt b/src/data/compiled_bios/2839.txt new file mode 100644 index 0000000000..c2553c955d --- /dev/null +++ b/src/data/compiled_bios/2839.txt @@ -0,0 +1 @@ +Bin Ma [experience] [awards] [software] [publications] Bin Ma Professor, University Research Chair David R. Cheriton School of Computer Science University of Waterloo Waterloo, ON, Canada N2L 3G1 Email: Phone: (519) 888-4567x32747 Office: DC3345 Past Experience 07/2011-now Professor. Cheriton School of Computer Science, University of Waterloo. 07/2008-06/2011 Associate Professor. Cheriton School of Computer Science, University of Waterloo. 08/2000-06/2008 Assistant Professor, Associate Professor, Canada Research Chair. Dept. Computer Science , University of Western Ontario. 10/1999-07/2000 Postdoc. University of Waterloo. 09/1994-07/1999 Ph.D. degree. Beijing (Peking) University. 02/1998-01/1999 Research Assistant. City University of Hong Kong. Hiring A postdoc in computational proteomics. See job description of the postdoc position. A bioinformatics software developer. See job description of the developer position. Awards Outstanding Young Computer Science Researcher prize, Canadian Association for Computer Science, 2010. Premier's Catalyst Award for Best Young Innovator, Ontario, 2009. Premier's Research Excellence Award, Ontario, 2003. Selected Software Novor. Novor is the first and only de novo peptide sequencing software with a speed that exceeds the throughput of today's fastest mass spectrometer. On a laptop computer, it can de novo sequence more than 300 spectra per second. The accuracy is also significantly better than other available software packages. It is free for academic usages. PEAKS (versions 1.0 to 7.0): PEAKS is the most popularly used peptide de novo sequencing software from mass spectrometry data. Software was initially written by me and then has been developed at Bioinformatics Solutions Inc. under my direction since 2002. I have led the development of PEAKS from its version 1.0 to 7.0; but have moved on to the Novor project since Jan. 2015. GlycoMaster DB: GlycoMaster DB identifies glycopeptides with their mass spectral data. Software was written by my former Ph.D. student Lin He. CHAMPS: CHAMPS software sequences a protein's amino acid sequence from its tandem mass spectrometry data and a homologous protein. Software was written by my former postdoc Xiaowen Liu. Check Google scholar for an updated list of publications diff --git a/src/data/compiled_bios/284.txt b/src/data/compiled_bios/284.txt new file mode 100644 index 0000000000..d2be5ea4e7 --- /dev/null +++ b/src/data/compiled_bios/284.txt @@ -0,0 +1 @@ + Associate Professor Division of Human-Centered Computing School of Computing Clemson University 125 McAdams Hall Clemson, SC - 29634-0474 Email: sbabu [at] clemson [dot] edu Phone: 864-656-5089 Fax: 864-656-0145 Sabarish V. Babu, PhD Hello, welcome to my home page! I am an Associate Professor in the Division of Human-Centered Computing in the School of Computing at Clemson University . I co-direct the virtual environments group with research projects involving spatial perception in virtual environments, scenario design and behavior modeling for virtual agents in interactive simulations, virtual reality based training and education in the mechanical and medical domains. My Google Scholar Profile is Here . My research interests are broadly in the areas of Virtual Environments, 3D Human-Computer Interaction, Virtual Humans, and Embodied Agents. I have also conducted research in the use of virtual reality in the therapy of balance disorders, travel and locomotion in virtual environments, applied perception and cognition in virtual reality, computer vision, and visualization. Prior to joining Clemson University, I served as a Assistant Research Scientist and Post-Doctoral Fellow (2007 to 2010) in the Hank Virtual Environments Lab at the University of Iowa . I earned my PhD (May 2007) in the Department of Computer Science at the University of North Carolina at Charlotte . I also hold an MS degree in Informatics (May 2002) and a BS degree in Biology (May 2000) from UNC-Charlotte. I was the General Chair for the IEEE Virtual Reality Conference 2016 . My fellow Co-Chairs were Dr. Larry F. Hodges and Dr. Zachary Wartell . I am now serving as a Program Chair for the IEEE Virtual Reality Conference 2017 . Teaching: Fall 2016: Cpsc 4110/6110 Virtual Reality Systems (on blackboard) Spring 2016: Cpsc 4140/6140 Human Computer Interaction (on blackboard) Cpsc 8810 Measurement and Evaluation of HCC Systems (on blackboard) 2016 Sabarish V. Babu During my undergraduate years, I also played competitive badminton at the national level here in the US. Please click on the picture on the left for a link to the video of a short program that Channel 9 Charlotte covered on my competitive badminton career. diff --git a/src/data/compiled_bios/2840.txt b/src/data/compiled_bios/2840.txt new file mode 100644 index 0000000000..562e729cc4 --- /dev/null +++ b/src/data/compiled_bios/2840.txt @@ -0,0 +1 @@ +Richard Mann Associate Professor Department of Computer Science University of Waterloo mannr@uwaterloo.ca DC2510 (Davis Center) Voice: (519) 888-4567 x33006 Fax: (519) 885-1208 Driving directions to Waterloo Campus map Talks CS Undergraduate Club Talk Date: Monday Nov 5, 2018, 5:30pm. Location: MC4063. POSTPONED. I have included the Abstract and Slides below for interested students. I hope to present material soon. Abstract (text), Slides (PDF). CS Undergraduate Club Talk Title: From Microphones to Speakers and Everything In Between Date: Tuesday July 17, 2018, 6pm Location: MC4041 Slides: (PDF) Teaching Student Project (W18): "Elevator Pitch". A video game App for voice / singing training. App Store: https://itunes.apple.com/app/id1370102089, Play Store: https://play.google.com/store/apps/details?id=com.waznop.ElevatorPitch Current Course (W19): CS489/698 - Computational Audio (W19). This is an "Advanced Topics" course, offered at both the undergraduate and graduate level. Undergraduates (CS489): Students will work on a course project, of their own choosing. Students may work individually or in groups. Grades: 50% assignments, 50% project. NO EXAM. Graduates (CS698): Graduate students have the same assignments, but will be expected to undertake a individual, research oriented project, to write up the result as a research paper, and to present to the class. Grades: 35% assignments, 15% presentation, 50% report. Undergraduate Information Session, Monday October 16, 2017, at 3:30-5:00 pm, in DC 1302. (PDF) (Video). Lectures: Tuesday and Thursday, 10:00--11:20, MC4058. First lecture Tues Jan 8, 2019 Tutorials: Monday 10:30--11:20, MC2034. First tutorial, Week #2, Mon Jan 14, 2019. Notes, Announcements, and Assignments: Piazza (link). Previous Courses CS489/698 - Computational Sound (third offering, W18). CS489/698 - Computational Sound (second offering, W17). CS489/698 - Computational Sound (first offering, W16). CS484/684 - Computational Vision (F11, W13) CS886 - Perception as Bayesian Inference (W10) CS787 - Computational Vision (W03, F04, W07) CS486/686 - Introduction to Artificial Intelligence (S02) CS498Q/698Q - Computational Vision (W00, W01, W06) CS251 - Digital Design and Architecture (W01, W02, W04, W05, F05, F06, F10, W11, F12) CS134 - Principles of Computer Science (S00) Research interests Computational vision (high-level vision, motion understanding, event recognition) Computational hearing (acoustics, speech, music, signal processing) Perception and Learning Artificial Intelligence Computer Audio: Electrical and Acoustic Measurement Industrial Wind Turbine Noise (audible and infra sound) Publications Open Source Software for Electrical and Acoustic measurement. Joint work with John Vanderkooy (Physics), Audio Research Group. John Vanderkooy and Richard Mann, An Open-Source Electroacoustic Measurement System Part 1: Theory, Practicalities & Acoustic Examples. Linear Audio, Volume 13, 1 April 2017. LinearAudio.net. Paper (PDF) M-files & readme for part1 Richard Mann and John Vanderkooy, An Open-Source Electroacoustic Measurement System Part 2: Sound Card Setup, System Characterization and a few more Examples. Linear Audio, Volume 13, 1 April 2017. LinearAudio,net. Paper (PDF) M-files & readme for part 2. Wind Turbines diff --git a/src/data/compiled_bios/2841.txt b/src/data/compiled_bios/2841.txt new file mode 100644 index 0000000000..6bb72346fc --- /dev/null +++ b/src/data/compiled_bios/2841.txt @@ -0,0 +1 @@ +Stephen Mann's Contact Info Toggle navigation CGL Computer Science uWaterloo Contact About Research Teaching DC 2106, (519) 888-4567 x34526 David R. Cheriton School of Computer Science University of Waterloo 200 University Ave W Waterloo, Ontario N2L 3G1 CANADA FAX: (519) 885-1208 smann@uwaterloo.ca - I filter my email. My email often gets tagged as spam, so if you want a reply from me, be sure to add me to your white list/contact/whatever-your-mailer-calls-it and to check your spam folder for a few days. My Exchange calendar. Information on applying to graduate studies in CGL. Note: I rarely reply to direct inquiries about graduate school from non-Canadian students that I do not know. University of Waterloo Daily Bulletin Waterloo Weather University of Waterloo | School of Computer Science | 200 University Ave. W. | Waterloo, Ontario Canada | N2L 3G1 | 519.888.4567x34548 | www.cgl.uwaterloo.ca diff --git a/src/data/compiled_bios/2842.txt b/src/data/compiled_bios/2842.txt new file mode 100644 index 0000000000..74ca4002e2 --- /dev/null +++ b/src/data/compiled_bios/2842.txt @@ -0,0 +1 @@ +Ian McKillop Search CS at Waterloo uwaterloo.ca Skip to the content of the web site. About Me Teaching Research Grad Students International Contacting Me Prof Ian McKillop I work in the fields of information systems assurance and information management. I began my academic career as an accounting professor in UW's School of Accountancy where my interest in the design, use, and audit of financial systems was nurtured. I moved to a major business school for 10 years and then returned to UW in 2004 to take up the JW Graham Chair in Health Information Systems. The chair was named after Professor J Wes Graham who was one of the founding members in 1967 of the Department of Applied Analysis and Computer Science at UW - the academic unit that grew to become known today as the David R Cheriton School of Computer Science. Today, I am jointly appointed to both Computer Science in the Faculty of Mathematics and the Public Health Program in the Faculty of Applied Health Sciences. I also contribute to Waterloo's Centre for Business, Entrepreneurship and Technology. Research My research program is in the field of information management with a particular focus on data quality, security and performance management issues found in high-availability, mission-critical systems. Such systems are commonly used in banking, as well as in healthcare which leads to my interest in the broad field of health informatics. You can read more about my research and my research team here. Teaching My background is in the area of financial information systems, and therefore I enjoy teaching courses in our program designed for students interested in exploring how information systems are used by business. I also teach courses in health informatics. You can read more about my teaching here. Other Roles I serve as the Executive Director, University Health Research for the University of Waterloo. In this administrative role I help to co-ordinate the university's campus-wide health research portfolio on behalf of the Office of Research. In addition to my UW affiliation, I am an adjunct professor with the Dept of Health Policy, Management and Evaluation in the Faculty of Medicine at the University of Toronto. Ian McKillop, PhD David R Cheriton School of Computer Science University of Waterloo 200 University Avenue West Waterloo, Ontario, Canada N2L 3G1 519 888 4567 x37127 ian[at]uwaterloo[dot]ca http://www.uwaterloo.ca diff --git a/src/data/compiled_bios/2843.txt b/src/data/compiled_bios/2843.txt new file mode 100644 index 0000000000..42e02a7dd5 --- /dev/null +++ b/src/data/compiled_bios/2843.txt @@ -0,0 +1 @@ +Ian Munro J. Ian Munro FACM, FRSC University Professor and Canada Research Chair in Algorithm Design Cheriton School of Computer Science University of Waterloo Waterloo, Ontario Canada, N2L 3G1 519 888-4567 x34433 (voice) 519 885 1208 (fax) University Professor in the Cheriton School of Computer Science at the University of Waterloo, member of the Algorithms and Complexity Group and also affiliated with the Data Systems Group. Research Interests data structures, particularly fast and space efficient structures the design, analysis and implementation of algorithms database systems and data warehousing, particularly efficiency issues More specific information is given in my research overview. For a list of my publications see my page on either DBLP (chronological) or Google Scholar (by reference frequency). For a list of students who have completed PhDs (22 and counting) under my supervision, see my entry of Math Genealogy Recent Classes CS 466/666 Algorithm Design and Analysis CS 240 Data Structures and Data Management CS 840 Topics in Data Structures Winter 2016 A brief biography is available. Slides from some recent talks Succinct Data Structures Implicit Data Structures with O(1) moves Intro to Succinct Data Structures Succinct Permutations et al Rambo PQ Succinct Indices Gray Codes Succinct Labelled Planar Graphs Succinct Data Structures: Methods and Lower Bounds ... Mike66 diff --git a/src/data/compiled_bios/2844.txt b/src/data/compiled_bios/2844.txt new file mode 100644 index 0000000000..231dc43acd --- /dev/null +++ b/src/data/compiled_bios/2844.txt @@ -0,0 +1 @@ +Mei Nagappan's Website Home Research Publications Students Teaching Service Personal Welcome to Meiyappan (also known as Mei) Nagappan's home page. He is currently an Assistant Professor in the David R. Cheriton School of Computer Science at the University of Waterloo. Previously he was an Assistant Professor at the Software Engineeering department of Rochester Institute of Technology. Before that he was a Post Doctoral Fellow with Dr.Ahmed Hassan at Software Analysis and Intelligence Lab (SAIL) in the School of Computing at Queens University. He completed his PhD student under Dr. Mladen Vouk in the Computer Science Department of North Carolina State University. His research interests are in 'Big Data' Empirical Software Engineering by mining Ultra Large repositories of software to identify patterns and relationships in large ecosystems. He believes that as SE researchers we should look at deriving solutions that encompass the various stakeholders of software systems, and not only software developers. Hence, for the past 7 years he has been working on SE research that goes beyond just impacting S/W developers and testers. He has worked on using SE research to address the concerns of S/W operators, build engineers, and project managers, in addition to addressing the concerns of S/W developers, testers and SE researchers. You can find his latest CV here. Mei Nagappan Assistant Professor Address: David R. Cheriton School of Computer Science University of Waterloo 200, University Avenue West Waterloo, Ontario Canada N2L 3G1 Email: mei.nagappan at uwaterloo dot ca Elsewhere Twitter Blog template built for Bootstrap by @mdo. Back to top diff --git a/src/data/compiled_bios/2845.txt b/src/data/compiled_bios/2845.txt new file mode 100644 index 0000000000..96539ca726 --- /dev/null +++ b/src/data/compiled_bios/2845.txt @@ -0,0 +1 @@ +Naomi Nishimura Naomi Nishimura Algorithms and Complexity Group David R. Cheriton School of Computer Science University of Waterloo Research My main area of interest is in algorithms, especially for graph problems, specializing in parameterized algorithms, reconfiguration problems, and the confluence of the two. I recently co-organized a Banff International Research Station workshop on Combinatorial Reconfiguration. Slides from a recent overview talk on reconfiguration, given at CanaDAM 2017, can be found here. A survey on reconfiguration that I wrote for a special issue can be found here. An excellent bibliography of papers relating to reconfiguration can be found here. To join our new mailing list for researchers interested in reconfiguration, please go to the following page: For more information on reconfiguration, please visit the new web portal. A list of my papers can be found at the Computer Science bibliography site. Teaching My current teaching project involves the development and redevelopment of non-major courses, including CS 231 and CS 234. I am involved in on-going teaching for the Master of Mathematics for Teachers. Past projects have included teaching a course for the African Institute of Mathematical Sciences. and developing courseware for the Faculty of Mathematics' Centre for Education in Mathematics and Computing. Administration I am currently the advisor for coursework Master's students. Please note that my role is limited to providing advice on selection of courses; for logistics and bureaucracy, please contact the CS Graduate Office instead. Please consult the FAQ for answers to questions you may have. Contact information School of Computer Science University of Waterloo 200 University Ave. West Waterloo, Ontario Canada N2L 3G1 E-mail: nishi at uwaterloo dot ca Office: DC 2344 Voice: 519-888-4567 x34835 Fax: 519-885-1208 diff --git a/src/data/compiled_bios/2846.txt b/src/data/compiled_bios/2846.txt new file mode 100644 index 0000000000..d4860cd2e0 --- /dev/null +++ b/src/data/compiled_bios/2846.txt @@ -0,0 +1 @@ +Home My research aim is to uncover mechanisms that underlie the computational and organizational aspects of the brain. For example, what function does feedback play in our brains, and how do our expectations influence our perceptions? I study these questions by modelling neural networks. In a previous life, I did research in image processing and medical imaging, and taught a 4th-year course on medical image processing. Jeff Orchard Director of Computational Mathematics Associate Professor Cheriton School of Computer Science Biology (adjunct) Applied Mathematics (adjunct) News Best Paper Award ICONIP 2017 Guangzhou, China Combatting Adversarial Inputs using a Predictive-Estimator Network Accepted Paper IEEE Trans SMC - Systems Investigating the Evolution of a Neural Neuroplasticity Learning Rule Is the Mind a Machine? The Veritas Forum Debate with Matt Dickerson Accepted Paper IEEE Trans Neural Networks and Learning Systems Symmetric Predictive Estimator for Biologically Plausible Neural Learning Accepted Paper IET Microwaves, Antennas and Propagation Millimeter-wave Multi-view Planar Near-field Scattering Tomography System Hour of Code Partners in Research Live Event: Why Code? Accepted Paper ICCI*CC Cognitive Computing Style Memory: Making a Classifier Network Generative diff --git a/src/data/compiled_bios/2847.txt b/src/data/compiled_bios/2847.txt new file mode 100644 index 0000000000..a8b08b8c47 --- /dev/null +++ b/src/data/compiled_bios/2847.txt @@ -0,0 +1 @@ +M. Tamer zsu skip to: page content | links on this page | site navigation | footer (site information) M. Tamer zsu General InformationMy Calendar Honours & Awards Research Teaching Vita Publications Students, Staff, Visitors Current Activities Selected Past Activities Personal University Professor Data Systems Research Group David R. Cheriton School of Computer Science University of Waterloo Waterloo, Ontario N2L 3G1 Canada Office: DC 3350 tamer.ozsu AT uwaterloo.ca +1 (519) 888-4043 Administrative Coordinator: Yibei Zhao y263zhao AT uwaterloo.ca +1 (519) 888-4567 x. 38217 My Calendar General Information Undergraduate internships: I am not going to be admitting any international interns for the foreseeable future. Please do not write to me about internship as I will not be able to respond to individual emails. Graduate students: I am not going to be admitting any more graduate student next academic year. I am full right now. Driving directions to Waterloo Campus map; Please park in the M lot. Honours and Awards University Professor, University of Waterloo (2018) Fellow, American Association for the Advancement of Science (AAAS) (2017) Fellow, Royal Society of Canada (2016) Elected Member, The Science Academy, Turkey (2013) Fellow, Association for Computing Machinery (ACM) (2006) Fellow, Institute of Electrical and Electronics Engineers (IEEE) (2010) University Research Chair, University of Waterloo (2004-2011) ACM Distinguished Lecturer (2007-present) IBM CAS Canada Research Faculty Fellow (2010-present) Cheriton Faculty Fellow, Faculty of Mathematics, University of Waterloo (2013-2016; 2018-2021) Natural Sciences and Engineering Research Council (NSERC) of Canada Discovery Accelerator Award (2013) University of Waterloo Outstanding Performance Award (2004, 2009, 2014) Ohio State University College of Engineering Distinguished Alumni Award (2008) ACM SIGMOD Contributions Award (2006) Faculty Fellow, Faculty of Mathematics, University of Waterloo (2000-2003) McCalla Professor, University of Alberta (1993-1994) Sigma Xi Scientific Research Society Member (1994-present) NATO Ph.D. scholarship through TBITAKThe Scientific and Technical Research Council of Turkey (19791983) Paper Awards Test-of-Time Award, ACM SIGMOD (2015) for paper L. Chen, M. T. zsu, and V. Oria. "Robust and Fast Similarity Search for Moving Object Trajectories," In Proc. ACM SIGMOD International Conference on Management of Data, 2005, pages 491-502. Best Paper Award, 44th International Conference on Very Large Data Bases (2018) for paper S. Sahu, A. Mhedhbi, S. Salihoglu, J. Lin and M. T. zsu. "The Ubiquity of Large Graphs and Surprising Challenges of Graph Processing", Proc. VLDB Endowment, 11(4): 420-431, 2018. Best Paper Award, 23rd International Conference on Database Systems for Advanced Applications (2018) for paper P. Peng, L. Zou, M. T. zsu, and D. Zhao. "Multi-Query optimization in Federated RDF Systems," In Proc. 23rd International Conference on Database Systems for Advanced Applications, 2018, pages 745765. Best Paper Award Honorable Mention, 29th International Conference on Data Engineering (2013) for paper C. Balkesen, J. Teubner, G. Alonso, and M. T. zsu. "Main-Memory Hash Joins on Multi-Core CPUs: Tuning to the Underlying Hardware," In Proc. 29th IEEE International Conference on Data Engineering, 2013, pages 362373. Research My research is on data management. Although I have done work in basic database technologies such as query processing, transaction processing, and database integration, the main focus of my research follows two threads: (1) application of database technology to non-traditional data types, and (2) distributed & parallel data management. For more information click here. >>top Teaching Current and Upcoming CS 848 - Advanced Topics in Databases: Big Data Management Platforms (Winter 2019) Past Graduate Courses CS 638 - Principles of Data Management and Use (Fall 2015, Fall 2016, Fall 2018) CS 755 - System and Network Architectures and Implementation (Fall 2013) CS 655 - System and Network Architectures and Implementation (Spring 2012, Fall 2012) - Same course as above; this is the previous number. CS 742 - Distributed and Parallel Database Systems (Winter 2013); Versions of this course were taught at ETH Zrich (Winter 2006) and at National University of Singapore (Fall 2010) CS 748T - Distributed Database Systems (Winter 2001) CS 848 - Modern Database Systems (Winter 2015) CS 856 - Web Data Management (Fall 2002, Winter 2005) CS 856 - Internet-Scale Distributed Data Management (Fall 2005) Past Undergraduate Courses CS 348 - Introduction to Database Management (Fall 2012, Winter 2018) CS 338 - Computer Applications in Business: Databases (Fall 2013) CS 448/648 - Introduction to Database Management (Winter 2001) CS 454/654 - Distributed Systems (Winter 2002, Fall 2002, Winter 2004, Spring 2004, Fall 2004) >>top Vita Short biography Full CV (PDF Format) My academic geneology Some statistics My Erds number My h-index Scholar index Google scholar >>top Publications Publications grouped by type Publications grouped by topic >>top Students, Research Staff and Visitors Current (Some pictures) Former >>top Current Activities Books Principles of Distributed Database Systems, 3rd edition, Springer, 2011, ISBN 978-1-4419-8833-1. E-book version. Supplementary material (Presentation slides, JPEG figures, and solutions to some of the exercises. All of these, except for solutions to exercises, are also available from Springer site. You can also order it from Amazon, Barnes & Noble, Chapters-Indigo. Chinese translation by Prof. Li-Zhu Zhou published by Tsinghua University Press. Encyclopedia of Database Systems, Springer, 2009, ISBN 978-0-387-35544-3. See the DBLP page. ACM Books, Editor-in-Chief Follow @ACMBooks Springer Book Series on Web Information Systems Engineering and Internet Technologies, Editorial Board Member Journals ACM Transactions on Internet Technologies, Associate Editor World Wide Web Journal, Editorial Board Member Frontiers of Computer Science, Editorial Board Member International Journal of Next-Generation Computing, Advisory Board Member Conferences PC Member, SIGMOD 2018- ACM SIGMOD International Conference on Management of Data, Houston, USA, June 10-15, 2018. General Co-Chair, 35th IEEE International Conference on Data Engineering, Macau, China, 8-12 April 2019. PVLDB Review Committee Member, Volume 12 (45th International Conference on Very Large Data Bases), Los Angeles, USA, August 26-30, 2019. Board Memberships Board Member, CS-Can/Info-Can (2017-2019) Academic Advisory Committee Member, Hong Kong University of Science and Technology, School of Engineering (2017-2020) Technical Advisory Board Member, Tsinghua University National Engineering Laboratory for Big Data Software (2017present) Advisory Board Member, Hong Kong University of Science and Technology, Big Data Institute (2017-present) Technical Expert Advisory Committee Member, City University of Hong Kong, Multimedia Software Engineering Research Center (2014-1019) Proceedings of VLDB Advisory Board Member, (2014-present) >>top Selected Past Activities Morgan & Claypool Synthesis Lectures on Data Management, Series Editor -- DBLP page for the series. Chair, ACM Special Interest Group on Management of Data (SIGMOD), 2001-2005. Trustee, VLDB Endowment, 1996-2002. ACM Publications Board (2003--2017) International Advisory Board Member, National Institute of Informatics, Japan (2011-2018) Advisory Board Chair, Hong Kong University of Science and Technology, Department of Computer Science and Engineering (2014-2017) Coordinating Editor-in-Chief, The VLDB Journal, 2001-2005 (Co-EIC: 1997-2001). Associate Editor, ACM Computing Surveys (2005-2009). Springer Book Series on Advanced Information & Knowledge Processing, Editorial Board Member (2002 - 2013) Information Technology and Management, Editorial Board Member (2000-2013) CRA Board of Directors, Canadian Association of Computer Science (CACS) Representative (2010-2013) >>top Personal Stuff & Hobbies Some pictures: Aklan, Allison-Umut-Emma, Nuran, Nuran, Nuran-Shina, Umut-Shina, Shina, Emma I collect pens. For a partial list of the pens I own, click here. Some of these are for sale. Click here to find out which ones. For a listing of important pen sites on the Web click here. >>top Countries Visited visited 29 states (12.8%)Create your own visited map of The World or Brazil travel guide for Android Visitors to this page come from: diff --git a/src/data/compiled_bios/2848.txt b/src/data/compiled_bios/2848.txt new file mode 100644 index 0000000000..c9f94af55b --- /dev/null +++ b/src/data/compiled_bios/2848.txt @@ -0,0 +1 @@ +Pascal Poupart's Homepage Close Home: Contact Research: Interests Publications Software Students Biography Teaching: CS885 Spring18 CS489 Winter18 CS486 Spring17 CS489 Winter17 CS475 Spring16 CS485 Winter16 CS486 Spring15 CS486 Winter14 CS886 Fall13 CS886 Spring13 CS486 Fall12 CS786 Spring12 CS485 Winter12 CS486 Winter12 CS475 Fall11 CS475 Fall10 CS886 Fall10 CS489 Winter10 CS886 Winter10 CS486 Fall09 CS886 Winter09 CS486 Fall08 CS886 Fall07 CS472 Fall07 CS472 Fall06 CS486 Spring06 CS886 Fall05 CS486 Spring05 CS886 Winter05 Pascal Poupart's Homepage Pascal Poupart Full Professor Artificial Intelligence, Machine Learning, Health Informatics David R. Cheriton School of Computer Science University of Waterloo 200 University Avenue West Waterloo, Ontario Canada N2L 3G1 Office: DC2514 Email: ppoupart [at] uwaterloo [dot] ca Telephone: +1 (519) 888-4567 x 36239 Fax: +1 (519) 885-1208 diff --git a/src/data/compiled_bios/2849.txt b/src/data/compiled_bios/2849.txt new file mode 100644 index 0000000000..f31d407a19 --- /dev/null +++ b/src/data/compiled_bios/2849.txt @@ -0,0 +1 @@ +Prabhakar Ragde's Web space Prabhakar Ragde I'm a Professor in the School of Computer Science within the Faculty of Mathematics at the University of Waterloo. My work includes research (design and analysis of algorithms, computational complexity, theory and practice of functional programming languages), teaching, and committee service. You may be interested in some flneries, online writings based on recent creative course offerings. I exhibit occasional flashes of interest in travel, food, wine, coffee, music, books, film, photography, theatre, art, and architecture, though not for long enough to develop any expertise. This site is text-positive and defiantly retro (hand-crafted HTML 1.0). This is what I remember. Cheriton School of Computer Science, University of Waterloo, Waterloo, Ontario, Canada N2L 3G1 plragde at uwaterloo.ca diff --git a/src/data/compiled_bios/285.txt b/src/data/compiled_bios/285.txt new file mode 100644 index 0000000000..c1b39a9b15 --- /dev/null +++ b/src/data/compiled_bios/285.txt @@ -0,0 +1 @@ + Home Research Publications Teaching Awards Students Service Long Cheng Long Cheng, Ph.D. Assistant Professor School of Computing Clemson University Clemson, SC 29634 Email: lcheng2@clemson.edu Office: McAdams 219 Google Scholar I am currently looking for motivated students to work with me on IoT/CPS security research. Please contact me if you are interested. News [Call for paper] IEEE iThings 2019 , July 14-17, 2019, Atlanta, GA [Call for paper] Elsevier Physical Communication (IF: 1.522), Special Issue on Big Data Driven Millimeter Wave Systems . Submission deadline: September 1, 2019. Moved to Clemson University Fall 2018 Bio I received my second PhD in Computer Science (with a focus on cyber security) from Virginia Tech USA in 2018, and the first PhD (with a focus on wireless networking) from Beijing University of Posts and Telecommunications China in 2012. During the period from 02/2012 to 08/2015, I worked as a Research Fellow at Singapore University of Technology and Design , and then a Research Scientist at A*STAR Institute for Infocomm Research (IR) , Singapore. From 06/2009 to 10/2011, I was a research assistant at Hong Kong Polytechnic University and University of Texas at Arlington , respectively. I received the Best Paper Award from IEEE Wireless Communications and Networking Conference (WCNC) in 2013, the Erasmus Mundus Scholar Award in 2014, and the Pratt Fellowship at Virginia Tech in 2017. Research Interests System and Software Security Network Security Security and Privacy in Cyber-Physical Systems (CPS) and Internet-of-Things (IoT) Mobile Computing and Wireless Networks Teaching CPSC 3600 Network and Network Programming (Spring 2019) CPSC 8810 Selected Topics: Software Security (Fall 2018) Selected Publications ( More ) Conference Long Cheng , Ke Tian, Danfeng Yao. Enforcing Cyber-Physical Execution Semantics to Defend Against Data- Oriented Attacks, in Annual Computer Security Applications Conference ( ACSAC ). Puerto Rico, US. Dec. 2017. (Acceptance rate: 19.7%). Sazzadur Rahaman, Long Cheng , Danfeng Yao, He Li, and Jung-Min Park. Provably Secure Anonymous-yet- Accountable Crowdsensing with Scalable Sublinear Revocation, in The 17th Privacy Enhancing Technologies Symposium ( PETS ). Minneapolis, MN. Jul. 2017 (Acceptance rate: 21.7%) Long Cheng , Yu Gu, Jianwei Niu, Ting Zhu, Cong Liu, Qingquan Zhang, Tian He. Taming Collisions for Delay Reduction in Low-Duty-Cycle Wireless Sensor Networks, In IEEE International Conference on Computer Communications ( INFOCOM ), San Francisco, CA, USA, 2016. (Acceptance rate: 18%) Long Cheng , Jianwei Niu, Yu Gu, Tian He and Qingquan Zhang, Energ Efficient Statistical Delay Guarantee for Low-Duty-Cycle Wireless Sensor Networks, in IEEE International Conference on Sensing, Communication, and Networking ( SECON ), Seattle, WA, USA, 2015. (Acceptance rate: 27%) Long Cheng , Linghe Kong, Chengwen Luo, Jianwei Niu, Yu Gu, Wenbo He. Short: False Data Detection and Correction Framework for Participatory Sensing, in IEEE/ACM International Symposium on Quality of Service ( IWQoS ), Portland, Oregon, USA, 2015 Junghyun Jun, Long Cheng , Liang He, Yu Gu, Ting Zhu, Exploiting Sender-Based Link Correlation in Wireless Sensor Networks, IEEE International Conference on Network Protocols ( ICNP ), North Carolina, USA, (Oct 2014). (Acceptance rate: 20%) Long Cheng , Yu Gu, Tian He and Jianwei Niu, Dynamic Switching-based Reliable Flooding in Low-Duty-Cycle Wireless Sensor Networks, In IEEE International Conference on Computer Communications ( INFOCOM ), Turin, Italy, April, 2013. (Acceptance rate: 17%) Jianwei Niu, Long Cheng *, Yu Gu, Junghyun Jun and Qingquan Zhang, Minimum-Delay and Energy-E icient Flooding Tree in Asynchronous Low-Duty-Cycle Wireless Sensor Networks, In IEEE Wireless Communications and Networking Conference (WCNC13), Shanghai, China, April, 2013. Best Paper Award (*Corresponding author) JunghyunJun, Yu Gu, Long Cheng , Banghui Lu, Jun Sun, Ting Zhu and Jianwei Niu, Social-Loc:ImprovingIndoor Localization with Social Sensing, In ACM Conference on Embedded Networked Sensor System ( SenSys ), Rome, Italy, November, 2013. (Acceptance rate: 17%) Journal Long Cheng , Fang Liu, Danfeng (Daphne) Yao, Enterprise Data Breach: Causes, Challenges, Prevention, and Future Directions, in WIREs Data Mining and Knowledge Discovery , 2017 Long Cheng , Jianwei Niu, Chengwen Luo, Linghe Kong, Zhiwei Zhao, Yu Gu, Towards Minimum-Delay and Energy-Efficient Flooding in Low-Duty-Cycle Wireless Sensor Networks, in Elsevier Computer Networks , 2017 Long Cheng , Dinil Mon Divakaran, Aloysius Ang, Wee Yong Lim, Vrizlynn L. L. Thing, FACT: A Framework for Authentication in Cloud-based IP Traceback, in IEEE Transactions on Information Forensics and Security ( TIFS ), 2017 Long Cheng , Jianwei Niu, Linghe Kong, Chengwen Luo, Yu Gu, Wenbo He, Sajal K. Das, Compressive Sensing based Data Quality Improvement for Crowd-Sensing Applications, in Journal of Network and Computer Applications ( JNCA ), 2017 Chengwen Luo, Long Cheng *, Mun Choon Chan, Yu Gu, Self-bootstrapping Fine-grained Passive Indoor Localization Using WiFi Monitors, in IEEE Transactions on Mobile Computing ( TMC ), 2016. (*Corresponding author) Long Cheng , Jianwei Niu, Yu Gu, Tian He. Achieving Efficient Reliable Flooding in Low-Duty-Cycle Wireless Sensor Networks, in IEEE/ACM Transactions on Networking ( ToN ), 2016. Long Cheng , Dinil Mon Divakaran, Wee Yong Lim, Vrizlynn L. L. Thing, Opportunistic Piggyback Marking for IP Traceback, in IEEE Transactions on Information Forensics and Security ( TIFS ), 2016. Long Cheng , Jianwei Niu, Mario Di Francesco, Sajal K. Das, and Yu Gu, Seamless Streaming Data Delivery in Cluster-based Wireless Sensor Networks with Mobile Elements, in IEEE Systems Journal ( IJS ), 2016 Long Cheng , Jianwei Niu, Jiannong Cao and Sajal K. Das and Yu Gu, QoS Aware Geographic Opportunistic Routing in Wireless Sensor Networks, in IEEE Transactions on Parallel and Distributed Systems ( TPDS ), 25(7), 1864-1875, 2014. Jianwei Niu, Long Cheng *, Yu Gu, Lei Shu and Sajal K. Das, R3E: Reliable Reactive Routing Enhancement for Wireless Sensor Networks, in IEEE Transaction on Industrial Informatics ( TII ), 10(1), 784-794, 2014. (*Corresponding author) Yu Gu, Long Cheng *, Jianwei Niu, Tian He, and David Hung-Chang Du, Achieving Asymmetric Sensing Coverage for Duty Cycled Wireless Sensor Networks, in IEEE Transactions on Parallel and Distributed Systems ( TPDS ), 25(12), 3076-3087, 2014. (*Corresponding author) diff --git a/src/data/compiled_bios/2850.txt b/src/data/compiled_bios/2850.txt new file mode 100644 index 0000000000..16508b5878 --- /dev/null +++ b/src/data/compiled_bios/2850.txt @@ -0,0 +1 @@ +Gregor Richards | Cheriton School of Computer Science | University of Waterloo Google Tag Manager Skip to main Skip to footer University of Waterloo Admissions About Waterloo Faculties & academics Offices & services Support Waterloo Search Menu THIS SITE THIS SITECheriton School of Computer Science home Our people About the Cheriton School of Computer ScienceShow sub-menu About the Cheriton School of Computer Science Back Administrative structureShow sub-menu Administrative structure Back School committees School committee membership 2018-19 Faculty Fellowships and Awards Quick facts Visit us Contact us Message from the Director OutreachShow sub-menu Outreach Back CS4U Day Resources ResearchShow sub-menu Research Back Awards | Achievements Research areas Technical reportsShow sub-menu Technical reports Back 2015 technical reports 2016 technical reports 2017 technical reports 2018 technical reports News EventsShow sub-menu Events Back Faculty-wide WebNotices Mental Health and Diversity Distinguished Lecture Series SCS Colloquium Series Women in Computer ScienceShow sub-menu Women in Computer Science Back Events and activities for WiCS students Events and activities for girls offered by WiCSShow sub-menu Events and activities for girls offered by WiCS Back GIRLsmarts4tech Technovation WaterlooShow sub-menu Technovation Waterloo Back Program information Registration FAQ Regional Pitch Event Contact us Sponsors Get involved Women in Computer Science Circles Sexism Response Workshop Technical Interview Workshops WiCS Panel on Meaningful Careers in Computing Big CSters Mentorship Grace Hopper WiCS Orientation Resources and informationShow sub-menu Resources and information Back Scholarships | bursaries Organizations Articles Statistics Student profiles Careers WICS Undergraduate CommitteeShow sub-menu WICS Undergraduate Committee Back Code of Conduct Mailing Lists Sponsorship Volunteer Resources and servicesShow sub-menu Resources and services Back Computer Science Computing Facility (CSCF) Instructional Support Group (ISG)Show sub-menu Instructional Support Group (ISG) Back ISC supportShow sub-menu ISC support Back Course allocation Exam viewing Information for instructorsShow sub-menu Information for instructors Back ISG services to instructors Sessional instructor basics ISG guidelines for sessionals Working with TAs Dealing with cheating cases Dealing with INC Software applications ISA/IA/TA guideShow sub-menu ISA/IA/TA guide Back Duty guidelines Training TA duties and expectations Facilities EmploymentShow sub-menu Employment Back ISA positionsShow sub-menu ISA positions Back Application form ISA duties Why be an ISA? 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He is a member of the Programming Languages Group in Waterloo, and was previously a member of the Secure Software Systems group at Purdue University. His research focuses on the intersection of virtual machines and dynamic languages, and in particular JavaScript, the programming language of the web. He was a major contributor to Oracle's TruffleJS implementation of JavaScript, as well as the author of JavaScript research tools JSBench and TracingSafari. In addition, he has worked on gradually-typed programming languages, and making the gradual typing model amenable to highly-dynamic languages such as JavaScript. His prior research focused on dynamic software metrics, so as to have a verifiable basis for future expansion. Degrees and awards BSc (Portland State University, 2008), PhD (Purdue University, 2014) Awards Halstead Award for significant contributions in software metrics (2011) Industrial and sabbatical experience Professor Richards has worked as a research or development associate with Apple, Oracle Labs, Microsoft Research and IBM Research. Representative publications Flexible Access Control for JavaScript. OOPSLA 2013. Gregor Richards, Christian Hammer, Francesco Zappa Nardelli, Suresh Jagannathan and Jan Vitek. One VM to Rule Them All. Onward! 2013. Thomas Wuerthinger, Christian Wimmer, Andreas Woess, Lukas Stadler, Gilles Duboscq, Christian Humer, Gregor Richards, Doug Simon and Mario Wolczko. Eval Begone!: Automated Removal of Eval from JavaScript Programs. OOPSLA 2012. Fadi Meawad, Gregor Richards and Jan Vitek. Automated Construction of JavaScript Benchmarks. OOPSLA 2011. Gregor Richards, Andreas Gal, Brendan Eich and Jan Vitek. The Eval that Men Do A Large-scale Study of the Use of Eval in JavaScript Applications. ECOOP 2011. Gregor Richards, Christian Hammer, Brian Burg and Jan Vitek. An Analysis of the Dynamic Behavior of JavaScript Programs. PLDI 2010. Gregor Richards, Sylvain Lebresne, Brian Burg and Jan Vitek. Affiliation:University of WaterlooContact information:Gregor Richards Profiles by type Professor (87)Undergraduate student (1)Graduate student (8)Faculty (8)Researcher (1)Teacher (1)Staff (1) TOP Share Contact Computer Science Work for Computer Science Visit Computer Science David R. Cheriton School of Computer Science University of Waterloo Waterloo, Ontario Canada N2L 3G1 Phone: 519-888-4567 ext. 33293 Fax: 519-885-1208 University of Waterloo University of Waterloo 43.471468 -80.544205 200 University Avenue West Waterloo, ON, Canada N2L 3G1 +1 519 888 4567 Contact Waterloo Maps & Directions WatSAFE Accessibility Privacy Copyright Media Careers Feedback @uwaterloo social directory Log in diff --git a/src/data/compiled_bios/2851.txt b/src/data/compiled_bios/2851.txt new file mode 100644 index 0000000000..dce248aaac --- /dev/null +++ b/src/data/compiled_bios/2851.txt @@ -0,0 +1 @@ +Ken Salem Toggle navigation Home Publications Selected By Date Journal Only Conference/Workshop Only Teaching Undergraduate Graduate Students Current Students Former Students Contact Ken Salem Professor Cheriton School of Computer Science University of Waterloo EMail: first.last@uwaterloo.ca Phone: +1-519-888-4567 ext. 33485 Office: DC3512 (Davis Centre) Publications Teaching Students Contact diff --git a/src/data/compiled_bios/2852.txt b/src/data/compiled_bios/2852.txt new file mode 100644 index 0000000000..a85445f46d --- /dev/null +++ b/src/data/compiled_bios/2852.txt @@ -0,0 +1 @@ +ric Schost ric Schost Associate professor Cheriton School of Computer Science University Waterloo eschost@uwaterloo.ca or eric.schost@gmail.com Publications Computing minimal interpolation bases, with C.-P. Jeannerod, V. Neiger and G. Villard. Journal of Symbolic Computation, to appear PDF. On the evaluation of some sparse polynomials, with D. Nogneng. Mathematics of Computation, to appear PDF. A nearly optimal algorithm for deciding connectivity queries in smooth and bounded real algebraic sets, with M. Safey El Din. Journal of the ACM 63(6):1-48, 2017. PDF Explicit isogenies in quadratic time in any characteristic, with C. Hugounenq, L. De Feo and J. Plut. LMS Journal of Computation and Mathematics 19 (A), pp. 267-282, 2016 PDF. Computation of the similarity class of the p-curvature, with X. Caruso and A. Bostan Proceedings ISSAC'16, pp. 111-118, 2016. PDF. Fast computation of minimal interpolation bases in Popov form for arbitrary shifts, with C.-P. Jeannerod, V. Neiger and G. Villard. Proceedings ISSAC'16: 295-302, 2016 PDF. A fast algorithm for computing the truncated resultant, with G. Moroz Proceedings ISSAC'16, pp. 341-348, 2016. PDF. A quasi-optimal Monte Carlo algorithm for the symbolic solution of polynomial systems in Z[X,Y], with E. Mehrabi. Journal of Complexity 34:78-128, 2016. PDF. A simple and fast online power series multiplication and its analysis, with R. Lebreton Journal of Symbolic Computation, 72: 231-251, 2016. PDF. A quadratically convergent algorithm for structured low-rank approximation, with P.-J. Spaenlehauer Foundations of Computational Mathematics, 16(2): 457-492, 2016. PDF. Algorithms for finite field arithmetic. Proceedings ISSAC'15, pp. 7-15, 2015 (invited). PDF. A fast algorithm for computing the p-curvature, with X. Caruso and A. Bostan Proceedings ISSAC'15, pp. 69-76, 2015. PDF. Faster algorithms for multivariate interpolation with multiplicities and simultaneous polynomial approximations, with M. Chowdhury, C.-P. Jeannerod, V. Neiger and G. Villard. IEEE Transactions on Information Theory, 61(5):2370-2387, 2015. PDF. A standard basis free algorithm for computing the tangent cones of a space curve , with P. Alvandi, M. Moreno Maza and P. Vrbik. Proceedings CASC'15, pp. 45-60, 2015. PDF. Computing in degree 2^k-extensions of finite fields of odd characteristic, with J. Doliskani Design, codes and cryptography 74: 559-569, 2015. PDF. Doing algebraic geometry with the RegularChains library , with P. Alvandi, C. Chen, S. Marcus, M. Moreno Maza and P. Vrbik. ICMS'14, pp. 472-479, Springer, 2014. PDF. A fast algorithm for computing the characteristic polynomial of the p-curvature, with X. Caruso and A. Bostan Proceedings ISSAC'14, pp. 59-66, ACM, 2014. PDF. Fast arithmetic for the algebraic closure of finite fields, with L. De Feo, J. Doliskani Proceedings ISSAC'14, pp. 122-129, ACM, 2014. PDF. On the complexity of solving bivariate systems: the case of non-singular solutions, with R. Lebreton, E. Mehrabi Proceedings ISSAC'13, pp. 251-258, ACM, 2013. PDF. Structured FFT and TFT: symmetric and lattice polynomials, with J. van der Hoeven, R. Lebreton Proceedings ISSAC'13, pp. 355-362, ACM, 2013. PDF. Fast algorithms for l-adic towers over finite fields, with L. De Feo, J. Doliskani Proceedings ISSAC'13, pp. 165-172, ACM, 2013. PDF. A baby step-giant step roadmap algorithm for general algebraic sets, with S. Basu, M.-F. Roy, M. Safey El Din Foundations of Computational Mathematics, 14: 1117-1172, 2014. PDF. Algorithms for the universal decomposition algebra, with R. Lebreton Proceedings ISSAC'12, pp. 234-241, ACM, 2012. PDF. Power series solutions of singular (q)-differential equations, with A. Bostan, M. F. I. Chowdhury, R. Lebreton and B. Salvy Proceedings ISSAC'12, pp. 107-114, ACM, 2012. PDF. Inversion modulo zero-dimensional regular chains, with M. Moreno Maza and P. Vrbik Proceedings CASC'12, pp. 224-235, Springer, 2012. PDF. On the complexity of computing with zero-dimensional triangular sets, with A. Poteaux Journal of Symbolic Computation 50: 110-138, 2013. PDF. Modular composition modulo triangular sets and applications, with A. Poteaux Computational Complexity 22: 463-516, 2013. PDF. Taking roots over high extensions of finite fields, with J. Doliskani Mathematics of Computation 83: 435-446, 2014. PDF. Genus 2 point counting over prime fields, with P. Gaudry Journal of Symbolic Computation 47 (4): 368-400, 2012. PDF. Multipoint evaluation in higher dimensions, with J. van der Hoeven Applicable Algebra in Engineering, Communication and Computing 24 (1): 37-52, 2013. PDF. Bit-size estimates for triangular sets in positive dimension, with A. Kadri and X. Dahan Journal of Complexity 28(1), 109-135, 2012. PDF. Optimization techniques for small matrix multiplication, with C.-. Drevet and Md. N. Islam Theoretical Computer Science 412(22), 2219-2236, 2011. PDF. Transalpyne: a language for automatic transposition, with L. De Feo Communications in Computer Algebra 44 (3/4), 2010. PDF. The mopdn library: bringing fast polynomial arithmetic into Maple, with X. Li and M. Moreno Maza and R. Rasheed Journal of Symbolic Computation 46 (7), 841-858, 2011. PDF. Homotopy methods for multiplication modulo triangular sets, with A. Bostan, M. F. I. Chowdhury, J. van der Hoeven. Journal of Symbolic Computation 46 (12), 1378-1402, 2011. PDF. Analytical solution of the tooling/workpiece contact interface shape during a flow forming operation, with M. J. Roy, D. M. Maijera, R. J. Klassen, J. T. Wood. Journal of Materials Processing Technology 210 (14), 1976-1985, 2010. PDF. A baby steps/giant steps probabilistic algorithm for computing roadmaps in smooth bounded real hypersurface, with M. Safey El Din. Discrete and Computational Geometry 45 (1), 181-220, 2011. PDF. On the geometry of polar varieties, with B. Bank, M. Giusti, J. Heintz, M. Safey El Din. Applicable Algebra in Engineering, Communication and Computing 21(1), 33-83, 2010. PDF. Code generation for polynomial multiplication, with L. Ding. Proceedings CASC'09, pp. 66-78, Springer, 2009. PDF. Interpolation of polynomials given by straight-line programs, with S. Garg. Theoretical Computer Science, 410(27-29), 2659-2662, 2009. PDF. A simple and fast algorithm for computing exponentials of power series, with A. Bostan. Information Processing Letters 109(13), 754-756, 2009. PDF. Fast algorithms for differential equations in positive characteristic, with A. Bostan. Proceedings ISSAC'09, pp. 47-54, ACM Press, 2009. PDF. Fast arithmetics in Artin-Schreier towers over finite fields, with L. De Feo Proceedings ISSAC'09, pp. 127-134, ACM Press, 2009. PDF. Journal version, Journal of Symbolic Computation, to appear. PDF. Evaluation properties of invariant polynomials, with X. Dahan, J. Wu. Journal of Symbolic Computation, 44(11): 1592-1604. PDF. Trinomial bases and Chinese remaindering for modular polynomial multiplication, with A. Hariri. Proceedings SAC'08, pp. 361-372, Springer, 2009. PDF. High-performance symbolic computation in a hybrid compiled-interpreted programming environment, with X. Li, M. Moreno Maza, R. Rasheed. Proceedings ICCSA'08, pp. 331-341, IEEE, 2008. PDF. Fast conversion algorithms for orthogonal polynomials, with A. Bostan, B. Salvy. Linear Algebra and its Applications 432(1): 249-258, 2010. PDF. Power series composition and change of basis, with A. Bostan, B. Salvy. Proceedings ISSAC'08, pp. 269-276, ACM Press, 2008. PDF. Change of order for regular chains in positive dimension, with X. Dahan, X. Jin, M. Moreno Maza. Theoretical Computer Science 392(1-3): 37-65, 2008. PDF, PS. Fast algorithms for computing isogenies between elliptic curves, with A. Bostan, F. Morain, B. Salvy. Mathematics of Computation 77: 1755-1778, 2008. PDF, PS. Modular equations for hyperelliptic curves, with P. Gaudry. Mathematics of Computation 74: 429-454, 2007. PS, PDF, DVI. The modular equation for 3-torsion defined there. Differential equations for algebraic functions, with A. Bostan, F. Chyzak, G. Lecerf, B. Salvy. Proceedings ISSAC'07, pp. 25-32, ACM Press, 2007. PDF. Computing the eigenvalue in the Schoof-Elkies-Atkin algorithm using Abelian lifts, with F. Morain, P. Mihailescu. Proceedings ISSAC'07, pp 285-292, ACM Press, 2007. PDF, PS. Fast Arithmetic for triangular sets: from theory to practice, with X. Li, M. Moreno Maza. Proceedings ISSAC'07, pp. 269-276, ACM Press 2007. PDF, PS. Journal version, Journal of Symbolic Computation 44(7):891-907 PDF. Solving Toeplitz- and Vandermonde-like linear systems with large displacement rank, with A. Bostan, C.-P. Jeannerod. Proceedings ISSAC'07, pp. 33-40, ACM Press, 2007. PDF, PS. Solving structured linear systems with large displacement rank, journal version. Theoretical Computer Science 407(1-3): 155-18, 2008. PDF, PS. Fast computation of power series solutions of systems of differential equations, with A. Bostan, F. Chyzak, F. Ollivier, B. Salvy, A. Sedoglavic. Proceedings SODA'07, pp. 1012-1021, SIAM, 2007. PDF, PS. Change of order for bivariate triangular sets, with C. Pascal. Proceedings ISSAC'06, pp. 277-284, ACM Press, 2006. PDF, PS. Implementation techniques for fast polynomial arithmetic in a high-level programming environment, with A. Filatei, M. Moreno Maza, X. Li. Proceedings ISSAC'06, pp. 93-100, ACM Press, 2006. PDF, PS. Primary decomposition of zero-dimensional ideals: Putting Monico's algorithm into practice (extended abstract), with M. Moreno Maza, W. Zhou. Transgressive Computing. PDF, PS. On the complexity of the D5 principle, with X. Dahan, M. Moreno Maza, Y. Xie. Transgressive Computing. PDF, PS. There is no reverse derivation mode for discrete derivatives. Theoretical Computer Science 347(1-2): 299-305, 2005. PDF, PS. Lifting techniques for triangular decompositions, with X. Dahan, M. Moreno Maza, W. Wu, Y. Xie. Proceedings ISSAC'05, pp. 108-115, ACM Press, 2005. PDF. Multivariate power series multiplication. Proceedings ISSAC'05, pp. 293-300, ACM Press, 2005. PDF, PS. Evaluation properties of symmetric polynomials, with P. Gaudry et N. Thiry. International Journal of Algebra and Computation 16(3): 505-524, 2006. PDF, PS. On the complexities of multipoint evaluation and interpolation, with A. Bostan. Theoretical Computer Science 329(1-3): 223-235, 2004. PDF, PS. A low-memory parallel version of Matsuo, Chao and Tsujii's algorithm, with P. Gaudry. Proceedings ANTS 6, pp. 208-222, Springer, 2006. PDF, PS. Sharp estimates for triangular sets, with X. Dahan. Proceedings ISSAC'04, pp. 103-110, ACM Press, 2004. PDF, PS. Complexity Issues in Bivariate Polynomial Factorization, with A. Bostan, G. Lecerf, B. Salvy, B. Wiebelt. Proceedings ISSAC'04, pp. 42-49, ACM Press, 2004. PDF, PS. Fast Computation of Special Resultants, with A. Bostan, P. Flajolet, B. Salvy. Journal of Symbolic Computation 41(1): 1-29, 2006. PDF, PS. Polynomial evaluation and interpolation on special sets of points, with A. Bostan. Journal of Complexity 21(4): 420-446, 2005. PDF, PS. Construction of Secure Random Curves of Genus 2 over Prime Fields, with P. Gaudry. Proceedings Eurocrypt'04, pp. 239-256, Springer, 2004. PDF, PS. Properness Defects of Projections and Computation of One Point in Each Connected Component of a Real Algebraic Set, with M. Safey El Din. Discrete and Computational Geometry 32(3): 417-430, 2004. PS, PDF, DVI. Linear recurrences with polynomial coefficients and computation of the Cartier-Manin operator on hyperelliptic curves with A. Bostan, P. Gaudry. Proceedings Fq'7, pp. 40-58, Springer, 2003. PS, PDF, DVI. Linear recurrences with polynomial coefficients and application to integer factorization and Cartier-Manin operator with A. Bostan, P. Gaudry. SIAM Journal on Computing 36(6): 1777-1806, 2007. PS, PDF. Polar varieties and computation of one point in each connected component of a smooth real algebraic set, with M. Safey El Din. Proceedings ISSAC'03, pp. 224-231, ACM Press, 2003. PS, PDF, DVI. Tellegen's principle into practice, with A. Bostan, G. Lecerf. Proceedings ISSAC'03, pp. 37-44, ACM Press, 2003. PS, PDF, DVI. Degree bounds and lifting techniques for triangular sets. Proceedings ISSAC'02, pp. 238-245, ACM Press, 2002. PS, PDF, DVI. Complexity results for triangular sets, journal version. Journal of Symbolic Computation 36(3-4): 555-594, 2003. PS, PDF, DVI. Fast Algorithms for Zero-Dimensional Polynomial Systems Using Duality, with A. Bostan, B. Salvy. Applicable Algebra in Engineering, Communication and Computing 14(4): 239 - 272, 2003. PS, PDF, DVI. Uniform bounds for the number of rational points of families of curves of genus 2, with P. Gaudry, L. Kulesz, G. Matera. Proceedings WAIT'2001, pp 109-119, Anales JAIIO, 2001. PS, PDF, DVI. Uniform bounds for the number of rational points of families of curves of genus 2, long version, with L. Kulesz, G. Matera. Journal of Number Theory 108(2): 241-267. PS, PDF, DVI. Fast Multivariate Power Series Multiplication in Characteristic Zero, with G. Lecerf. SADIO Electronic Journal 5(1), 2003. PS, PDF, DVI. Solving the Birkhoff Interpolation Problem via the Critical Point Method: an experimental study, with F. Rouillier, M. Safey El Din. Proceedings ADG'2000 (LNAI 2061). PS, PDF, DVI. On the invariants of the quotients of the Jacobian of a curve of genus 2, with P. Gaudry. Proceedings AAECC 2001 (LNCS 2227), p 373-386. PS, PDF, DVI. Computing Parametric Geometric Resolutions. Applicable Algebra in Engineering, Communication and Computing 13(5): 349 - 393, 2003. PS, PDF, DVI. Solving some overdetermined polynomial systems, with M. Giusti. Proceedings ISSAC'99, pp. 1-8, ACM Press, 1999. PS, PDF, DVI. Ph. D. Thesis. PS. Some known results on polynomial factorization over towers of field extensions, with G. Renault. PDF. diff --git a/src/data/compiled_bios/2853.txt b/src/data/compiled_bios/2853.txt new file mode 100644 index 0000000000..a3d4dbbe24 --- /dev/null +++ b/src/data/compiled_bios/2853.txt @@ -0,0 +1 @@ +Home page of Jeffrey O. Shallit Jeffrey O. Shallit Professor School of Computer Science University of Waterloo Waterloo, Ontario N2L 3G1 Canada Office: Davis Centre 3134 Telephone: (519) 888-4567 x 34804 Fax: (519) 885-1208 E-mail: shallit at uwaterloo . ca GPS: 43.4727 , -80.5424 Areas of interest: Combinatorics on words, formal languages and automata theory (especially connections with number theory), algorithmic number theory (primality testing, factoring, etc.), history of mathematics and computer science, ethical use of computers, debunking pseudoscience and pseudomathematics. See my rating at ratemyprofessors.com. Here I am on google scholar citations. Are you interested in graduate study in theoretical computer science? Please read this. Professional Activities The combinatorics on words wiki (send me e-mail to get an account to edit it) Co-editor of The Role of Theory in Computer Science: Essays Dedicated to Janusz Brzozowski, World Scientific Press, June 2017 My new book, Neverending Fractions, co-written with Jon Borwein, Wadim Zudilin, and the late Alf van der Poorten (1943-2010) ACM Distinguished Scientist, 2008. A Second Course in Formal Languages and Automata Theory, Cambridge University Press, September 2008. Automatic Sequences: Theory, Applications, Generalizations, Cambridge University Press, July 2003. Algorithmic Number Theory published by MIT Press, August 1996. Editor-in-chief, Journal of Integer Sequences Center for Applied Cryptographic Research Courses taught by JOS CS 462, Winter 2019 CS 860: Patterns in Words, Winter 2019 Curriculum vitae of JOS (not updated since 2002, sorry!) Walnut software written by Hamoon Mousavi Selected papers of JOS Recent talks by JOS Book reviews by JOS Published and unpublished essays by JOS Co-Authors of JOS Graduate students supervised by JOS Library catalogues Links to other CS and math-related sites This week's Math/CS talks at Waterloo Upcoming talks in our Algorithms and Complexity group CS Theory Event Aggregator Unprofessional Activities My blog, Recursivity Family Friends Quotations Letters to the editor by JOS Community Editorial Board JOS's favorite animal My Elvis number Travel Photographs Other interesting web pages Urban Legends Debunked Today's weather in Kitchener-Waterloo Disclaimer: Nothing on this page should be taken to represent the official views of the University of Waterloo. diff --git a/src/data/compiled_bios/2854.txt b/src/data/compiled_bios/2854.txt new file mode 100644 index 0000000000..475c2f27da --- /dev/null +++ b/src/data/compiled_bios/2854.txt @@ -0,0 +1 @@ +Doug Stinson's Home Page Contact Information Biographical Information Teaching Students and Post-docs Recent Talks Preprints Published Papers Books Coauthors Editorial Work Curriculum Vitae Doug Stinson's Home Page I am a University Professor in the David R. Cheriton School of Computer Science at the University of Waterloo and a Fellow of the Royal Society of Canada. I am affiliated with the CrySP (Cryptography, Security and Privacy) research group, and with the CACR (Centre for Applied Cryptographic Research). I am also the president of the Institute of Combinatorics and its Applications, serving a term from 2016-2019. Cryptography Theory and Practice, Fourth Edition, which was co-authored by Maura Paterson and me, has recently been published by CRC Press, in September, 2018. CRC Press named me their October 2018 Mathematician of the Month. Click the link for a Q&A with me. Here is my Google Scholar page. I am teaching two sections of CS 341, Algorithms, in the Winter 2019 term. diff --git a/src/data/compiled_bios/2855.txt b/src/data/compiled_bios/2855.txt new file mode 100644 index 0000000000..ae1f1c61c4 --- /dev/null +++ b/src/data/compiled_bios/2855.txt @@ -0,0 +1 @@ +David Toman's Home Page David Toman Associate Professor at D.R.Cheriton School of Computer Science, Faculty of Mathematics, University of Waterloo Research: my (little dated) CV, and my statements of research and teaching the list of my papers in PostScript/PDF, or the list of my papers at the DB&LP server. Current Classes: Computer Applications in Business: Databases Topics in Data Bases CS848 Past Classes: Computer Applications in Business: Databases (old version) Topics in Data Bases CS848 Principles of Programming Languages CS442 Introduction to Data Management CS348 Topics in Data Bases CS848 e-mail: david@uwaterloo.ca s-mail: Cheriton School of Comp. Sci, U. of Waterloo, Waterloo, Ontario, Canada N2L 3G1 diff --git a/src/data/compiled_bios/2856.txt b/src/data/compiled_bios/2856.txt new file mode 100644 index 0000000000..ffec6ce945 --- /dev/null +++ b/src/data/compiled_bios/2856.txt @@ -0,0 +1 @@ +Richard Trefler's Home Page Richard Trefler Associate Professor David R. Cheriton School of Computer Science University of Waterloo Email: trefler at cs.uwaterloo.ca Telephone: +1 519 885 1211 ext. 37508 Teaching CS 360 Winter 2018 --- under construction. CS 360 Winter 2018 Research My research focuses on the application of automated reasoning tools, such as model checkers, to the analysis of reactive systems, including: computer hardware and software systems; embedded systems; and routing and communication protocols. Of particular interest are compositional reasoning and abstraction techniques for coping with the state explosion problem in model checking. Additionally, I am interested in: visual notations for describing systems and their specifications; automata on infinite objects; temporal, modal, and description logics; Internet-based routing and communication protocols; and analysis of parameterized systems. Selected Refereed Publications Parameterized Compositional Model Checking Kedar S. Namjoshi, Richard J. Trefler. TACAS 2016: 589-606. Loop Freedom in AODVv2 Kedar S. Namjoshi, Richard J. Trefler. FORTE 2015: 98-112. Analysis of Dynamic Process Networks Kedar S. Namjoshi, Richard J. Trefler. TACAS 2015: 164-178. Uncovering Symmetries in Irregular Process Networks Kedar S. Namjoshi, Richard J. Trefler. VMCAI 2013: 496-514. Explaining counterexamples using causality Ilan Beer, Shoham Ben-David, Hana Chockler, Avigail Orni, Richard J. Trefler. Formal Methods in System Design 40(1): 20-40 (2012) Reachability Problems in Piecewise FIFO Systems Naghmeh Ghafari, Arie Gurfinkel, Nils Klarlund, Richard J. Trefler. ACM Trans. Comput. Log. 13(1): 7:1-7:33 (2012) Local Symmetry and Compositional Verification Kedar S. Namjoshi, Richard J. Trefler. VMCAI 2012: 348-362. Model Checking Using Description Logic Shoham Ben-David, Richard Trefler and Grant Weddell. To appear in the Journal of Logic and Computation, 28 pages. On The Completeness of Compositional Reasoning Methods Kedar Namjoshi and Richard Trefler. To appear in ACM Transactions on Computational Logic, 20 pages. A Semantic Characterization of Safety and Liveness for Branching Time Logics Panagiotis Manolios and Richard Trefler. To appear in Distributed Computing, 21 pages. Algorithmic Analysis of Piecewise FIFO Systems Naghmeh Ghafari, Arie Gurfinkel, Nils Klarlund, and Richard Trefler. Formal Methods in Computer Aided Design, Nov. 2007, IEEE, 8 pages. Bounded Model Checking with Description Logic Reasoning Shoham Ben-David, Richard Trefler, and Grant Weddell. Automated Reasoning with Analytic Tableaux and Related Methods (TABLEAUX 2007), Lecture Notes in Computer Science, July 2007, 14 pages. Modal vs. Propositional Reasoning for Model Checking with Description Logic Shoham Ben-David, Richard Trefler, and Grant Weddell. 20th International Workshop on Description Logics (DL'07), CEUR proceedings, June 2007, 8 pages. Reducing Model Checking of the Few to the One E. Allen Emerson, Richard J. Trefler, and Thomas Wahl. 8th International Conference on Formal Engineering Methods, ICFEM 2006, Lecture Notes in Computer Science 4260, 94-113. Model Checking The Basic Modalities of CTL with Description Logic Shoham Ben-David, Richard Trefler, and Grant Weddell. 19th International Workshop on Description Logics (DL'06), 2006, CEUR Proceedings vol. 189, 8 pages. Formal Modeling of Communication Protocols by Graph Transformation Zarrin Langari and Richard J. Trefler. Formal Methods 2006, 14th International Symposium on Formal Methods, Lecture Notes in Computer Science 4085, 348-363. Piecewise FIFO Channels Are Analyzable Naghmeh Ghafari and Richard J. Trefler. Proceedings of the International Conference on Verification, Model Checking, and Abstract Interpretation 2006, Lecture Notes in Computer Science 3855, 252-266. Regularity Results for FIFO Channels Nis Klarlund and Richard Trefler. Automated Verifications of Critical Systems, September, 2004. Electronic Notes in Theoretical Computer Science, Vol. 128, number 6, Springer-Verlag, 2005, 15 pages. A Lattice Theoretic Characterization of Safety and Liveness Panagiotis Manolios and Richard Trefler. ACM Symposium on Principles of Distributed Computing, 2003, page 325-333. Abstract Patterns of Compositional Reasoning Nina Amla, E. Allen Emerson, Kedar Namjoshi and Richard Trefler Conference on Concurrency Theory, Lecture Notes in Computer Science 2761, 2003, pages 431-445. Visual Specifications for Modular Reasoning About Asynchronous Systems Nina Amla, E. Allen Emerson, Kedar Namjoshi and Richard Trefler. Received the Best Paper award at the 22nd IFIP FORTE Conference, Nov. 2002, pages 226-243. Modular Timing Diagrams Nina Amla, E. Allen Emerson, Kedar Namjoshi, and Richard J. Trefler. Proceedings of the Cadence Technical Conference, 2002, 5 pages. Safety and Liveness in Branching Time Panagiotis Manolios and Richard Trefler. 16th Annual IEEE Symposium on Logic in Computer Science, IEEE, June, 2001, pages 366-374. ECLIPSE Feature Logic Analysis Gregory Bond, Franjo Ivancic, Nils Klarlund and Richard Trefler. Second IP Telephony Workshop, April 2001, 8 pages. Assume-Guarantee Based Compositional Reasoning for Timing Diagrams Nina Amla, E. Allen Emerson, Kedar Namjoshi and Richard Trefler. Tools and Algorithms for the Correctness and Analysis of Systems Conference, part of ETAPS, LNCS 2031, April 2001, pages 265-279. On The Completeness of Compositional Reasoning Kedar Namjoshi and Richard Trefler. 12th International Conference on Computer Aided Verification, LNCS 1855, July, 2000, pages 435-449. Virtual Symmetry Reduction E. Allen Emerson, John Havlicek and Richard Trefler. 15th Annual IEEE Symposium on Logic in Computer Science, June, 2000, pages 121-131. From Asymmetry to Full Symmetry: New Techniques for Symmetry Reduction in Model Checking E. Allen Emerson and Richard Trefler. CHARME99: 10th IFIP WG10.5 Advanced Research Working Conference on Correct Hardware Design and Verification Methods, Springer 1999, pages 142-156. Parametric Quantitative Temporal Reasoning E. Allen Emerson and Richard Trefler. 14th Annual IEEE Symposium on Logic in Computer Science, IEEE, 1999, pages 336-343. Model Checking Real-Time Properties of Symmetric Systems E. Allen Emerson and Richard Trefler. 23rd International Symposium on the Mathematical Foundations of Computer Science, LNCS 1450, 1998, pages 427-436. Generalized Quantitative Temporal Reasoning: An Automata-Theoretic Approach E. Allen Emerson and Richard Trefler. TAPSOFT'97: Theory and Practice of Software Development Springer-Verlag, LNCS 1214, 1997, pages 189-200. Current Students Zarrin Langari Former Students Shoham Ben-David, Ph.D. 2009. Naghmeh Ghafari, Ph.D. 2009. Jane D. Thi Tang, M. Math. 2006. Contact information Postal Address School of Computer Science University of Waterloo 200 University Avenue West Waterloo, Ontario Canada N2L 3G1 Email trefler at cs.uwaterloo.ca Telephone Office: +1 519 885-1211 ext 37508 Fax: (519) 885-1208 Office DC 2336 diff --git a/src/data/compiled_bios/2857.txt b/src/data/compiled_bios/2857.txt new file mode 100644 index 0000000000..24ba90a9e9 --- /dev/null +++ b/src/data/compiled_bios/2857.txt @@ -0,0 +1 @@ +Peter van Beek | Home Peter van Beek Cheriton School of Computer ScienceUniversity of Waterloo Home Publications Research Service Teaching Contact I am a Professor in the Cheriton School of Computer Science at the University of Waterloo. I received my PhD in 1990 from the University of Waterloo and at that time joined the faculty at the University of Alberta. Ten years later I returned to Waterloo. My research interests span the field of Artificial Intelligence with a focus on representation and reasoning, constraint programming, constraint satisfaction, and applied machine learning. I have co-authored seven research papers which have won awards, and I have served on the program committees of many conferences and on the editorial boards of several journals. From 2005-2009, I served as Editor-in-Chief of the journal Constraints, a forum for research in constraint programming and constraint satisfaction and optimization. In 2008, I was named a Fellow of the Association for Artificial Intelligence. Conference activities Senior PC, IJCAI-2019 PC member, AAAI-2019 PC member, CP-2019 Recent talks Machine Learning of Bayesian Networks, 31st Canadian Conference on Artificial Intelligence, 2018 (slides). Handbook of CP The aim of this handbook is to capture the full breadth and depth of the constraint programming field and to be encyclopedic in its scope and coverage. Copyright Peter van Beek | Design by Andreas Viklund diff --git a/src/data/compiled_bios/2858.txt b/src/data/compiled_bios/2858.txt new file mode 100644 index 0000000000..bc973f2b18 --- /dev/null +++ b/src/data/compiled_bios/2858.txt @@ -0,0 +1 @@ +Olga Veksler research publications book chapters journals conferences PhD thesis code vision group bio CV courses diff --git a/src/data/compiled_bios/2859.txt b/src/data/compiled_bios/2859.txt new file mode 100644 index 0000000000..8d93b6cad7 --- /dev/null +++ b/src/data/compiled_bios/2859.txt @@ -0,0 +1 @@ +daniel vogel / nonsequitoria daniel vogel / nonsequitoria researchanimationart cv dan at nonsequitoria dot com diff --git a/src/data/compiled_bios/286.txt b/src/data/compiled_bios/286.txt new file mode 100644 index 0000000000..08240ec799 --- /dev/null +++ b/src/data/compiled_bios/286.txt @@ -0,0 +1 @@ + Skip to main content Menu Home Admissions Campus Life Academics Visit Outreach Research About Apply Now Make a Gift President Home Biography Meet the First Lady President's Advisory Board Presidents Forum for Inclusive Excellence Presidents Leadership Institute Presidential Speaking Request Contacts Follow @ClemsonPrez President's Blog President's Initiatives Commission on the Status of Black Faculty and Staff Commission on Status of Women LGBTQ Commission Related Links About Academics Athletics ClemsonForward Clemson Forever Media Relations Outreach Research University Org Chart Clemson's 15th President, James P. Clements Welcome letter from President Clements: It is an exciting time to be at Clemson University ranked among top 25 national public universities for the 9th year. The Will to Lead campaign surpassed the billion-dollar goal, and achieved the distinction as the largest fundraising effort in the state of South Carolina. Applications for admission and the quality of the student body are at an all-time high. A major campus development initiative will add millions of square feet and position the university for the next 50 years. And, we have completed the roadmap for our next strategic plan ClemsonForward. These are all signs that the Clemson Family is stronger than ever. But as a father, I have learned that it takes a dedicated effort to nurture a family and help it grow. As an institution, we nurture the Clemson Family through our commitment to certain overarching priorities academic quality and innovation, individual student success, public service and economic outreach, and our core values of integrity, honesty and respect. Clemson University has accomplished amazing things in the past, and I believe the future is even brighter. The experience of being a part of the Clemson Family is unmatched, and I look forward to sharing it with all of you for years to come. Joe Sherman, Class of 1934, captured the essence of Clemson when he wrote, Theres something in these hills where the Blue Ridge yawns its greatness. I can assure you that whatever that something is it will stay with you and at this great University forever. Sincerely, James P. Jim Clements, Ph.D. Home Biography Meet the First Lady President's Advisory Board Presidents Forum for Inclusive Excellence Presidents Leadership Institute Presidential Speaking Request Contacts Follow @ClemsonPrez President's Blog President's Initiatives Commission on the Status of Black Faculty and Staff Commission on Status of Women LGBTQ Commission Related Links About Academics Athletics ClemsonForward Clemson Forever Media Relations Outreach Research University Org Chart Home Admissions Campus Life Academics Visit Outreach Research About Apply To Clemson Undergraduate Graduate Professional Online Education Employment Opportunities Policy/Terms of Use Text Version Web Accessibility Ethics/Safety Hotline Privacy Policy Site Information Copyright 2019 Clemson University Clemson, South Carolina 29634 864-656-3311 Contact Clemson Stories for the Clemson Family Clemson University on Facebook Clemson University on Twitter Clemson University on Google+ Clemson University on LinkedIn Clemson University on YouTube Clemson University on Flickr Clemson University on Instagram Home Admissions Campus Life Academics Visit Outreach Research About Apply Now Make a Gift diff --git a/src/data/compiled_bios/2860.txt b/src/data/compiled_bios/2860.txt new file mode 100644 index 0000000000..2c384c352d --- /dev/null +++ b/src/data/compiled_bios/2860.txt @@ -0,0 +1 @@ +Justin's Homepage Justin W.L. Wan Canada Research Chair in Scientific Computing Full Professor, BSc (Hong Kong, 92), MA (UCLA, 95), PhD (UCLA, 98). I am a faculty member of the SciCom group in the David R. Cheriton School of Computer Science at University of Waterloo. I received my PhD degree from the Applied Math Program in the Department of Mathematics, UCLA. My PhD advisor was Prof. Tony Chan. After graduation, I joined the Scientific Computing/Computational Mathematics (SCCM) Program, Stanford University as a Forsythe Fellow (acting assistant professor). My postdoctoral advisors were Prof. Gene Golub, and Prof. Andrew Stuart. Research Interests My research is generally in the area of scientific computing. My research interests include numerical solutions of partial differential equations, iterative methods, and multigrid preconditioning with applications in medical image registration, cell image segmentation, tracking of cell images, computational finance, and parallel computation on high performance platforms. Recent Projects Publications Contact Information Justin W. L. Wan CS Office: DC 3625 CM Office: DC 3147 Tel: (519) 888 4567 x34468 Fax: (519) 885 1208 David R. Cheriton School of Computer Science 200 University Avenue West University of Waterloo Waterloo, Ontario N2L 3G1 Canada e-mail: diff --git a/src/data/compiled_bios/2861.txt b/src/data/compiled_bios/2861.txt new file mode 100644 index 0000000000..5af82bf47d --- /dev/null +++ b/src/data/compiled_bios/2861.txt @@ -0,0 +1 @@ +John Watrous's Home Page John Watrous Professor David R. Cheriton School of Computer Science University of Waterloo Senior Fellow, Canadian Institute for Advanced Research Member, Institute for Quantum Computing Affiliate Member, Perimeter Institute for Theoretical Physics Research My research focuses on the theory of quantum information and its applications to algorithms, complexity theory, and cryptography. Specific topics that I am currently interested in include quantum interactive proof systems, quantum information theory, and the theory of entanglement. I am also interested in algorithms, complexity theory, and theoretical computer science more generally. Papers The Theory of Quantum Information Recent/Current Teaching CS 766/QIC 820 Theory of Quantum Information (Fall 2017) CS 360 Introduction to the Theory of Computing (Spring 2017) If you are looking for my lecture notes, you can find them on this page. Supervision Current graduate students: Abel Molina Ben Lovitz Julia Maristany Soumik Ghosh Current postdocs: Matt Coudron Mark Girard Information for prospective students and postdocs Contact Postal Address School of Computer Science University of Waterloo 200 University Avenue West Waterloo, Ontario Canada N2L 3G1 Office QNC 3312 (519) 888-4567 ext 35370 Email My last name at uwaterloo.ca diff --git a/src/data/compiled_bios/2862.txt b/src/data/compiled_bios/2862.txt new file mode 100644 index 0000000000..16b02a53c9 --- /dev/null +++ b/src/data/compiled_bios/2862.txt @@ -0,0 +1 @@ +Stephen M. Watt Stephen M. Watt Stephen M. Watt, PhD, DSc h.c., ICD.D Dean, Faculty of Mathematics Professor, David R. Cheriton School of Computer Science MC 5209, 200 University Ave W University of Waterloo Waterloo Ontario, Canada N2L 3G1 Phone: +1 519 888-4480 Fax: +1 519 888-4302 E-mail: smwatt at uwaterloo.ca What's on my mind. New results in bio-computing! Instructions to get a small carbon footprint. Where I've been. Math genealogy. Erds number. Activities Research Publications Students Courses Awards Introduction: Introduction for new grad students. General talks: Computer Algebra's Dirty Little Secret. The Mathematics of Mathematical Handwriting Recognition. Dependent Types and Categorical Programming Computing, Symbols and Math [Video] Leading Flying Objects The Limits of Computation Tools for Online Technical Collaboration. ORCCA The Ontario Research Center for Computer Algebra MathML @ ORCCA -- Tools for MathML and conversions to/from TeX and OpenMath MONET @ ORCCA -- Mathematical Web Services PenMath @ ORCCA -- Pen-Based Interfaces for Mathematics Aldor A categorical programming language. Maple The system for symbolic mathematical computation. MathML The W3C standard for math on the internet. InkML The W3C standard for digital ink. diff --git a/src/data/compiled_bios/2863.txt b/src/data/compiled_bios/2863.txt new file mode 100644 index 0000000000..01c1be18e9 --- /dev/null +++ b/src/data/compiled_bios/2863.txt @@ -0,0 +1 @@ +Grant Weddell Home page of Grant Weddell Associate Professor in the David R. Cheriton School of Computer Science at the University of Waterloo. DC 3346 (519) 888-4567 x34463 gweddell@uwaterloo.ca David R. Cheriton School of Computer Science University of Waterloo Waterloo, ON N2L 3G1 CANADA Research Interests Database technology for precompiled real-time applications. This includes problems in large scale schema management; information clustering, encoding and indexing; dependency theory and constraint systems for database schema; and view update and query optimization for heterogenous and possibly legacy data sources, particularly main memory databases. Teaching The course pages for CS338 and CS348, introductory database courses, may be found here and here. The course page for CS446, a software engineering course focusing on the architecture and detailed design of large software systems, may be found here. The course page for CS848, an advanced database course information integration, may also be found here. diff --git a/src/data/compiled_bios/2864.txt b/src/data/compiled_bios/2864.txt new file mode 100644 index 0000000000..07b8b73f92 --- /dev/null +++ b/src/data/compiled_bios/2864.txt @@ -0,0 +1 @@ +Bernard Wong Bernard Wong Associate Professor Davis Center Room 3514 David R. Cheriton School of Computer Science University of Waterloo 200 University Ave. West Waterloo, ON N2L 3G1, Canada E-mail: bernard AT uwaterloo DOT ca Phone: (519) 888-4567 x31301 My research interests span distributed systems and networking, with particular emphasis on problems involving decentralized services, self-organizing networks, and distributed storage systems. Prospective students: I am currently seeking motivated graduate students who enjoy building large systems. More information about the School's graduate program requirements can be found here. Teaching Fall 2016 CS 854 Consensus Protocols Winter 2016 CS 350 Operating Systems Fall 2015 CS 350 Operating Systems Winter 2015 CS 854 Cloud Computing and Software-Defined Networking Fall 2014 CS 350 Operating Systems Spring 2014 CS 854 Cloud Computing and Software-Defined Networking Fall and Winter 2013 CS 343 Concurrent and Parallel Programming Fall 2012 CS 854 Cloud Computing & Management This is a graduate course on current research topics in cloud computing and management. It is offered as a "paper-chase" course: we read and discuss important papers on different subtopics in cloud computing and management each week. Students must also individually complete a final project that explores a new idea in one of the sub-topics covered in the course. The goal is that by the end of the course, the final project can serve as a starting point for a workshop paper submission. Winter 2012 CS 454/654 Distributed Systems Project Webpages CrossStitch An Efficient Transaction Processing Framework for Geo-Distributed Systems. EdgeCloud A Hybrid Edge-Cloud Architecture for Reducing On-Demand Gaming Latency. Nessie A Client-Driven, RDMA-Enabled Storage System. Microfuge Performance Isolation in Cloud-based Storage Systems. HyperDex A Distributed, Searchable Key-Value Store for Cloud Computing. Cubit Approximate Matching for Peer-to-Peer Overlays. Octant A Comprehensive Framework for Geolocalization on the Internet. Meridian A Lightweight Approach to Network Positioning. Publications SpecRPC: A General Framework for Performing Speculative Remote Procedure Calls. Xinan Yan, Arturo Pie Joa, Bernard Wong, Benjamin Cassell, Tyler Szepesi, Malek Naouach, and Disney Lam. To appear in Proceedings of the ACM/IFIP/USENIX International Middleware Conference (Middleware), Rennes, France, December 2018. RaMP: A Lightweight RDMA Abstraction for Loosely Coupled Applications. Babar Naveed Memon, Xiayue Charles Lin, Arshia Mufti, Arthur Scott Wesley, Tim Brecht, Kenneth Salem, Bernard Wong, and Benjamin Cassell. In Proceedings of the USENIX Workshop on Hot Topics in Cloud Computing (HotCloud), Boston, MA, July 2018. PDF Carousel: Low-Latency Transaction Processing for Globally-Distributed Data. Xinan Yan, Linguan Yang, Hongbo Zhang, Xiayue Charles Lin, Bernard Wong, Kenneth Salem, and Tim Brecht. In Proceedings of the ACM SIGMOD International Conference on Management of Data, Houston, TX, June 2018. PDF Disk Prefetching Mechanisms for Increasing HTTP Streaming Video Server Throughput. Benjamin Cassell, Tyler Szepesi, Jim Summers, Tim Brecht, Derek Eager, and Bernard Wong. In ACM Transactions on Modeling and Performance Evaluation of Computing Systems (TOMPECS). Volume 3, Issue 2, April 2018. PDF NetStore: Leveraging Network Optimizations to Improve Distributed Transaction Processing Performance. Xu Cui, Michael Mior, Bernard Wong, Khuzaima Daudjee, and Sajjad Rizvi. In Proceedings of the International Workshop on Active Middleware on Modern Hardware, Las Vegas, NV, December 2017. PDF Canopus: A Scalable and Massively Parallel Consensus Protocol. Sajjad Rizvi, Bernard Wong, and Srinivasan Keshav. In Proceedings of the International Conference on emerging Networking EXperiments and Technologies (CoNEXT), Seoul/Incheon, South Korea, December 2017. Best Paper Award Nominee. PDF/ Extended Technical Report/ Presentation Nessie: A Decoupled, Client-Driven Key-Value Store Using RDMA. Benjamin Cassell, Tyler Szepesi, Bernard Wong, Tim Brecht, Jonathan Ma, and Xiaoyi Liu. In IEEE Transactions on Parallel and Distributed Systems (TPDS), Volume 28, Issue 12, December 2017, doi.ieeecomputersociety.org/10.1109/TPDS.2017.2729545. PDF Using Libception to Understand and Improve HTTP Streaming Video Server Throughput. Tyler Szepesi, Ben Cassell, Tim Brecht, Derek Eager, Jim Summers, and Bernard Wong. In Proceedings of the International Conference on Performance Engineering (ICPE), L'Aquila, Italy, April 2017. PDF R3S: RDMA-based RDD Remote Storage for Spark. Xinan Yan, Bernard Wong, and Sharon Choy. In Proceedings of the International Workshop on Adaptive and Reflective Middleware (ARM), Trento, Italy, December 2016. PDF Mayflower: Improving Distributed Filesystem Performance Through SDN/Filesystem Co-Design. Sajjad Rizvi, Xi Li, Bernard Wong, Fiodar Kazhamiaka, and Benjamin Cassell. In Proceedings of the International Conference on Distributed Computing Systems (ICDCS), Nara, Japan, June 2016. PDF Understanding the Causes of Consistency Anomalies in Apache Cassandra. Hua Fan, Aditya Ramaraju, Marlon McKenzie, Wojciech Golab, and Bernard Wong. In Proceedings of the International Conference on Very Large Data Bases (VLDB), Kohala Coast, Hawaii, August 2015. PDF Towards Reconfigurable Rack-Scale Networking. Tyler Szepesi, Bernard Wong, Tim Brecht, and Sajjad Rizvi. In Proceedings of the Workshop on Rack-scale Computing (WRSC), Bordeaux, France, April 2015. PDF PRISM: Fine-Grained Resource-Aware Scheduling for MapReduce. Qi Zhang, Mohamed Faten Zhani, Yuke Yang, Raouf Boutaba, and Bernard Wong. In IEEE Transactions on Cloud Computing (TCC), Volume 3, Issue 2, January 2015. Link to PDF Latency Amplification: Characterizing the Impact of Web Page Content on Load Times. Catalin Avram, Kenneth Salem, and Bernard Wong. In Proceedings of the Workshop on Planetary-Scale Distributed Systems (W-PSDS), Nara, Japan, October 2014. Quartz: A New Design Element for Low-Latency DCNs. Yunpeng James Liu, Peter Xiang Gao, Bernard Wong, and Srinivasan Keshav. In Proceedings of the SIGCOMM Conference, Chicago, Illinois, August 2014. PDF Automated Control of Aggressive Prefetching for HTTP Streaming Video Servers. Jim Summers, Tim Brecht, Derek Eager, Tyler Szepesi, Ben Cassell, and Bernard Wong. In Proceedings of the International Systems and Storage Conference (SYSTOR), Haifa, Israel, June 2014. PDF MicroFuge: A Middleware Approach to Providing Performance Isolation in Cloud Storage Systems. Akshay K. Singh, Xu Cui, Benjamin Cassell, Bernard Wong, and Khuzaima Daudjee. In Proceedings of the International Conference on Distributed Computing Systems (ICDCS), Madrid, Spain, June 2014. PDF Designing A Low-Latency Cuckoo Hash Table for Write-Intensive Workloads Using RDMA. Tyler Szepesi, Bernard Wong, Benjamin Cassell, and Tim Brecht. In Proceedings of the Workshop on Rack-scale Computing (WRSC), Amsterdam, The Netherlands, April 2014. PDF Kronos: The Design and Implementation of an Event Ordering Service. Robert Escriva, Ayush Dubey, Bernard Wong, and Emin Gn Sirer. In Proceedings of the European Conference on Computer Systems (EuroSys), Amsterdam, The Netherlands, April 2014. PDF A Hybrid Edge-Cloud Architecture for Reducing On-Demand Gaming Latency. Sharon Choy, Bernard Wong, Gwendal Simon, and Catherine Rosenberg. In Springer's Multimedia Systems Journal (MMSJ) Special Issue on Network and Systems Support for Games, 2014, doi:10.1007/s00530-014-0367-z. Link to PDF Towards an Efficient Online Causal-Event-Pattern-Matching Framework. Sukanta Pramanik, David Taylor, and Bernard Wong. In Proceedings of the International Conference on Distributed Computing Systems (ICDCS), Philadelphia, Pennsylvania, July 2013. PDF MemRed: Towards Reliable Web Applications. Masoomeh Rudafshani, Paul Ward, and Bernard Wong. In Proceedings of the Workshop on Secure and Dependable Middleware for Cloud Monitoring and Management (SDMCMM), Montreal, Canada, December 2012. PDF The Brewing Storm in Cloud Gaming: A Measurement Study on Cloud to End-User Latency. Sharon Choy, Bernard Wong, Gwendal Simon, and Catherine Rosenberg. In Proceedings of the Workshop on Network and Systems Support for Games (NetGames), Venice, Italy, November 2012. PDF HyperDex: A Distributed, Searchable Key-Value Store. Robert Escriva, Bernard Wong, and Emin Gn Sirer. In Proceedings of the SIGCOMM Conference, Helsinki, Finland, August 2012. PDF It's Not Easy Being Green. Peter Xiang Gao, Andrew R. Curtis, Bernard Wong, and Srinivasan Keshav. In Proceedings of the SIGCOMM Conference, Helsinki, Finland, August 2012. PDF An Introduction to HyperDex and the Brave New World of High Performance, Scalable, Consistent, Fault-tolerant Data Stores. Robert Escriva, Bernard Wong, and Emin Gn Sirer. In USENIX ;login: Volume 37, Number 3, June 2012. To Chunk or Not to Chunk: Implications for HTTP Streaming Video Server Performance. Jim Summers, Tim Brecht, Derek Eager, and Bernard Wong. In Proceedings of the Workshop on Network and Operating Systems Support for Digital Audio and Video (NOSSDAV), Toronto, Canada, June 2012. PDF Methodologies for Generating HTTP Streaming Video Workloads to Evaluate Web Server Performance. Jim Summers, Tim Brecht, Derek Eager, and Bernard Wong. In Proceedings of the International Systems and Storage Conference (SYSTOR), Haifa, Israel, June 2012. PDF Small-World Datacenters. Ji-Yong Shin, Bernard Wong, and Emin Gn Sirer. In Proceedings of the Symposium on Cloud Computing (SoCC), Cascais, Portugal, October 2011. PDF A Content Propagation Metric for Efficient Content Distribution. Ryan S. Peterson, Bernard Wong, and Emin Gn Sirer. In Proceedings of the SIGCOMM Conference Toronto, Ontario, Canada, August 2011. PDF Dude where's that IP? Circumventing Measurement-based IP Geolocation. Phillipa Gill, Yashar Ganjali, Bernard Wong, and David Lie. In Proceedings of Usenix Security Symposium, Washington, DC, August 2010. PDF Blindfold: A System to "See No Evil" in Content Discovery. Ryan S. Peterson, Bernard Wong, Emin Gn Sirer. In Proceedings of the International Workshop on Peer-to-Peer Systems (IPTPS), San Jose, California, April 2010. PDF Quasar: A Probabilistic Publish-Subscribe System for Social Networks. Bernard Wong and Saikat Guha. In Proceedings of the International Workshop on Peer-to-Peer Systems (IPTPS), Tampa Bay, Florida, Feb 2008. PDF Hyperspaces for Object Clustering and Approximate Matching in Peer-to-Peer Overlays. Bernard Wong, mir Vigfsson and Emin Gn Sirer. In Proceedings of the Workshop on Hot Topics in Operating Systems (HotOS), San Diego, California, May 2007. PDF Octant: A Comprehensive Framework for the Geolocalization of Internet Hosts. Bernard Wong, Ivan Stoyanov and Emin Gn Sirer. In Proceedings of the Symposium on Networked System Design and Implementation (NSDI), Cambridge, Massachusetts, April 2007. PDF Geolocalization on the Internet through Constraint Satisfaction. Bernard Wong, Ivan Stoyanov and Emin Gn Sirer. In Proceedings of the Workshop on Real, Large Distributed Systems (WORLDS), Seattle, Washington, November 2006. PDF ClosestNode.com: An Open-Access, Scalable, Shared Geocast Service for Distributed Systems. Bernard Wong and Emin Gn Sirer. In SIGOPS Operating Systems Review, Volume 40, Number 1, January 2006. PDF Meridian: A Lightweight Network Location Service without Virtual Coordinates. Bernard Wong, Aleksandrs Slivkins, Emin Gn Sirer. In Proceedings of the SIGCOMM Conference, Philadelphia, Pennsylvania, August 2005. PDF Dynamically Loaded Classes as Shared Libraries: an Approach to Improving Virtual Machine Scalability. Bernard Wong, Grzegorz Czajkowski and Laurent Dayns. In Proceedings of International Parallel & Distributed Processing Symposium (IPDPS), Nice, France, April 2003. PDF Technical Reports CrossStitch: An Efficient Transaction Processing Framework for Geo-Distributed Systems. Sharon Choy, Bernard Wong, Xu Cui, and Xiaoyi Liu. University of Waterloo, School of Computer Sciecne Technical Report CS-2015-08, June 2015. PDF Nessie: A Decoupled, Client-Driven, Key-Value Store using RDMA. Tyler Szepesi, Benjamin Cassell, Bernard Wong, Tim Brecht, and Xiaoyi Liu. University of Waterloo, School of Computer Sciecne Technical Report CS-2015-09, June 2015. PDF Lanternfish: Better Random Networks Through Optics. Tyler Szepesi, Bernard Wong, Fiodar Kazhami, Sajjad Rizvi, and Tim Brecht. University of Waterloo, School of Computer Sciecne Technical Report CS-2015-11, June 2015. PDF Approximate Matching for Peer-to-Peer Overlays with Cubit Bernard Wong, Aleksandrs Slivkins and Emin Gn Sirer. Cornell University, Computing and Information Science Technical Report http://hdl.handle.net/1813/11651, December 2008 PDF Meridian: A Lightweight Network Location Service without Virtual Coordinates (Extended Technical Report). Bernard Wong, Aleksandrs Slivkins and Emin Gn Sirer. Cornell University, Computing and Information Science Technical Report TR2005-1982, February 2005. PDF A Lightweight Approach to Network Positioning. Bernard Wong and Emin Gn Sirer. Cornell University, Computing and Information Science Technical Report TR2004-1949, August 2004. PDF Patents System and Methods for Mapping and Searching Objects in Multidimensional Space. Emin Gn Sirer, Nicole L. Caruso and Bernard Wong. US Patent Number 9317536, April 2016. Geographically Localizing Mobile Communication Devices. Bernard Wong, Samir Goel and Ravi Jain. US Patent Number 7983691, July 2011. Professional Activities PC member ICPADS 2014 PC member W-PSDS 2014 PC member P2P 2014 PC member ICCCN 2014 PC member WRSC 2014 PC member EuroSys 2014 PC member P2P 2013 PC member USENIX ATC 2013 PC member HotDep 2012 PC member P2P 2012 PC member ROADS 2009 PC member ICCCN 2009 P2PN Last modified: August 24, 2018 diff --git a/src/data/compiled_bios/2865.txt b/src/data/compiled_bios/2865.txt new file mode 100644 index 0000000000..9606f9e72a --- /dev/null +++ b/src/data/compiled_bios/2865.txt @@ -0,0 +1 @@ +Yaoliang Yu Yaoliang Yu Home Biography CV Calendar Research Papers Students Talks Countdown Teaching CS886 Notes Classics Yaoliang Yu () I am an assistant professor in the David R. Cheriton School of Computer Science at University of Waterloo. My research revolves around machine learning, statistics, and optimization, with applications in computer vision and multimedia. Contact DC 3617 David R. Cheriton School of Computer Science University of Waterloo Waterloo, ON, N2L 3G1, Canada Email: yaoliang.yu@uwaterloo.ca Phone: 519-888-4567 Ext 34469 http://www.cs.uwaterloo.ca/~y328yu/ Page generated 2018-12-27 22:24:58 EST, by jemdoc. diff --git a/src/data/compiled_bios/2866.txt b/src/data/compiled_bios/2866.txt new file mode 100644 index 0000000000..1d91494c6e --- /dev/null +++ b/src/data/compiled_bios/2866.txt @@ -0,0 +1 @@ +Dr. Mehrdad Aliasgari joined the faculty of the Computer Engineering and Computer Science Department in 2013, after completing his Ph.D. in Computer Science and Engineering from the University of Notre Dame. He received his B.S. in Electrical Engineering from Sharif University of Technology and his M.S. in Computer Science and Engineering from University of Notre Dame.Aliasgari's research area is mainly computer security and applied cryptography. Particularly he focuses on privacy-preserving computation and outsourcing, verifiable and secure outsourcing and storage of data, private biometric and genomic computation and cloud security. His dissertation was entitled "Secure Computation and Outsourcing of Biometric Data". He developed the first efficient solution on secure multiparty floating point computation which has numerous applications in the field of secure computation and outsourcing. He teaches computer security and cryptography courses at California State University, Long Beach. diff --git a/src/data/compiled_bios/2867.txt b/src/data/compiled_bios/2867.txt new file mode 100644 index 0000000000..f6af96d493 --- /dev/null +++ b/src/data/compiled_bios/2867.txt @@ -0,0 +1 @@ +Professor Allison's Home Page AC_FL_RunContent( 'codebase','http://active.macromedia.com/flash4/cabs/swflash.cab#version=4,0,0,0','id','CECS_Matrix2','width','202','height','423','name','CECS_Matrix2','src','CECS Matrix2','quality','high','bgcolor','#FFFFFF','pluginspage','http://www.macromedia.com/shockwave/download/index.cgi?P1_Prod_Version=ShockwaveFlash','movie','CECS Matrix2' ); //end AC code | | | | Quote of the Day " + quote + "") // --> Nothing in the world can take the place of persistence. Talent will not; nothing is more common than unsuccessful men with talent. Genius will not; unrewarded genius is almost a proverb. Education will not; the world is full of educated derelicts. Persistence and determination alone are omnipotent. Calvin Coolidge diff --git a/src/data/compiled_bios/2868.txt b/src/data/compiled_bios/2868.txt new file mode 100644 index 0000000000..5eee21157b --- /dev/null +++ b/src/data/compiled_bios/2868.txt @@ -0,0 +1 @@ +Dr. Shadnaz Asgari is Chair of the Biomedical Engineering Department at CSULB. She holds joint appointments in CSULB's Biomedical Engineering and Computer Engineering & Computer Science departments. After earning her Ph.D. in Electrical Engineering from UCLA in 2008, Dr. Asgari completed two years of postdoctoral training at UCLA David Geffen School of Medicine, and then worked as a research faculty conducting multidisciplinary brain research in the UCLA Neurosurgery Department. She joined CSULB in Fall 2012, and was a Visiting Professor at University of Cambridge's Brain Physics Lab in Spring 2017.Dr. Asgari's research is at the intersection of electrical engineering, computer science, and medicine. She employs computational and mathematical modeling tools, advanced signal processing algorithms, and artificial intelligence techniques to deliver practical solutions for various biomedical applications. Currently, her research is in the area of computational physiology with the involvement of CSULB undergraduate, master's, and Ph.D. students.Dr. Asgari is the recipient of the 2010 Best Poster Award at the International Conference on Intracranial Pressure and Brain Monitoring, a 2011 UCLA Brain Injury Research Center Young Investigator Award, 2015 Long Beach State Early Academic Career Excellence Award, and 2018 Google exploreCSR award. In 2016, she was inducted into the Long Beach State National Academy of Inventors chapter. Her research has resulted in publication of more than 60 peer-reviewed journal and conference papers. diff --git a/src/data/compiled_bios/2869.txt b/src/data/compiled_bios/2869.txt new file mode 100644 index 0000000000..2c322a3b22 --- /dev/null +++ b/src/data/compiled_bios/2869.txt @@ -0,0 +1 @@ +Dr. Chelian holds a Ph.D. in Electronic Engineering. His research interests are in computer architecture, multiprocessing, computer networks, embedded controllers, and solid state circuits. He has authored more than 40 technical papers, holds one patent, and previously worked as an On-call Member of the Technical Staff at NASAs Jet Propulsion Laboratory. Dr. Chelian was the recipient of a 2012 CSULB Distinguished Faculty Advisor Award.His hobbies include 5K walks, playing steel guitar, singing in choirs, and participating in speech contests. Dr. Chelian is a Distinguished Toastmaster. He also recently earned an associate's degree, double majoring with honors in Arts and Humanities and Social and Behavioral Science. diff --git a/src/data/compiled_bios/287.txt b/src/data/compiled_bios/287.txt new file mode 100644 index 0000000000..a82786ba81 --- /dev/null +++ b/src/data/compiled_bios/287.txt @@ -0,0 +1 @@ + Brian C. Dean Dean's Associate Professor in the School of Computing Program Coordinator, Computer Science PhD Program Program Coordinator, Biomedical Data Science and Informatics graduate programs Division of Computer Science School of Computing , Clemson University Office: McAdams Hall, Room 205 Phone: 864-656-5866 Mail: Brian C. Dean, School of Computing, Box 340974, Clemson SC 29634-0974 Email: bcdean@cs.clemson.edu Bio: I received my undergraduate and graduate degrees in computer science from MIT . My research interests are quite broad, encompassing most of algorithmic computer science and its applications, with recent emphasis on algorithmic applications in biomedical data science. I am also interested in computer science education, particularly at the high-school level. I currently direct the Applied Algorithms Group in the School of Computing at Clemson. My research was most recently supported by an NSF CAREER award . I also recently directed an NSF-funded research experiences for undergradutes (REU) program in data-intensive computing. Teaching: In Fall 2018, I am teaching CpSc 2120, an undergraduate course in algorithm design. I also organize a weekly seminar on programming and problem solving (CpSc 4890) geared particularly for students interested in participating in the ACM programming contest (Monday 5-6, McAdams 114). Advising: If you have taken one of my courses and done well, please feel free to contact me about research opportunities. Computing Contests: I'm the director of the USA Computing Olympiad , a program that contributes to computer science education at the high-school level via algorithmic programming competitions and on-line training materials. The USACO is one of several national scientific "Olympiads" at the high-school level, tasked with identifying and training top students in their respective disciplines. Each summer the USACO invites the top two dozen high-school students in the country to an intensive summer "training camp" at Clemson University, from which a team of 4 is selected to represent the USA at the International Olympiad in Informatics, the most prestigious international algorithmic programming contest at the high-school level. LectureScribe: In order to develop more effective multimedia content for my courses and an upcoming book, I'd written a program called LectureScribe nearly 15 years ago for recording animated "whiteboard lectures" on a tablet PC. The program has since been updated to run in a web setting; you can find it here . My wife, Delphine , is the Gregg-Graniteville Associate Professor in the Clemson Bioengineering Department. hits according to Web Counter diff --git a/src/data/compiled_bios/2870.txt b/src/data/compiled_bios/2870.txt new file mode 100644 index 0000000000..c66d695d97 --- /dev/null +++ b/src/data/compiled_bios/2870.txt @@ -0,0 +1 @@ +Todd Ebert is a CSULB alumnus who received his Ph.D. in Mathematics in 1998 from UC Santa Barbara. It was there that he studied Complexity Theory under Dr. Ron Book. Dr. Ebert's Ph.D. dissertation is credited with introducing the now famous Hat Problem for which articles have appeared in both the New York Times and Scientific American. Upon graduating from UCSB, Dr. Ebert spent two years at Arcadia Design Systems in San Jose, working in software research and development. Eager to return to teaching and his Southern California roots, Dr. Ebert served as a lecturer for one year at UC Irvine before accepting his current position at CSU Long Beach. He teaches courses in discrete structures, modeling and simulation, data structures and algorithms, and artificial intelligence. Dr. Ebert's current research interests lie in constraint programming, including high-level languages for stating constraint problems, and robust algorithms for solving them. diff --git a/src/data/compiled_bios/2871.txt b/src/data/compiled_bios/2871.txt new file mode 100644 index 0000000000..cf9f0fe600 --- /dev/null +++ b/src/data/compiled_bios/2871.txt @@ -0,0 +1 @@ +Dr. Bo Fu joined the Department of Computer Engineering and Computer Science at California State University, Long Beach in Fall 2015. Dr. Fu holds a Ph.D in Computer Science(2011) from Trinity College Dublin. Prior to joining CSULB, she worked for the Stanford National Center for Biomedical Ontology and the University of Victoria. Dr Fu's research focuses on knowledge-enabled and data centric computing and its application in health informatics. She is interested in cross-disciplinary research solving issues in predictive and participtory medicine using technologies and techniques from the Semantic Web, data engineering, data analytics, as well as human-computer interaction. diff --git a/src/data/compiled_bios/2872.txt b/src/data/compiled_bios/2872.txt new file mode 100644 index 0000000000..7a00744150 --- /dev/null +++ b/src/data/compiled_bios/2872.txt @@ -0,0 +1 @@ +Dr. Goldstein's interests include algorithms and data structures, games, distributed computation, computational complexity, playing with toy monster trucks and smashing things that look like Elmo with collaborator Nathan Goldstein. diff --git a/src/data/compiled_bios/2873.txt b/src/data/compiled_bios/2873.txt new file mode 100644 index 0000000000..8a0da78246 --- /dev/null +++ b/src/data/compiled_bios/2873.txt @@ -0,0 +1 @@ +Dr. Min He received her B.Eng. degree in Computer Engineering and M.E degree in Computer Engineering from Hunan University, Hunan, China, in 1988 and 1991, and M.S degree in System Science and PhD in Computer Science from Louisiana State University in 1997 and 2002. Before she joined CSULB, she worked as a software engineer at HuaYuChan International Science & Technology Development Co. Ltd. in Shenzhen, China, from 1991-92 and at China National Posts and Telecommunications Office in Zhu Hai, China, from 1992-94, and a senior embedded software engineer at Qualcomm from 1998-2003. Her research interests include embedded systems, hardware/software codesign for embedded systems, software engineering for embedded systems, parallel algorithms and models, and optical interconnection networks. diff --git a/src/data/compiled_bios/2874.txt b/src/data/compiled_bios/2874.txt new file mode 100644 index 0000000000..3bb195522e --- /dev/null +++ b/src/data/compiled_bios/2874.txt @@ -0,0 +1 @@ +Dr. Johnson's interests include digital signal hardware design, image processing, digital signal processing, and fast transforms for multidimension correlation/convolution processing. diff --git a/src/data/compiled_bios/2875.txt b/src/data/compiled_bios/2875.txt new file mode 100644 index 0000000000..3c9b417b7e --- /dev/null +++ b/src/data/compiled_bios/2875.txt @@ -0,0 +1 @@ +Dr. Shui Lam joined the Computer Engineering & Computer Science Department at California State University Long Beach in 1985 after teaching at McGill University in Montreal, Canada, and the University of California at Riverside. She also has several years of computer science industry experience as a technical planner and a senior systems analyst.Dr. Lam received her undergraduate education in Physics at the Chinese University of Hong Kong, and earned her master's degree and doctorate in Computer Science from the Pennsylvania State University in 1975. Her areas of expertise and research interests include multiprocessor scheduling, optimization modeling of complex scheduling problems, simulation modeling, and performance modeling of cluster computing. She has co-authored a book on computer capacity planning and published in the Journal of the ACM, Communications of the ACM, SIAM Journal on Computing, as well as other publication venues.Dr. Lam has taught a wide range of undergraduate and graduate courses and is the coordinator of various courses in computer science, including operating systems, programming languages, parallel computing, and computer graphics. Dr. Lam especially enjoys working in projects that involve students. One such project was the construction of a Beowulf supercomputing cluster in which she and two graduate students worked to acquire funding as well as non-monetary donations to build the cluster. The Beowulf cluster is currently being utilized in a graduate-level course in parallel computing developed by Dr. Lam and in directed study and research that she supervises. diff --git a/src/data/compiled_bios/2876.txt b/src/data/compiled_bios/2876.txt new file mode 100644 index 0000000000..7f4104b812 --- /dev/null +++ b/src/data/compiled_bios/2876.txt @@ -0,0 +1 @@ +Alvaro Monge A Professor of Computing Specializing in design and development of databases and websites alvaro.monge@csulb.edu Toggle navigation Home Teaching CECS 274 CECS 323 Previous classes Research About I'm a professor of Computer Science at CSULB. If you are a CSULB student then you are likely looking for information on the classes I teach or on projects I work on, you can also contact me via e-mail. Spring 2019 Classes CECS 323 : Database Fundamentals CECS 274 : Data Structures Advising Dr. Monge is no longer an academic adviser as the department elected someone else. Computer Science students seeking advice, if your last name is A thru L, please see Dr. Morales Ponce, otherwise see Dr. Aliasgari. Research I study techniques that can improve the accessibility of online material for people with low vision. Together with colleagues, we have created assistive technology to enable users to customize how web content is presented to them. California State University Long Beach Computer Engineering and Computer Science 1250 Bellflower Blvd Long Beach CA 90840-8302 Design: Initio by GetTemplate diff --git a/src/data/compiled_bios/2877.txt b/src/data/compiled_bios/2877.txt new file mode 100644 index 0000000000..9a67fa32fc --- /dev/null +++ b/src/data/compiled_bios/2877.txt @@ -0,0 +1 @@ +Dr. Ju Cheol Moon joined the CSULB Department of Computer Science and Computer Engineering as an Assistant Professor in Fall 2018. He earned his Ph.D. from the Department of Computer Science at the Iowa State University in 2017. He earned an M.S. degree in Electrical Engineering and Computer Science from South Dakota State University and a B.S. in Physics from the Korea University in Republic of Korea.Dr. Moons research focuses on applying data-driven frameworks to solve interdisciplinary questions and problems. He is interested in machine learning, data science, bioinformatics, and algorithms. During his graduate tenure, Dr. Moon has conducted research in algorithms and machine learning with a particular focus on biological and medical data analysis. He has been involved in a project funded by National Science Foundation to analyze biological information from DNA sequences, and has participated in a project to use medical images to predict the probability of a disease. diff --git a/src/data/compiled_bios/2878.txt b/src/data/compiled_bios/2878.txt new file mode 100644 index 0000000000..a54cbe413c --- /dev/null +++ b/src/data/compiled_bios/2878.txt @@ -0,0 +1 @@ +Dr. Oscar Morales Ponce joined the Department of Engineering and Computer Science at California State University, Long Beach as an Assistant Professor in Fall 2015. Dr. Ponce obtained his Ph.D in Computer Science from Carleton University in 2011. He was a Postdoctoral Scholar at Chalmers University of Technology from 2012 to 2014 and at Carleton University from 2011 to 2012. He was a Visiting Assistant Professor at the University of Information Science and Technology St. Paul the Apostle from February to July 2015. Ponce also has several years' experience in the private sector as a software engineer and IT consultant. Dr. Ponce's research focuses on the design and analysis of cooperative algorithms to self-coordinate the actions of distributed systems that can communicate directly by message passing or indirectly by observing the behavior of other participants. He has applied his research to cyber-physical systems for an EU-funded project, where cooperative vehicles self-coordinate their actions in timely critical maneuvers to maintain high safety standards. His research interests include theoretical and practical aspects of distributed computing, wireless sensor networks, distributed control of robotic networks, computational geometry, graph theory, vehicular networks and intelligent transportation systems. diff --git a/src/data/compiled_bios/2879.txt b/src/data/compiled_bios/2879.txt new file mode 100644 index 0000000000..8488db4684 --- /dev/null +++ b/src/data/compiled_bios/2879.txt @@ -0,0 +1 @@ +Ratanamuny Ngo Ratanamuny Ngo Lecturer, CSU Long Beach, Computer Engineering and Computer Science Class notes for Spring 2017 Remember to append the string '/n' to the url, i.e., web.csulb.edu/~rngo/n Professional Interests Statistical Learning Theory, Machine Learning, Distributed Computing, Operating Systems. Contact Information Email: ratana.ngo@csulb.edu Phone: 562-985-8052 Campus: CSU Long Beach CECS Department 1250 Bellflower Boulevard, Long Beach, CA 90840 Office: ECS 535 diff --git a/src/data/compiled_bios/288.txt b/src/data/compiled_bios/288.txt new file mode 100644 index 0000000000..76a0595212 --- /dev/null +++ b/src/data/compiled_bios/288.txt @@ -0,0 +1 @@ + Daljit Singh Dhillon Website under construction. Assistant Professor, Visual Computing School of Computing 303 McAdams Hall Email-id: djsingh AT clemson DOT edu Research Interests Computer graphics, realistic appearances, bio-physical modeling and simulation, surface geometries, fabrication Students interested in undertaking research work in these areas are welcome to contact Dr. Dhillon Short Bio Dr. Daljit Singh Dhillon in an assistant professor with the division for Visual Computing at Clemson University , since Jan 2019. Previously, he was a research associate at Realistic Graphics and Imaging Group , Imperial College London (ICL), UK from 2017 - 2018. His primary research interest lies in modeling material appearances and surface geometric phenomena. He has a keen interest in inter-disciplinary research involving visual computing, especially in material fabrication. His association with ICL began as a visiting researcher (2016 - 2017) on a Swiss National Science Foundation (SNSF) fellowship for a post-doc position. He obtained his PhD in Computer Science from University of Bern , Switzerland (2011-2015). His PhD thesis On Modeling and Simulating Reptile Skin Coloration was an inter-disciplinary research work in collaboration with biologists and physicists at University of Geneva , Switzerland. Dr. Dhillon obtained his M.Sc. (Engg.) degree with a research thesis on structured-light 3D scanning systems, from Indian Institute of Science (2007-2010) and a bachelor degree in computer engineering from University of Mumbai (1995-1999). Apart from an academic research background in computer graphics and vision, he has eight years of industrial experience in software development (1999-2007), including research in video encoders and speaker verification using Hidden Markov Models. Publications Peer-reviewed Journals Acquiring Spatially-varying Appearance of Printed Holographic Surfaces Toisoul, A.* , Dhillon, D.S.J.*, and Ghosh, A. (2018), in ACM Trans. on Graphics (Proc. SIGGRAPH ASIA) 37, 6, Article 272, 16 pages. DOI: https://doi.org/10.1145/3272127.3275077 , * joint first authors We present two novel and complimentary approaches to measure diffraction effects in commonly found planar spatially varying holographic surfaces. Such surfaces are increasingly found in various decorative materials such as gift bags, holographic papers, clothing and security holograms, and produce impressive visual effects that have not been previously acquired for realistic rendering. Such holographic surfaces are usually manufactured with one dimensional diffraction gratings that are varying in periodicity and orientation over an entire sample in order to produce a wide range of diffraction effects such as gradients and kinematic (rotational) effects. Our proposed methods estimate these two parameters and allow an accurate reproduction of these effects in real-time. The first method simply uses a point light source to recover both the grating periodicity and orientation in the case of regular and stochastic textures. Under the assumption that the sample is made of the same repeated diffractive tile, good results can be obtained using just one to five photographs on a wide range of samples. The second method is based on polarization imaging and enables an independent high resolution measurement of the grating orientation and relative periodicity at each surface point. The method requires a minimum of four photographs for accurate results, does not assume repetition of an exemplar tile, and can even reveal minor fabrication defects. We present point light source renderings with both approaches that qualitatively match photographs, as well as real-time renderings under complex environmental illumination. Bifurcation Analysis of Reaction Diffusion Systems on Arbitrary Surfaces Dhillon, D.S., Milinkovitch, M.C., and Zwicker, M. (2017), in Bulletin of Mathematical Biology, 79: 788827 DOI: https://dx.doi.org/10.1007/s11538-017-0255-8 In this paper, we present computational techniques to investigate the effect of surface geometry on biological pattern formation. In particular, we study twocomponent, nonlinear reactiondiffusion (RD) systems on arbitrary surfaces. We build on standard techniques for linear and nonlinear analysis of RD systems and extend them to operate on large-scale meshes for arbitrary surfaces. In particular, we use spectral techniques for a linear stability analysis to characterise and directly compose patterns emerging from homogeneities. We develop an implementation using surface finite element methods and a numerical eigenanalysis of the LaplaceBeltrami operator on surface meshes. In addition, we describe a technique to explore solutions of the nonlinear RD equations using numerical continuation. Here, we present a multiresolution approach that allows us to trace solution branches of the nonlinear equations efficiently even for large-scale meshes. Finally, we demonstrate the working of our framework for two RD systems with applications in biological pattern formation: a Brusselator model that has been used to model pattern development on growing plant tips, and a chemotactic model for the formation of skin pigmentation patterns. While these models have been used previously on simple geometries, our framework allows us to study the impact of arbitrary geometries on emerging patterns. Interactive Diffraction from Biological Nanostructures Dhillon, D.S., Teyssier, J., Single, M., Gaponenko, I., Milinkovitch, M.C., and Zwicker, M. (2014), in Computer Graphics Forum (Vol. 33, No. 8, pp. 177-188), orally presented at Eurographics 2015, Zurich DOI: http://dx.doi.org/10.1111/cgf.12425 We describe a technique for interactive rendering of diffraction effects produced by biological nanostructures, such as snake skin surface gratings. Our approach uses imagery from atomic force microscopy that accurately captures the geometry of the nanostructures responsible for structural colouration, that is, colouration due to wave interference, in a variety of animals. We develop a rendering technique that constructs bidirectional reflection distribution functions (BRDFs) directly from the measured data and leverages pre-computation to achieve interactive performance. We demonstrate results of our approach using various shapes of the surface grating nanostructures. Finally, we evaluate the accuracy of our pre-computation-based technique and compare to a reference BRDF construction technique. Geometric and Radiometric Estimation in a Structured-light 3D Scanner Dhillon, D.S., and Govindu, V.M. (2015), in Machine Vision and Applications, 26(2-3), 339-352 DOI: http://dx.doi.org/10.1007/s00138-015-0667-0 The key problems in a structured-light 3D scanner using a projector and camera are its geometric and radiometric calibration. A projector can be effectively represented using the familiar pin-hole model for cameras. However, since we cannot directly observe the projector plane, it cannot be calibrated like a camera. The first contribution of our paper is to develop a geometric calibration and 3D estimation method that utilises the projective geometric relationships available in a projectorcamera pair, i.e., homography induced by a plane and invariance of cross-ratios. The low-dimensional parametric form of the homography averages out individual errors, resulting in a geometric calibration approach that is both simple to use and highly accurate. We present an extensive set of results to demonstrate the effectiveness of our approach and also characterise its accuracy. Second, we present a method for correcting systematic errors introduced due to the radiometric non-linearities present in commercial projectors. These errors are pronounced when only a few phase shifts are used in the sinusoidal coding scheme for structured-light scanners. We develop a cubic spline-based method to model and remove the effects due to these non-linearities. The efficacy of our model is demonstrated on real datasets. Crocodile Head Scales Are Not Developmental Units But Emerge from Physical Cracking Milinkovitch, M.C., Manukyan, L., Debry, A., Di-Po, N., Martin, S., Singh, D., Lambert, D., and Zwicker, M. (2013), in Science, 339(6115), 78-81 DOI: https://doi.org/10.1126/science.1226265 Various lineages of amniotes display keratinized skin appendages (feathers, hairs, and scales) that differentiate in the embryo from genetically controlled developmental units whose spatial organization is patterned by reaction-diffusion mechanisms (RDMs). We show that, contrary to skin appendages in other amniotes (as well as body scales in crocodiles), face and jaws scales of crocodiles are random polygonal domains of highly keratinized skin, rather than genetically controlled elements, and emerge from a physical self-organizing stochastic process distinct from RDMs: cracking of the developing skin in a stress field. We suggest that the rapid growth of the crocodile embryonic facial and jaw skeleton, combined with the development of a very keratinized skin, generates the mechanical stress that causes cracking. Peer-reviewed Conferences Efficient Surface Diffraction Renderings with Chebyshev Approximations , Dhillon, D.S., and Ghosh, A. (2016), in SIGGRAPH ASIA 2016 Technical Briefs (SA 16), 7:17:4 DOI: https://doi.org/10.1145/3005358.3005376 Optimized CUDA-based PDE Solver for Reaction Diffusion Systems on Arbitrary Surfaces, Descombes, S.M., Dhillon, D.S., and Zwicker, M. (2016), in Revised Selected Papers, Part I for International Conference on Parallel Processing and Applied Mathematics, 526-536 DOI: http://dx.doi.org/10.1007/978-3-319-32149-3_49 On Using Projective Relations for Calibration and Estimation in a Structured-light Scanner, Dhillon, D., and Govindu, V. (2009), in Advances in Visual Computing, 831-842 DOI: http://dx.doi.org/10.1007/978-3-642-10331-5_77 Conference Posters Practical Multispectral Imaging of Human Skin using RGBW+ Illumination, Gitlina, Y., Dhillon, D.S.J., Huang, X., Guarnera, G.C., and Ghosh, A. (2018), in Proceedings of the 15th European Conference on Visual Media Production (CVMP 2018), London, UK, 13-14 Dec 2018 Practical Measurement-Based Spectral Rendering of Human Skin, Gitlina, Y., Dhillon, D.S.J., Hansen, J., Pai, D.K., and Ghosh, A. (2018), in ACM SIGGRAPH Posters 2018, Vancouver, Canada, 12-16 Aug 2018 DOI: https://doi.org/10.1145/3230744.3230795 Practical Acquisition and Rendering of Common Spatially Varying Holographic Surfaces, Toisoul, A., Dhillon, D.S.J., and Ghosh, A. (2018), in ACM SIGGRAPH Posters 2018, Vancouver, Canada, 12-16 Aug 2018 DOI: https://doi.org/10.1145/3230744.3230815 Interactive Diffraction from Biological Nanostructures, Dhillon, D. S., Teyssier, J., Single, M., Gaponenko, I., Milinkovitch, M. C., and Zwicker, M. (2014), in: Paulin M, Dachsbacher C (eds) Eurographics 2014 - Posters, The Eurographics Association DOI: http://dx.doi.org/10.2312/egp.20141064 Your browser does not support frames. diff --git a/src/data/compiled_bios/2880.txt b/src/data/compiled_bios/2880.txt new file mode 100644 index 0000000000..17bc0fa343 --- /dev/null +++ b/src/data/compiled_bios/2880.txt @@ -0,0 +1 @@ +Phuong Nguyen CECS Department California State University, Long Beach Office: ECS-531 Phone: (562) 985-5097 Email: phuong.nguyen@csulb.edu Website: www.csulb.edu/~pnguyen Office Hours: Mon and Wed 9:00 - 9:50 am Tue 10:15 am - 11:15 am Spring 2019 Semester CECS 277 Lecture : MW 10:00 am- 10:50 am. EN 102 Lab: MW 11:00 am- 12:15 pm ECS 416 CECS 470 Lecture : MW 1:00 pm - 1:50 pm. ECS 407 Lab: MW 2:00 pm - 3:15 pm ECS 407 CECS 475 Lecture : TTH 8:00 am- 8:50 am. ECS 302 Lab: TTH 9:00 am- 10:15 Am ECS 416 diff --git a/src/data/compiled_bios/2881.txt b/src/data/compiled_bios/2881.txt new file mode 100644 index 0000000000..a59001442a --- /dev/null +++ b/src/data/compiled_bios/2881.txt @@ -0,0 +1 @@ +Home Lab Teaching Projects Talks Activities Publications Me Legalese Dr. Birgit Penzenstadler (Dipl.-Inf. Univ.) News Become a signatory: Karlskrona Manifesto Contact birgit dot penzenstadler at csulb.edu 1250 Bellflower Boulevard Long Beach, CA-90840-8302 Research group Xing LinkedIn ResearchGate Engineering4Change CV ORCID Tweets by @twinkleflip !function(d,s,id){var js,fjs=d.getElementsByTagName(s)[0],p=/^http:/.test(d.location)?'http':'https';if(!d.getElementById(id)){js=d.createElement(s);js.id=id;js.src=p+"://platform.twitter.com/widgets.js";fjs.parentNode.insertBefore(js,fjs);}}(document,"script","twitter-wjs"); Projects Resilient Smart Gardens Showcase, 2017-2018 Fortified Cards, 2015-2016 Video Gaming Pilot Project with Prof. Adam Moore from the Dept. of Films & Electronics Arts, 2016 Sewage Pipeline Inspection with the Long Beach Water Department, 2015-2016 Senior Year Software Projects with Long Beach Non-profits (since 2015) Immersive Design Research Lab collaboration with Prof. Heather Barker (since 2015) The Karlskrona Manifesto on Sustainability Design (since 2014) NaPiRE : "Naming the Pain in Requirements Engineering" in collaboration with TUM (since 2014) Project SE4S Software Engineering for Sustainability, at UCI, with the DFG (2013-2015) The Story of Stuff Citizen Muscle Bootcamp (2014-2015) innotracing - capturing the messiness of innovation, Peter Pribilla Foundation (2012 - 2014) REedu Requirements Engineering Education ARAMiS Automotive, Railway and Avionics Multicore Systems (2011 - 2014) RE Analysis & Optimization , Deutsche Lufthansa AG, 2011 ProdFLOW IV , Siemens CT, 2011/12 ReForm , Deutsche Forschungsgemeinschaft, 2010/2011 ProdFLOW III , Siemens CT, 2010/2011 FaDy , BMW, 2010/2011 RE Solution 6 , Siemens M, 2010 Quasar Requirements School , Cap Gemini sd&m, 2009/2010 REMsES , BMBF, Daimler, Bosch, Universitt Duisburg Essen, Validas, 2007-2009 SysRe , Siemens VDO, 2006-2009 Talks Keynote: Workshop MeGSuS at ESEM, October 2018 Software Engineering for Sustainability Intl. Summer School at Lappenraanta University, Finland, August 2017 Requirements for Sustainability: Imagining the Sustainable Society Intl. Summer School on Information and Communication Technology for Sustainability, July 2017 Application of Artifact-Based RE in Fortified Cards Poster presentation at the Intl. Conf. on Requirements Engineering, Beijing, September 2016 Designing sustainable futures with software Talk at the Wonder Women Tech Conference, Long Beach, California, July 2016 Software Engineers help change the World - Innovations towards a Sustainable Future Innovation Open House event within the LACounty innovation weeks, CSULB, Oct 2015 Designing Future Software for Sustainability: The Karlskrona Manifesto Lightning talk at the Grace Hopper Conference, Oct 2015 Manifesting the Ghost of the Future: Sustainability Lightning talk at the 3rd Workshop on Sustainable Software for Science Practice and Experiences (WSSSPE3) September 28-29, 2015, Boulder, CO Computer Science is exciting - and Sustainability Research even more! Invited Talk at the Shared Science Tech Girls workshop Houghton Park Community Center, Long Beach, July 2015 Artifact-Oriented Requirements Engineering: Principles and Practice University of Pisa, Italy, RE'15 Mini Workshop, May 2015 Guest lecture at Engineering Honor's Program College of Engineering, CSULB, March 2015 Guest lecture at Introduction to Computer Engineering and Computer Science College of Engineering, CSULB, March 2015 Research Highlight Talk at Engineering Honor's Program Luncheon College of Engineering, CSULB, February 2015 Talk at California State University Long Beach: "Environmentally Sustainable Software Systems by Requirements Engineering", March'14 Guest lecture "Social Analysis in Computerization: The Crux of Green Software Engineering" at the course INF161 Social Analysis in Computerization, University of California, Irvine, November 2013 Guest lecture on "Can we make Software Engineering more environmentally sustainable?" at the ICS 5 course "Environmental Issues in Information Technology", University of California, Irvine, November 2013 Guest lecture on "Software Engineering for Sustainability" at the ICS 5 course "Environmental Issues in Information Technology", University of California, Irvine, March 2013 Sustainability in Software Engineering Invited talk at the University of California, Irvine, June 2012 The Notion of Sustainability in Software Engineering Invited Talk at the University of Zrich, May 2012 Successful Student Seminars ProLehre Workshop for University Didactics, May 2012 Current Software Engineering Research Topics: RE in Embedded Systems and Software Quality Assessment Talk at the "Brasilian Roadshow" of TUM Intl. Office for a delegation of Brazilian professors, May 2011 Requirements Engineering for Automation Systems Invited Talk at the Workshop for Functional Design for Distributed Automation Systems, April 2011 Sustainability in Software Engineering? Aspects and Research Potential Talk at 'Perlen der Informatik', TUM, February 2011 DeSyRe - Decomposition of Systems and their Requirements Doctoral Examination ("Rigorosum"), TUM, January 2011 "Experiences at the Instituto Tecnologico de Costa Rica" Event day for exchanges with Latin America, TUM International Office, November 2010 (and Nov'11) "Investigaciones @TUM Software & Systems Engineering" "Decomposicion de Sistemas y sus Requerimientos" "Doctorado en Alemania y Opciones para Intercambio" Invited Talks during a Research Stay at Instituto Tecnologico de Costa Rica , COOPEN Report Aug/Sept 2010 Soft Skills REquired Invited talk at the GI Working Group Requirements , March 2010 Team "Rich Pictures" for Gotham City Fire Department RE's Next Top Model Contest at the Intl. IEEE Conference on Requirements Engineering, August 2009 Forschung und Lehre, Berufsbild: Doktorand Invited Talk at Frauennetzwerk Informatik at the University of Passau, May 2009 Evaluierung und Erprobung von Anstzen beim modellbasierten Design in Software Produktlinien Talk at Perlen der Informatik , TUM, November 2006 Activities Sustainability Task Force at CSULB for the Working Group on Faculty Research Support IEEE Software Conference Correspondent for Requirements Engineering, part of the IEEE Software Initiatives Team Organization Committees ICSE 2021 SEIS Program Co-chair CAiSE 2020 Publicity Co-chair Workshop SE4Science at ICSE19 Co-Chair ESEM'18 Publicity Chair RE'18 Workshops Co-Chair ICT4S'18 Program Chair ICSE'18 Student Volunteer Co-Chair 6th Intl. Workshop RE4SuSy at RE'17: Organizer 1st Intl. Workshop on Design and Innovation in Software Engineering at ICSE: Co-Organizer and Moderator 5th Intl. Workshop RE4SuSy at RE'16: Organizer Wonder Women Tech in Long Beach, July 2016 Workshop on Engineering for Sustainable Software Systems at Informatik'16: Organizer M4SuS: 1st International Workshop on Modularity for Sustainable Systems at Modularity 2016, Malaga, Spain, March 2016 24th Intl. Conf. on Requirements Engineering : Posters/Tool Demonstrations Co-Chair, Sept 2016 International Workshop on Sustainable Software Systems Engineering (SSSE15) at the 13th IEEE International Conference on Dependable, Autonomic and Secure Computing, 26-28 October 2015, Liverpool, UK: Co-Organizer 4th Intl. Workshop RE4SuSy at RE'15: Organizer Workshop ICT for Sustainability at iConference, March 2015: Organizer 23rd Intl. Conf. on Requirements Engineering : Publicity Co-Chair, August 2015 3rd Intl. Workshop RE4SuSy at RE'14: Organizer 8th Intl. Workshop REET at RE'14: Co-Organizer 22nd Intl. Conf. on Requirements Engineering : Publicity Co-Chair USA, August 2014 Second Intl. Conference on ICT for Sustainability (ITC4S) : Workshops Chair, July 2014 2nd Intl. Workshop on Green In Software Engineering Green By Software Engineering (GIBSE) at Modularity, April'14 Intl. Working Conf. on Requirements Engineering: Foundations for Software Quality : Program Co-Chair for Workshops, March 2014 21st IEEE Intl. Conf. on RE : Working Session on a Requirements Engineering Body of Knowledge, July 2013, Rio 2nd Intl. Workshop RE4SuSy at RE'13: Organizer 21st IEEE Intl. Conf. on Requirements Engineering : Program Co-Chair for Posters, Tools & Demos, Sustainability Chair, July 2013, Rio 1st Intl. Workshop on Green In Software Engineering Green By Software Engineering (GIBSE) at AOSD'13, March 24-29, Fukuoka, Japan Symposium Informatik und Nachhaltigkeit trotz Wandel: Wechselwirkungen in einer vernetzten Gesellschaft , 3rd of July 2012, Munich 1st Intl. Workshop on Requirements Engineering for Sustainable Systems (RE4SuSy) , at REFSQ 2012, Essen, Germany: Organizer Program Committee Member ESEM 2019 - Emerging Results and Vision Papers INFORMATIK 2019 EMoWI19 Intl. Conf. on RE'19 Intl. Conf. ICSE 2019 Software Engineering in Society (SEIS) Track ESEM Emerging Results Track 2018 ESEM Technical Track 2018 Intl. Workshop on RE4SuSy 2018 Intl. Workshop on Green User Experience, ACM-EICS 2018 22nd Intl. Conf. on Evaluation and Assessment in Software Engineering (EASE) 2018, Christchurch, NZ Intl. Conf. on RE'18 International ACM Workshop on LIMITS 2018 Intl. Conf. ICSE 2018 Software Engineering in Society (SEIS) Track 10th Intl. Workshop on Requirements Engineering and Law (RELAW) 18th International Conference on Product-Focused Software Process Improvement (PROFES), November 2017 Intl. Conference on Requirements Engineering, Workshops 2017 Intl. Conf. ICSE 2017 Software Engineering in Society (SEIS) Track International Conference on ICT for Sustainability ICT4S 2016 Intl. Workshop GREENS 2016 24th Intl Working Conference on Requirements Engineering: Foundations for Software Quality REFSQ 2016 P&T PC 3rd International Workshop on Emerging Ideas and Trends in Engineering of Cyber-Physical Systems 24th Intl. Conf. on Requirements Engineering 2016 20th Intl. Conf. Evaluation and Assessment in Software Engineering 2016 Intl. Conf. ICSE 2016 Software Engineering in Society (SEIS) Track Intl. Conf. Working Conference on Requirements Engineering: Foundations for Software Quality 2016 Workshop on Software Engineering for Social Sustainability at the International Conference on ICT for Sustainability (ICT4S) 2015, Copenhagen, Denmark, September 2015 2nd International Workshop on Measurement and Metrics for Green and Sustainable Software (MEGSuS'15) 8th Intl. Workshop on Requirements Engineering and Law (RELAW) 1st Intl. Workshop on Personalization and Recommender Systems in Financial Services Intl. Workshop Sustainable Architecture: Global collaboration, Requirements, Analysis (SAGRA) at ECSA Intl Conf on Requirements Engineering RE 2015 Posters & Demos RE 2015 Workshop on Empirical RE Intl. Workshop GInSEng 2015 at the 10th International Conference on Global Software Engineering 7th International Conference on Information Technologies in Environmental Engineering International Conference on ICT for Sustainability ICT4S 2015 Intl. Workshop GREENS 2015 5th International Workshop on Product LinE Approaches in Software Engineering (at ICSE'15) Intl. Computer Science Education Research Conference (CSERC) 2015 Workshop "Next Generation of Modularity Approaches for Multiple Dimensions of Sustainability" at Modularity 2015 23rd Intl. Conf. on Requirements Engineering 2015 ICSE 2015 Software Engineering In Society Track (SEIS) 1st Green in Software Engineering Workshop at ICGSE 2014 International Workshop on Software Analysis, Visualization and Refactoring at FSE'14 3rd International Conference on Eco-friendly Computing and Communication System (ICECCS 2014), 18-21 December 2014, Mangalore, India. Software Engineering Aspects of Green Computing (SEAGC) Track at the 30th ACM Symposium on Applied Computing 4th Workshop on Empirical Requirements Engineering (EmpiRE) 1st International Workshop on Measurement and Metrics for Green and Sustainable Software (MEGSuS'14) First Intl. Workshop on Sustainable Software Product Lines SUSPL Second Intl. Workshop on Sustainable Software for Science: Practice and Experiences (WSSSPE2) Intl. Computer Science Education Research Conference (CSERC) 2014 EASED @EnviroInfo 2014 RE 2014 Posters & Demos RE 2014 Workshops GREENS 2014 Workshop LehRE 25.02.2014 at the Software Engineering 2014 Konferenz EASE'14 CSEE&T 2014 Second International Conference on ICT for Sustainability (ICT4S 2014), in Stockholm, August 24-27 2014 Software Engineering Aspects of Green Computing The 29th Annual ACM Symposium on Applied Computing, 2014 Energy Aware Software-Engineering and Development (EASED@GI 2013) EASED: Energy Aware Software-Engineering and Development at BUIS GREENS at ICSE'13 3rd Computer Science Education Research Conference (Arnhem, Netherlands, April 2013) 21st International Conference on Requirements Engineering (Rio, July 2013) 17th International Conference on Evaluation and Assessment in Software Engineering Software Engineering Aspects of Green Computing The 28th Annual ACM Symposium on Applied Computing, March 18-22, 2013, Coimbra, Portugal 4th Intl. Workshop on Social Software Engineering (at ESEC/FSE 2011) 5th Intl. Workshop on Software Product Management (at RE) 4th Intl. Workshop on Multimedia and Enjoyable Requirements Engineering (at RE 2011) 6th Intl. Workshop on Requirements Engineering Education and Training (at RE 2011) 3rd Intl. Workshop on Multimedia and Enjoyable Requirements Engineering (at RE 2010) Workshop on Domain-specific Modeling at the Modellierung 2008 Reviewer / Referee IEEE Software Transactions on Software Engineering Journal of Systems and Software Requirements Engineering Journal Journal on "Sustainable Computing: Informatics and Systems" (SUSCOM) Journal of Software: Evolution and Process Environmental Impact Assessment Review Journal of Cleaner Production Sustainability (SUSTDE) Science of Computer Programming (SCICO) SWEBOK The Computer Journal Information Systems and e-Business Management Resources, Conservation & Recycling Future Generation Computer Systems MDPI Sustainability IREB Memberships Fellow of the Peter Pribilla Foundation Working Group RE for Product Lines (Gesellschaft fr Informatik) Working Group Soft Skills Required (Gesellschaft fr Informatik) IEEE Member Volunteering Nepal project with Conscious Impact CSULB NCWIT task force CSULB Sustainability Task Force Engineering 4 Change CyberMentor Publications Statistics In case you would like to read any of the following publications and can't get them, please feel free to send me an email. Journal Articles Status Quo in Requirements Engineering: A Theory and a Global Family of Surveys Wagner et al., TOSEM Deroche, G. & Penzenstadler, B. (2018). An Analysis of Best Practice Patterns for Corporate Social Responsibility in Top IT Companies. MDPI Sustainability. Khakurel, J., Penzenstadler, B., Porras, J., Knuttas, A., & Zhang, W. L. (2018). The Rise of AI under the Lens of Sustainability. MDPI Technology, Special Issue on Green ICT. Nardi, B., Tomlinson, B., Patterson, D., Chen, J., Pargman, D., Raghavan, B., & Penzenstadler, B. (2018). Computing within limits. Communications of the ACM. Resilient Smart Gardens - Explorations for a Blueprint Birgit Penzenstadler MDPI Sustainability A Catalogue Supporting Software Sustainability Design Shola Oyedeji, Ahmed Seffah, Birgit Penzenstadler MDPI Sustainability Software Sustainability: Research and Practice from a Software Architecture Viewpoint Colin Venters, Rafael Capilla, Stefanie Betz, Birgit Penzenstadler, Tom Crick, Steve Crouch, Elisa Yumi Nakagawa, Christoph Becker, Carlos Carrillo Journal of Systems and Software, 2017 Sustainability Analysis and Ease of Learning in Artifact-based Requirements Engineering: The Newest Member of the Family of Studies (It's a girl!) Birgit Penzenstadler Information and Software Technology, Special Issue on Automation and Analytics for Greener Software Engineering, 2017 Software Engineering for Sustainability: Find the Leverage Points! B Penzenstadler, L Duboc, Colin Venters, S Betz, N Seyff, C Wnuk, R Chitchyan, S Easterbrook, C Becker IEEE Software 2017 Editorial: Reality check for software engineering for sustainability - pragmatism required P Lago, B Penzenstadler Journal of Software: Evolution and Process, 2017, DOI: 10.1002/smr.1856 Report on the Third Workshop on Sustainable Software for Science: Practice and Experiences (WSSSPE3) Daniel S. Katz, Sou-Cheng T. Choi, Kyle E. Niemeyer, James Hetherington, Frank Lffler, Dan Gunter, Ray Idaszak, Steven R. Brandt, Mark A. Miller, Sandra Gessing, Nick D. Jones, Nic Weber, Suresh Marru, Gabrielle Allen, Birgit Penzenstadler, Colin Venters, Ethan Davis, Lorraine Hwang, Ilian Todorov, Abani Patra, Miguel de Val-Borro Journal of Open Research Software, 2016 Naming the Pain in Requirements Engineering: Contemporary Problems, Causes, and Effects in Practice Mendez, Briand, Zimmer, Wagner, Kalinowski, Felderer, Mafra, Vetro, Conte, Christiansson, Greer, Lassenius, Mannisto, Nayebi, Oivo, Penzenstadler, Pfahl, Prikladnicki, Ruhe, Schekelmann, Sagar, Ospinola, Vara, Tuzcu, and Wieringa Empirical Software Engineering, 2016 Requirements: The Key to Sustainability Christoph Becker, Stefanie Betz, Ruzanna Chitchyan, Leticia Duboc, Steve Easterbrook, Birgit Penzenstadler, Norbert Seyff, Colin Venters IEEE Software Special Issue: The Future of Software Engineering Framing Sustainability as a Software Quality Property Patricia Lago, Sedef Akinli Kocak, Ivica Crnkovic, Birgit Penzenstadler Accepted for Communications of the ACM, 2015 The Emergence of Creativity, Innovation and Leadership in Micro-level Social Interactions and How to Research it Hans Lundberg, Ian Sutherland, Paul Blazek, Birgit Penzenstadler and Hagen Habicht International Journal of Industrial Engineering and Management, Vol 5, Issue 4, 2014 Artefact-based Requirements Engineering: The AMDiRE Approach Daniel Mendez Fernandez, Birgit Penzenstadler Requirements Engineering, 2014 Safety, Security, now Sustainability: the Non-Functional Requirement for the 21st Century Birgit Penzenstadler, Ankita Raturi, Debra Richardson, Bill Tomlinson IEEE Software Special Issue on Green Software, April 2014 Exploring initial challenges for green software engineering: summary of the first GREENS workshop, at ICSE 2012 Lago, Patricia and Kazman, Rick and Meyer, Niklaus and Morisio, Maurizio and Mller, Hausi A and Paulisch, Frances and Scanniello, Giuseppe and Penzenstadler, Birgit and Zimmermann, Olaf ACM SIGSOFT Software Engineering Notes, 38:1 (31-33), 2013 Guiding Requirements Engineering for software-intensive Embedded Systems in the Automotive Industry Peter Braun, Manfred Broy, Frank Houdek, Matthias Kirchmayr, Mark Mller, Birgit Penzenstadler, Klaus Pohl, Thorsten Weyer in Journal Computer Science Research and Development, October 2010 Conference Papers Crowd Focused Semi-Automated Requirements Engineering for Evolution Towards Sustainability Norbert Seyff, Stefanie Betz, Iris Groher, Melanie Stade, Ruzanna Chitchyan, Letcia Duboc, Birgit Penzenstadler, Colin Venters and Christoph Becker RE@Next! track of RE'18 Tailoring Requirements Negotiation to Sustainability Norbert Seyff, Stefanie Betz, Leticia Duboc, Christoph Becker, Ruzanna Chitchyan, Birgit Penzenstadler, Colin C. Venters and Markus Noebauer Industrial Innovation Track of the 26th International Requirements Engineering Conference (RE'18) Penzenstadler, B., Betz, S., Venters, C. C., Chitchyan, R., Porras, J., Seyff, N., ... Becker, C. (2018). Everything is INTERRELATED: teaching software engineering for sustainability. In Proceedings of the 40th International Conference on Software Engineering: Software Engineering Education and Training (pp. 153162). ACM. Living with smartwatches and pedometers: the intergenerational gap in internal and external contexts Porras, Jari; Khakurel, Jayden; Tella, Susanna; Penzenstadler, Birgit; Melkas, Helin GOODTECHS 2017, Pisa, Italy The evolving perceptions of sustainability in CS and SE education: findings from a master's programme Jari Porras, Maria Palacin-Silva and Birgit Penzenstadler Intl. Conference on Software Engineering Education and Training, CSEET 2017 New Frontiers for Requirements Engineering David Callele, Krzysztof Wnuk, Birgit Penzenstadler Intl. Conf. on Requirements Engineering 2017, NIER track Recruitment and Retention Efforts to Broaden Participation in Four Computing and Engineering Programs Alvaro Monge, Birgit Penzenstadler, Panadda Marayong, Shadnaz Asgari, Praveen Shankar American Society for Engineering Education (ASEE) 2017 Pacific Southwest Conference Characterising sustainability requirements: a new species, red herring, or just an odd fish? C Venters, N Seyff, C Becker, S Betz, R Chitchyan, L Duboc, D McIntyre, B Penzenstadler Intl. Conf. on Software Engineering, Software Engineering in Society Track, Buenos Aires, 2017 Application of Artifact-Based RE in Fortified Cards S Pradhan, AV Patil, B Penzenstadler Requirements Engineering Conference (RE), 2016 IEEE 24th International, 395-396 Sustainability Design in Requirements Engineering: State of Practice Ruzanna Chitchyan, Christoph Becker, Stefanie Betz, Leticia Duboc, Birgit Penzenstadler, Norbert Seyff, Colin Venters International Conference on Software Engineering Track Software Engineering in Society, Austin, May 2016 The First Rule of Software Sustainability: Do not talk about Software Sustainability? Colin C. Venters, Christoph Becker, Stefanie Betz, Ruzanna Chitchyan, Leticia Duboc, Steve M. Easterbrook, Birgit Penzenstadler, Guillermo Rodriguez-Navas, and Norbert Seyff Position Paper: CSESSP2015: Computational Science & Engineering Software Sustainability and Productivity Challenges La Chispa de la Ciudad de Mexico: Co-Creation of Organizational Innovations and its Implications for Managing Innovation Hans Lundberg, Ian Sutherland, Birgit Penzenstadler, Paul Blazek, Hagen Habicht MCPC 2015 Sustainability Design and Software: The Karlskrona Manifesto Christoph Becker, Ruzanna Chitchyan, Leticia Duboc, Steve Easterbrook, Birgit Penzenstadler, Norbert Seyff, and Colin Venters Software Engineering in Society (SEIS) at ICSE 2015 A toolkit for SE for sustainability - a design fiction Birgit Penzenstadler HCI International 2015 ICT4S 2029: What will be the Systems Supporting Sustainability in 15 Years? ( Presentation ) Birgit Penzenstadler, Bill Tomlinson, Eric Baumer, Marcel Pufal, Ankita Raturi, Debra Richardson, Baki Cakici, Ruzanna Chitchyan, Georges Da Costa, Lynn Dombrowski, Malin Picha Edwardsson, Elina Eriksson, Xavier Franch, Gillian R. Hayes, Christina Herzog, Wolfgang Lohmann, Martin Mahaux, Alistair Mavin, Melissa Mazmanian, Sahand Nayebaziz, Juliet Norton, Daniel Pargman, Donald J. Patterson, Jean-Marc Pierson, Kristin Roher, M. Six Silberman, Kevin Simonson, Andrew W. Torrance, Andre van der Hoek 2nd Intl Conf on ICT for Sustainability (ICT4S 2014) Stockholm, Sweden, August 2014 (nominated for best paper award) Investigating the Moment-to-Moment Unfolding of Innovation, Creativity and Leadership with the Methodology InnoTracing and the Software Tool InnoTrace Ian Sutherland, Hans Lundberg, Paul Blazek, Birgit Penzenstadler and Hagen Habicht 6th International Conference on Mass Customization and Personalization in Central Europe Pumping up the Citizen Muscle Bootcamp: Improving user experience in online learning Beth Karlin, Birgit Penzenstadler, Allison Cook 16th International Conference on Human-Computer Interaction, Heraklion, Crete, Greece, June 2014 Systematic Mapping Study on Software Engineering for Sustainability (SE4S) Birgit Penzenstadler, Ankita Raturi, Debra Richardson, Coral Calero, Henning Femmer and Xavier Franch 18th Intl. Conf on Evaluation and Assessment in Software Engineering, London, May 2014 State of the Practice for Sustainability as an Explicit Objective (Empirical Track) Report and raw data Birgit Penzenstadler, Mahvish Khurum, Kai Petersen Intl. Conf. on Requirements Engineering: Foundations for Software Quality 2014 InnoTracing: A Framework to Investigate the Moment-to-Moment Unfolding of Leadership, Creativity and Innovation Ian Sutherland, Paul Blazek, Birgit Penzenstadler, Hans Lundberg, Hagen Habicht 7th World Conference on Mass Customization, Personalization, and Co-Creation, 2014 Understanding the Impact of Artefact-based RE - Design of a Replication Study. B. Penzenstadler, D. Mendez Fernandez, J. Eckhardt Proc. of the 7th International Symposium on Empirical Software Engineering and Measurement (ESEM '13), IEEE, 2013. Baltimore, USA University Meets Industry: Calling in Real Stakeholders Birgit Penzenstadler, Martin Mahaux, Patrick Heymans 26th IEEE-CS Conference on Software Engineering Education and Training (CSEE&T'13), San Francisco, USA Risk Identification at the Interface Between Business Case and Requirements David Callele, Birgit Penzenstadler, Krzysztof Wnuk Intl. Conference on Requirements Engineering: Software for Quality, REFSQ 2013, Essen, Germany RE4S: Support Environmental Sustainability by Requirements Engineering Birgit Penzenstadler, Bill Tomlinson, Debra Richardson 1st Intl. Workshop on Requirements Engineering for Sustainable Systems (RE4SuSy) at REFSQ'12 Towards a Definition of Sustainability in and for Software Engineering , PDF Birgit Penzenstadler 28th Annual ACM Symposium on Applied Computing (SAC), Track SEAGC , March 18-22 2013, Coimbra, Portugal What does Sustainability mean in and for Software Engineering? (Poster) Birgit Penzenstadler 1st International Conference on ICT for Sustainability ( ICT4S ), February 2013, Zrich, Switzerland Jumpstart Sustainability in Seminars: Hands-on Experiences in Class Birgit Penzenstadler, Veronika Bauer 2nd Intl. Computer Science Education Research Conference (CSERC'2012), Warsaw, Poland, September 2012 Supporting Sustainability Aspects in Software Engineering Birgit Penzenstadler 3rd International Conference on Computational Sustainability ( CompSust'12 ), Copenhagen Sustainability in Software Engineering: A Systematic Literature Review Birgit Penzenstadler, Veronika Bauer, Coral Calero, Xavier Franch 16th Intl. Conf. on Evaluation and Assessment in Software Engineering ( EASE ), Cuidad Real 2012 Pattern-Based Guideline to Empirically Analyse Software Development Processes Daniel Mendez Fernandez, Birgit Penzenstadler, Marco Kuhrmann 16th Intl. Conf. on Evaluation and Assessment in Software Engineering ( EASE ), Cuidad Real 2012 Massively distributed Authorship of Academic Papers B. Tomlinson, J. Ross, P. Andre, E. Baumer, D. Patterson, J. Corneli, M. Mahaux, S. Nobarany, M. Lazzari, B. Penzenstadler, A. Torrance, D. Callele, G. Olson, S. Silberman, M. Stnder, F. Palamedi, A. Salah, E. Morrill, X. Franch, F. Mueller, J. Kaye, R. Black, M. Cohn, P. Shih, J. Brewer, N. Goyal, P. Nkki, J. Huang, N. Baghaei, C. Saper alt.chi track at the ACM SIGCHI Conference on Human Factors in Computing Systems'12 From Requirements to Models: Feedback Generation as a Result of Formalization Leonid Kof, Birgit Penzenstadler 23rd International Conference on Advanced Information Systems Engineering (CAiSE) 2011, London. A Case Study on the Application of an Artefact-Based Requirements Engineering Approach Daniel Mendez Fernandez, Klaus Lochmann, Birgit Penzenstadler, Stefan Wagner 15th Intl. Conf. on Evaluation and Assessment in Software Engineering, Durham 2011 Teach Sustainability in Software Engineering? Birgit Penzenstadler, Andreas Fleischmann 24th IEEE-CS Conference on Software Engineering Education and Training ( CSEET ) at ICSE A Meta Model for Artefact-Orientation: Fundamentals and Lessons Learned in Requirements Engineering D. Mendez Fernandez, B. Penzenstadler, M. Kuhrmann, M. Broy 13th Intl. Conf. on Model Driven Engineering Languages and Systems (MoDELS '10), 2010. Oslo, Norway A Requirements Reference Model for Model-Based Requirements Engineering in the Automotive Domain Penzenstadler, B.; Sikora, E. & Pohl, K. Intl. Working Conf. on Requirements Engineering: Foundation for Software Quality ( REFSQ ), June 2009 High Confidence Subsystem Modelling for Reuse Birgit Penzenstadler, Dagmar Koss International Conference for Software Reuse( ICSR ), May 2008 Modeling CoCoME with Focus/AutoFocus Manfred Broy, Jorge Fox, Florian Hlzl, Dagmar Koss, Marco Kuhrmann, Michael Meisinger, Birgit Penzenstadler, Sabine Rittmann, Bernhard Schtz, Maria Spichkova, Doris Wild Conference: The Common Component Modeling Example. Comparing Software Component Models, Bibtex , August 2007 Book chapters Software Engineering for Sustainability: Tools for Sustainability Analysis Birgit Penzenstadler and Colin C. Venters in 'Digital Technology and Sustainability Engaging the Paradox', Edited by Mike Hazas, Lisa Nathan, 2018, Routledge From Requirements Engineering to Green Requirements Engineering Birgit Penzenstadler In: Green in Software Engineering, Coral Calero and Mario Piattini Editors, Springer 2014 Workshop Papers Shola Oyedeji and Birgit Penzenstadler Karlskrona Manifesto: Software Requirement Engineering Good Practices 7th Intl. Workshop RE4SuSy David Callele, Birgit Penzenstadler and Krzysztof Wnuk Public Policy Challenges: An RE Perspective 7th Intl. Workshop RE4SuSy Timo Kehrer and Birgit Penzenstadler An Exploration of Sustainability Thinking in Research Software Engineering 7th Intl. Workshop RE4SuSy Birgit Penzenstadler, Jason Plojo, Marinela Sanchez, Ruben Marin, Lam Tran, and Jayden Khakurel The DIY Resilient Smart Garden Kit Intl. ACM Workshop on LIMITS 2018 at ICT4S Madeleine L. Gibson, Colin C. Venters, Leticia Duboc, Stefanie Betz, Ruzanna Chitchyan, Victoria Palacin Silva, Birgit Penzenstadler and Norbert Seyff Mind the Chasm: A FishEye Lens View of Sustainable Software Engineering 6th Intl. Workshop on RE4SuSy 2017 Shola Oyedeji, Ahmed Seffah and Birgit Penzenstadler Sustainability Quantification in Requirements Informing Design 6th Intl. Workshop on RE4SuSy 2017 Birgit Penzenstadler, Colin Venters, Christoph Becker, Stefanie Betz, Ruzanna Chitchyan, Leticia Duboc, Steve Easterbrook, Guillermo Rodriguez-Navas and Norbert Seyff Lightning Talk: Manifesting the Ghost of the Future: Sustainability WSSSPE3 2015 Stefanie Betz, Christoph Becker, Ruzanna Chitchyan, Leticia Duboc, Steve Easterbrook, Birgit Penzenstadler, Norbert Seyff, Colin C. Venters Sustainability Debt: A Metaphor to Support Sustainability Design Decisions 4th International Workshop on Requirements Engineering for Sustainable Systems (RE4SuSy), Ottawa, Canada, August 2015 Ruzanna Chitchyan, Stefanie Betz, Leticia Duboc, Birgit Penzenstadler, Christophe Ponsard, Colin C. Venters Evidencing Sustainability Design through Examples 4th International Workshop on Requirements Engineering for Sustainable Systems (RE4SuSy), Ottawa, Canada, August 2015 Guillermo Rodriguez-Navas, Leticia Duboc, Stefanie Betz, Ruzanna Chitchyan, Birgit Penzenstadler, Colin C. Venters Safety vs. Sustainability Design: Analogies, Differences and Potential Synergies 4th International Workshop on Requirements Engineering for Sustainable Systems (RE4SuSy), Ottawa, Canada, August 2015 GRL for Representing the Sustainability Reference Model 8th International i* Workshop Mind the Gap: Bridging the Sustainable Software Systems Research Divide Sedef Akinli Kocak, Christoph Becker, Stefanie Betz, Ruzanna Chitchyan, Leticia Duboc, Steve Easterbrook, Birgit Penzenstadler, Guillermo Rodriguez-Navas, Norbert Seyff, Colin C. Venters Intl. Workshop British HCI 2015 Sustainable HCI in the UK Collapse (and Other Futures) Software Engineering Birgit Penzenstadler, Ankita Raturi, Debra J. Richardson, M. Six Silberman, and Bill Tomlinson at the LIMITS workshop, June 15/16, Irvine, CA, USA Supporting Physicians by RE4S Birgit Penzenstadler, Joseph Mehrabi, Debra Richardson International Workshop GREENS at the International Conference on Software Engineering 2015 Infusing Green: Requirements Engineering for Green In and Through Software Systems Birgit Penzenstadler 3rd Intl. Workshop on Requirements Engineering for Sustainable Systems Using Non-Profit Partners to Engage Students in RE Birgit Penzenstadler, Debra Richardson, Beth Karlin, Allison Cook, David Callele, Krzysztof Wnuk 8th Intl. Workshop on Requirements Engineering Education and Training Developing a Sustainability Non-Functional Requirements Framework Ankita Raturi, Birgit Penzenstadler, Debra Richardson and Bill Tomlinson 3rd Intl Workshop GREENS at ICSE'14, India Two Replication Studies for Evaluating Artefact Models in RE: Results and Lessons Learnt. B. Penzenstadler, J. Eckhardt, D. Mendez Fernandez Proc. of the 3rd International Workshop on Replication in Empirical Software Engineering Research (RESER '13), IEEE, 2013. Baltimore, USA Inter-Domain Requirements and their Future Realisability: The ARAMiS Cyber-Physical Systems Scenario Birgit Penzenstadler, Jonas Eckhardt, Wolfgang Schwitzer, Maria Victoria Cengarle, Sebastian Voss International Workshop on Cyber-Physical Systems (IWCPS'13), Federated Conference On Computer Science and Information Systems 2013 RE@21: Time to Sustain! Birgit Penzenstadler, Henning Femmer 2nd International Workshop on Requirements Engineering for Sustainable Systems, RE, Rio 2013 An Assessment Technique for Sustainability: Applying the IMAGINE Approach to Software Systems Alejandra Rodriguez, Birgit Penzenstadler 2nd International Workshop on Requirements Engineering for Sustainable Systems, RE, Rio 2013 Domestic Plant Guilds: A Software System for Sustainability Juliet Norton, Alex J. Stringfellow, Joseph J. LaViola Jr., Birgit Penzenstadler and Bill Tomlinson 2nd International Workshop on Requirements Engineering for Sustainable Systems, RE, Rio 2013 Requirements Engineering as a Surrogate for Business Case Analysis in a Mobile Applications Startup Context David Callele, Aubrie Boyer, Kent Brown, Krzysztof Wnuk and Birgit Penzestadler From Start-up to SaaS Conglomerate: Life Cycles of Software Products (IWLCSP'13) at ICSOB'13 Who Is the Advocate? Stakeholders for Sustainability Birgit Penzenstadler, Henning Femmer, Debra Richardson 2nd International Workshop on Green and Sustainable Software, at ICSE 2013, San Francisco Towards Incorporating Sustainability while Taking Software Product Management Decisions Birgit Penzenstadler, Mahvish Khurum, Kai Petersen 7th International Workshop of Software Product Management, at REFSQ, Essen, Germany, 2013, ISPMA Best Paper Award A Generic Model for Sustainability with Process- and Product-specific Instances ( DOI ) Birgit Penzenstadler, Henning Femmer 1st Intl. Workshop on Green In Software Engineering, Green By Software Engineering (at AOSD'13) A Requirements Engineering Content Model for Cyber-physical Systems Birgit Penzenstadler, Jonas Eckhardt 2nd International Workshop on Requirements Engineering for Systems of Systems, RESS, Chicago 2012 Support Environmental Sustainability by Requirements Engineering Birgit Penzenstadler, Bill Tomlinson, Debra Richardson 1st International Workshop on Requirements Engineering for Sustainable Systems, REFSQ, Essen 2012 Exactly the Information your Subcontractor Needs: DeSyRe - Decomposing System Requirements Birgit Penzenstadler 1st International Workshop on Requirements Patterns, 2011. Trento, Italia Faster from Requirements Documents to System Models: Interactive Semi-Automatic Translation Leonid Kof, Birgit Penzenstadler Requirements Engineering Efficiency Workshop (REEW) at REFSQ 2011 Prototyping RE Experiments in the Classroom: An Experience Report Birgit Penzenstadler and David Callele, workshop REET at RE2010, September 2010 Soft Skills REquired: A practical approach on how to introduce soft skills in the engineering world Penzenstadler, B.; Frenzel, G.; Haller, G.; Schlosser, T. Intl. Workshop on Collaboration and Intercultural Issues on Requirements: Communication, Understanding and Softskills ( CIRCUS ) at the International Conference on Requirements Engineering, August 2009 Tackling Automotive Challenges with an Integrated RE & Design Artifact Model Birgit Penzenstadler Intl. Workshop on System/Software Architecture ( IWSSA ), Nov 2008 Complying with Law for RE in the Automotive Domain Joerg Leuser, Birgit Penzenstadler Workshop "Requirements Engineering and Law"( RELAW ) at the 16th IEEE Requirements Engineering Conference, Sept 2008 Reusable Subsystems from an overall System Specification Doctoral Symposium at the Software Product Line Conference ( SPLC ), September 2007 Transfer Publications The Human Factor JC Carver, B Penzenstadler, A Serebrenik, A Yamashita IEEE Software 34 (5), 90-92 Requirements, Human Values, and the Development Technology Landscape JC Carver, LL Minku, B Penzenstadler IEEE Software 34 (1), 13-15 Probing Questions, Participatory Democracy, Quality Assurance, and Customer Data Jeffrey C. Carver, Maria Paasivaara, and Birgit Penzenstadler IEEE Software column Practitioner's Digest, September/October 2016 Product Lines, Energy Conservation, Use Cases, Agile Development, and Infotainment Jeffrey C. Carver, Eduardo Santana de Almeida, Rafael Capilla, Leandro L. Minku, Henry Muccini, and Birgit Penzenstadler IEEE Software column Practitioner's Digest, May/June 2016 Requirements Engineering: Die Schlsseldisziplin fr nachhaltige Software- und Systementwicklung Stefanie Betz, Norbert Seyff, Birgit Penzenstadler, Christoph Becker Softwaretechnik Trends, 2016 Sustainability and Requirements: A Manifesto B Penzenstadler Software, IEEE 32 (5), 90-92 Collaborations and Code Reviews Jeffrey C. Carver, Bora Caglayan, Mayy Habayeb, Birgit Penzenstadler, and Aiko Yamashita IEEE Software column Practitioner's Digest, September/October 2015 Automotive Software Engineering Manfred Broy, Birgit Penzenstadler, Sascha Schwind Studienguide Informatik 2011, Mrz 2011 Zwischenbericht des AK Requirements-Engineering-Frameworks und Produktlinien Andreas Birk, Samuel Fricker, Eva Geisberger, Gerald Heller, Dirk Janzen, Thomas von der Maen, Birgit Penzenstadler and Klaus Schmid in GI Softwaretechnik-Trends, 2008 Edited Special Issues JSEP Special Issue on Software Engineering for Sustainability, 2016 Edited Proceedings Proceedings of the 5th Intl. Conf. on ICT for Sustainability Birgit Penzenstadler, Steve Easterbrook, Colin Venters and Syed Ishtiaque Ahmed Proceedings of the 6th Intl. Workshop on Requirements Engineering for Sustainable Systems (RE4SuSy) Birgit Penzenstadler, Camille Salinesi, Ruzanna Chitchyan CEUR-WS 2017 Proceedings of the 4th Intl. Workshop on Requirements Engineering for Sustainable Systems (RE4SuSy) Birgit Penzenstadler, Martin Mauhaux, Camille Salinesi, Ruzanna Chitchyan, Leticia Duboc CEUR-WS 2015 Joint Workshop Proceedings of the Second International Conference on ICT for Sustainability 2015 Birgit Penzenstadler, Wolfgang Lohmann Proceedings of the 3rd Intl. Workshop on Requirements Engineering for Sustainable Systems (RE4SuSy) Birgit Penzenstadler, Martin Mauhaux, Camille Salinesi Proceedings of the 8th Intl. Workshop on Requirements Engineering Education and Training (REET) Birgit Penzenstadler, Sarah Gregory, Dieter Landes Joint Proceedings of the REFSQ Workshops, Doctoral Symposium, Empirical Track, and Posters 2014 Birgit Penzenstadler, Anne Persson, Andrea Herrmann, Maya Daneva, Joerg Doerr, Anne Hoffmann, Kurt Schneider, Axel Kalenborn, Marcus Trapp, Roel Wieringa, Daniel M. Berry, Xavier Franch, Jolita Ralyte, Krzysztof Wnuk, Vincenzo Gervasi CEUR-WS, 2014 Proceedings of the 2nd Intl. Workshop on Requirements Engineering for Sustainable Systems (RE4SuSy) Birgit Penzenstadler, Martin Mahaux, Camille Salinesi CEUR-WS, 2013, urn:nbn:de:0074-995-9 18th International Working Conference on Requirements Engineering: Foundation for Software Quality. Proceedings of the Workshops RE4SuSy, REEW, CreaRE, RePriCo, IWSPM and the Conference Related Empirical Study, Empirical Fair and Doctoral Symposium Richard Berntsson-Svensson, Daniel Berry, Maya Daneva, Jrg Drr, Samuel A. Fricker, Andrea Herrmann, Georg Herzwurm, Marjo Kauppinen, Nazim H. Madhavji, Martin Mahaux, Barbara Paech, Birgit Penzenstadler, Wolfram Pietsch, Camille Salinesi, Kurt Schneider, Norbert Seyff, Inge van de Weerd Research Report No52 University of Duisburg-Essen, 2012 Unrefereed Publications Birgit Penzenstadler, Jari Porras, Maria Victoria Palacin Silva, Victor Araujo, Atefe Maleki, Valentin Poirot, Aigerim Zhalgasbekova, Emil Hedemalm, Olga Rybnytska, Manish Lamichhane, Andrey Kochemassov, Felipe Leon, Tamara Belyakhina, Henrique Sarmento, Chandara Chea, Mustaqim Rahman, Rafiul Sabbirttindoy, Shola Oyedeji, Jayden Khakurel, Saku Arho, Olli Kousa, Nhi Vo. Technical Report on the Project Results of the Masters course on Software Engineering for Sustainability Lappeenranta University of Technology, 2016 Report on the 3rd Workshop on sustainable software for science: Practice and Experiences (WSSSPE3) Karlskrona Manifesto on Sustainability Design Christoph Becker, Ruzanna Chitchyan, Leticia Duboc, Steve Easterbrook, Martin Mahaux, Birgit Penzenstadler, Guillermo Rodriguez-Navas, Camille Salinesi, Norbert Seyff, Colin Venters, Coral Calero, Sedef Akinli Kocak, Stefanie Betz From Requirements Engineering to Green Requirements Engineering Birgit Penzenstadler Green in Software Engineering, Eds. Calero and Piattini, Springer, 2015 Project Cognatio: Developing a System for Medication Adherence (Evaluation of Requirements Engineering for Sustainability) Joseph Mehrabi, Birgit Penzenstadler, Debra Richardson TechReport Institute for Software Research, University of California, Irvine, 2014, UCI-ISR-14-4 Green Calico - Reengineering Requirements for Sustainability for a Collaborative Drawing Tool Christopher Arciniega, Birgit Penzenstadler TechReport Institute for Software Research, University of California, Irvine, 2014, UCI-ISR-14-2 Systematic Mapping Study on Software Engineering for Sustainability (SE4S) --- Protocol and Results Penzenstadler, Birgit and Raturi, Ankita and Richardson, Debra and Calero, Coral and Femmer, Henning and Franch, Xavier TechReport Institute for Software Research, University of California, Irvine, 2014, UCI-ISR-14-1 The Requirements Engineering Body of Knowledge Birgit Penzenstadler, Daniel Mendez, Debra Richardson, David Callele, Krzysztof Wnuk Working Session at the 21st Intl. Conf. on Requirements Engineering, Rio 2013 AMDiRE - Artefact Model for Domain-independent RE - A Small Cheat Sheet D. Mendez Fernandez, B. Penzenstadler, M. Broy, J. Eckhardt, H. Femmer Technical Report, Institut fr Informatik, Technische Universitt Mnchen, 2013. A Generic Model for Sustainability Birgit Penzenstadler, Henning Femmer TechReport, November 2012 An Assessment Technique for Sustainability: Applying the IMAGINE Approach to Software Systems Alejandra Rodriguez, Birgit Penzenstadler TechReport, November 2012 The 'Battle' of Requirements Classification Birgit Penzenstadler, pp.165-169 in Norbert Seyff and Anne Koziolek (eds.), Modelling and Quality in Requirements Engineering: Essays Dedicated to Martin Glinz on the Occasion of His 60th Birthday, Mnster: Monsenstein und Vannerdat, 2012. Mini-Guideline to Requirements Engineering Birgit Penzenstadler TechReport, June 2012 Sustainability in Software Engineering - A Systematic Literature Review for Building Up a Knowledge Base Birgit Penzenstadler TechReport, January 2012 Seminar: Sustainability in Software Engineering Birgit Penzenstadler, Veronika Bauer, Andreas Fleischmann (eds.) TechReport, Oktober 2011 Software Architecture in Depth Lars Heinemann, Christian Neumann, Birgit Penzenstadler, Wassiou Sitou (eds.) TechReport, April 2010 Requirements Engineering and Management for software-intensive Embedded Systems (REMsES) Manfred Broy, Frank Houdek, Matthias Kirchmayr, Mark Mller, Birgit Penzenstadler, Klaus Pohl, Thorsten Weyer, Peter Braun TechReport, Jan 2010 Towards an Integrated Approach to Requirement Engineering Broy, Fleischmann, Islam, Kof, Lochmann, Leuxner, Penzenstadler, Mendez, Sitou, Winter TechReport, Dec 2009 Designing, Documenting, and Evaluating Software Architecture David Bettencourt da Cruz, Birgit Penzenstadler Technical Report, bibtex , June 2008 Umfassendes Architekturmodell fr das Engineering eingebetteter Software-intensiver Systeme Manfred Broy, Martin Feilkas, Johannes Grnbauer, Alexander Gruler, Alexander Harhurin, Judith Hartmann, Birgit Penzenstadler, Bernhard Schtz, Doris Wild Technical Report, June 2008 Theses Software Engineering for Sustainability Habilitation, January 2015 DeSyRe - Decomposition of Systems and their Requirements Doctoral Dissertation, January 2011 Evaluation and testing of approaches to support variants in model-based design for software product lines Diploma Thesis, June 2006 diff --git a/src/data/compiled_bios/2882.txt b/src/data/compiled_bios/2882.txt new file mode 100644 index 0000000000..b781cc8762 --- /dev/null +++ b/src/data/compiled_bios/2882.txt @@ -0,0 +1 @@ +Dr. Jelena Trajkovic joined the Department of Computer Engineering and Computer Science at California State University, Long Beach as an Assistant Professor in Fall 2018. She received her PhD (2009) and MS (2003) in Information and Computer Science from the University of California, Irvine, and a Dipl. Ing. degree in Electrical Engineering from University of Belgrade, Serbia (2000). Dr. Trajkovic was a ReSMiQ postdoctoral scholar at Ecole Polytechnique de Montreal (2010-2012) and an Assistant Professor (2012-2018) in the Electrical and Computer Engineering Department at Concordia University in Montreal, where she still holds an Affiliate Assistant Professor appointment.Dr. Trajkovic has extensive research experience in the domains of computer architecture, computer-aided design, network-on-chip, silicon photonics, multicore systems, parallel applications for biomedical vision applications, and avionics systems. Her research has been recognized by three Best Paper Awards at international conferences, and the Graduate Deans Dissertation Fellowship at UC Irvine. Dr. Trajkovics research interests include multicore embedded systems, pervasive computing, and Internet of Things technologies for critical biomedical and control applications. Dr. Trajkovic is also the recipient of the Teaching Excellence Award at Concordia University. diff --git a/src/data/compiled_bios/2883.txt b/src/data/compiled_bios/2883.txt new file mode 100644 index 0000000000..ee42efb528 --- /dev/null +++ b/src/data/compiled_bios/2883.txt @@ -0,0 +1 @@ +Dr. Wu received his BS in Mechanical Engineering from the Nanjing University of Aeronautics & Astronautics in 1998 and his Ph.D. in Electrical and Computer Engineering from the University of Nevada, Las Vegas in 2007. At CSULB, he teaches introductory undergraduate courses such as logic design and IC design in the Computer Engineering program. Dr. Wu's research interests include network on chip/system on chip design, IC design, interconnection network, and reliability modeling. He is an IEEE member. diff --git a/src/data/compiled_bios/2884.txt b/src/data/compiled_bios/2884.txt new file mode 100644 index 0000000000..69c3d8f444 --- /dev/null +++ b/src/data/compiled_bios/2884.txt @@ -0,0 +1 @@ +Dr. Wenlu Zhang joined the CSULB Department of Computer Engineering & Computer Science as an Assistant Professor in Fall 2017. She worked as a postdoctoral associate in the Washington State University School of Electrical Engineering and Computer Science for one year after earning her Ph.D. in Computer Science from Old Dominion University in 2016.Dr. Zhang received an Outstanding Research Assistant Award while a graduate student at Old Dominion. She and her team participated in the MICCAI Challenge on Circuit Reconstruction from Electron Microscopy Images (CREMI). Her team ranked first on synaptic cleft detection and second on neuron segmentation tasks. Zhang also serves as a program committee member for the ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) and the ACM International Conference on Information and Knowledge Management (CIKM). diff --git a/src/data/compiled_bios/2885.txt b/src/data/compiled_bios/2885.txt new file mode 100644 index 0000000000..ef5e2c1c31 --- /dev/null +++ b/src/data/compiled_bios/2885.txt @@ -0,0 +1 @@ +Software development, sales, installation, and support. diff --git a/src/data/compiled_bios/2886.txt b/src/data/compiled_bios/2886.txt new file mode 100644 index 0000000000..4fda065199 --- /dev/null +++ b/src/data/compiled_bios/2886.txt @@ -0,0 +1 @@ +Arnold Hacketts career in engineering, strategy development, and management began when he joined Xerox as a summer intern. Now, three decades and three degrees later, he is the companys Vice President of Alliance and Partnership Management, a role that affords him the opportunity to develop innovative business services and solutions with vendors and software developers from around the globe. Hacketts work as an engineer and in support of the companys global initiatives also led to him earning the prestigious Lean Six Sigma Black Belt certification.Throughout his life, Hackett has always found time for his true passionvolunteer service. In addition to serving on several nonprofit boards, including those at the engineering schools at CSULB, UCLA, and USC, Hackett is a dedicated STEM mentor who works with K-12 students of color; his major focus is teaching middle-school children of color to code. Hackett has been recognized by John Muir High School, which named him to its alumni hall of fame; by the Los Angeles Chapter of the NAACP, which presented him with its Youth Council Man of Valor Award; and by the organizers of the Black Engineer of the Year Awards, which named him a Modern-Day Technology Leader. diff --git a/src/data/compiled_bios/2887.txt b/src/data/compiled_bios/2887.txt new file mode 100644 index 0000000000..b5867e1abc --- /dev/null +++ b/src/data/compiled_bios/2887.txt @@ -0,0 +1 @@ +CECS 274 Home Page CECS 277 Home Page CECS 323 Home Page Mimi Opkins I am a full-time lecturer here at Cal State Long Beach. I've been teaching for more than 30 years both here at Long Beach and six years at Goldenwest College in Huntington Beach. This semester I am teaching: CECS 277 - Object Oriented Application Development CECS 323 - Database Fundamentals CECS 470 - Web Development I worked full-time as a Developer, Analyst, Architect and Team Lead for various local companies for 30 years. I have a Bachelor's Degree in Mathematics/Computer Science and a Master's Degree in Computer Science both from this college. My interests outside of school include web development, reading, sewing and embroidery. I especially enjoy Java and web programming along with a renewed interest in Calculus. Latest Update: Monday, 08-Jan-2018 12:09:22 PST mimi.opkins@csulb.edu [Top of Page] diff --git a/src/data/compiled_bios/2888.txt b/src/data/compiled_bios/2888.txt new file mode 100644 index 0000000000..6fc7c3dec4 --- /dev/null +++ b/src/data/compiled_bios/2888.txt @@ -0,0 +1 @@ + Adjunct Professor Phone: 617-373-3051 FAX: 617-373-4431 Email: abur@ece.neu.edu Office: 409 Dana Research Center Northeastern University Website: Personal Website Educational Background Orta Dogu Teknik Universitesi, Turkey in 1979 M.S. Ohio State University in 1981 B.S. Ohio State University in 1985 Research Interests Power System State Estimation Awards & Honors IEEE Distinguished Lecturer on State Estimation and the Use of PMU Measurements Selected Publications Gl, M. and Abur, A., Observability and Criticality Analyses for Power Systems Measured by Phasor Measurements , Accepted for publication in IEEE Transactions on Power Systems. Emami, R. and Abur, A., External System Line Outage Identification Using Phasor Measurement Units, Accepted for publication in IEEE Transactions on Power Systems. Korkal ? , M. and Abur, A., Optimal Deployment of Wide - Area Synchronized Measurements for Fault - Location Observability, IEEE Transactions on Power Systems , Feb. 2013, Vol . 28, No: 1 , pp.482 - 489 . Liuxi Zhang and Abur, A., Strategic Placement of Phasor Measurements for Parameter Error Identification, IEEE Transactions on Power Systems, Feb. 2013, Vol . 28, No: 1 , pp.393 - 400 . Liuxi Zhang and Abur, A., Single and Double Edge Cut - set Identification in Large Scale Power Networks, IEEE Transactions on Power Systems, Feb. 2012, Vol. 27, No:1, pp.510 - 516. Korkal ? , M., Lev - Ari, H. and Abur, A., Traveling - Wave - Based Fault - Location Technique for Transmission Grids via Wide - Area Synchronized Voltage Measurements, IEEE Transactions on Power Systems, May 2012, Vol. 27, No: 2, pp.1003 - 1011. Poon, K.K.Y., Emami, R., Bose, A. an d Abur, A., External Data Exchange Issues for State Estimation in Power Systems, IEEE Transactions on Power Systems, May 2012, Vol. 27, No:2, pp.849 - 856. Gl, M. and Abur, A., Synchro - Phasor Based Three Phase State Estimation Using Modal Components, Proceedings of the IEEE Innovative and Smart Grid Technologies, Berlin , Germany , 14 - 17 October, 2012. Tarali, A. and Abur, A., Bad Data Detection in Two - Stage State Estimation Using Phasor Measurements , Proceedings of the IEEE Innovative and Smart Grid Technologies, Berlin , Germany , 14 - 17 October, 2012. Liuxi Zhang and Abur, A., Impact of Tuning on Bad Data Detection of PMU Measurements, Proceedings of the IEEE Innovative Smart Grid Technologies (Asia), Tianjin, China, 21 - 24 May 2012. : diff --git a/src/data/compiled_bios/2889.txt b/src/data/compiled_bios/2889.txt new file mode 100644 index 0000000000..c6f970c8de --- /dev/null +++ b/src/data/compiled_bios/2889.txt @@ -0,0 +1 @@ + Associate Professor Phone: 979-862-4985 FAX: 979-845-6443 Email: rbalog@tamu.edu Office: WEB 205D Google Scholar Profile Educational Background Ph.D., University of Illinois, Urbana-Champaign, 2006 MSEE, University of Illinois, Urbana-Champaign, 2002 BSEE, Rutgers University, 1996 Research Interests Advance power electronics systems and controls solar photovoltaic and electrical energy storage power systems Photovoltaic balance of systems (BOS) Non-planer photovoltaic systems and BiPV Techno-economic optimization of renewable resource-based energy systems Microgrids and distributed DC power systems Power quality enhancement in AC electrical distribution system Model predicative control of power electronic systems Power electronics for solid state lighting (LED) Research Centers Director, Renewable Energy and Advanced Power Electronics Laboratory (REAPER) Co-Director, National Science Foundation Industry / University Collaborative Research Center (I/UCRC) on Next Generation Photovoltaics (NGPV) Patents & Intellectual Property "Apparatus and method for controlling DC-AC power conversion," U.S. Patent 9,806,628, issued October 31, 2017. "Apparatus for Converting Direct Current to Alternating Current using Multiple Converters," U.S. Patent 9,722,504, issued August 1, 2017. "Method and System for Detecting Arc Faults and Flashes Using Wavelets," U.S. Patent 9,329,220 issued May 3, 2016. "Encryption Key Distribution System and Method," U.S. Patent 9,270,448 issued Feb. 23, 2016. "Apparatus and method for controlling DC-AC power conversion," U.S. Patent 9,225,256, issued Dec 29, 2015. "Apparatus for Converting Direct Current to Alternating Current using a Frequency Converter," U.S. Patent 9,093,919 issued July 28, 2015. "Power Inverter Docking System for Photovoltaic Modules," U.S. Patent 8,929,094 issued Jan 6, 2015. "Apparatus for Securing Panels to Substrates," U.S. Patent 8,727,291 issued May 20, 2014. "Apparatus and Method for Controlling DC-AC Power Conversion," U.S. Patent 8,482,947 issued July 9, 2013. "Power inverter docking system for photovoltaic modules," U.S. Patent 8,462,518, issued June 11, 2013. "Methods for Minimizing Double-Frequency Ripple Power in Single-Phase Power Conditioners," U.S. Patent 8,325,499, issued Dec 4, 2012. "Apparatus for Converting Direct Current to Alternating Current using an Active Filter to Reduce Double-Frequency Ripple Power of Bus Waveform," U.S. Patent 8,279,642, issued Oct 02, 2012. "System and Apparatus for Interconnecting an Array of Power Generating Assemblies," U.S. Patent 8,227,942 issued July 24, 2012. "System and Apparatus for Interconnecting an Array of Power Generating Assemblies," U.S. Patent 8,207,637, issued June 26, 2012. "Methods for Minimizing Double-Frequency Ripple Power in Single-Phase Power Conditioners," U.S. Patent 8,004,865, issued Aug 23, 2011. "Methods for Minimizing Double-Frequency Ripple Power in Single-Phase Power Conditioners," U.S. Patent 7,755,916, issued July 13, 2010. "Commutation Technique for an AC-to-AC Converter," U.S. Patent 7,187,149, issued Mar. 6, 2007. "Lighting Control System for Different Load Types," U.S. Patent 6,188,181, issued Feb. 13, 2001. Books and Book Chapters R.S. Balog, M. Shadmand, M. Metry, The Load as a Controlled Energy Asset in DC Microgrids, in DC Distribution Systems and Microgrids, London, United Kingdom: The Institute of Engineering and Technology, 2018. A. Kwasinski, W. Weaver, and R. S. Balog, Microgrids and other Local Area Power and Energy Systems, Cambridge, United Kingdom: Cambridge University Press, 2016. R. S. Balog and A. Davoudi, "Batteries, Battery Management and Battery Charging Technology," in Encyclopedia of Sustainability Science and Technology, vol. 2, R. A. Meyers, Ed.: Springer Verlag, 2012, pp. 671-706. Other Professional Activities Technical Program Chair, Institute of Electrical & Electronics Engineers, Inc. (IEEE) Energy Conversion Congress and Exposition (ECCE) 2016 Institute of Electrical & Electronics Engineers, Inc. (IEEE) Power Electronics society: ADCOM member, 2010 present Mentorship co-Chair, 2017-present Member-at-Large, 2015-2017 Membership co-Chair, 2012-2014 Inaugural Young Professionals Chair (formerly Graduates of the Last Decade) Underwriters Laboratory (UL) Standards development Technical reviewer for most power electronics related conferences and journals Awards & Honors Patent and Innovation Award, Texas A&M University System Office of Technology Commercializations, 2017 Distinguished Lecturer, IEEE Power Electronics Society, 2018-2019 Distinguished Engineer Award, Rutgers College of Engineering, 2011 Eagle Scout, Boy Scouts of America Licensed Professional Engineer, Illinois Google Scholar Profile : diff --git a/src/data/compiled_bios/289.txt b/src/data/compiled_bios/289.txt new file mode 100644 index 0000000000..b700a8c185 --- /dev/null +++ b/src/data/compiled_bios/289.txt @@ -0,0 +1 @@ +Loading [MathJax]/jax/output/HTML-CSS/fonts/STIX/fontdata.js Skip navigation | Acrobat Reader | Flash Player | Text Version clemson.edu clemson.edu/ces/computing/ A-Z Index Calendar Campus Maps CU Safety Phonebook Webcams clemson.edu people places Andrew T. Duchowski Clemson Home CoES Home School of Computing A. T. Duchowski Home Online Resum Curriculum Vitae Teaching Statement Publications (note: state-of-the-art ca. 2005) Research Visual perception and human-computer interaction Computer graphics, eye tracking, virtual environments Computer vision and digital imaging Wavelet and multi-resolution analysis j , k ( x ) = 2 j / 2 ( 2 j x k ) , j , k ( x ) = 2 j / 2 ( 2 j x k ) , j , k Z Teaching DPA 4010/6010: Tech. Foundations II Service Organizer, SIGGRAPH 2018 Groovy Graphics Assignments Education Focus Area Chair, SIGGRAPH 2019 Co-editor, CGEMS Co-organizer, Dagstuhl Seminar on Ubiquitous Gaze Sensing and Interaction Steering Committee Chair, ETRA 2018 Outreach Co-organizer, MobileHCI 2018 Tutorial : Mobile Eye Tracking: Technical Principles Co-organizer, ETRA 2018 Tutorial : Gaze Analytics Pipeline Course Leader, CU Summer Scholars Course on Human-Computer Interaction Through Eye Tracking Monograph Links Conferences Travel Publications Site Maintained by: A. T. Duchowski , School of Computing 100 McAdams Hall, Clemson, S.C. 29634 | duchowski [at] clemson.edu | (864) 656-7677 Site Index: A B C D E F G H I J K L M N O P Q R S T U V W X Y Z Contact 864-656-3311 Clemson University Clemson, South Carolina 29634 Contact Clemson Make a Gift Audiences Prospective Students Current Students Faculty/Staff Parents/Families Corporations Visitors Alumni Featured Links About Clemson Academics Admissions Athletics Campus Life Media Relations Research Policy & Terms of Use Text Version Copyright Information Ethics/Fraud Hot Line Privacy Policy Site Information newsroom facebook twitter youtube flickr Social Media Copyright 2012 Clemson University, Clemson, South Carolina. All Rights Reserved. Website Technical Contact: Office of Creative Services diff --git a/src/data/compiled_bios/2890.txt b/src/data/compiled_bios/2890.txt new file mode 100644 index 0000000000..824b7d8aff --- /dev/null +++ b/src/data/compiled_bios/2890.txt @@ -0,0 +1 @@ + Department Head Carolyn S. & Tommie E. Lohman 59 Professor Phone: 979-862-1553 FAX: 979-845-6259 Email: begovic@tamu.edu Office: WEB 301I Google Scholar Profile Educational Background Ph.D., Virginia Polytechnic Institute and State University, 1989 M.S., Belgrade University, Belgrade, Serbia, 1985 B.S., Belgrade University, Belgrade, Serbia, 1980 Research Interests Wide area monitoring Protection and emergency control using smart grid apparatus Sustainable and resilient energy infrastructures Managing large assets in energy infrastructure. Awards & Honors IEEE Fellow Google Scholar Profile : diff --git a/src/data/compiled_bios/2891.txt b/src/data/compiled_bios/2891.txt new file mode 100644 index 0000000000..2dee6e5afa --- /dev/null +++ b/src/data/compiled_bios/2891.txt @@ -0,0 +1 @@ + Robert M. Kennedy '26 Professor II Phone: 979-845-7484 Email: spb@tamu.edu Office: WEB 244C Website: Personal Website Google Scholar Profile Educational Background Ph.D., Rice University, 1971 Control Systems M.S. 1969 B.Tech (IIT-Bombay, 1967) Research Interests Automatic Control Systems Multivariable Control System Analysis and Design Computer Aided Control System Design (CACSD) Robust Stability and Control Theory and Applications Awards & Honors Awarded the Professor Visitante Especial in September 2013 by the Brazilian Research Council, 2014-2917 Elected Foreign Member of Academia Brasileira de Ciencias (Brazilian Academia of Sciences), 2011 International Federation of Automatic Control (IFAC) Fellow Award, 2011 Outstanding ECEN Professor Award, 2009. Senior TEES Fellow, 2000 Boeing-Welliver Faculty Fellow, 1998 Dresser Industries Professor, 1992 Halliburton Professor, 1991 IEEE Fellow, 1989 TEES Fellow, 1989, 1999. National Academy of Sciences- NASA Research Fellow, 1974 - 1975 held at the Marshall Space Flight Center. Government of India Scholar 1962 - 67. Selected Publications S.Khadroui, H.Nounou, M.Nounou, A.Datta and S.P.Bhattacharyya, ``Robust Control Design Method Using a Set of Measurements Proc. of the 2013 American Control Conference, pp.4325-4330, Washington, DC 2013. S.Khadroui, H.Nounou, M.Nounou, A.Datta and S.P.Bhattacharyya, ``Design of Reduced Order Controllers Using a Set of Measurements: Application to a DC Servomotor,Proc of the 2013 American Control Conference, pp.4331-4336, Washington, DC 2013. S.Khadroui, H.Nounou, M.Nounou, A.Datta and S.P.Bhattacharyya, ``A Measurement Based Approach for Tuning Reduced Order Controllers,Proc of the 2013 American Control Conference, pp.3876-3881, Washington, DC 2013. N. Mohsenizadeh, H. Nounou, M. Nounou, A. Datta and S.P. Bhattacharyya, A Measurement Based Approach to Mechanical Systems, Proc. of 9th Asian Control Conf., Istanbul, Turkey, June 23 - 26, 2013. P. Kallakuri, L.H. Keel, and S.P. Bhattacharyya, "Multivariable controller design with integrity," Proceedings of the 2013 American Control Conference, pp. 5166 - 5171, Washington, DC, June 17 - 19, 2013. N. Mohsenizadeh, H. Nounou, M. Nounou, A. Datta and S.P. Bhattacharyya, A Measurement Based Approach to Circuit Design, Proc. of IASTED International Conf. on Engineering and Applied Science, Colombo, Sri Lanka, December 27 - 29, 2012, pp. 27 - 34. R. Layek, H. Nounou, M. Nounou, A. Datta and S. P. Bhattacharyya, A Measurement Based Approach for Linear Circuit Modeling and Design, Proc. of 51th IEEE Conference on Decision and Control, Maui, Hawaii, USA, December 10 - 13, 2012. M.J. Knap, L.H. Keel, and S.P. Bhattacharyya, Controller design and Gauss-Lucas theorem, Proc. of the 2012 American Control Conference, Montreal, Canada, June 27 - 29, 2012. N. Mohsenizadeh, S. Darbha, L.H. Keel and S.P. Bhattacharyya, Model-Free Synthesis of Fixed Structure Stabilizing Controllers Using the Rate of Change of Phase, Proc. of IFAC Conference on Advances in PID Control, Brescia, Italy, March 28 - 30, 2012. Google Scholar Profile : diff --git a/src/data/compiled_bios/2892.txt b/src/data/compiled_bios/2892.txt new file mode 100644 index 0000000000..5bdad69a6d --- /dev/null +++ b/src/data/compiled_bios/2892.txt @@ -0,0 +1 @@ + Associate Professor Phone: 979-862-6441 Email: ulisses@tamu.edu Office: WEB 236B Website: Personal Website Google Scholar Profile Educational Background Ph.D., The Johns Hopkins University, 2002, Electrical & Computer Engineering M.S.E., The Johns Hopkins University, 1998, Electrical & Computer Engineering M.S.E., The Johns Hopkins University, 1998, Mathematical Sciences M.S., State University of Campinas, 1994, Electrical Engineering, Campinas, Brazil B.S., Federal University of Pernambuco, 1992, Electrical Engineering, Recife, Brazil Research Interests Statistical Signal Processing Pattern Recognition and Machine Learning Collaborative Applications in Bioinformatics and Materials Informatics Selected Publications U.M. Braga-Neto and E.R. Dougherty, Error Estimation for Pattern Recognition, Wiley-IEEE, 2015. M. Imani and U.M. Braga-Neto, Finite-Horizon LQR Controller for Partially-Observed Boolean Dynamical Systems, Automatica, Vol. 95, Sep 2018, pp. 172-179. A. Karbalayghareh, U.M. Braga-Neto, and E.R. Dougherty, Intrinsically Bayesian robust classifier for single-cell gene expression trajectories in gene regulatory networks, BMC Systems Biology, Vol. 12 (Suppl 3), Mar 2018, p. 23. A. Bahadorinejad and U.M. Braga-Neto, Optimal Fault Detection and Diagnosis in Transcriptional Circuits using Next-Generation Sequencing, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol. 15, Issue 2, Mar-Apr 2018. M. Imani and U.M. Braga-Neto, Gene regulatory network state estimation from arbitrary correlated measurements, EURASIP Journal on Advances in Signal Processing, Vol. 2018, Apr 2018, p. 22. M. Imani and U.M. Braga-Neto, Particle Filters for Partially-Observed Boolean Dynamical Systems, Automatica, Vol. 87, Jan 2018, pp 238-250. L.D. Mcclenny, M. Imani and U. M Braga-Neto, BoolFilter: an R package for estimation and identification of Partially-Observed Boolean Dynamical Systems, BMC Bioinformatics, Vol. 87, Jan 2018, pp 238-250. M. Imani and U.M. Braga-Neto, Maximum-Likelihood Adaptive Filter for Partially-Observed Boolean Dynamical Systems, IEEE Transactions on Signal Processing, Vol. 65, No. 2, Jan 2017, pp. 359-371. U. Banerjee and U.M. Braga-Neto, Bayesian ABC-MCMC Classification of Liquid-Chromatography Mass Spectrometry Data, Cancer Informatics, Vol. 2015(Supp 5), Jan 2017, pp. 175-182. T. Chen and U.M. Braga-Neto, "Maximum-Likelihood Estimation of the Discrete Coefficient of Determination in Stochastic Boolean Systems," IEEE Transactions on Signal Processing, Vol. 61, No. 15, August 1 2013, pp. 3880-3894. Y. Sun, J. Zhang, U.M. Braga-Neto and E.R. Dougherty, "BPDA2d -- A 2D global optimization based Bayesian peptide detection algorithm for LC-MS," Bioinformatics, Vol. 28, No. 4, February 2012, pp. 564-572. U.M. Braga-Neto, "Optimal State Estimation for Boolean Dynamical Systems," Proceedings of the 45th Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, November 2011. A. Zollanvari, U.M. Braga-Neto and E.R. Dougherty, "Joint Sampling Distribution Between Actual and Estimated Classification Errors for Linear Discriminant Analysis," IEEE Transactions on Information Theory, Vol. 56, No. 2, February 2010, pp. 784-804. E.J.M. Nascimento, U.M. Braga-Neto, C. Calvazara, A.L. Gomes, F. Abath, B. Acioli, C.A.A. Brito, M.T. Cordeiro, A.M. Silva, C. Magalhaes, R. Andrade, L.H.V.G. Gil and E.T.A. Marques, Jr., "Gene Expression Profiling During Acute Stage of Dengue Infection," PLoS ONE, Vol. 4, No. 11, Nov 2009, p. e7892, doi:10.1371/journal.pone.0007892. U.M. Braga-Neto, "Fads and Fallacies in the Name of Small-Sample Microarray Classification," IEEE Signal Processing Magazine, Special Issue on Signal Processing Methods in Genomics and Proteomics, Vol. 24, No. 1, January 2007, pp. 91-99. U.M. Braga-Neto and E.A.T. Marques, Jr., "From Functional Genomics to Functional Immunomics: New Challenges, Old Problems, Big Rewards," PLoS Computational Biology, Vol. 2, No. 7, July 2006, p. e81 U.M. Braga-Neto and E. Dougherty, "Bolstered Error Estimation," Pattern Recognition, Vol. 37, No. 6, June 2004, pp. 1267-1281. U.M. Braga-Neto and E. Dougherty, "Is Cross-Validation Valid for Small-Sample Microarray Classification?" Bioinformatics, Vol. 20, No. 3, February 2004, pp. 374-380. Google Scholar Profile : diff --git a/src/data/compiled_bios/2893.txt b/src/data/compiled_bios/2893.txt new file mode 100644 index 0000000000..66f71062ef --- /dev/null +++ b/src/data/compiled_bios/2893.txt @@ -0,0 +1 @@ + Adjunct Professor Phone: 979-862-6441 FAX: 979-845-6259 Email: fbln@ecomp.poli.br Website: Research Website Educational Background Ph.D. + DIC, 2002, Imperial College, University of London MSC, 1998, Federal University of Pernambuco BSC, 1991, Catholic University of Pernambuco Laureate Cadet of Army Reserve Officers Academy of Recife (CPOR), 1984, Brazil. Research Interests Research Topics (Current) Theory Problem Reduction (Modeling approaches for hard problems primarily by developing new Metaheuristics). Reality Understanding (Interfacing for re-significations using Computational Semiotics). Application Optimization (Simulations based at Neuro-computation | Evolutionary Computation | Swarm Computation). Decision Support (Applying in Health Systems | Logistics | Engineering | Automotive Industry | Agriculture Industry). Awards & Honors Alexander von Humboldt Fellow (AvH), 2014, Germany. Accredited Researcher of Brazilian Council of Scientific Research (CNPq), since 2011, Brazil. Senior Fellow of Institute of Electrical and Electronic Engineers (IEEE), since 2007, USA. : diff --git a/src/data/compiled_bios/2894.txt b/src/data/compiled_bios/2894.txt new file mode 100644 index 0000000000..6b6a4fe2f5 --- /dev/null +++ b/src/data/compiled_bios/2894.txt @@ -0,0 +1 @@ + Professor Associate Provost for Graduate and Professional Studies Phone: 979-845-3631 FAX: 979-845-6259 Email: klbutler@tamu.edu Office: ADMN 312D Website: Research Website Google Scholar Profile Educational Background B.S. E.E. Southern Univeristy at Baton Rouge 1985 M.S. E.E. University of Texas at Austin 1987 Ph.D. E.E. Howard University 1994 Research Interests Computer and Intelligent Systems Application to Power Distribution Systems, Distribution Automation and Management, Fault Diagnosis Estimation of Remaining Life of Transformers, Intelligent Reconfiguration System Modeling and Simulation for Hybrid Vehicles Selected Publications K.L. Butler, "Predictive Maintenance of Distribution Systems using Intelligent Systems," Invited Tutorial at Workshop on AI Techniques Applied to Electrical Distribution Systems,Dec. 18, 1996, Kanpur, India. H.J. Do Carmo and K.L. Butler, "Computer Transformer Models for Prediction of Aging and Deterioration, Proceedings of 1996 North American Power Symposium, Nov. 1996, Boston, MA., pp. 101-108. K.L. Butler, K.M. Stevens, and M. Ehsani, "A Versatile Computer Simulation Tool for Design and Analysis of Electric and Hybrid Drive Trains," Proceedings of 1997 Society of Automotive Engineers Conference, Feb.1997, Detroit, MI. K.L. Butler, J. Momoh, L. Dias, and D. Sobaiic, "An Approach to Power Distribution Fault Diagnosis using Neural Net based Supervised Clustering Methodology," International Journal of Engineering Intelligent Systems, March 1997, pp. 51-57. K.L. Butler and H. Do Carmo, "Modeling of Transformers for Determination of Aging and Deterioration," Proceedings of the 1996 Rural Electric Power Conference, April 1996, Fort Worth, Texas. G. Garcia, N. Stubbs, and K. Butler, "Relative Performance Evaluation of Pattern Recognition Models for Non-Destructive Damage Detection," Proceedings of 1996 SPIE Symposium on Smart Structures and Materials, February 26-29, 1996, San Diego, CA. K. Butler, "An Expert System Based Framework for Incipient Failure Detection and Predictive Maintenance," Proceedings of 1996 Intelligent System Application to Power Systems Conference, January 1996, pp. 321-326. K. Butler, "Intelligent Prediction of Transformer Remaining Life," Invited Presentation to PES Working Group on Intelligent Systems Applications to T & D Problems, 1996 PES Winter Meeting, January 1996. N. Stubbs and K. Butler, "A Decision Support System to Predict Casualties in Multi-Hazardous Environments," Proceedings of Natural Hazard Mitigation Grantees Workshop, April, 1995. Karen L. Butler. "Neural Networks Application to Power Systems," Invited Tutorial, Presented to Engineers at the National Electric Power Authority, January 1995, Nigeria, Africa. Karen L. Butler. "Neural Networks for Distribution System State Estimation," Proceedings of the 2nd International Workshop on Power Systems Operations and Planning, January 1995, Nigeria, Africa. Google Scholar Profile : diff --git a/src/data/compiled_bios/2895.txt b/src/data/compiled_bios/2895.txt new file mode 100644 index 0000000000..84232e2463 --- /dev/null +++ b/src/data/compiled_bios/2895.txt @@ -0,0 +1 @@ + Senior Associate Professor Joint Faculty in: Computer Engineering Phone: 979-845-3179 Email: p-cantrell@tamu.edu Office: WEB 333D Website Google Scholar Profile Educational Background B. S. 1970, M. S. 1971, Ph.D. 1981, Georgia Institute of Technology Computer Communications and Networking: Multimedia networking, video conferencing over LANs and WANs with multilayer coding over multiple multicast groups Research Interests Computer networking Awards & Honors Tenneco Meritorious Teaching Award, 1992 Speaker 1995-96, Texas A&M Faculty Senate Selected Publications T. B. Brown, P. E. Cantrell, and J. D. Gibson, "Multicast layered video teleconferencing: overcoming bandwidth heterogeneity,'' in Proceedings, First Annual Telecom. Conference, pp. 145--152, Austin, TX, October 1996 T. Brown, S. Sazzad, C. Schroeder, P. E. Cantrell, and J. D. Gibson, "Packet Video for Heterogeneous Networks using CU-SeeMe,'' in Proceedings, ICIP'96, pp. 9--12, Lausanne, Switzerland, September 1996. M. G. Kyeong, P. E. Cantrell, and T. A. Dowling, "The effect of discrete TOA randomization on capture phenomenon in DS/SS local radio communications,'' in Proceedings, IEEE ICCS '94, Singapore, November 1994. M. G. Kyeong, P. E. Cantrell, and T. A. Dowling, "DS/SS indoor wireless communications with near-perfect multi-packet capture,'' in Proceedings, IEEE ICUPC '94, San Diego, CA, September 1994. Google Scholar Profile : diff --git a/src/data/compiled_bios/2896.txt b/src/data/compiled_bios/2896.txt new file mode 100644 index 0000000000..9419df990a --- /dev/null +++ b/src/data/compiled_bios/2896.txt @@ -0,0 +1 @@ + Professor Associate Department Head Joint Faculty in: Electrical Engineering Phone: 979-845-6204 FAX: 979-845-6259 Email: chmbrlnd@tamu.edu Office: WEB 301RA Website: Personal Website Google Scholar Profile Educational Background Ph.D., University of Illinois, Urbana-Champaign, 2004 M.S., Cornell University, Ithaca, NY, 2000 B.Eng.,McGill University, Montreal, Quebec, 1998 Research Interests Probability theory, statistical methods and their applications to control and communication systems excitation Google Scholar Profile : diff --git a/src/data/compiled_bios/2897.txt b/src/data/compiled_bios/2897.txt new file mode 100644 index 0000000000..9fc241bd49 --- /dev/null +++ b/src/data/compiled_bios/2897.txt @@ -0,0 +1 @@ + Associate Professor Joint Faculty in: Computer Engineering Phone: 979-845-7486 Email: gwanchoi@tamu.edu Office: WEB 333G Website: Research Website Google Scholar Profile Educational Background Ph.D., electrical and computer engineering, University of Illinois at Urbana-Champaign. 1994 M.S., electrical and computer engineering, University of Illinois at Urbana-Champaign, 1989 B.S., electrical and computer engineering, University of Illinois at Urbana-Champaign, 1988 Research Interests Fault-tolerance Verification simulation High-performance VLSI circuits Radiation testing Design for dependability Software engineering Awards & Honors National Science Foundations (NSF)career award, 1997 Selected Publications G. Choi, R. Iyer, V. Carreno, Simulated Fault Injection: A Methodology to Evaluate Fault Tolerant Microprocessor Architectures, IEEE Transaction on Reliability Special Issue on Experimental Evaluation, Vol, 39, No. 4, pp. 486-491, October 1990. G. Choi, R. Iyer, R. Saleh, V. Carreno, A Fault Behavior Model For and Avionic Microprocessor, Dependable Computing, Editors: A. Avizienis, J. Laprie, pp 177-195, Springer-Verlag, 1990. G. Choi, R. Iyer, FOCUS: An Experimental Environment for Fault Sensitivity Analysis, IEEE Transaction on Computers, Vol. 41, No. 12, pp.1515-1526, December 1992. H. Cha, E. Rudnick, J. Patel, R. Iyer, G. Choi, A Fast and Accurate Gate-Level Transient Fault Simulation Environment, IEEE Transaction on Computer, Vol. 45, No. 11, pp. 1248-1256, November 1996. S. Hwang, G. Choi, Selective-Set-Invalidation(SSI) for Soft-Error-Resilient Cache Architecture, ACM SIGARCH, Computer Architecture News, pp. 32-38, June, 1999. S. Hwang, G. Choi, :RTMS: A Reliability Testing Environment for Off-The-Shelf Memory- Subsystems, IEEE Design & Test, June, 1999. B. Min, G. Choi, Verification Simulation Acceleration Using Code-Perturbation, Journal of Electronic Testing and Testing Automation, JETTA, Volume 16, Issue 1, Feb 2000. Rohit Singhal*, Gwan Choi, Rabi N. Mahapatra, Data Handling Limits of On-Chip Interconnects, IEEE Transactions on Very Large Scale Integration Systems 16(6): 707-713 (2008). Garg, Jayakumar*, Khatri, Choi, Circuit-level Design Approaches for Radiation-hard Digital Electronics, IEEE transactions on very large scale integration (VLSI) systems, ISSN 1063-8210. Wang, Weihuang; Kim, Euncheol; Gunnam, Kiran K.; Choi, Gwan S., Low-Power VLSI Design of LDPC Decoder Using Dynamic Voltage and Frequency Scaling for Additive White Gaussian Noise Channels, Journal of Low Power Electronics, Volume 5, Number 3, October 2009 , pp. 303-312(10). Google Scholar Profile : diff --git a/src/data/compiled_bios/2898.txt b/src/data/compiled_bios/2898.txt new file mode 100644 index 0000000000..dc3bf29ae1 --- /dev/null +++ b/src/data/compiled_bios/2898.txt @@ -0,0 +1 @@ + Professor Email: cui@tamu.edu Google Scholar Profile Educational Background Ph.D., Electrical Engineering from Stanford University, California, USA, in 2005 Research Interests Big data processing over networks; Statistical signal processing in sensor networks; Network modeling and network information theory; Energy efficiency of wireless networks and systems; Cognitive radio networks; Design synergy between hardware and system software; Application of convex optimization in communication system design and signal processing; Awards & Honors 2014: Elected to the list of Highly Cited Researchers by Thomas Reuters (along with 3215 scientists worldwide over 21 scientific areas) 2014: Texas A&M University Engineering School Contribution Award 2013: Elevation to IEEE Fellow (within 8 years after Ph.D, one of the quickest in IEEE history) 2013: IEEE 2012 Signal Processing Society Best Paper Award 2011: TEES Select Young Faculty Fellow 2009: The WCSP Best Paper Award 2007: The CROWNCOM Best Paper Award Selected Publications 1. S. Cui, A. J. Goldsmith, and A. Bahai, Energy-efficiency of MIMO and Cooperative MIMO in Sensor Networks, IEEE Journal on Selected Areas of Communications, Vol. 22, No. 6, pp. 1089-1098, August, 2004. The No.8 most cited paper among all published between 2004 and 2014 in JSAC (data from Web of Science on 2/16/2014). 2. S. Cui, A. J. Goldsmith, and A. Bahai, Energy-constrained Modulation Optimization, IEEE Transactions on Wireless Communications, Vol. 4, No. 5, pp. 2349-2360, September, 2005. The No.7 most cited paper among all published between 2005 and 2014 (data from Web of Science on 2/16/2014). 3. J. Xiao, S. Cui, Z. -Q. Luo, and A. J. Goldsmith, Power Scheduling of Universal Decentralized Estimation in Sensor Networks, IEEE Transactions on Signal Processing, Vol. 54, No. 2, pp. 413-422, February, 2006. The No.11 most cited paper among all published between 2006 and 2012 in TSP (data from Web of Science on 6/9/2012). 4. S. Cui, J. Xiao, A. J. Goldsmith, Z.-Q. Luo, and H. V. Poor, Estimation Diversity and Energy Efficiency in Distributed Sensing, IEEE Transactions on Signal Processing, Vol. 55, No. 9, pp. 4683-4695, September, 2007. The No.10 most cited paper among all published between 2007 and 2012 in TSP (data from Web of Science on 6/9/2012). 5. F. Wang*, M. Krunz, and S. Cui, Price-Based Spectrum Management in Cognitive Radio Networks, IEEE Journal of Selected Topics in Signal Processing, Vol. 2, No.1, pp. 74-87, February 2008. The No.9 most cited paper among all published between 2008 and 2014 in JSTSP (data from Web of Science on 2/16/2014). 6. Z. Quan*, S. Cui, and A. Sayed, Optimal Linear Cooperation for Spectrum Sensing in Cognitive Radio Networks, IEEE Journal of Selected Topics in Signal Processing, Vol. 2, No. 1, pp. 28-40, February 2008. The No.1 most cited paper among all published between 2008 and 2014 in both journals of TSP and JSTSP (data from Web of Science on 2/16/2014). IEEE 2012 Signal Processing Society Best Paper Award! 7. Z. Quan*, S. Cui, A. Sayed, and H. V. Poor, Collaborative Wideband Sensing for Cognitive Radios, IEEE Signal Processing Magazine: special issue on Cognitive Radios, Vol. 25, No. 6, pp. 60-73, November 2008. The No.9 most cited paper among all published between 2008 and 2014 in SPM (data from Web of Science on 2/16/2014). 8. R. Zhang, Y.-C. Liang, C.-C. Chai, and S. Cui, Optimal Beamforming for Two-Way Multi-Antenna Relay Channel with Analogue Network Coding, IEEE Journal on Selected Areas of Communications, Vol. 27, No. 5, pp. 699-712, June 2009. The No.2 most cited paper among all published between 2009 and 2014 in JSAC (data from Web of Science on 2/16/2014) 9. R. Zhang, S. Cui, and Y.-C. Liang, On Ergodic Sum Capacity of Fading Cognitive Multiple-Access and Broadcast Channels, IEEE Transactions on Information Theory, Vol. 55, No. 11, pp. 5161-5178, Nov. 2009. The No.15 most cited paper among all published between 2009 and 2012 in TIT (data from Web of Science on 6/9/2012). 10. R. Zhang, Y.-C. Liang, and S. Cui, Dynamic Resource Allocation in Cognitive Radio Networks: A Convex Optimization Perspective, IEEE Signal Processing Magazine: special issue on Convex Optimization on Signal Processing, Vol. 27, No. 3, pp. 102-114, May 2010. The No.2 most cited paper among all published between 2010 and 2014 in SPM (data from Web of Science on 2/16/2014). 11. D. Li, S. Kar, J. M. F. Moura, H. V. Poor, and S. Cui, Distributed Kalman Filtering over Big Data: Analysis Through Large Deviations of Random Riccati Equations, IEEE Transactions on Information Theory, 2014. (Under minor revision) Google Scholar Profile : diff --git a/src/data/compiled_bios/2899.txt b/src/data/compiled_bios/2899.txt new file mode 100644 index 0000000000..cc8e3dadb5 --- /dev/null +++ b/src/data/compiled_bios/2899.txt @@ -0,0 +1 @@ + J.W. Runyon, Jr. '35 Professor II Phone: 979-845-5917 FAX: 979-845-6259 Email: a-datta@tamu.edu Office: WEB 212F Website: Research Website Google Scholar Profile Educational Background PhD. (Electrical Engineering), University of Southern California, 1991. M.S. (Applied Mathematics), University of Southern California, 1991. M.S.E.E., Southern Illinois University at Carbondale, 1987. B.Tech (Hons.) (Electrical Engineering), Indian Institute of Technology Kharagpur, India, 1985. Research Interests Adaptive Control. Parametric Robust Control. Genomic Signal Processing and Control. Awards & Honors Fellow IEEE, 2009, For contributions to control techniques in Cancer Genomics. J. W. Runyon, Jr. '35 Endowed Professor II, January 2008-present. NSF Panelist for Science and Technology Centers Preproposal Panel, January 2009. General Chair, IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS), 2008. NSF Panelist for Power, Control and Adaptive Networks Panel, February 2008 Associate Editor, EURASIP Journal on Bioinformatics and Systems Biology, 2007-present Member, International Program Committee, IEEE Conference on Decision and Control, 2008. Member, Technical Committee on Biosystems and Control, IEEE Control Systems Society, 2007-present. Technical Program Chair, IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS), 2007. NSF Panelist for Power, Control and Adaptive Networks Panel, June 2006. Associate Editor, IEEE Transactions on Systems, Man and Cybernetics, Part B: Cybernetics, 2005-2006. Finance Chair, IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS), 2006. Eugene E. Webb Faculty Fellow, 2006. Publicity Chair, IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS), 2005. Member, Editorial Board, IEEE Conference on Decision and Control and European Control Conference, 2005. Member, International Program Committee, IEEE Conference on Decision and Control, 2004. Outstanding Professor, Electrical Engineering Department, 2004. Associate Editor, IEEE Transactions on Automatic Control, 2001-2003. Member, Local Arrangements Committee, Workshop on Discrete Models for Genetic Regulatory Networks, November 2003. TEES Special Research Fellow, 2001. NSF Panelist for Control, Networks and Computational Intelligence Panel, June 2001. Member, International Program Committee, 2000 American Control Conference. Member, International Program Committee, 1998 American Control Conference. Member, International Program Committee, 3rd IEEE Mediterranean Symposium on New Directions in Control and Automation, 1995. Best Presentation Award, Session WA03 on Robust Adaptive Control, American Control Conference, 1994. Organizer, Texas Systems Day, 1994. NSF Panelist for Research Initiation Awards, 1993. Presidential Silver Medal, Indian Institute of Technology, Kharagpur, India, May 1986. Selected Publications A. Datta, Adaptive Internal Model Control, Springer-Verlag, 1998 A. Datta, M. T. Ho and S. P. Bhattacharyya, Structure and Synthesis of PID Controllers, Springer-Verlag, 2000. G. J. Silva, A. Datta and S. P. Bhattacharyya, PID Controllers for Time Delay Systems, Birkhauser, 2005 A. Datta and E. R. Dougherty, Introduction to Genomic Signal Processing with Control, CRC Press, 2007 S. P. Bhattacharyya, A. Datta and L. H. Keel, Linear Control Theory: Structure, Robustness and Optimization, CRC Press, 2009 A. Datta and P. Ioannou, "Decentralized Indirect Adaptive Control of Interconnected Systems," International Journal of Adaptive Control and Signal Processing, Vol. 5, No. 4, 259-281,July-August 1991. P. A. Ioannou and A. Datta, "Robust Adaptive Control: A Unified Approach," Proceedings of the IEEE, Vol. 79, No. 12, 1736-1768, December 1991. A. Datta, "Performance Improvement in Decentralized Adaptive Control: A Modified Model Reference Scheme," IEEE Trans. on Automat. Contr., Vol. AC- 38, No. 11, 1717-1722, Nov. 1993. A. Datta, "Robustness of Discrete-time Adaptive Controllers: An Input-Output Approach," IEEE Trans. on Automat. Contr., Vol. AC-38, No.12, 1852-1857, Dec. 1993. A. Datta, "On the Transient Behaviour in Discrete-time Model Reference Adaptive Control: Analysis and Possible Improvement," Automatica, Vol. 30, No.3, 527-531, March 1994. Google Scholar Profile : diff --git a/src/data/compiled_bios/29.txt b/src/data/compiled_bios/29.txt new file mode 100644 index 0000000000..564b1848d6 --- /dev/null +++ b/src/data/compiled_bios/29.txt @@ -0,0 +1 @@ + Philip B Godfrey Associate Professor 3211 Siebel Center for Comp Sci 201 N. Goodwin Ave. Urbana Illinois 61801 (217) 333-4862 pbg@illinois.edu : Primary Research Area Systems and Networking Research Areas Systems and Networking Theory and Algorithms For more information Philip Brighten Godfrey's home page Biography P. Brighten Godfrey is an Associate Professor in the Department of Computer Science at the University of Illinois at Urbana-Champaign. He received his Ph.D. at UC Berkeley in May 2009, and his B.S. at Carnegie Mellon University in 2002. His research interests lie in the design of networked systems and algorithms. He is a winner of the Sloan Research Fellowship (2014), the UIUC Dean's Award for Excellence in Research (2015), the National Science Foundation CAREER Award (2012), an Internet2 Innovative Application Award (2013), and the ACM SIGCOMM Rising Star Award (2015), in addition to several best paper awards. He was a Beckman Fellow at the UIUC Center for Advanced Study in 2014-2015, and served as program committee co-chair of ACM HotNets 2014 and the Symposium on SDN Research 2016. He co-founded and serves as CTO of Veriflow, a startup commercializing research in network verification. Education University of California at Berkeley, Ph.D. in Computer Science, 2009 . Research Interests Design and analysis of networked systems and algorithms, low latency networked systems, data center network architectures, software-defined networks, network security and debugging, and social network analysis algorithms. Primary Research Area Systems and Networking Research Areas Systems and Networking Theory and Algorithms For more information Philip Brighten Godfrey's home page . Selected Articles in Journals P. Brighten Godfrey, Matthew Caesar, Ian Hanken, Yaron Singer, Scott Shenker, and Ion Stocia, "Stabilizing Route Selection in BGP", to appear, IEEE/ACM Transactions on Networking , February 2014. Ahmed Khurshid, Wenxuan Zhou, Matthew Caesar, and P. Brighten Godfrey, "VeriFlow: Verifying Network-Wide Invariants in Real Time", ACM SIGCOMM Computer Communication Review , volume 42, number 4, October 2012. (Republication of HotSDN paper; Best paper award in HotSDN) Teemu Koponen, Scott Shenker, Hari Balakrishnan, Nick Feamster, Igor Ganichev, Ali Ghodsi, P. Brighten Godfrey, Nick McKeown, Guru Parulkar, Barath Raghavan, Jennifer Rexford, Somaya Arianfar, and Dmitriy Kuptsov, "Architecting for Innovation", ACM SIGCOMM Computer Communication Review , volume 41, number 2, July 2011. Igor Ganichev, Bin Dai, P. Brighten Godfrey, and Scott Shenker, "YAMR: Yet Another Multipath Routing Protocol", ACM SIGCOMM Computer Communication Review , volume 40, number 5, October 2010. Acceptance rate: 31% (5/16) Alexandros G. Dimakis, P. Brighten Godfrey, Yunnan Wu, Martin J. Wainwright, and Kannan Ramchandran, "Network Coding for Distributed Storage Systems", IEEE Transactions on Information Theory , volume 56, number 9, September 2010. P. Brighten Godfrey and Richard Karp, "On the Price of Heterogeneity in Parallel Systems", Theory of Computing Systems , volume 45, number 2, pages 280-301, August 2009. (One of seven papers invited from SPAA 2006.) Sonesh Surana, P. Brighten Godfrey, Karthik Lakshminarayanan, Richard Karp and Ion Stoica, "Load Balancing in Dynamic Structured P2P Systems", Performance Evaluation , volume 63, number 6, pages 217-240, March 2006. Articles in Conference Proceedings Soudeh Ghorbani and P. Brighten Godfrey. COCONUT: Seamless Scale-out of Network Elements. European Conference on Computer Systems (EuroSys), April 2017. Acceptance rate: 20% (41/200) Santhosh Prabhu, Mo Dong, Tong Meng, P. Brighten Godfrey, and Matthew Caesar. Let me rephrase that: Transparent optimization in SDNs. ACM SIGCOMM Symposium on SDN Research (SOSR), April 2017. Acceptance rate: 23% (18/77) Ilker Nadi Bozkurt, Balakrishnan Chandrasekaran, Anthony Aguirre, P. Brighten Godfrey, Gregory Laughlin, Bruce Maggs, and Ankit Singla. Why is the Internet so slow?!. Passive and Active Measurement Conference, March 2017. Acceptance rate: 23% (20/87) Best Dataset Award Sangeetha Abdu Jyothi, Ankit Singla, P. Brighten Godfrey, and Alexandra Kolla. Measuring and Understanding Throughput of Network Topologies. ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis (SC), November 2016. Acceptance rate: 18% (82/446) Anduo Wang, Xueyuan Mei, Jason Croft, Matthew Caesar, and P. Brighten Godfrey, Ravel: A Database-Defined Network. ACM SIGCOMM Symposium on SDN Research (SOSR), March 2016. Acceptance rate: 25% (17/68) Qingxi Li, Mo Dong, and P. Brighten Godfrey. Halfback: Running Short Flows Quickly and Safely. International Conference on emerging Networking Experiments and Technologies (CoNEXT), December 2015. Acceptance rate: 21% (41/196) Soudeh Ghorbani, P. Brighten Godfrey, Yashar Ganjali, and Amin Firoozshahain. Micro Load Balancing in Data Centers with DRILL. Fourteenth ACM Workshop on Hot Topics in Networks (HotNets), November 2015. Acceptance rate: 19% (26/140) Sangeetha Abdu Jyothi, Mo Dong, and P. Brighten Godfrey. Towards a Flexible Data Center Fabric with Source Routing. ACM SIGCOMM Symposium on SDN Research (SOSR), June 2015. Acceptance rate: 20% (27/137) Ashish Vulimiri, Carlo Curino, P. Brighten Godfrey, Thomas Jungblut, Jitu Padhye, and George Varghese. "Global analytics in the face of bandwidth and regulatory constraints." 12th USENIX Symposium on Networked Systems Design and Implementation (NSDI), April 2015. Acceptance rate: 20% (42/213) Wenxuan Zhou, Dong Jin, Jason Croft, Matthew Caesar, and P. Brighten Godfrey. "Enforcing Generalized Consistency Properties in Software-Defined Networks." 12th USENIX Symposium on Networked Systems Design and Implementation (NSDI), April 2015. Acceptance rate: 20% (42/213) Mo Dong, Qingxi Li, Doron Zarchy, P. Brighten Godfrey, and Michael Schapira. "PCC: Rearchitecting Congestion Control for Consistent High Performance." 12th USENIX Symposium on Networked Systems Design and Implementation (NSDI), April 2015. Acceptance rate: 20% (42/213) Ashish Vulimiri, Carlo Curino, P. Brighten Godfrey, Konstantinos Karanasos, and George Varghese. "WANalytics: Analytics for a Geo-Distributed Data-Intensive World." Conference on Innovative Data Systems Research (CIDR 2015), January 2015. Ankit Singla, Balakrishnan Chandrasekaran, P. Brighten Godfrey, and Bruce Maggs. "The Internet at the Speed of Light." Thirteenth ACM Workshop on Hot Topics in Networks (HotNets 2014), October 2014. Acceptance rate: 22% (26/118) Soudeh Ghorbani and P. Brighten Godfrey. "Towards Correct Network Virtualization." Workshop on Hot Topics in Software Defined Networking (HotSDN), August 2014. Acceptance rate: 29% (33/114) Best paper award Ankit Singla, P. Brighten Godfrey, and Alexandra Kolla, "High Throughput Data Center Topology Design", 11th USENIX Symposium on Networked Systems Design and Implementation (NSDI), April 2014. Acceptance rate: 18% (38/213) Chi-Yao Hong, Matthew Caesar, and P. Brighten Godfrey, "Software Defined Transport: Flexible and Deployable Flow Rate Control", Open Networking Summit (ONS), March 2014. Acceptance rate: 28% (26/92) Anduo Wang, Wenchao Zhou, P. Brighten Godfrey, and Matthew Caesar, "Software-Defined Networks as Databases", Open Networking Summit (ONS), March 2014. Acceptance rate: 28% 26/92) Ashish Vulimiri, P. Brighten Godfrey, Radhika Mittal, Justine Sherry, Sylvia Ratnasamy, and Scott Shenker, "Low Latency via Redundancy", 9th ACM International Conference on Emerging Networking Experiments and Technologies (CoNEXT), December 2013. Acceptance rate: 20% (29/143) Rachit Agarwal and P. Brighten Godfrey, "A Simple Stretch 2 Distance Oracle", brief announcement, 32nd Annual ACM SIGACT-SIGOPS Symposium on Principles of Distributed Computing (PODC), July 2013. Ahmed Khurshid, Xuan Zou, Wenxuan Zhou, Matthew Caesar, and P. Brighten Godfrey, "VeriFlow: Verifying Network-Wide Invariants in Real Time", 10th USENIX Symposium on Networked Systems Design and Implementation (NSDI), April 2013. Acceptance rate: 22% (38/171) Junda Liu, Aurojit Panda, Ankit Singla, P. Brighten Godfrey, Michael Schapira, and Scott Shenker, "Ensuring Connectivity via Data Plane Mechanisms", 10th USENIX Symposium on Networked Systems Design and Implementation (NSDI), April 2013. Acceptance rate: 22% (38/171) Rachit Agarwal and P. Brighten Godfrey, "Distance Oracles for Stretch Less Than 2", ACM- SIAM Symposium on Discrete Algorithms (SODA), January 2013. Acceptance rate: 30% (135/454) Ashish Vulimiri, Oliver Michel, P. Brighten Godfrey, and Scott Shenker, "More is Less: Reducing Latency via Redundancy", Eleventh ACM Workshop on Hot Topics in Networks (HotNets-XI), October 2012. Acceptance rate: 19% (23/120) Ahmed Khurshid, Wenxuan Zhou, Matthew Caesar, and P. Brighten Godfrey, "VeriFlow: Verifying Network-Wide Invariants in Real Time", First Workshop on Hot Topics in Software Defined Networking (HotSDN), August 2012. Acceptance rate: 31% (22/71) Best paper award; republished as journal article in Computer Communication Review Chi-Yao Hong, Matthew Caesar, and P. Brighten Godfrey, "Finishing Flows Quickly with Preemptive Scheduling", ACM Special Interest Group on Data Communication (SIGCOMM), August 2012. Acceptance rate: 14% (32/235) Rachit Agarwal, Matthew Caesar, P. Brighten Godfrey, and Ben Y. Zhao, "Shortest Paths in Less Than a Millisecond", Workshop on Online Social Networks (WOSN), August 2012. Acceptance rate: 34% (12/35) Joan Feigenbaum, P. Brighten Godfrey, Aurojit Panda, Michael Schapira, Scott Shenker, and Ankit Singla, "On the Resilience of Routing Tables", brief announcement, 31st Annual ACM SIGACT-SIGOPS Symposium on Principles of Distributed Computing (PODC), July 2012. Ashish Vulimiri, Gul Agha, P. Brighten Godfrey, and Karthik Lakshminarayanan, "How well can congestion pricing neutralize denial-of-service attacks?", International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS), June 2012. Acceptance rate: 15% (31/203) Ankit Singla, Chi-Yao Hong, Lucian Popa, and P. Brighten Godfrey, "Jellyfish: Networking Data Centers Randomly", 9th USENIX Symposium on Networked Systems Design and Implementation (NSDI), April 2012. Acceptance rate: 18% (30/169) Wenxuan Zhou, Qingxi Li, Matthew Caesar, and P. Brighten Godfrey, "ASAP: A Low-Latency Transport Layer", 7th ACM International Conference on emerging Networking Experiments and Technologies (CoNEXT), December 2011. Acceptance rate: 19% (30/159) Haohui Mai, Ahmed Khurshid, Rachit Agarwal, Matthew Caesar, P. Brighten Godfrey, and Samuel T. King, "Debugging the Data Plane with Anteater", ACM Special Interest Group on Data Communication (SIGCOMM), August 2011. Acceptance rate: 14% (32/223) Ankit Singla, Chi-Yao Hong, Lucian Popa, and P. Brighten Godfrey, "Jellyfish: Networking Data Centers Randomly," 3rd USENIX Workshop on Hot Topics in Cloud Computing (HotCloud), June 2011. Acceptance rate: 32% (23/72) Giang Nguyen, Rachit Agarwal, Junda Liu, Matthew Caesar, P. Brighten Godfrey, and Scott Shenker, "Slick Packets", International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS), June 2011. Acceptance rate: 15% (26/177) Rachit Agarwal, P. Brighten Godfrey, and Sariel Har-Peled, "Approximate Distance Queries and Compact Routing in Sparse Graphs", 30th Annual IEEE Conference on Computer Communications (INFOCOM), Shanghai, China, April 2011. Acceptance rate: 16% (291/1823) Ankit Singla, P. Brighten Godfrey, Kevin Fall, Gianluca Iannaccone, and Sylvia Ratnasamy, "Scalable Routing on Flat Names", 6th International Conference on emerging Networking EXperiments and Technologies (CoNEXT), December 2010. Acceptance rate: 19% (28/147) Md. Yusuf Sarwar Uddin, P. Brighten Godfrey, and Tarek Abdelzaher, "RELICS: In-network Realization of Incentives to Combat Selfishness in DTNs", IEEE International Conference on Network Protocols (ICNP), October 2010. Acceptance rate: 18% (31/170) Rachit Agarwal, Virajith Jalaparti, Matthew Caesar, and P. Brighten Godfrey, "Guaranteeing BGP Stability With a Few Extra Paths", 30th International Conference on Distributed Computing Systems (ICDCS), June 2010. Acceptance rate: 14% (84/585) P. Brighten Godfrey, Michael Schapira, Aviv Zohar, and Scott Shenker, "Incentive Compatibility and Dynamics of Congestion Control", International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS), June 2010. Acceptance rate: 16% (29/184) Kevin Fall, P. Brighten Godfrey, Gianluca Iannaccone and Sylvia Ratnasamy, "Routing Tables: Is Smaller Really Much Better?", ACM SIGCOMM Hot Topics in Networks (HotNets 2009), New York, NY, October 2009. Acceptance rate: 16% (21/131) P. Brighten Godfrey, Igor Ganichev, Scott Shenker and Ion Stoica, "Pathlet Routing", ACM Special Interest Group on Data Communication (SIGCOMM), Barcelona, Spain, August 2009. Acceptance rate: 10% (27/270) P. Brighten Godfrey, Scott Shenker, and Ion Stoica, "Pathlet Routing", Seventh ACM Workshop on Hot Topics in Networks (HOTNETS), October 2008. Acceptance rate: 20% (22/110) P. Brighten Godfrey, "Balls and Bins with Structure: Balanced Allocations on Hypergraphs", ACM-SIAM Symposium on Discrete Algorithms (SODA), January 2008. Acceptance rate: 30% (136/458) Alexandros G. Dimakis, P. Brighten Godfrey, Martin J. Wainwright and Kannan Ramchandran, "Network Coding for Distributed Storage Systems", 26th Annual IEEE Conference on Computer Communications (INFOCOM), Anchorage, Alaska, May 2007. Alexandros G. Dimakis, P. Brighten Godfrey, Martin J. Wainwright, and Kannan Ramchandran, "The Benefits of Network Coding for Peer-to-Peer Storage Systems", Third Workshop on Network Coding, Theory, and Applications (NETCOD), January 2007. P. Brighten Godfrey, Scott Shenker and Ion Stoica, "Minimizing Churn in Distributed Systems", ACM Special Interest Group on Data Communication (SIGCOMM), Pisa, Italy, September 2006. P. Brighten Godfrey and Richard Karp, "On the Price of Heterogeneity in Parallel Systems", 18th ACM Symposium on Parallelism in Algorithms and Architectures (SPAA), Cambridge, MA, July 2006. Sean Rhea, P. Brighten Godfrey, Brad Karp, John Kubiatowicz, Sylvia Ratnasamy, Scott Shenker, Ion Stoica and Harlan Yu, "OpenDHT: A Public DHT Service and Its Uses", ACM Special Interest Group on Data Communication (SIGCOMM), Philadelphia, PA, August 2005. P. Brighten Godfrey and Ion Stoica, "Heterogeneity and Load Balance in Distributed Hash Tables", 24th Annual IEEE Conference on Computer Communications (INFOCOM), Miami, FL, March 2005. P. Brighten Godfrey and David Ratajczak, "Naps: Scalable, Robust Topology Management in Wireless Ad Hoc Networks", Information Processing in Sensor Networks (IPSN), April 2004. Sonesh Surana, P. Brighten Godfrey, Karthik Lakshminarayanan, Richard Karp and Ion Stoica, "Load Balancing in Dynamic Structured P2P Systems", 23rd Annual IEEE Conference on Computer Communications (INFOCOM), Hong Kong, March 2004. Kamalika Chaudhuri, P. Brighten Godfrey, Satish Rao and Kunal Talwar, "Paths, Trees and Minimum Latency Tours", 44th Annual IEEE Symposium on Foundations of Computer Science (FOCS), October 2003. . Honors NSF Graduate Research Fellowship (2004-2007) California Microelectronics Fellowship (2002-2003) Teaching Honors Engineering Council Outstanding Advising Award (2015) Ranked as Excellent Teacher, Spring 2014 CS 241 Systems Programming (Spring 2014) Ranked as Outstanding Teacher, Fall 2013 CS 538 Advanced Computer Networks (Fall 2013) Ranked as Outstanding Teacher, Fall 2012 CS 538 Advanced Computer Networks (Fall 2012) Ranked as Excellent Teacher, Spring 2012 CS 241 Systems Programming (Spring 2012) Ranked as Outsanding Teacher, Fall 2011 CS 538 Advanced Computer Networks (Fall 2011) Ranked as Excellent Teacher, Fall 2010 CS598 Advanced Computer Networks (Fall 2010) Audience Choice Award for most popular lecturer (Fall 2009) For more information Philip Brighten Godfrey's home page . diff --git a/src/data/compiled_bios/290.txt b/src/data/compiled_bios/290.txt new file mode 100644 index 0000000000..c89b9b0b78 --- /dev/null +++ b/src/data/compiled_bios/290.txt @@ -0,0 +1 @@ + Home Teaching Research & Publication Education & Awards Download CV [PDF] Email: guof@clemson.edu Office: 204 McAdams GUO FREEMAN Ph.D., Assistant Professor School of Computing Human-Centered Computing Division Clemson University [Last update: August 23, 2018] diff --git a/src/data/compiled_bios/2900.txt b/src/data/compiled_bios/2900.txt new file mode 100644 index 0000000000..7ac59b6c45 --- /dev/null +++ b/src/data/compiled_bios/2900.txt @@ -0,0 +1 @@ + Assistant Professor Phone: 979-458-5093 Email: katedavis@tamu.edu Office: WEB 214H Google Scholar Profile Educational Background Ph.D, Electrical Engineering, Power and Energy Systems, University of Illinois Urbana-Champaign, 2011 M.S. Electrical Engineering, Power and Energy Systems, University of Illinois Urbana-Champaign, 2009 B.S. Electrical Engineering, High Honors, University of Texas at Austin, 2007 Research Interests Operation and Control of Power Systems Interactions between Computer Networks and Power Networks Security-oriented Cyber-physical Analysis Techniques Data-driven and Model-based Coupled Infrastructure Analysis and Simulation Cyber-Physical Situational Awareness (CyPSA) Selected Publications S. Hossain-McKenzie, M. Kazerooni, K. Davis, S. Etigowni, S. Zonouz, "Analytic Corrective Control Selection for Online Remedial Action Scheme Design in a Cyber Adversarial Environment," IET Cyber-Physical Systems: Theory & Applications, Oct. 2017, DOI: 10.1049/iet-cps.2017.0014 IET Digital Library, http://digital-library.theiet.org/content/journals/10.1049/iet-cps.2017.0014 K. R. Davis, R. Berthier, S. Zonouz, G. Weaver, R. B. Bobba, E. Rogers, P. W. Sauer, D. M. Nicol, "Cyber-Physical Security Assessment for Electric Power Systems," IEEE-HKN: The Bridge, 2016. G. A Weaver, K. Davis, C. M. Davis, E. J Rogers, R. B. Bobba, S. Zonouz, R. Berthier, P. W. Sauer, D. M. Nicol, "Cyber-Physical Models for Power Grid Security Analysis: 8-substation Case," 2016 IEEE International Conference on Smart Grid Communications (SmartGridComm), Sydney, NSW, 2016, pp. 140-146. K. R. Davis, C. M. Davis, S. A. Zonouz, R. B. Bobba, R. Berthier, L. Garcia, P. W. Sauer, "A Cyber-Physical Modeling and Assessment Framework for Power Grid Infrastructures," IEEE Transactions on in Smart Grid, vol.6, no.5, pp.2464-2475, Sept. 2015. S. A. Zonouz, C. M. Davis, K. R. Davis, R. Berthier, R. B. Bobba, W. H. Sanders, "SOCCA : A Security-Oriented Cyber-physical Contingency Analysis in Power Infrastructures," IEEE Transactions on Smart Grid, vol.5, no.1, pp.3-13, Jan. 2014 (selected as Significant Research in Cyber Security, National Security Agency (NSA) Science of Security Virtual Organization SOS-VO). K. R. Davis, K. L. Morrow, R. Bobba and E. Heine, "Power flow cyber attacks and perturbation-based defense," 2012 IEEE Third International Conference on Smart Grid Communications (SmartGridComm), Tainan, 2012, pp. 342-347. Google Scholar Profile : diff --git a/src/data/compiled_bios/2901.txt b/src/data/compiled_bios/2901.txt new file mode 100644 index 0000000000..4cc10747de --- /dev/null +++ b/src/data/compiled_bios/2901.txt @@ -0,0 +1 @@ + Robert M. Kennedy 26 Chair Professor Distinguished Professor Joint Faculty in: Computer Engineering Phone: 979-862-8154 Email: e-dougherty@tamu.edu Office: WEB 214G Website: Research Website Google Scholar Profile Educational Background Ph.D., Mathematics, Rutgers University, New Brunswick, NJ. 1974 M.S., Computer Science, Stevens Institute of Technology, Hoboken, NJ. 1986 M.S., Mathematics, Fairleigh Dickinson University, Teaneck, NJ. 1969 B.S., Mathematics, Fairleigh Dickinson University, Teaneck, NJ. 1967 Research Interests Genomic Signal Processing: Gene-Expression-Based Cancer Classification Genetic Regulatory Networks Microarray Analysis Small-Sample Classification and Error Estimation Image Analysis: Mathematical Morphology Nonlinear Signal Processing Statistical Filter Design Granulometries and Image Texture Awards & Honors IEEE Fellow University Distinguished Lecturer, Texas A&M University, 2008 Robert M. Kennedy '26 Chair, 2007. Doctor Honoris Causa, Tampere University of Technology, 2007. Association of Former Students Distinguished Achievement Award in Research, 2005. SPIE President's Award, 2004. Fellow, Texas Engineering Experiment Station, 2002. Halliburton Professor, Texas A&M University College of Engineering, 2001. Fellow, International Society of Optical Engineering, 2000. Selected Publications Choudhary, A., Hua, J., Bittner, M. L., and E. R. Dougherty, The Effect of Population Contexts on Classifier Performance, Biological Systems, Vol. 16, No. 4, 495-517, December, 2008. Qian, X., and E. R. Dougherty, Effect of Function Perturbation on the Steady-State Distribution of Genetic Regulatory Networks: Optimal Structural Intervention, IEEE Transactions on Signal Processing, doi: 10.1109/TSP.2008.928089, Vol. 56, No. 10, Part 1, 4966-4975, October, 2008. Vahedi, G., Faryabi, B., Chamberland, J-F., Datta, A, and E. R. Dougherty, Intervention in Gene Regulatory Networks via a Stationary Mean-First-Passage-Time Control Policy, IEEE Transactions on Biomedical Engineering, Vol. 15, No. 10, 2319-2331, October, 2008. Hanczar, B., and E. R. Dougherty, Classification with Reject Option in Gene Expression Data, Bioinformatics, Vol. 24, 1889-1895, doi: 10.1093/bioinformatics/btn349, September, 2008. Qian, L., Wang, H., and E. R. Dougherty, Inference of Noisy Nonlinear Differential Equation Models for Gene Regulatory Networks using Genetic Programming and Kalman Filtering, IEEE Transactions on Signal Processing, Vol. 56, No. 7, 3327-3339, July, 2008. Liu, W., Lhdesmki, H., Dougherty, E. R,. and I. Shmulevich, Inference of Boolean Networks using Sensitivity Regularization, EURASIP Journal on Bioinformatics and Systems Biology, Vol. 2008, Article ID 780541, 12 pages, doi:10.1155/2008/780541, June, 2008 Faryabi, B., Chamberland, J-F., Vahedi, G., Datta, A., and E. R. Dougherty, Optimal Intervention in Asynchronous Genetic Regulatory Networks, IEEE Journal of Selected Topics in Signal Processing, Vol. 2, No. 3, 412-423, June, 2008. Martins, D., Braga-Neto, U., Hashimoto, R., Bittner, M. L., and E. R. Dougherty, Intrinsically Multivariate Predictive Genes, IEEE Journal of Selected Topics in Signal Processing, Vol. 2, No. 3, 424-439, June, 2008. Sima, C., and E. R. Dougherty, The Peaking Phenomenon in the Presence of Feature Selection, Pattern Recognition Letters, Vol. 29, 1667-1674, June, 2008. Zhao, W., Agyepong, K., Serpedin, E., and E. R. Dougherty, Detecting Periodic Genes from Irregularly Sampled Gene Expressions for Drosophila Melanogaster, EURASIP Journal on Bioinformatics and Systems Biology, Vol. 2008, Article ID 769293, 8 pages, doi:10.1155/2008/769293, June, 2008. Google Scholar Profile : diff --git a/src/data/compiled_bios/2902.txt b/src/data/compiled_bios/2902.txt new file mode 100644 index 0000000000..ad62e3063c --- /dev/null +++ b/src/data/compiled_bios/2902.txt @@ -0,0 +1 @@ + Professor Director, Texas A&M Institute of Data Science Phone: 979-845-7328 Email: duffieldng@tamu.edu Office: WEB 332D Website: Personal Website Google Scholar Profile Educational Background BA, the University of Cambridge, UK, 1982 MMath, the University of Cambridge, UK, 1983 PhD, the University of London, U.K., 1987 Research Interests My research focuses on data and network science, particularly applications of probability, statistics, algorithms and machine learning to the acquisition, management and analysis of large datasets in communications networks and beyond. Awards & Honors IEEE Fellow AT&T Fellow Co-recipient of the ACM Sigmetrics Test of Time Award in both 2012 and 2013 for work in Network Tomography Selected Publications Graph Sample and Hold: A Framework for Big-Graph Analytics, N. Ahmed, N. Duffield, J. Neville, R. Kompella, to appear at the ACM SIGKDD 2014 Conference on Conference on Knowledge Discovery and Data Mining. Algorithms and estimators for summarization of unaggregated data streams, Edith Cohen, Nick Duffield, Haim Kaplan, Carsten Lund, Mikkel Thorup: Journal of Computer and System Sciences, 2014, to appear. On the Tradeoff between Stability and Fit, E. Cohen, G. Cormode, N. Duffield, C. Lund. arXiv:1302.2137 High-Fidelity Per-Flow Delay Measurements With Reference Latency Interpolation. Myungjin Lee, Nick G. Duffield, Ramana Rao Kompella. IEEE/ACM Trans. Netw. 21(5): 1567-1580 (2013) Event detection using customer care calls. Y.-C. Chen, G.M. Lee, N.G. Duffield, L. Qiu, J. Wang: IEEE INFOCOM 2013: 1690-1698 Modeling Cellular User Mobility Using a Leap Graph, W. Dong, N.G. Duffield, Z. Ge, S. Lee, J. Pang, Passive and Active Measurement PAM 2013: 53-62 Understanding the complexity of 3G UMTS network performance. Y. Chen, N.G. Duffield, P. Haffner, W.-L. Hsu, G. Jacobson, Y. Jin, S. Sen, S. Venkataraman, Z.-L. Zhang, IFIP Networking 2013 Conference, Brooklyn, New York, May 22-24, 2013. Google Scholar Profile : diff --git a/src/data/compiled_bios/2903.txt b/src/data/compiled_bios/2903.txt new file mode 100644 index 0000000000..730d07dca4 --- /dev/null +++ b/src/data/compiled_bios/2903.txt @@ -0,0 +1 @@ + Robert M. Kennedy '26 Professor II Phone: 979-845-7582 FAX: 979-862-1976 Email: m-ehsani@tamu.edu Office: WEB 205N Website: Research Website Google Scholar Profile Educational Background Ph.D., University of Wisconsin-Madison, 1981 M.S., University of Texas at Austin, 1974 B.S., University of Texas at Austin,1973 Research Interests Sustainable Power and Energy Systems Power Electronics, Motor Drives Electric and Hybrid Vehicles Superconductive Magnetic Storage (SMES) Aerospace Power Systems, Specialized Power Systems Control Systems Energy Storage Systems High Voltage Direct Current (HVDC) Power Transmission Applications of Microcomputers to Power Control Pulsed Power Systems High Voltage Engineering and Electrical failures and Hazards Awards & Honors Life Fellow of IEEE, Halliburton(1992) and Dresser Industry (1994) Professorships at A&M Robert M. Kennedy Endowed Chair Professor of Electrical Engineering Prize paper awards from IEEE-IAS, 1985, 1987,1992 Who's Who in America, American Men & Women of Science, Who's Who in the South and Southwest, numerous invited papers and lectures, Distinguished Speaker, IEEE-Industrial Electronics Society. Chairman of IEEE's Vehicular Technology Society Electric & Hybrid Vehicle Committee Society of Automotive Engineers (SAE) Fellow Google Scholar Profile : diff --git a/src/data/compiled_bios/2904.txt b/src/data/compiled_bios/2904.txt new file mode 100644 index 0000000000..58e7ca7c68 --- /dev/null +++ b/src/data/compiled_bios/2904.txt @@ -0,0 +1 @@ + Senior Professor Phone: 979-845-7441 FAX: 979-845-6259 Email: eknoyan@tamu.edu Office: WEB 244D Google Scholar Profile Educational Background Ph.D., Columbia University, 1975 Solid State/Electrooptics Research Interests Integrated Optics/Solid State Selected Publications Marx, J.M., Eknoyan, O., Taylor, H.F., and Neurgaonkar, R.R., " GHz-bandwidth Optical Intensity Modulation in Self-poled Waveguides in Straontium Barium Niobate (SBN)," Photonics Technology Letters, Vol. 8, No. 8, pp. 1024-1025, Aug. 1996. Marx, J.M., Eknoyan, O., Taylor, H.F., Tang, Z., and Neurgaonkar, R.R., "Electrooptic Modulation and Self-polling in Starin-induced Waveguides in Barium Strontium Titanate Niobate (BTSN)," Applied Physics Letters, Vol. 67, pp. 1381-1383, Sept. 1995. Tang, Z., Eknoyan, O., and Taylor, H.F., "Polarisation-independent Electro-optically Tunable Wavelength Filter in LiTaO3. Suzuki, T., Eknoyan, O., and Taylor, H.F., "Electro-optic Coefficient Measurements in LiTaO3 and LiNbO3 Waveguides," J. Lightwave Technol., Vol. 11, No. 2, pp. 285-289, Feb. 1993. Google Scholar Profile : diff --git a/src/data/compiled_bios/2905.txt b/src/data/compiled_bios/2905.txt new file mode 100644 index 0000000000..65edda296f --- /dev/null +++ b/src/data/compiled_bios/2905.txt @@ -0,0 +1 @@ + TI Professor III in Analog Engineering Associate Dean for Academic Affairs Phone: 979-862-3243 Email: enjeti@tamu.edu Office: ZACH 530M Website: Linked In Profile Educational Background Ph.D., Electrical Engineering, Concordia University, Montreal, Canada 1988 M. S., Electrical Engineering, I.I.T. Kanpur, India 1982 B. S., Electrical Engineering, Osmania University, India 1980 Research Interests Advance power electronic converters for utility interface of solar- pv /wind/fuel-cell/battery-energy storage power systems Design of high temperature power conversion systems with wide band-gap semiconductor devices. New converter topologies for single/three phase solid state transformers (SSTs) with medium frequency isolation Medium voltage power converters for mega-watt scale solar-pv/wind/fuel-cell energy systems, adjustable speed drives with medium frequency transformer isolation Development of smart solar pv-systems for curved surfaces / BIPVs Power quality enhancement for interconnected renewables Power Quality Issues: Design and development of Active Power Filters; Dynamic voltage restorers (DVRs) and new & improved ride-through technologies employing Flywheel and Supercapacitors. Advancing switching power supply designs for portable power systems and modular fuel-cell systems Awards & Honors IEEE Fellow, January 2000, for "Contributions to solutions of utility interface problems in power electronic systems and harmonic mitigation. Best Paper Award in the renewable energy category for his paper titled Medium Voltage AC Collection Grid for Large Scale Photovoltaic Plants based on Medium Frequency Transformers at the Power Conversion Intelligent Motion (PCIM) conference in Shanghai, China, June 2014. Inaugural recipient of the R. David Middlebrook Technical Achievement Award from the IEEE Power Electronics Society, 2012. Texas A&M University College of Engineering Charles W. Crawford Service Award. For significant service contributions to College of Engineering & TAMU. Year 2010-2011. IEEE Industry Applications Society Distinguished Lecturer, Appointed 2006 to 2008. Texas Instruments Professor in Engineering, November 2004 to present. The Association of Former Students Distinguished Achievement Award for Teaching (University Level), May 2004. IEEE IAS Industrial Power Converter Committee (IPCC) 2003 First Paper Award: for the technical competence displayed in the paper entitled: Analysis and design of a new voltage sag compensator for critical loads in electric power distribution systems. Ford Motor Company Fellow award for promoting design in engineering education, Sept. 2001. Recipient of the select title "Class of 2001 Texas A&M University Faculty Fellow" Award for demonstrated achievement of excellence in research, scholarship and leadership in the field. IEEE IAS (IPCC) First Prize paper Award, 2002: E. Aeloiza, O. Montero, P. Enjeti and L. Moran, "Analysis and design of a new voltage sag compensator for critical loads in electric power distribution systems", in IEEE Transactions on Industry Applications July/August 2003. IEEE IAS Industrial Power Converter Committee (IPCC) Prize Paper Award: for the technical competence displayed in the paper entitled: Uffe Borup, F. Blaabjerg, P. Enjeti, "Time sharing of nonlinear loads in parallel connected three-phase converters", Presented at 2001 IEEE-IAS Annual Meeting. IEEE Industry Application Society Industrial Drives Committee (IDC) Prize Paper Award (2nd prize): for the technical competence displayed in the paper entitled: "A New Modular Motor - Modular Inverter (MM-MI) Concept for Medium Voltage Adjustable Drive Systems", Presented at 1999 IEEE-IAS Annual Meeting. Elected to fellow grade by the IEEE Fellow Committee for "Contributions to solutions of utility interface problems in power electronic systems and harmonic mitigation," 2000. IEEE Industry Application Society Industrial Power Converter Committee (IPCC) Prize Paper Award: for the technical competence displayed in the paper entitled: A New Medium Voltage PWM Inverter Topology for Adjustable Speed Drives, Presented at 1998 IEEE-IAS Annual Meeting. TAMU College of Engineering Faculty Fellow Award for year 1996-97 in recognition for Overall Contributions to the Engineering Program including classroom instruction, scholarly activities, and professional service. Developer of HARMONIXTM Active Harmonic Cancellation Filter, US Patent: 5,568,371; 1996. IEEE Industry Application Society Magazine Prize Article Award for the paper titled: Application issues for PWM adjustable speed ac motor drives, 1996. IEEE Industry Application Society Industrial Power Converter Committee (IPCC) Prize Paper Award: Third best paper for the technical competence displayed in the paper entitled: A New 24 pulse diode rectifier system for ac motor drives provides clean power utility interface with low kVA components Presented at 1996 IEEE-IAS annual meeting. Second Prize Paper Award for the best paper published in IEEE Transactions on Industry Application, during mid-year 1994 to mid-year 1995. IEEE Industry Application Society Industrial Power Converter Committee (IPCC) Prize Paper Award: Second best paper for the technical competence displayed in the paper entitled: A new approach to improve power factor and reduce harmonics in three phase diode rectifier type utility interface Presented at 1993 IEEE-IAS annual meeting. TAMU College of Engineering Award -- TEES Select Young Fellow for Research Contributions, year 1992. National Science Foundation Research Initiation Award, June 1990. Recipient of the E.t.a. Kappa Nu/Gamma Mu Award for Teaching excellence, year 1988-89 Selected Publications "Method and system for an improved converter output filter for an induction motor drive system", United States Patent: 6,122,184 ; September 19, 2000 "Method and system for adjustable speed drive system under voltage sags and short-term power interruptions" United States Patent: 6,005,362 ; December 21, 1999 "Active interphase reactor for 12-pulse rectifier", United States Patent: 5,903,066 ; May 11, 1999 "Active Harmonic Power Filter Apparatus and Methods", United States Patent: 5,568,371 ; October 22, 1996 Doctor of Philosophy (Ph.D.) so far graduated 29 Ph.D.s. Eleven of them have joined major Universities around the world as faculty members. Other occupy important positions in the industry. Currently supervising six Ph.D students and five Ms. Students. Master Degree (Thesis) so far graduated over 50 MS. Students. They occupy leading positions in the power electronics industry, patents & intellectual property management. Tutorial Co-Presenter "Design considerations of photovoltaic power systems installed on curved surfaces" IEEE ECCE 2011 Conference, Phoenix, AZ, Sept 18, 2011; Lead presenter: Dr. Robert Balog Tutorial on Power Conditioning Systems for Fuel Cells, March 7,8,9, 2007, Tubitak Mam, Energy Research Institute, Istanbul, Turkey Tutorial on Fuel Cell Power Conditioning, Fuel Cell Seminar, 2005, November 2005, Palm Springs, CA : diff --git a/src/data/compiled_bios/2906.txt b/src/data/compiled_bios/2906.txt new file mode 100644 index 0000000000..c6627a3a6d --- /dev/null +++ b/src/data/compiled_bios/2906.txt @@ -0,0 +1 @@ + Professor Phone: 979-845-9586 FAX: 979-845-7161 Email: kentesar@tamu.edu Office: WEB 315C Website: Personal Website Google Scholar Profile Educational Background Ph.D. University of Michigan, Ann Arbor, 2005 M.S. Tehran Polytechnic University, 1999 B.S. Sharif University of Technology, 1995 Research Interests Radio frequency/microwave/millimeter-wave integrated circuits and systems Integrated RF photonics RF/ Microwave chemical/biochemical sensing systems Microwave filters, antennas and passive components Awards & Honors Qualcomm Faculty Award, 2017 and 2018 Student paper award, IEEE RFIC Symposium, 2014, IEEE IMS Symposium, 2011. Student paper honorable mention, IEEE AP Symposium, 2013. Student paper nominations, IEEE RFIC Symposium, 2016, 2012 and 2009, IEEE IMS Symposium, 2011. Outstanding Faculty Award for Research, Teaching and Service, ECE Department, TAMU, 2012. NSF CAREER Award, National Science Foundation, 2011. Selected as second team for the Semiconductor Research Corporation (SRC) design challenge in the final student design computation, 2009. Selected Publications P. Sepidband, and K. Entesari, A CMOS Real-Time Spectrum Sensor Based on Phasers for Cognitive Radios, Accepted in IEEE Transactions on Microwave Theory and Techniques. P. Sepidband, and K. Entesari, A CMOS Wideband Receiver with Enhanced Out-of-Band IIP3/IIP2 Using Blocker Detection and Rejection, Accepted in IEEE Transactions on Microwave Theory and Techniques. V. D. Rezaei, K. Entesari, A Fully on-Chip 80 pJ/b OOK Super-Regenerative Receiver with Sensitivity-Data Rate Trade-off Capability, Accepted in IEEE Journal of Solid-State Circuits. P. Sepidband, and K. Entesari, RF/Analog CMOS Spectrum Sensing, Accepted in IEEE Microwave Magazine. G. Choo, S. Cai, B. Wang, C. Madsen, K. Entesari, S. Palermo, Fully-Automatic Monitor-based Tuning of Reconfigurable Silicon Photonics APF-based Pole/Zero Filters, Accepted in IEEE Journal of Lightwave Technology. M. Elkholy, S. Shakib, J. Dunworth, V. Aparin and K. Entesari, A Wideband Variable Gain LNA with High OIP3 for 5G using 40nm CMOS, IEEE Microwave and Wireless Components Letters, vol. 28, no. 1, pp. 64-66, Jan. 2018. R. Ebrahimi Ghiri, A. P. Saghati, E. Kaya, and K. Entesari, A Miniaturized Contact-less UWB Microwave System for Time-Domain Dielectric Spectroscopy, IEEE Transactions on Microwave Theory and Techniques, vol. 65, no. 12, pp. 5334-5344, Dec. 2017. M. Elkholy*, and K. Entesari, A Wideband Low Power LC-DCO-Based Complex Dielectric Spectroscopy System in 0.18 m CMOS IEEE Transactions on Microwave Theory and Techniques, vol. 65, no. 11, pp. 4461-474, Nov. 2017. Ali. P. Saghati*, J. Batra, J. Kameoka, and K. Entesari, A Metamaterial-inspired Wideband Microwave Interferometry Sensor for Dielectric Spectroscopy of Liquid Chemicals IEEE Transactions on Microwave Theory and Techniques, vol. 65, no. 7, pp. 2558-2571, July 2017. A. Helmy, M. M. Bajestan, and K. Entesari, Silicon-Based RF/Microwave Dielectric Spectroscopy and Sensing IEEE Microwave Magazine, vol. 18, no. 5, pp. 57-72, July 2017. A. P. Saghati, A. P. Saghati, K. Entesari, An Ultra-miniature SIW Cavity-Backed Slot Antenna, IEEE Antennas and Wireless Propagation Letters, vol. 16, pp. 313-316, 2017. S. Shakib, H-C. Park, J. Dunworth, V. Aparin, and K. Entesari, A Highly Efficient and Linear Power Amplifier for 28-GHz 5G Phased Array Radios in 28-nm CMOS, IEEE Journal of Solid-State Circuits, vol. 51, no. 12, pp. 3020-3036, Dec.2016. Google Scholar Profile : diff --git a/src/data/compiled_bios/2907.txt b/src/data/compiled_bios/2907.txt new file mode 100644 index 0000000000..93cf70f84e --- /dev/null +++ b/src/data/compiled_bios/2907.txt @@ -0,0 +1 @@ + Delbert A. Whitaker Chair Professor Senior Associate Vice President for Research Phone: 979-845-7408 FAX: 979-845-6259 Email: georghiades@tamu.edu Office: ADMN 312, WEB 301S Website: Personal Website Google Scholar Profile Educational Background D.Sc., Washington University, 1985 M.S.,Washington University,1983 B.E.,American University of Beirut,1980 Research Interests Statistical communication theory Receiver design Mobile radio (multipath/fading channels) Synchronization and equalization Distributed source coding Interference rejection techniques Multicarrier modulation Space-time coding Optical and magnetic recording channels Awards & Honors Keynote speaker, International Conference on Wireless and Optical Communications (WOC-2002), July 17-19, 2002, Banff, Canada. Delbert A. Whitaker Endowed Chair Professor, 2002- Recipient of the 2002 Brocket Professorship IEEE Fellow Halliburton Professor, Texas A&M University, 1995 J.W. Runyon, Jr., Professorship, 1997-2002 Selected Publications M. Uysal and C.N. Georghiades, New Non-orthogonal Space-time Block Codes for 3-TX Antennas, accepted for publication in the IEE Electronic Letters November 2002. M. Uysal and C.N. Georghiades, An Efficient Implementation of a Maximum-Likelihood Detector for Space-Time Block Coded Systems, accepted for publication in the IEEE Transactions on Communications. Z. Cai, M. Lu and C.N. Georghiades, Topology-Transparent TDMA Broadcast Scheduling in Multihop Packet Radio Networks, to appear in the IEEE Transactions on Vehicular Technology. A. Liveris, Z. Xiong and C.N. Georghiades, Compression of Binary Sources with Side Information at the Decoder Using LDPC Codes, IEEE Communications Letters, Vol. 6, No. 10, pp. 440-442, October 2002. A. Liveris, Z. Xiong and C.N. Georghiades, A Distributed Source Coding Technique for Correlated Images Using Turbo-Codes, IEEE Communications Letters, vol. 6, No. 9, pp. 379-381, September 2002. S. Choe, C.N. Georghiades and K. Narayanan, Improved Upper Bounds on Error Probability for Biorthogonal Trellis-Coded CDMA Systems, IEEE Communication Letters, vol. 6, No. 9, pp. 361-363, September 2002. Y. Xie and C.N. Georghiades, An EM-Based Channel Estimation Algorithm For OFDM With Transmitter Diversity, to appear in the IEEE Transactions on Communication, January 2003. Q. Li, X. Wang, and C.N. Georghiades, Iterative Multiuser Detection for Turbo-Coded CDMA in Multipath Fading, to appear in the IEEE Transactions on Vehicular Technology. S. Choe and C.N. Georghiades, On the Performance of a Novel Quasi-Synchronous Trellis-Coded CDMA System, to appear in the IEEE Transactions on Communications, December 2002. Murat Uysal, Naofal Al-Dhahir and Costas N. Georghiades, A Space-Time Block-Coded OFDM Scheme for Unknown Frequency-Selective Fading Channels, IEEE Communication Letters, Vol. 5, pp. 393-395, October 2001. Google Scholar Profile : diff --git a/src/data/compiled_bios/2908.txt b/src/data/compiled_bios/2908.txt new file mode 100644 index 0000000000..e5f73de526 --- /dev/null +++ b/src/data/compiled_bios/2908.txt @@ -0,0 +1 @@ + Associate Professor Phone: 979-488-4551 FAX: 979-845-2630 Email: pgratz@tamu.edu Office: WEB 333M Website: Research Website Google Scholar Profile Educational Background PhD in Electrical and Computer Engineering from the University of Texas at Austin, December 2008 Research Interests Security, power, reliability and performance in multicore and distributed computer architectures Processor memory systems On-chip interconnection networks Selected Publications Kill the program counter: Reconstructing program behavior at the last level cache, J. Kim, E. Teran, P. V. Gratz, D. Jimenez, S. Pugsley, C. Wilkerson, 22nd International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), Apr. 2017. Acceptance rate: 17.4% Path Confidence based Lookahead Prefetching, J. Kim, S. Pugsley, P. V. Gratz, A. Reddy, C. Wilkerson, Z. Chishti, The 49th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO), Oct. 2016. Acceptance rate: 22%, Nominated for Best Paper (6/283, top 2.1%) A Control-Theoretic Approach for Energy Efficient CPU-GPU Subsystem in Mobile Platforms, D. Kadjo, R. Ayoub, M. Kishinevsky, and P. V. Gratz. The 52th ACM/EDAC/IEEE Design Automation Conference (DAC), June 2015. Nominated for Best Paper (7/804, top .8%) B-Fetch: Branch Prediction Directed Prefetching for Chip-Multiprocessors, D. Kadjo, J. Kim, P. Sharma, R. Panda, P. V. Gratz, D. A. Jimenez, The 47th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO), Dec. 2014. Nominated for Best Paper (5/279, top 1.8%) Up By Their Bootstraps: Online Learning in Artificial Neural Networks for CMP Uncore Power Management, J. Won, X. Chen, P. V. Gratz, J. Hu, and V. Soteriou, The 20th IEEE International Symposium on High Performance Computer Architecture (HPCA), Feb. 2014. Acceptance rate: 25% An Evaluation of the TRIPS Computer System, M. Gebhart, B. Maher, K.E. Coons, J. Diamond, P. Gratz, M. Marino, N. Ranganathan, B. Robatmili, A. Smith, J. Burrill, S.W. Keckler, D. Burger, K.S. McKinley. The 14th International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), March 2009. Acceptance rate: 27%. Best Paper Award Google Scholar Profile : diff --git a/src/data/compiled_bios/2909.txt b/src/data/compiled_bios/2909.txt new file mode 100644 index 0000000000..af04a33ebb --- /dev/null +++ b/src/data/compiled_bios/2909.txt @@ -0,0 +1 @@ + Professor Presidential Impact Fellow Joint Faculty in: Electrical and Computer Engineering Phone: 979-845-9686 FAX: 979-845-6259 Email: arum.han@tamu.edu Office: WEB 309C,GERB 237 Website: Research Website Google Scholar Profile Educational Background Ph.D. Georgia Institute of Technology, 2005 M.S. University of Cincinnati, 2000 B.S. Seoul National University, 1997 Research Interests Microfluidics and lab-on-a-chip systems High-throughput systems approach to enabling microbial bioenergy and cell-based biomanufacturing High-throughput systems accelerating drug/vaccine development against emerging infectious diseases Organ-on-a-chip & microphysiological systems (e.g., brain-on-a-chip) Single cell analysis microsystems for cancer analysis Awards & Honors 2017 - Presidential Impact Fellow, Texas A&M University 2016 - Dean of Engineering Excellence Award, Texas A&M University 2015 - E. D. Brockett Professorship Award, Texas A&M University 2014 - Engineering Genesis Award for Multidisciplinary Research, Texas A&M University 2014 - Eugene Webb Faculty Fellow, Texas A&M University 2012 - Texas A&M Engineering Experiment Station (TEES) Fellow 2012 - Department of Electrical and Computer Engineering Outstanding Professor Award Selected Publications H. S. Kim, A. R. Guzman, H. R. Thapa, T. P. Devarenne, and A. Han, A Droplet Microfluidics Platform for Rapid Microalgal Growth and Oil Production Analysis, Biotechnology and Bioengineering, Vol. 113 (8), pp. 1691-1701, 2016. H. Wang, Z. Liu, C. Koo, S. Kim, Y. Cho, D. Y. Jang, Y. J. Kim, and A. Han, Microfluidic Acoustophoretic Force Based Low Concentration Oil Separation and Detection from Environment, Lab on a Chip, Vol. 14, pp. 947-956, 2014. J. Park, S. Kim, S. I. Park, Y. Choe, J. Li, and A. Han, A Microchip for Quantitative Analysis of CNS Axon Growth under Localized Biomolecular Treatments, J. Neuroscience Methods, Vol. 21, pp. 166-174, 2014. C. Koo, M. Malapi-Wight, H. Kim, O. S. Cifci, V. Vaughn, B. Ma, S. Kim, H. Abdel-Raziq, K. Ong, Y. K. Jo, D. Gross, W. B. Shim, and A. Han, Development of a Lab-on-a-Chip Real-Time PCR System for Portable Plant Disease Diagnostics, PLoS ONE, Vol. 8 (12), e82704, 2013. A. Han, H. Hou, L. Li, H. S. Kim, and P. de Figueiredo, Microfabricated Devices in Microbial Bioenergy Sciences, Trends in Biotechnology, Vol. 31 (4), pp. 225-232, 2013. Google Scholar Profile : diff --git a/src/data/compiled_bios/291.txt b/src/data/compiled_bios/291.txt new file mode 100644 index 0000000000..a00879d041 --- /dev/null +++ b/src/data/compiled_bios/291.txt @@ -0,0 +1 @@ + Rong Ge Associate Professor Home Research People Publications Teaching Services News [2018/08] Congratulations to Tyler and Pengfei! They are accepted to the Student Volunteer Program for SC18. [2018/07] Congratulations to Zheng! His paper Energy Analysis and Optimization for Resilinet Linear Systems (coadvised by Jon) is accepted to Cluster18. [2018/07] Congratulations to Pengfei and Derek! Their poster Maximizing Throughput on Power-Bounded HPC Systems is accepted to Cluster18. Contact Office: Rm 209 McAdams Hall Voice: (864)656-7684 Email: rge AT CLEMSON DOT EDU For Prospective Students I usually recruit 1-2 new Ph.D. students to join my lab every year. Self-motivated students are strongly encouraged to contact me. Rong Ge is Associate Professor in the School of Computing at Clemson University. Her research interest includes high performance computing, parallel and distributed systems, and performance and power analysis and modeling. Dr. Ge co-directs the Scalable Computing and Analytics Lab with Dr. Xizhou Feng. The undergoing research explores novel systems and software design to improve performance, scalability, energy efficiency, and resilience of compute- and data-intensive applications on parallel and distributed systems. Particularly, it takes an experimental systems approach that combines system prototyping, profiling, modeling, and controlling, and develops theoretical foundations and enabling technologies to scalable computing and analytics. Dr. Ge is a recipient of the NSF Faculty Early Career Development (CAREER) Award in 2015. Before joining Clemson University she was Assistant Professor at Marquette University. See her up-to-date Curriculum Vitae . Home | Teaching | Research | Publications | Service design from HTML5webtemplates.co.uk diff --git a/src/data/compiled_bios/2910.txt b/src/data/compiled_bios/2910.txt new file mode 100644 index 0000000000..b98aac06a4 --- /dev/null +++ b/src/data/compiled_bios/2910.txt @@ -0,0 +1 @@ + Associate Professor Phone: 979-845-4217 FAX: 979-845-6259 Email: rusty.harris@tamu.edu Office: WEB 205M Website: Personal Website Google Scholar Profile Educational Background Doctor of Philosophy, Texas Tech University, 2003, Electrical & Computer Engineering M.S., Texas Tech University, 1999, Electrical Engineering B.S., Texas Tech University, 1997, Engineering Physics, Electrical Engineering emphasis Research Interests CMOS and Silicon technology Materials integration Novel electrical and physical device and materials characterization III-V and nanophotonics Self-assembled nanotechnology Supercritical Fluid Processing and Deposition Google Scholar Profile : diff --git a/src/data/compiled_bios/2911.txt b/src/data/compiled_bios/2911.txt new file mode 100644 index 0000000000..68d94a4288 --- /dev/null +++ b/src/data/compiled_bios/2911.txt @@ -0,0 +1 @@ + Professor Joint Faculty in: Electrical and Computer Engineering Phone: 979-845-8932 FAX: 979-845-3259 Email: prhemmer@tamu.edu Office: WEB 235G Google Scholar Profile Educational Background Ph.D., MIT, 1984, Physics B.S., University of Dayton, 1976 Research Interests Solid materials for quantum optics, especially "dark resonance" excitation Materials and techniques for resonant nonlinear optics Phase-conjugate-based turbulence aberration and compensation Spectral hole burning materials and techniques for ultra-dense memories and high temperature operation Quantum computing in solid materials Quantum communication and teleportation in trapped atoms Holographic optical memory materials Smart pixels devices Optical correlators Photorefractive applications Atomic clocks Laser trapping and cooling. Awards & Honors National Science Foundation Fellowship Summa Cum Laude, University of Dayton Air Force Research Laboratory Chief Scientist's award, AFOSR Star Team Award (three times) Selected Publications Single proteins under a diamond spotlight, Philip Hemmer and Carmen Gomes, Science 6 March 2015: 1072-1073. [DOI:10.1126/science.aaa7440] Toward Molecular-Scale MRI Science 1 February 2013: Vol. 339 no. 6119 pp. 529-530DOI:10.1126/science.1233222 Where Is My Quantum Computer? Science 24 April 2009: Vol. 324 no. 5926 pp. 473-474DOI:10.1126/science.1170912 Google Scholar Profile : diff --git a/src/data/compiled_bios/2912.txt b/src/data/compiled_bios/2912.txt new file mode 100644 index 0000000000..dca44a637e --- /dev/null +++ b/src/data/compiled_bios/2912.txt @@ -0,0 +1 @@ + Associate Professor Phone: 979-862-1092 Email: ihou@tamu.edu Office: WEB 334C Website: Research Website Google Scholar Profile Educational Background B.S. in Electrical Engineering from National Taiwan University in 2004 M.S. in Computer Science from University of Illinois, Urbana-Champaign in 2008 Ph.D. in Computer Science from University of Illinois, Urbana-Champaign in 2011 Research Interests wireless networks wireless sensor networks real-time systems distributed systems vehicular ad hoc networks Awards & Honors C.W. Gear Outstanding Graduate Student Award from the University of Illinois at Urbana-Champaign Silver Prize in the Asian Pacific Mathematics Olympiad Selected Publications Jennifer C. Hou, David K. Y. Yau, Chris Y. T. Ma, Yong Yang, Honghai Zhang, I-Hong Hou, Nageswara S. V. Rao, and Mallikarjun Shankar, Coverage in Wireless Sensor Netwoks, In Guide to Wireless Sensor Networks. Sudip Misra, Issac Woungang, Subhas C. Misra (eds), Springer-Verlag (London), June 2009. I-Hong Hou and Chung Shue Chen, An Energy-Aware Protocol for Self-Organizing Heterogeneous LTE Systems, accepted for publication in IEEE Journal on Selected Areas in Communications I-Hong Hou and P.R. Kumar, Real-Time Communication over Unreliable Wireless Links: A Theory and Its Applications, IEEE Wireless Communications Magazine, vol. 19, no. 2, February, 2012, pp. 48 59. I-Hong Hou and P.R. Kumar, Queueing Systems with Hard Delay Constraints: A Framework for Real-Time Communication over Unreliable Wireless Channels, Queueing Systems: Theory and Applications (QUESTA), vol. 71, no. 1-2, June, 2012, pp. 151 177. I-Hong Hou, Yao Liu, and Alex Sprintson, A Non-Monetary Protocol for Peer-to-Peer Content Distribution in Wireless Broadcast Networks with Network Coding, to appear in Proc. of WiOpt, 2013. I-Hong Hou and Chung Shue Chen, Self-Organized Resource Allocation in LTE Systems with Weighted Proportional Fairness, in Proc. of ICC, 2012.[pdf][slides] I-Hong Hou and Anh Truong and Santanu Chakraborty and P.R. Kumar, Optimality of Periodwise Static Priority Policies in Real-time Communications, in Proc. of CDC, 2011. (Invited) [pdf][slides] I-Hong Hou and P.R. Kumar, Scheduling Periodic Real-Time Tasks with Heterogeneous Reward Requirements, to appear in Proc. of RTSS 2011 (acceptance rate=21%). [pdf][slides] I-Hong Hou and Piyush Gupta, Distributed Resource Allocation for Proportional Fairness in Multi-Band Wireless Systems, Proc. of ISIT, 2011. [pdf] I-Hong Hou and P.R. Kumar, Broadcasting Delay-Constrained Traffic over Unreliable Wireless Links with Network Coding, Proc. of MOBIHOC, 2011 (acceptance rate=20%). [pdf] [slides] Google Scholar Profile : diff --git a/src/data/compiled_bios/2913.txt b/src/data/compiled_bios/2913.txt new file mode 100644 index 0000000000..017ed6df9f --- /dev/null +++ b/src/data/compiled_bios/2913.txt @@ -0,0 +1 @@ + Associate Professor Phone: 979-862-4253 Email: hoyos@tamu.edu Office: WEB 315D Website: Personal Website Google Scholar Profile Educational Background Ph.D. University of Delaware, 2004 M.S. University of Delaware, 2002 B.S. Pontificia Universidad Javeriana, 2000 Research Interests Design and implementation of mixed-signal processing systems, techniques and algorithms that jointly design for analog and digital systems with the objective of reducing power consumption and complexity or enhancing performance of high-speed and high dynamic range wireline and wireless communication systems Mixed-Signal Processing Solutions for High Speed, High-Bandwidth, High-Dynamic Range and Low-Power Applications Communication Theory, Wireless Communications, Broadband Mobile Communications Robust Signal Processing and its Applications Selected Publications S. Pentakota and S. Hoyos, Least Mean Squared Background Calibration For OFDM Multi Channel Receivers, to appear in Journal of Circuits, Systems, and Computers. S. Hoyos, B. Tsang, J. Vanderhaegen, Y. Chui, Y. Aibara, H. Khorramabadi, and B. Nikolic, A 15 MHz to 600 MHz, 20 mW, 0.38 mm2 Split-Control, Fast Coarse Locking Digital DLL in 0.13um CMOS, to appear at the IEEE Transactions on Very Large Scale Integration Systems. R. Saad and S. Hoyos, "Feed-Forward Spectral Shaping Technique for Clock-Jitter Induced Errors in Digital-to-Analog Converters," IET Electronics Letters, Vol 47, Issue 3, pp. 826-828, Feb. 2011. E.A. Sobhy and S. Hoyos, A Multiphase Multipath Technique With Digital Phase Shifters for Harmonic Distortion Cancellation, IEEE Transactions on Circuits and Systems II, Vol. 57 , No. 12, pp. 921-925, Dec. 2010. S. Hoyos, S. Pentakota, Z. Yu, E. Sobhy, X. Chen, R. Saad, S. Palermo, and J. Silva-Martinez, Clock-Jitter Tolerant Wideband Receivers: An Optimized Multi-Channel Filter-Bank Approach, IEEE Transactions on Circuits and Systems I, Vol. 58, No. 2, pp. 253 263, Feb. 2011. X. Chen, Z. Yu, S. Hoyos, B. M. Sadler, and J. Silva-Martinez, A Sub-Nyquist Rate Sampling Receiver Exploiting Compressive Sensing, IEEE Transactions on Circuits and Systems I, Vol. 58, Issue 3, pp. 507-520, Mar. 2011. R. Saad and S. Hoyos, "Sensitivity of single-bit continuous-time analogue-to-digital converters to out-of-band blockers," IET Electronics Letters, Vol. 46, No. 12, pp. 826828, June 2010. K. Raviprakash, R. Saad, and S. Hoyos, Reduced Area Discrete-Time Down-Sampling Filter Embedded with Windowed Integration Samplers, IET Electronics Letters, Vol. 46, Issue 12, pp. 828830, June 2010. J. Kim, S. Hoyos, and J. Silva-Martinez, Wideband Common-Gate CMOS LNA Employing Dual Negative Feedback with Simultaneous Noise, Gain, and Bandwidth Optimization, IEEE Transactions On Microwave Theory And Techniques, Vol. 58, No. 9, pp. 2340-2351, Sept. 2010. Top 2 most read paper of the IEEE- Microwave Theory and Techniques, September 2010. C.-Y. Lu, F. Silva-Rivas, P. Kode, J. Silva-Martinez, and S. Hoyos, "A 6th-order 200MHz IF Bandpass Sigma-Delta Modulator With over 68dB SNDR in 10MHz Bandwidth, IEEE Journal of Solid State Circuits, Vol. 45, No. 6, pp. 1122-1136, June 2010. Top 16 most accessed paper in IEEE overall, June 2010, and top 6 most read paper of the IEEE- Journal of Solid-State Circuits, June 2010. Google Scholar Profile : diff --git a/src/data/compiled_bios/2914.txt b/src/data/compiled_bios/2914.txt new file mode 100644 index 0000000000..5821307255 --- /dev/null +++ b/src/data/compiled_bios/2914.txt @@ -0,0 +1 @@ + Professor Co-Director of Graduate Programs Joint Faculty in: Electrical Engineering Phone: 979-847-8768 FAX: 979-845-2630 Email: jianghu@tamu.edu Office: WEB 333L Website: Research Website Google Scholar Profile Educational Background B.S. degree in optical engineering from Zhejiang University (China) in 1990 M.S. degree in physics in 1997 Ph.D. degree in electrical engineering from the University of Minnesota in 2001. Research Interests Previous research: interconnect optimization, clock network synthesis, variation tolerant design, power efficient physical design and design for manufacturability Current research: optimization for energy-efficient VLSI circuits, on-chip communication fabrics, dynamic power management, adaptive circuit design, interactions between physical design and system-level design, heuristics for large scale combinatorial optimization Awards & Honors IEEE Fellow Best paper award at the ACM/IEEE Design Automation Conference in 2001 IBM Invention Achievement Award in 2003 Best paper award at the IEEE/ACM International Conference on Computer-Aided Design in 2011 Served as technical program committee members for DAC, ICCAD, ISPD, ISQED, ICCD, DATE, ISCAS, ASP-DAC and ISLPED General chair for the 2012 ACM International Symposium on Physical Design. Associate editor of IEEE Transactions on CAD 2006-2011. Selected Publications H. Hou, J. Hu and S. S. Sapatnekar, NonHanan routing, IEEE Trans. Computer-Aided Design, Vol. 18, No. 4, pp. 436-444, April 1999. J. Hu and S. S. Sapatnekar, Algorithms for non-Hanan-based optimization for VLSI interconnect under a higher order AWE model, IEEE Trans. C. J. Alpert, G. Gandham, J. Hu, J. L. Neves, S. T. Quay and S. S. Sapatnekar, Steiner tree optimization for buffers, blockages and bays, IEEE Trans. Computer-Aided Design, Vol. 20, No. 4, pp. 556-562, April 2001. J. Hu and S. S. Sapatnekar, A survey on multi-net global routing for integrated circuits, Integration: The VLSI Journal, Vol. 31, No. 1, pp. 1-49, November 2001. (Invited paper) C. J. Alpert, G. Gandham, M. Hrkic, J. Hu, A. B. Kahng, J. Lillis, B. Liu, S. T. Quay, S. S. Sapatnekar and A. J. Sullivan, Buffered Steiner trees for difficult instances, IEEE Trans. Computer-Aided Design, Vol. 21, No. 1, pp. 3-14, January 2002. J. Hu and S. S. Sapatnekar, Performance driven global routing through gradual refinement, The VLSI Design Journal, Vol. 15, No. 3, pp. 595-604, 2002. J. Hu and S. S. Sapatnekar, A timing-constrained simultaneous global routing algorithm, IEEE Trans. Computer-Aided Design, Vol. 21, No. 9, pp. 1025-1036, September 2002. J. Hu, C. J. Alpert, S. T. Quay and G. Gandham, Buffer insertion with adaptive blockage avoidance, IEEE Trans. Computer-Aided Design, Vol. 22, No. 4, pp. 492-498, April, 2003. C. J. Alpert, J. Hu, S. S. Sapatnekar and P. G. Villarrubia, A practical methodology for early buffer and wire resource allocation, IEEE Trans. Computer-Aided Design, Vol. 22, No. 5, pp. 573-583, May, 2003. C. J. Alpert, C. Chu, G. Gandham, M. Hrkic, J. Hu, C. Kashyap and S. T. Quay, Simultaneous driver sizing and buffer insertion using a delay penalty estimation technique, IEEE Trans. Computer-Aided Design, Vol. 23, No. 1, pp. 136-141, January, 2004. Google Scholar Profile : diff --git a/src/data/compiled_bios/2915.txt b/src/data/compiled_bios/2915.txt new file mode 100644 index 0000000000..dca6f52055 --- /dev/null +++ b/src/data/compiled_bios/2915.txt @@ -0,0 +1 @@ + Professor Phone: 979-845-7476 Email: ghuang@tamu.edu Office: WEB 320E Google Scholar Profile Educational Background D.Sc., Washington University, 1980 Research Interests Large System Theory and its Applications: Data Networks Power System Parallel/Distributed Computing and Control Google Scholar Profile : diff --git a/src/data/compiled_bios/2916.txt b/src/data/compiled_bios/2916.txt new file mode 100644 index 0000000000..774e44a3de --- /dev/null +++ b/src/data/compiled_bios/2916.txt @@ -0,0 +1 @@ + Adjunct Professor Phone: 979-862-3198 Email: ghuff@tamu.edu Office: WEB 301R Website: Research Website Google Scholar Profile Educational Background Ph.D. University of Illinois, Urbana-Champaign 2006 M.S. University of Illinois, Urbana-Champaign 2003 B.S. University of Illinois, Urbana-Champaign 2000 Research Interests Novel high frequency antennas and other passive devices (from microwave to terahertz) for radar, sensing and communications applications Reconfigurable antennas and high performance circuits for adaptive systems, tunable devices and neural networks EMI, EMC and waveform distortion from radiating structures on fixed and portable platforms for wireless applications Google Scholar Profile : diff --git a/src/data/compiled_bios/2917.txt b/src/data/compiled_bios/2917.txt new file mode 100644 index 0000000000..8c99544d71 --- /dev/null +++ b/src/data/compiled_bios/2917.txt @@ -0,0 +1 @@ + Associate Professor Phone: 979-458-1468 FAX: 979-845-6259 Email: jimji@tamu.edu Office: WEB 309E Website: Personal Website Google Scholar Profile Educational Background Ph.D. University of Illinois at Urbana-Champaign, 2003 M.S. Tsinghua University, Beijing, 1997 B.S. Tsinghua University, Beijing, 1993 Research Interests Constrained imaging using mathematical modeling Reconstruction algorithms in parallel imaging Cardiac imaging and cancer imaging Image registration, segmentation and analysis Selected Publications X. Ji, H. Pan, and Z.-P. Liang, Further analysis of interpolation effects in mutual information-based image registration, IEEE Trans. on Medical Imaging., no. 9, v. 22, pp. 1131-1140, Sept. 2003. Z.-P. Liang, E. M. Haacke, and J. Ji, Introduction to image reconstruction, book chapter in Signal Processing for MR Imaging and Spectroscopy (H. Yang eds.), Marcel Dekker Inc., New York, 2002. X. Ji, D. S. Wang and Y. Peng, High speed digital scan converting algorithm with moire pattern make-up and roaming zoom window, Journal of Tsinghua University (Chinese), v. 37, n. 10, pp. 65-68, 1997. D. S. Wang, X. D. Zhang, X. Ji and W. Cao, A multimedia communication subsystem based on PCI bus, Journal of Communication (Chinese), v. 18, n. 12, pp. 46-50, 1997. X. Ji, M. Aref, E. Wiener and Z.-P. Liang, An improved MRI method for dynamic contrast-enhanced imaging of tumors:, in Proc. of 25th Ann. Intl. Conf. IEEE Engr. in Med. and Biol. Soc., pp. 478-481, Cancun, Mexico, September, 2003. J. X. Ji, L. Ying, J. Ma, D. C. Munson, Jr. and Z.-P. Liang, Phase-sensitive inversion-recovery imaging using a Markov random field model, in Proc. 11th Ann. Meeting Intl. Soc. Mag. Reson. Med., p. 1068, Toronto, Ontario, Canada, July, 2003. J. X. Ji, J. Ma, D. C. Munson, Jr. and Z.-P. Liang, Optimizing data acquisition and image reconstruction for generalized series dynamic imaging, in Proc. 11th Ann. Meeting Intl. Soc. Mag. Reson. Med., p. 1000, Toronto, Ontario, Canada, July, 2003. X. Ji and Z.-P. Liang, Generalized series dynamic imaging using deformable reference, in Proc. 2002 IEEE Intl. Sym. Biomed. Imaging, pp. 789-792, Washington DC, July, 2002. X. Ji and Z.-P. Liang, High resolution cardiac magnetic resonance imaging: a model-based approach, in Proc. of 23rd Ann. Intl. Conf. IEEE Engr. in Med. and Biol. Soc., pp.2268-2271, Istanbul, Turkey, October, 2001. X. Ji and Z.-P. Liang, A model-based method for image reconstruction from sparse (k,t)-space data, in ISMRM Workshop on Minimum Data Acquisition: Making More with Less, Marco Island, Florida, October, 2001. Google Scholar Profile : diff --git a/src/data/compiled_bios/2918.txt b/src/data/compiled_bios/2918.txt new file mode 100644 index 0000000000..637fb9578f --- /dev/null +++ b/src/data/compiled_bios/2918.txt @@ -0,0 +1 @@ + Professor of Practice Phone: 979-458-8429 Email: skalafatis-tamu@tamu.edu Office: WEB 205E Google Scholar Profile Educational Background MSEE University of Arizona, Tucson, AZ 1991 BSEE University of Surrey, Surrey, UK 1989 Research Interests Datacenter system optimization especially with respect to CPU performance, IO latency and memory subsystem optimization under NVM Improvements in the area of SDI., SDN, SDS to enable higher server deployment efficiency Robotic application to manufacturing environments. Ex sanding, loading/unloading, human-robot interaction, swarming to enable complex task completion Sensor system development as applied to agriculture ex soil analysis, herding of cattle as well as daily task optimizations ex. human movement tracking of heavy loads, applications of drones to security Awards & Honors Intel Achievement Award (Lynnfield Team), 2005 Intel Divisional Recognition Award, 1993, 2000, 2001, 2003, 2009, 2010 Google Scholar Profile : diff --git a/src/data/compiled_bios/2919.txt b/src/data/compiled_bios/2919.txt new file mode 100644 index 0000000000..1049cbfb27 --- /dev/null +++ b/src/data/compiled_bios/2919.txt @@ -0,0 +1 @@ + Assistant Professor Email: dileep.kalathil@tamu.edu Office: WEB 334G Website: Personal webpage Google Scholar Profile Educational Background Postdoctoral Scholar, EECS, UC Berkeley, 2014 - 2017 Ph.D., Electrical Engineering, University of Southern California, 2014 M.Tech., Electrical Engineering, Indian Institute of Technology Madras, 2008 B.Tech., Electronics and Communications Engineering, National Institute of Technology Calicut, 2006 Research Interests Theory: Reinforcement Learning, Control Theory, Game Theory Applications: Intelligent Transportation Systems, Renewable Energy Systems, Cyber-Physical Systems Selected Publications Dileep Kalathil, Chenye Wu, Kameshwar Poolla, Pravin Varaiya, Sharing Economy for Electricity Storage, IEEE Transactions on Smart Grids, Accepted, 2017. William Haskel, Rahul Jain, Dileep Kalathil, Empiri- cal Dynamic Programming, Mathematics of Operations Research, 41(2):402 - 429, January, 2016. Dileep Kalathil, Naumaan Nayyar, Rahul Jain, Decentralized Learning for Multi-Player Multi-Armed Bandits, IEEE Transactions on Information Theory, 60(4):2331-2345, April, 2014. Google Scholar Profile : diff --git a/src/data/compiled_bios/292.txt b/src/data/compiled_bios/292.txt new file mode 100644 index 0000000000..9e93a6077b --- /dev/null +++ b/src/data/compiled_bios/292.txt @@ -0,0 +1 @@ + Wayne Goddard Professor School of Computing School of Mathematical and Statistical Sciences Clemson University Contact details Courses for Spring 2019 CpSc 3120: Intro to Algorithms Other Teaching Links The publisher page for the book Introducing the Theory of Computation . Corrections for the first printing are here The publisher page for the book Research Methodology: An Introduction . The publisher page for the Handbook of Discrete and Combinatorial Mathematics, Second Edition Rough drafts of brief texts for: Intro to C programming | Java 2nd semester Data Structures and C++ | Discrete Math for Computing Algorithms | AI and Game Playing Some older course websites Research Publications: Graph theory | Network & distributed algorithms Games and Puzzles | Miscellaneous University vita The 33nd Clemson mini-conference was held Saturday October 27, 2018. Personal Interests & Connections Everyone should know the Common Core Mathematical Practices My general puzzle and games pages | Middle School Math Club ideas University of KwaZulu-Natal | MIT Journals Discrete Mathematics | Utilitas Mathematica | AKCE Journal MathCounts, ARML , and duplicate bridge Former students: Mieso Denko (deceased) | Zhengnan Shi | Jeremy Lyle | Jobby Jacob | Kirsti Wash | Honghai Xu An art blog I like. diff --git a/src/data/compiled_bios/2920.txt b/src/data/compiled_bios/2920.txt new file mode 100644 index 0000000000..dcb20ed4cc --- /dev/null +++ b/src/data/compiled_bios/2920.txt @@ -0,0 +1 @@ + Professor Joint Faculty in: Electrical and Computer Engineering Phone: 979-845-7564 FAX: 979-845-6259 Email: kameoka@tamu.edu Office: WEB 205F Google Scholar Profile Educational Background Ph.D., Cornell University, 2002 M.S. in Electrical Engineering, Cornell University, 1999 M.Eng. in Nuclear Science, Cornell University, 1997 B.S., Chiba University, 1995 Research Interests Bio-Nano Machining, Nanostructure Science and Engineering. Nanosensors and Molecular Manipulation Micro and Nanofluidics Bio-Nano hybrid devices for medical applications Selected Publications Jun Kameoka, David A. Czaplewski, Haigqin Liu, H. G. Craighead. "Polymeric Nanowire Architecture. Invited Highlight Review Paper for Journal of Materials Chemistry volume 14 1503-1505 (2004) Haigqin Liu, Jun Kameoka, David A. Czaplewski, H. G. Craighead. "A Polymeric Nanowire Chemical Sensor" volume 4 671-675 Nano Letter (2004) Jun Kameoka, Harold Craighead. "Fabrication of oriented polymeric nanofibers on planar surfaces by electrospinning." Applied Physics Letters. Reid Orth, Jun Kameoka, W Zipfel, B Ilic, W W Webb, Harold Craighead. "Creating Biological Membrane on the Micron Scale: Forming Patterned Lipid Bilayers Using a Polymer Lift-Off Technique. Biophysical Journal Volume 85 3066-3073 (2003) Jun Kameoka. Reid Orth, Tim Wach, Harold Craighead. "An Electroscopy Source Integrated with Microfluidics." Analytical Chemistry. Volume 74 5897-5901 (2002) Jun Kameoka, Harold Craighead, Hongwei Zhang, Jack Henion. "A Polymeric Micrifluidic Chip for CE/MS Determination of Small Molecules", Analytical Chemistry. Volume 73 1935-1941 (2001) Google Scholar Profile : diff --git a/src/data/compiled_bios/2921.txt b/src/data/compiled_bios/2921.txt new file mode 100644 index 0000000000..89212f93e9 --- /dev/null +++ b/src/data/compiled_bios/2921.txt @@ -0,0 +1 @@ + Associate Professor Director of Undergraduate Programs Phone: 979-458-3555 FAX: 979-845-7161 Email: karsilay@tamu.edu Office: WEB 318C Google Scholar Profile Educational Background B.S. and M.S. degrees in Electrical Engineering from Bilkent University, Ankara, Turkey in 1993 and 1995 Ph.D. degree from Portland State University, Portland, Oregon, in 2000 Research Interests RF and Baseband Circuits, Signal Processing and Adaptive Systems Awards & Honors Outstanding Ph.D. Student Award from Portland State University Member of Tau Beta Pi Member of Eta Kappa Nu Member of IEEE Google Scholar Profile : diff --git a/src/data/compiled_bios/2922.txt b/src/data/compiled_bios/2922.txt new file mode 100644 index 0000000000..d7a324feab --- /dev/null +++ b/src/data/compiled_bios/2922.txt @@ -0,0 +1 @@ + Eugene E. Webb Professor Regents Professor Phone: 979-845-7509 FAX: 979-845-6259 Email: kezunov@ece.tamu.edu Office: WEB 323C Website: Personal Website Google Scholar Profile Educational Background University of Kansas Ph.D., Electrical Engineering, 1980 University of Kansas M.Sc., Electrical Engineering, 1977 University of Sarajevo Diploma of Engineering, Electrical Engineering, 1976 Research Interests Protective Relaying Power Systems Computational Intelligence Smart Grids Director, Smart Grid Center Teaching Courses ELEN 459 ELEN 666 ELEN 679 Awards & Honors Guest Professor in State Key Laboratory of Simulation of Power System and Generation Equipment, Tsinghua University, China, 2018-2021 Association of Former Students Distinguished Achievement Award for Research, Texas A&M University, 2018 Distinguished member, US National Committee, International Council on Large Electric Systems-CIGRE, 2018 Special Visiting Scholar, Science without Borders, National Council for Scientific and Technological Development (CNPq), Brazil, 2015-2017 IEEE PES Prize Paper Award, "Advancements in Centralized Protection and Control WIthin a Substation", The Institute of Electrical and Electronic Engineers, 2017 Eminent Scholar, Texas A&M University at Qatar, Qatar, 2015-2016 Regents Professor, Texas A&M University, 2016 Selected Publications M. Kezunovic "Energy & Distribution: What's Next in These Management Systems," IEEE Power and Energy Magazine, Vol. 16, No. 2, March/April 2018 M. Kezunovic and T.J. Overbye, "Off the Beaten Path: Resiliency and Associated Risk," IEEE Power and Energy Magazine, Vol. 16, No. 2, March/April 2018 T. Dokic, M. Kezunovic, Predictive Risk Management for Dynamic Tree Trimming Scheduling for Distribution Networks, IEEE Transactions on Smart Grid, Accepted for Publication, in Press, 2018. C. M. Affonso, and M. Kezunovic, Technical and Economic Impact of PV-BESS Charging Station on Transformer Life: A Case Study, IEEE Transactions on Smart Grid, Accepted for Publication, in Press, 2018. P. Dehghanian, Y. Guan, and M. Kezunovic, Real-Time Life-Cycle Assessment of High Voltage Circuit Breakers for Maintenance using Online Condition Monitoring Data, IEEE Transactions on Industry Applications, Accepted for Publication, in Press, 2018. P. Dehghanian, B. Zhang, T. Dokic and M. Kezunovic, Predictive Risk Analytics for Weather-Resilient Operation of Electric Power Systems, in IEEE Transactions on Sustainable Energy, 2018. C. Qian and M. Kezunovic, A Power Waveform Classification Method for Adaptive Synchrophasor Estimation, in IEEE Transactions on Instrumentation and Measurement, vol. 67, no. 7, pp.1646-1658, July 2018. Q. Yan, B. Zhang and M. Kezunovic, Optimized Operational Cost Reduction for an EV Charging Station Integrated with Battery Energy Storage and PV generation, in IEEE Transactions on Smart Grid, vol. PP, no. 99, pp. 1-1, January 2018. V. Malbasa, C. Zheng, P.-C. Chen, T. Popovic, and M. Kezunovic, Voltage Stability Prediction Using Active Machine Learning, IEEE Transactions on Smart Grid, vol. 8, no. 6, pp. 3117-3124, November 2017. B. Zhang, P. Dehghanian, and M. Kezunovic, Optimal Allocation of PV Generation and Battery Storage for Enhanced Resilience, IEEE Transactions on Smart Grid, vol. PP, no. 99, pp. 1-1, August 2017. Google Scholar Profile : diff --git a/src/data/compiled_bios/2923.txt b/src/data/compiled_bios/2923.txt new file mode 100644 index 0000000000..e707f6696c --- /dev/null +++ b/src/data/compiled_bios/2923.txt @@ -0,0 +1 @@ + Professor Phone: 979-845-8371 FAX: 979-845-2630 Email: sunilkhatri@tamu.edu Office: WEB 333F Website: Personal Website Google Scholar Profile Educational Background Ph.D. University of California, Berkeley, December 1999 M.S. University of Texas, Austin, May 1989 B.S. Indian Institute of Technology, Kanpur, India, May 1987 Research Interests Computer-aided design of Very Large Scale Integration (VLSI) ICs, including logic and physical design automation. VLSI design of digital and analog circuits Current topics of focus include: don't care computation test generation leakage power analysis and reduction techniques clock distribution asynchronous circuit design cross-talk analysis and avoidance in VLSI design datapath design automation VLSI design for Low Density Parity Check (LDPC) codes Dense Wavelength-division Multiplexed (DWDM) network Routing and Wavelength Assignment (RWA) techniques Selected Publications "Cross-talk Noise Immune VLSI Design using Regular Layout Fabrics". Committee: Professor R. K. Brayton (Co-chair), A. Sangiovanni-Vincentelli (Co-chair) and Professor Dorit Hochbaum, University of California, Berkeley. "The Design of the METRIC Memory Interface and Memory System". This involved the design of the memory interface of METRIC, a multi-threaded RISC Microprocessor. Committee: Professor M. Ray Mercer (chair) and Professor Donald Fussell, University of Texas at Austin. A DCVSL Delay Cell for Fast Low Power Frequency Synthesis Applications, Turker, Khatri, Sanchez-Sinencio. IEEE Transactions On Circuits and Systems I, vol 58 number 6, June 2011. pp 1225-1238. Computation using Noise-based Logic: Efficient String Verification over a Slow Communication Channel, Kish, Khatri, Horvath. European Journal of Physics B 79 (2011). pp 85-90. "Noise-based deterministic logic and computing: a brief survey", Kish, Khatri, Bezrukov, Peper, Gingl, Horvath. International Journal of Unconventional Computing 7, Feb 2011. pp 101-113. "Noise-based deterministic logic and computing: a brief survey", Kish, Khatri, Bezrukov, Peper, Gingl, Horvath. International Journal of Unconventional Computing 7, Feb 2011. pp 101-113. "Towards brain-inspired computing", Gingl, Khatri, Kish. Fluctuation and Noise Letters 9 (2010). pp 403412. "Instantaneous noise-based logic", Kish, Khatri, Peper. Fluctuation and Noise Letters 9 (2010). pp 323330. "Fault Table Computation on GPUs", Gulati, Khatri. Journal of Electronic Testing: Theory and Applications (JETTA). Vol 26, number 2, April 2010. pp 195-209. "Selective Forward Body Bias for High Speed and Low Power SRAMs", Bollapalli, Garg, Gulati, Khatri. Accepted for publication at the Journal of Low Power Electronics (JOLPE), Vol. 5, No. 2, August 2009. Google Scholar Profile : diff --git a/src/data/compiled_bios/2924.txt b/src/data/compiled_bios/2924.txt new file mode 100644 index 0000000000..d784704166 --- /dev/null +++ b/src/data/compiled_bios/2924.txt @@ -0,0 +1 @@ + Professor Phone: 979-847-9071 FAX: 979-845-6259 Email: laszlokish@tamu.edu Office: WEB 235E Website: Research and Personal Website Google Scholar Profile Educational Background Doctor of Science (Physics), Hungarian Academy of Science, 2001 Docent in Solid State Physics (Habilitation), Uppsala University, Sweden 1994 Doctoral Degree in Solid State Physics, University of Szeged, Hungary 1984 Physicist Diploma (MS Degree), University of Szeged, Hungary, 1980 Research Interests Unconditional (Information-Theoretic) Security over the Wire Noise-Based Logic and Computing Myth-Busting in Physical Informatics Thermal Noise at Zero Temperature Fluctuation-Enhanced Sensing Prompt Bacterial Identification: SEnsing of Phage-Triggered Ion Cascades (SEPTIC) Thermal Noise Engines and Demons Heat-Speed-Error in Computation: Moore's Law Vibration-Induced Conductance Fluctuation (VICOF) Analysis of Soils Awards & Honors Medal of Merit, Gdansk University of Technology, Gdansk, Poland (2017) Distinguished Guest Professor, Hunan University, Changsha, China (2015-2018) Honorary Professor, Hunan University, Changsha, China (2013-2016) Honorary Doctor (Honoris Causa), in Science and Informatics, University of Szeged, Hungary, November 10, 2012 Honorary Doctor (Honoris Causa) in Science and Technology, Uppsala University, Sweden, January 28, 2011 Recipient of the year 2001 Benzelius Prize of the Royal Society of Science of Sweden for his activities on chemical sensing Google Scholar Profile : diff --git a/src/data/compiled_bios/2925.txt b/src/data/compiled_bios/2925.txt new file mode 100644 index 0000000000..94aff56510 --- /dev/null +++ b/src/data/compiled_bios/2925.txt @@ -0,0 +1 @@ + Regents Professor Distinguished Professor College of Engineering Chair in Computer Engineering Member, National Academy of Engineering Phone: 979-862-3376 Email: prk@tamu.edu Office: WEB 331E Website: Personal Website Google Scholar Profile Educational Background D.Sc. in Systems Science and Mathematics from Washington University, St. Louis, in 1977 M.S. in Systems Science and Mathematics from Washington University, St. Louis, in 1975 B. Tech. degree in Electrical Engineering (Electronics) from I.I.T. Madras in 1973 Research Interests Renewable energy and power systems Unmanned air vehicle transportation management system Cybersecurity Wireless networks and 5G Cyberphysical systems Autonomous transportation Machine learning Awards & Honors Outstanding Contribution Award of ACM SIGMOBILE Infocom Achievement Award ACM SIGMOBILE Test-of-Time Paper Award ACM Fellow Distinguished Alumnus Award from IIT Madras Selected Publications Bharadwaj Satchidanandan and P. R. Kumar, Dynamic Watermarking: Active Defense of Networked Cyber-Physical Systems. Proceedings of the IEEE, vol. 105, No. 2, pp. 219-240, February 2017. Jonathan Ponniah, Yih-Chun Hu and P. R. Kumar, A System-Theoretic Clean Slate Approach to Provably Secure Ad Hoc Wireless Networking. IEEE Transactions on Control of Network Systems, vol. 3, no. 2, pp. 206 - 217, June 2016. Woo-Hyun Ko, Bharadwaj Satchidanandan and P. R. Kumar, Theory and Implementation of Dynamic Watermarking for Cybersecurity of Advanced Transportation Systems. International Workshop on Cyber-Physical Systems Security (CPS-Sec), pp. 235-239, Philadelphia, October 17-19, 2016. Wireless networks Rahul Singh and P. R. Kumar, Throughput Optimal Decentralized Scheduling of Multi-Hop Networks with End-to-End Deadline Constraints: Unreliable Links. Preprint, June 5, 2016. Simon Yau, Liang Ge, Ping-Chun Hsieh, I-Hong Hou, Shuguang Cui, P. R. Kumar, Amal Ekbal, and Nikhil Kundargi, WiMAC: Rapid Implementation Platform for User Definable MAC Protocols Through Separation. Proceedings of the 2015 ACM Conference on Special Interest Group on Data Communication (SIGCOMM 15), pp. 109-110, 2015. Google Scholar Profile : diff --git a/src/data/compiled_bios/2926.txt b/src/data/compiled_bios/2926.txt new file mode 100644 index 0000000000..15c2818746 --- /dev/null +++ b/src/data/compiled_bios/2926.txt @@ -0,0 +1 @@ + Professor, Chemical Engineering Phone: 979-845-9807 FAX: 979-458-8836 Email: yuekuo@tamu.edu Office: CHEN 235 Google Scholar Profile Educational Background B.S. (1974) National Taiwan University, Taipei, Taiwan M.S. (1978) Columbia University, NYC Eng.Sc.D. (1979) Columbia University, NYC Research Interests 2-Mask, Self-aligned, Tri-layer TFT Graded Gate Dielectric TFT Vertically Redundant TFT Horizontally Redundant TFT Thin Film Transistors (TFTs) Nanocrystals Embedded Nonvolatile Memories Floating-gate a-Si:H TFT Nonvolatile Memories Light Emitting Devices Thin Film Solar Cells Biochips Applications in VLSI, LCD, Sensor Awards & Honors ECS Electronics and Photonics Division Award 2007 IEEE Fellow Distinguished Achievement in Research Award, TAMU Association of Former Students 2012 Selected Publications C.-C. Lin and Y. Kuo, Temperature Effects on Nanocrystalline Molybdenum Oxide Embedded ZrHfO High-k Nonvolatile Memory Functions, ECS J. Solid State Sci. Technol., 2(1) Q16-Q22 (2013). Y. Kuo and C.-C. Lin*, Crystallization of a-Si Thin Film Using an Ultra Thin n+ Poly-Si Seed Layer for Solar Cell Applications, IEEE 38th Photovoltaic Specialist Conf. PVSC, 000342-000345 (2012). X. Liu, C.-H. Yang, Y. Kuo, and T. Yuan, Memory Functions of Molybdenum Oxide Embedded ZrHfO High-k, Electrochem. Solid-State Letters, 15 (6) H1-H3 (2012). C.-C. Lin and Y. Kuo, Plasma etching of copper thin film over a dielectric step and electromigration failure mechanism, 2012 MRS Proc. Symp. C: Interconnect Challenges for CMOS Technology, 1428, mrss12-1428-c05-03 (2012). Doi:10.1557/opl.2012.1313. S.-H. Wu, Y. Kuo, and C.-C. Lin, Light wavelength effects on the performance of a-Si:H PIN photodiode, 2112 MRS Proc. Symp. A: Amorphous and Polycrystalline Thin-Film Silicon Science and Technology, 1426, 199-204 (2012). Y. Kuo and C.-C. Lin, Polycrystalline Silicon Thin Films Formed by Multiple Pulsed Rapid Thermal Annealing, MRS Proc. Symp. A: Amorphous and Polycrystalline Thin-Film Silicon Science and Technology, 1426, 269-274 (2012). Y. Kuo, X. Liu*, C.-H. Yang*, and C.-C. Lin*, Nonvolatile Memory Characteristics of Molybdenum Oxide Embedded High-k Film - Performance and Light Wavelength Effects, 2112 MRS Proc. Symp. E: Materials And Physics of Emerging Nonvolatile Memories, 1430, 21-27 (2012). C.-C. Lin and Y. Kuo, Step effect on Cl2 plasma-based copper etch process, J. Vac. Sci. Technol. B, 30(2) 021204-1 (2012). C.-C. Lin and Y. Kuo, Failure mechanism of electromigration of copper interconnections deposited on topographic steps with a plasma-based etch process, J. Appl. Phys., 111, 064909 (2012). This paper was selected as a Research Hights & News from J. Appl. Phys. April 19, 2012. A. Birge and Y. Kuo, Memory Functions of Nanocrystalline ITO Embedded Zirconium-Doped Hafnium Oxide High-k Capacitor with ITO Gate, J. Electrochem. Soc., 159(6) H595-H598 (2012). Google Scholar Profile : diff --git a/src/data/compiled_bios/2927.txt b/src/data/compiled_bios/2927.txt new file mode 100644 index 0000000000..eb7ce17f0c --- /dev/null +++ b/src/data/compiled_bios/2927.txt @@ -0,0 +1 @@ + Professor Joint Faculty in: Electrical and Computer Engineering , Computer Engineering Phone: 979-845-1612 FAX: 979-845-2630 Email: pli@tamu.edu Office: WEB 334J Website: Research Website Google Scholar Profile Educational Background Ph.D., Electrical and Computer Engineering from Carnegie Mellon University, Pittsburgh, PA, in 2003 M. Eng., Systems Engineering from Xian Jiaotong University, Xian, China, in 1997 B. Eng., Information Engineering from Xian Jiaotong University, Xian, China, in 1994 Research Interests Integrated circuits Computer-aided design Aspects of parallel computing Intersections between computational neuroscience and circuits & systems Awards & Honors IEEE Fellow William and Montine P. Head Fellow, College of Engineering, Texas A&M University, 2013-2014 Best Paper Hat Trick Award, (for receiving the DAC best paper award three times), 50th IEEE/ACM Design Automation Conference (DAC), 2013 DAC Prolific Author Award, 50th IEEE/ACM Design Automation Conference (DAC), 2013 DAC Top 10 Author in Fifth Decade, 50th IEEE/ACM Design Automation Conference (DAC), 2013 TEES Fellow Award, College of Engineering, Texas A&M University, 2011-2012 IEEE/ACM William J. McCalla ICCAD Best Paper Award, IEEE/ACM Int. Conf. on CAD, 2012 Best Paper Award, 48th IEEE/ACM Design Automation Conference, 2011 Best in Session Award, SRC Techcon Conference, 2009 2008 ECE Outstanding Professor Award, Texas A&M University 2008 DAC Best Paper Award, 45th IEEE/ACM Design Automation Conference, 2008 (news coverage: Business Wire) National Science Foundation (NSF) Career Award, 2008 Inventor Recognition Award, Microelectronics Advanced Research Corporation (MARCO), 2007 Inventor Recognition Award, Microelectronics Advanced Research Corporation (MARCO), 2006 Inventor Recognition Award, Semiconductor Research Corporation (SRC), 2004 2003 DAC Best Paper Award, IEEE/ACM Design Automation Conference, 2003 Inventor Recognition Award, Semiconductor Research Corporation (SRC), 2001 Several Best Paper Award Nominations from IEEE/ACM Int. Conf. on CAD (ICCAD) Selected Publications [NeuroImage'12] *Boyuan Yan and Peng Li, The emergence of abnormal hypersynchronization in the anatomical structural network of human brain, NeuroImage 2012 (impact factor: 6.608). [ICCAD'12] *Suming Lai, *Boyuan Yan and Peng Li, Stability assurance and design optimization of large power delivery networks with multiple on-chip voltage regulators, IEEE/ACM Conf. on Computer-Aided Design, pp. 247-254, November 2012 (acceptance rate: 24.3%, 82/338) (IEEE/ACM William J. McCalla ICCAD Best Paper Award, one out of 338 submissions). [ICCAD'12] Peng Li, Design analysis of IC power delivery, IEEE/ACM Conf. on Computer-Aided Design (invited paper), pp. 664-666, November 2012. [ICCAD'12] *Leyi Yin, *Yue Deng and Peng Li, Verifying dynamic properties of nonlinear mixed-signal circuits via efficient SMT-based techniques, IEEE/ACM Conf. on Computer-Aided Design, pp. 436-442, November 2012 (acceptance rate: 24.3%, 82/338). [ICCAD'12] *Honghuang Lin and Peng Li, Classifying circuit Performance using active-learning guided support vector machines, IEEE/ACM Conf. on Computer-Aided Design, pp. 187-194, November 2012 (acceptance rate: 24.3%, 82/338). [NeuroComp12] *Yong Zhang, *Boyuan Yan, *Mingchao Wang, *Jingzhen Hu, *Haokai Lu and Peng Li, Linking brain behavior to underlying cellular mechanisms via large-scale brain modeling and simulation, Neurocomputing, volume 97, 15 November 2012, pages 317-331. [VLSI-SoC'12] Bin Wu and Peng Li, Load-aware stochastic feedback control for DVFS with tight performance guarantee, IFIP/IEEE International Conference on Very Large Scale Integration, October 2012. [SOCC'12] *Yongtae Kim, *Yong Zhang and Peng Li, A digital neuromorphic VLSI architecture with memristor crossbar synaptic array of machine learning, IEEE Int. System-on-Chip Conf., September 2012. [TCAD'12] *Parijat Mukherjee, G. Peter Fang, Rod Burt, and Peng Li, Efficient identification of unstable loops in large linear analog integrated circuits, in IEEE Trans. on Computer-Aided Design of Integrated Circuits and Systems, vol. 31, issue 9, pp. 1332-1345, September 2012. [FTEDA11] Peng Li, Parallel Circuit Simulation: A Historical Perspective and Recent Developments, Foundations and Trends in Electronic Design Automation: vol. 5: no. 4, pp 211-318, 2011 (invited) [or find paper here]. Google Scholar Profile : diff --git a/src/data/compiled_bios/2928.txt b/src/data/compiled_bios/2928.txt new file mode 100644 index 0000000000..d5a934f6fc --- /dev/null +++ b/src/data/compiled_bios/2928.txt @@ -0,0 +1 @@ + Assistant Professor Phone: 979-458-8223 FAX: 979-845-6259 Email: paolin@ece.tamu.edu Office: WEB 214F Website: Research Webpage Google Scholar Profile Educational Background Ph.D., Materials Science and Engineering, Northwestern University Research Interests Mid-Infrared integrated Photonics Biomedical sensors-on-a-chip Multiscale fabrication technologies Reconfigurable materials Nanophotonics & metamaterials Awards & Honors IEEE Nano Conference - Best Paper Finalist Award, 2014 MIT-SUTD Postdoctoral fellowship, 2013-2015 User Award talk for Argonne National Laboratory Annual Users Meeting, 2008 Selected Publications T. Jin, L. Li, B. Zhang, H.-Y. G. Lin, H. Wang, P. T. Lin, "Monolithic Mid-Infrared Integrated Photonics Using Silicon-on-Epitaxial Barium Titanate Thin Films," ACS Appl. Mater. Interfaces. 9, 21848-21855, 2017 S. Novak, P. T. Lin, C. Li, C. Lumdee, J. Hu, A. M. Agarwal, P. G. Kik, W. Deng, K. Richardson, "Direct Electrospray Printing of Gradient Refractive Index Chalcogenide Glass Films," ACS Appl. Mater. Interfaces. 9, 2699026995, 2017 P. T. Lin, H. Y. G. Lin, Z. Han, T. Jin, R. Millender, L. C. Kimerling, A. Agarwal, Label-Free Glucose Sensing Using Chip-Scale Mid-Infrared Integrated Photonics, Adv. Opt. Mater. doi: 10.1002/adom.201600440, 2016 P. T. Lin, J. Giammarco, N. Borodinov, M. Savchak, V. Singh, L. C. Kimerling, D. T. H. Tan, K. A. Richardson, I. Luzinov, and A. Agarwal, Label-Free Water Sensors Using Hybrid PolymerDielectric Mid-Infrared Optical Waveguides, ACS Appl. Mater. Interfaces. 7, 1118911194, 2015 P. T. Lin, S. W. Kwok, H.-Y. G. Lin, V. Singh, L. C. Kimerling, G. M. Whitesides, A. Agarwal, "Mid-Infrared Spectrometer Using Opto-nanofluidic Slot-Waveguide for Label-free On-Chip Chemical Sensing," Nano Lett. 14, 231-238, 2014. Google Scholar Profile : diff --git a/src/data/compiled_bios/2929.txt b/src/data/compiled_bios/2929.txt new file mode 100644 index 0000000000..fe892114ca --- /dev/null +++ b/src/data/compiled_bios/2929.txt @@ -0,0 +1 @@ + Adjunct Professor Email: frankliu@tamu.edu Research Interests VLSI: VLSI variability modeling, design-for-manufacturability, circuit simulation Semiconductor Manufacturing: numerical inverse lithography Cyber-physical System: large-scale fully dynamic simulation, adjoint sensitivity of large-scale dynamic systems Bio-informatics: quality-aware alignment, genomics data compression Machine Learning: graphic models, deep learning Awards & Honors Fellow, IEEE, class of 2017 IEEE Trans. Computer-Aided Design Donald O. Peterson Best Paper Award, 2013 IBM Research Division Outstanding Research Accomplishment Award, 2012, 2013 Selected Publications B. Hodges and F. Liu, Rivers and electric networks: crossing disciplines in modeling and simulation, Now Publishers Inc, ISBN 978-1601987723, 2014 Y. Liu, L.T. Pileggi and A.J. Strojwas, Model-order reduction of RC(L) interconnect including variational analysis, Proc. DAC, 1999 H. Su, F. Liu, A. Devgan, E. Acar and S. Nassif, Full chip leakage estimation considering power supply and temperature, Proc. ISLPED, 2003 F. Liu, A general framework for spatial correlation modeling in VLSI design, Proc. DAC, 2007 W. Wang, S. Yang, S. Bhardwaj, S. Vrudhula, F. Liu and Y. Cao, The impact of NBTI effect on combinational circuit: modeling, simulation and analysis, IEEE Trans. VLSI, 2010 : diff --git a/src/data/compiled_bios/293.txt b/src/data/compiled_bios/293.txt new file mode 100644 index 0000000000..667a7cc9c1 --- /dev/null +++ b/src/data/compiled_bios/293.txt @@ -0,0 +1 @@ + Blank Sandra Hedetniemi Professor School of Computing 203 McAdams Hall 864-656-5869 Recent Teaching: CpSc 840: Design and Analysis of Algorithms CpSc 111: Elementary Computer Programming in C CpSc 215: Software Development Foundations I pursue graph theory algorithms in my research. I especially like determining for which classes of graphs polynomial algorithms exist. I have a passion for mathematical patterns. diff --git a/src/data/compiled_bios/2930.txt b/src/data/compiled_bios/2930.txt new file mode 100644 index 0000000000..6d58a3d914 --- /dev/null +++ b/src/data/compiled_bios/2930.txt @@ -0,0 +1 @@ + Professor Phone: 979-862-2392 Email: tieliu@tamu.edu Office: WEB 301FA Google Scholar Profile Educational Background Ph.D. University of Illinois-Urbana-Champaign, 2006 M.S. University of Illinois-Urbana-Urbana-Champaign, 2004 M.S. Tsinghua University, 2000 B.S. Tsinghua University, 1998 Research Interests Information theory Statistical information processing Machine learning Awards & Honors NSF CAREER Award (2009) Selected Publications Chung Chan, Ali Al-Bashabsheh, Tarik Kaced, Qiaoqiao Zhou, and Tie Liu, "Info-clustering: A mathematical theory for data clustering," IEEE Transactions on Molecular, Biological, and Multi-Scale Communications, vol. 2, no. 1, pp. 64-91, June 2016. Chung Chan, Ali Al-Bashabsheh, Javad Ebrahimid, Tarik Kaced, and Tie Liu, "Multivariate mutual information inspired by secret key agreement," Proceedings of the IEEE, vol. 103, no. 10, pp. 1883-1913, October 2015. Amir Salimi, Tie Liu, and Shuguang Cui, "Generalized cut-set bounds for broadcast networks," IEEE Transactions on Information Theory, vol. 61, no. 6, pp. 2983-2996, June 2015. Tie Liu and Pramod Viswanath, "An extremal inequality motivated by multiterminal information-theoretic problems," IEEE Transactions on Information Theory, vol. 53, no. 5, pp. 1839-1851, May 2007. Tie Liu and Shlomo Shamai (Shitz), "A note on the secrecy capacity of the multiple-antenna wiretap channel," IEEE Transactions on Information Theory, vol. 55, no. 6, pp. 2547-2553, June 2009. Google Scholar Profile : diff --git a/src/data/compiled_bios/2931.txt b/src/data/compiled_bios/2931.txt new file mode 100644 index 0000000000..b1aa4c85e2 --- /dev/null +++ b/src/data/compiled_bios/2931.txt @@ -0,0 +1 @@ + Professor Phone: 979-845-3749 FAX: 979-845-2630 Email: mlu@ece.tamu.edu Office: WEB 332E Website: Research Website Google Scholar Profile Educational Background Ph.D. in Electrical Engineering from Rice University in 1987 M.S. in Electrical Engineering from Rice University in 1984 Research Interests Parallel Computing Distributed Processing Computer Architectures Computer Networks Computer Arithmetic Computational Geometry VLSI Algorithms Awards & Honors Recognition in Who's Who in the World Recognition in Who's Who in America Recognition in Who's Who of American Women Recognition in Who's Who in Science & Engineering Recognition in Who's Who in American Education Faculty Fellow, Dwight Look College of Engineering, Texas A&M University, Eugene E. Webb43 Fellow, 2002-2003 Selected Publications Co-editor, Application of Electronic Technology, Peoples Press. M. Lu, Arithmetic and Logic in Computer Systems, John Wiley & Son. M. Lu, X. Qiao and G. Chen, A parallel square-root algorithm for the modified extended Kalman filter, IEEE Transactions on Aerospace and Electronics Systems, Vol. 28, No. 1, Jan. 1992, pp. 153-163. J. Fang and M. Lu, An iteration partition approach for cache ping-pong problem on parallel processing, Lecture Notes in Computer Science, Vol. 589, pp. 313-327. M. Lu, X. Qiao and G. Chen, Parallel computation of the Modified Extended Kalman Filter, International Journal of Computer Mathematics, Vol. 45, 1992, pp. 69-87. M. Lu and J. S. Chiang, A novel division algorithm for Residue Number Systems, IEEE Transactions on Computers, Vol. 41, No. 8, Aug. 1992, pp. 1026-1032. M. Lu and J. Fang, A solution of cache ping-pong problem in multiprocessor systems, Journal of Parallel and Distributed Computing, Vol. 16, No. 2, Oct. 1992, pp. 158-171. M. Lu, H. Lin and J. Abello, An efficient parallel algorithm for the longest common subsequence, Advances in Parallel Computing, Vol. 4, 1992, pp. 123-130. M. Lu and X. Qiao, Applying parallel computer systems to solve symmetric tridiagonal eigenvalue problems, Parallel Computing, Vol. 18, 1992, pp. 1301-1315. F. Lombardi, H. Lin and M. Lu, On the optimal reconfiguration of multipipeline arrays in the presence of faulty processing and switching elements, IEEE Transactions on VLSI Systems, Vol. 1, No. 1, March 1993, pp. 76-79. Google Scholar Profile : diff --git a/src/data/compiled_bios/2932.txt b/src/data/compiled_bios/2932.txt new file mode 100644 index 0000000000..0e3d277844 --- /dev/null +++ b/src/data/compiled_bios/2932.txt @@ -0,0 +1 @@ + Associate Professor of Practice Phone: 979-862-5892 Email: john.lusher@tamu.edu Office: WEB 244B Educational Background B.S., Electrical Engineering, Texas A&M University, 1997 Ph.D., Electrical Engineering, Texas A&M University, 2018 Research Interests High performance computing Image processing and imaging systems Embedded systems development Awards & Honors Professional Engineer (State of Texas) License #106149 IEEE Senior Member IEEE Honor Society SAS Advanced Programming Certification : diff --git a/src/data/compiled_bios/2933.txt b/src/data/compiled_bios/2933.txt new file mode 100644 index 0000000000..e0b90ce8ff --- /dev/null +++ b/src/data/compiled_bios/2933.txt @@ -0,0 +1 @@ + Professor Phone: 979-845-4935 FAX: 979-845-5398 Email: cmadsen@tamu.edu Office: JEB 728 Google Scholar Profile Educational Background Ph.D., Rutgers University New Brunswick, NJ,1996 M.S., Stanford University, Stanford, CA, 1987 B.S., University of Texas, Austin, TX, 1986 Research Interests Photonic Signal Processing Integrated Optics Optical filters (synthesis, analysis and adaptive filters) Microwave Photonics Polarization Optics Optical Ring Resonators Dispersion and High speed optical signals Awards & Honors Distinguished Lecturer for the IEEE LEOS 2004-2005 Fellow of the Optical Society of America Distinguished Member of Technical Staff at Bell Laboratories Texas A&M Engineering Faculty Fellow 2007 Google Scholar Profile : diff --git a/src/data/compiled_bios/2934.txt b/src/data/compiled_bios/2934.txt new file mode 100644 index 0000000000..5f1e697522 --- /dev/null +++ b/src/data/compiled_bios/2934.txt @@ -0,0 +1 @@ + Associate Professor Phone: 979-845-5203 FAX: 979-845-6259 Email: k-michalski@tamu.edu Office: WEB 205H Google Scholar Profile Educational Background Ph.D., Electrical Engineering, University of Kentucky, Lexington, Kentucky, USA, 1981 MS., Electrical Engineering, Wroclaw University of Technology, Wroclaw, Poland, 1974. Research Interests Electromagnetic field theory Computational Electromagnetics Green's function-integral equation methods Microstrip antennas and circuits Fields in layered media Application of Genetic Algorithms in Electromagnetics Array antenna design Microwave Inverse Problems Electromagnetic Compatibility Electromagnetics of VLSI circuit interconnects Electromagnetics of EUVL lithography Awards & Honors IEEE Fellow, 2001 TEES Research Fellow, College of Engineering, Texas A&M University, 1991 The Oliver Lodge Premium, Institution of Electrical Engineers, London, 1986 Best EMP Paper Award, SUMMA Foundation, 1984 Associate Editor, IEEE Transactions on Antennas and Propagation, 1999-present Editorial Board Member, Microwave & Optical Technology Letters, 1987-present Technical Program Committee Chair, 2002 IEEE AP-S International Symposium on Antennas and Propagation Associate Editor, Radio Science, 1993-1996 Guest Editor, International Journal of Microwave and Millimeter-Wave Computer-Aided Engineering, 1996 Google Scholar Profile : diff --git a/src/data/compiled_bios/2935.txt b/src/data/compiled_bios/2935.txt new file mode 100644 index 0000000000..2aeacfe16c --- /dev/null +++ b/src/data/compiled_bios/2935.txt @@ -0,0 +1 @@ + Debbie and Dennis Segers '75 Professor Co-Director of Graduate Programs Phone: 979-862-8744 FAX: 979-845-6259 Email: smiller@tamu.edu Office: WEB 310B Website: Personal Website Google Scholar Profile Educational Background B.S. in Electrical Engineering, University of California, San Diego, June 1985. M.S. in Electrical Engineering (Communication Theory and Systems), University of California, San Diego, June 1986. Ph.D. in Electrical Engineering, (Communication Theory and Systems), University of California, San Diego, July 1988. Awards & Honors IEEE Fellow Google Scholar Profile : diff --git a/src/data/compiled_bios/2936.txt b/src/data/compiled_bios/2936.txt new file mode 100644 index 0000000000..a293a7f683 --- /dev/null +++ b/src/data/compiled_bios/2936.txt @@ -0,0 +1 @@ + Professor of Practice Phone: 979-458-7819 Email: omoreira@tamu.edu Office: WEB 244F Google Scholar Profile Educational Background M.S., California State University, 1992 Ph.D., Texas A&M University, 1996 Research Interests Analog Circuit Design Power Management Analog to Digital Conversion Digital Signal Processing Google Scholar Profile : diff --git a/src/data/compiled_bios/2937.txt b/src/data/compiled_bios/2937.txt new file mode 100644 index 0000000000..b15ab0c0a3 --- /dev/null +++ b/src/data/compiled_bios/2937.txt @@ -0,0 +1 @@ + Eric D. Rubin 06 Professor Phone: 979-862-2691 FAX: 979-862-4630 Email: krn@tamu.edu Office: WEB 334K Website: Personal Website Google Scholar Profile Educational Background Ph.D. in Electrical Engineering, Dec 1998 Georgia Institute of Technology, Atlanta, GA M.S. in Electrical Engineering, Aug 1994 Iowa State University, Ames, IA B.S. in Electrical Engineering, May 1992 Coimbatore Institute of Technology, India Ranked First out of 47 Students Research Interests Probabilistic graphical models and inference Massive multiple access and the Internet of Things Signal processing algorithms for big data Coding theory and its applications to wireless communications, optical communications and data storage Information theory Awards & Honors Eric D. Rubin '06 Professorship in Electrical and Computer Engineering Elected Fellow of IEEE for contributions to coding and modulation for wireless communications and data storage Professional progress in engineering in 2015 - distinguished alumni award from Iowa State University Recipient of the Association of Former Students college-level teaching award, Texas A&M University, 2012 Recipient of the 2007 Best Paper Award from the IEEE Signal Processing for Data Storage society Selected Publications N.T. Janakiraman, A. Vem, K.R. Narayanan and J.-F. Chamberland, Sub-string/pattern matching in sub-linear time using a sparse Fourier transform approach, arXiv preprint arXiv:1704.07852 K. R. Narayanan and H.D. Pfister, Iterative Collision Resolution for Slotted ALOHA: An Optimal Uncoordinated Transmission Policy, in Proceedings of the International Symposium on Turbo Codes and Related Topics, August 2012 M. P. Wilson, K.R. Narayanan, H. D. Pfister and A. Sprintson, Joint Physical Layer and Network Coding for Bi-Directional Relaying, IEEE Transactions on Information Theory, pp. 5641-5654, Vol. 56, No. 11, November 2010 J. Jiang and K. R. Narayanan, Iterative Soft Input Soft Output Decoding of Reed-Solomon Codes, IEEE Transactions on Information Theory, pp. 3746-3756, Vol. 52, No.8, August 2006 K. Bhattad and K.R. Narayanan, Weakly Secure Network Coding, Netcod, 2005 Google Scholar Profile : diff --git a/src/data/compiled_bios/2938.txt b/src/data/compiled_bios/2938.txt new file mode 100644 index 0000000000..b5abd28940 --- /dev/null +++ b/src/data/compiled_bios/2938.txt @@ -0,0 +1 @@ + Professor Phone: 979-845-7591 FAX: 979-845-6259 Email: r-nevels@tamu.edu Office: WEB 205K Educational Background Ph.D., EE, University of Mississippi, Oxford, Mississippi M.S., EE, Georgia Institute of Technology, Atlanta, Georgia B.S., EE, University of Kentucky, Lexington, Kentucky Research Interests Analytical and Numerical Electromagnetics Nanophotonics Electromagnetic Scattering Antennas Awards & Honors IEEE AP-S President-elect 2009, President 2010 IEEE Fellow Eugene E.Webb'43 Faculty Fellow IEEE-APS Administrative Committee (ADCOM)-elected 1998-2001 and 2011-2014 The IEEE Region 5 Outstanding Educator Award The Clear Lake Council of Technical Societies Technical Educator of the Year The Clear Lake IEEE Technical Educator Award Outstanding Professor Award from IEEE Texas A&M Student Chapter, awarded twice Texas A&M Former Students Distinguished Teaching Award, University Level Texas A&M Former Students Distinguished Teaching Award, College Level awarded twice The Amoco Foundation Award for Distinguished Teaching The Electromagnetics Academy (Fellow) Selected Publications J. Shin and R. Nevels, "Propagator Methods in Electromagnetics," Chapter in Applied Electromagnetics, A. Lakhtakia and C. Furse, eds., Springer Verlog, 2017. R. Nevels and Hasan Tahir Abbas, Nano Optical Antennas, Chapter in Handbook of Antenna Technology, Chen Zhi Ning ed., Springer Verlog, 2015. R. Nevels and K. Michalski, The Coulomb Gauge in Electromagnetics, Chapter in Encyclopedia of Microwave and RF Engineering, Vol. 1, Ed: Kai Chang, John Wiley & Sons, pp 849-863, 2005. A.M. Zheltikov and R.D. Nevels, Intensity and wavelength scaling of laser-driven electron transition radiation: toward a table-top source of electromagnetic pulses, submitted: Sept. 2018 H.T. Abbas, X. Zeng, R.D. Nevels, and M. S. Zubairy, "Deep subwavelength imaging via tunable terahertz plasmons" Applied Physics Letters, 113, 051106 (2018); doi: 10.1063/1.5035312. Jongchul Shin and Robert Nevels, A Time Domain Propagator Numerical Method for Computational Electromagnetics, IEEE Journal on Multiscale and Multiphysics Computational Techniques, Vol. 3, 10.1109/JMMCT.2018.2850774, pp. 80-87 Dec. 2018 Yuhan Zhou, Robert Nevels, Weiping Shi, Capacitance Extraction with Provably Good Absorbing Boundary Conditions, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, pp 1-8, Jan 2018. Hasan Tahir Abbas and Robert Nevels, Plasma based Integrated On-chip Antenna, Transactions of IEEE AP-S and URSI International Conference on Antennas and Propagation, Puerto Rico, July 2016. R.D. Nevels and K.A. Michalski, On the Behavior of Surface Plasmons at a Metallo-Dielectric Interface, Journal of Lightwave Technology, IEEE and Opt. Soc. America, vol. 32 no. 19, pp. 3299-3305, 2014. R. Nevels, G. R. Welch, P. S. Cremer, P. Hemmer, T. Phillips, S. Scully, A.V. Sokolov, A.A. Svidzinsky, H. Xia, A. Zheltikov and M.O. Scully, Configuration and Detection of Single Molecules, Molecular Physics, vol. 110, issue 15-16, pp.1993-2000, 2012. R. D. Nevels and J. Jeong, Time Domain Coupled Field Dyadic Green Function Solution for Maxwell's Equations, IEEE Trans. Antennas and Propagat., Vol. 56 no. 8 pp. 2761-2764, Aug. 2008. R. Nevels, J. Jeong, and P. Hemmer, Microwave Simulation of Grovers Quantum Search Algorithm, IEEE Trans. Antennas Propagat. Mag., vol. 48, No. 5, pp. 38-47, Oct. 2006. R.D. Nevels and J. Jeong, The Complete Free Space Greens Function and Propagator for Maxwells Equations, IEEE Trans. Antennas Propagat., Vol. 52, No. 11, pp.3012-3018, Nov. 2004. R.D. Nevels and C-S Shin, Lorenz, Lorentz and the Gauge, IEEE Antennas and Propagation Magazine, vol. 43, No. 3, pp. 70-72, June 2001. R.D. Nevels, D. Arndt, G. Raffoul, J. Carl and A. Pacifico, Microwave Catheter Design, IEEE Trans. Biomedical Engr., vol. 45, No. 7, pp. 885-890, July 1998. R.D. Nevels, J.C. Goswami, and H. Tehrani, Semi-Orthogonal Versus Orthogonal Wavelet Basis Sets for Solving Integral Equations, IEEE Trans. Antennas Propagation, vol. 45, no. 9, pp.1332-1339, Sept. 1997. A.V. Mamishev, R.D. Nevels and B.D. Russell, "Effects of Conductor Sag on Spatial Distribution of Power Line Magnetic Fields," IEEE Transactions on Power Delivery, vol.11, no.3, pp.1571-1576, July 1996. R.D. Nevels, C. Huang and Z. Wu, "The Fourier Transform Path Integral MethodA Numerical Technique for Scalar Scattering in Inhomogeneous Regions," IEE Proc., Part H, pp. 488-494, Dec. 1993. K.A. Michalski and R.D. Nevels, "On the Use of the Coulomb Gauge in Solving Source-Excited Boundary Value Problems in Electromagnetics," IEEE Trans. Microwave Theory Tech., vol. 36, No. 9, pp. 1328-33, September 1988. : diff --git a/src/data/compiled_bios/2939.txt b/src/data/compiled_bios/2939.txt new file mode 100644 index 0000000000..7866bd5502 --- /dev/null +++ b/src/data/compiled_bios/2939.txt @@ -0,0 +1 @@ + TI Professor II in Analog Engineering Phone: 979-845-7469 FAX: 979-845-6259 Email: cnguyen@tamu.edu Office: WEB 212E Google Scholar Profile Educational Background Ph.D., Electrical Engineering, University of Central Florida, 1987-1990 M.S., Electrical Engineering, California State University, Northridge, 1981-1983 B.S., Electrical Engineering, California State Polytechnic University, 1977-1980 Research Interests RF, Microwave and Millimeter-Wave Integrated Circuits, Antennas, and Communication, Radar and Sensing Systems CMOS/BiCMOS RFICs Ultra-Wideband (UWB) Integrated Circuits, Antennas, and Communication, Radar and Sensor Systems RF, Electromagnetics Interconnects, Interferences and Wave Propagation Wireless Communications Sensors and Sensor Networks Awards & Honors Texas A&M Universitys TEES Fellow Award Texas A&M Universitys 3 M Faculty Fellow IEEE Fellow (for Contributions to Microwave Integrated Circuits and Systems) Selected Publications S.T. Kim and C. Nguyen, "A Displacemnet Measurement Technique Using Millimeter-Wave Interferometry," IEEE Trans. on Microwave Theory and Techniques, Vol. MTT-51, No. 6, June 2003, pp. 1724-1728. J.W. Han and C. Nguyen, "Development of New Electronically Tunable Ultra-Wideband Pulse Generators,"IEEE Microwave and Wireless Components Letters, Vol. 14, No. 3, Mar. 2004, pp. pp. 112-114. J.W. Han and C. Nguyen, "Integrated Balanced Sampling Circuit for Ultra-Wideband Communications and Radar Systems," IEEE Microwave and Wireless Components Letters, Vol. 14, No. 10, Oct. 2004, pp. 460-462. S.T. Kim and C. Nguyen, "On the Development of a Multifunction Millimeter-Wave Sensor for Displacement Sensing and Low-Velocity Measurement," IEEE Trans. on Microwave Theory and Techniques, Vol. MTT-52, No. 11, Nov. 2004, pp. 2503-2512. J.S. Lee, C. Nguyen, and T. Scullion, "A Novel Compact, Low-cost Impulse Ground Penetrating Radar for Nondestructive Evaluation of Pavements," IEEE Trans. on Instrumentation and Measurement, Vol. IM-53, No. 6, Dec. 2004, pp. 1502-1509. J.W. Han and C. Nguyen, "Coupled-Slotline-Hybrid Sampling Mixer Integrated with Step-Recovery-Diode Pulse Generator for UWB Applications," IEEE Trans. on Microwave Theory and Techniques, Vol. MTT-53, No. 6, June 2005, pp. 1875-1882. Y. Jin and C. Nguyen, "A 0.25-m CMOS T/R Switch for UWB Wireless Communications," IEEE Microwave and Wireless Components Letters, Vol. 15, Aug. 2005, pp. 502-504. M. Chirala and C. Nguyen, "A Novel CMOS Hairpin Resonator Using Slow-Wave Structure," IEEE Microwave and Wireless Components Letters, Vol. 15, Aug. 2005, pp. 525-529. J.S. Park and C. Nguyen, "An Ultra-Wideband Microwave Radar Sensor for Nondestructive Evaluation of Pavement Subsurface,"IEEE Sensors Journal, Vol. 5, Oct. 2005, pp. 942-949. J.W. Han and C. Nguyen, "On the Development of a Compact Sub-Nanosecond Tunable Monocycle Pulse Transmitter for UWB Applications," IEEE Trans. on Microwave Theory and Techniques, Vol. MTT-54, No. 1, Jan. 2006, pp. 285-293. Google Scholar Profile : diff --git a/src/data/compiled_bios/294.txt b/src/data/compiled_bios/294.txt new file mode 100644 index 0000000000..0c4ee8a81d --- /dev/null +++ b/src/data/compiled_bios/294.txt @@ -0,0 +1 @@ + Home News Publications Teaching Data Contact Alexander Herzog, Ph.D. Lecturer, School of Computing Clemson University Office : 227 McAdams Hall Office hours : Mondays, 10:00-11:00am Email : aherzog-at-clemson.edu CV (PDF) | Google Scholar | GitHub I am a Lecturer in the School of Computing at Clemson University , Director of the Senior Design/Capstone program in Computer Science, and Research Scientist in the Data Intensive Computing Ecosystems (DICE) Lab . Before joining the School of Computing, I received my Ph.D. in Political Science from the Department of Politics at New York University , taught at the London School of Economics , and worked as a postdoctoral researcher in Clemson's Social Analytics Institute. My research is in computational social science, with a focus on text analysis and big data analytics. My work develops and applies scalable solutions to process and extract knowledge from large volumes of unstructured data, such as speeches, social media, scientific publications, and newspaper articles. I use insights extracted from these data to study political and social problems in the areas of comparative politics, legislative behavior, and public policy-making. News Oct. 16, 2018 : Our paper "Are abstracts enough for hypothesis generation?" (with Justin Sybrandt, Angelo Carrabba and Ilya Safro) has been accepted to the 2018 IEEE International Conference on Big Data . Sept. 2018 : Our book chapter "'More than Words': A Quantitative Text Analysis of the Treaty Debates" (with Liam Weeks, Mchel Fathartaigh and Slava Mikhaylov) is now available as part of the book " The Treaty: Debating and Establishing the Irish State ", edited by Liam Weeks and Mchel Fathartaigh. Sept. 2018 : I will be serving on the program committee for the 3rd Workshop on Open Science in Big Data (OSBD) , held in conjunction with the 2018 IEEE International Conference on Big Data . July 27, 2018 : Our paper "Signals to their parliaments? Governments' use of votes and policy statements in the EU Council" (with Stefanie Bailer and Sara Hagemann) has been accepted for publication in the Journal of Common Market Studies (JCMS). July 14, 2018 : Our paper "Deep Voting: Measuring Ideology and Predicting Votes from Bill Texts using Neural Networks" (with Nick Beauchamp) has been accepted for presentation at the 9th Annual Conference on New Directions in Analyzing Text as Data (TADA 2018) . Apr. 19, 2018 : I'm happy to announce that I have received a "National Scholars Program Award of Distinction", for which I was nominated by my research student Grace Glenn . From Clemson's National Scholars Program website : "This recognition goes to individuals for their tireless commitment to the intellectual, professional and personal development of each graduating Scholar." Pictures here . Apr. 13, 2018 : A first version of our new working paper "Are abstracts enough for hypothesis generation?" (with Justin Sybrandt, Angelo Carrabba and Ilya Safro) is now available on arXiv . Jan. 29, 2018 : Our paper "Addressing the challenges of executing a massive computational cluster in the cloud" (with Brandon Posey, Christopher Gropp, Boyd Wilson, Boyd McGeachie, Sanjay Padhi and Amy Apon) has been accepted to the 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid) . show archived news Publications Peer-Reviewed Articles Sara Hagemann, Stefanie Bailer, and Alexander Herzog, Signals to their parliaments: Governments' strategic use of votes and policy statements in the Council of the European Union, Journal of Common Market Studies (forthcoming) , 2019. [ bib ] Justin Sybrandt, Angelo Carrabba, Alexander Herzog, and Ilya Safro, Are abstracts enough for hypothesis generation?, in Proceedings of the 2018 IEEE International Conference on Big Data , December 2018. [ bib ] Brandon Posey, Christopher Gropp, Boyd Wilson, Boyd McGeachie, Sanjay Padhi, Alexander Herzog, and Amy Apon, Addressing the challenges of executing a massive computational cluster in the cloud, in Proceedings of the 18th Annual IEEE/ACM International Symposium in Cluster, Cloud, and Grid Computing (CCGrid 2018) , May 2018. [ bib | pdf ] Yuheng Du, Alexander Herzog, Andre Luckow, Ramu Nerella, Christopher Gropp, and Amy Apon, Representativeness of latent Dirichlet allocation topics estimated from data samples with application to Common Crawl, in Proceedings of the 2017 IEEE International Conference on Big Data , 2017. [ bib | pdf ] Neela Avudaiappan, Alexander Herzog, Sneha Kadam, Yuheng Du, Jason Thatcher, and Ilya Safro, Detecting and summarizing emergent events in microblogs and social media streams by dynamic centralities, in Proceedings of the 2017 IEEE International Conference on Big Data , 2017. [ bib | pdf | code ] Brandon Posey, Christopher Gropp, Alexander Herzog, and Amy Apon, Automated cluster provisioning and workflow management for parallel scientific applications in the cloud, in Proceedings of the 10th Workshop on Many-Task Computing on Clouds, Grids, and Supercomputers (MTAGS) , 2017, Workshop held in conjunction with the 2017 International Conference for High Performance Computing, Networking, Storage and Analysis. [ bib | pdf ] Alexander Herzog and Slava Mikhaylov, Database of parliamentary speeches in Ireland, 1919-2013, in Proceedings of the 1st IEEE International Conference on the Frontiers and Advances in Data Science , 2017. [ bib | pdf | data ] BenjaminE. Lauderdale and Alexander Herzog, Measuring political positions from legislative speech, Political Analysis , vol. 24, no. 3, pp. 374--394, 2016. [ bib | pdf | online appendix | replication files ] Alexander Herzog and Kenneth Benoit, The most unkindest cuts: Speaker selection and expressed government dissent during economic crisis, Journal of Politics , vol. 77, no. 4, pp. 1157--1175, 2015. [ bib | pdf | online appendix | replication files ] Alexander Herzog and JoshuaA. Tucker, The dynamics of support: The winners-losers gap in attitudes towards EU membership in post-communist countries, European Political Science Review , vol. 2, no. 2, pp. 235--267, 2010. [ bib | pdf | replication files ] FranzUrban Pappi, Alexander Herzog, and Ralf Schmitt, Koalitionssignale und die Kombination von Erst- und Zweitstimme bei den Bundestagswahlen 1953 bis 2005 [Coalition signals and the combination of first and second vote in Bundestag elections 1953 to 2005], Zeitschrift fr Parlamentsfragen , vol. 37, no. 3, pp. 493--513, 2006. [ bib | pdf ] FranzUrban Pappi, Axel Becker, and Alexander Herzog, Regierungsbildung in Mehrebenensystemen: zur Erklrung der Koalitionsbildung in den deutschen Bundeslndern [Government formation in multilevel systems: Explaining coalition building in the German Lnder], Politische Vierteljahresschrift , vol. 46, no. 3, pp. 432--458, 2005. [ bib | pdf ] Book Chapters Liam Weeks, Mchel Fathartaigh, Slava Mikhaylov, and Alexander Herzog, 'More than words': A quantitative text analysis of the treaty debates, in The Treaty: Debating and Establishing the Irish State , Liam Weeks and Mchel Fathartaigh, Eds., pp. 206--224. Irish Academic Press, 2018. [ bib ] Kenneth Benoit and Alexander Herzog, Text analysis: Estimating policy preferences from written and spoken words, in Analytics, Policy and Governance , Jennifer Bachner, KathrynWagner Hill, and Benjamin Ginsberg, Eds., pp. 137--159. Yale University Press, 2017. [ bib ] Working Papers Chris Gropp, Alexander Herzog, Ilya Safro, Paul Wilson, and Amy Apon, Scalable dynamic topic modeling with clustered latent Dirichlet allocation (CLDA), 2017. [ bib | arXiv ] Liam Weeks, MchelO Fathartaigh, Slava Mikhaylov, and Alexander Herzog, More than words? Explaining the origins of the Irish party system, Presented at the 2016 Annual Conference of the Political Studies Association of Ireland. *Winner of the Irish Political Studies Best Paper Prize* , 2016. [ bib ] Teaching Clemson University Catalog # Course Title Spring 2016 Fall 2016 Spring 2017 Fall 2017 Spring 2018 Fall 2018 Spring 2019 CPSC 4300/6300 Applied Data Science X X X X X X CPSC 4910-02 Senior Design/Capstone Course X X X X X X CPSC 4910-01 Seminar in Professional Issues II X X X X London School of Economics Legislative Politics: European Parliament, MS, 2013, 2014 European Politics: Comparative Analysis, MS 2012, 2013 Government, Politics and Public Policy in the EU, BS, 2012/13, 2013/14 Politics and Institutions in Europe, BS, 2012/13, 2013/14 New York University Comparative Politics, BA, Teaching Assistant, 2010, 2011 Quantitative Methods I-III, PhD course, Teaching Assistant, 2007-09 Data DPSI: Database of Parliamentary Speeches in Ireland (with Slava Mikhaylov ) Description: DPSI contains the complete record of parliamentary speeches from Dil ireann, the House of Representatives of the Irish parliament, from the first meeting on 21 January 1919 to the current session. In addition, the database contains background information on all TDs (Teachta Dla, members of parliament), such as their party affiliations, constituencies and office positions. The current version of the database includes close to 4.5 million speeches from 1,236 TDs. Data collection: The speeches were downloaded from the official parliament website and further processed and parsed with a Python script. Background information on TDs was collected from the member database of the parliament website. Data on cabinet positions (ministers and junior ministers) was collected from the official website of the government. A record linkage algorithm and human coders were used to match TDs and ministers. Acknowledgments: The data collection was supported in part by the Irish Research Council for Humanities and the Social Sciences. The Institute for International Integration Studies (IIIS) at Trinity College Dublin provided research facilities for parts of the project. Citation: Alexander Herzog and Slava Mikhaylov. Database of parliamentary speeches in Ireland, 1919-2013. In Proceedings of the 1st IEEE International Conference on the Frontiers and Advances in Data Science , 2017. [ bib ] Access: Available on Dataverse Contact Mailing address: School of Computing 100 McAdams Hall Clemson University Clemson, SC 29634-0901 Office : 227 McAdams Hall Email : aherzog-at-clemson.edu Web : www.alexherzog.net Last updated: January 18, 2019 Bibliography created with bibtex2html diff --git a/src/data/compiled_bios/2940.txt b/src/data/compiled_bios/2940.txt new file mode 100644 index 0000000000..e4ebc13ffa --- /dev/null +++ b/src/data/compiled_bios/2940.txt @@ -0,0 +1 @@ + Professor of Practice Email: kjnowka@tamu.edu Office: WEB 237E : diff --git a/src/data/compiled_bios/2941.txt b/src/data/compiled_bios/2941.txt new file mode 100644 index 0000000000..8559a75f49 --- /dev/null +++ b/src/data/compiled_bios/2941.txt @@ -0,0 +1 @@ + Professor TEES Eminent Professor Member, National Academy of Engineering Phone: 979-458-5001 Email: overbye@tamu.edu Office: WEB 308C Google Scholar Profile Educational Background Ph.D. Electrical Engineering, University of Wisconsin, 1991 M.S. Electrical Engineering, University of Wisconsin, 1988 B.S. Electrical Engineering, University of Wisconsin, 1983 Research Interests Power system analysis and simulations Visualization of power system information Big data and cyber security applied to power systems Power s ystem aspects of geomagnetic disturbances and EMP Awards & Honors IEEE Fellow IEEE Power and Energy Society Outstanding Power Engineering Educator Award Distinguished Achievement Award, University Wisconsin Madison College of Engineering IEEE Third Millennium Medal Selected Publications S. Dutta, T.J. Overbye, "Feature Extraction and Visualization of Power System Transient Stability Results," IEEE Transactions on Power Systems, vol. 29, pp. 966-973, March 2014. K.S. Shetye, T.J. Overbye, S. Mohapatra, R. Xu, J.F. Gronquist, T.L. Doern, "Systematic Determination of Discrepancies across Transient Stability Software Packages," IEEE Transactions on Power Systems, vol 31, pp. 432-441, January 2016 S. Kim, T.J. Overbye, "Mixed Transient Stability Analysis Using AC and DC Models," IEEE Transactions on Power Systems, vol. 31, pp. 942-948, March 2016 A.B. Birchfield, K.M. Gegner, T. Xu, K.S. Shetye, T.J. Overbye, "Statistical Considerations in the Creation of Realistic Synthetic Power Grids for Geomagnetic Disturbance Studies," to appear IEEE Transactions on Power Systems M. Kazerooni, H. Zhu, T.J. Overbye, D. Wojtczak, "Transmission System Geomagnetically Induced Current Model Validation," to appear IEEE Transactions on Power Systems Google Scholar Profile : diff --git a/src/data/compiled_bios/2942.txt b/src/data/compiled_bios/2942.txt new file mode 100644 index 0000000000..d280e356a6 --- /dev/null +++ b/src/data/compiled_bios/2942.txt @@ -0,0 +1 @@ + Associate Professor Phone: 979-458-4114 FAX: 979-845-7161 Email: spalermo@tamu.edu Office: WEB 315E Website: Personal Website Google Scholar Profile Educational Background Ph.D. Stanford University, 2007 M.S. Texas A&M University, 1999 B.S. Texas A&M University, 1997 Research Interests Analog and mixed-signal circuits High-speed electrical and optical interconnect circuits and design methodologies Design and modeling of clock generation and recovery circuits (PLL/DLL/CDRs) Overcoming i ncreasing variability in analog circuits with digital assistance Selected Publications I. Young, E. Mohammed, J. Liao, A. Kern, S. Palermo, B. Block, M. Reshotko, and P. Chang, "Optical Technology for Energy Efficient I/O in High Performance Computing," IEEE Communications Magazine, Oct. 2010. A. Palaniappan and S. Palermo, "Power Efficiency Modeling and Optimization of High-Speed Equalized-Electrical I/O Architectures," IEEE Conference on Electrical Performance of Electronic Packaging and Systems, Oct. 2010. A. Palaniappan and S. Palermo, "Power Efficiency Comparisons of Interchip Optical Interconnect Architectures," IEEE Transactions on Circuits and Systems II, May 2010. I. Young, E. Mohammed, J. Liao, A. Kern, S. Palermo, B. Block, M. Reshotko, and P. Chang, "Optical I/O Technology for Tera-Scale Computing," IEEE Journal of Solid-State Circuits, Jan. 2010. I. Young, E. Mohammed, J. Liao, A. Kern, S. Palermo, B. Block, M. Reshotko, and P. Chang, "Optical I/O Technology for Tera-Scale Computing," IEEE International Solid-State Circuits Conference, Feb. 2009. S. Palermo, A. Emami-Neyestanak, and M. Horowitz, "A 90nm CMOS 16Gb/s Transceiver for Optical Interconnects," IEEE Journal of Solid-State Circuits, May 2008. E. Mohammed, J. Liao, A. Kern, D. Lu, H. Braunisch, T. Thomas, S. Hyvonen, S. Palermo, and I. Young, "An Optical Hybrid Package with an 8-channel 18GT/s CMOS Transceiver for Chip-to-Chip Optical Interconnect," SPIE Photonics West, Jan. 2008. J. Roth, S. Palermo, N. Helman, D. Bour, D. Miller, and M. Horowitz, "An Optical Interconnect Transceiver at 1550nm using Low Voltage Electroabsorption Modulators Directly Integrated to CMOS," IEEE-OSA Journal of Lightwave Technology, Dec. 2007. S. Palermo, A. Emami-Neyestanak, and M. Horowitz, "A 90nm CMOS 16Gb/s Transceiver for Optical Interconnects," IEEE International Solid-State Circuits Conference, Feb. 2007. J. Roth, S. Palermo, N. Helman, D. Bour, D. Miller, and M. Horowitz, "1550nm Optical Interconnect Transceiver with Low Voltage Electroabsorption Modulators Flip-Chip Bonded to 90nm CMOS," IEEE-OSA Optical Fiber Communications Conference, Feb. 2007. Google Scholar Profile : diff --git a/src/data/compiled_bios/2943.txt b/src/data/compiled_bios/2943.txt new file mode 100644 index 0000000000..95aafeabd6 --- /dev/null +++ b/src/data/compiled_bios/2943.txt @@ -0,0 +1 @@ + Assistant Professor Phone: 979-458-7853 Email: hangue.park@tamu.edu Office: WEB 244E Website: Research webpage Google Scholar Profile Educational Background Ph.D., Georgia Institute of Technology, 2017 M.S., Seoul National University, 2008 B.S., Seoul National University, 2006 Research Interests Neuromodulation using electrical stimulation Rhythmic movements in human body Rehabilitation after spinal cord injury Human augmentation Wireless intraoral device and its applications Biomedical system & IC design Awards & Honors Neuroscience Trainee Professional Development Award, Society for Neuroscience, 2017 Outstanding Research Award for Predoctoral Students, Association of Korean Neuroscientists, 2016 Best Demonstration Award, IEEE BIOCAS conference, 2012 Second Place Award & Best Showcase Award, Georgia Tech Business Plan Competition, 2012 Selected Publications H. Park, M.S. Islam, M.A. Grover, A.N. Klishko, B.I. Prilutsky, and S.P. DeWeerth, A Prototype of a Neural, Powered, Transtibial Prosthesis for the Cat: Benchtop Characterization, Frontiers in Neuroscience, special issue on Neural Prostheses for Locomotion, Jul. 2018 H. Park, K. Oh, B. I. Prilutsky, and S. P. DeWeerth, A real-time closed-loop control system for modulating gait characteristics via electrical stimulation of peripheral nerves, proceedings of the IEEE Biomedical Circuits and Systems conference, 2016. H. Park and M. Ghovanloo, Wireless communication of intraoral devices and its optimal frequency selection, IEEE Transactions on Microwave Theory and Techniques, vol. 62, no. 12, pp. 3205-3215, 2014. J. Kim, H. Park, J. Bruce, E. Sutton, D. Rowles, D. Pucci, J. Holbrook, J. Minocha, B. Nardone, D. West, A. Laumann, E. Roth, M. Jones, E. Veledar, and M. Ghovanloo, "The tongue enables computer and wheelchair control for people with spinal cord injury," Science Translational Medicine, vol. 5, no. 213, p. 213ra166, 2013. H. Park, M. Kiani, H. Lee, J. Kim, J. Block, B. Gosselin, and M. Ghovanloo, A Wireless Magnetoresistive Sensing System for an Intraoral Tongue-Computer Interface, IEEE Transactions on Biomedical Circuits and Systems, vol. 6, no. 6, pp. 571585, Dec. 2012. Google Scholar Profile : diff --git a/src/data/compiled_bios/2944.txt b/src/data/compiled_bios/2944.txt new file mode 100644 index 0000000000..bdf488fbb0 --- /dev/null +++ b/src/data/compiled_bios/2944.txt @@ -0,0 +1 @@ + Assistant Professor Phone: 979-458-8579 FAX: 979-845-6259 Email: sipark@exchange.tamu.edu Office: WEB 223G, GERB 207 Website: Research Website Google Scholar Profile Educational Background Stanford University, Ph.D., Electrical Engineering The University of Texas at Austin, MS, Electrical and Computer Engineering Hanyang University, BS, Electrical and Electronics Engineering Research Interests A fully implantable, minimally-invasive or non-invasiveinvasive wireless platform electronic for wireless optogenetics Novelsoft neural interfacing device design Ultraminiaturized antenna design for implantable devices RF circuit designs Wireless power transmission into biological tissues Awards & Honors The Korean Honor Scholarship, 2012 Selected Publications G. Shin, A. M. Gomez, R. Al-Hasani, Y. Jeong, J. Kim, Z. Xie, A. Banks, S. Lee, S. Han, C. Yoo, J. Lee, S. Lee, J. Kurniawan, J. Tureb, Z. Guo, J. Yoon, S.-I. Park, S. Bang, Y. Nam, M. C. Walicki, V. K. Samineni, A. D. Mickle, K. Lee, S. Heo, J.G. McCall, T. Pan, L. Wang, X.Feng, T. Kim, J. Kim, Y. Li, Y. R. W. Gereau IV, J. Ha, M. R. Bruchas, and J. A. Rogers. Near-Field Wireless Optoelectronics as Subdermal Implants for Broad Applications in Optogenetics. Neuron 93, pp.1-13 (2017). S.-I. Park, D.S. Brenner, J.G. McCall, G. Shin, R. Al-Hasani, A.J. Norris, L. Xia, K.-N. Noh, S.-Y. Bang, K.-I. Jang, S.-K. Kang, A.D. Mickle, G.Dussor, T.J.Price, R.W. Gereau, M.R. Bruchas & J.A. Rogers. Stretchable multi-channel antennas in soft wireless optoelectronic implants for optogenetics. Proceedings of the National Academy of Sciences 113, pp.8169-8177 (2016). S.-I. Park, D.S. Brenner, G. Shin, C.D. Morgan, B.A. Copits, H.-U. Chung, M.Y. Pullen, K.-N. Noh, S. Davidson, S.-J. Oh, J. Yoon, K.-I. Jang, V.K. Samineni, M. Norman, J.G. Grajales-Reyes, S.K. Vogt, S.S. Sundaram, K.M. Wilson, J.-S. Ha, R. Xu, T. Pan, Y. Huang, M.C. Montana, J.P. Golden, M.R. Bruchas, R.W. Gereau & J.A. Rogers. Soft, stretchable, fully implantable miniaturized optoelectronic systems for wireless optogenetics. Nature Biotechnology 33, 1280-1286 (2015). S.-I. Park, G. Shin, A. Banks, J.G. McCall, E.R. Siuda, M.J. Schmidt, H.-U. Chung, K.-N. Noh, J.G. Mun, J. Rhodes, M.R. Bruchas & J.A. Rogers. Ultraminiaturized photovoltaic and radio frequency powered optoelectronic systems for wireless optogenetics. Journal of Neural Engineering 12, 056002 (2015). S.-I. Park. Enhancement of wireless power transmission into biological tissues using a high surface impedance ground plane. Progress In Electromagnetics Research 135, 231-136 (2013). Google Scholar Profile : diff --git a/src/data/compiled_bios/2945.txt b/src/data/compiled_bios/2945.txt new file mode 100644 index 0000000000..6ade89c9d8 --- /dev/null +++ b/src/data/compiled_bios/2945.txt @@ -0,0 +1 @@ + Associate Professor Phone: 979-845-6268 Email: xqian@tamu.edu Office: WEB 205J Website: Personal page Google Scholar Profile Educational Background Ph.D., Yale University Research Interests Bioinformatics: - Analysis and intervention in biological networks; - Functional data analysis on genomic and proteomic datasets. Biomedical image processing and analysis: - Image segmentation and robust boundary finding; - Shape-based similarity retrieval in multimedia databases. Selected Publications Byung-Jun Yoon, Xiaoning Qian, Edward R Dougherty, "Quantifying the objective cost of uncertainty in complex dynamic systems," [Paper] IEEE Transactions on Signal Processing, 61(9): 2256--2266, 2013. Yijie Wang and Xiaoning Qian, "A novel subgradient-based optimization algorithm for blockmodel functional module identification," [Paper] BMC Bioinformatics, 14(Suppl 2):S23, 2013. Shaogang Ren, Bo Zeng, and Xiaoning Qian, "Adaptive bi-level programming for optimal gene knockouts for targeted overproduction under phenotypic constraints," [Paper] BMC Bioinformatics, 14(Suppl 2):S17, 2013. Meng Lu, Jianhua Z. Huang, and Xiaoning Qian, "Supervised logistic principal component analysis for pathway based genome-wide association studies," [Paper]ACM Conference on Bioinformatics, Computational Biology and Biomedicine, 2012. Byung-Jun Yoon, Xiaoning Qian, Sayed Mohammad Ebrahim Sahraeian, "Comparative analysis of biological networks using Markov chains and hidden Markov models," [Paper] IEEE Signal Processing Magazine, Special Issue on Genomic and Proteomic Signal Processing in Biomolecular Pathways, 29(1): 22--34, 2012. Xiaoning Qian and Edward R Dougherty, "Intervention in gene regulatory networks via phenotypically constrained control policies based on long-run behavior," [Paper] IEEE/ACM Transactions on Computational Biology and Bioinformatics, 9(1): 123--136, 2012. Xiaoning Qian, Noushin Ghaffari, Ivan Ivanov and Edward R. Dougherty, "State reduction for network intervention in probabilistic Boolean networks," [Paper]Bioinformatics, 26(24): 3098--3104, 2010. Xiaoning Qian, Ivan Ivanov, Noushin Ghaffari and Edward R. Dougherty, Intervention in gene regulatory networks via greedy control policies based on long-run behavior," [Paper] BMC Systems Biology, 3(61): 16 pages, 2009. Xiaoning Qian and Edward R. Dougherty, "On the long-run sensitivity of probabilistic Boolean networks," [Paper] Journal of Theoretical Biology, 257(4): 560--577, 2009. Xiaoning Qian , Sing-Hoi Sze, Byung-Jun Yoon, "Querying pathways in protein interaction networks based on hidden Markov models," [Paper] Journal of Computational Biology, 16(2):145--157, 2009. Google Scholar Profile : diff --git a/src/data/compiled_bios/2946.txt b/src/data/compiled_bios/2946.txt new file mode 100644 index 0000000000..191227d005 --- /dev/null +++ b/src/data/compiled_bios/2946.txt @@ -0,0 +1 @@ + Senior Lecturer Phone: 979-862-1505 Email: mina-m-rahimian@tamu.edu Office: WEB 237D : diff --git a/src/data/compiled_bios/2947.txt b/src/data/compiled_bios/2947.txt new file mode 100644 index 0000000000..1b963a580b --- /dev/null +++ b/src/data/compiled_bios/2947.txt @@ -0,0 +1 @@ + Assistant Professor Phone: 979-458-7851 Email: jv.rajendran@tamu.edu Office: WEB 333H Google Scholar Profile Educational Background Ph.D., Electrical Engineering, New York University, 2015 M.S., Computer Engineering, New York University Poly, 2010 B.E., Electronics and Communication Engineering, Anna University, India, 2008 Research Interests Hardware security Nanoelectronic computing architectures VLSI design Google Scholar Profile : diff --git a/src/data/compiled_bios/2948.txt b/src/data/compiled_bios/2948.txt new file mode 100644 index 0000000000..d862a9d979 --- /dev/null +++ b/src/data/compiled_bios/2948.txt @@ -0,0 +1 @@ + J.W. Runyon, Jr. '35 Professor I Associate Dean for Research Associate Agency Director for Strategic Initiatives and Centers (Texas A&M Engineering Experiment Station) Phone: 979-845-7598 FAX: 979-845-2630 Email: reddy@tamu.edu Office: WEB 333J Website: Research Website Google Scholar Profile Educational Background B.Tech. degree in Electronics and Electrical Communications Engineering from the Indian Institute of Technology, Kharagpur, India, in August 1985 M.S. degree in Computer Engineering from the University of Illinois at Urbana-Champaign in 1987 Ph.D in Computer Engineering from the University of Illinois At Urbana-Champaign in 1990 Research Interests Computer Networks Storage Systems Multimedia systems Computer Architecture Awards & Honors IEEE Fellow NSF Career Award, 1996-2000 Cited for One of the most influential papers of 1st ACM Conf. on Multimedia, 2003 IBM Technical Achievement Award, 1995 Texas A&M Faculty Fellow 1999, Ford Fellow 2004, TAMU Outstanding Professor, IEEE Student branch, Texas A & M, 1997-98 Outstanding Professor, Dept. of Elec. Engg., 2003 Distinguished Achievement Award for teaching from Former Students Association, College of Engineering, TAMU, 2005 IBM Graduate Fellowship, 1988-1990 Presidential Silver Medal, Indian Inst. of Tech., 1985 Selected Publications Amit Amaleswarm, A. L. Narasimha Reddy, Sandep Yadav, Guofei Gu and Chao Yang, CATS: Characterizing Automation of Twitter Spammers , Int. Conf. COMSNETS, Jan. 2013. Yong Oh Lee, and A. L. Narasimha Reddy, Multipath routing for reducing network energy , IEEE Greencom Conf., Sept. 2012. Xiaojian Wu, and A. L. Narasimha Reddy, A novel approach to manage a hybrid storage system , Journal of Communications, vol. 7., July 2012. Sheng Qiu, A. L. Narasimha Reddy, Exploiting superpages in a nonvolatile memory system IEEE Mass Storage Symposium, Apr. 2012. Sangwhan Moon, A. L. Narasimha Reddy, Write amplification due to ECC on flash memory or leave those bit errors alone IEEE Mass Storage Symposium, Apr. 2012. Sandeep Yadav, Ashwath Kumar Reddy, A. L. Narasimha Reddy and Soups Ranjan, Detecting Algorithmically Generated Domain-flux Attacks with DNS Traffic Analysis , ACM/IEEE Transactions on Networking, 2012. Seungwon Shin, Guofei Gu, A. L. Narasimha Reddy and Christopher Lee, A large-scale empirical study of Confiker , to appear in IEEE Trans. on Information Forensics and Security, 2012. Yong Oh Lee, and A. L. Narasimha Reddy, Constructing disjoint paths for failure recovery and multipath routing , Elsevier Journal on Computer Networks., 2012. Xiaojian Wu, and A. L. Narasimha Reddy, SCMFS: A file system for Storage Class Memory, ACM/IEEE Supercomputing Conf, SC11, Nov. 2011. Sandeep Yadav, A. L. Narasimha Reddy, Winning with DNS Failures: Strategies for faster botnet detection, SecureComm Conf., Sep. 2011. Google Scholar Profile : diff --git a/src/data/compiled_bios/2949.txt b/src/data/compiled_bios/2949.txt new file mode 100644 index 0000000000..4ddf24ec89 --- /dev/null +++ b/src/data/compiled_bios/2949.txt @@ -0,0 +1 @@ + TEES Eminent Professor Member, National Academy of Science Phone: 979-845-7250 FAX: 979-845-6259 Email: prentzepis@tamu.edu Office: WEB 235C Google Scholar Profile Educational Background University of Cambridge, England, Ph.D. Denison University, B.S. Research Interests Lasers and their application to science and technology Awards & Honors Awarded the Irving Langmuir Award in Chemical Physics from The American Physical Society Received honorary doctorates from Syracuse University, Denison University, Carnegie-Mellon University and the National Technical University of Greece. Received the Peter Debye Award in Physical Chemistry from The American Chemical Society Named Fellow of the New York Academy of Sciences and American Physical Society Member of Foreign Academy of Science Selected Publications Subpicosecond and Sub-Angstrom Time and Space Studies by Means of Light X-ray, and Electronlnteraction with Matter. Jie Chen and Peter M. Rentzepis,J. Phys. Chem. Lett. 5,225-30, 2014 Rationale and mechanism for the low photo inactivation rate of bacteria in plasma. Jie Chen, Thomas C. Cesarioc, and Peter M. Rentzepis, PNAS,111,33-38, 2014 X-ray laser resonator for the kilo-electron-volt range. Jie Chen, Ivan V. Tomov, Ali O. Er, and Peter M. Rentzepis Appl. Phys. Lett. 102, 174101-03, (2013) Cavity for hard, keV,x-ray laser. Jie Che,I.V. Tomov,Ali er, Peter Rentzepis, SPIElO,1117,2013 Inactivation of bacteria in plasma. Ali Oguz Er, Jie Chen, Thomas C. Cesario and P. M. Rentzepis. Photochem. Photobiol. Sci." 00,1-5,2012 Ultrafast time resolved x-ray diffraction, extended x-ray absorption fine structure and x-ray absorption near edge structure. Ali Oguz Erl, Jie Chenz and Peter M. Rentzepis1,a) J. Appl. Phys. 112, 031101 (2012) Blast wave and contraction in Au(111) thin film induced by femtosecond laser pulses. A time resolved x-ray diffraction study. Jie Chen Wei-Kan Chen, and Peter M. Rentzepis J. Appl. Phys. 109, 113522 -25, 2011 Effect of pH on Methylene Blue Transient States and Kinetics and Bacteria Photoinactivation. Jie Chen, Thomas C. Cesario, and Peter M. Rentzepis. J. Phys. Chem. A, 115, 2702-2707, 2011 Time-resolved structural dynamics of thin metal films heated with femtosecond optical pulses Jie Chen, Wei-Kan Chenb, Jau Tangc, 2, and Peter M. Rentzepis, PNAS, 108, 18887-18892, 2011 Fiber Based Pathogen Photoinactivating System. Jie Chen, T. C. Cesario, PM. Rentzepis' Rev. Sci. Instr. 82 (l), 015110,2011 Google Scholar Profile : diff --git a/src/data/compiled_bios/295.txt b/src/data/compiled_bios/295.txt new file mode 100644 index 0000000000..02f5e18d6b --- /dev/null +++ b/src/data/compiled_bios/295.txt @@ -0,0 +1 @@ +Larry F. Hodges, Ph.D. PUBLICATIONS v VE GROUP ACADEMIC FAMILY SCHOOL OF COMPUTING WOLF TALES VIDEO RECOVR VIRTUALLY BETTER Dr. Larry F. Hodges is Professor of Human-Centered Computing in the School of Computing, a Faculty Fellow of the Spiro Institute for Entrepreneurial Leadership, and a Faculty Scholar in the School of Health Research--all at Clemson University. From 2008-2013 he served as the C. Tycho Howle Director of the School of Computing . Prior to joining Clemson he served as Chair of the Department of Computer Science at the University of North Carolina at Charlotte for six years. He began his career at Georgia Tech where he was a faculty member for 14 years and was a founding faculty member of both the College of Computing and the GVU Center. He completed his Ph.D and M.S. at North Carolina State University, the Master of Arts in Religion at Lancaster Theological Seminary, and the B.A. with a double major in mathematics and physics at Elon University. Dr. Hodges is an active researcher in the areas of Virtual Reality, 3D User Interface Design and Evaluation, Interactive Training Systems and Virtual Humans. His contributions have been recognized by a GVU Impact Award from Georgia Tech in 2007, the IEEE Virtual Reality Career Award in 2006, and the Essam El-Kwae Faculty-Student Research Award from the College of Computing and Informatics at UNC Charlotte in 2008. In 2017 he was inducted into the Computer Science Alumni Hall of Fame at North Carolina State University ( audio ) . In 2018 Elon University honored him with a College of Arts and Sciences Distinguished Alumni Award . In addition to his academic career he is the Co-Founder of two companies: Recovr, Inc. and Virtually Better, LLC. diff --git a/src/data/compiled_bios/2950.txt b/src/data/compiled_bios/2950.txt new file mode 100644 index 0000000000..4528fcab8e --- /dev/null +++ b/src/data/compiled_bios/2950.txt @@ -0,0 +1 @@ + Associate Professor Phone: 979-862-8586 FAX: 979-845-6259 Email: rrighetti@tamu.edu Office: WEB 309D Website: Personal Website Google Scholar Profile Educational Background Ph.D., University of Houston M.S., University of Houston Doctor of Engineering, Universit degli Studi di Firenze, Florence, Italy. Research Interests Ultrasonic Imaging Ultrasound methods for imaging the mechanical behavior of soft tissues Medical uses of ultrasound Biomedical Imaging Google Scholar Profile : diff --git a/src/data/compiled_bios/2951.txt b/src/data/compiled_bios/2951.txt new file mode 100644 index 0000000000..1219220a71 --- /dev/null +++ b/src/data/compiled_bios/2951.txt @@ -0,0 +1 @@ + Engineering Research Chair Professor Regents Professor TEES Eminent Professor Member, National Academy of Engineering Phone: 979-845-7912 FAX: 979-458-1139 Email: bdrussell@tamu.edu Office: WEB 238 Website: Research Website Google Scholar Profile Educational Background Ph.D., Electrical Engineering, University of Oklahoma, 1975 M.E., Electrical Engineering, Texas A&M University, 1971 B.S., Electrical Engineering, Texas A&M University, 1970 Research Interests Electric Power Engineering Power System Protection Control and Automation of Power Systems Power Systems Diagnostics and Waveform Analytics Forensic Engineering Engineering Ethics Engineering Professionalism Awards & Honors IEEE Fellow National Society of Professional Engineers Fellow National Academy of Forensic Engineers Fellow National Academy of Inventors Fellow Institution of Engineering and Technology Fellow CIGR Distinguished Member Past President, IEEE Power and Energy Society Vice President, USNC International Council on Large Electric Systems (CIGR) Meritorious Service Award, Power and Energy Society, 2006 IEEE Millennium Medal, 2000 Past Chair, NAE Electric Power and Energy Engineering Section Distinguished Achievement Award in Research, Association of Former Students, Texas A&M University IEEE Herman Halperin Electric Transmission and Distribution Technical Field Award IEEE Electrotechnology Transfer Award R&D 100 Award for the Development of the Digital Feeder Monitor Outstanding Engineering Achievement Award, National Society of Professional Engineers The Academy of Medicine, Engineering and Science of Texas (TAMEST), Charter Member Holds 15 US patents; multiple foreign patents Selected Publications Wischkaemper, J. A., Benner, C. L., Russell, B. D., and Manivannan, K., Online Assessment of Capacitor Banks Using Circuit Health Monitoring Technology, Proceedings of CIGRE USNC Grid of the Future Symposium, Houston, TX, October 19-21, 2014. Wischkaemper, J. A., Benner, C. L., Russell, B. D., and Manivannan, K., Wildfire Mitigation Through Advanced Monitoring: State of Texas Demonstration Project, Proceedings of CIGRE USNC Grid of the Future Symposium, Houston, TX, October 19-21, 2014. Wischkaemper, J. A., Benner, C. L., Russell, B. D., and Manivannan, K., Automated Power System Waveform Analytics for Improved Visibility, Situational Awareness, and Operational Efficiency. CIGRE USNC Grid of the Future Symposium, October 2013. Benner, C.L., Russell, B.D. Intelligent Systems for Improved Reliability and Failure Diagnosis in Distribution Systems, IEEE Transactions on Smart Grid, Vol. 1, No. 1, June 2010, pp. 48-56. Russell, B.D., Educating the Workforce for the Modem Electric Power System; University-Industry Collaboration, National Academy of Engineering of the National Academies, The Bridge, Spring 2010, pp. 35-41. Babrauskas, V., Fleming, J.M., Russell, B.D. RSET/ASET, a Flawed Concept for Fire Safety Assessment, Journal of Fire Sciences, Fire Mater, 14 April 2010, pp. 341-355. Russell, B.D., Benner, C.L., Cheney, R.M., Wallis, C.F., Anthony, T.L., Muston, W.E., Reliability Improvement of Distribution Feeders through Real-Time, Intelligent Monitoring, Proceedings of the IEEE Power and Energy Society General Meeting, Calgary, Alberta, Canada, July 27, 2009. Benner, C.L., Russell, B.D. Automated Fault Analysis Using an Intelligent Monitoring System, Proceedings of 62nd Annual Conference for Protective Relay Engineers, College Station, Texas, March 30 April 2, 2009. Detection of Downed Conductors on Utility Distribution Systems, IEEE PES Tutorial Course, Course Text No. 90EH0310-3-PWR, IEEE Press. Google Scholar Profile : diff --git a/src/data/compiled_bios/2952.txt b/src/data/compiled_bios/2952.txt new file mode 100644 index 0000000000..cd2fe24042 --- /dev/null +++ b/src/data/compiled_bios/2952.txt @@ -0,0 +1 @@ + TI Jack Kilby Chair Professor Distinguished Professor Director of Analog Mixed-Signal Center Phone: 979-845-7498 Email: s-sanchez@tamu.edu Office: WEB 318E Website: Personal Website Google Scholar Profile Educational Background Ph.D. University of Illinois, Champaign-Urbana, 1974 M.S. Stanford University, Stanford California, 1970 B.S. National Polytechnic Institute of Mexico, 1965 Research Interests RF Communication Circuits Medical Electronics Energy Harvesting Power Management Analog IC insensitive to parasitic and PVT using on chip optimization Wireless Power and Battery Chargers Awards & Honors Texas Instruments/ Jack Kilby Chair Professor Holder, College of Engineering, Texas A&M University. February 2002- Present Distinguished Professor, Texas A&M University, 2015 Outstanding Professor Award, Electrical and Computer Engineering, Texas A&M University, 2011 IEEE Circuits and Systems Society Distinguished Lecturer, 2012-13 Charles A. Desoer Technical Achievement Award, IEEE Circuits and Systems Society, 2008 Selected Publications Geiger R; Snchez-Sinencio E. Active filter design using operational transconductance amplifiers: a tutorial, IEEE Circuits and Devices Magazine, Vol. 1(2), pp. 20-32, 1985. Milliken R; Silva-Martnez J; Snchez-Sinencio E. Full on-chip CMOS low-dropout voltage regulator, IEEE Transactions on Circuits and Systems I: Regular Papers, Vol. 54(9), pp. 1879-1890, 2007. Snchez-Sinencio E; Silva-Martnez J. CMOS transconductance amplifiers, architectures and active filters: a tutorial, IEE proceedings-circuits, devices and systems, Vol. 147(1), pp. 3-12, 2000. Shouli Y; Sanchez-Sinencio E. Low voltage analog circuit design techniques: A tutorial, IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, Vol. 83(2), pp. 179-196, 2000 G Han; Sanchez-Sinencio E. CMOS transconductance multipliers: A tutorial, IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing, Vol. 45(12), pp. 1550-1563, 1998. Google Scholar Profile : diff --git a/src/data/compiled_bios/2953.txt b/src/data/compiled_bios/2953.txt new file mode 100644 index 0000000000..71e649afc8 --- /dev/null +++ b/src/data/compiled_bios/2953.txt @@ -0,0 +1 @@ + Visiting Professor Email: sastry@tamu.edu Office: WEB 333A Website Google Scholar Profile Educational Background B.Sc., Indian Institute of Technology, Kharagpur, India, 1978 B.E., Indian Institute of Science, Bangalore, India, 1981 Ph.D., Indian Institute of Science, Bangalore, India, 1985 Awards & Honors Fellow, Indian National Academy of Engineering Fellow, National Academy of Sciences, India Alumni Award for Excellence in Research, Indian Institute of Sci- ence, Bangalore, India, 2017 Most Valued Colleague Award, General Motors, 2006 C.V.Raman Award, Govt. Karnataka, India, 1999. Selected Publications A. Gupta, G. Gurrala and P.S. Sastry, An Online Power Sys- tem Stability Monitoring System using Convolutional Neural net- works, to appear in IEEE Transactions on Power Systems. A. Ghosh, H. Kumar and P.S. Sastry, Robust loss functions under label noise for deep neural networks, Thirty-First AAAI Confer- ence on Artificial Intelligence (AAAI-2017), San Francisco, USA, 49 Feb. 2017. A. Ghosh, N. Manwani and P.S. Sastry, Making risk minimization tolerant to label noise, Neurocomputing, Vol.160, pp.93-107, 2015. N. Manwani and P.S. Sastry, Geometric decision tree, IEEE Trans. Syst. Man and Cybern. Part B, Vol.42, No.1, pp.181-192, Feb. 2012. Srivatsan Laxman, P.S. Sastry and K.P. Unnikrishnan, Discover- ing Frequent Episodes and Learning Hidden Markov Models: A Formal Connection, IEEE Trans Knowledge and Data Engineer- ing, Vol.17, pp.1505-1517, 2005. Google Scholar Profile : diff --git a/src/data/compiled_bios/2954.txt b/src/data/compiled_bios/2954.txt new file mode 100644 index 0000000000..a27e321d51 --- /dev/null +++ b/src/data/compiled_bios/2954.txt @@ -0,0 +1 @@ + Associate Professor Phone: 979-845-6824 Email: savari@tamu.edu Office: WEB 308G Google Scholar Profile Educational Background Ph.D., Massachusetts Institute of Technology, 1996 Research Interests Information theory, data compression, network coding, computing and communication systems Google Scholar Profile : diff --git a/src/data/compiled_bios/2955.txt b/src/data/compiled_bios/2955.txt new file mode 100644 index 0000000000..75c9a70f2d --- /dev/null +++ b/src/data/compiled_bios/2955.txt @@ -0,0 +1 @@ + Professor Phone: 979-458-2287 FAX: 979-862-4630 Email: eserpedin@tamu.edu Office: WEB 310MC&B Website: Personal Website Google Scholar Profile Educational Background Ph.D. in Electrical Engineering, University of Virginia, Charlottesville, VA, January 1999. Master of Science in Electrical Engineering (DSP and Telecommunications), Georgia Institute of Technology, ECE School, Atlanta, GA. Diploma of Electrical Engineer, Polytechnic Institute of Bucharest, Bucharest, Romania. Research Interests Signal Processing for wireless communications Computational statistics Statistical signal processing Information theory Bioinformatics and genomics Awards & Honors NSF Career Award (2001), Outstanding Faculty Award (2004) TEES Fellow (2005) CCCT'04 Best Paper Award (2005) ICDT 2008 Best Paper Award IEEE Fellow (2013) Selected Publications S. Park, E. Serpedin, and K. Qaraqe, "On the equivalence between Stein identity and de Bruijn identity,'' IEEE Trans. On Information Theory, vol. 58, no. 12, pp. 7045 - 7067, Dec. 2012. S. Ekin, M. Abdallah, E. Serpedin, and K. Qaraqe, "Random Access and Scheduling in Spectrum Sharing OFDM-Based Wireless Networks,'' IEEE Trans. On Signal Processing, vol. 60, no. 9, pp. 4758 - 4774, Sept. 2012 A. Ahmad, D. Zenarro, E. Serpedin, and L. Vangelista, "A factor graph approach to clock offset estimation in wireless sensor networks,'' IEEE Trans. on Information Theory, vol. 58, no. 7, July 2012. A. Noor, E. Serpedin, H. Nounou and M. Nounou, "Inferring gene regulatory networks via nonlinear state-space models and exploiting sparsity,'' IEEE/ACM Trans. on Computational Biology and Bioinformatics, vol. 9, no. 4, 2012. W. Zhao, E. Serpedin and E. Dougherty, "Inferring gene regulatory networks from time series data using the minimum description length principle," Bioinformatics, Oxford, Sept. 2006: 22: 2129-2135. G. B. Giannakis and E. Serpedin, "Linear Multichannel Blind Equalizers of Nonlinear FIR Volterra Channels,'' IEEE Transactions on Signal Processing, vol. 45, no. 1, pp. 67-81, January 1997. E. Serpedin and G. B. Giannakis, "Blind Channel Identification and Equalization with Modulation Induced Cyclostationarity'', IEEE Transactions on Signal Processing, vol. 46, no. 7, pp. 1930-1944, July 1998. G. B. Giannakis and E. Serpedin, "Blind Identification of ARMA Channels with Periodically Modulated Inputs,'' IEEE Transactions on Signal Processing, vol. 46, no. 11, pp. 3099-3104, Nov. 1998. E. Serpedin and G. B. Giannakis, "A Simple Proof of a Known Channel Identifiability Result,'' IEEE Transactions on Signal Processing, vol. 47, no. 2, Feb. 1999. A. Chevreuil, E. Serpedin, P. Loubaton, and G. B. Giannakis, "Blind Channel Identification and Equalization Using Non-Redundant Periodic Modulation Precoders: Performance Analysis,'' IEEE Transactions on Signal Processing, vol. 48, no. 6, June 2000 Google Scholar Profile : diff --git a/src/data/compiled_bios/2956.txt b/src/data/compiled_bios/2956.txt new file mode 100644 index 0000000000..ecfda26bd0 --- /dev/null +++ b/src/data/compiled_bios/2956.txt @@ -0,0 +1 @@ + Associate Professor Phone: 979-458-0094 FAX: 979-845-2630 Email: sshakkot@tamu.edu Office: WEB 332C Website: Research Website Google Scholar Profile Educational Background Ph.D. Electrical Engineering, University of Illinois at Urbana-Champaign, 2007 Research Interests Broadly speaking, my research interests center around communication networks, with an emphasis on the Internet. Over the past few years, I have had the good fortune to collaborate with several different research centers specializing in both analytical and measurement based approaches. My focus areas include content distribution including P2P methods, network economics, learning and game theory, wireless ad-hoc networks, and the measurement and analysis of Internet data. Awards & Honors Cisco Research Award (2008) Defense Threat Reduction Agency (DTRA) Young Investigator Award (2009) Google Faculty Research Award (2010) NSF CAREER Award (2012) Selected Publications V. Ramaswamy, V. Reddy, S. Shakkottai, A. Sprintson and N. Gautam, Multipath Wireless Network Coding: An Augmented Potential Game Perspective, To appear in IEEE/ACM Transactions on Networking. V. Ramaswamy, D. Choudhury, and S. Shakkottai, Which Protocol? Mutual Interaction of Heterogeneous Congestion Controllers, To appear in IEEE/ACM Transactions on Networking. S. Shakkottai, R. Srikant and L. Ying, The asymptotic behavior of minimum buffer size requirements in large P2P streaming networks, in IEEE Journal on Selected Areas in Communication, Vol. 29, Issue 5, May 2011. P. Parag, S. Sah, S. Shakkottai, and J-F. Chamberland, Value-Aware Resource Allocation for Service Guarantees in networks, in IEEE Journal on Selected Areas in Communication, Vol. 29, Issue 5, May 2011. A. ParandehGheibi, M. Medard, A. Ozdaglar and S. Shakkottai, Avoiding Interruptions a QoE Reliability Function for Streaming Media Applications, in IEEE Journal on Selected Areas in Communication, Volume 29, Issue 5, May 2011. S. Shakkottai, X. Liu and R. Srikant, The Multicast Capacity of Large Multihop Wireless Networks, in IEEE/ACM Transactions on Networking, Volume 18, Issue 6, December 2010. S. Shakkottai, L. Ying and S. Sah, Targeted Coupon Distribution Using Social Networks, In Performance Evaluation Review, Vol. 38, Issue 3, December 2010. S. Shakkottai and R. Johari, Demand-Aware Content Distribution on the Internet, in IEEE/ACM Transactions on Networking, Volume 18, Issue 2, April 2010. S. Shakkottai, M. Fomenkov, R. Koga, D. Krioukov and K.C. Claffy, Evolution of the Internet AS-level Ecosystem, in the European Journal of Physics B (Condensed Matter and Complex Systems), Volume 74, Number 2, March 2010. S. Shakkottai, R. Srikant, A. Ozdaglar and D. Acemoglu, The Price of Simplicity, in IEEE Journal on Selected Areas in Communication, Game Theory in Communication Systems, Volume 26, Issue 7, September 2008. Google Scholar Profile : diff --git a/src/data/compiled_bios/2957.txt b/src/data/compiled_bios/2957.txt new file mode 100644 index 0000000000..d916a6e59c --- /dev/null +++ b/src/data/compiled_bios/2957.txt @@ -0,0 +1 @@ + Assistant Professor Phone: 979-862-1694 FAX: 979-845-6259 Email: yshen@tamu.edu Office: WEB 215I Website: Personal Website Google Scholar Profile Educational Background Ph.D., Systems Engineering, Boston University, 2008 B.E., Automation, University of Science and Technology of China, 2002 Research Interests Algorithms for modeling biological molecules, systems, and data. Algorithms: Optimization and machine learning Systems and control Applications: Protein docking and protein & drug design Systems and synthetic biology Omics Awards & Honors Maximizing Investigators' Research Award (MIRA) for Early Stage Investigators, National Institute of General Medical Sciences, National Institutes of Health, 2017 Selected Publications Predicting Protein Conformational Changes for Unbound and Homology Docking: Learning from Intrinsic and Induced Flexibility, H Chen, Y Sun, and Y Shen, Proteins: Structure, Function, and Bioinformatics 85(3), 544-556, 2017 cNMA: A Framework of Encounter Complex-based Normal Mode Analysis to Model Conformational Changes in Protein Interactions, T Oliwa and Y Shen, Bioinformatics 31(12), i151i160, 2015 ESR1 Ligand-Binding Domain Mutations in Hormone-Resistant Breast Cancer", W Toy, Y Shen, H Won, B Green, RA Sakr, M Will, Z Li, K Gala, S Fanning et. al.,Nature Genetics 45(12), 14391445, 2013 Improved Flexible Refinement of Protein Docking in CAPRI rounds 2227", Y Shen, Proteins: Structure, Function, and Bioinformatics 81(12), 21292136, 2013 Overcoming Mutation-Based Resistance to Antiandrogens with Rational Drug Design", MD Balbas, MJ Evans, DJ Hosfield, J Wongvipat, VK Arora, PA Watson et. al., eLife 2, e00499, 2013 Charge Optimization Theory for Induced-Fit Ligands", Y Shen, MK Gilson, B Tidor, Journal of Chemical Theory and Computation 8(11), 4580-4592, 2012 Google Scholar Profile : diff --git a/src/data/compiled_bios/2958.txt b/src/data/compiled_bios/2958.txt new file mode 100644 index 0000000000..6047b71a46 --- /dev/null +++ b/src/data/compiled_bios/2958.txt @@ -0,0 +1 @@ + Professor Phone: 979-845-3820 FAX: 979-845-2630 Email: wshi@tamu.edu Office: WEB 333K Website: Research Website Google Scholar Profile Educational Background Ph.D. University of Illinois, Urbana-Champaign MS Xian Jiaotong University, China BS Xian Jiaotong University, China Research Interests His research interests include computer-aided design of Very Large Scale Integration (VLSI) CAD, including physical design, parasitic extraction, fault diagnosis, variational analysis and process synthesis. Awards & Honors IBM Faculty Award Best Paper Award, Design Automation Conference Best Paper Award, Asia and South Pacific Design Automation Conference IEEE Fellow Selected Publications W. Shi, J. Liu, N. Kakani and T. Yu, A fast hierarchical algorithm for 3-D capacitance extraction, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Vol. 21, No. 3, March 2002, pp. 330-336. W. Shi and Z. Li, A fast algorithm for optimal buffer insertion, IEEE Transactions on Computer- Aided Design of Integrated Circuits and Systems, Vol. 24, No. 6, June 2005, pp. 879-891. X. Lu, Z. Li, W. Qiu, H. Walker, and W. Shi, Longest path selection for delay test under process variation, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, Vol. 24, No. 12, Dec. 2005, pp. 1924-1929. W. Shi and C. Su, The rectilinear Steiner arborescence problem is NP-complete, SIAM Journal on Computing, Vol. 35, No. 3, 2006, pp. 729-740. Google Scholar Profile : diff --git a/src/data/compiled_bios/2959.txt b/src/data/compiled_bios/2959.txt new file mode 100644 index 0000000000..d50834831a --- /dev/null +++ b/src/data/compiled_bios/2959.txt @@ -0,0 +1 @@ + TI Professorship I in Analog Engineering Phone: 979-845-7477 FAX: 979-845-7961 Email: jose-silva-martinez@tamu.edu Office: WEB 318B Website: Personal webpage Google Scholar Profile Educational Background Ph.D., The Katholieke Universiteit Leuven, Belgium M.Sc, The Instituto Nacional de Astrofisica, Optica y Electronica (INAOE), 1981 B.S., Universidad Autonoma de Puebla, Mexico, 1979 Research Interests Design and fabrication of integrated circuits for communication and biomedical applications Awards & Honors IEEE Fellow Served as chairman and member of the technical committee of ISCAS-96 and MWCAS-95 Co-recipient of the 1990 European Solid-State Circuits Conference best paper award Google Scholar Profile : diff --git a/src/data/compiled_bios/296.txt b/src/data/compiled_bios/296.txt new file mode 100644 index 0000000000..b32087cedd --- /dev/null +++ b/src/data/compiled_bios/296.txt @@ -0,0 +1 @@ + Hongxin Hu Assistant Professor Deans Faculty Fellow of Computer Science School of Computing Clemson University Clemson, SC 29634 Office: McAdams 217 Email: hongxih@clemson.edu Quick Links: [ Bio ( CV )| Research | Publications | Teams | Teaching | Funding | Awards | Services ] News 02/2019 [Award]: I have received a prestigious NSF CAREER Award for our work on network security function virtualization. 11/2018 [Paper]: Our paper "Octans: Optimal Placement of Service Function Chains in Many-Core Systemss" has been accepted to INFOCOM 2019 . 10/2018 [Workshop]: Please consider submiting your work on SDN and NFV security to SDN-NFV Security 2019 . 9/2018 [Award]: Congrats to my PhD students Hongda Li and Nishant Vishwamitra for receiving the Talford Annual Fellowship awards . 08/2018 [Competition]: Our work PAM won the First Place in SIGCOMM 2018 Student Research Competition ( SRC ) . 07/2018 [Paper]: Two papers have been accepted to CCS 2018 . One paper presents IoTMon to support the safe control of IoT device interactions. The other paper proposes vNIDS to enable the safe and efficient virtualization of NIDSes. Both papers are first-authored by my PhD students. They have been featured on Clemson CECAS News . 07/2018 [PC Memeber]: I was invited to serve on the program committee of WWW 2019 . 07/2018 [Paper]: Our paper "Grus: Enabling Latency SLOs for GPU-Accelerated NFV Systems" has been accepted to ICNP 2018 . 03/2018 [PC Memeber]: I was invited to serve on the program committee of ACSAC 2018 . 01/2018 [ Best Paper Award ]: Our paper "Enhancing Security Education Through Designing SDN Security Labs in CloudLab" was selected as one of the best papers for SIGCSE 2018 . 08/2017 [Paper]: Our paper "Effectiveness and Users' Experience of Obfuscation as a Privacy-Enhancing Technology for Sharing Photos" has been accepted to CSCW 2018 . 8/2017 [PC Memeber]: I was invited to serve on the program committee of ASIACCS 2018 . 07/2017 [Paper]: Our paper "SDPA: Towards a Stateful Data Plane in Software-Defined Networking" has been accepted to IEEE/ACM TON . 05/2017 [Paper]: Our paper "NFP: Enabling Network Function Parallelism in NFV" has been accepted to SIGCOMM 2017 . 05/2017 [Special Issue]: Please consider submiting your work on SDN and NFV security to TDSC Special Issue on Security in Emerging Networking Technologies . 03/2017 [Talk]: I was invited to give a talk on NFV Security at NFV World Congress 2017 . 01/2017 [Award]: I recieved CECAS Dean's Faculty Follows Award. 10/2016 [Paper]: Our paper "On the Safety and Efficiency of Virtual Firewall Elasticity Control" has been accepted to NDSS 2017 . This research has been featured on Clemson CECAS News . 09/2016 [Panel]: I was invited to serve on the SDN Security panel at IEEE CNS 2016 . 06/2016 [ Best Paper Honorable Mention ]: Our paper "Enabling Dynamic Access Control for Controller Applications in Software-Defined Networks" received the Best Paper Award Honorable Mention at SACMAT 2016 . 11/2015 [ Best Paper Nominee ]: Our paper "SDPA: Enhancing Stateful Forwarding for Software-Defined Networking" has been nominated for Best Paper Award at ICNP 2015 . 10/2015 [Paper/Award]: Our paper "Morpheus: Automatically Generating Heuristics to Detect Android Emulators" has been selected as one of the top-10 Finalists for CSAW2015 Best Applied Security Paper Award ( CSAW 2015 Research ). 09/2015 [ Frontpage News ]: Our anti-cyberbullying research made the front page of the Post and Courier. 08/2015 [ News Coverage ]: Our research on the Visual Cyberbullying Defense has been reported by Clemson News , Clemson TV , Independent Mail , The Post and Courier , Greenville (SC) News , WSPA-TV , WHNS-TV , WLOS , WYFF4 , etc. 06/2015 [Competition]: Our team "FLOWGUARD" won the third place in the first annual Extreme SDN Innovation Challenge . More news... Bio ( CV ) I am an assistant professor and Dean's faculty fellow ofcomputer science in the School of Computing at Clemson University . I received my Ph.D. degree in Computer Science and Engineering from Arizona State University (ASU) . I was one of the founding members of the Laboratory of Security Engineering for Future Computing ( SEFCOM ) at ASU. My primary research interests are in computer security and privacy. My research has been funded by NSF (SaTC, CNS, IIS, OAC, and DGE ), USDOT , VMware, Amazon, Dell, etc. I received the NSF CAREER Award in 2019. I am the recipient of the Best Paper Awards from ACM SIGCSE 2018 and ACM CODASPY 2014, and the Best Paper Award Honorable Mentions from ACM SACMAT 2016, IEEE ICNP 2015, and ACM SACMAT 2011. My research has won the First Place in ACM SIGCOMM 2018 SRC . My research has also been featured by the IEEE Special Technical Community on Social Networking and received wide press coverage including ACM TechNews, InformationWeek, Slashdot, NetworkWorld, etc. Research Interests Software Defined Programmable Security (NFV, SDN, and SDI Security) vNIDS [ CCS'18 ], Grus [ INFOCOM'19 ], Grus [ ICNP'18 ], PAM [ SIGCOMM'18 SRC ], VFW Controller [ NDSS'17 ], NFP [ SIGCOMM'17 ], AEGIS [ SACMAT'16 ], StateMon [ SACMAT'16 ], SDPA [ ICNP'15 ], FlowGuard [ HotSDN'14 ], etc. Security and Privacy in Internet of Things IoTMon [ CCS'18 ], etc. Security and Privacy in Social Networks PETSP [ CSCW'18 ], PMAC [ SACMAT'17 ], GTA [ SACMAT'14 ], MPAC [ TKDE'13 ], SocialImpact [ ESORICS'12 ], Retinue [ ACSAC'11 ], etc. Machine Learning for Security and Privacy IoTMon [ CCS'18 ], CrescendoNet [ ICMLA'18 ], PCNN [ ICMLA'16 ], etc. Usable Privacy and Security PETSP [ CSCW'18 ], PGA [ USENIX Security'13 ], etc. Security in Edge Computing, Cloud Cmputing, and Mobile Computing Morpheus [ ACSAC'14 ], RiskMon [ CODASPY'14 ], CBE [ CODASPY'12 ], CRBAC [ ASIACCS'10 ], DR@FT [ ESORICS'10 ], etc. Selected Publications [ Google Scholar ] [ All Publications ] Selected Conference/Workshop Publications : Octans: Optimal Placement of Service Function Chains in Many-Core Systems Zhilong Zheng, Jun Bi, Heng Yu, Haiping Wang, Chen Sun, Hongxin Hu and Jianping Wu In Proceedings of the 37th IEEE International Conference on Computer Communications ( INFOCOM 2019 ) , Paris, France, April 29-May 2, 2019. Acceptance rate: 288/1464 = 19.7% On the Safety of IoT Device Physical Interaction Control [ PDF ] Wenbo Ding and Hongxin Hu In Proceedings of the 25th ACM Conference on Computer and Communications Security ( CCS 2018 ) , Toronto, Canada, October 15-19, 2018. Acceptance rate: 134/809 = 16.6% Featured on Clemson CECAS News vNIDS: Towards Elastic Security with Safe and Efficient Virtualization of Network Intrusion Detection Systems [ PDF ] [ PPT ] Hongda Li, Hongxin Hu, Guofei Gu, Gail-Joon Ahn and Fuqiang Zhang In Proceedings of the 25th ACM Conference on Computer and Communications Security ( CCS 2018 ) , Toronto, Canada, October 15-19, 2018. Acceptance rate: 134/809 = 16.6% Featured on Clemson CECAS News Effectiveness and Users' Experience of Obfuscation as a Privacy-Enhancing Technology for Sharing Photos [ PDF ] Yifang Li, Nishant Vishwamitra, Bart P. Knijnenburg, Hongxin Hu and Kelly Caine In Proceedings of the 21st ACM Conference on Computer-Supported Cooperative Work and Social Computing ( CSCW 2018 ) , Jersey City, NJ, USA, November 3-7, 2018. Acceptance rate: 105/384 = 27.3% Grus: Enabling Latency SLOs for GPU-Accelerated NFV Systems [ PDF ] Zhilong Zheng, Jun Bi, Haiping Wang, Chen Sun, Heng Yu, Hongxin Hu, Kai Gao and Jianping Wu In Proceedings of the 26th IEEE International Conference on Network Protocols ( ICNP 2018 ) , Cambridge, UK, September 24-27, 2018. Acceptance rate: 35/196 = 17.9% PAM: When Overloaded, Push Your Neighbor Aside! [ PDF ] Zili Meng, Jun Bi, Chen Sun, Shuhe Wang, Minhu Wang and Hongxin Hu In Proceedings of the ACM SIGCOMM 2018 Conference on Posters and Demos , Budapest, Hungary, August 20-25, 2018. First Place in SIGCOMM 2018 SRC OFM: Optimized Flow Migration for NFV Elasticity Control [ PDF ] Chen Sun, Jun Bi, Zili Meng, Xiao Zhang and Hongxin Hu In Proceedings of the 26th IEEE/ACM International Symposium on Quality of Service ( IWQoS 2018 ) , Banff, Alberta, Canada, June 4-6, 2018. Acceptance rate (full paper): 26/125 = 20.8% Enhancing Security Education Through Designing SDN Security Labs in CloudLab [ PDF ] Younghee Park, Hongxin Hu, Xiaohong Yuan and Hongda Li In Proceedings of the 49th ACM Technical Symposium on Computer Science Education ( SIGCSE 2018 ) , Baltimore, Maryland, USA, February 21-24, 2018. Best Paper Award Building a Security OS with Software Defined Infrastructure [ PDF ] Guofei Gu, Hongxin Hu, Eric Keller, Zhiqiang Lin and Donald Porter In Proceedings of the 8th ACM SIGOPS Asia-Pacific Workshop on Systems ( APSys 2017 ) , IIT, Bombay, Indian, September 2-3, 2017. NFP: Enabling Network Function Parallelism in NFV [ PDF ] [ PPT ] Chen Sun, Jun Bi, Zhilong Zheng, Heng Yu and Hongxin Hu In Proceedings of the ACM SIGCOMM Conference ( SIGCOMM 2017 ) , Los Angeles, CA, USA, August 21-25, 2017. Acceptance rate: 36/250 = 14.4% Towards PII-based Multiparty Access Control for Photo Sharing in Online Social Networks [ PDF ] Nishant Vishwamitra, Yifang Li, Kevin Wang, Hongxin Hu, Kelly Caine and Gail-Joon Ahn In Proceedings of the 22nd ACM Symposium on Access Control Models And Technologies ( SACMAT 2017 ) , Indianapolis, IN, USA, June 21-23, 2017. Acceptance rate: 14/50 = 28.0% On the Safety and Efficiency of Virtual Firewall Elasticity Control [ PDF ] Juan Deng*, Hongda Li*, Hongxin Hu, Kuang-Ching Wang, Gail-Joon Ahn, Ziming Zhao and Wonkyu Han In Proceedings of the 24th Network and Distributed System Security Symposium ( NDSS 2017 ) , San Diego, CA, USA, February 26 - March 1, 2017 (*co-first author) Acceptance rate: 68/423 = 16.1% Featured on Clemson CECAS News HetSDN: Exploiting SDN for Intelligent Network Usage in Heterogeneous Wireless Networks [ PDF ] Kang Chen, Ryan Izard, Hongxin Hu, Kuangching Wang and James Martin In Proceedings of 2016 IEEE/ACM International Symposium on Quality of Service ( IWQoS 2016 ) , Beijing, China, June 20-21, 2016. Enabling Dynamic Access Control for Controller Applications in Software-Defined Networks [ PDF ] Hitesh Padekar, Younghee Park, Hongxin Hu and Sang-Yoon Chang In Proceedings of the 21st ACM Symposium on Access Control Models And Technologies ( SACMAT 2016 ) , Shanghai, China, June 5-8, 2016. Best Paper Honorable Mention State-aware Network Access Management for Software-Defined Networks [ PDF ] Wonkyu Han, Hongxin Hu, Ziming Zhao, Adam Doup, Gail-Joon Ahn, Kuang-Ching Wang and Juan Deng In Proceedings of the 21st ACM Symposium on Access Control Models And Technologies ( SACMAT 2016 ) , Shanghai, China, June 5-8, 2016. SDPA: Enhancing Stateful Forwarding for Software-Defined Networking [ PDF ] Shuyong Zhu, Jun Bi, Chen Sun, Chenghui Wu and Hongxin Hu In Proceedings of the 23rd IEEE International Conference on Network Protocols ( ICNP 2015 ) , San Francisco, CA, USA, November 10-13, 2015. Acceptance rate: 38/187 = 20.3% Best Paper Nominee Morpheus: Automatically Generating Heuristics to Detect Android Emulators [ PDF ] [ Dataset ] Yiming Jing, Ziming Zhao, Gail-Joon Ahn and Hongxin Hu In Proceedings of the 30th Annual Computer Security Applications Conference ( ACSAC 2014 ) , New Orleans, LA, USA, December 8-12, 2014. Acceptance rate: 47/236 = 19.9% Finalist for CSAW2015 Best Applied Security Paper Award FlowGuard: Building Robust Firewalls for Software-Defined Networks [ PDF ] Hongxin Hu, Wonkyu Han, Gail-Joon Ahn and Ziming Zhao In Proceedings of ACM SIGCOMM Workshop on Hot Topics in Software Defined Networking ( HotSDN 2014 ) , Chicago, IL, USA, August 22, 2014. Acceptance rate (full paper with long presentation): 16/114 = 14.0% Winer of Extreme SDN Innovation Challenge ( Extreme Blog ) Game Theoretic Analysis of Multiparty Access Control in Online Social Networks [ PDF ] Hongxin Hu, Gail-Joon Ahn, Ziming Zhao and Dejun Yang In Proceedings of the 19th ACM Symposium on Access Control Models And Technologies ( SACMAT 2014 ) , London, Ontario, Canada, June 25-27, 2014. RiskMon: Continuous and Automated Risk Assessment of Mobile Applications [ PDF ] Yiming Jing, Gail-Joon Ahn, Ziming Zhao and Hongxin Hu In Proceedings of the 4th ACM Conference on Data and Application Security and Privacy ( CODASPY 2014 ) , San Antonio, Texas, USA, March 3-5, 2014. Acceptance rate (full paper): 19/119 = 16.0% Best Paper Award On the Security of Picture Gesture Authentication [ PDF ] Ziming Zhao, Gail-Joon Ahn, Jeong-Jin Seo and Hongxin Hu In Proceedings of the 22nd USENIX Security Symposium ( USENIX Security 2013 ) , Washington DC, August 14-16, 2013. Acceptance rate: 44/277 = 15.9% Media coverage: ACM TechNews , InformationWeek , WeLiveSecurity , NetworkWorld , SlashDot , TechEYE , ThreatPost , SoftPedia , TechRadar , TechJournal , TechDigest , ParityNews , NeoWin , WebRoot , NakedSecurity , SignalNetworks , MyPRGenie , TheRegister , cnBeta , Delaware Business Daily , The State Press , DSU News , etc SocialImpact: Systematic Analysis of Underground Social Dynamics [ PDF ] Ziming Zhao, Gail-Joon Ahn, Hongxin Hu and Deepinder Mahi In Proceedings of the 17th European Symposium on Research in Computer Security ( ESORICS 2012 ) , Pisa, Italy, September 10-14, 2012. Acceptance rate: 50/248 = 20.1% Comparison-Based Encryption for Fine-grained Access Control in Clouds [ PDF ] Yan Zhu, Hongxin Hu, Gail-Joon Ahn and Mengyan Yu In Proceedings of the 2nd ACM Conference on Data and Application Security and Privacy ( CODASPY 2012 ) , San Antonio, Texas, USA, February 7-9, 2012. Acceptance rate: 21/113 = 18.6% Towards Temporal Access Control in Cloud Computing [ PDF ] Yan Zhu, Hongxin Hu, Gail-Joon Ahn, Dijiang Huang and Shanbiao Wang In Proceedings of the 31st IEEE International Conference on Computer Communications ( INFOCOM 2012 ) , Mini-conference, Orlando, Florida, USA, March 25-30, 2012. Acceptance rate: 378/1547 = 24.4% Detecting and Resolving Privacy Conflicts for Collaborative Data Sharing in Online Social Networks [ PDF ] Hongxin Hu, Gail-Joon Ahn and Jan Jorgensen In Proceedings of the 27th Annual Computer Security Applications Conference ( ACSAC 2011 ) , Orlando, Florida, USA, December 5-9, 2011. Acceptance rate: 39/195 = 20.0% Anomaly Discovery and Resolution in Web Access Control Policies [ PDF ] Hongxin Hu, Gail-Joon Ahn and Ketan Kulkarni In Proceedings of the 16th ACM Symposium on Access Control Models And Technologies ( SACMAT 2011 ) , Innsbruck, Austria, June 15-17, 2011. Best Paper Nominee DR@FT: Efficient Remote Attestation Framework for Dynamic Systems [ PDF ] Wenjuan Xu, Gail-Joon Ahn, Hongxin Hu, Xinwen Zhang and Jean-Pierre Seifert In Proceedings of the 15th European Symposium on Research in Computer Security ( ESORICS 2010 ) , Athens, Greece, September 20-22, 2010. Acceptance rate: 42/201 = 20.8% Cryptographic Role-based Security Mechanisms based on Role-Key Hierarchy [ PDF ] Yan Zhu, Gail-Joon Ahn, Hongxin Hu and Huaixi Wang In Proceedings of the 5th ACM Symposium on Information, Computer and Communications Security ( ASIACCS 2010 ) , Beijing, China, April 13-16, 2010 . Acceptance rate: 35/166 = 21% Patient-centric Authorization Framework for Sharing Electronic Health Records [ PDF ] Jing Jin, Gail-Joon Ahn, Hongxin Hu, Michael Covington and Xinwen Zhang In Proceedings of the 14th ACM Symposium on Access Control Models And Technologies ( SACMAT 2009 ) , Stresa, Italy, June 3-5, 2009. Enabling Verification and Conformance Testing for Access Control Model [ PDF ] Hongxin Hu and Gail-Joon Ahn In Proceedings of the 13th ACM Symposium on Access Control Models And Technologies ( SACMAT 2008 ) , Estes Park, Colorado, USA, June 11-12, 2008. Acceptance rate: 20/79 = 25% Towards Realizing a Formal RBAC Model in Real Systems [ PDF ] Gail-Joon Ahn and Hongxin Hu In Proceedings of the 12th ACM Symposium on Access Control Models And Technologies ( SACMAT 2007 ) , Sophia Antipolis, France, June 20-22, 2007. Acceptance rate: 19/79 = 24% Selected Journal Publications : Tripod: Towards a Scalable, Efficient and Resilient Cloud Gateway Menghao Zhang, Jun Bi, Kai Gao, Yi Qiao, Guanyu Li, Xiao Kong, Zhaogeng Li and Hongxin Hu IEEE Journal of Selected Areas in Communications ( JSAC ), Special Issue on Network Softwarization & Enablers, 2019. Enabling NFV Elasticity Control with Optimized Flow Migration Chen Sun, Jun Bi, Zili Meng, Tong Yang, Xiao Zhang and Hongxin Hu IEEE Journal of Selected Areas in Communications ( JSAC ), Special Issue on Network Softwarization & Enablers, 2018. HYPER: A Hybrid High-Performance Framework for Network Function Virtualization Chen Sun, Jun Bi, Zhilong Zheng and Hongxin Hu IEEE Journal of Selected Areas in Communications ( JSAC ), Special Issue on Emerging Technologies in Software-driven Communication, Vol. 35, No. 11, 2017. SDPA: Towards a Stateful Data Plane in Software-Defined Networking Chen Sun, Jun Bi, Haoxian Chen, Hongxin Hu, Zhilong Zheng, Shuyong Zhu and Chenghui Wu IEEE/ACM Transactions on Networking ( TON ), Vol. 25, No. 6, December, 2017. Supporting Virtualized Network Functions with Stateful Data Plane Abstraction Jun Bi, Shuyong Zhu, Guang Yao, Chen Sun and Hongxin Hu IEEE Network , Vol. 30, No. 3, 2016. Mules, Seals, and Attacking Tools: Analyzing Twelve Online Marketplaces Ziming Zhao, Mukund Sankaran, Gail-Joon Ahn, Tom Holt, Yiming Jing and Hongxin Hu IEEE Security & Privacy , Vol. 14, No. 3, 2016. Picture Gesture Authentication: Empirical Analysis, Automated Attacks, and Scheme Evaluation [ PDF ] Ziming Zhao, Gail-Joon Ahn and Hongxin Hu ACM Transactions on Information and System Security ( TISSEC ), Vol. 17, No. 4, April, 2015. Towards Automated Risk Assessment and Mitigation of Mobile Applications [ PDF ] Yiming Jing, Gail-Joon Ahn, Ziming Zhao and Hongxin Hu IEEE Transactions on Dependable and Secure Computing ( TDSC ), Vol. 12, No. 5, November/December, 2015. Selected as the spotlight paper of the issue ( screen shot ) Role-Based Cryptosystem: A New Cryptographic RBAC System Based on Role-Key Hierarchy [ PDF ] Yan Zhu, Gail-Joon Ahn, Hongxin Hu, Di Ma and Shanbiao Wang IEEE Transactions on Information Forensics & Security ( TIFS ), Vol. 8, No. 12, December, 2013. Discovery and Resolution of Anomalies in Web Access Control Policies [ PDF ] Hongxin Hu, Gail-Jooh Ahn and Ketan Kulkarni IEEE Transactions on Dependable and Secure Computing ( TDSC ), Vol. 10, No. 6, November/December, 2013. Selected as the spotlight paper of the issue ( screen shot ) Multiparty Access Control for Online Social Networks: Model and Mechanisms [ PDF ] Hongxin Hu, Gail-Joon Ahn and Jan Jorgensen IEEE Transactions on Knowledge and Data Engineering ( TKDE ), Vol. 25, No. 7, July, 2013. Featured by the IEEE Special Technical Community on Social Networking ( respective post ) Dynamic Audit Services for Outsourced Storages in Clouds [ PDF ] Yan Zhu, Gail-Joon Ahn, Hongxin Hu, Stephen S. Yau, Ho G. An and Shimin Chen IEEE Transactions on Services Computing ( TSC ), Vol. 6, No. 2, April / June, 2013. Cooperative Provable Data Possession for Integrity Verification in Multi-Cloud Storage [ PDF ] Yan Zhu, Hongxin Hu, Gail-Joon Ahn and Mengyang Yu IEEE Transactions on Parallel and Distributed Systems ( TPDS ), Vol. 23, No. 12, December, 2012. Detecting and Resolving Firewall Policy Anomalies [ PDF ] Hongxin Hu, Gail-Jooh Ahn and Ketan Kulkarni IEEE Transactions on Dependable and Secure Computing ( TDSC ), Vol. 9, No. 3, May/June 2012. Remote Attestation with Domain-based Integrity Model and Policy Analysis [ PDF ] Wenjuan Xu, Xinwen Zhang, Hongxin Hu, Gail-Joon Ahn and Jean-Pierre Seifert IEEE Transactions on Dependable and Secure Computing ( TDSC ), Vol. 9, No. 3, May/June 2012. Risk-Aware Mitigation for MANET Routing Attacks [ PDF ] Ziming Zhao, Hongxin Hu, Gail-Joon Ahn and Ruoyu Wu IEEE Transactions on Dependable and Secure Computing ( TDSC ), Vov. 9, No. 2, March/April 2012. Constructing Authorization Systems Using Assurance Management Framework [ PDF ] Hongxin Hu and Gail-Joon Ahn IEEE Transactions on Systems, Man, and Cybernetics ( TSMC ), Part C, Special Issue on Availability, Reliability, and Security, Vol. 40, No. 4, July, 2010 . Acceptance rate for the special issue: 6/70 = 8.6% Security-enhanced OSGi Service Environments [ PDF ] Gail-Joon Ahn, Hongxin Hu and Jing Jin IEEE Transactions on Systems, Man, and Cybernetics ( TSMC ), Part C, Vol. 39, No. 5, September, 2009. Teaching Spring 2019: CPSC 8570 - Security in Advanced Networking Technologies Fall 2018: CPSC 8580 - Security in Emerging Computing and Networking Systems Fall 2018: CPSC-4200/6200 - Computer Security Principles Spring 2018: CPSC 8580 - Security in Emerging Computing and Networking Systems Fall 2017: CPSC-4200/6200 - Computer Security Principles Spring 2017: CPSC 8570 - Security in Advanced Networking Technologies Fall 2016: CPSC-4200/6200 - Computer Security Principles Fall 2016: CPSC 8580 - Security in Emerging Computing and Networking Systems Spring 2016: CPSC 8810 - Advanced Networking and Security Fall 2015: CPSC-4200/6200 - Computer Security Principles Spring 2015: CPSC 8810 - Advanced Networking and Security Fall 2014: CPSC 8810 - Security in Emerging Computing and Networking Systems Awards and Recognition NSF CAREER Award, 2019 First Place, ACM SIGCOMM SRC, 2018 Best Paper Award, ACM SIGCSE, 2018 Dean's Faculty Fellows Award, CECAS, Clemson University, 2017 Best Paper Award Honorable Mention, ACM SACMAT, 2016 Best Paper Award Nominee, IEEE ICNP, 2015 Best Applied Security Paper Award TOP-10 Finalist, SCAW, 2015 Front Page News, Post and Courier, 2015 Third Place, Extreme SDN Innovation Challenge, 2015 Best Paper Award, ACM CODASPY, 2014 Featured Article, IEEE Special Technical Community on Social Networking (STCSN), 2013 NSF Travel Grant, NSF CAREER Workshop, 2013 Outstanding Ph.D. Student Finalist in Compter Science, ASU, 2012 ACSAC Conferenceship Award, ACSAC, 2011 Best Paper Award Nominee, ACM SACMAT, 2011 Applied Security Research Best Paper Award Nominee, CSAW AT&T, 2011 IBM PhD Fellowship Nominee, UNCC, 2008 Professional Activities Associate Editor: Cybersecurity & Privacy . Frontiers in Big Data, 2018 - Present Guest Editor: Special Issue of Security in Emerging Networking Technologies . IEEE Transactions on Dependable and Secure Computing (TDSC), 2017/2018 Special Issue of NFV Technologies. China Communications, 2018 Special Issue of Adaptive Mobile Crowd Sensing Security for BYOD Convergence in Mobile Creative Research . Mobile Information System, 2016 Special Issue of Security & Privacy Mechanisms for Sensor Middleware and Application in Internet of Things (IoT) . International Journal of Distributed Sensor Networks, 2015 Special Issue of TrustCol2014. EAI Endorsed Transactions on Collaborative Computing , 2015 Program Chair: TPC Co-Chair: ACM International Workshop on Security in Software Defined Networks & Network Function Virtualization (SDN-NFV Security), 2016, 2017, 2018, 2019 TPC Co-Chair: IEEE International Workshop on Trusted Collaboration (TrustCol), 2014, 2015, 2016 TPC Co-Chair: IEEE International Workshop Big Data Security and Services (BigDataService), 2017, 2018 Poster Chair: ACM Conference on Data and Application Security and Privacy (CODASPY), 2018, 2019 Proceedings Chair: ACM Conference on Data and Application Security and Privacy (CODASPY), 2017 ACM Symposium on Access Control Models and Technologies (SACMAT), 2014, 2016, 2017, 2018, 2019 Publicity Chair: ACM Symposium on Access Control Models and Technologies (SACMAT), 2015 Session Chair: ACM Conference on Data and Application Security and Privacy (CODASPY), 2018 ACM Symposium on Access Control Models and Technologies (SACMAT), 2017 ACM Conference on Computer and Communications Security (CCS), 2014 IEEE International Workshop on Trusted Collaboration (TrustCol), 2011 Web Chair: ACM Conference on Computer and Communications Security (CCS), 2014 Technical Program Committee: The Web Conference (WWW), 2019 IFIP Networking Conference (NETWORKING), 2019 Annual Computer Security Applications Conference (ACSAC), 2018 ACM Symposium on Information, Computer and Communications Security (ASIACCS), 2018 ACM Conference on Data and Application Security and Privacy (CODASPY), 2018 ACM Symposium on Access ControlModels and Technologies (SACMAT), 2013, 2014, 2015, 2018, 2019 IEEE Conference on Communications and Network Security (CNS), 2017, 2018, 2019 International Conference on Information and Communications Security (ICICS), 2018 International Conference on Privacy, Security and Trust (PST), 2017, 2018, 2019 IEEE International Conference on Computer Communications and Networks (ICCCN), 2015, 2016, 2017, 2018, 2019 ACM SIGCOMM Workshop on Security in Softwarized Networks: Prospects and Challenges (SecSoN), 2018 ACM SIGCOMM Workshop on Internet of Things Security and Privacy (IoT S&P), 2018 ACM Symposium on Applied Computing (SAC), Internet of Things (IoT) track, 2018, 2019 IEEE International Conference on Cloud Networking (CloudNet), 2018 ACM CCS Workshop on Internet of Things Security and Privacy (IoT S&P), 2017 ACM International Workshop on Multimedia Privacy and Security (MPS), 2017, 2018 IEEE INFOCOM CrossCloud Workshop (CrossCloud), 2014, 2016, 2017, 2018 IEEE International Conference on Parallel and Distributed Systems (ICPADS), 2016 IEEE Global Communications Conference (GLOBECOM), 2015 IEEE International Conference on Advanced and Trusted Computing (ATC), 2016, 2017 International Conference on Computing and Network Communications (CoCoNet), 2015 Workshop on ActionLanguages, Process Modeling, and Policy Reasoning (ALPP), 2015 IEEE ICNP CoolSDN Workshop (CoolSDN), 2014, 2015, 2016 International Workshop on Access Control Policies, Models and Mechanisms (ACPM), 2014 IEEE International Workshop on Trusted Collaboration (TrustCol), 2013 International Symposium on Cyberspace Safety and Security (CSS), 2013 International Conference on Mobile, Ubiquitous, and Intelligent Computing (MUSIC), 2013 FTRA International Symposium on Advances in Cryptography, Security and Applications for Future Computing (ACSA-Summer), 2012 Conference Paper Reviewer: ACM Conference on Computer and Communications Security (CCS), 2005-2007, 2013, 2016, 2017, 2018 ACM CHI Conference on Human Factors in Computing Systems (CHI), 2018 ACM Symposium on Access Control Models And Technologies (SACMAT), 2005- 2013 ACM Conference on Data and Application Security and Privacy (CODASPY), 2011 - 2013 International World Wide Web Conferences (WWW)--Security and Privacy Track, 2009-2011 ACM Symposium on Applied Computing (SAC)--Computer Security Track. 2006-2011 ACM Symposium on Information, Computer and Communications Security (AsiaCCS), 2006-2008 Journal Paper Reviewer: ACM Transactions on Privacy and Security ACM Transactions on Information and System Security ACM Transactions on Software Engineering and Methodology ACM Transactions on Internet Technology IEEE Transactions on Dependable and Secure Computing IEEE Transactions on Knowledge and Data Engineering IEEE/ACM Transactions on Networking IEEE Transactions on Information Forensics and Security IEEE Transactions on Services Computing IEEE Transactions on Network and Service Management IEEE Internet Computing Journal of Computer Security Computers & Security Security and Communication Networks IBM Journal of Research and Development International Journal of Information Security International Journal of Network Management Journal of Systems and Software Journal of Data & Knowledge Engineering Journal of Biomedical Informatics Journal of Organizational Computing and Electronic Commerce International Journal of Computer Systems Science and Engineering Security and Communication Networks IET Information Security Wireless Networks Cluster Computing Sensors Journal of Network and Computer Applications Journal of Computer Science and Technology diff --git a/src/data/compiled_bios/2960.txt b/src/data/compiled_bios/2960.txt new file mode 100644 index 0000000000..510fd69952 --- /dev/null +++ b/src/data/compiled_bios/2960.txt @@ -0,0 +1 @@ + Regents Professor Irma Runyon Chair Professor Member, National Academy of Engineering Phone: 979-845-7589 FAX: 979-845-6259 Email: singh@ece.tamu.edu Office: WEB 320C Website: Personal Website Google Scholar Profile Educational Background Ph.D., Electrical Engineering, University of Saskatchewan, Canada. MS, Electrical Engineering, University of Saskatchewan, Canada. B.S. (Honors), Electrical Engineering, Punjab Engineering College, Chandigarh, India. Research Interests Reliability and Security of Electric Power Systems Theory and Applications of System Reliability Integration of Renewable Energy Sources Reliability of Cyber-Physical Systems Awards & Honors Member, Academy of Medicine, Engineering and Science of Texas. IEEE-PES Technical Committee Prize paper Award for Non-Sequential Monte Carlo Simulation for Cyber-Induced Dependent Failures in Composite Power System Reliability Evaluation, (Co-recipient with my former student Hangtian Lei), 2018. IEEE-PES Technical Committee Prize Paper Award for the Transactions paper, "Generating Capacity Reliability Evaluation Based on Monte Carlo Simulation and Cross-Entropy Methods." (Co-recipient with Brazilian colleagues Armando Leite da Silva and Reinaldo Fernandez), 2011. Inaugural recipient of IEEE-PES Roy Billinton Power System Reliability Award, for Contributions to the methodological developments, education and practice of power system reliability evaluation, 2010. Guest Professor, Tsinghua University, Department of Electrical Engineering (State Key laboratory of the Control and Simulation of Power System and Generation Equipment ), April, 2010-2015. PMAPS Merit Award 2008 Lifelong achievement award by the Probabilistic Methods Applied to Power Systems International Society (PMAPS), for developing probabilistic methods for power systems. IEEE Power Engineering Society, Electric Delivery System Reliability Tutorial Award, 2007. IEEE Power Engineering Society, Outstanding Power Engineering Educator Award, 1998 for Innovative Leadership in Power Engineering Education. Doctor of Science, For research contributions", by the University of Saskatchewan, Canada, May 1997 IEEE-PES Outstanding Working Group Award 1997. IEEE-PES Technical Committee Prize Paper Award for Pooling Generating Unit Data for Improved Estimates of Performance Indices, 1997. Elected Fellow of IEEE for "Contributions to Theory and Applications of Quantitative Reliability Methods in Electric Power Systems, 1991. Ross Medal of the Engineering Institute of Canada for the best Electrical Engineering paper for 1972, "The Frequency and Duration Method of Generating Capacity Reliability Evaluation'', Transactions of EIC, Vol. 15, No. C-1, March 1972. Gold Medal of the Punjab University for being the overall top most student amongst all branches of engineering and in all affiliated colleges in the graduating class. Gold Medal of the Punjab Engineering College, for the top-most student in Electrical Engineering. Outstanding ECEN Professor, 2017 Distinguished Electrical Engineering Professor, Institute of Electrical and Electronics Engineers (IEEE) Student Chapter, 2004. This was a special award by the student chapter given for the first time. Appointed to J.W. Runyon, Jr. 35 Professorship II Named Texas A&M System Regents Professor, Texas A&M System, December 2001. Awarded the AFS, University Level Distinguished Award in Research (Highest university award in research), TAMU, 1997. Dresser Professorship, for excellence in research and education 1992-1993. Halliburton Professorship for excellence in research and education, 1986-1987. Senior TEES Fellow, for excellence in research 1989-present. TEES Fellow, for excellence in research 1987-89. Selected Publications Population-based intelligent search in reliability evaluation of generation systems with wind power penetration, L. F. Wang, IEEE Transactions on Power Systems, Vol. 23, No. 3, August, 2008, pp. 1336-1345. Reliability Constrained Multi-Area Adequacy Planning Using Stochastic Programming with Sample-Average Approximations, Panida Jirutitijaroen ,IEEE Transactions on Power Systems, VOL. 23, NO. 2, MAY 2008 Composite Reliability Evaluation Using Monte Carlo Simulation and Least Squares Support Vector Classifier, N. M. Pindoriya, P. Jirutitijaroen, D. Srinivasan, IEEE Transactions on Power Systems, IEEE Transactions on Power Systems, . Vol: 26 , Issue: 4 ,pp: 2483 - 2490 , Nov 2011.. A Methodology for Evaluation of Hurricane Impact on Composite power System Reliability, Y. Liu, IEEE Transactions on Power Systems, vol 26, No.1, Feb 2011. Wind Farm Diversification and its Benefits for Power System Reliability, Yannick Degeilh, International Journal on electrical Power and Energy Systems, vol 33,issue 2, Feb 2011 Reliability Evaluation of Composite Power Systems Using Markov Cut-Set Method, Yong Liu, IEEE Transactions on Power Systems, vol 25,no.2, may 2010. Generating Capacity Reliability Evaluation based on Monte Carlo Simulation and Cross- Entropy Method,Armando Lete da Silva,reinlado Fernandes,IEEE Transactions on Power Systems, vol 25, Feb 2010. Power System Reliability Evaluation Considering Cyber-malfunctions in Substations, Hangtian Lei, Electrical Power Systems Research, vol 129, December 2015, pp 160-169 Non-Sequential Monte Carlo Simulation for Cyber-Induced Dependent Failures in Composite Power System Reliability Evaluation, Hangtian Lei , EEE TRANSACTIONS ON POWER SYSTEMS, VOL. 32, NO. 2, MARCH 2017 Optimal Wind Farm Allocation in Multi-Area Power Systems using Distributionally Robust Optimization Approach, Fahad Alismail, P. Xiong, IEEE Transactions on Power Systems, Vol 3, Issue 1,, January 2018, 536-544. Google Scholar Profile : diff --git a/src/data/compiled_bios/2961.txt b/src/data/compiled_bios/2961.txt new file mode 100644 index 0000000000..58305ddb71 --- /dev/null +++ b/src/data/compiled_bios/2961.txt @@ -0,0 +1 @@ + Professor Joint Faculty in: Electrical Engineering , Computer Engineering Phone: 979-458-0092 FAX: 979-845-2630 Email: spalex@ece.tamu.edu Office: WEB 334G Website: Research Website Google Scholar Profile Educational Background Ph.D. Electrical Engineering, Technion-Israel Institute of Technology, Haifa, Isreal, 2003 M.S. Electrical Engineering, Technion-Israel Institute of Technology, Haifa, Isreal, 2001 B.S. Electrical Engineering, Technion-Israel Institute of Technology, Haifa, Isreal, 1995 Research Interests Algorithmic and Information-theoretic aspects of networking Network coding and its applications in communication networks QoS routing for unicast and multicast Selected Publications T.J. Scott, G, A. Politte, S. Collard, S. Saathoff, E.M. Zechman, J. Barbour, and A. Sprintson A Test of the Stormwater Footprint Calculator for Improving Knowledge and Changing Attitudes about Design for Sustainability in Stormwater Management Sustainability: Science, Practice, & Policy (accepted for publication February 19, 2013). A. Bagchi, A. Sprintson, and C. Singh. Modeling the Impact of Fire Spread on an Electrical Distribution Network With a Focus on Power Routing During Emergencies. Electrical Power Systems Research Journal (EPSR) (accepted for publication). H. Kim, C. Singh, A. Sprintson. Simulation and Estimation of Reliability in a Wind Farm Considering the Wake Effect, IEEE Transactions on Sustainable Energy, vol.3, no.2, pp.274-282, April 2012. A. Kammerdiner, A. Sprintson, E. Pasiliao, and V. Boginski. Optimization of Discrete Broadcast Under Uncertainty Using Conditional Value-at-Risk, Optimization Letters, to appear. S. El Rouayheb, E. Soljanin, and A. Sprintson, Secure Network Coding for Wiretap Networks of Type II, IEEE Transactions on Information Theory, vol.58, no.3, pp.1361-1371, March 2012. M. Chaudhry, Z. Asad, A. Sprintson and J. Hu. Efficient Congestion Mitigation Using Congestion-Aware Steiner Trees and Network Coding Topologies, VLSI Design, vol. 7, pp 1-9, Jan 2011 T. Jain, M. Ramakrishna, P. Gratz, A. Sprintson, and G. Choi. Asynchronous Bypass Channels for Multi-Synchronous NoCs: A Router Microarchitecture, Topology, and Routing Algorithm, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, vol. 30, n. 11, pp. 1663-1676, 2011 S. El Rouayheb, A. Sprintson, and C. Georghiades. Robust Network Codes for Unicast Connections: A Case Study, IEEE/ACM Transactions on Networking, vol. 19, no. 3. pp. 644-656, 2011 M. Langberg and A. Sprintson. On the Hardness of Approximating the Network Coding Capacity, IEEE Transactions on Information Theory, vol. 57, no.2, pp.1008-1014, Feb. 2011 M. P. Wilson, K. Narayanan, H. Pfister, and A. Sprintson. Joint Physical Layer Coding and Network Coding for Bi-Directional Relaying, IEEE Transactions on Information Theory, vol. 56, no.11., pp.5641-5654, Nov. 2010. Google Scholar Profile : diff --git a/src/data/compiled_bios/2962.txt b/src/data/compiled_bios/2962.txt new file mode 100644 index 0000000000..2bb745f388 --- /dev/null +++ b/src/data/compiled_bios/2962.txt @@ -0,0 +1 @@ + Adjunct Professor Phone: 503-744-8700 Email: larry.stotts@biotronik.com Educational Background Ph.D. EE., Texas Tech University, Lubbock, TX, 1978 MSEE, Texas Tech University, Lubbock, TX, 1976 BSEE, Texas Tech University, Lubbock, TX, 1974 Engineering Executive Management Program, Purdue University, 1991 Research Interests Low power VLSI design for implantable medical applications Cardiac rhythm management and neuromodulation technology, systems, and advanced therapies Awards & Honors Registered Professional Engineer, Texas, #49319 since 1981 National Science Foundation Research Award National Aeronautics and Space Administration Recognition Award Physician Level Membership in Heart Rhythm Society (previously NASPE) Member of IEEE and AAMI Presentations at CICC, ISSCC, IEDM (invited), Cardiostim, NASPE, AHA Over 40 technical publications, 50 patents issued worldwide : diff --git a/src/data/compiled_bios/2963.txt b/src/data/compiled_bios/2963.txt new file mode 100644 index 0000000000..29c0e3a147 --- /dev/null +++ b/src/data/compiled_bios/2963.txt @@ -0,0 +1 @@ + Adjunct Professor FAX: 979-845-6259 Email: fredstrieter@att.net Educational Background Ph.D., The University of California at Berkeley, 1960 A.B., Augustana College, Rock Island, IL, 1956 Research Interests Solid State Awards & Honors The Electrochemical Society, Honorary Member, 1996. Sigma Xi Phi Beta Kappa : diff --git a/src/data/compiled_bios/2964.txt b/src/data/compiled_bios/2964.txt new file mode 100644 index 0000000000..af70c0b1fe --- /dev/null +++ b/src/data/compiled_bios/2964.txt @@ -0,0 +1 @@ + Professor Phone: 979-845-7584 FAX: 979-845-6259 Email: c-su4831@tamu.edu Office: WEB 205G Google Scholar Profile Educational Background Ph.D. 1979, Brandeis University (Physics) Research Interests Surface Plasmon Resonance (SPR) Sensors for Bio-Detection: Multipass SPR Field Assist SPR Formulas for SPR Calculations Using Matrix Techniques Fiber Optic Ratio Meter for Fast Measurement of Refractive Index of Liquid Surface Plasmon Modes in Nanoparticles Gold-Silica Nanoshell (doc) Awards & Honors 1985 Leslie H. Warner Technical Achievement Award 1991 Texas Engineering Experimental Station Fellow 1993 Haliburton Award of Excellence Selected Publications C. B. Su, An analytical solution of kinks and nonlinearities driven by near-field displacementinstabilities in stripe geometry diode lasers,"J. Applied. Physics, Vol. 52, No.2,pp. 2665-2673 ,1981. C. B. Su and R. Olshansky, Carrier lifetime measurement for determination of recombination rates and doping levels of III-V semiconductor light sources,"Applied PhysicsLett., Vol.41, No. 9, pp. 833-835, 1982. J. Lee and C. B. Su, Near Ballistic transport in a non-parabolic band structure for n- and p-GaAs,"IEEE TransactionsElectronDevices, Vol. ED-29, No. 5, pp. 933-935, 1982. C. B. Su, J. Schlafer, J. Manning and R. Olshansky, Measurement of radiative and Auger recombination rates in p-type InGaAsP diode lasers" ,ElectronicsLett., Vol. 18, No. 14, pp. 595-596, 1982. C. B. Su, J. Schlafer, J. Manning and R. Olshansky, Measurement of radiative recombination coefficient and carrier leakage in 1.3 micron InGaAsP lasers with lightly doped active layers,"Electronics Lett. , Vol. 18, No. 25/26, pp. 1108-1110, 1982. C. B. Su and R. Olshansky, Measurement of threshold carrier density of III-V compound semiconductor laser diodes,Applied Physics Lett., Vol. 43, No. 9, pp. 856-858, 1983. J. Manning, R. Olshansky, C. B. Su and W. Powazinik, Measurement of carrier and lattice heating in 1.3 micron InGaAsP light-emitting diodes,Applied. Physics Lett., Vo. 43, No. 2, pp. 134-135, 1983. J. Manning, R. Olshansky and C. B. Su, The carrier induced index change in AlGaAs and 1.3 micron InGaAsP diode lasers,IEEE J. Quantum Electonics., Vol. QE-19, pp. 1525 ,1983. C. B. Su, R. Olshansky, W. Powazinik and J. Manning, Anomalous temperature dependence of the effective bimolecular recombination and the explanation of low T0 in 1.3 micron InGaAsP light sources,IEEE Transactions Electron Devices, Vol. ED-30, pp. 1594 ,1983. C. B. Su, R. Olshansky, J. Manning and W. Powazinik, Carrier dependence of the radiative coefficient in III-V semiconductor light sources,Applied. Physics Lett., Vol. 44, No. 8, pp. 732-734, 1984. Google Scholar Profile : diff --git a/src/data/compiled_bios/2965.txt b/src/data/compiled_bios/2965.txt new file mode 100644 index 0000000000..4c2a5853ae --- /dev/null +++ b/src/data/compiled_bios/2965.txt @@ -0,0 +1 @@ + Associate Professor, Physics And Astronomy Phone: 979-845-7730 Email: teizer@tamu.edu Office: ENPH 410 : diff --git a/src/data/compiled_bios/2966.txt b/src/data/compiled_bios/2966.txt new file mode 100644 index 0000000000..d330c3e7df --- /dev/null +++ b/src/data/compiled_bios/2966.txt @@ -0,0 +1 @@ + Associate Professor Email: chao.tian@tamu.edu Website: Personal webpage Google Scholar Profile Educational Background Ph.D. Electrical and Computer Engineering, Cornell University, 2005 B.E., Electronic Engineering, Tsingua University, China, 2000 Research Interests A Computational Approach to Information Theoretic Converses Coding for Distributed Data Storage Joint Source-Channel Coding An Approximate Approach to Network Information Theory Lossy Multiuser Source Coding Problems Awards & Honors 2017 IEEE Jack Wolf ISIT Best Student Paper Award (Jie Li): For the paper A generic transformation for optimal repair bandwidth and rebuilding access in MDS codes in ISIT 2017. 2014 IEEE ComSoc DSTC Best Paper Award: For the paper Characterizing the rate-region of the (4,3,3) exact-repair regenerating codes in JSAC May 2014. AT&T Key Contributor Award: For technical contribution in AT&T / 2010, 2011, 2013. Liu-Memorial Award, Cornell University: For excellence in graduate study and research / 2004. Selected Publications J. Li, X. Tang, and C. Tian, A generic transformation for optimal repair bandwidth and rebuilding access in MDS codes, Proceedings of the 2017 IEEE International Symposium on Information Theory, Aachen, Germany, Jun. 2017. C. Tian, B. Sasidharan, V. Aggarwal, V. Vaishampayan, and P. Vijay Kumar, Layered exact-repair regenerating codes via embedded erasure correction and block designs, IEEE Trans. Inform. Theory, Vol. 61, No. 4, pp. 1933-1947, Apr. 2015. C. Tian, Characterizing the rate-region of the (4,3,3) exact-repair regenerating codes, IEEE Journal on Selected Areas in Communications, Vol. 32, No. 5, pp. 967-975, May 2014. C. Tian, J. Chen, S. N. Diggavi, and S. Shamai, Optimality and approximate optimality of source-channel separation in networks, IEEE Trans. Inform. Theory, Vol. 60, No. 2, pp. 904-918, Feb. 2014. C. Tian, S. N. Diggavi, and S. Shamai, The achievable distortion region of sending a bivariate Gaussian source on the Gaussian broadcast channel, IEEE Trans. Inform. Theory, Vol. 57, No. 10, pp. 6419-6427, Oct. 2011 Google Scholar Profile : diff --git a/src/data/compiled_bios/2967.txt b/src/data/compiled_bios/2967.txt new file mode 100644 index 0000000000..0f100ffba5 --- /dev/null +++ b/src/data/compiled_bios/2967.txt @@ -0,0 +1 @@ + Raytheon Professor Phone: 979-862-3034 FAX: 979-845-6259 Email: toliyat@tamu.edu Office: WEB 237C Website: Research Website Google Scholar Profile Educational Background Ph.D., University of Wisconsin-Madison, May 1991 MS, West Virginia University, May 1986 BS, Sharif University of Technology, Iran, May 1982 Research Interests Condition monitoring and fault diagnosis of electric machinery Motors and generators, high speed, medium voltage, etc. Electric and Hybrid Electric Vehicles Auxiliary power generators Awards & Honors Patent and Innovation Award, Texas A&M University System Office of Technology Commercializations, 2016. Distinguished Lecturer, IEEE Industry Applications Society, 2014-2015. IEEE Nikola Tesla Award, 2014. Distinguished Lecturer, IEEE Vehicular Technology Society, 2012- 2014. IEEE Fellow, 2007 Selected Publications 1. M. Johnson, M. Gardner, and H.A. Toliyat, Analysis and Development of an Axial Flux Magnetically Geared Generator, Proceedings of the ECCE15, Montreal, Canada, Sept. 20-24, 2015. (Second Prize Paper Award by the IEEE IAS Electric Machines Technical Committee) 1. S. Choi, B. Akin, S. Kwak, and H.A. Toliyat, A Compact Error Management Algorithm to Minimize False-Alarm Rate of Motor/Generator Faults in (Hybrid) Electric Vehicles, IEEE Journal of Emerging and Selected Topics in Power Electronics, Vol. 2, No. 3, Sep. 2014, pp. 618-626. 1. M. Amirabadi, H.A. Toliyat, and W. Alexander, A Multi-Port ac Link PV Inverter with Reduced Size and Weight, IEEE Transactions on Industry Applications Society, Vol. 49, No. 5, Sep./Oct. 2013, pp. 2217-2228. 1. B. Akin, S. Choi, and H.A. Toliyat, DSP Applications in Electric and Hybrid Electric Vehicles, IEEE Signal Processing Magazine, Vol. 29, No. 3, May 2012, pp. 133-136. 1. E. Levi, R. Bojoi, F. Profumo, H.A. Toliyat, and S. Williamson, Multiphase Induction Motor Drives A Technology Status Review, Invited Paper, Vol. 1, Issue 4, July 2007, pp. 489-516, IEE Proceedings on Electric Power Applications. Google Scholar Profile : diff --git a/src/data/compiled_bios/2968.txt b/src/data/compiled_bios/2968.txt new file mode 100644 index 0000000000..7940f74215 --- /dev/null +++ b/src/data/compiled_bios/2968.txt @@ -0,0 +1 @@ + Senior Lecturer Phone: 979-845-7508 Email: jetyler@tamu.edu Office: WEB 218E Awards & Honors Instructional Faculty Teaching Award for 2016-2017 : diff --git a/src/data/compiled_bios/2969.txt b/src/data/compiled_bios/2969.txt new file mode 100644 index 0000000000..b00085b28a --- /dev/null +++ b/src/data/compiled_bios/2969.txt @@ -0,0 +1 @@ + Senior Lecturer Phone: 979-862-6334 Email: ssvillareal@tamu.edu Office: WEB 218D : diff --git a/src/data/compiled_bios/297.txt b/src/data/compiled_bios/297.txt new file mode 100644 index 0000000000..6fac52a56e --- /dev/null +++ b/src/data/compiled_bios/297.txt @@ -0,0 +1 @@ + Federico Iuricich Home Publications Projects Info Email: fiurici@clemson.edu Address: Clemson University School of Computing Visual Computing Division Mc Adams Hall Office: 305 Twitter - @IuricichF GitHub - IuricichF ResearchGate - Federico Iuricich CV - (last update 8/20/2018) Springer book published. I received my Bachelor and Master degree in Computer Science at the University of Genova , in 2008 and 2010, respectively. I started my PhD in 2011 under the supervision of Professor Leila De FLoriani . During Fall 2012 I've been a visiting PhD student at the University of Maryland collaborating with Kenneth Weiss and, successively, Patricio Simari . In 2014 I got my PhD in Computer Science at the University of Genova defending a thesis on "Multi-resolution shape analysis based on discrete Morse decompositions". From September 2014 to June 2016 I have been a postdoctoral fellow in the Department of Computer Science at the University of Maryland, at College Park. In July 2016 I joined the Geographical Sciences Department as a research fellow working in the Center for Geospatial Information Science focusing in geospatial data analysis and visualization. From January 2018 to July 2018 I have been a visiting researcher at Queens College (City University of New York), working with Dr. Chao Chen at the intersection of machine learning and topological data analysis. Currently I am an assistant professor in the School of Computing at Clemson University. My research interesets include Data visualization: scalar field and multivariate data analysis Topological Data Analysis: discrete Morse theory, persistent homology, multidimensional persistence Data structures: multiresolution models, simplicial complexes, spatial indexes News New! I am looking for motivated students. Drop me a line if interested Back from IEEE VIS 2018 2018/10/27 I presented our work on discrete Morse approaches for multipersistence computation at the Dagstuhl Seminar 18422 2018/10/16 I gave a talk at the UMI-SIMAI-PTM joint meeting in Wroclaw, Poland 2018/09/17 I joined the School of Computing at Clemson University as assistant professor 2018/08/15 I presented our work on the efficient computation of multipersistent homology at the SIAM conference on imaging science 2018/06/06 I presented our work on the toplogical analysis of biomedical images at the SIAM conference on imaging science 2018/06/06 I am on the program committee of the 26th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems ( SIGSPATIAL2018 ) 2018/05/20 I am on the program committee of the Smart Tools and Applications in Graphics conference ( STAG ) 2018/03/22 I moved to Dr. Chao Chen 's lab at Queen's College (CUNY) to work on topological data analaysis 2018/01/07 Projects Terrain Modeling Digital Terrain Models (DTMs) and Digital Surface Models (DSMs), provide a detailed geometric representation of a terrain. Terrain analysis requires extracting succinct descriptors that can capture the broader, higher level structures of the terrain. In my research, I focus on the Forman gradient and discrete Morse complexes as abstract morphological descriptions of a terrain. By using the Forman gradient, we can efficiently compute critical points and integral lines used for creating morphological segmentations. I am particularly interested in developing scalable and efficient methods for triangulations and point data of big size. Current mesh data structures are not feasible for very large data especially if parallelize/distribute the computation is required. In my work, I am using the Morse complexes as an intermediate representation for such purposes. Highlights Computing a Forman gradient requires perturbing the input values so to remove "flat regions" from the input data (areas where vertices have all the same function value). By perturbing we also introduce noise that has to be treated with noise removal techniques. We defined the first method for 2D simplicial complexes (terrain data and 3D triangulated shapes) that does no require data perturbation. The Forman gradient can be easily computed in parallel by working in the neighborhood of each vertex of an input dataset. Simplifying the Forman gradient is a much harder task to be performed in parallel. By using the Stellar tree, a spatio-topological data structure developed by my colleague Riccardo Fellegara , we have defined the first efficient method for simplifying a Forman gradient by efficiently subdividing the dataset. Topology Based Visual analytics Topological Data Analysis relies on tools rooted in computational topology. Based on TDA many visualization tools have been developed for studying the shape of an object or the analyzing the evolution of scalar or vector-valued functions. I am focusing on studying efficient tools for data segmentation, based on persistent homology. The generality of topological tools makes them well suited for any data, either they are scalar fields, point data, multivariate data or vector fields. Recently I have worked on the first algorithm for computing a gradient-based representation on multivariate data. This is the first algorithm capable of extracting a discrete gradient field on real-world data. In my current research, I am studying the relationships between this new gradient based representation and its monodimensional counterpart trying to extend the usefulness of persistent homology to the multidimensional case (i.e., when multiple filtrations are provided). Highlights The use of topological methods in scalar field analysis has been widely explored, but in applications, it is easy to find data described not by a single scalar field, but by multiple scalar fields (also called multivariate data). The use of topology here is at an exploratory stage. In our work , we have defined the first algorithm for computing a discrete vector field on multivariate data. By using the gradient, we can extract visual representations for studying the correlation among the multiple functions. Morse-Smale (MS) complexes can be simplified by using an explicit approach, working on the graph representation of the MS complex, or by using an implicit method, which natively works on the Forman gradient. It has been shown that this approach may create topologically-inconsistent representations when operating in three or higher dimensions. We have proposed the first simplification approach that does not present this issue. We published two new survey papers, one focusing on topology-based visualization and the other on the use of Morse complexes for shape analysis and visualization. While representing Morse complexes on regular data (square and cubical grids) is relatively easy, doing that efficiently on simplicial complexes is a challenging task. We have defined the first compact data structure for representing a Forman gradient on a tetrahedral mesh, effectively. By using a primal/dual argument, we have introduced the first compact representation for a discrete Morse complex defined on a simplicial complex. High-dimensional data analysis While several data structures have been proposed in the literature for both cell and simplicial complexes very few of them scale when working in high dimensions. We are working on a new model for encoding a simplicial complex, that we call a Stellar decomposition. The objective is obtaining a compact representation which scales well with both the size and the dimension of the complex. We are developing dedicated versions of the Stellar decomposition to be included in distributed frameworks, such as Hadoop or Apache Spark. I think that being able to represent a simplicial complex efficiently will boost the efficiency in high-dimensional data analysis, which nowadays is mainly limited to the analysis of point clouds or graphs. By developing structures like the Stellar decomposition, my objective is twofold: (i) overcome the current limitations in representing simplicial complexes when working with big data (ii) improving the efficiency of extracting structural information of high-dimensional data Highlights We are overcoming the representation of a complex interconnected network as a graph by encoding the maximal cliques extracted from the same graph. The collection of maximal cliques forms a high dimensional simplicial complex that provides information about the shape, in a topological sense, of said graph. We are defining a dimension independent edge contraction operator and a new way to verify the link condition to reduce the size of a simplicial complex while preserving its homology. The dimension independent edge contraction has been adopted in an exploratory work for retrieving cycles and holes in the geolocalized social network. By simplifying the simplicial complex (obtained by computing the maximal cliques on the network), we can recover the missing relationships among actors participating in the network. diff --git a/src/data/compiled_bios/2970.txt b/src/data/compiled_bios/2970.txt new file mode 100644 index 0000000000..06364e7d28 --- /dev/null +++ b/src/data/compiled_bios/2970.txt @@ -0,0 +1 @@ + Regents Professor Phone: 979-458-5315 Email: watson@tamu.edu Office: WEB 301G Google Scholar Profile Educational Background Ph.D., Texas Tech University, 1982 Awards & Honors IEEE Fellow ASEE Fellow Received the U.S. President's Award for Mentoring Minorities and Women in Science and Technology Recipient of the American Association for the Advancement of Science mentoring award Recipient of the IEEE International Undergraduate Teaching Award Recipient of the Texas A&M University College of Engineering Crawford Teaching Award Google Scholar Profile : diff --git a/src/data/compiled_bios/2971.txt b/src/data/compiled_bios/2971.txt new file mode 100644 index 0000000000..890ffa9f17 --- /dev/null +++ b/src/data/compiled_bios/2971.txt @@ -0,0 +1 @@ + Regents Professor Executive Director for Halliburton Global Engineering Program Senior Associate Dean for Academic Affairs Phone: 979-862-8456 Email: m-weichold@tamu.edu Office: ZACH 530 Google Scholar Profile Educational Background Ph.D., Texas A&M University, December 1983 Research Interests Solid State Device Physics and Fabrication Awards & Honors International Excellence Award, TAMU International Programs Office, College Station, 1997. TAMU GSC Kunze Award for Outstanding Graduate Advising, TAMU Graduate Student Council, College Station, 1997. Selected Publications "Porous Silicon Field Emission Cathode Development", J.R. Jessing, D.L. Parker, and M.H. Weichold, Journal of Vacuum Science and Technology B, Vol. 14, No. 3, pp. 1899-1901, May-June 1996. "Down-Conversion of Microwave Optoelectronic Signals in a GaAs Microstrip Ring Resonator", J.C. Lee, C.L. Yeh, C.H. Ho, H. F. Taylor, M.H. Weichold, and K. Chang, Japanese Journal of Applied Physics, Vol. 35, Part 2, No. 10B, pp. L1336-L1338, October 15, 1996. "The Effects of Evanescent Modes and Subband Mixing on Current-Voltage Characteristics of Gated Resonant Tunneling Diodes", C. Lee and M.H. Weichold, Journal of Applied Physics, Vol. 81, No. 12, June 15, 1997, pp. 8064-8073. "Optoelectronic Parametric Amplification in a Microstrip Ring Resonator on GaAs Substrate," J.C. Lee, C.L. Yeh, C.H. Ho, and M.H. Weichold, Jpn. J. Appl. Phys. Lett., Vol. 36, Part 2, No. 6B, 15 June 1997, pp. L774-L776. "Conditions for Oscillations in a One-Dimensional Multi-Valued Logic Cellular Neural Network", S. Villareal, J. Pineda de Gyvez, and M.H. Weichold, 1996 International Symposium on Nonlinear Theory and its Applications (NOLTA'96), October 7-9, 1996 in Kochi, Japan. "Fabrication and Characterization of Gated Porous Silicon Cathode Field Emission Arrays", J.R. Jessing, H.R. Kim, D.L. Parker, and M.H. Weichold, 10th International Vacuum Microelectronics Conference, July 1997, Korea. Google Scholar Profile : diff --git a/src/data/compiled_bios/2972.txt b/src/data/compiled_bios/2972.txt new file mode 100644 index 0000000000..25fd8c3fed --- /dev/null +++ b/src/data/compiled_bios/2972.txt @@ -0,0 +1 @@ + Royce E. Wisenbaker Professor II Phone: 979-845-9413 FAX: 979-845-6259 Email: smwright@tamu.edu Office: WEB 310D Website: Research Website Google Scholar Profile Educational Background Ph.D. (EE) University of Illinois, 1984 M.S. (EE) University of Illinois, 1981 B.S. (EE) University of Illinois, 1980 Research Interests Magnetic Resonance Imaging- Instrumentation, Methodology Antenna Theory- Numerical Methods, Phased Arrays Electromagnetics Awards & Honors Fellow, International Society of Magnetic Resonance in Medicine (ISMRM) Fellow, Institute of Electronics and Electrical Engineers (IEEE) Fellow, American Institute for Medical and Biological Engineering (AIMBE) R.E. Wisenbaker II Professor, Texas A&M College of Engineering Faculty Fellow, Texas A&M University College of Engineering, 2005. University Faculty Fellow, Texas A&M University, Sept. 1, 2002 to Aug. 31, 2007. TEES Fellow Award, Texas A&M University College of Engineering Award, 1999. James Stone Faculty Fellow, Texas A&M University College of Engineering, 1999. Lockheed Fort Worth Company Award for Excellence in Engineering Education, Texas A&M University, 1993. Radiological Society of North America Scientific Exhibit Citation, "An Imaging Sequence for Multi-Plane Scout Scans" 1986 National Science Foundation Graduate Fellowship (7/81 - 6/84) Graduated with Highest Honors, College of Engineering, University of Illinois (1980) E. C. Jordan Award for Academic Excellence in Electrical Engineering, University of Illinois (1980) Selected Publications S.M. Wright, M.P. McDougall, "Single Echo Acquisition Imaging using RF Encoding," NMR in Biomedicine, vol. 22(9), pp. 982-993, 2009. S.M. Wright and M.P. McDougall, "MR Imaging at Sub-Millisecond Frame Rates, "Proc. Intl. Soc. Mag. Reson. Med. 17 (2009) 259. K. Feng, N.A. Hollingsworth, J.C. Bosshard, D.C. Noll, and S.M. Wright, "An Inexpensive, Scalable Vector Modulator and Application to 2D RF Pulses," Proc. Intl. Soc. Mag. Reson. Med. 17 (2009) 3021. N. A. Hollingsworth, K. Feng, C-W. Chang, S. M. Wright, and M. P. McDougall, "Development of a 64 Channel Parallel Transmit System," Proc. Intl. Soc. Mag. Reson. Med. 17 (2009) 3019. Dante Son, S.M. Wright, and J. Ji, "Single-Point Dixon Water-Fat Imaging Using 64-Channel Single Echo Acquisition MRI", Concepts in Magnetic Resonance, Part B (Magnetic Resonance Engineering, Vol 33B, No. 3, PP. 152-162, August 2008. S.M. Wright, M.P. McDougall, J.C. Bosshard, "Dedicated Phase-Compensation Gradient Coils for Wide Field-of-View MR Microscopy," Annl. Mtg. Biomedical Engineering Society (BMES), St. Louis, MO, October, 2008. P. 2.10 J.C. Bosshard, N. Yallapragada, M.P. McDougall, and S.M. Wright, "High Speed MR Elastography Using SEA Imaging," Proceedings of the 16th Annual Meeting of the ISMRM, Toronto, 2008, p. 831. W.A. Grissom, C.Y. Yip, S.M. Wright, J.A. Fessler, and D.C. Noll, "Additive angle method for fast large-tip-angle RF pulse design in parallel excitation" Magn. Reson. Med., Vol 51, No. 4, pp. 779-787, April 2008. S.M. Wright and M.P. McDougall, "Coil Effect On K-Space Line Selection In Highly Accelerated Parallel Imaging," IEEE Intl. Symp. on Biomed. Imaging (ISBI 2007), Wash. D.C., April 2007, p. 1016-1019. M.P. McDougall and S.M. Wright, "Initial Results In Wide-Field 3d Microscopy Using Parallel Imaging," IEEE Intl. Symp. on Biomed. Imaging (ISBI 2007), Wash. D.C., April 2007, p. 1072-1075. Google Scholar Profile : diff --git a/src/data/compiled_bios/2973.txt b/src/data/compiled_bios/2973.txt new file mode 100644 index 0000000000..69ee0488eb --- /dev/null +++ b/src/data/compiled_bios/2973.txt @@ -0,0 +1 @@ + Professor Phone: 979-845-7563 FAX: 979-845-6259 Email: le.xie@tamu.edu Office: WEB 301H Website: Personal Website Google Scholar Profile Educational Background Ph.D. Electrical and Computer Engineering, Carnegie Mellon University, 2009 Sc.M. Engineering Sciences, Harvard University, 2005 B.E. Electrical Engineering, Tsinghua University, 2004 Research Interests Modeling and control of electric energy systems; Integration of renewable variable energy resources; Design and optimization of competitive power systems; Theory and application of cyber-physical energy systems. Selected Publications H. Zhong, L. Xie, and Q. Xia "Coupon Incentive-based Demand Response: Theory and Case Study, " IEEE Transactions on Power Systems (accepted,to appear) Y. Gu, and L. Xie, "Early Detection and Optimal Corrective Measures of Power System Insecurity in Enhanced Look-ahead Dispatch, " IEEE Transactions on Power Systems (accepted,to appear) S. Wang, L. Cui, J. Que, D.-H. Choi, X. Jiang, and L. Xie, "A Randomized Response Model for Privacy Preserving Smart Metering,"IEEE Transactions on Smart Grid . Vol. 3, No. 3, pp. 1317 - 1324, September 2012. L. Xie, D.-H. Choi, S. Kar, and H. Vicent Poor, "Fully distributed state estimation for Wide-Area Monitoring Systems,"IEEE Transactions on Smart Grid . Vol. 3, No. 3, pp. 1154 - 1169, September 2012 L. Xie, Y. Chen, and H. Liao, "Distributed online monitoring of quasi-static voltage collapse in multi-area power systems, " IEEE Transactions on Power Systems (accepted,to appear). A. Thatte, and L. Xie, "Towards a Unified Operational Value Index of Energy Storage in Smart Grid Environment ," IEEE Transactions on Smart Grid Vol. 3, No. 3, pp. 1418 - 1426, September 2012. L. Xie, Y. Gu, A. Eskandari, and M. Ehsani, "Fast MPC-based Coordination of Wind Power and Battery Energy Storage Systems,"Journal of Energy Engineering L. Rao, X. Liu, L. Xie, and W. Liu, "Coordinated energy cost management of Internet data center in multi regional electricity markets,"IEEE Transactions on Smart Grid (accepted) L. Rao, X. Liu, L. Xie, and Z. Pang, "Hedging Against Uncertainty: A Tale of Internet Data Center Operations Under Deregulated Electricity Market,"IEEE Transactions on Smart Grid Vol. 2, No. 3, pp. 555 - 563, September 2011. L. Xie, , Y. Mo and B. Sinopoli, "Integrity Data Attacks in power market operations,"IEEE Transactions on Smart Grid Vol. 2, No. 4, pp. 659 - 666, December 2011. Google Scholar Profile : diff --git a/src/data/compiled_bios/2974.txt b/src/data/compiled_bios/2974.txt new file mode 100644 index 0000000000..ecff38f523 --- /dev/null +++ b/src/data/compiled_bios/2974.txt @@ -0,0 +1 @@ + Professor Joint Faculty in: Electrical and Computer Engineering , Computer Engineering Phone: 979-862-8683 FAX: 979-862-4630 Email: zixiang-xiong@tamu.edu Office: WEB 334H Website: Personal Website Google Scholar Profile Educational Background Ph.D. in EE, University of Illinois at Urbana-Champaign (UIUC), 1996 Research Interests Distributed source coding for sensor networks, data hiding, and network information theory Joint source-channel coding, networked multimedia and data compression Genomic signal processing Network traffic smoothing and modeling. Network information theory, code designs and applications Distributed source coding of linear functions Minimum-energy network communications Multiterminal source coding theory and multiterminal video coding Cooperative diversity Dirty-paper coding Networked multimedia Audio/image/video coding Source-channel coding Biomedical engineering Medical image processing Awards & Honors IEEE Fellow NSF CAREER Award ARO YIP Award ONR YIP Award Selected Publications Z. Xiong, "Distributed video coding," Multimedia Image and Video Processing, L. Guan, Y. He, and S.-Y. Kung (Eds.), CRC, 2012. Z. Xiong, A. Liveris, and Y. Yang, "Distributed source coding," Handbook on Array Processing and Sensor Networks, S. Haykin and K. J. R. Liu (Eds.), Wiley, 2009. Z. Xiong and K. Ramchandran, "Wavelet image compression," The Essential Guide to Image Processing, A. Bovik, ed., Elsevier, 2009. V. Stankovic, A. Host-Madsen, and Z. Xiong, "Cooperative diversity: Capacity bounds and code designs," Adaptive Signal Processing for Wireless Communications, M. Ibnkahla (Ed.), CRC Press, 2008. R. Hamzaoui, V Stankovic, Z. Xiong, K. Ramchandran, R. Puri, A. Majumdar, and J. Chou "Channel protection and joint source channel coding techniques," Multimedia over IP and Wireless Networks: Compression, Networking, and Systems, M. van der Schaar and P. Chou (Eds.), Academic Press, 2007. R. Hamzaoui, V Stankovic, and Z. Xiong, "Forward error control for packet loss and corruption," Multimedia over IP and Wireless Networks: Compression, Networking, and Systems, M. van der Schaar and P. Chou (Eds.), Academic Press, 2007. Z. Xiong and K. Ramchandran, "Wavelet image compression," Handbook of Image and Video Processing, A. Bovik, ed., 2nd edition, Academic Press, 2005. Z. Xiong and K. Ramchandran, "Wavelet image compression," Handbook of Image and Video Processing, A. Bovik, ed., Academic Press, 2000. A. Nosratinia, G. Davis, Z. Xiong, and R. Rajagopalan, "Subband image compression,'' Wavelet, subband and block transforms in communications and multimedia, A. Akansu and M. Medley, eds, Kluwer, 1999. W. A. Pearlman, B.-J. Kim, and Z. Xiong, "Embedded video subband coding with 3D SPIHT,'' Wavelet Image and Video Compression, P. Topiwala, ed., Kluwer, 1998. Google Scholar Profile : diff --git a/src/data/compiled_bios/2975.txt b/src/data/compiled_bios/2975.txt new file mode 100644 index 0000000000..172cc16c50 --- /dev/null +++ b/src/data/compiled_bios/2975.txt @@ -0,0 +1 @@ + Associate Professor Phone: 979-845-6942 Email: bjyoon@tamu.edu Office: WEB 205L Google Scholar Profile Educational Background Ph.D., California Institute of Technology, 2007 M.S., Caltech, 2002 B.S.E., Seoul National University, 1998 Research Interests Research Interests Genomic Signal Processing (GSP), Bioinformatics, and Systems Biology Probabilistic Graphical Models & Algorithms, and Their Application in Computational Biology Noncoding RNA (ncRNA) Prediction, RNA Sequence Analysis Awards & Honors NSF CAREER Award, National Science Foundation, 2011. Best Paper Award, Asia Pacific Bioinformatics Conference (APBC2011), Jan. 2011. SLATE Teaching Excellence Award, Texas A&M University, 2009. Microsoft Research PhD Fellowship, Microsoft Research, 2004. Paper Award (2nd place), Student Paper Contest, Asilomar Conference on Signals, Systems, and Computers, 2003. Killgore Fellowship, California Institute of Technology, 2001. Doctoral Scholarship, The Korea Foundation for Advanced Studies (KFAS), 2001. Google Scholar Profile : diff --git a/src/data/compiled_bios/2976.txt b/src/data/compiled_bios/2976.txt new file mode 100644 index 0000000000..a22de82cc7 --- /dev/null +++ b/src/data/compiled_bios/2976.txt @@ -0,0 +1 @@ + Professor Phone: 979-458-1416 FAX: 979-845-2630 Email: xizhang@tamu.edu Office: WEB 331D Website: Personal Website Google Scholar Profile Educational Background Ph.D., Department of Electricl Engineering and Computer Science (Electrical Engineering--Systems), The University of Michigan, Ann Arbor. Awards & Honors IEEE Fellow U.S. National Science Foundation (NSF) EARLY CAREER Award in 2004. IEEE Distinguished Lecturer in IEEE Communications Society . IEEE Distinguished Lecturer in IEEE Vehicular Technology Society. Best Paper Award in IEEE Global Communications Conference (GLOBCOM) 2009, Hawaii, USA, 2009. Best Paper Award in IEEE Wireless Communications and Networks Conference (WCNC) 2010, Sydney, Australia, 2010. Best Paper Award in IEEE Global Communications Conference (GLOBECOM) 2007, Washington, D.C., USA, 2007. TEES Select Young Faculty Award for Excellence in Research from College of Engineering at Texas A&M University (2006). Selected Publications Xi Zhang and Jia Tang, "Power-Delay Tradeoff Over Wireless Networks,"IEEE Transactions on Communications, Accepted and to appear 2013. Wenchi Cheng, Xi Zhang, and Hailin Zhang, "Joint Spectrum and Power Efficiencies Optimization for Statistical QoS Provisionings Over SISO/MIMO Wireless Networks,"IEEE Journal on Selected Areas in Communications (J-SAC), Accepted and to appear 2013. Google Scholar Profile : diff --git a/src/data/compiled_bios/2977.txt b/src/data/compiled_bios/2977.txt new file mode 100644 index 0000000000..03966b3372 --- /dev/null +++ b/src/data/compiled_bios/2977.txt @@ -0,0 +1 @@ + Professor Phone: 979-862-1640 FAX: 979-845-6259 Email: junzou@tamu.edu Office: WEB 205I Google Scholar Profile Educational Background Ph.D., University of Illinois at Urbana-Champaign, 2002 M.S., Tsinghua University, Beijing, China, 1997 B.S., Chongqing University, Chongqing, China, 1994 Research Interests Micro sensors, micro actuators and microsystems Micro optical and acoustic devices and systems for non-destructive sensing and imaging 3D Micro and nanofabrication technologies Awards & Honors Seno Medical Best Paper Award, SPIE Photonic West: Photons Plus Ultrasound Conference, San Francisco, CA, 2013. Distinguished Paper Award, Digestive Disease Week (DDW), New Orleans, LA, 2010. First-Place Best Poster Award, IEEE Sensor Conference, Lecce, Italy, 2008. Selected Publications J. Yao, L.-D. Wang, J.-M. Yang, K. I. Maslov, T. T. W. Wong, L. Li, C.-H. Huang, J. Zou, and L. V. Wang, High-speed Label-free Functional Photoacoustic Microscopy of Mouse Brain in Action, Nature Methods, vol. 12, no. 5, 407-410 2015. Y. Cho, C.-C. Chang, J. Yu, M. Jeon, C.-H. Kim, L. V. Wang, and Jun Zou, Handheld photoacoustic tomography probe built using optical-fiber parallel acoustic delay lines, SPIE Journal of Biomedical Optics, vol. 19, no. 8, pp. 086007, 2014. P.-C. Chen, S.-J. Hsieh, J. Zou, and C.-C. Chen, Selectively dealloyed Ti/TiO2 network nanostructures for supercapacitor application, Materials Letters, vol. 133, pp. 175178, 2014. C.-C. Chang, Y. Cho, and J. Zou, A micromachined acoustic multiplexer for ultrasound and photoacoustic imaging applications, IEEE Journal of Microelectromechanical Systems, vol. 23, no. 3, pp. 514-516, 2014. H. Hu, Y. Deng, and J. Zou, A microfluidic smectite-polymer nanocomposite (SPN) strip sensor for aflatoxin detection, IEEE Sensor Journal, vol. 13, no. 5, pp. 1835-1839, 2013. P.-C. Chen, S.-J. Hsieh, C.-C. Chen, and J. Zou, Fabrication and characterization of chemically sensitive needle tips with aluminum oxide nanopores for pH indication, Ceramics International, vol. 39, no. 3, pp. 2597-2600, 2013. C.-H. Huang, J. Yao, L. V. Wang , and J. Zou, "A water-immersible 2-axis scanning mirror microsystem for ultrasound and photoacoustic microscopic imaging applications, Microsystem Technologies Journal, vol. 19, no. 4, pp. 577-582, 2013. C.-C. Chang, Y. Cho, L. V. Wang, and J. Zou, "Micromachined silicon acoustic delay lines for ultrasound applications," Journal of Micromechanics and Microengineering, vol. 23, no. 2, pp. 025006, 2013. M. K. Yapici, C. Kim, C-C. Chang, M. Jeon, Z. Guo, X. Cai, J. Zou, and L. V. Wang, "Parallel acoustic delay lines for photoacoustic tomography," SPIE Journal of Biomedical Optics, vol. 17, no. 11, pp. 116019, 2012. A. Garcia-Uribe, J. Zou, M. Duvic, J. H. Cho-Vega, V. Prieto, and L. V. Wang, In vivo diagnosis of melanoma and nonmelanoma skin cancer using oblique incidence diffuse reflectance spectrometry, Cancer Research, vol. 72, no. 11, pp. 2738-2745, 2012. C.-C. Chang, A. Garcia-Uribe, J. Zou, and C., L.-S. Morgan, Micro side-viewing optical probe for VNIR-DRS soil measurement, IEEE Sensor Journal, vol. 11, no. 10, pp. 2527-2532, 2011. A. Garcia-Uribe, C.-C. Chang, M. K. Yapaci, J. Zou , B. Banerjee, J. Kuczynski, E. Ong, E. S. Marner, B. H. Levy, and L. V. Wang, High-transmission-efficiency and side-viewing micro OIDRS probe for fast and minimally-invasive tumor margin detection, IEEE Sensor Journal, vol. 11, no. 4, pp. 891-896, 2011. H. Lee, R. Cooper, M. K. Yapici, J. Zou, and H. Liang, Formation of 1-D nanostructures using atomic force microscope, IEEE Transactions on Nanotechnology, vol. 10, no. 2, pp. 310-318, 2011. A. Garcia-Uribe, K. C. Balareddy, J. Zou, L. V. Wang and K. K. Wang, Micromachined side-viewing optical sensor probe for non-invasive detection of esophageal cancers, Sensor & Actuators, vol. 150, no. 1, pp. 144-150, 2009. M. K. Yapici and J. Zou, A novel micromachining technique for the batch fabrication of scanning probe arrays with precisely defined tip contact areas, Journal of Micromechanics and Microengineering, vol. 18, no. 8, pp. 085015-22, 2008. L. Yambem, M. Yapici, and J. Zou, A universal wireless sensor system for automated environmental event monitoring, IEEE Sensor Journal, vol.8, no. 3, pp. 238-239, 2008. J. M. Hong, F. M. Ozkeskin and J. Zou, Micromachined elastomeric tip array and its application in contact printing with variable dot size and density, Journal of Micromechanics and Microengineering, vol. 18, no.1, pp. (015003)1-6, 2008. Google Scholar Profile : diff --git a/src/data/compiled_bios/2978.txt b/src/data/compiled_bios/2978.txt new file mode 100644 index 0000000000..a812b49a83 --- /dev/null +++ b/src/data/compiled_bios/2978.txt @@ -0,0 +1 @@ +Name: Richard E. Billo Title: Associate Vice President for Research College: College of Engineering Job: Professor Department: Department of Computer Science and Engineering Email:rbillo@nd.edu Phone: 574-631-1196 Office: Notre Dame Research, 317E Main Building Education: Ph.D., Arizona State University Master's, University of the Pacific B.S., West Virginia University Biography: Richard Billo was appointed associate vice president for research in 2013, where he manages Notre Dame Research Development. In addition to this role, he is a professor in the Department of Computer Science and Engineering, with research interests in advanced manufacturing and information systems. Prior to joining Notre Dame, Richard served as associate dean for engineering research at the University of Texas, Arlington, and department head of industrial and manufacturing engineering at Oregon State University. He holds a bachelors degree from West Virginia University and masters degree from the University of the Pacific. Richard completed his Ph.D. in industrial engineering at Arizona State University. Summary of Activities/Interests: His research interests are in advanced manufacturing and information systems. diff --git a/src/data/compiled_bios/2979.txt b/src/data/compiled_bios/2979.txt new file mode 100644 index 0000000000..5eacb697f0 --- /dev/null +++ b/src/data/compiled_bios/2979.txt @@ -0,0 +1 @@ +Name: Kevin W. Bowyer Title: Schubmehl-Prein Professor College: Department of Computer Science and Engineering Job: Concurrent Professor Department: Department of Electrical Engineering Email:kwb@nd.edu Phone: 574-631-9978 Office: 321 Stinson-Remick Hall Website: http://www.nd.edu/~kwb Education: Ph.D., Computer Science, Duke, 1980 Biography: Professor Bowyer's research interests touch on many aspects of computer vision and pattern recognition, including biometrics, data mining, object recognition and medical image analysis. He is a Fellow of the IEEE, a Fellow of the IAPR, a Golden Core member of the IEEE Computer Society, and a recipient of an IEEE Technical Achievement Award. He previously served as the EIC of the IEEE Transactions on Pattern Analysis and Machine Intelligence, and the IEEE Biometrics Compendium, and as General Chair or Program Chair of a number of major conferences. He is General Chair of the 2017 IEEE International Conference on Automatic Face and a Chair of the 2017 CVPR Media Forensics Workshop. Summary of Activities/Interests: Biometrics, data mining, computer vision, pattern recognition, applications to medical imaging, ethics and computing, computer science education. diff --git a/src/data/compiled_bios/298.txt b/src/data/compiled_bios/298.txt new file mode 100644 index 0000000000..c5d36c1d03 --- /dev/null +++ b/src/data/compiled_bios/298.txt @@ -0,0 +1 @@ + Sophie Jrg Associate Professor Visual Computing Division [ VC ] Digital Production Arts [ DPA ] School of Computing [ SoC ] Clemson University [ CU ] Clemson, SC 29634 USA office: 318 McAdams Hall e-mail: sjoerg AT clemson.edu phone: (+1) 864.656.0538 [ news ] [ about me ] [ teaching ] [ publications ] [ group ] News Aug 2018: I got tenure. Feb 2017: I got awarded a CAREER grant. July 31, 2016: My student Lorraine won the Best Presentation Award at SAP 2016! July 10, 2016: Our two SAP-papers got added to the ACM digital library. [1] [2] March 12, 2015: Our STAR-paper was accepted for Eurographics 2015 . Nov 10, 2014: Our paper won the Best Paper Award at MIG . August 15, 2014: Back from SAP and SIGGRAPH. Presented our paper on character responsiveness at SAP and our poster on VenvI at SIGGRAPH. August 1, 2014: My summer student, Dana Moore , is finishing her research experience with the DREU program. July 31, 2014: Our gaze modeling project received an award from the National Science Foundation (CHS Small, Co-PI Andrew Duchowski). [1] May 15, 2014: Responsiveness paper accepted at SAP 2014. Feb 26, 2014: Press coverage on VEnvI project: [1] [2] [3] Jan 29, 2014: Our project VEnvI (Virtual Environment Interactions) received funding from the National Science Foundation (NSF INSPIRE award). [1] [2] About me My primary research interests are in computer graphics, especially in animation and perception of virtual characters. Character animation techniques and algorithms . I am particularly interested in developing new animation techniques using motion capture, statistical properties and learning through databases. Perception of lifelike virtual humans . Humans are capable of successfully distinguishing between human and computer-generated motions, even if the differences are marginal. This skill makes it a challenge to produce convincing animations, especially for very realistic human-like virtual characters. I aim to determine which components of human motion are crucial to lifelike appearance and which errors diminish this realism. Hand and finger motions . Hand and finger motions are omnipresent in daily life. Nevertheless, virtual characters often lack convincing hand and finger motions. Capturing, analyzing, understanding, and automatically generating these subtle movements are topics I address in my research. I am also interested in virtual reality, machine learning, and human-computer interaction. I received my PhD in 2011 from the Graphics, Vision and Visualization Group at Trinity College Dublin , Ireland , advised by Carol O'Sullivan . I then spent a year as a postdoctoral researcher at Carnegie Mellon's Graphics Lab working with Alla Safonova and Jessica Hodgins . During my PhD, I also conducted research as a visiting student in the Graphics Lab at Carnegie Mellon University and as an intern at Disney Research, Pittsburgh . Teaching Spring 2018: CPSC 8110 Technical Character Animation Fall 2017: DPA 8070 3D Modeling and Animation Spring 2017: CPSC 8110 Technical Character Animation Fall 2016: CPSC 8070 3D Modeling and Animation Fall 2016: CPSC 8810 3D Game Development Spring 2016: CPSC 8110 Character Animation Fall 2015: CPSC 8070 3D Modeling and Animation Spring 2015: CPSC 4820/6820 Design & Implementation of Video Game Modules Fall 2014: CPSC 8070 3D Modeling and Animation Fall 2014: DPA 4000/6000 Technical Foundations of Digital Production I Spring 2014: CPSC 8080 Advanced Animation Fall 2013: CPSC 8070 3D Modeling and Animation Spring 2013: CPSC 881.005 Technical Foundations of Character Animation Fall 2012: CPSC 807 3D Modeling and Animation Selected Publications A more complete list can be found on my Google Scholar site Lorraine Lin, Dhaval Parmar, Sabarish V. Babu, Alison E. Leonard, Shaundra B. Daily, and Sophie Jrg How Character Customization Affects Learning in Computational Thinking. Proceedings of the ACM Symposium on Applied Perception (ACM SAP) 2017, 8 pages. [ project ] Dhaval Parmar, Joseph Isaac, Sabarish Babu, Nikeetha DSouza, Alison Leonard, and Sophie Jrg Programming moves: Design and evaluation of applying embodied interaction in virtual environments to enhance computational thinking in middle school students IEEE Virtual Reality (VR) 2016, pp.131-140. [ paper ] Ellie Ebrahimi, Sabarish Babu, Christopher Pagano, and Sophie Jrg An empirical evaluation of visuo-haptic feedback on physical reaching behaviors during 3D interaction in real and immersive virtual environments ACM Transactions on Applied Perception (TAP) July 2016, volume 13, issue 4, article no. 19. We won the Best Paper Award at ACM SAP 2016 . [ paper ] Lorraine Lin and Sophie Jrg. Need a Hand? How Appearance Affects the Virtual Hand Illusion Proceedings of the ACM Symposium on Applied Perception (ACM SAP) July 2016, pp.69-76. Lorraine won the Best Presentation Award . [ project ] Andrew Duchowski, Sophie Jrg, Aubrey Lawson, Takumi Bolte, Lech Swirski, and Krzysztof Krejtz. Eye Movement Synthesis with 1/f Pink Noise Proceedings of the 8th ACM SIGGRAPH Conference on Motion in Games 2015 (MIG) November 2015, pp.47-56. [ paper ] Nkenge Wheatland, Yingying Wang, Huaguang Song, Michael Neff, Victor Zordan, and Sophie Jrg State of the Art in Hand and Finger Modeling and Animation Computer Graphics Forum , volume 34, issue 2, pp.735-760 (Eurographics, May2015). [ paper ] Shaundra B. Daily, Alison E. Leonard, Sophie Jrg, Sabarish Babu, Kara Gundersen, Dhaval Parmar Embodying computational thinking: Initial design of an emerging technological learning tool. Technology, Knowledge, & Learning. , April 2015, volume20, issue1, pp.79-84. [ paper ] [ bibtex ] Aline Normoyle, Sophie Jrg Trade-offs between responsiveness and naturalness for player characters Proceedings of ACM Motion in Games 2014 , November2014, pp.61-70. Best Paper Award . [ paper ] [ bibtex ] Aline Normoyle, Gina Guerrero, Sophie Jrg Player perception of delays and jitter in character responsiveness Proceedings of the ACM Symposium on Applied Perception (SAP) , August2014, pp.117-124. [ paper ] [ bibtex ] Shaundra Bryant Daily, Alison E. Leonard, Sophie Jrg, Sabarish Babu, Kara Gundersen Dancing Alice: Exploring Embodied Pedagogical Strategies for Learning Computational Thinking Proceedings of the 45th ACM Technical Symposium on Computer Science Education (SIGSCE) , March2014, pp.91-96. [ bibtex ] Nkenge Wheatland, Sophie Jrg, and Victor Zordan Automatic Hand-over Animation Using Principle Component Analysis Proceedings of Motion in Games 2013 (MIG) , November2013, pp.197-202. [ project ] [ paper ] [ video ] Aline Normoyle, Fannie Liu, Mubbasir Kapadia, Norman I. Badler, and Sophie Jrg The Effect of Posture and Dynamics on the Perception of Emotion Proceedings of the ACM Symposium on Applied Perception (SAP) , August2013, pp.91-98. Aline won the Best Student Presentation Award . [ paper ] [ video.mp4 ] Sophie Jrg, Jessica Hodgins, and Alla Safonova Data-driven Finger Motion Synthesis for Gesturing Characters ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia , November 2012, volume 31, issue 6, article no. 189. [ project ] [ paper ] [ video.mov ] [ bibtex ] Sophie Jrg, Aline Normoyle, and Alla Safonova How Responsiveness Affects Players' Perception in Digital Games Proceedings of the ACM Symposium on Applied Perception (SAP) , August2012, pp.33-38. [ paper ] [ video.mp4 ] [ bibtex ] Sophie Jrg, Jessica Hodgins, and Carol O'Sullivan The Perception of Finger Motions Proceedings of the 7th Symposium on Applied Perception in Graphics and Visualization (APGV) , July2010, pp.129-133. [ paper ] [ bibtex ] Jessica Hodgins, Sophie Jrg, Carol O'Sullivan, Sang Il Park, and Moshe Mahler The Saliency of Anomalies in Animated Human Characters ACM Transactions on Applied Perception (TAP) , July2010, volume7, issue4, articleno.22. [ project ] [ paper ] [ bibtex ] Sophie Jrg and Carol O'Sullivan Exploring the Dimensionality of Finger Motion Proceedings of the 9th Eurographics Ireland Workshop (EGIE) , December2009, volume9, pp.95-101. [ paper ] [ bibtex ] Rachel McDonnell, Sophie Jrg, Joanna McHugh, Fiona N. Newell, and Carol O'Sullivan Investigating the role of body shape on the perception of emotion ACM Transactions on Applied Perception (TAP) , August2009, volume6, issue3, articleno.14. [ paper ] [ bibtex ] Rachel McDonnell, Sophie Jrg, Jessica K. Hodgins, Fiona N. Newell, and Carol O'Sullivan Evaluating the effect of motion and body shape on the perceived sex of virtual characters ACM Transactions on Applied Perception (TAP) , January2009, volume5, issue4, articleno.20. [ paper ] [ bibtex ] Rachel McDonnell, Sophie Jrg, Joanna McHugh, Fiona N. Newell, and Carol O'Sullivan Evaluating the emotional content of human motions on real and virtual characters Proceedings of the 5th Symposium on Applied Perception in Graphics and Visualization (APGV) , August2008, pp.67-74. [ project ] [ paper ] [ bibtex ] Frank Hlsken, Christian Eckes, Roland Kuck, Jrg Unterberg, and Sophie Jrg Modeling and Animating Virtual Humans for Real-time Applications International Journal of Virtual Reality (IJVR) , December2007, volume6, number4, pp.11-20. [ project ] [ paper ] [ video.mpg ] [ video.wmv ] [ bibtex ] Rachel McDonnell, Sophie Jrg, Jessica K. Hodgins, Fiona N. Newell, and Carol O'Sullivan Virtual shapers & movers: form and motion affect sex perception Proceedings of the 4th Symposium on Applied Perception in Graphics and Visualization (APGV) , July2007, pp.7-10. [ paper ] [ bibtex ] Dissertation Sophie Jrg Perception of Body and Hand Animations for Realistic Virtual Characters Dissertation, University of Dublin, Trinity College , March2011, Advisor: Carol O'Sullivan. [ thesis ] diff --git a/src/data/compiled_bios/2980.txt b/src/data/compiled_bios/2980.txt new file mode 100644 index 0000000000..13abd78afb --- /dev/null +++ b/src/data/compiled_bios/2980.txt @@ -0,0 +1 @@ +Name: Ramzi K. Bualuan Title: Associate Professional Specialist and Director of Undergraduate Studies College: Department of Computer Science and Engineering Job: Associate Professional Specialist Department: College of Engineering Email:ramzi@nd.edu Phone: 574-631-7388 Office: 384B Fitzpatrick Hall Education: M.S., Electrical Engineering, University of Notre Dame, 1985 Biography: Mr. Bualuan's research emphasizes databases. He teaches courses in Databases, Advanced Database Projects, and Visual FX. In addition to the courses he teaches, he is the Director of Undergraduate Studies for the CSE department. He also directs the College's Introduction to Engineering Program (IEP), a summer camp for high school students interested in engineering. It covers the scope of engineering today, new technologies, engineering design, computer programming, and information about jobs in engineering. Summary of Activities/Interests: Database systems. diff --git a/src/data/compiled_bios/2981.txt b/src/data/compiled_bios/2981.txt new file mode 100644 index 0000000000..83b904cb15 --- /dev/null +++ b/src/data/compiled_bios/2981.txt @@ -0,0 +1 @@ +Name: Peter Bui Title: Associate Professional Specialist College: Department of Computer Science and Engineering Job: Associate Professional Specialist Department: College of Engineering Email:pbui@nd.edu Phone: 574-631-1467 Office: 350 Fitzpatrick Website: http://www3.nd.edu/~pbui/ Education: Ph.D., Computer Science & Engineering, University of Notre Dame, 2012 Biography: I am an associate teaching professor in the Computer Science and Engineering department at the University of Notre Dame. In addition to teaching Computer Science courses such as Data Structures, Systems Programming, and Ethical and Professional Issues, I also teach the core Elements of Computing programming sequence in the Computing & Digital Technologies minor. Outside the classroom, I enjoy hacking on research projects related to systems programming, operating systems, parallel computing, cloud computing, distributed computing, programming languages, compilers, and web services, and I would welcome the opportunity to work with undergraduate students on such projects. Summary of Activities/Interests: Distributed and parallel computing, systems programming, webservices, and computer science education diff --git a/src/data/compiled_bios/2982.txt b/src/data/compiled_bios/2982.txt new file mode 100644 index 0000000000..43058a80af --- /dev/null +++ b/src/data/compiled_bios/2982.txt @@ -0,0 +1 @@ +Name: Nitesh V Chawla Title: Frank M. Freimann Professor College: Department of Computer Science and Engineering Job: Frank M. Freimann Professor Department: College of Engineering Email:nchawla@nd.edu Phone: 574-631-1090 Office: 384 Nieuwland Science Hall Website: http://www.nd.edu/~nchawla/ Education: Ph.D., Computer Science and Engineering, University of South Florida, 2002 M.S., Computer Science, University of South Florida, 2000 B.E., Computer Science and Engineering, University of Poona, 1997 Biography: Nitesh Chawla, PhD is the Frank Freimann Professor of Computer Science and Engineering, Director of Data Inference Analysis and Learning Lab (DIAL), and Director of the Interdisciplinary Center for Network Science and Applications (iCeNSA). He started his tenure-track position at Notre Dame in 2007, and was promoted and tenured in 2011, and chaired full professor in 2015. His research is focused on machine learning, data science, and network science. He is at the frontier of interdisciplinary applications with innovative work in healthcare ianalytics, social and information networks, business analytics, national security, and climate/environmental sciences. He is the recipient of multiple awards for research and teaching innovation including outstanding teacher awards (2007 and 2010), National Academy of Engineers New Faculty Fellowship, and number of best paper awards and nominations. He is the recipient of the 2015 IEEE CIS Outstanding Early Career Award; the IBM Watson Faculty Award, the IBM Big Data and Analytics Faculty Award, National Academy of Engineering New Faculty Fellowship, and his PhD dissertation also received the Outstanding Dissertation Award. In recognition of the societal and community driven impact of his research, he was recognized with the Rodney Ganey Award and Michiana 40 Under 40. He is a Fellow of the Reilly Center for Science, Technology, and Values;, Fellow of the Institute of Asia and Asian Studies; and Fellow of the Kroc Institute for International Peace Studies at Notre Dame. He is the founder of Aunalytics, a data science company. Summary of Activities/Interests: He directs the Notre Dame Interdisciplinary Center for Network Science and Applications (iCeNSA) and the Data Inference Analytics and Learning Lab (DIAL). diff --git a/src/data/compiled_bios/2983.txt b/src/data/compiled_bios/2983.txt new file mode 100644 index 0000000000..bbab6c4efe --- /dev/null +++ b/src/data/compiled_bios/2983.txt @@ -0,0 +1 @@ +Name: Danny Z. Chen Title: Professor College: Department of Computer Science and Engineering Job: Professor Department: College of Engineering Email:dchen@nd.edu Phone: 574-631-8804 Office: 326E Cushing Hall Website: http://www.nd.edu/~dchen/ Education: Ph.D., Computer Science, Purdue University, 1992 M.S., Computer Science, Purdue University, 1988 B.S., Computer Science and Mathematics, University of San Francisco, 1985 Biography: Dr. Chen has developed many efficient sequential and parallel algorithms for solving fundamental geometric, graphic, and combinatorial problems, and has published over 150 journal and conference papers in these areas. In addition, he has given many invited talks on his research work at conferences, research institutes, and computer science departments in the US, Canada, Europe, and Asia. Summary of Activities/Interests: Computational geometry and applications, biomedical imaging, automated medical treatment and diagnosis, parallel algorithms, machine learning. diff --git a/src/data/compiled_bios/2984.txt b/src/data/compiled_bios/2984.txt new file mode 100644 index 0000000000..e6b080be9c --- /dev/null +++ b/src/data/compiled_bios/2984.txt @@ -0,0 +1 @@ +Name: David Chiang Title: Associate Professor College: Department of Computer Science and Engineering Job: Associate Professor Department: College of Engineering Email:dchiang@nd.edu Phone: 574-631-9441 Office: 326D Cushing Hall Website: http://www.nd.edu/~dchiang/ Education: Ph.D., Computer and Information Science, University of Pennsylvania, 2004 A.B./S.M., Computer Science, Harvard University, 1997 Biography: Chiang's research is on computational models for learning human languages, particularly how to translate from one language to another. His work on applying formal grammars and machine learning to translation has been recognized with two best paper awards (at ACL 2005 and NAACL HLT 2009). He has received research grants from DARPA, NSF, and Google, has served on the executive board of NAACL and the editorial board of Computational Linguistics and JAIR, and is currently on the editorial board of Transactions of the ACL. Summary of Activities/Interests: Natural language processing, machine learning, and digital humanities. diff --git a/src/data/compiled_bios/2985.txt b/src/data/compiled_bios/2985.txt new file mode 100644 index 0000000000..6c86f4bcdf --- /dev/null +++ b/src/data/compiled_bios/2985.txt @@ -0,0 +1 @@ +Name: Jane Cleland-Huang Title: Professor College: Department of Computer Science and Engineering Job: Professor Department: College of Engineering Email:janeclelandhuang@nd.edu Phone: 574-631-3637 Office: 354 Fitzpatrick Website: http://sarec.nd.edu/pages/ClelandHuang.html Education: Ph.D., University of Illinois-Chicago, 2002 Summary of Activities/Interests: Software requirements traceability, software architecture, and the application of machine learning and data mining methods to address large-scale software and systems engineering problems. diff --git a/src/data/compiled_bios/2986.txt b/src/data/compiled_bios/2986.txt new file mode 100644 index 0000000000..6237aef720 --- /dev/null +++ b/src/data/compiled_bios/2986.txt @@ -0,0 +1 @@ +Name: Adam Czajka Title: Assistant Professor College: Department of Computer Science and Engineering Job: Assistant Professor Department: College of Engineering Email:aczajka@nd.edu Phone: 574-631-7072 Office: 321B Stinson-Remick Hall Website: http://adamczajka.pl Education: D.Sc. ("habilitation") in Computer Science, Warsaw University of Technology, 2018 Ph.D. in Biometrics, Warsaw University of Technology, 2005 M.Sc. in Computer Control Systems, Warsaw University of Technology, 2000 Biography: Adam Czajka is an Assistant Professor in the Department of Computer Science and Engineering in the College of Engineering here at the University of Notre Dame. He received his M.Sc. in Computer Control Systems and Ph.D. in Biometrics from Warsaw University of Technology (WUT), Poland, both with the highest honors. Recently, Dr. Czajka has been awarded a D.Sc. degree ("habilitation") in Computer Science, also from WUT. His scientific interests include biometrics and security, computer vision, and machine learning. Summary of Activities/Interests: Biometrics (CSE 40537/60537): Spring 2019 (students attending the class and invited guests can find all course materials on SAKAI) Spring 2018 -- course webpage (public content) Spring 2017 -- course webpage (public content) Fall 2014 -- course webpage (public content) Computer Vision (CSE 40535/60535): Fall 2018 (students attending the class and invited guests can find all course materials on SAKAI) Fall 2017 -- course webpage (public content) Spring 2016 -- course webpage (public content) Neural Networks (CSE 40868/60868): Fall 2016 -- course webpage (public content) diff --git a/src/data/compiled_bios/2987.txt b/src/data/compiled_bios/2987.txt new file mode 100644 index 0000000000..d67566c891 --- /dev/null +++ b/src/data/compiled_bios/2987.txt @@ -0,0 +1 @@ +Name: Patrick J Flynn Title: Professor and Chair College: Department of Computer Science and Engineering Job: Duda Family Professor of Engineering Department: College of Engineering Email:flynn@nd.edu Phone: 574-631-8803 Office: 384A Fitzpatrick Hall Website: http://www.nd.edu/~flynn Education: Ph.D, Michigan State University, 1990 M.S., Computer Science, Michigan State University, 1986 B.S., Electrical Engineering, Michigan State University, 1985 Biography: Patrick J. Flynn received the B.S. in Electrical Engineering (1985), the M.S. in Computer Science (1986), and the Ph.D. in Computer Science (1990) from Michigan State University, East Lansing. He has held faculty positions at Notre Dame (1990-1991, 2001-present), Washington State University (1991-1998), and Ohio State University (1998-2001). His research interests include computer vision, biometrics, and image processing. Summary of Activities/Interests: Dr. Flynn is an IEEE Fellow, an IAPR Fellow, and a past Associate Editor of IEEE Trans. on Information Forensics and Security, IEEE Trans. on Image Processing, IEEE Trans. on Pattern Analysis and Machine Intelligence, Pattern Recognition and Pattern Recognition Letters. He is also a past Associate Editor-in-Chief of IEEE Trans. on Pattern Analysis and Machine Intelligence. He is currently the Editor-in-Chief of the IEEE Biometrics Compendium, IEEE's first virtual journal. He has received outstanding teaching awards from Washington State University and the University of Notre Dame. diff --git a/src/data/compiled_bios/2988.txt b/src/data/compiled_bios/2988.txt new file mode 100644 index 0000000000..1b9baacb38 --- /dev/null +++ b/src/data/compiled_bios/2988.txt @@ -0,0 +1 @@ +Name: Sandra Gesing Title: Research Assistant Professor College: Department of Computer Science and Engineering Job: Research Assistant Professor Department: College of Engineering Email:sandra.gesing@nd.edu Phone: 574-631-3693 Office: 123 Information Technology Center Website: http://www.nd.edu/~sgesing Education: Ph.D, University of Tbingen, Germany, 2013 M.S., Computer Sciences, FernUniversitt Hagen, Germany, 2005 B.S., Westflische Wilhelms-Universitt Mnster, Germany, 1994 Biography: I'm a research assistant professor at the Department of Computer Science and Engineering and a computational scientist at the Center for Research Computing at the University of Notre Dame. Summary of Activities/Interests: Prior to the position at Notre Dame, I was a research associate in the Data-Intensive Research Group at the University of Edinburgh, UK, in the area of data-intensive workflows and in the Applied Bioinformatics Group at the University of Tbingen, Germany, in the area of science gateways and grid computing. Additionally, I have perennial experience as a project manager and system developer in industry. As head of a system programmer group, I have led long-term software projects (e.g. infrastructure on web-based applications) for a major insurance company. I received my German diploma in computer science from extramural studies at the FernUniversitt Hagen and my PhD in computer science from the University of Tbingen, Germany. diff --git a/src/data/compiled_bios/2989.txt b/src/data/compiled_bios/2989.txt new file mode 100644 index 0000000000..63e072c2d4 --- /dev/null +++ b/src/data/compiled_bios/2989.txt @@ -0,0 +1 @@ +Name: Xiaobo Sharon Hu Title: Professor College: Department of Computer Science and Engineering Job: Professor Department: College of Engineering Email:shu@nd.edu Phone: 574-631-6015 Office: 323A Cushing Website: http://www.nd.edu/~shu/ Education: Ph.D., Electrical Engineering, Purdue University, 1989 M.S., Electrophysics, Polytechnic University of New York, 1984 B.S., Engineering, Tianjin University (Tianjin, China), 1982 Summary of Activities/Interests: Dr. Hu's research spans several areas including hardware-software codesign, real-time embedded systems, low-power system design, and computer-aided treatment planning. An underlying characteristic common to these topics is the employment of algorithm design and analysis techniques to solve problems arising from real-world applications. She has published a number of papers in these areas and obtained a variety of research grants from both federal and private industry sources. diff --git a/src/data/compiled_bios/299.txt b/src/data/compiled_bios/299.txt new file mode 100644 index 0000000000..5fcaa04f93 --- /dev/null +++ b/src/data/compiled_bios/299.txt @@ -0,0 +1 @@ + Toggle navigation Ioannis Karamouzas Home Publications Press Ioannis Karamouzas Assistant Professor Clemson University School of Computing Contact ioannis at clemson edu About me I am an Assistant Professor in the School of Computing . My research revolves around robotics, interactive virtual worlds, and data science. Before coming to Clemson, I was a postdoctoral researcher in the Department of Computer Science & Engineering at the University of Minnesota. I received my PhD in Computer Science from Utrecht University , where I developed motion planning algorithms for crowd simulation purposes, working under the supervision of Prof. Mark Overmars and Prof. Frank van der Stappen . Research My main research interests include motion planning, crowd simulation, and data analysis. I am particularly interested in the development of motion planning algorithms for virtual humans, autonomous robots and crowds of virtual characters. See below for some recent work. Publications | Google Scholar | LinkedIn Teaching Spring 2019: I'm teaching Motion Planning ( CPSC 8810 ), and Intro to AI (CPSC 4820/6820). CPSC 4820/6820 is a new course with the goal of providing an introduction to the fundamental concepts of Artificial Intelligence and Machine Learning. Topics will include: agents, uninformed and informed search techniques, reinforcement learning, perceptrons, and deep learning. The course is suitable for undergraduate and young graduate students to gain a solid technical background and as a preparation for more advanced work in AI. See the course website for details. Fall 2018: CPSC 4040/6040. I am teaching Computer Graphics Images this fall. See the course website for details. Spring 2018: CPSC 8810. I am teaching motion planning this semester. We will cover different techniques with applications to robotics, and interactive computer graphics. The class will involve programming assignments, as well as a final project, either simulation-based or on a Turtlebot . See the course website for details. Fall 2017: CPSC 4040/6040. The class will focus on the theory and practice behind the generation and manipulation of digital images. Topics include image representation and storage, color systems, affine and general warps, compositing, morphing, and non-photorealistic transformations. See the course website for details. Spring 2017: CPSC 8050. The class will focus on motion planning techniques for robotics and computer graphics with topics that include A*, dynamic programming, local collision avoidance, kalman filtering, numerical optimization, etc. See the course website and here for more details. Fall 2016: CPSC 6040 - Computer Graphics Images. Recent Projects Pedestrian Interaction Law Planning Under Uncertainty Implicit Integration for Anticipatory Systems Multi-agent Navigation Under Uncertainty News New paper at SIGGRAPH Asia 2018 on learning a representative space of local navigation scenarios from pedestrian data, and automatically recommending appropriate crowd navigation methods for a scenario in hand. I'm on the program committee of AAAI-19 . The conference will take place in Hawaii. Funded postdoc in character/humanoid control and planning. See here for details. Feel free to contact me if you're interested. New paper at SCF 2018 on controlling material properties of textile using embroidery-based stitching. Congratulations to Ella Moore. I've finally had some time to put the Implicit Crowds code online . New paper on adaptive learning for multi-agent navigation will appear on Autonomous Robots . Thrilled to give an ivited talk on "Human Data and Learning for Multi-Agent Navigation" at CIMAT - Computer Science seminar series in Guanajuato, 12/07/2017. I'm on the AAMAS - Robotics track program committee. This year AAMAS is part of the Federated AI Meeting that takes place in Stockholm July 9-19. I'm on the program committee of AAAI-18 . See everybody in New Orleans! Gave an invited talk at the College of Charleston - Computer Science Research Speaker series, 11/14/2017. New paper on local collision avoidance under sensing uncertainty will be presented at RSS 2017 . Congratulations to Zahra Forootaninia. Gave an invited talk at Pedestrian Dynamics: Modeling, Validation and Calibration topical workshop, organized by ICERM - Brown University , 08/22/2017. New paper on implicit integration for crowd dynamics will be presented at SIGGRAPH 2017 . More information is available here. Congratulations to Devin Lange for his paper at EuroVis 2017. Some advice on how to act if you get caught up in a crowd. I'm on the program committee of IJCAI 2017 . Consider submitting a paper! I've recently been appointed as an associate editor for Elseviers' Robotics and Autonomous Systems journal. We are expanding the DPA program to the city of Charleston! Students and post-graduates interested in the areas of robotics, animation, and graphics feel free to contact me. Our new paper on inferring agent types for navigation problems will appear at IJCAI . Our paper on coverage planning under sensing and localization uncertainty will appear at IEEE Robotics and Automation Letters and be presented at ICRA 2016 . Our paper on implicit coordination in multi-agent navigation has been accepted at AAAI-16 . The new Game AI Pro2 book, which includes our chapter about anticipatory collision avoidance, is out. Our new analysis of a large corpus of pedestrian data reveals the existence of a universal power law governing pedestrian interactions. See here for details and related code. Code for the Predictive Avoidance Model developed during my PhD is available here . Back to top Ioannis Karamouzas. 2016 This page was made with Bootstrap diff --git a/src/data/compiled_bios/2990.txt b/src/data/compiled_bios/2990.txt new file mode 100644 index 0000000000..33d85cbbd4 --- /dev/null +++ b/src/data/compiled_bios/2990.txt @@ -0,0 +1 @@ +Name: Meng Jiang Title: Assistant Professor College: Department of Computer Science and Engineering Job: Assistant Professor Department: College of Engineering Email:mjiang2@nd.edu Phone: 574-631-7454 Office: 326C Cushing Hall Website: http://www.meng-jiang.com Education: Ph.D., Computer Science and Technology, Tsinghua University, 2015 B.E., Computer Science and Technology, Tsinghua University, 2010 Biography: Dr. Meng Jiang obtained his Ph.D. from Tsinghua University with Dissertation Award in 2015. He worked at the University of Illinois at Urbana-Champaign as a Postdoctoral Research Associate from 2015 to 2017. He visited Carnegie Mellon University for 9 months in 2012-2013 and University of Maryland, College Park and United States Army Research Laboratory for two months in 2016. His research focuses on developing data-driven approaches of online behavior analysis for applications such as future behavior prediction, social recommendation, fraud detection, and event summarization. It is at the intersection of social media analysis, spatiotemporal data mining, text mining, information extraction, machine learning, and artificial intelligence. Summary of Activities/Interests: Data science, user behavior modeling, recommender systems, fraud detection, information extraction diff --git a/src/data/compiled_bios/2991.txt b/src/data/compiled_bios/2991.txt new file mode 100644 index 0000000000..f6dd8a0651 --- /dev/null +++ b/src/data/compiled_bios/2991.txt @@ -0,0 +1 @@ +Name: Taeho Jung Title: Assistant Professor College: Department of Computer Science and Engineering Job: Assistant Professor Department: College of Engineering Email:tjung@nd.edu Phone: 574-631-8322 Office: 351 Fitzpatrick Hall Website: https://sites.nd.edu/taeho-jung/ Education: Ph.D., Computer Science, Illinois Institute of Technology, 2017 B.E., Computer Software, Tsinghua University, 2011 Biography: My work lies at the intersection of cybersecurity research and big data research. I am interested in exploring the security and privacy issues existing in the world of big data, and my primary goal is to advance and integrate the cybersecurity research and big data research to solve such problems. Summary of Activities/Interests: Big data security, user privacy, privacy-preserving computation, accountability diff --git a/src/data/compiled_bios/2992.txt b/src/data/compiled_bios/2992.txt new file mode 100644 index 0000000000..1ea41026ef --- /dev/null +++ b/src/data/compiled_bios/2992.txt @@ -0,0 +1 @@ +Name: Peter Kogge Title: Ted H. McCourtney Professor College: Department of Computer Science and Engineering Job: Concurrent Professor Department: Department of Electrical Engineering Email:kogge@nd.edu Phone: 574-631-6763 Office: 326A Cushing Website: http://www.nd.edu/~kogge/ Education: Ph.D., Electrical Engineering, Stanford University, 1973 M.S., Systems & Engineering Sciences, Syracuse University, 1970 B.S., Electrical Engineering, University of Notre Dame, 1968 Summary of Activities/Interests: diff --git a/src/data/compiled_bios/2993.txt b/src/data/compiled_bios/2993.txt new file mode 100644 index 0000000000..e51e0751d7 --- /dev/null +++ b/src/data/compiled_bios/2993.txt @@ -0,0 +1 @@ +Name: Shreya Kumar Title: Assistant Professional Specialist College: Department of Computer Science and Engineering Job: Assistant Professional Specialist Department: College of Engineering Email:shreya.kumar@nd.edu Phone: 574-631-7381 Office: 378 Fitzpatrick Website: http://www.nd.edu/~skumar5 Education: Ph.D., Michigan Technological University, 2015 Biography: Dr. Shreya Kumar is an Assistant Teaching Professor in the Computer Science and Engineering department at the University of Notre Dame. Summary of Activities/Interests: She received her Ph.D. in Computer Science from Michigan Technological University, and B.E. in Computer Engineering from the University of Pune, India. diff --git a/src/data/compiled_bios/2994.txt b/src/data/compiled_bios/2994.txt new file mode 100644 index 0000000000..1121369d17 --- /dev/null +++ b/src/data/compiled_bios/2994.txt @@ -0,0 +1 @@ +Name: Gregory R. Madey Title: Research Professor College: Department of Computer Science and Engineering Job: Research Professor Department: College of Engineering Email:gmadey@nd.edu Phone: 574-631-8752 Office: 325B Cushing Hall Website: http://www.nd.edu/~gmadey/ Education: Ph.D., Operations Research, Case Western Reserve University, 1984 M.S., Operations Research, Case Western Reserve University, 1979 M.S., Mathematics, Cleveland State University, 1975 B.S., Mathematics, Cleveland State University, 1974 Summary of Activities/Interests: Dr. Madey's research focuses on the use of computer science to develop solutions to a wide range of problems. Recent problem domains include environmental science, the open source software phenomenon, disaster management, modeling & simulation of disease transmission, cyberinfrastructure and bioinformatics. His research is interdisciplinary and draws on theories and topics from database theory, e-Technologies, agent-based simulation, artificial intelligence, emergence and self-organization, chaos and complexity, artificial neural networks, data mining, and operation research. diff --git a/src/data/compiled_bios/2995.txt b/src/data/compiled_bios/2995.txt new file mode 100644 index 0000000000..03cbf95bd6 --- /dev/null +++ b/src/data/compiled_bios/2995.txt @@ -0,0 +1 @@ +Name: Collin McMillan Title: Associate Professor College: Department of Computer Science and Engineering Job: Associate Professor Department: College of Engineering Email:collin.mcmillan@nd.edu Phone: 574-631-1881 Office: 352 Fitzpatrick Hall Website: http://www.nd.edu/~cmc/ Biography: Dr. Collin McMillan is an Associate Professor at the University of Notre Dame. He completed his Ph.D. in 2012 at the College of William & Mary, focusing on source code search and traceability technologies for program reuse and comprehension. Since joining Notre Dame, his work has focused on source code summarization; his goal is to automatically generate English descriptions of source code behavior. Dr. McMillan's work has been recognized with multiple best paper and distinguished paper awards, and the NSF CAREER award. Summary of Activities/Interests: software engineering, maintenance, repository mining, and search diff --git a/src/data/compiled_bios/2996.txt b/src/data/compiled_bios/2996.txt new file mode 100644 index 0000000000..4ba4e4c742 --- /dev/null +++ b/src/data/compiled_bios/2996.txt @@ -0,0 +1 @@ +Name: Ronald A. Metoyer Title: Associate Professor College: Department of Computer Science and Engineering Job: Assistant Dean of Diversity and Special Initiatives Department: College of Engineering Email:rmetoyer@nd.edu Phone: 574-631-5893 Office: 325C Cushing Website: http://www.nd.edu/~rmetoyer/ Education: Ph.D., Computer Science, Georgia Institute of Technology, 2002 B.S., Computer Engineering, University of California at Los Angeles, 1994 Biography: Ronald Metoyer is an Associate Professor of Computer Science and Engineering at the University of Notre Dame. He received his Ph.D. from the Georgia Institute of Technology where he worked in the Graphics, Visualization and Usability Center with a focus on modeling and visualizing the motion of pedestrians in urban and architectural scenes. In 2001, he joined the faculty in the School of Electrical Engineering and Computer Science at Oregon State University and in 2002 he received an NSF CAREER Award for his work in Understanding the Complexities of Animated Content. After 14 years at Oregon State University, Dr. Metoyer joined the University of Notre Dame as an Associate Professor and Assistant Dean in the College of Engineering. Dr. Metoyers research is focused on human-computer interaction and information visualization where he seeks to support end users in dealing with the large amount of data becoming available from a growing number of sources. Summary of Activities/Interests: Dr. Metoyer's research interests are broadly in the areas of human-computer interaction with an emphasis on information visualization and applications in the areas of health and wellness, education, intelligence analysis, and software engineering. diff --git a/src/data/compiled_bios/2997.txt b/src/data/compiled_bios/2997.txt new file mode 100644 index 0000000000..7d54c70076 --- /dev/null +++ b/src/data/compiled_bios/2997.txt @@ -0,0 +1 @@ +Name: Tijana Milenkovic Title: Associate Professor College: Department of Computer Science and Engineering Job: Associate Professor Department: College of Engineering Email:tmilenko@nd.edu Phone: 574-631-8975 Office: 381 Fitzpatrick Hall Website: http://www.nd.edu/~tmilenko/ Education: Ph.D., Computer Science, University of California Irvine, 2010. M.S., Computer Science, University of California Irvine, 2008. B.S., Electrical Engineering, University of Sarajevo, 2005. Biography: My professional positions are as follows. Summary of Activities/Interests: I am the director of the Complex Networks Lab (http://www.cse.nd.edu/~cone/). My research interests are as follows. diff --git a/src/data/compiled_bios/2998.txt b/src/data/compiled_bios/2998.txt new file mode 100644 index 0000000000..e37f3de942 --- /dev/null +++ b/src/data/compiled_bios/2998.txt @@ -0,0 +1 @@ +Name: Matthew Morrison Title: Assistant Professional Specialist College: Department of Computer Science and Engineering Job: Assistant Professional Specialist Department: College of Engineering Email:mmorri22@nd.edu Phone: 574-631-9318 Office: 118A Cushing diff --git a/src/data/compiled_bios/2999.txt b/src/data/compiled_bios/2999.txt new file mode 100644 index 0000000000..014e459fcc --- /dev/null +++ b/src/data/compiled_bios/2999.txt @@ -0,0 +1 @@ +Name: Michael Niemier Title: Associate Professor College: Department of Computer Science and Engineering Job: Associate Professor Department: College of Engineering Email:mniemier@nd.edu Phone: 574-631-3858 Office: 380 Fitzpatrick Hall Website: http://www.nd.edu/~mniemier/ Education: Ph.D., Computer Science & Engineering, University of Notre Dame, 2004 M.S., Computer Science & Engineering, University of Notre Dame, 2000 B.S., Computer Engineering, University of Notre Dame, 1998 Summary of Activities/Interests: The primary focus of Mike's work is on computation beyond the CMOS field effect transistor. He is interested in the design and evaluation of computer architectures for emerging technologies, the integration of heterogeneous technologies to improve computational performance, and non-Boolean computing systems. Mike also has a strong interest in education and is currently working on integrating issues related to nano-scale design into a "conventional" computer science curriculum. diff --git a/src/data/compiled_bios/3.txt b/src/data/compiled_bios/3.txt new file mode 100644 index 0000000000..b9495b452e --- /dev/null +++ b/src/data/compiled_bios/3.txt @@ -0,0 +1 @@ + Gul A Agha Professor 2104 Siebel Center for Comp Sci 201 N. Goodwin Ave. Urbana Illinois 61801 (217) 244-3087 agha@illinois.edu : Primary Research Area Programming Languages / Formal Methods / Software Engineering Research Areas Architecture, Compilers, and Parallel Computing Artificial Intelligence Programming Languages / Formal Methods / Software Engineering Systems and Networking For more information Gul Agha's home page Education Ph.D., Computer & Communication Science, University of Michigan at Ann Arbor, 1985 . Research Interests Parallel and Distributed Algorithms and Applications Network Embedded Systems Software Large-scale Multi-agent Systems Concurrent Programming Languages and Semantics Primary Research Area Programming Languages / Formal Methods / Software Engineering Research Areas Architecture, Compilers, and Parallel Computing Artificial Intelligence Programming Languages / Formal Methods / Software Engineering Systems and Networking For more information Gul Agha's home page . . For more information Gul Agha's home page . diff --git a/src/data/compiled_bios/30.txt b/src/data/compiled_bios/30.txt new file mode 100644 index 0000000000..e6cc244cdd --- /dev/null +++ b/src/data/compiled_bios/30.txt @@ -0,0 +1 @@ + Home Courses Projects Software Bio Books Papers Committees Presentations Students Paul Eller Hassan Eslami Samah Karim Tarun Prabhu William D. Gropp Director and Chief Scientist, National Center for Supercomputing Applications Thomas M. Siebel Chair in Computer Science Computer Science Department University of Illinois Urbana-Champaign Urbana, Illinois Looking for the head of the CS Department? You want Vikram Adve Phone : 217 244 6720 Fax : 217 265 6738 email : wgropp at illinois.edu ORCID : orcid.org/0000-0003-2905-3029 Research Interests My interest is in the use of high performance computing to solve problems that are too hard for other techniques. I have concentrated in two areas: the development of scalable numerical algorithms for partial differential equations (PDEs), especially for the linear systems that arise from approximations to PDEs, and the development of programming models and systems for expressing and implementing highly scalable applications. In each of these areas, I have led the development of software that has been widely adopted. PETSc is a powerful numerical library for the solution of linear and nonlinear systems of equations. MPI is the mostly widely used parallel programming system for large scale scientific computing. The MPICH implementation of MPI is one of the most widely used and is the implementation of choice for the world's fastest machines. A new interest is the development of a Deep Learning Major Research Instrument Project , which combines my interests in HPC software and numerics and high-performance I/O with the revolution in machine learning. Research Opportunities I have an active research program and currently have openings for graduate students, post docs, and scientific programmers. Center for the Exascale simulation of plasma-coupled compustion has a number of openings . Upcoming Presentations Of Special Interest Workshop on Deep Learning for Multimessenger Astrophysics: Real-time Discovery at Scale , October 17-19, 2018 at NCSA. 2016 Ken Kennedy Lecture at SC16. Our report on Future Directions for NSF Advanced Computing Infrastructure to Support U.S. Science and Engineering in 2017-2020 is now available! The report is freely available at that link, and provides a framework for NSF's advanced computing for the future (not just until 2020). Video of lectures at the 2016 ATPESC . Using MPI, 3rd edition and Using Advanced MPI released! Using MPI is an extensive revision, including new material on MPI-2.2 and MPI-3. Using Advanced MPI is a replacement for Using MPI-2 , and includes new material on the MPI-3 one-sided interface, the new tools interface, and Fortran, as well as extensive revisions throughout. Now available: The SC13 opening session video , including award presentations and Genevieve Bell's keynote. See Genevieve Bell's Keynote The Secret Life of Data (a subset of the full opening session) Changing How Programmers Think about Parallel Programming , ACM Webinar. See this link for questions and answers PETSc wins an R&D 100 award in 2009. MPICH2 wins an R&D 100 award in 2005. Current Program Committees SC18 Workshop Program Committee SC18 Test of time award Committee EuroMPI'18 Program Committee Computer Science Department University of Illinois Urbana-Champaign diff --git a/src/data/compiled_bios/300.txt b/src/data/compiled_bios/300.txt new file mode 100644 index 0000000000..110db12aa0 --- /dev/null +++ b/src/data/compiled_bios/300.txt @@ -0,0 +1 @@ + About me Resume Research Teaching Practice Blog Privacy decision-making Privacy in Location-sharing UX of Recommender Systems Adaptive Advice Human-like Agents TechInno Vound/Aduna Google Fiesta PicturePal diff --git a/src/data/compiled_bios/3000.txt b/src/data/compiled_bios/3000.txt new file mode 100644 index 0000000000..25d9c0d93a --- /dev/null +++ b/src/data/compiled_bios/3000.txt @@ -0,0 +1 @@ +Name: Corey Pennycuff Title: Assistant Professional Specialist, Assistant Teaching Professor College: Department of Computer Science and Engineering Job: Faculty Department: College of Engineering Email:cpennycu@nd.edu Phone: 574-631-0305 Office: 382 Fitzpatrick Website: https://nd.edu/~cpennycu Education: Ph.D., Computer Science, University of Notre Dame, 2018 M.S., Computer Science, Midwestern State University, 2012 B.M., Piano Performance, Midwestern State University, 2011 diff --git a/src/data/compiled_bios/3001.txt b/src/data/compiled_bios/3001.txt new file mode 100644 index 0000000000..edac63dbfd --- /dev/null +++ b/src/data/compiled_bios/3001.txt @@ -0,0 +1 @@ +Name: Christian Poellabauer Title: Associate Professor College: Department of Computer Science and Engineering Job: Associate Professor Department: College of Engineering Email:cpoellab@nd.edu Phone: 574-631-9131 Office: 323B Cushing Hall Website: http://www.nd.edu/~cpoellab Education: Ph.D., Georgia Institute of Technology, May 2004 Diplom-Ingenieur, University of Technology Vienna, June 1998 Biography: My research interests span areas such as distributed real-time systems, resource management (e.g., energy management), wireless/mobile networks, wireless sensor networks, vehicular networks, smart phone apps, and pervasive healthcare applications and systems. I direct the Mobile Computing Lab (M-Lab), where we focus on projects such as healthcare technologies, wireless real-time communication, publish/subscribe for mobile/wireless environments, resource-efficient broadcast in ad-hoc networks, configurable and customizable QoS routing techniques, experimental test beds for mesh and sensor networks, in-network processing, and context-aware ubiquitous computing. Our group's research is funded through grants by NSF (including a 2006 CAREER award), Office of Naval Research, Army Research Office, Air Force Office of Scientific Research, Motorola (Motorola Labs and Motorola Foundation), IBM (including a 2008 IBM Real-time Innovation Award), Toyota InfoTechnology Center, and Serim Research Corporation. Further, our lab has received hardware donations from Intel Corporation, Motorola Labs, Sprint, and Google. Summary of Activities/Interests: Mobile computing and applications; healthcare technologies; wireless sensor networks; vehicular networks; wireless systems; real-time computing. diff --git a/src/data/compiled_bios/3002.txt b/src/data/compiled_bios/3002.txt new file mode 100644 index 0000000000..969e35beff --- /dev/null +++ b/src/data/compiled_bios/3002.txt @@ -0,0 +1 @@ +Name: Walter Scheirer Title: Assistant Professor College: Department of Computer Science and Engineering Job: Assistant Professor Department: College of Engineering Email:walter.scheirer@nd.edu Phone: 574-631-2436 Office: 321C Stinson-Remick Hall Website: http://www.nd.edu/~wscheire Education: Ph.D., Engineering, University of Colorado, 2009 M.S., Computer Science, Lehigh University, 2006 B.A., Computer Science and International Relations, Lehigh University, 2004 Biography: My research is primarily focused around the problem of recognition, including the representations and algorithms supporting solutions to it. I am particularly interested in features and learning-based methods that apply to both vision and language, thus breaking away from the persistent compartmentalization of recognition tasks (something hinted at by David Marr over 30 years ago). This has led to some interesting, and often unconventional approaches that can be applied to a broad set of areas including computer vision, machine learning, human biometrics, and the digital humanities. Specifically, my work is looking at open set recognition, extreme value theory models for visual recognition, biologically-inspired learning algorithms, and stylometry. Summary of Activities/Interests: Primary interests in Computer Vision, Machine Learning, Biometrics,and Digital Humanities. Specific areas of research include Open Set Recognition, Extreme Value Theory Models for Visual Recognition, Biologically-inspired Learning Algorithms, and Stylometry. diff --git a/src/data/compiled_bios/3003.txt b/src/data/compiled_bios/3003.txt new file mode 100644 index 0000000000..28d1825527 --- /dev/null +++ b/src/data/compiled_bios/3003.txt @@ -0,0 +1 @@ +Name: Yiyu Shi Title: Associate Professor College: Department of Computer Science and Engineering Job: Concurrent Associate Professor Department: Department of Electrical Engineering Email:yshi4@nd.edu Phone: 574-631-6520 Office: 325D Cushing Website: http://www.nd.edu/~scl/index.html Education: Ph.D., Electrical Engineering, University of California at Los Angeles, 2009 Biography: Dr. Yiyu Shi is currently an associate professor in the Department of Computer Science and Engineering and Electrical Engineering (concurrent appointment) at the University of Notre Dame, and the director of Sustainable Computing Lab (SCL). He was an assistant professor in the Electrical and Computer Engineering Department at Missouri University of Science and Technology from 2010 to 2015, where he was the site founding co-director of the NSF I/UCRC Net-Centric Software and Systems Center. Summary of Activities/Interests: His current research interests include low-power design, three-dimensional integration, hardware security and renewable energy applications. In recognition of his research, eight of his papers have been nominated for the Best Paper Award and one paper have received the Best Paper in Track, all in top conferences (DAC'05, ICCAD'07, ICCD'08, ASPDAC'09, DAC'09, ISPD'13, ICCAD'14, ISPD'15, DAC'16). He was also the recipient of IBM Invention Achievement Award in 2009, Japan Society for the Promotion of Science (JSPS) Faculty Invitation Fellowship, Humboldt Research Fellowship, IEEE St. Louis Section Outstanding Educator Award, Academy of Science (St. Louis) Innovation Award, Missouri S&T Faculty Excellence Award, NSF CAREER Award, IEEE Region 5 Outstanding Individual Achievement Award, all in 2014, and the Air Force Summer Faculty Fellowship in 2015 and 2016. He has served on the technical program committee of many international conferences including DAC, ICCAD, DATE, ISPD, ASPDAC and ICCD. He is also a member of IEEE CEDA Publicity Committee and IEEE Smart Grid R&D Committee, and an associate editor of IEEE TCAD, ACM JETC, VLSI Integration, IEEE VLSI CAS Newsletter, IEEE TCCCPS Newsletter and ACM SIGDA Newsletter. He is a senior member of IEEE. diff --git a/src/data/compiled_bios/3004.txt b/src/data/compiled_bios/3004.txt new file mode 100644 index 0000000000..e82d73ecd4 --- /dev/null +++ b/src/data/compiled_bios/3004.txt @@ -0,0 +1 @@ +Name: Aaron D Striegel Title: Professor College: Department of Computer Science and Engineering Job: Executive Committee Department: Wireless Institute Email:striegel@nd.edu Phone: 574-631-6896 Office: 211B Cushing Website: http://sites.nd.edu/aaron-striegel Education: Ph. D, Computer Engineering, Iowa State University, Dec. 2002 B.S., Computer Engineering, Iowa State University, Dec. 1998 Biography: Prof. Aaron Striegel is currently a Professor in the Department of Computer Science & Engineering at the University of Notre Dame. He also serves on the Executive Committee of the Wireless Institute at the University of Notre Dame. He previously served as Associate Department Chair, from May of 2012 to June of 2018.Prof. Striegel received his Ph.D in 2002 in Computer Engineering at Iowa State University under the direction of Dr. G. Manimaran. Prof. Striegels research interests focus on instrumenting the wireless networked ecosystem to gain insight with respect to user behavior and optimizing network performance. Flagship projects of Prof. Striegel include the NetSense, NetHealth, and now IARPA MOSAIC projects involving the instrumentation and analysis of data from hundreds of smartphones and wearables over a nearly six year period of continuous data streaming. Further research interests of Prof. Striegel include heterogeneous network optimization (cellular, WiFi), content distribution via edge device pre-staging, and network security dynamics. Prof. Striegel has also successfully led undergraduate research utilizing low-cost gaming peripherals for education and rehabilitation. Prof. Striegel has published over one hundred peer-reviewed papers in the literature with multiple best paper awards including USENIX LISA, IEEE Healthcom, and HotPlanet. Throughout his career, Prof. Striegel has been able to fund his work with research and equipment funding from NSF, NIH, IARPA, DARPA, Keck Futures Institute, and numerous industrial entities (Google, Sprint, Nokia, Intel, HP, Sun). He was recipient of a NSF CAREER award in 2004 and has participated in several symposia as an invited participant with notable instances including the National Academy of Engineering symposium on the Frontiers of Engineering Education and the symposium on the Informed Brain in the Digital World. Prof. Striegel has also served in various roles in the community including recently serving as the general chair of ICCCN 2016. Summary of Activities/Interests: Computer NetworkingComputer SecurityHuman Computer Interfacing diff --git a/src/data/compiled_bios/3005.txt b/src/data/compiled_bios/3005.txt new file mode 100644 index 0000000000..0de6ca92aa --- /dev/null +++ b/src/data/compiled_bios/3005.txt @@ -0,0 +1 @@ +Name: Douglas Thain Title: Professor and Associate Department Chair College: Department of Computer Science and Engineering Job: Professor Department: College of Engineering Email:dthain@nd.edu Phone: 000-000-0000 Office: 384C Fitzpatrick Website: http://www.nd.edu/~dthain/ Education: Ph.D., Computer Sciences, University of Wisconsin at Madison, 2004 M.S., Computer Sciences, University of Wisconsin at Madison, 1999 B.S., Physics, University of Minnesota at Twin Cities, 1997 Biography: Prof. Douglas Thain is a Professor in the Department of Computer Science and Engineering at the University of Notre Dame. He received the B.S. in Physics from the University of Minnesota - Twin Cities and the M.S. and Ph.D. in Computer Sciences from the University of Wisconsin - Madison, where he contributed to the Condor distributed computing system. At Notre Dame, he works closely with researchers in multiple fields of science and engineering to attack scientific problems using large scale computing. His research team creates and publishes open source software that is used around the world to harness large scale computing systems such as clusters, clouds, and grids. Summary of Activities/Interests: Distributed computing, scientific computing, cloud computing, grid computing, operating systems, open source software, file and storage systems, compilers and languages. diff --git a/src/data/compiled_bios/3006.txt b/src/data/compiled_bios/3006.txt new file mode 100644 index 0000000000..c1263b6267 --- /dev/null +++ b/src/data/compiled_bios/3006.txt @@ -0,0 +1 @@ +Name: Chaoli Wang Title: Associate Professor College: Department of Computer Science and Engineering Job: Associate Professor Department: College of Engineering Email:chaoli.wang@nd.edu Phone: 574-631-9212 Office: 383 Fitzpatrick Website: http://www.nd.edu/~cwang11 Education: Ph.D., Computer and Information Science, The Ohio State University, 2006 Biography: Dr. Chaoli Wang is an associate professor of computer science and engineering at University of Notre Dame. He received a Ph.D. degree in computer and information science from The Ohio State University in 2006. Prior to joining Notre Dame, he was a postdoctoral researcher at University of California, Davis (2007-2009) and an assistant professor of computer science at Michigan Technological University (2009-2014). Dr. Wang's main research interest is scientific visualization, in particular on the topics of time-varying multivariate data visualization, flow visualization, and information-theoretic algorithms and graph-based techniques for big data analytics. He received the NSF CAREER Award in 2014. Summary of Activities/Interests: Scientific visualization, big data analytics, user interface and interaction, information visualization, visualization in education. diff --git a/src/data/compiled_bios/3007.txt b/src/data/compiled_bios/3007.txt new file mode 100644 index 0000000000..5528e8338c --- /dev/null +++ b/src/data/compiled_bios/3007.txt @@ -0,0 +1 @@ +Name: Dong Wang Title: Assistant Professor College: Department of Computer Science and Engineering Job: Assistant Professor Department: College of Engineering Email:dwang5@nd.edu Phone: 574-631-3749 Office: 214B Cushing Website: http://www.nd.edu/~dwang5 Education: Ph.D, Computer Science, University of Illinois at Urbana-Champaign, 2012 M.S., Electrical Engineering, Peking University B.S., Electrical Engineering, University of Electronic Science and Technology of China Biography: I am an assistant professor in theCollege of Engineeringat theUniversity of Notre Dame, with appointments in theInterdisciplinary Center for Network Science and Applications (iCeNSA)andDepartment of Computer Science and Engineering. I received my Ph.D. degree in Computer Science atUniversity of Illinois at Urbana Champaign (UIUC)in December 2012, under ProfessorTarek F. Abdelzaher. I got my Master's degree in Electrical Engineering fromPeking University (PKU), and Bachelor degree in Electrical Engineering fromUniversity of Electronic Science and Technology of China (UESTC). Summary of Activities/Interests: Big Data Analytics, Cyber-Physical Systems (CPS), Social Sensing, Smart Cities, Internet of Things (IoT), Network Science diff --git a/src/data/compiled_bios/3008.txt b/src/data/compiled_bios/3008.txt new file mode 100644 index 0000000000..0e633d591c --- /dev/null +++ b/src/data/compiled_bios/3008.txt @@ -0,0 +1 @@ +Name: Tim Weninger Title: Assistant Professor College: Department of Computer Science and Engineering Job: Assistant Professor Department: College of Engineering Email:tweninge@nd.edu Phone: 574-631-6770 Office: 353 Fitzpatrick Hall Website: http://www.nd.edu/~tweninge/ Education: Ph.D., Computer Science, University of Illinois at Urbana-Champaign, 2013 Biography: I work in "network science", with a particular focus on multimodal/heterogeneous information networks. My research lies at the intersection of machine learning and databases and information retrieval. Summary of Activities/Interests: Network science, data science, machine learning, databases, and information retrieval. diff --git a/src/data/compiled_bios/3009.txt b/src/data/compiled_bios/3009.txt new file mode 100644 index 0000000000..e181591b48 --- /dev/null +++ b/src/data/compiled_bios/3009.txt @@ -0,0 +1 @@ +Name: Panos Antsaklis Title: H. Clifford and Evelyn A. Brosey Chair Professor College: Department of Electrical Engineering Job: Concurrent Professor Department: Department of Computer Science and Engineering Email:antsaklis.1@nd.edu Phone: 574-631-5792 Office: 205A Cushing Hall Website: http://www.nd.edu/~pantsakl/ Education: Ph.D, Brown University, 1977 M.S., Brown University B.S., University of Notre Dame Biography: Panos J. Antsaklis is the H.Clifford and Evelyn A. Brosey Professor of Engineering and Concurrent Professor of Computer Science and Engineering. and of Applied and Computational Mathematics and Statistics at the University of Notre Dame. He holds a Diploma in Mechanical and Electrical Engineering from the National Technical University of Athens (NTUA), Greece, and holds MS and PhD degrees in Electrical Engineering from Brown University. His area of research is Automatic Control Systems. He has authored two graduate textbooks, "Linear Systems" (McGraw-Hill 1997 and Birkhauser 2006, with A.N. Michel).and "A Linear Systems Primer" (Birkhauser 2007, with A.N. Michel), and two research monographs, "Supervisory Control of Discrete Event Systems Using Petri Nets" (Kluwer Academic 1998; with J. Moody) and "Supervisory Control of Concurrent Systems: A Petri Net Structural Approach" (Birkhauser 2006, with M.V. Iordache). He was Guest Editor of the IEEE Transactions on Automatic Control Special Issue on Networked Control Systems (with John Baillieul, September 2004) and of the Special Issue on Networked Control Systems Technology of the Proceedings of the IEEE (with John Baillieul, January 2007). He was Guest Editor of special issues on Hybrid Control Systems in the IEEE Transactions on Automatic Control (with A. Nerode; 1998), and in the Proceedings of the IEEE in July 2000. He has been plenary and keynote speaker in a number of conferences, and he is the recipient of several teaching awards at the University of Notre Dame. He is an IEEE Fellow for his contributions to the theory of feedback stabilization and control of linear multivariable systems, IEEE Third Millennium Medal recipient, and the 2006 recipient of the Brown Engineering Alumni Medal (BEAM). He is the Editor-in-Chief of the IEEE Transactions on Automatic Control, one of the leading journals in the field of Control Systems. Summary of Activities/Interests: Research Interests: My research group focuses on Cyber Physical Networked Embedded Systems and addresses problems in the interdisciplinary research area of Control, Computing and Communication Networks, and on Hybrid and Discrete Event Dynamical Systems. It addresses problems of control and automation and examines ways to design engineering systems that will exhibit high degree of autonomy in performing useful tasks. Application areas include transportation, manufacturing, and chemical process systems, as well as computer and communication networks. My work includes analysis of behavior based on mathematical models and design of control strategies for complex autonomous, intelligent, learning and reconfigurable systems. RESEARCH HIGHLIGHTS AND PERSONAL REFLECTIONS First, a few words about my research vision and the way I work, so to make clearer (especially to future PhD students) the reasons for having selected the specific areas of research described below. I work closely with students in research and I allow significant freedom in the selection of PhD research topics. I encourage individuality and excellence, and I expect love of the subject, enthusiasm and intellectual curiosity. I think the Systems and Controls area is a truly great research area and I expect my students to feel the same way. I try to be responsive to future application needs, as in my opinion this is where a University should be conducting its research, keeping an eye down the road, and focusing primarily on defining and articulating new methods and solving new problems in novel ways, without excluding of course extending a helping hand if requested by industry practitioners. The concern for addressing effectively future research needs in applications has led me to move onto novel research areas with my group and play leading roles in those areas. In the late 80s my group helped establish Autonomous Intelligent Control in the mainstream control research community; in the early 90s, we introduced Supervisory Control of Discrete Event Systems (DES) using Petri nets; in the mid-90s we helped establish Hybrid Control Systems and influenced its research directions; more recently we are involved in Networked Control Systems, in the Distributed Control of Multi-agent Systems and in Cyber-Physical Systems research. Recent funded projects include methods to design Cyber-Physical Systems based on passivity, and Supervisory Control of Discrete Event Systems using Petri Nets to derive methods for concurrent programming. Courses: Control Systems, Linear Systems, Mathematical Programming Courses: Control Systems, Control Systems Lab diff --git a/src/data/compiled_bios/301.txt b/src/data/compiled_bios/301.txt new file mode 100644 index 0000000000..dbcab7ce48 --- /dev/null +++ b/src/data/compiled_bios/301.txt @@ -0,0 +1 @@ + Toggle navigation Home Vita Research Teaching Theses Eileen T. Kraemer, PhD Graduate coordinator, Ph.D. program in Human-Centered Computing Dr. Eileen Kraemer joined the faculty at Clemson as the C. Tycho Howle Director of the School of Computing in the summer of 2014. In the spring of 2018 she transitioned to the role of grad coordinator for the HCC PhD program. Prior to her time at Clemson, she served as Professor of Computer Science and Associate Dean of the Franklin College of Arts & Sciences at the University of Georgia. Kraemers research focuses on the intersection of humans and technology, with two major thrusts: human aspects of software development (CS education and software engineering) and human aspects of bioinformatics (design of tools and user interfaces for bioinformatics). Recent Publications: Social Effects of Pair Programming Mitigate Impact of Bounded Rationality A Spirit of Camaraderie: The Impact of Pair Programming on Retention Programming with Concurrency: Threads, Actors, and Coroutines Characterizing Comprehension of Concurrency Concepts Debugging Concurrent Software: A Study Using Multithreaded Sequence Diagrams Clemson University School of Computing | Office: 104 McAdams Hall, Clemson, SC 29634 | 864.656.5874 | etkraem@clemson.edu diff --git a/src/data/compiled_bios/3010.txt b/src/data/compiled_bios/3010.txt new file mode 100644 index 0000000000..3052ad9433 --- /dev/null +++ b/src/data/compiled_bios/3010.txt @@ -0,0 +1 @@ +Name: Sidney D'Mello Title: Adjunct Associate Professor College: Department of Computer Science and Engineering Job: Adjunct Associate Professor Department: College of Engineering Email:sdmello@nd.edu Phone: 574-631-1822 Office: 352 Fitzpatrick Hall and 224C Hagar Hall Website: http://www.nd.edu/~sdmello Education: Ph.D., Computer Science, University of Memphis, 2009 M.S., Mathematical Sciences, University of Memphis, 2004 B.S., Electrical Engineering, Christian Brothers University, 2002 Biography: Sidney DMello is anAssociate Professor in the departments ofPsychologyandComputer Scienceat theUniversity of Notre Dame.His primary research interests are in the cognitive and affective sciences, artificial intelligence, human-computer interaction, and the learning sciences. More specific interests include affective computing, artificial intelligence in education, speech recognition and natural language understanding, and computational models of human cognition. Summary of Activities/Interests: Affective computing, human-computer interaction, artificial intelligence, advanced learning technologies diff --git a/src/data/compiled_bios/3011.txt b/src/data/compiled_bios/3011.txt new file mode 100644 index 0000000000..fe11db4f90 --- /dev/null +++ b/src/data/compiled_bios/3011.txt @@ -0,0 +1 @@ +Name: Scott Emrich Title: Adjunct Associate Professor College: Department of Computer Science and Engineering Job: Adjunct Associate Professor Department: College of Engineering Email:semrich@nd.edu Phone: 000-000-0000 Office: Offsite Website: http://www.nd.edu/~semrich/ Education: Ph.D., Bioinformatics and Computational Biology, Iowa State University, 2007 B.S., Biology and Computer Science, Loyola College in Maryland, 2002 Biography: I received a BS in Biology and Computer Science from Loyola College in Maryland and a PhD in Bioinformatics and Computational Biology from Iowa State University (ISU). Upon graduation, I received a ISU Research Excellence award and the university-wide Zaffrano Prize for Graduate Research. In August 2007, I joined the faculty of the University of Notre Dame (ND). Summary of Activities/Interests: Computational biology, bioinformatics, and high-performance computing. diff --git a/src/data/compiled_bios/3012.txt b/src/data/compiled_bios/3012.txt new file mode 100644 index 0000000000..37b741803f --- /dev/null +++ b/src/data/compiled_bios/3012.txt @@ -0,0 +1 @@ +Name: Jaroslaw Nabrzyski Title: Concurrent Associate Professor College: Department of Computer Science and Engineering Job: Concurrent Associate Professor Department: College of Engineering Email:naber@nd.edu Phone: 574-631-2400 Office: 1020 Jenkins Nanovic Education: Ph.D., Computer Science, Poznan University of Technology, 2000 C.A.S., Business Management, Poznan University of Economics, 1993 M.S., Computer Science, Poznan University of Technology, 1992 Biography: Nabrzyski, before joining the University of Notre Dame, has worked for 13 years at the Poznan Supercomputing and Networking Center in Poland, where he managed the scientific applications department, and later at Louisiana State University where he was executive director of the Center for Computation and Technology (CCT). In this role Nabrzyski was responsible for overseeing CCT's cyberinfrastructure research and development, HPC operations and support, economic development and research enablement. Summary of Activities/Interests: diff --git a/src/data/compiled_bios/3013.txt b/src/data/compiled_bios/3013.txt new file mode 100644 index 0000000000..e4481c34af --- /dev/null +++ b/src/data/compiled_bios/3013.txt @@ -0,0 +1 @@ +Name: Zoltan Toroczkai Title: Concurrent Professor College: Department of Computer Science and Engineering Job: Concurrent Professor Department: College of Engineering Email:toro@nd.edu Phone: 574-631-2618 Office: 225 Nieuwland Science Hall (NSH) Website: http://obelix.phys.nd.edu/~toro/ Education: Ph.D., Theoretical Physics, Virginia Polytechnic Institute and State University, 1997 M.S., Physics, Babes-Bolyai University, 1992 diff --git a/src/data/compiled_bios/3014.txt b/src/data/compiled_bios/3014.txt new file mode 100644 index 0000000000..f766c6d9f9 --- /dev/null +++ b/src/data/compiled_bios/3014.txt @@ -0,0 +1 @@ +Name: Joannes J. Westerink Title: Joseph and Nona Ahearn Professor in Computational Science and Engineering, Professor and Henry J. Massman Department Chairman College: Department of Civil & Environmental Engineering & Earth Sciences Job: Concurrent Professor Department: Department of Computer Science and Engineering Email:jjw@nd.edu Phone: 574-631-6475 Office: 156A Fitzpatrick Hall Website: http://coast.nd.edu Education: Ph.D, Massachusetts Institute of Technology, 1984 M.S., Civil Engineering, State University of New York at Buffalo, 1981 B.S., Civil Engineering, Summa Cum Laude, State University of New York at Buffalo, 1979 Biography: Kaneb Teaching Award, Department of Civil Engineering and Geological Sciences, University. of Notre Dame, 2000 BP Outstanding Teacher of the Year Award, College of Engineering, University of Notre Dame, 2004 Faculty Fellow, John A. Kaneb Center for Teaching and Learning, University of Notre Dame, 2005-2006 U.S. Army Corps of Engineers Interagency Performance Evaluation Task Force Leadership Award, 2007 Department of the Army, Outstanding Civilian Service Medal, 2007 Rev. Edmund P. Joyce, C.S.C. Award for Excellence in Undergraduate Teaching, University. of Notre Dame, 2010.American Society of Civil Engineers Orville T. Magoon Sustainable Coasts Award, 2014.Faculty Award, University of Notre Dame, 2014. Recent Papers: Summary of Activities/Interests: Graham, L.C., T. Butler, S. Walsh, C. Dawson, J.J. Westerink, "A Measure-Theoretic Algorithm for Estimating Bottom Friction in a Coastal Inlet: Case Study of Bay St. Louis during Hurricane Gustav (2008),Monthly Weather Review,145(3), 929-954, 2017. diff --git a/src/data/compiled_bios/3015.txt b/src/data/compiled_bios/3015.txt new file mode 100644 index 0000000000..998551b365 --- /dev/null +++ b/src/data/compiled_bios/3015.txt @@ -0,0 +1 @@ +Name: Eugene Walter Henry Title: Professor Emeritus College: Department of Computer Science and Engineering Job: Professor Emeritus Department: Department of Electrical Engineering Email:ewh@cse.nd.edu Phone: 574-631-6408 Office: 316 Cushing Hall Website: http://www.nd.edu/~ehenry Biography: Ph.D. Electrical Engineering, Stanford University, 1960 Summary of Activities/Interests: Control systems, simulation and computer design diff --git a/src/data/compiled_bios/3016.txt b/src/data/compiled_bios/3016.txt new file mode 100644 index 0000000000..94cbfa7dd1 --- /dev/null +++ b/src/data/compiled_bios/3016.txt @@ -0,0 +1 @@ +Name: John Uhran Title: Professor Emeritus College: Department of Computer Science and Engineering Job: Professor Emeritus Department: Department of Electrical Engineering Email:juhran@nd.edu Phone: 574-631-7423 Office: 307 Cushing Hall Education: Ph.D., Electrical Engineering, Purdue University, 1967 Biography: Dr. Uhranhas helped develop several laboratories at the University and is now the Senior Associate Dean of the College of Engineering. He has published over 90 technical papers and 30 reports and has given many presentations at a variety of conferences sponsored by IEEE and ASEE. In recent years, he has been very active in ASEE as the Chair of the ASEE Illinois-Indiana Section, Chair of the Instrumentation Division, and member of the Board of Directors. His most recent research interests have involved the study of autonomous robots using various new sensor formats, the study of the effect and use of Internet technology for the classroom, and the evolution of engineering curricula. He will again be on the Board of Directors of ASEE beginning in June 2006. Summary of Activities/Interests: Dr. Uhran has specialized in communication theory and systems, signal processing techniques, simulation techniques, and artificial intelligence, especially robotics, while maintaining a special interest in engineering education. diff --git a/src/data/compiled_bios/3017.txt b/src/data/compiled_bios/3017.txt new file mode 100644 index 0000000000..e4422c1852 --- /dev/null +++ b/src/data/compiled_bios/3017.txt @@ -0,0 +1 @@ + Academica Directory Contact Aim Higher Search: Search Admissions Programs Students Faculty Research Alumni Community partners About Menu College of Engineering Dr. Suzan Arslanturk Assistant Professor, Department of Computer Science Contact Welcome I am an Assistant Professor in the Department of Computer Science at Wayne State University. I received my B.Sc. in Computer Engineering and MS and PhD degrees in Computer Science and Informatics in 2011 and 2015, respectively. I have worked as a research scientist for a healthcare consulting company in Michigan while completing my Ph.D. Before joining Wayne State, I was an Assistant Professor at Ozyegin University, Istanbul in School of Business, Department of Management Information Systems. My research interests are in the area of data mining, descriptive and predictive modeling, and probabilistic graphical models with applications in healthcare. If you are interested in joining my group to pursue research for a Ph.D. or M.S., please visit my Research Group page . News Wayne State receives $1 million NSF grant to support commuter students in engineering Wayne State research can distinguish between aggressive and less aggressive cancer More news Events Blood Drive - Engineering Building February 21, 2018 at 11:00 a.m. More events Main Menu Admissions Programs Students Faculty Research Alumni Community partners About Research Teaching Research Group Publications Presentations Twitter Facebook YouTube Flickr LinkedIn Department of Computer Science Wayne State University 5057 Woodward Avenue, Detroit, MI 48202 313-577-6782 Privacy and University Policies Wayne State University 2018 diff --git a/src/data/compiled_bios/3018.txt b/src/data/compiled_bios/3018.txt new file mode 100644 index 0000000000..051524631c --- /dev/null +++ b/src/data/compiled_bios/3018.txt @@ -0,0 +1 @@ + Toggle navigation Toggle navigation Home Introduction Short Biography CV (PDF) Grants SEVERE Lab Publications Selected All Awards Software Courses Media coverage Service Advising Students' Awards Amiangshu Bosu, Ph.D. Assistant Professor Department of Computer Science Wayne State University 5057 Woodward Ave., Suite# 14200.1 Detroit, MI 48202 Tel: (313) 577-0731 Email: amiangshu.bosu@wayne.edu Tweets by abosu EXPAND ALL SECTIONS COLLAPSE ALL SECTIONS Introduction I am a tenure-track Assistant Professor in the Department of Computer Science at Wayne State University . Prior to joining WSU, I was a tenure-track assistant professor at SIU Carbondale (2016-2018). I completed my Ph.D. dissertation work at University of Alabama in 2015 under the supervision of Professor Jeffrey Carver and conducted postdoctoral research under the guidance of Dr. Danfeng Yao at Virginia Tech. My general research interests lie in the area of software engineering. My research spans peer code review, software security, android security, blockchain software development, malware detection, cybersecurity, mining software repositories, empirical software engineering, and social network analysis. Announcement: I am looking for hard-working and self-motivated Ph.D. students to work on Software Engineering areas. If you are interested, please email me your resume and test scores. I will consider only the students with decent credentials (e.g., GPA > 3.25 on the scale of 4.00 and GRE Quantitative score > 162). Short Biography CV (PDF) Grants Grants National Science Foundation CRII: SHF: Improving the Retention of Newcomers in FLOSS Projects With Useful and Timely Code Reviews , PI: Amiangshu Bosu, Amount: $174,967, Duration: 2019-2021. DARPA Detection of Malware Collusion (Subcontract from Virginia Tech.), PI: Amiangshu Bosu, Amount: $25,000, Duration: 2016. Publications Selected Publications All Publications SANER'2019 Rajshakhar Paul, Amiangshu Bosu , and Kazi Zakia Sultana. 2019. Expressions of Sentiments during Code Reviews: Male vs. Female. In Proceedings of the 26th IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER '19), Hangzhou, China. ESEM'2018 Partha Chakroborty, Rifat Shahriyar, Anindya Iqbal, and Amiangshu Bosu . 2018. Understanding the Software Development Practices of Blockchain Projects: A Survey. In Proceedings of the 12th IEEE/ACM International Symposium on Empirical Software Engineering and Measurement (ESEM 2018). ASE'2017 Toufique Ahmed, Amiangshu Bosu , Anindya Iqbal, and Shahram Rahimi. 2017. SentiCR: a customized sentiment analysis tool for code review interactions. In Proceedings of the 32nd IEEE/ACM International Conference on Automated Software Engineering (ASE 2017). Asia CCS'2017 Amiangshu Bosu , Fang Liu, Danfeng (Daphne) Yao, and Gang Wang. 2017. Collusive Data Leak and More: Large-scale Threat Analysis of Inter-app Communications. In Proceedings of the 2017 ACM on Asia Conference on Computer and Communications Security (ASIA CCS '17). TSE'2017 Amiangshu Bosu , Jeffrey C. Carver, Christian Bird, Jonathan Orbeck, and Christopher Chockley. 2017. Process Aspects and Social Dynamics of Contemporary Code Review: Insights from Open Source Development and Industrial Practice at Microsoft. IEEE Trans. Softw. Eng. 43, 1 (January 2017), 56-75. ICSE'2017 Amanda Lee, Jeffrey C. Carver, and Amiangshu Bosu . 2017. Understanding the impressions, motivations, and barriers of one time code contributors to FLOSS projects: a survey. In Proceedings of the 39th International Conference on Software Engineering (ICSE '17). IEEE Press, Piscataway, NJ, USA, 187-197. MSR'2015 Amiangshu Bosu , Michaela Greiler, and Christian Bird. 2015. Characteristics of useful code reviews: an empirical study at Microsoft. In Proceedings of the 12th Working Conference on Mining Software Repositories (MSR '15). IEEE Press, Piscataway, NJ, USA, 146-156. FSE'2014 Amiangshu Bosu , Jeffrey C. Carver, Munawar Hafiz, Patrick Hilley, and Derek Janni. 2014. Identifying the characteristics of vulnerable code changes: an empirical study. In Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations of Software Engineering (FSE 2014). ACM, New York, NY, USA, 257-268. JSS'2014 Amiangshu Bosu , Jeffrey Carver, Rosanna Guadagno, Blake Bassett, Debra McCallum, Lorin Hochstein, Peer impressions in open source organizations: A survey , Journal of Systems and Software, Volume 94, 2014, Pages 4-15. ESEM'2014 Amiangshu Bosu and Jeffrey C. Carver. 2014. Impact of developer reputation on code review outcomes in OSS projects: an empirical investigation. In Proceedings of the 8th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM '14). ACM, New York, NY, USA, , Article 33 , 10 pages. ESEM'2013 Amiangshu Bosu and Jeffrey C. Carver, "Impact of Peer Code Review on Peer Impression Formation: A Survey ," 2013 ACM / IEEE International Symposium on Empirical Software Engineering and Measurement, Baltimore, MD, 2013, pp. 133-142. All Publications Awards Awards 2015 Outstanding Graduate Researcher Department of Computer Science, University of Alabama. 2014 Outstanding Graduate Researcher Department of Computer Science, University of Alabama. 1st Place Doctoral division ACM Mid-Southeast Conference, November 2011. Finalist ACM Student Research Competition, ICSE 2014. ACM SIGSOFT CAPS Travel Grant To attend ICSE 2014. NSF Student Travel Grant To attend ESEM 2013. Software Software DIALDroid A highly scalable tool to identify inter-app collusions and privilege escalations among Android apps. IC3-DIALDroid An updated intent resolution tool for Android apps. SentiCR An automated sentiment analysis tool for code review comments. SentiSE Sentiment Analysis for Software Engineering Interactions. Courses Courses CSC 4110 Software Engineering: Fall 2018, Winter 2019 CS 435 (SIUC) Software Engineering: Spring 2016, Spring 2017, Spring 2018. CS 305 (SIUC) Software Development Practices: Fall 2016, Fall 2017. CS 304 (SIUC) Advanced Object-Oriented Programming: Fall 2017. Media Coverage Selected Media Coverage More Wayne State Engineering How peer code reviews affect gender diversity in software engineering , January 18, 2019. The Sun Your smartphone apps are 'secretly colluding' to spy on you in terrifying detail, researchers warn , April 3, 2017. MSN When Apps Secretly Team Up to Steal Your Data , April 7th 2017 Phys.org Android apps can conspire to mine information from your smartphone , April 3, 2017 New Scientist Android apps share data between them without your permission , April 3, 2017 ACM Technews Virginia Tech Researchers: Android Apps Can Conspire to Mine Information From Your Smartphone , April 3, 2017 Science Daily Android apps can conspire to mine information from your smartphone , April 3, 2017 Independent Android Apps Secretly Steal Users' Data By Colluding With Each Other, Finds Research , April 3, 2017 Business Insider Android apps can breach and share your personal data , April 3, 2017 The Hill Thousands of Android apps can 'collude' to leak information, research shows , April 3, 2017 Service Professional Service Journal Editorial Board Journal of System and Software (JSS) : 2018-current Journal and Magazine Referee ACM Transactions in Software Engineering (TOSEM) : 2018; IEEE Transcations in Software Engineering (TSE) : 2015-2019; Empirical Software Engineering (EMSE)2015-2018; IEEE Transactions on Dependable and Secure Computing (TDSC) :2016; Journal of System and Software (JSS) : 2018; IEEE Transportation Systems Magazine (ITSM) : 2018; Information and Software Technology (IST) : 2014, 2017; IET Software : 2014-2017; Information, Communication and Society (ICS) : 2015. Conference Committees Technical program committee: The ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM 2019) Technical program committee, Short paper track: The 23rd The Evaluation and Assessment in Software Engineering (EASE 2019) Technical program committee: 6th International Conference on Networking, Systems and Security (NSyS 2019) Technical program committee: The 23rd International Computer Science and Engineering Conference (ICSEC 2019) Technical program committee: The 25th Asia-Pacific Software Engineering Conference (APSEC 2018) Short papers and posters track: Empirical Software Engineering and Measurement (ESEM): 2016, 2017 Short Papers track, Evaluation and Assessment in Software Engineering (EASE): 2016- 2019 Thailand Workshop on Software Engineering - (THAISE -2015) Technical program committee: ACM Southeast Conference - 2012, 2017 Advising Advising Ph.D. (ongoing) Rajshakhar Paul (WSU) MS. (ongoing) Tanzeer Hossain (WSU) MS. Toufique Ahmed (BUET, co-advised) Undergrad Ayush Kohli (SIUC) Undergrad Jacob Reed (SIUC) Undergrad Alec Waichunas (SIUC) Awards by Mentored Students Awards by Mentored Students Ayush Kohli , Third place, ACM Student Research Competition world final. Ayush and I were invited to the 2018 ACM awards ceremony (i.e., Turing award ceremony). Ayush Kohli , First place, ACM Student Research Competition in the 2017 Foundation of Software Engineering (FSE) conference. Ayush Kohli , 2017 -Best Undergraduate Researcher (Computer Science). Jacob Reed , First place, Undergraduate research category, 2016 ACM Midsoutheast conference. Ayush Kohli , Second place, Undergraduate research category, 2016 ACM Midsoutheast conference. Alec Waichunas , Creative and Scholarly Saluki Rookies (CSSR) research grant. Ayush Kohli , Research Enriched Academic Challenge (REACH) grant. 2018 | A. Bosu. Credits: AR template [AR template available under Creative Commons CC BY 4.0 licence: https://github.com/dmsl/academic-responsive-template ] diff --git a/src/data/compiled_bios/3019.txt b/src/data/compiled_bios/3019.txt new file mode 100644 index 0000000000..9d0571a32d --- /dev/null +++ b/src/data/compiled_bios/3019.txt @@ -0,0 +1 @@ + Wayne State University Warrior strong Login Search Search: Search Admissions Programs Students Faculty Research Alumni Community partners About Menu College of Engineering Dr. Marco Brocanelli Assistant Professor, Department of Computer Science Contact Ph.D. Students Wanted Welcome I am an Assistant Professor in the Computer Science Department of Wayne State University . I received my B.E. and M.E. degrees in Control Systems from the University of Rome Tor Vergata (Italy). I spent the last 6 months of M.E. studies at The Ohio State University (Columbus, Ohio, USA) working on my M.E. thesis under the supervision of Dr. Andrea Serrani and Dr. Luca Zaccarian . After graduation (May 2011), I kept working under the supervision of Dr. Andrea Serrani as a Visiting Scholar and then, in August 2012, I started my Ph.D. in the Power-Aware Computer Systems (PACS) Laboratory under the supervision of Dr. Xiaorui Wang . In August 2018, I received my Ph.D. degree in the Electrical and Computer Engineering program of The Ohio State University. My research interests are in the area of cyber-physical systems, energy-aware systems, Internet of Things (IoT), edge computing, embedded and real-time systems. If you are interested in joining my group as a Ph.D. student, visit my research page for more details. News Wayne State to develop rigorous computing system to better understand internal workings of the human body Computer science alumnus included in Ford's "Thirty Under 30" Becoming industry-ready: engineering students gaining valuable skills through summer internships More news Events Fiat Chrysler Automobiles (FCA) - Info Table and Meet & Greet. September 25, 2018 at 12:00 p.m. More events Main Menu Admissions Programs Students Faculty Research Alumni Community partners About Home Research Publications Teaching Announcements Contact Twitter Facebook YouTube Flickr LinkedIn Dr. Marco Brocanelli Department of Computer Science 5057 Woodward Ave Room 14200.9, Detroit, MI 48202 Phone: (313)-577 5408 Email: brok@wayne.edu Privacy and University Policies Wayne State University 2018 diff --git a/src/data/compiled_bios/302.txt b/src/data/compiled_bios/302.txt new file mode 100644 index 0000000000..ba85f03096 --- /dev/null +++ b/src/data/compiled_bios/302.txt @@ -0,0 +1 @@ + Home Research Teaching Publications Group Service Latest News Our proposal, "Fast algorithms and tools for single molecule sequencing reads" is funded by NSF ABI. June 11th, 2018 Nushrat Humaira joins group. August 23rd, 2017 Nature Methods paper accetped August 21st, 2017 Our paper, "MECAT: fast mapping, error correction, de novo assembly for single-molecule sequencing reads", is acccepted by Nature Methods as a brief communication. Contact Office: 210 McAdams Hall Email: luofeng AT clemson.edu Cell: 864 633 6901 Welcome to Feng Luo's Homepage I am a full professor of School of Computing , Clemson University . I received my PhD degree in computer science from University of Texas at Dallas , August 2004. I was a Post-doctorial senior research associate at Department of Pathology of University of Texas Southwestern Medical Center at Dallas and joined Clemson in 2006. I am a member of IEEE and ACM See my up-to-date Curriculum Vitae and Google Scholar . The fear of the Lord is the beginning of wisdom, And the knowledge of the Holy One is understanding. (Proverbs 9:10) Trust in the LORD with all your heart and lean not on your own understanding; in all your ways acknowledge him, and he will direct your paths. (Proverbs 3:5-6) Copyright black & white | HTML5 | CSS | HTML5 Web Templates diff --git a/src/data/compiled_bios/3020.txt b/src/data/compiled_bios/3020.txt new file mode 100644 index 0000000000..cdbb693455 --- /dev/null +++ b/src/data/compiled_bios/3020.txt @@ -0,0 +1 @@ + Monica Brockmeyer Associate Provost and Associate Professor, Computer Science mab@cs.wayne.edu (313) 577-9001 < View all profiles Monica Brockmeyer Education Ph.D 1999, University of Michigan Research Interests High Assurance Systems, Distributed Systems, Real-Time Systems, Safety-Critical Systems, Formal Methods and Verification, Testing diff --git a/src/data/compiled_bios/3021.txt b/src/data/compiled_bios/3021.txt new file mode 100644 index 0000000000..74f95e65e9 --- /dev/null +++ b/src/data/compiled_bios/3021.txt @@ -0,0 +1 @@ + Stephanie Chastain Undergraduate Academic Advisor 5057 Woodward Ave. Room 3010.1 schastain@wayne.edu 313-577-8834 < View all profiles Stephanie Chastain Biography My role as an academic advisor for the Department of Computer Science began in January 2015. I completed my bachelors degree in psychology honors and university honors at Wayne State. During my undergraduate career, I worked as a supplemental instruction (SI) leader, volunteered in psychology research labs, and created a student organization called Psychology Academic Support Services (PASS). I completed my masters in higher education student affairs administration at Eastern Michigan University, where I was the graduate assistant for supplemental instruction (SI) and taught UNIV 101, which is an introductory course to help freshmen transition from high school to the university. I am passionate about promoting student success and will do my best to mentor and support you throughout your time at Wayne State. diff --git a/src/data/compiled_bios/3022.txt b/src/data/compiled_bios/3022.txt new file mode 100644 index 0000000000..8fdfdfb130 --- /dev/null +++ b/src/data/compiled_bios/3022.txt @@ -0,0 +1 @@ + Brief Bio Publications Software Students Teaching Dr. Chen is a Professor of Computer Science and the founding director of Data Sciences and Analytics Lab (DSAL) in the Department of Computer Science at Wayne State University. He served as the Department Chair between 2012 and 2014. Dr. Chen received his PhD in 2001 from Carnegie Mellon University . His main research interest includes Data Sciences and Advanced Analytics, Data Mining, Machine Learning, Bioinformatics, and Healthcare Informatics. Dr. Chen has published over 100 peer-reviewed papers in these research fields at top journals and conferences such as KDD, ICML, Bioinformatics, and IEEE TKDE. His research is funded by several federal agencies such as the National Science Foundation , National Institutes of Health , as well as some local industry. He serves as an Editorial Board Member for several international journals such as BMC Systems Biology and IEEE Access. He also served as a Conference Chair or Program Chair for several international conferences such as the Thirteen International Conference on Machine Learning and Applications (ICMLA) in 2014, the 21 st ACM Conference on Information and Knowledge Management (CIKM) in 2012, and the IEEE International Conference on Bioinformatics and Biomedicine (BIBM) in 2009. He has also served as a Program Committee Member for numerous international conferences. Research Interests : Big Data, Data Sciences, Machine Learning, Data Mining, Bioinformatics, Healthcare Informatics, Multimedia Data Analytics Selected Recent Publications Keywords: Data Sciences, Big Data, Deep Learning o X. Chen and X. Lin: Big Data Deep Learning: Challenges and Perspectives . IEEE Access , vol. 2, 514-525, 2014; DOI: 10.1109/ACCESS.2014.2325029. Deep learning is currently an extremely active research area in machine learning and pattern recognition society. It has gained huge successes in a broad area of applications such as speech recognition, computer vision, and natural language processing. With the sheer size of data available today, big data brings big opportunities and transformative potential for various sectors; on the other hand, it also presents unprecedented challenges to harnessing data and information. As the data keeps getting bigger, deep learning is coming to play a key role in providing big data predictive analytics solutions. In this paper, we provide a brief overview of deep learning, and highlight current research efforts and the challenges to big data, as well as the future trends. o K. Zhang and X. Chen: Large-scale Deep Belief Nets with MapReduce . IEEE Access , vol. 2, 395-403, 2014; DOI: 10.1109/ACCESS.2014.2319813. Deep belief nets (DBNs) with restricted Boltzmann machines (RBMs) as the building block have recently attracted wide attention due to their great performance in various applications. The learning of a DBN starts with pretraining a series of the RBMs followed by fine-tuning the whole net using backpropagation . Generally, the sequential implementation of both RBMs and backpropagation algorithm takes significant amount of computational time to process massive data sets. The emerging big data learning requires distributed computing for the DBNs. In this paper, we present a distributed learning paradigm for the RBMs and the backpropagation algorithm using MapReduce , a popular parallel programming model. The experimental results demonstrate that the distributed RBMs and DBNs are amenable to large-scale data with a good performance in terms of accuracy and efficiency. o M. Aslan , X. Chen, and H. Cheng: Learning sparse and scale-free networks . 2014 International Conference on Data Science and Advanced Analytics (DSAA) Gaussian networks study undirected interactions between random variables, through the estimation of the precision matrices. Recently, it has been demonstrated that some of the important networks display features similar to scale-free graphs. There have been few works on the learning of the sparse Gaussian graphical models aiming to preserve properties of networks, which are believed to be scale-free or have dominating hubs. We propose a new log-likelihood formulation, which promotes the sparseness of the precision matrix and features of scale-free graphical topology. We used the alternating direction method of multipliers (ADMM) form, which is used for the convex optimization, to solve the general L 1 regularized loss optimization. Our proposed method exhibits better estimation performance on various data sets and number of samples, N. Also, the proposed method and some of the state of the arts methods are tested under various penalty constants to validate the robustness. o Y. Chen, H. Sampathkumar , B. Luo , and X. Chen: iLike : Bridging the semantic gap in vertical image search by integrating text and visual features . IEEE Transactions on Knowledge and Data Engineering , vol. 25(10), pp. 2257-2270, 2013. With the development of Internet and Web 2.0, large-volume multimedia contents have been made available online. It is highly desired to provide easy accessibility to such contents, i.e., efficient and precise retrieval of images that satisfies users' needs. Toward this goal, content-based image retrieval (CBIR) has been intensively studied in the research community, while text-based search is better adopted in the industry. Both approaches have inherent disadvantages and limitations. In this paper, we present iLike , a vertical image search engine that integrates both textual and visual features to improve retrieval performance. We bridge the semantic gap by capturing the meaning of each text term in the visual feature space, and reweight visual features according to their significance to the query terms. We also bridge the user intention gap because we are able to infer the "visual meanings" behind the textual queries. Last but not least, we provide a visual thesaurus, which is generated from the statistical similarity between the visual space representation of textual terms. Experimental results show that our approach improves both precision and recall, compared with content-based or text-based image retrieval techniques. More importantly, search results from iLike are more consistent with users' perception of the query terms. o H. Cheng, Z. Liu, L. Yang, and X. Chen: Sparse representation and learning in visual recognition: theory and applications . Signal Processing , 93(6): 1408-1425, 2012. Sparse representation and learning has been widely used in computational intelligence, machine learning, computer vision and pattern recognition, etc. Mathematically, solving sparse representation and learning involves seeking the sparsest linear combination of basis functions from an overcomplete dictionary. A rational behind this is the sparse connectivity between nodes in human brain. This paper presents a survey of some recent work on sparse representation, learning and modeling with emphasis on visual recognition. It covers both the theory and application aspects. We first review the sparse representation and learning theory including general sparse representation, structured sparse representation, high-dimensional nonlinear learning, Bayesian compressed sensing, sparse subspace learning, non-negative sparse representation, robust sparse representation, and efficient sparse representation. We then introduce the applications of sparse theory to various visual recognition tasks, including feature representation and selection, dictionary learning, Sparsity Induced Similarity (SIS) measures, sparse coding based classification frameworks, and sparsity -related topics. o M. Wasikowski and X. Chen: Combating the Small Sample Class Imbalance Problem Using Feature Selection . IEEE Transactions on Knowledge and Data Engineering ,, vol. 22(10): 1388-1400, 2010. The class imbalance problem is encountered in real-world applications of machine learning and results in a classifier's suboptimal performance. Researchers have rigorously studied the resampling, algorithms, and feature selection approaches to this problem. No systematic studies have been conducted to understand how well these methods combat the class imbalance problem and which of these methods best manage the different challenges posed by imbalanced data sets. In particular, feature selection has rarely been studied outside of text classification problems. Additionally, no studies have looked at the additional problem of learning from small samples. This paper presents a first systematic comparison of the three types of methods developed for imbalanced data classification problems and of seven feature selection metrics evaluated on small sample data sets from different applications. We evaluated the performance of these metrics using area under the receiver operating characteristic (AUC) and area under the precision-recall curve (PRC). We compared each metric on the average performance across all problems and on the likelihood of a metric yielding the best performance on a specific problem. Our results showed that signal-to-noise correlation coefficient (S2N) and Feature Assessment by Sliding Thresholds (FAST) are great candidates for feature selection in most applications, especially when selecting very small numbers of features. Keywords: Bioinformatics & Healthcare Informatics o H. Sampathkumar , X. Chen, and B. Luo : Mining Adverse Drug Reactions from Online Healthcare Forums Using Hidden Markov Model . BMC Medical Informatics and Decision Making , 14:91, 2014 Adverse Drug Reactions (ADRs) are one of the leading causes of injury or death among patients undergoing medical treatments. Not all ADRs are identified before a drug is made available in the market. Current post-marketing drug surveillance methods, which are based purely on voluntary spontaneous reports, are unable to provide the early indications necessary to prevent the occurrence of such injuries or fatalities. The objective of this research is to extract reports of adverse drug side-effects from messages in online healthcare forums and use them as early indicators to assist in post-marketing drug surveillance. We treat the task of extracting adverse side-effects of drugs from healthcare forum messages as a sequence labeling problem and present a Hidden Markov Model (HMM) based Text Mining system that can be used to classify a message as containing drug side-effect information and then extract the adverse side-effect mentions from it. The results from the HMM based Text Miner are encouraging to pursue further enhancements to this approach. The mined novel side-effects can act as early indicators for health authorities to help focus their efforts in post-marketing drug surveillance. o Z. Zhang, Z. Hailat , M. J. Falk, and X. Chen: Integrative analysis of independent transcriptome data for rare diseases . METHODS , 69(3): 315-325, 2014 High-throughput technologies have been generating a great amount of publicly available gene expression data. For rare diseases that lack of clinical samples and research funding, there is a practical benefit to jointly analyze existing data sets commonly related to a specific rare disease. In this study, we collected a number of independently generated transcriptome data sets from four species: human, fly, mouse and worm. All data sets included samples with both normal and abnormal mitochondrial function. We reprocessed each data set to standardize format, scale and gene annotation and used HomoloGene database to map genes between species. Standardized procedure was also applied to compare gene expression profiles of normal and abnormal mitochondrial function to identify differentially expressed genes. We further used meta-analysis and other integrative analyses to recognize patterns across data sets and species. Novel insights related to mitochondrial dysfunction was revealed via these analyses, such as a group of genes consistently dysregulated by impaired mitochondrial function in multiple species. This study created a template for the study of rare diseases using genomic technologies and advanced statistical methods. All data and results generated by this study are freely available and stored at http://goo.gl/nOGWC2 , to support further data mining. o J. Jeong and X. Chen: A new semantic functional similarity over gene ontology . IEEE Trans. On Computational Biology and Bioinformatics , 12(2), 322-334, 2014. Identifying functionally similar or closely related genes and gene products has significant impacts on biological and clinical studies as well as drug discovery. In this paper, we propose an effective and practically useful method measuring both gene and gene product similarity by integrating the topology of gene ontology, known functional domains and their functional annotations. The proposed method is comprehensively evaluated through statistical analysis of the similarities derived from sequence, structure and phylogenetic profiles, and clustering analysis of disease genes clusters. Our results show that the proposed method clearly outperforms other conventional methods. Furthermore, literature analysis also reveals that the proposed method is both statistically and biologically promising for identifying functionally similar genes or gene products. In particular, we demonstrate that the proposed functional similarity metric is capable of discovering new disease related genes or gene products. o X. Chen, J. Jeong , and P. Dermyer : KUPS: Constructing datasets of interacting and non-interacting protein pairs with associated attributes . Nucleic Acids Research , 2011, Jan; 39:D750-4. KUPS (The University of Kansas Proteomics Service) provides high-quality proteinprotein interaction (PPI) data for researchers developing and evaluating computational models for predicting PPIs by allowing users to construct ready-to-use data sets of interacting protein pairs (IPPs), non-interacting protein pairs (NIPs) and associated features. Multiple filters and options allow the user to control the make-up of the IPPs and NIPs as well as the quality of the resultant data sets. Each data set is built from the overall database, which includes 185 446 IPPs and 1.5 billion NIPs from five primary databases: IntAct , HPRD, MINT, UniProt and the Gene Ontology. The IPP set can be set to specific model organisms, interaction types and experimental evidence. The NIP set can be generated using four different strategies, which can alleviate biased estimation problems. Lastly, multiple features can be provided for all of the IPP and NIP pairs. Additionally, KUPS provides two benchmark data sets to help researchers compare their algorithms to existing approaches. KUPS is freely available at http://www.ittc.ku.edu/chenlab . o A. Senf and X. Chen ,: dentification of Genes Involved in the Same Pathway Using a Hidden Markov Model-based Approach . Bioinformatics , 25(22): 2945-2954, 2009. The sequencing of whole genomes from various species has provided us with a wealth of genetic information. To make use of the vast amounts of data available today it is necessary to devise computer-based analysis techniques. We propose a Hidden Markov Model (HMM) based algorithm to detect groups of genes functionally similar to a set of input genes from microarray expression data. A subset of experiments from a microarray is selected based on a set of related input genes. HMMs are trained from the input genes and a group of random gene input sets to provide significance estimates. Every gene in the microarray is scored using all HMMs and significant matches with the input genes are retained. We ran this algorithm on the life cycle of Drosophila microarray data set with KEGG pathways for cell cycle and translation factors as input data sets. Results show high functional similarity in resulting gene sets, increasing our biological insight into gene pathways and KEGG annotations. The algorithm performed very well compared to the Signature Algorithm and a purely correlation-based approach. Software and Services (by our group) o KUPS Proteomics Service (for protein-protein interactions) o DDINet A network of interacting protein domains o CSIDOP Protein function assignment o Microarray HMM for Microarray analysis o KU GOAL Gene Ontology Analysis layer o Other bioinformatics applications o Invertebrate Paleontology Knowledgebase PhD Students, Post-doc, Visiting Scholars Current Graduate Students, Post-doc, and Visiting Scholars o Melih Aslan (Postdoc) o Kunlei Zhang (Postdoc) o Weiwei Zong (Postdoc) o Mingyu You, PhD, Visiting Scholar, 2014 2015 ( Tongji University, China) o Zeyad Hailat (PhD student, 2012 - ) o Tarik Khalid Alafif (PhD student, 2012 - ) o Artem Komaruchev (PhD student, 2013 - ) o Jing Yu (PhD student, 2013 - ) o Elaheh Rashedi (PhD student, 2014 - ) o Iatuma Itauma (MS student) o Yingbo Jiang (MS student) o Ruoyun Pang (MS student) o Faria Mahnaz (MS student) Former Group Members o Changlin Ma, PhD, Visiting Scholar, 2013 2014 (currently Huazhong Normal University, China) o Jiangsheng Yu, postdoc, currently Senior Data Scientist, Tokyo Electron America, California, USA o Huilin Xiong , Postdoc, currently Professor at Shanghai Jiaotong University, Shanghai, China o Mei liu , PhD, currently Assistant Professor at University of Kansas Medical Center o Alex Senf , PhD, currently with European Bioinformatics Institute (EBI), UK o Jong Cheol Jeong , PhD, currently Postdoc, Harvard University, USA o Meeyong Park, PhD, currently Postdoc, University of Michigan, USA o Bing Han, PhD, Senior Machine Learning Data Scientists, Intertrust Technologies Corporation, CA Teaching Fall 2015: CSC5991 Foundations of Data Science Big Data are omnipresent in contemporary scientific, engineering, government, social and business applications. It contains a huge amount of information that cannot be analyzed by traditional data analytic tools. Consequently, data science has emerged as a new and exciting discipline that explores novel techniques and theories, rooted in many fields such as mathematics, statistics, computer science, and information theory, for extracting knowledge from Big Data. This course will cover foundational aspects of data science such as optimization, informatics theory, and machine learning. It is designed to prepare students with the theoretical foundations and practical skills in analyzing data. diff --git a/src/data/compiled_bios/3023.txt b/src/data/compiled_bios/3023.txt new file mode 100644 index 0000000000..1ab03a966f --- /dev/null +++ b/src/data/compiled_bios/3023.txt @@ -0,0 +1 @@ + Ming Dong Professor, Co-Director Department of Computer Science , Data Science and Business Analytics Program , Big Data &Business Analytics Group College of Engineering , Wayne State University Office: 5057 Woodward Ave., Suite 14110.1, Detroit, MI, 48202 Phone:(313)577-0725 , Email: mdong at wayne dot edu Google Scholar News Dec 2018, Shixing Chen sucessfully defended his dissertation entitled Deep Learning beyond Traditional Supervision, Congratulations, Dr. Shixing Chen! Oct 2018, Haotian Xu sucessfully defended his dissertation entitled Representation Learning with CNNs, Congratulations, Dr. Haotian Xu! Sept 2018, Hajar Emami Gohari won the third places in both 2018 ACM Richard Tapia Poster Competition and the ACM Student Research Competition . Congratulations! See the news at https://src.acm.org/winners/2019 Apirl 2018, Shixing Chen is selected for Michael E. Conrad Outstanding Graduate Research Publication award, Congratulations! March 2018, Congratulations to Shixing for MIPR 2018 NSF travel award and CVPR 2018 Doctoral Consortium Award! Febuary 2018, Prof. Ming Dong is appointed as an associate editor of Statistical Analysis and Data Mining , the American Statistical Association (ASA) Data Science Journal Febuary 2018, S. Chen, C. Zhang and M. Dong , "Coupled End-to-end Transfer Learning with Generalized Fisher Information", is accepted by CVPR 2018 . Source code link in Github December 2017, Wang, L, Zhu, D, Li, Y and Dong, M, " Modeling Over-dispersion for Network Data Clustering ", is selcted as the Best Paper Award Top 3 Finalist in16th IEEE International Conference on Machine Learning and Application, Cancun, Mexico. Two papers accepted by CVPR 2017 and ICCV 2017 . Short Bio Ming Dong received his B. S. degrees in electrical engineering and industrial management engineering from Shanghai Jiao Tong University , Shanghai, China, in 1995. He received his Ph. D degree in electrical engineering from University of Cincinnati in 2001. He is currently a professor in the Department Computer Science and the co-director of the Data Science and Business Analytics program and the Big Data & Business Analytics Group at Wayne State University. He is also the director of the Machine Vision and Pattern Recognition Lab . Dr. Dong's areas of research include deep learning, data mining, and computer vision with applications in health informatics and automotive industry . His research is funded by National Science Foundation, National Institutes of Health, State of Michigan, Private Foundations (e.g., Michigan Health Endorsement Fund, Epilepsy Foundation) and Industries (e.g., APB Investment, Ford Motor Company). He has published over 100 technical articles in premium journals and conferences in related fields, e.g., TMM, TPAMI, TKDE, TNN, TVCG, TC, IEEE CVPR, IEEE ICCV, IEEE ICDM, ACM MM, AMIA and WWW . He is/was an associate editor of Statistical Analysis and Data Mining, the American Statistical Association (ASA) Data Science Journal (since 2018), Journal of Smart Health (Since 2016), IEEE Transactions on Neural Networks (2008-2011), and Pattern Analysis and Applications (2007-2010), and served in many conference program committees and US National Science Foundation panels. He also served as senior research consultant in Baidu Inc. in 2008. Funding External Henry Ford Health System , Development of "Deep Patients" for Radiation Oncology, 2018 - 2019, $50,000, PI: Ming Dong Epilepsy Foundation , The Sound of Seizures: Audio-triggered Seizure Detection, 2017 - 2018, $75,000, PI: Maysaa Basha, Co-PI: Ming Dong, News Release Michigan Health Endorsement Fund , BusMe: An ehealth Platform to Reduce Pediatric Health Disparities by Improving Public Transportation Access in Detroit, 2017 -2018, $100,000, PIs: Ming Dong, Rayman Mohamed and Elizabeth Towner Ford Motor Company , Facial Image-based Obese Driver Estimation Using Deep Learning Convolutional Neural Network, 2016 -2017, $25,000, PI: Ming Dong NSF , Promoting a Healthier Urban Community: Prioritization of Risk Factors for the Prevention and Treatment of Pediatric Obesity, 2016 to 2018, $200,000, PI: Ming Dong, Co-PIs: D. Zhu and E.Towner, News Release NIH , Automated Coding of eCoaching Exchanges to Promote Healthier Eating, 2016 to 2018, $425,000, PI: A. Carcone, Co-investigator Ford Motor Company , University Research Program, Video-based driver monitoring system, 2015-2019, $190,000, PI: Ming Dong NSF , CRI:IAD Acquisition of Research Infrastructure for Knowledge-enhanced, Large-scale Learning of Multimodality Visual Data , 2008 to 2011, $297,300, PI: Ming Dong, Co-PIs: Jing Hua, E.Mark Haacke, Farshad Fotouhi. NSF , Integrated Modeling and Learning of Multimodality Data across Subjects for Brain Disorder Study, 2007 to 2011, $324,938, PI: Jing Hua, Co-PI: Ming Dong. State of Michigan , 21st Century Jobs Fund: HyperEye: Susceptibility Weighted Imaging-based Informatics Tools for Brain Tumor Studies, 2007 to 2011, $830,277.00, PI: Ming Dong, Co-PIs: Jing Hua, Mark Haacke, Vivek Segal. NSF , Instrument Acquisition for Endangered Languages Research: Development of an Ontology-Based Toolbox, 2005 to 2008, $294,200, PI: Farshad Fotouhi, Co-PIs: Anthony Aristar, Ming Dong, Hasan Jamil, Shiyong Lu. ABP Investments , Netherlands: Trading model development based on recognition and analysis of visual technical patterns, January 1, 2005 to December 31, 2005, $82,500, PI: Ming Dong State of Michigan , Life Science Corridor: Integration of Bioengineering and Biocomputing to Advance Michigan Computer-Assisted Surgery Research, 2003 to 2006, $3,442,150, PI: Vipin Chaudhary, Co-PIs: Ming Dong and 7 others. Internal Wayne State University Center for Peace and Conflict Studies: Using topic Models to Understand Federal Child Welfare Policy Making, 2013 to 2014, $25,000, PIs: Ming Dong and Heather Edwards Wayne State University Research Enhancement Program: EpiView: A Software Tool to Identify and Visualize Clinical Evidence of Human Epilepsy Foci from Electronic Medical Records, 2013 to 2015, $108,000, PI: Ming Dong, Co-PIs: Jing Hua and Otto Muzik Wayne State University Research Enhancement Program: Advanced Technologies in Language Engineering: a Digital Library for Endangered Languages, August 1st, 2003 to July 31st, 2006, $200,000, PI: Farshad Fotouhi, Co-PIs: Ming Dong and 7 others. Wayne State University Research Enhancement Program: Fast Security Assessment and Effective Security Enhancement in Chemical Plants using Advanced Computing Methods, August 1st, 2003 to July 31st, 2006, $340,585, PI: Yinlun Huang, Co-PIs: Ming Dong, Jeffrey Potoff. Wayne State University Faculty Research Grant: A Novel Data Complexity Measure and Its Application on Functional Magnetic Resonance Imaging, $7,000, 2004, PI: Ming Dong. Selected Publications ( Full Publications ) Hajar Emami, Ming Dong, Siamak P. Nejad-Davarani, and Carri Glide-Hurst, " Generating Synthetic CTs from Magnetic Resonance Images using Generative Adversarial Networks ", Medical Physics Journal , Vol. 45, Issue 8, pp. 3627-3636, August 2018 S. Chen, C. Zhang and M. Dong, Deep Age Estimation: From Classification to Ranking , IEEE Trans. on Multimedia ( TMM ) , Vol. 20, Issue 8, pp. 2209-2222, August 2018. S. Chen, C. Zhang and M. Dong , " Coupled End-to-end Transfer Learning with Generalized Fisher Information ", Proc. of IEEE Conference on Computer Vision and Pattern Recognition ( IEEE CVPR ), Salt Lake City, UT, June 2018. Wang, L, Zhu, D and Dong, M, " Clustering over-dispersed data with mixed feature types ", Statistical Analysis and Data Mining , Vol 11, Issue 2, pp. 55-65, April 2018. F. Zhang, Q. Mao, X. Shen, Y. Zhan and M. Dong, " Spatially Coherent Feature Learning for Pose-invariant Facial Expression Recognition ", ACM Transactions on Multimedia Computing, Communications and Applications ( TOMM ) , Vol. 4, Issue 1s, No. 27, April 2018. Mehedi Hasan, Alexander Kotov, April Idalski Carcone, Ming Dong, Sylvie Naar, " Predicting the Outcome of Patient-Provider Communication Sequences using Recurrent Neural Networks and Probabilistic Models ", AMIA Infomatics Summit ( AMIA ) , San Francisco, CA, March 2018. Li, X, Zhu, D and Dong, M, " Multinomial classification with class-conditional overlapping sparse feature groups ", Pattern Recognition Letters ( PRL ) , vol. 101, pp 37-43, Jan. 2018. Wang, L, Zhu, D, Li, Y and Dong, M, " Modeling Over-dispersion for Network Data Clustering ", Proc. of 16thIEEEInternational Conference on Machine Learning and Application , Cancun, Mexico, December 2017. ( Best Paper Award Top 3 Finalist ) H. Xu, M. Dong and Z. Zhong, " Directionally Convolutional Networks for 3D Shape Segmentation ", Proc. of IEEE International Conference on Computer Vision ( IEEE ICCV ) , Venice, Italy, October 2017. Source code link in Github . S. Chen, C. Zhang, M. Dong, J. Le and M. Rao Ranking-CNN for Age Estimation , Proc. of IEEE Conference on Computer Vision and Pattern Recognition (IEEE CVPR) , Honolulu, Hawaii, July 2017. Source code link in Github . Qirong Mao, Yongbin Yu, Feifei Zhang, and Ming Dong, Hierarchical Bayesian Theme Models for Multi-pose Facial Expression Recognition , IEEE Trans. on Multimedia ( TMM ) , Vol. 19, Issue 2, pp. 861-873, April 2017 H. Xu, M. Dong, D. Zhu, A. Kotov, A. Carcone and S. Naar-King, Text Classification with Topic-based Word Embedding and Convolutional Neural Networks , Proc. of ACM Conference on Bioinformatics, Computational Biology, and Health Informatics ( ACM BCB ) , Seattle, WA, 2016. R. Almomani, M. Dong, and D. Zhu, Object Tracking via Dirichlet Process-based Appearance Models , Neural Computing and Applications, Special issues on Computational Intelligence for Vision and Robotics , Volume 28, Issue 5, pp 867-879, 2017. L. Wang, M. Dong and A. Kotov, Multi-level Approximate Spectral Clustering , Proc. of IEEE International Conference on Data Mining ( IEEE ICDM ) , Atlantic City, NJ, 2015. L. Wang and M. Dong, Exemplar-based Low-rank Matrix Decomposition for Data Clustering , Journal of Data Mining and Knowledge Discovery ( DMKD ) , Volume 29, Issue 2, pp 324-357, March 2015. Q. Mao, M. Dong, Z. Huang and Y. Zhan, " Learning Salient Features for Speech Emotion Recognition Using Convolutional Neural Networks ", IEEE Trans. on Multimedia ( IEEE TMM ) , Vol. 16, Issue 8, pp. 2203-2213, December 2014 (Conference version: Speech Emotion Recognition Using CNN , was published in Proc. of ACM International Conference on Multimedia , Orlando, Florida, 2014 as a short paper). L. Wang and M. Dong, Multi-Level Low-rank Approximation-based Spectral Clustering for Image Segmentation , Pattern Recognition Letters ( PRL ) , Vol. 33, pp. 2206 - 2215, 2012. L. Wang, M. Rege, M. Dong and Y. Ding Low-rank Kernel Matrix Factorization for Large Scale Evolutionary Clustering , IEEE Transactions on Knowledge and Data Engineering ( IEEE TKDE ) , Vol. 24, No. 6, pp 1036-1050, 2012. Y. Chen, L. Wang and M. Dong, Non-negative Matrix Factorization for Semi-supervised Heterogeneous Data Co-clustering , IEEE Transactions on Knowledge and Data Engineering ( IEEE TKDE ) , vol. 22, no. 10, pp. 1459-1474, October 2010. Y. Chen, L. Wang, M. Dong and J. Hua, " Exemplar-based Visualization of Large Document Corpus ", IEEE Transactions on Visualization and Computer Graphics ( IEEE TVCG ) , vol. 15, no. 6, pp. 1193-1200, 2009. Guangyu Zou, Jing Hua, Zhaoqiang Lai, Xianfeng Gu, and Ming Dong, " Intrinsic Geometric Scale Space by Shape Diffusion ," IEEE Transactions on Visualization and Computer Graphics ( IEEE TVCG ) , vol. 15, no.6, pp. 1161-1168, 2009. Y. Li, M. Dong and J. Hua, Simultaneous Localized Feature Selection and Model Detection for Gaussian Mixtures , IEEE Transactions on Pattern Analysis and Machine Intelligence ( IEEE TPAMI ) , Vol. 31, No. 5, pp 953 - 960, 2009. J. Hua, Z. Lai, M. Dong, X. Gu, and H. Qin. " Geodesic Distance-Weighted Shape Diffusion ," IEEE Transactions on Visualization and Computer Graphics ( IEEE TVCG ) , Vol. 14, No. 6, pp. 1643-1650, 2008. Y. Chen, M. Rege, M. Dong and J. Hua, Non-negative Matrix Factorization for Semi-supervised Data Clustering , Journal of Knowledge and Information Systems (Springer) , Vol. 17, No. 3, pp. 355 - 379, 2008. (conference version: Incorporating User provided Constraints into Document Clustering , was published in Proc. of IEEE International Conference on Data Mining ( IEEE ICDM ) , Omaha, NE, 2007 as a Regular paper, acceptance rate 7.2%). M. Rege, M. Dong, and F. Fotouhi, Bipartite Isoperimetric Graph Partitioning for Data Co-clustering , Data Mining and Knowledge Discovery (Springer) , Vol. 16, No. 3, pp. 276-312, 2008. (Conference version: Co-clustering documents and words using Bipartite Isoperimetric Graph Partitioning , was published in Proc. of IEEE International Conference on Data Mining ( IEEE ICDM ) , Hong Kong, China, 2006 as a Regular paper, acceptance rate 9.5%). M. Rege, M. Dong and J. Hua, Graph Theoretical Framework for Simultaneously Integrating Visual and Textural Features for Efficient Web Image Clustering , Proc. of 17th International World Wide Web Conference, ( ACM WWW ) , April 2008, China, Regular paper, acceptance rate 11%. Y. Li, M. Dong and J. Hua, " Localized Feature Selection for Clustering ", Pattern Recognition Letters , Vol. 29, pp. 10-18, 2008. C. Yang, M. Dong, and J. Hua, Region-based Image Annotation using Asymmetrical Support Vector Machine-based Multiple-Instance Learning ", Proc. of IEEE Conference on Computer Vision and Pattern Recognition ( IEEE CVPR ) , pp. 2057-2063, New York, NY, 2006. X. Luo, M. Dong and Y. Huang, On Distributed Fault-Tolerant Detection in Wireless Sensor Networks , IEEE Transactions on Computers ( IEEE TC ) , Vol. 55, No. 1, pp. 58-70, 2006. Y. Li , M. Dong and R. Kothari, Classifiability Based Omnivariate Decision Trees ;, IEEE Transactions on Neural Networks ( IEEE TNN ) , Vol. 16, No. 6, pp. 1547 - 1560, 2005. Xushen Zhou and Ming Dong, " Can Fuzzy Logic Make Technical Analysis 20/20 ?" Financial Analysts Journal , Vol. 60, No. 4, pp. 54-73, July/August 2004. M. Dong and R. Kothari, " Look-Ahead Based Fuzzy Decision Tree Induction ", IEEE Transactions on Fuzzy System ( IEEE TFS ) , Vol. 9, No. 3, pp. 461--468, 2001. Professional Services Co-director, Big Data & Business Analytics Group , 2017- Co-director, MS program of Data Science and Business Analytics , 2017- Advisor on Data Management, Graduate School, Wayne State University, 2018- National Science Foundation (NSF), Panelist, 2008- 2017 Associate editor, Statistical Analysis and Data Mining, the American Statistical Association (ASA) Data Science Journal (2018 - ) Associate editor, Smart Health (2017 - ) Graduate Program Director, Department of Computer Science, Wayne State University. 2013 - 2014 Associate editor, IEEE Transactions on Neural Networks (2008 - 2011) Associate editor, Pattern Analysis and Applications (2006 - 2008) Editorial board of International Journal of Technology Enhanced Learning (2007- ) Editorial board of International Journal of Semantic Web and Information Systems (2005-2006) Recent Journal Review for IEEE Transactions on Computers IEEE Transactions on Pattern Analysis and Machine Intelligence IEEE Transactions on Neural Networks IEEE Transactions on Systems, Man and Cybernetics, Part A IEEE Transactions on Systems, Man and Cybernetics, Part B IEEE Transactions on Fuzzy Systems IEEE Transactions on Multimedia IEEE Transactions on Aerospace and Electronic Systems IEEE Transactions on Knowledge and Data Engineering IEEE Multimedia International Journal on Semantic Web and Information Systems Pattern Recognition Pattern Recognition Letters Pattern Analysis and Applications Multimedia Tools and Applications Journal of Computer Vision and Image Understanding Program Committee Member for Various Conferences MVPRL Full Publications Research Teaching diff --git a/src/data/compiled_bios/3024.txt b/src/data/compiled_bios/3024.txt new file mode 100644 index 0000000000..c0cdcafebb --- /dev/null +++ b/src/data/compiled_bios/3024.txt @@ -0,0 +1 @@ + Sorin Draghici Associate Dean for Innovation and Entrepreneurship and Director of the Anderson Institute; Professor, Computer Science sorin@wayne.edu (313) 577-2162 http://vortex.cs.wayne.edu/Sorin/index.htm Google Scholar < View all profiles Sorin Draghici Education Ph.D 1995, St. Andrews University Research Interests Computational biology, systems biology, data integration, disease subtype discovery, drug repurposing Research Group Intelligent Systems and Bioinformatics Laboratory (ISBL) diff --git a/src/data/compiled_bios/3025.txt b/src/data/compiled_bios/3025.txt new file mode 100644 index 0000000000..0cb66d728d --- /dev/null +++ b/src/data/compiled_bios/3025.txt @@ -0,0 +1 @@ + Nathan Fisher Associate Professor, Computer Science, Track lead on Computing and Networking in Cyber-physical Systems fishern@cs.wayne.edu (313) 577- 5421 http://www.cs.wayne.edu/~fishern/ Google Scholar < View all profiles Nathan Fisher Education Ph.D 2007, University of North Carolina at Chapel Hill Research Interests Real-time Systems, Scheduling Theory, Resource Allocation in Distributed Systems, Algorithm Design and Analysis, Embedded Systems diff --git a/src/data/compiled_bios/3026.txt b/src/data/compiled_bios/3026.txt new file mode 100644 index 0000000000..a572f7c25c --- /dev/null +++ b/src/data/compiled_bios/3026.txt @@ -0,0 +1 @@ + Farshad Fotouhi College of Engineering Dean and Professor, Computer Science fotouhi@wayne.edu 313-577-3776 Google Scholar Scopus < View all profiles Farshad Fotouhi Biography Dean Farshad Fotouhi became the 11th dean of the College of Engineering on Feb. 15, 2011. He joined the Wayne State University Department of Computer Science faculty in 1988 and was appointed chair in 2004 after serving as associate chair.Dean Fotouhi received a WSU College of Science Teaching Excellence Award in 1996 and several Best Paper Awards at various national and international conferences. Before joining WSU, he was a faculty member of the Michigan State University Lyman Briggs College. Dean Fotouhi's research interests include Biomedical Informatics, the Semantic Web and Multimedia Systems. He has published more than 180 papers in journals and conference proceedings. His research has been supported by the National Science Foundation, the National Institutes of Health, the National Institute of Drug Abuse, the Michigan Life Sciences Corridor, the Ford Motor Company and other companies. While at WSU he has secured more than $9 million in research funding and contributions. Since joining WSU, Dean Fotouhi has graduated 25 Ph.D. and 30 M.S. students. More than half of his Ph.D. graduates are tenure-track or tenured faculty at institutions in Michigan and across the country. Many of his graduates hold executive positions in industry and corporate America. Dean Fotouhi has been a program committee member for various conferences related to his research interests and is a member of the Editorial Board of IEEE Multimedia Magazine, chair of the Steering Committee of IEEE Transactions on Multimedia, and a member of the Editorial Board of the International Journal of Semantic Web and Information Systems. In recent years, Dean Fotouhi has organized several workshops including the Workshop on Privacy in Information Society, the IEEE Workshop on Scientific Workflow and the ACM Workshop on the Many Faces of Multimedia Semantics. He holds a bachelor's degree in computer science from Western Michigan University and a Ph.D. in Computer Science from the College of Engineering at Michigan State University. Read the full press release on Dean Fotouhi's appointment describing his goals for the college Education Ph.D. 1988, Michigan State University Research Interests Database Management Systems, Multimedia Databases, Data Warehousing, Query Optimization, Bioinformatics diff --git a/src/data/compiled_bios/3027.txt b/src/data/compiled_bios/3027.txt new file mode 100644 index 0000000000..dd688cabd1 --- /dev/null +++ b/src/data/compiled_bios/3027.txt @@ -0,0 +1 @@ + Narendra Goel Professor, Computer Science aa2671@wayne.edu (313) 577-0572 Google Scholar < View all profiles Narendra Goel Research Interests Modeling and Computer Simulation of Physical, Biological Ecological and Engineering Systems, Computer Graphics, Remote Sensing of Vegetation. diff --git a/src/data/compiled_bios/3028.txt b/src/data/compiled_bios/3028.txt new file mode 100644 index 0000000000..1d40963079 --- /dev/null +++ b/src/data/compiled_bios/3028.txt @@ -0,0 +1 @@ + Daniel Grosu Associate Professor, Computer Science dgrosu@wayne.edu (313) 577-5171 http://www.cs.wayne.edu/~dgrosu/ Google Scholar < View all profiles Daniel Grosu Education Ph.D 2003, University of Texas at San Antonio Research Interests cloud and edge computing; parallel and distributed algorithms; approximation algorithms; scheduling and load balancing; topics at the border between computer science, game theory and economics. diff --git a/src/data/compiled_bios/3029.txt b/src/data/compiled_bios/3029.txt new file mode 100644 index 0000000000..83c977905a --- /dev/null +++ b/src/data/compiled_bios/3029.txt @@ -0,0 +1 @@ + Khayyam Hashmi Lecturer 5057 Woodward Ave. 14200.4 313-577-0722 < View all profiles Khayyam Hashmi Education PhD Computer Science,Wayne State Uinversity. diff --git a/src/data/compiled_bios/303.txt b/src/data/compiled_bios/303.txt new file mode 100644 index 0000000000..58bb1d5de3 --- /dev/null +++ b/src/data/compiled_bios/303.txt @@ -0,0 +1 @@ +video { width: 100% !important; height: auto !important; } Brian Malloy, Ph.D. Home Publications Vita Instruction Current CpSc courses 8270, Fall 2018: Lang Trans 4160/6160, Fall 2018: 2D Game Dev previous cs courses 8700, Summer 2018: OO Software Dev 4160/6160, Spring 2018: 2D Game Dev 8270, Fall 2017: Lang Trans 4160/6160, Fall 2017: 2D Game Dev 4160/6160, Spring 2017: 2D Game Dev 8270, Fall 2016: Lang Trans 4160/6160, Fall 2016: 2D Game Dev 4160/6160, 2016: 2D Game Dev 8700, 2015: OO Software Dev 4160/6160, 2015: 2D Game Dev DPA Courses 4000/6000, 2015: Tech Found I Calendar Previous Next Research Quantifying the Transition from Python 2 to 3: An Empirical Study of Python Applications : Background : Python is one of the most popular modern programming languages. In 2008 its authors introduced a new version of the language, Python 3.0, that was not backward compatible with Python 2, initiating a transitional phase for Python software developers. Method: We have developed a Python compliance analyser, PyComply, and have assembled a large corpus of Python applications. We use PyComply to measure and quantify the degree to which Python 3 features are being used, as well as the rate and context of their adoption. View Publication Video Game Development Videos describing the use of C++, Design Patterns, and Data-driven programming, to build 2D Video Games can be found on my youtube channel. youtube Channel Code The Code project is intended to help students and programmers to improve their programming skill, and to improve the quality of their code. Computer programming requires both practice and instruction, and this skill cannot be acquired simply by reading a textbook or copying code found on the internet. The Code project provides a web interface that contains sets of graduated exercises that are evaluated for quality and correctness. Give Code a try 313 McAdams Hall, Clemson, SC (864) 656-0808 malloy.at.clemson.edu School of Computing diff --git a/src/data/compiled_bios/3030.txt b/src/data/compiled_bios/3030.txt new file mode 100644 index 0000000000..c0a7a7bf8c --- /dev/null +++ b/src/data/compiled_bios/3030.txt @@ -0,0 +1 @@ + Jing Hua - Professor of Computer Science Jing Hua, Ph.D. Professor of Computer Science Computer Science Department Wayne State University 5057 Woodward Ave, Suite 14109.1 Detroit, Michigan 48202 Email: Phone: (313) 577-9004 Fax:(313) 577-6868 Dr. Jing Hua is a Professor of Computer Science and the founding director of 3D Computer Vision Lab (VIS) and Computer Graphics and Visualization Lab (CGV) at Computer Science at Wayne State University (WSU). He received his Ph.D. degree (2004) in Computer Science from the State University of New York at Stony Brook . He also received his M.S. degree (1999) in Pattern Recognition and Artificial Intelligence from the Institute of Automation, Chinese Academy of Sciences in Beijing, China and his B.S. degree (1996) in Electrical Engineering from the Huazhong University of Science & Technology in Wuhan, China. His research interests lie in the area of Visual Computing including Computer Graphics and Visualization , Computer Vision, Image Analysis and Informatics, etc . He has authored over 100 papers in the above research fields in the top journals and conferences. He received the Gaheon Award for the Best Paper of International Journal of CAD/CAM in 2009 , the Best Paper Award at ACM Solid Modeling 2004 , the WSU Faculty Research Award in 2005 , the College of Liberal Arts and Sciences Excellence in Teaching Award in 2008 , the K. C. Wong Research Award in 2010 , and the Best Demo Awards at GENI Engineering Conference 21 (2014) and 23 (2015), respectively.His research is supported by the National Science Foundation , National Institutes of Health , Michigan Technology Tri-Corridor , Michigan Economic Development Corporation , Ford Motor Company , and WSU . Dr. Hua serves as an Editorial Board Member for many journals as well as a Program Committee Member for many international conferences. Research Areas Computer Graphics and Visualization -(Geometric processing and analysis, geometric modeling, physically-based modeling, scientific visualization) Computer Vision -(3D reconstruction, feature extraction, shape analysis, tracking and motion analysis, collaborative 3D vision) Image Analysis and Informatics -(Geometric techniques for image analysis,learning and mining algorithms for imaging informatics, medical imaging applications) Graduate students who are interested in the aforementioned research areas may contact Professor Jing Hua directly. Financial supports are available for qualified students. selected recent publications ( Click here for the full publication list ) Zichun Zhong, Bruno Levy, Wenping Wang, Jing Hua, and Xiaohu Guo, "Computing a High-Dimensional Euclidean Embedding from an Arbitrary Smooth Riemannian Metric," ACM Transactions on Graphics ( SIGGRAPH '18), Vol. 37, No. 4, pp. 62:1-62:16, August 2018. Hai Jin, Yuanfeng Lian, and Jing Hua, "Learning Facial Expressions with 3D Mesh Convolutional Neural Network," ACM Transactions on Intelligent Systems and Technology , Vol. 10, No. 1, pp. 7:1-7:22, 2018. H. Wang, Y. Yan, J. Hua, Y. Yang, X. Wang, X. Li, J. Deller, G. Zhang, H. Bao, "Pedestrian Recognition in Multi-camera Networks Using Multilevel Important Salient Feature and Multicategory Incremental Learning," Pattern Recognition , Vol. 67, pp. 340-352, 2017. Jiaxi Hu, Nasim Hajar, Zichun Zhong and Jing Hua, "Visualizing Shape Deformations with Variation of Geometric Spectrum," IEEE Transactions on Visualization and Computer Graphics ( IEEE Vis '16 ), Vol. 23, 2016. Jiaxi Hu, Guangyu Zou, and Jing Hua, "Volume-Preserving Mapping and Registration for Collective Data Visualization," IEEE Transactions on Visualization and Computer Graphics ( IEEE Vis '14 ), Vol. 20, No. 6, 2014. Vahid Taimouri and Jing Hua, "Visualization of Shape Motions in Shape Space," IEEE Transactions on Visualization and Computer Graphics ( IEEE Vis '13 ), Vol. 19, No. 6, 2013. Guangyu Zou, Jiaxi Hu, Xianfeng Gu, and Jing Hua, "Authalic Parameterization of General Surfaces Using Lie Advection," IEEE Transactions on Visualization and Computer Graphics ( IEEE Vis '11 ), Vol. 17, No. 6, 2011. Vahid Taimouri, Xin Liu, Zhaoqiang Lai, Chang Liu, Darshan Pai, and Jing Hua, "Colon Segmentation for Prepless Virtual Colonoscopy," IEEE Transactions on Information Technology in Biomedicine , Vol. 15, 2011. Darshan Pai, Hamid Soltanian-Zadeh, and Jing Hua, "Evaluation of Fiber Bundles across Subjects through Brain Mapping and Registration of Diffusion Tensor Data," NeuroImage , Vol. 54, pp. S165-S175, 2011. Cui Lin, Darshan Pai, Shiyong Lu, Otto Muzik, and Jing Hua, "Coclustering for Cross-subject Fiber Tract Analysis through Diffusion Tensor Imaging," IEEE Transactions on Information Technology in Biomedicine , Vol. 14, No. 2, pp. 514 - 525, 2010. Guangyu Zou, Jing Hua, Zhaoqiang Lai, Xianfeng Gu, and Ming Dong, "Intrinsic Geometric Scale Space by Shape Diffusion," IEEE Transactions on Visualization and Computer Graphics ( IEEE Vis '09 ), Vol. 15, No. 6, pp. 1193 - 1200, 2009. Yanhua Chen, Lijun Wang, Ming Dong, and Jing Hua, "Exemplar-based Visualization of Large Document Corpus," IEEE Transactions on Visualization and Computer Graphics ( IEEE Vis '09 ), Vol. 15, No. 6, pp. 1169 - 1176, 2009. Yuanhong Li, Ming Dong, and Jing Hua, "Simultaneous Localized Feature Selection and Model Detection for Gaussian Mixtures," IEEE Transactions on Pattern Analysis and Machine Intelligence , Vol. 31, No. 5, pp. 953 - 960, 2009. Cui Lin, Shiyong Lu, Xubo Fei, Artem Chebotko, Darshan Pai, Zhaoqiang Lai, Farshad Fotouhiz, and Jing Hua. "A Reference Architecture for Visual Scientific Workflow Management Systems and the VIEW SOA Solution," IEEE Transactions on Service Computing , Vol. 2, No. 1, pp. 79-92, 2009. Jing Hua, Zhaoqiang Lai, Ming Dong, Xianfeng Gu, and Hong Qin. "Geodesic Distance-Weighted Shape Vector Image Diffusion," IEEE Transactions on Visualization and Computer Graphics ( IEEE Vis '08 ), Vol. 14, No. 6, pp. 1643 - 1650, 2008. Yunhao Tan, Jing Hua, and Hong Qin, "Physically Based Modeling and Simulation of Dynamic Spherical Volumetric Simplex Splines," Computer-Aided Design ( ACM SPM'10 ), Vol. 42, 2010. Yanhua Chen, Manjeet Rege, Ming Dong, and Jing Hua, "Nonnegative Matrix Factorization for Semi-supervised Data Clustering," Knowledge and Information System , Vol. 15, 2008 (invited as one of the best papers at ICDM'07) Wei Zeng, Jing Hua, and Xianfeng Gu, "Symmetric Conformal Mapping for Surface Matching and Registration," International Journal of CAD/CAM, Vol. 9, No. 1, pp. 103-109, 2009 ( Won the Gaheon Award , the BEST PAPER of IJCC 2009 ). Changbo Yang, Ming Dong, and Jing Hua. Region-Based Image Annotation Using Asymmetrical Support Vector Machine-Based Multiple-Instance Learning. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition ( CVPR '06 ), pp. 2057 - 2063, New York, NY, 2006. Zhaoqiang Lai, Jiaxi Hu, Chang Liu, Vahid Taimouri, Darshan Pai, Jiong Zhu, Jianrong Xu, and Jing Hua, "Intra-patient Supine-Prone Colon Registration in CT Colonography Using Shape Spectrum," In Proceedings of the 13th International Conference on Medical Image Computing and Computer Assisted Intervention ( MICCAI '10 ), 2010 ( Oral; Acceptance Rate: 5% ) Jing Hua, Ying He, and Hong Qin. Trivariate Simplex Splines for Inhomogeneous Solid Modeling in Engineering Design. ASME Transactions: Journal of Computing and Information Science in Engineering , Vol. 5, No. 2, pp. 149 - 157, 2005. ( won the BEST PAPER AWARD at ACM SM'04 ) Jing Hua and Hong Qin. Haptics-based Dynamic Implicit Solid Modeling. IEEE Transactions on Visualization and Computer Graphics , Vol. 10, No. 5, pp. 574 - 586, 2004. Externally funded research projects ( current and past ) NIH , The Next Generation of Vascular Imaging Using Contrast-Enhanced MICRO MRI . NSF , High-Dimensional Euclidean Embedding for 4D Volumetric Shape with Multi-Tensor Field . NSF , Predictable Wireless Networked Collaborative 3D Reconstruction for Real-Time Augmented Vision . NSF-GENI , GENI-Enabled Vehicular Sensing and Control Networking: from Experiments to Applications. 10/1/2013-12/31/2015. NSFC , Relational Analysis and Visualization of Large-Scale Image Data. Joint Research Fund for Overseas, Hong Kong and Macao Scholars . 1/1/2013-12/31/2014. NSF , Coordinated Visualization for Comparative Analysis of Cross-subject, Multi-measure, Multi-dimensional Imaging Data. 8/01/2009-7/31/2014. NSF , Geometric Mapping and Diffusion for 3D Imaging Informatics. 9/01/2009-8/31/2012. NIH , Electrical, Molecular and Clinical Correlates of Human Interictal Spiking ( R01 ). 6/01/2008-5/31/2014. NIH , Longitudinal Neuroimaging in Sturge-Weber Syndrome ( R01 ). 7/1/2008-4/30/2014. Ford , An Immersive, Interactive Visualization Environment for Large-scale Data and Visual Analytics. Ford Motor Company . 1/1/2008-12/31/2009. NSF , CRI: IAD: Acquisition of Research Infrastructure for Knowledge-enhanced, Large-scale Learning of Multimodality Visual Data. 5/1/2008-4/30/2011. NSF , Integrated Modeling and Learning of Multimodality Data across Subjects for Brain Disorder Study. 9/01/2007-8/31/2011 . State of Michigan , HyperEye: Susceptibility Weighted Imaging-based Informatics Tools for Brain Tumor Studies. Michigan 21 st Century Jobs Funds . 12/20/2006-12/31/2010. State of Michigan , Software Tool for Neuroimaging in Epilepsy. Michigan Technology Tri-Corridor . 10/1/2005-9/30/2009. State of Michigan , Virtual Histology with Volumetric Computerized Tomography. Michigan Technology Tri-Corridor . 10/1/2005-9/30/2009. awards Best Demo Award at GENI Engineering Conference 23 in 2015 Best Demo Award at GENI Engineering Conference 21 in 2014 First Runner-up Demo Award at GENI Engineering Conference 20 in 2014. K. C. Wong Research Award in 2010 Gaheon Award for the Best Paper of International Journal of CAD/CAM in 2009 College of Liberal Arts and Sciences Excellence in Teaching Award in 2008 WSU Faculty Research Award in 2005 Best Paper Award at ACM Solid Modeling 2004 Teaching CSC5870 Computer Graphics I , Fall 2004 | Fall 2005 | Fall 2006 | Fall 2007 | Fall 2008 | Fall 2009 | Fall 20011 | Fall 2013 CSC6870 Computer Graphics II , Winter 2005 | Winter 2006 | Winter 2007 | Winter 2008 | Winter 2009 | Winter 2010 | Winter 2012 | Winter 2014 CSC5991 Interactive Data Visualization , Winter 2008 CSC7991 Advanced Visual Computing , Winter 2007 | Winter 2009 | Winter 2012 | Winter 2013 | Winter 2014 Current Graduate Students, POST-DOCS and VISITING SCHOLARS Nasim Hamidian Guoli Yan Tong Wu Shaofeng Shu Pavan Venkatavasava Huaiwei Cong Students Graduated, POST-DOCS AND VISITING SCHOLARS Hai Jin, Ph.D., Ph.D. , 3D Face Reconstruction and Emotion Analytics with Part-based Morphable Models, February 2018 ( Toyota Research Institute , Autonomous Driving) Fujiang Ao , Ph.D., Visiting Scholar, 2017 ( Henan University of Science and Technology ) Yuanfeng Lian, Ph.D. , Visiting Scholar, 2016-2017 ( China University of Petroleum ) Jiaxi Hu, Ph.D. , "Shape Analysis Using Spectrum Geometry," January 2015 ( Google ) Jie Jiang, Ph.D. , Visiting Scholar, 2013-2014 Darshan Pai, Ph.D. , "Visual Exploration and Information Analytics of High-Dimensional Medical Images," February 2013 ( GE Healthcare ). Zhaohui Cai, Ph.D. , Visiting Scholar, 2011-2012 ( Wuhan University , China). Vahid Taimouri, Ph.D. , "Shape Analysis in Shape Space," January 2012 (Research Fellow at Harvard University ). Chang Liu, Ph.D. , "Deformable Meshes for Shape Recovery: Models and Applications," September 2011 ( Henry Ford Health System ). Zhaoqiang Lai, Ph.D. , "Multi-scale and Multi-spectral Shape Analysis: From 2D to 3D," August 2011 ( Gamma Technologies, Inc ). Wei Zeng, Ph.D. , Post-Doc, 2010 (Tenure-track Assistant Professor at Florida International University ). Cui Lin, Ph.D. , "Data and Services Integration in Scientific Workflows," July 2010 (co-advising) (Tenure-track Assistant Professor at California State University ). Yunhao Tan, Ph.D. , "Dynamic Multivariate Simplex Splines for Volume Representation and Modeling," May 2010 ( Microsoft ). Guangyu Zou, Ph.D. , "Multiscale Geometry Constrained Shape Diffeomorphism," November 2008 ( General Motors Research ). Shaofeng Shu, M.S. , "3D SLAM with Monocular Camera in Highly Dynamic Environment," December 2018. Xinyu Zhang, M.S. , "Face Tracking and Animation with Single Camera," June 2015 ( Sony Computer Entertainment America ). Xiaodong Jiang, M.S. , "Accurate Real-time Full Body Motion Reconstruction with Single Depth Camera," June 2013 ( AET Integration ). George Liang, M.S. , "Visual Analytics in Diffusion Tensor Imaging," August 2006 (Ph.D. study at University of Kentucky ). Danqing Wu, M.S. ,"Constrained Conformal Surface Mapping and Registration," August 2007 ( Autodesk, Inc. ). Neha Chandila, M.S. , "Constraint Based Region Growing with Local Shape Fitting," August, 2007. (Senior IT Consultant at the PMA Consultants ). Directed Undergraduate Students' Projects Martin Alther , "Virtual Prototype Modeling and Simulation of a Real-World Environment", 2007. Gus Nassar , "Algorithms for Dynamic Rainbow Effect Removal in Videos", 2005. Professional Activities NSF Panelist and Reviewer Keynote Speaker, ChinaVR' 2010. Editorial Board Member of The Open Virtual Reality Journal , 2008 - 2014 Editorial Board Member of International Journal of Technology Enhanced Learning , since 2007 Editorial Board Member of Scientific Journals International , 2008 - 2016 Editorial Board Member of Journal of Digital Culture , 2008 - present Editorial Board Member of ISRN Computer Graphics , 2011~2013 Porgram Chair of ICSSC 2015 Chair of ICMLA BIGDATA Program ICMLA 14 Session Chair of CGI 2013 Session Chair of ICME 2007 Program Committee Member of IEEE VIS 17 | GMP 17 | BioImaging 17 Program Committee Member of IEEE VIS 16 | GMP 16 | BioImaging 16 Program Committee Member of IEEE VIS 15 | GMP 15 | BioImaging 15 Program Committee Member of IEEE VIS 14 | GMP 14 | MSI 14 | BioImaging 14 Program Committee Member of IVIC 13 | BioImaging 13 Program Committee Member of PG 12 | ASM 12 | ICALIP 12 | SIBGRAPI 2012 Program Committee Member of PG 11 | SIBGRAPI 11 Program Committee Member of PG 10 | SMI 10 | ICALIP10 Program Committee Member of PG 09 | SMI 09 | ASM 09 Program Committee Member of CASA 08 | SMI 08 | ASM 08 | HAID 08 Program Committee Member of IEEE HAVE 07 | CAD/Graphics 07 | ASM 07 | ISCAMP 07 | SIBGRAPI 07 | SWF 07 Program Committee Member of SIBGRAPI 06 Program Committee Member of SIBGRAPI 05 | IEEE Volume Graphics 05 Referee for many journals including IEEE TVCG, ACM TOG, IEEE CGA, CAD, ACM TOC, IEEE Multimedia, JCISE, IEEE TASE, Springer Virtual Reality Journal, IJCGA, PAA, etc., and conferences including SIGGRAPH, IEEE Visualization, ACM SPM, Eurographics, Pacific Graphics, IEEE VR, ASME IDETC, IEEE Computer Animation, IEEE Volume Graphics, MICCAI, etc. diff --git a/src/data/compiled_bios/3031.txt b/src/data/compiled_bios/3031.txt new file mode 100644 index 0000000000..cb824b8e5c --- /dev/null +++ b/src/data/compiled_bios/3031.txt @@ -0,0 +1 @@ + Thaer Jayyousi Senior Lecturer 5057 Woodward Ave. 14200.6 al6854@wayne.edu 313-577-0572 < View all profiles Thaer Jayyousi Education Ph.D. 2012, Wayne State University Research Interests Artificial Intelligence, Data Mining, Machine Learning, Evolutionary Computation, and Multi-agent systems diff --git a/src/data/compiled_bios/3032.txt b/src/data/compiled_bios/3032.txt new file mode 100644 index 0000000000..816b2c7378 --- /dev/null +++ b/src/data/compiled_bios/3032.txt @@ -0,0 +1 @@ + Alexander Kotov Assistant Professor Department of Computer Science Wayne State University [ Full CV ][ 2-page CV ][ DBLP ] Contact information: Office: Maccabees Building, Suite 14001.6 (14th floor) Email: kotov at wayne dot edu Phone: (313) 577-9307 Mailing address: Computer Science Department, Wayne State University 5057 Woodward Ave, Suite 14001.6 Detroit, Michigan 48202, USA Home Resume Publications Teaching Service Code WSU News I will be attending CIKM 2018 to present our paper "Attentive Neural Architecture for Ad-hoc Structured Document Retrieval" I will be giving a tutorial on "Utilizing Knowledge Bases in Text-centric Information Retrieval" at SIGIR 2018 About me I am an Assistant Professor in the Department of Computer Science at Wayne State University and the head of Textual Data Analytics Laboratory (TEANA). I am interested in large-scale textual information analysis in a broad sense, including information retrieval, textual data mining and healthcare informatics. More specifically, my current research focus is on graphical models (including topic models), sentiment analysis, retrieval models for social media and computational analysis of clinical interview transcripts as well as electronic health records. I obtained a Ph.D. from the Department of Computer Science at the University of Illinois at Urbana-Champaign . At UIUC I was advised by Professor ChengXiang Zhai and was a member of the Textual Information Management (TIMan) research group. After that, I was a Post-Doctoral Fellow and Adjunct Assistant Professor at Emory University working with Professor Eugene Agichtein and Professor Hongyuan Zha at Georgia Tech . Prospective students I am looking for one highly motivated Ph.D. student or post-doc with machine learning and probabilistic modeling background demonstrated by good grades in completed relevant courses, past projects and/or previous publications, who is interested in conducting research in machine learning/textual data mining with applications to healthcare informatics and information retrieval. If you have the required background , ambitious goals for your Ph.D. and the work ethic necessary to achieve them , please email me your resume. I am also interested in working on research projects with strong undergraduate or masters students. diff --git a/src/data/compiled_bios/3033.txt b/src/data/compiled_bios/3033.txt new file mode 100644 index 0000000000..1ea591fb06 --- /dev/null +++ b/src/data/compiled_bios/3033.txt @@ -0,0 +1 @@ + " Do not let your hearts be troubled. You believe in God; believe also in me. " John 14:1 Shiyong Lu ( ) Professor, IEEE Senior Member Director of Big Data Research Laboratory Department of Computer Science Wayne State University 5057 Woodward Ave, Suite 3010, Detroit, Michigan 48202, U.S.A. Office: 14105.1 Maccabees Bldg. Lab: 3105 Maccabees Bldg. Phone: 313--577--1667(O), 577--6711(L) Fax: 313--577--6868 Email: ( HisFirstName )@wayne.edu Announcements ( What is it? ) Congratulations to Ishtiaq, Bai and Fahima for their best student paper award at IEEE Congress on Big Data. Ishtiaq Ahmed, Shiyong Lu, Changxin Bai, Fahima Amin Bhuyan, "Diagnosis Recommendation using Machine Learning Scientific Workflows". Prospective Ph.D. students : we received another 1M NSF project on big data in Aug 2017. We are looking for two excellent new PhD students. The best way to approach me is to look at http://www.dataview.org . You can sign up and then download the DATAVIEW code and see if you can introduce some functionality to the system. I love to see a demo of your projects to demonstate your skills in Javascipt/AJAX, JAVA and SQL. System coding is critical in our lab. Big data is on the No 1 of NSF's 10 BIG IDEA LIST . CFP: IEEE BigData Conference 2018. Due 8/8/2018. CFP: IEEE BigData Congress 2017. Due 1/19/2017. Congratulations to Aravind and Mahdi, who will join Allegheny and Lawrence Tech University, respectively, in Fall 2017 as tenture-track assistant professors there. Cheers! Congratulations to Andrey, who received a faculty position offer from Eastern Michigan University. He will become an assisstat professor there from Fall 2016. Congratulations to Andrey, who got the Michigan Conrad Award in 2016. This award is given to only one student who published one best paper in a previous year. Milestone of KDM (> 4000 users): The KDM tool (http://kdm.dataview.org) is already being used by more than 4000 registered users worldwide, representing over 200 universities and companies in more than 100 countries across 5 continents. These users include professors, graduate and undergraduate students, entrepreneurs, big data architects, and engineers that have used KDM to create over 10,000 hundreds of intelligent big data models in various domains, including healthcare, education, Internet of Things, stock market, retail and many others. Short Biography Dr. Shiyong Lu is a Professor in the Department of Computer Science at Wayne State University , the Director of the Big Data Research Laboratory . Our lab believes that mankind has entered the big data era, and with an extreme focus and deligence we can produce high-impact research results or tools. Our lab has a rich and nurturing culture to cultivate and train future professors - among graduates, eight of them have joined other universities as professors. Therefore, presentation skills will be well-trained in this lab. Dr. Lu received his Ph.D. in computer science from State University of New York at Stony Brook in 2002. Before that, he received his M.E. from the Institute of Computing Technology , Chinese Academy of Sciences, Beijing in 1996 and B.E. from the University of Science and Technology of China at Hefei in 1993. Dr. Lu's current research focuses on machine learning scientific workflows , services computing , and big data security . He is an author of two books and over 140 articles published in various international conferences and journals, such as Data and Knowledge Engineering (DKE), IEEE Transactions on Knowledge and Data Engineering (TKDE), IEEE Transactions on Services Computing ( TSC ), IEEE Transactions on Parallel and Distributed Systems (TPDS), IEEE Transactions on Information Technology in Biomedicine (TITB), Theoretical Computer Science (TCS), Information Systems (IS), etc. Dr. Lu's research is supported by NSF, Department of Agriculture, Michigan Tri-corridor, and Wayne State University . He is a Senior Member of the IEEE. Dr. Lu is an associate editor of International Journal of Big Data, and an editorial board member of International Journal of Big Data Intelligence (IJBDI). Dr. Lu is currently involved in several big data projects, including NSF projects to develop big data technologies for bioinformatics, automobile industry, and civil engineering projects. . Located at midtown of Detroit, the Motor City, Wayne State University is a premier Carnegie Research Exensive University ranked in the top 50 in R & D expenditures of all public universities by the National Science Foundation. The university offered more than 350 academic programs through 13 schools and colleges, to more than 32,000 students, ranked as one of the top 3 universities in the state of Michigan. Department of Obstetrics and Gynecology ranks #1 in the country in terms of total funding from the National Institutes of Health. It is the home to the NIH Perinatology Research Branch, which is dedicated to improving the quality of maternal-fetal health nationwide. The School of Medicine at Wayne State University is the largest single-campus medical school, and the third-largest overall, in the United States. The School of Library and Information Science is ranked in the top 20 programs in the country. The doctoral program of the College of Nursing was ranked 5th in the country. Michigan has many attractive hot spots . Research DATAVIEW | DATAVIEW youtube channel DATAVIEW is a big data workflow management system. It uses Dropbox as the data cloud and Amazon EC2 as the compute cloud. Current research focuses on the security and privacy aspects of DATAVIEW as well as performance and cost optimization for running workflows in clouds. KDM , a visual tool for big data modeling for NoSQL database system Cassandra. OPMProv , a provenance management system that supports the OPQL query language, web services, and visualization. Download OPMProv code. Publications | Google Scholar | DBLP | Bio for Journal The 40 papers list DBLP workflow Teaching Winter 2018: CSC 6710: Database Management Systems I Winter 2018: CSC 8710: Seminar on Big Data Management Other CS courses | Bulletins Professional Services Co-Editor-in-chief of International Journal of Cloud Computing and Service Science Associate Editor of International Journal of Big Data Editorial Board Member of International Journal of Big Data Intelligence (IJBDI) Program Committee Member of IEEE International Congress on Big Data (IEEE BigData 2014) Program Committee Member of IEEE International Conference on Big Data (BigData 2013) Hobbies Calliography Yue Opera Ping Pong Datasets for Big Data Detroit Open Data Portal Vehicle openXC datasets Stanford Large Network Dataset Collection Data Tang data.gov Amazon public datasets Machine learning library For Students Good deals on shopping food A sample recomendation letter is here. The letter typically covers the grades (for each assignment and also the final grade) and other performance (such as exercises and projects). A final grade of A would be a good basis for a strong letter. Connect Services(for technology issues) Try HTML Point cloud demo dygraphs.com Dr. Lu's first Webench Dr. Lu's Programming Resources mxgraph programmin first page | mxgraph manual Others Autism workflow Diagnosis recommendation workflow NYC city Bike data analytics workflow How to develop a workflow task in DATAVIEW | How to develop a workflow in DATAVIEW big pixel 4 best Java books First Eclipse Java project Scratch game: one person shoot game Scratch game: workflow exuection on VMs Scratch game: blosoming diff --git a/src/data/compiled_bios/3034.txt b/src/data/compiled_bios/3034.txt new file mode 100644 index 0000000000..8439c277e4 --- /dev/null +++ b/src/data/compiled_bios/3034.txt @@ -0,0 +1 @@ + Vasudev Mallya Part Time/Adjunct, Computer Science 5057 Woodward Ave, Detroit, MI 48202 Maccabee Room 203 aa1150@wayne.edu (313) 577-8733 < View all profiles Vasudev Mallya Courses Taught CSC 2200 Computer Science IICSC 2200 Computer Science II LabCSC 1050 Introduction to 'C' and Unix Research Interests Embedded Systems in AutomotiveEmbedded Systems (Coonad & Control) in Defense Professional Affiliations Charteres IT Orofessional Fellow (FBCS) of The British Computer Society UKCharatered IT Professional (CITP) of The British Computer Society UKChartered Engineer of The Engineering Council UKMember of The Society of Automotive Engineers (SAE) USA Personal Interests Auto Mechanical and Electrical RepairsMilitary Systems diff --git a/src/data/compiled_bios/3035.txt b/src/data/compiled_bios/3035.txt new file mode 100644 index 0000000000..d49ab7849e --- /dev/null +++ b/src/data/compiled_bios/3035.txt @@ -0,0 +1 @@ + Colleen McKenney Academic Advisor 5057 Woodward Ave. Room 3010.2 fg8527@wayne.edu 313-577-2406 < View all profiles Colleen McKenney Biography I have served as an academic advisor for the Department of Computer Science since coming to Wayne State in September 2012. Prior to becoming an advisor, I worked as a design engineer in the automotive industry for eight years by earning an associates of applied science in CAD from Oakland Community College and a bachelors degree in vehicle design from Central Michigan University. Needing a career change, and wanting to work with students in a university setting, I went back to earn a masters in counseling from Oakland University and am now a licensed professional counselor with experience in academic advising and career counseling. I am very passionate about helping students make the most of their college education and am looking forward to helping you achieve your educational and career goals while here at Wayne State University. diff --git a/src/data/compiled_bios/3036.txt b/src/data/compiled_bios/3036.txt new file mode 100644 index 0000000000..978a068873 --- /dev/null +++ b/src/data/compiled_bios/3036.txt @@ -0,0 +1 @@ + Seyed Ziae Mousavi Mojab Lecturer, Computer Science 5057 Woodward Ave, Detroit, MI 48202 Maccabees Room 14200.4 mousavi@wayne.edu < View all profiles Seyed Ziae Mousavi Mojab Courses Taught C++, Python & R, Database, Data Mining, Algorithm Design & Analysis, Senior Project, Web Programming Research Interests Data Mining, Machine Learning, Image Processing, Big Data, Data analytics diff --git a/src/data/compiled_bios/3037.txt b/src/data/compiled_bios/3037.txt new file mode 100644 index 0000000000..7c9acdcb1a --- /dev/null +++ b/src/data/compiled_bios/3037.txt @@ -0,0 +1 @@ + Daniel Ouellette Lecturer, Computer Science fx9807@wayne.edu < View all profiles Daniel Ouellette diff --git a/src/data/compiled_bios/3038.txt b/src/data/compiled_bios/3038.txt new file mode 100644 index 0000000000..4f91abced1 --- /dev/null +++ b/src/data/compiled_bios/3038.txt @@ -0,0 +1 @@ + Vclav Rajlich Professor Department of Computer Science College of Engineering Wayne State University Office 5057 Woodward Avenue 14th floor, Suite 14200.5 tel. : (313) 577-5423 fax. : (313) 577-6868 e-mail rajlich atwaynedot edu Mailing address 5057 Woodward Avenue Suite 3010 Detroit, MI 48202 Research My research centers on software evolution and program comprehension. My papers deal with staged model of software lifespan, phased model of software change, concept location, impact analysis, change propagation, and similar topics. I am the founder and permanent steering committee member of the IEEE International Conference on Program Comprehension (ICPC) and I pioneered IEEE International Conference on Software Maintenance and Evolution (ICSME) . I am a member of Editorial Board of Journal of Software: Evolution and Process . Software Engineering: The Current Practice, CRC Press,Boca Raton, FL (2012) Amazon Barnes&Noble Slides are available here Projects and lab manual is available here Answers to End of Chapter Exercises. For password, please see your CRC representative. Special Links Google scholar Microsoft academic IEEE TCSE Service Award 2017 featured author CRC Press severe group students projects mathematics genealogy diff --git a/src/data/compiled_bios/3039.txt b/src/data/compiled_bios/3039.txt new file mode 100644 index 0000000000..89f7e70715 --- /dev/null +++ b/src/data/compiled_bios/3039.txt @@ -0,0 +1 @@ + Jayashree Ravi Adjunct Faculty aj8471@wayne.edu Google Scholar < View all profiles Jayashree Ravi Education Master of Science in Computer Science with Distributed Systems major Courses Taught Mobile application Development in Android - Summer 2012Mobile application Development in Android - Summer 2013Mobile application Development in Android - Summer 2014 Computing platforms for Data Science- Fall 2017 Computing platforms for Data Science- Winter 2018Computing platforms for Data Science - Fall 2018Computer platforms for Data Science - Winter 2019 Research Interests Web Development, Distributed Systems, Data Science, Mobile application Development Publications Learn Python Programming with free ebook: http://ebooks.mobibootcamp.com/python/index.html diff --git a/src/data/compiled_bios/304.txt b/src/data/compiled_bios/304.txt new file mode 100644 index 0000000000..3efccd9711 --- /dev/null +++ b/src/data/compiled_bios/304.txt @@ -0,0 +1 @@ + Jim Martin Associate Professor School of Computing Clemson University Contact Information: Email : jmarty at clemson.edu Office: 211 McAdams Phone: 864-656-4529 Mailing address: School of Computing 211 McAdams Hall Clemson University Clemson, South Carolina 29634-0974 [ Courses | Vita | Research | Outreach | Papers ] [ Prospective Students | Honors Information | Clemson's UPE CS Honor Society | School of Computing | Clemson ] Organizations CS and ECE students might consider joining: [ IEEE / CS Society / Vehicular Technology Society | ACM | Upislon Pi Epsilon (UPE) | Internet Society ] Timely/Interesting Sites: [ Federal Communications Commision's Initiatives | FCC and Net Neutrality | Internet Society | History of the Internet | Bell Labs ] Slightly Broader Scope: [ Most popular TED talks 2017 | Most popular TED talks | Salted Hash-Interviews | FranklinCovey-The 5 Choices:The Path to Extraordinary Productivity } Internal links [ internal papers link ] Check it out !! Recent Award: NSF/USIgnite grant : SC-CVT: South Carolina Connected Vehicle Testbed NSF Press release , NSF Award Abstract, Project Details: SC-CVT: South Carolina Connected Vehicle Testbed Jim Martin (jmarty at clemson.edu) Last update: 1/27/2018 diff --git a/src/data/compiled_bios/3040.txt b/src/data/compiled_bios/3040.txt new file mode 100644 index 0000000000..1c566f66c9 --- /dev/null +++ b/src/data/compiled_bios/3040.txt @@ -0,0 +1 @@ + This Web Site This is a personal website for Prof. Robert G. Reynolds; the director of Artificial Intelligence lab, Computer Science Dept, Wayne State University. Upcoming Teaching Courses: Fall 2005: Artificial Intelligence 1 ( CSC 7800): CRN: 12455, CSC 6800, CRT: 3.000, Time: MW (04:30 pm-05:50 pm), Place: STAT Hall 0037. Winter 2006: Expert Systems: Tools and Languages: CRN: 25490, CSC 5800, CRT: 3.00, Time: MW (1:25 pm - 2:50 pm), Place: State Hall 0313. Artificial Intelligence II: CRN: 20006, CSC 5800, CRT: 3.00, Time: MW (4:30 pm - 5:20 pm), Place: State Hall 0115. Research Interest Multi-Agent Modeling Evolutionary Computation Home | AboutMe | ResearchArea | Publications | Dissertations | ResearchProjects | Teaching | ContactInformation Copyrights reserved 2005. For questions regarding this web contact Webmaster . best Viewed 1024 x 768 Last updated: 08/15/05. diff --git a/src/data/compiled_bios/3041.txt b/src/data/compiled_bios/3041.txt new file mode 100644 index 0000000000..9cc1d265ac --- /dev/null +++ b/src/data/compiled_bios/3041.txt @@ -0,0 +1 @@ + home publications CRILab conferences services links Abusayeed Saifullah Assistant Professor Department of Computer Science Wayne State University Detroit, Michigan 48202 USA I am an assistant professor in the Computer Science Department at Wayne State University . I received my PhD under the supervision of Chenyang Lu from the Cyber-Physical Systems Lab at Washington University in St Louis . My research spans Internet of Things, Low-Power Wide-Area Networks, Cyber-Physical Systems, Real-Time Systems, Embedded Systems , and Distributed and Parallel Computing. Recent News [Award] BEST PAPER AWARD at IEEE ICII 2018 [ Service ] Joined the editorial board of Elsevier Pervasive and Mobile Computing journal. [ Service ] Co-chair, Wireless LAN, Ad Hoc, and Mesh Networks (WAM) track, IEEE ICCCN 2019 Research Recognition Best paper award at IEEE ICII 18 Best paper award nominee at ACM SenSys 16 2014 Turner Dissertation Award of Washington Universitys CSE department The best paper award at RTSS 14 (The 35th IEEE Real-Time Systems Symposium) Best paper award nominee at RTAS 12 (The 18th IEEE Real-Time and Embedded Technology and Applications Symposium) The best student paper award at RTSS 11 (The 32nd IEEE Real-Time Systems Symposium) The best student paper award at ISPA 07 (The 5th International Symposium on Parallel and Distributed Processing and Applications) I am looking for self-motivated PhD students! Prospective students with interest and expertise in IoT, CPS, real-time systems, wireless networks, embedded systems, and distributed and parallel computing are welcome to contact me through email. I will respond if there is a strong match. Google scholar profile Curriculum Vitae Office: 5057 Woodward Ave Suite# 14110.2 Detroit, MI 48202 Email: saifullah@wayne.edu Phone: (313) 577-2831 Fax: (313) 577-6868 home publications conferences services courses WSN Testbed diff --git a/src/data/compiled_bios/3042.txt b/src/data/compiled_bios/3042.txt new file mode 100644 index 0000000000..63b1ed7d3e --- /dev/null +++ b/src/data/compiled_bios/3042.txt @@ -0,0 +1 @@ + Loren Schwiebert's website home research schedule contact Welcome to My Personal Website! Last update on October 29, 2014 Associate Professor Multicore Computing Lab Department of Computer Science College of Engineering Wayne State University Personal Information I received my BS in Computer Science with a dual major in Mathematics in 1986 from Heidelberg University in Tiffin, OH. I received my MS and Ph.D. degrees in Computer and Information Science in 1990 and 1995, respectively, from the Ohio State University . I was an Assistant Professor in the Department of Electrical and Computer Engineering at Wayne State University from August 1995 until August 2000. At that time, I transferred to the Department of Computer Science and was subsequently promoted to Associate Professor effective August 2001. From April 1998 until August 2000, I served as the Branch Counselor for the IEEE Student Branch . My curriculum vitae and almost all of my old publications are available in pdf format. If you are looking for my research on Wireless Sensor Networking, you can find the information at the Networking Wireless Sensors Lab web site. A list of most of my publications on GPGPU research is available from my current research project page, using the link above. I have also co-authored a book for McGraw-Hill on Mobile and Pervasive Computing. There is a web site for this book if you would like more information. To reduce the clutter on this page, I have relocated the information on contacting me by phone or snail mail. Since I have been using blackboard for the past few years, I have removed the links to my old teaching information. If there is something there you need, just send me an email and I'll send you a copy. If there is actually demand for some of these files, I'll make them available again. Calls for Papers Currently None Read more Funding Opportunities for Students At this time, I am looking for Ph.D. students with a research interest in the area of General-Purpose GPU (GPGPU) Programming who have a strong background in Algorithm Design, Software Development, and Mathematics. Some knowledge of multithreaded programming is also very helpful. Unfortunately, I do not expect to have funding for new students in Fall 2015. News Coming soon Read more Search 2008 Innovation. All Rights Reserved. Eyad [AT] Wayne [DOT] edu diff --git a/src/data/compiled_bios/3043.txt b/src/data/compiled_bios/3043.txt new file mode 100644 index 0000000000..213491ea7c --- /dev/null +++ b/src/data/compiled_bios/3043.txt @@ -0,0 +1 @@ + Weisong Shi Professor of Computer Science IEEE Fellow Director, Connected and Autonomous dRiving Lab (CAR Lab) Director, Mobile and Interent Systems Laboratory (MIST) Director, Cyber-Physical Systems Program [ CV ] [ Publications ] [ Students ] [ Books ] [ ] Research Interests Edge Computing , Big Data Systems, Energy-Efficient Computer Systems, Mobile and Connected Health Short Bio Dr. Weisong Shi is a Charles H. Gershenson Distinguished Faculty Fellow and a Professor of Computer Science at Wayne State University. There he directs the Mobile and Internet Systems Laboratory , Connected and Autonomous Driving Laboratory , Intel IoT Innovators Lab , and Wayne State Data Science Initiative and Wireless Health Initiative , investigating performance, reliability, power- and energy-efficiency, trust and privacy issues of networked computer systems and applications. He founded the Metro Detroit Workshop on Connected and Autonomous Driving ( MetroCAD ). Dr. Shi is one of the world leaders in the edge computing research community, and has been advocating Edge Computing ( Fog Computing ) since 2014, a new computing paradigm in which the computing resources are placed at the edge of the Internet, in close proximity to mobile devices, sensors, end users and the emerging Internet of Everything. In 2016, he co-chaired the NSF Workshop on Grand Challenges in Edge Computing , and was the founding steering committee chair of ACM/IEEE Symposium on Edge Computing (SEC) . He was interviewed by China Science Daily on the Rise of Edge Computing in December 2016. In 2018, Dr. Shi has led the development of IEEE Course on Edge Computing . Check out his books on Edge Computing: by Science Press and Edge Computing: A Primer by Springer. Their work on edge computing is in part supported by NSF and several industry partners, such as Facebook . Their recent work on OpenVDAP , an Open Vehicular Data Analytics Platform, is the first open platform for data processing on connected and autonomous vehicles (CAVs). Dr. Shi is an expert in energy efficient computer systems research, including battery management for mobile systems and energy efficient data center design. He is also very active on the workload characterization and has received the best paper award of IISWC 2012 for their work on Taobao Hadoop workload analysis. His work has been adopted and used by industry, such as Baidu, Alibaba, and Intel. In addition to publications, his group has developed several tools that have been widely used by the community, including pTop , a process-level power profiling tool, has been downloaded more than 600 times from more than 30 countries; SPAN , a software power analyzer, has been downloaded more than 400 times since its release in 2012. Dr. Shi is also well known for his research and leadership on smart and connected health. He leads the Wireless Health Initiative at Wayne State University, and serves as the founding Editor-In-Chief of Smart Health Journal . In 2016, he served as the founding steering committee chair of IEEE/ACM Conference on Connected Health (CHASE) . He was interviewed by Healthcare Analytics News on How Edge Computing Can Advance Healthcare in January 2018. Dr. Shi is a recipient of the National Outstanding Ph.D. dissertation award of China (2002), the NSF CAREER award (2007), Wayne State University Career Development Chair award (2009), Charles H. Gershenson Distinguished Faculty Fellow (2015), College of Engineering Faculty Research Excellence Award (2016), the Best Paper award of ICWE'04, IEEE IPDPS'05, HPCChina'12, IEEE IISWC'12, the Best Paper Nominee award of ACM UbiComp'14, the Best Student Paper Award of IEEE HealthCom'15, IEEE eHealth Best Paper Award 2017. He is an IEEE Fellow and a Distinguished Scientist of ACM. According to Google Scholar, his H-index is 39 and has a total of 6000+ citations. Dr. Shi's research group is actively collaborating with industry partners, such as Alibaba, Baidu, DENSO, Facebook, IBM, Intel, InterDigital, to name a few. Dr. Shi was on leave with the National Science Foundation as a program director in the Division of Computer and Network Systems, Directorate of Computer and Information Science and Engineering during 2013-2015. During his tenure at NSF, Dr. Shi mainly responsible for the Computer Systems Research (CSR) core program and two crosscutting programs, including Cyber-Innovation for Sustainability Science and Engineering (CyberSEES), Smart and Connected Health (SCH). Dr. Shi has been actively involved in the activities of IEEE Computer Society. He had served as the Chair of the Technical Committee on the Internet (TCI) during 2012-2016. He is currently serving on the Research Advisory Board (RAB) of IEEE Computer Society. Professional Leadership and Services Research Advisory Board of IEEE Computer Society 2017 - Chair of IEEE Technical Committee on the Internet (2012 - 2016) Editor-In-Chief, Elsevier Smart Health Journal , 2016 - Associate Editor-In-Chief, IEEE Internet Computing, 2017- Editorial board member of IEEE Blockchain Newsletter, 2018 - Editorial board member of IEEE Transactions on Services Computing, 2016 - Editorial board member of ACM Transactions on Internet of Things, 2018 - Editorial board member of IEEE Transactions on Computers, (2015 - 2016) Editorial board member of IEEE Internet Computing, 2014 - Editorial board member of Springer Computing, 2012 - Editorial board member of Elsevier Sustainable Computing: Informatics and Systems, 2011 - Editorial board member of Journal of Computer Science and Technology, 2010 - Guest Editor of IEEE Internet Computing: Live Video Analytics (Deadline: Oct 1st, 2018) Guest Editor of IEEE Transactions on Sustainable Computing: Energy Efficiency of Novel Architectures and Systems Guest Editor of IEEE Internet Computing: Fog Computing (Mar/April 2017) Guest Editor of IEEE Internet Computing: Energy-Efficient Data Centers (July/August 2017 ) Guest Editor of IEEE Transactions on Services Computing: Edge/Fog Computing and Services Steering committee chair of ACM/IEEE Symposium on Edge Computing (SEC 2018) Steering committee chair of IEEE/ACM Connected Health (CHASE 2018) Steering committee member of HotEdge , HotWeb, IGSC, CIC Advisory board member of IEEE Internet of Things Journal Chair, NSF 2018 CSR PI Meeting Co-Chair, NSF Workshop on Grand Challenges in Edge Computing General Chairs: SEC18 , CHASE18 , IGSC17 , NPC17 , CHASE16, HotWeb15 Program Chairs: MetroCAD18 , IGSC16 , CoolDC16 Track Chair: ICDCS17 on "Edge and Fog Computing" Track Chair: ICPP16 on "Data Centers and Cloud Computing" PC members: IoTDI19, WWW19, IPDPS19, HotEdge18 , ICDCS18 , IPDPS18 , IC2E18, SEC17 , ISLPED17 , IC2E17, HotWeb16, BigData16, IC2E16 Recent Invited Talks 09/18/18 Keynote at World Artificial Intelligence Conference Track on Edge Computing 08/11/18 Keynote at the 12th Annual Conference on Advanced Computer Architecture (ASA'18) 06/15/18 Ford's Autonomous Vehicles & Controls Lunch & Learn Seminar Series 05/13/18 Keynote at 2018 2nd China Edge Computing Symposium 09/21/17 Distinguished Speaker at IBM Accelerated Discovery Form 07/13/17 Keynote at MobiMedia 2017 07/10/17 Keynote at China Edge Computing Symposium 05/24/17 Baidu Inc, Edge Computing: Vision and Challenges 05/18/17 Sun Yat-Sen University, Edge Computing: Vision and Challenges 11/29/16 University of Buffalo, Edge Computing: Vision, Challenges and Beyond 11/14/16 Inspur Technologies Co. Ltd., A Case for Edge Computing 05/23/16 University of Science and Technology of China, Energy-Efficient Computing: Vision and Challenges 01/15/16 CECS seminar at University of Michigan at Dearborn, Toward Energy-Efficient Computing Teaching CSC4290/4991 Introduction to Computer Networks [W06, F07] CSC5250 Networking, Distributed and Concurrent Programming [F02, W03, F06, F07, F08, F09, F10, F11, F12, F17] CSC5270/5991 Computer Systems Security [F04, F05] CSC7260 Distributed Systems [F03, W04, W05, W06, W07, W08, W10, W11, W12, W13, W16, W17, W18] CSC8260 Seminar on Distributed Systems [F04, F06, F08, F11] In the News [dbusiness]: Wayne State Researchers Secure nearly $1M for Microplastics Pollution Research [WSU Faculty Impact]: Wayne State Professor Uses Edge Computing to Shore Up Big Data [DrivenDetroit]: Wayne State CAR Lab innovates edge computing and open platform [Today@Wayne] Facebook awards Wayne State University's edge computing research [Facebook] Announcing Winners of Facebook Resarch Award [Today@Wayne] Wayne State research team receives Microsoft Azure Research Award [Healthcare Analytics News] How Edge Computing Can Advance Healthcare [China Science Daily] The Rise of Edge Computing [Engineering]: Computer Science Professor appointed to Editorial Positions [Today@Wayne]: Wayne State University joins the OpenFog Consortium [Today@Wayne]: WSU program to innovate in Detroit "Internet of Things" [Engineering]: Two College of Engineering Professors named IEEE Fellows [NewsWise]: Sustainable Computing and Computer Systems Expert to Serve as NSF Program Director [Popular Science]: How Will We Keep Track of Our Robot Minions? [Robotics Tomorrow]: LOBOT Technique Provides Accurate, Real-Time, 3-D Positions for Robotic Vehicles Want stay tuned? please become a fan of the MIST group on Facebook . Contact Professor Weisong Shi Department of Computer Science Wayne State University 5057 Woodward Ave, Ste. 14102.2 Detroit, MI 48202, USA Phone: (313) 577-3186 , Email : weisong AT wayne dot edu, Skype : professorshi, Twitter : @shiweisong diff --git a/src/data/compiled_bios/3044.txt b/src/data/compiled_bios/3044.txt new file mode 100644 index 0000000000..f019ec2e5d --- /dev/null +++ b/src/data/compiled_bios/3044.txt @@ -0,0 +1 @@ + LaNita Stewart Secretary to the Chair 5057 Woodward Room 3008 LStewart@wayne.edu 313-577-2478 313-577-6868 (fax) < View all profiles LaNita Stewart diff --git a/src/data/compiled_bios/3045.txt b/src/data/compiled_bios/3045.txt new file mode 100644 index 0000000000..47634db86e --- /dev/null +++ b/src/data/compiled_bios/3045.txt @@ -0,0 +1 @@ + Lihao Xu Associate Professor of Computer Science , Wayne State University Ph.D, California Institute of Technology Research Interests Networked and distributed systems, data security, fault-tolerant computing, multimedia data streaming, error correcting codes, information theory. Go to the Network and Information Systems Lab for details. Teaching Contact Information Department of Computer Science Wayne State University Detroit, MI 48202 Email: lihao At wayne. edu diff --git a/src/data/compiled_bios/3046.txt b/src/data/compiled_bios/3046.txt new file mode 100644 index 0000000000..e45e062d4f --- /dev/null +++ b/src/data/compiled_bios/3046.txt @@ -0,0 +1 @@ + Fengwei Zhang Assistant Professor Director, COMPASS Lab Department of Computer Science Wayne State University Contact: Maccabees Building, Room 14109.3 5057 Woodward Avenue Detroit, Michigan 48202 Phone: (313) 577-1648 Email: fengwei at wayne dot edu Lab: Maccabees Building, Suite 2210 [ Curriculum Vitae ] I earned my Ph.D. in Computer Science from Angelos Stavrou 's group at George Mason University in April 2015. My primary research interests are in the areas of systems security, with a focus on trustworthy execution, mobile malware analysis, debugging transparency, transportation security, and plausible deniability encryption. I am looking for graduate students, postdocs, undergraduate students to work with me on exciting projects in systems security. If you are interested, please send me your CV. RA positions are available. Nailgun project is online! [ Web ] [ PoC ] [ Video1 ] [ Video2 ] Teaching Winter 2019: CSC 5290, Cyber Security Practice Winter 2019: CSC 3010, Ethics in Computer Science Previous Semesters: [ full list ] Selected Recent Publications [ full list ] Understanding the Security of ARM Debugging Features [ bib ] Zhenyu Ning and Fengwei Zhang In Proceedings of The 40th IEEE Symposium on Security & Privacy ( S&P'19 ) , San Francisco, California, May, 2019. Methods and Systems for Increased Debugging Transparency [ bib ] Fengwei Zhang , Kevin Leach, Angelos Stavrou, and Haining Wang U.S. Patent Number 10,127,137. Issued on November 13, 2018. Hardware-assisted Transparent Tracing and Debugging on ARM [ bib ] Zhenyu Ning and Fengwei Zhang In IEEE Transactions on Information Forensics & Security ( TIFS'18 ) , to appear, 2018. Impact Factor: 5.824 (11/2018). Preliminary Study of Trusted Execution Environments on Heterogeneous Edge Platforms [ bib ] Zhenyu Ning, Jinghui Liao, Fengwei Zhang , and Weisong Shi In Proceedings of The 1st ACM/IEEE Workshop on Security and Privacy in Edge Computing ( EdgeSP'18 ) , in conjunction with The 3rd ACM/IEEE Symposium on Edge Computing ( SEC'18 ) , Bellevue, Washington, October, 2018. A Comparison Study of Intel SGX and AMD Memory Encryption Technology [ bib ] Saeid Mofrad, Fengwei Zhang , Shiyong Lu, and Weidong Shi In Proceedings of The Hardware and Architectural Support for Security and Privacy ( HASP'18 ) , in conjunction with The 45th International Symposium on Computer Architecture ( ISCA'18 ) , Los Angeles, California, June, 2018. DexLego: Reassembleable Bytecode Extraction for Aiding Static Analysis [ bib ] Zhenyu Ning and Fengwei Zhang In Proceedings of The 48th IEEE/IFIP International Conference on Dependable Systems and Networks ( DSN'18 ) , Luxembourg, June, 2018. MobiCeal: Towards Secure and Practical Plausibly Deniable Encryption on Mobile Devices [ bib ] Bing Chang, Fengwei Zhang , Bo Chen, Yingjiu Li, Wen-Tao Zhu, Yangguang Tian, Zhan Wang, and Albert Ching In Proceedings of The 48th IEEE/IFIP International Conference on Dependable Systems and Networks ( DSN'18 ) , Luxembourg, June, 2018. SADUS: Secure Data Deletion in User Space for Mobile Devices [ bib ] Li Yang, Teng Wei, Fengwei Zhang , Jianfeng Ma In Elsevier Computers & Security ( CompSec'18 ) , Vol.77, pp.612-626, 2018. Impact Factor: 2.849. FINE-CFI: Fine-grained Control-Flow Integrity for Operating System Kernels [ bib ] Jinku Li, Xiaomeng Tong, Fengwei Zhang , and Jianfeng Ma In IEEE Transactions on Information Forensics & Security ( TIFS'18 ) , Vol.13, No.6, pp.1535-1550, 2018. Impact Factor: 4.332. User-Friendly Deniable Storage for Mobile Devices [ bib ] Bing Chang, Yao Cheng, Bo Chen, Fengwei Zhang , Wen Tao Zhu, Yingjiu Li, and Zhan Wang In Elsevier Computers & Security ( CompSec'18 ) , Vol.72, pp.163-174, 2018. Impact Factor: 2.849. Towards Transparent Debugging [ bib ] Fengwei Zhang , Kevin Leach, Angelos Stavrou, and Haining Wang In IEEE Transactions on Dependable and Secure Computing ( TDSC'18 ) , Vol.15, No.2, pp.321-335, 2018. Impact Factor: 4.410. Supporting Transparent Snapshot for Bare-metal Malware Analysis on Mobile Devices [ bib ] Le Guan, Shijie Jia, Bo Chen, Fengwei Zhang , Bo Luo, Jingqiang Lin, Peng Liu, Xinyu Xing, and Luning Xia In Proceedings of The 33rd Annual Computer Security Application Conference ( ACSAC'17 ) , Orlando, Florida, December, 2017 ( Distinguished Paper Award ). Ninja: Towards Transparent Tracing and Debugging on ARM [ bib ] Zhenyu Ning and Fengwei Zhang In Proceedings of The 26th USENIX Security Symposium ( USENIX-Security'17 ) , Vancouver, BC, Canada, August, 2017. Scotch: Combining Software Guard Extensions and System Management Mode to Monitor Cloud Resource Usage [ bib ] Kevin Leach, Fengwei Zhang , and Westley Weimer In Proceedings of The 20th International Symposium on Research in Attacks, Intrusions and Defenses ( RAID'17 ) , Atlanta, Georgia, September, 2017. Position Paper: Challenges Towards Securing Hardware-assisted Execution Environments [ bib ] Zhenyu Ning, Fengwei Zhang , Weisong Shi, and Larry Shi In Proceedings of The Hardware and Architectural Support for Security and Privacy( HASP'17 ) , in conjunction with The 44th International Symposium on Computer Architecture ( ISCA'17 ) , Toronto, ON, Canada, June, 2017. COMS: Customer Oriented Migration Service [ bib ] Kai Huang, Xing Gao, Fengwei Zhang , and Jidong Xiao In Proceedings of The 10th IEEE International Conference on Cloud Computing ( CLOUD'17 ) , Honolulu, Hawaii, June, 2017. Breaking BLE Beacons For Fun But Mostly Profit [ bib ] Constantinos Kolias, Lucas Copi, Fengwei Zhang , and Angelos Stavrou In Proceedings of The 10th European Workshop on Systems Security ( EuroSec'17 ) , in conjunction with The 12th European Conference on Computer Systems ( EuroSys'17 ) , Belgrade, Serbia, April, 2017. Recent Professional Services Program Organization [EuroSec]: Publicity Chair, European Workshop on Systems Security, 2019 , 2018 . [CCSW]: Publicity Chair, ACM Cloud Computing Security Workshop, 2017 . Program Committee Membership [CCS]: ACM Conference on Computer and Communications Security, 2019 , 2018 , 2017 . [ACSAC]: Annual Computer Security Applications Conference, 2018 , 2017 , 2016 . [WiSec]: ACM Conference on Security and Privacy in Wireless and Mobile Networks, 2019 . [EuroSec]: European Workshop on Systems Security, 2019 , 2018 . [MASS]: IEEE International Conference on Mobile Ad-hoc and Sensor Systems, 2018 . [SecureComm]: EAI International Conference on Security and Privacy in Communication Networks, 2018 . [ICICS]: International Conference on Information and Communications Security, 2018 . [IoTSSP]: ACM MobiHoc Workshop on Mobile IoT Sensing, Security, and Privacy, 2018 . [ICC]: IEEE International Conference on Communications, 2018 . [CCSW]: ACM Cloud Computing Security Workshop, 2017 . [HASP]: Hardware and Architectural Support for Security and Privacy, 2017 . [ICPADS]: IEEE International Conference on Parallel and Distributed Systems, 2016 . [DependSys]: Symposium on Dependability in Sensor, Cloud, and Big Data Systems and Applications, 2016 . Thesis Using Hardware Isolated Execution Environments for Securing Systems [ bib ] diff --git a/src/data/compiled_bios/3047.txt b/src/data/compiled_bios/3047.txt new file mode 100644 index 0000000000..308b4aab3e --- /dev/null +++ b/src/data/compiled_bios/3047.txt @@ -0,0 +1 @@ + Zichun Zhong Assistant Professor Department of Computer Science Wayne State University Tel: 313-577-9530 (office) Fax: 313-577-6868 Email: zichunzhong "at" wayne.edu Office: 5057 Woodward Ave. (Maccabees Building), Suite 14109.2, Detroit, Michigan, 48202 Computer Modeling and Imaging Visualization Lab: 5057 Woodward Ave. (Maccabees Building), 2209, Detroit, Michigan, 48202 Graphics and Imaging Lab: 5057 Woodward Ave. (Maccabees Building), 3104.5, Detroit, Michigan, 48202 Short Bio: I am an Assistant Professor of Computer Science at Wayne State University (WSU) since August 2015. I was a postdoctoral fellow in Department of Radiation Oncology at UT Southwestern Medical Center at Dallas (UTSW) from August 2014 to August 2015. I received Ph.D. degree in Computer Science at The University of Texas at Dallas (UTD) in Summer 2014. I received B.S. degree in Computer Science and Technology (Software Engineering) and M.S. degree in Computer Science in The University of Electronic Science and Technology of China (UESTC) in 2006 and 2009, respectively. Research Interests: My research interests include Computer Graphics, Geometric Modeling (specifically Surface and Volume Mesh Generations), Medical Image Processing (specifically Deformable Image Registration, 3D/4D Image Reconstruction) , Computer Animation, Visualization, and GPU Algorithms. Prospective Students: I am looking for self-motivated Master thesis and Ph.D. students to join my research group. RA/TA positions with full scholarships are available. If you are interested in working with me, please send me your CV and related projects/publications. Selected Recent Publications: ( Click here for the full list ) Saifeng Ni, Zichun Zhong , Jin Huang, Wenping Wang, Xiaohu Guo, "Field-Aligned and Lattice-Guided Tetrahedral Meshing," Computer Graphics Forum (SGP 2018) , Vol. 37, No. 5, pp. 161 - 172, 2018. [ Paper ] Zichun Zhong , Wenping Wang, Bruno Lvy, Jing Hua, Xiaohu Guo, "Computing a High-Dimensional Euclidean Embedding from an Arbitrary Smooth Riemannian Metric," ACM Transactions on Graphics (SIGGRAPH 2018) , Vol. 37, Issue 4, Article No. 62, 2018. [ Paper ] [ Appendix ] [ Video ] Jiawei Chen, Haibin Chen, Zichun Zhong , Zhuoyu Wang, Brian Hrycushko, Linghong Zhou, Steve Jiang, Kevin Albuquerque, Xuejun Gu, Xin Zhen, "Investigating Rectal Toxicity Associated Dosimetric Features with Deformable Accumulated Rectal Surface Dose Maps for Cervical Cancer Radiotherapy," Radiation Oncology , Vol. 13, No. 125, pp. 1 - 10, 2018. [ Paper ] Haibin Chen, Zichun Zhong , Yiwei Yang, Jiawei Chen, Linghong Zhou, Xin Zhen, Xuejun Gu, "Internal Motion Estimation by Internal-external Motion Modeling for Lung Cancer Radiotherapy," Scientific Reports - Nature , Vol. 8, Article number: 3677, 2018. [ Paper ] Xin Zhen, Jiawei Chen, Zichun Zhong , Brian Hrycushko, Linghong Zhou, Steve Jiang, Kevin Albuquerque, Xuejun Gu, "Deep Convolutional Neural Network with Transfer Learning for Rectum Toxicity Prediction in Cervical Cancer Radiotherapy: A Feasibility Study," Physics in Medicine and Biology (PMB) , Vol. 62, No. 21, pp. 8246 - 8263, 2017 (Editor's Choice) . [ Paper ] Haotian Xu, Ming Dong, Zichun Zhong , "Directionally Convolutional Networks for 3D Shape Segmentation," IEEE International Conference on Computer Vision (ICCV) , pp. 2698 - 2707, Venice, Italy, October 2017. [ Paper ] Saifeng Ni, Zichun Zhong , Yang Liu, Wenping Wang, Zhonggui Chen, Xiaohu Guo, "Sliver-Suppressing Tetrahedral Mesh Optimization with Gradient-Based Shape Matching Energy," Computer-Aided Geometric Design (GMP 2017) , Vol. 52-53, pp. 247 - 261, 2017. [ Paper ] Yiqi Cai, Xiaohu Guo, Yang Liu, Wenping Wang, Weihua Mao, Zichun Zhong , "Surface Approximation via Asymptotic Optimal Geometric Partition," IEEE Transactions on Visualization and Computer Graphics (TVCG), Vol. 23, No. 12, pp. 2613 - 2626, 2017. [ Paper ] Hai Jin, Xun Wang, Zichun Zhong , Jing Hua, "Robust 3D Face Modeling and Reconstruction from Frontal and Side Images," Computer-Aided Geometric Design , Vol. 50, pp. 1 - 13, 2017. [ Paper ] Jiaxi Hu, Hajar Hamidian, Zichun Zhong , Jing Hua, "Visualization of Shape Deformations by Variation of Geometric Spectrum," IEEE Transactions on Visualization and Computer Graphics (TVCG) (IEEE SciVis 2016) , Vol. 23, No. 1, pp. 721 - 730, 2017. [ Paper ] Hajar Hamidian, Jiaxi Hu, Zichun Zhong , Jing Hua, "Quantifying Shape Deformations by Variation of Geometric Spectrum," The 19th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) , Athens, Greece, October 2016. [ Paper ] Zichun Zhong , Jing Hua, "Kernel-Based Adaptive Sampling for Image Reconstruction and Meshing," Computer-Aided Geometric Design (GMP 2016) , Vol. 43, pp. 68 - 81, 2016. [ Paper ] Haibin Chen, Zichun Zhong , Yuliang Liao, Arnold Pompo, Brian Hrycushko, Kevin Albuquerque, Xin Zhen, Linghong Zhou, Xuejun Gu, "A Non-rigid Point Matching Method with Local Topology Preservation for Accurate Bladder Dose Summation in High Dose Rate Cervical Brachytherapy," Physics in Medicine and Biology (PMB) , Vol. 61, No. 3, pp. 1217 - 1237, 2016. [ Paper ] Zichun Zhong , Xuejun Gu, Weihua Mao, Jing Wang, "4D Cone-Beam CT Reconstruction Using Multi-Organ Meshes for Sliding Motion Modeling," Physics in Medicine and Biology (PMB) , Vol. 61, No. 3, pp. 996 - 1020, 2016. [ Paper ] Zichun Zhong , Xuejun Gu, Weihua Mao, Xiaohu Guo, Jing Wang, "GPU-Based 4D Cone-Beam CT Reconstruction by Mesh Method," The 13th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (FULLY3D), 2015 (Oral Presentation, Top 2 with GPU Award). [ Paper ] Chao Wang, Yang Liu, Xiaohu Guo, Zichun Zhong , Binh Huy Le, Zhigang Deng, "Spectral Animation Compression," Journal of Computer Science and Technology (CVM 2015) , Vol. 30, No. 3, pp. 540 - 552, 2015. [ Paper ] Yiqi Cai, Xiaohu Guo, Zichun Zhong , Weihua Mao, "Dynamic Meshing for Deformable Image Registration," Computer-Aided Design (SPM 2014) , Vol. 58, pp. 141 - 150, 2015. [ Paper ] Zhichao Huang, Junfeng Yao, Zichun Zhong , Yang Liu, Xiaohu Guo, "Sparse Localized Decomposition of Deformation Gradients," Computer Graphics Forum (PG 2014) , Vol. 33, No. 7, pp. 239 - 248, 2014. [ Paper ] Zichun Zhong , Liang Shuai, Miao Jin, Xiaohu Guo, "Anisotropic Surface Meshing with Conformal Embedding," Graphical Models (GMP 2014) , Vol. 76, No. 5, pp. 468 - 483, 2014. [ Paper ] Zichun Zhong , Xiaohu Guo, Wenping Wang, Bruno Lvy, Feng Sun, Yang Liu, Weihua Mao, "Particle-Based Anisotropic Surface Meshing," ACM Transactions on Graphics (SIGGRAPH 2013) , Vol. 32, Issue 4, Article No. 99, July 2013. [ Project Website ] [ UTD-News ] Current Funded Research Projects: NSF: CRII: ACI: 4D Dynamic Anisotropic Meshing and Applications, 07/01/2017-06/30/2019 Teaching: Winter 2019: (Registering now) CSC 6991 3D Graphical and Geometric Modeling Office Hours: Tuesday & Thursday 2:00 PM - 3:00 PM Fall 2018: CSC 3400 Human-Computer Interaction CSC 7991 Advanced Cyber-Human Interactions Winter 2018: CSC 6991 3D Graphical and Geometric Modeling Fall 2017: CSC 3400 Human-Computer Interaction CSC 7991 Advanced Cyber-Human Interactions Winter 2017: CSC 6991 3D Graphical and Geometric Modeling Fall 2016: CSC 3400 Human-Computer Interaction Winter 2016: CSC 3400 Human-Computer Interaction Fall 2015: CSC 6991 Geometric Modeling and Applications in Computer Graphics Professional Presentations: "Computing a High-Dimensional Euclidean Embedding from an Arbitrary Smooth Riemannian Metric," Technical Paper Session, ACM SIGGRAPH 2018 , Vancouver, British Columbia, Canada, August 2018. "3D Adaptive Meshing and Its Applications," Invited Talk, Department of Mathematics, Wayne State University , Detroit, April 2018. "Directionally Convolutional Networks for 3D Shape Segmentation," IEEE International Conference on Computer Vision (ICCV) , Venice, Italy, October 2017. "3D/4D Meshing and Its Applications in Medical Imaging," Invited Talk, Department of Radiation Oncology, Wayne State University , Detroit, February 2017. "GPU-Based 4D Deformable Image Registration Using Adaptive Tetrahedral Mesh Modeling," Image Registration and Segmentation Session of 58th Annual Meeting of American Association of Physicists in Medicine (AAPM) , Washington, DC, August 2016. "Robust 3D Face Modeling and Reconstruction from Frontal and Side Images," 10th International Conference on Geometric Modeling and Processing (GMP 2016) , San Antonio, Texas, April 2016. "Kernel-Based Adaptive Sampling for Image Reconstruction and Meshing," 10th International Conference on Geometric Modeling and Processing (GMP 2016) , San Antonio, Texas, April 2016. "Adaptive Meshing and Its Applications in Medical Imaging," Invited Talk, Department of Radiation Oncology, Wayne State University , Detroit, March 2016. "4D Cone-Beam CT Reconstruction Using Multi-Organ Meshes for Sliding Motion," Symposium of Imaging in Motion and Beyond, Wayne State University and Henry Ford Health System , Detroit, January 2016. "A Multi-Organ Meshing Method for Sliding Motion Modeling in 4D-CBCT Reconstruction," Scientific Session: Physics XI -Management of Motion in Planning and Delivery of 57th Annual Meeting of the American Society for Radiation Oncology (ASTRO) , San Antonio, October 2015. "GPU-Based 4D Cone-Beam CT Reconstruction Using Feature-Based Mesh," Next Generation CBCT Session of 57th Annual Meeting of American Association of Physicists in Medicine (AAPM) , Anaheim, July 2015. "4D Cone-Beam CT Reconstruction Using Multi-Organ Meshes for Sliding Motion," Next Generation CBCT Session of 57th Annual Meeting of American Association of Physicists in Medicine (AAPM) , Anaheim, July 2015. "GPU-Based 4D Cone-Beam CT Reconstruction by Mesh Method," High Performance Computing Session of The 13th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (FULLY 3D) , Newport, Rhode Island, June 2015 (Top 2 with GPU Award) . "A Novel Mesh-Based Deformable Surface-Contour Registration," Image Registration Session of 56th Annual Meeting of American Association of Physicists in Medicine (AAPM) , Austin, July 2014. "A Novel Mesh-Based Deformable Surface-Contour Registration," Research Seminar, Department of Radiation Oncology, UT Southwestern Medical Center at Dallas , Dallas, June 2014. "Adaptive Meshing and Its Applications," Ph.D. Dissertation Defense, Department of Computer Science, The University of Texas at Dallas , Richardson, April 2014. "Adaptive Meshing and Its Applications," Invited Talk, Department of Radiation Oncology, UT Southwestern Medical Center at Dallas , Dallas, December 2013. "A Novel Volumetric Imaging Method Using a Sparse Subset of CBCT Projections," Science Council Session of 55th Annual Meeting of American Association of Physicists in Medicine (AAPM) , Indianapolis, August 2013. "Particle-Based Anisotropic Surface Meshing," Technical Paper Session, ACM SIGGRAPH 2013 , Anaheim, July 2013. "Adaptive Mesh Generation for Registering 3D Images with 2D Projections," UT Metroplex Day , Dallas, March 2013. "A Splatting Method to Generate DRRs for Deformed CT Volume," 54th Annual Meeting of American Association of Physicists in Medicine (AAPM) , Charlotte, July 2012. "GPU Programming Basics," Invited Talk, Department of Radiation Oncology, UT Southwestern Medical Center at Dallas , Dallas, August 2010. Selected Honors: Science Council Session Award , AAPM 2017, Denver, Colorado, August 2017 GPU Award for Paper: "GPU-Based 4D Cone-Beam CT Reconstruction by Mesh Method" , The 13th FULLY 3D, Newport, Rhode Island, June 2015 Certificate of Academic Excellence , Department of Computer Science, The University of Texas at Dallas, Richardson, Texas, December 2013 Media Coverage : "Anisotropic Surface Meshing" research posted as top news on UTD website November 2013 Science Council Session Award , AAPM 2013, Indianapolis, Indiana, August 2013 Volunteer Recognition - Web Development , ACM Multimedia Conference 2011, Scottsdale, Arizona, December 2011 Second and Third Class of Postgraduate's Excellent Scholarship , The University of Electronic Science and Technology of China, Chengdu, China, 2006 - 2008 Excellent Student Leadership , The University of Electronic Science and Technology of China, Chengdu, China, 2006 - 2008 Excellent Prize of "Mairui" Cup Software Design Competition , The University of Electronic Science and Technology of China, Chengdu, China, 2007 Second Place of "Tencent Innovation Design Competition" , The University of Electronic Science and Technology of China, Chengdu, China, 2007 Excellent Graduate of Sichuan Province , The University of Electronic Science and Technology of China, Chengdu, China, 2006 Third Place of "CCTV" Cup English Speech Competition , The University of Electronic Science and Technology of China, Chengdu, China, 2005 Special and First Class of University Student Scholarship , The University of Electronic Science and Technology of China, Chengdu, China, 2002 - 2006 Professional Services: Journal and Conference Paper Reviewer: Computer Graphics and Geometric Modeling: ACM Transactions on Graphics (TOG) Computer Graphics Forum (CGF) Computer-Aided Design (CAD) Computer Aided Geometric Design (CAGD) Graphical Models (GMOD) Geometric Modeling and Processing (GMP) The Symposium on Solid and Physical Modeling (SPM) International Conference on Computer Animation and Social Agents (CASA) Pacific Graphics (PG) Visualization: IEEE Transactions on Visualization and Computer Graphics (TVCG) Computational Visual Media (CVM) The Visual Computer (TVCJ) IEEE Visualization (VIS) International Conference on Virtual Reality and Visualization (ICVRV) Multimedia: IEEE Transactions on Multimedia Journal of Multimedia (JMM) Multimedia Tools and Applications (MTAP) Multimedia Systems (MMSJ) International Journal of Computers and Applications (TJCA) Medical Imaging: Medical Physics Journal of X-Ray Science and Technology Current Medical Imaging Reviews (CMIR) International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) Others: Digital Signal Processing - Elsevier Measurement Science and Technology - IOPscience Journal of Computer Applications (China) Conference PC Member: Solid and Physical Modeling (SPM) 2017 Geometric Modeling and Processing (GMP) 2016 , 2017 , 2019 Computational Visual Media Conference (CVM) 2019 International Workshop on Interactive and Spatial Computing (IWISC) 2018 , 2019 Students: Current Ph.D. Students: Yifan Wang (Fall 2016 ~) Sikai Zhong (Fall 2016 ~) Kaiyue Zhou (Fall 2016 ~) Artem Komarichev (Fall 2017 ~) Current M.S. Students: Mohammad Abdollahi (Fall 2018 ~) Current B.S. Students: Bandhanpreet Kaur (ROEU Awardee, Fall 2018 ~) Yashwant Kondapalli (ROEU Awardee, Fall 2018 ~) Advised B.S. Students: Hussein Mehdi (ROEU Awardee, Fall 2017 ~ May 2018) Last Update: September, 2018 diff --git a/src/data/compiled_bios/3048.txt b/src/data/compiled_bios/3048.txt new file mode 100644 index 0000000000..049f55ca73 --- /dev/null +++ b/src/data/compiled_bios/3048.txt @@ -0,0 +1 @@ + Dongxiao Zhu Department of Computer Science 5057 Woodward Ave. Suite 14101.3 Wayne State University , Detroit, MI 48202 Short Bio: Dongxiao Zhu is currently an Associate Professor at Department of Computer Science, Wayne State University . He received the B.S. degree from Shandong University (1996), the M.S. degree from Peking University (1999) and the Ph.D. degree from University of Michigan (2006). Dongxiao Zhu's recent research interests are in machine learning and data science with applications to health informatics, natural language processing and multimedia. Dr. Zhu is the Director of Machine Learning and Data Science Lab and the Director of Computer Science Graduate Program at Wayne State University. He has published over 60 peer-reviewed publications and numerous book chapters and he served on several editorial boards of scientific journals. Dr. Zhu's research has been supported by NIH, NSF and private agencies and he has served on multiple NIH and NSF grant review panels. Dr. Zhu has advised numerous students at undergraduate, graduate and postdoctoral levels and his teaching interest lies in programming language, data structures and algorithms, machine learning and data science. Recent publications in last 3 years ( All publications, book chapters & software ): Nezhad, MZ, Sadati, N, Yang, K and Zhu, D. A deep active survival analysis approach for precision treatment recommendations: application of prostate cancer . Expert Systems with Applications . Vol. 15, 16-26. Zheng, J, Gao, L, Zhang, H, Zhu, D, Wang, H, Gao, Q and Leung, V. Joint energy management and interference coordination with Max-Min fairness in ultra-dense hetnets . IEEE Access , Vol. 6, 32588-32600. Wang, L, Zhu, D, Towner, E and Dong, M (2018) Obesity risk factors ranking using multi-task learning . IEEE Conference on Biomedical and Health Informatics (IEEE-BHI 2018), Las Vegas, March, 2018. Li, X and Zhu, D (2018) Robust feature selection via l 2, 1 -norm in finite mixture of regression . Pattern Recognition Letters , https://doi.org/10.1016/j.patrec.2018.02.021 . Wang, L, Zhu, D and Dong, M (2018) Clustering over-dispersed data with mixed feature types . Statistical Analysis and Data mining , 11(2), 55-65, April 2018. Li, X, Zhu, D and Dong, M (2018) Multinomial classification with class-conditional overlapping sparse feature groups . Pattern Recognition Letters , vol 101, Jan. 2018, pp 37-43 Source Code . Wang, L, Acharya, L, Bai, C and Zhu, D (2017) Transcriptome assembly strategies for precision medicine . Quantitative Biology , pp 1-11 , https://doi.org/10.1007/s40484-017-0109-2. Wang, L, Zhu, D* , Li, Y and Dong, M (2017) Modeling Over-dispersion for Network Data Clustering . In the proceeding of 16 th IEEE International Conference on Machine Learning and Application (ICMLA17). ( Best Paper Award Top 3 Finalist , *Corresponding Autor) Nezhad, MZ, Zhu, D*, Yang, K and Levy, P. (2017) A Supervised Bi-Clustering Approach for Precision Medicine . In the proceeding of 16 th IEEE International Conference on Machine Learning and Application (ICMLA17). ( Best Poster Award Top 3 Finalist , *Corresponding Autor) Li, X, Zhu, D and Levy, P (2017) Predictive Deep Network with Leveraging Clinical Measure as Auxiliary Task . In the proceedings of 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM17) Wang, L, Li, Y, Zhou, J, Zhu, D and Ye, J (2017) Multi-task Survival Analysis . In the proceedings of 2017 IEEE International Conference on Data Mining (ICDM17) Li, X, Zhu, D, Dong, M, Nezhad, MZ and Levy, P (2017) SDT: A Tree Method for Detecting Patient Subgroups with Personalized Risk Factors . In the proceedings of 2017 American Medical Information Association (AMIA) Summit on Clinical Research Informatics , San Francisco, March 2017. Nezhad, MZ, Zhu, D, Li, X, Yang, C and Levy, P (2016) SAFS: A Deep Feature Selection Approach for Precision Medicine . In the proceedings of 2016 IEEE Inernational Conference on Bioinformatics and Biomedicine (IEEE BIBM 2016). Xu, H, Dong, M, Zhu, D, et al. (2016) Text Classification with Topic-based Word Embedding and Convolutional Neural Networks . In the proceedings of 2016 ACM Conference on Bioinformatics, Computational Biology and Health Informatics (ACM BCB 2016). Wang, L, Zhu, D, Li, Y and Dong, M. (2016) Poisson-Markov Mixture Model and Parallel Algorithm for Binning Massive and Heterogeneous DNA Sequencing Reads . In the Series of Lecture Notes in Computer Science (ISBRA 2016). Almomani, R, Dong, M and Zhu, D. (2016) Bayesian Hierarchical Appearance Model for Robust Object Tracking . In the Proceeding of International Conference on Multimedia and Expo (ICME 2016). Almomani, R, Dong, M and Zhu, D. (2016) Object Tracking via Dirichlet Process-based Appearance Models . Neural Computing and Applications , in press. DOI: 10.1007/s00521-016-2280-1. Selected Federal Fundings : NSF/CCF: S&CC: Promoting a Healthier Urban Community: Prioritization of Risk Factors for the Prevention and Treatment of Pediatric Obesity. 09/01/2016-08/31/2019. ( co-Principal Investigator ) NSF/IIS: S&AS: INT: Autonomous Battery Operating System (ABOS): An Adaptive and Comprehensive Approach to Efficient, Safe, and Secure Battery System Management . 09/01/2017-08/31/2021. ( Senior Personnel ) NSF/CCF : EAGER: A novel algorithmic framework for discovering subnetworks from big biological data. 08/15/2014-08/14/2017. ( Principal Investigator ) NIH/NLM : R21.A new informatics paradigm for reconstructing signaling pathways in human disease. 09/2009 08/2012. ( Principal Investigator ) NIH/NCI : R01. Analysis of Epstain-Barr virus type III latency on cellular miRNA gene expression. ( co-Investigator ) NSF/CCF : CPATH: A verification based learning model that enriches CS and related undergraduate programs. ( co-Principal Investigator ) Current Students Whose Research under My Supervision : Lu Wang (CS Ph.D. candidate) Xiangrui Li (CS Ph.D. candidate) Deng Pan (CS Ph.D.candidate) Xin Li (CS Ph.D.candidate) Yashar Naderzadeh Ardebili(CS Ph.D. pre-candidate) Najibesadat Sadatijafarkalaei (CS Master thesis student, ISE Ph.D. student) Xue Zhang (CS Master thesis student) Rui Cao (CS visiting scholar) Past Students & Postdoc : Milad Zafar Nezhad(Ph.D. 2018). First Position: Data Scientisit @ Ford Motor Company Mohammad Hessam Olya (Ph.D. 2018).First Position: Data Scientisit @ Ford Motor Company Narjes S. Movahedi (Ph.D. 2015). First Position: Software Engineer @ MathWorks Nan Deng (Ph.D. 2014). First Position: Senior Research Bioinformatician @ Cedars Sinai Medical Center Thair Judeh (Ph.D. 2014).First Position:: Lecturer @ Wayne State University Computer Science Department Lipi R. Acharya (Ph.D. 2011). First Position: Senior Computational Biologist @ Dow AroSciences Patrick Trahan (M.S. 2009)First Position: IT Professional @ Lousiana State Univeristy Helath Science Center Sichu Li (M.S. 2009) First Position: Staff Scientist @ MITRE Corperation Guorong Xu (M.S. 2011) First Position: Computational Biologist @ Baylor Medical Center Dallas Kristen Johnson (M.S. 2012) First Position: PhD Student @ Purdue University Computer Science Department Jingwei Zhang (M.S. 2017). Fisrt Position: Software Engineer @ New Jersey Zhangsheng Duan (2010 - 2011). First Position: Associate Professor @ Xi'an JiaoTong University, China Synergistic Activities: National Science Foudation Panelist, 2009(2),2011, 2013, 2014 (mail reviewer), 2015, 2017. National Institute of Health ACE Study Section, 2009-2011, multiple special emphasis panels 2011-2016. Associate Editor: BMC Genomics Associate Editor: EURASIP Journal on Bioinformatics and Systems Biology Associate Editor: Frontiers in Genetic s Academic Editor: PLoS ONE Associate Editor (Bioinformatics): Science China - Life Sciences Editorial Board Member: Scientif Reports Editorial Board Member: International Journal of Computational Biology and Drug Design Guest Editor: IEEE/ACM transaction on Computational Biology and Bioinformatics (TCBB) ; BMC Bioinformatics . Conference technical committee: BIBM 2018, BCB 2018, BIBM 2017, BCB 2017, ICMLA 2017, BIBM 2016, InCoB'16, BIBM 2015, InCoB'15, BIBM'14, GENSIPS'14, GLBIO'14, ICIBM'14, InCoB'14, GENSIPS'13, GLBIO'13, ICIBM'13, InCoB'13, GENSIPS'12, BIOKDD'12, BIBM'12, CME12 , BIBM10, BIBM09, BIBM08, SERA10, SERA09, IBW10 Program/Session/Workshop chair: ACM-BCB'15, ICIBM'14, IEEE-ICMLA'14, ACM-BIOKDD'14, ICIBM'13, ACM-BCB'14, ACM-BCB'13, ACM-BCB'12, IEEE-BIBM'13, IEEE-BIBM'12, ICIBM'12, IEEE-BIBM'11,ENAR07. Journal reviewer: Bioinformatics, Briefings in Bioinformatics, Nucleic Acids Research, Genome Biology, Genome Medicine, BMC Genomics, BMC Bioinformatics, BMC Systems Biology, Biometrics, PLoS Genetics, PLoS ONE, Biology Direct, IEEE transaction on Fuzzy Systems, IEEE transaction on Computational Biology and Bioinformatics, IEEE Signal Processing Letters, IEEE transaction on Computers, EURASIP Computational Biology and Bioinformatics, EURASIP Bioinformatics and Sysmtems Biology, IET Systems Biology, Physics Review, Statistics in Medicine, Communications in Statistics, Radiation Research Classroom Teaching ( Computer Science Department at Wayne State University ): CSC 8860 Seminar Topics in Computer Vision and Pattern Recognition. Fall 2017 CSC 7825 Machine Learning. Fall 2014, Fall 2015, Fall 2016, Winter 2019 CSC 6580 Design and Analysis of Algorithms. Winter 2015, Winter 2016, Winter 2017 CSC 5825 Intro. to Machine Learning and Applications. Winter 2017, Fall 2017, Fall 2018 CSC 5991 Special Topics in Comp. Sci. Fall 2012, Fall 2013, Winter 2014 , Winter 2015, Winter 2016 CSC 2110 Comp. Sci. I (C++ Programming) . Fall 2011, Winter 2012, Winter 2013, Fall 2013 Classroom Teaching (Computer Science Department at University of New Orleans): CSCI 6587 Adv. Machine Learning in Bioinformatics . Fall 2009 . CSCI 4632(G) Principles of Image Processing . Fall 2010 . CSCI 1205 Intro. Programming in C++ .Spring 2009 . CSCI 2025 Data Structure and Applications . Spring 2008, Spring 2009, Fall 2009, Spring 2010 . CSCI 6635 Pattern Recognition . Fall 2008, Spring 2010, Spring 2011. Classroom Teaching (School of Science and Engineering at Chinese University of Hongkong, Shenzhen): CSC 4008 Data Mining Techniques . Spring 2018 . CIE 6024 Selected Topics in Deep Learning . Spring 2018 . Past Postdoc Scholar : diff --git a/src/data/compiled_bios/3049.txt b/src/data/compiled_bios/3049.txt new file mode 100644 index 0000000000..3dd11e3fec --- /dev/null +++ b/src/data/compiled_bios/3049.txt @@ -0,0 +1 @@ + Assistant Professor, Computer Science Email Preferred: thomas.austin@sjsu.edu Education Doctor of Philosophy, Computer Science, Univ Of Cal-Santa Cruz, 2013 Doctor of Philosophy, Computer Science, Univ Of Cal-Santa Cruz, California, United States, 2013 Master of Science, Computer Science, CSU-San Jose, California, United States, 2008 Bachelor of Science, Operations and Management of Information Systems, Santa Clara Univ, California, United States, 1998 diff --git a/src/data/compiled_bios/305.txt b/src/data/compiled_bios/305.txt new file mode 100644 index 0000000000..979319630c --- /dev/null +++ b/src/data/compiled_bios/305.txt @@ -0,0 +1 @@ + mcneese@clemson.edu Nathan J. McNeese Home Publications Funding Teaching CV Prospective Students TRACE Research Group more... Assistant Professor , Human-Centered Computing @ ClemsonUniversity Member: HFI @ ClemsonUniversity ; CUSHR Founding Director: TRACE Research Group; TRACE Programming Bootcamp; Clemson Autonomy Research Team Mailing Address 218 McAdams Hall Clemson, SC 29634 Email mcneese@clemson.edu Twitter @nathanmcneese LinkedIn Greetings! I am an Assistant Professor and Director of the Team Research Analytics in Computational Environments (TRACE) Research Group within thedivision of Human-Centered Computing in the School of Computing atClemson University . I also hold anaffiliationin ClemsonsHuman Factors Institute . In addition, I am a Faculty Scholar in Clemsons School of Health Research and a Watt Family Faculty Fellow . I received my PhD in Information Sciences & Technology with a focus on Team Decision Making, Cognition, and Computer SupportedCollaborativeWork from The Pennsylvania State University in the fall of 2014 with Madhu Reddy (now at Northwestern) as myadvisor.After graduation, I accepted a position to be a Postdoctoral Scholar and Research Associate in Human Systems Engineering at Arizona State University working directly with Nancy Cooke . My research interests are wide ranging and interdisciplinary, but can be generally linked to the integration of teamwork and technology in: -Human Factors -Human Computer Interaction -Artificial Intelligence -C omputer Supported Cooperative Work -Information Sciences For over 10 years, I have conducted research mainly focused on teamwork and collaborativetechnology within a variety of different contexts. My current research interests span acrossthe study of better understanding the relationship of team cognition and technology,human-machine teaming, and the development/design of human-centered collaborative tools and systems. Specific contexts that I have conducted my research in: healthcare systems, homeland security, command andcontrol, and emergency crisis management . Throughout all of my research, Itypically use multiple mixed methods to understand the context, work, and roles specific to the development of individual and team cognition. I currently serve on multiple international/societal program and technical committees, in addition to multiple editorial boards including Human Factors. As a result of my work, my research has been published in peer-reviewed venues over 50 times and I have acquired over $8M in research funding . Research Interests & Expertise: Human factors, team decision-making, human-computer interaction, artificial intelligence, computer-supported cooperative work, team cognition, cognitive science, usability research and design, collaborative system design, human-centered design, team mental models, mental models, collaboration, collaborative information seeking, cognitive task analysis, knowledge elicitation, human autonomy teaming, healthcare systems, big data, simulations, cybersecurity Research Methods: A/B testing, card sorting, cognitive walkthrough, concept mapping, contextual inquiry, ethnography, experimental design, focus groups, heuristic evaluation, interviewing, personas, prototyping, scenarios, surveying, task analysis, usability testing, wireframing News (Assuming I Routinely Update This) 2-5. TRACE Research Group received a grant of $26k to fund a 3 week session of TRACE Programming Bootcamp . This is a programming camp focused on web development and will greatly help students at Clemson (across all Colleges) articulate their technical skills. 2.4. Paper accepted to 2019 Cogsima 1.15. Our $3M NSF NRT Program THINKER has started. We are actively looking for graduate students interested in this opportunity. The effort generally focuses on human-centered design and smart manufacturing. 1.11. Paper presented at HICSS. 11.19 Paper accepted to 2019 iConference. Talks and Travel (Recent) April 2019 Georgia Tech January 2019 Hawaii International Conference on System Science (HICSS). Maui, HI. November 2018 Clemson Business Anthropology Clemson Industrial Engineering October 2018 Clemson Computer Science HFES 2018. Philadelphia, PA/ August 2018 2018 ONR Science of Autonomy Program Review Meeting CCC Early CareerSymposium. DC. April 2018 Duke University March 2018 Human Factors and Ergonomics in Health Care Symposium. Boston, MA TRACE Research Group diff --git a/src/data/compiled_bios/3050.txt b/src/data/compiled_bios/3050.txt new file mode 100644 index 0000000000..5c33a8f4a6 --- /dev/null +++ b/src/data/compiled_bios/3050.txt @@ -0,0 +1 @@ + Assistant Professor, Computer Science philip.heller@sjsu.edu Education Doctor of Philosophy, Bioinformatics, University of California, Santa Cruz, 2014 Master of Science, Computer Science, San Jose State University, 2008 Bachelor of Science, Electrical Engineering / Computer Science,University of California, Berkeley, 1977 diff --git a/src/data/compiled_bios/3051.txt b/src/data/compiled_bios/3051.txt new file mode 100644 index 0000000000..5569b29b54 --- /dev/null +++ b/src/data/compiled_bios/3051.txt @@ -0,0 +1 @@ + Prof Dude in Computer Science Department i work in distributed systems, cloud, big data, networking, and operating systems. i love working with grads/undergrads on projects, but i will not be taking on any students my first year. Email Preferred: ben.reed@sjsu.edu Telephone Preferred: 408 924-5174 Office Hours MH 213 monday & wednesday: 11:00-12:00, 3:00-4:00 tuesday: 3-4 thursday: 4-6 in room 1430 of the student union building (across from jamba juice) friday: 11:30-12:30 Education Ph.D. 2000 University of California Santa Cruz, Computer Science. M.S. 1993 DePaul University, Chicago, IL, Computer Science. B.A. 1987 Miami University, Oxford, OH, Mathematics; Computer Systems minor. Licenses and Certificates car and motorcycle license from california Bio once upon a time a little boy who was born in arizona moved with his family to ohio. he was excited to see snow. after a couple of days waiting for the bus in the snow, his excitement turned to misery. to this day he doesn't like snow. while not suffering in the snow he dreamed of living in "silicon valley" and becoming a professor. he went to miami university in ohio, spent a brief 2 years in spain, and got his masters at depaul in chicago. fortunately, tuition reimbursement while working in IT at sears and motorola paid for his education at depaul. he loved the midwest and considered himself to be a midwesterner. he was accepted to UCSC to work on his PhD. he was excited to see the ocean and go to the beach. after arriving in santa cruz, his excitement turned to disappointment when his first trip to the beach consisted of freezing cold water, stinky seaweed, and a naked guy running around. he loved the program at UCSC and ended up getting a position at IBM almaden research center, after an awesome internship there, while he was still finishing up his PhD. after many years at IBM, he left for yahoo research. it was hard to leave yahoo until they shut down the research division, so it was time for the boy to move on. he saw the things facebook was doing to connect the world, and he wanted to be part of that mission, but ended up going to osmeta, a little startup with some really cool tech and people. as chance would have it, facebook acquired osmeta, and the boy was able to work on really cool stuff at a really cool company that he felt was making the world a better place. by now the boy had been in california so long and felt so at home here that he considered himself to be a californian. this year, the boy found out that SJSU had an opening in the CS department. he applied and is now part of the CS faculty, and all of his dreams have come true: a faculty position in silicon valley. the end if you want the more official/boring version, here is my CV . if you want the sales pitch, here is my research statement . diff --git a/src/data/compiled_bios/3052.txt b/src/data/compiled_bios/3052.txt new file mode 100644 index 0000000000..1897d1a05e --- /dev/null +++ b/src/data/compiled_bios/3052.txt @@ -0,0 +1 @@ + The page you requested cannot be found. You may have used an outdated link or may have typed the address (URL) incorrectly. If you entered the URL manually, please check your spelling and try again. Try a search The thing you were looking for may have just been moved. Try searching for it by name. .show-for-sr { position: absolute !important; width: 1px; height: 1px; padding: 0; overflow: hidden; clip: rect(0, 0, 0, 0); white-space: nowrap; -webkit-clip-path: inset(50%); clip-path: inset(50%); border: 0; } Search SJSU Search diff --git a/src/data/compiled_bios/3053.txt b/src/data/compiled_bios/3053.txt new file mode 100644 index 0000000000..34fca0bb94 --- /dev/null +++ b/src/data/compiled_bios/3053.txt @@ -0,0 +1 @@ + Professor, Computer Science Dept. Email Preferred: chris.tseng@sjsu.edu Education PhD, Electrical and Computer Engineering,University of Illinois at Urbana-Champaign, 1988 MS, Mathematics,University of Illinois at Urbana-Champaign, 1985 BS, Electrical Engineering, National Taiwan University, 1982 Links http://www.sjsu.edu/people/chris.tseng/assessment/ diff --git a/src/data/compiled_bios/3054.txt b/src/data/compiled_bios/3054.txt new file mode 100644 index 0000000000..7c678a3fe1 --- /dev/null +++ b/src/data/compiled_bios/3054.txt @@ -0,0 +1 @@ + Email Preferred: ching-seh.wu@sjsu.edu Telephone Preferred: (408) 924-8144 Education Ph.D. in Computer Science, Texas A&M University, College Station, Texas. - Dec. 2000 M.S. in Computer Science & Engineering, Air Force Institute of Technology (AFIT), Wright Patterson Air Force Base, Dayton, Ohio. - June 1995 Links CS 146 Spring 2019 - Add Request Form diff --git a/src/data/compiled_bios/3055.txt b/src/data/compiled_bios/3055.txt new file mode 100644 index 0000000000..271d8da6cd --- /dev/null +++ b/src/data/compiled_bios/3055.txt @@ -0,0 +1 @@ +Computer Science College of Engineering and Applied Science James Caldwell Professor of Computer Science Department head Room 4085, Engineering Building University of Wyoming College of Engineering and Applied Science Department of Computer Science Dept. 3315 1000 E. University Avenue Laramie, WY 82071 jlc@uwyo.edu Phone: (307) 766-6105 Research and Course web page Education Ph.D. Cornell University 1998 M.S. SUNY Albany 1988 B.S. SUNY Albany 1984 Professional Experience 2012-present: Head, Department of Computer Science, University of Wyoming. 2015-present: Professor, Department of Computer Science, University of Wyoming. 2004-2015: Associate Professor, Department of Computer Science, University of Wyoming. 2008: Professor (visiting), School of Computer Science, University of St Andrews, UK. 1998-2004: Assistant Professor, Department of Computer Science, University of Wyoming. 1988-1997: Computer Scientist, NASA Langley Research Center, Hampton, VA. 1985-1988: Software Engineer, Infologic at GE Corporate Research and Development, Schenectady, N.Y. 1983-1985: Software Engineer, Phoenix Data Systems, Albany, N.Y. 1980-1981: Systems Programmer, CMT Trade Center, N.Y., N.Y. Research Interests Broadly, my research area is the applications of logic and formal methods in computer science. My research is motivated by the close connection between mathematical proofs and computer programs, an idea that is made precise by the Curry-Howard isomorphism. Areas of specialty include functional programming, constructive logic, type theory, theorem proving, applications of proofs-as-programs, extraction of programs from formal proofs. I am also doing joint research with colleagues in the philosophy department designing logics to model beliefs. Selected Publications James Caldwell and Ryan Roan. Type Checking SQL for Secure Database Access, 2012 Symposium on Trends in Functional Programming (TFP 2012), University of St Andrews, UK. June 12-14, 2012. James Caldwell. Teaching natural deduction as a subversive activity , Third International Congress on Tools for Teaching Logic, June 1-4, 2011,Salamanca, Spain. Sunil Kothari and James Caldwell. A Machine Checked Model of Idempotent MGU Axioms for a List of Equational Constraints in Electronic Proceedings in Theoretical Computer Science, Vol. 42, pp. 24-38, July 14, 2010, Edinburgh, UK. Sunil Kothari and James Caldwell. A Machine Checked Model of MGU Axioms, Applications of Finite Maps and Functional Induction, UNIF 2009, the 23nd International Workshop on Unification, August 2, 2009, Montreal, CA Sunil Kothari and James Caldwell, On Extending Wand's Type Reconstruction Algorithm to Handle Polymorphic Let. Logic and Theory of Algorithms, Fourth Conference on Computability in Europe, CiE 2008 , Edited by Arnold Beckmann, Costas Dimitracopoulos, and Benedikt L pp. 254-263. University of Athens, June 2008. James Caldwell & Josef Pohl, Constructive Membership Predicates as Index Types, Electronic Notes in Theoretical Computer Science, 174 (7), p.3-16, Jun 2007 Tjark Weber & James Caldwell, Constructively Characterizing Fold and Unfold, in Logic Based Program Synthesis and Transformation, LNCS, Vol. 3018, pp. 110 - 127, 2004. diff --git a/src/data/compiled_bios/3056.txt b/src/data/compiled_bios/3056.txt new file mode 100644 index 0000000000..1c3459a6c3 --- /dev/null +++ b/src/data/compiled_bios/3056.txt @@ -0,0 +1 @@ +Computer Science College of Engineering and Applied Science Allyson Anderson Lecturer System Administrator Room 4068, Engineering Building University of Wyoming College of Engineering and Applied Science Department of Computer Science Dept. 3315 1000 E. University Avenue Laramie, WY 82071 allyson@uwyo.edu Phone: (307) 766-2299 Education M.S., Computer Science, University of Wyoming, 1994 B.S., Mathematics, University of Wyoming, 1991 B.S., Secondary Education, University of Wyoming, 1991 Professional Experience 2008-Present Senior Academic Professional Lecturer, Computer Science, University of Wyoming 2003-2008 Associate Academic Professional Lecturer, Computer Science, University of Wyoming 1997-2003 Assistant Academic Professional Lecturer, Computer Science, University of Wyoming 1994-1997 Temporary Academic Professional Lecturer, Computer Science, University of Wyoming 1994-Present System Administrator, Computer Science, University of Wyoming Research Interests Software Engineering, Agile Software Development, Computer Science Education diff --git a/src/data/compiled_bios/3057.txt b/src/data/compiled_bios/3057.txt new file mode 100644 index 0000000000..e7a812bd45 --- /dev/null +++ b/src/data/compiled_bios/3057.txt @@ -0,0 +1 @@ +Computer Science College of Engineering and Applied Science Mike Borowczak Assistant Professor & CEDAR Director, PhD, Computer Science, University of Cincinnati 2013 Room 4071BA, Engineering Building University of Wyoming College of Engineering and Applied Science Department of Computer Science Dept. 3315 1000 E. University Avenue Laramie, WY 82071 mike.borowczak@uwyo.edu Visit here for more information. Education PhD 2013: University of Cincinnati, Computer Science and Engineering BS 2007: University of Cincinnati, Computer Engineering Teaching Interests & Current Courses Taught I am currently teaching two upper-level Computer Science Courses: Computer Security Data Mining In addition to collegiate-level Computer Security and Data Mining, I am passionate about teaching the foundations of computer science at all levels, and a portion of my research focus is on teaching CS to novices K-16 and beyond. Some other collegiate level courses that I have taught include: VLSI Design Automation Instructional Planning Practicum Embedded System Security Research Interests I'm currently interested in the manipulation, anomaly detection, and security of data within hardware systems. Specifically, I am interested in: Information Discovery: Enable the discovery of information in complex data sets (e.g. biological sequences, financial and travel records, social media, astronomical audio/visual spectrum, etc.) using manipulation and anomaly detection algorithms derived from the emergent patterns of the data sets creation; and Information Masking: Secure information by manipulating data sets (e.g. biological sequences, swarm interaction, hardware devices, etc.) by focusing on and eliminating the relationship between a data source and its creation and instantiation. diff --git a/src/data/compiled_bios/3058.txt b/src/data/compiled_bios/3058.txt new file mode 100644 index 0000000000..88f766fa04 --- /dev/null +++ b/src/data/compiled_bios/3058.txt @@ -0,0 +1 @@ +Computer Science College of Engineering and Applied Science Thomas Bailey Jr. Professor of Computer Science Room 4081A, Engineering Building University of Wyoming College of Engineering and Applied Science Department of Computer Science Dept. 3315 1000 E. University Avenue Laramie, WY 82071 tbailey@uwyo.edu Phone: (307) 766-4914 Education Ph.D. Michigan State University 1978 M.S. University of Colorado 1969 B.S. Alma College 1964 Professional Experience Professor in Computer Science, University of Wyoming. 2008 -- Present Interim Department Head and Professor in Computer Science, University of Wyoming. 2008 Professor in Computer Science, University of Wyoming. 2000 - 2007 Department Head and Professor in Computer Science, University of Wyoming. 1998 - 2000 Department Head and Associate Professor in Computer Science, University of Wyoming. 1997 - 1998 Associate Professor in Computer Science, University of Wyoming. 1986 - 1997 Assistant Professor in Computer Science, University of Wyoming. 1980 - 1986 Lecturer in Computing Science, University of Wollongong, Wollongong, NSW, Australia. 1978 - 1980 Graduate Assistant in Computer Science, Michigan State University, East Lansing, Michigan. 1976 -1978 Instructor in Physics and Mathematics, Director of Computer Services, Alma College, Alma, Michigan. 1969 -1976 Research Interests Graph algorithms. Recursive algorithms. Polynomial time solutions to special cases of the Traveling Salesman Problem. Selected Publications B. Yu, T. Bailey, 2007. Processing partially specified queries over high-dimensional databases. Data Knowl. Eng. 62(1): pp 177-197. M. Arnold, T. Bailey, J. Cowles, and C. Walter, 2003. Fast Fourier transforms using the complex logarithmic number system, J. VLSI Sig. Proc. 33, 325--335. B. Yu, T. Bailey, R. Orlandic, and J. Somavaram, 2003. "KDBKD-Tree: A Compact KDB-Tree Structure for Indexing Multidimensional Data", Proceedings of IEEE International Conference on Information Technology: Coding and Computing, 676-680. T. Bailey and J. Cowles, 2000. Knuth's generalization of Takeuchi's tarai function: Preliminary report, In: M. Kaufmann and J Moore, editors, ACL2 Workshop Proceedings 2000, October 30-31, 2000, University of Texas at Austin. T. Bailey and J. Cowles, 1987, A convex hull inclusion test, IEEE Transactions on Pattern Analysis and Machine Intelligence PAMI-9, 312-316. T. Bailey and J. Cowles, 1984, Cluster definition by the optimization of simple measures, IEEE Transactions on Pattern Analysis and Machine Intelligence PAMI-6, 645-652. T. Bailey and R. Dubes, 1982, Cluster validity profiles, Pattern Recognition 15, 61-83. T. Bailey and G. Dromey, 1980, Fast string searching by finding subkeys in subtext," Inf. Proc. Letters 11, (31 Nov 1980). K. Pettis, T. Bailey, A.K. Jain and R. Dubes, 1979, An intrinsic dimensionality estimator from near-neighbor information, IEEE Trans. PAMI-1, 25-37. T. Bailey and A.K. Jain, 1978, A note on distance-weighted K-nearest-neighbor rules, IEEE Trans. SMC-8, 311-313. diff --git a/src/data/compiled_bios/3059.txt b/src/data/compiled_bios/3059.txt new file mode 100644 index 0000000000..5f5e6ca474 --- /dev/null +++ b/src/data/compiled_bios/3059.txt @@ -0,0 +1 @@ +Computer Science College of Engineering and Applied Science Amy Banic Associate Professor of Computer Science Room 4087, Engineering Building University of Wyoming College of Engineering and Applied Science Department of Computer Science Dept. 3315 1000 E. University Avenue Laramie, WY 82071 abanic@cs.uwyo.edu Phone: (307) 766-5485 Research and Course web page Selected Publications Education Ph.D. University of North Carolina at Charlotte 2008 M.S. University of North Carolina at Charlotte 2005 B.S. Duquesne University 2003 B.A. in Art Duquesne University 2003 Professional Experience 2011-present: Joint Appointment, Center for Advanced Modeling and Simulation, Center for Advance Energy Studies, Idaho National Laboratory. 2010-present: Assistant Professor, Department of Computer Science, College of Engineering and Applied Science, University of Wyoming. 2008-2010: Post-Doctorate Fellow, Department of Computer Science, School of Computing, Clemson University. 2006: Research Intern, Center for High Performance Computing, U.S. Naval Research Laboratory 2003-2008: Graduate Research Assistant, Department of Computer Science, College of Computing and Informatics, University of North Carolina at Charlotte. 2005-2006: Graduate Teaching Assistant, Department of Computer Science, College of Computing and Informatics, University of North Carolina at Charlotte. 2002-2003 Undergraduate Research Assistant, Department of Computer Science, Duquesne University 2001-2003: Undergraduate Teaching Assistant, Department of Computer Science, Duquesne University 2001-2002: Web Development Intern, Ceeva, Inc. Research Interests My research area is in 3-Dimensional (3D) User Interfaces, which focuses on Human-Centered Computing and Human-Computer Interaction for 3D environments such as Immersive Visualizations, Virtual Environments, and Virtual Humans, or embodied agents. diff --git a/src/data/compiled_bios/306.txt b/src/data/compiled_bios/306.txt new file mode 100644 index 0000000000..68ad9d3083 --- /dev/null +++ b/src/data/compiled_bios/306.txt @@ -0,0 +1 @@ + Home About Schedule Courses Research Etcetera "We know that every moment is a moment of grace, every hour an offering; not to share them would mean to betray them." --Elie Wiesel Eric Patterson, Ph.D. Associate Director, Digital Production Arts Associate Professor, Visual Computing School of Computing Clemson University diff --git a/src/data/compiled_bios/3060.txt b/src/data/compiled_bios/3060.txt new file mode 100644 index 0000000000..879183edfc --- /dev/null +++ b/src/data/compiled_bios/3060.txt @@ -0,0 +1 @@ +Computer Science College of Engineering and Applied Science Kim Buckner Associate Lecturer of Computer Science Room 4089, Engineering Building University of Wyoming College of Engineering and Applied Science Department of Computer Science Dept. 3315 1000 E. University Avenue Laramie, WY 82071 kbuckner@uwyo.edu Phone: (307) 766-5182 Research and Course web page Education Ph.D. University of Tennessee, 2003 M.S. University of Tennessee, 1998 B.S. Chapman University, 1993 Professional Experience Assistant Lecturer, Computer Science, University of Wyoming, 2008-Present Research Assistant, Post Doc., Oak Ridge National Lab, 2007-2008 Assistant Professor & Carson-Newman College, 2001-2005 Graduate Teaching/Research Assistant, University of Tennessee, Knoxville, 1995-2001 Chief Petty Officer (Aviation Electronics Technician), US Navy, 1975-1995 Research Interests Computer Science education, compiler construction, wide-area data access and distributed computing. Selected Publications K. Buckner, "A non-traditional approach to an assembly language course", Journal of Computing Sciences in Colleges, vol. 22 issue 1, pp 179-186, October 2006. K. Buckner, "Application Level Fault-Tolerance for ScaLAPACK in the NetSolve Environment", Technical Report UT-CS-98-409, 24 Nov 98. K. Buckner, "Timings and Memory Usage for the NAS Parallel Benchmarks on a Network of Sun Ultra Workstations", Technical Report UT-CS-98-408, 19 Nov 98. diff --git a/src/data/compiled_bios/3061.txt b/src/data/compiled_bios/3061.txt new file mode 100644 index 0000000000..748c7e77fc --- /dev/null +++ b/src/data/compiled_bios/3061.txt @@ -0,0 +1 @@ +Computer Science College of Engineering and Applied Science Jeff Clune Assistant Professor of Computer Science Room 4074, Engineering Building University of Wyoming College of Engineering and Applied Science Department of Computer Science Dept. 3315 1000 E. University Avenue Laramie, WY 82071 jeffclune@uwyo.edu Phone: (307) 766-5190 Research and Course web page Education Ph.D. in Computer Science, Michigan State University. 2005-2010. M.A. in Philosophy, Michigan State University. 2003-2005. Honors B.A. in Philosophy, University of Michigan. 1995-1999. Professional Experience Assistant Professor, University of Wyoming, 2012-Present Postdoctoral Fellow, Cornell University, Departments of Computer Science and Mechanical and Aerospace Engineering, 2010-2012. Postdoctoral Scientist, BEACON Center for the Study of Evolution in Action, Michigan State University, Summer 2010. Research Interests I study evolutionary computation, a technology that harnesses natural selection to evolve, instead of engineer, artificial intelligence, robots, and physical designs. I am also interested in learning how evolution produced the complex, diverse life on this planet. Here are some keywords that describe fields I perform research in: evolutionary algorithms (also known as genetic algorithms or evolutionary computation), neural networks (including evolving neural networks, having them learn, deep learning, and computational neuroscience), robotics, artificial intelligence, and research into the evolution of intelligence, complexity, evolvability, and altruism. Selected Publications Clune J, Mouret J-B, Lipson H (2013) The evolutionary origins of modularity. Proceedings of the Royal Society B. 280: 20122863. http://dx.doi.org/10.1098/rspb.2012.2863 Clune J, Stanley KO, Pennock RT, Ofria C (2011) On the performance of indirect encoding across the continuum of regularity. IEEE Transactions on Evolutionary Computation. 15(3): 346-367. Clune J, Pennock RT, Ofria C, Lenski RE (2012) Ontogeny tends to recapitulate phylogeny in digital organisms. The American Naturalist. 180: E54-E63. Clune J, Goldsby H, Ofria C, Pennock RT (2011) Selective pressures for accurate altruism targeting: Evidence from digital evolution for difficult-to-test aspects of inclusive fitness theory. Proceedings of the Royal Society. 278: 666-674. Clune J, Misevic D, Ofria C, Lenski RE, Elena SF, and Sanjuan R (2008) Natural selection fails to optimize mutation rates for long-term adaptation on rugged fitness landscapes. PLoS Computational Biology 4(9): e1000187. Clune J, Lipson H (2011) Evolving three-dimensional objects with a generative encoding inspired by developmental biology. Proceedings of the European Conference on Artificial Life. 144-148. Clune J, Beckmann BE, Ofria C, and Pennock RT (2009) Evolving coordinated quadruped gaits with the HyperNEAT generative encoding. Proceedings of the IEEE Congress on Evolutionary Computing. 2762-2771. Suchorzewski M, Clune J (2011) A novel generative encoding for evolving modular, regular and scalable networks. Proceedings of the Genetic and Evolutionary Computation Conference. 1523-1530. diff --git a/src/data/compiled_bios/3062.txt b/src/data/compiled_bios/3062.txt new file mode 100644 index 0000000000..acfa35c2f5 --- /dev/null +++ b/src/data/compiled_bios/3062.txt @@ -0,0 +1 @@ +Computer Science College of Engineering and Applied Science Ruben Gamboa Professor of Computer Science Room 4084B, Engineering Building University of Wyoming College of Engineering and Applied Science Department of Computer Science Dept. 3315 1000 E. University Avenue Laramie, WY 82071 307.766.5190 ruben@uwyo.edu Education M.S. (Astronomy) Swinburne Technical University (Online), 2013 Ph.D. University of Texas at Austin 1999 M.C.S. Texas A&M University 1986 B.S. Angelo State University 1984 Professional Experience Professor, University of Wyoming, 2015-present Associate Professor, University of Wyoming, 2007-2015 Assistant Professor, University of Wyoming, 2002-2007 Member, Technical Advisory Group, Morningstar, 2010-2011 Member, Technical Advisory Board, Logical Information Machines (LIM), 2000-2010 V.P. of Engineering, Loop One, 2000-2001 Founder and Member of Board of Directors, Logical Information Machines (LIM), 1990-2000 Junior Member, Technical Staff, Microelectronics and Computer Technology Corporation (MCC), 1988-1989 Research Interests ACL2, formalization of mathematics, automated theorem proving, applications of cloud computing and NoSQL databases Current Research Projects Continuing the ACL2(r) formalization of the transcendental functions in the x86 instruction set. This project is motivated by work of David Russinoff originallyat AMD and now at Intel. Continuing the formalization of various sequences and series in ACL2(r). Of particular interest are the convergence and divergence of summations of reciprocals of various setsof numbers, e.g., primes. Proving Lindemanns theorem andthe transcendence of e and in ACL2(r). This project is in support of a practical verification effort at Intel. Exploring the formalization of analog circuits in ACL2(r). This project is of interest to engineers at Centaur Technology, who use formal methods to reason about digital designs and would like a similar supportfor analog design. diff --git a/src/data/compiled_bios/3063.txt b/src/data/compiled_bios/3063.txt new file mode 100644 index 0000000000..e139e489f7 --- /dev/null +++ b/src/data/compiled_bios/3063.txt @@ -0,0 +1 @@ +Computer Science College of Engineering and Applied Science Robin K. Hill Lecturer, Department of Computer Science Affiliate, Department of Philosophy Affiliate, Wyoming Institute for Humanities Research Room 4083, Engineering Building University of Wyoming College of Engineering and Applied Science Department of Computer Science Dept. 3315 1000 E. University Avenue Laramie, WY 82071 hill@uwyo.edu Phone: 307-766-5190 Visit Dr. Hill's research website Education Ph.D., Computer Science, State University of New York at Buffalo, 1994 M.S., Management Information Systems, University of Arizona, 1980 M.A., Mathematical Logic, University of East Anglia, 1978 B.A., Philosophy, University of Wyoming, 1975 Teaching Computer Science, Information Systems, and Philosophy courses for the University of Wyoming, University of Maryland University College (European Division), State University of New York at Binghamton, Metropolitan State College, and others. Research Interests Blog on the Philosophy of Computer Science hosted by the Communications of the ACM, online at http://cacm.acm.org/blogs/blog-cacm/ Does Nature Use Data? The Work and Inspiration of the International Associaton for Computing and Philosophy What Makes a Program Elegant? The Work and Inspiration of the APA Newsletter on Philosophy and Computers Fiction as Model Theory The Work and Inspiration of the Commission on the History and Philosophy of Computing Fact Versus Frivolity in Facebook Ethical Theories Spotted in Silicon Valley Operating Systems as Possible Worlds The Ethical Problem of Software Neglect Deep Dictionary On the Ethics of Cyberwar It's Not the 'Why' Chromosome, It's the 'How' Human Acts and Computer Apps Tech Ethics at Work Examples of Phenomenology in Computing Articulation of Decision Responsibility First-Class Philosophical Failure diff --git a/src/data/compiled_bios/3064.txt b/src/data/compiled_bios/3064.txt new file mode 100644 index 0000000000..ee78599711 --- /dev/null +++ b/src/data/compiled_bios/3064.txt @@ -0,0 +1 @@ +Computer Science College of Engineering and Applied Science John Hitchcock Professor of Computer Science Adjunct Professor of Mathematics Room 4084A, Engineering Building University of Wyoming College of Engineering and Applied Science Department of Computer Science Dept. 3315 1000 E. University Avenue Laramie, WY 82071 jhitchco@uwyo.edu Phone: (307) 766-5341 Research and Course web page Education Ph.D. Iowa State University 2003 Professional Experience Professor, University of Wyoming, 2015-Present Associate Professor, University of Wyoming, 2009-2015 Scientific Staff Member, Centrum Wiskunde & Informatica, 2009-2010 (sabbatical appointment) Assistant Professor, University of Wyoming, 2003-2009 Research Interests Computational Complexity and Algorithmic Information Theory Selected Publications John M. Hitchcock, Limitations of Efficient Reducibility to the Kolmogorov Random Strings, Computability, 2012. Xiaoyang Gu, John M. Hitchcock, and A. Pavan., Collapsing and Separating Completeness Notions Under Worst-Case and Average-Case Hypotheses, Theory of Computing Systems, 2012. John M. Hitchcock, A. Pavan, and N. V. Vinodchandran., Kolmogorov Complexity in Randomness Extraction, ACM Transactions on Computation Theory, 2011. Baris Aydinlioglu, Dan Gutfreund, John M. Hitchcock, and Akinori Kawachi., Derandomizing Arthur-Merlin Games and Approximate Counting Implies Exponential-Size Lower Bounds. Computational Complexity, 2011. Ryan C. Harkins and John M. Hitchcock., Dimension, Halfspaces, and the Density of Hard Sets., Theory of Computing Systems, 2011. Lance Fortnow, John M. Hitchcock, A. Pavan, N. V. Vinodchandran, and Fengming Wang., Extracting Kolmogorov Complexity with Applications to Dimension Zero-One Laws., Information and Computation, 2011. Ryan C. Harkins and John M. Hitchcock., Exact Learning Algorithms, Betting Games, and Circuit Lower Bounds., International Colloquium on Automata, Languages, and Programming (ICALP), 2011. Christian Glasser, John M. Hitchcock, A. Pavan, and Stephen Travers., Unions of Disjoint NP-Complete Sets., Computing and Combinatorics Conference (COCOON), 2011. diff --git a/src/data/compiled_bios/3065.txt b/src/data/compiled_bios/3065.txt new file mode 100644 index 0000000000..fc9d99a9d0 --- /dev/null +++ b/src/data/compiled_bios/3065.txt @@ -0,0 +1 @@ +Computer Science College of Engineering and Applied Science James Ward Lecturer System Administrator Room 4065, Engineering Building University of Wyoming College of Engineering and Applied Science Department of Computer Science Dept. 3315 1000 E. University Avenue Laramie, WY 82071 seker@uwyo.edu Phone: (307) 766-6231 Research and Course web page Education M.S. 1997 University of Wyoming B.S. 1993 University of Wyoming Professional Experience 2011-Present Senior Academic Professional Lecturer, Computer Science, University of Wyoming 2000-Present System Administrator, Computer Science, University of Wyoming 2006-2011 Associate Academic Professional Lecturer, Computer Science, University of Wyoming 2000-2006 Assistant Academic Professional Lecturer, Computer Science, University of Wyoming 1998-2000 Computer Information Specialist, SDVC, University of Wyoming 1997-1998 Academic Professional Lecturer and System Administrator, Computer Science, University of Wyoming Research Interests Mobile programming (Android) Selected Publications Mishra, S. and J. Ward , "Replicated Revision Control System",International Journal of Parallel and Distributed Systems and Networks, 2001 Ward, J. , "Replicated Revision Control System", Parallel and Distributed Computing and Systems (PDCS'99) conference, 1999 Ward, J., Thesis: A distributed version control system for UNIX, 1997 diff --git a/src/data/compiled_bios/3066.txt b/src/data/compiled_bios/3066.txt new file mode 100644 index 0000000000..657acc5a6c --- /dev/null +++ b/src/data/compiled_bios/3066.txt @@ -0,0 +1 @@ + Amit Acharya Carnegie Mellon Civil and Environmental Engineering Menu Skip to content Home Publications Research Resume Teaching Welcome Professor Civil & Environmental Engineering Center for Nonlinear Analysis, Dept. of Mathematical Sciences Materials Science and Engineering (courtesy) Carnegie Mellon University Contact Carnegie Mellon University Pittsburgh, PA 15213 Tel. - (412) 268 4566 Fax - (412) 268 7813 Email : acharyaamit@cmu.edu Proudly powered by WordPress diff --git a/src/data/compiled_bios/3067.txt b/src/data/compiled_bios/3067.txt new file mode 100644 index 0000000000..380b31f085 --- /dev/null +++ b/src/data/compiled_bios/3067.txt @@ -0,0 +1 @@ + Peter Adams Professor, Civil and Environmental Engineering & Engineering and Public Policy Contact Doherty Hall 2112 Email 412-268-5624 412-268-7813 Address Civil & Environmental Engineering Carnegie Mellon University Pittsburgh, PA 15213-3890 Bio Peter Adams is a Professor in the Civil and Environmental Engineering Department and the Engineering and Public Policy Department at Carnegie Mellon University. His research largely focuses on development of chemical transport models and their application to decision-making, especially related to PM2.5. Adams also has extensive expertise in the simulation of aerosol microphysical processes, ultrafine particles and the formation of cloud condensation nuclei in global climate models. Areas of research have also included the effects of climate change on air quality, short-lived climate forcers, atmospheric ammonia and particulate matter formation from livestock operations, and the simulation organic particulate matter. Adams was selected for a Fulbright grant to collaborate with researchers at the Institute of Atmospheric Sciences and Climate in Bologna, has been a Visiting Senior Research Scientist at the National Aeronautics and Space Administrations Goddard Space Flight Center, and received the Sheldon K. Friedlander Award for outstanding doctoral thesis from the American Association for Aerosol Research. He has previously served on the Commonwealth of Pennsylvanias Air Quality Technical Advisory Committee and the Allegheny County Health Departments Air Toxics New Guidelines Proposal Committee as well as service to the American Association for Aerosol Research. His research is supported primarily by the Environmental Protection Agency, the National Science Foundation, the National Aeronautics and Space Administration, the Department of Energy, and the Department of Defense. Adams received his BS degree in Chemical Engineering, summa cum laude, from Cornell University. He was awarded a Hertz Foundation Applied Science Fellowship for graduate study and received MS and PhD degrees in Chemical Engineering from the California Institute of Technology. He also holds an associated faculty position in the Chemical Engineering department at Carnegie Mellon. Courtesy Appointment: ChemE Education PhD 2001 - California Institute of Technology MS 1998 - California Institute of Technology BS 1996 - Cornell University Research Research Group: EESS Research Center: CAPS , CEDM Areas of Interest Climatic effects of atmospheric particulate matter (aerosols) Global and regional models of atmospheric chemistry Air quality in developing countries Aerosol Effects on Climate Anthropogenic aerosols cool the earth's climate by reflecting sunlight back to space and by serving as nuclei for cloud droplet formation. Their net effect has been to partially offset global warming from greenhouse gases, but uncertainty in the magnitude of this effect has complicated the assessment and forecasting of climate change. Research in this area focuses on improving the representation of aerosols in global climate, chemistry, and transport models by incorporating size-resolved aerosol microphysics and thermodynamics and testing these improved aerosol models against observations from ground networks, intensive field campaigns, and satellites. Other work examines how aerosols influence cloud reflectivity in small-scale, detailed simulations of cloud formation. Regional Air Quality Modeling Regional air quality models are being developed that predict the concentrations of ozone and particulate matter resulting from a given set of emissions. Specific goals in this area of research are to improve the computational efficiency of air quality models such that multi-year time periods can be simulated, better constrain the emissions of ammonia through inverse modeling, and examine the costs and benefits of air pollution controls and future energy policies in developed and developing countries. Publications Heo, J., S. T. McCoy, and P. J. Adams (2015) "Implications of ammonia emissions from post-combustion carbon capture for airborne particulate matter"Environmental Science and Technology,49(8), 5142-5150. Westervelt, D. M., J. R. Pierce, and P. J. Adams (2014) "Analysis of feedbacks between nucleation rate, survival probability and cloud condensation nuclei formation"Atmospheric Chemistry and Physics,14(11), 5577-5597. Jathar, S. H., Farina, S. C., Robinson, A. L., and Adams, P. J. (2011) The influence of semi-volatile and reactive primary emissions on the abundance and properties of global organic aerosol Atmospheric Chemistry and Physics, 11(15): 7727-7746. Chen, W. T., Lee, Y. H., Adams, P. J., Nenes, A., and Seinfeld, J. H. (2010) Will black carbon mitigation dampen aerosol indirect forcing?, Geophys. Res. Lett., 37(L09801): doi:10.1029/2010GL042886. Pierce, J. R., and Adams, P. J. (2009) Can cosmic rays affect cloud condensation nuclei by altering new particle formation rates?, Geophys. Res. Lett., 36. Pierce, J. R., and Adams, P. J. (2009) Uncertainty in global CCN concentrations from uncertain aerosol nucleation and primary emission rates, Atmospheric Chemistry and Physics, 9(4): 1339-1356. Curriculum Vitae OrcID . Recent Awards 2012: Fulbright Scholar; Global Implications of Emerging Organic Aerosol Chemistry, resident at the Institute of Atmospheric Sciences and Climate of the Italian National Research Council (ISAC-CNR) in Bologna, Italy 2010: Visiting Senior Research Scientist; University of Maryland, Baltimore County, and NASA Goddard Space Flight Center 2004: Sheldon K. Frielander Award (Outstanding Dissertation), American Association for Aerosol Research . diff --git a/src/data/compiled_bios/3068.txt b/src/data/compiled_bios/3068.txt new file mode 100644 index 0000000000..5becf6b5dd --- /dev/null +++ b/src/data/compiled_bios/3068.txt @@ -0,0 +1 @@ + Burcu Akinci Paul C. Christiano Professor Civil & Environmental Engineering Bio Research Teaching Professional Activities Paul Christiano Professor Civil & Environmental Engineering Associate Dean for Research College of Engineering Co-Director Smart Infrastructure Institute CONTACT Department of Civil & Environmental Engineering Porter Hall 123K Carnegie Mellon University Pittsburgh, PA 15213-3890 Email: bakinci@cmu.edu Phone: 412 268 2959 Fax: 412 268 7813 Smart Infrastructure Building Information Models Construction & Operations Burcu Akinci 2019 Powered by WordPress Themify WordPress Themes diff --git a/src/data/compiled_bios/3069.txt b/src/data/compiled_bios/3069.txt new file mode 100644 index 0000000000..d40cb69a53 --- /dev/null +++ b/src/data/compiled_bios/3069.txt @@ -0,0 +1 @@ + Toggle navigation Mario Bergs About Projects Teaching Publications Blog Contact I am Mario Bergs. I spend most of my time conducting engineering research at Carnegie Mellon University, in the Civil and Environmental Engineering Department, where I am an Associate Professor. I am interested in making our built environment more operationally efficient and robust through the use of information technologies, so that it can better deal with future resource constraints and a changing environment. In other words, I am interested in providing buildings, and other man-made structures that support our urban environment, with the ability to sense, plan and act autonomously, just as many living organisms do. When I am not busy leading a research lab ( INFERLab ) or teaching , I am either traveling, scouring the Internet for new information or enjoying/creating arts. Feel free to browse through the other sections of this site if you are interested in learning more about myself or my work. Recent News Contact Information e-mail: marioberges@cmu.edu diff --git a/src/data/compiled_bios/307.txt b/src/data/compiled_bios/307.txt new file mode 100644 index 0000000000..1b85eb5bcc --- /dev/null +++ b/src/data/compiled_bios/307.txt @@ -0,0 +1 @@ + Welcome Appointments Professional Teaching Personal Christopher Plaue Im a senior lecturer and the undergraduate coordinator for the School of Computing at Clemson University. Previously, I served as a lecturer and undergraduate coordinator for the Computer Science Department at the University of Georgia , located in Athens, GA. I received my Ph.D. from Georgia Techs School of Interactive Computing and my Bachelors from Bucknell University located in Lewisburg, PA. My advisor at Georgia Tech was John Stasko . My primary courses of instruction include introductory computer science courses, human-computer interaction, computing & ethics, and computing concept courses. For Fall 2015, I will be teaching CPSC 1010/1011 (Computer Science I). Although my position is primarily teaching and advising students, my research interests include human-computer interaction, information management and visualization, and computer science education. Please visit my CV page to see recent publications and professional activities. Welcome email cplaue at clemson.edu phone 864.656.6933 office 106 McAdams Hall diff --git a/src/data/compiled_bios/3070.txt b/src/data/compiled_bios/3070.txt new file mode 100644 index 0000000000..2e23593f3e --- /dev/null +++ b/src/data/compiled_bios/3070.txt @@ -0,0 +1 @@ + Jacobo Bielak, P.E. Hamerschlag University Professor Emeritus, Civil and Environmental Engineering Contact Porter Hall 123H Email 412-268-2958 412-268-7813 Address Civil & Environmental Engineering Carnegie Mellon University Pittsburgh, PA 15213-3890 Bio Jacobo Bielak is the Hamerschlag University Professor Emeritus in the Department of Civil and Environmental Engineering at Carnegie Mellon. His research interests are in earthquake engineering, engineering seismology, and more recently, in structural health monitoring. Bielak was a member of the original Applied Technology Council (ATC) committee that drafted the first seismic provisions for soil-structure interaction in the US, based mainly on his work. These provisions are now, in modified form, part of the National Earthquake Hazards Reduction Program (NEHRP) seismic provisions. He has received the Gordon Bell Prize for Special Accomplishment Based on Innovation. He is a Member of the National Academy of Engineering, a Distinguished Member of ASCE, and a Fellow of the U.S. Association for Computational Mechanics. He is also a Corresponding Member of the Mexican Academy of Sciences and of the Mexican Academy of Engineering. Bielak received his Civil Engineers degree from the National University of Mexico (UNAM), MS from Rice University, and PhD from Caltech. Education PhD 1971 - California Institute of Technology MS 1966 - Rice University BS 1963 - National University of Mexico Research Research Group: MMC Publications Riao, A., Reyes, C.J., Bielak, J., Yamin, L., Restrepo, D., Taborda, R., and Pulido, N. (2018), "3D earthquake ground-motion simulations: The case of Bogot, Columbia," Proceedings of the 11th National Conference in Earthquake Engineering , Earthquake Engineering Research Institute, Los Angeles, CA. Lederman, G.H., Chen, S., Garrett, J.H., Kovaevi, J., Noh, H.Y., and Bielak, J. (2017), "A data fusion approach for track monitoring from multiple in-service trains," Mechanical Systems and Signal Processing , 95, 363-379. https://doi.org/10.1016/j.ymssp.2017.03.023 Veeraraghavan, S., Bielak, J., and Coleman, J. (2017), "Effect of inclined waves on deeply embedded nuclear facilities," Transactions SMiRT-24, Division V, BEXCO, Busan, Korea, August 20-25. Lederman, G.H., Chen, S., Garrett, J.H., Kovaevi, J., Noh, H.Y., and Bielak, J. (2017), "Track monitoring from the dynamic response of a passing train: A sparse approach," Mechanical Systems and Signal Processing, 90, 141-153., http:dx.doi.org/10.1016/j.ymssp.2016.12.009 . Lederman, G.H., Chen, S., Garrett, J.H., Kovaevi, J., Noh, H.Y., and Bielak, J. (2017), Track monitoring from the dynamic response of an operational train, Mechanical Systems and Signal P rocessing, 315. 190-221. http://dx.doi.org/10.1016/j.ymssp.2016.06.041 . Rabinovich, D., Givoli, D., Bielak, J., and Hagstrom, T. (2016), "The Double Absorbing Boundary method for a class of anisotropic elastic media," Comput. Methods Appl. Mech. Engrg., http://dx.doi.org/10.1016/j.cma.2016.10.035 . Restrepo, D., Bielak, J., Gmez, J., Jaramillo, J., and Serrano, R. (2016), Effects of realistic topography on the ground motion of the Colombian AndesA case study of the Aburr Valley, Antioquia, Geophysical Journal International , 204, 1801-1816, doi: 10.1093/gji/ggv556. Isbiliroglu, Y., Taborda, R., and Bielak, J. (2015), Coupled soil-structure interaction effects of building clusters during earthquakes, Earthq. Spectra , 31, 1-38. doi: http://dx.doi.org/10.1193/102412EQS315M Zhang, X., Acharya, A., Walkington, N.J., and Bielak, J. (2015), "A single theory for some quasi-static, supersonic, atomic, and tectonic scale applications of dislocations," Journal of the Mechanics and Physics of Solids, 84, 145-195, doi: http://dx.doi.org/10.1016/j.jmps.2015.07.004 Restrepo, D. and Bielak, J. (2014), Virtual TopographyA fictitious domain approach for analyzing surface irregularities in large-scale earthquake ground motion simulation, Int. J. Num. Meth. Eng. 100, 504-533. doi: 10.1002/nme.4756 . Cerda, F.,Chen, S., Garrett, J.H.,Rizzo, P., and Kovaevi, J. (2014), Indirect structural health monitoring of a simplified laboratory-scale bridge model, Smart Struct. Syst. , 13, 849-868, doi: 10.12989/sss.2014.13.5.849 Taborda, R. and Bielak, J. (2014), Ground-motion simulation and validation of the 2008 Chino Hills, California, earthquake using different velocity models, Bull. Seism. Soc. Am., 104, 18761898, doi: 10.1785/0120130266 Hagstrom, T., Givoli, D., Rabinovich, D., and Bielak, J. (2014), The Double Absorbing Boundary method , J. Comput. Phys. , 259, 220-241. . Areas of Interest Computational mechanics, with special emphasis on structural health monitoring of bridges and on earthquake engineering and engineering seismology. . Recent Awards 2014: named Hamerschlag University Professor 2013: elected as a fellow of the U.S. Association for Computational Mechanics (USACM). 2013: named the Paul Christiano Professor of Civil and Environmental Engineering (Inaugural Holder). 2011: elected as a Distinguished Member of theAmerican Society of CivilEngineers. 2010: elected to the National Academy of Engineering, for advancing knowledge and methods in earthquake engineering and in regional-scale seismic motion simulation. 2009: elected University Professor 2008: won EERI First Annual Graphics Competition - ShakeOut Animation of a numerical simulation of a Mw 7.8 earthquake in southern California 2007: elected to the Mexican Academy of Engineering . diff --git a/src/data/compiled_bios/3071.txt b/src/data/compiled_bios/3071.txt new file mode 100644 index 0000000000..9c3cda29e5 --- /dev/null +++ b/src/data/compiled_bios/3071.txt @@ -0,0 +1 @@ + Sarah J Christian, P.E. Assistant Teaching Professor, Civil and Environmental Engineering Contact Porter Hall 111 Email 412-268-1563 412-268-7813 Address Civil & Environmental Engineering Carnegie Mellon University Pittsburgh, PA 15213-3890 Bio Sarah Christian serves as an Assistant Teaching Professor in the Department of Civil & Environmental Engineering. Sarah earned her BS in Civil Engineering at Carnegie Mellon Univeristy in 2003. She was awarded the National Science Foundation Graduate Fellowship for graduate study and earned her MCE at Johns Hopkins University in 2004 and PhD in Civil and Environmental Engineering with a focus on Structural Engineering and Materials at Stanford University in 2009. Sarah has practiced as a structural engineer and building envelope engineer in Washington, D.C. and Pittsburgh. She has previously served as a part of the teaching faculty at Carnegie Mellon and as a lecturer at the University of Edinburgh. Education PhD 2009 - Stanford University MCE 2004 - Johns Hopkins University BS 2003 - Carnegie Mellon University . Areas of Interest Sustainable buildings and infrastructure Sustainable building materials Design education Rehabilitation and adaptive reuse of historic structures . diff --git a/src/data/compiled_bios/3072.txt b/src/data/compiled_bios/3072.txt new file mode 100644 index 0000000000..43323dd760 --- /dev/null +++ b/src/data/compiled_bios/3072.txt @@ -0,0 +1 @@ + Donald Coffelt, P.E. (E 2008) Associate Vice President for Facilities Management & Campus Services Adjunct Professor, Civil and Environmental Engineering Download Hi-res Photo Contact Email 412 268 3415 Address 5000 Forbes Avenue FMSB Pittsburgh, PA 15213 Bio Donald Coffelt serves as the Associate Vice President for Facilities Management and Campus Services at Carnegie Mellon University. His 350-member team provides facility services, infrastructure management, utility operations and auxiliary services required to support the universitys 150-acre Pittsburgh campus. Reporting to the Vice President for Operations, Coffelt is also responsible for coordinating university-wide sustainability practices. Coffelt holds a concurrent appointment as an Adjunct Professor in Carnegie Mellons top ranked Department of Civil and Environmental Engineering with an expertise in Infrastructure Management. He passionately promotes student and faculty access to university facilities for education and research The University as a Lab". From 1995 to 2003, Coffelt was an executive for a Pittsburgh area facility services and technology firm with nation-wide program management responsibilities. From 1985 through 2013, he served in a variety of leadership assignments across the United States as an officer in the U.S. Coast Guard before completing a 28-year career at the rank of Captain in the U.S. Coast Guard Reserve. In addition to his doctorate from Carnegie Mellon University, Coffelt is a graduate of the United States Coast Guard Academy in New London, CT and the University of Illinois. He is a Fellow of the American Society of Civil Engineers and licensed as a professional engineer in Alaska, and Pennsylvania. His published works include a graduate-level textbook, Fundamentals of Infrastructure Management. Active in community service, Dr. Coffelt also serves several boards including the Andrew Carnegie Society. Education PhD 2008 - Carnegie Mellon University MS 1989 University of Illinois BS 1985 United States Coast Guard Academy Ensign U.S.C.G. 1985 United States Coast Guard Academy Research Research Group: AIS Research Center: CERCA Infrastructure Deterioration Total Cost of Ownership Modeling University as a Lab Data-Driven and Automated Resilience Regional Projection of Climate Change Impacts for Engineering Designs Adaptable Engineered and Natural Infrastructure Understanding Human-Infrastructure Interaction Under Climate Change Publications Coffelt, D., and Hendrickson, C (2017) " Fundamentals of Infrastructure Management ." figshare. Coffelt, D., and Hendrickson, C . (2011) "Case study of occupant costs in roof management." Journal of Architectural Engineering 18.4 : 341-348. Coffelt, D., and Hendrickson, C . (2011) Carnegie Mellon University Facilities as an Educational Laboratory. Proceedings of the Architectural Engineering Institute National Conference . AEI 2011: pp. 36-43. Coffelt, D., and Hendrickson, C. (2010) "Life-cycle costs of commercial roof systems." Journal of Architectural Engineering 16.1 : 29-36. Coffelt, D., Hendrickson,C., and Healey, S. (2009) "Inspection, condition assessment, and management decisions for commercial roof systems." Journal of Architectural Engineering 16.3 : 94-99. Coffelt, C. (2008) Roof management improvement: Improving infrastructure management decision making through a consideration of total life cycle cost and deterioration. ProQuest. Curriculum Vitae Google Scholar OrchID . Professional Service Senior Staff Officer U.S. Coast Guard Marine Safety Unit Pittsburgh. Assistant Deputy Reserve Director Joint Concept Development and Experimentation Branch of the U.S. Joint Service Command Senior Reserve Officer U.S. Coast Guard Sector Ohio Valley U.S. Coast Guard Liaison Officer Pentagon Joint Chiefs of Staff Reserve Command Advisor U.S. Coast Guard Operations Systems Center Director of Programs for Private-sector Facilities Operations Director of Public Works at the U.S. Coast Guard Shipyard Chief Construction, Planning and Environmental for U.S. Coast Guard Alaska Chief of Buoy Tender Operations for the U.S.C.G.C Cowslip. . Recent Awards Carnegie Mellon University 50th Anniversary Founder (2017) Fellow of the American Society of Civil Engineers (2014) Captain (O-6) in the United States Coast Guard Reserve (2012) United States Department of Defense Joint Service Commendation Medal for leadership and research expertise (2011) United States Coast Guard Unit Commendation Ribbon & Alexander Hamilton Award for Team Operational Excellence (2009) United States Coast Guard Commendation Medal for leadership and emergency response (2009) . diff --git a/src/data/compiled_bios/3073.txt b/src/data/compiled_bios/3073.txt new file mode 100644 index 0000000000..e64dab2491 --- /dev/null +++ b/src/data/compiled_bios/3073.txt @@ -0,0 +1 @@ + Jared Cohon President Emeritus and University Professor, Civil and Environmental Engineering & Engineering and Public Policy Contact Scott Hall 5127A Email 412-268-6931 412-268-7813 Address Civil & Environmental Engineering Carnegie Mellon University Pittsburgh, PA 15213-3890 Bio Jared Cohon started his academic career at Johns Hopkins where he rose through the academic ranks and served in administrative positions from 1973 to 1992, when he left for Yale where he was Dean of the School of Forestry and Environmental Studies until 1997. Dr. Cohon served as Carnegie Mellon's eighth president from 1997 to 2013. During that time, the university made progress on many fronts, including teaching and research, international activities, diversity and economic development in southwest Pennsylvania. He has worked on large-scale water problems in Argentina, China, India and the U.S. and on energy facility issues, especially nuclear waste. He serves on several government, non-profit, and corporate boards. In 2014 and 2015, he co-chaired the Commission to Review and Evaluate the National Energy Laboratories. Education PhD 1973 - Massachusetts Institute of Technology MS 1972 - Massachusetts Institute of Technology BS 1969 - University of Pennsylvania Research Research Group: EESS Areas of Interest Water resource systems analysis Environmental and energy systems and policy Multiple criteria decision making Environmental modeling Publications Cohon, J.L. (2003), Multiobjective Programming and Planning, Dover Publications (originally published by Academic Press in 1978) Solanki, R.S., Appino, P.A., and Cohon, J.L. (1993), Approximating the Noninferior Set in Multiobjective Linear Programming Problems, European Journal of Operational Research, 68:356-373. ReVelle, C.S., Cohon, J.L., and Shobrys, D. (1992), Simultaneous Siting and Routing in the Disposal of Hazardous Wastes, Transportation Science, 25:138-145. Palmer, R.N., Smith, J.L., Cohon, J.L., and ReVelle, C.S. (1982), Reservoir Management in the Potomac River Basin, Journal of the Water Resources Planning and Management Division ASCE, 108:47-66. Cohon, J.L. and Marks, D.H. (1973), Multiobjective Screening Models and Water Resource Investment, Water Resource Research, 9:826-836. . Recent Awards 2013: conferred honorary doctorate, Carnegie Mellon University 2013: conferred honorary doctorate, University of Pittsburgh 2013: named University Professor at Carnegie Mellon, the highest academic distinction university faculty members can achieve 2012: elected to the National Academy of Engineering (NAE), one of the highest professional distinctions granted to an engineer 2012: conferred honorary doctorate, Korean Advanced Institute for Science and Technology 2011: receives the National Engineering Award from American Association of Engineering Societies 2009: named Distinguished Member, American Society of Civil Engineering . diff --git a/src/data/compiled_bios/3074.txt b/src/data/compiled_bios/3074.txt new file mode 100644 index 0000000000..0e6d242442 --- /dev/null +++ b/src/data/compiled_bios/3074.txt @@ -0,0 +1 @@ + Kaushik Dayal Research Interests Researchers Publications Untitled Kaushik Dayal Professor Carnegie Mellon University CV (in PDF) Mailing Address 5000 Forbes Avenue Civil and Environmental Engineering Carnegie Mellon University Pittsburgh PA 15213 Office Location 123J Porter Hall Carnegie Mellon University Pittsburgh PA 15213 ( 4900 Frew Street, Pittsburgh, PA 15213 on Google Maps ) Email : Kaushik.Dayal@cmu.edu Report Abuse | Print Page | Powered By Google Sites diff --git a/src/data/compiled_bios/3075.txt b/src/data/compiled_bios/3075.txt new file mode 100644 index 0000000000..511c65343f --- /dev/null +++ b/src/data/compiled_bios/3075.txt @@ -0,0 +1 @@ + David Dzombak, P.E. (E 1980, 1981) Hamerschlag University Professor and Department Head, Civil and Environmental Engineering Contact 119D Email 412-268-2946 412-268-7813 Address Civil & Environmental Engineering Carnegie Mellon University 5000 Forbes Avenue, PH 119D Pittsburgh, PA 15213-3890 Bio David Dzombak is the Hamerschlag University Professor and Head of the Department of Civil and Environmental Engineering at Carnegie Mellon. The emphasis of his research and teaching is on water quality engineering, water resource sustainability, and energy-environment issues. His current research is focused on climate change adaptation for infrastructure, interbasin water transfer in the U.S., recovery of rare earth elements from brines, and sustainable mining of metals. Dzombak serves on the National Academies Water Science and Technology Board, the National Academies Roundtable on Science and Technology for Sustainability, and the National Academies Roundtable on Unconventional Hydrocarbon Development. He is a registered Professional Engineer in Pennsylvania, a Board Certified Environmental Engineer, a Diplomate Water Resources Engineer, and a member of the National Academy of Engineering. ( Full Bio - pdf ) Education PhD 1986 - Massachusetts Institute of Technology MS 1981 - Carnegie Mellon University BS 1980 - Carnegie Mellon University BA 1980 - Saint Vincent College Research Research Group: EESS Research Centers: SEER , Scott Institute , CERCA Aquatic chemistry Fate and transport of chemicals in water, soil, and sediment Water and wastewater treatment Abandoned mine drainage remediation Industrial waste management Climate change adaptation for infrastructure Water resource sustainability Energy and environment Population and environment Public communication of environmental engineering and science Publications Gorman, M.R. and Dzombak, D.A. (2018), A Review of Sustainable Mining and Resource Management: Transitioning from the Life Cycle of the Mine to the Life Cycle of the Mineral, Resources, Conservation & Recycling , 137:281-291. Callura, J.C., Perkins, K.M., Noack, C.W., Washburn, N.R., Dzombak, D.A., and Karamalidis, A.K. (2018), Selective Adsorption of Rare Earth Elements onto Functionalized Silica Particles, Green Chemistry , 20:1515-1565. Dickson, K.E. and Dzombak, D.A. (2017), Inventory of Interbasin Transfers in the United States, Journal of the American Water Resources Association , 53(5): 1121-1135. Ashoori, N., Dzombak, D.A., and Small, M.J. (2017), Identifying Water Price and Population Criteria for Meeting Future Urban Water Demand Targets, Journal of Hydrology , 555: 547-556. Ashoori, N., Dzombak, D.A., and Small, M.J. (2016), Modeling the Effects of Conservation, Demographics, Price and Climate on Urban Water Demand in Los Angeles, California, Water Resources Management , 30:5247-5262. Noack, C.W., Perkins, K., Callura, J., Washburn, N. Dzombak, D.A., and Karamalidis, A.K. (2016), Effects of Ligand Chemistry and Geometry on Rare Earth Element Partitioning from Saline Solutions to Functionalized Adsorbents, ACS Sustainable Chemistry & Engineering , 4(11):6115-6124. Carroll, S., Carey, J.W., Dzombak, D.A., Huerta, N.J., Li, L., Richard, T., Um, W., Walsh, D.C., and Zhang, L. (2016), Review: Role of Chemistry, Mechanics and Transport on Well Integrity in CO 2 Storage Environments, International Journal of Greenhouse Gas Control , 49:149-160. Parthasarathy, H., Liu, H., Dzombak, D.A., and Karamalidis, A.K. (2016), The Effect of Na-Ca-Cl Brines on the Dissolution of Arsenic from Arsenopyrite Under Geologic Storage Conditions, Chemical Geology , 428:1-7. CERCA Research Group Google Scholar OrcID . Professional Service National Academies Water Science and Technology Board (2014-present) EPA Science Advisory Board (2002-2016) Department of Defense Strategic Environmental Research and Development Science Advisory Board (2013-2016) National Academies Roundtable on Unconventional Hydrocarbon Development (2015-present) National Academies Roundtable on Science and Technology for Sustainability (2013-present) Editorial Advisory Board, Sustainable Chemistry & Engineering (2012-2016) Chair, Board of Directors, AEESP Foundation (2012-2014) . Recent Awards 2015: received a Distinguished Service Award from the Association of Environmental Engineering and Science Professors (AEESP) 2014: received the Simon W. Freese Environmental Engineering Award from the American Society of Civil Engineers (ASCE) 2013: received (with collaborators) the Grand Prize in the University Research category of the AAEES Excellence in Environmental Engineering and Science competition, for project on "Use of Treated Municipal Wastewater as Power Plant Cooling System Makeup Water" 2013: named a fellow of Association of Environmental Engineering and Science Professors (AEESP) 2012: named a fellow of theWater Environment Federation(WEF) . diff --git a/src/data/compiled_bios/3076.txt b/src/data/compiled_bios/3076.txt new file mode 100644 index 0000000000..fc0168b760 --- /dev/null +++ b/src/data/compiled_bios/3076.txt @@ -0,0 +1 @@ + Professor Civil and Environmental Engineering , Carnegie Mellon University , Pittsburgh, PA Research Courses Publications Miscellaneous Dr. Finger is on the faculties of Civil & Environmental Engineering and Architecture. She is also affiliated with the Robotics Institute, the Department of Mechanical Engineering, and the Institute for Complex Engineered Systems. She was a founding co-editor in chief of the journal Research in Engineering Design. Her research interests include representation languages for design, integration of design and manufacturing concerns, computer-supported cooperative learning. Affiliations: Institute for Complex Engineered Systems (ICES) Robotics Institute Mechanical Engineering School of Architecture Code Lab Susan.Finger@cmu.edu Porter Hall 123B Phone:(412) 268-8828 Fax:(412) 268-7813 Civil & Environmental Engineering, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA 15213 diff --git a/src/data/compiled_bios/3077.txt b/src/data/compiled_bios/3077.txt new file mode 100644 index 0000000000..7a8d6f5323 --- /dev/null +++ b/src/data/compiled_bios/3077.txt @@ -0,0 +1 @@ + James H. Garrett, Jr., P.E. Dean, College of Engineering Contact 110 Scaife Hall Email 412-268-5090 Address College of Engineering Carnegie Mellon University 5000 Forbes Avenue Pittsburgh, PA 15213 Bio James H. Garrett, Jr. was appointed Dean of the College of Engineering at Carnegie Mellon University in 2013. He also holds the Thomas Lord Professorship of Civil and Environmental Engineering. Prior to becoming Dean, Garrett was Head of Carnegie Mellons Department of Civil and Environmental Engineering from June 2006 to December 2012. Garrett is a licensed professional engineer in Texas. He is a founding co-director of the Smart Infrastructure Institute (formerly the Pennsylvania Smarter Infrastructure Incubator), a research center aimed at creating and evaluating sensing, data analytics and intelligent decision support for improving the construction, management and operation of infrastructure systems. Garrett served as Co-Chief Editor of the ASCE Journal of Computing in Civil Engineering from 2008-2013. Garretts research and teaching interests are oriented toward applications of sensors and sensor systems to civil infrastructure condition assessment; application of data mining and machine learning techniques for infrastructure management problems in civil and environmental engineering; mobile hardware/software systems for field applications; representations and processing strategies to support the usage of engineering codes, standards, and specifications; knowledge-based decision support systems. Garrett has published over 250 journal articles, conference papers, and monograph/book chapters related to his research. Education Ph.D. 1986 - Carnegie Mellon University Research Research Group: AIS Research Center: Sii , CenSCIR , ICES Areas of Interest Applications of sensors and sensor systems to civil infrastructure condition assessment Mobile hardware/software systems for field applications Representations and processing strategies to support the usage of engineering codes, standards, and specifications Knowledge-based decision support systems Publications E. B. Anil, B. Akinci, J. H. Garrett, O. Kurc. 2016 Information Requirements for Earthquake Damage Assessment of Structural Walls , Adv. Eng. Inform. , Vol 30, pp. 54-64. E. B. Anil, B. Akinci, O. Kurc, J. H. Garrett, Jr. 2015. Building-Information-Modeling-Based Earthquake Damage Assessment for Reinforced Concrete Walls , J. Comput. Civ. Eng. S. Taneja, B. Akinci, J. H,. Garrett, Jr., L. Soibelman. 2016. Algorithms for Automated Generation of Navigation Models from Building Information Models to Support Indoor Map-Matching , Autom. Constr. , Vol. 61, pp. 24-41. S. Chen, F. Cerda, P. Rizzo, J. Bielak, J. H. Garrett, Jr. and J. Kovaevi. 2014. Semi-Supervised Multiresolution Classification Using Adaptive Graph Filtering with Application to Indirect Bridge Structural Health Monitoring , IEEE Trans. Signal Process. , 62(11), pp. 2879-2893. Taneja, S., Akinci, B., Garrett, J., Soibelman, L., Jr., and Karimi, H. 2014. " Effects of Positioning Data Quality and Navigation Models on Map-Matching of Indoor Positioning Data. " J. Comput. Civ. Eng. , 04014113. Liu, X., Akinci, B., Bergs, M., and Garrett, J., Jr. 2014. Domain-Specific Querying Formalisms for Retrieving Information about HVAC Systems . J. Comput. Civ. Eng. , 28(1), pp. 4049. Gao, T., Ergan, S., Akinci, B., and Garrett, J. 2014. " Evaluation of Different Features for Matching Point Clouds to Building Information Models ." J. Comput. Civ. Eng. , 04014107. Ying, Y., Garrett Jr., J. H., Oppenheim, I. J., Soibelman, L., Harley, J., Shi, J., and Jin, Y. Towards Data-Driven Structural Health Monitoring: Application of Machine Learning and Signal Processing to Damage Detection, Journal of Computing in Civil Engineering, Special Issue. (Invited) Ying, Y., J. H. Garrett Jr., J. Harley, I. J. Oppenheim, J. Shi, and L. Soibelman (2012) "Damage Detection in Pipes under Changing Environmental Conditions using Embedded Piezoelectric Transducers and Pattern Recognition Techniques," Journal of Pipeline Systems Engineering and Practice, Special Issue for International Conference on Pipelines and Trenchless Technology, doi:10.1061(ASCE)PS.1949-1204.0000106. Taneja, S., Akcamete, A., Akinci, B., Garrett Jr., J.H., Soibelman, L., East, E.W., Analysis of three indoor localization technologies for supporting operations and maintenance field tasks, ASCE Journal of Computing in Civil Engineering. Shahandashti, M.S., Razavi, S.N., Soibelman, L., Berges, M., Caldas, C.H., Brilakis, I., Teizer, J., Haas, C., Garrett Jr., J.H., Akinci, B., Zhu, Z. (2011) Data Fusion Approaches and Applications for Construction Engineering, ASCE Journal of Construction Engineering and Management, 137(10): 863-869. Taneja, S., Akinci, B., Garrett, J.H., Soibelman, L., Berges, M., Atasoy, G., Liu, X., Shahandashti, S.M., Anil, E.B., Ergen, E., Pradhan, A., Tang, P. (2011) Sensing and field data capture for construction and facility operations, ASCE Journal of Construction Engineering and Management, 137(10): 870-881. . Recent Awards 2016 William Metcalf Award, Engineers Society of Western Pennsylvania 2014 Civil Engineer of the Year, American Society of Civil Engineers, Pittsburgh Section 2014 Recognition Award, American Society of Civil Engineers. In recognition of outstanding dedication and leadership as co-editor-in-chief of ASCE Journal of Computing in Civil Engineering 2012 Alexander von Humboldt Research Award 2010 Awarded the Thomas Lord Professorship of Civil and Environmental Engineering, Carnegie Mellon University 2009 Elected to ASCE Fellow Status.Fellows occupy ASCE's second-highest membership grade, and fellow status must be attained by professional accomplishments via application and election by the Membership Application Review Committee. . diff --git a/src/data/compiled_bios/3078.txt b/src/data/compiled_bios/3078.txt new file mode 100644 index 0000000000..f0c130765e --- /dev/null +++ b/src/data/compiled_bios/3078.txt @@ -0,0 +1 @@ + Kelvin Gregory Professor, Civil and Environmental Engineering Contact 123H Porter Hall Email 412-268-9811 412-268-7813 Address Civil & Environmental Engineering Carnegie Mellon University Pittsburgh, PA 15213-3890 Bio Kelvin Gregory is a professor in the Department of Civil and Environmental Engineering .His research interests lie in environmental biotechnology and biogeochemistry with a focus on the fundamental interactions between microorganisms and geochemistry, which influence the fate of environmental pollution.The goal of his research is to provide insight into the underlying science of enhanced engineering solutions for environmental challenges. The research in Gregorys lab is primarily experimental and applications-oriented as they apply to development of environmental technology. Current research projects include microbial ecology of agricultural plant tissues, water and sanitation in developing communities, and produced water from oil and natural gas development and CO 2 sequestration. In conjunction with the Center for Environmental Implications of Nanotechnology (CEINT) at Carnegie Mellon University, Gregorys research group explores the interactions between bacteria and nanoparticles for an enhanced understanding of the fate, transport, and toxicity of nanomaterials. He is the Faculty Advisor for the CMU Chapter of Engineers Without Borders and is interested in sustainable and appropriate water and energy technology for developing communities. Areas of Interest Environmental microbiology and biotechnology Benthic and microbial fuel-cells for remote and decentralized power generation Environmental biogeochemistry, electrode-based remediation of contaminated subsurfaces Bacteriology and microbial ecology of engineered systems Sustainable and appropriate technology in developing communities Education PhD 2002 - The University of Iowa Research Research Group: EESS Publications E McGivney, L Han, A Avellan, J VanBriesen, KB Gregory (2017) Disruption of Autolysis in Bacillus Subtilis Using TiO2 Nanoparticles, Scientific Reports, 7, 44308. JD Moore, A Avellan, CW Noack, Y Guo, GV Lowry, KB Gregory (2017) Time-Dependent Bacterial Transcriptional Response to CuO Nanoparticles Differs from that of Cu2+ and Provides Insights into CuO Nanoparticle Toxicity Mechanisms, Environmental Science: Nano, 4 (12), 2321-2335. ER Dauson, KB Gregory, IJ Oppenheim, KN Dahl (2017) Human Blood Cell Separation Using Bulk Acoustic Waves in a Machined PMMA Microchannel, Ultrasonics Symposium (IUS), 2017 IEEE International, 1-4. K Gregory and AM Mohan (2015) Current Perspective on Produced Water Management Challenges During Hydraulic Fracturing for Oil and Gas Recovery, Environmental Chemistry, 12 (3), 261-266. L Han, KG Karthikeyan, KB Gregory (2015) Energy Consumption and Recovery in Capacitive Deionization Using Nanoporous Activated Carbon Electrodes, Journal of The Electrochemical Society, 162 (12), E282-E288. AM Mohan, KJ Bibby, D Lipus, RW Hammack, KB GregorY (2014) The Functional Potential of Microbial Communities in Hydraulic Fracturing Source Water and Produced Water from Natural Gas Extraction Characterized by Metagenomic Sequencing, PloS one, 9 (10), e107682 Curriculum Vitae [.pdf] Google Scholar OrcID . Recent Awards 2012: awarded 2012 Best Feature Article in Environmental Science & Technology Journal with Greg Lowry. . diff --git a/src/data/compiled_bios/3079.txt b/src/data/compiled_bios/3079.txt new file mode 100644 index 0000000000..2cf68e4a8e --- /dev/null +++ b/src/data/compiled_bios/3079.txt @@ -0,0 +1 @@ + Home CV Textbooks Contact Chris Hendrickson Hamerschlag University Professor of Engineering Emeritus Welcome Chris Hendrickson is the Hamerschlag University Professor of Engineering Emeritus, Director of the Traffic 21 Institute at Carnegie Mellon University, member of the National Academy of Engineering and Editor-in-chief of the ASCE J. of Transportation Engineering. His research, teaching and consulting are in the general area of engineering planning and management, including design for the environment, project management, transportation systems, finance and computer applications. He has co-authored three textbooks available freely on the internet (see Textbooks tab above): Life Cycle Assessment: Quantitative Approaches for Decisions that Matter (2014), Project Management for Construction (Prentice-Hall, 1989, now available on the web) and Civil Systems Planning, Investment and Pricing (2011). He has also published several monographs and numerous papers in the professional and public literature. Prof. Hendrickson is a member of the National Academy of Engineering, the National Academy of Construction, a Distinguished Member of the American Society of Civil Engineering, an Emeritus Member of the Transportation Research Board and a Fellow of the American Association for the Advancement of Science. He has been the recipient of the 2002 ASCE Turner Lecture Award, the 2002 Fenves Systems Research Award, the 1994 Frank M. Masters Transportation Engineering Award, Outstanding Professor of the Year Award of the ASCE Pittsburgh Section (1990), the ASCE Walter L. Huber Civil Engineering Research Award (1989), the Benjamin Richard Teare Teaching Award (1987) and a Rhodes Scholarship (1973). 2019 Powered by Wordpress . Azure Basic Theme by C. A. Brown . diff --git a/src/data/compiled_bios/308.txt b/src/data/compiled_bios/308.txt new file mode 100644 index 0000000000..5070368398 --- /dev/null +++ b/src/data/compiled_bios/308.txt @@ -0,0 +1 @@ + MENU Research Teaching Publications CV Andrew Robb Research Teaching Publications CV About Me I am an assistant professor in the School of Computing at Clemson University . Prior to joining Clemson University, I earned my PhD in the Virtual Experience Research Group at the University of Florida . My research explores how the availability of consumer virtual reality will affect society, and seeks to ensure that this effect will be positive. Specific areas of interest include understanding how user behavior in VR changes as users gain experience with the technology (this research is funded by NSF CHS Small #1717937), how embodying avatars in video games can alter user behavior in the real world, and comparing how people play games in VR to more traditional gaming media. I am also interested in the experience of presence, particularly in developing improved measures of presence so as to better understand how variations in virtual reality technology and design affect the user experience. A third area of research considers perception in virtual reality and the real world (this research is in collaboration with Sabarish Babu and Chris Pagano). Information for Students I am currently recruiting students, particularly students with experience developing virtual reality applications in Unity 3D or Unreal, developing conversational agents, or automated machine translation. If youre interested in understanding how people use virtual reality, and in how virtual reality changes people, please email me and we can set up a meeting. I ask all students interested in working with me to complete a small test project that aligns with our shared research interests to help me gauge your skills and areas of expertise. Office: McAdams Hall 127 Lab: McAdams Hall 120 Email: Phone: 864-656-0791 Office Hours: TBA Copyright 2019 | MH Cicero lite by MH Themes diff --git a/src/data/compiled_bios/3080.txt b/src/data/compiled_bios/3080.txt new file mode 100644 index 0000000000..8099fc7415 --- /dev/null +++ b/src/data/compiled_bios/3080.txt @@ -0,0 +1 @@ + Greg Lowry Walter J. Blenko, Sr. Professor, Civil and Environmental Engineering Contact 123E Porter Hall Email 412-268-2948 412-268-7813 Address Carnegie Mellon University Pittsburgh, PA 15213-3890 Bio Greg Lowry is a Professor of Civil and Environmental Engineering. His area of teaching and research is environmental engineering and water quality with specialization in environmental nanotechnology, geochemistry, contaminant fate, and remediation. He is the Deputy Director of the National Science Foundations Center for Environmental Implications of Nanotechnology (CEINT). CEINT aims to better understand the behavior and effects of engineered nanomaterials in complex environmental systems. Professor Lowry is a member of the National Research Council's committee to develop a research strategy for environmental health and safety aspects of engineered nanomaterials. He currently serves on the advisory board for the Duke Superfund Basic Research Center, NanoRem and NanoEau II (EC projects). Education Ph.D. 2000 - Stanford University M.S. 1995 - University of Wisconsin, Madison B.S. 1992 - University of California, Davis Research Research Group: EESS Research Center: CEINT Areas of Interest Environmental nanotechnology, energy and environment, and environmental remediation. Specific areas of interest include characterizing and modeling biogeochemical transformations of nanoparticles, interactions of nanoparticles with organic macromolecules, nanoparticle reactivity, fate of organic contaminants in CO2 sequestration and hydraulic fracturing environments, developing and testing groundwater and soil remediation technologies. Publications Environmental Nanotechnology Ma, Rui, Levard, Clement, Michel, F.M., Brown, Jr., Gordon, E., Lowry, G.V. (2013) "Sulfidation Mechanism for Zinc Oxide Nanoparticles and the Effect of Sulfidation on Their Solubility," Environ. Sci. Technol., 47(6): 25272534. Louie, S., Tilton, R.D., Lowry, G.V. (2013) "Molar mass distribution of natural organic matter determines gold nanoparticle stability against aggregation," Environ. Sci. Technol., 47(9): 42454254. Lowry, G.V., Gregory, K.B., Apte, S., Lead, J.R. (2012) "Environmental Transformations of Nanomaterials," Environ. Sci. Technol., 46(13): 68936899. Li, Z., Greden, K., Alvarez, P., Gregory, K., Lowry, G.V. (2010) "Adsorbed polymer and NOM limits adhesion and toxicity of nano scale zero-valent iron (NZVI) to E. coli," Environ Sci. Technol., 44(9): 3462-346. Energy & Environment Sun, M., Lowry, G., Gregory, K. (2013) "Selective oxidation of bromide in brines from hydraulic fracturing sites," Water Research, 47(11): 3723-3731. Burant, A., Lowry, G.V., Karamalidis, A. (2013) "Partitioning Behavior of Organic Contaminants in Carbon Sequestration Environments: A Critical Review," Environ. Sci. Technol. 47(1): 3754. Stolaroff, J.K., Keith, D.W., Lowry, G.V. (2008) Carbon dioxide capture from atmospheric air using sodium hydroxide spray, Environ. Sci. Technol. 42(8): 2728-2735. Kutchko, B., Strazisar, B., Dzombak, D., Lowry, G., Thaulow, N. (2007) Degradation of Wellbore Cement by CO2 under Geologic Sequestration Conditions, Environ. Sci. Technol., 41 (13): 4787-4792. Environmental Remediation Kim, H-J., Phenrat, T., Tilton, R.D., Lowry, G.V. (2012) "Clay Fines and pH Affect Aggregation, Deposition and Transport of Zero Valent Iron Nanoparticles in Heterogeneous Porous Media," J. Colloid Interface Sci., 370: 1-10. Phenrat, T., Cihan, A., Kim, H-J., Mital, M., Illangasekare, T., Lowry, G.V. (2010) "Transport and Deposition of Polymer-modified Fe0 Nanoparticles in 2-D Heterogeneous Porous Media: Effects of Particle Concentration, Fe0 Content, and Coatings," Environ. Sci. Technol., 44: 90869093. Saleh, N., Kim, H-J., Matyjaszewski, K., Tilton, R.D., Lowry, G.V. (2008) "Ionic Strength and Composition affect the mobility of surface-modified NZVI in water-saturated sand columns," Environ. Sci. Technol., 42(9): 3349-3355. McDonough, K., Fairey, J., Lowry, G.V. (2008) "Adsorption of polychlorinated biphenyls to activated carbon: equilibrium isotherms and a preliminary assessment of the effect of dissolved organic matter and biofilm loadings," Water Research, 42(3): 575-584. Liu, Y., Phenrat, T., Lowry, G.V. (2007) "Effect of TCE concentration and dissolved groundwater solutes on NZVI-promoted TCE dechlorination and H2 evolution," Environ. Sci. Technol., 41(22): 7881-7887. Google Scholar . diff --git a/src/data/compiled_bios/3081.txt b/src/data/compiled_bios/3081.txt new file mode 100644 index 0000000000..ff4676fc98 --- /dev/null +++ b/src/data/compiled_bios/3081.txt @@ -0,0 +1 @@ + H. Scott Matthews Professor, Civil and Environmental Engineering and Engineering & Public Policy Contact 123A Porter Hall Email 412-268-6218 412-268-7813 Address Civil & Environmental Engineering Carnegie Mellon University Pittsburgh, PA 15213-3890 Bio Scott Matthews is a professor in the Department of Civil and Environmental Engineering and the Department of Engineering and Public Policy at Carnegie Mellon University. Matthewss research and teaching focuses on engineering, economic, and social decision-making under uncertainty via large datasets, computation, and visualization methods. His main current interests are in the use of connected vehicle technologies to provide high-resolution data on vehicle performance and use to improve mobility. Examples of particular topics of interest include using such data to improve vehicle safety and emissions inspections and to implement mileage-based vehicle fees. Previously, Matthews contributed to development of tools for environmental and energy life cycle assessment (LCA) of products and processes (such as the EIO-LCA model), estimating and tracking environmental effects across global supply chains (such as carbon footprinting), and the sustainability of infrastructure systems. Matthews has served as chair of the Committee on Sustainable Systems and Technology with the Institute of Electrical and Electronic Engineers and on the Executive Committee for the American Center for Life Cycle Assessment. He participated in the National Research Council study on the Hidden Costs of Energy and was a member of the NRC Board on Environmental Studies and Toxicology. He is currently involved in ASCE and TRB committees related to data and connected vehicles. At Carnegie Mellon, he has taught graduate and undergraduate courses in the Departments of Economics, Civil and Environmental Engineering, Engineering and Public Policy, and Computer Science. Education PhD 1999 - Carnegie Mellon University MS 1996 - Carnegie Mellon University BS 1992 - Carnegie Mellon University Research Research Group: AIS Research Center: Sii , CERCA , Mobility Data Analytics Center (MAC) Use of connected vehicle communications and infrastructure to improve mobility Supporting the transition from fuel taxes to mileage-based fees for transportation funding Innovations in vehicle safety and emissions inspections via data analytics and connected vehicles Sustainable, life cycle management of infrastructure Data analytics in transportation Applying Connected Vehicle Technology to Solve Social Problems Most discussions of connected vehicle (CV) technologies discuss interactions such as vehicle to vehicle or vehicle to infrastructure, for example to coordinate mobility or traffic flow. However wide-scale adoption of those technologies is still many years away even in the developed world, even though the majority of vehicles sold in the past 5-10 years already have various CV technologies built-in. I am interested in leveraging CV technology to help solve problems with high social benefit in the short term. Such applications would scavenge from CV data sources, such as the routes driven at the trip level, or pertaining to vehicle performance. The Transition to Mileage-Based Fees For the past 90 years, the main mechanism for providing funding for ground transportation has come from federal and state fuel taxes. The federal taxes have not been increased since 1993, and factors such as inflation, improved fuel efficiency, and electric vehicles, construction and maintenance budgets have less resources available in todays dollars. An often-proposed solution is to transition from taxes based on fuel use to fees based on miles driven. The CV era provides the technology to pursue such strategies because data flows are available to document miles driven by vehicle. This data could be shared with agencies or third parties to create mechanisms to pay for transportation, and overcome the social challenges of vehicles not paying their fair share of providing transportation. I am interested in the engineering, economic, and social aspects of this transition. Data Analytics for Improved Passenger Vehicle Safety In many regions, vehicles are periodically inspected to ensure they are safe to be on the road. These programs physically assess components such as brakes, tires, and lights (not ABS or air bag systems). We have been collecting data from various regions over time that document the results of these inspection activities, have created large data analytics models, and have published estimates of failure rates in Pennsylvania. We are also interested in comparing the performance of centralized versus decentralized inspection programs, as the failure rates are different. We have also begun to perform more detailed data analytics of the inspection data, such as to consider whether the inspection thresholds should be changed given demands for safety. For example, we have created data models and data analytics algorithms to track tire tread depth and mileage from consecutive vehicle inspection records to estimate tread deterioration and discuss whether the inspection thresholds for tire tread depth. Reporting of Vehicle On-Board Diagnostic (OBD) Parameter for Improved Mobility and Emissions Most developed countries across the world have programs requiring passenger vehicles to undergo a periodic inspection to identify and remedy vehicles with relatively high air pollution emissions; however, the failure rate in most jurisdictions is only 5-10%. Increasingly, these inspections are based solely on data from the vehicles on-board diagnostics (OBD-II) systems, as opposed to a directly measured tailpipe emissions test. If jurisdictions could leverage connected vehicle infrastructure to monitor and assess vehicles OBD systems and use these data to reliably identify vehicles with a high likelihood of failing an inspection, we envision a system where jurisdictions can monitor all vehicles' OBD data, and select only those vehicles with a high likelihood of failure, to be subjected to some additional testing. This would dramatically reduce cost and inconvenience for drivers and jurisdictions. It would also provide a fast IT-based path for developing and emerging economies to follow in lieu of creating physical systems. For this vision to be viable, the remote monitoring would have to correctly identify high-emitters, i.e., we would need to develop and test machine learning models using only OBD-based data (which can already be collected remotely through CV technology), to dependably identify high-emitting vehicles Publications Giordano, A., Fischbeck, P., and Matthews, H. S.,. (2017). Environmental and Economic Comparison of Diesel and Battery Electric Delivery Vans to Inform City Logistics Fleet Replacement Strategies , Transportation Research Part D, DOI: https://doi.org/10.1016/j.trd.2017.10.003 . Seki, S. M., Griffin, W. M., Hendrickson, C, and Matthews, H. M. (2017). "Refueling and infrastructure costs of expanding access to E85 in Pennsylvania" , ASCE Journal of Infrastructure Systems, Vol. 24, No. 1, 2018. DOI: https://doi.org/10.1061/(ASCE)IS.1943-555X.0000408. Peck, D., Matthews, H. S., Hendrickson, C., and Fischbeck, P. (2015). "An Analysis of Vehicle Safety Inspection Data in Pennsylvania: Expected Failure Rates" , Transportation Research Part A, 78: 252265. DiPietro, G., Hendrickson, C. T., and Matthews, H. S.. (2014). " Estimating Economic and Resilience Consequences of Potential Navigation Infrastructure Failures: A Case Study of the Monongahela River ", Transportation Research Part A, 2014, pp. 142-164. DOI:10.1016/j.tra.2014.08.009. Nealer, R., Matthews, H. S., and Hendrickson, C.. (2012). Assessing the Energy and Greenhouse Gas Emissions Mitigation Effectiveness of Potential US Modal Freight Policies , Transportation Research Part A: Policy and Practice, Volume 46, Issue 3, March 2012, Pages 588601, DOI: 10.1016/j.tra.2011.11.010. Google Scholar OrcID Engineering and Public Policy Curriculum Vitae [.pdf] . Recent Awards 2008: won Best Policy Paper for " Food Miles and the Relative Climate Impacts of Food Choices in the United States " by Environmental Science & Technology (ES&T) 2007: awarded the Laudise Prize for significant contributions to the community by a young researcher by the Inernational Society of Industrial Ecology (ISIE) . diff --git a/src/data/compiled_bios/3082.txt b/src/data/compiled_bios/3082.txt new file mode 100644 index 0000000000..322b7b8bc8 --- /dev/null +++ b/src/data/compiled_bios/3082.txt @@ -0,0 +1 @@ + Meagan S. Mauter Associate Professor, Civil and Environmental Engineering and Engineering & Public Policy Contact 5111 Scott Hall Email 412-268-5688 Address Civil & Environmental Engineering Carnegie Mellon University Pittsburgh, PA 15213-3890 Bio Professor Meagan Mauter holds bachelors degrees in Civil & Environmental Engineering and History from Rice University, a Masters of Environmental Engineering from Rice University, and a PhD in Chemical and Environmental Engineering from Yale University.She completed post-doctoral training in the Belfer Center for Science and International Affairs and the Mossavar Rahmani Center for Business and Government at the Harvard Kennedy School of Government, where she was an Energy Technology Innovation Policy Fellow. At Carnegie Mellon University, Professor Mauter runs the Water and Energy Efficiency for the Environment (WE 3 Lab) and is jointly appointed in Civil & Environmental Engineering and Engineering & Public Policy. She also holds courtesy appointments in Chemical Engineering and Materials Science & Engineering. Her present research seeks novel approaches to sustainably meet water supply in an energy constrained world by re-thinking the policies surrounding water treatment, re-defining the inputs to the treatment process, and re-envisioning the membranes in membrane-based water treatment processes. Education 2012-2013:Visiting Scholar, Energy Technology Innovation Policy Research Group, Science Technology and Public Policy Program, Belfer Center for Science and International Affairs, Kennedy School of Government, Harvard University. 2011 2012: Research Fellow, Energy Technology Innovation Policy Research Group, Science Technology and Public Policy Program, Belfer Center for Science and International Affairs / Mossavar Rahmani Center for Business and Government, Kennedy School of Government, Harvard University. 2008: M.Phil - Yale University 2006: BA; BS; MEE - Rice University Research Research Group: EESS Research Activity in the Water and Energy Efficiency for the Environment Lab Professor Mauter's research group, the Water and Energy Efficiency for the Environment (WE 3 ) lab , works to enable energy efficient water treatment technologies by addressing the technical and structural barriers to their implementation.Recent work has focused on the development of membranes with improved mass transfer and fouling resistance, desalination technologies that leverage low temperature heat as an energy input, and processes for treating alternative feed streams, including high salinity oil and gas produced water and low salinity brackish water. Publications Mauter, M.S.; Zucker, I.; Perreault, F; Werber, J.R.; Kim, J.H.; Elimelech, M.* (2018). " The Role of Nanotechnology in Tackling Global Water Challenges ." Nature Sustainability, 1 (4), 166-175. Gingerich, D.B.; Mauter, M.S.*, (2018). " Air Emission Reduction Benefits of Biogas Electricity Generation at Municipal Wastewater Treatment Plants ." Environmental Science & Technology, 52 (3), 1633-1643. Babaei, M.; Jones, I.C.; Dayal, K. Mauter, M.S.* (2017). " Computing the Diamagnetic Susceptibility and Diamagnetic Anisotropy of Membrane Proteins from Structural Subunits ." Journal of Chemical Theory and Computation, 3 (6), 29452953. Shanbhag, S.; Bootwala, Y.; Whitacre, J.; Mauter, M.S.* (2017). " Ion Transport and Competition Effects on Selective Insertion Electrode Performance ." Langmuir, 33 (44), 1258012591. Welle P.D.; Mauter, M.S.* (2017). " High Resolution Model for Estimating Economic and Policy Implications of Agricultural Soil Salinization in California ." Environmental Research Letters, 12 (9), 094010. Gingerich, D.B.; Mauter, M.S.* (2017). " Air Emissions Damages from Municipal Drinking Water Treatment Under Current and Proposed Regulatory Standards ." Environmental Science & Technology, 51 (18), 10299-10306. Leitch, M.; Lowry, G.; Mauter, M.S.* (2017). " Characterizing Convective Heat Transfer Coefficients in Membrane Distillation Cassettes ." Journal of Membrane Science, 538, 108-121. Bartholomew, T.V.; Mey, L.; Arena, J.T.; Siefert, N.S.; Mauter, M.S.* (2017). " Osmotically Assisted Reverse Osmosis for High Salinity Brine Treatment ." Desalination, 421, 3-11. Water & Energy Efficiency for the Environment Google Scholar (Publications) Engineering & Public Policy . Recent Awards George Tallman Ladd Research Award, 2016 NSF CAREER Award, 2016 Denise Denton Emerging Leaders Workshop Participant, 2016 NAMS Young Membrane Scientist Award, 2015 Wimmer Faculty Teaching Fellow, 2013 NSF Science Engineering and Education for Sustainability Fellow, 2012-2015 National Academy of Engineering, Frontiers of Engineering Symposium Participant, 2012 AWWA Academic Achievement Award 2012 AWWA Abel Wolman Fellowship, 2009-2011 NSF Graduate Research Fellowship, 2006-2009 US EPA STAR Fellowship, 2006-2009 . diff --git a/src/data/compiled_bios/3083.txt b/src/data/compiled_bios/3083.txt new file mode 100644 index 0000000000..1d2d480dde --- /dev/null +++ b/src/data/compiled_bios/3083.txt @@ -0,0 +1 @@ + Hae Young Noh Log in Home Research Publications Teaching Professional Activities People Search Welcome Hae Young Noh is an Associate Professor in the Department of Civil and Environmental Engineering with a courtesy appointment in the Electrical and Computer Engineering at Carnegie Mellon University. Noh's research interests focusonindirect sensing to infer information about dynamic structural systems using statistical signal processing and machine learning techniques, particularly algorithm development for smart structures and systems to conserve energy and resources, provide safe, functional, and sustainable environments, and improve occupants quality of life. Currently, herresearch projects include human and environment sensing through building vibration andvehicle-based infrastructure monitoring. EDUCATION Stanford University PhD in Civil & Environmental Engineering, Structural Engineering and Geomechanics,2011 MS in Electrical Engineering, Information Systems Laboratory,2011 MS in Civil & Environmental Engineering, Structural Engineering and Geomechanics,2008 Cornell University BS in Mechanical & Aerospace Engineering,2005 Contact Hae Young Noh Civil & Environmental Engineering Carnegie Mellon University 5000 Forbes Avenue Pittsburgh, PA 15213-3890 Office: Porter Hall 123F Phone: 412-268-5253 Fax: 412-268-7813 Email: noh@cmu.edu News Apr. 15, 2018 CEE researchers geophonic sensors could help prevent falls, The Tartan. Aug. 16, 2017 Young Investigators in Dynamic Systems and Controls, ASME DSCD Newsletter. Apr. 3, 2017 Vibration sensors used to collect structural information, The Tartan. Feb, 2017 Good Vibrations: Nohs Work Could Help Improve Elder Care, Carnegie Mellon University Homepage Stories. Dec 7, 2016 How the US Postal Service could enable smart cities, ZDNet. Sep, 2016 Sensing Business Potential in Health Care and Beyond, Carnegie Mellon CEE Magazine. Jun 10, 2016 Achieving the Right Temperature: Diagnosing Faults and Monitoring Efficiency of HVAC Systems, Carnegie Mellon CEE News. Apr 18, 2016 Sensors could help prevent falls, McKnights Senior Living. Apr 13, 2016 Families Crave Better Fall Prevention in Assisted Living, Senior Housing News. Mar 26, 2016 , . Mar 21, 2016 Carnegie Mellon University Survey Finds 81% of Americans are Seeking Technology Solutions to Combat their Worry about Falls Among Elderly Adults, Reuters. Mar 21, 2016 Carnegie Mellon University Survey Finds 81% of Americans are Seeking Technology Solutions to Combat their Worry about Falls Among Elderly Adults, The Business Journal. Mar 21, 2016 Survey: 4 in 5 want technology to prevent falls in elderly, MedCity News. Jan 21, 2016 Sensing the Physical Environment: Preventing Falls in the Elderly, Carnegie Mellon College of Engineering Video. Oct, 2015 Women of CEE, Carnegie Mellon CEE Magazine. Sep 24, 2015 Testing the Tracks: Researchers Use Vibrations to Spot Weaknesses in Train Rails, Carnegie Mellon CEE News. Apr 9, 2015 Hae Young Noh: Using Structures as Sensors, Carnegie Mellon College of Engineering Video. Feb 2, 2015 Researchers Turn Structures Into Self-Aware Monitoring Devices, Engineering News-Records (ENR). Oct 8, 2014 Good Vibrations: Hae Young Noh Studies Structure-as-Sensor at CMU-SV, Carnegie Mellon College of Engineering Feature Stories. Jul 8, 2014 Hae Young Noh: Structure as a Sensor, Carnegie Mellon CEE News. Spring 2014 Hae Young Noh: Structure as a Sensor, Carnegie Mellon ICES iNews Magazine. Mar 25, 2014 Vibration Analysis: The Wave of the Future, Carnegie Mellon CEE News. Mar 2014 Waves of the Future, Carnegie Mellon University Homepage Stories. About Annotum diff --git a/src/data/compiled_bios/3084.txt b/src/data/compiled_bios/3084.txt new file mode 100644 index 0000000000..1194e3b457 --- /dev/null +++ b/src/data/compiled_bios/3084.txt @@ -0,0 +1 @@ + Home Selected Publications Irving Oppenheim, P.E. Professor of Civil and Environmental Engineering; Professor of Architecture Research Interests Structural mechanics, building design, robotics, and infrastructure sensing. Educational Background B.E. 1968, The Cooper Union M.S. 1970, Lehigh University Ph.D. 1972, Cambridge University Research Activities My research activities over the years started with earthquake response of structures, the economic losses associated with the performance of water and transportation systems following earthquakes, and earthquake-induced fire losses. I then studied the synthesis of structural systems in architecture, the behavior of historical masonry structures (vaults, arches, and domes), and tensegrity structures. In the field of robotics I directed research on path planning, geometric reasoning, force-cognitive excavation, tools to find energy-optimal manipulator paths, control of manipulators with flexible links, and dynamically stable (balancing) robots. I also directed work that used spatial grammars in processing spatial constraints in robot task planning applied to coal mining, and rule-based programming applied in simulation and planning for robotized building construction. Most recently I have been working on devices for civil infrastructure sensing, including MEMS ultrasonic phased arrays, MEMS transducers for acoustic emission testing, inductively-coupled wireless transducers, a microsensor to measure chloride concentration, surface acoustic wave (SAW) devices for wireless chemical sensing, SAW devices for wireless strain sensing, SAW and bulk wave devices (combined with microfluidics) to separate microparticles and cells, and ultrasonic monitoring of piping systems under field conditions of operating and environmental variations. Contact Irving Oppenheim Email: ijo@cmu.edu Phone: 412-268-2950 diff --git a/src/data/compiled_bios/3085.txt b/src/data/compiled_bios/3085.txt new file mode 100644 index 0000000000..5de1df8b53 --- /dev/null +++ b/src/data/compiled_bios/3085.txt @@ -0,0 +1 @@ + Matteo Pozzi Associate Professor, Civil and Environmental Engineering, Carnegie Mellon University Menu Home Research PROJECTS Infrastructure Management under Model Uncertainty Financial and physical infrastructure: integrated network resilience analysis under extreme events Long-term infrastructure planning under uncertainty SHADE Surface heat assessment for developed environments Hazard modeling of induced seismicity Structural monitoring of the Scott Hall building in the CMU campus PAST PROJECTS Optimal planning and learning for the management of wind farms Value of information analysis for optimal sensing in infrastructure systems Response spectrum analysis for floor acceleration Bayesian Inference for Dynamic Systems under Model Uncertainty Students Teaching Professional Activities Publications Outreach Search for: Home NEWS: Sep. 2017: Junho Song is visiting CMU for a 1-year sabbatical! Ago. 2017: NSF grants awarded from ENG-CMMI-IMEE and GEO-ICER-PREEVENTS Jun. 2017: Special issue on KSCE Journal of Civ. Eng. Mar. 2017: NSF CAREERProposal awarded Feb. 2017: Pozzi, Sinopoli and Minca investigate financial and physical risk Feb. 2017: Pozzi and Sinopoli got Siebel Energy Inst. 2017 Research Grants older NEWS Nov. 2016: Mobile Laboratory to Track Methane Leaks in Pittsburgh [Yasamin] Oct. 2016: NSF CRISP Proposal awarded Oct. 2016: Man-Made Changes in Earthquake Activity , and Increase in Oklahomas Earthquakes [Pengyun] Sept. 2016: Carl Malings Named Dowd Fellow June 2016: Diagnosing Faults and Monitoring Efficiency of HVAC Systems [Irem] June 2016: Chelsea Kolb Awarded Fulbright May 2016: International Structural Group Meets at CMU Dec. 2015: Milad Memarzadehpresents his research in a video May 2015: Assessment Process Improves Wind Turbine Maintenance Dec. 2014: MP Awarded CMU Berkman Faculty Development Grant Oct. 2014: Chelsea K olb Awarded CEE Alumni Fellowship Sept. 2014: Irem Velibeyoglu Awarded Dr. Elio DAppolonia Graduate Fellowship I aman Associate Professor in the Department of Civil and Environmental Engineering at Carnegie Mellon University . Myresearch focuses on probabilistic risk analysis and decision optimization, applied to civil infrastructures. Integrating fiber optic sensors and using wireless sensors to measure strain and vibrations Ilook at methods to reliably mitigate risks and extend systems life-spans in civil systems. The analysis of this data and integrated reliability assessment tools can help stakeholders in their decision making processes towards a more sustainable use of resources. Mygroup is focused on probabilistic models for seismic vulnerability, deterioration, optimal planning for mitigation of extreme events, maintenance and inspection scheduling. Using a computational approach, based on probabilistic graphical models, myresearch allows for integrated modeling of large heterogeneous systems through extensive use of simulations and analytical approximations. Igot a PhD in Structural Engineering from the University of Trento (Italy) and a post-doctoral research position at UC Berkeley . Students with strong background in engineering and statistics, computation and/or signal processing, interested in a PhD position, shouldread this post . PROFILES: Google Scholar Research Gate Orcid Department page Scott Institute page Videofor the College of Engineering Lecture for COST Action TU1402 Curriculum Vitae Address: 5000 Forbes Ave., 107b Porter Hall, Pittsburgh, PA 15213-3890 Phone: +1-412-268-5649 Fax: +1-412-268-7813 Email: 'mpozzi'AT'cmu.edu' Proudly powered by WordPress Theme: Suits by Theme Weaver diff --git a/src/data/compiled_bios/3086.txt b/src/data/compiled_bios/3086.txt new file mode 100644 index 0000000000..2676f7daa0 --- /dev/null +++ b/src/data/compiled_bios/3086.txt @@ -0,0 +1 @@ + Sean Qian Assistant Professor, Civil and Environmental Engineering, Carnegie Mellon University Menu Home Education Research Publications Professional Activities Teaching Search for: Home My name is Zhen Qian, reads [zen, tsian], and you can also call me Sean. I am an Assistant Professor jointly appointed at the Department of Civil and Environmental Engineering (major) and Heinz College (minor) at Carnegie Mellon University. I also direct the Mobility Data Analytics Center (MAC) . My research interests lie in the integration and optimization of civil infrastructure systems. The primary focus is to manage an aging and overcrowded infrastructure and urban complex systems, and to build a sustainable and resilient infrastructure network. I have been developing optimization and statistical models of infrastructure networks by applying theories of network flow and economics. Idid my post-doctoral researchat the Department of Civil and Environmental Engineering, Stanford University . Ireceived my PhD degree in Civil Engineering and Institute of Transportation Studies at UC Davis, andmy Bachelor's and Master's degrees in Civil Engineering with the focus on Transportation from Tsinghua University, Beijing . I am always open to working with highly motivated students who have strong quantitative background. Please send me an email if you are interested in the intersection of cyber, infrastructure and social systems, and you are enthusiastic about programming and mathematical modeling. Currently, I am looking for both undergraduate and doctoral Research Assistants entering in Fall 2019. A post-doctoral researcher position is also available. My research interests include: Infrastructure management Dynamic network modeling (routing, simulation and optimization) Intelligent transportation system (ITS) Data mining Infrastructure resilience Urban systems interdependency Multi-modal transportation Parking management Transportation economics Traffic operations Contact information Porter Hall 123C Carnegie Mellon University 5000 Forbes Ave., Pittsburgh, PA, 15213 Email: seanqian AT cmu DOT edu Proudly powered by WordPress Theme: muits by Theme Weaver diff --git a/src/data/compiled_bios/3087.txt b/src/data/compiled_bios/3087.txt new file mode 100644 index 0000000000..41360ed436 --- /dev/null +++ b/src/data/compiled_bios/3087.txt @@ -0,0 +1 @@ + Home Research Climate Change Adaptation Future of Transportation Automation and Energy Future of the Electricity System Energy, Climate, & National Security People Professor Costa Samaras Students Publications & Media Journal Papers Peer-Reviewed RAND Reports National Academies Reports, Book Chapters, and Other Contributions Media Contributions Videos Teaching Apply Contact Costa Samaras Home Research Climate Change Adaptation Future of Transportation Automation and Energy Future of the Electricity System Energy, Climate, & National Security People Professor Costa Samaras Students Publications & Media Journal Papers Peer-Reviewed RAND Reports National Academies Reports, Book Chapters, and Other Contributions Media Contributions Videos Teaching Apply Contact Energy, Climate, Automation, and Resilience Costa Samaras is an Associate Professor at Carnegie Mellon University and an Adjunct Senior Researcher at the RAND Corporation, informing decisions about resilience, autonomous vehicles, and the future of energy systems. He is the Director of the Center for Engineering and Resilience for Climate Adaptation , and the Co-Director of the Power Sector Carbon Index . Our Research Thrusts Find out about our current research areas in climate change adaptation, autonomous and electric transportation, energy security, and the transition to a low-carbon energy system. Learn More Come Work With Us Our group trains students with interdisciplinary methods to be leading energy, resiliency, and autonomous systems scholars, practitioners, and decisionmakers. Find Out More Latest News Prof. Samaras wrote an Op-Ed in The Washington Post on electric vehicles, as part of a series of policy ideas to address climate change Prof. Samaras gave commentary in The Washington Post about Waymos driverless taxi service Prof. Samaras was a contributor to the 4th National Climate Assessment and gave commentary about climate resilience to The New York Times. Ph.D. student DeVynne Farquharson, Prof. Jaramillo, and Prof. Samaras publish paper in Nature Sustainability on electricity reliability in Sub-Saharan Africa, and write a blog post to summarize the results. Ph.D. graduate Corey Harper, Prof. Hendrickson, and Prof. Samaras publish a paper in the Journal of Urban Planning and Development on driverless cars and parking. Ph.D. student Tania Lopez-Cantu and Prof. Samaras publish paper in Environmental Research Letters on stormwater under climate change, and write an Op-Ed to summarize the results Prof. Samaras was a guest on The Energy Transition Show Ph.D. student Greg Schivley, Prof. Azevedo, and Prof. Samaras publish paper in Environmental Research Letters assessing the evolution of the U.S. power sector Ph.D. student Allant Whitmore gives talk on automated vehicle ethics at CMU's Ethics & AI Conference Prof. Samaras & colleagues publish a paper in Nature Communications on energy & environmental implications of drone package delivery. Ph.D. student Tania Lopez-Cantu was named a UCAR Next Generation Fellow Featured Video Prof. Samaras was a panelist discussing the future of infrastructure at a forum at The Washington Post. More videos Tweets Super stoked for the guest lineup on the Sunday shows this week: Dude whos always wrong Panel of reverse exper https://t.co/umNUaJKzVo 2 hours ago Great night of awards at the @ ASCEPgh dinner. Congrats to all, including @ CMU_CEE students and alums. https://t.co/7EzQjOpwx5 2 hours ago Its not dark yet, but its getting there. https://t.co/a5rMWl6OKX A day ago Anything I achieve is enabled by the students, staff, & faculty that I work with, & I am extremely grateful to have https://t.co/1jDLrJZOPn A day ago Annapolis. Hmm Annapolis. Besides being the state capital, isnt there something else there thats in our interest https://t.co/epOhquWip8 A day ago Overflow crowd at @ CMU_CEE to hear Prof. @ kellytsanders speak about the energy & water nexus. Demonstrates how exci https://t.co/Nyan6Y5NLw 2 days ago Heres our report on how the Military Construction (MILCON) process works and how projects are selected. Projects a https://t.co/xrYG2fafwi 2 days ago Constantine Samaras 2014- Carnegie Mellon University Civil and Environmental Engineering 5000 Forbes Avenue, Pittsburgh, PA 15123 +1.412.268.1658 // csamaras@cmu.edu Back to Top diff --git a/src/data/compiled_bios/3088.txt b/src/data/compiled_bios/3088.txt new file mode 100644 index 0000000000..2cfc947c4d --- /dev/null +++ b/src/data/compiled_bios/3088.txt @@ -0,0 +1 @@ + Mitchell Small H. John Heinz III Professor of Environmental Engineering at Carnegie Mellon University Main menu Skip to content Biography Recent Professional Activities Awards and Fellowships Publications Recent Journal Articles Other Papers, Reports, and Conference Proceedings Conference Proceedings and Book Chapters Books Mitchell J. Small, H. John Heinz III Professor Civil & Environmental Engineering/Engineering & Public Policy Carnegie Mellon University Research Interests Mathematical modeling of environmental quality; statistical methods and uncertainty analysis; human exposure modeling; human risk perception and decision making; integrated assessment models for human-environmental systems; ground water and soil pollution monitoring, site remediation, drinking water regulation and risk communication. Recent applications include design and analysis of leak detection monitoring systems at geologic CO 2 capture and storage sites, and decision support for protecting coral reefs. Contact Information Carnegie Mellon University Civil and Environmental Engineering Porter Hall 119 Pittsburgh, PA 15213 (412) 268-8782 ms35@andrew.cmu.edu Powered by WordPress | Theme: Asokay by Andreas Viklund diff --git a/src/data/compiled_bios/3089.txt b/src/data/compiled_bios/3089.txt new file mode 100644 index 0000000000..30aa6f3a42 --- /dev/null +++ b/src/data/compiled_bios/3089.txt @@ -0,0 +1 @@ + James M. Thompson, P.E. Assistant Teaching Professor, Civil and Environmental Engineering Contact Porter Hall 113 Email 412-268-2077 412-268-7813 Address Civil & Environmental Engineering Carnegie Mellon University Pittsburgh, PA 15213-3890 Bio Jim Thompson is an Assistant Teaching Professor in the Civil and Environmental Engineering Department at Carnegie Mellon University. He teaches primarily undergraduate courses, from the first year Introduction to Civil and Environmental Engineering course to the senior capstone Civil and Environmental Engineering Design course. Thompson's experience and expertise is in structural engineering, and primarily focused on buildings. He has worked as a structural engineer in Baltimore and Pittsburgh, and worked on projects ranging from residential construction to Westinghouses AP1000 nuclear power plant. Thompson spent four years in the Navys Civil Engineer Corps after graduating with a Bachelors in Mechanical Engineering from Villanova University. While in the Navy, he spent 15 months on Adak in the Aleutian Islands as a Public Works Officer, and two years in Jacksonville, Florida as the Officer in Charge of Construction Battalion Unit 420. When he is not doing engineering, Thompson sings in a barbershop chorus and quartet. Education BS 1985 - Villanova University MS 1992 - Johns Hopkins University PhD 2004 - Lehigh University Research Structural design in steel, concrete, wood and masonry. Interaction between design and construction. . diff --git a/src/data/compiled_bios/309.txt b/src/data/compiled_bios/309.txt new file mode 100644 index 0000000000..742c18dfc9 --- /dev/null +++ b/src/data/compiled_bios/309.txt @@ -0,0 +1 @@ + Ilya Safro School of Computing Clemson University Home Publications Software Data Teaching ACS Lab Contact Recent papers "Relaxation-Based Coarsening for Multilevel Hypergraph Partitioning", SIAM Multiscale Modeling and Simulations, download "Large-Scale Validation of Hypothesis Generation Systems via Candidate Ranking", IEEE BIGDATA, 2018, download Watch our video! "Are Abstracts Enough for Hypothesis Generation?", IEEE BIGDATA, 2018, download "Network Community Detection On Small Quantum Computers", download Recent funding 01/2018 Clemson TIGER grant awarded Transforming Science with Automated Generation of Scientific Hypotheses 08/2017 NSF grant awarded Multiscale Methods for Generating Infrastructure Networks 06/2017 ACM SIGKDD 2017 Travel Award 09/2016 NSF grant awarded Data-driven Real-time Simulation for Adaptive Control of Interdependent Infrastructure Systems 07/2016 NSF grant awarded Feedback-based Network Optimization for Smart Cities BMW grant awarded Toward autonomous business decisions: Machine Learning Techniques for Autonomy Patent filed A. Gutfraind, I. Safro "System and method for synthesizing artificial networks", CURF Tech No. 2015-058 Current Openings areas: network science, graph algorithms, combinatorial scientific computing, large-scale optimization We are looking for a graduate student ..... Read more Recent Software MOLIERE: Automatic Biomedical Hypothesis Generation System download I received my Ph.D. from the Weizmann Institute of Science (Israel) under supervision of Achi Brandt and Dorit Ron , in 2008. In Fall 2012, I joined the School of Computing at Clemson University. I am also a Faculty Scholar of the Clemson University School of Health Research . Before that I was at Argonne National Laboratory . My undegraduate school is Ben-Gurion University of the Negev . I am actively looking for highly motivated students to work with (both undergraduate and graduate). You are always welcome to stop by my office to chat. Click here to see if I have an immediate M.Sc/Ph.D. opening. Undergraduate students click here . Research Interests Combinatorial Scientific Computing Network Science, Complex Systems Multiscale Methods Machine Learning, Data Mining Graph Theory, Algorithms Hypothesis Generation, Text Mining Computational Science Funding NSF BMW Greenville Hospital System Department of Education My Erds number is 3 (Safro-Brandt-Gillis-Erds), and this is my Ph.D. genealogy tree (courtesy Mathematics Genealogy Project) Summer School on Network Science in USC Talk I: Multiscale Methods for Networks Talk II: When Multiscale Methods meet Network Generation Multiscale Network Generator (software, paper) Recent Professional Activities Editorial Board: PLOS ONE (Machine Learning and Data Mining Areas) (co)Organizer: Leibniz Center for Informatics, Dagstuhl Workshop "High-performance Graph Algorithms" , 2018 (1 week) Session on "Scalable Algorithms for Networks" at International Symposium on Mathematical Programming 2015 Leibniz Center for Informatics, Dagstuhl Workshop "High-performance Graph Algorithms and Applications in Computational Science" , 2014 (1 week) ICiS Workshop "Graph and Hypergraph Problems in Computational Science" , 2012 (1 week) Program Committee Member International Conference on Big Data Analytics and Knowledge Discovery (DaWaK 2018) SIAM Workshop in Combinatorial Scientific Computing 2016 (SIAM CSC16) Learning and Intelligent Optimization 2011, 2012, 2013 (LION11-13) IEEE 2nd International Workshop on Network Science 2013 (NSW13) Reviewer Numerical Linear Algebra and Applications; SIAM Journal on Numerical Analysis; Computers and OR; Networks; Journal of Computational Science; SIAM Journal on Scientific Computing; Machine Learning; Optimization Methods and Software Grant Panels: LDRD for national labs, NASA, NSF diff --git a/src/data/compiled_bios/3090.txt b/src/data/compiled_bios/3090.txt new file mode 100644 index 0000000000..5d550ce15d --- /dev/null +++ b/src/data/compiled_bios/3090.txt @@ -0,0 +1 @@ + Welcome Professional Experience Administrative Activities Consulting Experience Management Experience Professional Development Video Presentations and White Papers Research 1. Urban Water Infrastructure Assessing Lead in Drinking Water Brominated DBPs and Drinking Water Risk Climate Change Adaptation for Infrastructure Monitoring and Modeling Water Systems Optimization of drinking water treatment and distribution Nitrogen in urban infrastructure 2. Watershed Systems and Integrated Watershed Management Assessing watershed-scale impacts of wastewater treatment Sampling in Large Rivers Monongahela River Baseline 3. Energy Water Nexus Effect of Power Plant Discharges on Drinking Water Sources Oil and Gas Produced Water Discharges and Water Quality 4. Biodegradation 5. Nanomaterials Membranes and Organic Fouling Nanomaterials and Quorum Sensing Teaching Outreach and Educational Service Professional Service Awards Graduate Students Jeanne M. VanBriesen Recent Posts Hello world! Bookmarks Documentation Feedback Plugins Support Forums Themes WordPress Blog WordPress Planet Welcome Dr. Jeanne M. VanBriesen is the Duquesne Light Company Professor of Civil and Environmental Engineering at Carnegie Mellon University. Dr. VanBriesen holds a B.S. in Education and a M.S. and Ph.D. in Civil Engineering from Northwestern University. Her current research interests are broadly in the areas of (1) urban water system sustainability and the built environment water cycle, and (2) the energy-water nexus and watershed decision making. She is particularly interested in how natural and engineering water systems interact across space and time and how biogeochemistry alters water quality through these transitions. Dr. VanBriesens prior research included (1) biodegradation of recalcitrant organic compounds (specifically chelates and PCBs) and (2) modeling bacterial system thermodynamics and diversity. Dr. VanBriesen has served on the boards of the Association for Environmental Engineering and Science Professors (AEESP) and the Ohio River Basin Consortia for Research and Education (ORBCRE). She is currently serving on the U.S.EPA Science Advisory Board and as Chair Elect on the Board for the Consortium of Universities for the Advancement of Hydrologic Sciences (CUAHSI). Education Ph.D. Civil (Environmental) Engineering, Northwestern University (1998) M.S. Civil (Environmental) Engineering, Northwestern University (1993) B.S. Education (Chemistry), Northwestern University (1990) Contact Information Jeanne M. VanBriesen Duquesne Light Company Professor of Civil and Environmental Engineering Phone: (412) 268-4603 Fax: (412) 268- 7813 Email: jeanne@cmu.edu Office Location: Porter Hall 123 G Current Curriculum Vitae Google Scholar Page diff --git a/src/data/compiled_bios/3091.txt b/src/data/compiled_bios/3091.txt new file mode 100644 index 0000000000..f384a3f12d --- /dev/null +++ b/src/data/compiled_bios/3091.txt @@ -0,0 +1 @@ + Gerald J. Wang Assistant Professor, Civil and Environmental Engineering Contact Email Address 5000 Forbes Avenue Pittsburgh, PA 15213 Bio Jerry Wang will join the CMU Department of Civil and Environmental Engineering in Fall 2019. Wang is currently a postdoctoral researcher in the MIT Department of Chemical Engineering. His research interests involve using mechanics, statistical physics, and high-performance computing to understand nanoscale structural and transport phenomena, with the goal of developing very small solutions for very big problems in the water-energy nexus. Education PhD in Mechanical Engineering and Computation, Massachusetts Institute of Technology, 2018 SM in Mechanical Engineering, Massachusetts Institute of Technology, 2015 BS in Mechanical Engineering, Mathematics & Physics, Yale University, 2013 Research Research Group: MMC Areas of Interest: Nanoscale fluid and solid mechanics Molecular simulation Materials science for the water-energy nexus Non-equilibrium statistical physics Multi-scale methods development/high-performance computing Publications Representative Publications G. J. Wang and N. G. Hadjiconstantinou (2018) "Layered Fluid Structure and Anomalous Diffusion under Nanoconfinement," Langmuir, Vol. 34, Iss. 23, 6976-6982. G. J. Wang and N. G. Hadjiconstantinou (2017) "Molecular mechanics and structure of the fluid-solid interface in simple fluids," Physical Review Fluids, Vol. 2, No. 9, 094201. G. J. Wang and N. G. Hadjiconstantinou (2015) "Why are Fluid Densities So Low in Carbon Nanotubes?," Physics of Fluids, Vol. 27, No. 5, 052006. . diff --git a/src/data/compiled_bios/3092.txt b/src/data/compiled_bios/3092.txt new file mode 100644 index 0000000000..48a43b621b --- /dev/null +++ b/src/data/compiled_bios/3092.txt @@ -0,0 +1 @@ + Richard Wicentowski Professor and Chair Computer Science Department Swarthmore College 500 College Avenue Swarthmore, PA 19081 Science Center 251 (610) 690-5643 richardwatcs.swarthmore.edu Spring 2019: Weekly schedule M 9:15am-10:15am Office Hours Sci Ctr 251 M 1:30pm-2:30pm M 2:30pm-3:00pm CS31 instructors meeting Sci Ctr 246 T 4:30pm-5:15pm Ninja meeting Sci Ctr 246 W 8:50am-10:20am CPSC 031.A: Introduction to Computer Systems (Lab) Sci Ctr 240 Th 4:20pm-5:30pm Department meeting Sci Ctr 246 Research My research area is in the area of computational linguistics, or natural language processing. I have focused my work in two major areas: computational morphology and semantic disambiguation. To find out more about my work in computational linguistics, see: T. Clark, R. Wicentowski, M. Sydes. A cross-sectional analysis of UK research studies in 2015: results from a scoping project with the UK Health Research Authority" . In BMJ Open , 2018:8:e022340, doi:10.1136/bmjopen-2018-022340. R. Wicentowski. "SWATCS65: Sentiment Classification Using an Ensemble of Class Projects" . In Proceedings of SemEval 2015 , 2015. Y. Alhessi'16 and R. Wicentowski. "SWATAC: A Sentiment Analyzer using One-Vs-Rest Logistic Regression" . In Proceedings of SemEval 2015 , 2015. R. Talbot'15, C. Acheampong'16 and R. Wicentowski. "SWASH: A Naive Bayes Classifier for Tweet Sentiment Identification" . In Proceedings of SemEval 2015 , 2015. R. Collins'16, D. May'16, N. Weinthal'15 and R. Wicentowski. "SWAT-CMW: Classification of Twitter Emotional Polarity using a Multiple-Classifier Decision Schema and Enhanced Emotion Tagging" . In Proceedings of SemEval 2015 , 2015. S. Clark'13, R. Wicentowski. "SwatCS: Combining simple classifiers with estimated accuracy" . In Proceedings of the 7th International Workshop on Semantic Evaluation , pp. 425-429, 2013. R. Wicentowski, M. Sydes. "Emotion Detection in Suicide Notes using Maximum Entropy Classification" . In Biomedical Informatics Insights , Vol 5, Suppl 1, pp. 51-60, 2012. R. Wicentowski, M. Kelly'10, R. Lee'10. "SWAT: Cross-Lingual Lexical Substitution using Local Context Matching, Bilingual Dictionaries and Machine Translation" . In Proceedings of SemEval-2010: 5th International Workshop on Semantic Evaluations , 2010. R. Wicentowski, M. Sydes. "Using Implicit Information to Identify Smoking Status in Smoke-Blind Medical Discharge Summaries" . In The Journal of the American Medical Informatics Association (JAMIA) , Vol 15, No 1, 2008. G. Dahl'08, A. Frassica'09, R. Wicentowski. "SW-AG: Local Context Matching for English Substitution" . In Proceedings of SemEval-2007: 4th International Workshop on Semantic Evaluations , pp. 304-307, 2007. P. Katz'07, M. Singleton'07, R. Wicentowski. "SWAT-MP: The SemEval-2007 Systems for Task 5 and Task 14" . In Proceedings of SemEval-2007: 4th International Workshop on Semantic Evaluations , pp. 307-313, 2007. R. Wicentowski, M. Sydes. "Identifying Smoking Status From Implicit Information in Medical Discharge Summaries" . In The i2b2 Workshop on Challenges in Natural Language Processing for Clinical Data , The Annual Symposium of the American Medical Informatics Association: i2b2 Workshop on Challenges in Natural Language Processing for Clinical Data, 2006. R. Wicentowski. "Multilingual Noise-Robust Supervised Morphological Analysis using the WordFrame Model" . In Proceedings of Seventh Meeting of the ACL Special Interest Group on Computational Phonology (SIGPHON) , pp. 70-77, 2004. R. Wicentowski, E. Thomforde'04 and A. Packel'04. "The Swarthmore College SENSEVAL3 System" . In SENSEVAL-3: Third International Workshop on the Evaluation of Systems for the Semantic Analysis of Text , pp. 257-261, 2004. R. Wicentowski, G. Ngai, D. Wu, M. Carpuat, E. Thomforde'04 and A. Packel'04. "Joining forces to resolve lexical ambiguity: East meets West in Barcelona" . In SENSEVAL-3: Third International Workshop on the Evaluation of Systems for the Semantic Analysis of Text , pp. 262-264, 2004. R. Florian and R. Wicentowski. "Unsupervised Italian Word Sense Disambiguation using Wordnets and Unlabeled Corpora" . In Word Sense Disambiguation: Recent Successes and Future Directions, Proceedings of the 40th Meeting of the Association for Computational Linguistics , pp. 67-73, 2002. D. Yarowsky, G. Ngai and R. Wicentowski. "Inducing Multilingual Text Analysis Tools via Robust Projection across Aligned Corpora" . In Proceedings of HLT 2001, First International Conference on Human Language Technology Research (ISBN: 1-55860-786-2), pp. 161-168, 2001 D. Yarowsky, S. Cucerzan, R. Florian, C. Schafer and R. Wicentowski. "The Johns Hopkins SENSEVAL2 System Descriptions" . In Proceedings of SENSEVAL2 , pp. 163-166, 2001. D. Yarowsky and R. Wicentowski. "Minimally supervised morphological analysis by multimodal alignment" . In Proceedings of the 38th Meeting of the Association for Computational Linguistics (ISBN: 1-55860-731-5), pp. 207-216, 2000. For my doctoral thesis , I developed a multilingual, minimally supervised morphological analyzer for Spanish, Portuguese, French, Catalan, Occitan, Italian, Romanian, Latin, English, German, Dutch, Danish, Norwegian, Swedish, Icelandic, Czech, Polish, Russian, Irish, Welsh, Greek, Hindi, Sanskrit, Estonian, Finnish, Turkish, Uzbek, Tamil, Basque, Tagalog, Swahili, and Klingon. I have also published in areas outside of natural language processing: A. Danyluk, M. Jipping, R. Price Jones, D. Reed, B. Richards, and R. Wicentowski. "Small or Liberal Arts Colleges Adapting to CS2013: Making It Work" . In Proceedings of 46th ACM Technical Symposium on Computer Science Education , March 2015. T. Newhall, L. Meeden, A. Danner, A. Soni, F. Ruiz and R. Wicentowski. "A Support Program for Introductory CS Courses that Improves Student Performance and Retains Students From Underrepresented Groups" . In Proceedings of the 45th ACM Technical Symposium on Computer Science Education , 2014. B. Tomasik, J.H. Kim, M. Ladlow, M. Augat, D. Tingle, R. Wicentowski, and D. Turnbull. "Using Regression to Combine Data Sources for Semantic Music Discovery" . In Proceedings of the International Symposium on Music Information Retrieval (ISMIR '09) , October 2009. R. Wicentowski and T. Newhall. "Using Image Processing Projects to Teach CS1 Topics" . In Proceedings of 36th ACM Technical Symposium on Computer Science Education , February 2005. Education Ph.D. Computer Science , Johns Hopkins University , 2002 M.S. Computer Science , University of Pittsburgh , 1995 B.S. Computer Science , Rutgers University , 1993 Selected Past Courses CS 21: Introduction to Computer Science ( F'17 , F'15 , S'14 , S'13 ) CS 31: Computer Systems ( S'18 ) CS 33: Computer Organization ( F'11 , F'08 ) CS 35: Data Structures and Algorithms ( S'04 ) CS 37: Structure and Interpretation of Computer Programs ( S'13 , S'12 ) CS 65: Natural Language Processing ( F'18 , F'14 , F'12 ) CS 67: Information Retrieval ( S'09 ) CS 91: Software Engineering: iOS Development ( S'11 ) CS 97: Senior Conference ( S'05 , S'03 ) Last modified: Mon Aug 14 23:26:45 EST 2017 diff --git a/src/data/compiled_bios/3093.txt b/src/data/compiled_bios/3093.txt new file mode 100644 index 0000000000..06950d1b3f --- /dev/null +++ b/src/data/compiled_bios/3093.txt @@ -0,0 +1 @@ + Joshua Brody Assistant Professor Computer Science Department Swarthmore College 500 College Ave Swarthmore, PA 19081 phone: 610-690-6866 email: brody at cs.swarthmore.edu Home CV Teaching Research Schedule anonymous feedback I am an Assistant Professor of Computer Science at Swarthmore College . I received a Ph.D. in computer science in September 2010 from Dartmouth College , where I was fortunate to be advised by Amit Chakrabarti . Between Dartmouth and Swarthmore, I was a postdoctoral researcher at Tsinghua University and Aarhus University . Prior to graduate school, I was a Peace Corps Volunteer in Burkina Faso , where I taught high school mathematics and introductory computer skills. My main research area is theoretical computer science. I am particularly interested in communication complexity, and in how communication lower bounds give you lower bounds in areas such as streaming algorithms, property testing, and data structures. Current Teaching CS 21: Introduction to Computer Science Lecture 2: MWF 10:30-11:20, SCI 256 Lecture 3: MWF 11:30-12:20, SCI 256 Lab C: W 3:00-4:30, SCI 256 Past Teaching CS 21: Introduction to Computer Science ( S16 ) CS 35: Data Structures and Algorithms ( S17 , F14 , S14 , F13 lab ) CS 41: Introduction to Algorithms ( F18 , F16 , S15 , F13 ) CS 49/Math 59: The Probabilistic Method ( F15 ) CS 93: Directed Reading (F18, S16, F15, F14, S14, F13) Sublinear Time Algortihms: Property Testing . Aarhus University, Third Quarter, Winter 2013. Communication Complexity . Aarhus University, Second Quarter Fall 2011. Research Immersion in Theoretical Computer Science. Tsinghua University, Summer 2011. Computer Architecture (CS37). Dartmouth College, Summer 2010. Home Last Updated: January 18, 2019 diff --git a/src/data/compiled_bios/3094.txt b/src/data/compiled_bios/3094.txt new file mode 100644 index 0000000000..f441bb4103 --- /dev/null +++ b/src/data/compiled_bios/3094.txt @@ -0,0 +1 @@ + Vasanta Chaganti Assistant Professor Computer Science Department Swarthmore College 500 College Avenue Swarthmore, PA 19081 252-D Science Center chaganti [at] cs [dot] swarthmore [dot] edu I'm an Assistant Professor of Computer Science at Swarthmore College . I have most recently been a post-doctoral scholar at UMass, Amherst , where my advisors were Prof. Jim Kurose and Prof. Arun Venkataramani . My research interests are in design and evaluation of next-generation network architectures, enabling device and content mobility in the Internet, and performance modeling and data analysis of large-scale networks. Current Semester Spring 2019 Schedule CS 31: Introduction to Computer Systems Class 1:15 PM 2:30 PM Tuesday, Thursday Science Center 199 Lab (Section A) - Rich Wicentowski 8:50 AM 10:20 AM Wednesday Science Center 240 Lab (Section B) - Scout Brody 1:15 PM 2:45 PM Wedneday Science Center 240 Lab (Section C) - Vasanta Chaganti 3:00 PM 4:30 PM Wednesday Science Center 240 Office Hours (If these times don't work, please send me an email.) 3:00 PM - 4:30 PM Monday Science Center 252 D 2:30 PM - 4:00 PM Thursday Science Center 252 D Past Courses CS43: Computer Networks: Fall 2018 Publications V .Chaganti, J.Kurose, and A.Venkataramani, A Cross-Architectural Quantitative Evaluation of Mobility Approaches, IEEE-INFOCOM, 2018. International Conference on Computer Communications, April 2018. Best In-session presentation Award. T.Thai, V.G.Chaganti, E.Lochin, J.Lacan, E.Dubois, P.Gelard, Enabling E2E Reliable Communications with Adaptive re-Encoding over Delay Tolerant Networks, IEEE-ICC, 2015. IEEE-International Communications Conference, June, 2015. J.Steshenko, V.Chaganti, and J.Kurose. 2014. Mobility in a Large-scale WiFi Network: From Syslog Events to Mobile User Sessions, in Proceedings of the 17th ACM International conference on modeling, analysis and simulation of wireless and mobile systems, pp. 331334, ACM, 2014. Best Poster and Demo Award. V.Chaganti, Wireless Body Area Networks: Accuracy of Channel Modelling and Prediction. PhD thesis, The Australian National University, December 2014. V.Chaganti, L.Hanlen, and D.Smith, Are Narrowband Wireless On-body Networks Wide Sense Stationary? IEEE Transactions on Wireless Communications, vol.13, no.5, pp. 2432 2442, May 2014. V.Chaganti, L.Hanlen, and D.Smith, Non-stationarity of body area networks for sleep monitoring, Electronics Letters, vol.49, no.15, pp.927-929, 2013. V.G.Chaganti, L.W.Hanlen, and T.A.Lamahewa, Semi-Markov Modelling for Body Area Networks, IEEE-ICC, 2011. IEEE-International Communications Conference, June, 2011. L.W.Hanlen, V.G.Chaganti, B.Gilbert, D.Rodda, T.A.Lamahewa, and D.B.Smith, Open-source test-bed for body area networks: 200 sample/sec, 12hrs. continuous measurement. In IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC, Sept. 2010. V.G.Chaganti, D.B.Smith, and L.W.Hanlen, Second-Order Statistics for Many-Link Body Area Networks, IEEE Antennas and Wireless Propagation Letters, vol.9, pp.322- 325, 2010. Presentations and Datasets J.Steshenko, V.Chaganti, and J.Kurose, Mobility in a large scale WiFi network: from Syslog events to mobile user sessions to anonymized mobility traces New England Networking and Systems Day, Presentation, October 2014. V.Chaganti, L.Hanlen, and D.Smith Channel Modelling and Prediction for Body Area Networks, IEEE Australian Communication Theory Workshop, January 2011. D.Smith, L.Hanlen, D.Rodda, B.Gilbert, J.Dong, and V.Chaganti, Body Area Network Radio Channel Measurement Set.[ Dataset ] Teaching Current Schedule Research Publications Presentations & Datasets diff --git a/src/data/compiled_bios/3095.txt b/src/data/compiled_bios/3095.txt new file mode 100644 index 0000000000..0c271ef86f --- /dev/null +++ b/src/data/compiled_bios/3095.txt @@ -0,0 +1 @@ + Andrew Danner Associate Professor Computer Science Swarthmore College Swarthmore, PA 19081 Science Center 247 CV | Papers | Lidar | Watersheds Other: TerraSTREAM / SCALGO | TPIE | GRASS | Weather I/O-Efficient Algorithms and GIS Applications Welcome I'm an associate professor in computer science at Swarthmore College . I am interested in researching ways to process very large geometric data sets that often arise in geographic information systems (GIS). I am originally from Southwestern Pennsylvania , so I say " pop ", not "soda". Contact keybase.io/adanner github.com/adanner Spring 2019 Teaching CS 21: Introduction to Computer Science CS 21 Lab C Previous Courses Courses marked with +L include a separate lab section CS 21 Introduction to Computer Science | S19+L | F15+L | S15+L | F13+L | F12+L | F09+L | S09 | F08 | F07 | S07 CS 31 Introduction to Computer Systems | F14+L CS 35 Data Structures and Algorithms | F17+L | S17 (Lab only) | S11+L | F10+L | S10+L | S08 | F07 CS 40 Computer Graphics | F18+2L | F16(2S)+2L | F14+L | S13+L | S11+L | S09 CS 41 Algorithms | F12+L | F08 | F06 CS 46 Theory of Computation | S18+L | S14+L | S10+L | S07 CS 97 Senior Conference | S08 | F06 Research Summary My current research interests are in I/O-efficient algorithms (also called out-of-core or external-memory algorithms). On data sets larger than the amount of available internal memory of a computer, the transfer of data between slow hard disks and faster internal memory, not CPU speed, limits computing performance. Working in a theoretical model that mimics this behavior, I am interested in finding efficient ways to solve problems in computational geometry on large data sets. I also look at possible applications in geographic information systems (GIS). The STREAM project page summarizes some recent contributions by my research group to hi-resolution elevation data analysis and modeling. While my emphasis is on theory, I prefer to develop solutions that are practical enough to implement and be applied. One example of a practical project that I work on is TPIE a templated, portable I/O environment written in C++ that makes it easier for people to develop I/O-efficient applications. I also contribute to the open source GIS community through the GRASS project. Publications T. Newhall and A. Danner. Fire Simulator and Fractals: using a visualization library to introduce CUDA. In Proceedings of 8th NSF/TCPP Workshop on Parallel and Distributed Computing Education (EduPar-18) , 2018. [bib | web | pdf ] T. Newhall, A. Danner, K. C. Webb. Pervasive Parallel and Distributed Computing in a Liberal Arts College Curriculum. In Journal of Parallel and Distributed Computing , 2017. [ bib | pdf ] T. Newhall, L. Meeden, A. Danner, A. Soni, F. Ruiz, and R. Wicentowski. A Support Program for Introductory CS Courses that Improves Student Performance and Retains Students from Underrepresented Groups. In Proceedings of Special Interest Group in Computer Science Education (SIGCSE-14) , 2014. [ bib | pdf ] A. Danner, and T. Newhall. Integrating Parallel and Distributed Computing Topics into an Undergraduate CS Curriculum. In Proc. Workshop on Parallel and Distributed Computing Education (EduPar-13) , 2013. [ bib | pdf ] A. Danner, J. Baskin, A. Breslow, and D. Wilikofsky. Hybrid MPI/GPU Interpolation for Grid DEM Construction. In Proc. ACM Symposium on Advances in Geographic Information Systems , pages 299308, 2012. [ bib | pdf ] R.Carlson and A.Danner. Bridge detection in grid terrains and improved drainage enforcement. In Proc. ACM Symposium on Advances in Geographic Information Systems , pages 250260, 2010. [ bib | pdf ] A.Danner, T.Mlhave, K.Yi, P.K.Agarwal, L.Arge, and H.Mitasova. TerraStream: From Elevation Data to Watershed Hierarchies. In Proc. ACM Symposium on Advances in Geographic Information Systems , pages 212219, 2007. [ bib | pdf ] P.K.Agarwal, L.Arge, and A.Danner. From point cloud to grid DEM: A scalable approach. In Andreas Riedl, Wolfgang Kainz, and Gregory Elmes, editors, Progress in Spatial Data Handling. 12th International Symposium on Spatial Data Handling , pages 771788. Springer-Verlag, 2006. [ bib | pdf ] L.Arge, A.Danner, H.Haverkort, and N.Zeh. I/O-efficient hierarchical watershed decomposition of grid terrain models. In Andreas Riedl, Wolfgang Kainz, and Gregory Elmes, editors, Progress in Spatial Data Handling. 12th International Symposium on Spatial Data Handling , pages 825844. Springer-Verlag, 2006. [ bib | pdf ] A. Danner. I/O Efficient Algorithms and Applications in Geographic Information Systems PhD thesis, Department of Computer Science, Duke University, 2006. [ bib | pdf | pdf2 | color_pdf | color_pdf2 ] L.Arge, A.Danner, H.Haverkort, and N.Zeh. Computing Pfafstetter labellings I/O-efficiently. In Mnster University, Dept. of Computer Science, technical report 02/05-I , 2005. [ bib | pdf ] L.Arge, A.Danner, and S.Teh. I/O-efficient point location using persistent B-trees. The ACM Journal of Experimental Algorithmics , 8, 2003. [ bib | pdf ] P.K.Agarwal, L.Arge, A.Danner, and B.Holland-Minkley. Cache-oblivious data structures for orthogonal range searching. In Proc. ACM Symposium on Computational Geometry , pages 237245, 2003. [ bib | pdf ] L.Arge, A.Danner, and S.Teh. I/O-efficient point location using persistent B-trees. In Proc. Workshop on Algorithm Engineering and Experimentation , 2003. [ bib | pdf ] Education Ph.D. Duke University computer science (2006) committee: Pankaj Agarwal , Lars Arge , Helena Mitasova , and Herbert Edelsbrunner B.S. Gettysburg College physics and mathematics (1999) Home Page Last updated: Thursday, January 17, 2019 at 10:09:04 AM diff --git a/src/data/compiled_bios/3096.txt b/src/data/compiled_bios/3096.txt new file mode 100644 index 0000000000..64eb12164d --- /dev/null +++ b/src/data/compiled_bios/3096.txt @@ -0,0 +1 @@ + Lila Fontes Assistant Professor Computer Science Department Swarthmore College 500 College Ave Swarthmore, PA 19081 email: fontes at cs.swarthmore.edu office: Science Center 258 phone: 610-690-5313 office hours: by appointment (also: check your syllabus) Home Teaching Research Schedule Miscellany I am an Assistant Professor of Computer Science at Swarthmore College I was a postdoctoral researcher at the Universit Paris 7 Diderot . I completed my Ph.D. and M.Sc. degrees in computer science from the University of Toronto , as a member of the theory group , working under the supervision of Stephen A. Cook and Toniann Pitassi . I did my undergraduate work at Harvard in mathematics , focusing on logic under the supervision of Peter Koellner . My research area is theoretical computer science, and I am interested in problems involving privacy and communication. Spring 2019 Theory of Computation (CPSC 046 / MATH 046) Lecture: TR 9:55am-11:10am, SCI 181 Lab A: M 1:15pm-2:45pm, Clothier 016 Lab A: M 3pm-4:30pm, Clothier 016 Home Last Updated: August 21, 2017 diff --git a/src/data/compiled_bios/3097.txt b/src/data/compiled_bios/3097.txt new file mode 100644 index 0000000000..8af6e79b8b --- /dev/null +++ b/src/data/compiled_bios/3097.txt @@ -0,0 +1 @@ + Sara Mathieson Visiting Assistant Professor Computer Science Department Swarthmore College phone: 610.690.5525 office: Science Center 249 email: smathieson [at] cs [dot] swarthmore [dot] edu Teaching Current Semester Previous Courses Research Publications Lab Talks Other Bio I am currently a Visiting Assistant Professor in the Computer Science Department at Swarthmore College . I received my PhD in Computer Science in 2015 from UC Berkeley where I was advised by Yun S. Song . My research areas include computational and population genetics, with a focus on demographic inference. I am generally interested in developing statistical and machine learning methods for problems in biology. Current Semester Spring 2019 Schedule CS 66 Machine Learning Lecture MWF 10:30-11:20am 181 Science Center Labs Wednesday 1:15-2:45pm (A), 3:00-4:30pm (B) 016 Clothier Office Hours Monday 12:30-2pm, Friday 1-3pm, and by appointment Previous Courses Swarthmore College Introduction to Computer Science (CS 21) Fall 2017 , Fall 2018 Bioinformatics (CS 68) Spring 2018 Smith College How Computers Work (CSC 103) Spring 2016 Introduction to Computer Science (CSC 111) Spring 2017 Programming with Data Structures (CSC 212) Spring 2016 Computer Graphics (CSC 240) Fall 2015 , Fall 2016 Topics in Computational Biology (CSC 334) Fall 2015 Topics in Artificial Intelligence (CSC 390) Fall 2016 UC Berkeley (Teaching Assistant) Discrete Mathematics and Probability Theory (CS 70) Spring 2014 Algorithms for Computational Biology (CS 176) Fall 2013 Publications More information on my Google Scholar page . A Likelihood-Free Inference Framework for Population Genetic Data using Exchangeable Neural Networks Jeffrey Chan, Valerio Perrone, Jeffrey P. Spence, Paul A. Jenkins, Sara Mathieson , Yun S. Song NeurIPS , December 2018 [code] FADS1 and the timing of human adaptation to agriculture Sara Mathieson and Iain Mathieson MBE , October 2018 Deep learning for population genetic inference Sara Sheehan and Yun S. Song PLoS Computational Biology , March 2016 [code] Decoding coalescent hidden Markov models in linear time Kelley Harris, Sara Sheehan , John A. Kamm, and Yun S. Song RECOMB , April 2014 Estimating variable effective population sizes from multiple genomes: A sequentially Markov conditional sampling distribution approach Sara Sheehan *, Kelley Harris*, and Yun S. Song Genetics , July 2013 [code] Distributed Pipeline for Genomic Variant Calling Richard Xia, Sara Sheehan , Yuchen Zhang, Ameet Talwalkar, Matei Zaharia, Jonathan Terhorst, Michael Jordan, Yun S. Song, Armando Fox, and David Patterson NIPS: Big Learning workshop , December 2012 Telescoper: de novo assembly of highly repetitive regions Ma'ayan Bresler, Sara Sheehan , Andrew H. Chan, and Yun S. Song Bioinformatics , September 2012 Thesis: Scalable Algorithms for Population Genomic Inference PhD Thesis, UC Berkeley , May 2015 Lab There are four Swarthmore students currently working in my lab. In October they presented their work at the Mount Sinai Undergraduate Research Symposium . Kelly Finke '21 Michael Kourakos '21 Pedigree Reconstruction project Nhung Hoang '19 Hunter Lee '19 Deep Learning for Population Genetics project Selected Talks Society for Molecular Biology and Evolution (SMBE) meeting: A Likelihood-Free Inference Framework for Population Genetic Data using Permutation-Invariant Neural Networks. Yokohama, Japan. July 10, 2018. VU Women in Tech Conference, Villanova University: Machine Learning: What it Is and Why it Matters. Villanova, PA. January 27, 2018. Statistical and Computational Challenges in Large Scale Molecular Biology, BIRS Workshop: Towards automated population genetic inference using deep neural networks. Banff, Canada. March 29, 2017. [video] Computer Science Colloquium, Williams College: Deep learning for population genetic inference. Williamstown, MA. October 28, 2016. Evolgenome Seminar, Stanford University: A deep learning approach to ancestral inference. Stanford, CA. October 1, 2014. Society for Molecular Biology and Evolution (SMBE) meeting: A deep learning approach to ancestral inference. San Juan, Puerto Rico. June 9, 2014. American Society of Human Genetics (ASHG) meeting: Estimating human population sizes using the coalescent with recombination. San Francisco, CA. November 8, 2012. Bay Area Population Genetics (BAPG) meeting at UC Davis: Estimating ancient population sizes using the coalescent with recombination. Davis, CA. May 26, 2012. History 2017 - Swarthmore College Visiting Assistant Professor Department of Computer Science Swarthmore, PA 2015 - 2017 Smith College Assistant Professor Department of Computer Science Northampton, MA 2010 - 2015 UC Berkeley PhD, Computer Science Designated Emphasis in Computational and Genomic Biology Berkeley, CA 2008 - 2010 Massachusetts Institute of Technology BS, Mathematics with Computer Science (18C) Cambridge, MA 2006 - 2007 Harvey Mudd College Claremont, CA diff --git a/src/data/compiled_bios/3098.txt b/src/data/compiled_bios/3098.txt new file mode 100644 index 0000000000..96c7392b9f --- /dev/null +++ b/src/data/compiled_bios/3098.txt @@ -0,0 +1 @@ + Lisa Meeden Research Vita Papers Past Courses Grants Neil R. Grabois Professor in Natural Sciences and Engineering Computer Science Swarthmore College 500 College Ave. Swarthmore, PA 19081 610-328-8565 meeden@cs.swarthmore.edu I am a Full Professor in the Computer Science Department at Swarthmore College . I also participate in the interdisciplinary program Cognitive Science . I received my Ph.D. in Computer Science with a minor in Cognitive Science from Indiana University in 1994. I received my B.A. in Mathematics from Grinnell College in 1985. Spring 2019 Teaching Schedule Office hours TW 1:30 - 3:30pm SCI 243 CS63: Artificial Intelligence Class MWF 11:30 - 12:20 SCI 181 Lab A R 1:05 - 2:35pm Clothier Lab B R 2:45 - 4:15pm Clothier Research My current research is in the field of developmental robotics where the goal is to create intelligent robots by allowing them to go through a developmental process, rather than being directly programmed to solve a particular task. By endowing a robot with an appropriate control architecture and adaptive mechanisms, it can learn through interactions with the world, developing its own knowledge about itself and its environment. Selected Papers Developing Grounded Goals through Instant Replay Learning co-authored with Douglas Blank, Seventh Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics in Lisbon, Portugal, September 2017. A Developmental Robotics Manifesto co-authored with Douglas Blank and James Marshall, IEEE CIS Newsletter on Cognitive and Developmental Systems , Volume 14, Spring 2017. Curiosity: Emergent behavior through interacting multi-level predictions and poster co-authored with Douglas Blank and James Marshall. Presented at the Workshop Designing for Curiosity held in conjunction with the Conference Computer Human Interaction in Denver, CO, May 2017. Book Review of Angelo Cangelosi and Matthew Schlesinger: Developmental Robotics in Genetic Programming and Evolvable Machines , Volume 16, Issue 3, 2015. A support program for introductory CS courses that improves student performance and retains students from underrepresented groups , co-authored with Tia Newhall, Andy Danner, Ameet Soni, Frances Ruiz, and Richard Wicentowski. Proceedings of Special Interest Group in Computer Science Education , 2014. Category-Based Intrinsic Motivation , co-authored with Rachel Lee, Ryan Walker, and James Marshall. Proceedings of the Ninth International Conference on Epigenetic Robotics , 2009. Editorial: Introduction to Developmental Robotics , co-authored with Douglas Blank. Connection Science , Volume 18, Number 2, 2006. Bringing up robot: Fundamental mechanisms for creating a self-motivating, self-organizing architecture , co-authored with Douglas Blank, Deepak Kumar, and James Marshall. Cybernetics and Systems , Volume 36, Number 2, 2005. An emergent framework for self-motivation in developmental robotics , co-authored with James Marshall and Douglas Blank, presented at The Third International Conference on Development and Learning , 2004. Heterogeneity in the coevolved behaviors of mobile robots: The emergence of specialists , co-authored with Mitchell Potter and Alan Schultz, Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence , Morgan Kaufmann, 2001. REAPER: A Reflexive Architecture for Perceptive Agents , co-authored with Bruce Maxwell, Nii Saka Addo, Paul Dickson, Nathaniel Fairfield, Nik Johnson, Edward Jones, Suor Kim, Pukar Malla, Matthew Murphy, Brandon Rutter, and Eli Silk, AI Magazine , volume 22, number 1, 2001. Nature versus Nurture in Evolutionary Computation: Balancing the Roles of the Training Environment and the Fitness Function in Producing Behavior , co-authored with Jordan Wales and Jesse Wells, GECCO Late Breaking Paper , 2000. Integrating Robotics Research with Undergraduate Education , co-authored with Bruce Maxwell, Special Issue of IEEE Intelligent Systems , edited by Robin Murphy, volume 15, number 6, 2000. Trends in Evolutionary Robotics , co-authored with Deepak Kumar, Soft Computing for Intelligent Robotic Systems , edited by L.C. Jain and T. Fukuda, Physica-Verlag, New York, NY, pages 215-233, 1998. Bridging the gap between robot simulations and reality with improved models of sensor noise , Proceedings of the Third Annual Conference on Genetic Programming , edited by Koza, J.R, et. al., Morgan Kaufmann Publishers, San Francisco, CA, pages 824-831, 1998. A Hybrid Connectionist and BDI Architecture for Modeling Embedded Rational Agents , co-authored with Deepak Kumar, presented at the Workshop on Cognitive Robotics , AAAI Fall Symposium Series at MIT, October, 1998. Learning in autonomous robots: A summary of the 1996 Robolearn Workshop , co-authored with Henry Hexmoor, Knowledge Engineering Review , Volume 11, Issue 4, 1997. An incremental approach to developing intelligent neural network controllers for robots , IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics , Volume 26, Number 3, pages 474-485, 1996. Towards planning: Incremental investigations into adaptive robot control , unpublished dissertation done under the guidance of Mike Gasser at Indiana University, 1994. Emergent control and planning in an autonomous vehicle , co-authored with Gary McGraw and Doug Blank, Proceedings of the Fifteenth Annual Conference of the Cognitive Science Society , Lawrence Erlbaum Associates, Hillsdale, NJ, pages 735-740, 1993. Exploring the symbolic/subsymbolic continuum: A case study of RAAM , co-authored with Doug Blank and James Marshall, The Symbolic and Connectionist Paradigms: Closing the Gap , edited by J. Dinsmore, Lawrence Erlbaum Associates, Hillsdale, NJ, pages 113-148, 1992. Past courses Summer Scholars Program ( 2018 ) CS21 Introduction to Computer Science ( S18 , S16 , F14 , F10 , S08 ) CS21B Intro to CS: Applications in Biology ( S11 , S10 ) CS35 Data Structures and Algorithms ( F18 , S18 [lab], F09 ) CS37 The Structure and Interpretation of Computer Programs ( S06 ) CS63 Artificial Intelligence ( S16 , S15 , F13 , F11 , F07 , F05 ) CS75 Compiler Construction ( S11 , S07 ) CS81 Adaptive Robotics ( F17 , F15 , S14 , S12 , S10 , S09 , S08 , S06 , S03 ) COGS1 Introduction to Cognitive Science ( S07 ) Grants NSF CCLI EMD grant (2003-2006) Beyond LEGOs: Hardware, Software, and Curriculum for the Next Generation Robot Laboratory The Pyro software developed with the support of the grant Pyro received the NEEDS 2005 Premier Award for Excellence in Engineering Education Courseware See publications resulting from the grant NSF ILI grant (1996-1998) A robot-based laboratory for teaching Artificial Intelligence Developed as a result of the grant, Resource kit: A robot laboratory for teaching AI Last updated January 2018 diff --git a/src/data/compiled_bios/3099.txt b/src/data/compiled_bios/3099.txt new file mode 100644 index 0000000000..e77d5db395 --- /dev/null +++ b/src/data/compiled_bios/3099.txt @@ -0,0 +1 @@ + Tia Newhall Professor Computer Science Department Swarthmore College 500 College Ave Swarthmore, PA 19081 phone: (610) 690-5637 office: 252-B Science Center (I go by Tia, she/her) Teaching Current Semester Past Courses Research Projects Selected Publications Students Other My Unix & CS help pages/links CS graduate school links research/internship/job links Diversity in CS links I'm a professor in the Computer Science Department at Swarthmore College . I received my Ph.D. in Computer Science in 1999 from the University of Wisconsin where I was advised by Bart Miller . My general research area is parallel and distributed systems. Current Semester 2018-19 Schedule on leave Past Courses: CS21 Introduction to Computer Science CS31 Introduction to Computer Systems CS35 Data Structures and Algorithms CS44 Database Systems CS45 Operating Systems CS75 Compilers CS87 Parallel and Distributed Computing CS85 Distributed Systems CS97 Senior Conference Research My general research area is parallel and distributed systems. My main projects, Nswap and Nswap2L , implement fast backing storage systems for cluster computers. Nswap is a network RAM system for Linux clusters. Nswap allows individual cluster nodes with over-committed RAM to locate and use idle RAM of other nodes in the cluster. The goal of the project is to speed-up the runtime of cluster applications by avoiding the slow swapping to disk that normally occurs when a node doesn't have enough RAM space for the programs it is running. Nswap2L implements a virtualization layer on top of a heterogeneous collection of cluster storage devices including Nswap Network RAM, Flash SSD, disk and other cluster-wide backing store. It is added as a single block device to individual cluster nodes that transparently manages block placement on the set of underlying heterogeneous storage devices. Projects: The Nswap and Nswap2L Project . Nswap: Scalable and Adaptable Network RAM for Linux Clusters. Nswap2L: A Virtualization Layer on top of Heterogeneous Cluster Backing Storage PeerMon: A Peer-to-Peer Network Monitoring System Past Projects: Memory Management for SMPs Performance Measurement of Interpreted, JIT'ed & Dynamically Compiled Programs Paradyn Parallel Performance Tools Grants: National Science Foundation (NSF:CNS:CSR:Small:RUI), A Fast Backing Store System on top of Network RAM, Flash, and other Cluster-wide Storage , 2011-2016 Computer Research Association (CRA-W:CREU), Adding Reliability Support to Nswap, a Network Swapping System for Linux Clusters , 2004-2005 Selected Publications "Fire Simulator and Fractals: using a visualization library to introduce CUDA" , Tia Newhall, Andrew Danner, in Proceedings of 8th NSF/TCPP Workshop on Parallel and Distributed Computing Education (EduPar-18), in conjunction with IEEE IPDPS'18, Vancouver, British Columbia, May 2018. ( webpage with resources ) "Transparent Heterogeneous Backing Store for File Systems" , Benjamin Marks, Tia Newhall, in the 26th International Heterogeneity in Computing Workshop (HCW'17), in conjunction with IEEE IPDPS'17. Orlando FL, May 2017. ( paper or paper.pdf ) "Pervasive Parallel and Distributed Computing in a Liberal Arts College Curriculum" , Tia Newhall, Andrew Danner, Kevin C. Webb, The Journal of Parallel and Distributed Computing, volume 105, July 2017. ( paper ). "Nswap2L: Transparently Managing Heterogeneous Cluster Storage Resources for Fast Swapping" , Tia Newhall, E. Ryerson Lehman-Borer, Benjamin Marks, in the Proceedings of the ACM International Symposium on Memory Systems (MemSys'16), October, 2016. ( paper , talk_slides ) "A Support Program for Introductory CS Courses that Improves Student Performance and Retains Students from Underrepresented Groups" , Tia Newhall, Lisa Meeden, Andrew Danner, Ameet Soni, Frances Ruiz, Richard Wicentowski, Proceedings of the ACM Technical Symposium on Computer Science Education (SIGCSE), March 2014. ( paper.pdf , talk_slides.pdf ) "Integrating Parallel and Distributed Computing Topics into an Undergraduate CS Curriculum" , Andrew Danner and Tia Newhall, Proceedings of the Third NSF/TCPP Workshop on Parallel and Distributed Computing Education (EduPar'13), (in conjunction with IEEE IPDPS'13), Boston MA, May 2013. ( paper.pdf ) "Chestnut: A GPU Programming Language for Non-Experts" , Andrew Stromme , Ryan Carlson , Tia Newhall, Proceedings of ACM International Workshop on Programming Models and Applications for Multicores and Manycores (in conjunction with PPoPP'12), New Orleans LA, February 2012. ( paper.pdf ) "Incorporating Network RAM and Flash into Fast Backing Store for Clusters" , Tia Newhall and Douglas Woos, Proceedings of IEEE Cluster, Austin, TX, September 2011 ( paper.pdf , talk_slides.pdf ) "PeerMon: A Peer-to-Peer Network Monitoring System" , Tia Newhall, Jnis Lbeks , Ross Greenwood, Jeff Knerr, Proceedings of USENIX 24th Large Installation System Administration Conference (LISA), November 2010 ( paper.pdf ) "Reliable Adaptable Network RAM" , Tia Newhall, Dan Amato, Alexandr Pshenichkin, Proceedings of IEEE Cluster Computing, Tsukuba, Japan, September 2008 ( paper.pdf ) "Parallelizing Neural Network Training for Cluster Systems" , George Dahl , Alan McAvinney, Tia Newhall, Proceedings of the International Conference on Parallel and Distributed Computing and Networks (PDCN), 2008 ( paper.pdf ) "Using Image Processing Projects to Teach CS1 Topics" , Richard Wicentowski and Tia Newhall. Proceedings of 35th ACM Technical Symposium on Computer Science Education (SIGCSE), February 2005. ( paper.pdf , Project Webpage w/instructor resources ) "Reliability for Network Swapping Systems that Support Migration of Remotely Swapped Pages" , Tia Newhall, Benjamin Mitchell, Julian Rosse. Proceedings of the 16th IASTED International Conference on Parallel and Distributed Computing and Systems, November 2004 "Nswap: A Network Swapping Module for Linux Clusters" . Tia Newhall, Sean Finney, Kuzman Ganchev, Michael Spiegel. Proceedings of Euro-Par'03 International Conference on Parallel and Distributed Computing, Klagenfurt, Austria, August 2003. Lecture Notes in Computer Science , 2790 , Springer. ( paper.pdf , talk slides ). "Using Departmental Surveys to Assess Computing Culture: Quantifying Gender Differences in the Classroom" . Lisa Meeden, Tia Newhall, Doug Blank and Deepak Kumar. Proceedings of the 8th Innovation and Technology in Computer Science Education (ITiCSE) Conference, Thessaloniki Greece, June 2003. ( paper.pdf , talk slides ). "Efficient Memory Management for SMPs Running Parallel and Sequential Workloads" . Tia Newhall and Patrick Boe. Proceedings of the 14th IASTED International Conference on Parallel and Distributed Computing and Systems, pp. 761-766, November 2002. "A Comprehensive Project for CS2: Combining Key Data Structures and Algorithms into an Integrated Web Browser and Search Engine" . Tia Newhall and Lisa Meeden. Proceedings of the 33rd ACM Technical Symposium on Computer Education (SIGCSE), Northern Kentucky, February 2002. ( paper.pdf ). (Project Web Page with instructor resources) . "Performance Measurement of Dynamically Compiled Java Executions" . Tia Newhall and Barton P. Miller. Concurrency, Practice and Experience , Volume 12, Issue 6, pp. 343-362, August 2000. Publisher John Wiley & Sons, Editor Geoffrey Fox. ( compressed postscript , PDF ). "Performance Measurement of Interpreted, Just-in-Time Compiled, and Dynamically Compiled Executions" . Tia Newhall. Ph.D. dissertation, under the supervision of Barton P. Miller, University of Wisconsin 1999. ( paper.pdf ). "Performance Measurement of Dynamically Compiled Java Executions" . Tia Newhall and Barton P. Miller. 1999 ACM Java Grande Conference, pp. 42-50, Palo Alto, June 1999. ( PDF ), Talk slides: ( PDF ). "Performance Measurement of Interpreted Programs" , Tia Newhall and Barton P. Miller. Proceedings of Euro-Par'98 International Conference on Parallel and Distributed Computing, Southampton, UK, September 1998. David Pritchard and Jeff Reeve (Eds.), Lecture Notes in Computer Science , 1470 , pp. 146-156, Springer-Verlag. ( compressed postscript ). "The Paradyn Parallel Performance Measurement Tools" , Barton P. Miller, Mark D. Callaghan, Jonathan M. Cargille, Jeffery K. Hollingsworth, R. Bruce Irvin, Karen L. Karavanic, Krishna Kunchithapadam, Tia Newhall. IEEE Computer , 28 , 11, pp. 37-46, November 1995. ( compressed postscript ). Computer Science Graduate School Resources CRA's Computer Science Undergraduate Research with information about CS research and CS graduate school. How to Succeed in Graduate School by Marie desJardins, from ACM Crossroads, 2008 Applying to Ph.D. Programs in Computer Science by Mor Harchol-Balter at CMU . This is a very good source of information about what getting a Ph.D. is like, how to apply to gradschool, the importance of grades, GREs, research experience, and letters of recommendations, how to write a good personal statement, how to get good letters of recommendation, how to pick schools to which to apply (and how to pick a school once accepted), and links to fellowships. Summer Research Opportunities for Undergraduates NSF's REU in CS (Research Experiences for Undergraduates) Follow the Computer and Information Sciences link. about NSF's REUs CRA Resources for Students CS Job Searching Resources ACM's Resrouces for Graduating Students Ultimate Guide to Programming Interviews Diversity in Computer Science Links WICS Swarthmore Women In Computer Science group Computing Research Association Commitee on the Status of Women in Computing Research (CRA-W) Computing Research Association Diversity in CS Programs ACM's ACM-W: Comittee on Women in Computing Tapia Celebration of Diversity in Computing Conference Grace Hopper Celebration of Women in Computing Conference The Ada Project a clearinghouse for information and resources related to women and computing Last updated: Saturday, September 01, 2018 at 01:59:33 PM diff --git a/src/data/compiled_bios/31.txt b/src/data/compiled_bios/31.txt new file mode 100644 index 0000000000..10c8faf42b --- /dev/null +++ b/src/data/compiled_bios/31.txt @@ -0,0 +1 @@ + Carl A. Gunter Personal Home Page Menu Skip to content Home Biography Research Publications Contact Posts About Me I am a professor in the Computer Science Department of the University of Illinois. I teach and do research on security and privacy for computer systems. My current primary projects relate to security and privacy in the healthcare and electric power sectors and for networking.I am the director of Illinois Security Lab (ISL) where I work with an interesting group of students, postdoctoral researchers, and research staff. I teach courses in the area of security and privacy. In particular, I will teach Advanced Computer Security (CS563/ECE524) and Computer Security II (CS463/ECE424). CS563 teaches students how to do research in security and how to do original writing and critical reading in the area. CS463prepares senior undergraduate and graduate students to understand and move technology advances in security and privacy and into practice. Search for: Recent Posts New Format for PET September 19, 2014 Accountable Systems Workshop February 4, 2014 AMIA 13 Featured Presentation on SHARP November 20, 2013 Six Research Challenges for the Security and Privacy of Health Information Technology April 27, 2013 Integrity Aware Architectures August 30, 2011 Proudly powered by WordPress diff --git a/src/data/compiled_bios/310.txt b/src/data/compiled_bios/310.txt new file mode 100644 index 0000000000..9abb11a96c --- /dev/null +++ b/src/data/compiled_bios/310.txt @@ -0,0 +1 @@ + Murali Sitaraman, School of Computing I am a Professor in Computer Science in the School of Computing at Clemson University. I direct the Clemson RESOLVE Software Research Group (RSRG) . Please see the RSRG website for details on our synergistic research and educational activities. The RESOLVE effort is funded by grants from the U.S. National Science Foundation (NSF). Courses I teach periodically include the following: CP SC 215: Software Development Foundations, CP SC 372: Software Engineering, CP SC 828: Theory of Programming Languages, CP SC 871: Fundamentals of Software Engineering, and CP SC 872: Software Specification & Design. I also teach CP SC 950: Software Engineering, a weekly research seminar, every semester. For course details, please visit Clemsons blackboard site. Murali Sitaraman Professor School of Computing 210 McAdams Clemson University Clemson, SC 29634-0974 E-mail: murali at clemson.edu Phone: (864)-656-6738 or 656-3444 Fax: (864)-656-0145 diff --git a/src/data/compiled_bios/3100.txt b/src/data/compiled_bios/3100.txt new file mode 100644 index 0000000000..63fa5b2fad --- /dev/null +++ b/src/data/compiled_bios/3100.txt @@ -0,0 +1 @@ + Home Publications Projects About recent miscellany news! Sep 2017, I presented my new Rubik's cube solver at Hack && Tell ! Jun 2017, For #RemakeJam, I ported the original 1998 veggie game to 2017 HTML canvas Jun 2017, As part of Sophie Jrg 's lab, we are building a very cool combined VR and MoCap rig for running animation experiments! May 2017, With Venturi Labs and Analytical Graphics , we created a drone racing game through center city Philadelphia using fun-to-use Cesium recent projects Rubik's Cube Solver 2017 Unity/C# Rubik's Cube cookbook-based solver based on "Mastering the Cube" by Don Taylor view more Piccaso by Style by Andrea Feyman and me, 2016 Javascript/Python Chart.js visualization of Andrea's DNN analysis of Picasso paintings. view more Glitzscape 2016 Javascript/webGL Hunt the Wampus inspired game with procedurally generated hex caves. view more opengLOL by Vanessa Pyne and me, 2016 C++/Javascript Raytracing implemented entirely in fragment shader/. view more TreatmentX by Jennifer Hill and me, 2016 Unity/C#/R Games for teaching experimental design. view more Complimenting Manatee By Jessamyn Fairfield and me, 2016 Python Twitter bot for creating complimenting manatee memes from @iloveyoumanatee view more recent notes, documentation, blogging, etc. recent publications The effect of animation controller and avatar on player perceptions Computer Animation and Virtual Worlds (CAVW) , 2016 Bayesian Clustering of Player Styles for Multiplayer Games Artificial Intelligence and Interactive Digital Entertainment (AIIDE) , 2015 Experimental analysis of motion style PhD Thesis, University of Pennsylvania , 2015 Trade-offs between Responsiveness and Naturalness for Player Characters Motion in Games , 2014 (Won best paper!) Home | Publications | Projects | About 2009 Aline Normoyle diff --git a/src/data/compiled_bios/3101.txt b/src/data/compiled_bios/3101.txt new file mode 100644 index 0000000000..9f49d623f9 --- /dev/null +++ b/src/data/compiled_bios/3101.txt @@ -0,0 +1 @@ + Zachary Palmer Department of Computer Science Swarthmore College 270 Science Center 500 College Avenue Swarthmore, PA 19081 zachary.palmer --at-- swarthmore.edu zepalmer I am a Visiting Assistant Professor of Computer Science at Swarthmore College . My research interests include software engineering, compile-time metaprogramming, subtype constraint theory, and related program analyses. I completed my Ph.D. in the Spring of 2015 at Johns Hopkins University , where I had the pleasure of being advised by Dr. Scott F. Smith . Teaching I am teaching CS75: Compilers in the Spring 2019 semester. Please see the course website for more information on CS75. Previous Courses Fall 2018: CS35: Data Structures and Algorithms Spring 2018: CS73: Programming Languages Fall 2017: CS71: Software Engineering Spring 2017: CS75: Compilers Fall 2016: CS35: Data Structures and Algorithms Spring 2016: CS35: Data Structures and Algorithms Fall 2015: CS21: Introduction to Computer Science Research My interests are in type theory, program analysis, and their application to software engineering. I am primarily working on DDPA , a higher-order demand-driven program analysis. This project applies intuitions from constraint type theory to program analysis, yielding an algorithm with natural work-sharing properties and expressiveness competitive with state-of-the-art analyses. My work on DDPA is a joint effort with the JHU Programming Languages laboratory . Publications A Schematic Pushdown Reachability Language , November 2018. Zachary Palmer, Charlotte Raty. Domain-Specific Language Design and Implementation (DSLDI); Boston, MA, USA. Relative Store Fragments for Singleton Abstraction , September 2017. (slides) Leandro Facchinetti, Zachary Palmer, Scott F. Smith. Static Analysis Symposium (SAS); New York, New York, USA. Higher-Order Demand-Driven Program Analysis , July 2016. (slides) (supplement) (talk) Zachary Palmer, Scott F. Smith. European Conference on Object-Oriented Programming (ECOOP); Rome, Italy. Control-Based Program Analysis (talk), November 2015. (slides) Zachary Palmer, Scott F. Smith. IBM PL Day; Yorktown Heights, New York, USA. Building a Typed Scripting Language , May 2015. (slides) Zachary Palmer. Dissertation; Johns Hopkins University. Types for Flexible Objects , November 2014. (slides) Pottayil Harisanker Menon, Zachary Palmer, Alexander Rozenshteyn, Scott F. Smith. Asian Symposium on Programming Languages and Systems (APLAS); Singapore. Previous drafts: ( May 2013 ) ( Jan 2014 ) ( Mar 2014 ) PatBang: Flexible type-safe pattern matching , September 2013. Pottayil Harisanker Menon, Zachary Palmer, Alexander Rozenshteyn, Scott F. Smith. Technical report. A Practical, Typed Variant Object Model , October 2012. (slides) Pottayil Harisanker Menon, Zachary Palmer, Alexander Rozenshteyn, Scott F. Smith. Foundations of Object-Oriented Languages (FOOL); Tucson, Arizona, USA. K3: Language Design for Building Multi-Platform, Domain-Specific Runtimes , September 2012. Yanif Ahmad, Zachary Palmer, Panchapakesan Shyamshankar. Workshop on Cross-model Language Design and Implementation (XLDI); Copenhagen, Denmark. BigBang: Designing a Statically-Typed Scripting Language , June 2012. (slides) Pottayil Harisanker Menon, Zachary Palmer, Alexander Rozenshteyn, Scott F. Smith. International Workshop on Scripts to Programs (STOP); Beijing, China. Backstage Java: Making a Difference in Metaprogramming , October 2011. (slides) Zachary Palmer, Scott F. Smith. Object Oriented Programming: Systems, Languages, and Applications (OOPSLA); Portland, Oregon, USA. diff --git a/src/data/compiled_bios/3102.txt b/src/data/compiled_bios/3102.txt new file mode 100644 index 0000000000..69c505befa --- /dev/null +++ b/src/data/compiled_bios/3102.txt @@ -0,0 +1 @@ + Ameet Soni Associate Professor Computer Science Department Swarthmore College phone: (610) 957-6288 office: 253 Science Center email: Teaching Current Semester Past Courses Research Projects Selected Publications Research Students Other Provide Anonymous Feedback I am currently an Associate Professor of Computer Science at Swarthmore College . I received my Ph.D. in Computer Science in August 2011 from the University of Wisconsin where I was advised by Professor Jude Shavlik . My general research interests are in the areas of machine learning and computational biology and medicine. Current Semester Spring 2018 Schedule CPSC 35: Data Structures and Algorithms Lab C: 2:45pm-4:15pm Thursday 256 Science Center CPSC 15/PHIL 07: Ethics and Technology 10:30am-11:20am MWF 246 Science Center Office Hours 2:00pm-4:00pm Monday, and by appointment 253 Science Center Office Hours (CPSC 15 only) 3:00pm-4:00pm Friday Eldridge Commons (Science Center Coffee Bar) Previous Courses: CPSC 66 - Machine Learning ( Fall 2017 ) CPSC 44 - Database Management Systems ( Fall 2018 , Spring 2015 , Spring 2014 ) CPSC 68 - Bioinformatics ( Spring 2017 , Fall 2014 , Spring 2013 ) CPSC 35 - Data Structures and Algorithms ( Fall 2013 , Fall 2012 , Spring 2012 ) CPSC 21B - Introduction to Computer Science: Applications in Biology ( Spring 2012 ) CPSC 21 - Introduction to Computer Science ( Spring 2018 , Fall 2016 , Fall 2011 ) Introduction to Bioinformatics ; Summer 2007, 2008, and 2009 Integrated Biological Sciences Summer Research Program University of Wisconsin-Madison Introduction to Programming (CS 302) ; Fall 2004, Spring 2005 Department of Computer Sciences University of Wisconsin-Madison Research Interests Machine Learning probabilistic approaches for learning and inference in graphical models; statistical relational learning; deep learning Biomedical Applications including clinical diagnosis, protein-structure prediction, gene modeling, biomedical-image analysis, and information extraction from biomedical texts Please see my 2017 Faculty Lecture for an overview of my research. Projects Transcription factor binding : transcription factors govern the regulation of genes - that is, determine when a gene is on or off. Understanding which transcription factors bind to which areas of the genome and in which cells helps understand the function of target genes. Our lab utilizes deep neural networks to predict the binding affinity of specific transcription factors to a given portion of DNA to identify these relationships without the need for expensive in vivo experiments. Brain image analysis : Recently, my group has been researching several different computational problems in the area of MRI braining imaging. Initial results in this area include improved approaches for performing image segmentation in brain images using probabilistic graphical models (conditional random fields). Ongoing work aims to apply deep learning approaches - including convolutional neural networks - to improve early diagnosis of Alzheimer's disease. Statistical relational learning : Real world data is inherently noisy and relational (i.e., elements are dependent on one another). Traditional machine learning algorithms fail to account for these realities. In collaboration with Prof. Sriraam Natarajan at Indiana University, I have done work with Relational Dependency Networks to model problems in complex domains. Examples including relational extraction problems from text (e.g., identify the CEO of a company from a newswire article) and diagnosis of Parkinson's disease from medical records. Protein Structure Prediction : Previously, I worked on ACMI (Automated Crystallographic Map Interpretation). The task of determining protein structures has been a central one to the biological community for several decades. The most popular method for producing protein structures is by interpreting an electron-density map - a three-dimensional image of a molecule produced through X-ray crystallography. This process, however, remains a resource- intensive and time-consuming task, stunting basic biological research. Thus, the main objective of the project is: The result of our group's efforts is ACMI, a probabilistic technique for determining protein structures. Prior to ACMI, techniques failed when trying to interpret low-quality images. With ACMI, crystallographers can now obtain complete and accurate structures from these difficult proteins instead of scrapping the project or dedicating months of effort. Selected Publications [ Complete List ] Asterick's (*) indicate supervised students . Deep Residual Nets for Improved Alzheimers Diagnosis . *Aly Valliani* and Ameet Soni . In Proceedings of the 8th ACM Conference on Bioinformatics, Computational Biology and Health Informatics (ACM-BCB) , 2017 . [poster] [pdf] Identifying Parkinsons Patients: A Functional Gradient Boosting Approach . Devendra Singh Dhami, Ameet Soni, David Page and Sriraam Natarajan . In Artificial Intelligence in Medicine (AIME) , 2017 . [pdf] Learning relational dependency networks for relation extraction . Ameet Soni, Dileep Viswanathan, Jude W. Shavlik and Sriraam Natarajan . In Proceedings of the 26th International Conference on Inductive Logic Programming (ILP) , 2016 . [slides] [pdf] A Comparison of weak supervision methods for knowledge base construction . Ameet Soni, Dileep Viswanathan, Pachaiyappan, Niranjan and Sriraam Natarajan . In 5th Workshop on Automated Knowledge Base Construction (AKBC) at NAACL , 2016 . [poster] [pdf] A comprehensive analysis of classification algorithms for cancer prediction from gene expression . *Raehoon Jeong* and Ameet Soni . In Proceedings of the 6th ACM Conference on Bioinformatics, Computational Biology and Health Informatics (ACM-BCB) , pp. 525526, 2015 . [poster] [pdf] A support program for introductory CS courses that improves student performance and retains students from underrepresented groups . Newhall, Tia, Meeden, Lisa, Danner, Andrew, Ameet Soni, Ruiz, Frances and Wicentowski, Richard . In Proceedings of the 45th ACM Technical Symposium on Computer Science Education (SIGCSE) , pp. 433438, 2014 . [pdf] A graphical model approach to ATLAS-free mining of MRI images . *Chris S. Magnano*, Ameet Soni, Sriraam Natarajan and Kunapuli, Gautam . In Proceedings of the 2014 SIAM International Conference on Data Mining (SDM) , pp. 974982, 2014 . [poster] [pdf] Probabilistic ensembles for improved inference in protein-structure determination . Ameet Soni and Jude W. Shavlik . In Proceedings of the 2nd ACM Conference on Bioinformatics, Computational Biology and Biomedicine (ACM-BCB) , pp. 264273, 2011 . Invited for journal publication . [slides] [cached] [pdf] Guiding belief propagation using domain knowledge for protein-structure determination . Ameet Soni, Craig A. Bingman and Jude W. Shavlik . In Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology (ACM-BCB) , pp. 285294, 2010 . Best Paper Award . [slides] [cached] [pdf] Creating protein models from electron-density maps using particle-filtering methods . Frank DiMaio, Kondrashov, Dmitry A., Bitto, Eduard, Ameet Soni, Craig A. Bingman, George N. Phillips Jr. and Jude W. Shavlik . In Bioinformatics , Oxford Univ Press , vol. 23, no. 21, pp. 28512858, 2007 . PMCID: PMC2567142 [pdf] [doi] Improved methods for template-matching in electron-density maps using spherical harmonics . Frank DiMaio, Ameet Soni, George N. Phillips Jr. and Jude W. Shavlik . In IEEE International Conference on Bioinformatics and Biomedicine (BIBM) , pp. 258265, 2007 . Invited for journal publication . [code/data] [pdf] Research Students Previous Emily Dolson '13, PhD Student in Computer Science and Ecology, Evolutionary Biology, and Behavior, Michigan State University Stella Cho '14, Google Christopher Magnano '14, PhD Student in Computer Sciences, University of Wisconsin Kee (Chris) Nam '15, PhD Student in Systems Biology, Harvard University Teo Gelles '16, Amazon Andrew Gilchrist-Scott '16, Google Aly Valliani '16, Mount Sinai Medical School Raehoon Jeong '17, PhD Student in Bioinformatics, Harvard University Katherine Kwok '18, Predoctoral Research Assistant in Economics, Yale University Keton Kakkar '19 Alexa (Scout) Clark '19 Current Zachary Rothenberg '20 Kyle Yee '19 William Colgan '19 diff --git a/src/data/compiled_bios/3103.txt b/src/data/compiled_bios/3103.txt new file mode 100644 index 0000000000..bad149f207 --- /dev/null +++ b/src/data/compiled_bios/3103.txt @@ -0,0 +1 @@ + Kevin Webb Assistant Professor Computer Science Department Swarthmore College 500 College Avenue Swarthmore, PA 19081 255 Science Center 610-957-6071 kwebb at cs.swarthmore.edu I'm an Assistant Professor of Computer Science at Swarthmore College . I received my Ph.D. in August 2013 from UC San Diego , where my advisors were Alex Snoeren and Ken Yocum . My general research interests are networks and distributed systems. Current Semester Spring 2019 Schedule CS 45: Operating Systems Class 2:40 PM - 3:55 PM Tuesday, Thursday 183 Sci Ctr Lab (Section A) 2:15 PM - 3:45 PM Friday 256 Sci Ctr Lab (Section B) 4:00 PM - 5:30 PM Friday 256 Sci Ctr Office Hours (If these times don't work, contact me for an appointment.) 4:00 PM - 5:00 PM Tuesday 255 Sci Ctr 1:30 PM - 3:00 PM Wednesday 255 Sci Ctr Past Courses CS31: Introduction to Computer Systems ( Fall 2018 , Spring 2016 , Spring 2015 , Spring 2014 ) CS43: Computer Networks ( Fall 2017 , Fall 2015 , Fall 2013 ) CS45: Operating Systems ( Spring 2018 ) CS91: Cloud Systems and Datacenter Networks ( Fall 2014 ) CS93: Directed Reading / Seminar ( Spring 2016 , Fall 2015 ) Perspectives in Computing (UC San Diego, Winter 2012 ) Principles of Operating Systems (UC San Diego, Summer 2011 ) Publications D. Zingaro, C. Taylor, L. Porter, M. Clancy, C. Lee, S. Liao, and K. Webb. "Identifying Student Difficulties with Basic Data Structures". To appear in ACM International Computing Education Research Conference (ICER), August 2018. L. Porter, D. Zingaro, C. Lee, C. Taylor, K. Webb, and M. Clancy. "Developing Course-Level Learning Goals for Basic Data Structures in CS2". ACM Technical Symposium on Computer Science Education (SIGCSE), February 2018. ( pdf ) R. Collins, T. Gelles, B. Marks, A. Simms, and K. Webb. "STOIC: Streaming Operating Systems in the Cloud". IEEE International Conference on Communications (ICC), May 2017. ( pdf ) T. Newhall, A. Danner, and K. Webb. "Pervasive Parallel and Distributed Computing in a Liberal Arts College Curriculum". Journal of Parallel and Distributed Computing, January 2017. ( pdf available ) B. Marks, R. Collins, and K. Webb. "Parallel Simulated Annealing with MRAnneal". IEEE International Conference on Parallel and Distributed Systems (ICPADS), December 2015. ( pdf ) C. Taylor, D. Zingaro, L. Porter, K. Webb, C. Lee, and M. Clancy. "Computer Science Concept Inventories: Past and Future". Computer Science Education, October 2014. ( journal details ) K. Webb, A. Roy, K. Yocum, and A. Snoeren. "Blender: Upgrading Tenant-based Data Center Networking". ACM/IEEE Symposium on Architectures for Networking and Communication Systems (ANCS), October 2014. ( pdf ) L. Porter, C. Taylor, and K. Webb. "Leveraging Open Source Principles for Flexible Concept Inventory Development". ACM Conference on Innovation and Technology in Computer Science Education (ITiCSE), June 2014. ( pdf ) K. Webb and C. Taylor. "Developing a Pre- and Post-Course Concept Inventory to Gauge Operating Systems Learning". ACM Technical Symposium on Computer Science Education (SIGCSE), March 2014. ( pdf ) K. Webb, B. Vattikonda, K. Yocum, and A. Snoeren. "Scalable Coordination of a Tightly-Coupled Service in the Wide Area". ACM Conference on Timely Results in Operating Systems (TRIOS), November 3, 2013. ( pdf ) D. Logothetis, C. Trezzo, K. Webb, and K. Yocum. "In-situ MapReduce for Log Processing". USENIX Annual Technical Conference (ATC), June 2011. ( pdf ) K. Webb, A. Snoeren, and K. Yocum. "Topology Switching for Data Center Networks". Workshop on Hot Topics in Management of Internet, Cloud and Enterprise Networks and Services (Hot-ICE), March 2011. ( pdf ) E. Kiciman, B. Livshits, M. Musuvathi, and K. Webb. "Fluxo: A System for Internet Service Programming by Non-expert Developers". ACM Symposium on Cloud Computing (SOCC), June 2010. ( pdf ) D. Logothetis, C. Olston, B. Reed, K. Webb, and K. Yocum. "Stateful Bulk Processing for Incremental Algorithms". ACM Symposium on Cloud Computing (SOCC), June 2010. ( pdf ) Teaching Current Schedule Past Courses Research Publications diff --git a/src/data/compiled_bios/3104.txt b/src/data/compiled_bios/3104.txt new file mode 100644 index 0000000000..c5118e5071 --- /dev/null +++ b/src/data/compiled_bios/3104.txt @@ -0,0 +1 @@ + Bryce Wiedenbeck Teaching Current Semester Past Courses Research Overview Publications Fall 2018 Schedule CS35: Data Structures and Algorithms Tue/Thu 9:5511:10 SCI 199 CS35 Lab A Thu 1:052:35 SCI 240 CS35 Lab B Mon 2:454:15 SCI 240 Office Hours Tue 12:302:30, Wed 1:004:00, Fri 10:0012:00 SCI 262 Past Courses CS 31: Introduction to Computer Systems ( fall 2016 , fall 2015 lab ) CS 41: Algorithms ( fall 2017 ) CS 63: Artificial Intelligence ( spring 2016 , spring 2017 , spring 2018 ) CS 91: Game Theory ( fall 2018 ) CS 97: Senior Conference ( fall 2015 ) Research Overview My research on computational game theory lies at the boundary of economics and computer science. Game theory, traditionally a subfield of economics, uses mathematical models to study interactions among multiple independent strategic decision makers. I use game theory to study mult-agent interactions that arise in artificial intelligence and other areas of computer science. I also use computer science techniques to extend the reach of game-theoretic models. With agent-based simulations, the task of constructing a normal-form game model can be simplified and even automated. With machine learning, game models and equilibrium computation can generalize from incomplete data. If you are a student who is interested in working on these problems, please stop by my office or send me an email. Publications Journal Papers Pranav Dandekar, Ashish Goel, Michael P. Wellman, and Bryce Wiedenbeck. Strategic Formation of Credit Networks . ACM-ToIT, 2015. Major Conference Papers Samuel Sokota, Caleb Ho, and Bryce Wiedenbeck. Learning Deviation Payoffs in Simulation-Based Games . AAAI, 2019. Bryce Wiedenbeck, Fengjun Yang, and Michael Wellman. A Regression Approach for Modeling Games with Many Symmetric Players . AAAI, 2018. Bryce Wiedenbeck, Ben-Alexander Cassell, and Michael P. Wellman. Bootstrap Statistics for Empirical Games . AAMAS, 2014. Pranav Dandekar, Ashish Goel, Michael P. Wellman, and Bryce Wiedenbeck. Strategic Formation of Credit Networks . WWW, 2012. Bryce Wiedenbeck and Michael P. Wellman. Scaling Simulation-Based Game Analysis through Deviation-Preserving Reduction . AAMAS, 2012. Other Bryce Wiedenbeck. Approximate Analysis of Large Simulation-Based Games . PhD Thesis, 2015 Bryce Wiedenbeck and Michael P. Wellman. Learning Payoffs in Large Symmetric Games (Extended Abstract) . AAMAS, 2015. Michael P. Wellman and Bryce Wiedenbeck. An Empirical Game-Theoretic Analysis of Credit Network Formation . Allerton Conference, 2012. Pranav Dandekar, Bryce Wiedenbeck Ashish Goel, and Michael P. Wellman. Strategic Formation of Credit Networks: Preliminary Report . TADA Workshop, 2011. Gorbach AM, Wang H, Wiedenbeck B, Liu W, Smith P, and Elster E. Functional assessment of hand vasculature using infrared and laser speckle imaging . SPIE Biomedical Optics, 2009. diff --git a/src/data/compiled_bios/3105.txt b/src/data/compiled_bios/3105.txt new file mode 100644 index 0000000000..5b8af98f8f --- /dev/null +++ b/src/data/compiled_bios/3105.txt @@ -0,0 +1 @@ + Sara "Scout" Sinclair Contact | Teaching | Research | What to call me I am a Lecturer in the Computer Science Department at Swarthmore College. Prior to joining Swarthmore, I was the founding Executive Director of Simply Secure . I also worked at Google as a Product Manager (starting in the Associate Product Manager program) on projects in security, Android, and human-rights technology. I earned my Ph.D. in Computer Security from Dartmouth College with Access Control In and For the Real World . Contact My email address is scout (at) swarthmore [dot] edu. My office is Science Center 262A. My office hours for Spring 2019 are Thursdays 11:15-12:15, Fridays 3:00-4:00, and by appointment. Teaching In S19 I am teaching lab sections of CS 21 and CS 31. Research My primary research interests are in computer security, human factors, and their intersection ("usable security"). I am also interested in the use of technology to support advocacy and activism for human rights, ethics in technology, how large organizations effect change, and socio-technical systems more broadly. As a human-factors researcher my orientation is primarily qualitative. Google Scholar has a reasonably complete record of my publications. What to call me I usually go by "Scout", which is a nickname given to me in honor of the book To Kill A Mockingbird . If you are more comfortable using titles, you can call me "Dr. Scout" (my preferred honorific) or "Professor Sinclair". "Sara" is a very common name and if you use it I am likely to assume you're talking to someone else. My married name is Brody (my husband is also in the Computer Science Department at Swarthmore). In various places I may also be referred to as "Sara Brody", "Scout Brody", or "Sara 'Scout' Sinclair Brody". diff --git a/src/data/compiled_bios/3106.txt b/src/data/compiled_bios/3106.txt new file mode 100644 index 0000000000..d13bc9370b --- /dev/null +++ b/src/data/compiled_bios/3106.txt @@ -0,0 +1 @@ + Lauri Courtenay Academic Support Coordinator Computer Science Department Swarthmore College 500 College Ave Swarthmore, PA 19081 Phone: (610) 957-6062 Office: 257 Science Center Office hours: Tuesdays 10:00 am - 11:00 am and Thursdays 10:00 am - 11:00 am Email: lauri at cs swarthmore edu I am the Computer Science Academic Support Coordinator here at Swarthmore College. I completed my MS in Higher Education Administration from Drexel University and have over 15 years experience working with college students. Prior to coming to Swarthmore I ran the Supplemental Instruction program, an academic support program at Saint Joseph's University. Previously I was a Program Manager and Academic Advisor at Drexel, worked for Drexel Online and started my career in Career Services. You could say I have (almost) done it all! You will likely see me in CS21 class or in the ninja sessions but feel free to come see me anytime my door is open! If I am not able to answer your question, I will get you to the person who can. I hope to see you at the ninja sessions this semester! Spring 2019 Ninja session schedule (all sessions in Science Center 256) CS21 Wednesdays 7-10pm: Bayliss, Tiffany, Fefa, Kendre, Rohan, Adriana Fridays 7-9 pm: Misha, Elvis, Peem CS31 Sundays 7-11 pm: Shayne, Sally, Greg, Kevin CS35 Mondays 7-9 pm: Daniel, Mikey, Miryam Tuesdays 7-9 pm: Michael, Tai, Lyla diff --git a/src/data/compiled_bios/3107.txt b/src/data/compiled_bios/3107.txt new file mode 100644 index 0000000000..e6250ea1c0 --- /dev/null +++ b/src/data/compiled_bios/3107.txt @@ -0,0 +1 @@ + Jeffrey M. Knerr home schedule cs21 (F17) helps links contact directions swat cs home I'm the computer system administrator for the Swarthmore College Computer Science Department . This is my home page. :) All original material on this site is licensed under a Creative Commons License : : CSS : HTML : SwatCS diff --git a/src/data/compiled_bios/3108.txt b/src/data/compiled_bios/3108.txt new file mode 100644 index 0000000000..3f199c3389 --- /dev/null +++ b/src/data/compiled_bios/3108.txt @@ -0,0 +1 @@ + Charles F. Kelemen Edward Hicks Magill Professor Emeritus Computer Science Department Swarthmore College Recent Teaching Fall 2010 CS33: Computer Organization CS41: Algorithms Fall 2009 CS33: Computer Organization CS37: Structure and Interpretation of Computer Programs Spring 2009 CS46: Theory of Computing Fall 2008 CS15: Privacy and Trust in Cyberspace Spring 2007 CS35: Data Structures and Algorithms Research Interests Theory of Computation Algorithms Work in Progress Recent Professional Activity On the Philosophy of Computer Science within the Liberal Arts with Henry Walker to appear in ACM Transactions on Computing Education in 2010. Panelist on Open Source in the Curriculum at Integrating Free Open Source Software in the Undergraduate Curriculum a one-day pre-conference symposium held as SIGCSE-2009 in March 2009. A 2007 model curriculum for a liberal arts degree in computer science with 17 other members of LACS (Liberal Arts Computer Science Consortium) Journal on Educational Resources in Computing (JERIC) Volume 7 , Issue 2 (June 2007) ISSN:1531-4278 Keynote talk at Mellon Funded CS1 Workshop for Computer Science Faculty at Denison University June 14-15, 2007 Liberal Arts CS Consortium 2007 Model Curriculum draft NSF Northeast Workshop on Integrative Computing Education and Research (ICER) Computer Science a chapter (pp. 37-50) in The Curriculum Foundations Project ; Mathematical Association of America, ISBN 0-88385-813-4, 2004. Why Math? by Kim B. Bruce, Scot Drysdale, Charles Kelemen, and Allen Tucker Communications of the Association of Computing Machinery, September, 2003 pp. 41-44. Active Visual Scaffolding with Eugene Turk (student) pdf version of the paper published in Proceedings of the First Program Visualization Workshop, ed. Erkki Sutinen, ISBN 951-708-984-8, 2001. Non-Programming Resources for an Introduction to CS with Bergin, McNally, Goldweber, Hartley, Naps, Power; html version of paper that appeared in SIGCSE Bulletin 33 (2), June 2001 from working group at ITiCSE 2000. Our Curriculum Has Become Math-Phobic! with Allen Tucker and Kim Bruce, Proceedings of the 32nd Technical Symposium on Computer Science Education, SIGCSE Bulletin (33), March 2001. Active Visual Scaffolding html version of talk presented at the Program Visualization Workshop, University of Joensuu, Finland, July 2000. Has Our Curriculum Become Math-Phobic? in pdf format to be presented at ItiCSE2000--The 5th annual Conference on Innovation and Technology in Computer Science Education, Helsinki, Finland, July 11-13, 2000. CUPM Curriculum Foundations Workshop Computer Science Report in pdf format from workshop at Bowdoin College, October, 1999. Resources for Next Generation Introductory CS Courses from the workshop of same name at ItiCSE1999 in Krakow, Poland, July 1999 published in SIGCSE Bulletin, Dec. 1999. SIGCSE LACS NRC Workshop on Being Fluent with Information Technology , January, 1997. My Position Paper as workshop Participant for Being Fluent with Information Technology Contact Information Charles F. Kelemen Computer Science Department Swarthmore College 500 College Ave Swarthmore, PA 19081 voice: 610-328-8515 fax: 610-328-8606 cfk@cs.swarthmore.edu URL is http://www.cs.swarthmore.edu/~cfk Swarthmore College Campus Map diff --git a/src/data/compiled_bios/3109.txt b/src/data/compiled_bios/3109.txt new file mode 100644 index 0000000000..1b66da5717 --- /dev/null +++ b/src/data/compiled_bios/3109.txt @@ -0,0 +1 @@ + Greg Baker University Lecturer, School of Computing Science , Simon Fraser University Contact Information Email: ggbaker@sfu.ca Phone: 1-778-782-5755 (no student help by phoneemail only) Office: TASC 9229 vCard My schedule Teaching in Fall 2018 CMPT 383 (Comparative Programming Languages) CMPT 732 (Big Data Lab I) Teaching in Spring 2019 None General Policies Course Policies and Procedures Email Guidelines Degrees B.Sc. , Queen's University, 1998 M.Sc. , Simon Fraser University, 2000 More Info My personal home page Reference pages Colophon Return to the Faculty list or The School of Computing Science . Copyright Greg Baker , last modified 2018-11-20. diff --git a/src/data/compiled_bios/311.txt b/src/data/compiled_bios/311.txt new file mode 100644 index 0000000000..aa53c66680 --- /dev/null +++ b/src/data/compiled_bios/311.txt @@ -0,0 +1 @@ + Mark Smotherman Associate Professor School of Computing Clemson University office: 108 McAdams Hall email: mark at clemson.edu phone: (864) 656-5878 CV former students publications Spring 2019 Course CPSC 1020 section 4, Computer Science II. Please see the syllabus on Canvas. Some bits of programming wisdom I have collected over the years. Student Resources at Clemson Academic Success Center , provides materials and workshops on improving study skills and offers services such as individual academic counseling Graduate Students New Student Page at Graduate School New Student Page at Office of International Affairs 2012-2013 School of Computing Graduate Student Handbook (pdf) 2011-2012 School of Computing Graduate Student Handbook (pdf) PhD timeline (pdf) recent School of Computing theses and dissertations Graduate School deadlines general links for students considering graduate school Research Interests My research interests include computer architecture and system modeling. Possible projects that students could do under my supervision span this kind of range: microarchitecture instruction sets (e.g., EPIC, VLIW) selected OS topics (e.g., interrupt handling structures) workload analysis / performance and reliability models with Fred Brooks in 2015 Parallel Computing Laboratory, UC Berkeley Parallel@Illinois Pervasive Parallelism Laboratory, Stanford ACM SIGARCH ACM SIGMICRO TC-microARCH HPCA WWW Computer Architecture Home Page (at Univ. Wisconsin) Stanford Computer Systems Laboratory EE380 Colloquium Series my page on computer architects my pages on computer architecture history IBM Stretch history page IBM ACS history page diff --git a/src/data/compiled_bios/3110.txt b/src/data/compiled_bios/3110.txt new file mode 100644 index 0000000000..bbf063f8b7 --- /dev/null +++ b/src/data/compiled_bios/3110.txt @@ -0,0 +1 @@ + Andrei Bulatov Contact Info History Mission Statement Administration Facilities Brochures Job Opportunities Credits SiteMap Faculty Researchers/Visitors Administrative Staff Technical Support Staff Grad Students Faculty Profiles Groups and Labs CSS Tech. Reports PIMS Projects Theses SFU Research Matters General Info Courses Apply On-line Regulations Scholarships Handbook TA Day CSGSA Homepages Courses Admissions F.A.Q. Policies and Appeals Co-operative Program Program Changes Student Society Course Pages Instructional Labs Outlines TA Office Hours Registrar's Office Software Demos Schedules Gradebook AboutUs People Research Grad Undergrad Courses CMPT Home Search Andrei Bulatov Andrei A.Bulatov Constraint Satisfaction and Related Problems Algebraic and Logic Foundations of Constraint Problems Complexity of Constraint Problems Applications of Constraint Problems in Combinatorics Counting constraint satsisfaction problems and partition functions Satisfiability and Algorithms for Satisfiability Random Satisfiability Problem Analysis of Randomized Algorithms for SAT Professor of Computing Science email: abulatov@sfu.ca , phone: +1 778 782 6913, fax: +1 778 782 3045 Academic Degrees Ph.D. 1999, Mathematics, Ural State University , Russia M.Sc. (Diploma) 1995, Mathematics, Ural State University, Russia Laboratory Affiliations Algorithms & Theory Group , Computational Logic Laboratory Professional Service Graduate Students Recent Funding Selected Publications Teaching Back to Faculty Home Page School of Computing Science | Faculty of Applied Sciences | Simon Fraser University updated: November 10, 2002 | page layout: CSS | comments to: csweb@cs.sfu.ca diff --git a/src/data/compiled_bios/3111.txt b/src/data/compiled_bios/3111.txt new file mode 100644 index 0000000000..c144c293de --- /dev/null +++ b/src/data/compiled_bios/3111.txt @@ -0,0 +1 @@ + Contact: Email:sheelagh@sfu.ca Tel: 778-782-5415 Fax: 778-782-3045 Office: SFU Burnaby, TASC 1 9233 Web: : diff --git a/src/data/compiled_bios/3112.txt b/src/data/compiled_bios/3112.txt new file mode 100644 index 0000000000..18af2fb7a4 --- /dev/null +++ b/src/data/compiled_bios/3112.txt @@ -0,0 +1 @@ + MAIN MENU Leonid Chindelevitch Assistant Professor Simon Fraser University School of Computing Science Home Research Publications Programs Lab Members Contact Download CV Leonid Chindelevitch 2016 Scanning electron micrograph of Mycobacterium tuberculosis, the pathogen that causes TB(CDC). Biography My research interests lie primarily in the modeling of infectious diseases, both on the molecular level (using approaches from computational and systems biology) as well as on the population level (using approaches from epidemiology and biostatistics). I am particularlly interested in the interactions between science, medicine and policy as they relate to improving patient outcomes, especially in low-income, low-resource settings. I hold a PhD in Applied Mathematics from MIT and a BSc in Mathematics and Computer Science from McGill University . My doctoral work focused on metabolic models of tuberculosis (TB). I have been working in Ted Cohen's group since September 2012. I recently submitted a paper on a joint model of the TB and HIV epidemics in Southern Africa and I am currently working on identifying mixed TB infection in a population. Between my PhD and my postdoctoral fellowship I worked as a computational biologist at Pfizer , developing methods for interpreting gene expression, genetic and metabolomic data using a large network of known biological relationships . I also spent some time working at the Massachusetts General Hospital and the Clinton Health Access Initiative . News I am actively looking for excellent, highly motivated graduate students and postdoctoral fellows (see the ad on MathJobs ). If you are interested in working on any of these topics please send me an email! In February 2016 I was selected as an Alfred P. Sloan Research Fellow in Computational and Evolutionary Molecular Biology. See the announcement on the Simon Fraser University website . Q & A with Leonid Chindelevitch: Can computer models predict pandemics? Research As an applied mathematician I use a variety of mathematical methods to address one of today's most pressing problems: infectious disease epidemics. I am pursuing a cross-disciplinary approach to the study of infectious disease that incorporates computational biology, phylogenetics, epidemiology, and economic gametheory. Computational biology: analyzing metabolic networks, with applications to M.tuberculosis. My doctoral research involved the modeling of the metabolism of TB. I developed an algorithmic pipeline called MetaMerge which allowed me to reconcile differences in format, nomenclature, and annotation between two models of TB metabolism. MONGOOSE , another doctoral project of mine, is a tool for analyzing metabolic network models in exact arithmetic, resulting in consistent, reproduciblepredictions. Epidemiology: compartmental modeling of the tuberculosis-HIV/AIDS co-epidemic. As part of my postdoctoral research I developed a compartmental model that accounts for the joint natural history of TB and HIV. I calibrated this model to data available for South Africa and used it to investigate the effects of various interventions aimed at reducing the burden of these diseases in order to help policy-makers select the most impactful and cost-effective one among manyalternatives. Phylogenetics: analyzing prevalence and transmission patterns of mixed tuberculosisinfection. I am developing a method for elucidating the genetic forces at play in the TB epidemics in South Africa and South America by using the TB strains' MIRU-VNTR fingerprints. My method integrates uncertainties about the strain composition of a sample and the phylogenetic relationship between the strains into a robust algorithmic framework to identify patients with mixed infections or mutatingstrains. Economic game theory: modeling the alignment of incentives between public and privatesector. I am currently pursuing a collaboration examining the economic incentive structures for the interaction between public and private medical sectors in India. Using a principal-agent paradigm and incorporating the stochasticity of the health outcomes allows us to combine a population-level stochastic model of the course of an infectious disease epidemic with a game-theoretic model of dynamic contractnegotiation. Publications 2018 Speeding up Dualization in the Fredman-Khachiyan Algorithm B.( HTML ) NafisehSedaghat, TamonStephen, LeonidChindelevitch . Proceedings of the 17th International Symposium on Experimental Algorithms (SEA 2018) , Volume 6, pages 1-13 (2018) On the Rank-Distance Median of 3 Permutations.( HTML ) LeonidChindelevitch , Joo PauloPereira Zanetti and JooMeidanis. BMC Bioinformatics , Volume 19, Number 6, Page 43 (2018) Relatedness of the Incidence Decay with Exponential Adjustment (IDEA) Model, Farrs Law and Compartmental Difference Equation SIR Models.( HTML ) MauricioSantillana, AshleighTuite, TahminaNasserie, PaulFine, DavidChampredon, LeonidChindelevitch , JonathanDushoff, DavidFisman. Infectious Disease Modelling , Volume 3, Pages 1-12 (2018) MentaLiST - A fast MLST caller for large MLST schemes.( HTML ) PedroFeijo, Hua-TingYao, DanFornika, JenniferGardy, WilliamHsiao, CedricChauve, LeonidChindelevitch . Microbial Genomics , 10 January (2018) 2017 A standardised method for interpreting the association between mutations and phenotypic drug-resistance in Mycobacterium tuberculosis.( HTML ) Paolo Miotto, BelayTessema, ElisaTagliani, LeonidChindelevitch , [30 other authors], TimRodwell. European Respiratory Journal , 50(6) (2017) On the Rank-Distance Median of 3 Permutations.( HTML ) LeonidChindelevitch and JooMeidanis. Proceedings of RECOMB Comparative Genomics; Lecture Notes in Computer Science, Volume 10562, pp. 256-276 (2017) Polyclonal Pulmonary Tuberculosis Infections and Risk for Multidrug Resistance, Lima, Peru.( HTML ) RuvandhiNathavitharana, CynthiaShi, LeonidChindelevitch , RogerCalderon, ZibiaoZhang, JeromeGalea et al. Emerging Infectious Diseases , 23 (11) (2017) Eyes on Bhopal, Three Decades Later: Vision screening results in a cohort of Bhopal gas disaster survivors.( HTML ) PremnandhiniSatgunam, LeonidChindelevitch . Current Science , 112(10) (2017) 2016 Within-Host Heterogeneity of Mycobacterium tuberculosis Infection Is Associated With Poor Early Treatment Response: A Prospective Cohort Study( HTML ) TedCohen, LeonidChindelevitch , ReshmaMisra, MariaKempner, JeromeGalea et al. Journal of Infectious Diseases , 213 (11): 1796-1799 (2016) ClassTR: classifying within-host heterogeneity based on tandem repeats with application to Mycobacterium tuberculosis infections.( HTML ) LeonidChindelevitch , CarolineColijn, PrashiniMoodley, DouglasWilson, TedCohen. PLoS Computational Biology , 12(2):e1004475 (2016) 2015 "Do genome-scale models need exact solvers or clearer standards?"( HTML ) LeonidChindelevitch , JasonTrigg, AvivRegev, BonnieBerger. Molecular Systems Biology , 11(10):830(2015) Evaluating the potential impact of enhancing HIV treatment and tuberculosis control programmes on the burden of tuberculosis( HTML ) LeonidChindelevitch , NicolasMenzies, CarelPretorius, JohnStover, JoshuaSalomon, TedCohen. Journal of the Royal Society Interface , 12:106(2015) 2014 An exact arithmetic toolbox for a consistent and reproducible structural analysis of metabolic networkmodels( HTML ) LeonidChindelevitch , JasonTrigg, AvivRegev, BonnieBerger. Nature Communications , 5:4893(2014) Health benefits, costs, and cost-effectiveness of earlier eligibility for adult antiretroviral therapy and expanded treatment coverage: a combined analysis of 12 mathematicalmodels( HTML ) Jeffrey Eaton, Nicolas Menzies, John Stover, Valentina Cambiano, Leonid Chindelevitch etal. The Lancet Global Health , Volume 2, Issue 1, January 2014, Pages e23-e34 The potential effects of changing HIV treatment policy on TB outcomes in South Africa: results from three TB-HIV transmissionmodels( HTML ) Carel Pretorius, Nick Menzies, Leonid Chindelevitch , Ted Cohen, Anne Corietal. AIDS (2014) January Supplement (1) S25-34 2013 Optimizing a global alignment of protein interaction networks( HTML ) Chindelevitch, Leonid ; Ma, Cheng-Yu; Liao, Chung-Shou; Berger,Bonnie. Bioinformatics , Volume 29, Issue 21, 2013, Pages 2765-2773 2012 Causal reasoning on biological networks: interpreting transcriptional changes( HTML ) Chindelevitch, Leonid ; Ziemek, Daniel; Enayetallah, Ahmed; Randhawa, Ranjit; Sidders, Ben; Brockel,Christoph;Huang,EnochS. Bioinformatics , Volume 28, Issue 8, 2012, Pages 1114-1121 MetaMerge: scaling up genome-scale metabolic reconstructions with application to Mycobacterium tuberculosis( PDF ) Chindelevitch, Leonid ; Stanley, Sarah; Hung, Deborah; Regev, Aviv; Berger, Bonnie. Genome Biology , Volume 3, Issue 1, 2012, Page R6 Assessing statistical significance in causal graphs( HTML ) Chindelevitch, Leonid ; Loh, Po-Ru; Enayetallah, Ahmed; Berger, Bonnie; Ziemek, Daniel. BMC Bioinformatics , Volume 3, Issue 1, 2012, Page 35 Correlation set analysis: detecting active regulators in disease populations using prior causalknowledge( HTML ) Huang, Chia-Ling; Lamb, John; Chindelevitch, Leonid ; Kostrowicki, Jarek; Guinney, Justin; DeLisi, Charles; Ziemek, Daniel. BMC Bioinformatics , Volume 3, Issue 1, 2012, Page 46 2011 Causal reasoning on biological networks: Interpreting transcriptional changes( PDF ) Chindelevitch, Leonid ; Ziemek, Daniel; Enayetallah, Ahmed; Randhawa, Ranjit; Sidders, Ben; Brockel, Christoph; Huang,Enoch. Research in Computational Molecular Biology , 2011, Pages 34-37 Metabolic network analysis demystified( PDF ) Chindelevitch, Leonid ; Regev, Aviv; Berger, Bonnie. Research in Computational Molecular Biology , 2011, Pages 31-33 2010 Local optimization for global alignment of protein interaction networks( PDF ) Chindelevitch, Leonid ; Liao, Chung-Shou; Berger, Bonnie. Pacific Symposium on Biocomputing , Volume 15, 2010, Pages 123-132 2008 Inverting the Viterbi algorithm: an abstract framework for structure design( PDF ) Schnall-Levin, Michael; Chindelevitch, Leonid ; Berger, Bonnie. Proceedings of the 25th International Conference on Machine Learning , 2008, Pages 904-911 2007 Error analysis and preconditioning for an enhanced DtN-FE algorithm for exterior scattering problems( HTML ) Chindelevitch, Leonid ; Nicholls, David P; Nigam, Nilima. Journal of Computational and Applied Mathematics , Volume 2004, Issue 2, 2007, Pages 493-504 2006 On the inference of parsimonious indel evolutionary scenarios( HTML ) Chindelevitch, Leonid ; Li, Zhentao; Blais, Eric; Blanchette, Mathieu. Journal of Bioinformatics And Computational Biology , Volume 4, Issue 3, 2006, Pages 721-744 Programs MetaMerge: combining and reconciling metabolic network model reconstructions MetaMerge is a package for combining different metabolic network models of the same organism by reconciling the differences in annotation, coverage and model specification. We successfully used it to combine two existing metabolic models of TB. MetaMerge is available for download at genomebiology.com . MONGOOSE: exact arithmetic-based analysis of metabolic network models MONGOOSE (MetabOlic Network GrOwth Optimization Solved Exactly) is a package for structural analysis and refinement of constraint-based metabolic networks. Unlike other existing software, MONGOOSE uses exact rational arithmetic, which makes its results certifiably accurate. MONGOOSE is available for download at mongoose.csail.mit.edu . ClassTR: classifying complex TB infections ClassTR is a program that takes microsatellite (molecular fingerprinting) data of a collection of TB strains and for each strain containing loci with more than one variant, determines whether it's more likely to be the result of microevolution within the host or multiple infections. ClassTR is available for download as an R package at PLoS Computational Biology . MongooseGUI: graphical user interface for MONGOOSE. MONGOOSE (MetabOlic Network GrOwth Optimization Solved Exactly) is a package for structural analysis and refinement of constraint-based metabolic networks. Unlike other existing software, MONGOOSE uses exact rational arithmetic, which makes its results certifiably accurate. MongooseGUI is available for download on GitHub . TreeCentrality: computes tree shape statistics. TreeCentrality is a package for computing network science statistics on (rooted or unrooted) phylogenetic trees in linear time and space. In addition, this package can compute the spectra of the adjacency, Laplacian, and distance matrices as well as a number of classical topology statistics. TreeCentrality is available for download on GitHub . MentaLiST: finds MLST types from WGS data MentaLiST is a fast MLST caller for large MLST schemes. MLST (multi-locus sequence typing) is a classic technique for genotyping bacteria, widely applied for pathogen outbreak surveillance. MentaLiST is based on a k-mer counting algorithm and written in the Julia language, specifically designed and implemented to handle large typing schemes. MentaLiST is available for download on GitHub . StackTB - classifier of TB lineages. StackTB - A novel method for predicting the lineage of a tuberculosis strain from its copy number variants from MIRU-VNTR data. StackTB is a machine learning-based method that outperforms the current state-of-the-art tools despite using a substantially smaller training dataset. StackTB is available for download via Web interface DivMLST - detects MLST diversity from WGS data. DivMLST is a cubic algorithm for the generalized rank median of three genomes. This package deconvolutes the Diversity of Within-host Pathogen Strain in a MLST Framework. DivMLST is available for download at github MLST . PRINCE - computes copy numbers from WGS data. PRINCE is a Machiavellian Approach for Tandem Repeat Copy Number Approximation. PRINCE estimates Variable Number Tandem Repeats (VNTR) copy number from raw next generation sequencing (NGS) data. PRINCE is available for download at github PythonPRINCE . Lab Members Our lab is a friendly, dynamic group of people, ranging from first-year undergraduates to senior postdocs. We have biweekly meetings and regular social events. Please email me (leonid@sfu.ca) if you are interested in joining our lab! Pedro Feijo Postdoctoral fellow Maryam Hayati PhD student Nafiseh Sedaghat PhD student Hooman Zabeti PhD student Omar Castillo PhD student, U. Bielefeld Nicole Althermeler PhD student, U. Bielefeld Guo Liang Gan MSc student Mohsen Katebi MSc student Reza Mirsaskarshahi MSc student Jianwei Li MSc student Julius Booth MSc student Alex Sweeten MSc student Rita Vityaz MSc student Parham Ghasemloo Undergraduate student, Sharif U. Sriram Prithvi Undergraduate student, IIT Brian Lee Undergraduate student Sean La Undergraduate student Elijah Willie Undergraduate student Matthew Nguyen Undergraduate student Former Lab Members Nithum Thain Postdoctoral Fellow Now: Google Research Fellow Fang Zhang MSc student Ali Pazoki MSc student Now: PhD student at UCLA Alice Yue MSc student Now: PhD student at SFU Etienne Lasalle Undergraduate student Now: student at ENS-Cachan Hua-Ting Yao Undergraduate student Now: student at Polytechnique Christopher Le Undergraduate student Now: student at SFU Emre Erhan Undergraduate student Now: MSc student at UBC Jack Seary Undergraduate student Now: Software Developer Nathan Nastili Undergraduate student Now: Graduate Student at Cornell Abby Leung Undergraduate student Now: student at McGill Joseph Lucero Undergraduate student Now: student at SFU Contact TASC 1 9425 8888 University Drive, Burnaby, BC, V5A 1S6 leonid@sfu.ca +1 (778) 782-4973 Office Location: diff --git a/src/data/compiled_bios/3113.txt b/src/data/compiled_bios/3113.txt new file mode 100644 index 0000000000..0fe8e1bdbe --- /dev/null +++ b/src/data/compiled_bios/3113.txt @@ -0,0 +1 @@ + Education Ph.D., Computing Science, Simon Fraser University, Canada, 2003 M.Sc., Computing Science, Simon Fraser University, Canada, 1994 Engineer of Computational Systems, Universidad de la Republica, Uruguay, 1989 Research Interests Computing Science Education Learning strategies tailored to CS and STEM disciplines (see Academic Enhancement Program ) Pedagogy, active learning, communication skills Artificial Intelligence Teaching Interests Introductory programming Introductory computer architecture Discrete math Artificial Intelligence Computing Science and Ethics : diff --git a/src/data/compiled_bios/3114.txt b/src/data/compiled_bios/3114.txt new file mode 100644 index 0000000000..25c96e4103 --- /dev/null +++ b/src/data/compiled_bios/3114.txt @@ -0,0 +1 @@ + James P. Delgrande Knowledge Representation and Reasoning School of Computing Science Simon Fraser University 8888 University Drive Burnaby, BC, V5A 1S6, Canada Phone: +1 778-782-4335 Fax: +1 778-782-3045 Email: jim < at > cs < dot > sfu < dot > ca Research Interests Knowledge Representation and Reasoning Belief Change Reasoning about Action and Change Nonmonotonic Reasoning Preference Handling Prospective Graduate Students Laboratory Affiliations: Computational Logic Laboratory Selected Publications Recent Activities Associate Editor: Artificial Intelligence Journal (AIJ), Jan 1, 2013 -- Dec 31, 2020 Journal of Artificial Intelligence Research (JAIR), July 1, 2010 -- June 30, 2016 Editorial Board: Journal of Philosophical Logic , May 1, 2008 -- present Program Chair: KR 2016 Program Co-Chair (with Frank Wolter) IJCAI 2015 KR Track (with Fangzhen Lin) Recent Program Committees: IJCAI, AAAI, ECAI, KR, NMR, M-PREF, JELIA, FoIKS, etc. Quote of the Moment: ME, pro. The objectionable case of I. The personal pronoun in English has three cases, the dominative, the objectionable and the oppressive. Each is all three. -- Ambrose Bierce, The Devil's Dictionary Faculty Page | CS Home Page diff --git a/src/data/compiled_bios/3115.txt b/src/data/compiled_bios/3115.txt new file mode 100644 index 0000000000..d2124c8bd3 --- /dev/null +++ b/src/data/compiled_bios/3115.txt @@ -0,0 +1 @@ + Education Ph.D. Computer Science, University of Waterloo, Canada, 1998 M.Math,University of Waterloo, Canada, 1994 B.Sc. Simon Fraser University, Canada, 1992 Recently taught courses CMPT 118 Special Topics in Computer and Information Technology CMPT 120 Introduction to Computing Science and Programming 1 CMPT 125 Introduction to Computing Science and Programming 11 CMPT 170 Introduction to Web Application Development CMPT 275 Software Engineering 1 : diff --git a/src/data/compiled_bios/3116.txt b/src/data/compiled_bios/3116.txt new file mode 100644 index 0000000000..06cb77edf1 --- /dev/null +++ b/src/data/compiled_bios/3116.txt @@ -0,0 +1 @@ + Education M.Sc., Computing Sciences, Simon Fraser University, Canada, 1999 Qualified as a member of the Institute of Chartered Accountants of England and Wales, 1988 B.Sc., Psychology, University College London, UK, 1984 Teaching interests Introductory Computing Science and Programming Data Structures and Algorithms Database Systems Research interests Algorithm animations, designing (and playing) games. : diff --git a/src/data/compiled_bios/3117.txt b/src/data/compiled_bios/3117.txt new file mode 100644 index 0000000000..9db70dee91 --- /dev/null +++ b/src/data/compiled_bios/3117.txt @@ -0,0 +1 @@ + Education Ph.D. Computer Science, Swiss Federal Institute of Technology, Zurich, 1990 Diploma (M.Sc.) in Computer Science, University of Dortmund, 1984 Research interests Social network analysis Recommender systems Opinion mining and information extraction Biological network analysis Next-gen sequencing Teaching interests Database systems Data mining : diff --git a/src/data/compiled_bios/3118.txt b/src/data/compiled_bios/3118.txt new file mode 100644 index 0000000000..744497af59 --- /dev/null +++ b/src/data/compiled_bios/3118.txt @@ -0,0 +1 @@ + Education Ph.D. Computing Science, Simon Fraser University, Canada, 2009 B.Sc. Computing Science, Simon Fraser University, Canada 2002 Teaching interests Software engineering, including development methods, object-oriented design, and programming languages Embedded systems : diff --git a/src/data/compiled_bios/3119.txt b/src/data/compiled_bios/3119.txt new file mode 100644 index 0000000000..829b5144b6 --- /dev/null +++ b/src/data/compiled_bios/3119.txt @@ -0,0 +1 @@ + Yasutaka Furukawa Assistant Professor GrUVi Lab , VML Lab Simon Fraser University Email: furukawa-atmark-sfu.ca Office: TASC I 8023 Phone: 778-782-4619 Fax: 778-782-3045 Mail address: click here Raster-to-Vector: Revisiting Floorplan Transformation Campus-wide Indoor Mapping Deep Multi-Modal Image Correspondence Learning Turning an Urban Scene Video into a Cinemagraph Structured Indoor Modeling Photo Uncrop Piecewise Planar and Compact Floorplan Reconstruction from Images Reconstructing the World's Museums Previous Next Bio ( CV , Google scholar ) I am an assistant professor of Computing Science at Simon Fraser University. Prior to SFU, I was an assistant professor at Washington University in St. Louis. Before WUSTL, I was a software engineer at Google. Before Google, I was a post-doctoral research associate at University of Washington . I worked with Prof. Seitz and Prof. Curless at University of Washington , and Rick Szeliski at Facebook (was at Microsoft Research). I completed my Ph.D. under the supervision of Prof. Ponce at Computer Science Department of University of Illinois at Urbana-Champaign in May 2008. SFU Visual Computing Groups ( Ranked 11th in the world in Computer Vision and Graphics as of 2018.11) Greg Mori Ping Tan Manolis Savva Angel Chang Mark Drew Ze-Nian Li KangKang Yin Richard Zhang Eugene Fiume How to join my group? I am recruiting graduate students and postdocs. Please drop me an email with your resume/CV. Unfortunately, I am likely unable to reply to individual inquiries due to the volume. Financial supporters Recent Projects News Research grant from Lianjia (Ke finance) Aitutorial talk at Peking University 2018/12/12. SFU Visual Computing Workshop 2018/08/10. DND/NSERC Supplement Grants (2018.8 - 2021.7) NSERC DAS Grants (2018.4 - 2021.3) NSERC Discovery Grants (2018.4 - 2023.3) CS-CAN, Outstanding Young CS Researcher Award (2018) Google Research Awards (2018, 2017, and 2016) Gift funding from Renoworks (2018) Gift funding from Zillow (2018) Talk at MSR Redmond on 1/24, 2018. Talks at IROS (9/28) , Tsinghua (10/12), MSRA (10/12), ICCV (10/28) . Moved to Simon Fraser University in Vancouver Canada. Program co-chair for 3DV 2017. Area chair for CVPR 2018, CVPR 2017, ICCV 2019, 2017. CORE3D award from IARPA (2017.2). Editorial Board for IJCV. PMVS for 2000-year-old skull or saving wild animals. Received an NSF grant (RI:small, PI: Furukawa), 2016. Received SEAS Collaboration Initiation Grant. Microsoft Azure Research Award. Associate editor for Image and Vision Computing. Received NSF CAREER Award (starting Feb 2015). Associate editor for Computer Vision and Image Understanding . Projects PlaneRCNN: 3D Plane Detection and Reconstruction from a Single Image Chen Liu, Kihwan Kim, Jinwei Gu, Yasutaka Furukawa, Jan Kautz arXiv:1812.04072 Neural Procedural Reconstruction for Residential Buildings Huayi Zeng, Jiaye Wu, and Yasutaka Furukawa ECCV 2018 Video. Website coming soon with code/data. FloorNet: A Unified Framework for Floorplan Reconstruction from 3D Scans Chen Liu*, Jiaye Yu*, and Yasutaka Furukawa (* indicates equal contribution) ECCV 2018 Video. Project website RIDI: Robust IMU Double Integration Hang Yan, Qi Shan, and Yasutaka Furukawa ECCV 2018 Video Project website Polarimetric Dense Monocular SLAM Luwei Yang, Feiton Tan, Ao Li, Zhaopeng Cui, Yasutaka Furukawa, and Ping Tan. CVPR 2018 (oral). Supplementary material. PlaneNet: Piece-wise Planar Reconstruction from a Single RGB Image Chen Liu, Jimei Yang, Duygu Ceylan, Ersin Yumer, and Yasutaka Furukawa CVPR 2018 (spotlight). Project website Supplementary material. Raster-to-Vector: Revisiting Floorplan Transformation Chen Liu, Jiajun Wu, Pushmeet Kohli, and Yasutaka Furukawa ICCV 2017. Video . Supplementary material. A project website. Code and data. Exploiting 2D Floorplan for Building-scale Panorama RGBD Alignment Erik Wijmans and Yasutaka Furukawa CVPR 2017 Arxiv:1612.02859. Project page. Video. Video highlight. Deep Multi-Modal Image Correspondence Learning Chen Liu, Jiajun Wu, Pushmeet Kohli, and Yasutaka Furukawa arXiv:1612.01225. Video. Turning an Urban Scene Video into a Cinemagraph Hang Yan, Yebin Liu, and Yasutaka Furukawa CVPR 2017 arXiv:1612.01235. Video. Panoramic Structure from Motion via Geometric Relationship Detection Satoshi Ikehata, Ivaylo Boyadzhiev, Qi Shan, and Yasutaka Furukawa arXiv:1612.01256. Video. Multi-way Particle Swarm Fusion Chen Liu, Hang Yan, Pushmeet Kohli, and Yasutaka Furukawa arXiv:1612.01234. Layered Scene Decomposition via the Occlusion-CRF Chen Liu, Pushmeet Kohli, and Yasutaka Furukawa CVPR 2016 (spotlight). Video. Code. Supplementary material. Structured Indoor Modeling Satoshi Ikehata, Hang Yan, and Yasutaka Furukawa ICCV 2015 (oral). Project website Multi-View Stereo: A Tutorial Yasutaka Furukawa and Carlos Hernandez Foundations and Trends in Computer Graphics and Vision, 2015. Accurate Geo-registration by Ground-to-Aerial Image Matching Qi Shan, Changchang Wu, Brian Curless, Yasutaka Furukawa, Carlos Hernandez, and Steven M. Seitz 3DV 2014 (oral). Project website. Photo Uncrop Qi Shan, Brian Curless, Yasutaka Furukawa, Carlos Hernandez, and Steven M. Seitz ECCV 2014. Project website. Piecewise Planar and Compact Floorplan Reconstruction from Images Ricardo Cabral and Yasutaka Furukawa CVPR 2014. Video. Supplementary material. Occluding Contours for Multi-View Stereo Qi Shan, Brian Curless, Yasutaka Furukawa, Carlos Hernandez, and Steven M. Seitz CVPR 2014. A project website with more contents. The Visual Turing Test for Scene Reconstruction - ( supplementary document ) Qi Shan, Riley Adams, Brian Curless, Yasutaka Furukawa, and Steven M. Seitz 3DV 2013 (oral). Best Paper Award. A project website with more contents. Reconstructing the World's Museums Jianxiong Xiao and Yasutaka Furukawa IJCV 2014. Reconstructing the World's Museums - ( supplementary document ) Jianxiong Xiao and Yasutaka Furukawa ECCV 2012 (oral). Best Student Paper Award. Selected as a 2012 excellent paper by Google Research. Google Maps - Photo Tours , April, 2012 Designed and implemented a pipeline to compute scene geometries for rendering and "3D Ken Burns" motions. Examples (a few clicks away). Photo Tours Avanish Kushal, Ben Self, Yasutaka Furukawa, David Gallup, Carlos Hernandez, Brian Curless, and Steve Seitz 3DimPVT 2012 (oral). MapsGL (Next generation Google Map) , October, 2011 Designed and implemented a city-scale dense 3D reconstruction pipeline from aerial images, running in an unprecedented scale for hundreds of cities all over the world. Building Rome in a Day Sameer Agarwal, Yasutaka Furukawa, Noah Snavely, Brian Curless, Steven M. Seitz and Richard Szeliski Communications of the ACM, Vol. 54, No. 14, Pages 105-112, October 2011. Building Rome Sameer Agarwal, Yasutaka Furukawa, Noah Snavely, Brian Curless, Steven M. Seitz and Richard Szeliski IEEE Computer Society, June 2010. Towards Internet-scale Multi-view Stereo ( supplementary material ) Yasutaka Furukawa, Brian Curless, Steven M. Seitz and Richard Szeliski CVPR 2010. CMVS software available! Project website coming soon. Reconstructing Building Interiors from Images Yasutaka Furukawa, Brian Curless, Steven M. Seitz and Richard Szeliski ICCV 2009 (oral). Project website Dense 3D Motion Capture for Human Faces Yasutaka Furukawa and Jean Ponce CVPR 2009. Manhattan-world Stereo Yasutaka Furukawa, Brian Curless, Steven M. Seitz and Richard Szeliski CVPR 2009. Movie Dense 3D Motion Capture from Synchronized Video Streams Yasutaka Furukawa and Jean Ponce CVPR 2008. (oral) Dense Patch Models for Motion Capture from Synchronized Video Streams Yasutaka Furukawa and Jean Ponce -- Willow Tech. Report 02-07 Accurate Camera Calibration from Multi-View Stereo and Bundle Adjustment Yasutaka Furukawa and Jean Ponce IJCV, 2009. Accurate Camera Calibration from Multi-View Stereo and Bundle Adjustment Yasutaka Furukawa and Jean Ponce CVPR 2008. Accurate, Dense, and Robust Multi-View Stereopsis Yasutaka Furukawa and Jean Ponce PAMI, August 2010. Accurate, Dense, and Robust Multi-View Stereopsis Yasutaka Furukawa and Jean Ponce CVPR 2007. Carved Visual Hulls for Image-Based Modeling Yasutaka Furukawa and Jean Ponce IJCV, March 2008 Special Issue: Best of the European Conference on Computer Vision 2006 Carved Visual Hulls for Image-Based Modeling Yasutaka Furukawa and Jean Ponce ECCV 2006. (oral) Projective Visual Hulls IJCV, August 2007 Svetlana Lazebnik, Yasutaka Furukawa and Jean Ponce Robust Structure and Motion from Outlines of Smooth Curved Surfaces Yasutaka Furukawa, Amit Sethi, Jean Ponce, and David Kriegman. PAMI, February 2006 (Vol. 28, No. 2) pp.302-315 Structure and Motion from Images of Smooth Textureless Objects Yasutaka Furukawa, Amit Sethi, Jean Ponce, and David Kriegman. ECCV 2004. Accurate and Robust Line Segment Extraction by Analyzing Distribution around Peaks in Hough Space Yasutaka Furukawa and Yoshihisa Shinagawa Computer Vision and Image Understanding Volume 92, Issue 1, Pages 1-25 (October 2003) Members Chen Liu (WUSTL graduate) Hang Yan (WUSTL graduate) Huayi Zeng (WUSTL graduate) Sachini Herath (SFU graduate) Nelson Nauata (SFU graduate) Charlie Wu (WUSTL undergraduate) Jiacheng Chen (SFU undergraduate) Adam Patrick (Fulbright scholar) Mahsa Abyaneh (SFU graduate) Hirokazu Iida (visiting graduate) At CVPR 2018, Salt Lake City. Past members Leo Li, now at University of Toronto as a graduate student (SFU undergraduate) Erik Wijmans, now at Georgia Tech as a graduate student (undergraduate) Patrick Sullivan, at Boeing (Master) Jeanine Burke, now at Microsoft as software developper (undergraduate) Xinyi Gong, now at Amazon as software engineer (undergraduate) Satoshi Ikehata , now at National Institute of Informatics (postdoc) Moniqua Guo, now at Google (undergraduate) Brian Choi, now at Google (Master) Teaching Visual Computing Seminar: Fall 2018 CMPT822(7XX) Computer Vision: Fall 2018 CMPT469-888 Computational Photography: Winter 2018 Graphics and Vision seminar, Spring 2017 CSE559 Computer Vision: Fall 2016, Spring 2015, Fall 2013 ARCH529 New Vision: Designing for New Tools: Spring 2016, Spring 2015 CSE452 Computer Graphics: Spring 2016, Spring 2014 Resources PMVS & CMVS CVPR 2014 tutorial slides - State of the Art 3D Reconstruction Techniques. [ Introduction ] [ MVS with priors ] [ Large scale MVS ] CVPR 2010 Tutorial on 3D shape Reconstruction from Photographs: a Multi-View Stereo Approach. diff --git a/src/data/compiled_bios/312.txt b/src/data/compiled_bios/312.txt new file mode 100644 index 0000000000..e1b0ea662e --- /dev/null +++ b/src/data/compiled_bios/312.txt @@ -0,0 +1 @@ + Jacob Sorber Associate Professor Dean's Professor of Computer Science School of Computing Clemson University jsorber .please.no.spam @ .no.spam clemson.edu News (9/2017) Three papers accepted to ACM SenSys 2017 . (4/2017) Josiah Hester (my student) joined the EECS faculty at Northwestern as an Assistant Professor in 2017. Congrats, Josiah. (10/2016) Auracle project funded by NSF. (10/2016) Amulet project funding extended by NSF for two more years. (7/2016) Amulet paper accepted to ACM SenSys 2016 . (2/2016) Josiah Hester received the School of Computing's Outstanding CS PhD Student Award . (11/2015) Nicole Tobias won best poster at ACM SenSys 2015 . (09/2015) NSF funds our self-powered pipeline monitoring work. About Me I'm an Associate Professor in the School of Computing at Clemson University where I teach Computer Science and lead the PERSIST Research Lab . I am always looking for smart, motivated students , but please read this first. [My CV] [My Academic Geneology] [YouTube] Where I post videos, some of which are related to my classes and research. My Research My work makes embedded systems , mobile sensors , wearables , and other small computational things smaller, more efficient, lower cost, longer-lasting, and easier to deploy. My students and I develop and deploy new hardware and software technologies, tools, and abstractions that help embedded devices adapt to changing conditions, recover from frequent power failures, and operate maintenance-free for decades. Projects: System Support for Batteryless Sensors( federated energy storage , Ekho , and Mementos ), wearable security and privacy (Amulet) , Perpetual Systems ( Tula , Eon ), and Hierarchical Power Management ( Turducken , Triage ). Refereed Papers Application Memory Isolation on Ultra-Low-Power MCUs T. Hardin, R. Scott, P. Proctor, J. Hester, J. Sorber, D. Kotz USENIXATC2018 [PDF] Flicker: Rapid Prototyping for the Batteryless Internet-of-Things J. Hester, J. Sorber SenSys2017 [PDF] Timely Execution on Intermittently Powered Batteryless Sensors J. Hester, K. Storer, J. Sorber SenSys2017 [PDF] The Future of Sensing is Batteryless, Intermittent, and Awesome J. Hester, J. Sorber SenSys2017 (New Directions Paper) [PDF] Toward a Wearable Sensor for Eating Detection S. Bi, T. Wang, E. Davenport, R. Peterson, R. Halter, J. Sorber, D. Kotz WearSys2017 [PDF] Sustainable Leakage Monitoring Systems for Water Distribution Pipeline Networks S. Yazdekhasti, K. R. Piratla, J. Sorber 2017 ASCE Pipelines Conferences, Phoenix, AZ Realistic and Repeatable Emulation of Energy Harvesting Environments J. Hester, L. Sitanayah, T. Scott, J. Sorber ACM Transactions on Sensor Networks (TOSN), Vol. 13, Issue 2, Apr. 2017 [PDF] Shoulder Angel: An Open Platform for Reprogramming Wayward Wireless Sensors N. Tobias, C. Bolton, J. Hester, L. Sitanayah, J. Sorber IEEE Embedded Systems Letters, Vol. 8, Issue 4, Dec. 2016 [PDF] Amulet: An Energy-Efficient, Multi-Application Wearable Platform J. Hester, T. Peters, T. Yun, R. Peterson, J. Skinner, B. Golla, K. Storer, S. Hearndon, K. Freeman, S. Lord, R. Halter, D. Kotz, J. Sorber SenSys2016 [PDF] Realistic Simulation for Tiny Batteryless Sensors M. Furlong, J. Hester, K. Storer, J. Sorber ENSSys2016 [PDF] Towards A Language and Runtime for Intermittently Powered Devices J. Hester, K. Storer, L Sitanayah, J. Sorber Workshop on Hilariously Low-Power Computing (HLPC2016) Persistent Clocks for Batteryless Sensing Devices J. Hester, N. Tobias, A. Rahmati, L. Sitanayah, D. Holcomb, K. Fu, W. P. Burleson, J. Sorber Transactions on Embedded Computing Systems(TECS), Vol. 15, Issue 4, August 2016 [PDF] Tragedy of the Coulombs: Federating Energy Storage for Tiny, Intermittently-Powered Sensors J. Hester, L. Sitanayah, J. Sorber SenSys2015 [PDF] Ekho: Realistic and Repeatable Experimentation for Tiny Energy-Harvesting Sensors J. Hester, T. Scott, J. Sorber SenSys2014, Best Paper Award [PDF] Hide-n-Sense: Preserving Privacy Efficiently in Wireless mHealth S. Mare, J. Sorber, M. Shin, C. Cornelius, D. Kotz Mobile Networks and Applications(MONET), Special issue of Wireless Technology for Pervasive Healthcare, Volume 19, Issue 3, pp331344, June 2014, 2014 Springer-Verlag Current Events: Identifying Webpages by Tapping the Electrical Outlet S. Clark, H. Mustafa, B. Ransford, J. Sorber, K. Fu, W. Xu ESORICS2013 WattsUpDoc: Power Side Channels to Nonintrusively Discover Untargeted Malware on Embedded Medical Devices S. Clark, B. Ransford, A. Rahmati, S. Guineau, J. Sorber, W. Xu, K. Fu HealthTech2013 Tula: Balancing Energy for Sensing and Communication in a Perpetual Mobile System J. Sorber, A. Balasubramanian, M. D. Corner, J. Ennen, C. Qualls IEEE TMC, Vol. 12, Issue 4, April 2013 [PDF] Provenance framework for mHealth A. Prasad, R. Peterson, S. Mare, J. Sorber, K. Paul, D. Kotz NetHealth 2013 TARDIS: Time and Remanence Decay in SRAM to Implement Secure Protocols on Embeded Devices without Clocks. A. Rahmati, M. Salajegheh, D. Holcomb, J. Sorber, W. P. Burleson, K. Fu USENIX Security Symposium 2012 Plug-n-Trust: Practical trusted sensing for mHealth J. Sorber, M. Shin, R. Peterson, D. Kotz MobiSys2012 An Amulet for trustworthy wearable mHealth J. Sorber, M. Shin, R. Peterson, C. Cornelius, S. Mare, A. Prasad, Z. Marois, E. Smithayer, D. Kotz HotMobile2012 [PDF] Ekho: Bridging the Gap Between Simulation and Reality in Tiny Energy-Harvesting Sensors H. Zhang, M. Salajegheh, K. Fu, J. Sorber HotPower2011 [PDF] Adaptive security and privacy for mHealth sensing S. Mare, J. Sorber, M. Shin, C. Cornelius, D. Kotz HealthSec2011,Short paper Exposing privacy concerns in mHealth A. Prasad, J. Sorber, T. Stablein, D. Anthony, D. Kotz HealthSec2011,Position paper Mementos: System Support for Long-Running Computation on RFID-Scale Devices B. Ransford, J. Sorber, K. Fu. ASPLOS2011,https://github.com/ransford/mementos [PDF] Eon: A Language and Runtime System for Perpetual Systems. J. Sorber, A. Kostadinov, M. Garber, M. Brennan, M. D. Corner, E.D. Berger SenSys 2007 [PDF] [Slides] Triage: Balancing Energy Consumption and Quality of Service in Tiered Microservers N. Banerjee, J. Sorber, M. D. Corner, S. Rollins, D. Ganesan MobiSys 2007 [PDF] Turducken: Hierarchical Power Management for Mobile Devices J. Sorber, N. Banerjee, M. D. Corner, S. Rollins MobiSys 2005 [PDF] [Slides] Parallel search for LTL violations M. D. Jones, J. Sorber STTT, Vol. 7, Issue 1, Feb 2005 [PDF] Teaching CPSC/ECE 3220: Operating Systems. Fall 2014Spring 2019. CPSC 8550: Embedded Networked Systems (Graduate). Fall 2018 CPSC 4820/6820: Embedded Systems Prototyping. 20162017 CPSC 3600: Networks and Networked Programming. Spring 2014. CPSC 2150: Software Development Foundations. Spring, Fall 2013. CPSC 8810: Mobile Computing Systems. Fall 2012. CS 37: Computer Architecture. Summer 2011. (Dartmouth) Awards Dean's Professor of Computer Science , Clemson University, 2016 Best Poster , SenSys 2015, Seoul, Korea. NSF CAREER Award , 2015. Best Paper , SenSys 2014, Memphis, TN. Best Poster , Secon 2013, New Orleans, LA. Best Presentation , Ph.D. Forum, MobiSys 2008, Breckenridge, CO. Outreach R. C. Edwards Middle School I teach an embedded electronics and programming mini-course to 7th and 8th-grade students, who don't yet know that embedded computing is supposed to be hard. So far, my young friends and I have created rhythmic light shows, smart flashlights, heart-rate monitoring programs, and galvanic skin response(GSR)-based "lie detectors" (and they learn that lie detectors don't actually detect lying). diff --git a/src/data/compiled_bios/3120.txt b/src/data/compiled_bios/3120.txt new file mode 100644 index 0000000000..37feeaf857 --- /dev/null +++ b/src/data/compiled_bios/3120.txt @@ -0,0 +1 @@ + Software Technology Everything is vague to a degree you do not realize till you have tried to make it precise, and everything precise is so remote from everything that we normally think, that you cannot for a moment suppose that is what we really mean when we say what we think. Bertrand Russell, The Philosophy of Logical Atomism (1918) Uwe Glsser, Professor, Computing Science , SFU, BC, Canada Habilitation 1999, Doctorate 1992, Diploma 1987 in Computer Science, Department of Mathematics and Computer Science, Paderborn University , Germany Research Formal engineering methods and system design languages Analytic algorithms and intelligent systems for situation analysis Applications in Cybersecurity, Maritime security and Crime data analysis Principle investigator and founder of the Software Technology Lab and the Public Safety and Security HPC Lab at SFU Supervision Tilemachos Charalampous, Master's student Amir Yaghoubi Shahir, Doctoral student Zahra Zohrevand, Doctoral student Mohamad A Tayebi, Postdoctortal research fellow Teaching CMPT 318 Special Topics in Computing Science: Cybersecurity Summer 2017, Spring 2018, Fall 2018 Selected Publications Zohrevand Z, Glsser U, Tayebi MA, Yaghoubi Shahir H, Shirmaleki M, and Yaghoubi Shahir A. Deep-learning based forecasting of critical infrastructure data. 26th ACM International Conference on Information and Knowledge Management , Singapore, 11291138 (2017). doi :10.1145/3132847.3133031 Tayebi MA and Glsser U. Social network analysis in predictive policing: Concepts, models and methods. Lecture Notes in Social Networks (LNSN) , Springer, 2016. doi :10.1007/978-3-319-41492-8 Tayebi MA, Glsser U, Ester M, and Brantingham PL. Personalized crime location prediction. European Journal of Applied Mathematics (EJAM) , The Mathematics of Crime and Security, 27(3), 4224450, Cambridge University Press (2016). doi :10.1017/S0956792516000140 Zohrevand Z, Glsser U, Yaghoubi Shahir H, Tayebi MA, and Costanzo R. Hidden Markov based anomaly detection for water supply systems. 2016 IEEE International Conference on Big Data , Washington, DC, USA, 155141560 (2016). doi :10.1109/BigData.2016.7840763 Yaghoubi Shahir H, Glsser U, Yaghoubi Shahir A, and Wehn H. Maritime situation analysis framework: Vessel interaction classification and anomaly detection. 2015 IEEE International Conference on Big Data , Santa Clara, CA, USA (2015). doi :10.1109/BigData.2015.7363883 Farahbod R, Gervasi V, Glsser U. Executable formal specifications of complex distributed systems with CoreASM. Science of Computer Programming , Elsevier, 79(1), 2338 (2014). doi :10.1016/j.scico.2012.02.001 Tayebi MA, Ester E, Glsser U, and Brantingham PL. Spatially embedded co-offence prediction using supervised learning. 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining , NYC, USA, 178998 (2014). doi :10.1145/2623330.2623353 diff --git a/src/data/compiled_bios/3121.txt b/src/data/compiled_bios/3121.txt new file mode 100644 index 0000000000..4980cbf47f --- /dev/null +++ b/src/data/compiled_bios/3121.txt @@ -0,0 +1 @@ + Mohamed Hefeeda Professor Associate Director for Research Director of Masters Program in Big Data E-mail: mhefeeda AT cs DOT sfu DOT ca Phone: (778) 782 - 4095 Office: TASC1 - 9221 Address: School of Computing Science Simon Fraser University 8888 University Drive Burnaby, BC Canada V5A 1S6 I am a professor in the School of Computing Science at Simon Fraser University . My current research interests include: Multimedia networking Mobile and wireless video streaming Immersive video processing and delivery Cloud-supported multimedia systems I lead the Network Systems Lab . More information on the projects that my students and I are currently working on is posted on our lab web page . Research Publications Teaching Service Short Bio Awards To Prospective Students: I have open PhD positions in my research group. Please visit this page for more info. Awards and Honors Best Paper Award from the ACM Multimedia Systems Conference, March 2015. Best Associate Editor, ACM Transactions on Multimedia on Multimedia Computing, Communications, and Applications (TOMM), October 2014. NSERC (Natural Sciences and Engineering Research Council of Canada) Discovery Accelerator Supplement (DAS) , 2011. My research on optimizing mobile video streaming systems has been featured in the ACM Tech News (1 July 2009), the CTV British Columbia channel (26 June 2009), and SFU NEWS (28 May 2009). Best Technical Demonstration Award from the ACM Multimedia 2008 Conference. Best Paper Award from the IEEE Innovations 2008 Conference. Distinguished Graduate Award, Syndicate of Egyptian Engineers, 1994. Distinguished Undergraduate Award, Faculty of Engineering, Mansoura University, Egypt, five times (19891994). diff --git a/src/data/compiled_bios/3122.txt b/src/data/compiled_bios/3122.txt new file mode 100644 index 0000000000..eb10d91d31 --- /dev/null +++ b/src/data/compiled_bios/3122.txt @@ -0,0 +1 @@ + Education M.Sc., University of British Columbia, Canada, 2001 B.Sc. Physics/Computing Science, University of Toronto, Canada, 1997 Teaching interests Computer Organization/Architecture Operating Systems Undergraduate writing courses Research interests The social impact of computers on our lives, such as free speech, privacy, ethics, access, and intellectual property. : diff --git a/src/data/compiled_bios/3123.txt b/src/data/compiled_bios/3123.txt new file mode 100644 index 0000000000..136ffa9784 --- /dev/null +++ b/src/data/compiled_bios/3123.txt @@ -0,0 +1 @@ + Education M.Sc., Computer Science, University of British Columbia, Canada, 1999 B.Sc., Computing Science, Simon Fraser University, Canada, 1991 Recently taught courses CMPT 110 Programming in Visual Basic CMPT 125 Introduction to Computing Science and Programming II CMPT 126 Introducation to Computing Science and Programming CMPT 165 Introduction to the Internet and the World Wide Web CMPT 128 Introduction to Computing Science and Programming for Engineers CMPT 225 Data Structures and Programming CMPT 275 Software Engineering I CMPT 363 User Interface Design : diff --git a/src/data/compiled_bios/3124.txt b/src/data/compiled_bios/3124.txt new file mode 100644 index 0000000000..7788592ff2 --- /dev/null +++ b/src/data/compiled_bios/3124.txt @@ -0,0 +1 @@ + Maxwell W Libbrecht Home Research Publications Software Teaching Calendar About I am an Assistant Professor in the School of Computing Science at Simon Fraser University, British Columbia, Canada. Previously, I received my PhD in Computer Science and Engineering from the University of Washington in Seattle, advised by Bill Noble and Jeff Bilmes , and I did a short postdoc with the same advisors after getting my degree. I received my undergraduate degree from Stanford University in Computer Science, where I did research with Serafim Batzoglou and Anshul Kundaje . My group is currently looking for students at all levels (undergraduate RA, Masters, PhD, and postdoc). If you are interested in applying, please email me and (for MSc and PhD applicants) apply to the SFU CS graduate program . Email: maxwl at sfu dot ca Office: TASC 1 9219, SFU Burnaby campus CV (last updated 2016-12-04): PDF HTML Mailing address: ASB 9971-8888 University Drive. Burnaby, British Columbia V5A 1S6, Canada Software Segway encyclopedia Submodular selection of assays (SSA) Entropic graph-based posterior regularization (EGPR) Segway Segtools Genomedata Clustering AGgregation Tool (CAGT) Teaching Fall 2017 CMPT 310 UW 2017 Genome 541 unit: Gene regulation and epigenomics UW 2016 Genome 541 unit: Gene regulation and epigenomics UW 2015 Genome 541 unit: Gene regulation and epigenomics UW Genome 540 diff --git a/src/data/compiled_bios/3125.txt b/src/data/compiled_bios/3125.txt new file mode 100644 index 0000000000..01c3ecb29e --- /dev/null +++ b/src/data/compiled_bios/3125.txt @@ -0,0 +1 @@ + Home Resume Publication Teaching Services Grants Students Leisure Jiangchuan (JC) LIU University Professor NSERC E.W.R. Steacie Memorial Fellow, IEEE Fellow School of Computing Science Simon Fraser University Burnaby (Metro-Vancouver), BC, Canada Office: TASC I 9005 Email: jcliu@cs.sfu.ca Brief Biograph ( IEEE Style ) ( Full resume ) Jiangchuan Liu is currently a Full Professor (with University Professorship) in the School of Computing Science at Simon Fraser University, British Columbia, Canada . He is an IEEE Fellow and an NSERC E.W.R. Steacie Memorial Fellow . He is also an EMC-Endowed Visiting Chair Professor of Tsinghua University, Beijing, China ( EMC , , 2013-2016) and an Adjunct Professor of Tsinghua-Berkeley Shenzhen Institute . He was a Microsoft Research Fellow and worked at Microsoft Research Asia (MSRA) in the summers of 2000, 2001, 2002, 2007, and 2011. He received BEng (Cum Laude) from Tsinghua University in 1999, and PhD from The Hong Kong University of Science and Technology in 2003 (through HKUST's MED program with recommendation from Education Ministry of China and scholarship from Hong Kong Jockey Club; recipient of 200 4 Hong Kong Young Scientist Award for the PhD work). From 2003 to 2004, he was an Assistant Professor in the Department of Computer Science and Engineering at The Chinese University of Hong Kong. Research Interests Networking and multimedia; in particular, multimedia content processing and communications, wireless mobile networking, RFID, cloud and big data computing, online gaming and social networking, and peer-to-peer networking. Some Awards Fellow of IEEE (for contributions to multimedia communications and content distribution over the Internet) University Professorship (the highest ranked professorship at SFU), SFU, Sept 2015-Present HKUS T CSE Distinguished Alumni Award 2017 (Inaugu ral year) Test of Time Paper Award of IEEE INFOCOM, 2015 ( Inaugural year) NSERC E.W.R. Steacie Memorial Fellow ship , 2015 (NSERC's most prestigious award to young researchers in Canadian universities; 6 recipients per year from all science and engineering fields nationwide ; the 12th recipient from computer science since year 1965) ACM SIGMM TOMCCAP Nicolas D. Georganas Best Paper Award 2013 ACM Multimedia Best Paper Award 2012 Some Services Editor/Associate Editor, IEEE/ACM Transactions on Networking, IEEE Transactions on Network Science and EngineeringIEEE Transactions on Big Data, IEEE Tra nsactions on Multimedia , IEEE Access, IEEE Communications Tutorial and Surveys , IEEE Internet of Things Journal Steering Committee Member , IEEE Transactions on Mobile Computing, 2017-2019 Steering Committee Chair, IEEE/ACM IWQoS , 2015-2017 Area Chair, IEEE INFOCOM'2017-2018 , ACM Multimedia' 2014,2016 Some Textbook and Literature Reviews ( Full P ublication List ) ( Google Scholar Profile , Total citation: 12,000 + H-index: 51 ) W. Cai, R. Shea, C.-Y. Huang, K.-T. Chen, J. Liu, V. C.M. Leung, C.-H. Hsu, The Future of Cloud Gaming : Point of View , Proceedings of the IEEE , Vol. 104, No. 4, pp. 687-691, April 2016. J. Tang, Y. Cui, Q. Li, K. Ren, J. Liu, R. Buyya, Ensuring Security and Privacy Preservation for Cloud Data Services, to appear in ACM Computing Surveys , 2016. Z . Li, M. Drew, and J. Liu, Fundamentals of Multimedia, 2nd Edition , Textboo k (727 pages, 350 illus. ), Spring er TextsinComputerScienceSeries, April 2014. B. Li, Z. Wang, J. Liu, and W. Zhu, Two Decades of Internet Video Streaming: A Retrospective View , ACM Transactions on Multimedia Computing, Communications and Applications, Special Issue on 20th Anniversary of ACM SIGMM , 2013. J. Liu, S. G. Rao, B. Li, and H. Zhang, Opportunities and Challenges of Peer-to-Peer Internet Video Broadcast , Proceedings of the IEEE, Special Issue on Recent Advances in Distributed Multimedia Communications , Vol. 96, No. 1, January 2008. Some Past Graduates and Postdocs in Academia Wei Gong (201 8 ) - currently Professor at University of Science and Technology,China Ryan Shea (201 6 ) - currently Assistant Professor at Simon Fraser University, Canada Xiaoqiang Ma (201 5 ) - currently Assistant Professor at Huazhong University of Science and Technology, China Zhe Yang (2015) - currently Associate Professor at Northwestern Polytechnic University, China Haiyang Wang (2013) - currently Assistant Professor at University of Minnesota at Duluth, USA Feng Wang (2012) - currently Assistant Professor at University of Mississippi, USA Yanfang Zhou (2009) - currently Associate Professor at Fudan University, China Edith C.-H. Ngai (2007) - currently Associate Professor at Uppsala University, Sweden Dan Wang (2007) - currently Associate Professor at Hong Kong Polytechnic University , Hong Kong Yuanzhu Peter Chen (2005) - currently Associate Professor at Memorial University of New FoundLand , Canada To PhD, MSc, and Postdoc Applicants I always have some openings. Please send me your CV and transcript. Also note that SFU requires Toefl score for MSc and PhD admission only. GRE is not necessary. diff --git a/src/data/compiled_bios/3126.txt b/src/data/compiled_bios/3126.txt new file mode 100644 index 0000000000..b04ea743fd --- /dev/null +++ b/src/data/compiled_bios/3126.txt @@ -0,0 +1 @@ + David Mitchell Satisfiability-based Computing, Logic, Automated Reasoning, SAT, Constraint Modelling Languages email : lastname at cs dot sfu dot ca Associate Professor of Computing Science PhD, Computer Science, University of Toronto. MSc, Computing Science, Simon Fraser University. BSc, Cognitive Science and Artificial Intelligence, University of Toronto. Laboratory Affiliation : Computational Logic Laboratory Research: - Publications - Research Program - Possible Thesis Topics - Graduate Students Teaching: - Fall 2018: Satisfiability-Based Problem Solving (CMPT-417/827) SFU CS Faculty Page SFU Computing Science Home Page SFU Home Page diff --git a/src/data/compiled_bios/3127.txt b/src/data/compiled_bios/3127.txt new file mode 100644 index 0000000000..1e4e6b1441 --- /dev/null +++ b/src/data/compiled_bios/3127.txt @@ -0,0 +1 @@ + This page uses frames, but your browser doesn't support them. diff --git a/src/data/compiled_bios/3128.txt b/src/data/compiled_bios/3128.txt new file mode 100644 index 0000000000..838acf52cd --- /dev/null +++ b/src/data/compiled_bios/3128.txt @@ -0,0 +1 @@ + Home Research Teaching Fred Popowich received his PhD in Cognitive Science from the University of Edinburgh in 1989, and since then has been a faculty member in the School of Computing Science at Simon Fraser University, where he was recently the Associate Director Research and Industrial Relations, and Director of the SFU Professional Masters in Big Data . At SFU, he is also an Associate Member of the Department of Linguistics, and an Associate Member (and past director) of the Cognitive Science Program . At Dalhousie University, he is an Adjunct of the Faculty of Graduate Studies. He is an active in technology commercialization , and was co-founder, president, COO and then CTO of Axonwave Software. He is currently the Executive Director of KEY, SFUs Big Data Initiative , a member of the Scientific Advisory Board of the Computer Research Institute of Montreal , and the SFU Representative for Canadas Big Data Consortium . He is also the President of the Canadian Network for Visual Analytics ( CANVAC ). Professor, Computing Science Contact Information - email: popowich at sfu dot ca - phone: +1 (778) 782-4193 - twitter: @fredpopowich News - The importance of the human factor in relation to smart city data. diff --git a/src/data/compiled_bios/3129.txt b/src/data/compiled_bios/3129.txt new file mode 100644 index 0000000000..66991b2ff9 --- /dev/null +++ b/src/data/compiled_bios/3129.txt @@ -0,0 +1 @@ + Toggle navigation Home News Biography People Publications Research Software Associate Professor (since Sep'16) School of Computing Science Simon Fraser University Email: ac.ufs.sc.@marirhsa Gmail: moc.liamg@krow.marirhsa Google Scholar Github Linkedin Group Github Arrvindh Shriraman School of Computing Science ASB 9241, 8888 University Drive Simon Fraser University Burnaby, BC V5A 1S6, Canada Tel: I prefer email contact. perm_contact_calendar Calendar directions_car Directions Teaching Spring 2017: 300: Operating Systems Posts Accelerator Benchmarks If you are interested in working with me, before you email me, please read my First Contact guide. Active Research (more-) NEEDLE Vendors have closely integrated reconfigurable logic (e.g., FPGAs) into multicores that enable the software community to realize accelerators for specific program regions. We propose a methodical LLVM-based compiler approach to answer the question, what is acceleratable? and help software developers with early stage exploration of acceleration targets. Our hypothesis is that an entirely new program execution-based abstraction is needed to extract acceleratable regions from programs to help hardware synthesis tools. [IISWC'16,HPCA'16] FUSION Chip designers have shown increasing interest in integrating specialized fixed-function coprocessors. With increasing energy cost of wires and caches relative to compute operations, it is imperative to optimize data movement to retain the energy benefits of accelerators. We have developed a lightweight coherent cache hierarchy for accelerators to optimize the data movement. We are studying coherence based memory models for both GPUs [HPCA'13] and fixed-function coprocessors [ISCA'15]. Recent Publications and Talks All publications @inproceedings{smargerm-micro-2018, author = {Steven Margerm and Amirali Sharifian and Apala Guha and Gilles Pokam and Arrvindh Shriraman}, title = {}, pdf = {http://www.cs.sfu.ca/~ashriram/papers/2018_MICRO_TAPAS.pdf}, ppt = {http://www.cs.sfu.ca/~ashriram/papers/ppt/2018_MICRO_TAPAS.ppt}, booktitle = {Proc. of the 49th Intl. Symposium on Microarchitecture}, series = {MICRO}, type = {Accelerators}, year = {2018} } @inproceedings{song-micro-2018, author = {Chen Song and Jiacheng Chen and Ryan Shea and Andy Sun and Arrvindh Shriraman and Jiangchuan Liu}, title = {Scalable Distributed Visual Computing for Line-Rate Video Streams}, pdf = {http://www.cs.sfu.ca/~ashriram/papers/2018_MMSYS_DISTCV.pdf}, booktitle = {Proc. of the ACM Multimedia Systems Conference}, series = {MMSYS}, type = {systems}, year = {2018} } @inproceedings{vedula-hpca-2018, author = {Naveen Vedula and Arrvindh Shriraman and Snehasish Kumar and Nick Sumner}, title = {NACHOS: Software-Driven Hardware-Assisted Memory Disambiguation for Accelerators}, pdf = {http://www.cs.sfu.ca/~ashriram/papers/2018_HPCA_NACHOS.pdf}, ppt = {http://www.cs.sfu.ca/~ashriram/papers/ppt/2017_HPCA_NACHOS.ppt}, booktitle = {Proc. of the 19th Intl. Symp. on High Performance Computer Architecture}, series = {HPCA}, type = {Accelerators}, year = {2018} } @inproceedings{kumar-hpca-2017, author = {Snehasish Kumar and Nick Sumner and Steven Magrem and Viji Srinivasam and and Arrvindh Shriraman}, title = { NEEDLE : Leveraging Program Analysis to Analyze and Extract Accelerators from Whole Programs}, pdf = {http://www.cs.sfu.ca/~ashriram/papers/2017_HPCA_NEEDLE.pdf}, ppt = {http://www.cs.sfu.ca/~ashriram/papers/ppt/2017_HPCA_NEEDLE.pdf}, booktitle = {Proc. of the 18th Intl. Symp. on High Performance Computer Architecture}, series = {HPCA}, type = {Accelerators}, year = {2017} } @inproceedings{kumar-ics-2016, author = {Snehasish Kumar and Nick Sumner and Viji Srinivasam and Amirali Sharifian and Arrvindh Shriraman}, title = {Peruse and Profit: Estimating the Accelerability of Loops}, pdf = {http://www.cs.sfu.ca/~ashriram/papers/2016_ICS_PERUSE.pdf}, booktitle = {Proc. of the Intl. Conference on Supercomputing}, series = {ICS}, year = {2016} } @inproceedings{kumar-iiswc-2016, author = {Snehasish Kumar and Nick Sumner and Arrvindh Shriraman}, title = {SPEC-AX and PARSEC-AX: Extracting Accelerator Benchmarks from Microprocessor Benchmarks}, pdf = {http://www.cs.sfu.ca/~ashriram/papers/2016_IISWC_SPECAX.pdf}, ppt = {http://www.cs.sfu.ca/~ashriram/papers/ppt/2016_IISWC_SPECAX.pdf}, booktitle = {Proc. of the Intl. Symp. on Workload Characterization}, series = {IISWC}, year = {2016} } @inproceedings{sharifian-micro-2016, author = {Amirali Sharifian and Snehasish Kumar and Apala Guha and Arrvindh Shriraman}, title = {CHAINSAW: Creating Von-Neumann Accelerators with Fused Instruction Chains}, pdf = {http://www.cs.sfu.ca/~ashriram/papers/2016_MICRO_CHAINSAW.pdf}, ppt = {http://www.cs.sfu.ca/~ashriram/papers/ppt/2016_MICRO_CHAINSAW.pptx}, booktitle = {Proc. of the 49th Intl. Symposium on Microarchitecture}, series = {MICRO}, year = {2016} } @inproceedings{kumar-ics-2015, author = {Snehasish Kumar and Naveen Vedula and Arrvindh Shriraman and Vijaylakshmi Srinivasan}, title = {DASX: Hardware Accelerators for Software Data Structures}, pdf = {http://www.cs.sfu.ca/~ashriram/papers/2015_ICS_DASX.pdf}, ppt = {http://www.cs.sfu.ca/~ashriram/papers/ppt/2015_ICS_DASX.pptx}, booktitle = {Proc. of the Intl. Conference on Supercomputing}, series = {ICS}, year = {2015} } @inproceedings{kumar-isca-2015, author = {Snehasish Kumar and Arrvindh Shriraman and Naveen Vedula}, title = {FUSION: Design Tradeoffs in Coherence Hierarchies for Accelerators}, pdf = {http://www.cs.sfu.ca/~ashriram/papers/2015_ISCA_FUSION.pdf}, ppt = {http://www.cs.sfu.ca/~ashriram/papers/ppt/2015_ISCA_FUSION.pptx}, booktitle = {Proc. of the 42nd Intl. Symposium on Computer Architecture}, series = {ISCA}, year = {2015} } @inproceedings{danlin-pact-2014, author = { Rob Cameron and Tom Shermer and Arrvindh Shriraman and Ken Herdy and Dan Lin and Ben Hull and Meng Lin}, title = {Bitwise Data Parallelism in Regular Expression Matching}, pdf = {http://www.cs.sfu.ca/~ashriram/papers/2014_PACT_GREP.pdf}, ppt = {}, booktitle = {Proc. of the 23rd Intl. Conf. on Parallel Architectures and Compilation Techniques}, series = {PACT}, year = {2014} } @inproceedings{ipsingh-toppicks-2014, author = {Inderpreet Singh and Arrvindh Shriraman and Wilson Fung and Mike'O Connor and Tor Aamodt}, title = {Cache Coherence for GPUs}, pdf = {http://ieeexplore.ieee.org.proxy.lib.sfu.ca/document/6756705/}, booktitle = {IEEE MICRO TOP PICKS 2014}, series = {TopPicks 2014 Award paper}, year = {2014} } @inproceedings{kumar-micro-2013, author = {Snehasish Kumar and Arrvindh Shriraman and Viji Srinivasan and Dan Lin and Jordon Phillips}, title = {SQRL: Hardware Accelerator for Collecting Software Data structures}, booktitle = {Workshop on Near Data Processing}, pdf = {papers.html}, series = {WONDP at MICRO}, keywords = "conference", year = {2013} } @inproceedings{shriraman-ieeecomputer-2013, author = {Arrvindh Shriraman and Hongzhou Zhao and Sandhya Dwarkadas}, title = {Application Tailored Hardware Coherence}, booktitle = {IEEE Computer Vol 46, Issue 10}, pdf = {https://www.computer.org/csdl/mags/co/2013/10/mco2013100040-abs.html}, series = {IEEE Computer}, year = {2013} } @inproceedings{zhao-isca-2013, author = {Hongzhou Zhao and Arrvindh Shriraman and Snehasish Kumar and Sandhya Dwarkadas}, title = {Protozoa: Adaptive Granularity Cache Coherence}, pdf = {http://www.cs.sfu.ca/~ashriram/papers/2013_ISCA_Protozoa.pdf}, ppt = {}, booktitle = {Proc. of the 40th Intl. Symposium on Computer Architecture}, series = {ISCA}, year = {2013} } @inproceedings{yunyun-shriraman-date-flextm-2013, author = {Parosh Abdulla and Sandhya Dwarkadas and Ahmed Rezine and Arrvindh Shriraman and Yunyun Zhu}, title = {Verifying Safety and Liveness for the FlexTM Hybrid Transactional Memory}, pdf = {http://www.cs.sfu.ca/~ashriram/papers/2013_DATE_FlexTM.pdf}, ppt = {}, booktitle = {Proc. of the Design Automation and Test in Europe}, series = {DATE}, year = {2013} } @inproceedings{shen-shriraman-asplos-2013, author = {Kai Shen and Arrvindh Shriraman and Sandhya Dwarkadas and Xiao Zhang and Zhuan Chen}, title = {Power and Energy Containers for Multicore Servers}, pdf = {http://www.cs.sfu.ca/~ashriram/papers/2013_ASPLOS_Containers.pdf}, ppt = {http://www.cs.sfu.ca/~ashriram/papers/ppt/2013_ASPLOS_PowerContainers.pptx}, booktitle = {Proc. of the 18th Eighteenth International Conference on Architectural Support for Programming Languages and Operating Systems}, series = {ASPLOS}, year = {2013} } @inproceedings{singh-shriraman-hpca-2013, author = {Inderpreet Singh and Arrvindh Shriraman and Wilson Fung and Mike'O Connor and Tor Aamodt}, title = {Cache Coherence for GPU Architectures}, pdf = {http://www.cs.sfu.ca/~ashriram/papers/2013_HPCA_GPUCoherence.pdf}, ppt = {http://www.cs.sfu.ca/~ashriram/papers/ppt/2013_HPCA_TemporalCoherence.pptx}, booktitle = {Proc. of the 18th Intl. Symp. on High Performance Computer Architecture}, series = {HPCA}, year = {2013} } @inproceedings{kumar-hongzhou-micro-2012, author = {Snehasish Kumar and Hongzhou Zhao and Arrvindh Shriraman and Eric Matthews and Sandhya Dwarkadas and Lesley Shannon}, title = {Amoeba-Cache: Adaptive Blocks for Eliminating Waste in the Memory Hierarchy}, pdf = {http://www.cs.sfu.ca/~ashriram/papers/2012_MICRO_AmoebaCache.pdf}, ppt = {http://www.cs.sfu.ca/~ashriram/papers/ppt/2012_MICRO_AmoebaCache.pptx}, booktitle = {Proc. of the 18th Intl. Symp. on Microarchitecture Architecture}, series = {MICRO}, year = {2012} } @inproceedings{danlin-hpca-2012, author = {Dan Lin and Nigel Medforth and Kenneth Herdy and Arrvindh Shriraman and Rob Cameron}, title = {Boosting the Efficiency of Text Processing on Commodity Processors}, pdf = {http://www.cs.sfu.ca/~ashriram/papers/2012_HPCA_Parabix.pdf}, ppt = {http://www.cs.sfu.ca/~ashriram/papers/ppt/2012_HPCA_Parabix.pdf}, booktitle = {Proc. of the 18th Intl. Symp. on High Performance Computer Architecture}, series = {HPCA}, year = {2012} } @inproceedings{hongzhou-pact-2011, author = {Honzhou Zhao and Arrvindh Shriraman and Sandhya Dwarkadas and Viji Srinivasan}, title = {SPATL : Honey, I shrunk the coherence directory}, pdf = {http://www.cs.sfu.ca/~ashriram/papers/2011_PACT_SPATL.pdf}, ppt = {http://www.cs.sfu.ca/~ashriram/papers/ppt/2011_PACT_SPATL.pdf}, booktitle = {Proc. of the 20th Intl. Conf. on Parallel Architectures and Compilation Techniques}, series = {PACT}, year = {2011} } @inproceedings{hongzhou-pact-2010, author = {Honzhou Zhao and Arrvindh Shriraman and Sandhya Dwarkadas}, title = {SPACE : Sharing Pattern based Directory Coherence for Multicore Scalability}, pdf = {http://www.cs.sfu.ca/~ashriram/papers/2010_PACT_SPACE.pdf}, ppt = {http://www.cs.sfu.ca/~ashriram/papers/ppt/2010_PACT_SPACE.ppt}, booktitle = {Proc. of the 19th Intl. Conf. on Parallel Architectures and Compilation Techniques}, series = {PACT}, year = {2010} } @inproceedings{shriraman-isca-2010, author = {Arrvindh Shriraman and Sandhya Dwarkadas}, title = {Sentry: An Auxiliary Memory Access Control}, pdf = {http://www.cs.sfu.ca/~ashriram/papers/2010_ISCA_Sentry.pdf}, ppt = {http://www.cs.sfu.ca/~ashriram/papers/ppt/2010_ISCA_Sentry.pdf}, webkey = {http://www.cs.sfu.ca/~ashriram/papers/ppt/2010_ISCA_Sentry.tar.gz}, booktitle = {Proc. of the 37th Intl. Symposium on Computer Architecture}, series = {ISCA}, year = {2010} } @inproceedings{shriraman-jpdc-2010, author = {Arrvindh Shriraman and Sandhya Dwarkadas and Michael Scott}, title = {Implementation Tradeoffs in the Design of Flexible Transactional Memory Support}, booktitle = {Journal of Parallel and Distributed Computing: Special Issue on Transactional Memory}, series = {JPDC}, pdf = {http://www.cs.sfu.ca/~ashriram/papers/2010_JPDC_FlexTM.pdf}, year = {2010} } @inproceedings{shriraman-ijpp-2010, author = {Arrvindh Shriraman and Sandhya Dwarkadas}, title = {Analyzing Conflicts in Hardware-Supported Memory Transactions }, booktitle = {The Intl. Journal of Parallel Programming}, pdf = {http://www.cs.sfu.ca/~ashriram/papers/2010_IJPP_Referee.pdf}, series = {IJPP (ICS Award Paper)}, year = {2010}, month = {June} } @inproceedings{shriraman-usenixlogin-2009, author = {Arrvindh Shriraman and Sandhya Dwarkadas and Michael Scott}, title = {Tapping into Parallelism with Transactional Memory}, booktitle = {;login: The USENIX Magazine}, pdf = {http://www.cs.sfu.ca/~ashriram/papers/2009_login_TM.pdf}, year = {2009}, month = {April} } @inproceedings{shriraman-ics-2009, author = {Arrvindh Shriraman and Sandhya Dwarkadas}, title = {Refereeing Conflicts in Hardware Transactional Memory}, pdf = {http://www.cs.sfu.ca/~ashriram/papers/2009_ICS_Referee.pdf}, ppt = {http://www.cs.sfu.ca/~ashriram/papers/ppt/2009_ICS_Referee.pdf}, webkey = {http://www.cs.sfu.ca/~ashriram/papers/ppt/2009_ICS_Referee.tar.gz}, trpdf = {http://www.cs.sfu.ca/~ashriram/papers/2008_TR_Referee.pdf}, booktitle = {Proc. of the 23rd ACM Intl. Conference on Supercomputing}, series = {ICS}, year = {2009} } @inproceedings{shriraman-isca-2008, author = {Arrvindh Shriraman and Sandhya Dwarkadas and Michael L. Scott}, title = {Flexible Decoupled Transactional Memory Support}, pdf = {http://www.cs.sfu.ca/~ashriram/papers/2008_ISCA_FlexTM.pdf}, ppt = {http://www.cs.sfu.ca/~ashriram/papers/ppt/2008_ISCA_FlexTM.pdf}, webkey = {http://www.cs.sfu.ca/~ashriram/papers/ppt/2008_ISCA_FlexTM.tar.gz}, booktitle = {Proc. of the 35th Intl. Symposium on Computer Architecture}, series = {ISCA}, year = {2008} } @inproceedings{shriraman-isca-2008, author = {Arrvindh Shriraman and Sandhya Dwarkadas and Michael L. Scott}, title = {Flexible Decoupled Transactional Memory Support}, pdf = {http://www.cs.sfu.ca/~ashriram/papers/2008_ISCA_FlexTM.pdf}, ppt = {http://www.cs.sfu.ca/~ashriram/papers/ppt/2008_ISCA_FlexTM.pdf}, webkey = {http://www.cs.sfu.ca/~ashriram/papers/ppt/2008_ISCA_FlexTM.tar.gz}, booktitle = {Proc. of the 35th Intl. Symposium on Computer Architecture}, series = {ISCA}, year = {2008} } @inproceedings{shriraman-isca-2007, author = {Arrvindh Shriraman and Michael F. Spear and Hemayet Hossain Virendra Marathe and Sandhya Dwarkadas and Michael L. Scott}, title = {An Integrated Hardware-Software Approach to Flexible Transactional Memory}, pdf = {http://www.cs.sfu.ca/~ashriram/papers/2008_ISCA_FlexTM.pdf}, ppt = {http://www.cs.sfu.ca/~ashriram/papers/ppt/2008_ISCA_RTM.ppt}, booktitle = {Proc. of the 34th Intl. Symposium on Computer Architecture}, series = {ISCA}, year = {2007} } @inproceedings{spear-shriraman-ppopp-2007, author = {Michael F. Spear and Arrvindh Shriraman and L. Dalessandro and Sandhya Dwarkadas and Michael L. Scott}, title = {Nonblocking Transactions Without Indirection Using Alert-on-Update}, pdf = {http://www.cs.sfu.ca/~ashriram/papers/2007_SPAA_AOU.pdf}, ppt = {http://www.cs.sfu.ca/~ashriram/papers/ppt/2008_SPAA_AOU.ppt}, booktitle = {Proc. of the Symposium on Parallelism in Algorithms and Architectures}, series = {SPAA}, year = {2007} } @inproceedings{shriraman-ARCS-2006, author = {Arrvindh Shriraman and Nagarajan Venkateswaran and Niranjan Soundarajan}, title = {PASCOM: Power Model for Supercomputers}, booktitle = {Proc. of the Intl. Conference on Architecture of Computing Systems}, series = {ARCS}, year = {2006} } . Steven Margerm and Amirali Sharifian and Apala Guha and Gilles Pokam and Arrvindh Shriraman . Proc. of the 49th Intl. Symposium on Microarchitecture , 2018 PDF BibTeX Bibtex: @inproceedings { smargerm-micro-2018, author = { Steven Margerm and Amirali Sharifian and Apala Guha and Gilles Pokam and Arrvindh Shriraman } , title = { } , pdf = { http://www.cs.sfu.ca/~ashriram/papers/2018_MICRO_TAPAS.pdf } , ppt = { http://www.cs.sfu.ca/~ashriram/papers/ppt/2018_MICRO_TAPAS.ppt } , booktitle = { Proc. of the 49th Intl. Symposium on Microarchitecture } , series = { MICRO } , type = { Accelerators } , year = { 2018 } } Scalable Distributed Visual Computing for Line-Rate Video Streams . Chen Song and Jiacheng Chen and Ryan Shea and Andy Sun and Arrvindh Shriraman and Jiangchuan Liu . Proc. of the ACM Multimedia Systems Conference , 2018 PDF BibTeX Bibtex: @inproceedings { song-micro-2018, author = { Chen Song and Jiacheng Chen and Ryan Shea and Andy Sun and Arrvindh Shriraman and Jiangchuan Liu } , title = { Scalable Distributed Visual Computing for Line-Rate Video Streams } , pdf = { http://www.cs.sfu.ca/~ashriram/papers/2018_MMSYS_DISTCV.pdf } , booktitle = { Proc. of the ACM Multimedia Systems Conference } , series = { MMSYS } , type = { systems } , year = { 2018 } } NACHOS: Software-Driven Hardware-Assisted Memory Disambiguation for Accelerators . Naveen Vedula and Arrvindh Shriraman and Snehasish Kumar and Nick Sumner . Proc. of the 19th Intl. Symp. on High Performance Computer Architecture , 2018 PDF BibTeX Bibtex: @inproceedings { vedula-hpca-2018, author = { Naveen Vedula and Arrvindh Shriraman and Snehasish Kumar and Nick Sumner } , title = { NACHOS: Software-Driven Hardware-Assisted Memory Disambiguation for Accelerators } , pdf = { http://www.cs.sfu.ca/~ashriram/papers/2018_HPCA_NACHOS.pdf } , ppt = { http://www.cs.sfu.ca/~ashriram/papers/ppt/2017_HPCA_NACHOS.ppt } , booktitle = { Proc. of the 19th Intl. Symp. on High Performance Computer Architecture } , series = { HPCA } , type = { Accelerators } , year = { 2018 } } . . , ( ) : URL PDF BibTeX Abstract Abstract: Bibtex: Software All software GPGPU-Sim + Wisconsin Ruby Simulation infrastructure and workloads for Temporal Coherence [ More ] FUSION Protocol Simulation infrastructure for modelling hardware accelerator coherence [ More ] Service ( more- ) Program committee members, ASPLOS 2017, MICRO 2016, HPCA 2015, Local Arrangements Chair, MICRO 2012. Recently Graduated Students All students and postdocs Student theses Phd (Total: 2) Kumar, Snehasish. Generalized methods for application specific hardware specialization. (Summer 2013 - Spring 2017). First Job: Google Platform Research Group Lin, Dan. Multidimensional Parallelization for Streaming Text Processing Applications Based on Parabix Framework. (Spring 2011 - Fall 2017). First Job: Magnitude/Simba MSc (Total: 5) Margerm, Steven. Leveraging dynamic task parallelism in hardware accelerators. ( Fall 2016 - Spring 2018). First Job: Phd @ SFU Vedula, Naveen. Leveraging Compiler Alias Analysis To Free Accelerators from Load-Store Queues. ( Fall 2014 - Fall 2016). First Job: Phd @ SFU Copyright 2018 diff --git a/src/data/compiled_bios/313.txt b/src/data/compiled_bios/313.txt new file mode 100644 index 0000000000..4fcbbeab5d --- /dev/null +++ b/src/data/compiled_bios/313.txt @@ -0,0 +1 @@ + Pradip K Srimani, IEEE Fellow, ACM Distinguished Scientist, Professor Fax : (864) 656-0145 Voice: (864) 656-5886 Office: 121 McAdams Hall Office Hours: by appointment Research Interests Parallel and Distributed Computing, Interconnection Networks, Self-Stabilizing Systems, Graph Theory Applications, Mobile Computing. Research Publications: IEEE Xplore Digital Library , DBLP Bibliography Serve r , Google Scholar Current Professional Activities Program Committee, APDCM 2018 Program Committee, GPC-2018 13 th International Conference on Green, Pervasive and Cloud Computing, Hangzhpou , China. Program Committee, IEEE BigMM 2016 Program Committee, ICIT 2016 Program Committee, IEEE ICSC 2017 , Program Committee, PEC 2018 , The 2018 IEEE / WIC / ACM International Conferences on Web Intelligence Editorial Board, International Journal of High Performance Computing and Networking Editorial Board, Journal of Big Data, Springer Past Professional Activities Teaching Assignments Fall 2018: CpSc 3120 , CpSc 3220 , CpSc 4620/6620 My Complete Vita diff --git a/src/data/compiled_bios/3130.txt b/src/data/compiled_bios/3130.txt new file mode 100644 index 0000000000..734467666a --- /dev/null +++ b/src/data/compiled_bios/3130.txt @@ -0,0 +1 @@ + Nick Sumner Assistant Professor of Computing Science Nick Sumner School of Computing Science ASB 9971, 8888 University Drive Simon Fraser University Burnaby , BC V5A 1S6 Canada wsumner@sfu.ca Fax: (778)782-8116 Phone: (778)782-4153 Office: TASC 9421 [ Google Scholar ] [ ACM DL ] [ DBLP ] Hiring I am actively looking for new graduate and undergraduate students interested in research that improves software and the software development process! Interested students should be skilled programmers able to rapidly develop solutions that test new ideas. Research Interests I am interested in pushing the difficult or tedious tasks involved with software development onto computers. Whether finding or explaining bugs, generating effective tests, identifying potential optimization opportunities, or some other task, people have difficulty with the subtle and repetitive behaviors required for maintaining high quality software. By automating these subtle tasks, we can improve both the lives of developers and the quality of the software they produce. I am particularly interested in program analyses that facilitate debugging, test suite assessment, and hardening programs against attackers. Recent Papers Pardis: Priority Aware Test Case Reduction FASE 2019, 32%=24/? Golnaz Gharachorlu and Nick Sumner Avoiding the Familiar to Speed Up Test Case Reduction QRS 2018, 19%=33/171 Golnaz Gharachorlu and Nick Sumner NACHOS: Software-Driven Hardware-Assisted Memory Disambiguation for Accelerators HPCA 2018, 21%=54/260 Naveen Vedula, Arrvindh Shriraman, Snehasish Kumar, and Nick Sumner Home Research Teaching Misc. 2019 Nick Sumner HTML - CSS - Jekyll diff --git a/src/data/compiled_bios/3131.txt b/src/data/compiled_bios/3131.txt new file mode 100644 index 0000000000..aab06bb862 --- /dev/null +++ b/src/data/compiled_bios/3131.txt @@ -0,0 +1 @@ + Home Publications Teaching/Seminars CV Contact details Igor Shinkar I am an Assistant Professor in the School of Computing Science at Simon Fraser University . I have a broad interest in theoretical computer science, discrete mathematics, probability, and the interplay between them. In particular, I am interested in local-to-global phenomena in combinatorial objects, complex networks, probability theory, and their applications. I am looking for MSc and PhD students in theoretical computer science. If you are interested in working with me, please email me and apply to our graduate program . Sign in | Recent Site Activity | Report Abuse | Print Page | Powered By Google Sites diff --git a/src/data/compiled_bios/3132.txt b/src/data/compiled_bios/3132.txt new file mode 100644 index 0000000000..07385a290b --- /dev/null +++ b/src/data/compiled_bios/3132.txt @@ -0,0 +1 @@ + Ping TAN Associate Professor School of Computing Science Simon Fraser University Email: Home Research Publication Contact CV Ping Tan is an associate professor at the School of Computing Science in the Simon Fraser University (SFU). Before that, he was an associate professor at the Department of Electrical and Computer Engineering in the National University of Singapore (NUS). From 2016 to 2018 April, he worked in Qihoo 360's AI Lab in Beijing, China, and helped to launch the 360 robot vacuum cleaner . He received his PhD degree in Computer Science & Engineering from the Hong Kong University of Science and Technology in 2007, and his Master and Bachelor degrees from Shanghai Jiao Tong University , China, in 2000 and 2003 respectively. He has served as an editorial board member of the International Journal of Computer Vision (IJCV), Computer Graphics Forum (CGF), and the Machine Vision and Applications (MVA). He has served as an area chair of CVPR and a program committee member of SIGGRAPH, SIGGRAPH Asia. He received the inaugural MIT TR35@Singapore award in 2012 (among 12 top innovators under 35 from Southeast Asia, Australia, and New Zealand), Honorable Mention of the Image and Vision Computing Outstanding Young Researcher Award in 2012, the NSERC Discovery Accelerator Supplements (DAS) award in 2014. Research interests keywords: computer vision, computer graphics, robotics, 3D reconstruction, image-based modeling, image and video editing, lighting and reflectance modeling. Last modified in Jun 2018 diff --git a/src/data/compiled_bios/3133.txt b/src/data/compiled_bios/3133.txt new file mode 100644 index 0000000000..5ca1ad2c62 --- /dev/null +++ b/src/data/compiled_bios/3133.txt @@ -0,0 +1 @@ + Welcome Papers Students Contact Evgenia (Eugenia) Ternovska School of Computing Science Simon Fraser University AAAI 2018: PC Member IJCAI 2016 : SPC Member KR2016 : PC Member NMR16: PC Member IJCAI 2015 : PC Member LPNMR 2015 : PC Member KR2014 : PC member ASPOCP 2015 : PC Member GTTV'15 : PC Member LaSh 2014 : co-organizer, PC Member NMR 2014 : PC Member ASPOCP13 : PC member LPNMR-13 : PC member NRAC 2013 : PC member IJCAI 2011: SPC Member JAIRnm11 : PC member LPNMR-11 : PC member GTTV 2011 : Co-Chair NMR2010 Co-Chair (with Tommie Meyer) KR 2012 , PC Member IWIL 2012 : co-chair GTTV 2011 , (co-organizer, PC member) IJCAI11 (Senior PC Member) NonMon at 30 (a special conference devoted to the 30th anniversary of the field) (PC member) LPNMR09, LPNMR11 (PC member) AAAI08 (PC member) ECAI10 (PC member) IWIL10 (Co-Chair) DALT09, DALT10 (PC member) Workshop on Applications, co-chair (within NMR08) LaSh08 (Logic and Search) workshop (PC member) LaSh10 (Co-Chair) 24th Canadian Conference on Artificial Intelligence (PC member) Associate Professor, Computational Logic Logic-based Artificial Intelligence, Knowledge Representation, Efficient Reasoning, Reasoning about Actions, Logics of Programs, Process Algebra, Modal Logics, Fixpoint logics I also have a strong interest in Descriptive Complexity and Formal Verification I obtained my PhD in 2002 in Artificial Intelligence under the supervision of Ray Reiter (1939-2002) at the University of Toronto, Canada. Currently looking for PhD students (Please see under Students above) Also looking for postdoctoral researchers, to apply for PIMS postdoctoral scholarship Current research focus: Descriptive Complexity, Algebra of Modular Systems, Model Expansion, Logic of Information Flows Talk: Declarative Programming of Search Problems with Built-In Arithmetic: Complexity and Expressiveness [slides in pdf] 25th International Joint Conference on Artificial Intelligence IJCAI-16 , New York city IJCAI, the International Joint Conference on Artificial Intelligence Computer Science Bibliography (DBPL) ACM Digital Library Pacific Institute for the Mathematical Sciences (PIMS) MITACS Banff International Research Station Description Logics Homepage Reasoning about Actions Page Toronto Cognitive Robotics Group SFU Guest Accommodation Services Vancouver International Airport (yvr.ca) Translink Public Transportation Services (translink.ca) Links Research Interests current activities diff --git a/src/data/compiled_bios/3134.txt b/src/data/compiled_bios/3134.txt new file mode 100644 index 0000000000..bc5d8dd132 --- /dev/null +++ b/src/data/compiled_bios/3134.txt @@ -0,0 +1 @@ + Home Publications Activities Keval Vora Assistant Professor School of Computing Science Simon Fraser University TASC 1 9419, 8888 University Drive Burnaby, BC V5A 1S6 Canada Email: keval@sfu.ca Tel: (778) 782-5295 Open positions : I am looking for self-motivated students interested in systems research, at the intersection of parallel/distributed computing and big data processing. If you are interested in building scalable software solutions for challenging problems in large-scale and high-performance computing, please email me a brief description about your work interests along with a copy of your CV. I am interested in the broad area of Parallel & Distributed Computing including their Programmability, Performance, Scalability & Fault Tolerance . My current work lies at an intersection of large scale graph processing and relaxed consistency semantics. [ Read More... ] I received my PhD in Computer Science from University of California, Riverside , where my PhD advisor was Rajiv Gupta . I also worked as a visitng student researcher at University of California, Irvine where I worked with Harry Xu . SELECTED PUBLICATIONS (Click here for complete list of publications.) [EuroSys'19] GraphBolt: Dependency-Driven Synchronous Processing of Streaming Graphs (21.7%) [ASPLOS'19] PnP: Pruning and Prediction for Point-To-Point Iterative Graph Analytics (21.14%) [ASPLOS'17] KickStarter: Fast and Accurate Computations on Streaming Graphs via Trimmed Approximations (17.45%) [ASPLOS'17] CoRAL: Confined Recovery in Distributed Asynchronous Graph Processing (17.45%) [ATC'16] Load the Edges You Need: A Generic I/O Optimization for Disk-based Graph Processing (17.67%) [TACO'16] Synergistic Analysis of Evolving Graphs [HPDC'16] Efficient Processing of Large Graphs via Input Reduction (15.5%) [OOPSLA'14] ASPIRE: Exploiting Asynchronous Parallelism in Iterative Algorithms using a Relaxed Consistency based DSM (27.96%) [HPDC'14] CuSha: Vertex-Centric Graph Processing on GPUs (16.15%) TEACHING Spring 2019: CMPT 886/479: Large-Scale Graph Processing Previous Courses Fall 2018: CMPT 300: Operating Systems (D1), CMPT 300: Operating Systems (D2) Spring 2018: CMPT 300: Operating Systems, CMPT 886/479: Large-Scale Graph Processing diff --git a/src/data/compiled_bios/3135.txt b/src/data/compiled_bios/3135.txt new file mode 100644 index 0000000000..10cb53a4ed --- /dev/null +++ b/src/data/compiled_bios/3135.txt @@ -0,0 +1 @@ + Ke Wang Database, Data Mining Professor, Computing Science MSc, Georgia Institute of Technology PhD, Georgia Institute of Technology School of Computing Science Simon Fraser University 8888 University Drive Burnaby, British Columbia, Canada V5A 1S6 Email: wangk@cs.sfu.ca Tel: 7787824667 Fax: 7787823045 Database and Data Mining Laboratory Software for Download: Hongwei Liang, Ke Wang. Top-k Route Search through Submodularity Modeling of Recurrent POI Features . SIGIR 2018. [ datasets and code on GitHub ] Temporal Probabilistic Matrix Factorization : A temporal recommender based on matrix factorization. Publication: Chenyi Zhang, Ke Wang, Hongkun Yu, Jianling Sun, En-Peng Lim. Latent Factor Transition for Dynamic Collaborative Filtering . SDM 2014 CUT Classification : A clearance threshold based approach to cost sensitive classification. Publication: Ryan McBride, Ke Wang, Wenyuan Li. Classification by CUT: Clearance Under Threshold . IEEE ICDM 2014 Top-Down Specialization (TDS 1.0) : Generalize a table to satisfy the k-anonymity privacy requirement and preserve information for classification. Publication: B.C.M. Fung, K. Wang, and P.S. Yu. "Top-Down Specialization for Information and Privacy Preservation" . ICDE 2005 Frequent Itemset-based Hierarchical Clustering (FIHC 1.0) : Construct a document cluster hierarchy from a set of unlabeled documents based on frequent itemsets. Publication: B.C.M. Fung, K. Wang, and M. Ester. "Hierarchical Document Clustering Using Frequent Itemsets" . SDM 2003 Recent Publication: Book: B. C. M. Fung, K. Wang, A. W.-C. Fu, and P. S. Yu. Introduction to Privacy-Preserving Data Publishing: Concepts and Techniques , Data Mining and Knowledge Discovery Series. 376 pages, Chapman & Hall/CRC, August 2010. ISBN: 9781420091489 B. Fung, K. Wang, R. Chen, P. Yu. Privacy-Preserving Data Publishing: A Survey of Recent Developments . ACM Computing Surveys, Vol. 42, Issue No 4, 1-53, June 2010, ACM Press Ryan McBride, Ke Wang, Zhouyang Ren, Wenyuan Li. Cost-Sensitive Learning to Rank. AAAI 2019 Zhilin Zhang, Ke Wang, Chen Lin and Weipeng Lin. Secure Top-k Inner Product Retrieval . CIKM 2018 Jiaxi Tang, Ke Wang. Ranking Distillation: Learning Compact Ranking Models With High Performance for Recommender System . KDD 2018 Hongwei Liang, Ke Wang. Top-k Route Search through Submodularity Modeling of Recurrent POI Features . SIGIR 2018, 545-554. [ datasets and code on GitHub ] Weipeng Lin, Ke Wang, Zhilin Zhang, Hong Chen. Revisiting Security Risks of Asymmetric Scalar Product Preserving Encryption and Its Variants . IEEE International Conference on Distributed Computing Systems (ICDCS 2017) Ryan McBride, Ke Wang, Viswanadh Nekkanti, Wenyuan Li. Risk Clearance with Guaranteed Precision . SDM 2017. Hongwei Liang, Ke Wang, Feida Zhu. Mining Social Ties Beyond Homophily . ICDE 2016 Loc Do, Hady W. Lauw, Ke Wang. Mining Revenue-Maximizing Bundling Configuration. PVLDB 2015. Biography Teaching Research Funding Publication Student Activity Software Back to Faculty Home Page diff --git a/src/data/compiled_bios/3136.txt b/src/data/compiled_bios/3136.txt new file mode 100644 index 0000000000..1f55696bbb --- /dev/null +++ b/src/data/compiled_bios/3136.txt @@ -0,0 +1 @@ + Tianzheng Wang Assistant Professor School of Computing Science Simon Fraser University Office: TASC1 9213 Phone: 778-782-4488 Email: tzwang@sfu.ca I am an assistant professor in the School of Computing Science at Simon Fraser University (since August 2018). Previously, I was a research engineer at Huawei Canada Research Centre in Toronto. Prior to that, I completed my Ph.D. in Computer Science at the University of Toronto in 2017 . At Toronto, my advisors were Ryan Johnson and Angela Demke Brown . I received my B.Sc. in Computing degree from Hong Kong Polytechnic University in 2012. Hiring: I am looking for highly motivated students (undergraduate, masters and PhD) interested in the systems side of databases and related topics in computer systems (e.g., OS, networking, file systems). If you would like to work with me, please email me with your resume and transcripts. Research Interests I am broadly interested in computer systems, especially exploiting modern hardware (e.g., new memory/storage media, massively parallel processors, fast network) to build fast and energy-efficient systems, both large (server) and small (embedded). My current focus is on data-intensive systems and related areas that impact the design of database systems, such as parallel programming, distributed systems and operating systems. I also have interests in embedded and mobile systems. Recent Papers ( see here for older ones ) Easy Lock-Free Programming in Non-Volatile Memory. [code] Tianzheng Wang , Justin Levandoski and Per-Ake Larson. Finalist for the Memorable Paper Award (winner to be announced in March 2019) NVMW 2019 DPI: The Data Processing Interface for Modern Networks. Gustavo Alonso, Carsten Binnig, Ippokratis Pandis, Kenneth Salem, Jan Skrzypczak, Ryan Stutsman, Lasse Thostrup, Tianzheng Wang , Zeke Wang and Tobias Ziegler. (in alphabetical order) CIDR 2019 Easy Lock-Free Indexing in Non-Volatile Memory. [code] Tianzheng Wang , Justin Levandoski and Per-Ake Larson. ICDE 2018 Query Fresh: Log Shipping on Steroids. [slides] [poster] [code] Tianzheng Wang , Ryan Johnson and Ippokratis Pandis. VLDB 2018 Efficiently Making (almost) any Concurrency Control Mechanism Serializable. [preprint] [code] Tianzheng Wang , Ryan Johnson, Alan Fekete and Ippokratis Pandis. VLDBJ 2017 , Volume 26, Issue 4. Mostly-Optimistic Concurrency Control for Highly Contended Dynamic Workloads on 1000 Cores. [extended version] [slides] [poster] [code] Tianzheng Wang and Hideaki Kimura. VLDB 2017 Be My Guest - MCS Lock Now Welcomes Guests. [slides] [code] Tianzheng Wang , Milind Chabbi and Hideaki Kimura. PPoPP 2016 ERMIA: Fast Memory-Optimized Database System for Heterogeneous Workloads. [slides] [poster] [code] Kangnyeon Kim, Tianzheng Wang , Ryan Johnson and Ippokratis Pandis. SIGMOD 2016 The Serial Safety Net: Efficient Concurrency Control on Modern Hardware. [code] Tianzheng Wang , Ryan Johnson, Alan Fekete and Ippokratis Pandis. DaMoN 2015 Scalable Logging through Emerging Non-Volatile Memory. [abstract at NVMW 2015] [slides] [poster] [code] Tianzheng Wang and Ryan Johnson. VLDB 2014 Building High-Performance Smartphones via Non-Volatile Memory: The Swap Approach. Kan Zhong, Tianzheng Wang , Xiao Zhu, Linbo Long, Duo Liu, Weichen Liu, Zili Shao and Edwin Sha. EMSOFT 2014 Students Yongjun He (co-advised with Ryan Shea, Thesis MSc, 2018-) Jonghyeok Park (SKKU visiting PhD student, 2019-) Xiangpeng Hao (SFU/ZJU undergrad, 2018-) Shangzhen Tan (XTJU undergrad, 2019-) Mayanka Medhe (IIT exchange undergrad, 2019-) Teaching CMPT 740: Database Systems (Spring 2019) CMPT 300: Operating Systems I (Spring 2019) CMPT 454: Database Systems II (Summer 2019) diff --git a/src/data/compiled_bios/3137.txt b/src/data/compiled_bios/3137.txt new file mode 100644 index 0000000000..689340cece --- /dev/null +++ b/src/data/compiled_bios/3137.txt @@ -0,0 +1 @@ + Teaching interests Bioinformatics and Computational Intelligence Discrete Mathematics Artificial Intelligence Education Ph.D., Computer Science, University of Regina, Canada, 1999 B.Sc., Department of Computer of Science Universitat des Saarlandes, Germany, 1995 B.Sc., Department of Computer of Science Universitat des Saarlandes, Germany, 1991 B.Math, Department of Mathematics, Universitat des Saarlandes, Germany 1991 Certificate in Bioinformatics, Canadian Genetic Diseases Network, Canada, 2001 Research interests Bioinformatics and Computational Biology Evolutionary Computation Computational Intelligence and Machine Learning : diff --git a/src/data/compiled_bios/3138.txt b/src/data/compiled_bios/3138.txt new file mode 100644 index 0000000000..41d09d3247 --- /dev/null +++ b/src/data/compiled_bios/3138.txt @@ -0,0 +1 @@ + Contact: Email: kkyin@cs.sfu.ca Tel: Fax: 778-782-3045 Office: SFU Burnaby, TASC 1 Web: http://www.cs.sfu.ca/~kkyin/ : diff --git a/src/data/compiled_bios/3139.txt b/src/data/compiled_bios/3139.txt new file mode 100644 index 0000000000..09953b8ace --- /dev/null +++ b/src/data/compiled_bios/3139.txt @@ -0,0 +1 @@ + Bradley Bart Lecturer School of Computing Science Simon Fraser University Contact information: email : bbart@cs.sfu.ca phone : 778-782-4685 office : TASC1 9023 Courses: CMPT 125/118 2014-1 CMPT 150 2014-1 Degrees: B.Math., University of Waterloo, 1996 B.Ed., University of Western Ontario, 1996 B.Sc., University of Waterloo, 1997 M.Sc. , Simon Fraser University, 2000 Brad's Personal Pages Back to Faculty Home Page Last Updated: January 27, 2014 diff --git a/src/data/compiled_bios/314.txt b/src/data/compiled_bios/314.txt new file mode 100644 index 0000000000..e60662a42a --- /dev/null +++ b/src/data/compiled_bios/314.txt @@ -0,0 +1 @@ + Jerry Tessendorf Professor of Visual Computing, Clemson University Faculty Fellow of the Hagler Institute for Advanced Study, Texas A&M University jtessen@clemson.edu Recent Projects Reports & Publications Fitz Film Gilligan Student Projects Recent Courses CPSC 8190 Physically Based Effects (Volume Modeling and Rendering) DPA 8600 Production Studio VIZA 679 Physically Based Animation II: Realtime Fluid Simulation (Texas A&M University) VIZA 689 Special Topics: Volume Modeling and Rendering (Texas A&M University) AMPAS Technical Achievement Award 2008 To Jonathan Cohen, Dr. Jerry Tessendorf, Dr. Jeroen Molemaker and Michael Kowalski for the development of the system of fluid dynamics tools at Rhythm and Hues. This system allows artists to create realistic animation of liquids and gases, using novel simulation techniques for accuracy and speed, as well as a unique scripting language for working with volumetric data. Older Projects Volumetric Sim Visualization Galaxy Sim Visualization WaveTools iWave particles bamf noise shader hair under water RenderWorld Co-chair with Eugene Fiume of the Symposium on Computer Animation 2008, July 7-9, Trinity College Dublin, Ireland diff --git a/src/data/compiled_bios/3140.txt b/src/data/compiled_bios/3140.txt new file mode 100644 index 0000000000..55c0270334 --- /dev/null +++ b/src/data/compiled_bios/3140.txt @@ -0,0 +1 @@ + Toggle navigation Bobby Chan About Devs Research Teaching KB Contact BOBBY CHAN SFU About Me I am a lecturer at Simon Fraser University and have been teaching since Fall of 2007. I was born in Hong Kong and came to Vancouver when I was five years old. My interests are in theoretical computing science, software engineering, web development, and much of the visual arts. I try to keep my classes as interactive as possible, being as "practical" as possible to real life. DEVELOPMENT Current developments go here ... links coming soon RESEARCH Maximum Charge Problem Fractional Matching Problem Vehicle Routing Problem with Skillsets Scheduling with Skillsets Recent Courses CMPT125 Programming II A rigorous introduction to computing science. Learn fundamental concepts of computing science and basic principles of algorithm design and software development ... More CMPT354 Database Systems Provides an introduction to the DBMS, logical representations of data records, data models, and its mathematical theories ... More CMPT276 Software Engineering An overview of various techniques used for software development and software project management. Students learn the standard methodologies underlying ... More Macm101 Discrete Mathematics The course focuses on establishing basic principles of discrete mathematics and motivate the relevance of those principles by providing examples of applications in Computing Science... More CMPT165 Internet and W.W.W. Introduces the basic frameowrk of creating simple web sites. Using HTML5 (structure), CSS (visual), and basic JavaScript to create more interactive and interesting web pages ... More CMPT120 Programming I An elementary introduction to computing science and computer programming. Learn fundamental concepts and acquire elementary skills for programming in a high-level language ... More CMPT150 Computer Design Learn how basic logic blocks of a simple computer are designed and programmed in machine language ... More Things I know Contact Name: Email: Message: diff --git a/src/data/compiled_bios/3141.txt b/src/data/compiled_bios/3141.txt new file mode 100644 index 0000000000..274f9d2693 --- /dev/null +++ b/src/data/compiled_bios/3141.txt @@ -0,0 +1 @@ + Binay Bhattacharya Computational Geometry, Optimization. One of the most important aspects of logistics is deciding where to locate new facilities such as retailers, warehouses or factories. For systems in which deliveries are made along multiple stop routes, the routing problem and the location problem must be considered simultaneously. These strategic decisions are a crucial determinant of whether materials will flow efficiently through the distribution system. Facility location analysis has played a central role in the development of operations research. Location problems encompass a wide range of problems such as the location of emergency services, location of hazardous materials, location of ATM bank machines, problems in telecommunication networks design, etc., just to name a few. My objective is to develop new tools to aid in the location of logistics to optimally serve the demands of customers. My approach is to study the applicability and the extendability of the most advanced theory and techniques, extend the existing techniques, and develop new paradigms to further the state of the art in the area of facility location optimization. (Keywords: design and analysis of algorithms, computational geometry, resource allocation optimization, vehicle routing, scheduling, approximation algorithms) email : binay@cs.sfu.ca Personal Webpage Professor of Computing Science, Ph.D. (McGill, 1982). Laboratory Affiliations : Algorithms and Complexity Back to Faculty Home Page diff --git a/src/data/compiled_bios/3142.txt b/src/data/compiled_bios/3142.txt new file mode 100644 index 0000000000..2a067417e2 --- /dev/null +++ b/src/data/compiled_bios/3142.txt @@ -0,0 +1 @@ +Prof. Rob Cameron Welcome to my personal home page! Here are some useful links. My CS Faculty Profile is up-to-date as of Dec. 2015. The Parabix website documents my ongoing research into high-performance ( gigabyte per second ) streaming text processing. I spend a lot of time working with the LLVM Compiler Infrastructure as the back-end for Parabix technology. My spinoff company is International Characters, Inc. Potential Graduate Students! If you are interested in graduate studies working with me, make sure that you use an important keyword such as Parabix or icgrep in your email! Student Entrepreneurs: Sell Our Software We develop high-performance text-processing applications like icgrep using the Parabix-LLVM framework. If you are interested in starting your own software business building on unique made-at-SFU technology, let me know. diff --git a/src/data/compiled_bios/3143.txt b/src/data/compiled_bios/3143.txt new file mode 100644 index 0000000000..48f0e7ad72 --- /dev/null +++ b/src/data/compiled_bios/3143.txt @@ -0,0 +1 @@ + Skip to content SFU MARS Lab Principled robotic decision making Menu About Research People Publications Mo Chen Mo Chen Assistant Professor, School of Computing Science , Simon Fraser University Director, Multi-Agent Robotic Systems Lab Email: mochen at cs dot sfu dot ca Postdoctoral researcher, Aeronautics and Astronautics, Stanford University, 2017-2018 PhD, Electrical Engineering and Computer Sciences, University of California, Berkeley, 2017 BASc, Engineering Physics, University of British Columbia, 2011. Office: 8225 Technology and Science Complex 1 Mailng Address: ASB 9971-8888 University Drive, Burnaby, BC, Canada V5A 1S6 Areas of Research Reachability analysis Robotic safety System decomposition Parallel computation Principled machine learning Human-robot interactions Teaching Special Topics in Artificial Intelligence: Decision Making in Robotics (CMPT 882), Spring 2019 Introduction to Computing Science and Programming II (CMPT 125), Spring 2019 Students Xubo Lyu, PhD student Anjian Li, MSc student Awards UC Berkeley EECS Eli Jury Award, 2017 Excellent Reviewer for the AIAA Journal of Guidance, Control, and Dynamics, 2015/10 2016/10 UC Berkeley EECS Demetri Angelakos Memorial Achievement Award, 2016 Publications Journal articles Sandeep P. Chinchali, Scott C. Livingston, Mo Chen, Marco Pavone, Multi-objective optimal control for proactive decision-making with temporal logic models, International Journal of Robotics Research, 2018 (submitted). Kene Akametalu, Mo Chen, Claire J. Tomlin, Reachability-Based Forced Landing System, AIAA Journal of Guidance, Control, and Dynamics (to appear). Mo Chen, Claire J. Tomlin, Hamilton-Jacobi Reachability Some Recent Theoretical Advances and Applications in Unmanned Airspace Management, Annual Review of Control, Robotics, and Autonomous Systems , vol. 1, no. 1, pp. 333-358, 2018. Mo Chen, Sylvia Herbert, Mahesh S. Vashishtha, Somil Bansal, Claire J. Tomlin, Decomposition of Reachable Sets and Tubes for a Class of Nonlinear Systems, IEEE Transactions on Automatic Control (to appear). Mo Chen, Somil Bansal, Jaime F. Fisac, Claire J. Tomlin, Robust Sequential Path Planning Under Disturbances and Adversarial Intruder, IEEE Transactions on Control Systems Technology (to appear). Mo Chen, Qie Hu, Jaime F. Fisac, Kene Akametalu, Casey Mackin, Claire J. Tomlin, Reachability-Based Safety and Goal Satisfaction of Unmanned Aerial Platoons on Air Highways, AIAA Journal of Guidance, Control, and Dynamics , vol. 40, no. 6, pp. 1360-1373, 2017. Mo Chen, Zhengyuan Zhou, Claire J. Tomlin, Multiplayer Reach-Avoid Games via Pairwise Outcomes, IEEE Transactions on Automatic Control , vol. 62, no. 3, pp. 1451-1457, Mar. 2017. Suraj Gowda, Simon A. Overduin, Mo Chen, Young-Hwan Chang, Claire J. Tomlin, Jose M. Carmena, Accelerating Submovement Decomposition with Search-Space Reduction Heuristics, IEEE Transactions on Biomedical Engineering , vol. 62, no. 10, pp. 2508-2515, Oct. 2015. Ian M. Michell, Shahab Kaynama, Mo Chen, Meeko Oishi, Safety Preserving Control Synthesis for Sampled Data Systems, Nonlinear Analysis: Hybrid Systems , vol. 10, no. 1, pp. 63-82, Nov. 2013. Mo Chen, Andrzej Kotlicki, Chris Waltham, Nathan Wolfe, Jing Fei Yu, Chenchong Zhu, Vibrational behavior of a soundbox in an atmosphere with a variable speed of sound, Journal of the Acoustical Society of America , vol. 131, no. 3, pp. 2495, 2012. Chris Waltham, Mo Chen, Andrzej Kotlicki, Nathan Wolfe, Jing Fei Yu, Chenchong Zhu, Soundbox behavior in environments with varying sound speed, Journal of the Acoustical Society of America , vol. 129, no. 4, pp. 2520, 2011. Conference proceedings Mo Chen*, Qizhan Tam*, Scott C. Livingston, Marco Pavone, Signal Temporal Logic meets Hamilton-Jacobi Reachability: Connections and Applications, Proceedings of the IFRR International Workshop on the Algorithmic Foundations of Robotics, 2018 (submitted). Sumeet Singh, Mo Chen, Sylvia L. Herbert, Claire J. Tomlin, Marco Pavone, Robust Tracking with Model Mismatch for Fast and Safe Planning: an SOS Optimization Approach, Proceedings of the IFRR International Workshop on the Algorithmic Foundations of Robotics, 2018 (submitted). Boris Ivanovic, James Harrison, Apoorva Sharma, Mo Chen, Marco Pavone, BaRC: backward reachability curriculum for robotic reinforcement learning, Proceedings of the IFRR Conference on Robotic Learning, 2018 (submitted). Haimin Hu, Ye Pu, Mo Chen, Claire J. Tomlin. Plug and Play Distributed Model Predictive Control for Heavy Duty Vehicle Platooning and Interaction with Passenger Vehicles, Proceedings of the IEEE Conference on Decision and Control, 2018. Joe Lorenzetti, Mo Chen, Benoit Landry, Marco Pavone, Reach-avoid games via mixed-integer second-order cone programming, Proceedings of the IEEE Conference on Decision and Control, 2018. Benoit Landry*, Mo Chen*, Scott Hemley, Marco Pavone. Reach-Avoid Problems via Sum-of-Squares Optimization and Dynamic Programming, Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018. Karen Leung*, Edward F. Schmerling*, Mo Chen, Marco Pavone. Ensuring Safety via Reachability for Robot-Human Pairwise Vehicle Interaction, Proceedings of the IFRR International Symposium on Experimental Robotics, 2018. Somil Bansal*, Mo Chen*, Sylvia L. Herbert*, Claire J. Tomlin. Hamilton-Jacobi Reachability: A Brief Overview and Recent Advances, Proceedings of the IEEE Conference on Decision and Control , 2017. Sylvia L. Herbert*, Mo Chen*, SooJean Han, Somil Bansal, Jaime F. Fisac, Claire J. Tomlin. FaSTrack: a Modular Framework for Fast and Guaranteed Safe Motion Planning, Proceedings of the IEEE Conference on Decision and Control , 2017. Aparna Dhinakaran*, Mo Chen*, Glen Chou, Jennifer C. Shih, Claire J. Tomlin. A Hybrid Framework for Multi-Vehicle Collision Avoidance, Proceedings of the IEEE Conference on Decision and Control , 2017. Somil Bansal*, Mo Chen*, Jaime F. Fisac, Claire J. Tomlin, Safe Sequential Path Planning of Multi-Vehicle Systems Under Disturbances and Imperfect Information, Proceedings of the American Control Conference , 2017. Mo Chen, Sylvia Herbert, Claire J. Tomlin, Exact and Efficient Hamilton-Jacobi-based Guaranteed Safety Analysis via System Decomposition, Proceedings of the IEEE International Conference on Robotics and Automation , 2017. Mo Chen*, Jennifer C. Shih*, Claire J. Tomlin, Multi-Vehicle Collision Avoidance via Hamilton-Jacobi Reachability and Mixed Integer Programming, Proceedings of the IEEE Conference on Decision and Control , 2016. Mo Chen*, Sylvia Herbert*, Claire J. Tomlin, Fast Reachable Set Approximations via State Decoupling Disturbances, Proceedings of the IEEE Conference on Decision and Control , 2016. Mo Chen, Claire J. Tomlin, Exact and Efficient Hamilton-Jacobi Reachability for Decoupled Systems, Proceedings of the IEEE Conference on Decision and Control , 2015. Mo Chen, Qie Hu, Casey Mackin, Jaime F. Fisac, Claire J. Tomlin, Safe Platooning of Unmanned Aerial Vehicles via Reachability, Proceedings of the IEEE Conference on Decision and Control , 2015. Mo Chen, Jaime F. Fisac, Shankar S. Sastry, Claire J. Tomlin, Safe Sequential Path Planning of Multi-Vehicle Systems via Double-Obstacle Hamilton-Jacobi-Isaacs Variational Inequality, Proceedings of the European Control Conference , 2015. Jaime F. Fisac, Mo Chen, Claire J. Tomlin, Shankar S. Sastry, Reach-Avoid Problems with Time-Varying Dynamics, Targets and Constraints, Proceedings of the ACM International Conference on Hybrid Systems: Computation and Control , 2015. Maximilian Balandat, Frauke Oldewurtel, Mo Chen, and Claire J. Tomlin, Contract Design for Frequency Regulation by Aggregations of Commercial Buildings, Proceedings of the Allerton Conference on Communication, Control, and Computing , 2014. Mo Chen, Zhengyuan Zhou, Claire J. Tomlin, A Path Defense Approach to the Multiplayer Reach-Avoid Game, Proceedings of the IEEE Conference on Decision and Control , 2014. Junkai Lu*, Mo Chen*, Young-Hwan Chang*, Masayoshi Tomizuka, Jose M. Carmena, Claire J. Tomlin, Design of a Neural Decoder by Sensory Prediction and Error Correction, Proceedings of the IEEE Conference on Decision and Control , 2014. Young-Hwan Chang*, Mo Chen*, Maryam M. Shanechi, Jose M. Carmena, Claire J. Tomlin, A Design of Neural Decoder by Reducing Discrepancy between Manual Control (MC) and Brain Control (BC), Proceedings of the European Control Conference , 2014. Mo Chen, Zhengyuan Zhou, Claire J. Tomlin, Multiplayer Reach-Avoid Games via Low Dimensional Solutions and Maximum Matching, Proceedings of the American Control Conference , 2014. Simon A. Overduin, Young-Hwan Chang, Mo Chen, Suraj Gowda, Amy L. Orsborn, Kelvin So, Emilio Bizzi, Claire J. Tomlin, Jose M. Carmena, Detection of Submovement Primitives for Neuroprosthetic Motor Control, Poster, presented at the Society for Neuroscience Annual Meeting , 2014. Young-Hwan Chang, Mo Chen, Suraj Gowda, Simon A. Overduin, Jose M. Carmena, Claire J. Tomlin, Low-rank Representation of Neural Activity and Detection of Submovements, Proceedings of the IEEE Conference on Decision and Control , 2013. Ian M. Mitchell, Mo Chen, and Meeko Oishi, Ensuring Safety of Nonlinear Sampled Data Systems through Reachability, Proceedings of the IFAC Conference on Analysis and Design of Hybrid Systems , 2012. * equal contribution among authors Invited talks Mo Chen, Safety in Autonomy via Reachability, Stanford Robotics Seminar, May 18, 2018. Mo Chen, Differential Games: Practical Safety-Critical Applications, The Center for Information Technology Research in the Interest of Society (CITRIS)/CITRIS People and Robots (CPAR) Control Theory and Automation Symposium, Apr. 27, 2018. Mo Chen, State of the Art in Hamilton-Jacobi Reachability Analysis, Guest Lecture in CS333 at Stanford University, Nov. 14, 2017. Mo Chen, Claire J. Tomlin, Decomposition of Reachable Sets and Tubes for a Class of Nonlinear Systems, Society for Industrial and Applied Mathematics (SIAM) Conference on Control and Its Applications, Pittsburgh, PA, July 10, 2017. Mo Chen, Sylvia Herbert, High-Dimensional Reachability Analysis: Addressing the Curse of Dimensionality in Formal Verification, Graduate Seminar, Department of Astronautics and Aeronautics, Stanford University, Stanford, CA, Mar. 10, 2017. Mo Chen, High-Dimensional Reachability Analysis: Addressing the Curse of Dimensionality in Formal Verification, Graduate Seminar, Department of Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM, Jan. 27, 2017 Mo Chen, Frank Jiang, Real-Time Air Highway Placement and UAV Platooning: Theory and Implementation , Flight controls engineering team, Airware , San Francisco, CA, Nov. 18, 2016. Mo Chen, Frank Jiang, Real-Time Air Highway Placement and UAV Platooning: Theory and Implementation , Project Vahana, Airbus Group , Santa Clara, CA, Nov. 17, 2016. Mo Chen, Safe Sequential Path Planning of Multi-Vehicle Systems, Robuddies seminar, Computer Science department, University of British Columbia , Vancouver, BC, June 21, 2016. Mo Chen, Some Recent Advances in Hamilton-Jacobi Reachability Theory and Applications, CPS Verification & Validation: Industry Challenges & Foundations Workshop, Computer Science department, Carnegie Mellon University, Pittsburgh, PA, May 6, 2016. Mo Chen, Safe Platooning of Unmanned Aerial Vehicles via Reachability, Swarm Lab Winter Retreat , EECS Department, UC Berkeley, Santa Cruz, CA, Jan. 15, 2016. Mo Chen, Multiplayer Reach-Avoid Games, Heterogeneous Unmanned Networked Teams Multidisciplinary University Research Initiative grant review, School of Engineering and Applied Science, University of Pennsylvania , Philadelphia, PA, Sept. 4, 2013. Proudly powered by WordPress diff --git a/src/data/compiled_bios/3144.txt b/src/data/compiled_bios/3144.txt new file mode 100644 index 0000000000..451b72ed51 --- /dev/null +++ b/src/data/compiled_bios/3144.txt @@ -0,0 +1 @@ + Contact: Email: pchilana@cs.sfu.ca Tel: 778-782-3372 Fax: 778-782-3045 Office: SFU Burnaby, TASC 1 9415 Web: http://hci.cs.sfu.ca/ : diff --git a/src/data/compiled_bios/3145.txt b/src/data/compiled_bios/3145.txt new file mode 100644 index 0000000000..14109db5bf --- /dev/null +++ b/src/data/compiled_bios/3145.txt @@ -0,0 +1 @@ + Education PhD, Neuroscience, Dalhousie University, Canada, 2002 MSc, Neuroscience, Dalhousie University, Canada, 1998 BSc, Psychology and Biology, University of Victoria, Canada, 1996 Advanced Neuroimaging Research Representative Publications In the News: Rewiring Trevor Greene's Brain - Maclean's Consciousness scanner giving hope to brain trauma patients - CTV Kickass Canadians Consciousness Scan (Audio) - CBC : diff --git a/src/data/compiled_bios/3146.txt b/src/data/compiled_bios/3146.txt new file mode 100644 index 0000000000..9f8a1a68c9 --- /dev/null +++ b/src/data/compiled_bios/3146.txt @@ -0,0 +1 @@ + Mark S. Drew - Multimedia, Computer Vision, Computer Graphics, Colour email : mark@cs.sfu.ca Address : School of Computing Science, Simon Fraser University, Burnaby, BC, Canada V5A 1S6 Phone : +1-778-782-4277 // Fax : +1-778-782-3045 Professor of Computing Science; Honorary Professor, School of Computing Sciences, University of East Anglia; B.A.Sc. Engineering Science, Univ. of Toronto, 1970; M.Sc Physics, Univ. of Toronto, 1971; Ph.D. Physics, Univ. of British Columbia, 1976. Laboratory Affiliations: Vision and Media Lab Associate Member: Colour Lab, University of East Anglia Selected Talks Teaching: CMPT 828: Illumination in Images and Video, CMPT 365: Multimedia Systems, CMPT 820: Multimedia Systems, CMPT 110: Event-Driven Programming. Current Research Spin-off Company Facebook Twitter Current Publications Current Students Opportunities for Research Service: Conferences, Journals, Committees Papers FTP Archive Back to Faculty Page diff --git a/src/data/compiled_bios/3147.txt b/src/data/compiled_bios/3147.txt new file mode 100644 index 0000000000..1c7b69bb98 --- /dev/null +++ b/src/data/compiled_bios/3147.txt @@ -0,0 +1 @@ +f Office TASC-1 8025 Office Phone 778-782-3126 Email funt [at] sfu [dot] ca Brian Funt Professor, School of Computing Science , Faculty of Applied Sciences , Simon Fraser University Lab Director , Computational Vision Laboratory B.Sc. University of British Columbia, 1971 M.Sc. University of British Columbia, 1973 Ph.D. University of British Columbia, 1976 (Ph.D. Supervisor, Dr. Raymond Reiter) RESEARCH INTERESTS I am interested in colour perception. My approach to understanding colour is to view colour perception as a computational process. As such, the models of colour perception developed in my laboratory are formulated as algorithms that can be tested both in terms of whether or not they simply provide the expected results, and secondly in terms of whether they operate in a way that is congruent with what is known about human colour perception from the psychophysical experiments conducted by psychologists. The results of my research find application in the digital camera industry, the digital printing industry, the digital display industry, the textile industry, the lighting industry, and in the scientific use of colour (e.g., in medical applications). Board Member, Colour Research Society of Canada Google Scholar Listing CURRENTGRADSTUDENTS Ben Hull (Ph.D.) Razieh Roshan (Ph.D.) Hoda Aghaei (M.Sc.) GRADUATEDSTUDENTS Charles Poynton (Ph.D.) Hamid Mirzaei (Ph.D.) Farnaz Agahian (M.Sc.) Milan Mosny (Ph.D.) Lilong Shi (Ph.D.) Hamid Mirzaei (M.Sc.) Nima Bastani (M.Sc.) Behnam Bastani (Ph.D.) Wallace Xiong (Ph.D. Florian Ciurea (Ph.D.) Bill Cressman (M.Sc.) Roozbeh Ghaffri (M.Sc.) Vlad Cardei (Ph.D.) Graham Finlayson (M.Sc. & Ph.D.) Louis Brassard (Ph.D.) Kobus Barnard (M.Sc. & Ph.D.) Pamela Gurski (M.Sc.) Shubo Chatterjee (M.Sc.) Paul Pelicano (M.Sc.) Frank Tong (M.Sc.) Janet Dueck (M.Sc.) Thomas Strohotte (M.Sc.) Arthur Lo (M.Sc.) Brigitte Dorner (M.Sc.) Dejan Kulpinski (M.Sc.) Ian Harder (M.Sc.) Ed Bryant (M.Sc.) Robert Laughlin (M.Sc.) TEACHING Fall 2018 CMPT 412 Computational Vision ( Spring 2014 Course Evaluations; Spring 2013 Course Evaluations ) Fall 2018 CMPT 102 Computer Science for Science Students ( Spring 2014 Course Evaluations ; Spring 2013 Course Evaluations ) Spring 2019 (tentative) CMPT 822 Computational Colour Vision ( Fall 2014 Course Evaluations ; Fall 2013 Course Evaluations ; Fall 2012 Course Evaluations ) CURRENT FUNDING Natural Science and Engineering Research Council, Discovery Grant PATENTS B. V. Funt, J. Ho, and M. S. Drew. Method and apparatus for determining ambient light and surface reflectance. U.S. Patent 4,992,963 L. Grenier, B. V. Funt, and R. Orth. A method and apparatus for breast imaging for the medical diagnosis of breast lesions. U.S. Patent 5,079,698. Funt, B., Cardei, V. and Barnard, K. "Method of Estimating Chromaticity of Illumination Using Neural Networks," US Patent 5,907,629. May 25, 1999. PUBLICATIONS (For reprints of those without hyperlinks please write to funt@sfu.ca ) Funt, B., and Zhu, L., " Does Colour Really Matter? Evaluation via Object Classification " Proc. CIC'26 Twenty-Sixth IS&T Color Imaging Conference, Vancouver, Nov. 2018. Hemrit, G., Finlayson, G., Gijsenij, A., Gehler, P., Bianco, S., Funt, B., Drew, M. and Shi, L. " Rehabilitating the ColorChecker Dataset for Illuminant Estimation ," Proc. CIC26 26th Color Imaging Conference, Vancouver, Nov. 2018. Roshan, R., and Funt, B., "Camera Color Accuracy Evaluated via Metamer Mismatch Moments," (under review). Funt, B. and Roshan, R., " Color Discrimination Ellipses Explained by Metamer Mismatching ," Proc. AIC 2018 International Colour Association Conference, Lisbon, Sept. 2018. Funt, B. and Zhu, L., " Colorization of Dichromatic Images ," Proc. AIC 2018 International Colour Association Conference, Lisbon, Sept. 2018. Roshan, E. and Funt, B. " Computational color prediction versus least-dissimilar matching ," J. Opt. Soc. Am. A 35, B292-B298 (March 2018). Zhu, L.and Funt, B., "Colorizing Color Images, " P roc. Human Vision and Electronic Imaging XXIII , IS&T/SPIE Electronic Imaging, Feb. 2018 Funt, B, Mirzaei, H. and Zhang, X., " A Colour Rendering Index for Dichromats, " Proc. AIC 2017 International Colour Association Conference, Jeju Oct. 2017. Roshan, E. and Funt, B., " Camera Color Accuracy Evaluated Via Metamer Mismatching ," Proc. AIC 2017 International Colour Association Conference, Jeju Oct. 2017. Funt, B., Hull, B. and Zhang, X., " Evaluation of the IES Method for Evaluating Light Source Color Rendition in terms of Metamer Mismatching ," Proc. CIC24 Twenty Fourth IS&T Color Imaging Conference , Nov. 2016. Zhang, X., Funt, B. and Mirzaei, H., " Metamer Mismatching in Practice versus Theory ," Journal of the Optical Society of America A , Vol. 33, No. 3, pp. A238-A247, March 2016. Li, B., Xiong, W., Hu, W, Funt, B. and Xing, J., "Multi-Cue Illumination Estimation via a Tree-Structured Group Joint Sparse Representation", International Journal of Computer Vision , (Published on-line: DOI 10.1007/s11263-015-0844-7, July 2015) Vol. 117, No. 1, pp 2147. March 2016. Zhang, X., Funt, B. and Mirzaei, H., " Metamer Mismatching and its Consequences for Predicting How Colours are Affected by the Illuminant ," ICCV 2015 Workshop on Color and Photometry in Computer Vision , Dec. 2015. Logvinenko, A.D., Funt, B., Mirzaei, H. and Tokunaga, R., " Rethinking Colour Constancy ," PLOS ONE DOI: 10.1371/journal.pone.0135029 , Sept. 10, 2015. Mirzaei, H. and Funt. B., " Gaussian-Based Hue Descriptors ," IEEE Pattern Analysis and Machine Intelligence, Vol. 37, No. 12, pp. 24441-2450, DOI 10.1109/TPAMI.2015.2420560.2015. Logvinenko, A.D, Funt, B., and Godau, C. "How Metamer Mismatching Decreases as the number of Colour Mechanisms Increases with Implications for Colour and Lightness Constancy," Vision Research, Volume 113, Part A, pp. 65-70, August 2015. (preprint available on ResearchGate) Mirzaei, H., and Funt, B., " Robust Chroma and Lightness Descriptors, " Proc. CIC'23 Twenty-Third IS&T Color Imaging Conference , Darmstadt, Oct. 2015. Hull, B. and Funt, B., " Comparing Colour Camera Sensors Using Metamer Mismatch Indices, " Proc. AIC 2015 International Colour Association Conference, Tokyo, May. 2015. Mirzaei, H., and Funt, B., "Metamer Mismatching as a Measure of the Color Rendering of Lights ," Proc. AIC 2015 International Colour Association Conference, Tokyo May 2015. Xu, L., and Funt, B., " How Multi-Illuminant Scenes Affect Illumination Estimation Performance ," Proc. AIC 2015 International Colour Association Conference, Tokyo May 2015 Agahian, F. and Funt. B., "Spectral Compression using Subspace Clustering," Color Research and Application, (Article first published online: DOI: 10.1002/col.21942, Jan. 27, 2015. Funt, B. and Bastani, P., " Irradiance-Independent Camera Color Calibration ," Color Research and Application, Vol. 39, No.6, pp. 540-548, Dec. 2014. Funt. B., Mirzaei, H. and Logvinenko, A., " Metamer Mismatch Volumes of Flat Gre y," Proc. CIC22 Twenty Second IS&T Color Imaging Conference , Nov. 2014. Mirzaei, H. and Funt. B., " Gaussian Illuminants and Reflectances for Colour Signal Prediction ," Proc. CIC22 Twenty Second IS&T Color Imaging Conference , Nov. 2014. Agahian, F. and Funt. B., " Subspace-Clustering-based Multispectral Image Compression, " Proc. CIC22 Twenty Second IS&T Color Imaging Conference , Nov. 2014. Mirzaei, H. and Funt. B., " Object Colour Signal Prediction using Wraparound Gaussian Metamers, " Journal of the Optical Society of America A, Vol. 31, No. 7. pp.1680-1687, July 2014. (Available on request to funt@sfu.ca) Agahian, F. and Funt. B., "Outlier Modeling for Spectral Data Reduction," Journal of the Optical Society of America A, Vol. 31, No. 7. pp. 1445-1452, July 2014. (Available on request to funt@sfu.ca) Logvinenko, A.D., Funt, B., and Godau, C., " Metamer Mismatching ," IEEE Trans. on Image Processing, DOI: 10.1109/TIP.2013.2283148, Sept. 2013 and Vol. 23, No. 1, pp. 34-43, Jan. 2014. Li, B., Xiong, W, Hu, W., and Funt, B., "Evaluating Combinational Illlumination Estimation Methods on Real-World Images," IEEE Trans. on Image Processing, Vol. 23, No. 3, pp. 1194-1209, Mar. 2014. ( Preprint Version ) Poynton, C. and Funt, B., "Perceptual Uniformity in Digital Image Representation and Display," Color Research and Application , Vol. 39, No. 1, pp. 6-15, Feb. 2014.. (Available on request to funt@sfu.ca) Bastani, P., and Funt. B., " Simplifying irradiance independent color calibration, " Proc. Color Imaging XIX: Displaying, Processing, Hardcopy, and Applications , IS&T/SPIE Electronic Imaging, Feb. 2014. Agahian, F., Funt. B., and Amirshahi, S.H., " Spectral compression: weighted principal component analysis versus weighted least squares ," Proc. Human Vision and Electronic Imaging XIX , IS&T/SPIE Electronic Imaging, Feb. 2014. Mirzaei, H. and Funt, B., A Robust Hue Descriptor , Proc. CIC21 Twenty-first IS&T Color Imaging Conference, Albuquerque, Nov. 2013. Shi, L. and Funt, B., Rank-Based Illumination Estimation , Proc. CIC21 Twenty-first IS&T Color Imaging Conference, Albuquerque, Nov. 2013. Logvinenko, A.D., Funt, B., and Mirzaei, H., "The Extent of Metamer Mismatching ", Proc. AIC 2013 (International Colour Association) Conference , Vol. 2, pp. 507510 , Newcastle, July 2013. Mirzaei, H. andFunt, B., "Hue Correlate Stability using a Gaussian versus Rectangular Object Colour Atlas ," Proc. AIC 2013 (International Colour Association) Conference , Vol. 3, pp. 1133-1136. Newcastle, July 2013. Logvinenko, A.D., Bastani, P., and Funt, B., "The Dichromatic Object Colour Solid, " Proc. AIC 2013 (International Colour Association) Conference , Vol. 1, pp. 283-286, Newcastle, July 2013.. Funt, B., and Mosny, M., " Removing Outliers in Illumination Estimation ," Proc. CIC20 Twentieth IS&T Color Imaging Conference , Los Angeles, Nov. 2012. Mosny, M., and Funt, B., " Reducing Worst-Case Illumination Estimates for Better Automatic White Balance ," Proc. CIC20 Twentieth IS&T Color Imaging Conference , Los Angeles, Nov. 2012. Funt, B. and Bastani, P., " Intensity Independent RGB-to-XYZ Colour Camera Calibration, " Proc. AIC 2012 (International Colour Association) Conference , Taipei, Sept. 2012. Funt, B., and Mosny, M., "Color Fidelity Evaluation using Fruit and Paper Colors," Journal of Imaging Science and Technology, 56(2): 020401-1020401-6, 2012. (available on request to funt@sfu.ca) Godau, C., and Funt, B., "The Logvinenko Object Color Atlas in Practice," Color Research and Application , Vol. 37, Issue 2, pp. 117-125, April 2012. (available on request to funt@sfu.ca) Agahian, F., Funt, B., and Amirshahi, S.H., "Representing outliers for improved multi-spectral data reduction," Proc. CGIV2012 IS&T Sixth European Conf. on Colour in Graphics, Imaging and Vision, Amsterdam, May 2012. Logvinenko, A., Funt, B., and Godau, C., " Metamer Mismatch Volumes, " Proc. CGIV2012 IS&T Sixth European Conf. on Colour in Graphics, Imaging and Vision, Amsterdam, May 2012 (Winner of Best Paper Award CGIV2012) Download/Watch Talk Video. Download talk slides. Muselet, D., and Funt, B., "Color invariants for object recognition," in Advanced color image processing , Ed: Christine Fernandez-Maloigne, pp. 325-374. Springer, NY, July 2012. (For a preprint of this chapter send request to funt@sfu.ca ) Funt, B., and Shi, L, " MaxRGB Reconsidered ," Journal of Imaging Science and Technology, 56(2): 020501-1020501-10, 2012. Funt, B., and Mirzaei, H.," Intersecting Colour Manifolds, " Proc. Nineteenth IS&T Color Imaging Conference, San Francisco, Nov. 2011. Mirzaei, H. and Funt, B., " Gaussian-Metamer-Based Prediction of Colour Stimulus change under Illuminant Change, " Proc. AIC 2011 Association Internationale de la Couleur, Zurich, June 2011. Shi, L., Xiong, W. and Funt, B., "Illumination estimation via thin-plate spline interpolation ," Journal Optical Society of America A , Vol. 28, No. 5, May 2011. Wang, N., Funt, B., Lang, C. and Xu. D. "Video-Based Illumination Estimation," Proc. Computational Color Imaging Workshop, Springer Lecture Notes in Computer Science , Milan, April 2011. (available on request) Funt, B. and Shi. L., " The Rehabilitation of MaxRGB, " Proc. Eighteenth IS&T Color Imaging Conference, San Antonio. Nov. 2010. Godau, C., and Funt, B. " XYZ to ADL: Calculating Logvinenkos Object Color Coordinates ," Proc. Eighteenth IS&T Color Imaging Conference, San Antonio. Nov. 2010. Funt, B. and Mosny, M. " Color Calibration via Natural Food Colors, " Proc. AIC2010 Association Internationale de la Couleur Mar del Plata, Argentina, Oct. 2010. Mosny, M. and Funt, B., " Cubical Gamut Mapping Colour Constancy, " Proc. CGIV2010 IS&T Fifth European Conf. on Colour in Graphics, Imaging and Vision, Joensuu, June 2010. Funt, B. and Shi, L., " The Effect of Exposure on MaxRGB Color Constancy, " Proc. SPIE Volume 7527 Human Vision and Electronic Imaging XV , San Jose, Jan. 2010. Shi, L., and Funt, B., " Monge's Unique Property of White Surfaces, " AIC'2009 Proc. 11th Congress of the International Color Association, Sydney, Sept. 2009. Xiong, W., and Funt, B., " Stereo Retinex " Image & Vision Computing, Vol. 27 No. 1-2, pp. 178-188, 2009. Bastani, B. and Funt, B., " Geodesic Based Ink Separation for Spectral Printing, " Proc. IS&T Sixteenth Color Imaging Conference, Portland, Nov. 2008. Shi, L., Funt, B. and Hamarneh, G., " Quaternion Color Curvature, " Proc. IS&T Sixteenth Color Imaging Conference, Portland, Nov. 2008. Bastani, B. and Funt, B., "Spectral Modeling of an n-Ink Printer via Thin Plate Spline Interpolation" Proc. NIP24 International Conference on Digital Printing Technologies, , Pittsburgh, Sept. 2008. Shi, L., and Funt, B., " Dichromatic Illumination Estimation via Hough Transforms in 3D, " Proc. CGIV2008 IS&T Fourth European Conf. on Colour in Graphics, Imaging and Vision Barcelona, June 2008. Shi, L., and Funt, B., " Skin Colour Imaging That Is Insensitive to Lighting, " Proc. AIC (Association Internationale de la Couleur) Conference on Colour Effects & Affects, Stockholm, June 2008 Ai, J., Funt, B. and Shi, L., "A New Type of ART2 Architecture and Application to Color Image Segmentation," 18th International Conference on Artificial Neural Networks(ICANN), 89-98, 2008 Xiong, W., Funt, B., Shi, L., Kim, S., Kang, B., and Lee, S.D., " Automatic White Balancing via Gray Surface Identification, " Proc. of the Fifteenth IS&T Color Imaging Conference, Albuquerque, Nov. 2007. Xiong, W., Shi, L., Funt, B., Kim, S., Kang, B., and Lee, S.D., " Illumination Estimation via Thin-Plate Spline Interpolation, " Proc. of the Fifteenth IS&T Color Imaging Conference, Albuquerque, Nov. 2007. Bastani, B. and Funt, B., " Spectral Gamut Mapping and Gamut Concavity, " Proc. of the Fifteenth IS&T Color Imaging Conference, Albuquerque, Nov. 2007. Bastani, B., Funt, B., and DiCarlo, J., " Spectral Reproduction: How Many Primaries Are Needed?, " Proc. NIP23 International Conference on Digital Printing Technologies, Anchorage, Sept. 2007. Shi, L., Funt, B., Xiong, W., Kim, S.-S., Kang, B.-H., Lee, S.-D., C.-Y. Ki, " Illumination estimation via non-negative matrix factorization, " Proc. AIC 2007 Color for Science and Industry, Midterm Meeting of the International Color Association , Hangzhou, July 2007. Shi, Lilong and Funt. B., "Quaternion Colour Texture Segmentation," Computer Vision and Image Understanding (Special Issue on Color Image Processing for Computer Vision and Image Understanding) Vol. 107, Issues 1-2, pp. 88-96, July-August 2007. Muselet, D., Funt, B., and Macaire, L., "Object Recognition and Pose Estimation Across Illumination Change," 2nd International Conference on Computer Vision Theory and Applications, Barcelona, Mar. 2007 Muselet, D., Funt, B., and Macaire, L., "Eigen local color histograms for object recognition and orientation estimation," Proc. SPIE Volume 6492 Human Vision and Electronic Imaging XII , San Jose, Jan. 2007 Mosny, M. and Funt, B., " Multispectral Color Constancy: Real Image Test s," Proc. SPIE Volume 6492 Human Vision and Electronic Imaging XII , San Jose, Jan. 2007 Xiong, W., and Funt, B., "Color Constancy for Multiple-Illuminant Scenes using Retinex and SVR," Proc. Imaging Science and Technology Fourteenth Color Imaging Conference pp. 304-308, Nov. 2006 Mosny, M., and Funt, B., " Multispectral Color Constancy ," Proceedings of the IS&T Fourteenth Color Imaging Conference, , Scottsdale, pp. 309-313, Nov. 2006 Xiong, W., and Funt, B., " Estimating Illumination Chromaticity via Support Vector Regression ," Journal of Imaging Science and Technology Vol. 50, No.4 pp. 341-348, July/August 2006. Xiong, W. and Funt. B.,,"Color Channels for Stereo Retinex," CGIV'2006 Third International Conference on Color in Graphics, Imaging, and Vision, Leeds, June 2006. Xiong, W. and Funt. B.,"Stereo Retinex," CRV'2006 Third Canadian Conference on Computer and Robot Vision, ( Best Vision Paper Award ) Quebec, June 2006. Bastani,B., Funt, G. and Xiong, W, "End-user display calibration via support vector regression," Proc. SPIE Volume 6058 Human Vision and Electronic Imaging XI , San Jose, Jan. 2006. Toro, J., and Funt, B., "A Multilinear Constraint on Dichromatic Planes for Illumination Estimation," IEEE Transactions on Image Processing , Vol. 16, No. 1, pp. 92-97, Jan. 2007 Funt, B. and Xiong, W., "A Basis for Cones," Proc. SPIE Volume 6057 Human Vision and Electronic Imaging XI , San Jose, Jan. 2006. Bastani, B., Funt, B., and Ghaffari, R., "End-User DLP Projector Colour Calibration," AIC'2005 Proc. 10th Congress of the International Color Association, Granada, May 2005. Xiong, W. and Funt, B., "Independent Component Analysis and Nonnegative Linear Model Analysis of Illuminant and Reflectance Spectra," AIC'2005 Proc. 10th Congress of the International Color Association, Granada, May 2005. Shi, L. and Funt, B., "Quaternion Colour Texture," AIC'2005 Proc. 10th Congress of the International Color Association, Granada, May 2005. Toro, J. and Funt, B., "Illumination Estimation Using a Multilinear Constraint on Dichromatic Planes," Proc. British Machine Vision Conference 2005 pp. 512-518, Oxford, Sept. 2005. Xiong, W., and Funt, B., "Nonlinear RGB-to-XYZ mapping for Device Calibration," Proceedings of the Thirteenth Color Imaging Conference: Color Science, Systems & Applications, Scottsdale, AZ,pp. 200-204, November 2005 Toro, J., Ziou, D. and Funt, B., "Illuminant Estimation from Dichromatic Planes," Proceedings of the Thirteenth Color Imaging Conference: Color Science, Systems & Applications, Scottsdale, AZ, pp.95-98, November 2005. B. Bastani, W. Cressman, and B. Funt, "Calibrated Colour Mapping Between LCD and CRT Displays: A Case Study," Colour Research and Application, Vol. 30, No. 6, pp. 438-447, 2005. Bastani, B., Funt, B., and Ghaffari, R., "End-User DLP Projector Colour Calibration," AIC'2005 Proc. 10th Congress of the International Color Association, Granada, May 2005. Xiong, W. and Funt, B., "Independent Component Analysis and Nonnegative Linear Model Analysis of Illuminant and Reflectance Spectra," AIC'2005 Proc. 10th Congress of the International Color Association, Granada, May 2005. Shi, L. and Funt, B., "Quaternion Colour Texture," AIC'2005 Proc. 10th Congress of the International Color Association, Granada, May 2005. Funt, B., Ciurea, F., and McCann, J., "Retinex in Matlab," Journal of Electronic Imaging, 13(1), pp. 48-57, Jan. 2004. Ciurea, F., and Funt, B., "Tuning Retinex Parameters," Journal of Electronic Imaging 13(1), pp. 58-64, Jan. 2004. Funt, B., "Imprecise Color Constancy versus Color Realism," The Behavioral and Brain Sciences, Vol. 26 No.1, pp. 27, Feb 2003. Bastani, B., Cressman, W., and Funt, B., "Calibrated Colour Mapping Between LCD and CRT Displays: A Case Study", Proc. Second European Conference on Color in Graphics, Imaging and Vision, Achen, April 2004. Ciurea, F, and Funt, B., "Failure of Redness-luminance Correlation for Illuminant Estimation," Twelfth Color Imaging Conference: Color Science, Systems & Applications, Scottsdale, AZ, November 2004, pp 42-46 Funt, B., Ghaffari, R., and Bastani, B., "Optimal Linear RGB-to-XYZ Mapping for Color Display Calibration," Twelfth Color Imaging Conference: Color Science, Systems & Applications, Scottsdale, AZ, November 2004. Funt, B., Xiong, W., "Estimating Illumination Chromaticity via Support Vector Regression," Twelfth Color Imaging Conference: Color Science, Systems & Applications, Scottsdale, AZ, pp. 47-52,, Nov. 2004. Funt, B.V., and Jiang, H., "Non-von-Kries 3-parameter color prediction," Proceedings Electronic Imaging Conference EI'03 Human Vision and Electronic Imaging VIII, Vol 5007, Santa Clara, Jan 2003. Finlayson, G., Funt, B., and Jiang, H., Predicting Cone Quantum Catches under Illuminant Change, Proceedings of the Eleventh Color Imaging Conference, Scottsdale, Nov. 2003. Ciurea, F. and Funt,B. "A Large Image Database for Color Constancy Research," Proceedings of the Eleventh Color Imaging Conference, Scottsdale, Nov. 2003. Cardei, V., Funt, B. and Brockington, M., "Issues in Color Correction of Images from Unknown Origins," CSCS'12 Twelth International Conference on Control Systems and Computer science, Romanian Society of Control Engineering, Bucharest, May, 1999. Funt, B., and Jiang, H., "Non-Diagonal Colour Correction," Proceedings ICIP 2003 International Conference on Image Processing , Barcelona, Sept 2003. Barnard, K. and Funt, B.V., "Camera calibration for color research," Color Research and Application Vol. 27No. 3, pp. 153-164, 2002. Ciurea, F., and Funt, B., "Tuning Retinex Parameters," Proc. of SPIE Vol. 4662 Human Vision and Electronic Imaging VII, San Jose, Jan. 2002. Barnard,K., Funt,B., and Cardei, V., "A Comparison of Computational Color Constancy Algorithms, Part One; Theory and Experiments with Synthetic Data," IEEE Transactions on Image Processing, Vol. 11, No. 9, Sept 2002, pp. 972-983. Barnard,K., Martin, L., Coath, A., and Funt, B., "A Comparison of Computational Color Constancy Algorithms, Part 2; Experiments with Images," IEEE Transactions on Image Processing, Vol. 11, No. 9, pp 985-996, Sept 2002. Funt, B., and Ciurea, F., "Chromatic Adaptation Transforms with Tuned Sharpening," Proc. First European Conference on Color in Graphics, Imaging and Vision, France, pp. 148-152, Poitiers, April 2002. Cardei, V., Funt, B. and Barnard, K., "Estimating the Scene Illumination Chromaticity Using a Neural Network," Journal of the Optical Society of America A, Vol. 19, No. 12, Dec 2002. Georgina Kwei, Kobus Barnard, and Brian Funt, "Spotting Colours," Colour image science : exploiting digital media Ed. L. W. MacDonald and M. R. Luo., Wiley, 2002. Barnard, K. Martin, L., Funt, B.V. and Coath, A., "A Data Set for Color Research," Color Research and Application, Vol. 27 No. 3, pp. 140-147, 2002. Barnard, K., Ciurea, F., and Funt, B., "Sensor Sharpening for Computational Color Constancy," Journal of the Optical Society of America A , Volume 18, Issue 11, 2728-2743 Nov. 2001 Funt, B., and Ciurea, F., "Parameters for Retinex," AIC'2001 Proc. 9th Congress of the International Color Association, Rochester, June 2001. Funt, B.V., Kulpinski, D. and Cardei, V., "Non-Linear Embeddings and the Underlying Dimensionality of Reflectance spectra and Chromaticity Histograms," Proc. Ninth Color Imaging Conference, Scottsdale, Nov. 2001. Funt, B.V., and Lewis, B.C., "Diagonal versus Affine Transformations for Color Correction," Journal of the Optical Society of America A, Vol 17, No. 11, Nov. 2000. Cardei, V. and Funt, B., "Color Correcting Uncalibrated Digital Images," Journal of Imaging Science and Technology , Special Issue on Color Imaging, Vol 44, No. 4, pp 288-294, July/August 2000. Funt, B.V., Cuirea, F. and McCann, J., "Retinex in Matlab," Proc. CIC'8 Eighth Color Imaging Conference, (Imaging Science& Technology Society) pp. 112-121, Scottsdale, Nov. 2000 Barnard, K., Martin, L.and Funt, B.V., "Colour by Correlation in a Three-Dimensional Colour Space," ECCV'2000 Proceedings Sixth European Conference on Computer Vision, Dublin, 2000. Georgina Kwei, Kobus Barnard, and Brian Funt, "Spotting Colours," Proceedings Colour Image Science 2000 , Univ. of Derby, Derby England, April 2000. Funt, B. and Cardei, V., "Computational Uses of Colour," Color Perception: Philosophical, Psychological, Artistic and Computational Perspectives, Vancouver Studies in Cognitive Science Vol 9 , ed. S. Davis, Oxford UniversityPress, 2000. Cardei, V., Funt, B. and Barnard, K., "White Point Estimation for Uncalibrated Images," CIC'99 Proc. Seventh Color Imaging Conference (Imaging Science & Technology Society), Scottsdale, Nov. 1999. Barnard, K. and Funt, B.V., "Camera Calibration for Color Vision Research," SPIE Proc. Human Vision and Electronic Image IV , pp 576-585, 1999. Funt, B.V. and Cardei, V.C. "Bootstrapping color constancy," Proc. SPIE Vol. 3644 Electronic Imaging IV, San Jose, Jan. 1999. Cardei, V.C. and Funt, B.V. "Committee-based color constancy," Proc. of the IS&T/SID Seventh Color Imaging Conference: Color Science, Systems and Applications, pp. 311-313, Nov. 1999. Barnard, K. and Funt, B., "Investigations into multi-scale retinex (MSR)," in Colour Imaging Vision and Technology, ed. L. W.MacDonald and M. R. Lou, pp.17-36, John Wiley, 1999. Barnard, K., Funt, B., "Color Constancy with Specular and Non-Specular Surfaces," Proceedings of the IS&T/SID Seventh Color Imaging Conference: Color Science, Systems and Applications, pp. 114-119, Scottsdale 1999. Funt, B. 'Computational Color: Digital Photography and Computer Vision,' Proc. ACCV'98 Third International Asian Computer Vision Conference, Invited, Jan 1998. Cardei, V., Funt, B., and Barnard, K., "Adaptive Illuminant Estimation Using Neural Networks," Proc. ICANN98 International Conference on Artificial Neural Networks, Skovde Sweden, Sept 1998. Barnard, K. and Funt, B., "Investigations into multi-scale retinex," Proc. Colour Imaging in Multimedia '98, Derby, UK, March 1998, pages 9-17. B. Funt and K. Barnard, "Is Colour Constancy Good Enough," ECCV'98 Proceedings Fifth European Conference on Computer vision, 1998. B. Funt, K. Barnard, M. Brockington and V. Cardei, 'Luminance-Based Multi-Scale Retinex,' Proc. AIC Color 97, Vol.I , 330-333, Kyoto, Japan, May 1997. B. Funt, V. Cardei and K. Barnard, 'Neural Network Color Constancy and Specularly Reflecting Surfaces,' Proc. AIC Color 97, Vol.II, 523-526, Kyoto, Japan, May 1997. V. Cardei , B. Funt and K. Barnard, "Modeling Color Constancy with Neural Networks," Proc. Int. Conf. on Vision, Recognition, and Action: Neural Models of Mind and Machine , Boston, May 29-31, 1997. Barnard, K. and Funt, B., 'Analysis and Improvement of Multi-Scale Retinex,' Proc. Fifth IS&T Color Imaging Conference, Scottsdale 1997 B. Funt, 'Digital Image Processing,' Invited, Proceedings Vision Interface, VI'97, pp 30-38, May 1997. Barnard, J., Finlayson, G., and Funt, B.V., "Color Constancy for Scenes with Varying Illumination," Computer Vision and Image Understanding, Vol 65, No. 2 pp 311-321, Feb 1997 Finlayson, G. D., Dueck, J., Funt, B.V., Drew, M.S., 'Colour Eigenfaces,' Proc. Third International Workshop on Image and Signal Processing Advances in Computational Intelligence, November 4-7, 1996, Manchester, UK Finlayson, G.D., Chatterjee, S.S., and Funt, B.V., 'Colour-Texture Indexing,' Proc. IEE Colloquium on Image Databases, 1996. Barnard. J., Finlayson, G., Funt, B., 'Colour Constancy for Scenes with Spectrally Varying Illumination,' ECCV96 Fourth European Conference on Computer Vision, Vol. II, pages 3-15, April 1996 Finlayson, G., Chatterjee, S., and Funt, B., 'Colour Angular Indexing,' ECCV96 Fourth European Conference on Computer Vision, Vol. II, pages 16-27, April 1996. B. Funt, V. Cardei and K. Barnard, 'Learning Color Constancy,' Proc. IS&T/SID Fourth Color Imaging Conference: Color Science, Systems and Applications, pp. 58-60, Scottsdale, Arizona, November 1996. Finlayson, G.. and Funt, B.V., 'Coefficient Channels: Derivation and Relationship to Other Theoretical Studies,' Color Research and Applications, 21 (2) April 1996. Finlayson, G., and Funt, B., 'Optimal Spectral Sharpening,' Proceedings First Intersociety Color Council Panchromatic Conference, page 41, Feb. 1995. Funt, B., and Finlayson, G. 'The State of Computational Color Constancy,' Proceedings First Intersociety Color Council Panchromatic Conference, 38-39, Feb. 1995. Finlayson, G., and Funt, B., 'Color Constancy Under a Varying Illumination,' Proceedings Fifth International Conference on Computer Vision, 431-436, June 1995. Finlayson, G., Chatterjee, S., and Funt, B., 'Color angle Invariants for Object Recognition,' Proc. Third Color Imaging Conference (Imaging Science and Techology), 44-48, Nov 1995. Funt, B. 'Linear Models and Color Constancy' Third Imaging Science & Technology Society Color Imaging Conference, Scottsdale, Nov. 1995. Funt, B. 'A Computational View of Colour,' Proc. IEEE PACRIM95 Conference on Computers, Communication, Visualization and Signal Processing. pp. 11-14, Victoria, May 1995. Funt, B.V., and Finlayson, G., 'Color Constant Color Indexing,' IEEE Transactions on Pattern Analysis and Machine Intelligence, 17 (5), 522-529, May 1995. Funt, B.V., 'Problem-Solving with Diagrammatic Representations', in Diagrammatic Reasoning (ed.) Glasgow, J., Narayanan, N., and Chandrasekaran, B., MIT Press 1995. Reprinted from Artificial Intelligence , Vol. 13 No. 4 1980, pp. 201-230. Finlayson, G., and Funt, B. "Color Sensors and Color Function," The John Dalton Vision Conference , Manchester, Sept. 1994 Finlayson, G., Drew, M. and Funt, B.V., 'Color Constancy: Generalized Diagonal Transforms Suffice,' Journal of the Optical Society of America A, 11(11) 3011-3020. 1994 Finlayson, G. Drew, M. and Funt, B.V., 'Spectral Sharpening: Sensor Transformations for Improved Color Constancy,' Journal of the Optical Society of America A, 11, 1553-1563, 1994. Finlayson, G. and Funt, B.V., 'Color Constancy with Shadows,' Perception , 23, 89-90, 1994. Finlayson, G., Drew, M. and Funt, B., 'Diagonal Transforms Suffice for Color Constancy,' IEEE Proceedings Fourth International Conference on Computer Vision, 164-171, Berlin, May 1993. Funt, B., Brockingtong, M. and Tong, F., 'Conformal Transplantaiton of Lightness to Varying Resolution Sensors,' Proceedings of IEEE Conference On Computer Vision and Pattern Recognition , 563-569, New York, June 1993. Funt, B.V., and Drew, M., 'Color Space Analysis of Mutual Illumination,' IEEE Transactions on Pattern Analysis and Machine Intelligence, 15(12) 1319-1325, 1993. Funt, B.V., 'Modeling Reflectance by Logarithmic Basis Functions,' Proc. First Color Imaging Conference, Scottsdale, Nov. 1993. Funt, B.V., ' Experiential Reasoning (Abstract) ', 1992 AAAI Spring Symposium on Reasining with Diagrammatic Representations , AAAI, Mar. 1992. Funt, B.V., Drew, M.S. and Brockingham, M., 'Recovering Shading from Color Images', Proceedings:European Conference on Computer Vision, ECCV92 , Italy, May 1992. Drew, M. and Funt, B.V., 'Variational Approach to Mutual Illumination in Color Images,' Journal of the Optical Society of America A, 32(9) 1992. Funt, B.V., and Drew, M., 'Natural Metamers,' Computer Vision Graphics and Image Processing: Image Understanding, 56 (2) 139-151, 1992. Funt, B.V. and Drew, M.S., 'Color Space Analysis of Mutual Illumination', in Physics-Based Vision: Principles and Practice , Healey, G., Schafer, S., and Wolfe, L., ed., Jones and Bartlett Publishers Inc., 1992 Funt, B.V., Drew, M.S., and Ho, J., 'Color constancy from mutual reflection', in Physics-Based Vision: Principles and Practice , Healey, G., Schafer, S. and Wolfe, L., ed., Jones and Bartlett Publishers Inc., 1992. Ho, J., Funt, B.V. and Drew, M.S., 'Separating a Color Signal into Illumination and Surface Reflectance Components: Theory and Applications', in Physics-Based Vision: Principles and Practice , Healey, G., Shafer, S. and Wolfe, L., ed., Jones and Bartlett Publishers Inc., 1992. Funt, B.V. and Drew, M.S., and Ho, J., 'Color constancy from mutual reflection', International Journal of Computer Vision , Vol, 6 1991, pp.5-24. Funt, B.V. and Ho, J., 'Color from Black and White', in Computer Vision: Advances and Applications , Kasturi, Rangachar and Jain Ramesh, ed., IEEE Computer Society Press, 1991. Funt, B.V., Drew, M. and Ho, J., 'Obtaining Colour Signal Spectra for Colour Constancy', Proceedings of the CSCSI/SCEIO Conference 1990 , May 1990 Drew, M.S. and Funt, B.V., 'Calculating surface reflectance using a single-bounce model of mutual reflection',, Proceedings: International Conference on Computer Vision , IEEE, Osaka, Dec. 4-7/1990, pp.394-399. Laughlin, R., Truax, B. and Funt, B.V., " Synthesis of Acoustic Timbres using Principal Component Analysis ," Proceedings: International Computer Music Conference , ICMC, Glasgow, Scotland 1990. Ho, J., Funt, B.V., and Drew, M.S., 'Separating a Color Signal into Illunination and Surface Reflectance Components: Theory and Applications', IEEE Transactions on Pattern Analysis and Machine Intelligence , Vol. 12 1990, pp. 966-977. Funt, B.V. and Ho, J., 'Color from Black and White', International Journal of Computer Vision , Vol. 3 No 2 1989, pp. 109-117. Tong, F. and Funt, B.V., 'Removing Specularities from Color Images for Shape from Shading', in Computer Vision and Shape Recognition , Eds. Krzyzak, A. Kasvand, T., and Suen, C., ed., 1989. Funt, B.V. and Ho, J., ' Color from black and white ', Proceedings of the Second International Conference on Computer Vision , IEEE, Tarpon Springs Dec. 5-8, 1988, pp.2-8, Winner of the 1988 Marr Prize as the best paper on computational vision Tong, F. and Funt, B.V., 'Specularity Removal for Shape for Shading', Vision Interface 88 , June 1988, pp. 98-103. Adamson-Sharpe, K. and Funt, B.V., 'A Catalogue of Colors of Natural Objects and Daylight for Computer Graphics', Proceedings of the Fifth Annual Canadian Information Processing Society Computer Conference , 1987, pp.301-304. Funt, B.V. and Bryant, E., 'Automatic Detection of Internal Log Defects by Computer Interpretation of CT-scan Images', Forest Products Journal , Vol. 37 No. 1 1987, pp. 56-62. Funt, B.V., 'Analogical Models of Reasoning and Process Modelling', in The Knowledge Frontier: Essays in the Representation of Knowledge , Cercone, N., and McCalla, G., ed., Springer-Verlag, 1987, pp. 99-104. Funt, B.V., ' Problem-Solving with Diagrammatic Representations ', in Readings inComputer Vision , M. Fischler and O. Firschein, ed., Morgan Kaufmann, 1987, pp. 456-470. Funt, B.V. and Bryant, E., 'A Computer Vision System that Analyses CT-scans of Sawlogs', Proceedings of IEEE Conference on Computer Vision and Pattern Recognitiohttp://www.cs.sfu.ca/~funt/ProblemSolvingWithDiagrammaticRepresentations_AIJournal1980.pdfn , San Francisco, June 9-13, 1985, pp. 175-177. Funt, B.V., 'Problem-Solving with Diagrammatic Representations ', in Readings in Knowledge and Representation , Brachman, R., and Levesque, H., ed., Morgan Kaufmann, 1985. Funt, B.V., 'Toward Automatic Sawlog Defect Detection Using Computer Tomography', Forintek Canada;s Technical Seminar: Scanning Technology for the Eighties , Nov 1984. Funt, B.V., 'Improved Lumber Yield by Three-Dimensional Analysis of Logs Using CT-scans', Forest Products Research Society 38th. Annual Meeting, St. Louis , June 1984 Funt, B.V., 'Analogical Models of Reasoning and Process Modelling', IEEE Computer , Vol. 16 No. 10 1983, pp. 99-104. Strothotte, T. and Funt, B.V.., 'Raster Display of a Rotating Object Using Parallel Processing', Eurographics Computer Graphics Forum , Vol. 2 No. 4 1983, pp.209-217. Funt, B.V., ' A Parallel Process Model of Mental Rotation ', Cognitive Science , Vol. 7 No. 4 1983, pp. 67-93. Bryant, E. and Funt, B.V., 'Feature Constraints for Computer Interpretation of CAT-scan Images of Logs', Proceedings of the Fourth Biennial Conference of the Canadian Society for Computational Studies of Intelligence , Saskatoon, 1982, pp. 48-51. Funt, B.V., 'Multi-Processor Rotation and Comparison of Objects', Proceedings of the Seventh International Joint Conference on Artificial Intelligence , August, 1981, pp. 218-220. Strothotte, T. and Funt, B.V., 'Raster Graphics Using Parallel Processing', Computer Graphics 81 , London, Oct. 1981, pp. 511-518. Funt, B.V., 'Towards Synthetic Imaages in Scene Analysis', Proceedings of the Third Biennial Conference of the Canadian Society for Computational Studies of Intelligence , Victoria, May, 1980, pp. 158-165. Funt, B.V., ' Problem-Solving with Diagrammatic Representations' , Artificial Intelligence , Vol. 13 No. 4 1980, pp. 201-230. Funt, B.V., 'Problem-Solving with the Aid of Diagrams and a Parallel Processing Retina', Proceedings of the Fifth International Joint Conference in Artificial Intelligence , MIT, August, 1977, pp. 459-464. Funt, B.V., 'The Use of Analogues in Problem-Solving', Proceedings of the First CSCSI/SCEIO National Conference ., 1976, pp.135-145. diff --git a/src/data/compiled_bios/3148.txt b/src/data/compiled_bios/3148.txt new file mode 100644 index 0000000000..fbb33b39c2 --- /dev/null +++ b/src/data/compiled_bios/3148.txt @@ -0,0 +1 @@ + Qianping Gu email : qgu@cs.sfu.ca Phone: +1-778-782-6705 Fax: +1-778-782-3045 Office: TASC I 8029 Professor of Computing Science B.Sc., Computer Science, Shandong University, China, 1982 M.Sc. Computer Science, Ibaraki University, Japan, 1985 Ph.D., Computer Science, Tohoku University, Japan, 1988 Laboratory Affiliations: Network Modeling Lab. Research Algorithms and Computation Network Communcations Parallel/Distributed Computing Faculty Home Page diff --git a/src/data/compiled_bios/3149.txt b/src/data/compiled_bios/3149.txt new file mode 100644 index 0000000000..98f53449ee --- /dev/null +++ b/src/data/compiled_bios/3149.txt @@ -0,0 +1 @@ +Search this site Hamarneh's MIA Research Group Menu Home News Members Ghassan's Bio Research Overview Publications Theses Software Data Patents Collaborators Funding Cancer MIA AgriTech Infrastructure Join our Team Teaching Contact Internal CS SFU Hamarneh's MIA Research Group HAMARNEH Biomedical Image Analysis Research Group Welcome to Prof. Hamarneh 's medical image analysis research group ( Computing Science , SFU ). Our research focuses on developing computer vision and machine learning techniques for automatically interpreting biomedical images for health applications. Use the left panel to navigate our website (e.g., members , publications , software ) to learn more about our activities and members or read our latest news feed below. join our team? Latest news 2019 Ghassan Hamarneh Made with the new GoogleSites , an effortless way to create beautifulsites. Create a site Report abuse diff --git a/src/data/compiled_bios/315.txt b/src/data/compiled_bios/315.txt new file mode 100644 index 0000000000..fc45d0e32f --- /dev/null +++ b/src/data/compiled_bios/315.txt @@ -0,0 +1 @@ + Brygg Ullmer @ Clemson Brygg Ullmer is the Human-Centered Computing (HCC) division chair and Professor within the School of Computing at Clemson University, where he also leads the Tangible Visualization group. Ullmer completed his Ph.D. at the MIT Media Laboratory ( Tangible Media group) in 2002, where his research focused on tangible user interfaces. He served as an Associate Professor at Louisiana State University, jointly within the CCT and Computer Science. Prior to that, he held a postdoctoral position in the visualization department of the Zuse Institute Berlin , internships at Interval Research (Palo Alto) and Sony CSL (Tokyo), and has been a visiting lecturer at Hong Kong Polytechnic 's School of Design . His research interests include tangible interfaces, computational genomics (and more broadly, interactive computational STEAM), visualization, and rapid physical and electronic prototyping. He also has a strong interest in computationally-mediated art, craft, and design, rooted in the traditions and material expressions of specific regions and cultures. His previous homepages (with much more content) are at LSU , ZIB , and the MIT Media Lab , and a partially created alternate homepage . CV ; publications via Google Scholar and ResearchGate Brygg Ullmer ( bullmer@clemson.edu ) Brygg / bullmer@clemson.edu diff --git a/src/data/compiled_bios/3150.txt b/src/data/compiled_bios/3150.txt new file mode 100644 index 0000000000..06fd8997d1 --- /dev/null +++ b/src/data/compiled_bios/3150.txt @@ -0,0 +1 @@ + Contact: Email: efiume@sfu.ca Fax: 778-782-3045 Office: SFU Burnaby,TASC 1 9233 Web: : diff --git a/src/data/compiled_bios/3151.txt b/src/data/compiled_bios/3151.txt new file mode 100644 index 0000000000..566e17505d --- /dev/null +++ b/src/data/compiled_bios/3151.txt @@ -0,0 +1 @@ + Pavol Hell Computational Combinatorics Address: School of Computing Science Simon Fraser University BURNABY, B.C., Canada V5A 1S6 phone 778-782-3391, fax 778-782-3045 email address for use by humans: pavol at (the little spiral) sfu (stands for Simon Fraser University) dot (bots, are you confused yet ?) ca (for Canada) Summer Workshops on Graph Algorithms at SFU GRAPHS AND HOMOMORPHISMS (First Edition) - by Hell and Nesetril Errata Education: Charles University, Prague, 1964-68 M.Sc. 1970, McMaster University Ph.D. 1973, Universit de Montral Scientific Ancestors: Mathematics Genealogy Project . My ancestors Areas of Interest: Algorithmic Graph Theory Complexity of Algorithms Combinatorics of Networks Editorial Boards: Journal of Graph Theory (Managing Editor) Discrete Applied Mathematics PeerJ Indian Journal of Discrete Mathematics Czechoslovak Mathematical Journal Useful Links: SFU Discrete Math Seminar Erds Number Project Photo with Claude Berge, 1971 Ph.D. Students: KO Chen Shung, Rutgers University Ph.D. 1979 Martin FARBER, Rutgers University Ph.D. 1982 ZHOU Hui Shan, Simon Fraser University Ph.D. 1988 Gary MacGILLIVRAY , Simon Fraser University Ph.D. 1989 HUANG Jing , Simon Fraser University Ph.D. 1992 Richard BREWSTER , Simon Fraser University Ph.D. 1993 Bruce BAUSLAUGH, Simon Fraser University Ph.D. 1994 Roman BACIK, Simon Fraser University Ph.D. 1996 Narayan VIKAS, Simon Fraser University Ph.D. 1997 Reza NASERASR , Simon Fraser University Ph.D. 2003 Loana Tito NOGUEIRA , Universidade Federal do Rio de Janeiro PhD. 2003 (with S. Klein and F. Protti) Cynthia LOTEN Simon Fraser University Ph.D. 2004 Juraj STACHO, Simon Fraser University Ph.D. 2008 (Dean's Medal for Academic Excellence) Mehdi KARIMI, Simon Fraser University Ph.D. 2009 (with Arvind Gupta) Payam VALADKHAN, Simon Fraser University Ph.D. 2013 (with Gabor Tardos) Shenwei HUANG, Simon Fraser University Ph.D. 2016 (Governor General's Gold Medal) Mayssam Mohammad NEVISI, Simon Fraser University Ph.D. 2016 Leo LIANG, Simon Fraser University, current Ph.D. student (with Qianping Gu) Jan BOK, visiting PhD student, spring 2019 Other Supervision: Postdoctoral Fellows M.Sc. Students Monograph: GRAPHS AND HOMOMORPHISMS (with J. Nesetril), Oxford University Press , 2004 Publications: A recent list in pdf Back to my faculty home page diff --git a/src/data/compiled_bios/3152.txt b/src/data/compiled_bios/3152.txt new file mode 100644 index 0000000000..cee71410f2 --- /dev/null +++ b/src/data/compiled_bios/3152.txt @@ -0,0 +1 @@ + Valentine Kabanets Associate Professor Algorithms and Complexity Theory Lab School of Computing Science Simon Fraser University email: kabanets@cs.sfu.ca phone: +1 778 782 6912 fax: +1 778 782 3045 office: TASC1 8011 School of Computing Science Simon Fraser University 8888 University Drive Burnaby, B.C. Canada V5A 1S6 Research Supervision & Teaching Service & Awards Current Research Publications Talks Graduate Students & Postdocs Courses Summer Internships Service Awards Recent Funding diff --git a/src/data/compiled_bios/3153.txt b/src/data/compiled_bios/3153.txt new file mode 100644 index 0000000000..8d8569b84e --- /dev/null +++ b/src/data/compiled_bios/3153.txt @@ -0,0 +1 @@ + Ramesh Krishnamurti Parallel Processing and Approximation Algorithms email : ramesh@cs.sfu.ca Professor of Computing Science B.Tech. Electrical Engineering, Indian Inst. of Tech., 1974 M.Tech. Electrical Engineering, Indian Inst. of Tech., 1977 Ph.D. Computer and Information Science, Univ. of Pennsylvania, 1987. Current Research Recent Funding Selected Publications Additional Information Back to Faculty Home Page diff --git a/src/data/compiled_bios/3154.txt b/src/data/compiled_bios/3154.txt new file mode 100644 index 0000000000..b8f1e38ece --- /dev/null +++ b/src/data/compiled_bios/3154.txt @@ -0,0 +1 @@ + Ze-Nian Li Computer Vision, Multimedia email : li@cs.sfu.ca Professor of Computing Science B.Sc. Electrical Engineering, University of Science and Technology of China, 1970 M.Sc. Computer Sciences, University of Wisconsin-Madison , 1981 Ph.D. Computer Sciences, University of Wisconsin-Madison , 1986. Laboratory Affiliations: Vision and Media Lab Current Research Selected Publications Courses Taught Textbook: Fundamentals of Multimedia, 2nd ed., Springer, 2014. Additional Information Back to Faculty Home Page diff --git a/src/data/compiled_bios/3155.txt b/src/data/compiled_bios/3155.txt new file mode 100644 index 0000000000..2bc79d9200 --- /dev/null +++ b/src/data/compiled_bios/3155.txt @@ -0,0 +1 @@ +Search this site Menu Home Team Projects In the Media Home Team Projects In the Media More Home Team Projects In the Media We build robots that are useful, friendly and fun! We believe that robots can help us automate simple, repetitive tasks while bringing joy to our lives. We work on 3 main areas: Building robots that are useful and interact naturally and seamlessly with humans. Developing smart AI software to help robots understand what humans do , think , feel and mean . Creating new AI algorithms and implementing models of the human mind based on neuroscience, psychology and developmental science. Our Methods We use the following techniques and approaches for our research and development. Multimodal signal processing (computer vision, sound and speech processing, tactile, laser, sonar, infrared, accelerometer/gyroscope) Machine learning Affective computing Developmental robotics In-the-wild data collection and testing User experience studies for human-robot interaction (HRI) Cognitive and behavioural modeling Artist-in-the-loop paradigms, with inspiration from films, games and music Research Questions Some of the questions we're trying to uncover include: Could a robot understand all the different meanings of a smile? How does AI in a robot body differ from non-embodied AI? How does context influence what humans and robots can perceive? What are the cultural similarities and differences in emotions and interactions? How are they learned? How does expression and understanding of emotions change human-robot interaction? How does interacting with a robot differ from interacting with a smartphone, PC or human? What would happen with a robot with a very long-term memory? And more... Who's Rosie? ROSIE stands for Robots with Social Intelligence and Empathy . We are inspired by Rosie, a helper robot from the Jetsons TV show who assisted in daily tasks as well as kept up people's spirits with her sassy personality. About Us The SFU Rosie Lab is led by Dr. Angelica Lim , a Rajan Family Assistant Professor of Professional Practice in the School of Computing Science at Simon Fraser University. We are located on the Burnaby Campus in Vancouver, Canada, sharing lab space with the awesome folks at the SFU Autonomy Lab . Check them out! Image credit: "Robot and girl" by Jessica Lindsay . Fun Fact: Did you know that SFU Burnaby was the filming site for Caprica , a fictional planet in the sci-fi series Battlestar Galactica? Made with the new GoogleSites , an effortless way to create beautifulsites. Create a site Report abuse diff --git a/src/data/compiled_bios/3156.txt b/src/data/compiled_bios/3156.txt new file mode 100644 index 0000000000..de6e2d6b46 --- /dev/null +++ b/src/data/compiled_bios/3156.txt @@ -0,0 +1 @@ + Greg Mori Research Director Borealis AI Vancouver Professor School of Computing Science Simon Fraser University 8888 University Drive Burnaby, BC CANADA V5A 1S6 Faculty office: TASC1 8007 Phone: (778) 782-7111 Fax: (778) 782-3045 mori@cs.sfu.ca Ph.D. in Computer Science, University of California at Berkeley , 2004. Hon. B.Sc. in Computer Science and Mathematics, University of Toronto , 1999. QUICK LINKS [Publication list] , [Students and Postdocs] , [Teaching] , [Curriculum Vitae] BIOGRAPHY Dr. Greg Mori was born in Vancouver and grew up in Richmond, BC. He received the Ph.D. degree in Computer Science from the University of California, Berkeley in 2004. He received an Hon. B.Sc. in Computer Science and Mathematics with High Distinction from the University of Toronto in 1999. He spent one year (1997-1998) as an intern at Advanced Telecommunications Research (ATR) in Kyoto, Japan. After graduating from Berkeley, he returned home to Vancouver and is currently a Professor in the School of Computing Science at Simon Fraser University . He was a Visiting Scientist at Google in Mountain View, California in 2014-2015. He served as Director of the School of Computing Science from 2015-2018. He is now Research Director for RBC's Borealis AI Vancouver lab . Dr. Mori conducts research in computer vision and machine learning, and teaches classes in data structures and programming, artificial intelligence, computer vision, and machine learning. He served on the editorial boards of IJCV and T-PAMI, the top journals in computer vision, and on the organizing committees for NIPS, CVPR, ICCV, and ECCV, the top conferences in computer vision and machine learning. He will be a Program Chair for CVPR 2020. He is privileged to have worked with many excellent students while at SFU. RESEARCH INTERESTS My research is in computer vision, and is concerned with developing algorithms that automatically interpret images and videos, particularly those containing people. I have made significant contributions towards solving the problems of human pose estimation and human action recognition. At a broad level, the methodology followed is to construct features and representations that capture our intuition regarding these vision problems. We operationalize these via machine learning algorithms, adapting them to suit our purposes. Specific examples of features and representations include work on superpixels for representing images, motion features for human action recognition, and our structured models for video sequences and group activities. We have developed variants of machine learning algorithms such as hidden Conditional Random Fields (hCRF), Latent Dirichlet Allocation (LDA), latent SVMs, and deep networks to implement these ideas. Research interests keywords: computer vision machine learning video analysis human activity recognition human body pose estimation pedestrian detection and tracking object recognition Please see the Vision and Media Lab for a list of research projects, or my list of publications for more details. STUDENT NEWS Yifang Fu successfully defended her M.Sc. thesis Deep Video Visual Relation Detection . Congratulations Yifang! Jiawei He (PhD) and Yu Gong had a paper accepted to the Bayesian Deep Learning Workshop (at NeurIPS) , 2018. A method for learning latent dependency structures in VAEs is developed. Jiawei He (PhD) had a paper accepted to the Symposium on Advances in Approximate Bayesian Inference (at NeurIPS) , 2018. The paper describes a semantic prior for image generation. Mostafa S. Ibrahim successfully defended his Ph.D. thesis Deep Models for Multi-Person Activity Understanding . Congratulations Mostafa! Zhiwei Deng (PhD), Jiacheng Chen (BSc), and Yifang Fu (MSc) had a paper accepted to Neural Information Processing Systems (NIPS) , 2018. A programmatic approach to constructing priors for VAE-based generative models for complex scenes is proposed. Jiawei He (PhD) had a paper accepted to the European Conference on Computer Vision (ECCV) , 2018. A temporal variational auto-encoder for synthesizing controllable sequences of human motion is presented. Changan Chen (BSc) and Fred Tung (PDF) had a paper accepted to the European Conference on Computer Vision (ECCV) , 2018. A deep network compression algorithm for meeting operational performance constraints is presented. Ruizhi Deng (MSc) and Zhiwei Deng (PhD) had a paper accepted to the European Conference on Computer Vision (ECCV) , 2018. A sparse aggregation approach for deep neural networks is proposed and analyzed. Fabien Baradel (visiting PhD) had a paper accepted to the European Conference on Computer Vision (ECCV) , 2018. An object reasoning approach to video understanding is presented. Moustafa S. Ibrahim (PhD) had a paper accepted to the European Conference on Computer Vision (ECCV) , 2018. A relational neural network layer for supervised and unsupervised learning of human-contextual feature learning for group activity recognition is presented. Mengyao Zhai (PhD), Ruizhi Deng (MSc), Jiacheng Chen (BSc), Lei Chen (PhD) and Zhiwei Deng (PhD) had a paper accepted to the British Machine Vision Conference (BMVC) , 2018. An adaptive rendering approach for generating images of human action is developed. Fred Tung (PDF) had a paper accepted to IEEE Computer Vision and Pattern Recognition (CVPR) , 2018. Deep network weight pruning and quantization are learned in parallel with training. Jiawei He (PhD), Zhiwei Deng (PhD), and Moustafa S. Ibrahim (PhD) had a paper accepted to IEEE Winter Conf. on Applications of Computer Vision (WACV) , 2018. A class-independent action tublet network for human action localization is presented. Akash Abdu Jyothi successfully defended his M.Sc. thesis Generating Natural Language Summaries for Image Sets . Congratulations Akash! Nelson Nauata successfully defended his M.Sc. thesis Structured Label Inference for Visual Understanding . Congratulations Nelson! Jon Smith successfully defended his M.Sc. thesis REP3D: 3D Human Motion Capture Dataset for Athletic Movement . Congratulations Jon! [less new news] TEACHING CMPT 225: Data Structures and Programming [ Spring 2013 , Spring 2012, Spring 2010] CMPT 310: Artificial Intelligence [ Fall 2008 , Fall 2007, Fall 2006, Fall 2005, Summer 2005, Fall 2004] CMPT 419/726: Machine Learning [ Fall 2018 , Fall 2016, Fall 2015, Fall 2014, Fall 2013, Fall 2011, Fall 2009, Summer 2008] CMPT 882: Recognition Problems in Computer Vision [ Summer 2009 , Fall 2007 , Fall 2006 , Fall 2005 , Fall 2004 ] CMPT 888: Human Activity Recognition [ Summer 2010 ] Statistical and Structural Recognition of Human Actions [ ECCV 2010 tutorial ] Emerging Topics in Human Activity Recognition [ CVPR 2014 tutorial ] Human Activity Recognition [ CVPR 2018 tutorial ] [ slides ] STUDENTS AND POSTDOCS Current Postdoc: Thibaut Durand, Fred Tung Ph.D.: Lei Chen, Zhiwei Deng , Jiawei He , Akash Abdu Jyothi , Mehran Khodabandeh , Nazanin Mehrasa, Srikanth Muralidharan , Megha Nawhal , Mengyao Zhai M.Sc.: Ruizhi Deng , Yu Gong , Sha Hu B.Sc.: Jiacheng Chen Former Kevin Cannons , Postdoctoral fellow 2011-2013 (next IKOMED) Wang Yan, Postdoctoral fellow 2013-2017 (next ScopeMedia) Yang Wang , Learning Structured Models for Human Actions and Poses , Ph.D. Summer 2009 (next NSERC postdoc at UIUC, then U. Manitoba) Mani Ranjbar , Optimizing Non-Decomposable Loss Functions In Structured Prediction , Ph.D. Summer 2012 (next D-Wave Systems) Weilong Yang , Discriminative Latent Variable Models For Visual Recognition , Ph.D. Fall 2012 (now at Google Research) Tian Lan , From Flat to Hierarchical: Modeling Structures in Visual Recognition , Ph.D. Summer 2013 (next postdoc at Stanford, then Amazon) Nataliya Shapovalova , Towards Action Recognition and Localization in Videos with Weakly Supervised Learning , Ph.D. Fall 2014 (next Amazon) Arash Vahdat , Weakly Supervised Models For Recognizing And Clustering High-Level Complex Events In Video , Ph.D. Fall 2014 (next research faculty at SFU, then D-Wave Systems) Hossein Hajimirsadeghi , Multiple Instance Learning for Visual Recognition: Learning Latent Probabilistic Models , Ph.D. Fall 2015 (next Oracle Labs Vancouver, then Borealis AI). Guang-Tong Zhou , Toward Scene Recognition by Discovering Semantic Structures and Parts , Ph.D. Fall 2015 (next Oracle Labs Vancouver, then Facebook). Moustafa S. Ibrahim , Deep Models for Multi-Person Activity Understanding , Ph.D. Fall 2018. Payam Sabzmeydani , Detecting Pedestrians in Still Images Using Learned Shape Features , M.Sc. Fall 2006 (next Koolhaus Games, then AirG) Andy Rova , Eigen-CSS Shape Matching and Recognizing Fish in Underwater Video , M.Sc. Spring 2007 Topher Johnson , Responsive Video-Based Motion Synthesis Using Motion Graphs , M.Sc. Summer 2007 (next Blast Radius) Maryam Moslemi , Clustering and Visualizing Actions of Humans and Animals Using Motion Features , M.Sc. Fall 2007 (next UIUC M.Sc. student, then Salesforce.com) Alireza Fathi , Efficient Human Figure Tracking Using Motion Exemplars , M.Sc. Summer 2008 (next Georgia Tech Ph.D. student, then Stanford postdoc, then Google) William Ma , Motion Estimation For Functional Medical Imaging Studies Using A Stereo Video Head Pose Tracking System , M.Sc. Summer 2009 (next Leovation) Mohammad Norouzi , Convolutional Restricted Boltzmann Machines for Feature Learning , M.Sc. Fall 2009 (next U of Toronto Ph.D. student, then Google) Weilong Yang , Learning Transferable Distance Functions For Human Action Recognition And Detection , M.Sc. Spring 2010 (next SFU Ph.D. student) Bahman Yari Saeed Khanloo, Combining Simple Trackers Using Structural SVMs For Offline Single Object Tracking , M.Sc. Summer 2010 (next CWI Ph.D. student) Tian Lan , Beyond Actions: Discriminative Models For Contextual Group Activities , M.Sc. Summer 2010 (next SFU Ph.D. student) Ferdinand Stefanus , Automatic Pedestrian Detection and Tracking with a Multiple-Cue Max-Margin Framework , M.Sc. Fall 2010 (next MacDonald, Dettwiler and Associates Ltd. (MDA)) Arash Vahdat , A Key Pose Model For Human Interaction Recognition And Color From Gray By Optimized Color Ordering , M.Sc. Spring 2011 (next SFU Ph.D. student) Bo Gao , Exemplar-Based Human Interaction Recognition: Features And Key Pose Sequence Model , M.Sc. Summer 2011 (next Software Engineer at Trusterra Inc., then Fortinet, then Microsoft) Pengfei Yu , Image Classification Using Latent Spatial Pyramid Matching , M.Sc. Summer 2011 (next Microsoft, then Facebook) Brian Milligan , Selecting And Commanding Groups Of Robots Using A Vision-Based Natural User Interface , M.Sc. Summer 2012 (next Big Park / Microsoft) Zhi Feng Huang , Latent Boosting For Action Recognition , M.Sc. Summer 2012 (next Apple) Amir Bakhtiari , Detecting Pedestrians Using Motion Patterns: A Latent Tracking Approach , M.Sc. Fall 2013 (next Vidigami) Yasaman Sefidgar , Discriminative Key-Segment Model for Interaction Detection, M.Sc. Spring 2014 (next The Jonah Group) Jinling Li , Road User Detection and Analysis in Traffic Surveillance Videos , M.Sc. Summer 2014 (next Netra) Mehran Khodabandeh , Discovering Human Interactions in Videos with Limited Data Labeling , M.Sc. Spring 2015 (next SFU PhD student) Mengyao Zhai , Object Detection in Surveillance Video from Dense Trajectories , M.Sc. Fall 2015 (next SFU PhD student) Zhiwei Deng , Deep Structured Models for Group Activity Recognition , M.Sc. Fall 2015 (next SFU PhD student) Lei Chen, Learning Action Primitives for Multi-Level Video Event Understanding , M.Sc. Fall 2015 (next SFU PhD student) Srikanth Muralidharan , A Hierarchical Deep Temporal Model for Group Activity Recognition , M.Sc. Spring 2016 (next SFU PhD student) Yatao Zhong , Learning Person Trajectory Features for Sports Video Analysis , M.Sc. Spring 2017 (next Oracle Labs Vancouver, then Microsoft) Karoon Rashedi Nia, Automatic Building Damage Assessment Using Deep Learning and Ground-Level Image Data , M.Sc. Spring 2017 (next Oracle Labs Vancouver) Nazanin Mehrsasa, Learning Person Trajectory Representations for Team Activity Analysis , M.Sc. Spring 2017 (next SFU PhD student) Xiaoyu Liu , Joint Constrained Clustering and Feature Learning based on Deep Neural Networks , M.Sc. Summer 2017 (next Altumview Systems) Jon Smith, REP3D: 3D Human Motion Capture Dataset for Athletic Movement , M.Sc. Fall 2017 (next CBC) Nelson Nauata , Structured Label Inference for Visual Understanding , M.Sc. Spring 2018 (next SFU PhD student) Akash Abdu Jyothi , Generating Natural Language Summaries for Image Sets , M.Sc. Summer 2018 (next SFU PhD student) Yifang Fu , Deep Video Visual Relation Detection , M.Sc. Fall 2018 (next Microsoft) Jen Fernquist, NSERC Undergraduate Student Research Award (USRA) , Summer 2006 (next MDA, then UBC M.Sc. student, then Google) Chris Lundgren, NSERC Undergraduate Student Research Award (USRA) , Summer 2006 (next Safe Software) Angelica Lim, NSERC Undergraduate Student Research Award (USRA) , Spring 2008 (next Google, then Monbukagakusho Ph.D. at Kyoto U.) Bo Chen, CMPT 415 Directed Studies, RA , Spring - Summer 2007, Summer 2008 (next UBC M.Sc. student, then Caltech Ph.D. student) Mark Bayazit, NSERC Undergraduate Student Research Award (USRA), RA , Summer - Fall 2008 (next at ShipSmartly.com Enterprises Inc.) Aditya Ramesh, NSERC Undergraduate Student Research Award (USRA) , Summer 2009 (next Stanford M.Sc. student) Ben Reilly, RA , Spring 2011 (next Toronto M.Sc.) Jia Sun, RA , Spring 2011 Wesley May, NSERC Undergraduate Student Research Award (USRA) , Summer 2011 (next Toronto M.Sc.) Youyou Yang, RA , Fall 2011 - Spring 2012 Pouria Mahmoudi Saghalati, NSERC Undergraduate Student Research Award (USRA) , Summer 2012 Yuke Zhu, RA , Summer - Fall 2012 (next Stanford Ph.D. student) Jeff Hsu, NSERC Undergraduate Student Research Award (USRA) , Summer 2014 Yuhao Liu, RA , Summer 2014 - Spring 2015 (next UC Berkeley M.Sc. student) Hexiang Hu, RA , Summer 2015 - Spring 2016 (next UCLA Ph.D. student) Jordan Yap , RA, USRA , Summer 2013 - Fall 2016 (next MetaOptima) Bicheng Xu, VPR USRA, RA , Summer 2016 - Summer 2017 (next UBC MSc student) Changan Chen, RA , Summer 2017 - Spring 2018 Are you a prospective student? Please read this page for prospective students . SERVICE Associate Editor, IEEE Transactions on Pattern Analysis and Machine Intelligence (2010-2018) Editorial Board, International Journal of Computer Vision (2013-) Program Chair, IEEE Computer Vision and Pattern Recognition (CVPR 2020) Program Chair, Asian Conference on Computer Vision (ACCV 2018) Program Chair, IEEE Winter Conference on Applications of Computer Vision (WACV 2016) Area Chair: IEEE Computer Vision and Pattern Recognition (CVPR 2012, 2014, 2017, 2018) IEEE International Conference on Computer Vision (ICCV 2015) European Conference on Computer Vision (ECCV 2014, 2018) Neural Information Processing Systems (NIPS 2017, 2018) Outstanding Reviewer Award (ICCV 2009, CVPR 2010) VITA Publication list Brief biography Full curriculum vitae AFFILIATIONS Vision and Media Lab Scientific Data Aquisition, Transportation and Storage Research Lab (SDATS) Technology for Injury Prevention in Seniors (TIPS) diff --git a/src/data/compiled_bios/3157.txt b/src/data/compiled_bios/3157.txt new file mode 100644 index 0000000000..abcce8ce76 --- /dev/null +++ b/src/data/compiled_bios/3157.txt @@ -0,0 +1 @@ + Dr. Steven Pearce School of Computing Science Simon Fraser University Curriculum Vitae Favorite Quote: "[O]ur comparative ignorance of the laws of society and history is due not only to the great complexity of human affairs, but also to the very prejudice that there are no laws of history - a prejudice suspect of being allied to powerful social (or antisocial) interests that are vitally interested in preventing deep insights into the social mechanism . Et pour cause! People who are able to take the social mechanism apart in theory may wish to change it in practice , and - what is more dangerous for those who live on the persistence of fossil social forms - such men may even succeed in their attempt." -- Mario Bunge From the Peak (September 12, 2000): CMPT 320 was cited as one "... of the Best Classes at SFU". ACTIVITY Spring 2017: Study Leave: IIIT-A, India. Fall 2016: CMPT 320 (HC), MACM 101 Summer 2016: CMPT 320 Spring 2016: CMPT 300, CMPT 320, MACM 101 (Surrey) Fall 2016: CMPT 300, CMPT 320 Spring/Summer/Fall 2015: Study Leave, Indian Institute of Information Technology - Allahabad, India (Visiting Professor of Mathematics) Fall 2014: CMPT 300, CMPT 320 Summer 2014: CMPT 120, CMPT 320, MACM 101 Spring 2014: CMPT 300, CMPT 320, MACM 101 Fall 2013: CMPT 300 (HC), CMPT 320, CMPT 150 (FIC) Summer 2013: MACM 101, CMPT 300, CMPT 320 Spring 2013: CMPT 300, MATH 100 (FIC) Fall 2012: CMPT 300 (D1, E1), MACM 101, CMPT 320, MATH 100 (FIC) Summer 2012: MACM101, CMPT310, CMPT320, MATH894 Spring 2012: CMPT300, CMPT320, CMPT363, MATH130, CIS190 (UFV) Fall 2011: MACM101, CMPT320, CIS 145 (UFV) Summer, 2011: MACM101 , CMPT 320 , MATH894 Spring 2011: CMPT320 Summer, 2010 to Fall 2010: On Leave Fall 2009: MACM101, CMPT320, EASC108 Summer, 2009: MACM101 , CMPT 320 , CMPT120 Spring, 2009: CMPT100 Fall 2008: MACM101 , D1&E1 Summer 2008: CMPT165 , D1&C1 Spring, 2008: On Study Leave Fall, 2007: On Study Leave ( University of Magdelana ) Summer, 2007: CMPT 320 Spring, 2007: On Study Leave ( University of Magdelana and IMPA ) Fall, 2006 : MACM 101, 201 at Zhejiang University, PRC Summary of Courses Taught at SFU: Computing Science (100, 118, 120, 150, 165, 300, 310, 320, 415) Mathematics (MACM 101, 201; MATH 100, 232, 894) Physics (390) Earth Sciences (108) Graduate Students : MA student in Asia Pacific Policy (UBC), 2011 MSc student in Mathematics (SFU) current. PhD candidate in Communications (SFU) current. Courses Taught at Other Institutions: Pre-calculus. Calculus I, II, III, IV. Graduate level PDEs. Calculus for business. Calculus for the life sciences. Trigonometry. Physics - freshman level (non calculus and calculus based). Physics Laboratory (Freshman) Planetary science (Freshman). Astronomy (Freshman). Philosophy of Science Degrees: B.Sc. (Honors), University of British Columbia , 1981. M.Sc., University of British Columbia , 1984. Ph.D., University of Arizona , 1995. Research Interests: Spectral Methods in Mathematics Computational Magnetohydrodynamics (Pseudospectral) applied to Astrophysical Dynamo Theory. Computational Fluid Dynamics applied to Cratering Mechanics and Oceanic Impact Megatsunamis. Mathematical Inverse Theory applied to High Energy Astrophysics. Theoretical Technology . Reprints Available Upon Request Back to Faculty Home Page diff --git a/src/data/compiled_bios/3158.txt b/src/data/compiled_bios/3158.txt new file mode 100644 index 0000000000..d87a02d84a --- /dev/null +++ b/src/data/compiled_bios/3158.txt @@ -0,0 +1 @@ + Search Simon Fraser University Engaging the World Computing Science Computing Science This site SFU.ca A-Z directory Sign in Mail go SFU Canvas A-Z Directory a b c d e f g h i j k l m n o p q r s t u v w x y z Sign in SFU Mail go SFU Canvas Nav Home About Computing Science Overview Message from the Director History of the School Rankings and Recognition Facilities and Support Alumni Stories Student Stories Awards & Honors Contact Us People Overview Faculty Staff Graduate Students University Research Associates Ebco/Eppich Visiting Researchers Alumni Prospective Students Overview Undergraduate Students Graduate Students Current Students Overview Undergraduate Students Graduate Students Research Overview Research Areas Research Chairs Tech Reports and Theses Industry Relations Overview Hiring Computing Science Students Research Partnerships Advancement News & Events Overview News Archives Distinguished Lecture Series Calendar of Events Job Opportunities Intranet Follow and share Home / People / Faculty / Joseph Peters Joseph G. Peters Professor, School of Computing Science Contact: Tel: 778.782.3780 Email: peters@cs.sfu.ca Fax: 778.782.3045 Office: TASC 1 9009 Personal webpage: www.cs.sfu.ca/~peters/ Education Ph.D., Computer Science, University of Toronto, Canada, 1984 M.Sc., Computer Science, University of Toronto, Canada, 1976 B. Math., Computer Science, University of Waterloo, Canada, 1974 Research interests Modelling and performance analysis of communication networks Communication algorithms Distributed computation Multimedia networking Teaching interests Algorithms and Complexity Theory Network Communication Simulation and Modelling Recently taught courses CMPT 305 Computer Simulation and Modelling CMPT 307 Data Structures and Algorithms CMPT 371 Data Communications and Networking CMPT 705 Design and Analysis of Algorithms Selected recent publications F. Cicalese, G. Cordasco, L. Gargano, M. Milanic, J. Peters, and U. Vaccaro. Spread of Influence in Weighted Networks under Time and Budget Constraints. Theoretical Computer Science, 586(2015), 4058. L. Gargano, P. Hell, J.G. Peters, U. Vaccaro. Influence Diffusion in Social Networks under Time Window Constraints. Theoretical Computer Science, 584(2015), 5366. E. Coulouma, E. Godard, and J. Peters. A Characterization of Time-Homogeneous Dynamic Networks where Consensus is Solvable. Theoretical Computer Science, 584(2015), 8090. P.J. Giabbanelli and J.G. Peters. An Algebraic Approach to Combining Classifiers. ICCS 2015. Elsevier Procedia Computer Science, 51(2015), 15451554. A. Casteigts, R. Klasing, Y.M. Neggaz, J.G. Peters. Efficiently Testing T-Interval Connectivity in Dynamic Graphs. CIAC 2015, LNCS 9079, Springer-Verlag, 89100. H.A. Harutyunyan, A.L. Liestman, J.G. Peters, and D. Richards. Broadcasting and gossiping in communication networks. Handbook of Graph Theory, 2nd Ed., Chapter 12.2, CRC Press, 2013, 14771494. J.-C. Bermond and J.G. Peters. Optimal Gathering in Radio Grids with Interference. Theoretical Computer Science, 457(2012), 1026. P.J. Giabbanelli and J.G. Peters. Reseaux complexes et epidemies. Technique et Science Informatiques, Numero special sur Graphes de Terrain, vol 30:2(2011), 181212. M. Jamali Langroodi, J. Peters, and S. Shirmohammadi. Decoder-Complexity-Aware Encoding of Motion Compensation for Multiple Heterogeneous Receivers. ACM Transactions on Multimedia Computing, Communications, and Applications, 11:2s(2015), 46:146:22. M. Jamali Langroodi, J. Peters, and S. Shirmohammadi. Complexity Constrained Layering of Broadcast Video for Heterogeneous Mobile Receivers. ACM MoVid 2015, 16. M. Hosseini, J. Peters, and S. Shirmohammadi. Energy-Efficient 3D Texture Streaming for Mobile Games. ACM MoVid 2014, 5.15.6. M. Hefeeda, C.-H. Hsu, and J. Peters. Energy and bandwidth optimization in mobile video streaming systems. Advanced Video Communications over Wireless Networks, Chapter 6, CRC Press, Jan. 2013, 165210. F. Molazem Tabrizi, J.G. Peters, and M. Hefeeda. Dynamic Control of Receiver Buffers in Mobile Video Streaming Systems. IEEE Transactions on Mobile Computing, 15:5(2013), 9951008. P. Raoufi and J. Peters. Energy-Efficient Wireless Video Streaming with H.264 Coding. IEEE Workshop on GREEN Multimedia (ICME 2013), 16. M. Hosseini, J. Peters, and S. Shirmohammadi. Energy-Budget-Compliant Adaptative 3D Texture Streaming in Mobile Games. ACM Multimedia Systems (MMSys), 2013, 111. M. Hosseini, A. Fedorova, J. Peters, and S. Shirmohammadi. Energy-Aware Adaptations in Mobile 3D Graphics. ACM Multimedia 2012, 10171020. Listing on the DBLP CS Bibliography Server. Admission Programs Learning Research Community About Maps + directions Library Academic Calendar Road Report Give to SFU Emergency Information Connect with us Facebook Twitter YouTube Instagram Contact us Simon Fraser University 8888 University Drive Burnaby, B.C. Canada V5A 1S6 csweb@sfu.ca Terms and conditions Simon Fraser University diff --git a/src/data/compiled_bios/3159.txt b/src/data/compiled_bios/3159.txt new file mode 100644 index 0000000000..bb808045de --- /dev/null +++ b/src/data/compiled_bios/3159.txt @@ -0,0 +1 @@ + Janice Regan Lecturer School of Computing Science Simon Fraser University Contact information: email : jregan@cs.sfu.ca phone : 778-782-6911 office : TASC 9013 My approximate schedule Courses Recently Taught CMPT 102: Introduction to Scientific Computer Programming CMPT 128: Introduction to Computing Science and Programming for Engineers CMPT 275: Software Engineering I CMPT 300: Operating systems I CMPT 371: Data Communications and Networking CMPT 471: Networking II Degrees: B.Sc. (Honors), University of Victoria, 1979. M.S., California Institute of Technology, 1982. Ph.D., California Institute of Technology, 1987. Interests: Data communications, Software Engineering, Programming applications in science and engineering Real-Time Embedded programming in communications applications Numerical Modelling of wave propagation in Elastic Media for Earthquake ground motion prediction. Back to Faculty Home Page diff --git a/src/data/compiled_bios/316.txt b/src/data/compiled_bios/316.txt new file mode 100644 index 0000000000..69424b510d --- /dev/null +++ b/src/data/compiled_bios/316.txt @@ -0,0 +1 @@ + A-Z Index Calendar Campus Map CU Safety Phonebook Search James (Zijun) Wang Home Teaching Research Publication Laboratory Contacts Welcome to James Z. Wang 's Home I had worked in software industry for more than 8 years before joining Clemson University . I am currently working as a professor in the School of Computing . I got both my B.S. and M.S degrees in Computer Science from University of Science and Technology of China . I obtained my Ph.D. degree in Computer Science from University of Central Florida . I am a senior member of IEEE and ACM . 305 McAdams Hall, Clemson University Clemson, SC 29634, USA Phone: 864-656-7678 Fax: 864-656-0145 Email: jzwang AT cs DOT clemson DOT edu diff --git a/src/data/compiled_bios/3160.txt b/src/data/compiled_bios/3160.txt new file mode 100644 index 0000000000..dac6d7221c --- /dev/null +++ b/src/data/compiled_bios/3160.txt @@ -0,0 +1 @@ + Contact: Tel: 778-782-4542 Email: rws1@sfu.ca Office: TASC 1 9413, SFU Burnaby Personal webpage: www.sfu.ca/~rws1 : diff --git a/src/data/compiled_bios/3161.txt b/src/data/compiled_bios/3161.txt new file mode 100644 index 0000000000..d55f7435b1 --- /dev/null +++ b/src/data/compiled_bios/3161.txt @@ -0,0 +1 @@ + Home Biography Contact Grants News People Publications Research Service Software Student Theses 2013 - 2018 Anoop Sarkar CC BY-NC-SA 4.0 RSS feed . About this site . Anoop Sarkar SFU Computer Science Professor Natural Language Lab School of Computing Science Simon Fraser University Curriculum Vitae Google Scholar Github Twitter Biography Contact details If you are interested in working with me, before you email me, please read my First Contact guide. Research More on research Multilingual Natural Language Processing Machine learning for Natural Language Processing Machine Reading and Information Visualization News and Posts All news and posts Sorted by tags Invited talk at Michigan State 03 Nov 2017 Invited talk at U. Michigan 02 Nov 2017 Teaching Summer 2019: Compilers Fall 2018: Natural Language Processing Summer 2018: Computing Laboratory Fall 2017: Neural Machine Translation Spring 2015: Machine Learning for Decipherment Recent Publications and Talks All publications . . , ( ) : URL PDF BibTeX Abstract Abstract: Bibtex: Software All software Lensing Wikipedia [ Demo ] Interactive summaries of human history articles from Wikipedia [ More ] lrhiero Left to right decoding for statistical machine translation [ More ] Research Grants All grants Google Faculty Research Award, 2014-2015. NSERC Discovery Accelerator Supplements Program, 2012-2015. NSERC Discovery Grants Program, 2003-2007, 2007-2012, 2012-2017. Service All activities Local co-organizer, ACL 2017, Vancouver, BC Area co-chair, Machine Learning track, EMNLP 2017 Program co-chair, NAACL HLT 2015. Doctoral forum chair for SIAM International Conference on Data Mining, SDM 2015. Recently Graduated Students All students and postdocs Student theses Phd (Total: 6) Clifton, Ann. Latent structure discriminative learning for natural language processing . (from: Fall 2010 to: Fall 2015) Siahbani, Maryam. Left-to-right Hierarchical Phrase-Based Machine Translation . (from: Fall 2009 to: Summer 2016) MSc (Total: 22) Kambhatla, Nishant. Decipherment of Substitution Ciphers with Neural Language Models . (from: Fall 2016 to: Summer 2018) Born, Logan. Properties of Prefix Lexicalized Synchronous Grammars . (from: Fall 2016 to: Summer 2018) p.s. Did you try clicking on the three bars on the upper left? diff --git a/src/data/compiled_bios/3162.txt b/src/data/compiled_bios/3162.txt new file mode 100644 index 0000000000..de9fdab182 --- /dev/null +++ b/src/data/compiled_bios/3162.txt @@ -0,0 +1 @@ + Thomas C. Shermer Computational Geometry, Graph Theory, and Computer Graphics email : shermer@cs.sfu.ca Professor of Computing Science B.E.S. Electrical Engineering and Computer Science, The Johns Hopkins Univ., 1984 Ph.D. Computer Science, McGill Univ., 1989 Laboratory Affiliations: Algorithms Laboratory, Graphics and Multimedia Research Laboratory Current Research Recent Funding Selected Publications Additional Information Back to Faculty Home Page diff --git a/src/data/compiled_bios/3163.txt b/src/data/compiled_bios/3163.txt new file mode 100644 index 0000000000..0ad7f55df6 --- /dev/null +++ b/src/data/compiled_bios/3163.txt @@ -0,0 +1 @@ + Simon Fraser University sfu.ca Burnaby Surrey Vancouver Home Contact C.V. About Me Teaching Research Papers Talks Theorems SSS: Software Database Pointers Former Students Prospective Students Graduate Students Graduate Funding Possible Thesis Topics Undergraduate Students Undergraduate Funding Previous Lives My Youth in Chess Philosophy Miscellaneous NSF Project Ockham's Razor Learning Theory Oliver Schulte Professor School of Computing Science Simon Fraser University Burnaby, B.C. V5A 1S6 Canada Phone: +1-778-782-3390 Fax: +1-778-782-3045 Machine Learning for Structured Data Learning Theory Computational Game Theory Ph.D.: 1997, Carnegie Mellon University , Logic and Computation M.Sc.: 1993, Carnegie Mellon University , Logic and Computation B.Sc.: 1992, University of Toronto , Computing Science . Find time for a meeting: Work Schedule Affiliations Director Structured Machine Learning Lab Associate Member Department of Statistics Scientific Advisor for SportLogiq Member of SFU Sports Analytics Group I am looking for a postdoctoral fellow for Sports Analytics Research. This position is funded by our strategic project award, see below. My project description site has more information about the topics. Please send me a CV if you are interested in more details. Noteworthy Events Strategic Project award. I was the PI on a partnership award from the Natural Sciences and Engineering Research Council of Canada, totalling over $500K for 3 years. The success rate is 20%. Our company partner is Scientific Advisor for SportLogiq . My co-applicants are Greg Mori and Pascal Poupart. Best paper award from the StarAI@IJCAI workshop for the contribution from Manfred Jaeger and myself. The paper discusses how inference and learning for relational network data depends on the population size (node size). NSERC Discovery and Accelerator award. The Natural Sciences and Engineering Research Council of Canada has renewed my operating grant and given me a bonus award. The The Accelerator awards aim to provide substantial and timely additional resources to accelerate progress and maximize the impact of outstanding research programs. SFU News and Faculty of Applied Sciences News published an article about our paper at MIT Sloan conference. We said that Erik Karlsson was the best player in the 2015-2016 NHL season and hasn't he been great in 2016-17? My undergraduate RA and coauthor Zeyu Zhao has won the Dean's convocation medal for the Faculty of Applies Sciences. Next he'll be entering the M.Sc. Program at Harvard. Check out my tutorial in learning Bayesian networks for complex relational data . Presented at AAAI 2017, ECML 2016 and Canadian AI 2015. The faculty of Applied Sciences has made a video about some of my research on hockey analytics. I must learn to keep my eyes open while I talk. I co-organized the 2016 Vancouver Hockey Analytics Conference . You can see the presentations on-line. I especially recommend the media panel. #vanhac was hashtag number 4 in Canada on the day of the conference! Fatemeh Riahi received the best student paper award at the IEEE Symposium on Computational Intelligence for her paper "Model-based Outlier Detection for Object-Relational Data" Kurt Routley received an award for the best Canadian AI Master's Thesis of 2015 from the Canadian Artificial Intelligence Association. The IJCAI conference gave me a blue ribbon for my service on the Senior Program Committee 2016. The CTU Prague Relational Learning Repository is live now. It contains over 80 relational datasets for learning. I developed this together with Jan Motl. Here's a write-up of what you can find in it, including how to connect to the database server. diff --git a/src/data/compiled_bios/3164.txt b/src/data/compiled_bios/3164.txt new file mode 100644 index 0000000000..4375d4a8fc --- /dev/null +++ b/src/data/compiled_bios/3164.txt @@ -0,0 +1 @@ + Richard T. Vaughan Professor School of Computing Science Simon Fraser University 8888 University Drive Burnaby, BC V5A 1S6 Canada vaughan@sfu.ca Office: TASC1 8009 and Senior Engineering Manager, Apple Inc. Cupertino, California On leave from SFU through 2019. I am not taking new graduate students. Research A video of a November 2018 research talk for a general audience (YouTube) autonomous mobile robots; multi-robot systems; human-robot interaction, robot software engineering I direct the Autonomy Lab . Our research goal is to increase the capabilities, robustness and overall autonomy of mobile robot systems. My research has these main themes: applying the latest AI-based sensing techniques to robot navigation and human-robot interaction creating tools and techniques for programming, simulating and evaluating populations of robots applying models of animal behavior to extend or improve robots, particularly multi-robot systems My lab is part of the NSERC Field Robotics Network . I am an Associate Member of the Behavioural Ecology Research Group at SFU. Publications Autonomy Lab / Publications Google Scholar YouTube channel Students Autonomy Lab / People Teaching Current semester None. On leave from SFU. Previous semesters CMPT127: Computing Laboratory CMPT882: Special Topics in AI: Distributed Robot and Sensor Systems CMPT431: Distributed Systems CMPT889: Special topics in interdisciplinary computing science: Autonomous robots CMPT128: Introduction to computing science for engineers CMPT300: Operating Systems I CMPT401: Operating Systems II CMPT415: Directed study: Autonomous robots Software GitHub/rtv GitHub/AutonomyLab Player Project Selected Talks Jan 2019: Invited talk, Department of Automotive Engineering, Clemson University , Greenville, USA. Host: Venkat Krovi Nov 2018: SFU President's Faculty Lecture , Surrey, BC. Canada. Host: Andrew Petter May 2018: Keynote, ICRA 2018 , Brisbane, Australia. Host: Peter Corke Nov 2017: Invited talk, School of Computer Science, McGill University , Montreal, Canada. Host: Greg Dudek Mar 2017: Robotics Colloqium, University of Washington , Seattle, USA. Host: Dieter Fox Feb 2017. Invited talk, Bristol Robotics Labs , Bristol, UK. Host: Chris Melhuish Jan 2017. Workshop Presented by the World Top Leaders Robotics Big Bang for Humanity , Tohoku University, Sendai, Japan. Host: Satoshi Tadokoro May 2016: Symposium, CRV 2016 , Victoria, BC. Canada. Host: Faisal Qureshi Jun 2015, Keynote, RCAR 2015 , Changsha, China. Host: Yunhui Liu Service Program Chair IEEE/RSJ International Conference on Robotics and Automation (IROS 2017) Canadian Conference on Computer and Robot Vision (2007, 2008) Administration IEEE Robotics and Automation Society Administrative Committee (ADCOM) (2015-2019) Conference Activities Board (2015-) Technical Activities Board (2015-) Simon Fraser University Director of Undergraduate Programs, School of Computing Science (2011-2015) Editorial Boards Autonomous Robots journal (2012-) Journal of Software Engineering in Robotics (2010-) Associate Editor IEEE International Conference on Robotics and Automation (ICRA) (2010-2013) Selected Program / Review Committees RSS, ICRA, IROS, AAAI, IJCAI, ALife, AAMAS, ANTS, ECAL, SAB Awards Japan Toy Culture Foundation Novel Technology Paper Award for Amusement Culture, IROS, Japan (2018 and 2018) CIPPRS Award for Excellence in Service to the Research Community, Canada (2009) Best Paper, Symposium on Intelligent Robotic Systems, UK (1998) Previously Member of Technical Staff, HRL Laboratories (2001-2003) Postdoc, University of Southern California (1998-2001) DPhil Computation, University of Oxford (1999) BA Artificial Intelligence, University of Sussex (1993) diff --git a/src/data/compiled_bios/3165.txt b/src/data/compiled_bios/3165.txt new file mode 100644 index 0000000000..63037ca9e4 --- /dev/null +++ b/src/data/compiled_bios/3165.txt @@ -0,0 +1 @@ + Jiannan Wang Assistant Professor School of Computing Science Simon Fraser University Postdoc in the AMPLab at UC Berkeley (2015) Ph.D. at THU (2013), B.Sc. at HIT (2008) Research Areas: Database Systems, Big Data Science Office: TASC 1 9237 Phone: 1-778-782-4288 Email: jnwang@sfu.ca 8888 University Drive Burnaby, BC CANADA V5A 1S6 Open positions: If you would like to work with me on big data science research in the beautiful Greater Vancouver area, please email me your resume, a copy of undergraduate/graduate transcripts, and a short statement of research interests, with the following subject: [PhD/Master/Visiting Application] Name+Major+School. Research Interests The mission of our lab is to speed up data science . We develop innovative technologies and open-source tools for data scientists such that they can turn raw data into actionable insights in a more efficient manner. Our current research topics include: Data Cleaning for Machine Learning Crowdsourced Data Cleaning Data Enrichment with Deep Web Interactive Analytics Over Big Data Our lab's research is generously supported in part by NSERC , PHEMI , Simba , Traction on Demand , UMF , Vancity . News 2019/01/19 Want to enrich your local database with Deep Websites (e.g., Yelp, IMDb, DBLP)? Please check out our recent paper, entitled " Progressive Deep Web Crawling Through Keyword Queries For Data Enrichment. ", in SIGMOD 2019! 2019/01/11 I visited the Data Analytics and Intelligence Lab (DAIL) at Alibaba Group and gave a talk to introduce our lab's research (hosted by Dr. Bolin Ding ) 2019/01/10 I visited the Data Management, Exploration and Mining (DMX) group at Microsoft Research and gave a talk to introduce our lab's research (hosted by Dr. Yeye He ) 2019/01/03 I am teaching CMPT 733: Big Data Programming and CMPT 843: Traditional vs. Modern Database Systems for Spring Semester 2019. 2019/01/02 Welcome new lab members: Xiaoying Wang (M.Sc.) and Lydia Zheng (Undergrad)! 2018/11/16 Want to fill the gap between learning with noisy labels and ground-truth labels? Please check out our recent paper, entitled " Cleaning Crowdsourced Labels Using Oracles For Statistical Classification. ", in VLDB 2019! 2018/09/08 I am teaching CMPT 354: Database Systems for Fall Semester 2018. 2018/09/05 Received a Mitacs Accelerate fund ($990,000) for our proposal: "Democratizing Data Preparation for AI" (PI). 2018/08/31 Congratulations to Mohamad Dolatshah for successfully defending his M.Sc. thesis. 2018/08/03 I visited the Product Graph Team at Amazon and gave a talk to introduce our lab's research. (hosted by Dr. Xin Luna Dong ) 2018/04/18 I am thrilled to win IEEE TCDE Rising Star Award for my contribution to human-in-the-loop data analytics. More... Recent Publications [ DBLP ] [ Google Scholar ] 2019 Ruochen Jiang*, Changbo Qu*, Jiannan Wang, Chi Wang, Yudian Zheng. Towards Extracting Highlights From Recorded Live Videos: An Implicit Crowdsourcing Approach . Technical Report 2019 . [ Project Page ] (* Equally Contributed) Jing Nathan Yan, Oliver Schulte, Jiannan Wang, Reynold Cheng. CODED: Column-Oriented Data Error Detection with Statistical Constraints . Technical Report 2019 . Pei Wang, Ryan Shea, Jiannan Wang, Eugene Wu. Progressive Deep Web Crawling Through Keyword Queries For Data Enrichment . SIGMOD 2019 , Amsterdam, The Netherlands. Mohamad Dolatshah*, Mathew Teoh*, Jiannan Wang, Jian Pei. Cleaning Crowdsourced Labels Using Oracles For Statistical Classification . VLDB 2019 , Los Angeles, California [ Technical Report ] (* Equally Contributed) 2018 Jinglin Peng, Dongxiang Zhang, Jiannan Wang, Jian Pei. AQP++: Connecting Approximate Query Processing With Aggregate Precomputation for Interactive Analytics . SIGMOD 2018 , Houston, TX, USA. Pei Wang, Yongjun He, Ryan Shea, Jiannan Wang, Eugene Wu. Deeper: A Data Enrichment System Powered by Deep Web . SIGMOD 2018 , Houston, TX, USA. (Demo) ( system , video ). Chengliang Chai, Ju Fan, Guoliang Li, Jiannan Wang, Yudian Zheng. Crowd-Powered Data Mining . KDD 2018 , London, UK (Tutorial). Guoliang Li, Jiannan Wang, Yudian Zheng, Ju Fan, Michael J Franklin. Crowdsourced Data Management: Hybrid Human-Machine Data Management . Springer 2018 (Book). 2017 Liwen Sun, Michael J. Franklin, Jiannan Wang, Eugene Wu. Skipping-oriented Partitioning for Columnar Layouts . VLDB 2017 , Munich, Germany. Guoliang Li, Yudian Zheng, Ju Fan, Jiannan Wang, Reynold Cheng. Crowdsourced Data Management: Overview and Challenges . SIGMOD 2017 , Chicago, IL, USA. (Tutorial) [ slides ] Jiannan Wang, Nan Tang. Dependable Data Repairing with Fixing Rules . ACM Journal of Data and Information Quality (JDIQ) 8(4) (2017) Chuancong Gao, Jiannan Wang, Jian Pei, Rui Li, Yi Chang. Preference-driven Similarity Join . IEEE/WIC/ACM International Conference on Web Intelligence (WI 2017) , Leipzig, Germany [ Best Student Paper Award ] 2016 Ruochen Jiang, Jiannan Wang. Reprowd: Crowdsourced Data Processing Made Reproducible . HCOMP 2016 , Austin, TX, USA. (Demo) [ Website ] Sanjay Krishnan, Jiannan Wang, Eugene Wu, Michael J. Franklin, Ken Goldberg. ActiveClean: Interactive Data Cleaning For Statistical Modeling . VLDB 2016 , New Delhi, India. Daniel Haas, Jiannan Wang, Eugene Wu, Michael J. Franklin. CLAMShell: Speeding up Crowds for Low-latency Data Labeling . VLDB 2016 , New Delhi, India. Lingyang Chu, Zhefeng Wang, Jian Pei, Jiannan Wang, Zijin Zhao, Enhong Chen. Finding Gangs in War from Signed Networks . KDD 2016 , San Francisco, CA, USA. Sanjay Krishnan, Jiannan Wang, Michael J. Franklin, Ken Goldberg, Tim Kraska. PrivateClean: Data Cleaning and Differential Privacy . SIGMOD 2016 , San Francisco, CA, USA. Sanjay Krishnan, Michael J. Franklin, Ken Goldberg, Jiannan Wang, Eugene Wu. ActiveClean: An Interactive Data Cleaning Framework For Modern Machine Learning . SIGMOD 2016 , San Francisco, CA, USA. (Demo) [ Best Demonstration Award ] Xu Chu, Ihab F. Ilyas, Sanjay Krishnan, Jiannan Wang*. Data Cleaning: Overview and Emerging Challenges . SIGMOD 2016 , San Francisco, CA, USA. (Tutorial) [ slides ] (* Alphabetical Order) Guoliang Li, Jiannan Wang, Yudian Zheng, Michael J. Franklin. Crowdsourced Data Management: A Survey . TKDE 2016 . 2015 Sanjay Krishnan, Jiannan Wang, Michael J. Franklin, Ken Goldberg, Tim Kraska, Tova Milo, Eugene Wu. SampleClean: Fast and Reliable Analytics on Dirty Data . Data Engineering Bulletin 38(3):59-75 (2015). Daniel Haas, Sanjay Krishnan, Jiannan Wang, Michael J. Franklin, Eugene Wu. Wisteria: Nurturing Scalable Data Cleaning Infrastructure . VLDB 2015 , Kohala Coast, Hawai'i (Demo). Sanjay Krishnan, Jiannan Wang, Michael Franklin, Ken Goldberg, Tim Kraska. Stale View Cleaning: Getting Fresh Answers from Stale Materialized Views . VLDB 2015 , Kohala Coast, Hawai'i. Yudian Zheng, Jiannan Wang, Guoliang Li, Reynold Cheng, Jianhua Feng. QASCA: A Quality-Aware Task Assignment System for Crowdsourcing Applications . SIGMOD 2015 , Melbourne, VIC, Australia. [ More ] More... Students Current Students and Postdocs Pei Wang (PH.D., 2016-) Jinglin Peng (PH.D., 2017-) Changbo Qu (Ph.D., 2018-) Young Wu (M.Sc., 2017-) Xiaoying Wang (M.Sc., 2019-) Ruochen Jiang (M.Sc., 2018-) Xi Yang (SFU/ZJU Undergrad, 2018-) Lydia Zheng (SFU Undergrad, 2019-) Former Students Liang Zhao , Postdoc 2018-2019 (Next Assistant Professor at Xi'an Jiaotong University) Mohamad Dolatshah , M.Sc. 2016-2018 Mathew Teoh , Undergrad RA 2016-2017 (Next Data Scientist at Quora) Yongjun He , Visiting Student 2017 (Next SFU M.Sc. Student) Nathan Yan , Visiting Student 2017 Teaching CMPT 354: Database Systems [ Fall 2018 ] CMPT 843: Traditional vs. Modern Database Systems [ Spring 2019, Spring 2018, Spring 2017 ] CMPT 884: Human-in-the-loop Data Management [ Fall 2016 ] CMPT 732: Big Data Programming I [ Fall 2016 ] CMPT 733: Big Data Programming II [ Spring 2019, Spring 2018 , Spring 2017 , Spring 2016 ] Awards IEEE TCDE Rising Star Award (2018) IEEE/WIC/ACM Web Intelligence (WI) Best Paper Award (2017) ACM SIGMOD Best Demonstration Award (2016) China Computer Federation (CCF) Distinguished Dissertation Award (2013) Google Ph.D. Fellowship (2011) Professional Activities Program Committee SIGMOD: 2019 (core PC), 2018, 2017, 2016, 2016 (demo) VLDB: 2018, 2018 (demo), 2017 (demo) KDD: 2019, 2018 WWW: 2017 SDM (2018) CIKM (2017) HCOMP: 2019, 2016 ICDE/TKDE poster: 2017, 2016 DASFAA: 2019, 2019 (demo) WAIM: 2018, 2017, 2016, 2015, 2014 APWeb: 2017, 2016 Chairing SIGMOD 2017 Registration Chair WISE 2017 Publicity Co-Chair Others SFU Big Data Academic Advisory Committee Member (2017 - now) SFU KEY / Vancity Relationship Steering Committee Member (2017 - now) Adapted from a template by Liwen Sun . diff --git a/src/data/compiled_bios/3166.txt b/src/data/compiled_bios/3166.txt new file mode 100644 index 0000000000..92b10db338 --- /dev/null +++ b/src/data/compiled_bios/3166.txt @@ -0,0 +1 @@ + Education M.A., Applied Linguistics, University of Jyvaskyla, Finland B.A., Teaching Chinese as a Foreign Language, East China Normal University, China, Teaching interests Intensive Mandarin Chinese courses Heritage Mandarin courses Chinese Reading courses: Technical Chinese; Business Chinese : diff --git a/src/data/compiled_bios/3167.txt b/src/data/compiled_bios/3167.txt new file mode 100644 index 0000000000..0e59d344da --- /dev/null +++ b/src/data/compiled_bios/3167.txt @@ -0,0 +1 @@ + Home Publications Bio & CV People Services Teaching Personal Graphics J&Conf Frequented URLs Hao (Richard) Zhang - Professor haoz At cs DoT sfu period ca GrUVi Lab ; TASC I 8027; (O) 778-782-6843 Ph.D., Toronto (Dynamic Graphics Project) MMath, Waterloo (Computer Science) BMath, Waterloo (Faculty of Math) yonohu@WeChat >>> all papers >>> | Random bits on 3D printing | Prospective students/postdocs | Code & data | I am a professor in the School of Computing Science at SFU and I direct the graphics (GrUVi) lab . Currently, I am also the Associate Director, Research and Industrial Relations, as well as the Director of Professional Masters Program (Big Data and Visual Computing). My research is in computer graphics with special interests in geometric modeling, analysis and synthesis of 3D contents (e.g., shapes and indoor scenes), machine learning (e.g., generative models for 3D shapes), as well as computational design, fabrication, and creativity. IGS'19: International Geometry Summit 2019 to be held in Vancouver, SFU Harbour Center campus, June 17-21, 2019. Co-located conferences: GMP, SMI, SPM, SIAM GD. News: [new] December 10, 2018: Two new papers on learning generative models are made available on arXiv. One of them develops an implicit field decoder for generative modeling of shapes ( code ). The other, BranchGAN , trains image generators in a scale disentangled manner. [new] December 6, 2018: One of our latest works GRAINS is able to generate a plausible 3D indoor scene from random noise in fractions of a second. This work has been accepted to ACM TOG and will be presented at SIGGRAPH 2019. [new] September 20, 2018: Five SIGGRAPH Asia 2018 papers and one ACM TOG paper (pending minor revision) are available on the papers page . Very happy for four students Wallace, Akshay, Manyi, Shuhua, and two current and former postdocs Ali and Han, who are "first-timers"! See you in Tokyo for Asia 2018! [new] July 20, 2018: Today, officially wrapped up summer travel in 2018. Since late May, I have given 12 talks in 9 cities including Nanjing, Hangzhou, Lisbon (SMI'18 Keynote), Bintan Island of Indonesia (CGI'18 keynote), Tianjin, Hsingchu, Tainan (Taiwan CGW Keynote), Shenzhen, and Qingdao. [new] May 7, 2018: We will present four papers at SIGGRAPH 2018, including one TOG paper. The three SIGGRAPH 2018 papers are P2P-NET: Bidirectional Point Displacement Net for Shape Transform , Predictive and Generative Neural Networks for Object Functionality , and DSCarver: Decompose-and-Spiral-Carve for Subtractive Manufacturing . See publication page for more details. [new] March 24, 2018: I have had more than 40 ACM Trans. on Graphics (TOG) papers, but for the first time, we have a paper that has been awarded the Graphics Replicability Stamp :) The stamp is "An additional recognition for authors who are willing to go one step further, and in addition to publishing the paper, provide a complete open-source implementation." Thanks to the first author Fenggen Yu for his great effort. The paper is on semi-supervised analysis of 3D shape styles and will be presented at SIGGRAPH 2018 in Vancouver. [new] February 21, 2018: SFU CS is launching a NEW Professional Masters Program in Visual Computing in September 2018. It is the first of its kind in Canada. Application deadline is March 30, 2018; see How to Apply . [new] November 1, 2017: We now have a PyTorch implementation of our SIGGRAPH 2017 paper: Generative Recursive Autoencoder for Shape Structures. September 19, 2017: We will present a new SIGGRAPH (Asia) course on Modeling and Remodeling 3D Worlds in Thailand on November 29, 2017. Please check out the website periodically for updates. September 15, 2017: Rui Ma has successfully defended his PhD thesis on "Sub-Scene Level Analysis and Synthesis of 3D Indoor Scenes". Congrats to Rui! September 13, 2017: Two papers accepted to SIGGRAPH Asia 2017: 1) Learning to Predict Part Mobility from a Single Static Snapshot; 2) Learning to Group Discrete Graphical Patterns. August 26, 2017: Our paper "ExquiMo: An Exquisite Corpse Tool for Collaborative 3D Shape Design", first authored by Warunika Ranaweera , has won a Best Paper Award at CAD/Graphics 2017. Congrats, Warunika! August 25, 2017: I gave a keynote talk on "Can Machines Learn to Generate 3D Shapes" at the Biannual International Conference on Computer Aided Design and Graphics (CAD/Graphics) in Zhangjiajie, China. July 22, 2017: Our recent paper GRASS (Generative Recursive Autoencoders for Shape Structures) has been selected as one of six SIGGRAPH 2017 papers featured for press release; see press release here . July 22, 2017: Postdoc Changqing Zou will take up an Assistant Research Scientist position at the University of Maryland Institute for Advanced Computer Studies (UMIACS). July 20, 2017: DualGAN: Unsupervised Dual Learning for Image-to-Image Translation accepted to ICCV 2017. The key idea is to combine dual learning and generative adversarial networks for unsupervised generic image-to-image translation. The core idea is identical to that of a recent and concurrent work by Zhu et al. on Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks . June 15, 2017: The IEEE Special Issue on Computational Design and Fabrication, which I co-edited with Bedrich Benes, Dave Kasic, and Wilmot Li, is available now. The issue consists of four articles from Autodesk, Brown, MIT, and the University of Calgary, covering a diversity of topics. Check it out here . April 19, 2017: Two papers accepted to SIGGRAPH 2017 and one accepted to ACM Transaction on Graphics and to be presented at SIGGRAPH 2017: 1) Generative Recursive Autoencoder for Shape Structures (GRASS); 2) Deformation-Driven Shape Correspondence via Shape Recognition; and 3) Co-Locating Style-Defining Elements on 3D Shapes. December 23, 2016: Congrats to Jaime for successfully defending his MSC thesis on "Towards Learning of a Joint Geometry-Structure Manifold for Shape Exploration"! December 9, 2016: Congrats to Warunika for successfully defending her MSc thesis on "ExquiMo: An Exquisite Corpse Tool for Co-Creative 3D Shape Modeling". I would like to assure you that no person, dog, or any other animals were killed as the result of conducting this thesis research. October 15, 2016: Gave a talk at the China-Israel Workshop on Visual Computing and Machine Learning on "Learning Qualitative Multi-Attribute Organization of Diverse Data Collections", Kunming, China. September 12, 2016: I am on sabbatical from September 2016 to April 2017. I will spend four months at Stanford University (October 1 - January 31) as a visiting professor at the Guibas Lab . September 7, 2016: Welcome five new members to the group - Han Liu (postdoc), Akshay Patil (PhD), Nelson Nauata (MSc), Kiana Mostaghasi (MSc), and Zili Yi (visiting PhD). August 11, 2016: Gave an invited talk at Splunk , Vancouver, on ``Data-Driven Geometric Modeling: Stories from Two Sides". August 5, 2016: Gave a keynote talk at Canadian Conference on Computational Geometry (CCCG) 2016 on ``New Geometry Problems in Computational Design and Fabrication". June 14, 2016: Congrats to Zeinab for successfully defending her MSc thesis and publishing her first graphics paper! Her paper on Learning 3D Scene Synthesis from Annotated RGB-D Images has been accepted to and will be presented at SGP 2016 , as part of the International Geometry Summit , in Berlin. May 18, 2016: My first service award from SFU: 2016 Dean of Graduate Studies Awards for Excellence in Leadership. See news article . May 10, 2016: I am co-guest editor for an IEEE Special Issue on Computational Design and Fabrication Meet Computer Graphics . Submission deadline: September 1, 2016. May 1, 2016: My very first half marathon run at the BMO race . Obviously, I had a PB (personal best :), clocking in a time of 2:01:54. A super nice day in a super magical atmosphere. April 24, 2016: Three papers accepted to SIGGRAPH 2016: 1) Legible Compact Calligrams ; 2) Learning How Objects Function via Co-Analysis of Interactions ; 3) Connected Fermat Spirals for Layered Fabrication . More detials can be found on the publication page . March 15, 2016: Congratulations to Ibraheem Alhashim , who is the winner of the 2015 Alain Fournier Ph.D. Dissertation Award . This award is given to the top computer graphics Ph.D. dissertation defended in a Canadian university. Ibraheem defended his PhD thesis in November 2015 and received the "pass as is" honour given by the thesis committee. His thesis is titled "Topology-Varying Shape Matching and Modeling". See SFU news story and a nice picture of Ibraheem and his daughter . March 13, 2016: First time doing a run race with my wife, a 7-miler (11.2 KM), around Burnaby Lake. See results here . February 1, 2016: Check out our invited paper on "From inspired modeling to creative modeling" . And incidentally, this is my 100-th publication :) October 21, 2015: Our lab logo has changed, after a logo contest! The GrUVi lab is a Union of computer GRaphics and VIsion research. See details about the logo contest and here for a gallary of submissions from contestants . October 7, 2015: I have been invited this year to serve on the papers committees of SIGGRAPH 2016, Eurographics 2016, SGP 2016, SMI 2016, GMP 2016, and the editorial boards of the Visual Computer and the Computer & Graphics journals. September 14, 2015: Three papers, decompose-and-pack for 3D printing , deformation-driven topology-varying 3D shape correspondence , and generalized cylinder decomposition , have been accepted and will be presented at SIGGRAPH Asia 2015, which will be held in Kobe, Japan, Nov. 2-5. More details can be found on the publications page . August 10, 2015: PhD student Rui Ma won an MITACS Globalink Research Award to conduct research at Microsoft Research Asia in Beijing, from September 2015 to February 2016. August 7, 2015: Prof. Daniel Cohen-Or (Tel Aviv) and Prof. Hui Huang (SIAT, Shenzhen, China) have been appointed as adjunct professors at our school. Both of them have been my long-term collaborators. Dr. Baining Guo (MSRA) completed his three-year term as adjunct professor at SFU CS. August 4, 2015: We have a short paper accepted to Pacific Graphics 2015. The core idea is novel and neat: we propose to measure similarity between two shapes based on sparse reconstruction of shape descriptors, which is well suited to handle both full and partial (with moderate to significant amount of missing data) shape similarities. See paper here . August 2, 2015: Back from a two-week trip in China. During a span of 16 days, I visited the cities of Nanjing, Beijing, Qingdao, Shenzhen, Hefei, and Suzhou, giving a total of 7 talks on 5 topics. July 5, 2015: Honghua Li and our work on foldabilizing furniture is featured on SFU news. June 30, 2015: Shuyang Sun successfully defended his MSc thesis on "Structural Co-Consolidation of Shape Collections". Congrats, Shuyang! June 23-24, 2015: Talk on Shape Compaction for Design and Fabrication at the University of Waterloo and Autodesk Research. Slides available upon requests. June 6, 2015: Graphics Interface 2015 concluded in Halifax. Our excellent line-up of keynote and invited speakers were very well received. Graphics Interface 2016 will be held in Victoria, BC, from May 31 to June 3. June 2, 2015: Some media coverage of our latest work on foldabilizing furniture. April 24, 2015: Congrats to Howard Li for successfully defending his PhD thesis on "Shape Compaction via Stacking and Folding"! April 10, 2015: Two papers from SFU conditionally accepted to SIGGRAPH 2015. More details to follow. February 10, 2015: Check our new book on A Sampler of Useful Computational Tools for Applied Geometry, Computer Graphics, and Image Processing December 31, 2014: Two papers accepted to Eurographics 2015. December 15, 2014: Our work on approximate pyramidal decomposition is receiving some news and media coverage. I showed how the algorithm can be utilized to print a 3D Christmas tree more efficiently . See: SFU News ; 3Ders.org ; Sing Tao Daily (in Chineses). December 5, 2014: Code for Morfit (an interactive surface reconstruction algorithm published at SIGGRAPH Asia 2014) is available here . December 5, 2014: Our SIGGRAPH Asia 2014 Workshop on Creative Shape Modeling and Design has concluded. See a photgraph taken at the workshop . October 31, 2014: SIGGRAPH Asia 2014 course program and schedule . October 2, 2014: Two papers conditionally accepted to SIGGRAPH Asia 2014: Pyramidal decomposition (see project page ) and Morfit; see papers . August 8, 2014: Former Ph.D. Oliver van Kaick will start a tenure-track assistant professor position at School of Computer Science, Carleton University in September 2014. Congrats, Oliver! July 15, 2014: Two awards his year, an NSERC DAS (Discovery Accelerator Supplement) Award ($40K/year for three years) and a Faculty of Applied Sciences (FAS) Research Excellence Award (early career). June 16, 2014: Letter from the president came today, officially promoted to full professor :-) June 4, 2014: As of June 2014, I will take on the role of co-Editor-in-Chief for Computer Graphics Forum . May 1, 2014: Welcome Jaime Vargas joining the GrUVi lab! March 29, 2014: Two papers accepted to SIGGRAPH 2014: "Topology-Varying 3D Shape Creation via Structural Blending" and "Organizing Heterogeneous Scene Collection through Contextual Focal Points". February 25, 2014: Our paper on sparse dictionary learning for edit propagation of high-resolution images and video has been accepted to CVPR, to be held in Columbus, Ohio, in June 2014. February 19, 2014: Our paper on spectral global intrinsic symmetry invariant functions has been accepted to Graphics Interface, to be held in Montreal in May 2014. February 10, 2014: I gave a talk on Shape Compactions at Dagstuhl Seminar on New Perspectives on Shape Analysis . Send me a private email if you like to see the slides. December 2, 2013: I opened up a weibo on Sina: http://weibo.com/u/3926587854 November 21, 2013: I gave our SIGGRAPH Asia talk on projective shape analysis; it is a "PSA that shoots two birds with one stone" ;-) The presentation slides can be accesssed on the right under "Recent talks". November 21, 2013: We have completed our SIGGRAPH Asia 2013 course on structure-aware shape processing. Slides for my two talks can be found on the right under "Recent talks". A webpage for the course will be set up by Niloy soon. September 18, 2013: Congrat to Anna, who successfully defended her Master thesis today on "Active Learning For Semantic Labelling Of Airborne LIDAR Data". September 5, 2013: Welcome new grad students to SFU CS! Here you can get a copy of my short talk at the grad orientation . August 15, 2013: Our paper on projective shape analysis has been accepted to SIGGRAPH Asia 2013. The key idea is to perform challenging 3D shape analysis by utilizing knowledge gained from images/projection data. The dataset used for the project is available now. July 25, 2013: Source code and data for our layered analysis of facades via symmetry maximization is available. July 22, 2013: Works on point cloud processing from two of our papers, point cloud consolidation and edge-aware resampling (EAR) , will be included in CGAL . June 6, 2013: The technical program for SGP 2013 is available. This year's conference features four invited speakers , a two-day graduate school (July 1-2) , and a high-quality papers program. I hope to see many of you in the beautiful Genova, Italy! May 31, 2013: Maybe only for a brief period, our paper on field-guided shape part registration (SIGGRAPH Asia 2012) is featured on the revamped ACM SIGGRAPH homepage . May 21, 2013: Our L1-medial skeleton paper is included in the SIGGRAPH 2013 technical paper video preview . See the whole preview on Youtube . April 22, 2013: Four papers accepted to SIGGRAPH 2013 and available from the papers page : 1) Co-Hierachical Analysis of Shape Structures; 2) Layered Analysis of Irregular Facades via Symmetry Maximization; 3) Qualitative Organization of Collections of Shapes via Quartet Analysis; and 4) L1-Medial Skeleton of Point Cloud (see code & data ). April 18, 2013: I will serve on the SIGGRAPH Asia 2013 (Hong Kong) papers committee. April 9, 2013: Talk on "High-Level Geometry Processing: Now and New Challenges", given at Tsinghua University. Slides available upon requests. March 18, 2013: Source code for our mean-curvature skeleton algorithm is available. The method computes a curve skeleton (or an intermediate meso-skeleton) from a mesh and we believe it is the best-performing mesh skeletonization scheme (quality+speed) to date! March 8, 2013: Check out our new paper on bilateral maps . Unlike the traditional way of defining local shape descriptors, which are centered at single feature points, the key new idea is to define the shape descriptors over regions anchored by a pair of feature points. March 1, 2013: Congrats to Oliver who received a prestigeous Azrieli postdoc fellowship as well as a postdoc fellowship from Tel Aviv University (TAU) in 2013. He will visit Prof. Danial Cohen-Or at TAU. December 20, 2012: I will serve on the SIGGRAPH 2013 papers committee. December 14, 2012: THE kiss! The best moment of 2012 is that kiss. See picture on this page . November 29, 2012: I am co-chairing SGP 2013 with Yaron Lipman. SGP 2013 will be held on July 3-5, in Genova, Italy. November 26, 2012: A image from our active co-analysis paper (to appear at SIGGRAPH Asia 2012 in Singapore) was chosen as the front image of the ACM Transaction on Graphics (TOG) proceeding . November 1, 2012: We have received an NSERC Engage Grant in collaboration with iWonderLearning Inc., working to develop iOS applications that integrate 3D modeling with language learning. The general theme of the project is experiential and visual learning. October 25, 2012: We welcome two visiting students supported by the China Scholarship Council. Ruizhen Hu arrives from Zhejiang University and Yi Chen is from the National University of Defense Technology. Both of them start their visits in Fall 2012 and will stay at the GrUVi lab for a year. September 24, 2012: Final version of our curve style paper is available from the papers page . This work is a bit unconventional; it attempts to extract curve styles from a set of shape silhouettes without a conceptual definition of what the style is. The approach is data-driven and relies an operational definition for style-content separation. September 19, 2012: Final versions of our four SIGGRAPH Asia 2012 papers are now available from the papers page . Also see the right column of this page. Code and datasets for some of these papers are also made available, please let me know if you have any comments or suggestions. September 10, 2012: We have made available a dataset, the Shape COSEG Dataset , to help researchers evaluate their shape co-segmentation algorithms. August 28, 2012: Welcome three new graduate students: Rui Ma (Ph.D.) from Jilin University, Shuyang Sun (Ph.D.) from Zhejiang University, and Sushant Joshi (M.Sc.) from Banaras Hindu University. June 29 - July 8, 2012: I will have an intense 10-day trip to China, visiting MSRA, BUAA, USTC, SIAT, and NUDT, and giving 6 talks along the way! June 29, 2012: Andrea's paper on mean curvature skeletons has been accepted to SGP 2012 . The final version of the paper is available from the papers page . Congrats, Andrea! June 28, 2012: Nima successfully defended his masters thesis on 5-6-7 meshes today. Congrats, Nima! Now he is on his way to work at Facebook. May 9, 2012: Our SIGGRAPH 2012 paper on set evolution for 3D shape modeling is available on the publication page . A short clip of the paper's video has been selected as part of the SIGGRAPH 2012 Technical Paper Video Trailer! I gave a talk at the Center of Scientific Computing (CSC) seminar on Symmetry Analysis on Shapes and Structures. Since the talk covered unpublished material, the slides are only available through requests. March 14, 2012: Check out our cute paper on 5-6-7 meshes , which resulted from a course project by Nima . The paper will be presented at Graphics Interface 2012 in Toronto in June. February 28, 2012: I will serve on the technical papers committee for SIGGRAPH Asia 2012, to be held in Singpore, November 28 - December 1, 2012. February 26, 2012: Hui 's paper on empirical mode decomposition for meshes has been conditionally accepted to Geometric Modeling and Processing (GMP) 2012 , which will be held in Yellow Mountain in China in June. See publications page . February 22, 2012: Dr. Zhenbao Liu from NWPU of China is visiting the group for a month. He will conduct collaborative research in the area of shape analysis and retrieval. January 19, 2012: Our five-year NSERC CRD project in collaboration with Object Raku Technology is starting officially this January. Raku specializes in LIDAR data processing and analysis technologies. The project is on LIDAR data feature extraction and receives funding from NSERC and Raku in the amount of $300,000 over five years. January 15, 2012: Eric and Kevin, who visited the group for two years each, have both become Assistant Professors in the National University of Defense Technologies, China. Kevin also won a Best Thesis Award in his university on "Semantics-Driven 3D Shape Analysis and Modeling". December 19, 2011: PPT slides for two courses I gave at SIGGRAPH Asia 2011 in Hong Kong are available from the right column: one on "Towards High-Level Geometry Processing" as part of the course on "Elements of Geometry Processing" with Bruno Levy and one on "Towards the First SIGGRAPH Paper" as part of the course on "How to Write a SIGGRAPH Paper". December 16, 2011: Congrats to Ibraheem on having his first paper accepted (to the Visual Computer). See video and paper . November 30, 2011: Oliver van Kaick successfully defended his Ph.D. thesis on "Matching Dissimilar Shapes". Congrats, Dr. van Kaick! November 28, 2011: I will serve on the SIGGRAPH 2012 papers committee. September 20, 2011: Two of our papers "Unsupervised Co-Segmentation of a Set of Shapes via Descriptor-Space Spectral Clustering" and "Structure-Preserving Retargeting of Irregular 3D Architecture" have been accepted to SIGGRAPH Asia 2011. Online versions of the papers are now available. August 23, 2011: I co-organized a five-day Banff Workshop on "Geometry for Anatomy" , August 28 - September 2. See my talk on symmetry analysis for shape processing (18 MB). August 17, 2011: Check out some animation pieces submitted for the final project of CMPT 466 (Computer Animation) August 16, 2011: Oliver van Kaick receives an MITACS Elevate Postdoc Fellowship valued at $65,000 per year. He will take up the position with our industrial partner PDFTron in Vancouver. August 12, 2011: Check out some of the recent paper and invited talks in the right column, including the SIGGRAPH 2011 talk on photo-inspired modeling and the talk on Towards High-Level Geometry Processing I have given several times this year. June 27, 2011: Our VASE (volume-aware surface evolution) paper has been accepted to SGP 2011 . Congrats to Andrea ! June 22, 2011: Slides for SMI 2011 talk on point cloud silhouettes is available. In retrospect, the paper is really about how to find proper k-nearest neighbors (kNNs)! April 7, 2011: Helmut Pottmann gives a Distinguished Lecture on Geometric Computing for Freeform Architecture. April 6, 2011: Matt Olson successfully defended his Ph.D. thesis on "A Plane View of Geometric Silhouettes". Congrats, Matt! March 30, 2011: Congrats to Andrea who is awarded an Alexander Bell Canada Graduate Scholarship from NSERC; the award is given to the most selective group of scholarship applicants. February 11, 2011: Congrats to Ibraheem who successfully defended his MSc thesis on detail-replicating shape stretching; see demo video and code . December 4, 2010: Upcoming talk by Steven (Shlomo) Gortler on December 17. See talk announcement . November 10, 2010: Upcoming talk by Ligang Liu who will be visiting me between Nov. 21 and 24. See talk announcement . September 13, 2010: Final version of our three SIGGRAPH Asia papers are now available: 1. cone carving ; 2. tree skeleton reconstruction ; 3. style-content separation . August 20, 2010: Visit from Johannes Kopf (Microsoft Research) and Dani Lischiski (Hebrew University) and talk by Johannes on Street Slide and Automatic Generation of Destination Maps. July 26, 2010: Our SIGGRAPH 2010 course on spectral mesh processing has concluded. See this wiki from ALICEpedia for all the course-related information, including presentation slides. A previous version of the course was given at SIGGRAPH Asia 2009. May 12, 2010: Slides for my Eurographics 2010 State-of-the-Art Report (STAR) talk on shape correspondence is available here . April 30, 2010: Andrea Tagliassachi has received the MITACS Best Student Paper Award for 2009. Congrats, Andrea! January 12, 2010: One of our papers won the 2010 Most Cited Paper Award for the journal Computer-Aided Design. Papers for this distinction are determined solely based on the highest number of cites, excluding self-citations, received for all journal articles published in 2007-2009. November 16, 2009: Due to popular demand, we are making the MATLAB code for our earlier paper on robust spectral shape correspondence available. Please download this ZIP file . The code can be easily adapted to compute the eigenvalue shape descriptors (EVD) from this paper . Instructions are contained in the README file. Note that this code does not contain a Nystrom approximation component, hence only somewhat small meshes (up to 5K vertices) should be tried on. The code was written by Varun Jain and last updated by Oliver van Kaick. If you have any questions, please ask Oliver or myself. There is a pleasure in the pathless woods; There is a rapture on the lonely shore; There is society, where none intrudes, By the deep sea, and music in its roar; I love not man the less, but Nature more. - Lord Byron diff --git a/src/data/compiled_bios/3168.txt b/src/data/compiled_bios/3168.txt new file mode 100644 index 0000000000..1a22a6e5b5 --- /dev/null +++ b/src/data/compiled_bios/3168.txt @@ -0,0 +1 @@ + Anasse Bari, Ph.D New York University Office Hours Tues & Thurs: 11:30-12:30 Office Location WWH425 Bio Research Publications Teaching Gallery Contact Me Download CV Copyright @AB Bio Professor Anasse Bari is a full time faculty member of computer science at the Courant Institute of Mathematical Sciences of New York University. He holds a Ph.D. in Computer Science with a focus on Data Mining. Bari is a Fulbright scholar and previously was a university professor at the Computer Science Department of the George Washington University (GWU) in Washington D.C where his students voted him the professor of the year in 2014 . Dr.Bari has over ten years of experience in large-scale software architecture and design for both the public and private sectors. Anasseworked closely for many years with leadership across the World Bank Group in engineering enterprise data analytics projects. He was the recipient of the World Bank Group ITS Spot award for extraordinary efforts in service of theorganization. While at the World Bank, he attended an executive program at Stanford University' Institute of Design. His scientifc research has been focused on predictive analytics , biologically inspired data analytics, and information retrieval.He is the author of several publications on data mining and the co-author of the book Predictive Analytics for Dummies, published by WILEY in 2016. Academic Experience Present 2015 Clinical Assistant Professor New York Universty , Courant Institute of Mathematical Sciences 2015 2013 Visiting Professor George Washington University , School of Engineering and Applied Sciences 2012 2008 Fulbright Scholar George Washington University , Computer Science Department 2016 2010 Data Scientist World Bank Group 2010 2009 Consultant Exprentis 2009 2009 Software Developer United States Congress, House Committee on Appropriations 2008 2006 Software Engineer The Maersk Group Education & Training Ph.D. 2012 Ph.D. in Computer Science with a focus on Data Mining George Washington University, M.S. 2012 Master of Science in Computer Science with a focus on Software Engineering George Washington University Executive Education 2013 Design Thinking Stanford University, School of Design diff --git a/src/data/compiled_bios/3169.txt b/src/data/compiled_bios/3169.txt new file mode 100644 index 0000000000..1e13665c40 --- /dev/null +++ b/src/data/compiled_bios/3169.txt @@ -0,0 +1 @@ + Marsha Berger Computer Science Department Courant Institute of Mathematical Sciences New York University Location Warren Weaver Hall, Room 1121 Phones (212) 998-3305 (voice) (212) 995-4121 (fax) Email berger at cims.nyu.edu equivalently berger at cs.nyu.edu Mail Address Courant Institute New York University 251 Mercer Street New York, NY 10012 Research Interests My major areas of research are in computational fluid dynamics, adaptive methods for the numerical solution of pdes in complex geometries, and large-scale parallel computing. Click for more information on the following projects: Cart3D: Cartesian grid methods for complex geometry with collaborators Michael Aftosmis and Marian Nemec Clawpack with Clawpack open source development team. Geophysical Flows with Bathymetry with collaborators Randy Leveque, Donna Calhoun, David George, Kyle Mandli Selected Teaching Links Intro. to Computer Science (CSCI-UA-0101-007, spring 2018) High Performance Scientific Computing (G22.2945/G63.2011, fall 2012) High Performance Scientific Computing (G22.2945/G63.2011, fall 2010) High Performance Scientific Computing (G22.2945/G63.2011, fall 2008) Scientific Computing (G22.2112/G63.2043, fall 2006) Numerical Computing (V22.0421, spring 2006) For all other courses see Computer Science Dept. Course Archives . Selected Publications (for Cart3D and AIAA publications see Cart3D website publications ) Air-burst Generated Tsunamis with J. Goodman. Pure Appl.Geophys. 175(4), (2018) An ODE-based Wall Model for Turbulent Flow Simulations with M. Aftosmis. AIAA paper 2017-0528, Grapevine, TX., Jan. 2017. Two-Dimensional Slope Limiters for Finite Volume Schemes on Non-Coordinate-Aligned Meshes with S. May. SISC 35(5), 2013. Progress Towards a Cartesian Cut-Cell Method for Viscous Compressible Flow with M. Aftosmis, and Appendix by S.R. Allmaras. AIAA paper 2012-1301, Nashville, TN., Jan. 2012. A Simplified H-Box Method for Embedded Boundary Grids with C. Helzel. SISC 34(2), 2012. preprint: arXiv:1008.0455v1 [physics.geo-ph] The GeoClaw Software for Depth-Averaged Flows with Adaptive Refinement with D.L. George,R.J.LeVeque, and K.T. Mandli. Advances in Water Resources 34, 2011. Analysis of Slope Limiters on Irregular Grids with M. Aftosis and S. Murman. AIAA paper 2005-0490, Reno, NV., Jan. 2005. A High-Resolution Rotated Grid Method for Conservation Laws with Embedded Geometries with C. Helzel and R. LeVeque. SISC 26(3), 2005. H-box Methods for the Approximation of Hyperbolic Conservation Laws on Irregular Grids with C. Helzel and R. LeVeque. SINUM 41(3), 2003. Flow Simulations on Cartesian Grid involving Complex Moving Geometries with Hans Forrer. Proc. 7th Intl. Conf. on Hyperbolic Problems, Zurich, Switz., Feb., 1998. Accuracy, Adaptive Methods and Complex Geometry Proc. 1st AFOSR Conference on Dynamic Motion CFD, Rutgers University, L. Sakell and D. Knight, editors, June, 1996. An Accuracy Test of a Cartesian Grid Method for Steady Flow in Complex Geometries RIACS Technial Report 95-02. Also, Proc. 5th Intl. Conf. on Hyperbolic Problems, Stonybrook, June, 1994. Software For CLAWPACK (an adaptive wave propagation software package) or for GeoClaw (its specialization to geophysical flows with bathymetry) see: Clawpack GeoClaw software For Cart3D software, contact Aerion/Desktop Aero or see licensing instructions at: Cart3D software Mesh refinement software for 2-D and 3-D adaptive mesh refinement for hyperbolic conservation laws (no longer maintained): AMR software Other Activities Badminton Club, formerly faculty advisor Women's Faculty Caucus Return to CIMS Home Page / CS Home Page diff --git a/src/data/compiled_bios/317.txt b/src/data/compiled_bios/317.txt new file mode 100644 index 0000000000..a751f21b3c --- /dev/null +++ b/src/data/compiled_bios/317.txt @@ -0,0 +1 @@ + James M. Westall (Mike) Professor of Computer Science Contact Information Email: westall@cs.clemson.edu Phone: (864) 656-5868 Office: 307 McAdams Hall Graduate Study in Computing Application and Program Information Please contact cs@cs.clemson.edu for additional information. Research Interests The project ATM networking in Linux Network traffic models Re-coloring images for color deficient viewers Real-time 3-D graphics in Linux Segmentation and recognition of hand and machine print characters Courses Taught CpSc 101 - Computer Science I CpSc 102 - Computer Science II CpSc 215 - Tools and Techniques for Software Development CpSc 360 - Computer Networks and Distributed Systems CpSc 212 - Computer Science IV (Data Structures) CpSc 405 - Introduction to Graphical Systems Design CpSc 322 - Introduction to Operating Systems CpSc 481/681 - Digital Image Graphics CpSc 822 - Operating System Case Study (Linux) CpSc 824 - Advanced Operating Systems CpSc 851 - Software Systems for Data Communications CpSc 852 - Internetworking CpSc 853 - Protocol Implementation Fall 2004 Schedule Office hours 10:00 - 12:00 Tu-Th Other hours available by appointment CPSC 215 - Section 1 - Daniel 415 12:30 - 1:20 Tu-Th CPSC 215 - Section 2 - McAdams 117C 2:00 - 2:50 Tu-Th CPSC 825 - Daniel 408 3:30 - 4:45 Tu-Th Vita [ Computer Science | Faculty | Staff | Students | Disclaimer ] diff --git a/src/data/compiled_bios/3170.txt b/src/data/compiled_bios/3170.txt new file mode 100644 index 0000000000..421fe90e1f --- /dev/null +++ b/src/data/compiled_bios/3170.txt @@ -0,0 +1 @@ + Notes/Amos Bloomberg From Knowledge Kitchen Jump to navigation Jump to search There is currently no text in this page. You can search for this page title in other pages, or search the related logs , but you do not have permission to create this page. Retrieved from " https://knowledge.kitchen/Notes/Amos_Bloomberg " Navigation menu Personal tools Log in Namespaces Page Discussion Variants Views More Search Navigation I'm feeling lucky! Agile Software Dev Syllabus Schedule All Pages Database Design Syllabus Schedule All Pages Web Design Syllabus Schedule All Pages Computer Science Syllabus Schedule All Pages Physical Computing Syllabus Schedule All Pages Computer Programming Syllabus Schedule All Pages Web Development Syllabus Schedule All Pages Languages HTML CSS PHP Javascript Python Java Processing All languages Databases MySQL MongoDB Blockchain APIs All databases Media Audio Video Photoshop Electronics Fabrication Arduino Animation Virtual Reality 3d Flash All media Tools What links here Special pages Printable version Page information Privacy policy About Knowledge Kitchen Disclaimers Mobile view diff --git a/src/data/compiled_bios/3171.txt b/src/data/compiled_bios/3171.txt new file mode 100644 index 0000000000..c0cf38fce3 --- /dev/null +++ b/src/data/compiled_bios/3171.txt @@ -0,0 +1 @@ + Joseph Bonneau email jbonneau@gmail.com ( PGP key ) mobile +1 650 804 6934 office +1 415 436 9333 x132 home papers talks cv about I teach and do research on all things security, especially applied cryptography, security economics and human factors. I'm interested in making systems more trustworthy and transparent, particularly encrypted communication tools, cryptocurrencies, and HTTPS and PKI on the web. My past research has spanned passwords and authentication, side-channel cryptanalysis, protocol verification, software obfuscation, and privacy in social networks. I'm co-author of a textbook on cryptocurrencies which you can read for free online. I'm always looking for great students to work with. If you're a prospective PhD student or post-doc, or a current NYU undergrad or master's student, please get in touch to see if we can find a project to work together on. Do include something you learned from my "about" page so I know haven't spammed every faculty web page you can find. Affiliations 2017- Assistant Professor NYU Courant Institute 2014- Tech Fellow EFF 2015-2016 Postdoc Stanford Applied Crypto Group ( Dan Boneh ) 2014-2015 Postdoc Princeton CITP ( Arvind Narayanan ) 2012-2014 Engineer Google Security Team 2008-2012 PhD Cambridge Security Group ( Ross Anderson ) 2007-2008 Cryptographer Cryptography Research 2002-2006 BS, MS Stanford Computer Science Selected publications Verifiable Delay Functions D. Boneh , J. Bonneau , B. Bnz and B. Fisch . CRYPTO 2018 . Obstacles to the Adoption of Secure Communication Tools R. Abu-Salma, M. Angela Sasse, J. Bonneau , A. Danilova, A. Naiakshina and M. Smith . IEEE Security & Privacy (Oakland) 2017 . Can Unicorns Help Users Compare Crypto Key Fingerprints? J. Tan, L. Bauer , J. Bonneau , L. Faith Cranor , J. Thomas and B. Ur . CHI 2017 . Differentially Private Password Frequency Lists J. Blocki , A. Datta and J. Bonneau . NDSS 2016 . Provisions: Privacy-preserving proofs of solvency for Bitcoin exchanges G. G. Dagher, B. Bnz , J. Bonneau , J. Clark and D. Boneh . ACM CCS 2015 . CONIKS: Bringing Key Transparency to End Users M. S. Melara , A. Blankstein , J. Bonneau , M. J. Freedman and E. W. Felten . USENIX Security 2015 . Passwords and the Evolution of Imperfect Authentication J. Bonneau , C. Herley , P. C. van Oorschot and F. Stajano . Communications of the ACM . SoK: Secure Messaging N. Unger, S. Dechand , J. Bonneau , S. Fahl , H. Perl , I. Goldberg and M. Smith . IEEE Security & Privacy (Oakland) 2015 . Secrets, Lies, and Account Recovery: Lessons from the Use of Personal Knowledge Questions at Google J. Bonneau , E. Bursztein , I. Caron, R. Jackson and M. Williamson. 25th International World Wide Web Conference (WWW) . Research Perspectives and Challenges for Bitcoin and Cryptocurrencies J. Bonneau , A. Miller , J. Clark , A. Narayanan , J. A. Kroll and E. W. Felten . IEEE Security & Privacy (Oakland) 2015 . Cracking-Resistant Password Vaults using Natural Language Encoders R. Chatterjee , J. Bonneau , A. Juels and T. Ristenpart . IEEE Security & Privacy (Oakland) 2015 . Upgrading HTTPS in Mid-Air: An Empirical Study of Strict Transport Security and Key Pinning M. Kranch and J. Bonneau . NDSS 2015 . Towards reliable storage of 56-bit secrets in human memory J. Bonneau and S. Schechter . USENIX Security 2014 . The Tangled Web of Password Reuse A. Das , J. Bonneau , M. Caesar , N. Borisov and X. Wang . NDSS 2014 . The science of guessing: analyzing an anonymized corpus of 70 million passwords J. Bonneau . IEEE Security & Privacy (Oakland) 2012 . The Quest to Replace Passwords: A Framework for Comparative Evaluation of Web Authentication Schemes J. Bonneau , C. Herley , P. C. van Oorschot and F. Stajano . IEEE Security & Privacy (Oakland) 2012 . Bitcoin and Cryptocurrency Technologies A. Narayanan , J. Bonneau , E. Felten, A. Miller and S. Goldfeder . diff --git a/src/data/compiled_bios/3172.txt b/src/data/compiled_bios/3172.txt new file mode 100644 index 0000000000..25bc592feb --- /dev/null +++ b/src/data/compiled_bios/3172.txt @@ -0,0 +1 @@ + Structure Prediction Protein Design Biclustering + cMonkey Network Inference Social Networks Publications Links + Collaborations People Opportunities Software + Code Teaching Welcome to the Bonneau Lab. Bonneau Lab on Twitter Tweets by @RichBonneauNYU Opportunities Open positions in Systems Biology and Software Engineering! The Bonneau Lab is advertising a number of open positions in systems biology research and software engineering (as well as social media software engineering). Postdoc positions, research positions, and SE/computer science positions are available, both here in NYC and abroad at NYU Abu Dhabi. See the opportunities page for more information... Overview... My lab is focused on a number of computational biology problems that, if solved, would remove key bottlenecks in biology and systems biology. We focus on two main categories of computational biology: learning networks from functional genomics data and predicting and modeling protein structure. In both areas I have played key roles in solving unsolved problems and achieving critical field-wide milestones. In the area of structure prediction we were early contributors to the Rosetta code; a platform for structure prediction, design and docking. In the area of network inference we worked on two computational methods that were used to demonstrate the first predictive genome-wide model of regulatory dynamics (i.e. the first case where a genome-wide model could predict the whole transcriptional state of cells at future time points not part of the training set). Both network inference and protein structure prediction remain grand challenges and in spite of our progress much exciting work remains to be done in the coming years as we continue to improve, scale and apply these methods. The lab focuses on developing and implementing methods for modeling global regulatory circuits that are general and can be applied to many systems. I've also played a critical role in the development and deployment of "Rosetta", a state of the art protein folding program, and future work will include distilling functional information from genome-wide de novo predictions. In a broader sense, we aim to train students to derive and implement novel computational approaches to biological problems (people in my lab are encouraged to build it themselves rather that download a not-quite-right tool from elsewhere). We can't perfectly anticipate tomorrow's computational challenges, but we can train students to be flexible and creative. ...Explore links above for more detailed information about the different research directions of the lab, the history of the efforts we're involved in, friends, etc... Learning Biological Networks from Heterogeneous Data Ever-improving genomics experiments have begun to make possible the reconstruction of large numbers of regulatory relationships from the analysis of large accumulated genomics data collections (protein-DNA interactions, genome wide mRNA, whole-genome sequencing, etc.). The work of collaborative teams of systems biologists and computational biologists has in several cases formed functional genomics projects that integrate computational analysis, experimental designs and data visualization to form highly productive multi-group consortia. This review focuses on just one aspect of these coordinated systems biology efforts: the learning of genome-wide regulatory networks in a manner that enables prediction of unobserved cell states and modeling of dynamical regulatory responses to changes in cell state. As new technologies enable the more accurate, and cheeper, measurement of global metabolite, protein, non-coding RNAs and post-translational modifications many of the mathematical tools developed to learn and model transcriptional networks will prove powerful enough and general enough to incorporate these important additional informational levels. Protein Structure and Design Using Rosetta I was one of the initial authors on the Rosetta protein structure prediction code, the first method to demonstrate comprehensive ability to predict protein fold in the absence of sequence homology to a known structure. New developments and applications of Rosetta are ongoing in my lab, and via collaborations with other labs in the Rosetta-development community, IBM and biologists throughout the world. The Human Proteome Folding Project on the World Community Grid is one of the largest bio-relevant computations undertaken to date; it will provide fold and function predictions for tens of thousands of proteins of unknown function, and be accessed by biologists in all sub-fields. I have an ongoing collaboration with IBMs World Community Grid and was the pilot project on this emerging global computing resource. I was a founding member of the Rosetta commons, which is a non-profit entity that allows the continued development of Rosetta by over 10 institutions (including NYU) that simultaneously work on protein design, docking, prediction and using Rosetta to resolve experimental constraints ( rosettacommons ). This is the ultimate in dissemination; we use money from licensing the code to industry to provide support to new academic developers, companies using the code, users, etc. Developments in all of these application domains are mutually synergistic, as bug fixes and improvements to core methods are quickly disseminated to the entire development community. All Rosetta commons members work off the same coordinated source code repository (managed by University of Washington). Yearly meetings are organized to coordinate research and code management issues. Additionally software will be available in frequent releases (source code freely available to academics). These mechanisms for collaboration, resource access, end-user inclusion, and technology export are in place, tested and exceptionally productive. Contact bonneau [AT] nyu [DOT] edu ( NYU faculty page ) See the People page for more contact information. Funding Currently, we are generously funded by the following: The National Institutes of Health. The National Science Foundation , 2010: The Arabidopsis folding project, NSF DBI-0820757. The US Department of Defense : Establishing A Fundamental Research Program in Prokaryotic Genomics at NYU, DOD, USAMRAA W81XWH-04-1-0307. 2011 Richard Bonneau diff --git a/src/data/compiled_bios/3173.txt b/src/data/compiled_bios/3173.txt new file mode 100644 index 0000000000..19cea2ba0b --- /dev/null +++ b/src/data/compiled_bios/3173.txt @@ -0,0 +1 @@ + Joan Bruna Courant Institute of Mathematical Sciences and Center for Data Science, NYU Department of Computer Science, Department of Mathematics (affiliated) e-mail: bruna [AT] cims.nyu.edu Menu Skip to content About Current Group Prospective Students Publications Code Teaching Talks and Videos CV About me I am an Assistant Professor at Courant Institute, NYU, in the Department of Computer Science, Department of Mathematics (affiliated) and the Center for Data Science, since Fall 2016. Together with my Machine Learning friends and colleagues I belong to the CILVR (Computational Intelligence, Learning, Vision and Robotics) group , and with my Mathematics and Statistics friends we recently created the Mad (Math and Data) group . My research interests touch several areas of Machine Learning, Signal Processing and High-Dimensional Statistics. In particular, in the past few years I have been working on Deep Convolutional Networks, studying some of its theoretical properties and applications to several Computer Vision tasks. I am currently interested in generalisations of CNNs to more general geometries and its applications to Physics, Chemistry and Computational Complexity. From 2015 to 2016, I was Assistant Professor of Statistics at UC Berkeley and part of BAIR (Berkeley AI Research). Before that, I worked at FAIR (Facebook AI Research) in New York. Prior to that, I was a postdoctoral researcher at Courant Institute, NYU, under the supervision of Prof. Yann Lecun. I completed my PhD in 2013 at Ecole Polytechnique, France, under the supervision of Prof. Stephane Mallat. Before my PhD I was a Research Engineer at a semi-conductor company, developing real-time video processing algorithms. Even before that, I did a MsC at Ecole Normale Superieure de Cachan in Applied Mathematics (MVA) and my undergrad at UPC (Universitat Politecnica de Catalunya, Barcelona) in both Mathematics and Telecommunication Engineering. My CV is available here . Last updated Monday, 19-Mar-2018 20:17:56 EDT diff --git a/src/data/compiled_bios/3174.txt b/src/data/compiled_bios/3174.txt new file mode 100644 index 0000000000..66bf77d371 --- /dev/null +++ b/src/data/compiled_bios/3174.txt @@ -0,0 +1 @@ + Kyunghyun Cho Search this site Frontpage Kyunghyun Cho , Assistant Professor CILVR Group , Computer Science ( Courant Institute ) and Center for Data Science New York University Research Scientist Facebook AI Research CIFAR Azrieli Global Scholar Latest News Best Paper Award at ISMIR 2017 Keunwoo Choi, George Fazekas, Mark Sandler and I have received the Best Paper Award at the 18th Annual International Society for Music Information Retrieval Conference (ISMIR). The paper is This past Spring (2017), I taught the undergrad course. This was not only the first time for me to teach but also ... Posted Jul 16, 2017, 12:07 PM by KyungHyun Cho to arXiv or not to arXiv I believe it is a universal phenomenon: when you're swamped with work, you suddenly feel the irresistible urge to do something else. This is one of those something else ... Posted Feb 12, 2016, 4:36 PM by KyungHyun Cho Showing posts 1 - 2 of 4 . View more Navigation Frontpage Bio & CV Recent News Blog Publications Google Scholar Courses Code Research Activities Research Group Prospective Students Acknowledgement Disclosure Contact Sitemap Sign in | Recent Site Activity | Report Abuse | Print Page | Powered By Google Sites diff --git a/src/data/compiled_bios/3175.txt b/src/data/compiled_bios/3175.txt new file mode 100644 index 0000000000..bd709738aa --- /dev/null +++ b/src/data/compiled_bios/3175.txt @@ -0,0 +1 @@ + Joshua Clayton Clinical Assistant Professor Department of Computer Science New York University Office 420, Warren Weaver Hall 251 Mercer Street New York, NY 10012 Email: jclayton@cs.nyu.edu Tel: +1 212 998 3490 20182019 Office Hours Tuesday, 12:301:30 p.m. Thursday, 3:304:30 p.m. Spring 2019 CSCI-GA 1122-1: Web Development CSCI-UA 380-1: Drawing on the Web Fall 2018 CSCI-UA 2-6: Introduction to Computer Programming CSCI-UA 2-8: Introduction to Computer Programming CSCI-UA 4-6: Introduction to Web Design and Computer Principles Course Archive A list of all courses taught, in reverse chronological order, is available on this page . About Joshua Clayton is a New York-based artist and academic. His research-oriented creative practice encompasses material artifacts and ephemeral situations, digital and analog media. Originally from Detroit, Michigan, Clayton studied art and design before moving to Tokyo in 2002 and New York in 2005. He completed a masters degree in interactive telecommunications and currently teaches at New York University. Professor Claytons courses introduce students to the language of computation and the expressive potential of code, with a focus on the open web. Education MPS, Interactive Telecommunications New York University BFA, Graphic Design Western Michigan University diff --git a/src/data/compiled_bios/3176.txt b/src/data/compiled_bios/3176.txt new file mode 100644 index 0000000000..fb2345df93 --- /dev/null +++ b/src/data/compiled_bios/3176.txt @@ -0,0 +1 @@ + Richard Cole Silver Professor of Computer Science Computer Science Department Courant Institute of Mathematical Sciences New York University Quick links contact info , research interests , bio , teaching , students , publications Contact Information [ Show/Hide ] Top of Page 251 Mercer Street New York, NY 10012-1185 U.S.A cole at cs dot nyu dot edu (212) 998-3119 Research Interests Top of Page My main interest is the design and analysis of algorithms. I am currently concentrating on the following area: algorithmic economic market theory and game theory. I have previously worked on string and pattern matching, amortization, parallelism, network and routing problems. I have also been interested in the use of visualization for algorithm explanation and teaching. Bio [ Show/Hide ] Top of Page I have lived most of my life in or near London, Paris, and New York. My education began in France, and was continued in England for the latter part of primary (elementary) school and for secondary school (at Ealing Grammar School for Boys, now closed). For my undergraduate studies, I went to University College, Oxford, receiving my BA in Mathematics in 1978. I then came to America to study for a Ph.D. in Computer Science at Cornell University; this was supervised by John Hopcroft and completed in 1982. After this I came to NYU as an assistant professor. I was promoted to full professor in 1990. I served as department chair from 1994-2000, and subsequently, I served as deputy director of the Courant Institute from 2003-2013 (with one semester as acting director). I was named a Guggenheim Fellow for the 1988-89 academic year, an ACM Fellow in 1998, and a Silver Professor of Computer Science in 2011. I am an author or co-author of 100 plus papers; the more recent half, accessible on the web, are listed below. Teaching Top of Page Current : Theory of Computation , ug, spring 16. Recent: Basic Algorithms , ug (spring 14); Theory of Computation, ug ( fall 14 , fall 12 , fall 11 ); Algorithmic & Economic Aspects of the Internet (co-taught with Vahab Mirrokni), grad ( spring 14 , spring 12 ). Less Recent: [ Show/Hide ] Theory of Computation, ug ( fall 09 , fall 08 , fall 07 , fall 06 , fall 01 ), Honors Analysis of Algorithms, grad ( fall 04 , fall 01 ), Fundamental Algorithms ( fall 99 , fall97 ), Basic Algorithms ( fall 98 ), Randomized Algorithms ( spring 97 ). Students Top of Page Ph.D. Yun Kuen Cheung (Ph.D. 2014) Vasilis Gkatzelis (Ph.D. 2013) Ashish Rastogi (Ph.D. 2008, coadvised with Mehryar Mohri) Lee-Ad Gottlieb (Ph.D. 2008) Less Recent: [ Show/Hide ] Ramesh Hariharan (Ph.D. 1994) Rajamani Sundar (Ph.D. 1991, coadvised with Ravi Boppana) John Turek (Ph.D. 1991, coadvised with Dennis Shasha) Ofer Zajicek (Ph.D. 1990) High School: [ Show/Hide ] Aayush Sharma, current, West Windsor Plainsboro High School North Gautam Ramasubramanian, 2011-12, Bronx High School of Science Milo Beckman, Styuvesant High School, 2010, Intel Science Competition Semi-Finalist Interested in or curious about working with me? [ Read this. ] Prospective Ph.D. students: I am interested in hearing about your interests. On occasion, I can host visiting Ph.D. students. Undergraduates: I have both implementation and more theoretical projects; you need to have taken Basic Algorithms. Note that I am rarely able to take on summer students from outside NYU. High school students: please send me email explaining your interests and skills; some programming experience is a huge plus. So that I can avoid broadcast emails please end you subject line the first time you write to me with the number 42. Publications Top of Page This includes papers from about the last 20 years. Older papers will have to be sought in online libraries. (There are a few repetitions due to topic overlaps.) Algorithmic economics & game theory Resource oblivious algorithms String and patttern matching Parallel algorithms, parallel computation, and routing Data structures Graph algorithms Sorting Miscellaneous Copyright Notice The documents being distributed here are being provided as a means to ensure timely dissemination of scholarly and technical work on a noncommercial basis. The present version of the paper may differ from the definitive published version. Papers appearing in journals and conference proceedings are protected by the associated copyrights, and files posted here are for personal scholarly use only. Copyright and all rights therein are maintained by the authors or by other copyright holders, notwithstanding that the works are offered here electronically. It is understood that all persons copying this information will adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted or distributed without the explicit permission of the copyright holder (ACM, Springer-Verlag, Elsevier, etc.). Permission to make digital or hard copies of part or all of these works for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage. Algorithmic economics & game theory Publications Top of Page Richard Cole , Shravas Rao. Applications of -Strongly Regular Distributions to Bayesian Auctions. WINE 2015: 244-257. Richard Cole , Yixin Tao. The Price of Anarchy of Large Walrasian Auctions. a rXiv 1508.07370 (2015). Richard Cole, Vasilis Gkatzelis. Approximating the Nash Social Welfare with Indivisible Items. STOC 2015: 371-380. Richard Cole, Jose R. Correa, Vasilis Gkatzelis, Vahab S. Mirrokni, Neil Olver. Decentralized utilitarian mechanisms for scheduling games. Games and Economic Behavior 92: 306-326 ( 2015 ). pdf . Journal version of: Inner product spaces for MinSum coordination mechanisms. STOC 2011: 539-548. pdf Yun Kuen Cheung, Richard Cole. Amortized Analysis on Asynchronous Gradient Descent. arXiv:1412.0159 , Nov. 2014. Richard Cole , Tim Roughgarden. The sample complexity of revenue maximization. STOC 2014: 243-252. pdf . Full paper (with improved results) arxiv:1502.00963 , Feb 2015. Yun Kuen Cheung, Richard Cole, Nikhil Devanur. Tatonnement Beyond Gross Substitutes? Gradient Descent to the Rescue. ST OC 2013: 191-200. Full paper . Richard Cole, Vasilis Gkatzelis, Gagan Goel. Mechanism Design for Fair Division: Allocating Divisible Items without Payments. EC 2013: 251-268. pdf Richard Cole , V asilis Gkatzelis, Gagan Goel. Positive results for mechanism design without money. AAMAS 2013: 1165-1166. Yun Kuen Cheung, Richard Cole, Ashish Rastogi. Tatonnement in ongoing markets of complementary goods. ACM Conference on Electronic Commerce 2012: 337-354. pdf Richard Cole, Jose R. Correa, Vasilis Gkatzelis, Vahab S. Mirrokni, Neil Olver. Decentralized utilitarian mechanisms for scheduling games. Games and Economic Behavior 92: 306-326 ( 2015 ). pdf . Journal version of: Inner product spaces for MinSum coordination mechanisms. STOC 2011: 539-548. pdf Richard Cole, Lisa Fleischer, Ashish Rastogi. Discrete Price Updates Yield Fast Convergence in Ongoing Markets with Finite Warehouses. arXiv:1012.2124 (2010). pdf Richard Cole , Shahar Dobzinski, Lisa Fleischer. Prompt Mechanisms for Online Auctions. SAGT 2008: 170-181. pdf Richard Cole , Lisa Fleischer. Fast-converging tatonnement algorithms for one-time and ongoing market problems. STOC 2008: 315-324. pdf Richard Cole, Ashish Rastogi. Indivisible Markets with Good Approximate Equilibrium Prices. ECCC Technical report TR-07-017 , 2007. pdf Richard Cole, Yevgeniy Dodis, Tim Roughgarden. Bottleneck links, variable demand, and the tragedy of the commons. Networks 60(3):194-203 (2012). pdf Journal version of: How much can taxes help selfish routing? ACM Conference on Electronic Commerce , 2003, 98-107. postscript Richard Cole, Yevgeniy Dodis, Tim Roughgarden. Pricing network edges for heterogeneous selfish users. STOC 2003: 521-530. pdf Resourc e oblivious algorithms Publications Top of Page Richard Cole , Vijaya Ramachandran. Analysis of Randomized Work Stealing with False Sharing. IPDPS 2013: 985-998. pdf Richard Cole, Vijaya Ramachandran. Efficient Resource Oblivious Algorithms for Multicores with False Sharing. IPDPS 2012: 201-214. pdf Richard Cole, Vijaya Ramachandran. Revisiting the Cache Miss Analysis of Multithreaded Algorithms. LATIN 2012: 172-183. pdf Richard Cole, Vijaya Ramachandran. Resource Oblivious Sorting on Multicores. arXiv 1508.01504 (2015). Earlier version , ICALP 2010: 226-237. pdf Michael A. Bender, Richard Cole, Erik D. Demaine, Martin Farach-Colton. Scanning and Traversing: Maintaining Data for Traversals in a Memory Hierarchy. ESA 2002, 139-151. postscript Michael A. Bender, Richard Cole, Erik D. Demaine, Martin Farach-Colton. Two Simplified Algorithms for Maintaining Order in a List. ESA 2002: 52-164. postscript Michael A. Bender, Richard Cole, Rajeev Raman. Exponential Structures for Efficient Cache-Oblivious Algorithms. ICALP 2002: 195-207. String and pattern matching Publications Top of Page Richard Cole, Tsvi Kopelowitz, Moshe Lewenstein. Suffix Trays and Suffix Trists: Structures for Faster Text Indexing. Algorithmica 72(2): 450-466 ( 2015 ) pdf. Earlier version, ICALP 2006, 358-369. pdf . Richard Cole ,Carmit Hazay, Moshe Lewenstein, Dekel Tsur. Two-Dimensional Parameterized Matching. ACM Transactions on Algorithms 11(2): 12:1-12:30 ( 2014 ). Richard Cole, Lee-Ad Gottlieb, Moshe Lewenstein. Dictionary matching and indexing with errors and don't cares. Proceedings of the Thirty Sixth Annual Symposium on the Theory of Computing , 2004, 91-100. postscript Richard Cole, Zvi Galil, Ramesh Hariharan, S. Muthukrishnan, Kunsoo Park. Parallel Two Dimensional Witness Computation . Information and Computation . 2004, Vol. 188, 20-67 . Preliminary version appeared as part of: R. Cole, M. Crochemore, Z. Galil, L. Gasieniec, R. Hariharan, S. Muthukrishnan, K. Park, W. Rytter. Optimally fast parallel algorithms for preprocessing and pattern matching in one and two dimensions. FOCS 1993: 248-258. abstract postscript Amihood Amir, Yonatan Aumann, Richard Cole, Moshe Lewenstein, Ely Porat. Function Matching: Algorithms, Applications, and a Lower Bound. ICALP 2003: 929-942. postscript Richard Cole, Ramesh Hariharan. Tree Pattern Matching to Subset Matching in Linear Time. SIAM J. Comput. 32 (4): 1056-1066 (2003). Richard Cole, Ramesh. Hariharan. Faster Suffix Tree Construction with Missing Suffix Links. SIAM J. Comput. 33 (1): 26-42 (2003). Preliminary version appeared in STOC 2000: 407-415. abstract postscript Richard Cole, Ramesh Hariharan. Verifying candidate matches in sparse and wildcard matching. STOC 2002: 592-601. postscript (includes proofs not in the proceedings.) Richard Cole, Ramesh. Hariharan. Approximate String Matching: A Simpler Faster Algorithm. SIAM J. Comput. 31(6): 1761-1782 (2002). A. Amir, R. Cole, R. Hariharan, M. Lewenstein, E. Porat. Overlap matching. Inf. Comput. 181(1): 57-74 (2003). Preliminary version appeared in SODA 2001: 279-288. abstract postscript This subsumes the following technical report: R. Cole, R. Hariharan, Randomized swap matching in O(n log m log Sigma) time, Computer Science Department Technical Report No. 789, NYU, 1999. abstract postscript R. Cole, M. Farach, R. Hariharan, T. Przytycka and M. Thorup. An O(n log n) Algorithm for the Maximum Agreement Subtree Problem for Binary Trees. SIAM J. on Computing , 2000, Vol. 30, 1385-1404. Preliminary version appeared in SODA 1996: 323-332. abstract postscript R. Cole, R. Hariharan, P. Indyk. Tree pattern matching and subset matching in deterministic O(n log^3 m) time. SODA 1999: 245-254. abstract postscript R. Cole and R. Hariharan. Faster approximate string matching. SODA 1998: 463-472. abstract postscript R. Cole and R. Hariharan. Tree pattern matching and subset matching in randomized O(n log^3 m) time. STOC 1997: 66-75. abstract postcript R. Cole, R. Hariharan, M. Paterson, U. Zwick. Which patterns are hard to find. Israeli Symposium on Theoretical Computer Science , 1993. SIAM Journal on Computing , 24(1995), 30-45. abstract postscript R. Cole. Tight bounds on the complexity of the Boyer--Moore string matching algorithm. SODA 1991: 224-233. SIAM Journal on Computing , 5(1994), 1075-1091. abstract R. Cole and R. Hariharan. Tighter upper bounds on the exact complexity of string matching. SIAM Journal on Computing, 26(1997), 1581-1611. See also FOCS , 1992, 600-609. abstract postscript Parallel algorithms, parallel computation, and routing Publications Top of Page See resource oblivious algorithms also. R. Cole, B. Maggs, and R. Sitaraman. On the benefit of supporting virtual channels in wormhole routers. J. Computer and Systems Sciences , 2001, 62: 152-177. Preliminary version in SPAA 1996: 131-141. abstract postscript R. Cole, B. M. Maggs, F. Meyer auf der Heide, M. Mitzenmacher, A. W. Richa, K. Schroeder, R. K. Sitaraman, B. Voecking. Randomized protocols for low-congestion circuit routing in multistage interconnection networks. STOC 1998: 378-388. abstract postscript R. Cole, B. Maggs and R. Sitaraman. Multi-Scale Emulation: A technique for reconfiguring arrays with faults. STOC 1993: 561-570. SIAM Journal on Computing , 26(1997), 1581-1611. abstract postscript R. Cole, P. Klein and R. Tarjan. Finding minimum spanning forests in logarithmic time and linear work using random sampling. SPAA 1996: 243-250. abstract R. Cole, B. Maggs and R. Sitaraman. Routing on Butterfly Networks with Faulty Nodes. FOCS 1995: 558-570. abstract postscript R. Cole, P. Klein and R. Tarjan. An optimal work randomized parallel algorithm for minimum spanning trees. SPAA 1994: 11-15. abstract Data structures Publications Top of Page Mihai Badoiu, Richard Cole, Erik D. Demaine, John Iacono. A unified access bound on comparison-based dynamic dictionaries. Theor. Comput. Sci . (2): 86-96 (2007). pdf Richard Cole, Lee-Ad Gottlieb. Searching dynamic point sets in spaces with bounded doubling dimension. STOC 2006: 574-583. pdf Richard Cole and Ramesh Hariharan. Dynamic LCA queries. SIAM Journal on Computing , 34(4): 894-923 (2005). Preliminary version appeared in SODA 1999: 235-244. abstract postscript R. Cole, B. Mishra, J. Schmidt, A. Siegel. On the dynamic finger conjecture for splay trees. Part I: Splay sorting log n block sequences. SIAM Journal on Computing, 2000, Vol. 30, 1-43. abstract postscript R. Cole. On the dynamic finger conjecture for splay trees. Part II: Finger searching. SIAM Journal on Computing, 2000, 30, 44-85 . abstract postscript Sorting Publications Top of Page Richard Cole, Vijaya Ramachandran. Resource Oblivious Sorting on Multicores. ICALP 2010: 226-237. pdf Richard Cole,David C. Kandathil. The Average Case Analysis of Partition Sorts. ESA 2004: 240-251. pdf Richard Cole. Parallel Merge Sort. SIAM Journal on Computing, 1988. 17(4): 770-785. Graph Algorithms Publications Top of Page Richard Cole, Lukasz Kowalik. New Linear-Time Algorithms for Edge-Coloring Planar Graphs. Algorithmica 50(3): 351-368 (2008). pdf Richard Cole, Lukasz Kowalik, Riste Skrekovski. A Generalization of Kotzig's Theorem and its Application. SIAM J. Discrete Math 21(1): 93 - 106 (2007). pdf Richard Cole, Ramesh Hariharan. A fast algorithm for computing Steiner edge connectivity. STOC 2003: 167-176. postscript R. Cole, M. Farach, R. Hariharan, T. Przytycka and M. Thorup. An O(n log n) Algorithm for the Maximum Agreement Subtree Problem for Binary Trees. Preliminary version appeared in SODA 1996: 323-332. abstract postscript R. Cole, K. Ost, S. Schirra. Edge-Coloring Bipartite Multigraphs in 0 ( E log D ) Time. Combinatorica, 2001, 21: 5-12. abstract postscript Miscellaneous Publications Top of Page Richard Cole, Howard Karloff. Fast Algorithms for Constructing Maximum Entropy Summary Trees. ICALP 2014: 332-343. pdf Hiroshi Ishikawa, Davi Geiger, Richard Cole: Finding Tree Structures by Grouping Symmetries. ICCV 2005: 1132-1139. pdf Richard Cole, Dennis Shasha, Xiaojian Zhao. Fast window correlations over uncooperative time series. KDD 2005: 743-749. pdf R. Cole, R. Hariharan, M. Lewenstein, E. Porat. A faster implementation of the Goemans-Williamson clustering algorithm. SODA 2001: 17-25. abstract postscript R. Cole, A. Frieze, B. M. Maggs, M. Mitzenmacher, A. W. Richa, R. K. Sitaraman, E. Upfal. On Balls and Bins with Deletions. Proceedings of the Second International Workshop on Randomization and Approximation Techniques in Computer Science , 1998. abstract postscript diff --git a/src/data/compiled_bios/3177.txt b/src/data/compiled_bios/3177.txt new file mode 100644 index 0000000000..1600e7a421 --- /dev/null +++ b/src/data/compiled_bios/3177.txt @@ -0,0 +1 @@ + Patrick COUSOT Professor of Computer Science Julius Silver, Roslyn S. Silver, and Enid Silver Winslow Professor Courant Institute of Mathematical Sciences New York University Short biography Research interests (Abstract interpretation) (Radhia Cousot Award) Projects NSF Grant CNS-1446511 (CPS: Breakthrough: Cyber-Physical System Securitization by Responsibility Analysis) NSF Grant CCF-1617717 (SHF:Small: Semantics, Static Analysis, and Refencing of Concurrent Programs with Weak Memory Models) Publications (by research themes ), talks , and summer schools Patrick Cousot, Roberto Giacobazzi , and Francesco Ranzato . Program Analysis Is Harder Than Verification: A Computability Perspective . 30th International Conference on Conference on Computer-Aided Verification (CAV 2018) , July 14-17, Oxford, UK. A paper I never wrote has 186 citations and 20 reads: Talks Patrick Cousot. Analyse statique de dpendance par interprtation abstraite. Journe en l'honneur de Nicolas Halbwachs, (Nicolas Halbwachs's Fest) , Grenoble, France, Lundi 4 juin 2018. Conferences SAS 2019: 26th International Symposium on Static Analysis, Porto, Portugal, October 9-11, 2019 ( Radhia Cousot Award ) Courses CSCI-GA.3110-001, fall 2018, Honors Programming Languages CSCI-GA.3140-001, spring 2019, Abstract Interpretation Seminars Dagstuhl Seminar 16471, Concurrency with Weak Memory Models: Semantics, Languages, Compilation, Verification, Static Analysis, and Synthesis , co-organizer with Jade Alglave and Caterina Urban , Sunday, November 20, 2016 to Friday, November 25, 2016 Program committees VMCAI 2019 - 20th International Conference on Verification, Model Checking, and Abstract Interpretation Conference organization SAS 2017, 24th Static Analysis Symposium August 30thSeptember 1st, 2017, New York City, NY, USA Contact at NYU Web page at ENS Web page at MIT Bibliography Core DBLP Google Scholar Microsoft Academic Semantic Scholar Scopus Elsevier (where I discovered I am a specialist in "Surface mount technology", "Costs", "Explosions", "Chemical analysis", etc so artificially intelligent) The Collection of Computer Science Bibliographies Springerlink Honors The first French B2B review website founded by my son Laurent Cousot . Last modified: diff --git a/src/data/compiled_bios/3178.txt b/src/data/compiled_bios/3178.txt new file mode 100644 index 0000000000..4ebeaf6dc3 --- /dev/null +++ b/src/data/compiled_bios/3178.txt @@ -0,0 +1 @@ + Ernest Davis Department of Computer Science, Courant Institute of Mathematical Sciences, New York University Contact Email: . Email is best Phone: (212) 998-3123. Fax: (212) 995-4121 Address: Dept. of Computer Science, New York University, Room 329, 251 Mercer St., New York NY 10012 USA Teaching Current Course Web Page: Artificial Intelligence Previous Course Web Pages Academic Family Tree (Teachers and Students) Computer Science Education At NYU Research In my research, I study the problem of representing commonsense knowledge: that is, the problem of taking the basic knowledge about the real world that is common to all humans; expressing it in a form that is systematic enough to be used by a computer program; and providing the program with techniques for effectively using that knowledge. My work has focused primarily on spatial and physical reasoning, but I have also looked at reasoning about knowledge, belief, plans, and goals, and their interaction with physical reasoning. Current research projects Reasoning about Containers Ontology of Matter and other Physical Reasoning Qualitative Spatial Reasoning Commonsense Reasoning and Text Comprehension Commonsense Reasoning and Probability Theory If you are interested in commonsense reasoning, you should check out the recent symposium Commonsense 2017. You might also like to look at the Common Sense Problem Page, the Winograd Schema Challenge, and the CACM 2015 article surveying the state of the art by Gary Marcus and me. Publications Books Complete List of Research Papers Research Papers with Abstracts Surveys and Essays Book Reviews Writing for a General Audience Recreational Writing Presentations Videos Curriculum Vitae Non-technical Writing I write book reviews (frequently) and opinion pieces (occasionally), on topics ranging across computer science, mathematics, cognitive psychology, history of science, scientific biography, digital humanities, invented languages, and children's literature. These have been published in SIAM News, Computing Reviews, American Scientist, Mythprint, The New York Times, The Times Literary Supplement, The Financial Times, and the online New Yorker. I have also written a small collection of light verse entitled Verses for the Information Age. Personal and Family Material diff --git a/src/data/compiled_bios/3179.txt b/src/data/compiled_bios/3179.txt new file mode 100644 index 0000000000..7b29b5806e --- /dev/null +++ b/src/data/compiled_bios/3179.txt @@ -0,0 +1 @@ + Yevgeniy Dodis Professor Cryptography Group Department of Computer Science Courant Institute of Mathematical Sciences New York University Publications | CV | Advising | Teaching | Professional | Contact | Miscellaneous My main interests are in Cryptography ; especially Exposure-Resilient Cryptography Cryptography and Imperfect Randomness Cryptography with Biometrics and Other Noisy Data Hash Functions and Random Oracle Model Information-Theoretic Cryptography More generally, I'm interested in Theoretical Computer Science at large (Algorithms, Complexity, Combinatorics, etc.). Publications Research Papers (in reverse chronological order) Surveys, Book Chapters, Thesis, etc. DBLP , Google Citation , Crypto/Eurocrypt/TCC: since 1999 / all-time . See also Implementation of secure skecthes (by Leonid Reyzin ) I am also a contributor to Ron Rivests MD6 effort Curriculum Vitae (check the date at the end) Short Biographical Sketch Short interview on NBC News about the use of encrypted technology by terrorists. Daily Texan article about random number generation covering some of my work. Facebook award on "Secure the Internet" for my work on Encrypted messaging. Advising Graduated PhD students : (12) Noah Stephens-Davidowitz (August 2017), (11) Chaya Ganesh (August 2017). (10) Sasha Golovnev (May 2017), (9) Aris Tentes (September 2014), (8) Adriana Lopez-Alt (April 2014), (7) Daniel Wichs (September 2011), (6) Joel Alwen (September 2011), (5) Sherman Chow (September 2010), (4) Carl Bosley (September 2009), (3) Shabsi Walfish (Fall 2007), (2) Prashant Puniya (Summer 2007), (1) Nelly Fazio (Spring 2006). Current PhD students : Harish Karthikeyan, Assimakis Kattis. Postdocs : Sandro Coretti. What to do if you are interested in working with me? Teaching Spring 2019: Fundamental Algorithms (graduate: CSCI-GA.1170). Fall 2016: Basic Algorithms (graduate: CSCI-UA.0310). Fall 2016: Fundamental Algorithms (graduate: CSCI-GA.1170). Spring 2016: Fundamental Algorithms (graduate: CSCI-GA.1170). Fall 2015: Fundamental Algorithms (graduate: CSCI-GA.1170). Spring 2015: Basic Algorithms (undergraduate: CSCI-UA.0310). Fall 2014: Fundamental Algorithms (graduate: CSCI-GA.1170). Spring 2014: Randomness in Cryptography (graduate: CSCI-GA.3220/MATH-GA.2180). COURSE NOTES Fall 2013: Fundamental Algorithms (graduate: CSCI-GA.1170). Spring 2013: Randomness in Cryptography (graduate). Fall 2012: Fundamental Algorithms (graduate: CSCI-GA.1170). Spring 2012: Introduction to Cryptography (graduate: CSCI-GA.3210/MATH-GA.2170). COURSE NOTES Fall 2011: Fundamental Algorithms (graduate: CSCI-GA.1170). Fall 2010: Basic Algorithms (regular and honors) (undergraduate: V22.0310). Spring 2010: Basic Algorithms (regular and honors) (undergraduate: V22.0310). Fall 2009: Advanced Cryptography (graduate: G22.3220/G63.2180). COURSE NOTES Spring 2009: Basic Algorithms (regular and honors) (undergraduate: V22.0310). Fall 2008: Introduction to Cryptography (graduate: G22.3210/G63.2170). Spring 2007: Exposure-Resilient Cryptography (graduate: G22.3033-013). Fall 2006: Introduction to Cryptography (graduate: G22.3210/G63.2170). Spring 2006: Cryptography & Imperfect Randomness (graduate: G22.3220). Spring 2006: Introduction to Cryptography (undergraduate: V22.0480-003). Spring 2005: Introduction to Cryptography (undergraduate: V22.0480-005). Spring 2004: Honors Theory of Computation (graduate: G22.3350). Fall 2003: Basic Algorithms (honors) (undergraduate: V22.0310). Spring 2003: Honors Theory of Computation (graduate: G22.3350). Fall 2002: Introduction to Cryptography (undergraduate: V22.0480-001). Fall 2001: Introduction to Cryptography (graduate: G22.3033-003). COURSE NOTES Spring 2001: Honors Theory of Computation (graduate: G22.3350). Some Professional Activities Editor of Journal of Cryptology . Organizer of NYU Cryptography Seminar . Send me e-mail if you'd like to present or put on our mailing list! Everybody is welcome! This is also a 1 credit Research Seminar for our PhD students (number G22.3850-001). Co-Organizer of IBM/NYU/Columbia Theory Day . Current meeting: Friday, December 7, 2018 . I am affiliated with the following upcoming Conferences: All PCs: FOCS 2008 , STOC 2017 , 2007 , CRYPTO 2014 , 2012 , 2011 , 2008 , 2007 , 2004 , Eurocrypt 2018 , 2016 , 2006 , 2005 , 2003 , TCC 2015 , 2014 , 2008 , ITCS 2013 , ASIACRYPT 2010 , RSA 2006 , CCS 2005 , SCN 2010 , CSR 2013 , ICITS 2008 , ICISC 2006 , 2005 , DRMTICS 2005 . TCC 2015 . Program co-Chair. Mar 23-25, 2015, Warsaw, Poland. STOC 2012 . Local Arrangements Chair. May 19-22, 2012, New York, NY. Tutorials held here at NYU . TCC 2008 . PC member and General Chair. March 19-21, 2008, New York, NY. PKC 2006 . Co-Editor, General and Sponsorship Chair. Apr 24-26, 2006, New York, NY. I gave/will give invited talks at the following venues: IACR Spotniq School on Proof Techniques in Symmetric Key Cryptography , July 29-August 3, 2018, Bertinoro, Italy. Simons Reunion Workshop on Pseudorandomness , June 19, 2018, Berkeley, CA, Crypto in the Galilee Workshop , April 27, 2018, Ma'alot-Tarshiha, Israel. NYU Scholar Lecture Series , Nov 30, 2017, New York, NY. Security and Privacy Day , Oct 13, 2017, New York, NY. Theory at UBC Mini-Symposium , Feb 3, 2017, Vancouver, Canada. COST-IACR School on Randomness in Cryptography , Nov 14-16, 2016, Barcelona, Spain. Tutorial on Mathematics of Information-Theoretic Cryptography , Sep 19-23, 2016, Singapore. DIMACS Workshop on Cryptography and its Interactions: Learning Theory, Coding Theory, and Data Structures . Jul 11-13, 2016, Piscataway, NJ. 2016 Capital Area Theory Day . May 26, 2016, Johns Hopkins University, Baltimore, MD. Nexus of Information and Computation Theories Secrecy and Privacy Theme . March 21-April 1, 2016, Institut Henri Poincare, Paris, France. TCC'16 . January 10-13, 2016, Suzanne Dellal Center, Tel Aviv, Israel. Second Desert Workshop in Cryptography , January 7-10, Sde Boker, Israel. DIMACS/Columbia Data Science Institute Workshop on Cryptography for Big Data . December 14-15, 2015, Columbia University, New York, NY. Indocrypt'15 . December 6-9, 2015, Indian Institute of Science, Bangalore, India. Workshop on Foundations of Randomness . October 26-28, 2015, Stellenbosch Institute for Advanced Study, Stellenbosch, South Africa. The Mathematics of Modern Cryptography . July 6-10, 2015, Berkeley, CA. DIMACS Workshop on Coding-Theoretic Methods for Network Security . Apr 1-3, 2015, Piscataway, NJ. NYC BSD User Group ( video ). April 1, 2014, New York, NY. Real World Cryptography Workshop . January 13-15, 2014, New York, NY. Celebration of the work of Shafi Goldwasser and Silvio Micali , December 10-12, Rehovot, Israel. Workshop on Leakage, Tampering and Viruses . June 2-6, 2013, Warsaw, Poland. International State of the Art in Cryptography - Security . May 30-31, 2013, Athens, Greece. Mathematics of Information-Theoretic Cryptography . May 21-25, 2013, Leiden, Netherlands. DIMACS Workshop on Current Trends in Cryptology . Apr 29-May 1, 2013, New York, NY. Dimacs Workshop on Information-Theoretic Network Security . November 12-14, 2012, Piscataway, NJ. Dagstuhl Privacy-Oriented Cryptography Workshop . September 16-21, 2012, Dagstuhl, Germany. Cryptography and Complexity Day . June 21, 2012, Paris, France. Workshop on Formal and Computational Cryptographic Proofs . April 13, 2012, Cambridge, UK. Crypto Day . January 27, 2012, New York, NY. Dagstuhl Symmetric-Key Cryptography Workshop . January 15-20, 2012, Dagstuhl, Germany. Dagstuhl Public-Key Cryptography Workshop . September 25-30, 2011, Dagstuhl, Germany. Workshop on Mathematics of Information-Theoretic Cryptography . February 28-March 4, 2011, Los Angeles, CA. Trends in Theoretical Cryptography Conference . January 10-12, 2011, Beijing, China. Cloud Cryptography Workshop . August 5-6, 2010, Redmond, WA. Workshop on Provable Security against Physical Attacks . February 15-19, 2010, Leiden, Netherlands. International Conference on Information Theoretic Security . December 3-6, 2009, Shizuoka, Japan. Crypto in the Clouds Workshop . August 2-5, Cambridge. Workshop on Cryptographic Protocols and Public-Key Cryptography . May 24-29, 2009, Bertinoro, Italy. Dagstuhl Foundations of Information Security Workshop . November 30-December 5, 2008, Dagstuhl, Germany. Summer School on Rational Cryptography . June 1-6, 2008, Bertinoro, Italy. Dimacs Workshop on Data Privacy . February 4-7, 2008, Piscataway, NJ. Dagstuhl Cryptography Workshop . September 16-21, 2007, Dagstuhl, Germany. Workshop on Cryptographic Protocols . March 4-9, 2007, Bertinoro, Italy. Workshop on Foundations of Secure Multi-Party Computation . November 13-17, 2006, Los Angeles, CA. Various Faces of Cryptography Conference . November 10, 2006, New York, NY, November 2006. Summer School on Game Theory in Computer Science . June 26-30, 2006, Aarhus Univeristy, Demnark. Workshop on Cryptography and Information Security (WCIS) 2005 . October 21, 2005, Tokyo, Japan. Information Theory Workshop (ITW) 2005 . October 16-19, 2005, Awaji Island, Japan. International Workshop on Pairings in Cryptography (PIC) 2005 . June 12-15, 2005, Dublin, Ireland. Worskshop on Provable Security , November 3-5, 2004, Versailles, France. Workshop on Secure Multiparty Protocols (SMP) 2004 , Oct 7-8, 2004, Amsterdam, Netherlands. ICATHS 2004 . Aug 12-13, 2004, Storrs, CT. Selected Areas in Cryptography (SAC) 2004 . Aug 9-10, 2004, Waterloo, Canada. DIMACS Workshops: Cryptographic Protocols (5/2002) , Coding Theory (3/2001) , Cryptography and Intractability (3/2000) . Special Cryptography Workshops: Dagstuhl (10/2005) , Luminy (11/2004) , Dagstuhl (9/2002) , Monte Verita (3/2001). Contact Info Email : dodis cs.nyu.edu; Office : WWH-413 ( directions , building 46). Also see Local Map . Telephones : (212) 998-3084 (work); (212) 529-4743 (home); (212) 995-4124 (fax) Address : Dept. of Computer Science New York University 251 Mercer St. New York, NY 10012 Semi-Random Stuff Personal Some of my FAVORITE SAYINGS (growing log, suggestions welcome!) My Erdos Number is 2 (Dodis Spencer Erdos, or Dodis Winkler Erdos). My current H-number (aka h-index) is 59 . Old favorite of mine: Putnam Exam . Favorite year: 1995 . Tribute to my favorite mathematician: Leonhard Euler . I often check Cryptography E-Print and Complexity ECCC Archives. My OLD MIT page . Fun Puzzles: Think Clear , Magic Ball , Hacker , Square , Briangle , BrainFood , BridgeCross , Stop Lenin . I enjoy playing badminton with NYU Badminton Club . In a Lighter Vein Interested in a PhD ? Perhaps in Theoretical CS ? Or Math ? You need motivation , note-taking and production . Then come conference talks , the defense , the fame , the press and the wishful prayer . Ever zoned out at a party? Get real , learn to dance or grab a beer ! Some "deep stuff" (try reloading!), inspired by these deep analogies . How (not) to evolve . More on cats and dogs , men and women . Best "applied" research paper ever. The New Yorker Cartoon Caption Contest . Tired of long movies? Try 30-Second Bunnies Theatre . Are you a native Russian? Check here or here or here , or here . Alternatively, check your logic in Russian . Are you a native English? Check here . New York NYU : students' top choice and dream school . The New Yorker and the New Tork Times . Going Out? Check TimeOut or CitiSearch . Local Movies (or here ). I recommend Angelika and Lincoln Plaza theaters. Tired of Broadway ? Try Off or even Off-Off Broadway. See also NYT Section . Find out the Weather (I use this ). Google Local Map . Last modified: January 25, 2019. Thanks for visiting. diff --git a/src/data/compiled_bios/318.txt b/src/data/compiled_bios/318.txt new file mode 100644 index 0000000000..5bfdcb2454 --- /dev/null +++ b/src/data/compiled_bios/318.txt @@ -0,0 +1 @@ + Program Director Digital Production Arts School of Computing Clemson University Clemson, SC 29634 Office: 307 McAdams Hall Email: vbz@clemson.edu About Research Publications About Dr. Victor Zordan is the Program Director of Digital Production Arts and is faculty and division chair for Visual Computing within the School of Computing at Clemson University . Victor works on developing techniques in graphics, fabrication, and animation with focii in physically based modeling, interfaces, and human animation. He has been an enthusiast and graphics programmer for more than thirty years and a researcher investigating animation techniques for more than twenty. His interests are in physical simulation, motion capture, and algorithms used to create believable (and unbelievable) motion and to explore novel uses for animation in electronic games, medical and training applications, and virtual worlds. Dr. Zordan received his PhD from Georgia Tech at GVU . Dr. Victor Zordan is former faculty in the department of Computer Science and Engineering at University of California Riverside where he directed the Riverside Graphics Lab . Select Research Projects Coupling Simulations Akbay, M., Nobles, N., Zordan, V., Shinar T. An Extended Partitioned Method for Conservative Solid-Fluid Coupling, SIGGRAPH 2018, ACM Trans. Graph., Vol. 37, No. 4, Article 86, 2018 PDF arrow_upward Digital Fabrication Moore, E. Porter, M., Karamouzas, I., Zordan, V. Precision control of tensilie properties in fabric for computationsl fabrication, ACM Siggraph Symposium on Computational Fabrication (SCF) 2018. PDF arrow_upward MechVR: Physics in VR Zordan, V., Welter, J., Hindlekar, S. Smith, J.E., McKay, W. G., Lowe, K., Marti, C., Taylor, R., MechVR: a physical proxy for locomotion and interation in a virtual environment, ACM Siggraph Symposium on Motion in Games (MIG), 2017. (BEST PRESENTATION) PDF arrow_upward Tunable Robustness for Control da Silva, D., Nunes, R., Vidal, C., Cavalcante-Neto, J., Kry, P., Zordan, V., Tunable Robustness: An Artificial Contact Strategy with Virtual Actuator Control for Balance, Computer Graphics Forum, 2017. (Presented at SCA 2017) PDF arrow_upward Rotation Control for Dynamic Simulation Zordan, V., Brown, D., Macchietto, A., Yin, K., Control for Rotational Dynamics for Ground and Aerial Behaviors, TVCG, 2014. PDF Brown, D., Macchietto, A., Yin, K., Zordan, V., Control of Rotational Dynamics for Ground Behaviors, ACM SIGGRAPH/Eurographics Symposium on Computer Animation (SCA), 2013. (BEST PAPER) PDF Movie Bibtex arrow_upward Automatic Hand-Over Animation using PCA Wheatland, N., Joerg, S., Zordan, V., Automatic hand-over animation using Principle Component Analysis, Motion in Games (MIG) 2013. PDF arrow_upward Modal Control Nunes, R., Cavalcante-Neto, J., Vidal, C., Kry, P., Zordan, V., Using Natural Vibrations to Guide Control for Locomotion, ACM Siggraph Symposium on Interactive 3D Graphics and Games (I3D), 2012. PDF arrow_upward Hybrid Dynamics Nguyen, N., Arista, R., Liu, K. C., Zordan, V., Adaptive Dynamics with Hybrid Response , Siggraph Asia 2012 (Technical Brief). PDF Bibtex arrow_upward Performance Capture with Physical Interaction Nguyen, N., Wheatland, N., Brown, D., Parise, B., Liu, C. K., Zordan, V., Performance capture with physical interaction, ACM SIGGRAPH/Eurographics Symposium on Computer Animation (SCA) 2010. PDF arrow_upward Stepping Control Wu, C.-C., Zordan, V., Goal-Directed Stepping with Momentum Control, ACM SIGGRAPH/Eurographics Symposium on Computer Animation (SCA) 2010. PDF arrow_upward Momentum Control for Balance Macchietto, A., Zordan, V., Shelton, C.R., Momentum Control for Balance, Transactions on Graphics/ACM SIGGRAPH 2009. PDF arrow_upward Anatomically Inspired Torso DiLorenzo, P., Zordan, V., Sanders, B., Laughing Out Loud: Control for Modeling Anatomically Inspired Laughter using Audio, Transactions on Graphics/ACM SIGGRAPH Asia 2008. PDF arrow_upward Anticipating Impacts Zordan V.B., Macchietto, A., Medina, J., Soriano, M., Wu, C.C., Metoyer, R., Rose, R., Anticipation From Example, ACM Virtual Reality Software and Technology (VRST) 2007. PDF arrow_upward Dynamic Response for Motion Capture Zordan, V. B., Majkowska, A., Chiu, B., Fast, M., Dynamic Response for Motion Capture Animation , ACM SIGGRAPH 2005. PDF Zordan, V. B., Macchietto, A., Medina, J., Soriano, M., Wu, C.C. Interactive Dynamic Response for Games, ACM SIGGRAPH Sandbox Symposium 2007. PDF arrow_upward Grasping Control Pollard, N. S., Zordan, V. B., Physically Based Grasping Control from Example, ACM SIGGRAPH/Eurographics Symposium on Computer Animation (SCA) 2005. PDF arrow_upward Motion Capture Processing Zordan, V. B., Horst, N. C., Mapping optical motion capture data to skeletal motion using a physical modelACM SIGGRAPH/Eurographics Symposium on Computer Animation, 2003. PDF arrow_upward Tracking Motion Capture Zordan, V. B., Hodgins, J. K., Motion capture-driven simulations that hit and react, ACM SIGGRAPH/Eurographics Symposium on Computer Animation, 2002, pp. 89-96. PDF arrow_upward Publications Copyright Notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without explicit permission. Conferences book Moore, E. Porter, M., Karamouzas, I., Zordan, V. Precision control of tensilie properties in fabric for computationsl fabrication , ACM Siggraph Symposium on Computational Fabrication (SCF) 2018. book Zordan, V., Welter, J., Hindlekar, S. Smith, J.E., McKay, W. G., Lowe, K., Marti, C., Taylor, R. MechVR: a physical proxy for locomotion and interation in a virtual environment , ACM Siggraph Symposium on Motion in Games (MIG) 2017. book Lixandru, E., Zordan, V., Physical rig for first-person, look-at cameras in video games , ACM Siggraph Symposium on Motion in Games (MIG) 2014. book Brown, D., Macchietto, A., Yin, K. K., Zordan, V., Control of Rotational Dynamics for Ground Behaviors , ACM SIGGRAPH/Eurographics Symposium on Computer Animation (SCA), 2013. (BEST PAPER) book Wheatland, N., Joerg, S., Zordan, V., Automatic hand-over animation using Principle Component Analysis , ACM Siggraph Symposium on Motion in Games (MIG) 2013. book Nguyen, N., Arista, R., Liu, K. C., Zordan, V., Adaptive Dynamics with Hybrid Response , Siggraph Asia 2012 (Technical Brief). book Kang, C., Wheatland, N., Neff, M., Zordan, V., Automatic hand-over animation for free-hand motions from low resolution input , ACM Siggraph Symposium on Motion in Games (MIG) 2012. book Nunes, R., Cavalcante-Neto, J., Vidal, C., Kry, P., Zordan, V., Using Natural Vibrations to Guide Control for Locomotion , ACM Siggraph Symposium on Interactive 3D Graphics and Games (I3D), 2012. book Liu, C. K., Zordan, V., Natural User Interface for Character Animation , Motion in Games (MIG), 2011. book Wu, C.C., Zordan, V., Goal-Directed Stepping with Momentum Control , ACM SIGGRAPH/Eurographics Symposium on Computer Animation (SCA), 2010. book Nguyen, N., Wheatland, N., Brown, D., Parise, B., Liu, C. K., Zordan, V., Performance capture with physical interaction , ACM SIGGRAPH/Eurographics Symposium on Computer Animation (SCA), 2010. book Zordan, V., Angular Momentum Control in Coordinated Behaviors , Third Annual International Conference on Motion in Games (MIG), 2010. book Sanders, B., DiLorenzo, P., Zordan, V., Bakal, D., Toward Anatomical Simulation for Breath Retraining in Mind/Body Medicine , Workshop on 3D Physiological Human, 2008. book Nunes, R., Vidal, C., Cavalcante-Neto, J., Zordan, V., Simple Feedforward Control for Responsive Motion Capture-Driven Simulations , International Symposium on Visual Computing (ISVC), 2008. book Wu, C.C., Medina, J. , Zordan, V., Simple Steps for Simply Stepping , International Symposium on Visual Computing (ISVC), 2008. book Nunes, R., Vidal, C., Cavalcante-Neto, J., Zordan, V., Simulando Reacoes Flexiveis em Movimentos Capturados (in Portuguese), Symposium on Virtual and Augmented Reality (SVR), 2008. book Chiu, B., Zordan, V.B., Wu, C.C., State-Annotated Motion Graphs , ACM Virtual Reality Software and Technology (VRST) 2007. book Zordan, V.B., Macchietto, A., Medina, J., Soriano, M., Wu, C.C., Metoyer, R., Rose, R., Anticipation from Example , ACM Virtual Reality Software and Technology (VRST) 2007. book Yankov, D., Keogh, E., Medina, J., Chiu, B., Zordan, V., Detecting Motifs Under Uniform Scaling . , SIGKDD 2007. book Zordan, V.B., Macchietto, A., Medina, J., Soriano, M., Wu C.C., Interactive Dynamic Response for Games , ACM SIGGRAPH Sandbox Symposium 2007. book Soriano, M., Wu C.C., Macchietto, A., Medina, J., Zordan, V.B., Interactive Dynamic Response for Games , ACM SIGGRAPH/Eurographics Symposium Computer Animation (SCA) - Poster 2007. book Nguyen, N., Sundararajan, V., Zordan, V.B., Motion Classification Using Wireless Sensors for Activity Monitoring in Firefighting , ASME/IEEE International Conference on Mechatronic and Embedded Systems and Applications (MESA) 2007. book Matsunaga, M., Zordan, V.B., A Dynamics-based Comparison Metric for Motion Graphs , Computer Graphics International (CGI) 2007. book Matsunaga, M., Zordan, V.B., A Dynamics-based Comparison Metric for Motion Graphs , I3D poster, 2007 (awarded BEST "student poster" - 2nd place) book Metoyer, R.A., Zordan, V.B., Hermens, B., Wu, C.C., Soriano, M., Anticipating Impacts , ACM SIGGRAPH Technical Sketch, 2006. book Majkowska, A., Zordan, V. B., Faloutsos, P., Automatic Splicing for Hand and Body Animations , ACM SIGGRAPH/Eurographics Symposium on Computer Animation (SCA), 2006. book Majkowska, A., Zordan, V. B., Faloutsos, P., A utomatic Splicing for Hand and Body Animations , ACM SIGGRAPH Technical Sketch, 2006. book Pollard, N. S., Zordan, V. B., Physically Based Grasping Control from Example , ACM SIGGRAPH/Eurographics Symposium on Computer Animation (SCA), 2005. book Zordan, V. B., Celly, B., Chiu, B., Dilorenzo, P. C., Breathe Easy: Model and control of human respiration for computer animation ACM SIGGRAPH/Eurographics Symposium on Computer Animation (SCA), 2004 (29-38). book Zordan, V. B., Celly, B., Chiu, B., Dilorenzo, P. C., Technical Sketch: Model and control of simulated respiration for animation Visual Proceedings of ACM SIGGRAPH 2004 , Los Angeles, California, August 2004. book DiLorenzo, P. C., Zordan, V. B., Tran, D., Interactive animation of cities over time , 17th International Conference on Computer Animation and Social Agents (CASA) 2004, Geneva, Switzerland. book Celly, B., Zordan, V. B., Animated People Textures , 17th International Conference on Computer Animation and Social Agents (CASA) 2004, Geneva, Switzerland. book Keogh, E., Palpanas, T., Zordan, V., Gunopulos, D. and Cardle, M. (2004) Indexing Large Human-Motion Databases . In proceedings of the 30th International Conference on Very Large Data Bases (VLDB), Toronto, Canada. book Keogh, E., Celly, B. , Ratanamahatana, C. A., and Zordan, V. A Novel Technique for Indexing Video Surveillance Data . ACM SIGMM 2003 Workshop on Video Surveillance, in conjunction with eleventh ACM International Conference on Multimedia, 2003. book Zordan, V. B., Horst, N. C., Mapping optical motion capture data to skeletal motion using a physical model , ACM SIGGRAPH Symposium on Computer Animation, 2003. book Zordan, V. B., Hodgins, J. K., Motion capture-driven simulations that hit and react , ACM SIGGRAPH Symposium on Computer Animation, 2002. book Mataric, M. J., Jenkins, O. C., Fod, A., and Zordan, V. B., Control and Imitation in Humanoids AAAI Fall Symposium on Simulating Human Agents, North Falmouth, MA, Nov. 2000. book Zordan, V. B., Hodgins, J. K., Tracking and Modifying Upper-body Human Motion Data with Dynamic Simulation Computer Animation and Simulation '99, Eurographics Animation Workshop, Sept 1999, Springer-Verlag, Wien, pp. 13-22. book Zordan, V. B., Hodgins, J. K., Technical Sketch: Tracking Human Motion Data with Dynamic Simulation Visual Proceedings of ACM SIGGRAPH 1999, Los Angeles, California, August 1999. book Mataric, M. J., Zordan, V. B., Mason, Z., Movement Control Methods for Complex, Dynamically Simulated Agents: Adonis Dances the Macarena Proceedings of Autonomous Agents '98, Minneapolis/St. Paul, May 1998, pp 317-324. book Hodgins, J. K., O'Brien, J. F., Zordan, V. B. Technical Sketch: Combining Active and Passive Simulations for Secondary Motion Visual Proceedings of ACM SIGGRAPH 1997, Los Angeles, California, August 1997. arrow_upward Journals book Akbay, M., Nobles, N., Zordan, V., Shinar, T., An Extended Partitioned Method for Conservative Solid-Fluid Coupling , SIGGRAPH 2018, ACM Transactions on Graphics, Vol. 37, No. 4, Article 86, 2018. book D. da Silva, Nunes, Vidal, J. Cavalcante-Neto, P. Kry, V. Zordan Tunable Robustness: An Artificial Contact Strategy with Virtual Actuator Control for Balance , Computer Graphics Forum, 2017. book P. Segre R. Dakin V. Zordan M. Dickinson A. Straw D. Altshuler Burst muscle performance predicts the speed, acceleration, and turning performance of Annas hummingbirds , eLife, 2015.. book N. Wheatland, Y Wang, H. Song, M. Neff, V. Zordan, S. Joerg State of the Art in Hand and Finger Modeling and Animation , Computer Graphics Forum, 2015. book J. Deveau, S. Jaeggi, V. Zordan, C. Phung, A. Seitz, How to build better memory training games , Frontiers in Systems Neuroscience, 2015. book V. Zordan D. Brown, A. Macchietto, K. Yin, Control for Rotation Dynamics for Ground and Aerial Behaviors , IEEE Transactions on Visualization and Computer Graphics (TVCG) 2014. book Macchietto, A., Zordan, V., Shelton, C.R., Momentum Control for Balance , Transactions on Graphics/ACM SIGGRAPH 2009. book Ishigaki S., White T., Zordan V., Liu K.C., Performance-Based Control Interface for Character Animation , Transactions on Graphics/ACM SIGGRAPH 2009. book DiLorenzo, P., Zordan, V., Sanders, B., Laughing Out Loud: Control for Modeling Anatomically Inspired Laughter using Audio , Transactions on Graphics/ACM SIGGRAPH Asia 2008. book Metoyer, R. A., Zordan, V. B., Hermens, B., Wu, C. C., Soriano, M., Psychologically inspired anticipation and dynamic response for impacts to the head and upper body , Transactions on Visual Computing and Graphics (TVCG) 2007. book Zordan, V. B., Majkowska, A., Chiu, B., Fast, M., Dynamic Response for Motion Capture Animation , Transactions on Graphics/ACM SIGGRAPH 2005. book Zordan, V. B., Celly, B., Chiu, B., Dilorenzo, P. C., Breathe Easy: Model and control of human respiration for computer animation Graphical Models , 2005. book O'Brien, J. F., Zordan, V. B., Hodgins, J. K., Combining Active and Passive Simulations for Secondary Motion IEEE: Computer Graphics and Applications, July/August 2000, Vol. 20, No. 6, pp. 86-96. book Mataric, M. J., Zordan, V. B., Williamson, M. M., Making Complex Articulated Agents Dance: an analysis of control methods drawn from robotics, animation, and biology Autonomous Agents and Multi-Agent Systems, 2(1), Mar 1999, 23-44. arrow_upward Other book Hindlekar, S., Zordan, V., Smith, J. E., Welter, J., McKkay, W. G., MechVR: interactive VR motion simulation of "Mech" biped robot ACM SIGGRAPH 2016, VR VILLAGE, 2016. book Keogh, E., Lonardi, S., Zordan, V., Lee, S., and Jara, M., Visualizing the similarity of human and chimp DNA Multimedia Video , 2005. book Hodgins J. K., O'Brien J. F., Pollard N. S., Sumner, R. W., Wooten, W. L., Yngve, G. D., Zordan V. B., Creating Realistic Motion In Joseph D. Anderson and Barbara Fisher Anderson (eds.), Moving Image Theory: Ecological Considerations . Carbondale: Southern Illinois University Press (2005). book Zordan, V. B., Simulating Upper-body Intensive Activities from Human Motion Examples course notes and lecture , Animating Humans by Combining Simulation and Motion Capture Siggraph 2000, Course Notes Vol. 33, pp. 41-49. book Zordan, V. B., Pollard, N. S., Hodgins, J. K., et al., Alien Occurrence (computer generated animation , QT video 1:50 minutes, 50M), Presented at LCC's Video Opticon 98 at Georgia Tech, 1998. book Hodgins, J. K., Wooten, W. L., Zordan, V. B., et al., Atlanta in Motion (computer generated animation , QT video 1 minute, 24M), Presented in the Electronic Theater at Siggraph 1996. book O'Brien, J. F., Zordan, V. B., Hodgins, J. K., Comparison of Real and Simulated Basketball Net (computer generated image) ACM SIGGRAPH '98 technical slide set, Computer Graphics, August 1998. arrow_upward diff --git a/src/data/compiled_bios/3180.txt b/src/data/compiled_bios/3180.txt new file mode 100644 index 0000000000..c9e753a666 --- /dev/null +++ b/src/data/compiled_bios/3180.txt @@ -0,0 +1 @@ + Professor Deena Engel Department of Computer Science, New York University Home Teaching Curriculum Vitae Clinical Professor Director, Program in Digital Humanities and Social Science Department of Computer Science Courant Institute of Mathematical Sciences New York University 251 Mercer Street, Room 404 New York, New York 10012 Tel. 212-998-3131 Fax 212-995-4124 deena.engel AT nyu.edu Interests: Conservation of digital-born and software-based art Collections Management Systems and database implementation and design in contemporary art Digital Humanities: Inter-disciplinary studies in working with digital and computational art history; working with texts, textual analysis and literary studies Computer Science Pedagogy for graduate and undergraduate Humanities and Social Science students; methodologies in teaching in Cmoputer Science; enhancing education with technology. Bio: Deena Engel is a Clinical Professor as well as the Director of the Program in Digital Humanities and Social Science in the department of Computer Science of the Courant Institute of Mathematical Sciences at New York University. She is the recipient of four teaching awards at NYU: The Teach/Tech Award with Prof. Craig Kapp of The College of Arts and Science in May, 2016; the Courant Institute Samuel L. Marateck Prize for Outstanding Teaching in Computer Science in May, 2014; the College of Arts and Science Golden Dozen Teaching Award in May 2006; and a College of Arts and Science Outstanding Teacher Award in May 2001. She teaches undergraduate computer science courses on web and database technologies, as well as courses for undergraduate and graduate students in the Digital Humanities and the Arts. She also supervises undergraduate and graduate student research projects in the Digital Humanities and the Arts and collaborates on research on the conservation of software-based art and on digital studies in literature and the visual arts. Prior to entering academe, she ran a systems group in an international art auction house for nine years. Related Links Program in Digital Humanities and Social Science Department of Computer Science, New York University Courant Institute, New York University Courses AY 2014-2015 Spring, 2015 CSCI-UA.60-1 Database Design and Web Implementation CSCI-UA.2-2 Introduction to Programming (Python) Fall, 2014 CSCI-UA.60-1 Database Design and Web Implementation CSCI-UA.380-2 Computing in the Humanities and the Arts Courses AY 2013-2014 Spring, 2014 CSCI-UA.60-1 Database Design and Web Implementation CSCI-UA.61-1 Web Development and Programming SCHOL-UA-10 Freshman Scholars Seminar Fall, 2013 CSCI-UA.60-1 Database Design and Web Implementation ENGL-GA.2971 -1 Practicum in Digital Humanities SCHOL-UA.3 Freshman Scholars Seminar Courses AY 2012-2013 Spring, 2013 CSCI-UA.2-1 Introduction to Programming (Python) CSCI-UA.60-1 Database Design and Web Implementation Fall, 2012 CSCI-UA.380-1 Special Topics: Computing in the Humanities and the Arts Student Projects CSCI-UA.61 Web Development and Programming CSCI-UA.4 Introduction to Web Design and Computer Principles Teaching Awards: Samuel L. Marateck Prize for Outstanding Teaching in Computer Science. Department of Computer Science, Courant Institute. Spring, 2014 (announcement) College of Arts & Sciences, Golden Dozen Teaching Award, Spring, 2006 College of Arts & Sciences, Outstanding Teaching Award, Spring, 2001 Talks Upcoming Talk: EMG (Electronic Media Group of the American Institute of conservation of Historic and Artistic Works) - Miami, FL May 2015 Computational Provenance and Computational Reproducibility: What Can We Learn About the Conservation of Software Art From Current Research in the Sciences? with Mark Hellar EMG (Electronic Media Group of the American Institute of conservation of Historic and Artistic Works) - San Fransisco, CA 5/30/2014 Museum / University Collaborations in Media Conservation Research with Prof. Glenn Wharton http://sched.co/1cX4qfK ( JPG ) National Portrait Gallery of the Smithsonian Institute, Washington D.C. 01/17/2014 - Technology Experiments in Art: Conserving Software-Based Artworks The Value of Software Documentation in Conserving Software-Art: Case Studies at the Museum of Modern Art (MoMA), New York City ( http://www.si.edu/tbma/symposiums ) ( PDF ) EMG (Electronic Media Group of the American Institute of conservation of Historic and Artistic Works) - Indianapolis, IN 5/31/2013 Technical Documentation of Source Code at the Museum of Modern Art with Glenn Wharton, Time-Based Media Conservator, Museum of Modern Art - http://www.conservation-us.org/index.cfm?fuseaction=Page.viewPage&pageId=1162 ( PDF ) SIGCSE 2013, Denver, Colorado, 3/8/2013: Poster Session - ( PDF ) Embracing the Digital Humanities: A Course on Computing in the Humanities for Undergraduate Computer Science Minor Students http://db.grinnell.edu/sigcse/sigcse2013/Program/viewAcceptedProposal.pdf?sessionType=poster&sessionNumber=2 ( PDF ) Yale University Library's Standing Committee on Professional Awareness (SCOPA) and the Digital Humanities Working Group, 02/10/2012: Putting Primary Source Material Online: A Case Study from New York University http://digitalhumanities.yale.edu/blog/2012/02/09/deena-engel-visit ( PDF ) - Notes and Bibliography NYU Workshop in Archival Practice, 10/14/2011: http://nyuarchiveworkshop.wordpress.com/2011/10/19/notes-from-archive-lab-digital-humanities-and-literary-archives/ ( PDF ) NYU, Center For Teaching Excellence: Workshop on the digital Humanities Why Digital Humanities? with Deena Engel, Kathleen Fitzpatrick, Michael Stoller, and Diana Taylor New York University Thursday, February 17, 2011. Co-sponsored by the Humanities Initiative at NYU. http://vinopal.org/2011/02/17/why-digital-humanities-notes-from-a-panel-discussion-at-nyu/ ( PDF ) Digital Humanities Conference, London - July, 2010; Poster Session: An Inter-Disciplinary Approach to Web Programming: A Collaboration Between the University Archives and the Department of Computer Science by Janet Marie Bunde and Deena Engel http://www.arts-humanities.net/audio/interview_deena_engel_dh2010 - ( PDF ) Poster ( PDF ) - Interview ( Audio ) NYU, Center for Teaching Excellence: Technology and Education Conference - (PDF) New York University, Friday, April 16, 2010 Computing in the Humanities Publications: Upcoming Publication: Source Code Analysis as Technical Art History Journal of the American Institute of Conservation (JAIC) by Deena Engel and Glenn Wharton, 2015 Upcoming Publication: Textual Artifacts and their Digital Representations: Teaching Graduate Students to Build An Online Archive Digital Humanities Quarterly (DHQ) by Deena Engel and Marion Thain, 2015 Reading between the lines: Source code documentation as a conservation strategy for software-based art Studies in Conservation by Deena Engel and Glenn Wharton, 2014 ( http://www.maneyonline.com/doi/abs/10.1179/2047058413Y.0000000115 ) Past or Portal? Enhancing Undergraduate Learning through Special Collections and Archives Edited by Eleanor Mitchell, Peggy Seiden, and Suzy Taraba. American Library Association, 2012. Co-author of Chapter 7 in "Pedagogy" - "New York University: Computing in the Humanities @ NYU Libraries" with Janet Bunde and Paula Feid. ( http://muse.jhu.edu/journals/portal_libraries_and_the_academy/v013/13.4.bahde.html ) Computing in the Humanities: An Interdisciplinary Partnership in Undergraduate Education by Janet Bunde and Deena Engel: Journal of Archival Organization , 1533-2756, Volume 8, Issue 2, 2010, Pages 149 - 159 Additional / Other Member of the Advisory Board: Academy for Software Engineering (a new New York City public high school) - 2011-2012. ( PDF ) "The Graduate Student as Entrepreneur" by Sarah Ruth Jacobs: Chronicle of Higher Education, 11/29/2011: http://chronicle.com/article/The-Graduate-Student-as/129903/ ( PDF ) Teaching: Research Projects with Students Project Title: Source Code Documentation for Computational Art at the Museum of Modern Art, New York. Supervisor: Professor Deena Engel, Courant Institute of Mathematics. MoMA Liaison: Glenn Wharton, Media Conservator, Museum of Modern Art. Students worked on a research project preparing documentation on a work of computational art in order to facilitate conservation decisions about this work in particular and to provide a model for this process for such works in general. The documentation included an overview of the technologies used, a flowchart of the work, identification and narrative descriptions of the functions and procedures and an overview to contextualize the work within the field of current computational art. CS Department Notice Resource Pages: Digital Humanities Course Resources in Literature, History, Music, Art, and related technologies NYU / CSCI-UA-380-1 Computing in the Humanities and the Arts - Sample Student Projects / Bobst Library, NYU Archive s NYU / ENGL-GA.2957 Topics in Literary Theory: Literary Archives and Web Development, Fall 2011 - Student Projects ... Course Description ... Syllabus NYU / ENGL-GA.2971 Practicum in Digital Humanities, Fall 2013 - Course Description ... Syllabus NYU / Dept of Computer Science - Prof Deena Engel [ deena.engel AT nyu.edu ] diff --git a/src/data/compiled_bios/3181.txt b/src/data/compiled_bios/3181.txt new file mode 100644 index 0000000000..7bb29579c6 --- /dev/null +++ b/src/data/compiled_bios/3181.txt @@ -0,0 +1 @@ + Home Publications Research Students Teaching Resources Bio Internal Associate Professor Vision, Learning and Graphics group, Dept. of Computer Science, Courant Institute of Mathematical Sciences, New York University I am also a Research Scientist at Facebook AI Research . Address: Room 1226, 715 Broadway, New York, NY 10003, USA. Directions to lab Research Overview My research is in the areas of Machine Learning and Computer Vision. I am particularly interested in applying Deep Learning methods to object recognition. I also work on low-level vision problems, with applications to computational photography and astronomy. Deep Learning for Computer Vision NIPS 2013 Tutorial [Slides ] Online Recognition Demo See our deep convolutional network demo here . This network achieves 16.5% top-5 error on the Imagenet 2012 classification challenge, around 2% better than the network of Krizhevsky et al. (NIPS 2012). Latest Work Pre-prints of recent research can be found on arXiv: Link Selected Projects Visualizing and Understanding Convolutional Networks Matt Zeiler and Rob Fergus, ECCV 2014, PDF Reconnaissance of the HR 8799 Exosolar System I: Near IR Spectroscopy B. R. Oppenheimer et al., Astrophysical Journal, March 2013 PDF | Project page Indoor Segmentation and Support Inference from RGBD Images Nathan Silberman, Derek Hoiem, Pushmeet Kolhi and Rob Fergus, ECCV 2012 PDF | NYU Depth Dataset v2.0 Adaptive Deconvolutional Networks for Mid and High Level Feature Learning Matt Zeiler, Graham Taylor and Rob Fergus, ICCV 2011 PDF | Project Page Learning Invariance through Imitation Graham Taylor, Ian Spiro, Christoph Bregler and Rob Fergus CVPR 2011. PDF | Project Page Blind Deconvolution using a Normalized Sparsity Measure Dilip Krishnan, Terence Tay and Rob Fergus, CVPR 2011 PDF | Project Page Dark Flash Photography Dilip Krishnan and Rob Fergus, ACM Trans. on Graphics (Proc. SIGGRAPH 2009). High res PDF (73Mb) | Low res PDF (5.1Mb) | Project page 80 million tiny images: a large dataset for non-parametric object and scene recognition Antonio Torralba, Rob Fergus and William T. Freeman PAMI, November 2008. PDF | Bibtex | Project page Removing Camera Shake From A Single Photograph Rob Fergus, Barun Singh, Aaron Hertzmann, Sam T. Roweis and William T. Freeman, ACM Trans. on Graphics (Proc. SIGGRAPH 2006). PDF | PPT | Code | Project page diff --git a/src/data/compiled_bios/3182.txt b/src/data/compiled_bios/3182.txt new file mode 100644 index 0000000000..7a80fbdb65 --- /dev/null +++ b/src/data/compiled_bios/3182.txt @@ -0,0 +1 @@ + Jean-Claude Franchitti Clinical Associate Professor Contact Information Bio Teaching Activities Site Navigation Contact Information Bio Teaching Activities Contact Information Email: jcf [at] cs [dot] nyu [dot] edu Mailing Address: Warren Weaver Hall, Room 309 251 Mercer St. New York, NY 10012-1185, U.S.A. Telephone Numbers: (212) 998-3014 (voice) (212) 203-5004 (cell) (212) 995-4124 (fax) Relevant Links: Computer Science Department Courant Institute of Mathematical Sciences New York University User login Username: * Password: * Request new password diff --git a/src/data/compiled_bios/3183.txt b/src/data/compiled_bios/3183.txt new file mode 100644 index 0000000000..71345b3484 --- /dev/null +++ b/src/data/compiled_bios/3183.txt @@ -0,0 +1 @@ + Welcome to Benjamin Goldberg's Home Page I am an Associate Professor in the Computer Science Department at NYU . I can be reached at: e-mail: goldberg@cs.nyu.edu phone: (212) 998-3495 fax: (212) 995-4121 New York University Department of Computer Science 251 Mercer Street, Room 401 New York, NY 10012 Personal Married to Wendy Kaplan Three sons : Jonathan, Zack, and Andrew. Click here to hear the theme song from "My Three Sons" Background Ph.D. Yale University , Dept. of Computer Science BA in Mathematical Sciences, Williams College , 1982. Publications available on-line . Interests Compiler Optimizations for Emerging Architectures The Trimaran Compiler Research Infrastructure for Instruction Level Parallel Architectures Programming Language Design and Implementation Large list of Programming Language Researchers Verification of Compiler Optimizations The Compiler Validation Project (part of the ACSys group) Languages and Tools for Parallel Computing Storage Management Functional Programming Languages diff --git a/src/data/compiled_bios/3184.txt b/src/data/compiled_bios/3184.txt new file mode 100644 index 0000000000..d3eb3a40ee --- /dev/null +++ b/src/data/compiled_bios/3184.txt @@ -0,0 +1 @@ + Allan Gottlieb's Home Page I am a professor in the Computer Science Department within the Courant Institute of New York University , where I once directed the NYU Ultracomputer Project . I was elected a fellow of the ACM in 2005. My email address is MyLastName nyu edu and my office address is 60 Fifth Ave, Room 316. Courses Current Semester Computer Systems Organization (201) Operating Systems (202) Previous Courses (starting Fall 1997). Office Hours: Tues/Thurs 2-3pm or by Appointment My Academic Family Tree My 50+ Year Puzzle Column A Short Bio My Book Family Photos diff --git a/src/data/compiled_bios/3185.txt b/src/data/compiled_bios/3185.txt new file mode 100644 index 0000000000..4f6a0b505f --- /dev/null +++ b/src/data/compiled_bios/3185.txt @@ -0,0 +1 @@ + Ralph Grishman Professor, Computer Science Dept Department of Computer Science Courant Institute of Mathematical Sciences New York University Contact Information Mail 60 Ffth Avenue, Room 300 New York, NY 10011, U.S.A. Phones 212.998.3497 (voice) 212.995.4123 (fax) Email grishman@cs.nyu.edu Research Prof. Grishman is the founder of the Proteus Project , which conducts a wide range of research in natural language processing. CV (for copies of recent papers, please see the Reports page of the Proteus Project) New: survey of information extraction Recent courses fall spring 1998-99 V22.0436 - Computer Architecture 1999-2000 (on sabbatical) (on sabbatical) 2000-01 V22.0201 - Computer Systems Org. I (Honors) G22.2590 - Natural Language Processing 2001-02 V22.0201 - Computer Systems Org. I (Honors) G22.2233 - Computer Systems Design 2002-03 V22.0201 - Computer Systems Org. I (Honors) G22.2590 - Natural Language Processing 2003-04 V22.0201 - Computer Systems Org. I (Honors) G22.2591 - Advanced Natural Language Processing 2004-05 V22.0201 - Computer Systems Organization I G22.2590 - Natural Language Processing 2005-06 V22.0201 - Computer Systems Org. I (Honors) G22.2590 - Natural Language Processing 2006-07 V22.0436 - Computer Architecture (on sabbatical) 2007-08 (deputy chair) G22.2590 - Natural Language Processing 2008-09 V22.0436 - Computer Architecture G22.2591 - Advanced Natural Language Processing 2009-10 V22.0436 - Computer Architecture G22.2590 - Natural Language Processing 2010-11 V22.0436 - Computer Architecture G22.2591 - Advanced Natural Language Processing 2011-12 (on sabbatical) (on sabbatical) 2012-13 CSCI-UA.0436 - Computer Architecture CSCI-GA.2590 - Natural Language Processing 2013-14 (on sabbatical) CSCI-GA.2590 - Natural Language Processing 2014-15 CSCI-UA.0436 - Computer Architecture CSCI-GA.2590 - Natural Language Processing 2015-16 CSCI-UA.0436 - Computer Architecture CSCI-GA.2590 - Natural Language Processing Software JET (Java Extraction Toolkit) diff --git a/src/data/compiled_bios/3186.txt b/src/data/compiled_bios/3186.txt new file mode 100644 index 0000000000..9920ee1e0b --- /dev/null +++ b/src/data/compiled_bios/3186.txt @@ -0,0 +1 @@ + He He ( How to pronounce? ) Gates 254 Stanford University hehe@cs.stanford.edu [ CV ] [ Google Scholar ] I am an applied scientist at Amazon Web Services, Palo Alto. Starting Fall 2019, I will be joining NYU CS as an assistant professor. Previously, I was a post-doc at Stanford University working with Percy Liang . I got my Ph.D. in Computer Science from University of Maryland, College Park , advised by Hal Daum III and Jordan Boyd-Graber . I am broadly interested in machine learning and natural language processing. I want to enable machines to communicate with people in a natural, efficient way. Towards this goal, my research focuses on language understanding in an interactive environment. Recent directions include dialogue systems and controllable text generation. Prospective students: I am looking for students to join my group next Fall. Please apply to either the PhD program in Computer Science or PhD program in Data Science . Publications 2018 Decoupling Strategy and Generation in Negotiation Dialogues . He He , Derek Chen , Anusha Balakrishnan and Percy Liang . Empirical Methods in Natural Language Processing (EMNLP) , 2018 [ bib ] [ project ] @inproceedings{he2018decouple, author={He He and Derek Chen and Anusha Balakrishnan and Percy Liang}, title={Decoupling Strategy and Generation in Negotiation Dialogues}, booktitle={Empirical Methods in Natural Language Processing (EMNLP)}, year={2018} } QuAC: Question Answering in Context . Eunsol Choi *, He He *, Mohit Iyyer *, Mark Yatskar *, Wen-tau Yih , Yejin Choi , Percy Liang and Luke Zettlemoyer . Empirical Methods in Natural Language Processing (EMNLP) , 2018 [ bib ] [ project ] @inproceedings{choi2018quac, author={Eunsol Choi and He He and Mohit Iyyer and Mark Yatskar and Wen-tau Yih and Yejin Choi and Percy Liang and Luke Zettlemoyer}, title={QuAC: Question Answering in Context}, booktitle={Empirical Methods in Natural Language Processing (EMNLP)}, year={2018} } Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context . Urvashi Khandelwal , He He , Peng Qi and Dan Jurafsky . Association for Computational Linguistics (ACL) , 2018 [ bib ] [ code ] @inproceedings{khandelwal2018lm, author={Urvashi Khandelwal and He He and Peng Qi and Dan Jurafsky}, title={Sharp Nearby, Fuzzy Far Away: How Neural Language Models Use Context}, booktitle={Association for Computational Linguistics (ACL)}, year={2018} } Delete, Retrieve, Generate: a Simple Approach to Sentiment and Style Transfer . Juncen Li , Robin Jia , He He and Percy Liang . North American Chapter of the Association for Computational Linguistics (NAACL) , 2018 [ bib ] [ code ] @inproceedings{li2018style, author={Juncen Li and Robin Jia and He He and Percy Liang}, title={Delete, Retrieve, Generate: a Simple Approach to Sentiment and Style Transfer}, booktitle={North American Chapter of the Association for Computational Linguistics (NAACL)}, year={2018} } 2017 Learning Symmetric Collaborative Dialogue Agents with Dynamic Knowledge Graph Embeddings . He He , Anusha Balakrishnan , Mihail Eric and Percy Liang . Association for Computational Linguistics (ACL) , 2017 [ bib ] [ project ] @inproceedings{he2017symmetric, author={He He and Anusha Balakrishnan and Mihail Eric and Percy Liang}, title={Learning Symmetric Collaborative Dialogue Agents with Dynamic Knowledge Graph Embeddings}, booktitle={Association for Computational Linguistics (ACL)}, year={2017} } 2016 Credit Assignment Compiler for Joint Prediction . Kai-Wei Chang , He He , Hal Daum III , John Langford and Stphane Ross . Neural Information Processing Systems (NIPS) , 2016 [ bib ] [ code ] @inproceedings{chang2016credit, author={Kai-Wei Chang and He He and Hal {Daum\'{e} III} and John Langford and Stphane Ross}, title={Credit Assignment Compiler for Joint Prediction}, booktitle={Neural Information Processing Systems (NIPS)}, year={2016} } Opponent Modeling in Deep Reinforcement Learning . He He , Jordan Boyd-Graber , Kevin Kwok and Hal Daum III . International Conference on Machine Learning (ICML) , 2016 [ bib ] [ code ] [ data ] @inproceedings{he2016opponent, author={He He and Jordan Boyd-Graber and Kevin Kwok and Hal {Daum\'{e} III}}, title={Opponent Modeling in Deep Reinforcement Learning}, booktitle={International Conference on Machine Learning (ICML)}, year={2016} } Interpretese vs. Translationese: The Uniqueness of Human Strategies in Simultaneous Interpretation . He He , Jordan Boyd-Graber and Hal Daum III . North American Chapter of the Association for Computational Linguistics (NAACL) , 2016 [ bib ] [ code ] @inproceedings{he2016interpretese, author={He He and Jordan Boyd-Graber and Hal {Daum\'{e} III}}, title={Interpretese vs. Translationese: The Uniqueness of Human Strategies in Simultaneous Interpretation}, booktitle={North American Chapter of the Association for Computational Linguistics (NAACL)}, year={2016} } Active Information Acquisition . He He , Paul Mineiro and Nikos Karampatziakis . arXiv:1602.02181 preprint , 2016 [ bib ] [ poster ] @article{he2016aia, author={He He and Paul Mineiro and Nikos Karampatziakis}, title={Active Information Acquisition}, journal={arXiv:1602.02181}, year={2016} } Object Detection in 20 Questions . Xi Chen , He He and Larry Davis . Winter Conference on Applications of Computer Vision (WACV) , 2016 [ bib ] @inproceedings{chen201620q, author={Xi Chen and He He and Larry Davis}, title={Object Detection in 20 Questions}, booktitle={Winter Conference on Applications of Computer Vision (WACV)}, year={2016} } 2015 Interactive Incremental Question Answering. ( Outstanding Demonstration Award ) Jordan Boyd-Graber , Mohit Iyyer , He He and Hal Daum III . Neural Information Processing Systems (NIPS) demo, 2015 Syntax-based Rewriting for Simultaneous Machine Translation . He He , Alvin Grissom II , John Morgan , Jordan Boyd-Graber and Hal Daum III . Empirical Methods in Natural Language Processing (EMNLP) , 2015 [ bib ] [ code ] [ slides ] @inproceedings{he2015rewrite, author={He He and Alvin {Grissom II} and John Morgan and Jordan Boyd-Graber and Hal {Daum\'{e} III}}, title={Syntax-based Rewriting for Simultaneous Machine Translation}, booktitle={Empirical Methods in Natural Language Processing (EMNLP)}, year={2015} } Learning to Search for Dependencies . Kai-Wei Chang , He He , Hal Daum III and John Langford . arXiv:1503.05615 preprint , 2015 [ bib ] [ code ] @article{chang2015dep, author={Kai-Wei Chang and He He and Hal {Daum\'{e} III} and John Langford}, title={Learning to Search for Dependencies}, journal={arXiv:1503.05615}, year={2015} } Crowdsourcing with Multi-Dimensional Trust . ( Tammy L. Blair Award Runner-up ) Xiangyang Liu , He He and John Baras . International Conference on Information Fusion (Fusion) , 2015 [ bib ] @inproceedings{liu2015multitrust, author={Xiangyang Liu and He He and John Baras}, title={Crowdsourcing with Multi-Dimensional Trust}, booktitle={International Conference on Information Fusion (Fusion)}, year={2015} } Trust-Aware Optimal Crowdsourcing With Budget Constraint . Xiangyang Liu , He He and John Baras . International Conference on Communications (ICC) , 2015 [ bib ] @inproceedings{liu2015budget, author={Xiangyang Liu and He He and John Baras}, title={Trust-Aware Optimal Crowdsourcing With Budget Constraint}, booktitle={International Conference on Communications (ICC)}, year={2015} } 2014 Temporal Supervised Learning for Inferring a Dialog Policy from Example Conversations . Lihong Li , He He and Jason D. Williams . Spoken Lanugage Technology Workshop (SLT) , 2014 [ bib ] [ poster ] @inproceedings{li2014temporal, author={Lihong Li and He He and Jason D. Williams}, title={Temporal Supervised Learning for Inferring a Dialog Policy from Example Conversations}, booktitle={Spoken Lanugage Technology Workshop (SLT)}, year={2014} } Learning to Search in Branch and Bound Algorithms . He He , Hal Daum III and Jason Eisner . Neural Information Processing Systems (NIPS) , 2014 [ bib ] [ code ] [ poster ] @inproceedings{he2014bb, author={He He and Hal {Daum\'{e} III} and Jason Eisner}, title={Learning to Search in Branch and Bound Algorithms}, booktitle={Neural Information Processing Systems (NIPS)}, year={2014} } Don't Until the Final Verb Wait: Reinforcement Learning for Simultaneous Machine Translation . Alvin Grissom II , He He , John Morgan , Jordan Boyd-Graber and Hal Daum III . Empirical Methods in Natural Language Processing (EMNLP) , 2014 [ bib ] [ talk ] @inproceedings{grissom2014simtrans, author={Alvin {Grissom II} and He He and John Morgan and Jordan Boyd-Graber and Hal {Daum\'{e} III}}, title={Don't Until the Final Verb Wait: Reinforcement Learning for Simultaneous Machine Translation}, booktitle={Empirical Methods in Natural Language Processing (EMNLP)}, year={2014} } 2013 Dynamic Feature Selection for Dependency Parsing . He He , Hal Daum III and Jason Eisner . Empirical Methods in Natural Language Processing (EMNLP) , 2013 [ bib ] [ slides ] [ screencast ] @inproceedings{he2013dep, author={He He and Hal {Daum\'{e} III} and Jason Eisner}, title={Dynamic Feature Selection for Dependency Parsing}, booktitle={Empirical Methods in Natural Language Processing (EMNLP)}, year={2013} } 2012 Imitation Learning by Coaching . He He , Hal Daum III and Jason Eisner . Neural Information Processing Systems (NIPS) , 2012 [ bib ] [ poster ] @inproceedings{he2012coaching, author={He He and Hal {Daum\'{e} III} and Jason Eisner}, title={Imitation Learning by Coaching}, booktitle={Neural Information Processing Systems (NIPS)}, year={2012} } Besting the Quiz Master: Crowdsourcing Incremental Classification Games . Jordan Boyd-Graber , Brianna Satinoff , He He and Hal Daum III . Empirical Methods in Natural Language Processing (EMNLP) , 2012 [ bib ] @inproceedings{boyd-graber2012qb, author={Jordan Boyd-Graber and Brianna Satinoff and He He and Hal {Daum\'{e} III}}, title={Besting the Quiz Master: Crowdsourcing Incremental Classification Games}, booktitle={Empirical Methods in Natural Language Processing (EMNLP)}, year={2012} } Cost-sensitive dynamic feature selection . He He , Hal Daum III and Jason Eisner . ICML Workshop on Inferning , 2012 [ bib ] [ slides ] [ poster ] @inproceedings{he2012dynafea, author={He He and Hal {Daum\'{e} III} and Jason Eisner}, title={Cost-sensitive dynamic feature selection}, booktitle={ICML Workshop on Inferning}, year={2012} } 2011 Single Image Super-resolution using Gaussian Process Regression . He He and Wan-Chi Siu . Computer Vision and Pattern Recognition (CVPR) , 2011 [ bib ] [ code ] [ slides ] @inproceedings{he2011superres, author={He He and Wan-Chi Siu}, title={Single Image Super-resolution using Gaussian Process Regression}, booktitle={Computer Vision and Pattern Recognition (CVPR)}, year={2011} } 2010 Rare Class classification with SVM . He He and Ali Ghodsi . International Conference on Pattern Recognition (ICPR) , 2010 [ bib ] [ code ] [ poster ] @inproceedings{he2010rare, author={He He and Ali Ghodsi}, title={Rare Class classification with SVM}, booktitle={International Conference on Pattern Recognition (ICPR)}, year={2010} } diff --git a/src/data/compiled_bios/3187.txt b/src/data/compiled_bios/3187.txt new file mode 100644 index 0000000000..000879d8d4 --- /dev/null +++ b/src/data/compiled_bios/3187.txt @@ -0,0 +1 @@ + Nathan Hull Welcome iOSProgramming Apps Apps2 Apps3 Apps4 Flash OtherClasses Nathan Hull is a long-time teacher in New York Universitys Computer Science Department, and is a recipient of NYUs Outstanding Teaching Award. Nathan has taught many different courses at NYU ranging from programming courses such as Java, C, Pascal and Assembly Language, to Data Structures and Operating Systems. Over the past few years, he has had a particular interest in teaching Web Development topics, and created courses that teach such skills as HTML, JavaScript, Perl/CGI, Flash and Photoshop. Nathan was also one of the first professor anywhere to offer a course in iPhone Application Programming. This semester, he is repeating this course now known as "iOS Programming". In conjunction with CBS, Nathan Hull taught a course on national television as part of the Sunrise Semester series called Computers in Concept and Culture. It was 47 half-hours long, and covered a series of topics ranging from technical advancements to the impact of computers on society. Pictures (Clockwise from left) Nathan Hull in iPhone Programming class in Spring 2009; Winners of the First iPhone Programming Contest with Margaret Wright, CS Chair, and Beth Marshdoyle, Apple Computer; Nathan with students at the last two Apple WWDC conferences in San Francisco. Welcome diff --git a/src/data/compiled_bios/3188.txt b/src/data/compiled_bios/3188.txt new file mode 100644 index 0000000000..2540dc9ca8 --- /dev/null +++ b/src/data/compiled_bios/3188.txt @@ -0,0 +1 @@ + Craig M. Kapp Clinical Associate Professor Department of Computer Science New York University Home Classes CV Hi, I'm Craig I'm a Clinical Associate Professor of Computer Science at the Courant Institute of Mathematical Sciences at New York University. My interests include augmented reality, data visualization, graphics and gaming, interactive media and responsive software design, digital storytelling, web-based instructional and educational technology platforms and developing assistive technologies for people with disabilities. To get in touch feel free to e-mail me at kapp [-at-] cs [-dot-] nyu [-dot-] edu Contact e: kapp [-at-] cs [-dot-] nyu [-dot-] edu p: +1.212.998.3253 diff --git a/src/data/compiled_bios/3189.txt b/src/data/compiled_bios/3189.txt new file mode 100644 index 0000000000..bebc13b7cd --- /dev/null +++ b/src/data/compiled_bios/3189.txt @@ -0,0 +1 @@ + Favorites Print Email Evernote Facebook LinkedIn Twitter Instapaper | AddThis More About Contact Brief CV Academic Genealogy Zvi M. Kedem About : Bio Zvi Kedem is Professor and past Chair of the Department of Computer Science at the Courant Institute of Mathematical Sciences at New York University. After earning his D.Sc. at the Technion Israel Institute of Technology, and before joining NYU , he taught at Columbia University, MIT , SUNY at Stony Brook, and UT at Dallas. He has conducted research in a variety of areas in Computer Science, including Computer Graphics, Database Systems, Data Mining, Parallel and Distributed Computing and Systems, and Theory. As a principal and co-principal investigator he has obtained more than $10,000,000 in research funding and has authored and co-authored more than 50 scientific publications. He has served on funding and review panels, program committees of scientific meetings, and editorial boards of scientific journals. He has guided the dissertation research of more than 15 doctoral students and has more than 200 doctoral descendants. His professional achievements have been recognized by elections to Fellow by both ACM and IEEE . For his lengthy volunteer work as the Editor in Chief of the ACM Computing Classification System Update Project he was recognized with an Outstanding Contribution to ACM Award, of which he was the sole recipient in 2012. AddThis Sharing Sidebar Share to Facebook Facebook , Number of shares Share to Twitter Twitter Share to Print Print Share to Email Email More AddThis Share options AddThis , Number of shares Hide Show Close AddThis diff --git a/src/data/compiled_bios/319.txt b/src/data/compiled_bios/319.txt new file mode 100644 index 0000000000..7cd8ebc7b4 --- /dev/null +++ b/src/data/compiled_bios/319.txt @@ -0,0 +1 @@ +Name: Alagar, Sridhar:: Position: Senior Lecturer:: Degrees: Ph.D. in Computer Science, University of Texas at Dallas, Richardson, Texas.; B.S. in Computer Science, Indian Institute of Science, Bangalore, India; B.Sc. in Physics, Madurai Kamaraj University, Madurai, India; Research Interests: Distributed Systems; Networks; Data Structures, Algorithms, and Programming; Major Honors and Awards: Method and system for bi-directional path switched network (with co-inventors), United States Patent 7046619, May 16, 2006; Telecommunications network distributed restoration method and system (with co-inventors), United States Patent 6512740, January 28, 2003.; Telecommunications network distributed restoration method and system (with co-inventors), United States Patent 6507561, January 14, 2003.; System and method for restricted reuse of intact portions of failed paths (with co-inventors), United States Patent 6496476, December 17, 2002; Method of coordinating the respective operations of different restoration processes (with co-inventors), United States Patent 6456589, September 24, 2002; RepresentativePublications: Techniques to Tackle State Explosion in Global Predicate Detection (with S. Venkatesan), IEEE Transactions on Software Engineering (TSE), Volume 27, Number 8 August 2001, pp 704714.; An Optimal Quasi-Path Restoration in Backbone Networks (with V. Jain, S. Baig, and S. Venkatesan), Proceedings of Thirteenth International Conference on Systems Engineering (ICSEng), Las Vegas, August 1999; Dynamic Sub-Second Restoration in WDM Networks (with R. Jaganathan, F. Masetti, and M. Garnot), IEEE Lasers and Electro-Optics Society (LEOS), July 1998; Centralized vs Distributed Restoration (with R. Jaganathan, F. Masetti, M. Garnot, and S. Venkatesan), Society of Photo-Optical Instrumentation Engineers (SPIE)., November 1998.; Causal Ordering in Distributed Mobile Systems (with S. Venkatesan), IEEE Transactions on Computers (TC), March 1997.; Crash Recovery without Changing Application Messages (with S. Venkatesan and T.Y. Juang), IEEE Transactions on Parallel and Distributed Systems (TPDS), March 1997.; diff --git a/src/data/compiled_bios/3190.txt b/src/data/compiled_bios/3190.txt new file mode 100644 index 0000000000..f238d45fb6 --- /dev/null +++ b/src/data/compiled_bios/3190.txt @@ -0,0 +1 @@ + Toggle navigation Julia Kempe Home About Contact Julia Kempe Professor Courant Institute, NYU Biography I am a Professor of Computer Science, Mathematics and Data Science. Currently, I am the Director of NYU's Center for Data Science . Please see my CV for more details. Interests Data Science Machine Learning Quantum Computing Education PhD in Mathematics, 2001 UC Berkeley PhD in Computer Science, 2001 cole Nationale Suprieure des Tlcommunications, Paris, France Masters in Theoretical Physics, 1997 cole Normale Suprieure, Paris, France Masters in Mathematics, 1996 University of Paris 6, Paris, France About A few older writings about my research: Science CNRS International Magazine French version Joliot-Curie Prize write-up from EADS Femme en Or (in French) And a more recent one from the World Science Festival Contact lastname@nyu.edu 2018 Powered by the Academic theme for Hugo . Cite Copy Download diff --git a/src/data/compiled_bios/3191.txt b/src/data/compiled_bios/3191.txt new file mode 100644 index 0000000000..188d6d111a --- /dev/null +++ b/src/data/compiled_bios/3191.txt @@ -0,0 +1 @@ + Subhash Khot Silver Professor Computer Science Department Courant Institute of Mathematical Sciences New York University New York, NY-10012 [ Contact ] [ Publications ] I am a Professor in the Computer Science Department at New York University, part of the Courant Institute of Mathematical Sciences. Previous affiliations: 1999-2003: PhD at Princeton CS Department under the supervision of Prof. Sanjeev Arora . 2003-2004: Member of School of Mathematics , IAS. 2004-2007: Assistant Professor at the College of Computing at Georgia Tech. 2007-2011: Associate Professor at NYU. 2011-2013: Visiting faculty at U.Chicago with the theory group. Teaching: NYU: Fall 18: CSCI-GA.3520-001 Honors Analysis of Algorithms Fall 17: CSCI-GA.3520-001 Honors Analysis of Algorithms Fall 16: CSCI-GA.3520-001 Honors Analysis of Algorithms Fall 14: CSCI-GA.3520-001 Honors Analysis of Algorithms Spring 14: CSCI-GA.3350-001 Theory of Computation (Honors ) , aka, Computational Complexity Fall 13: CSCI-UA.0453-001 Theory of Computation UChicago : Winter 13: Topics in TCS (PCPs and Hardness of Approximation) Autumn 12: Discrete Mathematics Spring 12: Complexity Theory A Autumn 11: Discrete Mathematics NYU: Spring 11: G22.3033-005 Special Topics in Algorithms Fall 10: V22.0453-001 Honors Theory of Computation Spring 10: G22.3350-001 Computational Complexity Fall 09: G22.3520-001 Honors Analysis of Algorithms Spring 09: G22.3033-002 Computational Complexity Fall 08: G22.3520-001 Honors Analysis of Algorithms Spring 08: G22.3033-007 PCPs and Hardness of Approximation Georgia Tech: Fall'04 : PCPs and Hardness of Approximation Spring'05 : CS 6520: Computational Complexity Spring'05 : Algorithmic Theory of Metric Embeddings Spring'06 : Analysis of Boolean Functions Spring'06:CS 4510: Theory of Computation Fall'06: CS 1050A: Constructing Proofs Spring'07 : CS 6520 : Computational Complexity diff --git a/src/data/compiled_bios/3192.txt b/src/data/compiled_bios/3192.txt new file mode 100644 index 0000000000..28c1a2393e --- /dev/null +++ b/src/data/compiled_bios/3192.txt @@ -0,0 +1 @@ + Joanna Klukowska Home Research Teaching Resources "Everything should be made as simple as possible, but not one bit simpler." -- Einstein (attributed). Clinical Assistant Professor Computer Science Department , Courant Institute of Mathematical Sciences, New York University Warren Weaver Hall, Room 423 251 Mercer Street New York, NY 10012 (212) 998 3146 joannakl@cs.nyu.edu I am a Clinical Assistant Professor of Computer Science at the Courant Institute of Mathematical Sciences at New York University. I teach several undergraduate classes in the department (see the Teaching link for more details). My current reasearch interest include: 1) teaching open source priciples at all levels of computer science undergraduate curriculum, 2) involving students in humanitarian free open source software, 3) computer science pedagody. I defended my doctoral thesis titled Theoretical Methods for Blur-Correction in Electron and Soft X-ray Microscopy in 2013. My PhD adviser was Dr. Gabor T. Herman . Education Ph.D., Computer Science, Graduate Center of CUNY , September 2013 B.A., Computer Science, Hunter College of CUNY , 2005 Experience Clinical Assistant Professor, Computer Science Department, CIMS, NYU, Sept. 2014 - present Adjunct Assistant Professor, Computer Science Department, CIMS, NYU, Sept. 2013 - May 2014 Visiting Scholar, Discrete Imaging and Graphics Group Computer Science Department, The Graduate Center, CUNY, October 2013 - present Research Assistant,Discrete Imaging and Graphics Group, Computer Science Department, The Graduate Center, CUNY, adviser: Dr. Gabor T. Herman, 2007 - 2013 Adjunct Lecturer, Computer Science Department, Hunter College, CUNY, 2005-2006 and 2009-2011, Service Reviewer of conference papers, presentation proposals and panel proposals (SIGCSE, GHC). Reviewer of several peer-reviewed journal publications, book chapters and books. Member of the Undergraduate Curriculum Committee. Presenter at workshops intended for high school students to learn more about computer science. CS Department Courant Institute NYU Joanna Klukowska joanna.klukowska@acm.org diff --git a/src/data/compiled_bios/3193.txt b/src/data/compiled_bios/3193.txt new file mode 100644 index 0000000000..484e87a88b --- /dev/null +++ b/src/data/compiled_bios/3193.txt @@ -0,0 +1 @@ + About Courses Clinical Professor Department of Computer Science Courant Institute of Mathematical Sciences 251 Mercer Street, Room 319 New York, New York 10012 Tel: 212-998-3301 Fax: 212-995-4124 Email: NEW YORK UNIVERSITY, Courant Institute of Mathematical Sciences Faculty Liaison for Technology Entrepreneurship Clinical Professor, September 2013 - Present Clinical Associate Professor, September 2008 - August 2013 Clinical Assistant Professor, January 2003 - August 2008 Adjunct Instructor, September 1999 - December 2002 Co-founder of hackNY , Coach of NYU International Collegiate Programming Contest Team , Faculty Advisor to NYU chapter of Association for Computing Machinery (ACM) , Faculty Advisor to tech@NYU , Founder/Author of Musicomputation , Inaugural member of Computer Science Mentor Program , Developed and designed curriculum for the class Computers and Society Committees: Undergraduate Curriculum Graduate Curriculum Minor Program Masters Oversight Committee Masters Oversight Committee for Information Systems (MSIS program) diff --git a/src/data/compiled_bios/3194.txt b/src/data/compiled_bios/3194.txt new file mode 100644 index 0000000000..b4beb9a265 --- /dev/null +++ b/src/data/compiled_bios/3194.txt @@ -0,0 +1 @@ + HOME BLOG/NEWS BIO PUBLICATIONS arXiv Papers G-Scholar Profile SOFTWARE CBLL RESEARCH TEACHING WHAT's NEW DjVu LENET MNIST OCR DATA NORB DATASET MUSIC PHOTOS HOBBIES FUN STUFF LINKS CILVR CDS CS Dept Courant NYU Websites that I maintain Welcome to Yann's home page. Blog/News (Google+ Stream) Contact Information Yann LeCun , Director of AI Research, Facebook Founding Director of the NYU Center for Data Science Silver Professor of Computer Science , Neural Science , and Electrical and Computer Engineering , The Courant Institute of Mathematical Sciences , Center for Neural Science , and Electrical and Computer Engineering Department, NYU School of Engineering New York University . Room 1220, 715 Broadway, New York, NY 10003, USA. (212)998-3283 yann [ a t ] cs.nyu.edu yann [ a t ] fb.com Administrative aide: Hong Tam (212)998-3374 hongtam [ a t ] cs.nyu.edu Note: the best way to reach me is by email or through Hong (I don't check my voicemail very often). My main research interests are Machine Learning, Computer Vision, Mobile Robotics, and Computational Neuroscience. I am also interested in Data Compression, Digital Libraries, the Physics of Computation, and all the applications of machine learning (Vision, Speech, Language, Document understanding, Data Mining, Bioinformatics). News and Updates Blog posts, news and updates on Google+ . 2013-10-16: announcing the 2014 International Conference on Learning Representations : a conference about deep learning, feature learning, compositional hierarhcical models, etc. It uses an open reviewing process similar to what I advocate in this pamphlet . Quick Links Google+ Posts/Blog . Center for Data Science , and the NYU Data Science Portal . Short bio : if you want to know more about me. Computational and Biological Learning Lab , my research group at the Courant Institute, NYU. CILVR Lab: Computational Intelligence, Vision Robotics Lab : a 20-person lab consisting of my colleagues Rob Fergus, Savid Sontag and me, together with our students and postdocs. VLG: The Vision-Learning-Graphics Group consisting of the CILVR Lab, plus our colleagues in computer graphics, movement analysis, and human-computer interfaces. Research : descriptions of my projects and contributions, past and present. Publications : (almost) all of my publications, available in PDF and DjVu formats. Google Scholar Profile : all my publications with number of citations, harvested by Google. Preprints on ArXiv.org : where you will find our latest results, before they may receive a stamp of approval. Computational and Biological Learning Lab My lab at the Courant Institute of New york University is called the Computational and Biological Learning Lab . It is part of VLG: the Vision-Learning-Graphics Group , an informal group of researcher interested in pixels (in analyzing them or in producing them). See research projects descriptions , lab member pages, events, demos, datasets... We are working on a class of learning systems called Energy-Based Models , and Deep Belief Networks . We are also working on convolutional nets for visual recognition , and a type of graphical models known as factor graphs. We have projects in computer vision, object detection, object recognition, mobile robotics, bio-informatics, biological image analysis, medical signal processing, signal processing, and financial prediction,.... Teaching Jump to my course page at NYU , and see course descriptions, slides, course material... Talks and Tutorials See, watch and hear talks and tutorial . Pamphlets and opinions Proposal for a new publishing model in Computer Science Many computer Science researchers are complaining that our emphasis on highly selective conference publications, and our double-blind reviewing system stifles innovation and slow the rate of progress of Science and technology. This pamphlet proposes a new publishing model based on an open repository and open (but anonymous) reviews which creates a "market" between papers and reviewing entities. MORE INFORMATION >>>>> Deep Learning Animals and humans can learn to see, perceive, act, and communicate with an efficiency that no Machine Learning method can approach. The brains of humans and animals are "deep", in the sense that each action is the result of a long chain of synaptic communications (many layers of processing). We are currently researching efficient learning algorithms for such "deep architectures". We are currently concentrating on unsupervised learning algorithms that can be used to produce deep hierarchies of features for visual recognition. We surmise that understanding deep learning will not only enable us to build more intelligent machines, but will also help us understand human intelligence and the mechanisms of human learning. MORE INFORMATION >>>>> . Relational Regression We are developing a new type of relational graphical models that can be applied to "structured regression problem". A prime example of structured regression problem is the prediction of house prices. The price of a house depends not only on the characteristics of the house, but also of the prices of similar houses in the neighborhood, or perhaps on hidden features of the neighborhood that influence them. Our relational regression model infers a hidden "desirability sruface" from which house prices are predicted. MORE INFORMATION >>>>> . Mobile Robotics The purpose of the LAGR project , funded by the US government, is to design vision and learning algorithms to allow mobile robots to navigate in complex outdoors environment solely from camera input. My Lab , collaboration with Net-Scale Technologies is one of 8 participants in the program (Applied Perception Inc., Georgia Tech, JPL, NIST, NYU/Net-Scale, SRI, U. Penn, Stanford). Each LAGR team received identical copies of the LAGR robot , built be the CMU/NREC . The government periodically runs competitions between the teams. The software from each team is loaded and run by the goverment team on their robot. The robot is given the GPS coordinates of a goal to which it must drive as fast as possible. The terrain is unknown in advance. The robot is run three times through the test course. The software can use the knowledge acquired during the early runs to improve the performance on the latter runs. CLICK HERE FOR MORE INFORMATION, VIDEOS, PICTURES >>>>> . Prior to the LAGR project, we worked on the DAVE project , an attempt to train a small mobile robot to drive autonomously in off-road environments by looking over the shoulder of a human operator. CLICK HERE FOR INFORMATION ON THE DAVE PROJECT >>>>> . Energy-Based Models Energy-Based Models (EBMs) capture dependencies between variables by associating a scalar energy to each configuration of the variables. Inference consists in clamping the value of observed variables and finding configurations of the remaining variables that minimize the energy. Learning consists in finding an energy function in which observed configurations of the variables are given lower energies than unobserved ones. The EBM approach provides a common theoretical framework for many learning models, including traditional discriminative and generative approaches, as well as graph-transformer networks, conditional random fields, maximum margin Markov networks, and several manifold learning methods. Probabilistic models must be properly normalized, which sometimes requires evaluating intractable integrals over the space of all possible variable configurations. Since EBMs have no requirement for proper normalization, this problem is naturally circumvented. EBMs can be viewed as a form of non-probabilistic factor graphs, and they provide considerably more flexibility in the design of architectures and training criteria than probabilistic approaches. CLICK HERE FOR MORE INFORMATION, PICTURES, PAPERS >>>>> . Invariant Object Recognition The recognition of generic object categories with invariance to pose, lighting, diverse backgrounds, and the presence of clutter is one of the major challenges of Computer Vision. I am developing learning systems that can recognize generic object purely from their shape, independently of pose and lighting. See The NORB dataset for generic object recognition is available for download . CLICK HERE FOR MORE INFORMATION, PICTURES, PAPERS >>>>> . Lush: A Programming Language for Research Tired of Matlab? Lush is an easy-to-learn, open-source object-oriented programming language designed for researchers, experimenters, and engineers working in large-scale numerical and graphic applications . Lush combines three languages in one: a very simple to use, loosely-typed interpreted language, a strongly-typed compiled language with the same syntax, and the C language, which can be freely mixed with the other languages within a single source file, and even within a single function. Lush has a library of over 14,000 functions and classes, some of which are simple interfaces to popular libraries: vector/matrix/tensor algebra, linear algebra (LAPACK, BLAS), numerical function (GSL), 2D and 3D graphics (X, SDL, OpenGL, OpenRM, PostScipt), image processing, computer vision (OpenCV), machine learning (gblearning, Torch), regular expressions, audio processing (ALSA), and video grabbing (Video4linux). If you do research and development in signal processing, image processing, machine learning, computer vision, bio-informatics, data mining, statistics, or artificial intelligence , and feel limited by Matlab and other existing tools, Lush is for you. If you want a simple environment to experiment with graphics, video, and sound , Lush is for you. Lush is Free Software (GPL) and runs under GNU/Linux, Solaris, and Irix. VISIT THE LUSH HOME PAGE >>>> DjVu: The Document Format for Digital Libraries My main research topic until I left AT&T was the DjVu project. DjVu is a document format, a set of compression methods and a software platform for distributing scanned and digitally produced documents on the Web. DjVu image files of scanned documents are typically 3-8 times smaller than PDF or TIFF-groupIV for bitonal and 5-10 times smaller than PDF or JPEG for color (at 300 DPI). DjVu versions of digitally produced documents are more compact and render much faster than the PDF or PostScript versions. Hundreds of websites around the world are using DjVu for Web-based and CDROM-based document repositories and digital libraries. Yann's DjVu page : a description of DjVu, and a set of useful links. Technical talk on DjVu : watch a streaming video of Yann's Distinguished Lecture at the University of Illinois at Urbana-Champaign, October 22 2001. (100K Windows Streaming Media) . (56K Windows Streaming Media) , DjVuZone.org : samples, demos, technical information, papers, and tutorials on DjVu.... DjVuZone hosts several digital libraries, including NIPS Online . DjVuLibre for Unix : free/open-source browser plug-ins, viewers, utilites, and libraries for Unix. Commercial DjVu Software : free plug-ins for Windows and Mac, free and commercial applications for Windows and some Unix platforms (hosted at LizardTech , the company that distributes and supports DjVu under license from AT&T). Any2DjVu and Bib2Web : Upload your documents and get them converted to DjVu. Bib2Web automates the creation of publication pages for researchers. Learning and Visual Perception My main research interest is machine learning, particularly how it applies to perception, and more particularly to visual perception. I am currently working on two architectures for gradient-based perceptual learning: graph transformer networks and convolutional networks. Convolutional Nets are a special kind of neural net architecture designed to recognize images directly from pixel data. Convolutional Nets can be trained to detect, segment and recognize objects with excellent robustness to noise, and variations of position, scale, angle, and shape. Have a look at the animated demonstrations of LeNet-5 , a Convolutional Nets trained to recognize handwritten digit strings. Convolutional nets and graph transformer networks are embedded in several high speed scanners used by banks to read checks. A system I helped develop reads an estimated 10 percent of all the checks written in the US . Check out this page , and/or read this paper to learn more about Convolutional Nets and graph transformer networks. MNIST Handwritten Digit Database The MNIST database contains 60,000 training samples and 10,000 test samples of size-normalized handwritten digits. This database was derived from the original NIST databases. MNIST is widely used by researchers as a benchmark for testing pattern recognition methods, and by students for class projects in pattern recognition, machine learning, and statistics. Music and Hobbies I have several interests beside my family (my wife and three sons) and my research: Playing Music : particularly Jazz, Renaissance and Baroque music. A few MP3 and MIDI files of Renaissance music are available here . Building and flying miniature flying contraptions : preferably battery powered, radio controled, and unconventional in their design. Building robots: particularly Lego robots (before the days of the Lego Mindstorms) Hacking various computing equipment: I have owned 5 computers between 1978 and 1992: SYM-1, OSI C2-4P, Commodore 64, Amiga 1000, Amiga 4000. then I lost interest in personal computing when the only thing you could get was a boring Wintel box. Then, Linux appeared and I came back to life..... Sailing: I own two sport catamarans, a Nacra 5.8 and a Prindle 19. I also sail and race larger boats with friends. Graphic Design: I designed the DjVu logo and much of the AT&T DjVu web site. Reading European comics. Comics in certain European countries (France, Belgium, Italy, Spain) are considered a true art form ("le 8-ieme art"), and not just a business with products targeted at teenagers like on this side of the pond. Although I don't have a shred of evidence to support it, I claim to have the largest private collection of French-language comics in the Eastern US. making bad puns in French, but I don't have much of an audience this side of the pond. Sipping wine, particularly red, particularly French, particularly Bordeaux, particularly Saint-Julien. Bib2Web: Automatic Creation of Publication Pages No deep science here, but if you are looking for a simple/automatic way to make all your publications (digital or paper-based) available on your web page, visit Bib2Web . Photos Galleries Photos taken at various conferences, workshops, trade shows and other professional events . Includes pictures from CVPR, NIPS, Learning@Snowbird, ICDAR, CIFED, etc. A photo and movie gallery of various radio-controled airplanes , other miniature flying objects, lego robots, and other techno toys. Check out also my model airplane page . Miscellaneous artsy and nature picture , including garden-variety wild animals, landscapes, etc. Vintage airplanes at the national air and space museum in Le Bourget, near Paris. Fun Stuff No, Yann is NOT Philippe Kahn's evil brother Your Name can't possibly be pronounced that way : or how a Nobel prize winner tried to tell me how to pronounce my own name. Who is Tex Avery anyway? Steep Learning Curves and other erroneous metaphores Vladimir Vapnik meets the video game sub-culture Cheap Philosophy (42 cents) A Mathematical Theory of Empty Disclaimers The Axis of Rivals Previous Life My former group at AT&T (the Image Processing Research Department) and its ancestor (Larry Jackel's Adaptive Systems Research Department) made numerous contributions to Machine Learning, Image Compression, Pattern Recognition, Synthetic Persons (talking heads), and Neural-Net Hardware. Specific contributions not mentioned elsewhere on this site include the ever so popular Support Vector Machine, the PlayMail and Virt2Elle synthetic talking heads, the Net32K and ANNA neural net chips, and many others. Visit my former group's home page for more details. Links Links to interesting places on the web, friends' home pages, etc . [HOME] [NEWS] [PUBLICATIONS] [RESEARCH] [DOWNLOADS] [LENET] [MUSIC] [PHOTOS] [HOBBIES] [FUN] [LINKS] Yann LeCun , Professor The Courant Institute of Mathematical Sciences Room 1221, 715 Broadway, New York, NY 10012, USA tel: (212)998-3283 Copyright 2000-2004 Yann LeCun. Yann LeCun, Le Cun, LeNet, DjVu, convolutional neural networks, machine learning, computer vision, pattern recognition, document imaging, image compression, digital libraries, diff --git a/src/data/compiled_bios/3195.txt b/src/data/compiled_bios/3195.txt new file mode 100644 index 0000000000..76588756d6 --- /dev/null +++ b/src/data/compiled_bios/3195.txt @@ -0,0 +1 @@ + Jinyang Li Professor Department of Computer Science Courant Institue of Mathmatical Sciences 60 5th Ave New York, NY 10011 Contact: firstname at cs nyu edu [ Home | Publications | Teaching | CV ] Recent software release: Spartan is a distributed NumPy system for programming array computation. Janus is a geo-replicated transactional key-value store. Its commit protocol can achieve serializability and fault-tolerance using a single RTT. The goal of my research is to build easy-to-use and high-performance distributed infrastructure to simplify application development. We live in an era with unprecedented amounts of data. Popular web applications store the data of billions of users and process these data offline to gather business insights. The increasing deployment of networked sensors, cameras, monitors, and devices also generate massive amounts of data. How to store such vast amounts of data efficiently and reliably across many machines? How to let applications query and update distributed data safely and quickly in the face of concurrency and failure? How to run state-of-the-art algorithms to analyze data at scale so that we can make sense of the collected data in real time? These are the principal questions that my research group aims to address. I work with a group of talented students in the NYU systems group . I am organizing HotOS 2019 with Ding Yuan . I am teaching undergraduate-level Computer Systems Organization in Spring 2019. Current Projects Spartan , a system for programming with distributed arrays (aka distributed NumPy). Janus , RoCoCo and IC3 can commit transactions in a distributed or multicore setting more efficiently and minimize aborts. Pilaf and Cell are two super-fast in-memory storage systems based on RDMA. Some older projects: Piccolo , a programming paradigm for writing distributed in-memory computations. SumUp , Sybil-resilient content voting. WheelFS , a wide-area file system. diff --git a/src/data/compiled_bios/3196.txt b/src/data/compiled_bios/3196.txt new file mode 100644 index 0000000000..9192712adf --- /dev/null +++ b/src/data/compiled_bios/3196.txt @@ -0,0 +1 @@ + Suzanne McIntosh Home Research Interests Publications Teaching CV Home CV External Recognition Publications Research Interests Teaching Sitemap Home Suz anne McIntosh Clinical Associate Professor NYU Courant Institute of Mathematical Sciences Comp uter Sc ie nce Department Affiliated Professor, NYU Center for Data Science Email: mcintosh [AT] cs.nyu.edu Suzanne's LinkedIn Profile Biography Suzanne McIntosh is a Clinical Associate Professor at New York University Courant Institute of Mathematical Sciences, and is affiliated with NYU Center for Data Science. Most recently, she was a technology consultant with Cloudera, and previously worked at IBM T. J. Watson Research Center where she led cross-disciplinary research teams in virtualization, data center energy optimization, and security research. Prior to IBM Research, Suzanne developed software for mobile base stations at Lucent, and firmware for GPS satellites and secure battlefield communications for US DoD, UK MoD, and NATO forces. After earning B.S. and M.S. degrees in Computer Science, Suzanne graduated with an Engineer Degree in Computer Engineering from Stevens Institute of Technology in 2000. Her advisor was Dr. Stuart K. Tewksbury , Chair of the Computer Science Department at Stevens. She is an inventor with patents in security and virtualization technologies for which her teams were awarded two IBM Research Invention Plateau awards and three IBM Research Technical Accomplishment Awards. Suzanne is a Senior Member of IEEE and ACM, has chaired the IEEE-NY Computer Society, and is currently VP of Society of Women Engineers-NY. Suzanne serves on the ABET board and was recently appointed to the ABET Global Council . She is a STEM mentor active with the Society of Women Engineers (SWE) and New York Academy of Sciences (NYAS). At NYU... Courant Institute of Mathematical Sciences Positions Clinical Associate Professor, January 2017 - Present Visiting Professor, January 2017 - September 2017 Adjunct Professor, September 2013 - January 2017 Tandon School of Engineering Positions Adjunct Professor, September 2014 - January 2017 Graduate Curricula Developed Realtime and Big Data Analytics (Apache Hadoop ecosystem) Programming for Big Data Analytics (Apache Hadoop ecosystem) Big Data Application Development (Apache Spark ecosystem) Contributor, Huston-Tillotson University Big Data analytics and Machine Learning curricula through the NYU Scholar-in-Residence program. Introduction to Cognitive Systems (in progress, collaboration with FatBrain) Undergraduate Curricula Developed: Processing Big Data for Analytics Applications Exploratory Teams for New Academic Programs: Joint Computer Science and Data Science Program Data Science Major Program Data Science Minor Program Awards Best Adjunct Professor Award - NYU Tandon School of Engineering (2016) Honors Honored to be nominated for NYU Courant Samuel L. Marateck Prize for Outstanding Teaching in Computer Science (2018) Working with Students Advisor - NYU Courant MS Innovation Fellowship Winners (2014-2018) Library Usage Analytics by P. Boppana ApartmentGrid, a Big Data tool for finding the ideal apartment by Y. Feng, O. Solmazer, V. Kamath SimpleMR, a tool in support of medical research by D. Levy Campus movement patterns and building utilization analytic using connection WAP connection logs by K. Nobahar Advisor - Student Independent Research Projects Weather Data Characterization Tools, presented at NSF-sponsored Data Science Workshop , Seattle, WA by I. Rajendrababu and S. Sridhar (NYU Tandon) ( https://semanticommunity.info/Data_Science/NSF_Data_Science_Workshop_2015 and https://issuu.com/spark451/docs/cse_newsletter_2015 ) Vulnerability Trend Analytics: A bug hunters perspective by V. Nallanichakravartula(NYU Tandon) Crime category prediction using San Francisco crime data by I. Rajendrababu and S. Sridhar (NYU Tandon) RosyRecommends: Collaborative Filter Analysis of Listening Behavior with User Similarity Metrics based on Timbral Clusters by A. Joi and J. Hsu (Published at Women in Computing and Informatics) Selected Co-author/Advisor - Student Publications (refereed) A Relationship Between Fines and Violent Crimes. S Smith, K Gangopadhyay, SS Gill, S McIntosh. 2018 IEEE Fourth International Conference on Big Data Service, 2018. Analyzing Cross-domain Transportation Big Data of New York City with Semi-supervised and Active Learning.H Sun, S McIntosh, S Zhou, W Liang, J Li, JU Kim, R Wang, M Shen, Y Li, et al. CMC, 2018. Identifying materials of photographic images and photorealistic computer generated graphics based on deep CNNs. Q Cui, HY Sun, S McIntosh. CMC, 2018. Big Data Trip Classification on the New York City Taxi and Uber Sensor Network. H Sun, S Hu, S McIntosh, Y Cao. Journal of Internet Technology, 2018. Preliminary performance analysis of Hadoop 3.0. 0-alpha3. RG Masur, SK Mcintosh. Scientific Data Summit (NYSDS), New York, 2017. Detection of in-progress phone calls using smartphone proximity and orientation sensors. H Sun, S McIntosh, B Li. International Journal of Sensor Networks 25 (2), 2017. Phone Call Detection Based on Smartphone Sensor Data; Real-time Detection of In-Progress Phone Calls Using Smartphone Proximity and Orientation Sensors. H Sun, S McIntosh. International Conference on Cloud Computing and Security, 2016. Big Data Mobile Services for New York City Taxi Riders and Drivers. SMI Huiyu Sun. IEEE Mobile Services 2016 - Mobile Services Visionary Track, IOT Services, 2016. RosyRecommends: Collaborative Filter Analysis of Listening Behavior with User Similarity Metrics based on Timbral Clusters. A. Joi and J. Hsu. Women in Computing and Informatics, 2015. Organizer: Graduate Student Technical Talk on Social Graphs by S. Smith (MS, NYU Courant) et al, Enigma, 26-Sep-2018. Organizer: Graduate Student Technical Talk on Apache HBase By I. Rajendrababu (MS, NYU Tandon), IBM Watson, 8-Nov-2018. Service to the NYU Community Panelist, NYU Women in Computer Science Research (2018) Women In Science (WINS) Selection Committee (2018-2019 academic year) Volunteer, NYU WinC (Women in Computing): NYC Girls Science and Engineering Conference , co-hosted with Princeton University (2018) Mentor, Scholar-In-Residence Program - scholar from Huston-Tillotson University . (2017) Awards for Scientific Papers IEEEInternational Conference on Autonomic Computing 2011, Best Paper Award: Towards Data Center Self-Diagnosis Using a Mobile Robot NYU Recognition Best Adjunct Professor (2016) - NYU Tandon School of Engineering - Computer Science Service to the Scientific Community ABET Global Council (2019-2021) ABET Board Delegate for Society of Women Engineers (SWE) (2017-2019) IEEE-New York Computer Society Chair (2017-2018) Awards for Research IBM Research: Invention Plateau Awards (2012, 2013) IBM Research: Technical Accomplishment Award, Green Computing Analytics (2013) IBM Research: Technical Accomplishment Award, Virtualization Security (2011) IBM Research: Technical Accomplishment Award, Caernarvon High Assurance OS (2008) Awards for Women in STEM Tribute to Women of Influence Award (1999) The Tribute to Women of Influence is a prestigious annual award to honor women of achievement who have excelled in their fields and made significant contributions to their organizations and to their communities. External Activities ... Awards International Conference on Autonomic Computing (ICAC), Best Paper Award: Towards Data Center Self-Diagnosis Using a Mobile Robot Tribute to Women of Influence Award Society of Women Engineers (SWE) NJIT Mentor Award Cloudera: Technical Teamwork Award ITT Corporate Achievement Awards and Awards for Excellence IBM Watson Research Invention Plateau Award II Green Computing Analytics Invention Plateau Award I Virtualization Security Caernarvon High Assurance OS Honors Invited Speaker, Google GHC Connect (2018) Invited Speaker, International Women's Day - IAC Apps, Inc. (2018) Chair, IEEE-NY Computer Society ABET Board (2017-2019) ABET Global Council (2019-2021) Guest Editor, IEEE Transactions on Services Computing Big Data Issue ACM Senior Member elevation IEEE Senior Member elevation White House - OSTP Public-Private Open Data Collaboration Roundtable (by invitation, 2016) White House - OSTP Roundtable on Open Data Quality (by invitation, 2016) Conference Leadership (by invitation) 2019 Program Committee (PC) Co-Chair, Supercomputing (SC19) - Data Analytics, Visualization, and Storage General Chair, SC19 PDSW-DISCS Steering Committee, SC19 PDSW-DISCS PC Chair, ICAIS 2019 - International Conference on Artificial Intelligence and Security 2018 PC Co-Chair, SC18 PDSW-DISCS Panels Chair,Annual Computer Applications Security Conference (ACSAC) Service to the Computer Science Community Board, ACM SIGHPC - Special Interest Group on High Performance Computing Founder and Member-At-Large - ACM SIGHPC-Big Data Vice President, Society of Women Engineers (SWE-NY) FIRST Robotics NY Regional Competition, SWE Representative (2017-2019) Program Committee Member Supercomputing: SC14-SC19 - DAVS (2014-2017, Chair 2019) ACM SIGKDD Knowledge, Discovery, and Data Mining: KDD (2018 and 2019) Grace Hopper Celebration: GHC - Technical Program Committee for Data Science (2019, 2018) Grace Hopper Celebration: GHC - Technical Program Committee for Computer Systems Engineering (2019, 2018) Supercomputing Asia: SCA (2018, 2019) IEEE Big Data Service: BDS (2018, 2019) International Supercomputing Conference: ISC (2019) Cloud Computing Grid: CCGRID (2019) MIT Undergraduate Research Technology Conference (2018) IEEE CloudCom (2014-2018) IEEE International Workshop on High-Performance Big Data and Cloud Computing (2019) International Parallel & Distributed Processing Symposium: IPDPS (2016) CLOUD (2017) Manuscript Reviewer ACM Transactions on Modeling and Performance Evaluation of Computing Systems (2019) Architecting HBase Applications by Kevin O'Dell and Jean-Marc Spaggiari. Publisher: O'Reilly HBase: The Definitive Guide by Lars George. Publisher: O'Reilly IEEE Transactions on Parallel and Distributed Systems IEEE Transactions on Computers IEEE Transactions on Services Computing PhD Committee Member Doctoral Dissertation: Towards an Efficient Collaborative Place Recognition Framework by Juan Pablo Muoz, City University of New York,Department of Computer Science, September 2017. Grants Grants: Amazon AWS in Education Grants for Big Data analytics courses Fellowship and Scholarship Selection Committees ACM SIGHPC / Intel Computational and Data Science Fellowship ACM SIGHPC Scholarships Anita Borg Institute, Grace Hopper Celebration (GHC) Press - 5 Minutes with Suzanne McIntosh - New Research Reveals Societal Consequences of Excessive Policing - International Women's Day: PatentExtraordinaireand Super Woman Technologist - Call me, maybe: a new algorithm detects call activity using smartphone sensors Sign in | Recent Site Activity | Report Abuse | Print Page | Powered By Google Sites diff --git a/src/data/compiled_bios/3197.txt b/src/data/compiled_bios/3197.txt new file mode 100644 index 0000000000..638fd6f1cd --- /dev/null +++ b/src/data/compiled_bios/3197.txt @@ -0,0 +1 @@ + Adam Meyers Clinical Associate Professor Computer Science Department 60 Fifth Avenue, Room 301 New York, NY, 10011, USA Phone: (212)998-3482 Fax: (212)998-4123 Background B.A. in Literature. May, 1984. State University of New York at Purchase. M.A. in Linguistics. May, 1989. New York University. Ph.D. in Linguistics. May, 1994. New York University. Dissertation: A Unification-based Approach to GB Theory Research Interests Computational Lexicography ( Comlex Syntax , Nomlex ) Predicate Argument Structure ( GLARF , NomBank ) Machine Translation and Sentence Alignment Corpus Annotation: NomBank , 2006 Annotation Compatibility Working Group, 2011 Content of Linguistic Annotation: Standards and Practices (CLASP) repor t Teaching Computer Scienceto Pre-college Students ( musicomputation ) Information Extraction for Technical Documents The Termolator : a terminology detection tool Resources and Software (Released Under Apache 2.0 unless otherwise specified) Dictionaries and Annotated Corpora Comlex Syntax, a syntactic dictionary (Not Apache: distributed by the Linguistic Data Consortium under an LDC license) Our Website for Comlex Syntax LDC's Website Comlex Syntax Nomlex (a dictionary linking noun and verb argument structure) NomBank (annotation and dictionaries relating to noun argument structure) Software GLARF (a semantic parser) The Termolator (a terminology extraction program) Graduate and Undergraduate Teaching Clinical Associate Professor, Computer Science Department, New York University Introduction to Computers and Programming (Undergraduate) Special Topics: Natural Language Processing (Undergraduate) Natural Language Processing (Graduate) Spring 2019 ( current semester ) CSCI-UA.0002-004 and 009 CSCI-UA.0480-00 9 Fall 2018 CSCI-UA.0002-007 and 011 CSCI-UA.0480-006 Spring 2018 CSCI-UA.0002-004 and 009 CSCI-UA.0480-009 Fall 2017 CSCI-UA.0002-007 CSCI-UA.0002-011 CSCI-UA.0480-006 Spring 2017 CSCI-UA.0002-004 CSCI-UA.0002-009 CSCI-UA.0480-009 Fall 2016 CSCI-UA.0002-007 CSCI-UA.0002-011 CSCI-UA.0480-006 Spring 2016 CSCI-UA.0002-004 CSCI-UA.0002-009 CSCI-UA.0480-011 Fall 2015 CSCI-UA.0002-007 CSCI-UA.0002-011 CSCI-UA.0480-006 Spring 2012 CSCI-GA.2590-001 Summer 2011 V22.0002.001 Spring 2011 V22.0002.003 V22.0002.004 V22.0002.005 Fall 2010 V22.0002.004 V22.0002.005 V22.0002.006 Adjunct Professor, Linguistics Department, Montclair State University Fall 2014 Introduction to Computational Linguistics (Graduate and Undergraduate) APLN550 Adjunct Assistant Professor, Linguistics Department, New York University Fall 1995 and Spring 1996 Syntax Professional Service Secretary of ACL Special Interest Group for Annotation (SIGANN) Chair/Co-Chair of LAW I, II, III and IX in 2007, 2008, 2009 and 2015 in connection with SIGANN Co-Chair of the 2014 COLING Workshop on Synchronic and Diachronic Approaches to Analyzing Technical Language Frontiers in Corpus Annotation workshops from 2004-2006 Papers : Click Here Work Experience Clinical Associate Professor, Research Assistant Professor, Research Scientist, Computer Science Dept., NYU. 1993 to Present. Adjunct Professor. Linguistics Department. Montclair State University. Graduate. Natural Language Processing 2014. Adjunct Assistant Professor, Linguistics Dept., NYU. Graduate Syntax. 1995 and 1996. Supplemental Employee. IBM T.J. Watson Research Center. 1989-1990 (with Ezra Black) 1991-1992 (with David Johnson) Computational Linguistics Consultant for various organizations throughout the world Dissertations Advised Anabela Barreiro 2009 Ph.D. from Universidade do Porto Dissertation: Make it simple with paraphrases: automated paraphrasing for authoring aids and machine translation Curriculum Vita, Research Statement, Teaching Statement and Publication List (pdfs) Full Curriculum Vitae Short (1 Page) Vitae Research Statement Teaching Statement Publication List Download Papers in PDF format Go back to Member list diff --git a/src/data/compiled_bios/3198.txt b/src/data/compiled_bios/3198.txt new file mode 100644 index 0000000000..348b184589 --- /dev/null +++ b/src/data/compiled_bios/3198.txt @@ -0,0 +1 @@ + Home Courses Research Publications Serious Matters Software Group Bio Mehryar Mohri () Professor of Computer Science and Mathematics Courant Institute of Mathematical Sciences Address: 251 Mercer Street, Room 701 New York, NY 10012 E-mail: last_name @cs.nyu.edu Phone: +1 212 998-3200 Fax: +1 212 995-4122 Book (2nd edition) The second edition of our book Foundations of Machine Learning is now available and can be already ordered from the MIT Press web site. Please let me or other steering committee members of AALT (Association for Algorithmic Learning Theory) know if you have suggestions related to the conference on Algorithmic Learning Theory ( ALT ) and other related events. Courses and Tutorials [CSCI-GA.2566-001] Fall 2018 Foundations of Machine Learning . [CSCI-GA.3033-007] Spring 2018 Advanced Machine Learning . [CSCI-GA.3850-006] Spring 2018 Ph.D. Research Seminar - Machine Learning . diff --git a/src/data/compiled_bios/3199.txt b/src/data/compiled_bios/3199.txt new file mode 100644 index 0000000000..9fd4564d57 --- /dev/null +++ b/src/data/compiled_bios/3199.txt @@ -0,0 +1 @@ + Daniel B. Neill, Ph.D. Associate Professor of Computer Science and Public Service 1,2 Associate Professor of Urban Analytics 3 Director, Machine Learning for Good Laboratory New York University 1 Courant Institute of Mathematical Sciences, Department of Computer Science 2 Robert F. Wagner Graduate School of Public Service 3 Center for Urban Science and Progress, Tandon School of Engineering E-mail: firstname.lastname @ nyu.edu I am delighted to announce the formation of the new Machine Learning for Good Laboratory (ML4G Lab) at New York University! Please watch this space for links to our lab webpage (currently under construction) and position announcements. *** We are currently inviting applications for a two-year postdoctoral associate position in the ML4G Lab! Please apply for this position at this link , and the job description is also available here . In brief, we are looking for applicants with a strong record of interdisciplinary machine learning work, who have a passion both for developing novel machine learning methods and for applying these methods toward the public good. Applications should be received by February 28th for full consideration. *** Our lab is focused on development of novel machine learning methods for addressing critical urban problems and improving public health, safety, and security. The lab's five main research areas include: methodological advances for pattern detection and prediction; early event detection and situational awareness; causal inference (e.g., detecting natural experiments at scale); fairness and equity in algorithmic decision-making; and optimizing, deploying, and evaluating targeted interventions for good. Key application areas include public health and disease surveillance; crime prediction and prevention; opioid and overdose surveillance; fairness in criminal justice; allocation of city services; healthcare best practices; environmental health and prevention; and conflict and human rights. We are particularly interested in solving challenging urban problems where off-the-shelf machine learning methods are insufficient and new innovations are required. Very brief bio: I am an Associate Professor of Computer Science and Public Service at New York University's Courant Institute Department of Computer Science and Robert F. Wagner Graduate School of Public Service . I am also Associate Professor of Urban Analytics at NYU's Center for Urban Science and Progress and director of the Machine Learning for Good Lab. Previously, I was Associate Professor of Information Systems in the Heinz College at Carnegie Mellon University , where I was the H.J. Heinz III College Dean's Career Development Professor and Director of the Event and Pattern Detection Laboratory . I received my Ph.D. in Computer Science from CMU in 2006. Before that, I received my B.S.E. from Duke University , M.Phil. from Cambridge University , and M.S. from Carnegie Mellon. Slightly longer bio: Daniel B. Neill is Associate Professor of Computer Science and Public Service at NYUs Courant Institute Department of Computer Science and Robert F. Wagner Graduate School of Public Service, and Associate Professor of Urban Analytics at NYUs Center for Urban Science and Progress, where he directs the Machine Learning for Good (ML4G) Laboratory. He was previously a tenured faculty member at Carnegie Mellon Universitys Heinz College, where he was the Deans Career Development Professor, Associate Professor of Information Systems, and Director of the Event and Pattern Detection Laboratory. He received his M.Phil. from Cambridge University and his M.S. and Ph.D. in Computer Science from Carnegie Mellon University. Dr. Neills research focuses on developing new methods for machine learning and event detection in massive and complex datasets, with applications ranging from medicine and public health to law enforcement and urban analytics. He works closely with organizations including public health, police departments, hospitals, and city leaders to create and deploy data-driven tools and systems to improve the quality of public health, safety, and security, for example, through the early detection of disease outbreaks and through predicting and preventing hot-spots of violent crime. He is also the Associate Editor of four journals (IEEE Intelligent Systems, Decision Sciences, Security Informatics, and ACM Transactions on Management Information Systems). He was the recipient of an NSF CAREER award and an NSF Graduate Research Fellowship, and was named one of the "top ten artificial intelligence researchers to watch" by IEEE Intelligent Systems. Research: My research is focused on novel statistical and computational methods for discovery of emerging events and other relevant patterns in complex and massive datasets, applied to real-world policy problems ranging from medicine and public health to law enforcement and security. Application areas include disease surveillance (e.g., using electronically available public health data such as hospital visits and medication sales to automatically identify and characterize emerging outbreaks), law enforcement (e.g., detection and prediction of crime patterns using offense reports and 911 calls), health care (e.g., detecting anomalous patterns of care which significantly impact patient outcomes), and urban analytics (e.g., helping city governments to predict and proactively respond to emerging patterns of citizen needs). Selected publications by topic Publications (chronological) Presentations (chronological) My CV My Google Scholar page CMU homepage (old) CMU Event and Pattern Detection Lab page (old) Which projects am I most excited about these days? So glad you asked! In no particular order: Pre-syndromic surveillance is a new way of thinking about public health and disease surveillance, using unstructured data to detect novel bio-threats and other emerging patterns of interest to public health. Algorithmic fairness , particularly, how we can audit black-box algorithms to identify and correct systematic biases in risk prediction. Discovering heterogeneous treatment effects in both randomized experiments and observational data, e.g., identifying patterns of care that impact patient health outcomes, and analyzing the impacts of exposure to poor housing conditions on health. Detecting patterns in massive, complex data such as images, text, and social media, with applications including civil unrest prediction, rare disease outbreak detection, and discovery of emerging patterns of human rights abuses. Automating the detection of natural experiments , including regression discontinuities, difference-in-differences, and instrumental variables, for causal inference. Modeling and detecting patterns in complex urban data , integrating two of my favorite methodological approaches. Scalable Gaussian processes enable accurate modeling and prediction in correlated spatio-temporal data. Then, given this model of "typical" system behavior, subset scanning can reliably detect subtle deviations by identifying subsets of the data that are collectively anomalous. Predictive policing , including a randomized field trial to analyze the impact of targeted hot-spot patrolling on violent crime, and other applications of machine learning for law enforcement and criminal justice. Opioid abuse and overdose surveillance , using data from prescription drug monitoring programs, law enforcement, and county medical examiners. Continuing to extend our fast subset scan methodology for pattern detection, e.g., to massive graphs, multidimensional data, and irregularly-shaped spatial clusters. A detailed statement of my research interests (last updated October 2017) can be found here , and additional details can be found on my (old) EPD Lab project page . Latest News: I am delighted to announce the formation of the new Machine Learning for Good Laboratory (ML4G Lab) at New York University! We are currently recruiting postdoctoral fellows and graduate students. Congratulations to CMU doctoral student, Mallory Nobles! Our abstract, Multidimensional Semantic Scan for Pre-Syndromic Disease Surveillance, was the winner of the 2018 International Society for Disease Surveillance Outstanding Student or Post-Degree Abstract Award . Our pre-syndromic surveillance project was selected as the runner-up in the Department of Homeland Security's Hidden Signals Challenge , a nationwide system design competition which focuses on detecting emerging bio-threats in real time. Here is the link to the winner announcement. I am guest co-editor of a special issue of GeoInformatica on "Analytics for Local Events and News". The submission deadline has been extended to January 15th, 2019. Please feel free to distribute this call for papers . Note that all papers should be submitted through the Springer GeoInformatica website . Our rodent prevention work was recently featured in an article on CityLab . According to the article, "The city of Chicago is still running Neill's predictive analytics approach and has touted that it's 20 percent more effective than the traditional method of baiting rats after they've been discovered." Our paper on Semantic Scan: Detecting Subtle, Spatially Localized Events in Text Streams was named the winner of the Yelp Dataset Challenge . Our approach for identifying emerging topics can be used both for public health (detecting "novel" outbreaks with rare or previously unseen symptom patterns) as well as identifying emerging regional business trends. Thanks to both Yelp and CMU for their very nice press coverage of this work! Our crime prediction work with the Pittsburgh Bureau of Police was featured in an editorial in the 30 Sep 2016 issue of Science . Our comprehensive review article, "Youth violence: what we know and what we need to know", was featured in a press release by the American Psychological Association. The article was published in the January 2016 issue of the APA's flagship journal, American Psychologist , and is available here . I gratefully acknowledge funding support from the National Science Foundation, grants IIS-0916345, IIS-0911032, and IIS-0953330, as well as a UPMC Healthcare Technology Innovation Grant, funding from the John D. and Catherine T. MacArthur Foundation and Richard King Mellon Foundation, and a gift from the Disruptive Health Technology Institute. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation, UPMC, DHTI, Richard King Mellon Foundation, or MacArthur Foundation. Last updated: 1/20/2019 diff --git a/src/data/compiled_bios/32.txt b/src/data/compiled_bios/32.txt new file mode 100644 index 0000000000..4111e329de --- /dev/null +++ b/src/data/compiled_bios/32.txt @@ -0,0 +1 @@ + Elsa Gunter Research Professor and Senior Lecturer 2112 Siebel Center for Comp Sci 201 N. Goodwin Ave. Urbana Illinois 61801 (217) 265-6118 egunter@illinois.edu Director of Undergraduate Programs 2112 Siebel Center for Comp Sci 201 N. Goodwin Ave. Urbana Illinois 61801 (217) 265-6118 egunter@illinois.edu : Primary Research Area Programming Languages / Formal Methods / Software Engineering Research Areas Programming Languages / Formal Methods / Software Engineering For more information Elsa L. Gunter's home page Education Ph.D., Mathematics, University of Wisconsin, 1987 . Primary Research Area Programming Languages / Formal Methods / Software Engineering Research Areas Programming Languages / Formal Methods / Software Engineering For more information Elsa L. Gunter's home page . . For more information Elsa L. Gunter's home page . diff --git a/src/data/compiled_bios/320.txt b/src/data/compiled_bios/320.txt new file mode 100644 index 0000000000..7fffb20607 --- /dev/null +++ b/src/data/compiled_bios/320.txt @@ -0,0 +1 @@ +Name: Arnold, Gordon:: Position: Senior Lecturer:: Degrees: B.S., Computer Science, The University of Texas at Dallas; M.B.A., Southern Methodist University; Ph.D. Candidate, The University of Texas at Dallas; Research Interests: Intelligent Systems; Creative Automata; Computational Learning; Major Honors and Awards: Method and apparatus for miniaturizing digital light processing displays using high refractive index crystals U.S. Patent 7518570 B2, Apr 14, 2009; diff --git a/src/data/compiled_bios/3200.txt b/src/data/compiled_bios/3200.txt new file mode 100644 index 0000000000..c4235b7259 --- /dev/null +++ b/src/data/compiled_bios/3200.txt @@ -0,0 +1 @@ + Sana Odeh Clinical Professor of Computer Science Faculty Liaison for Global Programs of Computer Science Computer Science Department Courant Institute of Mathematical Sciences New York University, New York Affiliated Faculty, NYU Abu Dhabi Email: sana [AT] nyu.edu Menu Skip to content Home Research Recognition Teaching Web Development and Programming The Language of Computers Service Contact Home Professor Sana Odeh is Clinical Professor and Faculty Liaison for Global Programs of Computer Science at Courant Institute of Mathematical Sciences at New York University and Affiliated Faculty of Computer Science at New York University Abu Dhabi. A proponent of women in technology, Professor Odeh is the founder and chair of the Conference on Women in Computing in the Arab world , founder and chair of Arab Women in Computing , founder and chair of the annual NYU Abu Dhabi International Hackathon for Social Good in the Arab World , chair of the annual New York City Girls Computer Science and Engineering Conference , and the faculty advisor for NYU Courants Women in Computing (WinC) at NYU New York. She is also a member of the leadership committee of the Grace Hopper Celebration of Women in Computing (GHC) and the steering committee of the Association for Computing Machinery Council on Women in Computing (ACM-W). At NYU Abu Dhabi, Professor Odeh set up the Computer Science department and created several successful international collaboration projects in computer science. She remains an affiliated faculty and teaches during the spring semester. She also coordinates and develops two computer Science courses at NYU Paris that will be offered from Fall 2018: Introduction to Machine Learning and Introduction to Computer Security. Her research focuses on Arab women in computing, programming languages, web and mobile technologies, developing information technologies for the developing world, and e-learning. Page last updated January 2019 2018 Sana Odeh Proudly powered by WordPress diff --git a/src/data/compiled_bios/3201.txt b/src/data/compiled_bios/3201.txt new file mode 100644 index 0000000000..0a20848079 --- /dev/null +++ b/src/data/compiled_bios/3201.txt @@ -0,0 +1 @@ + Michael L. Overton Silver Professor of Computer Science and Mathematics diff --git a/src/data/compiled_bios/3202.txt b/src/data/compiled_bios/3202.txt new file mode 100644 index 0000000000..fbc3905f9b --- /dev/null +++ b/src/data/compiled_bios/3202.txt @@ -0,0 +1 @@ + Aurojit Panda 405, 60 Fifth Ave. apanda@cs.nyu.edu Mail Trackers Verboten @apanda apanda I am an assistant professor in Computer Science at NYU . Previously, I received my PhD from UC Berkeley where I was advised by Scott Shenker and worked in the NetSys Lab . Even earlier, I received a Sc.B. with honors in Math-CS from Brown . My research interests lie in finding lightweight mechanisms for achieving correctness in systems (broadly defined). My dissertation looked at how to implement and execute network functions; and how to verify correctness for NFV (network function virtualization) deployments. A selection of past projects and publications can be found on this site. Before starting at NYU, I spent a year as a software developer at Nefeli Networks , a startup focused on solutions for Network Function orchestration. Between Brown and Berkeley I spent a few years working on the Midori kernel at Microsoft. Teaching Fall 2018: Distributed Systems Publications 2019 Thoughts on Load Distribution and the Role of Programmable Switches James McCauley, Aurojit Panda , Arvind Krishnamurthy, Scott Shenker. CCR Editorial. January 2019. 2018 Revisiting Network Support for RDMA Radhika Mittal, Alex Shpiner, Aurojit Panda , Eithan Zahavi, Arvind Krishnamurthy, Sylvia Ratnasamy, Scott Shenker. SIGCOMM 2018. Monarch: Gaining Command on Geo-Distributed Graph Analytics Anand Iyer, Aurojit Panda , Mosharaf Chowdhury, Aditya Akella, Scott Shenker, Ion Stoica. HotCloud 2018. Bridging the GAP: Towards Approximate Graph Analytics Anand Iyer, Aurojit Panda , Shivaram Venkatraman, Mosharaf Chowdhury, Aditya Akella, Scott Shenker, Ion Stoica. GRADES-NDA 2018. Network Evolution for DNNs Michael Chang, Aurojit Panda , Domenic Bottini, Lisa Jian, Pranay Kumar, Scott Shenker. SysML 2018. Tasvir: Distributed Shared Memory for Machine Learning Amin Tootoonchian, Aurojit Panda , Aida Nematzadeh, Scott Shenker. SysML 2018. ResQ: Enabling SLOs in Network Function Virtualization Amin Tootoonchian, Aurojit Panda , Chang Lan, Melvin Walls, Katerina Argyraki, Sylvia Ratnasamy, Scott Shenker. NSDI 2018. 2017 Drizzle: Fast and Adaptable Stream Processing at Scale Shivaram Venkatraman, Aurojit Panda , Kay Ousterhout, Michael Armbrust, Ali Ghodsi, Michael J. Franklin, Benjamin Recht, Ion Stoica. SOSP 2017. Verification in the Age of Microservices . Aurojit Panda , Mooly Sagiv, Scott Shenker. HotOS 2017. System Programming in Rust: Beyond Safety . Abhiram Balasubramnian, Marek S. Baranowski, Anton Burtsev, Aurojit Panda , Zvonimir Rakamaric, Leonid Ryzhyk. HotOS 2017. SCL: Simplfying Distributed SDN Control Planes . Aurojit Panda , Wenting Zheng, Xiaohe Hu, Arvind Krishnamurthy, Scott Shenker. NSDI 2017. Verifying Reachability in Networks with Mutable Datapaths . Aurojit Panda , Ori Lahav, Katerina Argyraki, Mooly Sagiv, Scott Shenker. NSDI 2017. 2016 NetBricks: Taking the V out of NFV . Aurojit Panda , Sangjin Han, Keon Jang, Melvin Walls, Sylvia Ratnasamy, Scott Shenker. OSDI 2016 Project Page Slides Ivy: Interactive Verification of Parameterized Systems via Effectively Propositional Reasoning . Oded Padon, Kenneth McMillan, Aurojit Panda , Mooly Sagiv, Sharon Shoham. PLDI 2016 The Quest for Resilient (Static) Forwarding Tables . Marco Chiesa, Ilya Nikolavskiy, Slobodan Mirtovic, Aurojit Panda , Andrei Gurtov, Aleksander Madry, Michael Schapira, Scott Shenker. INFOCOMM 2016 Minimizing Faulty Executions of Distributed Systems . Colin Scott, Aurojit Panda , Vjekoslav Brajkovic, George Necula, Arvind Krishnamurthy, Scott Shenker. NSDI 2016 Some Complexity Results for Stateful Network Verification . Yaron Velner, Kalev Alpernas, Aurojit Panda , Alexander Rabinovich, Mooly Sagiv, Scott Shenker, Sharon Shoham. TACAS 2016 Open Network Interfaces for Carrier Networks . Aurojit Panda , James McCauley, Amin Tootoonchian, Justine Sherry, Teemu Koponen, Sylvia Ratnasamy, Scott Shenker. SIGCOMM CCR Jan. 2016 2015 E2: A Framework for NFV Applications . Shoumik Palkar, Chang Lan, Sangjin Han, Keon Jang, Aurojit Panda , Sylvia Ratnasamy, Luigi Rizzo, Scott Shenker. SOSP 2015 Rollback-Recovery for Middleboxes . Justine Sherry, Peter Xiang Gao, Soumya Basu, Aurojit Panda , Arvind Krishnamurthy, Christian Maciocco, Maziar Manesh, Joo Martins, Sylvia Ratnasamy, Luigi Rizzo, Scott Shenker. SIGCOMM 2015 ( Best Student Paper ) Route Bazaar: Automatic Interdomain Contract Negotiation . Ignacio Castro, Aurojit Panda , Barath Raghavan, Scott Shenker, Sergey Gorinsky. HotOS 2015 New Directions for Network Verification . Aurojit Panda , Katerina Argyraki, Mooly Sagiv, Michael Schapira, Scott Shenker. SNAPL 2015 Slides: [ pdf ] 2014 PRAN: Programmable Radio Access Networks . Wenfei Wu, Li Erran Li, Aurojit Panda , Scott Shenker. HotNets 2014 The Power of Choice in Data-Aware Cluster Scheduling . Shivaram Venkatraman, Aurojit Panda , Ganesh Ananthanarayanan, Michael Franklin, Ion Stoica. OSDI 2014 Troubleshooting Blackbox SDN Control Software with Minimal Causal Sequences . Colin Scott, Andreas Wundsam, Barath Raghavan, Aurojit Panda , Andrew Or, Jefferson Lai, Eugene Huang, Zhi Liu, Ahmed El-Hassany, Sam Whitlock, H.B. Acharya, Kyriakos Zarifis, Scott Shenker. SIGCOMM 2014 2013 Network Support for Resource Disaggregation in Next-Generation Data Centers . Sangjin Han, Nobert Egi, Aurojit Panda , Sylvia Ratnasamy, Guangyu Shi, Scott Shenker. HotNets 2013 CAP for Networks . Aurojit Panda , Colin Scott, Ali Ghodsi, Teemu Koponen, Scott Shenker. HotSDN 2013 Slides: [ pdf ] The Case for Tiny Tasks in Compute Clusters . Kay Ousterhout, Aurojit Panda , Josh Rosen, Shivaram Venkatraman, Reynold Xin, Sylvia Ratnasamy, Scott Shenker, Ion Stoica. HotOS 2013 HW Databases, Where art Thou? . Sangjin Han, Aurojit Panda, Sylvia Ratnasamy. TinyTOCS 2013 BlinkDB: Queries with Bounded Errors and Bounded Response Times on Very Large Data . Sameer Agarwal, Barzan Mozafari, Aurojit Panda , Henry Milner, Samuel Madden, Ion Stoica. EuroSys 2013 ( Best Paper ) Ensuring Connectivity via Data Plane Mechanisms . Junda Liu, Aurojit Panda , Ankit Singla, P. Brighten Godfrey, Michael Schapira, Scott Shenker. NSDI 2013 Slides: [ pdf ] 2012 A New Approach to Interdomain Routing Based on Secure Multi-Party Computation . Debayan Gupta, Aaron Segal, Aurojit Panda , Gil Sagev, Michael Schapira, Joan Feigenbaum, Jennifer Rexford, Scott Shenker. HotNets 2012 On the Resilience of Routing Tables . Joan Feigenbaum, P. Brighten Godfrey, Aurojit Panda , Michael Schapira, Scott Shenker, Ankit Singla. PODC 2012 2008 Model Restarts for Structural Symmetry Breaking . Daniel Heller, Aurojit Panda , Meinolf Sellmann, Justin Yip. Principles and Practices of Constraint Programming 2008 Service Reviewing NSDI 2019 ANCS 2018 KBNets 2018 SecSoN 2018 EuroSys Doctoral Workshop 2018 MobiSys (Extended Review Committee) 2018 SOSR 2018 diff --git a/src/data/compiled_bios/3203.txt b/src/data/compiled_bios/3203.txt new file mode 100644 index 0000000000..84815ffc1c --- /dev/null +++ b/src/data/compiled_bios/3203.txt @@ -0,0 +1 @@ + Geometric Computing Lab @ NYU Geometric Computing Lab @ NYU Github Daniele Panozzo Full CV Contact Info: Courant Institute of Mathematical Sciences New York University 60 5th Ave, 5th floor New York, NY 10011 Phone: +1 212 998 3208 Email: panozzo@nyu.edu I am an assistant professor at the Courant Institute of Mathematical Sciences in New York University . Before joining NYU, I was a senior researcher at ETH Zurich , working in the Interactive Geometry Lab . I earned my BSc and PhD in Computer Science from the University of Genoa (2008, 2012). My research interests are in digital fabrication, geometry processing, architectural geometry and discrete differential geometry. My doctoral thesis was awarded the EUROGRAPHICS Annual Award for Best PhD Thesis in 2013. My research in computer graphics was awarded the EUROGRAPHICS Young Researcher Award in 2015 and the NSF CAREER Award in 2017. Publications Poly-Spline Finite Element Method Teseo Schneider , Jeremie Dumas , Xifeng Gao , Mario Botsch, Daniele Panozzo , Denis Zorin , Arxiv (submitted), 2018 [ Paper ] [ Code ] Decoupling Simulation Accuracy from Mesh Quality Teseo Schneider , Yixin Hu , Jeremie Dumas , Xifeng Gao , Daniele Panozzo , Denis Zorin , ACM Transaction on Graphics (SIGGRAPH Asia), 2018 [ Paper ] [ Code ] Tetrahedral Meshing in the Wild Yixin Hu , Qingnan Zhou , Xifeng Gao , Alec Jacobson , Denis Zorin , Daniele Panozzo , ACM Transaction on Graphics (SIGGRAPH), 2018 [ Paper ] [ Code ] [ Figure Data ] [ 10k Input ] [ 10k Output Surface Meshes ] [ 10k Output Tetrahedral Meshes ] Stitch Meshing Kui Wu , Xifeng Gao , Zachary Ferguson , Daniele Panozzo , Cem Yuksel , ACM Transaction on Graphics (SIGGRAPH), 2018 [ Paper ] [ Video ] [ Code ] Generalized Motorcycle Graphs for Imperfect Quad-Dominant Meshes Nico Schertler , Daniele Panozzo , Stefan Gumhold , Marco Tarini , ACM Transaction on Graphics (SIGGRAPH), 2018 [ Paper ] [ Code ] [ Supplemental ] [ Data ] Axis-Aligned Height-Field Block Decomposition of 3D Shapes Alessandro Muntoni, Marco Livesu , Riccardo Scateni , Alla Sheffer , Daniele Panozzo , ACM Transaction on Graphics (TOG), 2018 [ Paper ] [ Code ] [ Data ] [ Website ] Surface Networks Ilya Kostrikov, Zhongshi Jiang , Daniele Panozzo , Denis Zorin , Joan Bruna , CVPR (Oral Presentation), 2018 [ Paper ] [ Supplemental ] [ Code ] Libigl: Prototyping Geometry Processing Research In C++ Alec Jacobson , Daniele Panozzo , SIGGRAPH Asia Course, SGP Course, 2017 [ Slides ] [ Code ] [ Video ] Simplicial Complex Augmentation Framework for Bijective Maps Zhongshi Jiang , Scott Schaefer , Daniele Panozzo , ACM Transactions on Graphics (SIGGRAPH Asia), 2017 [ Paper ] [ Videos/Data ] [ Code ] Robust Structure Simplification for Hex Re-meshing Xifeng Gao , Daniele Panozzo , Wenping Wang , Zhigang Deng , Guoning Chen , ACM Transactions on Graphics (SIGGRAPH Asia), 2017 [ Paper ] [ Videos/Data ] [ Code ] Position-Based Tensegrity Design Nico Pietroni , Marco Tarini , Amir Vaxman , Daniele Panozzo , Paolo Cignoni , ACM Transactions on Graphics (SIGGRAPH Asia), 2017 [ Paper ] [ Video ] [ Data ] Autocuts: Simultaneous Distortion and Cut Optimization for UV Mapping Roi Poranne , Marco Tarini , Sandro Huber, Daniele Panozzo , Olga Sorkine-Hornung , ACM Transactions on Graphics (SIGGRAPH Asia), 2017 [ Paper ] [ Video ] [ Code ] T-junctions in spline surfaces Kestutis Karciauskas , Daniele Panozzo , Jorg Peters , ACM Transactions on Graphics, 2017 [ Paper ] [ Code ] Robust Hex-Dominant Mesh Generation using Field-Guided Polyhedral Agglomeration Xifeng Gao , Wenzel Jakob , Marco Tarini , Daniele Panozzo , ACM Transactions on Graphics (SIGGRAPH), 2017 [ Paper ] [ Videos/Data ] [ Code ] Field-Aligned Online Surface Reconstruction Nico Schertler , Marco Tarini , Wenzel Jakob , Misha Kazhdan , Stefan Gumhold , Daniele Panozzo , ACM Transactions on Graphics (SIGGRAPH), 2017 [ Paper ] [ Video ] [ Code ] [ Data ] Scalable Locally Injective Maps Michael Rabinovich , Roi Poranne , Daniele Panozzo , Olga Sorkine-Hornung , ACM Transactions on Graphics, 2017 [ Paper ] [ Video ] [ Reference Code ] [ Optimized Code ] [ Data ] How Was It Made? Rig Animation with a Tangible and Modular Input Device Oliver Glauser , Benedek Vartok, Alex (Wan-Chun) Ma , Daniele Panozzo , Alec Jacobson , Otmar Hilliges , Olga Sorkine-Hornung , Invited article ACM Interactions, 2017 [ Paper ] [ Html ] [ Demo Hour ] Blended barycentric coordinates Dmitry Anisimov , Daniele Panozzo , Kai Hormann , Computer Aided Geometric Design (GMP), 2017 [ Paper ] Directional Field Synthesis, Design, and Processing Amir Vaxman , Marcel Campen , Olga Diamanti , Mirela Ben-Chen , David Bommes , Klaus Hildebrandt , Daniele Panozzo , SIGGRAPH and SIGGRAPH Asia Course, 2017 [ Github ] Digitally reconstructing the Great Parchment Book: 3D recovery of fire-damaged historical documents Kazim Pal, Nicola Avery, Pete Boston, Alberto Campagnolo, Caroline De Stefani, Helen Matheson-Pollock, Daniele Panozzo , Matthew Payne, Christian Schller , Chris Sanderson, Chris Scott, Philippa Smith, Rachael Smither, Olga Sorkine-Hornung , Ann Stewart, Emma Stewart, Patricia Stewart, Melissa Terras, Bernadette Walsh, Laurence Ward, Liz Yamada, Tim Weyrich , Digital Scholarship in the Humanities, 2016 [ Paper ] Confocal reference free traction force microscopy Martin Bergert , Tobias Lendenmann , Manuel Zundel , Alexander E. Ehret , Daniele Panozzo , Patrizia Richner , David K. Kim, Stephan J. P. Kress , David J. Norris , Olga Sorkine-Hornung , Edoardo Mazza , Dimos Poulikakos , Aldo Ferrari , Nature Communications, 2016 [ Paper ] [ Additional Material ] [ Movie 1 ] [ Movie 2 ] [ Movie 3 ] [ Movie 4 ] [ Code ] Rig Animation with a Tangible and Modular Input Device Oliver Glauser , Benedek Vartok, Alex (Wan-Chun) Ma , Daniele Panozzo , Alec Jacobson , Otmar Hilliges , Olga Sorkine-Hornung , UIST Demo, 2016 [ Paper ] [ Website ] Image Content Retargeting Alessandro Artusi , Francesco Banterle , Tunc Ozan Aydin , Daniele Panozzo , Olga Sorkine-Hornung , Book A K Peters/CRC Press, 2016 [ Publisher ] Computational Thermoforming Christian Schller , Daniele Panozzo , Anselm Grundhofer , Henning Zimmer , Evgeni Sorkine, Olga Sorkine-Hornung , ACM Transactions on Graphics (SIGGRAPH), 2016 [ Paper ] [ Video ] [ Website ] Rig Animation with a Tangible and Modular Input Device Oliver Glauser , Alex (Wan-Chun) Ma , Daniele Panozzo , Alec Jacobson , Otmar Hilliges , Olga Sorkine-Hornung , ACM Transactions on Graphics (SIGGRAPH), 2016 [ Paper ] [ Video ] [ Website ] Directional Field Synthesis, Design, and Processing Amir Vaxman , Marcel Campen , Olga Diamanti , Daniele Panozzo , David Bommes , Klaus Hildebrandt , Mirela Ben-Chen , Eurographics State-of-the-art Report, 2016 [ Paper ] Instant Field-Aligned Meshes Wenzel Jakob , Marco Tarini , Daniele Panozzo , Olga Sorkine-Hornung , ACM Transactions on Graphics (SIGGRAPH Asia), 2015 [ Paper ] [ Video ] [ Data ] [ Code ] [ Website ] A simple C++ geometry processing library Alec Jacobson , Daniele Panozzo , Christian Schller , Olga Diamanti , Qingnan Zhou , Nico Pietroni , Stefan Brugger, Kenshi Takayama , Wenzel Jakob , Nikolas De Giorgis, Luigi Rocca, Leonardo Sacht , Olga Sorkine-Hornung , SGP Software Award, 2015 [ Code ] [ Tutorial ] [ Award ] Texture Mapping Real-World Objects with Hydrographics Daniele Panozzo , Olga Diamanti , Sylvain Paris , Marco Tarini , Evgeni Sorkine, Olga Sorkine-Hornung , SGP, 2015 [ Paper ] [ Video ] [ Code ] [ Website ] Integrable PolyVector Fields Olga Diamanti , Amir Vaxman , Daniele Panozzo , Olga Sorkine-Hornung , ACM Transactions on Graphics (SIGGRAPH), 2015 [ Paper ] [ Video ] [ Data ] [ Code ] [ Website ] Data-Driven Interactive Quadrangulation Giorgio Marcias , Kenshi Takayama , Nico Pietroni , Daniele Panozzo , Olga Sorkine-Hornung , Enrico Puppo , Paolo Cignoni , ACM Transactions on Graphics (SIGGRAPH), 2015 [ Paper ] [ Video ] [ Data ] [ Code ] [ Database ] [ Website ] Demystifying Quadrilateral Remeshing Daniele Panozzo , Dissertation Impact (IEEE Computer Graphics and Applications), 2015 [ Paper ] Appearance-Mimicking Surfaces Christian Schller , Daniele Panozzo , Olga Sorkine-Hornung , ACM Transactions on Graphics (SIGGRAPH ASIA), 2014 [ Paper ] [ Video ] [ Code ] [ Website ] Assembling Self-Supporting Structures Mario Deuss , Daniele Panozzo , Emily Whiting , Yang Liu , Philippe Block , Olga Sorkine-Hornung , Mark Pauly , ACM Transactions on Graphics (SIGGRAPH ASIA), 2014 [ Paper ] [ Video ] [ Data ] [ Code ] [ Website ] LIBIGL: A C++ Library for Geometry Processing without a Mesh Data Structure Daniele Panozzo , Alec Jacobson , SGP Graduate School, 2014 [ Course Notes ] [ Github ] Frame Fields: Anisotropic and Non-Orthogonal Cross Fields Daniele Panozzo , Enrico Puppo , Marco Tarini , Olga Sorkine-Hornung , ACM Transactions on Graphics (SIGGRAPH), 2014 [ Paper ] [ Video ] [ Additional ] [ Data ] [ Code ] [ Website ] Tangible and Modular Input Device for Character Articulation Alec Jacobson , Daniele Panozzo , Oliver Glauser , Cedric Pradalier , Otmar Hilliges , Olga Sorkine-Hornung , ACM Transactions on Graphics (SIGGRAPH), 2014 [ Paper ] [ Video ] [ Open Hardware ] [ E-Tech ] [ Website ] Designing N-PolyVector Fields with Complex Polynomials Olga Diamanti , Amir Vaxman , Daniele Panozzo , Olga Sorkine-Hornung , SGP, 2014 [ Paper ] [ Github ] [ Website ] Pattern-Based Quadrangulation for N-Sided Patches Kenshi Takayama , Daniele Panozzo , Olga Sorkine-Hornung , SGP, 2014 [ Paper ] [ Video ] [ Code ] [ Website ] Best-Fit Thrust Network Analysis: Rationalization of Freeform Meshes Tom Van Mele , Daniele Panozzo , Olga Sorkine-Hornung , Philippe Block , Book Chapter in Shell Structures for Architecture: Form Finding and Optimization, 2014 [ Chapter ] Accurate and Efficient Lighting for Skinned Models Marco Tarini , Daniele Panozzo , Olga Sorkine-Hornung , EUROGRAPHICS, 2014 [ Paper ] [ Video ] [ Additional ] [ Data ] [ Code ] [ Website ] Content-Aware Surface Parameterization for Interactive Restoration of Historical Documents Kazim Pal, Christian Schller , Daniele Panozzo , Olga Sorkine-Hornung , Tim Weyrich , EUROGRAPHICS, 2014 [ Paper ] [ Video ] [ Code ] Object Detection and Classification from Large-Scale Cluttered Indoor Scans Oliver Mattausch , Daniele Panozzo , Claudio Mura , Olga Sorkine-Hornung , Renato Pajarola , EUROGRAPHICS, 2014 [ Paper ] [ Video ] [ Data Office 1 ] [ Data Office 2 ] [ Data Office 3 ] [ Raw Data ] [ Code ] Mobile Image Retargeting Daniel Graf , Daniele Panozzo , Olga Sorkine-Hornung , Vision, Modeling and Visualization, 2013 [ Paper ] [ Video 1 ] [ Video 2 ] [ Data ] [ Code ] [ Website ] Designing Unreinforced Masonry Models Daniele Panozzo , Philippe Block , Olga Sorkine-Hornung , ACM Transactions on Graphics (SIGGRAPH), 2013 [ Paper ] [ Video ] [ Data ] [ Website ] Weighted Averages on Surfaces Daniele Panozzo , Ilya Baran , Olga Diamanti , Olga Sorkine-Hornung , ACM Transactions on Graphics (SIGGRAPH) , 2013 [ Paper ] [ Additional ] [ Video ] [ Code ] [ Website ] Sketch-Based Generation and Editing of Quad Meshes Kenshi Takayama , Daniele Panozzo , Alexander Sorkine-Hornung , Olga Sorkine-Hornung , ACM Transactions on Graphics (SIGGRAPH), 2013 [ Paper ] [ Tech Report ] [ Video ] [ Code ] [ Website ] Locally Injective Mappings Christian Schller , Ladislav Kavan , Daniele Panozzo , Olga Sorkine-Hornung , Computer Graphics Forum (SGP), 2013 [ Paper ] [ Additional ] [ Video ] [ Code ] [ Website ] Consistent Volumetric Discretizations Inside Self-Intersecting Surfaces Leonardo Sacht , Alec Jacobson , Daniele Panozzo , Christian Schller , Olga Sorkine-Hornung , Computer Graphics Forum (SGP), 2013 [ Paper ] [ Data ] [ Video ] [ Website ] Animation-Aware Quadrangulation Giorgio Marcias , Nico Pietroni , Daniele Panozzo , Enrico Puppo , Olga Sorkine-Hornung , Computer Graphics Forum (SGP), 2013 [ Paper ] [ Video ] [ Website ] Fields on symmetric surfaces Daniele Panozzo , Yaron Lipman , Enrico Puppo , Denis Zorin , ACM Transactions on Graphics (TOG), 2012 [ Paper ] [ Addendum ] Fields on Symmetric Surfaces Daniele Panozzo , Yaron Lipman , Enrico Puppo , Denis Zorin , ACM Transactions on Graphics (SIGGRAPH), 2012 [ Paper ] [ Additional ] Robust Interactive Image Retargeting via Axis-Aligned Deformation Daniele Panozzo , Ofir Weber , Olga Sorkine-Hornung , Computer Graphics Forum (Eurographics), 2012 [ Paper ] [ Video ] [ Comparisons ] [ Code ] [ Website ] Patchwork Terrains Luigi Rocca, Daniele Panozzo , Enrico Puppo , International Conference on Computer Graphics Theory and Applications, 2012 [ Paper ] Fast neighborhood search on polygonal meshes Luigi Rocca, Nikolas De Giorgis, Daniele Panozzo , Enrico Puppo , Eurographics Italian Chapter, 2011 [ Paper ] Interference Aware Geometric Modeling David Harmon , Daniele Panozzo , Olga Sorkine-Hornung , Denis Zorin , ACM Transactions on Graphics (SIGGRAPH Asia), 2011 [ Paper ] [ Video ] [ Code ] Simple Quad Domains for Field Aligned Mesh Parametrization Marco Tarini , Enrico Puppo , Daniele Panozzo , Paolo Cignoni , ACM Transactions on Graphics (SIGGRAPH Asia), 2011 [ Paper ] Automatic Construction of Quad-Based Subdivision Surfaces using Fitmaps Daniele Panozzo , Enrico Puppo , Marco Tarini , Nico Pietroni , Paolo Cignoni , IEEE Transactions on Visualization and Computer Graphics, 2011 [ Paper ] [ Video ] Implicit Hierarchical Quad-Dominant Meshes Daniele Panozzo , Enrico Puppo , Computer Graphics Forum, 2011 [ Paper ] Adaptive quad mesh simplification Agostino Bozzo, Daniele Panozzo , Enrico Puppo , Nico Pietroni , Luigi Rocca, Eurographics Italian Chapter, 2010 [ Paper ] Efficient Multi-scale Curvature and Crease Estimation Daniele Panozzo , Enrico Puppo , Luigi Rocca, GraVisMa, 2010 [ Paper ] A Dimension-Independent Data Structure for Simplicial Complexes Leila De Floriani , Annie Hui, Daniele Panozzo , David Canino , International Meshing Roundtable, 2010 [ Paper ] Adaptive LOD Editing of Quad Meshes Daniele Panozzo , Enrico Puppo , Afrigraph(Best Paper Award), 2010 [ Paper ] Practical quad mesh simplification Paolo Cignoni , Daniele Panozzo , Enrico Puppo , Eurographics, 2010 [ Paper ] [ Video ] Computing and Visualizing a Graph-Based Decomposition for Non-Manifold Shapes Leila De Floriani , Daniele Panozzo , Annie Hui, International Workshop on Graph-Based Representations in Pattern Recognition, 2009 [ Paper ] RGB Subdivision Enrico Puppo , Daniele Panozzo , IEEE Transactions on Visualization and Computer Graphics, 2009 [ Paper ] Interpolatory Adaptive Subdivision for Mesh Lod Editing Daniele Panozzo , Enrico Puppo , International Conference on Computer Graphics Theory and Applications, 2009 [ Paper ] NewsStand: A new view on news Benjamin E. Teitler , Michael D. Lieberman , Daniele Panozzo , Jagan Sankaranarayanan , Hanan Samet , Jon Sperling, ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (Best Paper Award), 2008 [ Paper ] Editing the LOD of Meshes with Interpolatory Adaptive Subdivisions Daniele Panozzo , Enrico Puppo , Poster at the Eurographics Symposium on Geometry Processing, 2008 [ Poster ] Menu News People Publications Software Datasets Teaching Contacts info@geometriccomputing.org (212) 998-3208 Courant Institute of Mathematical Sciences New York University 60 5th Ave, 5th floor New York, NY 10011 Design: HTML5 UP . Toggle diff --git a/src/data/compiled_bios/3204.txt b/src/data/compiled_bios/3204.txt new file mode 100644 index 0000000000..f4d2a88fea --- /dev/null +++ b/src/data/compiled_bios/3204.txt @@ -0,0 +1 @@ + Benjamin Peherstorfer | Courant Institute of Mathematical Sciences, New York University HOME RESEARCH GROUP CODE PUBLICATIONS Benjamin Peherstorfer Assistant Professor in Department of Computer Science Courant Institute of Mathematical Sciences New York University 251 Mercer Street New York, NY 10012 E-mail: pehersto at cims dot nyu dot edu Phone: 212 998 3297 Room: Warren Weaver Hall (WWH), Room 421 Download short bio News Feb 2019 : Our minisymposium " Model Reduction for Problems with Strong Convection, Sharp Gradients, and Discontinuities " (co-organized with Maciej Balajewicz and Gerrit Welper) at the SIAM Conference on Computational Science and Engineering 2019 has been selected as a Featured Minisymposium. Nov 2018 : Invited to give a presentation in the Applied Mathematics Colloquium at Columbia University . Nov 2018 : Invited to give a presentation in the SSD Seminar Series at the Aachen Institute for Advanced Study in Computational Engineering Science (AICES) , RWTH Aachen . Oct 2018 : Invited to give a presentation in the seminar of the Mathematics in Computational Science and Engineering group at EPFL . Sep 2018 : I will join Courant Institute of Mathematical Sciences at New York University as assistant professor on September 1, 2018. Sep 2018 : Invited to speak in the program "Science at Extreme Scales: Where Big Data Meets Large-Scale Computing" at the Institute for Pure & Applied Mathematics (IPAM). Expand Jul 2018 : I have been invited to participate as a Research Fellow in the program Model and dimension reduction in uncertain and dynamic systems at the Institute for Computational and Experimental Research in Mathematics (ICERM) at Brown University in Spring 2020 Apr 2018 : Co-organizer of minisymposium on multilevel and multifidelity methods for Bayesian inverse problems at SIAM Uncertainty Quantification 2018 ; with Tiangang Cui (Monash University) Apr 2018 : Invited speaker at the Model Reduction of Parametrized Systems (MoRePaS) IV conference Mar 2018 : Invited to speak at the workshop " Reducing dimensions and cost for UQ in complex systems ", which is held at the Isaac Newton Institute for Mathematical Sciences Sep 2017 : Our survey paper on multifidelity methods for outer-loop applications has been accepted by SIAM Review Jul 2017 : Our work on data-driven nonintrusive model reduction with operator inference is cited in SIAM News Jul 2017 : Invited to speak at the workshop Quantification of Uncertainty: Improving Efficiency and Technology that is organized by Marta D'Elia (Sandia), Max Gunzburger (Florida State), and Gianluigi Rozza (SISSA) Apr 2017 : Presentation in the colloquium of the Department of Mathematics at Virginia Tech Mar 2017 : Invited presentation at the workshop Uncertainty Quantification and Data-Driven Modeling that is organized by James R. Stewart (Sandia) and Krishna Garikipati (UMich) Feb 2017 : Co-organizer of minisymposium on surrogate modeling at SIAM Computational Science and Engineering 2017; with Gianluigi Rozza (SISSA) Jan 2017 : I became an affiliate of the Wisconsin Institute for Discovery/Optimization Oct 2016 : Presentation in the Applied and Computational Mathematics Seminar at University of Wisconsin-Madison Aug 2016 : I started as Assistant Professor at University of Wisconsin-Madison. Aug 2016 : Invited presentation at workshop on Next Generation Mobility Modeling and Simulation , UW-Madison Jul 2016 : Co-organizer of minisymposium on model reduction at SIAM Annual Meeting 2016 Mar 2016 : Co-organizer of the workshop on data-driven model reduction and machine learning Nov 2015 : Invited talk in the seminar series of the Transregional Collaborative Research Center on Invasive Computing Mar 2015 : Co-organizer of minisymposium on adaptive model reduction at SIAM CSE 15 Dec 2014 : I was awarded the Heinz Schwrtzel prize for my PhD thesis Dec 2014 : Invited talk in the scientific computing colloquium at TUM Apr 2014 : Co-organizer of minisymposium on density estimation at SIAM UQ 14 Jan 2014 : Started as Postdoctoral Associate in the group of Karen Willcox at MIT. Sep 2013 : Co-organizer of the workshop on adapt./local. MOR with machine learning Selected preprints of submitted articles [ 1 ] Peherstorfer, B. Model reduction for transport-dominated problems via online adaptive bases and adaptive sampling . arXiv:1812.02094 , 2018 . [ Abstract ] Abstract This work presents a model reduction approach for problems with coherent structures that propagate over time such as convection-dominated flows and wave-type phenomena. Traditional model reduction methods have difficulties with these transport-dominated problems because propagating coherent structures typically introduce high-dimensional features that require high-dimensional approximation spaces. The approach proposed in this work exploits the locality in space and time of propagating coherent structures to derive efficient reduced models. First, full-model solutions are approximated locally in time via local reduced spaces that are adapted with basis updates during time stepping. The basis updates are derived from querying the full model at a few selected spatial coordinates. Second, the locality in space of the coherent structures is exploited via an adaptive sampling scheme that selects at which components to query the full model for computing the basis updates. Our analysis shows that, in probability, the more local the coherent structure is in space, the fewer full-model samples are required to adapt the reduced basis with the proposed adaptive sampling scheme. Numerical results on benchmark examples with interacting wave-type structures and time-varying transport speeds and on a model combustor of a single-element rocket engine demonstrate the wide applicability of our approach and the significant runtime speedups compared to full models and traditional reduced models. [ BibTeX ] @techreport{P18AADEIM, title = {Model reduction for transport-dominated problems via online adaptive bases and adaptive sampling}, author = {Peherstorfer, B.}, journal = {arXiv:1812.02094}, year = {2018}, } [ 2 ] Peherstorfer, B., Drmac, Z. & Gugercin, S. Stabilizing discrete empirical interpolation via randomized and deterministic oversampling . arXiv:1808.10473 , 2018 . [ Abstract ] Abstract This work investigates randomized and deterministic oversampling in (discrete) empirical interpolation for nonlinear model reduction. Empirical interpolation derives approximations of nonlinear terms from a few samples via interpolation in low-dimensional spaces. It has been demonstrated that empirical interpolation can become unstable if the samples from the nonlinear terms are perturbed due to, e.g., noise, turbulence, and numerical inaccuracies. Our probabilistic analysis shows that randomized oversampling stabilizes empirical interpolation in the presence of Gaussian noise. Furthermore, we discuss deterministic oversampling strategies that select points by descending in directions of eigenvectors corresponding to sampling point updates and by establishing connections between sampling point selection and clustering. Our numerical results demonstrate on synthetic and diffusion-reaction problems that randomized and deterministic oversampling with our approach stabilizes empirical interpolation in the presence of noise. [ BibTeX ] @techreport{PDG18ODEIM, title = {Stabilizing discrete empirical interpolation via randomized and deterministic oversampling}, author = {Peherstorfer, B. and Drmac, Z. and Gugercin, S.}, journal = {arXiv:1808.10473}, year = {2018}, } [ 3 ] Peherstorfer, B. & Marzouk, Y. A transport-based multifidelity preconditioner for Markov chain Monte Carlo . arXiv:1808.09379 , 2018 . [ BibTeX ] @techreport{PM18MultiTM, title = {A transport-based multifidelity preconditioner for Markov chain Monte Carlo}, author = {Peherstorfer, B. and Marzouk, Y.}, journal = {arXiv:1808.09379}, year = {2018}, } [ 4 ] Peherstorfer, B. Multifidelity Monte Carlo estimation with adaptive low-fidelity models . University of Wisconsin-Madison , Technical Report , 2017 . [ BibTeX ] @techreport{P17AMFMC, title = {Multifidelity Monte Carlo estimation with adaptive low-fidelity models}, author = {Peherstorfer, B.}, volume = {Technical Report}, year = {2017}, institution = {University of Wisconsin-Madison}, } [ 5 ] Kramer, B., Marques, A., Peherstorfer, B., Villa, U. & Willcox, K. Multifidelity probability estimation via fusion of estimators . Massachusetts Institute of Technology , ACDL TR-2017-3 , 2017 . [ BibTeX ] @techreport{KMPVW17Fusion, title = {Multifidelity probability estimation via fusion of estimators}, author = {Kramer, B. and Marques, A. and Peherstorfer, B. and Villa, U. and Willcox, K.}, volume = {ACDL TR-2017-3}, year = {2017}, institution = {Massachusetts Institute of Technology}, } Full list Selected journal publications [ 1 ] Swischuk, R., Mainini, L., Peherstorfer, B. & Willcox, K. Projection-based model reduction: Formulations for physics-based machine learning . Computers & Fluids , 2018 . (accepted) . [ Abstract ] Abstract This paper considers the creation of parametric surrogate models for applications in science and engineering where the goal is to predict high-dimensional output quantities of interest, such as pressure, temperature and strain fields. The proposed methodology develops a low-dimensional parametrization of these quantities of interest using the proper orthogonal decomposition (POD), and combines this parametrization with machine learning methods to learn the map between the input parameters and the POD expansion coefficients. The use of particular solutions in the POD expansion provides a way to embed physical constraints, such as boundary conditions and other features of the solution that must be preserved. The relative costs and effectiveness of four different machine learning techniquesneural networks, multivariate polynomial regression, k-nearest-neighbors and decision treesare explored through two engineering examples. The first example considers prediction of the pressure field around an airfoil, while the second considers prediction of the strain field over a damaged composite panel. The case studies demonstrate the importance of embedding physical constraints within learned models, and also highlight the important point that the amount of model training data available in an engineering setting is often much less than it is in other machine learning applications, making it essential to incorporate knowledge from physical models. [ BibTeX ] @article{SMPK18PhysicsLearning, title = {Projection-based model reduction: Formulations for physics-based machine learning}, author = {Swischuk, R. and Mainini, L. and Peherstorfer, B. and Willcox, K.}, journal = {Computers & Fluids}, year = {2018}, } [ 2 ] Peherstorfer, B., Kramer, B. & Willcox, K. Multifidelity preconditioning of the cross-entropy method for rare event simulation and failure probability estimation . SIAM/ASA Journal on Uncertainty Quantification , 6 (2) :737-761 , 2018 . [ Abstract ] Abstract Accurately estimating rare event probabilities with Monte Carlo can become costly if for each sample a computationally expensive high-fidelity model evaluation is necessary to approximate the system response. Variance reduction with importance sampling significantly reduces the number of required samples if a suitable biasing density is used. This work introduces a multifidelity approach that leverages a hierarchy of low-cost surrogate models to efficiently construct biasing densities for importance sampling. Our multifidelity approach is based on the cross-entropy method that derives a biasing density via an optimization problem. We approximate the solution of the optimization problem at each level of the surrogate-model hierarchy, reusing the densities found on the previous levels to precondition the optimization problem on the subsequent levels. With the preconditioning, an accurate approximation of the solution of the optimization problem at each level can be obtained from a few model evaluations only. In particular, at the highest level, only few evaluations of the computationally expensive high-fidelity model are necessary. Our numerical results demonstrate that our multifidelity approach achieves speedups of several orders of magnitude in a thermal and a reacting-flow example compared to the single-fidelity cross-entropy method that uses a single model alone. [ BibTeX ] @article{PKW17MFCE, title = {Multifidelity preconditioning of the cross-entropy method for rare event simulation and failure probability estimation}, author = {Peherstorfer, B. and Kramer, B. and Willcox, K.}, journal = {SIAM/ASA Journal on Uncertainty Quantification}, volume = {6}, number = {2}, pages = {737-761}, year = {2018}, } [ 3 ] Peherstorfer, B., Gunzburger, M. & Willcox, K. Convergence analysis of multifidelity Monte Carlo estimation . Numerische Mathematik , 139 (3) :683-707 , 2018 . [ Abstract ] Abstract The multifidelity Monte Carlo method provides a general framework for combining cheap low-fidelity approximations of an expensive high-fidelity model to accelerate the Monte Carlo estimation of statistics of the high-fidelity model output. In this work, we investigate the properties of multifidelity Monte Carlo estimation in the setting where a hierarchy of approximations can be constructed with known error and cost bounds. Our main result is a convergence analysis of multifidelity Monte Carlo estimation, for which we prove a bound on the costs of the multifidelity Monte Carlo estimator under assumptions on the error and cost bounds of the low-fidelity approximations. The assumptions that we make are typical in the setting of similar Monte Carlo techniques. Numerical experiments illustrate the derived bounds. [ BibTeX ] @article{PWK16MFMCAsymptotics, title = {Convergence analysis of multifidelity Monte Carlo estimation}, author = {Peherstorfer, B. and Gunzburger, M. and Willcox, K.}, journal = {Numerische Mathematik}, volume = {139}, number = {3}, pages = {683-707}, year = {2018}, } [ 4 ] Qian, E., Peherstorfer, B., O'Malley, D., Vesselinov, V.V. & Willcox, K. Multifidelity Monte Carlo Estimation of Variance and Sensitivity Indices . SIAM/ASA Journal on Uncertainty Quantification , 6 (2) :683-706 , 2018 . [ Abstract ] Abstract Variance-based sensitivity analysis provides a quantitative measure of how uncertainty in a model input contributes to uncertainty in the model output. Such sensitivity analyses arise in a wide variety of applications and are typically computed using Monte Carlo estimation, but the many samples required for Monte Carlo to be sufficiently accurate can make these analyses intractable when the model is expensive. This work presents a multifidelity approach for estimating sensitivity indices that leverages cheaper low-fidelity models to reduce the cost of sensitivity analysis while retaining accuracy guarantees via recourse to the original, expensive model. This paper develops new multifidelity estimators for variance and for the Sobol' main and total effect sensitivity indices. We discuss strategies for dividing limited computational resources among models and specify a recommended strategy. Results are presented for the Ishigami function and a convection-diffusion-reaction model that demonstrate up to 10x speedups for fixed convergence levels. For the problems tested, the multifidelity approach allows inputs to be definitively ranked in importance when Monte Carlo alone fails to do so. [ BibTeX ] @article{QPOVW17MFGSA, title = {Multifidelity Monte Carlo Estimation of Variance and Sensitivity Indices}, author = {Qian, E. and Peherstorfer, B. and O'Malley, D. and Vesselinov, V.V. and Willcox, K.}, journal = {SIAM/ASA Journal on Uncertainty Quantification}, volume = {6}, number = {2}, pages = {683-706}, year = {2018}, } [ 5 ] Baptista, R., Marzouk, Y., Willcox, K. & Peherstorfer, B. Optimal Approximations of Coupling in Multidisciplinary Models . AIAA Journal , 56 :2412-2428 , 2018 . [ Abstract ] Abstract This paper presents a methodology for identifying important discipline couplings in multicomponent engineering systems. Coupling among disciplines contributes significantly to the computational cost of analyzing a system, and can become particularly burdensome when coupled analyses are embedded within a design or optimization loop. In many cases, disciplines may be weakly coupled, so that some of the coupling or interaction terms can be neglected without significantly impacting the accuracy of the system output. Typical practice derives such approximations in an ad hoc manner using expert opinion and domain experience. This work proposes a new approach that formulates an optimization problem to find a model that optimally balances accuracy of the model outputs with the sparsity of the discipline couplings. An adaptive sequential Monte Carlo sampling-based technique is used to efficiently search the combinatorial model space of different discipline couplings. An algorithm for selecting an optimal model is presented and illustrated in a fire detection satellite model and a turbine engine cycle analysis model. [ BibTeX ] @article{AIAADecouple18Baptista, title = {Optimal Approximations of Coupling in Multidisciplinary Models}, author = {Baptista, R. and Marzouk, Y. and Willcox, K. and Peherstorfer, B.}, journal = {AIAA Journal}, volume = {56}, pages = {2412-2428}, year = {2018}, } [ 6 ] Zimmermann, R., Peherstorfer, B. & Willcox, K. Geometric subspace updates with applications to online adaptive nonlinear model reduction . SIAM Journal on Matrix Analysis and Applications , 39 (1) :234-261 , 2018 . [ Abstract ] Abstract In many scientific applications, including model reduction and image processing, subspaces are used as ansatz spaces for the low-dimensional approximation and reconstruction of the state vectors of interest. We introduce a procedure for adapting an existing subspace based on information from the least-squares problem that underlies the approximation problem of interest such that the associated least-squares residual vanishes exactly. The method builds on a Riemmannian optimization procedure on the Grassmann manifold of low-dimensional subspaces, namely the Grassmannian Rank-One Subspace Estimation (GROUSE). We establish for GROUSE a closed-form expression for the residual function along the geodesic descent direction. Specific applications of subspace adaptation are discussed in the context of image processing and model reduction of nonlinear partial differential equation systems. [ BibTeX ] @article{ZPW17SIMAXManifold, title = {Geometric subspace updates with applications to online adaptive nonlinear model reduction}, author = {Zimmermann, R. and Peherstorfer, B. and Willcox, K.}, journal = {SIAM Journal on Matrix Analysis and Applications}, volume = {39}, number = {1}, pages = {234-261}, year = {2018}, } [ 7 ] Peherstorfer, B., Willcox, K. & Gunzburger, M. Survey of multifidelity methods in uncertainty propagation, inference, and optimization . SIAM Review , 60 (3) :550-591 , 2018 . [ Abstract ] Abstract In many situations across computational science and engineering, multiple computational models are available that describe a system of interest. These different models have varying evaluation costs and varying fidelities. Typically, a computationally expensive high-fidelity model describes the system with the accuracy required by the current application at hand, while lower-fidelity models are less accurate but computationally cheaper than the high-fidelity model. Outer-loop applications, such as optimization, inference, and uncertainty quantification, require multiple model evaluations at many different inputs, which often leads to computational demands that exceed available resources if only the high-fidelity model is used. This work surveys multifidelity methods that accelerate the solution of outer-loop applications by combining high-fidelity and low-fidelity model evaluations, where the low-fidelity evaluations arise from an explicit low-fidelity model (e.g., a simplified physics approximation, a reduced model, a data-fit surrogate, etc.) that approximates the same output quantity as the high-fidelity model. The overall premise of these multifidelity methods is that low-fidelity models are leveraged for speedup while the high-fidelity model is kept in the loop to establish accuracy and/or convergence guarantees. We categorize multifidelity methods according to three classes of strategies: adaptation, fusion, and filtering. The paper reviews multifidelity methods in the outer-loop contexts of uncertainty propagation, inference, and optimization. [ BibTeX ] @article{PWG17MultiSurvey, title = {Survey of multifidelity methods in uncertainty propagation, inference, and optimization}, author = {Peherstorfer, B. and Willcox, K. and Gunzburger, M.}, journal = {SIAM Review}, volume = {60}, number = {3}, pages = {550-591}, year = {2018}, } [ 8 ] Peherstorfer, B., Gugercin, S. & Willcox, K. Data-driven reduced model construction with time-domain Loewner models . SIAM Journal on Scientific Computing , 39 (5) :A2152-A2178 , 2017 . [ Abstract ] Abstract This work presents a data-driven nonintrusive model reduction approach for large-scale time-dependent systems with linear state dependence. Traditionally, model reduction is performed in an intrusive projection-based framework, where the operators of the full model are required either explicitly in an assembled form or implicitly through a routine that returns the action of the operators on a vector. Our nonintrusive approach constructs reduced models directly from trajectories of the inputs and outputs of the full model, without requiring the full-model operators. These trajectories are generated by running a simulation of the full model; our method then infers frequency-response data from these simulated time-domain trajectories and uses the data-driven Loewner framework to derive a reduced model. Only a single time-domain simulation is required to derive a reduced model with the new data-driven nonintrusive approach. We demonstrate our model reduction method on several benchmark examples and a finite element model of a cantilever beam; our approach recovers the classical Loewner reduced models and, for these problems, yields high-quality reduced models despite treating the full model as a black box. [ BibTeX ] @article{PSW16TLoewner, title = {Data-driven reduced model construction with time-domain Loewner models}, author = {Peherstorfer, B. and Gugercin, S. and Willcox, K.}, journal = {SIAM Journal on Scientific Computing}, volume = {39}, number = {5}, pages = {A2152-A2178}, year = {2017}, } [ 9 ] Peherstorfer, B., Kramer, B. & Willcox, K. Combining multiple surrogate models to accelerate failure probability estimation with expensive high-fidelity models . Journal of Computational Physics , 341 :61-75 , 2017 . [ Abstract ] Abstract In failure probability estimation, importance sampling constructs a biasing distribution that targets the failure event such that a small number of model evaluations is sufficient to achieve a Monte Carlo estimate of the failure probability with an acceptable accuracy; however, the construction of the biasing distribution often requires a large number of model evaluations, which can become computationally expensive. We present a mixed multifidelity importance sampling (MMFIS) approach that leverages computationally cheap but erroneous surrogate models for the construction of the biasing distribution and that uses the original high-fidelity model to guarantee unbiased estimates of the failure probability. The key property of our MMFIS estimator is that it can leverage multiple surrogate models for the construction of the biasing distribution, instead of a single surrogate model alone. We show that our MMFIS estimator has a mean-squared error that is up to a constant lower than the mean-squared errors of the corresponding estimators that uses any of the given surrogate models alone---even in settings where no information about the approximation qualities of the surrogate models is available. In particular, our MMFIS approach avoids the problem of selecting the surrogate model that leads to the estimator with the lowest mean-squared error, which is challenging if the approximation quality of the surrogate models is unknown. We demonstrate our MMFIS approach on numerical examples, where we achieve orders of magnitude speedups compared to using the high-fidelity model only. [ BibTeX ] @article{PKW16MixedMFIS, title = {Combining multiple surrogate models to accelerate failure probability estimation with expensive high-fidelity models}, author = {Peherstorfer, B. and Kramer, B. and Willcox, K.}, journal = {Journal of Computational Physics}, volume = {341}, pages = {61-75}, year = {2017}, } [ 10 ] Kramer, B., Peherstorfer, B. & Willcox, K. Feedback Control for Systems with Uncertain Parameters Using Online-Adaptive Reduced Models . SIAM Journal on Applied Dynamical Systems , 16 (3) :1563-1586 , 2017 . [ Abstract ] Abstract We consider control and stabilization for large-scale dynamical systems with uncertain, time-varying parameters. The time-critical task of controlling a dynamical system poses major challenges: Using large-scale models is prohibitive, and accurately inferring parameters can be expensive, too. We address both problems by proposing an offline-online strategy for controlling systems with time-varying parameters. During the offline phase, we use a high-fidelity model to compute a library of optimal feedback controller gains over a sampled set of parameter values. Then, during the online phase, in which the uncertain parameter changes over time, we learn a reduced-order model from system data. The learned reduced-order model is employed within an optimization routine to update the feedback control throughout the online phase. Since the system data naturally reflects the uncertain parameter, the data-driven updating of the controller gains is achieved without an explicit parameter estimation step. We consider two numerical test problems in the form of partial differential equations: a convection--diffusion system, and a model for flow through a porous medium. We demonstrate on those models that the proposed method successfully stabilizes the system model in the presence of process noise. [ BibTeX ] @article{KPW16ControlAdaptROM, title = {Feedback Control for Systems with Uncertain Parameters Using Online-Adaptive Reduced Models}, author = {Kramer, B. and Peherstorfer, B. and Willcox, K.}, journal = {SIAM Journal on Applied Dynamical Systems}, volume = {16}, number = {3}, pages = {1563-1586}, year = {2017}, } [ 11 ] Peherstorfer, B., Willcox, K. & Gunzburger, M. Optimal model management for multifidelity Monte Carlo estimation . SIAM Journal on Scientific Computing , 38 (5) :A3163-A3194 , 2016 . [ Abstract ] Abstract This work presents an optimal model management strategy that exploits multifidelity surrogate models to accelerate the estimation of statistics of outputs of computationally expensive high-fidelity models. Existing acceleration methods typically exploit a multilevel hierarchy of surrogate models that follow a known rate of error decay and computational costs; however, a general collection of surrogate models, which may include projection-based reduced models, data-fit models, support vector machines, and simplified-physics models, does not necessarily give rise to such a hierarchy. Our multifidelity approach provides a framework to combine an arbitrary number of surrogate models of any type. Instead of relying on error and cost rates, an optimization problem balances the number of model evaluations across the high-fidelity and surrogate models with respect to error and costs. We show that a unique analytic solution of the model management optimization problem exists under mild conditions on the models. Our multifidelity method makes occasional recourse to the high-fidelity model; in doing so it provides an unbiased estimator of the statistics of the high-fidelity model, even in the absence of error bounds and error estimators for the surrogate models. Numerical experiments with linear and nonlinear examples show that speedups by orders of magnitude are obtained compared to Monte Carlo estimation that invokes a single model only. [ BibTeX ] @article{Peherstorfer15Multi, title = {Optimal model management for multifidelity Monte Carlo estimation}, author = {Peherstorfer, B. and Willcox, K. and Gunzburger, M.}, journal = {SIAM Journal on Scientific Computing}, volume = {38}, number = {5}, pages = {A3163-A3194}, year = {2016}, } [ 12 ] Peherstorfer, B. & Willcox, K. Data-driven operator inference for nonintrusive projection-based model reduction . Computer Methods in Applied Mechanics and Engineering , 306 :196-215 , 2016 . [ Abstract ] Abstract This work presents a nonintrusive projection-based model reduction approach for full models based on time-dependent partial differential equations. Projection-based model reduction constructs the operators of a reduced model by projecting the equations of the full model onto a reduced space. Traditionally, this projection is intrusive, which means that the full-model operators are required either explicitly in an assembled form or implicitly through a routine that returns the action of the operators on a given vector; however, in many situations the full model is given as a black box that computes trajectories of the full-model states and outputs for given initial conditions and inputs, but does not provide the full-model operators. Our nonintrusive operator inference approach infers approximations of the reduced operators from the initial conditions, inputs, trajectories of the states, and outputs of the full model, without requiring the full-model operators. Our operator inference is applicable to full models that are linear in the state or have a low-order polynomial nonlinear term. The inferred operators are the solution of a least-squares problem and converge, with sufficient state trajectory data, in the Frobenius norm to the reduced operators that would be obtained via an intrusive projection of the full-model operators. Our numerical results demonstrate operator inference on a linear climate model and on a tubular reactor model with a polynomial nonlinear term of third order. [ BibTeX ] @article{Peherstorfer16DataDriven, title = {Data-driven operator inference for nonintrusive projection-based model reduction}, author = {Peherstorfer, B. and Willcox, K.}, journal = {Computer Methods in Applied Mechanics and Engineering}, volume = {306}, pages = {196-215}, year = {2016}, } [ 13 ] Peherstorfer, B. & Willcox, K. Dynamic data-driven model reduction: Adapting reduced models from incomplete data . Advanced Modeling and Simulation in Engineering Sciences , 3 (11) , 2016 . [ Abstract ] Abstract This work presents a data-driven online adaptive model reduction approach for systems that undergo dynamic changes. Classical model reduction constructs a reduced model of a large-scale system in an offline phase and then keeps the reduced model unchanged during the evaluations in an online phase; however, if the system changes online, the reduced model may fail to predict the behavior of the changed system. Rebuilding the reduced model from scratch is often too expensive in time-critical and real-time environments. We introduce a dynamic data-driven adaptation approach that adapts the reduced model from incomplete sensor data obtained from the system during the online computations. The updates to the reduced models are derived directly from the incomplete data, without recourse to the full model. Our adaptivity approach approximates the missing values in the incomplete sensor data with gappy proper orthogonal decomposition. These approximate data are then used to derive low-rank updates to the reduced basis and the reduced operators. In our numerical examples, incomplete data with 30-40 percent known values are sufficient to recover the reduced model that would be obtained via rebuilding from scratch. [ BibTeX ] @article{Peherstorfer16AdaptROM, title = {Dynamic data-driven model reduction: Adapting reduced models from incomplete data}, author = {Peherstorfer, B. and Willcox, K.}, journal = {Advanced Modeling and Simulation in Engineering Sciences}, volume = {3}, number = {11}, year = {2016}, } [ 14 ] Peherstorfer, B., Cui, T., Marzouk, Y. & Willcox, K. Multifidelity Importance Sampling . Computer Methods in Applied Mechanics and Engineering , 300 :490-509 , 2016 . [ Abstract ] Abstract Estimating statistics of model outputs with the Monte Carlo method often requires a large number of model evaluations. This leads to long runtimes if the model is expensive to evaluate. Importance sampling is one approach that can lead to a reduction in the number of model evaluations. Importance sampling uses a biasing distribution to sample the model more efficiently, but generating such a biasing distribution can be difficult and usually also requires model evaluations. A different strategy to speed up Monte Carlo sampling is to replace the computationally expensive high-fidelity model with a computationally cheap surrogate model; however, because the surrogate model outputs are only approximations of the high-fidelity model outputs, the estimate obtained using a surrogate model is in general biased with respect to the estimate obtained using the high-fidelity model. We introduce a multifidelity importance sampling (MFIS) method, which combines evaluations of both the high-fidelity and a surrogate model. It uses a surrogate model to facilitate the construction of the biasing distribution, but relies on a small number of evaluations of the high-fidelity model to derive an unbiased estimate of the statistics of interest. We prove that the MFIS estimate is unbiased even in the absence of accuracy guarantees on the surrogate model itself. The MFIS method can be used with any type of surrogate model, such as projection-based reduced-order models and data-fit models. Furthermore, the MFIS method is applicable to black-box models, i.e., where only inputs and the corresponding outputs of the high-fidelity and the surrogate model are available but not the details of the models themselves. We demonstrate on nonlinear and time-dependent problems that our MFIS method achieves speedups of up to several orders of magnitude compared to Monte Carlo with importance sampling that uses the high-fidelity model only. [ BibTeX ] @article{Peherstorfer16MFIS, title = {Multifidelity Importance Sampling}, author = {Peherstorfer, B. and Cui, T. and Marzouk, Y. and Willcox, K.}, journal = {Computer Methods in Applied Mechanics and Engineering}, volume = {300}, pages = {490-509}, year = {2016}, } [ 15 ] Peherstorfer, B. & Willcox, K. Online Adaptive Model Reduction for Nonlinear Systems via Low-Rank Updates . SIAM Journal on Scientific Computing , 37 (4) :A2123-A2150 , 2015 . [ Abstract ] Abstract This work presents a nonlinear model reduction approach for systems of equations stemming from the discretization of partial differential equations with nonlinear terms. Our approach constructs a reduced system with proper orthogonal decomposition and the discrete empirical interpolation method (DEIM); however, whereas classical DEIM derives a linear approximation of the nonlinear terms in a static DEIM space generated in an offline phase, our method adapts the DEIM space as the online calculation proceeds and thus provides a nonlinear approximation. The online adaptation uses new data to produce a reduced system that accurately approximates behavior not anticipated in the offline phase. These online data are obtained by querying the full-order system during the online phase, but only at a few selected components to guarantee a computationally efficient adaptation. Compared to the classical static approach, our online adaptive and nonlinear model reduction approach achieves accuracy improvements of up to three orders of magnitude in our numerical experiments with time-dependent and steady-state nonlinear problems. The examples also demonstrate that through adaptivity, our reduced systems provide valid approximations of the full-order systems outside of the parameter domains for which they were initially built in the offline phase. [ BibTeX ] @article{Peherstorfer15aDEIM, title = {Online Adaptive Model Reduction for Nonlinear Systems via Low-Rank Updates}, author = {Peherstorfer, B. and Willcox, K.}, journal = {SIAM Journal on Scientific Computing}, volume = {37}, number = {4}, pages = {A2123-A2150}, year = {2015}, } [ 16 ] Peherstorfer, B., Gmez, P. & Bungartz, H.J. Reduced Models for Sparse Grid Discretizations of the Multi-Asset Black-Scholes Equation . Advances in Computational Mathematics , 41 (5) :1365-1389 , 2015 . [ Abstract ] Abstract This work presents reduced models for pricing basket options with the Black-Scholes and the Heston model. Basket options lead to multi-dimensional partial differential equations (PDEs) that quickly become computationally infeasible to discretize on full tensor grids. We therefore rely on sparse grid discretizations of the PDEs, which allow us to cope with the curse of dimensionality to some extent. We then derive reduced models with proper orthogonal decomposition. Our numerical results with the Black-Scholes model show that sufficiently accurate results are achieved while gaining speedups between 80 and 160 compared to the high-fidelity sparse grid model for 2-, 3-, and 4-asset options. For the Heston model, results are presented for a single-asset option that leads to a two-dimensional pricing problem, where we achieve significant speedups with our model reduction approach based on high-fidelity sparse grid models. [ BibTeX ] @article{pehersto15BlackScholes, title = {Reduced Models for Sparse Grid Discretizations of the Multi-Asset Black-Scholes Equation}, author = {Peherstorfer, B. and Gmez, P. and Bungartz, H.J.}, journal = {Advances in Computational Mathematics}, volume = {41}, number = {5}, pages = {1365-1389}, year = {2015}, } [ 17 ] Peherstorfer, B. & Willcox, K. Dynamic Data-Driven Reduced-Order Models . Computer Methods in Applied Mechanics and Engineering , 291 :21-41 , 2015 . [ Abstract ] Abstract Data-driven model reduction constructs reduced-order models of large-scale systems by learning the system response characteristics from data. Existing methods build the reduced-order models in a computationally expensive offline phase and then use them in an online phase to provide fast predictions of the system. In cases where the underlying system properties are not static but undergo dynamic changes, repeating the offline phase after each system change to rebuild the reduced-order model from scratch forfeits the savings gained in the online phase. This paper proposes dynamic reduced-order models that break with this classical but rigid approach. Dynamic reduced-order models exploit the opportunity presented by dynamic sensor data and adaptively incorporate sensor data during the online phase. This permits online adaptation to system changes while circumventing the expensive rebuilding of the model. A computationally cheap adaptation is achieved by constructing low-rank updates to the reduced operators. With these updates and with sufficient and accurate data, our approach recovers the same model that would be obtained by rebuilding from scratch. We demonstrate dynamic reduced-order models on a structural assessment example in the context of real-time decision making. We consider a plate in bending where the dynamic reduced-order model quickly adapts to changes in structural properties and achieves speedups of four orders of magnitude compared to rebuilding a model from scratch. [ BibTeX ] @article{pehersto15dynamic, title = {Dynamic Data-Driven Reduced-Order Models}, author = {Peherstorfer, B. and Willcox, K.}, journal = {Computer Methods in Applied Mechanics and Engineering}, volume = {291}, pages = {21-41}, year = {2015}, } [ 18 ] Peherstorfer, B., Zimmer, S., Zenger, C. & Bungartz, H.J. A Multigrid Method for Adaptive Sparse Grids . SIAM Journal on Scientific Computing , 37 (5) :S51-S70 , 2015 . [ Abstract ] Abstract Sparse grids have become an important tool to reduce the number of degrees of freedom of discretizations of moderately high-dimensional partial differential equations; however, the reduction in degrees of freedom comes at the cost of an almost dense and unconventionally structured system of linear equations. To guarantee overall efficiency of the sparse grid approach, special linear solvers are required. We present a multigrid method that exploits the sparse grid structure to achieve an optimal runtime that scales linearly with the number of sparse grid points. Our approach is based on a novel decomposition of the right-hand sides of the coarse grid equations that leads to a reformulation in so-called auxiliary coefficients. With these auxiliary coefficients, the right-hand sides can be represented in a nodal point basis on low-dimensional full grids. Our proposed multigrid method directly operates in this auxiliary coefficient representation, circumventing most of the computationally cumbersome sparse grid structure. Numerical results on nonadaptive and spatially adaptive sparse grids confirm that the runtime of our method scales linearly with the number of sparse grid points and they indicate that the obtained convergence factors are bounded independently of the mesh width. [ BibTeX ] @article{peherstorfer15htmg, title = {A Multigrid Method for Adaptive Sparse Grids}, author = {Peherstorfer, B. and Zimmer, S. and Zenger, C. and Bungartz, H.J.}, journal = {SIAM Journal on Scientific Computing}, volume = {37}, number = {5}, pages = {S51--S70}, year = {2015}, } [ 19 ] Peherstorfer, B., Butnaru, D., Willcox, K. & Bungartz, H.J. Localized Discrete Empirical Interpolation Method . SIAM Journal on Scientific Computing , 36 (1) :A168-A192 , 2014 . [ Abstract ] Abstract This paper presents a new approach to construct more efficient reduced-order models for nonlinear partial differential equations with proper orthogonal decomposition and the discrete empirical interpolation method (DEIM). Whereas DEIM projects the nonlinear term onto one global subspace, our localized discrete empirical interpolation method (LDEIM) computes several local subspaces, each tailored to a particular region of characteristic system behavior. Then, depending on the current state of the system, LDEIM selects an appropriate local subspace for the approximation of the nonlinear term. In this way, the dimensions of the local DEIM subspaces, and thus the computational costs, remain low even though the system might exhibit a wide range of behaviors as it passes through different regimes. LDEIM uses machine learning methods in the offline computational phase to discover these regions via clustering. Local DEIM approximations are then computed for each cluster. In the online computational phase, machine-learning-based classification procedures select one of these local subspaces adaptively as the computation proceeds. The classification can be achieved using either the system parameters or a low-dimensional representation of the current state of the system obtained via feature extraction. The LDEIM approach is demonstrated for a reacting flow example of an H_2-Air flame. In this example, where the system state has a strong nonlinear dependence on the parameters, the LDEIM provides speedups of two orders of magnitude over standard DEIM. [ BibTeX ] @article{peherstorfer13localized, title = {Localized Discrete Empirical Interpolation Method}, author = {Peherstorfer, B. and Butnaru, D. and Willcox, K. and Bungartz, H.J.}, journal = {SIAM Journal on Scientific Computing}, volume = {36}, number = {1}, pages = {A168-A192}, year = {2014}, } [ 20 ] Peherstorfer, B., Kowitz, C., Pflger, D. & Bungartz, H.J. Selected Recent Applications of Sparse Grids . Numerical Mathematics: Theory, Methods and Applications , 8 (1) :47-77 , 2014 . [ Abstract ] Abstract Sparse grids have become a versatile tool for a vast range of applications reaching from interpolation and numerical quadrature to data-driven problems and uncertainty quantification. We review four selected real-world applications of sparse grids: financial product pricing with the Black-Scholes model, interactive exploration of simulation data with sparse-grid-based surrogate models, analysis of simulation data through sparse grid data mining methods, and stability investigations of plasma turbulence simulations. [ BibTeX ] @article{Peherstorfer14SGReview, title = {Selected Recent Applications of Sparse Grids}, author = {Peherstorfer, B. and Kowitz, C. and Pflger, D. and Bungartz, H.J.}, journal = {Numerical Mathematics: Theory, Methods and Applications}, volume = {8}, number = {1}, pages = {47-77}, year = {2014}, } [ 21 ] Pflger, D., Peherstorfer, B. & Bungartz, H.J. Spatially adaptive sparse grids for high-dimensional data-driven problems . Journal of Complexity , 26 (5) :508-522 , 2010 . [ Abstract ] Abstract Sparse grids allow one to employ grid-based discretization methods in data-driven problems. We present an extension of the classical sparse grid approach that allows us to tackle high-dimensional problems by spatially adaptive refinement, modified ansatz functions, and efficient regularization techniques. The competitiveness of this method is shown for typical benchmark problems with up to 166 dimensions for classification in data mining, pointing out properties of sparse grids in this context. To gain insight into the adaptive refinement and to examine the scope for further improvements, the approximation of non-smooth indicator functions with adaptive sparse grids has been studied as a model problem. As an example for an improved adaptive grid refinement, we present results for an edge-detection strategy. [ BibTeX ] @article{pflueger10spatially, title = {Spatially adaptive sparse grids for high-dimensional data-driven problems}, author = {Pflger, D. and Peherstorfer, B. and Bungartz, H.J.}, journal = {Journal of Complexity}, volume = {26}, number = {5}, pages = {508-522}, year = {2010}, } Full list Five recent talks [ 1 ] Peherstorfer, B. A Multifidelity Cross-Entropy Method for Rare Event Simulation . In SIAM Uncertainty Quantification 2018 , Garden Grove, CA , 2018 . [ 2 ] Peherstorfer, B. Data-Driven Multifidelity Methods for Monte Carlo Estimation . In Model Reduction of Parametrized Systems (MoRePaS) IV , Nantes, France , 2018 . [ 3 ] Peherstorfer, B. Multifidelity Monte Carlo estimation with adaptive low-fidelity models . In Reducing dimensions and cost for UQ in complex systems, Isaac Newton Institute for Mathematical Sciences , Cambridge, UK , 2018 . [ 4 ] Peherstorfer, B. Multifidelity methods for rare event simulation . In European Numerical Mathematics and Advanced Applications (ENUMATH) , Bergen, Norway , 2017 . [ 5 ] Peherstorfer, B. Optimal low-rank updates for online adaptive model reduction with the discrete empirical interpolation method . In Householder Symposium XX on Numerical Linear Algebra , Blacksburg, USA , 2017 . Full list diff --git a/src/data/compiled_bios/3205.txt b/src/data/compiled_bios/3205.txt new file mode 100644 index 0000000000..38fc2551aa --- /dev/null +++ b/src/data/compiled_bios/3205.txt @@ -0,0 +1 @@ + COMPILE THIS: main(k){float i,j,r,x,y=-16;while(puts(""),y++<15)for(x =0;x++<84;putchar(" .:-;!/>)|&IH%*#"[k&15]))for(i=k=r=0; j=r*r-i*i-2+x/25,i=2*r*i+y/10,j*j+i*i<11&&k++<111;r=j);} ( YOU CAN RUN THE ABOVE CODE WITH codepad ) GOOGLE Ken Perlin Professor of Computer Science NYU Future Reality Lab FRLSLACK 60 Fifth Ave, 3rd floor, ROOMS NY, NY 10003 Member of MAGNET email: last name at cs dot nyu dot edu start-ups: tactonic holojam parallux blog: blog.kenperlin.com vita , bio , courses , alligators A. M. P. A. S. ``Que no seja Imortal, posto que Chama. Mas que seja Infinito enquanto dure...'' SOME TOYS FROM THE BLOG: OTHER EXPERIMENTS: If the Java applets below don't run, try this: Download the latest Java runtime by clicking here ; Add this site as a "trusted site" to your computer by following these instructions . actors critters crowds design device games glop ideas image pads pen input people robots shape table top texture worlds xyz COURSE PAGES: Spring 2019 Special Topics: Computer Graphics Spring 2018 Undergraduate Computer Graphics Fall 2017 Advanced Computer Graphics Spring 2017 Undergraduate Computer Graphics Fall 2016 Graduate Computer Graphics Spring 2016 Undergraduate Computer Graphics Fall 2015 Graduate Computer Graphics Spring 2015 Graduate Computer Graphics Fall 2014 Undergraduate Computer Graphics Fall 2013 Graduate Computer Graphics Spring 2013 Graduate Computer Graphics Fall 2012 Graduate Computer Games Spring 2012 Graduate Computer Graphics Fall 2011 Intro to Computer Science, CSCI-UA.0101-003 Spring 2011 Intro to Computer Science, V22.0101 Fall 2010 Computer Games (Graduate level) Fall 2009 Computer Games (Graduate level) Spring 2009 Introduction to Computer Graphics (Undergraduate) Fall 2008 Computer Games (Graduate level) Spring 2008 Introduction to Computer Graphics (Undergraduate) Fall 2007 Computer Games (Graduate level) Fall 2007 Graduate Computer Graphics Spring 2007 User Interfaces (Graduate) Fall 2006 Graduate Multimedia Fall 2006 Graduate Computer Graphics Spring 2006 Physical Media (Graduate) Fall 2005 Undergraduate Computer Graphics Fall 2005 Graduate Multimedia Spring 2005 Advanced Topics in Multimedia Fall 2004 Undergraduate Computer Graphics Fall 2004 Graduate Computer Graphics Fall 2003 Undergraduate Computer Graphics Fall 2003 Graduate Computer Graphics Spring 2003 Advanced Topics in Multimedia Fall 2002 Undergraduate Computer Graphics Fall 2002 Graduate Computer Graphics Fall 2001 Topics in Multimedia Spring 2001 Multimedia for Majors (Ugrad) Spring 2001 Special Topics in Multimedia (Grad) Fall 2000 Graduate Computer Graphics Fall 99 Advanced Topics in Multimedia Spring 99 Undergraduate Computer Graphics Fall 98 Readings/Advanced Topics in Multimedia Spring 98 Graduate Computer Graphics Spring 98 Improv Projects Fall 97 Graduate Advanced Computer Graphics Actor Machine diff --git a/src/data/compiled_bios/3206.txt b/src/data/compiled_bios/3206.txt new file mode 100644 index 0000000000..a2b923fd3d --- /dev/null +++ b/src/data/compiled_bios/3206.txt @@ -0,0 +1 @@ + Rajesh Ranganath About Papers Teaching Contact About I am an Assistant Professor at the Courant Institute at NYU in Computer Science and at the Center for Data Science (affiliate). I am also part of the CILVR group. My research interests center on easy-to-use probablistic inference, understanding the role of randomness and information in model building, and machine learning for healthcare. Before joining NYU, I completed my PhD at Princeton working with Dave Blei and my undergraduate at Stanford both in computer science. I have also spent time as a research affiliate at MITs Institute for Medical Engineering and Science. Papers Identifying potentially induced seismicity and assessing statistical significance in Oklahoma and California. Mark McClure, Riley Gibson, KitKwan Chiu, and Rajesh Ranganath. Journal of Geophysical Research: Solid Earth 2017. [html] Variational Inference via Chi Upper Bound Minimization. Adji Bousso Dieng, Dustin Tran, Rajesh Ranganath, John Paisley, and David M. Blei. NIPS 2017. [pdf] Hierarchical Implicit Models and Likelihood-Free Variational Inference. Dustin Tran, Rajesh Ranganath, and David M. Blei. NIPS 2017. [pdf] Correlated Random Measures. Rajesh Ranganath and David M. Blei. JASA 2017. [fulltext] [arxiv] Automatic Differentiation Variational Inference. Alp Kucukelbir, Dustin Tran, Rajesh Ranganath, Andrew Gelman, and David M. Blei. JMLR 2017. [pdf] Operator Variational Inference. Rajesh Ranganath, Jaan Altosaar, Dustin Tran, and David M. Blei. NIPS 2016. [pdf] Deep Survival Analysis. Rajesh Ranganath, Adler Perotte, Noemie Elhadad, and David M. Blei. MLHC 2016. [pdf] Hierarchical Variational Models. Rajesh Ranganath, Dustin Tran, and David M. Blei. ICML 2016. [pdf] Variational Tempering. Stephan Mandt, James McInerney, Farhan Abrol, Rajesh Ranganath, and David M. Blei. AISTATS 2016. [pdf] The Variational Gaussian Process. Dustin Tran, Rajesh Ranganath, and David M. Blei. ICLR 2016. [pdf] The Population Posterior and Bayesian Modeling on Streams. James McInerney, Rajesh Ranganath, and David M. Blei. NIPS 2015. [pdf] Automatic Variational Inference in Stan. Alp Kucukelbir, Rajesh Ranganath, Andrew Gelman, and David M. Blei. NIPS 2015. [pdf] Dynamic Poisson Factorization. Laurent Charlin, Rajesh Ranganath, James McInerney, and David M. Blei. RecSys 2015. [pdf] The Survival Filter: Joint Survival Analysis with a Latent Time Series. Rajesh Ranganath, Adler Perotte, Noemie Elhadad, and David M. Blei. UAI 2015. [pdf] Risk Prediction for Chronic Kidney Disease Progression Using Heterogeneous Electronic Health Record Data and Time Series Analysis. Adler Perotte, Rajesh Ranganath, Jamie Hirsch, David M. Blei, and Noemie Elhadad. JAMIA 2015. [html] Deep Exponential Families. Rajesh Ranganath, Linpeng Tang, Laurent Charlin, and David M.Blei. AISTATS 2015. [pdf] [supplement] Hierarchical Topographic Factor Analysis. Jeremy R. Manning, Rajesh Ranganath, Waitsang Keung, Nicholas B. Turk-Browne, Jonathan D. Cohen, Kenneth A. Norman, and David M. Blei. IEEE Xplore, 4th International Workshop on Pattern Recognition in Neuroimaging. [pdf] Bayesian nonparametric Poisson factorization for recommendation systems. Prem Gopalan, Francisco JR Ruiz, Rajesh Ranganath, and David M. Blei. AISTATS 2014. [pdf] Black Box Variational Inference. Rajesh Ranganath, Sean Gerrish, and David M. Blei. AISTATS 2014. [pdf] [supplement] Topographic Factor Analysis: a Bayesian model for inferring brain networks from neural data. Jeremy R. Manning, Rajesh Ranganath, Kenneth A. Norman, and David M. Blei. Plos One 9(5) 2014. [pdf] An Adaptive Learning Rate for Stochastic Variational Inference. Rajesh Ranganath, Chong Wang, David M. Blei, and Eric P. Xing. ICML 2013. [pdf] Detecting friendly, flirtatious, awkward, and assertive speech in speed-dates. Rajesh Ranganath, Dan Jurafsky, and Daniel A. McFarland. Computer Speech and Language. vol. 27, no. 1, pp. 89-115, 2013, doi:10.1016/j.csl.2012.01.00. [fulltext] Unsupervised Learning of Hierarchical Representations with Convolutional Deep Belief Networks. Honglak Lee, Roger Grosse, Rajesh Ranganath, and Andrew Y. Ng. Communications of the ACM, vol. 54, no. 10, pp. 95-103, 2011. (Research Highlights) [pdf] Its Not You, its Me: Detecting Flirting and its Misperception in Speed-Dates. Rajesh Ranganath, Dan Jurafsky, and Dan McFarland. EMNLP 2009 [pdf] Extracting Social Meaning: Identifying Interactional Style in Spoken Conversation. Dan Jurafsky, Rajesh Ranganath, and Dan McFarland. NAACL HLT 2009 (Research Highlights) [pdf] Convolutional deep belief networks for scalable unsupervised learning of hierarchical representations. Honglak Lee, Roger Grosse, Rajesh Ranganath and Andrew Y. Ng. ICML 2009 (Best paper award: Best application paper) [pdf] Teaching Deep Generative Models , Spring 2018 Contact NYU Courant Institute of Mathematical Science Computer Science 60 Fifth Ave New York, NY 10011 rajeshr at cims dot nyu dot edu diff --git a/src/data/compiled_bios/3207.txt b/src/data/compiled_bios/3207.txt new file mode 100644 index 0000000000..16317cc49c --- /dev/null +++ b/src/data/compiled_bios/3207.txt @@ -0,0 +1 @@ + Home Class Websites About Research Interests Publications Students and Staff News & Events Quick Links Biography Prospective Students WICAT and NYU Wireless Department of Electrical and Computer Engineering WICAT and NYU Wireless RFIC Laboratory Photos Theodore (Ted) S. Rappaport is the David Lee/Ernst Weber Chaired Professor of Electrical Engineering at the Polytechnic Institute of New York University (NYU-Poly) and is a Professor of Computer Science at New York University's Courant Institute of Mathematical Sciences . He is also a Professor of Radiology at the NYU Langone Medical College . For his recent biography click here . For his research interests click here . To reach Prof. Rappaport, please contact his Administrative Assistant at NYU, Leslie Cerve, by phone at (212) 998-3026 or by email at cerve@cs.nyu.edu OR contact his Administrative Assistant at NYU-POLY,Valarie Davis, by phone at (718) 260-3931 or by email at vdavis@poly.edu Prentice Hall Book Series Professor Ted Rappaport is in search of prospective authors for the Prentice Hall PTR "Communications Engineering and Emerging Technologies" book series . Click here for more information. Current Research Recent Research Results on 60 GHz Radio Wave Propagation in and around Buildings, On-Chip antennas in CMOS, RF Channel Sounding, and Network Management Recent 60 GHz and Millimeter Wave Publications J. Murdock, E. Ben-Dor, F. Gutierrez, Jr., T.S. Rappaport, "Challenges and Approaches to On-chip Millimeter Wave Antenna Measurements," to appear n the "2011 IEEE MTT-S International Microwave Symposium (IMS)", Baltimore, MD, June 5-10. Full Citation T.S. Rappaport, J.Murdock, F.Gutierrez, Jr., "State of the Art in 60-GHz Integrated Circuits and Systems for Wireless Communications," Proceedings of the IEEE , vol. 99, no.8, pp.1390-1436, Aug. 2011. R. C. Daniels, J. N. Murdock, T. S. Rappaport, R. W. Heath, "60 GHz Wireless: Up Close and Personal," IEEE Microwave Magazine, Vol. 11, No. 7, December 2010, pp.44-50. view F. Gutierrez, T. S. Rappaport, J. Murdock, "Millimeter-Wave CMOS Antennas and RFIC Parameter Extraction for Vehicular Applications," IEEE 72nd Vehicular Technology Conference Fall (VTC), Ottawa, Canada, Sept. 6-9, 2010, pp.1-6. view F. Gutierrez, K. Parrish, T. S. Rappaport, "On-Chip Integrated Antenna Structures in CMOS for 60 GHz WPAN Systems," Proceedings of IEEE Global Communications Conference (Globecom) , Honolulu, HI, November 30-December 4, 2009. Full Citation T. S. Rappaport, F. Gutierrez, T. Al-Attar, "Millimeter-Wave and Terahertz Wireless RFIC and On-Chip Antenna Design: Tools and Layout Techniques," Proceedings of IEEE First Workshop on Millimeter Wave and Terahertz Communications, in conjunction with IEEE Global Communications Conference (Globecom) , Honolulu, HI, November 30-December 4, 2009. Full Citation F. Gutierrez, K. Parrish, T. S. Rappaport, "On-Chip Integrated Antenna Structures in CMOS for 60 GHz WPAN Systems," IEEE Journal on Selected Areas in Communications , Vol. 27, Issue 8, October 2009, pp.1367-1378. Full Citation J. K. Chen, G. de Veciana, T. S. Rappaport, "Site Specific Knowledge and Interference Measurement for Improving Frequency Allocations in Wireless Networks," IEEE Transactions on Vehicular Technology , Vol. 58, Issue 5, June 2009, pp. 2366-2377. Full Citation L. Ragan, A. Hassibi, T. S. Rappaport, C. L. Christianson, "Novel On-Chip Antenna Structures and Frequency Selective Surface (FSS) Approaches for Millimeter Wave Devices," IEEE 66th Vehicular Technology Conference (VTC) , Baltimore, MD, Oct. 1-3, 2007, pp. 2051-2055. Full Citation C. H. Park, T. S. Rappaport, "Short-Range Wireless Communications for Next-Generation Networks: UWB, 60 GHz Millimeter Wave PAN, and Zigbee," IEEE Wireless Communications Magazine , Vol. 14, Issue 4, August 2007, pp. 70-78. Full Citation C. Na, J. K. Chen, T. S. Rappaport, "Measured Traffic Statistics and Throughput of IEEE 802.11b Public WLAN Hotspots with Three Different Applications," IEEE Transactions on Wireless Communication , Vol. 5, No. 11, November 2006, pp. 3296-3305. Full Citation H. Wang and T. S. Rappaport, "A Parametric Formulation of the UTD Diffraction Coefficient for Real-Time Propagation Prediction Modeling," IEEE Antennas and Wireless Propagation Letters (AWPL) , Vol. 4, August 2005, pp. 253-257. Full Citation C. Na, J. K. Chen, T. S. Rappaport, "Hotspot Traffic Statistics and Throughput Models for Several Applications", Proceedings of IEEE Global Telecommunications Conference (Globecom) 2004 , Dallas, TX, November 29-December 3, 2004, Vol. 5, pp. 3257-3263. Full Citation C. R. Anderson and T. S. Rappaport, "In-Building Wideband Partition Loss Measurements at 2.5 and 60 GHz," IEEE Transactions on Wireless Communications , Vol. 3, No. 3, May 2004, pp. 922-928. Full Citation C. R. Anderson, T. S. Rappaport, K. Bae, A. Verstak, N. Ramakrishnan, W. H. Tranter, C. A. Shaffer, L. T. Watson, "In-Building Wideband Multipath Characteristics at 2.5 & 60 GHz," Proceedings of Fall 2002 Vehicular Technology Conference , Vancouver, Canada, September 24-29, 2002, pp.97-101. Full Citation H. Xu, V. Kukshya, T. S. Rappaport, "Spatial and Temporal Characteristics of 60 GHz Indoor Channels," IEEE Journal on Selected Areas in Communications , Vol. 20, No. 3, April 2002, pp. 620-630. Full Citation H. Xu, T. S. Rappaport, V. Kukshya, "Spatial and Temporal Characterization of 60 GHz Indoor Channels," Fall 2000 IEEE Vehicular Technology Conference , Boston, MA, September 25-28, 2000, pp. 620-630. Full Citation H. Xu, R. J. Boyle, T. S. Rappaport, J. H. Schaffner, "Measurements and Models for 38 GHz Point-to-Multipoint Radiowave Propagation," IEEE Journal on Selected Areas in Communications: Wireless Communications Series , Vol. 18, No. 3, March 2000, pp. 310-321. Full Citation 60GHz RFIC Design Initiative: Topics include: Propagation, PHY, MAC, Systems and Standards Click here for a list of papers and discussions on 60GHz RFIC Design Initiative On-Chip Antenna Research Initiative: Click here for our ideas for on-chip antennas and Frequency Selective Surfaces ARL RFIC Research Project: "Massively Broadband Wireless Ad-Hoc Nodes" Montage Joint Research with Virginia Tech on the Montage Project: "Montage: An Integrated End-to-End Design and Development Framework for Wireless Networks" Topics of National Interest Virginia's Broadband Roundtable for Rural Internet Access Virginia's Broadband Roundtable Findings Final Report: Commonwealth of Virginia's Broadband Roundtable 2006 NAE Offshoring of Engineering Conference "Offshoring in the U.S. Telecommunications Industry" Dr. Rappaport's Presentation Slides Dr. Rappaport's Research Database Renewing U.S. Telecommunications Research - CSTB Publications Article in Business Week, "The Real Problem with Outsourcing" - November 7, 2006. Professor Rappaport in the News September 2011 UT ECE professorTed Rappaporthas been named the recipient of the 2011 IET Sir Monty Finniston Award for Achievement in Engineering and Technology. He will receive the award,which includes a medal, at a ceremony to be held in Londonon Nov. 9, 2011. View the announcement from the ECE Department and . December 2010 IEEE 2010 Globecom Plenary Talk, December 8, 2010: " The Future of Wireless " IEEE 2010 Globecom Technical and Business Forum, December 9, 2010: Broadband Wireless PANs, 60 GHz and Beyond April 2010 Prof. Rappaport awarded the Joe J. King Professional Engineering Achievement Award in recognition of significant contributions in furthering the engineering profession. View the announcement from the ECE department and WNCG . December 2008 Prof. Rappaport awarded the IEEE Communications Society WTC Recognition Award, in recognition of outstanding achievements and contributions in the area of wireless communications systems and networks. View the announcement from the ECE department . October 2008 Prof. Rappaport awarded the Austin Wireless Alliance Industry Leader award at the 2008 Texas Wireless Summit. September 2008 Prof. Rappaport elected to serve on the IEEE Board of Governors for the Vehicular Technology Society for 2009-2011. View the announcements from the ECE department . News Archives Prentice Hall Wireless Communications: Principles & Practice, 2nd Edition Website Available The official website for the 2nd edition of Wireless Communications: Principles & Practice is available at http://authors.phptr.com/rappaport . The site includes helpful supplemental downloads for course instructors. 2002-2012 The Wireless Internet Center for Advanced Technologies (WICAT and NYU Wireless) All rights reserved. Please read our Copyright, Trademark and Disclaimer Notices . Contact Webmaster diff --git a/src/data/compiled_bios/3208.txt b/src/data/compiled_bios/3208.txt new file mode 100644 index 0000000000..315cd73045 --- /dev/null +++ b/src/data/compiled_bios/3208.txt @@ -0,0 +1 @@ + Oded Regev About: I am a member of Courant's Theoretical Computer Science Group . My work is in the areas of cryptography, quantum computation, and complexity theory. A main focus of my research is on lattice-based cryptography, and specifically the Learning With Errors problem. For several years I am most interested in deciphering the pre-mRNA splicing code and involved in the developement of antisense drugs . Short Bio Contact: Courant Institute of Mathematical Sciences New York University 251 Mercer Street New York, NY 10012 Office: WWH 303 (251 Mercer St) Tel: +1-(212)-998-3771 lstnam cims dt nyu dt edu Organizing: TCS+ , an online seminar series in theoretical computer science, accessible to the widest possible audience, and ensuring a carbon-free dissemination of ideas across the globe. Positions available: Postdoc positions in areas related to geometry and algorithms are available. Candidates with a strong publication record should contact me (ideally as early as July). I do not have any internships to offer. Currently teaching: Introduction to Cryptography , Fall 2018 Students: Ph.D.: Shravas Rao (2018) Alexander Golovnev (2017, joint with Yevgeniy Dodis) Noah Stephens-Davidowitz (2017, joint with Yevgeniy Dodis) Klim Efremenko (2012, joint with Amnon Ta-Shma) Ishay Haviv (2011) Avi Ben-Aroya (2011, joint with Amnon Ta-Shma) Iftah Gamzu (2010, joint with Yossi Azar) Ricky Rosen (2010, joint with Ran Raz) M.Sc.: Guy Moshkovitz (2011) Michal Moshkovitz (2010, joint with Amir Shpilka) Liron Schiff (2008) Lior Eldar (2008) Ishay Haviv (2006) Ricky Rosen (2005) Postdocs: Young Kun Ko , joint with Subhash Khot (Ph.D. 2018, Princeton) Euiwoong Lee , joint with Subhash Khot (Ph.D. 2017, CMU) Omri Weinstein (Ph.D. 2015, Princeton; assistant professor, Columbia) Aravindan Vijayaraghavan (Ph.D. 2013, Princeton; assistant professor, Northwestern) Anindya De (Ph.D. 2013, UC Berkeley; assistant professor, Northwestern) Jop Brit , joint with Assaf Naor (Ph.D. 2011, CWI, Amsterdam; researcher, CWI, Amsterdam) Daniel Dadush , joint with Assaf Naor (Ph.D. 2012, Georgia Tech; researcher, CWI, Amsterdam) Divesh Aggarwal , joint with Yevgeniy Dodis (Ph.D. 2012, ETH Zurich; assistant professor, NUS) Vadim Lyubashevsky (Ph.D. 2008, UC San Diego; researcher in IBM Zurich) Dan Gutfreund (Ph.D. 2005, Hebrew University; researcher in IBM Cambridge) Professional activities: Theory of Computing (Associate Editor-in-Chief) STOC 2004 , CCC 2005 , TCC 2007 , ANTS 2008 , STOC 2008 , CCC 2009 , STOC 2010 , STOC 2012 Publications ( BibTex ): On Learning Mixtures of Well-Separated Gaussians ( link ) Oded Regev, Aravindan Vijayaraghavan FOCS 2017. A Sharp Tail Bound for the Expander Random Sampler ( link ) Shravas Rao , Oded Regev Submitted. Kneser graphs are like Swiss cheese ( link ) Ehud Friedgut , Oded Regev Discrete Analysis . A counterexample to a strong variant of the Polynomial Freiman-Ruzsa conjecture in Euclidean space ( link ) Shachar Lovett , Oded Regev Discrete Analysis . Pseudorandomness of Ring-LWE for Any Ring and Modulus ( link ) Chris Peikert , Oded Regev, Noah Stephens-Davidowitz STOC 2017. A Reverse Minkowski Theorem ( link ) Oded Regev, Noah Stephens-Davidowitz STOC 2017. A Note on Koldobsky's Lattice Slicing Inequality ( link ) Oded Regev Preprint. The Minrank of Random Graphs ( link ) Alexander Golovnev , Oded Regev, Omri Weinstein RANDOM 2017. Towards Strong Reverse Minkowski-type Inequalities for Lattices ( link ) Daniel Dadush , Oded Regev FOCS 2016. Counterexamples to a conjecture of Woods ( link ) Oded Regev, Uri Shapira , Barak Weiss Duke J Math. On the Space Complexity of Linear Programming with Preprocessing ( link ) Yael Tauman Kalai , Ran Raz , Oded Regev ITCS 2016. Efficient Quantum Algorithms for (Gapped) Group Testing and Junta Testing ( link ) Andris Ambainis , Alexander Belov , Oded Regev, Ronald de Wolf SODA 2016. The Restricted Isometry Property of Subsampled Fourier Matrices ( link ) Ishay Haviv , Oded Regev SODA 2016. A Counterexample to Monotonicity of Relative Mass in Random Walks ( link ) Oded Regev, Igor Shinkar Electronic Communications in Probability. Beating the random assignment on constraint satisfaction problems of bounded degree ( link ) Boaz Barak , Ankur Moitra , Ryan O'Donnell , Prasad Raghavendra , Oded Regev, David Steurer , Luca Trevisan , Aravindan Vijayaraghavan , David Witmer , John Wright APPROX 2015. Recovering Short Generators of Principal Ideals in Cyclotomic Rings ( link ) Ronald Cramer , Lo Ducas , Chris Peikert , Oded Regev EUROCRYPT 2016. An Inequality for Gaussians on Lattices ( link ) Oded Regev, Noah Stephens-Davidowitz SIAM Journal on Discrete Mathematics. Tight Hardness of the Non-commutative Grothendieck Problem ( link ) Jop Brit , Oded Regev, Rishi Saket FOCS 2015. Solving the Shortest Vector Problem in 2^n Time via Discrete Gaussian Sampling ( link ) Divesh Aggarwal , Daniel Dadush , Oded Regev, Noah Stephens-Davidowitz STOC 2015. The List-Decoding Size of Fourier-Sparse Boolean Functions ( link ) Ishay Haviv , Oded Regev CCC 2015. On the Closest Vector Problem with a Distance Guarantee ( link ) Daniel Dadush , Oded Regev, Noah Stephens-Davidowitz CCC 2014. On the Lattice Isomorphism Problem ( link ) Ishay Haviv , Oded Regev SODA 2014. A Note on Discrete Gaussian Combinations of Lattice Vectors ( link ) Divesh Aggarwal , Oded Regev Submitted. Classical Hardness of Learning with Errors ( link ) Zvika Brakerski , Adeline Langlois , Chris Peikert , Oded Regev, Damien Stehl STOC 2013. A Toolkit for Ring-LWE Cryptography ( link ) Vadim Lyubashevsky , Chris Peikert , Oded Regev Eurocrypt 2013. Efficient rounding for the noncommutative Grothendieck inequality ( link ) Assaf Naor , Oded Regev, and Thomas Vidick STOC 2013. Locally decodable codes and the failure of cotype for projective tensor products ( link ) Jop Brit , Assaf Naor , Oded Regev Electronic Research Announcements in Mathematical Sciences 19 (2012) 120--130. Quantum XOR Games ( link ) Thomas Vidick , Oded Regev CCC 2013. Elementary Proofs of Grothendieck Theorems for Completely Bounded Norms ( link ) Thomas Vidick , Oded Regev Journal of Operator Theory. Krivine schemes are optimal ( link ) Assaf Naor , Oded Regev Proceedings of the AMS. Entropy-based Bounds on Dimension Reduction in L 1 ( link ) Oded Regev Israel Journal of Mathematics. Bell Violations through Independent Bases Games ( link ) Oded Regev Quantum Information and Computation. Near-Optimal and Explicit Bell Inequality Violations ( link ) Harry Buhrman , Oded Regev, Giannicola Scarpa, Ronald de Wolf CCC 2011. Quantum One-Way Communication can be Exponentially Stronger Than Classical Communication ( link , pptx ) Bo'az Klartag , Oded Regev STOC 2011. An Optimal Lower Bound on the Communication Complexity of Gap-Hamming-Distance ( link , pptx ) Amit Chakrabarti , Oded Regev STOC 2011. The Learning with Errors Problem ( pdf , ppt ) Oded Regev Invited survey in CCC 2010. Lattice Enumeration using Extreme Pruning Nicolas Gama , Phong Q. Nguyen , Oded Regev Eurocrypt 2010. On Ideal Lattices and Learning with Errors Over Rings ( pdf , link ) Vadim Lyubashevsky , Chris Peikert , Oded Regev Eurocrypt 2010. The Euclidean Distortion of Flat Tori ( pdf ) Ishay Haviv , Oded Regev APPROX 2010. No Strong Parallel Repetition with Entangled and Non-signaling Provers ( link ) Julia Kempe , Oded Regev CCC 2010. Simultaneous Communication Protocols with Quantum and Classical Messages ( pdf ) Dmitry Gavinsky , Oded Regev, Ronald de Wolf Chicago Journal of Theoretical Computer Science 2008:7. Lattice-based Cryptography ( pdf ) Daniele Micciancio , Oded Regev Book chapter in Post-quantum Cryptography , D. J. Bernstein and J. Buchmann (eds.), Springer (2008). Rounding Parallel Repetitions of Unique Games Boaz Barak , Moritz Hardt , Ishay Haviv , Anup Rao , Oded Regev, David Steurer Proc. of FOCS 2008. Impossibility of a Quantum Speed-up with a Faulty Oracle ( pdf ) Oded Regev, Liron Schiff Proc. of ICALP 2008. Quantum SAT for a qutrit-cinquit pair is QMA 1 -complete Lior Eldar, Oded Regev Proc. of ICALP 2008. Upper Bounds on the Noise Threshold for Fault-tolerant Quantum Computing ( link ) Julia Kempe , Oded Regev, Falk Unger , Ronald de Wolf Quantum Information and Computation 10(5), 361-376, 2010. Preliminary version in Proc. of ICALP 2008. Unique Games with Entangled Provers are Easy ( link , ppt ) Julia Kempe , Oded Regev, Ben Toner SIAM Journal on Computing 39(7), pp. 3207--3229, 2010. Preliminary version in Proc. of FOCS 2008. A Hypercontractive Inequality for Matrix-Valued Functions with Applications to Quantum Computing ( link , ppt ) Avi Ben-Aroya , Oded Regev, Ronald de Wolf Proc. of FOCS 2008. Simulating Quantum Correlations with Finite Communication ( link , ppt ) Oded Regev, Ben Toner SIAM Journal on Computing 39(4), pp. 1562--1580, 2009. Preliminary version in Proc. of FOCS 2007. On the Complexity of Lattice Problems with Polynomial Approximation Factors ( ps , pdf ) Oded Regev Survey paper prepared for the LLL+25 conference . Appears in this book . Tensor-based Hardness of the Shortest Vector Problem to within Almost Polynomial Factors ( link ) Ishay Haviv , Oded Regev Theory of Computing 8(23), pp. 513-531, 2012. Preliminary version in STOC 2007. Lattice-based Cryptography ( ps , pdf , ppt ) Oded Regev Tutorial given in CRYPTO 2006. Independent Sets in Graph Powers are Almost Contained in Juntas ( ps , pdf ) Irit Dinur , Ehud Friedgut , Oded Regev GAFA 18(1) pp. 77-97, 2008. Learning a Parallelepiped: Cryptanalysis of GGH and NTRU Signatures ( pdf , ppt ) Phong Q. Nguyen , Oded Regev Eurocrypt 2006. On the Hardness of Satisfiability with Bounded Occurrences in the Polynomial-Time Hierarchy ( ps , pdf ) Ishay Haviv , Oded Regev, Amnon Ta-Shma Theory of Computing 3(3), pp. 45-60, 2007 . A Note on the Distribution of the Distance from a Lattice ( pdf ) Ishay Haviv , Vadim Lyubashevsky , Oded Regev Discrete and Computational Geometry. Hardness of the Covering Radius Problem on Lattices ( ps , pdf , link ) Ishay Haviv , Oded Regev Chicago Journal of Theoretical Computer Science. Preliminary version in Proc. of CCC 2006. Lattice Problems and Norm Embeddings ( ps , pdf ) Oded Regev, Ricky Rosen Proc. of STOC 2006. Bounded-Error Quantum State Identification and Exponential Separations in Communication Complexity ( ps , pdf ) Dmitry Gavinsky , Julia Kempe , Oded Regev, Ronald de Wolf SIAM Journal on Computing 39(1), pp. 1--24, 2009. Preliminary version in Proc. of STOC 2006. Conditional Hardness for Approximate Coloring ( pdf ) Irit Dinur , Elchanan Mossel , Oded Regev SIAM Journal on Computing 39(3), pp. 843--873, 2009. Preliminary version in Proc. of STOC 2006. On Lattices, Learning with Errors, Random Linear Codes, and Cryptography ( pdf , ppt ) Oded Regev Journal of the ACM 56(6), article 34, 2009. Preliminary version in Proc. of STOC 2005. The Complexity of the Local Hamiltonian Problem ( link ) Julia Kempe , Alexei Kitaev , Oded Regev SIAM Journal on Computing 35(5), pp. 1070-1097, 2006. Preliminary version in Proc. of FSTTCS 2004. Non-Interactive Correlation Distillation, Inhomogeneous Markov Chains and the Reverse Bonami-Beckner Inequality ( ps , pdf ) Elchanan Mossel , Ryan O'Donnell , Oded Regev, Jeff Steif , Benny Sudakov Israel Journal of Mathematics 154, pp. 299-336, 2006. Lattice problems in NP intersect coNP ( ps , pdf ) Dorit Aharonov , Oded Regev Journal of the ACM 52(5), pp. 749-765, 2005. Preliminary version in Proc. of FOCS 2004. An Elementary Proof of the Adiabatic Theorem ( link ) Andris Ambainis , Oded Regev A Subexponential Time Algorithm for the Dihedral Hidden Subgroup Problem with Polynomial Space ( link ) Oded Regev Worst-case to Average-case Reductions based on Gaussian Measures ( ps , pdf ) Daniele Micciancio , Oded Regev SIAM Journal on Computing 37(1) pp. 267-302, 2007. Preliminary version in Proc. of FOCS 2004. The Complexity of the Covering Radius Problem on Lattices ( ps , pdf ) Venkatesan Guruswami , Daniele Micciancio , Oded Regev Computational Complexity 14(2), pp. 90-121, 2005. Preliminary version in Proc. of CCC 2004. Randomised Nearest Neighbour Lower Bound ( pdf ) Amit Chakrabarti , Oded Regev SIAM Journal on Computing 39(5) pp. 1919-1940, 2010. Preliminary version in Proc. of FOCS 2004. A Lattice Problem in Quantum NP ( link ) Dorit Aharonov , Oded Regev Proc. of FOCS 2003. Adiabatic Quantum Computation is Equivalent to Standard Quantum Computation ( link ) Dorit Aharonov , Wim van Dam , Julia Kempe , Zeph Landau , Seth Lloyd , Oded Regev SIAM Journal on Computing 37(1) pp. 166-194, 2007. Preliminary version in Proc. of FOCS 2004. New Lattice Based Cryptographic Constructions ( psgz , pdf , ppt ) Oded Regev Journal of the ACM 51(6), pp. 899-942, 2004. Preliminary version in Proc. of STOC 2003. Improved Inapproximability of Lattice and Coding Problems with Preprocessing ( ps , pdf ) Oded Regev IEEE Trans. on Info. Theory 50(9), pp. 2031-2037, 2004. Preliminary version in Proc. of CCC 2003. Vertex Cover Might be Hard to Approximate to within 2- ( ps , pdf ) Subhash Khot , Oded Regev Journal of Computer and System Sciences 74(3), pp. 335-349, 2008. Preliminary version in Proc. of CCC 2003. 3-Local Hamiltonian is QMA-complete ( link ) Julia Kempe , Oded Regev Quantum Information and Computation 3(3), 258-264, 2003 A New Multilayered PCP and the Hardness of Hypergraph Vertex Cover ( ps , pdf ) Irit Dinur , Venkatesan Guruswami , Subhash Khot , Oded Regev SIAM Journal on Computing 34(5), pp. 1129-1146, 2005. Preliminary version in STOC 2003. Long Monotone Paths in Line Arrangements ( ps , pdf ) Jozsef Balogh , Oded Regev, Clifford Smyth , William Steiger , Mario Szegedy Discrete and Computational Geometry 32(2), pp. 167-176, 2004. Preliminary version in SOCG 2003. The Hardness of Hypergraph Coloring ( ps , pdf ) Irit Dinur , Oded Regev, Clifford Smyth Combinatorica 25(5), pp. 519-535, 2005. Preliminary version in Proc. of FOCS 2002. Quantum Computation and Lattice Problems ( ps , pdf ) Oded Regev SIAM Journal on Computing 33(3), pp. 738-760, 2004. Preliminary version in Proc. of FOCS 2002. Priority Algorithms for Makespan Minimization in the Subset Model ( ps , pdf ) Oded Regev Information Processing Letters 84(3), pp. 153-157, 2003. On-line Restricted Assignment of Temporary Tasks with Unknown Durations ( ps , pdf ) Amitai Armon, Yossi Azar , Leah Epstein , Oded Regev Information Processing Letters 85(2), pp. 67-72, 2003. Temporary Tasks Assignment Resolved ( ps , pdf ) Amitai Armon, Yossi Azar , Leah Epstein , Oded Regev Algorithmica 36(3), pp. 295-314, 2003. Preliminary version in Proc. of SODA 2002. Combinatorial Algorithms for the Unsplittable Flow Problem ( ps , pdf ) Yossi Azar , Oded Regev Algorithmica 44(1) pp. 49-66, 2006. Preliminary version in Proc. of IPCO 2001. Maximizing Job Benefits On-line ( ps , pdf ) Baruch Awerbuch , Yossi Azar , Oded Regev Journal of Scheduling 4(6), pp. 287-296, 2001. Preliminary version in Proc. of APPROX 2000. Off-line Temporary Tasks Assignment ( ps , pdf ) Yossi Azar , Oded Regev, Ji Sgall , Gerhard Woeginger Theoretical Computer Science 287(2), pp. 419-428, 2002. Preliminary version in Proc. of ESA 1999. Minimizing the Flow Time without Migration ( ps , pdf ) Baruch Awerbuch , Yossi Azar , Stefano Leonardi , Oded Regev SIAM Journal on Computing 31(5), pp. 1370-1382, 2002. Preliminary version in Proc. of STOC 1999. On-line Bin-Stretching ( ps , pdf ) Yossi Azar , Oded Regev Theoretical Computer Science 268(1), pp. 17-41, 2001. Preliminary version in Proc. of RANDOM 1998. Personal: My brother is behind Flytrex , a drone delivery company The arXiv Abstract Generator Past teaching: Undergraduate: Discrete Math, Fall 2009 First Steps in Research, Fall 2009 Computational Complexity, Spring 2009 Workshop in Internet Technologies, Fall 2008 Computational Complexity, Spring 2008 Workshop in Internet Technologies, Fall 2007 Computational Complexity, Spring 2007 Workshop in Secure Computing, Fall 2006 Workshop in Secure Computing, Fall 2005 Discrete Math, Fall 2005 Discrete Math, Spring 2005 Discrete Math, Spring 2004 Graduate: Introduction to Cryptography , Fall 2017 Introduction to Cryptography , Fall 2016 Introduction to Cryptography , Fall 2015 Introduction to Cryptography , Fall 2014 Introduction to Cryptography , Fall 2013 Lattices, Convexity and Algorithms , Spring 2013 (NYU; headed by Daniel Dadush ) Analytical Methods in Computer Science, Fall 2012 (NYU) Analytical Methods in Comp. Sci., Spring 2011 (ENS, Paris) Theory Seminar, 2004-2010 Lattices in Computer Science, Fall 2009 Analytical Methods in Comp. Sci., Fall 2007 Seminar in Coding Theory, Spring 2007 Coding Theory, Fall 2006 Seminar in Quantum Computing, Spring 2006 Quantum Computing, Fall 2005 + Spring 2006 with Amnon Ta-Shma Lattices in Computer Science, Fall 2004 diff --git a/src/data/compiled_bios/3209.txt b/src/data/compiled_bios/3209.txt new file mode 100644 index 0000000000..9b6a4ebdd0 --- /dev/null +++ b/src/data/compiled_bios/3209.txt @@ -0,0 +1 @@ + Loading... Menu back to home Personal Bio Timeline Contact Me Dennis Shasha Prof, Computer Science Dept Department of Computer Science Courant Institute of Mathematical Sciences New York University Also, Associate director, NYU WIRELESS. shasha@cs.nyu.edu Personal Bio Timeline Contact Me about I do research in biological computing (including experimental design), pattern recognition and querying in trees and graphs, pattern discovery in time series, cryptographic file systems, database tuning, and wireless . See Research Activity in brief . If you want a truly stimulating reading experience, try my resume in pdf. Books For excerpts of my book (with journalist Cathy Lazere) of biographies of great computer scientists, see Out of Their Minds: the lives and discoveries of 15 great computer scientists (book published by Copernicus/Springer Verlag). Natural Computing In 2010, we published Natural Computing a book about the ongoing synthesis between computing and biology. Here is a little video preview (you will have to poke around to find it) Puzzles I have also had the pleasure of writing a mathematical puzzle column for Dr. Dobb's Journal whose readers are very sharp and continue to write the Puzzling Adventures Column for Scientific American . The puzzle-writing has led to six books about a mathematical detective named Dr. Ecco. Try them if you dare. Starting in the fall of 2014, I have become the puzzle columnist of the Communications of the ACM (CACM). Database Tuning Professionally, I have written two books about database tuning. The second, co-authored with Philippe Bonnet, appeared in May, 2002 and is called Database Tuning: principles, experiments, and troubleshooting techniques (published by Morgan Kaufmann). We have been updating material on that topic ever since. Books with Students In 2004, I wrote a book with my excellent PhD student Yunyue Zhu entitled High Performance Discovery in Time Series: techniques and case studies published by Springer Verlag Publishers in June 2004. More recently, I have written two books with Masters students on computational biology/bioinformatics: Stored Clocked Programs Inside DNA: a simplifying framework for Nanocomputing with Jessie Chang published by Morgan Claypool in 2011 and Network Inference in Molecular Biology -- a hands-on framework with Jesse Lingeman published by Springer in 2012. Bioinformatics Edited Collections With the extremely energetic Jason Wang and other colleagues, I have helped co-edit two books in bioinformatics: 1. Pattern Discovery in Biomolecular Data: Tools, Techniques, and Applications Jason Wang, Bruce Shapiro, and Dennis Shasha (Eds.) Oxford University Press, November, 1999. 2. Data Mining in Bioinformatics J. T. L. Wang, M. J. Zaki, H. T. T. Toivonen and D. Shasha (eds.), 350 pages, Springer-Verlag, August 2004. Statistics is Easy In my work with biologists, I find myself needing statistics. Because I find that academic statistics books tend to make the subject overly complex and lay statistics books tend to gloss assumptions (e.g. about normality) Manda Wilson and I have written a short book entitled Statistics is Easy! that uses a resampling approach to statistics (thus avoiding distribution assumptions) and explains most of the concepts using counting. The book also contains a link to python code that implements the statistics we discuss in the book. Please take a look at an excerpt. Russian Immigrants Because I was so fascinated by the Russian students we've had at NYU, I have co-authored with Marina Shron (a playwright born in St. Petersburg), Red Blues: voices from the last wave of Russian immigrants Here is an excerpt from that book . Technical Reports by the Department Here is a link to the technical reports offered by the department. NYU Computer Science Tech Reports Designer of this Website This website was designed by my son Tyler and his company OmniNerds . He also designed the site of Grace & Sha , where you can find some music which I co-wrote with the beautiful singer Grace. Here you can find more of our music videos. download resume Contact Me Timeline education 1984 Doctorate Ph.D. Harvard University in applied mathematics Dissertation Advisor: N. Goodman 1980 Masters M.Sc. Syracuse University (overlapped work at IBM Data Systems Division) 1977 Bachelors B.Sc. Yale University (Electrical Engineering) Academic/Consulting 2015 INRIA International Chair (2015-2019) 2014 ACM Fellow 2001-2014 ShieldIP Startup co-founded with Michael Rabin (CEO Yossi Beinart and wonderful co-workers Carl Bosley, Ramon Caceres, Aaron Ingram, Timir Karia, David Molnar, and Sean Rollinson) to combat piracy while protecting privacy. Great technology developed but we didn't understand the incentives of the industry. Patents sold in 2014. 1995-Present Professor at New York University Professor of Computer Science Courant Institute of Mathematical Sciences 1995-2000 Database Research Database Research Collaboration Lucent Bell Laboratories and Bell Communication Research 1990-1995 Associate Professor at New York University Associate Professor of Computer Science Courant Institute of Mathematical Sciences New York University 19911992, 19981999, 20062007 Invited Professor During Sabbatical Year Invited Professor at INRIA Roquencourt, France 1991-Present Database tuning and design consulting Wall Street investment banks, Internet gaming, and biotech. Primary clients: Morgan-Stanley, JP Morgan, Interactive Imaginations, and Union Bank of Switzerland. Also TRW, NCR, Bull, Bellcore, and the RATP (Paris rapid transit). Lastminute.com. Relational systems mainly 19871995 Bell Labs Consultant AT&T Bell Laboratories, Unix System Laboratories, and Novell Consulting work on transaction processing (concurrency control and recovery) and future UNIX kernel development. 19871991 (Pro Bono) Technical Consultant Ellis Island Restoration Commission Technical consultant (pro bono work) for the design of the Immigrant Database Management System. 1984-1990 Assistant Professor at New York University Assistant Professor of Computer Science Courant Institute of Mathematical Sciences New York University 19771980 IBM Hardware Engineer IBM Data Systems Division Hardware and microcode design of arithmetic, interrupt, and processor-to-channel communication for the IBM 3090 central processor. Also responsible for self-diagnosing circuit design. download resume Contact Me contact Postal Address Phones Postal Address 251 Mercer Street New York, NY 10012, U.S.A. (voice) 212.998.3086 212.998.3078 (fax) 212.995-4123 Email (the best way to reach me) shasha@cs.nyu.edu Your message was sent succssfully! Something went wrong, try refreshing and submitting the form again. BESbswy diff --git a/src/data/compiled_bios/321.txt b/src/data/compiled_bios/321.txt new file mode 100644 index 0000000000..df6eed65a7 --- /dev/null +++ b/src/data/compiled_bios/321.txt @@ -0,0 +1 @@ +Name: Bastani, Farokh B.:: Position: Professor (CS, CE, & TE), Excellence in Education Chair:: Degrees: Ph.D.,University of California, Berkeley; Research Interests: AI-Based Automated Software Synthesis and Testing; Embedded Real-Time Process-Control and Telecommunications Systems; Formal Methods and Automated Program Transformation; High-Assurance Autonomous Decentralized Systems; High-Confidence Software Reliability and Safety Assurance; Inherently Fault-Tolerant and Self-Stabilizing Distributed Systems; Modular Parallel Programs; Tele-Collaborative Systems; Research Centers: Embedded Software Center (ESC); NSF Industrial & University Cooperative Research Center (IUCRC); diff --git a/src/data/compiled_bios/3210.txt b/src/data/compiled_bios/3210.txt new file mode 100644 index 0000000000..fde0d17a93 --- /dev/null +++ b/src/data/compiled_bios/3210.txt @@ -0,0 +1 @@ + Victor Shoup's Home Page victor @shoup.net Current Address: New York University Courant Institute 251 Mercer Street New York, NY 10012 curriculum vitae Research Papers My research interests include: the design, analysis, and implementation of algorithms for solving problems in the area of number theory and algebra; the design and analysis of cryptographic protocols. A Graduate Course in Applied Cryptography A preliminary/partial draft of a textbook on cryptography that I am writing with Dan Boneh . A Computational Introduction to Number Theory and Algebra (Version 2) A free ebook introducing basic concepts from computational number theory and algebra, including all the necessary mathematical background. NTL: A Library for doing Number Theory (version 11.3.2) NTL is a high-performance, portable, and free C++ library providing data structures and algorithms for manipulating signed, arbitrary length integers, and for vectors, matrices, and polynomials over the integers and over finite fields. xbup: a set of backup tools for Mac OSX Some software for dealing with Mac OSX metadata, including backup to a remote, non-OSX, unix machine. Projector A simple LaTeX class for preparing presentations. I didn't feel like reading the beamer manual, so I just made my own. ISO 18033-2: A Standard for Public-Key Encryption ISO 18033-2 is an ISO standard for public-key encryption. I was the editor of this standard. Here, you can find a final draft, a reference implementation, and some supporting documentation. diff --git a/src/data/compiled_bios/3211.txt b/src/data/compiled_bios/3211.txt new file mode 100644 index 0000000000..e56985659d --- /dev/null +++ b/src/data/compiled_bios/3211.txt @@ -0,0 +1 @@ + Alan Siegel This page is under construction. You are welcome to look through some selected work in computer science, mathematics and education. The current topics include technical articles plus two closely related publications about mathematics education and the TIMSS Videotape of Classroom Study of teaching in Japan, Germany, and the U.S. The technical publications include work in the areas of plane geometry, probability (medians and Heoffding bounds), the mathematical analysis of closed hashing, and the theory of fast hash functions. Education Understanding and misunderstanding the Third International Mathematics and Science Study: what is at stake and why K-12 education studies matter, Proceedings of the International Congress of Mathematicians (ICM2006), Volume III: Invited Lectures, M. Sanz-Sole, J. Soria, L.L. Varona, and J. Verdera, Ed., pp. 1599--1630 (2006). Telling Lessons from the TIMSS Videotape. (The paper is here.) This analysis of the TIMSS video tape and the ensuing studies is written to let you decide for yourself what made the teaching so special. But don't take my word for it; read the paper and do your own thinking. If you still have doubts, go review the tapes and check out the references. After all, that's what I did. This paper appeared as Chapter 5 in Testing Student Learning, Evaluating Teaching Effectiveness, Williamson Evers and Herbert Walberg, Ed. pp. 161--193 (2004). Please note: there are a few links to restore below, and I have to make an alternative page for those of you who do not have an ISO-8859-1 compliant character set loaded into your browsers. (I also used a few overlines, which might not be in the standard.) Here is what you should see. Well, the top row should be Greek characters and a few math characters. p S 13 mu tau lambda kappa pi pi Sigma Sigma Sigma sqrt(13) integral I'll eventually post an HTML version of the TIMSS paper above. But for right now, you are on your own. My apologies. A.S. Area in the plane We resolve a number of area optimization questions about polygons and related figures. Some of the problems have a history that goes back 10, 30 and even 50 years. The first proof is not new. The paper is intended to give an entertaining and intuitive proof of the isoperimetric inequality in the plane. The idea originates with Lawler. Simple polygons (i.e., polygons that do not intersect themselves). A naive proof of the 2-D Isoperimetric Theorem in Elementary Geometry. An isoperimetric theorem in plane geometry. Self-intersecting polygons. An isoperimetric inequality for self-intersecting polygons. Arrangements of segments and the area they encompass. A Dido Problem as modernized by Fejes Tth . Some Dido-type Inequalities. Open problems. Performance analyses for closed hashing in a model that supports real computation For closed hashing, performance estimates are normally based on simplified analyses of idealized programs that cannot be implemented. We show that the same results can be achieved for programmable hash functions that run in constant time---provided certain caching resources are available. The performance of closed hashing with limited randomness. Double Hashing is Computable and Randomizable with Universal Hash Functions, with J.P. Schmidt. Closed Hashing is Computable and Optimally Randomizable with Universal Hash Functions, with J.P. Schmidt. The theory of fast hash functions. On Universal Classes of Extremely Random Constant Time Hash Functions and their Time-Space Tradeoff. Probability Medians of discrete random variables Median bounds and their application. While tail estimates have received significant attention in the probability, statistics, discrete mathematics, and computer science literature, the same cannot be said for medians of probability distributions, and for good reason. First, there are only a few published results in this area, and even they are not at all well known (but should be). Second, there seems to be very little mathematical machinery for determining the medians of probability distributions. Third (and consequently), median estimates have not been commonly used in the analysis of algorithms, apart from the kinds of analyses frequently used for Quicksort, and the provably good median approximation schemes typified by efficient selection algorithms. This paper addresses these issues in the following ways. First, a beginning framework is presented for establishing median estimates. It is strong enough to prove, as simple corollaries, the two or three non-trivial median bounds (not so readily identified) in the literature. Second, several new median results are presented, which are all, apart from one, derived via this framework. Third, applications are offered: median estimates are shown to simplify the analysis of a variety of probabilistic algorithms and processes. Chernoff-Hoefding bounds (new material plus handbook-like coverage) Toward a Usable Theory of Chernoff Bounds for Heterogeneous and Partially Dependent Random Variables. (The paper is here.) Let X be a sum of real valued random variables and have a bounded mean E[X]. The generic Chernoff-Hoeffding estimate for large deviations of X is: Prob{X-E[X] > a} < min { l > 0} e (- l (a+E[X])) E[e l X ], which applies with a > 0 to random variables with very small tails. At issue is how to use this method to attain sharp and useful estimates. We present a number of Chernoff-Hoeffding bounds for sums of random variables that can have a variety of dependent relationships and that might be heterogeneously distributed. Chernoff-Hoeffding Bounds for Applications with Limited Independence (The paper is here.) with J.P. Schmidt and A. Srinivassan. It is all in the title: your favorite tail estimates for sums of random variables that only exhibit limited independence, such as those produced by implementations of hash functions for computers. Detailed summaries Area in the plane We resolve some area optimization questions about polygons and related figures. The first paper presents a known proof of a classical isoperimetric inequality for the circle. The inequality states that among all regions in the plane with a given perimeter, the disk has the greatest area. There is a related result for polygons, which states that among all polygonal regions with a given set of side lengths, those whose vertices lie on a circle have the greatest area. As the ancient Greek geometers knew very well, this fact is readily derived from the isoperimetric inequality for the circle. But as has been noted by the Russian geometer Yaglom, a direct Euclidean proof of this basic fact about polygons has been missing. The second paper below presents a Euclidean construction that establishes this inequality directly. Let P and Q be n-sided polygonal regions with the same side lengths, and suppose that the vertices of Q lie on a circle. The algorithm partitions Q into 2n pieces that are then rearranged to cover all of P (with possible overlaps and other excesses). It follows that the area of Q is at least as large as that of P. Simple polygons (i.e., polygons that do not intersect themselves). A naive proof of the 2-D Isoperimetric Theorem in Elementary Geometry. (The paper is here.) We offer a completely elementary proof of the following basic fact: Among all regions in the plane with a given perimeter p, the circle has the greatest area. Direct and to the point: no compactness, no calculus, no errors. A brief history of the problem is included, along with a discussion about Steiner and why his approach requires a compactness argument. An isoperimetric theorem in plane geometry. (The paper is here.) Cool applet demo (Back to Area Hashing Medians ) We give a new and substantial generalization of A . The naive global analysis of A is extended to derive the following covering property: Imagine walking along the consecutive edges of a simple but not necessarily convex polygon P and drawing a ray from each vertex. Suppose you circulate about P in a clockwise direction, and pick a new direction for each ray that represents a clockwise rotation of the preceding ray. Suppose the sum of all rotational increments adds up to 360 o . Whenever the rays from two consecutive vertices intersect, let them induce the triangular region defined by the two vertices and the point of intersection. We show there is a fixed a such that if each ray is rotated by a, then the triangular regions induced by the redirected rays cover the interior of P. This covering implies the standard isoperimetric inequalities in two dimensions, as well several new inequalities. The proof is technically elementary, since it does not even use calculus. Unfortunately, a correct proof is non-trivial, and the applications use a little more math. Self-intersecting polygons. An isoperimetric inequality for self-intersecting polygons. (The paper is here.) (Back to Area Hashing Medians ) The following has been the subject of incremental improvements over a course of 50 years. Take a self-intersecting polygon P, and consider the bounded components of the plane when the polygonal path P is removed (i.e., R 2 / P). For each such component, we have, for example: Its area, and the area of its convex hull. Various notions of how may times the curve P winds around the component. The problem is to establish as strong a bound as possible where the smaller side comprises an expression built from the values described in i. and ii. above, and the upper bound is the area of one of the following: The circle with the same perimeter as P. A polygon that is inscribed in a circle and has sides with the same lengths as P. A polygon that is simple, convex, and is built from a rearrangement of the edges in P, where only translations (and no rotations) are used. Let P be a non-simple polygon in R 2 with segments that are directed by a traversal along its vertices. Let E be the collection of located directed segments of P, but with some segments split into several pieces as necessary. Let Z be a multiset of oriented simple polygons (cycles) whose edges comprise the same collection of directed located segments as those in E. For any x in ConvHull(P), let w( x ) be the maximum of 1 and the number of cycles in Z that contain x in their convex hulls. For any oriented simple cycle C in Z, let W + (C) be the number of cycles in Z that have the same orientation as C and contain C in their convex hulls. Let W _ (C) be the number of cycles in Z that are oriented opposite from C and contain C in their convex hulls. Let k = 2 2 - 2, and let W(C)= W + (C) + k W _ (C). Let a be the area as described in iii., which is the smallest of the three choices. We show that: x e ConvHull(P) w 2 ( x ) d x + S C e Z W(C) ( Area(ConvHull(C)) - Area(C) ) < a . Previous bounds used the multiplier w( x ) rather than w 2 ( x ) and set W=0, or set W=0 and replaced a with p 2 / 4 p , where p= Arclength(P). The former bound is not strong, and the latter is an elementary consequence of the Brunn-Minkowski inequality. With the exception of k , no subexpression can be increased by a constant factor, and k cannot exceed ( 13 - 1) / 3 ~ .869. We also offer an enhanced bound where p 2 / 4 p replaces a . Arrangements of segments and the area they encompass. A Dido Problem as modernized by Fejes Tth. (The paper is here.) Around 30 years ago, Fejes Tth posed the following problem. Let E be an arbitrary arrangement of line segments in the plane. Let A be the sum of the areas of the bounded components of the plane when the edges in E are removed (i.e., of R 2 / E). View the segments as having fixed lengths but as relocatable. Prove that A is maximized precisely when E forms a polygon with the greatest possible area. The theorem is obviously true; the point of the problem is to devise a sound method to handle the lack of structure imposed by arbitrary arrangements of segments. Some Dido-type Inequalities. (The paper is here.) (Back to Area Hashing Medians ) In 1989, A. and K. Bezdek posed the following problem: Let E be an arbitrary arrangement of line segments in the plane. Suppose that E as a pointset is connected. View the segments as having fixed lengths but as relocatable. Show that the area of the convex hull of E is maximized when E forms a polygonal path that is tightly inscribed in a semicircle whose endpoints align with the endpoints of the path. We establish the bound, and generalize it as follows. The requirement that the edge set be pointwise connected is replaced by a much weaker condition. The polygonal path used to get an upper bound for the area is replaced by a different path to get a smaller upper bound. The path is built from a rearrangement of the edges in P, where only translations (and no rotations) are used. It must be convex, and have a total rotational increase of consecutive edge directions that adds up to at most 180 o . Open problems. These results raise more questions than answers. One obvious set of questions concerns generalizations to higher dimensions. Another: What is the right value for k? We suspect that it is ( 13 - 1) / 3. Others are based on the following observation. The convex hull seems to be ill-suited for defining adjusted notions of area. The objective is to include the area of pockets but not too much more. In the Bezdeks' problem, the dilemma of catching too much area was fixed by the excessive restriction that the collection of segments be pointwise connected. With the Umbra operation as defined below, the area that should be caught by the convex hull still is, but the connectivity requirement can be completely dropped to get the ``the right'' generalization. The same issue arises in the Dido problem of Fejes Tth. Using the convex hull just creates needless obstacles. The problem reappears when formulating sharper bounds for non-simple polygons. So: Let F be a finite collection of segments located in the plane. Define Umbra(F) to be the set of points x such that every line through x intersects some segment in F. This should be good for the Bezdeks. Define Encloak(F) to be the set of points x such that every line through x intersects at least two segments in F. This should be good for Fejes Tth. Why stop? Keep counting. This should be good for self-intersecting polygons, and might even give a way to unite the result with the Fejes Tth problem. Performance analyses for closed hashing in a model that supports real computation In closed hashing, which is also called hashing with open addressing, data keys are inserted into a table T one-by-one. The hash function p(x,j) is used to compute the table address of key x as follows: x is inserted into the first vacant table location, in the sequence T[p(x,1)], T[ p(x, 2)], T[ p(x, 3)], . . . . This form of hashing does not use pointers or auxiliary storage. Search for a key x is achieved by testing the table locations in the same sequence until x is located or a vacant location is found, whence it will follow that x is not in T. For specificity, let the keys belong to a finite universe U, and let T have the indices 0.. n -1. The performance, as a function of the load factor a , is defined to be the expected number of locations that must be examined to insert the next key when the table contains a n keys. Uniform hashing is an idealized model of hashing that assumes the collection of random variables p(x, 1), p(x, 2), . . . for all x in U is jointly independent and uniformly distributed over [0, n-1]. Linear probing is more realistic. It defines p(x, j) = d(x)-j+1 (mod n) , where d(x), for x in U, are a family of independent uniformly distributed random variables over the range [0, n-1]. Double hashing defines p(x, j) = f(x)+(j-1)d(x) (mod n), where the table size n is prime, (f(x), d(x)) is uniformly distributed over [0, n-1] X [1, n-1], and the families f(x) and d(y), for (x, y) in U X U, are jointly independent. Tertiary Clustering defines an idealized model that we also analyze. It was probably invented to formalize a model of hashing that is more realistic than uniform hashing, more efficient than linear probing and more tractable than double hashing. Prior work Uniform hashing is trivial to analyze. Linear probing is much more difficult, and the exact analysis originates with Knuth. The analysis of double hashing evolved in sporadic spurts over the course of 20 years. The first milestone was the analysis by Guibas and Szemerdi, which showed that its performance is asymptotically equivalent to uniform hashing for load factors below 0.3. Subsequently, Lueker and Molodowitch showed that the equivalence holds for any fixed load below1.0. Ajtai, Guibas, Komls and Szemerdi also discovered this fact around the same time. What's missing from these analyses. The most serious issue is that all of the hash functions are by definition unprogrammable because of the assumptions about full independence. Real hash functions are subroutines that are initialized by some number of random seeds that are then used to compute a deterministic function of the seeds and the hash key. Thus, hash functions are really pseudo-random functions whose sole source of randomness comes from the seeds. As far as anyone knows, none of the prior analyses can be adapted to this kind of restricted randomness. These issues are resolved in the following Part I and Part II papers, plus one more that is listed later: Double Hashing is Computable and Randomizable with Universal Hash Functions. (The paper is here.) (back to Area Hashing Medians ) Closed Hashing is Computable and Optimally Randomizable with Universal Hash Functions. (The paper is here.) The basic result is: Asymptotically, the use of programmable hash functions with limited (but sufficient) numbers of random seeds has the same performance as idealized pure random hash functions. Moreover, our proof techniques even improve and extend some of the results for purely random hash functions. These works offer the first analyses for closed hashing and sublinear numbers of seeds. Together with the paper discussed next, the results give an affirmative answer the question: Can the performance results predicted by the idealized analyses be achieved for programmable hash functions that can be evaluated in constant time? This study is also the only analysis where one proof method covers a number of different hashing schemes. The analysis is all about controlling the exponential blowup of error bounds that occurs from inclusion-exclusion arguments. The commonality and generality in the proofs are a consequence of using the statistical characteristics of the hash functions as opposed to their specific implementation features. For example, in the case of double hashing, the two random variables p(x,j) and p(x,i) are statistically independent provided i is unequal to j. From this perspective, the performance analysis cannot distinguish among double hashing with limited independence, full independence, nor uniform hashing with full or limited independence. Consequently, we "only" have to show that if the limited independence is large enough, then the performance, for a fixed load factor a <1, has some very complicated formulation based on inclusion-exclusion semantics, that, apart from a large number of error contributions that sum to O(1/n), are all the same expression. Since we know that this expression equals 1/(1- a ) +O(1/n) for uniform hashing with full independence, we do not have to evaluate the beastly mess. A minor consequence is that the error bound for double hashing is driven down to O(1/n), which is sharper than the O(1/ n ) or so of Lueker and Molodowitch. Lastly, the Lueker- Molodowitch proof deserves a special acknowledgment. The work is simply beautiful and worth reading. A thumbnail sketch of their work and how its proof schema influenced this study will be prepared at a later date. The bad news is that all of these limited independence results use c log n-wise independence. So the next question is: What computational resources are necessary for a hash function p(x) to exhibit clog n-wise independence and be computable in constant time? The answer is in: On Universal Classes of Extremely Random Constant Time Hash Functions and their Time-space Tradeoff. (The paper is here.) (Back to Area Hashing Medians ) A family of functions F that map [0,m]->[0,n], is said to be h-wise independent if any h points in [0,m] have an image, for randomly selected f in F, that is uniformly distributed. This paper gives both probabilistic and explicit constructions of (n e )-wise independent functions, for suitably small constant positive e , that can be evaluated in constant time for the standard random access model of computation. As a consequence, many probabilistic algorithms can for the first time be shown to achieve their expected asymptotic performance for a feasible model of computation. While the issue of fast, provably sound hashing has been recognized as important for decades, this work represents the first progress toward solving the problem. We show that the speed/degrees-of-freedom tradeoff for such provably sound hash functions is actually a tradeoff between the independence h and the caching storage plus precomputation. Loosely put, any h-wise independent hash function that uses fewer than h operations, needs no more than 2h random seeds, which is wonderful. But such a program also must have, for a suitable small but positive constant d < 1, a cache of z = n d pseudorandom precomputed seeds, which can be computed from the 2h random seeds. The program will use the hash key to locate a few of the cached pseudorandom seeds, which can then be combined to produce the hash value. Of course, the location of the next seed to read can be a function of the seeds already read as well as the key, and our lower bound includes this possibility. We offer one lower bound with two interpretations. Lower bound: Let F be an algorithm that hashes keys from a domain [0,D] into a range [0,R]. Suppose that the algorithm works by adaptively reading T pseudorandom seeds from a cache of z words in [0, R]. Suppose that F is h-wise independent, with a commonly used non-uniformity in the distribution that is bounded by an error parameter m. Then: z(z-1)(z-2). . .(z-T+1) > (h-2)(h-3). . .(h-T)|D|(1- m / |R|). Notice how this bound collapses when T goes from h-1 to h. It says that either T is h or the cache size z must be about as large as D 1/T words. There are two additional observations that must be said. First, the bound shows that m does not appear to be an important parameter, and our constructions show that this extra freedom is useless. Second, when D>>R, it shows that the storage costs can be high. As a consequence, we are obliged to quantify a new kind of relaxation in the statistical characteristics of F. The resulting error is provably insignificant in terms of its influence on the performance of probabilistic algorithms. However, this change allows D to be replaced by R in this lower bound, and our probabilistic constructions suggest that the resulting bound for T might be achievable to within a factor of 2. The difficult part of the algorithm is in determining which cache seeds to read. In addition to our probabilistic existence arguments, we also explicit constructions that give formally comparable results but which, essentially, increase the cache size by a constant factor and increase the running time by a very large constant factor. Lastly, we show that the problem of finding the right (i.e. truly efficient) graphs is equivalent to defining expander-like bipartite graphs with n input nodes, n d output nodes, for d < 1, and (small) constant input degree. In addition, the graph should be represented by a program/data set of size n d or less, and the program should be able to compute the adjacency list for an input vertex in constant time. Weaker problems of this type are open. There has been progress on these questions, but at a very slow pace. In summary, the problem of implementing fast, highly random hash functions is formally solved so that the theoretical model is provably sound and usable. The prospects for really implementable functions are enhanced by the identification of the right problem to solve. On the other hand, the problem seems to be very difficult. Applications are given for closed hashing and for the randomization necessary in a pipelined implementation of Ranade's PRAM emulation scheme on an N X log N butterfly network that uses N log N switches but only one column of N processors and memory modules. The formal performance results are the same as Ranade's scheme, which requires NlogN processors. In terms of the processor-time characteristics, this implementation gives is an optimal emulation of a PRAM. Medians of discrete random variables Median bounds and their application. (The paper is here.) (Back to Area Hashing Medians ) Applications of median specific median bounds. Computing tail estimates for functions of weakly dependent random variables. The analysis of probabilistic processes. A fairly direct analysis of the log log n + O(1) time expected performance of interpolation search. Bounds applicable to double hashing. Bounds used to prove optimal performance for a pipelined version of Ranade's PRAM emulation scheme. Systematic methods for computing medians of families of random variables. The approach uses naive analytic symmetrization to replace messy asymptotics with simple global analysis that is sort of a study of shapology. As an elementary example, let F(x) be the cumulative distribution function of a non-negative random variable with mean . Then F(x)+F(2-x) is symmetric on [0, 2] , and almost flat. A proof that its average value on [0, 2] exceeds 1, along with an analysis of its critical points can show that 2F()>1. Specific median results for new families of random variables. Some of the pure probability results are easier to explain by example than with formal definitions of the underlying distributions. (In the following results, we always assume that various values are integers. If not, the median will be one of the two integers nearest to the value in question.) First, the main prior result that should be better known: You have 1001 coins that are independent but might not be fair or have identical probabilities of success. You know that the expected number of heads is 37. A weak interpretation of the theorem [due to Jogdeo and Samuels] reads: When the mean is an integer for sums of Bernoulli Trials it is also the median. We use self-contained systematic methods to establish this bound and to prove a number of new estimates that do not follow from the Jogdeo-Samuels results. As before, you have 1001 independent heterogeneous coins and know that the expected number of heads is the integer m. You perform the following experiment (designed to eliminate outliers): Toss all the coins. Accept the answer if the number of heads is within r of m, where r is fixed. Otherwise repeat the experiment until the outcome is in the desired interval. Then regardless of what r you choose, m is still the median. You have 1001 heterogeneous red coins and 30001 heterogeneous green coins. The expected number of green heads is the integer g , and the expected number of red heads is the integer r . You repeatedly toss the coins until there are exactly g + r heads. Then the median number of red heads is r . Weighted selection: You have an Urn that contains R red balls and G green balls. Each red ball weighs r grams, and each green ball weights g grams. Let x + y balls be drawn from the urn, where x = R (1-e - r t ) and y = G (1-e - g t ) for some value of t. Suppose that x and y are integers. The balls are selected one-by-one without replacement. The probability of choosing a ball at the next round is its fraction of the total weight among the balls that remain unselected. Then the median number of red balls selected is x . Jogdeo and Samuels gave a very sharp formulation of their bound i., and we offer a corresponding version for 1. In brief, the J-S bound is this: Let X be a sum of independent, arbitrarily distributed Bernoulli Trials with mean E[X]=m where m is an integer. Let Prob{X = m} = p. Then [J-S]: | Prob{X < m} + p/2 - | < p/6, and this bound is tight. This bound is a generalization of a comparable statement for the Poisson distribution, which was conjectured and partially established by Ramanujan.Our methods do not give an independent proof of this result. However, we present (via different methods) an independent result that is comparable in structure and strength. Let X be a sum of independent Bernoulli Trials with mean E[X] = m. Suppose that m is an integer. Let Y be the resulting random variable that has the conditional probability distribution as defined in 1., so that |Y- m| < r for some fixed r. Let Prob{Y = m} = p. Then |Prob{Y < m} + p/2 - | < p/4, and this bound is tight. (Back to Area Hashing Medians ) diff --git a/src/data/compiled_bios/3212.txt b/src/data/compiled_bios/3212.txt new file mode 100644 index 0000000000..79127c1fd7 --- /dev/null +++ b/src/data/compiled_bios/3212.txt @@ -0,0 +1 @@ + Anirudh Sivaraman Assistant Professor of Computer Science 60 5th Avenue, Room 408, New York, NY 10011 anirudh@cs.nyu.edu I am an assistant professor at NYU's Computer Science Department . I am broadly interested in computer networking, and my current research work is in the area of fast and programmable routers . Before coming to NYU, I received a Ph.D. from MIT in 2017, an S.M. from MIT in 2012, and a BTech from IIT Madras in 2010. CV Students I am looking for undergraduate, masters, and Ph.D. students. My research combines computer networking with other fields such as systems, programming languages, compilers, and hardware design. I am interested in students with a background or interest in any of these areas. If you're interested in a Ph.D., please apply here , and send me an email if you have questions. If you're a masters or undergraduate student at NYU, please send me an email. Teaching CSCI-GA.2620-001: Networks and Mobile Systems , Spring 2019 CSCI-UA.0480-009: Computer Networks , Fall 2018 CSCI-GA.2620-001: Networks and Mobile Systems , Spring 2018 CSCI-UA.0480-009: Computer Networks , Fall 2017 Selected Publications ( Full List ) Language-Directed Hardware Design for Network Performance Monitoring Srinivas Narayana, Anirudh Sivaraman, Vikram Nathan, Prateesh Goyal, Venkat Arun, Mohammad Alizadeh, Vimalkumar Jeyakumar, and Changhoon Kim SIGCOMM 2017 Best Paper Award Web site SIGCOMM slides dRMT: Disaggregated Programmable Switching Sharad Chole, Andy Fingerhut, Sha Ma, Anirudh Sivaraman, Shay Vargaftik, Alon Berger, Gal Mendelson, Mohammad Alizadeh, Shang-Tse Chuang, Isaac Keslassy, Ariel Orda, and Tom Edsall SIGCOMM 2017 Web site SIGCOMM slides Packet Transactions: High-Level Programming for Line-Rate Switches Anirudh Sivaraman, Alvin Cheung, Mihai Budiu, Changhoon Kim, Mohammad Alizadeh, Hari Balakrishnan, George Varghese, Nick McKeown, and Steve Licking SIGCOMM 2016 Web site SIGCOMM 2016 talk SIGCOMM slides Programmable Packet Scheduling at Line Rate Anirudh Sivaraman, Suvinay Subramanian, Mohammad Alizadeh, Sharad Chole, Shang-Tse Chuang, Anurag Agrawal, Hari Balakrishnan, Tom Edsall, Sachin Katti, and Nick McKeown SIGCOMM 2016 Web site SIGCOMM 2016 talk SIGCOMM slides Awards SIGCOMM 2017 Doctoral Dissertation Award SIGCOMM 2017 Best Paper Award The Internet Research Task Force's 2014 Applied Networking Research Prize . MIT EECS' Frederick C. Hennie III Teaching Award, 2012 diff --git a/src/data/compiled_bios/3213.txt b/src/data/compiled_bios/3213.txt new file mode 100644 index 0000000000..e0fd43da62 --- /dev/null +++ b/src/data/compiled_bios/3213.txt @@ -0,0 +1 @@ +I have no home. The world is my home. -- Paul Erdos It suffices that a book be possible for it to exist. -- Jorge Luis Borges Joel Spencer Joel Spencer Silver Professor Computer Science and Mathematics Depts Email: {lowercaselastname}@cims.nyu.edu Department of Computer Science and Department of Mathematics Courant Institute , New York University Contact Room 829, 251 Mercer St. New York, NY 10012, U.S.A. 212-998-3219 (voice) 212-995-4124 (fax)-- but email is MUCH better CV/Papers/Talks Vita--Selected Work (short form) Vita--Publication List (long form) Papers Description of selected papers. Vita and those papers in postscript. Talks Slides for various talks. Course Information In Spring 2019 I will teach MATH-UA 349 HON ALG II MW 11:00AM 12:15PM Click here for informaion. Asymptopia Asymtpopia has been published by the American Math Society. Click here for a poster (Design: Danielle Spencer) This book is aimed at strong undergraduates, though it is also suitable for particularly good high school students or for graduates (or senior faculty!) wanting to learn some basic techniques. From the back cover: Asymptotics in one form or another are part of the landscape for every mathematician. The objective of this book is to present the ideas of how to approach asymptotic problems that arise in discrete mathematics, analysis of algorithms, and number theory. A broad range of topics is covered, including distribution of prime integers, Erdos Magic, random graphs, Ramsey numbers, and asymptotic geometry. The author is a disciple of Paul Erdos, who taught him about Asymptopia. Primes less than n, graphs with v vertices, random walks of t steps--Erdos was fascinated by the limiting behavior as the variables approached, but never reached, infinity. Asymptotics is very much an art. The various functions nlnn, n^2, (ln n)/n, \sqrt{\ln n}, ln(ln n) all have distinct personalities. Erdos knew these functions as personal friends. It is the author's hope that these insights may be passed on, that the reader may similarly feel which function has the right temperament for a given task. Asymptopia is a beautiful world. Enjoy! For ordering information from AMS (also available on Amazon) click here Click (Material will be slightly different from the text here and below) for preface Click here for Chapter 0 on primes Click here for Chapter 1 on Stirling's Formula Chapters: An Infinity of Primes; Stirling's Formula; Big Oh, Little Oh and All That; Integration in Asymptopia; From Integrals to Sums; Asymptotics of Binomial Coefficients; Unicyclic Graphs; Ramsey Numbers; Large Deviations; Primes; Asymptotic Geometry; Algorithms; Potpourri; Really Big Numbers! The Probabilistic Method -- Fourth Edition The FOURTH Edition of The Probabilistic Method is here! Click here for the Wiley website. Click here for Table of Contents toc Click here for the algorithmic version of the Lovasz Local Lemma fixit Click here for the Szemeredi Regularity Lemma szem Click here for an all new section on Graphons graphans Click here for an algorithmic approach to discrepency sixsigma Click here for an appreciation of Paul Erdos erdos Click here Hannah1 Hannah2 for our most beautiful and most attentive reader. She's a fox! And, in strong competition: johanna and jazmin and emily alsoemily1 alsoemily2 joe SPECIAL OFFER: Yes, your child (grandchild, niece, nephew, sibling) can have an Erdos Number of 1+\sqrt{-1}! Just send a photo of him/her absorbed in reading/playing/teething our book and I'll post it! Photos Photo by MA Click for family photos , or a photo of Paul Erdos . High School MathCamps This is a topic dear to my heart. I am former chair of an AMS committee that gives grants to High School Math Camps. Click for camp information or for information about donations to a worthy cause! Some Links My Wikipedia page Erdos Wikipedia page Danielle (daughter's) website David (son's) website Erdos Number Project Budapest Semesters in Mathematics Combinatorialist Quotes on Combinatorics [ TOP ] diff --git a/src/data/compiled_bios/3214.txt b/src/data/compiled_bios/3214.txt new file mode 100644 index 0000000000..2b11a721d7 --- /dev/null +++ b/src/data/compiled_bios/3214.txt @@ -0,0 +1 @@ + Lakshminarayanan Subramanian Professor Computer Science Department Courant Institute of Mathematical Sciences Toggle navigation Menu Home Papers Selected Publications All Publications Teaching Research Groups Open Networks and Big Data Lab NYU Systems Students Bio Lakshminarayanan Subramanian is a Professor in the Courant Institute of Mathematical Sciences at NYU. His research interests are in the areas of networked systems and data science with applications in computing for development (also referred by the acronymn ICTD). He leads the Open Networks and Big Data Lab and is a member of the NYU Systems group. He is associated with the Center for Technology and Economic Development , Center for Data Science and NYU WIRELESS . He is a Co-founder and Chief Scientist at Entrupy Inc , a startup that uses machine vision algorithms and microscopy to authenticate physical goods and enable trustworthy commerce. Research group : Open Networks and Big Data Lab Research Links : Open Networks and Big Data . People : Talal Ahmad (Ph.D. student), Ananth Balashankar (Ph.D. student), Shiva R. Iyer (Ph.D. student), Yan Shvartzshnaider (Post Doc), Mukund Sudarshan (Ph.D. student). Research Open Networks Next-gen Networks Distributed Network Services Mobile Network Stack [SIGCOMM 2015] [EuroSys 2014] Security and Privacy PRIVACI [HCOMP 2016] Big Data Crowds Dengue outbreak prediction [Science Advances 2016] Mobile Urban Sensing, Informatics and Control Socio-economic Inference Event Analytics from News Data [KDD 2016] [EMNLP 2016] [GlobalSIP 2016] Reputations and Human Computation [NIPS 2014] Recent and Selected Publications Fine-Grained Dengue Forecasting using Telephone Triage Services Nabeel Abdur Rehman, Shankar Kalyanaraman, Talal Ahmad, Fahad Pervaiz, Umar Saif, Lakshminarayanan Subramanian. Science Advances . 08 July 2016. [pdf] The Effects of the Content of FOMC Communications on US Treasury Rates . Sunandan Chakraborty, Christopher Rohlfs, Lakshminarayanan Subramanian. EMNLP 2016. (short paper) [pdf] Predicting Socio-Economic Indicators using News Events . Sunandan Chakraborty, Ashwin Venkataraman, Srikanth Jagabathula, Lakshminarayanan Subramanian. KDD 2016 . [pdf] Adaptive Congestion Control for Unpredictable Cellular Networks . Yasir Zaki, Thomas Potsch, Jay Chen, Carmelita Goerg, Lakshminarayanan Subramanian. ACM SIGCOMM 2015 . [pdf] Reputation-based Worker Filtering in Crowdsourcing . Srikanth Jagabathula, Lakshminarayanan Subramanian, Ashwin Venkataraman (alphabetical order). NIPS 2014 . [pdf] 60, 5th Ave, Room 416 New York, NY 10011 Phone: (212) 998-3485 Fax: (212) 995-4123 Email: lakshmi,cs,nyu,edu diff --git a/src/data/compiled_bios/3215.txt b/src/data/compiled_bios/3215.txt new file mode 100644 index 0000000000..56f32035fb --- /dev/null +++ b/src/data/compiled_bios/3215.txt @@ -0,0 +1 @@ + Joe Versoza @ NYU Contact Joe Versoza (jversoza at cs dot nyu dot edu) Clinical Assistant Professor Computer Science Department Courant Institute of Mathematical Sciences 251 Mercer Street, Room 422 New York, New York 10012 Current Courses 2019 - Spring CSCI-UA.0002-002 and 008 - Introduction to Computer programming - section 002 and 008 CSCI-UA.0480-008 - Special Topics - Applied Internet Technology - section 008 Interests Hi. Some things I'm into right now : Developing modern web applications, both on the server and client side Internet culture and glitch/net inspired art Integrating programming/developer tools into computer science education Creating and playing games - from casual computer games to intricate desktop board games Drop by if you want to: Pick up some fancy vim commands Talk about Python or JavaScript Need some help with the commandline Practice your interview skills Make a bunch of animated gifs Teaching Archives 2018 - Fall CSCI-UA.0480-001 and 003 - Special Topics - Applied Internet Technology - section 001 and 003 CSCI-UA.0480-007 - Special Topics - Data Management and Analysis - section 007 2018 - Summer CSCI-UA.0002-002 - Introduction to Computer programming - section 002 2018 - Spring CSCI-UA.0480-008 - Special Topics - Applied Internet Technology - section 008 CSCI-UA.0002-002 - Introduction to Computer programming - section 002 CSCI-UA.0002-008 - Introduction to Computer programming - section 008 2017 - Fall CSCI-GA.1120-001 - Graduate Course - Introduction to Programming CSCI-UA.0480 - Special Topics - Applied Internet Technology - section 003 CSCI-UA.0480 - Special Topics - Applied Internet Technology - section 007 2017 - Summer CSCI-UA.0002-001 - Introduction to Computer Programming - section 001 2017 - Spring CSCI-UA.0002-002 - Introduction to Computer Programming - section 002 CSCI-UA.0002-008 - Introduction to Computer Programming - section 008 CSCI-UA.0480-008 - Special Topics - Applied Internet Technology - section 008 2016 - Fall CSCI-UA.0480-001 - Special Topics - Applied Internet Technology - section 001 CSCI-UA.0480-007 - Special Topics - Applied Internet Technology - section 007 CSCI-UA.0002-008 - Introduction to Computer Programming - section 008 2016 - Spring CSCI-UA.0101-004 - Introduction to Computer Science - section 004 CSCI-UA.0380-004 - Topics of General Interest - Python for Applications - section 004 CSCI-UA.0480-010 - Special Topics - Applied Internet Technology - section 0l0 2015 - Fall CSCI-UA.0002-008 - Introduction to Computer Programming - section 008 CSCI-UA.0002-010 - Introduction to Computer Programming - section 010 CSCI-UA.0480-001 - Special Topics - Applied Internet Technology - section 001 2015 - Spring CSCI-UA.0002-007 - Introduction to Computer Programming - section 007 CSCI-UA.0002-008 - Introduction to Computer Programming - section 008 CSCI-UA.0101-004 - Introduction to Computer Science - section 004 2014 - Fall CSCI-UA.0002-001 - Introduction to Computer Programming - section 001 CSCI-UA.0002-010 - Introduction to Computer Programming - section 010 CSCI-UA.0480-002 - Special Topics - Applied Internet Technology - section 002 2014 - Spring CSCI-UA.0002 - Introduction to Computer Programming (NYU) MTEC1002 - Media Skills Lab, Programming Tools (New York City College of Technology, CUNY) 2013 - Fall CSCI-UA.0002 - Introduction to Computer Programming (NYU) 2013 - Spring CSCI-UA.0002 - Introduction to Computer Programming, Courant, New York University (NYU) MTEC1002 - Media Skills Lab, Programming Tools (New York City College of Technology, CUNY) 2012 - Fall CSCI-UA.0002 - Introduction to Computer Programming (NYU) 2012 - Spring MTEC2002 - Media Skills Lab, Python (New York City College of Technology, CUNY) Workshops 2014 ITP Camp Python Basics Intro to Node and Express Using vim GitHub and GitHub Pages 2011 PyGotham 2011, NYC Python Conference - Python Basics 2012 PyGotham 2012, NYC Python Conference - Introduction to Python / Notable Features diff --git a/src/data/compiled_bios/3216.txt b/src/data/compiled_bios/3216.txt new file mode 100644 index 0000000000..fb847e4741 --- /dev/null +++ b/src/data/compiled_bios/3216.txt @@ -0,0 +1 @@ + Michael Walfish I am an associate professor at NYU in the Computer Science department in the Courant Institute. I was most recently at The University of Texas at Austin , where I spent 4.5 highly enjoyable years as an assistant professor, in the LASR research group, in the Computer Science department. I am working on a startup, Walrus Security . My interests are in computer systems, security, and networks. Here is a bio . Teaching Spring 2016 CSCI-UA.0480: Advanced Computer Systems Fall 2015 CSCI-GA.3250: Honors Operating Systems Spring 2015 CSCI-UA.0202: Operating Systems Fall 2014 CSCI-GA.3250: Honors Operating Systems Archived UT classes Spring 2013 CS439: Principles of Computer Systems Spring 2012 CS372H: Introduction to Operating Systems: Honors Spring 2011 CS372H: Introduction to Operating Systems: Honors Fall 2010 CS395T: Operating Systems Implementation Spring 2010 CS372H: Introduction to Operating Systems: Honors Fall 2009 CS395T: Operating Systems Implementation Spring 2009 CS395T: Topics in Secure and Distributed Storage Systems Papers Research Projects Advisees Professional service Contact Information Room 412 60 Fifth Avenue New York, NY 10011 tel: +1 212-998-3244 [but I do not use voicemail and telephone is not a great way to get in touch.] email: my user name is mwalfish. the domain is cs.nyu.edu. diff --git a/src/data/compiled_bios/3217.txt b/src/data/compiled_bios/3217.txt new file mode 100644 index 0000000000..e0f935e599 --- /dev/null +++ b/src/data/compiled_bios/3217.txt @@ -0,0 +1 @@ + Toggle navigation Thomas Wies Home Research Teaching Professional Activities Publications New York University COURANT - Computer Science I am an Associate Professor in the NYU Computer Science Department and a member of the Analysis of Computer Systems Group in the Courant Institute . See my curriculum vitae for further details. Our group is looking for new Ph.D. students. Consider applying to our Ph.D. program . Contact wies at cs.nyu.edu +1 (212) 998 3293 60 Fifth Avenue Room 403 New York, NY 10011 Group Members Postdocs Yan Shvartzshnaider Ph.D. Students Mark Goldstein Siddharth Krishna Nisarg Patel Zvonimir Pavlinovic Group Alumni Kshitij Bansal (co-advisor) Chanseok Oh Daniel Schwartz-Narbonne Wei Wang (co-advisor) I am an Associate Professor in the NYU Computer Science Department and a member of the Analysis of Computer Systems Group in the Courant Institute . See my curriculum vitae for further details. Our group is looking for new Ph.D. students. Consider applying to our Ph.D. program . Research My research focuses on program analysis and verification, automated deduction, concurrent software, and software productivity. Selected Publications Go with the Flow: Compositional Abstractions for Concurrent Data Structures pdf S. Krishna, D. Shasha, and T. Wies In Proceedings of ACM Symposium on the Principles of Programming Languages (POPL) , 2018 Full accounting for verifiable outsourcing pdf R. Wahby, Y. Ji, A.J. Blumberg, a. shelat, J. Thaler, M. Walfish, and T. Wies In Proceedings of ACM Conference on Computer and Communications Security (CCS) , 2017 Partitioned Memory Models for Program Analysis pdf W. Wang, C. Barrett, and T. Wies In Proceedings of Verification, Model Checking, and Abstract Interpretation (VMCAI) , 2017 Error Invariants for Concurrent Traces pdf A. Holzer, D. Schwartz-Narbonne, M. Tabaei, G. Weissenbacher, and T. Wies In Proceedings of International Symposium on Formal Methods (FM) , 2016 Complete Instantiation-Based Interpolation pdf N. Totla and T. Wies Journal of Automated Reasoning, 57(1) , 2016 Deciding Local Theory Extensions via E-Matching pdf K. Bansal, T. King, A. Reynolds, C. Barrett, and T. Wies In Proceedings of Computer Aided Verification (CAV) , 2015 Finding Minimum Type Error Sources pdf Best Paper Award Z. Pavlinovic, T. King, and T. Wies In Proceedings of ACM SIGPLAN International Conference on Object Oriented Programming Systems, Languages, and Applications (OOPSLA) , 2014 Automating Separation Logic using SMT pdf R. Piskac, T. Wies, and D. Zufferey In Proceedings of Computer Aided Verification (CAV) , 2013 Complete list of publications Selected Invited Talks and Lectures 16th International Workshop on Satisfiability Modulo Theories , Oxford, UK, July 2018. Summer School on Verification Technology, Systems, & Applications , Saarbrcken, Germany, July-August 2017. International Summer School on Satisfiability, Satisfiability Modulo Theories, and Automated Reasoning , Lisbon, Portugal, June 2016. International Workshop on Verification of Infinite-State Systems , Bangalore, India, December 2014. International Conference on Verification, Model Checking, and Abstract Interpretation , San Diego, CA, USA, January 2014. International Workshop on the Future of Debugging , Lugano, Switzerland, July 2013. Tools As a byproduct of my research, I have developed and contributed to a number of tools. GRASShopper A verification tool that checks functional correctness of programs manipulating heap-allocated data structures. Vermeer An automated debugging tool that traces and explains faults in C programs. Picasso A static analyzer for depth-bounded concurrent systems. It has been used to verify properties of non-blocking concurrent data structures and distributed message passing algorithms with an unbounded number of threads and messages. Jahob A verification system for programs written in a subset of Java. Using Jahob, developers can statically prove that methods satisfy their contracts in all possible executions, as well as that they preserve essential structural invariants and design constraints. Bohne A symbolic shape analysis tool. It infers loop invariants of programs manipulating heap-allocated data structures. Bohne is integrated into the Jahob verification system. SLAyer A tool for automatic formal verification of industrial low-level software components. SLAyer is being developed at Microsoft Research Cambridge . HAVOC A tool for specifying and checking properties of systems software written in C, in the presence of pointer manipulations, unsafe casts and dynamic memory allocation. HAVOC is being developed at Microsoft Research Redmond . Teaching Programming Languages (graduate) Spring 2019 Fall 2018 Fall 2012 Object-Oriented Programming (graduate) Spring 2018 Object-Oriented Programming (undergraduate) Fall 2017 Spring 2017 Fall 2013 Principles of Programming Languages (undergraduate) Fall 2016 Fall 2015 Spring 2015 Rigorous Software Development (graduate) Spring 2016 Spring 2013 Spring 2012 Programming Paradigms for Concurrency (graduate) Spring 2014 Professional Activities Organizer Fellowship chair of CAV 2019 Program co-chair of VSTTE 2017 Program chair of TAPAS 2017 Program co-chair of WING 2012 Program Committee Member POPL 2020 TACAS 2019 CAV 2018 , TACAS 2018 , VMCAI 2018 , VSTTE 2018 , ADSL 2018 ECOOP 2017 , TACAS 2017 , TMPA 2017 , VSTTE 2017 (co-chair) , CREST 2017 , CONCUR 2017 , Onward! 2017 , TAPAS 2017 (chair) POPL 2016 (ERC) , VMCAI 2016 , CAV 2016 VMCAI 2015 POPL 2014 , SMT 2014 , FOOL 2014 VSTTE 2013 WING 2012 (co-chair), BOOGIE 2012 , FTfJP 2012 , SAS 2012 , VSTTE 2012 WING 2010 WING 2009 Publications See also my DBLP entry for a complete list of my publications. In Conferences Go with the Flow: Compositional Abstractions for Concurrent Data Structures pdf S. Krishna, D. Shasha, and T. Wies In Proceedings of ACM Symposium on the Principles of Programming Languages (POPL) , 2018 Full accounting for verifiable outsourcing pdf R. Wahby, Y. Ji, A.J. Blumberg, a. shelat, J. Thaler, M. Walfish, and T. Wies In Proceedings of ACM Conference on Computer and Communications Security (CCS) , 2017 Partitioned Memory Models for Program Analysis pdf W. Wang, C. Barrett, and T. Wies In Proceedings of Verification, Model Checking, and Abstract Interpretation (VMCAI) , 2017 Learning Privacy Expectations by Crowdsourcing Contextual Informational Norms pdf Y. Shvartzshnaider, S. Tong, T. Wies, P. Kift, H. Nissenbaum, L. Subramanian, and P. Mittal In Proceedings of AAAI Conference on Human Computation and Crowdsourcing (HCOMP) , 2016 Error Invariants for Concurrent Traces pdf A. Holzer, D. Schwartz-Narbonne, M. Tabaei, G. Weissenbacher, and T. Wies In Proceedings of International Symposium on Formal Methods (FM) , 2016 Classifying Bugs with Interpolants pdf A. Podelski, M. Schf, and T. Wies In Proceedings of Tests and Proofs (TAP) , 2016 Practical SMT-Based Type Error Localization pdf Z. Pavlinovic, T. King, and T. Wies In Proceedings of ACM SIGPLAN International Conference on Functional Programming (ICFP) , 2015 Deciding Local Theory Extensions via E-Matching pdf K. Bansal, T. King, A. Reynolds, C. Barrett, and T. Wies In Proceedings of Computer Aided Verification (CAV) , 2015 VERMEER: A Tool for Tracing and Explaining Faulty C Programs pdf D. Schwartz-Narbonne, C. Oh, M. Schf, and T. Wies In Proceedings of International Conference on Software Engineering (ICSE), Demonstrations Track , 2015 Context-Directed Graph Coverage pdf D. Schwartz-Narbonne, M. Schf, D. Jovanovi, P. Rmmer, and T. Wies In Proceedings of NASA Formal Methods (NFM) , 2015 Finding Minimum Type Error Sources pdf Best Paper Award Z. Pavlinovic, T. King, and T. Wies In Proceedings of ACM SIGPLAN International Conference on Object Oriented Programming Systems, Languages, and Applications (OOPSLA) , 2014 Concolic Fault Abstraction pdf C. Oh, M. Schf, D. Schwartz-Narbonne, and T. Wies In Proceedings of IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM) , 2014 Automating Separation Logic with Trees and Data pdf R. Piskac, T. Wies, and D. Zufferey In Proceedings of Computer Aided Verification (CAV) , 2014 Dynamic Package Interfaces pdf S. Esmaeilsabzali, R. Majumdar, T. Wies, and D. Zufferey In Proceedings of Fundamental Approaches to Software Engineering (FASE) , 2014 GRASShopper: Complete Heap Verification with Mixed Specifications pdf R. Piskac, T. Wies, and D. Zufferey In Proceedings of Tools and Algorithms for the Construction and Analysis of Systems (TACAS) , 2014 Cascade 2.0 pdf W. Wang, C. Barrett, and T. Wies In Proceedings of VMCAI , 2014 Explaining Inconsistent Code pdf M. Schf, T. Wies, and D. Schwartz-Narbonne In Proceedings of ACM SIGSOFT Symposium on the Foundations of Software Engineering (ESEC/FSE) , 2013 Automating Separation Logic using SMT pdf R. Piskac, T. Wies, and D. Zufferey In Proceedings of Computer Aided Verification (CAV) , 2013 Structural Counter Abstraction pdf K. Bansal, E. Koskinen, T. Wies, and D. Zufferey In Proceedings of TACAS , 2013 Flow-Sensitive Fault Localization pdf J. Christ, E. Ermis, M. Schf, and T. Wies In Proceedings of Verification, Model Checking, and Abstract Interpretation (VMCAI) , 2013 Complete Instantiation-Based Interpolation pdf N. Totla and T. Wies In Proceedings of ACM Symposium on the Principles of Programming Languages (POPL) , 2013 Error Invariants pdf E. Ermis, M. Schf, and T. Wies In Proceedings of Formal Methods (FM) , 2012 Ideal Abstractions for Well-Structured Transition Systems pdf D. Zufferey, T. Wies, and T.A. Henzinger In Proceedings of Verification, Model Checking, and Abstract Interpretation (VMCAI) , 2012 Deciding Functional Lists with Sublist Sets pdf T. Wies, M. Muiz, and V. Kuncak In Proceedings of Verified Software: Theories, Tools, Experiments (VSTTE) , 2012 An Efficient Decision Procedure for Imperative Tree Data Structures pdf T. Wies, M. Muiz, and V. Kuncak In Proceedings of Conference on Automated Deduction (CADE-23) , 2011 Scheduling Large Jobs by Abstraction Refinement pdf T.A. Henzinger, V. Singh, T. Wies, and D. Zufferey In Proceedings of European Conference on Computer Systems (EuroSys) , 2011 Decision Procedures for Automating Termination Proofs pdf R. Piskac and T. Wies In Proceedings of Verification, Model Checking, and Abstract Interpretation (VMCAI) , 2011 A Marketplace for Cloud Computing pdf T.A. Henzinger, V. Singh, A. Tomar, T. Wies, and D. Zufferey In Proceedings of International Conference on Embedded Systems (EMSOFT) , 2010 FlexPRICE: Flexible Provisioning of Resources in a Cloud Environment pdf T.A. Henzinger, V. Singh, A. Tomar, T. Wies, and D. Zufferey In Proceedings of IEEE International Conference on Cloud Computing (IEEE CLOUD) , 2010 Forward Analysis of Depth-Bounded Processes pdf T. Wies, D. Zufferey, and T.A. Henzinger In Proceedings of Foundations of Software Science and Computation Structures (FoSSaCS) , 2010 Counterexample-guided focus pdf slides A. Podelski and T. Wies In Proceedings of ACM Symposium on the Principles of Programming Languages (POPL) , 2010 Building a Calculus of Data Structures pdf V. Kuncak, R. Piskac, P. Suter, and T. Wies In Proceedings of Verification, Model Checking, and Abstract Interpretation (VMCAI) , 2010 Combining Theories with Shared Set Operations pdf slides T. Wies, R. Piskac, and V. Kuncak In Proceedings of Symposium on Frontiers of Combining Systems (FroCoS) , 2009 Abstraction Refinement for Quantified Array Assertions pdf M.N. Seghir, A. Podelski, and T. Wies In Proceedings of Static Analysis Symposium (SAS) , 2009 It's Doomed; We Can Prove It pdf J. Hoenicke, K.R.M. Leino, A. Podelski, M. Schf, and T. Wies In Proceedings of Formal Methods (FM) , 2009 Intra-module Inference pdf S.K. Lahiri, S. Qadeer, J.P. Galeotti, J.W. Voung, and T. Wies In Proceedings of Computer Aided Verification (CAV) , 2009 Heap Assumptions on Demand pdf A. Podelski, A. Rybalchenko, and T. Wies In Proceedings of Computer Aided Verification (CAV) , 2008 Shape Analysis for Composite Data Structures pdf J. Berdine, C. Calcagno, B. Cook, D. Distefano, P.W. O'Hearn, T. Wies, and H. Yang In Proceedings of Computer Aided Verification (CAV) , 2007 Using First-Order Theorem Provers in the Jahob Data Structure Verification System pdf C. Bouillaguet, V. Kuncak, T. Wies, K. Zee, and M.C. Rinard In Proceedings of Verification, Model Checking, and Abstract Interpretation (VMCAI) , 2007 Field Constraint Analysis pdf T. Wies, V. Kuncak, P. Lam, A. Podelski, and M. Rinard In Proceedings of Verification, Model Checking, and Abstract Interpretation (VMCAI) , 2006 Boolean Heaps pdf A. Podelski and T. Wies In Proceedings of Static Analysis Symposium (SAS) , 2005 In Journals Complete Instantiation-Based Interpolation pdf N. Totla and T. Wies Journal of Automated Reasoning, 57(1) , 2016 Preface - Invariant Generation pdf G. Grov and T. Wies Science of Computer Programming (SCICO), 93 , 2014 Doomed Program Points pdf J. Hoenicke, K.R.M. Leino, A. Podelski, M. Schf, and T. Wies Formal Methods in System Design (FMSD), 37(2-3) , 2010 In Workshops RECIPE: Applying Open Domain Question Answering to Privacy Policies pdf Y. Shvartzshanider, A. Balashankar, T. Wies, and L. Subramanian To appear in Proceedings of Proceedings of the Workshop on Machine Reading for Question Answering@ACL , 2018 (EC)^2 in EC2 pdf T.A. Henzinger, A.V. Singh, V. Singh, T. Wies, and D. Zufferey In Proceedings of Workshop on Exploiting Concurrency Efficiently and Correctly (EC^2) , 2011 Static Scheduling in Clouds pdf T.A. Henzinger, A.V. Singh, V. Singh, T. Wies, and D. Zufferey In Proceedings of USENIX Workshop on Hot Topics in Cloud Computing (HotCloud) , 2011 Verifying Complex Properties using Symbolic Shape Analysis pdf T. Wies, V. Kuncak, K. Zee, A. Podelski, and M. Rinard In Proceedings of Workshop on Heap Analysis and Verification (HAV) , 2007 Thesis Symbolic Shape Analysis pdf T. Wies University of Freiburg, Freiburg, Germany, 2009 Technical Reports Go with the Flow: Compositional Abstractions for Concurrent Data Structures (Extended Version) pdf S. Krishna, D. Shasha, and T. Wies arXiv Technical Report, arXiv:1711.032722017 On Structural Counter Abstraction pdf K. Bansal, E. Koskinen, T. Wies, and D. Zufferey NYU Technical Report, TR2012-9472013 Automating Separation Logic Using SMT pdf R. Piskac, T. Wies, and D. Zufferey NYU Technical Report, TR2013-9542013 Complete Instantiation-Based Interpolation pdf N. Totla and T. Wies NYU Technical Report, TR2012-9502012 On An Efficient Decision Procedure for Imperative Tree Data Structures pdf T. Wies, M. Muiz, and V. Kuncak IST Technical Report, IST-2011-00052011 On Deciding Functional Lists with Sublist Sets pdf T. Wies, M. Mu\~n, and V. Kuncak EPFL Technical Report, EPFL-REPORT-1483612010 On Combining Theories with Shared Set Operations pdf T. Wies, R. Piskac, and V. Kuncak EPFL Technical Report, LARA-REPORT-2009-0022009 On Set-Driven Combination of Logics and Verifiers pdf T. Wies and V. Kuncak EPFL Technical Report, LARA-REPORT-2009-0012009 On Field Constraint Analysis pdf T. Wies, V. Kuncak, P. Lam, A. Podelski, and M. Rinard MIT CSAIL Technical Report, MIT-CSAIL-TR-2005-072, MIT-LCS-TR-10102005 Home Research Selected Publications Selected Invited Talks Tools Teaching Professional Activities Organizer Program Committee Member Publications Conferences Journals Workshops Thesis Techical Reports diff --git a/src/data/compiled_bios/3218.txt b/src/data/compiled_bios/3218.txt new file mode 100644 index 0000000000..05bf68d340 --- /dev/null +++ b/src/data/compiled_bios/3218.txt @@ -0,0 +1 @@ + Margaret H. Wright Computer Science Department Courant Institute of Mathematical Sciences New York University Phone (212) 998-3056 Email mhw at cs.nyu.edu or equivalently at cims.nyu.edu Office Warren Weaver Hall 430 Mail Address Computer Science Department Courant Institute New York University 251 Mercer Street New York, NY 10012 Research Interests Optimization, linear algebra, scientific computing, and their applications Selected Publications Practical Optimization (with P. Gill and W. Murray). Academic Press, 1981. Numerical Linear Algebra and Opimization (with P. Gill and W. Murray), Addison Wesley, 1991. Ill-conditioning and computational error in interior methods for nonlinear programming, SIAM Journal on Optimization 9, 84--111, 1998. SIAM Journal on Optimization Convergence properties of the Nelder-Mead simplex algorithm in low dimensions (with J. Lagarias, J. Reeds, and P. Wright), SIAM Journal on Optimization 9, 112--147, 1998. SIAM Journal on Optimization Interior methods for nonlinear optimization (with A. Forsgren and P. Gill), SIAM Review 44, 525--597, 2002. SIAM Review. The interior-point revolution in optimization: history, recent developments, and lasting consequences, Bulletin of the American Mathematical Society 42, 39--56, 2005. AMS Bulletin. Convergence of the restricted Nelder--Mead algorithm in two dimensions (with J. Lagarias and B. Poonen). SIAM Journal on Optimization 22, 501--532, 2012. SIAM Journal on Optimization Nelder, Mead, and the other simplex method. Documenta Mathematica , special volume (``Optimization Stories''), 271--276, 2012. Documenta Mathematica. Selected Professional Activities Chair, International Review of Mathematical Sciences Research, United Kingdom, 2010. Scientific Advisory Board, Matheon, Berlin, Germany. Scientific Advisory Board, Stony Brook University Institute for Advanced Computational Science. Senior Fellow, Simons Society of Fellows, Simons Foundation. Teaching Introduction to Numerical Optimization, CSCI-UA-0480-001, fall semester 2018 Numerical Computing, CSCI-UA.0421, spring semester 2018. Return to CIMS Home Page / CS Home Page diff --git a/src/data/compiled_bios/3219.txt b/src/data/compiled_bios/3219.txt new file mode 100644 index 0000000000..63d562142d --- /dev/null +++ b/src/data/compiled_bios/3219.txt @@ -0,0 +1 @@ + Chee Yap (mobile friendly webpage) Changes (Group) Main / \ Main HomePage Welcome to my home page! I am a Professor in the Department of Computer Science of Courant Institute of Mathematical Science at New York University. Contact Fall 2018 * Tel : (212)998-3115 * Fax : (212)995-4121 * Email : yap(at)cs(dot)nyu(dot)edu * Office : 301, Warren Weaver Hall * Mail : 251, Mercer Street, New York, NY 10012 Office Hours: none * I am away on sabbatical: (Sep 2017 - Apr 2018, Nanning) (Apr 2018 - Aug 2018, Beijing) (Sep 2018 - Jan 2019, Lugano) Welcome Research Teaching Publication Talks Activities Edit | History | Recent Changes (all) | Search Page last modified on July 27, 2018, at 11:27 AM PmWiki/Adapt/Yap2 diff --git a/src/data/compiled_bios/322.txt b/src/data/compiled_bios/322.txt new file mode 100644 index 0000000000..f5d54691fc --- /dev/null +++ b/src/data/compiled_bios/322.txt @@ -0,0 +1 @@ +Name: Becker, Eric:: Position: Senior Lecturer:: Degrees: Ph.D., Computer Science and Engineering, University of Texas at Arlington, 2010; M.S., Computer Science and Engineering, University of Texas at Arlington, 2000; B.S., Computer Science and Engineering, University of Texas at Arlington, 1995; Research Interests: Wireless Sensor Networks and the Internet of things; Virtual Reality; Assistive Technology and Pervasive Technology; Recent Awards: Engineering College Nominee for Best Instructor, University of Texas at Arlington, 2016; Representative Publications: Benjamin Chebaa, Alexandros Lioulemes, Maher Abujelala, Dylan Ebert, Scott Phan, Eric Becker, Fillia Makedon: Multimodal Analysis of Serious Games for Cognitive and Physiological Assessment. PETRA 2016: 30; Shawn N. Gieser, Peter Sassaman, Eric Becker, Fillia Makedon: Pot hunter: a virtual reality game for analyzing range of motion. PETRA 2015: 3:1-3:4; Shawn N. Gieser, Eric Becker, Fillia Makedon: Using CAVE in physical rehabilitation exercises for rheumatoid arthritis. PETRA 2013: 30:1-30:4; Michael Gardner, Vangelis Metsis, Eric Becker, Fillia Makedon: Modeling the effect of attention deficit in game-based motor ability assessment of Cerebral Palsy patients. PETRA 2013: 65:1-65:8; Charalampos Doukas, Vangelis Metsis, Eric Becker, Zhengyi Le, Fillia Makedon, Ilias Maglogiannis: Digital cities of the future: Extending @home assistive technologies for the elderly and the disabled. Telematics and Informatics 28(3): 176-190 (2011); Notable Service: Program Committee, Petra 2017; Program Committee, Petra Conference 2016; Doctoral Consortium Chair, Petra Conference 2016; Undergraduate Advisor, University of Texas at Arlington, 2012-2016; diff --git a/src/data/compiled_bios/3220.txt b/src/data/compiled_bios/3220.txt new file mode 100644 index 0000000000..443137850b --- /dev/null +++ b/src/data/compiled_bios/3220.txt @@ -0,0 +1 @@ + Professor (clinical) Computer Science Department Courant Institute of Mathematical Sciences NYU Office: WWH 320 251 Mercer street, Manhattan, NY, 10012 Main Students Publications Research Teaching Best way to reach me! mzahran (AT) acm DOT org Twitter: @MohamedMZahran Ph.D.: Electrical and Computer Engineering , University of Maryland at College Park, 2003. Research Interests: Heterogeneous architectures and the road to exascale computing Hardware/Software interaction AI support for architecture (and sometimes the other way around!) Teaching: Multicore Processors: Architecture & Programming (Fall 12, Fall 2013, Fall 2014, Spring 2016, Spring 2017, Spring 2018, Spring 2018) GPUs: Architecture and Programming (Spring 12, Fall 2013, Fall 2014, Fall 2015, Fall 2016, Fall 2017, Fall 2018) Parallel Computing (Spring 2014, Spring 2015, Spring 2017, Spring 2018, Spring 2019) Virtual Machines: Concepts & Applications (Spring 2014, Spring 2017) Computer Systems Organization (Spring 13, Fall 2013, Fall 2014, Spring 2015, Fall 2015, Fall 2016, Fall 2017, Fall 2018 ) Operating Systems (Fall 11, Spring 13) Compilers Construction (Spring 10, Fall10, Spring11, Spring 12, Fall 12) Professional Activities Steering Committee: (2018-2019) IEEE Transactions on Multi-Scale Computing Systems Program Review Panelist: Department of Energy PC member: IPDPS 2019 , SC 2019 , CF 2019 CF 2018 HPCA 2017 CF 2017 IPDPS 2016 , CF 2016 , IPDPS 2015 , CF 2015 , NPC 2014 , EUC 2013, HiPC 2013 , EUC 2012, ICS 2011 , older: CGO 2010, IPDPS 2010 , HPCC 2009, CSA 2009, ICM 2009, iWAPT 2009 Guest co-editor of ACM SIGOPS Special issue on the interaction of multicore, compilers, and operating systems (April 2009). Publicity Chair of : CF 2014 , PACT 2009 Publication Chair: CF 2011 , CF 2013 Workshops/tutorials co-chair ICS 2009 Detailed CV My Reviews at Computing Reviews website ( You mat want to login or register) Biography: Mohamed Zahran received his Ph.D. in Electrical and Computer Engineering from University of Maryland at College Park in 2003. He is currently a faculty member with the Computer Science Department at NYU . His research interest spans several aspects of computer architecture, such as architecture of heterogeneous systems, hardware/software interaction, and high-performance computing.Zahran is a senior member of IEEE, senior member of ACM, and Sigma Xi scientific honor society. In case you have nothing better to do, here is a list of quotes Igathered from here and there. Academic Genealogy Mohamed Zahran, Ph.D. 2003, University of Maryland-College Park Manoj Franklin, Ph.D. 1993, University of Wisconsin-Madison Gurindar Sohi, Ph.D. 1985, UIUC Edward S. Davidson, Ph.D. 1968, UIUC Gernot Metz, Ph.D. 1958, UIUC Sundaram Seshu, Ph.D. 1955, UIUC Willis Emery, Ph.D. 1947, Iowa State University John Ryde, Ph.D. 1945, Iowa State University Wallace L. Cassell, (no Ph.D.) B.Sc. 1922, University of Colorado at Boulder Page last modified by Mohamed Zahranin Sep 2019 diff --git a/src/data/compiled_bios/3221.txt b/src/data/compiled_bios/3221.txt new file mode 100644 index 0000000000..69031f7476 --- /dev/null +++ b/src/data/compiled_bios/3221.txt @@ -0,0 +1 @@ + Geometric Computing Lab @ NYU Geometric Computing Lab @ NYU Github Denis Zorin Professor of Computer Science and Mathematics Chair, Computer Science Department Courant Institute of Mathematical Sciences Contact Info: New York University 60 5th Ave, 5th floor New York, NY 10011 Phone: +1 (212) 998-3405 Email (administrative matters): cs-chair@cs.nyu.edu Email: dzorin@cs.nyu.edu Research Interests Geometric modeling: subdivision surfaces, variational modeling, manifold constructions, interactive and appearance based modeling, discretization of geometric quantities. Scientific computing: Fast multipole methods, numerical solution of integral equations, fluid and deformable membrane simulation, parallel algorithms and software tools. Publications Parallel contact-aware simulations of deformable particles in 3D Stokes flow Libin Lu, Abtin Rahimian , Denis Zorin , Arxiv (submitted), 2018 We present a parallel-scalable method for simulating non-dilute suspensions of deformable particles immersed in Stokesian fluid in three dimensions. A critical component in these simulations is robust and accurate collision handling. This work complements our previous work [L. Lu, A. Rahimian, and D. Zorin. Contact-aware simulations of particulate Stokesian suspensions. Journal of Computational Physics 347C: 160-182] by extending it to 3D and by introducing new parallel algorithms for collision detection and handling. We use a well-established boundary integral formulation with spectral Galerkin method to solve the fluid flow. The key idea is to ensure an interference-free particle configuration by introducing explicit contact constraints into the system. While such constraints are typically unnecessary in the formulation they make it possible to eliminate catastrophic loss of accuracy in the discretized problem by preventing contact explicitly. The incorporation of contact constraints results in a significant increase in stable time-step size for locally-implicit time-stepping and a reduction in the necessary number of discretization points for stability. Our method maintains the accuracy of previous methods at a significantly lower cost for dense suspensions and the time step size is independent from the volume fraction. Our method permits simulations with high volume fractions; we report results with up to 60% volume fraction. We demonstrated the parallel scaling of the algorithms on up to 16K CPU cores. [ Paper ] Poly-Spline Finite Element Method Teseo Schneider , Jeremie Dumas , Xifeng Gao , Mario Botsch, Daniele Panozzo , Denis Zorin , Arxiv (submitted), 2018 We introduce an integrated meshing and finite element method pipeline enabling black-box solution of partial differential equations in the volume enclosed by a boundary representation. We construct a hybrid hexahedral-dominant mesh, which contains a small number of star-shaped polyhedra, and build a set of high-order basis on its elements, combining triquadratic B-splines, triquadratic hexahedra (27 degrees of freedom), and harmonic elements. We demonstrate that our approach converges cubically under refinement, while requiring around 50% of the degrees of freedom than a similarly dense hexahedral mesh composed of triquadratic hexahedra. We validate our approach solving Poisson's equation on a large collection of models, which are automatically processed by our algorithm, only requiring the user to provide boundary conditions on their surface. [ Paper ] [ Code ] Quadrangulation of non-rigid objects using deformation metrics Jiaran Zhou, Marcel Campen , Denis Zorin , Changhe Tu, Claudio T. Silva , Computer Aided Geometric Design , 2018 We present a novel method to generate quad meshes for non-rigid objects. Our method takes into account the geometry of a collection of key poses in one-to-one correspondence or even an entire animation sequence. From this input, on a common computational domain, an extremal metric is computed that captures the local worst case behavior in terms of distortion as the object undergoes deformation. An anisotropic, non-uniformly sized quad mesh is then generated based on this metric. This mesh avoids undersampling when deformed into any of the poses specified in the input and thus reduces artifacts. Hence, in contrast to previous approaches which target static geometry, our method aims to optimize the mesh's adaptation to the shape for every pose expected during animation or deformation rather than for one specific reference state. [ Paper ] Seamless Parametrization with Arbitrarily Prescribed Cones Marcel Campen , Hanxiao Shen, Jiaran Zhou, Denis Zorin , Arxiv (submitted), 2018 Seamless global parametrization of surfaces is a key operation in geometry processing, e.g. for high-quality quad mesh generation. A common approach is to prescribe the parametric domain structure, in particular the locations of parametrization singularities (cones), and solve a non-convex optimization problem minimizing a distortion measure, with local injectivity imposed through either constraints or barrier terms. In both cases, an initial valid parametrization is essential to serve as feasible starting point for obtaining an optimized solution. While convexified versions of the constraints eliminate this initialization requirement, they narrow the range of solutions, causing some problem instances that actually do have a solution to become infeasible. We demonstrate that for arbitrary given sets of topologically admissible parametric cones with prescribed curvature, a global seamless parametrization always exists (with the exception of one well-known case). Importantly, our proof is constructive and directly leads to a general algorithm for computing such parametrizations. Most distinctively, this algorithm is bootstrapped with a convex optimization problem (solving for a conformal map), in tandem with a simple linear equation system (determining a seamless modification of this map). This initial map can then serve as valid starting point and be optimized with respect to application specific distortion measures using existing injectivity preserving methods. [ Paper ] Decoupling Simulation Accuracy from Mesh Quality Teseo Schneider , Yixin Hu , Jeremie Dumas , Xifeng Gao , Daniele Panozzo , Denis Zorin , ACM Transaction on Graphics (SIGGRAPH Asia) , 2018 For a given PDE problem, three main factors affect the accuracy of FEM solutions: basis order, mesh resolution, and mesh element quality. The first two factors are easy to control, while controlling element shape quality is a challenge, with fundamental limitations on what can be achieved. We propose to use p-refinement (increasing element degree) to decouple the approximation error of the finite element method from the domain mesh quality for elliptic PDEs. Our technique produces an accurate solution even on meshes with badly shaped elements, with a slightly higher running time due to the higher cost of high-order elements. We demonstrate that it is able to automatically adapt the basis to badly shaped elements, ensuring an error consistent with high-quality meshing, without any per-mesh parameter tuning. Our construction reduces to traditional fixed-degree FEM methods on high-quality meshes with identical performance. Our construction decreases the burden on meshing algorithms, reducing the need for often expensive mesh optimization and automatically compensates for badly shaped elements, which are present due to boundary constraints or limitations of current meshing methods. By tackling mesh generation and finite element simulation jointly, we obtain a pipeline that is both more efficient and more robust than combinations of existing state of the art meshing and FEM algorithms. [ Paper ] [ Code ] Tetrahedral Meshing in the Wild Yixin Hu , Qingnan Zhou , Xifeng Gao , Alec Jacobson , Denis Zorin , Daniele Panozzo , ACM Transaction on Graphics (SIGGRAPH) , 2018 We propose a novel tetrahedral meshing technique that is unconditionally robust, requires no user interaction, and can directly convert a triangle soup into an analysis-ready volumetric mesh. The approach is based on several core principles: (1) initial mesh construction based on a fully robust, yet efficient, filtered exact computation (2) explicit (automatic or user-defined) tolerancing of the mesh relative to the surface input (3) iterative mesh improvement with guarantees, at every step, of the output validity. The quality of the resulting mesh is a direct function of the target mesh size and allowed tolerance: increasing allowed deviation from the initial mesh and decreasing the target edge length both lead to higher mesh quality. Our approach enables "black-box" analysis, i.e. it allows to automatically solve partial differential equations on geometrical models available in the wild, offering a robustness and reliability comparable to, e.g., image processing algorithms, opening the door to automatic, large scale processing of real-world geometric data. [ Paper ] [ Code ] [ Figure Data ] [ 10k Input ] [ 10k Output Surface Meshes ] [ 10k Output Tetrahedral Meshes ] A Quantitative Perceptual Model for Tactile Roughness Chelsea Tymms , Esther P Gardner, Denis Zorin , ACM Transaction on Graphics , 2018 Everyone uses the sense of touch to explore the world, and roughness is one of the most important qualities in tactile perception. Roughness is a major identifier for judgments of material composition, comfort, and friction, and it is tied closely to manual dexterity. The advent of high-resolution 3D printing technology provides the ability to fabricate arbitrary 3D textures with surface geometry that confers haptic properties. In this work, we address the problem of mapping object geometry to tactile roughness. We fabricate a set of carefully designed stimuli and use them in experiments with human subjects to build a perceptual space for roughness. We then match this space to a quantitative model obtained from strain fields derived from elasticity simulations of the human skin contacting the texture geometry, drawing from past research in neuroscience and psychophysics. We demonstrate how this model can be applied to predict and alter surface roughness, and we show several applications in the context of fabrication. [ Paper ] A parameteric class of composites with a large achievable range of effective elastic properties Igor Ostanin, George Ovchinnikov, Davi Colli Tozoni, Denis Zorin , Journal of the Mechanics and Physics of Solids , 2018 In this paper we investigate numerically an instance of the problem of G-closure for two-dimensional periodic metamaterials. Specifically, we consider composites with isotropic homogenized elasticity tensor, obtained as a mixture of two isotropic materials, focusing on the case of a single material with voids. This problem is important, in particular, in the context of designing small-scale structures for metamaterials in the context of additive fabrication, as this type of metamaterials makes it possible to obtain a range of material properties using a single base material. We demonstrate that two closely related simple parametric families based on the structure proposed by O. Sigmund attain good coverage of the space of isotropic properties satisfying Hashin-Shtrikman bounds. In particular, for positive Poisson ratio, we demonstrate that Hashin-Shtrikman bound can be approximated arbitrarily well, within limits imposed by numerical approximation: a strong evidence that these bounds are achievable in this case. For negative Poisson ratios, we numerically obtain a bound which we hypothesize to be close to optimal, at least for metamaterials with rotational symmetries of a regular triangle tiling. [ Paper ] Tactile perception of the roughness of 3D-printed textures Chelsea Tymms , Denis Zorin , Esther P Gardner, Journal of Neurophysiology , 2017 Surface roughness is one of the most important qualities in haptic perception. Roughness is a major identifier for judgments of material composition, comfort, and friction and is tied closely to manual dexterity. Some attention has been given to the study of roughness perception in the past, but it has typically focused on noncontrollable natural materials or on a narrow range of artificial materials. The advent of high-resolution three-dimensional (3D) printing technology provides the ability to fabricate arbitrary 3D textures with precise surface geometry to be used in tactile studies. We used parametric modeling and 3D printing to manufacture a set of textured plates with defined element spacing, shape, and arrangement. Using active touch and two-alternative forced-choice protocols, we investigated the contributions of these surface parameters to roughness perception in human subjects. Results indicate that large spatial periods produce higher estimations of roughness (with Weber fraction_=_0.19), small texture elements are perceived as rougher than large texture elements of the same wavelength, perceptual differences exist between textures with the same spacing but different arrangements, and roughness equivalencies exist between textures differing along different parameters. We posit that papillary ridges serve as tactile processing units, and neural ensembles encode the spatial profiles of the texture contact area to produce roughness estimates. The stimuli and the manufacturing process may be used in further studies of tactile roughness perception and in related neurophysiological applications. [ Paper ] Contact-aware simulations of particulate Stokesian suspensions Libin Lu, Abtin Rahimian , Denis Zorin , Journal of Computational Physics , 2017 We present an efficient, accurate, and robust method for simulation of dense suspensions of deformable and rigid particles immersed in Stokesian fluid in two dimensions. We use a well-established boundary integral formulation for the problem as the foundation of our approach. This type of formulation, with a high-order spatial discretization and an implicit and adaptive time discretization, have been shown to be able to handle complex interactions between particles with high accuracy. Yet, for dense suspensions, very small time-steps or expensive implicit solves as well as a large number of discretization points are required to avoid non-physical contact and intersections between particles, leading to infinite forces and numerical instability. Our method maintains the accuracy of previous methods at a significantly lower cost for dense suspensions. The key idea is to ensure interference-free configuration by introducing explicit contact constraints into the system. While such constraints are unnecessary in the formulation, in the discrete form of the problem, they make it possible to eliminate catastrophic loss of accuracy by preventing contact explicitly. Introducing contact constraints results in a significant increase in stable time-step size for explicit time-stepping, and a reduction in the number of points adequate for stability. [ Paper ] Worst-case stress relief for microstructures Julian Panetta , Abtin Rahimian , Denis Zorin , ACM Transactions on Graphics (TOG) , 2017 Additive fabrication technologies are limited by the types of material they can print: while the technologies are continuously improving, still only a relatively small discrete set of materials can be used in each printed object. At the same time, the low cost of introducing geometric complexity suggests the alternative of controlling the elastic material properties by producing microstructures, which can achieve behaviors significantly differing from the solid printing material. While promising results have been obtained in this direction, fragility is a significant problem blocking practical applications, especially for achieving soft material properties: due to stress concentrations at thin joints, deformations and repeated loadings are likely to cause fracture. We present a set of methods to minimize stress concentrations in microstructures by evolving their shapes. First, we demonstrate that the worst-case stress analysis problem (maximizing a stress measure over all possible unit loads) has an exact solution for periodic microstructures. We develop a new, accurate discretization of the shape derivative for stress objectives and introduce a low-dimensional parametric shape model for microstructures. This model supports robust minimization of maximal stress (approximated by an Lp norm with high p) and an efficient implementation of printability constraints. In addition to significantly reducing stresses (by a typical factor of 5X), the new method substantially expands the range of effective material properties covered by the collection of structures. [ Paper ] Similarity maps and field-guided T-splines: a perfect couple Marcel Campen , Denis Zorin , ACM Transactions on Graphics (SIGGRAPH) , 2017 A variety of techniques were proposed to model smooth surfaces based on tensor product splines (e.g. subdivision surfaces, free-form splines, T-splines). Conversion of an input surface into such a representation is commonly achieved by constructing a global seamless parametrization, possibly aligned to a guiding cross-field (e.g. of principal curvature directions), and using this parametrization as domain to construct the spline-based surface. One major fundamental difficulty in designing robust algorithms for this task is the fact that for common types, e.g. subdivision surfaces (requiring a conforming domain mesh) or T-spline surfaces (requiring a globally consistent knot interval assignment) reliably obtaining a suitable parametrization that has the same topological structure as the guiding field poses a major challenge. Even worse, not all fields do admit suitable parametrizations, and no concise conditions are known as to which fields do. We present a class of surface constructions (T-splines with halfedge knots) and a class of parametrizations (seamless similarity maps) that are, in a sense, a perfect match for the task: for any given guiding field structure, a compatible parametrization of this kind exists and a smooth piecewise rational surface with exactly the same structure as the input field can be constructed from it. As a byproduct, this enables full control over extraordinary points. The construction is backward compatible with classical NURBS. We present efficient algorithms for building discrete conformal similarity maps and associated T-meshes and T-spline surfaces. [ Paper ] [ Code ] Surface Networks Ilya Kostrikov, Zhongshi Jiang , Daniele Panozzo , Denis Zorin , Joan Bruna , CVPR (Oral Presentation) , 2018 We study data-driven representations for three-dimensional triangle meshes, which are one of the prevalent objects used to represent 3D geometry. Recent works have developed models that exploit the intrinsic geometry of manifolds and graphs, namely the Graph Neural Networks (GNNs) and its spectral variants, which learn from the local metric tensor via the Laplacian operator. Despite offering excellent sample complexity and built-in invariances, intrinsic geometry alone is invariant to isometric deformations, making it unsuitable for many applications. To overcome this limitation, we propose several upgrades to GNNs to leverage extrinsic differential geometry properties of three-dimensional surfaces, increasing its modeling power. In particular, we propose to exploit the Dirac operator, whose spectrum detects principal curvature directions --- this is in stark contrast with the classical Laplace operator, which directly measures mean curvature. We coin the resulting model the \emph{Surface Network (SN)}. We demonstrate the efficiency and versatility of SNs on two challenging tasks: temporal prediction of mesh deformations under non-linear dynamics and generative models using a variational autoencoder framework with encoders/decoders given by SNs. [ Paper ] [ Supplemental ] [ Code ] On Discrete Conformal Seamless Similarity Maps Marcel Campen , Denis Zorin , Arxiv , 2017 An algorithm for the computation of global discrete conformal parametrizations with prescribed global holonomy signatures for triangle meshes was recently described in [Campen and Zorin 2017]. In this paper we provide a detailed analysis of convergence and correctness of this algorithm. We generalize and extend ideas of [Springborn et al. 2008] to show a connection of the algorithm to Newton's algorithm applied to solving the system of constraints on angles in the parametric domain, and demonstrate that this system can be obtained as a gradient of a convex energy [ Paper ] Ubiquitous evaluation of layer potentials using Quadrature by Kernel-Independent Expansion Abtin Rahimian , Alex Barnett, Denis Zorin , BIT Numerical Mathematics , 2016 We introduce a quadrature scheme QBKIX for the ubiquitous high-order accurate evaluation of singular layer potentials associated with general elliptic PDEs, i.e., a scheme that yields high accuracy at all distances to the domain boundary as well as on the boundary itself. Relying solely on point evaluations of the underlying kernel, our scheme is essentially PDE-independent; in particular, no analytic expansion nor addition theorem is required. Moreover, it applies to boundary integrals with singular, weakly singular, and hypersingular kernels. Our work builds upon quadrature by expansion, which approximates the potential by an analytic expansion in the neighborhood of each expansion center. In contrast, we use a sum of fundamental solutions lying on a ring enclosing the neighborhood, and solve a small dense linear system for their coefficients to match the potential on a smaller concentric ring. We test the new method with Laplace, Helmholtz, Yukawa, Stokes, and Navier (elastostatic) kernels in two dimensions (2D) using adaptive, panel-based boundary quadratures on smooth and corner domains. Advantages of the algorithm include its relative simplicity of implementation, immediate extension to new kernels, dimension-independence (allowing simple generalization to 3D), and compatibility with fast algorithms such as the kernel-independent FMM. [ Paper ] Scale-Invariant Directional Alignment of Surface Parametrizations Marcel Campen , Moritz Ibing, Hans-Christian Ebke, Denis Zorin , Leif Kobbelt , Computer Graphics Forum (SGP) , 2016 Various applications of global surface parametrization benefit from the alignment of parametrization isolines with principal curvature directions. This is particularly true for recent parametrization-based meshing approaches, where this directly translates into a shape-aware edge flow, better approximation quality, and reduced meshing artifacts. Existing methods to influence a parametrization based on principal curvature directions suffer from scale-dependence, which implies the necessity of parameter variation, or try to capture complex directional shape features using simple 1D curves. Especially for non-sharp features, such as chamfers, fillets, blends, and even more for organic variants thereof, these abstractions can be unfit. We present a novel approach which respects and exploits the 2D nature of such directional features, detects them based on coherence and homogeneity properties, and controls the parametrization process accordingly. This approach enables us to provide an intuitive, scale-invariant control parameter to the user. It also allows us to consider non-local aspects like the topology of a feature, enabling further improvements. We demonstrate that, compared to previous approaches, global parametrizations of higher quality can be generated without user intervention. [ Paper ] Interactive Modeling of Mechanical Objects Francisca Gil Ureta , Chelsea Tymms , Denis Zorin , Computer Graphics Forum (SGP) , 2016 Objects with various types of mechanical joints are among the most commonly built. Joints implement a vocabulary of simple constrained motions (kinematic pairs) that can be used to build more complex behaviors. Defining physically correct joint geometry is crucial both for realistic appearance of models during motion, as these are typically the only parts of geometry that stay in contact, and for fabrication. Direct design of joint geometry often requires more effort than the design of the rest of the object geometry, as it requires design of components that stay in precise contact, are aligned with other parts, and allow the desired range of motion. We present an interactive system for creating physically realizable joints with user-controlled appearance. Our system minimizes or, in most cases, completely eliminates the need for the user to manipulate low-level geometry of joints. This is achieved by automatically inferring a small number of plausible combinations of joint dimensions, placement and orientation from part geometry, with the user making the final high-level selection based on object semantic. Through user studies, we demonstrate that functional results with a satisfying appearance can be obtained quickly by users with minimal modeling experience, offering a significant improvement in the time required for joint construction, compared to standard modeling approaches. [ Paper ] A fast platform for simulating flexible fiber suspensions applied to cell mechanics Ehssan Nazockdast, Abtin Rahimian , Denis Zorin , Michael Shelley, Journal of Computational Physics , 2017 We present a novel platform for the large-scale simulation of fibrous structures immersed in a Stokesian fluid and evolving under confinement or in free-space. One of the main motivations for this work is to study the dynamics of fiber assemblies within biological cells. For this, we also incorporate the key biophysical elements that determine the dynamics of these assemblies, which include the polymerization and depolymerization kinetics of fibers, their interactions with molecular motors and other objects, their flexibility, and hydrodynamic coupling. This work, to our knowledge, is the first technique to include many-body hydrodynamic interactions (HIs), and the resulting fluid flows, in cellular fiber assemblies. We use the non-local slender body theory to compute the fluid-structure interactions of the fibers and a second-kind boundary integral formulation for other rigid bodies and the confining boundary. A kernel-independent implementation of the fast multiple method is utilized for efficient evaluation of HIs. The deformation of the fibers is described by the nonlinear Euler-Bernoulli beam theory and their polymerization is modeled by the reparametrization of the dynamic equations in the appropriate non-Lagrangian frame. We use a pseudo-spectral representation of fiber positions and implicit HIs in the time-stepping to resolve large fiber deformations, and to allow time-steps not constrained by temporal stiffness or fiber-fiber interactions. The entire computational scheme is parallelized, which enables simulating assemblies of thousands of fibers. We use our method to investigate two important questions in the mechanics of cell division: (i) the effect of confinement on the hydrodynamic mobility of microtubule asters; and (ii) the dynamics of the positioning of mitotic spindle in complex cell geometries. Finally to demonstrate the general applicability of the method, we simulate the sedimentation of a cloud of fibers. [ Paper ] Bijective maps from simplicial foliations Marcel Campen , Claudio T. Silva , Denis Zorin , ACM Transactions on Graphics (TOG) , 2016 This paper presents a method for bijective parametrization of 2D and 3D objects over canonical domains. While a range of solutions for the two-dimensional case are well-known, our method guarantees bijectivity of mappings also for a large, combinatorially-defined class of tetrahedral meshes (shellable meshes). The key concept in our method is the piecewise-linear (PL) foliation, decomposing the mesh into one-dimensional submanifolds and reducing the mapping problem to parametrization of a lower-dimensional manifold (a foliation section). The maps resulting from these foliations are proved to be bijective and continuous, and shown to have provably bijective PL approximations. We describe exact, numerically robust evaluation methods and demonstrate our implementation's capabilities on a large variety of meshes. [ Paper ] Mesh Arrangements for Solid Geometry Qingnan Zhou , Eitan Grinspun , Denis Zorin , Alec Jacobson , ACM Transactions on Graphics (TOG) , 2016 Many high-level geometry processing tasks rely on low-level constructive solid geometry operations. Though trivial for implicit representations, boolean operations are notoriously difficult to execute robustly for explicit boundary representations. Existing methods for 3D triangle meshes fall short in one way or another. Some methods are fast but fail to produce closed, self-intersection free output. Other methods are robust but place prohibitively strict assumptions on the input, e.g., no hollow cavities, non-manifold edges or selfintersections. We propose a systematic recipe for conducting a family of exact constructive solid geometry operations. The two-stage method makes no general position assumptions and does not resort to numerical perturbation. The method is variadic, operating on any number of input meshes. This generalizes unary mesh-repair operations, classic binary boolean differencing, and n-ary operations such as finding all regions inside at least k out of n inputs. We demonstrate the superior effectiveness and robustness of our method on a dataset of 10,000 "real-world" meshes from a popular online repository. To encourage development, validation, and comparison, we release both our code and dataset to the public. [ Paper ] [ Code ] A Tensor-Train accelerated solver for integral equations in complex geometries Eduardo Corona, Abtin Rahimian , Denis Zorin , Journal of Computational Physics , 2017 We present a framework using the Tensor Train decomposition (TT) to accurately and efficiently solve volume and boundary integral equations in three dimensions. We describe how the TT decomposition can be used as a hierarchical compression and inversion scheme for matrices arising from the discretization of integral equations. For a broad range of problems, computational and storage costs of the inversion scheme are extremely modest O(logN) and once the inverse is computed, it can be applied in O(N logN). We analyze the TT ranks for hierarchically low rank matrices and discuss its relationship to commonly used hierarchical compression techniques such as FMM, HSS, and wavelets. We prove that the TT ranks are bounded for translation-invariant systems and argue that this behavior extends to non-translation invariant volume and boundary integrals. For volume integrals, the TT decomposition provides an efficient direct solver requiring significantly less memory compared to other fast direct solvers. We present results demonstrating the remarkable performance of the TT-based solver when applied to both translation and non-translation invariant volume integrals in 3D. For boundary integral equations, we demonstrate that using a TT decomposition to construct preconditioners for a Krylov subspace method leads to an efficient and robust solver with a small memory footprint. We test the TT preconditioners in the iterative solution of an exterior elliptic boundary value problem (Laplace) formulated as a boundary integral equation in complex, multiply connected geometries. [ Paper ] Boundary Integral Method for the Flow of Vesicles with Viscosity Contrast in Three Dimensions Abtin Rahimian , Shravan Veerapaneni, Denis Zorin , George Biros , Journal of Computational Physics , 2015 We propose numerical algorithms for the simulation of the dynamics of three- dimensional vesicles suspended in viscous Stokesian fluid. Our method is an extension of our previous work to flows with viscosity contrast.This generalization requires a change in the boundary integral formulation of the solution, in which a double-layer Stokes integral is introduced, and leads to changes in the fluid dynamics due to the viscosity contrast of the vesicles, which can no longer be efficiently resolved with existing algorithms. In this paper we describe the algorithms needed to handle flows with viscosity contrast accurately and efficiently. We show that a globally semi-implicit method does not have any time-step stability constraint for flows with single and multiple vesicles with moderate viscosity contrast and the computational cost per simulation unit time is comparable to or less than that of an explicit scheme. Automatic oversampling adaptation enables us to achieve high accuracy with very low spectral resolution. We conduct numerical experiments to investigate the stability, accuracy, and the computational cost of the algorithms. Overall, our method achieves several orders of magnitude speed-up compared to the standard explicit schemes. [ Paper ] Elastic Textures Julian Panetta , Qingnan Zhou , Luigi Malmo , Nico Pietroni , Paolo Cignoni , Denis Zorin , ACM Transactions on Graphics (TOG) , 2015 We introduce elastic textures: a set of parametric, tileable, printable, cubic patterns achieving a broad range of isotropic elastic material properties: the softest pattern is over a thousand times softer than the stiffest, and the Poisson's ratios range from below zero to nearly 0.5. Using a combinatorial search over topologies followed by shape optimization, we explore a wide space of truss-like, symmetric 3D patterns to obtain a small family. This pattern family can be printed without internal support structure on a single-material 3D printer and can be used to fabricate objects with prescribed mechanical behavior. The family can be extended easily to create anisotropic patterns with target orthotropic properties. We demonstrate that our elastic textures are able to achieve a user-supplied varying material property distribution. We also present a material optimization algorithm to choose material properties at each point within an object to best fit a target deformation under a prescribed scenario. We show that, by fabricating these spatially varying materials with elastic textures, the desired behavior is achieved. [ Paper ] [ Video ] Dyadic T-mesh subdivision Denis Kovacs, Denis Zorin , ACM Transactions on Graphics (TOG) , 2015 Meshes with T-joints (T-meshes) and related high-order surfaces have many advantages in situations where flexible local refinement is needed. At the same time, designing subdivision rules and bases for T-meshes is much more difficult, and fewer options are available. For common geometric modeling tasks it is desirable to retain the simplicity and flexibility of commonly used subdivision surfaces, and extend them to handle T-meshes. We propose a subdivision scheme extending Catmull-Clark and NURSS to a special class of quad T-meshes, dyadic T-meshes, which have no more than one T-joint per edge. Our scheme is based on a factorization with the same structure as Catmull-Clark subdivision. On regular T-meshes it is a refinement scheme for a subset of standard T-splines. While we use more variations of subdivision masks compared to Catmull-Clark and NURSS, the minimal size of the stencil is maintained, and all variations in formulas are due to simple changes in coefficients. [ Paper ] An O (N) direct solver for integral equations on the plane Eduardo Corona, Per-Gunnar Martinsson, Denis Zorin , Applied and Computational Harmonic Analysis , 2015 An efficient direct solver for volume integral equations with O(N) complexity for a broad range of problems is presented. The solver relies on hierarchical compression of the discretized integral operator, and exploits that off-diagonal blocks of certain dense matrices have numerically low rank. Technically, the solver is inspired by previously developed direct solvers for integral equations based on "recursive skeletonization" and "Hierarchically Semi-Separable" (HSS) matrices, but it improves on the asymptotic complexity of existing solvers by incorporating an additional level of compression. The resulting solver has optimal O(N) complexity for all stages of the computation, as demonstrated by both theoretical analysis and numerical examples. The computational examples further display good practical performance in terms of both speed and memory usage. In particular, it is demonstrated that even problems involving 10^{7} unknowns can be solved to precision 10^{-10} using a simple Matlab implementation of the algorithm executed on a single core. [ Paper ] Strict minimizers for geometric optimization Zohar Levi , Denis Zorin , ACM Transactions on Graphics (TOG) , 2014 We introduce the idea of {strict minimizers for geometric distortion measures used in shape interpolation, deformation, parametrization, and other applications involving geometric mappings. The L-infinity norm ensures the tightest possible control on the worst-case distortion. Unfortunately, it does not yield a unique solution and does not distinguish between solutions with high or low distortion below the maximum. The strict minimizer is a minimal L-infinity norm solution, which always prioritizes higher distortion reduction. We propose practical algorithms for computing strict minimizers. We also offer an efficient algorithm for L-infinity optimization based on the ARAP energy. This algorithm can be used on its own or as a building block for an ARAP strict minimizer. We demonstrate that these algorithms lead to significant improvements in quality. [ Paper ] Smoothness of Subdivision Surfaces with Boundary Henning Biermann, Sara Grundel, Denis Zorin , Constructive Approximation , 2014 Subdivision rules for meshes with boundary are essential for practical applications of subdivision surfaces. These rules have to result in piecewise C^k-continuous boundary limit curves, and ensure C^k-continuity of the surface itself. We present in this paper general necessary and sufficient conditions for C^k-continuity of subdivision schemes for surfaces with boundary, and specialize these to practially applicable sufficient conditions for C^1-continuity. We use these conditions to show that certain boundary rules for Loop and Catmull-Clark are in fact C^1 continuous. [ Paper ] Locally Injective Parametrization with Arbitrary Fixed Boundaries Ofir Weber , Denis Zorin , ACM Transactions on Graphics (TOG) , 2014 We present an algorithm for mapping a triangle mesh, which is homeomorphic to a disk, to a planar domain with arbitrary fixed boundaries. The algorithm is guaranteed to produce a globally bijective map when the boundary is fixed to a shape that does not self-intersect. Obtaining a one-to-one map is of paramount importance for many graphics applications such as texture mapping. However, for other applications, such as quadrangulation, remeshing, and planar deformations, global bijectively may be unnecessarily constraining and requires significant increase on map distortion. For that reason, our algorithm allows the fixed boundary to intersect itself, an d is guaranteed to produce a map that is injective locally (if such a map exists [ Paper ] Robust Field-aligned Global Parametrization Ashish Myles , Nico Pietroni , Denis Zorin , ACM Transactions on Graphics (TOG) , 2014 We present a robust method for computing locally bijective global parametrizations aligned with a given cross-field. The singularities of the parametrization in general agree with singularities of the field, except in a small number of cases when several additional cones need to be added in a controlled way. Parametric lines can be constrained to follow an arbitrary set of feature lines on the surface. Our method is based on constructing an initial quad patch partition using robust cross-field integral line tracing. This process is followed by an algorithm modifying the quad layout structure to ensure that consistent parametric lengths can be assigned to the edges. For most meshes, the layout modification algorithm does not add new singularities; a small number of singularities may be added to resolve an explicitly described set of layouts. We demonstrate that our algorithm succeeds on a test data set of over a hundred meshes. [ Paper ] [ Additional ] [ Data ] Quad-Mesh Generation and Processing: A Survey David Bommes , Bruno Levy, Nico Pietroni , Enrico Puppo , Claudio T. Silva , Marco Tarini , Denis Zorin , Computer Graphics Forum , 2013 Triangle meshes have been nearly ubiquitous in computer graphics, and a large body of data structures and geometry processing algorithms based on them has been developed in the literature. At the same time, quadrilateral meshes, especially semi-regular ones, have advantages for many applications, and significant progress was made in quadrilateral mesh generation and processing during the last several years. In this survey we discuss the advantages and problems of techniques operating on quadrilateral meshes, including surface analysis and mesh quality, simplification, adaptive refinement, alignment with features, parametrisation and remeshing [ Paper ] Subspace integration with local deformations David Harmon , Denis Zorin , ACM Transactions on Graphics (TOG) , 2013 Subspace techniques greatly reduce the cost of nonlinear simulation by approximating deformations with a small custom basis. In order to represent the deformations well (in terms of a global metric), the basis functions usually have global support, and cannot capture localized deformations. While reduced-space basis functions can be localized to some extent, capturing truly local deformations would still require a very large number of precomputed basis functions, significantly degrading both precomputation and online performance. We present an efficient approach to handling local deformations that cannot be predicted, most commonly arising from contact and collisions, by augmenting the subspace basis with custom functions derived from analytic solutions to static loading problems. We also present a new cubature scheme designed to facilitate fast computation of the necessary runtime quantities while undergoing a changing basis. Our examples yield a two order of magnitude speedup over full-coordinate simulations, striking a desirable balance between runtime speeds and expressive ability. [ Paper ] [ Video ] Controlled-distortion constrained global parametrization Ashish Myles , Denis Zorin , ACM Transactions on Graphics (TOG) , 2013 The quality of a global parametrization is determined by a number of factors, including amount of distortion, number of singularities (cones), and alignment with features and boundaries. Placement of cones plays a decisive role in determining the overall distortion of the parametrization; at the same time, feature and boundary alignment also affect the cone placement. A number of methods were proposed for automatic choice of cone positions, either based on singularities of cross-fields and emphasizing alignment, or based on distortion optimization. In this paper we describe a method for placing cones for seamless global parametrizations with alignment constraints. We use a close relation between variation-minimizing cross-fields and related 1-forms and conformal maps, and demonstrate how it leads to a constrained optimization problem formulation. We show for boundary-aligned parametrizations metric distortion may be reduced by cone chains, sometimes to an arbitrarily small value, and the trade-off between the distortion and the number of cones can be controlled by a regularization term. Constrained parametrizations computed using our method have significantly lower distortion compared to the state-of-the art field-based method, yet maintain feature and boundary alignment. In the most extreme cases, parametrization collapse due to alignment constraints is eliminated. [ Paper ] Worst-case structural analysis Qingnan Zhou , Julian Panetta , Denis Zorin , ACM Transactions on Graphics (TOG) , 2013 Direct digital manufacturing is a set of rapidly evolving technologies that provide easy ways to manufacture highly customized and unique products. The development pipeline for such products is radically different from the conventional manufacturing pipeline: 3D geometric models are designed by users often with little or no manufacturing experience, and sent directly to the printer. Structural analysis on the user side with conventional tools is often unfeasible as it requires specialized training and software. Trial-and-error, the most common approach, is time-consuming and expensive. We present a method that would identify structural problems in objects designed for 3D printing based on geometry and material properties only, without specific assumptions on loads and manual load setup. We solve a constrained optimization problem to determine the "worst" load distribution for a shape that will cause high local stress or large deformations. While in its general form this optimization has a prohibitively high computational cost, we demonstrate that an approximate method makes it possible to solve the problem rapidly for a broad range of printed models. We validate our method both computationally and experimentally and demonstrate that it has good predictive power for a number of diverse 3D printed shapes. [ Paper ] A massively parallel adaptive fast multipole method on heterogeneous architectures Ilya Lashuk, Aparna Chandramowlishwaran, Harper Langston, Tuan-Anh Nguyen, Rahul Sampath, Aashay Shringarpure, Richard Vuduc, Lexing Ying, Denis Zorin , George Biros , Communications of the ACM , 2012 We describe a parallel fast multipole method (FMM) for highly nonuniform distributions of particles. We employ both distributed memory parallelism (via MPI) and shared memory parallelism (via OpenMP and GPU acceleration) to rapidly evaluate two-body nonoscillatory potentials in three dimensions on heterogeneous high performance computing architectures. We have performed scalability tests with up to 30 billion particles on 196,608 cores on the AMD/CRAY-based Jaguar system at ORNL. On a GPU-enabled system (NSF's Keeneland at Georgia Tech/ORNL), we observed 30x speedup over a single core CPU and 7x speedup over a multicore CPU implementation. By combining GPUs with MPI, we achieve less than 10 ns/particle and six digits of accuracy for a run with 48 million nonuniformly distributed particles on 192 GPUs. [ Paper ] Fields on symmetric surfaces Daniele Panozzo , Yaron Lipman , Enrico Puppo , Denis Zorin , ACM Transactions on Graphics (TOG) , 2012 Direction fields, line fields and cross fields are used in a variety of computer graphics applications ranging from non-photorealistic rendering to remeshing. In many cases, it is desirable that fields adhere to symmetry, which is predominant in natural as well as man-made shapes. We present an algorithm for designing smooth N-symmetry fields on surfaces respecting generalized symmetries of the shape, while maintaining alignment with local features. Our formulation for constructing symmetry fields is based on global symmetries, which are given as input to the algorithm, with no isometry assumptions. We explore in detail the properties of generalized symmetries (reflections in particular), and we also develop an algorithm for the robust computation of such symmetry maps, based on a small number of correspondences, for surfaces of genus zero. [ Paper ] [ Addendum ] Global parametrization by incremental flattening Ashish Myles , Denis Zorin , ACM Transactions on Graphics (TOG) , 2012 Global parametrization of surfaces requires singularities (cones) to keep distortion minimal. We describe a method for finding cone locations and angles and an algorithm for global parametrization which aim to produce seamless parametrizations with low metric distortion. The idea of the method is to evolve the metric of the surface, starting with the original metric so that a growing fraction of the area of the surface is constrained to have zero Gaussian curvature; the curvature becomes gradually concentrated at a small set of vertices which become cones. We demonstrate that the resulting parametrizations have significantly lower metric distortion compared to previously proposed methods. [ Paper ] Computing extremal quasiconformal maps Ofir Weber , Ashish Myles , Denis Zorin , Computer Graphics Forum (Best Paper Award), 2012 Conformal maps are widely used in geometry processing applications. They are smooth, preserve angles, and are locally injective by construction. However, conformal maps do not allow for boundary positions to be prescribed. A natural extension to the space of conformal maps is the richer space of quasiconformal maps of bounded conformal distortion. Extremal quasiconformal maps, that is, maps minimizing the maximal conformal distortion, have a number of appealing properties making them a suitable candidate for geometry processing tasks. Similarly to conformal maps, they are guaranteed to be locally bijective; unlike conformal maps however, extremal quasiconformal maps have sufficient flexibility to allow for solution of boundary value problems. Moreover, in practically relevant cases, these solutions are guaranteed to exist, are unique and have an explicit characterization. We present an algorithm for computing piecewise linear approximations of extremal quasiconformal maps for genus-zero surfaces with boundaries, based on Teichm_______________________________ller's characterization of the dilatation of extremal maps using holomorphic quadratic differentials. We demonstrate that the algorithm closely approximates the maps when an explicit solution is available and exhibits good convergence properties for a variety of boundary conditions. [ Paper ] Fields on Symmetric Surfaces Daniele Panozzo , Yaron Lipman , Enrico Puppo , Denis Zorin , ACM Transactions on Graphics (SIGGRAPH) , 2012 [ Paper ] [ Additional ] Global parametrization of range image sets Nico Pietroni , Marco Tarini , Olga Sorkine-Hornung , Denis Zorin , ACM Transactions on Graphics , 2011 We present a method to globally parameterize a surface represented by height maps over a set of planes (range images). In contrast to other parametrization techniques, we do not start with a manifold mesh. The parametrization we compute defines a manifold structure, it is seamless and globally smooth, can be aligned to geometric features and shows good quality in terms of angle and area preservation, comparable to current parametrization techniques for meshes. Computing such global seamless parametrization makes it possible to perform quad remeshing, texture mapping and texture synthesis and many other types of geometry processing operations. Our approach is based on a formulation of the Poisson equation on a manifold structure defined for the surface by the range images. Construction of such global parametrization requires only a way to project surface data onto a set of planes, and can be applied directly to implicit surfaces, nonmanifold surfaces, very large meshes, and collections of range scans. We demonstrate application of our technique to all these geometry types. [ Paper ] Asynchronous integration with phantom meshes David Harmon , Qingnan Zhou , Denis Zorin , ACM SIGGRAPH/Eurographics Symposium on Computer Animation , 2011 Asynchronous variational integration of layered contact models provides a framework for robust collision handling, correct physical behavior, and guaranteed eventual resolution of even the most dif?cult contact problems. Yet, even for low-contact scenarios, this approach is signi?cantly slower compared to its less robust alternatives _______________________________ often due to handling of stiff elastic forces in an explicit framework. We propose a method that retains the guarantees, but allows for variational implicit integration of some of the forces, while maintaining asynchronous integration needed for contact handling. Our method uses phantom meshes for calculations with stiff forces, which are then coupled to the original mesh through constraints. We use the augmented discrete Lagrangian of the constrained system to derive a variational integrator with the desired conservation properties. [ Paper ] Manifold-based surfaces with boundary Elif Tosun, Denis Zorin , Computer-Aided Geometric Design , 2011 We present a manifold-based surface construction extending the C1 construction of Ying and Zorin (2004a). Our surfaces allow for pircewise-smooth boundaries, have user-controlled arbitrary degree of smoothness and improved derivative and visual behavior. 2-flexibility of our surface construction is confirmed numerically for a range of local mesh configurations. [ Paper ] A fast algorithm for simulating vesicle flows in three dimensions Shravan Veerapaneni, Abtin Rahimian , George Biros , Denis Zorin , Journal of Computational Physics , 2011 Vesicles are locally-inextensible fluid membranes that can sustain bending. In this paper, we present a fast algorithm for simulating the dynamics of vesicles suspended in viscous fluids. Spatial quantities are discretized using spherical harmonics, and quadrature rules for singular surface integrals need to be adapted to this case; an algorithm for surface reparameterization is neeed to ensure suffcient of the time- stepping scheme, and spectral filtering is introduced to maintain reasonable accuracy while minimizing computational costs. We obtain a time-stepping scheme that, in our numerical experiments, is unconditionally stable. We present results to analyze the cost and convergence rates of the overall scheme. To illustrate the applicability of the new method, we consider a few vesicle-flow interaction problems: a single vesicle in relaxation, sedimentation, shear flows, and many-vesicle flows. [ Paper ] [ Video 1 ] [ Video 2 ] A Free-space adaptive FMM-Based PDE solver in three dimensions M. Harper Langston, Leslie Greengard, Denis Zorin , Communications in Applied Mathematics and Computational Science , 2011 We present a kernel-independent, adaptive fast multipole method (FMM) of arbitrary order accuracy for solving elliptic PDEs in three dimensions with radiation boundary conditions. The algorithm requires only a Green's function evaluation routine for the governing equation and a representation of the source distribution (the right-hand side) that can be evaluated at arbitrary points. The performance of the FMM is accelerated in two ways. First, we construct a piecewise polynomial approximation of the right-hand side and compute far-field expansions in the FMM from the coefficients of this approximation. Second, we precompute tables of quadratures to handle the near-field interactions on adaptive octree data structures, keeping the total storage requirements in check through the exploitation of symmetries. We present numerical examples for the Laplace, modified Helmholtz and Stokes equations. [ Paper ] Interference Aware Geometric Modeling David Harmon , Daniele Panozzo , Olga Sorkine-Hornung , Denis Zorin , ACM Transactions on Graphics (SIGGRAPH Asia) , 2011 While often a requirement for geometric models, there has been little research in resolving the interaction of deforming surfaces during real-time modeling sessions. To address this important topic, we introduce an interference algorithm specifically designed for the domain of geometric modeling. This algorithm is general, easily working within existing modeling paradigms to maintain their important properties. Our algorithm is fast, and is able to maintain interactive rates on complex deforming meshes of over 75K faces, while robustly removing intersections. Lastly, our method is controllable, allowing fine-tuning to meet the specific needs of the user. This includes support for minimum separation between surfaces and control over the relative rigidity of interacting objects. [ Paper ] [ Video ] [ Code ] Petascale Direct Numerical Simulation of Blood Flow on 200K Cores and Heterogeneous Architectures. Abtin Rahimian , Ilya Lashuk, Shravan Veerapaneni, Aparna Chandramowlishwaran, Dhairya Malhotra, Logan Moon, Rahul Sampath, Aashay Shringarpure, Jeffrey Vetter, Richard Vuduc, Denis Zorin , George Biros , ACM/IEEE conference on Supercomputing (Gordon Bell Prize), 2010 We present a fast, petaflop-scalable algorithm for Stokesian particulate flows. Our goal is the direct simulation of blood, which we model as a mixture of a Stokesian fluid (plasma) and red blood cells (RBCs). Directly simulating blood is a challenging multiscale, multiphysics problem. We report simulations with up to 200 million deformable RBCs. The largest simulation amounts to 90 billion unknowns in space. In terms of the number of cells, we improve the state-of-the art by several orders of magnitude: the previous largest simulation, at the same physical fidelity as ours, resolved the flow of O(1,000-10,000) RBCs. Our approach has three distinct characteristics: (1) we faithfully represent the physics of RBCs by using nonlinear solid mechanics to capture the deformations of each cell; (2) we accurately resolve the long-range, N-body, hydrodynamic interactions between RBCs (which are caused by the surrounding plasma); and (3) we allow for the highly non-uniform distribution of RBCs in space. The new method has been implemented in the software library MOBO (for "Moving Boundaries"). We designed MOBO to support parallelism at all levels, including inter-node distributed memory parallelism, intra-node shared memory parallelism, data parallelism (vectorization), and fine-grained multithreading for GPUs. We have implemented and optimized the majority of the computation kernels on both Intel/AMD x86 and NVidia's Tesla/Fermi platforms for single and double floating point precision. Overall, the code has scaled on 256 CPU-GPUs on the Teragrid's Lincoln cluster and on 200,000 AMD cores of the Oak Ridge national Laboratory's Jaguar PF system. In our largest simulation, we have achieved 0.7 Petaflops/s of sustained performance on Jaguar. [ Paper ] Feature-aligned T-meshes Ashish Myles , Nico Pietroni , Denis Kovacs, Denis Zorin , ACM Transactions on Graphics , 2010 High-order and regularly sampled surface representations are more efficient and compact than general meshes and considerably simplify many geometric modeling and processing algorithms. A number of recent algorithms for conversion of arbitrary meshes to regularly sampled form (typically quadrangulation) aim to align the resulting mesh with feature lines of the geometry. While resulting in a substantial improvement in mesh quality, feature alignment makes it difficult to obtain coarse regular patch partitions of the mesh. In this paper, we propose an approach to constructing patch layouts consisting of small numbers of quadrilateral patches while maintaining good feature alignment. To achieve this, we use quadrilateral T-meshes, for which the intersection of two faces may not be the whole edge or vertex, but a part of an edge. T-meshes offer more flexibility for reduction of the number of patches and vertices in a base domain while maintaining alignment with geometric features. At the same time, T-meshes retain many desirable features of quadrangulations, allowing construction of high-order representations, easy packing of regularly sampled geometric data into textures, as well as supporting different types of discretizations for physical simulation. [ Paper ] Mixed Finite Elements for Variational Surface Modeling Alec Jacobson , Elif Tosun, Olga Sorkine-Hornung , Denis Zorin , Computer Graphics Forum , 2010 Many problems in geometric modeling can be described using variational formulations that define the smoothness of the shape and its behavior w.r.t. the posed modeling constraints. For example, high-quality C2 surfaces that obey boundary conditions on positions, tangents and curvatures can be conveniently defined as solutions of high-order geometric PDEs; the advantage of such a formulation is its conceptual representation-independence. In practice, solving high-order problems efficiently and accurately for surfaces approximated by meshes is notoriously difficult. For modeling applications, the preferred approach is to use discrete geometric schemes which are efficient and robust, but their convergence properties are less well understood compared to higher-order FEM. In this paper, we explore discretizations of common geometric PDEs on meshes using mixed finite elements, where additional variables for the derivatives in the problem are introduced. Such formulations use first-order derivatives only, allowing a discretization with simple linear elements. Various boundary conditions can be naturally discretized in this setting. We formalize continuous region constraints commonly used in modeling applications, and show that these seamlessly fit into the mixed framework. We demonstrate that some of the commonly used discrete geometric discretizations can be regarded as a particular case of mixed finite elements. We study the convergence behavior of our discretizations, and how they can be applied to implement common modeling tasks. [ Paper ] Anisotropic quadrangulation Denis Kovacs, Ashish Myles , Denis Zorin , Symposium on Solid and Physical Modeling , 2010 Quadrangulation algorithms approximate arbitrary meshes with meshes consisting of quads or mostly quads, and with only a small number of extraordinary vertices. To minimize the number of quads needed while maintaing a good approximation of shapes, one wants to use anisotropically scaled quads in areas with a high ratio of principal curvatures. Most existing techniques rely on global parametrization methods either producing uniform aspect-ratio quads, or anisotropic quads with sizes unrelated to the curvature magnitudes. We propose a simple technique that can be combined with a variety of parametrization and quadrangulation methods to produce anisotropic semiregular remeshing. Our approach is based on using a metric derived from the shape operator to adjust lengths and angles in surface parametrization equations in a way that equalizes normal error distribution over the surface. [ Paper ] Real-time creased subdivision surfaces Denis Kovacs, Jason Mitchell, Denis Zorin , IEEE Transactions on Visualization and Computer Graphics ((also in Proceedings of I3D, 2009)), 2010 We present an extension of recently developed Loop and Schaefer's approximation of Catmull-Clark surfaces (ACC) for surfaces with creases and corners which are essential for most applications. We discuss the integration of ACC into Valve's Source game engine and analyze performance of our implementation [ Paper ] A massively parallel adaptive fast-multipole method on heterogeneous architectures Ilya Lashuk, Aparna Chandramowlishwaran, Harper Langston, Tuan-Anh Nguyen, Rahul Sampath, Aashay Shringarpure, Richard Vuduc, Lexing Ying, Denis Zorin , George Biros , ACM/IEEE conference on Supercomputing (Best Paper Award Nomination), 2009 We present new scalable algorithms and a new implementation of our kernel-independent fast multipole method (Ying et al. ACM/IEEE SC '03), in which we employ both distributed memory parallelism (via MPI) and shared memory/streaming parallelism (via GPU acceleration) to rapidly evaluate two-body non-oscillatory potentials. On traditional CPU-only systems, our implementation scales well up to 30 billion unknowns on 65K cores (AMD/CRAY-based Kraken system at NSF/NICS) for highly non-uniform point distributions. On GPU-enabled systems, we achieve 30x speedup for problems of up to 256 million points on 256 GPUs (Lincoln at NSF/NCSA) over a comparable CPU-only based implementations. We achieve scalability to such extreme core counts by adopting a new approach to scalable MPI-based tree construction and partitioning, and a new reduction algorithm for the evaluation phase. For the sub-components of the evaluation phase (the direct- and approximate-interactions, the target evaluation, and the source-to-multipole translations), we use NVIDIA's CUDA framework for GPU acceleration to achieve excellent performance. To do so requires carefully constructed data structure transformations, which we describe in the paper and whose cost we show is minor. Taken together, these components show promise for ultrascalable FMM in the petascale era and beyond. [ Paper ] High-order methods for simulating the dynamics of axis-symmetric inextensible vesicles in viscous flow Shravan Veerapaneni, Denis Gueyffier, George Biros , Denis Zorin , Journal of Computational Physics , 2009 We extend the efficient high-order method of [Veerapaneni et al., 2008] to the axisymmetric flows with immersed vesicles of spherical or toroidal topology. In this case, the bending and fluid forces require a siginficantly different (for bending forces, nonlinear, vs. linear in 2D) case computation. The qualitative numerical behavior of the problem is also different: with a nonlinear semi-implicit scheme needed to eliminate the CFL-type restriction in the toroidal case. We present an unconditionally stable scheme with low cost per time step, and spectrally accurate in space and third-order accurate in time. An important part of the algorithm is a novel numerical scheme for evaluation of the 3D Stokes single-layer potential on an axisymmetric surface, needed to achieve optimal complexity. As an application, we explore the motion of axisymmetric vesicles under gravity [ Paper ] Application-aware management of parallel simulation Siu-Man Yau, Vijay Karamcheti, Denis Zorin , Kostadin Damevski, Steven G. Parker, SIGPLAN Symposium on Principles and Practice of Parallel Programming , 2009 This paper presents a system deployed on parallel clusters to manage a collection of parallel simulations that make up a computational study. It explores how such a system can extend traditional parallel job scheduling and resource allocation techniques to incorporate knowledge specific to the study. Using a UINTAH-based helium gas simulation code (ARCHES) and the SimX system for multi-experiment computational studies, this paper demonstrates that, by using application-specific knowledge in resource allocation and scheduling decisions, one can reduce the run time of a computational study from over 20 hours to under 4.5 hours on a 32-processor cluster, and from almost 11 hours to just over 3.5 hours on a 64-processor cluster. [ Paper ] Structured annotations for 2D-to-3D modeling Yotam Gingold , Takeo Igarashi , Denis Zorin , ACM Transactions on Computer Graphics , 2009 We present a single-view 2D interface for 3D modeling based on the idea of placing 2D primitives and annotations on an existing, pre-made sketch or image. Our interface frees users to create 2D sketches from arbitrary angles using their preferred tool -- including pencil and paper -- which they then "describe" using our tool to create a 3D model. Our interface can be used to generate a 3D model from an illustration, such as those found in children's picture books. Our primitives are manipulated with persistent, dynamic handles, and our annotations take the form of markings commonly used in geometry textbooks. Our interface eliminates the constant rotation inherent to previous sketch-based-modeling tools such as [Igarashi et al. 1999]. Our method is significantly different from computer vision approaches because many 2D drawings have no consistent 3D representation. Instead, we view 2D drawings as semantic, qualitative descriptions of 3D geometry, rather than as literal, quantitative descriptions. Our system solves this ill-posed problem with the help of human intervention. Our 3D models are generated entirely from the user's input; our algorithm does not consider the original 2D image. In this work, our focus is on rotund, free-form shapes and not man-made rectilinear/CAD models. [ Paper ] A boundary integral method for simulating the dynamics of inextensible vesicles suspended in a viscous fluid in 2D Shravan Veerapaneni, Denis Gueyffier, George Biros , Denis Zorin , Journal of Computational Physics , 2008 We present a new method for the evolution of inextensible vesicles immersed in a Stokesian fluid. We use a boundary integral formulation for the fluid that results in a set of nonlinear integro-differential equations for the vesicle dynamics. The motion of the vesicles is determined by balancing the nonlocal hydrodynamic forces with the elastic forces due to bending and tension. Numerical simulations of such vesicle motions are quite challenging. On one hand, explicit time-stepping schemes suffer from a severe stability constraint due to the stiffness related to high-order spatial derivatives and a milder constraint due to a transport-like stability condition. On the other hand, an implicit scheme can be expensive because it requires the solution of a set of nonlinear equations at each time step. We present two semi-implicit schemes that circumvent the severe stability constraints on the time step and whose computational cost per time step is comparable to that of an explicit scheme. We discretize the equations by using a spectral method in space, and a multistep third-order accurate scheme in time. We use the fast multipole method (FMM) to efficiently compute vesicle-vesicle interaction forces in a suspension with a large number of vesicles. We report results from numerical experiments that demonstrate the convergence and algorithmic complexity properties of our scheme. [ Paper ] [ Video 1 ] [ Video 2 ] [ Video 3 ] Shading-based surface editing Yotam Gingold , Denis Zorin , ACM Transactions on Computer Graphics , 2008 We present a system for free-form surface modeling that allows a user to modify a shape by changing its rendered, shaded image using stroke-based drawing tools. User input is translated into a set of tangent and positional constraints on the surface. A new shape, whose rendered image closely approximates user input, is computed using an efficient and stable surface optimization procedure. We demonstrate how several types of free-form surface edits which may be difficult to cast in terms of standard deformation approaches can be easily performed using our system. [ Paper ] [ Video ] Real-time rendering of textures with feature curves Evgueni Parilov, Denis Zorin , ACM Transactions on Computer Graphics , 2008 The standard bilinear interpolation on normal maps results in visual artifacts along sharp features, which are common for surfaces with creases, wrinkles, and dents. In many cases, spatially varying features, like the normals near discontinuity curves, are best represented as functions of the distance to the curve and the position along the curve. For high-quality interactive rendering at arbitrary magnifications, one needs to interpolate the distance field preserving discontinuity curves exactly. We present a real-time, GPU-based method for distance function and distance gradient interpolation which preserves discontinuity feature curves. The feature curves are represented by a set of quadratic Bezier curves, with minimal restrictions on their intersections. We demonstrate how this technique can be used for real-time rendering of complex feature patterns and blending normal maps with procedurally defined profiles near normal discontinuities. [ Paper ] [ Video 1 ] [ Video 2 ] [ Video 3 ] [ Video 4 ] [ Video 5 ] [ Video 6 ] Result reuse in design space exploration: a study in system support for interactive parallel computing Siu-Man Yau, Kostadin Damevski, Vijay Karamcheti, Steven G. Parker, Denis Zorin , IEEE International Parallel and Distributed Processing Symposium , 2008 This paper presents a system supporting reuse of simulation results in multi-experiment computational studies involving independent simulations and explores the benefits of such reuse. Using a SCIRun-based defibrillator device simulation code (DefibSim) and the SimX system for computational studies, this paper demonstrates how aggressive reuse between and within computational studies can enable interactive rates for such studies on a moderate-sized 128-node processor cluster; a brute-force approach to the problem would require two thousand nodes or more on a massively parallel machine for similar performance. Key to realizing these performance improvements is exploiting optimization opportunities that present themselves at the level of the overall workflow of the study as opposed to focusing on individual simulations. Such global optimization approaches are likely to become increasingly important with the shift towards interactive and universal parallel computing. [ Paper ] Cubic shells Akash Garg, Eitan Grinspun , Max Wardetzky , Denis Zorin , SIGGRAPH/Eurographics Symposium on Computer Animation , 2007 Hinge-based bending models are widely used in the physically-based animation of cloth, thin plates and shells. We propose a hinge-based model that is simpler to implement, more efficient to compute, and offers a greater number of effective material parameters than existing models. Our formulation builds on two mathematical observations: (a) the bending energy of curved flexible surfaces can be expressed as a cubic polynomial if the surface does not stretch; (b) a general class of anisotropic materials---those that are orthotropic -- is captured by appropriate choice of a single stiffness per hinge. Our contribution impacts a general range of surface animation applications, from isotropic cloth and thin plates to orthotropic fracturing thin shells. [ Paper ] Shape optimization using reflection lines Elif Tosun, Yotam Gingold , Jason Reisman, Denis Zorin , Eurographics/SIGGRAPH Symposium on Geometry Processing , 2007 Many common objects have highly reflective metallic or painted finishes. Their appearance is primarily defined by the distortion the curved shape of the surface introduces in the reflections of surrounding objects. Reflection lines are commonly used for surface interrogation, as they capture many essential aspects of reflection distortion directly, and clearly show surface imperfections that may be hard to see with conventional lighting. In this paper, we propose the use of functionals based on reflection lines for mesh optimization and editing. We describe a simple and efficient discretization of such functionals based on screen-space surface parameterization, and we demonstrate how such discrete functionals can be used for several types of surface editing operations. [ Paper ] Controlled-topology filtering Yotam Gingold , Denis Zorin , Computer-Aided Design (Previously appeared in Proceedings of SMI 2006), 2007 Many applications require the extraction of isolines and isosurfaces from scalar functions defined on regular grids. These scalar functions may have many different origins: from MRI and CT scan data to terrain data or results of a simulation. As a result of noise and other artifacts, curves and surfaces obtained by standard extraction algorithms often suffer from topological irregularities and geometric noise. While it is possible to remove topological and geometric noise as a post-processing step, in the case when a large number of isolines are of interest there is a considerable advantage in filtering the scalar function directly. While most smoothing filters result in gradual simplification of the topological structure of contours, new topological features typically emerge and disappear during the smoothing process. In this paper, we describe an algorithm for filtering functions defined on regular 2D grids with controlled topology changes, which ensures that the topological structure of the set of contour lines of the function is progressively simplified. [ Paper ] Discrete quadratic bending energies Max Wardetzky , Miklos Bergou, David Harmon , Denis Zorin , Eitan Grinspun , Computer-Aided Geometric Design (Special Issue on Discrete Differential Geometry, extended version of SGP 2006 paper), 2007 We present a family of discrete isometric bending models (IBMs) for triangulated surfaces in 3-space. These models are derived from an axiomatic treatment of discrete Laplace operators, using these operators to obtain linear models for discrete mean curvature from which bending energies are assembled. Under the assumption of isometric surface deformations we show that these energies are quadratic in surface positions. The corresponding linear energy gradients and constant energy Hessians constitute an efficient model for computing bending forces and their derivatives, enabling fast time-integration of cloth dynamics with a two- to three-fold net speedup over existing nonlinear methods, and near-interactive rates for Willmore smoothing of large meshes. [ Paper ] Sim-X: Parallel system software for interactive multi-experiment computational studies Siu-Man Yau, Eitan Grinspun , Vijay Karamcheti, Denis Zorin , IEEE International Parallel and Distributed Processing Symposium , 2006 Advances in high-performance computing have led to the broad use of computational studies in everyday engineering and scientific applications. A single study may require thousands of computational experiments, each corresponding to individual runs of simulation software with different parameter settings; in complex studies, the pattern of parameter changes is complex and may have to be adjusted by the user based on partial simulation results. Unfortunately, existing tools have limited high-level support for managing large ensembles of simultaneous computational experiments. In this paper, we present a system architecture for interactive computational studies targeting two goals. The first is to provide a framework for high-level user interaction with computational studies, rather than individual experiments; the second is to maximize the size of the studies that can be performed at close to interactive rates. We describe a prototype implementation of the system and demonstrate performance improvements obtained using our approach for a simple model problem. [ Paper ] A High-order 3D boundary integral equation solver for elliptic PDEs in smooth domains Lexing Ying, George Biros , Denis Zorin , Journal of Computational Physics , 2006 We present a high-order boundary integral equation solver for 3D elliptic boundary value problems on domains with smooth boundaries. We use Nystrom's method for discretization, and combine it with special quadrature rules for the singular kernels that appear in the boundary integrals. The overall asymptotic complexity of our method is O(N-3/2), where N is the number of discretization points on the boundary of the domain, and corresponds to linear complexity in the number of uniformly sampled evaluation points. A kernel-independent fast summation algorithm is used to accelerate the evaluation of the discretized integral operators. We describe a high-order accurate method for evaluating the solution at arbitrary points inside the domain, including points close to the domain boundary. We demonstrate how our solver, combined with a regular-grid spectral solver, can be applied to problems with distributed sources. We present numerical results for the Stokes, Navier, and Poisson problems. (c) 2006 Elsevier Inc. All rights reserved. [ Paper ] A quadratic bending model for inextensible surfaces Miklos Bergou, Max Wardetzky , David Harmon , Denis Zorin , Eitan Grinspun , Eurographics/SIGGRAPH Symposium on Geometry Processing , 2006 Efficient computation of curvature-based energies is important for practical implementations of geometric modeling and physical simulation applications. Building on a simple geometric observation, we provide a version of a curvature-based energy expressed in terms of the Laplace operator acting on the embedding of the surface. The corresponding energy--being quadratic in positions--gives rise to a constant Hessian in the context of isometric deformations. The resulting isometric bending model is shown to significantly speed up common cloth solvers, and when applied to geometric modeling situations built onWillmore flow to provide runtimes which are close to interactive rates. [ Paper ] [ Video ] Constructing curvature-continuous surfaces by blending Denis Zorin , Eurographics/SIGGRAPH Symposium on Geometry Processing , 2006 In this paper we describe an approach to the construction of curvature-continuous surfaces with arbitrary control meshes using subdivision. Using a simple modification of the widely used Loop subdivision algorithm we obtain perturbed surfaces which retain the overall shape and appearance of Loop subdivision surfaces but no longer have flat spots or curvature singularities at extraordinary vertices. Our method is computationally efficient and can be easily added to any existing subdivision code. [ Paper ] Computing discrete shape operators on general meshes Eitan Grinspun , Yotam Gingold , Jason Reisman, Denis Zorin , Computer Graphics Forum (Eurographics 2006 Proceedings, 3rd best paper award), 2006 Discrete curvature and shape operators, which capture complete information about directional curvatures at a point, are essential in a variety of applications: simulation of deformable two-dimensional objects, variational modeling and geometric data processing. In many of these applications, objects are represented by meshes. Currently, a spectrum of approaches for formulating curvature operators for meshes exists, ranging from highly accurate but computationally expensive methods used in engineering applications to efficient but less accurate techniques popular in simulation for computer graphics. We propose a simple and efficient formulation for the shape operator for variational problems on general meshes, using degrees of freedom associated with normals. On the one hand, it is similar in its simplicity to some of the discrete curvature operators commonly used in graphics; on the other hand, it passes a number of important convergence tests and produces consistent results for different types of meshes and mesh refinement. [ Paper ] A Direct texture placement and editing interface Yotam Gingold , Philip Davidson, Jefferson Han, Denis Zorin , Proceedings of he 19th ACM Symposium on User Interface Software and Technology (UIST06) , 2006 The creation of most models used in computer animation and computer games requires the assignment of texture coordinates, texture painting, and texture editing. We present a novel approach for texture placement and editing based on direct manipulation of textures on the surface. Compared to conventional tools for surface texturing, our system combines UV-coordinate specification and texture editing into one seamless process, reducing the need for careful initial design of parameterization and providing a natural interface for working with textures directly on 3D surfaces.A combination of efficient techniques for interactive constrained parameterization and advanced input devices makes it possible to realize a set of natural interaction paradigms. The texture is regarded as a piece of stretchable material, which the user can position and deform on the surface, selecting arbitrary sets of constraints and mapping texture points to the surface; in addition, the multi-touch input makes it possible to specify natural handles for texture manipulation using point constraints associated with different fingers. Pressure can be used as a direct interface for texture combination operations. The 3D position of the object and its texture can be manipulated simultaneously using two-hand input. [ Paper ] [ Video ] Subdivision on arbitrary meshes: algorithms and theory Denis Zorin , Institute of Mathematical Sciences (Singapore) Lecture Notes Series , 2006 Subdivision surfaces have become a standard geometric modeling tool for a variety of applications. This survey is an introduction to subdivision algorithms for arbitrary meshes and related mathematical theory; we review the most important subdivision schemes the theory of smoothness of subidivision surfaces, and known facts about approximation properties of subdivision bases. [ Paper ] Curvature-based energy for simulation Denis Zorin , Shape Modeling International Proceedings , 2005 Curvature-based energy and forces are used in a broad variety of contexts, ranging from modeling of thin plates and shells to surface fairing and variational surface design. The approaches to discretization preferred in different areas often have little in common: engineering shell analysis is dominated by finite elements, while spring-particle models are often preferred for animation and qualitative simulation due to their simplicity and low computational cost. Both types of approaches have found applications in geometric modeling. While there is a well-established theory for finite element methods, alternative discretizations are less well understood: many questions about mesh dependence, convergence and accuracy remain unanswered. We discuss the general principles for defining curvaturebased energy on discrete surfaces based on geometric invariance and convergence considerations. We show how these principles can be used to understand the behavior of some commonly used discretizations, to establish relations between some well-known discrete geometry and finite element formulations and to derive new simple and efficient discretizations. [ Paper ] A survey of subdivision-based tools for surface modeling Ioana Boier-Martin, Denis Zorin , Fausto Bernardini, AMS/DIMACS Volume on Computer-Aided Design and Manufacturing , 2005 Subdivision surfaces have emerged as a powerful representation for surface modeling and design. They address important limitations of traditional spline-based methods, such as the ability to handle arbitrary topologies and to support multiscale editing operations. In this paper we survey existing subdivision-based modeling methods with emphasis on interactive tools for styling and decoration of 3D models. [ Paper ] Interactive modeling of topologically complex geometric detail Jiambo Peng, Daniel Kristjansson, Denis Zorin , ACM Transactions on Graphics (SIGGRAPH 2004 Proceedings), 2004 Volume textures aligned with a surface can be used to add topologically complex geometric detail to objects in an efficient way, while retaining an underlying simple surface structure. Adding a volume texture to a surface requires more than a conventional two-dimensional parameterization: a part of the space surrounding the surface has to be parameterized. Another problem with using volume textures for adding geometric detail is the difficulty in rendering implicitly represented surfaces, especially when they are changed interactively. In this paper we present algorithms for constructing and rendering volume-textured surfaces. We demonstrate a number of interactive operations that these algorithms enable. [ Paper ] [ Video ] A simple manifold-based construction of surfaces of arbitrary smoothness Lexing Ying, Denis Zorin , ACM Transactions on Graphics (SIGGRAPH 2004 Proceedings), 2004 We present a smooth surface construction based on the manifold approach of Grimm and Hughes. We demonstrate how this approach can relatively easily produce a number of desirable properties which are hard to achieve simultaneously with polynomial patches, subdivision or variational surfaces. Our surfaces are C-infinity-continuous with explicit nonsingular C-infinity parameterizations, high-order flexible at control vertices, depend linearly on control points, have fixed-size local support for basis functions, and have good visual quality. [ Paper ] Differentiable parametrization of Catmull-Clark subdivision surfaces Ioana Boier-Martin, Denis Zorin , Eurographics/SIGGRAPH Symposium on Geometry Processing , 2004 Subdivision-based representations are recognized as important tools for the generation of high-quality surfaces for Computer Graphics. In this paper we describe two parameterizations of Catmull-Clark subdivision surfaces that allow a variety of algorithms designed for other types of parametric surfaces (i.e., B-splines) to be directly applied to subdivision surfaces. In contrast with the natural parameterization of subdivision surfaces characterized by diverging first order derivatives around extraordinary vertices of valence higher than four, the derivatives associated with our proposed methods are defined everywhere on the surface. This is especially important for Computer-Aided Design (CAD) applications that seek to address the limitations of NURBS-based representations through the more flexible subdivision framework. [ Paper ] Lofting curve networks using subdivision surfaces Scott Schaefer , Joe Warren, Denis Zorin , Eurographics/SIGGRAPH Symposium on Geometry Processing , 2004 Lofting is a traditional technique for creating a curved shape by first specifying a network of curves that approximates the desired shape and then interpolating these curves with a smooth surface. This paper addresses the problem of lofting from the viewpoint of subdivision. First, we develop a subdivision scheme for an arbitrary network of cubic B-splines capable of being interpolated by a smooth surface. Second, we provide a quadrangulation algorithm to construct the topology of the surface control mesh. Finally, we extend the Catmull-Clark scheme to produce surfaces that interpolate the given curve network. Near the curve network, these lofted subdivision surfaces are C2 bicubic splines, except for those points where three or more curves meet. We prove that the surface is C1 with bounded curvature at these points in the most common cases; empirical results suggest that the surface is also C1 in the general case. [ Paper ] A kernel-independent adaptive fast multipole algorithm in two and three dimensions Lexing Ying, George Biros , Denis Zorin , Journal of Computational Physics , 2004 We present a new fast multipole method for particle simulations. The main feature of our algorithm is that it does not require the implementation of multipole expansions of the underlying kernel, and it is based only on kernel evaluations. Instead of using analytic expansions to represent the potential generated by sources inside a box of the hierarchical FMM tree. we use a continuous distribution of an equivalent density on a surface enclosing the box. To find this equivalent density, we match its potential to the potential of the original sources at a surface, in the far field, by solving local Dirichlet-type boundary value problems. The far-field evaluations are sparsified with singular value decomposition in 2D or fast Fourier transforms in 3D. We have tested the new method on the single and double layer operators for the Laplacian, the modified Laplacian, the Stokes, the modified Stokes, the Navier, and the modified Navier operators in two and three dimensions. Our numerical results indicate that our method compares very well with the best known implementations of the analytic FMM method for both the Laplacian and modified Laplacian kernels. Its advantage is the (relative) simplicity of the implementation and its immediate extension to more general kernels. [ Paper ] [ Code ] A discrete model for inelastic deformation of thin shells Adrian Secord, Eitan Grinspun , Denis Zorin , Technical report (poster presented at SCA 2004), 2004 We introduce a method for simulating the inelastic deformation of thin shells: we model plasticity and fracture of curved, deformable objects such as light bulbs, egg-shells and bowls. Our novel approach uses triangle meshes yet evolves fracture lines unrestricted to mesh edges. We present a novel measure of bending strain expressed in terms of surface invariants such as lengths and angles. We also demonstrate simple techniques to improve the robustness of standard timestepping as well as collision response algorithms. [ Paper ] A new parallel kernel-independent fast multipole method Lexing Ying, George Biros , M. Harper Langston, Denis Zorin , SC 2003: Proceedings of the 2003 ACM/IEEE conference on Supercomputing (Best student paper award, Gordon Bell prize finalist), 2003 We present a new adaptive fast multipole algorithm and its parallel implementation. The algorithm is kernel-independent in the sense that the evaluation of pairwise interactions does not rely on any analytic expansions, but only utilizes kernel evaluations. The new method provides the enabling technology for many important problems in computational science and engineering. Examples include viscous flows, fracture mechanics and screened Coulombic interactions. Our MPI-based parallel implementation logically separates the computation and communication phases to avoid synchronization in the upward and downward computation passes, and thus allows us to fully exploit computation and communication overlapping. We measure isogranular and fixed-size scalability for a variety of kernels on the Pittsburgh Supercomputing Center's TCS-1 Alphaserver on up to 3000 processors. We have solved viscous flow problems with up to 2.1 billion unknowns and we have achieved 1.6 Tflops/s peak performance and 1.13 Tflops/s sustained performance. [ Paper ] A fast solver for the Stokes equations with distributed forces in complex geometries George Biros , Lexing Ying, Denis Zorin , Journal of Computational Physics , 2003 We present a new method for the solution of the Stokes equations. The main features of our method are: (1) it can be applied to arbitrary geometries in a black-box fashion; (2) it is second-order accurate; and (3) it has optimal algorithmic complexity. Our approach, to which we refer as the embedded boundary integral method (EBI), is based on Anita Mayo's work for the Poisson's equation: 'The Fast Solution of Poisson's and the Biharmonic Equations on Irregular Regions', SIAM Journal on Numerical Analysis, 21 (1984) 285-299. We embed the domain in a rectangular domain, for which fast solvers are available, and we impose the boundary conditions as interface (jump) conditions on the velocities and tractions. We use an indirect boundary integral formulation for the homogeneous Stokes equations to compute the jumps. The resulting equations are discretized by Nystrom's method. The rectangular domain problem is discretized by finite elements for a velocity-pressure formulation with equal order interpolation bilinear elements (Q1-Q1). Stabilization is used to circumvent the inf-sup condition for the pressure space. For the integral equations, fast matrix-vector multiplications are achieved via an N log N algorithm based on a block representation of the discrete integral operator, combined with (kernel independent) singular value decomposition to sparsity low-rank blocks. The regular grid solver is a Krylov method (conjugate residuals) combined with an optimal two-level Schwartz-preconditioner. For the integral equation we use GMRES. We have tested our algorithm on several numerical examples and we have observed optimal convergence rates. [ Paper ] Sharp features on multiresolution subdivision surfaces Henning Biermann, Ioana Boier-Martin, Fausto Bernardini, Denis Zorin , Graphical Models (Previously appeared in Proceedings of PG 2001), 2002 In this paper we describe a method for creating sharp features and trim regions on multiresolution subdivision surfaces along a set of user-defined curves. Operations such as engraving, embossing, and trimming are important in many surface modeling applications. Their implementation, however, is nontrivial due to computational, topological, and smoothness constraints that the underlying surface has to satisfy. The novelty of our work lies in the ability to create sharp features anywhere on a surface and in the fact that the resulting representation remains within the multiresolution subdivision framework. Preserving the original representation has the advantage that other operations applicable to multiresolution subdivision surfaces can subsequently be applied to the edited model. We also introduce an extended set of subdivision rules for Catmull-Clark surfaces that allows the creation of creases along diagonals of control mesh faces. [ Paper ] The embedded boundary integral method for the incompressible Navier-Stokes equations George Biros , Lexing Ying, Denis Zorin , Proceedings of International Association for Boundary Element Methods 2002 Symposium , 2002 We present a new method for the solution of the unsteady incompressible Navier-Stokes equations. Our goal is to achieve a robust and scalable methodology for two and three dimensional incompressible flows. The discretization of the Navier-Stokes operator is done using boundary integrals and structured-grid finite elements. We use finite-differences to advance the equations in time. The convective term is discretized via a semi-Lagrangian formulation which not only results in a spatial constant-coefficient (modified) Stokes operator, but in addition is unconditionally stable. The Stokes operator is inverted by a double-layer boundary integral formulation. Domain integrals are computed via finite elements with appropriate forcing singularities to account for the irregular geometry. We use a velocity-pressure formulation which we discretize with bilinear elements (Q1-Q1), which give equal order interpolation for the velocities and pressures. Stabilization is used to circumvent the div-stability condition for the pressure space. The integral equations are discretized by Nystrom's method. For the specific approximation choices the method is second order accurate. Our code is built on top of PETSc, an MPI based parallel linear algebra library. We will present numerical results and discuss the performance and scalability of the method in two dimensions. [ Paper ] Cut-and-paste editing of multiresolution surfaces Henning Biermann, Ioana Boier-Martin, Fausto Bernardini, Denis Zorin , SIGGRAPH Proceedings , 2002 Cutting and pasting to combine different elements into a common structure are widely used operations that have been successfully adapted to many media types. Surface design could also benefit from the availability of a general, robust, and efficient cut-and-paste too], especially during the initial stages of design when a large space of alternatives needs to be explored. Techniques to support cut-and-paste operations for surfaces have been proposed in the past, but have been of limited usefulness due to constraints on the type of shapes supported and the lack of real-time interaction. In this paper, we describe a set of algorithms based on multiresolution subdivision surfaces that per-form at interactive rates and enable intuitive cut-and-paste operations. [ Paper ] [ Video ] Evaluation of piecewise smooth subdivision surfaces Denis Zorin , Daniel Kristjansson, Visual Computer , 2002 In this paper we consider the constant-time evaluation of subdivision surfaces at arbitrary points. Our work extends the work of J. Stam by considering the subdivision rules for piecewise smooth surfaces with boundaries depending on parameters. The main innovation described in this paper is the idea of using a different set of basis vectors for evaluation, which, unlike eigenvectors, depend continuously on the coefficients of the subdivision rules. The advantage of this approach is that it becomes possible to define evaluation for parametric families of rules without considering an excessive number of special cases and while improving the numerical stability of calculations. We demonstrate how such bases are computed for a particular parametric family of subdivision rules extending Loop subdivision to meshes with boundaries, and we provide a detailed description of the evaluation algorithms. [ Paper ] Approximate boolean operations on free-form solids Henning Biermann, Daniel Kristjansson, Denis Zorin , SIGGRAPH 2001 Proceedings , 2001 In this paper we describe a method for computing approximate results of boolcan operations (union, intersection, difference) applied to free-form solids bounded by multiresolution subdivision surfaces. We present algorithms for generating a control mesh for a multiresolution surface approximating the result, optimizing the parameterization of the new surface with respect to the original surfaces, and fitting the new surface to the geometry of the original surfaces. Our algorithms aim to minimize the size and optimize the quality of the new control mesh. The original control meshes are modified only in a neighborhood of the intersection. While the main goal is to obtain approximate results, high-accuracy approximations are also possible at additional computational expense, if the topology of the intersection curve is resolved correctly. [ Paper ] Simple and efficient algorithm for surface denoising Jiambo Peng, Vasily Strela, Denis Zorin , IEEE Visualization 2001 Proceedings , 2001 We present a simple denoising technique for geometric data represented as a semiregular mesh, based on locally adaptive Wiener filtering. The degree of denoising is controlled by a single parameter (an estimate of the relative noise level) and the time required for denoising is independent of the magnitude of the estimate. The performance of the algorihm is sufficiently fast to allow interactive local denoising. [ Paper ] [ Video ] Nonmanifold subdivision Lexing Ying, Denis Zorin , IEEE Visualization 2001 Proceedings , 2001 Commonly-used subdivision schemes require manifold control meshes and produce manifold surfaces. However, it is often necessary to model nonmanifold surfaces, such as several surface patches meeting at a common boundary.In this paper, we describe a subdivision algorithm that makes it possible to model nonmanifold surfaces. Any triangle mesh, subject only to the restriction that no two vertices of any triangle coincide, can serve as an input to the algorithm. Resulting surfaces consist of collections of manifold patches joined along nonmanifold curves and vertices. If desired, constraints may be imposed on the tangent planes of manifold patches sharing a curve or a vertex.The algorithm is an extension of a well-known Loop subdivision scheme, and uses techniques developed for piecewise smooth surfaces. [ Paper ] Texture and shape synthesis on surfaces Lexing Ying, Aaron Hertzmann , Henning Biermann, Denis Zorin , Proceedings of 12th Eurographics Workshop on Rendering 2001 , 2001 We present a novel method for texture synthesis on surfaces from examples. We consider a very general type of textures, including color, transparency and displacements. Our method synthesizes the texture directly on the surface, rather than synthesizing a texture image and then mapping it to the surface. This approach avoids many problems associated with texture mapping, such as seams, distortion, and repeating patterns. The synthesized textures have the same qualitative visual appearance as the example texture, and cover the surfaces seamlessly, without distortion. We describe two synthesis methods, based on the work of Wei and Levoy and Ashikhmin; our techniques produce similar results but directly on surfaces. [ Paper ] 4-8 subdivision Luiz Velho , Denis Zorin , Computer-Aided Geometric Design (Special Issue on Subdivision), 2001 In this paper we introduce 4-8 subdivision, a new scheme that generalizes the four-directional box spline of class C-4 to surfaces of arbitrary topological type. The crucial advantage of the proposed scheme is that it uses bisection refinement as an elementary refinement operation, rather than more commonly used face or vertex splits. In the uniform case, bisection refinement results in doubling, rather than quadrupling of the number of faces in a mesh. Adaptive bisection refinement automatically generates conforming variable-resolution meshes in contrast to face and vertex split methods which require a postprocessing step to make an adaptively refined mesh conforming. The fact that the size of faces decreases more gradually with refinement allows one to have greater control over the resolution of a refined mesh. It also makes it possible to achieve higher smoothness while using small stencils (the size of the stencils used by our scheme is similar to Loop subdivision). We show that the subdivision surfaces produced by the 4-8 scheme are C-4 continuous almost everywhere, except at extraordinary vertices where they are is C-1-continuous. [ Paper ] A Unified framework for primal/dual quadrilateral subdivision Schemes Denis Zorin , Peter Schroeder , Computer-Aided Geometric Design (Special Issue on Subdivision), 2001 Quadrilateral subdivision schemes come in primal and dual varieties, splitting faces or respectively vertices. The scheme of Catmull-Clark is an example of the former, while the Doo-Sabin scheme exemplifies the latter. In this paper we consider the construction of an increasing sequence of alternating primal/dual quadrilateral subdivision schemes based on a simple averaging approach. Beginning with a vertex split step we successively construct variants of Doo-Sabin and Catmull-Clark schemes followed by novel schemes generalizing B-splines of bidegree up to nine. We prove the schemes to be C-1 at irregular surface points, and analyze the behavior of the schemes as the number of averaging steps increases. We discuss a number of implementation issues common to all quadrilateral schemes. In particular we show how both primal and dual quadrilateral schemes can be implemented in the same code, opening up new possibilities for more flexible geometric modeling applications and p-versions of the Subdivision Element Method. Additionally we describe a simple algorithm for adaptive subdivision of dual schemes. [ Paper ] Piecewise smooth subdivision surfaces with boundary and normal control Henning Biermann, Adi Levin, Denis Zorin , SIGGRAPH Proceedings , 2000 In this paper we introduce improved rules for Catmull-Clark and Loop subdivision that overcome several problems with the original schemes, namely, lack of smoothness at extraordinary boundary vertices and folds near concave corners. In addition, our approach to rule modification allows the generation of surfaces with prescribed normals, both on the boundary and in the interior, which considerably improves control of the shape of surfaces. [ Paper ] [ Code ] Artistic multi-projection images Maneesh Agrawala, Denis Zorin , Tamara Munzner, Proceedings of 11th Eurographics Workshop on Rendering , 2000 In composing hand-drawn images of 3D scenes, artists often alter the projection for each object in the scene independently, thereby generating multiprojection images. We present a tool for creating such multiprojection images and animations, consisting of two parts: a multiprojection rendering algorithm and an interactive interface for attaching local cameras to the scene geometry. We describe a new set of techniques for resolving visibility between geometry rendered with different local cameras. We also develop several camera constraints that are useful when initially setting local camera parameters and when animating the scene. We demonstrate applications of our methods for generating a variety of artistic effects in still images and in animations. [ Paper ] [ Video ] Illustrating smooth surfaces Aaron Hertzmann , Denis Zorin , SIGGRAPH 2000 Proceedings , 2000 We present a new set of algorithms for line-art rendering of smooth surfaces. We introduce an efficient, deterministic algorithm for finding silhouettes based on geometric duality, and an algorithm for segmenting the silhouette curves into smooth parts with constant visibility. These methods can be used to find all silhouettes in real time in software. We present an automatic method for generating hatch marks in order to convey surface shape. We demonstrate these algorithms with a drawing style inspired by A Topological Picturebook by G. Francis. [ Paper ] [ Code ] A method for analysis of $C^1$-continuity of subdivision surfaces Denis Zorin , SIAM Journal of Numerical Analysis , 2000 A sufficient condition for C-1-continuity of subdivision surfaces was proposed by Reif [Comput. Aided Geom. Design, 12 (1995), pp. 153-174.] and extended to a more general setting in [Denis Zorin, Constr. Approx., accepted for publication]. In both cases, the analysis of C-1-continuity is reduced to establishing injectivity and regularity of a characteristic map. In all known proofs of C-1-continuity, explicit representation of the limit surface on an annular region was used to establish regularity, and a variety of relatively complex techniques were used to establish injectivity. We propose a new approach to this problem: we show that for a general class of subdivision schemes, regularity can be inferred from the properties of a sufficiently close linear approximation, and injectivity can be veri ed by computing the index of a curve. An additional advantage of our approach is that it allows us to prove C-1-continuity for all valences of vertices, rather than for an arbitrarily large but finite number of valences. As an application, we use our method to analyze C-1-continuity of most stationary subdivision schemes known to us, including interpolating butterfly and modified butterfly schemes, as well as the Kobbelt's interpolating scheme for quadrilateral meshes. [ Paper ] Smoothness of subdivision on irregular meshes Denis Zorin , Constructive Approximation , 2000 We derive necessary and sufficient conditions for tangent plane and C-k-continuity of stationary subdivision schemes near extraordinary vertices. Our criteria generalize most previously known conditions. We introduce a new approach to analysis of subdivision surfaces based on the idea of the universal surface. Any subdivision surface can be locally represented as a projection of the universal surface, which is uniquely defined by the subdivision scheme. This approach provides us with a more intuitive geometric understanding of subdivision near extraordinary vertices. [ Paper ] Subdivision for modeling and animation Denis Zorin , Peter Schroeder , Tony DeRose, Leif Kobbelt , Adi Levin, Wim Sweldens, SIGGRAPH 2000 Course Notes, (earlier version 1999) , 2000 This course provides an introduction to Subdivision, a technique to generate smooth curves and surfaces, which extends classical spline modeling approaches. The course will cover the basic ideas of subdivision as well as the particulars of a number of different subdivision algorithms; we will present the most recent contributions to the area in a form accessible to a wide audience. The emphasis will be on practical issues in using subdivision for geometric modeling and animation. [ Link ] Interactive multiresolution mesh editing Denis Zorin , Peter Schroeder , Wim Sweldens, SIGGRAPH 1997 Proceedings , 1997 We describe a multiresolution representation for meshes based on subdivision,which is a natural extension of the existing patch-based surface representations. Combining subdivision and the smoothing algorithms of Taubin [26] allows us to construct a set of algorithms for interactive multiresolution editing of complex hierarchical meshes of arbitrary topology. The simplicity of the underlying algorithms for refinement and coarsification enables us to make them local and adaptive, thereby considerably improving their efficiency. We have built a scalable interactive multiresolution editing system based on such algorithms. [ Paper ] [ Video 1 ] [ Video 2 ] [ Video 3 ] [ Video 4 ] [ Video 5 ] Interpolation subdivision for meshes of arbitrary topology Denis Zorin , Wim Sweldens, Peter Schroeder , SIGGRAPH 1996 Proceedings , 1996 Subdivision is a powerful paradigm for the generation of surfaces of arbitrary topology. Given an initial triangular mesh the goal is to produce a smooth and visually pleasing surface whose shape is controlled by the initialmesh. Of particular interest are interpolating schemes since they match the original data exactly, and play an important role in fast multiresolution and wavelet techniques. Dyn, Gregory, and Levin introduced the Butterfly scheme, which yields C1 surfaces in the topologically regular setting. Unfortunately it exhibits undesirable artifacts in the case of an irregular topology. We examine these failures and derive an improved scheme, which retains the simplicity of the Butterfly scheme, is interpolating, and results in smoother surfaces. [ Paper ] [ Video ] Correction of geometric perceptual distortion in pictures Denis Zorin , Alan H. Barr, SIGGRAPH 1995 Proceedings , 1995 We suggest an approach for correcting several types of perceived geometric distortions in computer-generated and photographic images. The approach is based on a mathematical formalization of desirable properties of pictures. From a small set of simple assumptions we obtain perceptually preferable viewing transformations and show that these transformations can be decomposed into a perspective or parallel projection followed by a planar transformation. The decomposition is easily implemented and provides a convenient framework for further analysis of the image mapping. We prove that two perceptually important properties are incompatible and cannot be satisfied simultaneously. It is impossible to construct a viewing transformation such that the images of all lines are straight and the images of all spheres are exact circles. Perceptually preferable tradeoffs between these two types of distortions can depend on the content of the picture. We construct parametric families of transformations with parameters representing the relative importance of the perceptual characteristics. By adjusting the settings of the parameters we canminimize the overall distortion of the picture. It turns out that a simple family of transformations produces results that are sufficiently close to optimal. We implement the proposed transformations and apply them to computer-generated and photographic perspective projection images. Our transformations can considerably reduce distortion in wide-angle motion pictures and computer-generated animations. [ Paper ] [ Video ] Symmetric constraints in classification problems that admit replacement by functional constraints Denis Zorin , Cybernetics and Systems Analysis , 1993 [ Paper ] [ Link ] On a connection between homogeneity and independence constraints for classification algorithms Denis Zorin , Cybernetics and Systems Analysis , 1991 We describe a set of functional universal constraints for classification algorithms that correspond to particular systems of symmetric universal constraints. [ Paper ] [ Link ] Menu News People Publications Software Datasets Teaching Contacts info@geometriccomputing.org (212) 998-3208 Courant Institute of Mathematical Sciences New York University 60 5th Ave, 5th floor New York, NY 10011 Design: HTML5 UP . Toggle diff --git a/src/data/compiled_bios/3222.txt b/src/data/compiled_bios/3222.txt new file mode 100644 index 0000000000..5e8ef1f422 --- /dev/null +++ b/src/data/compiled_bios/3222.txt @@ -0,0 +1 @@ + Stanley C. Ahalt is a Professor in the Department of Computer Science at the University of North Carolina at Chapel Hill and Director of the Renaissance Computing Institute. He became RENCI director in September 2009. He comes to RENCI from Ohio, where he served as executive director of the Ohio Supercomputer Center (OSC) from 2003 2009 and as a professor in the department of electrical and computer engineering at The Ohio State University for 22 years. Since coming to Carolina, Ahalt has developed key partnerships between RENCI and computer science and developed research partnerships involving RENCI, the UNC School of Medicine, the UNC School of Information and Library Sciences, and various research units at North Carolina State and Duke universities. He is a member of Microsofts Technical Computing Advisory Committee and will begin a term as president of the Board of the Great Lakes Consortium for Petascale Computation (GLCPC) in fall 2011. He currently chairs the GLCPC Allocation Committee. Ahalt chairs the subcommittee on regional computing centers for the National Science Foundation Taskforce on High Performance Computing and was a key contributor to the NSF Data and Visualization and Campus Bridging Task Force reports, two of the six reports that comprise the NSF-wide Advisory Committee for Cyberinfrastructure reports published in April, 2011. He chaired the Coalition for Academic Scientific Computation (CASC) in 2009 and 2010, served as a member of the Board for National Lambda Rail, a major network for advanced research and innovation, and has been a member of the Council on Competitiveness High Performance Computing Advisory Committee since 2004. Dr. Ahalt launched several model programs at OSC, including Blue Collar Computing, a national program to bring high performance computing to a wide spectrum of industries and applications, and OSCnet, a leading high-speed research network for K-12 schools, higher education and economic development. He also served as co-chair of the Ohio Broadband Council, the coordinating body for the states initiative to extend the reach of the Broadband Ohio Network. Dr. Ahalts research expertise involves neural networks, high performance computing, signal/image/video processing and object identification. He has authored or co-authored more than 120 technical papers and been principal investigator or co-principal investigator on research grants totaling nearly $17 million. Dr. Ahalt also served as the academic lead in the area of signal and image processing for the Department of Defense High Performance Computing Modernization Program. He collaborates with a variety of organizations in his research programs, including the Army Research Laboratory, Wright Patterson Air Force Base and the Defense Advanced Research Projects Agency. As a member of the Ohio State faculty, Dr. Ahalt co-founded the Information Processing Systems Laboratory. He received the OSU Lumley Research Award in 1997 and the OSU College of Engineering Research Award in 1999. A native of Virginia, Dr. Ahalt holds a Ph.D. in electrical and computer engineering from Clemson University and masters and bachelors degrees in electrical engineering from Virginia Polytechnic Institute and State University. diff --git a/src/data/compiled_bios/3223.txt b/src/data/compiled_bios/3223.txt new file mode 100644 index 0000000000..4beed4e87a --- /dev/null +++ b/src/data/compiled_bios/3223.txt @@ -0,0 +1 @@ + Ron Alterovitz joined the faculty of the Department of Computer Science at the University of North Carolina at Chapel Hill in 2009. He leads theComputational Robotics Research Group, which addresses fundamental algorithmic challenges required to enable robots to safely and autonomously complete tasks in clinical and home environments. His research focuses on robot motion planning and physically-based simulation for medical and assistive robotics applications, including surgical assistance, treatment planning, medical image registration, physician training, and personal assistance. Dr. Alterovitz earned his B.S. with Honors from Caltech in 2001. He completed his Ph.D. at the University of California, Berkeley in 2006 in Industrial Engineering and Operations Research. Prior to joining UNC, he was selected for an NIH Postdoctoral Research Fellowship and conducted research at the Electrical Engineering and Computer Sciences Department at UC Berkeley and the UCSF Comprehensive Cancer Center. He also spent a year with the Robotics and AI group at LAAS-CNRS (National Center for Scientific Research) in Toulouse, France. Dr. Alterovitz has co-authored a book on Motion Planning in Medicine, was awarded a patent for a medical device, and has presented his work in journals and conferences sponsored by robotics, engineering, and medical associations including IEEE, the American Association of Physicists in Medicine, and the American Brachytherapy Society. He has received an IEEE Intelligent Robots and Systems (IROS) Best Paper Finalist award, an IEEE Robotics and Automation (ICRA) Best Medical Robotics Paper Finalist award, and the Computer Science Departments Excellence in Teaching Award. His research has been funded through awards from NIH, NSF, and DOD. diff --git a/src/data/compiled_bios/3224.txt b/src/data/compiled_bios/3224.txt new file mode 100644 index 0000000000..506eb2817e --- /dev/null +++ b/src/data/compiled_bios/3224.txt @@ -0,0 +1 @@ + James H. Anderson is a Kenan Professor in the Department of Computer Science at the University of North Carolina at Chapel Hill. He received a B.S. degree in Computer Science from Michigan State University in 1982, an M.S. degree in Computer Science from Purdue University in 1983, and a Ph.D. degree in Computer Sciences from the University of Texas at Austin in 1990. Before joining UNC-Chapel Hill in 1993, he was with the Computer Science Department at the University of Maryland between 1990 and 1993. In 1995, Dr. Anderson received the U.S. Army Research Office Young Investigator Award, and in 1996, he was named Alfred P. Sloan Research Fellow. He won the Computer Science Student Association Teaching Award in 1995, 2002, 2005, 2012,2014, and 2016. He is also a 2012 Fellow of the Institute of Electrical and Electronics Engineers (IEEE) and a 2013 Fellow of the Association for Computing Machinery (ACM). Hewas chair of the IEEE Technical Committee on Real-Time Systems (TCRTS) in 2016-2017. In 2018, he received the TCRTSOutstanding Technical Achievement and Leadership Award. He has served as program chair and general chair of several conferences and symposiums, including the ACM Symposium on Principles of Distributed Computing (PODC), the IEEE International Real-Time Systems Symposium (RTSS),the Euromicro Conference on Real-Time Systems (ECRTS), and the IEEE Real-Time and the Embedded Technology and Applications Symposium (RTAS). Prof. Andersons main research interests are within the areas of concurrent and distributed computing and real-time systems. diff --git a/src/data/compiled_bios/3225.txt b/src/data/compiled_bios/3225.txt new file mode 100644 index 0000000000..417d57cf26 --- /dev/null +++ b/src/data/compiled_bios/3225.txt @@ -0,0 +1 @@ + Dr. Mohit Bansal is an assistant professor in the Computer Science department at University of North Carolina (UNC) Chapel Hill. Prior to this, he was a research assistant professor (3-year endowed position) at TTI-Chicago. He received his PhD from UC Berkeley in 2013 (where he was advised by Dan Klein) and his BTech from IIT Kanpur in 2008. His research interests are in statistical natural language processing and machine learning, with a particular interest in multimodal, grounded, and embodied semantics (i.e., language with vision and speech, for robotics), human-like language generation and Q&A/dialogue, and interpretable and structured deep learning. He is a recipient of the 2017 DARPA Young Faculty Award, 2017 ACL Outstanding Paper Award, 2014 ACL Best Paper Award Honorable Mention, 2018 COLING Area Chair Favorites Paper Award, 2016 and 2014 Google Faculty Research Awards, 2018 Adobe Faculty Research Award, 2017 Facebook ParlAI Research Award, 2016 Bloomberg Data Science Award, and 2014 IBM Faculty Award. diff --git a/src/data/compiled_bios/3226.txt b/src/data/compiled_bios/3226.txt new file mode 100644 index 0000000000..574cf1970a --- /dev/null +++ b/src/data/compiled_bios/3226.txt @@ -0,0 +1 @@ + Tamara Berg is an associate professor in the Department of Computer Science at the University of North Carolina at Chapel Hill. Her research straddles the boundary between computer vision and natural language processing, with forays into social network analysis and human vision. The common theme underlying each facet of Tamaras research agenda is how to integrate disparate, but complementary sources of information associated with images and video. Tamara received a B.S. in Mathematics and Computer Science from the University of WisconsinMadison in 2001, and then completed a Ph.D. in Computer Science from the University of California, Berkeley in 2007 under the advisorship of Professor David Forsyth as a member of the Berkeley Computer Vision Group. Afterward, she spent one year as a research scientist at Yahoo! Research. From 2008-2013, Tamara was an Assistant Professor in the Computer Science department at Stony Brook University and core member of the consortium for Digital Art, Culture, and Technology (cDACT). She joined the Department of Computer Science in 2013. diff --git a/src/data/compiled_bios/3227.txt b/src/data/compiled_bios/3227.txt new file mode 100644 index 0000000000..209229d86f --- /dev/null +++ b/src/data/compiled_bios/3227.txt @@ -0,0 +1 @@ + Gary Bishop is a professor in the Department of Computer Science at the University of North Carolina at Chapel Hill. His research centers on the use of commodity computer technology to enable people with disabilities. He graduated with highest honors from the Southern Technical Institute in Marietta, Ga., with a degree in Electrical Engineering Technology in 1976. After working in the electrical power industry as a COBOL programmer, he came to UNC-Chapel Hill in 1979 to pursue graduate studies. For his first two years as a graduate student, he managed the Department of Computer Science in what is now the job of Associate Chair for Finance. He completed his Ph.D. in Computer Science in 1984. After working in industry at AT&T Bell Laboratories and Sun Microsystems, he joined the computer science faculty at UNC-Chapel Hill in 1991. His earlier research focused on hardware and software for human machine interaction, 3D graphics, motion tracking, virtual environments, and image-based rendering. Bishop was one of the first four professors chosen to be a Faculty Engaged Scholar, named by the Carolina Center for Public Service and the Office of the Vice Chancellor for Public Service to conduct projects that connect faculty work and community needs. He also received the Kauffman Entrepreneurial Fellowship. literacy, switch access, accessibility, games, visually impaired, visual impairment, blind, motor impaired, motor impairment, disabled, disability, movement diff --git a/src/data/compiled_bios/3228.txt b/src/data/compiled_bios/3228.txt new file mode 100644 index 0000000000..f43f75cff8 --- /dev/null +++ b/src/data/compiled_bios/3228.txt @@ -0,0 +1 @@ + Prasun Dewan is a Professor in the Department of Computer Science at the University of North Carolina at Chapel Hill. Before joining UNC-Chapel Hill, he was on the faculty of Purdue University. He received a B.Tech. degree in Electrical Engineering from the Indian Institute of Technology of New Delhi and a Ph.D. in Computer Science from University of Wisconsin at Madison. His research interests are in frameworks for implementing single-user and multi-user applications, collaborative software engineering,distributed/migratory and replicated objects,mobile computing, and interoperability. He has been an associate editor ofACM Transactions on Computer Human Interaction, ACM Transactions on Information Systems,andJournal ofComputer Supported Cooperative Work. diff --git a/src/data/compiled_bios/3229.txt b/src/data/compiled_bios/3229.txt new file mode 100644 index 0000000000..64149ab58c --- /dev/null +++ b/src/data/compiled_bios/3229.txt @@ -0,0 +1 @@ + Parasara Sridhar Duggirala is an Assistant Professor in the Department of Computer Science at University of North Carolina at Chapel Hill. Prior to this, he was an Assistant Professor in the Computer Science and Engineering Department and UTC Institute for Advanced Systems Engineering at University of Connecticut from August 2015 December 2018. He has received his PhD from University of Illinois at Urbana Champaign in 2015 and B.Tech from IIT Guwahati in 2009. His research interests span fields of Cyber-Physical Systems, Formal Methods, Control Theory, Hybrid Systems, Autonomy, Embedded and Real-Time Systems, and Probabilistic Systems. He has received Best Paper Award at International Conference on Embedded Software (EMSOFT) 2013, Most Promising Benchmark Result by Robert Bosh at ARCH Workshop in CPS Week 2015, and Best Paper Award at ARCH Workshop in CPS Week 2017. He was selected as a Young Researcher to attend the Heidelberg Laureate Forum in 2014. diff --git a/src/data/compiled_bios/323.txt b/src/data/compiled_bios/323.txt new file mode 100644 index 0000000000..7bc9dc36f9 --- /dev/null +++ b/src/data/compiled_bios/323.txt @@ -0,0 +1 @@ +Name: Bereg, Sergey:: Position: Associate Professor:: Degrees: Ph.D., Institute of Mathematics, Belarus; Research Interests: Computational Biology and Bioinformatics; Computational Geometry and Geometric Optimization; Networks and Communications; Geographic Information Systems; Facility Location; Pattern Matching; diff --git a/src/data/compiled_bios/3230.txt b/src/data/compiled_bios/3230.txt new file mode 100644 index 0000000000..67c722ca99 --- /dev/null +++ b/src/data/compiled_bios/3230.txt @@ -0,0 +1 @@ + Michael J. Fern is the Associate Chair for Administration, Finance, and Entrepreneurship in the Department of Computer Science at the University of North Carolina at Chapel Hill. Previously, Michael founded two software (SaaS) companies, includingContentGems.com, a content curation platform for marketers, andUtilium.com, an online learning management system. Michael also provided strategy consulting for both high- and low-tech companies such as Dolby Laboratories and Rift Valley Holdings, one of the largest agribusiness firms in Sub-Saharan Africa. In addition to his startup and consulting experience, Michael has served as a professor of strategy at Korea University (visiting), Santa Clara University, and the University of Victoria. As a professor, Michael conducted research in the areas of strategic decision-making, new product development, and entrepreneurship. He taught in the areas of strategy, innovation, and entrepreneurship, including teaching Strategy in High Technology Firms in Santa Clara Universitys evening MBA program and Corporate Innovation and Entrepreneurship in Korea Universitys Global MBA program. Michaels work has been published in leading academic journals (i.e., Strategic Management Journal, Academy of Management Journal, and Organization Science) and he haspresented his work at a number of U.S. and international conferences and events. Hehas received Fellowships and research grants from Booz Allen Hamilton,the StrategicManagement Society, the Ewing Marion Kauffman Foundationfor entrepreneurship, and the Canadian government. Michael received his Ph.D. in Strategic Management from the Kenan-Flagler Business School, UNC Chapel Hill. He received a Bachelors of Science, Summa Cum Laude, from the University of Oregon. diff --git a/src/data/compiled_bios/3231.txt b/src/data/compiled_bios/3231.txt new file mode 100644 index 0000000000..68a9ac5462 --- /dev/null +++ b/src/data/compiled_bios/3231.txt @@ -0,0 +1 @@ + Jan-Michael Frahm is an Associate Professor at the University of North Carolina at Chapel Hill. He received his Ph.D in computer vision in 2005 from the Christian-Albrechts University of Kiel, Germany. His dissertation, Camera Self-Calibration with Known Camera Orientation received the prize for that years best Ph.D. dissertation in CAUs College ofEngineering.His Diploma in Computer Science is from the University ofLbeck. Dr. Frahms research interests include a variety of computer vision problems. He has worked on structure from motion for single/multi-camera systems for static and dynamic scenes to create 3D models of the scene; real-time multi-view stereo to create a dense scene geometry from camera images; use of camera-sensor systems for 3D scene reconstruction with fusion of multiple orthogonal sensors; improved robust and fast estimation methods from noisy data to compensate for highly noisy measurements in various stages of the reconstruction process; high performance feature tracking for salient image-point motion extraction; and the development of data-parallel algorithms for commodity graphics hardware for efficient 3D reconstruction. Dr. Frahm has worked at UNC in the real-time urban modeling project UrbanScape and received the Best Demo Award for it at CVPR 2007. He has written more than 100 peer-reviewed and invited publications. diff --git a/src/data/compiled_bios/3232.txt b/src/data/compiled_bios/3232.txt new file mode 100644 index 0000000000..9fda14916f --- /dev/null +++ b/src/data/compiled_bios/3232.txt @@ -0,0 +1 @@ + Henry Fuchs is the Federico Gil Distinguished Professor of Computer Science and Adjunct Professorof Biomedical Engineering at The University of North Carolina at Chapel Hill. Fuchs is aco-director, with Nadia Thalmann of NTU Singapore and Markus Gross of ETH Zurich, of the NTU-ETH-UNC BeingThere International Research Centre for Tele-Presence and Tele-Collaboration.In 1975 he received a Ph.D. in Computer Science from the University of Utah. He has been active in computer graphics since the 1970s, with rendering algorithms (BSP Trees), hardware (Pixel-Planes and PixelFlow), virtual environments, tele-immersion systems and medical applications. He is a member of the National Academy of Engineering, a fellow of the American Academy of Arts and Sciences, a fellow of the ACM, recipient of the 1992 ACM-SIGGRAPH Achievement Award and recipient of the IEEE VGTC 2013 Virtual Reality Career Award. diff --git a/src/data/compiled_bios/3233.txt b/src/data/compiled_bios/3233.txt new file mode 100644 index 0000000000..02f23167fb --- /dev/null +++ b/src/data/compiled_bios/3233.txt @@ -0,0 +1 @@ + Kevin Jeffay is the Gillian T. Cell Distinguished Professor of Computer Science in the Department of Computer Science at the University of North Carolina at Chapel Hill. He received his Ph.D. from the University of Washington in 1989. His research and teaching interests are in computer networks, real-time systems, operating systems, and multimedia systems. He and his students focus on the general problem of improving the performance of communication services on the Internet. diff --git a/src/data/compiled_bios/3234.txt b/src/data/compiled_bios/3234.txt new file mode 100644 index 0000000000..037fe9358a --- /dev/null +++ b/src/data/compiled_bios/3234.txt @@ -0,0 +1 @@ + Tessa Joseph-Nicholas, MFA/PhD, is Senior Lecturer, Director of Digital Arts and Humanities Projects, and Diversity Liaison to the College of Arts and Sciences in the Department of Computer Science at the University of North Carolina at Chapel Hill. Her teaching and research explore the intersection of computing technologies and human culture with a blend of approaches and methods from the computational to the creative. Areas of focus include Internet histories, cultures, and communities; digital literatures, languages, and poetics; inclusive, accessible UI and web design; net neutrality and open culture; broadening participation in technology and computer science; and expanding digital literacies across the disciplines. Joseph-Nicholas is a Digital Innovation Lab/Institute for the Arts and Humanities Faculty Fellow and sits on the Steering Committee of the Carolina Digital Humanities Initiative. She has received several awards and grants in support of her teaching, including the William B. Friday Excellence in Teaching Award; an Institute for the Arts and Humanities Innovation Grant, a Data@Carolina Course Development Grant, and two grants to build a service-learning program addressing technology needs and deployments in underserved local communities. Her current projects include the transdisciplinary, pedagogically oriented Coding Diversity, Diversities of Code, an investigation of social media conversations around diversity and inclusion in technology through data mining and visualization methods. diff --git a/src/data/compiled_bios/3235.txt b/src/data/compiled_bios/3235.txt new file mode 100644 index 0000000000..e7a9603735 --- /dev/null +++ b/src/data/compiled_bios/3235.txt @@ -0,0 +1 @@ + Jasleen Kaur is an Associate Professor in the Department of Computer Science at the University of North Carolina at Chapel Hill. She received her B.Tech. in Computer Science and Engineering from the Indian Institute of Technology, Kanpur, in 1997, where she was also awarded the Motorola Student of the Year Gold Medal. She earned an M.S. and Ph.D. in Computer Sciences from the University of Texas at Austin in 1999 and 2002, respectively. She is a recipient of the J.C. Browne Graduate Fellowship and the M.C.D. Fellowship from the University of Texas at Austin. Dr. Kaurs research interests lie in the design and evaluation of networks and operating systems. Her recent research efforts have focused on Internet measurements and protocol modeling. Her current research projects include design of ultra-high speed transport protocols, bandwidth estimation techniques, passive TCP performance analysis, and scalable tomographic infrastructures and monitoring techniques. She is a recipient of the NSF CAREER Award in 2004, and the UNC Junior Faculty Development Award in 2004. diff --git a/src/data/compiled_bios/3236.txt b/src/data/compiled_bios/3236.txt new file mode 100644 index 0000000000..f8f6069f50 --- /dev/null +++ b/src/data/compiled_bios/3236.txt @@ -0,0 +1 @@ + Ming C. Lin received her B.S., M.S., Ph.D. degrees in Electrical Engineering and Computer Science in 1988, 1991, 1993 respectively from the University of California, Berkeley. She has received numerous honors and awards, including the NSF Young Faculty Career Award in 1995, Honda Research Initiation Award in 1997, UNC/IBM Junior Faculty Development Award in 1999, UNC Hettleman Award for Scholarly Achievements in 2002, Beverly W. Long Distinguished Term Professor 2007-2010, Carolina Womens Center Faculty Scholar in 2008, Carolinas WOWS Scholar 2009-2011, IEEE VGTC VR Technical Achievement Award 2010, and 8 best paper awards. She is also a 2011 Fellow of the Association for Computing Machinery (ACM) and a 2012 Fellow of the Institute of Electrical and Electronics Engineers (IEEE). Her research interests include computer graphics, robotics, and human-computer interaction, with focuses on physically-based modeling, haptics, algorithmic robotics, virtual environments, interactive techniques, geometric computing, and distributed interactive simulation. She has (co-)authored more than 220 refereed scientific publications, co-edited/authored four books, including Applied Computation Geometry by Springer-Verlag, High-Fidelity Haptic Rendering by Morgan-Claypool, Haptic Rendering: Foundations, Algorithms and Applications by A.K. Peters, and Algorithmic Foundations of Robotics by Springer-Verlag. She has served as a program committee member for over 100 leading conferences on virtual reality, computer graphics, robotics, haptics and computational geometry. She also has co-chaired over 20 international conferences and workshops, including the ACM Workshop on Applied Computational Geometry 1996, ACM Symposium on Solid Modeling and Applications 1999, Workshop on Intelligent Human Augementation and Virtual Environments 2002, ACM SIGGRAPH / EG Symposium on Computer Animation 2003, ACM Workshop on General Purpose Computing on Graphics Processors 2004, Eurographics 2005 Course/Tutorial Program, Computer Animation and Social Agents 2005, Eurographics Symposium on Virtual Environments 2006, Workshop on Edge Computing Using New Commodity Architectures 2006, IEEE Virtual Reality Conference 2007, ACM Symposium on Virtual Reality Software and Technology 2007, IEEE Virtual Reality Conference 2008, Eurographics Workshop on Natural Phenomena 2009, International Workshop on Algorithmic Foundations of Robotics 2010, ACM Symposium on Virtual Reality Software and Technology 2010, and Pacific Graphics 2011. She is the Editor-in-Chief of IEEE Transactions on Visualization and Computer Graphics (TVCG). She has served as an associate editor and guest editor of several journals and magazines, including IEEE TVCG, IEEE Computer Graphics and Applications, the Proceedings of IEEE, IEEE Transactions on Haptics, Computer Animation and Virtual Worlds, Computers & Graphics, the International Journal on Computational Geometry and Applications, IEEE Robotics and Automation Society Conference Editorial Board, World Haptics Conference Editorial Board, the International Journal on Virtual Reality, and ACM Computing Reviews. She also has served on the Steering/Executive Committees of IEEE Virtual Reality Conference (Chair) and of ACM SIGGRAPH/Eurographics Symposium on Computer Animation, Executive Committee of IEEE Computer Society Technical Committee on Visualization and Graphics, Paper Advisory Board of Eurographics 2009, Best Paper Award Committee of IEEE Visualization Conference, Advisory Board of IEEE Robotics and Automation Society and Computer Soceity Technical Committee on Haptics, Conference Board of IEEE Haptic Symposium, the Software Technical Advisory Board of AGEIA Inc, NSF Information Technology Research (ITR) Committee of Visitors, and several other technical advisory committees for the Army and the Department of Defense. diff --git a/src/data/compiled_bios/3237.txt b/src/data/compiled_bios/3237.txt new file mode 100644 index 0000000000..a4ae868f55 --- /dev/null +++ b/src/data/compiled_bios/3237.txt @@ -0,0 +1 @@ + Dinesh Manocha received his B.Tech. degree in computer science and engineering from the Indian Institute of Technology, Delhi in 1987; M.S. and Ph.D. in computer science at the University of California at Berkeley in 1990 and 1992, respectively. He received Alfred and Chella D. Moore fellowship and IBM graduate fellowship in 1988 and 1991, respectively, and a Junior Faculty Award in 1992. He was selected an Alfred P. Sloan Research Fellow, received NSF Career Award in 1995 and Office of Naval Research Young Investigator Award in 1996, Honda Research Initiation Award in 1997, and Hettleman Prize for scholarly achievement at UNC Chapel Hill in 1998. He has also received 12 best paper and panel awards at the ACM SuperComputing, ACM Multimedia, ACM Solid Modeling, Pacific Graphics, IEEE VR, IEEE Visualization, Eurographics, ACM SIGMOD, ACM VRST, CAD, I/ITSEC Conferences. He is a Fellow of ACM (Associations for Computing Machinery), AAAS (American Association for the Advancement of Science) and IEEE (Institute of Electrical and Electronics Engineers). He received Distinguished Alumni Award from Indian Institute of Technology (IIT) Delhi. His research interests include geometric and solid modeling, interactive computer graphics, and robotics. His research has been sponsored by more than 60 grants from ARO, DARPA, Disney, DOE, Honda, IARPA, Intel, Microsoft, NSF, NVidia, ONR, Sloan Foundation, Willow Garage, etc. He has published more than 320 papers in leading conferences and journals on computer graphics, geometric and solid modeling, robotics, symbolic and numeric computation, virtual reality, molecular modeling and computational geometry.His research group has developed many well-known software packages for collision detection, triangulation, GPU-based algorithms, solid modeling, crowd simulation and scientific computation. These packages have been downloaded by more than 100,000 users worldwide and licensed to more than 50industrial organizations including Intel, Microsoft, Disney, Ford, Kawasaki, Siemens, Electronic Arts, Phillips Labs, MSC Software, Lockheed Martin, Raytheon etc.He has served as a program committee member for more than 90 leading conferences on virtual reality, computer graphics, computational geometry, geometric and solid modeling, animation and molecular modeling. He has served as program co-chair for the ACM SIGGRAPH workshop on simulation and interaction in virtual environments, ACM Workshop on Applied Computational Geometry, Pacific Graphics, ACM Symposiums on Solid and Physical Modeling, Edge Computing Workshop and ACM Workshop on GPGP. He has served on the editorial boards of IEEE Transactions on Visualization and Computer Graphics, Graphical Models and Imaging Processing, Journal of Applicable Algebra, ACM Transactions on Graphics, International Journal of High Performance Computing and Applications, and guest co-editor for special issues of Computer-Aided Design, Computer-Aided Geometric Design, IEEE TASE, IEEE CG & A, Parallel Computing, and Proceedings of IEEE. He has supervised more than 45 M.S. and Ph.D. students at the University of North Carolina at Chapel Hill. diff --git a/src/data/compiled_bios/3238.txt b/src/data/compiled_bios/3238.txt new file mode 100644 index 0000000000..f4c06471e2 --- /dev/null +++ b/src/data/compiled_bios/3238.txt @@ -0,0 +1 @@ + Ketan Mayer-Patel is an associate professor in the Department of Computer Science at the University of North Carolina at Chapel Hill. He received his Ph.D. in Computer Science in 1999 from the University of California at Berkeley. His research generally focuses on multimedia systems, networking, and multicast applications. Currently, he is investigating model-based video coding, dynamic media coding models, and networking problems associated with multiple independent, but semantically related, media streams. diff --git a/src/data/compiled_bios/3239.txt b/src/data/compiled_bios/3239.txt new file mode 100644 index 0000000000..32da4b03fc --- /dev/null +++ b/src/data/compiled_bios/3239.txt @@ -0,0 +1 @@ + Fabian Monrose is a Professor of Computer Science at the University of North Carolina at Chapel Hill. Prior to joining UNC, he was an Associate Professor at Johns Hopkins University, and a founding member of the Johns Hopkins Information Security Institute. From 1999 to 2002, he served as a member of technical staff at Bell Labs, Lucent Technologies. He has received several awards, including a National Science Foundation CAREER award in 2006, and best paper awards at flagship security conferences, including the IEEE Security and Privacy and USENIX Security Symposiums. He has published over 75 papers in computer and communications security. He received his Ph.D. and M.Sc. from the Courant Institute of Mathematical Sciences at New York University. diff --git a/src/data/compiled_bios/324.txt b/src/data/compiled_bios/324.txt new file mode 100644 index 0000000000..e8dda282d2 --- /dev/null +++ b/src/data/compiled_bios/324.txt @@ -0,0 +1 @@ +Name: Borazjany, Mehra:: Position: Senior Lecturer:: Degrees: Ph.D., Computer Science, The University of Texas at Arlington, 2013; M.S., Computer Architecture, Iran University of Science and Technology, 2007; Research Interests: Software Engineering; Software Testing; Software Security; RepresentativePublications: Mehra N.Borazjany, Laleh Gh., Yu Lei, Raghu Kacker, and Rick Kuhn. An Input Space Modeling Methodology for Combinatorial Testing, In Software Testing, Verification and Validation (ICSTW), 2013 IEEE Sixth International Conference on, pp. 372-381. IEEE, 2013.; Laleh Gh., Mehra N. Borazjany, Yu Lei, R.N. Kacker, and D.R. Kuhn, Applying Combinatorial Testing to the Siemens Suite, In Software Testing, Verification and Validation (ICSTW), 2013 IEEE Sixth International Conference. IEEE, 2013.; Linbin Yu, Borazjany, Mehra N., Yu Lei, Raghu Kacker, and Rick Kuhn. An Efficient Algorithm for Constraint Handling in Combinatorial Test Generation. In Software Testing, Verification and Validation (ICST), 2013 IEEE sixth International Conference on, pp, 242-251. IEEE, 2012.; Borazjany, Mehra N., Linbin Yu, Yu Lei, Raghu Kacker, and Rick Kuhn. Combinatorial testing of acts: A case study. In Software Testing, Verification and Validation (ICST), 2012 IEEE Fifth International Conference on, pp. 591-600. IEEE, 2012.; diff --git a/src/data/compiled_bios/3240.txt b/src/data/compiled_bios/3240.txt new file mode 100644 index 0000000000..acfe7ae277 --- /dev/null +++ b/src/data/compiled_bios/3240.txt @@ -0,0 +1 @@ + Marc Niethammer is a Professor at University of North Carolina at Chapel Hill with a joint appointment in the Department of Computer Science and with the Biomedical Research Imaging Center (BRIC). He received his Dip.-Ing. in Engineering Cybernetics from the Universitaet Stuttgart, Germany, his M.Sc. in Engineering Science and Mechanics as well as Applied Mathematics from the Georgia Institute of Technology, where he obtained his Ph.D. in Electrical and Computer Engineering in 2004. After post-doctoral training at Harvard Medical School/Brigham and Womens Hospital, Dr. Niethammer joined UNC in 2008. Dr. Niethammers research interests lie in the areas of medical image analysis and image-based control and estimation theory. He has worked in a variety of areas and has published on topics that include structural health monitoring, visual tracking, shape analysis, image segmentation, and processing and analysis of (diffusion-weighted) magnetic resonance imaging. He is particularly interested in interdisciplinary research and is currently focusing on applications in biology and medicine. diff --git a/src/data/compiled_bios/3241.txt b/src/data/compiled_bios/3241.txt new file mode 100644 index 0000000000..582c880113 --- /dev/null +++ b/src/data/compiled_bios/3241.txt @@ -0,0 +1 @@ + Shahriar Nirjon is an assistant professor in the Department of Computer Science at the University of North Carolina at Chapel Hill. Shahriar is interested in building practical cyber-physical systems that involve embedded sensors and mobile devices, mobility and connectivity, and mobile data analytics. Research challenges that he deals with include practical issues in physical world sensing, user-contexts and mobility, real-time issues, and resource constraints of the embedded platform. His work has applications in the area of remote health and wellness monitoring, and mobile health. Shahriar received his Ph.D. from the University of Virginia, Charlottesville in 2014. Shahriar has won a number of awards, including two Best Paper Awards, at the Mobile Systems, Applications and Services (MOBISYS 2014), and the Real-Time and Embedded Technology and Applications Symposium (RTAS 2012). Shahriar has worked as a Research Scientist in the Networking and Mobility Lab at the Hewlett-Packard Labs in Palo Alto, CA (2014 2015), and as a Research Intern at Microsoft Research, Redmond, WA (Summer 2013) and at Deutsche Telekom Lab, Los Altos, CA (Summer 2010). Several of his work have been highlighted in the electronic and print media, including the Economist, the New Scientist, and the BBC. Honors Best Paper Award, The 12th International Conference on Mobile Systems, Applications, and Services (MOBISYS 2014). Best Paper Award, The 18th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS 2012). Selected Publications Typing Ring: A Wearable Ring Platform for Text Input. S. Nirjon, J. Gummeson, D. Gelb, and K. Kim, ACM Mobisys, May 2015. COIN-GPS: Indoor Localization from Direct GPS Receiving. S. Nirjon, J. Liu, B. Priyantha, G. Dejean, Y. Jin, and T. Hart, ACM Mobisys, June 2014. (Best Paper Award) Auditeur: A Mobile-Cloud Service Platform for Acoustic Event Detection on Smartphones. S. Nirjon, R. Dickerson, P. Asare, Q. Li, D. Hong, J. Stankovic, P. Hu, G. Shen, and X. Jiang, ACM Mobisys, June 2013. Musical Heart: A Hearty Way of Listening to Music. S. Nirjon, R. Dickerson, Q. Li, P. Asare, J. Stankovic, D. Hong, B. Zhang, G. Shen, X. Jiang, and F. Zhao, ACM Sensys, November 2012. MultiNets: Policy Oriented Real-Time Switching of Wireless Interfaces on Mobile Devices. S. Nirjon, A. Nicoara, C. Hsu, J. Singh, and J. Stankovic, IEEE RTAS, April 2012. (Best Paper Award) Teaching Spring 2016 COMP 790 and COMP 590 (Mobile Computing Systems) diff --git a/src/data/compiled_bios/3242.txt b/src/data/compiled_bios/3242.txt new file mode 100644 index 0000000000..10f17bf51b --- /dev/null +++ b/src/data/compiled_bios/3242.txt @@ -0,0 +1 @@ + Junier Oliva is an assistant professor in the Department of Computer Science at the University of North Carolina at Chapel Hill. Currently, he is looking to see what makes data tick and understanding data at an aggregate, holistic level. By using techniques ranging from modern deep learning architectures to nonparametric statistics, he is making strides in areas like high-dimensional density estimation and modeling; sequential modeling and RNNs; and learning over complex or structured data. Prior to completing his Ph.D. in machine learning at Carnegie Mellon University, he also received his B.S. and M.S. in computer science from Carnegie Mellon University. He also spent a year as a software engineer for Yahoo! and a summer as a machine learning intern at Uber ATG. Lupa Lab Website diff --git a/src/data/compiled_bios/3243.txt b/src/data/compiled_bios/3243.txt new file mode 100644 index 0000000000..525878d077 --- /dev/null +++ b/src/data/compiled_bios/3243.txt @@ -0,0 +1 @@ + Stephen M. Pizer received Bachelor degrees in applied mathematics from Brown University in 1963 and the PhD in computer science from Harvard in 1967. From 1962 to 1973 he was a member of the Physics Research Laboratory at Massachusetts General Hospital, and since 1967 he has been on the faculty of the University of North Carolina at Chapel Hill (UNC). A Kenan Professor of Computer Science, Radiation Oncology, Radiology, and Biomedical Engineering at UNC, he founded and has led UNCs multidepartmental Medical Image Display & Analysis Group. He is on the faculty of Computer Sciences Graphics and Image Laboratory and is co-founder and chairman of the board of Morphormics, Inc. His research, centered since 1962 on medical image processing and display, presently focuses on image and object shape analysis, 3D visualization of medical images, probability on shape and appearance models, and segmentation. Other research directions have included interactive 3D graphics, human vision, image quality analysis, contrast enhancement, and image restoration. He is the author of a book on medial representations, 2 books on numerical computing, 3 proceedings in computer graphics and image analysis, and over 290 published chapters and journal and proceedings articles. He is Fellow of the MICCAI Society. For many years he was Associate Editor ofIEEE Transactions on Medical Imaging. diff --git a/src/data/compiled_bios/3244.txt b/src/data/compiled_bios/3244.txt new file mode 100644 index 0000000000..b3bece61f1 --- /dev/null +++ b/src/data/compiled_bios/3244.txt @@ -0,0 +1 @@ + David Plaisted is a professor in the Department of Computer Science at the University of North Carolina at Chapel Hill. He received a bachelors degree in Mathematics from the University of Chicago and a Ph.D. in Computer Science from Stanford University. He served on the faculty of the Computer Science Department at the University of Illinois at Urbana-Champaign until 1984, then joined UNC-Chapel Hill as a full professor. Dr. Plaisteds current interests include theorem proving, term-rewriting systems, and logic and functional programming. He has authored or co-authored numerous publications in a variety of fields of computer science. He has also served on a number of program committees and on the editorial boards of a number of journals, including theJournal of Symbolic Computation, Information Processing Letters, Mathematical Systems Theory,andFundamenta Informaticae.He co-authored the book,The Efficiency of Theorem Proving Strategies: A Comparative and Asymptotic Analysis, with Yunshan Zhu in 1997. He is currently on the editorial board ofACM Transactions on Computational Logicand the electronicJournal of Functional and Logic Programming. Dr. Plaisted spent a sabbatical at SRI in Menlo Park, Calif., in 1982 and 1983 and another at the Max-Planck Institute and the University of Kaiserslautern in Germany in 1993 and 1994. He also spent two months in France in the summer of 1998, visiting groups in Grenoble and Nancy. diff --git a/src/data/compiled_bios/3245.txt b/src/data/compiled_bios/3245.txt new file mode 100644 index 0000000000..6b2a9dff0c --- /dev/null +++ b/src/data/compiled_bios/3245.txt @@ -0,0 +1 @@ + Donald Porters research interests broadly involveimproving efficiency and security of computer systems. Porter earned a Ph.D. and M.S. from The University of Texas at Austin, and a B.A. from Hendrix College. He has received awards including the NSF CAREER Award, Best Paper Awards at USENIX FAST and ACM EuroSys, and the Bert Kay Outstanding Dissertation Award from UT Austin.Porter also served as program co-chair for the 2016 ACM SIGPLAN/ACM SIGOPS International Conference on Virtual Execution Environments (VEE16) and the 2018 ACM International Systems and Storage Conference (SYSTOR 18). diff --git a/src/data/compiled_bios/3246.txt b/src/data/compiled_bios/3246.txt new file mode 100644 index 0000000000..cb439832c0 --- /dev/null +++ b/src/data/compiled_bios/3246.txt @@ -0,0 +1 @@ + Diane Pozefskys work at IBM transformed IBMs networking technology to allow networks to change and adapt more easily. In the early nineties, as corporations moved toward TCP/IP networks, Diane developed the AnyNet technology, which broke the barriers between IBMs proprietary technology (SNA) and TCP/IP, allowing programs designed for one type of network to work on the other and allowing users to build networks that employed either or both technologies. In the late nineties, Diane changed her focus to building networks for the 1998 Nagano Olympics and the IBM Corporation. Throughout her career, Diane was an active author and inventor, publishing more than 25 papers and filing more than 20 patents. She was also active in supporting women in IBM and in the promotion of National Engineers Week. Diane received her A.B. from Brown University and her Ph.D. from the University of North Carolina at Chapel Hill. Her dissertation,Building Efficient Pass-Oriented Attribute Grammar Evaluators,was done under the supervision of Mehdi Jazayeri. Diane lives in Chapel Hill with her husband, Mark; they have one daughter, Lauren, who is an environmental specialist with the federal government. Outside of work, Diane enjoys travel and has visited all seven continents. diff --git a/src/data/compiled_bios/3247.txt b/src/data/compiled_bios/3247.txt new file mode 100644 index 0000000000..737a8dc14d --- /dev/null +++ b/src/data/compiled_bios/3247.txt @@ -0,0 +1 @@ + Jan F. Prins is a Professor in the Department of Computer Science at the University of North Carolina at Chapel Hill. He obtained his B.S. in 1978 in Mathematics from Syracuse University, M.S. in 1983 and Ph.D. in 1987 in Computer Science from Cornell University. His minor concentration was in Neurobiology. In 1976 he co-founded Digital Effects Inc., one of the first computer animation companies. Sample productions include portions of the film TRON. In 1978 he joined STSC, Inc., the leading worldwide APL timesharing services supplier, where he was a member of the APL development and implementation group. At Cornell he worked with Physics Nobel Laureate Kenneth Wilson and David Gries on the Gibbs language for scientific computing. In 1986 he was a research associate at the University of Wisconsin at Madison where he worked on the use of program slicing and merging for software version management. Since 1987, he has been on the computer science faculty at UNC-Chapel Hill, and is also a member of the bioinformatics and computational biology training program and the curriculum in molecular and cellular biophysics. He was a visiting professor at the Institute for Theoretical Computer Science at ETH Zurich, in the area of scientific computing. His research interests center on parallel computing, including algorithm design, computer architecture, and programming languages. His research has been sponsored by DoD (AFOSR, ARO, DARPA, NSA, ONR), DOE, EPA, NIH, and NSF, and by industry (IBM, Microsoft, and various HPC companies). diff --git a/src/data/compiled_bios/3248.txt b/src/data/compiled_bios/3248.txt new file mode 100644 index 0000000000..60ec2e6031 --- /dev/null +++ b/src/data/compiled_bios/3248.txt @@ -0,0 +1 @@ + Michael Reiter is the Lawrence M. Slifkin Distinguished Professor in the Department of Computer Science at the University of North Carolina at Chapel Hill (UNC). He received the B.S. degree in mathematical sciences from UNC in 1989, and the M.S. and Ph.D. degrees in Computer Science from Cornell University in 1991 and 1993, respectively. He joined AT&T Bell Labs in 1993 and became a founding member of AT&T Labs Research when NCR and Lucent Technologies (including Bell Labs) were split away from AT&T in 1996. He then returned to Bell Labs in 1998 as Director of Secure Systems Research. In 2001, he joined Carnegie Mellon University as a Professor of Electrical & Computer Engineering and Computer Science, where he was also the founding Technical Director of CyLab. He joined the faculty at UNC in 2007. Dr. Reiters research interests include all areas of computer and communications security and distributed computing. He regularly publishes and serves on conference organizing committees in these fields, and has served as program chair for the flagship computer security conferences of the IEEE, the ACM, and the Internet Society. He has previously served as Editor-in-Chief of ACM Transactions on Information and System Security and on the editorial boards of IEEE Transactions on Software Engineering, IEEE Transactions on Dependable and Secure Computing, the International Journal of Information Security, and Communications of the ACM. Dr. Reiter was named an ACM Fellow in 2008. diff --git a/src/data/compiled_bios/3249.txt b/src/data/compiled_bios/3249.txt new file mode 100644 index 0000000000..9219e6d991 --- /dev/null +++ b/src/data/compiled_bios/3249.txt @@ -0,0 +1 @@ + Montek Singh is an Associate Professor in Computer Science at theUniversity of North Carolina (UNC) at Chapel Hill. He received thePh.D. degree in computer science from Columbia University in 2002, and the B.Tech. degree in electrical engineering from IIT Delhi, India, in1993. His general research interest is in the area of high-performance andenergy-efficient digital systems. He is particularly interested inthe design of asynchronous or clockless and mixed-timing integrated chips, including circuit design, and CAD tools for automatedsynthesis, analysis and optimization techniques. His interests alsoinclude applications to energy-efficient mobile graphics hardware; applications to the design of secure chips and to computer security;and design challenges of emerging computing technologies. In 2005, he was brought onto the DARPA CLASS Program (led by Boeing),to develop, in collaboration with Philips/Handshake Solutions, anindustrial-strength automated synthesis ow for designing high-speedasynchronous systems. His work has been transferred to industry,including IBM, Boeing, and Handshake Solutions (a Philips subsidiary). He received the Best Paper Award at the 2000 IEEE ASYNC Symposium,Best Paper Finalist Nominations at ASYNC 2002 and ASYNC 2008, and anIBM Faculty Award in 2004. He is/was Program Committee Co-Chair forASYNC 2007 and ASYNC 2012, and General Chair for ASYNC 2009. He is aco-Guest Editor of upcoming special issues (fall 2011) on asynchronousdesign of IEEE Design & Test of Computers, and ACM Journal on EmergingTechnologies of Computing Systems (JETC). diff --git a/src/data/compiled_bios/325.txt b/src/data/compiled_bios/325.txt new file mode 100644 index 0000000000..8edb93ce2b --- /dev/null +++ b/src/data/compiled_bios/325.txt @@ -0,0 +1 @@ +Name: Brandenburg, Jonathan:: Position: Senior Lecturer:: Degrees: Masters Certificate in Information Technology Management, George Washington University; M.S. Computer Science, TheUniversity of Texas at Dallas; M.S. Space Studies, University of North Dakota; B.S. Computer Science, Oklahoma State University; Research Interests: Software-Defined Radio; Radiation Tolerant Communication Systems; Small Unmanned Aerial Systems; Certifications and Credentials: AARL/FCC, Volunteer Examiner; FAA, Advanced Ground Instructor; Project Management Professional, Project Management Institute; diff --git a/src/data/compiled_bios/3250.txt b/src/data/compiled_bios/3250.txt new file mode 100644 index 0000000000..d90386273e --- /dev/null +++ b/src/data/compiled_bios/3250.txt @@ -0,0 +1 @@ + F. Donelson (Don) Smith is a research professor in the Department of Computer Science at the University of North Carolina at Chapel Hill. He received a B.S. in Chemistry in 1962, an M.S. in Industrial Management in 1964, both from the University of Tennessee at Knoxville, and a Ph.D. in Computer Science from UNC-Chapel Hill in 1978. He worked as a scientific programmer at the atomic energy laboratories in Oak Ridge, Tenn., from 1963 to 1965, prior to joining IBM. At IBM, from 1965 until his retirement in 1997, Dr. Smith held a number of technical and management positions, most of them in networking product development at Research Triangle Park, N.C. He has broad experience in a number of areas at IBM including computer architecture (IBM 8100 system), network architecture (Systems Network ArchitectureSNA), programming languages and compilers (Format and Protocol LanguageFAPL), multimedia networking (Person-to-Person), and network performance measurements. From 1983 to 1986, he was assigned to Carnegie Mellon University where he was assistant director of the Information Technology Center and a principal in the Andrew Project, responsible for developments in networking and user interface toolkits. While at IBM he also held visiting and adjunct faculty appointments in computer science at UNC-Chapel Hill. He became a research professor in the department in 1997. Dr. Smiths research interests are in networking, multimedia, distributed systems, and operating systems. diff --git a/src/data/compiled_bios/3251.txt b/src/data/compiled_bios/3251.txt new file mode 100644 index 0000000000..440df9eb7f --- /dev/null +++ b/src/data/compiled_bios/3251.txt @@ -0,0 +1 @@ + Prof. Jack Snoeyink (Ph.D. Stanford, 1990) works on computational geometry, which is a branch of the theory of computer science that designs and analyzes algorithms and data structures for problems best stated in geometry form. His main application areas are in terrain modeling in geographic information systems, molecular structure validation and improvement in biochemistry, as well as computational topology, computer graphics, and information visualization. He participated as a PI in GEO*, the first program Darpa organized with NGA (National Geospatial-Intelligence Agency, formerly NIMA, DMA.) diff --git a/src/data/compiled_bios/3252.txt b/src/data/compiled_bios/3252.txt new file mode 100644 index 0000000000..21ab5be3cf --- /dev/null +++ b/src/data/compiled_bios/3252.txt @@ -0,0 +1 @@ + David Stotts is a professor in the Department of Computer Science at the University of North Carolina at Chapel Hill and currently is serving as associate chair for Academic Affairs. He earned a B.S. in Mathematics and Physics from the University of Richmond in 1979, then an M.S. in 1981 and Ph.D. in 1985 in Computer Science from the University of Virginia. From 1985 to 1991, Dr. Stotts was a faculty member in the Department of Computer Science at the University of Maryland at College Park. While there he also held an affiliate scientist position at CESDIS (NASA Goddard Space Flight Center) and a consulting scientist position with the National Institute of Standards and Technology in Gaithersburg. After leaving Maryland, Dr. Stotts spent a year with the Software Engineering Research Center in the Computer and Information Sciences Department at the University of Florida, and then joined the UNC-Chapel Hill faculty in the fall of 1992. Dr. Stottss research interests include formal methods in software engineering, concurrent computation models, hypermedia, and collaborative distributed systems. From 1990 through 1995, Dr. Stotts served as an ACM distinguished lecturer. He served as general chair for the 1996 ACM Hypertext Conference, and is on the editorial boards of theJournal of Digital InformationandWorld Wide Web. diff --git a/src/data/compiled_bios/3253.txt b/src/data/compiled_bios/3253.txt new file mode 100644 index 0000000000..f2cc766c4f --- /dev/null +++ b/src/data/compiled_bios/3253.txt @@ -0,0 +1 @@ + Martin Styner is a research associate professor in the Department of Computer Science with a joint appointment as an assistant professor in the Department of Psychiatry at the University of North Carolina at Chapel Hill (UNC). He is the co-director of the UNC Neuro Image Research and Analysis Laboratory and associate director of the Developmental Neuroimaging Core in the Carolina Institute for Developmental Disabilities at UNC. Dr. Styner began his research in the field of medical image analysis in 1994 as a graduate student at the Swiss Federal Institute of Technology ETH Zurich, Switzerland. He received his Masters in 1997 from ETH Zurich and subsequently his Ph.D. in 2001 from UNC. From 2001-2002, Dr. Styner held the position of project leader at the Duke Image Analysis Laboratory in Durham, N.C. In 2002, he founded a thriving research group in Medical Image Analysis and headed it for two years at the M.E. Mller Research Center, University of Bern, Switzerland. In 2004, Dr. Styner joined the faculty at the University of North. He has participated in leading positions in several national and international projects with close interdisciplinary cooperation with researchers in the fields of medicine, engineering, industry and computer science. He is further the UNC PI of the National Alliance for Medical Image Computing which is part NIH Roadmap Initiative. His main field of research is in medical image processing and analysis. He has an extensive background in anatomical structure and tissue segmentation, morphometry using shape analysis, modeling and atlas building, diffusion tensor image analysis as well as intra and inter-modality registration. His current research focuses on structural and connectivity based brain analysis within the developing brain in humans, primates and rodents. Martin Styner has co-authored over 60 papers in peer reviewed journals and over 80 papers in peer reviewed conferences. He is on the editorial board of Medical Image Analysis, the premier journal in the field of medical image analysis. diff --git a/src/data/compiled_bios/3254.txt b/src/data/compiled_bios/3254.txt new file mode 100644 index 0000000000..f740e26637 --- /dev/null +++ b/src/data/compiled_bios/3254.txt @@ -0,0 +1 @@ + Jeff was born in Amarillo, Texas, and still goes back to see family on occasion. He grew up in Texas and Arkansas, with a couple of years in Colorado in between. He was home schooled for four years, then attended the Arkansas School for Math and Science in 11th and 12th grade before going on to get a degree in computer engineering at the University of Arkansas, summa cum laude. He came to North Carolina and UNC in 2004 for grad school in the Computer Science Department, where he earned his Ph.D. (advised by Kevin Jeffay) in 2009. Although he had every intention of becoming a professor, it didnt quite work out: although he got a verbal offer, the offering university later had to rescind it because of the economic recession. Instead, he made the first of several pivots and tried to commercialize his Ph.D. research, which involved measuring the performance of computer servers across campus and looking for anomalies. He joined his good friend Sir Robert Burbridge to found Altometrics, which focused on data analytics and visualization. Despite several successes, the startup didnt work out quite like he hoped. In 2016, he got a job as a software craftsman at the nearby custom software shop RoleModel Software. In 2018, he came back to the computer science department at UNC and became a Professor of the Practice, where he runs the App Lab to teach students how to build web and mobile applications through hands-on experience building software for the UNC community. Jeff lives on a humble homestead of a few acres north of Durham, NC with his wife, three children, loyal mutt, two goats, and a variable number of chickens. diff --git a/src/data/compiled_bios/3255.txt b/src/data/compiled_bios/3255.txt new file mode 100644 index 0000000000..b0040b77c5 --- /dev/null +++ b/src/data/compiled_bios/3255.txt @@ -0,0 +1 @@ + Mary C. Whitton is a research associate professor of computer science at the University of North Carolina at Chapel Hill. With Fred Brooks co-leads the Effective Virtual Environments research group that investigates what makes virtual environment systems effective and develops techniques to make them more effective for applications such as simulation, training, and rehabilitation. Prof. Whitton is also a Senior Project Manager at the Renaissance Computing Institute (RENCI). Before joining UNC in 1994, she was co-founder of two companies that produced high-end hardware for graphics, imaging, and visualization. Prof. Whitton has held leadership roles in ACM SIGGRAPH including serving as President 1993-1995. She is a member of ACM, ACM SIGGRAPH, and a senior member of IEEE. diff --git a/src/data/compiled_bios/3256.txt b/src/data/compiled_bios/3256.txt new file mode 100644 index 0000000000..a7d1558718 --- /dev/null +++ b/src/data/compiled_bios/3256.txt @@ -0,0 +1 @@ + Home Projects Publications Students Teaching Service Arindam Banerjee Professor McKnight Land-Grant Professor (2009-11) Department of Computer Science and Engineering Resident Fellow, Institute on the Environment University of Minnesota, Twin Cities CV Research My research interests are in Machine Learning, Data Mining, Information Theory, Convex Analysis and Optimization, and their applications in complex real world learning problems including problems in Text and Web Mining, Climate Sciences, Ecology, Finance, Social Networks, and Bioinformatics. Here is a list of my Publications . CI 2016 International Workshop on Climate Informatics . NIPS 2014 Tutorial on Climate Change: Challenges for Machine Learning : Slides and Video . KDD 2014 Workshop on Data Science for Social Good . IMA 2012 Workshop on Machine Learning: Theory and Computation . ICML 2011 Workshop on Machine Learning for Global Challenges . CIDU 2011 Tutorial on Introduction to Machine Learning . KDD 2010 Tutorial on Introduction to Graphical Models for Data Mining : Slides and Video . Contact Email: my last name at cs dot umn.edu Phone: (612) 625-0041 (office), (612) 625-0572 (fax) Address: 4-192 Keller Hall, 200 Union Street SE, Minneapolis, MN 55455 Office: 6-213 Keller Hall diff --git a/src/data/compiled_bios/3257.txt b/src/data/compiled_bios/3257.txt new file mode 100644 index 0000000000..ff7374e6b6 --- /dev/null +++ b/src/data/compiled_bios/3257.txt @@ -0,0 +1 @@ +Daniel Boley Professor interests: Numerical Linear Algebra, Data Mining, Control Theory, Fault Tolerance. email: lastname _at_ cs.um n.edu office: EE/CSci 6-209 address: 4-192 EE/CSci, 200 Union St SE, Minneapolis, MN 55455 phone: (612) 625-3887 fax: (612) 625-0572 Director of Graduate Studies for Master of Science in Data Science (a new degree program). Research Interests Computational methods in linear algebra, scalable data mining algorithms, algebraic models in systems and evolutionary biology, biochemical metabolic networks. Current projects include scalable computation and analysis of elementary pathways through metabolic networks of single-cell organisms, Markov model of evolution of the avian influenza virus, scalable data mining algorithms for corpora of short text fragments. Teaching (Access to some items below may be limited to UMN on-campus hosts) CSci 5302 - Spring 2019 - Analysis of Numerical Algorithms. CSci 5521 - Fall 2018 - Introduction to Machine Learning CSci 5302 - Spring 2018 - Analysis of Numerical Algorithms. CSci 8363 - Fall 2017 - Linear Algebra in Data Exploration CSci 5302 - Spring 2017 - Analysis of Numerical Algorithms. CSci 5302 - Spring 2016 - Analysis of Numerical Algorithms. CSci 8363 - Fall 2015 - Linear Algebra in Data Exploration (topics: data reduction, data mining, graph theory, [sparse] optimization, . . ., click for details) CSci 5304 - Fall 2014 - Computational Aspects of Matrix Theory. CSci 5302 - Spring 2014 - Analysis of Numerical Algorithms. CSci 5521 - Spring 2014 - Introduction to Machine Learning (used to be offered under the name Pattern Recognition). CSci 2033 - Fall 2013 - Elementary Computational Linear Algebra. CSci 5302 - Spring 2013 - Analysis of Numerical Algorithms. CSci 8363 - Fall 2012 - Linear Algebra in Data Exploration (topics: data reduction, data mining, graph theory, [sparse] optimization, . . ., click for details) CSci 5302 - Spring 2012 - Analysis of Numerical Algorithms. CSci 2033 - Fall 2011 - Elementary Computational Linear Algebra. CSci 5521 - Fall 2011 - Pattern Recognition. CSci 5302 - Spring 2010 - Analysis of Numerical Algorithms. Recent Research and Publications List of Publications. Software used to generate the above list directly from a bibtex file. Daniel Boley . Optimization in Machine Learning (Slides of opening talk given 4/08/2016 in the Symposium on Mathematics and Big Data at the Delft University of Technology). Optimization in Machine Learning (Slides of talk given 2/11/2015 at the Hong Kong Baptist University). Principal Direction Divisive Partitioning Project General Information. Selected Active Research Projects. PDDPdata : Data used in papers on PDDP and WebACE in 1998-1999. Software Clustering Software: Software (Matlab Source, Version 2d, updated as of 28 May 2008, distributed as a ZIP file) Slides for talk on Principal Direction Partitioning in Data Mining, given at Stanford, February, 2000. Sample PDDP Tree generated from Gene Expression Data (now with clickable map). Similar PDDP Tree obtained after pruning the list of genes (now with clickable map). Graphics Software for Introductory Courses: gdraw.stk , Scheme Graphics: a simple interface to the TK graphics toolbox (canvas objects) for STK. (updated 11/26/05) testgdraw.stk , Simple Example Driver bounce.stk , Simple Bouncing Ball & Paddle Game Demo. gdraw.py , Python 2 Graphics: a simple interface to the TK graphics toolbox (canvas objects) for python 2. (updated 08/25/14) testgdraw.py , Simple Example Driver bounce.py , Simple Bouncing Ball & Paddle Game Demo. gdraw3.py , Python 3 Graphics: a simple interface to the TK graphics toolbox (canvas objects) for python 3. (updated 08/25/14) testgdraw3.py , Simple Example Driver bounce3.py , Simple Bouncing Ball & Paddle Game Demo. gdraw.pl , Perl Graphics: a beta version of the same simple Tk interface in Perl. (updated 01/07/08) gdraw.pm , Perl Graphics as a Module (needs gdraw.pl ). testgdraw.pl , Simple Example Driver bounce.pl , Simple Bouncing Ball & Paddle Game Demo. Miscellaneous Ghostscript Fontmap to embed fonts into PDF documents from latex and other sources, including some automatic font substitutions (e.g. Times-Roman -> Times-New-Roman). scm-stuff A very random collection of linear algebra and numerical tools written in scheme (distributed as a ZIP file). My FTP Site Go back to CSci Department Home Page diff --git a/src/data/compiled_bios/3258.txt b/src/data/compiled_bios/3258.txt new file mode 100644 index 0000000000..4a6f784497 --- /dev/null +++ b/src/data/compiled_bios/3258.txt @@ -0,0 +1 @@ + Abhishek Chandra Home Research Publications Teaching Service I am a Professor in the Department of Computer Science and Engineering at the University of Minnesota, Twin Cities . My research interests are in the areas of Operating Systems and Distributed Systems. I co-lead the Distributed Computing Systems Group in the department. My research has focused on resource management and performance in distributed systems, such as Clouds, Data centers, Grids, and Mobile platforms, with the goal of achieving higher reliability, scalability, and manageability. Much of my focus in recent years has been on designing and optimizing systems for data-driven computing: geo-distributed data analytics, social analytics, interactions of mobile computing (and now IoT) with the cloud, and data analytics in the cloud. Currently, I am working on a number of projects related to these systems, involving issues in data-intensive computing, mobile-cloud interactions, and social computing. I recently served as the Program Co-chair for IEEE IC2E 2018 and ACM HPDC 2018 conferences. I was also the TPC Vice Co-chair for the Edge Computing Track for IEEE ICDCS 2018 . Contact Office: Rm 4-209, Keller Hall Ph: (612) 626-1283 Fax: (612) 625-0572 Email: chandra AT umn DOT edu Note: Email is the best way to contact me as I check it frequently. Mailing Address: Department of Computer Science and Engineering University of Minnesota 4-192 Keller Hall, 200 Union St. SE Minneapolis, MN 55455 News October, 2018: Our paper on multi-query optimization in wide-area stream processing presented at SOCC'18. October, 2018: Our posters on deep learning and streaming analytics in geo-distributed environments presented at SOCC'18 and OSDI'18 respectively. July, 2018: Our paper on adaptability in wide-area stream processing presented at HotCloud'18. June, 2018: Source code for TensorFlow-based decentralized distributed deep learning framework released. March, 2018: Recent alum Benjamin Heintz (Ph.D. 2016) was honored as a runner-up for SPECs 2017 Kaivalya Dixit Distinguished Dissertation Award . Congrats, Ben! December, 2017: Our paper on Locality-Aware Load Sharing in Mobile Cloud Computing presented at UCC 2017. September, 2017: The source code for Wiera, our geo-distributed storage system, is released. August, 2017: Prof. Chandra is PI on a new collaborative NSF grant on dispersed real-time data analytics. Thanks, NSF! August, 2017: Our paper on optimizing timeliness and cost in geo-distributed streaming analytics accepted for publication in IEEE TCC. June, 2017: Our paper on Nebula Distributed Edge Cloud accepted for publication in IEEE TPDS. June, 2017: The source code for MESH, our distributed hypergraph analysis system, is released. May, 2017: Our paper on TripS geo-distributed data placement framework presented at SYSTOR 2017. April, 2017: Our poster on IoT/edge computing framework presented at IoTDI 2017. January, 2017: Abhishek Chandra joins the Editorial Board for IEEE Transactions on Cloud Computing (TCC). December, 2016: PhD student Benjamin Heintz passes his PhD thesis defense . Congrats, Ben! Oct 2016: We received a new NSF grant for a project on building systems for geo-centric applications. Thanks, NSF! July 2016: Our paper on timeliness-accuracy tradeoff in geo-distributed streaming analytics accepted in ACM SOCC'16. July 2016: Our paper on geo-distributed MapReduce optimization appears in IEEE TCC. May 2016: PhD student Benjamin Heintz wins the UMN Doctoral Dissertation Fellowship . More news... diff --git a/src/data/compiled_bios/3259.txt b/src/data/compiled_bios/3259.txt new file mode 100644 index 0000000000..8e471bd0ea --- /dev/null +++ b/src/data/compiled_bios/3259.txt @@ -0,0 +1 @@ + Home Grants Awarded Publications Students Awards and Honors Professional activites David Hung-Chang Du Professor Qwest Chair Professor Department of Computer Science and Engineering University of Minnesota, Twin Cities C.V. Bio Dr. Du is currently the Qwest Chair Professor of Computer Science and Engineering at University of Minnesota, Minneapolis. He is the Center Director of the NSF multi-university I/UCRC Center of Research in Intelligent Storage (CRIS) . In additional to NSF, CRIS is currently sponsored with 9 companies with 15 sponsored memberships including Intel, IBM, HPE, Dell/EMC, Seagate, Veritas, Samsung, Huawei and Salesforce. He was a Program Director (IPA) at National Science Foundation CISE/CNS Division from March 2006 to August 2008. At NSF, he was responsible for NeTS (Networking Research cluster) NOSS (Networks of Sensor Systems) Program and worked with two other colleagues, Karl Levitt and Ralph Wachter, on Cyber Trust (Internet Security) Program. Dr. Du receives a B.S degree in Mathematics from National Tsing-Hua University (Taiwan) in 1974 and an M.S. and Ph.D. degrees from University of Washington (Seattle) in 1980 and 1981 respectively. He joined University of Minnesota as a faculty since 1981. Dr. Du also has been a visiting professor in Germany, Korea, Singapore, Hong Kong and Taiwan. Research Expertise Dus current research focuses on intelligent storage systems, sensor/vehicular networks and cyber physical systems. He has had research in high-speed networking, database design, multimedia computing and CAD for VLSI circuits. He has authored and co-authored over 300 technical papers including 140 referred journal publications in these research areas. He has graduated 60 Ph.D. and 100+ M.S. students in the last 30 years. His research in intelligent storage systems focus on new storage technologies/architectures, that can handle semantic data and adaptive to long-term data preservation, and efficient power management for data centers. His research in sensor/vehicular networks and cyber physical systems focuses on vehicle-to-vehicle communications, future intelligent transportation systems, next generation air-transportation systems and security and privacy issues for cyber physical systems. His group is currently focusing on research issues on hyperconverging (seamless integrating compute, storage and network in a single IT infrastructure and using AI and machine learning approaches of solving challenging systems management issues. Contact Email: du at umn.edu Phone: (612) 625-2560 Address: 4-192 Keller Hall, 200 Union Street SE, Minneapolis, MN 55455 Office: Keller 4-225B & 421 Walter diff --git a/src/data/compiled_bios/326.txt b/src/data/compiled_bios/326.txt new file mode 100644 index 0000000000..0787167716 --- /dev/null +++ b/src/data/compiled_bios/326.txt @@ -0,0 +1 @@ +Name: Cankaya, Ebru:: Position: Senior Lecturer:: Degrees: Ph.D., Ege University International Computer Institue; M.B.A., The University of Texas at Dallas; M.Sc., Ege University Department of Computer Science; Research Interests: Computer security; Data security; Lossless compression; Cryptology; Major Honors and Awards: ; Faculty of the Month Campus Winner Award, The National Association of College and University Residence Halls, University of Texas at Dallas, January 2013; ; ; Thank a Teacher Award, University of North Texas Department of Computer Science, Fall 2011; ; RepresentativePublications: ; CANKAYA CELIKEL Ebru, The Effect of Changing Programming Language to Student Success in Undergraduate Computer Science Curriculum, International Conference on Frontiers in Education: Computer Science and Computer Engineering, Las Vegas, NV, 21-24 July, 2014.; ; ; CANKAYA CELIKEL Ebru, DARWISH Omar, Improving Compression Performance with a Star Encoding Front End: A Linguistic Comparison, International Conference on Foundations of Computer Science, Las Vegas, NV, 22-25 July, 2013.; ; ; CHARTREE Jedsada, CANKAYA CELIKEL Ebru, PHITHAKKITNUKOON Santi, Query Expansion Using Association Matrix For Improved Information Retrieval Performance, International Conference on Information and Knowledge Engineering, Las Vegas, NV, 22-25 July, 2013.; ; ; ISRAELSON Jennifer, CANKAYA CELIKEL Ebru, A Hybrid Web Based Personal Health Record System Shielded with Comprehensive Security, Hawaii Intl Conf. on System Sciences, Maui, HI, 4-7 January, 2012.; ; ; CANKAYA CELIKEL Ebru, NAIR Suku, CANKAYA Hakki C., Applying Error Correction Codes to Achieve Security and Dependability, Journal of Computers Standards and Interfaces, July 2012.; ; diff --git a/src/data/compiled_bios/3260.txt b/src/data/compiled_bios/3260.txt new file mode 100644 index 0000000000..d0a9bb914e --- /dev/null +++ b/src/data/compiled_bios/3260.txt @@ -0,0 +1 @@ + Favonia I am an assistant professor at the University of Minnesota , and I am hiring students and postdocs ! My research interests lie in achieving a high level of rigor in computer programs and mathematical proofs. In particular, I have been working on proof mechanization, type theory, compiler correctness and property-based testing. [ CV ] [ papers ] [ talks ] [ artifacts ] [ thesis ] Contact Email: favonia@umn.edu ORCID ID: 0000-0002-2310-3673 arXiv: houfavonia_k_1 GitHub: favonia How to Cite My Name in Your LaTeX Papers I found Kuen-Bang {Hou (Favonia)} works best in LaTeX, BibTeX and Biber. Research Mechanized Reasoning in Mathematics I believe the primary reason why most mathematicians remain unfamiliar with mechanical verification is the fear of length and complexity of mechanized proofs, and this can be addressed by a good abstraction language such as type theory, which should match conventional mathematics while fulfilling the need of mechanical checking. I have been collaborating with others to mechanize theorems in homotopy theory (see my papers and our Agda code ) through a new type theory homotopy type theory . This new type theory came from a surprising connection between dependent type theory and homotopy theory; it reveals higher-dimensional structures in dependent type theories that naturally represent the higher-dimensional structures in homotopy theory. To see how the new type theory addresses mathematicians concerns, our mechanized proofs do not seem longer or more complicated than the proofs in standard textbooks; moreover, the system is friendly enough that some of us even start proving theorems directly in computers. There were cases where a traditionally trained mathematician learned to read our mechanized proofs in a short time . Our results even inspired new development in mathematics : we not only verified known results but also provided new insights. Cubical Computational Type Theory Another thread of my research is to extend other type theories with higher-dimensional structures inspired by homotopy type theory. My current target is computational type theory , exemplified by the well-known proof assistant Nuprl , where types classify programs by their computational behaviors. It had remained open whether one can extend its semantics with higher-dimensional features, and our work answered this question positively by treating each program as an n-dimensional cube . Programs in ordinary type theory may be regarded as homogeneous cubes, and new features enable the construction of heterogeneous ones. We showed these cubical structures are sufficient to justify key features of homotopy type theory. Based on the theory, we are also building proof assistants RedPRL and redtt . Our type theory and tool not only addressed the long-standing open problem about the computational content of homotopy type theory, but also provided much stronger reasoning principles for equality than those in homotopy type theory or other variants. Moreover, it paved the way for integrating features from other programming languages such as exceptions or non-termination, going beyond the realm of verifying mathematical proofs. Research already suggested that homotopy type theory is useful for program reasoning, and ours should make an even stronger case after integrating common programming features. Other Random Stuff Stay tuned! Archived Research Projects See archived research projects . Name My names in everyday life are the sequences f - a - v - o - n - i - a and - . My governmental name is Kuen-Bang Hou (transliteration of the Mandarin name ). I go by Kuen-Bang Hou (Favonia) in academics. The meaning of my everyday names is west wind. You are welcome to pronounce them in any reasonable language, dialect or accent. You can also transliterate them into any reasonable writing system. Please share with me your pronunciation and/or transcription! In the United States English and British English it might be written as Favonia and the first syllable might reduce to a schwa. (cf. favonian .) It is difficult to collect data because everyone who knows me just copies my pronunciation in English now. In Ti-bn it might be written as , Se-hong , Sai-hong , or and be pronounced as Se-hong or Sai-hong . In Bokml it might be written as Favonia , and in Norsk a possible pronunciation among so many dialects delivers the second vowel as the close back rounded vowel . In Japanese it might be written as , or and can be pronounced in many ways, including (seifuu) , (seikaze) (rare), (nishikaze) , (fabnia) and (favnia) . In Mandarin it might be written as or and be pronounced as or Xfng . See also: Word of the Day of Merriam-Webster on 2015/12/27 [ podcast ] Word of the Day of Diction.com on 2007/01/03 [ web page ] Pronoun I go by singular they but people often choose he because of my perceived gender. Knuths Check I am aware that Knuth wanted to send me a check , but I was not unable to reach them (Knuth or Knuths secretary) through emails. This page was made with GitHub-like CSS (licensed under MIT and modified by me). diff --git a/src/data/compiled_bios/3261.txt b/src/data/compiled_bios/3261.txt new file mode 100644 index 0000000000..fbd46648e8 --- /dev/null +++ b/src/data/compiled_bios/3261.txt @@ -0,0 +1 @@ + Maria Gini Professor Areas of interest: Artificial Intelligence, Robotics, Intelligent Agents. Mailing Address: 4-192 Keller Hall, 200 Union St SE, Minneapolis, MN 55455 Email: gini at umn dot edu Office: Keller Hall 4-225 C phone: (612) 625-5582, fax: (612) 625-0572 Bots talk Shortcuts: Research | Teaching | AI Programming Other Links: Researchgate | Gogle Scholar | AIRVL | CS Women Page | Dept Page Honors and Awards NCWIT Harrold and Notkin Award Research and Graduate Mentoring Award , 2018. IEEE Fellow , 2018. 2016 Distinguished Service Award from the Association for the Advancement of Artificial Intelligence (AAAI) "for her outstanding contributions to the field of artificial intelligence through sustained service leading AI societies, journals, and conferences; mentoring colleagues; and working to increase participation of women in AI and computing," 2016. Outstanding Contributions to Post-Baccalaureate, Graduate and Professional Education Award, University of Minnesota, 2016. Listed in 25 women in robotics you need to know about (2014) . Mullen-Spector-Truax Women's Leadership Award, University of Minnesota, 2011. KNAW Visiting Professorship, Delft University of Technology, Sept-Dec 2010. AAAI Fellow , 2008. College of Science and Engineering Distinguished Professor, 2008-. Ada Comstock Distinguished Women Scholars Lecture, University of Minnesota, 2008. ACM Distinguished Scientist , 2006. Winner of Inaugural Distinguished Woman Scholar Award , University of Minnesota, 2001. Member of the Academy of Distinguished Teachers , University of Minnesota, 1998-. Distinguished Teaching Award, Continuing Education and Extension, 1995. Morse-Alumni Distinguished Teaching Professor of Computer Science, University of Minnesota, 1987-. Research Note: material presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights in the papers are retained by authors and by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder. List of Publications .. never complete... Current Projects Distributed Robotics TAC-SCM: Autonomous Agents for Supply-Chain Management MinERS: Minnesota Emergency Response Squad Learning Robot Programming through Playing Computer Games Past Projects MinDART (Minnesota Distributed Autonomous Robotics Team) MAGNET: Intelligent Agents for Electronic Commerce Robot Motion Planning Planning with Missing Information Robot Learning Logical Sensors/Actuators Navigation with Moving Obstacles Agents for the Web Extending the Next Generation Robot Laboratory to Increase Diversity in Undergraduate CS Programs Poker group OUTOBOX: Machine Learning Reading Group Medlang: Medical Language Study Group Conferences, journals, and other activities Organizer of the Summer Computing Academy for female high-school students. June 10 to June 21, 2019 and June 24 to June 28, 2019. Organizer of a CRA-W/CDC Discipline Specific Workshop on Diversity in AI at AAAI 2017, Sunday February 5, 2017, San Francisco. Organizer of MinneWIC , the ACM-W Celebration of Women in Computing in the Upper MidWest. The next celebration will be February 16-17, 2019 in Duluth. Member of the Board of the Computer Research Association's Committee on the Status of Women in Computing Research (CRA-W) , 2007-. Co-Director of DREU: Distributed Research Experiences for Undergraduates. President of International Foundation on Autonomous Agents and Multi-Agent Systems (IFAAMAS) , 2015-2017. Member of the Board of Directors, 2006-2012, 2014-2020. Editor in Chief, Robotics and Autonomous Systems , 2016-.; Associate Editor 2011-2016. Editorial Board, Artificial Intelligence , 2013-. Associate Editor, Autonomous Agents and Multi-Agent Systems , 2007-. Editorial Board, Integrated Computer-Aided Engineering , 1997-. Associate Editor for the IEEE RAS Conference Editorial Board, 2006- General Chair, IJCAI, 2021. Recent Past Activities Organizer of MinneWIC, the regional celebration of Women in Computing in the Upper MidWest. Previous celebrations: February 12-13, 2010, http://minnewic-2010.cs.umn.edu/ February 24-25, 2012, http://minnewic-2012.cs.umn.edu/ February 20-21, 2015, http://minnewic-2015.cs.umn.edu/ February 17-18, 2017, MinneWIC 2017 . Organizer of the Summer Computing Academy . Female high-school students, June 12-33, 2017 and June 12-16, 2017 . Female high-school students, June 13-24, 2016 . male students from underrepresented minorities . August 1-5, 2016. Female high-school students, June 15-26, 2015 . Organizer of a CRA-W/CDC Discipline Specific Workshop at IJCAI-2016 , July 9 to 15, 2016 in New York City. Co-organizer of Women in AI workshop at IJCAI 2015, July 25-31, Buenos Aires, Argentina. Co-organizer of CRA-W/CDC Broadening Participation in AI at AAAI-14: Twenty-Eighth Conference on Artificial Intelligence July 27-31 2014, Quebec City, Quebec, Canada General co-chair and local chair of AAMAS 2013 , the largest conference on agents and multiagent systems, Saint Paul, May 6-10, 2013. Organizer in 2012 of NSF funded extended research visits of graduate students from the US to Europe to work with a research group in Cognitive Systems and Robotics. Chair of ACM Special Interest Group on Artificial Intelligence , 2003-2010. SIGART has been renamed SIGAI, to be consistent with the use of the term AI. Visit SIGAI for information on activities, conferences, and opportunities. Member of the American Association for Artificial Intelligence (AAAI) Executive Council (2005-2008). Editorial Board, Web Intelligence and Agent Systems (WIAS), 2005-2015. Associate Editor, Electronic Commerce and Research Applications , 2006-2009. Co-Program Chair, Int'l Conf. on Intelligent Robots and Systems (IROS), 2017. General Co-Chair and Local Organizer, Autonomous Agents and Multi-Agent Systems (AAMAS), St. Paul, MN, 2013. Co-chair, Nectar Track, National Conference on Artificial Intelligence (AAAI), 2010. Co-Chair of the 9th International Conference on Electronic Commerce , Minneapolis, MN, August 19-22, 2007. Chair of the 8th International Symposium on Distributed Autonomous Robotic Systems (DARS) , Minneapolis, MN, July 12-14, 2006. General Co-Chair for the First International Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS 2002) , July 15-19, 2002, Bologna, Italy. General Chair for the 7th Int'l Conf on Intelligent Autonomous Systems (IAS-7) , March 25-27, 2002, Marina del Rey, CA. Teaching Spring 2018 CSci 4511W: Introduction to Artificial Intelligence , Spring 2018 Past Courses: CSci 2041 - Advanced Programming Principles Spring 2016. CSci 8551 - Intelligent Agents , Fall 2015 CSci 5511 - Artificial Intelligence I , Fall 2015 IofT 1910w -- Robot Pets - Fall 2006, a freshman seminar using the Sony dogs AIBO. CSci 1901 - Structure of Computer Programming I - Spring 2007 Watch a video of the 2006 lab using the AIBO dogs or go to YouTube to see the videos of the some type of lab done in 2007. The lab was done in Scheme. Remember, you can do whatever you want in Scheme, even get a dog to dance! [Work partially supported by NSF under grant DUE-CCLI-0511304 and by the Bush Foundation program at the University of Minnesota to improve learning in large classes.] For more information on the NSF project and the partner universities go to http://faculty.berea.edu/pearcej/aibo/ Video Project Course - Spring 2009 CSci 5980, sec 4 - Legged Robots - Spring 2005 LS 5100, Sec 15 - Computational Aspects of Intelligence - 2 credits, 7 weeks - Spring 2002. AI Programming Information Scheme Lisp Python Prolog Myro for ECEPS students Look at http://wiki.roboteducation.org/Myro for the reference manual on Myro. Visit this page for examples of programs written for myro. Copyright: 2000-2012 by the Regents of the University of Minnesota Department of Computer Science and Engineering . All rights reserved. Comments to: Maria Gini Last updated 02/09/2019 10:14:46 diff --git a/src/data/compiled_bios/3262.txt b/src/data/compiled_bios/3262.txt new file mode 100644 index 0000000000..924adbe97a --- /dev/null +++ b/src/data/compiled_bios/3262.txt @@ -0,0 +1 @@ + Stephen J. Guy: Research interests - Graphics, Animation, AI, Robotics sjguy@cs.umn.edu Director Applied Motion Lab http://motion.cs.umn.edu Address: 4-192 Keller Hall 200 Union St SE Minneapolis, MN 55455 Office Keller 5-225F Phone: (612) 625-3368 NEWS: Our work modeling smiles was featured in a joke on Late Night with Seth Meyers . NEWS: Our recent work in modeling human faces has been covered by The Guardian , Popular Science , Science , and others. NEWS: Our work in pedestrian modeling has been published in Physical Review Letters (PRL) and has received wide press coverage including: Physics , Nature News , Science News , and The Boston Globe . NEWS: Videos from our recent work in pedestrian modeling are being featured in the American Physical Society's annual video gallery . Research Overview [PPTX] Video highlights: 2014 [MP4] [M4V] , 2013 [YouTube] [WMV] [MPG] , 2012 [MOV] Selected Publications: Implicit Crowds: Optimization Integrator for Robust Crowd Simulation , I. Karamouzas, N. Sohre, R. Narain, S. J. Guy, Siggraph 2017. [ WEB ] C-OPT: Coverage-Aware Trajectory Optimization Under Uncertainty , B. Davis, I. Karamouzas, S. J. Guy, Robotics and Automation Letters (RA-L) 2016. [ PDF ] Universal Power Law Governing Pedestrian Interaction , I. Karamouzas, B. Skinner, S. J. Guy, Physical Review Letters (PRL) 2014. [ WEB ] A data-driven framework for visual crowd analysis , P. Charalambous, I. Karamouzas, S. J. Guy, Y. Chrysanthou, Pacific Graphics (CGF) 2014. [ PDF ] User-Driven Narrative Variation in Large Story Domains using Monte Carlo Tree Search , B. Kartal, J. Koenig, S. J. Guy, AAMAS 2014. [ PDF ] Velocity-based modeling of physical interactions in multi-agent simulations. , S. Kim, S. J. Guy, D. Manocha, SCA 2013. [ PDF ] A Statistical Similarity Measure for Aggregate Crowd Dynamics , S. J. Guy, J. van den Berg, W. Liu, R. Lau, M. C. Lin, D. Manocha, Siggraph Asia 2012. [ PDF ] Recent Courses: Animation and Planning in Games (CSCI 5611), Spring 2017 Intro. to Programming Concepts - Honors (CSCI 1133H), Fall 2016 Experimental Game Technologies (CSCI 8980), Spring 2016 Animation and Planning in Games (CSCI 5611), Fall 2015 Foundations of Computer Graphics (CSCI 5607), Fall 2014 Intro. to Programming Concepts (CSCI 1133), Spring 2013 Animation and Planning in Games (CSCI 5980-003), Fall 2013 [PDF] [Home page] Bio: (Full CV ) Stephen J. Guy is an associate professor in the Department of Computer Science and Engineering at the University of Minnesota. His research focuses on the areas of interactive computer graphics (real-time crowd simulation, path planning, intelligent virtual characters) and multi-robot coordination (collision avoidance, sensor fusion, path planning under uncertainty). Stephen's work on motion planning has been licensed for use in games and virtual environments by Relic Entertainment, EA, and other companies; his work in crowd simulation has been recognized by best paper awards at international conferences. Prior to joining Minnesota, he received his Ph.D. in Computer Science in 2012 from the University of North Carolina - Chapel Hill with support from fellowships from Google, Intel, and the UNCF, and his B.S. in Computer Engineering with honors from the University of Virginia in 2006. Prospective Students: I always look forward to meeting and collaborating with new students. I have a wide variety of interests (games, robots, AI, graphics, simulations, ...), and am always excited about new ideas in these fields. If you are interested in discussing any of these areas, feel free to stop by my office or e-mail me to schedule an appointment. I'm particularly seeking students who have previous experienced with comercial 3D modeling & animation packages, as well as hands on robotics work. If you are interested in joining me as a graduate student, I'd love to discuss how your research interests may potentially fit with my lab. In general, e-mail is the best way to contact me (and most other professors); David Evans has some great advice on how to do this productively -- I strongly recommend reading this before contacting any professor about graduate school. diff --git a/src/data/compiled_bios/3263.txt b/src/data/compiled_bios/3263.txt new file mode 100644 index 0000000000..8062515934 --- /dev/null +++ b/src/data/compiled_bios/3263.txt @@ -0,0 +1 @@ + Tian He Professor, ACM and IEEE Fellow Department of Computer Science and Engineering Affiliate with Digital Technology Center Gradu ate faculty in Electrical and Computer Engineering University of Minnesota 4-205 EE/CSci Building 200 Union Street SE Minneapolis, MN 55455 Email: tianhe at cs.umn.edu Office: (612) 626-1281 Fax: (612) 625-0572 Home Research Publication Teaching Service Release News! Our group won the best paper award from ICDCS 2018 (1 out of 378 submissions) for work titled "Symbol-level Cross-technology Communication via Payload Encoding". This work demonstrates the feasibility of reverse cross-technology communication from low-end devices (ZigBee) to high-end devices (Wi-Fi) Our group won the best paper award from MobiCom 2017 (1 out of 186 submissions) for work titled "WEBee: Physical-Layer Cross-Technology Communication via Emulation". WEBee video can be found here . WEBee release and technical support can be found here . Here are the slides and conference talk video . Our group won the best paper award from SenSys 2017 (1 out of 151 submissions) for work titled "SmartLight: Light-weight 3D Indoor Localization Using a Single LED Lamp". It is the first pure digital approach for 3D indoor localization. Congratulations to Desheng Zhang for successfully landing tenure-track assistant professorship in Rutgers University (US News Rank 34). So far, eight students from the group joined reputable universities as tenure-track assistant professors in the first employment. Congratulations to Song Min Kim for successfully landing tenure-track assistant professorship in George Manson University (US News Rank 67). I will recruit multiple Ph.D. students fall 2018. If you are self-motivated, diligent with a strong system background and (of course) interested, please mention my name in the cover letter of the application package to the department. more information about our MiNDs group, please check http://tianhe.cs.umn.edu , Thanks! Short Biography Dr. Tian He is currently a full professor in the Department of Computer Science and Engineering at the University of Minnesota-Twin Cities. He received the Ph.D. degree under Professor John A. Stankovic from th e University of Virginia, Virginia. Dr. He is the author and co-author of over 280 papers in premier network journals and conferences with over 22,000 citations (H-Index 65). Dr. He is the recipient of the NSF CAREER Award (2009), McKnight Land-Grant Chaired Professorship (2011), George W. Taylor Distinguished Research Award (2015), China NSF Outstanding Overseas Young Researcher I and II (2012 and 2016), and eight best paper awards in international conferences including MobiCom, SenSys, and ICDCS. Dr. He has served a few general/program chair positions in international conferences and on many program committees and also has been an editorial board member for six international journals including ACM Transactions on Sensor Networks, IEEE Transactions on Computers and IEEE/ACM Transactions on Networking. His research includes wireless networks, networked sensing systems, cyber-physical systems, Internet of Things (IOT), and distributed systems in general. He is an ACM and IEEE Fellow. Research Awards Best Paper Award, ICDCS 2018 Best Paper Award, MobiCom 2017 Best Paper Award, SenSys 2017 George W. Taylor Distinguished Research Award, 2015 Distinguished Nokia Sensing X-CHALLENGE Award, 2014 K. C. Wong Award, Chinese Academia of Science, 2012 China NSF Outstanding Overseas Young Researcher (Information Technology), NSFC, 2012 and 2016 NSF CAREER Award 2009 McKnight Land-Grant Professorship Award, 2009 Best Paper Award, The Seventh Int. Conference on Mobile Ad-hoc and Sensor Networks (MSN) Best Paper Award, The Tenth Int. Conference on Mobile Data Management (MDM) Best Paper Award, The Fifth IEEE Int. Conference on Mobile Ad-hoc and Sensor Systems (MASS) Best Paper Award, The Second Int. Conference on Mobile Ad-hoc and Sensor Networks (MSN) Best Paper Award, The Fourth ACM Workshop on Security of Ad Hoc and Sensor Networks (SASN) Outstanding Graduate Research Award, Computer Science Department , University of Virginia. HuaWei Outstanding Graduate Research Award,Chinese Academia of Science , China. diff --git a/src/data/compiled_bios/3264.txt b/src/data/compiled_bios/3264.txt new file mode 100644 index 0000000000..216445bafc --- /dev/null +++ b/src/data/compiled_bios/3264.txt @@ -0,0 +1 @@ + Software Engineering Center / Main navigation | Main content Campuses: Twin Cities Crookston Duluth Morris Rochester Other Locations Go to the U of M home page OneStop myU search College of Science and Engineering CSE Home CSE Directory Give to CSE Student Dashboard UMSEC About UMSEC Directory Faculty Mats Heimdahl Adjunct Faculty Staff Publications Presentations Research Education News Events Outreach Contact Information Sign up to receive special event notifications by email. Learn about our Master of Science in Software Engineering program. Software Engineering Center You are here Home Directory Faculty Mats Heimdahl Computer Science and Engineering Department Head Professor Phone Number: 612-625-2068 Office Location: Kenneth H Keller Hall room 6-201 Personal Email: heimdahl@umn.edu Education: M.S. Computer Science and Engineering from the Royal Institute of Technology, Sweden, 1988. Ph.D. Computer Science, University of California at Irvine, 1994. Biography: Professor Mats Heimdahl specializes in software engineering and safety critical systems. He is the director of the University of Minnesota Software Engineering Center (UMSEC). Heimdahl is the recipient of the National Science Foundation's CAREER award, a McKnight Land-Grant Professorship and the McKnight Presidential Fellow award at the University of Minnesota, and the University of Minnesota Award for Outstanding Contributions to Post-Baccalaureate, Graduate, and Professional Education. Research: Software is increasingly involved in our lives; software controls physical systems ranging from microwave ovens and watches to nuclear power plants, aircraft, and cars. Computer-related failures can, in many of these applications, have catastrophic effects. My research group, the Critical Systems Research Group (CriSys), is conducting research in software engineering and is investigating methods and tools to help us develop software with predictable behavior free from defects. Research in this area spans all aspects of system development ranging from concept formation and requirements specification, through design and implementation, to testing and maintenance. In particular, we are currently investigating model-based software development for critical systems. Specifically, we are focusing on how to use various static verification techniques to assure that software requirements models possess desirable properties, how to correctly generate production code from software requirements models, how to validate models, and how to effectively use the models in the testing process. Interests: Software engineering and safety critical systems. Recent Publications Contract discovery from black-box components Complex computer-controlled systems are commonly constructed in a middle-out fashion where existing subsystems and available components have a significant influence on system architecture and drive design decisions. During system design, the architect must verify that the components, put together as specified in the architecture, will achieve the desired system behavior. This typically leads to further design modifications or adjustments to requirements triggering another iteration of the design-verify cycle. Read more about Contract discovery from black-box components Toward Rigorous Object-Code Coverage Criteria Object-branch coverage (OBC) is often used as a measure of the thoroughness of tests suites, augmenting or substituting source-code based structural criteria such as branch coverage and modified condition/decision coverage (MC/DC). In addition, with the increasing use of third-party components for which source-code access may be unavailable, robust object-code coverage criteria are essential to assess how well the components are exercised during testing. Read more about Toward Rigorous Object-Code Coverage Criteria Architecture Modeling and Analysis for Safety Engineering Architecture description languages such as AADL allow systems engineers to specify the structure of system architectures and perform several analyses over them, including schedulability, resource analysis, and information flow. In addition, they permit system-level requirements to be specified and analyzed early in the development process of airborne and ground-based systems. These tools can also be used to perform safety analysis based on the system architecture and initial functional decomposition. Read more about Architecture Modeling and Analysis for Safety Engineering Pages 1 2 3 4 5 6 7 8 9 next last 2019 Regents of the University of Minnesota. All rights reserved. The University of Minnesota is an equal opportunity educator and employer Last modified on Jan 17, 2019 Twin Cities Campus: Parking & Transportation Maps & Directions Directories Contact U of M Privacy diff --git a/src/data/compiled_bios/3265.txt b/src/data/compiled_bios/3265.txt new file mode 100644 index 0000000000..2a7bed2d82 --- /dev/null +++ b/src/data/compiled_bios/3265.txt @@ -0,0 +1 @@ + Nicholas Hopper Professor Computer Science & Engineering Department University of Minnesota hoppernj at umn edu 200 Union St SE Minneapolis, MN 55455 USA Office: 4211 Keller Hall Phone: (612)-626-1284 Read more about my: Bio | Research interests | Publications | Advising | Teaching I'm a Professor (and Director of Undergraduate Studies) in the Computer Science & Engineering Department. My primary research interest is in online communications security and privacy; within this field my main focus is on the following areas: Anonymous Communication Censorship Resistance Privacy-Enhanced Applied Cryptography In the past, I have also worked on security and privacy in peer-to-peer networks, BGP routing, electronic cash, and provable security for steganography and watermarking. diff --git a/src/data/compiled_bios/3266.txt b/src/data/compiled_bios/3266.txt new file mode 100644 index 0000000000..4bde084fad --- /dev/null +++ b/src/data/compiled_bios/3266.txt @@ -0,0 +1 @@ + Victoria Interrante Professor Department of Computer Science and Engineering University of Minnesota 6-185 Keller Hall interran {at} umn {dot} edu (612) 625-3543 Professor Interrante's research focuses on applying insights from visual perception and cognition to the development of more effective virtual reality experiences and the more effective communication of complex information through visual imagery. In this work, she enjoys collaborating with colleagues in a wide variety of fields, from architectural design and neuropsychology to engineering and medicine. Dr. Interrante is a recipient of the 1999 Presidential Early Career Award for Scientists and Engineers , "the highest honor bestowed by the U.S. government on outstanding scientists and engineers beginning their independent careers", and a 2001-2003 McKnight Land-Grant Professorship from the University of Minnesota. She co-founded and served as the first general co-chair of the ACM/SIGGRAPH Symposium on Applied Perception , and is currently serving as co-editor-in-chief of the ACM Transactions on Applied Perception , as well as on the editorial boards of several other leading journals including the IEEE Transactions on Visualization and Computer Graphics . She was an invited presenter at the 2004 National Academies Convocation on Facilitating Interdisciplinary Research , an invited participant at the National Academy of Engineering's Seventh Annual Frontiers of Engineering , and a member of the organizing committee for the Eighth German-American Symposium on Frontiers of Engineering , a joint project of the NAE and the Alexander von Humbolt Foundation. In addition, Dr. Interrante has an active record of leadership and service with numerous top international conferences in virtual reality, visualization and computer graphics. She is currently a member of the Steering Committee for the IEEE Virtual Reality Conference , for which she also served as co-General Chair in 2014 and co-Program Chair in 2015-2017. In recent years, she has also served as the co-General Chair of EuroVR 2017 , and as co-Program Chair of the 2010 Joint Virtual Reality Conference of EGVE, EuroVR and VEC , and the 2008 Eurographics Workshop on Computational Aesthetics , as well as chair of the technical track on Graphics, Animation and Gaming at the 2015 Grace Hopper Celebration of Women in Computing . At the University of Minnesota, Dr. Interrante is currently serving as the director of the Center for Cognitive Sciences and as a member of the graduate faculty of the Program in Human Factors . She served from 2010-2013 as a member and 2013-2014 as co-chair of the Women's Faculty Cabinet , providing consultation and advice to the Vice Provost for Faculty and Academic Affairs to improve and enrich the academic and professional environments for women faculty at the University of Minnesota. She also served as Director of Graduate Studies for the Department of Computer Science and Engineering from 2010-2013. Research Enhancing Spatial Perception and Presence in Immersive Virtual Environments Enhancing Locomotion in Immersive Virtual Environments Applications of Immersive Virtual Environments Technology Feature Extraction for Visualization Multivariate Data Visualization Conveying 3D Shape via Texture Visualizing 3D Flow with Volume Line Integral Convolution Applications of Volume Rendering Google Scholar citations Teaching CSci 2031: Introduction to Numerical Computing -- Fall 2001, 2009, 2010; Spring 2005, 2008 CSci 2033: Elementary Computational Linear Algebra -- Spring 2014, 2015, 2016, Fall 2016 CSci 4107: Introduction to Computer Graphics Programming -- Spring 2004, 2005, 2007, 2009, 2010; Summer 2012 CSci 4980: Global Seminar on Computer Graphics in China -- Summer 2004 (organized by Baoquan Chen) CSci 5107/5607: Computer Graphics I -- Spring 1999, Fall 1999, 2000, 2001, 2005, 2012, 2013, 2015, 2016 CSci 5108/5608: Computer Graphics II -- Spring 2000, 2002, 2006 CSci 5109/5609: Visualization -- Fall 2003, 2006, 2008, 2010; Spring 2012, 2013 CSci 5619: Virtual Reality and 3D Interaction -- Spring 2015, 2016, Fall 2017 CSci 5980: Interacting in Virtual Worlds -- Fall 2011 CSci 8001/8002: Introduction to Research in Computer Science -- Fall 2006, Spring 2007 CSci 8199: Topics in Visualization Research -- Winter 1999 CSci 8980: Perception for Visualization -- Fall 2000 CSci 8980: Virtual Environments -- Fall 2004, 2008, 2014 Current Students Zhihang Deng Koorosh Vaziri Sahar Aseeri Peng Liu (on leave) Alumni Loren Puchalla Fiore, PhD 2016 Sheng-Wen Wang, PhD 2011 Brian Ries, PhD 2011 Haleh Hagh-Shenas, PhD 2007 Tim Urness , PhD 2006 Sunny Kim , PhD 2004 Jangyoon Kim, MS 2017 Jonathan Gandrud, MS 2015 Cesar Mora Castro, MS 2013 Prince Bajracharya, MS 2011 Eric Theriault, MS 2011 Hye Eun Lim, MS 2007 Li Feng, MS 2007 Jason Lindquist, MS 2007 K. Evan Nowak, MS 2007 Patrick Coleman Saunders, MS 2006 Ross Tredinnick , MS 2006 Janet Byers-Dent, MS 2005 Cheong Hee Park, MS 2002 Gabriele Gorla, Jeremy Leboy, MS 1999 Ahna Girshick , MS 1999 Michael Kaeding, BS 2009 Kamala Varma, REU 2017 Zane Joiner, REU 2017 Karla Paraiso, DREU 2017 Tong Thao, REU 2016 Alex Dawson, REU 2016 Eliza Scott, DREU 2016 Francine Lapid, DREU 2016 Luka Milekic, REU 2015 Alex Foley, REU 2015 Corrie Moore, DREU 2015 Helen Dougherty, DREU 2015 Grace Chen, DREU 2014 Bezawit Moges, DREU 2014 Haley Adams, DREU 2013 Alyssa Crider, DREU 2013 Ella Coben , DREU 2012 Samantha Merritt, DREU 2012 Amelia Nybakke, DREU 2011 Ramya Ramakrishnan , DREU 2011 Cassandra Ichniowski , DMP 2008 Christine Horgan, DMP 2008 Eleanor O'Rourke , DMP 2006 Leanne Gray, DMP 2006 Julie Rico, DMP 2006 Tabitha Peck , DMP 2003 Janet Luan, DMP 2003 Noor Martin, DMP 2002 Margaret Richey, DMP 2002 Krista Janssen, DMP 2001 Lane Phillips Personal Information diff --git a/src/data/compiled_bios/3267.txt b/src/data/compiled_bios/3267.txt new file mode 100644 index 0000000000..0f8f368dc0 --- /dev/null +++ b/src/data/compiled_bios/3267.txt @@ -0,0 +1 @@ + Ibrahim Volkan Isler Professor Department of Computer Science University of Minnesota UMN Center for Applied Phenomics Fellow of the Informatics Institute 2010-12 McKnight Land-Grant Professor Resident Fellow at IonE Other affiliations: DTC , Precision Agriculture Center Office: Keller 4-213 Walking directions from the East Bank Light Rail Stop Phone: +1-612-625-1067 Fax: +1-612-625-0572 Email: Mailing address Bio: Brief bio , CSE profile , C.V. CSCI 2011H: Honors Discrete Math (Spring 2017) [ Course Information ] CSCI 5561: Computer VIsion (Spring 2017) [ Course Information ] Office hour: Friday 10am or by appointment (teaching related? Also check the class pages please) Publications , RSN Lab Prospective students: Please read this before contacting me Curious about life in the Twin-Cities? Follow these links on our lab wiki, or check out this page Research My group and the Robotic Sensor Networks Lab Here are some slides and videos for a quick summary of our recent work on: Robotic Environmental Monitoring [ Project Page ] Robotic Data Mules [ Project Page ] Agricultural Robotics where you can find updates on our recent work. Here is a video on our yield mapping results. Selected Recent Publications More at: [ complete list of publications ][ Google Scholar Profile ] A Pursuit-Evasion Toolkit (RAM 2016) Environment and Solar Map Construction for Solar-Powered Mobile Systems (TRO'16) Constrained Probabilistic Search for a One-Dimensional Random Walker (TRO'16) Large Scale Image Mosaic Construction for Agricultural Applications (RAL'16) [ Project Page ] Gathering Bearing Data for Target Localization (RAL'16) Capturing an Omnidirectional Evader in Convex Environments using a Differential Drive Robot (RAL'16) Algorithms for Cooperative Active Localization of Static Targets With Mobile Bearing Sensors Under Communication Constraints (TRO'15) Lion and Man with Visibility in Monotone Polygons (IJRR'14) Symmetric Rendezvous Search on the Line with an Unknown Initial Distance (TRO'13) Energy-Efficient Path Planning for Solar-Powered Mobile Robots (JFR'13) Efficient Data Collection from Wireless Nodes under the Two-Ring Communication Model (IJRR'12) Building a Communication Bridge With Mobile Hubs (T-ASE'12) Robotic Data Mules for Collecting Data over Sparse Sensor Fields (JFR'11) Search and Pursuit-evasion in Mobile Robotics (AURO'11) Capturing an Evader in a Polygonal Environment with Obstacles (IJCAI'11) Energy-Optimal Velocity Profiles for Car-Like Robots (ICRA'11) A Robotic System for Monitoring Carp in Minnesota Lakes (JFR'11) Robotic Routers: Algorithms and Implementation (IJRR'10) Recent Activities Some of our recent work on agricultural robotics , and some relevant press coverage: [ Momentum ] [ CS Dept news release ] [ MN Daily article ] [ UMN News ] [ CSE News ] ICRA 2015 Workshop on Active Perception . Special issue coming soon WAFR 2014 took place in Istanbul (in the same building where, twenty years ago, I registered for my first class as an engineering student.) RSN Lab featured on 5 eyewitness news Workshop on Robotics for Environmental Monitoring at: [ RSS 2013 ] [ IROS 2012 ] [ RSS 2012 ] [ IROS 2011 ] Workshop on Many-Robot Systems at: [ ICRA 2013 ] [ ICRA 2012 ] ICRA 2012 was held here in the Twin-Cities Autonomous Robots Special Issue on Search and Pursuit/Evasion with Mobile Robots is in press IEEE RAS Technical Committee on Networked Robots chair (2009 - 2015) Associate Editor for: IEEE Transactions on Robotics (2010-2014) IEEE Transactions on Automation Science and Engineering (2009 - 2014) Robotics & Automation Society Conference Editorial Board (2006 - ) Teaching CSCI 8980: Geometric Optimization in Robotics -- Fall 2016 [ Info ] [ Course Dir ] CSCI 8980: Geometric Optimization in Robotics (Fall 2016) CSci 5561: Computer Vision (Spring 2015) CSci 2011: Discrete Structures of Computer Science (Fall 2014) CSci 5561: Computer Vision (Spring 2014) CSci 8980: Seminar in Robotics: Networked and Cloud Robotics (Spring 2013) CSci 5551: Intro. to Intelligent Robotic Systems (Fall 2012) CSci 5561: Computer Vision (Spring 2011) CSci 2011: Discrete Structures of Computer Science (Spring 2010) CSci 5551: Intro. to Intelligent Robotic Systems (Fall 2009) CSci 2011: Discrete Structures of Computer Science (Spring 2009) CSci 5980: Robotic Sensor Networks (Fall 2008) Miscellaneous Prospective students: Please read this before contacting me Curious about life in the Twin-Cities? Follow these links on our lab wiki, or check out this page Older News: A list of workshops I helped organize is available here ICRA 2011 Workshop on Educating Robotics Engineers and Scientists WAFR 2010 was in Singapore Dec 13-15 RSN Lab will have a strong presence in ICRA'10 . In addition to presenting four research papers , we are co-organizing two workshops: Search and Pursuit-Evasion Network Science and Systems Issues in Multi-Robot Autonomy Workshop on Robotic Wireless Sensor Networks diff --git a/src/data/compiled_bios/3268.txt b/src/data/compiled_bios/3268.txt new file mode 100644 index 0000000000..3951349a74 --- /dev/null +++ b/src/data/compiled_bios/3268.txt @@ -0,0 +1 @@ + Ravi Janardan Professor Dept. of Computer Science & Engineering University of Minnesota 4-192 Keller Hall 200 Union Street S.E. Minneapolis, MN 55455-0159 Tel: (612) 625-7338 Fax: (612) 625-0572 Email: lastname @umn.edu The real voyage of discovery lies not in seeking new landscapes, but in having new eyes. -Marcel Proust Education Ph.D. (1987), M.S. (1985). Computer Science. Purdue University , West Lafayette, IN. M.Tech (1982). Computer Science. Indian Institute of Technology, Madras , India. B.Tech (1980). Mechanical Engg. Indian Institute of Technology, Madras, India. Professional Experience Professor (1998-present). Associate Head (2000-2005). Chair, Faculty Recruiting (1998-2005). Associate Professor (1993-98). Assistant Professor (1987-93). All at the Dept. of Computer Science & Engineering , University of Minnesota, Twin Cities. Research Geometric Computing and Applications Broadly speaking, geometric computing is concerned with the design of efficient computational techniques for representing, reasoning with, and manipulating geometric entities. My research here encompasses algorithm and data structure design and analysis, software development, and deployment of solutions into applications. Application areas of current interest include computer-aided design and manufacture, spatial query processing, biomedical engineering, and protein structure analysis. To get a flavor for this, you can check out some of my recent work on layered manufacturing here . Feel free to email me ( lastname @cs.umn.edu) if you would like more information or copies of my other papers, or are interested in collaborating on research. Teaching In Fall 2018, I am teaching a graduate course on advanced algorithms and data structures (CSci 5421). In Spring 2019, I will be teaching an undergraduate honors course on discrete methods (CSci 2011H) and a graduate course on computational geometry (CSci 8442). Students Jie Xue (Ph.D. student, 2014--). Research area: Geometric computing. Rahul Saladi (Ph.D., graduated 2017). First employment: Univ. of Illinois at Urbana-Champaign (post-doctoral associate). Yuan Li (Ph.D., graduated 2017). First employment: Facebook, Seattle, WA. Akash Agrawal (Ph.D., graduated 2016). First employment: Google, Mountain View, CA. Yokesh Kumar (Ph.D., graduated 2012). First employment: Microsoft, Seattle, WA. Jieping Ye (Ph.D., graduated 2005). First employment: Asst. Professor, Arizona State Univ., Tempe, AZ. Ivaylo Ilinkin (Ph.D., graduated 2003). First employment: Asst. Professor, Rhodes College, Memphis, TN. Jayanth Majhi (Ph.D., graduated 1998). First employment: Mentor Graphics, Wilsonville, OR. Prosenjit Gupta (Ph.D., graduated 1995). First employment: AT&T Bell Labs., Murray Hill, NJ Siu Wing Cheng (Ph.D., graduated 1992). First employment: Asst. Professor, Hong Kong U of Sci. and Tech., Kowloon, Hong Kong. Several graduated M.S. students. diff --git a/src/data/compiled_bios/3269.txt b/src/data/compiled_bios/3269.txt new file mode 100644 index 0000000000..fc3798c9a4 --- /dev/null +++ b/src/data/compiled_bios/3269.txt @@ -0,0 +1 @@ + Home METIS CLUTO BDMPI Forums Navigation Menu Home Research Projects Software Publications Education Lab Information Welcome I'm George Karypis, a Professor at the Department of Computer Science & Engineering at the University of Minnesota in the Twin Cities of Minneapolis and Saint Paul and a member of the Digital Technology Center (DTC) at the University of Minnesota. Research My research interests are concentrated in the areas of data mining , recommender systems , learning analytics , high-performance computing , and chemical informatics and from time-to-time, I look at various problems in the areas of health informatics , information retrieval , bioinformatics , and scientific computing . Within these areas, my research focuses in developing novel algorithms for solving important existing and/or emerging problems, and on developing practical software tools implementing some of these algorithms. The results from this research have been presented in various conferences and published in leading peer reviewed journals and highly selective conference proceedings. Read more Education, Mentoring, and Advising I take great joy in teaching, advising, and mentoring undergraduate and graduate students and I consider it to be one of the perks of my job. My greatest pleasure and ultimate job satisfaction comes at those points during a course at which my students transition from simply listening and reading the material to actually understanding them, grasping them, internalizing them, and seeing how they fit within the general computer science discipline and how they are applied to solve real problems in real applications. Read more We will be slowly moving our codes to KarypisLab's GitHub repository . (3/20/18) A new release of the OpenMP version of Metis is now available. (10/30/16) Tensor completion routines have been added in SPLATT. (9/1/16) Release of L2Knng for computing the k-nn nearest graph a set of sparse vectors. (9/1/15) A new release of BDMPI (Big Data Message Passing Interface) is now available. (8/5/15) Recent publications Text segmentation on multilabel documents: A distant-supervised approach Feature extraction for classifying students based on their academic performance Local Latent Space Models for Top-N Recommendation HPC formulations of optimization algorithms for tensor completion Streaming Tensor Factorization for Infinite Data Sources more Copyright 2006-2015, George Karypis. Internal Lab Website - - diff --git a/src/data/compiled_bios/327.txt b/src/data/compiled_bios/327.txt new file mode 100644 index 0000000000..07c062a1ac --- /dev/null +++ b/src/data/compiled_bios/327.txt @@ -0,0 +1 @@ +Name: Cardenas, Alvaro:: Position: Assistant Professor:: Degrees: Ph.D., Electrical and Computer Engineering, University of Maryland, College Park,; 2006; M.S., Electrical and Computer Engineering, University of Maryland, College Park, 2002; B.S., Major: Electrical Engineering, Minor: Mathematics, University of Los Andes, 2000; Research Interests: Cyber-Physical Systems Security and Privacy; Intrusion Detection Systems; Smart Grid Networks, Security and Privacy; Internet of Things and Wireless Embedded Systems; Major Honors and Awards: NSF CAREER Award 2016-2020; Best Paper Award: 2014 IEEE Smart Grid Communications Conference, 2002 Army Science Conference; Graduate School Fellowship, University of Maryland, College Park, 2000-2002; RepresentativePublications: Valente, Junia, and Alvaro A. Crdenas. Using Visual Challenges to Verify the Integrity of Security Cameras.Proceedings of the 31st Annual Computer Security Applications Conference. ACM, 2015.; Barreto, C., Cardenas, A. A., Quijano, N., & Mojica-Nava, E. (2014, December). CPS: market analysis of attacks against Demand Response in the Smart Grid. Proceedings of the 30th Annual Computer Security Applications Conference (pp. 136-145). ACM.; Barreto, C., Giraldo, J., Cardenas, A. A., Mojica-Nava, E., & Quijano, N. (2014). Control Systems for the Power Grid and Their Resiliency to Attacks. Security & Privacy, IEEE, 12(6), 15-23.; Cardenas, A. A., Amin, S., Lin, Z. S., Huang, Y. L., Huang, C. Y., & Sastry, S. (2011, March). Attacks Against Process Control Systems: Risk Assessment, Detection, and Response. Proceedings of the 6th ACM Symposium on Information, Computer and Communications Security (pp. 355-366). ACM.; Cardenas, Alvaro A., John S. Baras, and Karl Seamon. A Framework for the Evaluation of Intrusion Detection Systems. The 6th IEEE Symposium onSecurity and Privacy, 2006.; diff --git a/src/data/compiled_bios/3270.txt b/src/data/compiled_bios/3270.txt new file mode 100644 index 0000000000..6c3f1f9b54 --- /dev/null +++ b/src/data/compiled_bios/3270.txt @@ -0,0 +1 @@ + daniel f. keefe, ph.d. ivlab.cs.umn.edu about me. contact me. work with me. More... projects. Vis-by-Sketching Orbacles with MINN_LAB Brain Imaging Ancient Greek Oratorical Performance in Virtual Reality CavePainting 1 Trajectory Mapper Anchored Gestures Tangible UI SliceWIM Motion Perception in VR Weather Report Design by Dragging Inside the Heart Bema Helical Axes of Motion Force Brushes Shape Matching Surgical Training Managing Pain with VR VisWeek 2011 Art Show Motion Trends about me. I am an Associate Professor in the Department of Computer Science and Engineeringat the University of Minnesota where I direct a research program in data visualization, interactive computer graphics, and spatialuser interfaces that we call the Interactive Visualization Lab (IV/LAB) . RESEARCH OVERVIEW My research explores a broad range of topics in the areas of visualization, computer graphics, and human-computer interaction. I am interested in questions, such as: (1) How can computer graphics most effectively leverage the power of the human visual system to facilitate understanding large multidimensional datasets? (2) To what extent can visualizations exploit emerging interface technologies to improve users abilities to design complex 3D structures and reason about data? Current projects within my group center on: augmented reality visualization and data physicalization, ensemble visualization for climate science and brain imaging, low-cost VR for health interventions, and basic research in 3D user interfaces, haptics, and pen and multi-touch input techniques. My group regularly teams with scientists, engineers, artists, and designers to apply the computer science techniques we develop to interdisciplinary problems. Our research has beensupported by the National Science Foundation, the National Institutes of Health, the National Academies Keck Futures Initiative, industry, and the Digital Technology Center and Office of the Vice President for Research at the University of Minnesota. For complete info on research, visit the IV/LAB web page . SHORT BIO AND RECENT AWARDS Dan Keefe is an Associate Professor in the Department of Computer Science and Engineering at the University of Minnesota. His research centers on scientific data visualization and interactive computer graphics. Keefes recent awards include the National Science Foundation CAREER award; the University of Minnesota Guillermo E. Borja Award for research and scholarly accomplishments; the University of Minnesota McKnight Land-Grant Professorship; and the 3M Non-tenured Faculty Award. He has received multiple best paper and best panel awards at top international conferences, such as IEEE VIS and ACM Interactive 3D Graphics. His research has been funded by the National Science Foundation, the National Institutes of Health, the National Academies Keck Futures Initiative, and industry sponsors. In addition to his work in computer science, Keefe is also an accomplished artist and has published and exhibited work in top international venues for digital art. Before joining the University of Minnesota, Keefe did post-doctoral work at Brown University jointly with the departments of Computer Science and Ecology and Evolutionary Biology and with the Rhode Island School of Design. He received the Ph.D. in 2007 from Brown Universitys Department of Computer Science and the B.S. in Computer Engineering summa cum laude from Tufts University in 1999. TEACHING I regularly teach the following courses: CSci-3081W: Program Design and Development CSci-4611: Programming Interactive Computer Graphics and Games CSci-5607: Fundamentals of Computer Graphics I CSci-5609: Visualization CSci-5619: Virtual Reality and 3D Interaction CSci-5980/8980: Special Topics (Past examples include: Computational Creativity, 3D Modeling, Spatial User Interfaces) Here is a list of course offerings by semester . contact me. Email: dfk@umn.edu (preferred) Phone: 612-626-7508 Mailing Address: 4-192 Keller Hall, 200 Union St. SE, Minneapolis, MN 55455 In Person: 6-211 Keller Hall I try to hold open office hours each week. Please make aneffort to seek me out during this specially scheduled time. The time may change on a weekly basis, however. So, please, double check my availability on the calendar below before planning to meet. These hours are first come, first serve. To get a general idea of how busy a given time will be, you can check this optional sign-up sheet .If you know youre planning to come on a particular day, feel free to put your name on it to help me know how busy it will be. However, you can also just show up. The signup is optional. If my door is open, even if I am speaking with somebody, you should come in and sit "around the campfire". You may hear something that will be useful in your own work (or maybe even have something to offer to help the other student!). If the door is closed, hang out in the hall area outside my office, Ill be with you soon. Dan's Weekly Office Hours Schedule Optional Office Hours Sign-Up Sheet 2018 Daniel F. Keefe This site was designed with the .com website builder. Create your website today. Start Now diff --git a/src/data/compiled_bios/3271.txt b/src/data/compiled_bios/3271.txt new file mode 100644 index 0000000000..b63e4c8e6b --- /dev/null +++ b/src/data/compiled_bios/3271.txt @@ -0,0 +1 @@ + home people tools data publications bugs news press contact teaching speedcubing web traffic mystery lab member 2015 Microbiome Symposium Immigrant Microbiome Project IMP summer events Microbiome and Chemotherapy Infant microbiome dynamics ninja Santa Grant MORE Knights Lab 2013-2014 Knights Lab, University of Minnesota SITE home people publications positions news press teaching speedcubing contact CONTACT Knights Lab MCB 6-124 420 Washington Ave SE Minneapolis, MN 55455 (612) 5-MICROB (612-564-2762) dknights@umn.edu ABOUT Dr. Dan Knights is an Assistant Professor in the Department of Computer Science and Engineering and the Biotechnology Institute at the University of Minnesota. The Knights labmodels host-microbiome interactions in human disease, with labs in Minneapolis and Saint Paul. Knights is a PI with the M innesota Supercomputing Institute. Knights Lab internal wiki Hacking the m icrobiome Hack ing [HAK- ing ] 1. Writingor refining computer programs skillfully. 2. Seeking and exploiting weaknesses in a complex system in order to change its behavior for one's benefit. Our computational microbiology lab develops methods that bringprecision medicine to the microbiome. We applythose methods to findpatterns in microbial communities that predict and diagnose human diseases. Read more Lab News PJ Featured in PRI Article June 27, 2018 Top story on AAP News May 14, 2015 Immigrant Microbiome paper published in Cell November 9, 2018 1/10 Please reload Dan Knights Dr. Dan Knights is an Assistant Professor in the Department of Computer Science and Engineering and the BioTechnology Institute at the University of Minnesota. He obtained his Ph.D. in Computer Science under Rob Knight and MikeMozer at the University of Colorado at Boulder, with a certificate in Interdisciplinary Quantitative Biology from the University of Colorado's BioFrontiers Institute. He came to the University of Minnesota from a post-doctoral fellowship in the lab of Ramnik Xavier at Harvard Medical School and the Broad Institute of MIT and Harvard. Selected publications Ward TL, Dominguez-Bello MG, Heisel T, Al-Ghalith G, Knights D, Gale CA. Development of the Human Mycobiome over the First Month of Life and across Body Sites. mSystems. 2018 Jun 26;3(3):e00140-17. [ article ] Shields-Cutler RR, Al-Ghalith GA, Yassour M, Knights D. SplinectomeR enables group comparisons in longitudinal microbiome studies. Frontiers in microbiology. 2018;9:785. [ article ] Ward TL, Knights D, Gale CA. Infant fungal communities: current knowledge and research opportunities. BMC medicine. 2017 Dec 1;15(1):30. [ article ] Clayton JB, Vangay P, Huang H, Ward T, Hillmann BM, Al-Ghalith GA, Travis DA, Long HT, Van Tuan B, Van Minh V, Cabana F. Captivity humanizes the primate microbiome. Proceedings of the National Academy of Sciences. 2016 Aug 29:201521835. [ article ] Al-Ghalith GA, Montassier E, Ward HN, Knights D. NINJA-OPS: fast accurate marker gene alignment using concatenated ribosomes. PLoS computational biology. 2016 Jan 28;12(1):e1004658.[ article ] Livanos AE, Greiner TU, Vangay P, Pathmasiri W, Stewart D, McRitchie S, Li H, Chung J, Sohn J, Kim S, Gao Z. Antibiotic-mediated gut microbiome perturbation accelerates development of type 1 diabetes in mice. Nature microbiology. 2016 Aug 22;1:16140. [ article ] Maldonado-Gmez MX. Stable engraftment of Bifidobacterium longum AH1206 in the human gut depends on individualized features of the resident microbiome. Cell Host & Microbe. 2016 Oct 12;20(4):515-26. [ article ] Knights D, et al. Advances in inflammatory bowel disease pathogenesis: linking host genetics and the microbiome. Gut , 62 (10), 1505-1510 (2013). [ article ] Smith MI, et al. Gut Microbiomes of Malawian Twin Pairs Discordant for Kwashiorkor. Science , published online January 30 2013; 10.1126/science.1229000. [ article ] Huttenhower C, et al. Structure, Function and Diversity of the Healthy Human Microbiome. Nature 486, 207--214 (2012). [ article ] Yatsunenko T, et al. Human gut microbiome differentiation viewed across age and geography. Nature 486 (7402), 222-227. [ article ] Knights D, et al. Human-associated microbial signatures: examining their predictive value. Cell Host & Microbe . 2011 Oct 4;10(4):292-6. [ article ] Knights D, et al. Bayesian community-wide culture-independent microbial source tracking. Nature Methods 2011 Jul 17;8(9):761-3. [ article ][ software ] Wu GD, et al. Linking long-term dietary patterns with gut microbial enterotypes. Science 2011 Oct 7;334(6052):105c8. [ article ] Publications Join us ! Interested in joining the lab? Contact Dan at dknights@umn.edu. Want to supportour research? Please contact the University of Minnesota Foundation , or give now . diff --git a/src/data/compiled_bios/3272.txt b/src/data/compiled_bios/3272.txt new file mode 100644 index 0000000000..4d490e8298 --- /dev/null +++ b/src/data/compiled_bios/3272.txt @@ -0,0 +1 @@ + Jump to navigation Go to the U of M home page One Stop MyU : For Students, Faculty, and Staff Search search MENU menu Home Recent Talks Bio Honors and Awards Research Projects Selected Publications Students Joseph A. Konstan Home Recent Talks Bio Honors and Awards Research Projects Selected Publications Students Joseph A. Konstan Professor of Computer Science and Engineering Distinguished McKnight University Professor Distinguished University Teaching Professor Department of Computer Science and Engineering University of Minnesota 4-192 Keller Hall 200 Union Street SE Minneapolis, MN 55455 konstan@umn.edu Phone: +1 612 625-1831 Fax: +612 625-0572 CV.pdf CV.pdf Current Activities and Information This fall I taught CSci 8115, Human-Computer Interaction and User Interface Technology, and I'm currently working with students in the GroupLens lab at the University of Minnesota Department of Computer Science and Engineering . Specialty and Research Interests Human Computer Interaction Social Computing Collaborative Information Filtering Online Communities Medical and Health Applications of Internet Technology Education Ph.D. 1993 Computer Science University of California, Berkeley M.S. 1990 Computer Science University of California, Berkeley A.B. 1987 Computer Science Harvard College For Students, Faculty, and Staff One Stop MyU 2019 Regents of the University of Minnesota. All rights reserved. The University of Minnesota is an equal opportunity educator and employer. Privacy Statement Report Web Disability-Related Issue diff --git a/src/data/compiled_bios/3273.txt b/src/data/compiled_bios/3273.txt new file mode 100644 index 0000000000..2094d99984 --- /dev/null +++ b/src/data/compiled_bios/3273.txt @@ -0,0 +1 @@ + Rui Kuang Personal Homepage Kuang Lab Homepage Rui Kuang Associate Professor of Computer Science and Engineering Adjunct Professor of Biomedical Informatics and Computational Biology Office: 5-215 Keller Hall Phone: (612) 624-7820 Fax: (612) 625-0572 Email: kuan0009 umn edu Address: 4-192 Keller Hall, 200 Union Street SE, Minneapolis, MN 55455 Kuang Lab Home Page My broad research interests are in computational biology, biomedical informatics and machine learning. My lab focuses on developing machine-learning algorithms for problems in cancer genomics, biological network analysis and protein function/structure analysis. Teaching Spring 2018: CSci 5521: Introduction to Machine Learning [ syllabus ] [ moodle ] (Note: Read the syllabus carefully. The waitlist of the class will be full. Permission numbers will not be given through email unless you have a research need for your PhD thesis in computer science. Thus, I won't be able to reply to every request.) Recent Publications Jae-Woong Chang*, Wei Zhang*, Hsin-Sung Yeh, Ebbing de Jong, Semo Jun, Kwan-Hyun Kim, Sun Sik Bae, Kenneth Beckman, Tae Hyun Hwang, Kye-Seong Kim, Do-Hyung Kim, Timothy Griffin, Rui Kuang and Jeongsik Yong, mRNA 3'UTR Shortening is a New mTORC1-activated Molecular Signature Defining the Specificity in Ubiquitin-mediated Proteolysis, Nature Communications, 2015. (*Joint first authors) Accepted. Chien et al, TP53 Mutations, Tetraploidy, and Homologous Recombination Repair Defects in Early Stage High Grade Serous Ovarian Cancer , Nucleic Acids Research, Accepted, 2015 MaoQiang Xie, YingJie Xu, YaoGong Zhang, TaeHyun Hwang and Rui Kuang, Network-based Phenome-Genome Association Prediction by Bi-Random Walk, PloS One, 2015. Accepted. Nicholas Johnson, Huanan Zhang, Gang Fang, Vipin Kumar and Rui Kuang, SubPatCNV: approximate subspace pattern mining for mapping copy-number variations, [ Paper ][ Download ], BMC Bioinformatics 2015, 16:16. Huanan Zhang, Ze Tian and Rui Kuang , Transfer Learning Across Cancers on DNA Copy Number Variation Analysis, [ Paper ] Proc. of IEEE International Conference on Data Mining (ICDM), In Press, 2013 Jeremy R Chien, Rui Kuang, Charles Landen and Viji Shridhar, Platinum-Sensitive Recurrence in Ovarian Cancer: The Role of Tumor Microenvironment, [ Paper ], Front Oncol. 2013; 3: 251. Hong Cai, Changjin Hong, Timothy G Lilburn, Armando L Rodriguez, Sheng Chen, Jianying Gu, Rui Kuang and Yufeng Wang, A novel subnetwork alignment approach predicts new components of the cell cycle regulatory apparatus in Plasmodium falciparum, [ Paper ], BMC Bioinformatics 2013, 14(Suppl 12):S2. Wei Zhang, Takayo Ota, Viji Shridhar, Jeremy R Chien, Baolin Wu and Rui Kuang, Network-based Survival Analysis Reveals Subnetwork Signatures fro Predicting Outcomes of Ovarian Cancer Treatment, [ Paper ] [ Download ], PLoS Computational Biology, 9(3):e1002975, 2013 Tae Hyun Hwang, Gowtham Atluri, Rui Kuang, Timothy Starr, Kevin AT Silverstein, Peter Haverty, Zemin Zhang, and Jinfeng Liu, Large-scale Integrative Network-based analysis Identifies Common Pathways Disrupted by Copy Number Alterations across Cancers, [ Paper ] BMC Genomics, 2013 14:440, 2013 Department of Computer Science and Engineering University of Minnesota Twin Cities diff --git a/src/data/compiled_bios/3274.txt b/src/data/compiled_bios/3274.txt new file mode 100644 index 0000000000..cfa8b5f1e2 --- /dev/null +++ b/src/data/compiled_bios/3274.txt @@ -0,0 +1 @@ + Vipin Kumar's home page Affiliations and Address: kumar001 at umn.edu http://www.cs.umn.edu/~kumar/ Assistant : Laura Connor kradmin@umn.edu> Phone (612) 626 7514, Fax (612) 625 0572 Regents Professor and William Norris Endowed Chair Department of Computer Science and Engineering 5-225C, Keller Hall University of Minnesota Minneapolis, MN 55455 Phone (612) 624 8023 [ short bio ], [ full vita ], [ professional activities ], [ research projects ], [ books ], [ Google Scholar Link ], [ h-index Link ], [ publications ], [ software packages ], [ talks & tutorials ] Short Biography Vipin Kumar is a Regents Professor at the University of Minnesota, where he holds the William Norris Endowed Chair in the Department of Computer Science and Engineering. Kumar received the B.E. degree in Electronics & Communication Engineering from Indian Institute of Technology Roorkee (formerly, University of Roorkee), India, in 1977, the M.E. degree in Electronics Engineering from Philips International Institute, Eindhoven, Netherlands, in 1979, and the Ph.D. degree in Computer Science from University of Maryland, College Park, in 1982. Kumar's current research interests include data mining, high-performance computing, and their applications in Climate/Ecosystems and health care. Kumar is the Lead PI of a 5-year, $10 Million project, "Understanding Climate Change - A Data Driven Approach" , funded by the NSF's Expeditions in Computing program that is aimed at pushing the boundaries of computer science research. He also served as the Head of the Computer Science and Engineering Department from 2005 to 2015 and the Director of Army High Performance Computing Research Center (AHPCRC) from 1998 to 2005. His research has resulted in the development of the concept of isoefficiency metric for evaluating the scalability of parallel algorithms, as well as highly efficient parallel algorithms and software for sparse matrix factorization (PSPASES) and graph partitioning (METIS, ParMetis, hMetis). He has authored over 300 research articles, and has coedited or coauthored 10 books including two text books ``Introduction to Parallel Computing'' and ``Introduction to Data Mining'', that are used world-wide and have been translated into many languages. Kumar has served as chair/co-chair for many international conferences and workshops in the area of data mining and parallel computing, including 2015 IEEE International Conference on Big Data, IEEE International Conference on Data Mining (2002), and International Parallel and Distributed Processing Symposium (2001). Kumar co-founded SIAM International Conference on Data Mining and served as a founding co-editor-in-chief of Journal of Statistical Analysis and Data Mining (an official journal of the American Statistical Association). Currently, Kumar serves on the steering committees of the SIAM International Conference on Data Mining and the IEEE International Conference on Data Mining, and is series editor for the Data Mining and Knowledge Discovery Book Series published by CRC Press/Chapman Hall. Kumar is a Fellow of the ACM, IEEE, SIAM, and AAAS. He received the Distinguished Alumnus Award from the Indian Institute of Technology (IIT) Roorkee (2013) and the Distinguished Alumnus Award from the Computer Science Department, University of Maryland College Park (2009). Kumar's foundational research in data mining and high performance computing has been honored by the ACM SIGKDD 2012 Innovation Award , which is the highest award for technical excellence in the field of Knowledge Discovery and Data Mining (KDD), and the 2016 IEEE Computer Society Sidney Fernbach Award , one of IEEE Computer Society's highest awards in high performance computing. Complete Vita For a full vita with complete list of publications click here . Recent Professional Activities.. Series Editor, Data Mining and Knowledge Discovery - CRC Press Book Series Founding Editor, Statistical Analysis and Data Mining Steering Committee Member, SIAM International Conference on Data Mining Steering Committee Member, IEEE International Conference on Data Mining Board of Directors, ACM SIG Bioinformatics Conference Co-Chair, 2015 IEEE International Conference on Big Data (IEEE BigData 2015) Research Projects.. Curent Projects NSF Expedition in Computing : Understanding Climate Change - A Data Driven Approach GOPHER: Global Observatory for Planetary Health and Ecosystem Resources Generalization of the Association Analysis Framework Data Mining for Bio-medical Informatics NSF CRI : Scalable Benchmarks, Software and Data for Data Mining, Analytics and Scientific Discoveries MINDS - Minnesota Intrusion Detection System Recently Completed Projects Data Mining for Rare Class Analysis See highlights of this project on the NSF Discovery Page . Books.. Introduction to Data Mining Pang-Ning Tan, Michael Steinbach, Vipin Kumar Addison-Wesley, 2005. ISBN : 0321321367. Introduction to Parallel Computing , (Second Edition) Ananth Grama, Anshul Gupta, George Karypis, and Vipin Kumar. Addison-Wesley, 2003. ISBN 0-201-64865-2. International Chinese Edition 2003, Chinese translation, China Machine press, 2004. Computational Approaches for Protein Function Prediction by Gaurav Pandey, Chad L. Myers, Michael Steinbach and Vipin Kumar, to be published by Wiley & Sons in Fall 2008 Managing Cyber Threats: Issues, Approaches and Challenges, edited by V. Kumar, J. Srivastava, and A. Lazarevic, Springer, ISBN 0-387-24226-0, May 2005. Data Mining for Scientific and Engineering Applications, edited by R. Grossman, C. Kamath, W. P. Kegelmeyer, V. Kumar, and R. Namburu, Kluwer Academic Publishers, 2001. ISBN: 1-4020-0033-2. Introduction to Parallel Computing: Design and Analysis of Algorithms by Vipin Kumar, Ananth Grama, Anshul Gupta and George Karypis, Benjamin-Cummings Publishing Company, November 1993. Parallel Processing for Artificial Intelligence, Volume 1, edited by Laveen Kanal, Vipin Kumar, Hiroaki Kitano and Christian B. Suttner, North-Holland, June 1994. Parallel Processing for Artificial Intelligence, Volume 2, edited by Hiroaki Kitano, Vipin Kumar, and Christian B. Suttner, North-Holland, July 1994. Search in Artificial Intelligence, edited by Laveen Kanal and Vipin Kumar, Springer-Verlag, 1988. Parallel Algorithms for Machine Intelligence and Vision edited by V. Kumar, P.S. Gopalkrishnan, and L. Kanal, Springer-Verlag, March 1990. Publications This list is out of date. Please visit Google Scholar Link and DBLP and for more complete information. Data Mining for Bio-medical Informatics Data Mining Graph Partitioning Parallel Solution of Sparse Linear System of Equations N-Body Computation and Dense Linear System Solvers Scalability Analysis Linear Programming Parallel Tree Search and Load Balancing Parallel Natural Language Parsing Constraint Satisfaction Miscellaneous Software Packages METIS/ParMETIS/hMETIS - Serial and Parallel Graph Partitioning Libraries PSPASES - A Scalable Parallel Direct Solver Library for Sparse SPD Systems Recent Talks This list is out of date. Please visit the directory at this link. It contains slides of my recent talks. Discovery of Patterns in Global Earth Science Data using Data Mining , Keynote Presentation at the 14th Pacific-Asia Conference on Knowledge Discovery and Data Mining, 21 - 24 June, 2010, Hyderabad, India. Discovery of Patterns in Global Earth Science Data using Data Mining , Invited Presentation at the US China Computer Science Leadership Summit, June 14-15, 2010, Beijing, China. Mining Scientific Data: Past, Present, and Future [ pdf ], Keynote Presentation at SIAM International Conference on Data Mining 2010, April 29 - May 1, 2010, Columbus, Ohio. Mining Climate and Ecosystem Data : Challenges and Opportunities , Keynote Presentation at The IEEE International Conference On Data Mining (ICDM 2009) December 6-9, 2009, Miami, Florida. Assessing Change in Global Forest Cover using Data Mining , Invited Presentation at Next Generation Data Mining Summit (NGDM 2009) October 1-3, 2009, Columbia. High Performance Data Mining: Applications for Discovery of Patterns in the Global Climate System , Keynote Presentation at HiPC - International Conference on High Performance Computing, December 21, 2007, Goa, India. Data Mining for Sensor Networks - Opportunities and Challenges , Keynote Presentation at The IEEE International Conference in Sensor Networks, Ubiquitous and Trustworthy Computing (SUTC 2006) June 5-7, 2006, Taichung, Taiwan. Parallel and Distributed Computing for Cyber Security , Keynote Presentation at 17th International Conference on Parallel and Distributed Computing Systems (PDCS-2004) September 15-17, 2004, San Francisco. High Performance Data Mining , Keynote Presentation at 17th International Parellel and Distributed Processing Symposium (IPDPS 2003), April 22-26, 2003, Nice, France. Data Mining for Network Intrusion Detection , Presentation at NSF Workshop on Next Generation Data Mining, Nov 1-3, 2002 High Performance Data Mining , Keynote Presentation at High Performance Computing for Computational Science, VECPAR 2002, June 27, 2002 Discovery of Patterns in the Global Climate System using Data Mining , Keynote Presentation at PAKDD, May 7, 2002 Discovery of Indirect Association from Web Usage Data , Keynote Presentation at PAKDD Workshop on Mining Data across Multiple Customer Touchpoints for CRM, May 6, 2002 Data Mining for Scientific and Engineering Applications , Tutorial at SC2001 , November 12, 2001 High-Performance Data Mining , Tutorial at KDD-2000 , August 20, 2000 Workshop Workshop on Network Intrusion Detection , Aberdeen, Maryland, March 19 - 20, 2002 . diff --git a/src/data/compiled_bios/3275.txt b/src/data/compiled_bios/3275.txt new file mode 100644 index 0000000000..4a2d0d295b --- /dev/null +++ b/src/data/compiled_bios/3275.txt @@ -0,0 +1 @@ + Toggle navigation Kangjie Lu Research Publication Teaching Advising Experience Service CVEs Kangjie Lu Assistant Professor Department of Computer Science & Engineering University of Minnesota Office: 5-217 Keller Hall, 200 Union St SE Minneapolis, MN 55455 Email: kjlu@umn.edu Google scholar | GitHub I am an assistant professor in the Computer Science & Engineering Department of the University of Minnesota--Twin Cities. I earned my Ph.D. in Computer Science from Georgia Tech in 2017. My research strives to help users automatically uncover and address security problems, and to harden widely used systems while preserving their reliability and efficiency. I have developed multiple systems and tools that prevent advanced attacks, eliminate vulnerabilities, and detect privacy leaks. My work has resulted in many updates in popular systems such as the Linux kernel, the Android OS, and Apples iOS. I'm looking for Ph.D. students, a postdoc, and visiting students. If you are interested in systems and security, please feel free to contact me! See details . News [11/26/2018] Invited to serve on the program committee of ACM CCS'19 [10/18/2018] Our paper on preventing memory disclosures via diversificaiton and replicated execution has been accepted to IEEE TDSC [08/24/2018] Our proposal on detecting module-specific semantic errors has been award by NSF. Thanks NSF! [07/24/2018] Our paper on detecting lacking-recheck bugs in OS kernels has been conditionally accepted to ACM CCS'18. [02/01/2018] I will serve on the program committee of ACM CCS'18 [11/27/2017] Our paper on detecting real double-fetch bugs got accepted at IEEE S&P'18! [10/11/2017] I will serve on the program committee of USENIX Security'18 [09/16/2017] Openings available for Ph.D. students, a postdoc, and visiting students! [08/28/2017] Started working at UMN as an assistant professor [08/02/2017] I will serve on the program committee of AsiaCCS'18 ... Research For efficiency and flexibility purposes, widely used software systems such as operating systems and web servers are implemented in unsafe programming languages, and system designers often prioritize performance over security. As a result, these systems inherently suffer from a variety of vulnerabilities and insecure designs that have been exploited by adversaries to launch critical system attacks. System attacks constitute a major threat to our cyber world. The past several years have continuously witnessed critical system attacks targeting systems belonging to individuals, enterprises, and government agencies. My research aims to secure widely used software systems in an automated and practical manner: to help users automatically uncover and address security problems without requiring manual effort, and to protect widely used systems (e.g., the Linux kernel) while preserving their reliability and efficiency. I have worked towards my research goal in the following directions. Investigating vulnerabilities and insecure designs LRSan detects lacking-recheck bugs (a checked variable is further modified before being used) in the Linux kernel. We found 19 new lacking-recheck bugs. Deadline formally defines double-fetch bugs in OS kernels, and precisely and efficiently detects them using static program analysis and symbolic execution. We found 24 new double-fetch bugs in OS kernels. Target spraying reliably exploits uninitialized-use vulnerabilities by employing tailored symbolic execution and guided fuzzing. Jekyll uncovers insecurity with Apple's code signing and app review mechanisms, leading Apple to harden iOS. Hardening software systems Bunshin enables different and even conflicting security mechanisms to be combined to secure a program while reducing the execution slowdown, using N-version programming. UniSan eliminates the most common information-leak vulnerabilities is OS kernels. ASLR-Guard and RuntimeASLR harden programs to prevent code-pointers leaks, using compiler techniques and dynamic instrumentation. DFI protects data-flow integrity for critical data in OS kernels. Detecting privacy leaks AAPL employs enhanced data-flow analysis and peer-voting to detect suspicous privacy leaks in Android apps. SUPOR automatically infers sensitive user inputs on a large scale. Analyzing malware deROP automatically transforms ROP payload into traditional attack payload, facilitating malware analysis. Packed ROP , Software Watermarking , and RopSteg transform and obfuscate programs. Publications Stopping Memory Disclosures via Diversification and Replicated Execution [ PDF ] Kangjie Lu, Meng Xu, Chengyu Song, Taesoo Kim, and Wenke Lee. IEEE Transactions on Dependable and Secure Computing (TDSC), October 2018. Check it Again: Detecting Lacking-Recheck Bugs in OS Kernels [ PDF | Code ] Wenwen Wang, Kangjie Lu, and Pen-Chung Yew. In Proceedings of the 25th ACM Conference on Computer and Communications Security (CCS) . Toronto, Canada, October 2018. Precise and Scalable Detection of Double-Fetch Bugs in OS Kernels [ PDF ] Meng Xu, Chenxiong Qian, Kangjie Lu, Michael Backes, and Taesoo Kim. In Proceedings of the 39th IEEE Symposium on Security and Privacy (Oakland) . San Francisco, CA, May 2018. Bunshin: Compositing Security Mechanisms through Diversification [ PDF ] Meng Xu, Kangjie Lu, Taesoo Kim, and Wenke Lee. In Proceedings of the 2017 USENIX Annual Technical Conference (ATC) . Santa Clara, CA, July 2017. Unleashing Use-Before-Initialization Vulnerabilities in the Linux Kernel Using Targeted Stack Spraying [ PDF ] Kangjie Lu, Marie-Therese Walter, David Pfaff, Stefan Nrnberger, Wenke Lee, and Michael Backes. In Proceedings of the 2017 Annual Network and Distributed System Security Symposium (NDSS) . San Diego, CA, February 2017. UniSan: Proactive Kernel Memory Initialization to Eliminate Data Leakages [ PDF | Code | Page ] Kangjie Lu, Chengyu Song, Taesoo Kim, and Wenke Lee. In Proceedings of the 23rd ACM Conference on Computer and Communications Security (CCS) . Vienna, Austria, October 2016. Toward Engineering a Secure Android Ecosystem: A Survey of Existing Techniques [ PDF ] Meng Xu, Chengyu Song, Yang ji, Ming-Wei Shih, Kangjie Lu, Cong Zheng, Ruian Duan, Yeongjin Jang, Byoungyoung Lee, Chenxiong Qian, Sangho Lee, , and Taesoo Kim. ACM Computing Surveys 49(2), August 2016. How to Make ASLR Win the Clone Wars: Runtime Re-Randomization [ PDF | Code | Demo ] Kangjie Lu, Stefan Nrnberger, Michael Backes, and Wenke Lee. In Proceedings of the 2016 Annual Network and Distributed System Security Symposium (NDSS) . San Diego, CA, February 2016. Enforcing Kernel Security Invariants with Data Flow Integrity [ PDF ] Chengyu Song, Byoungyoung Lee, Kangjie Lu, William R. Harris, Taesoo Kim, and Wenke Lee. In Proceedings of the 2016 Annual Network and Distributed System Security Symposium (NDSS) . San Diego, CA, February 2016. ASLR-Guard: Stopping Address Space Leakage for Code Reuse Attacks [ PDF | Code | Page ] Kangjie Lu, Chengyu Song, Byoungyoung Lee, Simon P. Chung, Taesoo Kim, and Wenke Lee. In Proceedings of the 22nd ACM Conference on Computer and Communications Security (CCS) . Denver, Colorado, October 2015. SUPOR: Precise and Scalable Sensitive User Input Detection for Android Apps [ PDF ] Jianjun Huang, Zhichun Li, Xusheng Xiao, Zhenyu Wu, Kangjie Lu, Xiangyu Zhang, and Guofei Jiang. In Proceedings of the 24th USENIX Security Symposium (Security) . Washington, DC, August 2015. Software Watermarking using Return-Oriented Programming [ PDF ] Haoyu Ma, Kangjie Lu, Xinjie Ma, Haining Zhang, Chunfu Jia, and Debin Gao. In Proceedings of the 10th ACM Symposium on Information, Computer and Communications Security (ASIACCS) . Singapore, AprilJune 2015. Checking more and alerting less: Detecting privacy leakages via enhanced data-flow analysis and peer voting [ PDF ] Kangjie Lu, Zhichun Li, Vasileios Kemerlis, Zhenyu Wu, Long Lu, Cong Zheng, Zhiyun Qian, Wenke Lee, and Guofei Jiang. In Proceedings of the 2015 Annual Network and Distributed System Security Symposium (NDSS) . San Diego, CA, February 2015. RopSteg: Program Steganography with Return Oriented Programming [ PDF ] Kangjie Lu, Siyang Xiong, and Debin Gao. In Proceedings of the 4th ACM Conference on Data and Application Security and Privacy (CODASPY) . San Antonio, Texas, USA, March 2014. Jekyll on iOS: When Benign Apps Become Evil [ PDF ] Tielei Wang, Kangjie Lu, Long Lu, Simon Chung, and Wenke Lee. In Proceedings of the 22th USENIX Security Symposium (Security) . Washington, DC, August 2013. deRop: Removing Return-Oriented Programming from Malware [ PDF ] Kangjie Lu, Dabi Zou, Weiping Wen, and Debin Gao. In Proceedings of the 27th Annual Computer Security Applications Conference (ACSAC) . Orlando, Florida, USA, December 2011. Packed, Printable, and Polymorphic Return-Oriented Programming [ PDF ] Kangjie Lu, Dabi Zou, Weiping Wen, and Debin Gao. In Proceedings of the 14th International Symposium on Recent Advances in Intrusion Detection (RAID) . Menlo Park, California, USA, September 2011. Teaching Spring 2019: CSCI 4061: Introduction to Operating Systems Fall 2018: CSCI 5271: Introduction to Computer Security Spring 2018: CSCI 8980: Topics in Systems Security Advising Aditya Pakki (PhD student) Qiushi Wu (PhD student) Bowen Wang (PhD student) Professional Experience Assistant Professor University of Minnesota, Minneapolis 2017.8 - Present Visiting Scholar MPI-SWS & CISPA, Saarland University, Saarbrcken, Germany 2016.5 - 2016.8 Visiting Scholar MPI-SWS & CISPA, Saarland University, Saarbrcken, Germany 2015.5 - 2015.8 Research Intern Samsung Research America, Santa Clara 2014.5 - 2014.8 Research Intern NEC Labs America, Princeton 2013.5 - 2013.8 Research Assistant Georgia Institute of Technology, Atlanta 2012.8 - 2017.8 Research Engineer Singapore Management University, Singapore 2011.11 - 2012.6 Research Assistant Singapore Management University, Singapore 2010.7 - 2011.8 Research Assistant Peking University, Beijing, China 2009.9 - 2010.7 Professional Services Program Committees The 25th ACM Conference on Computer and Communications Security (CCS '18) The 27th USENIX Security Symposium (USENIX Security '18) The 13th ACM Asia Conference on Computer and Communications Security (AsiaCCS '18) Reported Vulnerabilities (Selected) CVE-2016-5243 : tipc: stack object link_info in tipc_nl_compat_link_dump() is disclosed without being properly initialized, causing kernel infoleak of up to 60 bytes. CVE-2016-4569 : x25: stack object dte_facilities in x25_negotiate_facilities() is disclosed without being initialized, causing kernel infoleak of up to 8 bytes. CVE-2016-4578 : ASLA: Two Linux kernel information leak vulnerabilities in timer.c; each can leak 8 bytes. CVE-2016-4569 : ASLA: a Linux kernel information leak vulnerability in timer (stack object tread). CVE-2016-4486 : netlink: an uninitialized data leak in linux kernel (stack object map in net/core/rtnetlink.c). CVE-2016-4482 : usb: an uninitialized data leak in linux kernel (stack object ci in drivers/usb/core/devio.c). CVE-2016-4485 : llc: an uninitialized data leak in linux kernel (stack object info in file net/llc/af_llc.c). CVE-2016-5244 : rds: stack object minfo in net/rds/recv.c is disclosed without being fully initialized, causing 1 byte kernel infoleak. Link : wireless: the whole array mac_addr may be sent out without initialization. This can cause a kernel infoleak of 6 bytes. Kangjie Lu Powered by pelican-bootstrap3 , Pelican , Bootstrap Back to top diff --git a/src/data/compiled_bios/3276.txt b/src/data/compiled_bios/3276.txt new file mode 100644 index 0000000000..20dc431eeb --- /dev/null +++ b/src/data/compiled_bios/3276.txt @@ -0,0 +1 @@ + Stephen McCamant Assistant Professor Department of Computer Science & Engineering 4-192 Keller Hall (mailing address) / 4-225E Keller Hall (office location) 200 Union St. SE. University of Minnesota (Twin Cities) Minneapolis, MN, 55455 mccamant@cs.umn.edu This home page: http://www.cs.umn.edu/~mccamant/ Office hours: Mondays 10-11am, Tuesdays 2-3pm, or by appointment (please email). I am also usually available at least for short discussions whenever my office door is open. News This spring, my students and I attended and presented at NDSS/ BAR , VEE /ASPLOS, USE/ ICST , and TACAS /ETAPS. We've released an updated version of the Flowcheck tool, with better compatibility with modern Linux systems. We've promulgated a technical report from my project with Qiuchen Yan on Conservative Signed/Unsigned Type Inference for Binaries using Minimum Cut . Biography Since the fall of 2012 I'm an assistant professor here at the University of Minnesota. For the 2008-2012 academic years I was a postdoc and project scientist at the University of California, Berkeley. I got my M.S. and Ph.D. at MIT, working with Michael Ernst (now at the University of Washington) and the Program Analysis Group . During this time I also spent the summer of 2005 at Microsoft Research in Redmond, working with Trishul Chilimbi on using dynamically-collected points-to sets to improve the efficiency of software model checking. Prior to that I got my undergraduate B.A. in computer science at the University of California, Berkeley ; while there, I worked with the Harmonia research group and helped out at the Open Computing Facility , among other things. Though I've spent enough time in California and the East Coast to see some of their advantages as well, I am by birth a midwesterner: I was born and raised in Chicago and Evanston, Illinois. My mother's side of the family was from Minneapolis and I still have family here. Research My primary research interest is applications of program analysis techniques for software security and correctness. This includes binary analysis and transformation, hybrids of dynamic and static analysis including symbolic execution, information flow and taint analysis, instruction-level hardening and isolation, and applications of decision procedures and proof-assistant tools. FuzzBALL is a binary-level symbolic execution tool built on top of the BitBlaze platform. We've used it in several past projects and its source code is now available on GitHub . Some of my previous projects have their own web sites: The BitBlaze project centered at Dawn Song 's research group at UC Berkeley works on applications of binary analysis in software security. While at Berkeley I worked on a series of projects related to binary-level information-flow analysis, symbolic execution, and other security applications. My Ph.D. research studied a practical technique for quantitative information-flow measurement . Results include a paper that appeared at PLDI 2008 , and the release of our implementation in a tool called Flowcheck . Together with Greg Morrisett of Harvard, while I was at MIT, I explored a binary-level technique to efficiently isolate untrusted code modules. For more about the technique, and its implementation in a tool named PittSFIeld, see the PittSFIeld page . More recently some of the key ideas in this work have been used in Google's Native Client . Earlier at MIT, I looked at some of the things that can go wrong when software is upgraded, and how we can use programming language and analysis technologies to mitigate those problems ( web page ). This work formed the basis of my Master's thesis. Publications Some recent publications: Bit-Vector Model Counting using Statistical Estimation. Seonmo Kim and Stephen McCamant. In 24th International Conference on Tools and Algorithms for the Construction and Analysis of Systems (TACAS) , April 2018. Available via SpringerLink open access . Finding Substitutable Binary Code for Reverse Engineering by Synthesizing Adapters. Vaibhav Sharma, Kesha Hietala, and Stephen McCamant. In 11th IEEE Conference on Software Testing, Validation and Verification (ICST) , April 2018. Available via IEEE Xplore . Fast DBT Using Intelligently Learned Rules. Wenwen Wang, Stephen McCamant, Antonia Zhai, and Pen-Chung Yew. In 23rd ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) , March 2018. Available via ACM DL . Fast PokeEMU: Scaling Generated Instruction Tests Using Aggregation and State Feedback. Qiuchen Yan and Stephen McCamant. In 14th ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environments (VEE) , (co-located with ASPLOS), March 2018. Available via ACM DL . The Effect of Instruction Padding on SFI Overhead. Navid Emamdoost and Stephen McCamant. In Workshop on Binary Analysis Research (BAR) , co-located with NDSS, February 2018. Available via NDSS conference . Veritesting Challenges in Symbolic Execution of Java. Vaibhav Sharma, Michael W. Whalen, Stephen McCamant, and Willem Visser. In Java Pathfinder Workshop , November 2017. Available via ACM DL . See also DBLP , Google Scholar . Most of my older papers from MIT (2002-2008) are available here on the PAG group's site, and my papers from my postdoc UC Berkeley (2008-2012) are available from the BitBlaze publications list . Prospective Students I'm looking forward to meeting and potentially working with current and prospective Minnesota students whose research interests overlap with mine, including software security, binary analysis, symbolic execution, and testing and correctness. If you're a current student, please stop by my office (or email for an appointment) and introduce yourself. If you're a prospective graduate student with interests in these areas, I encourage you to apply to Minnesota. Information about the application process is available from the department . I'd also be interested in corresponding with prospective grad students by email to discuss your and my research interests; David Evans has some good advice on how to do this productively. Teaching Spring 2019: CSci 5271, Introduction to Computer Security Fall 2018: CSci 2021, Machine Architecture and Organization Spring 2018: CSci 8271, Security and Privacy in Computing Fall 2017: CSci 5271, Introduction to Computer Security Spring 2016: CSci 2021, Machine Architecture and Organization Fall 2015: CSci 5271, Introduction to Computer Security Spring 2015: CSci 2021, Machine Architecture and Organization (personal copy of old site) Fall 2014: CSci 5271, Introduction to Computer Security (personal copy of old site) Spring 2014: CSci 8271, Security and Privacy in Computing (personal copy of old site) Fall 2013: CSci 5271, Introduction to Computer Security (personal copy of old site) Spring 2013: CSci 8980-1, Program Analysis For Security (personal copy of old site) Course materials available for reuse: Instruction-level rewriting assignment , suitable for an advanced course in binary analysis, security program analysis, etc.. Based on a simplified version of the PittSFIeld infrastructure, and tested in a UMN course in 2013. (Note that my solutions for the first two problems are public, so you'll need to modify them if you want to use them in a graded context.) Miscellaneous During the spring of 2007, I worked as a TA in 6.001 . My tutorial notes from the semester are available. If you're developing or testing tools that operate on C source code, you might want to reuse my single-file versions of open-source programs . As an exercise while teaching myself the ACL2 system, I proved a personal favorite result from pure mathematics, Goodstein's theorem . Here's the (uncommented) proof script . Last updated: January 22nd, 2019 diff --git a/src/data/compiled_bios/3277.txt b/src/data/compiled_bios/3277.txt new file mode 100644 index 0000000000..284f605ecf --- /dev/null +++ b/src/data/compiled_bios/3277.txt @@ -0,0 +1 @@ + Home Research Publications Students Teaching Contact us Gary Meyer is an Associate Professor in the Department of Computer Science and Engineering at the University of Minnesota. He has also been a member of the Computer Science faculty at the University of Oregon and a Member of Technical Staff at Bell Telephone Laboratories. Meyer received his Bachelors Degree from the University of Michigan, his Masters Degree from Stanford University, and his PhD Degree from Cornell University. His research interests include the synthesis of color and appearance in computer graphic pictures, perceptual issues related to synthetic image generation, and color reproduction and color selection for the human-computer interface.Professor Meyers research centers around the role of color in computer graphics, with a focus on the accurate and efficient reproduction of color in synthetic images. Three primary questions drive his research: How can knowledge of color perception and processing in the human visual system be used to improve computer-based color synthesis? How can natural phenomena that influence color, such as refraction and scattering, be simulated in synthetic images? How can computer graphics provide the same computer aided design tools to designers of color appearance materials that the designers of mechanical parts have had for over forty years? The exploration of these questions leads to improvements in techniques used to create computer graphic imagery. Copyright 2011 All rights reserved diff --git a/src/data/compiled_bios/3278.txt b/src/data/compiled_bios/3278.txt new file mode 100644 index 0000000000..ce27afbb5b --- /dev/null +++ b/src/data/compiled_bios/3278.txt @@ -0,0 +1 @@ + Search U of M Directories Home Education & Work Experience Awards Keynotes, Tutorials & Talks Students & Visitors Projects Publications Demos Service Teaching Funding PhD Tree Mohamed F. Mokbel Professor Department of Computer Science and Engineering University of Minnesota - Twin Cities 4-192 KHKH Building 200 Union Street SE, Minneapolis, MN, 55455 Office: 4-207 EE/CS Building Phone: (612) 626-3025 Email: mokbel@umn.edu Homepage: http://www.cs.umn.edu/~mokbel Awarded the highly prestigious VLDB "10-Years Award" for VLDB 2016 (Announcement) Chair of ACM SIGSPATIAL : 2014 - Editor-in-Chief: DAPD , 2017 - PC Co-Chair: SIGMOD 2018 Editorial Board: ACM Books , ACM TODS , ACM TSAS , VLDB Journal , GeoInformatica ,....... (more service) Best Paper Awards: MDM 2015 , MobiGIS 2012 , SSTD 2011 , MDM 2009 , MASS 2008 ,....... (more awards) PhD Alumni: A. Eldawy (2015, Assist. Prof., UC Riverside), A. Hendawi (2015, PostDoc, U. Virginia), M. Sarwat (2014, Assist. Prof., Arizona State U.), J. Bao (2014, Microsoft Research Asia), J. Levandoski (2011, Microsoft Research), M. Khalefa (2011, Assist. Prof., Alexandria U.), C. Chow (2010, Assist. Prof., City U. Hong Kong) NSF Awards as PI: IIS-1525953 (Sep 2015), CNS-1512877 (Jul 2015), IIS-1218168 (Sep 2012), IIS-0952977 (Mar 2010, CAREER), IIS-0811998 (Sep 2008), IIS-0811935 (Sep 2008),....... (more funding) Recent News Jun 2017: Congratulations to Amr Magdy for successfully defending his PhD. Amr will join University of California Riverside as tenure-track Assistant Professor this summer .... (Students) May 2017: Promoted to the rank of Full Profeesor Feb 2017: A Beta version of the ST-Hadoop project is released ......... (projects) Jan 2017: The Kite project is released ......... (projects) Jan 2017: Appointed Editor-in-Chief for DAPD ......... (Service) Jan 2017: Two papers and two demos are accepted in ICDE 2017........ (publications) (demos) Dec 2016: Delivered two Invited Talks at Uber and Huawei ......... (talks) Oct 2016: Delivered a Plenary Keynote for parallel IEEE conferences: Big Data & Cloud Computing ( BDCloud ), Social Computing & Networking ( SocialCom ), and Sustainable Computing ( SustainCom ), Atlanta, GA. (keynotes) Oct 2016: Delivered an Invited Talk at QCRI, Qatar ......... (talks) Sep 2016: Delivered the 10-Years VLDB Award talk at VLDB 2016, New Delhi, India ......... (keynotes) Sep 2016: Delivered two Invited Talks at Melbourne U., and UNSW, Australia ......... (talks) Sep 2016: Delivered a Keynote at the Australian Database Conference 2016, Sydney, Australia ......... (keynotes) July 2016: Awarded the highly prestigious VLDB "10-Years Award" for VLDB 2016. This award is established for the author(s), whose paper appeared in the VLDB conference 10 years ago, that has the most impact on database research since then. .... (Awards) (Announcement) Jun 2016: Congratulations to Ahmed Eldawy for successfully defending his PhD. Ahmed will join University of California Riverside as tenure-track Assistant Professor this summer .... (Students) May 2016: Delivered two tutorials & three papers at ICDE 2016, Helsinki, Finland .... (publications) (tutorials) May 2016: Delivered an Invited Talk at U. of Iowa .... (talks) Apr 2016: Appointed PC Co-Chair for ACM SIGMOD 2018 .... (service) Mar 2016: A Tutorial is accepted at ACM SIGMOD 2016 .... (tutorials) Dec 2015: Three papers & Two tutorials are accepted at IEEE ICDE 2016 .... (publications) (tutorials) Nov 2015: Runner-Up for Best Vision Paper Award at ACM SIGSPATIAL 2015, Seattle, WA.... (awards) Nov 2015: Poster paper & Vision paper are presented at ACM SIGSPATIAL 2015, Seattle, WA.... (publications) Nov 2015: Journal paper accepted at IEEE TKDE.... (publications) Oct 2015: Tutorial about Big Spatial Data is presented at IEEE Big Data 2015, San Jose, CA.... (tutorials) Oct 2015: Invited Talk , Emory University, Atlanta, GA........ (talks) Sep 2015: NSF Award: III: Small: Indexing, Querying, and Visualizing Big Spatial and Spatio-temporal Data. PI: Mohamed Mokbel. $499,769 ........ (funding) Aug 2015: Paper and Demo are presented at VLDB 2015, Kohala Coast, HI.... (publications) (demos) Aug 2015: Keynote Speaker at iDB Workshop, Nara, Japan.... (keynotes) Jul 2015: NSF Award: II-NEW: Research Infrastructure for Big Spatial and Temporal Data.. PI: Mohamed Mokbel, Co-PI: Brent Hecht, Ravi Janardan, Shashi Shekhar. $391,512........ (funding) Jun 2015: Best Paper Award and Best Demo Award at IEEE MDM 2015, Pittsburgh, PA.... (awards) Jun 2015: Tutorial about Big Spatial Data is presented at IEEE MDM 2015, Pittsburgh, PA.... (tutorials) Jun 2015: Three papers and Demo are presented at IEEE MDM 2015, Pittsburgh, PA.... (publications) (demos) May 2015: Keynote Speaker at SaudiGIS Symposium, Dammam, KSA.... (keynotes) Apr 2015: Runner-Up for Best Poster Award at IEEE ICDE 2015, Seoul, South Korea.... (awards) Apr 2015: Three papers & two demos presented at IEEE ICDE 2015, Seoul, South Korea. (publications) (demos) Mar 2015: SpatialHadoop is licensed to Eclipse Foundation , and renamed to be GeoJinni , .. University Article Current Projects ........ (more projects) diff --git a/src/data/compiled_bios/3279.txt b/src/data/compiled_bios/3279.txt new file mode 100644 index 0000000000..0be2fb3bf5 --- /dev/null +++ b/src/data/compiled_bios/3279.txt @@ -0,0 +1 @@ + Toggle navigation Home Research News People Publications Software Other Pages Lab Member Area Collaborators Positions Contact us Welcome to the Myers lab Computational Biology and Functional Genomics Recent News Lab members graduate Congratulations to Dr. Michno and Dr. Simpkins, who recently graduated from the BICB program. The Myers lab wishs them the best for their next steps! Learn More New paper Check out our new paper on trigenic genetic interactions in yeast Read Here New student in the lab Kevin Lin has joined the lab as a MD/PhD student in the Medical School and the BICB program Learn More About Us Recent developments in biotechnology have enabled quantitative measurement of diverse cellular phenomena. For instance, microarray technology allows biologists to measure the expression of all genes in the genome on a single chip. Other technology allows high-throughput measurement of physical interactions between proteins, which are an important mechanism behind most cellular processes. These recent developments have generated an unprecedented amount of data for several different organisms. These data promise to revolutionize our understanding of biology, but integrating information across several noisy, heterogeneous datasets to derive holistic models of the cell requires sophisticated computational approaches. Our research focuses on machine learning approaches for integrating diverse genomic data to make inferences about biological networks. The main purpose of our work is to further our understanding of gene function and how genes or proteins interact to carry out cellular processes. Copyright CSBIOLAB Website made by Jean-Michel Michno (Meesh) (mich0391@umn.edu) diff --git a/src/data/compiled_bios/328.txt b/src/data/compiled_bios/328.txt new file mode 100644 index 0000000000..f2e8756437 --- /dev/null +++ b/src/data/compiled_bios/328.txt @@ -0,0 +1 @@ +Name: Chandrasekaran, R.:: Position: Ashbel Smith Professor:: Degrees: Ph.D., Operations Research, University of California, Berkeley, 1967; B.Tech., Mechanical Engineering, Indian Institute of Technology, 1963; Research Interests: Combinatorial optimization; Scheduling; Computational geometry; Telecommunications; Mathematical programming; Major Honors and Awards: Ashbel Smith Professor, UT Dallas, 1997-; Nominated for the George B. Dantzig Prize in Mathematical Programming, 1988; Polykarp Kusch Lecturer, 1986-1987; Gurudas Chatterjee Award given by Operations Research Society of India, 1983; Nominated for Piper Teaching Award from the University of Texas at Dallas, 1980; Merit Scholarship (given to top ten students at IIT, Bombay), 1960-1962; RepresentativePublications: ; A combinatorial algorithm for Horn Programs, K. Subramani and R. Chandrasekaran, accepted for publication in Discrete Optimization. Forthcoming.; ; Polynomial Time Solution to Minimum Forwarding Set Problem in Wireless Networks under Disk Coverage Model , (with M. Baysan, K. Sarac), Adhoc Networks, 10, (2012) #7, pp. 1253-1266. 2012.; Minimal Time Broadcasting in Cognitive Radio Networks, (with C.L. Arachchige, S. Venkatesan, N. Mittal), ICDCN (2011), pp. 364-375. 2011.; On Labeling Problems in Graphs (with M. Dawande and M. Baysan), Discrete Applied Mathematics, 159, (2011), pp.746-759. 2011.; Randomized Distributed Algorithms for Neighbor Discovery in Multi-Hop Multi-Channel Heterogeneous Wireless Networks, (with Neeraj Mittal, Yanyan Zeng, S. Venkatesan), ICDCS 2011.; diff --git a/src/data/compiled_bios/3280.txt b/src/data/compiled_bios/3280.txt new file mode 100644 index 0000000000..10b6274a21 --- /dev/null +++ b/src/data/compiled_bios/3280.txt @@ -0,0 +1 @@ + Gopalan Nadathur Department of Computer Science and Engineering Institute of Technology University of Minnesota 4-192 EE/CS Building 200 Union Street SE Minneapolis, MN 55455 Email: gopalan atsign cs.umn.edu Phone: +1 (612) 626-1354 Fax: +1 (612) 625-0572 Contents Research Interests and Activities My Research Papers Some Recent Talks Teyjus--A Lambda Prolog Implementation Conference Program Committees Editorial Roles Research Opportunities for Students Programming Languages Seminar at UMN Current and Recent Teaching Research Interests I am interested in the design, use and implementation of programming languages. I am also interested in logic, especially as it underlies our understanding of programming formalisms and as it informs our construction of general reasoning systems. I have developed a higher-order logic programming language called Prolog in collaboration with Dale Miller. This language pioneered systematic support for higher-order abstract syntax , a new way of viewing the syntactic structure of objects such as programs, formulas, proofs and types that occur in many symbol processing tasks. I have subsequently led a research project that has developed the Teyjus system that is an efficient implementation of Prolog. Version 2 of this system was released in April 2008 and runs on varied architectures and under all the major operating systems. The Prolog language provides as a mechanism for specifying systems that can be conveniently conceptualized via a collection of inference rules operating on the syntax of objects. I am interested also in reasoning about the properties of such systems through their specifications. The SLIMMER project initiated the work of my group in this direction and resulted in the Bedwyr theorem-prover. We have subsequently started working on developing more powerful reasoning capabilities. The Abella system embodies some of the foundational work we have done on designing logics to support such reasoning. My research also spans theoretical developments that are useful relative to programming languages and logical frameworks. In the past, such work has spanned proof theory and logic, lambda calculus notations and their properties and unification procedures. Research Opportunities for Students If you are a student at the University of Minnesota, you enjoy introspecting on programs and programming, you like the challenge of thinking of theoretical issues and you are thrilled by the idea of testing out your thinking by building systems, do get in touch with me because we will sure have some common interests. This is not a message only to graduate students: I especially like working with motivated and interested undergraduates so you are welcome as well. To participate effectively in the research of my group, you will, of course, need to have an adequate background to complement your inclination. I can help you figure out how to go about doing this; typically you should think of doing the Programming Languages and the Compilers courses that we offer in the department and you should also have done or should plan on doing a logic course or a course on computability theory. A note for prospective graduate students: I will be happy to exchange mail about research interests and possibilities. However, I typically do not respond to requests for funding that come without any prior context. More importantly, you would be wasting your time and mine if you try to indulge in such a discussion. Our department has an admissions committee that must make the first decisions and research funding is relevant only after a clear connection in interests has been established. Programming Languages Seminar A group of interested students and faculty members meet for about an hour and a half each week to discuss a research paper or two that we have collectively decided to read a couple of weeks before. We typically decide on whether or not we are going to do this and also the time for the meeting at the beginning of the semester so you should get in touch with one of the Programming Languages and Software Engineering faculty early enough if you are interested. The cost of participation is small: you mainly have to agree to lead the discussion of a paper every now and then. The benefits of participation are substantial: you learn about some of the research trends in the programming languages area, you get to hone your skills for reading such papers in a friendly and encouraging setting, you get to interact with a group of nice people and you partake of the goodies someone brings each week to the meeting. Conference Program Committees IEEE Symposium on Logic in Computer Science (2009) International Workshop on Logical Frameworks and Meta-languages: Theory and Practice (2009) International Conference on Logic Programming (2009) International ACM/SIGPLAN Conference on Principles and Practice of Declarative Programming Editorial and Related Duties Theory and Practice of Logic Programming , Member of the Advisory Board. Cambridge University Press. Journal of Functional and Logic Programming , Member of the Editorial Board. An Electronic Journal published by EAPLS . Computing Research Repository (CoRR) , Moderator for the subareas of Programming Languages and Logic in Computer Science Teaching Current and Recent Courses CSci 5106, Programming Languages , Fall 2009 (UMN) CSci 5980/CSci 8980, Topics in Functional Programming , Spring 2009 (UMN) CSci 4011, Formal Languages and Automata Theory , Fall 2008 (UMN) CSci 5161, Introduction to Compilers , Spring 2007 (UMN) Some Older Courses CSci 8980, Advanced Topics in Programming Languages , Fall 2006 (UMN) CSci 8980, Deduction and Computation , Fall 2004 (UMN) Abstraction and Higher-Order Features in Logic Programming (at ESSLII'99, with D. Miller) Higher-Order Logic Programming , (CS328 at UChicago in Spring 1996, also offered at LMU, Munich) Last updated on May 19, 2009 by gopalan atsign cs.umn.edu diff --git a/src/data/compiled_bios/3281.txt b/src/data/compiled_bios/3281.txt new file mode 100644 index 0000000000..501fa084eb --- /dev/null +++ b/src/data/compiled_bios/3281.txt @@ -0,0 +1 @@ + Nikolaos Papanikolopoulos McKnight Presidential Endowed Professor Distinguished McKnight University Professor IEEE Fellow Director of the Center for Distributed Robotics and SECTTRA Department of Computer Science and Engineering University of Minnesota 200 Union Street, SE Minneapolis, MN 55455 e-mail: npapas(at)cs.umn.edu phone: (612) 625-0163 fax: (612) 625-0572 The UMN Scout Robots Cool Videos of the Scout Robots Scout Coverage by BBC Air-Dropped Scout Robot NSF Report on Robotics Scout TV Commercial for UMN Aquapod Robot Loper Robot My View on Research PROFILE Education Ph.D., Electrical and Computer Engineering, Carnegie Mellon University , 1992. M.S., Electrical and Computer Engineering, Carnegie Mellon University , 1988. Diploma of Engineering, Electrical and Computer Engineering, National Technical University of Athens , 1987. Teaching Experience Professor, University of Minnesota , Fall 1992 - present. Teaching Assistant: Carnegie Mellon University , Spring 1989. Tutor: National Technical University of Athens , 1982 - 1987. Laboratories Center for Distributed Robotics . AI, Robotics and Vision Laboratory . Selected Papers Out of 80 Journal and 300 Conference Publications Zhang, D., Zhao, J., Zhang, F., Jiang, R., He, T., and Papanikolopoulos, N.P., "Last-Mile Transit Service with Urban Infrastructure Data ", ACM Trans. on Cyber-Physical Systems , 2017. Cherian, A., Morellas, V., and Papanikolopoulos, N.P., "Bayesian Nonparametric Clustering of Positive Definite Tensors ", IEEE Trans. on Pattern Analysis and Machine Intelligence , 2016. Sivalingam, R., Boley, D., Morellas, V., and Papanikolopoulos, N.P., "Tensor Dictionary Learning for Positive Definite Matrices ", IEEE Trans. on Image Processing , 2015. Cherian, A., Sra, S., Morellas, V., and Papanikolopoulos, N.P., "Efficient Nearest Neighbors via Robust Sparse Hashing", IEEE Trans. on Image Processing , 2014. Cherian, A., Sra, S., Banerjee, A., and Papanikolopoulos, N.P., "Jensen-Bregman LogDet Divergence with Application to Efficient Similarity Search for Covariance Matrices", IEEE Trans. on Pattern Analysis and Machine Intelligence , 2013. Somasundaram, G., Sivalingam, R., Morellas, V., and Papanikolopoulos, N.P., "Classification and Counting of Composite Objects in Traffic Scenes Using Global and Local Image Analysis", IEEE Transactions on Intelligent Transportation Systems , 2013. Joshi, A., Porikli, F., and Papanikolopoulos, N.P., "Scalable Active Learning for Multi-Class Image Classification", IEEE Transactions on Pattern Analysis and Machine Intelligence , 2012. Bird, N., and Papanikolopoulos, N.P., "Optimal Image-Based Euclidean Calibration of Structured Light Systems in General Scenes", IEEE Transactions on Automation Science and Engineering , 2011. Ribnick, E., and Papanikolopoulos, N.P., "3D Reconstruction of Periodic Motion from a Single View", International Journal of Computer Vision , Volume 90, No. 1, October 2010, pp 28-44. Atev, S., Miller, G., and Papanikolopoulos, N.P., "Clustering of Vehicle Trajectories", IEEE Transactions on Intelligent Transportation Systems , Volume 11, No. 2, September 2010, pp 647-657. Ribnick, E., Atev, S., and Papanikolopoulos, N.P., "Estimating 3D Positions and Velocities of Projectiles from Monocular Views", IEEE Transactions on Pattern Analysis and Machine Intelligence , Volume 31, No. 5, May 2009, pp 938-944. Joshi, A., and Papanikolopoulos, N.P., "Learning to Detect Moving Shadows in Dynamic Environments", IEEE Transactions on Pattern Analysis and Machine Intelligence , Volume 33, No. 11, November 2008, pp 2055-2063. Cannon, K., LaPoint-Anderson, M., Bird, N., Panciera, K., Veeraraghavan, H., Papanikolopoulos, N., and Gini, M., "Using Robots to Raise Interest in Technology Among Underrepresented Groups", IEEE Robotics and Automation Magazine , Volume 14, No. 2, June 2007, pp 73-81. Stoeter, S., and Papanikolopoulos, N.P., "Kinematic Motion Model for Jumping Scout Robots", IEEE Transactions on Robotics and Automation. Volume 22, No. 2, April 2006, pp 398-403. Stoeter, S., and Papanikolopoulos, N.P., "Autonomous Stair-Climbing with Miniature Jumping Robots", IEEE Transactions on Systems, Man, and Cybernetics: Part B. , Volume 35, No. 2, April 2005, pp 313-325. Dos Santos, C., Stoeter, S., Rybski, P., and Papanikolopoulos, N.P., "Panoramic Imaging for Miniature Robots", Robotics and Automation Magazine , Volume 11, No. 4, December 2004, pp 62-68. Perrin, D., Kadioglu, E., Stoeter, S., and Papanikolopoulos, N.P., "Grasping and Tracking Using Constant Curvature Dynamic Contours", International Journal of Robotics Research , Volume 22, No. 10-11, October 2003, pp 855-871. Masoud, O., and Papanikolopoulos, N.P., "A Method for Human Action Recognition", Image and Vision Computing , Volume 21, No. 8, 2003, pp. 729-743. Rybski, P., Stoeter, S., Gini, M., Hougen, D., and Papanikolopoulos, N.P., "Performance of a Distributed Robotic System Using Shared Communications Channels: A Framework for the Operation and Coordination of Multiple Miniature Robots", IEEE Transactions on Robotics and Automation , Volume 18, No. 5, October 2002, pp. 713-727. Rybski, P., Stoeter, S., Papanikolopoulos, N.P., Burt, I., Dahlin, T., Gini, M., Hougen, D., Krantz, D., and Nageotte, F., "Sharing Control: a Framework for the Operation and Coordination of Multiple Miniature Robots", IEEE Robotics and Automation Magazine , Volume 9, No. 4, 2002, pp. 41-48. Masoud, O., Papanikolopoulos, N.P., and Kwon, E., "The Use of Computer Vision in Monitoring Weaving Sections", IEEE Trans. on Intelligent Transportation Systems , Volume 2, No.1, March 2001, pp 18-25. Singh, R., and Papanikolopoulos, N. P., "Planar Shape Recognition by Shape Morphing", Pattern Recognition , Volume 33, No 10, October 2000, pp 1683-1699. Singh, R., Cherkassky, V., and Papanikolopoulos, N. P., "Self-Organizing Maps for the Skeletonization of Sparse Shapes", IEEE Transactions on Neural Networks , Volume 11, No 1, January 2000, pp 241-248. Pavlidis, I., Singh, R., and Papanikolopoulos, N. P., "On-Line Handwriting Recognition Using Physics-Based Shape Metamorphosis", Pattern Recognition, Volume 31, No 11, November 1998, pp 1589-1600. Smith, C., Brandt, S., and Papanikolopoulos, N.P., "Eye-in-Hand Robotic Tasks in Uncalibrated Environments", IEEE Transactions on Robotics and Automation, Volume 13, No 6, December 1997, pp 903-914. Richards, C., and Papanikolopoulos, N.P., "Detection and Tracking for Robotic Visual Servoing Systems", Robotics and Computer-Integrated Manufacturing, Volume 13, No 2, 1997, pp 101-120. Smith, C., Richards, C., Brandt, S., and Papanikolopoulos, N.P., "Visual Tracking for Intelligent Vehicle-Highway Systems", IEEE Transactions on Vehicular Technology, Volume 45, No 4, November 1996, pp 744-759. Couvignou, P., Papanikolopoulos, N.P., and Khosla, P.K., "Theory and Experiments in Model-Based Robotic Visual Servoing", Journal of Intelligent & Robotic Systems: Theory and Applications, Volume 17, No 2, October 1996, pp 195-221. Nelson, B., Papanikolopoulos, N.P., and Khosla, P.K., "Robotic Visual Servoing and Robotic Assembly Tasks", IEEE Robotics and Automation Magazine, Volume 3, No 2, June 1996, pp 23-31. Papanikolopoulos, N.P., Nelson, B., and Khosla, P.K., "Six Degree-of-Freedom Hand/Eye Visual Tracking with Uncertain Parameters", IEEE Transactions on Robotics and Automation, Volume 11, Number 5, October 1995, pp 725-732. Papanikolopoulos, N.P., "Selection of Features and Evaluation of Visual Measurements During Robotic Visual Servoing Tasks", Journal of Intelligent & Robotic Systems: Theory and Applications , Volume 13, August 1995, pp 279-304. Papanikolopoulos, N.P., and Khosla, P.K., "Adaptive Robotic Visual Tracking: Theory and Experiments", IEEE Transactions on Automatic Control, Volume 38, No 3, March 1993, pp 429-445. Papanikolopoulos, N.P., Khosla, P.K., and Kanade, T., "Visual Tracking of a Moving Target by a Camera Mounted on a Robot: A Combination of Control and Vision.", IEEE Transactions on Robotics and Automation, Volume 9, No 1, February 1993, pp 14-35. Selected Book Chapters Nelson, B., Papanikolopoulos, N.P., Khosla, P.K., "Visual Servoing for Robotic Assembly", Invited Chapter for the Book Visual Servoing-Automatic Control of Mechanical Systems with Visual Sensors, World Scientific Series in Robotics and Automated Systems, ed. K. Hashimoto, World Scientific Publishing, September 1993. Selected Grants (Total of more than $30M) " A Comprehensive System for Assessing Truck Parking Availability ", FHWA and MnDOT " RI: Small: Theory and Experiments with Tumbling Robots ", National Science Foundation " CDI-Type II: Computational Tools for Behavioral Analysis, Diagnosis, and Intervention of at Risk Children " (with G. Sapiro, K. Lim, A. Banerjee, and V. Morellas), National Science Foundation " Monitoring Human Activities at Mass Transit Sites " (with V. Morellas), Department of Homeland Security " Classification of Background Regions from Aerial Imagery " (with V. Morellas), Lockheed Martin " IUCRC Safety, Security, and Rescue Research Center (SSR-RC) " (with M. Gini, V. Isler, and S. Roumeliotis), National Science Foundation " MRI: Development of a New Generation of Miniature Search/Rescue Robots " (with M. Gini, J. Pearce, S. Roumeliotis, and G. Giannakis), National Science Foundation " Distributed Robotic Intelligent Behaviors " (with M. Gini), Architecture Technology Corporation (Prime: Air Force) " ITR: Multi-Robot Emergency Response " (with S. Roumeliotis, G. Giannakis, R. Voyles, B. Chen, and M. Gini), National Science Foundation "CISE Research Resources: Teams of Miniature Mobile Robots" (with M. Gini, D. Boley, and W. Durfee), National Science Foundation "NSF/USDOT Partnership for Exploratory Research - ICSST: Real-time Collision Warning at Traffic Intersections" (with R. Janardan), National Science Foundation/US Department of Transportation "Distributed Robotics Using Reconfigurable Robots", DARPA " ITR: Monitoring Human Activities ", National Science Foundation "CAREER: Eye-in-hand Robotic Systems", National Science Foundation "Performance Evaluation of ATR Systems", Honeywell, Inc. "McKnight Land-Grant Professorship Award", Graduate School, University of Minnesota "RIA: Model-Based Robotic Visual Servoing", National Science Foundation "Real-Time Servo Control Using Computer Vision", Department of Energy (Sandia Lab) "Real-Time Servo Control Using Computer Vision: Phase II", Department of Energy (Sandia Lab) "A Sensory System for Monitoring Safety in Work Zones", Mn\DOT "Automatic Detection of Driver Fatigue", Center for Transportation Studies "Pedestrian Control at Intersections", Mn\DOT "Vehicle-Following (Platooning) Using CCD Cameras" (with M. Gini), Mn\DOT "Bicycle Counter", Mn\DOT "Vehicle Navigation and Localization Using Multiple Navigation Aids" (with D. Boley), Mn\DOT "A Real-Time Vision System For Controlled Active Vision", Graduate School, University of Minnesota "CISE Research Instrumentation", (with M. Donath, M. Gini, and D. Boley), National Science Foundation "Using CCD Cameras for Obstacle Avoidance and Detection of Pedestrians", Center for Transportation Studies "Active Deformable Models and Robotic Visual Tracking", Graduate School, University of Minnesota, Faculty Research Fellowship(Summer Session I 1994) "Off-line Signature Recognition and Verification", Graduate School, University of Minnesota "Active Visual Observer", UROP Undergraduate Project Courses Taught "Algorithms and Data Structures II", CS-3322, CS-4041 "Computer Vision", CS-5561 "Artificial Intelligence I", CS-5511 "Introduction to Intelligent Robotic Systems", CS-5551 "Readings in Computational Vision", CS-8561 "Problems in Artificial Intelligence", CS-5599 "Intelligent Agents", CS-8551 Courses Introduced "Introduction to Intelligent Robotic Systems", CS-5551. Students William Beksi, Ph.D. Hyeun Jeong Min, Ph.D. Anoop Cherian, Ph.D. Michael Janssen, Ph.D. Guruprasad Somasundaram, Ph.D. Duc Fehr, Ph.D. Jon Andersh, Ph.D. Amer Agovic, Ph.D. Ravishankar Sivalingam, Ph.D. William Toczyski, Ph.D. Patrick Lau, Ph.D. (GRADUATED) Ioannis Pavlidis, Ph.D. (GRADUATED) Christopher Smith, Ph.D. (GRADUATED) Osama Masoud, Ph.D. (GRADUATED) Doug Perrin, Ph.D. (GRADUATED) Sascha Stoeter, Ph.D. (GRADUATED) Robert Bodor, Ph.D. (GRADUATED) Harini Veeraraghavan, Ph.D. (GRADUATED) Rahul Singh, Ph.D. (GRADUATED) Esra Kadioglu, Ph.D. (GRADUATED) Nathaniel Bird, Ph.D. (GRADUATED) Evan Ribnick, Ph.D. (GRADUATED) Andrew Drenner, Ph.D. (GRADUATED) Stefan Atev, Ph.D. (GRADUATED) Ajay Joshi, Ph.D. (GRADUATED) Brett Hemes, Ph.D. (GRADUATED) Scott Brandt, M.S. (GRADUATED) Yue Du, M.S. (GRADUATED) Marty Kenner, M.S. (GRADUATED) Richard Nelson, M.S. (GRADUATED) Charles Richards, M.S. (GRADUATED) Jianzhong Xu, M.S. (GRADUATED) Mike Sullivan, M.S. (GRADUATED) Singh Kaur Sarbjit, M.S. (GRADUATED) Brad Kratochvil, M.S. (GRADUATED) Martin Eriksson, M.S. (GRADUATED) Igor Chechelnitsky, M.S. (GRADUATED) Alex Ozerkovsky, M.S. (GRADUATED) Scott Rogers, M.S. (GRADUATED) Robert Martin, M.S. (GRADUATED) Ben Jackson, M.S. (GRADUATED) Honors McKnight Presidential Endowed Professor in CSE, 2016 - IEEE RAS George Saridis Leadership Award in Robotics and Automation, 2016 CTS Research Partnership Award, April 2016 A paper co-authored with Anoop Cherian (student), V. Morellas and Nikos Papanikolopoulos was winner for the Best Stuudent Paper Award, 2012 IEEE Int. Conference on Image processing (ICIP 2012), Orlando, October 2012 Distinguished Service Award, IEEE Robotics and Automation Society, 2011 Distinguished McKnight University Professorship Award, University of Minnesota, 2007 - IEEE Fellow A paper co-authored with G. Gasser, N. Bird, and O. Masoud was finalist for the Best Vision Paper Award, 2004 IEEE Int. Conference on Robotics and Automation, New Orleans, April 2004 IEEE VTS 2001 Best Land Transportation Paper Award for the paper "A Novel Method for Tracking and Counting Pedestrians in Real-Time Using a Single Camera" (with Osama Masoud) Best Video Award at the 2000 IEEE Robotics and Automation Conference Faculty Creativity Award, March 1999 McKnight Land-Grant Professorship Award, University of Minnesota, July 1995 - June 1997 Best Session Paper Presentation Award, American Control Conference, Seattle, June 1995 National Science Foundation Career Award, August 1995 - July 1998 National Science Foundation Research Initiation Award, August 1994 - July 1997 Finalist for the Anton Philips Award for Best Student Paper in the 1991 IEEE Robotics and Automation Conference Kritski Fellowship, Greece, September 1985 - August 1987 Professional General Chair for the 2012 ICRA Conference Vice President for Conferences, RAS, 2010-2014 IEEE Robotics and Automation Administrative Committee Member, 2000-2005 Program Chair for the 2006 ICRA Conference America Program Chair for the 2004 ICRA Conference General Vice Chair for the 2001 IROS Conference Publicity Chair for the 1998 IROS Conference Past Chairman of the IEEE Robot Vision Technical Committee (2000-2006) Member of the Technical Chamber of Greece IEEE Fellow Publicity Chair for the 1997 IEEE International Conference on Robotics and Automation (ICRA '97) Member of the program committee for the 1995, 1998, 1999, 2000, 2002, and 2003 IEEE/RSJ International Conferences on Intelligent Robots and Systems Local Arrangements Chair for 1996 IEEE International Conference on Robotics and Automation Member of the program committee of the 1994, 1995, 1997, 1998, 2000, 2001, 2002, 2003, and 2004 IEEE International Conferences on Robotics and Automation Organizer of an invited session at the 1994 IEEE Robotics and Automation Conference Guest Editor of a special issue on "Modelling Issues for Visual Sensing" of the Journal Mathematical and Computer Modelling. Primary Specialties Robotics Computer vision Intelligent Transportation Systems Sensor networks Sensor-based control in transportation applications Inspection Computer engineering Computer integrated manufacturing. diff --git a/src/data/compiled_bios/3282.txt b/src/data/compiled_bios/3282.txt new file mode 100644 index 0000000000..5029fb8ac9 --- /dev/null +++ b/src/data/compiled_bios/3282.txt @@ -0,0 +1 @@ + HYUN SOO PARK Assistant Professor Computer Science & Engineering University of Minnesota, Twin Cities Office 261 / Lab 232 Shepherd Laboratory (Gemini-Huntley Robotics Research Lab) hspark at umn.edu +1-612-301-1745 Office hour: Mon 4-5pm / Wed 5-6pm TEAM I am looking for a postdoctoral fellow. Jae Shin Yoon (PhD) Yasamin Jafarian (PhD) Zhixuan Yu (PhD) Yuan Yao (PhD, 3M Fellow) Jingfan Guo (PhD) Jayant Sharma (MS) Praneet Bala (MS) Prashanth Venkatesh (MS) To join my team: Stduents: please read my note . Postdocs: send me an email with your CV. TEACHING S2019: Computer Vision (CSci 5561) F2018: Elementray Computational Linear Algebra (CSci 2033) S2018: Multiview 3D Geometry in Computer Vision (CSci 5980) F2017: Elementray Computational Linear Algebra (CSci 2033) S2017: Multiview 3D Geometry in Computer Vision (CSci 5980/8980) OUTREACH UMN Visual Computing and AI seminar (VCAI) Tutorial: Multiview Camera System Tutorial: First Person Vision Tutorial: Group Behavior Analysis Workshop: Human Behavior Understanding NEWS Feb 2019: Receive NSF CAREER Award . Feb 2019: Give a talk at Department Seminar, Aerospace Engineering and Mechanics (UMN). Dec 2018: Give a talk on 3D Behavioral Imaging and Beyond at UMN Digital Technology Center (DTC). Dec 2018: Give a talk on 3D Behavioral Imaging and Beyond at STATS Chicago. Nov 2018: Force from Motion paper is accepted in TPAMI. Oct 2018: Give a talk on 3D Behavioral Imaging and Beyond at UMN CS Colloquium. Sep 2018: Large-scale humans-in-the-wild data collection using 114 multi-camera system and research demonstrations at Minnesota State Fair . May 2018: Receive Minnesota Futures Research Award with Prof. Hayden (Neuroscience). Apr 2018: Talk "Human Activity Computing from Inside-out and Outside-in Visual Data" at UMN IMA (Institute for Mathematics and its Applications). Mar 2018: Receive NSF CRII (CISE Research Initiation Initiative) Award . Mar 2018: Jae Shin's paper on Semantic Trajectory gets accepted to CVPR. Dec 2017: Imitation learning paper gets accepted to AAAI as an oral. Sep 2017: Talk "First Person Perception for Robotics" at UMN Center for Cognitive Science. Sep 2017: Talk "Learning from First Person Demonstrations" at nVidia research. Sep 2017: Talk "Learning from First Person Demonstrations" at JD.com research. Jul 2017: CVPR tutorial on "DIY: A Multiview Camera System" Jul 2017: 2 ICCV papers get accepted. Jun 2017: Talk "Learning from First Person Demonstrations" at Egocentric Vision: From Science to Real-World Applications Apr 2017: EgoNet paper gets accepted in RSS. Feb 2017: Shan's paper gets accepted to CVPR as a spotlight. Feb 2017: Talk "Learning from First Person Demonstrations" at GATECH. Jan 2017: Talk "Learning from First Person Demonstrations" at UMich. Jan 2017: Talk at Honeywell. SELECTED WORK Full Publication List 3D behavioral imaging system HUMBI dataset 1.0 Non-human species motion capture Semantic trajectory reconstruction Pantoptic studio Force from motion Social camera Social saliency prediction Future localization Joint attention Mocap with body-mounted cameras Event reconstruction diff --git a/src/data/compiled_bios/3283.txt b/src/data/compiled_bios/3283.txt new file mode 100644 index 0000000000..5e04aa56bd --- /dev/null +++ b/src/data/compiled_bios/3283.txt @@ -0,0 +1 @@ + 480 Digital Technology Center 117 Pleasant St SE, Minneapolis MN 55455 Email: fengqian (at) umn.edu Feng Qian {Home} News Publications CV Teaching Students Services Patents Misc I am looking for Ph.D. students with strong backgrounds in systems, mobile computing, AR/VR, networking, and system security. The starting date at UMN can be Spring 2019 or Fall 2019. Please contact me at fengqian (at) umn.edu with your CV and transcript. I am an assistant professor in the Computer Science and Engineering Department at University of Minnesota - Twin Cities . My research interests cover the broad areas of mobile systems, AR/VR, mobile networking (including 5G), wearable computing, real-world system measurements, and system security. I obtained my Ph.D. from University of Michigan , and my Bachelor degree from the ACM Honors Class at SJTU, China . Prior to joining UMN, I worked at AT&T Labs - Research and Indiana University - Bloomington . I am honored to receive several awards including the AT&T Key Contributor Award (KCA) (2014), NSF CRII Award (2016), Google Faculty Award (2016), ACM CoNEXT Best Paper Award (2016), AT&T VURI Award (2017), NSF CAREER Award (2018), and Indiana University Trustees Teaching Award (2018). My publication profile can be found at csrankings.org and Google Scholar with total citations of 3150+. I am also a co-inventor of 14 U.S. patents . I prototyped the ARO ( mobile Application Resource Optimizer ) tool based on our Mobisys 2011 paper. It was productized by AT&T. ARO is now open-sourced and widely used in industry. [ New in 2017 : ARO has been extended into the AT&T Video Optimizer , which adds analysis and best practices for mobile videos.] My on-going and past research includes: VR and AR [ AllThingsCellular16 ][ HotNets17 ][ HotMobile18 ][ MobiCom18 ] Wearable and IoT devices [ MobiSys17 ][ WearSys17 ][ IMC17 ] Mobile multipath transport [ CoNEXT15a ][ MobiCom16 ][ MobiCom17 ] Mobile video streaming [ CoNEXT16a ][ INFOCOM17 ][ ToN18 ][CoNEXT18] System Security and Privacy [ S&P17 ][ ICNP17 ][ NDSS18 ][ S&P19a ][S&P19b][UbiComp19] Web browsing [ Mobisys12a ][ Mobisys14 ][ CoNEXT15b ][ CoNEXT16b ][ WWW17 ] Optimizing smartphone app energy utilization [ ICNP10 ][ Mobisys11 ][ WWW12 ][ IMC15 ] Interplay between TCP and cellular networks [ SIGCOMM13 ][ CoNEXT13 ][ IMC16 ] 3G/LTE handset power model [ IMC10 ][ Mobisys12b ] Last update: October 2018 Home Top fengqian.org diff --git a/src/data/compiled_bios/3284.txt b/src/data/compiled_bios/3284.txt new file mode 100644 index 0000000000..15a9989813 --- /dev/null +++ b/src/data/compiled_bios/3284.txt @@ -0,0 +1 @@ + Stergios I. Roumeliotis Professor Dept. of Computer Science and Engineering University of Minnesota KHKH 5-189, 200 Union St. SE Minneapolis, MN 55455 Tel: (612) 626 7507 Fax: (612) 625 0572 Email: stergios@cs.umn.edu MARS Lab: http://mars.cs.umn.edu SHORT BIO Stergios I. Roumeliotis received the Diploma in Electrical Engineering from the National Technical University of Athens , Greece, in 1995, and the M.S. and Ph.D. degrees in Electrical Engineering from the University of Southern California , CA in 1999 and 2000 respectively. From 2000 to 2002 he was a Postdoctoral Fellow at the California Institute of Technology , CA. Between 2002 and 2013, he was first an Assistant and then an Associate Professor with the Department of Computer Science and Engineering , University of Minnesota , MN, where he is currently a Professor. From 2009 to 2014, S.I. Roumeliotis was the Associate Director for Research of the Digital Technology Center . His research interests include distributed estimation under processing and communication constraints, active sensing for reconfigurable networks of sensors, and vision-aided inertial navigation for space, aerial, and ground robots, as well as mobile devices. S.I. Roumeliotis, an IEEE Fellow (2016), is the recipient of the Guillermo E. Borja Award (2009), the National Science Foundation (NSF) Presidential Early Career Award for Scientists and Engineers ( PECASE ) (2008), the NSF CAREER award (2006), the McKnight Land-Grant Professorship award (2006-2008), the ICRA Best Reviewer award (2006), and he is the co-recipient of the One NASA Peer award (2006), and the One NASA Center Best award (2006). Papers he has co-authored have received the King-Sun Fu Best Paper Award of the IEEE Transactions on Robotics (2009), the Robotics Society of Japan Best Journal Paper award (2007), the ICASSP Best Student Paper award (2006), the NASA Tech Briefs award (2004), and four of them were finalists for the IROS Best Student Paper Award (2013), the RSS Best Paper Award (2009), the ICRA Best Student Paper Award (2009) and the IROS Best Paper Award (2006). S.I. Roumeliotis served as Associate Editor for the IEEE Transactions on Robotics between 2006 and 2010. NEWS & EVENTS Nov. 24 2015: Stergios Roumeliotis is elevated to IEEE Fellow (2016) for his contributions to Cooperative Localization and Visual-Inertial Navigation Feb. 20 2014: UMN's MARS Lab academic partner of Google ATAP Project Tango [Read more on The Verge , TechCrunch , CNET , Google ] Oct. 1 2013: New research award "NRI: Large: Collaborative Research: Human-robot Coordinated Manipulation and Transportation of Large Objects" Dec. 19 2008: White House News Anouncement, NSF Presidential Early Career Awards for Scientists and Engineers (PECASE) [ Press Release ] [ NSF link ] For more news and events, visit the MARS Lab website [ link ] [ NEW ] The MARS Lab YouTube channel PERSONAL ( link ) SELECTED RECENT JOURNAL PUBLICATIONS J.A. Hesch, D.G. Kottas, S.L. Bowman, and S.I. Roumeliotis, "Camera-IMU-based Localization: Observability Analysis and Consistency Improvement," International Journal of Robotics Research , 33(1), Jan. 2014, pp. 182-201 ( pdf ). X.S. Zhou and S.I. Roumeliotis, Determining 3D Relative Transformations for Any Combination of Range and Bearing Measurements, IEEE Transactions on Robotics , May 29(2), Apr. 2013, pp. 458-474 ( pdf ). G.P. Huang, A.I. Mourikis, and S.I. Roumeliotis, "A Quadratic-Complexity Observability-Constrained Unscented Kalman Filter for SLAM," IEEE Transactions on Robotics , 29(5), Apr. 2013, pp. 458-474 ( pdf ). F.M. Mirzaei, D.G. Kottas, and S.I. Roumeliotis, 3D Lidar-Camera Intrinsic and Extrinsic Calibration: Observability Analysis and Analytical Least Squares-based Initialization, International Journal of Robotics Research , Special Issue on Robot Vision, 31(4), Apr. 2012, pp. 452-467 ( pdf ). SELECTED RECENT CONFERENCE PUBLICATIONS E.D. Nerurkar, K.J. Wu, and S.I. Roumeliotis, "C-KLAM: Constrained Keyframe-Based Localization and Mapping," Workshop: Multi-View Geometry in Robotics, Robotics: Science and Systems (RSS'13), Berlin, Germany, June 24-28, 2013 ( pdf ). E.D. Nerurkar and S.I. Roumeliotis, "A Communication-Bandwidth-Aware Hybrid Estimation Framework for Multi-robot Cooperative Localization," In Proc. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'13), Tokyo, Japan, Nov. 3-7 2013 ( pdf ) [Best Student Paper Award Finalist] C.X. Guo and S.I. Roumeliotis, "IMU-RGBD Camera Navigation using Point and Plane Features," In Proc. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS'13), Tokyo, Japan, Nov. 3-7 2013 ( pdf ). D.G. Kottas and S.I Roumeliotis, "Exploiting Urban Scenes for Vision-aided Inertial Navigation," In Proc. Robotics: Science and Systemts (RSS'13), Berlin, Germany, June 24-28, 2013 ( pdf ). K.X. Zhou and S.I Roumeliotis, A Sparsity-aware QR Decomposition Algorithm for Efficient Cooperative Localization, In Proc. IEEE International Conference on Robotics and Automation (ICRA'12), Saint Paul, MN, May 14-18 2012, pp. 799-806 ( pdf ). F.M. Mirzaei and S.I. Roumeliotis, Optimal Estimation of Vanishing Points in a Manhattan World, In Proc. 13th International Conference on Computer Vision (ICCV'11), Barcelona, Spain, Nov. 6-13 2011, pp. 2454-2461 ( pdf ). J.A. Hesch and S.I. Roumeliotis, A Direct Least-Squares (DLS) Method for PnP, In Proc. 13th International Conference on Computer Vision (ICCV'11), Barcelona, Spain, Nov. 6-13 2011, pp. 383-390 ( pdf ). diff --git a/src/data/compiled_bios/3285.txt b/src/data/compiled_bios/3285.txt new file mode 100644 index 0000000000..c63391224f --- /dev/null +++ b/src/data/compiled_bios/3285.txt @@ -0,0 +1 @@ + Y o u s e f S a a d College of Science & Engineering Distinguished Professor Department of Computer Science and Engineering University of Minnesota Quick Links Research: - Research projects - Technical reports - Research team - Recent presentations Teaching related... - Current Teaching - Books - Recent Tutorials Software: - Software page - pARMS - ITSOL and ZITSOL - SPARSKIT General: - Vita, contact info - Travel schedule Info: Contact, cv, pers., .. Current travel schedule Technical reports Recent presentations Research My research interests include: Sparse matrix computations, parallel algorithms, eigenvalue problems, matrix methods in materials science; Linear algebra methods for data analysis. My technical reports can be accessed in the PDF format. They are listed by year. A bibtex file "saad.bib" is also available. Books Click Here for information on my books (1) "Numerical methods for eigenvalue problems", Manchester University Press, (1992) (2) "Iterative Methods for Sparse Linear Systems", WPS, (1996); and (3) The 2003 edition of this book from SIAM. A revised edition of the first book has been publised with SIAM (Classics edition) and is also available for downloads. Software Several software packages for solving linear systems are available online. Go to the Software page for additional details and links. Here are the most important ones: SPARSKIT A basic tool-kit for sparse matrix computations (Written in fortran 77). pARMS , parallel Algebraic Recursive Multilevel Solver (pARMS) ITSOL , Iterative Solution module (now includes Zitsol the complex variant). Other packages and links to existing packages can be found in the Software page. Teaching Here are the main courses I tought in the past few years: Computational Aspects of Matrix Theory (csci 5304); Elementary Computational Linear Algebra (csci 2033); Analysis of numerical algorithms (csci 5302); Sparse matrix computations (csci 8314) ; and Introduction to Parallel Computing (csci 5451). Lecture notes are generally posted on the Teaching web-site for the year when the course is taught. I also post recent tutorials given - generally on topics in numerical linear algebra. diff --git a/src/data/compiled_bios/3286.txt b/src/data/compiled_bios/3286.txt new file mode 100644 index 0000000000..9b197bbcb6 --- /dev/null +++ b/src/data/compiled_bios/3286.txt @@ -0,0 +1 @@ +Skip To... Skip To Main Content Nav Page Outline h1: Junaed Sattar h2: IRVLab Website Go to the U of M home page One Stop MyU : For Students, Faculty, and Staff Search search MENU menu Home Bio Students add For prospective students Teaching Junaed Sattar Computer Science and Engineering Home Bio Students For prospective students Teaching Junaed Sattar Welcome to Junaed Sattar's home at the University of Minnesota! I am an Assistant Professor of Robotics and HRI at the Department of Computer Science and Engineering, and the founding director of the Minnesota Interactive Robotics and Vision Laboratory . I am also an MNDrive RSAM ( Min nesota D iscovery, R esearch and I nno v ation E conomy-- R obotics, S ensors and A dvanced M anufacturing initiative) faculty. My primary research focus is on making robots work safely and intuitively with people, so humans and robot can coexist and collaborate. This means looking into improving a robot's perception about people, their intentions and/or actions, engaging in dialog, as well as the environment. Perceiving the world robustly, particularly under changing and degraded conditions is an open challenge; my research interest extends into multi-modal sensory perception. My past research has been heavily influenced by making robots work with humans in unstructured environments, particularly underwater, and current and work involves field robots in the air, water and outdoor, all-terrain platforms. If you are a prospective graduate student interested in robotics/HRI/field robotics /vision (any or all of these), please read this first. Click on these links to find a list of publications and an updated resume . For specific information about my research and teaching, please browse through the links or visit the IRVLab website . Share IRVLab Website Junaed is associated with the Department of Computer Science & Engineering , the College of Science & Engineering and the MNDriveRSAM Initiative . For Students, Faculty, and Staff One Stop MyU 2019 Regents of the University of Minnesota. All rights reserved. The University of Minnesota is an equal opportunity educator and employer. Privacy Statement Report Web Disability-Related Issue diff --git a/src/data/compiled_bios/3287.txt b/src/data/compiled_bios/3287.txt new file mode 100644 index 0000000000..b9d49345c5 --- /dev/null +++ b/src/data/compiled_bios/3287.txt @@ -0,0 +1 @@ + Shashi Shekhar McKnight Distinguished University Professor Distinguished University Teaching Professor Department of Computer Science College of Science and Engineering University of Minnesota shekhar at cs dot umn dot edu (612) 624-8307 :fax: (612) 625-0572 address: 4-192, Keller Hall , 200 Union St. S.E. , Minneapolis , MN 55455 more pictures ... Overview: Biography , Selected Highlights (22 pages pdf) , Entries at Google Scholar , DBLP . iUMN TLI . Experts@Minnesota . Arnetminer , Research: Interests: Spatial Databases, Data and Knowledge Engineering, Spatial Data Mining Spatial Computing Research Group , Big-Picture articles and papers Proposal Related Info. Selected Talks : From GPS, Google Maps and Uber to Spatial Computing , Spatial Big Data , Spatial Data Mining , Evacuation Route Planning , Survey Papers: Spatial Databases ( Wiley , TR ), Spatial Data Mining , Spatio-temporal Change Footprint Detection Book: Spatial Databases: A Tour (Prentice Hall 2003, ISBN 0-13-017480-7) : flyer Encyclopedia of GIS: Brochures ( 2nd Edition , 1st Edition , ), download_statistics ( 192,918 in 2017 Spinger report , current from bookMetrix ) website , reviews ( 1 , 2 ), Google Book ( About , Preview ), worldcat , Teaching: Fall 2018: Csci 5715: From GPS, Goolge Maps and Uber to Spatial Computing , Spring 2018: Csci 8715: Spatial Data Science Research Spring 2018: Csci 5708: Database Systems: Architecture and Implementation Old Portfolios Profile and Statement , Graduate Education Award , University of Minnesota, 2015. Remarks (14 slides) , 2015 UCGIS Education Award . Service: University Consortium for GIS (UCGIS) , President (2017-18), A UCGIS Call to Action: Bringing the Geospatial Perspective to Data Science Degrees and Curricula . (Summer 2018). Computing Research Association (CRA) - Board of Directors (2016-2019) CRA Computing Community Consortium : Council (2013-2015) , Blue Sky Ideas , From GPS and Virtual Globe to Spatial Computing ( brochure , report , blog entry on Cyber-Earth , ). The SSTD Endowment : Board of Directors (2014-2019) , 2011 Symposium on Spatial and Temporal Databases . Geo Informatica Journal: website , flyer ( 2017 , 2015 , 2008 , ), ranking , reviewer guidelines SpringerBriefs in GIS : pdf , , --> Other: Related Links Spatial Computing: overview from cse.umn.edu , article, video , Communications of the ACM (Jan. 2016). Eco-Routing: 2014 Interview , short video by M. Evans , project homepage , Spatio-temporal Data Mining: Stories ( 1 (SoundByte 2007) , 2 (SoundByte 2001) ), overview , survey paper , Evacuation Route Planning: Stories ( 1 , 2 , 3 , ), articles ( 1 , 2 , 3 , ), overview , videos ( FoxTV: youtube , avi , quicktime , umfoundation avi ), Social Networks- Spatio-temporal Future: overview , news ( 1 , 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , ), tweets ( 1 , ), whitepaper ( pdf ). --> The views and opinions expressed in this page are strictly those of the page author. The contents of this page have not been reviewed or approved by the University of Minnesota. For more information regarding the University's policy on publishing information on the world wide web, follow this link . diff --git a/src/data/compiled_bios/3288.txt b/src/data/compiled_bios/3288.txt new file mode 100644 index 0000000000..de3379f7a7 --- /dev/null +++ b/src/data/compiled_bios/3288.txt @@ -0,0 +1 @@ + Skip to main content Go to the U of M home page One Stop MyU : For Students, Faculty, and Staff search MENU Academics Undergraduate Undergraduate Overview Majors & Minors MBA MBA Overview Full-time MBA Part-Time MBA Online MBA Executive MBA - Minneapolis Executive MBA - China Executive MBA - Vienna Dual Degrees Specialty Masters Specialty Masters Overview Accountancy Business Analytics Business Taxation Finance Human Resources & Industrial Relations Supply Chain Management PhD - Business Admin PhD - Business Administration Overview Beyond the Classroom Education Abroad Experiential Learning Enterprise Programs Carlson Analytics Lab Student Organizations Incoming Exchange Students Academic Departments Accounting Finance Information & Decision Sciences Marketing Strategic Management & Entrepreneurship Supply Chain & Operations Work & Organizations Faculty & Research Faculty & PhD Directories Tenured/Tenure-Track Faculty Directory Full-Time Lecturer Directory PhD Student Directory Emeritus Faculty Directory Academic Departments Accounting Finance Information & Decision Sciences Marketing Strategic Management & Entrepreneurship Department Supply Chain & Operations Work & Organizations Faculty Research Search Faculty Research Research Facilities Discovery at Carlson Centers and Institutes Carlson Global Institute Center for Human Resources and Labor Studies Center for Integrative Leadership Gary S. 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All Programs Undergrad MBA Specialty Masters PhD Executive Education See Programs Results that Stand Out 96% of Full-Time MBA graduates received job offers 90 days after graduation (5-year average) #3 U.S. public university business faculty for intellectual contributions #15 "Best Undergraduate Business Programs Rankings" - U.S. News & World Report Carlson Advantage Get personal attention from the experts At the Carlson School, you'll get one-on-one attention from faculty ranked #3 for intellectual contributions in business among U.S public universities. Meet the Faculty Gain global perspective You'll build a global perspective at the Carlson School by fulfilling anInternational Experience, available for both Undergrad and Graduate students. These experiences are flexible,versatile, and built to take you where you want to go. Explore Education Abroad Carlson Advantage Our Purpose, Our Promise. 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All rights reserved. The University of Minnesota is an equal opportunity educator and employer. Privacy Statement Report Web Disability-Related Issue diff --git a/src/data/compiled_bios/3289.txt b/src/data/compiled_bios/3289.txt new file mode 100644 index 0000000000..e338079bad --- /dev/null +++ b/src/data/compiled_bios/3289.txt @@ -0,0 +1 @@ + Loren Terveen Professor Department of Computer Science and Engineering University of Minnesota 4-192 EE/CS Building 200 Union Street SE Minneapolis, MN 55455 terveen@cs.umn.edu +1 612 624-8310 You can follow me on twitter here . Honors and Major Roles ACM Distinguished Scientist (2009 - ) ACM SIGCHI President (2015 - 2018) ACM SIGCHI Vice President for Membership and Communications (2009 - 2012) Co-chair, 2002 Conference on Human Factors in Computing Systems (CHI 2002) Specialties Human-Computer Interaction Social Computing Recommender Systems Online Communities User Interface Design Graphical User Interfaces Location-Based Systems Web search and information management Click here for a complete C.V. in PDF format, current as of June 2015. Current Research I currently carry out research in two major areas: Theory-based design of online communities: applying theories from the social sciences to create new interaction techniques and algorithms that elicit more positive participation from community members. Geographically-based online communities: creating novel open content systems to support geographically-based communities of interest; Cyclopath is our routing and wiki-map system for bicyclists. The best way to find my publications is through a Google Scholar search . You can also find a list of all the publications from my research lab here . Professional / Consulting I hold 10 patents on a broad variety of topics in web search, information management, intelligent interfaces, and graphical user interfaces. I have consulted on a number of intellectual property cases on issues such as location-based advertising, context-sensitive advertising, intelligent web search, and graphical user interfaces. Professional references available on request. Teaching - Current and Recent Courses Spring 2010 CSci 8115 - Human-Computer Interaction & User Interface Technology Fall 2009 CSci 5115 - User Interface Design, Evaluation, and Implementation Spring 2009 CSci 5125 - Collaborative and Social Computing Spring 2009 SEng 5115 - GUI Design and Evaluation Fall 2008 CSci 5115 - User Interface Design, Evaluation, and Implementation Spring 2008 CSci 1902 - Structure of Computer Programming II diff --git a/src/data/compiled_bios/329.txt b/src/data/compiled_bios/329.txt new file mode 100644 index 0000000000..4c355c7183 --- /dev/null +++ b/src/data/compiled_bios/329.txt @@ -0,0 +1 @@ +Name: Chida, Anjum:: Position: Senior Lecturer:: Degrees: Ph.D., Computer Science, Georgia State University, 2012; M.S., Computer Science, Georgia State University, 2007; Bachelor of Computer Engineering, University of Madras, India; Research Interests: Machine Learning; Bioinformatics; Computational Biology; Major Honors and Awards: Georgia State 2CI Fellowship for year 2011 for excellence in bioinformatics research.; Molecular Bases for Disease Fellowship for years 2007, 2008, 2009 &2010.; Representative Publications: Anjum Chida, R. W. Harrison and Y.-Q. Zhang, Enhanced Encoding with Improved Fuzzy Decision Tree Testing Using CASP Templates, Special Issue on Bioinformatics, IEEE Computational Intelligence Magazine, vol. 8, no. 4, pp. 55-60, 2012.; Anjum Chida (A. Reyaz-Ahmed), R. W. Harrison and Y.-Q. Zhang, Protein Model Assessment via Machine Learning Techniques, International Journal of Functional Informatics and Personalized Medicine, 2011.; Anjum Chida (A. Reyaz-Ahmed), N. Abu-halaweh, W. Harrison and Y.-Q. Zhang, Protein Model Assessment via Improved Fuzzy Decision Tree, Proc. of BIOCOMP 2010, Las Vegas, July 12-15, 2010. URL:; Anjum Chida (A. Reyaz-Ahmed), R. W. Harrison and Y.-Q. Zhang, 3D Protein Model Assessment Using Geometric and Biological Features, Proceedings of SEDM 2010, Chengdu, June 23-25, 2010. URL:; Anjum Chida (A. Reyaz-Ahmed), Y.-Q. Zhang, and R. W. Harrison, Granular Decision Tree and Evolutionary Neural SVM for Protein Secondary Structure Prediction, International Journal of Computational Intelligence Systems, v.2, n.2, p.343-352, Dec. 2009.; diff --git a/src/data/compiled_bios/3290.txt b/src/data/compiled_bios/3290.txt new file mode 100644 index 0000000000..f713b1d393 --- /dev/null +++ b/src/data/compiled_bios/3290.txt @@ -0,0 +1 @@ + Anand Tripathi Professor Department of Computer Science & Engineering University of Minnesota Minneapolis MN 55455 tripathi@umn.edu 612-625-9515 612-625-0572 (fax) For more detailed information about my current and past research projects please visit Distributed Systems Researcha Projects Office : EECS Building Room 5-205 Mailing Addres s: EECS Building Room 4-192 200 Union Street SE Department of Computer Science University of Minnesota Minneapolis MN 55455 Education: Ph.D. (Electrical Engineering) 1980 University of Texas at Austin M.S. (Electrical Engineering) 1978 University of Texas at Austin B. Tech (Electrical Engineering) 1972 Indian Institute of Technology, Bombay Professional Experience : Professor, University of Minnesota, Computer Science Dept., 2001 -- Present Associate Professor., University of Minnesota, Computer Science Dept., 1990- 2001 Program Director, Operating Systems and Systems Software Program, CCR/CISE, National Science Foundation , July 1995- August 1997. Assistant Professor, University of Minnesota, Computer Science Dept., 1984-1990. Senior Principal Research Scientist, Corporate Computer Science Center, Honeywell Inc., 1983-84. Principal Research Scientist, Corporate Computer Science Center, Honeywell Inc., 1981-83. Scientific Officer, Bhabha Atomic Research Center, Bombay, India, 1972-75. Professional Affiliations and Service Activities: Elected Fellow of IEEE for contributions to distributed systems software architectures and programming models (January 2008) Member of ACM Member of the Editorial Board of IEEE Transactions on Dependable and Secure Computing (2018-present) Member of the Editorial Board of Elsevier Journal on Pervasive and Mobile Computing (2005-2007) Program Chair for 43rd International Conference on Parallel Processing ( ICPP'2014) , Minneapolis in September 2014. Program Chair for IEEE International Conference on Pervasive Computing and Communications (PerCom), March 2004. Program Chair for IEEE 20th Symposium on Reliable Distributed Systems (SRDS 2001) October 2001 At-large member of the IEEE Computer Society Publications Board (2002-2005) Pr ogram Vice Chair for IEEE nternational Conference on Pervasive Computing and Communications (PerCom), March 2003. Member of the Editorial Board of IEEE Transactions on Computers (2002-2006) Member of the Editorial Board of Elsevier Journal on Pervasive and Mobile Computing (2005-2007) Member of the Editorial Board of IEEE Pervasive Computing (2001-2009) Member of the Editorial Board of IEEE DS Online (2000-2008) Program Chair for IEEE Workshop on Mobile Distributed Computing (2003) Co-organizer (with Alexander Romanovski, Christopher Dony, and Jorgen Knudsen) of ECOOP Workshops on Advacnes in Exception Handling Techniques (2000, 2003, 2005) Co-organizer (with Roy Campbell, Liviu Iftode, and Kishore Ramachandran) of ICSE'07 Workshop on Software Engineering for Pervasive Computing Applications, Systems, and Environments (SEPCASE), May 2007, Minneapolis Co-organizer (with Mehmer Aksit and Raju Pandey) ACM OOPSLA Workshop on Mobile Agents and Autonomous Objects, October 2000 Teaching Schedule: Fall 2017 CSci 4061 - Introduction to Operating Systems Spring 2018: CSci 5103 - Operating Systems CSci 8980 - Advanced Topics in Distributed Systems Research Interests: Reliable and Secure Distributed Systems Scalable Transaction Management in Cloud Computing Environments Parallel Programming Models for Graph Problems -- Beehive framework for graph data analytics Autonomically Scalable and Resilient Services Programming Models for Robust and Secure Context-Aware Applications Location Based Services and Publish/Subscribe Models Mobile Agent Based Monitoring of Network Systems Re search website: http://ajanta.cs.umn.edu Selected Recent Publications: " Incremental Parallel Computing for Continuous Queries in Dynamic Graphs using a Transactional Model, " Anand Tripathi, Rahul R. Sharma, Manu Khandelwa, Tanmay Mehta, Varun Pandey, to appear in Concurrency and Computation: Practice and Experience "Design of a Location-based Publish/Subscribe Service usinga Graph-based Computation Model," Anand Tripathi and Henry Hoang, in Proceedings of IEEE 2nd International Conference on Collaboration and Internet Computing, 2017. "A Transactional Model for Parallel Programming of Graph Applications on Computing Clusters, " Anand Tripathi, Vinit Padhye, Tara Sasank Sunkara, Jeremy Tucker, BhagavathiDhass Thirunavukarasu, Varun Pandey, Rahul R. Sharma, IEEE CLOUD 2017. "Incremental Parallel Computing using Transactional Model in Large-scale Dynamic Graph Structures," Anand Tripathi, Rahul R. Sharma, Manu Khandelwa, Tanmay Mehta, Varun Pandey, in the International Workshop on Big Graph Processing ( BGP ) 2017, in conjunction with ICDCS-2017 Atlanta, GA. "A Transaction Model with Multilevel Consistency for Shared Data in Distributed Groupware Systems," Anand Tripathi, in Proceedings of IEEE 2nd International Conference on Collaboration and Internet Computing, 2016. " Scalable Transaction Management for Partially Replicated Data in Cloud Computing Environments," Anand Tripathi and Gowtham Rajappan, in Proceedings of IEEE 9th International Conference on Cloud Computing, 2016. (Best Paper Award) "A Transaction Model for Management of Replicated Data with Multiple Consistency Levels," Anand Tripathi and BhagavathiDhass Thirunavukarasu, in Proceedings of the IEEE Intl. Conference on Big Data, 2015. "Scalable Transaction Management with Snapshot Isolation for NoSQL Data Storage Systems," Vinit Padhye and Anand Tripathi, IEEE Transactions on Services Computing. (Jan-Feb 2015) "Transaction Management with Causal Snapshot Isolation in Partially Replicated Databases," Vinit Padhye, Gowtham Rajappan and Anand Tripathi, in IEEE Symposium on Reliable Distributed Systems (SRDS'2014). "Beehive: A Framework for Graph Data Analytics on Cloud Computing Platoforms ," Anand Tripathi, Vinit Padhye, Tara Sasank Sunkara, in Seventh International Workshop on Parallel Programming Models and Systems Software for High-End Computing, held in conjuncton with 2014 International Conference on Parallel Processing (ICPP'2014). "Scalable Transaction Management with Snapshot Isolation for NoSQL Data Storage Systems," Vinit Padhye and Anand Tripathi, to appear in IEEE Transactions on Services Computing. "Resource Availability Characteristics and Node Selection in Cooperatively Shared Computing Platform," Vinit Padhye and Anand Tripathi, IEEE Transactions on Parallel and Distributed Systems, 2013. "Scalable Transaction Management with Snapshot Isolation on Cloud Data Management Systems," Vinit Padhye and Anand Tripathi, IEEE International Conference on Cloud Computing, 2012, "Mechanisms for Building Autonomically Scalable Services on Cooperatively Shared Computing Platforms," Vinit Padhye and Anand Tripathi, in Software Practice and Experience. 2013 Causally Coordinated Snapshot Isolation for Geographically Replicated Data, Vinit Padhye and Anand Tripathi, in IEEE Symposium on Reliable Distributed Systems (SRDS'2012). "Scalable Transaction Management with Snapshot Isolation on Cloud Data Management Systems," Vinit Padhye and Anand Tripathi, IEEE International Conference on Cloud Computing, 2012 [Pre-publication version PDF] "Building Autonomically Scalable Services on Wide-Area Shared Computing Platforms," Vinit Padhye and Anand Tripathi, IEEE International Symposium on Network Computing and Applications, August 2011 [BibTex Entry] "A Generative Programming Framework for Context-Aware CSCW Applications," Devdatta Kulkarni, Tanvir Ahmed, Anand Tripathi to appear in ACM Transactions on Software Engineering and Methodology (ACM TOSEM). [BibTex Entry] Semantics Based Object Caching in Distributed Systems , John Eberhard and Anand Tripathi, In IEEE Transactions on Parallel and Distributed Systems, Volume 21, Number 12, pages 1750-1764, December, 2010. [BibTex Entry] " Security Policies in Distributed CSCW and Workflow Systems ," Tanvir Ahmed and Anand Tripathi. In IEEE Transactions on Systems, Man, and Cybernetics -- Part A: Systems and Humans, Volume 40, Number 6, November 2010. [BibTex Entry] "A Framework for Programming Robust Context-Aware Application," Devdatta Kulkarni and Anand Tripathi, in IEEE Transactions on Software Engineering}, March 2010. [BibTex Entry] "Resource-Aware Migratory Services in Wide-Area Shared Computing Environments" Anand Tripathi, Vinit Padhye, and Devdatta Kulkarni, IEEE Symposium on Reliable Distributed Systems (SRDS'2009). [10 pages] [BibTex Entry] "Application-level Recovery Mechanisms for Context-Aware Pervasive Computing," Devdatta Kulkarni and Anand Tripathi, IEEE Symposium on Reliable Distributed Systems (SRDS'2008). [PDF] [10 pages] [BibTex Entry] "Context-Aware Role-based Access Control in Pervasive Computing Systems," Devdatta Kulkarni and Anand Tripathi, in Proceedings of the 13th ACM Symposium on Access control Models and Technologies (SACMAT'2008), pages 113-122, June 2008. [PDF] [10 pages] [BibTex Entry] "Building Context-Aware Healthcare Applications using a Generative Programming Framework , " Devdatta Kulkarni and Anand Tripathi. Workshop on Software and Systems for Medical Devices and Services. In conjunction with IEEE Real-Time Systems Symposium (RTSS) 2007. [ PDF ] [4 pages] "Specification and Verification of Security Requirements in a Programming Model for Decentralized CSCW Systems , " Tanvir Ahmed, Anand R. Tripathi, ACM Transactions on Information and System Security (TISSEC), May 2007. [ [ PDF ] [34 pages] [BibTex Entry] "Mechanisms for object caching in distributed applications using Java RMI," John Eberhard , Anand Tripathi, Software Practice and Experience, Volume 37 No. 9, pp. 799-831, November 2006. [ PDF ] [32 pages] [ BibTex Entry ] "Generative Programming Approach for Building Pervasive Computing Applications" , Devdatta Kulkarni and Anand Tripathi. First Workshop of Software Engineering of Pervasive Computing Applications, Systems, and Environments (SEPCASE'07), ICSE 2007, Minneapolis [ PDF ] [4 pages] [ BibTex Entry ] "Autonomic Configuration and Recovery in a Mobile Agent Based Distributed Event Monitoring System" , Anand Tripathi, Devdatta Kulkarni, Harsha Talkad, Muralidhar Koka, Sandeep Karanth, Tanvir Ahmed, and Ivan Osipkov. Software - Practice Experience. 37(5) (2007) 493-522. [ PDF ] [30 pages] [ BibTex Entry ] "Exception Handling in CSCW Applications in Pervasive Computing Environments" , Anand Tripathi, Devdatta Kulkarni and Tanvir Ahmed. Advanced Topics in Exception Handling Techniques. Volume 4119., Springer LNCS (2006) 161-180 [ PDF ] [20 pages] [ BibTex Entry ] "Object-Based Commutativity Analysis for Real-Time Applications," John Eberhard and Anand Tripathi, Tenth IEEE International Workshop on Object-oriented Real-time Dependable Systems (WORDS 2005), 2005, Sedona Arizona. [ BibTex Entry ] "Policy-Driven Configuration and Management of Agent Based Distributed Systems" , Anand Tripathi, Devdatta Kulkarni and Tanvir Ahmed. In SELMAS'05 at ICSE'05 [ PDF ] [7 pages] [ BibTex Entry ] "A Specification Model for Context-based Collaborative Applications" , Anand Tripathi, Devdatta Kulkarni and Tanvir Ahmed. In Pervasive and Mobile Computing (PMC) Journal, Vol. 1, Issue 1, Pg: 21-42 [ PDF ] [22 pages] [ BibTex Entry ] "The Guardian Model and Primitives for Exception Handling in Distributed Systems," Robert Miller and Anand Tripathi, in IEEE Transactions on Software Engineering, Volume 30 , Issue 12, Pages: 1008 - 1022 (December 2004). [ BibTex Entry ] "Robustness and Security in a Mobile-Agent based Network Monitoring System," Anand Tripathi, Muralidhar Koka, Sandeep Karanth, Ivan Osipkov, Harsha Talkad, Tanvir Ahmed, David Johnson and Scott Dier, Proceedings of the International Conference on Autonomic Computing (ICAC-04) }, pages 320-321, May 2004. [ PDF ] [8 pages] [ BibTex Entry ] "Context-Based Secure Resource Access in Pervasive Computing Environments", by Anand Tripathi, Tanvir Ahmed, Devdatta Kulkarni, Richa Kumar, and Komal Kashiramka. In 1st IEEE International Workshop on Pervasive Computing and Communications Security(IEEE PerSec'04) [ PDF ] [5 pages] [ BibTex Entry ] "Static Verification of Security Requirements in Role Based CSCW Systems", by Tanvir Ahmed and Anand R. Tripathi. In 8th ACM Symposium on Access Control Models and Technologies (SACMAT 2003), 196--203, June, 2003. [ PDF ] [8 pages] [ BibTex Entry ] "Specification of Secure Distributed Collaboration Systems", by Anand Tripathi, Tanvir Ahmed, and Richa Kumar. In Proceedings of International Symposium on Autonomous Distributed Systems (ISADS 2003), 149--156, April 2003. [ PDF ] [8 pages] [ BibTex Entry ] Security in the Ajanta Mobile Agent System", by Neeran Karnik and Anand Tripathi, Technical Report, Department of Computer Science, University of Minnesota, May 1999. [ Postscript ] [28 pages] "Ajanta -- A Mobile Agent Programming System" , by Anand Tripathi, Neeran Karnik, Manish Vora, Tanvir Ahmed, and Ram D. Singh. Revised version of Technical Report #TR98-016, Department of Computer Science, University of Minnesota, April 1999. [ Postscript ] [32 pages] "Mobile Agent Programming in Ajanta", by Anand Tripathi, Neeran Karnik, Manish Vora, Tanvir Ahmed and Ram Singh. In Proceedings of the 19th International Confernce on Distributed Computing Systems (ICDCS '99) [ Postscript ] [8 pages] "Agent Server Architecture for the Ajanta Mobile-Agent System", by Neeran Karnik and Anand Tripathi. In Proceedings of the 1998 International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA'98), Las Vegas, July 1998. [ Postscript ] "Protected Resource Access for Mobile Agent-based Distributed Computing", by Anand Tripathi and Neeran Karnik. In Proceedings of the ICPP workshop on Wireless Networking and Mobile Computing, Minneapolis, August 1998. "Design Issues in Mobile Agent Programming Systems", by Neeran Karnik and Anand Tripathi. IEEE Concurrency, July-Sep 1998 pp 52-61. " Issues with Exception Handling in Object-Oriented Systems ," Postscript file ( 18 pages) Authors: Robert Miller and Anand Tripathi, European Conference on Object-Oriented Programming, (ECOOP), June 1997. " Design of an RPC System for Object-Oriented Distributed Programming ," Anand Tripathi and Terence Noonan, Software - Practice & Experience " Trends in Multiprocessor and Distributed Operating System Designs , " Anand Tripathi and Neeran Karnik, Journal of Supercomputing in June 1995 diff --git a/src/data/compiled_bios/3291.txt b/src/data/compiled_bios/3291.txt new file mode 100644 index 0000000000..6ba7a0b5b6 --- /dev/null +++ b/src/data/compiled_bios/3291.txt @@ -0,0 +1 @@ + Tweets by @ericvanwyk Eric Van Wyk Associate Professor Department of Computer Science and Engineering University of Minnesota 4-192 Keller Hall 200 SE Union Street Minneapolis, MN 55455, USA Office hours: MWF 2:25pm - 3:25pm Contact: evw@umn.edu, +1 612 625 0329, Office: 6-203 Keller Hall (map) Research Interests My primary research interests are in programming languages, especially extensible languages. Of special interest are declarative specifications of languages and language tools. More information is available on my group's web page: Minnesota Extensible Language Tools . In investigating extensible languages and compilers we have developed two systems for the design and implementation of languages. The first is Silver, an attribute grammar specification language (and its supporting tools) that allows for the highly-modular specification of languages. The second is Copper, an integrated parser and context-aware scanner generator. Context aware scanners use information from the parser to be more discriminating in the tokens they return. This often simplifies the grammar as tokens don't need to be overloaded and used in multiple contexts. This turns out to be quite useful in extensible language specification. More information about Silver and Copper, including papers, documentation, and downloads can be found on the Silver web page and the Copper web page . Publications can be found here . Research Opportunities I am always looking for motivated students with an interest in programming languages. If you are interested in the mix of theoretical and practical work that often occurs in research in programming languages then please get in contact with me. Teaching I teach courses on programming languages, compilers, and principles of programming, most recently CSci 2041: Advanced Programming Principles, Fall 2014, Spring 2017, Spring 2018, Spring 2019. CSci 5106: Programming Languages, Fall 2013, Fall 2015, Fall 2016, Fall 2018 CSci 5161: Introduction to Compilers, Spring 2015, Spring 2019 CSci 5980/8980: Topics in Functional Programming, Spring 2016 Recent Service General Chair: 17th International Conference on Generative Programming: Concepts & Experiences. Founding Steering Committee Member: ACM SIGPLAN International Conference on Software Language Engineering Vice Chair: IFIP Working Group 2.11: Program Generation. General Chair: 6th International Conference on Software Language Engineering (SLE 2013). Program Committee Chair/Co-chair: International Workshop on Languages Descriptions, Tools, and Applications (LDTA 2011). Co-chair with Claus Brabrand. First International Conference on Software Language Engineering (SLE 2008) . Co-chair with Dragan Gasevic. Program Committees: European Conference on Object Oriented Programming (ECOOP 2016). External Review Committee member. Workshop on Partial Evaluation and Program Manipulation (PEPM 2016). 3rd International Workshop on The Globalization of Modeling Languages (GEMOC 2015). Onward! Conference. Co-located with OOPSLA at SPLASH (Onward! 2015). 7th International Conference on Software Language Engineering (SLE 2014). ACM Workshop on Partial Evaluation and Program Manipulation (PEPM 2014). ACM SIGAda Conference on High Integrity Languages Technology (HILT 2013). 5th International Conference on Software Language Engineering (SLE 2012). ACM SIGAda Conference on High Integrity Languages Technology (HILT 2012). ACM Workshop on Partial Evaluation and Program Manipulation (PEPM 2012). About me Positions held: Associate Professor, Dept. of Computer Science and Engineering , University of Minnesota , Aug. 2008 - present ; Assistant Professor, Dept. of Computer Science and Engineering , University of Minnesota , Jan. 2002 - Aug. 2008; Post Doctoral Researcher, Computing Laboratory , University of Oxford , Jan. 1999 - Dec. 2001; Education: Ph.D., Computer Science at The University of Iowa , 1998; M.S., Computer Science, University of Iowa, 1991; B.A.. Computer Science & Mathematics, Luther College , 1989. diff --git a/src/data/compiled_bios/3292.txt b/src/data/compiled_bios/3292.txt new file mode 100644 index 0000000000..ea06298f9f --- /dev/null +++ b/src/data/compiled_bios/3292.txt @@ -0,0 +1 @@ + Jon Weissman Professor of Computer Science Dept. of Computer Science and Engineering University of Minnesota, Twin Cities 4-192 Keller Hall 200 Union St. S.E. Minneapolis , MN 55455 Office : 4-225F Keller Hall Labs: 4-225D Keller Hall, 2-217 Keller Hall Phone: (612) 626-0044; Fax: (612) 625-0572 Email: jon->cs,umn,edu My bio is here . Research My research is in the broad area of distributed systems and high performance computing. My particular interest lies in supporting multi-platform applications at the middleware and systems-levels. I am working predominantly on Cloud Computing, Mobile Computing, and HPC, developing techniques to improve performance, reliability, and energy efficiency. Our research activities are outlined here . I am looking for strong and motivated Ph.D. students. Publications are here . Courses I Teach CSci 2021:Computer Organization and Architecture CSci 4061: Introduction to Operating Systems CSci 8980: Distributed Network Services: A Systems View CSci 4131: Internet Programming CSci 5131: Advanced Internet Programming CSci 8101: Advanced Operating Systems CSci 4211: Introduction to Computer Networks CSci 5103: Operating Systems CSci 5105: Introduction to Distributed Systems Education Ph.D. (1995), Computer Science , University of Virginia M.S. (1989), Computer Science , University of Virginia B.S. (1984), Applied Mathematics and Computer Science , Carnegie-Mellon University Recent Professional Service Conference Leadership: HPDC International ACM/IEEE Symposium on High-Performance Parallel and Distributed Computing, Steering Committee Chair Editorships: TPDS IEEE Transactions on Parallel and Distributed Systems, Associate Editor TC IEEE Transactions on Computers, Associate Editor Consulting Activities I have consulted on a range of technical/legal projects including expert analysis, patent examination, intellectual property, and industrial projects, in the area of Internet applications, mobile computing, distributed systems, and the cloud. Professional references available upon request. Personal Girls Claire Candy Scotland Newest Lily Hannah and Claire Hannah and Claire and Lily diff --git a/src/data/compiled_bios/3293.txt b/src/data/compiled_bios/3293.txt new file mode 100644 index 0000000000..7d46804024 --- /dev/null +++ b/src/data/compiled_bios/3293.txt @@ -0,0 +1 @@ + Steven Wu Assistant Professor Computer Science & Engineering Department University of Minnesota Email: zsw [at] umn.edu 6-225E Keller Hall 200 Union Street SE Minneapolis, MN 55455 My name is Zhiwei Steven Wu. I am an Assistant Professor at the University of Minnesota in the Computer Science & Engineering Department . I spent a year as a post-doctoral researcher at Microsoft Research-New York City . Before that, I received my PhD in Computer Science from the University of Pennsylvania , where I was extremely fortunate to have been co-advised by Michael Kearns and Aaron Roth . I am broadly interested in algorithms and machine learning, especially in the areas of privacy-preserving data analysis, fairness in machine learning, and algorithmic economics. My CV can be found here . I am currently looking for self-motivated and mathematically mature PhD students! News Feb, 2019 - I won the J.P. Morgan Faculty Research Award! Jan, 2019 - I am in Berkeley for the Simons Institute Semester on Data Privacy ! Jan, 2019 - One paper accepted at WWW'19. December, 2018 - With Haiyi Zhu, we received the Facebook Research Award on Mechanism Design for Social Good! October, 2018 - One paper accepted at FAT*'19. September, 2018 - Our paper on a smoothed analysis of the greedy algorithm for the linear contextual bandit problem was accepted for a spotlight at NIPS'18. July, 2018 - I will be serving as a Statistic/ML track chair at FAT* 2019 . Submit your best work! Manuscripts (Unless specified otherwise, authors are listed in alphabetical order.) Equal Opportunity in Online Classification with Partial Feedback with Yahav Bechavod , Katrina Ligett , Aaron Roth and Bo Waggoner Manuscript [arXiv] How to Use Heuristics for Differential Privacy with Seth Neel and Aaron Roth Manuscript [arXiv] Locally Private Gaussian Estimation with Matthew Joseph , Janardhan Kulkarni and Jieming Mao Manuscript [arXiv] Incentivizing Exploration with Unbiased Histories with Nicole Immorlica , Jieming Mao , and Alex Slivkins Manuscript [arXiv] Orthogonal Random Forest for Heterogeneous Treatment Effect Estimation with Miruna Oprescu and Vasilis Syrgkanis Manuscript [arXiv] [github] Locally Private Bayesian Inference for Count Models Aaron Schein , Z. S. W. , Xanda Schofield , Mingyuan Zhou , and Hanna Wallach (contributional order) Manuscript [arXiv] Privacy-Preserving Generative Deep Neural Networks Support Clinical Data Sharing Brett Beaulieu-Jones , Z. S. W. , Chris Williams and Casey S. Greene (contributional order) Manuscript [bioRxiv] [github] Publications Bayesian Exploration with Heterogeneous Agents with Nicole Immorlica , Jieming Mao , and Alex Slivkins The Web Conference 2019 (WWW 2019) [Coming soon] An Empirical Study of Rich Subgroup Fairness for Machine Learning with Michael Kearns , Seth Neel and Aaron Roth The Second Annual ACM Conference on Fairness, Accountability, and Transparency (FAT* 2019) [arXiv] [github] A Smoothed Analysis of the Greedy Algorithm for the Linear Contextual Bandit Problem with Sampath Kannan , Jamie Morgenstern , Aaron Roth and Bo Waggoner The Thirty-Second Conference on Neural Information Processing Systems (NeurIPS'18 w/ Spotlight) [arXiv] Preventing Fairness Gerrymandering: Auditing and Learning for Subgroup Fairness with Michael Kearns , Seth Neel and Aaron Roth The 35th International Conference on Machine Learning (ICML'18) [arXiv] [Penn News Coverage] [blog post by Aaron] [tcs+ talk by Michael] Semiparametric Contextual Bandits Akshay Krishnamurthy , Z. S. W. , and Vasilis Syrgkanis (contributional order) The 35th International Conference on Machine Learning (ICML'18) [arXiv] The Externalities of Exploration and How Data Diversity Helps Exploitation with Manish Raghavan , Alex Slivkins and Jenn Wortman Vaughan The 31st Annual Conference on Learning Theory (COLT'18) [arXiv] Strategic Classification from Revealed Preferences with Jinshuo Dong , Aaron Roth , Zachary Schutzman and Bo Waggoner The 19th ACM conference on Economics and Computation (EC18) [arXiv] Competing Bandits: Learning under Competition with Yishay Mansour and Alex Slivkins The 9th Innovations in Theoretical Computer Science (ITCS'18) [arXiv] [YouTube] Accuracy First: Selecting a Differential Privacy Level for Accuracy-Constrained ERM with Katrina Ligett , Seth Neel , Aaron Roth and Bo Waggoner The Thirty-First Annual Conference on Neural Information Processing Systems (NIPS'17) [arXiv] [github] Meritocratic Fairness in Cross-Population Selection with Michael Kearns and Aaron Roth The 34th International Conference on Machine Learning (ICML'17) [proceeding] Predicting with Distributions with Michael Kearns The 30th Annual Conference on Learning Theory (COLT'17) [arXiv] Multidimensional Dynamic Pricing for Welfare Maximization with Aaron Roth , Alex Slivkins and Jonathan Ullman The 18th ACM Conference on Economics and Computation (EC'17) Invited to the special issue of TEAC [arXiv] [YouTube] Fairness Incentives for Myopic Agents with Sampath Kannan , Michael Kearns , Jamie Morgenstern , Mallesh Pai , Aaron Roth and Rakesh Vohra The 18th ACM Conference on Economics and Computation (EC'17) [arXiv] Learning from Rational Behavior: Predicting Solutions to Unknown Linear Programs with Shahin Jabbari , Ryan Rogers and Aaron Roth The Thirtieth Annual Conference on Neural Information Processing Systems (NIPS'16) [arXiv] Bayesian Exploration: Incentivizing Exploration in Bayesian Games with Yishay Mansour , Alex Slivkins and Vasilis Syrgkanis The 17th ACM Conference on Economics and Computation (EC'16) Invited to the special issue of TEAC (declined) [arXiv] Private Algorithms for the Protected in Social Network Search with Michael Kearns , Aaron Roth and Grigory Yaroslavtsev In Proceedings of the National Academy of Sciences (PNAS), 2016 [PNAS Link] [arXiv] [Press Coverage: Quartz , Pacific Standard , and Naked Scientist ] Watch and Learn: Optimizing from Revealed Preferences Feedback with Aaron Roth and Jonathan Ullman The 48th ACM Symposium on Theory of Computing (STOC'16) [arXiv] [slides] [sigecom exchanges] Adaptive Learning with Robust Generalization Guarantees with Rachel Cummings , Katrina Ligett , Kobbi Nissim and Aaron Roth The 29th Annual Conference on Learning Theory (COLT'16) [arXiv] Logarithmic Query Complexity for Approximate Nash Computation in Large Games with Paul Goldberg and Francisco J. Marmolejo Cossio The 9th International Symposium on Algorithmic Game Theory (SAGT'16) In the TOCS special issue for selected papers from SAGT 2016 [Springer link] [arXiv] Coordination Complexity: Small Information Coordinating Large Populations with Rachel Cummings , Katrina Ligett , Jaikumar Radhakrishnan and Aaron Roth The 7th Innovations in Theoretical Computer Science (ITCS'16) [arXiv] Jointly Private Convex Programming with Justin Hsu , Zhiyi Huang and Aaron Roth The 27th ACM-SIAM Symposium on Discrete Algorithms (SODA'16) [arXiv] [poster] Privacy and Truthful Equilibrium Selection for Aggregative Games with Rachel Cummings , Michael Kearns and Aaron Roth The 11th Conference on Web and Internet Economics (WINE'15) [arXiv] [poster] Inducing Approximately Optimal Flow Using Truthful Mediators with Ryan Rogers , Aaron Roth and Jonathan Ullman The 16th ACM Conference on Economics and Computation (EC'15) [arXiv] [slides] [poster] Accuracy for Sale: Aggregating Data with a Variance Constraint with Rachel Cummings , Katrina Ligett , Aaron Roth and Juba Ziani The 6th Innovations in Theoretical Computer Science (ITCS'15) [Proceeding] Approximately Stable, School Optimal, and Student-Truthful Many-to-One Matchings (via Differential Privacy) with Sampath Kannan , Jamie Morgenstern and Aaron Roth The 26th ACM-SIAM Symposium on Discrete Algorithms (SODA'15) [arXiv] [Blog post by Lipton and Regan] Dual Query: Practical Private Query Release for High Dimensional Data with Marco Gaboardi , Emilio Jess Gallego Arias , Justin Hsu and Aaron Roth The 31st International Conference on Machine Learning (ICML'14) In the special issue of Journal of Privacy and Confidentiality, 2016 [arXiv] [pdf] [talk] [code] [poster] Private Matchings and Allocations with Justin Hsu , Zhiyi Huang , Aaron Roth and Tim Roughgarden The 46th ACM Symposium on Theory of Computing (STOC'14) SIAM Journal on Computing, 45(6):19531984, 2016. [arXiv] [pdf] Teaching Fall 2018: The Algorithmic Foundations of Data Privacy . Services Program Committees: EC 2019, FAT* 2019 (track co-chair), AAAI 2019, NPSML4H18, EC 2018, ICML 2018, WWW 2018, ICML 2017 During my undergraduate, I was involved in Bard Prison Initiative and serving as a math tutor in New York Eastern Correctional Facility. diff --git a/src/data/compiled_bios/3294.txt b/src/data/compiled_bios/3294.txt new file mode 100644 index 0000000000..e99f951b2b --- /dev/null +++ b/src/data/compiled_bios/3294.txt @@ -0,0 +1 @@ + Lana Yarosh Lana's musings on Human-Computer Interaction Search Main menu Skip to primary content Home Blog Selected Publications Work With Me Contact Me About Me [ Short CV ] [ Full CV ] [ Google Scholar Profile ] [ High Resolution Photo ] [ Contact Information ] Short Bio: Svetlana Lana Yarosh is an Assistant Professor in the Computer Science & Engineering Department at University of Minnesota . Her research in HCI focuses on embodied interaction in social computing systems. Lana is currently most proud of getting both the NSF CRII and the NSF CAREER awards, of her best papers at CHI 2013 and CSWC 2014 , and of receiving the McKnight Land Grant Professorship . Lana hastwo Bachelors of Science from University of Maryland (in Computer Science and Psychology), a Ph.D. in Human-Centered Computing from Georgia Institute of Technology , and two years of industry research experience with AT&T Labs Research . My News: Nov 6th: My students and I presented FIVE (!!) papers at CSCW 2018 ! June 21st: Our paper on speech and kids received the Best Paper Award at IDC! May 30th: Upcoming summer travel: FCA meeting , IDC conference , HCI consortium . Hope to see and catch up with some folks there! Apr 5th: Check out this article about my Google FRA! Mar 3rd: I gave a keynote talk at InfoSocial 2018 Feb 21st: I received a Google Faculty Research Award Dec 8th: I received a Mozilla Awards Research Grant Nov 29th: I was on a segment on iQ SmartParent on WQED Sept 15th: My student received the Best Demo Award at UbiComp 2017 Aug 18th: I gave a talk at TEDxMinneapolis: see it on YouTube Aug 7th: My students and I had FOUR papers accepted to CSCW 2018! Jun 13th: Our paper received a Best Paper Award at DIS 2017 Apr 21st: I got accepted to the ACM Future of Computing Academy ! Mar 13th: My students paper on matchmaking technologies in conservative cultures has been accepted to DIS 2017 Feb 1st: I have received the NSF CAREER award ! Feb 1st: I have received the McKnight Land Grant Professorship Jan 16th: JMIR paper on participatory design of positive computing technologies with children is now live! Share this: Facebook 3 Reddit Twitter Google Proudly powered by WordPress diff --git a/src/data/compiled_bios/3295.txt b/src/data/compiled_bios/3295.txt new file mode 100644 index 0000000000..0e8a3cced8 --- /dev/null +++ b/src/data/compiled_bios/3295.txt @@ -0,0 +1 @@ + Pen-Chung Yew Professor Department of Computer Science and Engineering University of Minnesota at Twin Cities 4-192 Keller Hall 200 Union Street, SE Minneapolis, MN 55455, USA Contact: {at} cs [dot] umn [dot] edu Education Ph.D. 1981 University of Illinois at Urbana-Champaign, Computer Science. M.S. 1977 University of Massachusetts at Amherst, Computer Engineering B.S.1972 National Taiwan University, Electrical Engineering Current Research Interests My research interests include computerarchitectureandcompilers targeting futuregenerations of high-performance and low-power multi- and many-core systems.Areas of focus include: system virtualization and dynamic binary translation, high-performance memorysystems, parallel program debugging and testing, and parallel simulation techniques for many-core systems. Recent Publications (Last 5 years, updated 3/1/2018) Dynamic Binary Translation (DBT) and System Virtualization W. Wang, S. McCamant , A. Zhai , P.C. Yew, Enhancing DBT Performance Through Automatically Learned Translation Rules , 23 rd ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), March 2018 W. Wang, J. Wu, T. Li, X. Gong, P.C. Yew, Improving Dynamically-Generated Code Performance on Dynamic Binary Translator , Proc. of 14th Int'l Conf. on Virtual Execution Environments (VEE), March 2018 W. Wang, P.C. Yew, A. Zhai , S. McCamant , Y. Wu, J. Bobba , Enabling Cross-ISA Offloading for COTS Binaries , The 15 th ACM International Conf. on Mobile, Systems, Applications, and Services ( MobiSys ), June 2017 W. Wang, A. Zhai and P.C. Yew, A General Persistent Code Caching Framework for Dynamic Binary Translation , Proc. of the 2016 USENIX Annual Technical Conference (ATC), June 2016 Y.H. Lu, D.Y. Hong, T.Y. Wu, J.J. Wu, P. Liu, W.C. Hsu, and P.C. Yew, DBILL: An Efficient and Retargetable Dynamic Binary Instrumentation Framework using LLVM Backend , Proc. of 10th Int'l Conf. on Virtual Execution Environments (VEE), March 2014 C.R. Chang, J.J. Wu, P. Liu, W.C. Hsu, and P.C. Yew, Efficient Memory Virtualization for Cross-ISA System Mode Emulation , Proc. of 10th Int'l Conf. on Virtual Execution Environments (VEE), March 2014 D.Y. Hong, J.J. Wu, P.C. Yew, W.C. Hsu, C.C. Hsu, P. Liu, C.M. Wang and Y.C. Chung, Efficient and Retargetable Dynamic Binary Translation on Multicores , IEEE Transactions on Parallel and Distributed Systems (TPDS), March 2014 C.C. Hsu, J.J. Wu, P.C. Yew, D.Y. Hong, C.M. Wang, and W.C. Hsu, Improving Dynamic Binary Optimization Through Early-Exit Guided Code Region Formation , 9th Int'l Conf on Virtual Execution Environments (VEE), March 2013 Compiler Optimization S. Mehta and P.C. Yew, Variable Liberalization , ACM Transactions on Architecture and Code Optimization (TACO), Vol. 13, Issue 3, September 2016 S. Mehta, R. Garg, N. Trivedi and P.C. Yew, TurboTiling : Leveraging Prefetching to Boost Performance of Tiled Codes , Proc. of the 2016 Int't Conf. on Supercomputing (ICS), June 2016. S. Mehta and P.C. Yew, Improving Compiler Scalability: Optimizing Programs at Small Price , Proc. of ACM SIGPLAN Intl Conf. on Programming Languages Design and Implementation (PLDI), June 2015 S. Mehta, Z. Fang, A. Zhai and P.C. Yew, Multistage Coordinated Prefetching for Present-Day Processors , Proc. of the 2014 Int't Conf. on Supercomputing (ICS), June 2014 S. Mehta, P.H. Lin, and P.C. Yew, Revisiting Loop Fusion in the Polyhedral Framework , Proc. of ACM SIGPLAN 19 th Annual Symp . on Principles and Practice of Parallel Programming ( Ppopp ), February 2014 S. Mehta, G. Beeraka and P.C. Yew, Tile Size Selection Revisited , ACM Transactions on Architecture and Code Optimization (TACO), Vol. 10, No. 4, 2013 L. Gao, L. Li, J.L. Xue and P.C. Yew, SEED: A Statically-Greedy and Dynamically-Adaptive Approach for Speculative Loop Execution , IEEE Transaction on Computers (TC), Vol. 62, No. 5, May 2013 Parallel Program Debugging and Testing C. Wu, Z. Wang, X. Yuan, Z. Wang, L. Li, P. C. Yew, J. Huang, X. Feng, Y. Lan, Y. Chen, Y. Lai, Y. Guan, Using Local Clocks to Reproduce Concurrency Bug s, IEEE Trans. on Software Engineering (TSE), to appear in 2018. L. Zhong , W. Hou , X. Feng, Z. Zhang, P.C. Yew, RARE: An Efficient Static Fault Detection Framework for Definition-Use Faults in Large Programs , IEEE Access, to appear in 2018 X. Yuan, C. Wu, Z. Wang, J. Li, X. Feng, P.C. Yew, Y. Lan, Y. Chen, J. Huang, Y. Guan, Reproducing Concurrency Bugs using Local Clock s, Proc. of Int'l Conf. on Software Engineering (ICSE), May, 2015 W. Wang, C. Wu, P.C. Yew, X. Shen, X. Yuan, Z. Wang, J. Li, X. Feng, Concurrency Bugs Localization Using Shared Memory Access Pairs , 29 th IEEE/ACM International Conference on Automated Software Engineering (ASE), September 2014 X. Yuan, C. Wu, P.C. Yew, W. Wang, Z. Wang, J. Li and D. Xu, Synchronization Identification through On-the-Fly Test , Proc. of 2013 Euro-Par Conference (Euro-Par), August 2013 Computer Architectures W. Zhang, X., Ji, Y. Lu, H. Wang, H. Chen, P.C. Yew, Prophet: A Parallel Instruction-Oriented Many-Core Simulator , IEEE Transactions on Parallel and Distributed Systems (TPDS), Vol. 28, Issue 10, October 2017. W. Zhang, X. Ji, S. Yu, H. Chen, T. Li and P.C. Yew, VarCatcher : A Framework for Tackling Performance Variability of Parallel Workloads on Multicores , IEEE Transactions on Parallel and Distributed Systems (TPDS), April 2017 Z. Fang, S. Mehta, P.C. Yew, A. Zhai , J. Greensky , G. Beeraka , B. Zang , Measuring Micro- architectural Details of Multi- and Many-core Memory Systems Through Micro-benchmarking , ACM Transactions on Architecture and Code Optimization (TACO), Vol.11, Issue 4, January 2015. F. Lv , L. Liu, M.H. Cui, L. Wang, Y. Liu, X. Feng, P.C. Yew, WiseThrottling : A New Asynchronous Task Scheduler for Mitigating I/O Bottleneck in Large-Scale Datacenter Servers , J. of Supercomputing, 2015 C.J. Chang, Y.C. Peng, C.C. Chen, T.F. Chen and P.C. Yew , Adaptive Granularity and Coordinated Management for Timely Prefetching in Multi- core Systems, 2015 International Symposium on VLSI Design, Automation and Test (VLSI-DAT) , May 28 2015 A. Holey, V. Mekkat , P.C. Yew, A. Zhai , Performance-Energy Considerations for Shared Cache Management in a Heterogeneous Multicore Processor , ACM Transactions on Architecture and Code Optimization (TACO), Vol 12, Issue 1, March 2015. C. Wu, J. Li, D. Xu, P.C. Yew, J. Li, and Z. Wang, FPS: A Fair-progress Process Scheduling Policy on Shared-Memory Multiprocessors , IEEE Transactions on Parallel and Distributed Systems (TPDS), Vol. 26, No. 2, February 2015, pp. 444-454 F. Lv , H.M. Cui, L. Wang, L. Liu, C.G. Wu, X.B. Feng and P.C. Yew, Dynamic I/O-Aware Scheduling for Batch-Mode Applications on Chip Multiprocessor Systems of Cluster Platform , J. of Computer Science and Technology (JCSE), 29(1): 21-37, 2014 C.F. Chen, C.C. Chen, et al, DAPs: Dynamic Adjustment and Partial Sampling for Multithreaded/Multicore Simulation , Proc. of 51th International Design Automation Conference (DAC), June 2014 S.H. Chen, S.M. Lin, K.Y. Chen, Y.H. Chang, P.C. Yew, C.C. Ho, A Systematic Methodology for OS Benchmarks Characterizatio n, Proc. of ACM Intl Conf. on Reliable and Convergent Systems (RACS), October 2013 V. Mekkat , A. Holey, P.C. Yew and A. Zhai , Managing Last-Level Cache in a Heterogeneous Multicore Processor , Proc. of Int'l Conf. on Parallel Architectures and Compiler Techniques (PACT) , September 2013. Complete Publication List ( UMN Experts Page ) Professional Activities PhD Students diff --git a/src/data/compiled_bios/3296.txt b/src/data/compiled_bios/3296.txt new file mode 100644 index 0000000000..61679b3db7 --- /dev/null +++ b/src/data/compiled_bios/3296.txt @@ -0,0 +1 @@ + Antonia Bingheng Zhai Antonia Zhai Associate Professor Department of Computer Science and Engineering University of Minnesota Physical Addresses Virtual Addresses 4-192 EE/CSci Building Voice: (612) 626-1285 200 Union Street SE FAX: (612) 625-0572 Minneapolis, MN 55455 Email: zhai at cs dot umn dot edu Office: 6-205 EE/CSci Building WWW: http://www.cs.umn.edu/~zhai Bio/CV Publications Students Teaching Seminars diff --git a/src/data/compiled_bios/3297.txt b/src/data/compiled_bios/3297.txt new file mode 100644 index 0000000000..47b6d7371c --- /dev/null +++ b/src/data/compiled_bios/3297.txt @@ -0,0 +1 @@ + Zhi-Li Zhang Qwest Chair Professor and McKnight Distinguished University Professor Department of Computer Science and Engineering University of Minnesota 4-192 Keller Hall 200 Union Street SE Minneapolis, MN 55416 Associate Director for Research, Digital Technology Center Digital Technology Center 499 Walter Library 117 Pleasant Street SE Minneapolis, MN 55455 Office: Keller Hall 6-187 and DTC 489 (where I spend most of my time these days) Phone: (612) 625-8568; Skype id: zhzhang612 Fax: (612) 625-0572 E-mail: zhzhang (at) cs (dot) umn (dot) edu (For faster response, please email me instead of leaving a voice mail!) Links:[ awards ], [ teaching ], [ research ], [ publications ], [ students ], [ professional services ], [ resume ], [short bio] Zhi-Li joined the Department of Computer Science and Engineering at University of Minnesota in January 1997, where he is now a Full Professor. He received his M.S. and Ph.D. degrees in computer science from the University of Massachusetts, Amherst in 1992 and 1997 (Ph.D thesis advisors, Profs. Don Towsley and Jim Kurose . Zhi-Li graduated with B.S. in Computer Science with highest distinction from Nanjing University , Nanjing, China. After his B.S. from Nanjing University, China, he was awarded a highly selective fellowship from the Chinese National Committee for Education for graduate study in Europe, and studied at the Computer Science Department, rhus University , Denmark. Zhi-Li is a Fellow of IEEE. Awards and Honors Best Paper Award, ACM SIGCOMM 1st Asia-Pacific Workshop on Networking (APNET'17), 2017) Best Paper Award, SIMPLEX (2015) Best Paper Award, CNERT (2014) McKnight Distinguished University Professor (2013) Best Paper Award, RAID (2013) IEEE Fellow (2011) Best Paper Award, IEEE INFOCOM (2010) Qwest Chair Professorship (2007) IBM Faculty Partnership Award (2006 and 2007) College of Sciences and Engineering George Tayor Distinguished Research Award (2005) Miller Visiting Professor, Miller Institute for Basic Sciences , University of California, Berkeley (2004) McKnight Land-Grant Professor , University of Minnesota (2000-2002) National Science Foundation CAREER Award (1998) Best Paper Award, IEEE International Conference on Internet Protocol (ICNP'02) (2002) Best Paper Award for Best Integration of Theory and Practice, ACM SIGMETRICS (1996) Teaching Spring 2018: Introduction to Computer Networks (csci4211) Fall 2017: Advanced Computer Networks and Applications (Basic Architecture, Mechanisms and Research Issues in Emerging SDN Paradigm) (csci8211) Spring 2014: Foundations of Advanced Networking (csci5221) Fall 2013: Introduction to Computer Networks (csci4211) Spring 2013: Foundations of Advanced Networking (csci5221) Spring 2011: Foundations of Advanced Networking (csci5221) Fall 2010/Spring 2011: Introduction to Research in Computer Science I and II (csci8001/csci8002) Fall 2010: (undergraduate-level) Introduction to Computer Networks (csci4211) Spring 2010: Advanced Computer Networks and Applications (csci8211) Research Firs of all, I am always looking for self-motivated, creative and hard-working graduate and undergradtaue students (and also post-docs, when funding is available) to work with us on a number of research projects. If you are interested, please email me with the Subject line: "Interested in Ph.D (or MS, or undergraduate, or Post-Doc) Research Opportunities" , together with a short description of your background and research interests/experiences and a CV. Now a bit more about my research: My research interests lie broadly in computer communication and networks, Internet technology, multimedia and emerging applications. While my past research was centered on the analysis, design and development of scalable Internet QoS solutions to support performance-demanding multimedia applications, my current research thrusts focus primarily on i) building highly scalable, resilient and secure Internet infrastructure and mechanisms to enhance Internet service performance, availability, reliability, manageability and security; and on ii) developing next-generation, service-oriented, secure, manageable and economically viable Internet architectures to provide better support for creation, deployment, operations and management of value-added Internet services (e.g., large-scale mobile, cloud services and content (esp. video) delivery systems) and underlying networks. I am also interested in complex networks, social network analysis, robustness of critical infrastructure networks, and the interplay between socio-technical networks. Some of the ongoing research projects include: Diverse and Resilient Routing Beyond Paths (NSF project) Exerting Logically Centralized Control over Legacy Switches via Incremental SDN Deployment (NSF Project) Complex Interactions in the Content Distribution Ecosystem (Joint NSF Funded Large Project with UMASS, Amherst) Accelerating Service Function Chain via Parallelism (in collaboration with AT&T Labs -- Research) Modeling and Analysis of Large-scale Cascading Failures in Inter-Dependent Physical Networks via Dynamic Flow Models A list of select funded projects in the recent past, many of the research topics we are still pursuing: Multivariate Heavy-Tail Phenomena: Modeling, Diagnosis and Applications (a DoD MURI Collaborative Research Project) Understanding, Managing, Trouble-Shooting and Securing the Evolving Cellular Data Networks Spatio-Temporal Network Traffic Dynamics and Interactions of Networks and Applications VIRO: Highly Scalable, Robust and Namespace Independent Routing for Future Networks Network Traffic Intelligence, with Network Security Applications (in collaboration with Narus Inc.) Towards a Theory of Network Robustness and Inter-dependence under Attacks Machine Learning in Network Measurement and Trouble-shooting (in collaboration with AT&T Labs -- Research) focusing in particular on "Trouble-shooting Large-scale 3G Cellular Network Infrastructures" Progammable and Versatile Measurement Infrastructure for Future Internet Architecture Economic Viability of Future Internet Architectures A Framework for Manageability in Future Routing Systems Internet Traffic Profiling and Modeling, with Applications in Network Security and Management Toward a Service-Oriented Internet (SOI) Architecture --- in this research we were among the first to propose the notion of "(service) clouds," (in a sense, a forerunner of today's cloud computing and cloud services ), and proposed a novel service-oriented architecture with content/object-centric naming/addressing that targets specifically for effective and efficient cloud service discovery and content/object delivery (see our 2003 conference and 2006 IEICE inivted papers on service-oriented Internet (SOI) architecture). Wireless Mesh and Mobile Ad Hoc Networks Internet Quality of Service and Multimedia Networking I am leading the Networking Research Group . Here is a list of my ( not yet completely updated ) publications; You can find my most recent publications on my Google scholar page . Students Current Ph.D students who are working with me ( incomplete list): Bariya (Paris) Babaie Braulio Dumba Xinyue Hu Taihui Li Arvind Narayanan Eman Ramadan Tim Salo Feng Tian Nitin Varyani Saurabh Verma Yang Zhang Past Ph.D students who I advised or co-advised: Vijay Kumar Adhikari (Ph.D 2013, now with Microsoft Azure) Yingying Chen (Ph.D 2013, now with Microsoft Azure) Jin Cheng (Ph.D 2018, now with Facebook) Changho Choi (Ph.D 2007, now with Samsung Sillicon Valley Research Labs, CA; was with Cisco) Jaideep Chandrashekar (Ph.D 2005, now at the Technicolor Research Lab, Paris, France; was at Intel Research, Santa Clara and Berkeley Lab) Baek-Young Choi (Ph.D 2003, now Associate Professor at University of Missouri, Kansas City) Yingfei Dong (Ph.D 2003, now Full Professor at University of Hawaii) Zhenhai Duan (Ph.D 2003, now Associate Professor at Florida State University) Eric Eilertson (Ph.D 2007, co-advised with Prof. Vipin Kumar, Institute for Defense Analyses) Golshan Golnari (Ph.D 2017, now with 3M Inc.) Nan Jiang (Ph.D 2013, now at Uber, was at Amazon Inc.) Yu Jin (Ph.D 2011, now at Turn Inc.; was at AT&T Labs) Sourabh Jain (Ph.D 2011, now at Google; was at Instart Logic and Cisco) Sanghwan Lee (Ph.D 2005, now Assistant Professor at Kookmin University, Korea; was with IBM T.J Watson Research Center) Yanhua Li (Ph.D 2013, now at Worcester Polytechnic Institute) Haiyang Liu (Ph.D 2007, co-advised with Prof. Jaideep Srivastava, Honeywell Technology Labs) Guor-Huar Lu (Ph.D 2008, now at 3M, was with FAF Advisors/US Bank) Hesham Mekky (Ph.D 2016, now with Snapchat Inc.) Srihari Nelakuditi (Ph.D 2001, now Full Professor at University of South Carolina) Esam Sharafuddin (Ph.D 2011, now at Robins, Kaplan, Miller & Ciresi L.L.P. Law Firm) Gyan Ranjan (Ph.D 2013, now at Symmantec) Gyorgy Simon (Ph.D 2008, co-advised with Prof. Vipin Kumar, now at University of Minnesota, was with Mayo Clinic;Yahoo! Research) Sejun Song (Ph.D 2001, now Associate Professor at University of Missouri, Kansas City; was with Texas A&M University, Wichita State University and Cisco) Srivatsan Varadarajan (Ph.D 2004, co-advised with Prof. Jaideep Srivastava, now at Honeywell) Kuai Xu (Ph.D 2006, now Associate Professor at Arizona State University; was with Yahoo!) Yinzhe Yu (Ph.D 2005, now at Microsoft) Ting Zhu (Ph.D 2010, co-advised with Prof. Tian He, now Associate Professor at University of Maryland, Baltimore County; was with SUNY Binghamton University) Current and Past Visiting Scholars, Visiting Students and Post-Doc Fellows: Lei Chen (Tongji University, Shanghai, China) Zehua Guo (post-doc fellow) Dingde Jiang (Northeastern University, Shengyang, China) Sanghwan Lee (Kookmin University, Korea) Zhenhua Li (Peking University, China; now at Tsinghua University) Tao Lin (Institute of Computing, Chinese Academy of Science) Ngoc Tu Nguyen (post-doc fellow) Xiuli Shao (Nankai University, Tianjin, China) Mingda Wang (University of Electronic Science and Technology of China) Jiping Xiong (Zhejiang Normal University, China) Zhongliu Zhong ( University of Electronic Science and Technology of China) I am also working with -- and have worked with -- a number of talented M.S. graduate students as well as several undergraduate students on various research projects/topics. Recent Professional Services I am an Associate Editor for the ACM Transactions on Modeling and Performance Evaluation of Computing Systems ( TOMPECS ) and on the Advisory Board of Proceedings of ACM Series on Measurement and Analysis of Computing Systems (PACM MACS). I have also served on the Editorial Boards for the Springer Journal of Computational Social Networks, and Journal of Computer Sicience and Technology (JCST) published by the Chinese Academy of Natural Sciences. I was an Associate Editor for IEEE/ACM Transactions on Networking (2001 -- 2009), and has also served on the Editorial Board of Computer Networks in the past (2001-2004). I have served on the Technical Program Committees of various conferences and workshops including ACM SIGCOMM, ACM SIGMETRICS, ACM MobiHoc, WWW, CoNext, ACM/USENIX IMC, IEEE INFOCOM, IEEE ICNP, IEEE Global Internet, IWQoS, ACM SIGCOMM Workshopn on Mining Network Data (MineNet) (2005-2006), ACM SIGMM, and numerous other conferences/workshops. I was Technical Program Committee co-chair for the ACM SIGMETRICS 2017, IEEE International Conference on Network Protocols 2013 (ICNP'13), IFIP Networking Conference 2013, ACM/USENIX Internet Measurement Conference 2008 (IMC'08), the IEEE INFOCOM'06 conference and IEEE/IFIP IWQoS'04. I also served as a Vice Co-Chair for IEEE ICDCS'13, chaired the track for "Crowd Sourcing and Social Networks" or co-chaired the "Software Infrastructure and Their Performance, Scalability and Availability" track for WWW 2013. I served on the Steering Committee of IEEE IWQoS conference and ACM Sigmetrics HotMetrics Workshop, and have also served on the Executive Committee for IEEE INFOCOM (2001, 2003, and 2006). Narus Fellow since 2007 ( Narus -- acquired by Symmantec -- is a proven pioneer in cyber security data analytics for enterprises, carriers, and governments around the world) I served on the Scientific Board of IMDEA Networks (a European Research Center in Telematics) from 2007-2010. I am a member of ACM and IEEE, and a Fellow of IEEE. Locations of Visitors diff --git a/src/data/compiled_bios/3298.txt b/src/data/compiled_bios/3298.txt new file mode 100644 index 0000000000..748ee84f51 --- /dev/null +++ b/src/data/compiled_bios/3298.txt @@ -0,0 +1 @@ + UMN VIP Visual Information Processing Lab Home People Research Publications Teaching Jobs Contact Catherine Qi Zhao Assistant Professor Department of Computer Science and Engineering University of Minnesota Office: Keller 6-189 Phone: (612) 301-2115 Email: qzhao at cs.umn.edu My research is in the areas of computer vision, machine learning, computational neuroscience, and healthcare. In particular, I am interested in providing theoretical foundations and computational innovations in computer vision, inventing new machine learning methods inspired by many AI problems including vision, brain sciences, and medical sciences, and building intelligent systems that leverage both artificial and human intelligence. My recent focus includes understanding neural networks and developing networks and other AI techniques for emerging applications in healthcare and brain science, for example, to understand and identify neurodevelopmental disorders with visual behaviors, and to decode human motor intention with amputee patients based on peripheral nerve neural recordings. News our work on shallowing deep neural networks is out. [pdf] I will be an AC for WACV 2019, CVPR 2019, and IJCAI 2019. our work on emotion and attention is out. [project page] we received an NSF SHF grant (With Chris Kim and Sachin Sapatnekar) to develop time-based deep neural networks. we are organizing the 3rd LSUN Saliency Challenge , in conjuection with CVPR 2017. the new book I edited is out! -- it provides an overview of vision from various perspectives, ranging from neuroscience to cognition, and from computational principles to engineering. our work on autism photo is out in Current Biology . I joined the University of Minnesota Twin Cities as an assistant professor. commentary about our autism work appears in Neuron ! press release at Business Insider , Huffington Post , MedicalXpress , Daily Mail , Futurity , NUS , and Caltech our work is on the cover of Neuron ! [pdf] More Database SALICON database . Saliency in Context - a large-scale attention database on MS COCO images. Jiang et al. CVPR [pdf] [bib] EMOd database . EMOtional attention dataset- a database with rich sentiment and semantic attributes (4302 objects, 33 high-level attributes). Fan et al. CVPR [pdf] [bib] OSIE database . Object and Semantic Images and Eye-tracking database - a database for object and semantic saliency (700 images, 5551 objects with fine contour and semantic attribute labeling). Xu et al. JoV [pdf] [bib] EyeCrowd database . Eye Fixations in Crowd database - a database for saliency in crowd. Jiang et al. ECCV [pdf] [bib] More Code Context-Adaptive Saliency Network . Code for network implementation of context-adaptive saliency prediction, and evaluation metrics. Saliency with Objects and Semantics . Code for object and semantic feature computation, model training with SVM, saliency prediction, and evaluation measures. Saliency in Crowd . Code for crowd feature computation, crowd stats calculation, model training with MKL, saliency prediction, and evaluations. Multi-Layer Sparse Network . Code for multi-layer sparse network, model training, and saliency prediction. More Copyright 2018 - All Rights Reserved - UMN VIP diff --git a/src/data/compiled_bios/3299.txt b/src/data/compiled_bios/3299.txt new file mode 100644 index 0000000000..6e74081233 --- /dev/null +++ b/src/data/compiled_bios/3299.txt @@ -0,0 +1 @@ + Dr. Haiyi Zhu, University of Minnesota Zhu, Haiyi Assistant Professor GroupLens, University of Minnesota E-mail: zhux0449 at umn dot edu Home Publication Prospective Students Education Resume Personal Home About me Haiyi Zhu is an assistant professor in the Computer Science and Engineering Department at the University of Minnesota, Twin Cities . Her researchfocuses on(1) integrating different research methods to produce clear descriptions and causal understandings of large Internet-based platforms, and (2) designing AI tools and services to support management activities on large Internet-based platforms. She holds a B.S in Computer Science from Tsinghua University and an M.S. and a Ph.D. in Human-Computer Interaction from Carnegie Mellon University. She has received an NSF CRII award as well as several paper awards in venues such as CHI, CSCW, and Human Factors, and an Allen Newell Award for Research Excellence. She has also taken on major service roles in the community, serving as the general co-chair of HCIC, program committee members for CHI and CSCW, and the acting editor for an HCI Journal Special Issue on unifying AI and HCI. Download my CV here. Go to my Publication list. Selected research Peer Production Value-Sensitive Algorithm Design : CreatingIntelligent Recruitment Tools for WikiProjects in Wikipedia [ HCIC2018 ] [ CSCW2018 ] Understand the effects of emotional cues (e.g., NFL game outcomes) on the contributions of Wikipedia editors. [ CSCW2018a, preprint ] Understand the effects of turnover on the success of online production groups [ CSCW2018b, preprint ] Predict Member Productivity and Withdrawal from Pre-Joining Attachments [ CSCW2017 ] Understand the management mechanisms to organize individual contributors with differing goals, experience, and commitment to achieve a collective outcome [ CSCW2012a ],[ CSCW2012b ][ CHI2013 ]. Sharing Economy Quality Standards, Service Orientation, and Power in Airbnb and Couchsurfing [ CSCW2018c, preprint ] The Sharing Economy in Computing: A Systematic Literature Review [ CSCW2018d, preprint ] Design platformsthat allow people to share under-utilized resources andseek help from friends [CHI2016] Scientific Media Production Design Opportunities for Enhancing Collaboration in Scientific Media Production [ CHI2018 ] Social Network and Social Influence Understanding Relationship Overlapping on Social Network Sites: A Case Study of Weibo and Douban [ CSCW2018, preprint ] How often peoples choices are changed by others recommendations [ American Behavioral Scientist 2013 ]. News 2018.12 Our proposal, Promoting Diversity in Peer Production through Mechanism Design with PI Steven Wu to Facebooks Mechanism Design for Social Good RFP, is selected for $50,000 in funding (top 3 in total of 58). 2018.11 7 papers ( 6 from the first round, 1 from the second round) will be presented at CSCW2018. 2018.02 Our paper on Design Opportunities for Enhancing Collaboration in Scientific Media Production receives CHI2018 best paper honorable mention! 2018.01 3 papers accepted by CHI2018! 2017.08 6 papers accepted by CSCW 2018 online first! 2016.08 Receive NSF CRIICISE Research Initiation Award (expected to total$174,355) 2016.05 CHI2016 best paper honorable mention ! Paper:A Market in Your Social Network: The Effects of Extrinsic Rewards on Friendsourcing and Relationships [download pdf] 2016.04- Allen NewellAwardfor Research Excellence (shared with Bob Kraut, Niki Kittur, Moira Burke, and Ching Ren)! 2014.02 Winner of Facebook Fellowship 2014-2015 ! 2013.10 Win the Human Factors Prize 2013 (a $10K prize)! The Human Factors Prize recognizes excellence in HF/E research through an annual competition in which authors are invited to submit papers on a specific topic for that year. The topic of 2013 is social media. 2013.04 Receive best paper honorable mention award from CHI 2013. Paper title: Effects of Peer Feedback on Contribution: A Field Experiment in Wikipedia. [download pdf] 2012.02 Receive best paper honorable mention award from CSCW 2012. Paper title: Effectiveness of Shared Leadership in Online Communities. [download pdf] diff --git a/src/data/compiled_bios/33.txt b/src/data/compiled_bios/33.txt new file mode 100644 index 0000000000..70766f6be6 --- /dev/null +++ b/src/data/compiled_bios/33.txt @@ -0,0 +1 @@ + Indranil Gupta Professor, & Associate-Head, Department of Computer Science ; & Affiliate Faculty, Department of ECE , ITI , Beckman Institute ; @ University of Illinois, Urbana-Champaign. ACM Distinguished Member, IEEE Senior Member [ Teaching ] [ PhD Students ] [ Research and Papers ] [ News Articles ] [ Service ] [ Awards, CV and Bio ] [ Contact ] [ Hobbies ] Teaching Current CS425 / ECE 428 - Distributed Systems [ Fall 2018 ] Waitlist for CS425 Fall 2018 ( For on-campus students only, not online students . Limited to 50, released Aug 6, 2018). Around the semester's start time, we will start a waitlist (or open a new overflow section). Please do not email me to give you an override. Since Fall 2016, this class has 5 sections: {3cr, 4cr} X {on-campus, online} [MCS-DS-Coursera] (link coming soon) A primer course for distributed systems.Programming assignments involve building a real, working, cloud computing system, in several stages. Past versions: [ Fall 2017 ] [ Fall 2016 ] [ Fall 2015 ] [ Fall 2014 ] [ Fall 2013 ] [ Fall 2012 ] [ Fall 2010 ], [ Fall 2007 ], [Fall 2006], [Spring 2005], [Spring 2004 (CS 328)] (older versions archived) CS 525 - Advanced Topics in Distributed Systems. Note: CS525 will NOT be offered in Spring 2019. A cutting-edge graduate course covering contemporary and classical papers in multiple areas of distributed systems - cloud computing, peer to peer systems, distributed algorithms, and sensor networks. A class of 50+ graduate (and undergraduate) students reviews, presents, and debates about 80 papers. Projects are either entrepreneurial ventures, or are research-oriented - the course has a strong history of having its projects published in conferences and journals. Past versions: [ Spring 2018 ] [ Spring 2017 ] [ Spring 2016 ] [ Spring 2015 ] [ Spring 2014 ] [ Spring 2013 ] [ Spring 2011 ] [ Spring 2010 ] [ Spring 2009 ] [ Spring 2008 ], [ Spring 2007 ], [ Spring 2006 (CS 598IG) ], [ Fall 2004 (CS 598IG) ], [Fall 2003 (CS 497IG)]. Cloud Computing Concepts (C3) , a free online course (MOOC) on Coursera. This is a 2 part course, where each part is 5 weeks long. Current offering (started May 2016, and offered on a continuous basis since): [ C3 Part 1 ] [ C3 Part 2 ] If you are interested in just taking the basic Coursera course, use these links above. If you are interested in obtaining a Masters' degree around such material, apply to CS@UIUC's MCS-DS Program. First offering: Feb-Apr 2015. Cloud Computing Concepts Part 1 , and Part 2 is here . Total registered students: 125K. Also offered as part of UIUC CS's MCS-DS program (concurrent with CS425 in Fall semesters). Since Fall 2016 semester. Capstone: Cloud Computing Specialization Current offering (started May 2016, and offered on a continuous basis since): [ Cloud Capstone ] [Jan - Mar 2016] Also offered as part of UIUC CS's MCS-DS program (Spring semesters). Since Spring 2018 semester. CS 591IG - Advanced Seminar in Distributed Systems This seminar is intended primarily for students who're actively working on a project with Indy, e.g., all students in the DPRG group. Course websites are hosted on wiki for registered students (older links are below). Past versions: [Fall 2013] [Spring 2013] [ Fall 2012 ] [ Spring 2009 ] [ Fall 2008 ] [ Spring 2008 ], [ Fall 2007 ], [ Spring 2007 ], [ Fall 2006 ], [ Spring 2006] , [ Fall 2005 ], [ Spring 2005] . Older (Aug 2011 - Jul 2012: On leave from Illinois, working as full-time Google Employee, i.e., Google Visiting Scientist). CS 241 - System Programming : [ Fall 2008 ] CS 423 - Operating Systems : [ Fall 2005 (Undergraduate) ] CS591FSN, Spring 2010 - Seminar on Mathematical Foundations and Tools for Systems and Networking Research : [Spring 2010] (UIUC access only) CS 591SN - New Systems and Networking Seminar : [ Spring 2009 ] [ Fall 2008 ] [ Spring 2008 ], [ Fall 2007 ],[ Spring 2007 ], [ Fall 2006 ], [ Spring 2006 ], [ Fall 2005 ]. A broad seminar featuring top systems papers, upcoming job talks, upcoming conference talks, and lots of questions and debate. PhD Students Current Le Xu Shegufta Ahsan Faria Kalim Rui Yang Cong Xie (co-advised with Sanmi Koyejo) Beomyeol Jeon Alumni Shadi Noghabi (co-advised with Roy Campbell), Defended Ph.D. May 2018. Next Employment: Microsoft Research, Redmond. Mainak Ghosh , Defended Ph.D. July 2018. Next Employment: Twitter. Muntasir Raihan Rahman , Graduated Ph.D. August 2016. Next Employment: Microsoft. ( Currently at Bell Labs, NJ ). Imranul Hoque , Graduated Ph.D. July 2013. Next Employment: VMWare, Palo Alto, CA. ( Currently at Google ). Brian Cho , Graduated Ph.D. October 2012. Defended October 2012. Next Employment : Samsung, Seoul, South Korea, then Research Scientist at Seoul Natl. Univ. (Currently at: Facebook). Steven Y. Ko , Graduated Ph.D. July 2009, Submitted August 2009. Next Employment (Currently at): Associate Professor, Computer Science and Engineering Department, SUNY-Buffalo (2009-2010 Postdoctorate at CS/ECE Princeton University, 2010-2017 Asst. Prof. at SUNY-Buffalo). Ramses V. Morales , Graduated Ph.D. June 2009, Submitted August 2009. Next Employment : Postdoctoral Scholar, Xerox Research, Webster NY (then at Pattern Insight. Currently at VMWare). Jay A. Patel , Graduated Ph.D. May 2009. Defended April 2009. Next Employment : Yahoo!, Champaign (then at Pattern Insight, then at VMWare. Currently at Uber). Research and Publications My research group: Distributed Protocols Research Group (this link will take you out from this website) DPRG Blog (new June 2018!) I lead the BOCCE Center (Blue and Orange Cloud Computing Center) , started by a generous gift from Microsoft (Azure Team). What the News /Blog Media thinks about My Research and Work Quartz article lists MOOC courses as one its top Computer Science courses to take. The Morning Paper's coverage of our Getafix paper in Eurosys 2018. The Morning Paper's coverage of our Service Fabric paper in Eurosys 2018. CS@Illinois article on our work involving Microsoft's Service Fabric , Apr 20, 2018 Article on Implicit Bias in Online Courses , Daily Illini, Mar 26, 2018. (Featuring an interview) Google Offers Free Cloud Access to Colleges, Plays Catch Up to Amazon, Microsoft , EdSurge Article, Aug 17, 2016. (Featuring an interview) Harnessing the power of the Data Revolution, Click Magazine, 2016. vol 1. See pages 12-18. Folks are blogging about our Cross-layer Cloud Scheduling work from IC2E 2015 -- see here . You can find the paper here . Apr 15, 2015 HP Enterprise article (Issue No. 7, Fall 2015) about public clouds. (Featuring an interview) CS@Illinois MOOC Enrolments Soar as New Specializations Launch , CS Department Article, Apr 10, 2015 How Close is too Close? Industry Courts Computer Scholars , Chronicle of Higher Education (Avi Wolfman-Arent), Aug 11, 2014 Engineers OnStage Interview (2012, Interviewers: Ravi Sathyam and David Albrecht) Chronicle of Higher Education (Avi Wolfman-Arent), Aug 11, 2014 AEL Faculty Fellowship Entrepreneurial-focused course seeks to expand on UI-Led Revolutions in Distributed Computing (Feb 22, 2010, UIUC CS news article) (July 29/30, 2008) Cloud Computing Testbed: Professor Indranil Gupta, along with Professors Mike Heath and Roy Campbell are involved in the new Cloud Computing Testbed (CCT), with sponsorship from HP, Intel and Yahoo!, in collaboration with NSF. NSF has announced a SGER grant (with lead PI: Mike Heath, and co-PIs: Indranil Gupta and Roy Campbell) to support the CCT equipment acquisition and setup. Some articles on effort: Scientific American article NSF article UIUC CS article BBC News article New York Times article Washington Post article Reuters article Professor Indranil Gupta Receives Xerox Award for Research (April 10, 2008, UIUC CS news article) Convocation Booklet of the 44th Annual Engineering Awards Ceremony - see page 16 for blurb on my research. (April 25, 2008, College of Engineering, UIUC) "In disaster aid, scientists look to bugs to help rescuers keep in touch." By Brandom Keim. New York Resident (July 16, 2007, page 65) Columbia School of Journalism (March 15, 2005) Computers can mimic nature and outperform themselves. (April 17, 2006, UIUC CS news article) DCS faculty show high success level in earning prestigious CAREER award. (February 1, 2006, UIUC CS news article) Myriad Honors, Awards, and Accolades for CS Faculty. (March 9, 2005, UIUC CS news article) "Insects, viruses could hold key for better human teamwork in disasters." By Andrea Lynn. (March 1, 2005) UI News Bureau Medical News Today Professional Service Committees/Panels/Sessions Currently or Recently Involved in: 2018 : PC Co-Chair: Usenix HotCloud 2018 (with Ganesh Ananthanarayanan) PC Member: Eurosys 2018 , ACM SoCC 2018 , Usenix ATC 2018 , IC2E 2018 , ICDCS 2018 (Distributed Fault Tolerance and Dependability Track), CCGrid 2018 (Cloud Computing Track), Euro-Par 2018 (Co-chair, Track: Distributed Systems and Algorithms) Associate Editor/Editorial Board: ACM Transactions on Autonomous and Adaptive Systems (TAAS) , IEEE Transactions on Cloud Computing (TCC) 2017 : PC Co-Chair: IEEE IC2E 2017 (with Jiangchuan Liu), LADIS 2017 (with Dushyanth Narayanan) Associate Editor/Editorial Board: ACM Transactions on Autonomous and Adaptive Systems (TAAS) PC Member: ACM SoCC 2017 , ACM/IFIP/Usenix Middleware 2017 , IEEE ICAC 2017 , IEEE ICDCS 2017 (Distributed Operating Systems and Middleware Track), IEEE/ACM CCGrid 2017 (Mobile, Hybrid, and Emerging Clouds Track) 2016 : PC Co-Chair: IEEE ICDCS 2016 (Cloud Computing and Datacenters Track) (with Dilma Da Silva), IEEE ICCAC 2016 (with Yixin Diao), DeMiST 2016 (with Fabian Bustamante) Associate Editor/Editorial Board: ACM Transactions on Autonomous and Adaptive Systems (TAAS) PC Member: Usenix ATC 2016 , ACM SoCC 2016 , IC2E 2016 , ICPP 2016 (Applications Track), ICDCN 2016 2015 : PC Member: IEEE CAC 2015 , P2P/Edge 2015 , SIGCOMM DCC 2015 , IEEE IC2E 2015 , IEEE ICAC 2015 , ICDCS 2015 (Cloud Computing and Datacenters Systems Track) Associate Editor/Editorial Board: ACM Transactions on Autonomous and Adaptive Systems (TAAS) Panelist, IWCA 2015 Invited Speaker, INFORMS 2015 2014 : PC Co-Chair: IEEE P2P 2014 (with Roger Wattenhofer) PC Member: IEEE ICDCS 2014 (Cloud Computing and Datacenter Systems Track) , SIGCOMM DCC 2014 , ACM SoCC 2014 , MTAGS 2014 Associate Editor/Editorial Board: ACM Transactions on Autonomous and Adaptive Systems (TAAS) 2013 : PC Member: ACM SoCC 2013 , IEEE P2P 2013 , IC2E 2013 , ICDCN 2013 Associate Editor/Editorial Board: ACM Transactions on Autonomous and Adaptive Systems (TAAS) 2012 : (Until August 2012, on Sabbatical Leave) PC Member: MTAGS 2012, ICDIT 2012 2011 : (On Sabbatical Leave from August 2011) PC Member: I CDCS 2011 (Distributed OS and Middleware Track) , ICAC 2011 , DCDV 2011 Steering Committee Member: ACM/IFIP/Usenix Middleware 2011 2010 : PC Co-Chair: ACM/IFIP/Usenix Middleware 2010 (with Cecilia Mascolo); IEEE SASO 2010 (with Jerry Rolia and Salima Hassas). PC Member: Usenix HotDep 2010; ICDCS 2010 (Distributed OS and Middleware Track); DCOSS 2010 ; IEEE SECON 2010 ; EDCC 2010 ; ICDCN 2010 ; MTAGS 2010 2009 : PC Member: ACM/IFIP/Usenix Middleware 2009 (Main Track) ; Industrial track at ACM/IFIP/Usenix Middleware 2009 ; ICDCS 2009 (Distributed Algorithms Track); Middleware Doctoral Symposium 2009 ; MTAGS 2009 ; IEEE SECON 2009 ; COMSWARE 2009 ; ICDCN 2009 . Keynote Speaker, MidSens 2009 Panelist, Middleware Doctoral Symposium 2009 Workshops Co-Chair, IEEE SASO 2009 Track Chair, Cloud Computing Track, SSS 2009 2008 : Associate Vice Chair, Wireless and Mobile Computing Track, ICDCS 2008 PC Member: ACM/IFIP/Usenix Middleware 2008 ; IEEE SASO 2008 ; ICDCS 2008 (Sensor Networks Track); IPTPS 2008 ; Usenix HotDep 2008 ; Middleware Doctoral Symposium 2008 ; MTAGS 2008 ; MiNEMA 2008 ; IWSOS 2008 . Publicity Co-Chair, IEEE SASO 2008 Awards Chair, ACM PODC 2008 2007 : General Chair, ACM PODC 2007 Treasurer, ACM NOSSDAV 2007 Steering Committee Member, ACM PODC 2007 Track Co-Chair, CEC 2007 Sp. Session Evolutionary Comp. PC Member: ACM/IFIP/Usenix Middleware 2007 ; IEEE SASO 2007 ; ACM NOSSDAV 2007 ; SAHNS 2007 (ICDCS 07); IWSOS 2007 ; I2CS 2007 ; SIGOPS Oper. Sys. Review Sp. Issue on Gossip-Based Networking. Mock Thesis Committee Member, Middleware Doctoral Symposium 2007 2006 and earlier : PC Chair and General Chair, StoDiS 2005 Panelist, WCW 2004. Treasurer, ACM PODC 2006 PC Member: ACM/IFIP/Usenix Middleware 2006 ; Usenix HotDep 2006 ; ICDCN 2006 ; IEEE MASS 2006; IWSOS 2006 . Other : NSF Proposal Review Panelist, March 2005 and April 2007. Session chair at: ICDCS 05, MASS 05, SDCS 05, NOSSDAV 07, PODC 07 (Industry Sponsored Lunch for Students and Post-Docs), and others. Reviewer for several conferences (not listed due to space) and journals (e.g., IEEE TPDS, JSAC, ACM TOCS, JSS, IEEE TSE, ComNets, AdHocNets, Distributed Computing, ACM TOCS, IEEE TMC, etc.). Awards Best Paper Award at the IEEE International Conference on Cloud Engineering (IC2E), 2018. Best Paper Award at the 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), 2017. Best Paper Award at the IEEE International Conference on Cloud Engineering (IC2E), 2016. Best Paper Award at the 12th IEEE International Conference on Autonomic Computing (ICAC), 2015. Nominee for Best Paper Award at the 12th International Conference on Quantitative Evaluation of SysTems (QEST), 2015. Best Paper Award at BigMine 2012. Faculty Fellowship, Academy for Entrepreneurial Leadership, 2010 (Awarded to only 5 faculty campus-wide) Center for Advanced Studies (CAS) Fellowship/Beckman Fellowship, 2009-2010 Junior Xerox Award for Faculty Research, UIUC (2008) (Awarded to only 4 Assistant Professors across all 12 Engineering Departments at UIUC) Convocation Booklet of the 44th Annual Engineering Awards Ceremony (see page 16 for blurb on my research). NSF CAREER Award (2005). UIUC " List of Teachers Ranked as Excellent " (based on UIUC ICES Student Survey) ten times for both grad and undergrad classes - Fall 2003, Fall 2004, Fall 2005 (*), Spring 2006 (*), Spring 2007, Fall 2007 (*), Spring 2008 (*), Spring 2011, Fall 2012 (for CS425), Spring 2013 (*), Fall 2016, Fall 2018 . ( * = Ratings were Outstanding). ACM Distinguished Member (Elevated 2018). IEEE Senior Member (Elevated 2018). Awards won by my Graduate Students Best Paper Awards at IEEE IC2E 2018, IEEE/ACM CCGrid 2017, IEEE IC2E 2016, IEEE ICAC 2015, BigMine 2012, and Best Paper Nomination at QEST 2015. Recent PhD graduate Shadi Noghabi has won the Kuck Outstanding PhD Thesis Award , Dept. of CS @ UIUC, 2018. PhD Student Shadi Noghabi has won the Microsoft Research Dissertation Grant , 2017. (Among 12 fellowship winners across the US.). MS Student Jayasi Mehar is one of the nationwide winners of the Siebel Scholar Award , 2017. PhD Student Rui Yang has won the CS Department's Richard T. Cheng Endowed Fellowship , 2017. PhD Student Shadi Noghabi has won the Mavis Future Faculty Fellowship (College of Engineering at UIUC), 2017-18. New PhD Student Rui Yang has won the prestigious Microsoft Women's Fellowship , 2016-17. PhD student Le Xu has won the Kuck Outstanding MS Thesis Award , 2015. PhD student Muntasir Rahman has won the Feng Chen Memorial Award , 2016. PhD Student Muntasir Rahman has won the CS Excellence Fellowship for 2014-2015. MS/PhD Student Le Xu has won the Outstanding TA Award for her work in CS425 Fall 2014. BS/MS student Yosub Shin won the First place in the HackIllinois Competition , 2015. PhD Student Mayank Pundir has been selected to the prestigious Siebel Scholars Class of 2015. Undergrad Tej Chajed has won the prestigious C. W. Gear Outstanding Undergraduate Award , 2014. Undergrad Tej Chajed has won the prestigious NSF Graduate Research Fellowship for 3 years of grad school, 2014-17. (Tej joined MIT EECS for his PhD.) DPRG Student Muntasir Rahman wins the VMWare Graduate Fellowship , 2014-2015. One of 4 VMWare fellowships given world-wide. DPRG PhD Student Brian Cho wins for a second time the Cohen Fellowship Award for 2nd year of Graduate study, 2008-2009. New DPRG PhD Student Brian Cho won Gear Award for Outstanding Undergraduate Student (Dept. of Computer Science), for the year 2006-2007. DPRG Alumnus Thadpong Pongthawornkamol won David J. Kuck Award for Best MS Thesis (Dept. of Computer Science), for the year 2006-2007. New DPRG PhD Student Brian Cho wins the Cohen Fellowship Award for 1st year of Graduate study, 2007-2008. >> CV << (Updated Nov 8, 2018) Bio Indranil Gupta (Indy) is a Professor of Computer Science at the University of Illinois at Urbana-Champaign. Indy leads the Distributed Protocols Research Group and the BOCCE Cloud Center in the CS Department at UIUC . He works on distributed protocols, with specific focus on large-scale distributed systems such as datacenters and cloud computing systems. Indranil is recipient of the the NSF CAREER award in 2005, the Junior Xerox Award for Faculty Research in 2008, the CAS/Beckman Fellowship in 2009, and the Academy for Entrepreneurial Leadership Faculty Fellowship in 2010. He has won Best Paper Awards at IEEE/ACM CCGrid 2017, IEEE IC2E 2016, IEEE ICAC 2015 and BigMine 2012. Indranil received teaching recognition in the UIUC "List of Teachers ranked as Excellent" multiple times since 2003. He served as General Chair of ACM PODC 2007; PC co-chair at HotCloud 2018, IC2E 2017, ICCAC 2016, DeMIST 2016, ACM/IFIP/Usenix Middleware 2010, IEEE SASO 2010, StoDiS 2005; Track chair at ICDCS 2015; and Associate Track Vice Chair at ICDCS 2008. Previously, Indranil received his PhD in Computer Science from Cornell University in 2004. Recently, during 2011-2012 he spent an awesome year as a full-time Google employee (Visiting Scientist at Google, Mountain View). In the past, he has also worked in IBM Research (T.J. Watson) and Microsoft Research (Cambridge, UK). Indranil obtained his Bachelor of Technology (Computer Science) from the Indian Institute of Technology (IIT), Chennai/Madras , in 1998. He is originally from Hyderabad (India), where he was schooled in St. Patrick's H.S., HPS(R), and LFJC. He has also been a Gold Medalist at India's National Physics Olympiad, and recipient of India's NTSE Scholarship. Since 2005, Indranil has hosted a music radio show called "East of Zero" on the community radio station WEFT 90.1 FM in Champaign, Illinois. Contact Info ( if you're in UIUC) 3112 Siebel Center (MC 258), UIUC (if you're outside UIUC) Mailing Address: Siebel Center for Computer Science, 201 N. Goodwin Avenue, University of Illinois, Urbana, IL 61801. (wherever you are) indy at illinois blip edu or (O) +1 217 265 5517 Hobbies: In My Free Time I recently started playing the Ukulele: see my Youtube channel . "East of Zero" - WEFT 90.1 FM: A Radio Show I host [Facebook page] [ Playlists ] Links to World Newspapers Older (and Possibly Outdated) Links: Traveling and Photography : Offshoots include rock collecting, hat collecting, etc. Others include playing Practical Jokes on people (passwd protected page). I have been a member of the selective American MENSA (I stopped paying dues :). Here are some puzzles I have collected over time. And, perhaps among the millions of stoned slackers . Reading Weird News ig 01/2004-2017 diff --git a/src/data/compiled_bios/330.txt b/src/data/compiled_bios/330.txt new file mode 100644 index 0000000000..f26f192a34 --- /dev/null +++ b/src/data/compiled_bios/330.txt @@ -0,0 +1 @@ +Name: Chin, Wei-Pang:: Position: Senior Lecturer II:: Degrees: Ph.D.,Computer Science, University of Texas at Dallas, TX (1987); M.S., Computer Science, University of Texas at Dallas, TX (1983); B.S., National Chung-Hsing University, Taichung City, Taiwan(1977); Research Interests: 5G/4G Networks; Large Highly Reliable System Development with Software Engineering Disciplines; Major Honors and Awards: Winner of the 2009 Motorola CEO Quality Award with Right First Time quality for significantly reducing software product defect rework cost and substantially improving customer satisfaction; Winner of the 2000 Bell Labs Presidents Gold Award; RepresentativePublications: Wei-pang Chin, Simeon C. Ntafos, Optimum Watchman Routes, Symposium on Computational Geometry 1986: 24-33; Wei-pang Chin, Simeon C. Ntafos, Optimum Watchman Routes, Process. Lett. 28(1): 39-44 (1988); Wei-pang Chin, Simeon C. Ntafos, Shortest Watchman Routes in Simple Polygons, Discrete & Computational Geometry 6: 9-31 (1991); Wei-pang Chin, Simeon C. Ntafos, The Zookeeper Route Problem, Sci. 63(3): 245-259 (1992); diff --git a/src/data/compiled_bios/3300.txt b/src/data/compiled_bios/3300.txt new file mode 100644 index 0000000000..d47e77324b --- /dev/null +++ b/src/data/compiled_bios/3300.txt @@ -0,0 +1 @@ +Phillip Barry Homepage (This page is under revision.) Overview of Computer Science (CSci 1001 course notes) Note on academic conduct diff --git a/src/data/compiled_bios/3301.txt b/src/data/compiled_bios/3301.txt new file mode 100644 index 0000000000..c72f9e63bc --- /dev/null +++ b/src/data/compiled_bios/3301.txt @@ -0,0 +1 @@ + Christopher Kauffman Lecturer, Computer Science University of Minnesota Twin Cities, MN Home Research Teaching Software CV Projects Prospective Students Contact Contact: kauffman@umn.edu 612-626-9351 Office Hours: Shepherd Hall 327 Tue 2:30-4:30pm Sep 4 - Dec 11, 2018 Copyright Christopher Kauffman 2013-18 diff --git a/src/data/compiled_bios/3302.txt b/src/data/compiled_bios/3302.txt new file mode 100644 index 0000000000..fa45ff208b --- /dev/null +++ b/src/data/compiled_bios/3302.txt @@ -0,0 +1 @@ + Robots learn. Learn robots Home Teaching Research CV + Pubs News Contact Office: Shepherd Labs 377 Phone: 612 625-9088 Email: lars1050@umn.edu Links CSE Department UMSEC UofM CS Tutorials Office Hours Fall 2018 377 Shepherd Labs Door open Mon 12:30pm - 1:30pm (Reserved for 4511) Door open Mon 1:30pm - 2:30pm (Reserved for 5143 ) There is a good chance the door will also be open Mon 11:00am - 12:30pm Door open Wed 10:30am - 12:00pm There is a good chance the door will also be open Wed 1:00pm - 2:30pm Specific hours are reserved for specific classes, which means I will give preference to students in that class. If it is not your designated hour, feel free to come by to see if I am available (whether or not it is a listed office hour). Please feel free to stop by and chat about classes, research, or your professional trajectory. I will give preference to students currently enrolled in one of my courses, otherwise it is on a first-come first-serve basis. I MUCH prefer to chat in person than via email and you are MUCH more likely to get your question answered quickly if you come to my office. Teaching Schedule Fall 2018 Tu, Thu: 11:15am - 12:30pm (CSCI4511) Tu, Thu: 2:30pm - 3:45pm (CSCI5143) Amy C Larson Amy Larson earned a Ph.D. in Computer Science from the University of Minnesota and a Bachelor's in Computer Science from the University of Massachusetts at Amherst. Her research interests are in developing software for intelligent robotic systems with real-time adaptability to both systemic and environmental changes. " Computer science is no more about computers than astronomy is about telescopes ." Edsger Dijkstra Design adapted from WEDESIGNIT . diff --git a/src/data/compiled_bios/3303.txt b/src/data/compiled_bios/3303.txt new file mode 100644 index 0000000000..17924eb7a4 --- /dev/null +++ b/src/data/compiled_bios/3303.txt @@ -0,0 +1 @@ + CS&E Profile: Carl Sturtivant About I teach mainly discrete mathematics, algorithms & data structures, automata theory, computability, complexity theory at both undergraduate and graduate levels, and also internet & network programming as well as beginning programming in various languages. I also supervise some independent study and undergraduate projects. Additionally I coach the intercollegiate programming contest teams for the regional (and occasionally world final) contest. Here are some of the classes I teach from time-to-time. On the strength of teaching these classes I have been repeatedly voted Best Computer Science Professor by College of Science and Engineering students. CSci 1103 Introduction to Programming in Java CSci 1113 Introduction to C/C++ Programming CSci 1901 Structure of Computer Programming I CSci 1902 Structure of Computer Programming II CSci 2011 Discrete Structures of Computer Science CSci 4011 Formal Languages and Automata Theory CSci 4041 Algorithms and Data Structures CSci 4131 Internet Programming CSci 4211 Introduction to Computer Networks CSci 5403 Computational Complexity CSci 5421 Advanced Algorithms and Data Structures Here are some selected publications. For more details about the content of these, see my personal home page linked above. Finite Field Arithmetic versus Bit Operations: (Note that [1] predates [2] despite the publication dates.) [1] Sturtivant & Frandsen , The Computational Efficacy of Finite Field Arithmetic , Theoretical Computer Science 112 , 1993 . [2] Boyar, Frandsen & Sturtivant , An Arithmetic Model of Computation Equivalent to Threshold Circuits , Theoretical Computer Science 93 , 1992. Permanent versus Determinant: [3] Sturtivant, Generalized Symmetries of Polynomials in Algebraic Complexity , 23 rd Proceedings of the IEEE conference on Foundations of Computer Science (FOCS), 1982, winner of the Machtey Prize . [4] Sturtivant, Are There Elimination Algorithms for the Permanent? , Linear and Multilinear Algebra, 33 , 1993. One-Way Functions: [5] Sturtivant & Zhang (Zhi-Li), Efficiently Inverting Bijections Given by Straight Line Programs , 30 th Proceedings of the IEEE conference on Foundations of Computer Science (FOCS), 1990. Teaching Faculty (612) 625-2384 Office: Keller 6-197 carl @ cs.umn.edu Personal Home Page Interests Algebraic and Finite Field Circuits, Algebraic analogues of Boolean circuit complexity, One-Way-Functions, Finite Field Arithmetic versus Bit Operations, Permanent versus Determinant, Quantum Circuits, Probability as Scientific Reasoning, Entropy based Probability Assignments. Education PhD 1983, Computer Science at Edinburgh University, Scotland. Diploma (MS) 1980, Computer Science at Churchill College, Cambridge University, England BA 1979, MA 1982, Theoretical Physics at Churchill College, Cambridge University, England diff --git a/src/data/compiled_bios/3304.txt b/src/data/compiled_bios/3304.txt new file mode 100644 index 0000000000..153e243ba6 --- /dev/null +++ b/src/data/compiled_bios/3304.txt @@ -0,0 +1 @@ +Main navigation | Main content University of Minnesota http://twin-cities.umn.edu/ 612-625-5000 Go to the U of M home page One Stop MyU : For Students, Faculty, and Staff Search Search Kevin D. Wendt Teaching Specialist, CS&E Director of Graduate Studies, M.S. in Software Engineering Department of Computer Science and Engineering University of Minnesota Software Engineering Center University of Minnesota "All the research in the world won't do a thing... unless we can get the knowledge to the people who need it." Teaching: University of Minnesota CSCI5801: Software Engineering I (Spring 2019, Fall 2017, Spring 2017, Fall 2016, Spring 2016, Fall 2015) CSCI3081W: Program Design and Development (Fall 2018, Spring 2018, Fall 2016) CSCI2011: Discrete Structures of Computer Science (Summer 2013) CSCI1113: Intro to C/C++ for Scientists and Engineers (Summer 2017, Summer 2016, Fall 2015) SENG5802: Software Design (Spring 2019, Spring 2018, Spring 2017, Spring 2016) Dunwoody College of Technology BCSA3110: Discrete Mathematics (Fall 2014, Fall 2013) BCSA3210: Algorithms & Data Structures (Spring 2015, Spring 2014) BCSA4110: Formal Languages & Automata (Fall 2014) BCSA4210: Introduction to Software Engineering (Spring 2015) MISB3210: Systems Analysis Practicum [Online] (Spring 2013) MISB3220: Database Technologies [Online] (Fall 2014, Spring 2014, Fall 2013, Spring 2013, Fall 2012) MISB4110: Management of Distributed Systems [Online] (Spring 2014, Spring 2013, Fall 2012) CWEB1000: Introduction to Web Languages [Non-major] (Spring 2015, Fall 2014, Spring 2014, Fall 2013, Spring 2013, Fall 2012) CWEB1001: Introduction to Web Programming (Fall 2013, Spring 2013, Fall 2012) CWEB1010: Introduction to Web Development (Spring 2015 [2 sections], Fall 2014 [2 sections], Spring 2014) CWEB1110: Programming Fundamentals (Spring 2015, Spring 2014, Spring 2013) CWEB2010: Advanced Programming (Fall 2014, Fall 2013) CWEB2020: Database Servers (Fall 2012) CWEB2110: Web Publishing (Spring 2015, Spring 2014, Spring 2013) CWEB2120: Database Systems (Spring 2014, Spring 2013) CWEB2133: Internship (Spring 2015, Fall 2014) CWEB2130/CWEB2135: Advanced Topics [Capstone] (Spring 2015, Fall 2014, Spring 2014, Spring 2013, Fall 2012) 22 similar courses (Fall 2009 - Spring 2012) Awards: Instructor of the Year, Dunwoody College of Technology. 2014. Outstanding Academic Innovation, Dunwoody College of Technology. 2011. Research Interests: I am a part of the University of Minnesota Software Engineering Center whose research interests are in the general area of software engineering; my specific focus is on delivering software engineering education and training (SEE&T), both in the traditional University setting and in newly emerging online and online/in-person hybrid environments. Papers: Kevin D. Wendt, Ken Reily, and Mats P.E. Heimdahl, "First Steps Towards Exporting Education: Software Engineering Education Delivered Online to Professionals," in 29th IEEE Conference on Software Engineering Education and Training (CSEE&T) , April 2016, pp. 241-245. Paper Conf. talk slides Kevin D. Wendt, "Audience and Content Areas of Online Software Engineering Education and Training: A Systematic Review," in 52nd Hawaii International Conference on System Sciences , Software Engineering Education & Training Track, January 2019, pp. 7602-7611. Paper Conf. talk slides Data Bio: My Curriculum Vitae is available here . Positions held: Teaching Specialist Dept. of Computer Science and Engineering University of Minnesota Aug. 2015 - present ; Principal Instructor Dunwoody College of Technology Aug. 2013 - Aug. 2015 ; Senior Instructor Dunwoody College of Technology Nov. 2009 - Aug. 2013 ; Applications Programmer Wells Fargo & Co. Dec. 2006 - May 2012 Education: Ph.D., Computer Science at The University of Minnesota , 2020 (expected); Regents Certificate, Career and Technical Education at The University of Minnesota , 2012; M.S.S.E., Software Engineering at The University of Minnesota , 2009; B.S., cum laude, Computer Science at The University of Minnesota , 2007; B.S., Sociology - Law, Crime and Deviance specialty, Mathematics minor at The University of Minnesota , 2006; Contact Information: Email: wendt@umn.edu Office: Keller Hall 6-254, a map to Keller Hall . Postal Address: Kevin D. Wendt Dept. of Computer Science and Engineering 4-192 Keller Hall University of Minnesota 200 SE Union Street Minneapolis, MN 55455 USA Phone Numbers: +1 612 624 5130 - office Contact Information For Students, Faculty, and Staff One Stop My U 2019 Regents of the University of Minnesota. All rights reserved. The University of Minnesota is an equal opportunity educator and employer. Privacy Statement Current as of September 7, 2015 diff --git a/src/data/compiled_bios/3305.txt b/src/data/compiled_bios/3305.txt new file mode 100644 index 0000000000..867bce48cf --- /dev/null +++ b/src/data/compiled_bios/3305.txt @@ -0,0 +1 @@ + E UGENE B . S HRAGOWITZ Professor Department of Computer Science and Engineering Office Phone: (612) 625 - 3368 Office Fax: (612) 625 - 0572 E-mail: shragowi@cs.umn.edu S PECIALTIES Computer Engineering Computer-Aided Design Computer Architecture Simulation R ECENT P UBLICATIONS "Transaction-based Waveform Analysis for IP Selection" , J.Liu, E. Shragowitz, Proceedings of the ASP-DAC , to appear, 2003. "Net Criticality Revisited: An Effective Method to Improve Timing in Physical Design" , H. Chang, E. Shragowitz, J. Liu, H. Youssef, B. Lu, S. Sutanthavibul, Proceedings of the International Symposium on Physical Design (ISPD) , Pages 155-160, 2002. "Combining Hierarchical Filtering, Fuzzy Logic, and Simulation with Software Agents for IP (Intellectual Property) Selection in Electronic Design " , J. Liu, E. Shragowitz, W-T. Tsai, International Journal on Artificial Intelligence Tools, vol.10, no. 3 , Pages 303-323, 2001. "Wire Segmenting for Buffer Insertion Based on RSTP-MSP " , B. Lu, J. Gu, X-D. Hu, E. Shragowitz, }Theoretical Computer Science A, 262 (1-2) , Pages 257-267, 2001. "Overshoot and Undershoot Control for Transmission Line Interconnects" , E. Shragowitz, J. Lee. Proceedings of IEEE Electronic Components and Technology Conference (ECTC99) , 99. "Synthesis of High-Speed Interconnects Under Constraints on Timing and Signal Integrity" , E. Shragowitz, J. Lee. Proceedings of IEEE Electronic Components and Technology Conference (ECTC98) , Pages 622-626, 98. "Application of Fuzzy Logic in Computer-Aided VLSI Design " , E. Shragowitz, J.-Y. Lee, and E. Kang, IEEE Transactions on Fuzzy Systems}, vol.6, no. 1 , Pages 163-172, 98. M y current research interests are in CAD of electronic systems, soft computing and combinatorial optimization. In CAD we are developing methods, algorithms and software tools for automated design of chips, multichip modules, and printed circuit boards. Our algorithms and tools were used by industry for design of the most advanced electronic systems. Lately we concentrate on design-reuse issues, ranging from IP selection problem to equivalence verification problem emerging in design-reuse. We are actively working on timing and signal purity aspects of physical design on all levels. This work requires application of variety of mathematical techniques ranging from solving of systems of partial differential equations to advanced optimization techniques and soft computing. CAD systems belong to the category of the largest and the most complex software systems. Final products of our research very often have a form of very large computer programs. We also are working on application of fuzzy logic for solving of CAD problems. Fuzzy logic and other soft computing techniques allow to address the problems which are poorly handled by traditional mathematical methods. Our research also includes high level synthesis and other aspects of design automation. Because many design problems are combinatorial in nature we are actively researching algorithms for combinatorial optimization, specifically in the areas with the direct applications in CAD. A CADEMIC Q UALIFICATIONS Ph.D., 1971, National Scientific Research Laboratory. Moskow, Russia, Computer Science. M.S., 1958, College of Electrical Engineers, St. Petersburg, Russia, Electrical Engineering. P ROFESSIONAL E XPERIENCE Senior Staff Scientist, College of Engineering and Economics, St. Petersburg, Russia Professor, College of Engineering and Economics, St. Petersburg, Russia Professor, Univeristy of Minnesota I NDUSTRIAL/ C ONSULTING E XPERIENCE Design Engineer (Analog and Digital Electronics) Chief Engineer of one of the first computer centers Senior Network Engineer (NCR Comten) Techniclal Consultant (Advanced CAD Department, Control Data Corporation) R ECENT R ESEARCH S UPPORT NSF, Intel Mailing address: EUGENE B. SHRAGOWITZ Department of Computer Science and Engineering University of Minnesota 4-192 Electrical Engineering/Computer Science Building 200 Union Street S.E. Minneapolis, MN 55455 Industrial and Community Assistance Center Home Page Last updated : Thu Aug 28 15:47:36 CDT 1997 The University of Minnesota is an equal opportunity educator and employer. Proposal Reference diff --git a/src/data/compiled_bios/3306.txt b/src/data/compiled_bios/3306.txt new file mode 100644 index 0000000000..7c572dca0b --- /dev/null +++ b/src/data/compiled_bios/3306.txt @@ -0,0 +1 @@ + Ulas Bagci, Ph.D., CRCV, UCF. Toggle navigation Professor, UCF. Home Courses Publications Blog Group Members News Ulas Bagci, Ph.D., Artificial Intelligence in Medicine (AIM) Faculty Member, Center for Research in Computer Vision University of Central Florida, Orlando, FL More Info Artificial Intelligence in Medicine (AIM) Prof. Bagci is a faculty member at the Center for Research in Computer Vision (CRCV), and the Assistant Professor in University of Central Florida (UCF). His research interests are Artificial intelligence, machine learning and their applications in biomedical and clinical imaging. Previously, he was a staff scientist and the lab co-manager at the NIH's Center for Infectious Disease Imaging (CIDI) Lab, department of Radiology and Imaging Sciences (RAD&IS). At NIH, Prof. Bagci has developed and implemented educational and scientific research initiatives, and mentored postdoctoral and postbaccalaureate fellows for quantitative image analysis in clinical and pre-clinical projects at the Clinical Center. Prof. Bagci had also been the leading scientist (image analyst) in biosafety/bioterrorism project initiated jointly by NIAID and IRF. Prof. Bagci obtained his PhD degree from School of Computer Science, University of Nottingham (UK) in collaboration with Radiology department of University of Pennsylvania (with Prof. Udupa, MIPG). He has masters from Electrical Engineering and Computer Sciences and certificates of mastery from statistics, public health, and clinical trials. Prof. Bagci is senior member of IEEE and RSNA, and member of scientific organizations such as Society of Nuclear Medicine and Molecular Imaging (SNMMI), American Statistical Association (ASA), Royal Statistical Society (RSS), AAAS, and MICCAI. He has served as a program committee member for various conferences, and a regular reviewer for many prestigious journals in his fields and received best reviewer awards (most recently MICCAI 2016 Best Scientific Reviewer Award). Prof. Bagci is the recipient of many awards including NIH's FARE award (twice), RSNA Merit Certificates (5+ times), best paper awards, poster prizes, and several highlights in journal covers, media, and news. Prof. Bagci was co-chair of Image Processing Track of SPIE Medical Imaging Conference, 2017, and technical committee member of MICCAI 2018. View Recent Research Interests and Outcomes Address 4328 Scorpius St., HEC221, UCF, Orlando, FL 32816 Email: bagci@crcv.ucf.edu Visit CRCV webpage: www.crcv.ucf.edu Curriculum Vitae Research Interests Some of my most recent research interests are the following (will be updated soon): Capsule Networks Lorem ipsum dolor sit amet, consectetur adipiscing elit. Duis sed dapibus leo nec ornare diam sedasd commodo nibh ante facilisis bibendum dolor feugiat at. Human-Centered AI Lorem ipsum dolor sit amet, consectetur adipiscing elit. Duis sed dapibus leo nec ornare diam sedasd commodo nibh ante facilisis bibendum dolor feugiat at. Explainable Deep Learning Lorem ipsum dolor sit amet, consectetur adipiscing elit. Duis sed dapibus leo nec ornare diam sedasd commodo nibh ante facilisis bibendum dolor feugiat at. Optimization in Deep Learning Lorem ipsum dolor sit amet, consectetur adipiscing elit. Duis sed dapibus leo nec ornare diam sedasd commodo nibh ante facilisis bibendum dolor feugiat at. Cancer (Lung and Pancreas) Lorem ipsum dolor sit amet, consectetur adipiscing elit. Duis sed dapibus leo nec ornare diam sedasd commodo nibh ante facilisis bibendum dolor feugiat at. Brain Imaging Lorem ipsum dolor sit amet, consectetur adipiscing elit. Duis sed dapibus leo nec ornare diam sedasd commodo nibh ante facilisis bibendum dolor feugiat at. Metabolism/Aging/Tissues Lorem ipsum dolor sit amet, consectetur adipiscing elit. Duis sed dapibus leo nec ornare diam sedasd commodo nibh ante facilisis bibendum dolor feugiat at. Cardiac Imaging Lorem ipsum dolor sit amet, consectetur adipiscing elit. Duis sed dapibus leo nec ornare diam sedasd commodo nibh ante facilisis bibendum dolor feugiat at. Selected Papers Below are some of the selected papers from our recent research activities! (Technical) Journal Papers A collaborative computer aided diagnosis (C-CAD) system with eye-tracking, sparse attentional model, and deep learning. Medical Image Analysis, [2019] Deep Geodesic Learning for Anatomy Segmentation and Landmarking. IEEE Transactions on Medical Imaging, [2019] A Novel Extension to Fuzzy Connectivity for Body Composition Analysis: Applications in Thigh, Brain, and Whole Body Tissue Segmentation. IEEE Transactions on Biomedical Engineering, [2018] Joint Solution for PET Image Segmentation, Denoising, and Partial Volume Correction. Medical Image Analysis, [2018] Automatic Segmentation and Quantification of White and Brown Adipose Tissues from PET/CT Scans. IEEE Transactions on Medical Imaging, [2017] MICCAI/IPMI Papers Automatically Designing CNN Architectures for Medical Image Segmentation. MLMI / MICCAI [2018] S4ND: Single-Shot Single-Scale Lung Nodule Detection. MICCAI [2018] Risk Stratification of Lung Nodules Using 3D CNN Multi-Task Learning. Information Processing in Medical Imaging (IPMI), [2017] Simultaneous Detection and Quantification of Retinal Fluid with Deep Learning. MICCAI-RETOUCH Challenge, [2017] Multi-planar Deep Segmentation Networks for Cardiac Substructures from MRI and CT. MICCAI STACOM / MM-WHS Challenge, [2017] Segmentation Based Denoising of PET Images: An Iterative Approach via Regional Means and Affinity Propagation. MICCAI, [2014] Other DL Papers Capsules for Object Segmentation. MIDL (ORAL), [2018] [CIFAR Travel Award] Supervised and Unsupervised Tumor Characterization in the Deep Learning Era. IEEE Transactions on Medical Imaging (under minor revision), [2018] Semi-Supervised Multi-Task Learning for Lung Cancer Diagnosis. IEEE EMBC, [2018] Deep Learning Beyond Cats and Dogs: recent advances in diagnosing breast cancer with deep neural networks. British Journal of Radiology, [2018] How to Fool Radiologists with Generative Adversarial Networks (GANs)? A Visual Turing Test for Lung Cancer Diagnosis. IEEE ISBI, [2018] Characterization of Lung Nodule Malignancy Using Hybrid Shape and Appearance Features. MICCAI, [2016] Download PDFs of the Papers See my ALL papers and/or bibliography at GOOGLE SCHOLAR Recent News 2018/November: "New Paper in Journal of the Transportation Research Board" AI assisted infrastructure assessment using mixed reality systems [LINK] 2018/October: I gave a talk as a "Featured Speaker" in MICR-2018 RCAI: Radiologist-Centered AI for Lung Cancer Diagnosis [LINK] 2018/October: "New Paper in Medical Image Analysis" C-CAD: Collaborative CAD with Eye-Tracking, Sparse Attentional Model, and Deep Learning [PDF] 2018/October: "New Paper in IEEE Transactions on Medical Imaging" Deep Geodesic Learning for Anatomy Segmentation and Landmarking [PDF] 2018/October: "I joined Plos One as an Academic Editor in" Artificial Intelligence, Deep Learning, Radiology and Imaging Sciences fields [LINK] 2018/September: "Media Release (FoxTV Interview)" Highly Accurate Lung Cancer Detection from CT Scans [LINK] 2018/August: "Recent Media Releases" Highly Accurate Lung Cancer Detection from CT Scans [LINK] 2018/August: "New Paper in IEEE Transactions on Biomedical Engineering" Muscle/Fat Separation and Whole Body Segmentation from MRI [PDF] 2018/July: "New Paper in Machine Learning in Medical Imaging/MICCAI 2018" Automatically Design CNNs for Medical Image Segmentation [PDF] 2018/June: "Patent Issued" Quantification-Brown/White, Regional, Organ, and Whole Body [LINK] 2018/June: "RSNA 2018 Presentation" Cardiac Image Analysis with Deep Learning [PDF] 2018/June: "RSNA 2018 Presentation" Virtual Radiologists: Current Status of Deep Learning in Radiology and Its Future Trends [PDF] 2018/June: "Congratulations to Sarfaraz Hussein who successfully defended his PhD thesis!" PhD Defense of Sarfaraz Hussein [LINK] 2018/May: "New Paper in MICCAI 2018" S4ND: Lung Cancer Detection in one shot! Best ever results! [PDF] 2018/April: "New Paper in MIDL 2018" New DL Architecture: Object Segmentation with Capsules (SegCaps)! [PDF] 2018/April: "New Paper in British Journal of Radiology" Deep Learning Beyond Cats and Dogs: Recent Advances in Diagnosing Breast Cancer with Deep Neural Networks [PDF] 2018/April: "New Paper in IEEE EMBC 2018" Semi-Supervised Multi-Task Learning for Lung Cancer Diagnosis [PDF] 2018/March: "New Paper in Medical Image Analysis journal" Joint Solution for PET Image Segmentation, Denoising, and Partial Volume Correcttion [PDF] 2017/December: "New Paper in IEEE ISBI 2018" How to "fool" radiologists with GAN! (visual Turing test) [PDF] 2017/December: "RSNA 2017 MERIT AWARD!" Deep Learning for Radiology Applications [LINK] 2017/December: "New Paper in IEEE ISBI 2018!" Deep Learning based IPMN (Pancreatic Cyst) Diagnosis [PDF] 2017/September: "New Paper in Medical Image Analysis journal!" Kidney and cortex segmentation work appears [PDF] 2017/August: "Brain Computer Interface (BCI) 2017 Award Nomination!" Harish's work on Deep Learning based functional mapping modality for presurgical evaluation of Epilepsy was nominated! [LINK] 2017/August: "MICCAI-RETOUCH Challenge paper!" Our deep learning based retinal fluid detection and quantification paper is accepted! [PDF] 2017/July: "MICCAI-STACOM 2017!" Our deep learning based Multimodality Whole Heart Segmentation is accepted! [PDF] Courses / Teaching CAP4453 Robot Vision (SPRING 2019) CAP4453 Robot Vision (SPRING 2018) CAP5415 Computer Vision (FALL 2017) CAP5415 Computer Vision (FALL 2016) CAP5415 Computer Vision (FALL 2015) CAP5516 Medical Image Computing (SPRING 2019) CAP5937 Medical Image Computing (SPRING 2017) CAP5937 Medical Image Computing (SPRING 2016) REU Lecture (SUMMER 2017)-Machine Learning in Medical Imaging REU Lecture (SUMMER 2016)-Machine Learning in Medical Imaging 1 REU Lecture (SUMMER 2016)-Machine Learning in Medical Imaging 2 REU Lecture (SUMMER 2015)-Machine Learning in Medical Imaging 1 REU Lecture (SUMMER 2015)-Machine Learning in Medical Imaging 2 Contact Me If you are interested in joining my group, make sure that you have research output, solid publication(s), and strong motivation to conduct AI/ML related research on biomedical imaging prblems before sending your CV to me. Address 4328 Scorpius St., HEC221, UCF, Orlando, FL 32816 Contact info: bagci@crcv.ucf.edu visit CRCV webpage: www.crcv.ucf.edu diff --git a/src/data/compiled_bios/3307.txt b/src/data/compiled_bios/3307.txt new file mode 100644 index 0000000000..e008ffa4b9 --- /dev/null +++ b/src/data/compiled_bios/3307.txt @@ -0,0 +1 @@ + Mostafa Bassiouni Mostafa A. Bassiouni Professor of Computer Science Department of Computer Science University of Central Florida Harris Engineering Center, Room 307 Phone: (407) 823-2837 Email: bassi@cs.ucf.edu Dr. Bassiouni obtained his Ph.D. in Computer Science from the Pennsylvania State University in 1982. He has been a member of the faculty of Computer Science at the University of Central Florida since 1982 and currently holds the rank of full professor. His research interests include computer networks, network security, distributed protocols, concurrency control, real-time simulation systems, temporal databases, data compression, and performance evaluation. Dr. Bassiouni has published more than 200 papers in technical journals, book chapters, and refereed conference proceedings. His research has been supported over the years by 30 external grants from several federal agencies, the State of Florida and industry. Funding agencies of these grants include: NSF, PMTRADE, FHTIC, DOD/ARPA, ARO, DOD MURI program, CBIS, and Army's STRICOM. Resume diff --git a/src/data/compiled_bios/3308.txt b/src/data/compiled_bios/3308.txt new file mode 100644 index 0000000000..b93c98b949 --- /dev/null +++ b/src/data/compiled_bios/3308.txt @@ -0,0 +1 @@ + Mainak Chatterjee - Home MENU HOME TEACHING STUDENTS ACTIVITIES RESEARCH PUBLICATIONS CONFERENCES CS DIVISION ECE DIVISION HOME TEACHING STUDENTS ACTIVITIES RESEARCH PUBLICATIONS CONFERENCES MAINAK CHATTERJEE mainak @ eecs.ucf.edu (407)-823-5793 Department Fax: (407)-823-5835 HEC 305 P.O. Box 162362 4000 Central Florida Blvd. Orlando, FL 32816-2362 Mainak Chatterjee BIOGRAPHY Mainak Chatterjee is an Associate Professor in the Department of Computer Science with secondary joint appointment in the Department of Electrical and Computer Engineering at the University of Central Florida. He received his Ph.D. from the department of Computer Science and Engineering at the University of Texas at Arlington. He received his M.E. degree in Electrical Communication Engineering from the Indian Institute of Science. Prior to that, he did his B.Sc. in Physics from Presidency College, University of Calcutta. His primary research interests are in the broad areas of computer networking and mobile computing, particularly economic issues in wireless networks, applied game theory, cognitive radio networks, dynamic spectrum access, network science, and mobile video delivery. He co-founded the ACM Workshop on Mobile Video (MoVid). He serves on the editorial board of several journals. He has served on the executive and technical program committee of several international conferences. He is the recipient of the AFOSR sponsored Young Investigator Program (YIP) award. He is one of the Directors for the Networking and Mobile Computing Lab (NetMoC) at UCF. diff --git a/src/data/compiled_bios/3309.txt b/src/data/compiled_bios/3309.txt new file mode 100644 index 0000000000..725fc7e0b7 --- /dev/null +++ b/src/data/compiled_bios/3309.txt @@ -0,0 +1 @@ + Dr. Damian Dechev AREA67 Home The Team Dr. Damian Dechev Christina Peterson Kenneth Lamar Lance Lebanoff Ramin Izadpanah Victor Cook Zachary Painter Alumni Pierre LaBorde Deli Zhang Steven Feldman Projects Publications Courses Dr. Damian Dechev Home The Team Dr. Damian Dechev Biography Dr. Damian Dechev is an Associate Professor at the CS Department at the University of Central Florida and the founder of AREA 67. Damian completed his Ph.D. in 2009 from Texas A&M University under the supervision of Dr. Bjarne Stroustrup. Prior to joining UCF, Dr. Dechev worked for Sandia National Laboratories and the Jet Propulsion Laboratory. Dr. Dechev specializes in the design and analysis of multiprocessor data structures and algorithms. Dr. Dechevs research in multiprocessor algorithms design has been supported by grants from the National Science Foundation, Sandia National Laboratories, and the Department of Energy. Projects TLDS: Transactional Lock-free Data Structures TLDS provides a framework for developing transactional containers from lock-free ones. It includes five examples of transactional data structures, lock-free and obstruction-free versions of a linked list, and a skip list, and a lock-free hash map. We are currently working on supporting transactional data structures for non-linked containers and also transactions that are executed on multiple containers. CCSpec CCSpec is a tool that allows the user to check that their concurrent data structure meets a specified correctness condition. A correctness condition for a concurrent data structure defines the expected behavior of method calls. CCSpec can check any correctness condition in which a concurrent data structure is expected to exhibit equivalent behavior to the sequential counterpart. Tervel Tervel is a framework and library that unifies methodologies and techniques to enable the efficient implementation of wait-free algorithms. It includes a unified memory reclamation structure, progress assurance scheme, and a construct that limits recursive helping. It advocates a call-back centric design pattern to reduce code duplication, observable states, and improve code readability. Publications 2019 Workshop Participation Pierre LaBorde, Lance Lebanoff, Christina Peterson, Deli Zhang, Damian Dechev, Wait-free Dynamic Transactions for Linked Data Structures , In The 10th International Workshop on Programming Models and Applications for Multicores and Manycores (PMAM 19), Washington DC, USA, February 2019. 2018 Publications in Refereed Journals Deli Zhang, Pierre LaBorde, Lance Lebanoff, Damian Dechev , Lock-free Transactional Transformation , ACM Transactions on Parallel Computing (ACM TOPC), Vol. 5, No. 1, Article 6, June 2018. Publishers Page Publications in Conference Proceedings Ramin Izadpanah, Nichamon Naksinehaboon, Jim Brandt, Ann Gentile, Damian Dechev , Integrating Low-latency Analysis into HPC System Monitoring , In Proceedings of the 47th International Conference on Parallel Processing (ICPP 2018), Eugene, OR, August 2018. Publishers Page 2017 Publications in Refereed Journals Christina Peterson, Damian Dechev , Transactional Correctness Tool for Abstract Data Types , ACM Transactions on Architecture and Code Optimization, Vol. 14, No. 4, Article 37, November 2017. Publishers Page Pierre LaBorde, Steven Feldman, Damian Dechev , A Wait-Free Hash Map , International Journal of Parallel Programming (IJPP), Springer, 45(3): 421-448, 2017. Publishers Page Workshop Participation Zachary Painter, Christina Peterson, Damian Dechev , Lock-Free Transactional Adjacency List , In Proceedings of the 30th International Workshop on Languages and Compilers for Parallel Computing (LCPC), College Station, TX, October 2017. 2016 Publications in Refereed Journals Deli Zhang, Jeremiah Wilke, Gilbert Hendry, Damian Dechev , Validating the Simulation of Large-scale Parallel Applications Using Statistical Characteristics , ACM Transactions on Modeling and Performance Evaluation of Computing Systems (ACM TOMPECS), 1(1): 3:13:2, June 2016. Publishers Page Steven Feldman, Carlos Valeraleon, Damian Dechev , An Efficient Wait-Free Vector , IEEE Transactional on Parallel and Distributed Systems (IEEE TPDS), 27(3): 654-667, May 2016. Publishers Page Deli Zhang, Damian Dechev , A Lock-free Priority Queue Design Based on Multi-dimensional Linked Lists , IEEE Transactional on Parallel and Distributed Systems (IEEE TPDS), 27(3): 613-626, April 2016. Publishers Page Publications in Conference Proceedings Deli Zhang, Damian Dechev , Lock-free Transactions Without Rollbacks for Linked Data Structures , In Proceedings of the 28th ACM Symposium on Parallelism in Algorithms and Architectures (SPAA 2016), Pacific Grove, CA, July 2016, Acceptance Rate 24%,Outstanding Paper Award. Publishers Page Deli Zhang, Damian Dechev , An Efficient Lock-free Logarithmic Search Data Structure Based on Multi-dimensional List , In Proceedings of the 36th IEEE International Conference on Distributed Computing Systems (ICDCS 2016), Nara, Japan, June 2016, Acceptance Rate 68/386=17.6%. Publishers Page Ramin Izadpanah, Steven Feldman, Damian Dechev , A Methodology For Performance Analysis of Non-Blocking Algorithms Using Hardware and Software Metrics , In Proceedings of the 19th IEEE International Symposium on Object/component/service-oriented Real-time Distributed Computing (IEEE ISORC 2016), York, UK, May 2016. Publishers Page 2015 Publications in Refereed Journals Steven Feldman, Damian Dechev , A Wait-Free Multi-Producer Multi-Consumer Ring Buffer , ACM SIGAPP Applied Computing Review, Volume 15, Issue 3, October 2015. Publishers Page Matthew Sottile, Jason Dagit, Deli Zhang, Gilbert Hendry, Damian Dechev , Static Analysis Techniques for Semi-Automatic Synthesis of Message Passing Software Skeletons , ACM Transactions on Modeling and Computer Simulation (ACM TOMACS), 26(1): 4:1-4:24, September 2015. Publishers Page Deli Zhang, Brendan Lynch, Damian Dechev , Queue-Based and Adaptive Lock Algorithms for Scalable Resource Allocation on Shared-Memory Multiprocessors , International Journal of Parallel Programming (IJPP), Springer, 43(5): 721-751, August 2015. Publishers Page Steven Feldman, Pierre LaBorde, Damian Dechev , A Wait-Free Multi-Word Compare-and-Swap Operation , International Journal of Parallel Programming (IJPP), Springer, 43(4): 572596, February 2015. Publishers Page Publications in Conference Proceedings Eric Anger, Damian Dechev , Gilbert Hendry, Jeremiah Wilke, Sudhakar Yalamanchili, Application Modeling for Scalable Simulation of Massively Parallel Systems , In Proceedings of the 17th IEEE International Conference on High Performance Computing and Communications (IEEE HPCC 2015), New York, NY, August 2015. Publishers Page Steven Feldman, Pierre LaBorde, Damian Dechev , Tervel: A Unification of Descriptor-based Techniques for Non-blocking Programming , In Proceedings of the 15th IEEE International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS XV), Samos, Greece, July 2015. Publishers Page Andrew Barrington, Steven Feldman, Damian Dechev , A Scalable Multi-Producer Multi-Consumer Wait-Free Ring Buffer , In Proceedings of the 30th ACM/SIGAPP Symposium on Applied Computing (ACM SAC 2015), Salamanca, Spain, April 2015. Publishers Page Workshop Participation Steven Feldman, Deli Zhang, Damian Dechev , James Brandt, Extending LDMS to Enable Performance Monitoring in Multi-Core Applications , In Proceedings of the Monitoring and Analysis for High Performance Computing Systems Plus Applications (HPCMASPA) Workshop at IEEE Cluster 2015, Chicago, IL, September 2015. Publishers Page 2014 Publications in Conference Proceedings Deli Zhang, Gilbert Hendry, Damian Dechev , Tools for Enabling Automatic Validation of Large-scale Parallel Application Simulations , In Proceedings of 30th International Conference on Software Maintenance and Evolution (IEEE ICSME 2014), Victoria, British Columbia, Canada, September 2014. Publishers Page Workshop Participation Christina Peterson, Deli Zhang, Damian Dechev , Resource-Based Transaction Management for Best-Effort Hardware Transactional Memory , In Proceedings of the The First Workshop on Software Engineering for Parallel Systems (SEPS) co-located with SPLASH 2014, Portland, OR, October 2014. Gene Sher, Martin Kyle, Damian Dechev , Preliminary Results for Neuroevolutionary Optimization Phase Order Generation for Static Compilation , In Proceedings of the 11th Workshop on Optimizations for DSP and Embedded Systems (ODES 2014), Orlando, Florida, February 2014. Publishers Page 2013 Publications in Refereed Journals Damian Dechev , Pierre LaBorde, Steven Feldman, LC/DC: Lockless Containers and Data Concurrency: A Novel Nonblocking Container Library for Multicore Applications , IEEE Access, 1: 428-435, September 2013. Publishers Page Damian Dechev , Tae-Hyuk Ahn, Using SST/macro for Effective Analysis of MPI-based Applications: Evaluating Large-Scale Genomic Sequence Search , IEEE Access, 1: 625-645, July 2013. Publishers Page Publications in Conference Proceedings Deli Zhang, Brendan Lynch, Damian Dechev , Fast and Scalable Queue-Based Resource Allocation Lock on Shared-Memory Multiprocessors , In Proceedings of 17th International Conference on Principles of Distributed Systems (OPODIS 2013), Nice, France, December 2013. Publishers Page Steven Feldman, Akshatha Bhat, Pierre LaBorde, Qing Yi, Damian Dechev , Effective Use of Non-blocking Data Structures in a Deduplication Application , In Proceedings of the 4th ACM Conference on Systems, Programming, Languages and Applications: Software for Humanity (ACM SPLASH/Wavefront 2013), Indianapolis, IN, October 2013. Publishers Page Steven Feldman, Pierre LaBorde, Damian Dechev , A Practical Wait-Free Multi-Word Compare-and-Swap Operation , In Proceedings of the Many-Core Architecture Research Community Symposium, ACM Conference on Systems, Programming, Languages and Applications: Software for Humanity (ACM SPLASH/MARC 2013), Indianapolis, IN, October 2013. Publishers Page Brendan Lynch, Peter Pirkelbauer, Damian Dechev , Building Fast Concurrent Data Structures through Data Structure Families , In Proceedings of the Many-Core Architecture Research Community Symposium, ACM Conference on Systems, Programming, Languages and Applications: Software for Humanity (ACM SPLASH/MARC 2013), Indianapolis, IN, October 2013. Publishers Page Steven Feldman, Pierre LaBorde, Damian Dechev , Concurrent Multi-level Arrays: Wait-free Extensible Hash Maps , In Proceedings of the 13th IEEE International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS XIII), Samos, Greece, July 2013, Acceptance Rate 20%,Best Paper Award. Publishers Page Matthew Sottile, Amruth Dakshinamurhty, Gilbert Hendry, Damian Dechev , Semi-Automatic Extraction of Software Skeletons for Benchmarking Large-Scale Parallel Applications , In Proceedings of the 2013 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation (ACM PADS), Montreal, Canada, May 2013, Acceptance Rate 29/75=38.7%. Publishers Page 2012 Workshop Participation Damian Dechev , Narsingh Deo, Multiprocessor Programming in the Undergraduate Program NSF/TCPP Curriculum: 2nd Year of Early Adoption at the University of Central Florida , In Proceedings of the Second NSF/TCPP Workshop on Parallel and Distributed Computing Education (EduPar-12), 26th IEEE International Parallel & Distributed Processing Symposium (IPDPS), Shanghai, China, May 2012. 2011 Publications in Conference Proceedings Damian Dechev , The ABA Problem in Multicore Data Structures with Collaborating Operations , In Proceedings of the 7th International Conference on Collaborative Computing: Networking, Applications and Worksharing (CollaborateCom 2011), Orlando, FL, October 2011, Acceptance Rate 30%. Publishers Page Tae-Hyuk Ahn, Damian Dechev , Heshan Lin, Helgi Adalsteinsson, Curtis Janssen, Evaluating Performance Optimizations of Large-Scale Genomic Sequence Search Applications Using SST/macro , In Proceedings of the 1st International Conference on Simulation and Modeling Methodologies, Technologies and Applications, SIMULTECH 2011, Noordwijkerhout, The Netherlands, July 2011, Acceptance Rate 25/141=17.7%. Publishers Page Workshop Participation Amruth Dakshinamurthy, Curtis Janssen, Damian Dechev , A Compiler-based Framework for Automatic Extraction of Software Models for Exascale Hardware/Software Co-Design , In Proceedings of the Fifteenth Annual High Performance Embedded Computing Workshop (HPEC 2011), MIT Lincoln Laboratory, Lexington, MA, September 2011. Publishers Page Steven Feldman, Pierre LaBorde, Damian Dechev , A Lock-Free Concurrent Hash Table Design for Effective Information Storage and Retrieval on Large Data Sets , In Proceedings of the Fifteenth Annual High Performance Embedded Computing Workshop (HPEC 2011), MIT Lincoln Laboratory, Lexington, MA, September 2011. Publishers Page Narsingh Deo, Damian Dechev , Mahadevan Vasudevan, Multiprocessor Programming in the Undergraduate Program, NSF/TCPP Curriculum: Early Adoption at the University of Central Florida , In Proceedings of the First NSF/TCPP Workshop on Parallel and Distributed Computing Education (EduPar-11), 25th IEEE International Parallel & Distributed Processing Symposium (IPDPS), Anchorage, Alaska, May 2011. Publishers Page 2010 Publications in Conference Proceedings Peter Pirkelbauer, Damian Dechev , Bjarne Stroustrup, Support for the Evolution of C++ Generic Functions , In Proceedings of 3rd International Conference on Software Language Engineering (SLE 2010), Eindhoven, The Netherlands, October 2010, Acceptance Rate 17/62=27.4%. Publishers Page Damian Dechev , Peter Pirkelbauer, Bjarne Stroustrup, Understanding and Effectively Preventing the ABA Problem in Descriptor-based Lock-free Designs , In Proceedings of 13th IEEE International Symposium on Object/component/service-oriented Real-time Distributed Computing (IEEE ISORC 2010), Carmona, Spain, May 2010, Acceptance Rate 30%. Publishers Page Peter Pirkelbauer, Damian Dechev , Bjarne Stroustrup, Source Code Rejuvenation is not Refactoring , In Proceedings of 36th International Conference on Current Trends in Theory Workshop Participation and Practice of Computer Science (SOFSEM), Lecture Notes in Computer Science, Springer, January 2010, Acceptance Rate 36%. Publishers Page Workshop Participation Curtis Janssen, Helgi Adalsteinsson, Scott Cranford, Damian Dechev , David Evensky, Joe Kenny, Nicole Lemaster, Jackson Mayo, Ali Pinar, Andrew Taube, Exascale Co-design with Sandias Structural Simulation Toolkit (SST) Coarse-grained Components , In Proceedings of 1st International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computing Systems (PMBS 2010), Supercomputing (SC 2010), New Orleans, LA, November 2010. Publishers Page 2009 Publications in Conference Proceedings Damian Dechev , Bjarne Stroustrup, Scalable Nonblocking Concurrent Objects for Mission Critical Code , In Proceedings of 24th International Conference on Object-Oriented Programming, Systems, Languages, and Applications (OOPSLA 2009), ACM SIGPLAN, Orlando, Florida, October 2009, Acceptance Rate 25/144=17.4%. Publishers Page Damian Dechev , Bjarne Stroustrup, Reliable and Efficient Concurrent Synchronization for Embedded Real-Time Software , In Proceedings of 3rd IEEE International Conference on Space Mission Challenges for Information Technology (IEEE SMC-IT 2009), Pasadena, California, July 2009. Publishers Page Damian Dechev , Peter Pirkelbauer, Nicolas Rouquette, Bjarne Stroustrup, Semantically Enhanced Containers for Concurrent Real-Time Systems , In Proceedings of 16th Annual IEEE International Conference and Workshop on the Engineering of Computer Based Systems (IEEE ECBS 2009), San Francisco, California, April 2009. Publishers Page Damian Dechev , Bjarne Stroustrup, Model-Based Product-Oriented Certification , In Proceedings of 16th Annual IEEE International Conference and Workshop on the Engineering of Computer Based Systems (IEEE ECBS 2009), San Francisco, California, April 2009. Publishers Page Publications in Refereed Chapters in Edited Books Damian Dechev , Nicolas Rouquette, Peter Pirkelbauer, Bjarne Stroustrup, Programming and Validation Techniques for Reliable Goal-driven Autonomic Software , Book Chapter in Autonomic Communication, Vasilakos, A.; Parashar, M.; Karnouskos, S.; Pedrycz, W. (Eds.), ISBN: 978-0-387-09752-7, Springer, August 2009. Publishers Page 2008 Publications in Refereed Journals Damian Dechev , Rabi Mahapatra, Bjarne Stroustrup, Practical and Verifiable C++ Dynamic Cast for Hard Real-Time Systems , Journal of Computing Science and Engineering (JCSE), 375-393, December 2008. Publishers Page Publications in Conference Proceedings Damian Dechev , Nicolas Rouquette, Peter Pirkelbauer, Bjarne Stroustrup, Verification and Semantic Parallelization of Goal-driven Autonomous Software , In Proceedings of 2nd International Conference on Autonomic Computing and Communication Systems (ACM Autonomics 2008), Turin, Italy, September 2008, Acceptance Rate 30%. Publishers Page Damian Dechev , Rabi Mahapatra, Bjarne Stroustrup, David Wagner, C++ Fast Dynamic Cast in Autonomous Space Systems , In Proceedings of 11th IEEE International Symposium on Object/component/service-oriented Real-time Distributed Computing (IEEE ISORC 2008), Orlando, Florida, May 2008, Acceptance Rate 35%. Publishers Page 2006 Publications in Conference Proceedings Damian Dechev , Peter Pirkelbauer, Bjarne Stroustrup, Lock-free Dynamically Resizable Arrays , In Proceedings of 10th International Conference on Principles of Distributed Systems (OPODIS 2006), LNCS, Vol. 4305, 142-156, Bordeaux, France, December 2006, Acceptance Rate 30/233=12.9%. Publishers Page WordPress Theme | Total by Hash Themes diff --git a/src/data/compiled_bios/331.txt b/src/data/compiled_bios/331.txt new file mode 100644 index 0000000000..e953f3766e --- /dev/null +++ b/src/data/compiled_bios/331.txt @@ -0,0 +1 @@ +Name: Christiansen, Michael:: Position: Senior Lecturer:: Degrees: Ph.D., Computer Science and Engineering, Southern Methodist University, 1989; M.S., Computer Science and Mathematics, The University of Texas at Dallas, 1986; B.S., Computer Science and Mathematics, The University of Texas at Dallas, 1984; diff --git a/src/data/compiled_bios/3310.txt b/src/data/compiled_bios/3310.txt new file mode 100644 index 0000000000..0602898743 --- /dev/null +++ b/src/data/compiled_bios/3310.txt @@ -0,0 +1 @@ + Narsingh Deo Millican Chair Professor Director, Center for Parallel Computation University of Central Florida School of Electrical Engineering and Computer Science Harris Engineering Center, Room 361 Phone: (407) 823-6336 Email: deo@cs.ucf.edu Scholarly Achievements Former Ph.D. Students Books Selected publications Patents Narsingh Deo holds the Charles N. Millican Eminent Scholars Chair in Computer Science and is the Director of the Center for Parallel Computation at University of Central Florida, Orlando. Prior to this, he was a Professor of Computer Science at Washington State University, where he also served as the department chair Before that he was a Professor of Electrical Engineering and Computer Science at the Indian Institute of Technology, Kanpur, and a Member of Technical Staff at Jet Propulsion Laboratory. He has a Ph.D. from Northwestern University, an MS from Caltech and an undergraduate degree from Indian Institute of Scienceall in Electrical Engineering. He has held Visiting professorships at numerous institutionsincluding at the University of Illinois, Urbana; University of Nebraska, Lincoln; Indian Institute of Science, Bangalore; and IBM's T. J. Watson Research Center; ETH, Zurich; University of Sao Paulo, Brazil; Oak Ridge National Lab.; Australian National University, Canberra; Chuo University, Tokyo; Monash University, Melbourne, Australia; and IIT/Kharagpur. A Fellow of IEEE, a Fellow of the ACM, and Fellow of the ICA, Dr. Deo has authored four books in computer science (which have been translated into several languages, including Russian, Polish, and Japanese) and over 200 refereed research papers . He holds a number of patents in computer hardware and is a recipient of NASA's Apollo Achievement Award. Among his other awards are: Gold Medal of Patna University; Drake Scholar at Cal Tech; Governor's Award for Outstanding Contribution to High Tech Research in Florida (1989); UCF's Distinguished Researcher Award-89; UCF's Professorial Excellence Program Award (1997); UCF's Teaching Incentive Program Award (1999); and UCF's Excellence in Graduate Teaching Award (2001). He has served as an editor/guest editor for various journals--including the IEEE Trans. on Circuits & Systems and the Journal for Parallel and Distributed Computing. At present he is on the Editorial Boards for The Journal of Supercomputing, and the VLSI Design. He is currently the President of the Forum for Interdisciplinary Mathematics ( http://www.eecs.ucf.edu/fim ) His research interests include parallel algorithms and parallel data structures, network optimization algorithms, combinatorial computing, complex networks, and graph theory. Former Ph.D. Students Mahadevan Vasudevan(2012, UCF), EMC Greg Tener(2009, UCF), Google Sanjeeb Nanda (2007, UCF), ProActive Technologies Hemant Balakrishnan (2006, UCF), Amazon A. Cami (2005, UCF), Harvard Medical School Z. Nikoloski (2005, UCF), Max-Plank Institute for Molecular Plant Physiology, Berlin P. Micikevicius (2002, UCF), NVIDIA A. Abdalla (2001, UCF), Prof. Aman University, Jordan. K. Rajan (1999, UCF), Executive Director, Verizon, NJ. L. Mao (1999, UCF) Taiwanese Naval Research, Taiwan. N. Kumar (1997, UCF), Director of Engineering, Silicon Image A. Jain (1994, UCF), Prof., Boise State Univ. M. Medidi (1994, UCF), Prof., Boise State Univ T. Wilson (1992, UCF), Lockeed Martin S. K. Prasad (1990, UCF), Professor, Georgia State Univ. D. Sarkar (1988, UCF), Prof., Univ. of Miami S. K. Das (1988, UCF), Professor & CS Chair, Missouri U of S&T Y. B. Yoo (1983, WSU), Prof., Montana State Univ. G. M. Prabhu (1983, WSU), Prof., Iowa State Univ. M. J. Quinn (1983, WSU), Prof. & Dean of Engineering, Seattle Univ. A. S. Sethi , (1977, IIT/K), Professor, Univ. of Delaware M. S. Krishnamoorthy, (1977 IIT/K), Prof., RPI Patents Awarded Isolation Circuit, Including Diodes and a Resistance for Use in Highly Stable Timing Circuits , U.S. Patent No. 3,130,327; granted on April 21, 1964. (owned by Burroughs) Perforated Tape Reader Having Light Absorbent Tube Between Tape Recording , U.S. Patent No. 3,465,160; granted on September 2, 1969. (owned by Burroughs) Dual-Purpose Momentum Wheel for Spacecraft with Magnetic Recording , U.S. Patent No. 3,697,968; Granted on October 10, 1972 (owned by NASA) Books Published Graph Theory with Application to Engineering and Computer Science , Prentice-Hall, Englewood Cliffs, N.J., 1974, 480 pages. Combinatorial Algorithms: Theory and Practice , (withed with E.M. Reingold and J. Nievergelt, Prentice-Hall, Englewood Cliffs, NJ., 1977, 433 pages. System Simulation with Digital Computers , Prentice-Hall, Englewood Cliffs, N.J., 1979, 200 pages. Discrete Optimization Algorithms: With Pascal Programs , (withed with M.M. Syslo and J. S. Kowalik), Prentice-Hall, Englewood Cliffs, N.J., 1983, 542 pages. Selected List of Recent Publications Local Search for Identifying Communities in Large Random Graphs, Some Recent Advances in Mathematics and Statistics, (Ed. Y. P. Chaubey) World Scientific, 2013, pp. 86-99 (with M. Vasudevan). Efficient Community Identification in Complex Networks, Social Network Analysis and Mining (SNAM) Springer, Vol 2, 2012, pp. 345-359 (with M. Vasudevan). Community Identification in Dynamic and Complex Networks, Encyclopedia of Social Network Analysis and Mining (ESNAM), (Eds: R. Alhajj & J. Rokne), Springer, 2013 (with M. Vasudevan). Efficient isomorphism of Miyazaki graphs, Bull. Inst. Combinatorics &. Appl, Vol. 61, 2011, pp. 43-68 (with G. Tener). Traversing a graph for identifying communities" Congressus Numerantium, Vol. 209, 2011, pp. 111-128 (with M. Vasudevan). Community Identification Algorithm using Relative Edge Density, Congressus Numeratium, Vol.204, 2010, pp.147-160 (with M. Vasudevan). Community Discovery Algorithms: An Overview, Congressus Numeratium, Vol. 196, 2009, pp.127-142 (with M. Vasudevan and H. Balakrishnan). Techniques for Analyzing Dynamic Random Graph Models of Web-like Networks: An Overview, to appear in NETWORKS, 2008 (with A. Cami) A graph theoretic algorithm for placing data and parity to tolerate two disk failures in disk arrays, to appear in International Journal of Applied Mathematics and Computer Science , 2008. Efficient Techniques for Network Attack Identification, to appear in Congressus Numerantium , 2007 (with S. Nanda) Centrality Based Community Discovery, to appear in Congressus Numerantium , to appear 2007 (with H. Balakrishnan). Preferential Deletion in Dynamic Models of Web-like Networks Information Processing Letters , Vol. 102, 2007, pp. 156-162 (with A. Cami). A Highly Scalable Model for Network Attack Identification and Path Prediction, Proceedings of the IEEE SoutheastCon 2007, Richmond, VA, pp. 663 668, 2007 (with S. Nanda). Exploring Topological Properties of NMR Graphs, Proceedings of the 7th IEEE International Conference on Bioinformatics and Bioengineering , 2007, BIBE 2007, pp. 1304-1307 (with P. Micikevicius). Evolution in Web graphs Congressus Numerantium , Vol. 180 (2006), pp. 97-107 (with H. Balakrishnan). On the Complexity of Finding Optimal Global Alliances, Journal of Combinatorial Mathematics and Combinatorial Computing , Vol. 58 (2006), pp. 23-31 (with A. Cami, H. Balakrishnan, and R. Dutton). Linear-time Algorithms for Encoding Trees as Sequences of Node Labels, Congressus Numerantium , Vol 183 (2006), pp. 65-75 (with P. Micikevicius, S. Caminiti). Correlation model of worm propagation on scale-free networks Complexus, Vol.3, No. 1-3, pp 169 - 182, 2006 (with Z. Nikoloski and L. Kucera). Methods for Placing Data and Parity to Tolerate Two Disk Failures in Disk Arrays Using Complete Bipartite Graphs, Congressus Numerantium , Vol. 179 (2006), pp. 167 - 179 (with S. Nanda). Mining Parameters that Characterize Communities in Web-like Networks ," Proc. IEEE International Conference on Granular Computing , May 10 - 12, 2006, Atlanta, GA, pp. 188 -193 (with A. Cami ). Detecting Communities using Bibliographic Metrics , Proc. IEEE International Conference on Granular Computing , May 10 - 12, 2006, Atlanta, GA, pp. 293-298 (with H. Balakrishnan). Discovering Communities in Complex Networks , Proc. 44th ACM Southeast Conference , March 10-12, 2006, Melbourne, FL, pp. pp 280-285 (with H. Balakrishnan). Biologically Inspired Detection of Overlapping Network Communities" Proc. 44th ACM Southeast Conference , March 10-12, 2006, Melbourne, FL (with Z. Nikoloski and L. Kucera). Evaluation of a Graph-based Topical Crawler ," Proc. ICOMP'06 , June 26-29, 2006, Las Vegas, Nevada, pp. 393-399 (with A. Cami ). Graphs, in Handbook of Data Structures and Applications (eds. D. P Mehta and S. Sahni), Chapman & Hall/CRC, 2005, pp. 4-1 to 4-25. A Graph Theoretic Algorithm for Placing Data and Parity to Tolerate Two Disk Failures in Disk Array Systems," Proc. 9th IEEE International Conference on Information Visualisation IV05 , 6-8 July 2005, London, UK, pp. 542-549, (with S. Nanda). Degree-correlation of scale-free random graph process Proc. of the EuroComb 2005 , Berlin, Sept. 5-9, 2005, pp. 239-245 (with Z. Nikoloski and L. Kucera) Correlation Epidemiological Model for the Propagation of Network Worms on Large Scale-free Graphs, Proc. The 1st. European Conf. on Complex Systems , Paris, Nov. 13-18, 2005 (with Z. Nikoloski and L. Kucera). Degree-Correlation of a Scale-free Random Graph Process, DMTCS Proceedings, 2005, Vol. AE (with Cluster Computing for Determining Three-Dimensional Protein Structure, The Jour. of Supercomputing , Vol 34, 2005, pp. 243-271 (with P. Micikevicius). One-Factors and Hamiltonian Paths in Modeling Data and Parity Placement in Disk Array Systems, Congressus Numerantium , Vol. 176, 2005, pp. 191-199 (with S. Nanda). Greedy Community-Mining based on Clustering Coefficient , Congressus Numerantium , Vol 172, 2005, pp. 161-176 (with A. Cami ). Implementation and Analysis of a Parallel Algorithm for Radiocoloring , Congressus Numerantium , Vol. 167, 2004, pp. 87-96 (with H. Balakrishnan). Compression of Vertex Transitive Graphs , Congressus Numerantium , Vol. 167, 2004, pp. 161-173 (with B. Litow and A. Cami). An Algorithm for a Two-Disk Fault-Tolerant Array with (Prime-1) Disks, Congressus Numerantium , Vol. 171, 2004, pp. 13-23 (with S. Nanda). Graph Compression and the Zeros of Polynomials, Information Processing Letters , Vol. 92, 2004, pp. 39-44 (with B. Litow). On the Expected Number of Level-i Nodes in a Random Labeled Tree, Bulletin of the ICA , Vol. 41, 2004, pp. 51-60 (with G. Agnarsson and P. Micikevicius). Graph-Theoretic Structure of the World Wide Web, a chapter in Information Technology: Principles and Applications (eds. A. K. Ray and T. Acharya), Prentice-Hall, India, 2004, pp. 169-203 (with P. Gupta). The Game of Cops-and-Robbers on Graphs: A Model for Quarantining Cyber Attacks, Congressus Numerantium Vol. 162, pp. 193-215, 2003 (with Z. Nikoloski). Expected Value of the Diameter of a Random Graph, Congressus Numerantium Vol. 161, pp. 211-221, 2003 (with Y.Zhang). Parallel Algorithm for Radiocoloring a Graph , Congressus Numerantium Vol. 160, pp. 193-204, 2003 (with H. Balakrishnan). Graph-Theoretic Analysis of the World Wide Web: New Directions and Challenges, Mathematica Contemporanea, Vol. 25, pp. 49-70, 2003 (with P.Gupta). Diameter of a Random Graph and Its Implications for the Web Graph, Congressus Numerantium Vol. 160, pp. 109-116, 2003 (with P. Gupta). Course-Grained Parallelization of Distance-Bound Smoothing for the Molecular Conformation Problem, Lecture Notes In Computer Science LNCS , Vol. 2571 (Eds. Das & Bhattacharya) Springer-Verlag, Berlin, 2002, pp. 55-66 (With P. Micikevicius). Random-Tree Diameter and the Diameter-Constrained MST, International Jour. Of Computer Mathematics , Vol. 79, No. 6, 2002, pp. 651-663 (with A. Abdalla) A New Encoding for Labeled Trees Employing a Stack and a Queue, Bulletin of the Institute of Combinatorics and Its Applications , Vol. 34, 2002, pp. 77-85 (with P. Micikevicius). Two Protocols for Multicast Communication, Congressus Numerantium , Vol. 151, pp. 145-159, Dec. 2001 (with N. Sankaranarayanan and F. Suraweera). Graph Theoretic Web Algorithms: An Overview, Lecture Notes In Computer Science LNCS Vol. 2060 (eds. Bohme & Unger) Springer-Verlag, Berlin, 2001, pp. 91-102 (with P.Gupta). Prufer-Like Codes for Labeled Trees, Congressus Numerantium , Vol. 151, Dec. 2001, pp. 65-73, (with P. Micikevicius). Sampling the Web Graph with Random Walks, Congressus Numerantium , Vol. 149, Dec. 2001, pp. 65-73, (with P. Gupta). Computing Diameter-Constrained Minimum Spanning Tree in Parallel, Lecture Notes in Computer Science [eds.Bongiovanni, Gambosi, and Petreschi] No. 1767, pp. 17-31 Springer-Verlag, New York, 2000, (with A. Abdalla). Forbidden Pairs Combinatorics, Australasian Journal of Combinatorics , Vol. 22, pp. 91-99, 2000, (with B. Litow). Generating Edge-Disjoint Sets of Quadruples in Parallel for the Molecular Conformation Problem, Congressus Numerantium, Vol. 143, pp. 81-96, 2000 (with P. Micikevicius). Heuristics to Compute a Diameter-Constrained MST, Congressus Numerantium, Vol. 144, pp. 161-182, 2000 (with A. Abdalla and P. Gupta.). Computational Experience with a Parallel Algorithm for Tetrangle Inequality Bound Smoothing, Bulletin of Mathematical Biology , Vol. 61, No. 5, pp. 987-1008, 1999, (with K. Rajan). Memory-Efficient Enumeration of Constrained Spanning Trees, Information Processing Letters , Vol. 72, pp. 47-53, 1999, (with J. Nievergelt and A. Marzetta). Parallel Heuristics for the Diameter-Constrained MST Problem, Congressus Numerantium , Vol. 136 pp. 97-118, 1999, (with A. Abdalla and R. Franceschini). A Heuristic for a Leaf-Constrained Minimum Spanning Tree Problem, Congressus Numerantium , Vol. 141, pp. 61-72, 1999, (with P. Micikevicius). Constrained Spanning Tree Problems: Fast Approximate Methods and Parallel Computation, DIMACS Series on Discrete Mathematics and Theoretical Computer Science , American Math Society, Vol. 40, pp. 191-217, 1998 (with N. Kumar). Load Balancing in Parallel Battlefield Management Simulation on Local- and Shared-Memory Architectures, Computer Systems: Science & Engineering , Vol. 13, No. 1, pp. 55-65, 1998 (with M. Medidi and S. Prasad). Parallel Dictionaries Using AVL Trees, Journal of Parallel and Distributed Computing , Vol. 48, No. 1, 1998 pp. 146-155 (with M. Medidi). Generating Random Trees and Connected Graphs in Parallel, Congressus Numerantium , Vol. 130, pp. 7-18, 1998, (with V. Kumar and N. Kumar). Parallel Algorithm for Generating Disjoint 2-(v, 4, 1) Packings, Congressus Numerantium , Vol. 131, pp. 5-18, 1998, (with K. Rajan). Computation of Constrained Spanning Trees; A Unified Approach, Network Optimization: Lecture Notes in Economics and Mathematical Systems [eds. Pardalos, Hearn, and Hager] No. 450, pp. 194-220, Springer-Verlag, New York, 1997. A Comparison of Two Parallel Algorithms for the Degree-Constrained Minimum Spanning Tree Problem, Congressus Numerantium , Vol. 123, pp. 15-32, 1997 (with L. Mao, N. Kumar, and S. Lang). Parallel Computation of a Diameter-Constrained MST and Related Problems, Congressus Numerantium , Vol. 126, pp. 131-155, 1997 (with A. Abdallah, N. Kumar and T. Terry). Parallel Tetrangle-Inequality Bound-Smoothing on a Cluster of Workstations, Congressus Numerantium , Vol. 124, pp. 211-220, 1997 (with K. Rajan, N. Kumar). Minimum-Weight Degree-Constrained Spanning Tree Problem: Heuristics and Implementation on an SIMD Parallel Machine, Parallel Computing , Vol. 22, pp. 369-382, March 1996 (with B. Boldon and N. Kumar). A New Parallel Heuristic for the Quadratic Assignment Problem, International Journal of Computers and Their Applications , Vol. 3, No. 3, pp. 130-137, 1996, (with N. Kumar). Empirical Study of an Improved Tetrangle-Inequality Bound-Smoothing Algorithm, Congressus Numerantium , Vol. 117, pp. 15-31, 1996 (with N. Kumar and R. Addanki). Parallel Implementation of a Steiner-Minimal-Tree Heuristic, Congressus Numerantium , Vol. 119, pp. 19-32, 1996 (with N. Kumar and T. Tolley). Metric Graphs Elastically Embeddable in the Place, Information Processing Letters , Vol. 55, No. 6, pp. 309-315, Sept. 1995 (with N. Nievergelt). Parallel Algorithms for Maximum Subsequence and Maximum Subarray, Parallel Processing Letters , Vol. 5, No. 3, pp. 367-373, Sept. 1995 (with K. Perumalla). Minimum-Length Fundamental Cycle Set: New Heuristics and an Empirical Study, Congressus Numerantium , Vol. 107, pp. 141-154, Dec. 1995 (with N. Kumar and J. Parsons) Algorithms for Merging and Sorting in Encyclopedia of Computer Science and Technology , eds. A. Kent and J. G. Williams, Vol. 29, pp. 19-44, Marcel Dekker, 1994. Classification of Recursive Networks, Congressus Numerantium , Vol. 98, 1994, pp. 67-80 (with R. K. Govindaraju and M. S. Krishnamoorthy). An Optimal Parallel Algorithm for Merging Using Multiselection, Information Processing Letters , Vol. 50, No. 2, pp. 81-87, 1994 (with A. Jain and M. Medidi). Parallel Construction of (a, b) -trees ,The Journal for Parallel and Distributed Computing , Vol. 23 No. 3, pp. 442-448, 1994 (with A. Jain and M. Medidi). Fibonacci Networks Fibonacci Quarterly , Vol. 32, No. 4, pp. 329-345, 1994 (with R. K. Govindaraju and M. S. Krishnamoorthy). Multidimensional Interval Graphs Congressus Numerantium, Vol. 102, pp. 45-46, 1994 (with N. Kumar). Parallel Dictionaries on AVL Trees, Proc. 8th International Parallel Processing Symposium, Cancun, Mexico, April 26-29, 1994, pp. 878-882 (with M. Medidi). Parallel Reliability Algorithms and Implementations, in New Trends in System Reliability Evaluation, ed. K. B. Misra , pp. 165-184, Elsevier Science Publishers, 1993. Reverse Binary Graphs, Mathematical and Computer Modeling, Vol. 17, No. 11, 1993, pp. 49-60 (with S. K. Das and S. Prasad). Algorithms for Merging and Sorting, in Encyclopedia of Computer Science and Technology , eds. A. Kent and J.G. Williams, Vol. 29, pp. 19-44, Marcel Dekker, 1993. On Finding Euler Tours in Parallel Parallel Processing Letters , Vol. 3, No. 3, Sept. 1993, pp. 223-232 (with E. N. Caceres, S. Sastry, and J. L. Szwarcfiter). The Knapsack Problem with Disjoint Multiple-Choice Constraints, Naval Research Logistics , Vol. 39, No. 2, pp. 213-227, 1992 (with V. Aggarwal and D. Sarkar). Parallel Algorithms for Terminal-Pair Reliability, IEEE Trans. on Reliability , Vol. 41, No. 2, pp. 201-209, 1992 (with M. Medidi). Parallel Heap: Improved and Simplified, Proc. Sixth International Parallel Processing Symposium , March 1992, Beverly Hills, CA (with S. Prasad). Construction of Height Balanced Trees in Parallel, Proc. 1992 International Conference on Parallel Processing , Vol. III, pp. 297-300, Aug. 1992 (with A. Jain and M. Medidi). Parallel Heap: An Optimal Parallel Priority Queue, The Journal of Supercomputing , Vol. 6, pp. 87-98, 1992 (with S. Prasad). Stirling Networks: A Versatile Combinatorial Topology for Multiprocessor Systems, Discrete Applied Mathematics , Vol. 38, pp. 119-146, 1992 (with S. K. Das and J. Ghosh). On Pascal Graphs, Congressus Numerantium, Vol. 90, pp. 141-150, 1992 (with R. Brigham and R. Dutton). Two EREW Algorithms for Parentheses Matching, Proc. Fifth International Parallel Processing Symposium, pp. 126-131, April, 1991, Anaheim, CA (with S. Prasad). Parallel Algorithms for Merging and Sorting, Information Sciences , Vol. 56, pp. 151-161, 1991 (with D. Sarkar). Reverse Binary Digraphs and Graphs, Journal of Combinatorics , Information & System Sciences, Vol. 16, No. 1, pp. 107-128, 1991 (with S. K. Das and S. Prasad). Division Digraphs and Graphs, Congressus Numerantium, Vol. 84, pp. 149-159, 1991 (with T. Wilson). Reverse Binary Digraphs, Congressus Numerantium, Vol. 71, pp. 53-66, 1990 (with S. K. Das and S. Prasad). Notes on Divide-and-Conquer Based Optimal Parallel Algorithms for Some Graph Problems on EREW PRAM Model, IEEE Trans on Circuits and Systems , Vol. CAS-37, pp. 962-965, 1990 (with S. K. Das). Parallel Graph Algorithms for Hypercube Computers, Parallel Computing , Vol. 13, pp. 143-158, 1990 (with S. K. Das and S. Prasad). Parallel Hungarian Algorithm, Computer Systems Science and Engineering , Vol. 5, pp. 131-136, 1990 (with S. K. Das). Estimating the Speedup in Parallel Parsing, IEEE Trans. on Software Engineering , Vol. 16, pp. 677-683, 1990 (with D. Sarkar). Parallel Heap, Proc. 1990 International Conference on Parallel Processing , Vol. 3, pp. 169-172, August 1990 (with S. Prasad). Two Minimum Spanning Forest Algorithms for Fixed-Size Hypercube Computer, Parallel Computing , Vol. 15, pp. 179-187, 1990 (with S. K. Das and S. Prasad). Forest-Based Parallel Graph Algorithms on Hypercube Computers, Proc. HCCA4 (Fourth Conference on Hypercube Concurrent Computers and Applications) , pp. 395-398, March 6-8, 1989, Monterey, CA (with S. K. Das and S. Prasad). Data Structures for Parallel Computation, in Supercomputing: Computers and System Sciences , Vol. 62, 1989, pp. 341-355, Springer-Verlag. Toeplitz Networks and Their Properties, IEEE Trans. on Circuits and Systems , Vol. 36, No. 8, August 1989, pp. 1089-1092 (with M. S. Krishnamoorthy). An Eigenvector Characterization of Cospectral Graphs Having Cospectral Joins, Annals of New York Academy of Science , Vol. 555, 1989, pp. 159-166 (with Allen J. Schwenk and Frank Harary). Parallel Coloring of Graphs: Two Approximate Algorithms, International Journal of Computer Mathematics , Vol. 27, No. 3, pp. 147-158, 1989 (with S. K. Das). Gate Matrix Layout Revisited: Algorithmic Performance and Probabilistic Analysis, Springer-Verlag LNCS , Vol. 405, pp. 280-290, 1989 (with S. K. Das and S. Prasad). Parallel Algorithms for Parenthesis Matching and Generation of Random Balanced Sequences of Parentheses, Springer-Verlag LNCS , Vol. 297, pp. 970-984, 1988 (with D. Sarkar). Divide-and-Conquer-Based Optimal Parallel Algorithms for Some Graph Problems on EREW PRAM Model, IEEE Trans. Circuits and Systems , Vol. 35, No. 3, March 1988, pp. 312-322 (with S. K. Das). A Comparison of Terminal-Pair Reliability Algorithms, IEEE Trans. on Reliability , June 1988, Vol. 37, No. 2 , pp. 210-215 (with Y. B. Yoo). Parallel Algorithms and Architectures, The Journal of Supercomputing , Vol. 1, pp. 301-325, 1988 (with D. Buell, et. al.) On Certain Planar Coverings of Complete Graphs, Congressus Numerantium, Vol. 66, pp. 33-44, December 1988 (with D. Sarkar). Exact and Approximate Solutions for the Gate Matrix Layout Problem, IEEE Trans. CAD-ICS. , Vol 6, No. 1, Jan. 1987, pp. 79-84 (with M. S. Krishnamoorthy and M. A. Langston). Rencontres Graphs: A Family of Bipartite Graphs, Fibonacci Quarterly , Vol. 25, August 1987, pp. 250-262 (with S. K. Das). An Optimal Parallel Parsing Algorithm for a Class of Block-Structured Languages, Proc. 1987 International Conference on Parallel Processing , August 1987, pp. 585-588 (with D. Sarkar). Square-Star Reduction and its Forbidden Graphs, Congressus Numerantium, Vol. 58, December 1987, pp. 277-290 (with S. K. Das). An Upper Bound for the Speedup of Parallel Branch-and-Bound Algorithms, BIT , Vol. 26, March 1986, pp. 35-43 (with M. J. Quinn). Stirling Graphs and Their Properties, Congressus Numerantium, Vol. 54, pp. 5-20, December 1986 (with S. K. Das). Estimating the Speedup in Parallel Parsing, Proc. 1986 International Conference on Parallel Processing , August, 1986, pp. 157-163 (with D. Sarkar). Shortest Path Algorithms: Taxonomy and Annotation, Networks , Vol. 14, 1984, pp. 275-323 (with C. Y. Pang). Parallel Graph Algorithms, ACM Computing Surveys , Vol. 16, No. 3, Sept. 1984, pp. 319-348 (with M. J. Quinn). The Ellipsoid Algorithms and the Graph Isomorphism Problem, Technique et Science Informatiques , Vol. 3, No. 5, 1984, pp. 327-333 (with G. M. Prabhu). A Perturbation for Testing Non-isomorphisms of Graphs, BIT , Vol. 24, 1984, pp. 302-307 (with G. M. Prabhu). Pascal Graphs and Their Properties, Fibonacci Quarterly , Vol. 21, 1983, pp. 203-214 (with M. J. Quinn). Algorithms for Generating Fundamental Cycles in a Graph, ACM Trans. on Mathematical Software , Vol. 8, No. 1, March 1982, pp. 26-42 (with M. S. Krishnamoorthy and G. M. Prabhu). Parallel Algorithms for the Single Source Shortest Path Problem, Computing , Vol. 29, pp. 31-49, 1982 (with P. Mateti). Parallel Algorithms for the Minimum Spanning Tree Problem, Proc. 1981 International Conf. of Parallel Processing , Aug. 25-28, 1981, pp. 188-189 (with Y. B. Yoo). Two Parallel Algorithms for Shortest Path Problems, Proc. 1980 International Conf. on Parallel Processing , Aug. 26-29, 1980, pp. 244-253 (with C. Y. Pang and R. E. Lord). Interference in Multiprocessor Systems with Localized Memory Access Probabilities, IEEE Trans. on Computers , Vol. C-28, No. 2, pp. 157-163, Feb. 1979 (with A. S. Sethi). Minimum-Length Fundamental-Cycle-Set, IEEE Trans. on Circuits and Systems , Vol. CAS-26, No. 10, Oct. 1979. Complexity of the Minimum Dummy Activities Problem in a PERT Network, Networks , Vol. 9, No. 3, 1979, pp. 189-194 (with M. S.. Krishnamoorthy). Node-Deletion NP-Complete Problems, SIAM Journal on Computing , Vol. 8, No. 4, pp. 619-625, Nov. 1979, (with M. S. Krishnamoorthy). Generalization of Line Graphs and Applications, Information Processing Letters , Vol. 6, No. 1, pp. 14-16, Feb. 1977 (with A. B.. Pai and M. S.. Krishnamoorthy). A New Algorithm for Digraph Isomorphism, BIT , Vol. 17, No. 1, 1977, pp. 16-30 (with J. M. Davis and R. E.. Lord). Note on Hopcroft and Tarjan's Planarity Algorithms, Jour. ACM , Vol. 23, No. 1, pp. 74-75, Jan. 1976. On Algorithms for Enumerating All Circuits of a Graph, SIAM J. Computing , Vol. 5, No. 1, p. 90-99, March 1976 (with P. Mateti). Tree Graphs and Tree Numbers, IEEE Trans. on Circuits and Systems , Vol. CAS-22, No. 1, pp. 60-61, Jan. 1975 (with M. S.. Krishnamoorthy). diff --git a/src/data/compiled_bios/3311.txt b/src/data/compiled_bios/3311.txt new file mode 100644 index 0000000000..ffb0948c23 --- /dev/null +++ b/src/data/compiled_bios/3311.txt @@ -0,0 +1 @@ + Ronald D. Dutton School of Electrical Engineering and Computer Science Faculty Ronald D. Dutton Ph.D., Computer Science, Washington State University Program Director and Graduate Program Coordinator of Computer Science Joint Appointment with Department of Mathematics University of Central Florida School of Electrical Engineering & Computer Science Computer Science Building, Room 263 Phone: (407) 823-2920 email: dutton@cs.ucf.edu Research Interests algorithms graph theory complexity Recent courses taught COT 5405, Design and Analysis of Algorithms COP 3502 Computer Science I Publications Papers in Refereed Journals Papers in Refereed Proceedings Some Personal Info diff --git a/src/data/compiled_bios/3312.txt b/src/data/compiled_bios/3312.txt new file mode 100644 index 0000000000..e70390d72b --- /dev/null +++ b/src/data/compiled_bios/3312.txt @@ -0,0 +1 @@ + Chinwendu Enyioha Welcome to Dr. Chinwendu Enyioha's research group website. Chinwendu Enyioha Welcome to Dr. Chinwendu Enyioha's research group website. Search for: Skip to content Home Research Publications Awards Teaching Invited Talks News Openings Home Chinwendu Enyioha, PhD Assistant Professor Electrical Engineering & Computer Science University of Central Florida Harris Engineering Center HEC-416 +1 (407) UCF 0122 Research Overview My research group conducts basic and applied research in the areas of distributed optimization and control of networked dynamic and cyber-physical systems. Given the growth in the number of connected devices, the need for higher channel capacity for information flow, and critical/integral nature of modern technical system, the overarching research objectives are to develop efficient tools and techniques for decision making in large-scale resource-constrained systems. Application areas include Cyber-physical systems (CPS) such as energy/power systems and multi-robot teams. Research Interests Communication-efficient optimization in distributed decision making Safety and security of CPS Learning-based control of dynamic processes on networks. Resource-aware control of Energy systems and emerging IoT networks. Group Openings My research group is always scouting for talented PhD and undergraduate students to join in our research projects. We are especially recruiting for Fall 2019. If you are interested in working with us, please send an email to Dr. Enyioha with your CV. Current students at UCF and visiting students and scholars are also welcome to join our group. See current openings for details. Bio Chinwendu Enyioha is an Assistant Professor in the EECS Department at the University of Central Florida (UCF). Prior to arriving UCF, he was a Postdoctoral Fellow in the EE Department at Harvard University and Tufts University. He completed the Ph.D.in Electrical and Systems Engineering at the University of Pennsylvania, supervised by George Pappas and Ali Jadbabaie, in the areas of networked dynamical systems, and cyber-physical systems. At Penn, Dr. Enyioha was affiliated with the GRASP (Robotics) Lab and the PRECISE Center. Before that, he completed the BS in Mathematics (Summa Cum Laude) at Gardner-Webb University (GWU). Dr. Enyioha is a Fellow of the Ford Foundation , was named a William Fontaine Scholar at the University of Pennsylvania and has received the Mathematical Association of America Patterson award , amongst others. His research lies in the areas of optimization and resource-aware control of large-scale systems, with applications to multi-robot systems and cyber-physical networks. Proudly powered by WordPress | Theme: Radiate by ThemeGrill . diff --git a/src/data/compiled_bios/3313.txt b/src/data/compiled_bios/3313.txt new file mode 100644 index 0000000000..9a1e55a568 --- /dev/null +++ b/src/data/compiled_bios/3313.txt @@ -0,0 +1 @@ + Rickard Ewetz - Home MENU HOME RESEARCH PUBLICATIONS TEACHING GROUP CS DIVISION ECE DIVISION HOME RESEARCH PUBLICATIONS TEACHING GROUP Rickard Ewetz Rickard.Ewetz@ucf.edu (407) 823-4766 Department Fax: (407) 823-5835 HEC 235 Assistant Professor Electrical and Computer Engineering University of Central Florida Rickard Ewetz Rickard Ewetz is currently an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Central Florida. He received his Ph.D. degree in Electrical and Computer Engineering from Purdue University, West Lafayette, IN, in 2016. He received a M.S. degree in Applied Physics and Electrical Engineering from the University of Linkping, Sweden, in 2011. Dr. Ewetz's primary research interests lie within computer-aided design (CAD): Physical design: clock network synthesis, timing driven placement, layer assignment. Memristor-based computing: acceleration of deep neural networks (DNNs) and low-power IoT applications. diff --git a/src/data/compiled_bios/3314.txt b/src/data/compiled_bios/3314.txt new file mode 100644 index 0000000000..1232f6f01a --- /dev/null +++ b/src/data/compiled_bios/3314.txt @@ -0,0 +1 @@ + Deliang Fan - Home MENU HOME PUBLICATIONS RESEARCH TEACHING GROUP CS DIVISION ECE DIVISION HOME PUBLICATIONS RESEARCH TEACHING GROUP Deliang Fan dfan@ucf.edu Office: (407) 823-4476 Department Fax: (407) 823-5835 HEC 343 Deliang FAN, Ph.D . Assistant Professor Electrical and Computer Engineering University of Central Florida Deliang Fan BIOGRAPHY I am currently an Assistant Professor in the Department of Electrical and Computer Engineering at University of Central Florida. I received M.S. and Ph.D. degrees, under the supervision of Prof. Kaushik Roy , in Electrical and Computer Engineering from Purdue University , West Lafayette, IN, USA, in 2012 and 2015, respectively. Research Interest: Energy Efficient and High Performance Big Data Processing-In-Memory Circuit, Architecture and Algorithm (e.g. Deep Neural Network, Data Encryption, Graph Processing and Bioinformatics Acceleration-in-Memory) Efficient Deep Learning Neural Network Accelerator Circuit and Architecture Automated Hardware Aware Deep Neural Network Generation and Compression Algorithm Security of Deep Neural Network System Brain-inspired (Neuromorphic) and Boolean Computing Using Emerging Nanoscale Devices like Spintronics, ReRAM and Memristors AI Edge IoT Computing Nano-scale Physics Based Spintronic Device (GMR/ TMR Vertical Spin Valve, Magnetic Skyrmion, Lateral Spin Valve, Magnetic Domain Wall Strip, Spin-Torque Oscillator, Spin-Orbit Torque ) Modeling and Simulations Low Power Digital and Mixed Signal CMOS Circuit Design Academic Awards: Best Paper Award in IEEE Computer Society Annual Symposium on VLSI, Hong Kong, China, 2018 Best Paper Award in IEEE Computer Society Annual Symposium on VLSI, Bochum, Germany, 2017 Best Paper Candidate in Asia and South Pacific Design Automation Conference, Tokyo, Japan, 2019 Front Cover Paper in IEEE Transactions on Magnetics, Vol. 54, No.2, Feb. 2018 Academic Activities and Services: I have authored and co-authored 70+ IEEE/ACM peer-reviewed international journal/conference papers. My research group is funded by National Science Foundation, Semiconductor Research Corporation, UCF InHouse grant, SCEEE Research Initiation grant, etc. I serve as technical reviewers for over 20 international journals/conferences, such as Nature Electronics, IEEE TNNLS, TVLSI, TCAD, TNANO, TC, TCAS, ISCAS, ISLPED, etc. I also serve as the Techical Program Committee member of DAC, ICCAD, GLSVLSI, ISVLSI, ASP-DAC, ISCAS, ISQED, etc. I am the technical area chair of ISQED 2019, GLSVLSI 2019, and financial chair of ISVLSI 2019. diff --git a/src/data/compiled_bios/3315.txt b/src/data/compiled_bios/3315.txt new file mode 100644 index 0000000000..e3a3f77fdf --- /dev/null +++ b/src/data/compiled_bios/3315.txt @@ -0,0 +1 @@ + Hassan Foroosh Hassan Foroosh Professor Computational Imaging Laboratory (CIL) Department of Electrical Engineering and Computer Science, University of Central Florida Orlando, FL 32816 Office: HEC 212 (Engr. III) Phone: (407) 823-5299 Fax: (407) 823-5419 Email: foroosh@cs.ucf.edu Publications Projects Students Teaching Education: Ph.D., INRIA-UNSA, Sophia Antipolis, France, 1996. Appointments: Professor, Computer Science, UCF, 2014-present Associate Professor, Computer Science, UCF, 2008-2014 Assistant Professor, Computer Science, UCF, 2002-2008 Senior Research Scientist, UC Berkeley Assistant Research Professor, University of Maryland, College Park Areas of Interest : Computer Vision, Image Processing, Machine Learning, Signal Processing, and Multimedia. Short Bio: Hassan Foroosh is a Professor of Computer Science in the Department of Electrical Engineering and Computer Science at the University of Central Florida (UCF) and is the director of the Computational Imaging Laboratory (CIL) at UCF. Prior to joining UCF, he was a senior research scientist at the University of California, Berkeley (2000-2002), and prior to that an assistant research scientist at Center for Automation Research and the Institute for Advanced Computer Studies of the, University of Maryland, College Park (1997-2000). He received the MS and PhD degrees in Computer Science, specializing in computer vision and Image Processing, from INRIA -Sophia Antipolis in France in 1993, and 1996, respectively. He has authored and co-authored over 130 peer-reviewed journal and conference papers, and has been in the organizing and the technical committees of several international colloquia, such as ICCV, CVPR, ECCV, ICIP, and ICPR. Dr. Foroosh is a senior member of IEEE, and was an Associate Editor of the IEEE Transactions on Image Processing in 2003-2008. In 2004, he was a recipient of an academic excellence award from Sun MicroSystems, and the Pierro Zamperoni award from the International Association for Pattern Recognition (IAPR). He also received the Best Scientific Paper Award in the International Conference on Pattern Recognition of IAPR. His research has been sponsored by NASA, NSF, ONR, FPCE, and industry. Last Changed: July 17, 2005 diff --git a/src/data/compiled_bios/3316.txt b/src/data/compiled_bios/3316.txt new file mode 100644 index 0000000000..fc5028249b --- /dev/null +++ b/src/data/compiled_bios/3316.txt @@ -0,0 +1 @@ + Dr. Xinwen Fu @ UCF Dr. Xinwen Fu HOME TEACHING PUBLICATIONS AWARDS SERVICE STUDENTS Associate Professor Department of Computer Science College of Engineering and Computer Science University of Central Florida 4000 Central Florida Blvd Orlando, FL 32816 Office: Research Building 1, 378 E-mail : xinwenfu@ucf.edu Office phone: 407-823-5337 Fax: (407) 823-1488 Research Interests Computer Security and Privacy, Digital Forensics, Network Quality of Service (QoS) Dr. Xinwen Fu is an associate professor in the Department of Computer Science, University of Central Florida. He received B.S. (1995) and M.S. (1998) in Electrical Engineering from Xi'an Jiaotong University, China and University of Science and Technology of China respectively. He obtained Ph.D. (2005) in Computer Engineering from Texas A&M University. Dr. Fu won the 2nd place in the graduate category of the International ACM student research contest in 2002, the Graduate Student Research Excellence Award of the Department of Computer Science at Texas A&M University in 2004, the Merrill Hunter Award for Excellence in Research at Dakota State University in 2008 and the best paper award at International Conference on Communications (ICC) 2008, 2013, International Conference on Wireless Algorithms, Systems, and Applications (WASA) 2013, and International Performance Computing and Communications Conference (IPCCC) 2016. His students won the best student paper at the Colloquium for Information Security Education (CISSE) 2016 and the silver medal at the ACM Student Research Competition at ACM MobiCom 2011. His paper was chosen as the potlight Paper for the February 2014 issue of the IEEE Transactions on Mobile Computing (TMC) and July 2010 Issue of IEEE Transactions on Parallel and Distributed Systems (TPDS). His research was reported by various Media including CNN, Wired, Huffington Post, Forbes, Yahoo, MIT Technology Review, PC Magazine and aired on CNN Domestic and International and the State Science and Education Channel of China (CCTV 10). Dr. Fu's current research interests are in network security and privacy, network forensics, computer forensics, information assurance, system reliability and networking QoS. Dr. Fu has been publishing papers in conferences such as IEEE Symposium on Security and Privacy (S&P), ACM Conference on Computer and Communications Security (CCS), ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc), ACM Sensys (ACM Conference on Embedded Networked Sensor Systems), IEEE International Conference on Computer Communications (INFOCOM) and IEEE International Conference on Distributed Computing Systems (ICDCS), journals such as ACM/IEEE Transactions on Networking (ToN), IEEE Transactions on Dependable and Secure Computing (TDSC), IEEE Transactions on Parallel and Distributed Systems (TPDS), IEEE Transactions on Computers (TC), IEEE Transaction on Mobile Computing (TMC) and IEEE Transactions on Vehicular Technology (TVT), book and book chapters. He spoke at various technical security conferences including Black Hat. His research is supported by NSF. Dr. Fu is active in academic service. He has been serving as TPC members for various prestigious conferences including IEEE Infocom, IEEE ICDCS, and SecureComm. He was a Program Co-chair of Communications & System Security Symposium, IEEE Globecom 2011 and the program co-chair of TrustCom 2010, Symposium Co-chair of Communications, Information Security ofInternational Conference on Computing, Networking and Communications (ICNC) 2015, Security Track Chairs of IEEE International Conference on Trust, Security and Privacy in Computing and Communications (IEEE TrustCom-16), and Symposium Chair, Communications and Information Security of International Conference on Computing, Networking and Communications (ICNC 2017). Curriculum Vitae Latest News General Co-Chair, SecureComm 2019 - 15th EAI International Conference on Security and Privacy in Communication Networks, October 23-25, 2019, Orlando, United States Associate editor, IEEE Internet of Things Journal ( IoT-J ), Aug. 2018 Co-General Chair, 37th IEEE International Performance Computing and Communications Conference ( IPCCC ), November 17th - November 19th, 2018, Orlando, Florida, USA Hilton Orlando, Buena Vista Palace Best paper award, International Conference on Wireless Algorithms, Systems, and Applications (WASA), 2017 Dr. Xinwen Fu won the 2016 Teaching Excellence Award of Department of Computer Science, UMass Lowell We won the best paper at International Performance Computing and Communications Conference (IPCCC) 2016. Ph.D student Ms. Chao Gao won the 1st place prize of the poster competition at the 2016 Advanced Cyber Security Center (ACSC) annual conference. Our team won an Award of Excellence at GeekPwn 2016 Carnival for our IoT research ! Event in Chinese . NSF awarded us "New England Cybersecurity Operation and Research Center ( CORE )". Press release: Boston Globe and Lowell Sun report our NSA and DHS CAE-R center! We won CISSE 2016 best student paper award ! [ Paper ] [ PPT ] The University of Massachusetts Lowell has been designated as a National Center of Academic Excellence in Cyber Defense Research ( CAE-R ). Dr. Fu is a featured expert on cyber security at UMass Lowell. Dr. Xinwen Fu joined 2016 ACM CCS TPC State Science and education channel of China (CCTV) 10 - Approaching Science - "I see your password!" in Chinese with English Captions . Originals: Youtube or CCTV , June 4, 2015 Dr. Xinwen Fu gave a keynote speech at Cisco Internal Security Conference (SecCon) on Nov 19, 2014. Ph.D student Qinggang Yue presented at ACM CCS 2014 on Nov. 6, 2014. Our Privacy Enhancing Keyboard ( PEK ) has 1000+ installations by early Oct. 2014 since Aug. 2014! We were on CNN Domestic and International 6 times in July 2014! Ph.D student Qinggang Yue gave a talk at Black Hat USA 2014 on Aug. 6, 2014 Spotlight Paper for the February 2014 issue of the IEEE Transactions on Mobile Computing (TMC) Winner of Best Paper Award at Communication and Information Systems Security Symposium, IEEE ICC 2013 Dr. Xinwen Fu's Ph.D students Zhongli Liu and Yinjie Chen won silver medal at the ACM Student Research Competition (SRC) at ACM MobiCom 2011 with "HAWK: An Unmanned Mini Helicopter-based Aerial Wireless Kit for Search, Rescue and Surveillance" in Sep. 2011. Video of HAWK in action. Dr. Xinwen Fu won the 2010-2011 teaching award , Department of Computer Science. Dr. Xinwen Fu is Program Co-chair of Communications & System Security Symposium, Globecom 2011 Dr. Xinwen Fu presented an ACM CCS paper at Chicago on Nov. 12, 2009 Dr. Xinwen Fu gave a talk at Black Hat DC 2009, Slides ppt Dr. Xinwen Fu presented an IEEE S&P paper at Berkeley/Oakland, CA on May 21, 2007 diff --git a/src/data/compiled_bios/3317.txt b/src/data/compiled_bios/3317.txt new file mode 100644 index 0000000000..88e2cf47b5 --- /dev/null +++ b/src/data/compiled_bios/3317.txt @@ -0,0 +1 @@ + Paul Gazzillo - Paul Gazzillo Home News Research Publications Advising Teaching Service Links CV Paul Gazzillo Assistant Professor of Computer Science at University of Central Florida Join Us I am accepting PhD students for funded RAships in program analysis and security! Read about my research . Send me an email . Then apply to UCF. Contact APPLeSEEd Lab The Applied Programming Languages, Software Engineering, and Education (APPLeSEEd) Lab tackles problems in software, security, and systems and cultivates computational thinking. Homepage CyberSP Cluster The Cyber Security and Privacy (CyberSP) Cluster is a university-wide research cluster formed as part of the Faculty Cluster Initiative that focuses on security and privacy in cyberspace. Homepage Paul Gazzillo is an Assistant Professor of Computer Science at University of Central Florida . He received his PhD from NYU and previously worked as a Post-Doc at Yale and a Research Scholar at Stevens Institute. His research aims to make it easier to develop safe and secure software, and it spans programming languages, security, software engineering, and systems. Projects include analysis of configurable systems, side-channel attack detection, and concurrent smart contracts. His work has been published in venues such as PLDI, ESEC/FSE, and PODC and has been recognized with a SIGPLAN Research Highlight . Email Twitter LinkedIn GitHub Blog ACM dblp Scholar Calendar News Jan 2019 Jin Koay has joined as an undergraduate research assistant. Dec 2018 Our paper " Conditional Compilation is Dead, Long Live Conditional Compilation! " has been accepted to ICSE NIER! Sep 2018 I gave a talk on our SPLC Challenge Track paper " Localizing Configurations in Highly-Configurable Systems ". Aug 2018 Joined University of Central Florida as an assistant professor. May 2018 I was awarded a collaborative grant from the NSF on analyzing configurable systems. Apr 2018 I am excited to be joining UCF as an assistant professor this August! Mar 2018 We contributed "How to add concurrency to smart contracts" to the new Distributed Computing column of the Bulletin of the EATCS . See all news here . Contact: Email Twitter LinkedIn GitHub Blog ACM dblp Scholar Calendar 2019 Paul Gazzillo. Powered by Jekyll & Minimal Mistakes . diff --git a/src/data/compiled_bios/3318.txt b/src/data/compiled_bios/3318.txt new file mode 100644 index 0000000000..d1f5ec6378 --- /dev/null +++ b/src/data/compiled_bios/3318.txt @@ -0,0 +1 @@ + Demetrios Glinos's Home Page University of Central Florida Computer Science Department Demetrios G. Glinos Lecturer in Computer Science and Information Technology Ph.D., Computer Science, University of Central Florida J.D., Law, Georgetown University B.S., Physics and Mathematics, Trinity College Office: HEC-257 Phone: (407) 823-0682 Email: glinos@cs.ucf.edu Research Interests: Artificial intelligence; natural language processing; question answering systems; secure computing. Teaching: Spring 2019 Office Hours: Tuesdays and Thursdays 1:30 pm - 3:30 pm, or by appointment Courses: CAP 4630: Artificial Intelligence COP 3330: Object Oriented Programming COT 4500: Numerical Calculus All Courses Taught: CAP 6640: Natural LanguageUnderstanding CAP 5636: Advanced Artificial Intelligence CAP 5512: Evolutionary Computing CAP 4630: Artificial Intelligence CGS 2100: Computer Fundamentals for Business CIS 3360: Security in Computing COP 3330: Object Oriented Programming COT 3100: Introduction to Discrete Structures COT 4500: Numerical Calculus diff --git a/src/data/compiled_bios/3319.txt b/src/data/compiled_bios/3319.txt new file mode 100644 index 0000000000..dceea58067 --- /dev/null +++ b/src/data/compiled_bios/3319.txt @@ -0,0 +1 @@ + Arup Guha's Home Page The easiest way to contact me is through email . My UCF Page My CV My Programming Contest Page Internal Studies/Surveys of My Classes Job Interview Page My High School Page My "Philanthropy" page Reviews of Books I've read (updated 3/26/2017) diff --git a/src/data/compiled_bios/332.txt b/src/data/compiled_bios/332.txt new file mode 100644 index 0000000000..ae5a60536a --- /dev/null +++ b/src/data/compiled_bios/332.txt @@ -0,0 +1 @@ +Name: Chung, Lawrence:: Position: Associate Professor:: Degrees: Ph.D., Computer Science, University of Toronto, 1993; M.Sc., Computer Science, University of Toronto; B.Dc., Computer Science, University of Toronto; Research Interests: Computer security; Data security; Lossless compression; Cryptology; RepresentativePublications: ; On non-functional requirements in software engineering.L Chung Conceptual Modeling: Foundations and , 2009 Springer.; ; ; Representing and using nonfunctional requirements: A process-oriented approach.J Mylopoulos, L Chung Software Engineering, IEEE , 1992 ieeexplore.ieee.org.; ; ; From object-oriented to goal-oriented requirements analysis.J Mylopoulos, L Chung Communications of the ACM, 1999 portal.acm.org.; ; diff --git a/src/data/compiled_bios/3320.txt b/src/data/compiled_bios/3320.txt new file mode 100644 index 0000000000..2abddc230a --- /dev/null +++ b/src/data/compiled_bios/3320.txt @@ -0,0 +1 @@ + Dr. Ratan Guha HOME Networking & Security Lab TEACHING PUBLICATIONS 2010 2009 2008 2007 2006 2005 2004 2003 and older CV Dr. Ratan Kumar Guha Professor, School of Electrical Engineering and Computer Science , UCF . Research Interests Distributed systems, computer networks, security protocols, modeling and simulation, and computer graphics. Advising Faculty for Networking and Security Lab. Short Bio Dr. Ratan Guha is a professor in the School of Electrical Engineering and Computer Science at the University of Central Florida . He received his B.Sc. degree with honors in Mathematics and M.Sc. degree in Applied Mathematics from University of Calcutta and received the Ph.D. degree in Computer Science from the University of Texas at Austin in 1970. He has authored over 125 papers published in various computer journals, book chapters and conference proceedings. His research has been supported by grants from ARO, NSF, STRICOM, PM-TRADE, NASA, and the State of Florida. He has served as a member of the program committee of several conferences, as the general chair of CSMA98 and CSMA2000 and as the guest co-editor of a special issue of the Journal of Simulation Practice and Theory. He is a member of ACM, IEEE, and SCS and served as a member of the Board of Directors of SCS from 2004 to 2006. He is currently serving in the editorial board of two journals: International Journal of Internet Technology and Secured Transactions(IJITST) published by Inderscience Enterprises , and Modelling and Simulation in Engineering published by Hindawi Publishing Corporation . Contact Information School of Electrical Engineering and Computer Science , University of Central Florida , 4000 Central Florida Blvd., Orlando, FL 32816 Email: guha@eecs.ucf.edu Web: www.eecs.ucf.edu/~guha Phone: (407) 823 2956 Fax: (407) 823 5419 diff --git a/src/data/compiled_bios/3321.txt b/src/data/compiled_bios/3321.txt new file mode 100644 index 0000000000..55d23d021b --- /dev/null +++ b/src/data/compiled_bios/3321.txt @@ -0,0 +1 @@ + Dr. Mark Heinrich Mark Heinrich Associate Professor, CS School of Electrical Engineering and Computer Science Mailing Address: Computer Science Dept, University of Central Florida 4000 Central Florida Blvd. Orlando, FL 32816-2362 Email: heinrich@cs.ucf.edu Office: CSB 252 Phone: (407) 823-5341 Fax: (407) 823-5419 Research Interests Computer architecture, parallel computer architecture, active memory and I/O systems, scalable cache coherence protocols, system-area networks, multiprocessor simulation methodology, and hardware/software co-design. Bio Started at UCF as an Associate Professor in January, 2003. Prior to that, I was an Assistant Professor in the School of Electrical and Computer Engineering at Cornell University , a co-founder of its Computer Systems Laboratory , and a member of the Intelligent Information Systems Institute . I received my Ph.D. in Electrical Engineering from Stanford University under John Hennessy in 1998 where I was a principal designer of the FLASH multiprocessor ; the author of FlashLite, the system-level simulator of the FLASH machine; and the designer of four cache coherence protocols for FLASH (bitvector/coarsevector, dynamic pointer allocation, SCI, and a 2-bit protocol). I received my MS from Stanford in 1993, and my BSE in Electrical Engineering and Computer Science from Duke University in 1991. I was also the co-founder and Chief Architect of Flashbase, Inc. an Internet company specializing in automated sweepstakes and database-backed forms and tools for customer acquisition. Oh, I am a HUGE sports fan. When I'm not browsing ESPN's Sportszone , I'm usually checking out Duke sports news at Duke Basketball Report . Teaching Fall 2003: CDA 4150 Computer Architecture Publications M. Chaudhuri, M. Heinrich, C. Holt, et al. "Latency, Occupancy, and Bandwidth in DSM Multiprocessors: A Performance Evaluation". To appear in IEEE Transactions on Computers , 52 (7), July 2003.( PDF ) M. Heinrich and M. Chaudhuri. "Ocean Warning: Avoid Drowning". ( To appear in Computer Architecture News) , June 2003. D. Kim, M. Chaudhuri, and M. Heinrich. "Active Memory Techniques for ccNUMA Multiprocessors". In Proceedings of the 17th International Parallel and Distributed Processing Symposium (IPDPS)) , April 2003.( PDF ) M.Chaudhuri and M. Heinrich. "Exploring Virtual Network Selection Algorithms in DSM Cache Coherence Protocols". (Submitted to IEEE Transactions on Parallel and Distributed Systems (TPDS)) , March 2003. M. Hao and M. Heinrich. "Active I/O Switches in System Area Networks". In Proceedings of the 9th International Symposium on High-Performance Computer Architecture (HPCA) , pages 365-376, February 2003.( PDF ) M. Chaudhuri, and M. Heinrich. "The Impact of Negative Acknowledgments in Shared Memory Scientific Applications". ( Submitted to IEEE Transactions on Parallel and Distributed Systems (TPDS)) , January 2003. D. Kim, M.Chaudhuri, M. Heinrich, and E. Speight. "Architectural Support for Uniprocessor and Multiprocessor Active Memory Systems". (To appear in IEEE Transactions on Computers) , November 2002. D. Kim, M. Chaudhuri, and M. Heinrich. "Leveraging Cache Coherence in Active Memory Systems". In Proceedings of the 16th International Conference on Supercomputing (ICS) , pages 2-13, June 2002. ( PDF ) M. Chaudhuri, D. Kim, and M. Heinrich. "Cache Coherence Protocol Design for Active Memory Systems". In Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA) , pages 83-89, June 2002. ( PDF ) M. Heinrich, E. Speight, and M. Chaudhuri. "Active Memory Clusters: Efficient Multiprocessing on Commodity Clusters". In Proceedings of the Fourth International Symposium on High-Performance Computing (ISHPC), Lecture Notes in Computer Science, vol. 2327 , Springer-Verlag, pages 78-92, May 2002. ( PDF ) M. Heinrich and E. Speight. "Providing Hardware DSM Performance at Software DSM Cost". Cornell Computer Systems Lab Technical Report CSL-TR-2000-1008 , November 2000.( Postscript ) J. Gibson, R. Kunz, D. Ofelt, M. Horowitz, J. Hennessy, and M. Heinrich. "FLASH vs. (Simulated) FLASH: Closing the Simulation Loop". In Proceedings of the 9th International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) , pages 49-58, November 2000.( PDF ) A. Chou, B. Chelf, D. Engler, and M. Heinrich. "Using Meta-Level Compilation to Check FLASH Protocol Code". In Proceedings of the 9th International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) , pages 59-70, November 2000.( Postscript ) R. Manohar and M. Heinrich. "A Case For Asynchronous Active Memories". ISCA 2000 Solving the Memory Wall Problem Workshop , June 2000.( Postscript ) R. Manohar and M. Heinrich. "The Branch Processor Architecture". Cornell Computer Systems Lab Technical Report CSL-TR-1999-1000 , November 1999.( Postscript ) J. Hennessy, A. Gupta, and M. Heinrich, "Cache-Coherent Distributed Shared Memory: Perspectives on Its Development and Future Challenges". Proceedings of the IEEE , 87 (3):418-429, Special Issue on Distributed Shared Memory, March 1999.( Postscript ) M. Heinrich, R. Soundararajan, J. Hennessy, and A. Gupta, "A Quantitatitve Analysis of the Performance and Scalability of Distributed Shared Memory Cache Coherence Protocols". IEEE Transactions on Computers , 48 (2):205-217, Special Issue on Cache Memory and Related Problems, February 1999.( PDF ) M. Heinrich, " The Performance and Scalability of Distributed Shared Memory Cache Coherence Protocols ". Ph.D. Dissertation , Stanford University, October 1998. R. Soundararajan, M. Heinrich, B. Verghese, et al. "Flexible Use of Memory for Replication/Migration in Cache-Coherent DSM Multiprocessors". In Proceedings of the 25th International Symposium on Computer Architecture (ISCA) , pages 342-355, June 1998. ( Postscript ) K. Olukotun, M. Heinrich, and D. Ofelt, "Digital System Simulation: Methodologies and Examples". In Proceedings of the 35th Design Automation Conference (DAC) , pages 658-663, June 1998.( Postscript ) M. Heinrich, D. Ofelt, M. Horowitz, and J. Hennessy, "Hardware/Software Codesign of the Stanford FLASH Multiprocessor". In Proceedings of the IEEE Special Issue on Hardware/Software Co-design , Vol. 85, No. 3, March 1997.( Postscript ) M. Martonosi, D. Ofelt, and M. Heinrich, "Integrating Performance Monitoring and Communication in Parallel Computers" . In ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems , pp. 138-147, May 1996.( Postscript ) J. Hennessy and M. Heinrich, "Hardware/Software Co-Design of Processors: Concepts and Examples". In Hardware/Software Co-design , edited by G. de Micheli and M. Sami, Dordecht; Boston: Kluwer Academic Publishers, c. 1996.( Postscript ) C. Holt, M. Heinrich, J.P. Singh, et al., "The Effects of Latency, Occupancy, and Bandwidth in Distributed Shared Memory Multiprocessors" . Stanford University Technical Report CSL-TR-95-660, January 1995.( Postscript ) M. Heinrich, J. Kuskin, D. Ofelt, et al., "The Performance Impact of Flexibility in the Stanford FLASH Multiprocessor" . In Proceedings of the 6th International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) , pages 274-285, 1994.( Postscript ) J. Kuskin, D. Ofelt, M. Heinrich, et al., "The Stanford FLASH Multiprocessor" . In Proceedings of the 21st International Symposium on Computer Architecture (ISCA) , pages 302-313, April 1994.( Postscript ) Reprinted in Selected Papers from 25 Years of ISCA , pages 485-496, August 1998. diff --git a/src/data/compiled_bios/3322.txt b/src/data/compiled_bios/3322.txt new file mode 100644 index 0000000000..5fc9cefb9b --- /dev/null +++ b/src/data/compiled_bios/3322.txt @@ -0,0 +1 @@ + Haiyan (Nancy) Hu Associate Professor Computer Science Department University of Central Florida Office: HEC-233 Phone: 407-882-0134 Email: haihu at cs.ucf.edu Mail: UCF, 4000 Central Florida Blvd, Harris Engineering Center, Bldg. 116, Room 233, Orlando, Fl. 32816-2005 Lab Page Research Interests Bioinformatics/Computational Biology Data Mining; Machine Learning; Pattern Recognition Grants & Projects Computational study of non-coding RNAs Computational methods to study epigenetic and genetic Regulation Genome-Phenome Association Big and Small Data mining, Machine Learning and Statistical Pattern Recognition <<>> Teaching CAP5510 Introduction to Bioinformatics CAP 6545 Machine Learning in Bioinformatics CAP 6938 Advanced Topics in Machine Learning COT3100H Introduction to Discrete Structures (Honors) CAP6938 Graphs and Networks in Computational Biology COT3100 Introduction to Discrete Structures CAP6938 Data Mining in Bioinformatics COP3503 Computer Science II ( CS2 ) Publications Li X, Naser SA, Khaled A, Hu H, Li X. When old metagenomic data meet newly sequenced genomes, a case study . PLoS One, DOI:10.1371 / journal.pone .0198773 . 2018. Li X, Ge P, Hu H. FlexSLiM : a novel approach for short linear motif discovery in protein sequences . The 6th International Conference on Bioinformatics and Computational Biology, DOI : 10.1145/3194480.3194501. 2018. Ding J, Li X, Hu H. CCmiR : a computational approach for competitive and cooperative microRNA binding prediction . Bioinformatics, DOI:10.1093/bioinformatics/btx606. 2017. Wang Y, Goodison S, Li X, Hu H. Prognostic cancer gene signatures share common regulatory motifs . Scientific Reports, DOI:10.1038/s41598-017-05035-3. 2017. Zheng Y, Li X, Hu H, Discover the semantic structure of Human reference epigenome by differential latent Dirichlet allocation. IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2017). Wang Y, Hu H, Li X. rRNAFilter : a fast approach for ribosomal RNA read removal without a reference database. Journal of Computational Biology, DOI: 10.1089/cmb.2016.0113. 2016. Zhao C, Li X, Hu H. PETModule : a motif module based approach for enhancer target gene prediction. Scientific Reports, DOI: 10.1038/srep30043. 2016. Wang Y, Hu H, Li X. MBMC: An Effective Markov Chain Approach for Binning Metagenomic Reads from Environmental Shotgun Sequencing Projects. OMICS: A Journal of Integrative Biology, DOI:10.1089/omi.2016.0081. 2016. Li X, Zheng Y, Hu H, Li X. Integrative analyses shed new light on human ribosomal protein gene regulation. Scientific Reports, DOI: 10.1038/srep28619. 2016. Ding J, Li X, Hu H. TarPmiR : a new approach for microRNA target site prediction . Bioinformatics. DOI: 10.1093/bioinformatics/btw318. 2016. Zheng Y, Li X, Hu H. PreDrem : a database of predicted DNA regulatory motifs from 349 human cell and tissue samples. DATABASE - The Journal of Biological Databases and Curation, DOI: 10.1093/database/bav007. 2015. Wang Y, Hu H, Li X. MBBC: an efficient approach for metagenomic binning based on composition , BMC Bioinformatics, 2015. DOI:10.1186/s12859-015-0473-8 Ding J, Li X, Hu H. MicroRNA modules prefer to bind weak and unconventional target sites . Bioinformatics, 31 (9): 1366 - 1374. DOI: 10.1093/bioinformatics/btu833. 2015. Ding J, Dhillon V, Li X, Hu H. Systematic Discovery of Cofactor Motifs from ChIP-seq Data by SIOMICS . Methods. DOI: 10.1016/j.ymeth.2014.08.006. 2015. Zheng Y, Li X, Hu H. Comprehensive discovery of DNA motifs in 349 human cells and tissues reveals new features of motifs . Nucleic Acids Research. DOI : 10.1093/ nar / gku1261 . 2014. Zheng Y, Li X, Hu H. Computational discovery of feature patterns in nucleosomal DNA sequences . Genomics, 104 (2). DOI: 10.1016/j.ygeno.2014.07.002. 2014. Wang Y, Li X, Hu H. H3K4me2 reliably defines transcription factor binding regions .Genomics . DOI: 10.1016/j.ygeno.2014.02.002, 2014. Ding J, Hu H, Li X. SIOMICS: a novel approach for systematic identification of motifs in ChIP-seq data , Nucleic Acids Research., 42 (5): e35 , DOI : 10.1093/ nar / gkt1288 , 2014. Ding J, Hu H, Li X. NIM, A novel computational method for predicting nuclear-encoded chloroplast proteins, Journal of Medical and Bioengineering, 2(2): 115-119. DOI: 10.12720/jomb.2.2.115-119, 2013. Ding J, Cai X, Wang Y, Hu H, Li X. ChIPModule : Systematic discovery of transcription factors and their cofactors from ChIP-seq data , Pac Symp Biocomput . 2013. Ding J, Li X, Hu H. Systematic discovery of cis-regulatory elements in Chlamydomonas reinhardtii genome using comparative genomics , Plant Physiology, DOI: 10.1104/pp.112.200840, 2012. Ruppert SM , Chehtane M , Zhang G , Hu H , Li X , Khaled AR. JunD /AP-1-Mediated gene expression promotes lymphocyte growth dependent on Interleukin-7 signal transduction. PLoS ONE 7(2): e32262 . DOI:10.1371/journal.pone .0032262, 2012. Li W, Hu H, Huang Y, Li H, Mehan MR , Nunez-Iglesias J, Xu M, Yan X, Zhou XJ. Pattern mining across many massive networks. Book Chapter in Functional Coherence of Biological Networks . Springer, M. Koyuturk , S. Subramaniam , and A. Grama Eds., 137-170, 2012. Wang Y, Ding J, Daniell H, Hu H, Li X. Motif analysis unveils the possible co-regulation of chloroplast genes and nuclear genes encoding chloroplast proteins . Plant Mol Biol , 80(2): 177-187. DOI:10.1007/s11103-012-9938-6, 2012. Ding J, Hu H, Li X. Thousands of cis-regulatory sequence combinations are shared by Arabidopsis and Poplar . Plant Physiology, DOI: http://dx.doi.org/10.1104/pp.111.186080, 2011. Wang Y, Li X, Hu H. Transcriptional regulation of co-expressed microRNA target genes. Genomics . DOI:10.1016/j.ygeno .2011.09.004, 2011. Li W, Hu H, Huang Y, Li H, Mehan MR , Nunez-Iglesias J, Xu M, Yan X, and Zhou XJ. Frequent pattern discovery in multiple biological networks: algorithms and applications . Statistics in Biosciences, p. 1-20. DOI: 10.1007/s12561-011-9047-0, 2011. Hu H. Mining patterns in disease classification forests . Journal of Biomedical Informatics, 43(5):820-7, 2010. DOI:10.1016/j.jbi .2010.06.004 Hu H. An efficient algorithm to identify coordinately activated transcription factors . Genomics, 95(3):143-50, 2010. DOI: 10.1016/j.ygeno.2009.12.006. Cai X, Hou L, Su N, Hu H, Deng M, Li X. Systematic identification of conserved motif modules in the human genome . BMC Genomics, 11:567, 2010. doi:10.1186/1471-2164-11-567 Hu H, Li X. Whole genome identification of target genes of transcription factors. The 2010 International Conference On Bioinformatics and Biomedical Technology, Chengdu, China. April 16-18, 2010. DOI: 10.1109/ICBBT.2010.5479016 Hu H, Li X. Hierarchical order of gene expression levels . The 2010 International Conference On Bioinformatics and Biomedical Technology, Chengdu, China. April 16-18, 2010. DOI: 10.1109/ICBBT.2010.5479017 Hu H, Li X. Transcription factor binding site identification by phylogenetic footprinting . Book Chapter in Frontiers in Computational and Systems Biology, 113-132, 2010. Cai X, Hu H, Li X. A new measurement of sequence conservation. BMC Genomics, 10:623, 2009. Hu H. An efficient method to identify conditionally activated transcription factors and their corresponding signal transduction pathway segments . Bioinformatics and Biology Insights, 3:179-187, 2009. Hu J, Hu H, Li X. MOPAT: a graph-based method to predict recurrent cis-regulatory modules from known motifs . Nucleic Acids Res, 36(13):4488-4497, 2008. Hu H, Li X. Networking Pathways unveils Association between Obesity and Non-Insulin Dependent Diabetes Mellitus . Pac Symp Biocomput.13 : 255-66, 2008. Hu H, Li X. Transcriptional regulation in eukaryotic ribosomal protein genes , Genomics. 90(4):421-3, 2007. Cai X, Hu H, Li X. Tree Gibbs Sampler: Identifying Conserved Motifs without Aligning Orthologous Sequences . Bioinformatics. 23(15):2013-4, 2007. Huang Y, Li H, Hu H, Yan X, Waterman MS, Huang H, Zhou XJ. Systematic Discovery of Functional Modules and Context-Specific Functional Annotation of Human Genome . Bioinformatics, 23(13 ):i 222-i229, 2007. Pan F, Kamath K, Zhang K, Pulapura S, Achar A, Nunez-Iglesias J, Huang Y, Yan X, Han J, Hu H, Xu M, Zhou XJ. I ntegrative Array Analyzer: a software package for analysis of cross-platform and cross-species microarray data . Bioinformatics. 22(13):1665-7, 2006. Hu H, Yan X, Huang Y, Han J, Zhou XJ. Mining coherent dense subgraphs across massive biological networks for functional discovery . Bioinformatics. 21 Suppl. 1, i213-i221, 2005. Pan F, Kamath Kiran, Hu H, Huang Y, Zhang K, Xu M, Yan X, Han J and Zhou XJ. BioArrayMiner : A software package for integrative analysis of cross-platform and cross-species microarray data. Bioinformatics (ISMB 2005). Xue L, Sun X, Yang L, Hu H, Li W. Study on the control system of casing-bag machine hand. New Technology & New Process 6: 11-13, 1999. Sun X, Hu H, Pang J, Xue L. Physical Realization of Palletizing Robot Computer Control System. Journal of Beijing Institute of Petro-Chemical Technology 2:1008-2565, 1999. Xue L, Sun X, Yang L, Zhang S, Hu H. Robot for sheathing bags and PLC control, Low Voltage Apparatus 5: 38-39+64, 1998. diff --git a/src/data/compiled_bios/3323.txt b/src/data/compiled_bios/3323.txt new file mode 100644 index 0000000000..c85687b448 --- /dev/null +++ b/src/data/compiled_bios/3323.txt @@ -0,0 +1 @@ + Data Systems Group - University of Central Florida - DSG - EECS Porno izle Porno video Home Projects TabletopPage Faculty Students Publications Site Web Search Login antalya escort We are Data Systems Group at University of Central Florida. UCF is one of the oldest and largest phd granting programs in computer science in state of Florida.Our group consists of around 17 Ph.D students and a faculty member. We also collaborate with other faculty members in Computer Science , Biology, and other departments. We are located in the Harris Engineering Center at UCF's main campus in Orlando. The research interests of the group are diverse and wide. We conduct cutting edge research on the following aspects of data Data Management Data Analysis Data Communication Data Security and Privacy We also pride ourselves with building industrial strength prototypes. Over the years our research has been supported by numerous funding agencies both government and private, including National Science Foundation, NASA, Florida Department of Transportation, Symantec Inc, Intel Inc, Oracle Corp., etc. We also work with the UCF Office of Research and Commercialization to commercialize our research. For all you prospective UCF applicants here is some useful information. UCF is known as the "hidden jewel" of Florida. It is located in a metropolitan city of Orlando. These are exiciting times for UCF and orlando. UCF got just a new arena and a new stadium. A new medical school has been approved and will be operationaly by 2009. Burham institute for medical Research has selected Orlando as their new research site in Florida. UCF will partner with them to conduct cutting edge research in medical field. Orlando is ranked 1 for the number of jobs it created in 2006-2007. We encourage you to be part of such exciting growth by applying to theUCF CS program. pornos porno porno izle rokettube porno video mobil porno mobil porno We are Data Systems Group at University of Central Florida. UCF is one of the oldest and largest Ph.D granting programs in computer science in state of Florida. We collaborate with faculty members in Computer Science, Biology, and other departments. We are located in the Harris Engineering Center at UCF's main campus in Orlando. The Data Systems Group is a part of the Department of Electrical Engineering and Computer Science , a department in the College of Engineering and Computer Science . For additional information please contact Dr. Kien A. Hua < kienhua@eecs.ucf.edu > Copyright 2016 by Data Systems Group Terms Of Use Privacy Statement porno porno porno ? porno porno izle porno diff --git a/src/data/compiled_bios/3324.txt b/src/data/compiled_bios/3324.txt new file mode 100644 index 0000000000..c58fa103cb --- /dev/null +++ b/src/data/compiled_bios/3324.txt @@ -0,0 +1 @@ + Charles E. Hughes Home Page C HARLES E. H UGHES ceh@cs.ucf.edu Pegasus Professor, Computer Science Co-Director, Synthetic Reality Lab at IST in Partnership III, Research Park TeachLivE Principal: TeachLivE Co-Director, Center for Research in Education Simulation Technology (CREST) Co-Lead, Learning Science Faculty Cluster Contributing Faculty: Institute for Simulation & Training Affiliate Faculty, Computational Imaging Laboratory Class & Office Hours Class: COT6410, TR 1:30PM-2:45PM, HEC-103 Office Hours: TR 3:15PM - 4:45PM, HEC-247C Teaching Interests Computer Science I Honors (Data Structures) Undergraduate (COP3502H) -- Notes are on Webcourses Computer Science II (Algorithm Design and Analysis) Undergraduate ( COP3503H ) Compiler Construction/ Systems Programming Undergraduate ( COP3402 ) Theory of Computation Undergraduate ( COT4210 ) Graduate ( COT6410 ) Concepts of Parallel and Distributed Processing Resume Detailed CV Research Interests Virtual Learning Environments Human-Centered Computing Affective Computing Application of VR Experiences to Interpersonal Skills Development Theory of Computation Tree of Life (Tree Manipulation and Reasoning) Students (Recent and Current) Recent PhD Graduates Thomas Carbone, Psychomotor Skill Measurement of Video Game Players , December 2018. Sungchul Jung, Personalized Digital Body: Enhancing Body Ownership and Spatial Presence in Virtual Reality , May 2018 . Ahmad Abualsamid, Applied Software Tools for Supporting Children with Intellectual Disabilities , May 2018 Behnaz Nojavanasghari, Complex Affect Recognition in the Wild , December 2017 (co-director LP Morency, Carnegie-Mellon). Roghayeh (Leila) Barmaki , Gesture Assessment of Teachers in an Immersive Rehearsal Environment , August 2016. Alyssa Tanaka, The Effect of Videogame Play on Robotics Surgery Skill Acquisition , December 2015. Aleshia Hayes, The Experience of Presence and Social Presence in a Virtual Learning Environment as Impacted by the Affordance of Movement Enabled Motion Tracking , August 2015. Yiyan (Lucy) Xiong, Automatic 3D human Modeling: An Initial Stage towards 2-Way Inside Interactions in Mixed Reality , December 2014. Emiko Charbonneau, Bridging the Gap between Fun and Fitness: Instructional Techniques and real-World Applications for Full-Body Dance Game , August 2013 (co-director: Joseph LaViola) Nicholas Beato, Towards Real-Time Mixed Reality Matting in Natural Scenes , December 2012 Jared Johnson, Algorithms for Rendering Optimization , May 2012 Glenn Martin, Automatic Scenario Generation Using Procedural Modeling Techniques , May 2012 Paul Varcholik, Multi-Touch for General Pupose Computing: An Examination of Text Entry , May 2011 (co-director: Joseph LaViola) Sameer Joshi, Automation of Concept Acquisition , December 2008 Mark Colbert, Appearance-Driven Material Design , August 2008 (co-director: Erik Reinhard) Yunjun Bird Zhang, Augmentation in Visual Reality , August 2007 Keith Garfield, A Sparse Program Dependence Graph for Object-Oriented Programming Languages , December 2006 (co-director: Rebecca Parsons) Felix Hamza-Lup, Dynamic Shared State Maintenance in Distributed Virtual and Mixed Reality Environments , July 2004 (co-director: Jannick Rolland) Current CS PhD Students Kamran Ali (Fulbright Fellow) Anthony Wehrer (joint with Curtis Lisle) Current M&S PhD Students Jeremy Joseph Julie Kent Current Undergraduate Students Thomas Anchor Donald Poland Active High School Students Ronald Xu (joined group in Fall 2016) Recent Publications (2005-) Journals: Barmaki, R., & Hughes, C. E. (2018). Embodiment Analytics of Practicing Teachers in a Virtual Rehearsal Environment. Journal of Computer Assisted Learning , 34(4), 387396. Abualsamid A., & Hughes C.E. (2018). Using Visual Interventions to Reduce Interfering Behaviors . Journal on Technology and Persons with Disabilities , Vol. 6, 378-384. Dieker, L. A., Hughes, C. E., Hynes, M. C., & Straub, C. (2017). Using simulated virtual environments to improve teacher performance. School University Partnerships (Journal of the National Association for Professional Development Schools) 10(3), 62-81. Taylor, M. S., Tucker, J., Donehower, C., Pabian, P., Dieker, L.A., Hynes, M.C., & Hughes, C. (In Press). Impact of virtual simulation on the interprofessional communication skills of physical therapy students. Journal of Physical Therapy Education 31(3), 83-90. Wehrer, A., Yee, A., Lisle, C., & Hughes, C. E. (2015). PhyloPen: Phylogenetic tree browsing using a pen and touch interface. PLOS Currents: Tree of Life . 2015 Nov 23, Edition 1. Dieker, L. A., Hynes, M. C., Hughes, C. E., Hardin, S., & Becht, K. (2015). TLE TeachLivE (TM): Using Technology to Provide Quality Professional Development in Rural Schools. Rural Special Education Quarterly 34(3), 11-16. Nagendran, A., Pillat, R., Kavanaugh, A., Welch, G., & Hughes C. E. (2014). A Unified Framework for Individualized Avatar-Based Interactions. Presence: Teleoperators and Virtual Environments 23(6), 109-132. Dieker, L. A., Straub, C., Hughes, C. E., Hynes M. C., & Hardin, S. E. (2014). Virtual environments can take us virtually anywhere . Educational Leadership , 71(8), 54-58. Dieker, L. A., Rodriguez, J., Lingnugaris-Kraft, B,. Hynes, M., & Hughes C. E. (2014). The Future of Simulated Environments in Teacher Education: Current Potential and Future Possibilities. Teacher Education and Special Education 37(1), 21-33 . ( 2015 Publication Award from the Teacher Education Division of the Council for Exceptional Children ) . Welch G, Nagendran A, Bailenson J, Hughes CE, Muller P, Squire P. (2014). Mastering the Human Element of Immersive Training, Naval Science & Technology Future Force, Fall 2014, 10-13. [Magazine] Hayes, A. T., Straub, C. L., Dieker, L. A., Hughes, C. E., & Hynes, M. C. (2013). Ludic Learning: Exploration of TLE TeachLivE and Effective Teacher Training. International Journal of Gaming and Computer-Mediated Simulations , 5(2), 2013, 23-36. Harmon, L. J., Baumes, J., Hughes, C., Soberon, J., Specht, C. D., Turner, W., Lisle C., & Thacker, R. W. (2013). Arbor: Comparative Analysis Workflows for the Tree of Life. PLOS Currents: Tree of Life , 2013 Jun 21 [last modified: 2013 Jun 21]. Edition 1. Norris, A. E., Hughes, C., Hecht, M. L., Peragallo N. P., & Nickerson, D. (2013). Randomized trial of a peer resistance skill-building game for Hispanic early adolescent girls. Nursing Research , 62(1), 25-35. Varcholik, P., LaViola, J. J., & Hughes, C. E. (2011). Establishing a baseline for text entry for a multi-touch virtual keyboard. International Journal of Human-Computer Studies, 70(10), October 2012, 657-672 . Walters, L. C., Hughes D. E., & Hughes, C. E. (2011). Interconnections: Revisiting the Future. Game and Culture , 6(6), 538-559. Risi, S., Hughes, C. E., & Stanley, K. O. (2010). Evolving plastic neural networks with novelty search. Adaptive Behavior , 18(6), 470-491 . Beato, N., Colbert, M., Zhang, Y., Yamazawa, K., & Hughes, C. E. (2009). Interactive Chroma-keying for Mixed Reality. Computer Animation and Virtual Worlds, 20(2-3), 405-415. (US Patent No. 8,477,149 B2. Fiore, S. M., Harrison, G. W., Hughes, C. E., & Rutstrm, E. (2009). Virtual Experiments and Environmental Policy. Journal of Environmental Economics and Management , 57(1), 65-86. Dieker, L., Hynes, M., Hughes, C. E., & Smith E. (2008). Implications of Mixed Reality and Simulation Technologies on Special Education and Teacher Preparation. Focus on Exceptional Children , 40(6), 1-20. Colbert, M., Reinhard E., & Hughes, C. E. (2007). Painting in High Dynamic Range. Journal of Visual Communication and Image Representation , 18(5), 387-396. Micikevicius, P., & C. E. Hughes (2007). Visibility-based Forest Walk-through Using Inertial Level of Detail Model. Journal of Defense Modeling and Simulation , 4(2), April 2007, 80-96. Fidopiastis, C. M., Stapleton, C. B., Whiteside, J. D., Hughes, C. E., Fiore, S. M., Martin, G. A.*, Rolland J. P., & Smith, E. M. (2006). Human Experience Modeler: Context Driven Cognitive Retraining to Facilitate Transfer of Training. CyberPsychology and Behavior , 9(2), 183-187. Stapleton, C. B., & Hughes, C. E. (2006). Believing is Seeing. IEEE Computer Graphics and Applications, 27(1), January/February 2006, 80-85. Xu, R., Pattanaik S. N., & Hughes, C. E. (2005). HDR Still Image Encoding in JPEG 2000. I EEE Computer Graphics and Applications, 26(6), 69-76. Hughes, C. E., Stapleton, C. B., Hughes, D. E., & Smith, E. (2005). Mixed Reality in Education, Entertainment and Training: An Interdisciplinary Approach. I EEE Computer Graphics and Applications , 26(6), 24-30. Konttinen, J., Hughes, C. E., & Pattanaik, S. N. (2005). The Future of Mixed Reality: Issues in Illumination and Shadows. J ournal of Defense Modeling and Simulation, 2(1), January 2005, 51-59. Book Chapters: Abualsamid, A., & Hughes, C. E. (2019). Modeling Augmentative Communication with Amazon Lex and Polly. In: Ahram T., Falco C. (eds) Advances in Usability, User Experience and Assistive Technology. AHFE 2018. Advances in Intelligent Systems and Computing , vol 794. Springer, Cham., 871-879 Abualsamid A., Hughes C.E. (2017). Why Is Video Modeling Not Used in Special Needs Classrooms? In: Andre T. (eds.) Advances in Human Factors in Training, Education, and Learning Sciences. AHFE 2017. Advances in Intelligent Systems and Computing , vol 596. Springer, Cham., 123-130. Abualsamid A., & Hughes C.E. (2017). Language Sample Analysis Framework Utilizing the Natural Language Toolkit and Social Media. In: Duffy V., Lightner N. (eds) Advances in Human Factors and Ergonomics in Healthcare. Advances in Intelligent Systems and Computing , vol 482. Springer, Cham, 445-456 Dieker, L. A., Lignugaris-Kraft, B., Hynes, M., & Hughes, C. E. (2016). Mixed reality environments in teacher education: Development and future applications. In Online in Real Time: Using WEB 2.0 for Distance Education in Rural Special Education , Eds. B. Collins & B. Ludlow, American Council for Rural Special Educators, Chapter 12, 122-131. Hughes, C. E., Nagendran, A., Dieker, L., Hynes M., & Welch, G. (2015). Applications of Avatar-Mediated Interaction to Teaching, Training, Job Skills and Wellness. In Virtual Realities Dagstuhl Seminar 2013 , Eds. G. Burnett, S. Coquillard, R VanLiere & G. Welch, Springer LNCS, 8844. 133-146. Nagendran, A., Welch, G., Hughes, C. E., & Pillat, R. (2015). Exploring human surrogate characteristics. In Virtual Realities: Lecture Notes in Computer Science , 8844, Eds. G. Burnett, S. Coquillard, R VanLiere & G. Welch, Springer LNCS, 215-238. Lindgren, R., Moshell J. M., & Hughes, C. E. (2014). Virtual environments as a tool for conceptual learning. In Handbook of virtual environments: Design, implementation, and applications (2nd Edition), Eds. K. Hale & K. M. Stanney, Chapter 40, 1043-1055. Erbiceanu, E., Mapes, D., & Hughes, C. E. (2014). Modeling Attention and Interaction in Small Groups of Virtual Characters. In Non-Verbal Communication in Virtual Worlds: Understanding and Designing Expressive Characters , Eds. J. Tanenbaum, M. Nixon & M. Seif el-Nasr, ETC Press, Carnegie-Mellon, Chapter 16, 269-287. Lopez, A. L., Hughes, C. E., Mapes, D. P., & Dieker, L. A. (2012). Cross Cultural Training through Digital Puppetry. In Advances in Design for Cross-Cultural Activities Part I , Chapter 25, Edited by Denise M. Nicholson, CRC Press, 247-256. Martin, G. A., Hughes, C. E., & Moshell, J. M. (2012). Analysis of a Procedural System for Automatic Scenario Generation. In Advances in Applied Human Modeling and Simulation , Chapter 54, Edited by Vincent G. Duffy, CRC Press, 536-544. Schutz, L. E., Rivers, K. O., McNamara E. A., & Hughes, C. E. (2010). The Rehabilitation of Shaken Soldier Syndrome: A Coordinated System of Community-Situated Postacute Treatment for Blast-Injured Veterans. In Military Psychiatry: New Developments , Eds.: D. G. Stanton & L. R. Castenada, Nova Science Publishers, Chapter 3, 71-106. Hughes, D., Smith, E., Shumaker R., & Hughes, C. E. (2009). Virtual Reality for Accessibility. In Universal Access Handbook , CRC Press, Chapter 12, 12-1 12-10. Hughes, D., Jerome, C., Hughes C. E., & Smith, E. The Application and Evaluation of Mixed Reality Simulation. In T he PSI Handbook of Virtual Environments for Training and Education: Developments for the Military and Beyond, Volume 3, Praeger Security International, Westport, CT, 254-277. Walters, L., Smith, E., & Hughes C. E. (2008). The Future of Museum Experiences. In The PSI Handbook of Virtual Environments for Training and Education: Developments for the Military and Beyond , Colume 3, Praeger Security International, Westport, CT, 444-452. Hughes, C. E, Stapleton, C. B., & OConnor, M. (2006). The Evolution of a Framework for Mixed Reality Experiences. In E merging Technologies of Augmented Reality: Interfaces and Design , Idea Group, Inc., Hershey, PA, 198-216. Stapleton, C. B., & Hughes, C. E. (2006). Making Memories for a Lifetime. In Emerging Technologies of Augmented Reality: Interfaces and Design , Idea Group, Inc., Hershey, PA, 329-351. Adabala, N., & Hughes, C. E. (2005). Gridless Controllable Fire. In Game Programming Gems 5 (K. Pallister, Ed.), Charles River Media, 539-549. Proceedings: Jung, S., Bruder, G., Wisniewski, P. J., Sandor, C., & Hughes, C. E. (2018). Over My Hand: Using a Personalized Hand in VR to Improve Object Size Estimation, Body Ownership, and Presence. Proceedings of the 6th ACM Symposium on Spatial User Interaction (SUI 2018) , Berlin, Germany, October 13-14, 2018, in press. Best Paper Award . Jung, S., Wisniewski, P., & Hughes, C. E. (2018). In Limbo: The Effect of Gradual Visual Transition between Real and Virtual on Virtual Body Ownership Illusion and Presence. Proceedings of IEEE Virtual Reality Conference 2018 (IEEE VR 2018) , Reutlingen, Germany, March 18-22, in press Barmaki, R., & Hughes, C. E. (2018). Gesturing and Embodiment in Teaching: Investigating the Nonverbal Behavior of Teachers in a Virtual Rehearsal Environment. Proceedings of The Eighth Symposium on Educational Advances in Artificial Intelligence 2018 (EAAI-18) , New Orleans, February 3-4, in press Abualsamid A., Hughes C.E. (2017). Why Is Video Modeling Not Used in Special Needs Classrooms? In: Andre T. (eds) Advances in Human Factors in Training, Education, and Learning Sciences. AHFE 2017. Advances in Intelligent Systems and Computing , vol 596, 123-130. Nojavanasghari, B., Hughes, C. E., Baltrusaitis, T., & Morency, L-P (2017). Hand2Face: Automatic Synthesis and Recognition of Hand Over Face Occlusions. Proceedings of Affective Computing and Intelligent Interaction (ACII 2017) , San Antonio, TX, Oct. 23-26, 209-215. Jung, S., Sandor, C., Wisniewski, P., & Hughes, C. E. (2017). RealME: The Influence of Body and Hand Representations on Body Ownership and Presence. Proceedings of the 5th Symposium on Spatial User Interaction (SUI 2017) , Brighton, UK, October 16-17, 2017, in press Jung, S., Sandor, C., & Hughes, C. E. (2017). Pilot Study: The Effect of Real User Body Cues to The Perception on Virtual Body. Proceedings of the 30th Conference on Computer Animation and Social Agents (CASA 2017) , Seoul, Korea, May 22-24, 2017, in press. Nojavanasghari, B., Morency, L-P & Hughes, C. E. (2017). Hands-on: Context-Driven Hand Gesture Recognition for Automatic Recognition of Curiosity. Proceedings of CHI 2017 Workshop: Designing for Curiosity . Denver, CO, May 7. In press. Poster and Short Paper. Nojavanasghari, B., Morency, L-P & Hughes, C. E. (2017). Exceptionally Social: Design of an Avatar-Mediated Interactive System for Promoting Social Skills in Children with Autism. Proceedings of CHI 2017 . Denver, CO, May 6-11, 1932-1939. Jung, S., & Hughes, C. E. (2016). The Effects of indirect real body cues of irrelevant parts on virtual body ownership and presence. International Conference on Artificial Reality and Telexistence Eurographics Symposium on Virtual Environments (ICAT-EGVE) , Little Rock, AK, December 7-9, 2016, 107-112. Jung, S., & Hughes, C. E. (2016). The effects of indirectly implied real body cues to virtual body ownership and presence in a virtual reality environment. ACM Symposium on Virtual Reality Software and Technology (VRST) , Munich Germany, November 2-14, 2016 (Poster and short paper), 363-364. Nojavanasghari, B., Baltrusaitis, T., Hughes, C. E., & Morency, L-P. (2016). EmoReact: A multimodal approach and dataset for recognizing emotional responses in children. International Conference on Multimodal Interaction (ICMI 2016) , Tokyo, Japan, November 12-16, 2016. Petkova, A., Dimitrov, M., Hughes, C. E. & Deo, N. (2016). Accelerating the distributed simulations of agent-based models using community detection. 12 th Annual IEEE RIVF International Conference on Computing and Communication technologies (RIVF2016) , Hanoi, Vietnam, November 7-9, 2016. Nojavanasghari, B., Baltrusaitis, T., Hughes, C. E., & Morency, L-P. (2016). The future belongs to the curious: Towards automatic understanding and recognition of curiosity in children. Workshop on Child Computer Interaction (WOCCI 2016) , San Francisco, CA, September 6-7, 2016. Patel, S., Hughes, D. E., & Hughes, C. E. (2016). MeEmo - Using an avatar to improve social skills in children with ASD. Workshop on Child Computer Interaction (WOCCI 2016) , San Francisco, CA, September 6-7, 2016. Abualsamid, A., & Hughes, C. E. (2016). Language sample analysis framework utilizing the Natural Language Toolkit and Facebook. 7th International Conference on Applied Human Factors and Ergonomics (AHFE2016), July 27-31, Orlando, FL, Advances in Intelligent Systems and Computing , Eds. Vincent Duffy and Nancy Lightner, Volume 482, 445-456. Barmaki, R., & Hughes, C. E. (2016). Towards the Understanding of Gestures and Vocalization Coordination in Teaching Context, Educational Data Mining 2016 (EDM2016) , June 29-July 2, Raleigh, NC, 663-665. Hughes, C. E. , Epstein, J. A., Hall, T., Ingraham, K. M., & Hughes, D. E. (2016). Enhancing Protective Role-Playing Behaviors through Avatar-Based Scenarios. 4th International Conference on Serious Games and Applications for Health (IEEE SeGAH 2016) , May 11-13, Orlando, FL, 1-7. Best Paper Award . Tanaka, A., Smith, R., & Hughes, C. E. (2016). Video Game Experience and Basic Robotic Skills. 4th International Conference on Serious Games and Applications for Health (IEEE SeGAH 2016) , May 11-1, Orlando, FL. Carbone, T., McDaniel, R., & Hughes, C. E. (2016). Psychomotor Skills Measurement for Surgery Training using Game-based Methods, 4th International Conference on Serious Games and Applications for Health (IEEE SeGAH 2016) , May 11-13, Orlando, FL. Hughes, C. E., & Ingraham, K. M. (2016). De-escalation Training in an Augmented Virtuality Space. IEEE Virtual Reality (IEEE VR 2016) , March 19-23, Greenville, SC. (Poster and Short Paper), 181-182. Barmaki, R., & Hughes, C. E. (2015). Providing Real-time Feedback for Student Teachers in a Virtual Rehearsal Environment. Proceedings of 17th International Conference on Multimodal Interaction (ICMI15) , 531-537. (Grand Challenge Peoples Choice Award) Barmaki, R., & Hughes, C. E. (2015). A case study to track teachers gestures in virtual learning environments. Learning, Analytics and Knowledge Conference 2015 (LAK 2015) , Poughkeepsie, NY, March 16-20, 2015, 420-421. Abich IV, J., Matthews, G., Reinerman-Jones, L., Welch, G., Lackey, S., Hughes, C. E., & Nagendran, A. (2014). Good Enough Yet? A Preliminary Evaluation of Human Surrogate Interaction. HCI International 2014 (HCII2014) , Crete, Greece, July 22-27. In Lecture Notes in Computer Science, Volume 8525, Springer-Verlag, Heidelberg, 239-250. Nagendran, A., Pillat, R., Kavanaugh, A., Welch, G., & Hughes C. E. (2013). AMITIES: Avatar-Mediated Interactive Training and Individualized Experiences System. Proceeding of Virtual Reality Software & Technology (VRST) 2013 , Singapore, October 6-8, 2013, 143-152. DOI:10.1145/2503713.2503731 Hayes, A., Hardin, S., & Hughes, C. E. (2013). Perceived presences role on learning outcomes in a mixed reality classroom of simulated students. HCI International 2013 (HCII2013), Las Vegas, NV, July 21-26. In Lecture Notes in Computer Science , Volume 8022, Springer-Verlag, Heidelberg, 142-151. DOI:10.1007/978-3-642-39420-1_16 Hughes, D. E., Sabbagh, S., Lindgren, R., Moshell, J. M., & C. E. Hughes (2013). Mixed Reality Space Travel for Physics Learning. HCI International 2013 (HCII2013) , Las Vegas, NV, July 21-26. In Lecture Notes in Computer Science, Volume 8022, Springer-Verlag, Heidelberg, 162-169. DOI:10.1007/978-3-642-39420-1_18 Walters, L. C., Hughes, D. E., Gertrudix Barrio, M., & C. E. Hughes (2013). ChronoLeap: The Great Worlds Fair Adventure. HCI International 2013 (HCII2013) , Las Vegas, NV, July 21-26. In Lecture Notes in Computer Science , Volume 8022, Springer-Verlag, Heidelberg, 426-435. DOI: 10.1007/978-3-642-39420-1_45 Nagendran, A., Pillat, R., Hughes, C. E., & Welch, G. (2012). Continuum of virtual-human space: Towards improved interaction strategies for physical-virtual avatars. ACM SIGGRAPH VRCAI 2012 , Dec. 2-4, Singapore, 135-142. Lopez, A. L., Hughes, C. E., Mapes, D. P., & Dieker, L. A. (2012). Cross Cultural Training through Digital Puppetry. Advances in Design for Cross-Cultural Activities Part I , Chapter 25, Edited by Denise M. Nicholson, CRC Press 2012, 247-256. Hughes, C. E., & Mapes, D. P. (2012). Mediated Dialogues through Multiple Networked Avatars. Proceedings of Immersive Education 2012 (iED 2012) , Boston, Ma, June 14-16), 10-18. Martin, G. A., Hughes C. E., & Moshell, J. M. (2012). Analysis of a Procedural System for Automatic Scenario Generation. Advances in Applied Human Modeling and Simulation , Section IX, Edited by Vincent G. Duffy, CRC Press 2012. Pillat, R., Nagendran A., & Hughes, C. E. (2012). A Control Paradigm for Decoupled Operation of Mobile Robots in Remote Environment. Simulation and Interaction in Intelligent Environments (SIMIE 2012) , Rome, Italy, February 24-26, 2012, 553-561. Beato, N., Pillat, R., & Hughes, C. E. (2012). Real-Time Video Matting for Mixed Reality Using Depth Generated Trimaps. I nternational Conference on Computer Graphics Theory & Applications (GRAPP 2012) , Rome, Italy, February 24-26, 2012, 280-288. Zhu, E. J., Moshell, J. M., Ontan, S., Erbiceanu, E., & Hughes, C. E. (2011). Why can't a virtual character be more like a human: A mixed initiative approach to believable agents. HCI International 2011 (HCII2011) , Orlando, FL. In Lecture Notes in Computer Science , Volume 6774, Springer-Verlag, Heidelberg, 2011, 289-296. Charbonneau, E., Hughes, C. E., & LaViola, J. J. (2010). Vibraudio Pose: An Investigation of Non-Visual Feedback Roles for Body Controlled Video Games. Sandbox 2010: ACM SIGGRAPH Video Game Proceedings , July 25-29, 2010, Los Angeles, 79-84. Martin, G., Schatz, S., Hughes, C. E., & Nicholson, D. (2010). What is a Scenario? Operationalizing Training Scenarios for Automatic Generation. Applied Human factors and Ergonomics 2010 (AHFE2010) , July 17-29, 2010 Miami, FL, 746-753. Mapes, D. P., Tonner, P., & Hughes, C. E. (2010). Geppetto: An environment for the efficient control and transmission of digital puppetry. HCI International 2011 (HCII2011) , Orlando, FL, July 9-14. In Lecture Notes in Computer Science , Volume 6774, Springer-Verlag, Heidelberg, 2011, 270-278. Martin, G., Hughes, C. E., Schatz, S., & Nicholson, D. (2010). The Use of Functional L-Systems for Scenario Generation in Serious Game. Proceedings of the 2010 Workshop on Procedural Content Generation in Games , Monterey, CA, June 18, 2010, Article#6, 5 pages. Martin, G., & Hughes, C. E. (2010). A Scenario Generation Framework for Automating Instructional Support in Scenario-based Training. Military Modeling and Simulation 2010 , April 11-15, Orlando, FL. Article#35, 6 pages. Martin, G., Schatz, S., Bowers, C., Hughes, C. E., Fowlkes, J., & Nicholson, D. (2009). Automatic Scenario Generation through Procedural Modeling for Scenario-Based Training. Human Factors and Ergonomics Society Annual Meeting Proceedings 2009 (AHFE2009) , 53(26), 1949-1953. Varcholik, P., LaViola, J., & Hughes, C. E. (2009). The Bespoke 3DUI XNA Framework: A Low-Cost Platform for Prototyping 3D Spatial Interfaces in Video Games. P roceedings of ACM SIGGRAPH 2009 Video Games Symposium , New Orleans, August 3-7, 2009, 55-61. Beato, N., Mapes, D., Hughes, C. E., Fidopiastis, C., & Smith, E. (2009). Evaluating the Potential of Cognitive Rehabilitation with Mixed Reality. HCI International 2009 (HCII2009) , San Diego, CA, July 19-24, 2009, Springer-Verlag Lecture Notes in Computer Science, Volume 5622, 522-531. Risi, S., Vanderbleek, S., Hughes, C. E., & Stanley, K. O. (2009). How Novelty Search Escapes the Deceptive Trap of Learning to Learn. Proceedings of 2009 Genetic and Evolutionary Computation Conference (GECCO 2009) , Montreal, July 8-12, 2009, 153-160. [Best Paper Award] Fidopiastis, C., Hughes, C. E., & Smith, E. (2009) Mixed Reality for PTSD/TBI Assessment. Annual Review of Cybertherapy and Telemedicine 2009: Advanced Technologies in the Behavioral, Social and Neurosciences , IOS Press BV, Amsterdam, 216-240. Salva, M., Wiederhold, B. K., Alban, A. J., Hughes, C. E., Smith, E., Fidopiastis, C., & Wiederhold, M. D. (2009). Cognitive Therapy using Mixed Reality for those impaired by a Cerebrovascular Accident (CVA). Annual Review of Cybertherapy and Telemedicine 2009: Advanced Technologies in the Behavioral, Social and Neuroscience , IOS Press BV, Amsterdam, 2009, 253-256. Walters, L. C., Hughes C. E., & Smith, E. (2009). Shadows of Canaveral: The Application of VR to a Post World War II Subject. Computer Applications and Quantitative Methods in Archaeology 2009 (CAA2009) , Williamsburg, VA, March 22-26, 2009. On-Line at http://www.caa2009.org/articles/Walters_Contribution313_c%20(2).pdf. Walters, L. C., Hughes C. E., & Smith, E. (2008). Come Back to the Fair. 1 4th International Conference on Virtual Systems and Multimedia (VSMM) 08 , Limassol, Cyprus, October 20-26, 2008, 289-293. Zhang, Y., & Hughes, C. E. (2007). Model-Guided Luminance Range Enhancement in Mixed Reality. International Conference on Image Analysis and Recognition (ICIAR) 2007 , Montreal, August 22-24, 2007, 1160-1171. Konttinen, J., Pattanaik S., & Hughes, C. E. (2007). Image-Space Particle Emission. SIGGRAPH 2007 , San Diego, August 6-9, 2007, Poster. Fiore, S. M., Harrison, G. W., Hughes, C. E., & Rutstrm, E. E. (2007). Virtual Experiments and Environmental Policy. Frontiers of Environmental Economics , Washington, February 2007. Dieker, L., Hynes, M., Stapleton, C. B., & Hughes, C. E. (2007). Virtual Classrooms: STAR Simulator. New Learning Technologies 2007 , Orlando, FL, February 2007, 1-22. Szumlanski, S., Wu, A. S., & Hughes, C. E. (2006). Conflict Resolution and a Framework for Collaborative Interactive Evolution. Twenty-First National Conference on Artificial Intelligence (AAAI-06) , Boston, MA, July 16-20, 2006, 512-517. Stapleton, C. B., Smith. E., & Hughes, C. E. (2005). The Art of Nurturing Citizen Scientists through Mixed Reality. I SMAR 2005 , Vienna, Austria, October 5-8, 2005, 2-11 (Invited) Fidopiastis, C. M., Stapleton, C. B., Whiteside, J. D., Hughes, C. E., Fiore, S. M., Martin, G. A., Rolland, J. P., & Smith, E. M. (2005). Human Experience Modeler: Context Driven Cognitive Retraining and Narrative Threads. 4th International Workshop on Virtual Rehabilitation (IWVR2005), Catalina Island, CA, September 19-21, 2005, 120-134. Hughes, C. E., & Stapleton, C. B. (2005). The Shared Imagination: Creative Collaboration in Augmented Virtuality. HCI International 2005 , Las Vegas, NV, July 22-27, 2005. Szumlanski, S. R., Wu, A. S., & Hughes, C. E. (2005). Collaborative Interactive Evolution. Proceedings of the 2005 Conference on Genetic and Evolutionary Computation ( GECCO '05) , Washington DC, USA, June 25 - 29, 2005, H. Beyer, Ed., ACM Press, New York, NY, 2199-2200. [Poster] Liu, DZ, & Hughes, C. E. (2005). Deducing Behaviors from Primitive Movement Attributes. SPIE Defense and Security Symposium , Orlando, FL, March 28 - April 1, 2005, 180-189. OConnor, M., & Hughes, C. E. (2005). Authoring and Delivering Mixed Reality Experiences. Proceedings of 2005 International Conference on Human-Computer Interface Advances in Modeling and Simulation (SIMCHI05) , New Orleans, January 23-27, 2005, 33-39. Hughes, D. E., Vogelpohl, S., & Hughes, C. E. (2005). Designing a System for Effective Use of Immersive Audio in Mixed Reality. Proceedings of 2005 International Conference on Human-Computer Interface Advances in Modeling and Simulation (SIMCHI05) , New Orleans, January 23-27, 2005, 51-57. Stapleton, C. B., & Hughes, C. E. (2005). Mixed Reality and Experiential Movie Trailers: Combining Emotions and Immersion to Innovate Entertainment Marketing. Proceedings of 2005 International Conference on Human-Computer Interface Advances in Modeling and Simulation (SIMCHI05) , New Orleans, January 23-27, 2005, 40-48. Active and Recently Completed Grants National Science Foundation, Simulated Practice: Using Socially-Responsive Avatars to Prepare STEM GTAs for Student-Centered Instruction , (PIs: J. Chini, C. E. Hughes, E Saitta). 11/15/2017-10/31/2020. National Science Foundation, Arbor: Comparative Analysis Workflows for Tree of Life , (PIs: L. Harmon, C. E. Hughes, W. Turner). 2012-2019. Walt Disney Attractions, Lifelong Learning Program: A New Paradigm in STEM and Business Workforce Development , (PIs: I. Garibay, C. E. Hughes). 1/7/2019-12/31/2019. Walt Disney Attractions, Lifelong Learning Program: Deep Learning Intrapreneurship Pilot , (PIs: I. Garibay, C. E. Hughes). 1/1/2018-12/31/2018. Office of Naval Research, DURIP: Transportable Human-Surrogate Interaction System (THuSIS) , (PIs: G. Welch, C. E. Hughes, A. Raij). 2016-2018. Carnegie Mellon University, Towards Automatic Understanding and Recognition of Curiosity in Children , (PI: C. E. Hughes). 8/22/2016-5/2/2017. Bert W. Martin Foundation, TeachLivE elementary classroom , (PIs: L. Dieker, C. E. Hughes, M. Hynes), 2016-2017. Office of Naval Research, Human Surrogate Interaction , (PIs: Greg Welch, C. E. Hughes, Sumanta Pattanaik, Jeremy Bailenson), 2014-2017. Bill & Melinda Gates Foundation, TeachLivE , (PIs: L. Dieker, M. Hynes, C. E. Hughes). 2012-2016. National Science Foundation, Reducing Alcohol Use among College Students Using Digital Puppetry , (PIs: C. E. Hughes, Tom Hall), 2011-2015. National Science Foundation, Meteor Year 3 , (PIs: J. M. Moshell, C. E. Hughes, E. Smith), 2013-2015. Office of Naval Research, DURIP: A Physical-Virtual Human-Robot Interaction System for Training, Education and Rehabilitation , (PIs: G. Welch, C. E. Hughes, A. Nagendran). 2012-2015. Sample Projects at Synthetic Reality Lab What Really Matters in Life CS home | Contact Me | UCF home | 247C Harris Engineering Center Department of Computer Science University of Central Florida Orlando, Florida 32816-2362 Voice (407) 823-2341 FAX (407) 823-5419 Last Updated: January 7, 2019 diff --git a/src/data/compiled_bios/3325.txt b/src/data/compiled_bios/3325.txt new file mode 100644 index 0000000000..07aff502d7 --- /dev/null +++ b/src/data/compiled_bios/3325.txt @@ -0,0 +1 @@ + Sumit Kumar Jha Skip to main content Utility Menu Search Sumit Kumar Jha Computer Science Department University of Central Florida Orlando, FL 32816 (email) Bio Classes News Open Positions People Presentations Publications Software Awards National Science Foundation Computing and Communications Foundations -- Scalable Parallelism in the Extreme (SPX) (2018-2022) Florida Cybersecurity Center Collaborative Seed Award (2018-2019) Best Paper Award at the 10th International Conference on Foundations of Privacy & Security FPS (2017) UCFPredictive Analytics Innovation Fellow (2017-2018) Air Force Office of Scientific Research Young Investigator Award (2016-2019) UCF Faculty Senate (2016-2017) National Science Foundation Computing and Communications Foundations --Exploiting Parallelism & Scalability (2014-2017) National Science Foundation Computing and Communications Foundations --Software & Hardware Foundations (2014-2018) Best Paper Award atIEEE International Conference on Computational Advances in Bio and Medical Sciences ICCABS (2014) ASE/Air Force Summer Faculty Fellowship (2014) Charles N. Millican Faculty Fellow (2013) IEEE Orlando Outstanding Engineering Educator Award (2013) Air Force Information Directorate Visiting Faculty Fellowship Program (2013) Best Paper Award atIEEE International Conference on Computational Advances in Bio and Medical Sciences ICCABS (2011) Recent Publications A. Velasquez and S. K. Jha , 3D Crosspoint Memory as a Parallel Architecture for Computing Network Reachability , in IEEE International Conference on Computer Design (ICCD) , Forthcoming. Abstract We introduce a new in-memory computing design that can compute single-source reachability and transitive closure of graphs by using the natural parallel flow of information in three-dimensional crosspoint memories. The proposed design can be implemented using 3D crosspoint architectures with two layers of 1-diode 1-resistor (1D1R) interconnects. Our logic-in-memory design mitigates the infamous memory-processor bottleneck characteristic of John von Neumann architectures and has a runtime complexity of $\mathcal{O}(n)$ using $\mathcal{O}(n^2)$ devices for a graph with $n$ nodes. This compares favorably to efficient algorithms on John von Neumann architectures with a time complexity of $\mathcal{O}(n^3/p + n^2 \log p)$ on $p$ processors and a competing in-memory approach with runtime $\mathcal{O}(n^2)$ using $\mathcal{O}(n^3)$ components. S. Jha, S. Raj, S. K. Jha, and N. Shankar , Duality-Based Nested Controller Synthesis from STL Specifications for Stochastic Linear Systems , in 16th International Conference on Formal Modelling and Analysis of Timed Systems (FORMATS) , Beijing, China, 2018. Abstract We propose an automatic synthesis technique to generate provably correct controllers of stochastic linear dynamical systems for Signal Temporal Logic (STL) specifications. While formal synthesis problems can be directly formulated as exists-forall constraints, the quantifier alternation restricts the scalability of such an approach. We use the duality between a system and its proof of correctness to partially alleviate this challenge. We decompose the controller synthesis into two subproblems, each addressing orthogonal concerns - stabilization with respect to the noise, and meeting the STL specification. The overall controller is a nested controller comprising of the feedback controller for noise cancellation and an open loop controller for STL satisfaction. The correct-by-construction compositional synthesis of this nested controller relies on using the guarantees of the feedback controller instead of the controller itself. We use a linear feedback controller as the stabilizing controller for linear systems with bounded additive noise and over-approximate its ellipsoid stability guarantee with a polytope. We then use this over-approximation to formulate a mixed-integer linear programming problem (MILP) to synthesize an open-loop controller that satisfies STL specifications. We demonstrate the effectiveness of the proposed technique on a set of case studies. A. Velasquez and S. K. Jha , Parallel Transitive Closure Within 3D Crosspoint Memory , in ACM Symposium on Parallelism in Algorithms and Architectures , Vienna, Austria, 2018. A. U. Hassen, D. Chakraborty, and S. K. Jha , Free Binary Decision Diagram Based Synthesis of Compact Crossbars for in-Memory Computing of Boolean Functions , Transactions on Circuits and Systems (TCAS) II , 2018. TCAS_FlowBasedComputing.pdf S. Raj, S. K. Jha, L. L. Pullum, and A. Ramanathan , SATYA: Defending against Adversarial Attacks using Statistical Hypothesis Testing , in The 10th International Symposium on Foundations and Practice of Security (FPS 2017) , Nancy, France. (BEST PAPER AWARD), 2017. Abstract fps2017.pdf The paper presents a new defense against adversarial attacks for deep neural networks. We demonstrate the effectiveness of our approach against the popular adversarial image generation method DeepFool. Our approach uses Wald's Sequential Probability Ratio Test to sufficiently sample a carefully chosen neighborhood around an input image to determine the correct label of the image. On a benchmark of 50,000 randomly chosen adversarial images generated by DeepFool we demonstrate that our method SATYA is able to recover the correct labels for 95.76% of the images for CaffeNet and 97.43% of the correct label for GoogLeNet. BEST PAPER AWARD D. Chakraborty, S. Raj, J. C. Gutierrez, T. Thomas, and S. K. Jha , In-Memory Execution of Compute Kernels using Flow-based Memristive Crossbar Computing , in IEEE International Conference on Rebooting Computing 2017 , Washington D.C., 2017. Abstract icrc2017.pdf Rebooting computing using in-memory architectures relies on the ability of emerging devices to execute a legacy software stack. In this paper, we present our approach of executing compute kernels written in a subset of the C pro- gramming language using flow-based computing on nanoscale memristor crossbars. Our frameworkalso tests the correctness of the design using the parallel Xyces electronic simulation software. We demonstrate the potential of our design methodology by designing and testing a compute kernel for edge detection in images. S. Raj, A. Ramanathan, L. L. Pullum, and S. K. Jha , Testing Autonomous Cyber-Physical Systems using Fuzzing Features Derived from Convolutional Neural Networks , in ACM SIGBED International Conference on Embedded Software (EMSOFT) , Seoul, South Korea, 2017. Abstract TestingAI.pdf Autonomous cyber-physical systems rely on modern machine learning methods such as deep neural networks to control their interactions with the physical world. Testing of such intelligent cyber-physical systems is a challenge due to the huge state space associated with high-resolution visual sensory inputs. In this paper, we demonstrate how fuzzing the input using patterns obtained from the convolutional lters of an unrelated convolutional neural network can be used to test the correctness of vision algorithms implemented in intelligent cyber-physical systems. Our method discovers interesting counterexamples to the pedestrian detection algorithm implemented in the popular OpenCV library. Our approach also unearths counterexamples to the correct behavior of an autonomous car similar to NVIDIAs end-to-end self-driving deep neural net running on the Udacity open-source simulator. B. Shaia, A. Velasquez, and S. K. Jha , Spatially Efficient in-Memory Addition Through Destructive and Non-Destructive Operations , in IEEE International Symposium on Circuits and Systems , Sapporo, Japan, 2019. A. Khalid and S. K. Jha , Parameter Estimation of Stochastic Biochemical Models using Multiple Hypothesis Testing , in 8th IEEE International Conference on Computational Advances in Bio and medical Sciences (ICCABS) , 2018. A. U. Hassen and S. K. Jha , Free BDD based Computer-aided Design of Compact Memristor Crossbars for in-Memory Computing , in 14th IEEE / ACM International Symposium on Nanoscale Architectures (NANOARCH) , Athens, Greece, 2018. More Search Latest News Open Positions Dr. Alvaro Velasquez is now Research Scientist with the Air Force Research Lab Information Directorate Dr. Faraz Hussain is now tenure-track Assistant Professor at Clarkson University Emily Sassano successfully defends her PhD dissertation PhD Student Sunny Raj ranked #5 among 68 participants in NIPS Adversarial Attack Round 2 Competition Memristor crossbar paper being presented at DATE 2017 More Admin Login OpenScholar diff --git a/src/data/compiled_bios/3326.txt b/src/data/compiled_bios/3326.txt new file mode 100644 index 0000000000..d4aa335f67 --- /dev/null +++ b/src/data/compiled_bios/3326.txt @@ -0,0 +1 @@ + Joseph J. LaViola Jr. Toggle navigation Home Research Publications Teaching Students Personal C.V. Joseph J. LaViola Jr. Charles N. Millican Professor of Computer Science Department of Computer Science Affiliated Research Faculty Institute for Simulation and Training Address University of Central Florida Orlando, FL 32816-2362 Office Harris Engineering Center 321 Email jjl (at) eecs.ucf.edu Phone (407)-882-2285 Fax (407)-823-5419 I am a Full Professor in the Computer Science Department at the University of Central Florida . My interests include pen-based computing, 3D user interfaces for games, human motion estimation, virtual reality, human-robot interaction and interactive computer graphics. I am also an adjunct associate professor (Research) in the Brown University Computer Science Department . I am the director of the Interactive Computing Experiences Research Cluster . 3D User Interfaces: Theory and Practice, Second Edition is now available. Written with my colleagues, Ernst Kruijff (Bonn-Rhein-Sieg University of Applied Sciences), Ryan McMahan (University of Texas at Dallas), Doug Bowman (Virginia Tech), and Ivan Poupyrev (Google ATAP), it is the updated edition to the only comprehensive text/reference book on 3D user interfaces. Order your copy from Amazon , Barnes and Noble , or directly from Pearson . diff --git a/src/data/compiled_bios/3327.txt b/src/data/compiled_bios/3327.txt new file mode 100644 index 0000000000..d16b5d10b3 --- /dev/null +++ b/src/data/compiled_bios/3327.txt @@ -0,0 +1 @@ + Bioinformatics at UCF Xiaoman Shawn Li Associate Professor Burnett School of Biomedical Science Department of Electrical Engineering and Computer Science University of Central Florida Office: HEC210 E mail: xiaoman@mail.ucf.edu Telephone: 407-823-4811 Fax: 407-823-5835 Education Stanford University, Statistics, postdoc, Advisor: Dr. Wing Wong Harvard University, Statistics, postdoc, Advisor: Dr. Wing Wong University of Southern California, Computational Biology, PhD, Advisor: Dr. Michael Waterman Research Our lab is interested in solving statistical and algorithmic problems in computational biology. The beauty of this exciting area lies on the fact that it has a direct impact in the real world and statistics and algorithms really matter in data mining here. In addition, the biological problems challenge the current statistical and algorithmic methods and provide a great opportunities to advance and create novel computational methods. We were one of the international groups funded by NIH to develop technology for the ENCODE projects . Currently, our lab is focusing on the following classification and data integration problems: (1) transcription factor binding site prediction; (2) enhancer target gene prediction; (3) Metagenomics. Announcement : We welcome UCF undergraduates and graduates from EECS, BSBS, biology, Statistics and Mathematics to join our lab. If you have excellent programming skill and are highly motivated to work on bioinformatics, please email me to make an appointment. . Publications Li X, Naser S, Khaled A, Hu H, Li X. When old metagenomic data meet newly sequenced genomes, a case study. Plos One . 2018; 13 2: e0198773. Li X, Ge P, Hu H. FlexSLiM: a Novel Approach for Short Linear Motif Discovery in Protein Sequences. Proceedings of the 2018 6th International Conference on Bioinformatics and Computational Biology. 2018; 32-39. Zheng Y, Li X, Hu H. Discover the semantic structure of human reference epigenome by differential latent dirichlet allocation. 2017 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 2017. Ding J, Li X, Hu H. CCmiR: a computational approach for competitive and cooperative microRNA binding prediction. Bioinformatics. 2017; 34 (2): 198-206. Wang Y, Goodison S, Li X, Hu H. Prognostic cancer gene signatures share common regulatory motifs. Scientific Reports , 2017; 7 (1): 4750. Wang Y, Hu H, Li X. rRNAFilter: a fast approach for ribosomal RNA read removal without a reference database. Journal of Computational Biology , 2016; Roqueta-Rivera M, Esquejo RM, Phelan PE, Sandor K, Daniel B, Foufelle F, Ding J, Li X, Khorasanizadeh S, Osborne TF. SETDB2 Links Glucocorticoid to Lipid Metabolism through Insig2a Regulation. Cell Metab. 2016; 24 (3): 474-84. Zhao C, Li X, Hu H. PETModule: a motif module based approach for enhancer target gene prediction. Scientific Reports . 2016; 6 : 30043. Wang Y, Hu H, Li X. MBMC: An Effective Markov Chain Approach for Binning Metagenomic Reads from Environmental Shotgun Sequencing Projects. OMICS: A Journal of Integrative Biology. 2016; 20 (8): 470-479. Li X, Zheng Y, Hu H, Li X. Integrative analyses shed new light on human ribosomal protein gene regulation. Scientific Reports . 2016; 6 :28619. Ding J, Li X, Hu H. TarPmiR: a new approach for microRNA target site prediction. Bioinformatics . doi: 10.1093/bioinformatics/btw318. 2016. Dhillon V, Li X. Single-Cell Genome Sequencing for Viral-Host Interactions . Journal of Computer Science & Systems Biology. 2015; 194 (12):6011-6023. Kapoor N, Niu J, Saad Y, Kumar S, Sirakova T, Becerra E, Li,X, Kolattukudy, PE. Transcription factors STAT6 and KLF4 implement macrophage polarization via the dual catalytic powers of MCPIP. Journal of Immunology. 2015; 8 :160-165. Wang Y, Hu H, Li X. MBBC: an efficient approach for metagenomic binning based on clustering. BMC Bioinformatics. 2015; 16 (1):1. Zheng Y, Li X, Hu H. PreDREM: a database of predicted DNA regulatory motifs from 349 human cell and tissue samples. Database. 2015; bav007. Ding J, Dhillon V, Li X, Hu H. Systematic discovery of cofactor motifs from ChIP-seq data by SIOMICS. Methods. 2015; 79 : 47-51. Ding J, Li X, Hu H. MicroRNA modules prefer to bind weak and unconventional target sites. Bioinformatics. 2015; 31 (9): 1366-1374. Zheng Y, Li X, Hu H. Comprehensive discovery of DNA motifs in 349 human cells and tissues reveals new features of motifs. Nucleic Acids Research. 2014; doi: 10.1093/nar/gku1261. Zheng Y, Li X, Hu H. Computational discovery of feature patterns in nucleosomal DNA sequences. Genomics. 2014; 104 (2):87-95 Wang Y, Li X, Hu H. H3K4me2 reliably defines transcription factor binding regions. Genomics. 2014; 103 (2-3):222-228. Ding J, Hu H, Li X. SIOMICS: a Novel Approach for Systematic Identification of Motifs in ChIP-seq Data . Nucleic Acids Research. 2014; 42 (5): e35. Ding J, Hu H, Li X. NIM, A novel computational method for predicting nuclear-encoded chloroplast proteins . Journal of Medical and Bioengineering. 2013; 2 (2): 115-119. Ding J, Cai X, Wang Y, Hu H, Li X. ChIPModule: Systematic discovery of transcription factors and their cofactors from ChIP-seq data. Pac Symp Biocomput. 2013. Ding J, Li X, Hu H. Systematic Identification of cis-regulatory elements in Chlamydomonas reinhardtii genome using comparative genomics . Plant Physiology. 2012; 160 (2):613-23. Wang Y, Ding J, Daniell H, Hu H, Li X. Motif analysis unveils the possible co-regulation of chloroplast genes and nuclear genes encoding chloroplast proteins . Plant Molecular Biology. 2012; 80 (2):177-87. Ruppert SM, Chehtane M, Zhang G, Hu H, Li X, Khaled AR. JunD/AP-1-Mediated Gene Expression Promotes Lymphocyte Growth Dependent on Interleukin-7 Signal Transduction. . Plos One. 2012; 7 (2):e32262. Ding J, Hu H, Li X. Thousands of cis-regulatory sequences are shared by Arabidopsis and populus . Plant Physiology. 2012; 158 (1):145-55. Epub 2011 Nov 4. Wang Y, Li X, Hu H. Transcriptional regulation of co-expressed microRNA targt genes. Genomics. 2011; 98 (6):445-52. Balakrishnan MP, Cilenti L, Ambivero C, Goto Y, Takata M, Turkson J, Li XS, Zervos AS. THAP5 is a DNA binding transcriptional repressor that is regulated in melanoma cells during DNA damage-induced cell death. Biochem Biophys Res Commun. 2011; 404 (1):195-200. Schanen BC, Li X. Transcriptional regulation of mammalian miRNA genes. Genomics. 2011; 97 (1):1-6. Cai X, Hou L, Su N, Hu H, Deng M, Li X. Systematic identification of conserved motif modules in the human genome . BMC Genomics. 2010; 11 :567. Database . Software . Hu H, Li X. Transcription factor binding site identification by phylogenetic footprinting. Book Chapter in Frontiers in Computational and Systems Biology, 113-132, 2010. Hu H, Li X. Whole genome identification of target genes of transcription factors . The 2010 International Conference On Bioinformatics and Biomedical Technology, Chengdu, China. April 16-18, 2010. Hu H, Li X. Hierarchical order of gene expression levels . The 2010 International Conference On Bioinformatics and Biomedical Technology, Chengdu, China. April 16-18, 2010. Cai X, Hu H, Li X. A new measurement of sequence conservation . BMC Genomics. 2009; 10 :623 Sadat MA, Dirscherl S, ..., Li X, Grez M, Cornetta K, Mooney SD, Dinauer MC. Retroviral vector integration in post-transplant hematopoiesis in mice conditioned with either submyeloablative or ablative irradiation . Gene Ther. 2009; 16 :1452-1464. Ma X, Zhang K, Li X. Evolution of Drosophila Ribosomal Protein Gene Core Promoters . Gene. 2009; 432 (2):54-59. Hu J, Hu H, Li X. MOPAT: a graph-based method to predict recurrent cis-regulatory modules from known motifs . Nucleic Acids Res. 2008; 36 (13):4488-97. Unix version download , cygwin version download , Windows version download . Peters B, Dirscherl S, Dantzer J, Nowacki J, Cross S, Li X, Cornetta K, Dinauer MC, Mooney SD. Automated analysis of viral integration sites in gene therapy research using the SeqMap web resource . Gene Ther. 2008; 15 (18):1294-8. Georgiadis MM, Luo M, Gaur RK, Delaplane S, Li X, Kelley MR. Evolution of the redox function in mammalian apurinic/apyrimidinic endonuclease . Mutat Res. 2008; 643 (1-2):54-63. Hu H, Li X. Networking pathways unveils association between obesity and non-insulin dependent diabetes mellitus . Pac Symp Biocomput. 2008; 13 :255-66. Humphreys TL, Li L, Li X, Janowicz DM, Fortney KR, Zhao Q, Li W, McClintick J, Katz BP, Wilkes DS, Edenberg HJ, Spinola SM. Dysregulated immune profiles for skin and dendritic cells are associated with increased host susceptibility to Haemophilus ducreyi infection in human volunteers . Infect Immun. 2007; 75(12):5686-97. Cai, X., Hu, H., Li X. Tree Gibbs Sampler: Identifying Conserved Motifs without Aligning Orthologous Sequences . Bioinformatics. 2007; 23 (15):2013-4. Windows version download . Unix version download . full version Hu H., Li X. Transcriptional regulation in eukaryotic ribosomal protein genes . Genomics. 2007; 90 (4):421-3. Li X. Cancer Bioinformatics--From Therapy Design to Treatment . Briefings in Bioinformatics. . 2006. Li L, Cheng AS, Jin VX, Paik HH, Fan M, Li X, Zhang W, Robarge J, Balch C, Davuluri RV, Kim S, Huang TH, Nephew KP. A mixture model-based discriminate analysis for identifying ordered transcription factor binding site pairs in gene promoters directly regulated by estrogen receptor-alpha . Bioinformatics. 2006; 22 (18):2210-6. Li X., Zhong S., Wong WH. Reliable transcription factor binding sites prediction in eukaryotes by phylogenetic verification . Proc Natl Acad Sci U S A. 2005; 102 (47):16945-50. Li X., Wong WH. Sampling motifs on phylogenetic trees . Proc Natl Acad Sci U S A. 2005; 102 (27): 9481-6. Windows version download . Unix version download . full version LaRocque R., Harris JB, Dziejman M., Li X. et al. Transcriptional Profiling of Vibrio cholerae Recovered Directly from Early and late human infection . Infection and Immunity. 2005; 73 (8), 4488-93. Bjorkbacka H, Fitzgerald KA, Huet F, Li X, et al. The induction of macrophage gene expression by LPS predominantly utilizes MyD88-independent signaling cascades . Physiol Genomics. 2004; 19 (3):319-30. Li X and Waterman MS. Estimate the repeat structure of a genome without assembly . Genome Research. 2003; 13 (8):1916-22. Yeh RF, Speed T., Waterman MS, Li X. Predicting progress in shotgun sequencing with paired ends . better version .Center for Bioinformatics & Molecular Biostatistics, 2002. Software Tools and Resources SIOMICS . ChIPModule . conserved motif combinations in Arabidopsis and poplar . GenomeModule: predicted motif combinations and CRMs in the human genome . MOPAT Unix version , MOPAT cygwin version , MOPAT Windows version. Tree Gibbs Sampler Grants Showalter Award . Sampling Cis-elements on Phylogenetic Trees and Its Application to Developmental Biology . July 2006---June 2008 . NIH R01 . Discovery of Cis-Regulatory Modules in the Human Genome , September 2007---July 2011. NSF . III: Small: Computational Inference of Microbial Community Structures from Environmental Shotgun Reads , October 2012---September 2015. NIH R01 (PI: Dr. Osborne) . Sterol Relgulatory Element Binding Proteins in Regulation of Lipid Metabolism , August 2014---July 2018. NIH R01 (PI: Dr. Smith) . Epigenetic regulation of adipose tissue distribution. , June 2016---May 2020 NIH R15 . BACTERIAL HAPLOTYPE RECONSTRUCTION DIRECTLY FROM NEXT GENERATION SEQUENCING READS , April 2017---March 2020. Teaching Bioinformation and Genomics , Fall 2009 Structure Bioinformatics , Spring 2010 Sequence Analysis , Fall 2010 Structure Analysis , Spring 2011 Sequence Analysis , Fall 2011 Structure Analysis , Spring 2012 Sequence Analysis , Fall 2012 Visit our group page for more information. Current Students Daniella Badal, Biomolecular Science Center undergraduate Julian Quintana, Biomolecular Science Center undergraduate Jun Ding, EECS PhD, Co-advising Desislava Doncheva, EECS undergraduate Shawn Hendricks, Biomolecular Science Center PhD Vikram Dhillon, Biomolecular Science Center undergraduate Michael Venincasa, high school student Past Students and Postdocs Xiaohui Cai, Postdoctoral Fellow (2006-2008) Jianfei Hu, Postdoctoral Fellow (2006-2008) Erik Ladewig, EECS master student (2008-2010) Jeremy Keller, Biomolecular Science Center, undergraduate (2010-2011) Luke Stevens, College of Medicine, MD student (2009-2010) diff --git a/src/data/compiled_bios/3328.txt b/src/data/compiled_bios/3328.txt new file mode 100644 index 0000000000..088862f617 --- /dev/null +++ b/src/data/compiled_bios/3328.txt @@ -0,0 +1 @@ + Welcome to Fei Liu's Homepage HOME PUBLICATION SERVICE TEACHING UCF NLP Group Curriculum Vitae Short Biography Fei Liu Assistant Professor Department of Computer Science University of Central Florida Email : feiliu@cs.ucf.edu Address : 4000 Central Florida Blvd, Orlando, FL 32816 The UCF Natural Language Processing Group is always looking for talented PhD and undergraduate students to join us on research projects. If you are interested in working with us, please drop an email to Dr. Liu. Research Interests Dr. Liu's research is in the areas of natural language processing and machine learning. In particular, her research focuses on the challenging problem of automatic text summarization . Summarization is considered an important technology to reduce information overload. The goal is to generate concise and fluent summaries from a large amount of text documents. Dr. Liu's work has spanned a variety of text forms, including news articles, social media updates, and policy documents. Her research draws on the recent advances of machine learning and deep learning to produce extractive and abstractive summaries that are concise, accurate, and informative. Some research topics she has been involved include: Automatic Text Summarization Language Generation Deep Neural Networks Machine Learning for NLP Recent Publications [Full List] [Google Scholar] Adapting the Neural Encoder-Decoder Framework from Single to Multi-Document Summarization Logan Lebanoff, Kaiqiang Song, and Fei Liu Accepted by the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP) , Brussels, Belgium, 2018 Structure-Infused Copy Mechanisms for Abstractive Summarization Kaiqiang Song, Lin Zhao, and Fei Liu Accepted by the International Conference on Computational Linguistics (COLING) , Santa Fe, New Mexico, 2018 Try our new Structure-Infused Sentence Summarizer! Abstract Meaning Representation for Multi-Document Summarization Kexin Liao, Logan Lebanoff, and Fei Liu Accepted by the International Conference on Computational Linguistics (COLING) , Santa Fe, New Mexico, 2018 [Area Chair Favorite] Automatic Detection of Vague Words and Sentences in Privacy Policies Logan Lebanoff and Fei Liu Accepted by the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP) , Brussels, Belgium, 2018 Reinforced Extractive Summarization with Question-Focused Rewards Kristjan Arumae and Fei Liu Accepted by the Student Research Workshop of ACL , Melbourne, Australia, 2018 An Improved Phrase-based Approach to Annotating and Summarizing Student Course Responses Wencan Luo, Fei Liu, Diane Litman In Proceedings of the 26th International Conference on Computational Linguistics (COLING) , Osaka, Japan, 2016 Automatic Summarization of Student Course Feedback Wencan Luo, Fei Liu, Zitao Liu, Diane Litman In Proceedings of the North American Chapter of the Association for Computational Linguistics (NAACL) , San Diego, California, 2016 Toward Abstractive Summarization Using Semantic Representations Fei Liu, Jeffrey Flanigan, Sam Thomson, Norman Sadeh and Noah A. Smith In Proceedings of the North American Chapter of the Association for Computational Linguistics (NAACL) , Denver, Colorado, 2015 Extractive Summarization by Maximizing Semantic Volume Dani Yogatama, Fei Liu, Noah A. Smith In Proceedings of the Conference on Empirical Methods on Natural Language Processing (EMNLP) , Lisboa, Portugal, 2015 Professional Activities Professional Services Demos Chair, ACL 2018 Area Chair, EMNLP 2018 Area Chair, IJCNLP 2017 Area Chair, NLPCC 2017 Workshop Co-organizer, EMNLP 2017 Workshop on New Frontiers in Summarization NSF/IIS Panel and Ad-hoc Reviewer, 2016 Area Chair, CCL 2016, Text Classification and Summarization Track Workshop Co-organizer, AAAI 2016 Fall Symposium Area Chair, NAACL 2015, Generation and Summarization Track Journal Referee Transactions of the Association for Computational Linguistics (TACL) Journal of Artificial Intelligence Research (JAIR) IEEE/ACM Transactions on Audio, Speech, and Language Processing ACM Transactions on Asian and Low-Resource Language Information Processing ACM Transactions on Knowledge Discovery from Data IEEE Transactions on Knowledge and Data Engineering Natural Language Engineering Conference Program Committee ACL 2018, COLING 2018, NIPS 2018 ACL 2017, EMNLP 2017, EACL 2017, AAAI 2017, ICML 2017 AAAI 2016, IJCAI 2016, ACL 2016, ICML 2016, EMNLP 2016, NIPS 2016 NAACL 2015, ACL 2015, KDD 2015, PAKDD 2015, ICML 2015 Recent News ... Last modified: May 24, 2018 Web template courtesy of Vincent Ng diff --git a/src/data/compiled_bios/3329.txt b/src/data/compiled_bios/3329.txt new file mode 100644 index 0000000000..458964611d --- /dev/null +++ b/src/data/compiled_bios/3329.txt @@ -0,0 +1 @@ + Mark Llewellyn Mark Llewellyn Ph.D. Computer Science - University of Central Florida Lecturer of Computer Science Coordinator - Computer Science and Information Technology Minors School of Computer Science University of Central Florida HEC 236 Phone: (407) 823-2790 Email: markl@cs.ucf.edu Spring 2016 Schedule Monday 1:30 pm - 2:20 pm - CNT 4714 - Enterprise Computing - CB2 204 2:30 pm - 3:20 pm - OFFICE HOURS - HEC 236 3:30 pm - 4:20 pm - CNT 4603 - System Administration - CB2 206 Tuesday 1:30 pm - 2:45 pm - CIS 4004 - Web-Based Information Technology - HPA 125 3:00 pm - 4:30 pm - OFFICE HOURS - HEC 236 Wednesday 1:30 pm - 2:20 pm - CNT 4714 - Enterprise Computing - CB2 204 2:30 pm - 3:20 pm - OFFICE HOURS - HEC 236 3:30 pm - 4:20 pm - CNT 4603 - System Administration - CB2 206 Thursday 1:30 pm - 2:45 pm - CIS 4004 - Web-Based Information Technology - HPA 125 3:00 pm - 4:30 pm - OFFICE HOURS - HEC 236 Friday 1:30 pm - 2:20 pm - CNT 4714 - Enterprise Computing - CB2 204 2:30 pm - 3:20 pm - OFFICE HOURS - HEC 236 3:30 pm - 4:20 pm - CNT 4603 - System Administration - CB2 206 Research Areas: Temporal Databases, Database Systems, Programming Languages, Operating Systems Orientation presentation link diff --git a/src/data/compiled_bios/333.txt b/src/data/compiled_bios/333.txt new file mode 100644 index 0000000000..7279ccdb96 --- /dev/null +++ b/src/data/compiled_bios/333.txt @@ -0,0 +1 @@ +Name: Cobb, Jorge:: Position: Associate Professor (CS, CE, & TE):: Degrees: Ph.D.,The University of Texas at Austin, Austin, TX; M.A., The University of Texas at Austin, Austin, TX; B.S., The University of Texas at El Paso, El Paso, TX; Research Interests: Design and implementation of network protocols; Quality of Service in High-speed computer networks; Mobile computing; Concurrent and distributed computing; Major Honors and Awards: AT&T Scholarships; ; AT&T Ph.D. Scholarship, 1992-1996; AT&T Denver Laboratories Scholarship, 1986-1987; ; ; The University of Texas at Austin Scholarships; ; Microelectronics and Computer Development Fellowship, 1990-1992; ; ; The University of Texas at El Paso Scholarships and Honors; ; Graduated with Highest Honors Summa Cum Laude; Student Marshal of the College of Engineering for the graduation ceremonies; Frank N. Farah Presidential Scholarship, 1986-1987; Lucille L. Stevens Scholarship, 1984-1985; National Deans List; ; ; RepresentativePublications: ; Yi Xian, Chin-Tser Huang, and Jorge Cobb, Look-Ahead Routing and Message Scheduling; in Delay-Tolerant Networks, Computer Communications, Elsevier, Vol. 34, No. 18,; December 2011, pp. 21842194.; ; ; Jorge A. Cobb, Mohamed G. Gouda, Stabilization of Max-Min Fair Networks without Per-; Flow State, Theoretical Computer Science, Elsevier, Vol. 412, Issue 40, September 2011,; Pages 55625579.; ; ; Ravi Musunuri, Jorge Cobb, Distributed Out-bound Load Balancing in Inter-AS Routing; by Random Matchings, Telecommunication Systems, Springer, Vol. 34, No. 1-2, February; 2007.; ; ; Ravi Musunuri, Jorge Cobb, An Overview of Solutions to Avoid Persistent BGP Divergence,; IEEE Network, Vol. 19, Issue 6, Nov.-Dec. 2005, pp. 28 34.; ; ; Jorge Cobb, Mohamed Gouda, Deepinder Sidhu, Hello Again: Convergence of the Hello; Protocol in OSPF, Journal of High-Speed Networks, IOS Press, Vol. 14, No. 1, 2005, pp.; 39-58.; ; diff --git a/src/data/compiled_bios/3330.txt b/src/data/compiled_bios/3330.txt new file mode 100644 index 0000000000..0da11d32ea --- /dev/null +++ b/src/data/compiled_bios/3330.txt @@ -0,0 +1 @@ + Niels da Vitoria Lobo Niels da Vitoria Lobo Ph.D. University of Toronto Associate Professor, Department of Computer Science, University of Central Florida I received the B. Sc. (Honors) degree in Mathematics and Computer Science from Dalhousie University, Canada, and the Ph.D. in Computer Science from the University of Toronto My graduate students reside in the Computer Vision Laboratory . Contact Telephone: (407) 823-2873 E-mail: niels@cs.ucf.edu Publications Book Chapters Kocak D., da Vitoria Lobo N., and Widder E., ``Computer vision techniques for analyzing bioluminescent plankton'', CRC Press Handbook of Ocean Engineering, (to appear). da Vitoria Lobo N. and Tsotsos, J.K.,``Computing egomotion and shape from image motion using collinear points,''in Visual Form: Analysis and Recognition, eds. Arcelli, Cordelia and Sanniti di Baja, Plenum Press 1992. Pages 175--185. Journals papers Haering N., and da Vitoria Lobo N., ``Features and classification methods to locate deciduous trees in images'',Computer Vision and Image Understanding, Vol 75, Nos. 1/2, July/August 1999, pp.133-149. Bebis G., Georgiopoulos M., da Vitoria Lobo N., Shah M., ``Learning affine transformations'', Pattern Recognition, Vol 32, (1999), pp. 1783-1799. Kwon Y. H. and da Vitoria Lobo N., ``Age classification from facial images'', Computer Vision and Image Understanding Journal, Vol 74, No. 1, April 1999, pp. 1-21. Kocak D., da Vitoria Lobo N., and Widder E., ``Computer vision techniques for quantifying, tracking and identifying bioluminescent plankton'', IEEE Journal of Oceanic Engineering, Vol 24, No. 1, Jan 1999, pp. 81-95. Bebis G., Georgiopoulos M., Shah M., da Vitoria Lobo N, ``Indexing based on algebriac functions of views'', Computer Vision and Image Understanding Journal, Vol 72, No. 3, Dec 1998, pp. 360-378. Myles Z. and da Vitoria Lobo N., ``Recovering affine motion and defocus blur simultaneously'', IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol 20, No. 6, June 1998, 652-658. Bebis G., Georgiopoulos M., da Vitoria Lobo N.,``Using self-organizing maps to learn geometric hash functions for model-based object recognition'', IEEE Transactions on Neural Networks, Vol 9, No. 3, May 1998, pp. 560-570. Chen J., da Vitoria Lobo N., Hughes C.E., and Moshell M., ``Real-time fluid simulation in a dynamic virtual environment'', IEEE Computer Graphics and Applications, May-June 1997, pp. 52--61. da Vitoria Lobo N. and Tsotsos J.K., ``Computing egomotion and detecting independent motion from image motion using collinear points'', Computer Vision and Image Understanding, Vol 64, No. 1, July 1996, pp. 21-52. Chen J. and da Vitoria Lobo N., ``Real-time fluid modeling using Navier-Stokes equations", Graphical Models and Image Processing}, March 1995, pp. 107-116. Conference papers Andrew Wu, Mubarak Shah, and Niels da Vitoria Lobo A Virtual 3D Blackboard: 3D Finger Tracking using a single camera FG'2000 Fourth IEEE International Conference on Automatic Face and Gesture Recognition March 26-30, 2000. Grenoble, France. Haering N., da Vitoria Lobo N., Qian R., Sezan I., ``A Framework for designing Event Detectors'' Fourth Asian Conference on Computer Vision, Taipei, Taiwan, Jan 2000. Haering N., and da Vitoria Lobo N., ``Towards Designing Event Detectors'', International Symposium on Computer and Information Sciences, Kusadasi, Turkey, October 1999. Haering N., Myles Z., da Vitoria Lobo N., ``Locating deciduous trees'', IEEE Workshop on Content-based Access of Image and Video Libraries, San Juan, Puerto Rico, June 1997. Uhl R. and da Vitoria Lobo N., ``A framework for recognizing a facial image from a police sketch'', IEEE Conference on Computer Vision and Pattern Recognition, San Francisco, June 1996, Myles Z. and da Vitoria Lobo N., ``Recovering affine motion and defocus blur simultaneously'', IEEE Conference on Computer Vision and Pattern Recognition, San Francisco, June 1996. Bebis G., Georgiopoulos M., da Vitoria Lobo N. and Shah M., ``Learning affine transformations of the plane for model-based object recognition'', International Conference on Pattern Recognition, Vienna, Austria, August 1996. Kocak D., da Vitoria Lobo N., and Widder E., ``Tracking and mapping underwater bioluminescent displays using snakes'', MTS/IEEE Conference on OCEANS, September 1996. Bebis G., Georgiopoulos M., da Vitoria Lobo N., ``Learning geometric hashing functions for model-based object recognition", International Conference on Computer Vision}, Cambridge, MA, June 1995. Mall H. and da Vitoria Lobo N., ``Determining wet surfaces from dry", International Conference on Computer Vision, Cambridge, MA, June 1995. Uhl R., da Vitoria Lobo N. and Kwon Y., ``Recognizing police sketches of faces", Wkshp on Applications of Computer Vision, Sarasota, FL, Dec 1994, 129-137. Kwon Y. and da Vitoria Lobo N., ``Detecting faces in images using templates", Intl. Conf. on Pattern Recognition, Israel, October 1994, 764-767. Macchi W. and da Vitoria Lobo N., ``Modeling rough interreflections", Intl. Conf. on Pattern Recognition, Israel, October 1994, 602-605. Kwon Y. and da Vitoria Lobo N., ``Age classification from facial images", IEEE Conf on Computer Vision and Pattern Recognition, Seattle, June 1994, 762-767. Kwon Y. and da Vitoria Lobo N., ``Age classification from facial feature analysis," Conference on Intelligent Robots and Computer Vision, Boston, 1993. da Vitoria Lobo N. and Tsotsos J.K., ``Using collinear points to compute egomotion and detect nonrigidity," Proc. Conference on Computer Vision and Pattern Recognition, Maui, Hawaii, June 1991, pp. 344-350. da Vitoria Lobo N. and Tsotsos, J.K., ``Computing egomotion and shape from image motion using collinear points,'' International Workshop on Visual Form, Capri, Italy, May 1991. da Vitoria Lobo N. and Tsotsos, J.K., ``The perceptual mechanisms of telling where one is heading and where objects move independently,'' Proceedings of the Conference of the Cognitive Science Society, Chicago, August 1991, pp. 43-48. da Vitoria Lobo N. and Tsotsos J.K., ``Towards recognition of independent motion in optical flow," Proceedings of the IJCAI-91 Workshop on Dynamic Scene Understanding, Sydney, Australia, August 1991. da Vitoria Lobo N. and Tsotsos J.K., ``Shape from binocular disparity and incomplete knowledge of baseline parameters,'' Proceedings of the European Conference on Artificial Intelligence, Stockholm, August 1990, pp. 201-203. da Vitoria Lobo N. and Tsotsos J.K., ``Extracting qualitative shape from image motion: applications to stereo-pairs," Proc. of the AAAI Workshop on Qualitative Vision, Boston, July 1990, pp. 36-40. da Vitoria Lobo N., ``Rigidity and Three-Dimensional Motion from Binocular Image Motion,'' Proc. of Vision Interface-90, Halifax, May 1990, pp. 194-196. da Vitoria Lobo N., ``Towards Shape from Image Motion,'' Proc. Conference on Sensing and Reconstruction of Three-Dimensional Objects and Scenes, Santa Clara, California, February 1990, pp. 72-79. Patents da Vitoria Lobo N. and Kwon Y. ``Age classification from facial images", U.S. Patent Number xxxxxxx, issued August 1998. da Vitoria Lobo N. and Kwon Y. ``Face detection using templates", U.S. Patent Number 5835616, issued November 1998. da Vitoria Lobo N. and Chen J., ``Real-time fluid modeling using Navier-Stokes equations", U.S. Patent Number 5537641, issued July 1996. diff --git a/src/data/compiled_bios/3331.txt b/src/data/compiled_bios/3331.txt new file mode 100644 index 0000000000..b2fdc43779 --- /dev/null +++ b/src/data/compiled_bios/3331.txt @@ -0,0 +1 @@ + Dan Cristian Marinescu Dan Cristian Marinescu Ernest T. S. Walton Fellow Professor of Computer Science Provost Research Professor M.S., Electrical Engineering, Polytechnic Institute, Bucharest, M.S., Electrical Engineering and Computer Science, University of California at Berkeley, Ph.D., EECS, Polytechnic Institute, Bucharest, Computer Science Division Department of Electrical Engineering and Computer Science University of Central Florida, 4000 Central Florida Boulevard, Orlando, Fl, 32814 Office: Harris Engineering Center 304 Phone: (407) 823 4860 FAX: (407) 823 5419 Email:dcm@cs.ucf.edu Send Email Dan C. Marinescu is Professor of Computer Science. From 1984 until August 2001 he was a Professor of Computer Science and (by courtesy) of Electrical and Computer Engineering at Purdue University in West Lafayette, Indiana. Before coming to Purdue, Dr. Marinescu was an associate professor of EECS at the Polytechnic Institute in Bucharest and a senior researcher at the Institute for Atomic Physics of the Romanian Academy of Science, the Joint Nuclear Research Institute at Dubna , and G.S.I. Darmstadt. He was a visiting professor at: IBM T. J. Watson Research Center, Yorktown Heights, New York (1985); Institute of Information Sciences, Beijing (1992); Scalable Systems Division of Intel Corporation (1993); Deutsche Telecom (1996); INRIA Paris (1998, 2000, 2005, 2006) and University College Cork in Ireland (2007, 2008). His research interests cover parallel and distributed systems, Petri Nets, scientific computing, and quantum computing and quantum information theory. In early 1980s Dr. Marinescu was the chief architect of a real-time data acquisition and analysis system used in experiments leading to the discovery of the super-heavy elements. In the late 1980s he lead a project in computational biology focused on the development of parallel algorithms and methods for the 3-D atomic structure determination of large macromolecules like viruses. He co-edited the book "Process Coordination and Ubiquitous Computing " published by CRC Press in October 2002. Selected Publications out of more than 220: http://scholar.google.com/scholar?hl=en&q=author:Dan+author:Marinescu&btnG=Search&as_subj=eng&as_sdt=40001&as_ylo=&as_vis=0 Research: The Computing Frontiers Laboratory I2Lab - Interdisciplinary Information Science and Technology Laboratory Teaching Publications The cover of the April 2006 issue of the Journal of Structural Biology shows a structure from the paper A model-based parallel origin and orientation refinement algorithm for cryoTEM and its application to the study of virus structures by Yongchang Ji, Dan C. Marinescu, Wei Zhang, Xing Zhang, Xiaodong Yan and Timothy S. Baker. Talks Keynote Addresses and Tutorials Books Internet-Based Workflow Management Motgan KaufmannWiley 2002 Approaching Quantum Computing Prentice Hall in 2004 Errata to Approaching Quantum Computing Classical and Quantum Information Academic Press 2011 Cloud Computing :Theory and Practice Morgan Kaufmann 2013 Self-organization of Large-scale Systems Morgan Kaufmann 2016 (to be published) Boole Lecture University College Cork , February 15, 2007 The 2004 Prizes of the Romanian Academy of Science for Informatics Fulbright Lectures - Chile 2012 Tutorial at RCIS - May 2013, Paris (Research Challenges in Information Sciences) Powerpoint PDF diff --git a/src/data/compiled_bios/3332.txt b/src/data/compiled_bios/3332.txt new file mode 100644 index 0000000000..08d9e15beb --- /dev/null +++ b/src/data/compiled_bios/3332.txt @@ -0,0 +1 @@ + Aziz Mohaisen Toggle navigation Home | Publications Team Aziz Mohaisen Associate Professor Deptartment of Computer Science Director , Security Analytics Research Lab (SEAL) co-Director , Research Lab of Big Data Security University of Central Florida 4353 Scorpius Street, Orlando, FL 32816-0120, USA Phone: 407-823-1294 (I don't check voicemail) e-mail: mohaisen@ucf.edu. Office: 377 Research 1. Research Interests: Computer Security and Privacy. My current research projects focus on security analytics and measurements, IoT security, blockchains, adversarial machine learning, and deep learning applications to security. Short Biography : Before joining UCF in 2017, I was an assistant professor at SUNY Buffalo. I obtained my PhD from the University of Minnesota, and spent several years in the industry, initially at ETRI and most recently at Verisign Labs. I am a senior member of ACM (2018) and IEEE (2015). Up to date work available from DBLP and Google Scholar . Openings : We currently do not have any openings. Recent News 01/2019: I will be the general co-chair (with Zhi-Li Zhang) for ACM CoNEXT 2019 , which will be held in Orlando! 01/2019: I will be the PC co-chair (with Wenjing Lou) for SECURECOMM 2019 , which will be held in Orlando! 02/2019: Afsah, Ahmed, Amin, Hisham, Jinchun, Jiyoo, and Saad will attend NDSS 2019 with 6 posters 02/2019: Congrats to Saad, Afsah, Hisham and Ashar for two papers on blockchains security accepted at IEEE ICBC 2019 02/2019: Congrats to Ashar and Saad for a paper on blockchains security accepted at IEEE ICC 2019 02/2019: Many thanks to NVIDIA for donating graphics processing units for our adversarial / deep learning work 01/2018: Congrats to Jinchun and Jiyoo for passing their candidacy. ABD (expected graduation: 2020) 12/2018: Two book chapters on blockchain security are accepted and to appear in a book collection by Shetty et al. (2019) 11/2018: We received a new AFRL contract (with/via ODU) for blockchain security research. Thanks AFRL! 11/2018: We won the best paper award at ACM DLoT for secure audit with blockchains; congrats Ashar and Saad. 11/2018: Congrats to Ashar and Hisham for passing their candidacy. ABD (expected graduation: 2020) 10/2018: SEAL hosted 60 middle school students for a security awareness day via STEM Day . 06/2018: SEAL hosted 80 high school students for a security summer camp via Camp Connect . Check out some of the photos 06/2018: Jeff accepted a tenure-track Assistant Professor position at Niagara University . Successfully defended, too! 04/2018: I was elevated to the rank of ACM senior member (IEEE senior member since 2015). 04/2018: FC2 funded our project on mobile security training (joint with Karim Elish from Florida Poly). Thanks FC2! 04/2018: Served as an offense to the defense of An Wang (GMU) and Amirali Sanatinia (NEU)! Well done! Congrats! 04/2018: One paper accepted in SECURECOMM 2018 . Congratulations to Afsah and Amin! 04/2018: Two papers accepted to IEEE ICDCS 2018 . Congratulations to Sungha, Youngdon, and Shinyoung! 03/2018: Incremental funding from AFRL for blockchain research! Thanks AFRL! 04/2018: Ahmed will be funded by an ORC fellowship for 2018/2019! Congrats, Ahmed. 03/2018: FC2 funded our project on thwarting APTs in IoT (joint with My T. Thai from UF). Thanks FC2! 02/2018: We welcomed Ashar, Jinchun, Jiyoo, and Ahmed for their Ph.D. studies. 02/2018: Two papers accepted at ICASSP 2018 (QoI and DigitalSEAL). Congrats to Jeman, Hisham, and Changhun. 01/2018: Two papers were accepted in IEEE Trans on Dependable and Secure Computing . Congrats to An and Wentao 01/2018: I was invited to the editorial board of IEEE Transactions on Mobile Computing . Submit your best work! Recent Publications ACM CCS 2018 Large-Scale and Language-Oblivious Code Authorship Identification ISOC NDSS 2018 ABC: Enabling Smartphone Authentication with Built-in Camera Media CACM , Science Newsline , New Atlas , Geek.com , Digital Trends , Futurity , etc. IEEE ICDCS 2018 SSD-Insider: Internal Defense of Solid-State Drive against Ransomware IEEE ICDCS 2018 ShmCaffe: A Distributed Deep Learning Platform with Shared Memory IEEE PST 2018 Realistic Evaluation of the Very Short Intermittent DDoS Attacks SECURECOMM 2018 Understanding the Hidden Cost of Software Vulnerabilities: Measurements and Predictions IEEE ICASSP 2018 QOI: Assessing Participation in Threat Information Sharing IEEE ICASSP 2018 DIGITALSEAL: A Transaction Authentication Tool for Online and Offline Transactions ACM DLoT 2018 Towards Blockchain-Driven, Secure and Transparent Audit Logs ( Best paper award ) Comp & Security 2018 Physical Protection for PIN Entry Secure against Recording Attacks ACM/IEEE ToN 2018 Delving into Internet DDoS Attacks by Botnets: Characterization and Analysis IEEE TMC 2018 Pricing Data Tampering in Automated Fare Collection with NFC-equipped Smartphones IEEE TMC 2018 Android Malware Detection using Complex-Flows IEEE TDSC 2018 A Data-Driven Study of DDoS Attacks and Their Dynamics IEEE TDSC 2018 Look-aside At Your Own Risk: Privacy Implications of DNSSEC Look-aside Validation IEEE ICC 2018 Securing the Internet of Things: A Machine Learning Approach ( Tutorial ) IEEE HotPOST 2018 Towards Characterizing Blockchain-based Cryptocurrencies for Highly-Accurate Predictions RFC 8391 / 2018 XMSS: Extended Hash-Based Signatures ( Standard ) IEEE ICDCS 2017 An Adversary-Centric Behavior Modeling of DDoS Attacks IEEE ICDCS 2017 Privacy Implications of DNSSEC-Lookaside Validation IEEE ICDCS 2017 When Smart TV Meets CRN: Privacy-preserving Fine-grained Spectrum Access IEEE ICDCS 2017 Android Malware Detection Using Complex Flows IEEE ICDCS 2017 Rogue Access Point Detector Using Channel Overlapping in 802.11n ( Demo ) IEEE ICDCS 2017 Defending Against Voice Impersonation Attacks on Smartphones ( Best student paper ) Media Phys.org , Sci. Amer. , CBS , Financial Express , Tech Radar , NDTV , Science Daily , Gizmodo , etc. IEEE INFOCOM 2017 Large-scale Invisible Attack on AFC Systems with NFC-equipped Smartphones Financial Crypto 2017 Graph Encryption for Exact Shortest Distance Queries with Efficient Updates SECURECOMM 2017 Understanding Adversarial Strategies from Bot Recruitment to Scheduling ACM HotWeb 2017 Understanding the Effectiveness of Typosquatting Techniques ACM HotWeb 2017 Rethinking Information Sharing for Threat Intelligence ACM/IEEE ToN 2017 Leakage of .onion at the DNS Root: Measurements, Causes, and Countermeasures ( 3.376 ) ACM WiSec 2017 Highly-Accurate Access Point Detection using Intentional Interference ACM WiSec 2017 Two-level Network Monitoring in WLAN using Software-Defined Networking USPTO 2017 Access control for named domain networking ( Patent ) USPTO 2017 Methods and systems for domain name data networking ( Patent ) IEEE TIFS 2017 Crime Scene Reconstruction: Online Gold Farming Network Analysis ( 2.44 ) ISOC NDSS 2016 Uncovering game bots in MMORPGs via self-similarity in the wild ( 15% ) IEEE TKDE 2016 Private Over-threshold Aggregation Protocols over Distributed Databases ( 1.82 ) Comp & Security 2016 Andro-Dumpsys: Anti-malware system based on malware creator information DIMVA 2015 Revealing DDoS Attack Dynamics behind the Scenes ( 23% ) ACM ASIACCS 2015 Measuring Botnets in the Wild: Some New Trends ( 22% ) IEEE CNS 2015 Separating Benign and Malicious Network Events for Malware Classification ( 28% ) IEEE DSN 2015 Delving into Internet DDoS Attacks by Botnets: Characterization and Analysis ( 22% ) IEEE TDSC 2015 Timing Attacks on Access Privacy in ICN and Countermeasures ( 1.59 ) Comp & Security 2015 Transaction authentication using complementary colors. Comp & Security 2015 AMAL: High-fidelity, behavior-based automated malware analysis and classification ACM IMC 2014 Measuring Domain Forwarding and Applications at the Internet Scale ( 20.3% ) DIMVA 2014 Metadata-driven Threat Classification of Network Endpoints Appearing in Malware ( 23% ) DIMVA 2014 AV-Meter: An Evaluation of Antivirus Scans and Labels ( 23% ) ACM WPES 2014 Measuring the Leakage of Onion at the Root ( 25% ) IEEE CNS 2014 Exploring Classification of Malware using the Order of Events ( 26% ) IEEE TMC 2014 Keylogging-resistant Visual Authentication Protocols ( 2.91 ) IEEE TDSC 2014 Secure encounter-based social networks: Requirements, challenges, and designs ( 1.59 ) ACM ASIACCS 2013 Dynamix: anonymity on dynamic social structures ( 28% ) IEEE TSC 2013 Trustworthy Distributed Computing on Social Networks ( 2.37 ) Media MIT Technology Review , The Verge , Data News , Atelier , msn.com . IEEE TVT 2013 Trading Optimality for Scalability in Large-scale Opportunistic Routing ( 2.64 ) ACM ASIACCS 2012 On the mixing time of directed social graphs and security implications ( 18% ) IEEE INFOCOM 2012 Dynamic energy-oriented scheduling for sustainable wireless sensor networks ( 18% ) ISOC NDSS 2011 Losing control of the Internet: Using the data plane to attack the control plane ( 18% ) Media New Scientist , CBS News , Slashdot , METRO , The Register , Gizmodo , etc. IEEE INFOCOM 2011 Incorporating trust into social network-based Sybil defenses ( 16% ) ACM IMC 2010 Measuring the mixing time of social graphs ( 22% ) Advising Current Advising Ashar Ahmad B (PhD, 2015) Jinchun Choi N (PhD, 2015) Jiyoo Jang N (PhD, 2015) Mohamed Abuhamad N (PhD, 2015) Jeman Park (PhD, 2016) Hisham Alasmary (PhD, 2017) Afsah Anwar (PhD, 2017) Amin Khormali (PhD, 2017) Muhammad Saad (PhD, 2017) Ahmed Abusnaina (PhD, 2018) Ulku Meteriz (PhD, 2018) Sultan Alshamrani (PhD, 2019) Connor Austin (B.Sc., 2018) B co-advised with Prof. Bassiouni N co-advised with Prof. Nyang Past Advising Jeff Spaulding (Ph.D., 2018) Assistant Prof, Niagara U. Joe D'Amato (M.Sc., 2016) The MITRE Corporation Jesse Freeman (M.Sc., 2016) Department of Defense Chris Weeden (M.Sc., 2016) Department of Defense Woodams Clark , (M.Sc., 2016) Department of Defense Teaching S-19: CIS 4361: OS Security S-19: CAP 6640: NLP F-18: CIS 4615: Software Security S-18: CAP 6133: Adv. Security F-17: CIS 4615: Software Security F-16: CSE 709: Adv. Security F-16: CSE 410: Intro to Security S-16: CSE 664: Applied Crypto F-15: CSE 709: Adv. Security Service Editor, IEEE TMC Editor, ETRI Journal (Wiley) PC Chair, SECURECOMM 2019 PC Chair, IEEE ICC 2019 (security) General Chair, ACM CoNEXT 2019 Posters Chair, ACM WiSec 2019 Workshops Chair, ACM SEC 2019 Sponsors We are very grateful for the current and past sponsorship of NSF, AFRL, AFOSR, NRF, UCF CECS, FC2, and NVIDIA. Patents US 9578125 (2017) US 9489514 (2016) US 8745696 (2014) US 8112386 (2012) US 14/868594 (2017) US 15/147387 (2017) US 14/923210 (2016) US 14/510655 (2015) US 14/186644 (2015) EP 2916256A1 (2015) Features Rogue AP Detection Voice Impersonation diff --git a/src/data/compiled_bios/3333.txt b/src/data/compiled_bios/3333.txt new file mode 100644 index 0000000000..2bab25f83a --- /dev/null +++ b/src/data/compiled_bios/3333.txt @@ -0,0 +1 @@ + Euripides Montagne's Home Page Department of Computer Science University of Central Florida Eurpides Montagne Associate Lecturer University of Central Florida Department of Electrical Engineering and Computer Science, HEC 216 4000 Central Florida Blvd. Orlando, FL 32816-2362 Phone: (407) 823-2684 email: eurip@cs.ucf.edu Research Interests: Program optimization of irregular problems, parallel processing, non-standard computer architectures, computer science education. Publications: Publications: Biographical information: Bio: Research: Projects: MAX-UP: Member: Teaching: Summer 2018 COP3402: Systems Software CGS3763: Operating System Concepts CGS3269: Computer Architecture Concepts We are members of the Maxeler University Program: diff --git a/src/data/compiled_bios/3334.txt b/src/data/compiled_bios/3334.txt new file mode 100644 index 0000000000..0ca6faf41b --- /dev/null +++ b/src/data/compiled_bios/3334.txt @@ -0,0 +1 @@ + Thomas Nedorost - Home CS DIVISION ECE DIVISION THOMAS NEDOROST nedorost@cs.ucf.edu (407) 823-0408 Department Fax: (407) 823-5835 HEC 317 Thomas Nedorost BIOGRAPHY Dr. Tom Nedorost joined the University of Central Florida in 2012 as a Lecturer of Computer Science and Information Technology. He was promoted to Associate Lecturer in 2018. Dr. Nedorost is the Course Coordinator for CGS1060C-Introduction to Computers, CGS2100C-Computer Fundamentals for Business, and CIS4940C-Topics in Cybersecurity, and Director of the IT Internship Program. He also serves as the Faculty Advisor for the Collegiate Cyber Defense Club (aka Hack@UCF) and Coach for the UCF Collegiate Cyber Defense Competition Team. Under his leadership, the UCF CCDC Team won back-to-back-to-back National Championships in the 2014, 2015 and 2016 National Collegiate Cyber Defense Competition . Hack@UCF was awarded the Collegiate Cybersecuirty Championship Cup (C4) for both 2014 and 2015 in recognition of the club's record of exceptional performances over a wide variety of cybersecurity competitions. Dr. Nedorost is a member of the Association for Computing Machinery (ACM), Colloquim for Information Systems Security Education (CISSE), InfraGard, ISACA, Information Systems Security Association (ISSA), Florida Cyber Alliance, National CyberWatch, CyberWatch West, and the Open Web Application Security Project (OWASP). His interests include cybersecurity, information assurance, digital literacy, and societal impacts of new technologies. Dr. Nedorost earned his EdD in Higher & Postsecondary Education at Arizona State University in 2007. He holds a MS in Management Information Systems from the University of Central Florida and a MBA in Management from the UCLA Anderson School of Management. His undergraduate education includes a BS in Computer Science from Northern Illinois University, a BB in Personnel Administration & Industrial Relations from Western Illinois University, an AS in Computer Programming & Analysis from Valencia College, and an AA from Moraine Valley Community College. Prior to joining UCF, Dr. Nedorost taught Computer Information Technology courses at Valencia College in Orlando, FL. His past industry experience includes technical management positions with Andersen Consulting (now Accenture), the Hewlett-Packard Company, and the Walt Disney World Company. Dr. Nedorost is actively involved in his local community and is an elected City Council Member and former Mayor of Lake Buena Vista, FL. diff --git a/src/data/compiled_bios/3335.txt b/src/data/compiled_bios/3335.txt new file mode 100644 index 0000000000..deff4d02dd --- /dev/null +++ b/src/data/compiled_bios/3335.txt @@ -0,0 +1 @@ + Ali Orooji Ali Orooji Associate Professor School of Electrical Engineering and Computer Science University of Central Florida Harris Engineering Center, Room 345 Phone: (407) 823-5660 Email: orooji@eecs.ucf.edu Dr. Orooji received his Ph.D. degree in Computer Science from The Ohio State University (Columbus, Ohio). His primary research interests are database systems, object-oriented systems and software engineering. He has authored several papers related to these areas. He has served as reviewer for several journals and conferences. He has also served on the program committee for several conferences. Dr. Orooji is the Director of North America for the ACM International Collegiate Programming Contest (this worldwide competition had a participation of 88 countries and over 7,000 teams in the 2008-2009 academic year). He is also a member of the ACM-ICPC Executive Committee and International Steering Committee. Dr. Orooji has been the faculty advisor for the UCF programming teams since 1989. During this time, the UCF teams have won the Southeast Regional Contest (typically 80-90 teams) eleven times, placed 2nd six times, and placed 3rd in the remaining three times. Dr. Orooji has organized the high school programming contest at UCF since 1989 (over 80 different high schools have participated in this contest). Dr. Orooji is a member of the Executive Council for the National UPE (Upsilon Pi Epsilon - Honor Society for the Computing and Information Disciplines). He has also established the UPE chapter at the University of Central Florida (1991) and has been the faculty advisor for the local chapter. diff --git a/src/data/compiled_bios/3336.txt b/src/data/compiled_bios/3336.txt new file mode 100644 index 0000000000..9b074e87c5 --- /dev/null +++ b/src/data/compiled_bios/3336.txt @@ -0,0 +1 @@ + Sumanta N. Pattanaik Ph.D., Computer Science, BITS-Pilani Associate Professor School of Electrical Engineering and Computer Science Engr III, Room 218 University of Central Florida Phone: (407) 823-2638 email: sumant 'at' cs.ucf.edu research page: graphics.cs.ucf.edu Personal Information I am an associate professor of Computer Science in the School of Electrical Engineering and Computer Science at University of Central Florida , Orlando. Previously, I was a Research Associate at the Cornell Program of Computer Graphics , Cornell University (1995-2001), a Post-Doctoral Associate at the SIAMES group of IRISA/INRIA , Rennes, France (1993-1995), and a Senior Staff Scientist at the Graphics Department of NCST , Bombay (1985-1995). I received my PhD from the Department of Computer Science and Information Science of BITS, Pilani in November 1993. Research Interests My area of interest include Computer Graphics, Virtual Reality and Visualization. My current research is in the area of Realtime Realistic Image Synthesis . For details about my publications and research, check the following links. Publications UCF Graphics Lab Teaching CAP5725 : Computer graphics Fundamentals(Spring 2007) CAP4720 : Computer graphics (Fall 2006) COP3530 : Computer Science III - Algorithm Design and Analysis (Fall 2006) last update: Feb 22, 2007 diff --git a/src/data/compiled_bios/3337.txt b/src/data/compiled_bios/3337.txt new file mode 100644 index 0000000000..64948b13d3 --- /dev/null +++ b/src/data/compiled_bios/3337.txt @@ -0,0 +1 @@ + CRCV | Center for Research in Computer Vision at the University of Central Florida MENU HOME ABOUT NEWS & INFO News Past Seminars Seminar Videos Newsletters 2010-2011 2008-2009 2007 2006 2005 GAUSS REU FOCUS PUBLICATIONS All Publications arXiv Books Book Chapters Book Series Conference Papers Journal Papers Technical Reports Theses RESEARCH Projects Human Action and Activity Recognition Tracking Video Segmentation Crowd Analysis Motion Patterns UAV Video Analysis High Level Computer Vision Object Detection and Scene Segmentation Exploiting Multiple View Data for Tracking, Reconstruction & Recognition Biomedical Image Analysis Geospatial Localization/Registration Video Categorization, Retrieval and Temporal Segmentation Multimedia Event Detection Shape from Shading View Morphing Facial Analysis Computational Visual Aesthetics Computer Vision Systems Miscellaneous Presentations Source Code Motion Segmentation Time Series Prediction Background Modeling Shape from Shading Fundamental Matrix Mean-Shift Algorithms Kernel Density Estimation K-Means Algorithms for Data Clustering Normalized Cuts Dimension Reduction Facial Analysis Optical Flow Image Registration Color Space Transformations Image Acquisition Miscellaneous 3D SIFT SPREF FRAISE Video Object Segmentation Useful Links Data Sets Human Actions UCF101 UCF50 UCF11 (YouTube Action) UCF Sports Action UCF Aerial Action UCF-ARG UCF-iPhone Crowd Segmentation Crowd Counting CLIF Data Set Ground Truth Tracking in High Density Crowds PNNL Parking Lot Fire Detection in Video Sequences VIRAT Motion Capture ALOV++ Google Street View Industry Sponsors REU About List of Grants Participants & Projects 2010s 2000s 1990s 1980s REU Model Twenty Year Celebration Publications Honors in the Major Theses COURSES CAP 4453 Robot Vision CAP 5415 Computer Vision CAP 6411 Computer Vision Systems CAP 6412 Advanced Computer Vision COT 6505 Computational Methods Tutorials Video Lectures 2014 2012 PEOPLE Faculty Distinguished Guest Professors Associated Faculty Research Associates Technical Staff Office Staff Ph.D. Students M.S. Students B.S. Students H.S. Students Visitors Alumni Postdoc Researchers Ph.D. Students M.S. Students H.S. Students Visitors JOIN CONTACT US ABOUT NEWS & INFO PUBLICATIONS RESEARCH REU COURSES PEOPLE JOIN CONTACT Mubarak Shah, PhD Back to Faculty Google Scholar Complete Vita Books I am Reading My Favorite Restaurants My Favorite TED Talks Books, Journals Undergraduate Research Survey Papers, Commentary Courses, Tutorials, Talks Contact Me Trustee Chair Professor, Director CRCV | Center for Research in Computer Vision University of Central Florida 4328 Scorpius St. HEC 245D Orlando, FL 32816-2365 Phone: (407) 823-5077 Fax: (407) 823-0594 Office: HEC 245D E-mail: shah@crcv.ucf.edu Brief Bio Dr. Mubarak Shah, Trustee Chair Professor of Computer Science, is the founding director of the Center for Research in Computer Vision at UCF. His research interests include: video surveillance, visual tracking, human activity recognition, visual analysis of crowded scenes, video registration, UAV video analysis, etc. Dr. Shah is a fellow of IEEE, AAAS, IAPR and SPIE. In 2006, he was awarded a Pegasus Professor award, the highest award at UCF. He is ACM distinguished speaker. He was an IEEE Distinguished Visitor speaker for 1997-2000 and received IEEE Outstanding Engineering Educator Award in 1997. He received the Harris Corporation's Engineering Achievement Award in 1999, the TOKTEN awards from UNDP in 1995, 1997, and 2000; Teaching Incentive Program award in 1995 and 2003, Research Incentive Award in 2003 and 2009, Millionaires' Club awards in 2005 and 2006, University Distinguished Researcher award in 2007, honorable mention for the ICCV 2005 Where Am I? Challenge Problem, and was nominated for the best paper award in ACM Multimedia Conference in 2005. He is an editor of international book series on Video Computing; editor in chief of Machine Vision and Applications journal, and an associate editor of ACM Computing Surveys journal. He was an associate editor of the IEEE Transactions on PAMI, and a guest editor of the special issue of International Journal of Computer Vision on Video Computing. Copyright 2011 CRCV University of Central Florida Orlando, Florida 32816-2365 Phone: (407) 823-1119 | Fax: (407) 823-0594 diff --git a/src/data/compiled_bios/3338.txt b/src/data/compiled_bios/3338.txt new file mode 100644 index 0000000000..1c1e0c16ae --- /dev/null +++ b/src/data/compiled_bios/3338.txt @@ -0,0 +1 @@ +ARPERS Research Group Search this site ARPERS Research Group Menu Home People News ARPERS in the News: Hardware Encryption Developed for New Computer Memory Technology, US News & World Report Best Paper Runner-Up Award from MICRO-50 Congrats Amro for his ISCA 2017 paper, and Seunghee for his ISCA 2017 paper! Congratulations Ahmad for passing your PhD final defense! Congratulations Amro and Hussein/Mohammad for PACT 2017 papers, Seunghee and Tiancong for MICRO 2017 papers! Congratulations Amro for the acceptance of ASPLOS paper! Congratulations Devesh for passing PhD final defense! Congratulations for Yipeng and Ganesh for their papers at PACT 2015 and MEMSYS 2015 Congratulations Ganesh, Devesh, Anil, and Ahmad for accepted HPCA, IPDPS, and ISPASS papers. Congratulations Seunghee for passing the PhD final defense! Congratulations Seunghee for the acceptance of MEMSYS paper! Congratulations to Satish and Mohammad for passing the qualifying exam! Congratulations Yipeng and Amro for Defending Their Theses! Congratulations, Seunghee and Mohammad for their ISCA papers! Dr. Solihin will be serving as the Director of the NSF's program of Computer Systems Research (CSR), Congratulations Dr. Solihin! Fang Liu has passed her PhD final defense. Congratulations, Fang! HPCA Hall of Fame IEEE Spectrum's article "Researchers Invent a Way to Speed Intels 3D XPoint Computer Memory" In the News: Researchers Tackle Multi-core Computer Chip Shortcomings, Network World Keynotes and New NSF Program! New book Fundamentals of Parallel Multicore Architecture - Coming in Nov 2015! News Coverage for PACT paper "CAF: Core to Core Communication Acceleration Framework" News Coverage: How do you "shred" data on nonvolatile memory? News Update Paper "Evaluating Placement Policies for Managing Capacity Sharing in CMP Architectures with Private Caches" was accepted at ACM TACO journal. Congratulations, Ahmad! Paper "SecureME: A Hardware-Software Approach to Full System Security" accepted at ICS 2011. Congratulations Sid! Paper on Incremental Encryption on Non-Volatile Memory accepted at ISCA 2011. Congratulations, Sid! Positions available: Postdocs in Cybersecurity + PhD students for Fall 2019 Yan Solihin is elevated to IEEE Fellow Publications UCF CyberSecurity & Privacy Software ARPERS Research Group Home People News ARPERS in the News: Hardware Encryption Developed for New Computer Memory Technology, US News & World Report Best Paper Runner-Up Award from MICRO-50 Congrats Amro for his ISCA 2017 paper, and Seunghee for his ISCA 2017 paper! Congratulations Ahmad for passing your PhD final defense! Congratulations Amro and Hussein/Mohammad for PACT 2017 papers, Seunghee and Tiancong for MICRO 2017 papers! Congratulations Amro for the acceptance of ASPLOS paper! Congratulations Devesh for passing PhD final defense! Congratulations for Yipeng and Ganesh for their papers at PACT 2015 and MEMSYS 2015 Congratulations Ganesh, Devesh, Anil, and Ahmad for accepted HPCA, IPDPS, and ISPASS papers. Congratulations Seunghee for passing the PhD final defense! Congratulations Seunghee for the acceptance of MEMSYS paper! Congratulations to Satish and Mohammad for passing the qualifying exam! Congratulations Yipeng and Amro for Defending Their Theses! Congratulations, Seunghee and Mohammad for their ISCA papers! Dr. Solihin will be serving as the Director of the NSF's program of Computer Systems Research (CSR), Congratulations Dr. Solihin! Fang Liu has passed her PhD final defense. Congratulations, Fang! HPCA Hall of Fame IEEE Spectrum's article "Researchers Invent a Way to Speed Intels 3D XPoint Computer Memory" In the News: Researchers Tackle Multi-core Computer Chip Shortcomings, Network World Keynotes and New NSF Program! New book Fundamentals of Parallel Multicore Architecture - Coming in Nov 2015! News Coverage for PACT paper "CAF: Core to Core Communication Acceleration Framework" News Coverage: How do you "shred" data on nonvolatile memory? News Update Paper "Evaluating Placement Policies for Managing Capacity Sharing in CMP Architectures with Private Caches" was accepted at ACM TACO journal. Congratulations, Ahmad! Paper "SecureME: A Hardware-Software Approach to Full System Security" accepted at ICS 2011. Congratulations Sid! Paper on Incremental Encryption on Non-Volatile Memory accepted at ISCA 2011. Congratulations, Sid! Positions available: Postdocs in Cybersecurity + PhD students for Fall 2019 Yan Solihin is elevated to IEEE Fellow Publications UCF CyberSecurity & Privacy Software More Home People News ARPERS in the News: Hardware Encryption Developed for New Computer Memory Technology, US News & World Report Best Paper Runner-Up Award from MICRO-50 Congrats Amro for his ISCA 2017 paper, and Seunghee for his ISCA 2017 paper! Congratulations Ahmad for passing your PhD final defense! Congratulations Amro and Hussein/Mohammad for PACT 2017 papers, Seunghee and Tiancong for MICRO 2017 papers! Congratulations Amro for the acceptance of ASPLOS paper! Congratulations Devesh for passing PhD final defense! Congratulations for Yipeng and Ganesh for their papers at PACT 2015 and MEMSYS 2015 Congratulations Ganesh, Devesh, Anil, and Ahmad for accepted HPCA, IPDPS, and ISPASS papers. Congratulations Seunghee for passing the PhD final defense! Congratulations Seunghee for the acceptance of MEMSYS paper! Congratulations to Satish and Mohammad for passing the qualifying exam! Congratulations Yipeng and Amro for Defending Their Theses! Congratulations, Seunghee and Mohammad for their ISCA papers! Dr. Solihin will be serving as the Director of the NSF's program of Computer Systems Research (CSR), Congratulations Dr. Solihin! Fang Liu has passed her PhD final defense. Congratulations, Fang! HPCA Hall of Fame IEEE Spectrum's article "Researchers Invent a Way to Speed Intels 3D XPoint Computer Memory" In the News: Researchers Tackle Multi-core Computer Chip Shortcomings, Network World Keynotes and New NSF Program! New book Fundamentals of Parallel Multicore Architecture - Coming in Nov 2015! News Coverage for PACT paper "CAF: Core to Core Communication Acceleration Framework" News Coverage: How do you "shred" data on nonvolatile memory? News Update Paper "Evaluating Placement Policies for Managing Capacity Sharing in CMP Architectures with Private Caches" was accepted at ACM TACO journal. Congratulations, Ahmad! Paper "SecureME: A Hardware-Software Approach to Full System Security" accepted at ICS 2011. Congratulations Sid! Paper on Incremental Encryption on Non-Volatile Memory accepted at ISCA 2011. Congratulations, Sid! Positions available: Postdocs in Cybersecurity + PhD students for Fall 2019 Yan Solihin is elevated to IEEE Fellow Publications UCF CyberSecurity & Privacy Software Home ARPERS ( A rchitecture R esearch for PE rformance, R eliability, and S ecurity) research group was formed in 2002 at NCSU by Prof. Yan Solihin and is now primarily homed at UCF. ARPERS focuses on computer architecture exploration and modeling to support cross-cutting design issues such as performance, reliability, and security. Yan Solihin is Charles N. Millican Chair Professor of Computer Science at University of Central Florida , Director for Cybersecurity and Privacy Cluster , and an IEEE Fellow. (Charles N. Millican was the founding president of UCF). He obtained B.S. in computer science from Institut Teknologi Bandung in 1995, B.S. in Mathematics from Universitas Terbuka in 1995, M.A.Sc in computer engineering from Nanyang Technological University in 1997, and Ph.D. in computer science from the University of Illinois at Urbana-Champaign (UIUC) in 2002. He is a recipient of 2010 and 2005 IBM Faculty Partnership Award, 2004 NSF Faculty Early Career Award, and 1997 AT&T Leadership Award. He is well known for pioneering cache sharing fairness and Quality of Service (QoS), efficient counter mode memory encryption, and Bonsai Merkle Tree, which have significantly influenced Intel Cache Allocation Technology and Secure Guard eXtension (SGX)'s Memory Encryption Engine (MEE). In recognition, he received IEEE Fellow for contributions to shared cache hierarchies and secure processors in 2017. He is listed in the HPCA Hall of Fame and ISCA Hall of Fame. Prior to joining UCF, from 2002-2018, he was a Professor of Electrical and Computer Engineering at NCSU. He joined as an Assistant Professor in 2002, was promoted early to tenured Associate Professorship in 2007, and was promoted early to Professorship in 2012. From 2015-2018, he was a Program Director at the Division of Computer and Network Systems (CNS) at the National Science Foundation. His responsibilities include managing the Secure and Trustworthy Cyberspace (SaTC), Computer Systems Research (CSR), and Scalability and Parallelism in the eXtreme (SPX). He co-founded the NSF/Intel Partnership on Foundational Microarchitecture Research (FoMR) program. He has published 90+ papers, authored 40+ patents, delivered 70+ invited talks/seminars, including several keynotes and multi-day tutorials. His research received MICRO Best Paper Runner-up Award (2017), IEEE Micro Top Picks (2011), and several Best Paper nominations/finalists (ISPASS 2013, IPDPS 2012, and HPCA 2005). He released several software packages to the public: ACAPP - a cache performance model toolset, HeapServer - a secure heap management library, Scaltool - parallel program scalability pinpointer, and Fodex - a forensic document examination toolset. His research has been covered by the IEEE Spectrum, US News, PC World, HPCWire, Slashdot, and others. He has written two graduate textbooks: Fundamentals of Parallel Multicore Architecture CRC Press, 2015 Fundamentals of Parallel Computer Architecture Solihin Publishing & Consulting, 2009 Additional Links: Yan Solihin's CV ( last updated October 2017 ) LinkedIn profile ResearchGate profile Google Scholar profile Funding. ARPERS activities are/were funded by the following sponsors: Contact: yan (dot) solihin (at) ucf (at) edu Made with the new GoogleSites , an effortless way to create beautifulsites. Report abuse diff --git a/src/data/compiled_bios/3339.txt b/src/data/compiled_bios/3339.txt new file mode 100644 index 0000000000..209c156373 --- /dev/null +++ b/src/data/compiled_bios/3339.txt @@ -0,0 +1 @@ + Ken's Home Page Kenneth O. Stanley Charles Millican Professor in Computer Science University of Central Florida Dept. of Computer Science Evolutionary Complexity Research Group (EPlex) kstanley@eecs.ucf.edu Office: Harris 332 ( Map ) Vita: PDF New Book Now In Print from Springer: Online Interviews on Why Greatness Cannot Be Planned : Santa Fe Radio Cafe (audio from public radio) Report from Santa Fe (video from PBS) News coverage at fivethirtyeight.com: Stop Trying to Be Creative Book review at the Journal of Humanistic Mathematics: Novelty Wins, "Straight Toward Objective" Loses! Interested in experimental games based on cutting-edge AI? Try AIGameResearch.org , the one-stop Internet hub for research-grade AI in games News: Our original journal paper on NEAT (co-authored by Ken Stanley and Risto Miikkulainen), Evolving Neural Networks through Augmenting Topologies ( link ), won the 2017 International Society for Artficial Life (ISAL) Award for Outstanding Paper of the Decade 2002 - 2012 . Interviews and Videos of Invited Talks New: Interview on the O'Reilly Data Show Podcast with Ben Lorica on neuroevolution and Why Greatness Cannot Be Planned Interview with Stephen Ladek on novelty and objectives in aid and social development Ken Stanley's Reddit AMA: Questions Answered from the Public (December 2015) With high-quality audio and sound: Why Greatness Cannot Be Planned: The Myth of the Objective (inspired by our book by the same name) (TTI/Vanguard 2015 Conference on Collaboration and the Workplace of the Future) High Quality on Youtube: When Algorithms Inform Real Life: Novelty Search and the Myth of the Objective (16th Portuguese Conference on Artificial Intelligence Invited Keynote) The Case for Evolution in Engineering Brains (2013 MSU Symposium on New Frontiers in Cognitive, Evolutionary, and Computational Models of the Mind) Discovery Without Objectives (Joint ACM and NICTA-sponsored 2012 talk at RMIT) Searching Without Objectives (SPLASH 2010 Keynote) Users Pages: NEAT Users | HyperNEAT Users | ES-HyperNEAT Users | Novelty Search Users Quick Links: Meeting | Teaching | Research | Software/Source Code | Old Animated Demos | Publications ( journal / conf. ) | Evolutionary Games and Entertainment: Picbreeder | NERO Video Game | Dance Evolution | Galactic Arms Race (GAR) | Petalz Research I am the director of the Evolutionary Complexity (EPlex) Research Group at UCF. Our research focuses on abstracting the essential properties of natural evolution that made it possible to discover astronomically complex structures such as the human brain. Our work is in part an approach to artificial intelligence. I developed a method, called NEAT (NeuroEvolution of Augmenting Topologies) , that begins evolution with a population of very simple networks and complexifies the networks over generations by adding new neurons and connections. We recently developed an extension to NEAT called HyperNEAT that can evolve neural networks with millions of connections and exploit geometric regularities in the task domain. Here is a page on fracture in CPPNs and HyperNEAT . Another new approach that we recently introduced is called novelty search . Unlike most evolutionary algorithms, novelty search has no defined objective; instead it simply searches for novel behaviors. Nevertheless, it finds surprisingly robust solutions, raising questions about fundamental assumptions on why search works. I discuss some of my research interests in several interviews that are available online: This audio interview (9/30/06) conducted by Tom Barbalet for biota.org discusses some of my general interests. In this text interview (12/11/08) with AIGameDev.com, I discuss Galactic Arms Race and my thoughts on automatic content generation for video games through evolution. A TV interview (on G4TV) from February 2010 also discusses GAR. In yet another text interview , I discuss GAR with Game Developer Magazine in April 2010. Before joining UCF, I was a member of the UTCS Neural Networks Research Group . Gunter Bachelier created a gallery of computerized portraits of myself , generated through an evolutionary process, as part of our recognition for winning the Best Paper Award at EvoMUSART 2008 . Gunter added another set here Teaching New: Fall 2015: NeuroEvolution and Generative and Developmental Systems (CAP 6616): Syllabus | Lectures and Assignments Old: Spring 2014: AI for Game Programming (CAP 4053): Syllabus | Lectures and Assignments Previous Courses Taught NEAT and HyperNEAT Users Derek James runs a NEAT Users Group on Yahoo. Please feel free to join to discuss NEAT or HyperNEAT-related issues. If you are a NEAT user, or interested in working with NEAT, please see the NEAT Users Page , which includes a helpful FAQ. New! There is now also a HyperNEAT Users Page Schedule Meeting You can schedule a meeting with me here: Online Meeting Schedule (please follow the instructions there) Note that you must be logged into the EPlex website in order to use this feature. If you see the message, "You are not authorized to view this resource," then you need to log in first and the page will appear. If you do not have a login, please send me an email to schedule a meeting. Evolutionary Games and Entertainment Galactic Arms Race Multiplayer online space combat with evolving weapons. Picbreeder Evolve pictures online. Dance Evolution Train 3D animated characters to dance to any MIDI song using interactive evolution. The NERO Video Game Evolve robots in real time to train for battle. Software / Source Code Visit the comprehensive list of NEAT-related software packages . Animated Demos (from before 2006) Animations of evolved NEAT neural network behavior: Robot Duel, hall navigation, function approximation, NEAT Hopper, and Peons. Demo formats include GIF animations, .avi movies, and a Windows executable. The Evolution of a Spaceship Watch how NEAT neural networks evolved to draw a multi-featured spaceship out of scratch. A fascinating exhibition of complexification and the evolution of form. NEAT-based Genetic Art (CPPN Explorer) Programs and Other CPPN Applications For an introduction to the theory behind Compositional Pattern Producing Networks (CPPNs), which explains how the patterns produced by these programs are possible to evolve, please refer to our paper Exploiting Regularity Without Development . DelphiNEAT-based Genetic Art Tool. Mattias Fagerlund released this tool first, which allows you to explore evolved images generated through NEAT-evolved CPPNs. The interface makes it a great neural network learning tool, and other developers followed suit. SharpNEAT-based Genetic Art Tool . Inspired by the DelphiNEAT Genetic Art tool, Holger Ferstl created this newer genetic art tool with SharpNEAT. It includes some novel schemes for evolving pictures with color. The files are also available with permission from Holger from my local server: Executable (requires .NET 2.0) ; Full Source JCPPN . William Monti created this Java-based CPPN explorer, including the version of NEAT that powers it. It includes HSL color and the ability to input texture files into the CPPN and manipulate them. djNEAT. This program by Wade Spires and Brendon Moore (started as a project in my neuroevolution class) implements interactive evolution of audio effects. It is like the image explorer programs except it produces sounds instead of images. Evolving a 2D Model of an Eye using CPPNs : This document is a Masters Thesis by Anders Storsveen completed at the Norwegian University of Science and Technology Department of Computer and Information Science, under the supervision of Professor Keith Downing. It is interesting because it is a unique application of CPPNs outside the usual domains. Some of the work was completed while Anders visited the Evolutionary Complexity Research Group at UCF in 2008. Selected Publications Journal Conference (For a full list of my publications please see my vita ) Paperback Book Available with Chapter on NEAT This book by Mat Buckland provides a nice overview of NEAT intended for general (i.e. non-academic) audiences: AI Techniques for Game Programming . NEAT is covered in the final chapter and the book comes with source code from Mat. Dissertation Ph.D. Dissertation: EFFICIENT EVOLUTION OF NEURAL NETWORKS THROUGH COMPLEXIFICATION Kenneth O. Stanley Department of Computer Sciences, The University of Texas at Austin Technical Report~AI-TR-04-39, August 2004. Journal Articles Altruists Proliferate Even at a Selective Disadvantage within Their Own Niche Bryan Wilder and Kenneth O. Stanley Dept. of Electrical Engineering and Computer Science, University of Central Florida To appear in: PLOS ONE 10(6): e0128654. doi:10.1371/journal.pone.0128654, 2015. 11 pages in PDF. Reconciling Explanations for the Evolution of Evolvability Bryan Wilder and Kenneth O. Stanley Dept. of Electrical Engineering and Computer Science, University of Central Florida To appear in: Adaptive Behavior journal. London: SAGE, 2015. Manuscript 18 pages. Petalz: Search-based Procedural Content Generation for the Casual Gamer Sebastian Risi, Joel Lehman, David B. D'Ambrosio, Ryan Hall, and Kenneth O. Stanley Dept. of Electrical Engineering and Computer Science, University of Central Florida To appear in: IEEE Transactions on Computational Intelligence and AI in Games . Piscataway, NJ: IEEE, 2015. Manuscript 9 pages. Functional Scaffolding for Composing Additional Musical Voices Amy K. Hoover, Paul A. Szerlip, and Kenneth O. Stanley Dept. of Electrical Engineering and Computer Science, University of Central Florida To appear in: Computer Music Journal . Cambridge, Massachusetts, US: MIT Press, 38:4, 80-99, Winter 2014. Manuscript 19 pages. Investigating Biological Assumptions through Radical Reimplementation Joel Lehman and Kenneth O. Stanley Dept. of Electrical Engineering and Computer Science, University of Central Florida To appear in: Artificial Life journal. Cambridge, MA: MIT Press, 2014. Manuscript 35 pages. Evolvability is Inevitable: Increasing Evolvability Without the Pressure to Adapt Joel Lehman and Kenneth O. Stanley Dept. of Electrical Engineering and Computer Science, University of Central Florida In: PLoS ONE journal 8(4). 2013. (9 pages) Encouraging Reactivity to Create Robust Machines Joel Lehman, Sebastian Risi, David B. D'Ambrosio and Kenneth O. Stanley Dept. of Electrical Engineering and Computer Science, University of Central Florida To appear in: Adaptive Behavior journal. London: SAGE, 2013. Manuscript 31 pages. CPPNs Effectively Encode Fracture: A Response to Critical Factors in the Performance of HyperNEAT Kenneth O. Stanley, Jeff Clune, David B. D'Ambrosio, Colin D. Green, Joel Lehman, Gregory Morse, Justin K. Pugh, Sebastian Risi, and Paul Szerlip Dept. of Electrical Engineering and Computer Science, University of Central Florida University of Central Florida Dept. of EECS Technical Report CS-TR-13-05 (Maunscript 37 pages). Scalable Multiagent Learning through Indirect Encoding of Policy Geometry David B. D'Ambrosio and Kenneth O. Stanley Dept. of Electrical Engineering and Computer Science, University of Central Florida To appear in: Evolutionary Intelligence . New York, NY: Springer-Verlag, 2013. Manuscript 30 pages. From Modulated Hebbian Plasticity to Simple Behavior Learning through Noise and Weight Saturation Andrea Soltoggio and Kenneth O. Stanley Research Institute for Cognition and Robotics . CoR-Lab, Bielefeld, Germany and Dept. of Electrical Engineering and Computer Science, University of Central Florida To appear in: Neural Networks journal, Vol. 34, October 2012, pp. 28.41. New York, NY: Elsevier, 2012. Manuscript 17 pages. An Enhanced Hypercube-Based Encoding for Evolving the Placement, Density and Connectivity of Neurons Sebastian Risi and Kenneth O. Stanley Dept. of Electrical Engineering and Computer Science, University of Central Florida To appear in: Artificial Life journal. Cambridge: MIT Press, 2012. Manuscript 54 pages. Picbreeder: A Case Study in Collaborative Evolutionary Exploration of Design Space Jimmy Secretan, Nicholas Beato, David B. D.Ambrosio, Adelein Rodriguez, Adam Campbell, Jeremiah T. Folsom-Kovarik, and Kenneth O. Stanley Dept. of Electrical Engineering and Computer Science, University of Central Florida To appear in: Evolutionary Computation journal. Cambridge: MIT Press, 2011. Manuscript 33 pages. On the Performance of Indirect Encoding Across the Continuum of Regularity Jeff Clune, Kenneth O. Stanley, Robert T. Pennock, and Charles Ofria Digital Evolution Lab at Michigan State University (Clune, Pennock, and Ofria) and School of Electrical Engineering and Computer Science, University of Central Florida (Stanley) To appear in: IEEE Transactions on Evolutionary Computation journal. New York: IEEE Press, 2011. Manuscript 23 pages. Abandoning Objectives: Evolution Through the Search for Novelty Alone Joel Lehman and Kenneth O. Stanley School of Electrical Engineering and Computer Science, University of Central Florida To appear in: Evolutionary Computation journal. Cambridge, MA: MIT Press, 2011. Manuscript 39 pages. Evolving Plastic Neural Networks with Novelty Search Sebastian Risi, Charles E. Hughes, and Kenneth O. Stanley School of Electrical Engineering and Computer Science, University of Central Florida To appear in: Adaptive Behavior journal 18(6), pages 470-491. London: SAGE, 2010. Manuscript 41 pages. Evolving Static Representations for Task Transfer Phillip Verbancsics and Kenneth O. Stanley School of Electrical Engineering and Computer Science, University of Central Florida In: Journal of Machine Learning Research (JMLR). 11: pages 1737-1769. Brookline, MA: Microtome Publishing, 2010. 33 pages. Autonomous Evolution of Topographic Regularities in Artificial Neural Networks Jason Gauci and Kenneth O. Stanley School of Electrical Engineering and Computer Science, University of Central Florida In: Neural Computation journal 22(7), pages 1860-1898. Cambridge, MA: MIT Press, 2010. Manuscript 38 pages. Automatic Content Generation in the Galactic Arms Race Video Game Erin J. Hastings, Ratan K. Guha, and Kenneth O. Stanley School of Electrical Engineering and Computer Science, University of Central Florida In: IEEE Transactions on Computational Intelligence and AI in Games , volume 4, number 1, New York: IEEE Press, 2009. Manuscript 19 pages Interactive Evolution of Particle Systems for Computer Graphics and Animation Erin J. Hastings, Ratan K. Guha, and Kenneth O. Stanley School of Electrical Engineering and Computer Science, University of Central Florida In: IEEE Transactions on Evolutionary Computation , New York: IEEE Press, 2009. Manuscript 15 pages Exploiting Functional Relationships in Musical Composition Amy K. Hoover and Kenneth O. Stanley School of Electrical Engineering and Computer Science, University of Central Florida In: Connection Science Special Issue on Music, Brain, & Cognition . Abington, UK: Taylor & Francis, 2009. Manuscript 33 pages A Hypercube-Based Encoding for Evolving Large-Scale Neural Networks Kenneth O. Stanley, David B. D'Ambrosio, and Jason Gauci School of Electrical Engineering and Computer Science, University of Central Florida In: Artificial Life journal. Cambridge, MA: MIT Press, 2009. Manuscript 39 pages Picbreeder: Collaborative Interactive Evolution of Images Jimmy Secretan, Nicholas Beato, David B. D'Ambrosio, Adelein Rodriguez, Adam Campbell, and Kenneth O. Stanley School of Electrical Engineering and Computer Science, University of Central Florida In: Leonardo (Transactions Section) 41(1), 2007. 2 pages (This article is a short notice written for the transaction section of the journal) Compositional Pattern Producing Networks: A Novel Abstraction of Development Kenneth O. Stanley School of Electrical Engineering and Computer Science, University of Central Florida In: Genetic Programming and Evolvable Machines Special Issue on Developmental Systems New York, NY: Springer, 2007. 36 pages. REAL-TIME NEUROEVOLUTION IN THE NERO VIDEO GAME Kenneth O. Stanley, Bobby D. Bryant, and Risto Miikkulainen Department of Computer Sciences, The University of Texas at Austin IEEE Transactions on Evolutionary Computation 9(6): 653-668, December 2005. COMPETITIVE COEVOLUTION THROUGH EVOLUTIONARY COMPLEXIFICATION Kenneth O. Stanley and Risto Miikkulainen Department of Computer Sciences, The University of Texas at Austin Journal of Artificial Intelligence Research 21: 63-100, 2004. A TAXONOMY FOR ARTIFICIAL EMBRYOGENY Kenneth O. Stanley and Risto Miikkulainen Department of Computer Sciences, The University of Texas at Austin Artificial Life journal 9(2):93-130, 2003. EVOLVING NEURAL NETWORKS THROUGH AUGMENTING TOPOLOGIES Kenneth O. Stanley and Risto Miikkulainen Department of Computer Sciences, The University of Texas at Austin Evolutionary Computation 10(2):99-127, 2002. ONLINE INTERACTIVE NEURO-EVOLUTION Adrian Agogino(1), Kenneth Stanley(2), and Risto Miikkulainen(2) (1) Dept. of Electrical and Computer Engineering, The University of Texas at Austin (2) Department of Computer Sciences, The University of Texas at Austin Neural Processing Letters 11(1):29-37, 2000. Conference and Symposium Papers Simple Evolutionary Optimization Can Rival Stochastic Gradient Descent in Neural Networks Gregory Morse and Kenneth O. Stanley In: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2016). New York, NY: ACM Press, 2016. 8 pages. Nominated for Best Paper Award in Evolutionary Machine Learning at GECCO-2016 Confronting the Challenge of Quality Diversity Brian G. Woolley and Kenneth O. Stanley In: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2015). New York, NY: ACM Press, 2015. 8 pages. Unsupervised Feature Learning through Divergent Discriminative Feature Accumulation Paul A. Szerlip, Gregory Morse, Justin K. Pugh, and Kenneth O. Stanley In: Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI-2015). Palo Alto, CA: AAAI Press, 2015. 9 pages. Steps Toward a Modular Library for Turning Any Evolutionary Domain into an Online Interactive Platform Paul A. Szerlip and Kenneth O. Stanley In: Proceedings of the Fourteenth International Conference on the Synthesis and Simulation of Living Systems (ALIFE XIV). Cambridge, MA: MIT Press, 2014. 8 pages. Real-time Hebbian Learning from Autoencoder Features for Control Tasks Justin K. Pugh, Andrea Soltoggio, and Kenneth O. Stanley To appear in: Proceedings of the Fourteenth International Conference on the Synthesis and Simulation of Living Systems (ALIFE XIV). Cambridge, MA: MIT Press, 2014. 8 pages. Identifying Necessary Conditions for Open-Ended Evolution through the Artificial Life World of Chromaria L. B. Soros and Kenneth O. Stanley To appear in: Proceedings of the Fourteenth International Conference on the Synthesis and Simulation of Living Systems (ALIFE XIV). Cambridge, MA: MIT Press, 2014. 8 pages. Winner of the Best Poster Award at ALIFE 2014 A Novel Human-Computer Collaboration: Combining Novelty Search with Interactive Evolution Brian G. Woolley and Kenneth O. Stanley To appear in: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2014). New York, NY: ACM Press, 2014. 8 pages. Winner of the Best Paper Award in Artificial Life/Robotics/Evolvable Hardware at GECCO-2014 Directional Communication in Evolved Multiagent Teams Justin K. Pugh, Skyler Goodell, and Kenneth O. Stanley To appear in: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2014). New York, NY: ACM Press, 2014. 8 pages. Guided Self-Organization in Indirectly Encoded and Evolving Topographic Maps Sebastian Risi and Kenneth O. Stanley To appear in: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2014). New York, NY: ACM Press, 2014. 8 pages. Additional Stability for Single-Unit Pattern Generators Gregory Morse, L.B. Soros, and Kenneth O. Stanley In: Workshop on Nature-inspired Techniques for Robotics at the 13th International Conference on Parallel Problem Solving from Nature (PPSN 2014). New York, NY: Springer, 2014. 2 pages. Automatically Categorizing Procedurally Generated Content for Collecting Games Sebastian Risi, Joel Lehman, David B. D'Ambrosio, and Kenneth O. Stanley To appear in: Proceedings of the Workshop on Procedural Content Generation in Games (PCG) at the 9th International Conference on the Foundations of Digital Games (FDG-2014). New York, NY: ACM Press, 2014. 7 pages. Indirectly Encoded Sodarace for Artificial Life Paul A. Szerlip and Kenneth O. Stanley Department of Electrical Engineering and Computer Science, University of Central Florida To appear in: Proceedings of the 12th European Conference on Artificial Life (ECAL-2013, Taormina, Italy). Proceedings of the 12th European Conference on Artificial Life (ECAL-2013, Taormina, Italy). Cambridge, MA: MIT Press, 2013. 8 pages. Implications from Music Generation for Music Appreciation Amy K. Hoover, Paul A. Szerlip, and Kenneth O. Stanley Department of Electrical Engineering and Computer Science, University of Central Florida To appear in: Proceedings of the Fourth International Conference on Computational Creativity (ICCC-2013, Sydney, Australia). 2013. 5 pages. Single-Unit Pattern Generators for Quadruped Locomotion Gregory Morse, Sebastian Risi, Charles R. Snyder, and Kenneth O. Stanley Department of Electrical Engineering and Computer Science, University of Central Florida To appear in: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2013). New York, NY: ACM, 2013. 8 pages. Evolving Multimodal Controllers with HyperNEAT Justin K. Pugh and Kenneth O. Stanley Department of Electrical Engineering and Computer Science, University of Central Florida To appear in: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2013). New York, NY: ACM, 2013. 8 pages. Effective Diversity Maintenance in Deceptive Domains Joel Lehman, Kenneth O. Stanley and Risto Miikkulainen Department of Electrical Engineering and Computer Science, University of Central Florida and Department of Computer Sciences at the University of Texas at Austin To appear in: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2013). New York, NY: ACM, 2013. 8 pages. Confronting the Challenge of Learning a Flexible Neural Controller for a Diversity of Morphologies Sebastian Risi and Kenneth O. Stanley Department of Electrical Engineering and Computer Science, University of Central Florida In: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2013). New York, NY: ACM, 2013. 7 pages. Directional Communication in Evolved Multiagent Teams Justin K. Pugh, Skyler Goodell, and Kenneth O. Stanley Department of Electrical Engineering and Computer Science, University of Central Florida University of Central Florida Dept. of EECS Technical Report CS-TR-13-04. 17. pages. Combining Search-based Procedural Content Generation and Social Gaming in the Petalz Video Game Sebastian Risi, Joel Lehman, David B. D'Ambrosio, Ryan Hall and Kenneth O. Stanley Department of Electrical Engineering and Computer Science, University of Central Florida To appear in: Proceedings of the Artificial Intelligence and Interactive Digital Entertainment Conference (AIIDE 2012). Menlo Park, CA:AAAI, 2012. 6 pages. Multirobot Behavior Synchronization through Direct Neural Network Communication David B. D'Ambrosio, Skyler Goodell, Joel Lehman, Sebastian Risi, and Kenneth O. Stanley Department of Electrical Engineering and Computer Science, University of Central Florida To appear in: Proceedings of the 5th International Conference on Intelligent Robotics and Applications (ICIRA-2012). New York, NY: Springer-Verlang, 2012. 12 pages. A Unified Approach to Evolving Plasticity and Neural Geometry Sebastian Risi and Kenneth O. Stanley Department of Electrical Engineering and Computer Science, University of Central Florida To appear in: Proceedings of the International Joint Conference on Neural Networks (IJCNN 2012). Piscataway, NJ: IEEE, 2012. 8 pages. Winner of the Best Student Paper Award at IJCNN-2012 On the Benefits of Divergent Search for Evolved Representations Joel Lehman and Kenneth O. Stanley Department of Electrical Engineering and Computer Science, University of Central Florida To appear in: Proceedings of EvoNet 2012 Workshop at the Thirteenth International Conference on Artificial Life (ALIFE XIII). 2012. 4 pages. Beyond Open-endedness: Quantifying Impressiveness Joel Lehman and Kenneth O. Stanley Department of Electrical Engineering and Computer Science, University of Central Florida To appear in: Proceedings of the Thirteenth International Conference on Artificial Life (ALIFE XIII). Cambridge, MA: MIT Press, 2012. 8 pages. Rewarding Reactivity to Evolve Robust Controllers without Multiple Trials or Noise Joel Lehman, Sebastian Risi, David B. D'Ambrosio, and Kenneth O. Stanley Department of Electrical Engineering and Computer Science, University of Central Florida To appear in: Proceedings of the Thirteenth International Conference on Artificial Life (ALIFE XIII). Cambridge, MA: MIT Press, 2012. 8 pages. Generating a Complete Multipart Musical Composition from a Single Monophonic Melody with Functional Scaffolding Amy K. Hoover, Paul A. Szerlip, Marie E. Norton, Trevor A. Brindle, Zachary Merritt, and Kenneth O. Stanley Department of Electrical Engineering and Computer Science, University of Central Florida To appear in: Proceedings of the Third International Conference on Computational Creativity (ICCC-2012, Dublin, Ireland). 2012. 8 pages. Task Switching in Multiagent Learning through Indirect Encoding David B. D'Ambrosio, Joel Lehman, Sebastian Risi, and Kenneth O. Stanley Department of Electrical Engineering and Computer Science, University of Central Florida To appear in: Proceedings of the International Conference on Intelligent Robots and Systems (IROS 2011, San Fransisco, CA). Piscataway, NJ: IEEE, 2011. 8 pages. Generating Musical Accompaniment through Functional Scaffolding Amy K. Hoover, Paul A. Szerlip, and Kenneth O. Stanley Department of Electrical Engineering and Computer Science, University of Central Florida To appear in: Proceedings of the 8th Sound and Music Computing Conference (SMC-2011, Padova, Italy). . 8 pages. Enhancing ES-HyperNEAT to Evolve More Complex Regular Neural Networks Sebastian Risi and Kenneth O. Stanley Department of Electrical Engineering and Computer Science, University of Central Florida To appear in: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2011). New York, NY: ACM, 2011. 8 pages. Interactively Evolving Harmonies through Functional Scaffolding Amy K. Hoover, Paul A. Szerlip, and Kenneth O. Stanley Department of Electrical Engineering and Computer Science, University of Central Florida To appear in: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2011). New York, NY: ACM, 2011. 8 pages. Winner of the Best Paper Award in the Digital Entertainment Technologies and Arts Track at GECCO-2011 Evolving a Diversity of Virtual Creatures through Novelty Search with Local Competition Joel Lehman and Kenneth O. Stanley Department of Electrical Engineering and Computer Science, University of Central Florida To appear in: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2011). New York, NY: ACM, 2011. 8 pages. Improving Evolvability through Novelty Search and Self-Adaptation Joel Lehman and Kenneth O. Stanley Department of Electrical Engineering and Computer Science, University of Central Florida To appear in: Proceedings of the 2011 IEEE Congress on Evolutionary Computation (CEC 2011). Piscataway, NJ: IEEE, 2011. 8 pages. Constraining Connectivity to Encourage Modularity in HyperNEAT Phillip Verbancsics and Kenneth O. Stanley Department of Electrical Engineering and Computer Science, University of Central Florida To appear in: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2011). New York, NY: ACM, 2011. 8 pages. On the Deleterious Effects of A Priori Objectives on Evolution and Representation Brian G. Woolley and Kenneth O. Stanley Department of Electrical Engineering and Computer Science, University of Central Florida To appear in: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2011). New York, NY: ACM, 2011. 8 pages. Indirect Encoding of Neural Networks for Scalable Go Jason Gauci and Kenneth O. Stanley School of Electrical Engineering and Computer Science, University of Central Florida To appear in: Proceedings of the 11th International Conference on Parallel Problem Solving From Nature (PPSN-2010). New York, NY: Springer, 2010. 10 pages. Evolving a Single Scalable Controller for an Octopus Arm with a Variable Number of Segments Brian G. Woolley and Kenneth O. Stanley School of Electrical Engineering and Computer Science, University of Central Florida To appear in: Proceedings of the 11th International Conference on Parallel Problem Solving From Nature (PPSN-2010). New York, NY: Springer, 2010. 10 pages. Interactive Genetic Engineering of Evolved Video Game Content Erin J. Hastings and Kenneth O. Stanley School of Electrical Engineering and Computer Science, University of Central Florida To appear in: Proceedings of the Workshop on Procedural Content Generation in Games (PCG) at the 5th International Conference on the Foundations of Digital Games (FDG-2010). New York, NY: ACM, 2010. 4 pages. Indirectly Encoding Neural Plasticity as a Pattern of Local Rules Sebastian Risi and Kenneth O. Stanley School of Electrical Engineering and Computer Science, University of Central Florida To appear in: Proceedings of the 11th International Conference on Simulation of Adaptive Behavior (SAB 2010). New York, NY: Springer, 2010. 11 pages. Revising the Evolutionary Computation Abstraction: Minimal Criteria Novelty Search Joel Lehman and Kenneth O. Stanley School of Electrical Engineering and Computer Science, University of Central Florida To appear in: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2010). New York, NY: ACM, 2010. 8 pages. Efficiently Evolving Programs through the Search for Novelty Joel Lehman and Kenneth O. Stanley School of Electrical Engineering and Computer Science, University of Central Florida To appear in: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2010). New York, NY: ACM, 2010. 8 pages. Evolving the Placement and Density of Neurons in the HyperNEAT Substrate Sebastian Risi, Joel Lehman, and Kenneth O. Stanley School of Electrical Engineering and Computer Science, University of Central Florida To appear in: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2010). New York, NY: ACM, 2010. 8 pages. Winner of the Best Paper Award in the Generative and Developmental Systems track at GECCO-2010 Transfer Learning through Indirect Encoding Phillip Verbancsics and Kenneth O. Stanley School of Electrical Engineering and Computer Science, University of Central Florida To appear in: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2010). New York, NY: ACM, 2010. 8 pages. Nominated for Best Paper Award in the Generative and Developmental Systems track at GECCO-2010 Evolving Policy Geometry for Scalable Multiagent Learning David B. D.Ambrosio, Joel Lehman, Sebastian Risi, and Kenneth O. Stanley School of Electrical Engineering and Computer Science, University of Central Florida To appear in: Proceedings of the Ninth International Conference on Autonomous Agents and Multiagent Systems (AAMAS-2010). 8 pages. Search-based Procedural Content Generation Julian Togelius, Georgios N. Yannakakis, Kenneth O. Stanley, and Cameron Browne To appear in: Proceedings of 2nd European event on Bio-inspired Algorithms in Games (EvoGAMES 2010). New York, NY: Springer, 2010. 10 pages. Learning to Dance through Interactive Evolution Greg Dubbin and Kenneth O. Stanley School of Electrical Engineering and Computer Science, University of Central Florida To appear in: Proceedings of the Eighth European Event on Evolutionary and Biologically Inspired Music, Sound, Art and Design (EvoMUSART 2010). New York, NY: Springer, 2010. 10 pages. Evolving Content in the Galactic Arms Race Video Game Erin Hastings, Ratan Guha, and Kenneth O. Stanley School of Electrical Engineering and Computer Science, University of Central Florida To appear in: Proceedings of the IEEE Symposium on Computational Intelligence and Games (CIG'09). Piscataway, NJ: IEEE, 2009. 8 pages. Winner of the Best Paper Award at 2009 IEEE Symposium on Computational Intelligence and Games Demonstrating Automatic Content Generation in the Galactic Arms Race Video Game Erin Hastings, Ratan Guha, and Kenneth O. Stanley School of Electrical Engineering and Computer Science, University of Central Florida To appear in: Proceedings of the Artificial Intelligence and Interactive Digital Entertainment Conference Demonstration Program (AIIDE.09). Menlo Park, CA:AAAI, 2009. 2 pages. Note: This paper is a short 2-page synopsis that accompanied a live demonstration booth. See other GAR papers for more complete treatments. How Novelty Search Escapes the Deceptive Trap of Learning to Learn Sebastian Risi, Sandy D. Vanderbleek, Charles E. Hughes and Kenneth O. Stanley School of Electrical Engineering and Computer Science, University of Central Florida To appear in: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2009). New York, NY: ACM, 2009. 8 pages. Winner of the Best Paper Award in the Artificial Life, Evolutionary Robotics, Adaptive Behavior, Evolvable Hardware Track at GECCO-2009 Exploiting Open-Endedness to Solve Problems Through the Search for Novelty Joel Lehman and Kenneth O. Stanley School of Electrical Engineering and Computer Science, University of Central Florida To appear in: Proceedings of the Eleventh International Conference on Artificial Life (ALIFE XI). Cambridge MA: MIT Press, 2008. 8 pages. Generative Encoding for Multiagent Learning David B. D'Ambrosio and Kenneth O. Stanley School of Electrical Engineering and Computer Science, University of Central Florida To appear in: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2008). New York, NY: ACM, 2008. 8 pages. Accompanied by videos of evolved multiagent behavior. Winner of the Best Paper Award in Generative and Developmental Systems at GECCO 2008 A Case Study on the Critical Role of Geometric Regularity in Machine Learning Jason J. Gauci and Kenneth O. Stanley School of Electrical Engineering and Computer Science, University of Central Florida To appear in: Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence (AAAI-2008) . Menlo Park, CA: AAAI Press, 2008 (6 pages) Picbreeder: Evolving Pictures Collaboratively Online Jimmy Secretan, Nicholas Beato, David B. D'Ambrosio, Adelein Rodriguez, Adam Campbell and Kenneth O. Stanley School of Electrical Engineering and Computer Science, University of Central Florida To appear in: Proceedings of Computer Human Interaction Conference (CHI 2008). New York, NY: ACM, 2008 (10 pages) Scaffolding for Interactively Evolving Novel Drum Tracks for Existing Songs Amy K. Hoover, Michael P. Rosario, and Kenneth O. Stanley School of Electrical Engineering and Computer Science, University of Central Florida In: Proceedings of the Sixth European Workshop on Evolutionary and Biologically Inspired Music, Sound, Art and Design (EvoMUSART 2008). New York, NY: Springer, 2008. 10 pages. Winner of the Best Paper Award at EvoMUSART 2008 Generating Large-Scale Neural Networks Through Discovering Geometric Regularities Jason J. Gauci and Kenneth O. Stanley School of Electrical Engineering and Computer Science, University of Central Florida To appear in: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2007). New York, NY: ACM, 2007. 8 pages. A Novel Generative Encoding for Exploiting Neural Network Sensor and Output Geometry David B. D'Ambrosio and Kenneth O. Stanley School of Electrical Engineering and Computer Science, University of Central Florida To appear in: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2007). New York, NY: ACM, 2007. 8 pages. Nominated for Best Paper Award in the Generative and Developmental Systems track at GECCO-2007 NEAT Particles: Design, Representation, and Animation of Particle System Effects Erin Hastings, Ratan Guha, and Kenneth O. Stanley School of Electrical Engineering and Computer Science, University of Central Florida To appear in: Proceedings of the IEEE Symposium on Computational Intelligence and Games (CIG'07). Piscataway, NJ: IEEE, 2007. 7 pages. Exploiting Regularity Without Development Kenneth O. Stanley School of Electrical Engineering and Computer Science, University of Central Florida To appear in: Proceedings of the AAAI Fall Symposium on Developmental Systems. Meno Park, CA: AAAI Press, 2006. 8 pages. EVOLVING NEURAL NETWORK AGENTS IN THE NERO VIDEO GAME Kenneth O. Stanley, Bobby D. Bryant, and Risto Miikkulainen Department of Computer Sciences, The University of Texas at Austin Proceedings of the IEEE 2005 Symposium on Computational Intelligence and Games (CIG'05) . Piscataway, NJ: IEEE, 2005. Winner of the Best Paper Award at CIG'05 RETAINING LEARNED BEHAVIOR DURING REAL-TIME NEUROEVOLUTION Thomas D'Silva, Roy Janik, Michael Chrien, Kenneth O. Stanley, and Risto Miikkulainen Department of Computer Sciences, The University of Texas at Austin In: Proceedings of the Artificial Intelligence and Interactive Digital Entertainment Conference (AIIDE 2005) . REAL-TIME LEARNING IN THE NERO VIDEO GAME Kenneth O. Stanley, Ryan Cornelius, Risto Miikkulainen, Thomas D'Silva, and Aliza Gold Department of Computer Sciences, The University of Texas at Austin In: Proceedings of the Artificial Intelligence and Interactive Digital Entertainment Conference Demonstration Program (AIIDE 2005) . Note: This paper is a short synopsis that accompanied a live demonstration booth NEUROEVOLUTION OF AN AUTOMOBILE CRASH WARNING SYSTEM Kenneth O. Stanley, Nate Kohl, Rini Sherony, and Risto Miikkulainen Department of Computer Sciences, The University of Texas at Austin In: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2005) . AUTOMATIC FEATURE SELECTION IN NEUROEVOLUTION Shimon Whiteson, Peter Stone, Kenneth O. Stanley, Risto Miikkulainenn and Nate Kohl Department of Computer Sciences, The University of Texas at Austin In: Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2005) . TOWARDS AN EMPIRICAL MEASURE OF EVOLVABILITY Joseph Reisinger, Kenneth O. Stanley, and Risto Miikkulainenn Department of Computer Sciences, The University of Texas at Austin In: Proceedings of the Genetic and Evolutionary Computation Conference Workshop Program (GECCO-2005) . EVOLVING A ROVING EYE FOR GO Kenneth O. Stanley and Risto Miikkulainen Department of Computer Sciences, The University of Texas at Austin Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2004) . New York, NY: Springer-Verlag, 2004. EXPLOITING MORPHOLOGICAL CONVENTIONS FOR GENETIC REUSE Kenneth O. Stanley, Joseph Reisinger, and Risto Miikkulainen Department of Computer Sciences, The University of Texas at Austin Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2004) Workshop Program . New York, NY: Springer-Verlag, 2004 GECCO Workshop on Modularity, Regularity, and Hierarchy in Evolutionary Computation EVOLVING REUSABLE NEURAL MODULES Joseph Reisinger, Kenneth O. Stanley, and Risto Miikkulainen Department of Computer Sciences, The University of Texas at Austin Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2004) . New York, NY: Springer-Verlag, 2004. AUTOMATIC FEATURE SELECTION IN NEUROEVOLUTION (older workshop version) Shimon Whiteson, Kenneth O. Stanley, and Risto Miikkulainen Department of Computer Sciences, The University of Texas at Austin Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2004) Workshop Program . New York, NY: Springer-Verlag, 2004 GECCO Workshop on Self-organization in Representations for Evolutionary Algorithms EVOLVING ADAPTIVE NEURAL NETWORKS WITH AND WITHOUT ADAPTIVE SYNAPSES Kenneth O. Stanley, Bobby D. Bryant, and Risto Miikkulainen Department of Computer Sciences, The University of Texas at Austin Proceedings of the 2003 IEEE Congress on Evolutionary Computation (CEC-2003) . Canberra, Australia: IEEE Press, 2003. ACHIEVING HIGH-LEVEL FUNCTIONALITY THROUGH COMPLEXIFICATION Kenneth O. Stanley and Risto Miikkulainen Department of Computer Sciences, The University of Texas at Austin Proceedings of the AAAI-2003 Spring Symposium on Computational Synthesis . Stanford, CA: AAAI Press, 2003. EFFICIENT REINFORCEMENT LEARNING THROUGH EVOLVING NEURAL NETWORK TOPOLOGIES Kenneth O. Stanley and Risto Miikkulainen Department of Computer Sciences, The University of Texas at Austin Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2002) . San Francisco, CA: Morgan Kaufmann, 2002. Winner of the Best Paper Award in Genetic Algorithms CONTINUAL COEVOLUTION THROUGH COMPLEXIFICATION Kenneth O. Stanley and Risto Miikkulainen Department of Computer Sciences, The University of Texas at Austin Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2002) . San Francisco, CA: Morgan Kaufmann, 2002. THE DOMINANCE TOURNAMENT METHOD FOR MONITORING PROGRESS IN COEVOLUTION Kenneth O. Stanley and Risto Miikkulainen Department of Computer Sciences, The University of Texas at Austin Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-2002) Workshop Program . San Francisco, CA: Morgan Kaufmann, 2002. Analysis of Coevolution Workshop Link EFFICIENT EVOLUTION OF NEURAL NETWORK TOPOLOGIES Kenneth O. Stanley and Risto Miikkulainen Department of Computer Sciences, The University of Texas at Austin Proceedings of the 2002 Congress on Evolutionary Computation (CEC '02). Piscataway, NJ: IEEE, 2002. Off-topic The following tech report describes an algorithm for tracking concept drift that is unrelated to NEAT and my usual research: LEARNING CONCEPT DRIFT WITH A COMMITTEE OF DECISION TREES Kenneth O. Stanley Department of Computer Sciences, The University of Texas at Austin Technical Report AI-03-302, September 2003. Contact me here: kstanley@cs.ucf.edu . diff --git a/src/data/compiled_bios/334.txt b/src/data/compiled_bios/334.txt new file mode 100644 index 0000000000..da1d509453 --- /dev/null +++ b/src/data/compiled_bios/334.txt @@ -0,0 +1 @@ +Name: Cole, John:: Position: Senior Lecturer:: Degrees: M.S., Illinois Institute of Technology, Chicago, IL; diff --git a/src/data/compiled_bios/3340.txt b/src/data/compiled_bios/3340.txt new file mode 100644 index 0000000000..a1abe8812a --- /dev/null +++ b/src/data/compiled_bios/3340.txt @@ -0,0 +1 @@ + Gita Reese Sukthankar http://www.eecs.ucf.edu/~gitars Gita Reese Sukthankar Associate Professor University of Central Florida :: EECS :: 232 HEC :: gitars at eecs.ucf.edu :: 407-823-4305 or 407-536-8425 Research Publications Thesis CAP6938 CAP6671 EGN3060C Research I direct the Intelligent Agents Lab at UCF. My research is in the area of activity and plan recognition; my Ph.D. thesis was on multi-agent plan recognition and focused on the problem of recognizing tactical team plans from spatio-temporal traces of military teams in urban settings. I am lead editor of a book ( Plan, Activity, and Intent Recognition: Theory and Practice ) on this topic. My work on activity recognition has focused primarily on the following domains: adversarial games assistive technologies human-robot interactions cooperation in multi-agent systems software support for human teams My area of expertise is AI and machine learning, primarily in the context of multi-agent and multi-robot systems. For a synopsis of my group's work, please check out my talk on Data-driven Social Informatics . To find out about me and other women STEM faculty at UCF, check out this interview . I was also interviewed for an overview on AI by the Florida High Tech magazine. Graduate research applicants to my group should have prior experience in one of the following areas: multi-agent systems, machine learning, probabilistic graphical models, social media analysis, games/simulations, or robotics. Awards and Recognitions St. George's School John B. Diman Alumni Award (2017) IFAAMAS Board of Directors (2016-2022) DARPA ISAT Study Group (2015-2018) UCF Reach for the Stars (2015) ACM Senior Member (2013) UCF Research Incentive Award (2013) CECS Dean's Research Professorship Award (2013) UCF Faculty Excellence for Doctoral Mentoring (Engineering and Sciences) (2012) IEEE Senior Member (2012) CECS Distinguished Researcher (2011) Charles N. Millican Faculty Fellow (2010, 2012) NSF CAREER (2009) DARPA Computer Science Study Group (2009) AFOSR Young Investigator (2009) ONR Summer Faculty Fellow (2008) Teaching Fall 2007: Plan, Activity and Intent Recognition ( CAP6938 ) Spring 2008: Intelligent Systems ( CAP6671 ) Fall 2008: Introduction to Robotics ( EGN 3060C ) Spring 2009: Intelligent Systems ( CAP6671 ) Fall 2009: Introduction to Robotics ( EGN 3060C ) Spring 2010: Intelligent Systems ( CAP6671 ) Fall 2010: Introduction to Robotics ( EGN 3060C ) Spring 2011: Intelligent Systems ( CAP6671 ) Fall 2011: Introduction to Robotics ( EGN 3060C ) Spring 2012: Intelligent Systems ( CAP6671 ) Fall 2012: Introduction to Robotics ( EGN 3060C ) Spring 2014: Intelligent Systems ( CAP6671 ) Fall 2014: Introduction to Robotics (EGN 4060C) Spring 2015: Intelligent Systems (CAP6671) Spring 2015: Robotic Systems (EEL 4660) Fall 2016: Robotic Systems (EEL 4660) Spring 2017: Intelligent Systems ( CAP6671 ) Spring 2017: Introduction to Robotics (EGN 4060C) Fall 2017: Robotic Systems (EEL 4660) Spring 2018: Introduction to Robotics (EGN 4060C) Spring 2018: Intelligent Systems (CAP 6671) Fall 2018: Robotic Systems (EEL 4660) Fall 2018: Machine Learning (CAP 5610) Spring 2019: Introduction to Robotics (EGN 4060C) Spring 2019: Intelligent Systems (CAP 6671) Office Hours (Spring 2019) MW 5:30-7:00pm Service Program Committee, International Conference for Autonomous Agents and Multi-agent Systems ( AAMAS 2007 ) Program Committee, AAAI Workshop on Plan, Activity, and Intent Recognition ( PAIR 2007 ) Organizing Committee, Opportunities for Undergraduate Research in Computer Science ( OURCS 2007 ) Program Committee, International Conference for Autonomous Agents and Multi-agent Systems, Special Multi-Robot Track ( AAMAS 2008 ) Program Committee, AI Video Competition (2008, 2009, 2010, 2011) Program Committee, Conference on Foundation for Digital Games ( FDG 2009 ) Publication Chair, Pacific Rim International Conference on Multi-Agents ( PRIMA 2009 ) Co-Organizer, IJCAI 2009 Workshop on Plan, Activity, and Intent Recognition Program Committee, 2009 IEEE/ACM International Conference on Intelligent Agent Technology ( IAT 2009 ) Doctoral Mentoring Co-Chair, International Conference on Autonomous Agents and Multi-agent Systems ( AAMAS 2010 ) Program Committee, Florida AI Research Society (FLAIRS 2010, 2011 , 2012 ) Program Committee, IEEE Computational Intelligence in Games ( CIG 2010 ) Program Committee, Conference on Foundations of Digital Games ( FDG 2010 ) Program Committee, IAT 2010 ) Co-Organizer, AAAI 2010 Workshop on Plan, Activity, and Intent Recognition Co-Organizer, AAAI Fall Symposium on Proactive Assistant Agents, PAA 2010 Associate Editor, International Conference on Intelligent Robots and Systems ( IROS 2010 ) Program Committee, International Conference on Autonomous Agents and Multi-agent Systems ( AAMAS 2011 ) Program Committee, ICAPS 2011 Workshop on Goal, Activity, and Plan Recognition Program Committee, International Joint Conference on AI ( IJCAI 2011 ) Program Committee, AI and Interactive Entertainment ( AIIDE 2011 ) Co-Organizer, AAAI 2011 Workshop on Plan, Activity, and Intent Recognition Program Committee, 2011 IEEE/ACM International Conference on Intelligent Agent Technology ( IAT 2011 ) Program Committee, 2011 International Joint Conference on Ambient Intelligence ( AMI 2011 ) Co-chair and Chair, AAAI Symposia Series (2012-2017) Program Committee, International Conference for Autonomous Agents and Multi-agent Systems ( AAMAS 2012 ) Program Committee, Conference on Artificial Intelligence ( AAAI 2012 ) Program Committee, ASE/IEEE International Conference of Social Computing ( SocialCom 2012 ) Program Committee, 15th International Conference on Principles and Practice of Multi-Agent Systems ( PRIMA 2012 ) Program Committee, IEEE/ACM International Conference on Intelligent Agent Technology ( IAT 2012 ) Program Committee, ASE/IEEE International Conference on Social Informatics ( Social Informatics 2012 ) Program Committee, IEEE Conference on Computational Intelligence in Games ( CIG 2012 ) Program Committee, Ubicomp 2012 Workshop on Situation, Activity, and Goal Awareness ( SAGAware2012 ) Program Chair, AAAI Conference on AI and Interactive Digital Entertainment ( AIIDE 2012 ) Senior Program Committee, Conference on Artificial Intelligence ( AAAI 2013 ) Program Committee, International Conference for Autonomous Agents and Multi-agent Systems (Main and Demo Tracks) ( AAMAS 2013 ) Organizing Committee, AAMAS Workshop on Multiagent Interaction Networks ( MAIN 2013 ) Program Committee, ASE International Conference on Social Computing ( SocialCom 2013 ) Organizing Committee, AAAI Workshop on Plan, Activity, and Intent Recognition ( PAIR 2013 ) General Chair, AAAI Conference on AI and Interactive Digital Entertainment ( AIIDE 2013 ) Senior Program Committee, International Conference for Autonomous Agents and Multi-agent Systems (Robotics Track) ( AAMAS 2014 ) Program Committee, International Conference on Intelligent User Interfaces ( IUI2014 ) Senior Program Committee, International Conference on the Foundations of Digital Games ( FDG 2014 ) Area Chair, International Conference on Social-Cultural Modeling and Behavior Prediction ( SBP 2014 ) Organizing committee, AAMAS Workshop on Agents, Virtual Societies, and Analytics Senior Program Committee, National Conference on Artificial Intelligence ( AAAI 2014 ) Student Scholarship Chair and Senior Program Committee, International Conference on Autonomous Agents and Multi-agent Systems ( AAMAS 2015 ) Senior Program Committee, International Joint Conference on Artificial Intelligence ( IJCAI 2015 ) Associate Editor, IEEE/RSJ International Conference on Intelligent Robots and Systems ( IROS 2015 ) Doctoral Mentoring Co-Chair, International Conference on Autonomous Agents and Multiagent Systems ( AAMAS 2016 ) Workshop Co-Chair International Joint Conference on Artificial Intelligence ( IJCAI 2016 ) Program Committee, AAAI Conference on Artificial Intelligence ( AAAI 2016 ) Program Committee, International Conference on Autonomous Agents and Multi-agent Systems ( AAMAS 2016 ) Workshop Co-Chair, International Conference on Autonomous Agents and Multiagent Systems ( AAMAS 2017 ) Program Committee, AAAI Conference on Artificial Intelligence ( AAAI 2017 ) Senior Program Committee, International Joint Conference on Artificial Intelligence ( IJCAI 2017 ) Program Committee, AAAI Senior Member Presentation Track ( AAAI 2018 ) Program Chair, International Conference on Autonomous Agents and Multi-agent Systems ( AAMAS 2018 ) Program Committee, AAAI Conference on Artificial Intelligence ( AAAI 2019 ) Program Committee, AAAI Workshop on Plan, Activity, and Intent Recognition ( PAIR 2019 ) Senior Program Committee, International Conference on Autonomous Agents and Multiagent Systems ( AAMAS 2019 ) Senior Program Committee, International Joint Conference on Artificial Intelligence ( IJCAI 2019 ) General Chair, International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2020) Reviewer, Journal of Autonomous Agents and Multi-Agent Systems ( JAAMAS ) Biography I joined the faculty of computer science at University of Central Florida, Orlando in fall 2007. I received my Ph.D. from the Robotics Institute at Carnegie Mellon, an M.S. in Robotics from Carnegie Mellon, and an A.B. in psychology from Princeton University. Between my masters and Ph.D., I worked as a researcher at Compaq Research/HP Labs (CRL) in the handheld computing group. Outside of work, I practice martial arts and have a shodan (1st degree black belt) in Shotokan Karate . I also have an advanced PADI diver certification and have recently completed my 200th dive. My husband (and diving buddy), Dr. Rahul Sukthankar , is a researcher in computer vision at Google Research. Contact Dr. Gita Sukthankar University of Central Florida Department of EECS (CS) Mail: 4000 Central Florida Blvd Orlando, FL, 32816-2362 Physical: 4328 Scorpius St. Orlando, FL, 32816-2362 Tel: 407-823-4305 Dept Fax: 407-823-5835 Email: gitars at eecs.ucf.edu Last updated on 9/2015 by Gita Sukthankar Photo by Michael A. Shubbuck Web page design adapted from Open Source Web Design diff --git a/src/data/compiled_bios/3341.txt b/src/data/compiled_bios/3341.txt new file mode 100644 index 0000000000..15d78763fd --- /dev/null +++ b/src/data/compiled_bios/3341.txt @@ -0,0 +1 @@ + Sean Szumlanski /home/seansz/public_html Sean Szumlanski is a Lecturer in the Department of Computer Science at the University of Central Florida. He is a Xoogler and an alumnus of UCF's Artificial Intelligence Lab, having earned his Ph.D. under the advisement of Fernando Gomez, . Sean's research interests include knowledge-based approaches to natural language understanding, computational aspects of the (automated) acquisition of lexical semantic knowledge, semantic memory, and the function of human memory. SGN: A Semantic Network of Related Concepts The subject of my doctoral dissertation was the automatic acquisition of a semantic network of related concepts. The semantic network produced by my research is publicly available . Rel-122 Relatedness Norms As part of my dissertation, I also established a new set of relatedness norms for 122 pairs of English-language nouns. The dataset, Rel-122, is publicly available for download . See also: list of publications 2010-2013 Sean Szumlanski . The artwork on this page is derived from works by Courtney Martin , which are modified and used here with permission. diff --git a/src/data/compiled_bios/3342.txt b/src/data/compiled_bios/3342.txt new file mode 100644 index 0000000000..12bc195298 --- /dev/null +++ b/src/data/compiled_bios/3342.txt @@ -0,0 +1 @@ + Sharma Thankachan, Ph.D. Assistant Professor University of Central Florida Dept. of Computer Science 207 Harris Corporation Engineering Center 4000 Central Florida Blvd., Orlando, FL 32816 Email: sharma(dot)thankachan(at)ucf(dot)edu Phone: 407-823-5316 I have organized the String Algorithms in Bioinformatics Workshop (StringBio) , 2018 at UCF Campus (click here for details) BioSketch: I am currently an Assistant Professor in the department of computer science at University of Central Florida. Before joining UCF, I have worked as a Research Scientist/PostDoc in the School of Computational Science and Engineering , Georgia Institute o f Technology , Atlanta with Prof. Srinivas Aluru and in the Cheriton School of Computer Science , University of Waterloo, Canada with Prof. J. Ian Munro . My Ph.D. is in Computer Science from Louisiana State University (Spring 2014), supervised by Prof. Rahul Shah . My Bachelor degree is in EEE from National Institute of Technology Calicut , India. Research: I work in the areas of String Algorithms and Bioinformatics, Succinct/Compressed Data Structures and High Performance Computing . My research is supported in part by the US National Science Foundation (NSF) under CCF-1703489 and startup funds from UCF. Selected Publications: The complete list of my publications can be found in DBLP or Google Scholar . Sharma V. Thankachan , Chaitanya Aluru,Sriram P. Chockalingam, Srinivas Aluru: Algorithmic Framework for Approximate Matching Under Bounded Edits with Applications to Sequence Analysis. 22nd Annual International Conference in Research in Computational Molecular Biology ( RECOMB ), 2018 [link] . Arnab Ganguly, Rahul Shah, and Sharma V. Thankachan: pBWT: Achieving Succinct Data Structures for Parameterized Pattern Matching, and Related Problems. 28th ACM-SIAM Symposium on Discrete Algorithms ( SODA ), 2017 [pdf] . Sriram P. Chockalingam, Sharma V. Thankachan, Srinivas Aluru: A parallel algorithm for finding all pairs k-mismatch maximal common substrings. International Conference for High Performance Computing, Networking, Storage and Analysis ( Super Computing, SC ), 2016 [link] . Srinivas Aluru, Alberto Apostolico, Sharma V. Thankachan: Efficient Alignment Free Sequence Comparison with Bounded Mismatches. 19th Annual International Conference in Research in Computational Molecular Biology ( RECOMB ), 2015 [link] . Wing-Kai Hon, Rahul Shah, Sharma V. Thankachan, Jeffrey Scott Vitter: Space-Efficient Frameworks for Top-k String Retrieval. Journal of the ACM ( JACM ), 61(2), 2014 [pdf] . Teaching COT 5405 : Design and Analysis of Algorithms (Spring 2019) COP 3503 : Computer Science II (Fall 2018) COT 6410 : Computational Complexity (Spring 2017, Spring 2018) Program Committee The 9th RECOMB Satellite Workshop on Massively Parallel Sequencing (RECOMB-SEQ), 2019. The 30th Annual Symposium on Combinatorial Pattern Matching (CPM), 2019. IEEE International Workshop on High Performance Computational Biology (HiCOMB), 2018, 2017 and 2016. IEEE International Conference on High Performance Computing, Data, and Analytics (HiPC), 2018 and 2017. International Symposium on String Processing and Information Retrieval (SPIRE), 2018. International Conference on Computational Advances in Bio and Medical Sciences (ICCABS), 2018 and 2017. ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (BCB), 2017. IEEE International Workshop on Foundations of Big Data Computing (BigDF), 2016. Annual Symposium on Combinatorial Pattern Matching (CPM), 2016. Current Students Paniz Abedin (PhD Student, Fall 2016 - Present) Justin Barry(PhD Student, Fall 2017 - Present) Dr. Gireesh Elakkat, MD(PhD Student, Fall 2018 - Present) Daniel Gibney(PhD Student, Fall 2018 - Present) Sahar Hooshmand (PhD Student, Spring 2017 - Present) Jodh Pannu(PhD Student, Spring 2018 - Present) Kripalakshmi Babu Venkateswaran (MS Student, Fall 2018 - Present) Gary Hoppenworth (Undergraduate Researcher) Shauna Hyppolite (Undergraduate Researcher) Tiger Sachse (Undergraduate Researcher) diff --git a/src/data/compiled_bios/3343.txt b/src/data/compiled_bios/3343.txt new file mode 100644 index 0000000000..ea2c206536 --- /dev/null +++ b/src/data/compiled_bios/3343.txt @@ -0,0 +1 @@ + Liqiang Wang Homepage Toggle navigation HOME C.V. TEACHING STUDENTS PROJECTS All Projects Parallel LSQR in Seismic Tomography Enhanced Symbolic Analysis of Concurrency Errors in OpenMP Programs PUBLICATIONS All Ph.D. Thesis Journal Publications Conference and Workshop Publications Other Publications Liqiang Wang Associate Professor, Graduate Coordinator Department of Computer Science University of Central Florida Orlando, FL 32816 HEC 437E Tel: (407) 823-3187 Fax: (407) 823-5835 E-mail: lwang AT cs.ucf.edu Latest News 11/2018: Three papers from our group have been accepted by AAAI 2019 with an acceptance rate of 16.2%! 10/2018: Our paper "A Reinforcement Learning Based Resource Management Approach for Time-critical Workloads in Distributed Computing Environment" (Z. Liu, H. Zhang, B. Rao, L. Wang) was accepted by IEEE Bigdata 2018 (with an acceptance rate of 18.9%)! 08/2018: Our paper "Anomaly Detection from Big Data System Logs Using Convolutional Neural Network" (S. Lu, X. Wei, Y. Li, L. Wang) was awarded a Best Paper Award! 08/2018: A grant from NSF title "Towards End-to-End Resource Optimization for Time-Critical Comput-ing Using Reinforcement Learning and Program Analysis" has been awarded! 07/2018: Our paper "How Local is the Local Diversity? Reinforcing Sequential Determinantal Point Processes with Dynamic Ground Sets for Supervised Video Summarization" (Y. Li, L. Wang, T. Yang, B. Gong) has been accepted to ECCV 2018! Short Bio Liqiang (Eric) Wang is an associate professor in the Department of Computer Science at the University of Central Florida . He is the director of Big Data Computing Lab. He was a faculty member (2006-2015) in the Department of Computer Science at the University of Wyoming . He received Ph.D. in Computer Science from Stony Brook University in 2006. He was a visiting Research Scientist in IBM T.J. Watson Research Center during 2012-2013. His research focuses on integrating deep learning, parallel computing, and program analysis, which includes the following aspects: (1) improving the robustness, accuracy, speed, and scalability of deep learning; (2) optimizing performance, scalability, resilience, and resource management of big data processing, especially on Cloud, GPU, and multicore platforms; (3) using hybrid program analysis to detect and avoid programming errors, execution anomaly, as well as performance defects in large-scale parallel computing systems. He received NSF CAREER Award in 2011 and Castagne Faculty Fellowship (2013-2015). Read My C.V Research Hightlight Enabling Multi-Pipeline Data Transfer in HDFS A Geographic Information System (GIS) on Hadoop Analyzing OpenMP programs for Concurrency Errors Accurate GPU Performance Model for Sparse Matrix A Scalable Parallel LSQR Algorithm for Solving Large-Scale Linear System Program Analysis for Atomicity Violations diff --git a/src/data/compiled_bios/3344.txt b/src/data/compiled_bios/3344.txt new file mode 100644 index 0000000000..2d472466f4 --- /dev/null +++ b/src/data/compiled_bios/3344.txt @@ -0,0 +1 @@ + R. Paul Wiegand R.PaulWiegand Home Academics Misc.Interests About Me: I work for the Institute for Simulation and Training at the University of Central Florida , and I hold a secondary joint appointment with the Department of Electrical Engineering and Computer Science" . My area of interest is in developing empirical research and theory for understanding coadaptive learning algorithms for multiagent systems. In particular, in my dissertation I focused on using evolutionary game theory as a tool for understanding the dynamics of compositional (cooperative) coevolutionary algorithms. Recent Activities I teach CAP 5610 (Machine Learning) for the CS graduate program and DIG 5876 (Quantitative Aspects of Modeling & Simulation) for the Modeling and Simulation Program here at UCF I help manage the STOKES Advanced Research Computing Center I help organize Go Orlando , a local AGA chapter Annie Wu and I are gradually working to merge our two labs, the NCCS lab and the EC lab , here at UCF Publications, etc. My research My publications My dissertation My CV (PDF file) A Page on Tesseract! Last updated 22.May.2014 diff --git a/src/data/compiled_bios/3345.txt b/src/data/compiled_bios/3345.txt new file mode 100644 index 0000000000..af452a3cef --- /dev/null +++ b/src/data/compiled_bios/3345.txt @@ -0,0 +1 @@ + Pawel Wocjan Short Bio Selected Publications Research Funding Teaching GitHub Pawel M. Wocjan Ph.D. in Computer Science (November 2003), Karlsruhe Institute of Technology M.S. in Computer Science (January 1999), Karlsruhe Institute of Technology Associate Professor (August 2011 - present) Department of Computer Science University of Central Florida Visiting Associate Professor (June 2012 - June 2013) Center for Theoretical Physics and Department of Mathematics Massachusetts Institute of Technology Assistant Professor (August 2006 - August 2011) Department of Electrical Engineering and Computer Science University of Central Florida Postdoctoral Scholar (September 2004 to August 2006) Institute for Quantum Information California Institute of Technology Research Assistant (February 1999 to August 2004) Institute for Algorithms and Cognitive Systems Karlsruhe Institute of Technology diff --git a/src/data/compiled_bios/3346.txt b/src/data/compiled_bios/3346.txt new file mode 100644 index 0000000000..7afaf884a3 --- /dev/null +++ b/src/data/compiled_bios/3346.txt @@ -0,0 +1 @@ + Annie S. Wu Annie S. Wu Associate Professor University of Central Florida Computer Science P. O. Box 162362 Orlando, FL 32816-2362 407-823-5922 407-823-5835 (Fax) aswu at cs . ucf . edu Director of the UCF Evolutionary Computation Laboratory Joint faculty member in the UCF Department of Electrical and Computer Engineering Affiliated faculty member in the UCF Institute for Simulation and Training Publications diff --git a/src/data/compiled_bios/3347.txt b/src/data/compiled_bios/3347.txt new file mode 100644 index 0000000000..e3a5059140 --- /dev/null +++ b/src/data/compiled_bios/3347.txt @@ -0,0 +1 @@ + Shibu Yooseph Shibu Yooseph's home page Profile Research Publications Contact Shibu Yooseph, Ph.D. Professor of Computer Science at the University of Central Florida Genomics and Bioinformatics Cluster Lead Secondary Joint Appointment in the Burnett School of Biomedical Sciences Office: Biological Sciences Building 133A Email: SHIBU dot YOOSEPH at UCF dot EDU Education Ph.D., Computer and Information Science, University of Pennsylvania, 1997 B.Tech., Computer Science and Engineering, Indian Institute of Technology, Banaras Hindu University, 1992 Previous Appointments Human Longevity Inc. (2014-2016) Senior Director of Bioinformatics / Microbiome Lead J. Craig Venter Institute (2003-2016) Professor of Informatics (2014-2016) Director of Informatics, San Diego (2009-2011) Associate Professor of Informatics (2009-2013) Senior Computational Scientist (2003-2008) Celera Genomics (2000-2003) Computer Scientist University of Southern California (1998-2000) Research Associate DIMACS, Rutgers University (1997-1998) Postdoctoral Fellow Lucent Technologies, Bell Labs (1997-1998) Consultant Research areas Algorithm design and combinatorial optimization Genomics, Computational Biology, and Bioinformatics Metagenomics Sequence Assembly Homology Detection Phylogenetics Biomarker Discovery Clustering and Ordination Functional Genomics Microbiome research Host-microbiome associations and mechanisms in the context of health and disease Microbial diversity in different environments including water, air, and human Analysis and integration of -omics data Publications ( >24000 Citations) Torralba M.G., J.S. Franks, A. Gomez, S. Yooseph, K.E. Nelson, and D.J. Grimes, Effect of Macondo Prospect 252 Oil on Microbiota Associated with Pelagic Sargassum in the Northern Gulf of Mexico. Microb Ecol, 2017. 73(1): p. 91-100. REF Zhong, C., Y. Yang, and S. Yooseph, GRASPx: efficient homolog-search of short peptide metagenome database through simultaneous alignment and assembly. BMC Bioinformatics, 2016. 17 Suppl 8: p. 283. REF Zhong, C., A. Edlund, Y. Yang, J.S. McLean, and S. Yooseph, Metagenome and Metatranscriptome Analyses Using Protein Family Profiles. PLoS Comput Biol, 2016. 12(7): p. e1004991. REF Rajagopala, S.V., S. Yooseph, D.M. Harkins, K.J. Moncera, K.B. Zabokrtsky, M.G. Torralba, A. Tovchigrechko, S.K. Highlander, R. Pieper, L. Sender, et al., Gastrointestinal microbial populations can distinguish pediatric and adolescent Acute Lymphoblastic Leukemia (ALL) at the time of disease diagnosis. BMC Genomics, 2016. 17(1): p. 635. REF Rosas-Salazar C., M.H. Shilts, A. Tovchigrechko, S. Schobel, J.D. Chappell, E.K. Larkin, J. Shankar, S. Yooseph, K.E. Nelson, R.A. Halpin, et al., Differences in the Nasopharyngeal Microbiome During Acute Respiratory Tract Infection With Human Rhinovirus and Respiratory Syncytial Virus in Infancy. J Infect Dis, 2016. 214(12): p. 1924-1928. REF Kent, A.G., C.L. Dupont, S. Yooseph, and A.C. Martiny, Global biogeography of Prochlorococcus genome diversity in the surface ocean. ISME J, 2016. REF Diez, B., J.A. Nylander, K. Ininbergs, C.L. Dupont, A.E. Allen, S. Yooseph, D.B. Rusch, and B. Bergman, Metagenomic Analysis of the Indian Ocean Picocyanobacterial Community: Structure, Potential Function and Evolution. PLoS One, 2016. 11(5): p. e0155757. REF Celepli N., J. Sundh, M. Ekman, C.L. Dupont, S. Yooseph, B. Bergman, and K. Ininbergs, Meta-omic analyses of Baltic Sea cyanobacteria: diversity, community structure and salt acclimation. Environ Microbiol, 2016. REF Brindefalk, B., M. Ekman, K. Ininbergs, C.L. Dupont, S. Yooseph, J. Pinhassi, and B. Bergman, Distribution and expression of microbial rhodopsins in the Baltic Sea and adjacent waters. Environ Microbiol, 2016 REF Anderson, E.L., W. Li, N. Klitgord, S.K. Highlander, M. Dayrit, V. Seguritan, S. Yooseph, W. Biggs, J.C. Venter, K.E. Nelson, et al., A robust ambient temperature collection and stabilization strategy: Enabling worldwide functional studies of the human microbiome. Sci Rep, 2016. 6: p. 31731. REF Abeles, S.R., M.B. Jones, T.M. Santiago-Rodriguez, M. Ly, N. Klitgord, S. Yooseph, K.E. Nelson, and D.T. Pride, Microbial diversity in individuals and their household contacts following typical antibiotic courses. Microbiome, 2016. 4(1): p. 39. REF Zhong, C., Y. Yang, and S. Yooseph. GRASPx: Efficient Homolog-Search of Short-Peptide Metagenome Database through Simultaneous Alignment and Assembly . in 11th International Symposium on Bioinformatics Research and Applications . 2015. Norfolk, VA. Zhong, C., Y. Yang, and S. Yooseph, GRASP: Guided Reference-based Assembly of Short Peptides. Nucleic Acids Res, 2015. 43(3): p. e18. REF Yooseph, S., E.F. Kirkness, T.M. Tran, D.M. Harkins, M.B. Jones, M.G. Torralba, E. O'Connell, T.B. Nutman, S. Doumbo, O.K. Doumbo, et al., Stool microbiota composition is associated with the prospective risk of Plasmodium falciparum infection. BMC Genomics, 2015. 16(1): p. 631. REF Yang, Y., C. Zhong, and S. Yooseph, SFA-SPA: a suffix array based short peptide assembler for metagenomic data. Bioinformatics, 2015 REF Llorens-Mares, T., S. Yooseph, J. Goll, J. Hoffman, M. Vila-Costa, C.M. Borrego, C.L. Dupont, and E.O. Casamayor, Connecting biodiversity and potential functional role in modern euxinic environments by microbial metagenomics. ISME J, 2015 REF Jones, M.B., S.K. Highlander, E.L. Anderson, W. Li, M. Dayrit, N. Klitgord, M.M. Fabani, V. Seguritan, J. Green, D.T. Pride, et al., Library preparation methodology can influence genomic and functional predictions in human microbiome research. Proc Natl Acad Sci U S A, 2015. 112(45): p. 14024-9. REF Inskeep, W.P., Z.J. Jay, R.E. Macur, S. Clingenpeel, A. Tenney, D. Lovalvo, J.P. Beam, M.A. Kozubal, W.C. Shanks, L.A. Morgan, et al., Geomicrobiology of sublacustrine thermal vents in Yellowstone Lake: geochemical controls on microbial community structure and function. Front Microbiol, 2015. 6: p. 1044. REF He, X., J.S. McLean, A. Edlund, S. Yooseph, A.P. Hall, S.Y. Liu, P.C. Dorrestein, E. Esquenazi, R.C. Hunter, G. Cheng, et al., Cultivation of a human-associated TM7 phylotype reveals a reduced genome and epibiotic parasitic lifestyle. Proc Natl Acad Sci U S A, 2015. 112(1): p. 244-9. REF Edlund, A., Y. Yang, S. Yooseph, A.P. Hall, D.D. Nguyen, P.C. Dorrestein, K.E. Nelson, X. He, R. Lux, W. Shi, et al., Meta-omics uncover temporal regulation of pathways across oral microbiome genera during in vitro sugar metabolism. ISME J, 2015 REF Zarrinpar, A., A. Chaix, S. Yooseph, and S. Panda, Diet and feeding pattern affect the diurnal dynamics of the gut microbiome. Cell Metab, 2014. 20(6): p. 1006-17. REF Ma, Y., R. Madupu, U. Karaoz, C.W. Nossa, L. Yang, S. Yooseph, P.S. Yachimski, E.L. Brodie, K.E. Nelson, and Z. Pei, Human papillomavirus community in healthy persons, defined by metagenomics analysis of human microbiome project shotgun sequencing data sets. J Virol, 2014. 88(9): p. 4786-97. REF Larsson, J., N. Celepli, K. Ininbergs, C.L. Dupont, S. Yooseph, B. Bergman, and M. Ekman, Picocyanobacteria containing a novel pigment gene cluster dominate the brackish water Baltic Sea. ISME J, 2014. 8(9): p. 1892-903. REF Dupont, C.L., J. Larsson, S. Yooseph, K. Ininbergs, J. Goll, J. Asplund-Samuelsson, J.P. McCrow, N. Celepli, L.Z. Allen, M. Ekman, et al., Functional tradeoffs underpin salinity-driven divergence in microbial community composition. PLoS One, 2014. 9(2): p. e89549. REF Yooseph, S., C. Andrews-Pfannkoch, A. Tenney, J. McQuaid, S. Williamson, M. Thiagarajan, D. Brami, L. Zeigler-Allen, J. Hoffman, J.B. Goll, et al., A metagenomic framework for the study of airborne microbial communities. PLoS One, 2013. 8(12): p. e81862. REF Yang, Y. and S. Yooseph, SPA: a short peptide assembler for metagenomic data. Nucleic acids research, 2013 REF Wu, S., W. Li, L. Smarr, K. Nelson, S. Yooseph, and M. Torralba, Large memory high performance computing enables comparison across human gut microbiome of patients with autoimmune diseases and healthy subjects , in Proceedings of the Conference on Extreme Science and Engineering Discovery Environment: Gateway to Discovery . 2013, ACM: San Diego, California. p. 1-6. Tran, S., B. Nicolau, T. Huang, K. Ka, A. Hsu, K.Q. Nguyen, R. Khosravi, K.E. Nelson, and S. Yooseph, Obesity and Periodontal Disease , in Encyclopedia of Metagenomics , K.E. Nelson, Editor. 2013, SpringerReference: Springer-Verlag Berlin Heidelberg. Nealson, K.H. and S. Yooseph, Microbial diversity of the oceanic surface picoplankton: insights from the Global Ocean Sampling (GOS) program . 2nd ed. Encyclopedia of Biodiversity, ed. S.A. Levin. 2013. McLean, J.S., M.J. Lombardo, J.H. Badger, A. Edlund, M. Novotny, J. Yee-Greenbaum, N. Vyahhi, A.P. Hall, Y. Yang, C.L. Dupont, et al., Candidate phylum TM6 genome recovered from a hospital sink biofilm provides genomic insights into this uncultivated phylum. Proc Natl Acad Sci U S A, 2013. 110(26): p. E2390-9. REF Edlund, A., Y. Yang, A.P. Hall, L. Guo, R. Lux, X. He, K.E. Nelson, K.H. Nealson, S. Yooseph, W. Shi, et al., An in vitro biofilm model system maintaining a highly reproducible species and metabolic diversity approaching that of the human oral microbiome. Microbiome, 2013. 1(1): p. 25. REF Brim, H., S. Yooseph, E.G. Zoetendal, E. Lee, M. Torralba, A.O. Laiyemo, B. Shokrani, K. Nelson, and H. Ashktorab, Microbiome Analysis of Stool Samples from African Americans with Colon Polyps. PLoS One, 2013. 8(12): p. e81352. Williamson, S.J. and S. Yooseph, From bacterial to microbial ecosystems (metagenomics). Methods in molecular biology, 2012. 804: p. 35-55. REF Williamson, S.J., L.Z. Allen, H.A. Lorenzi, D.W. Fadrosh, D. Brami, M. Thiagarajan, J.P. McCrow, A. Tovchigrechko, S. Yooseph, and J.C. Venter, Metagenomic Exploration of Viruses throughout the Indian Ocean. PLoS One, 2012. 7(10): p. e42047. REF Ward, D.V., D. Gevers, G. Giannoukos, A.M. Earl, B.A. Methe, E. Sodergren, M. Feldgarden, D.M. Ciulla, D. Tabbaa, C. Arze, et al., Evaluation of 16S rDNA-Based Community Profiling for Human Microbiome Research. PLoS One, 2012. 7(6). REF Sedghizadeh, P.P., S. Yooseph, D.W. Fadrosh, L. Zeigler-Allen, M. Thiagarajan, H. Salek, F. Farahnik, and S.J. Williamson, Metagenomic investigation of microbes and viruses in patients with jaw osteonecrosis associated with bisphosphonate therapy. Oral surgery, oral medicine, oral pathology and oral radiology, 2012. 114(6): p. 764-70. REF Paralanov, V., J. Lu, L.B. Duffy, D.M. Crabb, S. Shrivastava, B.A. Methe, J. Inman, S. Yooseph, L. Xiao, G.H. Cassell, et al., Comparative genome analysis of 19 Ureaplasma urealyticum and Ureaplasma parvum strains. BMC microbiology, 2012. 12(1): p. 88. REF Methe, B.A., K.E. Nelson, M. Pop, H.H. Creasy, M.G. Giglio, C. Huttenhower, D. Gevers, J.F. Petrosino, S. Abubucker, J.H. Badger, et al., A framework for human microbiome research. Nature, 2012. 486(7402): p. 215-221. REF Li, K., M. Bihan, S. Yooseph, and B.A. Methe, Analyses of the Microbial Diversity across the Human Microbiome. PLoS One, 2012. 7(6): p. e32118. REF Huttenhower, C., D. Gevers, R. Knight, S. Abubucker, J.H. Badger, A.T. Chinwalla, H.H. Creasy, A.M. Earl, M.G. FitzGerald, R.S. Fulton, et al., Structure, function and diversity of the healthy human microbiome. Nature, 2012. 486(7402): p. 207-214. REF Goll, J., M. Thiagarajan, S. Abubucker, C. Huttenhower, S. Yooseph, and B.A. Methe, A Case Study for Large-Scale Human Microbiome Analysis Using JCVI's Metagenomics Reports (METAREP). PLoS One, 2012. 7(6): p. e29044. REF Wu, D., M. Wu, A. Halpern, D.B. Rusch, S. Yooseph, M. Frazier, J.C. Venter, and J.A. Eisen, Stalking the fourth domain in metagenomic data: searching for, discovering, and interpreting novel, deep branches in marker gene phylogenetic trees. PLoS One, 2011. 6(3): p. e18011. REF Eloe, E.A., D.W. Fadrosh, M. Novotny, L. Zeigler Allen, M. Kim, M.J. Lombardo, J. Yee-Greenbaum, S. Yooseph, E.E. Allen, R. Lasken, et al., Going deeper: metagenome of a hadopelagic microbial community. PLoS One, 2011. 6(5): p. e20388. REF Dupont, C.L., D.B. Rusch, S. Yooseph, M.J. Lombardo, R. Alexander Richter, R. Valas, M. Novotny, J. Yee-Greenbaum, J.D. Selengut, D.H. Haft, et al., Genomic insights to SAR86, an abundant and uncultivated marine bacterial lineage. The ISME journal, 2011 REF Yooseph, S., K.H. Nealson, D.B. Rusch, J.P. McCrow, C.L. Dupont, M. Kim, J. Johnson, R. Montgomery, S. Ferriera, K. Beeson, et al., Genomic and functional adaptation in surface ocean planktonic prokaryotes. Nature, 2010. 468(7320): p. 60-6. REF Yang, L., W. Oberdorf, E. Gerz, T. Parsons, P. Shah, S. Bedi, C. Nossa, S. Brown, Y. Chen, M. Liu, et al., Foregut microbiome in development of esophageal adenocarcinoma. Available from Nature Precedings, 2010. REF Xiao, L., J.I. Glass, V. Paralanov, S. Yooseph, G.H. Cassell, L.B. Duffy, and K.B. Waites, Detection and characterization of human Ureaplasma species and serovars by real-time PCR. J Clin Microbiol, 2010. 48(8): p. 2715-23. REF Tian, Y., X. He, M. Torralba, S. Yooseph, K.E. Nelson, R. Lux, J.S. McLean, G. Yu, and W. Shi, Using DGGE profiling to develop a novel culture medium suitable for oral microbial communities. Molecular Oral Microbiology, 2010. 25(5): p. 357-367. Tanenbaum, D., J. Goll, S. Murphy, P. Kumar, N. Zafar, M. Thiagarajan, R. Madupu, T. Davidsen, L. Kagan, S. Kravitz, et al., The JCVI Standard Operating Procedure for Annotating Prokaryotic Metagenomic Shotgun Sequencing Data. Standards in Genomic Sciences, 2010. 2(2). Roske, K., M.F. Foecking, S. Yooseph, J.I. Glass, M.J. Calcutt, and K.S. Wise, A versatile palindromic amphipathic repeat coding sequence horizontally distributed among diverse bacterial and eucaryotic microbes. BMC Genomics, 2010. 11: p. 430. REF Li, K., E. Venter, S. Yooseph, T.B. Stockwell, L.D. Eckerle, M.R. Denison, D.J. Spiro, and B.A. Methe, ANDES: Statistical tools for the ANalyses of DEep Sequencing. BMC Res Notes, 2010. 3: p. 199. REF Goll, J., D. Rusch, D.M. Tanenbaum, M. Thiagarajan, K. Li, B.A. Methe, and S. Yooseph, METAREP: JCVI Metagenomics Reports - an open source tool for high-performance comparative metagenomics. Bioinformatics, 2010 REF Denroche, R., R. Madupu, S. Yooseph, G. Sutton, and H. Shatkay, Toward computer-assisted text curation: classification is easy (choosing training data can be hard...) , in Proceedings of the 2009 workshop of the BioLink Special Interest Group, international conference on Linking Literature, Information, and Knowledge for Biology . 2010, Springer-Verlag: Stockholm. p. 33-42. Maroti, G., Y. Tong, S. Yooseph, H. Baden-Tillson, H.O. Smith, K.L. Kovacs, M. Frazier, J.C. Venter, and Q. Xu, Discovery of [NiFe] hydrogenase genes in metagenomic DNA: cloning and heterologous expression in Thiocapsa roseopersicina. Appl Environ Microbiol, 2009. 75(18): p. 5821-30. REF Yooseph, S., W. Li, and G. Sutton, Gene identification and protein classification in microbial metagenomic sequence data via incremental clustering. BMC Bioinformatics, 2008. 9: p. 182. REF Williamson, S.J., D.B. Rusch, S. Yooseph, A.L. Halpern, K.B. Heidelberg, J.I. Glass, C. Andrews-Pfannkoch, D. Fadrosh, C.S. Miller, G. Sutton, et al., The Sorcerer II Global Ocean Sampling Expedition: Metagenomic Characterization of Viruses within Aquatic Microbial Samples. PLoS ONE, 2008. 3(1): p. e1456. REF Yooseph, S., G. Sutton, D.B. Rusch, A.L. Halpern, S.J. Williamson, K. Remington, J.A. Eisen, K.B. Heidelberg, G. Manning, W. Li, et al., The Sorcerer II Global Ocean Sampling expedition: expanding the universe of protein families. PLoS Biol, 2007. 5(3): p. e16. REF Sharon, I., S. Tzahor, S. Williamson, M. Shmoish, D. Man-Aharonovich, D.B. Rusch, S. Yooseph, G. Zeidner, S.S. Golden, S.R. Mackey, et al., Viral photosynthetic reaction center genes and transcripts in the marine environment. Isme J, 2007. 1(6): p. 492-501. REF Rusch, D.B., A.L. Halpern, G. Sutton, K.B. Heidelberg, S. Williamson, S. Yooseph, D. Wu, J.A. Eisen, J.M. Hoffman, K. Remington, et al., The Sorcerer II Global Ocean Sampling expedition: northwest Atlantic through eastern tropical Pacific. PLoS Biol, 2007. 5(3): p. e77. REF Kannan, N., J. Wu, G.S. Anand, S. Yooseph, A.F. Neuwald, J.C. Venter, and S.S. Taylor, Evolution of allostery in the cyclic nucleotide binding module. Genome Biol, 2007. 8(12): p. R264. REF Glass, J.I., N. Assad-Garcia, N. Alperovich, S. Yooseph, M.R. Lewis, M. Maruf, C.A. Hutchison, 3rd, H.O. Smith, and J.C. Venter, Essential genes of a minimal bacterium. Proc Natl Acad Sci U S A, 2006. 103(2): p. 425-30. REF Shatkay, H., J. Miller, C. Mobarry, M. Flanigan, S. Yooseph, and G. Sutton, ThurGood: evaluating assembly-to-assembly mapping. J Comput Biol, 2004. 11(5): p. 800-11. REF Istrail, S., G.G. Sutton, L. Florea, A.L. Halpern, C.M. Mobarry, R. Lippert, B. Walenz, H. Shatkay, I. Dew, J.R. Miller, et al., Whole-genome shotgun assembly and comparison of human genome assemblies. Proc Natl Acad Sci U S A, 2004. 101(7): p. 1916-21. REF Halldorsson, B.V., V. Bafna, N. Edwards, R. Lippert, S. Yooseph, and S. Istrail, A survey of computational methods for determining haplotypes. Computational Methods for Snps and Haplotype Inference, 2004. 2983: p. 26-47. Bafna, V., D. Gusfield, S. Hannenhalli, and S. Yooseph, A note on efficient computation of haplotypes via perfect phylogeny. J Comput Biol, 2004. 11(5): p. 858-66. REF Halldorsson, B.V., V. Bafna, N. Edwards, R. Lippert, S. Yooseph, and S. Istrail, Combinatorial problems arising in SNP and haplotype analysis. Discrete Mathematics and Theoretical Computer Science, Proceedings, 2003. 2731: p. 26-47. Bafna, V., D. Gusfield, G. Lancia, and S. Yooseph, Haplotyping as perfect phylogeny: a direct approach. J Comput Biol, 2003. 10(3-4): p. 323-40. REF Tang, M., M. Waterman, and S. Yooseph, Zinc finger gene clusters and tandem gene duplication. J Comput Biol, 2002. 9(2): p. 429-46. REF Mural, R.J., M.D. Adams, E.W. Myers, H.O. Smith, G.L. Miklos, R. Wides, A. Halpern, P.W. Li, G.G. Sutton, J. Nadeau, et al., A comparison of whole-genome shotgun-derived mouse chromosome 16 and the human genome. Science, 2002. 296(5573): p. 1661-71. REF Bartal, Y., M. Farach-Colton, S. Yooseph, and L. Zhang, Fast, fair and frugal bandwidth allocation in ATM networks. Algorithmica, 2002. 33(3): p. 272-286. Venter, J.C., M.D. Adams, E.W. Myers, P.W. Li, R.J. Mural, G.G. Sutton, H.O. Smith, M. Yandell, C.A. Evans, R.A. Holt, et al., The sequence of the human genome. Science, 2001. 291(5507): p. 1304-51. REF Turner, R.J., K. Chaturvedi, N.J. Edwards, D. Fasulo, A.L. Halpern, D.H. Huson, O. Kohlbacher, J.R. Miller, K. Reinert, K.A. Remington, et al. Visualization challenges for a new cyberpharmaceutical computing paradigm . in IEEE symposium on parallel and large-data visualization and graphics . 2001. San Diego, California. Tang, M., M. Waterman, and S. Yooseph, Zinc finger gene clusters and tandem gene duplication , in Proceedings of the fifth annual international conference on Computational biology . 2001, ACM: Montreal, Quebec, Canada. p. 297-304. Huson, D., S. Nettles, K. Rice, T. Warnow, and S. Yooseph, Hybrid Tree Reconstruction Methods. ACM Journal of Experimental Algorithmics, 1999. 4. Heyer, L.J., S. Kruglyak, and S. Yooseph, Exploring expression data: identification and analysis of coexpressed genes. Genome Res, 1999. 9(11): p. 1106-15. REF Bonet, M., C. Phillips, T. Warnow, and S. Yooseph, Constructing evolutionary trees in the presence of polymorphic characters. Siam Journal on Computing, 1999. 29(1): p. 103-131. Bartal, Y., M. Farach-Colton, S. Yooseph, and L. Zhang, Fast, fair, and frugal bandwidth allocation in ATM networks , in Proceedings of the tenth annual ACM-SIAM symposium on Discrete algorithms . 1999, Society for Industrial and Applied Mathematics: Baltimore, Maryland, USA. p. 92-101. Rajasekaran, S. and S. Yooseph, TAL recognition in O(M(n^2)) time. Journal of Computer and System Sciences, 1998. 56(1): p. 83-89. Kannan, S., T. Warnow, and S. Yooseph, Computing the local consensus of trees. Siam Journal on Computing, 1998. 27(6): p. 1695-1724. Huson, D., S. Nettles, L. Parida, T. Warnow, and S. Yooseph. The Disk-Covering Method for Tree Reconstruction . in Algorithms and Experiments (ALEX) . 1998. Trento, Italy. Bonet, M., M. Steel, T. Warnow, and S. Yooseph, Better methods for solving parsimony and compatibility. J Comput Biol, 1998. 5(3): p. 391-407. REF Rajasekaran, S., W. Chen, and S. Yooseph, Unifying themes for selection on any network. Journal of Parallel and Distributed Computing, 1997. 46(1): p. 105-111. Bonet, M., C. Phillips, T. Warnow, and S. Yooseph, Inferring Evolutionary Trees from Polymorphic Characters, and an Analysis of the Indo-European Family of Languages. DIMACS Series in Discrete Mathematics and Theoretical Computer Science, 1997. 37. Bonet, M., C. Phillips, T.J. Warnow, and S. Yooseph, Constructing evolutionary trees in the presence of polymorphic characters , in Proceedings of the twenty-eighth annual ACM symposium on Theory of computing . 1996, ACM: Philadelphia, Pennsylvania, USA. p. 220-229. Rajasekaran, S. and S. Yooseph, TAL recognition in O(M(n^2)) time , in Proceedings of the 33rd annual meeting on Association for Computational Linguistics . 1995, Association for Computational Linguistics: Cambridge, Massachusetts. p. 166-173. Kannan, S., T. Warnow, and S. Yooseph, Computing the local consensus of trees , in Proceedings of the sixth annual ACM-SIAM symposium on Discrete algorithms . 1995, Society for Industrial and Applied Mathematics: San Francisco, California, USA. p. 68-77. Rajasekaran, S., W. Chen, and S. Yooseph, Unifying Themes for Network Selection , in Proceedings of the 5th International Symposium on Algorithms and Computation . 1994, Springer-Verlag. p. 92-100. Office: Biological Sciences Building 133A Mailing Address: College of Engineering and Computer Science Harris Engineering P.O. Box 162362 University of Central Florida Orlando, FL 32816 Email: SHIBU dot YOOSEPH at UCF dot EDU Telephone: 407-823-5307 diff --git a/src/data/compiled_bios/3348.txt b/src/data/compiled_bios/3348.txt new file mode 100644 index 0000000000..98aa2e4833 --- /dev/null +++ b/src/data/compiled_bios/3348.txt @@ -0,0 +1 @@ + Murat Yuksel Associate Professor of ECE, CS, CREOL @UCF Murat Yuksel Associate Professor of ECE, CS, CREOL @UCF Research Group Funding Publications Teaching Service Biography CV Contact Meta-Networking Blog Latest News My research interests are in networked, wireless, and computer systems with a recent focus on optical wireless, spectrum sharing, device-to-device systems, cloud networking, network architectures and economics, network management and simulation. My older work, with occasional current activity, has included wireless routing, multicast, and peer-to-peer and overlays, and network science . I direct Networking and Wireless Systems Lab (NWSL) at UCF. My research group was part of the Computer Networking Lab (CNL) , for which I was the Founding Director. Our work spans both theoretical and experimental aspects of computer and networked systems research. I am a strong believer in inter-disciplinary research and much of our work has been collaborative with experts from fields other than networking like economics, math, management/policy sciences, and physics. Here is a list of some of our current projects: Modeling and Development of Resilient Communication for First Responders in Disaster Management (w/ UC Riverside, UIC, and Rutgers) US Ignite: Rapid and Resilient Critical Data Sourcing for Public Safety and Emergency Response (w/ VCU) Multi-Element Illuminication for Mobile Free-Space-Optical Networks (w/ FIU, NCSU) Pervasive Spectrum Sharing for Public Safety Communications (w/ NCSU and VTech) OMEGA: Online Management, Experimentation, and GAme of Large-Scale Networks Some of the earlier projects include the followings: FSO-MANETs: Free-Space-Optical Mobile Ad-hoc Networks (w/ RPI) Contract-Switching: Value Flows and Risk Management Architecture for Future Internet (w/ RPI) PIM Reconfiguration in Backbone Video Networks (w/ AT&T Labs) Value of Class-of-Service (CoS) Support in the Internet Backbone (w/ AT&T Labs) DTONs: Towards Disconnection Tolerant, Opportunistic Internet (w/ RPI) Number of visitors since December 2003 : .. Latest News Paper accepted to IEEE ICBC19. Paper accepted to IEEE Systems. Paper accepted to IEEE ICC19 Selected as a Distinguished TPC Member of IEEE INFOCOM19 My new website is up! diff --git a/src/data/compiled_bios/3349.txt b/src/data/compiled_bios/3349.txt new file mode 100644 index 0000000000..cc5b86c5c7 --- /dev/null +++ b/src/data/compiled_bios/3349.txt @@ -0,0 +1 @@ + Shaojie Zhang's Homepage Shaojie Zhang Associate Professor Department of Computer Science University of Central Florida Office : HEC 311 (building 116) Office Hours (Spring 2019) : by appointments Phone : (407) 823-6095 Fax : (407) 823-5835 E-mail : shzhang(at)cs.ucf.edu My research group : Computational Biology and Bioinformatics Group Mailing Address: Department of Computer Science University of Central Florida 4000 Central Florida Blvd Orlando, FL 32816-2362 Educational Background : Ph.D., Computer Science, University of California, San Diego, 2007 (Advisor: Vineet Bafna ) M.Eng., Information Engineering, Nanyang Technological University, 2001 B.S., Computer Science, Peking University, 1997 Research Interests : Computational Biology and Bioinformatics, particularly: RNA structural motifs Non-coding RNA discovery and RNA genomics Comparative and computational genomics Biological sequence analysis Molecular and genomes evolution Computatiinal genetics Metagenomics Computational transcriptomics and epigenetics Combinatorial algorithms and approximation algorithms Bioinformatics Tools Developed : Software Packages Teaching: Fall 2007: CAP5510 Introduction to Bioinformatics Spring 2008: CAP6938 Special Topic on Computational Genomics Fall 2008: CAP6938 Special Topic on Algorithms in Computational Molecular Biology Spring 2009: CAP6938 Computational Genomics Fall 2009: CAP6938 Algorithms in Computational Molecular Biology Fall 2009: COT3100C Introduction to Discrete Structures ( Webcourses@UCF ) Spring 2010: CAP6938 Computational Genomics (Spring 2010) Fall 2010: CAP6938 Algorithms in Computational Molecular Biology (Fall 2010) Fall 2010: COT3100C Introduction to Discrete Structures ( Webcourses@UCF ) Spring 2011: CAP6938 Computational Genomics Summer 2011: COT3100C Introduction to Discrete Structures ( Webcourses@UCF ) Fall 2011: CAP6515 Algorithms in Computational Biology Fall 2011: COT3100C Introduction to Discrete Structures ( Webcourses@UCF ) Spring 2012: CAP6517 Computational Genomics Summer 2012: COT3100C Introduction to Discrete Structures ( Webcourses@UCF ) Fall 2012: CAP6515 Algorithms in Computational Biology ( Webcourses@UCF ) Fall 2012: COT3100C Introduction to Discrete Structures ( Webcourses@UCF ) Spring 2013: COT5405 Design and Analysis of Algorithms ( Webcourses2@UCF ) Fall 2013: CAP6515 Algorithm in Computational Biology ( Webcourses@UCF ) Spring 2014: CAP6517 Computational Genomics ( Webcourses@UCF ) Fall 2014: CAP6515 Algorithm in Computational Biology ( Webcourses@UCF ) Fall 2014: COT3100C Introduction to Discrete Structures ( Webcourses@UCF ) Fall 2015: CAP6515 Algorithm in Computational Biology ( Webcourses@UCF ) Spring 2016: CAP6517 Computational Genomics ( Webcourses@UCF ) Fall 2016: CAP6515 Algorithm in Computational Biology ( Webcourses@UCF ) Spring 2017: CAP6517 Computational Genomics ( Webcourses@UCF ) Fall 2017: COT3100H Introduction to Discrete Structures ( Webcourses@UCF ) Fall 2017: CAP6515 Algorithm in Computational Biology ( Webcourses@UCF ) Spring 2018: CAP6517 Computational Genomics ( Webcourses@UCF ) (M/W 3-4:15pm, ENG1-383) Students: Current Students: Shahidul Islam (Ph.D. student) Erwin Holzhauser (Ph.D. student) Xiaoli Chen (Ph.D. student) Mahfuzur Rahaman (Ph.D. student) Kecong Tang (Ph.D. student) Jason Portillo (Undergradute student) John Hacker (Undergradute student) Graduated Ph.D. Students: Yuan Li (2007-2012), Ph.D. 2012, Final Defence: Summer 2012, Dissertation Title: "Computational Methods For Analyzing RNA Folding Landscapes And Its Applications", From October 2012 Engineer II, Algorithms. at Pacific BioSciences Cuncong Zhong (2007-2013), Ph.D. 2013, Final Defense: Summer 2013, Dissertation Title: "Computational methods for comparative non-coding RNA analysis: from structural motif identification to genome-wide functional classification" ( 2013-14 College Outstanding Dissertation Award ), From September 2013 Post Doctoral Fellow at the J. Craig Venter Institute , Now an Assistant Professor at the Universtiy of Kansas. Ping Ge (2012-2016), Ph.D. 2016, Final Defense: Spring 2016, Dissertation Title: "Computational Methods for Comparative Non-coding RNA Analysis: from Secondary Structures to Tertiary Structures"; First Job: Scientist at Advanced Cell Diagnostics . Gene Sher (2013-2017), Ph.D. 2017 (Co-Chair: Damian Dechev), Final Defense: Summer 2017, Dissertation Title: "Data Representation in Machine Learning Methods with its Application to Compilation Optimization and Epitope Prediction"; First Job: SMART Fellowship. Travis Meade (2014-2017), Ph.D. 2017 (Co-Chair: Yier Jin), Final Defense: Fall 2017, Dissertation Title: "Novel Computational Methods for Integrated Circuit Reverse Engineering"; First Job: UCF, Lecture. Ardalan Naseri (2013-2018), Ph.D. 2018, Final Defense: Fall 2018, Dissertation Title: "Analysis of large-scale population genetic data using efficient algorithms and data structures"; First Job: UTHealth, Postdoc/Scientist Graduated M.S. Students: Dan DeBlasio (2007-2010), M.S. 2009 by Thesis, Master's Thesis Title: "New Computational Approaches to Multiple RNA Alignment and RNA Search", Now at the University of Arizona Computer Science Ph.D. Program Matt Finch (M.S. 2010 by Courses) Erik Ladewig (M.S. 2010 by Courses, Now in Columbia University's Computational Biology Ph.D. Program) Albert Steppi (M.S. 2013 by Courses, Now at Florida State University Biostatistics Ph.D. Program) Joshua Burbridge (M.S. 2015 by Thesis, Master's Thesis Title: "Finding Consensus Energy Folding Landscapes Between RNA Sequences", now at the University of Arkansas Computer Science Ph.D. Program) Brook Stacy (M.S. 2017 by Courses, Research Assistant Oct 2014 - Aug 2015, Aug 2016 - May 2017, Starting Fall 2017 join in the University of Maryland College Park Computer Science Ph.D. Program) Michael Kirsche M.S. 2016 by Courses, Research Assitant Aug 2016 - May 2017, Starting Fall 2017 join in Johns Hopkins Universtiy Computer Science Ph.D. Program) Graduated B.S. Students: Peter Tonner (Undergraduate Researcher, RAMP Scholar, B.S. 2012, Now at Duke University Computational Biology & Bioinformatics Ph.D. Program) Jacob Martinek (B.S. 2015 Honors in the Major Thesis Title: "Improving fMRI Classification Through Network Deconvolution") Other Former Group Members: Joshua Keller (Undergraduate researcher, EXCEL URE program, Jan 2013 - May 2014) Erwin Holzhauser (Undergraduate researcher, EXCEL URE program, Jan 2013 - May 2014) Ryan Villaflores (EXCEL URE program, Jan-May 2014) Brook Stacy (Undergraduate researcher) UCF CS PhD applicants to my group should have strong algorithm development and programming skills (C/C++/Java and Perl/Python) and strong interest in biology. But no biology knowledge is required. We are interested in solving biological problems through algorithmic approaches. Please apply for admission first and indicate you are interested in my research in your statement. Please get in touch by sending email to shzhang at cs.ucf.edu after getting admitted by the UCF CS PhD program. Selected Publications: Ping Ge, Shahidul Islam, Cuncong Zhong, Shaojie Zhang* ; "De novo discovery of structural motifs in RNA 3D structures through clustering", Nucleic Acids Research , 09 March 2018, gky139. Full text Ardalan Naseri, Degui Zhi and Shaojie Zhang* , "Multi-allelic positional burrows-wheeler transform", IEEE 7th International Conference on Computational Advances in Bio and Medical Sciences (ICCABS) , 2017. Full text , Source Code Shahidul Islam, Ping Ge, and Shaojie Zhang* . "CompAnnotate: A comparative approach for RNA base-pair annotation". Nucleic Acids Research . 2017, 45(14):e136. Full text , Source Code Xu Zhang, Xiaoli Chen, Qiuying Liu, Shaojie Zhang , Wenqian Hu. "Translation repression via modulation of the cytoplasmic poly(A)-binding protein in the inflammatory response". eLife . 2017, 6:e27786. Full text Gene Sher, Degui Zhi, and Shaojie Zhang . "DRREP: deep ridge regressed epitope predictor". BMC Genomics . 2017, 18(Suppl 6):676. Full text , Source Code Bongyong Lee, Anupama Sahoo, John Marchica, Erwin Holzhauser, Xiaoli Chen, Jian-Liang Li,Tatsuya Seki, Subramaniam Shyamala Govindarajan, Fatu Badiane Markey, Mona Batish, Sonali J. Lokhande, Shaojie Zhang , Animesh Ray, and Ranjan J. Perera, "The long noncoding RNA SPRIGHTLY acts as an intranuclear organizing hub for pre-mRNA molecules", Science Advances , 03 May 2017, Vol. 3, no. 5, e1602505. Full text Ardalan Naseri, Xiaoming Liu, Shaojie Zhang* and Degui Zhi*, "Ultra-fast Identity by Descent Detection in Biobank-Scale Cohorts using Positional Burrows-Wheeler Transform", Annual International Conference on Research in Computational Molecular Biology (RECOMB) , 2017. Full text , Source Code Travis Meade, Zheng Zhao, Shaojie Zhang , David Pan, and Yier Jin, "Revisit Sequential Logic Obfuscation: Attacks and Defenses," IEEE International Symposium on Circuits and Systems (ISCAS) , 2017. Full text Travis Meade, Shaojie Zhang , and Yier Jin, "IP protection through gate-level netlist security enhancement", Integration, the VLSI Journal , Available online 5 November 2016. Full text Hanhui Ma, Li-Chun Tu, Ardalan Naseri, Maximiliaan Huisman, Shaojie Zhang , David Grunwald, and Thoru Pederson, "CRISPR-Cas9 nuclear dynamics and target recognition in living cells", Journal of Cell Biology , August 22, 2016. Full text Erwin Holzhauser, Ping Ge, and Shaojie Zhang* , "WebSTAR3D: a web server for RNA 3D structural alignment", Bioinformatics , August 6, 2016. Full text , WebSTAR3D Server Hanhui Ma, Li-Chun Tu, Ardalan Naseri, Maximiliaan Huisman, Shaojie Zhang , David Grunwald & Thoru Pederson, "Multiplexed labeling of genomic loci with dCas9 and engineered sgRNAs using CRISPRainbow", Nature Biotechnology , 34, 528-530, 2016. Full Text Jingshan Huang, Karen Eilbeck, Barry Smith, Judith A. Blake, Dejing Dou, Weili Huang, Darren A. Natale, Alan Ruttenberg, Jun Huan, Michael T. Zimmermann, Guoqian Jiang, Yu Lin, Bin Wu, Harrison J. Strachan, Yongqun He, Shaojie Zhang , Xiaowei Wang, Zixing Liu, Glen M. Borchert and Ming Tan, "The Non-Coding RNA Ontology (NCRO): a comprehensive resource for the unification of non-coding RNA biology", Journal of Biomedical Semantics , 7:24, 2016. Full text Travis Meade, Yier Jin, Mark Tehranipoor, and Shaojie Zhang , "Gate-Level Netlist Reverse Engineering for Hardware Security: Control Logic Register Identification," in IEEE International Symposium on Circuits and Systems (ISCAS 2016) , pp. 1334-1337, 2016. Full text Travis Meade, Shaojie Zhang , and Yier Jin, "Netlist Reverse Engineering for High-Level Functionality Reconstruction," in 21st Asia and South Pacific Design Automation Conference (ASP-DAC 2016) , 2016. Fall text Jingshan Huang, Karen Eilbeck, Judith A. Blake, Dejing Dou, Darren A. Natale, Alan Ruttenberg, Barry Smith, Michael T. Zimmermann, Guoqian Jiang, Yu Lin, Bin Wu, Yongqun He, Shaojie Zhang , Xiaowei Wang, He Zhang, Zixing Liu, Ming Tan, "A domain ontology for the Non-Coding RNA field", in 2015 IEEE International Conference on Bioinformatics and Biomedicine (BIBM-2015) , pp. 621-624, 2015. Full text Ping Ge and Shaojie Zhang* , "STAR3D: a stack-based RNA 3D structural alignment tool", Nucleic Acids Research , July 15, 2015. Full text , Source Code Ping Ge and Shaojie Zhang* , "Computational analysis of RNA structures with chemical probing data". Methods , June 2015, Vol 79-80, Pages 60-66. Full text Hanhui Ma, Ardalan Naseri, Pablo Reyes-Gutierrez, Scot A. Wolfe, Shaojie Zhang , and Thoru Pederson, "Multicolor CRISPR labeling of chromosomal loci in human cells". Proc Natl Acad Sci USA , 2015 Feb 23. Full text Cuncong Zhong and Shaojie Zhang* , "RNAMotifScanX: a graph alignment approach for RNA structural motif identification" RNA , 2015 0: rna.044891.114v1-14. Full text Dean Sullivan, Jeff Biggers, Guidong Zhu, Shaojie Zhang , and Yier Jin. "FIGHT-Metric: Functional Identification of Gate-Level Hardware Trustworthiness". In Proceedings of the The 51st Annual Design Automation Conference on Design Automation Conference (DAC '14) , June 2014. Full text Ping Ge, Cuncong Zhong, and Shaojie Zhang* , "ProbeAlign: incorporating high-throughput sequencing based structure probing information into ncRNA homology search". In Proceedings of 4th Annual RECOMB Satellite Workshop on Massively Parallel Sequencing (RECOMB-SEQ) , March 31 - April 1, 2014, and BMC Bioinformatics . 2014, 15 Suppl 9:S15. Full text Cuncong Zhong and Shaojie Zhang* , "Simultaneous Folding of Alternative RNA Structures with Mutual Constraints: An Application to Next-Generation Sequencing-based RNA Structure Probing", Journal of Computational Biology , Online Ahead of Print: April 1, 2014. Full text Jian-Liang Li, Joseph Mazar, Cuncong Zhong, Geoffrey J. Faulkner, Subramaniam S. Govindarajan, Zhan Zhang, Marcel E. Dinger, Gavin Meredith, Christopher Adams, Shaojie Zhang , John S. Mattick, Animesh Ray & Ranjan J. Perera, "Genome-wide methylated CpG island profiles of melanoma cells reveal a melanoma coregulation network", Scientific Reports , 3:2962, 2013. Full text Cuncong Zhong and Shaojie Zhang* , "Efficient alignment of RNA secondary structures using sparse dynamic programming", BMC Bioinformatics , 14:269, 2013. Full text ( Highly Accssed ) Ping Ge and Shaojie Zhang* , "Incorporating phylogenetic-based covarying mutations into RNAalifold for RNA consensus structure prediction", BMC Bioinformatics , 14:142, 2013. Full text ( Highly Accessed ) Yuan Li, Cuncong Zhong, and Shaojie Zhang* , "Finding consensus stable local optimal structures for aligned RNA sequences and its application to discovering riboswitch elements", Accepted on January 21, 2013, Int J Bioinform Res Appl . 2014: 10(4):498-518. Full text Peter Tonner, Vinodh Srinivasasainagendra, Shaojie Zhang* and Degui Zhi*, "Detecting transcription of ribosomal protein pseudogenes in diverse human tissues in RNA-seq data", BMC Genomics , 13:412, 2012. Full text , ( Highly Accessed ). Cuncong Zhong, Justen Andrews and Shaojie Zhang* , "Discovering non-coding RNA elements in Drosophila 3' untranslated regions", Accepted on August 6, 2012, Int J Bioinform Res Appl . 2014: 10(4): 479-497. Full text Cuncong Zhong, Justen Andrews and Shaojie Zhang* , "Discovering Non-coding RNA Elements in Drosophila 3' Untranslated Regions", IEEE International Conference on Computational Advances in Bio and Medical Sciences (ICCABS) 2012 , Feb. 23-25, 2012, Las Vegas, Nevada, USA. Full text (Best Paper Award) Yuan Li and Shaojie Zhang* , "Finding consensus stable local optimal structures for aligned RNA sequences", IEEE International Conference on Computational Advances in Bio and Medical Sciences (ICCABS) 2012 , Feb. 23-25, 2012, Las Vegas, Nevada, USA. Full text Yuan Li and Shaojie Zhang* , "Predicting Folding Pathways between RNA Conformational Structures Guided by RNA Stacks", BMC Bioinformatics ,Volume 13 (Supplement 3): S5, 2012. Full text Joseph Mazar, Divya Khaitan, Dan DeBlasio, Cuncong Zhong, Subramaniam S. Govindarajan, Sharmila Kopanathi, Shaojie Zhang , Animesh Ray, Ranjan J. Perera*, "Epigenetic Regulation of Micro-RNA Genes and the Role of miR-34b in Cell Invasion and Motility in Human Melanoma", PLoS ONE , 6(9): e24922, 2011. Pubmed , Full text Cuncong Zhong and Shaojie Zhang* , "Clustering RNA structural motifs in ribosomal RNAs using secondary structural alignment", Nucleic Acids Research , first published online: October 5, 2011. Pubmed , Full text , NAR Cover Story , Genome Technology Story Yuan Li and Shaojie Zhang* , "Finding Stable Local Optimal RNA Secondary Structures", Bioinformatics , 27(21) 2994-3001, 2011. (Epub 2011 Sep 8). Pubmed , Full text Yuan Li and Shaojie Zhang* , "Predicting Folding Pathways between RNA Conformational Structures Guided by RNA Stacks", In Proceedings of the Second ACM International Conference on Bioinformatics and Computational Biology (ACM-BCB 2011) , 2011. Full text Yuan Li, Aaron Halpern and Shaojie Zhang* , "TreeLign: simultaneous stepwise alignment and phylogenetic positioning, with its application to automatic phylogenetic assignment of 16S rRNAs", In Proceedings of the Second ACM International Conference on Bioinformatics and Computational Biology (ACM-BCB 2011) , 2011. Full text Joseph Mazar, Dan DeBlasio, Subramaniam Govindarajan, Shaojie Zhang , and Ranjan J. Perera*, "Epigenetic regulation of microRNA-375 and its role in melanoma development in humans", FEBS Letters , 26 Jun 2011. Pubmed Full text Daniel DeBlasio, Jocelyne Bruand, Shaojie Zhang* , "A Memory Efficient Method for Structure-Based RNA Multiple Alignment," IEEE/ACM Transactions on Computational Biology and Bioinformatics , Accepted on 29 Apr. 2011. Pubmed , Full-text at IEEEXplore Shaojie Zhang* and Cuncong Zhong, "Computational tools for RNA structural motif identification", Biotech International , Vol 22, page 6-9, Nov. 2010. Full text (featured article). Cuncong Zhong, Haixu Tang, and Shaojie Zhang* , "RNAMotifScan: automatic identification of RNA structural motifs using secondary structural alignment", Nucleic Acids Research Aug. 8, 2010. Pubmed , Full text Daniel DeBlasio, Jocelyne Bruand, and Shaojie Zhang* , "PMFastR: A new approach to multiple RNA structure alignment", In: Proceedings of the 9th Workshop on Algorithms in Bioinformatics (WABI 2009), Berlin: Springer-Verlag: LNBI Vol. 5724, pp. 49-61, 2009. ACM Digital Library Buhm Han, Banu Dost, Vineet Bafna and Shaojie Zhang* , "Structural alignment of pseudoknotted RNA", Journal of Computational Biology , 15(5) page 489-504, 2008. Pubmed Shaojie Zhang , Ilya Borovok, Yair Aharonowitz, Roded Sharan and Vineet Bafna, "A sequence-based filtering method for ncRNA identification and its application to searching for riboswitch elements", Bioinformatics (Proceedings of ISMB 2006) Vol. 22, No. 14, page e557-e565, 2006. Pubmed Banu Dost, Buhm Han, Shaojie Zhang and Vineet Bafna, "Structural alignment of pseudoknotted RNA", In RECOMB 2006: Proceedings of the 10th annual international conference on research in computational molecular biology , 2006. SpringerLink Vineet Bafna, Haixu Tang and Shaojie Zhang , "Consensus folding of unaligned RNA sequences revisited", Journal of Computational Biology, Vol. 13, No. 2, page 283-295, 2006. Pubmed Vineet Bafna, Haixu Tang and Shaojie Zhang , "Consensus folding of unaligned RNA sequences revisited", In RECOMB 2005: Proceedings of the 9th annual international conference on research in computational molecular biology , 2005. SpringerLink Shaojie Zhang , Brian Haas, Eleazar Eskin and Vineet Bafna, "Searching Genomes for non-coding RNA using FastR", IEEE/ACM Transactions on Computational Biology and Bioinformatics Vol. 2(4) 366-379, 2005. Pubmed ACM Digital Library Vineet Bafna and Shaojie Zhang , "FastR: Fast Database Search Tool for Non-coding RNA", In Proceedings of IEEE Computational Systems Bioinformatics (CSB 2004) Conference , page:52-61, 2004. Pubmed Wen Zhang, Shaojie Zhang , Haixu Tang and Dafu Ding, "Reverse-Translated Alignment of EST Sequence with Protein Sequence", Acta. Biophysica Sinica , 16(2) page 322-333, 2000. diff --git a/src/data/compiled_bios/335.txt b/src/data/compiled_bios/335.txt new file mode 100644 index 0000000000..228f24f2d5 --- /dev/null +++ b/src/data/compiled_bios/335.txt @@ -0,0 +1 @@ +Name: Daescu, Ovidiu:: Position: Professor (CS & CE),Associate Department Head:: Degrees: Ph.D., Computer Science and Engineering, University of Notre Dame,Notre Dame, IN; M.S., Computer Science and Engineering, University of Notre Dame,Notre Dame, IN; Engineer Diploma, Computer Science and Automation, Technical Military Academy,Bucharest, Romania; Research Interests: Computational Geometry; Algorithms and Optimization; Bio-Medical Computing; diff --git a/src/data/compiled_bios/3350.txt b/src/data/compiled_bios/3350.txt new file mode 100644 index 0000000000..904308cb84 --- /dev/null +++ b/src/data/compiled_bios/3350.txt @@ -0,0 +1 @@ + Wei Zhang @ UCF Wei Zhang Home About Me I am Wei Zhang, an assistant professor at the Department of Computer Science and a core member for the Genomics and Bioinformatics Cluster at University of Central Florida. My primary research interest is computational biology, an interdisciplinary research area where computational, mathematical and statistical methods are applied to solve biology problems. My research covers several important topics in cancer transcriptome, spanning from technique-driven research that aims at developing graph-based learning algorithms for cancer transcriptome analysis with prior knowledge, to hypothesis-driven investigation of specific biological problems. I received my Ph.D and M.S. from the Computer Science and Engineering Department at University of Minnesota-Twin Cities. My advisor are Dr. Rui Kuang and Dr. Baolin Wu . I did my Bachelor thesis in Computer Science from Winona State University under Dr. Mingrui Zhang's supervision. Before joining UCF in 2017, I was a research associate at University of Minnesota for two years. I am looking for self-motivated students who are interested in pursuing Ph.D. degree in Machine Learning and Computational Biology. Graduate/Undergraduate students who would like to join my group should e-mail me directly with information about yourself (e.g. your major, degrees, CV/resume, and transcript). Self-funded visiting scholars are also welcomed to contact me. Research Interests Computational Biology and Bioinformatics Machine Learning Biostatistics Teaching Spring 2019: COT3100H Introduction to Discrete Structure Fall 2018: COP5537 Network Optimization Spring 2018: COT3100H Introduction to Discrete Structure Fall 2017: COP5537 Network Optimization Publications Peer-reviewed Publication Google Scholar ORCID Raphael Petegrosso, Zhuliu Li, Molly Srour, Yousef Saad, Wei Zhang , and Rui Kuang. Scalable Remote Homology Detection and Fold Recognition in Massive Protein Networks. PROTEINS: Structure, Function, and Bioinformatics , 2019. (Accepted) Shaahin Angizi, Jiao Sun , Wei Zhang , and Deliang Fan. AlignS: A Processing-In-Memory Accelerator for DNA Short Read Alignment Leveraging SOT-MRAM. Design Automation Conference (DAC) , June 2019. (Accepted) Shaahin Angizi, Jiao Sun , Wei Zhang , and Deliang Fan. GraphS: A Graph Processing Accelerator Leveraging SOT-MRAM. Design, Automation and Test in Europe (DATE) , Mar 2019. (Accepted) Jae-Woong Chang*, Wei Zhang *, Hsin-Sung Yeh, Meeyeon Park, Chengguo Yao, Yongsheng Shi, Rui Kuang # , and Jeongsik Yong # . An Integrative Model for Alternative Polyadenylation, IntMAP, Delineates mTOR-modulated Endoplasmic Reticulum Stress Response. Nucleic Acids Research , 2018. (*Joint first authors) doi:10.1093/nar/gky340 [Download] Sk. Kayum Alam, Matteo Astone, Ping Liu, Stephanie Hall, Abbygail Coyle, Erin Dankert, Dane Hoffman, Wei Zhang , Rui Kuang, Anja Roden, Aaron Mansfield, and Luke Hoeppner. DARPP-32 and t-DARPP Promote Non-small Cell Lung Cancer Growth Through Regulation of IKK-dependent Cell Migration. Communication Biology , 2018. doi:10.1038/s42003-018-0050-6 Xiaoyu Xiang, Yuanguo Wang, Hongbin Zhang, Jinhua Piao, Selvaraj Muthusamy, Lei Wang, Yibin Deng, Wei Zhang , Rui Kuang, Daniel D. Billadeau, Shengbing Huang, Jinping Lai, Raul Urrutia, and Ningling Kang. Vasodilator-stimulated phosphoprotein promotes liver metastasis of gastrointestinal cancer by activating a 1-integrin-FAK-YAP1/TAZ signaling pathway. npj Precision Oncology , 2018. doi:10.1038/s41698-017-0045-7 Wei Zhang , Jeremy Chien, Jeongsik Yong, and Rui Kuang. Network-based Machine Learning and Graph Theory Algorithms for Precision Oncology. npj Precision Oncology , 2017. doi:10.1038/s41698-017-0029-7 Hsin-Sung Yeh, Wei Zhang , Jeongsik Yong. Analyses of alternative polyadenylation: from old school biochemistry to high-throughput technologies. BMB Reports , 2017. doi:10.5483/BMBRep.2017.50.4.019 Lining Liang, Hao Sun, Wei Zhang , Mengdan Zhang, Xiao Yang, Rui Kuang, and Hui Zheng. Meta-Analysis of EMT Datasets Reveals Different Types of EMT. PLoS One , 2016. doi:10.1371/journal.pone.0156839 Wei Zhang , Jae-Woong Chang, Lilong Lin, Kay Minn, Baolin Wu, Jeremy Chien, Jeongsik Yong, Hui Zheng, and Rui Kuang. Network-based Isoform Quantification with RNA-Seq Data for Cancer Transcriptome Analysis. PLoS Comput Biol , 2015. doi:10.1371/journal.pcbi.1004465 [Download] Jae-Woong Chang*, Wei Zhang *, Hsin-Sung Yeh, Ebbing de Jong, Semo Jun, Kwan-Hyun Kim, Sun Sik Bae, Kenneth Beckman, TaeHyun Hwang, Kye-Seong Kim, Do-Hyung Kim, Rui Kuang, and Jeongsik Yong. mRNA 3'UTR Shortening is a Molecular Signature of mTORC1 Activation. Nature Communications , 2015. doi:10.1038/ncomms8218 (*Joint first authors) Wei Zhang , Takayo Ota, Viji Shridhar, Jeremy R Chien, Baolin Wu, and Rui Kuang. Network-based Survival Analysis Reveals Subnetwork Signatures for Predicting Outcomes of Ovarian Cancer Treatment. PLoS Comput Biol , 2013. doi:10.1371/journal.pcbi.1002975 [Download] Jiaqi Yang, Wei Zhang , Baolin Wu. A note on statistical method for genotype calling of high-throughput SNP arrays. Journal of Applied Statistics , 2013. doi:10.1080/02664763.2013.785499 Wei Zhang , Nicholas Johnson, Baolin Wu, and Rui Kuang. Signed Network Propagation for Detecting Differential Gene Expressions and DNA Copy Number Variations. Proc. of ACM Conference on Bioinformatics, Computational Biology and Biomedicine (ACM BCB) , Oct 2012. [Paper] [Download] TaeHyun Hwang, Wei Zhang , MaoQiang Xie, Jinfeng Liu, and Rui Kuang. Inferring Disease and Gene Set Associations with Rank Coherence in Networks. Bioinformatics , 27(19): 2692-2699, 2011. doi:10.1093/bioinformatics/btr463 Wei Zhang , Baryun Hwang, Baolin Wu, and Rui Kuang. Network propagation models for gene selection. Proc. of IEEE International Workshop on Genomic Signal Processing and Statistics (GENSIPS) , Nov 2010. [Paper] Mingrui Zhang, Wei Zhang , Hugues Sicotte, and Ping Yang. A New Validity Measure for a Correlation-Based Fuzzy C-means Clustering Algorithm. Conference Proc. The 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) , Sept 2009. [Paper] Other manuscript Raphael Petegrosso*, Wei Zhang *, Zhuliu Li, Yousef Saad, and Rui Kuang. Low-rank Label Propagation for Semi-supervised Learning with 100 Millions Samples. (*Joint first authors) [Paper] Wei Zhang , Rui Kuang, and Baolin Wu. Model Based Clustering Analysis of 16S rRNA Sequence. [Paper] Thesis Wei Zhang . Computational Analysis of Transcript Interactions and Variants in Cancer. Ph.D Thesis (University of Minnesota, Twin Cities), 2015. [Paper] Internship Millennium: The Takeda Oncology Company Teaching Assistant@UMN CSCI 8980 (Fall 2015): Next Generation Computing and Analytics for Cancer Genomics. CSCI 5461 (Spring 2013 and Spring 2011): Functional Genomics, Systems Biology and Bioinformatics. CSCI 8980 (Fall 2012): Emerging Bioinformatics Models for NGS and Biological Network Analysis. CSCI 5481 (Fall 2011): Computational Techniques in Genomics. Academic Awards CNB-MAC Student Travel Grant, 2015 Best Poster Award, The 6th Annual Biomedical Informatics and Computational Biology Research Symposium, 2014 ACM-BCB Doctoral Student Travel Grant, 2012 10th Place of NCS/MAA Mathematic Contest in Midwest of America, 2008 4th Place of NCS/MAA Mathematic Contest in Midwest of America, 2007 14th Place of NCS/MAA Mathematic Contest in Midwest of America, 2006 Contact Office: BIO 137B (building 020) Office Hours (Spring 2019): M/W 3:00pm-4:30pm Phone: 407-823-2763 Email: wzhang.cs(at)ucf.edu diff --git a/src/data/compiled_bios/3351.txt b/src/data/compiled_bios/3351.txt new file mode 100644 index 0000000000..c7b584f241 --- /dev/null +++ b/src/data/compiled_bios/3351.txt @@ -0,0 +1 @@ + Homepage of Cliff Zou (Changchun Zou) Home Research Personal activity Cliff C. Zou (Changchun Zou) Associate Professor Program Coordinator of Master Degree in Digital Forensics Data Systems Group Department of Computer Science University of Central Florida 4328 Scorpius St, Orlando, FL 32816-2362 Email: czou@cs.ucf.edu Tel: 407-823-5015 Fax: 407-823-5835 Curricula Vitae Research Interests Computer and network security Computer networking Network modeling and performance evaluation Education Ph.D (2005) Dept. Electrical & Computer Engineering, Univ. Massachusetts, Amherst M.S (1999) Dept. of Automation, University of Science & Technology of China (USTC) B.S (1996) Dept. of Automation, University of Science & Technology of China (USTC) News Aug. 2017: Dr. Yier Jin from UF and I have been awarded with an NSF education grant on online digital forensics courses/labs ( DGE-1723587 ). Nov. 2013: I was interviewed by Local 6 News about hacked baby monitor and how to defend against it ( aired news ). May 2013: I received UCF Teaching Incentive Program (UCF-TIP) Award. May 2012: Baber Aslam is my second PhD graduated and becomes an Assistant Professor at National University of Sciences and Technology, Pakistan. Congratulation! Jun. 2011: I got my tenure and was promoted to Associate Professor. Dec. 2010: Ping Wang is the first PhD in my group graduated and will work in Symantec Inc. in Lake Mary, FL. Congratulation! Mar. 2010: Undergraduate research project "Personal Medication Monitor" won the first price in the first annual UCF Inventing Entrepreneurs Innovation Competition ( UCF News ). Mar. 2010: The Register and EurekAlert! News Service reported our honeypot detection research, respectively. Mar. 2010: I provided comments about botnet attack on WDBO-AM Radio news broadcasted on 03/02/2010. Here is the audio . Sep. 2009: My Internship research work in AT&T finally got US Patent 7587761 . Oct. 2009: Paper in Milcom'09 was reported by conference preview article published in IEEE communication magazine , October 2009, page 22. May 2008: The SMM rootkit work (paper published in Securecomm'08) was reported by PCWorld (05/09/2008). Dec. 2007: Best Student Paper Award in conference ACSAC 2007 . Mar. 2006: The research work in conference NDSS'06 paper "Modeling Botnet Propagation Using Time Zones" was reported by the New Scientist Magazine , Mar. 4, 2006 189(2541), pg.32. Teaching CIS 6395: Incident Response Technologies (Fall 2016, Fall 2017, Fall 2018) CNT 5410L: Cyber Operation Lab (Spring 2016, Spring 2017, Spring 2018) CAP 6135: Malware and Software Vulnerability Analysis (Spring 2009, Spring 2010 , Spring 2011 , Spring 2012 , Spring 2013 , Spring 2014 , Spring 2015 , Spring 2016 , Spring 2017, Spring 2018) CDA 6530: Performance Models of Computers and Networks ( Fall 2010 , Fall 2011 , Fall 2012 , Fall 2013 , Fall 2014 , Fall 2015 ) CNT 4704: Analysis of Computer Communication Networks (Fall 2005, Fall 2006, Fall 2007, Fall 2008, Fall 2009, Fall 2010, Fall 2011, Fall 2012, Fall 2013, Fall 2014, Fall 2015) COT 5405: Design and Analysis of Algorithms ( Spring 2015 ) CNT 3004: Computer Network Concept ( Spring 2011 , Summer 2012 ) CIS 3360: Security in Computing ( Spring 2012 ) CDA 5530: Performance Models of Computers and Networks (Fall 2008, Fall 2009) CAP 6133: Advanced Topics in Computer Security and Forensics (Spring, 2008) CDA 6938: Special topic - Research in Computer and Network Security (Spring 2006, Spring 2007) Funding US Army PEO STRI: "Enhancing the Persistent Cyber Training Environment" ($744,733, Co-PI, 10% share, 09/2018 to 09/2019 ) REU supplement for NSF DGE-1723587 ($16,000, Co-PI, 50% share, 09/2018 ~ 08/2019) NSF DGE-1723587: " SaTC: EDU: Online Digital Forensics Courses and Labs for Students and Professionals ", ($298,955, Co-PI, 50% share, 09/2017 ~ 08/2019) Florida Center for Cybersecurity (FC2) seed grant: "Renewal: Smart Grid Security Protection through Cross Layer Approaches" (co-PI, my share: $15,000, 03/2016-05/2017) Florida Center for Cybersecurity (FC2) seed grant: "Smart Grid Security Protection through Cross Layer Approaches" (co-PI, my share: $16,666, 03/2015-05/2016) NSF REU supplement for CNS-0627318 ($16,000, 09/2009-08/2010). NSF Cyber Trust CNS-0627318: " Collaborative Research: CT-ISG: Modeling and Measuring Botnets " (PI, 100% share, 2006-2009, $175,000, in collaboration with Dr. Wenke Lee from Georgia Tech). Intel Research Fund on vulnerability analysis and hardware validation (PI, 100% share, 08/2007-08/2010, $53,465). UCF in-house grant (PI, 100% share, 05/2006-04/2007, $7,500). Publications ( Google Scholar Citation ) Book Chapter Baber Aslam, Ping Wang, Cliff C. Zou, "An Economical, Deployable and Secure Architecture for the Initial Deployment Stage of Vehicular Ad-Hoc Network", Chang, Chip-Hong, Potkonjak, Miodrag (Eds.): Secure System Design and Trustable Computing, Springer, ISBN 978-3-319-14971-4, 2016. Ping Wang, Lei Wu, Baber Aslam and Cliff C. Zou, " Analysis of Peer-to-Peer Botnet Attacks and Defenses ", to appear in Dariusz Krol, Damien Fay, Bogdan Gabrys (Ed): Propagation Phenomena in Real World Networks , Springer, ISSN: 1868-4394. Steven Zittrower and Cliff C. Zou, "Encrypted Ranked Proximity and Phrase Searching in the Cloud", Al-Sakib Khan Pathan (Ed): The State of the Art in Intrusion Prevention and Detection , CRC Press, Taylor & Francis Group, USA, January 2014.ISBN 9781482203516. Park, S., C. Zou, and D. Turgut, " Reliable Traffic Information Propagation in Vehicular Ad hoc Networks ," in R. Beyah, J. McNair, and C. Corbett (Eds): Security in Ad-hoc and Sensor Networks , Chapter 9, World Scientific Press, 2009, pp. 261-291. Ping Wang, Baber Aslam, Cliff C. Zou, " Peer-to-Peer Botnets ", in Stavroulakis, Peter; Stamp, Mark (Eds): Handbook of Information and Communication Security , Chapter 18, Springer Press, 2010, pp. 335-350. Sherri Sparks, Shawn Embleton, Cliff C. Zou. "Windows Rootkits - a Game of 'Hide and Seek'," in Y. Xiao, F.H. Li, and H. Chen (Eds): Handbook of Security and Networks , Chapter 14, pp.345-369, World Scientific Publishing Co., ISBN-10: 9814273031, ISBN-13: 978-9814273039, 2011. Referred Journal Afraa Attiah, Faisal Amjad, Mainak Chatterjee, Cliff Zou, "An Evolutionary Routing Game for Energy Balance in Wireless Sensor Networks", in Elsevier Computer Networks (COMNET), Volume 138, 19 June 2018, Pages 31-43 . (IF:2.516) Omar Nakhila, Muhmmad Faisal Amjad, Erich Dondyk, Cliff Zou, "Gateway independent user-side wi-fi Evil Twin Attack detection using virtual wireless clients", in Elsevier Computers & Security, Volume 74, May 2018, Pages 41-54 (IF: 2.849). Hayoung Oh, Cliff C. Zou, Soyoung Park, " An Enhanced Community-based Reputation System for Vehicular Ad Hoc Networks ", in International Journal of Engineering and Technology (IJET), Vol 8 No 5 Oct-Nov 2016. Muhammad Faisal Amjad, Mainak Chatterjee, Omar Nakhila, Cliff C. Zou, " Evolutionary Non-Cooperative Spectrum Sharing Game: Long Term Coexistence for Collocated Cognitive Radio Networks ", in Wiley Journal of Wireless Communications and Mobile Computing (WCM), Volume 16, Issue 15, October 2016, pp. 21662178. Faisal Amjad, Mainak Chatterjee, Cliff C. Zou, " Coexistence in Heterogeneous Spectrum Through Distributed Correlated Equilibrium in Cognitive Radio Networks ", in Elsevier Computer Networks (COMNET), Vol. 98, pp 109 -122, April 2016. (IF:2.516) Faisal Amjad, Baber Aslam, Affraa Attiah, Cliff C. Zou, "Towards Trustworthy Collaboration in Spectrum Sensing for Ad hoc Cognitive Radio Networks", in Springer Journal of Wireless Networks , Vol. 22, Issue 3, pp 781-797, April 2016. Xiaobin Tan, Jiangyu Zheng, Cliff Zou, Yukun Niu, "Pseudonym-based Privacy-preserving Scheme for Data Collection In Smart Grid", International Journal of Ad Hoc and Ubiquitous Computing (IJAHUC), Vol. 22, No. 2, 2016. Sheng Wen, Wei Zhou, Jun Zhang, Yang Xiang,Wanlei Zhou, Weijia Jia,Cliff C. Zou, " Modeling and Analysis on the Propagation Dynamics of Modern Email Malware ", IEEE Transactions on Dependable and Secure Computing, Vol. 11, No. 4, pp. 361-374, July-Aug., 2014. Dondyk, E., Rivera, L. and Zou, C.C. "Wi-Fi Access Denial of Service Attack to Smartphones", Int. J. Security and Networks , Vol. 8, No. 3, pp.117C129, 2013. Baber Aslam, Ping Wang, Cliff C. Zou, "Extension of internet access to VANET via satellite receive-only terminals". International Journal of Ad Hoc and Ubiquitous Computing (IJAHUC) Vol. 14, No. 3: 172-190 (2013). Shawn Embleton, Sherri Sparks, Cliff C. Zou, "SMM Rootkit: A New Breed of OS Independent Malware", Wiley Journal of Security and Communication Networks, Vol. 6, No. 12, 2013,pp. 1590-1605. Soyoung Park, Baber Aslam, Damla Turgut, Cliff C. Zou, "Defense against Sybil Attack in the Initial Deployment Stage of Vehicular Ad hoc Network based on Roadside Unit Support", Wiley Journal of Security and Communication Networks , Vol. 6, No. 4, 2013, pp. 523-538. Corey McCall, Branden Maynes, Cliff C. Zou, Ning Zhang. " An Automatic Medication Self-Management and Monitoring System for Independently Living Patients ", Elsevier Journal of Medical Engineering & Physics , Vol. 35, No. 4, 2013, pp. 505-514. Lei Wu, Jerome Harrington, Corey Kuwanoe, Cliff C. Zou, "Harnessing the Power of BitTorrent for Distributed Denial-of-Service Attacks", Wiley Journal of Security and Communication Networks, 4(8), p.860-870, 2011 . Baber Aslam, Soyoung Park, Cliff Zou, and Damla Turgut. " Secure Traffic Data Propagation in Vehicular Ad hoc Networks ", International Journal of Ad Hoc and Ubiquitous Computing (IJAHUC), 6(1), p.24-39, 2010. Ping Wang, Lei Wu, Ryan Cunningham, Cliff C. Zou. " Honeypot Detection in Advanced Botnet Attacks ", International Journal of Information and Computer Security (IJICS), 4(1), p.30-51, 2010. Ping Wang, Sherri Sparks, Cliff C. Zou. " An Advanced Hybrid Peer-to-Peer Botnet ", IEEE Transactions on Dependable and Secure Computing , 7(2), 113-127, April-June,2010. Cliff C. Zou, Don Towsley, Weibo Gong. " Modeling and Simulation Study of the Propagation and Defense of Internet Email Worm ," IEEE Transactions on Dependable and Secure Computing , 4(2), p.105-118, April-June 2007. Cliff C. Zou, Nick Duffield, Don Towsley, Weibo Gong. " Adaptive Defense Against Various Network Attacks ," IEEE Journal on Selected Areas in Communications: High-Speed Network Security (J-SAC), 24(10), p.1877-1888, October 2006. (Acceptance ratio: 14/70= 20%) Cliff C. Zou, Don Towsley, and Weibo Gong. " On the Performance of Internet Worm Scanning Strategies ," Elsevier Journal of Performance Evaluation , 63(7), p.700-723, July 2006. Cliff C. Zou, Don Towsley, Weibo Gong, Songlin Cai. " Advanced Routing Worm and Its Security Challenges ," Simulation: Transactions of the Society for Modeling and Simulation International , 82(1), p.75-85, 2006. Cliff C. Zou, Weibo Gong, Don Towsley, and Lixin Gao. " The Monitoring and Early Detection of Internet Worms ," IEEE/ACM Transactions on Networking , 13(5), p.961-974, October 2005. Referred conferences and workshops Afraa Attiah, Mainak Chatterjee and Cliff Zou, " A Game Theoretic Approach to Model Cyber Attack andDefense Strategies ", in IEEE International Conference on Communications (ICC) , 20-24 May 2018. Hossein Rezaeighaleh, Roy Laurens, Cliff Zou, " Secure Smart Card Signing with Time-based Digital Signature ", in Workshop on Computing, Networking and Communications (CNC), in conjunction with the International Conference on Computing, Networking and Communications (ICNC) , pp.182-187, Hawaii, Mar. 2018. Kutalmis Akpinar, Fereshteh Jafariakinabad, Kien Hua, Omar Nakhila, Jun Ye, Cliff Zou, "Fault-Tolerant Network-Server Architecture for Time-Critical Web Applications", IEEE 15th Intl Conf on Dependable, Autonomic and Secure Computing (DASC), Nov. 2017. Dean Wasil, Omar Nakhila, Salih Safa Bacanli, Cliff Zou and Damla Turgut, " Exposing Vulnerabilities in Mobile Networks: A Mobile Data Consumption Attack ", Fourth National Workshop for REU Research in Networking and Systems (co-located with IEEE MASS) , October 22, 2017 , Orlando, FL. Roy Laurens, Cliff C. Zou, Jusak Jusak. " Invariant Diversity as Proactive Fraud Detection Mechanism for Online Merchant ", IEEE Globecom , 4-8 December, 2017. Omar Nakhila, Cliff C. Zou, " Circumvent Wi-Fi Traffic Shaping Using Virtual Wireless Clients in IEEE 802.11 Wireless Local Area Networks ", IEEE MILCOM , Nov., 2017. Heather Lawrence, Andrew Hughes, Robert Tonic, Cliff Zou,Yier Jin, " D-miner: A Framework for Mining, Searching, Visualizing, and Alerting on Darknet Events ", in IEEE Conference on Communications and Network Security (CNS), 9-11 October 2017, Las Vegas, NV USA. Amirfarhad Nilizadeh, Wojciech Mazurczyk, Cliff Zou, Gary Leavens, " Information Hiding in RGB Images using an Improved Matrix Pattern Approach ", in Bright and Dark Sides of Computer Vision: Challenges and Opportunities for Privacy and Security (CV-COPS 2017). In conjunction with the IEEE Conference on Computer Vision and Pattern Recognition. Hawaii Convention Center, Honolulu, Hawaii, July 21, 2017. Afraa Attiah, Cliff C. Zou, Mainak Chatterjee, " A Game Theoretic Approach for Energy-Efficient Clustering in Wireless Sensor Networks ", in IEEE Wireless Communications and Networking Conference (WCNC), March 2017. Omar Nakhila, Cliff C. Zou, " User-Side Wi-Fi Evil Twin Attack Detection Using Random Wireless Channel Monitoring ", IEEE MILCOM , Nov., 2016. Omar Nakhila, Cliff C. Zou, " Parallel Active Dictionary Attack on IEEE 802.11 Enterprise Networks ", IEEE MILCOM , Nov., 2016. Roy Laurens, Cliff Zou, " Using Credit/Debit Card Dynamic Soft Descriptor as Fraud Prevention System for Merchant ", IEEE GLOBECOM , Dec., 2016. Afraa Attiah, Faisal Amjad, Mainak Chatterjee, Cliff Zou, " An Evolutionary Game for Efficient Routing in Wireless Sensor Networks ", IEEE GLOBECOM , Dec., 2016. Afraa Attiah, Faisal Amjad, Omar Nakhila, Cliff Zou, " ADP: An Adaptive Feedback Approach for Energy-Efficient Wireless Sensor Networks ", in International Conference on Computing, Networking and Communications (ICNC), Workshop on Computing, Networking and Communications (CNC), February 2016. Graham Fleener, Marco Mayor, Cliff Zou, " Risk Management Framework (RMF) Transition Impacts in Training Simulation Systems ", in Interservice/Industry Training, Simulation and Education Conference (I/ITSEC), Nov.30 - Dec.4, 2015, Orlando, USA. Omar Nakhila, Afraa Attiah, Yier Jin, Cliff C. Zou, " Parallel Active Dictionary Attack on WPA2-PSK Wi-Fi Networks ", to appear in IEEE Military Communications Conference (MILCOM), October 26-28, Tampa, FL, 2015. Kien Hua, Ning Jiang, Jason Kuhns, Vaithiyanathan Sundaram, Cliff C. Zou, "Redundancy Control through Traffic Deduplication", in IEEE INFOCOM, 2015.(Acceptance rate: 316/1640=19.3%) Erich Dondyk, Omar Nakhila, Cliff C. Zou, " SPS: an SMS-based Push Service for Energy Saving in Smartphone's Idle State ", in 12th Annual IEEE Consumer Communications and Networking Conference (CCNC), Jan. 9-12, Las Vegas, 2015. Omar Nakhila, Erich Dondyk, Faisal Amjad, Cliff C. Zou, " User-Side Wi-Fi Evil Twin Attack Detection Using SSL/TCP Protocols ", in 12th Annual IEEE Consumer Communications and Networking Conference (CCNC), Jan. 9-12, Las Vegas, 2015. Faisal Amjad, Mainak Chatterjee, Omar Nakhila, Cliff C. Zou, " An Evolutionary Game Theoretic Framework for Coexistence in Cognitive Radio Networks ", in IEEE Global Conference on Signal and Information Processing (GlobalSIP), Atlanta, Georgia, Dec. 3-5, 2014. Graham Fleener, Cliff C. Zou, Jason Eddy, " Cybersecurity Impacts of a Cloud Computing Architecture in Live Training ", in Interservice/Industry Training, Simulation and Education Conference (I/ITSEC), Dec. 1-5, 2014, Orlando, USA. Xiaobin Tan, Zifei Zhou, Cliff Zou, Yukun Niu, Xin Chen, "Copyright Protection in Named Data Networking", in International Conference on Wireless Communications and Signal Processing (WCSP), Hefei, China, Oct., 2014. Faisal Amjad, Mainak Chatterjee, Cliff C. Zou, " Inducing Cooperation for Optimal Coexistence in Cognitive Radio Networks: A Game Theoretic Approach ", in IEEE Military Communications Conference (MILCOM), Baltimore, Oct. 6-8, 2014. Roberto Alberdeston, Erich Dondyk, Cliff C. Zou, " Click-Tracking Blocker: Privacy Preservation by Disabling Search Engines' Click-Tracking ", in IEEE GLOBECOM , Dec. 2014. Jiangyu Zheng, Xiaobin Tan, Cliff C. Zou, Yukun Niu, Jin Zhu, "A Cloaking-Based Approach to Protect Location Privacy in Location-Based Services", in 33rd Chinese Control Conference (CCC) , Nanjing, China, July 28-30, 2014. Baber Aslam, Faisal Amjad, Cliff C. Zou, " PMTR: Privacy-enhancing Multilayer Trajectory-based Routing Protocol for Vehicular ad hoc Networks ", IEEE Military Communications Conference (MILCOM), San Diego, Nov. 18-20, pp. 882-887, 2013. Faisal Amjad, Baber Aslam, Cliff C. Zou, " Reputation Aware Collaborative Spectrum Sensing for Mobile Cognitive Radio Networks ", IEEE Military Communications Conference (MILCOM), San Diego, Nov. 18-20, 2013. Faisal Amjad, Baber Aslam, Cliff C. Zou, " DS3: A Dynamic and Smart Spectrum Sensing Technique for Cognitive Radio Networks Under Denial of Service Attack ", IEEE Globecom , Atlanta, Dec. 9-13, 2013. Erich Dondyk, Cliff C. Zou, " Denial of Convenience Attack to Smartphones Using a Fake Wi-Fi Access Point ," in 10th Annual IEEE Consumer Communications and Networking Conference (CCNC), Las Vegas, Jan. 11-14, 2013, pp. 164-170. (Acceptance ratio: 94/313 = 30.0%) Faisal Amjad, Baber Aslam, Cliff C. Zou, " Transparent Cross-Layer Solutions for Throughput Boost in Cognitive Radio Networks ," in 10th Annual IEEE Consumer Communications and Networking Conference (CCNC), Las Vegas, Jan. 11-14, 2013, pp. 580-586. (Acceptance ratio: 94/313 = 30.0%) Rung-Ching Chen, Wei-Lung Chang, Chia-Fen Shieh, Cliff C. Zou, " Using Hybrid Artificial Bee Colony Algorithm to Extend Wireless Sensor Network Lifetime ", Third International Conference on Innovations in Bio-Inspired Computing and Applications (IBICA), pp. 156-161, 2012. Steven Zittrower, Cliff C. Zou, " Encrypted Phrase Searching in the Cloud ", IEEE GLOBECOM ,Dec. 3-7, 2012, pp. 764-770. Baber Aslam, Faisal M. Amjad, Cliff C. Zou, " Optimal Roadside Units Placement in Urban Areas for Vehicular Networks ", in 17th IEEE Symposium on Computers and Communications (ISCC), Turkey, July 1-4, 2012, pp. 423-429. Jim Bardgett, Cliff C. Zou, " nSwitching: Virtual Machine Aware Relay Hardware Switching to improve intra-NIC Virtual Machine Traffic ", in IEEE International Conference on Communications , (ICC),Ottawa, Canada,Jun. 10-15, 2012, pp. 2700-2705. Huy D. Truong, Christopher F. Turner, Cliff C. Zou, " iCAPTCHA: The Next Generation of CAPTCHA Designed to Defend Against 3rd Party Human Attacks ", in IEEE International Conference on Communications , (ICC), Kyoto, Japan, Jun. 5-9, 2011. Soyoung Park, Baber Aslam, Cliff C. Zou, " Long-term Reputation System for Vehicular Networking based on Vehicle's Daily Commute Routine ", in 8th Annual IEEE Consumer Communications and Networking Conference (CCNC), Las Vegas, Jan. 9-12, 2011. (Acceptance ratio: 95/305 = 31.1%) Baber Aslam, Cliff C. Zou, " One-way-linkable Blind Signature Security Architecture for VANET ", in 8th Annual IEEE Consumer Communications and Networking Conference (CCNC), Las Vegas, Jan. 9-12, 2011. (Acceptance ratio: 95/305 = 31.1%) Corey McCall, Branden Maynes, Cliff C. Zou, Ning Zhang. " RMAIS: RFID-based Medication Adherence Intelligence System ", in 32nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Buenos Aires, Argentina, Aug.31 - Sept. 4, 2010. Baber Aslam, Lei Wu and Cliff C. Zou. " PwdIP-Hash: A Lightweight Solution to Phishing and Pharming Attacks ", to appear in IEEE International Symposium on Network Computing and Applications (NCA), 15-17 July, 2010 (6-page short paper). Peter Matthews, Andrew Mantel, Cliff C. Zou. " Scene Tagging: Image-Based CAPTCHA Using Image Composition and Object Relationships ",in Proceedings of ACM Symposium on Information, Computer and Communications Security (ASIACCS),p. 345-350 , Beijing,China, 13-16 Apr. 2010. (6-page short paper, acceptance ratio: 38/166=23%) Baber Aslam, Cliff C. Zou. " Distributed Certificate and Application Architecture for VANETs ", IEEE Military Communications Conference (MILCOM'09), Boston, Oct. 18-21, 2009. Soyoung Park, Baber Aslam, Damla Turgut, Cliff C. Zou. " Defense against Sybil Attack in Vehicular Ad-Hoc Network based On Roadside Units Support ", IEEE Military Communications Conference (MILCOM'09), Boston, Oct. 18-21, 2009. Baber Aslam, Ping Wang, Cliff C. Zou. " Pervasive Internet Access by Vehicles through Satellite Receive-only Terminals ", International Conference on Computer Communications and Networks (ICCCN), San Francisco,Aug. 2-6, 2009.(Acceptance ratio: 114/387 = 29.5%) Ping Wang, Lei Wu, Baber Aslam, Cliff C. Zou. " A Systematic Study on Peer-to-Peer Botnets ", International Conference on Computer Communications and Networks (ICCCN), San Francisco,Aug. 2-6, 2009.(Acceptance ratio: 114/387 = 29.5%) Sherri Sparks, Shawn Ambleton, Cliff C. Zou. " A Chipset Level Network Backdoor: Bypassing Host-Based Firewall & IDS ", Proceedings of ACM Symposium on Information, Computer and Communications Security (ASIACCS), Sydney, Australia, 10-12 Mar 2009. (full paper, acceptance ratio: 33/147 = 22.5%) Baber Aslam, Ping Wang, Cliff C. Zou. " An Economical, Deployable and Secure Vehicular Ad hoc Network ", in Proceedings of IEEE Military Communications Conference (MILCOM'08), San Diego, November 17-19, 2008. Shawn Embleton, Sherri Sparks, Cliff C. Zou. " SMM Rootkits: A New Breed of OS Independent Malware ", in Proceedings of 4th International Conference on Security and Privacy in Communication Networks (SecureComm), Istanbul, Turkey, Sept. 22-25, 2008. (full paper, Acceptance ratio: 26/123=21%) Soyoung Park, Cliff C. Zou. " Reliable Traffic Information Propagation in Vehicular Ad-Hoc Networks ," IEEE Sarnoff Symposium , Apr. 28-30, NJ, 2008 (invited paper). Sherri Sparks, Ryan Cunningham, Shawn Embleton, Cliff C. Zou. " Automated Vulnerability Analysis: Leveraging Control Flow for Evolutionary Input Crafting ", in 23rd Annual Computer Security Applications Conference (ACSAC), p.477-486, Miami Beach, Florida, Dec. 10-14, 2007. (acceptance ratio: 40/191=21%) Best Student Paper Award Jerome Harrington, Corey Kuwanoe, Cliff C. Zou. " A BitTorrent-Driven Distributed Denial-of-Service Attack ", 3 rd International Conference on Security and Privacy in Communication Networks (SecureComm), Nice, France, Sept. 17-20, 2007. (Acceptance ratio 26%=31/119) Ping Wang, Sherri Sparks, and Cliff C. Zou, " An Advanced Hybrid Peer-to-Peer Botnet ", USENIX Workshop on Hot Topics in Understanding Botnets (HotBots'07), Cambridge, MA, April 10th, 2007. (acceptance ratio: 11/32=34.4%) Jingfei Kong, Cliff C. Zou, and Huiyang Zhou, " Improving Software Security via Runtime Instruction-Level Taint Checking ", Workshop on Architectural and System Support for Improving Software Dependability (ASID) held with 12th International Conference on Architectural Support for Programming Languages and Operating Sytems (ASPLOS-XII), p.18-24,San Jose, CA, October, 2006. Cliff C. Zou and Ryan Cunningham. " Honeypot-Aware Advanced Botnet Construction and Maintenance ," in the International Conference on Dependable Systems and Networks (DSN), June 25-28, p.199-208, Philadelphia, 2006 (Acceptance ratio: 34/187=18.2%). David Dagon, Cliff C. Zou, and Wenke Lee. " Modeling Botnet Propagation Using Time Zones ," in 13th Annual Network and Distributed System Security Symposium (NDSS), p.235-249, Feb. 2-4, San Diego, 2006 (Acceptance ratio: 17/127=13.4%). Cliff C. Zou, Nick Duffield, Don Towsley, and Weibo Gong. " Adaptive Defense Against Various Network Attacks ," in SRUTI: Steps to Reducing Unwanted Traffic on the Internet , p.69-75, July 7-8, Boston 2005 (Acceptance ratio: 13/35=37.1%). Cliff C. Zou, Don Towsley, Weibo Gong, and Songlin Cai. " Routing Worm: A Fast, Selective Attack Worm based on IP Address Information ," 19th ACM/IEEE/SCS Workshop on Principles of Advanced and Distributed Simulation (PADS'05), p.199-206, June 1-3, Monterey, 2005 (Best Paper Award Runner-up, Acceptance ratio: 22/46=48%). Cliff C. Zou, Don Towsley, and Weibo Gong. " Email Worm Modeling and Defense ," 13th International Conference on Computer Communications and Networks (ICCCN'04), p.409-414, Oct. 11-13, Chicago, USA, 2004 (Best Paper Award Runner-up, Acceptance ratio: 73/207=35.3%). Cliff C. Zou, Weibo Gong, and Don Towsley. " Worm Propagation Modeling and Analysis under Dynamic Quarantine Defense ," ACM CCS Workshop on Rapid Malcode (WORM'03), p.51-60, Oct. 27, Washington DC, USA, 2003 (Acceptance ratio: 10/25=40%). Cliff C. Zou, Lixin Gao, Weibo Gong, and Don Towsley. " Monitoring and Early Warning for Internet Worms ," 10th ACM Conference on Computer and Communication Security (CCS'03), p.190-199, Oct. 27-31, Washington DC, USA, 2003 (Acceptance ratio: 35/253=13.8%). Cliff C. Zou, Weibo Gong, Don Towsley. " Code Red Worm Propagation Modeling and Analysis ," 9th ACM Conference on Computer and Communication Security (CCS'02), p.138-147, Nov. 18-22, Washington DC, USA, 2002 (Acceptance ratio: 27/153=17.6%). Technical reports and other publications Cliff C. Zou. " PCB: Physically Changeable Bit for Preserving Privacy in Low-End RFID Tags ," RFID Journal " RFID White Paper Library ", May 2006. Cliff C. Zou, Weibo Gong, and Don Towsley. " Feedback Email Worm Defense System for Enterprise Networks ," Umass ECE Technical Report TR-04-CSE-05 , April 2004. Cliff C. Zou, Don Towsley, and Weibo Gong. " A Firewall Network System for Worm Defense in Enterprise Networks ," Umass ECE Technical Report TR-04-CSE-01 , February 2004. Cassandras, C.G., C.G. Panayiotou, G. Diehl, W. Gong, Z. Liu, and C.C. Zou, " Clustering Methods for Multi-Resolution Simulation Modeling ," Proceedings of SPIE's 14th Annual Internation Symposium on Aerospace/Defense Sensing, Simulation, and Control , Orlando, FL, April 24-28, 2000. Cliff C. Zou, Hongsheng Xi, Baoqun Yin, Yaping Zhou, and Demin Sun. " Derivative Estimates Parallel Simulation Algorithm Based on Performance Potentials Theory ," International Federation of Automatic Control Conference (IFAC), Jul. 5-9, Beijing, China, 1999. Patent 7587761 : "Adaptive Defense Against Various Network Attacks", Patent granted on September 8, 2009, by Nicholas Duffield, Weibo Gong, Don Towsley, Changchun Zou. 20160350151 : Filed on Dec. 10th, 2013 (14/102,088): "System and Method for Routing Network Frames Between Virtual Machines", by Jim Bardgett and Changchun Zou. Professional Service Senior Member of IEEE (2010). NSF review panel, 2011, 2016. NIH review panel, 2014. Program Co-Chair: IEEE LCN workshop on network security 2006, International Conference on Malicious and Unwanted Software (Malware) 2010, IEEE International Workshop on Cyberspace Safety and Security (CSS) 2011. Session Chair: WORM 2006, SecureComm 2008, Malware 2008, AsiaCCS 2010, CCNC 2013, Globecom 2017. Technical Program Committee Member: 2019: WoWMoM, SocialSec , SciSec , FutureTech , DSIT 2018: WoWMoM, Securecomm, SciSec , CloudNet, IEMCON , Inscrypt, Malware 2017: WoWMoM , DCNET , TrustCom , Malware, Securecomm , Inscrypt 2016: ICC , ICC , DCNET , WoWMoM , Securecomm , FutureTech , Malcon , Inscrypt 2015: ICDCN , ICC , WoWMoM , DCNET , TrustCom , MALCON , SecureComm , Inscrypt 2014: ICDCN , DCNET , WoWMoM , Globecom , SMPE ,NSS, DHSS , STA , CIACS , ICCVE , TrustCom , Inscrypt , WCSP 2013: NSS , GLOBECOM , WoWMoM , STA , ICC , DCNET , TrustCom , FutureTech , INTERNET , ICCVE , Inscrypt , NCIA 2012: ICC , WoWMoM , DCNET , NPC , STA , GLOBECOM , INTERNET , Future Tech , Malware , ICCVE 2011: Malware , SecureComm , Trustcom , CSA , DCNET , WoWMoM , ICCCN , GLOBECOM , STA 2010: STA , ICPADS , Milcom, MMM-ACNS , Trustcom , IWCMC , ICC , NSS 2009: IWCMC , CHINACOM , NSS , PACCF , SecureComm , Malware 2008: SecureComm , NSS, Malware 2007: GLOBECOM , ICESS , 2006: WORM Local Co-Chair: ANCS 2007, ICNP 2008, UbiComp 2009, Multimedia 2014, IoTDI 2018, IC2E 2018, Securecomm 2019. Honors Our paper on Wiley Journal of Security and Communication Networks "SMM Rootkit: A New Breed of OS Independent Malware" is reported by Advances in Engineering Magazine (July 4th, 2014). Nov. 2013: I was interviewed by Local 6 News about hacked baby monitor and how to defend against it ( aired news ). UCF-Teaching Incentive Program (UCF-TIP) Award, May 2013. Undergraduate research project "Personal Medication Monitor" won the first price in the first annual UCF Inventing Entrepreneurs Innovation Competition in March 2010 ( UCF News ). Paper "Honeypot detection in advanced botnet attacks" published in International Journal of Information and Computer Security, 4(1),30-51,2010 was reported by EurekAlert! News Service and The Register , respectively. Paper in Milcom'09 reported by a conference preview article published in IEEE communication magazine, October 2009, page 22. The SMM rootkit work (paper published in Securecomm'08) was reported by PCWorld (05/09/2008). Best Student Paper Award in conference ACSAC 2007. The research work in NDSS'06 paper "Modeling Botnet Propagation Using Time Zones" was reported by the New Scientist Magazine , Mar. 4, 2006 189(2541), pg.32. Best Paper Award runner-up in PADS 2005. Best Paper Award runner-up in ICCCN 2004. Interviewed by National Public Radio (NPR) on our research "dynamic quarantine of Internet worm" (by Correspondent Larry Abramson), September 2003. The paper in conference CCS02 was ranked 112th among the top 200 "most cited articles in Computer Science published in 2002 - generated in September 2006" according to CiteSeer.Continuity database . The paper in conference CCS03 was ranked 151st among the top 200 "most cited articles in Computer Science published in 2003 - generated in September 2006" according to CiteSeer.Continuity database . Outstanding Graduate Teaching Assistant, University of Massachusetts, 2000/2001. Graduate School Fellowship, University of Massachusetts, 1999/2000. "Guo Moruo" Scholarship, the highest scholarship in the University of Science and Technology of China (USTC), 1996. Current PhD Students Roy Laurens, Hossein Rezaeighaleh Graduated Students BS (Honors in the Major with a research thesis): Erich Dondyk (graduated in May 2012), thesis: " Denial of Convenience Attack to Smartphones Using a Fake Wi-Fi Access Point " Corey McCall (graduated in December 2010), thesis: " A System that Implements Automatic Medication Management and Passive Remote Monitoring to Enable Independent Living of Healthcare Patients " MS : Haiou Xiang (graduated in August 2007), thesis: " Bluetooth-based Worm Modeling and Simulation " PhD : Baber Aslam (graduated in May 2012), Assistant Professor at National University of Sciences and Technology, Pakistan. Dissertation: " Networking and Security Solutions for VANET Initial Deployment Stage " Ping Wang (graduated in December 2010, working in Symantec Inc., Lake Mary, FL), dissertation: " The Next Generation Botnet Attacks And Defenses " Faisal Amjad (graduated in May 2015), Assistant Professor at National University of Sciences and Technology, Pakistan. Dissertation: "Opportunistic Spectrum Utilization by Cognitive Radio Networks: Challenges and Solutions" Omar Nakhila (graduated in May 2018), dissertation: " MASQUERADING TECHNIQUES IN IEEE 802.11 WIRELESS LOCAL AREA NETWORKS " Afraa Attiah (graduate in May 2018), Assistant Professor at College of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia. dissertation: " ENERGY EFFICIENT AND SECURE WIRELESS SENSOR NETWORKS DESIGN " diff --git a/src/data/compiled_bios/3352.txt b/src/data/compiled_bios/3352.txt new file mode 100644 index 0000000000..d13fc48e9f --- /dev/null +++ b/src/data/compiled_bios/3352.txt @@ -0,0 +1 @@ + Ronald F. DeMara, Personal Page HOME TEACHING OVERVIEW PEOPLE PUBLICATIONS ACTIVITIES Ronald F. DeMara ronald.demara@ucf.edu CAL Homepage (407) 823-5916 Office Fax: (407) 823-5835 HEC 310 Professor Electrical and Computer Engineering University of Central Florida Director of Computer Architecture Laboratory Curriculum Vitae Download CV Concise Bio Ronald F. DeMara received the Ph.D. degree in Computer Engineering from the University of Southern California in 1992. Since 1993, he has been a full-time faculty member at the University of Central Florida where he is a Professor of Electrical and Computer Engineering, and joint faculty of Computer Science, and has served as Associate Chair, ECE Graduate Coordinator, and Computer Engineering Program Coordinator. His research interests are in adaptive computer architectures with emphasis on reconfigurable and post-CMOS devices, evolvable and intelligent hardware, resilient and energy-aware logic design, and the digitization of STEM education. On these topics, he has completed over 250 publications, 47 funded projects as PI or Co-PI including sponsorship of NSF, NASA, Army, Navy, Air Force, DARPA, and NSA, with one patent granted and one provisional patent. He has completed 44 graduates as Ph.D. dissertation or M.S. thesis advisor and was previously an Associate Engineer at IBM and a Research Scientist at NASA Ames, in total for four years. He is a Senior/Topical Editor of IEEE Transactions on Computers and has served on the Editorial Boards of IEEE Transactions on VLSI Systems, Microprocessors and Microsystems , and as Guest Editor of various Transactions , and serves on various IEEE conference program committees including ISVLSI, NVMSA, SSCI, etc. He received the IEEE Joseph M. Bidenbach Outstanding Engineering Educator Award in 2008. ORCID ID: http://orcid.org/0000-0001-6864-7255 Extended Bio Ronald F. DeMara (IEEE S86-M93-SM04) received the B.S.E.E. degree with High Honors from Lehigh University in 1987, M.S.E.E. degree from the University of Maryland, College Park in 1989, and Ph.D. degree in Computer Engineering from the University of Southern California in 1992. Since 1993, he has been a full-time faculty member at the University of Central Florida (UCF) and is a Professor of Electrical and Computer Engineering, joint faculty of Computer Science, and Digital Learning Faculty Fellow. His interests are in adaptive and resilient computing architectures including reconfigurable fabrics and post-CMOS devices. He has applied these to autonomous, embedded, and intelligent/neuromorphic systems, on which he has completed over 250 articles, 47 funded projects as PI or Co-PI totaling $12M with one patent granted and one provisional patent, and 48 graduates as Ph.D. dissertation and/or M.S. thesis advisor. He was previously an Associate Engineer at IBM and a Visiting Research Scientist at NASA Ames, in total for four years, and is a registered Professional Engineer since 1992. His research has extended neuromorphic computing architectures using intrinsic stochastic post-CMOS devices; autonomous FPGA systems design at the register-level; soft error and BTI/TDDB resilient datapath design in deeply-scaled clocked CMOS; as well as clockless logic design and library development at the circuit-level; and dynamic runtime reconfiguration for energy/resiliency of signal processing fabrics at the system-level; and he has completed projects on these topics for NSF, NASA, Army, Navy, Air Force, DARPA, NSA, SRC, and others. Additional recent work includes Field Programmable Analog Arrays, STT cache/LUT design, and neuromorphic functional elements / design flows using probabilistic spin logic devices. He teaches graduate and undergraduate courses on Computer Organization, Logic Design, Evolvable Hardware, and Emerging Device Computing Architectures. He is a Senior Member of IEEE and Associate Editor of IEEE Transactions on Emerging Topics in Computing during 2019-present. He also served as a Topical Editor of IEEE Transactions on Computers in 2017-2018, as an Associate Editor of IEEE Transactions on VLSI Systems , and as an Associate Editor of IEEE Transactions on Computers for multiple terms. Additionally, he served on the editorial board of Microprocessors and Microsystems , and the Journal of Circuits, Systems, and Computers . He was Guest Editor of IEEE Transactions on Emerging Topics in Computing joint with Transactions on Computers 2017 Special Section on Innovation in Reconfigurable Fabrics. He was a Guest Editor of ACM Transactions on Embedded Computing Systems Special Issue on Configuring Algorithms, Processes, and Architectures. He also oversaw as Topical Editor the IEEE Transactions on Computers 2019 Special Section on Emerging Non-volatile Memory Technologies. He gave the Keynote Address at the IEEE RAW conference in 2017 and was Keynote Speaker of the IEEE Reconfigurable Computing and FPGAs (IEEE ReConFig) conference in 2006. Professor DeMara received best paper recognitions at the 27th IEEE/ACM Great Lakes Symposium on VLSI in 2018, the International Symposium on Quality Electronic Design in 2017, as well as a featured paper in IEEE Transactions on Emerging Topics in Computing in 2019, a a front cover article of IEEE Transactions on Magnetics in 2018, paper of the month at IEEE Transactions on Computers in 2017 and also in 2016, an IEEE Transactions on Circuits and Systems article highlighted for presentation at the IEEE International Symposium on Circuits and Systems in 2017, a featured paper of IET Electronics Letters in 2016, the best paper award at the IEEE-sponsored Adaptive Hardware and Systems conference in 2015, the International Conference on Field Programmable Logic , and others. At UCF, he received the Distinguished Research Lecturer Award, Research Initiative Award (RIA) twice, the university-level Scholarship of Teaching & Learning (SoTL) award twice, the Faculty Advisor of the Year Award in the College of Engineering, the university-level Teaching Initiative Program (TIP) Award four times, the Excellence in Undergraduate Teaching Award , the Excellence in Graduate Teaching Award , and the Excellence in Professional Service Award . His contributions have also recognized with the Marchioli Collective Impact Award for transformative innovations by a faculty member at the university-level. He is the Digital Learning Faculty Fellow at UCF leading thrusts in mixed-mode delivery, active learning, and assessment interwoven with tutoring initiatives in STEM degree programs across multiple colleges. He has been recognized as an iSTEM Fellow for instructional technology pilots within Engineering. For his contributions to advancing digitized assessments, he received the Online Learning Consortium (formerly Sloan Consortium) Effective Practice Award in 2018. He also received the Joseph M. Biedenbach Outstanding Engineering Educator Award from IEEE in 2008. !--> diff --git a/src/data/compiled_bios/3353.txt b/src/data/compiled_bios/3353.txt new file mode 100644 index 0000000000..1f935a1a77 --- /dev/null +++ b/src/data/compiled_bios/3353.txt @@ -0,0 +1 @@ + About Dr. Jun Wang Computer Architecture and Storage System Laboratory Computer Architecture and Storage System Laboratory Search for: Home Founder About Dr. Jun Wang Teaching Publication Professional Service Research Grants CASS Members Alumni Photo Gallery Contact Home Founder About Dr. Jun Wang Teaching Publication Professional Service Research Grants CASS Members Alumni Photo Gallery Contact About Dr. Jun Wang Professor Jun Wang Dr. Jun Wang joined Department of Electrical Engineering and Computer Science in University of Central Florida in 2006. Prior to that, he was a faculty in Computer Science and Engineering DepartmentofUniversity of Nebraska, Lincoln.He is the recipient of National Science Foundation Early Career Award 2009 andDepartment of Energy Early Career Principal Investigator Award 2005. Recently, he has won 2015 UCF Reach For the Stars award, 2013 Deans Research Professorship Award, Charles N.MillicanFaculty Fellow 2010-2012, and University of Central Florida Research Incentive Award 2010 and 2017. His research has been sponsored mainly by National Science Foundation and Department of Energy.His work aims to generate impacts in the high-performance I/O systems community.He has authored over 80 publications in premier journals such as IEEE Transactions on Computers, IEEE Transactions on Parallel and Distributed Systems, and leading HPC and systems conferences such as IPDPS, HPDC,EuroSys, ICS, Middleware, FAST. He has graduated 9Ph.D. students who upon their graduations were employed by major US IT corporations (e.g., Apple, Google, Microsoft, EMC, etc). He has served as an Associate Editor for the IEEE Transactions on Parallel and Distributed Systems, and IEEE Transactions on Cloud Computing . He has conducted extensive research in the areas of Computer Systems and High Performance Computing. His specific research interests include: Big Data and Big Compute Systems Data-intensive High Performance Computing Massive Storage and File System I/O Architecture US News and World Report announced UCF Computer Engineering graduate program 2015-2016ranking at 58. There are multiple graduate research assistant positions available in CASS laboratory. Please contact Prof. Wang at Jun.Wang@UCF.edu. EECS Electrical & Computer Engineering Phone: 407-8230449 Email: JUN.WANG@UCF.EDU Location: Harris Engineering Center (bldg. 116) 320 News ! RA position available ! If you are interested in our research program, please contact us! 2019 Computer Architecture and Storage System Laboratory Theme by Anders Noren Up diff --git a/src/data/compiled_bios/3354.txt b/src/data/compiled_bios/3354.txt new file mode 100644 index 0000000000..019354971c --- /dev/null +++ b/src/data/compiled_bios/3354.txt @@ -0,0 +1 @@ + Dr. Yaser P. Fallah Networked Systems Lab Home Projects Publications Members CAVE News Dr. Yaser P. Fallah Dr. Yaser P. Fallah Associate Professor Phone: +1 (407) 823-4182 Yaser.Fallah at ucf dot edu Info Post-Doctoral: PhD: MSc: BSc: My Courses: Research Interests: University of California, Berkeley University of British Columbia University of British Columbia Sharif Uni. of Tech. Digital Systems, Cyber Physical Systems Vehicular Communication, Cyber Physical Systems Download My CV Dr. Yaser P. Fallah is an associate professor and the director of the Networked Systems Lab (NSL) in the Department of Electrical Engineering and Computer Science at the University of Central Florida, where he joined in August 2016. He received his B.S. degree in electrical engineering from Sharif University of Technology, in 1998, the M.Sc. and Ph.D. degrees from the School of Electrical and Computer Engineering, University of British Columbia, Vancouver, CA in 2001 and 2007, respectively. His research interests lie in the area of Cyber Physical Systems and Vehicular Communication and Safety applications. Dr. Fallah has authored and co-authored more than 80 peer-reviewed journal and conference articles in his field of expertise. He has received an NSF CAREER Award in 2015. He is an editor of IEEE Transactions on Vehicular Technology. other my shedule Networked Systems Lab University of Central Florida Follow us on Linkedin: Menu Home Projects Publications Members News CAVE Contact Us Email: Yaser.Fallah@ucf.edu Phone: +1 (407) 823-4182 Address: HEC 338, Harris Engineering Center, University of Central Florida, Orlando, FL Copyright 2019 Networked Systems Lab All Rights Reserved. diff --git a/src/data/compiled_bios/3355.txt b/src/data/compiled_bios/3355.txt new file mode 100644 index 0000000000..a5647504d6 --- /dev/null +++ b/src/data/compiled_bios/3355.txt @@ -0,0 +1 @@ + Gary T. Leavens's Home Page Contents Biography Research Publications Contact My Web All Page Index Research Pages FM Lab Teaching Pages Favorites Research Research Page Students AOP JML MultiJava Larch/C++ Larch FAQ Typedscm Workshops FOAL FTfJP SAVCBS Teaching Courses COP 3223H FM Seminar Teaching PLs Valid XHTML 1.0 CSS2 Gary T. Leavens's Home Page GARY T. LEAVENS (leavens@cs.ucf.edu) Professor, and Chair of the University of Central Florida's Department of Computer Science . I am also the (interim) lead of the faculty cluster on Cyber Security and Privacy . (From January 1989 until August 2007, I was a professor of Computer Science at Iowa State University .) B.S. 1978, Computer & Communication Sciences , The University of Michigan M.S. 1980, Computer Science , The University of Southern California Ph.D. 1989, Computer Science , Massachusetts Institute of Technology Major Research Interests Programming and specification language design and semantics, formal methods (program specification and verification), aspect-oriented languages, object-oriented languages, distributed languages, type theory, programming methodology, software engineering, information assurance, computer science education. Current Research The long term goal of my research is to better understand how to solve programming problems: how to specify such problems, methods for thinking about such problems, notations for expressing solutions, and ways to check that the solutions are correct. In pursuing this goal, I have worked in two main areas: formal methods and programming languages. formal methods and programming languages . Formal Methods My work in formal methods has been focused on ways to specify and verify object-oriented (OO) software components. The specification work involves the design and formal description of behavioral interface specification languages (BISLs) . BISLs record information about detailed design: the interfaces and functional behavior of program modules. My group has designed a BISL for Smalltalk, called Larch/Smalltalk , a BISL for C++, called Larch/C++ Larch/C++, and, a BISL for Java called JML . Current work focuses on JML, and is being done with a large and growing international team of collaborators. Work on JML focuses on the problem of how to make it expressive enough for documenting existing code; we measure this using both theoretical analysis and case studies. We have made some progress; for example, work with Clyde Ruby reported at OOPSLA 2000 and in his dissertation aims to explain needs to be specified to deriving a subclass without seeing the source code for a superclass. There have also been papers (with Peter Mller and Arnd Poetzsch-Heffter) that use ownership to solve modularity problems in the specification and verification of layered systems. JML has also fostered much interesting work by other researchers. However, there are several important features that need more work, such as concurrency and performance constraints. Our current work on JML funded by the National Science Foundation ( NSF ) tries to address some of these issues, as well as issues of practicality. Early work on JML was done jointly with (former ISU professor) Al Baker, and former Ph.D. student Clyde Ruby . Former Ph.D. student Yoonsik Cheon , designed Larch/Smalltalk, helped in the design of Larch/C++, tools for JML, and is also contributing to the design of JML as an assistant professor at Univ. of Texas, El Paso. Several of my other students have also helped with the JML project. I have also worked with Baker and a former Ph.D. student, Tim Wahls, on executing such specifications. A long term interest in formal methods for OO software components is behavioral subtyping. The message passing mechanism of OO languages, such as C++ and Java, allows one to easily extend programs by adding new types. This works best if objects of the new types behave like the objects of the old types; the old types are supertypes of the new types, which are called subtypes . How should one reason about programs that use subtyping and message passing? We seek a reasoning method, formalized by specification and verification techniques, that is modular in the sense that when subtypes are added to a program, unchanged modules do not have to be respecified or reverified. The idea of behavioral subtyping , which I helped develop, supports a programming discipline, supertype abstraction , that solves this problem. To use supertype abstraction, one specifies and verifies code in terms of the static types of expressions written in a program (as usual), uses a type checker to ensure that the static types are supertypes of the run-time types, and then must prove that subtypes obey the specifications of their supertypes. Behavioral subtyping makes this technique sound. Krishna Kishore Dhara, a former Ph.D. student, has extended the formal theory of behavioral subtyping to types whose instances have time-varying state. Professor Don Pigozzi (now retired from the Mathematics Department at ISU ) and I have found an exact algebraic characterization of behavioral subtyping for immutable types. We have also been working on effective techniques for proving behavioral subtyping. Recent work with David Naumann (of Stevens) on behavioral subtyping has precisely characterized modular reasoning (supertype abstraction) for Java-like languages with mutation, and formally justifies its soundness. The work with Dhara, Pigozzi, and Naumann on the above topics was funded by various grants from the NSF. The potential impact of the work in formal methods is possibly great; it might lead to the engineering of software, instead of hacking. It also seems necessary for high quality software components and reuse. But more realistically, I view my research as trying to formally understand what one needs to think about when documenting and reasoning about a program or program component. This can be of great value for teaching and for the construction of tools, even if people do not use the formalism directly or on a daily basis. Programming Language Design and Semantics The other main aspect of my work has been on the design and semantics of programming languages. This falls in two areas: object-oriented languages with generic functions and aspect-oriented languages. Languages with generic functions are also known as multimethod programming languages, because method calls can dispatch a message send on all arguments, unlike a single-dispatching OO language, such as Smalltalk, C++, or Java. Multimethod languages are interesting because they can more easily express solutions to certain problems in OO programming (binary methods). My work on multimethod languages is joint with my (former) Ph.D. student Curtis Clifton (now a professor at Rose-Hulman) and has been done in collaboration with Craig Chambers of the University of Washington and his former Ph.D. student Todd Millstein (now a professor at UCLA). (Students Jianbing Chen and Sevtap Karakoy also have contributed to this work.) The work focuses on the semantics and type systems for variants of the Cecil and Java languages. To date we have published papers about an algorithm for type checking such languages with very expressive features (orthogonal inheritance and subtyping), about how to add multimethods to existing languages, and a way to add multimethods to Java. The latter has been developed into the language MultiJava and is featured in an ACM TOPLAS article. One big problem I worked on (with Craig Chambers) was how to get a language with both a (sound) static type system and a sensible module system. This problem was solved by Millstein and Chambers (as reported in ECOOP '99 ). We have applied their ideas to the design of an extension to the Java programming language called MultiJava. The ideas also seem applicable to the design of OO languages that are more flexible. A second interest in programming languages has been in aspect-oriented (AO) languages. As typified by AspectJ , AO languages offer advanced features for modularizing cross-cutting concerns, such as advice and intertype declarations (like MultiJava's ``open classes''). As part of a long term effort to better understand AO languages, my former Ph.D. student Curtis Clifton and I have been working on reasoning (e.g., about correctness) in AO languages. This work has been backed by a study of the operational semantics and type systems of AO languages. Curtis developed a simple and easily understood operational semantics for an AspectJ-like language, with a sound type system. This work also involved an effect system (concern domains) that makes it possible to more efficiently and effectively reason about AO programs. Recent results towards this end (with James Noble) appear in ECOOP 2007 . This work also involved an effect system (concern domains) that we hope will make it possible to more efficiently and effectively reason about AO programs. More recently, Hridesh Rajan and I have been working on a programming language that is less expressive than AspectJ-like languages, but which has advantages for modular reasoning. This language, Ptolemy , is a hybrid of an implicit-invocation language and an aspect-oriented language. It has promise both as a low-level language for virtual machines and for supporting easier static reasoning. The potential impact of these research directions might be large if this leads to more flexible, modular, and reusable coding practices. A recent NSF grant funded Curtis's research on AO languages. Details are available through my selection of representative publications below and through my other WWW pages (especially the the JML papers page ). You can also look at my vita . Representative Publications Gary T. Leavens and David A. Naumann . Behavioral Subtyping, Specification Inheritance, and Modular Reasoning. ACM TOPLAS , 37(4):13:1-13:88, Aug. 2015. http://doi.acm.org/10.1145/2766446 . Mehdi Bagherzadeh , Hridesh Rajan , Gary T. Leavens , and Sean Mooney . Translucid Contracts: Expressive Specification and Modular Verification for Aspect-Oriented Interfaces. In Proceedings of the tenth international conference on Aspect-oriented software development , Porto de Galinhas, Pernambuco, Brazil, ACM, 2011, pp. 141-152. http://doi.acm.org/10.1145/1960275.1960293 . C.A.R. Hoare , Jayadev Misra , Gary T. Leavens , and Natarajan Shankar . The Verified Software Initiative: A Manifesto. ACM Computing Surveys , 41 (4):22:1-22:8, October, 2009. http://dx.doi.org/10.1145/1592434.1592439 . John Hatcliff , Gary T. Leavens , K. Rustan M. Leino , Peter Mller , and Matthew Parkinson . Behavioral Interface Specification Languages. ACM Computing Surveys , 44 (3):16:1-16:58, June, 2012. http://dx.doi.org/10.1145/2187671.2187678 . Also Dept. of EECS, University of Central Florida, CS-TR-09-01, March 2009. [abstract] [PDF] [Survey home] [Examples] Hridesh Rajan and Gary T. Leavens . Ptolemy: A Language with Quantified, Typed Events. In Jan Vitek (ed.), ECOOP 2008 -- Object-Oriented Programming: 22nd European Conference , pages 155-179. Volume 5142 of Lecture Notes in Computer Science , Springer-Verlag, July, 2008. The original publication is available at springerlink.com from http://dx.doi.org/10.1007/978-3-540-70592-5_8 . Curtis Clifton , Gary T. Leavens , and James Noble . MAO: Ownership and Effects for more Effective Reasoning about Aspects. In ECOOP 2007 -- Object-Oriented Programming: 21st European Conference , pages 451-475. Volume 4609 of Lecture Notes in Computer Science , Springer-Verlag, July, 2007. The original publication is available at springerlink.com from http://dx.doi.org/10.1007/978-3-540-73589-2_22 . Steve M. Shaner , Gary T. Leavens . David A. Naumann , Modular Verification of Higher-Order Methods with Mandatory Calls Specified by Model Programs. In OOPSLA '07: Proceedings of the 22nd annual ACM SIGPLAN conference on Object-oriented programming systems and applications, pages 351-368, October 2007. (Volume 42, number 10 of ACM SIGPLAN Notices .) http://dx.doi.org/10.1145/1297105.1297053 Gary T. Leavens , K. Rustan M. Leino , and Peter Mller . Specification and verification challenges for sequential object-oriented programs. Formal Aspects of Computing , 19(2):159--189, June 2007. The original publication is available at springerlink.com from http://dx.doi.org/10.1007/s00165-007-0026-7 . Curtis Clifton and Gary T. Leavens . MiniMAO 1 : Investigating the Semantics of Proceed. Science of Computer Programming , 63(3):321-374, Elsevier , Dec. 2006. http://dx.doi.org/10.1016/j.scico.2006.02.009 . Gary T. Leavens. JML's Rich, Inherited Specifications for Behavioral Subtypes. In Zhiming Liu and He Jifeng (eds), Formal Methods and Software Engineering: 8th International Conference on Formal Engineering Methods (ICFEM) , Macao, China, pages 2-34. Volume 4260 of Lecture Notes in Computer Science , Springer-Verlag, 2006. The original publication is available at springerlink.com from http://dx.doi.org/10.1007/11901433_2 . Peter Mller , Arnd Poetzsch-Heffter , and Gary T. Leavens. Modular Invariants for Layered Object Structures. Science of Computer Programming , 62(3):253-286, Elsevier , Oct. 2006. http://dx.doi.org/10.1016/j.scico.2006.03.001 . Curtis Clifton , Todd Millstein , Gary T. Leavens, and Craig Chambers . MultiJava: Design Rationale, Compiler Implementation, and Applications. ACM TOPLAS , 28(3):517-575, May 2006. http://doi.acm.org/10.1145/1133651.1133655 . Gary T. Leavens, Yoonsik Cheon , Curtis Clifton Clyde Ruby , and David R. Cok. How the design of JML accommodates both runtime assertion checking and formal verification. Science of Computer Programming , 55(1-3):185-205, Elsevier , 2005. http://dx.doi.org/10.1016/j.scico.2004.05.015 . Lilian Burdy , Yoonsik Cheon , David R. Cok, Michael Ernst , Joseph Kiniry , Gary T. Leavens, K. Rustan M. Leino , and Erik Poll . An Overview of JML Tools and Applications. International Journal on Software Tools for Technology Transfer , 7(3):212-232, June 2005. The original publication is available at http://www.springerlink.com from http://dx.doi.org/10.1007/s10009-004-0167-4 . Yoonsik Cheon , Gary T. Leavens, Murali Sitaraman , and Stephen Edwards . Model Variables: Cleanly Supporting Abstraction in Design By Contract. Software, Practice & Experience , 35(6):583-599, Wiley, May, 2005. http://dx.doi.org/10.1002/spe.649 . Peter Mller , Arnd Poetzsch-Heffter , and Gary T. Leavens. Modular Specification of Frame Properties in JML. Concurrency and Computation: Practice and Experience , 15(2):117-154, February, 2003. http://dx.doi.org/10.1002/cpe.713 . Yoonsik Cheon and Gary T. Leavens. A Simple and Practical Approach to Unit Testing: The JML and JUnit Way. In Boris Magnusson (ed.), ECOOP 2002 -- Object-Oriented Programming, 16th European Conference, Malaga, Spain, June 2002, Proceedings. Volume 2374 of Lecture Notes in Computer Science , Springer-Verlag, 2002, pages 231-255. The original publication is available at springerlink.com from http://www.springerlink.com/content/2yjt7jdnduntpgwp/ . Clyde Ruby and Gary T. Leavens. Safely Creating Correct Subclasses without Seeing Superclass Code. In OOPSLA 2000 Conference Proceedings , pages 208-228. Volume 35, number 10 of ACM SIGPLAN Notices , October 2000. http://doi.acm.org/10.1145/353171.353186 . Gary T. Leavens and Don Pigozzi . A complete algebraic characterization of behavioral subtyping. Acta Informatica , 36(8):617-663, March 2000. The original publication is available at springerlink.com from http://dx.doi.org/10.1007/s002360050168 . Gary T. Leavens and Krishna Kishore Dhara. Concepts of Behavioral Subtyping and a Sketch of their Extension to Component-Based Systems. In Gary T. Leavens and Murali Sitaraman (editors), Foundations of Component-Based Systems , Cambridge University Press, 2000. Chapter 6, pages 113-135. [PDF] Gary T. Leavens and Albert L. Baker. Enhancing the Pre- and Postcondition Technique for More Expressive Specifications. In Jeannette M. Wing, James Woodcock, and Jim Davies (editors). FM'99 -- Formal Methods: World Congress on Formal Methods in Development of Computer Systems, Toulouse, France, September 1999 , pages 1087-1106. Volume 1709 of Lecture Notes in Computer Science , Springer-Verlag, 1999. The original publication is available at springerlink.com from http://www.springerlink.com/content/74v251avr98krlmw . Gary T. Leavens and Todd D. Millstein . Multiple Dispatch as Dispatch on Tuples. In OOPSLA '98 Proceedings , pages 374-387. Volume 33, number 10 of ACM SIGPLAN Notices , October 1998. http://doi.acm.org/10.1145/286936.286977 . Gary T. Leavens and Jeannette M. Wing . Protective Interface Specifications. Formal Aspects of Computing , 10(1):59-75, January 1998. The original publication is available at springerlink.com from http://dx.doi.org/10.1007/PL00003926 . Gary T. Leavens. An Overview of Larch/C++: Behavioral Specifications for C++ Modules. In Haim Kilov and William Harvey (editors), Specification of Behavioral Semantics in Object-Oriented Information Modeling ( Kluwer Academic Publishers , 1996), Chapter 8, pages 121-142. An extended and up-to-date version is Department of Computer Science, Iowa State University, TR #96-01d , revised July 1997. Krishna Kishore Dhara and Gary T. Leavens. Forcing Behavioral Subtyping Through Specification Inheritance. In Proceedings 18th International Conference on Software Engineering , Berlin, Germany, pages 258-267. IEEE, 1996. http://doi.ieeecomputersociety.org/10.1109/ICSE.1996.493421 . An extended and slightly revised version is Department of Computer Science, Iowa State University, TR #95-20c , August 1995, revised August and December 1995, March 1997. Gary T. Leavens and William E. Weihl. Specification and Verification of Object-Oriented Programs Using Supertype Abstraction. Acta Informatica , 32(8):705-778, November 1995. The original publication is available at springerlink.com from http://dx.doi.org/10.1007/BF01178658 . Kim B. Bruce , Luca Cardelli, Giuseppe Castagna, The Hopkins Objects Group , Gary T. Leavens, and Benjamin Pierce . On Binary Methods. Theory and Practice of Object Systems 1(3):221-242, 1995. Craig Chambers and Gary T. Leavens. Typechecking and Modules for Multimethods. ACM Transactions on Programming Languages and Systems , 17(6):805-843, November 1995. http://doi.acm.org/10.1145/218570.218571 . The longer version (with an appendix of formal proofs ) is Department of Computer Science, Iowa State University, TR #95-19, August 1995. [abstract] [postscript] Yoonsik Cheon and Gary T. Leavens. The Larch/Smalltalk Interface Specification Language. ACM Transactions on Software Engineering and Methodology , 3(3):221-253, July 1994. http://doi.acm.org/10.1145/196092.195325 . Gary T. Leavens, Modular Specification and Verification of Object-Oriented Programs. IEEE Software , 8(4):72-80, July, 1991. http://doi.ieeecomputersociety.org/10.1109/52.300040 . Gary T. Leavens and William E. Weihl. Reasoning about Object-Oriented Programs that use Subtypes (extended abstract). In OOPSLA ECOOP '90 Proceedings , pages 212-223 (Volume 25, number 10 of ACM SIGPLAN Notices , October 1990). http://doi.acm.org/10.1145/97945.97970 . For More Information See the following for more publications and other information. My research page, main.html Index of my other WWW pages, index.html Contact Information Gary T. Leavens University of Central Florida College of Engineering and Computer Science Dept. of Computer Science , 437D Harris Center (Building 116) 4000 Central Florida Blvd., Orlando , Florida 32816-2362 USA e-mail: leavens@cs.ucf.edu Phone: +1-407-823-4758 / fax: +1-407-823-1488 Last update $Date: 2018/11/29 19:37:30 $ diff --git a/src/data/compiled_bios/3356.txt b/src/data/compiled_bios/3356.txt new file mode 100644 index 0000000000..9fca331b9f --- /dev/null +++ b/src/data/compiled_bios/3356.txt @@ -0,0 +1 @@ + [pamspam] [pamspam] Pamela Wisniewski HOME ABOUT ME RESEARCH INTERESTS TEACHING GOALS PORTFOLIO PUBLICATIONS COURSES TAUGHT REFERENCES LATEST NEWS HOME Introductions Are in Order . . . *** Notice: This website is out-of-date. For an updated view of what I am currently doing, please go to my STIR Lab website. Thanks! *** Professionally My name is Pamela Wisniewski (pronounced WIZ-NES-KEY). I am currently an Assistant Professor at the University of Central Florida College of Engineering and Computer Science. Previously I was a Post Doctoral Researcher at Penn State University in the College of Information Sciences and Technology. I have a Ph.D. in Computing and Information Systems from the University of North Carolina at Charlotte . My dissertation research focused on interpersonal boundary regulation within online social networks, such as Facebook. My research interests include Human-Computer Interaction, Social Computing, Digital Youth, and Privacy. I have a Master of Science in Decision and Information Sciences from the University of Florida , and I have worked as a systems developer in the financial services and medical consulting fields, predominantly leveraging Microsoft technologies. Click here to download my Curriculum Vitae (Please email me for the most up-to-date version). Personally Call me Pam. I was born in Gainesville, Florida. Thats right, Im a native Gator. I am the youngest daughter with two sisters who are 7 and 18 years older than me. Growing up, I was a complete nerd who liked being at school more than I liked being at home. I am horrible at any kind of sports and, in fact, once told a co-worker that the only place I can catch or throw is in code. Yeah, I am that bad. I am a fiscal conservative and a social moderate who doesnt like to argue about politics. I am a non-denominational Christian and believe God has a grander plan for us all than the strife and conflict humans bring upon ourselves in the name of religion. I am married to my best friend, Mike. We met on Match.com. I love him so much I even took his insanely long last name (of which none of my students can pronounce). We got married on 8/8/08 and have since been learning the fine art of being married. In October 2014, we became parents to a beautiful little girl named Eva. Right now, our life is a crazy balancing act of me starting a new tenure-track position, raising Eva, and trying to get some sleep in-between. Some of our hobbies (when we had extra time) include camping, kayaking, hiking to waterfalls, home improvement, and traveling. So far we have gone on vacation to Italy, Greece, and Turkey (Eastern Mediterranean cruise for our honeymoon ), Alaska , Cozumel Mexico, Belize, Honduras, and Grand Caymen ( Caribbean cruise ). Mike traveled all over the world (but, of course, it doesnt count since I wasnt with him!) when he was an consultant/Solutions Architect for IBM and WindRiver Systems. However, a few years ago, he took time off from his successful career due to his health. We havent been able to travel much lately, but we hope to be able to again soon. Overall, we try to work hard, love one another, enjoy life, and do good. Comments are closed. Browse HOME RESEARCH INTERESTS TEACHING GOALS PUBLICATIONS COURSES TAUGHT REFERENCES Latest News Selected as a William T. Grant Early Career Scholar May 16, 2018 Most Teens Bounce Back December 6, 2017 Hey, Google and Facebook! July 27, 2017 Invitation to the Matt Townsend Show May 12, 2017 Two CSCW Papers Accepted November 21, 2016 Connect Copyright 2011 [pamspam] by Pamela Wisniewski | Design modified from Diamonds Designers | Powered by WordPress diff --git a/src/data/compiled_bios/3357.txt b/src/data/compiled_bios/3357.txt new file mode 100644 index 0000000000..d357d41b10 --- /dev/null +++ b/src/data/compiled_bios/3357.txt @@ -0,0 +1 @@ + Theophilus A. Benson Home Publications Software And Datasets Grants Outreach Projects CV CONTACT Email: tab [at] cs [dot] brown [dot] edu 115 Waterman St Providence, RI 02192 Google Scholar About Me I am an Assistant Professor in the Computer Science Department at Brown University. My research interests include solving practical networking and systems problems, with a focus on Software Defined Networking, data centers, clouds, and configuration management. In the past, I've conducted large scale measurement studies of data centers and enterprise networks; and I've developed several networked and distributed systems -- one of which was purchased in 2012. News Jan 2018 MUD IoT security work accepted at SoSR'19. Dec 2018 SCC accepted at EuroSYS'19. Dec 2018 Program Committee for SIGCOMM'19. Please Submit! Nov 2018 DeepConf accepted at NIP'18 Workshop on Learning for Systems. Sep 2018 P4Visor accepted at CoNEXT'18 (and CoNEXT'18 -- Student Workshop). Aug 2018 DeepConf awarded runner up at SIGCOMM NetAI'18 Workshop. Jun 2018 Google Faculty Research Awards (for work on improving Web Performance in Emerging Markets). Jun 2018 NSF Small Awarded for work on Data-driven Mobile Web Performance . May 2018 Two SIGCOMM'18 workshop papers! MP-HULA (Improving data center routing with P4). DeepConfig (Automatically managing data center topologies with DeepRL). May 2018 Noa and I are excited to announce that the ANCS 2018 Program is online!! We are looking forward to seeing you in Ithaca, NY! May 2018 Laurent and I are excited to announce that CoNEXT 2018 is going double blind! Abstract registration deadline is on June 15; full paper submission deadline on June 22. CFP is online! May 2018 Awarded NSF Career for work on Fault tolerant Networks May 2018 Our work on enriching MPTCP with in-network compute accepted at SIGCOMM NetCompute workshop. Stay tuned for the camera ready. Mar 2018 Presented an Google Web Performance Summit Mar 2018 Presented an invited talk at OFC on Data-driven approach to data center characterization! Slides can be found here Mar 2018 Received a Brown Salomon award! News here. Feb 2018 Our work on data driven analysis of video awarded an ANRP! News here Feb 2018 Attended NSF workshop on Self-Driving Networks!. Research Democratizing Mobile Web Performance Data-driven Protocol Optimizations [ ConfigTron, HotCloud'17 ] [ YVideo, IMC'16 ] Understanding Web Performance in Developing Regions [ IMC'16 ] Highly Available Next Generation Networks Fault Tolerant SDNs [ LegoSDN, SoSR'16 ] [ Chopin, APNet'17 ] Debugging and Diagnosis [ P4Visor, CoNEXT'18 ] [ Dapper, SoSR'17 ] [ Armageddon, HotNets'15 ] [ YTrace, arXiv ] [ Yahoo Data Centers, arXiv ] Dependable Hardware [ SCC, EuroSYS'19 ] [ Hermes, CoNEXT'17 ] [ Mecury, SoSR'17 ] [ SwitchVisor, CAN'17 ] Self Managing Networks: Machine Learning and Networks Self Configuring Data Centers [ DeepConfig, NetAI ] [ DeepConfig, NIPS MLSYS ] IoT Security [ IoT MUD, SoSR'19 ] [ IoT Vision, IoTSP'17 ] [ Pot2DPI, CoNEXT CAN'17 ] Software and Datasets Data Center Characteristics [IMC'2010]: data set LegoSDN (Fault Tolerant Controller) [SoSR'16]: source code Dapper (Data Plane diagnosis of TCP) [SoSR'17]: source code P4Visor [CoNEXT'18]: source code Hermes [CoNext'17]: Coming soon! Funding: Grants & Gifts Google Faculty Research Awards, 2018 - 2019. NSF CAREER: Bug Tolerant Networking: Enabling Highly-Available Network Infrastructures through Semantic Transformations. , 2018 - 2023. Democratizing Web Performance: Principled Measurements and Optimizations for Performance in Developing Regions , 2018 - 2019. NSF Medium:Towards Finer-Grained Cloud Computing. , 2014 - 2019. Facebook Faculty Award, 2015, 2016. Google Cloud Resource Usage Grant, 2015. Yahoo! FREP, 2014, 2015. Yahoo! ACE, 2014. 2014 Equipment Gift from Yahoo, 300 servers. Facebook Gift, 2014-2016. Duke Bass Connections, 2014. Selected publications ( full list ) Downloads : PDF Efficient and Safe Network Updates with Suffix Causal Consistency . Peng Zheng, Theophilus Benson, and Michael Reiter [Proceedings of EUROSYS, Dresden, Germany, Mar 2019] Downloads : PDF P4Visor: Lightweight Virtualization and Composition Primitives for Building and Testing Modular Programs . Peng Zheng, Theophilus Benson, and Chengchen Hu [Proceedings of CoNEXT, Crete, Greece, Dec 2018] [A workshop version appeared in CoNEXT 2018.] Downloads : PDF Hermes: Providing Tight Control over High-Performance SDN Switches . Huan Chen and Theophilus Benson [Proceedings of CoNEXT, Incheon, Korea, Dec 2017] [A workshop version appeared in SoSR 2016.] Downloads : PDF Dapper: Data Plane Performance Diagnosis of TCP . Mojgan Ghasemi, Theophilus Benson and Jennifer Rexford. [Proceedings of SoSR, Santa Clara, CA, April 2017] [A workshop version appeared in CoNext 2013] Downloads : PDF A View from the Other Side: Understanding Mobile Phone Characteristics in the Developing World . Sohaib Ahmad, Abdul Lateef Haamid, Zafar Ayyub Qazi, Zhenyu Zhou, Theophilus Benson and Ihsan Ayyub Qazi. Proceedings of IMC, Santa Monica, CA, Nov 2016 Downloads : PDF Performance Characterization of a Commercial Video Streaming Service . Mojgan Ghasemi, Partha Kanuparthy, Ahmed Mansy, Theophilus Benson and Jennifer Rexford. [Proceedings of IMC, Santa Monica, CA, Nov 2016] Downloads : PDF Tolerating SDN Application Failures with LegoSDN . Balakrishnan Chandrasekaran, Brendan Tschaen, and Theophilus Benson. [Proceedings of SoSR, California, US, Mar 2016] [A workshop version appeared in HotNets 2014.] Best Paper Downloads : PDF Network Traffic Characteristics of Data Centers in the Wild . Theophilus Benson, Aditya Akella and David Maltz [Proceedings of IMC, Melbourne, Australia, Nov 2010] Copyright Theophilus Benson 2016 css design: Thomas Park diff --git a/src/data/compiled_bios/3358.txt b/src/data/compiled_bios/3358.txt new file mode 100644 index 0000000000..7f15fa3dfb --- /dev/null +++ b/src/data/compiled_bios/3358.txt @@ -0,0 +1 @@ + Brown CS Brown University Ugur Change the Banner Sitemap Ugur Ugur Cetintemel Professor and Department Chair Computer Science Brown University Box 1910,115 Waterman Street Room 473, CIT building Providence, RI 02912 Voice: + 1 401 863 7601 Fax : + 1 401 863 7657 Research Brown Data Management Group Interests Data management Data science systems Distributed systems Projects DBPal: Conversational, Natural Language-based Interfaces for Databases Longview : Supporting and leveraging machine learning in modern data systems DBNav : Enabling interactive exploration of large datasets SciDB : Array-oriented DBMS for data-intensive science Tupleware : Next-gen analytics platform for data-intensive vis and machine learning Teaching CSCI 1951-I: CS for Social Change DATA 1030: Intro to Data and Computer Science CSCI 2950-T: Interacting with Big Data CSCI 1310: Fundamentals of Computer Systems Service University: Department Chair, Computer Science Executive Committee, Data Science Initiative Executive Committee, BIBS PC Co-Chair (Research): VLDB'12, DEBS'10 PC Area Vice-Chair (Streams, Sensors, CEP): ICDE'12, ICDE'08 General Co-Chair: SIGMOD'09 Associate Editor: VLDB Journal , Distributed and Parallel Databases PC Member: CIDR'13, SIGMOD'11, CIDR'11, VLDB'10, VLDB'09, ICDE'09, CIDR'09 Recent Articles (more complete list at dblp ) Machine Learning for Database Systems DBPal: A Learned Natural Language Interface for Database Systems (SIGMOD'18) Voice-based Data Exploration: Chatting with your Database (SCAI'17) Making the Case for Query-by-Voice with EchoQuery (SIGMOD16) Portable Workload Performance Prediction in the Cloud (ICDE'13) Learning-based Query Performance Modeling and Prediction (ICDE'12) Performance Prediction for Concurrent Database Workloads (SIGMOD'11) The Case for Predictive Database Systems: Opportunities and Challenges ( CIDR'11 ) Database Support for Continuous Prediction Queries over Streaming Data (PVLDB'10) Data Exploration Interactive Search and Exploration of Waveform Data with Searchlight (SIGMOD'16) Searchlight: Enabling Integrated Search and Exploration over Large Multidimensional Data (PVLDB'15) Interactive Data Exploration using Semantic Windows (SIGMOD'14) Query Steering for Interactive Data Exploration (CIDR'13) Modern Hardware for Database Systems Revisiting Reuse in Main Memory Database Systems (SIGMOD'17) SiliconDB: Rethinking DBMSs for Modern Heterogeneous Co-Processor Environments (DaMoN'17) An Architecture for Compiling UDF-centric Workflows ( PVLDB'15) Tupleware: "Big" Data, Big Analytics, Small Clusters (CIDR'15) Stream Processing S-Store: Streaming meets Transaction Processing (PVLDB'15) S-Store: A Streaming NewSQL System for Big Velocity Applications (PVLDB'14) C-MR: Continous Map-Reduce on Multi-Core Processors (MapReduce'12) Supporting Generic Cost-Models for Wide-Area Stream Processing ( ICDE'09 ) Towards a Streaming SQL Standard ( VLDB'08 ) Simultaneous Equation Systems for Query Processing on Continuous-Time Data Streams ( ICDE'08 ) Fast and Highly-Available Stream Processing over Wide-Area Networks ( ICDE'08 ) Report Abuse | Powered By Google Sites diff --git a/src/data/compiled_bios/3359.txt b/src/data/compiled_bios/3359.txt new file mode 100644 index 0000000000..d03d6253ac --- /dev/null +++ b/src/data/compiled_bios/3359.txt @@ -0,0 +1 @@ + Pages at this location are redirected to /people/echarnia . diff --git a/src/data/compiled_bios/336.txt b/src/data/compiled_bios/336.txt new file mode 100644 index 0000000000..55e9b55139 --- /dev/null +++ b/src/data/compiled_bios/336.txt @@ -0,0 +1 @@ +Name: Davis, Chris:: Position: Senior Lecturer (CS & CE):: Degrees: Ph.D., Computer Science, The University of Texas at Dallas,2011; M.S., Computer Science, The University of Texas at Dallas,2009; B.S., Computer Science, The University of Texas at Dallas, 2005; Research Interests: Artificial Intelligence; Machine Learning; Computational Linguistics; Assistive Technologies; Human Augmentation, Prosthetics, and Personal Robotics; RepresentativePublications: ; Chris Irwin Davis, Tajik-Farsi Persian Transliteration Using Statistical Machine Translation, In Proceedings of Language Resources and Evaluation Conference (LREC) 2012, Istanbul, Turkey, 2012.; ; ; Chris Irwin Davis, A Framework for Representing Event Semantics in Modern Persian, Ph.D. Dissertation, The University of Texas at Dallas, 2011.; ; ; Chris Irwin Davis, A Framework for Representing Event Semantics of Verb Word Senses, In Proceedings of Interdisciplinary Workshop on Verbs. Pisa, Italy, 2010.; ; ; Chris Irwin Davis and Dan Moldovan, Feasibility of Boostrapping a Persian WordNet, In Proceedings of Language Resources and Evaluation Conference (LREC), Valletta, Malta, 2010.; ; ; Olteanu, C. Davis, I. Volosen, and D. Moldovan, Phramer an open source statistical phrase-based translator. In Proceedings on the Workshop on Statistical Machine Translation, pages 146-149, Association for Computational Linguistics, New York City, June 2006.; ; Notable Service: UTDesign Faculty Advisor; CICLing conference Secondary Reviewer; ACL Journal Special Edition Secondary Reviewer; Member of Problem Development Committee of North American Computational Linguistics Olympiad (NACLO); diff --git a/src/data/compiled_bios/3360.txt b/src/data/compiled_bios/3360.txt new file mode 100644 index 0000000000..c4c8c0632d --- /dev/null +++ b/src/data/compiled_bios/3360.txt @@ -0,0 +1 @@ + Rodrigo Fonseca Top News Teaching Research Students Publications Service Personal email rfonseca@cs.brown.edu office 329, CIT Building. Office hours by appointment. mail Box 1910, Brown University 115 Waterman St Providence , RI 02912 phone 401-863-6533 (voice) 401-863-7657 (fax) DBLP Google Scholar MSFT Academic Search About I am an associate professor at Brown University 's Computer Science Department . My work revolves around distributed systems, networking, and operating systems. Broadly, I am interested in understanding the behavior of systems with many components for enabling new functionality, and making sure they work as they should. In particular, I'm interested in how to build, operate, and diagnose large scale Internet systems; and in networking and power management in embedded distributed systems such as sensor networks. News May-2016 cDVD, on fair bandwidth allocation for competing DASH video streams, accepted at Internet-QoE 2016! Apr-2016 2DFQ accepted to Sigcomm 2016, which will be in Brazi! Apr-2016 Teaching Networking in the Fall! Apr-2016 NetEx [pdf] , our architecture for a network marketplace inside of a datacenter, accepted for HotCloud ! Feb-2016 Teaching Distributed Systems with Tom Doeppner Jan-2016 Yak, joint work with my student Jeff Rasley and Microsoft, accepted into Eurosys 2016! Oct-2015 Pivot Tracing gets best paper award at SOSP! Oct-2015 Presented "We are Tracing like it's 1973" [ pptx ] at the Open Zipkin workshop in San Francisco Sep-2015 Presented ' We are Losing Tack: a Case for Causal Metadata in Distributed Systems ' at the 16th Asilomar HPTS May-2015 Good Summer looking ahead: Jeff and Jonathan will have internships at Microsoft Research, Da will go to HP Labs May-2015 Jonathan will be presenting our work "Retro: Targeted Resource Management in Multi-tenant Distributed Systems" at NSDI 2015 ! This is join work with Peter Bodik and Madan Musuvathi from Microsoft Research. Apr-2015 Our paper "Simon: Scriptable Interactive Monitoring for SDNs", accepted at SOSR'15 ! Joint work with Da Yu , Yiming Li, Tim Nelson , and Shriram Krishnamurthi . Apr-2015 Our paper "Exodus: Toward Automatic Migration of Enterprise Network Configurations to SDNs" accepted at SOSR'15 ! Joint work with Tim Nelson , Andrew Ferguson, and Shriram Krishnamurthi . Apr-2015 Marcelo 's paper "Selectively Taming Background Android Apps to Improve Battery Lifetime" accepted at USENIX ATC, joint work with Justin Cappos . Mar-2015 Won an NSF CAREER Award on "Understanding the Performance of Distributed Systems Through Causal Tracing" Feb-2015 Teaching CS-138 Distributed Systems with Tom Doeppner. Oct-2014 Co-organizing the first New England Networking and Systems Day , Oct 24th, at the Hariri Institute at BU. We will gather more than 90 participants with many talks, posters, and much discussion time. Sep-2014 I recently documented (in Portuguese) an attack to a bank website in Brazil that got some media attention Sep-2014 The Brown-Brazil Initiative is hosting my former advisor Prof. Virgilio Almeida for the innaugural talk of the Fall Lecture Series. Sep-2014 Our paper " Towards General-Purpose Resource Management in Shared Cloud Services " (with my PhD student Jon Mace , Peter Bodik , and Madan Musuvathi ) was accepted for publication at HotDep'14, the 10th Workshop on Hot Topics in System Dependability! Sep-2014 Teaching Computer Networks this fall! Aug-2014 Jeff Rasley successfully presented "Planck: Millisecond-scale Monitoring and Control for Commodity Networks" at Sigcomm 2014. Apr-2014 Our paper "Planck: Millisecond-scale Monitoring and Control for Commodity Networks" was accepted for publication at Sigcomm 2014. See you in Chicago! Apr-2014 Very proud of my first minted PhD student, Andrew Ferguson . Congrats, Andrew! Mar-2014 Jeff Rasley will be interning at VMWare, and Marcelo at Intel. Feb-2014 Teaching Advanced Networking as a special topics class, focusing on Datacenter Networking and SDNs. Jan-2014 I'll be part of the Program Committees for Sigcomm 2014 and IMC 2014! Dec-2013 I'm part of the Program Committee for HotMobile 2014! July-2013 NSF NeTS Grant on Participatory Networking, to advance SDNs northbound APIs! July-2013 Our paper "Growth Analysis of a Large ISP" was accepted at IMC ! May-2013 Highly successful internship season for students! Andrew is going to the SDN group at Google (with Amin Vahdat), Jeff is going to IBM Research in Austin (with Collin Dixon), Jonathan is going to MSR Redmond (with Peter Bodik)! Apr-2013 We are going to Sigcomm 2013 to present our paper on Participatory Networking ! Congrats to Andrew Ferguson, Arjun Guha, Chen Liang, and Shriram Krishnamurthi! Apr-2013 Chen Liang accepted as a PhD student at Duke University! Congrats, Chen! Jan-2013 Teaching Advanced Networking as a special topics class, focusing on Datacenter Networking and SDNs. Dec-2012 Our paper "Application Modes" accepted for publication at HotMobile 2013 ! Sep-2012 Big welcome to Jeff Rasley (new PhD student), Jonathan Mace (new advisee), and Matheus Caldas (visiting PhD student from UFMG, Brazil)! Sep-2012 Teaching CS168, Computer Networks this spring. Jul-2012 Spending the summer at MSR Redmond, with Victor Balh's group Jul-2012 Our paper PARMA: A Parallel Randomized Algorithm for Approximate Association Rule Mining in MapReduce accepted at CIKM 2012! Jun-2012 Program Committee Member for NSDI'13! May-2012 Our paper Hierarchical Policies for Software Defined Networks accepted for publication at the HotSDN 2012 workshop, co-held with Sigcomm 2012! Apr-2012 Nathan's paper C-MR: Continuously Executing MapReduce Workflows on Multi-Core Processors accepted for publication at the MAPREDUCE 2012 workshop! Apr-2012 Andrew presented Jockey: Guaranteed Job Latency in Data Parallel Clusters at Eurosys 2012 . Work with Srikanth Kandula and Peter Bodk from Microsoft Research. Mar-2012 Our paper Participatory Networking accepted for publication at HotICE'12 , co-held with NSDI'12. Mar-2012 External Review Committee Member for OSDI 2012! Feb-2012 Google funds research on distributed tracing! Sep-2011 Teaching CSCI2950-U in Fall 2011, focusing on Large-scale data intensive computing Jul-2011 I will be co-chairing HotClouds'12 with Dave Maltz, from MSR! May-2011 Solomon Award from Brown University to work on energy managdtent in Wireless Sensor Networks! Sep-2010 NSF funds research on security in Cloud Computing . Jun-2010 Program committee for NSDI'11 ! Jun-2010 Intel funds research on 'Whole-platform Energy Usage of Software Activities' Jun-2010 Andrew's poster on block placdtent in Hadoop accepted at the USENIX ATC May-2010 Teaching CSCI1680 'Computer Networks' in Spring 2011 May-2010 Teaching CSCI2950-U 'Special Topics on Networking and Distributed Systdts' in Fall 2010 Apr-2010 Experiences with X-Trace paper presented on INM/WREN 2010 More... Teaching Fall 2016 CSCI1680 Computer Networks . Previous: F'14 , F'12 , S'12 , S'11 Spring 2016 CSCI1380 Distributed Systems . Previous: S'15 Spring 2014 CSCI2950-U Advanced Networking: SDNs and Datacenter Networking . Previous: S'13 , F'11 , F'10 , F'09 Research Projects Participatory Networking The PANE project aims to allow end-user applications to help in the configuration of a network. PANE is both a paradigm and a prototype SDN controller that solves the problem of privilege delegation and conflict resolution when unprivileged users are given read and write access to network services, configuration, and state. Read more... Mobile Device Energy We are interested in improving the battery life of mobile devices. Today's mobile devices' need for energy far surpasses their battery capacity to allow for unrestricted use and long battery life. Users must prioritize their usage to avoid running out of battery. However, for a user to do this efficiently is almost impossible: it requires knowledge of the energy and power characteristics of the applications and of the hardware components of the particular phone. This leads to a poor experience and to frustration. We propose an OS abstraction, Application Modes, that allow applications and the OS to collaborate in exposing to the user only what she cares about and understands: the tradeoff between battery lifetime and functionality. Read our HotMobile paper for an introduction to our approach. Tracing Distributed Systems Distributed systems are growing ever more complex, spanning many layers of abstraction, machines, and administrative domains, and integrating code written, deployed, and operated by different people. In these scenarios it becomes increasingly difficult to understand how a system behaves, and, especially, how and why it fails. Causal tracing is a technique that captures the causality of events across all of these components, layers, and machines, and eases the task of understanding complex distributed systems. There are a multitude of causal tracing systems and frameworks, including many research and industry projects. Examples include our own X-Trace project [ GitHub ], as well as systems such as Google's Dapper, Twitter's Zipkin, and Cloudera's HTrace. We are interested in how to extract information from both complex individual traces and across traces, to identify root causes of problems, detect unexpected anomalies, and make tracing more efficient, by biasing trace sampling and detail capture to maximize trace information on a fixed performance budget. Older Projects Quanto Fine-grained tracking of energy usage in wireless sensor networks, Quanto determines which applications used how much energy on each hardware component, even for applications that span multiple network nodes. Collection Tree Protocol Robust all-to-few routing in wireless sensor networks, CTP is de-facto routing protocol for TinyOS 2.x, and formed the basis for IETF's RPL (Routing over Low Power and lossy networks) - RFC 6550 . Beacon Vector Routing BVR is an anchor-based pseudo-geographical any-to-any routing protocol for wireless sensor networks. Students I am really very fortunate to work with an amazing set of students! Graduate Students Marcelo Martins (PhD) Jeff Rasley (PhD) Jonathan Mace (PhD) Da Yu (PhD) Nicholas DeMarinis (PhD) Alumni Andrew D. Ferguson - PhD 2014 Policy Delegation and Migration for Software-Defined Networks . Now at Google. Junyang Chen - ScM 2016 George Hongkai Sun - ScM 2016 Wilson Cusack - AB 2016 - Honors Rui Zhou - ScM 2014 Datacenter Network Large Flow Detection and Scheduling from the Edge . Now at Google. Jonathan Leavitt - ScB 2014. Honors Thesis: End-to-End Tracing Models: Analysis and Unification. Now at Google. Matheus Caldas (Visiting PhD from UFMG ) Chen Liang - ScM 2013, now a PhD student at Duke. ScM Project: Software Defined Network Support for Real Distributed Systems Basil Crow - ScM 2012, now at Delphix. Thesis: Time and Energy Profiling in Production Sensor Networks with Quanto Sunil Mallya - ScM 2011, co-founder at Neon Labs . Thesis: Entracker: Energy Tracker for Homes Jake Eakle (ScM 2011), now at Teespring. Sandy Ryza - ScB 2012, now at Cloudera. Honors Thesis: Solving Hard Problems with Lots of Computers Walter Blaurock - ScB 2011, now at Next Big Sound. Project: Automatic Scaling of Cloud-Based Web Applications Selected Publications All Publications . . , ( ) , pp. , In , pp. , , (Eds.), , , . ISBN: . [ BibTex ] [ pdf ] [ talk ] [ video ] [ doi ] Jonathan Mace , Peter Bodik , Madanlal Musuvathi , Rodrigo Fonseca , and Krishnan Varadarajan . 2DFQ: Two-Dimensional Fair Queueing for Multi-Tenant Cloud Services . In Proceedings of the ACM SIGCOMM Conference , Florianopolis, Brazil August 2016 . [ BibTex ] @inproceedings{mace16-2dfq, Address = {Florianopolis, Brazil}, Author = {Jonathan Mace and Peter Bodik and Madanlal Musuvathi and Rodrigo Fonseca and Krishnan Varadarajan}, Booktitle = {Proceedings of the ACM SIGCOMM Conference}, Month = {August}, Title = {{2DFQ: Two-Dimensional Fair Queueing for Multi-Tenant Cloud Services}}, Year = {2016} } Rasley, Jeff , Konstantinos Karanasos , Srikanth Kandula , Rodrigo Fonseca , Milan Vojnovic , and Sriram Rao . Efficient Queue Management for Cluster Scheduling . In Proceedings of the 2016 European Conference on Computer Systems (EuroSys '16) , London, UK April 2016 . [ BibTex ] [ pdf ] @inproceedings{rasley16yak, Address = {London, UK}, Author = {Jeff Rasley and Konstantinos Karanasos and Srikanth Kandula and Rodrigo Fonseca and Milan Vojnovic and Sriram Rao}, Booktitle = {Proceedings of the 2016 European Conference on Computer Systems (EuroSys '16)}, Month = {April}, Title = {Efficient Queue Management for Cluster Scheduling}, Year = {2016}, Url = {http://www.cs.brown.edu/~rfonseca/pubs/rasley16yak.pdf}, } Jonathan Mace , Ryan Roelke , and Rodrigo Fonseca . Pivot Tracing: Dynamic Causal Monitoring for Distributed Systems . In Proceedings of the 25th ACM Symposium on Operating Systems Principles (SOSP) , ACM Press , October 2015 . [ BibTex ] [ pdf ] @inproceedings{mace15pivot, Author = {Jonathan Mace and Ryan Roelke and Rodrigo Fonseca}, Booktitle = {{Proceedings of the 25th ACM Symposium on Operating Systems Principles (SOSP)}}, Month = {October}, Publisher = {ACM Press}, Title = {Pivot Tracing: Dynamic Causal Monitoring for Distributed Systems}, Year = {2015}, Url = {http://www.cs.brown.edu/~rfonseca/pubs/mace15pivot.pdf}, } Marcelo Martins , Justin Cappos , and Rodrigo Fonseca . Selectively Taming Background Android Apps to Improve Battery Lifetime . In Proceedings of the USENIX Annual Technical Conference (ATC 2015) , USENIX Association , July 2015 . [ BibTex ] [ pdf ] @inproceedings{martins15tamer, Author = {Marcelo Martins and Justin Cappos and Rodrigo Fonseca}, Booktitle = {{Proceedings of the USENIX Annual Technical Conference (ATC 2015)}}, Month = {July}, Publisher = {USENIX Association}, Title = {Selectively Taming Background Android Apps to Improve Battery Lifetime}, Year = {2015}, Url = {http://www.cs.brown.edu/~rfonseca/pubs/martins15tamer.pdf}, } Tim Nelson , Da Yu , Yiming Li , Rodrigo Fonseca , and Shriram Krishnamurthi . Simon: Scriptable Interactive Monitoring for SDNs . In Proceedings of the 1st ACM Sigcomm Symposium on SDN Research (SOSR) , ACM , June 2015 . [ BibTex ] [ pdf ] @inproceedings{nelson15simon, Author = {Tim Nelson and Da Yu and Yiming Li and Rodrigo Fonseca and Shriram Krishnamurthi }, Booktitle = {{Proceedings of the 1st ACM Sigcomm Symposium on SDN Research (SOSR)}}, Month = {June}, Publisher = {ACM}, Title = {Simon: Scriptable Interactive Monitoring for SDNs}, Url = {http://www.cs.brown.edu/~rfonseca/pubs/nelson15simon.pdf}, Year = {2015}, } Jonathan Mace , Peter Bodik , Madanlal Musuvathi , and Rodrigo Fonseca . Retro: Targeted Resource Management in Multi-tenant Distributed Systems . In NSDI '15: Proceedings of the 12th USENIX Symposium on Networked Systems Design and Implementation , May 2015 . [ BibTex ] [ pdf ] @inproceedings{mace15retro, Author = {Jonathan Mace and Peter Bodik and Madanlal Musuvathi and Rodrigo Fonseca}, Booktitle = {{NSDI '15: Proceedings of the 12th USENIX Symposium on Networked Systems Design and Implementation}}, Month = {May}, Organization = {USENIX Association}, Title = {Retro: Targeted Resource Management in Multi-tenant Distributed Systems}, Year = {2015}, Url = {http://www.cs.brown.edu/~rfonseca/pubs/mace15retro.pdf}, } Rasley, Jeff , Stephens, Brent , Dixon, Colin , Rozner, Eric , Felter, Wes , Agarwal, Kanak , Carter, John , and Rodrigo Fonseca . Planck: Millisecond-scale Monitoring and Control for Commodity Networks . In Proceedings of the 2014 ACM Conference on SIGCOMM , pp. 407--418 , SIGCOMM '14 , ACM , New York, NY, USA 2014 . ISBN: 978-1-4503-2836-4 . [ BibTex ] [ pdf ] [ doi ] @inproceedings{rasley14planck, Address = {New York, NY, USA}, Author = {Rasley, Jeff and Stephens, Brent and Dixon, Colin and Rozner, Eric and Felter, Wes and Agarwal, Kanak and Carter, John and Fonseca, Rodrigo}, Booktitle = {Proceedings of the 2014 ACM Conference on SIGCOMM}, Doi = {10.1145/2619239.2626310}, Isbn = {978-1-4503-2836-4}, Keywords = {networking measurement, software-defined networking, traffic engineering}, Location = {Chicago, Illinois, USA}, Numpages = {12}, Pages = {407--418}, Publisher = {ACM}, Series = {SIGCOMM '14}, Title = {Planck: Millisecond-scale Monitoring and Control for Commodity Networks}, Url = {http://www.cs.brown.edu/~rfonseca/pubs/rasley14planck.pdf}, Year = {2014} } Andrew D. Ferguson , Arjun Guha , Chen Liang , Rodrigo Fonseca , and Shriram Krishnamurthi . Participatory Networking: An API for Application Control in SDNs . In Proceedings of ACM SIGCOMM 2013 , August 2013 . [ BibTex ] [ pdf ] @inproceedings{ferguson13participatory, Author = {Andrew D. Ferguson and Arjun Guha and Chen Liang and Rodrigo Fonseca and Shriram Krishnamurthi}, Booktitle = {ACM SIGCOMM 2013}, Month = {August}, Title = {Participatory Networking: An API for Application Control in SDNs}, Year = {2013}, url = {http://www.cs.brown.edu/~rfonseca/pubs/sigcomm13.pdf} } Rodrigo Fonseca , Prabal Dutta , Philip Levis , and Ion Stoica . Quanto: Tracking energy in networked embedded systems . In Proceedings of the 8th USENIX Symposium on Operating Systems Design and Implementation (OSDI'08) , pp. 323--338 , December 2008 . [ BibTex ] [ pdf ] @inproceedings{fonseca08quanto, title={Quanto: Tracking Energy in Networked Embedded Systems}, author={Rodrigo Fonseca and Prabal Dutta and Philip Levis and Ion Stoica}, booktitle = "Proceedings of the 8th USENIX Symposium on Operating Systems Design and Implementation (OSDI'08)", pages={323--338}, year={2008}, month={December}, url = {http://www.cs.brown.edu/~rfonseca/pubs/osdi08-quanto.pdf}, } Rodrigo Fonseca . Improving Visibility of Distributed Systems through Execution Tracing . PhD Thesis, EECS Department, University of California, Berkeley, Dec 2008 . [ BibTex ] [ pdf ] @phdthesis{fonseca08diss, Author = {Rodrigo Fonseca}, Month = {Dec}, Number = {UCB/EECS-2008-167}, School = {EECS Department, University of California, Berkeley}, Title = {Improving Visibility of Distributed Systems through Execution Tracing}, Year = {2008}, Url = {http://www.eecs.berkeley.edu/Pubs/TechRpts/2008/EECS-2008-167.pdf}, } Rodrigo Fonseca , Virgilio Almeida , and Mark Crovella . Locality in a Web of Streams . Communications of the ACM , 48 , pp. 82-88 , January 2005 . [ BibTex ] [ pdf ] [ doi ] @article{localityCacm, title="Locality in a Web of Streams", author="Rodrigo Fonseca and Virgilio Almeida and Mark Crovella", journal="Communications of the ACM", volume="48", month="January", year="2005", pages="82-88", url = "http://www.cs.brown.edu/~rfonseca/pubs/acmcomm05.pdf", doi = "http://dx.doi.org/10.1145/1039539.1039543" } 1 selected 51 (missing this field) 1 no 11 yes Professional Activities Conference Organization 2015 Co-Organizer, 2nd New England Networking and Systems Day 2014 Co-Organizer, 1st New England Networking and Systems Day Doctoral Symposium, IC2E 2014 2012 Program Co-Chair: HotCloud'12 Technical Program Committee 2016 Eurosys'16, USENIX ATC'16, NSDI'16, SBRC'16 2015 SBRC'15, DCOSS'15, NSDI'15, HotCloud'15, DSN'15 2014 SIGCOMM'14 PC, IMC'14 PC, HotMobile 2014, Eurosys'14 Ext. Review Committee 2013 NSDI'13 PC, TRIOS, SOCC'13 2012 OSDI'12 Ext. Review Committee, Middleware'12, HotDep'12, MAD'12, IGCC'12, DSN'12 2011 NSDI'11, DSN'11, CoNEXT'11, HotPower'11, HotCloud'11, NetDB'11 2010 ... Personal You can find some of my photography at 500px . I almost never tweet as @rodrigo_fonseca . You can also find me on Google+ . My wife Paula runs an amazing party design business, Festiva Party Design , check it out! Back to top Template and css from Twitter bootstrap. Publications list automatically generated from BibTeX using Exhibit . diff --git a/src/data/compiled_bios/3361.txt b/src/data/compiled_bios/3361.txt new file mode 100644 index 0000000000..7d75a2797d --- /dev/null +++ b/src/data/compiled_bios/3361.txt @@ -0,0 +1 @@ + SEARCH About Brown Academics Admission Research Campus Life Information for: Current Students Faculty Staff Families Alumni Friends & Neighbors A to Z Index People Directory Social@Brown Facebook Twitter LinkedIn Google+ Computer Science About AbouttheDepartment Contact Directions Partners Rooms Systems&Software Conduit Diversity Positions News Events Blog People OurCommunity Faculty Staff GradStudents UgradStudents Alums Directory Research ResearchLinks Areas Publications Degrees DegreePrograms Doctoral Masters Undergrad Executive Interdisciplinary Miscellaneous Courses CourseList Schedule Sections TAProgram Diversity Diversity&Inclusion WhoWeAre Resources ActionPlan&Initiatives StudentAdvocates DataAndDemographics StudentGroups Giving UTAEndowment Home People Faculty Roles Recent Accomplishments By Brown CS Faculty Amy R Greenwald Professor of Computer Science Office: CIT 383 Phone: 401-863-7678 Email: amy @@ @cs.brown.edu Assistant: Lori Agresti Research Areas: Artificial Intelligence, Machine Learning, Reinforcement Learning, Algorithmic Game Theory Publications by Amy R Greenwald Home Page In our increasingly networked world, fewer and fewer decisions can be made in isolation. Consequently, AI agents "artificially intelligent, programmed decision-makers" must cooperate, compete, and trade with other agents, both human and artificial. This trend drives Amy Greenwald's twin research goals: first, the effort to design and implement AI agents that interact effectively in multiagent environments; second, the effort to understand, explain, and accurately predict the dynamics of such interactions. In pursuing these goals, Prof. Greenwald draws from theoretical and practical sources, including a variety of disciplines such as AI, decision theory, game theory, and economics. Computer Science at Brown University Providence, Rhode Island 02912 USA Phone: 401-863-7600 Map & Directions / Contact Us Sign In diff --git a/src/data/compiled_bios/3362.txt b/src/data/compiled_bios/3362.txt new file mode 100644 index 0000000000..b66bf08b48 --- /dev/null +++ b/src/data/compiled_bios/3362.txt @@ -0,0 +1 @@ + Maurice Herlihy An Wang Professor of Computer Science mph@cs.brown.edu CIT 341 Bio Maurice Herlihy has an A.B. in Mathematics from Harvard University, and a Ph.D. in Computer Science from M.I.T. He has served on the faculty of Carnegie Mellon University and the staff of DEC Cambridge Research Lab. He is the recipient of the 2003 Dijkstra Prize in Distributed Computing, the 2004 Gdel Prize in theoretical computer science, the 2008 ISCA influential paper award, the 2012 Edsger W. Dijkstra Prize, and the 2013 Wallace McDowell award. He received a 2012 Fulbright Distinguished Chair in the Natural Sciences and Engineering Lecturing Fellowship, and he is fellow of the ACM, a fellow of the National Academy of Inventors, the National Academy of Engineering, and the National Academy of Arts and Sciences. CV ACM author profile Google Scholar Profile Selected Talks PODC 2017 Keynote: Blockchains and the Future of Distributed Computing . CCS2952 A Blockchains and Cryptocurrencies CS176: Multiprocessor Synchronization 2011 course on Combinatorial Topology and Distributed Computing (YouTube) 2011 Fulbright Distinguished Chair lecture (YouTube) 2004 Gdel Prize lecture (slides) Books The Art of Multiprocessor Programming ( Course slides ) Distributed Computing Through Combinatorial Topology ( Course slides ) diff --git a/src/data/compiled_bios/3363.txt b/src/data/compiled_bios/3363.txt new file mode 100644 index 0000000000..022afc701c --- /dev/null +++ b/src/data/compiled_bios/3363.txt @@ -0,0 +1 @@ + Jeff Huang Brown University home@jeffhuang.com JeffHuang BrownUniversity 407 CIT 115 Waterman Street Providence RI 02912 401-863-5808 home@jeffhuang.com Schedule an ad-hoc meeting I'm an Assistant Professor in Computer Science at Brown University. My research areas span human-computer interaction and information retrieval, across the domains of mobile devices, self-tracking, games, and web search. My work involves decoding users' behavioral data to drive novel applications. My Ph.D. is in Information Science from the University of Washington in Seattle, and my masters and undergraduate degrees are in Computer Science from the University of Illinois at Urbana-Champaign (UIUC). Before joining Brown, I analyzed search behavior at Microsoft Research, Google, Yahoo, and Bing. I was a Facebook Fellow and received a Google Research Award. I co-founded World Blender, a Techstars-backed company that makes geolocation mobile games. My research group is currently funded by NSF and NIH, including the NSF CAREER award. Brown University students interested in doing research work with me should review my HCI group's active projects and read this page about the research experience and expectations . Contact me with some information about your interests. You can find me on the popular social networking platform called email. Recent News May 2018 Farewell and congratulations to Sachin Pendse and Lucy van Kleunen who have been accepted to Ph.D. programs at Georgia Tech and the University of Colorado respectively. Jun 2017 I'll be serving as a Program Chair for the CHIIR 2018 conference in New Jersey, and the HCI Track Chair for SIGIR 2018 in Ann Arbor. Feb 2017 Congratulations to my Ph.D. student Alexandra for landing her dream position as Assistant Professor at Pomona College! Sep 2016 Welcome Jing Qian, a designer with an MFA from UPenn, as a new Ph.D. student to our research group. Jun 2016 Bought the Bannister House from Brown University as part of the Brown to Brown Home Ownership program. Jan 2016 Excited to receive the NSF CAREER Award to start a project on Modeling User Touch and Motion Behaviors for Adaptive Interfaces in Mobile Devices. Conference Papers Evaluating Pan and Zoom Timelines and Sliders Michail Schwab, Sicheng Hao, Olga Vitek, James Tompkin, Jeff Huang, Michelle Borkin CHI 2019 Rewind: Automatically Reconstructing Everyday Memories with First-Person Perspectives Neille-Ann Tan, Han Sha, Eda Celen, Phucanh Tran, Kelly Wang, Gifford Cheung, Philip Hinch, Jeff Huang UbiComp 2019 Investigating the Effectiveness of Cohort-Based Sleep Recommendations Nediyana Daskalova, Bongshin Lee, Jeff Huang, Chester Ni, Jessica Lundin UbiComp 2018 (27.9% acceptance rate) SEEDE: Simultaneous Execution and Editing in a Development Environment Steven Reiss, Qi Xin, Jeff Huang ASE 2018 (20% acceptance rate) Remotion: A Motion-Based Capture and Replay Platform of Mobile Device Interaction for Remote Usability Testing Jing Qian, Arielle Chapin, Alexandra Papoutsaki, Fumeng Yang, Klaas Nelissen, Jeff Huang UbiComp 2018 (27.9% acceptance rate) The Eye of the Typer: A Benchmark and Analysis of Gaze Behavior during Typing Alexandra Papoutsaki, Aaron Gokaslan, James Tompkin, Yuze He, Jeff Huang ETRA 2018 (34% acceptance rate) Lessons Learned from Two Cohorts of Personal Informatics Self-Experiments Nediyana Daskalova, Karthik Desingh, Alexandra Papoutsaki, Diane Schulze, Han Sha, Jeff Huang UbiComp 2017 (24.9% acceptance rate) Drafty: Enlisting Users to be Editors who Maintain Structured Data Shaun Wallace, Lucy van Kleunen, Marianne Aubin-Le Quere, Abraham Peterkin, Yirui Huang, Jeff Huang HCOMP 2017 (28.9% acceptance rate) SearchGazer: Webcam Eye Tracking for Remote Studies of Web Search Alexandra Papoutsaki, James Laskey, Jeff Huang CHIIR 2017 (42% acceptance rate, Best Paper Finalist) SleepCoacher: A Personalized Automated Self-Experimentation System for Sleep Recommendations Nediyana Daskalova, Dana Metaxa-Kakavouli, Adrienne Tran, Nicole Nugent, Julie Boergers, John McGeary, Jeff Huang UIST 2016 (20.6% acceptance rate) WebGazer: Scalable Webcam Eye Tracking Using User Interactions Alexandra Papoutsaki, Patsorn Sangkloy, James Laskey, Nediyana Daskalova, Jeff Huang, James Hays IJCAI 2016 (25% acceptance rate) Crowdsourcing from Scratch: A Pragmatic Experiment in Data Collection by Novice Requesters Alexandra Papoutsaki, Hua Guo, Danae Metaxa-Kakavouli, Connor Gramazio, Jeff Rasley, Wenting Xie, Guan Wang, Jeff Huang HCOMP 2015 (30% acceptance rate, Best Paper Finalist) Masters of Control: Behavioral Patterns of Simultaneous Unit Group Manipulation in StarCraft 2 Eddie Yan, Jeff Huang, Gifford Cheung CHI 2015 (23% acceptance rate) A Strategy-Aware Technique for Learning Behaviors from Discrete Human Feedback Robert Loftin, James MacGlashan, Bei Peng, Matthew Taylor, Michael Littman, Jeff Huang, David Roberts AAAI 2014 (28% acceptance rate) Mastering the Art of War: How Patterns of Gameplay Influence Skill in Halo Jeff Huang, Thomas Zimmermann, Nachiappan Nagappan, Charles Harrison, Bruce Phillips CHI 2013 (20% acceptance rate, Best Paper Finalist) RevMiner: An Extractive Interface for Navigating Reviews on a Smartphone Jeff Huang, Oren Etzioni, Luke Zettlemoyer, Kevin Clark, Christian Lee UIST 2012 (21.5% acceptance rate) Improving Searcher Models Using Mouse Cursor Activity Jeff Huang, Ryen W. White, Georg Buscher, Kuansan Wang SIGIR 2012 (20% acceptance rate) User See, User Point: Gaze and Cursor Alignment in Web Search Jeff Huang, Ryen W. White, Georg Buscher CHI 2012 (23% acceptance rate) No Search Result Left Behind: Branching Behavior with Browser Tabs Jeff Huang, Thomas Lin, Ryen W. White WSDM 2012 (20.7% acceptance rate) Large-Scale Analysis of Individual and Task Differences in Search Result Page Examination Strategies Georg Buscher, Ryen W. White, Susan T. Dumais, Jeff Huang WSDM 2012 (20.7% acceptance rate) Remix and Play: Lessons from Rule Variants in Texas Hold'em and Halo 2 Gifford Cheung and Jeff Huang CSCW 2012 (39% acceptance rate) Interactive Search Support for Difficult Web Queries Abdigani Diriye, Giridhar Kumaran, Jeff Huang ECIR 2012 (21% acceptance rate) No Clicks, No Problem: Using Cursor Movements to Understand and Improve Search Jeff Huang, Ryen W. White, and Susan T. Dumais CHI 2011 (26% acceptance rate, Best Paper Finalist) Starcraft from the Stands: Understanding the Game Spectator Gifford Cheung and Jeff Huang CHI 2011 (26% acceptance rate) Optimal Strategies for Reviewing Search Results Jeff Huang and Anna Kazeykina AAAI 2010 (26.9% acceptance rate) Assessing the Scenic Route: Measuring the Value of Search Trails in Web Logs Ryen W. White and Jeff Huang SIGIR 2010 (16.7% acceptance rate, Best Paper Award) Studying Trailfinding Algorithms for Enhanced Web Search Adish Singla, Ryen W. White, and Jeff Huang SIGIR 2010 (16.7% acceptance rate) Conversational Tagging in Twitter Jeff Huang, Katherine Thornton, and Efthimis N. Efthimiadis Hypertext 2010 (35% acceptance rate, short paper) Parallel Browsing Behavior on the Web Jeff Huang and Ryen W. White Hypertext 2010 (35% acceptance rate, short paper) Analyzing and Evaluating Query Reformulation Strategies in Web Search Logs Jeff Huang and Efthimis N. Efthimiadis CIKM 2009 (14.5% acceptance rate, Best Student Paper Finalist) Graphstract: Minimal Graphical Help for Computers Jeff Huang and Michael B. Twidale UIST 2007 (17% acceptance rate) Journal Papers An Analysis of Automated Visual Analysis Classification: Interactive Visualization Task Inference of Cancer Genomics Domain Experts Connor Gramazio, Jeff Huang, David Laidlaw Transactions on Visualization and Computer Graphics, 24(8), 2017 Master Maker: Understanding Gaming Skill through Practice and Habit from Gameplay Behavior Jeff Huang, Eddie Yan, Gifford Leung, Nachiappan Nagappan, Thomas Zimmermann Topics in Cognitive Science, 9(2), 2017 Strokes of Insight: User Intent Detection and Kinematic Compression of Mouse Cursor Trails Daniel Martn-Albo, Luis Leiva, Jeff Huang, Rjean Plamondond Information Processing & Management, 52(6), 2016 Learning Behaviors via Human-Delivered Discrete Feedback Robert Loftin, Bei Peng, James MacGlashan, Michael Littman, Matthew Taylor, Jeff Huang, David Roberts Journal of Autonomous Agents and Multi-Agent Systems, 30(1), 2016 Representing Uncertainty in Graph Edges: An Evaluation of Paired Visual Variables Hua Guo, Jeff Huang, David Laidlaw Transactions on Visualization and Computer Graphics, 21(10), 2015 Building a Better Mousetrap: Compressing Mouse Cursor Activity for Web Analytics Luis Leiva, Jeff Huang Information Processing & Management, 51(2), 2015 Workshop Papers Learning Something from Nothing: Leveraging Implicit Human Feedback Strategies Robert Loftin, Bei Peng, James MacGlashan, Michael Littman, Matthew Taylor, Jeff Huang, David Roberts RO-MAN 2014 Influence of Gameplay on Skill in Halo Reach Jeff Huang, Thomas Zimmermann, Nachiappan Nagappan, Charles Harrison, Bruce Phillips CHI Games User Research Workshop 2013 Web User Interaction Mining from Touch-Enabled Mobile Devices Jeff Huang and Abdigani Diriye HCIR Workshop 2012 On the Value of Page-Level Interactions in Web Search Jeff Huang HCIR Workshop 2011 Assistant Professor Computer Science Brown University 407 CIT 115 Waterman Street Providence RI 02912 401-863-5808 home@jeffhuang.com Schedule an ad-hoc meeting HCI Group Student FAQ Curriculum Vitae Teaching User Interfaces Fall 2013 , Fall 2014 , Fall 2015 , Fall 2016 , Fall 2017 , Fall 2018 Personal Informatics Seminar Spring 2016 HCI Seminar Spring 2014 , Spring 2015 , Spring 2018 Information Retrieval Fall 2010 (University of Washington) Ph.D. Students Alexandra Papoutsaki (graduated!) Nediyana Daskalova Jing Qian Shaun Wallace Resources Computer Science Professors spreadsheet with background info Best Paper Awards in top Computer Science conference Hello Sense Data extraction Microsoft Band Data extraction Search Engine Query Logs available for download Publishing Papers in Word that look professional Press TheNextWeb Study: Being a better gamer requires practice-but not too much Seeker Video Game Research Reveals Path to Advanced Gaming Skills PC World Web developers, meet WebGazer: software that turns webcams into eye-trackers The Register Brown boffins brew eye-tracking Javascript Softpedia WebGazer Uses JavaScript and Your Webcam to Track Eye Movements MIT Technology Review The Next Big Thing in Analytics: Tracking Your Cursor's Every Move Kotaku Why, Exactly, Do People Enjoy Watching StarCraft Games? GeekWire 'Hello, computer!' UW prof and students search outside the box PNAS Kickstart your research Slashdot Researchers Track Mouse Movements and Hesitations 97.3 KIRO FM University of Washington student wins Facebook Fellowship The Escapist Research Paper Attempts to Prove Why StarCraft Is Fun to Watch Seattle Times Facebook "fellows" two UW students Slashdot Why People Watch StarCraft, Instead of Playing PC Magazine Invisible Cursor-Tracking Program Knows What Your Eyes Have Seen Wall Street Journal Geeks Beat Jocks as Bar Fight Breaks Out Over Control of the TV Fresh Consulting World Blender: Transforming the Gaming Landscape ZDNet 2012-2013 Facebook Fellowship winners announced 1Up.com Why We Love StarCraft So Much diff --git a/src/data/compiled_bios/3364.txt b/src/data/compiled_bios/3364.txt new file mode 100644 index 0000000000..49f62e7e1a --- /dev/null +++ b/src/data/compiled_bios/3364.txt @@ -0,0 +1 @@ + Pages at this location are redirected to /people/jhughes . diff --git a/src/data/compiled_bios/3365.txt b/src/data/compiled_bios/3365.txt new file mode 100644 index 0000000000..97440fe532 --- /dev/null +++ b/src/data/compiled_bios/3365.txt @@ -0,0 +1 @@ + Pages at this location are redirected to /people/sistrail . diff --git a/src/data/compiled_bios/3366.txt b/src/data/compiled_bios/3366.txt new file mode 100644 index 0000000000..8f1ff2376c --- /dev/null +++ b/src/data/compiled_bios/3366.txt @@ -0,0 +1 @@ + Home Papers Talks Lab Blog Seny Kamara Associate Professor, Brown University Lab: Encrypted Systems Lab ( blog) email: seny@brown.edu twitter: @senykam pub key: B80B 84AC 9C5D 174D Overview I am an Associate Professor of Computer Science at Brown University . Before joining Brown, I was a researcher at Microsoft Research (Redmond Lab). My research is in cryptography and is driven by real-world problems from privacy, security and surveillance. My primary focus is on the design and cryptanalysis of encrypted algorithms, which are efficient algorithms that operate on end-to-end encrypted data. I maintain interests in various aspects of theory and systems, including applied and theoretical cryptography, data structures and algorithms, data systems, algorithmic fairness, game theory and technology policy. I direct the Encrypted Systems Lab and am a member of the CAPS group. Advising Postdoc: Tarik Moataz PhD students: Archita Agarwal , Ghous Amjad , Marilyn George, Sam Zhao (co-advised with Stan Zdonik) MSR interns: Sherman Chow , Anurag Khandelwal , Xianrui Meng , Naveed Muhammad , Tarik Moataz , Olya Ohrimenko , Charalampos Papamanthou , Mariana Raykova , Ben Riva , Saeed Sadeghian , Lei Wei Teaching Spring: CS16: Introduction to Algorithms and Data Structures Fall: CS2950-v: Topics in Applied Cryptography Recent Papers ( Full List ) Encrypted Multi-Maps with Computationally-Secure Leakage Seny Kamara, Tarik Moataz Eurocrypt 19 (full pdf ) Encrypted Databases for Differential Privacy Archita Agarwal, Maurice Herlihy, Seny Kamara, Tarik Moataz PETS 19 (full pdf ) Breach-Resistant Structured Encryption Ghous Amjad, Seny Kamara, Tarik Moataz PETS 19 (full pdf ) SQL on Structurally-Encrypted Databases Seny Kamara, Tarik Moataz Asiacrypt 18 (full pdf ) Structured Encryption and Leakage Suppression Seny Kamara, Tarik Moataz, Olya Ohrimenko CRYPTO 18 (proceedings pdf ) National Academies Consensus Report: Decrypting the Encryption Debate . F. Cate (Chair), D. Boneh, F. Chang, S. Charney, S. Goldwasser, D. Hoffman, S. Kamara, D. Kris, S. Landau, S. Lipner, R. Littlehale, K. Martin, H. Rishikof, P. Weinberger. ( report , overview@Lawfare ) Boolean Searchable Symmetric Encryption with Worst-Case Sub-Linear Complexity Seny Kamara, Tarik Moataz Eurocrypt 17 (proceedings pdf ) Projects Pixek: an end-to-end encrypted camera app Martin Zhu, Tarik Moataz, Seny Kamara ( overview+app ; Video@RWC18 ; Video@OURSA ; Wired ; CBC Spark ; BoingBoing ) Clusion: an open source encrypted search library Tarik Moataz, Seny Kamara ( overview ; code ) Signal Search Joe Engelman, Sam Zhao, Tarik Moataz, Seny Kamara ( overview ; code ) Essays & Surveys How to Search on Encrypted Data [ 1 , 2 , 3 , 4 , 5 ] Is the NSA Metadata Program Legal? Restructuring the NSA Metadata Program ( MIT Tech Review ) Are Compliance and Privacy Always at Odds? ( Lawfare ) How Not to Learn Cryptography diff --git a/src/data/compiled_bios/3367.txt b/src/data/compiled_bios/3367.txt new file mode 100644 index 0000000000..ae604c352c --- /dev/null +++ b/src/data/compiled_bios/3367.txt @@ -0,0 +1 @@ + Vasileios P. Kemerlis Email: echo @cs.brown.edu | sed 's/^/vpk/' Voice: +1 (401) 863-5787 Twitter: @vkemerlis Google Scholar DBLP Department of Computer Science Brown University CIT 505 115 Waterman Street, Box 1910 Providence, RI 02912, USA I am an Assistant Professor of Computer Science at Brown University . I'm interested in software, hardware, and systems security, with a focus on OS kernel protection, software hardening, and information flow tracking. [ Curriculum Vitae ] Teaching CSCI 1650: Software Security and Exploitation (Fall '17, '16) CSCI 2951U: Topics in Software Security (Spring '18, '17, '16) Publications Conference Papers N. DeMarinis, S. Tellex, V. P. Kemerlis , G. Konidaris, and R. Fonseca. Scanning the Internet for ROS: A View of Security in Robotics Research . 36 th IEEE International Conference on Robotics and Automation (ICRA). Montreal, Canada, May 2019 ( to appear ). H. Koo, Y. Chen, L. Lu, V. P. Kemerlis , and M. Polychronakis. Compiler-assisted Code Randomization . 39 th IEEE Symposium on Security and Privacy (S&P). San Fransisco, CA, USA, May 2018. [ Software ] K. Sinha, V. P. Kemerlis , and S. Sethumadhavan. "Reviving Instruction Set Randomization" . 9 th IEEE International Symposium on Hardware Oriented Security and Trust (HOST). McLean, VA, USA, May 2017. M. Pomonis, T. Petsios, A. D. Keromytis, M. Polychronakis, and V. P. Kemerlis . "kR^X: Comprehensive Kernel Protection against Just-In-Time Code Reuse" . 12 th European Conference on Computer Systems (EuroSys). Belgrade, Serbia, April 2017. [ Software ] P. Sarbinowski, C. Giuffrida, V. P. Kemerlis , and E. Athanasopoulos. "VTPin: Practical VTable Hijacking Protection for Binaries" . 32 nd Annual Computer Security Applications Conference (ACSAC). Los Angeles, LA, USA, December 2016. [ Software ] D. Williams-King, G. Gobieski, J. P. Blake, X. Yuan, P. Colp, K. Williams-King, M. Zheng, V. P. Kemerlis , J. Yang, and W. Aiello. "Shuffler: Fast and Deployable Continuous Code Re-Randomization" . 12 th USENIX Symposium on Operating Systems Design and Implementation (OSDI). Savannah, GA, USA, November 2016. E. Athanasopoulos, V. P. Kemerlis , G. Portokalidis, and Angelos D. Keromytis. "NaClDroid: Native Code Isolation for Android Applications" . 21 st European Symposium on Research in Computer Security (ESORICS). Heraklion, Greece, September 2016. W. Cui, M. Peinado, S. K. Cha, Y. Fratantonio, and V. P Kemerlis . "RETracer: Triaging Crashes by Reverse Execution from Partial Memory Dumps" . 38 th International Conference on Software Engineering (ICSE). Austin, TX, USA, May 2016. T. Petsios, V. P. Kemerlis , M. Polychronakis, and A. D. Keromytis. "DynaGuard: Armoring Canary-based Protections against Brute-force Attacks" . 31 st Annual Computer Security Applications Conference (ACSAC). Los Angeles, LA, USA, December 2015. [ Software ] Y. Oren, V. P. Kemerlis , S. Sethumadhavan, and A. D. Keromytis. "The Spy in the Sandbox: Practical Cache Attacks in JavaScript and their Implications" . 22 nd ACM Computer and Communications Security Conference (CCS). Denver, CO, USA, October 2015. K. Lu, Z. Li, V. P. Kemerlis , Z. Wu, L. Lu, C. Zheng, Z. Qian, W. Lee, and G. Jiang. "Checking More and Alerting Less: Detecting Privacy Leakages via Enhanced Data-flow Analysis and Peer Voting" . 22 nd Network and Distributed System Security (NDSS) Symposium. San Diego, CA, USA, February 2015. V. P. Kemerlis , M. Polychronakis, and A. D. Keromytis. "ret2dir: Rethinking Kernel Isolation" . 23 rd USENIX Security Symposium (USENIX Sec). San Diego, CA, USA, August 2014. [ Software ] K. Jee, V. P. Kemerlis , A. D. Keromytis, and G. Portokalidis. "ShadowReplica: Efficient Parallelization of Dynamic Data Flow Tracking" . 20 th ACM Computer and Communications Security Conference (CCS). Berlin, Germany, October 2013. V. Pappas, V. P. Kemerlis , A. Zavou, M. Polychronakis, and A. D. Keromytis. "CloudFence: Data Flow Tracking as a Cloud Service" . 16 th International Symposium on Recent Advances in Intrusion Detection (RAID). Saint Lucia, October 2013. M. V. Barbera, V. P. Kemerlis , V. Pappas, and A. D. Keromytis. "CellFlood: Attacking Tor Onion Routers on the Cheap" . 18 th European Symposium on Research in Computer Security (ESORICS). Egham, UK, September 2013. A. Zavou, V. Pappas, V. P. Kemerlis , M. Polychronakis, G. Portokalidis, and A. D. Keromytis. "Cloudopsy: an Autopsy of Data Flows in the Cloud" . 15 th International Conference on Human-Computer Interaction (HCI). Las Vegas, NV, USA, July 2013. D. Geneiatakis, G. Portokalidis, V. P. Kemerlis , and A. D. Keromytis. "Adaptive Defenses for Commodity Software through Virtual Application Partitioning" . 19 th ACM Computer and Communications Security Conference (CCS). Raleigh, NC, USA, October 2012. V. P. Kemerlis , G. Portokalidis, and A. D. Keromytis. "kGuard: Lightweight Kernel Protection against Return-to-user Attacks" . 21 st USENIX Security Symposium (USENIX Sec). Bellevue, WA, USA, August 2012. [ Software ] E. Athanasopoulos, V. P. Kemerlis , M. Polychronakis, and E. P. Markatos. "ARC: Protecting against HTTP Parameter Pollution Attacks Using Application Request Caches" . 10 th International Conference on Applied Cryptography and Network Security (ACNS). Singapore, June 2012. V. P. Kemerlis , G. Portokalidis, K. Jee, and A. D. Keromytis. "libdft: Practical Dynamic Data Flow Tracking for Commodity Systems" . 8 th ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environments (VEE). London, UK, March 2012. [ Software ] K. Jee, G. Portokalidis, V. P. Kemerlis , S. Ghosh, D. I. August, and A. D. Keromytis. "A General Approach for Efficiently Accelerating Software-based Dynamic Data Flow Tracking on Commodity Hardware" . 19 th Network and Distributed System Security (NDSS) Symposium. San Diego, CA, USA, February 2012. V. P. Kemerlis , V. Pappas, G. Portokalidis, and A. D. Keromytis. "iLeak: A Lightweight System for Detecting Inadvertent Information Leaks" . 6 th European Conference on Computer Network Defense (EC2ND). Berlin, Germany, October 2010. B. M. Bowen, P. Prabhu, V. P. Kemerlis , S. Sidiroglou, A. D. Keromytis, and S. J. Stolfo. "BotSwindler: Tamper Resistant Injection of Believable Decoys in VM-Based Hosts for Crimeware Detection" . 13 th International Symposium on Recent Advances in Intrusion Detection (RAID). Ottawa, Canada, September 2010. B. M. Bowen, V. P. Kemerlis , P. Prabhu, A. D. Keromytis, and S. J. Stolfo. "Automating the Injection of Believable Decoys to Detect Snooping" . 3 rd ACM Conference on Wireless Network Security (WiSec). Hoboken, NJ, USA, March 2010 ( short paper ). K. Katsaros, V. P. Kemerlis , C. Stais, and G. Xylomenos. "A BitTorrent Module for the OMNeT++ Simulator" . 17 th IEEE/ACM International Symposium on Modelling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS). London, UK, September 2009. A. Kosmopoulos, I. Karamichali, V. P. Kemerlis , and G. C. Polyzos. "Fueling Game Development in Mobile P2P Environments" . 18 th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC). Athens, Greece, September 2007. P. A. Frangoudis, V. P. Kemerlis , D. C. Paraskevaidis, E. C. Efstathiou, and G. C. Polyzos. "Experimental Evaluation of Community-Based WLAN Voice and Data Services" . 3 rd ICST International Mobile Multimedia Communications Conference (MobiMedia). Nafpaktos, Greece, August 2007. E. G. Giannopoulou, V. P. Kemerlis , M. Polemis, J. Papaparaskevas, A. C. Vatopoulos, and M. Vazirgiannis. "A Large Scale Data Mining Approach to Antibiotic Resistance Surveillance" . 20 th IEEE International Symposium on Computer-Based Medical Systems (CBMS). Maribor, Slovenia, June 2007. E. C. Efstathiou, F. A. Elianos, P. A. Frangoudis, V. P. Kemerlis , D. C. Paraskevaidis, E. C. Stefanis, and G. C. Polyzos. "Public Infrastructures for Internet Access in Metropolitan Areas" . 1 st ICST International Conference on Access Networks (AccessNets). Athens, Greece, September 2006. [ Software ] V. P. Kemerlis , E. C. Stefanis, G. Xylomenos, and G. C. Polyzos. "Throughput Unfairness in TCP over WiFi" . 3 rd IFIP Conference on Wireless On Demand Network Systems and Services (WONS). Les Mnuires, France, January 2006. Workshop Papers G. Xylomenos, K. Katsaros, and V. P. Kemerlis . "Peer Assisted Content Distribution over Router Assisted Overlay Multicast" . 1 st Euro-NF Workshop on Future Internet Architecture (FIA). Paris, France, November 2008. Journal and Magazine Articles V. P. Kemerlis , G. Portokalidis, E. Athanasopoulos, and A. D. Keromytis. "kGuard: Lightweight Kernel Protection" . USENIX ;login: Magazine, 37(6), December 2012. B. M. Bowen, V. P. Kemerlis , P. Prabhu, A. D. Keromytis, and S. J. Stolfo. "A System for Generating and Injecting Indistinguishable Network Decoys" . Journal of Computer Security (JCS), 20(2-3), January 2012. P. A. Frangoudis, G. C. Polyzos, and V. P. Kemerlis . "Wireless Community Networks: An Alternative Approach for Broadband Nomadic Network Access" . IEEE Communications Magazine, 49(5), May 2011. Non-academic Papers M. Pomonis, T. Petsios, A. D. Keromytis, M. Polychronakis, and V. P. Kemerlis . "kR^X: Comprehensive Kernel Protection against Just-In-Time Code Reuse" . Black Hat USA (BHUSA). Las Vegas, NV, USA, July 2017. J. Moreira, S. Rigo, M. Polychronakis, and V. P. Kemerlis . "Drop the ROP: Fine-Grained Control-Flow Integrity for the Linux Kernel" . Black Hat Asia (BHASIA). Singapore, March 2017. V. P. Kemerlis , M. Polychronakis, and A. D. Keromytis. "ret2dir: Rethinking Kernel Isolation" . Black Hat Europe (BHEU). Amsterdam, Netherlands, October 2014. Demos E. C. Efstathiou, F. A. Elianos, P. A. Frangoudis, V. P. Kemerlis , D. C. Paraskevaidis, G. C. Polyzos, and E. C. Stefanis. "Practical Incentive Techniques for Wireless Community Networks" . 4 th ACM/USENIX International Conference on Mobile Systems, Applications, and Services (MobiSys). Uppsala, Sweden, June 2006. E. C. Efstathiou, F. A. Elianos, P. A. Frangoudis, V. P. Kemerlis , D. C. Paraskevaidis, G. C. Polyzos, and E. C. Stefanis. "The Peer-to-Peer Wireless Network Confederation Scheme" . 25 th IEEE International Conference on Computer Communications (INFOCOM). Barcelona, Spain, April 2006. E. C. Efstathiou, F. A. Elianos, P. A. Frangoudis, V. P. Kemerlis , D. C. Paraskevaidis, G. C. Polyzos, and E. C. Stefanis. "The Peer-to-Peer Wireless Network Confederation Scheme: Protocols, Algorithms, and Services" . 2 nd ICST International Conference on Testbeds and Research Infrastructures for the Development of Networks and Communities (TridentCom). Barcelona, Spain, March 2006. 2019 vpk | Department of Computer Science | Brown University diff --git a/src/data/compiled_bios/3368.txt b/src/data/compiled_bios/3368.txt new file mode 100644 index 0000000000..399083d8e8 --- /dev/null +++ b/src/data/compiled_bios/3368.txt @@ -0,0 +1 @@ + Pages at this location are redirected to /people/pklein . diff --git a/src/data/compiled_bios/3369.txt b/src/data/compiled_bios/3369.txt new file mode 100644 index 0000000000..cd40e46e29 --- /dev/null +++ b/src/data/compiled_bios/3369.txt @@ -0,0 +1 @@ + George Konidaris Director: Intelligent Robot Lab Assistant Professor Department of Computer Science Brown University, Providence RI gdk@cs.brown.edu Home | IRL | Research | Teaching | Publications | Software | CV Welcome to my home page. I'm an Assistant Professor of Computer Science and at Brown University and director of the Intelligent Robot Lab . Research My research aims to build intelligent, autonomous, general-purpose robots that are generally capable in a wide variety of tasks and environments. I focus on understanding how to design agents that learn abstraction hierarchies that enable fast, goal-oriented planning. I develop and apply techniques from machine learning, reinforcement learning, optimal control and planning to construct well-grounded hierarchies that result in fast planning for common cases, and are robust to uncertainty at every level of control. I believe that it will take advances in all of these areas, and additionally advances in how to integrate these areas, to solve the AI problem. This video of some of my recent work is a good indicator of my interests - it combines ideas from hierarchical reinforcement learning, probabilistic machine learning, task-level planning, and robotics to create a robot that autonomously learns an abstract symbolic model of an environment and then uses it to plan: Here are a few sample project pages: Constructing High-Level Symbolic Representations for Planning . Autonomous Robot Skill Acquisition . Planning for the Decentralized Control of Multi-Robot Teams . Robot Motion Planning on a Chip . The Fourier Basis . Teaching I am currently teaching: CSCI 1410: Artificial Intelligence (Fall 2018) I have previously taught the following classes at Brown: CSCI 2951X: Reintegrating AI (Spring 2018) CSCI 1410: Artificial Intelligence (Fall 2017) CSCI 1410: Artificial Intelligence (Spring 2017) I taught the following classes when I was at Duke: CPS 590.2: Hierarchical Robot Learning and Planning (Fall 2014) CPS 270: Introduction to Artificial Intelligence (Spring 2015) CPS 590: Decision Making for Robots and Autonomous Systems (Fall 2015) CPS 270: Introduction to Artificial Intelligence (Spring 2016) diff --git a/src/data/compiled_bios/337.txt b/src/data/compiled_bios/337.txt new file mode 100644 index 0000000000..b6c69c240a --- /dev/null +++ b/src/data/compiled_bios/337.txt @@ -0,0 +1 @@ +Name: Dawande, Milind:: Position: Ashbel Smith Professor:: Degrees: Ph.D., Algorithms, Combinatorics and Optimization, Carnegie Mellon University, Graduate School of Industrial Administration, 1997; M.S., Algorithms,Combinatorics and Optimization, Carnegie Mellon University, 1995; M.S., Mathematics, University of Louisiana, LA, 1993; B.Tech., Computer Science, Birla Institute of Technology and Science, 1991; Research Interests: Optimization Theory and its applications in Manufacturing and Service Operations Management; Major Honors and Awards: ; First Patent Application Invention Achievement Award, IBM T. J. Watson Research Center, 1998; ; ; William Larimer Mellon Fellowship, Carnegie MellonUniversity, 1993-1996; ; ; Merit Scholarship, Birla Institute of Technology and Science, 1987-1991; ; Representative Publications: ; Milking the Quality Test: Improving the Milk Supply Chain under Competing Collection Intermediaries (with L. Mu, X. Geng, V. Mookerjee) Management Science (to appear).; ; ; Role Refinement in Access Control: Model and Analysis (with H. Xia and V. Mookerjee) INFORMS Journal on Computing Vol 26, No. 4, 866-884, 2014.; ; ; Fixed-Dimensional Stochastic Dynamic Programs: An Approximation Scheme and an Inventory Application (with W. Chen and G. Janakiraman) Operations Research Vol 62, No. 1, 81-103, 2014.; ; ; Improving the Milk Supply Chain in Developing Countries: Analysis, Insights, and Recommendations (with L. Mu and V. Mookerjee) Production and Operations Management Vol. 23, No. 7, 1098-1112, 2014.; ; ; Integrality in Stochastic Inventory Models (with W. Chen and G. Janakiraman) Production and Operations Management Vol. 23, No. 9, 1646-1663, 2014.; ; diff --git a/src/data/compiled_bios/3370.txt b/src/data/compiled_bios/3370.txt new file mode 100644 index 0000000000..9f2c5b1b29 --- /dev/null +++ b/src/data/compiled_bios/3370.txt @@ -0,0 +1 @@ + Shriram Krishnamurthi Professor of Computer Science Brown PLT and Bootstrap Computer Science Department Brown University Contact (with Calendar ) (and public key ) Papers Teaching Service Personal Though my head is often in security , networking , formal methods , and HCI , my heart is in programming languages . Over the years I have contributed to several innovative and useful software systems: JavaScript and Web tools , Flowlog and related tools , Racket (formerly DrScheme), WeScheme , Margrave , Flapjax , FrTime , Continue , FASTLINK , (Per)Mission , and more. For some of what I've been doing lately, please see my research group's blog . Recently, I have decided to devote a substantial portion of my time and energy to the hardest problem I've worked on: computer science education . It's the hardest because it requires substantial work on both technical and human-factors fronts; the audience is often unsophisticated and vulnerable; and if you screw up, you can do real damage to not only individuals but also the field and society. I recently wrote up a manifesto for my new direction [the same text is on both Facebook and Google+ ]. Since 1995, decades before it became a fashionable hobby, I've been devoted to computer science outreach at a national (and larger) scale. My collaborators and I wrote a best-selling book and created a series of successful outreach programs. I also wrote the widely-used Programming Languages: Application and Interpretation . The current outreach program, Bootstrap , is used internationally for both computing and math education, and has been adopted as the middle-school mathematics curriculum by Code.org. I'm expanding Bootstrap's reach to also interface with physics and data science. As part of these projects, I am working on the Pyret programming language and a new book, Programming and Programming Languages . I also teach in Brown's Executive Master in Cybersecurity program, where I'm responsible for the human factors course. I'm honored to be a recipient of SIGPLAN's Robin Milner Young Researcher Award , SIGSOFT's Influential Educator Award , and Brown University's Wriston Fellowship . Disclosure : My work has been supported financially by the US National Science Foundation, Bloomberg, Cisco, Code.org, CSNYC, the ESA Foundation, Fujitsu, General Motors, Google, Infosys, Jane Street Capital, the State of Rhode Island, and TripAdvisor. I believe my views have not been swayed by this support, but I provide this information so you can judge for yourself. My names are not spelled Sriram or Shiram or Khrishnamurthi or Krishnamurthy or Krishnamurti (like the philosopher). Find me, o search engine, find me! diff --git a/src/data/compiled_bios/3371.txt b/src/data/compiled_bios/3371.txt new file mode 100644 index 0000000000..79e38e0e91 --- /dev/null +++ b/src/data/compiled_bios/3371.txt @@ -0,0 +1 @@ + David H. Laidlaw Professor of Computer Science , Brown University . Visualization Research Lab My lab research pages are the best source of information about the research that my group and collaborators do. Research Interests My research centers around applications of visualization, computational modeling, computer graphics, and computer science to other scientific disciplines. Particular interests include visualization of multivalued multidimensional imaging data, comparisons of virtual and non-virtual environments for scientific tasks, and applications of art and perception to visualization. I earned my Computer Science PhD from Caltech while working in the graphics group there. My post-doctoral work, also at Caltech, was in the Fraser lab in the Beckman Institute (a part of the Biology division ). The work of my group, the Visualization Research Lab (VRL), is described in a set of web pages outlining organizing themes, individual projects, people, and other resources. Some of the projects I am directing and participating in are also described in the scientific visualization pages of the Brown Graphics Group. My CV lists publications, teaching, service, funding, and has links to papers. List of all publications at DPLP , and at PubMed Together with Mark Bastin at U. Edinburg and with support from NIH, we have acquired and made available diffusion MRI data from 80 normal adult volunteers at a range of ages. Questions, comments, suggestions? E-mail me: dhl@cs.brown.edu Office: CIT 521 Snail mail: Box 1910, Computer Science Department Brown University Providence, RI 02912 Packages: Computer Science Dept 115 Waterman St 4th floor Providence, RI 02906 401-863-7600 (voice) 401-863-7657 (fax) For students If you are in CS, See my tips for advisees page diff --git a/src/data/compiled_bios/3372.txt b/src/data/compiled_bios/3372.txt new file mode 100644 index 0000000000..3306f7af16 --- /dev/null +++ b/src/data/compiled_bios/3372.txt @@ -0,0 +1 @@ + Michael L. Littman Current Projects Bertram Malle, Peter Haas and I are spearheading the Humanity-Centered Robotics Initiative . I've enjoyed creating various kinds of videos for teaching, research, and family fun. Please browse my collection of Educational Computer Science Music Videos or recordings of the Littman Family Quartet . You can also see me in: A TEDxProvidence talk on How I Learned to Stop Worrying and Be Realistic About AI (September 2017). A TEDxBoston talk on A Cooperative Path to Artificial Intelligence (October 2017). A TurboTax commercial (Winter 2016). My Dancing with the Profs pre-dance video and performance (February 2015). Assisting Charles Isbell in his AAAI invited talk on Interactive Machine Learning . Dave Ackley and I have been recording a podcast of conversations about computation and the world we call Computing Up . Some requests for people asking for recommendation letters from me. If you are interested in doing research with me, you might like to take a look at some open questions I'd be interested in studying with you. Current Teaching This Fall, I'm on the staff of Andy Van Dam's CS15 . I am running research/reading groups on various AI, robotics, machine-learning topics. Prior Projects The "upod" group has been creating and studying end-user programmable devices , everyday gadgets that can be programmed in a friendly and natural way. We read papers about user interfaces and machine learning . September 2013, I ran on all the Streets of Barrington to get to know my new town. I joined the Computer Science faculty at Brown July 1st, 2012 after ten years at Rutgers , the State University of New Jersey. I tried writing a blog on the topic of end-user programming. Unfortunately, I couldn't quite keep it updated. I was program co-chair of AAAI 2013 with Marie desJardins and general chair of ICML 2013 . I was on the organizing committee for a AAAI symposium on Lifelong Machine Learning . You can download my python reinforcement-learning-problem demo (developed with Carlos Diuk) of the well-known taxi problem , but please send me mail if you try it out. Summer 2012, I taught a class on Crunching Social Networks (Algorithms) for Udacity . At last count, over 72,000 people signed up. It's free! And it's still available! There's a recording of my NIPS 2009 Tutorial on model-based reinforcement learning . I served as department chair at Rutgers July 2009--June 2012. I declared myself an outspoken proponent of progressive values . My spouse and I used to have a little blog on The Huffington Post , but we don't remember how to submit new articles and we stopped. We held an interdisciplinary workshop on learning in games (rescheduled from the snowed out date in January 2011). I was one of the organizers of Rutgers CS's Yahoo! seminar series in Machine Learning with Michael Pazzani and Tina Eliasi-Rad (2010-2011). I'm a big fan of Scratch and have used it for teaching and learning research . Here's my daughter Molly's scratch project page . In the year 5770, I served as Ceremonial Leader ("lay rabbi") of the Congregation for Humanistic Judaism of Morris County . I was one of the co-organizers of the Rutgers Yahoo! Machine Learning Seminar , Tuesdays at 11am (lunch provided), 2009-2010. I was programme co-chair of ICML 2009 in Montreal. I worked on the Journal of Machine Learning Research as an action editor. I participated in a panel as part of the opening of the NYC play, Universal Robots . The play won some nice awards ! I performed in HMS Pinafore Summer 2008. I served on the organizing committee of the 2008 Reinforcement Learning Competition . I served on the organizing committee for ICML/UAI/COLT 2008 workshops . I helped out with the 2nd AAAI Video Competition . In 2007-2008, I served as adult ed chair and web monster of the Congregation for Humanistic Judaism of Morris County . I've also been secretary and vice president. Worked on Journal of Artificial Intelligence Research (advisory board member). Journal of Machine Learning Gossip , American Association for Artificial Intelligence (ex Council member). Fall 2007, I helped organize the AAAI Fall Symposium on Computational Approaches to Representation Change During Learning and Development . Fall 2007, I served as local arrangements chair of the 7th International Conference on Epigenetic Robotics , held at Rutgers. I served as guest editor, with Amy Greenwald, of the Machine Learning Journal Special Issue on Learning and Computational Game Theory . I was on the program committee for the first AI Video Competition in 2007. I won the first "Shakey" for Short Video for Aibo Ingenuity . I also won Best Narration for Real Live Robot Learning with Kaushik Subramanian. In 2014, I won an actual "Shakey" statue for Overfitting: Machine Learning Music Video with Charles Isbell and Aaron Gross. I ran The First RL Benchmarking Event as part of a NIPS workshop in 2005. I co-organized the Reinforcement Learning Benchmarks and Bake-offs Workshop at NIPS 2004. I stay in touch with Charles Isbell and the Threads project he helped create that is transforming computer-science education. I co-organized the Probabilistic Track of the 2004 International Planning Competition (with Haakan Younes) and co-organized a AAAI 2004 Fall Symposium on Real-Life Reinforcement Learning (with Satinder Singh). With my CS205 class, 2/8/2005, we had thought we found a bug in the US Constitution! Spring 2004, I became a member of the Rutgers Cognitive Science Center . I gave two game-theory and learning tutorials summer of 2003, Multiagent Learning: A Game Theoretic Perspective at IJCAI-03 (with Michael Bowling), and Learning Topics in Game -Theoretic Decision Making at COLT-03. I was co-organizer of the Multi-Agent Learning: Theory and Practice workshop at NIPS 2002 (with Gerry Tesauro) and the Personalized Agents 2002 Fall Symposium at AAAI (with Charles Isbell). I was a founding member of the MetroBots RoboCup soccer team, which competed in the First American Open and RoboCup in 2003. I have looked into methods for dimension reduction for text applications as part of a NASA-funded research project in 2002. Prior Teaching Spring 2018, I taught undergraduate machine learning (for the first time). At one point, we had 300 students signed up. It was a blast. Some students created ML parody videos for extra credit. Fall 2017, I taught a graduate class on Learning and Sequential Decision Making and sort-of taking CS15 . Spring 2017, I taught A First Byte of Computer Science , a hands-on problem-solving class that introduces the field of computer science to undergraduates. Our theme was 1990s Nickelodeon shows. Spring and Fall 2016, I was on sabbatical. I prepared a course on Machine Learning with Charles Isbell for the Udacity/Georgia Tech/AT&T Online Master of Science in Computer Science . The Machine Learning course materials are available for free via Udacity. Enrollment is 22000+ as of November, 2014. Here is a list of the PhD dissertations (theses) I have advised . My Rutgers students were members of The Rutgers Laboratory for Real-Life Reinforcement Learning (or RL 3 ). Fall 2015, I was involved with three classes: a graduate / advanced undergraduate seminar on Learning and Sequential Decision Making , 2D-Game Engines (with Michael Thiesmeyer), and Designing Humanity Centered Robots (with Ian Gonsher). Spring 2015 was our second offering of A First Byte of Computer Science , a hands-on problem-solving class that introduces the field of computer science to undergraduates. Our theme was Pixar movies. Fall 2014, I co-taught Designing Humanity Centered Robots with Ian Gonsher. Fall 2014, I ran 2D Game Engines , which was a student-run independent study. I've had students work with me to develop their own video games. Here is a link: Perkinites by John Tran. Spring 2014, I offered A First Byte of Computer Science , a hands-on problem-solving class that introduces the field of computer science to undergraduates. Our theme was food. Fall 2013, I served as the faculty member for 2D Game Engines . Fall 2013, I taught a graduate seminar on Learning and Sequential Decision Making . Spring 2013, I taught Introduction to Artificial Intelligence (CS141). Fall 2012, I taught a graduate seminar on Learning and Sequential Decision Making . Spring 2011, I taught CS110, experimenting with introducing Scratch into the Rutgers curriculum. I also co-organized a Machine learning light seminar with Tina Eliasi-Rad. Spring 2010, I taught an honors course on Programming for the Masses to explore what the rest of the world might do if they could program. The spinoff project for Summer 2010 is "End user programming", or "upod" for "user programming of devices". Spring 2009, I taught a graduate course on sequential decision making . The lab also ran a light seminar on "A Machine Learning Approach to Solving Pitfall". Fall 2008, I taught a CS intro course for non-majors, Great Insights in Computer Science (CS105). Some class members sent me words of support . Carlos Diuk, Chris Mansley and I ran a light seminar on the topic of Bayesian Reinforcement Learning . Fall 2007, I taught a CS intro course for non-majors, Great Insights in Computer Science (CS105), available from sakai . Lihong Li and I organized a light seminar on the topic of Planning in Learned Environments . Spring 2007, I again taught a CS intro course for non-majors, Great Insights in Computer Science . Enrique Munoz de Cote and I also ran a seminar on the topic of Multiagent reinforcement learning . Fall 2006, I taught Great Insights in Computer Science and helped Alex Strehl organize a Light seminar on reinforcement-learning theory . I created a new course for non-majors, offered Spring 2006, Great Insights in Computer Science . Fall 2005, I reprised my course on Learning and Sequential Decision Making . Spring 2005, I taught Discrete Math (undergrad CS205) and co-organized the Social Reinforcement Learning light seminar with Matthew Stone. Fall 2004, I taught Discrete Math (undergrad CS205) and Machine Learning (graduate CS536) . Spring 2004, I taught a course on Learning and Sequential Decision Making . Fall 2003, I taught Machine Learning and ran a Learned Representations in AI Light Seminar. Spring 2003, I ran a Learning Robots Reading Group . Fall 2001, I taught Introduction to Artificial Intelligence at Princeton. Gratuitous Links I have written Humanistic Judaism songs with lyrics sung to the tune of existing songs. My family and his family sang Justin Boyan a song for his 40th birthday. Similarly, I put up a file with some of my favorite quotes from Charles Isbell when he turned 40. My explanation of the Monty Hall Problem (Jan. 2006) can be found online. There are editorial comments I make very frequently. I prefer some names more than others. I compiled a list of Communication Technology Firsts . Michael L. Littman is a big fan of google but not googlism . I've collected some real-life googlewhacks . I've started keeping track of slogans that help me understand the world around me. I can't bear to delete the links to stuff I started creating at Duke. Box 1910, Computer Science Department Brown University 115 Waterman St. Providence, RI 02912 401-863-7634 Office: CIT 301 Email: mlittman@cs.brown.edu Originally modified: Sun Dec 14 23:08:17 EST 1997 Modified: Fri Jun 3 08:13:05 EDT 2005 Modified: Fri May 23 00:01:10 EDT 2008 Modified: Wed Jun 17 11:59:53 EDT 2009 Modified: Mon May 3 09:22:11 EDT 2010 Modified: Sun Jun 12 16:37:54 EDT 2011 Copied to Brown and modified: Wed Sep 5 08:31:07 EDT 2012 Modified: Sat Jul 19 17:19:48 EDT 2014 Modified: Sun Dec 3 11:17:40 EST 2017 diff --git a/src/data/compiled_bios/3373.txt b/src/data/compiled_bios/3373.txt new file mode 100644 index 0000000000..491891feb3 --- /dev/null +++ b/src/data/compiled_bios/3373.txt @@ -0,0 +1 @@ + Pages at this location are redirected to /people/alysyans . diff --git a/src/data/compiled_bios/3374.txt b/src/data/compiled_bios/3374.txt new file mode 100644 index 0000000000..530a406ac3 --- /dev/null +++ b/src/data/compiled_bios/3374.txt @@ -0,0 +1 @@ + Research (current) Students Teaching Publications Data Contact News and Upcoming Travel May 23-27 Keynote at IWCS 2019 . May 6-9 In New Orleans for ICLR . May 10 Talk at New England Machine Learning Day . April 19 Talk at Harvard Linguistics Universals Workshop . November 14 Talk at Rochester Cognitive Science Dinner . November 2-4 In Brussels for EMNLP . October 24 Talk at UMass Machine Learning and Friends Lunch . Ellie {Pavlick, Tobochnik} I am an Assistant Professor of Computer Science at Brown University , and an academic partner with Google AI . I am interested in building better computational models of natural language semantics and pragmatics: how does language work, and how can we get computers to understand it the way humans do? Several of my recent projects and interests are described below. If you are a Brown undergrad or Masters student and are interested in getting involved with the lab, please read this . Language Representation and Inference When humans reason about language, we can be incredibly flexible or we can be highly precise. How can we codify the full range of human inferences about language, in a way that is simple and concrete enough to be accessible to computers? More -> Stylistics, Framing, and Implicit Meaning Language is about more than "who did what to whom, when, where, why, and how". Can we teach computers to pay attention not just to what people say, but also to how they say it, and to the implications of speakers' wording? More -> Crowdsourcing for NLP and Data Science Data is everywhere. Labelled data, not so much. How can we design tasks and incetivize people to help us transform massive amounts of data into something useful, from which we can train models, conduct experiments, and build insights? More -> Copyright Ellie Pavlick 2017 diff --git a/src/data/compiled_bios/3375.txt b/src/data/compiled_bios/3375.txt new file mode 100644 index 0000000000..f6bf620255 --- /dev/null +++ b/src/data/compiled_bios/3375.txt @@ -0,0 +1 @@ + Steven P. Reiss Department of Computer Science, Box 1910 Brown University, Providence, RI 02912-1910 Tel: 401-863-7641, Fax: 401-863-7657 Email: spr@cs.brown.edu Office: CIT 403 What's the Latest Code Bubbles now includes our version of live programming for real Java programs, SEEDE (simultaneous execution and editing in a development environemnt. If you have problems installing or compiling code bubbles, contact Email: me . The slides for the SoftVis keynote on The Visualizations of Code Bubbles are available (warning: this is a large file). There are now ancient (25-30 year old) videos linked from this site for various of the systems ( Pecan , Field , Garden , Desert , Cacti , and Bloom ). See what the state of the art was back then and compare it to today's tools. The Code Bubbles environment now includes automatic error correction (spelling, syntax, imports, ...). The environment has been upgraded to work with the latest versions of Eclipse (which was problematic on the Mac). The environment is also available for editing JavaScript files for Node.JS development. My current status (displayed outside my office and updated automatically) The Code Bubbles programming environment is now available in both source and binary forms. See the web page at http://www.cs.brown.edu/people/spr/codebubbles for more information. S 6 code search tool is now available. Try the S 6 web interface . DYMEM memory visualization tool is available as part of DYPER. DYPER dynamic performance analysis tools are available. Research Projects The overall theme of our research is making programming easier. We are undertaking a number of projects directed at this goal. These include: Programming Environments (PECAN,GARDEN,FIELD,DESERT,CLIME,BUBBLES) We have a long history of developing programming environments and the accompanying tools and techniques. Our recent efforts center around the Code Bubbles environment. Code Bubbles is an effort to provide a better, working-set centric, user interface for programming. It lets the user easily view the variety of software artifacts that are relevant to their current task at the same time on the same screen. It provides powerful and efficient navigation facilities and a variety of software visualizations. Recent work within the environment has looked at automatically correcting problems as the user edits. ` Automatic Bug Repair Our efforts in this area concentrate on using large open source repositories such as GitHub to assist in fixing semantic errors in programs. We are also looking at how to make automatic bug repair practical by integrating the user into the process. Performance Measurement This work is summarized as part of the DYVISE framework which includes low-overhead performance monitoring tools with appropiate visualizations and a tool for automatically constructing automatic performance models of complex Java systems in order to do predictive what-if analysis. Semantic-Based Code Search (S 6 ) . Our goal here is to provide a means for the programmer to access the huge repository of open source code that is available on the web without having to read and then modify the code that is returned from traditional search engines such as Google Codesearch. In S 6 the programmer specifies keywords, test cases, contracts, signatures, security constraints, and a user context. The tool finds relevant code and then uses a set of transformations to make that code meet the programmer specifications. Recent work here has looked at using the search mechanism to find user interfaces. Software Visualization (VALLEY,CACTI,BLOOM,JIVE,JOVE,VELD,DYPER,DYMEM,DYVISE). We have been doing software visualization for over 30 years at this point. We started with attempting to \ incorporate visualization into a programming environment, first in PECAN, then in GARDEN (with visual programming), and finally in FIELD. After this we started to develop independent visualization systems. The first, CACTI, provided 3D visualizations in various formats of information about a software system, mostly structural data, but including some performance and trace data. The followon system, BLOOM, concentrated on attempting to make it easier for programmers to specify what they wanted to visualize and then providing a variety of appropriate visualizations. More recently we have been looking into visualizing the dynamics of a large software system as it executes with minimal perturbation and maximal information. JIVE shows basic execution and thread information. JOVE shows basic block counts broken down by thread. VELD is again an attempt to let the programmer define application-specific visualizations, this time of the dynamics of their system. DYPER is visual performance monitoring designed for long running servers. It provides statistically accurate performance information within whatever overhead the user allows (e.g. 10%, 1% or even 0.1%). DYMEM is a low-overhead memory visualizer that shows object ownership in a compact visualization for running programs. It can be used to detect memory problems. DYVISE is a general purpose dynamic visualizer that takes minimal programmer input and uses dynamic and static analysis to determine what to visualize, how to instrument the code, and how to provide an appropriate visualization. Our most recent efforts are part of the Code Bubbles environment. Previous projects (in various states of usability): PECAN : A programming environment generator for workstations. This was one of the earliest multiple-view programming environments, running on Apollo and Sun workstations in the early 80's. It featured textual and graphical editors, automatically generated semantic views, dynamic views of the stack, and forward and reverse execution. GARDEN : An environment for combining multiple visual languages in order to do what we called conceptual programming. The idea was to let the programmer develop a system using the most appropriate combination of languages. The system allowed the easy definition of new visual (and textual) languages that could be easily combined and integrated with each other. GARDEN was built on top of a distributed object store, featured multiple threads of control, a complete object programming system where objects were directly executable, facilities for defining the visual syntax and semantics of new languages, visual editors for these languages, browsers, dynamic feedback of programs as they execute, and the start of a compiler to make the whole thing efficient. While the code still compiles, we need to port a few libraries before it can be run again. FIELD : A comprehensive UNIX programming environment. This was the environment that pioneered what was later to be called control integration, the use of interprocedural messages (and a central message server) as a means of integrating the various tools in a programming environment. Copied by several companies, the code was widely used and served as an educational programming environment here at Brown for several years as well as a development environment for C and early versions of C++. The environment integrated most UNIX programming tools (editors, debuggers, rcs/sccs, make, prof/gprof), provide graphical interfaces to each of these tools, and offered a variety of static program visualizers (call graph, file structure, class hierarchy) and dynamic visualizations (data structure displays, a view of the heap in action, a view of file I/O, performance visualizations). Many portions of the environment still run on Solaris and Linux -- at least enough to demonstrate its capabilities. DESERT : Desert was an attempt to go a step beyond FIELD in terms of integration. It initiated the concept of "fragment integration", i.e. breaking a program up into logical units or fragments (methods, classes, declarations, etc.) that are tracked separately and can be dynamically combined to show the programmer a view that is relevant to a particular aspect or feature of the system. Desert provided high-quality source views based on the studies of Baecker-Marcus, utilizing FrameMaker as the program editor and dynamically reformatting as the user typed. It featured syntax and semantic-based coloring (i.e. did variable lookup over the whole system on a keystroke basis, coloring types differently from variables from methods from undefined symbols). It also served as the basis for our first attempts at high-quality and high-density software visualizations using 3D techniques ( CACTI and VALLEY ). Much of this code still runs, at least here at Brown, although it requires Solaris because of the FrameMaker integration. Internet-Scale Programming (TAIGA). Our research here addresses the logical confluence of web services, peer-to-peer computing, grid computing, open source, autonomic computing, and software components. When all of these take off together, all programs share data, computation, and code, and one is left with a world where there is effectively only one program and it is running everywhere and all the time. Our research here is focused on the many issues that will arise as we move to such a world: how to define components, how to integrate privacy and security, dealing with failure as an integral part of all programs, economic and social issues, and frameworks for programming at the appropriate scale and level. As a demonstration program here, we have implemented a suite of tools that provide visualization of what is currently being viewed on the web by category. Software Systems Systems currently under development. For recent status and the latest versions of these systems please send email to spr@cs.brown.edu . Code Bubbles . This is our programming enviornment for Java, Node.JS (JavaScript) and possibly Python development. Bloom . This is our software visualization system. It consists of a program instrumentation package for C/C++, a JVMPI package for Java, various analysis frameworks for dynamic program data, a visual query interface, a visualization framework, several visualization methods, and a number of related items. Clime . This package represents our constraint-based programming environment. It includes a user interface that shows the programmer current inconsistencies between software artifacts and current style/language problems with the source both textually and graphically. It also includes a variety of tools for analyzing and storing information about different software artifacts including Java source, UML class and interaction diagrams (ROSE and ArgoUml), CVS histories, javadoc documentation, and Junit-based test cases. Chet . This is our tool for checking dynamic specifications in software systems. It is able to handle large numbers of specifications in relatively large and realistic Java systems in a practical way. Currently it is only availabe as part of the Clime environment. Taiga . This is our experimental framework for Internet-scale computing. It is built on top of a peer-to-peer backbone (based on JXTA) and includes facilities for defining the syntax and semantics of components and for defining web services, libraries, and other servers as implementations of these components. In includes facilities for sharing files and data across the Internet. Dyvise . This is a performance analysis and dynamic visualization framework encompassing a number of tools including DYPER for performance analysis, DYMEM for memory visualization, and DYVIEW for dynamic visualization. S 6 . This is the code for our semantics-based code search engine. Previous systems. These system are not under active development. Some, such as FIELD and Desert used to work either in full or in part. Jive and Jove . These are our dynamic Java visualization tools. It is available separately in binary form or in source form as part of Bloom. Veld. This is another visualization framework. It is aimed at dynamic visualization of Java programs where the programmer can quickly define what should be visualized and the system automatically does the instrumentation and runs the program with an appropriate visualization. bb. This is the text editor that was first implemented circa 1980 and has been maintained and updated since. A cheap and viable alternative to vi or emacs. BWE. This is our old userinterface toolkit. It predates Motif, but works nicely (and quicly) with X11. Although not widget-based, it is quite flexible and simple from a programmer's perspective. It is required for FIELD. CCEL. This ia an old C++ lint-like constraint checker with user-definable rules. I doubt if it still runs, but who knows. CPPP. A C++ front end for the language in 1986 with only partial support for templates. Desert. This is a C++/C programming environment (with some support for Java) that uses FrameMaker for program editing. It requires FOREST. dl. This is a very old incremental loader for COFF format files. Probably not very usable any more. FIELD. The Friendly Integerated Environment for Learning and Development, FIELD is an integration of various UNIX tools combined with a number of our own tools for software visualization. It is probably no longer fully functional, but parts of it do run and could be interesting. It served as the basis for DEC Fuse way back when. Forest. A package of C++ utilities including a nice object-oriented interface to Motif, a database query engine, and a Java parser. Required for Desert. Garden. Our circa 1985 visual programming environment, Garden provided support for user-defined visual languages and the ability to combine them in arbitrary ways in a single system. The package no longer will compile/run (the threads library used by Garden is long out of date). Idyl. This is an old incremental loader for COFF format files. It is a cleaned-up and much better implementation of dl. However, it was never ported to ELF and is no longer used. However, it was much more efficient than later incremental loaders such as Sun's ild. OOPas. An object Pascal preprocessor that accepts most Turbo Pascal extensions and produces Sun Pascal. Teaching Courses (2016-2017): CSCI2340: Topics in Software Engineering . This is a seminar course on topics related to software engineering. CSCI1320: Creating Modern Web Applications . This course teaches students the concepts needed for creating interactive web applications using modern technology. It covers topics including user interface and web design, basic HTML, Javascript, and Php, frameworks such as Django and Ruby, Java-based coding using servlets and GWT, security, testing, scaling to handle large numbers of users, internationaliation and accessibility. Students in the course work in teams to build a working web application for an outside client. Clients this year included campus organizations, non-profits, local companies, and Brown enterprenurial students. CSCI1600: Embedded and Real-Time Programming . This course teaches the concepts needed to create software-controlled embedded and real time systems. Topics include basic hardware and low-level software concepts, real time scheduling, modeling real time and embedded systems, and proving properties of the systems. Courses (2015-2016): CSCI1260: Compilers and Program Analysis This couirse teaches basic compiler techniques (lexical, syntactic, semantic analysis, and code generation), as well as compoiler optimization throry and techniques. The application of these to program analysis, both static and dynamic is also considered. CSCI1320: Creating Modern Web Applications . This course teaches students the concepts needed for creating interactive web applications using modern technology. It covers topics including user interface and web design, basic HTML, Javascript, and Php, frameworks such as Django and Ruby, Java-based coding using servlets and GWT, security, testing, scaling to handle large numbers of users, internationaliation and accessibility. Students in the course work in teams to build a working web application for an outside client. Clients this year included campus organizations, non-profits, local companies, and Brown enterprenurial students. CSCI1600: Embedded and Real-Time Programming . This course teaches the concepts needed to create software-controlled embedded and real time systems. Topics include basic hardware and low-level software concepts, real time scheduling, modeling real time and embedded systems, and proving properties of the systems. Courses (2013-2014): CSCI1320: Creating Modern Web Applications . This course teaches students the concepts needed for creating interactive web applications using modern technology. It covers topics including user interface and web design, basic HTML, Javascript, and Php, frameworks such as Django and Ruby, Java-based coding using servlets and GWT, security, testing, scaling to handle large numbers of users, internationaliation and accessibility. Students in the course work in teams to build a working web application for an outside client. Clients this year included campus organizations, non-profits, local companies, and Brown enterprenurial students. CSCI1950i: Designing, Creating, and Developing User Interfaces . This is aa new course on user interface design and development. In addition to covering basic HCI, it is project-based with an emphasis on group work. Courses (2012-2013): CSCI1320: Creating Modern Web Applications . This is a new course that teaches students the concepts needed for creating interactive web applications using modern technology. It covers topics including user interface and web design, basic HTML, Javascript, and Php, frameworks such as Django and Ruby, Java-based coding using servlets and GWT, security, testing, scaling to handle large numbers of users, internationaliation and accessibility. Students in the course work in teams to build a working web application for an outside client. Clients this year included campus organizations, non-profits, local companies, and Brown enterprenurial students. CSCI1600: Embedded and Real-Time Programming . This course teaches the concepts needed to create software-controlled embedded and real time systems. Topics include basic hardware and low-level software concepts, real time scheduling, modeling real time and embedded systems, and proving properties of the systems. CSCI2310: User Interface Design . This is a graduate seminar on user interface and human factors. The topics studied vary from year to year depending on the interests of the students. Courses (2011-2012): CSCI0931: Introduction to Computation for the Humanities and Social Sciences. This course that looks at problems in the humanities and social sciences that can be solved using appropriate data analysis and computation. It concentrates on application problems and not on programming or mathematics. This course is the result of a NSF CPATH project we have been working on. CSCI1320: Creating Modern Web Applications . This is a new course that teaches students the concepts needed for creating interactive web applications using modern technology. It covers topics including user interface and web design, basic HTML, Javascript, and Php, frameworks such as Django and Ruby, Java-based coding using servlets and GWT, security, testing, scaling to handle large numbers of users, internationaliation and accessibility. Students in the course work in teams to build a working web application for an outside client. Clients this year included campus organizations, non-profits, local companies, and Brown enterprenurial students. CSCI2340: Topics in Software Engineering . This is a seminar course on topics related to software engineering. Courses (2010-2011): CSCI0931: Introduction to Computation for the Humanities and Social Sciences. This course that looks at problems in the humanities and social sciences that can be solved using appropriate data analysis and computation. It concentrates on application problems and not on programming or mathematics. This course is the result of a NSF CPATH project we have been working on. CSCI1320: Creating Modern Web Applications . This is a new course that teaches students the concepts needed for creating interactive web applications using modern technology. It covers topics including user interface and web design, basic HTML, Javascript, and Php, frameworks such as Django and Ruby, Java-based coding using servlets and GWT, security, testing, scaling to handle large numbers of users, internationaliation and accessibility. Students in the course work in teams to build a working web application for an outside client. Clients this year included campus organizations, non-profits, local companies, and Brown enterprenurial students. CSCI1600: Embedded and Real-Time Programming . This course teaches the concepts needed to create software-controlled embedded and real time systems. Topics include basic hardware and low-level software concepts, real time scheduling, modeling real time and embedded systems, and proving properties of the systems. CSCI2330: Programming Environments . This is a seminar course on topics related to programming environments. This year we worked on new programming tools to address mutlicore, threaded and distributed programming. Courses (2009-2010): CSCI0931: Introduction to Computation for the Humanities and Social Sciences. This is a new course that looks at problems in the humanities and social sciences that can be solved using appropriate data analysis and computation. It concentrates on application problems and not on programming or mathematics. This course is the result of a NSF CPATH project we have been working on. Courses (2008-2009): CSCI0190 (CS019): Accelerated introduction to programming and data structures. This coursecombines the first two traditional courses (csci0150 and csci0160, object-oriented programming and algorithms and data structures respectively) into a single course for students with a prior programming background. CSCI0320 (CS032): Introduction to Software Engineering . This is a sophomore level software engineering course covering both advanced programming topics such as threads, user interfaces, web applications and software architecture, as well as project engineering and agile programming. Students design and write a team project. Homework assignments other than the project have been chosen to demonstrate different applications including computational biology, physics and natural language processing. CSCI2340 (CS234): Topics in Software Engineering . This is a graduate seminar on software engineering. The topics studied vary from year to year depending on the interests of the students. Courses (2007-2008): CSCI0190 (CS019): Accelerated introduction to programming and data structures. This is a new course that combines the first two traditional courses (csci0150 and csci0160, object-oriented programming and algorithms and data structures respectively) into a single course for students with a prior programming background. CSCI0320 (CS032): Introduction to Software Engineering . This is a sophomore level software engineering course covering both advanced programming topics such as threads, user interfaces, web applications and software architecture, as well as project engineering and agile programming. Students design and write a team project. Homework assignments other than the project have been chosen to demonstrate different applications including computational biology, physics and natural language processing. CSCI2310 (CS231): User Interface Design . This is a graduate seminar on user interface and human factors. The topics studied vary from year to year depending on the interests of the students. Courses (2006-2007): CS233: Programming Environments . This is a seminar course on topics related to programming environments. This year we studied a collection of 30 papers relating to future directions for programming environments and concentrating on program analysis and verification. CS160: Embedded and Real-Time Programming . Otherwise known as the pinball course. This is a hands-on course in real time and embedded computing. For the project this year we took a 1979 Pinball machine (LaserBall) and replaced its CPU board with a connection to a linux box using a NI DIO card. The students had to write all the real time software to control the lights, switches, solenoids, and displays as well as provide a fun and workable pinball game. Lectures covered the underlying theory and practice of real time and embedded programming. CS032: Introduction to Software Engineering . This is a sophomore level software engineering course covering both advanced programming topics such as threads, user interfaces, web applications, and software architecture, as well as project engineering and agile programming. Students design and write a team project. Courses (2005-2006): CS126: Introductory Compiler Construction. This is a traditional compiler course updated to emphasize modern compiler techniques. While lexical analysis, parsing, semantic analysis and code generation are all covered, we also spend 1/4 of the course covering compiler optimization theory and techniques. Students write a compiler for a simple object-oriented language, Decaf, for x86. CS032: Introduction to Software Engineering . This is a sophomore level software engineering course taught in Java covering both advanced programming topics such as threads, user interfaces, and software architecture, as well as project engineering and agile programming. Students design and write a team project. Courses (2004-2005): CS009-03: Building a Web Application . This is a freshman seminar where the students will work as a team to build, test, and deploy a web application. CS231: Human Factors and User Interface Design. This is a graduate seminar in covering various topics in user interfaces. The course is taught alternate years and tends to cover different topics each time it is taught. Possible topics this year include device-independent user interfaces and 3D desktops. CS234: Topics in Software Engineering . This is a graduate seminar that will cover some set of relevant topics related to software engineering. (With Shriram Krishnamurthi.) CS32: Introduction to Software Engineering. This is the course I have developed over the past 10 years and is the model for the text book "A Practial Introduction to Software Design with C++". Courses (2003-2004): CS233: Programming Environments . Here we studied modern programming tools and the class project involved implementing a scriptable debugger for C/C++ under Linux. CS126: Introductory Compiler Construction . This is an undergraduate course in compiler construction. The course will be a hands-on course where the students will develop an optimizing compiler for a subset of Java generating SPARC assembly code. The course will be evenly split between parsing (including lexical analysis), semantic analysis, and optimization. CS32: Introduction to Software Engineering. This is the course I have developed over the past 10 years and is the model for the text book "A Practial Introduction to Software Design with C++". Previous courses Other courses I have taught in the last few years. Some of them I still teach, while others are now taught by other faculty members. CS190: Software Systems Design. This ia a senior-level project course where students work in teams of ten to learn software engineering and to build a useful system. CS178: Programming Parallel and Distributed Systems . This course covered the basics of distributed systems, web computing, and parallel computing using MPI. Books A Practial Introduction to Software Design with C++. This is a text book for an advanced programming or introductory software engineering course. It covers a wide range of material including how to use (rather than abuse C++), program design at all levels (code, class, module, and system), user interface design and development, networking, software engineering, design patterns, debugging and testing, and advanced programming techniques. FIELD: A Friendly Interactive Environment for Learning and Development . This is a monograph that describes the FIELD programming environment in detail. Personal How to reach me: Email: spr@cs.brown.edu Snail Mail: Box 1910, Computer Science Department Brown University Providence, RI 02912 Phone: 401-863-7641 ( voice ) 401-863-7657 ( fax ) Equipment in my office: 4 Machines (2 Linux, 1 Windows, 1 Macintosh) 32 cpus (16,8,4,4) 3 Tb disk 140G memory 7 monitors Hobbies: Gardening (vegetables) Hiking Cape Cod Softball Family: Loretta Frederick (@ IBM Almaden) Charles ( @ UVa ) Valerie (@ GA Tech Research Institute) Last Updated: 21-Feb-2017 10:43 AM diff --git a/src/data/compiled_bios/3376.txt b/src/data/compiled_bios/3376.txt new file mode 100644 index 0000000000..1f1e689a9a --- /dev/null +++ b/src/data/compiled_bios/3376.txt @@ -0,0 +1 @@ + Daniel Ritchie Affiliations Brown University Computer Science Department Contact Information CIT, Room 445 115 Waterman Street Providence, RI 02912 Office Hours: Thu, Fri 5-6 Info for prospective students Teaching Spring 2019 CSCI 2240: Interactive Computer Graphics Fall 2018 CSCI 1470/2470: Deep Learning Spring 2018 CSCI 2240: Interactive Computer Graphics Fall 2017 CSCI 2951-W: Creative Artificial Intelligence for Computer Graphics Travel 14 Apr Cambridge, MA New England Symposium on Graphics 06 - 10 May Genoa, Italy Eurographics 2019 16 - 21 Jun Long Beach, CA CVPR 2019 Resources Three-phase Paper Writing An algorithm for writing technical papers About I am an Assistant Professor of Computer Science at Brown University . In my research, Im broadly interested in the intersection of computer graphics with artificial intelligence and machine learning: I build intelligent machines that understand the visual world and can help people be visually creative. This entails developing technologies that do things such as: Exploring a manifold of good designs Suggesting new (or unexpected ) design possibilities Synthesizing new designs from examples or large datasets Inferring structure from unstructured designs to facilitate editing Directing the output of stochastic generative processes Much of my group's current work focuses on analyzing, modeling, and synthesizing 3D scenes and the objects that comprise them. I received my PhD from Stanford University , where I worked with Pat Hanrahan in the Graphics Lab and with Noah Goodman in the Computation and Cognition Lab . I received my undergraduate degree from the University of California, Berkeley . News January 2019 I'm co-organizing a workshop on 3D Scene Generation at CVPR 2019. December 2018 Yunchao Liu's work on inferring scene-generating programs from images accepted to ICLR 2019. September 2018 Kevin Ellis's work on visual program induction from hand-drawn graph sketches accepted as a spotlight presentation at NeurIPS 2018. August 2018 Aaron Gokaslan and Vivek Ramanujan's work on unsupervised image translation with large shape deformation to be presented at ECCV 2018. March 2018 New paper on deep convolutional scene synthesis models accepted to SIGGRAPH 2018. Archive Publications Learning to Describe Scenes with Programs Yunchao Liu, Zheng Wu, Daniel Ritchie, William T. Freeman, Joshua B. Tenenbaum, and Jiajun Wu ICLR 2019 OpenReview Learning to Infer Graphics Programs from Hand-Drawn Images Kevin Ellis, Daniel Ritchie, Armando Solar-Lezama, and Joshua B. Tenenbaum NeurIPS 2018 (spotlight) arXiv Fast and Flexible Indoor Scene Synthesis via Deep Convolutional Generative Models Daniel Ritchie, Kai Wang, and Yu-an Lin arXiv preprint arXiv Improving Shape Deformation in Unsupervised Image-to-Image Translation Aaron Gokaslan, Vivek Ramanujan, Daniel Ritchie, Kwang In Kim, and James Tompkin ECCV 2018 arXiv | code Deep Convolutional Priors for Indoor Scene Synthesis Kai Wang, Manolis Savva, Angel X. Chang, and Daniel Ritchie SIGGRAPH 2018 pdf | code ScanComplete: Large-Scale Scene Completion and Semantic Segmentation for 3D Scans Angela Dai, Daniel Ritchie, Martin Bokeloh, Scott Reed, Jrgen Sturm, and Matthias Niener CVPR 2018 arXiv | video Example-based Authoring of Procedural Modeling Programs with Structural and Continuous Variability Daniel Ritchie, Sarah Jobalia, and Anna Thomas Eurographics 2018 pdf | supplemental An Improved Training Procedure for Neural Autoregressive Data Completion Maxime Voisin and Daniel Ritchie NIPS 2017 Bayesian Deep Learning Workshop arXiv | code Neurally-Guided Procedural Models: Amortized Inference for Procedural Graphics Programs using Neural Networks Daniel Ritchie, Anna Thomas, Pat Hanrahan, and Noah D. Goodman NIPS 2016 pdf | supplemental | video | demo | arXiv Deep Amortized Inference for Probabilistic Programs Daniel Ritchie, Paul Horsfall, and Noah D. Goodman arXiv 2016 pdf | arXiv Probabilistic Programming for Procedural Modeling and Design Daniel Ritchie Stanford University Doctoral Dissertation 2016 pdf | stanford library C3: Lightweight Incrementalized MCMC for Probabilistic Programs using Continuations and Callsite Caching Daniel Ritchie, Andreas Stuhlmller, and Noah D. Goodman AISTATS 2016 pdf | slides | code Controlling Procedural Modeling Programs with Stochastically-Ordered Sequential Monte Carlo Daniel Ritchie, Ben Mildenhall, Noah D. Goodman, and Pat Hanrahan SIGGRAPH 2015 pdf | slides | code | demo Generating Design Suggestions under Tight Constraints with Gradient-based Probabilistic Programming Daniel Ritchie, Sharon Lin, Noah D. Goodman, and Pat Hanrahan Eurographics 2015 pdf | slides | video | code Best Paper Honorable Mention Quicksand: A Lightweight Embedding of Probabilistic Programming for Procedural Modeling and Design Daniel Ritchie 3rd NIPS Workshop on Probabilistic Programming pdf | slides | project page | talk First-class Runtime Generation of High-performance Types using Exotypes Zachary Devito, Daniel Ritchie, Matthew Fisher, and Pat Hanrahan PLDI 2014 pdf | project page Probabilistic Color-by-Numbers: Suggesting Pattern Colorizations Using Factor Graphs Sharon Lin, Daniel Ritchie, Matthew Fisher, and Pat Hanrahan SIGGRAPH 2013 pdf | project page Example-based Synthesis of 3D Object Arrangements Matthew Fisher, Daniel Ritchie, Manolis Savva, Thomas Funkhouser, and Pat Hanrahan SIGGRAPH Asia 2012 pdf | project page d.tour: Style-based Exploration of Design Example Galleries Daniel Ritchie, Ankita Kejriwal, and Scott R. Klemmer UIST 2011 pdf | video Dynamic Local Remeshing for Elastoplastic Simulation Martin Wicke, Daniel Ritchie, Bryan M. Klingner, Sebastian Burke, Jonathan R. Shewchuk, and James F. O'Brien SIGGRAPH 2010 pdf | video 1 | video 2 | project page Interactive Simulation of Surgical Needle Insertion and Steering Nuttapong Chentanez, Ron Alterovitz, Daniel Ritchie, Lita Cho, Kris Hauser, Ken Goldberg, Jonathan R. Shewchuk, and James F. O'Brien SIGGRAPH 2009 pdf | video 1 | project page diff --git a/src/data/compiled_bios/3377.txt b/src/data/compiled_bios/3377.txt new file mode 100644 index 0000000000..d555cdc310 --- /dev/null +++ b/src/data/compiled_bios/3377.txt @@ -0,0 +1 @@ + Pages at this location are redirected to /people/jsavage . diff --git a/src/data/compiled_bios/3378.txt b/src/data/compiled_bios/3378.txt new file mode 100644 index 0000000000..af284221d8 --- /dev/null +++ b/src/data/compiled_bios/3378.txt @@ -0,0 +1 @@ + Pages at this location are redirected to /people/rtamassi . diff --git a/src/data/compiled_bios/3379.txt b/src/data/compiled_bios/3379.txt new file mode 100644 index 0000000000..e2802a3ce4 --- /dev/null +++ b/src/data/compiled_bios/3379.txt @@ -0,0 +1 @@ + Pages at this location are redirected to /people/stellex . diff --git a/src/data/compiled_bios/338.txt b/src/data/compiled_bios/338.txt new file mode 100644 index 0000000000..6bf70299d5 --- /dev/null +++ b/src/data/compiled_bios/338.txt @@ -0,0 +1 @@ +Name: Desmedt, Yvo:: Position: Jonsson Distinguished Professor:: Degrees: Ph.D., Applied Science, Katholieke Universiteit Leuven, Belgium, 1984; M.S., Electrical Engineering,Katholieke Universiteit Leuven, Belgium, 1979; Research Interests: Cryptography; Network security; Critical infrastructure; Computer security; Major Honors and Awards: ; 100 Year Bell Telephone Belgium Prize, 1983; ; ; IBM Belgium Prize for best PhD in Computer Science. NFWO, Belgium, 1985; ; ; S.W.I.F.T. (Society for Worldwide Interbank Financial Telecommunication) Prize, 1985; ; ; Graduate School/University of Wisconsin Milwaukee Foundation Research Award. Graduate School, 1992; ; ; Center of Excellence in Information Security Education at Florida State University. NSA, 2000; ; ; International Association of Cryptologic Research Fellow. IACR FellowsCommittee, 2010; ; diff --git a/src/data/compiled_bios/3380.txt b/src/data/compiled_bios/3380.txt new file mode 100644 index 0000000000..e330d315a6 --- /dev/null +++ b/src/data/compiled_bios/3380.txt @@ -0,0 +1 @@ + James Tompkin Assistant Prof. @ Brown CS Contact Office hours: Tues 12pm Book appointment Brown GCal: Use 'Find a Time' Instructions james_tompkin@brown.edu Enable Javascript to see my email address Thomas J. Watson Sr. Center for Information Technology Room 547 115 Waterman Street Providence, RI, 02912 Teaching SIGGRAPH Courses Video for Virtual Reality SIGGRAPH 2017 User-centric Computational Videography SIGGRAPH 2015 University Courses Fall 2018: CSCI 1290Computational Photography and Image Manipulation Brown University Spring, Fall 2017: CSCI 1430Introduction to Computer Vision Brown University Fall 2016, Spring 2018: CSCI 2951-IComputer Vision for Graphics and Interaction Brown University Spring 2016: CS171Visualization Harvard University Spring 2015: CS171Visualization Harvard University Summer 2013: Computer Vision for Computer Graphics Max-Planck-Institute for Informatics Exhibitions Bad Art @ Brown with Aaron Gokaslan and Vivek Ramanujan Rear Window Augmented with Jeff Desom Museum of the Moving Image New York City 7 th Nov. 2015 to 10 th April 2016 ISCP New York City 79 th November 2014 Festival Imaginales Epinal, France 2629 th May 2014 Luxembourg Film Festival 28 th February to 9 th March 2014 Press (Selected) 2017 Piggybacking Robots Vice, IEEE Spectrum 2016 Brown CS intro Brown CS News 2015 Computational Design of Metallophone Contact Sounds Popular Science , Wired , Gizmodo , NSF Science360 . Rear Window Augmented The Wall Street Journal Archive 2014 Automatic Noise Modeling for Ghost-free HDR Reconstruction Informatik Spektrum cover, February 2013 Light Field Painting Architect How Not To Be Seen Slashdot 2012 Video Inpainting YouTube125k views so far Galileo (TV program, ProSieben German channel) Informatik Spektrum cover, April 2009 Adaptive Architecture TimeOut LondonDigital Cities: London's Future exhibition Faculty Applications To share my experience, here is the material I sent to Brown in Dec. 2015. CV (Sept. 2016) Research Statement Teaching Statement Acknowledgements My intrepid collaborators and co-authors! My funding agencies: the UK EPSRC, the BBC, Intel, the US National Science Foundation, and the US Defense Advanced Research Projects Agency. The open source Web community: HTML5 Boilerplate , Ryan Johnston , Joshua N. Hibbert , PracticalTypography.com , and EB Garamond . Research Overview MP4 download (200MB) How can we make video a creative medium for everyone? How can computation remove barriers from interaction? How can image understanding help us explore media? To help answer these questions, I create graphics, vision, and interaction techniques which improve our understanding of the connections within media. Academic lineage Post-doc with Prof. Hanspeter Pfister at the Harvard Paulson School of Engineering and Applied Sciences . Post-doc with Prof. Christian Theobalt at the Max-Planck-Institute for Informatics and the Intel VCI . Research intern with Prof. Wojciech Matusik at Disney Research Cambridge . EngD VEIV student with Prof. Jan Kautz at University College London , sponsored by the BBC . MSci at King's College London with Ian Mackie . News 9 th December 2018 At NeurIPS to present unsupervised segmentation within image-to-image translation , with Youssef A. Mejjati and co.! 21 st October 2018 With Daniel Haehn is presenting our work on machine graphical perception at IEEE Vis . 8 th September 2018 Aaron Gokaslan is in Munich at ECCV to talk about shape deformation in image-to-image translation! 1 st September 2018 Qian Zhang joins the lab as a PhD student! 18 th June 2018 With Daniel Haehn , Verena Kaynig-Fittkau , and Kwang In Kim at CVPR. 7 th May 2018 Supporting Discover Art/Science in their exhibition! 12 th March 2018 With Aaron Gokaslan and Vivek Ramanujan, contributing to Bad Art @ Brown . 24 th October 2017 Kwang In Kim is at ICCV to talk about predictor combination . 2 nd October 2017 Lezhi Li is at the IEEE Visualization VADL workshop to talk about tools for understanding deep learning on street view images. 4 th September 2017 Kwang In Kim presents our CriteriaSliders work at BMVC! 3 rd August 2017 Teaching Video for Virtual Reality at SIGGRAPH. 28 th April 2017 Nicolas Bonneel presents our Eurographics 2017 work on generic temporal consistency for camera arrays . 9 th March 2017 Serena Booth presents our HRI 2017 work on cookie succubus robots . Archive 1 st January 2017 Numair Khan and Eleanor Tursman join the lab as PhD students! 24 th October 2016 With Micha Schwab and Hendrik Strobelt , to present our IEEE VIS 2016 work on booc.io , a new educational course visualization. 11 th October 2016 Evgeny Levinkov is at Pacific Graphics 2016 to present our work on Interactive Multicut Video Segmentation . 1 st September 2016 I am now at Brown University as junior faculty. I am looking for students and a post-docplease email me! 21 st July 2016 More from Simon Arthur and Big Blue Saw , this time the chord 'zoolophone' keys . They even play Old MacDonald ! 24 th May 2016 Simon Arthur, founder of Big Blue Saw custom parts, has cut our 'zoolophone' metallophone shapes, and blogged about it . Thanks! 11 th November 2015 At UIST to present my work on interactive light field painting website . Demo @ UIST too! 3 rd November 2015 With colleages, presenting three works at SIGGRAPH Asia! One , two , three ! 7 th November 2015 New exhibition of Rear Window Augmented at the Museum of the Moving Image in New York City, with Jeff Desom . 3 rd October 2015 Helping to support The Harvard Campaign for Arts and Sciences at the Harvard Assembly . 14 th August 2015 At ACM SIGGRAPH to teach advanced video processing website . 1 st April 2014 Moved to Harvard SEAS! Publications2018 Unsupervised Attention-guided Image to Image Translation Youssef A. Mejjati, Christian Richardt, James Tompkin, Darren Cosker, Kwang In Kim Neural Information Processing Systems (NeurIPS 2018) Paper | Code Improving Shape Deformation in Unsupervised Image-to-Image Translation Aaron Gokaslan, Vivek Ramanujan, Daniel Ritchie, Kwang In Kim, James Tompkin European Conference on Computer Vision (ECCV 2018) arXiv | Github Evaluating 'Graphical Perception' with CNNs Daniel Haehn, James Tompkin, Hanspeter Pfister Transactions on Visualization and Computer Graphics (IEEE Visualization 2018) Webpage (Paper, code, and data!) EasyPZ.js: A Library For Pan and Zoom in Visualizations Michail Schwab, James Tompkin, Jeff Huang, Michelle Borkin IEEE Visualization (Poster) Webpage (Github, docu, jsFiddle, bl.ocks.org examples...) One-line SVG pan/zoom, plus a pan/zoom injecting bookmark for any SVG! Guided Proofreading of Automatic Segmentations for Connectomics Daniel Haehn, Verena Kaynig, James Tompkin, Jeff W. Lichtman, Hanspeter Pfister Computer Vision and Pattern Recognition (CVPR 2018) Paper | Supplemental Paper | Code | Proofreading Benchmark High-order Tensor Regularization with Application to Attribute Ranking Kwang In Kim, Juhyun Park, James Tompkin IEEE Computer Vision and Pattern Recognition (CVPR 2018) Paper | Supplemental The Eye of the Typer: A Benchmark and Analysis of Gaze Behavior during Typing Alexandra Papoutsaki, Aaron Gokaslan, James Tompkin, Yuze He, Jeff Huang ACM Symposium on Eye Tracking Research and Applications (ETRA 2018) Webpage (Paper, Code) | Data 2017 CriteriaSliders: Learning Continuous Database Criteria via Interactive Ranking James Tompkin, Kwang in Kim, Hanspeter Pfister, Christian Theobalt British Machine Vision Conference (Spotlight) Project webpage Consistent Video Filtering for Camera Arrays Nicolas Bonneel, James Tompkin, Deqing Sun, Oliver Wang, Kalyan Sunkavalli, Sylvain Paris, Hanspeter Pfister Computer Graphics Forum (Eurographics) Project webpage Predictor Combination at Test Time Kwang In Kim, James Tompkin, Christian Richardt International Conference on Computer Vision Paper | Supplemental Piggybacking Robots: Human-Robot Overtrust in University Dormitory Security Serena Booth, James Tompkin, Krzysztof Gajos, Jim Waldo, Hanspeter Pfister, Radhika Nagpal Conference on Human-Robot Interaction Project webpage Communicating Robot Arm Motion Intent Through Mixed Reality Head-mounted Displays Eric Rosen, David Whitney, Elizabeth Phillips, Gary Chien, James Tompkin, George Konidaris, Stefanie Tellex International Symposium on Robotics Research arXiv Hierarchical Visual Feature Analysis for City Street View Datasets Lezhi Li, James Tompkin, Panagiotis Michalatos, Hanspeter Pfister IEEE Visualization Workshop on Visual Analytics for Deep Learning Preprint | Webpage | Video | Presentation Scalable Interactive Visualization for Connectomics Daniel Haehn, John Hoffer, Brian Matejek, Adi Suissa-Peleg, Ali K. Al-Awami, Lee Kamentsky, Felix Gonda, Eagon Meng, William Zhang, Richard Schalek, Alyssa Wilson, Toufiq Parag, Johanna Beyer, Verena Kaynig, Thouis R. Jones, James Tompkin, Markus Hadwiger, Jeff W. Lichtman, and Hanspeter Pfister MDPI InformaticsSpecial Issue on Scalable Interactive Visualization Paper 2016 booc.io: An Education System with Hierarchical Concept Maps and Dynamic Non-linear Learning Plans Micha Schwab, Hendrik Strobelt, James Tompkin, Colin Fredericks, Connor Huff, Dana Higgins, Anton Strezhnev, Maya Komisarchik, Gary King, Hanspeter Pfister IEEE VIS 2016 Project webpage Interactive Multicut Video Segmentation Evgeny Levinkov, James Tompkin, Nicolas Bonneel, Steffen Kirchhoff, Bjoern Andres, Hanspeter Pfister Pacific Graphics 2016 (Short Paper) PDF 2015 Joint 5D Pen Input for Light Field Displays James Tompkin, Samuel Muff, James McCann, Hanspeter Pfister, Jan Kautz, Marc Alexa, Wojciech Matusik ACM User Interface Software and Technology (UIST 2015) Project webpage Generalizing Wave Gestures from Sparse Examples for Real-time Character Control Helge Rhodin, James Tompkin, Kwang In Kim, Edilson de Aguiar, Hanspeter Pfister, Hans-Peter Seidel, Christian Theobalt ACM Transactions on Graphics (SIGGRAPH Asia 2015) Project webpage Related project websites: Direct Motion Mapping Blind Video Temporal Consistency Nicolas Bonneel, James Tompkin, Kalyan Sunkavalli, Deqing Sun, Sylvain Paris, Hanspeter Pfister ACM Transactions on Graphics (SIGGRAPH Asia 2015) Project webpage Computational Design of Metallophone Contact Sounds Gaurav Bharaj, David I.W. Levin, James Tompkin, Yun Fei, Hanspeter Pfister, Wojciech Matusik, Changxi Zheng ACM Transactions on Graphics (SIGGRAPH Asia 2015) Project webpage Computational Design of Walking Automata Gaurav Bharaj, Stelian Coros, Bernhard Thomaszewski, James Tompkin, Bernd Bickel, Hanspeter Pfister ACM Symposium on Computer Animation (SCA 2015) Project webpage Context-guided Diffusion for Label Propagation on Graphs Kwang In Kim, James Tompkin, Hanspeter Pfister, Christian Theobalt International Conference on Computer Vision (ICCV 2015) Project webpage Semi-supervised Learning with Explicit Relationship Regularization Kwang In Kim, James Tompkin, Hanspeter Pfister, Christian Theobalt IEEE Computer Vision and Pattern Recognition (CVPR 2015) Project webpage Local High-order Regularization on Data Manifolds Kwang In Kim, James Tompkin, Hanspeter Pfister, Christian Theobalt IEEE Computer Vision and Pattern Recognition (CVPR 2015) Project webpage 2014 Interactive Intrinsic Video Editing Nicolas Bonneel, Kalyan Sunkavalli, James Tompkin, Deqing Sun, Sylvain Paris, Hanspeter Pfister ACM Transactions on Graphics (SIGGRAPH Asia 2014) Paper Video Project webpage Efficient Learning of Image Super-resolution and Compression Artifact Removal with Semi-local Gaussian Processes Younghee Kwon, Kwang In Kim, James Tompkin, Jin Hyung Kim, and Christian Theobalt Transactions on Pattern Analysis and Machine Intelligence (TPAMI) Project webpage Device Effect on Panoramic Video+Context Tasks Fabrizio Pece, James Tompkin, Hanspeter Pfister, Jan Kautz, Christian Theobalt European Conference on Visual Media Production (CVMP 2014) Paper Supplemental Related project websites: Vidicontexts Interactive Motion Mapping for Real-time Character Control Helge Rhodin, James Tompkin, Kwang In Kim, Kiran Varanasi, Hans-Peter Seidel, Christian Theobalt Computer Graphics Forum (Eurographics 2014) Project webpage 2013 Automatic Noise Modeling for Ghost-free HDR Reconstruction Miguel Granados, Kwang In Kim, James Tompkin, Christian Theobalt ACM Transactions on Graphics (SIGGRAPH Asia 2013) Project webpage Curvature-aware Regularization on Riemannian Submanifolds Kwang In Kim, James Tompkin, Christian Theobalt International Conference on Computer Vision (ICCV 2013) Project webpage Video Collections in Panoramic Contexts James Tompkin, Fabrizio Pece, Rajvi Shah, Shahram Izadi, Jan Kautz, Christian Theobalt User Interface Software and Technology (UIST 2013) Project webpage Preference and Artifact Analysis for Video Collections of Places James Tompkin, Min H. Kim, Kwang In Kim, Jan Kautz, Christian Theobalt ACM Transactions on Applied Perception (TAP) Project webpage Content-adaptive Lenticular Prints James Tompkin, Simon Heinzle, Jan Kautz, Wojciech Matusik ACM Transactions on Graphics (SIGGRAPH 2013) Project webpage Exploring Sparse Unstructured Video Collections of Places James Tompkin EngD Thesis @ University College London PDF (@ UCL Discovery) Related project websites: Videoscapes , Transition Analysis , Match Graph Construction . 2012 Interactive Viewpoint Video Textures Philippe Levieux, James Tompkin, Jan Kautz European Conference on Visual Media Production (CVMP 2012) Project webpage Background Inpainting for Videos with Dynamic Objects and a Free-moving Camera Miguel Granados, Kwang In Kim, James Tompkin, Jan Kautz, Christian Theobalt European Conference on Computer Vision (ECCV 2012) Project webpage (with data) Match Graph Construction for Large Image Databases Kwang In Kim, James Tompkin, Martin Theobald, Jan Kautz, Christian Theobalt European Conference on Computer Vision (ECCV 2012) Paper , Supplemental Material , Link Prediction MATLAB Code . Videoscapes: Exploring Sparse Unstructured Video Collections James Tompkin, Kwang In Kim, Jan Kautz, Christian Theobalt ACM Transactions on Graphics (SIGGRAPH 2012) Project webpage Interactive Light Field Painting James Tompkin, Samuel Muff, Stanislav Jakuschevskij, Jim McCann, Jan Kautz, Marc Alexa, Wojciech Matusik SIGGRAPH 2012 Emerging Technologies Webpage How Not to Be Seen - Object Removal from Videos of Crowded Scenes Miguel Granados, James Tompkin, Kwang In Kim, Oliver Grau, Jan Kautz, Christian Theobalt Computer Graphics Forum (Eurographics 2012) Project webpage (with data) Interactive Multi-perspective Imagery from Photos and Videos Henrik Lieng, James Tompkin, Jan Kautz Computer Graphics Forum (Eurographics 2012) Project webpage (with code and data) 2011 Video-based Characters - Creating New Human Performances from a Multi-view Video Database Feng Xu, Yebin Liu, Carsten Stoll, James Tompkin, Gaurav Bharaj, Qionghai Dai, Hans-Peter Seidel, Jan Kautz, and Christian Theobalt ACM Transactions on Graphics (SIGGRAPH 2011) Project webpage Towards Moment Images: Automatic Cinemagraphs James Tompkin, Fabrizio Pece, Kartic Subr, Jan Kautz European Conference on Visual Media Production (CVMP 2011) Project webpage (with data) Novel P300 BCI Interfaces to Directly Select Physical and Virtual Objects Beste F. Yuksel, Michael Donnerer, James Tompkin, Anthony Steed International Brain-Computer Interface Conference (BCI 2011) PDF and Poster 2010 A Novel Brain-computer Interface using a Multi-touch Surface Beste F. Yuksel, Michael Donnerer, James Tompkin, and Anthony Steed ACM Transactions on Computer-Human Interaction (SIGCHI 2010) Project webpage 2009 DIY Design Process for Interactive Surfaces Jennifer G. Sheridan, James Tompkin, Abel Maciel, and George Roussos British HCI Group Annual Conference on People and Computers (BCS-HCI 2009) PDF and Video Many projects and events! Schematics and WebGL model viewer! 2006 Venues: A Networked Visual Instrument James Tompkin MSci Dissertation @ King's College, London PDF and Videos diff --git a/src/data/compiled_bios/3381.txt b/src/data/compiled_bios/3381.txt new file mode 100644 index 0000000000..231f338eae --- /dev/null +++ b/src/data/compiled_bios/3381.txt @@ -0,0 +1 @@ + Pages at this location are redirected to /people/eupfal . diff --git a/src/data/compiled_bios/3382.txt b/src/data/compiled_bios/3382.txt new file mode 100644 index 0000000000..f67b66c31b --- /dev/null +++ b/src/data/compiled_bios/3382.txt @@ -0,0 +1 @@ + Paul Valiant >main >papers contact About Me My research interests are in algorithms and complexity, fluid dynamics, machine learning, and the brain. My algorithmic research focuses on sublinear algorithms on big data and related statistics. One branch of this research aims at illuminating the "unseen" portion of a probability distribution - what does the data about customers that visited a website this month enable us to say about the set of customers that did not visit the website? While this entire line of research aims to glean as much value from limited or expensive data as possible, in some cases the algorithms have achieved an unusually high bar: "instance optimal" algorithms, general-purpose algorithms that are competitive on each instance even compared to an algorithm custom-designed for that particular instance. Complementing and reinforcing all this work is a focus on developing matching lower bounds; algorithmic lower bounds typically rely on rather different techniques than the algorithms themselves, yet provide an invaluable source of illumination for future algorithmic work in the area. My fluid dynamics work is focused on discovering structures, regularities, and invariants, using a mixture of computer-aided proof techniques, multi-scale simulations and visualizations, and traditional mathematical analysis. I am also investigating the complementary perspectives provided by machine learning and human cognition: the brain and its evolutionary development provide tantalizing hints of new possibilities in machine learning, while scientific efforts to understand the power and limitations of machine learning and deep learning provide powerful new guidance to understand how the brain accomplishes analogous tasks. I am particularly interested in understanding the cerebellum's algorithmic role in the brain. Teaching: In the fall, I teach Algorithms ; in the spring I usually teach a graduate reading seminar, CSCI 2951M. diff --git a/src/data/compiled_bios/3383.txt b/src/data/compiled_bios/3383.txt new file mode 100644 index 0000000000..2064dbbd31 --- /dev/null +++ b/src/data/compiled_bios/3383.txt @@ -0,0 +1 @@ + Pages at this location are redirected to /people/avandam . diff --git a/src/data/compiled_bios/3384.txt b/src/data/compiled_bios/3384.txt new file mode 100644 index 0000000000..1b4524fd40 --- /dev/null +++ b/src/data/compiled_bios/3384.txt @@ -0,0 +1 @@ + Stan Zdonik Professor of Computer Science Stan specializes in database management systems . His work addresses new applications by applying data management techniques to novel database architectures. Additional Information: [Research Profile] [Wikipedia] Contact Info: Email: sbz@cs.brown.edu Phone: 401-863-7648 Fax: 401-863-7657 Mailing Address: Box 1910, Computer Science Department Brown University Providence, RI 02912 USA Research Interests: Database Systems Alternative Database Architectures Data Streams Complex Analytics Transaction Processing Recent Projects: SciDB ( Paradigm4 ) H-Store NewSQL DBMS ( VoltDB ) C-Store DBMS ( Vertica Co-Founder) Aurora / Borealis ( StreamBase Co-Founder) Publications: Research Group List DBLP Teaching: Database Management Systems (Fall) Advanced Topics in Database Management (Spring) Organizations: Boston Bluegrass Union (Co-Founder/President) International Bluegrass Music Association (President) Association for Computing Machinery (Fellow) diff --git a/src/data/compiled_bios/3385.txt b/src/data/compiled_bios/3385.txt new file mode 100644 index 0000000000..8809a3d183 --- /dev/null +++ b/src/data/compiled_bios/3385.txt @@ -0,0 +1 @@ + Researchers@Brown Researchers@Brown Search Search Search Advanced search Manage your Profile Bahar, R. title="Email Ruth_Bahar@brown.edu Overview Publications Research Background Affiliations Teaching View All Curriculum Vitae [PDF] R. Iris Bahar Professor of Engineering, Professor of Computer Science Overview R. Iris Bahar received the B.S. and M.S. degrees in computer engineering from the University of Illinois, Urbana-Champaign, and the Ph.D. degree in electrical and computer engineering from the University of Colorado, Boulder. Before entering the Ph.D program at CU-Boulder, she was with Digital Equipment Corporation, responsible for the hardware implementation of their latest processor. In 1996 she joined the Division of Engineering, Brown University, as an Assistant Professor. In 2003 she was promoted to Associate Professor and in 2012 to Full Professor. She is a recipient of the National Science Foundation CAREER award. Her research interests include computer architecture; computer-aided design for synthesis, verification and low-power applications;design, test, and reliability issues for nanoscale systems; and most recently, design of robotic systems. Brown Affiliations Computer Science Engineering Research Areas computer architecture | low power design | reliable computing | robotics Publications Visualize it View All (93) Other (7) Conference Paper (56) Article (30) Donato, Marco, Bahar, R. Iris, Patterson, William R., Zaslavsky, Alexander A Sub-Threshold Noise Transient Simulator Based on Integrated Random Telegraph and Thermal Noise Modeling. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems/IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 2018; 37 (3) : 643-656. Full Text Harris, Christopher B., Bahar, R. Iris Towards the Simulation Based Design and Validation of Mobile Robotic Cyber-Physical Systems. Journal of Low Power Electronics/Journal of Low Power Electronics. 2018; 14 (1) : 148-156. Full Text Harris, Christopher B., Bahar, R. Iris A Research Tool for the Power and Performance Analysis of Sensor-Based Mobile Robots. 2017 New Generation of CAS (NGCAS)/2017 New Generation of CAS (NGCAS). 2017; Full Text Papagiannopoulou, Dimitra, Marongiu, Andrea, Moreshet, Tali, Herlihy, Maurice, Bahar, R. Iris Edge-TM. ACM Transactions on Embedded Computing Systems/ACM Transactions on Embedded Computing Systems. 2017; 16 (5s) : 1-18. Full Text Whang, Sungseob, Rachford, Tymani, Papagiannopoulou, Dimitra, Moreshet, Tali, Bahar, R. Iris Evaluating critical bits in arithmetic operations due to timing violations. 2017 IEEE High Performance Extreme Computing Conference (HPEC)/2017 IEEE High Performance Extreme Computing Conference (HPEC). 2017; Full Text Tann, Hokchhay, Hashemi, Soheil, Bahar, R. Iris, Reda, Sherief Hardware-Software Codesign of Accurate, Multiplier-free Deep Neural Networks. Proceedings of the 54th Annual Design Automation Conference 2017 on - DAC '17/Proceedings of the 54th Annual Design Automation Conference 2017 on - DAC '17. 2017; Full Text Hashemi, Soheil, Anthony, Nicholas, Tann, Hokchhay, Bahar, R. Iris, Reda, Sherief Understanding the impact of precision quantization on the accuracy and energy of neural networks. Design, Automation & Test in Europe Conference & Exhibition (DATE), 2017/Design, Automation & Test in Europe Conference & Exhibition (DATE), 2017. 2017; Full Text Donato, Marco, Bahar, R. Iris, Patterson, William, Zaslavsky, Alexander A fast simulator for the analysis of sub-threshold thermal noise transients. Proceedings of the 53rd Annual Design Automation Conference on - DAC '16/Proceedings of the 53rd Annual Design Automation Conference on - DAC '16. 2016; Full Text Hashemi, Soheil, Bahar, R. Iris, Reda, Sherief A low-power dynamic divider for approximate applications. Proceedings of the 53rd Annual Design Automation Conference on - DAC '16. 2016; Full Text Nepal, Kumud, Hashemi, Soheil, Tann, Hokchhay, Bahar, R. Iris, Reda, Sherief Automated High-Level Generation of Low-Power Approximate Computing Circuits. IEEE Transactions on Emerging Topics in Computing. 2016; : 1-1. Full Text Han, Xijing, Donato, Marco, Bahar, R. Iris, Zaslavsky, Alexander, Patterson, William Design of Error-Resilient Logic Gates with Reinforcement Using Implications. Proceedings of the 26th edition on Great Lakes Symposium on VLSI - GLSVLSI '16/Proceedings of the 26th edition on Great Lakes Symposium on VLSI - GLSVLSI '16. 2016; Full Text Ulusel, Onur, Picardo, Christopher, Harris, Christopher B., Reda, Sherief, Bahar, R. Iris Hardware acceleration of feature detection and description algorithms on low-power embedded platforms. 2016 26th International Conference on Field Programmable Logic and Applications (FPL). 2016; Full Text Tann, Hokchhay, Hashemi, Soheil, Bahar, R. Iris, Reda, Sherief Runtime configurable deep neural networks for energy-accuracy trade-off. Proceedings of the Eleventh IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis - CODES '16. 2016; Full Text Carle, Thomas, Papagiannopoulou, Dimitra, Moreshet, Tali, Marongiu, Andrea, Herlihy, Maurice, Bahar, R. Iris Thrifty-malloc: A HW/SW Codesign for the Dynamic Management of Hardware Transactional Memory in Embedded Multicore Systems. Proceedings of the International Conference on Compilers, Architectures and Synthesis for Embedded Systems - CASES '16. 2016; Full Text Donato, Marco, Bahar, R. Iris, Patterson, William, Zaslavsky, Alexander A Simulation Framework for Analyzing Transient Effects Due to Thermal Noise in Sub-Threshold Circuits. Proceedings of the 25th edition on Great Lakes Symposium on VLSI - GLSVLSI '15. 2015; Full Text Hashemi, Soheil, Bahar, R. Iris, Reda, Sherief DRUM: A Dynamic Range Unbiased Multiplier for approximate applications. 2015 IEEE/ACM International Conference on Computer-Aided Design (ICCAD). 2015; Full Text Papagiannopoulou, Dimitra, Capodanno, Giuseppe, Moreshet, Tali, Herlihy, Maurice, Bahar, R. Iris Energy-Efficient and High-Performance Lock Speculation Hardware for Embedded Multicore Systems. ACM Transactions on Embedded Computing Systems. 2015; 14 (3) : 1-27. Full Text Papagiannopoulou, Dimitra, Marongiu, Andrea, Moreshet, Tali, Benini, Luca, Herlihy, Maurice, Bahar, Iris Playing with Fire: Transactional Memory Revisted for Error-Resilient and Energy-Efficient MPSoC Execution. Proceedings of the 25th edition on Great Lakes Symposium on VLSI - GLSVLSI '15. 2015; Full Text Nepal, Kundan, Alhelaly, Soha, Dworak, Jennifer, Bahar, R. Iris, Manikas, Theodore, Gui, Ping Repairing a 3-D Die-Stack Using Available Programmable Logic. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 2015; 34 (5) : 849-861. Full Text Nepal, Kumud, Li, Yueting, Bahar, R. Iris, Reda, Sherief ABACUS: A technique for automated behavioral synthesis of approximate computing circuits. Design, Automation & Test in Europe Conference & Exhibition (DATE), 2014. 2014; Full Text Ulusel, Onur, Nepal, Kumud, Bahar, R. Iris, Reda, Sherief Fast Design Exploration for Performance, Power and Accuracy Tradeoffs in FPGA-Based Accelerators. TRETS. 2014; 7 (1) : 1-22. Full Text Papagiannopoulou, Dimitra, Moreshet, Tali, Marongiu, Andrea, Benini, Luca, Herlihy, Maurice, Iris Bahar, R. Speculative synchronization for coherence-free embedded NUMA architectures. 2014 International Conference on Embedded Computer Systems: Architectures, Modeling, and Simulation (SAMOS XIV). 2014; Full Text Nepal, Kundan, Shen, Xi, Dworak, Jennifer, Manikas, Theodore, Bahar, R. Iris Built-in Self-Repair in a 3D die stack using programmable logic. 2013 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFTS). 2013; Full Text Papagiannopoulou, D., Prasertsom, P., Bahar, I. Flexible data allocation for scratch-pad memories to reduce NBTI effects. International Symposium on Quality Electronic Design (ISQED). 2013; Full Text Papagiannopoulou, Dimitra, Bahar, R. Iris, Moreshet, Tali, Herlihy, Maurice, Marongiu, Andrea, Benini, Luca Transparent and energy-efficient speculation on NUMA architectures for embedded MPSoCs. Proceedings of the First International Workshop on Many-core Embedded Systems - MES '13. 2013; Full Text Donato, Marco, Cremona, Fabio, Jin, Warren, Bahar, R. Iris, Patterson, William, Zaslavsky, Alexander, Mundy, Joseph A noise-immune sub-threshold circuit design based on selective use of Schmitt-trigger logic. Proceedings of the great lakes symposium on VLSI - GLSVLSI '12. 2012; Full Text Nepal, Kumud, Ulusel, Onur, Bahar, R. Iris, Reda, Sherief Fast Multi-Objective Algorithmic Design Co-Exploration for FPGA-based Accelerators. 2012 IEEE 20th International Symposium on Field-Programmable Custom Computing Machines. 2012; Full Text Le, Roto, Mundy, Joseph L., Bahar, R. Iris High Performance Parallel JPEG2000 Streaming Decoder Using GPGPU-CPU Heterogeneous System. 2012 IEEE 23rd International Conference on Application-Specific Systems, Architectures and Processors. 2012; Full Text Ferri, Cesare, Papagiannopoulou, Dimitra, Bahar, R. Iris, Calimera, Andrea NBTI-Aware Data Allocation Strategies for Scratchpad Based Embedded Systems. Journal of Electronic Testing. 2012; 28 (3) : 349-363. Full Text Jannaty, Pooya, Sabou, Florian C., Le, Son T., Donato, Marco, Bahar, R. Iris, Patterson, William, Mundy, Joseph, Zaslavsky, Alexander Shot-Noise-Induced Failure in Nanoscale Flip-Flops Part II: Failure Rates in 10-nm Ultimate CMOS. IEEE Trans. Electron Devices. 2012; 59 (3) : 807-812. Full Text Jannaty, Pooya, Sabou, Florian C., Le, Son T., Donato, Marco, Donato, R. Iris, Donato, William, Mundy, Joseph, Zaslavsky, Alexander Shot-Noise-Induced Failure in Nanoscale Flip-FlopsPart I: Numerical Framework. IEEE Trans. Electron Devices. 2012; 59 (3) : 800-806. Full Text Dworak, Jennifer, Nepal, Kundan, Alves, Nuno, Shi, Yiwen, Imbriglia, Nicholas, Iris Bahar, R. Using implications to choose tests through suspect fault identification. ACM Trans. Des. Autom. Electron. Syst.. 2012; 18 (1) : 1-19. Full Text Le, Roto, Bahar, Iris R., Mundy, Joseph L. A novel parallel Tier-1 coder for JPEG2000 using GPUs. 2011 IEEE 9th Symposium on Application Specific Processors (SASP). 2011; Full Text Alves, N., Shi, Y., Imbriglia, N., Dworak, J., Nepal, K., Bahar, R.I. Dynamic Test Set Selection Using Implication-Based On-Chip Diagnosis. 2011 Sixteenth IEEE European Test Symposium. 2011; Full Text Alves, N., Shi, Y., Dworak, J., Bahar, R. I., Nepal, K. Enhancing online error detection through area-efficient multi-site implications. 29th VLSI Test Symposium. 2011; Full Text Jannaty, Pooya, Sabou, Florian Cosmin, Bahar, R. Iris, Mundy, Joseph, Patterson, William R., Zaslavsky, Alexander Full Two-Dimensional Markov Chain Analysis of Thermal Soft Errors in Subthreshold Nanoscale CMOS Devices. IEEE Transactions on Device and Materials Reliability. 2011; 11 (1) : 50-59. Full Text Ferri, Cesare, Papagiannopoulou, Dimitra, Bahar, R. Iris, Calimera, Andrea NBTI-aware data allocation strategies for scratchpad memory based embedded systems. 2011 12th Latin American Test Workshop (LATW). 2011; Full Text Ferri, Cesare, Marongiu, Andrea, Lipton, Benjamin, Bahar, R. Iris, Moreshet, Tali, Benini, Luca, Herlihy, Maurice SoC-TM. Proceedings of the seventh IEEE/ACM/IFIP international conference on Hardware/software codesign and system synthesis - CODES+ISSS '11. 2011; Full Text Tadesse, Desta, Bahar, R. Iris, Grodstein, Joel Test Vector Generation for Post-Silicon Delay Testing Using SAT-Based Decision Problems. Journal of Electronic Testing. 2011; 27 (2) : 123-136. Full Text Alves, Nuno, Buben, Alison, Nepal, Kundan, Dworak, Jennifer, Bahar, R. Iris A Cost Effective Approach for Online Error Detection Using Invariant Relationships. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 2010; 29 (5) : 788-801. Full Text Calimera, A., Bahar, R.I., Macii, E., Poncino, M. Dual- assignment policies in ITD-aware synthesis. Microelectronics Journal. 2010; 41 (9) : 547-553. Full Text Ferri, Cesare, Wood, Samantha, Moreshet, Tali, Iris Bahar, R., Herlihy, Maurice Embedded-TM: Energy and complexity-effective hardware transactional memory for embedded multicore systems. Journal of Parallel and Distributed Computing. 2010; 70 (10) : 1042-1052. Full Text Ferri, Cesare, Wood, Samantha, Moreshet, Tali, Bahar, Iris, Herlihy, Maurice Energy and Throughput Efficient Transactional Memory for Embedded Multicore Systems. Automata, Languages and Programming. 2010; : 50-65. Full Text Alves, Nuno, Nepal, Kundan, Dworak, Jennifer, Bahar, R. Iris Improving the testability and reliability of sequential circuits with invariant logic. Proceedings of the 20th symposium on Great lakes symposium on VLSI - GLSVLSI '10. 2010; Full Text Jannaty, Pooya, Sabou, Florian C., Bahar, R. Iris, Mundy, Joseph, Patterson, William R., Zaslavsky, Alexander Numerical queue solution of thermal noise-induced soft errors in subthreshold CMOS devices. Proceedings of the 20th symposium on Great lakes symposium on VLSI - GLSVLSI '10. 2010; Full Text Calimera, Andrea, Bahar, R. Iris, Macii, Enrico, Poncino, Massimo Temperature-Insensitive Dual-Vth Synthesis for Nanometer CMOS Technologies Under Inverse Temperature Dependence. IEEE Trans. VLSI Syst.. 2010; 18 (11) : 1608-1620. Full Text Jannaty, Pooya, Sabou, Florian C., Gadlage, Matthew, Bahar, R. Iris, Mundy, Joseph, Patterson, William, Reed, Robert A., Weller, Robert A., Schrimpf, Ronald D., Zaslavsky, Alexander Two-Dimensional Markov Chain Analysis of Radiation-Induced Soft Errors in Subthreshold Nanoscale CMOS Devices. IEEE Trans. Nucl. Sci.. 2010; Full Text Tadesse, D., Grodstein, J., Bahar, R. I. AutoRex: An automated post-silicon clock tuning tool. 2009 International Test Conference. 2009; Full Text Alves, Nuno, Dworak, Jennifer, Bahar, Iris, Nepal, K. Compacting test vector sets via strategic use of implications. Proceedings of the 2009 International Conference on Computer-Aided Design - ICCAD '09. 2009; Full Text Alves, N., Nepal, K., Dworak, J., Bahar, R.I. Detecting errors using multi-cycle invariance information. 2009 Design, Automation & Test in Europe Conference & Exhibition. 2009; Full Text Ferri, Cesare, Bahar, Ruth Iris, Loghi, Mirko, Poncino, Massimo Energy-optimal synchronization primitives for single-chip multi-processors. Proceedings of the 19th ACM Great Lakes symposium on VLSI - GLSVLSI '09. 2009; Full Text Le, Roto, Reda, Sherief, Bahar, R. Iris High-performance, cost-effective heterogeneous 3D FPGA architectures. Proceedings of the 19th ACM Great Lakes symposium on VLSI - GLSVLSI '09. 2009; Full Text Bahar, R. Iris Introduction to special section. JETC. 2009; 5 (2) : 1-1. Full Text Sabou, F.C., Kazazis, D., Bahar, R.I., Mundy, J., Patterson, W.R., Zaslavsky, A. Markov Chain Analysis of Thermally Induced Soft Errors in Subthreshold Nanoscale CMOS Circuits. IEEE Transactions on Device and Materials Reliability. 2009; 9 (3) : 494-504. Full Text Reda, Sherief, Si, Aung, Bahar, R. Iris Reducing the leakage and timing variability of 2D ICcs using 3D ICs. Proceedings of the 14th ACM/IEEE international symposium on Low power electronics and design - ISLPED '09. 2009; Full Text Ferri, Cesare, Viescas, Amber, Moreshet, Tali, Bahar, R. Iris, Herlihy, Maurice Energy efficient synchronization techniques for embedded architectures. Proceedings of the 18th ACM Great Lakes symposium on VLSI - GLSVLSI '08. 2008; Full Text Calimera, A., Bahar, R. I., Macii, E., Poncino, M. Ensuring temperature-insensitivity of dual-Vt designs through ITD-aware synthesis. 2008 14th International Workshop on Thermal Inveatigation of ICs and Systems. 2008; Full Text Tadesse, Desta, Bahar, Iris, Grodstein, Joel Fast Measurement of the "Non-Deterministic Zone" in Microprocessor Debug Using Maximum Likelihood Estimation. 26th IEEE VLSI Test Symposium (vts 2008). 2008; Full Text Ferri, Cesare, Reda, Sherief, Bahar, R. Iris Parametric yield management for 3D ICs. JETC. 2008; 4 (4) : 1-22. Full Text Calimera, Andrea, Bahar, R. Iris, Macii, Enrico, Poncino, Massimo Reducing leakage power by accounting for temperature inversion dependence in dual-Vt synthesized circuits. Proceeding of the thirteenth international symposium on Low power electronics and design - ISLPED '08. 2008; Full Text Calimera, Andrea, Macii, Enrico, Poncino, Massimo, Bahar, R. Iris Temperature-insensitive synthesis using multi-vt libraries. Proceedings of the 18th ACM Great Lakes symposium on VLSI - GLSVLSI '08. 2008; Full Text Calimera, A., Duraisami, K., Sathanur, A., Sithambaram, P., Bahar, R. I., Macii, A., Macii, E., Poncino, M. Thermal-Aware Design Techniques for Nanometer CMOS Circuits. Journal of Low Power Electronics. 2008; 4 (3) : 374-384. Full Text Nepal, K., Alves, N., Dworak, J., Bahar, R.I. Using Implications for Online Error Detection. 2008 IEEE International Test Conference. 2008; Full Text Ferri, Cesare, Moreshet, Tali, Bahar, R. Iris, Benini, Luca, Herlihy, Maurice A hardware/software framework for supporting transactional memory in a MPSoC environment. ACM SIGARCH Computer Architecture News. 2007; 35 (1) : 47. Full Text Tadesse, D., Sheffield, D., Lenge, E., Bahar, R.I., Grodstein, J. Accurate Timing Analysis using SAT and Pattern-Dependent Delay Models. 2007 Design, Automation & Test in Europe Conference & Exhibition. 2007; Full Text Bahar, R.I., Lau, C., Hammerstrom, D., Marculescu, D., Harlow, J., Orailoglu, A., Joyner, W.H., Pedram, M. Architectures for silicon nanoelectronics and beyond. Computer. 2007; 40 (1) : 25-33. Full Text Nepal, K., Bahar, R. I., Mundy, J., Patterson, W. R., Zaslavsky, A. Designing Nanoscale Logic Circuits Based on Markov Random Fields. Journal of Electronic Testing. 2007; 23 (2-3) : 255-266. Full Text Ferri, Cesare, Sherief Reda, None, R. Iris Bahar, None Strategies for improving the parametric yield and profits of 3D ICs. 2007 IEEE/ACM International Conference on Computer-Aided Design. 2007; Full Text Nepal, K., Bahar, R. I., Mundy, J., Patterson, W. R., Zaslavsky, A. Techniques for Designing Noise-Tolerant Multi-Level Combinational Circuits. 2007 Design, Automation & Test in Europe Conference & Exhibition. 2007; Full Text Li, H., Mundy, J., Patterson, W., Kazazis, D., Zaslavsky, A., Bahar, R. I. Thermally-induced soft errors in nanoscale CMOS circuits. 2007 IEEE International Symposium on Nanoscale Architectures. 2007; Full Text Stojanovic, V., Iris Bahar, R., Dworak, J., Weiss, R. A cost-effective implementation of an ECC-protected instruction queue for out-of-order microprocessors. 2006 43rd ACM/IEEE Design Automation Conference. 2006; Full Text Nepal, K., Bahar, R.I., Mundy, J., Patterson, W.R., Zaslavsky, A. Designing MRF based Error Correcting Circuits for Memory Elements. Proceedings of the Design Automation & Test in Europe Conference. 2006; Full Text Moreshet, Tali, Bahar, R. Iris, Herlihy, Maurice Energy implications of multiprocessor synchronization. Proceedings of the eighteenth annual ACM symposium on Parallelism in algorithms and architectures - SPAA '06. 2006; Full Text Nepal, K., Bahar, R.I., Mundy, J., Patterson, W.R., Zaslavsky, A. MRF Reinforcer: A Probabilistic Element for Space Redundancy in Nanoscale Circuits. IEEE Micro. 2006; 26 (5) : 19-27. Full Text Nepal, K., Bahar, R. I., Mundy, J., Patterson, W. R., Zaslavsky, A. Optimizing noise-immune nanoscale circuits using principles of Markov random fields. Proceedings of the 16th ACM Great Lakes symposium on VLSI - GLSVLSI '06. 2006; Full Text Hui-Yuan Song, None, Nepal, K., Bahar, R.I., Grodstein, J. Timing analysis for full-custom circuits using symbolic DC formulations. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 2006; 25 (9) : 1815-1830. Full Text Bahar, R. Iris Trends and Future Directions in Nano Structure Based Computing and Fabrication. 2006 International Conference on Computer Design. 2006; Full Text Nepal, K., Bahar, R.I., Mundy, J., Patterson, W.R., Zaslavsky, A. Designing logic circuits for probabilistic computation in the presence of noise. Proceedings. 42nd Design Automation Conference, 2005.. 2005; Full Text Moreshet, Tali, Bahar, R. Iris, Herlihy, Maurice Energy reduction in multiprocessor systems using transactional memory. Proceedings of the 2005 international symposium on Low power electronics and design - ISLPED '05. 2005; Full Text Bahar, R.I., Hui-Yuan Song, None, Nepal, K., Grodstein, J. Symbolic failure analysis of complex CMOS circuits due to excessive leakage current and charge sharing. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 2005; 24 (4) : 502-515. Full Text Bai, Yu, Bahar, R. Iris A low-power in-order/out-of-order issue queue. ACM Trans. Archit. Code Optim.. 2004; 1 (2) : 152-179. Full Text Moreshet, T., Bahar, R.I. Effects of speculation on performance and issue queue design. IEEE Trans. VLSI Syst.. 2004; 12 (10) : 1123-1126. Full Text Mehta, N., Singer, B., Bahar, R.I., Leuchtenburg, M., Weiss, R. Fetch halting on critical load misses. IEEE International Conference on Computer Design: VLSI in Computers and Processors, 2004. ICCD 2004. Proceedings.. 2004; Full Text Yu Bai, None, Bahar, R.I. Reducing issue queue power for multimedia applications using a feedback control algorithm. IEEE International Conference on Computer Design: VLSI in Computers and Processors, 2004. ICCD 2004. Proceedings.. 2004; Full Text Nepal, Kundan, Song, Hui-Yuan, Bahar, R. Iris, Grodstein, Joel RESTA. Proceedins of the 14th ACM Great Lakes symposium on VLSI - GLSVLSI '04. 2004; Full Text Yu Bai, None, Bahar, R.I. A dynamically reconfigurable mixed in-order/out-of-order issue queue for power-aware microprocessors. IEEE Computer Society Annual Symposium on VLSI, 2003. Proceedings.. 2003; Full Text Moreshet, Tali, Bahar, R. Iris Power-aware issue queue design for speculative instructions. Proceedings of the 40th conference on Design automation - DAC '03. 2003; Full Text Song, H.-Y., Bohidar, S., Bahar, R.I., Grodstein, J. Symbolic failure analysis of custom circuits due to excessive leakage current. Proceedings 21st International Conference on Computer Design. 2003; Full Text Bahar, R. Iris, Manne, Srilatha Power and energy reduction via pipeline balancing. Proceedings of the 28th annual international symposium on Computer architecture - ISCA '01. 2001; Full Text Bahar, R. Iris, Lampe, Ernest T., Macii, Enrico Power optimization of technology-dependent circuits based on symbolic computation of logic implications. ACM Trans. Des. Autom. Electron. Syst.. 2000; 5 (3) : 267-293. Full Text Bahar, R.I., Hyunwoo Cho, None, Hachtel, G.D., Macii, E., Somenzi, F. Symbolic timing analysis and resynthesis for low power of combinational circuits containing false paths. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 1997; 16 (10) : 1101-1115. Full Text Bahar, R.I., Frohm, E.A., Gaona, C.M., Hachtel, G.D., Macii, E., Pardo, A., Somenzi, F. Algebraic decision diagrams and their applications. Proceedings of 1993 International Conference on Computer Aided Design (ICCAD). 1993; Full Text Badeau, R.W., Bahar, R.I., Bernstein, D., Biro, L.L., Bowhill, W.J., Brown, J.F., Case, M.A., Castelino, R.W., Cooper, E.M., Delaney, M.A., Deverell, D.R., Edmonson, J.H., Ellis, J.J., Fischer, T.C., Fox, T.F., Gowan, M.K., Gronowski, P.E., Herrick, W.V., Jain, A.K., Meyer, J.E., Miner, D.G., Partovi, H., Peng, V., Preston, R.P., Somanathan, C., Stamm, R.L., Thierauf, S.C., Uhler, G.M., Wade, N.D., Wheeler, W.R. A 100-MHz macropipelined VAX microprocessor. IEEE J. Solid-State Circuits. 1992; 27 (11) : 1585-1598. Full Text Research Research Overview Iris Bahar's research interests lie broadly in the areas of computer architecture, electronic design automation, and digital circuit design. In particular, she is working on developing new approaches to reduce power dissipation and improve reliability in high-performance processors, including embedded multiprocessors and nanocomputing systems. In addition, she is working on methods to improve the accuracy of timing analyzers used for verifying circuits designs.Her recent interests have led her to consider robotic system design, and how these systems can benefit from energy-efficient design techniques. Research Statement The following is a summary of some of Dr. Bahar's reserch projects: Energy Efficient Transactional Memory Techniques for Embedded Architectures Because many embedded devices run on batteries, energy efficiency is perhaps the single most important criterion for evaluating hardware and software effectiveness in embedded devices. In this project, we are developing energy-efficient implementations using transactional memory on an embedded platform. Most recently, we have explored how the transactional memory framework can be used to support error recovery caused by aggressive use of voltage over-scaling. We also explored implementing more effect memory allocation methods that may be used on top of transactional memory.This work is being supported by NSF. Concurrent Processing-in-Memory Architectures A Processing-In-Memory (PIM) architecture consists of one or more simple processors each with its own memory. PIM modules are best viewed as accelerators , providing powerful yet specialized enhancements to existing systems running existing software. This project has the dual aim of adapting highly-concurrent data structures to PIM architectures, and of adapting PIM architectures to the needs of todays concurrent software. Modeling Thermal Noise Effects in Nanoscale Circuits and Designing Noise Tolerant Circuits Electrical noise will play an increasingly critical role in future nanoscale CMOS circuit operation characterized by lower supply voltages and smaller device sizes. Both of these downscaling approaches reduce the margin of immunity to thermal noise, alpha particle strikes, and threshold voltage variations. This project investigates noise effects in electronic circuits. Recently, we have beendeveloping new modeling techniques to capture transient noise effects due to thermal and RTS noise.The project also explores new approaches for noise-immune circuit design. This work is being supported by NSF. Robust Robot Perception The goal of this project is to implement new algorithms in hardware and software to support accurate and energy-efficient robot perception. In particular, perception is a critical capability to enable purposeful goal-directed manipulation for autonomous robots. Object detection and recognition techniques used for robot perception have greatly improved over the past few years. However, these improvements have often come at the expense of significant energy consumption and computational inefficiency. In order to achieve real-time energy-efficient computing for these autonomous robots, we need to rethink not just the perception algorithms themselves, but also how they are implemented in hardware and the computational resources allocated to their execution. Building Design Exploration and Analysis Tool for Vision-based Robotic Systems The goal of this project is to implement a modeling framework for the development of specialized system-on-chip (SoC) modules for lightweight autonomous senor-based robotic systems. Such a tool will be able to guide in the design of architectures for general purpose processors and graphics processors as well as dedicated or reconfigurable hardware modules optimized to meet the specific performance and system requirements of the robotic system. Initial funding for thiswork was provided through a Brown SEED grant. Techniques for Built-in Self-Repair in 3D Die Stacks Using Programmable Logic Three-dimensional stacked integrated circuits (ICs) hold much promise for increasing system performance. However, they are also difficult to test and assemble, leading to yield issues. This project investigates the use of unused resources within the 3D stack to replace defective portions of a die. In particular, we are exploring techniques for error detection, different levels of granularity for replacement, and optimal use of reconfigurable logic to repair the errors. This work has received support from NSF. Funded Research Current Grants: NSF grant: Effects of Small-scale Noise in Ultimate CMOS: Simulation Frameworks, Noise-Immune Circuit Designs, and Experimental Validation, Principal investigators: R. I. Bahar (PI), A. Zaslavsky, and W. R. Patterson. Amount: $360,000, over 3 years. Selected Completed Grants: Brown Seed grant Enabling Autonomous Flight of Drones in Complex, Unpredictable Environments, Principal investigators: R. I. Bahar (PI), S. Reda, J. Kellner, O. C. Jenkins. Total amount: $80,000 over 12 months. NSF grant entitled Collaborative Research: Transparent and Energy-Efficient Speculation on NUMA Architectures for Embedded Multiprocessor Systems, Principal investigators: R. I. Bahar (PI) and T. Moreshet (Swarthmore). Award amount: $500,000, over 3 years. NSF grant entitled Automatic High-Level Synthesis of Approximate Computing Circuits, Principal investigators: S. Reda (PI) and R. I. Bahar. Total amount: $449,998 over 3 years. DTRA/ONR grant entitled "Design Science for Radiation-Effects Rate Prediction and Development of Error-Immune Circuitry," Principal investigators: R. I. Bahar (PI), A. Zaslavsky, J. Mundy, and W. Patterson, R. Schrimpf, R. Weller, R. Reed, M. Alles, B. Bhuva. Award date: March 2010. Award amount: $1,400,000 ARO/ONR/AFOSR equipment grant entitled "DURIP: An Infrared System for Thermal-Driven Research in Computer Vision" Principal investigators: S. Reda, R. I. Bahar, and J. Mundy. Award date: March 2009. Award amount: $126,590. NSF/SRC grant entitled "Collaborative Research: Energy-Aware Memory Synchronization for Embedded Mulicore Systems", Principal investigators: R. I. Bahar (PI), M. Herlihy (co-PI), and T. Moreshet (co-PI, Swarthmore College). Award date: August 2009. Award amount: $376,643. NSF grant entitled "SHF: Small: Collaborative Research: Using Identified Circuit Invariance for Online Error Detection", Principal investigators: J. Dworak (PI), R. I. Bahar (co-PI), and K. Nepal (co-PI, Bucknell University). Award date: August 2009. Award amount: $476,813. DARPA subcontract grant entitled "Wide Area Video Motion Blur Elimination" Principal investigators: R. I. Bahar (PI), J. Mundy and S. Reda. Award date: March 2010. Award amount: $180,000 National Science Foundation Grant under Nanotechnology Interdisciplinary Research Teams (NIRT) entitled "NIRT: Fault-tolerant, Probabilistic Computing with Markov Random Field Architectures and CMOS Nanodevices" Principal investigators: R. I. Bahar, J. Mundy, W. Patterson, and A. Zaslavsky. Award date: September 2005. Award amount: $317,000. Intel Corporation grant entitled "Fast, Accurate Symbolic Timing Analysis for Custom Circuits." Principal investigator, R. Iris Bahar. Award date: October 2005. Award amount: $75,000. NSF Grant in the area of Nanotechnology Exploratory Research entitled "NER: Y-Junction Nanotube-based Computer Devices and Architectures" Principal investigators, R. Iris Bahar, Jie Chen and Joseph Mundy. Award date: July 2003. Award amount: $100,000. NSF Grant in the area of Design Automation entitled "Using Symbolic DC Analysis to Evaluate Complex Custom Circuit Designs." Principal investigator, R. I. Bahar. Award date: July 2002. Award amount: $160,000. NSF Grant in the area of Computer Systems Architecture entitled "Combining Hardware and Software Monitoring for Improved Power and Performance Tuning" Principal investigators, R. I. Bahar and R. Weiss. Award date: August 2003. Award amount: $160,000. NSF Grant under Nanotechnology Exploratory Research entitled "NER: Exploring Nanodevices for Probabilistic Computing Architectures." Principal investigators: Alexander Zaslavsky, R. Iris Bahar, Jie Chen and Joseph Mundy. Award date: August 2004. Award amount: $100,000. NSF Early Career Development Grant (CAREER) proposal entitled "(Re)Configurable Architectures for High Performance and Low Power." Principal investigator, R. I. Bahar. 6/985/03. Award amount: $214,000. NSF Professional Opportunities for Women in Research and Education (POWRE) award entitled "Integration of Non-Conventional CMOS Structures into Fully-Automated Synthesis Tools." Principal investigator, R. I. Bahar. 9/985/00. Award amount: $75,000. Design Automation Graduate Scholarship entitled "Using Implications to Drive Low-Power Optimization of Technology-Dependent Circuits," sponsored by the Design Automation Conference. 9/975/98. Award amount: $12,000. Richard B. Salomon Faculty Research Award for project entitled "Low-Power VLSI: Designs for the Future." 9/975/98. Award amount: $14,500. Microsoft Grant for Teaching and Research. The goal of this grant was to become familiar with Windows-based real-time operating systems by using it for operating a life-like robotic head for speech recognition experiments. Principal investigators, R. I. Bahar and H.Silverman. Award date: June 2003. Award amount: $25,000 Scholarly Work See list of selected publications. Background Education and Training Year Degree Institution 1995 PhD University of Colorado at Boulder 1987 MS University of Illinois at Urbana-Champaign 1986 BS University of Illinois at Urbana-Champaign Honors and Awards Distinguished Scientist Award from the Association of Computing Machinery (ACM), 2012 Awarded Senior Membership to the IEEE, 2012 NSF Early Career Development (CAREER) Award, 1998. Patricia Robert Harris Fellowship to support graduate studies, 19921995. Eta Kappa Nu, Electrical Engineering Honor Society, since 1985. Tau Beta Pi, Engineering Honor Society, since 1985. Affiliations Visualize it Collaborators Name Title Herlihy, Maurice Professor of Computer Science Jenkins, Odest Associate Professor of Computer Science, Associate Professor of Engineering Kellner, James Peggy and Henry D. Sharpe Assistant Professor of Environmental Studies, Assistant Professor of Ecology and Evolutionary Biology and Environment and Society, Assistant Professor of Ecology and Evolutionary Biology and Environment and Society Mundy, Joseph Professor of Engineering (Research) Patterson, William Senior Lecturer in Engineering Reda, Sherief Associate Professor of Engineering, Associate Professor of Computer Science Zaslavsky, Alexander Professor of Engineering, Professor of Physics Affiliations Institute of Electrical and Electronic Engineers (IEEE) Association of Computing Machinery (ACM) Teaching Teaching Overview Professor Bahar's teaching interests include courses on computer architecture, integrated circuit design, electronic design automation, and nanocomputing (or how to effectively design computing systems using various emerging nanotechnologies). She has also been involved in teaching the introductory engineering course at Brown. Teaching ENGN 1600 - Design and Implementation of Very Large-Scale Integrated Systems ENGN 1630 - Digital Electronics Systems Design ENGN 1931I - Design of Robotic Systems ENGN 2912E - Low Power VLSI System Design About Help Brown University Feedback 2017 Brown University | Terms of Use | Powered by VIVO diff --git a/src/data/compiled_bios/3386.txt b/src/data/compiled_bios/3386.txt new file mode 100644 index 0000000000..b0da6414b3 --- /dev/null +++ b/src/data/compiled_bios/3386.txt @@ -0,0 +1 @@ + Pages at this location are redirected to /people/rblumber . diff --git a/src/data/compiled_bios/3387.txt b/src/data/compiled_bios/3387.txt new file mode 100644 index 0000000000..206d28001b --- /dev/null +++ b/src/data/compiled_bios/3387.txt @@ -0,0 +1 @@ + Not Found The requested URL /Research/AI/people/carsten.html/ was not found on this server. Apache/2.2.15 (Red Hat) Server at brown.edu Port 80 diff --git a/src/data/compiled_bios/3388.txt b/src/data/compiled_bios/3388.txt new file mode 100644 index 0000000000..ab7548d2dc --- /dev/null +++ b/src/data/compiled_bios/3388.txt @@ -0,0 +1 @@ + Pedro Felipe Felzenszwalb Professor of Engineering and Computer Science Office: Barus & Holley 355 Phone: (401) 863-1531 Email: pff (at) brown.edu Office hours: Monday 3-4pm CV Research My main research interests are in computer vision, artificial intelligence, machine learning and discrete algorithms. I have worked on a range of different problems within computer vision, including the low-level problem of image restoration, the "mid-level" problem of image segmentation, and the high-level problem of object recognition. My research involves connections between computer vision and artificial intelligence to a variety of areas including combinatorial optimization, stochastic models, machine learning, and natural language processing. Papers Talk slides Code PhD Students 3D printing Teaching Fall 2018: Image Understanding (ENGN 1610) Spring 2017: Machine Learning (ENGN 2520 / CSCI 1420) Fall 2016: Image Understanding (ENGN 1610) Spring 2016: Topics in Optimization (ENGN 2912P) Fall 2015: Linear System Analysis (ENGN 1570) Spring 2015: Machine Learning (ENGN 2520 / CSCI 1420) Fall 2014: Linear System Analysis (ENGN 1570) Spring 2014: Topics in Optimization (ENGN 2912P) Fall 2013: Introduction to Engineering (ENGN 0030) Person detection in the PASCAL challenge (deformable part model) Curve detection with the min-cover algorithm Random shapes defined by a stochastic context-free grammar Contour completion with belief propagation Mailing address: Box D Brown University 184 Hope St. Providence, RI 02912 diff --git a/src/data/compiled_bios/3389.txt b/src/data/compiled_bios/3389.txt new file mode 100644 index 0000000000..252d74fcb6 --- /dev/null +++ b/src/data/compiled_bios/3389.txt @@ -0,0 +1 @@ + Caroline J. Klivans Associate Professor Applied Mathematics Brown University Associate Director ICERM office: 316 Division of Applied Math e-mail: Caroline_Klivans@brown.edu address: 182 George St. Providence RI 02906 phone: 401-863-3187 Sandpile configuration resulting from 10 million grains at the origin. Home Papers Teaching Research Interests Algebraic, Geometric, and Topological Combinatorics : Combinatorial aspects of simplicial complexes, discrete Laplacians, hyperplane arrangements, matroids, tilings, chip-firing models, quasisymmetric functions. CV The Mathematics of Chip Firing. A book on chip-firing published by CRC Press. Upcoming Events ICERM Semester Program Nonlinear Algebra Providence RI, Fall 2018. Discrete Math Days of the Northeast DMD NE URI 2018. Joint Mathematical Meetings 2019 Geometric and Topological Combinatorics Baltimore MD, Jan. 2019. AMS Regional Meeting 2019 Special Session on Chip-firing and Divisor Theory Hartford, CT, April 2019. Previous Events Previous Affiliations MSRI, research member, 2017. ICERM, research member, 2016. UChicago, research scholar, 2008-2011. Cornell University, visiting scholar, 2009-2010. UChicago, L.E. Dickson instructor, 2004-2008. Cornell University, instructor, spring 2004. MSRI, postdoctoral fellow, fall 2003. MIT, graduate student, 1999-2003. Cornell, undergraduate student, 1995-1999. diff --git a/src/data/compiled_bios/339.txt b/src/data/compiled_bios/339.txt new file mode 100644 index 0000000000..196434d819 --- /dev/null +++ b/src/data/compiled_bios/339.txt @@ -0,0 +1 @@ +Name: Doore, Karen:: Position: Senior Lecturer:: Degrees: M.S., Computer Science, University of Texas at Dallas, Richardson, TX; B.S., Material Science Engineering, University of Minnesota, Minneapolis, MN; Research Interests: Computer Science Education Research; Modeling and Simulation; Game Design and Development; Generative Art and Design; Major Honors and Awards: EEF Fellowship UT Dallas Computer Science Department; Best Poster Award (Tie) ACM SIGSIM PADS Conference, June 2014; Metallurgical Engineering Academic Scholarship, University of Illinois; Representative Publications: Doore, K 2015. Modeling-First Approach for Computer Science Instruction. In Proceedings of the eleventh annual International Conference on International Computing Education Research (ICER 15). ACM, New York, NY, USA, 255-256.; Doore, K., Vega D. and Fishwick P. 2015. A Media-Rich Curriculum for Modeling and Simulation. In Proceedings of the 3rd ACM Conference on SIGSIM-Principles of Advanced Discrete Simulation (SIGSIM-PADS 15). ACM, New York, NY, USA, 23-34.; Doore, K. and Fishwick, P. 2014. Prototyping an Analog Computing Representation of Predator Prey Dynamics. Proceedings of the 2014 Winter Simulation Conference (Piscataway, NJ, USA, 2014), 35613571a.; Howell, M., Vega, D., Doore, K. and Fishwick, P. 2014. Enhancing Model Interaction with Immersive and Tangible Representations: A Case Study Using the Lotka-volterra Model. Proceedings of the 2014 Winter Simulation Conference (Piscataway, NJ, USA, 2014), 35723583.; Notable Service: GSNTX Computer Science Girls Summer Camps, June 2014, 2015; diff --git a/src/data/compiled_bios/3390.txt b/src/data/compiled_bios/3390.txt new file mode 100644 index 0000000000..6e935f9b78 --- /dev/null +++ b/src/data/compiled_bios/3390.txt @@ -0,0 +1 @@ + Home News Members Current Alumni Research Papers Theses SW & DATA Classes Welcome to Scal able E nergy-Efficient Computing Laboratory (SCALE) Dear Visitor: Welcome to our group's website! Our research projects focus on advancing the scalability of computing chips and systems by making them more energy efficient. Current projects include: (1) emerging computing paradigms in molecular informatics and approximate computing; (2) energy-efficient processing for embedded deep learning, biometric security, computer vision and augmented reality systems; (3) thermal/power sensing, modeling and management for mobile SoCs and cloud servers; and (4) machine learning enabled silicon compilation. We have useful material available for download including lecture notes , publications , software tools and research data . We are looking forward to hearing from you. E-mail: sherief_reda (at) brown (dot) edu. Tel: 401-863-1455. Lab: 401-863-9467. Fax: 401-863-9039. Address: 184 Hope St, Providence, RI 02912. Positions available for postdocs, PhD students and internships Recent News: 2018/12: New book on approximate circuit design published 2018/10: Best paper award at IGSC 2018. 2018/07: Lab involvement in DARPA Electronic Resurgence Initiative (ERI) publicized ( article 1 , article 2 , article 3 , article4 ) 2018/06: Two new DARPA awards from POSH and IDEA programs. 2018/05: Congratulations for Dr. Reza Azimi for successfully defending his PhD thesis. 2018/05: Congratulations for Dr. Soheil Hashemi for successfully defending his PhD thesis. 2018/01: New grant from DARPA molecular informatics program. Recent Publications: DATE 2018: Approximate Computing for Biometric Security Systems: A Case Study on Iris Scanning DATE 2018: QoR-Aware Power Capping for Approximate Big Data Processing Sensors J: Blind Identification of Thermal Models and Power Sources from Thermal Measurements ICCAD 2017: LACore: A Supercomputing-Like Linear Algebra Accelerator for SoC-Based Designs Nature: 3D Integration Advances Computing Classes: ENGN2910A: Advanced Computer Architecture ENGN2911X: Reconfigurable Computing ENGN1640: Design of Computing Systems ENGN1600: Design and Implementation of VLSI Systems ENGN2912C: Future Directions in Computing ENGN291S40: Physical Design of Digital Integrated Circuit diff --git a/src/data/compiled_bios/3391.txt b/src/data/compiled_bios/3391.txt new file mode 100644 index 0000000000..c50f843adb --- /dev/null +++ b/src/data/compiled_bios/3391.txt @@ -0,0 +1 @@ + Data Management Lab Jump to content Log in | Deutsch Search: TU | Informatik | Data Management People Research Teaching Positions Publications You are here: TU Darmstadt Datamanagement Data Management Data Management People Research Teaching Positions Publications Data Management Data Management Group in November 2018 (Picture: Uwe Rhm) The Data Management Lab was founded in 2017 by Prof. Carsten Binnig and is part of the Department of Computer Science at TU Darmstadt in Darmstadt, Germany. TU Darmstadt is one of the leading technical universities in Germany. Its Computer Science department consistently ranks among the top 5 in Germany. TU Darmstadt offers a unique environment for research in data management due to strong cooperations with other groups like the Machine Learning Lab or Distributed Systems Programming Lab, as well as ample interdisciplinary interaction. Our lab page lists all team members . Please see our job listings if you are interested in working with us. Research We conduct research in several areas of databases and data management in conjunction with artificial intelligence (AI). The groups main focus areas are Systems for AI and AI for Systems . Teaching Our lab regularly offers courses, seminars and labs on various data management topics. Furthermore, we offer term projects and Bachelors and Masters thesis projects with different focus areas. News Our DPI paper was accepted to CIDR 2019 Our RDMA-Index paper was accepted to SIGMOD 2019 Contact Technische Universitt Darmstadt Data Management Prof. Dr. Carsten Binnig Work S1|03 3 Hochschulstr. 1 64289 Darmstadt work +49 6151 16-25601 carsten.binnig@cs.tu-... Mona Hajdu work +49 6151 16-25600 mona.hajdu@cs.tu-... Print | Legal note | Sitemap | Search | Privacy Policy diff --git a/src/data/compiled_bios/3392.txt b/src/data/compiled_bios/3392.txt new file mode 100644 index 0000000000..a242e9fd60 --- /dev/null +++ b/src/data/compiled_bios/3392.txt @@ -0,0 +1 @@ + Toggle navigation Perceiving Systems Institute Home Autonomous Motion Empirical Inference Haptic Intelligence Modern Magnetic Systems Perceiving Systems Physical Intelligence Autonomous Vision Autonomous Learning Dynamic Locomotion Embodied Vision Intelligent Control Systems Micro, Nano, and Molecular Systems Movement Generation and Control Physics for Inference and Optimization Probabilistic Numerics Rationality Enhancement Statistical Learning Theory Research Overview Virtual Humans and Animals Seeing and Understanding People Scenes, Structure and Motion Behavior, Goals and Action Learning and Inference Beyond Mocap Human Health Datasets and Code Robot Perception Group Holistic Vision Group Completed Publications Code/Data People News & Events News Events Talks Awards Facilities 4D Scanner 4D Face Scanner 4D Foot Scanner 3D Scanner Vicon Motion Capture Inertial Motion Capture Outdoor Motion Capture System Video Capture Computing Espresso Career Why MPI Current Jobs Ph.D Applicants Undergraduate Interns Trials (Participants Wanted) Art (Artist in Residence) About Department Principles Startups Contact Michael Black Director Perceiving Systems Office: N3.019 Max-Planck-Ring 4 72076 Tbingen Germany +49 7071 601 1801 black@tue.mpg.de michael_j_black Find me on Linkedin Find me on Google Scholar Follow me on Twitter Biography Research Students PostDocs Data Code Affiliations Contact Talks Publications Curriculum Vitae [pdf] Conflict of Interest Disclosure This includes any coporate activity within the last 5 years involving more than $5000 where I have a personal or professional interest or any role in which I have corporate responsibility. Corporate research funding (unrestricted): Intel, NVIDIA, Adobe, Facebook, and Amazon. Financial interests (stock): Amazon, Meshcapade. Commercial licensing of MPI technology where I am a co-inventor. Side employment: Amazon (20%, current), Body Labs Inc (20%, 2013-2017). Corporate boards: Body Labs Inc. (2013-2017). Citations Google Scholar citations Research Gate Semantic Scholar DBLP Biography Michael J. Black received his B.Sc. from the University of British Columbia (1985), his M.S. from Stanford (1989), and his Ph.D. in computer science from Yale University (1992). After research at NASA Ames and post-doctoral research at the University of Toronto, he joined the Xerox Palo Alto Research Center in 1993 where he later managed the Image Understanding Area and founded the Digital Video Analysis group. From 2000 to 2010 he was on the faculty of Brown University in the Department of Computer Science (Assoc. Prof. 2000-2004, Prof. 2004-2010). He is a founding director at the Max Planck Institute for Intelligent Systems in Tbingen, Germany, where he leads the Perceiving Systems department. He is also a Distinguished Amazon Scholar,an Honorarprofessor at the University of Tuebingen, and Adjunct Professor at Brown University. Black is a foreign member of the Royal Swedish Academy of Sciences. He is a recipient of the 2010 Koenderink Prize for Fundamental Contributions in Computer Vision and the 2013 Helmholtz Prize for work that has stood the test of time. His work has won several paper awards including the IEEE Computer Society Outstanding Paper Award (CVPR'91). His work received Honorable Mention for the Marr Prize in 1999 and 2005. His early work on optical flow has been widely used in Hollywood films including for the Academy-Award-winning effects in What Dreams May Come and The Matrix Reloaded. He has contributed to several influential datasets including the Middlebury Flow dataset , HumanEva , and the Sintel dataset . Black has coauthored over 200 peer-reviewed scientific publications. He is also active in commercializing scientific results, isan inventor on 10 issuedpatents, and has advised multiple startups. He uniquely combines computer vision, graphics, and machine learning to solve problems in the clothing industry.In 2013, heco-foundedBody Labs Inc., which used computer vision, machinelearning, and graphics technology licensed from his lab to commercialize "the body as a digital platform." Body Labs wasacquired by Amazonin 2017. Black's research interests in machine vision include optical flow estimation, 3D shape models, human shape and motion analysis, robust statistical methods, and probabilistic models of the visual world. In computational neuroscience his work focuses on probabilistic models of the neural code and applications of neural decoding in neural prosthetics. Short version Michael Black received his B.Sc. from the University of British Columbia (1985), his M.S. from Stanford (1989), and his Ph.D. from Yale University (1992). After post-doctoral research at the University of Toronto, he worked at Xerox PARC as a member of research staff and area manager. From 2000 to 2010 he was on the faculty of Brown University in the Department of Computer Science (Assoc. Prof. 2000-2004, Prof. 2004-2010). He is one of the founding directors at the Max Planck Institute for Intelligent Systems in Tbingen, Germany, where he leads the Perceiving Systems department.He is also a Distinguished Amazon Scholar,an Honorarprofessor at the University of Tuebingen, and Adjunct Professor at Brown University. His work has won several awards including the IEEE Computer Society Outstanding Paper Award (1991), Honorable Mention for the Marr Prize (1999 and 2005), the 2010 Koenderink Prize for Fundamental Contributions in Computer Vision, and the 2013 Helmholtz Prize for work that has stood the test of time. He is a foreign member of the Royal Swedish Academy of Sciences. In 2013 heco-foundedBody Labs Inc., which was acquired by Amazonin 2017. Even shorter version Michael Black received his B.Sc. from the University of British Columbia (1985), his M.S. from Stanford (1989), and his Ph.D. from Yale University (1992). He has held positions at the University of Toronto, Xerox PARC, and Brown Unviversity. He is one of the founding directors at the Max Planck Institute for Intelligent Systems in Tbingen, Germany, where he leads the Perceiving Systems department. He is a Distinguished Amazon Scholar,an Honorarprofessor at the University of Tuebingen, and Adjunct Professor at Brown University. His work has won several awards including the IEEE Computer Society Outstanding Paper Award (1991), Honorable Mention for the Marr Prize (1999 and 2005), the 2010 Koenderink Prize, and the 2013 Helmholtz Prize. He is a foreign member of the Royal Swedish Academy of Sciences. In 2013 heco-foundedBody Labs Inc., which was acquired by Amazonin 2017. Head shot [png] Education Yale University, New Haven, CT Ph.D., Computer Science, 1992. Stanford University, Stanford, CA M.S., Computer Science, 1989. The University of British Columbia, Vancouver, BC B.Sc., Honours Computer Science, 1985. Selected Awards/Honors Alumni Research Award University of British Columbia, Department of Computer Science, 2018. Royal Swedish Academy of Sciences Foreign member, Class for Engineering Sciences, since June 2015. 2013 Helmholtz Prize for the paper: Black, M. J., and Anandan, P., "A framework for the robust estimation of optical flow,''IEEE International Conference on Computer Vision, ICCV , pages 231-236, Berlin, Germany. May 1993. 2010 Koenderink Prize for Fundamental Contributions in Computer Vision, with Sidenbladh, H.and Fleet, D. J. for the paper"Stochastic tracking of 3D human figures using 2D image motion,''European Conference on Computer Vision, 2000. Best Paper Award, Eurographics 2017, for the paper"Sparse Inertial Poser: Automatic 3D Human Pose Estimation from Sparse IMUs", by von Marcard, T.,Rosenhahn, B., Black, M. J.,Pons-Moll, G. "Dataset Award" at the Eurographics Symposium on Geometry Processing 2016 , with F. Bogo, J. Romero, and M. Loper , for the paper "FAUST: Dataset and evaluation for 3Dmesh registration," CVPR 2014. Best Paper Award, International Conference on 3D Vision (3DV), 2015, with A.O.Ulusoy andA.Geiger , for the paper "Towards Probabilistic Volumetric Reconstruction using Ray Potentials." Best Paper Award, INI-Graphics Net, 2008, First Prize Winner of Category Research, with S. Roth for the paper "Steerable random fields." Best Paper Award, Fourth International Conference onArticulated Motion and Deformable Objects (AMDO-e 2006),with L. Sigal for the paper "Predicting 3D people from 2D pictures.'' Marr Prize, Honorable Mention , Int. Conf. on ComputerVision, ICCV-2005, Beijing, China, Oct. 2005with S. Roth for the paper "On the spatial statistics of optical flow.'' Marr Prize, Honorable Mention , Int. Conf. on ComputerVision, ICCV-99, Corfu, Greece, Sept. 1999with D. J. Fleet for the paper "Probabilistic detection and tracking of motion discontinuities.'' IEEE Computer Society, Outstanding Paper Award, Conference on Computer Vision and Pattern Recognition,Maui, Hawaii, June 1991with P. Anandan for the paper "Robust dynamic motion estimation over time.'' Commendation and Chief's Award , Henrico County Division of Police, County of Henrico, Virginia, April 19, 2007. University of Maryland, Invention of the Year, 1995 ,"Tracking and Recognizing Facial Expressions,''with Y. Yacoob. University of Toronto, Computer Science Students' Union Teaching Award for 1992-1993. Employment and Positions Held Max Planck Institute for Intelligent Systems Tbingen, Germany Director, 1/11 - present Managing Director, 2/13 - 6/15, 3/18 - 11/18 Amazon Tbingen, Germany Distinguished Amazon Scholar, 11/17 - present Eberhard Karls Universitt Tbingen, Faculty of Science, Department of Computer Science Tbingen, Germany Honorarprofessor, 05/22/12 - present B ody Labs Inc. New York, NY, USA Co-founder, Science Advisor, Member of the Board, 01/13- 10/2017 ETH Zrich, Dept. of Information Technology and Electrical Engineering Zrich, Switzerland Visting Professor, 04/2014 - 04/2016 Stanford University, Electrical Engineering Stanford, CA Visiting Professor, 5/11-4/12, 7/12-7/13 Brown University, Department of Computer Science, Providence, RI Adjunct Professor (Research), 1/11-present Professor, 7/04-12/10 Associate Professor, 7/00-6/04 My research addressedthe problem of estimating and explaining motion in image sequences. I developed methods detecting and tracking 2D and3D human motion including the introduction of particle filtering for 3D human tracking and belief propagation for 3D human pose estimation. I worked onprobabilistic models of images include thehigh-order Field of Experts model. I worked on 3D human shape estimation from images and video and developed applications of this technology. I also developed mathematical models for decoding neural signals. This included the first uses of particle filtering and Kalman filtering for decoding motor cortical neural activity and the first point-and-click cortical neural brain-machine-interface for people with paralysis. Xerox Palo Alto Research Center, Palo Alto, CA Area Manager, Image Understanding Area, 1/96-7/00 Member of Research Staff, 9/93-12/95 Research includedmodeling image changes (motion, illumination, specularity, occlusion, etc.) in video as a mixtureof causes. I developed methods ofmotion explanation; that is, the extraction of mid-level or high-level concepts from motion. This included the modeling and recognition of motion "features"(occlusion boundaries, moving bars, etc.), human facial expressions and gestures, and motion "texture"(plants, fire, water, etc.). I applied these methods to problems invideo indexing, motion for video annotation, teleconferencing, and gestural user interfaces. Other research includedrobust learning of image-based models, regularization with transparency, anisotropic diffusion, and the recovery of multiple shapes from transparent textures. University of Toronto, Toronto, Ontario Assistant Professor, Department of Computer Science, (8/92 - 9/93). Research included the application of mixture models to optical flow, detection and tracking of surface discontinuities using motion information, and robust surface recovery in dynamic environments. Yale University, (9/89-8/92) New Haven, CT Research Assistant, Department of Computer Science. Research in the recovery of optical flow, incremental estimation, temporal continuity, applications of robust statistics to optical flow, the relationship between robust statistics and line processes, the early detection of motion discontinuities, and the role of representation in computer vision. NASA Ames Research Center, (6/90-8/92) Moffett Field, CA Visiting Researcher, Aerospace Human Factors Research Division. Developed motion estimation algorithms in the context of an autonomous Mars landing and nap-of-the-earth helicopter flight and studied the psychophysical implications of a temporal continuity assumption. Advanced Decision Systems, (12/86-6/89) Mountain View, CA Computer Scientist, Image Understanding Group. Research on spatial reasoning for robotic vehicle route planning and terrain analysis. Vision research including perceptual grouping, object-based translational motion processing, the integration of vision and control for an autonomous vehicle, object modeling using generalized cylinders, and the development of an object-oriented vision environment. GTE Government Systems, (6/85-12/86) Mountain View, CA Engineer, Artificial Intelligence Group. Developed expert systems for multi-source data fusion and fault location. Miscellaneous, ('78-'85) Summer undergraduate researcher at UBC; park ranger's assistant; volunteer firefighter, busboy; and probably my worst job: cleaning dog kennels. Research Interests I am interested in motion. What does motion tell us about the structure of the world and how can we compute this from video? How do humans and animals move? How does the brain control complex movement? My work combines computervision, graphics and neuroscience to develop new models and algorithms to capture and analyze the motion of the world. My Computer Vision research addresses: the estimation of scene structure and physical properties from video; articulated human motion pose estimation and tracking; the estimation of human body shape from images and video; the representation and detection of motion discontinuities; the estimation of optical flow ; vision as inverse graphics. My Graphicsresearch addresses: virtual humans; next-generation motion capture; articulated and non-rigid shape representation; human and animal shape and motion capture; human animation, AR/VR; capture and animation of clothing. My Computational Neuroscience research addresses: modeling the neural control of reaching and grasping; novel neural decoding algorithms; neural prostheses and cortical brain-machine interfaces; markless animalmotion capture. I also work on industrial applications in Fashion Science : Body scanning and measurement; clothing sizing; cloth capture and modeling; virtual try-on. What is maybe unique about my work is the combination of the these themes. For example I study human motion from the inside (decoding neural activity in paralyzed humans) and the outside (with novel motion capture techniques). Current PhD students: O mid Taheri , MPI for Intelligent Systems, Tbingen Qianli Ma , Int. Max Planck Research School, Intelligent Systems, Tbingen Vassilis Choutas , MPI-ETH Center for Learning Systems, Co-supervised with Luc van Gool Ahmed Osman , Int. Max Planck Research School, Intelligent Systems, Tbingen Mohamed Hassan , MPI for Intelligent Systems, Tbingen Partha Ghosh , Int. Max Planck Research School, Intelligent Systems, Tbingen SoubhikSanyal , Int. Max Planck Research School, Intelligent Systems, Tbingen Daniel Cudeiro , MPI-ETH Center for Learning Systems, Co-supervised with Luc van Gool Nadine Regg , MPI-ETH Center for Learning Systems, Co-supervised with Konrad Schindler Eric Price , MPI for Intelligent Systems, Tbingen Yinghao Huang , MPI for Intelligent Systems, Tbingen Anurag Ranjan , MPI for Intelligent Systems, Tbingen Graduated PhD students: Jonas Wulff , Postdoctoral Researcher, MIT CSAIL Thesis: Model-based Optical Flow: Layers, Learning, and Geometry , University of Tbingen, April 2018 Matthew Loper , Amazon, Thesis: Human Shape Estimation using Statistical Body Models , University of Tbingen, May 2017 Silvia Zuffi , Research Scientist, IMATI-CNR, Institute for Applied Mathematics and Information Technologies, Milan Italy Thesis: Shape Models of the Human Body for Distributed Inference , Brown University, May 2015 Aggeliki Tsoli , Post doctoral researcher, FORTH Institute, Crete, Thesis: Modeling the Human body in 3D: Data Registration and Human Shape Representation , Department of Computer Science, Brown University, May 2014 Oren Freifeld , Assistant Professor, Dept. of Computer Science, Ben-Gurion Univ., Israel, Thesis: Statistics on Manifolds with Applications to Modeling Shape Deformations , Division of Applied Mathematics, Brown University, August 2013 Peng Guan , Senior Software Engineer, Google, Thesis: Virtual Human Bodies with Clothing and Hair: From Images to Animation , Department of Computer Science, Brown University, December 2012 Deqing Sun , Senior Research Scientist, NVIDIA Research, Thesis: From Pixels to Layers: Joint Motion Estimationand Segmentation , Department of Computer Science, Brown University, July 2012 Alexandru Balan , Xbox Incubation Researcher, Microsoft Thesis: Detailed Human Shape and Pose from Images , Department of Computer Science, Brown University, May 2010 Leonid Sigal, Associate Professor of Computer Science, Univ. of British Columbia (UBC) Thesis: Continuous-state graphical models for object localization, pose estimation and tracking Department of Computer Science, Brown University, May 2008 Stefan Roth , Professor, Dept. of Computer Science, TU Darmstadt Thesis: High-order Markov random fields for low-level vision . Dept. of Computer Science, Brown University, May 2007 Winner of the Joukowsky Family Foundation Outstanding Dissertation Award Frank Wood , Associate Professor of Computer Science, Univ. of British Columbia (UBC) Thesis: Nonparametric Bayesian modeling of neural data. Department of Computer Science, Brown University Hulya Yalcin , Assistant Professor, Department of Electronics and Communications Engineering, Istanbul Technical University, Turkey Thesis: Implicit models of moving and static surfaces , Division of Engineering, Brown University, May 2004 Wei Wu , Associate Professor, Dept. of Statistics, Florida State Thesis: Statistical models of neural coding in motor cortex, Division of Applied Math, Brown University. Co-supervised with David Mumford. May 2004. Fernando De la Torre , Research Associate Professor, CMU and Facebook, Thesis: Robust subspace learning for computer vision, La Salle School of Engineering. Universitat Ramon Llull, Barcelona, Spain. Jan. 2002 Hedvig Kjellstrom (nee Sidenbladh) , Professorof Comptuer Science, KTH, Sweden Thesis: Probabilistic Tracking and Reconstruction of 3D Human Motion in Monocular Video Sequences. Dept. of Numerical Analysis and Computer Science, KTH, Stockholm, Sweden 2001 Shanon Ju Thesis: Estimating image motion in layers: The Skin and Bones model. University of Toronto. Jan. 1999 Post doctoral researchers: Siyu Tang , MPI for Intelligent Systems, Jan.2017 - present Dimitris Tzionas , MPI for Intelligent Systems, Oct.2016- present Timo Bolkart , MPI for Intelligent Systems, Oct.2016- present Aamir Ahmad , MPI for Intelligent Systems, Sept.2016- present Sergi Pujades , MPI for Intelligent Systems, Jan.2016- present Former post doctoral Researchers: Alejandra Quiros-Ramirez , MPI for Intelligent Systems, May2015- Nov. 2017. Laura Sevilla , Lecturer Reader in Image and Vision Computing, University of Edinburgh. Ali Osman Ulusoy , (jointly with A. Geiger), Microsoft. Naejin Kong ,Samsung, Korea. Federica Bogo , Microsoft Research, Cambridge. Gerard Pons-Moll, Research Scientist,MPI for Informatik. Ijaz Akhter , postdoctoral researcher,Australia Nationa University, Canbera. Silvia Zuffi , R esearch Scientist, IMATI-CNR, Institute for Applied Mathematics(Milano) . Si Yong Yeo , Scientist, A*Star, Singapore. Cristina Garcia Cifuentes , Amazon. Chaohui Wang , A ssistant Professor, Laboratoire d'Informatique Gaspard Monge, Universit Paris-Est, Paris, France Sren Hauberg , Associate Professor, Technical University of Denmark(DTU), Copenhagen. Hueihan Jhuang , industry, Taiwan. Javier Romero , Amazon. Gregrory Shakhnarovich , Associate Professor, Toyota Technological Institute at Chicago. Sung-Phil Kim , Associate Professor, School of Design and Human Engineering, UNIST, Korea. Ronan Fablet , Professor, Telecom Bretange. Datasets and evalautions I belive that computer vision is advanced by careful evaluation and comparison. Consequently I have been involved in building several public datasets and evaluation websites. FAUST human scan dataset and registration benchmark 3D human scans of multiple people in multiple poses with accurate ground truth correspondences: FAUST site . MPI-Sintel optical flow dataset and evaluation Optical flow benchmark based on the animate film Sintel: MPI-Sintel site . JHMDB: Joint-annotated Human Motion Database Annotated videos for action recognition: JHMDB site . Middlebury Optical Flow Benchmark Image sequences, ground truth flow, and evaluation are all available on the Middlebury Flow site . HumanEva Multi-camera imagery with ground truth 3D human pose: HumanEvasite . Lee Walking Sequence Multi-camera imagery with ground truth 3D human pose. This predates HumanEva and the imagery is grayscale only. There is also software for partical filter tracking on the site. http://cs.brown.edu/~ls/Software/index.html Archival Image Sequences My old Brown site has several image sequences used in my older publications. These include some classic sequences such as Yosemite, the Pepsi can, the SRI tree sequence, and the Flower Garden sequence. Data Optical Flow Code (C and Matlab): 1. The most recent and most accurate optical flow code in Matlab Download This code is descrbed in A Quantitative Analysis of Current Practices in Optical Flow Estimation and the Principles behind Them Sun, D., Roth, S., and Black, M.J. International Journal of Computer Vision (IJCV) , 106(2):115-137, 2014. (pdf) Secrets of optical flow estimation and their principles Sun, D., Roth, S., and Black, M. J., IEEE Conf. on Computer Vision and Pattern Recog ., CVPR, June 2010. (pdf) This method implements many of the currently best known techniques for accurate optical flow and was once ranked #1 on the Middlebury evaluation (June 2010). The software is made available for research pupropses. Please read the copyright statement and contact me for commerical licensing. 2. Matlab implmentation of the Black and Anandan dense optical flow method The Matlab flow code is easier to use and more accurate than the original C code. The objective function being optimized is the same but the Matlab version uses more modern optimization methods: Matlab implementation of Black and Anandan robust dense optical flow algorithm The method in 1 above is more accurate and also implements Black and Anandan plus much more. 3. Original Black and Anandan method implemented in C The optical flow software here has been used by a number of graphics companies to make special effects for movies. This software is provided for research purposes only; any sale or use for commercial purposes is strictly prohibited. Contact me for the password to download the software, stating that it is for research purposes. Please contact me if you wish to use this code for commercial purpose. If you are a commercial enterprise and would like assistance in using optical flow in your application, please contact me at my consulting address black@opticalflow.com . This is EXPERIMENTAL software. It is provided to illustrate some ideas in the robust estimation of optical flow. Use at your own risk. No warranty is implied by this distribution. Copyright notice. There are two versions available. First, the original C code implementing the robust flow methods described in Black and Anandan '96: Area-based optical flow: robust affine regression. Dense optical flow: robust regularization. Reference: The robust estimation of multiple motions: Parametric and piecewise-smooth flow fields , Black, M. J. and Anandan, P., Computer Vision and Image Understanding, CVIU , 63(1), pp. 75-104, Jan. 1996. (pdf), (pdf from publisher) Robust Principal Component Analysis (PCA) Software is from the ICCV'2001 paper with Fernando De la Torre. De la Torre, F. and Black, M. J., Robust principal component analysis for computer vision, to appear: Int. Conf. on Computer Vision, ICCV-2001, Vancouver, BC. (postscript, 1.0MB)(pdf, 0.36MB), (abstract) Software, demos, and data. Human motion tracking The code below provides a simple Matlab implementation of the Bayesian 3D person tracking system described in ECCV'00 and ICCV'01. It is too slow to be used to track the entire body but can be used to track various limbs and provides a basis for people who want to understand the methods better and extend them. Learning image statistics for Bayesian tracking, Sidenbladh, H. and Black, M. J., Int. Conf. on Computer Vision, ICCV-2001, Vancouver, BC, Vol. II, pp. 709-716. (postscript, 2.8MB)(pdf, 0.38MB), (abstract) Stochastic tracking of 3D human figures using 2D image motion, Sidenbladh, H., Black, M. J., and Fleet, D.J., European Conference on Computer Vision , D. Vernon (Ed.), Springer Verlag, LNCS 1843, Dublin, Ireland, pp. 702-718 June 2000. (postscript)(pdf), (abstract) Software . (Note: if you uncompress and untar this on a PC using Winzip, the path names may be lost which will cause Matlab to fail when you load the .mat files. Instead uncompress/untar using gunzip and tar.) Werner Reichardt Center for Integrative Neuroscience, Eberhard Karls Universitt Tbingen, Member since 2011. Bernstein Center for Computational Neuroscience , Tbingen, since Jan. 2011. Brown Institute for Brain Science (BIBS), Member How to reach me: email: black@tue.mpg.de Skype: michael_j_black Phone:+49 7071 601-1801 FAX:+497071 601-1802 Mailing address Michael J. Black Max Planck Institute for Intelligent Systems Spemannstrasse 41 72076 Tbingen Germany For more information including our address and directions, see the department CONTACT page. I receive more email than I can read, let alone respond to. I apologize if you do not get a response. If you do not hear from me, consider the following: If you need something that is time sensitive (letter of reference, paper review, etc.), please contact or cc my assistant, Melanie Feldhofer (melanie.feldhofer@is.mpg.de) If you have asked me to do something (like review a paper or grant proposal), and I haven't responded saying that I can do it, then I have not agreed to do it. If you are seeking a job or want to be a PhD student,visit the CAREER page Applications for jobs or graduate school should be sent to ps-apply@tuebingen.mpg.de My assistant reads mail sent to me at black@is.mpg.de. If you have something particularly private, you can email me at black@cs.brown.edu and only I will read it. Overview talks Estimating Human Motion: Past, Present, and Future. (with full bibliography) 40 Years DAGM - Invited Talks, GCPR 2018 (pdf) What is optical flow for? On prediction, persistence and structure. Workshop on What is Optical Flow For? ECCV, Munich, Sept. 2018. ( ppt 76MB) The Future and Generative Models: A Case Study of Human Bodies in Motion. 2-hour course given at the Int. Computer Vision Summer School, July 2016. ( ppt 1.5GB) On building digital humans. An overview of our work on 3D body shape, based on a series of talks during 2015. ( ppt 1GB) Keynotes On building digital humans , Animation Studies Summer School , Tbiungen, 2015. How and why to learn a 3D model of the human body, 12th IEEE Int. Conf. on Advanced Video andSignal-based Surveillance, AVSS , Karlsruhe, Germany, Aug. 2015. 4D capture, modeling, and animation of human soft-tissue motion, Kinovis Inaugural Workshop , INRIA Rhone-Alps,Grenoble, 2015. Visions of motor control: From motion capture to thecortical control of movement , Int. Conf. on Robotics and Automation (ICRA) ,Karlsruhe, Germany, May 2013. Modernizing Muybridge: From 3D models of the body to decoding the brain , Keynote, Svenska Sllskapet fr Automatiserad Bildanalys (Swedish Society for Automated Image Analysis, SSBA) , KTH, Stockholm,March 2012. On modeling bodies and brains: From 3D models to decoding the brain , Keynote, Vision, Modeling and Visualization Workshop , October 4-6, 2011, Berlin. Human activity understanding: Observing the body and the brain Keynote, International Workshop on Human Activity Understanding from 3D Data, Colorado Spring, June 24, 2011. Invited Conference, Workshop, and Summer SchoolTalks Learning to be a Digital Human 9th Int. Workshop on Human Behavior Understanding . at ECCV, Sept. 2018. ( pptx ) On Building Digital Humans Shape Analysis and Learning by Geometry and Machine Inst. for Pure and Applied Mathematics (IPAM), UCLA, Feb. 2016. ( pptx ) Estimating 3D human pose and shape using differentiable rendering Inverse Rendering Workshop, ICCV, Santiago Chile, Dec. 2015. ( pptx ) On building digital humans , Computational Vision Summer School (CVSS), Black Forest, Germany, 2015, Machine Learning Summer School , Tbingen, July 2015. The Mathematics of Body Shape -- The Secret Lives ofTriangles in Hollywood , Science Notes, WAHRnehmung ,Tbingen,May 7, 2015. ( youtube ) How to build adigital human, FMX,Conference on Animation, Effects, Games and Transmedia ,Stuttgart, Germany, May 05-08, 2015. Video segmentation: What should the answer be?, First Int.Workshop on Video Segmentation, withECCV'14, Zrich, Sept.2014. Grassmann averages for scalable robust PCA 4th Int.Workshop on Computer Vision , Alghero, Italy, May 2014. Optical flow: The "good parts" version , ETH/MPI Research Network on Learning Systems, Summer School ,Zrich, June 2014,. Optical flow: The "good parts" version , Machine Learning Summer School (MLSS) , Tbiungen, 2013. ( youtube ) MPI-Sintel: From animation to evaluation of optical flow , ECCV 2012 Workshop onUnsolved Problems in Optical Flow and Stereo Estimation , Oct. 12,Florence Italy. [pdf] Modernizing Muybridge: From 3D models of the human body todecoding the brain, Sensory Coding & Natural Environment, IST Austrial, Sept. 2012. A naturalistic film for optical flow evaluation , At the intersection of Vision, Graphics, Learning and Sensing - Representations and Applications Workshop , Cambridge, May 2012. Thinking about movement: Decoding the brain to restore lost function , Inaugural Symposium: New Perspectives in Integrative Neuroscience , Hertie Institute, Tbingen, May 2012. On modeling and estimating human body shape , Rank Prize Symposium on Machine Learning and Computer Vision , Grasmere, UK, March 26-29, 2012. Modernizing Muybridge: From 3D models of the body to decoding the brain , Bernstein Cluster C Symposium,Bayesian Inference: From Spikes to Behaviour, Tbingen, December 9-10, 2011. From Muybridge to a brain-computer interface: A computational investigation of animal movement , Technion Computer Engineering (TCE) Inaugural Conference , Haifa, Israel, June 1-5, 2011. Invited Talks: Colloquia and Seminars The Mathematics of Body Shape, CIN-MPI Body Perception seminar, Tbingen, July 2012. Modernizing Muybridge: From 3D models of the body to decoding the brain, Gatsby Computational Neuroscience Unit, Univ. College, London, Jan. 2012. Modernizing Muybridge: From 3D models of the body to decoding the brain, Oxford University , Robotics Research Group Seminar, Jan. 2012. Modeling bodies and brains: From computer vision to neural prostheses, Wilhelm Schickhard Institute for Computer Sciences, Eberhard Karls Universit y, Tbingen, Germany, July 2011. Other Talks From Scans to Avatars. Using Multi-Viewpoint, High Precision 3D Surface Imaging to create Realistic Deformable Models of the Body, Jointly with Chris Lane, CEO 3dMD LLC. 3rd International Conference and Exhibition on3D Body Scanning Technologies, Lugano, Switzerland, 16-17 October 2012. Computing Optical Flow, Computational Vision Summer School 2012 , Freudenstadt-Lauterbad (Black Forest), June-July 2012 Seeing machines, Paul-Peter Ewald Kolloquium , MPI for Ingelligent Systems, Stuttgart, July 1, 2011. 300 results ( View BibTeX file of all listed publications ) 2019 The Virtual Caliper: Rapid Creation of Metrically Accurate Avatars from 3D Measurements Pujades, S. , Mohler, B. , Thaler, A. , Tesch, J. , Mahmood, N. , Hesse, N., Blthoff, H. H., Black, M. J. IEEE Transactions on Visualization and Computer Graphics , 2019 (article) Abstract Creating metrically accurate avatars is important for many applications such as virtual clothing try-on, ergonomics, medicine, immersive social media, telepresence, and gaming. Creating avatars that precisely represent a particular individual is challenging however, due to the need for expensive 3D scanners, privacy issues with photographs or videos, and difficulty in making accurate tailoring measurements. We overcome these challenges by creating The Virtual Caliper, which uses VR game controllers to make simple measurements. First, we establish what body measurements users can reliably make on their own body. We find several distance measurements to be good candidates and then verify that these are linearly related to 3D body shape as represented by the SMPL body model. The Virtual Caliper enables novice users to accurately measure themselves and create an avatar with their own body shape. We evaluate the metric accuracy relative to ground truth 3D body scan data, compare the method quantitatively to other avatar creation tools, and perform extensive perceptual studies. We also provide a software application to the community that enables novices to rapidly create avatars in fewer than five minutes. Not only is our approach more rapid than existing methods, it exports a metrically accurate 3D avatar model that is rigged and skinned. [BibTex] Share 2019 Pujades, S. , Mohler, B. , Thaler, A. , Tesch, J. , Mahmood, N. , Hesse, N., Blthoff, H. H., Black, M. J. The Virtual Caliper: Rapid Creation of Metrically Accurate Avatars from 3D Measurements IEEE Transactions on Visualization and Computer Graphics , 2019 (article) [BibTex] Resisting Adversarial Attacks using Gaussian Mixture Variational Autoencoders Ghosh, P. , Losalka, A., Black, M. J. In Proc. AAAI , 2019 (inproceedings) Abstract Susceptibility of deep neural networks to adversarial attacks poses a major theoretical and practical challenge. All efforts to harden classifiers against such attacks have seen limited success till now. Two distinct categories of samples against which deep neural networks are vulnerable, ``adversarial samples" and ``fooling samples", have been tackled separately so far due to the difficulty posed when considered together. In this work, we show how one can defend against them both under a unified framework. Our model has the form of a variational autoencoder with a Gaussian mixture prior on the latent variable, such that each mixture component corresponds to a single class. We show how selective classification can be performed using this model, thereby causing the adversarial objective to entail a conflict. The proposed method leads to the rejection of adversarial samples instead of misclassification, while maintaining high precision and recall on test data. It also inherently provides a way of learning a selective classifier in a semi-supervised scenario, which can similarly resist adversarial attacks. We further show how one can reclassify the detected adversarial samples by iterative optimization. link (url) Project Page [BibTex] Share Ghosh, P. , Losalka, A., Black, M. J. Resisting Adversarial Attacks using Gaussian Mixture Variational Autoencoders In Proc. AAAI , 2019 (inproceedings) link (url) Project Page [BibTex] 2018 Customized Multi-Person Tracker Ma, L., Tang, S. , Black, M. J. , Gool, L. V. In Computer Vision ACCV 2018 , Springer International Publishing, December 2018 (inproceedings) PDF Project Page [BibTex] Share 2018 Ma, L., Tang, S. , Black, M. J. , Gool, L. V. Customized Multi-Person Tracker In Computer Vision ACCV 2018 , Springer International Publishing, December 2018 (inproceedings) PDF Project Page [BibTex] Deep Inertial Poser: Learning to Reconstruct Human Pose from Sparse Inertial Measurements in Real Time Huang, Y. , Kaufmann, M., Aksan, E., Black, M. J. , Hilliges, O., Pons-Moll, G. ACM Transactions on Graphics, (Proc. SIGGRAPH Asia) , 37, pages: 185:1-185:15, ACM, November 2018, Two first authors contributed equally (article) Abstract We demonstrate a novel deep neural network capable of reconstructing human full body pose in real-time from 6 Inertial Measurement Units (IMUs) worn on the user's body. In doing so, we address several difficult challenges. First, the problem is severely under-constrained as multiple pose parameters produce the same IMU orientations. Second, capturing IMU data in conjunction with ground-truth poses is expensive and difficult to do in many target application scenarios (e.g., outdoors). Third, modeling temporal dependencies through non-linear optimization has proven effective in prior work but makes real-time prediction infeasible. To address this important limitation, we learn the temporal pose priors using deep learning. To learn from sufficient data, we synthesize IMU data from motion capture datasets. A bi-directional RNN architecture leverages past and future information that is available at training time. At test time, we deploy the network in a sliding window fashion, retaining real time capabilities. To evaluate our method, we recorded DIP-IMU, a dataset consisting of 10 subjects wearing 17 IMUs for validation in 64 sequences with 330,000 time instants; this constitutes the largest IMU dataset publicly available. We quantitatively evaluate our approach on multiple datasets and show results from a real-time implementation. DIP-IMU and the code are available for research purposes. data code pdf preprint video DOI Project Page [BibTex] Share Huang, Y. , Kaufmann, M., Aksan, E., Black, M. J. , Hilliges, O., Pons-Moll, G. Deep Inertial Poser: Learning to Reconstruct Human Pose from Sparse Inertial Measurements in Real Time ACM Transactions on Graphics, (Proc. SIGGRAPH Asia) , 37, pages: 185:1-185:15, ACM, November 2018, Two first authors contributed equally (article) data code pdf preprint video DOI Project Page [BibTex] On the Integration of Optical Flow and Action Recognition Sevilla-Lara, L. , Liao, Y. , Guney, F., Jampani, V. , Geiger, A. , Black, M. J. In German Conference on Pattern Recognition (GCPR) , October 2018 (inproceedings) Abstract Most of the top performing action recognition methods use optical flow as a "black box" input. Here we take a deeper look at the combination of flow and action recognition, and investigate why optical flow is helpful, what makes a flow method good for action recognition, and how we can make it better. In particular, we investigate the impact of different flow algorithms and input transformations to better understand how these affect a state-of-the-art action recognition method. Furthermore, we fine tune two neural-network flow methods end-to-end on the most widely used action recognition dataset (UCF101). Based on these experiments, we make the following five observations: 1) optical flow is useful for action recognition because it is invariant to appearance, 2) optical flow methods are optimized to minimize end-point-error (EPE), but the EPE of current methods is not well correlated with action recognition performance, 3) for the flow methods tested, accuracy at boundaries and at small displacements is most correlated with action recognition performance, 4) training optical flow to minimize classification error instead of minimizing EPE improves recognition performance, and 5) optical flow learned for the task of action recognition differs from traditional optical flow especially inside the human body and at the boundary of the body. These observations may encourage optical flow researchers to look beyond EPE as a goal and guide action recognition researchers to seek better motion cues, leading to a tighter integration of the optical flow and action recognition communities. arXiv [BibTex] Share Sevilla-Lara, L. , Liao, Y. , Guney, F., Jampani, V. , Geiger, A. , Black, M. J. On the Integration of Optical Flow and Action Recognition In German Conference on Pattern Recognition (GCPR) , October 2018 (inproceedings) arXiv [BibTex] Deep Neural Network-based Cooperative Visual Tracking through Multiple Micro Aerial Vehicles Price, E. , Lawless, G. , Ludwig, R. , Martinovic, I. , Buelthoff, H. H., Black, M. J. , Ahmad, A. IEEE Robotics and Automation Letters , Robotics and Automation Letters , 3(4):3193-3200, IEEE, October 2018, Also accepted and presented in the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). (article) Abstract Multi-camera tracking of humans and animals in outdoor environments is a relevant and challenging problem. Our approach to it involves a team of cooperating micro aerial vehicles (MAVs) with on-board cameras only. DNNs often fail at objects with small scale or far away from the camera, which are typical characteristics of a scenario with aerial robots. Thus, the core problem addressed in this paper is how to achieve on-board, online, continuous and accurate vision-based detections using DNNs for visual person tracking through MAVs. Our solution leverages cooperation among multiple MAVs and active selection of most informative regions of image. We demonstrate the efficiency of our approach through simulations with up to 16 robots and real robot experiments involving two aerial robots tracking a person, while maintaining an active perception-driven formation. ROS-based source code is provided for the benefit of the community. Published Version link (url) DOI [BibTex] Share Price, E. , Lawless, G. , Ludwig, R. , Martinovic, I. , Buelthoff, H. H., Black, M. J. , Ahmad, A. Deep Neural Network-based Cooperative Visual Tracking through Multiple Micro Aerial Vehicles IEEE Robotics and Automation Letters , Robotics and Automation Letters , 3(4):3193-3200, IEEE, October 2018, Also accepted and presented in the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). (article) Published Version link (url) DOI [BibTex] Temporal Interpolation as an Unsupervised Pretraining Task for Optical Flow Estimation Wulff, J. , Black, M. J. In German Conference on Pattern Recognition (GCPR) , October 2018 (inproceedings) Abstract The difficulty of annotating training data is a major obstacle to using CNNs for low-level tasks in video. Synthetic data often does not generalize to real videos, while unsupervised methods require heuristic n losses. Proxy tasks can overcome these issues, and start by training a network for a task for which annotation is easier or which can be trained unsupervised. The trained network is then fine-tuned for the original task using small amounts of ground truth data. Here, we investigate frame interpolation as a proxy task for optical flow. Using real movies, we train a CNN unsupervised for temporal interpolation. Such a network implicitly estimates motion, but cannot handle untextured regions. By fi ne-tuning on small amounts of ground truth flow, the network can learn to fill in homogeneous regions and compute full optical flow fi elds. Using this unsupervised pre-training, our network outperforms similar architectures that were trained supervised using synthetic optical flow. pdf arXiv Project Page [BibTex] Share Wulff, J. , Black, M. J. Temporal Interpolation as an Unsupervised Pretraining Task for Optical Flow Estimation In German Conference on Pattern Recognition (GCPR) , October 2018 (inproceedings) pdf arXiv Project Page [BibTex] Generating 3D Faces using Convolutional Mesh Autoencoders Ranjan, A. , Bolkart, T. , Sanyal, S. , Black, M. J. In European Conference on Computer Vision (ECCV) , Lecture Notes in Computer Science, vol 11207, pages: 725-741, Springer, Cham, September 2018 (inproceedings) Abstract Learned 3D representations of human faces are useful for computer vision problems such as 3D face tracking and reconstruction from images, as well as graphics applications such as character generation and animation. Traditional models learn a latent representation of a face using linear subspaces or higher-order tensor generalizations. Due to this linearity, they can not capture extreme deformations and non-linear expressions. To address this, we introduce a versatile model that learns a non-linear representation of a face using spectral convolutions on a mesh surface. We introduce mesh sampling operations that enable a hierarchical mesh representation that captures non-linear variations in shape and expression at multiple scales within the model. In a variational setting, our model samples diverse realistic 3D faces from a multivariate Gaussian distribution. Our training data consists of 20,466 meshes of extreme expressions captured over 12 different subjects. Despite limited training data, our trained model outperforms state-of-the-art face models with 50% lower reconstruction error, while using 75% fewer parameters. We also show that, replacing the expression space of an existing state-of-the-art face model with our autoencoder, achieves a lower reconstruction error. Our data, model and code are available at http://coma.is.tue.mpg.de/. code paper supplementary link (url) DOI Project Page Project Page [BibTex] Share Ranjan, A. , Bolkart, T. , Sanyal, S. , Black, M. J. Generating 3D Faces using Convolutional Mesh Autoencoders In European Conference on Computer Vision (ECCV) , Lecture Notes in Computer Science, vol 11207, pages: 725-741, Springer, Cham, September 2018 (inproceedings) code paper supplementary link (url) DOI Project Page Project Page [BibTex] Learning Human Optical Flow Ranjan, A. , Romero, J. , Black, M. J. In 29th British Machine Vision Conference , September 2018 (inproceedings) Abstract The optical flow of humans is well known to be useful for the analysis of human action. Given this, we devise an optical flow algorithm specifically for human motion and show that it is superior to generic flow methods. Designing a method by hand is impractical, so we develop a new training database of image sequences with ground truth optical flow. For this we use a 3D model of the human body and motion capture data to synthesize realistic flow fields. We then train a convolutional neural network to estimate human flow fields from pairs of images. Since many applications in human motion analysis depend on speed, and we anticipate mobile applications, we base our method on SpyNet with several modifications. We demonstrate that our trained network is more accurate than a wide range of top methods on held-out test data and that it generalizes well to real image sequences. When combined with a person detector/tracker, the approach provides a full solution to the problem of 2D human flow estimation. Both the code and the dataset are available for research. video code pdf link (url) Project Page Project Page [BibTex] Share Ranjan, A. , Romero, J. , Black, M. J. Learning Human Optical Flow In 29th British Machine Vision Conference , September 2018 (inproceedings) video code pdf link (url) Project Page Project Page [BibTex] Unsupervised Learning of Multi-Frame Optical Flow with Occlusions Janai, J. , Gney, F. , Ranjan, A. , Black, M. J. , Geiger, A. In European Conference on Computer Vision (ECCV) , Lecture Notes in Computer Science, vol 11220, pages: 713-731, Springer, Cham, September 2018 (inproceedings) pdf suppmat DOI Project Page [BibTex] Share Janai, J. , Gney, F. , Ranjan, A. , Black, M. J. , Geiger, A. Unsupervised Learning of Multi-Frame Optical Flow with Occlusions In European Conference on Computer Vision (ECCV) , Lecture Notes in Computer Science, vol 11220, pages: 713-731, Springer, Cham, September 2018 (inproceedings) pdf suppmat DOI Project Page [BibTex] Learning an Infant Body Model from RGB-D Data for Accurate Full Body Motion Analysis Hesse, N., Pujades, S. , Romero, J. , Black, M. J. , Bodensteiner, C., Arens, M., Hofmann, U. G., Tacke, U., Hadders-Algra, M., Weinberger, R., Muller-Felber, W., Schroeder, A. S. In Int. Conf. on Medical Image Computing and Computer Assisted Intervention (MICCAI) , September 2018 (inproceedings) Abstract Infant motion analysis enables early detection of neurodevelopmental disorders like cerebral palsy (CP). Diagnosis, however, is challenging, requiring expert human judgement. An automated solution would be beneficial but requires the accurate capture of 3D full-body movements. To that end, we develop a non-intrusive, low-cost, lightweight acquisition system that captures the shape and motion of infants. Going beyond work on modeling adult body shape, we learn a 3D Skinned Multi-Infant Linear body model (SMIL) from noisy, low-quality, and incomplete RGB-D data. We demonstrate the capture of shape and motion with 37 infants in a clinical environment. Quantitative experiments show that SMIL faithfully represents the data and properly factorizes the shape and pose of the infants. With a case study based on general movement assessment (GMA), we demonstrate that SMIL captures enough information to allow medical assessment. SMIL provides a new tool and a step towards a fully automatic system for GMA. pdf Project page video extended arXiv version Project Page [BibTex] Share Hesse, N., Pujades, S. , Romero, J. , Black, M. J. , Bodensteiner, C., Arens, M., Hofmann, U. G., Tacke, U., Hadders-Algra, M., Weinberger, R., Muller-Felber, W., Schroeder, A. S. Learning an Infant Body Model from RGB-D Data for Accurate Full Body Motion Analysis In Int. Conf. on Medical Image Computing and Computer Assisted Intervention (MICCAI) , September 2018 (inproceedings) pdf Project page video extended arXiv version Project Page [BibTex] Recovering Accurate 3D Human Pose in The Wild Using IMUs and a Moving Camera Marcard, T. V., Henschel, R., Black, M. J. , Rosenhahn, B., Pons-Moll, G. In European Conference on Computer Vision (ECCV) , Lecture Notes in Computer Science, vol 11214, pages: 614-631, Springer, Cham, September 2018 (inproceedings) Abstract In this work, we propose a method that combines a single hand-held camera and a set of Inertial Measurement Units (IMUs) attached at the body limbs to estimate accurate 3D poses in the wild. This poses many new challenges: the moving camera, heading drift, cluttered background, occlusions and many people visible in the video. We associate 2D pose detections in each image to the corresponding IMU-equipped persons by solving a novel graph based optimization problem that forces 3D to 2D coherency within a frame and across long range frames. Given associations, we jointly optimize the pose of a statistical body model, the camera pose and heading drift using a continuous optimization framework. We validated our method on the TotalCapture dataset, which provides video and IMU synchronized with ground truth. We obtain an accuracy of 26mm, which makes it accurate enough to serve as a benchmark for image-based 3D pose estimation in the wild. Using our method, we recorded 3D Poses in the Wild (3DPW ), a new dataset consisting of more than 51; 000 frames with accurate 3D pose in challenging sequences, including walking in the city, going up-stairs, having co ffee or taking the bus. We make the reconstructed 3D poses, video, IMU and 3D models available for research purposes at http://virtualhumans.mpi-inf.mpg.de/3DPW. pdf SupMat data project DOI Project Page [BibTex] Share Marcard, T. V., Henschel, R., Black, M. J. , Rosenhahn, B., Pons-Moll, G. Recovering Accurate 3D Human Pose in The Wild Using IMUs and a Moving Camera In European Conference on Computer Vision (ECCV) , Lecture Notes in Computer Science, vol 11214, pages: 614-631, Springer, Cham, September 2018 (inproceedings) pdf SupMat data project DOI Project Page [BibTex] Visual Perception and Evaluation of Photo-Realistic Self-Avatars From 3D Body Scans in Males and Females Thaler, A. , Piryankova, I., Stefanucci, J. K., Pujades, S. , de la Rosa, S., Streuber, S. , Romero, J. , Black, M. J. , Mohler, B. J. Frontiers in ICT , 5, pages: 1-14, September 2018 (article) Abstract The creation or streaming of photo-realistic self-avatars is important for virtual reality applications that aim for perception and action to replicate real world experience. The appearance and recognition of a digital self-avatar may be especially important for applications related to telepresence, embodied virtual reality, or immersive games. We investigated gender differences in the use of visual cues (shape, texture) of a self-avatar for estimating body weight and evaluating avatar appearance. A full-body scanner was used to capture each participant's body geometry and color information and a set of 3D virtual avatars with realistic weight variations was created based on a statistical body model. Additionally, a second set of avatars was created with an average underlying body shape matched to each participants height and weight. In four sets of psychophysical experiments, the influence of visual cues on the accuracy of body weight estimation and the sensitivity to weight changes was assessed by manipulating body shape (own, average) and texture (own photo-realistic, checkerboard). The avatars were presented on a large-screen display, and participants responded to whether the avatar's weight corresponded to their own weight. Participants also adjusted the avatar's weight to their desired weight and evaluated the avatar's appearance with regard to similarity to their own body, uncanniness, and their willingness to accept it as a digital representation of the self. The results of the psychophysical experiments revealed no gender difference in the accuracy of estimating body weight in avatars. However, males accepted a larger weight range of the avatars as corresponding to their own. In terms of the ideal body weight, females but not males desired a thinner body. With regard to the evaluation of avatar appearance, the questionnaire responses suggest that own photo-realistic texture was more important to males for higher similarity ratings, while own body shape seemed to be more important to females. These results argue for gender-specific considerations when creating self-avatars. pdf DOI [BibTex] Share Thaler, A. , Piryankova, I., Stefanucci, J. K., Pujades, S. , de la Rosa, S., Streuber, S. , Romero, J. , Black, M. J. , Mohler, B. J. Visual Perception and Evaluation of Photo-Realistic Self-Avatars From 3D Body Scans in Males and Females Frontiers in ICT , 5, pages: 1-14, September 2018 (article) pdf DOI [BibTex] Statistical Modelling of Fingertip Deformations and Contact Forces during Tactile Interaction Gueorguiev, D. , Tzionas, D. , Pacchierotti, C., Black, M. J. , Kuchenbecker, K. J. Extended abstract presented at the Hand, Brain and Technology conference (HBT), Ascona, Switzerland, August 2018 (misc) Abstract Little is known about the shape and properties of the human finger during haptic interaction, even though these are essential parameters for controlling wearable finger devices and deliver realistic tactile feedback. This study explores a framework for four-dimensional scanning (3D over time) and modelling of finger-surface interactions, aiming to capture the motion and deformations of the entire finger with high resolution while simultaneously recording the interfacial forces at the contact. Preliminary results show that when the fingertip is actively pressing a rigid surface, it undergoes lateral expansion and proximal/distal bending, deformations that cannot be captured by imaging of the contact area alone. Therefore, we are currently capturing a dataset that will enable us to create a statistical model of the fingers deformations and predict the contact forces induced by tactile interaction with objects. This technique could improve current methods for tactile rendering in wearable haptic devices, which rely on general physical modelling of the skins compliance, by developing an accurate model of the variations in finger properties across the human population. The availability of such a model will also enable a more realistic simulation of virtual finger behaviour in virtual reality (VR) environments, as well as the ability to accurately model a specific users finger from lower resolution data. It may also be relevant for inferring the physical properties of the underlying tissue from observing the surface mesh deformations, as previously shown for body tissues. Project Page [BibTex] Share Gueorguiev, D. , Tzionas, D. , Pacchierotti, C., Black, M. J. , Kuchenbecker, K. J. Statistical Modelling of Fingertip Deformations and Contact Forces during Tactile Interaction Extended abstract presented at the Hand, Brain and Technology conference (HBT), Ascona, Switzerland, August 2018 (misc) Project Page [BibTex] Decentralized MPC based Obstacle Avoidance for Multi-Robot Target Tracking Scenarios Tallamraju, R. , Rajappa, S., Black, M. J. , Karlapalem, K., Ahmad, A. 2018 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR) , pages: 1-8, IEEE, August 2018 (conference) Abstract In this work, we consider the problem of decentralized multi-robot target tracking and obstacle avoidance in dynamic environments. Each robot executes a local motion planning algorithm which is based on model predictive control (MPC). The planner is designed as a quadratic program, subject to constraints on robot dynamics and obstacle avoidance. Repulsive potential field functions are employed to avoid obstacles. The novelty of our approach lies in embedding these non-linear potential field functions as constraints within a convex optimization framework. Our method convexifies nonconvex constraints and dependencies, by replacing them as pre-computed external input forces in robot dynamics. The proposed algorithm additionally incorporates different methods to avoid field local minima problems associated with using potential field functions in planning. The motion planner does not enforce predefined trajectories or any formation geometry on the robots and is a comprehensive solution for cooperative obstacle avoidance in the context of multi-robot target tracking. We perform simulation studies for different scenarios to showcase the convergence and efficacy of the proposed algorithm. Published Version link (url) DOI [BibTex] Share Tallamraju, R. , Rajappa, S., Black, M. J. , Karlapalem, K., Ahmad, A. Decentralized MPC based Obstacle Avoidance for Multi-Robot Target Tracking Scenarios 2018 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR) , pages: 1-8, IEEE, August 2018 (conference) Published Version link (url) DOI [BibTex] Robust Physics-based Motion Retargeting with Realistic Body Shapes Borno, M. A., Righetti, L. , Black, M. J. , Delp, S. L., Fiume, E., Romero, J. Computer Graphics Forum , 37, pages: 6:1-12, July 2018 (article) Abstract Motion capture is often retargeted to new, and sometimes drastically different, characters. When the characters take on realistic human shapes, however, we become more sensitive to the motion looking right. This means adapting it to be consistent with the physical constraints imposed by different body shapes. We show how to take realistic 3D human shapes, approximate them using a simplified representation, and animate them so that they move realistically using physically-based retargeting. We develop a novel spacetime optimization approach that learns and robustly adapts physical controllers to new bodies and constraints. The approach automatically adapts the motion of the mocap subject to the body shape of a target subject. This motion respects the physical properties of the new body and every body shape results in a different and appropriate movement. This makes it easy to create a varied set of motions from a single mocap sequence by simply varying the characters. In an interactive environment, successful retargeting requires adapting the motion to unexpected external forces. We achieve robustness to such forces using a novel LQR-tree formulation. We show that the simulated motions look appropriate to each characters anatomy and their actions are robust to perturbations. pdf video Project Page Project Page [BibTex] Share Borno, M. A., Righetti, L. , Black, M. J. , Delp, S. L., Fiume, E., Romero, J. Robust Physics-based Motion Retargeting with Realistic Body Shapes Computer Graphics Forum , 37, pages: 6:1-12, July 2018 (article) pdf video Project Page Project Page [BibTex] Method and Apparatus for Estimating Body Shape Black, M. J. , Balan, A., Weiss, A. , Sigal, L., Loper, M. , St Clair, T. June 2018, U.S.~Patent 10,002,460 (misc) Abstract A system and method of estimating the body shape of an individual from input data such as images or range maps. The body may appear in one or more poses captured at different times and a consistent body shape is computed for all poses. The body may appear in minimal tight-fitting clothing or in normal clothing wherein the described method produces an estimate of the body shape under the clothing. Clothed or bare regions of the body are detected via image classification and the fitting method is adapted to treat each region differently. Body shapes are represented parametrically and are matched to other bodies based on shape similarity and other features. Standard measurements are extracted using parametric or non-parametric functions of body shape. The system components support many applications in body scanning, advertising, social networking, collaborative filtering and Internet clothing shopping. Google Patents Project Page [BibTex] Share Black, M. J. , Balan, A., Weiss, A. , Sigal, L., Loper, M. , St Clair, T. Method and Apparatus for Estimating Body Shape June 2018, U.S.~Patent 10,002,460 (misc) Google Patents Project Page [BibTex] Adversarial Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation Ranjan, A. , Jampani, V. , Kim, K., Sun, D. , Wulff, J. , Black, M. J. May 2018 (article) Abstract We address the unsupervised learning of several interconnected problems in low-level vision: single view depth prediction, camera motion estimation, optical flow and segmentation of a video into the static scene and moving regions. Our key insight is that these four fundamental vision problems are coupled and, consequently, learning to solve them together simplifies the problem because the solutions can reinforce each other by exploiting known geometric constraints. In order to model geometric constraints, we introduce Adversarial Collaboration, a framework that facilitates competition and collaboration between neural networks. We go beyond previous work by exploiting geometry more explicitly and segmenting the scene into static and moving regions. Adversarial Collaboration works much like expectation-maximization but with neural networks that act as adversaries, competing to explain pixels that correspond to static or moving regions, and as collaborators through a moderator that assigns pixels to be either static or independently moving. Our novel method integrates all these problems in a common framework and simultaneously reasons about the segmentation of the scene into moving objects and the static background, the camera motion, depth of the static scene structure, and the optical flow of moving objects. Our model is trained without any supervision and achieves state of the art results amongst unsupervised methods. pdf link (url) Project Page Project Page [BibTex] Share Ranjan, A. , Jampani, V. , Kim, K., Sun, D. , Wulff, J. , Black, M. J. Adversarial Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation May 2018 (article) pdf link (url) Project Page Project Page [BibTex] Assessing body image in anorexia nervosa using biometric self-avatars in virtual reality: Attitudinal components rather than visual body size estimation are distorted Mlbert, S. C. , Thaler, A. , Mohler, B. J. , Streuber, S. , Romero, J. , Black, M. J. , Zipfel, S., Karnath, H., Giel, K. E. Psychological Medicine , 48(4):642-653, March 2018 (article) Abstract Background: Body image disturbance (BID) is a core symptom of anorexia nervosa (AN), but as yet distinctive features of BID are unknown. The present study aimed at disentangling perceptual and attitudinal components of BID in AN. Methods: We investigated n=24 women with AN and n=24 controls. Based on a 3D body scan, we created realistic virtual 3D bodies (avatars) for each participant that were varied through a range of 20% of the participants' weights. Avatars were presented in a virtual reality mirror scenario. Using different psychophysical tasks, participants identified and adjusted their actual and their desired body weight. To test for general perceptual biases in estimating body weight, a second experiment investigated perception of weight and shape matched avatars with another identity. Results: Women with AN and controls underestimated their weight, with a trend that women with AN underestimated more. The average desired body of controls had normal weight while the average desired weight of women with AN corresponded to extreme AN (DSM-5). Correlation analyses revealed that desired body weight, but not accuracy of weight estimation, was associated with eating disorder symptoms. In the second experiment, both groups estimated accurately while the most attractive body was similar to Experiment 1. Conclusions: Our results contradict the widespread assumption that patients with AN overestimate their body weight due to visual distortions. Rather, they illustrate that BID might be driven by distorted attitudes with regard to the desired body. Clinical interventions should aim at helping patients with AN to change their desired weight. doi pdf DOI Project Page [BibTex] Share Mlbert, S. C. , Thaler, A. , Mohler, B. J. , Streuber, S. , Romero, J. , Black, M. J. , Zipfel, S., Karnath, H., Giel, K. E. Assessing body image in anorexia nervosa using biometric self-avatars in virtual reality: Attitudinal components rather than visual body size estimation are distorted Psychological Medicine , 48(4):642-653, March 2018 (article) doi pdf DOI Project Page [BibTex] Towards a Statistical Model of Fingertip Contact Deformations from 4D Data Gueorguiev, D. , Tzionas, D. , Pacchierotti, C., Black, M. J. , Kuchenbecker, K. J. Work-in-progress paper (3 pages) presented at the IEEE Haptics Symposium, San Francisco, USA, March 2018 (misc) Abstract Little is known about the shape and properties of the human finger during haptic interaction even though this knowledge is essential to control wearable finger devices and deliver realistic tactile feedback. This study explores a framework for four-dimensional scanning and modeling of finger-surface interactions, aiming to capture the motion and deformations of the entire finger with high resolution. The results show that when the fingertip is actively pressing a rigid surface, it undergoes lateral expansion of about 0.2 cm and proximal/distal bending of about 30, deformations that cannot be captured by imaging of the contact area alone. This project constitutes a first step towards an accurate statistical model of the fingers behavior during haptic interaction. link (url) Project Page [BibTex] Share Gueorguiev, D. , Tzionas, D. , Pacchierotti, C., Black, M. J. , Kuchenbecker, K. J. Towards a Statistical Model of Fingertip Contact Deformations from 4D Data Work-in-progress paper (3 pages) presented at the IEEE Haptics Symposium, San Francisco, USA, March 2018 (misc) link (url) Project Page [BibTex] Body size estimation of self and others in females varying in BMI Thaler, A. , Geuss, M. N., Mlbert, S. C. , Giel, K. E., Streuber, S. , Romero, J. , Black, M. J. , Mohler, B. J. PLoS ONE , 13(2), Febuary 2018 (article) Abstract Previous literature suggests that a disturbed ability to accurately identify own body size may contribute to overweight. Here, we investigated the influence of personal body size, indexed by body mass index (BMI), on body size estimation in a non-clinical population of females varying in BMI. We attempted to disentangle general biases in body size estimates and attitudinal influences by manipulating whether participants believed the body stimuli (personalized avatars with realistic weight variations) represented their own body or that of another person. Our results show that the accuracy of own body size estimation is predicted by personal BMI, such that participants with lower BMI underestimated their body size and participants with higher BMI overestimated their body size. Further, participants with higher BMI were less likely to notice the same percentage of weight gain than participants with lower BMI. Importantly, these results were only apparent when participants were judging a virtual body that was their own identity (Experiment 1), but not when they estimated the size of a body with another identity and the same underlying body shape (Experiment 2a). The different influences of BMI on accuracy of body size estimation and sensitivity to weight change for self and other identity suggests that effects of BMI on visual body size estimation are self-specific and not generalizable to other bodies. pdf DOI Project Page [BibTex] Share Thaler, A. , Geuss, M. N., Mlbert, S. C. , Giel, K. E., Streuber, S. , Romero, J. , Black, M. J. , Mohler, B. J. Body size estimation of self and others in females varying in BMI PLoS ONE , 13(2), Febuary 2018 (article) pdf DOI Project Page [BibTex] Co-Registration Simultaneous Alignment and Modeling of Articulated 3D Shapes Black, M. , Hirshberg, D. , Loper, M. , Rachlin, E. , Weiss, A. Febuary 2018, U.S.~Patent 9,898,848 (misc) Abstract Present application refers to a method, a model generation unit and a computer program (product) for generating trained models (M) of moving persons, based on physically measured person scan data (S). The approach is based on a common template (T) for the respective person and on the measured person scan data (S) in different shapes and different poses. Scan data are measured with a 3D laser scanner. A generic personal model is used for co-registering a set of person scan data (S) aligning the template (T) to the set of person scans (S) while simultaneously training the generic personal model to become a trained person model (M) by constraining the generic person model to be scan-specific, person-specific and pose-specific and providing the trained model (M), based on the co registering of the measured object scan data (S). text [BibTex] Share Black, M. , Hirshberg, D. , Loper, M. , Rachlin, E. , Weiss, A. Co-Registration Simultaneous Alignment and Modeling of Articulated 3D Shapes Febuary 2018, U.S.~Patent 9,898,848 (misc) text [BibTex] End-to-end Recovery of Human Shape and Pose Kanazawa, A. , Black, M. J. , Jacobs, D. W., Malik, J. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , IEEE Computer Society, 2018 (inproceedings) Abstract We describe Human Mesh Recovery (HMR), an end-to-end framework for reconstructing a full 3D mesh of a human body from a single RGB image. In contrast to most current methods that compute 2D or 3D joint locations, we produce a richer and more useful mesh representation that is parameterized by shape and 3D joint angles. The main objective is to minimize the reprojection loss of keypoints, which allows our model to be trained using in-the-wild images that only have ground truth 2D annotations. However, the reprojection loss alone is highly underconstrained. In this work we address this problem by introducing an adversary trained to tell whether human body shape and pose parameters are real or not using a large database of 3D human meshes. We show that HMR can be trained with and without using any paired 2D-to-3D supervision. We do not rely on intermediate 2D keypoint detections and infer 3D pose and shape parameters directly from image pixels. Our model runs in real-time given a bounding box containing the person. We demonstrate our approach on various images in-the-wild and out-perform previous optimization-based methods that output 3D meshes and show competitive results on tasks such as 3D joint location estimation and part segmentation. pdf code project video Project Page [BibTex] Share Kanazawa, A. , Black, M. J. , Jacobs, D. W., Malik, J. End-to-end Recovery of Human Shape and Pose In IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , IEEE Computer Society, 2018 (inproceedings) pdf code project video Project Page [BibTex] End-to-end Learning for Graph Decomposition Song, J., Andres, B., Black, M. , Hilliges, O., Tang, S. arXiv:1812.09737 , 2018 (article) Abstract We propose a novel end-to-end trainable framework for the graph decomposition problem. The minimum cost mul- ticut problem is first converted to an unconstrained binary cubic formulation where cycle consistency constraints are incorporated into the objective function. The new optimiza- tion problem can be viewed as a Conditional Random Field (CRF) in which the random variables are associated with the binary edge labels of the initial graph and the hard con- straints are introduced in the CRF as high-order potentials. The parameters of a standard Neural Network and the fully differentiable CRF are optimized in an end-to-end manner. Furthermore, our method utilizes the cycle constraints as meta-supervisory signals during the learning of the deep feature representations by taking the dependencies between the output random variables into account. We present analy- ses of the end-to-end learned representations, showing the impact of the joint training, on the task of clustering images of MNIST. We also validate the effectiveness of our approach both for the feature learning and the final clustering on the challenging task of real-world multi-person pose estimation paper.pdf Video link (url) [BibTex] Share Song, J., Andres, B., Black, M. , Hilliges, O., Tang, S. End-to-end Learning for Graph Decomposition arXiv:1812.09737 , 2018 (article) paper.pdf Video link (url) [BibTex] Lions and Tigers and Bears: Capturing Non-Rigid, 3D, Articulated Shape from Images Zuffi, S. , Kanazawa, A. , Black, M. J. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , IEEE Computer Society, 2018 (inproceedings) Abstract Animals are widespread in nature and the analysis of their shape and motion is important in many fields and industries. Modeling 3D animal shape, however, is difficult because the 3D scanning methods used to capture human shape are not applicable to wild animals or natural settings. Consequently, we propose a method to capture the detailed 3D shape of animals from images alone. The articulated and deformable nature of animals makes this problem extremely challenging, particularly in unconstrained environments with moving and uncalibrated cameras. To make this possible, we use a strong prior model of articulated animal shape that we fit to the image data. We then deform the animal shape in a canonical reference pose such that it matches image evidence when articulated and projected into multiple images. Our method extracts significantly more 3D shape detail than previous methods and is able to model new species, including the shape of an extinct animal, using only a few video frames. Additionally, the projected 3D shapes are accurate enough to facilitate the extraction of a realistic texture map from multiple frames. pdf code/data 3D models Project Page [BibTex] Share Zuffi, S. , Kanazawa, A. , Black, M. J. Lions and Tigers and Bears: Capturing Non-Rigid, 3D, Articulated Shape from Images In IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , IEEE Computer Society, 2018 (inproceedings) pdf code/data 3D models Project Page [BibTex] 2017 Learning a model of facial shape and expression from 4D scans Li, T. , Bolkart, T. , Black, M. J. , Li, H., Romero, J. ACM Transactions on Graphics , 36(6):194:1-194:17, November 2017, Two first authors contributed equally (article) Abstract The field of 3D face modeling has a large gap between high-end and low-end methods. At the high end, the best facial animation is indistinguishable from real humans, but this comes at the cost of extensive manual labor. At the low end, face capture from consumer depth sensors relies on 3D face models that are not expressive enough to capture the variability in natural facial shape and expression. We seek a middle ground by learning a facial model from thousands of accurately aligned 3D scans. Our FLAME model (Faces Learned with an Articulated Model and Expressions) is designed to work with existing graphics software and be easy to fit to data. FLAME uses a linear shape space trained from 3800 scans of human heads. FLAME combines this linear shape space with an articulated jaw, neck, and eyeballs, pose-dependent corrective blendshapes, and additional global expression from 4D face sequences in the D3DFACS dataset along with additional 4D sequences.We accurately register a template mesh to the scan sequences and make the D3DFACS registrations available for research purposes. In total the model is trained from over 33, 000 scans. FLAME is low-dimensional but more expressive than the FaceWarehouse model and the Basel Face Model. We compare FLAME to these models by fitting them to static 3D scans and 4D sequences using the same optimization method. FLAME is significantly more accurate and is available for research purposes (http://flame.is.tue.mpg.de). data/model video paper supplemental Project Page [BibTex] Share 2017 Li, T. , Bolkart, T. , Black, M. J. , Li, H., Romero, J. Learning a model of facial shape and expression from 4D scans ACM Transactions on Graphics , 36(6):194:1-194:17, November 2017, Two first authors contributed equally (article) data/model video paper supplemental Project Page [BibTex] Investigating Body Image Disturbance in Anorexia Nervosa Using Novel Biometric Figure Rating Scales: A Pilot Study Mlbert, S. C. , Thaler, A. , Streuber, S. , Black, M. J. , Karnath, H., Zipfel, S., Mohler, B. , Giel, K. E. European Eating Disorders Review , 25(6):607-612, November 2017 (article) Abstract This study uses novel biometric figure rating scales (FRS) spanning body mass index (BMI) 13.8 to 32.2 kg/m2 and BMI 18 to 42 kg/m2. The aims of the study were (i) to compare FRS body weight dissatisfaction and perceptual distortion of women with anorexia nervosa (AN) to a community sample; (ii) how FRS parameters are associated with questionnaire body dissatisfaction, eating disorder symptoms and appearance comparison habits; and (iii) whether the weight spectrum of the FRS matters. Women with AN (n=24) and a community sample of women (n=104) selected their current and ideal body on the FRS and completed additional questionnaires. Women with AN accurately picked the body that aligned best with their actual weight in both FRS. Controls underestimated their BMI in the FRS 1432 and were accurate in the FRS 1842. In both FRS, women with AN desired a body close to their actual BMI and controls desired a thinner body. Our observations suggest that body image disturbance in AN is unlikely to be characterized by a visual perceptual disturbance, but rather by an idealization of underweight in conjunction with high body dissatisfaction. The weight spectrum of FRS can influence the accuracy of BMI estimation. publisher DOI Project Page [BibTex] Share Mlbert, S. C. , Thaler, A. , Streuber, S. , Black, M. J. , Karnath, H., Zipfel, S., Mohler, B. , Giel, K. E. Investigating Body Image Disturbance in Anorexia Nervosa Using Novel Biometric Figure Rating Scales: A Pilot Study European Eating Disorders Review , 25(6):607-612, November 2017 (article) publisher DOI Project Page [BibTex] Embodied Hands: Modeling and Capturing Hands and Bodies Together Romero, J. , Tzionas, D. , Black, M. J. ACM Transactions on Graphics, (Proc. SIGGRAPH Asia) , 36(6):245:1-245:17, 245:1245:17, ACM, November 2017 (article) Abstract Humans move their hands and bodies together to communicate and solve tasks. Capturing and replicating such coordinated activity is critical for virtual characters that behave realistically. Surprisingly, most methods treat the 3D modeling and tracking of bodies and hands separately. Here we formulate a model of hands and bodies interacting together and fit it to full-body 4D sequences. When scanning or capturing the full body in 3D, hands are small and often partially occluded, making their shape and pose hard to recover. To cope with low-resolution, occlusion, and noise, we develop a new model called MANO (hand Model with Articulated and Non-rigid defOrmations). MANO is learned from around 1000 high-resolution 3D scans of hands of 31 subjects in a wide variety of hand poses. The model is realistic, low-dimensional, captures non-rigid shape changes with pose, is compatible with standard graphics packages, and can fit any human hand. MANO provides a compact mapping from hand poses to pose blend shape corrections and a linear manifold of pose synergies. We attach MANO to a standard parameterized 3D body shape model (SMPL), resulting in a fully articulated body and hand model (SMPL+H). We illustrate SMPL+H by fitting complex, natural, activities of subjects captured with a 4D scanner. The fitting is fully automatic and results in full body models that move naturally with detailed hand motions and a realism not seen before in full body performance capture. The models and data are freely available for research purposes at http://mano.is.tue.mpg.de. website youtube paper suppl video link (url) DOI Project Page [BibTex] Share Romero, J. , Tzionas, D. , Black, M. J. Embodied Hands: Modeling and Capturing Hands and Bodies Together ACM Transactions on Graphics, (Proc. SIGGRAPH Asia) , 36(6):245:1-245:17, 245:1245:17, ACM, November 2017 (article) website youtube paper suppl video link (url) DOI Project Page [BibTex] Parameterized Model of 2D Articulated Human Shape Black, M. J. , Freifeld, O. , Weiss, A., Loper, M. , Guan, P. September 2017, U.S.~Patent 9,761,060 (misc) Abstract Disclosed are computer-readable devices, systems and methods for generating a model of a clothed body. The method includes generating a model of an unclothed human body, the model capturing a shape or a pose of the unclothed human body, determining two-dimensional contours associated with the model, and computing deformations by aligning a contour of a clothed human body with a contour of the unclothed human body. Based on the two-dimensional contours and the deformations, the method includes generating a first two-dimensional model of the unclothed human body, the first two-dimensional model factoring the deformations of the unclothed human body into one or more of a shape variation component, a viewpoint change, and a pose variation and learning an eigen-clothing model using principal component analysis applied to the deformations, wherein the eigen-clothing model classifies different types of clothing, to yield a second two-dimensional model of a clothed human body. Google Patents [BibTex] Share Black, M. J. , Freifeld, O. , Weiss, A., Loper, M. , Guan, P. Parameterized Model of 2D Articulated Human Shape September 2017, U.S.~Patent 9,761,060 (misc) Google Patents [BibTex] Effects of animation retargeting on perceived action outcomes Kenny, S., Mahmood, N. , Honda, C., Black, M. J. , Troje, N. F. Proceedings of the ACM Symposium on Applied Perception (SAP17) , pages: 2:1-2:7, September 2017 (conference) Abstract The individual shape of the human body, including the geometry of its articulated structure and the distribution of weight over that structure, influences the kinematics of a person's movements. How sensitive is the visual system to inconsistencies between shape and motion introduced by retargeting motion from one person onto the shape of another? We used optical motion capture to record five pairs of male performers with large differences in body weight, while they pushed, lifted, and threw objects. Based on a set of 67 markers, we estimated both the kinematics of the actions as well as the performer's individual body shape. To obtain consistent and inconsistent stimuli, we created animated avatars by combining the shape and motion estimates from either a single performer or from different performers. In a virtual reality environment, observers rated the perceived weight or thrown distance of the objects. They were also asked to explicitly discriminate between consistent and hybrid stimuli. Observers were unable to accomplish the latter, but hybridization of shape and motion influenced their judgements of action outcome in systematic ways. Inconsistencies between shape and motion were assimilated into an altered perception of the action outcome. pdf DOI [BibTex] Share Kenny, S., Mahmood, N. , Honda, C., Black, M. J. , Troje, N. F. Effects of animation retargeting on perceived action outcomes Proceedings of the ACM Symposium on Applied Perception (SAP17) , pages: 2:1-2:7, September 2017 (conference) pdf DOI [BibTex] Dynamic FAUST: Registering Human Bodies in Motion Bogo, F. , Romero, J. , Pons-Moll, G. , Black, M. J. In Proceedings IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017 , IEEE, Piscataway, NJ, USA, July 2017 (inproceedings) Abstract While the ready availability of 3D scan data has influenced research throughout computer vision, less attention has focused on 4D data; that is 3D scans of moving nonrigid objects, captured over time. To be useful for vision research, such 4D scans need to be registered, or aligned, to a common topology. Consequently, extending mesh registration methods to 4D is important. Unfortunately, no ground-truth datasets are available for quantitative evaluation and comparison of 4D registration methods. To address this we create a novel dataset of high-resolution 4D scans of human subjects in motion, captured at 60 fps. We propose a new mesh registration method that uses both 3D geometry and texture information to register all scans in a sequence to a common reference topology. The approach exploits consistency in texture over both short and long time intervals and deals with temporal offsets between shape and texture capture. We show how using geometry alone results in significant errors in alignment when the motions are fast and non-rigid. We evaluate the accuracy of our registration and provide a dataset of 40,000 raw and aligned meshes. Dynamic FAUST extends the popular FAUST dataset to dynamic 4D data, and is available for research purposes at http://dfaust.is.tue.mpg.de. pdf video Project Page Project Page Project Page [BibTex] Share Bogo, F. , Romero, J. , Pons-Moll, G. , Black, M. J. Dynamic FAUST: Registering Human Bodies in Motion In Proceedings IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017 , IEEE, Piscataway, NJ, USA, July 2017 (inproceedings) pdf video Project Page Project Page Project Page [BibTex] Learning from Synthetic Humans Varol, G. , Romero, J. , Martin, X., Mahmood, N. , Black, M. J. , Laptev, I., Schmid, C. In Proceedings IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017 , IEEE, Piscataway, NJ, USA, July 2017 (inproceedings) Abstract Estimating human pose, shape, and motion from images and videos are fundamental challenges with many applications. Recent advances in 2D human pose estimation use large amounts of manually-labeled training data for learning convolutional neural networks (CNNs). Such data is time consuming to acquire and difficult to extend. Moreover, manual labeling of 3D pose, depth and motion is impractical. In this work we present SURREAL (Synthetic hUmans foR REAL tasks): a new large-scale dataset with synthetically-generated but realistic images of people rendered from 3D sequences of human motion capture data. We generate more than 6 million frames together with ground truth pose, depth maps, and segmentation masks. We show that CNNs trained on our synthetic dataset allow for accurate human depth estimation and human part segmentation in real RGB images. Our results and the new dataset open up new possibilities for advancing person analysis using cheap and large-scale synthetic data. arXiv project data Project Page Project Page [BibTex] Share Varol, G. , Romero, J. , Martin, X., Mahmood, N. , Black, M. J. , Laptev, I., Schmid, C. Learning from Synthetic Humans In Proceedings IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017 , IEEE, Piscataway, NJ, USA, July 2017 (inproceedings) arXiv project data Project Page Project Page [BibTex] On human motion prediction using recurrent neural networks Martinez, J. , Black, M. J. , Romero, J. In Proceedings IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017 , IEEE, Piscataway, NJ, USA, July 2017 (inproceedings) Abstract Human motion modelling is a classical problem at the intersection of graphics and computer vision, with applications spanning human-computer interaction, motion synthesis, and motion prediction for virtual and augmented reality. Following the success of deep learning methods in several computer vision tasks, recent work has focused on using deep recurrent neural networks (RNNs) to model human motion, with the goal of learning time-dependent representations that perform tasks such as short-term motion prediction and long-term human motion synthesis. We examine recent work, with a focus on the evaluation methodologies commonly used in the literature, and show that, surprisingly, state-of-the-art performance can be achieved by a simple baseline that does not attempt to model motion at all. We investigate this result, and analyze recent RNN methods by looking at the architectures, loss functions, and training procedures used in state-of-the-art approaches. We propose three changes to the standard RNN models typically used for human motion, which result in a simple and scalable RNN architecture that obtains state-of-the-art performance on human motion prediction. arXiv Project Page [BibTex] Share Martinez, J. , Black, M. J. , Romero, J. On human motion prediction using recurrent neural networks In Proceedings IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017 , IEEE, Piscataway, NJ, USA, July 2017 (inproceedings) arXiv Project Page [BibTex] Slow Flow: Exploiting High-Speed Cameras for Accurate and Diverse Optical Flow Reference Data Janai, J. , Gney, F. , Wulff, J. , Black, M. , Geiger, A. In Proceedings IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017 , pages: 1406-1416, IEEE, Piscataway, NJ, USA, July 2017 (inproceedings) Abstract Existing optical flow datasets are limited in size and variability due to the difficulty of capturing dense ground truth. In this paper, we tackle this problem by tracking pixels through densely sampled space-time volumes recorded with a high-speed video camera. Our model exploits the linearity of small motions and reasons about occlusions from multiple frames. Using our technique, we are able to establish accurate reference flow fields outside the laboratory in natural environments. Besides, we show how our predictions can be used to augment the input images with realistic motion blur. We demonstrate the quality of the produced flow fields on synthetic and real-world datasets. Finally, we collect a novel challenging optical flow dataset by applying our technique on data from a high-speed camera and analyze the performance of the state-of-the-art in optical flow under various levels of motion blur. pdf suppmat Project page Video DOI Project Page [BibTex] Share Janai, J. , Gney, F. , Wulff, J. , Black, M. , Geiger, A. Slow Flow: Exploiting High-Speed Cameras for Accurate and Diverse Optical Flow Reference Data In Proceedings IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017 , pages: 1406-1416, IEEE, Piscataway, NJ, USA, July 2017 (inproceedings) pdf suppmat Project page Video DOI Project Page [BibTex] Optical Flow in Mostly Rigid Scenes Wulff, J. , Sevilla-Lara, L. , Black, M. J. In Proceedings IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017 , pages: 6911-6920, IEEE, Piscataway, NJ, USA, July 2017 (inproceedings) Abstract The optical flow of natural scenes is a combination of the motion of the observer and the independent motion of objects. Existing algorithms typically focus on either recovering motion and structure under the assumption of a purely static world or optical flow for general unconstrained scenes. We combine these approaches in an optical flow algorithm that estimates an explicit segmentation of moving objects from appearance and physical constraints. In static regions we take advantage of strong constraints to jointly estimate the camera motion and the 3D structure of the scene over multiple frames. This allows us to also regularize the structure instead of the motion. Our formulation uses a Plane+Parallax framework, which works even under small baselines, and reduces the motion estimation to a one-dimensional search problem, resulting in more accurate estimation. In moving regions the flow is treated as unconstrained, and computed with an existing optical flow method. The resulting Mostly-Rigid Flow (MR-Flow) method achieves state-of-the-art results on both the MPISintel and KITTI-2015 benchmarks. pdf SupMat video code Project Page [BibTex] Share Wulff, J. , Sevilla-Lara, L. , Black, M. J. Optical Flow in Mostly Rigid Scenes In Proceedings IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017 , pages: 6911-6920, IEEE, Piscataway, NJ, USA, July 2017 (inproceedings) pdf SupMat video code Project Page [BibTex] Detailed, accurate, human shape estimation from clothed 3D scan sequences Zhang, C. , Pujades, S. , Black, M. , Pons-Moll, G. In 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , IEEE Computer Society, Washington, DC, USA, July 2017, Spotlight (inproceedings) Abstract We address the problem of estimating human body shape from 3D scans over time. Reliable estimation of 3D body shape is necessary for many applications including virtual try-on, health monitoring, and avatar creation for virtual reality. Scanning bodies in minimal clothing, however, presents a practical barrier to these applications. We address this problem by estimating body shape under clothing from a sequence of 3D scans. Previous methods that have exploited statistical models of body shape produce overly smooth shapes lacking personalized details. In this paper we contribute a new approach to recover not only an approximate shape of the person, but also their detailed shape. Our approach allows the estimated shape to deviate from a parametric model to fit the 3D scans. We demonstrate the method using high quality 4D data as well as sequences of visual hulls extracted from multi-view images. We also make available a new high quality 4D dataset that enables quantitative evaluation. Our method outperforms the previous state of the art, both qualitatively and quantitatively. arxiv_preprint video dataset pdf supplemental Project Page [BibTex] Share Zhang, C. , Pujades, S. , Black, M. , Pons-Moll, G. Detailed, accurate, human shape estimation from clothed 3D scan sequences In 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , IEEE Computer Society, Washington, DC, USA, July 2017, Spotlight (inproceedings) arxiv_preprint video dataset pdf supplemental Project Page [BibTex] 3D Menagerie: Modeling the 3D Shape and Pose of Animals Zuffi, S. , Kanazawa, A. , Jacobs, D., Black, M. J. In Proceedings IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017 , pages: 5524-5532, IEEE, Piscataway, NJ, USA, July 2017 (inproceedings) Abstract There has been significant work on learning realistic, articulated, 3D models of the human body. In contrast, there are few such models of animals, despite many applications. The main challenge is that animals are much less cooperative than humans. The best human body models are learned from thousands of 3D scans of people in specific poses, which is infeasible with live animals. Consequently, we learn our model from a small set of 3D scans of toy figurines in arbitrary poses. We employ a novel part-based shape model to compute an initial registration to the scans. We then normalize their pose, learn a statistical shape model, and refine the registrations and the model together. In this way, we accurately align animal scans from different quadruped families with very different shapes and poses. With the registration to a common template we learn a shape space representing animals including lions, cats, dogs, horses, cows and hippos. Animal shapes can be sampled from the model, posed, animated, and fit to data. We demonstrate generalization by fitting it to images of real animals including species not seen in training. pdf video Project Page [BibTex] Share Zuffi, S. , Kanazawa, A. , Jacobs, D., Black, M. J. 3D Menagerie: Modeling the 3D Shape and Pose of Animals In Proceedings IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017 , pages: 5524-5532, IEEE, Piscataway, NJ, USA, July 2017 (inproceedings) pdf video Project Page [BibTex] Optical Flow Estimation using a Spatial Pyramid Network Ranjan, A. , Black, M. In Proceedings IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017 , IEEE, Piscataway, NJ, USA, July 2017 (inproceedings) Abstract We learn to compute optical flow by combining a classical spatial-pyramid formulation with deep learning. This estimates large motions in a coarse-to-fine approach by warping one image of a pair at each pyramid level by the current flow estimate and computing an update to the flow. Instead of the standard minimization of an objective function at each pyramid level, we train one deep network per level to compute the flow update. Unlike the recent FlowNet approach, the networks do not need to deal with large motions; these are dealt with by the pyramid. This has several advantages. First, our Spatial Pyramid Network (SPyNet) is much simpler and 96% smaller than FlowNet in terms of model parameters. This makes it more efficient and appropriate for embedded applications. Second, since the flow at each pyramid level is small (< 1 pixel), a convolutional approach applied to pairs of warped images is appropriate. Third, unlike FlowNet, the learned convolution filters appear similar to classical spatio-temporal filters, giving insight into the method and how to improve it. Our results are more accurate than FlowNet on most standard benchmarks, suggesting a new direction of combining classical flow methods with deep learning. pdf SupMat project/code [BibTex] Share Ranjan, A. , Black, M. Optical Flow Estimation using a Spatial Pyramid Network In Proceedings IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017 , IEEE, Piscataway, NJ, USA, July 2017 (inproceedings) pdf SupMat project/code [BibTex] Semantic Multi-view Stereo: Jointly Estimating Objects and Voxels Ulusoy, A. O. , Black, M. J. , Geiger, A. In Proceedings IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017 , IEEE, Piscataway, NJ, USA, July 2017 (inproceedings) Abstract Dense 3D reconstruction from RGB images is a highly ill-posed problem due to occlusions, textureless or reflective surfaces, as well as other challenges. We propose object-level shape priors to address these ambiguities. Towards this goal, we formulate a probabilistic model that integrates multi-view image evidence with 3D shape information from multiple objects. Inference in this model yields a dense 3D reconstruction of the scene as well as the existence and precise 3D pose of the objects in it. Our approach is able to recover fine details not captured in the input shapes while defaulting to the input models in occluded regions where image evidence is weak. Due to its probabilistic nature, the approach is able to cope with the approximate geometry of the 3D models as well as input shapes that are not present in the scene. We evaluate the approach quantitatively on several challenging indoor and outdoor datasets. YouTube pdf suppmat Project Page [BibTex] Share Ulusoy, A. O. , Black, M. J. , Geiger, A. Semantic Multi-view Stereo: Jointly Estimating Objects and Voxels In Proceedings IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017 , IEEE, Piscataway, NJ, USA, July 2017 (inproceedings) YouTube pdf suppmat Project Page [BibTex] Deep representation learning for human motion prediction and classification Btepage, J. , Black, M. , Kragic, D., Kjellstrm, H. In Proceedings IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017 , IEEE, Piscataway, NJ, USA, July 2017 (inproceedings) Abstract Generative models of 3D human motion are often restricted to a small number of activities and can therefore not generalize well to novel movements or applications. In this work we propose a deep learning framework for human motion capture data that learns a generic representation from a large corpus of motion capture data and generalizes well to new, unseen, motions. Using an encoding-decoding network that learns to predict future 3D poses from the most recent past, we extract a feature representation of human motion. Most work on deep learning for sequence prediction focuses on video and speech. Since skeletal data has a different structure, we present and evaluate different network architectures that make different assumptions about time dependencies and limb correlations. To quantify the learned features, we use the output of different layers for action classification and visualize the receptive fields of the network units. Our method outperforms the recent state of the art in skeletal motion prediction even though these use action specific training data. Our results show that deep feedforward networks, trained from a generic mocap database, can successfully be used for feature extraction from human motion data and that this representation can be used as a foundation for classification and prediction. arXiv Project Page [BibTex] Share Btepage, J. , Black, M. , Kragic, D., Kjellstrm, H. Deep representation learning for human motion prediction and classification In Proceedings IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017 , IEEE, Piscataway, NJ, USA, July 2017 (inproceedings) arXiv Project Page [BibTex] Unite the People: Closing the Loop Between 3D and 2D Human Representations Lassner, C. , Romero, J. , Kiefel, M. , Bogo, F. , Black, M. J. , Gehler, P. V. In Proceedings IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017 , IEEE, Piscataway, NJ, USA, July 2017 (inproceedings) Abstract 3D models provide a common ground for different representations of human bodies. In turn, robust 2D estimation has proven to be a powerful tool to obtain 3D fits in-the-wild. However, depending on the level of detail, it can be hard to impossible to acquire labeled data for training 2D estimators on large scale. We propose a hybrid approach to this problem: with an extended version of the recently introduced SMPLify method, we obtain high quality 3D body model fits for multiple human pose datasets. Human annotators solely sort good and bad fits. This procedure leads to an initial dataset, UP-3D, with rich annotations. With a comprehensive set of experiments, we show how this data can be used to train discriminative models that produce results with an unprecedented level of detail: our models predict 31 segments and 91 landmark locations on the body. Using the 91 landmark pose estimator, we present state-of-the art results for 3D human pose and shape estimation using an order of magnitude less training data and without assumptions about gender or pose in the fitting procedure. We show that UP-3D can be enhanced with these improved fits to grow in quantity and quality, which makes the system deployable on large scale. The data, code and models are available for research purposes. arXiv project/code/data Project Page [BibTex] Share Lassner, C. , Romero, J. , Kiefel, M. , Bogo, F. , Black, M. J. , Gehler, P. V. Unite the People: Closing the Loop Between 3D and 2D Human Representations In Proceedings IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2017 , IEEE, Piscataway, NJ, USA, July 2017 (inproceedings) arXiv project/code/data Project Page [BibTex] Method for providing a three dimensional body model Loper, M. , Mahmood, N. , Black, M. July 2017, U.S.~Patent 9,710,964 B2. (misc) Abstract A method for providing a three-dimensional body model which may be applied for an animation, based on a moving body, wherein the method comprises providing a parametric three-dimensional body model, which allows shape and pose variations; applying a standard set of body markers; optimizing the set of body markers by generating an additional set of body markers and applying the same for providing 3D coordinate marker signals for capturing shape and pose of the body and dynamics of soft tissue; and automatically providing an animation by processing the 3D coordinate marker signals in order to provide a personalized three-dimensional body model, based on estimated shape and an estimated pose of the body by means of predicted marker locations. Google Patents MoSh Project [BibTex] Share Loper, M. , Mahmood, N. , Black, M. Method for providing a three dimensional body model July 2017, U.S.~Patent 9,710,964 B2. (misc) Google Patents MoSh Project [BibTex] System and method for simulating realistic clothing Black, M. J. , Guan, P. June 2017, U.S.~Patent 9,679,409 B2 (misc) Abstract Systems, methods, and computer-readable storage media for simulating realistic clothing. The system generates a clothing deformation model for a clothing type, wherein the clothing deformation model factors a change of clothing shape due to rigid limb rotation, pose-independent body shape, and pose-dependent deformations. Next, the system generates a custom-shaped garment for a given body by mapping, via the clothing deformation model, body shape parameters to clothing shape parameters. The system then automatically dresses the given body with the custom- shaped garment. Google Patents pdf [BibTex] Share Black, M. J. , Guan, P. System and method for simulating realistic clothing June 2017, U.S.~Patent 9,679,409 B2 (misc) Google Patents pdf [BibTex] Appealing Avatars from 3D Body Scans: Perceptual Effects of Stylization Fleming, R., Mohler, B. J. , Romero, J. , Black, M. J. , Breidt, M. In Computer Vision, Imaging and Computer Graphics Theory and Applications: 11th International Joint Conference, VISIGRAPP 2016, Rome, Italy, February 27 29, 2016, Revised Selected Papers , pages: 175-196, Springer International Publishing, 2017 (inbook) Abstract Using styles derived from existing popular character designs, we present a novel automatic stylization technique for body shape and colour information based on a statistical 3D model of human bodies. We investigate whether such stylized body shapes result in increased perceived appeal with two different experiments: One focuses on body shape alone, the other investigates the additional role of surface colour and lighting. Our results consistently show that the most appealing avatar is a partially stylized one. Importantly, avatars with high stylization or no stylization at all were rated to have the least appeal. The inclusion of colour information and improvements to render quality had no significant effect on the overall perceived appeal of the avatars, and we observe that the body shape primarily drives the change in appeal ratings. For body scans with colour information, we found that a partially stylized avatar was perceived as most appealing. publisher site pdf DOI [BibTex] Share Fleming, R., Mohler, B. J. , Romero, J. , Black, M. J. , Breidt, M. Appealing Avatars from 3D Body Scans: Perceptual Effects of Stylization In Computer Vision, Imaging and Computer Graphics Theory and Applications: 11th International Joint Conference, VISIGRAPP 2016, Rome, Italy, February 27 29, 2016, Revised Selected Papers , pages: 175-196, Springer International Publishing, 2017 (inbook) publisher site pdf DOI [BibTex] Data-Driven Physics for Human Soft Tissue Animation Kim, M. , Pons-Moll, G. , Pujades, S. , Bang, S., Kim, J., Black, M. J. , Lee, S. ACM Transactions on Graphics, (Proc. SIGGRAPH) , 36(4):54:1-54:12, 2017 (article) Abstract Data driven models of human poses and soft-tissue deformations can produce very realistic results, but they only model the visible surface of the human body and cannot create skin deformation due to interactions with the environment. Physical simulations can generalize to external forces, but their parameters are difficult to control. In this paper, we present a layered volumetric human body model learned from data. Our model is composed of a data-driven inner layer and a physics-based external layer. The inner layer is driven with a volumetric statistical body model (VSMPL). The soft tissue layer consists of a tetrahedral mesh that is driven using the finite element method (FEM). Model parameters, namely the segmentation of the body into layers and the soft tissue elasticity, are learned directly from 4D registrations of humans exhibiting soft tissue deformations. The learned two layer model is a realistic full-body avatar that generalizes to novel motions and external forces. Experiments show that the resulting avatars produce realistic results on held out sequences and react to external forces. Moreover, the model supports the retargeting of physical properties from one avatar when they share the same topology. video paper link (url) Project Page [BibTex] Share Kim, M. , Pons-Moll, G. , Pujades, S. , Bang, S., Kim, J., Black, M. J. , Lee, S. Data-Driven Physics for Human Soft Tissue Animation ACM Transactions on Graphics, (Proc. SIGGRAPH) , 36(4):54:1-54:12, 2017 (article) video paper link (url) Project Page [BibTex] Towards Accurate Marker-less Human Shape and Pose Estimation over Time Huang, Y. , Bogo, F. , Lassner, C. , Kanazawa, A. , Gehler, P. V. , Romero, J. , Akhter, I. , Black, M. J. In International Conference on 3D Vision (3DV) , pages: 421-430, 2017 (inproceedings) Abstract Existing markerless motion capture methods often assume known backgrounds, static cameras, and sequence specific motion priors, limiting their application scenarios. Here we present a fully automatic method that, given multiview videos, estimates 3D human pose and body shape. We take the recently proposed SMPLify method [12] as the base method and extend it in several ways. First we fit a 3D human body model to 2D features detected in multi-view images. Second, we use a CNN method to segment the person in each image and fit the 3D body model to the contours, further improving accuracy. Third we utilize a generic and robust DCT temporal prior to handle the left and right side swapping issue sometimes introduced by the 2D pose estimator. Validation on standard benchmarks shows our results are comparable to the state of the art and also provide a realistic 3D shape avatar. We also demonstrate accurate results on HumanEva and on challenging monocular sequences of dancing from YouTube. Code pdf DOI Project Page [BibTex] Share Huang, Y. , Bogo, F. , Lassner, C. , Kanazawa, A. , Gehler, P. V. , Romero, J. , Akhter, I. , Black, M. J. Towards Accurate Marker-less Human Shape and Pose Estimation over Time In International Conference on 3D Vision (3DV) , pages: 421-430, 2017 (inproceedings) Code pdf DOI Project Page [BibTex] Sparse Inertial Poser: Automatic 3D Human Pose Estimation from Sparse IMUs (Best Paper, Eurographics 2017) Marcard, T. V., Rosenhahn, B., Black, M. , Pons-Moll, G. Computer Graphics Forum 36(2), Proceedings of the 38th Annual Conference of the European Association for Computer Graphics (Eurographics) , pages: 349-360 , 2017 (article) Abstract We address the problem of making human motion capture in the wild more practical by using a small set of inertial sensors attached to the body. Since the problem is heavily under-constrained, previous methods either use a large number of sensors, which is intrusive, or they require additional video input. We take a different approach and constrain the problem by: (i) making use of a realistic statistical body model that includes anthropometric constraints and (ii) using a joint optimization framework to fit the model to orientation and acceleration measurements over multiple frames. The resulting tracker Sparse Inertial Poser (SIP) enables motion capture using only 6 sensors (attached to the wrists, lower legs, back and head) and works for arbitrary human motions. Experiments on the recently released TNT15 dataset show that, using the same number of sensors, SIP achieves higher accuracy than the dataset baseline without using any video data. We further demonstrate the effectiveness of SIP on newly recorded challenging motions in outdoor scenarios such as climbing or jumping over a wall video pdf Project Page [BibTex] Share Marcard, T. V., Rosenhahn, B., Black, M. , Pons-Moll, G. Sparse Inertial Poser: Automatic 3D Human Pose Estimation from Sparse IMUs Computer Graphics Forum 36(2), Proceedings of the 38th Annual Conference of the European Association for Computer Graphics (Eurographics) , pages: 349-360 , 2017 (article) video pdf Project Page [BibTex] ClothCap: Seamless 4D Clothing Capture and Retargeting Pons-Moll, G. , Pujades, S. , Hu, S., Black, M. ACM Transactions on Graphics, (Proc. SIGGRAPH) , 36(4):73:1-73:15, ACM, New York, NY, USA, 2017, Two first authors contributed equally (article) Abstract Designing and simulating realistic clothing is challenging and, while several methods have addressed the capture of clothing from 3D scans, previous methods have been limited to single garments and simple motions, lack detail, or require specialized texture patterns. Here we address the problem of capturing regular clothing on fully dressed people in motion. People typically wear multiple pieces of clothing at a time. To estimate the shape of such clothing, track it over time, and render it believably, each garment must be segmented from the others and the body. Our ClothCap approach uses a new multi-part 3D model of clothed bodies, automatically segments each piece of clothing, estimates the naked body shape and pose under the clothing, and tracks the 3D deformations of the clothing over time. We estimate the garments and their motion from 4D scans; that is, high-resolution 3D scans of the subject in motion at 60 fps. The model allows us to capture a clothed person in motion, extract their clothing, and retarget the clothing to new body shapes. ClothCap provides a step towards virtual try-on with a technology for capturing, modeling, and analyzing clothing in motion. video project_page paper link (url) DOI Project Page Project Page [BibTex] Share Pons-Moll, G. , Pujades, S. , Hu, S., Black, M. ClothCap: Seamless 4D Clothing Capture and Retargeting ACM Transactions on Graphics, (Proc. SIGGRAPH) , 36(4):73:1-73:15, ACM, New York, NY, USA, 2017, Two first authors contributed equally (article) video project_page paper link (url) DOI Project Page Project Page [BibTex] 2016 Creating body shapes from verbal descriptions by linking similarity spaces Hill, M. Q. , Streuber, S. , Hahn, C. A., Black, M. J. , OToole, A. J. Psychological Science , 27(11):1486-1497, November 2016, (article) Abstract Brief verbal descriptions of bodies (e.g. curvy, long-legged) can elicit vivid mental images. The ease with which we create these mental images belies the complexity of three-dimensional body shapes. We explored the relationship between body shapes and body descriptions and show that a small number of words can be used to generate categorically accurate representations of three-dimensional bodies. The dimensions of body shape variation that emerged in a language-based similarity space were related to major dimensions of variation computed directly from three-dimensional laser scans of 2094 bodies. This allowed us to generate three-dimensional models of people in the shape space using only their coordinates on analogous dimensions in the language-based description space. Human descriptions of photographed bodies and their corresponding models matched closely. The natural mapping between the spaces illustrates the role of language as a concise code for body shape, capturing perceptually salient global and local body features. pdf [BibTex] Share 2016 Hill, M. Q. , Streuber, S. , Hahn, C. A., Black, M. J. , OToole, A. J. Creating body shapes from verbal descriptions by linking similarity spaces Psychological Science , 27(11):1486-1497, November 2016, (article) pdf [BibTex] Keep it SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image Bogo, F. , Kanazawa, A. , Lassner, C. , Gehler, P. , Romero, J. , Black, M. J. In Computer Vision ECCV 2016 , pages: 561-578, Lecture Notes in Computer Science, Springer International Publishing, October 2016 (inproceedings) Abstract We describe the first method to automatically estimate the 3D pose of the human body as well as its 3D shape from a single unconstrained image. We estimate a full 3D mesh and show that 2D joints alone carry a surprising amount of information about body shape. The problem is challenging because of the complexity of the human body, articulation, occlusion, clothing, lighting, and the inherent ambiguity in inferring 3D from 2D. To solve this, we fi rst use a recently published CNN-based method, DeepCut, to predict (bottom-up) the 2D body joint locations. We then fit (top-down) a recently published statistical body shape model, called SMPL, to the 2D joints. We do so by minimizing an objective function that penalizes the error between the projected 3D model joints and detected 2D joints. Because SMPL captures correlations in human shape across the population, we are able to robustly fi t it to very little data. We further leverage the 3D model to prevent solutions that cause interpenetration. We evaluate our method, SMPLify, on the Leeds Sports, HumanEva, and Human3.6M datasets, showing superior pose accuracy with respect to the state of the art. pdf Video Sup Mat video Code Project Project Page [BibTex] Share Bogo, F. , Kanazawa, A. , Lassner, C. , Gehler, P. , Romero, J. , Black, M. J. Keep it SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image In Computer Vision ECCV 2016 , pages: 561-578, Lecture Notes in Computer Science, Springer International Publishing, October 2016 (inproceedings) pdf Video Sup Mat video Code Project Project Page [BibTex] Previous 1 2 3 4 5 6 Next Our goal is to understand the principles of Perception, Action and Learning in autonomous systems that successfully interact with complex environments and to use this understanding to design future systems Latest News Michael Black receives UBC Computer Science Department Alumni Research Award 2018 29 November 2018 Siyu Tang receives DAGM MVTec 2018 Dissertation Award 11 October 2018 Body perception research using virtual reality is this avatar really me? 10 October 2018 Realistic Avatars for the Virtual Zoo 20 June 2018 Links Cyber Valley IMPRS-IS Center for Learning Systems Computer Science at Max Planck linkedIn Twitter YouTube FaceBook Intranet (internal) Confluence Wiki (internal) Contact Us Max Planck Institute for Intelligent Systems Max-Planck-Ring 4 72076 Tbingen Heisenbergstr. 3 70569 Stuttgart Germany info@is.mpg.de For website questions and technical problems please contact: web@is.mpg.de 2019 Max-Planck-Gesellschaft - Imprint | Privacy Policy Sign In We use cookies to improve your website experience. Find out more about our cookies and how to disable them . By continuing, you consent to our use of cookies. Continue diff --git a/src/data/compiled_bios/3393.txt b/src/data/compiled_bios/3393.txt new file mode 100644 index 0000000000..569db57be6 --- /dev/null +++ b/src/data/compiled_bios/3393.txt @@ -0,0 +1 @@ + Curious Sense Work Agency Work Posts & Press Contact Facebook LinkedIn Twitter RSS Curious Sense is the online journal of Adam Blumenthal, Chief Digital Officer at Optimity Advisors and a Professor of the Practice and Virtual Reality Artist-in-Residence at Brown University. Curious? From Concept to Results Prev Next 1 2 3 4 From Concept to Results Designing Digital Experiences Recognition for the Work Thought Leadership Posts & Press 6 Jan A 3rd Term at the White House Adam Blumenthal Attends Discussions on VR for STEM Education On December 12, 2016, The Executive Office of the President of the United States, Office of Science and Technology Policy hosted a meeting regarding the use 14 Oct Adam Blumenthal Attends White House Symposium on the Future of Education R&D and Digital Learning On October 5, 2016, Curious Sense founder, Adam Blumenthal, was one of 200 guests from around the country to attend the White House Summit on Computer 17 Sep Adam Blumenthal Attends White House Summit on Computer Science for All On September 14, 2016, Curious Sense founder, Adam Blumenthal, was one of 200 guests from around the country to attend the White House Summit on Computer 8 Jun Brown University Names Adam Blumenthal Virtual Reality Artist-in-Residence Curious Sense founder charged with developing ground-breaking virtual reality experiences with students, faculty, and 3rd parties. 1 Jun Social Media Marketing Text Book Cites Adam Blumenthals Article on Branded Games Social Media Marketing was the first textbook to cover this vital subject. It shows how social media fits into and complements the marketers toolbox. The book 5 May New York Times Cites Our Music Video Game As a Marketing Innovation Stuart Elliott of The New York Times writes about Curious Sensess strategy to both market and generate revenue for artists in the struggling music industry 18 Apr Billboard Invites Blumenthal to Write About Digital Innovation for Music Industry After several successful innovative digital marketing projects with music artists, Billboard asked Adam Blumenthal to write an op-ed piece about his experience transitioning from the agency world to the music industry 15 Apr Who Art Thou, Chief Digital Officer? Its hard to find something if you dont know what youre looking for. Just ask professional recruiters tasked with finding the elusive chief digital officer (CDO). 1 Apr New Music Industry Textbook Quotes Adam Blumenthals Billboard Op-Ed Professor Tim J. Andersons new book,Popular Music in a Digital Music Economy Problems and Practices for an Emerging Service Industry, quotes my Billboard Op-Ed piece, and 12 Mar New York Times Features Curious Sense Work With The Design Network Curious Sense was instrumental in developing and pitching the story that led to this article by Stuart Elliott in The New York Times Older Entries Chief Digital Officer Hello! I'm Adam Blumenthal. Since 1993 I have been leading world-class interactive media productions with the world's best known brands. Equally adept and deep from Biz Dev to Strategy to Creative to Implementation, I have lead dozens of award-winning productions - as a leader at preeminent Madison Avenue agencies, producer of more than a dozen digital games and virtual worlds, and as Chief Digital Officer at Optimity Advisors. I'm a first-generation Digital Native, interactive since 1980. After more than 30 years I share here the perspective of a lifetime creative-technologist by passion and profession. Connect? Visionary Thinking. Brilliant Execution. 2008-2018 Curious Sense | Adam Blumenthal, Chief Digital Officer Google+ diff --git a/src/data/compiled_bios/3394.txt b/src/data/compiled_bios/3394.txt new file mode 100644 index 0000000000..248d695a84 --- /dev/null +++ b/src/data/compiled_bios/3394.txt @@ -0,0 +1 @@ + Bruce Donald Campbell Adjunct Professor of Computer Science (research) , Brown University . Research Interests My research centers around applications of visualization, computational modeling, computer graphics, and computer science to ocean science and product design disciplines. Particular interests include visualization of multivalued multidimensional ocean sensor and modeling data, comparisons of virtual and non-virtual environments for scientific tasks, and applications of art and perception to visualization. These interests align with David Laidlaw's Visualization Research Lab (VRL) which originated my interest in working at Brown. I earned my PhD from U Washington while working in the Center for Environmental Visualization group on campus. My PhD applied computer science research (started during a Masters in Computer Science program at the Rensselaer Polytechnic Institute ) to an interdisciplinary Systems Engineering focus for the PhD. I obtained a Masters in Information Science from U Wisconsin which continues to inspire much of my research. I work to contribute my research through publications and teaching experience. RISD CE Faculty My role within the RISD web design + interactivity program contains a source of information on what I teach and where I apply research results. Questions, comments, suggestions? E-mail me: bruce_campbell [at] brown.edu Brown University Providence, RI 02912 401-632-4299 (voice) 401-863-7657 (fax) diff --git a/src/data/compiled_bios/3395.txt b/src/data/compiled_bios/3395.txt new file mode 100644 index 0000000000..a34bc9857a --- /dev/null +++ b/src/data/compiled_bios/3395.txt @@ -0,0 +1 @@ + Pages at this location are redirected to /people/tdean . diff --git a/src/data/compiled_bios/3396.txt b/src/data/compiled_bios/3396.txt new file mode 100644 index 0000000000..4bfad8e842 --- /dev/null +++ b/src/data/compiled_bios/3396.txt @@ -0,0 +1 @@ + Pages at this location are redirected to /people/jh23 . diff --git a/src/data/compiled_bios/3397.txt b/src/data/compiled_bios/3397.txt new file mode 100644 index 0000000000..312dd3ec64 --- /dev/null +++ b/src/data/compiled_bios/3397.txt @@ -0,0 +1 @@ + John Jannotti Courses cs161: Building High-Performance Servers cs168: Computer Networks cs296-2: Large-Scale Networked Systems Publications Distributed Systems Making P2P Accountable Without Losing Privacy XPORT (SIGMOD) XPORT (SeNS) Locality Aware Networked Join Evaluation Overcast: Reliable Multicasting with an Overlay Network System Software BorderPatrol (in submission, write for a copy) Safe at Any Speed: Fast, Safe Parallelism in Servers (poster) Exokernel (MEng) Exokernel (SOSP) Sensors and Mobile Networking Distributed Calibration of Smart Cameras Data-Centric Visual Sensor Networks for 3D Sensing Image Based Routing for Image Based Rendering CarNet Grid Networking/Routing Blind Source Routing (in submission, write for a copy) Reflect/Paint (PhD) Reflect/Paint (OpenArch) Click (TOCS) Click (SOSP) Companies Foodler is a site to order takeout and delivery food in the Boston area. I used to work for Cisco after they bought a content distribution company I worked for, SightPath. jj@cs.brown.edu Box 1910, Computer Science Department Brown University Providence, RI 02912 401-863-7755 (voice) 401-863-7657 (fax) diff --git a/src/data/compiled_bios/3398.txt b/src/data/compiled_bios/3398.txt new file mode 100644 index 0000000000..e5a284db43 --- /dev/null +++ b/src/data/compiled_bios/3398.txt @@ -0,0 +1 @@ + Serdar Kadolu Home Publications Service Software Teaching Resources Home Publications Resources Service Software Teaching Home Contact: Oracle Corporation 10 Van de Graaff Drive Burlington, MA, USA 01803 Currently, I serve as the vice president of AI at Fidelity Investments and an adjunct faculty member in the Dept. of Computer Science at Brown University. Previously, I led the Advanced Constraint Technology R&D team at Oracle. My algorithmic research is focused on Artificial Intelligence, Machine Learning, and Optimization, while my practical interests are in building robust, scalable, data-driven products that address business-c ritical problems. I received my Ph.D. at Brown University under the supervision of Meinolf Sellmann . My thesis work explored deterministic inference methods for constraint satisfaction, search protocols for constrained optimization, and stochastic local search. I also worked at Adobe developing an AI-based test case generator for the ActionScript virtual machine and was a researcher at Astra Group on Combinatorial Optimization hosted by Prof. Pierre Flener . Outside of work, I am an avid soccer fan; playing, watching and coaching. [2018 - present] Vice President - AI, Fidelity Investments, USA [2016 - present] Visiting Assistant Professor, Brown University, USA [2011 - 2017] Manager of Research&Development, Oracle, USA Named Oracle Rock Star by Business Insider Oracle Entrepreneurship Challenge winner Oracle Cloud Applications Hackathon winner Co-PI, research grant for Oracle & Carnegie Mellon collaboration [2007 - 2011] Ph.D., Brown University, USA IBM Ph.D. Scholarship Paris Kanellakis Fellowship International SAT Solver Competition Winner Visiting researcher, Uppsala University, Sweden Intern, Adobe, USA [2003 - 2007] B.Sc., Sabanci University, Turkey Erasmus Exchange Scholarship Sakip Sabanci Merit Scholarship Intern, Astra Group on Combinatorial Optimization, Sweden Sign in | Report Abuse | Print Page | Powered By Google Sites diff --git a/src/data/compiled_bios/3399.txt b/src/data/compiled_bios/3399.txt new file mode 100644 index 0000000000..dde11bb485 --- /dev/null +++ b/src/data/compiled_bios/3399.txt @@ -0,0 +1 @@ + Pages at this location are redirected to /people/tkraska . diff --git a/src/data/compiled_bios/34.txt b/src/data/compiled_bios/34.txt new file mode 100644 index 0000000000..124a2665fc --- /dev/null +++ b/src/data/compiled_bios/34.txt @@ -0,0 +1 @@ + Jiawei Han Abel Bliss Professor, Department of Computer Science Univ. of Illinois at Urbana-Champaign Rm 2132, Siebel Center for Computer Science 201 N. Goodwin Avenue Urbana, IL 61801, USA E-mail: hanj [at]cs.uiuc.edu Ph.D. (1985), Computer Science, Univ. Wisconsin-Madison Knowledge Discovery and Data Mining, Database Systems Data Mining Research Group Data and Information Systems Research Laboratory UIUC Calendar: (18-19) ( Cites: Exchange ) ( CS ) Office: (217) 333-6903 Fax: (217) 265-6494 Web: hanj.cs.illinois.edu Schedule: Meetings and Appointments Current Research ( Selected Publications ) Information Network Academic Research Center : Network Science-Collaborative Technology Alliance NIH BD2K: KnowEng ( Knowledge Engine for Genomics) Center : Construction and Mining of Biological Networks Multi-Dimensional Structuring, Summarizing and Mining of Social Media Data (NSF/IIS) StructNet : Constructing and Mining Structure-Rich Information Networks for Scientific Research (NSF/IIS) Taming Big Networks via Embedding (NSF/IIS-BIGDATA) Teaching UIUC CS412: An Introduction to Data Warehousing and Data Mining 9:30-10:45am Tues/Thurs. 1404 Siebel Center (every Fall semester) UIUC CS512: Data Mining: Principles and Algorithms 9:30-10:45am Tues/Thurs. 0216 Siebel Center (every Spring semester) Data Mining Research Group Meeting, 9:30-10:30am Mondays @ 3403 Siebel Center (for DMG group member only) Books Jiawei Han, Micheline Kamber , and Jian Pei, Data Mining: Concepts and Techniques, 3 rd edition , Morgan Kaufmann , 2011. (1st ed., 2000) ( 2 nd ed., 2006 ) Xiang Ren and Jiawei Han, Mining Structures of Factual Knowledge from Text: An Effort-Light Approach , Morgan & Claypool Publishers, 2018 (Series: Synthesis Lectures on Data Mining and Knowledge Discovery) Jialu Liu, Jingbo Shang and Jiawei Han, Phrase Mining from Massive Text and Its Applications , Morgan & Claypool Publishers, 2017 (Series: Synthesis Lectures on Data Mining and Knowledge Discovery) Chi Wang and Jiawei Han, Mining Latent E n tity Structures , Morgan & Claypool Publishers, 2015 (Series: Synthesis Lectures on Data Mining and Knowledge Discovery) Yizhou Sun and Jiawei Han, Mining Heterogeneous Information Networ k s: Principles and Methodologies , Morgan & Claypool Publishers, 2012 (Series: Synthesis Lectures on Data Mining and Knowledge Discovery) Manish Gupta, Jing Gao, Charu Aggawal , and Jiawei Han, Outlier Detection for Temporal Data , Morgan & Claypool Publishers, 2014 (Series: Synthesis Lectures on Data Mining and Knowledge Discovery) Hillol Kargupta , Jiawei Han, Philip Yu, Rajeev Motwani, and Vipin Kumar (eds.), Next Generation of Data Mining (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series), Taylor & Francis, 2008. Harvey Miller and Jiawei Han (eds.), Geographical Data Mining and Knowledge Discovery, (2nd ed.), Taylor & Francis, 2009. Philip S. Yu, Jiawei Han, and Christos Faloutsos (eds), Link Mining: Models, Algorithms, and Applications , Springer, 2010. Ashok N. Srivastava and Jiawei Han , Machine Learning and Knowledge Discovery for Engineering Systems Health Management (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series), Taylor & Francis, 2011 DavidLo, Siau-ChengKhoo, JiaweiHan,and ChaoLiu (eds.), Mining Software Specifications: Methodologies and Applications (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series ), Taylor & Francis, 2011 Completed Research Projects OLAPing and Multi-Dimensional Search and Analysis of Text Data ( Event Cube: NASA ) Pattern Discovery: Classification, Clustering and Outlier Analysis Towards On-Line Analytical Mining of Heterogeneous Information Networks Endowing Biological Databases with Analytical Power: Indexing, Querying, and Mining of Complex Biological Structures Mining Dynamics of Data Streams in Multi-Dimensional Space Knowledge Discovery in Cyberphysical Systems MoveMine : Mining Knowledge from Massive Moving Object Data Conflicts to Harmony: Truth Discovery (NSF/IIS) IlliMine (Illinois Data Mining Algorithm Repository) Selected Publications (@Hans website) Publications (@DBLP) Google Scholar Citations Other Interested Links : ACM SIGKDD , ACM SIGMOD , NSF , CiteSeer , Google Back to Database and Information Systems Laboratory , Department of Computer Science , Univ. of Illinois at Urbana-Champaign diff --git a/src/data/compiled_bios/340.txt b/src/data/compiled_bios/340.txt new file mode 100644 index 0000000000..0b8d53b234 --- /dev/null +++ b/src/data/compiled_bios/340.txt @@ -0,0 +1 @@ +Name: Du, Ding-Zhu:: Position: Professor (CS & CE):: Degrees: Ph.D., Mathematics, University of California, Santa Barbara, 1985; M.S., Operations Research, Chinese Academy of Sciences, 1981; diff --git a/src/data/compiled_bios/3400.txt b/src/data/compiled_bios/3400.txt new file mode 100644 index 0000000000..021593a4bd --- /dev/null +++ b/src/data/compiled_bios/3400.txt @@ -0,0 +1 @@ + Pages at this location are redirected to /people/fprepara . diff --git a/src/data/compiled_bios/3401.txt b/src/data/compiled_bios/3401.txt new file mode 100644 index 0000000000..3fb991780c --- /dev/null +++ b/src/data/compiled_bios/3401.txt @@ -0,0 +1 @@ + Research Teaching Publications Software Projects AncesTree Binary Tree Partition CNT-ILP CNT-MD CoMEt Dendrix GASV & GASVPro Gremlin HotNet HotNet2 MAGI MoDL Multi-Dendrix MultiBreak-SV NAIBR NBC PASTRI PREGO RAIG SPRUCE Survival Analysis TADtree THetA/THetA2 WExT People News Raphael Lab We are a research group in the Computer Science Department at Princeton University . Our research is focused on Bioinformatics and Computational Biology. Current research interests include next-generation DNA sequencing, structural variation, genome rearrangements in cancer and evolution, and network analysis of somatic mutations in cancer. Earlier research included topics in comparative genomics, multiple sequence alignment, and motif finding. Learn more Contact Raphael Lab 35 Olden Street Computer Science Department Princeton University Princeton, NJ 08540 Email: braphael AT cs DOT princeton DOT edu Voice: 609-258-6314 Jobs There are currently openings in the group for outstanding postdoctoral fellows, staff programmers, graduate students or undergraduate students. We are recruiting undergraduate research assistants (URAs). Please see our URA Program Page for more information. View details Latest news May 1, 2017 Congratulations to Postdoctoral Researcher Mohammed El-Kebir who will start as a tenure-track Assistant Professor of Computer Science at University of Illinois, Urbana-Champaign in January, 2018! April 22, 2017 Welcome to new Postdoctoral Researcher Simone Zaccaria , who joined the group after receiving his Ph.D. from University of Milano-Bicocca. September 1, 2016 The Raphael group has moved! Ben Raphael is now a Professor in the Department of Computer Science at Princeton University . We welcome applications for new students and postdocs. More news Raphael Research Group 2014-2017 Princeton University Department of Computer Science diff --git a/src/data/compiled_bios/3402.txt b/src/data/compiled_bios/3402.txt new file mode 100644 index 0000000000..411756ab64 --- /dev/null +++ b/src/data/compiled_bios/3402.txt @@ -0,0 +1 @@ + Matteo Riondato Home Short Bio CV (Updated: Jan 16) Publications Teaching Service Software Misc Contact info E-mail: riondato@acm.org Office: Science Center C214 Twitter: @teorionda GitHub: rionda PGP: 54255501 I am an assistant professor of computer science at Amherst College . I also have an appointment as visiting faculty in Computer Science at Brown University . Previously, I spent some fantastic years as a research scientist in the Labs group at Two Sigma . My research focuses on algorithms for knowledge discovery , data mining , and machine learning . I develop theory and methods to extract the most information from large datasets, as fast as possible and in a statistically sound way. The problems I study include pattern extraction, graph mining, and time series analysis. My algorithms often use concepts from statistical learning theory and sampling. My Erds number is 3 ( Erds Suen Upfal Matteo), and I am a mathematical descendant of Eli Upfal , Eli Shamir (2 nd generation), Jacques Hadamard (5 th ), Simon Denis Poisson (9 th ), and Pierre-Simon Laplace (10 th ). News Teaching: in my first semester at Amherst College, I'm teaching Data Mining and Intro to CS 1 . Thrilled to be working closely with brilliant students again. KAIS: an extended version of ProSecCo: Progressive Sequence Mining with Convergence Guarantees was invited to the special issue of KAIS for the best papers of IEEE ICDM'18 . PCs and editorial board: glad to serve on the PC for ICML'19 , ACM KDD'19 , NetSci'19 , and IJCAI'19 , and on the guest editorial board of the Data Mining and Knowledge Discovery journal for ECML PKDD'19 . ACM TKDD: an extended version of MiSoSouP was invited to the special issue of ACM TKDD for the best papers of KDD'18 . SDM'19: I'm serving as co-chair of the Doctoral Forum for SIAM SDM'19 . Very excited to help with the organization, as I won the best student poster award at this event in 2014. News archive 2019 Matteo Riondato Licensed under a Creative Commons Attribution-ShareAlike 4.0 International License Last modified: Jan 24, 2019 diff --git a/src/data/compiled_bios/3403.txt b/src/data/compiled_bios/3403.txt new file mode 100644 index 0000000000..3a0ada48c3 --- /dev/null +++ b/src/data/compiled_bios/3403.txt @@ -0,0 +1 @@ + Tom's home that's not a home, a page without another side Find Tom at Brown Computer Science Disambiguation... Did you want to read about information theory and error checking? Did you want to see the Cassiopeia A supernova ? (An article about it.) ( Another ) Did you want Tom's (sporadically updated) blog ? Did you want advanced visualization at the Brown Center for Computation and Visualization ? Did you want to talk about pension accounting at the Haas Institute for a Fair and Inclusive Society ? (Featuring the famous piggy-bank visualization !) Did you want the class web site for RISD FAV 1539? Did you want an easy-to-use intro computer science curriculum for middle schoolers designed for teachers without a CS background? Did you want Checking the Banks (a book about banks and banking for people who want to fix it)? Did you want writing on science and mind ? Did you want Judy the Robot ? (If you built a robot smart enough to do the dishes, would it also be smart enough to find them boring?) Did you want a web-based revival of Terry Winograd's famous experiment in grounded semantics, SHRDLU ? Did you want to read about network transport of science data in a distributed heterogeneous environment ? Did you want The Rhode Island Policy Reporter ? Did you want Ten Things You Don't Know About Rhode Island (a book about economics, statistics, and my, um, little state)? Did you want The Pan-Twilight Circus ? diff --git a/src/data/compiled_bios/3404.txt b/src/data/compiled_bios/3404.txt new file mode 100644 index 0000000000..72625a3f27 --- /dev/null +++ b/src/data/compiled_bios/3404.txt @@ -0,0 +1 @@ + Erik Sudderth has moved to the University of California, Irvine: http://www.ics.uci.edu/~sudderth/ You should be redirected momentarily... diff --git a/src/data/compiled_bios/3405.txt b/src/data/compiled_bios/3405.txt new file mode 100644 index 0000000000..20319eabfa --- /dev/null +++ b/src/data/compiled_bios/3405.txt @@ -0,0 +1 @@ + Top Information Contact Social Twitter LinkedIn Hello, I am Tarik Moataz Postdoctoral Researcher at Brown University Information Learn more about me Overview Publications Patents Talks Services About me bio I am a Postdoctoral Research Associate in Computer Science at Brown University working with Seny Kamara . I received a French-American joint Ph.D. degree from IMT Atlantique and Colorado State University . My main research area is applied cryptography and, especially, its intersection with algorithms and data structures. My research focuses on designing provably-secure protocols that are efficient and ready for real-world deployment. Inspired by real world problems, I enjoy working in the area of encrypted search and aim to provide a better understanding of the balance between security and efficiency. One of my best examples is Clusion ! An open source library implementing advanced encrypted search schemes. I am the associate director of the Encrypted Systems Lab and am a member of the CAPS research group. Here are my DBLP and Google Scholar links. Publications Recent SQL on Structurally-Encrypted Databases Seny Kamara, Tarik Moataz to appear at ASIACRYPT 2018 Breach-Resistant Structured Encryption Ghous Amjad, Seny Kamara, and Tarik Moataz to appear at PETS 2019 Structured Encryption and Leakage Suppression Seny Kamara, Tarik Moataz, and Olga Ohrimenko to appear at CRYPTO 2018 Boolean Searchable Symmetric Encryption with Worst-Case Sub-Linear Complexity Seny Kamara, Tarik Moataz EUROCRYPT 2017 Proceeding version OblivP2P: An Oblivious Peer-to-Peer Content Sharing System Yaoqi Jia, Tarik Moataz, Shruti Tople, Prateek Saxena USENIX 2016 Proceeding version Program committee member: International Conference on Cryptology and Network Security (CANS'17) International Conference on Applied Cryptography and Network Security (ACNS'17) Student PC for the 38th IEEE Symposium on Security and Privacy (S&P'17) International Conference on the Theory and Applications of Security and Cryptography in Africa (Africacrypt'17) International Conference on Information Security and Cryptology (ICISC'16) Provable Security (ProvSec'15) Generalized Boolean Searchable Encryption Tarik Moataz, Abdullatif Shikfa US patent, European Patent, Bell Labs, Alcatel-Lucent, France Link Semantic Search Over Encrypted Data Abdullatif Shikfa, Tarik Moataz European Patent, Bell Labs, Alcatel-Lucent, France Link Structured Encryption and Leakage Suppression CRYPTO, Santa Barbara, CA, August 2018 SQL on Structurally-Encrypted Databases ESSA Workshop, Bertinoro, Italy, July 2018 Boston University, Boston, MA, December 2017 UCon, Mansfield, CT, October 2017 Pixek: an End-to-End Encrypted Photo App Ensias, Rabat, Morocco , July 2018 Encrypted Search Ensias, Rabat, Morocco, November 2017 Boolean Searchable Symmetric Encryption with Worst-Case Sub-Linear Complexity Eurocrypt, Paris, France, May 2017 Telecom Sud Paris, Evry, France, May 2017 Constant Communication ORAM with small Blocksize MPC workshop, Aarhus, Denmark, June 2016 ACM CCS, Denver, CO, USA, October 2015 Microsoft Research, Redmond WA, USA, July 2015 ESSA, Bertinoro, Italy, June 2015 Slides Oblivious Substring search over encrypted data Microsoft Research, Redmond WA, USA, August 2015 Slides Recursive Trees for Practical ORAM PETS, Philadelphia, USA, July 2015 Microsoft Research, Redmond WA, USA, November 2014 Slides Resizable Tree-Based Oblivious RAM Financial Crypto, San Juan, Puerto Rico,January 2015 DBSec Research Group, Fort Collins CO, USA, November 2014 Microsoft Research, Redmond WA, USA, November 2014 Slides ELITE: zero links identity management system DBSec, Vienna, Austria, July 2014 DBSec Research Group, Fort Collins CO, USA, May 2014 Slides Privacy-preserving multiple keyword search on outsourced data in the clouds DBSec, Vienna, Austria, July 2014 DBSec Research Group, Fort Collins CO, USA, May 2014 Slides Semantic search over encrypted data ICT, Casablanca, Morocco, May 2013 Journe LUSSI, Brest, France, June 2014 Slides Boolean symmetric searchable encryption (Poster) Financial Cryptography, Okinawa, Japan, April 2013 Bell Labs, Alcatel-Lucent, Paris, France, August 2012 Slides Structured Encryption and Leakage Suppression Seny Kamara, Tarik Moataz, and Olga Ohrimenko to appear at CRYPTO 2018 Breach-Resistant Structured Encryption Ghous Amjad, Seny Kamara, and Tarik Moataz Link to PDF Boolean Searchable Symmetric Encryption with Worst-Case Sub-Linear Complexity Seny Kamara, Tarik Moataz EUROCRYPT 2017 Proceeding version SQL on Structurally-Encrypted Databases Seny Kamara, Tarik Moataz Link to PDF Substring search over encrypted data Tarik Moataz, Indrajit Ray, Indrakshi Ray, Abdullatif Shikfa, Frdric Cuppens, and Nora Cuppens-Boulahia to appear at Journal of Computer Security JCS 2017 OblivP2P: An Oblivious Peer-to-Peer Content Sharing System Yaoqi Jia, Tarik Moataz, Shruti Tople, Prateek Saxena USENIX 2016 Proceeding version Oblivious Substring Search over Encrypted Data Tarik Moataz, Erik-Oliver Blass Link to PDF Constant Communication ORAM with small Blocksize Tarik Moataz, Travis Mayberry, and Erik-Oliver Blass ACM CCS 2015 Proceeding version Recursive Trees for Practical ORAM Tarik Moataz, Erik-Oliver Blass, and Guevara Noubir PETS 2015 Proceeding version Privacy Preserving Record Matching Using Automated Semi-trusted Broker Ibrahim Lazrig, Tarik Moataz, Indrajit Ray, Indrakshi Ray, Toan Ong, Michael G. Kahn, Frdric Cuppens, and Nora Cuppens-Boulahia DBSec 2015 Proceeding version Resizable Tree-Based Oblivious RAM Tarik Moataz, Travis Mayberry, Erik-Oliver Blass, and Agnes Hui Chan FC 2015 Proceeding version Privacy-Preserving Multiple Keyword Search on Outsourced Data in the Clouds Tarik Moataz, Nora Cuppens-Boulahia, Frdric Cuppens, Indrajit Ray, and Indrakshi Ray DBSec 2014 Proceeding version ELITE: zEro Links Identity managemenT systEm Tarik Moataz, Nora Cuppens-Boulahia, Frdric Cuppens, Indrajit Ray, and Indrakshi Ray DBSec 2014 Proceeding version Semantic search over encrypted data Tarik Moataz, Abdullatif Shikfa, Nora Cuppens-Boulahia, and Frdric Cuppens IEEE ICT 2013 Proceeding version Boolean symmetric searchable encryption Tarik Moataz and Abdullatif Shikfa ACM ASIACCS 2013 Proceeding version Handling stateful firewall anomalies Frdric Cuppens, Nora Cuppens-Boulahia, Joaquin Garcia Alfaro, Tarik Moataz, and Xavier Rimasson IFIP SEC 2012 Proceeding version Contact Get in touch Office CIT-455, 115 Waterman Street, Computer Science Department, Brown University tarik _ moataz at brown.edu diff --git a/src/data/compiled_bios/3406.txt b/src/data/compiled_bios/3406.txt new file mode 100644 index 0000000000..d3abe51a65 --- /dev/null +++ b/src/data/compiled_bios/3406.txt @@ -0,0 +1 @@ + Huseyin Kocak Professor h.kocak@miami.edu Phone: (305) 284-3138 Locator Code: 4250 Address: Log in to view address : diff --git a/src/data/compiled_bios/3407.txt b/src/data/compiled_bios/3407.txt new file mode 100644 index 0000000000..484b50eae4 --- /dev/null +++ b/src/data/compiled_bios/3407.txt @@ -0,0 +1 @@ + Liang Liang Asst. Professor liang.liang@miami.edu Phone: (305) 284-8381 Locator Code: 4245 Address: Log in to view address : diff --git a/src/data/compiled_bios/3408.txt b/src/data/compiled_bios/3408.txt new file mode 100644 index 0000000000..4b157b3895 --- /dev/null +++ b/src/data/compiled_bios/3408.txt @@ -0,0 +1 @@ + Victor J Milenkovic Professor Director of Undergraduate Studies vjm@miami.edu Phone: (305) 284-4194 Locator Code: 4245 Address: Log in to view address : diff --git a/src/data/compiled_bios/3409.txt b/src/data/compiled_bios/3409.txt new file mode 100644 index 0000000000..27a3dec67d --- /dev/null +++ b/src/data/compiled_bios/3409.txt @@ -0,0 +1 @@ + Mitsunori Ogihara Professor mogihara@miami.edu Phone: (305) 284-2268 x2308 Locator Code: 4245 Address: Log in to view address : diff --git a/src/data/compiled_bios/341.txt b/src/data/compiled_bios/341.txt new file mode 100644 index 0000000000..9106c6b1e8 --- /dev/null +++ b/src/data/compiled_bios/341.txt @@ -0,0 +1 @@ +Name: Farage, Tim:: Position: Senior Lecturer:: Degrees: M.S., Computer Science, The University of Texas at Dallas, Texas; B.A., Mathematics, Case Western Reserve University in Cleveland, Ohio; Research Interests: Online education; Major Honors and Awards: ; Presidents Outstanding Teacher Award, The University of Texas at Dallas; ; Computer Science Excellence in Teaching Award, The University of Texas at Dallas; diff --git a/src/data/compiled_bios/3410.txt b/src/data/compiled_bios/3410.txt new file mode 100644 index 0000000000..6d4f3952ee --- /dev/null +++ b/src/data/compiled_bios/3410.txt @@ -0,0 +1 @@ + Burton Rosenberg Assoc. Professor Director of Technology Member CCS burt@cs.miami.edu Phone: (305) 284-2141 Locator Code: 4250 Address: Log in to view address : diff --git a/src/data/compiled_bios/3411.txt b/src/data/compiled_bios/3411.txt new file mode 100644 index 0000000000..d8ab4e5f09 --- /dev/null +++ b/src/data/compiled_bios/3411.txt @@ -0,0 +1 @@ + Dilip Sarkar Assoc. Professor sarkar@miami.edu Phone: (305) 284-2256 Locator Code: 4245 Address: Log in to view address : diff --git a/src/data/compiled_bios/3412.txt b/src/data/compiled_bios/3412.txt new file mode 100644 index 0000000000..66787ece31 --- /dev/null +++ b/src/data/compiled_bios/3412.txt @@ -0,0 +1 @@ + Odelia Schwartz Assoc. Professor Secondary Faculty in Biology oxs113@miami.edu Phone: (305) 284-2268 Locator Code: 4245 Address: Log in to view address : diff --git a/src/data/compiled_bios/3413.txt b/src/data/compiled_bios/3413.txt new file mode 100644 index 0000000000..d9469cab7a --- /dev/null +++ b/src/data/compiled_bios/3413.txt @@ -0,0 +1 @@ + Geoff Sutcliffe Professor geoff@cs.miami.edu Phone: (305) 284-2158 Locator Code: 4245 Address: Log in to view address : diff --git a/src/data/compiled_bios/3414.txt b/src/data/compiled_bios/3414.txt new file mode 100644 index 0000000000..b01eb4713a --- /dev/null +++ b/src/data/compiled_bios/3414.txt @@ -0,0 +1 @@ + Ubbo Visser Assoc. Professor Director of Graduate Studies visser@cs.miami.edu Phone: (305) 284-2254 Locator Code: 4245 Address: Log in to view address : diff --git a/src/data/compiled_bios/3415.txt b/src/data/compiled_bios/3415.txt new file mode 100644 index 0000000000..99240fbeb0 --- /dev/null +++ b/src/data/compiled_bios/3415.txt @@ -0,0 +1 @@ + Zheng Wang Asst. Professor zheng.wang@miami.edu Locator Code: 4245 Address: Log in to view address : diff --git a/src/data/compiled_bios/3416.txt b/src/data/compiled_bios/3416.txt new file mode 100644 index 0000000000..9b87eb1f6c --- /dev/null +++ b/src/data/compiled_bios/3416.txt @@ -0,0 +1 @@ + Stefan Wuchty Assoc. Professor Secondary Faculty in Biology s.wuchty@miami.edu Phone: (305) 284-4189 Locator Code: 4245 Address: Log in to view address : diff --git a/src/data/compiled_bios/3417.txt b/src/data/compiled_bios/3417.txt new file mode 100644 index 0000000000..f1c70f2ca6 --- /dev/null +++ b/src/data/compiled_bios/3417.txt @@ -0,0 +1 @@ + Mohamed Iskandarani Professor m.iskandarani@miami.edu Phone: (305) 421-4045 Locator Code: VK Address: Log in to view address : diff --git a/src/data/compiled_bios/3418.txt b/src/data/compiled_bios/3418.txt new file mode 100644 index 0000000000..8d772bc31f --- /dev/null +++ b/src/data/compiled_bios/3418.txt @@ -0,0 +1 @@ + Victor C. Pestien Assoc. Professor pestien@miami.edu Phone: (305) 284-2348 Locator Code: 4250 Address: Log in to view address : diff --git a/src/data/compiled_bios/3419.txt b/src/data/compiled_bios/3419.txt new file mode 100644 index 0000000000..fc543ab4a4 --- /dev/null +++ b/src/data/compiled_bios/3419.txt @@ -0,0 +1 @@ + Subramanian Ramakrishnan Assoc. Professor Director of Undergraduate Studies s.ramakrishnan@miami.edu Phone: (305) 284-2156 Locator Code: 4250 Address: Log in to view address : diff --git a/src/data/compiled_bios/342.txt b/src/data/compiled_bios/342.txt new file mode 100644 index 0000000000..7fe7565607 --- /dev/null +++ b/src/data/compiled_bios/342.txt @@ -0,0 +1 @@ +Name: Farago, Andras:: Position: Professor:: Degrees: Ph.D., Technical University of Budapest, Hungary; Research Interests: Communication networks and their protocols; Network design/analysis methods; Algorithms; Complexity; diff --git a/src/data/compiled_bios/3420.txt b/src/data/compiled_bios/3420.txt new file mode 100644 index 0000000000..f658dffc51 --- /dev/null +++ b/src/data/compiled_bios/3420.txt @@ -0,0 +1 @@ + Nelson Charles Dellis Lecturer n.dellis@umiami.edu Phone: (305) 284-1707 Locator Code: 4245 Address: Log in to view address : diff --git a/src/data/compiled_bios/3421.txt b/src/data/compiled_bios/3421.txt new file mode 100644 index 0000000000..331d48ffcd --- /dev/null +++ b/src/data/compiled_bios/3421.txt @@ -0,0 +1 @@ + Faculty | Computer Science Vicki Allan Computer Science Associate Professor Contact Information Office Location: Old Main 429 Icon Phone: 435-797-2022 Icon Email: Vicki.Allan@usu.edu Website Educational Background: Colorado State University, Ph.D. (Computer Science) A Critical Analysis of the Global Optimization Problem for Horizontal Microcode, Advisor: Robert Mueller Colorado State University, M.S. (Computer Science) Utah State University, M.M. (Mathematics) Utah State University, B.S. (Mathematics-Computer Science-Statistics), Summa Cum Laude (Distinguished graduate, graduation program participant) Emphasis MultiAgent Systems, Outreach : diff --git a/src/data/compiled_bios/3422.txt b/src/data/compiled_bios/3422.txt new file mode 100644 index 0000000000..cdc8a06f32 --- /dev/null +++ b/src/data/compiled_bios/3422.txt @@ -0,0 +1 @@ + Faculty | Computer Science Heng-Da Cheng Computer Science Professor Contact Information Office Location: Old Main 401B Icon Phone: 435-797-2054 Icon Email: hengda.cheng@usu.edu Website Educational Background: PhD , Computer Engineering, Parallel Processing, VLSI Architecture, Pattern Recognition and Image Processing, and Artificial Intelligence, Purdue University, 1985 MS , Computer Architecture and Electrical Engineering, Wayne State University, 1981 Other , Computer Architecture & Parallel Processing, Computing Technology Institute, Academia Sinica, 1980 BS , Computer Architecture, Harbin Polytechnical Institute, 1967 Emphasis Computer Vision, Pattern Recognition, Image Processing, Artificial Intelligence, Uncertainty and Logics : diff --git a/src/data/compiled_bios/3423.txt b/src/data/compiled_bios/3423.txt new file mode 100644 index 0000000000..8cc13a03a2 --- /dev/null +++ b/src/data/compiled_bios/3423.txt @@ -0,0 +1 @@ + Faculty | Computer Science Stephen Clyde Computer Science Associate Professor Contact Information Office Location: Old Main 418 Icon Phone: 435-797-2307 Icon Email: Stephen.Clyde@usu.edu Website Educational Background: PhD , Computer Science/Software Engineering, Brigham Young University, 1993 BS , Computer Science, Brigham Young University, 1985 Emphasis Software Engineering, Distributed Systems, Data Integration : diff --git a/src/data/compiled_bios/3424.txt b/src/data/compiled_bios/3424.txt new file mode 100644 index 0000000000..6e3493c7a5 --- /dev/null +++ b/src/data/compiled_bios/3424.txt @@ -0,0 +1 @@ + Faculty | Computer Science Curtis Dyreson Computer Science Associate Professor and Graduate Adviser Contact Information Office Location: Old Main 402A Icon Phone: 435-797-0742 Icon Email: Curtis.Dyreson@usu.edu Website Educational Background: PhD, Computer Science, (Philosophy), University of Arizona, 1994 Dissertation MS, Computer Science, University of Arizona, 1989 BA, New College, 1985 Emphasis Databases, Software Systems : diff --git a/src/data/compiled_bios/3425.txt b/src/data/compiled_bios/3425.txt new file mode 100644 index 0000000000..c71708d6b8 --- /dev/null +++ b/src/data/compiled_bios/3425.txt @@ -0,0 +1 @@ + Faculty | Computer Science John Edwards Computer Science Assistant Professor Contact Information Office Location: Old Main 401D Icon Phone: 435-797-0246 Icon Email: john.edwards@usu.edu Website Educational Background: Ph.D. Computer Science, The University of Texas, 2013 M.S. Computer Science, Brigham Young University, 2004 B.S. Computer Science, Utah State University, 1998 Emphasis Geometric Modeling, Simulation, Scientific Visualization : diff --git a/src/data/compiled_bios/3426.txt b/src/data/compiled_bios/3426.txt new file mode 100644 index 0000000000..3d3abb9a72 --- /dev/null +++ b/src/data/compiled_bios/3426.txt @@ -0,0 +1 @@ + Faculty | Computer Science Erik Falor Computer Science Professional Practice Assistant Professor Prof Practice Asst Professor Contact Information Go to Office Location: Old Main 421 Dial Phone: 435-797-4118 Send Email: Erik.Falor@usu.edu Biography I am dedicated to elevating students through personalized attention and practical, hands-on activities. I bring more than 13 years of professional experience into my classroom. Teaching Interests Open source software and operating systems, engineering reliable software, the history of computer science and strategic problem solving techniques. Research Interests Programming Languages, Operating Systems, Cybersecurity Teaching Scheduled Teaching CS 2610 - Developing Dynamic, Database-driven, Web Applications, Fall 2018 CS 1440 - Methods in Computer Science, Fall 2018 CS 3100 - Operating Systems and Concurrency, Fall 2018 CS 2610 - Developing Dynamic, Database-driven, Web Applications, Spring 2018 CS 1440 - Methods in Computer Science, Spring 2018 CS 3100 - Operating Systems and Concurrency, Spring 2018 CS 2610 - Developing Dynamic, Database-driven, Web Applications, Fall 2017 CS 1400 - Introduction to Computer Science--CS 1, Fall 2017 CS 1440 - Methods in Computer Science, Fall 2017 Full Teaching History Graduate Students Mentored : Scheduled Teaching CS 2610 - Developing Dynamic, Database-driven, Web Applications, Fall 2018 CS 1440 - Methods in Computer Science, Fall 2018 CS 3100 - Operating Systems and Concurrency, Fall 2018 CS 2610 - Developing Dynamic, Database-driven, Web Applications, Spring 2018 CS 1440 - Methods in Computer Science, Spring 2018 CS 3100 - Operating Systems and Concurrency, Spring 2018 CS 2610 - Developing Dynamic, Database-driven, Web Applications, Fall 2017 CS 1400 - Introduction to Computer Science--CS 1, Fall 2017 CS 1440 - Methods in Computer Science, Fall 2017 Full Teaching History . Graduate Students Mentored. diff --git a/src/data/compiled_bios/3427.txt b/src/data/compiled_bios/3427.txt new file mode 100644 index 0000000000..39a0dee4fb --- /dev/null +++ b/src/data/compiled_bios/3427.txt @@ -0,0 +1 @@ + Faculty | Computer Science Nicholas Flann Computer Science Associate Professor Associate Professor Contact Information Office Location: Old Main 402C Dial Phone: 435-797-2432 Send Email: Nick.Flann@usu.edu Educational Background PhD , Computer Science, Oregon State University, 1992 Dissertation Correct Abstraction in Counter-planning: A Knowledge Compilation Approach MS , Computer Science, Oregon State University, 1986 Thesis Learning Functional Descriptions From Examples BS , Electrical and Electronic Engineering, Coventry Polytechnic, 1982 Speech Recognition and Analysis Biography Dr. Flann completed a Bachelors of Science in Electrical and Electronic Engineering in 1982 at Coventry University, England and subsequently worked as an aerospace engineer at British Aerospace. He received a Masters in 1987 and PhD in 1991, both in Computer Science from Oregon State University. He is currently an Associate Professor in Computer Science at Utah State University and an Affiliate Faculty at the Institute for Systems Biology in Seattle. Teaching Interests Advanced and Introductory Algorithms, Computational Biology, Bioinformatics, Introductory and Advanced Programming Research Interests Computational systems biology, complexity of living systems, multiscale modeling of biological systems, executable biology, criticality in evolution. Awards Publications Abstracts 8 Books & Book Chapters 2 Fact Sheets Curriculum Journal Article 20 Literary Journal MultiMedia 2 Technical Report Translation or Transcriptions Other 1 Teaching Graduate Students Mentored Awards Sustainability Faculty of the Year, 2016 Utah State University Teacher of the Year, 2015 Computer Science Department, USU Researcher of the year, 2014 Computer Science Department, USU Nature Outlook focus article, 2012 Nature Publications - Abstracts Kwon, S., Flann, N.S, Baker, Q.B, Ghaffarizadeh, A., (2014). A 3D agentbased model of the transition from ductal carcinoma in situ to invasion . Institute of Biological Engineering 2014 Annual Conference Dosi, H., Singh, S.K, Flann, N.S, Hinton, H.S, Oswal, V., (2014). Pathway Pioneer: a tool for metabolic network visualization and flux analysis . Institute of Biological Engineering 2014 Annual Conference Dosi, H., Singh, S.K, Flann, N.S, Hinton, H.S, (2014). Pathway Pioneer: A Web-Based Metabolic Network Layout Tool for Comprehensive Visualization of Complex Networks . Institute of Biological Engineering 2014 Annual Conference Ghaffarizadeh, A., Podgorski, G.J, Flann, N.S, (2013). Epigenetic Landscape: a New Look . Society for Mathematical Biology Annual Meeting Bani Baker, Q., Ghaffarizadeh, A., Kwon, S., Podgorski, G.J, Flann, N.S, (2013). An Agent-based Model of Ductal Carcinoma in situ (DCIS) and its Validation in a Tissue-engineered Model of DCIS . Institute of Biological Engineering Annual Conference Flann, N.S, Valliente, J., Wallace, M., Brown, R., Hinton, H.S, (2013). Pathway Pioneer: A network visualization and flux analysis tool . Institute of Biological Engineering Annual Conference Flann, N.S, Ghaffarizadeh, A., Podgorski, G.J, (2012). BioCellion: A high-performance computing framework for multiscale modeling and simulation of multicellular biological systems . The Society for Mathematical Biology Annual Meeting and Conference Flann, N.S, Mahoney, A., Smith, B., Podgorski, G.J, (2008). Evaluating Cancer Interventions by Simulating Tumor-Induced Angiogenesis, Blood Flow and Oxygen Delivery . European Conference on Mathematical and Theoretical Biology Publications - Books & Book Chapters Book Chapters Flann, N.S, Mohamadloun, H., Podgorski, G.J, Djordjevic, M., Severinov, K., Djordjevic, M., (2012). Criticality of Spatiotemporal Dynamics in Contact Mediated Pattern Formation : Series: Lecture Notes in Computer Science, Vol. 7223 Subseries: Theoretical Computer Science and General Issues . Springer Sasaki, Y., Flann, N.S, Box, P.W, Chen, S.H, (2005). The Multi-agent games by Reinforcement Learning Applied to on-line Optimization of Traffic Policy : Computational Economics: A Perspective from Computational Intelligence . Morgan Kaufmann Publishers * Has not been peer reviewed Publications - Fact Sheets * Has not been peer reviewed Publications - Curriculum * Has not been peer reviewed Publications - Journal Articles Academic Journal Flann, N.S, Intosalmi, J., Scott, A.C, Hays, M., Yli-Harja, O., Lahdesmaki, H., Dudley, A.M, Skupin, A., (2018). Data-driven multiscale modeling reveals the role of metabolic coupling for the spatio-temporal growth dynamics of yeast colonies . bioRxiv , 344226 . Anguilar, B., Ghaffarizadeh, A., Johnson, C.D, Podgorski, G.J, Shmulevich, I., Flann, N.S, (2018). Cell death as a trigger for morphogenesis . PloS one , 13 :3 , e0191089. Davis, D., Doloman, A., Podgorski, G.J, Vargis, E., Flann, N.S, Exploiting Self-Organization in Bioengineered Systems . Biotechnology and Bioengineering / Wiley , 5 :27 Baker, Q.B, Podgorski, G.J, Vargis, E., Flann, N.S, The Effect of Retinal Pigment Epithelial Cell Patch Size on VEGF Production: A Computational Study . Journal of Biological Engineering Ghaffarizadeh, A., Podgorski, G.J, Flann, N.S, Applying Attractor Dynamics to Infer Gene Regulatory Networks for Cellular Differentiation . BioSystems Mohamadlou, H., Podgorski, G.J, Flann, N.S, Fogel, G., (2016). Modular Genetic Regulatory Networks Increase Organization During Pattern Formation . BioSystems, Elsevier , doi: 10.1016/j.biosystems.2016.04.004 Eng, D., Vogel, W.K, Flann, N.S, Gross, M.K, Kioussi, C., (2014). Genome-Wide Mapping of Chromatin State of Mouse Forelimbs . Open Access Bioinformatics Kang, S., Kahan, S., Dermott, J., Flann, N.S, Shmulevich, I., (2014). Biocellion: accelerating computer simulation of multicellular biological system models . Bioinformatics , 30 :21 , 3101-3108. Nahar, D., Flann, N.S, Hyduke, D., Multi-scale Modeling of Microbial Defection in the Presence of Antibiotics . Journal of Theoretical Biology Ghaffarizadeh, A., Flann, N.S, Podgorski, G.J, (2014). Multistable Switches and their Role in Cellular Differentiation Networks . BMC Bioinformatics , 15 :S7 Ghaffarizadeh, A., Flann, N.S, Podgorski, G.J, (2014). Modeling and Visualizing Cell Type Switching . Computational and Mathematical Methods in Medicine , 2014 :293980 Mohamadlou, H., Shope, J.C, Flann, N.S, (2014). Maximizing Kolmogorov Complexity for accurate and robust bright field cell segmentation . BMC Bioinformatics , 15 :32 Xu, B., Recker, M.M, Qi, X., Flann, N.S, Ye, L., (2013). Clustering Educational Digital Library Usage Data: A Comparison of Latent Class Analysis and K-Means Algorithms . Journal of Educational Data Mining , 5 :2 , 38-68. Ghaffarizadeh, A., Eftekari, M., Esmailzadeh, A.K, Flann, N.S, (2013). Quantitative Trait Loci Mapping Problem: An Extinction-Based Multi-Objective Evolutionary Algorithm Approach . Algorithms , 6 :3 , 546-564. doi: doi:10.3390/a6030546 Flann, N.S, Mohamadloun, H., Podgorski, G.J, (2013). Kolmogorov Complexity of Epithelial Pattern Formation: the role of Regulatory Network Configuration. . Biosystems , 112 :2 , 131-138. doi: 10.1016/j.biosystems Mahoney, A.W, Podgorski, G.J, Flann, N.S, (2012). A Multi-Objective Optimization Based-Approach for Discovering Novel Cancer Therapies. IEEE/ACM Transactions on Computational Biology and Bioinformatics . IEEE/ACM Transactions on Computational Biology and Bioinformatics , 9 :1 , 169-184. doi: 10.1109/TCBB.2010.39 Mahoney, A.W, Smith, B.G, Flann, N.S, Podgorski, G.J, (2009). Discovering novel cancer therapies: A computational modeling and search approach . Comp. Intelligence Bioinform. Comp. Biol Podgorski, G.J, Bansal, M., Flann, N.S, (2007). Regular Mosaic Pattern Formation: A Study of the Interplay between Lateral Inhibition, Apoptosis, and Differential Adhesion . Journal of Theoretical Biology and Medical Modelling , 4 , 43. Flann, N.S, Moore, K.L, Ma, L., (2002). A Small Mobile Robot for Security and Inspection Operations . Control Engineering Practice , 10 , 1265-1270. Chen, , Watson, D.W, Flann, N.S, (1998). Parallel genetic simulated annealing: a massivly parallel SIMD algorithm . IEEE Trans. Parallel and Distributed Systems , 9 :2 * Has not been peer reviewed Publications - Literary Journal * Has not been peer reviewed Publications - MultiMedia Software Flann, N.S, (2014). Biocellion: Simulating cell systems at faster than the speed of life . Flann, N.S, (2013). Pathway Pioneer: Metabolic Network Analysis and Visualization Tool . * Has not been peer reviewed Publications - Technical Reports * Has not been peer reviewed Publications - Translations & Transcripts Publications - Other Other Flann, N.S, (2003). Path planner and method for planning a contour path of a vehicle . * Has not been peer reviewed Scheduled Teaching CS 5050 - Advanced Algorithms, Fall 2018 CS 5890 - Topics in Computer Science (Topic), Fall 2018 CS 5050 - Advanced Algorithms, Spring 2017 CS 4250 - Cooperative Work Experience, Spring 2017 CS 6250 - Cooperative Work Experience, Graduate, Spring 2017 CS 5890, 6890 - Topics in Computer Science (Topic), Spring 2017 CS 2250 - Cooperative Work Experience, Fall 2016 CS 4250 - Cooperative Work Experience, Fall 2016 CS 6250 - Cooperative Work Experience, Graduate, Fall 2016 CS 5600, 6600 - Intelligent Systems, Fall 2016 CS 6890 - Topics in Computer Science (Topic), Fall 2016 CS 5660, 6670 - Bioinformatics I, Summer 2016 CS 4250 - Cooperative Work Experience, Summer 2016 CS 6250 - Cooperative Work Experience, Graduate, Summer 2016 CS 5050 - Advanced Algorithms, Spring 2016 CS 6670 - Advanced Bioinformatics, Spring 2016 CS 4250 - Cooperative Work Experience, Spring 2016 CS 6250 - Cooperative Work Experience, Graduate, Spring 2016 CS 4250 - Cooperative Work Experience, Fall 2015 CS 6250 - Cooperative Work Experience, Graduate, Fall 2015 CS 5600, 6600 - Intelligent Systems, Fall 2015 2 CS 5600, 6600 - Intelligent Systems, Fall 2015 CS 5050 - Advanced Algorithms, Summer 2015 CS 6250 - Cooperative Work Experience, Graduate, Summer 2015 CS 6670 - Advanced Bioinformatics, Spring 2015 CS 4250 - Cooperative Work Experience, Spring 2015 CS 6250 - Cooperative Work Experience, Graduate, Spring 2015 CS 4250 - Cooperative Work Experience, Fall 2014 CS 6250 - Cooperative Work Experience, Graduate, Fall 2014 CS 5600,6600 - Intelligent Systems, Fall 2014 CS 4250 - Cooperative Work Experience, Summer 2014 CS 6250 - Cooperative Work Experience, Graduate, Summer 2014 CS 5050 - Advanced Algorithms, Spring 2014 CS 6670 - Advanced Bioinformatics, Spring 2014 CS 4250 - Cooperative Work Experience, Spring 2014 CS 6250 - Cooperative Work Experience, Graduate, Spring 2014 CS 2250 - Cooperative Work Experience, Fall 2013 CS 4250 - Cooperative Work Experience, Fall 2013 CS 6250 - Cooperative Work Experience, Graduate, Fall 2013 CS 5600,6600 - Intelligent Systems, Fall 2013 CS 4250 - Cooperative Work Experience, Summer 2013 CS 6250 - Cooperative Work Experience, Graduate, Summer 2013 CS 5670 - Bioinformatics II, Spring 2013 CS 4250 - Cooperative Work Experience, Spring 2013 CS 6250 - Cooperative Work Experience, Graduate, Spring 2013 CS 5660 - Bioinformatics I, Fall 2012 CS 4250 - Cooperative Work Experience, Fall 2012 CS 6250 - Cooperative Work Experience, Graduate, Fall 2012 CS 7960 - Topics in Bioinformatics (Topic), Fall 2012 CS 5670 - Bioinformatics II, Spring 2012 CS 2250 - Cooperative Work Experience, Spring 2012 CS 4250 - Cooperative Work Experience, Spring 2012 CS 6250 - Cooperative Work Experience, Graduate, Spring 2012 CS 5050 - Advanced Algorithms, Fall 2011 CS 2420 - Algorithms and Data Structures--CS 3, Fall 2011 CS 5670 - BIOINFORMATICS II, Spring 2011 CS 5050 - Advanced Algorithms, Fall 2010 6 CS 5050 - Advanced Algorithms, Fall 2010 CS 5050 - Advanced Algorithms, Fall 2010 CS 5050 - Advanced Algorithms, Fall 2010 CS 5050 - Advanced Algorithms, Fall 2010 CS 5050 - Advanced Algorithms, Fall 2010 CS 1410 - Introduction to Computer Science--CS 2, Fall 2010 CS 1410 - Introduction to Computer Science--CS 2, Fall 2010 CS 1410 - Introduction to Computer Science--CS 2, Fall 2010 Full Teaching History Graduate Students Mentored Adam Lemmon, Computer Science, January 2014 Andrew Ingebretsen, Computer Science, January 2014 Gopal Menon, Computer Science, January 2014 Sahith Kallakunta, Computer Science, January 2014 Shantanu Saxena, Computer Science, January 2014 Harsh Dosi, Computer Science, August 2013 Kush Manjekar, Computer Science, August 2013 Ray Butler, Computer Science, August 2013 Sravani Mamidi, Computer Science, August 2013 Darshan Nahar, Computer Science, January 2013 Sumit Kumar Singh, Computer Science, January 2013 Vipul Oswal, Computer Science, January 2013 Alex Wells, Computer Science, August 2012 Brandon Chambers, Computer Science, August 2012 Gregory Pierce, Computer Science, August 2012 Jinwook Chung, Computer Science, January 2012 Michael Ulmer, Computer Science, January 2012 Colby Salmon, Computer Science, August 2011 Sandeep Nannuri, Computer Science, August 2011 Shawn Badger, Computer Science, June 2011 Wade Curtis Hadlock, Computer Science, August 2008 Brent Dutson, Computer Science, August 2007 Qanita Bani-Baker, Computer Science, August 2011 - July 2015 Hamid Mohamadlou, Computer Science, August 2010 - May 2015 Ahmadreza Ghaffarizadeh, Computer Science, August 2010 - August 2014 Thimma Reddy Kalva, Computer Science, August 2012 2013 : Awards Sustainability Faculty of the Year, 2016 Utah State University Teacher of the Year, 2015 Computer Science Department, USU Researcher of the year, 2014 Computer Science Department, USU Nature Outlook focus article, 2012 Nature . Publications - Abstracts Kwon, S., Flann, N.S, Baker, Q.B, Ghaffarizadeh, A., (2014). A 3D agentbased model of the transition from ductal carcinoma in situ to invasion . Institute of Biological Engineering 2014 Annual Conference Dosi, H., Singh, S.K, Flann, N.S, Hinton, H.S, Oswal, V., (2014). Pathway Pioneer: a tool for metabolic network visualization and flux analysis . Institute of Biological Engineering 2014 Annual Conference Dosi, H., Singh, S.K, Flann, N.S, Hinton, H.S, (2014). Pathway Pioneer: A Web-Based Metabolic Network Layout Tool for Comprehensive Visualization of Complex Networks . Institute of Biological Engineering 2014 Annual Conference Ghaffarizadeh, A., Podgorski, G.J, Flann, N.S, (2013). Epigenetic Landscape: a New Look . Society for Mathematical Biology Annual Meeting Bani Baker, Q., Ghaffarizadeh, A., Kwon, S., Podgorski, G.J, Flann, N.S, (2013). An Agent-based Model of Ductal Carcinoma in situ (DCIS) and its Validation in a Tissue-engineered Model of DCIS . Institute of Biological Engineering Annual Conference Flann, N.S, Valliente, J., Wallace, M., Brown, R., Hinton, H.S, (2013). Pathway Pioneer: A network visualization and flux analysis tool . Institute of Biological Engineering Annual Conference Flann, N.S, Ghaffarizadeh, A., Podgorski, G.J, (2012). BioCellion: A high-performance computing framework for multiscale modeling and simulation of multicellular biological systems . The Society for Mathematical Biology Annual Meeting and Conference Flann, N.S, Mahoney, A., Smith, B., Podgorski, G.J, (2008). Evaluating Cancer Interventions by Simulating Tumor-Induced Angiogenesis, Blood Flow and Oxygen Delivery . European Conference on Mathematical and Theoretical Biology . Publications - Books & Book Chapters Book Chapters Flann, N.S, Mohamadloun, H., Podgorski, G.J, Djordjevic, M., Severinov, K., Djordjevic, M., (2012). Criticality of Spatiotemporal Dynamics in Contact Mediated Pattern Formation : Series: Lecture Notes in Computer Science, Vol. 7223 Subseries: Theoretical Computer Science and General Issues . Springer Sasaki, Y., Flann, N.S, Box, P.W, Chen, S.H, (2005). The Multi-agent games by Reinforcement Learning Applied to on-line Optimization of Traffic Policy : Computational Economics: A Perspective from Computational Intelligence . Morgan Kaufmann Publishers * Has not been peer reviewed . Publications - Fact Sheets * Has not been peer reviewed . Publications - Curriculum * Has not been peer reviewed . Publications - Journal Articles Academic Journal Flann, N.S, Intosalmi, J., Scott, A.C, Hays, M., Yli-Harja, O., Lahdesmaki, H., Dudley, A.M, Skupin, A., (2018). Data-driven multiscale modeling reveals the role of metabolic coupling for the spatio-temporal growth dynamics of yeast colonies . bioRxiv , 344226 . Anguilar, B., Ghaffarizadeh, A., Johnson, C.D, Podgorski, G.J, Shmulevich, I., Flann, N.S, (2018). Cell death as a trigger for morphogenesis . PloS one , 13 :3 , e0191089. Davis, D., Doloman, A., Podgorski, G.J, Vargis, E., Flann, N.S, Exploiting Self-Organization in Bioengineered Systems . Biotechnology and Bioengineering / Wiley , 5 :27 Baker, Q.B, Podgorski, G.J, Vargis, E., Flann, N.S, The Effect of Retinal Pigment Epithelial Cell Patch Size on VEGF Production: A Computational Study . Journal of Biological Engineering Ghaffarizadeh, A., Podgorski, G.J, Flann, N.S, Applying Attractor Dynamics to Infer Gene Regulatory Networks for Cellular Differentiation . BioSystems Mohamadlou, H., Podgorski, G.J, Flann, N.S, Fogel, G., (2016). Modular Genetic Regulatory Networks Increase Organization During Pattern Formation . BioSystems, Elsevier , doi: 10.1016/j.biosystems.2016.04.004 Eng, D., Vogel, W.K, Flann, N.S, Gross, M.K, Kioussi, C., (2014). Genome-Wide Mapping of Chromatin State of Mouse Forelimbs . Open Access Bioinformatics Kang, S., Kahan, S., Dermott, J., Flann, N.S, Shmulevich, I., (2014). Biocellion: accelerating computer simulation of multicellular biological system models . Bioinformatics , 30 :21 , 3101-3108. Nahar, D., Flann, N.S, Hyduke, D., Multi-scale Modeling of Microbial Defection in the Presence of Antibiotics . Journal of Theoretical Biology Ghaffarizadeh, A., Flann, N.S, Podgorski, G.J, (2014). Multistable Switches and their Role in Cellular Differentiation Networks . BMC Bioinformatics , 15 :S7 Ghaffarizadeh, A., Flann, N.S, Podgorski, G.J, (2014). Modeling and Visualizing Cell Type Switching . Computational and Mathematical Methods in Medicine , 2014 :293980 Mohamadlou, H., Shope, J.C, Flann, N.S, (2014). Maximizing Kolmogorov Complexity for accurate and robust bright field cell segmentation . BMC Bioinformatics , 15 :32 Xu, B., Recker, M.M, Qi, X., Flann, N.S, Ye, L., (2013). Clustering Educational Digital Library Usage Data: A Comparison of Latent Class Analysis and K-Means Algorithms . Journal of Educational Data Mining , 5 :2 , 38-68. Ghaffarizadeh, A., Eftekari, M., Esmailzadeh, A.K, Flann, N.S, (2013). Quantitative Trait Loci Mapping Problem: An Extinction-Based Multi-Objective Evolutionary Algorithm Approach . Algorithms , 6 :3 , 546-564. doi: doi:10.3390/a6030546 Flann, N.S, Mohamadloun, H., Podgorski, G.J, (2013). Kolmogorov Complexity of Epithelial Pattern Formation: the role of Regulatory Network Configuration. . Biosystems , 112 :2 , 131-138. doi: 10.1016/j.biosystems Mahoney, A.W, Podgorski, G.J, Flann, N.S, (2012). A Multi-Objective Optimization Based-Approach for Discovering Novel Cancer Therapies. IEEE/ACM Transactions on Computational Biology and Bioinformatics . IEEE/ACM Transactions on Computational Biology and Bioinformatics , 9 :1 , 169-184. doi: 10.1109/TCBB.2010.39 Mahoney, A.W, Smith, B.G, Flann, N.S, Podgorski, G.J, (2009). Discovering novel cancer therapies: A computational modeling and search approach . Comp. Intelligence Bioinform. Comp. Biol Podgorski, G.J, Bansal, M., Flann, N.S, (2007). Regular Mosaic Pattern Formation: A Study of the Interplay between Lateral Inhibition, Apoptosis, and Differential Adhesion . Journal of Theoretical Biology and Medical Modelling , 4 , 43. Flann, N.S, Moore, K.L, Ma, L., (2002). A Small Mobile Robot for Security and Inspection Operations . Control Engineering Practice , 10 , 1265-1270. Chen, , Watson, D.W, Flann, N.S, (1998). Parallel genetic simulated annealing: a massivly parallel SIMD algorithm . IEEE Trans. Parallel and Distributed Systems , 9 :2 * Has not been peer reviewed . Publications - Literary Journal * Has not been peer reviewed . Publications - MultiMedia Software Flann, N.S, (2014). Biocellion: Simulating cell systems at faster than the speed of life . Flann, N.S, (2013). Pathway Pioneer: Metabolic Network Analysis and Visualization Tool . * Has not been peer reviewed . Publications - Technical Reports * Has not been peer reviewed . Publications - Translations & Transcripts . Publications - Other Other Flann, N.S, (2003). Path planner and method for planning a contour path of a vehicle . * Has not been peer reviewed . Scheduled Teaching CS 5050 - Advanced Algorithms, Fall 2018 CS 5890 - Topics in Computer Science (Topic), Fall 2018 CS 5050 - Advanced Algorithms, Spring 2017 CS 4250 - Cooperative Work Experience, Spring 2017 CS 6250 - Cooperative Work Experience, Graduate, Spring 2017 CS 5890, 6890 - Topics in Computer Science (Topic), Spring 2017 CS 2250 - Cooperative Work Experience, Fall 2016 CS 4250 - Cooperative Work Experience, Fall 2016 CS 6250 - Cooperative Work Experience, Graduate, Fall 2016 CS 5600, 6600 - Intelligent Systems, Fall 2016 CS 6890 - Topics in Computer Science (Topic), Fall 2016 CS 5660, 6670 - Bioinformatics I, Summer 2016 CS 4250 - Cooperative Work Experience, Summer 2016 CS 6250 - Cooperative Work Experience, Graduate, Summer 2016 CS 5050 - Advanced Algorithms, Spring 2016 CS 6670 - Advanced Bioinformatics, Spring 2016 CS 4250 - Cooperative Work Experience, Spring 2016 CS 6250 - Cooperative Work Experience, Graduate, Spring 2016 CS 4250 - Cooperative Work Experience, Fall 2015 CS 6250 - Cooperative Work Experience, Graduate, Fall 2015 CS 5600, 6600 - Intelligent Systems, Fall 2015 2 CS 5600, 6600 - Intelligent Systems, Fall 2015 CS 5050 - Advanced Algorithms, Summer 2015 CS 6250 - Cooperative Work Experience, Graduate, Summer 2015 CS 6670 - Advanced Bioinformatics, Spring 2015 CS 4250 - Cooperative Work Experience, Spring 2015 CS 6250 - Cooperative Work Experience, Graduate, Spring 2015 CS 4250 - Cooperative Work Experience, Fall 2014 CS 6250 - Cooperative Work Experience, Graduate, Fall 2014 CS 5600,6600 - Intelligent Systems, Fall 2014 CS 4250 - Cooperative Work Experience, Summer 2014 CS 6250 - Cooperative Work Experience, Graduate, Summer 2014 CS 5050 - Advanced Algorithms, Spring 2014 CS 6670 - Advanced Bioinformatics, Spring 2014 CS 4250 - Cooperative Work Experience, Spring 2014 CS 6250 - Cooperative Work Experience, Graduate, Spring 2014 CS 2250 - Cooperative Work Experience, Fall 2013 CS 4250 - Cooperative Work Experience, Fall 2013 CS 6250 - Cooperative Work Experience, Graduate, Fall 2013 CS 5600,6600 - Intelligent Systems, Fall 2013 CS 4250 - Cooperative Work Experience, Summer 2013 CS 6250 - Cooperative Work Experience, Graduate, Summer 2013 CS 5670 - Bioinformatics II, Spring 2013 CS 4250 - Cooperative Work Experience, Spring 2013 CS 6250 - Cooperative Work Experience, Graduate, Spring 2013 CS 5660 - Bioinformatics I, Fall 2012 CS 4250 - Cooperative Work Experience, Fall 2012 CS 6250 - Cooperative Work Experience, Graduate, Fall 2012 CS 7960 - Topics in Bioinformatics (Topic), Fall 2012 CS 5670 - Bioinformatics II, Spring 2012 CS 2250 - Cooperative Work Experience, Spring 2012 CS 4250 - Cooperative Work Experience, Spring 2012 CS 6250 - Cooperative Work Experience, Graduate, Spring 2012 CS 5050 - Advanced Algorithms, Fall 2011 CS 2420 - Algorithms and Data Structures--CS 3, Fall 2011 CS 5670 - BIOINFORMATICS II, Spring 2011 CS 5050 - Advanced Algorithms, Fall 2010 6 CS 5050 - Advanced Algorithms, Fall 2010 CS 5050 - Advanced Algorithms, Fall 2010 CS 5050 - Advanced Algorithms, Fall 2010 CS 5050 - Advanced Algorithms, Fall 2010 CS 5050 - Advanced Algorithms, Fall 2010 CS 1410 - Introduction to Computer Science--CS 2, Fall 2010 CS 1410 - Introduction to Computer Science--CS 2, Fall 2010 CS 1410 - Introduction to Computer Science--CS 2, Fall 2010 Full Teaching History . Graduate Students Mentored Adam Lemmon, Computer Science, January 2014 Andrew Ingebretsen, Computer Science, January 2014 Gopal Menon, Computer Science, January 2014 Sahith Kallakunta, Computer Science, January 2014 Shantanu Saxena, Computer Science, January 2014 Harsh Dosi, Computer Science, August 2013 Kush Manjekar, Computer Science, August 2013 Ray Butler, Computer Science, August 2013 Sravani Mamidi, Computer Science, August 2013 Darshan Nahar, Computer Science, January 2013 Sumit Kumar Singh, Computer Science, January 2013 Vipul Oswal, Computer Science, January 2013 Alex Wells, Computer Science, August 2012 Brandon Chambers, Computer Science, August 2012 Gregory Pierce, Computer Science, August 2012 Jinwook Chung, Computer Science, January 2012 Michael Ulmer, Computer Science, January 2012 Colby Salmon, Computer Science, August 2011 Sandeep Nannuri, Computer Science, August 2011 Shawn Badger, Computer Science, June 2011 Wade Curtis Hadlock, Computer Science, August 2008 Brent Dutson, Computer Science, August 2007 Qanita Bani-Baker, Computer Science, August 2011 - July 2015 Hamid Mohamadlou, Computer Science, August 2010 - May 2015 Ahmadreza Ghaffarizadeh, Computer Science, August 2010 - August 2014 Thimma Reddy Kalva, Computer Science, August 2012 2013 . diff --git a/src/data/compiled_bios/3428.txt b/src/data/compiled_bios/3428.txt new file mode 100644 index 0000000000..2d10007205 --- /dev/null +++ b/src/data/compiled_bios/3428.txt @@ -0,0 +1 @@ + Faculty | Computer Science Douglas Galarus Computer Science Assistant Professor Contact Information Office Location: Old Main 420 Icon Phone: 435-797-4136 Icon Email: Douglas.Galarus@usu.edu Website Educational Background: Doctor of Philosophy, Computer Science, 2017, Montana State University, Bozeman, MT, Dissertation: Anomaly Detection through Spatio-Temporal Data Mining, with Application to Real-Time Outlying Sensor Identification Master of Science, Computer Science, 1995, University of Montana, Missoula, MT, Thesis: Modeling Stock Market Returns with Local Iterated Function Systems. Master of Arts, Teacher of Mathematics, 1993, University of Montana, Missoula, MT B.A. with high honors, Mathematics, 1989, University of Montana, Missoula, MT, Emphasis Data Science & Systems, Data Quality, Spatio-Temporal Data Analysis, Intelligent Transportation Systems : diff --git a/src/data/compiled_bios/3429.txt b/src/data/compiled_bios/3429.txt new file mode 100644 index 0000000000..43be8de529 --- /dev/null +++ b/src/data/compiled_bios/3429.txt @@ -0,0 +1 @@ + Faculty | Computer Science Minghui Jiang Computer Science Associate Professor Contact Information Office Location: Old Main 402G Icon Phone: 435-797-0347 Icon Email: minghui.jiang@usu.edu Website Educational Background: PhD , Computer Science, Montana State University, 2005 Dissertation MS , Physics and Computer Science, Purdue University, 1999 Thesis BS , Physics, Peking University, 1997 Emphasis Theoretical Computer Science, Discrete Mathematics, Discrete and Computational Geometry, Parameterized Complexity, Approximation Algorithms, Competitive Programming : diff --git a/src/data/compiled_bios/343.txt b/src/data/compiled_bios/343.txt new file mode 100644 index 0000000000..01a0e2ede0 --- /dev/null +++ b/src/data/compiled_bios/343.txt @@ -0,0 +1 @@ +Name: Feng, Ranran:: Position: Senior Lecturer:: Degrees: ; ; ; ; Ph.D. in Computer Science, University of Texas at Dallas, Richardson, TX (2014); MS in Computer Science, Sam Houston State University, Huntsville, TX (2009); ; ; ; ; Research Interests: Content based image retrieval,; Pattern Recognition; Machine Learning; Face Detection & Recognition; Content based online Multimedia Filtering; Object Detection & Recognition; Computer Vision; Multimedia Retrieval; Data Mining; Major Honors and Awards: Distinguished Teaching Assistant Award, UT Dallas; ACM Multimedia (MM) Student Travel Grant, ACM; Tektronix Scholarship, UT Dallas; Meritorious Award in Mathematical Contest in Modeling (MCM); Representative Publications: Feng and B. Prabhkaran. A Novel Method for Post-Surgery Face Recognition using Sum of Facial Parts Recognition, 2014 IEEE Winter Conference on Application of Computer Vision (WACV 2014), 2014.; Feng and B. Prabhkaran. Facilitating Fashion Camouflage Art, 2013 ACM International Conference on Multimedia (MM 2013), 2013.; Feng and B. Prabhkaran. Quantifying the Makeup Effect on Female Faces and its Application for Age Estimation, 2012 International Symposium on Multimedia (ISM 2012), 2012.; Feng and J. Ji. A Novel Approach for Depth Extraction from Single 2D image, 2012 IEEE International Conference on Systems and Informatics, 2012.; Notable Service: Member of IEEE, ACM, Society of Women Engineer.; Reviewer of Journal of Multimedia Systems (2012 present).; Reviewer for Multiple Domestic and International Computer Science (and corresponding fields) conferences: South Central CCSC 2012, SIGMAP 2014 & 2015, CONECO 2014, AIAA 2014, WIMON 2014.; Program Committee for MCM 2014.; diff --git a/src/data/compiled_bios/3430.txt b/src/data/compiled_bios/3430.txt new file mode 100644 index 0000000000..2db605d331 --- /dev/null +++ b/src/data/compiled_bios/3430.txt @@ -0,0 +1 @@ + Faculty | Computer Science Rakesh Kaundal Director, Bioinformatics Facility Assistant Professor, Bioinformatics Contact Information Office Location: CIB 101B Icon Phone: 435-797-4117 Icon Email: rkaundal@usu.edu Curriculum Vitae : diff --git a/src/data/compiled_bios/3431.txt b/src/data/compiled_bios/3431.txt new file mode 100644 index 0000000000..dc19922d1f --- /dev/null +++ b/src/data/compiled_bios/3431.txt @@ -0,0 +1 @@ + Faculty | Computer Science Vladimir Kulyukin Computer Science Associate Professor Contact Information Office Location: Old Main 402D Icon Phone: 435-797-1000 Icon Email: vladimir.kulyukin@usu.edu Educational Background: PhD , Computer Science, University of Chicago, 1998 MS , Computer Science, University of Chicago, 1997 MA , Slavic Linguistics, University of Chicago, 1993 MA , Computational Linguistics, Moscow State Linguistic University, 1990 Emphasis Artificial Intelligence : diff --git a/src/data/compiled_bios/3432.txt b/src/data/compiled_bios/3432.txt new file mode 100644 index 0000000000..3e4c56c4a6 --- /dev/null +++ b/src/data/compiled_bios/3432.txt @@ -0,0 +1 @@ + Faculty | Computer Science Chad Mano Computer Science Professional Practice Assistant Professor Contact Information Office Location: Old Main 435 Icon Phone: 435-797-5794 Icon Email: chad.mano@usu.edu Website Educational Background: PhD , Computer Science and Engineering, University of Notre Dame, 2006 MS , Computer Science, Utah State University, 2003 BS , Economics, Utah State University, 1998 Emphasis Computer Security : diff --git a/src/data/compiled_bios/3433.txt b/src/data/compiled_bios/3433.txt new file mode 100644 index 0000000000..f520cfca63 --- /dev/null +++ b/src/data/compiled_bios/3433.txt @@ -0,0 +1 @@ + Faculty | Computer Science Dean Mathias Computer Science Professional Practice Assistant Professor Prof Practice Asst Professor Contact Information Go to Office Location: Old Main 426 Dial Phone: 435-797-4458 Send Email: dean.mathias@usu.edu Website Educational Background PhD , Computer Science, Utah State University, 2012 Dissertation Peer-to-Peer Simulation of Massive Virtual Environments MS , Computer Science, Utah State University, 2004 Thesis Computer Graphics Error Measurement BS , Computer Science, Utah State University, 1992 Research Interests Distributed Systems, Computer Graphics, Technical Game Development Teaching * Has not been peer reviewed * Has not been peer reviewed * Has not been peer reviewed * Has not been peer reviewed * Has not been peer reviewed * Has not been peer reviewed * Has not been peer reviewed * Has not been peer reviewed Scheduled Teaching CS 5400 - Computer Graphics I, Fall 2018 CS 1410 - Introduction to Computer Science--CS 2, Fall 2018 2 CS 1410 - Introduction to Computer Science--CS 2, Fall 2018 CS 5410 - Game Development, Spring 2018 CS 1410 - Introduction to Computer Science--CS 2, Spring 2018 CS 3010 - Information Acquisition, Analysis and Presentation, Fall 2017 3 CS 3010 - Information Acquisition, Analysis and Presentation, Fall 2017 CS 3010 - Information Acquisition, Analysis and Presentation, Fall 2017 CS 1410 - Introduction to Computer Science--CS 2, Fall 2017 2 CS 1410 - Introduction to Computer Science--CS 2, Fall 2017 CS 3100 - Operating Systems and Concurrency, Fall 2017 CS 3000 - Undergraduate Seminar, Fall 2017 CS 3010 - Information Acquisition, Analysis and Presentation, Summer 2017 CS 5410 - Game Development, Spring 2017 CS 1410 - Introduction to Computer Science--CS 2, Spring 2017 2 CS 1410 - Introduction to Computer Science--CS 2, Spring 2017 CS 3000 - Undergraduate Seminar, Spring 2017 CS 3010 - Information Acquisition, Analysis and Presentation, Fall 2016 3 CS 3010 - Information Acquisition, Analysis and Presentation, Fall 2016 CS 3010 - Information Acquisition, Analysis and Presentation, Fall 2016 CS 1410 - Introduction to Computer Science--CS 2, Fall 2016 2 CS 1410 - Introduction to Computer Science--CS 2, Fall 2016 CS 3100 - Operating Systems and Concurrency, Fall 2016 CS 3000 - Undergraduate Seminar, Fall 2016 CS 5410 - Game Development, Spring 2016 CS 3010 - Information Acquisition, Analysis and Presentation, Spring 2016 CS 3010 - Information Acquisition, Analysis and Presentation, Fall 2010 CS 3010 - Information Acquisition, Analysis and Presentation, Fall 2010 Full Teaching History Graduate Students Mentored : . * Has not been peer reviewed . * Has not been peer reviewed . * Has not been peer reviewed . * Has not been peer reviewed . * Has not been peer reviewed . * Has not been peer reviewed . * Has not been peer reviewed . . * Has not been peer reviewed . Scheduled Teaching CS 5400 - Computer Graphics I, Fall 2018 CS 1410 - Introduction to Computer Science--CS 2, Fall 2018 2 CS 1410 - Introduction to Computer Science--CS 2, Fall 2018 CS 5410 - Game Development, Spring 2018 CS 1410 - Introduction to Computer Science--CS 2, Spring 2018 CS 3010 - Information Acquisition, Analysis and Presentation, Fall 2017 3 CS 3010 - Information Acquisition, Analysis and Presentation, Fall 2017 CS 3010 - Information Acquisition, Analysis and Presentation, Fall 2017 CS 1410 - Introduction to Computer Science--CS 2, Fall 2017 2 CS 1410 - Introduction to Computer Science--CS 2, Fall 2017 CS 3100 - Operating Systems and Concurrency, Fall 2017 CS 3000 - Undergraduate Seminar, Fall 2017 CS 3010 - Information Acquisition, Analysis and Presentation, Summer 2017 CS 5410 - Game Development, Spring 2017 CS 1410 - Introduction to Computer Science--CS 2, Spring 2017 2 CS 1410 - Introduction to Computer Science--CS 2, Spring 2017 CS 3000 - Undergraduate Seminar, Spring 2017 CS 3010 - Information Acquisition, Analysis and Presentation, Fall 2016 3 CS 3010 - Information Acquisition, Analysis and Presentation, Fall 2016 CS 3010 - Information Acquisition, Analysis and Presentation, Fall 2016 CS 1410 - Introduction to Computer Science--CS 2, Fall 2016 2 CS 1410 - Introduction to Computer Science--CS 2, Fall 2016 CS 3100 - Operating Systems and Concurrency, Fall 2016 CS 3000 - Undergraduate Seminar, Fall 2016 CS 5410 - Game Development, Spring 2016 CS 3010 - Information Acquisition, Analysis and Presentation, Spring 2016 CS 3010 - Information Acquisition, Analysis and Presentation, Fall 2010 CS 3010 - Information Acquisition, Analysis and Presentation, Fall 2010 Full Teaching History . Graduate Students Mentored. diff --git a/src/data/compiled_bios/3434.txt b/src/data/compiled_bios/3434.txt new file mode 100644 index 0000000000..e83d742b0b --- /dev/null +++ b/src/data/compiled_bios/3434.txt @@ -0,0 +1 @@ + Faculty | Computer Science Mahdi Nasrullah Al-Ameen Computer Science Assistant Professor Contact Information Office Location: Old Main 401F Icon Phone: 435-797-0241 Icon Email: mahdi.al-ameen@usu.edu Website Educational Background: PhD, Computer Science, The University of Texas at Arlington, 2016. BS, Computer Science and Engineering, Bangladesh University of Engineering and Technology (BUET), 2009. Emphasis Cyber Security, Usable Security and Privacy, Human-computer Interaction : diff --git a/src/data/compiled_bios/3435.txt b/src/data/compiled_bios/3435.txt new file mode 100644 index 0000000000..7be3f5184d --- /dev/null +++ b/src/data/compiled_bios/3435.txt @@ -0,0 +1 @@ + Faculty | Computer Science Xiaojun Qi Computer Science Professor and Interim Department Head Professor Contact Information Go to Office Location: Old Main 401A Dial Phone: 435-797-8155 Send Email: Xiaojun.Qi@usu.edu Website Educational Background PhD , Computer Science, (Information Systems and Decision Sciences), Louisiana State University, 2001 Dissertation Compression of 3-D Magnetic Resonance Brain Images MS , Systems Science, Louisiana State University, 1999 Thesis Integrated Scientific Data Management Mining and Visualization System MS , Computer Science, Shenyang Institute of Automation, the Chinese Academy of Sciences, 1996 Thesis Research and Implementation of a Data Communication Server on an Open Information Integration Platform BS , Computer Engineering, Donghua University, 1993 Biography Dr. Xiaojun Qi received her M.S. and Ph.D. degrees in Computer Science from Louisiana State University in 1999 and 2001, respectively. In Fall 2002, she joined the Department of Computer Science at Utah State University as a tenure-track assistant professor. In April 2008, she received tenure and was promoted to Associate Professor. Teaching Interests Digital Image Processing Research Interests Content-Based Image/Video Retrieval Computer Vision, Image Processing, Pattern Recognition, Digital Watermarking and Steganography/Steganalysis Awards Publications Abstracts Books & Book Chapters Fact Sheets Curriculum Journal Article 34 Literary Journal MultiMedia Technical Report 9 Translation or Transcriptions Other Teaching Graduate Students Mentored Awards IEEE Senior Member, 2010 2008 Marquis Whos who in America, 62th edition Third Prize, 1995 Liaoning Provincial Committee of Science and Technology Publications - Abstracts Publications - Books & Book Chapters * Has not been peer reviewed Publications - Fact Sheets * Has not been peer reviewed Publications - Curriculum * Has not been peer reviewed Publications - Journal Articles Academic Journal Javanmardi, M., Song, Z., Qi, X., (2019). Automated Traffic Sign and Light Pole Detection in Mobile LiDAR Scanning Data . IET Intelligent Transport Systems Javanmardi, M., Qi, X., (2018). Visual Tracking of Resident Space Objects via a RFS-Based Multi-Bernoulli Track-Before-Detect Method . Journal of Machine Vision and Applications Faraji, M., Qi, X., (2018). Face Recognition under Varying Illuminations with Multi-Scale Gradient Maximum Response . Neurocomputing Faraji, M., Qi, X., Jensen, A., (2016). Computer Vision-Based Orthorectification and Georeferencing of Aerial Image Sets . Journal of Applied Remote Sensing , 10 :3 , 036027. Peng, L., Qi, X., (2016). A Hierarchical Model to Learn Object Proposals and its Applications . Journal of Intelligent & Fuzzy Systems , 31 :5 , 2543-2551. Faraji, M., Qi, X., (2016). Face Recognition under Varying Illuminations Using Logarithmic Fractal Dimension-based Complete Eight Local Directional Patterns . Neurocomputing , 199 , 16-30. Minemura, K., Wong, K., Qi, X., Tanaka, K., (2016). A Scrambling Framework for Block Transform Compressed Images . Multimedia Tools and Applications , 1-12. Tian, J., Qi, X., Qu, L., Tang, Y., (2016). New Spectrum Ratio Properties and Features for Shadow Detection . Pattern Recognition , 51 , 85-96. Xiao, L., Chen, Q., Wu, Y., Qi, X., Zhou, A., (2015). Simultaneous Topographic and Single Molecule Recognition Imaging of Epidermal Growth Factor Receptor (EGFR) on Single Human Breast Cancer Cells . Biochimica et Biophysica Acta Biomembranes , 1848 :10 , 1988-1995. Li, Q., Suasnavas, E., Xiao, L., Heywood, S., Qi, X., Zhou, A., Isom, S., (2015). Label-Free and Non-Invasive Monitoring of Porcine Trophoblast Derived Cells: Differentiation in Serum and Serum-Free Media . Journal of Biophotonics , 8 :8 , 638-645. doi: doi:10.1002/jbio.201400062 Qi, X., Xin, X., (2015). A Singular-Value-Based Semi-Fragile Watermarking Scheme for Image Content Authentication with Tamper Localization . Journal of Visual Communication and Image Representation , 30 , 312-327. Ong, S., Wong, K., Qi, X., Tanaka, K., (2015). Beyong Format-Compliant Encryption for JPEG Image . Signal Processing: Image Communication , 31 , 47-60. Faraji, M.R, Qi, X., (2015). Face Recognition Under Illumination Variations Based on Eight Local Directional Patterns . IET Biometrics , 4 :1 , 10-17. Faraji, M.R, Qi, X., (2014). Face Recognition under Varying Illumination with Logarithmic Fractal Analysis . IEEE Signal Processing Letters , 21 :12 , 1457-1461. Faraji, M.R, Qi, X., (2014). Face Recognition under Varying Illumination Based on Adaptive Homomorphic Eight Local Directional Patterns . IET Computer Vision , Vol. 11 , 1-10. doi: 10.1049/iet-cvi.2014.0200 Xiao, Z., Qi, X., (2014). Complementary Relevance Feedback-Based Content-Based Image Retrieval . Multimedia Tools and Applications Qi, X., Chang, R., (2013). A Scalable Graph-Based Semi-Supervised Ranking System for Content-Based Image Retrieval . International Journal of Multimedia Data Engi-neering and Management , 4 :4 , 15-34. Xu, B., Recker, M.M, Qi, X., Flann, N.S, Ye, L., (2013). Clustering Educational Digital Library Usage Data: A Comparison of Latent Class Analysis and K-Means Algorithms . Journal of Educational Data Mining , 5 :2 , 38-68. McEwen, G.D, Wu, Y., Tang, M.J, Qi, X., Xiao, Z., Baker, S., Yu, T., Gilbertson, T.A, DeWald, D.B, Zhou, A., (2013). Subcellular Spectroscopic Markers, Topography and Nanomechanics of Human Lung Cancer and Breast Cancer Cells Examined by Combined Confocal Raman Microspectroscopy and Atomic Force Microscopy . Analyst , 138 , 787-797. Jiang, M., Qi, X., Tejada, P.J, (2011). A Computational-Geometry Approach to Digital Image Contour Extraction : Lecture Notes in Computer Science . Transactions on Computational Science , XIII , 13-43. Qi, X., Xin, X., (2011). A Quantization-Based Semi-Fragile Watermarking Scheme for Image Content Authentication . Journal of Visual Communication and Image Representation , 22 , 187-200. Alvarez, M.A, Qi, X., Yan, C., Wong, W., Liu, W., Bennamoun, M., (2011). Go-Based Term Semantic Similarity : Ontology Learning and Knowledge Discovery Using the Web: Challenges and Recent Advances . Ontology Learning and Knowledge Discovery Using the Web: Challenges and Recent Advances , 174-185. Qi, X., Barrett, S., Chang, R., (2011). A Noise-Resilient Collaborative Learning Approach to Content-Based Image Retrieval . International Journal of Intelligent Systems , 26 , 1153-1175. Alvarez, M., Qi, X., Yan, C., (2011). A Shortest Path Graph Kernel for Estimating Gene Product Semantic Similarity . Journal of Biomedical Semantics Qi, X., Qi, J., (2009). A Desynchronization Resilient Watermarking Scheme . LNCS Transactions on Data Hiding and Multimedia Security Qi, X., Ebert, J., (2009). Computer Vision-Based Fire Detection in Color Videos . International Journal of Imaging , 2 :S09 , 22-34. Qi, X., Qi, J., (2008). A Robust DCT-Based Digital Watermarking Scheme Using Feature Points . Journal of Electronics and Computer Science , 10 :1 , 109-123. Wong, K., Qi, X., Tanaka, K., (2007). A DCT-Based Mod4 Steganographic Method . Signal Processing , 87 :6 , 1251-1263. Qi, X., Qi, J., (2007). A Robust Content-Based Digital Image Watermarking Scheme . Signal Processing , 87 :6 , 1264-1280. Qi, X., Han, Y., (2007). Incorporating Multiple SVMs for Automatic Image Annotation . Pattern Recognition , 40 :2 , 728-741. Qi, X., Qi, J., Wu, Y., (2007). RootLM: A Simple Color Image Analysis Program for Root Length Measurement in Arabidopsis . Plant Root , 1 , 10-16. Qi, X., Han, Y., (2005). A Novel Fusion Approach to Content-Based Image Retrieval . Pattern Recognition , 38 :12 , 2449-2465. Qi, X., Tyler, J.M, (2005). A Progressive Transmission Capable Diagnostically Lossless Compression Scheme for 3-D Medical Image Sets . Information Sciences , 175 :3 , 217-243. Qi, X., Yin, , Li, , Wang, , (1997). Research and Implementation of An Open Distributed Processing System in CIMS . Chinese Journal of Computer Integrated Manufacturing Systems (CIMS) , 3 :3 , 42-46. * Has not been peer reviewed Publications - Literary Journal * Has not been peer reviewed Publications - MultiMedia * Has not been peer reviewed Publications - Technical Reports Other Reports Qi, X., Cooley, D.H, (2007). REU Site Program in Computer Vision and Image Processing . Computer Science Department, Computer Vision and Image Processing Laboratory * Qi, X., (2007). An Inexpensive Assistive Eyegaze Communication System for Physically Disabled Individuals . Computer Science Department, Computer Vision and Image Processing Laboratory Qi, X., Cooley, D.H, (2006). REU Site Program in Computer Vision and Image Processing . Computer Science Department, Computer Vision and Image Processing Laboratory * Qi, X., Cannon, S.R, Jones, C., (2006). A Simulation Tool for Task Graph Based Scheduling Algorithms . Computer Science Department, Space Software Laboratory Qi, X., Kulyukin, V.A, (2006). A Vision-Based Assisted Navigation System for the Visually Impaired Wheelchair Users . Computer Science Department, Computer Vision and Image Processing Laboratory Qi, X., Cannon, S.R, Mayne, M., (2005). An Enhanced Network Architecture Simulator for Flight Systems . Computer Science Department, Space Software Laboratory Qi, X., Cooley, D.H, (2005). REU Site Program in Computer Vision and Image Processing . Computer Science Department, Computer Vision and Image Processing Laboratory Qi, X., Cannon, S.R, Mayne, M., Hospodarsky, T., (2004). A Network Architecture Simulator for Flight Systems . Computer Science Department, Space Software Laboratory Qi, X., (2004). A Progressive Lossless Codec for Medical Image Sets . Computer Science Department, Computer Vision and Image Processing Laboratory * Has not been peer reviewed Publications - Translations & Transcripts Publications - Other * Has not been peer reviewed Scheduled Teaching CS 5680, 6680 - Computer Vision: Foundations and Applications, Fall 2018 CS 6900 - Seminar, Fall 2018 CS 5680 - Computer Vision: Foundations and Applications, Fall 2017 CS 6680 - Computer Vision: Foundations and Applications, Fall 2017 CS 6900 - Seminar, Fall 2017 CS 7680 - Advanced Computer Vision, Spring 2017 CS 5680, 6680 - Computer Vision: Foundations and Applications, Fall 2016 CS 2420 - Algorithms and Data Structures--CS 3, Spring 2016 2 CS 2420 - Algorithms and Data Structures--CS 3, Spring 2016 CS 5650 - CVPRIP I: Computer Vision, Pattern Recognition, and Image Processing, Fall 2015 CS 7680 - Advanced Computer Vision, Spring 2015 CS 1410 - Introduction to Computer Science--CS 2, Spring 2015 CS 5650 - CVPRIP I: Computer Vision, Pattern Recognition, and Image Processing, Fall 2014 CS 1410 - Introduction to Computer Science--CS 2, Spring 2014 2 CS 1410 - Introduction to Computer Science--CS 2, Spring 2014 CS 5650 - CVPRIP I: Computer Vision, Pattern Recognition, and Image Processing, Fall 2013 CS 7680 - Advanced Computer Vision, Spring 2013 CS 1410 - Introduction to Computer Science--CS 2, Spring 2013 CS 5650 - CVPRIP I: Computer Vision, Pattern Recognition, and Image Processing, Fall 2011 CS 1410 - Introduction to Computer Science--CS 2, Fall 2011 CS 5650 - CVPRIP I: Computer Vision, Pattern Recognition, and Image Processing, Fall 2010 Full Teaching History Graduate Students Mentored Qiuxiao Chen, Computer Science, August 2018 Zachary Case, Computer Science, October 2017 Meng Xu, Computer Science, August 2017 Brendan Robeson, Computer Science, August 2016 Mohammadreza Javanmardi, Computer Science, January 2016 Amir Hossein Farzaneh, Computer Science, August 2015 Kamna Yadav, Computer Science, October 2016 - August 2018 Yaswanth Kodavali, Computer Science, May 2015 - April 2017 Chong Li, Computer Science, August 2014 - April 2017 Liang Peng, Computer Science, September 2012 - February 2017 Robert Buck, Computer Science, August 2014 - December 2015 Mohammadreza Faraji, Computer Science, July 2012 - April 2015 Zhongmiao Xiao, Computer Science, August 2009 - December 2014 Ran Chang, Computer Science, August 2006 - December 2013 Swathi Rajashekar, Computer Science, September 2011 - April 2012 Jiyuan Wang, Computer Science, January 2010 - April 2012 Marco Alvarez Vega, Computer Science, August 2009 - November 2011 Beijie Xu, September 2009 - April 2011 Xing Xin, Computer Science, August 2008 - April 2010 Benjamin Banham, August 2006 - June 2008 Daniel Lewis, Computer Science, August 2005 - May 2007 Seth Call, August 2004 - April 2006 Yinbing Ge, Computer Science, August 2003 - March 2006 Hongxing Zheng, Computer Science, August 2004 - January 2006 Yutao Han, Computer Science, September 2002 - November 2005 Ji Qi, Computer Science, August 2002 - November 2005 KokSheik Wong, Computer Science, August 2003 - August 2005 Jared Alger, Computer Science, August 2003 - April 2005 Kenneth Jensen, Computer Science, August 2003 - April 2005 : Awards IEEE Senior Member, 2010 2008 Marquis Whos who in America, 62th edition Third Prize, 1995 Liaoning Provincial Committee of Science and Technology . Publications - Abstracts . Publications - Books & Book Chapters * Has not been peer reviewed . Publications - Fact Sheets * Has not been peer reviewed . Publications - Curriculum * Has not been peer reviewed . Publications - Journal Articles Academic Journal Javanmardi, M., Song, Z., Qi, X., (2019). Automated Traffic Sign and Light Pole Detection in Mobile LiDAR Scanning Data . IET Intelligent Transport Systems Javanmardi, M., Qi, X., (2018). Visual Tracking of Resident Space Objects via a RFS-Based Multi-Bernoulli Track-Before-Detect Method . Journal of Machine Vision and Applications Faraji, M., Qi, X., (2018). Face Recognition under Varying Illuminations with Multi-Scale Gradient Maximum Response . Neurocomputing Faraji, M., Qi, X., Jensen, A., (2016). Computer Vision-Based Orthorectification and Georeferencing of Aerial Image Sets . Journal of Applied Remote Sensing , 10 :3 , 036027. Peng, L., Qi, X., (2016). A Hierarchical Model to Learn Object Proposals and its Applications . Journal of Intelligent & Fuzzy Systems , 31 :5 , 2543-2551. Faraji, M., Qi, X., (2016). Face Recognition under Varying Illuminations Using Logarithmic Fractal Dimension-based Complete Eight Local Directional Patterns . Neurocomputing , 199 , 16-30. Minemura, K., Wong, K., Qi, X., Tanaka, K., (2016). A Scrambling Framework for Block Transform Compressed Images . Multimedia Tools and Applications , 1-12. Tian, J., Qi, X., Qu, L., Tang, Y., (2016). New Spectrum Ratio Properties and Features for Shadow Detection . Pattern Recognition , 51 , 85-96. Xiao, L., Chen, Q., Wu, Y., Qi, X., Zhou, A., (2015). Simultaneous Topographic and Single Molecule Recognition Imaging of Epidermal Growth Factor Receptor (EGFR) on Single Human Breast Cancer Cells . Biochimica et Biophysica Acta Biomembranes , 1848 :10 , 1988-1995. Li, Q., Suasnavas, E., Xiao, L., Heywood, S., Qi, X., Zhou, A., Isom, S., (2015). Label-Free and Non-Invasive Monitoring of Porcine Trophoblast Derived Cells: Differentiation in Serum and Serum-Free Media . Journal of Biophotonics , 8 :8 , 638-645. doi: doi:10.1002/jbio.201400062 Qi, X., Xin, X., (2015). A Singular-Value-Based Semi-Fragile Watermarking Scheme for Image Content Authentication with Tamper Localization . Journal of Visual Communication and Image Representation , 30 , 312-327. Ong, S., Wong, K., Qi, X., Tanaka, K., (2015). Beyong Format-Compliant Encryption for JPEG Image . Signal Processing: Image Communication , 31 , 47-60. Faraji, M.R, Qi, X., (2015). Face Recognition Under Illumination Variations Based on Eight Local Directional Patterns . IET Biometrics , 4 :1 , 10-17. Faraji, M.R, Qi, X., (2014). Face Recognition under Varying Illumination with Logarithmic Fractal Analysis . IEEE Signal Processing Letters , 21 :12 , 1457-1461. Faraji, M.R, Qi, X., (2014). Face Recognition under Varying Illumination Based on Adaptive Homomorphic Eight Local Directional Patterns . IET Computer Vision , Vol. 11 , 1-10. doi: 10.1049/iet-cvi.2014.0200 Xiao, Z., Qi, X., (2014). Complementary Relevance Feedback-Based Content-Based Image Retrieval . Multimedia Tools and Applications Qi, X., Chang, R., (2013). A Scalable Graph-Based Semi-Supervised Ranking System for Content-Based Image Retrieval . International Journal of Multimedia Data Engi-neering and Management , 4 :4 , 15-34. Xu, B., Recker, M.M, Qi, X., Flann, N.S, Ye, L., (2013). Clustering Educational Digital Library Usage Data: A Comparison of Latent Class Analysis and K-Means Algorithms . Journal of Educational Data Mining , 5 :2 , 38-68. McEwen, G.D, Wu, Y., Tang, M.J, Qi, X., Xiao, Z., Baker, S., Yu, T., Gilbertson, T.A, DeWald, D.B, Zhou, A., (2013). Subcellular Spectroscopic Markers, Topography and Nanomechanics of Human Lung Cancer and Breast Cancer Cells Examined by Combined Confocal Raman Microspectroscopy and Atomic Force Microscopy . Analyst , 138 , 787-797. Jiang, M., Qi, X., Tejada, P.J, (2011). A Computational-Geometry Approach to Digital Image Contour Extraction : Lecture Notes in Computer Science . Transactions on Computational Science , XIII , 13-43. Qi, X., Xin, X., (2011). A Quantization-Based Semi-Fragile Watermarking Scheme for Image Content Authentication . Journal of Visual Communication and Image Representation , 22 , 187-200. Alvarez, M.A, Qi, X., Yan, C., Wong, W., Liu, W., Bennamoun, M., (2011). Go-Based Term Semantic Similarity : Ontology Learning and Knowledge Discovery Using the Web: Challenges and Recent Advances . Ontology Learning and Knowledge Discovery Using the Web: Challenges and Recent Advances , 174-185. Qi, X., Barrett, S., Chang, R., (2011). A Noise-Resilient Collaborative Learning Approach to Content-Based Image Retrieval . International Journal of Intelligent Systems , 26 , 1153-1175. Alvarez, M., Qi, X., Yan, C., (2011). A Shortest Path Graph Kernel for Estimating Gene Product Semantic Similarity . Journal of Biomedical Semantics Qi, X., Qi, J., (2009). A Desynchronization Resilient Watermarking Scheme . LNCS Transactions on Data Hiding and Multimedia Security Qi, X., Ebert, J., (2009). Computer Vision-Based Fire Detection in Color Videos . International Journal of Imaging , 2 :S09 , 22-34. Qi, X., Qi, J., (2008). A Robust DCT-Based Digital Watermarking Scheme Using Feature Points . Journal of Electronics and Computer Science , 10 :1 , 109-123. Wong, K., Qi, X., Tanaka, K., (2007). A DCT-Based Mod4 Steganographic Method . Signal Processing , 87 :6 , 1251-1263. Qi, X., Qi, J., (2007). A Robust Content-Based Digital Image Watermarking Scheme . Signal Processing , 87 :6 , 1264-1280. Qi, X., Han, Y., (2007). Incorporating Multiple SVMs for Automatic Image Annotation . Pattern Recognition , 40 :2 , 728-741. Qi, X., Qi, J., Wu, Y., (2007). RootLM: A Simple Color Image Analysis Program for Root Length Measurement in Arabidopsis . Plant Root , 1 , 10-16. Qi, X., Han, Y., (2005). A Novel Fusion Approach to Content-Based Image Retrieval . Pattern Recognition , 38 :12 , 2449-2465. Qi, X., Tyler, J.M, (2005). A Progressive Transmission Capable Diagnostically Lossless Compression Scheme for 3-D Medical Image Sets . Information Sciences , 175 :3 , 217-243. Qi, X., Yin, , Li, , Wang, , (1997). Research and Implementation of An Open Distributed Processing System in CIMS . Chinese Journal of Computer Integrated Manufacturing Systems (CIMS) , 3 :3 , 42-46. * Has not been peer reviewed . Publications - Literary Journal * Has not been peer reviewed . Publications - MultiMedia * Has not been peer reviewed . Publications - Technical Reports Other Reports Qi, X., Cooley, D.H, (2007). REU Site Program in Computer Vision and Image Processing . Computer Science Department, Computer Vision and Image Processing Laboratory * Qi, X., (2007). An Inexpensive Assistive Eyegaze Communication System for Physically Disabled Individuals . Computer Science Department, Computer Vision and Image Processing Laboratory Qi, X., Cooley, D.H, (2006). REU Site Program in Computer Vision and Image Processing . Computer Science Department, Computer Vision and Image Processing Laboratory * Qi, X., Cannon, S.R, Jones, C., (2006). A Simulation Tool for Task Graph Based Scheduling Algorithms . Computer Science Department, Space Software Laboratory Qi, X., Kulyukin, V.A, (2006). A Vision-Based Assisted Navigation System for the Visually Impaired Wheelchair Users . Computer Science Department, Computer Vision and Image Processing Laboratory Qi, X., Cannon, S.R, Mayne, M., (2005). An Enhanced Network Architecture Simulator for Flight Systems . Computer Science Department, Space Software Laboratory Qi, X., Cooley, D.H, (2005). REU Site Program in Computer Vision and Image Processing . Computer Science Department, Computer Vision and Image Processing Laboratory Qi, X., Cannon, S.R, Mayne, M., Hospodarsky, T., (2004). A Network Architecture Simulator for Flight Systems . Computer Science Department, Space Software Laboratory Qi, X., (2004). A Progressive Lossless Codec for Medical Image Sets . Computer Science Department, Computer Vision and Image Processing Laboratory * Has not been peer reviewed . Publications - Translations & Transcripts . Publications - Other * Has not been peer reviewed . Scheduled Teaching CS 5680, 6680 - Computer Vision: Foundations and Applications, Fall 2018 CS 6900 - Seminar, Fall 2018 CS 5680 - Computer Vision: Foundations and Applications, Fall 2017 CS 6680 - Computer Vision: Foundations and Applications, Fall 2017 CS 6900 - Seminar, Fall 2017 CS 7680 - Advanced Computer Vision, Spring 2017 CS 5680, 6680 - Computer Vision: Foundations and Applications, Fall 2016 CS 2420 - Algorithms and Data Structures--CS 3, Spring 2016 2 CS 2420 - Algorithms and Data Structures--CS 3, Spring 2016 CS 5650 - CVPRIP I: Computer Vision, Pattern Recognition, and Image Processing, Fall 2015 CS 7680 - Advanced Computer Vision, Spring 2015 CS 1410 - Introduction to Computer Science--CS 2, Spring 2015 CS 5650 - CVPRIP I: Computer Vision, Pattern Recognition, and Image Processing, Fall 2014 CS 1410 - Introduction to Computer Science--CS 2, Spring 2014 2 CS 1410 - Introduction to Computer Science--CS 2, Spring 2014 CS 5650 - CVPRIP I: Computer Vision, Pattern Recognition, and Image Processing, Fall 2013 CS 7680 - Advanced Computer Vision, Spring 2013 CS 1410 - Introduction to Computer Science--CS 2, Spring 2013 CS 5650 - CVPRIP I: Computer Vision, Pattern Recognition, and Image Processing, Fall 2011 CS 1410 - Introduction to Computer Science--CS 2, Fall 2011 CS 5650 - CVPRIP I: Computer Vision, Pattern Recognition, and Image Processing, Fall 2010 Full Teaching History . Graduate Students Mentored Qiuxiao Chen, Computer Science, August 2018 Zachary Case, Computer Science, October 2017 Meng Xu, Computer Science, August 2017 Brendan Robeson, Computer Science, August 2016 Mohammadreza Javanmardi, Computer Science, January 2016 Amir Hossein Farzaneh, Computer Science, August 2015 Kamna Yadav, Computer Science, October 2016 - August 2018 Yaswanth Kodavali, Computer Science, May 2015 - April 2017 Chong Li, Computer Science, August 2014 - April 2017 Liang Peng, Computer Science, September 2012 - February 2017 Robert Buck, Computer Science, August 2014 - December 2015 Mohammadreza Faraji, Computer Science, July 2012 - April 2015 Zhongmiao Xiao, Computer Science, August 2009 - December 2014 Ran Chang, Computer Science, August 2006 - December 2013 Swathi Rajashekar, Computer Science, September 2011 - April 2012 Jiyuan Wang, Computer Science, January 2010 - April 2012 Marco Alvarez Vega, Computer Science, August 2009 - November 2011 Beijie Xu, September 2009 - April 2011 Xing Xin, Computer Science, August 2008 - April 2010 Benjamin Banham, August 2006 - June 2008 Daniel Lewis, Computer Science, August 2005 - May 2007 Seth Call, August 2004 - April 2006 Yinbing Ge, Computer Science, August 2003 - March 2006 Hongxing Zheng, Computer Science, August 2004 - January 2006 Yutao Han, Computer Science, September 2002 - November 2005 Ji Qi, Computer Science, August 2002 - November 2005 KokSheik Wong, Computer Science, August 2003 - August 2005 Jared Alger, Computer Science, August 2003 - April 2005 Kenneth Jensen, Computer Science, August 2003 - April 2005 . diff --git a/src/data/compiled_bios/3436.txt b/src/data/compiled_bios/3436.txt new file mode 100644 index 0000000000..d39045cf6f --- /dev/null +++ b/src/data/compiled_bios/3436.txt @@ -0,0 +1 @@ + Faculty | Computer Science Haitao Wang Computer Science Associate Professor Contact Information Office Location: Old Main 402F Icon Phone: 435-797-2416 Icon Email: Haitao.Wang@usu.edu Website Educational Background: PhD , Computer Science, University of Notre Dame, 2010 MS , Computer Science, Fudan University, 2006 BS , Mathematics, East China University of Science and Technology, 2003 Emphasis Computational Geometry, Algorithms and Data Structures, Theoretical Computer Science : diff --git a/src/data/compiled_bios/3437.txt b/src/data/compiled_bios/3437.txt new file mode 100644 index 0000000000..a2f55459c8 --- /dev/null +++ b/src/data/compiled_bios/3437.txt @@ -0,0 +1 @@ + Faculty | Computer Science Dan Watson Computer Science Associate Professor Contact Information Office Location: Old Main 402B Icon Phone: 435-797-2440 Icon Email: dan.watson@usu.edu Website Educational Background: PhD, Electrical Engineering, Purdue University, 1993 MS, Electrical Engineering, Purdue University, 1988 BS, Electrical Engineering, Tennessee Tech, 1985 Emphasis Algorithms for Massive Parallel Processors, Parallel Systems : diff --git a/src/data/compiled_bios/3438.txt b/src/data/compiled_bios/3438.txt new file mode 100644 index 0000000000..863175b428 --- /dev/null +++ b/src/data/compiled_bios/3438.txt @@ -0,0 +1 @@ +search this siteantonio bianchi uiowamenuhomepublicationsteachingcs:4980 spring 2019 operating systemscs:3620 fall 2018 operating systemsantonio bianchi uiowahomepublicationsteachingcs:4980 spring 2019 operating systemscs:3620 fall 2018 operating systemsmorehomepublicationsteachingcs:4980 spring 2019 operating systemscs:3620 fall 2018 operating systemsantonio bianchiintroi am an assistant professor at the university of iowa in the computer science department.before joining the university of iowa, i was a ph.d. student in computer science at university of california, santa barbara, advised by professor giovanni vigna and professor christopher kruegel. before starting my ph.d., i received a master degree in computer engineering from politecnico di milano and a master degree in computer science from university of illinois at chicago.you can contact me at: antonio-bianchi@uiowa.educurriculum vitaepublicationsgoogle scholarresearch interestsmy research interest lies in the area of computer security. my primary focus is in the field of security of mobile devices.in particular, i am interested in identifying novel security issues in these devices and applying both static and dynamic analysis techniques to detect vulnerable and malicious mobile apps automatically. i am also interested in developing new methods to analyze compiled binary code.more recently, i started exploring the security issues posed by iot devices and their interaction with mobile applications.as a core member of the shellphish team, i played and organized many security competitions (typically called ctf), and i won the third place at the darpa cyber grand challenge.made with the new google sites, an effortless way to create beautiful sites.create a sitereport abuse diff --git a/src/data/compiled_bios/3439.txt b/src/data/compiled_bios/3439.txt new file mode 100644 index 0000000000..34c7bf30f8 --- /dev/null +++ b/src/data/compiled_bios/3439.txt @@ -0,0 +1 @@ +octav chiparasearch this site homepapersresearchstudentsteachingservice home assistant professor department of computer science university of iowa part of the aging mind and brain initiative the university of iowa 14 maclean hall iowa city, ia 52242-1419 tel: 319-335-0561 fax: 319-335-3624 quick links: for prospective students mobile systems laboratory systems seminar @ university of iowa github @ university of iowa iowa city weather stats news:11/12/18: [award] nsf awarded our grant "collaborative research: a framework for optimizing hearing aids in situ based on patient feedback, auditory context, and audiologist input" 09/05/18: [publication] our paper "efficacy and effectiveness of advanced hearing aid directional and noise reduction technologies for older adults with mild to moderate hearing loss" will appear in "ear and hearing"09/05/18: [publication] our paper "a flexible retransmission policy for industrial wireless sensor-actuator networks" was accepted at icii 201803/01/18: [publication] our paper "workload shaping energy optimizations with predictable performance for mobile sensing" was accepted at iotdi 201803/01/18: [award] my nsf career proposal -- software adaptation and synthesis techniques for internet of things systems -- was awarded08/29/17: [software release] the board design and source code for phaser (our platform for directional communication) are now publically available08/01/17: submitted paper to infocom 08/01/17: [publication] characteristics of real-world signal-to-noise ratios and speech listening situations of older adults with mild-to-moderate hearing loss was accepted in ear and hearing08/01/17: [publication] phaser: a phase-shifting antenna for low-power directional communication was accepted at dcoss02/27/17: [publication] assessing the performance of hearing aids using surveys and audio data collected in situ was accepted at misenet (infocom2017 workshop)02/27/17: [demo] demo: directional antenna platform for low power wireless networks was presented at ewsn201701/17/17: [publication] rewimo: a real-time and reliable low-power wireless mobile network was accepted at tosn10/25/16: [presentation] power management for mobile sensing applications and measuring hearing aid performance using mobile phones invited talk, ucsd10/11/16: [presentation] power management for mobile sensing applications, invited talk, michigan state university09/12/16: [service] accepted to serve on the tpc of ewsn 2017, iotdi 2017, icccn 2017, nextmote 2017, icdcs 201708/22/16: [presentation] measuring hearing aid performance using mobile phones, invited talk, department of biochemistry, university of iowa02/25/16: [presentation] power management for mobile sensing applications, invited talk, precise seminar, university of pennsylvania 12/12/15: [award] our paper managing the energy-delay tradeoff in mobile applications with tempus won the best paper award at middleware 201512/12/15: [publication] mobility-aware real-time scheduling for low-power wireless networks was accepted at infocom 2016. sign in|report abuse|print page|powered by google sites diff --git a/src/data/compiled_bios/344.txt b/src/data/compiled_bios/344.txt new file mode 100644 index 0000000000..a4cbc608ce --- /dev/null +++ b/src/data/compiled_bios/344.txt @@ -0,0 +1 @@ +Name: Fishwick, Paul:: Position: Professor of Computer Science,:: Degrees: Ph.D., Computer and Information Science, University of Pennsylvania, 1986; M.S., Applied Science, College of William and Mary, 1983; B.S., Mathematics, Pennsylvania State University, 1977; Research Interests: Computer Simulation and Modeling; Discrete Event Modeling Methodology; Aesthetic Computing; Computer Science Education; Multimedia; Major Honors and Awards: Fellow, Society for Computer Simulation International (SCSI), 1998; Delivered 19 international Keynote addresses during career; Elected to journal editorial boards: ACM Trans. On Modeling and Computer Simulation, ACM Computing Surveys, SCS Transactions on Simulation, Journal of Simulation; Florida Blue Key Distinguished Professor Award, 2008; Distinguished and Outstanding Service Awards for chairing the 2000 Winter Simulation (WSC) Conference from ACM, SCS, and WSC, 2000; RepresentativePublications: Fishwick, P., Sally Brailsford, Simon J. E. Taylor, Andreas Tolk, and Adelinde Uhrmacher. Modeling for Everyone: Emphasizing the Role of Modeling in STEM Education, Eds, A. Tolk, S. Y. Diallo, I. O. Ryzhov, L. Yilmaz, S. Buckley, and J. A. Miller. Proceedings of the 2014 Winter Simulation Conference, Savannah, GA. December 2014.; Doore, K. and Fishwick, P. Prototyping an Analog Computing Representation of Predator-Prey Dynamics, Eds, A. Tolk, S. Y. Diallo, I. O. Ryzhov, L. Yilmaz, S. Buckley, and J. A. Miller. Proceedings of the 2014 Winter Simulation Conference, Savannah, GA. December 2014.; Howell, M., D. Vega, K. Doore, and P. Fishwick, Prototyping an Analog Computing Representation of Predator-Prey Dynamics, Eds, A. Tolk, S. Y. Diallo, I. O. Ryzhov, L. Yilmaz, S. Buckley, and J. A. Miller. Proceedings of the 2014 Winter Simulation Conference, Savannah, GA. December 2014.; Fishwick, P. Computing as Model-Based Empirical Science, Proceedings of the SIGSIM-PADS 14 Conference, Denver, CO. pp. 205-212.; Coffey, A. J., Kamhawi, R., Fishwick, P. and Henderson, J. New Media Environments Comparative Effects upon Cultural Sensitivity: A Five-Dimensional Analysis, Journal of Intercultural Relations, 37: 605-627, 2013.; diff --git a/src/data/compiled_bios/3440.txt b/src/data/compiled_bios/3440.txt new file mode 100644 index 0000000000..7e6513f520 --- /dev/null +++ b/src/data/compiled_bios/3440.txt @@ -0,0 +1 @@ +toggle navigation home publications teaching projects omar haider chowdhury assistant professor department of computer science the university of iowa omar-chowdhury@uiowa.edu 319-335-0745 1408 seamans center about me i am an assistant professor of computer science at the university of iowa. i lead the computational logic center (clc) along with my colleagues aaron stump and cesare tinelli. i am also involved with the iowa informatics initiative. before joining the university of iowa, i was a post-doctoral research associate at cylab, carnegie mellon university (host: prof. anupam datta) and purdue university (host: prof. ninghui li). i received my ph.d. in computer science from the university of texas at san antonio under the supervision of prof. jianwei niu and prof. william h. winsborough (deceased). i received my undergraduate education in computer science and engineering (cse) at the bangladesh university of engineering and technology (buet). research my research interest lies in computer security and privacy. broadly, i am interested in applying techniques from formal verification and runtime monitoring in achieving provable security and privacy assurances of modern systems and protocols. i am also interested in applying formal verification and software engineering techniques to automatically detect functional bugs in network protocols and safety-critical cyber-physical and iot systems. news our paper titled "privacy attacks to the 4g and 5g cellular paging protocols using side channel information" has been accepted at the network and distributed system security symposium (ndss) 2019. congratulations syed rafiul hussain and mitziu echeverria. our findings have been acknowledged by gsma. our paper titled "analyzing semantic correctness using symbolic execution: a case study on pkcs#1 v1.5 signature verification" has been accepted at the network and distributed system security symposium (ndss) 2019. congratulations sze yiu chau and moosa yahyazadeh. cves assigned to some of the bugs we found in implementations of rsa signature verification: cve-2018-15836 (openswan) cve-2018-16151 (strongswan) cve-2018-16152 (strongswan) cve-2018-16253 (axtls embedded ssl) cve-2018-16150 (axtls embedded ssl) cve-2018-16149 (axtls embedded ssl) our paper titled "why johnny cant make money with his contents: pitfalls of designing and implementing content delivery apps" has been accepted at the annual computer security applications conference (acsac) 2018. congratulations sze yiu chau and bincheng wang. our work on lte was mentioned in articles at the new york times and forbes. our project titled "verdict: verification evidence & resilient design in anticipation of cybersecurity threats" has been funded under the darpa case program (in collaboration with cesare tinelli and ge global research). thanks darpa. our paper titled "adaptive deterrence of dns cache poisoning" has been accepted at the 14th eai international conference on security and privacy in communication networks (securecomm 2018). our ndss 2018 paper on 4g lte has been invited to be presented at the 2018 qualcomm mobile security summit. our ndss 2018 paper on 4g lte has been highlighted at the acm tech news. our ndss 2018 paper titled "lteinspector : a systematic approach for adversarial testing of 4g lte" has been showcased in the technology media. our paper titled "lteinspector : a systematic approach for adversarial testing of 4g lte" (accepted at the network and distributed system security symposium (ndss) 2018) has received positive feedback. pc: acm sacmat 2018; pst 2018; ieee s&p 2019 [reported bugs in ssl/tls libraries:] cve-2017-1000415; cve-2017-1000416; cve-2017-1000417 our paper titled "lteinspector : a systematic approach for adversarial testing of 4g lte" has been accepted at the network and distributed system security symposium (ndss) 2018. congratulations syed rafiul hussain and shagufta mehnaz. our "symcerts" paper has been selected as a csaw north america finalist for the applied research competition. congratulations sze yiu chau and endadul hoque. our paper titled "analyzing operational behavior of stateful protocol implementations for detecting semantic bugs" has been accepted at ieee/ifip international conference on dependable systems and networks (dsn) 2017. congratulations sze yiu chau and endadul hoque. our paper titled "symcerts: practical symbolic execution for exposing noncompliance in x.509 certificate validation implementations" has been accepted at ieee s&p 2017. congratulations sze yiu chau and endadul hoque. project on the development of a compliant internet pki has been funded under nsf satc crii program. thanks nsf. unabridged award abstract may be found here. contributed to an article in the daily iowan. i have been invited to join the ccs 2017, pst 2017, wpes 2017 pc. [bugs] we tested matrixssl v3.7.2 for rfc compliance and other vulnerabilities. the developers of matrixssl acknowledged our findings of a collision-prone oid comparison, and ineffective expiration date checks. all of these have been fixed in newer versions. [bugs] we tested axtls 1.5.3 for rfc compliance and other vulnerabilities. the developers of axtls acknowledged our findings of certain attributes of distinguished names being ignored, certificates with unrecognised extensions are not being rejected, hhmmss of utctime being ignored, not processing any extensions (they added support for 3 extension: subject alternative name, basic constraints and key usage, in commit r273 and commit r274), and an off-by-one error in interpreting the year of utctime. fixes have been implemented or being implemented in future revision. fall 2016: joined the university of iowa as an assistant professor of computer science. summer 2016: two papers accepted in ccs 2016. students yahyazadeh moosa (ph.d. student) mitziu echeverria (ph.d. student) joyanta debnath (mcs student) bincheng wang (undergraduate student) selected publications privacy attacks to the 4g and 5g cellular paging protocols using side channel information new with hussain, syed rafiul (purdue university); echeverria, mitziu (the university of iowa); li, ninghui (purdue university); bertino, elisa (purdue university) to appear in proceedings of the network and distributed system security symposium (ndss 2019). analyzing semantic correctness using symbolic execution: a case study on pkcs#1 v1.5 signature verification new with chau, sze yiu (purdue university); yahyazadeh, moosa (the university of iowa); kate, aniket (purdue university); li, ninghui (purdue university) to appear in proceedings of the network and distributed system security symposium (ndss 2019). cves assigned to some of the bugs we found in implementations of rsa signature verification: cve-2018-15836 (openswan) cve-2018-16151 (strongswan) cve-2018-16152 (strongswan) cve-2018-16253 (axtls embedded ssl) cve-2018-16150 (axtls embedded ssl) cve-2018-16149 (axtls embedded ssl) why johnny cant make money with his contents: pitfalls of designing and implementing content delivery apps new with chau, sze yiu (purdue university); wang, bincheng (the university of iowa); wang, jianxiong (purdue university); kate, aniket (purdue university); li, ninghui (purdue university) to appear in proceedings of the annual computer security applications conference (acsac 2018). adaptive deterrence of dns cache poisoning with chau, sze yiu (purdue university); gonsalves, victor (purdue university); ge, huangyi (purdue university); yang, weining (google inc.); fahmy, sonia (purdue university); li, ninghui (purdue university) appeared in proceedings of the 14th eai international conference on security and privacy in communication networks (securecomm 2018). lteinspector : a systematic approach for adversarial testing of 4g lte with syed rafiul hussain (purdue university), shagufta mehnaz (purdue university), and elisa bertino (purdue university) appeared in proceedings of the network and distributed system security symposium (ndss 2018) . video of the presentation and slides analyzing operational behavior of stateful protocol implementations for detecting semantic bugs with endadul hoque (purdue university), sze yiu chau (purdue university), cristina nita-rotaru (northeastern university), and ninghui li (purdue university) appeared in proceedings of the 47th ieee/ifip international conference on dependable systems and networks (dsn 2017) . symcerts: practical symbolic execution for exposing noncompliance in x.509 certificate validation implementations with sze yiu chau (purdue university), endadul hoque (purdue university), huangyi ge (purdue university), aniket kate (purdue university), cristina nita-rotaru (northeastern university), and ninghui li (purdue university) appeared in proceedings of the 38th ieee symposium on security and privacy (s&p 2017). video of the presentation errata cves assigned to some of the bugs we found in various ssl/tls libraries: cve-2017-1000415 (matrixssl) cve-2017-1000416 (axtls embedded ssl) cve-2017-1000417 (matrixssl) an empirical study of mnemonic sentence-based password generation strategies with weining yang, ninghui li, aiping xiong, and robert proctor appeared in the proceeding of 23rd acm conference on computer and communications security (ccs), 2016. on the security and usability of segment-based visual cryptographic authentication protocols with tianhao wang, huangyi ge, hemanta k. maji, and ninghui li appeared in the proceeding of 23rd acm conference on computer and communications security (ccs), 2016. equivalence-based security for querying encrypted databases: theory and application to privacy policy audits with deepak garg, limin jia, and anupam datta appeared in the proceeding of 22nd acm conference on computer and communications security (ccs), 2015. temporal mode-checking for runtime monitoring of privacy policies with limin jia, deepak garg, and anupam datta appeared in the proceedings of 26th international conference on computer aided verification (cav), 2014. diff --git a/src/data/compiled_bios/3441.txt b/src/data/compiled_bios/3441.txt new file mode 100644 index 0000000000..abe7149bdc --- /dev/null +++ b/src/data/compiled_bios/3441.txt @@ -0,0 +1 @@ +lavinia ciungu Lecturer; with Mathematics lavinia-ciungu@uiowa.edu Office: 1N MLH Office Hours: By appointment Telephone: 335-0764 diff --git a/src/data/compiled_bios/3442.txt b/src/data/compiled_bios/3442.txt new file mode 100644 index 0000000000..5e9c410346 --- /dev/null +++ b/src/data/compiled_bios/3442.txt @@ -0,0 +1 @@ +james f. cremer professor 101p maclean hall computer science department the university of iowa iowa city, ia 52242 (319) 321-1893 email: james-cremer@uiowa.edu cv (2016) (circa 1996 :)) department chair, 2002-2010 phd, cornell, 1989 bs, cornell, 1982 co-founder, tutor universe, inc., 2011 (now gotit!) co-founder, cto, digital artefacts, llc, 2000-2009 research interests: sensor-based and mobile apps for healthcare, virtual environments, simulation, integration of numeric and symbolic computing, geometric modeling, problem solving environments. papers/publications research projects selected publications polgreen l, et al. more than just a game? a randomized controlled trial of pokmon go on physical activity. 38th society for behavioral medicine, 2017 using computer vision and depth sensing to measure healthcare worker-patient contacts and personal protective equipment \ adherence within hospital rooms. j. chen, j. cremer, k. zarei, a. segre, and p. polgreen. open forum infectious diseases. 3(1), 2016, doi: 10.1093/ofid/ofv200 a mobile phone application for recording vaccine refusals. d. murphy, j. cremer, and p. polgreen. poster. international meeting on emerging diseases and surveillance 2013 (imed 2013), feb. 15-18, vienna, austria. a mobile phone application for pertussis classification based on machine learning. m. adamczyk, d. parker, o. chipara, j. cremer, j. picone, a. harati, p. polgreen. poster. international meeting on emerging diseases and surveillance 2013 (imed 2013), feb. 15-18, vienna, austria. manipulating perception versus action in recalibration tasks. c. ziemer, m. branson, b. chihak, j. kearney, j. cremer, and j. plumert. provisionally accepted for attention, perception and psychophysics, 2013. perceiving and acting on complex affordances: how children and adults bicycle across two lanes of opposing traffic. t. grechkin, b. chihak, j. cremer, j. kearney, and j. plumert. online first publication, august 27, 2012. doi: 10.1037/a0029716. journal of experimental psychology; human perception and performance, 39(1), 2013, p. 23-36. how do scale changes affect distance perception in virtual environments. t. nguyen, c. ziemer, t. grechkin, b. chihak, j. plumert, j. cremer, and j. kearney. acm transactions on applied perception of applied perception in graphics and visualization, 8(4), 26:1--18, 2011 effects of scene density and richness on traveled distance estimation in virtual environments. t. nguyen, j. cremer, j. kearney, and j. plumert. proc. of the 8th acm siggraph symp. on applied perception in graphics and visualization (apgv11), toulouse, france, aug. 27-28, 2011 spam detection in online classified advertisements. h. tran, t. hornbeck, v. ha-thuc, j. cremer, and p. srinivasan. in proceedings of the 2011 joint wicow/airweb workshop on web quality (webquality '11). acm, new york, p. 35-41. facilitating content creation and content research in building the ``city of lit'' digital library. h. hsieh, b. draxler, n. dudley, j. cremer, l. haldeman, d. nguyen, p. likarish and j. winet. submitted to acm/ieee joint conference on digital libraries, 2011. changes in children's perception-action tuning over short time scales: bicycling across traffic-filled intersections in a virtual environment. j. plumert, j. kearney, j. cremer, k. recker, and j. strutt. journal of experimental child psychology, 108, 2011, p322-337. an immersive virtual peer for studying social influences on child road-crossing behavior. s. babu, t. grechkin, b. chihak, c. ziemer, j. kearney, j. cremer, and j. plumert. ieee transactions on visualization and computer graphics, 17(1), 2011 p.14-25. how does presentation method and measurement protocol affect distance estimation in real and virtual environments? t. grechkin, t. nguyen, c. ziemer, j. cremer, j. plumert, and j. kearney. acm transactions on applied perception, of applied perception in graphics and visualization, 7(4), 2010, p.1-18. effects of scale change on distance perception in virtual environments. t. nguyen, c. ziemer, j. plumert, j. cremer, and j. kearney. to appear in proceedings of the 6th symposium on applied perception in graphics and visualization (apgv09), crete, sept. 30-oct. 2, 2009. estimating distance in real and virtual environments: does order make a difference? c. ziemer, j. plumert, j. cremer, and j. kearney, k. attention, perception, and psychophysics, 71, 2009. p1095-1106. a virtual peer for studying peer influence in children's bicycling. s. babu, t. grechkin, c. ziemer, b. chihak, j. cremer, j. kearney, and j. plumert, to appear in proc. ieee vr 2009, lafayette, la, march 14-18, 2009. how do bicyclists intercept moving gaps in a virtual environment? b. chihak, s. babu, t. grechkin, c. ziemer, j. cremer, j. kearney, and j. plumert. proceedings of the 5th symposium on applied perception in graphics and visualization (apgv08), los angeles, august 9-10, 2008, p.188. how does traffic density influence cyclists' gap choices? j. plumert, j. kearney, and j. cremer, short paper and poster at international conference on road safety and simulation (rss2007), rome, italy, nov. 7-9, 2007. how does 2-way traffic impact children's road crossing behavior in a virtual environment. c. ziemer, j. plumert, b. chihak, j. cremer, and j. kearney. biennial meeting of the cognitive development society, santa fe, new mexico, october, 2007. children's road crossing: a window into perceptual-motor development. j. plumert, j. kearney, and j. cremer, current directions in psychological science, (16)5, october, 2007, p. 255-258. making distance judgments in real and virtual environments: does order make a difference? c. ziemer, j. plumert, j. cremer, and j. kearney, poster in proceedings of 2006 symposium on applied perception in graphics and visualization (apgv06), boston, july 28-29. steering behaviors for autonomous vehicles in virtual environments. h. wang, j. kearney, j. cremer, and p. willemsen, proceedings of ieee vr 2005, bonn,germany, march 12-16, 2005, p. 155-162. distance perception in real and virtual environments. j. plumert, j. kearney, j. cremer, and k. koson, acm transactions on applied perception, 2005 (extension of apgv04 paper), 2(3), p. 286-308. distance perception in real and virtual environments, j. plumert, j. kearney, and j. cremer, proceedings of the first symposium on applied perception in graphics and visualization (apgv '04), aug. 7-8, 2004, los angeles. "children's perception of affordances: bicycling across traffic-filled intersections in an immersive virtual environment," j. plumert, j. kearney, and j. cremer, child development, 75(4), 2004. "sound modeling in a pc-based virtual bicycling and driving environment," s. jezewski, j. cremer, and j. kearney. 2004 image society conference, phoenix, arizona, july 12-16, 2004. "steering autonomous driving agents through intersections in virtual urban environments," h. wang, j. kearney, j. cremer, and p. willemsen, proceedings of international conference on modeling, simulation and visualization methods, las vegas, nevada, june 2004. "an abstract virtual environment tool to assess decision-making in impaired drivers," m. rizzo, j. severson, j. cremer, and k. price. proceedings of the second international driving symposium on human factors in driver assessment, training and vehicle design. park city, utah, july 21-24, 2003, p. 40-47 "exploring virtual history at the national museum of american history," j. severson, j. cremer, k. lee, d. allison, s. gelo, j. edwards, r. vanderleest, s. heston, j. kearney, g. thomas. proceedings of the 8th intl. conf. on virtual systems and multimedia (vsmm2002), gyeong-ju, korea. september 25-27, 2002. p. 61-70. real-time extendible-resolution display of on-line dynamic terrain. y. he, j. cremer, and y. papelis, to appear in proceedings of graphics interface 2002, may 27-29, calgary, alberta. refiner: a problem solving environment for scientific simulator creation. k. hunt and j. cremer. to appeaer in transactions of the society for computer simulation. "this old digital city" one year later: experience gained, lessons learned, and future plans. j. cremer, j. severson, s. gelo, j. kearney, m. mcdermott. proceedings of the 7th intl. conf. on virtual systems and multimedia (vsmm2001), berkeley, california, october 25-27, 2001. p. 49-56. this old digital city": virtual historical cedar rapids, iowa circa 1900 j. cremer, j. severson, j. kearney, s. gelo, m. mcdermott, and r. riccio. proceedings of the 6th intl. conf. on virtual systems and multimedia (vsmm2000), special session on virtual heritage. softopia, ogaki, gifu, japan. october 2000. pages 27-34. dynamic terrain for real-time ground vehicle simulation. j. cremer, y. he, y. papelis. proceedings of the 2000 image conference, scottsdale, az, july 2000. geometric awareness for interactive object manipulation m. choi, j. cremer. computer graphics forum, 19(1), p. 65-76, 2000 interactive manipulation of articulated objects with geometry awareness. m. choi, j. cremer. proceedings of the 1999 ieee international conference on robotics and automation, detroit, mi, may 10-15, 1999. virtual proving ground simulation for vehicle design. e. haug, j. cremer, y. papelis, r. ranganathan, d. solis. proceedings (cd-rom) of the 1998 asme design automation conference, atlanta, september 13-16, 1998. generation of ambient traffic for real-time driving simulation. e. bonakdarian, j. cremer, j. kearney, and p. willemsen, proceedings of 1998 image conference, scottsdale, az, august 2-7, 1998. embedding scenarios in ambient traffic. o. alloyer, e. bonakdarian, j. cremer, j. kearney, and p. willemsen, proceedings of dsc 97 (driving simulation conference), p. 75--84, lyon, france, september, 1997. directable behavior models for virtual driving scenarios. j. cremer, j.k. kearney, and p. willemsen, transactions of the society for computer simulation, special issue on multiagent systems, 14(2), 1997. creating scientific software. j. cremer, r. palmer, and r. zippel, transactions of the society for computer simulation, 14(1), p. 17--49, 1997. driving simulation: challenges for vr technology j. cremer, j. kearney, y. papelis vr blackboard column (ed. l. rosenblum) in ieee computer graphics and applications, p. 16-20, september 1996. vrloco: real-time human locomotion from positional input streams h. ko and j. cremer presence: teleoperations and virtual environments, 5(4), p. 1-15, 1996. formulating 3d contact dynamics problems m. anitescu, j. cremer, and f. potra, mechanics of structures and machines, 24(4), p. 405-437, november 1996 on the existence of solutions to complementarity formulations of contact problems with friction. m. anitescu, j. cremer, and f. potra. complementarity and variational problems: state-of-the-art (proceedings of the international conference on complementarity problems, nov. 1-4, 1995, baltimore), siam, p. 12-21, 1996. hcsm: a framework for behavior and scenario control in virtual environments. j. cremer, j. kearney, and y. papelis. acm transactions of modeling and computer simulation, 5(3), p. 242--267, july, 1995. isaac: building simulations for virtual environments j. cremer and g. vanecek. proceedings of the ifip tc 5 wg 5.10 international workshop on virtual environments, october, 1994, coimbra, portugal. motion control through communicating, hierarchical state machines s. hansen, j. kearney, and j. cremer. proceedings of fifth eurographics animation and simulation workshop, oslo, sept. 1994. scenario control for virtual environments j. cremer and j. kearney. proc. image vii conference, tucson, az, june 12-17, 1994. (note: file is compressed postscript) the software architecture for scenario control in the iowa driving simulator. j. cremer and j. kearney and y. papelis and r. romano. proc. 4th computer generated forces and behavioral representation conference, orlando, fl, may 4-6, 1994. scenario control for real-time driving simulation m. booth and j. cremer and j. kearney. proceedings of fourth eurographics animation and simulation workshop, barcelona, sept. 1993, 103-120. experiment authoring for virtual driving environments. m. bartelme and m. booth and j. cremer and d. evans and j. kearney and r. romano. proceedings of the first eurographics workshop on virtual environments, , barcelona, sept. 1993, 1-15. programming mechanical simulations. j. kearney and s. hansen and j. cremer in the journal of visualization and computer animation, volume 4, number 2, april-june 1993, pages 113--129. generating spectral methods for partial differential equations. g. berkooz and p. chew and r. palmer and r. zipel. cornell computer science department technical report, tr92--1308, this work is also in the proceedings of the workshop on intelligent scientific computation, part of the aaai fall symposium series, october 1992, boston, ma simlab: automatically creating physical systems simulators r. palmer and j.cremer. in automated modeling, the proceedings of the automated modeling workshop of the 1992 asme winter annual meeting, november 1992. an architecture of general-purpose physical system simulation --- integrating geometry, dynamics and control. ph.d. thesis, tr 89-987, department of computer science, cornell univeristy, april 1989. the architecture of newton, a general-purpose dynamics simulator. j. cremer and a. j. stewart ieee international conference on robotics and automation, 1806-1811, 1989. research projects: computational epidemiology research at ui hank, our immersive virtual bicycling and driving simulator for use in studying human behavior and ve validation. the iowa city unesco city of literature project mobile app (free download from itunes store) virtual historical environments this old digital city. officially called timequest, the project created a real-time immersive virtual historical environment in which visitors to cedar rapids' history center can explore the city as it was 100 years ago. an variant of the exhibit was on display at the smithsonian's national museum of american history in summer 2002. the national advanced driving simulator and simulation center: dynamic terrain for real-time off-road ground vehicle simulation, database modeling, and scenario control iowa driving simulator (no longer operational, as of 1/00) scenario control and experiment authoring for real-time operator-in-the-loop virtual environments. work in cooperation with iowa's center for computer aided design. programming environments for development of physical systems simulators. originally had close ties to larger-scope simlab project at cornell university: simlab project at cornell. diff --git a/src/data/compiled_bios/3443.txt b/src/data/compiled_bios/3443.txt new file mode 100644 index 0000000000..60cce8b853 --- /dev/null +++ b/src/data/compiled_bios/3443.txt @@ -0,0 +1 @@ +ins zigrino curto, phd department of computer science, university of iowa ines-curto@uiowa.edu courses ... please see canvas diff --git a/src/data/compiled_bios/3444.txt b/src/data/compiled_bios/3444.txt new file mode 100644 index 0000000000..57f214c159 --- /dev/null +++ b/src/data/compiled_bios/3444.txt @@ -0,0 +1 @@ +sukumar ghosh professor department of computer science 201p maclean hall the university of iowa iowa city, ia 52242-1419, usa firstname-lastname at uiowa dot edu phone: (319)335-0738, fax: (319) 335-3624 research areas of interest the scale and complexity of distributed systems are growing at a rapid pace. large distributed systems are dynamic, and view failures and perturbations as expected events and not catastrophic exceptions. for preventing or reducing service interruption, it is not feasible to expect external intervention every time a failure or a perturbation occurs: current and future systems should be smart enough to recover on their own. there are different paradigms addressing such issues: these are known as self-stabilization, self-healing, self-reconfiguration, autonomic computing, recovery-oriented computing, adaptive distributed systems etc. these topics define the primary focus of my research. spontaneous recovery and adaptation to changing environments are sometimes accompanied by harmful side effects. for example, in self-stabilizing systems, even a single transient failure can corrupt the entire network before recovery begins. paths to recovery can also compromise with the safety requirements. examples are abundant in sensor networks and peer-to-peer networks. my research deals with the algorithmic aspects of handling failures and recovery. the current areas of investigation are: autonomic distributed systems peer-to-peer and social networks algorithms for sensor networks current ph.d students sikder rezwanul huq book sukumar ghosh: distributed systems: an algorithmic approach (second edition), crc press 2014 selected publications sikder huq, sukumar ghosh: locally self-adjusting skip graphs. icdcs 2017: 805-815 sikder huq, m. zubair shafiq, sukumar ghosh, amir r. khakpour, harkeerat bedi: distributed load balancing in key-value networked caches. icdcs 2017: 583-593 thamer alsualiman, andrew berns, sukumar ghosh: self-stabilizing power-law networks. icdcn 2015 andrew berns, sukumar ghosh, sriram v. pemmaraju: building self-stabilizing overlay networks with the transitive closure framework. theor. comut. sc. 512:2-14 (2013) thamer alsulaiman, andrew berns, sukumar ghosh: low-communication self-stabilizing leader election in large networks. sss 2013: 348-350 anurag dasgupta, sukumar ghosh, xin xiao: fault containment in weakly stabilizing systems. theor. comput. sci. 412(33): 4297-4311 (2011) anand padmanabhan, sukumar ghosh, shaowen wang: a self-organized grouping (sog) framework for efficient grid resource discovery. j. grid comput. 8(3): 365-389 (2010) teaching fall 2018 courses distributed systems and algorithms discrete structures past courses additional information biographical data 19th international symposium on stabilization, safety, and security of distributed systems (sss 2017) 20th international conference on distributed computing and networking (icdcn 2019) peers final report acm sigact news distributed systems: an algorithmic approach (second edition) 2014 nsf project report diff --git a/src/data/compiled_bios/3445.txt b/src/data/compiled_bios/3445.txt new file mode 100644 index 0000000000..a17e4a8969 --- /dev/null +++ b/src/data/compiled_bios/3445.txt @@ -0,0 +1 @@ +ted herman position: professor email: snail mail: department of computer science university of iowa iowa city, iowa 52242 telephone: (319) 335-2833 fax: (319) 335-3624 office: 201m maclean hall office hours: mwf 2:30-3:30 the image above is a photograph of a goldfinch, the official state bird of iowa. in the fall of 2018, i am teaching cs:2820 object oriented development. where is cs at iowa? ted herman 12 june 2018. diff --git a/src/data/compiled_bios/3446.txt b/src/data/compiled_bios/3446.txt new file mode 100644 index 0000000000..524a5ef9d9 --- /dev/null +++ b/src/data/compiled_bios/3446.txt @@ -0,0 +1 @@ +toggle navigation juan pablo hourcade home research publications classes faq juan pablo hourcade is an associate professor at the university of iowa's department of computer science, ui3 associate director for informatics education, and a member of the delta center. his main area of research is human-computer interaction, with a focus on the design, implementation and evaluation of technologies that support creativity, collaboration, well-being, healthy development, and information access for a variety of users, including children and older adults. dr. hourcade is the author of child-computer interaction the first comprehensive book on the topic, and has held various leadership roles in his research community (e.g., papers co-chair for chi 2016 and chi 2017). he is in the editorial board of interacting with computers, foundations and trends in human-computer interaction, and the international journal of child-computer interaction. he is editor of the universal interactions forum, and a blogger for interactions magazine. juan pablo hourcade, associate professor, department of computer science, university of iowa 14 maclean hall, iowa city, ia 52242 usa tel: +1 319 353 2543, fax: +1 319 335 3624, juanpablo-hourcade@uiowa.edu copyright 2017 juan pablo hourcade diff --git a/src/data/compiled_bios/3447.txt b/src/data/compiled_bios/3447.txt new file mode 100644 index 0000000000..5c79062bd0 --- /dev/null +++ b/src/data/compiled_bios/3447.txt @@ -0,0 +1 @@ +douglas w. jones associate professor the university of iowa department of computer science phd, university of illinois, 1980ms, university of illinois, 1976bs, carnegie-mellon university, 1973 [vita(html)] [vita(pdf)] [public service] [research interests] [others named douglas jones] email: jones@cs.uiowa.edu snail mail: douglas w. jones 201h maclean hall university of iowa iowa city, ia 52242-1419 phone: (319)335-0740 -- office (319)335-0713 -- department secretary fax: (319)335-3624 hours (jan. 14 - may. ? 2019): cs:2820:aaa, 110 mlh, 1:30-2:20 mon-wed-fri cs:2820:bbb, 22 sh, 10:30-11:20 mon-wed-fri office, 201h mlh, 2:20-3:20 mon-wed-fri doug jones's index courses fall 2018 cs:2820 object oriented software development, spring 2019 operating systems and security cs:3620 operating systems, spring 2018 22c:169 computer security , spring 2011 22c:50 introduction to system software, summer 2004 22c:216 seminar on operating systems fall 1996, focusing on real-time systems, with amulet. 22c:294-2 operating systems design seminar (acados), spring 2002 computer architecture cs:2630 computer organization, summer 2018 cs:4980:4 computer history/retrocomputing, fall 2015 22c:122 high performance computer architecture, spring 2004 programming languages cs:4980:1 compiler construction, fall 2018 research areas computers in voting and elections (including accurate) stepping motors raspberry pi arithmetic tutorials simulation pending-event-set algorithms compression and encryption algorithms assemblers and linkers ternary logic and arithmetic (the ternary manifesto) the iowa logic specification language obsolete computer technology dec pdp-8 the friden flexowriter cdc 160 hewlett packard calculators and computers modcomp minicomputers plato core memory punched cards other making stuff tools, machining, fixing, wood, paper the flood of 2008 guide to natural areas around iowa city a trip on the union pacific targeted political protest on the web congregation agudas achim erds number = 4; bacon number = 3; h-index = 17 an isfdb entry an imdb entry the views and opinions expressed in this page are strictly those of douglas w. jones. it goes without saying that this well-reasoned and insightful material has not been approved by the department of computer science, the college of liberal arts and sciences, the university of iowa, or the state of iowa. last modified: friday, 08-feb-2019 13:10:07 cst diff --git a/src/data/compiled_bios/3448.txt b/src/data/compiled_bios/3448.txt new file mode 100644 index 0000000000..a36f0e92d1 --- /dev/null +++ b/src/data/compiled_bios/3448.txt @@ -0,0 +1 @@ +joseph k. kearney professor department of computer science university of iowa iowa city, ia 52242-1419 office: 101 mlh telephone: (319) 335-0741 fax: (319) 335-3624 email: kearney@cs.uiowa.edu ph.d., minnesota, 1983 interests simulation virtual environments animation human computer interaction projects hank: real-time ground vehicle simulation virtual environments as laboratories for studying human behavior behavior modeling and scenario authoring for virtual environments environment modeling recent courses 22c:034 discrete structures 22c:0296 seminar on human computer interaction 22c:0196 computer animation art gallery wire-frame sculptures created by students in cs iii recent publications traffic generation for studies of gap acceptance , j. kearney, t. grechkin, j. cremer, and j. plumert, driving simulation conference, dsc 2006 , paris, france pp. 177-186, october 2006. [pdf] a parametric model for oriented, navigable surfaces in virtual environments , h. wang and j. kearney, acm international conference on virtual reality continuum and its applications, vrcia , hong kong, pp. 51-57, june 2006. [acm digital library reference] ribbon networks for modeling navigable paths of autonomous agents in virtual environments , p. willemsen, j. kearney, and h. wang, ieee transactions on visualization and computer graphics , 12(3), pp. 331-342, march 2006. steering behaviors for autonomous vehicles in virtual environments , h. wang, j. kearney, j. cremer, and p. willemsen proceedings of the ieee virtual reality conference, bonn, germany pp. 155-162, march 2005. [pdf] ribbon networks for modeling navigable paths of autonomous agents in virtual environments, p. willemsen, j. kearney, and h. wang proceedings of the ieee virtual reality conference, los angeles, ca, pp. 79-86, march 2003. [pdf] arc-length parameterized spline curves for real-time simulation, h. wang, j. kearney, and k. atkinson proceedings of the 5th international conference on curves and surfaces, san malo, france, pp. 387-396, june 2002. [pdf] robust and efficient computation of the closest point on a spline curve, h. wang, j. kearney, and k. atkinson proceedings of the 5th international conference on curves and surfaces, san malo, france, pp. 397-406, june 2002. [pdf] strolling down the avenue with a few close friends, t. hostetler and j. kearney, eurographics ireland 2002 workshop, dublin, ireland, pp. 7-14, march 2002. [pdf] this old digital city: one year later: experience gained, lessons learned, and future plans, j. cremer, j. severson, s. gelo, j. kearney, m. mcdermott. proceedings of the 7th international conference on virtual systems and multimedia (vsmm2000), pp. 49-56, october 2001. this old digital city: virtual historical cedar rapids, iowa circa 1900, j. cremer, j. severson, j. kearney, s. gelo, m. mcdermott, and r. riccio. proceedings of the 6th international conference on virtual systems and multimedia (vsmm2000), softopia, ogaki, gifu, japan, pp. 27-34, october 2000. scenario languages for driving simulation, j. kearney, p. willemsen, stephane donikian, and frederic devillers, driving simulation conference: dsc'99, paris, france, pp. 377-393, july, 1999. [pdf] generation of ambient traffic for real-time driving simulation, e. bonakdarian, j. cremer, j. kearney, and p. willemsen, proceedings of 1998 image conference, scottsdale, az, august, 1998. embedding scenarios in ambient traffic, o. alloyer, e. bonakdarian, j. cremer, j.k. kearney, and p. willemsen, driving simulation conference: dsc'97, lyons, france, pp. 75-84, september, 1997. directable behavior models for virtual driving scenarios, j. cremer, j.k. kearney, and p. willemsen, transactions of the society of computer simulation international, special issue on multiagent systems, 14(2), pp. 87-96, 1997. tile-based scene modeling for driving simulation, j. kearney, s. allen, shaheen bahauddin, michael j. bartelme, t. chow, d. evans, and b. mannlein, image v conference, july 1996, tucson, az. simulation and scenario support for virtual environments, j. cremer, j.k. kearney, and h. ko, computers and graphics, pp. 16-20, september, 1996. driving simulation: challenges for vr technology, j. cremer, j. kearney, and y. papelis, ieee computer graphics and applications, pp. 16-20, september, 1996. on animating whip-type motions, d. bhat and j.k. kearney, the journal of visualization and computer animation, 5, pp. 229-249, 1996. hcsm: a framework for behavior and scenario control in virtual environments, j. cremer, j.k. kearney, and y. papelis, acm transactions on modeling and simulation, 5(3), july 1995, pp. 242-267. diff --git a/src/data/compiled_bios/3449.txt b/src/data/compiled_bios/3449.txt new file mode 100644 index 0000000000..caf062f0e3 --- /dev/null +++ b/src/data/compiled_bios/3449.txt @@ -0,0 +1 @@ +brandon myers lecturer department of computer science university of iowa home research cv misc blog i am interested in improving undergraduate education and instructional methods for computer science and engineering. specific topics include cooperative learning, guided inquiry (e.g., pogil), and accessible materials. my other research interests are broadly in computer systems engineering: high-performance computing, data management, and computer architecture. i have worked on systems that enable fast and flexible parallel programming. past projects include grappa, the high-performance partioned global address space (pgas) runtime and radish, a database query processor built on a parallel language compiler (and raco query compiler). currently teaching fall 2018: in addition to computer organization, i am teaching a redesigned version of cs2 data structures as part of the learning collaboratory, which seeks to improve large lecture courses using evidence-based teaching. in spring 2018, i taught a new topics ii course in spring 2018 on using fpgas to build application-specific accelerators. you can visit the course webpage for access to labs, tutorials, and resources. news 14 november 2018 icru fellow yitong (jason) li presented a poster on our work on accessible tools for teaching digital logic. 20 october 2018 phd student yeajin ham and i will be presenting our research paper supporting guided inquiry with cooperative learning at sigcse 2019. 01 august 2018 we have an icru project to develop digital logic design tools to be used by students who are blind or have low vision. brandon myers brandon-d-myers@uiowa.edu bmyerz bmyerz diff --git a/src/data/compiled_bios/345.txt b/src/data/compiled_bios/345.txt new file mode 100644 index 0000000000..fd0bd914d1 --- /dev/null +++ b/src/data/compiled_bios/345.txt @@ -0,0 +1 @@ +Name: Fox, Kyle:: Position: Assistant Professor:: Degrees: Ph.D., Computer Science, University of Illinois, Urbana-Champaign, 2013; MS., Computer Science, University of Illinois, Urbana-Champaign, 2010; B.S., Computer Science, University of Illinois, Urbana-Champaign, 2008; Research Interests: Algorithms and Theory; Computational Geometry and Topology; Combinatorial Optimization and Graph Algorithms; Major Honors and Awards: Stutzke Dissertation Completion Fellowship (UIUC, 2013); C.W. Gear Outstanding Graduate Student Award (UIUC, 2013); Department of Energy Office of Science Graduate Fellowship (DOE, 20102013); Representative Publications: K. Agarwal, K. Fox, D. Panigrahi, K. Varadarajan, and A. Xiao. Faster algorithms for the geometric transportation problem. In Proceedings of the 33rd International Symposium on Computational Geometry (SoCG), 7:17:16, 2017.; Borradaile, E. W. Chambers, K. Fox, and A. Nayyeri. Minimum cycle and homology bases of surface embedded graphs. J. Comp. Geom., 8(2):5879, 2017. SoCG 2016 special issue.; K. Agarwal, K. Fox, K. Munagala, and A. Nath. Parallel algorithms for constructing range and nearest-neighbor searching data structures. In Proceedings of the 35th Annual Symposium on Principles of Database Systems (PODS), 429440, 2016.; K. Agarwal, K. Fox, J. Pan, and R. Ying. Approximating dynamic time warping and edit distance for a pair of point sequences. In Proceedings of the 32nd International Symposium on Computational Geometry (SoCG), 6:16:16, 2016.; K. Fox, P. N. Klein, and S. Mozes. A polynomial-time bicriteria approximation scheme for planar bisection. In Proceedings of the 47th Annual ACM Symposium on Theory of Computing (STOC), 841850, 2015.; Notable Service: Member Graduate Admissions Committee at UT Dallas; diff --git a/src/data/compiled_bios/3450.txt b/src/data/compiled_bios/3450.txt new file mode 100644 index 0000000000..4294b82a40 --- /dev/null +++ b/src/data/compiled_bios/3450.txt @@ -0,0 +1 @@ +aboutpublicationsteachingmore rishab nithyanandassistant professor department of computer science university of iowa email: rishab-nithyanand at uiowa.edu office: 201l maclean hall office hours: wednesdays 9-10 am research openings i am always looking to recruit self-motivated students who want to work on research aimed at understanding the technical, social, and legal issues surrounding the internet. if that type of research sounds like fun to you, drop in during my office hours or shoot me an email to tell me about yourself. high school and undergraduate students are also encouraged to get in touch. research interests and bio i am currently an assistant professor in the department of computer science at the university of iowa. my research interests are in the areas of security, privacy, and internet measurement. more specifically, i enjoy research geared towards defending anonymity, understanding internet censorship, measuring aspects of the advertising and tracking ecosystem, and generally understanding the impact of the internet on the sociopolitical realities of today. in the past, i dabbled in usable security and computer theory. before joining the faculty at uiowa, i was a ford-mozilla open web fellow at the data & society research institute (2017-18). i obtained my ph.d. from stony brook university where i was lucky to be co-advised by rob johnson and phillipa gill. my dissertation focused on building defenses for various attacks on the tor anonymity network. for a few months after graduating (july-september 2017), i was a post-doctoral researcher at the university of massachusetts in amherst. a long long time ago (2008), i got my bachelors from srm university (india) and my masters from the university of california at irvine (2010) where i was advised by the amazing gene tsudik. along the way i've also worked at icsi (as a visiting researcher), qualcomm research (as a research intern), computer associates (as a software engineer), and sandia national labs (as a contractor). recent news [08/18] i'm very excited to announce that i am now an assistant professor at the department of computer science at the university of iowa! [05/18] i will be presenting "tussling with privacy on the internet" at data & society's databite series and at the ford foundation. [04/18] i will be presenting "anonymity & ad-tracking: insights from measurement studies" at cornell tech's digital life seminar series. [04/18] i will be on a panel discussing "data privacy and ethics" at columbia university's barnard college. [04/18] i presented "tussling with anonymity and privacy on the internet" at columbia university's school of international and public affairs. [02/18] "apps, trackers, privacy, and regulators: a global study of the mobile tracking ecosystem" appeared at ndss 2018. [12/17] our work on american political discourse and the rise of extremist hate groups was covered by cbs news, new scientist, and others. [12/17] "a churn for the better: localizing censorship using path churn and network tomography" appeared at conext 2017. [11/17] our work on the current state of trackers in the mobile app ecosystem was covered by abc news. [08/17] "as politicians become less civil, so does the internet" appeared on vox.com. [08/17] "characterizing the nature and dynamics of tor exit blocking" appeared at usenix security 2017. [08/17] "measuring offensiveness in online political discourse" appeared at usenix foci 2017. [08/17] i was awarded a ford-mozilla open web fellowship! as part of my work for this fellowship, i will be moving back to nyc to work with the data & society research institute! diff --git a/src/data/compiled_bios/3451.txt b/src/data/compiled_bios/3451.txt new file mode 100644 index 0000000000..eebca95c28 --- /dev/null +++ b/src/data/compiled_bios/3451.txt @@ -0,0 +1 @@ +dr. suely oliveira, professor department of computer science, 14 mlh. the university of iowa. iowa city, ia 52242-1419, usa email: suely-oliveira@uiowa.edu office: 101 mlh phone: 319-335-0731 fax: 319-335-3624 office hours (spring 2019): tu&th 2:00-3:30pm research: parallel algorithms, big data applications, bioinformatics, scientific computing and numerical analysis publications: journal and conference papers book: building proofs: a practical guide, world scientific, summer 2015 book: writing scientific software, cambridge university press, fall 2006 distributed systems and machine learning group 2018-2019 courses: cs:4740 large data analysis (spring 2019) tu&th 3:30-4:45pm, 350 van, some classes on sh31 or 214 bhc (see icon for details). also math:4740, stat:4740 and igpi:4740) cs:3330 algorithms (fall 2018). tu&th 8:00-9:15 am mlh101 cs:3330 algorithms (fall 2018). tu&th 9:00-10:45 am mlh118 other recent courses: cs:4740/math:4740/stat:4740 large data analysis (spring 2017, 2016, 2015) (co-taught with kate cowles from statistics) cs:4700/math:4860 high performance and parallel computing (fall 2017, 2015). recent grants: large data analysis & visualization at the university of iowa nsf extrems-qed dms-1407216 pi: suely oliveira, co-pis: mary kathryn cowles, isabel darcy, bruce ayati, and david stewart. (2014-2019) double strand break repair maelstrom: causes, mechanisms and genome destabilizing consequences r35 gm127006-01. nigms. investigator/s anna malkova (principal investigator), suely p oliveira (collaborator). (2018-2023) some recent activities: tpc for the international international conference on fuzzy systems and data mining fsdm, october 2019, kitakyushu city, japan tpc for the 20th ieee international parallel and distributed scientific and engineering computing (pdsec19), jointly with 33rd ieee international parallel and distributed processing symposium (ipdps) may 2019, rio de janeiro, brazil. tpc for the international conference on fuzzy systems and data mining fsdm, november 2018, bangkok, thailand. bdcc special issue guest editor, 2018 large data analysis undergraduate certi cate, academic coordinator news articles: daily iowan, office of research big data summer school 2015-2018 big data and cognitive computing, editor and advisory board faculty of interdisciplinary graduate program in informatics faculty of the applied mathematical and computational sciences program previous and current phd students diff --git a/src/data/compiled_bios/3452.txt b/src/data/compiled_bios/3452.txt new file mode 100644 index 0000000000..a70979df84 --- /dev/null +++ b/src/data/compiled_bios/3452.txt @@ -0,0 +1 @@ +graphs in combinatorica. here is more about combinatorica. sriram pemmaraju professor and director of graduate studies coordinates: 101 g mclean hall, department of computer science, the university of iowa, iowa city, ia 52242-1419 319 353 2956 (voice), 319 335 3624 (fax) sriram-pemmaraju@uiowa.edu office hours: 1:30-2:30 m, 10:30-11:30 w, 2:00-3:00 f (and by appointment). research: broadly speaking, my research area is theoretical computer science. more specifically, my current research interests are in distributed algorithms, randomization, and approximation algorithms and combinatorial optimization. i am part of the algorithms research group at iowa. i have also become interested in models and algorithms for contact networks, diffusion of disease through contact networks, and the design of effective policies to mitigate disease spread. i am part of the computational epidemiology group at iowa. openings for fall 2019: i am looking for phd students in distributed algorithms and phd students and a post-doctoral fellow in computational epidemiology. read on if you are interested... recent publications: large-scale distributed algorithms for facility location with outliers with tanmay inamdar and shreyas pai. 22nd international conference on principles of distributed systems, december 2018, hong kong. full paper at arxiv. near-optimal clustering in the k-machine model with sayan bandyapadhyay, tanmay inamdar and shreyas pai. 19th international conference on distributed computing and networking, jan 2018, varanasi india. full paper at arxiv. symmetry breaking in the congest model: time- and message-efficient algorithms for ruling sets with shreyas pai, gopal pandurangan, talal riaz, and peter robinson. brief announcement in thirty-sixth annual acm sigact-sigops symposium on principles of distributed computing (podc 2017), july 2017 and paper in 31st international symposium on distributed computing (disc 2017), oct 2017, vienna, austria. full paper at arxiv. super-fast mst algorithms in the congested clique using o(m) messages with vivek sardeshmukh. 36th iarcs annual conference on foundations of software technology and theoretical computer science (fsttcs 2016), dec 2016. full paper at arxiv. using read-k inequalities to analyze a distributed mis algorithm with talal riaz. brief announcement in thirty-fifth annual acm sigact-sigops symposium on principles of distributed computing (podc 2016), july 2016 and paper in the 20th international conference on principles of distributed systems (opodis), madrid, spain, dec 2016 full paper at arxiv. see my dblp page for a longer list of publications. phd students: current: talal riaz, shreyas pai. former students: vivek sardeshmukh (2016, cadence design systems, san jose), mauricio monsalve (2015, post-doc at cigiden), andrew berns (2012, u of northern iowa), donald curtis (2011, google), saurav pandit (2010, authenticated digital nyc), imran pirwani (2008, apple inc), kevin lillis (2008, st.ambrose university), rajiv raman (2007, iiit delhi). current teaching (fall 2018): randomized algorithms here you can find course pages of classes i have taught since 2001. other recent activities: pc: sirrocco 2017, pc chair: icdcn 2019. i organize the departmental speaker's bureau. graduate programs in cs at the university of iowa visit the graduate programs pages to learn more about the graduate degrees (phd and mcs) offered by the department of computer science at the university of iowa. back to the departmental homepage. the views and opinions expressed in this page are strictly those of the page author. the contents of this page have not been approved by mathematical sciences, the college of liberal arts, or the university of iowa. diff --git a/src/data/compiled_bios/3453.txt b/src/data/compiled_bios/3453.txt new file mode 100644 index 0000000000..017ec66c47 --- /dev/null +++ b/src/data/compiled_bios/3453.txt @@ -0,0 +1 @@ +kyle rector home research publications teaching outreach cv contact kyle rector university of iowa computer science the university of iowa 14 maclean hall iowa city, ia 52242-1419 kyle-rector@uiowa.edu about me i am an assistant professor of computer science and a member of the public digital arts cluster at the university of iowa. i conduct research at the intersection of human-computer interaction and accessibility. i am especially interested in developing technologies that enhance quality of life for people who are blind or low vision in domains including exercise and art. i graduated from the university of washington in 2016 from the department of computer science and engineering, and my advisors were dr. julie kientz and dr. richard ladner. i am most recently excited about being awarded a microsoft artificial intelligence for accessibility grant. i was a previous recipient of the nsf graduate research fellowship and the google phd fellowship in hci. for more in-depth information on my research feel free to look at my dissertation. news i am excited to announce that i and my collaborators were awarded a microsoft artificial intelligence for accessibility grant! we are excited to develop a mobile application that provides navigation feedback to people who are visually impaired on 400-meter jogging tracks! we got two papers accepted to chi 2019! we cannot wait to present in glasgow. i will be presenting a paper on exploring aural and haptic feedback for people who are visually impaired on jogging tracks at assets 2018! i will be attending the 2018 grace hopper conference! i will be visiting the google phd fellowship summit to participate in a panel on what's next after phd?" i and my collaborators presented a paper a ubicomp in hawaii! i am attending the microsoft research faculty summit! i will be paticipating in the day of service at chi 2017. we had a publication accepted to taccess about the eyes-free yoga deployment! i was featured on oregon state university's engineering out loud podcast with my mentor margaret burnett! i was part of an accepted chi 2017 publication! last updated 12/13/2018. diff --git a/src/data/compiled_bios/3454.txt b/src/data/compiled_bios/3454.txt new file mode 100644 index 0000000000..852bf2e13f --- /dev/null +++ b/src/data/compiled_bios/3454.txt @@ -0,0 +1 @@ +alberto maria segre Professor, Chair and Gerard P Weeg Faculty Scholar in Informatics alberto-segre@uiowa.edu Office: 14G MLH Office Hours: By appointment Telephone: 3351713 research interests i am primarily interested in distributed algorithms for solving optimization problems. much of my past work has focused on problems from the biological sciences, including linkage analysis problems from statistical genetics, and protein structure prediction techniques. i have also worked on parallel search algorithms such as a*, -minimax, davis-loveland-putnam, and applications of these algorithms to both standard ai problems and economic problems such as combinatorial auction winner determination. more recently, i have been interested in solving optimization problems in computational epidemiology, such as optimal location placement for sentinel surveillance, optimal vaccination strategies, and so on. curriculum vitae selected publications using computer vision and depth sensing to measure healthcare worker-patient contacts and personal protective equipment adherence within hospital rooms (with j.y. chen, j.f. cremer, k. zarei and p.m. polgreen) open forum infectious diseases, 3:1 (winter 2016). network models, patient transfers and infection control (with p.m. polgreen) clinical infectious diseases, 63:7 (august 2016). network position and health care worker infections (with p.m. polgreen and t.l. tassier) journal of economic interaction and coordination (september 2015). outpatient blood pressure monitoring using bi-directional text messaging (with c.a. anthony, l.a. polgreen, j.p. chounramany, e.d. foster, c.j. goerdt, m.l. miller, m.suneja, b.l. carter and p.m. polgreen) journal of the american society of hypertension (january 2015). vaccination games with peer effects in a heterogeneous population (with t.l. tassier and p.m. polgreen)administrative sciences, 5 (january 2015). electronic recognition of hand-hygiene technique and duration (with v. galluzzi, t. herman, d.j. shumaker, d.r. macinga, j.w. arbogast, e.m. segre and p.m. polgreen) infection control and hospital epidemiology, 35:10 (october 2014). do peer effects improve hand hygiene adherence among healthcare workers? (with m.n. monsalve, s.v. pemmaraju, g.w. thomas, t. herman and p.m. polgreen) infection control and hospital epidemiology, 35:10 (october 2014). how many suffice? a computational framework for sizing sentinel surveillance networks (with g. fairchild, p.m. polgreen, e. foster and g. rushton) international journal of health geographics, 12:56 (december 2013). healthcare worker contact networks and the prevention of hospital-acquired infections (with d.e. curtis, c.s. hlady, g. kanade, s. pemmaraju and p.m. polgreen) plos one (december 2013). using sensor networks to study the effect of peripatetic healthcare workers on the spread of hosptial-acquired infections (with t. hornbeck, d. naylor, g. thomas, t. herman and p.m. polgreen) journal of infectious diseases, 206:10 (november 2012) pp 15491557. primary stroke centers should be located using maximal coverage models for optimal access (with e.c. leira, g. fairchild, g. rushton, m.t. froehler and p.m. polgreen) stroke, 43 (july 2012), pp 24172422. monitoring hand hygiene via human observers: how should we be sampling? (with j. fries, g. thomas, t. herman, k. ellingson and p.m. polgreen) infection control and hospital epidemiology, 33:7 (july 2012), pp 689695. kelvin: a software package for rigorous measurement of statistical evidence in human genetics (with v.j. vieland, y. huang, s.c. seok, j. burian, u. catalyruk, j. o'connell and w. valentine-cooper) human heredity, 72:4 (december 2011). the use of twitter to track levels of disease activity and public concern in the u.s. during the influenza a h1n1 pandemic (with a. signorini and p.m. polgreen) plos one, 6:5 (may 4, 2011). method for automated monitoring of hand hygiene adherence without radio-frequency identification(with p.m. polgreen, c.s. hlady, m.a. severson and t.herman) infection control and hospital epidemiology, 31:12 (december 2010), pp 12941297. using social networks to prioritize vaccination strategies for healthcare workers (with p.m. polgreen, t. tassier and s. pemmaraju) infection control and hospital epidemiology, 31:9 (september 2010), pp 893900. a mobile handheld computing application for recording hand hygiene observations (with c.s. hlady, m.a. severson and p.m. polgreen) infection control and hospital epidemiology, 31:9 (september 2010), pp 975977. optimizing influenza sentinel surveillance at the state level (with p.m. polgreen, e. chen, m. harris, m. pentella and g. rushton), american journal of epidemiology, 170 (november 2009), pp 13001306. an optimal multiprocessor combinatorial auction solver (with s. yang and b. codenotti), computers and operations research, 36:1 (january 2009), pp 149166. mapping autism risk loci using genetic linkage and chromosomal rearrangements (autism genome project), nature genetics 39:3 (march 2007), pp. 319328. privacy-preserving database union (with a. wildenberg, v. vieland and y. zhang), privacy in statistical databases lecture notes in computer science 4032 (december 2006), pp. 266276. approximation of multipoint likelihoods using flanking marker data: a simulation study (with a. george, l. mangin, c. bartlett, m. logue, v. vieland), bmc genetics (december 2005), pp. s44. nagging: a scalable, fault-tolerant, paradigm for distributed search (with s. foreman, g. resta and a. wildenberg), artificial intelligence 140:12 (september 2002), pp. 71106. a structured pattern matching approach to shotgun sequence assembly (with s. kim), journal of computational biology 6:2, (spring 1999), pp. 163186. nagging: a distributed, adversarial search-pruning technique applied to first-order inference (with d.b. sturgill), journal of automated reasoning 19:3 (december 1997), pp. 347376. exploratory analysis of speedup learning data using expectation maximization (with g.j. gordon and c.p. elkan), artifical intelligence 85:12 (august 1996), pp.301319. a high performance explanation-based learning algorithm (with c.p. elkan), artificial intelligence 69:12 (september 1994), pp.150. bounded-overhead caching for definite-clause theorem proving (with d. scharstein), journal of automated reasoning 11:1 (august 1993), pp. 83113. a critical look at experimental evaluations of ebl (with c.p. elkan and a. russell), machine learning 6:2, kluwer academic (march 1991), pp. 183196. diff --git a/src/data/compiled_bios/3455.txt b/src/data/compiled_bios/3455.txt new file mode 100644 index 0000000000..8507ebfa98 --- /dev/null +++ b/src/data/compiled_bios/3455.txt @@ -0,0 +1 @@ +navigation home bio research papers lab students teaching courses zubair shafiq assistant professor department of computer science iowa informatics initiative the university of iowa http://www.cs.uiowa.edu/~mshafiq zubair-shafiq@uiowa.edu twitter google scholar profile academic cv research interests i lead the internet research lab at iowa. we are broadly interested in measurement and modeling of computer systems. see our lab page for latest news and updates. we are actively researching the following topics: web privacy & security (adblocking, tracking, oauth) malware & vulnerabilities (iot, ics, cybercrime) quality of experience (cdn, cellular, video) social media (polarization, personalization, anonymity) i'm always looking for passionate and self-motivated graduate and undergradaute students to work on research projects. email me if you are interested. awards 2018: andreas pfitzmann best student paper award, privacy enhancing technologies symposium (pets) 2018: nsf faculty early career development (career) award 2017: best paper award, acm internet measurement conference (imc) 2015: nsf cise research initiation initiative (crii) award 2013: fitch beach outstanding graduate research award, michigan state university 2012: best paper award, ieee international conference on network protocols (icnp) 2008: dean's plaque of excellence, national university of sciences and technology (nust) pakistan 2007: dean's plaque of excellence, national university of sciences and technology (nust) pakistan funding my research is supported by the national science foundation, data transparency lab, ui research foundation, obermann center for advanced studies, minim, verizon digital media services, facebook, nokia, huawei, and siemens. student guidelines current phd students prospective phd students thoughts on the roles of the student and of the supervisor in the different phases of a phd address office: 201j maclean hall, iowa city, ia 52242-1419 tel: (319) 335-0713 fax: (319) 335-0627 diff --git a/src/data/compiled_bios/3456.txt b/src/data/compiled_bios/3456.txt new file mode 100644 index 0000000000..9561760ed4 --- /dev/null +++ b/src/data/compiled_bios/3456.txt @@ -0,0 +1 @@ +professor padmini srinivasan, computer science, university of iowa 101b maclean hall 319-335-0737 office hours: wed:10:00-11:30 am & thur:3:30-5pm & by appointment navigationprofessor padmini srinivasan, computer science, university of iowa101b maclean hall319-335-0737office hours: wed:10:00-11:30 am & thur:3:30-5pm & by appointment lorem ipsum dolor pellentesque habitant morbi tristique senectus et netus et malesuada fames ac turpis egestas. vestibulum tortor quam, feugiat vitae, ultricies eget, tempor sit amet, ante. donec eu libero sit amet quam egestas semper. aenean ultricies mi vitae est... read more --> next previous --> show all research teaching research text mining - text retrieval - web mining - crowdsourcing & games- biomedical text mining - web crawlers - mining social media (political sentiment, health beliefs, drug adverse effects) courses intro. to informatics - prog. for informatics - databases - health data analytics - web mining - text retrieval profile professor: computer science, university of iowa - phd: syracuse university - msc (hons): birla institute of technology & science - school: delhi tamil education association (dtea lodhi road) students ingroj shrestha - asad mahmood - jonathan rusert - momina syeda tabish - xiaouan zhang - chao yang- sanmitra bhattacharya - christopher harris - hung viet tran - yelena mejova - viet ha-thuc - brian almquist - aditya sehgal - xin ying qiu - gautam pant - miguel ruiz papers bmcbioinformatics2015 - jasist2015 - emnlp2015 - plosone2014-airs2014-websci2014 - jasist2013 - ecir2013 - wsdm2013 - isr2013 - aaai2012 - amia2012 - asist2012 - websci2012- icwsm2012 - sigir2012 .... journal club hurdle models // moods - collective attention on twitter - who says what - malicious tweets - quality & crowdsourcing - active learning - to stay or leave - ranking through expected loss optimization - activation forces & complex nets text retrieval & text mining group diff --git a/src/data/compiled_bios/3457.txt b/src/data/compiled_bios/3457.txt new file mode 100644 index 0000000000..ca956a102c --- /dev/null +++ b/src/data/compiled_bios/3457.txt @@ -0,0 +1 @@ +aaron stump home papers books software events qa9 (blog) advisees aaron stump aaron stump professor computer science the university of iowa contact information, cv (last updated february 2018) research interests: computational logic, programming languages theory. cesare tinelli, omar chowdhury, and i run the u. iowa computational logic center. i lead starexec, a cross-community logic solving web service. diff --git a/src/data/compiled_bios/3458.txt b/src/data/compiled_bios/3458.txt new file mode 100644 index 0000000000..18d7571d31 --- /dev/null +++ b/src/data/compiled_bios/3458.txt @@ -0,0 +1 @@ +home projects blog about contact our mission our mission is to teach computational thinking and computer science to elementary through high school students in the context of the performing arts -- programming nao humanoid robots to perform theatrical skits. by integrating the arts and the sciences, we are developing innovative ways to encourage girls with high math and verbal abilities to engage in computer science and technology-related fields. with traditional education methods, these talented girls are likely to bypass stem fields completely. our projects in partnership with the university of iowas belin-blank center for gifted education and talent development, we have developed one-week summer programs for elementary and middle school students. we are in the process of expanding our programs to include high school students, and we are also bringing these programs to portland, or and santa cruz, ca. we are also working with k12 educators to incorporate these robots into social science classes . get involved there are many ways to help our project succeed. you can share our project with your schools and communities, attend our performances, volunteer to help us run our programs, sponsor a student to attend a program, or help us raise funds to purchase and maintain our robots. this is a community-inspired project, and your involvement matters to us. every contribution of time and/or financial support, regardless of size, will help our project succeed! feel free to contact us for more details on how to get involved. 2016 da vinci living. contact facebook twitter diff --git a/src/data/compiled_bios/3459.txt b/src/data/compiled_bios/3459.txt new file mode 100644 index 0000000000..3dfc08bf04 --- /dev/null +++ b/src/data/compiled_bios/3459.txt @@ -0,0 +1 @@ +cesare tinelli professor department of computer science the university of iowa 14 maclean hall iowa city, ia 52242 usa phone: +1-319-335-0735 email: cesare-tinelli @ uiowa.edu office: 1410 seamans center education phd in cs, university of illinois at urbana-champaign, 1999 ms in cs, university of illinois at urbana-champaign, 1995 laurea in scienze dell'informazione, university of bari, 1990 research interests satisfiability modulo theories, automated reasoning, software verification, logic and formal methods in computer science biography short bio full cv events dagstuhl seminar: bringing cp, sat and smt together, february 36, 2019, wadern, germany etaps 2019, april 611, 2019, prague, czech republic cav 2019, july 1518, 2019, new york, ny, usa cade-27, august 2530, 2019, natal, brasil dagstuhl seminar: beyond deduction, september 813, 2019, wadern, germany research publications selected talks projects & grants collaborators honors & awards clc open positions education teaching advisees prospective students service profession diff --git a/src/data/compiled_bios/346.txt b/src/data/compiled_bios/346.txt new file mode 100644 index 0000000000..995d02e28f --- /dev/null +++ b/src/data/compiled_bios/346.txt @@ -0,0 +1 @@ +Name: Gogate, Vibhav:: Position: Associate Professor:: Degrees: Ph.D., Computer Science, University of California, Irvine, 2009; Research Interests: Machine learning; Artificial Intelligence; Data mining; Big data; RepresentativePublications: Deepak Venugopal, Somdeb Sarkhel and Vibhav Gogate, Just Count the Satisfied Groundings: Scalable Local-Search and Sampling Based Inference in MLNs, In AAAI 2015.; Somdeb Sarkhel, Deepak Venugopal, Parag Singla and Vibhav Gogate, An Integer Polynomial Programming Based Framework for Lifted MAP Inference, In NIPS 2014.; Deepak Venugopal, Chen Chen, Vibhav Gogate and Vincent Ng, Relieving the Computational Bottleneck: Joint Inference for Event Extraction with High-Dimensional Features, In Empirical Methods in Natural Language Processing Conference (EMNLP), 2014.; Happy Mittal, Prasoon Goyal, Vibhav Gogate and Parag Singla, New Rules for Domain Independent Lifted MAP Inference, In NIPS 2014.; Deepak Venugopal and Vibhav Gogate, Scaling-up Importance Sampling for Markov Logic Networks, In NIPS 2014.; diff --git a/src/data/compiled_bios/3460.txt b/src/data/compiled_bios/3460.txt new file mode 100644 index 0000000000..0fbb691d45 --- /dev/null +++ b/src/data/compiled_bios/3460.txt @@ -0,0 +1 @@ +kasturi varadarajan's home page kasturi r. varadarajan professor department of computer science 101d, maclean hall the university of iowa iowa city, ia 52242-1419, usa phone: (319) 335-0732 fax: (319) 335-3624 research interests in principle, all of theoretical computer science. in practice, a subset that includes primarily parts of computational geometry, but also optimization problems on graphs and the like and polynomial time computability of equilibria in games and some economic models. a selection of some papers that i have placed online should give a better idea. for a more complete list, check out dblp's list of my publications. former students benton mccune, erik krohn, matt gibson, gaurav kanade, xin xiao, santanu bhowmick. current students sayan bandyapadhyay, tanmay inamdar. prospective students if you are a cs student here at the ui who is considering working with me, you should read this. teaching in spring 2019, i am teaching design and implementation of algorithms courses i have taught since spring 2005: theory of computation: fall 2018 design and analysis of algorithms: spring 2018 , spring 2017 , spring 2014, spring 2013 , spring 2012 , fall 2008 , fall 2006 , spring 2006 . limits of computation: fall 2015 , spring 2015, spring 2005 computational geometry: spring 2013, spring 2007 algorithmic excursions: spring 2016 computing equilibria in markets and games: fall 2005 algorithms: fall 2017, fall 2014 , spring 2012 , spring 2011 , fall 2010 , fall 2008, fall 2007 data structures: fall 2013, fall 2012, fall 2011, spring 2010 , fall 2009 , spring 2009 office hours (spring 2019) 3:00--4:30 pm monday, and 1:30--3:00 pm wednesday. kasturi varadarajan ( firstname-lastname at uiowa dot edu ) diff --git a/src/data/compiled_bios/3461.txt b/src/data/compiled_bios/3461.txt new file mode 100644 index 0000000000..9b7c37f7ca --- /dev/null +++ b/src/data/compiled_bios/3461.txt @@ -0,0 +1 @@ +tianbao yang assistant professor computer science, university of iowa also affiliated with iowa informatics initiative and applied mathematical and computational sciences program email: [first-name]-[last-name] at uiowa.edu i am an assistant professor at the computer science department at the university of iowa since august 2014. i was a researcher at nec laboratories america, inc. before that, i was a machine learning researcher at ge global research. i received my ph.d. degree in computer science from michigan state university in 2012. here is my google scholar citations and cv. news research publications software services teaching (sep. 2018) 4 papers were accepted to nips 2018. (july 2018) gave an invited talk on "first-order stochastic algorithms for escaping from saddle points in almost linear time" at ismp, bordeaux, france. (june 2018) gave an invited talk on "first-order stochastic algorithms for escaping from saddle points in almost linear time" at peking university. (june 2018) xiaoxuan zhang and zhe li successfully defended their thesis. (may 2018) 1 paper was accepted by kdd 2018, 2 papers were accepted by ijcai 2018, and 4 papers were accepted by icml 2018. (march 2018) our paper "rsg: beating subgradient method without smoothness and/or strong convexity" was accepted to jmlr with minior revision. (dec 2017) our paper a simple analysis for exp-concave empirical minimization with arbitrary convex regularizer" was accepted to aistats 2018 with oral presentation. (september 2017) 4 papers were accepted to nips 2017. congratulations to my students and co-authors! (may 2017) gave a talk "what you should know about machine learning" at west high school in iowa city slides [call for papers]: big data and cognitive computing (bdcc) special issue on "learning from big data: scalable algorithms and novel applications" (may 2017): 1 ijcai, 1 colt, 2 icml papers were accepted. (december 2016): presented three papers at nips, including two regular ones and one workshop poster. (november 2016): talk at informs annual meeting about our recent work on restarted subgradient methods. three papers were accepted by aaai 2017. (october 2016): talk at department of management sciences at uiowa about our recent work on improved dropout for shallow and deep learning. two papers about "homotopy smoothing for non-smooth optimization" and "improved dropout for shallow and deep learning" were accepted by nips 2016. congratulations to my students and co-authors. (august 2016): talk at baidu research about our recent works on restarted subgradient methods, homotopy smoothing, and accelerated stochastic subgradient methods. paper "sparse learning for large-scale and high-dimensional data: a randomized convex-concave optimization approach" was accepted by alt 2016 paper "online asymmetric active learning with imbalanced data" was accepted by kdd 2016 paper "optimal stochastic strongly convex optimization with a logarithmic number of projections" was accepted by uai 2016 two papers accepted by icml 2016 paper "learning attributes equals multi-source domain generalization" accepted by cvpr 2016 paper "fast and accurate refined nystrom based kernel svm" accepted by aaai 2016 paper "stochastic optimization for kernel pca" accepted by aaai 2016 tutorial "big data analytics: optimization and randomization" presented at acml 2015, hong kong. [slides] paper "on data preconditioning for regularized loss minimization." accepted by machine learning journal tutorial "big data analytics: optimization and randomization" presented at kdd 2015, august, sydney. [slides] tutorial "stochastic optimization for big data analytics" presented at sdm 2014, april, pennsylvania. [slides] invited talk "randomized algorithms in machine learning" at applied mathematical and computational sciences seminar, uiowa. [slides] invited talk "distributed optimization for big data learning" at statistic and actuarial science department, uiowa, october 02, 2014 looking for motivated graduate students. if you are interested in machine learning (e.g., learning and optimization for big data, deep learning) then please don't hesitate to contact me. diff --git a/src/data/compiled_bios/3462.txt b/src/data/compiled_bios/3462.txt new file mode 100644 index 0000000000..f19166e775 --- /dev/null +++ b/src/data/compiled_bios/3462.txt @@ -0,0 +1 @@ +hantao zhang professor of computer science, university of iowa ph.d., rensselaer polytechnic institute, 1988. email: hantao-zhang@uiowa.edu (the best way to reach me!) snail mail: department of computer science university of iowa iowa city, iowa 52242 telephone: (319) 353-2545 (office), (319) 354-6372 (home) fax: (319) 335-3624 office: 201b maclean hall teaching: design and analysis of algorithms discrete math data structures algorithms limits of computation theory of computation artificial intelligence computer networks advanced artificial intelligence programming languages foundations publications research projects on automated reasoning: finite model generation propositional satisfiability jsat automated induction rewrite techniques finite mathematics others private ftp site or chinese corner www library or yahoo usa today or cnn maps select from recently used: (clear recent) ---- recently used ---- 805 chateaugay st. 10 west jackson blvd or map a new address: street address or airport code city, state or a postal code u.s.canada hantao zhang updated diff --git a/src/data/compiled_bios/3463.txt b/src/data/compiled_bios/3463.txt new file mode 100644 index 0000000000..1c41c08441 --- /dev/null +++ b/src/data/compiled_bios/3463.txt @@ -0,0 +1 @@ +Dr. Carlotta Berrys areas of expertise include educational mobile robotics and enhanced human-robot interfaces. Also specializing in recruitment and retention activities for underrepresented populations in electrical and computer engineering, she helped found the Rose Building Undergraduate Diversity (ROSE-BUD) program, which she co-advises. Dr. Berry also helped start and currently co-directs the multidisciplinary robotics program, and is an organizer and judge for FIRST Robotics competitions. One of her recent projects with students involved using mobile robot platforms to remotely command robots to perform tasks. Check out her personal web page. diff --git a/src/data/compiled_bios/3464.txt b/src/data/compiled_bios/3464.txt new file mode 100644 index 0000000000..1544c60651 --- /dev/null +++ b/src/data/compiled_bios/3464.txt @@ -0,0 +1 @@ +Dr. Daniel Changs areas of interest include computer architecture, memory systems, 3D integration technology, mobile processors, low-power computing systems and digital system design. He also advises the Institute of Electrical and Electronics Engineers (IEEE) student organization and Magic: The Gathering club. diff --git a/src/data/compiled_bios/3465.txt b/src/data/compiled_bios/3465.txt new file mode 100644 index 0000000000..e1107794ca --- /dev/null +++ b/src/data/compiled_bios/3465.txt @@ -0,0 +1 @@ +Dr. Edward Doering has expertise in audio signal processing, computer music, digital systems and video-based curriculum materials. He was among the inaugural group of 25 winners of the National Instruments Elite Educators Award for his work on the NI myRIO Project Essentials Guide, which helped launch myRIO, a product for embedded systems, controls, mechatronics and robotics. Check out his personal web page. diff --git a/src/data/compiled_bios/3466.txt b/src/data/compiled_bios/3466.txt new file mode 100644 index 0000000000..9deb0f29fe --- /dev/null +++ b/src/data/compiled_bios/3466.txt @@ -0,0 +1 @@ +Dr. Estradas expertise in systems engineering has been useful as a scholar and an engineer with the Chicago Mercantile Exchange Group. He teaches classes that introduce students to digital and embedded systems. Dr. Estrada is a member of the technical program committee for the International Conference on Computing, Networking and Communications, and a member of the Linux Foundation. diff --git a/src/data/compiled_bios/3467.txt b/src/data/compiled_bios/3467.txt new file mode 100644 index 0000000000..b7c4fa8b19 --- /dev/null +++ b/src/data/compiled_bios/3467.txt @@ -0,0 +1 @@ +Dr. Cliff Grigg is a registered professional engineer in Canada who specializes in power system operation and planning related to reliability, control and economics. He is an active member of the Institute of Electrical and Electronic Engineers, serving on several committees and being a reviewer for the organizations publications and conferences. Dr. Grigg also advises the Delta Sigma Phi fraternity. diff --git a/src/data/compiled_bios/3468.txt b/src/data/compiled_bios/3468.txt new file mode 100644 index 0000000000..387570031f --- /dev/null +++ b/src/data/compiled_bios/3468.txt @@ -0,0 +1 @@ +Dr. Marc Herniter specializes in analog electronics, power electronics and automotive systems and has taught an introductory-level, model-based systems design course in China. He has served as an expert witness on several high profile cases involving Porsche Cars North America, Texas Instruments and Samsung Electronics. Dr. Herniter advises Rose-Hulmans NXP Cup Model-Based Design club, and has implementeda high school autonomous vehicle competition, where students program a microcontroller to autonomously follow a random track. Students learn the design process, microcontrollers, programming and image recognition. diff --git a/src/data/compiled_bios/3469.txt b/src/data/compiled_bios/3469.txt new file mode 100644 index 0000000000..37a0b4cba0 --- /dev/null +++ b/src/data/compiled_bios/3469.txt @@ -0,0 +1 @@ +Dr. Tina Hudsons areas of expertise include analog digital systems and electronic device modeling. She is a dedicated educator who has received the Deans Outstanding Teacher Award. Dr. Hudson also has worked as a visiting engineer for Teradyne, Micron and Texas Instruments and built relationships that have led to internships for students, equipment for laboratories, great classroom examples, and funding for educational activities in the department. Microelectronic Systems Education Conference committee since 2007 diff --git a/src/data/compiled_bios/347.txt b/src/data/compiled_bios/347.txt new file mode 100644 index 0000000000..415204901d --- /dev/null +++ b/src/data/compiled_bios/347.txt @@ -0,0 +1 @@ +Name: Goodrum, Richard:: Position: Senior Lecturer (CS & CE):: Degrees: Ph.D., Computer Science,Southern Methodist University, Dallas, TX; M.S., Mathematics, University of Houston, Houston, TX; B.S., Mathematics,University of Houston, Houston, TX; ; ; Research Interests:; ; Algorithm Design; Cluster Computing; Graph Theory and Algorithms; High Performance Computing; Territorial Design; ; ; ; ; Representative Publications:; ; ; ; ; Richard A. Goodrum. Algorithms and Metrics for Territorial Design, Computer Science, Southern Methodist University, 2013; Richard A. Goodrum, Eli V. Olinick and David W. Matula, Generating Test Data for Hierarchy Determination Software, Raytheon Information Systems and Computing Technology Network (ISaCTN) 2010; Richard A. Goodrum, David W. Matula and Eli V. Olinick, Community Identification via Structured Concurrent Flow, INFORMS Annual Meeting, 2009.; Richard A. Goodrum, David W. Matula, and Eli V. Olinick, Understanding Community Structure Identification Algorithms, INSNA Sunbelt XXIX, 2009.; Dan I. Moldovan, Sanda M. Harabagiu, Marius Pasca, Rada Mihalcea, Roxana Girju, Richard Goodrum, Vasile Rus: The Structure and Performance of an Open-Domain Question Answering System. ACL 2000; Dan I. Moldovan, Sanda M. Harabagiu, Marius Pasca, Rada Mihalcea, Richard Goodrum, Roxana Girju, Vasile Rus: LASSO: A Tool for Surfing the Answer Net. TREC 1999; Richard A. Goodrum, Paresh G. Pattani, and Gautham M. Sastri, Characterizing Performance of Supercomputer Architectures with Concurrent Scalar/Vector Capability,Supercomputing 89, Reno, Nevada, 1989.; Henry Brysk, Marc Catheriner, Richard A. Goodrum, and Jean-Louis Pennacchioni, CGG American Services Inc., Predictive Deconvolution of Cylindrical Slant Stacks, SEG Technical Program Expanded Abstracts 6, 795, 1987.; Richard A. Goodrum, The E.M. Algorithm for Maximum Likelihood Estimates of Multivariate Normal Parameters with Incomplete Data, Masters Thesis, University of Houston, 1982.; K. C. Jain, R. R. Talley, J. A. Haggard, R. F. Kouri, R. A. Goodrum and D. E. Hartman, Integrated Use of Well Logs and Seismic Data in Exploration: State Line Area, Williston Basin, Shell Oil Company, 1978.; ; ; ; ; ; ; ; ; ; diff --git a/src/data/compiled_bios/3470.txt b/src/data/compiled_bios/3470.txt new file mode 100644 index 0000000000..2b4d4c07c6 --- /dev/null +++ b/src/data/compiled_bios/3470.txt @@ -0,0 +1 @@ +Dr. Yong Jin Daniel Kims interests include digital communications, information theory, channel and source coding and signal processing. He teaches a variety of courses covering wireless systems, discrete-time signals and systems, communication Systems, continuous-time signals and systems, and circuits and systems. diff --git a/src/data/compiled_bios/3471.txt b/src/data/compiled_bios/3471.txt new file mode 100644 index 0000000000..0b7e6c8e3c --- /dev/null +++ b/src/data/compiled_bios/3471.txt @@ -0,0 +1 @@ +Dr. Christopher Miller is an expert in embedded systems, digital system design, wireless communications, mobile computing, test and product engineering and robotics. He is a member of Rose-Hulmans Grand Challenges Group, an outreach program that works to increase fourth- and fifth-grade students interest in STEM through hands-on activities. diff --git a/src/data/compiled_bios/3472.txt b/src/data/compiled_bios/3472.txt new file mode 100644 index 0000000000..29c8f99444 --- /dev/null +++ b/src/data/compiled_bios/3472.txt @@ -0,0 +1 @@ +Dr. Daniel Moores areas of expertise include engineering design, electronics, engineering educational methods, engineering ethics and international design projects. He is involved in undergraduate capstone design projects and international team-based projects, and is co-director of dual masters degree program with the University of Applied Sciences in Ulm, Germany. Professionally, he is associate editor of the Advances in Engineering Education online, peer-reviewed journal, has been a program chair for the Frontiers in Education Conference the division chair for the American Society of Engineering Educations Educational Research Materials meetings, and is an ABET program evaluator at national and international locations. Dr. Moore co-advises the Alpha Phi Omega service organization. diff --git a/src/data/compiled_bios/3473.txt b/src/data/compiled_bios/3473.txt new file mode 100644 index 0000000000..fa9ad55d5a --- /dev/null +++ b/src/data/compiled_bios/3473.txt @@ -0,0 +1 @@ +Dr. Wayne Padgett specializes in fixed-point digital signal processing (DSP) programming. He conducts research on real-time DSP, acoustics and image processing, and is leading a student project experimenting with a microphone array. He has worked as a visiting professor for Texas Instruments, Rockwell Collins and Agere Systems. Dr. Padgett is very involved in humanitarian engineering projects and has joined with faculty colleagues to start a course that seeks to bring appropriate technology to developing countries. Outside of the classroom, Dr. Padgett enjoys cycling and has a private pilot certificate. Check out his personal web page. diff --git a/src/data/compiled_bios/3474.txt b/src/data/compiled_bios/3474.txt new file mode 100644 index 0000000000..4b308e9ace --- /dev/null +++ b/src/data/compiled_bios/3474.txt @@ -0,0 +1 @@ +Dr. Niusha Rostamkolais areas of specialization cover power engineering and controlengineering, including power system transmission, generation planning, stability and protection, alternative energy and control systems. He has industry experience working for General Electric and has been a consultant for American Electric Power, Duke Energy, Midcontinent Independent System Operators, Indianapolis Power & Light, Cummins and Caterpillar. Dr. Rostamkolai is a past-chair of the Institute of Electrical and Electronic Engineerscentral Indiana section. diff --git a/src/data/compiled_bios/3475.txt b/src/data/compiled_bios/3475.txt new file mode 100644 index 0000000000..b920e518e4 --- /dev/null +++ b/src/data/compiled_bios/3475.txt @@ -0,0 +1 @@ + Search for: Skip to content About Mission and Vision Leadership Chief Scientists Staff Directory Location Employment Room Request Research Computing & Networking Global Environment for Network Innovations PANORAMA RADII SciDAC: Nuclear Physics QCD SciDAC SUPER Scientific Data Analysis at Scale (SciDAS) Smart Grids XPRESS Data Science DataBridge DataNet Federation Consortium iRODS ImPACT NCDS South Big Data Hub xDCI Earth Data Science Research Coastal Hazard and Risk Modeling EarthCube Galapagos Science Center HydroShare Health Informatics & Biosciences Informatics for Genetic Sequencing NC TraCS Secure Research Space: Security for a world of distributed data Clinical Decision Support System (CDSS) Publications RENCI White Papers Scholarly Papers RENCI Tutorials Technical Reports Resources News News Releases Calendar Blog Images News Appearances Leadership Stanley C. Ahalt, Director Ashok Krishnamurthy, Deputy Director Management Team Stanley C. Ahalt is director of the Renaissance Computing Institute (RENCI), professor of computer science at the University of North Carolina at Chapel Hill, and the head of the Biomedical Informatics Core for the North Carolina Translational and Clinical Sciences Institute (NC TraCS). He is principal investigator for the Water Science Software Institute project, which seeks to build a cyberinfrastructure for managing, sharing and using water science data. As director of RENCI, he was instrumental in launching two major data science initiatives: The National Consortium for Data Science (NCDS), a public-private partnership to address big data challenges and opportunities in research and business; and iRODS, an effort to develop a branch of the popular integrated Rule-Oriented Data System as enterprise-quality software, complete with rigorous testing and a robust, feature-rich code base. Dr. Ahalt serves as a member of the executive board of the iRODS Consortium, an international group focused on long-term sustainability of the iRODS data management platform. He is also a co-PI with the DataNet Federation Consortium, a National Science Foundation project to prototype an integrated platform for sharing, using and managing data across distances and scientific fields. Other leadership roles include past chair of the Coalition for Academic Scientific Computing, former co-chair of the Ohio Broadband Council, extramural member of the National Cancer Institutes Advanced Biomedical Computing Centers Oversight Committee, and member of the Council on Competitiveness High Performance Computing Advisory Committee. He has authored or co-authored more than 120 technical papers and been principal investigator or co-principal investigator on research grants totaling more than $17 million. His recent research publications have focused on decoupling data through encryption. Before coming to RENCI in 2009, Dr. Ahalt was executive director of the Ohio Supercomputer Center (OSC) from 2003 2009 and a professor in the Department of Electrical and Computer Engineering at The Ohio State University for 22 years. Ahalt launched several model programs at OSC, including Blue Collar Computing, a national program to bring high performance computing to a wide spectrum of industries and applications, and OSCnet, a leading high-speed research network for K-12 schools, higher education and economic development. He holds a Ph.D. in electrical and computer engineering from Clemson University and masters and bachelors degrees in electrical engineering from Virginia Polytechnic Institute and State University. Education, Appointments and Honors Invited Presentations Professional Appointments and Services Publications Population Informatics Research Group / The Social Genome Project Contact Information: ahalt at renci.org 919-445-9641 Ashok Krishnamurthy is the Deputy Director of the Renaissance Computing Institute (RENCI), and a Research Professor of Computer Science at the University of North Carolina, Chapel Hill. He is also the Director for the Biomedical Informatics Service at NC TraCS. Krishnamurthy has many years of experience with informatics and data science including data science cyber-infrastructure, medical image analysis, time series data analysis, machine learning and high performance computing. He has over 15 years experience as both a researcher and an administrator in advancing cutting-edge research in interdisciplinary teams. Krishnamurthy collaborates with researchers in informatics, biomedical and health research, and social sciences to develop projects and programs that leverage the power of data science and scalable computing to solve challenging problems that advance the state-of-the-art. He advises undergraduate, and graduate students, and mentors post-doctoral scholars and junior investigators. He is also involved in managing and enhancing research partnerships with faculty at UNC Chapel Hill, Duke University and North Carolina State University, and building relationships between RENCI and Triangle area businesses. Ashoks research over the years has been funded by NSF, NIH, DoD, DARPA and DOE. Prior to joining RENCI and UNC in 2013, Krishnamurthy was for many years at the Ohio Supercomputer Center and a faculty member at The Ohio State University. While at OSC, Krishnamurthy played a crucial role in establishing OSCs successful industrial outreach initiative called Blue Collar Computing. He also helped develop and deploy cyberinfrastructure that allows researchers to easily access and use computing and storage resources at OSC. Krishnamurthy holds PhD and masters degrees in electrical and computer engineering from the University of Florida and a bachelors degree in electrical engineering from the Indian Institute of Technology. Jay Aikat is theChief Operating Officer in charge of managing day-to-day operations at RENCI in UNC-Chapel Hill (UNC-CH). Aikat is also a Research Assistant Professor in UNC-CHs department of computer science, where she hasmentored several undergraduate,masters and PhD students, andtaught undergraduate computer science classes. Herresearch interests arein computernetworking,cloud security, and data science.Sheplayed a crucial role inlaunching the Data@Carolina initiative at UNC-CH.Previously, she worked for eight years in leadership roles in Information Technology, mostly in academia. Aikat earned her PhD and MS in computer science from UNC-Chapel Hill. She also holds an MS in electrical and computer engineering from Ohio University and a BS in electrical and electronics engineering from the Birla Institute of Technology. Kristi Andrews is RENCIs finance manager. She is responsible for the institutes day-to-day fiscal management and research administration. This includes accounting, purchasing, travel, effort management and sponsored research administration. Kristi and her team are responsible for managing all institutional and sponsored research funding.RENCI sponsored research funding comes from a variety of sources, including the National Science Foundation, the National Institutes of Health, the Department of Energyand the Department of Homeland Security. Her team also provides assistance with submission of research proposals, ensuring that the institute remains in compliance with university, state and federal guidelines. In addition to RENCI, Kristis team also manages finance and research administration for the UNC Center for Natural Hazards Resilience and the Center for Galapagos Studies. Ilya Baldin leads RENCIs network research and infrastructure programs. He is a networking researcher with a wide range of interests, including high-speed optical network architectures, cross-layer interactions, novel signaling schemes, and network security. Before coming to RENCI, Baldin was the principal scientist at the Center for Advanced Network Research at the Research Triangle Institute and a network research engineer at the Advanced Network Research group at MCNC, where he was a team member and a leader of a number of federally funded research efforts. He holds PhD and MS degrees in computer science from North Carolina State University. Brian Blanton is RENCIs director of environmental initiatives and a coastal oceanographer with 15+ years of experience in coastal hazards and risk assessment, high performance computing, and earth sciences data analysis. He co-leads the Environmental Sciences group with Ray Idaszak, building connections between water-themed sciences and applications through sustainable software development and data management practices. His research usually involves applications of the storm-surge and wind-wave model ADCIRC, for problems such as how the Federal Emergency Management Agency computes coastal floodplain statistics, rapid statistical forecasting of storm surge, and risk-based coastal evacuation routing. He is also leading RENCIs efforts in bridging the gap between academic research and industrial applications through NSFs Industry/University Cooperative Research Centers program. He earned a PhD (2003) in Marine Sciences from the University of North Carolina at Chapel Hill, and a BS (1991) in mathematics from Armstrong State College in Savannah, Georgia. Chris Bizon is the acting director of Analytics and Data Science. He leads a team that applies a range of analytical methods including machine learning, visual analytics, semantic web-based reasoning, and textual annotation across many domains. He joined RENCI in 2008 as a member of the informatics group, where he worked in the areas of high-throughput sequencing, genomic analysis, and clinical genomics. Prior to joining RENCI, he spent a decade in the private sector working as both a developer and a researcher in the areas of fluid dynamics simulations and the application of machine learning to drug discovery. He holds a BS in Physics from the University of North Carolina at Chapel Hill and a PhD in Physics from the University of Texas at Austin, where he developed numerical models of nonlinear phenomena including pattern formation in oscillated granular media. Claris Castillo is RENCIs Assistant Director of DevOps and Cloud Strategist. She is a cyberinfrastructure and middleware expert who leads a team of scientists and software engineers in developing advanced middleware and cyberinfrastructure technologies that help accelerate data science. Before joining RENCI, Claris was a Research Staff Member at IBM T.J. Watson Research Center, where she developed novel middleware, resource management, and cloud technologies. She holds a PhD in Computer Science and a MS in Electrical Engineering from North Carolina State University. Jason Coposky is the executive director of iRODS Consortium. He leads the iRODS Consortium and the iRODS development team at RENCI. With over 20 years of industry experience, Jason has worked in a variety of technical fields, including virtual reality, EDA, visualization, and data management. Prior to RENCI, Jason was technical director for a startup where he developed projection and distortion correction technologies. Jason began his tenure at RENCI as the first member of the visualization team, creating novel large format display and multi-touch systems. He then moved to the iRODS@RENCI project as technical lead and later became chief technologist of the iRODS Consortium. In his current role, he provides management oversight for the entire Consortium. Rob Fowler di rects RENCIs high performance computing research projects, including efforts to analyze the effectiveness of high-end systems in serving the needs of scientists and to develop software tools that enhance the performance of grid-enabled applications. Fowler was previously a senior research scientist in the department of computer science and associate director of theCenter for High Performance Software Research at Rice University. He has served on the computer science faculty, in both regular and visiting positions, at several universities, including Rice, the University of Copenhagen, the University of Rochester and the University of Washington. He holds a PhD and masters in computer science from the University of Washington and a physics degree from Harvard College. Bonnie Hurst is RENCIs senior research project manager. Sheleads RENCIs project management team, which provides administrative and technical support to RENCIs major projects and initiatives. She is also the lead project manager for the iRODS Consortium, where her duties include, but are not limited to, handling member contracts and member/customer relations, facilitating all meetings iRODS meetings, coordinating events, managing customer relationships and CRM software, and managing day-to-day tasks for the Consortium. She previously provided similar services to RENCIs ExoGENI project team and participates in other RENCI initiatives as needed. Before coming to RENCI Bonnie was project manager for the Microelectronics Center of North Carolina (MCNC), where she managed major software development and research projects for the Center for Networked Information Discovery and Retrieval (CNIDR) and the Advanced Technologies Groupsboth research groups within (MCNC). Ray Idaszak is RENCIs director of DevOps. He leads a team of developers and engineers in using advanced engineering, open source, and analysis techniques in the development of cyberinfrastructure platforms. Prior to joining RENCI, Idaszak spent 12 years as chief technology officer and member of the board of directors of a collaborative environment company, where the products his team brought to market earned several industry awards. His work has appeared in magazines including National Geographic, Time, Scientific American, Discover, the cover of IEEE Computer, and on the PBS shows NOVA and The Infinite Voyage. Idaszak is listed on 12 patents and holds a computer science engineering degree from the University of Illinois Urbana-Champaign. Asia Mieczkowska is RENCIs Strategic Projects Coordinator and manager of the Administrative Support Group for the Office of the Director. In her position, Asia serves as an outreach liaison for RENCI groups and helps to coordinate activities across RENCI, UNC-CH, Duke, and NC State. She facilitates communications among researchers and supports progress toward milestones for large multi-institutional and/or multi-disciplinary projects. Asia and her team are responsible for creating comprehensive systems that streamline data collection, reporting, and administrative maintenance for the Office of the Director and RENCI staff. Her previous professional life includes K-12 teaching and managing one of UNC-CHs genetics laboratories focused on the research of transcription regulation of human and model organisms. She has supported the research in ENCODE and modENCODE projects funded by the National Institutes of Health. Asia holds a MA in literature from Warsaw University, Poland, and a post-graduate diploma in Human Resources Management from the School of Business and International Finances & International School of Managers in Warsaw, Poland. Marcin Sliwowski is the cyberinfrastructure manager in charge of managing day-to-day IT operations. Before coming to RENCI, he was a Linux administrator at the Pratt School of Engineering at Duke University and the NAS storage team lead in the Engineering Department at Cisco Systems. At Cisco, he led a team that was responsible for supporting a global storage infrastructure. He holds an MS in computer science from The College of William and Mary and a BS in computer science from Bucknell University. 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RENCI partners with researchers, government, and industry to engage and solve the problems that affect North Carolina, our nation, and the world. An institute of the University of North Carolina at Chapel Hill, RENCI was launched in 2004 as a collaboration involving UNC Chapel Hill, Duke University, and North Carolina State University. Partners Connect Twitter Facebook LinkedIn Youtube Flickr RSS 2019 RENCI diff --git a/src/data/compiled_bios/3476.txt b/src/data/compiled_bios/3476.txt new file mode 100644 index 0000000000..f5571ecb47 --- /dev/null +++ b/src/data/compiled_bios/3476.txt @@ -0,0 +1 @@ + Ron Alterovitz, Ph.D. Professor Department of Computer Science University of North Carolina at Chapel Hill Chapel Hill, NC 27599-3175 Office: 223 Sitterson Hall Phone: 919-590-6068 E-mail: ron @ cs.unc.edu Lab: Computational Robotics Research Group Ph.D., University of California, Berkeley M.S., University of California, Berkeley B.S., California Institute of Technology (Caltech) Ron Alterovitz is a Professor in the Department of Computer Science at the University of North Carolina at Chapel Hill. He leads the Computational Robotics Research Group which develops novel algorithms for robots to learn and plan their motions, with a focus on enabling robots to perform new, less invasive medical procedures and to assist people in their homes. Prior to joining UNC-Chapel Hill in 2009, Dr. Alterovitz earned his B.S. with Honors from Caltech, completed his Ph.D. at the University of California, Berkeley, and conducted postdoctoral research at the UCSF Comprehensive Cancer Center and the Robotics & AI group at LAAS-CNRS (National Center for Scientific Research) in Toulouse, France. Dr. Alterovitz has co-authored a book on Motion Planning in Medicine, was co-awarded a patent for a medical device, and has received multiple best paper awards at robotics and computer-assisted medicine conferences. He is the recipient of an NIH Ruth L. Kirschstein National Research Service Award, two UNC Computer Science Department Excellence in Teaching Awards, and an NSF Early Career Development (CAREER) Award. More information is available on the Computational Robotics Research Group site. Courses | Research | Students | Publications | CV diff --git a/src/data/compiled_bios/3477.txt b/src/data/compiled_bios/3477.txt new file mode 100644 index 0000000000..fe5b71d227 --- /dev/null +++ b/src/data/compiled_bios/3477.txt @@ -0,0 +1 @@ + CV / Bio Experience Awards Publications/Code Teaching Students/Interns Service Colloquia UNC-NLP Lab Mohit Bansal Assistant Professor (Director, UNC-NLP Lab ) Computer Science Dept. , UNC Chapel Hill FB-246, 201 S. Columbia St. Chapel Hill, NC 27599-3175 mbansal -atsign- cs -dot- unc -dot- edu Google Scholar , LinkedIn , Twitter Updates/News: Current Organization : (1) SpLU-RoboNLP Joint Workshop at NAACL 2019 ; (2) CVPR 2019 Workshop on Conceptual Captions ; (3) Colloquium Series on NLP+Vision (and related ML topics) -- pls submit/attend/visit! Current Service : Program Co-Chair: CoNLL 2019 ; Area Chair (Summarization): NAACL 2019 ; Area Chair (Discourse, Dialogue, Summarization, Generation, Multimodal NLP): EMNLP 2018 ; Tutorial Chair: NAACL 2018 . Please submit! Current Teaching : Adv NLP Topics: Recent Progress in Different Learning Paradigms in Spring19. Recent Invited Talks/Keynotes : 2018 : Triangle ML Day (Apr 3); Google Assistant Dialog Workshop (June26); Machine Learning Summer School (June 29); RSS-2018 Natural Human-Robot Communication Workshop (June 30); SAS-Nvidia Deep Learning Symposium (Sep 28); ML@GeorgiaTech Seminar (Nov 19); Kenan-InfiaML-Rethinc Machine Learning Symposium (Nov 30); UNC Alumni AI Panel (Dec 4) 2019 : 4th Workshop on Representation Learning for NLP (RepL4NLP @ ACL 2019) (Aug 2); 3rd Workshop on Neural Generation and Translation (WNGT @ EMNLP 2019) (Nov 3); 1st Workshop on Beyond Vision and Language: Integrating Knowledge from Real-World (LANTERN @ EMNLP 2019) (Nov 4). (01/19) Congrats to Ramakanth Pasunuru for the 2-year Microsoft Research PhD Fellowship ! (12/18) Congrats to Han Guo for the CRA Outstanding Undergraduate Researcher Award Honorable Mention ! (11/18) Thanks to research awards from Salesforce , Facebook , and IBM . (10/18) 2 new papers in AAAI 2019 (16% acceptance rate). (08/18) 7 new papers (6 in EMNLP; 1 in CoNLL -- see below ). (07/18) Thanks to Army Research Office for the ARO Young Investigator Program (YIP) Award . (07/18) 1st rank in EMNLP FEVER (Fact Extraction & VERification) shared task (congrats Yixin, Haonan)! [ Press Article ] (06/18) COLING paper on dynamic-MTL selected as " Area Chair Favorites " (congrats Han+Ram)! (04/18) 4 new papers (2 in ACL; 1 in TACL; 1 in WiNLP -- see below ). (04/18) Congrats to Lisa Bauer for the 3-year NSF PhD Fellowship ! (03/18) Thanks to Adobe for the Adobe Research Award . (02/18) 9 new 2018 papers in NAACL, CVPR, AAAI, WACV (see below ). (09/17) Thanks to DARPA for the DARPA Young Faculty Award ( link ). (09/17) Thanks to Facebook for the Facebook ParlAI Research Award . (06/17) Top single model results on the RepEval-NLI Shared Task at EMNLP 2017 (congrats Yixin!). (06/17) Outstanding Paper Award at ACL 2017 (congrats Ram!). (02/17) Thanks to Google for a Google Faculty Research Award ( link ). (07/16) Best paper award at ACL 2016 Repl4NLP workshop for paper on mapping unseen words. (03/16) Thanks to Bloomberg for a Bloomberg Data Science Research Grant ( link ). (02/16) Paper on universal sentence embeddings selected as an oral at ICLR 2016 . (01/16) Our work on AI for computational humor was covered in MIT Technology Review and Newsweek . (11/15) Nvidia paper award at NIPS 2015 Multimodal ML workshop for paper on navigational instruction following. (12/14) Thanks for an IBM Faculty Award and a Google Faculty Research Award ( link ). I am looking for motivated PhD students and postdocs in NLP, ML, and multimodal AI: [ Info for Prospective Students ] [ Department's Why-UNC Page ] Postdoc Opening: [ link ] About Dr. Mohit Bansal is the Director of the UNC-NLP Lab and an assistant professor in the Computer Science department at the University of North Carolina (UNC) Chapel Hill . Prior to this, he was a research assistant professor (3-year endowed position) at TTI-Chicago . He received his Ph.D. in 2013 from the University of California at Berkeley (where he was advised by Dan Klein ) and his B.Tech. from the Indian Institute of Technology at Kanpur in 2008. He has also spent time at Google Research, Microsoft Research, and Cornell University. His research expertise is in statistical natural language processing and machine learning, with a particular focus on multimodal, grounded, and embodied semantics (i.e., language with vision and speech, for robotics), human-like language generation and Q&A/dialogue, and interpretable and generalizable deep learning. He is a recipient of the 2018 ARO Young Investigator Award (YIP), 2017 DARPA Young Faculty Award (YFA), 2017 ACL Outstanding Paper Award, 2014 ACL Best Paper Award Honorable Mention, 2018 COLING Area Chair Favorites Paper Award, and several faculty awards from Google (2016, 2014), Facebook (2018, 2017), IBM (2018, 2014), Adobe (2018), and Bloomberg (2016). Research Interests Statistical natural language processing and machine learning, with a focus on multimodal, grounded, and embodied semantics (i.e., language with vision and speech, for robotics), human-like language generation and Q&A/dialogue, and interpretable and generalizable deep learning. Work Experience Computer Science department, UNC Chapel Hill (2016 present) Assistant Professor (Director, UNC-NLP Lab ) Toyota Technological Institute, Chicago (2013 2016) Research Assistant Professor EECS, UC Berkeley (2008 2013) Graduate Student Researcher (Advisor: Dan Klein) Google Research, Mountain View (Summer 2011) Research Intern (with John DeNero and Dekang Lin) Microsoft Research, Redmond (Summer 2010) Research Intern (with Chris Quirk and Bob Moore) Cornell University, Ithaca (Summer 2007) Research Intern (with Lillian Lee and Claire Cardie) Honors/Awards Salesforce Research Deep Learning Grant , 2018 Facebook Faculty Research Award , 2018 IBM Faculty Award , 2018 Army Research Office Young Investigator Award (ARO-YIP) , 2018 COLING 'Area Chair Favorites' Paper Award , 2018 Adobe Faculty Research Award , 2018 Verisk AI Faculty Research Award, 2018 DARPA Young Faculty Award (DARPA-YFA) , 2017 Facebook ParlAI Faculty Research Award , 2017 ACL Outstanding Paper Award , 2017 Google Faculty Research Award , 2016 Best Paper Award, ACL Representation Learning for NLP Workshop , 2016 Bloomberg Data Science Research Grant , 2016 NVidia Paper Award, NIPS Multimodal Machine Learning Workshop , 2015 Google Faculty Research Award , 2014 IBM Faculty Award , 2014 ACL Best Paper Award Honorable Mention (top-5 paper) , 2014 Best/Outstanding Reviewer Award, COLING 2018 , NAACL 2018 , NAACL 2015 , EMNLP 2012 Outstanding Graduate Student Instructor Award, UC Berkeley , 2011 Tong Leong Lim Pre-Doctoral Prize, EECS, UC Berkeley , 2011 Qualcomm Innovation Fellowship , 2011 Publications (+Code/Data) (most conferences below (incl. short paper proceedings) have a <25% acceptance rate ; google scholar based list of top-ranked conferences in NLP , vision , AI/ML , robotics ) REFEREED PUBLICATIONS : 2019 Combining Fact Extraction and Verification with Neural Semantic Matching Networks (new) Yixin Nie, Haonan Chen, and Mohit Bansal. Proceedings of AAAI 2019 , Honolulu, Hawaii. [ pdf ][ bib ][ code ] Analyzing Compositionality-Sensitivity of NLI Models (new) Yixin Nie*, Yicheng Wang*, and Mohit Bansal. Proceedings of AAAI 2019 , Honolulu, Hawaii. [ pdf ][ bib ][ data/code ] DSTC7-AVSD: Scene-Aware Video-Dialogue Systems with Dual Attention (new) Ramakanth Pasunuru and Mohit Bansal Proceedings of Dialog System Technology Challenges Workshop , AAAI 2019, Honolulu, Hawaii. [ pdf ][ bib ] ( Selected Oral ) Efficient Generation of Motion Plans from Attribute-Based Natural Language Instructions Using Dynamic Constraint Mapping (new) Jae Sung Park, Biao Jia, Mohit Bansal, and Dinesh Manocha Proceedings of ICRA 2019 , Montreal, Canada. [ pdf ][ bib ][ demo ] 2018 Closed-Book Training to Improve Summarization Encoder Memory (new) Yichen Jiang and Mohit Bansal. Proceedings of EMNLP 2018 , Brussels, Belgium. [ pdf ][ bib ] SafeCity: Understanding Diverse Forms of Sexual Harassment Personal Stories (new) Sweta Karlekar and Mohit Bansal. Proceedings of EMNLP 2018 , Brussels, Belgium (short papers). [ pdf ][ bib ][ data ] Commonsense for Generative Multi-Hop Question Answering Tasks (new) Lisa Bauer*, Yicheng Wang*, and Mohit Bansal. Proceedings of EMNLP 2018 , Brussels, Belgium. [ pdf ][ bib ] Game-Based Video-Context Dialogue (new) Ramakanth Pasunuru and Mohit Bansal. Proceedings of EMNLP 2018 , Brussels, Belgium. [ pdf (v2) ][ bib ][ data/code ] TVQA: Localized, Compositional Video Question Answering (new) Jie Lei, Licheng Yu, Mohit Bansal, and Tamara Berg. Proceedings of EMNLP 2018 , Brussels, Belgium. [ pdf ][ bib ][ website ] Incorporating Background Knowledge into Video Description Generation (new) Spencer Whitehead, Heng Ji, Mohit Bansal, Shih-Fu Chang, and Clare Voss. Proceedings of EMNLP 2018 , Brussels, Belgium. [ pdf ][ bib ] Adversarial Over-Sensitivity and Over-Stability Strategies for Dialogue Models (new) Tong Niu and Mohit Bansal. Proceedings of CoNLL 2018 , Brussels, Belgium. [ pdf ][ bib ][ code ] Combining Fact Extraction and Claim Verification in an NLI Model (new) Yixin Nie, Haonan Chen, and Mohit Bansal. In Fact Extraction and Verification (FEVER) Workshop (non-archival), EMNLP 2018, Brussels, Belgium. (extended AAAI version: [ pdf ]) ( 1st Rank Model in Shared Task ) [ Press Article ] Dynamic Multi-Level Multi-Task Learning for Sentence Simplification (new) Han Guo, Ramakanth Pasunuru, and Mohit Bansal. Proceedings of COLING 2018 , Santa Fe, New Mexico. [ pdf ][ bib ][ code ] ( Area Chair Favorites ) Polite Dialogue Generation Without Parallel Data (new) Tong Niu and Mohit Bansal. Proceedings of TACL 2018 . Presented at EMNLP 2018 , Brussels, Belgium. [ pdf ][ bib ][ code ] Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting (new) Yen-Chun Chen and Mohit Bansal. Proceedings of ACL 2018 , Melbourne, Australia. [ pdf ][ bib ][ code ] Soft, Layer-Specific Multi-Task Summarization with Entailment and Question Generation (new) Han Guo*, Ramakanth Pasunuru*, and Mohit Bansal. Proceedings of ACL 2018 , Melbourne, Australia. [ pdf ][ bib ] #MeToo: Neural Detection and Explanation of Language in Personal Abuse Stories (new) Sweta Karlekar and Mohit Bansal. Proceedings of WiNLP 2018 (Widening NLP Workshop), NAACL 2018 , New Orleans, LA. [ pdf ][ bib ] Object Ordering with Bidirectional Matchings for Visual Reasoning (new) Hao Tan and Mohit Bansal. Proceedings of NAACL 2018 , New Orleans, LA (short papers). [ pdf ][ bib ] ( Top Image Leaderboard Position ) Multi-Reward Reinforced Summarization with Saliency and Entailment (new) Ramakanth Pasunuru and Mohit Bansal. Proceedings of NAACL 2018 , New Orleans, LA (short papers). [ pdf ][ bib ] Detecting Linguistic Characteristics of Alzheimer's Dementia by Interpreting Neural Models (new) Sweta Karlekar, Tong Niu, and Mohit Bansal. Proceedings of NAACL 2018 , New Orleans, LA (short papers). [ pdf ][ bib ] Robust Machine Comprehension Models via Adversarial Training (new) Yicheng Wang and Mohit Bansal. Proceedings of NAACL 2018 , New Orleans, LA (short papers). [ pdf ][ bib ] Punny Captions: Witty Wordplay in Image Descriptions (new) Arjun Chandrasekaran, Devi Parikh, and Mohit Bansal. Proceedings of NAACL 2018 , New Orleans, LA (short papers). [ pdf ][ bib ] Joint Modeling of Text and Acoustic-Prosodic Cues for Neural Parsing (new) Trang Tran*, Shubham Toshniwal*, Mohit Bansal, Kevin Gimpel, Karen Livescu, and Mari Ostendorf. Proceedings of NAACL 2018 , New Orleans, LA. [ pdf ][ bib ] MAttNet: Modular Attention Network for Referring Expression Comprehension (new) Licheng Yu, Zhe Lin, Xiaohui Shen, Jimei Yang, Xin Lu, Mohit Bansal, Tamara Berg. Proceedings of CVPR 2018 , Salt Lake City, UT. [ pdf ][ bib ][ DEMO ] Source-Target Inference Models for Spatial Instruction Understanding (new) Hao Tan and Mohit Bansal. Proceedings of AAAI 2018 , New Orleans, LA. [ pdf ][ bib ] Retweet Wars: Tweet Popularity Prediction via Multimodal Regression (new) Ke Wang, Mohit Bansal, and Jan-Michael Frahm. Proceedings of WACV 2018 , Lake Tahoe, CA. [ pdf ][ bib ] 2017 Interactive-Length Multi-Task Video Captioning with Cooperative Feedback Han Guo, Ramakanth Pasunuru, and Mohit Bansal. Proceedings of NIPS 2017 , Long Beach, CA (demo papers). [ pdf ][ bib ] Reinforced Video Captioning with Entailment Rewards Ramakanth Pasunuru and Mohit Bansal. Proceedings of EMNLP 2017 , Copenhagen, Denmark (short papers). [ pdf ][ bib ][ code ] Hierarchically-Attentive RNN for Album Summarization and Storytelling Licheng Yu, Mohit Bansal, and Tamara Berg. Proceedings of EMNLP 2017 , Copenhagen, Denmark (short papers). [ pdf ][ bib ] Video Highlight Prediction Using Audience Chat Reactions Cheng-Yang Fu, Joon Lee, Mohit Bansal, and Alexander Berg. Proceedings of EMNLP 2017 , Copenhagen, Denmark (short papers). [ pdf ][ bib ][ code/data ] Shortcut-Stacked Sentence Encoders for Multi-Domain Inference Yixin Nie and Mohit Bansal. Proceedings of RepEval Workshop , EMNLP 2017 , Copenhagen, Denmark. [ pdf ][ bib ][ code ] ( Top Single Model in Shared Task ) ( Top Encoding-based Model in SNLI Leaderboard ) Towards Improving Abstractive Summarization via Entailment Generation Ramakanth Pasunuru, Han Guo, and Mohit Bansal. Proceedings of Workshop on Summarization Frontiers , EMNLP 2017 , Copenhagen, Denmark. [ pdf ][ bib ] ( Contributed Talk ) Multi-Task Video Captioning with Video and Entailment Generation Ramakanth Pasunuru and Mohit Bansal. Proceedings of ACL 2017 , Vancouver, Canada. [ pdf ][ bib ] ( ACL Outstanding Paper Award ) A Joint Speaker-Listener-Reinforcer Model for Referring Expressions Licheng Yu, Hao Tan, Mohit Bansal, and Tamara L. Berg. Proceedings of CVPR 2017 , Honolulu, HI. [ pdf ][ bib ] ( Spotlight ; 8% acceptance rate) Navigational Instruction Generation as Inverse Reinforcement Learning with Neural Machine Translation Andrea F. Daniele, Mohit Bansal, and Matthew R. Walter. Proceedings of HRI 2017 (Human-Robot Interaction), Vienna, Austria. [ pdf ][ bib ] Contextual RNN-GANs for Abstract Reasoning Diagram Generation Arnab Ghosh, Viveka Kulharia, Amitabha Mukerjee, Vinay Namboodiri, and Mohit Bansal. Proceedings of AAAI 2017 , San Francisco, CA. [ pdf ][ bib ] Coherent Dialogue with Attention-based Language Models Hongyuan Mei, Mohit Bansal, and Matthew Walter. Proceedings of AAAI 2017 , San Francisco, CA. [ pdf ][ bib ] 2016 Interpreting Neural Networks to Improve Politeness Comprehension Malika Aubakirova and Mohit Bansal. Proceedings of EMNLP 2016 , Austin, TX (short papers). [ pdf ][ bib ] Sort Story: Sorting Jumbled Images and Captions into Stories Harsh Agrawal, Arjun Chandrasekaran, Dhruv Batra, Devi Parikh, and Mohit Bansal. Proceedings of EMNLP 2016 , Austin, TX (short papers). [ pdf ][ bib ] Question Relevance in VQA: Identifying Non-Visual And False-Premise Questions Arijit Ray, Gordon Christie, Mohit Bansal, Dhruv Batra, and Devi Parikh. Proceedings of EMNLP 2016 , Austin, TX (short papers). [ pdf ][ bib ] Who did What: A Large-Scale Person-Centered Cloze Dataset Takeshi Onishi, Hai Wang, Mohit Bansal, Kevin Gimpel, and David McAllester. Proceedings of EMNLP 2016 , Austin, TX (short papers). [ pdf ][ bib ] Charagram: Embedding Words and Sentences via Character n-grams John Wieting, Mohit Bansal, Kevin Gimpel, and Karen Livescu. Proceedings of EMNLP 2016 , Austin, TX. [ pdf ][ bib ][ code ] End-to-end Relation Extraction using LSTMs on Sequences and Tree Structures Makoto Miwa and Mohit Bansal. Proceedings of ACL 2016 , Berlin, Germany. [ pdf ][ bib ][ code ] Mapping Unseen Words to Task-Trained Embedding Spaces Pranava Swaroop Madhyastha, Mohit Bansal, Kevin Gimpel, and Karen Livescu. Proceedings of Workshop on Representation Learning for NLP , ACL 2016 , Berlin, Germany [ pdf ][ bib ] ( Best Paper Award ) What to talk about and how? Selective Generation using LSTMs with Coarse-to-Fine Alignment Hongyuan Mei, Mohit Bansal, and Matthew R. Walter. Proceedings of NAACL 2016 , San Diego, CA. [ pdf ][ bib ] The Role of Context Types and Dimensionality in Learning Word Embeddings Oren Melamud, David McClosky, Siddharth Patwardhan, and Mohit Bansal. Proceedings of NAACL 2016 , San Diego, CA. [ pdf ][ bib ] We Are Humor Beings: Understanding and Predicting Visual Humor Arjun Chandrasekaran, Ashwin Kalyan, Stanislaw Antol, Mohit Bansal, Dhruv Batra, C. Lawrence Zitnick, and Devi Parikh. Proceedings of CVPR 2016 , Las Vegas, Nevada. [ pdf ][ bib ][ data ] ( Spotlight ; 9.7% acceptance rate) Towards Universal Paraphrastic Sentence Embeddings John Wieting, Mohit Bansal, Kevin Gimpel, and Karen Livescu. Proceedings of ICLR 2016 , San Juan, Puerto Rico. [ pdf ][ bib ][ data/code ] ( Oral ; 5.7% acceptance rate) Listen, Attend, and Walk: Neural Mapping of Navigational Instructions to Action Sequences Hongyuan Mei, Mohit Bansal, and Matthew R. Walter. Proceedings of AAAI 2016 , Phoenix, Arizona. [ pdf ][ bib ] ( NVidia Paper Award in NIPS 2015 Multimodal Machine Learning workshop) 2015 Machine Comprehension with Syntax, Frames, and Semantics Hai Wang, Mohit Bansal, Kevin Gimpel, and David McAllester. Proceedings of ACL 2015 , Beijing, China (short papers). [ pdf ][ bib ] From Paraphrase Database to Compositional Paraphrase Model and Back John Wieting, Mohit Bansal, Kevin Gimpel, Karen Livescu, and Dan Roth. Proceedings of TACL . To be presented at EMNLP 2015 , Lisbon, Portugal. [ pdf ][ bib ][ data/code ] [ pdf v2 (see Appendix A)][ new 300-dim embeddings ] Dependency Link Embeddings: Continuous Representations of Syntactic Substructures Mohit Bansal. Proceedings of Workshop on Vector Space Modeling for NLP ( selected oral ), NAACL 2015 , Denver, Colorado. [ pdf ][ slides ][ bib ][ data ] Deep Multilingual Correlation for Improved Word Embeddings Ang Lu, Weiran Wang, Mohit Bansal, Kevin Gimpel, and Karen Livescu. Proceedings of NAACL 2015 , Denver, Colorado (short papers). [ pdf ][ bib ][ code ] A Sense-Topic Model for Word Sense Induction with Unsupervised Data Enrichment Jing Wang, Mohit Bansal, Kevin Gimpel, Brian Ziebart, and Clement Yu. Proceedings of TACL . Presented at NAACL 2015 , Denver, Colorado. [ pdf ][ bib ] Accurate Vision-based Vehicle Localization using Satellite Imagery Hang Chu, Hongyuan Mei, Mohit Bansal, and Matthew R. Walter. Proceedings of NIPS 2015 Workshop on Transfer and Multi-Task Learning , Montreal, Canada. [ pdf ][ bib ] 2014 Weakly-Supervised Learning with Cost-Augmented Contrastive Estimation Kevin Gimpel and Mohit Bansal. Proceedings of EMNLP 2014 . Doha, Qatar. [ pdf ][ supplementary ][ bib ] Tailoring Continuous Word Representations for Dependency Parsing Mohit Bansal, Kevin Gimpel, and Karen Livescu. Proceedings of ACL 2014 . Baltimore, MD, USA (short papers). [ pdf ][ slides ][ bib ][ data ] Structured Learning for Taxonomy Induction with Belief Propagation Mohit Bansal, David Burkett, Gerard de Melo, and Dan Klein. Proceedings of ACL 2014 . Baltimore, MD, USA. [ pdf , errata ][ slides ][ bib ][ data ] ( ACL Best Paper Award Honorable Mention -- top-5 paper ) What are you talking about? Text-to-Image Coreference Chen Kong, Dahua Lin, Mohit Bansal, Raquel Urtasun, and Sanja Fidler. Proceedings of CVPR 2014 . Columbus, OH, USA. [ pdf ][ bib ][ data/code ] 2013 2009 Good, Great, Excellent: Global Inference of Semantic Intensities Gerard de Melo and Mohit Bansal. Proceedings of TACL . Presented at ACL 2013 . Sofia, Bulgaria. [ pdf ][ slides ][ bib ][ data/code ] Coreference Semantics from Web Features Mohit Bansal and Dan Klein. Proceedings of ACL 2012 . Jeju, South Korea. [ pdf ][ slides ][ bib ][ code ] Unsupervised Translation Sense Clustering Mohit Bansal, John DeNero, and Dekang Lin. Proceedings of NAACL 2012 . Montreal, Canada. [ pdf ][ slides ][ bib ] Web-Scale Features for Full-Scale Parsing Mohit Bansal and Dan Klein. Proceedings of ACL 2011 . Portland, OR, USA. [ pdf , errata ][ slides ][ bib ] Gappy Phrasal Alignment By Agreement Mohit Bansal, Chris Quirk, and Robert Moore. Proceedings of ACL 2011 . Portland, OR, USA. [ pdf ][ slides ][ bib ] The Surprising Variance in Shortest-Derivation Parsing Mohit Bansal and Dan Klein. Proceedings of ACL 2011 . Portland, OR, USA (short papers). [ pdf ][ bib ] Mention Detection: Heuristics for the OntoNotes annotations Jonathan K. Kummerfeld, Mohit Bansal, David Burkett, and Dan Klein. Proceedings of CoNLL 2011 (shared task). Portland, OR, USA. [ pdf ][ bib ] Simple, Accurate Parsing with an All-Fragments Grammar Mohit Bansal and Dan Klein. Proceedings of ACL 2010 . Uppsala, Sweden. [ pdf ][ slides ][ bib ] Efficient Parsing for Transducer Grammars John DeNero, Mohit Bansal, Adam Pauls, and Dan Klein. Proceedings of NAACL 2009 . Boulder, CO, USA. [ pdf ][ slides ][ bib ] 2008 2007 The power of negative thinking: Exploiting label disagreement in the min-cut classification framework Mohit Bansal, Claire Cardie, and Lillian Lee. Proceedings of COLING 2008 . Manchester, UK (short papers). [ pdf ][ slides ][ bib ] Estimating Hybrid Frequency Moments of Data Streams Sumit Ganguly, Mohit Bansal, and Shruti Dube. Proceedings of FAW 2008 . Changsha, China. Also accepted in the Journal of Combinatorial Optimization (JOCO) . [ pdf ][ bib ] Text Processing for Text-to-Speech Systems in Indian Languages Anand A Raj, Tanuja Sarkar, Satish C Pammi, Santhosh Yuvaraj, Mohit Bansal, Kishore Prahallad, and Alan W Black. Proceedings of ISCA SSW6 2007 . Bonn, Germany. [ pdf ][ bib ] OTHERS : Generating Realtime Motion Plans from Attribute-Based Natural Language Instructions Using Dynamic Constraint Mapping (new) Jae Sung Park,Biao Jia,Mohit Bansal,Dinesh Manocha. arXiv Preprint: 1707.02387. [ pdf ][ bib ] Learning Articulated Motion Models from Visual and Lingual Signals (new) Zhengyang Wu, Mohit Bansal, and Matthew R. Walter. Preprint arXiv:1511.05526, 2016. [ pdf ][ bib ] Web-scale Surface and Syntactic n-gram Features for Dependency Parsing (new) Dominick Ng, Mohit Bansal, and James R. Curran. Preprint arXiv:1502.07038, 2015. [ pdf ][ bib ][ code ] THESES : Surface Web Semantics for Structured Natural Language Processing Mohit Bansal, Ph.D. Thesis. EECS, UC Berkeley. Committee: Dan Klein (chair), Marti Hearst, Line Mikkelsen, Nelson Morgan. [ pdf ] An All-Fragments Grammar for Simple and Accurate Parsing Mohit Bansal, M.S. Thesis. EECS, UC Berkeley. Advisor: Dan Klein. [ pdf ] Patents : Techniques for generating translation clusters John DeNero and Mohit Bansal. Publication number: US20130275118 A1 (Oct 17, 2013) Teaching Instructor, Advanced Topics in NLP: Recent Progress in Different Learning Paradigms , UNC Chapel Hill, Spring 2019. Instructor, Advanced Topics in NLP: Conversational Models , UNC Chapel Hill, Spring 2018. Instructor, Graduate Natural Language Processing , UNC Chapel Hill, Fall 2017. Instructor, Advanced Topics in NLP: Language Grounding for Robotics , UNC Chapel Hill, Spring 2017. Instructor, Seminar on Natural Language Processing , UNC Chapel Hill, Fall 2016. Guest Lecturer, Computational Linguistics ( Instructor : John Goldsmith), University of Chicago, Spring 2015. Guest Lecturer, Robotics and Artificial Intelligence ( Instructor : Matthew Walter), TTI-Chicago, University of Chicago, Spring 2015. Guest Lecturer, Visual Recognition with Text ( Instructor : Sanja Fidler), University of Toronto, Winter 2015 short course on 'Topics, Trends, and Resources in NLP' [ slides ]. Grad Student Instructor, Introduction to Artificial Intelligence ( Instructor : Dan Klein), UC Berkeley, Fall 2011. Received an Outstanding Graduate Student Instructor Award by UC Berkeley for excellence in teaching. Grad Student Instructor, Advanced Topics in Artificial Intelligence ( Instructors : Pieter Abbeel, Dan Klein, Jitendra Malik), UC Berkeley, Spring 2009. Sole TA for new course with 30 advanced students. Students/Interns Student openings : I am looking for highly motivated PhD students. If you are interested in the broad areas of multimodal NLP (with vision and speech, for robotics), language generation and dialogue/Q&A, and structured+interpretable deep learning, please see my prospective student page and contact me at mbansal-AT-cs-DOT-unc-DOT-edu for further details. More student info at: UNC-NLP Lab UNC Advisees : Robbie Allen (UNC, PhD) Lisa Bauer (UNC, PhD) Yen-Chun Chen (UNC, MS) Tsion Coulter (UNC, BS) Han Guo (UNC, BS) Darryl Hannan (UNC, PhD) Yichen Jiang (UNC, MS) Sweta Karlekar (UNC, BS) Jie Lei (UNC, PhD; co-advised with Tamara Berg) Yixin Nie (UNC, PhD) Ramakanth Pasunuru (UNC, PhD) Hao Tan (UNC, PhD) Yicheng Wang (UNC, BS) Shiyue Zhang (UNC, PhD) Xiang Zhou (UNC, PhD) Other Advisees : Arjun Chandrasekaran (Georgia Tech, PhD; advisor = Devi Parikh) (PhD Thesis Committee Member) Nitish Joshi (Visiting student; IIT Bombay, BS) Tong Niu (Visiting student; Duke, MS) Licheng Yu (UNC, PhD; advisor = Tamara Berg) (PhD Thesis Committee Member) Past Advisees : Malika Aubakirova (UChicago, BS) Dhivya Eswaran (IIT-Madras, BTech --> CMU, PhD) Rasool Fakoor (UT-Arlington, PhD --> MSR) Arnab Ghosh (IIT Kanpur, BTech --> Oxford, PhD) Yuchen He (UIUC, PhD) Myungin Kim (UChicago, MS) Zuyao Li (USC, MS --> Google/Nest) Ang Lu (Tsinghua, BS --> CMU, MS) Pranava S. Madhyastha (UPC Barcelona, PhD) Hongyuan Mei (UChicago/TTIC, MS --> JHU, PhD) (MS Thesis Co-Advisor) Aravind L Srinivas (IIT Madras, BTech --> UC Berkeley, PhD) Ryan Stout (UIUC, MS) Trang Tran (UWash, PhD) Jing Wang (UIC, PhD --> Conversant) John Wieting (UIUC/TTIC MS --> CMU, PhD) Zhengyang Wu (GeorgiaTech, BS --> MagicLeap) Professional Service Program Co-Chair : CoNLL 2019 Area Chair (Summarization) : NAACL 2019 Area Chair (Discourse, Dialogue, Summarization, Generation, Multimodal NLP) : EMNLP 2018 Tutorial Chair : NAACL 2018 Area Chair (Vision, Robots, and Grounding) : ACL 2017 Area Chair (Machine Learning) : EMNLP 2017 Demo Chair : ACL 2017 Tutorial Chair : NAACL 2016 Area Chair : NAACL 2016 Program Committee Member / Reviewer : Conferences : EMNLP (best reviewer award, 2012), NAACL (best reviewer award, 2018, 2015), ACL, NIPS, ICLR, IJCAI, EACL, COLING (outstanding reviewer award, 2018), *SEM, IJCNLP, ICON Journals : TACL, TPAMI, TALIP Workshops : ACL Workshop of Women in Natural Language Processing (2017), ACL Workshop on Representation Learning for NLP (2017), EACL Workshop on Ethics in Natural Language Processing (2017), NAACL Multilingual and Crosslingual Methods in NLP (2016), NAACL Human-Computer Question Answering (2016), ACL Evaluating Vector-Space Representations for NLP (2016), NAACL Vector Space Modeling for NLP (2015) University Research Proposals : ORAU Organizer : SpLU-RoboNLP Joint Workshop at NAACL 2019 , CVPR 2019 Workshop on Conceptual Captions , NLP/ML Colloquium Series at UNC , Language Grounding for Robotics at ACL 2017 , Midwest Speech and Language Days 2015 Committee Member : Graduate (PhD) Admissions Committee, EECS, UC Berkeley Panel Member : National Science Foundation (NSF) Review Panels Software and Datasets : Available as links with corresponding paper in Publications/Code/Data . diff --git a/src/data/compiled_bios/3478.txt b/src/data/compiled_bios/3478.txt new file mode 100644 index 0000000000..d986873857 --- /dev/null +++ b/src/data/compiled_bios/3478.txt @@ -0,0 +1 @@ + Alexander C. Berg UNC Chapel Hill Computer Science Office: Sitterson 256 Chapel Hill, NC 27599-3175 aberg - - at - - cs.unc.edu Publications I am an associate professor at UNC Chapel Hill as of July 2016 and joined UNC in August 2013. I am also the CTO of Shopagon Inc. Previously I was an assistant professor at Stony Brook University. I completed a Ph.D. at U.C. Berkeley with J itendra Malik , and have had the chance to work with many wonderful people . I am interested in all aspects of computer vision and related problems in other fields. My thesis was on shape and object recognition in images using a new take on deformable templates. I also work on large scale machine learning algorithms for object recognition and detection, image retrieval, recognizing and synthesizing human action in video, recovering human body poses from photographs, detecting and identifying human faces in images, detecting vehicles in images, and more... Note for potential graduate students. Publications You can find my papers and citations on Google Scholar here . Video Highlight Prediction Using Audience Chat Reactions Cheng-Yang Fu, Joon Lee, Mohit Bansal, Alexander C. Berg, Empirical Methods in Natural Language Processing (EMNLP), 2017. [Code/Dataset] Synthesizing training data for object detection in indoor scenes G. Georgakis , A. Mousavian , A.C. Berg , J. Koeck , Robotics Science and Systems (RSS) 2017 A Dataset for Developing and Benchmarking Active Vision Philip Ammirato , Patrick Poirson , Eunbyung Park , Jana Koeck , Alexander C. Berg International Conference on Robotics and Automation (ICRA) 2017 Transformation-grounded Image Generation Network for Novel 3d View Synthesis Eunbyung Park, Jimei Yang, Ersin Yumer, Duygu Ceylan, Alexander C. Berg. Computer Vision and Pattern Reccognition (CVPR) 2017. When was that made? Sirion Vittayakorn, Alexander C. Berg, Tamara L. Berg Winter Conference on Applications of Computer Vision (WACV) 2017. Modeling Context in Referring Expressions Licheng Yu, Patrick Poirson, Shan Yang, Alexander C. Berg, Tamara L. Berg, European Conference on Computer Vision (ECCV) 2016. [Dataset] SSD: Single Shot MultiBox Detector [code] Wei Liu , D. Anguelov , D. Erhan , C. Szegedy , S. Reed , C-Y Fu , A.C. Berg Arxiv preprint ECCV 2016 (oral) Fast Single Shot Detection and Pose Estimation Patrick Poirson , Philip Ammirato , Cheng-Yang Fu , Wei Liu , Jana Koeck , Alexander C. Berg 3DV 2016 Combining Multiple Sources of Knowledge in Deep CNNs for Action Recognition Eunbyung Park, Xufeng Han, Tamara L. Berg, Alexander C. Berg. IEEE Winter Conference on Computer Vision (WACV) 2016. Where to buy it: Matching Street clothing Photos to Online Shops Hadi Kiapour, Xufeng Han, Svetlana Lazebnik, Alexander C. Berg, Tamara L. Berg International Conference on Computer Vision (ICCV) 2015 (oral). Visual Madlibs: Fill in the blank Description Generation and Question Answering Licheng Yu, Eunbyung Park, Alexander C. Berg, Tamara L. Berg, International Conference on Computer Vision (ICCV 2015) (ArXiv, May 2015). Project Page Efficient Two-View Geometry Classification Johannes L. Schonberger , Alexander C. Berg , Jan-Michael Frahm German Conference on Pattern Recognition (GCPR) 2015 (Aachen). Large Scale Retrieval and Generation of Image Descriptions V. Ordonez, X. Han, P. Kuznetsova, G. Kulkarni, M. Mitchell, K. Yamaguchi, K. Stratos, A. Goyal, J. Dodge, A. Mensch, H. Daum III, A.C. Berg, Y. Choi, T.L. Berg International Journal of Computer Vision (IJCV), July 2015. ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky(*) , Jia Deng(*) , Hao Su , Jonathan Krause , Sanjeev Satheesh , Zhiheng Huang , Andrej Karthapy , Aditya Khosla , Michael Bernstein , Alexander C. Berg , Li Fei-Fei International Journal of Computer Vision (IJCV) 2015 MatchNet: Unifying Feature and Metric Learning for Patch-based Matching Xufeng Han , Thomas Leung , Yangqing Jia , Rahul Sukthankar , Alexander C. Berg IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2015 PAIGE: PAirwise Image Geometry Encoding for Improved Efficiency in Structure-from-Motion Johannes L. Schonberger , Alexander C. Berg , Jan-Michael Frahm IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2015 Predicting Entry-Level Categories [draft] Vicente Ordonez , Wei Liu , Jia Deng , Yejin Choi , Alexander C. Berg , Tamara L. Berg International Journal of Computer Vision (IJCV) 2015 Runway to Realway: Visual Analysis of Fashion Sirion Vittayakorn, Kota Yamaguchi, Alexander C. Berg, Tamara L. Berg Winter Conference on Applications of Computer Vision (WACV) 2015. Project Page Refer-to-as Relations as Semantic Knowledge Song Feng, Sujith Ravi, Ravi Kumar, Polina Kuznetsova, Wei Liu, Alexander C. Berg, Tamara L. Berg, Yejin Choi AAAI Conference on Artificial Intelligence (AAAI) 2015. Hipster Wars: Discovering Elements of Fashion Styles Hadi Kiapour, Kota Yamaguchi, Alexander C. Berg, Tamara L. Berg European Conference on Computer Vision (ECCV) 2014. HipsterWars Game Scalable Multi-Label Annotation Jia Deng , Olga Russakovsky , Jonathan Krause , Michael Bernstein , Alexander C. Berg , Li Fei-Fei CHI 2014 (short) (Toronto) Materials Discovery: Fine-Grained Classification of X-ray Scattering Images Hadi Kiapour , Kevin G. Yager , Alexander C. Berg , Tamara L. Berg , Winter Conference on Applications of Vision (WACV) 2014 (Steamboat Springs) Modeling Guidance and Recognition in Categorical Search: Bridging Human and Computer Object Detection Gregory Zelinsky, Yifan Peng, Alexander Berg, Dimitris Samaras Journal of Vision, Volume 13, Number 3, 2013 From large scale image categorization to entry-Level categories Vicente Ordonez , Jia Deng , Yejin Choi , Alexander C. Berg , Tamara L Berg ICCV 2013 (Sydney) (talk, Marr Prize ) Detecting avocados to zucchinis: what have we done, and where are we going? Olga Russakovsky , Jia Deng , Zhiheng Huang , Alexander C. Berg , Li Fei-Fei ICCV 2013 (Sydney) Multiple-voxel pattern analysis of selective representation of visual working memory Xufeng Han , Alexander C. Berg , Hwamee Oh , Dimitris Samaras , Hoi-Chung Leung NeuroImage 2013 Generalizing Image Captions for Image-Text Parallel Corpus Polina Kuznetsova, Vicente Ordonez, Alexander C. Berg, Tamara L. Berg, Yejin Choi Association for Computational Linguistics (ACL) 2013. Data BabyTalk: Understanding and Generating Simple Image Descriptions Girish Kulkarni , Visruth Premraj , Vicente Ordonez , Sagnik Dhar , Siming Li , Yejin Choi , Alexander C. Berg , Tamara L Berg IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2013. Efficient Classification for Additive Kernel SVMs Subhransu Maji , Alexander C. Berg , Jitendra Malik IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Jan. 2013, v35,I1,pp. 66-77 Collective Generation of Natural Image Descriptions Polina Kuznetsova , Vicente Ordonez , Alexander C. Berg , Tamara Berg Yejin Choi ACL 2012 (Jeju) Detecting Visual Text J. Dodge, A. Goyal, X. Han, A. Mensch, M. Mitchell, K. Stratos, K. Yamaguchi, A.C.Berg, T.L. Berg, Y. Choi, H. Daum III NAACL 2012 (Montreal) Modeling Guidance and Recognition in Categorical Search: Bridging Human and Computer Object Detection Gregory Zelinsky, Yifan Peng, Alexander Berg, Dimitris Samaras VSS 2012 DCMSVM: Distributed Parallel Training For Single-Machine Multiclass Classifiers [supp.] Xufeng Han , Alexander C. Berg CVPR 2012 (Providence) Hedging Your Bets: Optimizing Accuracy-Specificity Trade-offs in Large Scale Visual Recognition [supp.] Jia Deng , Jonathan Krause , Alexander C. Berg , Li Fei-Fei CVPR 2012 (Providence) Understanding and Predicting Importance in Images A.C.Berg, T.L. Berg, H. Daum III, J. Dodge, A. Goyal, X. Han, A. Mensch, M. Mitchell, A. Sood, K. Stratos, K. Yamaguchi CVPR 2012 (Providence) Midge: Generating Image Descriptions From Computer Vision Detections Mitchell, M., Dodge, J., Goyal, A., Yamaguchi, K., Stratos, K., Han, X., Mensch, A., Berg, A. C., and Berg, T. L., Daum III, H. EACL 2012 (Avignon) Fast and Balanced: Efficient Label Tree Learning for Large Scale Object Recognition [ pdf ] Jia Deng , Sanjeev Satheesh , Alexander C. Berg , Li Fei-Fei NIPS 2011 (Granada) Describable Visual Attributes for Face Verification and Image Search [ pdf ] Neeraj Kumar , Alexander C. Berg , Peter N. Belhumeur , Shree K. Nayar IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE TPAMI), October 2011 Using Digital Photography to Examine Grazing in Montane Meadows [JREM page] Susan McIlroy , Barbara Allen-Diaz , Alexander C. Berg Journal of Rangeland Ecology & Management, March 2011 Composing Simple Image Descriptions using Web-scale N-grams [ pdf ] Siming Li , Girish Kulkarni , Tamara Berg Alexander C. Berg , Yejin Choi CoNLL 2011 (Portland) Hierarchical Semantic Indexing for Large Scale Image Retrieval [ pdf ] Jia Deng , Alexander C. Berg , Li Fei-Fei CVPR 2011 (Colorado Springs) Baby Talk: Understanding and Generating Simple Image Descriptions [ pdf ] Girish Kulkarni , Visruth Premraj , Sagnik Dhar , Siming Li , Yejin Choi , Alexander C. Berg , Tamara Berg CVPR 2011 (Colorado Springs) Who are you with and where are you going? Kota Yamaguchi , Alexander C. Berg , Tamara Berg , Luis Ortiz CVPR 2011 (Colorado Springs) What does classifying more than 10,000 image categories tell us? [ pdf ] Jia Deng , Alexander C. Berg , Kai Li , Li Fei-Fei ECCV 2010 (Crete) Automatic Attribute Discovery and Characterization [ pdf ] Tamara L. Berg , Alexander C. Berg , Jonathan Shih ECCV 2010 (Crete) Max-Margin Additive Models for Detection [ pdf ] [ ppt ] Subhransu Maji , Alexander C. Berg ICCV 2009 (Kyoto) Attribute and Simile Classifiers for Face Verification [ pdf ] [ ppt ] Neeraj Kumar , Alexander C. Berg , Peter N. Belhumeur , Shree K. Nayar ICCV 2009 (Kyoto) Finding Iconic Images Tamara L. Berg , Alexander C. Berg Proceedings of the 2nd Internet Vision Workshop, 2009 Classification using Intersection Kernel Support Vector Machines is Efficient [ pdf ][ CODE ] Subhransu Maji , Alexander C. Berg , Jitendra Malik CVPR 2008 Parsing Images of Architectural Scenes [ pdf ] Alexander C. Berg , Floraine Grabler , Jitendra Malik ICCV 2007 Detecting Categories in News Video using Acoustic, Speech and Image Features [ pdf ] Slav Petrov , Arlo Faria , Alexander C. Berg , Pascal Michaillat , Andreas Stolcke , Dan Klein , Jitendra Malik (video) TREC 2006 SVM-KNN: Discriminative Nearest Neighbor Classification for Visual Category Recognition [ pdf ] [ ps ] Hao Zhang , Alexander C. Berg , Michael Maire , Jitendra Malik CVPR 2006 Recovering Human Body Configurations using Pairwise Constraints Between Parts [ pdf ] [ ps ] Xiaofeng Ren , Alexander C. Berg , Jitendra Malik ICCV 2005 Shape Matching and Object Recognition using Low Distortion Correspondence [ pdf ] [ ps ] [ ppt ] Alexander C. Berg , Tamara L. Berg , Jitendra Malik IEEE Computer Vision and Pattern Recognition (CVPR) 2005 Shape Matching and Object Recognition using Low Distortion Correspondence [ pdf ] [ ps ] Alexander C. Berg , Tamara L. Berg , Jitendra Malik U.C. Berkeley Technical Report, Dec. 2004 Names and Faces [ pdf ] [ ps ] Tamara L. Berg , Alexander C. Berg , Jaety Edwards , Michael Maire , Ryan White , Yee Whye Teh , Erik Learned-Miller , David A. Forsyth In submission Who's in the Picture [ pdf ] [ ps ] Tamara L. Berg , Alexander C. Berg , Jaety Edwards , David A. Forsyth NIPS 2004 Names and Faces in the News [ pdf ] [ ps ] Tamara L. Berg , Alexander C. Berg , Jaety Edwards , Michael Maire , Ryan White , Yee Whye Teh , Erik Learned-Miller , David A. Forsyth Computer Vision and Pattern Recognition (CVPR) 2004, Washington D.C., pp 848-854. Video Based Motion Synthesis by Splicing and Morphing [ pdf ] [ ps ] Gregory P. Mori , Alexander C. Berg , Alexei A. Efros , Ashley Eden , Jitendra Malik U.C. Berkeley Technical Report UCB/CSD-4-1337 Recognizing Action at a Distance [ pdf ] [ ps ] Alexei A. Efros , Alexander C. Berg , Gregory P. Mori , Jitendra Malik International Conference on Computer Vision (ICCV) 2003, Nice , pp 726-733. Geometric Blur for Template Matching [ pdf ] [ ps ] Alexander C. Berg , Jitendra Malik Computer Vision and Pattern Recognition (CVPR) 2001, Hawaii , pp I.607-614 Approximating Aggregate Queries about Web Pages via Random Walks [ pdf ] [ ps ] Ziv Bar-Yossef , Alexander C. Berg , Steve Chien , Jittat Fakcharoenphol , Dror Weitz Very Large Data Bases (VLDB) 2000, Cairo , pp 535-544 Shape Matching and Object Recognition [ pdf ] [ ps ] Alexander C. Berg Ph.D. Thesis, Computer Science Division, U.C. Berkeley, December 2005 Note for potential graduate students: You do not need to contact me. UNC Computer Science graduate admissions are done centrally. See this link . Unfortunately I can not respond to very many e-mails about applying. That said I am always interested in very well qualified large-scale machine learning and computer vision students. My recent papers give a good sample of my reseach interests. diff --git a/src/data/compiled_bios/3479.txt b/src/data/compiled_bios/3479.txt new file mode 100644 index 0000000000..3cff564f07 --- /dev/null +++ b/src/data/compiled_bios/3479.txt @@ -0,0 +1 @@ + Tamara L. Berg Associate Professor Computer Science Department FB 236 UNC Chapel Hill CEO Shopagon Inc berg.tamara - at - gmail.com Google Scholar page Research My research interests lie at the boundary of computer vision and natural language processing, specifically focused on understanding the connections between these two related modalities. Today billions of images with associated text are available on web pages, captioned photographs, video with speech or closed captioning, and many others. In order to organize, search, and exploit these enormous collections we work on developing methods that combine information from both the visual and textual sources effectively. Past and current projects include: automatically identifying people in news photographs, classifying images from the web, selecting aesthetically pleasing or interesting images, generating natural language descriptions for images, visual social media analysis, and recognizing clothing and style. Bio I received my B.S. in Mathematics and Computer Science from the University of Wisconsin, Madison in 2001. I then completed a PhD in Computer Science from the University of California, Berkeley in 2007 under the advisorship of Professor David Forsyth as a member of the Berkeley Computer Vision Group . Afterward, I spent 1 year as a research scientist at Yahoo! Research. From 2008-2013 I was an Assistant Professor in the Computer Science department at Stony Brook University and core member of the consortium for Digital Art, Culture, and Technology (cDACT). I joined the computer science department at the University of North Carolina Chapel Hill (UNC) in Fall 2013 and am currently a tenured Associate Professor. I am the recipient of an NSF Career award, 2 google faculty awards, the 2013 Marr Prize, and the 2016 UNC Hettleman Award. Teaching Spring 2016, Fall 2013, Spring 2012, Fall 2009 - CS 790-133 Recognizing People, Objects, and Actions Fall 2015, Spring 2014 - CS 560 Artificial Intelligence Spring 2015 - CS 790-133 Language and Vision Fall 2012, Spring 2011 - CSE 595 Words and Pictures Spring 2013/2012/2011/2010/2009 - CSE/ISE 364 Advanced Multimedia Spring 2013, Fall 2011 - CSE 590 Computational Photography Fall 2008 - CSE 690 Internet Vision Students Yipin Zhou (PhD, UNC) Licheng Yu (PhD, UNC) Jie Lei (PhD, UNC) Publications TVQA: Localized, Compositional Video Question Answering Jie Lei, Licheng Yu, Mohit Bansal, Tamara L. Berg Emperical Methods in Natural Language Processing (EMNLP), 2018. Project Page MAttNet: Modular Attention Network for Referring Expression Comprehension Licheng Yu, Zhe Lin, Xiaohui Shen, Jimei Yang, Xin Lu, Mohit Bansal, Tamara L. Berg IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. Project Page , Code , Demo Visual to Sound: Generating Natural Sound for Videos in the Wild Yipin Zhou, Zhaowen Wang, Chen Fang, Trung Bui, Tamara L. Berg IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. Project Page , Coverage in MIT Tech Review Combining Multiple Cues for Visual Madlibs Question Answering Tatiana Tommasi Arun Mallya Bryan Plummer Svetlana Lazebnik Alexander C. Berg Tamara L. Berg International Journal on Computer Vision (IJCV), 2018. From Image to Language and Back Again Anya Belz, Tamara L. Berg, Licheng Yu Journal of Natural Language Engineering (JNLE), 2018. Image2GIF: Generating Cinemagraphs using Recurrent Deep Q-Networks Yipin Zhou, Yale Song, Tamara L. Berg Winter Conference on Applications of Computer Vision (WACV), 2018. Physics-Inspired Garment Recovery from a Single-View Image Shan Yang, Tanya Ambert, Zherong Pan, Ke Wang, Licheng Yu, Tamara L. Berg, Ming C. Lin, ACM Transactions on Graphics (TOG), 2018. Video Hierarchically-Attentive RNN for Album Summarization and Storytelling Licheng Yu, Mohit Bansal, Tamara L. Berg, Empirical Methods in Natural Language Processing (EMNLP), 2017. A Joint Speaker-Listener-Reinforcer Model for Referring Expressions Licheng Yu, Hao Tan, Mohit Bansal, Tamara L. Berg, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017. When Was That Made? Sirion Vittayakorn, Alexander C. Berg, Tamara L. Berg, Winter Conference on Applications of Computer Vision (WACV), 2017. Modeling Context in Referring Expressions Licheng Yu, Patrick Poirson, Shan Yang, Alexander C. Berg, Tamara L. Berg, European Conference on Computer Vision (ECCV), 2016. Dataset Learning Temporal Transformations from Time-Lapse Videos Yipin Zhou, Tamara L. Berg, European Conference on Computer Vision (ECCV), 2016. Solving Visual Madlibs with Multiple Cues Tatiana Tommasi, Arun Mallya, Bryan Plummer, Svetlana Lazebnik, Alexander C. Berg, Tamara L. Berg, British Machine Vision Conference (BMVC), 2016. Auto-Illustrating Poems and Songs with Style Katharina Schwarz, Tamara L. Berg, Asian Conference on Computer Vision (ACCV), 2016. When was that made? Sirion Vittayakorn, Alexander C. Berg, Tamara L. Berg, ArXiv, 2016. Supplementary material Detailed Garment Recovery from a Single-View Image Shan Yang, Tanya Ambert, Zherong Pan, Ke Wang, Licheng Yu, Tamara L. Berg, Ming C. Lin, ArXiv, 2016. Learning to Name Objects Vicente Ordonez, Wei Liu, Jia Deng, Yejin Choi, Alexander C. Berg, Tamara L. Berg, Communications of the ACM (CACM) March, 2016. Technical perspective Combining Multiple Sources of Knowledge in Deep CNNs for Action Recognition Eunbyung Park, Xufeng Han, Tamara L. Berg, Alexander C. Berg, Winter Conference on Applications of Computer Vision (WACV), 2016. Where to Buy It: Matching Street Clothing Photos in Online Shops M. Hadi Kiapour, Xufeng Han, Svetlana Lazebnik, Alexander C. Berg, Tamara L. Berg, International Conference on Computer Vision (ICCV), 2015. Project Page, Spotlight Video Visual Madlibs: Fill in the blank Description Generation and Question Answering Licheng Yu, Eunbyung Park, Alexander C. Berg, Tamara L. Berg, International Conference on Computer Vision (ICCV), 2015. Project Page, Spotlight Video Temporal Perception and Prediction in Ego-Centric Video Yipin Zhou, Tamara L. Berg, International Conference on Computer Vision (ICCV), 2015. Project Page, Spotlight Video Visual Madlibs: Fill in the blank Description Generation and Question Answering Licheng Yu, Eunbyung Park, Alexander C. Berg, Tamara L. Berg, ArXiv, May 2015. Project Page Large Scale Retrieval and Generation of Image Descriptions Vicente Ordonez, Xufeng Han, Polina Kuznetsova, Girish Kulkarni , Margaret Mitchell, Kota Yamaguchi Karl Stratos, Amit Goyal, Jesse Dodge, Alyssa Mensch, Hal Daum III, Alexander C. Berg, Yejin Choi, Tamara L. Berg, International Journal of Computer Vision (IJCV), July 2015. Predicting Entry-Level Categories Vicente Ordonez, Wei Liu, Jia Deng, Yejin Choi, Alexander C. Berg, Tamara L. Berg, To appear in International Journal of Computer Vision (IJCV) 2015. Project Page Runway to Realway: Visual Analysis of Fashion Sirion Vittayakorn, Kota Yamaguchi, Alexander C. Berg, Tamara L. Berg, Winter Conference on Applications of Computer Vision (WACV) 2015. Project Page Refer-to-as Relations as Semantic Knowledge Song Feng, Sujith Ravi, Ravi Kumar, Polina Kuznetsova, Wei Liu, Alexander C. Berg, Tamara L. Berg, Yejin Choi, AAAI Conference on Artificial Intelligence (AAAI) 2015. ReferItGame: Referring to Objects in Photographs of Natural Scenes Sahar Kazemzadeh, Vicente Ordonez, Mark Matten, Tamara L. Berg, Empirical Methods in Natural Language Processing (EMNLP) 2014. Project Page, ReferItGame TREETALK: Composition and Compression of Trees for Image Descriptions Polina Kuznetsova, Vicente Ordonez, Tamara L. Berg, Yejin Choi, Transactions of the Association for Computational Linguistics (TACL) - to be presented at EMNLP 2014. Retrieving Similar Styles to Parse Clothing Kota Yamaguchi, Hadi Kiapour, Luis E. Ortiz, Tamara L. Berg, Accepted to IEEE Transactions on Pattern Analysis (TPAMI) 2014. Hipster Wars: Discovering Elements of Fashion Styles Hadi Kiapour, Kota Yamaguchi, Alexander C. Berg, Tamara L. Berg, European Conference on Computer Vision (ECCV) 2014. HipsterWars Game Project Page Learning High-level Judgments of Urban Perception Vicente Ordonez, Tamara L. Berg, European Conference on Computer Vision (ECCV) 2014. Project Page Chic or Social: Visual Popularity Analysis in Online Fashion Networks Kota Yamaguchi, Tamara L. Berg, Luis E. Ortiz, ACM Multimedia (ACM MM) 2014. Materials Discovery: Fine-Grained Classification of X-ray Scattering Images Hadi Kiapour, Kevin Yager, Alexander C. Berg, Tamara L. Berg, Winter Conference on Applications of Computer Vision (WACV) 2014. From Large Scale Image Categorization to Entry-Level Categories Vicente Ordonez, Jia Deng, Yejin Choi, Alexander C. Berg, Tamara L. Berg, International Conference on Computer Vision (ICCV) 2013 (oral). Winner of the Marr prize Project Page Paper Doll Parsing: Retrieving Similar Styles to Parse Clothing Kota Yamaguchi, Hadi Kiapour, Tamara L. Berg, International Conference on Computer Vision (ICCV) 2013. Demo , Code/Data Exploring the role of gaze behavior and object detection in scene understanding Kiwon Yun, Yifan Peng, Dimitris Samaras, Greg Zelinsky, Tamara L Berg Frontiers in Psychology, Perception Science, Dec 2013. Generalizing Image Captions for Image-Text Parallel Corpus Polina Kuznetsova, Vicente Ordonez, Alexander C. Berg, Tamara L. Berg, Yejin Choi Association for Computational Linguistics, (ACL) 2013. Data Studying Relationships Between Human Gaze, Description, and Computer Vision Kiwon Yun, Yifan Peng, Greg Zelinsky, Dimitris Samaras, Tamara L Berg Computer Vision and Pattern Recognition, (CVPR) 2013. Data/Code Specifying the relationships between objects, gaze, and descriptions for scene understanding Kiwon Yun, Yifan Peng, Hossein Adeli, Tamara L Berg Dimitris Samaras, Greg Zelinsky, Journal of Vision, Abstract presented at VSS, July 2013. BabyTalk: Understanding and Generating Simple Image Descriptions Girish Kulkarni , Visruth Premraj , Vicente Ordonez , Sagnik Dhar , Siming Li , Yejin Choi , Alexander C. Berg , Tamara L Berg IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Dec 2013. Parsing Clothing in Fashion Photographs [ pdf ] Kota Yamaguchi, Hadi Kiapour, Luis E. Ortiz, Tamara L. Berg Computer Vision and Pattern Recognition, (CVPR) 2012. Data/Code Understanding and Predicting Importance in Images [ pdf ] Alexander C. Berg, Tamara L. Berg, Hal Daum III, Jesse Dodge, Amit Goyal, Xufeng Han, Alyssa Mensch, Margaret Mitchell, Aneesh Sood, Karl Stratos, Kota Yamaguchi Computer Vision and Pattern Recognition, (CVPR) 2012. Data/Annotations Collective Generation of Natural Image Descriptions [ pdf ] Polina Kuznetsova, Vicente Ordonez, Alexander C. Berg, Tamara L. Berg, Yejin Choi Association for Computational Linguistics (ACL) 2012. Pre-Processed Data Detecting Visual Text [ pdf ] Jesse Dodge, Amit Goyal, Xufeng Han, Alyssa Mensch, Margaret Mitchell, Karl Stratos, Kota Yamaguchi, Yejin Choi, Hal Daum III, Alexander C. Berg, Tamara L. Berg, North American Chapter of the Association for Computational Linguistics (NAACL) 2012. Data/Code Midge: Generating Image Descriptions From Computer Vision Detections [ pdf ] Margaret Mitchell, Jesse Dodge, Amit Goyal, Kota Yamaguchi, Karl Sratos, Xufeng Han, Alysssa Mensch, Alexander C. Berg, Tamara L. Berg, Hal Daum III European Chapter of the Association for computational Linguistics, (EACL) 2012. Interactive Music: Human Motion Initiated Music Generation Using Skeletal Tracking By Kinect [ pdf ] Tamara L. Berg, Debaleena Chattopadhyay, Margaret Schedel, Timothy Vallier SEAMUS, 2012. Two-person Interaction Detection Using Body-Pose Features and Multiple Instance Learning [ pdf ] Kiwon Yun, Jean Honorio, Debaleena Chattopadhyay, Tamara L. Berg, Dimitris Samaras The 2nd International Workshop on Human Activity Understanding from 3D Data at Conference on Computer Vision and Pattern Recognition, (CVPR) 2012. JHU-CLSP Summer 2011 Workshop Xufeng Han, Alexander C. Berg, Tamara L. Berg, Hal Daum III, Jesse Dodge, Amit Goyal, Xufeng Han, Alyssa Mensch, Margaret Mitchell, Karl Stratos, Kota Yamaguchi Im2Text: Describing Images Using 1 Million Captioned Photographs [ pdf ] Vicente Ordonez, , Girish Kulkarni, , Tamara L. Berg Neural Information Processing Systems (NIPS), 2011. Dataset: SBU Captioned Photo Dataset Composing Simple Image Descriptions using Web-scale N-grams. [ pdf ] Siming Li , Girish Kulkarni , Tamara L. Berg , Alexander C. Berg , Yejin Choi Computational Natural Language Learning (CoNLL), 2011. Iconizer: A Framework to Identify and Create Effective Representations for Visual Information Encoding [ pdf ] Supriya Garg , Tamara L. Berg , Klaus Mueller The 11th International Symposium on Smart Graphics (SG), 2011 Baby Talk: Understanding and Generating Simple Image Descriptions [ pdf ] Girish Kulkarni , Visruth Premraj , Sagnik Dhar , Siming Li , Yejin Choi , Alexander C. Berg , Tamara L. Berg IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2011 (oral) High Level Describable Attributes for Predicting Aesthetics and Interestingness [ pdf ] Sagnik Dhar , Vicente Ordonez , Tamara L. Berg , IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2011 Who are you with and where are you going? [ pdf ] Kota Yamaguchi , Alexander C. Berg , Luis Ortiz Tamara L. Berg , IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2011 Can Computers Master the Art of Communication? An Excursion with a Focus on Visual Analytics Klaus Mueller , Supriya Garg , Julia Nam , Tamara L. Berg , Kevin McDonnell . IEEE Computer Graphics and Applications, May/June 2011. Automatic Attribute Discovery and Characterization from Noisy Web Data [ pdf ] Tamara L. Berg , Alexander C. Berg , Jonathan Shih The European Conference on Computer Vision (ECCV) 2010. Dataset: Attribute Discovery Dataset iWalk, A Tool for Interacting with Geo-Located Data Through Movement and Gesture [ pdf ] Visruth Premraj , Margaret Schedel , Tamara L. Berg , ACM Multimedia, Human Centered Multimedia Track (ACM MM) 2010. It's All About the Data Tamara L. Berg, Alexander Sorokin, Gang Wang, David A. Forsyth, Derek Hoiem, Ali Farhadi, Ian Endres. Proceedings of the IEEE, Special Issue on Internet Vision, August 2010, 98-8, 1434-1453. Finding Iconic Images [ pdf ] [ ps ] Tamara L. Berg , Alexander C. Berg , The 2nd Internet Vision Workshop at Conference on Computer Vision and Pattern Recognition (CVPR) 2009. Words and Pictures: Categories, Modifiers, Depiction and Iconography D.A. Forsyth, T.L. Berg, C. Alm, A. Farhadi, J. Hockenmaier, N. Loeff, G. Wang. Object Categorization: Computer and Human Vision Perspectives. Cambridge University Press, 2009, in press. Sven Dickinson, Michael Tarr, Ales Leonardis, Bernt Schiele (eds) Names and Faces [ pdf ] [ ps ] Tamara L. Berg , Alexander C. Berg , Jaety Edwards , Michael Maire , Ryan White , Yee Whye Teh , Erik Learned-Miller , David A. Forsyth In Submission Labeled Faces in the Wild: A Database for Studying Face Recognition in Unconstrained Environments [ pdf ] Gary B. Huang, Marwan Mattar, Tamara Berg, and Erik Learned-Miller. The Workshop on Faces in Real-Life Images at European Conference on Computer Vision (ECCV) 2008. Labeled Faces in the Wild: A Database for Studying Face Recognition in Unconstrained Environments [ pdf ] Gary B. Huang, Manu Ramesh, Tamara Berg, and Erik Learned-Miller. University of Massachusetts, Amherst, Technical Report 07-49, October, 2007 Exploiting Words and Pictures [ pdf ] Tamara L. Berg U.C. Berkeley Ph.D. Thesis, May. 2007 Dataset Issues in Object Recognition [ pdf ] [ ps ] J. Ponce, T. L. Berg, M. Everingham, D.A. Forsyth, M. Hebert, S. Lazebnik, M. Marszalek, C. Schmid, B.C. Russell, A. Torralba, C.K.I. Williams, J. Zhang and A. Zisserman , Toward Category-Level Object Recognition, Springer-Verlag Lecture Notes in Computer Science. J. Ponce, M. Hebert, C. Schmid and A. Zisserman (eds.), Feb 2007. Automatic Ranking of Iconic Images [ pdf ] [ ps ] Tamara L. Berg , David A. Forsyth U.C. Berkeley Technical Report, Jan. 2007 Names and Faces [ pdf ] [ ps ] Tamara L. Berg , Alexander C. Berg , Jaety Edwards , Michael Maire , Ryan White , Yee Whye Teh , Erik Learned-Miller , David A. Forsyth U.C. Berkeley Technical Report, Jan. 2007 Animals on the Web [ pdf ] [ ps ] Tamara L. Berg , David A. Forsyth Computer Vision and Pattern Recognition (CVPR) 2006 Demo: Animals on the Web Dataset: Animals on the Web Dataset Shape Matching and Object Recognition using Low Distortion Correspondence [ pdf ] [ ps ] [ ppt ] Alexander C. Berg , Tamara L. Berg , Jitendra Malik Computer Vision and Pattern Recognition (CVPR), 2005 Shape Matching and Object Recognition using Low Distortion Correspondence [ pdf ] [ ps ] Alexander C. Berg , Tamara L. Berg , Jitendra Malik U.C. Berkeley Technical Report, Dec. 2004 Who's in the Picture? [ pdf ] [ ps ] Tamara L. Berg , Alexander C. Berg , Jaety Edwards , David A. Forsyth Neural Information Processing Systems (NIPS), 2004 Demo: Face Dictionary Dataset: Faces In the Wild Dataset: Labeled Faces In the Wild Names and Faces in the News [ pdf ] [ ps ] Tamara L. Berg , Alexander C. Berg , Jaety Edwards , Michael Maire , Ryan White , Yee Whye Teh , Erik Learned-Miller , David A. Forsyth Computer Vision and Pattern Recognition (CVPR), 2004 Current Funding BIGDATA: Award #1633295 - BIGDATA: F: Collaborative Research: From Visual Data to Visual Understanding, Project Website NSF IIS Core: Award #1562098 - RI: Medium: Collaborative Research: Text-to-Image Reference Resolution for Image Understanding and Manipulation NSF CI-New: Collaborative Research: Award #1405822 - Federated Data Set Infrastructure for Recognition Problems in Computer Vision NSF II-New: Award #1405847 - Seeing the Future: Ubiquitous Computing in EyeGlasses Microsoft, Google, Adobe Past Funding NSF Faculty Early Career Development (CAREER) Program: Award #1444234 - Toward a General Framework for Words & Pictures. (previously Award #1054133) Project Page NSF IIS Core: Award #1445409 - RI: Medium: Integrating Humans and Computers for Image and Video Understanding (previously Award #1161876) CI-P:Collaborative Research Award #1417991 - Visual Entailment data set and challenge for the language and vision communities (previously Award #1205354) Seeing Social: Exploiting Computer Vision in Online Communities. Google Faculty Research Award SBU/BNL Seed Grant: "The Data Sensorium: Multi-Modal Explorations of Scientific Data". Personel - Dan Weymouth, Kevin Yager, Tamara Berg, Margaret Schedel, Klaus Mueller, Dimitris Samaras, Tony Phillips, Rita Goldstein, Nelly Alia-Klein, Zabet Patterson. NSF MRI-R2 grant: "Development of an Immersive Giga-pixel Display" . Contributor as Senior Personel. Stony Brook FAHSS grant: "Encountering Data". Daniel Weymouth, Tamara Berg, Zabet Patterson, Margaret Schedel, John Lutterbie. Stony Brook FAHSS grant: "Hybrid Geographies". Zabet Patterson, Christa Erickson, Margaret Schedel, Tamara Berg, Raiford Guins, Andrew Uroskie. Former Students & Postdocs Sirion Vittayakorn (PhD, UNC) 2016 - Assistant Professor Thailand Tatiana Tommasi (Postdoc, UNC 2015-2016) Hadi Kiapour (PhD, UNC) 2015 - Research Scientist at eBay Research Zhilan Zhou (Undergrad, UNC) Justo (Miko) Marquez (Undergrad, UNC) Jesse Hu (Undergrad, Duke) Fred Landis (Undergrad, UNC) Joe Puccio (Undergrad, UNC) Vicente Ordonez (PhD, UNC) 2015 - Assistant Professor University of Virginia. Rob Lewis (MS, UNC) 2015 Brian Christante (MS, UNC) 2015 Hannah Kerner (MS, UNC) 2015 Kota Yamaguchi (PhD, SBU) 2014 - Assistant Professor Tohoku University Sahar Kazemzadeh (Undergrad, UNC) 2014 Aaron Brown (Undergrad, UNC) 2014 Josh Potter (Undergrad, UNC) 2014 Sean Freemerman (Undergrad, UNC) 2014 Roman Myers (Undergrad, UNC) 2014 Sebo Kim (Undergrad, SBU) 2014 Vinson Luo (High School, SBU Simons program) - summer 2013 Mark Matten (High School, SBU Simons program) - summer 2013 Priyanka Khante (Undergrad, SBU) - summer 2013 Chen Ling (MS, SBU) - 2013 Hanyu Liu (MS, SBU) - 2013 Chaitanya Kommini (MS Indepdendent Study, SBU) - 2012 Deepak Venkatachalam (MS Independent Study, SBU) - 2011 Farheen Noorie (MS Independent Study, SBU) - 2011 Girish Kulkarni (MS, SBU) - 2011 Epic Systems Debaleena Chattopadhy (MS, SBU) - 2011 Indiana School of Informatics PhD Sagnik Dhar (MS, SBU) 2010 - Volkswagen Visruth Premraj (MS, SBU) 2010 Epic Systems Erin Palmer (MS, SBU) 2009 - Factset Jose Villa (MS, SBU) 2010 Piyush Kumat, (MS Indendent Study, SBU) Fall 2009 Alex Berg , my husband. Arnold Miller , my dad. diff --git a/src/data/compiled_bios/348.txt b/src/data/compiled_bios/348.txt new file mode 100644 index 0000000000..f0994a8b93 --- /dev/null +++ b/src/data/compiled_bios/348.txt @@ -0,0 +1 @@ +Name: Guo, Xiaohu:: Position: Professor:: Degrees: Ph.D., Computer Science, Stony Brook University; M.S., Computer Science, Stony Brook University; B.S., Computer Science, University of Science and Technology of China; Research Interests: Computer Graphics; Computer Vision; Virtual Reality/Augmented Reality; Medical Image Computation; Geometric Modeling and Processing; Physics-Based Deformation; 3D/4D Reconstruction; Major Honors and Awards: CAREER Award, National Science Foundation, 2012; Certificate of Reviewing Excellence, Computers & Graphics (Elsevier Journal), 2012; Representative Publications: Zichun Zhong, Wenping Wang, Bruno Lvy, Jing Hua, Xiaohu Guo, Computing a High-Dimensional Euclidean Embedding from an Arbitrary Smooth Riemannian Metric, in ACM Transactions on Graphics, Vol. 37, Issue 4, Article No. 62, 2018. (Proceedings of SIGGRAPH 2018).; Saifeng Ni, Zichun Zhong, Jin Huang, Wenping Wang, Xiaohu Guo, Field-Aligned and Lattice-Guided Tetrahedral Meshing, in Computer Graphics Forum, Vol. 37, Issue 5, pp. 161-172, 2018. (Proceedings of SGP 2018).; Chao Li, Zheheng Zhao, Xiaohu Guo, ArticulatedFusion: Real-time Reconstruction of Motion, Geometry and Segmentation Using a Single Depth Camera, in Proceedings of ECCV 2018, pp. 317-332.; Yiqi Cai, Xiaohu Guo, Yang Liu, Wenping Wang, Weihua Mao, Zichun Zhong, Surface Approximation via Asymptotic Optimal Geometric Partition, inIEEE Transactions on Visualization and Computer Graphics, Vol. 23, No. 12, pp. 2613-2626, 2017.; Liang Shuai, Chao Li, Xiaohu Guo, Balakrishnan Prabhakaran, Jinxiang Chai, Motion Capture with Ellipsoidal Skeleton using Multiple Depth Cameras, inIEEE Transactions on Visualization and Computer Graphics, Vol. 23, No. 2, pp. 1085-1098, 2017. (Presented at VR 2016 Conference); Pan Li, Bin Wang, Feng Sun, Xiaohu Guo, Caiming Zhang, Wenping Wang, Q-MAT: Computing Medial Axis Transform Using Quadratic Error Minimization, in ACM Transactions on Graphics, Vol. 35, Issue 1, Article No. 8, 2015. (Presented at SIGGRAPH 2016).; Zichun Zhong, Xiaohu Guo, Wenping Wang, Bruno Lvy, Feng Sun, Yang Liu, Weihua Mao, Particle-Based Anisotropic Surface Meshing, in ACM Transactions on Graphics, Vol. 32, Issue 4, Article No. 99, 2013. (Proceedings of SIGGRAPH 2013).; Yin Yang, Xiaohu Guo, Jennell Vick, Luis Torres, Thomas Campbell, Physics-Based Deformable Tongue Visualization, in IEEE Transactions on Visualization and Computer Graphics, Vol. 19, No. 5, pp. 811-823, Year 2013.; Yin Yang, Weiwei Xu, Xiaohu Guo, Kun Zhou, Baining Guo, Boundary-Aware Multi-Domain Subspace Deformation, in IEEE Transactions on Visualization and Computer Graphics, Vol. 19, No. 10, pp. 1633-1645, Year 2013.; Ziying Tang, Yin Yang, Xiaohu Guo, Balakrishnan Prabhakaran, Distributed Haptic Interactions with Physically-Based 3D Deformable Models over Lossy Networks, in IEEE Transactions on Haptics, Vol. 6, No. 4, pp. 417-428, Year 2013.; Yang Liu, Balakrishnan Prabhakaran, Xiaohu Guo, Point-Based Manifold Harmonics, in IEEE Transactions on Visualization and Computer Graphics, Vol. 18, No. 10, pp. 1693-1703, Year 2012.; diff --git a/src/data/compiled_bios/3480.txt b/src/data/compiled_bios/3480.txt new file mode 100644 index 0000000000..4446b94c82 --- /dev/null +++ b/src/data/compiled_bios/3480.txt @@ -0,0 +1 @@ + Gary Bishop Geeks making the world a bit better. About Blog Calendar Important Publications Research Students Teaching About I am a Professor of Computer Science at the University of North Carolina at Chapel Hill. My students and I develop software designed to enable people with disabilities to participate fully in education, literacy and play. Quick Links Comp 411 Tar Heel Gameplay is our site with games everyone can play. Check out Tar Heel Reader , our site with books for beginning readers. Accessible YouTube choose and play YouTube videos using only 2 keys. Download the older, windows only, Hark the Sound , sound games for kids who are blind or visually impaired. Read about our work on enabling technology Look for ideas for enabling technology projects Check my calendar to find an open time we could meet Contact Gary Bishop gb@cs.unc.edu 919-590-6186 255 Sitterson Hall Chapel Hill, NC 27599-3175 Recent posts Web Dev Fridays Maze Day 2016 Links for Maze Day 2015 Maze Day 2015 Maze Day 2014 Subscribe to posts Subscribe to shared items Top Tags autism blind deaf dojo enabling technology home ideas javascript json links literacy mac maps motor impaired programming python random recipes science sound todo tornado ubuntu web wiimote windows Archives Choose a month September 2017(1) February 2016(1) May 2015(1) February 2015(1) February 2014(1) December 2013(1) June 2013(1) March 2013(1) January 2013(1) November 2012(1) July 2012(1) March 2012(1) February 2012(1) January 2012(2) November 2011(2) October 2011(3) September 2011(7) August 2011(4) July 2011(6) June 2011(9) May 2011(9) February 2011(4) January 2011(6) December 2010(2) October 2010(2) September 2010(1) August 2010(1) July 2010(1) June 2010(1) May 2010(3) March 2010(1) January 2010(3) December 2009(1) October 2009(2) September 2009(1) July 2009(4) April 2009(5) March 2009(4) February 2009(3) December 2008(1) October 2008(1) August 2008(2) July 2008(3) June 2008(2) May 2008(6) April 2008(5) March 2008(4) February 2008(14) January 2008(19) December 2007(12) November 2007(18) October 2007(15) September 2007(4) August 2007(9) July 2007(5) June 2007(16) May 2007(4) April 2007(4) March 2007(18) February 2007(13) January 2007(28) December 2006(25) November 2006(9) October 2006(39) September 2006(2) August 2006(1) July 2006(1) June 2006(1) February 2006(2) January 2006(7) Copyright Gary Bishop. All rights reserved. Site info . diff --git a/src/data/compiled_bios/3481.txt b/src/data/compiled_bios/3481.txt new file mode 100644 index 0000000000..920713053e --- /dev/null +++ b/src/data/compiled_bios/3481.txt @@ -0,0 +1 @@ + Prasun Dewan Professor, Dept. of Computer Science CB# 3175, Sitterson Hall, University of North Carolina Chapel Hill, NC 27599-3175 E-mail: dewan at cs dot unc dot edu Research My research falls in the areas of distributed systems, user-interface toolkits, object-oriented systems, operating systems and software engineering environments. The driving problems for most of my current work come from distributed collaboration. YouTube research playlist with recorded talks and demos Abstracts and postscripts of some my early papers. Links to automatically generated collections of my papers: DBLP , ScholarWiki , Google Scholar Github Repositories for Ongoing Research Projects Students/ PostDocs With Whom I am Working Jason Carter (Collaborative Software Engineering) Jacob Bartel (Access Control) Teaching Carolina Course Review (University) Course Evaluations CSSA(Student Body) Course Evaluations Comp 401: Foundations of Programming Comp 533: Distributed Systems Comp 734: Distributed Systems Comp 911: Crafting a Research Paper/Talk Comp 790-063: Distributed Collaboration Comp 730: Operating Systems Comp 290: Ubiquitous Computing Systems Other Courses Taught Vitae (WORD) UNC Department of Computer Sciences Pictures diff --git a/src/data/compiled_bios/3482.txt b/src/data/compiled_bios/3482.txt new file mode 100644 index 0000000000..06ce7ded93 --- /dev/null +++ b/src/data/compiled_bios/3482.txt @@ -0,0 +1 @@ + Parasara Sridhar Duggirala Main menu text Home Research Group & Projects Publications List DBLP Google Scholar Teaching Misc. About me [ CV ] I am an Assistant Professor at University of North Carolina at Chapel Hill in the Department of Computer Science . I have recently moved from University of Connecticut in the Department of Computer Science and Engineering . My research is at the intersection of Cyber-Physical Systems, Formal Methods, Autonomy, Embedded and Real-Time Systems, and Control Theory. I am looking for bright and motivated graduate and undergraduate students. Send me an e-mail with your CV if you are interested. I am currently working on developing frameworks for integrating safe autonomy into Cyber-Physical Systems. In my lab, we build, maintain, and prove the safety of autonomous CPS. In the recent past, I have contributed to developing scalable techniques for safety verification of linear hybrid systems. This technique (available here ) requires a mere n+1 simulations for computing the reachable set of n dimensional linear system. We have also implemented new constraint propagation techniques and dynamic aggregation techniques for verification of linear hybrid systems (available here and here ). This work has won the Best Paper Award at ARCH Workshop, 2017. My PhD thesis was about "Dynamic Analysis of Cyber-Physical Systems". I have developed C2E2 , a tool that combines the scalability of simulations with the correctness guarantees of formal verification and applied it to analyze ALAS , an alerting system for a parallel aircraft landing protocol developed by NASA ( details ) and powertrain control systems in automobiles ( details ). In the past, I have worked on Probabilistic Systems, Automatic Test Input Generation, and Decision Procedures. News: [[January 2019]] I have moved to University of North Carolina at Chapel Hill and joined the Computer Science Department . [[October 2018]] Renukanandan Tumu represents RacingHuskies at the F1Tenth Competition at ES Week 2018 . [[August 2018]] Donals Sheehy presents out work on embedding trajectories into a Euclidean space at CCCG 2018 . [[July 2018]] Manish presents his first paper at ADHS 2018 . [[June 2018]] Joint work with Donald Sheehy titled "When Can We Treat Trajectories as Points?" has been accepted to CCCG 2018 . We demonstrated a method to embed trajectories of dynamical system into euclidean space. [[April 2018]] RacingHuskies participated in F1Tenth Competition at CPS Week 2018 and we placed 2nd in the competition . Congratulations to Abol, Reynaldo, and Manish and especially to Nandan who traveled to Porto and did a great job! [[March 2018]] Work with my student Manish Goyal titled "On Generating a Variety of Unsafe Counterexamples for Linear Dynamical Systems" has been accepted to ADHS 2018. We managed to define new notations of deepest and longest counterexamples and developed techniques to extract them. [[April 2017]] Joint work with Stanley Bak titled "Simulation-Equivalent Reachability of Large Linear Hybrid Systems with Inputs" has been accepted to CAV 2017. We improved the scalability of verification by two orders of magnitude and verified a 10,000 dimensional system. For details, check out the paper here . [[April 2017]] Presented a paper titled "Rigorous Simulation-Based Analysis for Linear Hybrid Systems" at TACAS 2017. The techniques presented in the paper have been implemented in our tool called HyLAA . [[April 2017]] Stanley Bak presented our tool paper: "HyLAA: A Tool For Simulation-Equivalent Reachability for Linear Systems" at HSCC 2017. The paper has earned the repeatability evaluation badge. Feel free to download the tool HyLAA . [[April 2017] ] Joint work with Stanley Bak won the Best Paper Award sponsored by Robert Bosch at ARCH Workshop, 2017 . [[July 2016]] Chuchu Fan presented our paper "Automatic Reachability Analysis for Nonlinear Hybrid Models with C2E2" at CAV 2016 . Feel free to try our tool C2E2 for verifying nonlinear hybrid systems such as lane changing systems and C-Elegans biological systems. [[July 2016]] Presented a paper titled "Parsimonious, Simulation Based Verification Of Linear Systems" at CAV 2016 . Check out the new algorithm which verifies an n-dimensional linear system using a mere n+1 simulations here . [[December 2015]] Presented a paper titled "Analyzing Real-Time Linear Control Systems Using Software Verification" at RTSS 2015 . Find out about our new technique to verify linear control systems in presence of real time scheduler here . [[August 201 5 ]] I joined University of Connecticut CSE Department ( UConnCSE ). [[April 201 5] ] Join work with Chuchu Fan, Sayan Mitra, and Mahesh Viswanathan won the Most Promising Benchmark Result sponsored by Robert Bosch at ARCH Workshop , conducted as part of CPS Week 2015. Previously: I was at University of Illinois at Urbana Champaign for my graduate studies. My PhD thesis was supervised by Prof. Mahesh Viswanathan and Prof. Sayan Mitra . I obtained my B.Tech from Indian Institute of Technology Guwahati . I was an intern at SRI International in the Computer Science Laboratory in Summer 2012 and at NEC Labs America in the System Analysis and Verification Group in Summer 2011, and at Verimag in the Timed and Hybrid Systems Group under the supervision of Dr. Oded Maler in Summer 2008. Email : psdcs.unc.edu parasara.duggirala gmail.com Ph: 919-590-6116 201. S. Columbia St. Room 362 Chapel Hill, NC. 27599-3175 Copyright: Parasara Sridhar Duggirala Designed using CSS, HTML5, and Seamonkey. diff --git a/src/data/compiled_bios/3483.txt b/src/data/compiled_bios/3483.txt new file mode 100644 index 0000000000..af49230511 --- /dev/null +++ b/src/data/compiled_bios/3483.txt @@ -0,0 +1 @@ + Department of Computer Science University of North Carolina at Chapel Hill Search for: Support UNC CS Toggle navigation Computer Science I am A Prospective Student A Current Student An Alumnus or Friend An Industry Representative A Visitor A Media Representative About Message from the Chair About Our Department Rankings Awards Brooks Building & Sitterson Hall Computing Facilities Research Laboratories History of the Department Department Awards Visiting Us Contact Us People Faculty Adjunct Faculty Students Visiting Researchers and Postdoctoral Scholars Emeritus Faculty Experts List Department Administration Staff Alumni Corporate Partners Student Ambassadors Admissions Undergraduate Admissions Graduate Admissions Why Choose Our Ph.D. Program? Academics Undergraduate Programs Graduate Programs Why Choose Our Ph.D. Program? Course Home Page Links CS Course Listings University Academic Calendars News & Publications News Headlines Events Calendar Colloquia in the Department of Computer Science Triangle Computer Science Distinguished Lecturer Series News & Notes Newsletter Information for Media Doctoral Dissertations Honors Theses Technical Report Archives Research Philosophy Research Areas Laboratories Research Groups & Centers Research Results Sponsors and Funding Department Patents Entrepreneurship Start-ups Launched by our Faculty Entrepreneurs Library Entrepreneurs Lounge UNC Office of Technology Commercialization I am A Prospective Student A Current Student An Alumnus or Friend An Industry Representative A Visitor A Media Representative About Message from the Chair About Our Department Rankings Awards Brooks Building & Sitterson Hall Computing Facilities Research Laboratories History of the Department Department Awards Visiting Us Contact Us People Faculty Adjunct Faculty Students Visiting Researchers and Postdoctoral Scholars Emeritus Faculty Experts List Department Administration Staff Alumni Corporate Partners Student Ambassadors Admissions Undergraduate Admissions Graduate Admissions Why Choose Our Ph.D. Program? Academics Undergraduate Programs Graduate Programs Why Choose Our Ph.D. Program? Course Home Page Links CS Course Listings University Academic Calendars News & Publications News Headlines Events Calendar Colloquia in the Department of Computer Science Triangle Computer Science Distinguished Lecturer Series News & Notes Newsletter Information for Media Doctoral Dissertations Honors Theses Technical Report Archives Research Philosophy Research Areas Laboratories Research Groups & Centers Research Results Sponsors and Funding Department Patents Entrepreneurship Start-ups Launched by our Faculty Entrepreneurs Library Entrepreneurs Lounge UNC Office of Technology Commercialization Kris Jordan August 18, 2015 By Brett Piper Teaching Assistant Professor 254Sitterson Hall 919-590-6041 (phone) 919-590-6105(fax) kris (at) cs.unc.edu (140) M.S. 2008, Brown. Computer science education, educational technology, internet systems, entrepreneurship. Report a Website Issue Internal Resources Help Articles UNC ITS Help Desk UNC.edu ABOUT News Events Calendar Floor Plans CONNECT Schedule a Visit Contact Us INFO FOR Prospective Students Current Students Faculty & Staff Alumni & Friends Industry Visitors Media QUICK LINKS Submit News TCSDLS News & Notes Carolina to Career Candidates Day 2019 The Department of Computer Science Brooks Computer Science Building 201 S. Columbia St. UNC-Chapel Hill Chapel Hill, NC 27599-3175 Phone: (919) 590-6000 Fax: (919) 590-6105 Email: info (at) cs.unc.edu 2019 Computer Science diff --git a/src/data/compiled_bios/3484.txt b/src/data/compiled_bios/3484.txt new file mode 100644 index 0000000000..0bcf51c7de --- /dev/null +++ b/src/data/compiled_bios/3484.txt @@ -0,0 +1 @@ + Jasleen Kaur Home | CV | Contact Me | I am an Associate Professor and the Director of Graduate Studies in the Department of Computer Science at UNC-Chapel Hill . My research interests lie in the design and analysis of networks and operating systems. For details, check out the links below. I am also the coordinator for the Triangle Computer Science Distinguished Lecture Series . Research Publications Current (& Past) Research Projects: Web Traffic Monitoring Packet-scale Congestion Control for Ultra-High Speed Networks Passive TCP Performance Analysis Analysis of Available Bandwidth Measurement Techniques Tomographic Infrastructures and Techniques Recent Course Offerings: Internet Services and Protocols (COMP431): Spring 2018 . Wireless Networks (COMP635): Fall 2017 . Computer Networks (COMP631): Fall 2016 . Data Structures (COMP410): Spring 2014 . Network Transport Protocols (COMP790-088): Spring 2012 . Introduction to Programming WWW (COMP110): Fall 2011 . Independent Research Projects (COMP991): Fall 2010 . Current Student Advisees: Hasan Faik Alan . Sean Sanders. Junhua Yan. Qianwen Yin . Former Advisees: Alok Shriram, Ph.D., 2009. Sushant Rewaskar, Ph.D., 2008. Kevin Wang, M.S. 2016. Eric Gavaletz, M.S. 2014. Alfredo Miranda, M.S. 2013. Roberto Rodriguez, M.S. 2013. Rebecca Lovewell, M.S. 2012. Caitlyn Losee, M.S. 2012. Chiung-Yi Tseng, M.S. 2011. Simona Bacanu, M.S. 2010. Vishnu Konda, M.S. 2009. Ritesh Kumar, M.S. 2009. James Martin, B.S. 2015. Rebecca Lovewell, B.S. 2011. Eric Gavaletz, B.S. 2009. Research Statement , Teaching Statement , CV . Links: CCC's listing of Undergrad Research Positions in Computer Science Publications Research Opportunities for new graduate students. diff --git a/src/data/compiled_bios/3485.txt b/src/data/compiled_bios/3485.txt new file mode 100644 index 0000000000..1dd15c2f5a --- /dev/null +++ b/src/data/compiled_bios/3485.txt @@ -0,0 +1 @@ + Department of Computer Science University of North Carolina at Chapel Hill Search for: Support UNC CS Toggle navigation Computer Science I am A Prospective Student A Current Student An Alumnus or Friend An Industry Representative A Visitor A Media Representative About Message from the Chair About Our Department Rankings Awards Brooks Building & Sitterson Hall Computing Facilities Research Laboratories History of the Department Department Awards Visiting Us Contact Us People Faculty Adjunct Faculty Students Visiting Researchers and Postdoctoral Scholars Emeritus Faculty Experts List Department Administration Staff Alumni Corporate Partners Student Ambassadors Admissions Undergraduate Admissions Graduate Admissions Why Choose Our Ph.D. Program? Academics Undergraduate Programs Graduate Programs Why Choose Our Ph.D. Program? Course Home Page Links CS Course Listings University Academic Calendars News & Publications News Headlines Events Calendar Colloquia in the Department of Computer Science Triangle Computer Science Distinguished Lecturer Series News & Notes Newsletter Information for Media Doctoral Dissertations Honors Theses Technical Report Archives Research Philosophy Research Areas Laboratories Research Groups & Centers Research Results Sponsors and Funding Department Patents Entrepreneurship Start-ups Launched by our Faculty Entrepreneurs Library Entrepreneurs Lounge UNC Office of Technology Commercialization I am A Prospective Student A Current Student An Alumnus or Friend An Industry Representative A Visitor A Media Representative About Message from the Chair About Our Department Rankings Awards Brooks Building & Sitterson Hall Computing Facilities Research Laboratories History of the Department Department Awards Visiting Us Contact Us People Faculty Adjunct Faculty Students Visiting Researchers and Postdoctoral Scholars Emeritus Faculty Experts List Department Administration Staff Alumni Corporate Partners Student Ambassadors Admissions Undergraduate Admissions Graduate Admissions Why Choose Our Ph.D. Program? Academics Undergraduate Programs Graduate Programs Why Choose Our Ph.D. Program? Course Home Page Links CS Course Listings University Academic Calendars News & Publications News Headlines Events Calendar Colloquia in the Department of Computer Science Triangle Computer Science Distinguished Lecturer Series News & Notes Newsletter Information for Media Doctoral Dissertations Honors Theses Technical Report Archives Research Philosophy Research Areas Laboratories Research Groups & Centers Research Results Sponsors and Funding Department Patents Entrepreneurship Start-ups Launched by our Faculty Entrepreneurs Library Entrepreneurs Lounge UNC Office of Technology Commercialization Ashok Krishnamurthy November 5, 2014 By Brett Piper Research Professor Deputy Director, Renaissance Computing Institute 239 Sitterson Hall 919-590-6019 (phone) 919-590-6105 (fax) ashok (at) renci.org (137) Ph.D.1983, Florida. Data analytics with applications in healthcare and social science, high-end computing for modeling and simulation, advanced computational tools to improve industrial productivity through virtual product and process development, digital processing to extract information from images,audio and other signals. Report a Website Issue Internal Resources Help Articles UNC ITS Help Desk UNC.edu ABOUT News Events Calendar Floor Plans CONNECT Schedule a Visit Contact Us INFO FOR Prospective Students Current Students Faculty & Staff Alumni & Friends Industry Visitors Media QUICK LINKS Submit News TCSDLS News & Notes Carolina to Career Candidates Day 2019 The Department of Computer Science Brooks Computer Science Building 201 S. Columbia St. UNC-Chapel Hill Chapel Hill, NC 27599-3175 Phone: (919) 590-6000 Fax: (919) 590-6105 Email: info (at) cs.unc.edu 2019 Computer Science diff --git a/src/data/compiled_bios/3486.txt b/src/data/compiled_bios/3486.txt new file mode 100644 index 0000000000..2ac88789ab --- /dev/null +++ b/src/data/compiled_bios/3486.txt @@ -0,0 +1 @@ + Ming C. Lin After twenty wonderful years at UNC Chapel Hill, starting January 2018 I have joined another flagship public institution, the University of Maryland at College Park as Elizabeth Stevinson Iribe Chair of Computer Science at UMD College Park John R. & Louise S. Parker Distinguished Professor Emerita Department of Computer Science Sitterson Hall, CB#3175 University of North Carolina Chapel Hill, NC 27599-3175 PHO: (919) 590-6074 FAX: (919) 590-6105 EMAIL HONORS ACM Fellow IEEE Fellow Eurographics Fellow John R. & Louise S. Parker Distinguished Professor Yangtze Scholar Award ( Tsinghua University ) IEEE VGTC Virtual Reality Technical Achievement Award Beverly W. Long Distinguished Term Professor Carolina WOWS Scholar Carolina Women's Center Faculty Scholar Phillip and Ruth Hettleman Prize for Artistic and Scholarly Achievement IBM/UNC Junior Faculty Development Award Honda Research Initiation Award NSF CAREER Award RESEARCH INTERESTS Physically-based Modeling, Simulation and Animation Interactive Collision Detection for Simulated Environments Classification of Prostate Cancer Grades and T-Stages based on Tissue Elasticity Using Medical Image Analysis (MICCAI 2016) A Multilevel SPH Solver with Unified Solid Boundary Handling (Pacific Graphics/CGF 2016) Versatile Interactions at Interfaces for SPH-Based Simulations (ACM SIGGRAPH/EG Symposium on Computer Animation) A Hybrid Particle-Based Fluid Solver with Interface Handling (Computer Graphics Forum/PG 2016) Bayesian Estimation of Non-Rigid Mechanical Parameters Using Temporal Sequences of Deformation Samples (IEEE ICRA 2016) MaterialCloning: Acquiring Elasticity Parameters from Images for Medical Applications (IEEE TVCG 2015/2016) Fast Multiple-fluid Simulation Using Helmholtz Free Energy (ACM SIGGRAPH Asia 2015) Implicit Formulation for SPH-based Viscous Fluids (Eurographics 2015) Fast SPH Simulation for Gaseous Fluids (Visual Computer 2015) Simultaneous Estimation of Elasticity for Multiple Deformable Bodies (CASA 2015 - Journal of CAVW 2015) A Simple Approach for Bubble Modeling from Multi-Phase Fluid Simulation (Computational Visual Media 2015) Multiple-Fluid SPH Simulation Using a Mixture Model (ACM TOG/SIGGRAPH Asia 2014) Sound Propagation in Large Complex Environments Using Wave-Ray Coupling (ACM TOG, SIGGRAPH Asia 2013) Flow Reconstruction for Data-Driven Traffic Animation (ACM TOG/SIGGRAPH 2013) Example-Guided Physically Based Modal Sound Synthesis (ACM TOG/SIGGRAPH 2013) Flow Field Modulation (IEEE TVCG 2013, SCA 2013; Preprint ) Simulation-Based Joint Estimation of Body Deformation and Elasticity Parameters for Medical Image Analysis (IEEE TMI 2012) Large-scale Fluid Simulation using Velocity-Vorticity Domain Decomposition (ACM SIGGRAPH Asia 2012; Back Cover Image ) Fast Optimization-Based Elasticity Parameter Estimation Using Reduced Model (CGI 2012; The Visual Computer) Interactive Hybrid Simulation of Large-Scale Traffic (ACM TOG; SIGGRAPH Asia 2011) Free-Flowing Granular Materials with Two-Way Solid Coupling (ACM TOG; SIGGRAPH Asia 2010, Back Cover Image ) Precomputed Wave Simulation for Real-Time Sound Propagation of Dynamic Sources in Complex Scenes Sounding Liquids: Automatic Sound Synthesis from Fluid Simulation (ACM TOG; SIGGRAPH 2010) Continuum Traffic Simulation (Eurographics 2010) Synthesizing Contact Sounds Between Textured Objects (IEEE VR 2010) Aggregate Dynamics for Dense Crowd Simulation (ACM TOG; SIGGRAPH Asia 2009, Front Cover Image ) Accelerated Wave-based Acoustics Simulation Using Domain Decomposition (SPM 2008; IEEE TVCG 2010) Controlling Deformable Models with Dynamic Morph Targets (I3DG 2009, Back Cover Image ) Fast Animation of Turbulence (ACM TOG; SIGGRAPH Asia 2008, Back Cover Image ) Visual Simulation of Shockwaves (SCA 2008, Cover Images ; Graphical Model 2009) Constraint-based Motion Synthesis for Deformable Models (CASA 2008, Cover Images ) Fluid in Video: Augmenting Real Video with Simulated Fluids (Eurographics 2008) Physically-Based Validation of Deformable Medical Image Registration (MICCAI 2008) Soft Articulated Characters with Fast Contact Handling (Eurographics 2007) Feature-Guided Dynamic Texture Synthesis on Continuous Flows (EGSR 2007) Fast Fluid Simulation Using Residual Distribution Schemes (EGWNP 2007) Stable Advection-Reaction-Diffusion Systems (CASA/CAVW 2007) Fast Simulation of Laplacian Growth (SIGGRAPH SKETCH 2005; IEEE CG&A 2007) Texturing Fluids (SIGGRAPH SKETCH 2006; IEEE TVCG 2007) Fast Animation of Lightning Using an Adaptive Mesh ( IEEE TVCG 2007 , Cover Image ) A Survey on Hair Modeling: Styling, Simulation, and Rendering (IEEE TVCG 2007) Strands and Hairs -- Modeling, Animation, and Rendering (SIGGRAPH 2007 Course; Best Course Notes for a New Course ) Modeling Ice Dynamics As A Thin-Film Stefan Problem (SCA 2006, Cover Image ) Fast Simulation of Deformable Models in Contact Using Dynamic Deformation Textures (SCA 2006; SIGGRAPH SKETCH 2006) Finite Volume Flow Simulations in Arbitrary Domains (SCA 2005 Poster; Graphical Models 2006) Adaptive Dynamics with Efficient Contact Handling (Robotics 2006) SYMPHONY: Real-time Physically-based Sound Synthesis (I3DG 2006, Back Cover Image ) Interactive Simuation of Fibrin Fibers (IEEE VR 2006) A Simulation-based Virtual Hair Salon (IEEE VR 2006; Presence 2007 Most Downloaded Paper of the Journal of Jan.'08 ) Adaptive Dynamics of Articulated Bodies (SIGGRAPH 2005) Efficient, Error-Bounded Approximation for Simulating Quasi-Statics of Complex Linkages (SPM 2005) Physically Based Animation and Rendering of Lightning (Pacific Graphics 2004, Cover Image ) A Versatile, Interactive 3D Brush Model (Pacific Graphics 2004, Cover Image ) A Hybrid Algorithm for Modeling Ice Formation (SCA 2004) IMPaSTo : A Realistic, Interactive Model for Paint (NPAR 2004) Modeling Hair Influenced by Water and Styling Products (CASA 2004) An Interactive, Stable Viscous Fluid Model (CASA/CAVW 2004) Geometry-Driven Physical Interaction between Avatars and Virtual Environments (CASA/CAVW 2004) Adaptive Grouping and Subdivision for Simulating Hair Dynamics (Pacific Graphics 2003) Simulation of Ice Crystal Growth (SCA 2003) Modeling Hair Using Level-of-Detail Representations (CASA 2003) Simulation Level of Detail for Automatic Simplification of Particle System Dynamics (Comp Animation 2001) Modeling Flexible and Deformable Bodies using FFD (Solid Modeling 1999) and FEM 3D Polyhedral Morphing (Computer Animation 1998) Multi-scale Dynamics Simulator for Virtual Prototyping and Scientific Exploration (e.g. nanoSimulator). Collision Detection and Proximity Queries Interactive Collision Detection for Simulated Environments Fast Continuous Collision Detection among Deformable Models using Graphics Processors (EGVE 2006; Computer & Graphics 2007, 2nd Best Paper of the Year ) A Fast Method for Local Penetration Depth Computation (Journal of Graphical Tools 2006) Multiresolution Collision Handling for Cloth-like Simulations (CASA/CAVW 2005) Collision Detection between Deformable Models using Chromatic Decomposition (SIGGRAPH 2005, Back Cover Image ) Efficient Inter- and Intra-Object Collision Culling Using Graphics Hardware (IEEE VR 2005; Best Paper Award ) Fast and Reliable Collision Culling using Graphics Hardware (VRST 2004) Fast Collision Detection between Massive Models using Dynamic Simplification (Symp. on Geometry Processing 2004) Fast Continuous Collision Detection for Articulated Models (SM 2004) Interactive, Continuous Collision Detection for Avatars in VEs (IEEE VR 2004) CAB: Fast Collision Culling for Articulated Bodies (Journal of Graphical Tools 2004) CULLIDE: Interactive Collision Detection Between Complex Models in Large Environments Using Graphics Hardware (Graphics Hardware 2003) CLODs: Dual Hierarchies for Multiresolution Collision Detection (Symp. on Geometry Processing 2003) Fast Penetration Depth Estimation Using Rasterization Hardware and Hierarchical Refinement (SCA 2002; WAFR 2002) Dual-space Expansion for Estimating Penetration Depth (ICRA 2002) Fast Penetration Depth Estimation for Elastic Bodies Using Deformed Distance Fields (IROS 2001) General Polyhedral Proximity Query (Eurographics 2001) Fast and Simple Geometric Proximity Queries Using Graphics Hardware (I3DG 2001) PQP: Fast Proximity Queries using Swept Sphere Volumes (ICRA 2000) Partitioning and Handling Massive Models for Interactive Collision Detection (Eurographics 1999; Best Student Paper Award ) RAPID: Robust and Accurate Polygon Interference Detection using obbtrees (SIGGRAPH 1996) Efficient and Accurate Interference Detection for Polynomial Deformation (Comp. Animation 1996) Interactive and Exact Collision Detection (I3DG 1995) Planning, Navigation & Behaviors for Virtual Agents, Crowds, and Traffic Biologically-Inspired Visual Simulation of Insect Swarms (Eurographics 2015) Virtualized Traffic at Metropolitan Scale (Frontier in VR 2015) Road Network Library (Source Code) (Frontier in VR 2015) Participatory Route Planning (ACM SIGSPATIAL GIS 2014) Continuum Modeling of Crowd Turbulence (ACM SIGGRAPH 2014; Phy. Rev. E 2014) Parameter Estimation and Comparative Evaluation of Crowd Simulations (Eurographics/CGF 2014) Hybrid Long-Range Collision Avoidance for Crowd Simulation (I3DG 2013; IEEE TVCG 2014) Flow Reconstruction for Data-Driven Traffic Animation (ACM TOG/SIGGRAPH 2013) Entropy Metric: A Statistical Measure for Aggregate Crowd Dynamics (ACM SIGGRAPH Asia 2012) Interactive Simulation of Dynamic Crowd Behaviors using General Adaptation Syndrome Theory (ACM I3DG 2012) Self-Aware Traffic Route Planning (AAAI 2011) Simulating Heterogeneous Crowd Behaviors Using Personality Trait Theory (SCA 2011) Directing Crowd Simulation Using Navigation Fields (IEEE TVCG 2011) PLEdestrians: A Least-Effort Approach to Crowd Simulation (SCA 2010) Modeling Collision Avoidance Behavior for Virtual Humans (Nominee for AAMAS 2010 Best Virtual Agent Paper Award) Aggregate Dynamics for Dense Crowd Simulation (ACM SIGGRAPH Asia 2009; Front Cover Image ) ClearPath: Highly Parallel Collision Avoidance for Multi-Agent Simulation (SCA 2009) Multi-robot Coordination and Planning (ICRA 2009) Reciprocal N-body Collision Avoidance (ISRR 2009) Virtualized Traffic: Reconstructing Traffic from Discrete Spatial-Temporal Data (IEEE VR 2009 Back Cover Image ; TVCG 2010) Path Planning among Movable Obstacles: a Probabilistically Complete Approach (WAFR 2008) Composite Agents (SCA 2008) Interactive Navigation of Individual Agents in Crowded Environments (ACM I3D 2008) Reciprocal Velocity Obstacles for Real-Time Multi-Agent Navigation (ICRA 2008) Large-Scale Real-time Modeling of Multiple Human Agents (ACM VRST 2007 Best Paper Award ; TVCG 2009 Cover Image ) Efficient Motion Planning of Highly Articulated Chains using Physically-based Sampling (ICRA 2007) Cable Route Planning Using Constrained Sampling (SPM 2007) Real-time Path Planning for Virtual Agents in Dynamic Environments (IEEE VR 2007, Cover Image ; TVCG 2008) Motion Planning for a Deformable Robot in Complex Environment (Robotics 2005) Practical Local Planning in Contact Space (ICRA 2005) Constraint-Based Motion Planning of Deformable Robots (ICRA 2005) Interactive Navigation in Complex Environments Using Path Planning (I3DG 2003) Real-Time Constrainted-Based Motion Planning (SM 2002; WAFR 2002) A Voronoi-Based Framework for Motion Planning and Maintainability Applications V-Plan: A Voronoi-Based Hybrid Motion Planner (IROS 2001) Randomized Path Planning for a Rigid Body Based on Hardware Accelerated Voronoi Sampling (WAFR 2000) Real-time Motion Planning Based on Generalized Voronoi Diagram Using Graphics Hardware (ICRA 2000) Interactive and dynamic path planner to provide guidance to the users in virtual worlds. Interactive Sound Rendering SynCoPation: Interactive Synthesis-Coupled Sound Propagation (IEEE VR 2016, Best Paper HM) Interactive Modal Sound Synthesis Using Generalized Proportional Damping (ACM I3DG 2016) Analytic Ray Curve Tracing for Outdoor Sound Propagation (Applied Acoustics) Interactive Virtual Percussion Instruments on Mobile Devices (ACM VRST 2015) Integrated Multimodal Interaction Using Normal Maps (GI 2015) WAVE: Interactive Wave-based Sound Propagation for Virtual Environments ( IEEE VR 2015 ; IEEE TVCG 2015} Wave-Ray Coupling for Interactive Sound Propagation in Large Complex Scenes (ACM SIGGRAPH Asia 2013) Auditory Perception of Geometry-Invariant Material Properties (IEEE TVCG, IEEE VR 2013) Example-Guided Physically Based Modal Sound Synthesis (ACM TOG; ACM SIGGRAPH 2013) Designing Virtual Instruments with Touch-Enabled Interfaces (ACM SIGCHI 2012) An efficient time-domain solver for the acoustic wave equation on graphics processors (Applied Acoustics 2011) Precomputed Wave Simulation for Real-Time Sound Propagation of Dynamic Sources in Complex Scenes (ACM TOG; SIGGRAPH 2010) Sounding Liquids: Automatic Sound Synthesis from Fluid Simulation (ACM TOG; SIGGRAPH 2010) Synthesizing Contact Sounds Between Textured Objects (IEEE VR 2010) Accelerated Wave-based Acoustics Simulation Using Domain Decomposition (SPM 2008; IEEE TVCG 2010) SYMPHONY: Real-time Physically-based Sound Synthesis (I3DG 2006, Back Cover Image ) Real-Time Haptic and Touch-Enabled Interaction Interactive Virtual Percussion Instruments on Mobile Devices (ACM VRST 2015) Integrated Multimodal Interaction Using Normal Maps (GI 2015) Tabletop Ensemble: Touch-Enabled Virtual Percussion Instruments (ACM I3DG 2012) Haptic Rendering: Foundations, Algorithms, and Applications (under Computer Graphics Series by A K Peters LTD) Analysis on Increasing Transparency for Penalty-Based Six Degree-Of-Freedom Haptic Rendering (IEEE World Haptics 2011) Haptic Rendering of High-Resolution Deformable Objects (IEEE World Haptics 2007 Sketch; HCI International 2007 Invited Paper ) Interactive Virtual Hair Salon (IEEE VR 2006; Presence 2007 Most Downloaded Paper of the Journal of Jan'08 ) Stable and Responsive Six-Degree-of-Freedom Haptic Manipulation Using Implicit Integration (World Haptics 2005; IEEE TRO 2006) Sensation Preserving Haptic Rendering (IEEE Computer Graphics & Applications 2005) Haptic Rendering of Interaction between Textured Models (IEEE Visualization 2004) A Perceptually-Inspired Force Model for Haptic Texture Rendering Haptic Interaction with Fluid Media (Graphics Interface 2004) Sensation Preserving Simplification for Haptic Rendering (SIGGRAPH 2003) Six-Degree-of-Freedom Haptic Display Using Localized Contact Computations (IEEE Haptic Symposium 2002; Presence 2003 Cover Image Article ) ArtNova: Touch-Enabled 3D Model Design (IEEE VR 2002) DAB: Interactive Haptic Painting with 3D Virtual Brushes (SIGGRAPH 2001) User-Centric Viewpoint Computation for Haptic Exploration and Manipulation (VIS 2001) 6 DoF Haptic Rendering (VIS 2000) inTouch : Interactive Multiresolution Modeling and 3D Painting with a Haptic Interface (IEEE VR 2000) A Framework for Fast and Accurate Collision Detection for Haptic Interaction (IEEE VR 1999) General-Purpose Computing on GPUs An efficient time-domain solver for the acoustic wave equation on graphics processors (Applied Acoustics 2011) Fast Simulation of Deformable Models in Contact Using Dynamic Deformation Textures (SCA 2006; SIGGRAPH SKETCH 2006) Fast Continuous Collision Detection among Deformable Models using Graphics Processors (EGVE 2006; Computer & Graphics 2007, 2nd Best Paper of the Year ) Collision Detection between Deformable Models using Chromatic Decomposition (SIGGRAPH 2005, Back Cover Image ) Efficient Inter- and Intra-Object Collision Culling Using Graphics Hardware (IEEE VR 2005; Best Paper Award ) Interactive Visibility Ordering of Geometric Primitives in Complex Environments (I3DG 2005) Fast and Reliable Collision Culling using Graphics Hardware (VRST 2004) Fast Database Operations using GPUs (SIGMOD 2004) Haptic Rendering of Interaction between Textured Models (IEEE Visualization 2004) Fast Continuous Collision Detection for Articulated Models (SM 2004) IMPaSTo : A Realistic, Interactive Model for Paint (NPAR 2004) Interactive, Continuous Collision Detection for Avatars in VEs (IEEE VR 2004) Physical Simulation of Ice Crystal Growth (SCA 2003) CULLIDE: Interactive Collision Detection Between Complex Models Using Graphics Hardware (Graphics Hardware 2003) Efficient Swept Volume Approximation of Complex Polyhedral Models (SM 2003; Best Paper Award ) Fast Penetration Depth Estimation Using Rasterization Hardware and Hierarchical Refinement (SCA 2002; WAFR 2002) Fast and Simple Geometric Proximity Queries Using Graphics Hardware (I3DG 2001) Randomized Path Planning for a Rigid Body Based on Hardware Accelerated Voronoi Sampling (WAFR 2000) Real-time Motion Planning Based on Generalized Voronoi Diagram Using Graphics Hardware (ICRA 2000) Hardware Accelerated Computation of Generalized Voronoi Diagrams for Dynamic Environments (SIGGRAPH 1999) Geometric Modeling Transforming GIS Data into Functional Road Models for Large-Scale Traffic Simulation (IEEE TVCG 2012) SMA: An Approximate, Simplified Medial Axis (SM 2003) Efficient Swept Volume Approximation of Complex Polyhedral Models (SM 2003; Best Paper Award ) Hardware Accelerated Computation of Generalized Voronoi Diagrams for Dynamic Environments (SIGGRAPH 1999) Rendering Techqniues Feature-Guided Dynamic Texture Synthesis on Continuous Flows (EGSR 2007) Texturing Fluids (SIGGRAPH SKETCH 2006; IEEE TVCG 2007) Interactive Visibility Ordering of Geometric Primitives in Complex Environments (I3DG 2005) Efficient Fitting and Rendering of Large Scattered Data Sets Using Subdivision Surfaces (Eurographics 2002; 3rd Best Paper ) User-Centric Viewpoint Computation for Haptic Exploration and Manipulation (VIS 2001) A Video-Based Rendering Acceleration Algorithm for Interactive Walkthroughs (Multimedia 2000) Distributed Interactive Simulation Model dynamic terrain, environmental effects, buildings and large geometric models realistically (NPS 1994) TEACHING Invited Tutorials (not including keynotes) for GDC 1999, 2000, 2003; ACM SMA 2002; CASA 2004; ACM VRCIA 2006; IEEE VR 2010. Courses for SIGGRAPH (Asia) 1997, 1999-2000, 2002-2010, 2014 (Sample Slides from 2000 and 2003 ) Algorithms and Analysis (Spring 2016) ; Also offered in Spring 2014, 2013, 2012, 2011, and Fall 2009, 2008 2007, Fall 2005 , Fall 2002 , Fall 2001 , Fall 2000 , Fall 1999 , Spring 1999 . Everyday Computing Fall 2013; Spring 2011 Everyday Computing (HONORS) (Fall 2015) Physically-Based Modeling, Simulation and Animation ; Also offered in (Fall 2014) ; Fall 2012 , Fall 2010 , Spring 2009 , Fall 2007 , Spring 2006 , Spring 2005 , Spring 2004 , Spring 2003 , Spring 2002 , Spring 2000 , Fall 1995 . Computational Geometry and Applications (Fall 1998) Robotics: An Introduction (Fall 2006) Motion Planning and Synthesis (Fall 2003 as a guest lecturer and course co-designer) STUDENTS & POSTDOCS I'M WORKING WITH Weizi Li Junbang Liang Sam Lowe Nick Rewkowskie Atul Rungta (Co-advising with D. Manocha) Auston Sterling Tetsuya Takahashi (Fellowship) Justin Wilson David Wolinski (Postdoc) Shan (Alex) Yang Tao Yang (Tsinghua University; Co-advising with S. M. Hu) Ami Zhou STUDENTS GRADUATED Erik Andersen (BS Honor; UW PhD; Cornell) Bill Baxter (Google) Cenk Baykal (B.S. Honor; MIT) Stephen Ehmann (NVidia) Abhinav Golas (Samsung Research) Susan Fisher Fong (Pixar Animation Studio) Mark Foskey (Accuray/UNC-CH) Nico Galoppo (Intel) Maxim Garber (Balanced Worlds) Russell Gayle (Sandia National Lab) Stephen Guy (University of Minnesota) Stefan Gottschalk (NVidia) Arthur Gregory (DreamWorks) Kenneth Hoff III (Sony R&D America) Nitin Jain (Oracle Corporation) Ilknur Kabul (Kitware) Sujeong Kim (SRI International) Ted Kim (UC Santa Barbara & Pixar Animation Studio) Eric Larsen (Sony R&D America) Huai-Ping Lee (Amazon) Joohi Lee (UCLA/MBA) Paul Mecklenberg (Google) Ravish Mehra (Oculus VR) Will Moss (Bump Technologies) Rahul Narain (UMN Twin Cities) James Norton (BS Honor; Samsung) Miguel Otaduy (URJC Madrid) Sachin Patil (Otto) Amol Pattekar (Yahoo) Charles Pisula (Apple) Nikunj Raghuvanshi (Microsoft Research) Bo Ren (Nankai University) Zhimin Ren (Uber) Vincent Scheib (Google) Jeff Schoner (Microsoft) Jason Sewall (Intel Research) Hengchin Yeh (Google) Jiangbo Yin (Datacom Systems) Kelly Ward (Walt Disney Animation Studios) David Wilkie (Google) Andrew Zaferakis (Moby Games/High Moon Studios) Yu Zheng (Univ. of Michigan Dearborn) Maggie Zhou (Google) FOMER POSTDOCS & RESEARCH ASSOCIATES Jur van den Berg (Otto; University of Utah) Mark Foskey (Accuray/UNC-CH) Naga Govindaraju (Microsoft Research) Ted Kim (Pixar/UC Santa Barbara) Young Kim (EWHA, Korea) Vivek Kwatra (Google Research) Stephane Redon (INRIA, France) Harald Schmidl (Duke University) Avneesh Sud (Google Research) Tianjun Wang OTHER STUDENTS ADVISED & VISITING SCHOLARS Tanya Amert Benoit Legouis (Visiting from INRIA, Advisor: Maud Marchal) Sean Curtis (Toyota Research Institute) Jacob Hicks Gentaro Hirota (NVidia) Christian Lennerz (MPI, Visiting Student) Ajith Mascarenhas (Lawrence Livermore National Lab) Jia Pan (City University @ HK) David O'Brien Sashi Kumar Penta (Intel Corporation) Xueying Qin (Shangdong University, Visiting Professor) Jonathan Robbins (NVidia) Mert Sedef (Mimic Technologies) Serhat Tekin (Intel Corporation) Nolan Walker (Emergent Technology, Inc.) Jeremy Wendt (Sandia National Lab) Nicola Wolpert (MPI, Visiting Postdoc) OTHER RELATED LINKS UNC GAMMA (Geometric Algorithm for Modeling, Motion and Animation) Research Group Massive Model Rendering Geometric and Solid Modeling at UNC-CH The nanoManipulator UNC Graphics and Image Cluster SELECTED PUBLICATIONS SOFTWARE SYSTEMS GAMMA ON YOUTUBE MPEG DEMONSTRATIONS RESEARCH SPONSORS CHAIRED/ORGANIZED CONFERENCES AND WORKSHOPS ACM SIGGRAPH WORKSHOP ON COMPUTER GRAPHICS FOR AUTONOMOUS DRIVING APPLICATIONS 2018, Vancouver, Canada IEEE Computer Society Fellows Committee 2018 IEEE Computer Society Computer Pioneer Award Committee (2017-2020) IEEE Computer Society Award Committee 2017 IEEE VR Workshop on Virtual Humans and Crowds , March 2017, Los Angeles, California. Asia Graphics Awards Committee 2016 - Present ACM SIGGRAPH Outstanding Doctoral Dissertation Award Committee (2016-2018) Workshop on Discovery and Innovation in Smart and Pervasive Health , December 2016, Washington D.C. Eurographics , May 2016, Lisbon, Portugal. IEEE VR Workshop on Virtual Humans and Crowds , March 2016, Greenville, South Carolina. ACM VRST , November 2015, Peking, China. Pacific Graphics , October 2015, Peking, China. IEEE International Conference on Robotics and Automation (ICRA) , May 2015, Seattle, Washington. IEEE ICRA Workshop on Challenges in Virtua Reality , May 2015, Seattle, Washington. Computational Visual Media Conference , September 2013, Hangzhou, China. Pacific Graphics , September 2011, Taiwan. International Workshop on Algorithmic Foundations of Robotics , December 2010, Singapore. ACM Symposium on Virtual Reality Software and Technology , November 2010, Hong Kong, China. CASA Workshop on Crowd Simulation , June 2010, St. Malo, France. IEEE ICRA Workshop on Robotics and Intelligent Transportation System , May 2010, Alaska, USA. Eurographics Workshop on Natural Phenomena , March 2009, Munich, Germany. IEEE VR Workshop on Virtual Cityscapes , March 2008, Reno, NV. IEEE Virtual Reality Conference , March 2008, Reno, NV. ACM Symposium on Virtual Reality Software and Technology , November 2007, Newport Beach, CA . IEEE Virtual Reality Conference , March 2007, Charlotte, NC. Workshop on Edge Computing Using New Commodity Architectures , May 2006, Chapel Hill, NC. Eurographics Symposium on Virtual Environments , May 2006, Lisbon, Portugal. Computer Animation and Social Agents , October 2005, Hong Kong, China. Eurographics 2005 , August-September 2005, Dublin, Ireland. ACM SIGGRAPH Course on Haptic Rendering , July-August 2005, Los Angeles, CA. ACM Workshop on General Purpose Computing on Graphics Processors , August 2004, Los Angeles, CA. NSF-ENG Cyberinfrastructure Workshop , April 2004, Philadelphia, PA. IEEE/RSJ IROS Workshop on Robotics for Nanosciences and Nanotechnology , October 2003, Las Vegas, NV ACM SIGGRAPH/EG Symposium on Computer Animation 2003 , July 2003, San Diego, CA Workshop on Intelligent Human Augmentation and Virtual Environment , October 2002, Chapel Hill, NC Carolina Women in Computer Science Series , 1999-2004 ACM Symposium on Solid Modeling and Applications 1999 , June 1999, Ann Arbor, MI ACM Workshop on Applied Computational Geometry 1996 , May 1996, Philadelphia, PA Human Performance Modeling Workshop , October 1996, Research Triangle Park, NC Advanced Concept Workshop on Basis Functions for Data Representation, Processing and Computation , April 1996, Research Triangle Park, NC EDITORIAL BOARDS Computational Visual Media (2015 - Present) IEEE Transactions on Visualization and Computer Graphics (Editor-in-Chief, 2011-2014) Frontiers in Virtual Reality (2014 - Present) Computer-Aided Design (2012 - Present) International Journal of Computational Geometry and Applications (2008 - Present) Computer & Graphics (2007 - Present) International Journal on Virtual Reality (2006 - 2012) World Haptics Conference Editorial Board (2009-2011) IEEE Transactions on Haptics (2008 - 2010) IEEE ICRA Conference Editorial Board (2006 - 2010) ACM Computing Reviews (1997 - 2003) EDITED SPECIAL ISSUES (Excluding 20+ Special Issues on Collections of Best Papers from Chaired Conferences) Proceedings of IEEE Special Issue on "Cutting Edge Computing Using New Commodity Architecture" , March 2008 IEEE TVCG Special Issue on "Haptics, Virtual and Augmented Reality" , November/December 2005 IEEE CG & A Special Issue on "Touch-Enabled Interfaces" , November/December 2004 IEEE CG & A Special Issue on "Haptic Rendering -- Beyond Visual Computing" , March/April 2004 IJCGA Special Issue on "Applied Computational Geometry" , August 1998. PERSONAL Short Biography For New Students OTHER LINKS CONFERENCES IN GRAPHICS/VR/ROBOTICS/HAPTICS/HCI JOB POSTINGS FELLOWSHIP INFO For more information, contact Ming C. Lin , lin@cs.unc.edu Copyright 1995-2015. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the author. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. diff --git a/src/data/compiled_bios/3487.txt b/src/data/compiled_bios/3487.txt new file mode 100644 index 0000000000..823b4e6c0b --- /dev/null +++ b/src/data/compiled_bios/3487.txt @@ -0,0 +1 @@ + Department of Computer Science University of North Carolina at Chapel Hill Search for: Support UNC CS Toggle navigation Computer Science I am A Prospective Student A Current Student An Alumnus or Friend An Industry Representative A Visitor A Media Representative About Message from the Chair About Our Department Rankings Awards Brooks Building & Sitterson Hall Computing Facilities Research Laboratories History of the Department Department Awards Visiting Us Contact Us People Faculty Adjunct Faculty Students Visiting Researchers and Postdoctoral Scholars Emeritus Faculty Experts List Department Administration Staff Alumni Corporate Partners Student Ambassadors Admissions Undergraduate Admissions Graduate Admissions Why Choose Our Ph.D. Program? 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Course Home Page Links CS Course Listings University Academic Calendars News & Publications News Headlines Events Calendar Colloquia in the Department of Computer Science Triangle Computer Science Distinguished Lecturer Series News & Notes Newsletter Information for Media Doctoral Dissertations Honors Theses Technical Report Archives Research Philosophy Research Areas Laboratories Research Groups & Centers Research Results Sponsors and Funding Department Patents Entrepreneurship Start-ups Launched by our Faculty Entrepreneurs Library Entrepreneurs Lounge UNC Office of Technology Commercialization I am A Prospective Student A Current Student An Alumnus or Friend An Industry Representative A Visitor A Media Representative About Message from the Chair About Our Department Rankings Awards Brooks Building & Sitterson Hall Computing Facilities Research Laboratories History of the Department Department Awards Visiting Us Contact Us People Faculty Adjunct Faculty Students Visiting Researchers and Postdoctoral Scholars Emeritus Faculty Experts List Department Administration Staff Alumni Corporate Partners Student Ambassadors Admissions Undergraduate Admissions Graduate Admissions Why Choose Our Ph.D. Program? Academics Undergraduate Programs Graduate Programs Why Choose Our Ph.D. Program? Course Home Page Links CS Course Listings University Academic Calendars News & Publications News Headlines Events Calendar Colloquia in the Department of Computer Science Triangle Computer Science Distinguished Lecturer Series News & Notes Newsletter Information for Media Doctoral Dissertations Honors Theses Technical Report Archives Research Philosophy Research Areas Laboratories Research Groups & Centers Research Results Sponsors and Funding Department Patents Entrepreneurship Start-ups Launched by our Faculty Entrepreneurs Library Entrepreneurs Lounge UNC Office of Technology Commercialization John Majikes August 23, 2018 By Brett Piper Teaching Assistant Professor 256 Sitterson Hall 919-590-6093 (phone) 919-590-6105(fax) jmajikes (at) cs.unc.edu (147) Ph.D. 2017, N.C. State.Computational and Design Techniques for a Semi-Autonomous Computerized Dog-Training System with Timing and Accuracy Performance Comparable to a Professional Dog Trainer. Report a Website Issue Internal Resources Help Articles UNC ITS Help Desk UNC.edu ABOUT News Events Calendar Floor Plans CONNECT Schedule a Visit Contact Us INFO FOR Prospective Students Current Students Faculty & Staff Alumni & Friends Industry Visitors Media QUICK LINKS Submit News TCSDLS News & Notes Carolina to Career Candidates Day 2019 The Department of Computer Science Brooks Computer Science Building 201 S. Columbia St. UNC-Chapel Hill Chapel Hill, NC 27599-3175 Phone: (919) 590-6000 Fax: (919) 590-6105 Email: info (at) cs.unc.edu 2019 Computer Science diff --git a/src/data/compiled_bios/3488.txt b/src/data/compiled_bios/3488.txt new file mode 100644 index 0000000000..c5b371f2bb --- /dev/null +++ b/src/data/compiled_bios/3488.txt @@ -0,0 +1 @@ + Hanging out in the office. Ketan Mayer-Patel Associate Professor Contact Info Office: 154 Fred Brooks Building Phone: (919) 590-6009 Email: kmp@cs.unc.edu About Me Hi! The quick story of my life: born in Chicago, grew up in Dallas, spent 11 years in Berkeley getting degrees, now pretending to be a professor here in Chapel Hill. After years of unofficially ignoring this web page and letting it get horribly out of date, I am now officially ignoring it and am no longer trying to keep it up to date. Classes COMP 832 - Multimedia Networking, Spring 2008 Software Object-oriented Event-driven MPEG-2 Parsing and Analysis Library (.NET) MPEG-2 Video Extensions to the Dali Multimedia Processing Toolkit Publications Lastest: A general framework for multidimensional adaptation Coordinated multi-streaming for 3D tele-immersion Aggregate congestion control for distributed multimedia applications Complete list... Research My research focuses on multimedia systems and networking. In particular, I am focusing on problems associated with high-bandwidth applications that generate many flows of information with complex inter-flow semantic relationships. Sorry, I'm behind on updating my public CV. Fun Sejal Pictures Augusta House Plan and Pictures Turkey pictures diff --git a/src/data/compiled_bios/3489.txt b/src/data/compiled_bios/3489.txt new file mode 100644 index 0000000000..7943dedd70 --- /dev/null +++ b/src/data/compiled_bios/3489.txt @@ -0,0 +1 @@ + Logged in as: guest Log in Home Research Courses Publications Leonard McMillan Associate Professor Department of Computer Science University of North Carolina Brooks Comp Sci Bldg, CB #3175 Chapel Hill, NC 27599 Office: Sitterson 316 Email: mcmillan@cs.unc.edu Phone: 919-590-6078 Students: Current John "Sebastian" Sigmon Anwica Kashfeen Bhavya Deepak Vyas Jaytheert Rao Hang Su Conrad Czejdo Yongze "Sammy" Yin Ziwei Chen Baqiao "Charles" Liu Alumni Osamba Tolba Hector Briceno Chris Buehler Aaron Isaksen Wojciech Matusik Jason Yang Matthew Everett Jingyi Yu Jason Stewart Eric Bennett Tynia Yang Guodong Lui Jingdan Zhang Kyle Moore Adam Roberts Lynda Yang Charles Noneman Alexander Jackson Jeremy Wang Catherine Welsh Isa Kemal Pakatci Piyush Aggarwal Zhaoxi Xhang Chen-Ping Fu Seth Greenstein James "Matt" Holt Chia-Yu "Katy" Kao Maya Najarian Kathryn Kirchoff Site built using pyWeb version 1.10 2010 Leonard McMillan, Alex Jackson and UNC Computational Genetics diff --git a/src/data/compiled_bios/349.txt b/src/data/compiled_bios/349.txt new file mode 100644 index 0000000000..cb7b4b85a8 --- /dev/null +++ b/src/data/compiled_bios/349.txt @@ -0,0 +1 @@ +Name: Gupta, Gopal:: Position: Professor(CS, CE, & TE), Erik Jonsson Chair, and Department Head:: Degrees: Ph.D., Computer Science, The University of North Carolina, Chapel Hill, 1991; M.S., Computer Science,The University of North Carolina, Chapel Hill, 1987; B.Tech., Computer Science, Indian Institute of Technology, Kanpur, India, 1985; Research Interests: Programming Languages: Implementation, Semantics, Applications, Constraint and Logic Programming, Static Analysis.; Software Engineering: Software Verification, Real-time Systems, Domain Specific Languages, Interoperability.; Parallel and Distributed Processing: High Performance AI and Constraint Logic Programming Systems, Automatic Parallelization, Parallel Architectures, Applications.; Artificial Intelligence: Logic based Intelligent systems, constraint satisfaction, constraint programming, implementation; Human Computer Interaction: Tools for Visually Impaired; Intelligent Interfaces.; RepresentativePublications: G. Gupta, et al. Logic, Coinduction, and Infinite Computation. Slides from CALCO11 invited talk.; N. Saeedloei, G. Gupta. Coinductive Constraint Logic Programming.; K. Marple, A. Bansal, R. Min, G. Gupta. Goal-directed Execution of Answer Set Programs.; K. Marple, G. Gupta. GALLIWASP: A Goal-directed Answer Set Solver.; A. Karshmer, G. Gupta, E. Pontelli. Mathematics and Accessibility: A Survey.; diff --git a/src/data/compiled_bios/3490.txt b/src/data/compiled_bios/3490.txt new file mode 100644 index 0000000000..07c43b15e1 --- /dev/null +++ b/src/data/compiled_bios/3490.txt @@ -0,0 +1 @@ + Fabian Monrose I am a Kenan Distinguished Professor in the Computer Science department at the University of North Carolina at Chapel Hill. Prior to joining UNC, I was an Associate Professor at Johns Hopkins University from 2002 to 2008. And before that, I spent three great years as a member of technical staff at Bell Labs, Lucent Technologies. Program Committees (Ive been involved with recently): Research in Attacks and Defenses ( 2016 , 2012 , 2013 , 2014, 2015, 2016 ) USENIX Security Symposium ( 2005 , 2006 , 2007 , 2008 , 2009 , 2013 ) Financial Cryptography and Data Security ( 2011 , 2012 ) Digital Forensics Research Conference ( 2011 , 2012 ) ACM Computer and Communications Security ( 2009 , 2010 , 2011 , 2013 ) ISOC IEEE Symposium on Security and Privacy ( 2007 , 2008 ) Network & Distributed System Security ( 2006 , 2007 , 2008 , 2009 ) International Conference on Distributed Computing Systems (2005, 2009, 2010) USENIX Workshop on Large-scale Exploits and Emergent Threats ( 2010 , 2011 , 2012) IEEE Biometrics Symposium( 2008 ) Research Interests and Selected Papers by Topic Traffic classification (albeit encrypted or anonymized) Network security ( malware classification and modeling) Biometric key generators User authentication Systems security Privacy and other topics Teaching Advanced Network Security Network Security Computer Forensics Introduction to Computer Security Selected Topics in Systems Security Students I have had the good fortune of working with several talented students . Prospective students should apply directly to our graduate program. Now on to the important stuff :-) My twins girls are the joy of my life. In my free time I try to get in as much scuba diving as I can, which sadly only happens during the summer. Im also into very long power walks . My wife and I are from St. Lucia, and most of our family lives there (yeah, I know, what are we doing here?). If you are looking for a great get-away spot, drop me an email and I'll be happy to give you suggestions on what to do once you get to St. Lucia . I admit that mathematical science is a good thing. But excessive devotion to it is a bad thing --- Aldous Huxley Welcome Contact Info 3175 Sitterson Hall UNC-Chapel Hill NC 27599-3175 Phone: 919-590-6063 Email: click here PGP public key Curriculum vitae diff --git a/src/data/compiled_bios/3491.txt b/src/data/compiled_bios/3491.txt new file mode 100644 index 0000000000..9b4fae8c72 --- /dev/null +++ b/src/data/compiled_bios/3491.txt @@ -0,0 +1 @@ + Jump to Content Marc Niethammer Overview Research Teaching Contact Bibliography Software You are here Home Overview My research interests lie in the areas of biomedical image analysis and visual control- and estimation-theory. I am interested in both theory development and applications to real world problems. My areas of expertise range from visual tracking for defense applications, to medical imaging algorithm development, to structural health monitoring (in a former life). I am excited by interdisciplinary work, having collaborated and worked with researchers and practitioners in mathematics, various engineering disciplines, and in the medical fields. I am particularly interested in the interplay between disciplines, where theory drives applications and applications influence theory development. My recent research focuses on biomedical image analysis. I am particularly, interested in novel methods for segmentation and registration involving temporal or spatial constraints. My current application areas are (1) neuroscience and neurodevelopment, (2) osteoarthritis, (3) pediatrics, and (4) cancer. [ CV ] Research experience 2018- Professor Department of Computer Science, UNC Chapel Hill 2014-2017 Associate Professor Department of Computer Science, UNC Chapel Hill 2008-2013 Assistant Professor Department of Computer Science, UNC Chapel Hill 2007 Instructor Harvard Medical School 2005-2007 Research Fellow Brigham and Women's Hospital 2005 Research Engineer Georgia Institute of Technology est seedbox out there! Education 2004 Ph.D. in Electrical and Computer Engineering Georgia Institute of Technology 2002 M.S. in Applied Mathematics Georgia Institute of Technology 2000 Dipl.-Ing. in Engineering Cybernetics Universitaet Stuttgart 1999 M.S. in Engineering Science and Mechanics Georgia Institute of Technology diff --git a/src/data/compiled_bios/3492.txt b/src/data/compiled_bios/3492.txt new file mode 100644 index 0000000000..1c75d9977a --- /dev/null +++ b/src/data/compiled_bios/3492.txt @@ -0,0 +1 @@ + Shahriar Nirjon Assistant Professor Department of Computer Science University of North Carolina at Chapel Hill Email: nirjon@cs,unc,edu HOME PUBLICATION RESEARCH IMPACT Research Interest I am interested in Embedded Intelligence the general idea of which is to make resource constrained embedded systems capable of sensing, learning, adapting, and evolving. In recent past, I have worked on Networked Embedded Sensor Systems (HW/SW Co-Design and Wearables), Wireless Networks and Sensing (Mobile, WSN, and other RF), Mobile Systems (OS, Services, and Applications), , and Internet of Things (IoT devices, privacy, data analytics, and mobile Health). Before joining the UNC Chapel Hill as an Assistant Professor (2015), I was a researcher in the Networking and Mobility Lab at the HP Labs (2014-2015). I received my Ph.D. in Computer Science from the University of Virginia, under the supervision of Jack Stankovic (August 2014). Teaching COMP 790.136 Smart and Connected Systems: [Spring '18] [Fall '18] . COMP 790.136 The Internet of Things: [Fall '15] [Fall '16] . COMP 590/790.136 Mobile Computing Systems: [Spring '17] [Fall '17] . Awards and Grants NSF CSR Small Award #1816213, Overheard at Home - Mitigating Overhearing of Continuous Listening Devices, October 2018. NSF CSR Medium Award #1704469, Improving Pedestrian Safety in Urban Cities using Intelligent Wearable Systems, May 2017. Best Demo Runner Up Award , The 14th ACM Conference on Embedded Networked Sensor Systems (SenSys '16), November 2016. National Consortium for Data Science (NCDS) Data Fellows Award, April 2016. NSF EAGER Award #1619967, Predictive Maintenance of HVAC Systems using Audio Sensing, March 2016. IBM/RJ Reynolds Junior Faculty Development Award, UNC Chapel Hill, January 2016. Best Paper Award , The 12th International Conference on Mobile Systems, Applications, and Services (MOBISYS '14), June 2014. Best Paper Award , The 18th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS '12), April 2012. Students Chong Shao (6th year PhD, co-advised) Shiwei Fang (4th year PhD) Tamzeed Islam (3rd year PhD) Bashima Islam (3rd year PhD) Seulki Lee (3rd year PhD) Yubo Luo (2nd year PhD) Kyle Asher (undergrad senior) Austin Wang (undergrad junior) Services 2019 TPC: RTAS, FG. 2018 TPC: SENSYS, WEARSYS, PerIoT, CHASE, FG. 2017 TPC: RTAS, IPSN, PerIoT, SENSORCOMM, FG. 2016 TPC: RTSS, IPSN, DCOSS, SENSORCOMM, IT4RIs, NSYSS. 2015 TPC: RTSS, RTAS, NSYSS Journal: TECS, TOSN, TAFFC, TCPS, TIIS, TON, Sensors, IJMI. News 7/18 - NSF CSR Small Grant. 3/18 - Three Papers in DCOSS'18. 3/18 - MMSys'18 Paper Accepted. 2/18 - IPSN'18 Paper Accepted. 1/18 - Two papers in IoTDI'18. 5/17 - NSF CSR Medium Grant. 2/17 - MobiSys'17 Paper Accepted. 1/17 - IoTDI'17 Paper Accepted. 1/17 - PerIoT'17 Paper Accepted. 12/16 - EWSN'17 Paper Accepted. 11/16 - Sensys Best Demo Runner Up 8/16 - WH'16 Paper Accepted. 5/16 - UG Summer Research Started. 4/16 - DCOSS'16 Paper Accepted. 4/16 - NCDS Data Fellow Award. 3/16 - NSF EAGER Grant. 1/16 - UNC JFDA Award. 7/15 - Joined UNC Faculty. Last update: August 2018 diff --git a/src/data/compiled_bios/3493.txt b/src/data/compiled_bios/3493.txt new file mode 100644 index 0000000000..dc29609005 --- /dev/null +++ b/src/data/compiled_bios/3493.txt @@ -0,0 +1 @@ +Search this site Junier Brbaro Oliva Assistant Professor, Computer Science Department, UNC Chapel Hill News Looking for highly motivated graduate and undergrad students! See the Join Us page for more information. Presenting our work, Transformation Autoregressive Networks at ICML 2018 in Stockholm, Sweden! Hello I'm Junier Oliva, an assistant professor in the computer science department at UNC Chapel Hill. I am the head of the LUPA Lab , a research lab devoted to performing machine learning and artificial intelligence. Currently I'm looking to bridge the gap between human and machine learning by extending our paradigm past single point estimation and considering collections like distributions, sets, sequences, and graphs. By extending approaches to a more holistic view, we develop methods that not only make assessments on entire collections at a time, but also make use of related collections of points to provide context when considering a particular instance. Moreover, I'm interested in exporting concepts from learning on distributional and functional inputs to modern techniques in deep learning. I have a preference for simple estimators that make few assumptions; in particular I'm interested in (frequentist) non-parametric methods. One very interesting challenge is scaling up non-parametric methods to huge datasets and high dimensions. This work will help us solve problems like predicting whether a Twitter trending topic will go viral, or predicting the risk of disease given a person's functional brain data, or predicting the future distribution of dark matter particles. See my research statement , and LUPA Lab projects page for more info! Prior to completing my Ph.D. in Machine Learning at Carnegie Mellon University, I also received my B.S. and M.S. in Computer Science from Carnegie Mellon University. Also, I spent a year as a software engineer for Yahoo!, and a summer as a machine learning intern at Uber ATG. Research Interests Machine learning, artificial intelligence, nonparametric statistics, deep learning, statistical data mining, signal processing, graphical models, generative models, kernel methods, scalability, complex datasets, optimization, density estimation. Papers J. Oliva, A. Dubey, M. Zaheer, B.Pczos, R. Salakhutdinov, E. Xing, and J. Schneider. Transformation Autoregressive Networks. International Conference on Machine Learning (ICML). Stockholm, Sweden, 2018. J. Oliva, B. Pczos, and J. Schneider. The Statistical Recurrent Unit. International Conference on Machine Learning (ICML). Sydney, Australia, 2017. S. Ravanbakhsh, J. Oliva, S. Fromenteau, L. Price, S. Ho, J. Schneider, & B. Pczos. Estimating cosmological parameters from the dark matter distribution. International Conference on Machine Learning (ICML). NYC, NY, 2016. K. Kandasamy, G. Dasarathy, J. Oliva, J. Schneider, & B. Pczos. Gaussian process bandit optimisation with multi-fidelity evaluations. Advances in Neural Information Processing Systems (NIPS). Barcelona, Spain, 2016. X. Wang, J. Oliva, J. Schneider, B. Pczos. Nonparametric Risk and Stability Analysis for Multi-Task Learning Problems. The International Joint Conference on Artificial Intelligence (IJCAI). NYC, NY, 2016. J. Oliva*, A. Dubey*, A. Wilson, B. Pczos, E. Xing, J. Schneider. Bayesian Nonparametric Kernel-Learning. International Conference on Artificial Intelligence and Statistics (AISTATS). Cadiz, Spain, 2016. D. Sutherland*, J. Oliva*, B. Pczos, J. Schneider. Linear-time Learning on Distributions with Approximate Kernel Embeddings. Association for the Advancement of Artificial Intelligence (AAAI). Phoenix, AZ, 2016. J. Oliva, W. Neiswanger, B. Pczos, E. Xing, and J. Schneider. Fast Function to Function Regression. International Conference on Artificial Intelligence and Statistics (AISTATS). San Diego, CA, 2015. J. Oliva, B. Pczos, T. Verstynen, A. Singh, J. Schneider, F.C. Yeh, and E.Y. Tseng. FuSSO: Functional Shrinkage and Selection Operator. International Conference on Artificial Intelligence and Statistics (AISTATS). Reykjavik, Iceland, 2014. J. Oliva, W. Neiswanger, B. Pczos, J. Schneider, and E. Xing. Fast Distribution to Real Regression. International Conference on Artificial Intelligence and Statistics (AISTATS). Reykjavik, Iceland, 2014. J. Oliva, B. Pczos, and J. Schneider. Distribution to Distribution Regression. International Conference on Machine Learning (ICML). Atlanta, GA, 2013. 2018 LUPA Lab Junier B. Oliva Made with the new GoogleSites , an effortless way to create beautifulsites. Create a site Report abuse diff --git a/src/data/compiled_bios/3494.txt b/src/data/compiled_bios/3494.txt new file mode 100644 index 0000000000..d550757f15 --- /dev/null +++ b/src/data/compiled_bios/3494.txt @@ -0,0 +1 @@ + Stephen M. Pizer Kenan Professor Contact Information Department of Computer Science University of North Carolina at Chapel Hill CB #3175, Sitterson Hall Chapel Hill, NC 27599-3175 (919) 590-6085 (Office ) (919) 590-6105 (Fax) Email: pizer @ cs.unc.edu Administrative Assistant : Alden Sharpe (919) 590-6151 (phone) ajsharpe@cs.unc.edu (E-mail) Education A.B., Sc.B. 1963 (Brown) A.M. 1964 (Harvard) Ph.D. 1967 (Harvard) Research Interests Image Analysis, Display, with a focus on Object Shape Human and Computer Vision Graphics Numerical Computing Medical Imaging I lead the UNC Medical Image Display & Analysis Group , a collaborative group of about 90 professionals from the departments of Computer Science, Radiology, Radiation Oncology, Surgery, Psychiatry, Ophthalmology, Pathology, Obstetrics and Gynecology, Mathematics, Biostatistics, and Biomedical Engineering, including 15 graduate students from Computer Science, and 19 from other departments. Major goals include fast interactive 3D display of medical images, particularly image-guided surgery, 2D and 3D recognition, segmentation, registration and shape description, modeling and measuring visual perception of 2D images, contrast enhancement, observer studies of display techniques, and development of parallel graphics and image processing hardware. We use specific problems from diagnoses from medical images (e.g., x-rays, CT scans, magnetic resonance images, ultrasound images, micrographs ), radiotherapy, and surgery to motivate general solutions in the areas of image display, image analysis, and visual perception. Image analysis and shape description. We wish to allow the display, definition, or measurement of selected anatomic structures. With applications in both 2D and 3D from radiology, radiation oncology, surgery, and other medical specialties, the combination of geometric analysis and multiresolution approaches is being used to produce hierarchical object-based image descriptions to be used as a basis for both display and image analysis. We study the description of shape within images, using multiresolution approaches applied to objects' medial properties derived directly from gray-scale images. We use these approaches as the basis of clinical image analysis and 3D volume rendering. Graphics and 3D fusion (with Fuchs, Coggins, Rosenman , Manocha , Brooks, and Whitted ). The Graphics and Image group collaborates on interactive 3D display from volume data, including augmented reality displays. Our present research focuses on exploratory 3D planning of radiotherapy and neurosurgery, fast rendering methods, fusion of multimodality medical images, and, in real time, of preoperative and intraoperative images and of optical and medical 3D images of the patient. Psychophysics and modeling of human visual perception (with Burbeck ). We seek to characterize human extraction and representation of image objects and their shape. This study leads to effective computer vision methods and allows matching image analysis and human vision in interactive display systems. The research includes basic psychophysical experiments and modeling. Adaptive contrast enhancement and image quality evaluation (with Rosenman , and E. Pisano [Radiology]). The selection of displayed intensity levels for each level recorded in a digital image must vary across the image, depending upon context. We have developed leading methods for doing this contrast enhancement, and we have proven their clinical efficacy. We are developing task-based image quality evaluation methods based on visual models and observer experiments. We attempt to optimize contrast enhancement according to these quality measures. For more information see: Graphics and Image Analysis Home Page Object & Shape Based Medical Image Analysis Publications CV Lectures Writing Help in English: Common punctuation and wording errors in American English Book - Medial Representations: Mathematics, Algorithms and Applications (password protected) Comp 550: Fall 2013 Lecture 1 Notes Reading Assignment MIP Grant Summary Statement (password protected) MICCAI Fellow Award Presentation Video MICCAI Workshop Papers Statistics on Diffeomorphisms in a Log-Euclidean Framework Statistical linear models in Procrustes shape space Entopy -Based Particle Systems for Shape Correspondence Evaluation of Atlas Construction Strategies in the Contex of Radiotherapy Planning Fast and Automated Creation of Patient-Specific 3D Heart Models From Tagged MRI To the faculty information page To the Computer Science Department home page Last updated 26 February 2009 diff --git a/src/data/compiled_bios/3495.txt b/src/data/compiled_bios/3495.txt new file mode 100644 index 0000000000..5ebc21bf8f --- /dev/null +++ b/src/data/compiled_bios/3495.txt @@ -0,0 +1 @@ + David A. Plaisted's Home Page David A. Plaisted Professor Contact Information Department of Computer Science University of North Carolina at Chapel Hill CB #3175, Sitterson Hall Chapel Hill, NC 27599-3175 (919) 590-6051 (Voice) (919) 590-6105 (Fax) My email address is plaisted at cs.unc.edu Secretary: Bridgette Cyr (919) 590-6222 (Voice) cyr (at) cs.unc.edu (e-mail) Education B.S. 1970 (Chicago) Ph.D. 1976 (Stanford) Research Interests Term rewriting systems Mechanical theorem proving Logic programming Algorithms Term-rewriting systems. These are essentially sets of equations directed from left to right, indicating that instances of the left-hand side may be replaced by the corresponding instances of the right-hand side. Such systems may be used as programming languages, and are also useful for theorem-proving applications. We are investigating methods of combining term-rewriting systems with first-order theorem provers. We developed a way of handling AC symbols using permutations and implemented it. We also studied techniques for applying efficient permutation group algorithms to equational theorem proving. Mechanical theorem proving. We are investigating methods to automate the process of searching for and checking proofs. This has applications to program verification and to teaching logic and mathematics, since a proof checker can be helpful for instructional purposes. We have developed a sequence of theorem-proving methods, the most recent being clause linking with semantics and ordered semantic hyper-linking. At the same time, we have developed analytical methods for studying the search efficiencies of theorem-proving strategies. As a result, we have developed provers that are among the best in terms of being able to prove a wide variety of non-equality problems with a minimum of human guidance. We have applied these provers to problems involving concept description languages in AI and planning problems, with good results. We have also investigated rigid E-unification, which is a version of unification relevant for certain theorem proving methods (based on "matings"). Logic programming. We have developed some simple but effective tests that permit the occurrence check in Prolog to be eliminated in most cases, while guaranteeing the same semantics as true unification. Program verification. We have developed theoretical methods for automatically generating the inductive assertions in program verification. We would like to see to what extent this can be implemented and applied to program verification. Program generation. We are studying the proofs-as-programs paradigm, in which programs are expressed as proofs in a logical system. This system permits the generation of programs that are correct with respect to their specifications. Our approach combines constructive and classical logic, with classical logic being used for the parts of the proofs that have no computational content. Also, our approach can handle nondeterminism and nonterminating programs. Publications from DBLP as of 1999 Book Ad Selected Publications (For copies of my publications, send me email. The following articles may also be obtained from your library by interlibrary loan.) (Reprints of some of my publications are available. ) L. Barnett and D. Plaisted. Programming by Term Rewriting. 10th International Workshop on Computing with Terms and Graphs (TERMGRAPH). Oxford, UK, July 7, 2018. M. Bonacina and D. Plaisted, Semantically-Guided Goal-Sensitive Reasoning: Model Representation, Journal of Automated Reasoning, February 2016, Volume 56, Issue 2, pp 113-141. D. Plaisted, A Sketch of the History and State of Automated Deduction , Workshop on Algorithms and Applications: In Honor of Ed Reingold's Contributions on his 70th Birthday, Oct. 12, 2015, Illinois Institute of Technology, Chicago, Illinois. D. Plaisted, History and Prospects for First-Order Automated Deduction , 25th International Conference on Automated Deduction, Berlin, Germany, August 1-7, 2015, pp. 3-28. Maria Paola Bonacina and David A. Plaisted. SGGS theorem proving: an exposition. In Notes of the Fourth Workshop on Practical Aspects in Automated Reasoning (PAAR), Seventh International Joint Conference on Automated Reasoning (IJCAR) and Sixth Federated Logic Conference (FLoC), Vienna, Austria, July 2014. EasyChair Proceedings in Computing (EPiC), 1-14, 2014 Maria Paola Bonacina and David A. Plaisted. Constraint manipulation in SGGS. In Notes of the Twenty-Eighth Workshop on Unification (UNIF), Seventh International Joint Conference on Automated Reasoning (IJCAR) and Sixth Federated Logic Conference (FLoC), Vienna, Austria, July 2014. Technical Report 14-06, Research Institute for Symbolic Computation, Johannes Kepler Universitaet, Linz, 47-54, 2014. Maria Paola Bonacina and David A. Plaisted. Semantically-guided goal-sensitive theorem proving (Abstract). Annual Meeting of the IFIP Working Group in Term Rewriting (WG 1.6), Sixth Federated Logic Conference (FLoC), Vienna, Austria, July 2014. D. Plaisted, Automated Theorem Proving , Wiley Interdisciplinary Reviews: Cognitive Science, March/April 2014, Volume 5, Issue 2, Pages 115-45. D. Plaisted, Source-to-Source Translation and Software Engineering , JSEA Special Issue on Software Dependability, Vol. 6 No. 4A, April, 2013. David Plaisted and Swaha Miller, The Relative Power of Semantics and Unification, in: Programming Logics: Essays in Memory of Harald Ganzinger (Lecture Notes in Computer Science / Theoretical Computer Science and General Issues), Andrei Voronkov and Christoph Weidenbach (Editors), Springer, March 13, 2013. D. Plaisted, Theorem Proving, in Encyclopedia of Computer Science and Engineering, Benjamin W. Wah, editor, John Wiley and Sons, Hoboken, NJ, January 2009, pp.223-244. Vladimir Lifschitz, Leora Morgenstern, and David Plaisted, Knowledge Representation and Classical Logic, in Handbook of Knowledge Representation, F. van Harmelen, V. Lifschitz, and B. Porter, eds., 2008, Elsevier, pp. 3-88. Swaha Miller and David A. Plaisted, The Space Efficiency of OSHL , International Conference on Automated Reasoning with Analytic Tableaux and Related Methods (TABLEAUX 2005), Bernhard Beckert, editor, Koblenz, Germany, September 14-17, 2005. Swaha Miller and David A. Plaisted, Performance of OSHL on Problems Requiring Definition Expansion , 7th International Workshop on First-Order Theorem Proving, Reinhold Letz, editor, Koblenz, Germany, September 15-17, 2005. David Plaisted and Swaha Miller, The Relative Power of Semantics and Unification , Workshop on Programming Logics in memory of Harald Ganzinger, Andreas Podelski, Andrei Voronkov and Reinhard Wilhelm, editors, Saarbruecken, Germany, June 3-4, 2005. David A. Plaisted, Armin Biere, Yunshan Zhu, A satisfiability procedure for quantified Boolean formulae, Discrete Applied Mathematics 130 (2003) 291-328. David Plaisted and Adnan Yahya, A relevance restriction strategy for automated deduction, Artificial Intelligence 144 (2003) 59-93. David Plaisted, A Hierarchical Situation Calculus , January, 2003, unpublished. David Plaisted, An Abstract Programming System , November, 2002, unpublished. Adnan Yahya and David Plaisted, Ordered Semantic Hyper-Tableaux, Journal of Automated Reasoning 29 (1): 17-57, July, 2002. Nachum Dershowitz and David Plaisted, Rewriting, in Handbook of Automated Reasoning, Volume 1, Alan Robinson and Andrei Voronkov, eds, North-Holland, 2001, pp. 535-610. J. Avenhaus and D. Plaisted, General algorithms for permutations in equational inference, Journal of Automated Reasoning, Vol. 26, no. 3 (April 2001) 223-268. David A. Plaisted and Yunshan Zhu, Ordered Semantic Hyper Linking, Journal of Automated Reasoning 25(3):167-217, October 2000. David A. Plaisted, Special cases and substitutes for rigid E-unification, Applicable Algebra in Engineering, Communication and Computing, Vol 10, No. 2 (2000) 97-152. David A. Plaisted and Gregory Kucherov, The complexity of some complementation problems, Information Processing Letters 71 (1999) 159-165. David A. Plaisted and Yunshan Zhu, Replacement Rules with Definition Detection, invited paper, Automated Deduction in Classical and Non-Classical Logics, Lecture Notes in Artificial Intelligence 1761, Ricardo Caferra and Gernot Salzer, eds., 1999, pp. 80-94. M. Osoria, B. Jayaraman and D. Plaisted, Theory of Partial Order Programming, Science of Computer Programming 34(3):207--238, 1999. D. Plaisted, Theorem Proving, in Wiley Encyclopedia of Electrical and Electronics Engineering, Volume 21, John G. Webster, editor, 1999, pp. 662 - 682. M. Paramasivam and David A. Plaisted, Automated Deduction Techniques for Classification in Description Logic Systems, Journal of Automated Reasoning 20(3), June, 1998, pp. 337-364. David A. Plaisted and Yunshan Zhu, Equational Reasoning using AC constraints, Fifteenth International Joint Conference on Artificial Intelligence (IJCAI-97), Nagoya, Japan, August 23-29,1997. M. Paramasivam and David A. Plaisted, RRTP, A Replacement Rule Theorem Prover, JAR 18(2) pp. 221-226, 1997. Heng Chu and David A. Plaisted, CLINS-S: A Semantically Guided First-Order Theorem Prover, JAR 18(2). David A. Plaisted and Yunshan Zhu, Ordered Semantic Hyper Linking, Proceedings of Fourteenth National Conference on Artificial Intelligence (AAAI97), July 27 - 31, 1997, Providence, Rhode Island. Plaisted, D. and Yunshan Zhu, Situation Calculus with Aspect, IASTED International Conference on Artificial Intelligence and Soft Computing'97. Banff, Canada, July 27 -- August 1, 1997. Yunshan Zhu and D. A. Plaisted, FOLPLAN: A Semantically Guided First-Order Planner, 10th International FLAIRS Conference, Daytona Beach, Florida, May 11-14,1997. Plaisted, D. and Y. Zhu, The Efficiency of Theorem Proving Strategies, Vieweg, 1997, 170 pp, ISBN: 3-528-05574-X. (To order, contact elisabeth.pflanz@bertelsmann.de.) Plaisted, D. and G. D. Alexander, Propositional Search Efficiency and First-Order Theorem Proving, SATISFIABILITY PROBLEM: THEORY AND APPLICATIONS (DIMACS Workshop March 11-13, 1996), Ding-Zhu Du, Jun Gu, and Panos Pardalos, eds., (AMS, 1997, Providence, RI), pp. 335-350. Plaisted, D. A. and Sattler-Klein, A. "Proof Lengths for Equational Completion," Information and Computation 125:2 (March, 1996) 154-170. Special Issue on Term Rewriting Systems, D. A. Plaisted, ed., Fundamenta Informaticae 24:1,2, Sept.-Oct., 1995, 207 pp. Lee, Shie-Jue and D. A. Plaisted, Controlling the consumption of storage with sliding priority search in a hyper-linking based theorem prover, Computers and Artificial Intelligence 14:6 (1995) 563-578. Omondi, A. and Plaisted, D. A., "A model for the parallel execution of subset-equational languages," Future Generation Computer Systems 11:3, June, 1995, 295-320. Paramasivam, M., and Plaisted, D.A., "Automated Deduction Techniques for Subsumption Checking in Concept Languages," Proc. Fourth Golden West International Conference on Intelligent Systems, San Francisco, Calif., 12-14 June 1995. Plaisted, D. A. "The Search Efficiency of Theorem Proving Strategies," Proc. 12th Conference on Automated Deduction, Nancy, France, 28 June-1 July 1994. Lecture Notes in Artificial Intelligence #814, Springer-Verlag, 1994, 57-71. Chu, H., and Plaisted, D.A., "Semantically Guided First-Order Theorem Proving Using Hyper-Linking," Proc. 12th Conference on Automated Deduction, Nancy, France, 28 June-1 July 1994. Lecture Notes in Artificial Intelligence #814, Springer-Verlag, 1994, 192-206. Chadha, R., and Plaisted, D.A., "Correctness of Unification Without Occur Check in Prolog," Journal of Logic Programming, 18(2), Feb. 1994, 99-122. Lee, Shie-Jue and Plaisted, D. A. "Use of replace rules in theorem proving," Methods of Logic in Computer Science 1 (1994) 217-240. Lee, S.-J, and Plaisted, D. A., "Problem Solving by Searching for Models With a Theorem Prover," Artificial Intelligence, 69, 1994, 205-233. Gabbay, D., H. J. Ohlbach, and D. A. Plaisted. "Killer Transformations," Proc. 1993 Workshop on Proof Theory in Modal Logic, Hamburg, Germany, 18-22 Nov. 1993, 1-45. Chu, H. and Plaisted, D. A., "Rough Resolution: A Refinement of Resolution to Remove Large Literals," Eleventh National Conference on Artificial Intelligence, Washington, DC, July 11 to July 16, 1993. Plaisted, D. A., "Polynomial Time Termination and Constraint Satisfaction Tests," Fifth International Conference on Rewriting Techniques and Applications, Montreal, Canada, June 16-18, 1993, pp. 405-420. Gallier, J., P. Narendran, D. Plaisted, S. Raatz, and W. Snyder. "An Algorithm for Finding Canonical Sets of Ground Rewrite Rules in Polynomial Time," Journal of the ACM, 40(1), 1993, 1-16; reprinted from Proc. Ninth Conference on Automated Deduction. Chadha, R., and D. A. Plaisted. "On the Mechanical Derivation of Loop Invariants," Journal of Symbolic Computation, 15(5-6), 1993, 705-744. Plaisted, D. A. "Equational Reasoning and Term Rewriting Systems," Handbook of Logic in Artificial Intelligence and Logic Programming, Vol. 1, D. Gabbay and J. Siekmann, eds., New York, N.Y.: Oxford University Press, 1993, 273-364. Summary of Research Accomplishments CADE biography Personal Information Propositional Approaches to First-Order Theorem Proving (Slide Show) Shortened Version The Relative Power of Semantics and Unification (Slide Show) OSHL: A Propositional Prover with Semantics for First-Order Logic (Slide Show) Comp 246 Logic Programming: Prolog program directory Comp 550 (old 122) Information: [ Web links ] First-Year Seminar Information: [ Web links ] [Location: Sitterson 115] Comp 283 Information: [ Web links ] Comp 455 Information: [ Web links ] Comp 750 Information for Fall 2010: [ Web links ] Comp 202 Information: Course syllabus [ PostScript ] [ DVI ] Transparencies for Algorithms Course [ PostScript ] [ DVI ] Figures for Algorithms Course [ PostScript ] Last updated 19 November 2003 To the faculty information page To the Computer Science Department home page diff --git a/src/data/compiled_bios/3496.txt b/src/data/compiled_bios/3496.txt new file mode 100644 index 0000000000..417ecac02c --- /dev/null +++ b/src/data/compiled_bios/3496.txt @@ -0,0 +1 @@ + Donald E. Porter a.k.a. Don Porter Associate Professor of Computer Science at The University of North Carolina at Chapel Hill . Office: 319 Sitterson Hall Email: porter [at] cs {dot} unc (dot) edu Phone/Fax: (919) 590-6044 Department of Computer Science University of North Carolina at Chapel Hill Campus Box 3175, Brooks Computer Science Building Chapel Hill, NC 27599-3175 Ph.D. in Computer Science, The University of Texas at Austin, 2010. M.S. in Computer Science, The University of Texas at Austin, 2007. B.A. in Computer Science and Mathematics, Hendrix College, 2003. My research develops better abstractions for managing concurrency and security, primarily in the operating system, and extends these abstractions to other portions of the technology stack as appropriate. I am the ringleader of the Operating systems, Security, Concurrency, and Architecture Research (OSCAR) Lab. I was honored to receive an NSF CAREER award in 2012. During Fall 2017, I am a Visiting Assistant Professor at the Distributed Systems Group at Instituto Superior Tcnico . I am also a Research Assistant Professor of Computer Science at Stony Brook University . I am currently serving as a Technical Advisor to Fortanix, working on building secure applications for Intel SGX. Selected Publications ( complete publications ) Supporting I/O and IPC via Fine-Grained OS Isolation for Mixed-Criticality Real-Time Tasks Namhoon Kim , Stephen Tang, Nathan Otterness, James H. Anderson , F. Donelson Smith , and Donald E. Porter [PDF] RTNS '18 [Awarded Best Paper] SteeringWheel: A Locality-Preserving Magnification Interface for Low Vision Web Browsing Syed Masum Billah , Vikas Ashok , Donald E. Porter, and I.V. Ramakrishnan [ PDF ] CHI '18 The Full Path to Full-Path Indexing Yang Zhan , Alex Conway, Yizheng Jiao , Eric Knorr, Michael A. Bender , Martin Farach-Colton William Jannen , Rob Johnson , Donald E. Porter, and Jun Yuan , [ PDF ] FAST '18 [Best Paper Nominee] Stash in a Flash Aviad Zuck , Yue Li Jehoshua Bruck , Donald E. Porter, and Dan Tsafrir [ PDF ] FAST '18 UIWear: Easily Adapting User Interfaces for Wearable Devices Jian Xu , Qingqing Cao , Aditya Prakash, Aruna Balasubramanian , and Donald E. Porter [ PDF ] MobiCom '17 [ Video ] Graphene-SGX: A Practical Library OS for Unmodified Applications on SGX Chia-Che Tsai , Donald E. Porter, and Mona Vij [ PDF ] ATC '17 Ubiquitous Accessibility for Users with Visual Impairments: Are We There Yet? Syed Masum Billah , Vikas Ashok , Donald E. Porter, and I.V. Ramakrishnan [ PDF ] CHI '17 File Systems Fated for Senescence? Nonsense, Says Science! Alex Conway, Ainesh Bakshi , Yizheng Jiao , Yang Zhan , Michael A. Bender , William Jannen , Rob Johnson , Bradley C. Kuszmaul , Donald E. Porter, Jun Yuan , and Martin Farach-Colton [ PDF ] FAST '17 A Study of Modern Linux API Usage and Compatibility: What to Support When You're Supporting Chia-Che Tsai , Bhushan Jain , Nafees Ahmed Abdul , and Donald E. Porter [ PDF ] EuroSys '16 [Awarded Best Paper] Sinter: Low-Bandwidth Remote Access for the Visually-Impaired Syed Masum Billah , Donald E. Porter, and I.V. Ramakrishnan [ PDF ] EuroSys '16 Optimizing Every Operation in a Write-Optimized File System Jun Yuan , Yang Zhan , William Jannen , Prashant Pandey , Amogh Akshintala , Kanchan Chandnani , Pooja Deo , Zardosht Kasheff, Leif Walsh, Michael Bender , Martin Farach-Colton , Rob Johnson , Bradley C. Kuszmaul , and Donald E. Porter [ PDF ] FAST '16 [Awarded Best Paper] How to Get More Value From Your File System Directory Cache Chia-Che Tsai , Yang Zhan , Jayashree Reddy, Yizheng Jiao , Tao Zhang , and Donald E. Porter [ PDF ] SOSP '15 [ Single-column (ereader-friendly)] BetrFS: A Right-Optimized Write-Optimized File System William Jannen , Jun Yuan , Yang Zhan , Amogh Akshintala , John Esmet, Yizheng Jiao , Ankur Mittal , Prashant Pandey , Phaneendra Reddy, Leif Walsh, Michael Bender , Martin Farach-Colton , Rob Johnson , Bradley C. Kuszmaul , and Donald E. Porter [ PDF ] FAST '15 [Runner-up Best Paper] SoK: Introspections on Trust and the Semantic Gap Bhushan Jain , Mirza Basim Baig , Dongli Zhang , Donald E. Porter, and Radu Sion [ PDF ] Oakland '14 Cooperation and Security Isolation of Library OSes for Multi-Process Applications Chia-Che Tsai , Kumar Saurabh Arora, Nehal Bandi, Bhushan Jain , William Jannen , Jitin John, Harry A. Kalodner, Vrushali Kulkarni, Daniela Oliveira , and Donald E. Porter [ PDF ] EuroSys '14 Practical Techniques to Obviate Setuid-to-Root Binaries Bhushan Jain , Chia-Che Tsai , Jitin John , and Donald E. Porter [ PDF ] EuroSys '14 Improving Server Applications with System Transactions Sangman Kim , Michael Z. Lee , Alan M. Dunn , Owen S. Hofmann , Xuan Wang , Emmett Witchel , and Donald E. Porter [ PDF ] EuroSys '12 TxBox: Building Secure, Efficient Sandboxes with System Transactions Suman Jana , Donald E. Porter, and Vitaly Shmatikov [ PDF ] Oakland '11 Rethinking the Library OS from the Top Down Donald E. Porter, Silas Boyd-Wickizer , Jon Howell , Reuben Olinsky , and Galen Hunt [ PDF ] ASPLOS '11 Operating System Transactions Donald E. Porter, Ph.D. Dissertation, The University of Texas at Austin, December 2010. [ PDF ] Winner, Bert Kay Dissertation Award from the UT Department of Computer Science. Understanding Transactional Memory Performance Donald E. Porter and Emmett Witchel [ PDF ] ISPASS '10 Operating System Transactions Donald E. Porter, Owen S. Hofmann , Christopher J Rossbach , Alexander Benn , and Emmett Witchel [ PDF ] SOSP '09 Teaching COMP 411 Computer Organization Spring 2018 COMP 530 Operating Systems (undergrad) Fall 2018 , Fall 2016 COMP 790 Topics: Virtualization Spring 2017 Details on older courses are available here . JOS 64. As part of my Graduate OS course, we have ported JOS to the amd64 architecture. The code and exercises are available on the course page , and solutions are available to instructors upon request. HOSS (aka JOS VMM) . As part of a new topics course on virtualization, we have extended JOS to work as a hypervisor for paravirtual JOS instances. The code and exercises are available here . Projects BetrFS - A write-optimized, general purpose Linux file system. Graphene - A rich Linux library OS, including support for multi-process applications. Protego - Practical techniques to obviate setuid-to-root binaries on Linux. TxOS - Adding transactions to the system call API. Laminar - Practical, fine-grained decentralized information flow control (DIFC) support in both the JVM and Linux kernel. Syncchar - Analyzing and tuning the performance of transactional memory workloads. MetaTM/TxLinux - Using hardware transactional memory in the OS kernel. Program Committees 2019: ATC , SOSP 2018: SYSTOR (Co-Chair), ASPLOS (ERC) , SFMA , OSDI 2017: SOSP , HotOS , USENIX ATC , WWW , SYSTOR , ICDCS , MSST , HotStorage , MaRS 2016: VEE (Co-Chair), EuroSys , SYSTOR , MSST 2015: EuroSys , FAST (and Poster/WiP session ), IC2E , VEE , SFMA , IEEE CLOUD , SOSP Poster Session 2014: IC2E , VEE , SFMA , EuroSys Poster Session , APSys, OSDI Poster Session 2013: IC2E , IPDPS , SOSP Poster Session 2012: SYSTOR Other Funding Software Documentation Google Scholar Profile Erds Number (3) My Academic Genealogy diff --git a/src/data/compiled_bios/3497.txt b/src/data/compiled_bios/3497.txt new file mode 100644 index 0000000000..adbb1bbf24 --- /dev/null +++ b/src/data/compiled_bios/3497.txt @@ -0,0 +1 @@ + Diane Pozefsky Department of Computer Science University of North Carolina Office: Sitterson FB134 email: pozefsky@cs.unc.edu phone: 919-590-6117 Current Courses COMP 523: Software Engineering Lab COMP 524: Programming Language Concepts COMP 585: Serious Games I received my Ph.D. from the Department of Computer Science at UNC in 1979 and have lived in Chapel Hill since then. I came back to UNC after retiring from IBM in June 2004. I focus on undergraduate teaching, including courses for upperclassmen and for non-majors. I am the adviser for the BS/MS program, which gives me the opportunity to work with students in both the undergraduate and graduate programs. I also collaborate with Dr. Alex Tropsha from the School of Pharmacy building a web site, Chembench , that provides drug discovery tools for public use. My work in software engineering has furthered my appreciation of Dr. Brooks's concept of the computer scientist as toolsmith . It has given me the opportunity to work with organizations across campus, non-profits in the area, and the entrepreneur community. It also heightened my awareness of the need for software engineers to understand the implications and ethical issues related to their work and lead to teach a course in that area. Several years ago students asked me to offer a course about games and I now regularly teach courses in the field of serious games (games with a use beyond entertainment). Combining my interest in games and software engineering has lead me to exploration of what we can learn from games to improve our software. I worked for IBM for 25 years and was named an IBM Fellow in 1994. While at IBM I had the opportunity to work with international teams, create conferences for women, create an "intrapreneurship" within the company, and help govern the company's Academy of Technology . My work revolved around networking and software engineering, including developing networking protocols, deploying the network at the Nagano Olympics, product development, and advanced technology work in integration of calendar, telephony, and email. My other professional interests include encouraging the entrepreneurial spirit and extending the reach of computer science to under-represented communities (including women) Outside of work, I enjoy travel, reading, and animals. I've traveled to all seven continents and we're now working our way through the National Parks. My daughter works as an environemntal specialist for the federal government and my husband is happily retired from IBM. In July 2017, we welcomed a grandson into our family. Honors Theses Luke Fernandez , Rendering an In-Browser, 360 Environment from Disjoint Live Camera Feeds (2017) Amanda Lohmann , An IMU-Enabled Camera Rig for Wide-Range Stereo Videography in the Field (2017) Bradley Davis , Congestion Avoidance on Road Networks through Adaptive Routing on Contracted Graphs (2016) Brian Gottfried , NoSQL, Neo4j, and Chemotext: A Primer on Picking the Right Database For Your Problem Space (2014) TJ Tkacik , Analysis and QSAR Modeling of Human Intestinal Transporter Database (2014) Nicholas Bartlett , Multi-Threading and Parallelization (2013) Samuel Gass , Improved Aprallelization in Job Management for Chembench (2013) Ian Kim , NoSQL Databases and Their Applications (2013) Wilson Liam , Heuristic-Based OCR Post-Correction for Smart Phone Applications (2009) James Uhing , Leveraging Ontologies to Enhance Recommendation Systems (2009) Paul Pucciarelli , Videowner: Fingerprint Based DigitalVideo Comparison (2008) Joel Sutherland , Object Resource Manager and its Application to a Sea Turtle Virtual Environment (2007) Adi Unnithan , Improving Search Relevancy through Human Indexing and Data Mining (2007) Masters Papers Nick Bartlett , Web Applications, Architectures, and Frameworks: An Analysis of Web Applcations (2017) Federico Menozzi , An Overview of Coherent Noise Functions and Procedural Generation (2017) Mike Rooney , Decoupling Brains and Brawn: The Benefits of Offloading AI Computation from the Game Engine vis an API (2016) Jennifer Baulier , Procedural Generation in Games (2016) Jordan Reese , A SUrvey of Memory Management and its Challenges (2015) Yichen Song , A Survey on Distributed Storage Systems (2015) Shuang Lu , 3D UI Design and Implementation for PRISM System (2014) Samuel Gass , The State of Big Data: A Survey of Methods for Working with Large Datasets (2014) Zach Cross , Fault Tolerance and COnsensus in Distributed Systems (2014) Ameem Shaik , A Survey of Supervised Learning Algorithms (2014) Will Hipschmann , Fault-Tolerant Broadcasts (2013) David Idol , Performance Differences between HTTP Long Polling and Websockets (2013) Lavar Askew , Evaluation of Optical Character Recognition Software for Retail Receipts (2012) Kaiwen Qi , High-Precision Focus Control Using HRPWM of Micro Controller (2012) Eric LaForce , Search Engines (2009) Stefan Estrada , Virtualization (2007) Julia Grace , Virtual Worlds (2007) Curriculum Vitae Last updated 27 May 2017 diff --git a/src/data/compiled_bios/3498.txt b/src/data/compiled_bios/3498.txt new file mode 100644 index 0000000000..9f922c4630 --- /dev/null +++ b/src/data/compiled_bios/3498.txt @@ -0,0 +1 @@ + Jan F. Prins Ph.D., Cornell University, 1987 Curriculum Vitae Professor of Computer Science RENCI Research Fellow Department of Computer Science University of North Carolina Chapel Hill, NC, 27599-3175, USA Email: prins@cs.unc.edu Tel: +1-919-590-6213 Fax: +1-919-590-6111 Research Interests High-performance computing: algorithms, parallel programming languages, compilers and architectures. Applications in Bioinformatics and Computational Biology. Publications A curated list of publications is maintained in Google Scholar Publications ordered by citation count (as computed by Google Scholar) Publications ordered by recency Access to publications organized by topic (not up to date) Projects Transcriptome analysis from RNA-seq data (joint with Univ of Kentucky, supported by NIH and NSF). Power and Energy reduction in HPC applications (joint with RENCI, supported by DoD and DOE). Previous projects: Project website Advanced Algorithms and Software for Problems in Computational Bio-Fluid Dynamics; Carolina Center for Exploratory Genetic Analysis ; Mining protein-family specific amino-acid packing patterns ; Irregular Parallel Algorithms : algorithmic, language, compilation, and hardware techniques for high performance execution of unstructured problems; Time-adaptive techniques for accelerating n-body simulations ; Software and development for the DeltaSphere 3D Scene Digitizer with Lars Nyland at 3rdTech, Inc. ; Evaluation of Unified Paralllel C (UPC) parallel programming language and compilers; Problem-solving environment for multiphase subsurface flow and transport phenomena; Parallel Computing Resource for Structural Biology : parallel algorithms and implementations for Molecular Dynamics simulations; Proteus : a language for prototyping parallel algorithms; Architecture-independent design methodology for parallel algorithms; High performance implementation of parallel algorithms; Lattice gas methods for modeling fluid flow and contaminant transport in heterogeneous multiphase systems; CAETI - Software infrastructure for distributed educational applications Research Collaborators Graduate Students . Faculty: Jinze Liu (UKY Computer Science), Corbin Jones (Biology), Praveen Sethupathy (Genetics), Chuck Perou and Neil Hayes ( Cancer Genome Atlas Project at Lineberger Cancer Center), Bill Marzluff (Biochemistry & Biophysics), Perpetua Muganda (NCAT Biology), Casey Miller (Environmental Science and Engineering) and James McClure (VT Adv Res Comp), Lars Nyland (Nvidia) Teaching Course Information COMP 520 Compilers (Spring 2019) COMP 633 Parallel Computing (Fall 2018) BCB 716 Sequence Analysis (Fall 2018) COMP 790-201 Predictive Models for High-Dimensional Data Analysis [with Joshua Welch] (Spring 2016) COMP 555 Bioalgorithms (Fall 2014) COMP 240 Advanced Compiler Design COMP 15 Introduction to Functional Programming COMP 290-33 Seminar on Parallel Algorithms Personal Information Last revision: Jan 2019 Maintained by: prins@cs.unc.edu diff --git a/src/data/compiled_bios/3499.txt b/src/data/compiled_bios/3499.txt new file mode 100644 index 0000000000..cd40f5ef13 --- /dev/null +++ b/src/data/compiled_bios/3499.txt @@ -0,0 +1 @@ + Michael Reiter Lawrence M. Slifkin Distinguished Professor Department of Computer Science University of North Carolina at Chapel Hill Contact Biography Curriculum vitae Courses [ Spring 2019 ] Publications [ by year , by forum ] PhD students [ past , present , future ] Wordle representation of paper titles Announcements I usually have openings in my group for new Ph.D. students. Please read this if you are interested in applying. Advertisements Here are some upcoming conferences in which I'm somehow involved. 2019 ISOC Network and Distributed System Security Symposium 40th IEEE Symposium on Security and Privacy 2019 USENIX Annual Technical Conferences diff --git a/src/data/compiled_bios/35.txt b/src/data/compiled_bios/35.txt new file mode 100644 index 0000000000..345c22099d --- /dev/null +++ b/src/data/compiled_bios/35.txt @@ -0,0 +1 @@ + Sariel Har-Peled Donald Biggar Willett Professor in Engineering 3306 Siebel Center for Comp Sci 201 N. Goodwin Ave. Urbana Illinois 61801 (217) 333-4219 sariel@illinois.edu : Primary Research Area Theory and Algorithms Research Areas Theory and Algorithms . Primary Research Area Theory and Algorithms Research Areas Theory and Algorithms . . . diff --git a/src/data/compiled_bios/350.txt b/src/data/compiled_bios/350.txt new file mode 100644 index 0000000000..2f447a438e --- /dev/null +++ b/src/data/compiled_bios/350.txt @@ -0,0 +1 @@ +Name: Gupta, Neeraj:: Position: Senior Lecturer:: Degrees: Ph.D., The University of North Texas; diff --git a/src/data/compiled_bios/3500.txt b/src/data/compiled_bios/3500.txt new file mode 100644 index 0000000000..fb9621ba7c --- /dev/null +++ b/src/data/compiled_bios/3500.txt @@ -0,0 +1 @@ + Associate Professor Department of Computer Science UNC Chapel Hill Office: FB234 Brooks Building Tel: +1 (919) 590-6132 Fax: +1 (919) 590-6105 Teaching for Spring 2018: Digital Logic and Computer Design (Comp541) Mon/Wed/Fri 1:25-2:40pm, FB007 Computer Organization and Design (Comp411) Mon/Wed/Fri 11:15am-12:30pm, SN014 International Symposium on Asynchronous Circuits and Systems 2009: ASYNC 2009 Symposium May 17-20, 2009 Univ. of North Carolina at Chapel Hill Asynchronous (clockless) design in the news: Faster Chips That March to Their Own Improvised Beat , New York Times, August 22, 2002. As Chips Reach Speed Limit, Makers Tap Into 'Clockless' Logic , International Herald Tribune, December 17, 2001. It's Time for Clockless Chips , Technology Review Magazine (based in MIT), vol. 104, no. 8 (pp. 36-41), October 2001. Designers Look To Take Computer Chips Off The Clock , Newsfactor Network, September 18, 2001. Computing Pioneer Challenges the Clock , New York Times, March 5, 2001. Old Tricks for New Chips , The Economist, April 19, 2001. My general research interests lie in the areas of digital systems,high-performance and low-power digital design, and VLSI CAD. The main focus ofmy recent work is on asynchronous digital design, and its applications toembedded systems, multimedia and system-on-a-chip design. Contact information: Department of Computer Science Sitterson Hall, CB 3175 UNC Chapel Hill Chapel Hill, NC 27599 Page updated 01/15/08 . diff --git a/src/data/compiled_bios/3501.txt b/src/data/compiled_bios/3501.txt new file mode 100644 index 0000000000..f3dbeceb20 --- /dev/null +++ b/src/data/compiled_bios/3501.txt @@ -0,0 +1 @@ + F. Donelson (Don) Smith Research Professor Contact Information Department of Computer Science University of North Carolina at Chapel Hill CB #3175, Sitterson Hall Chapel Hill, NC 27599-3175 (919) 962-1884 (Voice) (919) 962-1799 (Fax) To send me e-mail, click here: smithfd@cs.unc.edu Secretary: Anna Snyder (919) 962-1851 (Voice) asnyder@cs.unc.edu (e-mail) My official CS department biography is here. My (somewhat) current CV is here. My research is a collaboration with: Kevin Jeffay Jasleen Kaur See also the Web page for DiRT (Distributed and Real-Time Systems) Selected Publications Abstracts and full text of papers can be found here . J. Terrell, K. Jeffay, F. D. Smith, J. Gogan, J. Keller, Passive Streaming Inference of TCP Connection Structure for Network Server Management, IFIP 1st International Workshop on Traffic Monitoring and Analysis , Lecture Notes in Computer Science , Springer-Verlag, Vol. 5537, pp. 42-53, May 2009. J. Terrell, K. Jeffay, F. D. Smith, J. Gogan, J. Keller, Exposing Server Performance to Network Managers Through Passive Network Measurements, IEEE Internet Network Management Workshop , October 2008. L. Zhang, Z. Zhu, K. Jeffay, J. S. Marron, and F. D. Smith, Multi-Resolution Anomaly Detection for the Internet, IEEE Workshop on Automated Network Management , April 2008. L. Le, J, Aikat, K. Jeffay, and F.D. Smith, The Effects of Active Queue Management and Explicit Congestion Notification on Web Performance, IEEE/ACM Transactions on Networking , Vol 15, No. 6, December 2007, pp 1217-1230. S. Rewaskar, J. Kaur, and F.D. Smith, A Performance Study of Loss Detection/Recovery in Real-world TCP Implementations, Proceedings of IEEE ICNP 2007 , October 2007, pp. 256-265. F. Hernndez-Campos, K. Jeffay, F. D. Smith, Modeling and Generating TCP Application Workloads (invited paper) Proceedings of IEEE Broadnets 2007 , September 2007. M.C. Weigle, K. Jeffay, and F.D. Smith, Quantifying the Effects of Recent Protocol Improvements to TCP: Impact on Web Performance, Computer Communications , Vol 29, No 15, September 2006, pp. 2853-2866. S. Rewaskar, J. Kaur, and F.D. Smith, A passive state-machine approach for accurate analysis of TCP out-of-sequence segments, ACM SIGCOMM Computer Communication Review , Vol. 36, No. 3, July 2006, pp. 51-64. M. C. Weigle, P. Adurthi, F. Hernndez-Campos, K. Jeffay, F. D. Smith, Tmix: a tool for generating realistic TCP application workloads in ns-2, ACM SIGCOMM Computer Communication Review , Vol. 36, No. 3, July 2006, pp. 65-76. L. Le, K. Jeffay, and F.D. Smith, A Loss and Queuing-Delay Controller for Router Buffer Management, Proceedings of IEEE ICDCS 2006 , July 2006. F. Hernndez-Campos, A. B. Nobel, F. D. Smith, and K. Jeffay, Understanding Patterns of TCP Connection Usage with Statistical Clustering, Proceedings of MASCOTS 2005 , October 2005, pp. 35-44 C. Park, F. Hernndez-Campos, J. S. Marron, and F.D. Smith, Long-Range Dependence in a Changing Internet Traffic Mix, Computer Networks , Vol. 48, No. 3, June 2005, pp. 401-422 M. C. Weigle, K. Jeffay, and F.D. Smith, Delay-Based Early Congestion Detection and Adaptation: Impact on Web Performance, Computer Communications , Vol. 28, No. 8, May 2005, pp. 837-850 L. Le, J, Aikat, K. Jeffay, and F.D. Smith, Differential Congestion Notification: Taming the Elephants, Proceedings of IEEE ICNP , October 2004, pp. 118-128. J. Cao, W.S. Cleveland, Y. Gao, K. Jeffay, F.D. Smith, and M.C. Weigle, Stochastic Models for Generating Synthetic HTTP Source Traffic, Proceedings of INFOCOM 2004 , pp. 1546-1557 A. Budhiraja, F. Hernndez-Campos, V.G. Kulkarni, and F. D. Smith, Stochastic Differential Equation for TCP Window Size: Analysis and Experimental Validation, Probability in the Engineering and Informational Sciences , vol. 18, no. 1, January 2004, pp. 111-140. J. S. Marron, F. Hernandez-Campos, and F.D. Smith, A SiZer Analysis of IP Flow Start Times, in Institute of Mathematical Statistics Lecture Notes-Monograph Series, Volume 44 , J. Rojo and V. Perez-Abreu (Eds), 2004, pp. 87-105. Jan Hannig, J.S. Marron, Gennady Samorodnitsky and F.D. Smith, Log-Normal Durations Can Give Long Range Dependence, in Institute of Mathematical Statistics Lecture Notes-Monograph Series, Volume 42 , M. Moore, S. Froda and C. Leger, (Eds), 2004, pp. 333-345. J. Aikat, J. Kaur, F. D. Smith, and K.Jeffay, Variability in TCP Round-trip Times,'' in Proceedings of the ACM SIGCOMM Internet Measurement Conference , Miami, FL, October 2003, pp. 279-284. F. Hernndez-Campos, Kevin Jeffay and F. D. Smith, Tracking the Evolution of Web Traffic: 1995-2003, Proceedings of ACM/IEEE MASCOTS 2003 , October 2003, pp 16-25. M.C. Weigle, K. Jeffay, and F.D. Smith, Quantifying the Effects of Recent Protocol Improvements to TCP: Impact on Web Performance, Computer Communications , September 2006, Vol 29, No 15, pp. 2853-2866. An earlier version appeared as Quantifying the Effects of Recent Protocol Improvements to Standards-Track TCP, Proceedings of ACM/IEEE MASCOTS 2003 , October 2003, pp 226-229. L. Le, J, Aikat, K. Jeffay, and F.D. Smith, The Effects of Active Queue Management on Web Performance, Proceedings of ACM SIGCOMM 2003 , pp. 265-276. F. Hernndez-Campos, A. B. Nobel, F. D. Smith, and K. Jeffay, Statistical Clustering of Internet Communication Patterns, Proceedings of the 35th Symposium on the Interface of Computing Science and Statistics , Computing Science and Statistics, Vol. 35 , July 2003. F. Hernndez-Campos, J. S. Marron, G. Samorodnitsky and F. D. Smith, Variable Heavy-Tail Durations in Internet Traffic, Part II: Theoretical Implications, Proceedings of the 40th Allerton Conference on Commuciations, Control and Computing , October, 2002. F. Hernndez-Campos, J. S. Marron, G. Samorodnitsky and F. D. Smith, Variable Heavy-Tails in Internet Traffic, Performance Evaluation , vol. 58, no.2-3, November 2004, pp. 261-284. An earlier version appeared as Variable Heavy-Tail Durations in Internet Traffic, Part I: Understanding Heavy Tails, Proceedings of ACM/IEEE MASCOTS 2002 , October, 2002, pp 43-52. J. S. Marron, F. Hernndez-Campos, and F. D. Smith, Mice and Elephants Visualization of Network Traffic, Proceedings of 15th Conference on Computational Statistics , August, 2002. F.D. Smith, F. Hernandez, K. Jeffay, and D. Ott, What TCP/IP Protocol Headers Can Tell Us About the Web, Proceedings of ACM SIGMETRICS 2001/Performance 2001, Cambridge, MA, June 2001, pp. 245-256. M. Christiansen, K. Jeffay, D. Ott, and F.D. Smith, Tuning RED for Web Traffic, IEEE/ACM Transactions on Networking, Vol. 9, No. 3, June 2001, pp. 249-264. An abbreviated version appeared in Proceedings of ACM SIGCOMM 2000, August 2000, pp. 139-150. M. Parris, K. Jeffay, and F.D. Smith, "Lightweight Active Router-Queue Management for Multimedia Networking," Proceedings, Multimedia Computing and Networking 1999, SPIE Proceedings Series, Volume 3654, San Jose, CA, January 1999, pp. 162-174. K. Jeffay, F.D. Smith, A. Moorthy, and J.H. Anderson, Proportional Share Scheduling of Operating System Services for Real-Time Applications, Proceedings of the 19th IEEE Real-Time Systems Symposium, Madrid, Spain, December 1998, pp. 480-491. M. Parris, K. Jeffay, F.D. Smith, and J. Borgersen, "A Better-Than-Best-Effort Service for Continuous Media UDP Flows," Proceedings of the Eighth International Workshop on Network and Operating System Support for Digital Audio and Video, Cambridge, UK, July 1998, pp. 193-197. K. Jeffay, M. Parris, F.D. Smith, and T.M. Talley, "A Router-Based Congestion Control Scheme For Real-Time Continuous Media," Proceedings of the Sixth International Workshop on Network and Operating System Support for Digital Audio and Video, Zushi, Japan, April 1996.. K. Jeffay, D.L. Stone, and F.D. Smith, "Transport and Display Mechanisms for Multimedia Conferencing Across Packet-Switched Networks," Computer Networks and ISDN Systems, Vol. 26, No. 10 (July 1994), pp. 1281-1304. Also republished in B. Furht and M. Milenkovic (Eds), A Guided Tour of Multimedia Systems and Applications, IEEE Computer Society Press, Los Alamitos, CA, 1995, pp. 439-461. D. Stotts, J.B. Smith, P. Dewan, K. Jeffay, F.D. Smith, D. Smith, S. Weiss, J. Coggins, and W. Oliver, "A Patterned Injury Digital Library for Collaborative Forensic Medicine," Proceedings of Digital Libraries'94, The First Annual Conference on the Theory and Practice of Digital Libraries, College Station, TX, June 1994. Shackelford, D., J. B. Smith, and F. D. Smith. "The Architecture and Implementation of a Distributed Hypermedia Storage System," Proc. ACM Hypertext '93, Seattle, Wash., Nov. 1993, 1-14. Republished in G.M. Olson, T.W. Malone, and J.B. Smith (Eds), Coordination Theory and Collaboration Technology, Lawrence Erlbaum Associates, Publishers, Mahwah, NJ, 2001, pp. 391-408. Jeffay, K., J. K. Lin, J. Menges, F. D. Smith, and J. B. Smith. "Architecture of the Artifact Based Collaboration System Matrix," Proc. CSCW '92, ACM Conference on Computer Supported Cooperative Work, Toronto, Canada, Nov. 1992, 195-202. Jeffay K., D. L. Stone, T. Talley and F. D. Smith. "Adaptive, Best-Effort Delivery of Audio and Video Data Across Packet-Switched Networks," in Network and Operating Systems Support for Digital Audio and Video Proceedings, V. Rangan, ed. Lecture Notes in Computer Science 712, Springer-Verlag, Heidelberg, 1993, 3-14, Jeffay, K., D. L. Stone, T. Talley, and F. D. Smith. "Network Support for Video Teleconferencing Across Local-Area Networks," Proc. IEEE/ACM Third International Workshop on Network and Operating Systems Support for Digital Audio and Video, San Diego, Calif., Nov. 1992, 1-6. Smith, J., and F. D. Smith. "ABC: A Hypermedia System for Artifact-Based Collaboration." Proceedings of Hypertext '91, San Antonio, Texas, Dec. 1991. Jeffay, K., D. L. Stone, and F. D. Smith. "Kernel Support for Live Digital Audio and Video," Proc. Second International Workshop on Network and Operating System Support for Digital Audio and Video, Springer-Verlag, Nov. 1991. Also reprinted in Computer Communications, July 1992, 16(6), 388-395. Jeffay, K., and F. D. Smith. "System Design for Workstation-Based Conferencing with Digital Audio and Video,'' Proc. TriComm '91: IEEE Conference on Communications Software, Chapel Hill, N.C., April, 1991, 169-177. Jeffay, K. and F. D. Smith. "Designing a Workstation-Based Conferencing System Using the Real-Time Producer/Consumer Paradigm," Proc. First International Workshop on Network and Operating System Support for Digital Audio and Video, Berkeley, Calif., Nov. 1990. Morris, J., M. Satyanarayanan, M. H. Conner, J. H. Howard, D.S.H. Rosenthal, and F. D. Smith. "Andrew: A Distributed Personal Computing Environment," Communications of the ACM, 29(3) March 1986, 184-201. Smith, F. D. and C. H. West. "Technologies for Network Architecture and Implementation," IBM Journal of Research and Development, 27(1) Jan. 1983, 68-78. Smith, F. D., and C. H. West. "Architecture Validation and Implementation Testing," Proc. IEEE Conference on Large Scale Systems, 1982. Pozefsky, D. P. and F. D. Smith. "A Meta-Implementation for Systems Network Architecture," IEEE Transactions on Communications, COM-30(6) June, 1982, 1348-1355. Pozefsky, D. P. and F. D. Smith. "The SNA Meta-Implementation: Language and Applications," ICC '81 International Conference on Communications, June 1981, 1, 9.2.1-9.2.5. Smith, F. and J. Wilder. IBM 8100 Information System Principles of Operation, IBM Corporation publication GA23-0031, April 1979. Rose, D. and F. Smith. "Real-Time Event Tracing System," IBM Corporation Technical Disclosure Bulletin, 17(5), Oct. 1974. U.S. Patents F. Hernndez-Campos, K. Jeffay, F.D. Smith, A. Nobel, Methods, Systems, and Computer Program Products for Modeling and Simulating Application-Level Traffic Characteristics in a Network Based on Transport and Network Layer Header Information, US 74447209, November 4, 2008. V.P. Kompella, J.P. Gray, F.D. Smith, and K. Jeffay, User Controlled Adaptive Flow Control for Packet Networks, US5892754, April 6, 1999. Professional Service Program Chair , Tri Comm '91, IEEE Conference on Communications Software, 17-19 April 1991 Co-chair , Conference Committee for CSCW '94, ACM 1994 Conference on Computer-Supported Cooperative Work, 22-26 Oct. 1994 Public Service Member , Orange County, North Carolina Government Information Technology Committee, 1997-2003 Last updated April 12, 2011 To the faculty information page To the Computer Science Department home page diff --git a/src/data/compiled_bios/3502.txt b/src/data/compiled_bios/3502.txt new file mode 100644 index 0000000000..1957107ac8 --- /dev/null +++ b/src/data/compiled_bios/3502.txt @@ -0,0 +1 @@ + Jack Snoeyink Position: faculty, Computer Science Office: 333 Sitterson Hall Phone: 919-962-1969 Fax: 919-962-1799 Research Interests Discrete and Computational Geometry, and its application to Molecular Biology and Geographic Information Systems (GIS). Electronic versions of selected papers Java demos of some computational geometry algorithms Objects that cannot be taken apart with two hands Current project web pages Conference & travel calendars Go to Home page for Compgeom , UNC CS diff --git a/src/data/compiled_bios/3503.txt b/src/data/compiled_bios/3503.txt new file mode 100644 index 0000000000..6a8b00f66f --- /dev/null +++ b/src/data/compiled_bios/3503.txt @@ -0,0 +1 @@ + David Stotts Professor Dept. of Computer Science University of North Carolina Chapel Hill, NC 27599-3175 (tel) 919-590-6133, (fax) 919-590-6105, stotts@cs.unc.edu Courses (S'19) COMP 410 Data Structures (S'19) COMP 523 Software Engineering Lab Past Courses (F'18) COMP 410 Data Structures (S'18) COMP 410 Data Structures (S'18) COMP 523 Software Engineering Lab (F'17) COMP 410 Data Structures (S'17) COMP 410 Data Structures (S'17) COMP 523 Team Software Engineering Lab (F'16) COMP 410 Data Structures (S'16) COMP 410 Data Structures (S'16) COMP 523 Software Engineering Lab (F'15) COMP 410 Data Structures (F'15) COMP 110H Intro to Programming (JavaScript) (S'15) COMP 523 Software Engineering Lab (S'15) COMP 723 Software Design and Implementation (F'14) COMP 110 Introduction to Programming (JavaScript) (S'14) COMP 110 Introduction to Programming (JavaScript) (S'14) COMP 523 Software Engineering Lab (F'13) COMP 110 Introduction to Programming (S'13) COMP 523 Software Engineering Lab (S'13) COMP 723 Software Design and Implementation (F'12) COMP 410 Data Structures Professional Information Current CV Research summary Statement of teaching philosophy Papers Technical Reports Conference Information Libraries, Journals, Information Language resources Reviewing Research Projects Carolina Envorinmental Bioinformatics Research Center (CEBRC) Infrastructure for Systems Toxicology (in CEBRC) The Transparent Video Facetop SPQR: Elemental Design Patterns, Discovery, Composition OO Framework for Interoperable Environmental Models First-Class Hyperlinks in Realtime Video Formal Collaboration Protocols: First-class Interaction Semantics for Distributed Collaborative Systems CobWeb: Group Web Browsing with Dynamic Collaboration Protocols (PS paper) Danish: Semi-automated Java Class Testing based on Algebraic Semantics Daistish: Systematic OOPL testing with ADT axioms MUVEE: Warping 3-D Objects in Collaborative Virtual Environments for Converying Subtle Interaction Cues MMM: Multi-head/Multi-tail Mosaic ( Try a meeting protocol ... this will make good sense only with the MMM browser) Trellis hypermedia Software process modeling CAETI project: technology for education diff --git a/src/data/compiled_bios/3504.txt b/src/data/compiled_bios/3504.txt new file mode 100644 index 0000000000..764b52e956 --- /dev/null +++ b/src/data/compiled_bios/3504.txt @@ -0,0 +1 @@ + HOME PUBLICATIONS STUDENTS COURSES NEWS Cynthia Sturton Assistant Professor Peter Thacher Grauer Fellow Department of Computer Science University of North Carolina at Chapel Hill Chapel Hill, NC 27599-3175 Ph.D., University of California, Berkeley M.S., University of California, Berkeley Office: 354 Brooks Building Email: csturton@cs.unc.edu Tel: 919-590-6020 Hardware Security @ UNC I lead the Hardware Security @ UNC lab, a research group tackling the problem of how to validate the security of computer hardware. We are developing new specification mining techniques to automatically identify the properties of a hardware design that are critical to security, and we are building Coppelia , a tool for the symbolic execution of a hardware design that enables bug finding, exploit generation, assertion refinement, or patch verification. VeHICaL My team also participates in the multi-institution project VeHICaL: Verified Human Interfaces, Control, and Learning for Semi-Autonomous Systems . Our focus is on the security and privacy concerns surrounding cyber-physical systems that interact continuously with people. We have released the Drowsy Driving Dataset , which provides video of users in a simulated driving scenario alongside their reported drowsiness levels. diff --git a/src/data/compiled_bios/3505.txt b/src/data/compiled_bios/3505.txt new file mode 100644 index 0000000000..d9c1760201 --- /dev/null +++ b/src/data/compiled_bios/3505.txt @@ -0,0 +1 @@ + Martin Andreas Styner Martin Styner, PhD. Eng. ETH Associate Professor, Co-Director of : Neuro Image Research and Analysis Laboratories (NIRAL) Developmental Neuroimaging Laboratory, Carolina Institute for Developmental Disabilities University of North Carolina at Chapel Hill Chapel Hill, NC 27599-7160 USA Office Computer Sciences : NEW: 225 Sitterson Hall - 919 590 6209 Office Psychiatry Dept : NEW: 352 Medical School Wing C - 919 843 1092 Cell: 919 260 6674 - Fax CS: 919 962 1799 - Fax Psych: 919 966 7225 E-mail: styner@unc.edu ----------------------------------------- 08/13 - Optimized for Firefox and Safari ----------------------------------------- diff --git a/src/data/compiled_bios/3506.txt b/src/data/compiled_bios/3506.txt new file mode 100644 index 0000000000..51de96c562 --- /dev/null +++ b/src/data/compiled_bios/3506.txt @@ -0,0 +1 @@ + Mary C. Whitton Senior Project Manager Renaissance Computing Institute (RENCI) University of North Carolina at Chapel Hill 100 Europa Drive, Suite 540 Chapel Hill, NC 27517 (919) 445-9638 (Voice) (919) 445-9669 (Fax) Research Associate Professor Department of Computer Science 214 Brooks Hall, CB 3175 University of North Carolina at Chapel Hill Chapel Hill, NC 27599-3175 (919) 590-6150 (Voice) (919) 590-6105 (Fax) whitton at renci dot org whitton_at_cs dot unc dot edu Curriculum Vitae Cambodia March 28, 2011 Click image for full resolution version Receiving the ACM SIGGRAPH Outstanding Service Award July 2013 Computer Science Research Interests Effective Virtual Environments Research Team (with Fred Brooks) What makes virtual environments work? How do technical factors influence their effectiveness? Recent and current work improves and compares means of locomotion in VEs - Is walking-in-place better than using a joystick to move around in VEs? - Can we make movement more realisticwhen it is generated by interfaces where you don't really walk? - Is it possible to make redirected-walking work without constraints? Other recent work: understanding perception of scene motion as applies to latency and to redirected walking. How do we show VEs are worthwhile? Can we show training transfer?Can we show improved insight for immersive scientific visualization? Can we enable new types of interaction? Fall 2008. Jason Jerald performs psychophysics studies testing user's sensitivity to scene motion--motion that makes the virtual world appear unstable. Tools for Serious Games and VE Applications Control and display application system for VE enhanced physical therapy for gait rehabilitation. Collaboration with Physical Therapy with a force plate instrumented, dual-belted treadmill. The initial target population is patients with asymmetric gait due to stroke. Improving scenario/rehabilitation session generation tools for physical therapists How can we use logs from training simulators (and games) to evaluate trainee/player performance? - Can we diagnose the cause of a trainee/player's poor performance from the logs? - Can we use the measured performance to automatically drive the scenario/session generation tools? Winter 2009. Jeff Feasel walking on the dual-belt treadmill and viewing early prototype environment and display. Goal is hands-free user control of path and speed through the VE Still interested, but don't work in this anymore.... Computer graphics system architecture Programmable Graphics Processors--a previous time around the wheel of reincarnation Ikonas Graphics Systems (~1980) Application Accelerator: GPGPUs a previous time around the wheel of reincarnation Trancept Systems (~1988) Avocations: Garden and Vintage Sports Car Racing More on Restoration of my new-old Beach Sports Racer Other Car Photos September 21, 2007 at Apex Vintage, Inc. Almost ready to fire it up, but not quite. To the faculty information page To the Computer Science Department home page diff --git a/src/data/compiled_bios/3507.txt b/src/data/compiled_bios/3507.txt new file mode 100644 index 0000000000..bcb5b2a3f1 --- /dev/null +++ b/src/data/compiled_bios/3507.txt @@ -0,0 +1 @@ +Elad Alon: Contact Information 519 Cory Hall tel: 510-642-0237 elad@eecs.berkeley.edu : Research Areas Integrated Circuits (INC) Design, Modeling and Analysis (DMA) Communications & Networking (COMNET) Computer Architecture & Engineering (ARC) . Research Centers Berkeley Wireless Research Center (BWRC) Center for Neural Engineering & Prostheses (CNEP) . . Biography Elad Alon joined the University of California at Berkeley in Jan. 2007, where he is now a Professor of Electrical Engineering and Computer Sciences as well as a co-director of the Berkeley Wireless Research Center (BWRC). He has held founding, consulting, or visiting positions at Locix, Lion Semiconductor, Cadence, Xilinx, Sun Labs, Intel, AMD, Rambus, Hewlett Packard, and IBM Research, where he worked on digital, analog, and mixed-signal integrated circuits for computing, high-speed communications, and test and measurement. Dr. Alon received the IBM Faculty Award in 2008, the 2009 Hellman Family Faculty Fund Award, the 2010 and 2017 UC Berkeley Electrical Engineering Outstanding Teaching Award, the 2010 ISSCC Jack Raper Award for Outstanding Technology Directions Paper, the 2011 Symposium on VLSI Circuits Best Student Paper Award, the 2012 and 2013 Custom Integrated Circuits Conference Best Student Paper Award, the 2015 Custom Integrated Circuits Conference Best Invited Paper Award, and the IEEE Symposium on VLSI Circuits Most Frequently Cited Paper Award for 2010-2016. His research focuses on energy-efficient integrated systems, including the circuit, device, communications, and optimization techniques used to design them. . Education 2006, Ph.D., Electrical Engineering, Stanford University 2002, M.S., Electrical Engineering, Stanford University 2001, B.S., Electrical Engineering, Stanford University . Selected Publications D. Seo, R. Neely, K. Shen, S. U, E. Alon, J. M. Rabaey, J. M. Carmena, and M. Maharbiz, "Wireless recording in the peripheral nervous system with ultrasonic neural dust," Neuron , vol. 91, pp. 529-539, April 2016. Y. Duan and E. Alon, " A 12.8 GS/s Time-Interleaved ADC With 25 GHz Effective Resolution Bandwidth and 4.6 ENOB ," Journal of Solid State Circuits , vol. 49, no. 8, pp. 1725-1738, July 2014. Y. Duan and E. Alon, " A 12.8GS/s time-interleaved SAR ADC with 25GHz 3dB ERBW and 4.6b ENOB ," in Custom Integrated Circuits Conference , IEEE, 2013, pp. 1-4. M. Tabesh, J. Chen, C. Marcu, L. Kong, S. Kang, A. Niknejad, and E. Alon, " A 65 nm CMOS 4-Element Sub-34 mW/Element 60 GHz Phased-Array Transceiver ," IEEE Journal of Solid-State Circuits , vol. 46, no. 12, pp. 3018-3032, Dec. 2011. M. Tabesh, J. Chen, C. Marcu, L. Kong, S. Kang, E. Alon, and A. Niknejad, "A 65nm CMOS 4-Element Sub-34mW/Element 60GHz Phased-Array Transceiver," in International Solid-State Circuits Conference , 2011. H. Kam, T. King Liu, V. Stojanovic, D. Markovic, and E. Alon, " Design, Optimization, and Scaling of MEM Relays for Ultra-Low-Power Digital Logic ," Electron Devices, IEEE Transactions on , vol. 58, no. 1, pp. 236 -250, Jan. 2011. M. Spencer, F. Chen, C. Wang, R. Nathanael, H. Fariborzi, A. Gupta, H. Kam, V. Pott, J. Jeon, T. K. Liu, D. Markovic, E. Alon, and V. Stojanovic, " Demonstration of Integrated Micro-Electro-Mechanical Relay Circuits for VLSI Applications ," Solid-State Circuits, IEEE Journal of , vol. 46, no. 1, pp. 308 -320, Jan. 2011. J. Crossley, E. Naviasky, and E. Alon, " An energy-efficient ring-oscillator digital PLL ," in Custom Integrated Circuits Conference (CICC), 2010 IEEE , 2010, pp. 1 -4. D. Chowdhury, L. Ye, E. Alon, and A. Niknejad, " A 2.4GHz mixed-signal polar power amplifier with low-power integrated filtering in 65nm CMOS ," in Custom Integrated Circuits Conference (CICC), 2010 IEEE , 2010, pp. 1 -4. H. Le, M. Seeman, S. R. Sanders, V. Sathe, S. Naffziger, and E. Alon, " A 32nm Fully integrated Reconfigurable Switched-Capacitor DC-DC Converter Delivering 0.55W/mm^2 at 81% Efficiency ," in Solid-State Circuits Conference Digest of Technical Papers (ISSCC), 2010 IEEE International , 2010, pp. 210 -211. C. Marcu, D. Chowdhury, C. Thakkar, J. Park, L. Kong, M. Tabesh, Y. Wang, B. Afshar, A. Gupta, A. Arbabian, S. Gambini, R. Zamani, E. Alon, and A. Niknejad, " A 90nm CMOS Low-Power 60GHz Transceiver With Integrated Baseband Circuitry ," IEEE Journal of Solid-State Circuits , vol. 44, no. 12, pp. 3434-3447, Dec. 2009. H. Kam, V. Pott, R. Nathanael, J. Jeon, E. Alon, and T. King Liu, " Design and reliability of a micro-relay technology for zero-standby-power digital logic applications ," in Electron Devices Meeting (IEDM), 2009 IEEE International , 2009, pp. 1 -4. F. Chen, H. Kam, D. Markovic, T. King Liu, V. Stojanovic, and E. Alon, " Integrated Circuit Design with NEM Relays ," in IEEE/ACM International Conference on Computer-Aided Design , 2008. E. Alon and M. Horowitz, " Integrated Regulation for Energy-Efficient Digital Circuits ," IEEE J. Solid State Circuits , vol. 43, no. 8, pp. 1795-1807, Aug. 2008. E. Alon, V. Stojanovic, and M. A. Horowitz, " Circuits and Techniques for High-Resolution Measurement of On-Chip Power Supply Noise ," IEEE J. Solid-State Circuits , vol. 40, no. 4, pp. 820-828, April 2005. K. Chang, S. Pamarti, K. Kaviani, E. Alon, X. Shi, T. J. Chin, J. Shen, G. Yip, C. Madden, R. Schmitt, C. Yuan, F. Assaderaghi, and M. Horowitz, " Clocking and Circuit Design for a Parallel I/O on a First-Generation CELL Processor ," in 52nd IEEE Intl. Solid-State Circuits Conf. (ISSCC 2005) Digest of Technical Papers , L. C. Fujino, Ed., Vol. 48, Piscataway, NJ: IEEE Press, 2005, pp. 526-527, 615. . Awards, Memberships and Fellowships Institute of Electrical & Electronics Engineers (IEEE) Fellow , 2018 Electrical Engineering Award for Outstanding Teaching , 2017 Jack Raper Award for Outstanding Technology Directions Paper at ISSCC , 2010 Electrical Engineering Award for Outstanding Teaching , 2010 Hellman Fellow , 2009 IBM Faculty Award , 2008 . diff --git a/src/data/compiled_bios/3508.txt b/src/data/compiled_bios/3508.txt new file mode 100644 index 0000000000..5d43b5f95f --- /dev/null +++ b/src/data/compiled_bios/3508.txt @@ -0,0 +1 @@ +Venkat Anantharam: Contact Information 271 Cory Hall tel: 510-643-8435 ananth@eecs.berkeley.edu : Research Areas Communications & Networking (COMNET) Artificial Intelligence (AI) Control, Intelligent Systems, and Robotics (CIR) Security (SEC) Signal Processing (SP) . Research Centers Berkeley Laboratory for Information and System Sciences (BLISS) . Teaching Schedule Spring 2019 EE 229B. Error Control Coding , MoWe 2:30PM - 3:59PM, Cory 293 . Biography He received his B.Tech in Electrical Engineering from the Indian Institute of Technology, 1980, a M.S. in EE from UC Berkeley, 1982, a M.A. in Mathematics, UC Berkeley, 1983, a C.Phil in Mathematics, UC Berkeley, 1984 and a Ph.D. in EE, UC Berkeley, 1986. Prior to joining the faculty of EECS in 1994, he was a member of the faculty at Cornell University. . Education 1986, Ph.D., Electrical Engineering, University of California, Berkeley 1984, C.Phil, Mathematics, University of California, Berkeley 1983, M.A., Mathematics, University of California, Berkeley 1982, M.S., Electrical Engineering, University of California, Berkeley 1980, B.Tech, Electrical Engineering, Indian Institute of Technology . Selected Publications L. Dolecek and V. Anantharam, " Using Reed-Muller RM(1,m) codes over channels with synchronization and substitution errors ," IEEE Trans. Information Theory , vol. 53, no. 4, pp. 1430-1443, April 2007. A. D. Sarwate and V. Anantharam, " Exact emulation of a priority queue with a switch and delay lines ," Queueing Systems: Theory and Applications , vol. 53, no. 3, pp. 115-125, July 2006. A. B. Wagner and V. Anantharam, " An improved outer bound for the multiterminal source-coding problem ," in Proc. 2005 IEEE Intl. Symp. on Information Theory (ISIT '05) , Piscataway, NJ: IEEE Press, 2005, pp. 1406-1410. P. Pakzad and V. Anantharam, " Estimation and marginalization using the Kikuchi approximation methods ," Neural Computation , vol. 17, no. 8, pp. 1836-1873, Aug. 2005. V. Anantharam and T. Konstantopoulos, " Regulating functions on partially ordered sets ," Order , vol. 22, no. 2, pp. 145-183, May 2005. R. Gharavi and V. Anantharam, " An upper bound for the largest Lyapunov exponent of a Markovian product of nonnegative matrices ," Theoretical Computer Science , vol. 332, no. 1-3, pp. 543-557, Feb. 2005. A. B. Wagner and V. Anantharam, " Zero-rate reliability of the exponential-server timing channel ," IEEE Trans. Information Theory , vol. 51, no. 2, pp. 447-465, Feb. 2005. V. Anantharam, " On the Nash dynamics of congestion games with player-specific utility ," in Proc. 2004 43rd IEEE Conf. on Decision and Control (CDC '04) , Vol. 5, Piscataway, NJ: IEEE Press, 2004, pp. 4673-4678. P. Pakzad and V. Anantharam, " A new look at the generalized distributive law ," IEEE Trans. Information Theory , vol. 50, no. 6, pp. 1132-1155, June 2004. P. Anigstein and V. Anantharam, " Ensuring convergence of the MMSE iteration for interference avoidance to the global optimum ," IEEE Trans. Information Theory , vol. 49, no. 4, pp. 873-885, April 2003. P. Viswanath and V. Anantharam, " Optimal sequences for CDMA under colored noise: A Schur-saddle function property ," IEEE Trans. Information Theory , vol. 48, no. 6, pp. 1295-1318, June 2002. R. J. La and V. Anantharam, " Utility-based rate control in the Internet for elastic traffic ," IEEE/ACM Trans. Networking , vol. 10, no. 2, pp. 272-286, April 2002. E. Yeo, P. Pakzad, B. Nikolic, and V. Anantharam, " High throughput low-density parity-check decoder architectures ," in Proc. 2001 IEEE Global Telecommunications Conf. (GLOBECOM '01) , Vol. 5, Piscataway, NJ: IEEE Press, 2001, pp. 3019-3024. E. Yeo, P. Pakzad, B. Nikolic, and V. Anantharam, " VLSI architectures for iterative decoders in magnetic recording channels ," IEEE Trans. Magnetics , vol. 37, no. 2, pt. 1, pp. 748-755, March 2001. P. Viswanath, D. Tse, and V. Anantharam, " Asymptotically optimal water-filling in vector multiple-access channels ," IEEE Trans. Information Theory , vol. 47, no. 1, pp. 241-267, Jan. 2001. N. McKeown, A. Mekkittikul, V. Anantharam, and J. Walrand, " Achieving 100% throughput in an input-queued switch (Stephen O. Rice Prize Paper Award) ," IEEE Trans. on Communications , vol. 47, no. 8, pp. 1260-1267, Aug. 1999. S. Venkatesan and V. Anantharam, " The common randomness capacity of a network of discrete memoryless channels ," IEEE Trans. Information Theory , vol. 46, no. 2, pp. 215-224, Jan. 1998. V. Anantharam and S. Verdu, " 1998 Information Theory Society Paper Award: Bits through queues ," IEEE Trans. Information Theory , vol. 42, no. 1, pp. 4-18, Jan. 1996. R. Agrawal, D. Teneketzis, and V. Anantharam, " Asymptotically efficient adaptive allocation schemes for controlled Markov chains: Finite parameter space ," IEEE Trans. Automatic Control , vol. 34, no. 12, pp. 1249-1259, Dec. 1989. . Awards, Memberships and Fellowships Stephen O. Rice Prize , 2000 Institute of Electrical & Electronics Engineers (IEEE) Fellow , 1998 Information Theory Society Paper Award , 1998 NSF Presidential Young Investigator (PYI) , 1988 . diff --git a/src/data/compiled_bios/3509.txt b/src/data/compiled_bios/3509.txt new file mode 100644 index 0000000000..a58e7cd433 --- /dev/null +++ b/src/data/compiled_bios/3509.txt @@ -0,0 +1 @@ +Murat Arcak: Contact Information 569 Cory Hall tel: 642-4804 arcak@berkeley.edu : Research Areas Control, Intelligent Systems, and Robotics (CIR) Cyber-Physical Systems and Design Automation (CPSDA) Biosystems & Computational Biology (BIO) . Research Centers Partners for Advanced Transit and Highways (PATH) Center for Computational Biology (CCB) Synthetic Biology Institute (SBI) . . Biography Murat Arcak's research is in dynamical systems and control theory with applications to synthetic biology, multi-agent systems, and transportation. Prior to joining Berkeley in 2008, he was a faculty member at the Rensselaer Polytechnic Institute. He received a CAREER Award from the National Science Foundation in 2003, the Donald P. Eckman Award from the American Automatic Control Council in 2006, the Control and Systems Theory Prize from the Society for Industrial and Applied Mathematics (SIAM) in 2007, and the Antonio Ruberti Young Researcher Prize from the IEEE Control Systems Society in 2014. He is a member of SIAM and a fellow of IEEE. . Education 2000, Ph.D., Electrical Engineering, University of California, Santa Barbara 1997, M.S., Electrical Engineering, University of California, Santa Barbara 1996, B.S., Electrical Engineering, Bogazici University, Istanbul, Turkey . Selected Publications S. Coogan, M. Arcak, and C. Belta, " Formal Methods for Control of Traffic Flow: Automated Control Synthesis from Finite-State Transition Models ," IEEE Control Systems , vol. 37, no. 2, pp. 109-128, April 2017. M. Arcak, C. Meissen, and A. Packard, Networks of Dissipative Systems: Compositional Certification of Stability, Performance, and Safety , SpringerBriefs in Control, Automation and Robotics, Springer, 2016. A. S. Rufino Ferreira and M. Arcak, " A graph partitioning approach to predicting patterns in lateral inhibition systems ," SIAM Journal on Applied Dynamical Systems , vol. 12, no. 4, pp. 2012 - 2031, Dec. 2013. J. Hsia, W. J. Holtz, D. C. Huang, M. Arcak, and M. Maharbiz, " A feedback quenched oscillator produces Turing patterning with one diffuser ," PLoS Computational Biology , vol. 8, no. 1, pp. e1002331, Jan. 2012. M. Arcak, " Certifying spatially uniform behavior in reaction-diffusion PDE and compartmental ODE systems ," Automatica , vol. 47, no. 6, pp. 1219-1229, June 2011. M. Arcak, " Passivity as a design tool for group coordination ," IEEE Trans. Automatic Control , vol. 52, no. 8, pp. 1380-1390, Aug. 2007. M. Arcak and E. D. Sontag, " Diagonal stability of a class of cyclic systems and its connection with the secant criterion ," Automatica , vol. 42, no. 9, pp. 1531-1537, Sep. 2006. M. Arcak, H. Gorgun, L. M. Pedersen, and S. Varigonda, " A nonlinear observer design for fuel cell hydrogen estimation ," IEEE Trans. Control Systems Technology , vol. 12, no. 1, pp. 101-110, Jan. 2004. M. Arcak and P. Kokotovic, " Nonlinear observers: A circle criterion design and robustness analysis ," Automatica , vol. 37, no. 12, pp. 1923-1930, Dec. 2001. P. Kokotovic and M. Arcak, " Constructive nonlinear control: A historical perspective ," Automatica , vol. 37, no. 5, pp. 637-662, May 2001. . Awards, Memberships and Fellowships IEEE Transactions on Control of Network Systems Outstanding Paper Award , 2017 Electrical Engineering Award for Outstanding Teaching , 2014 Antonio Ruberti Young Researcher Prize , 2014 Institute of Electrical & Electronics Engineers (IEEE) Fellow , 2012 SIAM Activity Group Control and Systems Theory Prize , 2007 Donald P. Eckman Award , 2006 NSF Faculty Early Career Development Award (CAREER) , 2003 . diff --git a/src/data/compiled_bios/351.txt b/src/data/compiled_bios/351.txt new file mode 100644 index 0000000000..a26a28f181 --- /dev/null +++ b/src/data/compiled_bios/351.txt @@ -0,0 +1 @@ +Name: Haas, Zygmunt:: Position: Professor and Distinguished Chair in Computer Science:: Degrees: Ph.D., Stanford University, CA, Electrical Engineering,1988; Research Interests: Wireless and Mobile Systems and Networks; Information Assurance and Network Security; Design, Modeling, and Implementation of Cross-layer Protocols and Systems; Cyber-Physical Systems (CPS); Biologically-inspired Systems; Major Honors and Awards: IEEE Fellow; IEEE ComSoc WTC Recognition Award, 2012; Teaching Awards, College of Eng., Cornell University, 1997, 2000, 2003; IEEE Expert Lecturer (2002-04); Distinguished Lecturer (2005-07); IEEE ComSoc Distinguished Lecturer Tour, Australia, Sept./Oct. 2005; IEEE ComSoc Distinguished Lecturer Tour, Scandinavia, May/June 2009; Best Paper Awards: MiSeNet 2012, PIMRC, 2005, IEEE AINA, 2003; RepresentativePublications: M.N. Alam and Z.J. Haas, Coverage and Connectivity in Three-Dimensional Networks with Random Node Deployment, Elsevier Ad Hoc Networks, Special issue on Underwater Networks, 2014; N. Premnath and Z.J. Haas, A Practical, Secure, and Verifiable Cloud Computing for Mobile Systems, 11th International Conference on Mobile Systems and Pervasive Computing (MobiSPC-2014), in Procedia Computer Science, volume 34, pages 474483, DOI: 10.1016/j.procs.2014.07.033; Y.Hua and Z.J. Haas, Mobile-Projected Trajectory Algorithm with Velocity-Change Detection for Predicting Residual Link Lifetime in MANET, accepted for publication in the IEEE Transactions on Vehicular Technology, 2014.; J. Haas and M. Nikolov, Towards Optimal Broadcasting, CoRR abs/1301.7101 (2013); Z. Chawdhury, Y.M. Jang, and Z.J. Haas, Call Admission Control based on Adaptive Allocation for Wireless Networks, IEEE/KICS Journal of Communications and Networks (JCN). vol. 15, no. 1, pp. 15-24, Feb. 2013. (SCI); diff --git a/src/data/compiled_bios/3510.txt b/src/data/compiled_bios/3510.txt new file mode 100644 index 0000000000..0952b29ec2 --- /dev/null +++ b/src/data/compiled_bios/3510.txt @@ -0,0 +1 @@ +Ana Claudia Arias: Contact Information 508 Cory Hall tel: 510-642-1728 acarias@eecs.berkeley.edu : Research Areas Physical Electronics (PHY) Energy (ENE) Flexible and Printed Electronics . Research Centers Berkeley Wireless Research Center (BWRC) SWARM Lab Berkeley Emerging Technologies Research (BETR) . Teaching Schedule Spring 2019 EE 134. Fundamentals of Photovoltaic Devices , MoWe 10:00AM - 11:29AM, Cory 521 . Biography Prof. Arias received her PhD in Physics from the University of Cambridge, UK in 2001. Prior to that, she received her master and bachelor degrees in Physics from the Federal University of Paran in Curitiba, Brazil in 1997 and 1995 respectively. She joined the University of California, Berkeley in January of 2011. Prof. Arias was the Manager of the Printed Electronic Devices Area and a Member of Research Staff at PARC, a Xerox Company. She went to PARC, in 2003, from Plastic Logic in Cambridge, UK where she led the semiconductor group. Her research focuses on the use of electronic materials processed from solution in flexible electronic systems. She uses printing techniques to fabricate flexible large area electronic devices and sensors. . Education 2001, Ph.D., Physics, University of Cambridge, UK 1997, M.S., Physics, Federal University of Paran in Curitiba, Brazil 1995, B.S., Physics, Federal University of Paran in Curitiba, Brazil . Selected Publications C. Lochner, Y. Khan, A. Pierre, and A. C. Arias, "All-organic optoelectronic sensor for pulse oximetry," Nature Communications , vol. 5, no. 5745, Dec. 2014. A. Gaikwad, B. Khau, G. Davies, B. Hertzberg, D. Steingart, and A. C. Arias, "A High Areal Capacity Flexible LithiumIon Battery with a StrainCompliant Design," Advanced Energy Materials , Sep. 2014. A. Pierre, M. Sadeghi, M. Payne, A. Facchetti, J. Anthony, and A. C. Arias, "AllPrinted Flexible Organic Transistors Enabled by Surface TensionGuided Blade Coating," Advanced Materials , vol. 26, no. 32, pp. 5722-5727, Aug. 2014. A. Pierre, S. Lu, I. Howard, A. Facchetti, and A. C. Arias, "Empirically based device modeling of bulk heterojunction organic photovoltaics," Journal of Applied Physics , vol. 113, no. 15, pp. 154506, April 2013. L. L. Lavery, G. L. Whiting, and A. C. Arias, "All ink-jet printed polyfluorene photosensor for high illuminance detection," Organic Electronics , vol. 12, pp. 682-685, Feb. 2011. A. C. Arias, J. D. MacKenzie, I. McCulloch, J. Rivnay, and A. Salleo, "Materials and Applications for Large Area Electronics: Solution-Based Approaches," Chem. Rev , vol. 110, pp. 3-24, Jan. 2010. G. L. Whiting and A. C. Arias, "Chemically modified ink-jet printed silver electrodes for organic field-effect transistors," Applied Physics Letters , vol. 95, pp. 253302, Dec. 2009. T. Ng, B. Russo, and A. C. Arias, "Degradation mechanisms of organic ferroelectric field-effect transistors used as nonvolatile memory," Journal of Applied Physics , vol. 106, pp. 094505, Nov. 2009. S. Sambandan, R. Kist, R. Lujan, T. Ng, A. C. Arias, and R. Street, "Compact model for forward subthreshold characteristics in polymer semiconductor transistors," Journal of Applied Physics , vol. 106, pp. 084501, Oct. 2009. T. Ng, S. Sambandan, R. Lujan, A. C. Arias, C. Newman, H. Yan, and A. Facchetti, "Electrical stability of inkjet-patterned organic complementary inverters measured in ambient conditions," Applied Physics Letters , vol. 94, pp. 233307, June 2009. V. Sholin, R. Street, S. Carter, and A. C. Arias, "High work function materials for source/drain contacts in printed polymer thin film transistors," Applied Physics Letters , vol. 92, pp. 063307, Feb. 2008. T. Ng, J. Daniel, S. Sambandan, A. C. Arias, M. Chabinyc, and R. Street, "Gate bias stress effects due to polymer gate dielectrics in organic thin-film transistors," Journal of Applied Physics , vol. 103, pp. 044506, Feb. 2008. A. C. Arias, S. Ready, R. Lujan, W. S. Wong, K. Paul, A. Salleo, M. Chabinyc, R. Apte, R. Street, Y. Wu, P. Liu, and B. Ong, "All jet-printed polymer thin-film transistor active-matrix backplanes," Applied Physics Letters , vol. 85, pp. 3304, Aug. 2004. C. Ramsdale, J. Barker, A. C. Arias, J. MacKenzie, R. Friend, and N. Greenham, "The origin of the open-circuit voltage in polyfluorene-based photovoltaic devices," Journal of Applied Physics , vol. 92, pp. 4266, July 2002. . Awards, Memberships and Fellowships NAE Gilbreth Lectureship , 2017 FLEXI R&D Achievements Award , 2017 Bakar Fellow , 2014 . diff --git a/src/data/compiled_bios/3511.txt b/src/data/compiled_bios/3511.txt new file mode 100644 index 0000000000..708a2d109f --- /dev/null +++ b/src/data/compiled_bios/3511.txt @@ -0,0 +1 @@ +David Attwood: Contact Information attwood@berkeley.edu : Research Areas Applied Physics, particularly involving x-ray optics, the generation of coherent radiation at EUV and x-ray wavelengths, and applications to nanoscale imaging. . Research Centers SLAC National Accelerator Laboratory (SLAC) . . Biography David Attwood received his Ph.D. in Applied Physics from New York University in 1972. He has been a Professor in Residence at UC Berkeley since 1989. He was co-founder of the Applied Science and Technology Ph.D. program. He has been faculty advisor for the undergraduate Engineering Physics program for 25 years. His research interests center on the use of short wavelength electromagnetic radiation, x-rays and extreme ultraviolet radiation in the 0.1-30 nm range. Topics of particular interest include coherance at x-ray wavelengths, element specific nanoscale imaging, and EUV lithography. He and his students are active in the use of novel Fourier optics, image contrast techniques, and the development and use of coherent sources at these short wavelengths. At the contiguous Lawrence Berkeley National Laboratory, he was founding Director of the Center for X-Ray Optics (CXRO), and was first (1985-1988) Scientific Director of the Advanced Light Source (ALS). He is a Fellow Member of the American Physical Society and the Optical Society of America, and is an International Fellow of the Japanese Society of Applied Physics (2016). He is author of X-Rays and Extreme Ultraviolet Radiation: Principles and Applications, (Cambridge University Press, 2017). His lectures have been broadcast live over the Internet and electronically archived. His most recent courses are X-rays and Extreme Ultraviolet Radiation Fall 2016, 2017, 2019. Text and class material at www.cambridge.org/xrayeuv . Class slides can be found here . . Education 1972, Ph.D., Applied Physics, New York University . Selected Publications D. Attwood and A. Sakdinawat, X-Rays and Extreme Ultraviolet Radiation: Principles and Applications , Cambridge, UK: Cambridge University Press, 2017. I. A. Vartanyants, A. Singer, A. P. Mancuso, O. M. Yefanov, A. Sakdinawat, Y. Liu, E. Bang, G. J. Williams, G. Cadenazzi, B. Abbey, H. Sinn, D. T. Attwood, K. A. Nugent, E. Weckert, T. Wang, D. Zhu, B. Wu, C. Graves, A. Scherz, J. J. Turner, W. F. Schlotter, M. Messerschmidt, J. Luning, Y. Acremann, P. Heimann, D. C. Mancini, V. Joshi, J. Krzywinski, R. Soufli, M. Fernandez-Perea, S. Hau-Riege, A. G. Peele, Y. Feng, O. Krupin, S. Moeller, and W. Wurth, " Coherence Properties of Individual Femtosecond Pulses of an X-Ray Free-Electron Laser ," Phys. Rev. Lett. , vol. 107, no. 144801, Sep. 2011. A. Sakdinawat and D. T. Attwood, " Invited Paper: Nanoscale X-ray Imaging ," Nature Photonics , vol. 4, no. 12, pp. 840848, Dec. 2010. D. T. Attwood, " Nanotomography comes of age ," Nature , vol. 442, pp. 642-643, Aug. 2006. C. Chang, A. Sakdinawat, P. Fischer, E. Anderson, and D. T. Attwood, " Single-element objective lens for soft x-ray differential interference contrast microscopy ," Optics Letters , vol. 31, no. 10, pp. 1564-, May 2006. W. Chao, B. D. Harteneck, J. A. Liddle, E. H. Anderson, and D. T. Attwood, " Soft X-ray microscopy at a spatial resolution better than 15 nm ," Nature , vol. 435, pp. 1210-1213, June 2005. K. M. Rosfjord, Y. Liu, and D. T. Attwood, " Tunable coherent soft X-rays ," IEEE J. Selected Topics in Quantum Electronics , vol. 10, no. 6, pp. 1405-1413, Nov. 2004. R. A. Bartels, A. Paul, H. Green, H. C. Kapteyn, M. M. Murnane, S. Backus, I. P. Christov, Y. Liu, D. T. Attwood, and C. Jacobsen, " Generation of spatially coherent light at extreme ultraviolet wavelengths ," Science , vol. 297, no. 5580, pp. 376-378, July 2002. Y. Liu, M. Seminario, F. G. Tomasel, C. Chang, J. J. Rocca, and D. T. Attwood, " Achievement of essentially full spatial coherence in a high-average-power soft-x-ray laser ," Physical Review A , vol. 63, no. 3, pp. 033802-1-5, March 2001. D. T. Attwood, P. Naulleau, K. A. Goldberg, E. Tejnil, C. Chang, R. Beguiristain, P. Batson, J. Bokor, E. M. Gullikson, M. Koike, H. Medecki, and J. H. Underwood, " Invited Paper: Tunable coherent radiation in the soft X-ray and extreme ultraviolet spectral regions ," IEEE J. Quantum Electronics , vol. 35, no. 5, pp. 709-720, May 1999. D. T. Attwood, E. H. Anderson, P. J. Batson, H. R. Beguiristain, J. Bokor, K. A. Goldberg, E. M. Gullikson, K. H. Jackson, K. Nguyen, M. Koike, H. Medecki, S. Mrowka, R. E. Tackaberry, E. Tejnil, and J. H. Underwood, "At-wavelength metrologies for extreme ultraviolet lithography (in Japanese)," J. Future Electron Devices , vol. 9, no. 1, pp. 5-14, Nov. 1998. F. Zernike and D. T. Attwood, Eds., OSA Proceedings on Extreme Ultraviolet Lithography: Proceedings of the Topical Meeting , OSA Proceedings, Vol. 23, Washington, D.C.: Optical Society of America, 1995. D. T. Attwood, "New opportunities at soft-x-ray wavelengths," Physics Today , vol. 45, no. 8, pt. 1, pp. 24-31, Aug. 1992. D. T. Attwood and J. Bokor, Eds., Short Wavelength Coherent Radiation: Generation and Applications , American Institute of Physics Conference Proceedings; Optical Science and Engineering Series (No. 7), New York, NY: AIP Press, 1986. D. T. Attwood, K. Halbach, and K. Kim, " Tunable coherent X-rays ," Science , vol. 228, no. 4705, pp. 1265-1272, June 1985. J. Underwood and D. T. Attwood, "The renaissance of x-ray optics," Physics Today , vol. 37, no. 4, pp. 44-61, April 1984. D. T. Attwood and B. L. Henke, Eds., Low Energy X-ray Diagnostics , American Institute of Physics Conference Proceedings, New York, NY: AIP Press, 1981. . Awards, Memberships and Fellowships Japanese Society of Applied Physics (JSAP) Fellow , 2016 American Physical Society (APS) Fellow , 2006 Optical Society of America (OSA) Fellow , 1994 . diff --git a/src/data/compiled_bios/3512.txt b/src/data/compiled_bios/3512.txt new file mode 100644 index 0000000000..4c4c36f6cb --- /dev/null +++ b/src/data/compiled_bios/3512.txt @@ -0,0 +1 @@ +Babak Ayazifar: Contact Information 517 Cory Hall tel: 510-642-9945 ayazifar@berkeley.edu : Research Areas Education (EDUC) , Signal processing and system theory EDUCATION: Development of pedagogical techniques and assessment tools. Signal Processing (SP) , Graph signal processing NOTE: BABAK AYAZIFAR CAN NEITHER CONSIDER NOR REPLY TO INTERNSHIP OR SUMMER RESEARCH REQUESTS FROM APPLICANTS OUTSIDE UC BERKELEY. . . Teaching Schedule Spring 2019 CS 70. Discrete Mathematics and Probability Theory , TuTh 12:30PM - 1:59PM, Wheeler 150 EE 120. Signals and Systems , TuTh 6:00PM - 7:59PM, LeConte 3 . Biography Babak Ayazifar joined the EECS faculty at UC Berkeley in 2005, where he is now a Teaching Professor. He earned his BS in EE from Caltech, and his SM and PhD in EECS from MIT. His dissertation, Graph Spectra and Modal Dynamics of Oscillatory Networks , uses spectral graph theory to explore how a network's topology influences its dynamics. At MIT, Babak received the Harold L. Hazen Award for outstanding teaching (1995). He advanced to the rank of Instructor-G , which conferred teaching assignments ordinarily reserved for faculty (1996). He won the Goodwin Medal MIT's most prestigious award for a graduate student who "has performed above and beyond the norm, and whose teaching efforts can truly be characterized as `conspicuously effective'" (1999). In spring 2002, he was appointed as a Senior Lecturer in MITs School of Engineering, teaching a graduate course in Digital Signal Processing. Prior to his arrival at Berkeley, Babak was a Technical Specialist in the Intellectual Property and Technology Group of Ropes & Gray, LLP in Boston. His patent prosecution and related activities spanned a range of technologies, such as mechanical devices, intravascular MRI, DNA Microarray data analysis, and encrypted communication using chaotic systems. Babak is a patent agent, registered to practice before the US Patent and Trademark Office (Reg. No. 56793). Babak is co-inventor on the patent Method and apparatus for providing scalable compressed video signal : U.S. Patent no. 5,387,940 . This stemmed from his work as an Associate Member of the Technical Staff in the Communications Research Laboratory at David Sarnoff Research Center in Princeton. At Berkeley Babak has focused on teaching, student learning, curriculum development and reform, mentoring TAs, and sharing his pedagogical innovations and insight at conferences, workshops, and other forums. In 2008 Babak received the UC Berkeley Electrical Engineering Division's Outstanding Teaching Award . And he received the 2012 IEEE Education Societys Mac Van Valkenburg Early Career Teaching Award . His citation reads "For creative, lively, challenging, and caring teaching that has sparked broad excitement and engagement among his students, even in the largest core courses." From Jan 2013 to Jul 2014 Babak spent an extended sabbatical as a Visiting Senior Lecturer at MIT-EECS, where he was the instructor for 6.041/6.431: Probabilistic Systems Analysis and a recitation instructor for 6.02: Digital Communication Systems . Babak is a member of Tau Beta Pi , the National Engineering Honor Society , and Eta Kappa Nu, the EE Honor Society . He has been a faculty co-advisor for Tau Beta Pi since 2009. Babak's Teaching Evaluations at UC Berkeley He insists that you Just Call Him Babak! . Education 2003, Ph.D., Electrical Engineering and Computer Science, Massachusetts Institute of Technology 1989, B.S., Electrical Engineering, Caltech . Selected Publications V. N. Ekambaram, G. C. Fanti, B. Ayazifar, and K. Ramchandran, " Spline-Like Wavelet Filterbanks for Multiresolution Analysis of Graph-Structured Data ," Signal and Information Processing Over Networks, IEEE Transactions on , vol. 1, no. 4, pp. 268-278, Dec. 2015. V. N. Ekambaram, G. C. Fanti, B. Ayazifar, and K. Ramchandran, " Critically-sampled perfect-reconstruction spline-wavelet filterbanks for graph signals ," in Global Conference on Signal and Information Processing (GlobalSIP), 2013 IEEE , 2013, pp. 475-478. V. N. Ekambaram, G. C. Fanti, B. Ayazifar, and K. Ramchandran, " Wavelet-regularized graph semi-supervised learning ," in Global Conference on Signal and Information Processing (GlobalSIP), 2013 IEEE , 2013, pp. 423-426. V. N. Ekambaram, G. C. Fanti, B. Ayazifar, and K. Ramchandran, " Circulant structures and graph signal processing ," in Image Processing (ICIP), 2013 20th IEEE International Conference on , 2013, pp. 834-838. V. N. Ekambaram, G. C. Fanti, B. Ayazifar, and K. Ramchandran, " Multiresolution Graph Signal Processing via Circulant Structures ," in Digital Signal Processing and Signal Processing Education Meeting (DSP/SPE), 2013 IEEE , 2013, pp. 112-117. B. Ayazifar, " The Elegant Geometry of Fourier Analysis ," in Circuits and Systems (ISCAS), Proceedings of 2012 IEEE International Symposium on , 2012, pp. 2933-2936. B. Ayazifar, " Rethinking Fouriers Legacy in Signals and Systems Education ," in Circuits and Systems (ISCAS), Proceedings of 2011 IEEE International Symposium on , 2011, pp. 599-602. H. Liu, J. Kotker, and B. Ayazifar, " A first lab in filter design: Power line hum suppression in an ECG signal ," in Circuits and Systems (ISCAS), Proceedings of 2010 IEEE International Symposium on , 2010, pp. 2812 -2815. B. Ayazifar, " Can we make signals and systems intelligible, interesting, and relevant? ," Circuits and Systems Magazine, IEEE , vol. 9, no. 1, pp. 48-58, March 2009. B. Ayazifar, " Graph Spectra and Modal Dynamics of Oscillatory Networks ," MIT, Sep. 2002. . Awards, Memberships and Fellowships Mac Van Valkenburg Early Career Teaching Award , 2012 Electrical Engineering Award for Outstanding Teaching , 2008 . diff --git a/src/data/compiled_bios/3513.txt b/src/data/compiled_bios/3513.txt new file mode 100644 index 0000000000..31128289f0 --- /dev/null +++ b/src/data/compiled_bios/3513.txt @@ -0,0 +1 @@ +Ruzena Bajcsy: Contact Information 719 Sutardja Dai Hall tel: 510-642-9423 bajcsy@eecs.berkeley.edu : Research Areas Artificial Intelligence (AI) Biosystems & Computational Biology (BIO) Control, Intelligent Systems, and Robotics (CIR) Graphics (GR) Human-Computer Interaction (HCI) , Computer vision; Bridging information technology to humanities and social sciences Security (SEC) . Research Centers Tele-Immersion Berkeley Center for New Media (BCNM) Center for Information Technology Research in the Interest of Society - The Banatao Institute (CITRIS) Center for Augmented Cognition (CAC) VeHICaL: Verified Human Interfaces, Control, and Learning for Semi-Autonomous Systems (VeHICaL) Berkeley Artificial Intelligence Research Lab (BAIR) Center for Neural Engineering & Prostheses (CNEP) CITRIS People and Robots (CPAR) Berkeley Deep Drive (BDD) . Teaching Schedule Spring 2019 EECS C106B. Robotic Manipulation and Interaction , TuTh 11:00AM - 12:29PM, Cory 521 EECS 206B. Robotic Manipulation and Interaction , TuTh 11:00AM - 12:29PM, Cory 521 . Biography Ruzena Bajcsy is the NEC Distinguished Professor of Electrical Engineering and Computer Sciences at the University of California, Berkeley. She was the founding director of the Center for Information Technology Research in the Interest of Science (CITRIS) in 2001, a multicampus organization comprising 4 campuses: UC Berkeley, UC Davis, UC Santa Cruz, and UC Merced. As part of her activities in CITRIS, and together with the University of California Center for the Humanities, she played a founding role in establishing a program of Digital Humanities. Before joining UC Berkeley, she headed the Computer and Information Science and Engineering Directorate at the National Science Foundation (19992001). From 1972 to 2001 she was a professor in the Computer and Information Science Department at the University of Pennsylvania, where she established in 1978 the General Robotics, Automation, Sensing, and Perception (GRASP) Lab. As director of the GRASP lab she fostered interdisciplinary research activities and attracted faculty from electrical and mechanical engineering as well as psychology/cognitive science and of course computer science. Throughout her 28 years at UPenn she worked on robotics research, including computer vision, tactile perception, and in general the problem of system identification. She also worked on medical imaging, and developed with her students a digital anatomy atlas coupled with elastic matching algorithms that made it possible to automatically identify anatomic structures of the brain, first in X-ray tomography, later with MRI and positron image tomography. Use of this technology is now standard in medical practice. Dr. Bajcsy is a member of the National Academy of Engineering (1997) and National Academy of Medicine (1995) as well as a fellow of the Association for Computing Machinery (ACM) and the American Association for Artificial Intelligence (AAAI). In 2001 she received the ACM/AAAI Allen Newell Award, and in November 2002 she was named one of the 50 most important women in Discover Magazine. She is the recipient of the Benjamin Franklin Medal for Computer and Cognitive Sciences (2009) and the IEEE Robotics and Automation Award (2013) for her contributions in the field of robotics and automation. Her current research is in the use of robotic technology, namely measuring and extracting noninvasively kinematic and dynamic parameters of individual in order to assess their physical movement capabilities or limitations. If there are limitations, her students have designed assistive devices that can compensate for the lack of kinematic agility and /or physical strength. [Information from the National Academy of Engineering] . Education 1972, Ph.D., Computer Science, Stanford University 1968, Ph.D., Electrical Engineering, Slovak Technical University, Bratislava, Slovak Republic 1957, M.S., Electrical Engineering, Slovak Technical University, Bratislava, Slovak Republic . Selected Publications D. Aranki, G. Peh, G. Kurillo, and R. Bajcsy, " The Feasibility and Usability of RunningCoach: A Remote Coaching System for Long-Distance Runners ," Sensors , vol. 18, no. 2, pp. 175, Jan. 2018. D. Aranki, G. Kurillo, and R. Bajcsy, " Smartphone Based Real-Time Health Monitoring and Intervention ," in Handbook of Large-Scale Distributed Computing in Smart Healthcare , S. U. Khan, A. Y. Zomaya, and A. Abbas, Eds., Cham: Springer International Publishing, 2017, pp. 473--514. D. Aranki, G. Kurillo, P. Yan, D. M. Liebovitz, and R. Bajcsy, "Real-Time Tele-Monitoring of Patients with Chronic Heart-Failure Using a Smartphone: Lessons Learned," IEEE Transactions on Affective Computing , vol. 7, no. 3, pp. 206-219, July 2016. A. D. Ames, R. Vasudevan, and R. Bajcsy, " Human-data based cost of bipedal robotic walking ," in Proceedings of the 14th international conference on Hybrid systems: computation and control , HSCC '11, New York, NY, USA: ACM, 2011, pp. 153--162. R. Vasudevan, G. Kurillo, E. Lobaton, T. Bernardin, O. Kreylos, R. Bajcsy, and K. Nahrstedt, " High-Quality Visualization for Geographically Distributed 3-D Teleimmersive Applications ," Multimedia, IEEE Transactions on , vol. 13, no. 3, pp. 573 -584, June 2011. Z. Yang, W. Wu, K. Nahrstedt, G. Kurillo, and R. Bajcsy, " Enabling multiparty 3D tele-immersive environments with ViewCast ," ACM Transactions on Multimedia Computing Communications and Applications , vol. 6, pp. 29:1--29:28, Nov. 2010. E. Lobaton, R. Vasudevan, R. Bajcsy, and S. S. Sastry, " A distributed topological camera network representation for tracking applications ," Trans. Img. Proc. , vol. 19, pp. 2516--2529, Oct. 2010. I. Tien, S. D. Glaser, R. Bajcsy, D. S. Goodin, and M. J. Aminoff, " Results of using a wireless inertial measuring system to quantify gait motions in control subjects ," Trans. Info. Tech. Biomed. , vol. 14, pp. 904--915, July 2010. R. Vasudevan, Z. Zhou, G. Kurillo, E. Lobaton, R. Bajcsy, and K. Nahrstedt, "Real-time stereo-vision system for 3D teleimmersive collaboration," in Multimedia and Expo (ICME), 2010 IEEE International Conference on , 2010, pp. 1208 -1213. G. Kurillo, M. Forte, and R. Bajcsy, "Teleimmersive 3D collaborative environment for cyberarchaeology," in IEEE/CVPR workshop, Applications of Computer Vision in Archaeology (ACVA 2010) , 2010. A. Y. Yang, M. Gastpar, R. Bajcsy, and S. S. Sastry, " Distributed Sensor Perception via Sparse Representation ," Proceedings of the IEEE , vol. 98, no. 6, pp. 1077-1088, June 2010. E. Guenterberg, A. Y. Yang, H. Ghasemzadeh, R. Jafari, R. Bajcsy, and S. S. Sastry, " A method for extracting temporal parameters based on hidden Markov models in body sensor networks with inertial sensors ," Trans. Info. Tech. Biomed. , vol. 13, pp. 1019--1030, Nov. 2009. G. Kurillo, Z. Li, and R. Bajcsy, " Wide-area external multi-camera calibration using vision graphs and virtual calibration object ," in Proc. 2nd ACM/IEEE lntl. Conf. on Distributed Smart Cameras (ICDSC 2008) , Piscataway, NJ: IEEE Press, 2008, pp. 9 pg. S. Ganesh and R. Bajcsy, " Recognition of human actions using an optimal control based motor model ," in Proc. 2008 IEEE Workshop on Applications of Computer Vision (WACV '08) , Piscataway, NJ: IEEE Press, 2008, pp. 6 pg. R. Diankov and R. Bajcsy, " Real-time adaptive point splatting for noisy point clouds ," in Proc. 2nd Intl. Conf. on Computer Graphics Theory and Applications (GRAPP 2007) , J. Braz, P. Vazquez, and J. M. Pereira, Eds., Setubal, Portugal: Institute for Systems and Technologies of Information, Control and Communication, 2007, pp. 228-234. S. Lin and R. Bajcsy, " Single-viewpoint, catadioptric cone mirror omnidirectional imaging theory and analysis ," J. Optical Society of America A , vol. 23, no. 12, pp. 2997-3015, Dec. 2006. V. Isler and R. Bajcsy, " The sensor selection problem for bounded uncertainty sensing models ," IEEE Trans. Automation Science and Engineering , vol. 3, no. 4, pp. 372-381, Oct. 2006. R. Bajcsy, S. Yung, O. Elenzil, B. Wilson, R. McGeer, K. Nahrstedts, and C. Strothotte, " New collaborative tools ," in Proc. 4th Intl. Conf. on Creating, Connecting and Collaborating through Computing (C5 '06) , Los Alamitos, CA: IEEE Computer Society, 2006, pp. 120-125. J. Chen, K. Kwong, D. Chang, J. Luk, and R. Bajcsy, " Wearable sensors for reliable fall detection ," in Proc. 27th Annual Intl. Conf. of the Engineering in Medicine and Biology Society (IEEE-EMBS 2005) , Piscataway, NJ: IEEE Press, 2005, pp. 3551-3554. R. Bajcsy and R. McGeer, " CITRIS and data and knowledge engineering: What is old and what is new? (A DKE "Top 25 Hottest Articles" selection) ," Special Jubilee Issue: Data & Knowledge Engineering , vol. 50, no. 3, pp. 261-276, Sep. 2004. . Awards, Memberships and Fellowships John Scott Award , 2017 Signatures Innovation Fellow , 2016 Simon Ramo Founders Award , 2016 MIT Tech Review Top 7 Innovators Over 70 (TR7) , 2016 IEEE Robotics & Automation Award , 2013 RAS Pioneer Award , 2010 ABIE Award for Technical Leadership , 2009 Benjamin Franklin Medal in Computer and Cognitive Science , 2009 American Academy of Arts and Sciences Member , 2007 ACM Distinguished Service Award , 2003 CRA Distinguished Service Award , 2003 The 50 Most Important Women in Science , 2002 ACM-AAI Allen Newell Award , 2001 National Academy of Engineering (NAE) Member , 1997 Association for Computing Machinery (ACM) Fellow , 1996 National Academy of Medicine (NAM) Member , 1995 Institute of Electrical & Electronics Engineers (IEEE) Fellow , 1992 Association for the Advancement of Artificial Intelligence (AAAI) Fellow , 1990 . diff --git a/src/data/compiled_bios/3514.txt b/src/data/compiled_bios/3514.txt new file mode 100644 index 0000000000..e23e1aa47c --- /dev/null +++ b/src/data/compiled_bios/3514.txt @@ -0,0 +1 @@ +Alexandre Bayen: Contact Information 642 Sutardja Dai Hall tel: (510) 642-2468 bayen@berkeley.edu : Research Areas Control, Intelligent Systems, and Robotics (CIR) Artificial Intelligence (AI) Cyber-Physical Systems and Design Automation (CPSDA) . Research Centers Partners for Advanced Transit and Highways (PATH) CITRIS People and Robots (CPAR) Foundations Of Resilient CybEr-physical Systems (FORCES) Berkeley Artificial Intelligence Research Lab (BAIR) Berkeley Deep Drive (BDD) . Teaching Schedule Spring 2019 EECS 127. Optimization Models in Engineering , TuTh 11:00AM - 12:29PM, Li Ka Shing 245 EECS 227AT. Optimization Models in Engineering , TuTh 11:00AM - 12:29PM, Li Ka Shing 245 . Biography Alexandre Bayen received the Engineering Degree in applied mathematics from the Ecole Polytechnique, France, in July 1998, the M.S. degree in aeronautics and astronautics from Stanford University in June 1999, and the Ph.D. in aeronautics and astronautics from Stanford University in December 2003. He was a Visiting Researcher at NASA Ames Research Center from 2000 to 2003. Between January 2004 and December 2004, he worked as the Research Director of the Autonomous Navigation Laboratory at the Laboratoire de Recherches Balistiques et Aerodynamiques, (Ministere de la Defense, Vernon, France), where he holds the rank of Major. He has been an Assistant Professor at UC Berkeley since January 2005, and an Associate Professor since 2010. Bayen has authored one book and over 100 articles in peer reviewed journals and conferences. He is the recipient of the Ballhaus Award from Stanford University, 2004, of the CAREER award from the National Science Foundation, 2009 and he is a NASA Top 10 Innovators on Water Sustainability, 2010. His projects Mobile Century and Mobile Millennium received the 2008 Best of ITS Award for Best Innovative Practice, at the ITS World Congress and a TRANNY Award from the California Transportation Foundation, 2009. Bayen is the recipient of the Presidential Early Career Award for Scientists and Engineers (PECASE) award from the White House, 2010. Mobile Millennium has been featured more than 100 times in the media, including TV channels and radio stations (CBS, NBC, ABC, CNET, NPR, KGO, the BBC), and in the popular press (Wall Street Journal, Washington Post, LA Times). . Education 2003, Ph.D., Aeronautics and Astronautics, Stanford University 1999, M.S., Aeronautics and Astronautics, Stanford University 1998, Engineering, Applied Mathematics, Ecole Polytechnique, France . Selected Publications M. S.Vincentelli, A. Sundt, H. Signargout, E. Porter, V. Fighiera, J. Ugirumurera, A. Bayen, and T. Cabannes, " The impact of GPS-enabled shortest path routing on mobility: a game theoretic approach. ," in Transportation Research Board 2018 Annual Meeting , 2018. . Awards, Memberships and Fellowships TCCPS Mid-Career Award , 2018 Signatures Innovation Fellow , 2017 Electrical Engineering Award for Outstanding Teaching , 2015 Walter L. Huber Civil Engineering Research Prize , 2014 Okawa Research Grant , 2013 Antonio Ruberti Young Researcher Prize , 2013 NSF Presidential Early Career Award for Scientists & Engineers (PECASE) , 2009 . diff --git a/src/data/compiled_bios/3515.txt b/src/data/compiled_bios/3515.txt new file mode 100644 index 0000000000..97118931a1 --- /dev/null +++ b/src/data/compiled_bios/3515.txt @@ -0,0 +1 @@ +Jeffrey Bokor: Contact Information 225 Cory Hall tel: 510-642-4134 jbokor@berkeley.edu : Research Areas Physical Electronics (PHY) Nanotechnology . Research Centers Center for Energy Efficient Electronics Science (E3S) Berkeley Emerging Technologies Research (BETR) . Teaching Schedule Spring 2019 EE 290B. Introduction to Multiferroic Materials and Systems . Biography Jeffrey Bokor is the Paul R. Gray Distinguished Professor of Engineering in the department of Electrical Engineering and Computer Sciences (EECS) at UC Berkeley, with a joint appointment as Senior Scientist in the Materials Science Division at Lawrence Berkeley National Laboratory. He serves as Chair of the Electrical Engineering Division in the EECS Department. From 2012-2017, he served as Associate Dean for Research in the UC Berkeley College of Engineering. From 2004 until 2012, Prof. Bokor held a joint appointment as Deputy Director for Science at the Molecular Foundry, a nanoscale science research center at Lawrence Berkeley National Laboratories (LBNL). He received the B.S. degree in electrical engineering from the Massachusetts Institute of Technology in 1975, and the M.S. and Ph.D. degrees in electrical engineering from Stanford University in 1976 and 1980, respectively. From 1980 to 1993, he was at AT&T Bell Laboratories where he did research on a variety of topics in laser science, as well as semiconductor physics and technology, and held several management positions. He joined the Berkeley faculty in 1993. His current research activities include nanomagnetics/spintronics, carbon nanotube and graphene electronics, nanophotonics, and nano-electromechanical systems. He is a fellow of IEEE, APS, and OSA. . Education 1980, PhD, Electrical Engineering, Stanford University 1976, MS, Electrical Engineering, Stanford University 1975, BS, Electrical Engineering, MIT . Selected Publications Y. Kang, J. Bokor, and V. Stojanovi{\'c}, "Design Requirements for a Spintronic MTJ Logic Device for Pipelined Logic Applications," IEEE Transactions on Electron Devices , vol. 63, no. 4, pp. 1754--1761, 2016. S. B. Desai, S. R. Madhvapathy, A. B. Sachid, J. P. Llinas, Q. Wang, G. H. Ahn, G. Pitner, M. J. Kim, J. Bokor, C. Hu, H. P. Wong, and A. Javey, " MoS2 transistors with 1-nanometer gate lengths ," Science , vol. 354, no. 6308, pp. 99--102, Oct. 2016. T. Schenkel, C. C. Lo, C. Weis, S. Lyon, A. Alexei, and J. Bokor, " Scalable quantum computer architecture with coupled donor-quantum dot qubits ," U.S. Patent 8,816,325. Aug. 2014. B. Lambson, Z. Gu, D. Carlton, and J. Bokor, " Concave nanomagnets with widely tunable anisotropy ," U.S. Patent 8,766,754. July 2014. J. Bokor, N. C. Emley, and D. Carlton, " Nanomagnetic signal propagation and logic gates ," U.S. Patent 8,134,441. March 2012. Y. Wang and J. Bokor, " Ultra-high-resolution monolithic thermal bubble inkjet print head ," J. Micro/Nanolithography, MEMS, and MOEMS , vol. 6, no. 4, pp. 043009-1-10, Oct. 2007. J. Bokor, " Prospects for emerging nanoelectronics in mainstream information processing systems ," in IEEE/ACM Intl. Conf. on Computer Aided Design -- Digest of Technical Papers , New York, NY: ACM Press, 2006, pp. 647-648. D. Hisamoto, W. Lee, J. Kedzierski, H. Takeuchi, K. Asano, C. Kuo, E. Anderson, T. King Liu, J. Bokor, and C. Hu, " FinFET--A self-aligned double-gate MOSFET scalable to 20 nm ," IEEE Trans. Electron Devices , vol. 47, no. 12, pp. 2320-2325, Dec. 2000. . Awards, Memberships and Fellowships American Association for the Advancement of Science (AAAS) Fellow , 2008 EDS Paul Rappaport Award , 2002 DARPATech Significant Technical Achievement Award , 2000 IEEE Electron Devices Society (EDS) Fellows , 2000 Institute of Electrical & Electronics Engineers (IEEE) Fellow , 1999 American Physical Society (APS) Fellow , 1998 Optical Society of America (OSA) Fellow , 1991 . diff --git a/src/data/compiled_bios/3516.txt b/src/data/compiled_bios/3516.txt new file mode 100644 index 0000000000..2b789d807c --- /dev/null +++ b/src/data/compiled_bios/3516.txt @@ -0,0 +1 @@ +Bernhard Boser: Contact Information 490A Cory Hall tel: 510-643-8350 boser@eecs.berkeley.edu : Research Areas Design, Modeling and Analysis (DMA) Integrated Circuits (INC) Physical Electronics (PHY) . Research Centers Berkeley Sensor & Actuator Center (BSAC) SWARM Lab . Teaching Schedule Spring 2019 EE 49. Electronics for the Internet of Things , TuTh 5:00PM - 6:29PM, Cory 277 . Biography He received a diploma in Electrical Engineering from the Swiss Federal Institute of Technology (ETH), Zurich, Switzerland, his M.S. and Ph.D. in EE from Stanford University, 1985 and 1988, respectively. Prior to joining the faculty of EECS in 1991, he was a member of the technical staff of AT&T Bell Laboratories in Holmdel, NJ. Dr. Boser has was the Editor of the IEEE Journal of Solid-State Circuits and President of the IEEE Solid-State Circuits Society. He is a co-founder of SiTime, a company commercializing MEMS resonators to replace quartz crystals as precision timing references. His research focuses on sensors and sensor interface electronics. . Education 1988, Ph.D., Electrical Engineering, Stanford 1985, M.S., Electrical Engineering, Stanford 1984, B.S., Electrical Engineering, Swiss Federal Institute of Technology . Selected Publications B. Boser, " From micro to nano: MEMS as an interface to the nano world ," in IEEE/ACM Intl. Conf. on computer Aided Design (ICCAD '06). Digest of Technical Papers , S. Hassoun, Ed., Piscataway, NJ: IEEE Press, 2006, pp. 824-825. V. P. Petkov and B. Boser, " High-order electromechanical $Sigma Delta$ modulation in micromachined inertial sensors ," IEEE Trans. Circuits and Systems I: Fundamental Theory and Applications , vol. 53, no. 5, pp. 1016-1022, May 2006. K. E. Wojciechowski, B. Boser, and A. Pisano, " A MEMS resonant strain sensor with 33 nano-strain resolution in a 10 kHz bandwidth ," in Proc. 4th IEEE Sensors 2005 Conf. , Piscataway, NJ: IEEE Press, 2005, pp. 947-950. B. S. Leibowitz, B. Boser, and K. Pister, " A 256-element CMOS imaging receiver for free-space optical communication ," IEEE J. Solid-State Circuits , vol. 40, no. 9, pp. 1948-1956, Sep. 2005. B. Cagdaser and B. Boser, " Resonant drive for stabilizing parallel-plate actuators beyond the pull-in point ," in 13th Intl. Conf. on Solid-State Sensors, Actuators and Microsystems (TRANSDUCERS '05). Digest of Technical Papers , Vol. 1, Piscataway, NJ: IEEE Press, 2005, pp. 688-692. T. S. Aytur, T. Ishikawa, and B. Boser, " A 2.2-mm2 CMOS bioassay chip and wireless interface ," in 2004 Symp. on VLSI Circuits. Digest of Technical Papers , Gaithersburg, MD: Widerkehr and Associates, 2004, pp. 314-317. B. Murmann and B. Boser, Digitally Assisted Pipeline ADCs: Theory and Implementation , Boston, MA: Kluwer Academic Publishers, 2004. B. Murmann and B. Boser, " A 12-bit 75-MS/s pipelined ADC using open-loop residue amplification ," IEEE J. Solid-State Circuits , vol. 38, no. 12, pp. 2040-2050, Dec. 2003. J. I. Seeger and B. Boser, " Charge control of parallel-plate, electrostatic actuators and the tip-in instability ," IEEE/ASME J. Microelectromechanical Systems , vol. 12, no. 5, pp. 656-671, Oct. 2003. M. D. Scott, B. Boser, and K. Pister, " An ultralow-energy ADC for Smart Dust ," IEEE J. Solid-State Circuits , vol. 38, no. 7, pp. 1123-1129, July 2003. S. A. Bhave, J. I. Seeger, X. Jiang, B. Boser, R. T. Howe, and J. Yasaitis, " An integrated, vertical-drive, in-plane-sense microgyroscope ," in 12th Intl. Conf. on Solid-State Sensors, Actuators and Microsystems (TRANSDUCERS '03). Digest of Technical Papers , Vol. 1, Piscataway, NJ: IEEE Press, 2003, pp. 171-174. M. Last, B. S. Leibowitz, B. Cagdaser, A. Jog, L. Zhou, B. Boser, and K. Pister, " Toward a wireless optical communication link between two small unmanned aerial vehicles ," in Proc. 2003 IEEE Intl. Symp. on Circuits and Systems (ISCAS 2003) , Vol. 3, Piscataway, NJ: IEEE Press, 2003, pp. 930-933. B. A. Warneke, M. D. Scott, B. S. Leibowitz, L. Zhou, C. L. Bellew, J. A. Chediak, J. M. Kahn, B. Boser, and K. Pister, " An autonomous 16 mm3 solar-powered node for distributed wireless sensor networks ," in Proc. 2002 1st Intl. Conf. on Sensors , Vol. 2, Piscataway, NJ: IEEE Press, 2002, pp. 1510-1515. D. J. Young, B. Boser, V. Malba, and A. F. Bernhardt, " A micromachined RF low phase noise voltage-controlled oscillator for wireless communications ," Intl. J. RF and Microwave Computer-Aided Engineering , vol. 11, no. 5, pp. 285-300, Sep. 2001. B. S. Leibowitz, B. Boser, and K. Pister, " CMOS "smart pixel" for free-space optical communication ," in Proc. SPIE: Sensors and Camera Systems for Scientific, Industrial, and Digital Photography Applications II , M. M. Blouke, J. Canosa, and N. Sampat, Eds., Vol. 4306, Bellingham, WA: SPIE, 2001, pp. 308-318. L. Doherty, B. A. Warneke, B. Boser, and K. Pister, "Energy and performance considerations for smart dust," Intl. J. Parallel and Distributed Systems & Networks , vol. 4, no. 3, pp. 121-133, March 2001. M. Lemkin and B. Boser, " A three-axis micromachined accelerometer with a CMOS position-sense interface and digital offset-trim electronics ," IEEE J. Solid-State Circuits , vol. 34, no. 4, pp. 456-468, April 1999. D. Young and B. Boser, "A micromachined variable capacitor for monolithic low-noise VCOs," in 6th IEEE Solid-State Sensor and Actuator Workshop. Technical Digest , Cleveland Heights, OH: Transducer Research Foundation, 1996, pp. 86-89. B. Boser, I. M. Guyon, and V. N. Vapnik, " A training algorithm for optimal margin classifiers ," in Proc. 5th Annual ACM Workshop on Computational Learning Theory , New York, NY: ACM Press, 1992, pp. 144-152. B. Boser and B. A. Wooley, " The design of sigma-delta modulation analog-to-digital converters ," IEEE J. Solid-State Circuits , vol. 23, no. 6, pp. 1298-1308, Dec. 1988. . Awards, Memberships and Fellowships Alexander Schwarzkopf Prize , 2016 ISSCC Lewis Winner Award for Outstanding Paper , 2016 IEEE Electron Devices Society (EDS) Fellows , 2003 Institute of Electrical & Electronics Engineers (IEEE) Fellow , 2002 . diff --git a/src/data/compiled_bios/3517.txt b/src/data/compiled_bios/3517.txt new file mode 100644 index 0000000000..c07bdb0c94 --- /dev/null +++ b/src/data/compiled_bios/3517.txt @@ -0,0 +1 @@ +Robert K. Brayton: Contact Information 573 Cory Hall tel: 510-643-9801 : Research Areas Design, Modeling and Analysis (DMA) Advanced methods in combinational and sequential logic synthesis and formal verification . . . Biography Robert Brayton received the BSEE degree from Iowa State University in 1956 and the Ph.D. degree in mathematics from MIT in 1961. He was a member of the Mathematical Sciences Department of the IBM T. J. Watson Research Center until he joined the EECS Department at Berkeley in 1987. He held the Edgar L. and Harold H. Buttner Endowed Chair and is currently the Cadence Distinguished Professor of Electrical Engineering at Berkeley. He is a member of the National Academy of Engineering, and a Fellow of the IEEE and the AAAS. He received the 1991 IEEE CAS Technical Achievement Award, the 1971 IEEE Guilleman-Cauer award, the 1987 ISCAS Darlington award. In 2000, he received the 2000 CAS Golden Jubilee and the IEEE Millennium Medals, the 2002 Iowa State University Marston Medal, and in 2006, the IEEE Emanuel R. Piore, the ACM Kanallakis and the EDAA Lifetime Achievement Awards. In 2007 he received the EDAC/CEDA Phil Kaufman Award and in 2009, the SIGDA/CEDA A. Richard Newton Technical Impact Award. He has authored over 450 technical papers, and 10 books in the areas of the analysis of nonlinear networks, simulation and optimization of electrical circuits, logic synthesis, and formal design verification. . Education 1961, Ph.D., Mathematics, MIT 1956, BSEE, Electrical Engineering, Iowa State University . Selected Publications K. Aadithya, S. Ray, P. Nuzzo, A. Mishchenko, R. K. Brayton, and J. Roychowdhury, " ABCD-NL: Approximating Continuous Non-Linear Dynamical Systems using Purely Boolean Models for Analog/Mixed-Signal Verification ," in Proc. IEEE Asia South-Pacific Design Automation Conference , 2014. A. Mishchenko, S. Chatterjee, and R. K. Brayton, " Improvements to technology mapping for LUT-based FPGAs ," IEEE Trans. Computer-Aided Design of Integrated Circuits and Systems , vol. 26, no. 2, pp. 240-253, Feb. 2007. J. R. Jiang and R. K. Brayton, " Retiming and resynthesis: A complexity perspective ," IEEE Trans. Computer-Aided Design of Integrated Circuits and Systems , vol. 25, no. 12, pp. 2674-2686, Dec. 2006. S. Chatterjee, A. Mishchenko, R. K. Brayton, X. Wang, and T. Kam, " Reducing structural bias in technology mapping ," IEEE Trans. Computer-Aided Design of Integrated Circuits and Systems , vol. 25, no. 12, pp. 2984-2903, Dec. 2006. A. Mishchenko, S. Chatterjee, and R. K. Brayton, " DAG-aware AIG rewriting: A fresh look at combinational logic synthesis ," in Proc. IEEE/ACM 43rd Annual Conf. on Design Automation , New York, NY: ACM Press, 2006, pp. 532-535. A. Mishchenko and R. K. Brayton, " A theory of nondeterministic networks ," IEEE Trans. Computer-Aided Design of Integrated Circuits and Systems , vol. 25, no. 6, pp. 977-999, June 2006. A. Mishchenko, J. S. Zhang, S. Sinha, J. R. Burch, R. K. Brayton, and M. Chrzanowska-Jeske, " Using simulation and satisfiability to compute flexibilities in Boolean networks ," IEEE Trans. Computer-Aided Design of Integrated Circuits and Systems , vol. 25, no. 5, pp. 743-755, May 2006. Y. Li, A. Kondratyev, and R. K. Brayton, " Gaining predictability and noise immunity in global interconnects ," in Proc. 5th Intl. Conf. on Application of Concurrency to System Design , Los Alamitos, CA: IEEE Computer Society, 2005, pp. 176-185. A. Mishchenko and R. K. Brayton, " SAT-based complete don't-care computation for network optimization ," in Proc. Design, Automation and Test in Europe , Vol. 1, Los Alamitos, CA: IEEE Computer Society, 2005, pp. 412-417. J. R. Jiang and R. K. Brayton, " Functional dependency for verification reduction ," in Computer Aided Verification: Proc. 16th Intl. Conf. (CAV 2004) , R. Alur and D. A. Peled, Eds., Lecture Notes in Computer Science, Vol. 3114, Berlin, Germany: Springer-Verlag, 2004, pp. 268-280. S. P. Khatri, S. Sinha, R. K. Brayton, and A. L. Sangiovanni-Vincentelli, " SPFD-based wire removal in standard-cell and network-of-PLA circuits ," IEEE Trans. Computer-Aided Design of Integrated Circuits and Systems , vol. 23, no. 7, pp. 1020-1030, July 2004. F. Mo and R. K. Brayton, " A timing-driven module-based chip design flow ," in Proc. 2004 41st Design Automation Conf. , New York, NY: ACM Press, 2004, pp. 67-70. Y. Jiang, S. Matic, and R. K. Brayton, " Generalized cofactoring for logic function evaluation ," in Proc. 2003 40th Design Automation Conf. , Piscataway, NJ: IEEE Press, 2003, pp. 155-158. N. Yevtushenko, T. Villa, R. K. Brayton, A. Petrenko, and A. L. Sangiovanni-Vincentelli, " Equisolvability of series vs. controller's topology in synchronous language equations ," in Proc. 6th Design, Automation and Test in Europe Conf. and Exhibition (DATE 2003) , N. Wehn and D. Verkest, Eds., Los Alamitos, CA: IEEE Computer Society, 2003, pp. 1154-1155. M. Baleani, F. Gennari, Y. Jiang, Y. Patel, R. K. Brayton, and A. L. Sangiovanni-Vincentelli, "HW/SW Partitioning and Code Generation of Embedded Control Applications on a Reconfigurable Architecture Platform," in Proceedings of the tenth international symposium on Hardware/software codesign , 2002. M. Baleani, F. Gennari, Y. Jiang, Y. Patel, R. K. Brayton, and A. L. Sangiovanni-Vincentelli, " HW/SW partitioning and code generation of embedded control applications on a reconfigurable architecture platform ," in Proc. 10th Intl. Symp. on Hardware/Software Codesign (CODES 2002) , New York, NY: ACM Press, 2002, pp. 151-156. R. K. Brayton, " Compatible observability don't cares revisited ," in IEEE/ACM Intl. Conf. on Computer Aided Design (ICCAD 2001). Digest of Technical Papers , Piscataway, NJ: IEEE Press, 2001, pp. 618-623. R. K. Brayton, G. D. Hachtel, A. L. Sangiovanni-Vincentelli, F. Somenzi, A. Aziz, S. Cheng, S. Edwards, S. Khatri, Y. Kukimoto, A. Pardo, S. Qadeer, R. K. Ranjan, S. Sarwary, T. R. Shiple, G. Swamy, and T. Villa, " VIS: A system for verification and synthesis ," in Lecture Notes in Computer Science: Computer Aided Verification , R. Alur and T. A. Henzinger, Eds., Vol. 1102, London, UK: Springer-Verlag, 1996, pp. 428-432. E. M. Sentovich, K. J. Singh, C. Moon, H. Savoj, R. K. Brayton, and A. L. Sangiovanni-Vincentelli, " Sequential circuit design using synthesis and optimization ," in Proc. IEEE 1992 Intl. Conf. on Computer Design: VLSI in Computers and Processors , Los Alamitos, CA: IEEE Computer Society Press, 1992, pp. 328-333. R. K. Brayton, G. D. Hachtel, and A. L. Sangiovanni-Vincentelli, " Invited Paper: Multilevel logic synthesis ," Proc. IEEE , vol. 78, no. 2, pp. 264-300, Feb. 1990. . Awards, Memberships and Fellowships SRC Technical Excellence Award , 2011 ACM SIGDA Pioneering Achievement Award , 2011 A. Richard Newton Technical Impact Award in Electronic Design Automation , 2009 IEEE TCAD ICS Donald O. Pederson Best Paper Award , 2008 Phil Kaufman Award , 2007 Paris Kanellakis Theory and Practice Award , 2006 IEEE Emanuel R. Piore Award , 2006 EDAA Lifetime Achievement Award , 2006 Anson Marston Medal , 2002 CASS 2000 Millennium Medal , 2000 CASS Golden Jubilee Medal , 2000 National Academy of Engineering (NAE) Member , 1993 Charles A. Desoer Technical Achievement Award , 1992 Darlington Best Paper Award , 1987 Institute of Electrical & Electronics Engineers (IEEE) Fellow , 1981 American Association for the Advancement of Science (AAAS) Fellow , 1972 Guillemin-Cauer Best Paper Award , 1970 . diff --git a/src/data/compiled_bios/3518.txt b/src/data/compiled_bios/3518.txt new file mode 100644 index 0000000000..5658f3684e --- /dev/null +++ b/src/data/compiled_bios/3518.txt @@ -0,0 +1 @@ +Robert W. Brodersen: Contact Information 402 Cory Hall tel: 510-642-1779 rb@eecs.berkeley.edu : Research Areas Design, Modeling and Analysis (DMA) Integrated Circuits (INC) Signal Processing (SP) . Research Centers Berkeley Wireless Research Center (BWRC) . . Biography Robert W. Brodersen received a B.S. in both Electrical Engineering and Mathematics from California State Polytechnic University, Pomona, in 1966, and his M. S. and Ph.D. degrees in Electrical Engineering from MIT in 1968 and 1972, respectively. After spending three years with Texas Instruments in Dallas, he joined the faculty of the EECS Department at UC Berkeley in 1976; where he has pursued research in the areas of RF and digital wireless communications design, signal processing applications, and design methodologies. In 1994, he was the first holder of the John R. Whinnery Chair in Electrical Engineering and Computer Sciences. In 1998, he was instrumental in founding the Berkeley Wireless Research Center (BWRC), a consortium involving university researchers, industrial partners, and governmental agencies that is involved in all aspects of the design of highly integrated CMOS wireless systems. He retired in 2006 as Professor Emeritus but remains active at BWRC, where he is Co-Scientific Director, and at the Donald O. Pederson Center for Electronics Systems Design. His career includes significant contributions to the areas of low power design and wireless communications, including system-level, real-time prototyping, ultra-wideband radio systems, multiple-carrier multiple-antenna algorithms, microwave CMOS radio design, and the CAD tools necessary to support these activities. He has authored or co-authored over 200 journal articles and conference papers in these areas, published 11 books, supervised over 50 dissertations, and holds three patents. He was a leading contributor (with J. Rabaey, R. Katz, E. Brewer, and P. Wright) to the InfoPad Project (1992-1997), which created the first wireless web terminal, even before the Web came into being. He was also a principal developer (with J. Wawrzynek and J. Rabaey) of the BEE2 (Berkeley Emulation Engine 2), a field-programmable gate array-based platform used for prototyping and testing advanced wireless systems. It is currently being used by the RAMP Project to emulate large-scale multicore systems, and is also in use for high-performance radio telescope projects. Professor Brodersen has received many awards during the course of his career. He was co-recipient, with P. Gray and D. Hodges, of the 1983 IEEE Morris N. Liebmann Memorial Award for "pioneering contributions and leadership in research on switched-capacitor circuits for analog-digital conversion and filtering." He has received two major IEEE Technical Achievement Awards, the first in 1987 from the Circuits and Systems Society in recognition of the originality and continuity of his technical contributions, and the second in 1990 from the Signal Processing Society in recognition of his impact on the field. In 1997, he was the recipient of the IEEE Solid-State Circuits Society Award for "contributions to the design of integrated circuits for signal processing systems," and in 1998, received the ACM SIGMOBILE Computing Award for his work on the InfoPad. In 2000, he was a recipient of an IEEE Millennium Medal, as well as the Circuits and Systems Society's Golden Jubilee Award. In 2003, he was honored as one of the top ten contributors over the last 50 years to the IEEE International Solid-State Circuits Conference. Prof. Brodersen is a Fellow of the IEEE and a Member of the National Academy of Engineering. . . Selected Publications D. Markovic, B. Nikolic, and R. W. Brodersen, " Power and area minimization for multidimensional signal processing ," IEEE J. Solid-State Circuits , vol. 42, no. 4, pp. 922-934, April 2007. H. K. So and R. W. Brodersen, " Improving usability of FPGA-based reconfigurable computers through operating system support ," in Proc. 2006 Intl. Conf. on Field Programmable Logic and Applications (FPL '06) , Piscataway, NJ: IEEE Press, 2006, pp. 1-6. S. M. Mishra, A. Sahai, and R. W. Brodersen, " Cooperative sensing among cognitive radios ," in Proc. IEEE 2006 Intl. Conf. on Communications (ICC '06) , Vol. 4, Piscataway, NJ: IEEE Press, 2006, pp. 1658-1663. A. Niknejad, C. Doan, S. Emami Neyestanak, M. V. Dunga, X. Xi, J. He, R. W. Brodersen, and C. Hu, "Next generation CMOS compact mofels for RF and microwave applications (Invited)," in RFIC Digest of Papers , 2005, pp. 141-144. S. Wang, A. Niknejad, and R. W. Brodersen, "A sub-mW 960-MHz ultra-wideband CMOS LNA," in RFIC Digest of Papers , 2005, pp. 35-38. S. Emami, C. H. Doan, A. Niknejad, and R. W. Brodersen, " A 60-GHz down-converting CMOS single-gate mixer ," in RFIC Digest of Papers , A. Jerng, Ed., Piscataway, NJ: IEEE, 2005, pp. 163-166. C. Chang, J. Wawrzynek, and R. W. Brodersen, " BEE2: A high-end reconfigurable computing system ," IEEE Design and Test of Computers , vol. 22, no. 2, pp. 114-125, March 2005. C. H. Doan, S. Emani, A. Niknejad, and R. W. Brodersen, " Millimeter-wave CMOS design ," IEEE J. Solid-State Circuits , vol. 40, no. 1, pp. 144-155, Jan. 2005. S. Wang, A. Niknejad, and R. W. Brodersen, "Modeling omnidirectional small antennas for UWB applications," in Antennas and Propagation Society Symposium , 2004, pp. 1295-1298. A. Niknejad, C. Doan, S. Emami Neyestanak, D. A. Sobel, and R. W. Brodersen, "60 GHz CMOS radio for Gb/s wireless LAN," in RFIC Digest of Papers , 2004, pp. 2004. C. Doan, S. Emami Neyestanak, A. Niknejad, and R. W. Brodersen, "Design of CMOS for 60GHz applications," in ISSCC Digest of Technical Papers , 2004, pp. 440-538. C. Doan, S. Emami Neyestanak, A. Niknejad, and R. W. Brodersen, "Millimeter-wave CMOS device modeling and simulation," in Proceedings of ISCAS , 2004, pp. V524-V527. T. D. Burd and R. W. Brodersen, Energy Efficient Microprocessor Design , Boston, MA: Kluwer Academic Publishers, 2002. T. Burd, T. Pering, A. Stratakos, and R. W. Brodersen, " Lewis Winner Award: A dynamic voltage scaled microprocessor system ," in 2000 IEEE Intl. Solid-State Circuits Conf. (ISSCC 2000). Digest of Technical Papers , Vol. 43, Piscataway, NJ: IEEE Press, 2001, pp. 294-295. A. P. Chandrakasan and R. W. Brodersen, Eds., Low-Power CMOS Design , New York, NY: Wiley-IEEE Press, 1998. S. Sheng and R. W. Brodersen, Low-Power CMOS Wireless Communications: A Wideband CDMA System Design , Boston, MA: Kluwer Academic Publishers, 1998. A. P. Chandrakasan and R. W. Brodersen, Low Power Digital CMOS Design , Boston, MA: Kluwer Academic Publishers, 1995. S. Sheng, A. Chandrakasan, and R. W. Brodersen, " A portable multimedia terminal (Best Paper Award) ," IEEE Communications Magazine , vol. 30, no. 12, pp. 64-75, Dec. 1992. A. P. Chandrakasan, M. Potkonjak, J. M. Rabaey, and R. W. Brodersen, " HYPER-LP: A system for power minimization using architectural transformations ," in IEEE/ACM Intl. Conf. on Computer-Aided Design (ICCAD '92). Digest of Technical Papers , Los Alamitos, CA: IEEE Computer Society Press, 1992, pp. 300-303. R. W. Brodersen, Ed., Anatomy of a Silicon Compiler , The Kluwer International Series in Engineering and Computer Science: VLSI, Computer Architecture, and Digital Signal Processing, Vol. 181, Boston, MA: Kluwer Academic Publishers, 1992. . Awards, Memberships and Fellowships IEEE Edison Medal , 2016 Berkeley Citation , 2015 CASS 2000 Millennium Medal , 2000 CASS Golden Jubilee Medal , 2000 ACM SIGMOBILE Outstanding Contribution Award , 1998 IEEE Donald O. Pederson Award in Solid-State Circuits , 1997 Signal Processing Society Technical Achievement Award , 1991 National Academy of Engineering (NAE) Member , 1988 Charles A. Desoer Technical Achievement Award , 1987 IEEE Morris N. Liebmann Memorial Award , 1983 Institute of Electrical & Electronics Engineers (IEEE) Fellow , 1982 IEEE W. R. G. Baker Prize Paper Award , 1980 . diff --git a/src/data/compiled_bios/3519.txt b/src/data/compiled_bios/3519.txt new file mode 100644 index 0000000000..4e916c58e0 --- /dev/null +++ b/src/data/compiled_bios/3519.txt @@ -0,0 +1 @@ +Thomas F. Budinger: Contact Information budinger@eecs.berkeley.edu : Research Areas Biosystems & Computational Biology (BIO) Control, Intelligent Systems, and Robotics (CIR) Biomedial imaging instrumentation and image analysis; Biomonitoring; Magnetic resonance imaging; Emission tomography . . . Biography He received his B.S. in chemistry at Regis College, 1954, a M.S. in Physical Oceanography, University of Washington, Seattle, 1957, a M.D. from the University of Colorado, Denver, 1964, and a Ph.D. in Medical Physics from UC Berkeley, 1971. He has received numerous honors and awards for his research contributions to nuclear medicine and imaging techniques and was elected as a member to the National Academy of Engineering in 1996. Dr. Budinger is also Professor & Chair of the Department of Bioengineering, Professor in Residence, University of California, San Francisco and Department Head, Department of Nuclear Medicine & Functional Imaging, Lawrence Berkeley National Laboratory. . . Selected Publications T. F. Budinger and M. D. Budinger, Ethics of Emerging Technologies: Scientific Facts and Moral Challenges , Hoboken, NJ: John Wiley & Sons, Inc., 2006. J. S. Maltz and T. F. Budinger, "Arterial endothelial function measurement method and apparatus," U.S. Patent Application. Feb. 2006. J. S. Maltz and T. F. Budinger, " Evaluation of arterial endothelial function using transit times of artificially induced pulses ," Physiological Measurement , vol. 26, no. 3, pp. 293-307, June 2005. A. Pines, T. Budinger, G. Navon, Y. Song, S. Appelt, A. Bifone, R. Taylor, B. Goodson, R. Seydoux, T. Room, and T. Pietrass, " Enhancement of NMR and MRI in the presence of hyperpolarized noble gases ," U.S. Patent 6,818,202. Nov. 2004. C. A. Meriles, D. Sakellariou, A. Moule, M. Goldman, T. F. Budinger, and A. Pines, "High-resolution NMR of static samples by rotation of the magnetic field," J. Magnetic Resonance , vol. 169, no. 1, pp. 13-18, July 2004. T. F. Budinger, " Progenitor endothelial cell involvement in Alzheimer's disease ," Neurological Research , vol. 25, no. 6, pp. 617-624, Sep. 2003. T. F. Budinger, " Biomonitoring with wireless communications ," in Annual Review of Biomedical Engineering , M. L. Yarmush, K. R. Diller, and M. Toner, Eds., Vol. 5, Palo Alto, CA: Annual Reviews, 2003, pp. 383-412. A. Biegon, M. Alvarado, T. F. Budinger, R. Grossman, K. Hensley, M. S. West, Y. Kotake, M. Ono, and R. A. Floyd, " Region-selective effects of neuroinflammation and antioxidant treatment on peripheral benzodiazepine receptors and NMDA receptors in the rat brain ," J. Neurochemistry , vol. 82, no. 4, pp. 924-934, Aug. 2002. A. Pines, T. Budinger, G. Navon, Y. Song, S. Appelt, A. Bifone, R. Taylor, B. Goodson, R. Seydoux, T. Room, and T. Pietrass, " Enhancement of NMR and MRI in the presence of hyperpolarized noble gases ," U.S. Patent 6,426,058. July 2002. J. S. Huber, S. E. Derenzo, J. Qi, W. W. Moses, H. Huesman, and T. F. Budinger, " Conceptual design of a compact positron tomograph for prostate imaging ," IEEE Trans. Nuclear Science , vol. 48, no. 4, pp. 1506, Aug. 2001. P. T. Schoenemann, T. F. Budinger, V. M. Sarich, and W. S. Wang, " Brain size does not predict general cognitive ability within families ," Proc. National Academy of Sciences of the United States of America , vol. 97, no. 9, pp. 4932-4937, April 2000. K. S. Bankiewicz, J. L. Eberling, M. Kohutnicka, W. Jagust, P. Pivirotto, J. Bringas, J. Cunningham, T. F. Budinger, and J. Harvey-White, " Convection-enhanced delivery of AAV vector in Parkinsonian monkeys; in vivo detection of gene expression and restoration of dopaminergic function using pro-drug approach ," Experimental Neurology , vol. 164, no. 1, pp. 2-14, Jan. 2000. J. S. Maltz, E. Polak, and T. F. Budinger, " Multistart optimisation algorithm for joint spatial and kinetic parameter estimation in dynamic ECT ," in 1998 IEEE Nuclear Science Symp. and Medical Imaging Conf. Conference Record , Vol. 3, Piscataway, NJ: IEEE Press, 1998, pp. 1567-1573. . Awards, Memberships and Fellowships IEEE Medal for Innovations in Healthcare Technology , 2018 World Molecular Imaging Society (WMIS) Fellow , 2012 American Roentgen Roy Society Gold Medal , 2009 Berkeley Citation , 2004 American Institute for Medical and Biological Engineering (AIMBE) Fellow , 1997 National Academy of Engineering (NAE) Member , 1996 Georg Charles de Hevesy Pioneer Award , 1996 SNMMI Distinguished Scientist Award , 1991 National Academy of Medicine (NAM) Member , 1990 Method To Extend Research in Time (MERIT) Award , 1990 Paul C. Aebersold Award , 1989 ISMRM Distinguished Service (Silver) Medal , 1989 Ernst Jung Prize for Medicine , 1989 Distinguished Achievement in Nuclear Technology for Medical Diagnostics , 1984 . diff --git a/src/data/compiled_bios/352.txt b/src/data/compiled_bios/352.txt new file mode 100644 index 0000000000..16d03bbbba --- /dev/null +++ b/src/data/compiled_bios/352.txt @@ -0,0 +1 @@ +Name: Hamlen, Kevin:: Position: Professor:: Degrees: Ph.D., Computer Science, Cornell University, 2006; M.S., Computer Science, Cornell University, 2002; B.S., Computer Science and Mathematical Sciences, Carnegie Mellon University, 1998; Research Interests: Language-based security; In-lined reference monitors; Type-safe intermediate languages; Abstract interpretation; Model-checking; Proof-carrying code; Certifying compilers; Major Honors and Awards: ; NYU-Poly CSAW Best Applied Security Paper of the Year Award, 2nd place, 2014; ; ; Metroplex Technology Business Council Tech Titan Technology Inventor, Finalist (final four),2013; ; ; Outstanding Teaching Award, Erik Jonsson School of Engineering and Computer Science, The; University of Texas at Dallas, 2013; ; ; Best Student Paper Award, Annual Computer Security Applications Conference (ACSAC), 2012; ; ; NYU-Poly AT&T Best Applied Security Paper of the Year Award, 2nd place, 2012; ; ; Faculty Research Award, Erik Jonsson School of Engineering and Computer Science, The; University of Texas at Dallas, 2012; ; ; Best Paper Award, IEEE International Conference on Tools with Artificial Intelligence (ICTAI), Special Session on Stream Data Mining, 2011; ; ; CAREER Award, National Science Foundation, 2011; ; ; Young Investigator Program (YIP) Award, U.S. Air Force Office of Scientific Research, 2008; ; ; Ph.D. Fellowship Award, Intel Foundation, 2004; ; ; Allen Newell Award for Excellence in Undergraduate Research, Carnegie Mellon University,; 1998; ; ; Phi Kappa Phi Honor Society, Carnegie Mellon University, 1998; ; ; Phi Beta Kappa Honor Society, Carnegie Mellon University, 1998; ; ; Graduated summa cum laude (3rd in class), Carnegie Mellon University, 1998; ; RepresentativePublications: ; Vishwath Mohan, Per Larsen, Stefan Brunthaler, Kevin W. Hamlen, and Michael Franz. Opaque Control-Flow Integrity. In Proceedings of the 22nd Network and Distributed System Security Symposium (NDSS), February 2015, forthcoming.; ; ; Frederico Araujo, Kevin W. Hamlen, Sebastian Biedermann, and Stefan Katzenbeisser. From Patches to Honey-Patches: Lightweight Attacker Misdirection, Deception, and Disinformation. In Proceedings of the 21st ACM Conference on Computer and Communications Security (CCS), pp. 942953, November 2014.; ; ; Richard Wartell, Yan Zhou, Kevin W. Hamlen, and Murat Kantarcioglu. Shingled Graph Disassembly: Finding the Undecidable Path. In Proceedings of the 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), pp. 273285, May 2014.; ; ; Safwan Mahmud Khan, Kevin W. Hamlen, and Murat Kantarcioglu. Silver Lining: Enforcing Secure Information Flow at the Cloud Edge. In Proceedings of the 2nd IEEE Conference on Cloud Engineering (IC2E), pp. 3746, March 2014.; ; ; Yangchun Fu, Zhiqiang Lin, and Kevin W. Hamlen. Subverting System Authentication with Context-Aware, Reactive Virtual Machine Introspection. In Proceedings of the 29th Annual Computer Security Applications Conference (ACSAC), pp. 229238, December 2013.; ; diff --git a/src/data/compiled_bios/3520.txt b/src/data/compiled_bios/3520.txt new file mode 100644 index 0000000000..3253e3f227 --- /dev/null +++ b/src/data/compiled_bios/3520.txt @@ -0,0 +1 @@ +Duncan Callaway: Contact Information 419 Sutardja Dai Hall 318 Barrows Hall dcal@berkeley.edu : Research Areas Energy (ENE) . . Teaching Schedule Spring 2019 EE 290O. 21st Century Power System Dynamics , Mo 2:00PM - 3:59PM, Cory 531 . Biography Duncan Callaway is an Associate Professor of Energy and Resources with an affiliate (i.e. "below the line") appointment in Electrical Engineering and Computer Science. He is also a Faculty Scientist at Lawrence Berkeley National Laboratory. He received his PhD from Cornell University and subsequently worked in the energy industry, first at Davis Energy Group and later at PowerLight Corporation. He was a member of the research faculty of the Center for Sustainable Systems at the University of Michigan before joining UC Berkeley. Dr. Callaways teaching covers energy systems with a focus on the electrical grid and energy efficiency. His research group focuses on emerging energy technologies by quantifying their impacts on power system operations and developing control, optimization and data analysis tools to facilitate their integration into power systems. . Education 2001, Ph.D., Theoretical & Applied Mechanics, Cornell University 1995, B.S., Mechanical Engineering, University of Rochester . Selected Publications D. Arnold, M. Sankur, R. Dobbe, K. Brady, D. Callaway, and A. von Meier, "Optimal Dispatch of Reactive Power for Voltage Regulation and Balancing in Unbalanced Distribution Systems," in IEEE Power & Energy Society General Meeting , 2016. . Awards, Memberships and Fellowships NSF Faculty Early Career Development Award (CAREER) , 2015 . diff --git a/src/data/compiled_bios/3521.txt b/src/data/compiled_bios/3521.txt new file mode 100644 index 0000000000..3623a7d6e8 --- /dev/null +++ b/src/data/compiled_bios/3521.txt @@ -0,0 +1 @@ +Jose M. Carmena: Contact Information 570 Cory Hall 286 Li Ka Shing Center tel: 643-2430 jcarmena@berkeley.edu : Research Areas Control, Intelligent Systems, and Robotics (CIR) Biosystems & Computational Biology (BIO) Brain-machine interfaces; Neuroprosthetics; Sensorimotor learning and control; Neural ensemble computation . Research Centers Helen Wills Neuroscience Institute (HWNI) CITRIS People and Robots (CPAR) Center for Neural Engineering & Prostheses (CNEP) . . Biography Jose M. Carmena is the Chancellor's Professor of Electrical Engineering and Neuroscience at the University of California-Berkeley, and Co-Director of the Center for Neural Engineering and Prostheses at UC Berkeley and UCSF. His research program in neural engineering and systems neuroscience is aimed at understanding the neural basis of sensorimotor learning and control, and at building the science and engineering base that will allow the creation of reliable neuroprosthetic systems for the severely disabled. Dr. Carmena received the B.S. and M.S. degrees in electrical engineering from the Polytechnic University of Valencia (Spain) in 1995 and the University of Valencia (Spain) in 1997. Following those he received the M.S. degree in artificial intelligence and the Ph.D. degree in robotics both from the University of Edinburgh (Scotland, UK) in 1998 and 2002 respectively. From 2002 to 2005 he was a Postdoctoral Fellow at the Department of Neurobiology and the Center for Neuroengineering at Duke University (Durham, NC). He is Fellow of the IEEE and member of the Society for Neuroscience, and the Neural Control of Movement Society. Dr. Carmena has been the recipient of the McKnight Technological Innovations in Neuroscience Award (2017), Bakar Fellowship (2012), the IEEE Engineering in Medicine and Biology Society Early Career Achievement Award (2011), the Aspen Brain Forum Prize in Neurotechnology (2010), the National Science Foundation CAREER Award (2010), the Alfred P. Sloan Research Fellowship (2009), the Okawa Foundation Research Grant Award (2007), the UC Berkeley Hellman Faculty Award (2007), and the Christopher Reeve Paralysis Foundation Postdoctoral Fellowship (2003). . Education 2002, Ph.D., Robotics, University of Edinburgh, Scotland 1998, M.S., Artificial Intelligence, University of Edinburgh, Scotland 1997, M.S., Electrical Engineering, University of Valencia, Spain 1995, B.S., Electrical Engineering, Polytechnic University of Valencia, Spain . Selected Publications M. Shanechi, A. Orsborn, H. Moorman, S. Gowda, S. Dangi, and J. M. Carmena, "Rapid control and feedback rates in the sensorimotor pathway enhance neuroprosthetic control," Nature Communications , Jan. 2017. M. Shanechi, A. Orsborn, and J. M. Carmena, "Robust brain-machine interface design using optimal feedback control modeling and adaptive point process filtering," PLoS Computational Biology , May 2016. D. Seo, R. Neely, K. Shen, S. U, E. Alon, J. M. Rabaey, J. M. Carmena, and M. Maharbiz, "Wireless recording in the peripheral nervous system with ultrasonic neural dust," Neuron , vol. 91, pp. 529-539, April 2016. A. Orsborn, H. Moorman, S. Overduin, M. Shanechi, D. Dimitrov, and J. M. Carmena, "Closed-loop decoder adaptation shapes neural plasticity for skillful neuroprosthetic control," Neuron , vol. 82, pp. 1-14, June 2014. K. Clancy, A. Koralek, R. Costa, D. Feldman, and J. M. Carmena, "Volitional modulation of optically recorded calcium signals during neuroprosthetic learning," Nature Neuroscience , vol. 17, no. 6, pp. 807-810, Feb. 2014. A. Koralek, K. Ganguly, and J. M. Carmena, "Temporally precise cell-specific coherence develops in corticostriatal networks during learning," Neuron , vol. 79, no. 5, pp. 865-87, Oct. 2013. A. Koralek, X. Jin, J. Long, R. Costa, and J. M. Carmena, " Corticostriatal plasticity is necessary for learning intentional neuroprosthetic skills ," Nature , vol. 483, no. 7389, pp. 331-335, March 2012. K. Ganguly, D. F. Dimitrov, J. D. Wallis, and J. M. Carmena, " Reversible large-scale modification of cortical networks during neuroprosthetic control ," Nature Neuroscience , vol. 14, pp. 662-667, March 2011. R. Canolty, K. Ganguly, S. Kennerley, C. Cadieu, K. Koepsell, J. Wallis, and J. M. Carmena, " Oscillatory phase coupling coordinates anatomically-dispersed functional cell assemblies ," PNAS , Sep. 2010. K. Ganguly and J. M. Carmena, " Emergence of a stable cortical map for neuroprosthetic control ," PLoS Biology , July 2009. . Awards, Memberships and Fellowships Institute of Electrical & Electronics Engineers (IEEE) Fellow , 2017 McKnight Technological Innovations in Neuroscience Award , 2017 Bakar Fellow , 2012 Engineering Medicine & Biology Society Early Career Achievement Award , 2011 NSF Faculty Early Career Development Award (CAREER) , 2010 Aspen Brain Forum Junior Scientist Prize in Neurotechnology , 2010 Sloan Research Fellow , 2009 Hellman Fellow , 2007 Okawa Research Grant , 2007 . diff --git a/src/data/compiled_bios/3522.txt b/src/data/compiled_bios/3522.txt new file mode 100644 index 0000000000..5a2301ba86 --- /dev/null +++ b/src/data/compiled_bios/3522.txt @@ -0,0 +1 @@ +Constance Chang-Hasnain: Contact Information 263M Cory Hall tel: 510-642-4315 fax: 643-7345 208 McLaughlin Hall cch@berkeley.edu : Research Areas Micro/Nano Electro Mechanical Systems (MEMS) Physical Electronics (PHY) Nano-Optoelectronic devices Microsystems and materials . Research Centers Center for Energy Efficient Electronics Science (E3S) Center for Integrated Access Networks (CIAN) Tsinghua-UC Berkeley Shenzhen Institute (TBSI) . . Biography Prof. Chang-Hasnain's CV Connie Chang-Hasnain is Associate Dean for Strategic Alliances, College of Engineering, and John R. Whinnery Distinguished Chair Professor of Electrical Engineering and Computer Sciences. She is also Chair of Nanoscale Science and Engineering Graduate Group, University of California, Berkeley. She received her Ph.D. from the same university in 1987. Prior to joining the Berkeley faculty, Dr. Chang-Hasnain was a member of the technical staff at Bellcore (19871992), and Assistant and Associate Professor of Electrical Engineering at Stanford University (19921996). She is an Honorary Member of A.F. Ioffe Institute, Chang Jiang Scholar Endowed Chair Professor at Tsinghua University, Visiting Professor of Peking University and National Chiao Tung University. She is Founding Co-Director of Tsinghua Berkeley Shenzhen Institute since 2015. Professor Chang-Hasnains research interests range from semiconductor optoelectronic devices to materials and physics, with current foci on nano-photonic materials and devices for chip-scale integrated optics. She has been honored with the Quantum Device Award (2014), IEEE David Sarnoff Award (2011), the OSA Nick Holonyak Jr. Award (2007), the IEEE LEOS William Streifer Award for Scientific Achievement (2003), and the Microoptics Award from Japan Society of Applied Physics (2009). Additionally, she has been awarded with a National Security Science and Engineering Faculty Fellowship by the Department of Defense (2008), a Humboldt Research Award (2009), and a Guggenheim Fellowship (2009). She is an elected member of National Academy of Engineering, a member of the US Advisory Committee to the International Commission on Optics, National Academy of Sciences and Skolkovo Foundation Scientific Advisory Council. She served on the National Research Council Committee on Optics and Photonics: Essential Technologies for Our Nation; US Air Force Scientific Advisory Board; Board on Assessment of NIST Programs, National Research Council; IEEE LEOS Board of Governors, and OSA Board of Directors. She was the Editor-in-Chief Journal of Lightwave Technology 2007-2012 and is Associate Editor of the OSA Optica, since 2013. . Education 1987, Ph.D., Electrical Engineering, U.C. Berkeley 1984, M.S., Electrical Engineering, U.C. Berkeley 1982, B.S., Electrical Engineering, U.C. Davis . Selected Publications K. W. Ng, W. S. Ko, F. Lu, and C. Chang-Hasnain, " Metastable Growth of Pure Wurtzite InGaAs Microstructures ," Nano Letters , vol. 14, no. 8, pp. 47574762, July 2014. R. Chen, K. W. Ng, W. S. Ko, D. Parekh, F. Lu, T. D. Tran, K. Li, and C. Chang-Hasnain, " Nanophotonic integrated circuits from nanoresonators grown on silicon ," Nature communications , vol. 5, no. 4325, July 2014. W. Yang, J. Ferrara, K. Grutter, A. Yeh, C. Chase, Y. Yue, A. E. Willner, M. C. Wu, and C. Chang-Hasnain, " Low loss hollow-core waveguide on a silicon substrate ," Nanophotonics , vol. 1, no. 1, pp. 23--29, Jan. 2012. Y. Zhou, M. C. Y. Huang, and C. Chang-Hasnain, " Tunable VCSEL with ultra-thin high contrast grating for high-speed tuning ," Optics Express , vol. 16, no. 18, pp. 14221-14226, Sep. 2008. M. Moewe, L. C. Chuang, V. G. Dubrovskii, and C. Chang-Hasnain, " Growth mechanisms and crystallographic structure of InP nanowires on lattice-mismatched substrates ," J. Applied Physics , vol. 104, no. 4, pp. 044313-1-4, Aug. 2008. M. C. Y. Huang, K. B. Cheng, Y. Zhou, A. Pisano, and C. Chang-Hasnain, " Monolithic integrated piezoelectric MEMS-tunable VCSEL ," IEEE J. Selected Topics in Quantum Electronics , vol. 13, no. 2, pp. 374-380, March 2007. E. Wong, X. Zhao, C. Chang-Hasnain, W. Hofmann, and M. C. Amann, " Rayleigh backscattering and extinction ratio study of optically injection-locked 1.55 mu m VCSELs ," Electronics Letters , vol. 43, no. 3, pp. 182-183, Feb. 2007. R. S. Tucker, P. Ku, and C. Chang-Hasnain, " Slow-light optical buffers: capabilities and fundamental limitations ," J. Lightwave Technology , vol. 23, no. 12, pp. 4046-4066, Dec. 2005. C. F. R. Mateus, M. C. Y. Huang, Y. Deng, A. R. Neureuther, and C. Chang-Hasnain, " Ultrabroadband mirror using low-index cladded subwavelength grating ," IEEE Photonics Technology Letters , vol. 16, no. 2, pp. 518-520, Feb. 2004. B. T. Cunningham, P. Y. Li, C. Chang-Hasnain, and C. Mateus, "Detection of biochemical interactions on a biosensor using tunable filters and tunable lasers," U.S. Patent Application. May 2003. C. Chang-Hasnain, " Tunable VCSEL ," IEEE J. Selected Topics in Quantum Electronics , vol. 6, no. 6, pp. 978-987, Nov. 2000. W. Yuen, G. S. Li, R. F. Nabiev, J. Boucart, P. Kner, R. J. Stone, D. Zhang, M. Beaudoin, T. Zheng, C. He, K. Yu, M. Jansen, D. P. Worland, and C. Chang-Hasnain, " High-performance 1.6-mu m single-epitaxy top-emitting VCSEL ," Electronics Letters , vol. 36, no. 13, pp. 1121-1123, June 2000. C. J. Chang-Hasnain, E. C. Vail, and M. S. Wu, " High performance micromechanical tunable vertical cavity surface emitting laser ," U.S. Patent 5,771,253. June 1998. E. C. Vail, M. S. Wu, G. S. Li, L. Eng, and C. Chang-Hasnain, " GaAs micromachined widely tunable Fabry-Perot filters ," Electronics Letters , vol. 31, no. 3, pp. 228-229, Feb. 1995. C. Chang-Hasnain, J. P. Harbison, G. Hasnain, A. C. Von Lehmen, L. T. Florez, and N. G. Stoffel, " Dynamic, polarization, and transverse mode characteristics of vertical cavity surface emitting lasers ," IEEE J. Quantum Electronics , vol. 27, no. 6, pp. 1402-1409, June 1991. C. Chang-Hasnain, J. Berger, D. R. Scifres, W. Streifer, J. R. Whinnery, and A. Dienes, " High power with high efficiency in a narrow single-lobed beam from a diode laser array in an external cavity ," Applied Physics Letters , vol. 50, no. 21, pp. 1465-1467, May 1987. C. Chang-Hasnain, D. F. Welch, D. R. Scifres, J. R. Whinnery, A. Dienes, and R. D. Burnham, " Diffraction-limited emission from a diode laser array in an apertured graded-index lens external cavity ," Applied Physics Letters , vol. 49, no. 11, pp. 614-616, Sep. 1986. . Awards, Memberships and Fellowships National Academy of Inventors (NAI) Fellow , 2018 Okawa Prize , 2018 National Academy of Engineering (NAE) Member , 2018 UNESCO Medal for the Development of Nanosciences and Nanotechnologies , 2015 Quantum Device Award , 2014 Pan Wen-Yuan Foundation Outstanding Research Award , 2013 IEEE David Sarnoff Award , 2011 Max Planck Research Award , 2009 Guggenheim Fellow , 2009 Microoptics Award , 2009 Humboldt Research Award , 2009 National Security Science and Engineering Faculty (NSSEF) Fellow , 2008 Nick Holonyak Jr. Award , 2007 NAE Gilbreth Lectureship , 2005 William Streifer Scientific Achievement Award , 2003 James H. McGraw Award , 1999 Institute of Electrical & Electronics Engineers (IEEE) Fellow , 1997 Optical Society of America (OSA) Fellow , 1997 NSF Presidential Faculty Fellow (PFF) , 1994 Sloan Research Fellow , 1994 IEEE Photonics Society Distinguished Lecturer , 1994 Packard Fellow in Science and Engineering , 1992 IEEE-HKN Outstanding Young Professional Award , 1991 . diff --git a/src/data/compiled_bios/3523.txt b/src/data/compiled_bios/3523.txt new file mode 100644 index 0000000000..57ee41d3b0 --- /dev/null +++ b/src/data/compiled_bios/3523.txt @@ -0,0 +1 @@ +Leon O. Chua: Contact Information 564 Cory Hall tel: 510-642-3209 chua@eecs.berkeley.edu : Research Areas Biosystems & Computational Biology (BIO) Control, Intelligent Systems, and Robotics (CIR) , Cellular neural networks; Cellular automata; Complexity; Nanoelectronics Nonlinear circuits and systems; Nonlinear dynamics; Chaos; . . . Biography He received his M, 1961 and Ph.D., 1964 degrees from the MIT and the University of Illinois at Champaign-Urbana, respectively. He became an Assistant Professor of Electrical Engineering at Purdue University in 1964, and was promoted to Associate Professor in 1967. He joined the UC Berkeley in 1970. He is the first recipient of the 2005 Gustav Kirchhoff Award, the highest IEEE Technical Field Award for outstanding contributions to the fundamentals of any aspect of electronic circuits and systems that has a long term significance or impact. He was also awarded the prestigious IEEE Neural Networks Pioneer Award in 2000 for his contributions in neural networks. He was elected a Fellow of the IEEE in 1974 and has received many international prizes, including the IEEE Browder J. Thompson Memorial Prize in 1972, the IEEE W. R. G. Baker Prize in 1978, the Frederick Emmons Award in 1974, the M. E. Van Valkenhurg Award in 1995, and again in 1998. He was awarded 7 USA patents and 8 Honorary doctorates (Doctor Honoris Causa) from major European universities and Japan. He is also a recipient of the top 15 cited authors in Engineering award in 2002, chosen from the Current Contents (ISI) database of all cited papers in the engineering disciplines in the citation index from 1991 to October 31, 2001, from all branches of engineering. He was elected a foreign member of the European Academy of Sciences (Academia Europea) in 1997. . . Selected Publications R. Lum and L. O. Chua, " How to represent continuous piecewise linear functions in closed form ," Intl J. Circuit Theory and Applications , vol. 34, no. 6, pp. 617-635, Nov. 2006. L. O. Chua, " Local activity is the origin of complexity ," Intl. J. Bifurcation and Chaos , vol. 15, no. 11, pp. 3435-3456, Nov. 2005. H. Kim, H. Son, T. Roska, and L. O. Chua, " High-performance Viterbi decoder with circularly connected 2-D CNN unilateral cell array ," IEEE Trans. Circuits and Systems I: Fundamental Theory and Applications , vol. 52, no. 10, pp. 2208-2218, Oct. 2005. H. Son, H. Kim, J. Choi, J. W. Lee, and L. O. Chua, " Maximum likelihood decoding of the partial response signal with analog parallel processing circuits of the CNN ," in Proc. 2005 IEEE 9th Intl. Workshop on Cellular Neural Networks and Their Applications , T. Roska, B. E. Shi, Z. Chen, C. Lin, C. Rekeczky, and J. Yang, Eds., Piscataway, NJ: IEEE Press, 2005, pp. 134-137. H. Kim, T. Oh, M. S. Lim, and L. O. Chua, " Nonlinear pattern classification associated with cellular neural networks-based dynamic programming ," Intl. J. Bifurcation and Chaos in Applied Sciences and Engineering , vol. 15, no. 1, pp. 169-179, Jan. 2005. M. Itoh and L. O. Chua, " Multipurpose hysteresis CNN ," Intl. J. Bifurcation and Chaos in Applied Sciences and Engineering , vol. 14, no. 12, pp. 4035-4073, Dec. 2004. L. O. Chua, V. I. Sbitnev, and S. Yoon, " A nonlinear dynamics perspective of Wolfram's New Kind of Science. Part III: Predicting the unpredictable ," Intl. J. Bifurcation and Chaos in Applied Sciences and Engineering , vol. 14, no. 11, pp. 3689-3820, Nov. 2004. S. Li, P. Mazumder, and L. O. Chua, " Cellular neural/nonlinear networks using resonant tunneling diode ," in Proc. 2004 4th IEEE Conf. on Nanotechnology , Piscataway, NJ: IEEE Press, 2004, pp. 164-167. M. Itoh and L. O. Chua, " Structurally stable two-cell cellular neural networks ," Intl. J. Bifurcation and Chaos in Applied Sciences and Engineering , vol. 14, no. 8, pp. 2579-2653, Aug. 2004. M. Itoh and L. O. Chua, " Star cellular neural networks for associative and dynamic memories ," Intl. J. Bifurcation and Chaos in Applied Sciences and Engineering , vol. 14, no. 5, pp. 1725-1772, May 2004. Y. Tian, X. Yu, and L. O. Chua, " Time-delayed impulsive control of chaotic hybrid systems ," Intl. J. Bifurcation and Chaos in Applied Sciences and Engineering , vol. 14, no. 3, pp. 1091-1104, March 2004. M. Itoh and L. O. Chua, " Designing CNN genes ," Intl. J. Bifurcation and Chaos in Applied Sciences and Engineering , vol. 13, no. 10, pp. 2739-2824, Oct. 2003. L. O. Chua, V. I. Sbitnev, and S. Yoon, " A nonlinear dynamics perspective of Wolfram's New Kind of Science. Part II: Universal neuron ," Intl. J. Bifurcation and Chaos in Applied Sciences and Engineering , vol. 13, no. 9, pp. 2377-2491, Sep. 2003. T. Roska and L. O. Chua, " The CNN Universal Machine: 10 years later ," J. Circuits, Systems and Computers , vol. 12, no. 4, pp. 377-388, Aug. 2003. H. Kim, T. Roska, L. O. Chua, and F. Werblin, " Bpa100 Bluetooth protocol analyzerAutomatic detection and tracking of moving image target with CNN-UM via target probability fusion of multiple features ," Intl. J. Circuit Theory and Applications , vol. 31, no. 4, pp. 329-346, July 2003. L. O. Chua and T. Roska, Cellular Neural Networks and Visual Computing: Foundation and Applications , Cambridge, UK: Cambridge University Press, 2002. L. O. Chua, CNN: A Paradigm for Complexity , World Scientific Series on Nonlinear Science (Series A), Vol. 31, Singapore: World Scientific Publishing Company, 1998. L. O. Chua and L. Yang, " Cellular neural networks: Theory ," IEEE Trans. Circuits and Systems , vol. 35, no. 10, pp. 1257-1272, Oct. 1988. L. O. Chua, M. Komuro, and T. Matsumoto, " The double scroll family ," IEEE Trans. Circuits and Systems , vol. 33, no. 11, pp. 1072-1118, Nov. 1986. L. O. Chua, Introduction to Nonlinear Network Theory , McGraw-Hill Series in Electronic Systems, New York, NY: McGraw-Hill, 1969. . Awards, Memberships and Fellowships Guggenheim Fellow , 2010 Vitold Belevitch Circuits and Systems Award , 2007 IEEE Gustav Robert Kirchhoff Award , 2005 CASS 2000 Millennium Medal , 2000 Neural Networks Pioneer Award , 2000 CASS Mac E. Van Valkenburg Award , 1998 CASS Mac E. Van Valkenburg Award , 1995 Charles A. Desoer Technical Achievement Award , 1993 Guillemin-Cauer Best Paper Award , 1989 Guillemin-Cauer Best Paper Award , 1985 Institute of Electrical & Electronics Engineers (IEEE) Fellow , 1974 Frederick Emmons Terman Award of the Electrical and Computer Engineering Division , 1974 IEEE W. R. G. Baker Prize Paper Award , 1973 Guillemin-Cauer Best Paper Award , 1972 IEEE Browder J. Thompson Memorial Prize Paper Award , 1967 . diff --git a/src/data/compiled_bios/3524.txt b/src/data/compiled_bios/3524.txt new file mode 100644 index 0000000000..551a8452d0 --- /dev/null +++ b/src/data/compiled_bios/3524.txt @@ -0,0 +1 @@ +John Chuang: Contact Information 303A South Hall fax: 642-5814 chuang@ischool.berkeley.edu : Research Areas Biosystems & Computational Biology (BIO) Communications & Networking (COMNET) Operating Systems & Networking (OSNT) Security (SEC) Biosensory Computing Information Economics & Policy . Research Centers Center for Information Technology Research in the Interest of Society - The Banatao Institute (CITRIS) . . Biography John Chuang is a Full Professor at the School of Information, with an affiliate appointment in EECS. His research interests are in biosensory computing (brainwave authentication, human factors in wearable computing) and information economics and policy (network economics, peer production, security and privacy). He is Co-Director of the BioSENSE Lab, a multidisciplinary research team studying the application potentials and stewardship challenges of ubiquitous biosensing technologies. He is also affiliated with the Center for Long-Term Cybersecurity (CLTC), the Berkeley Institute for Data Science (BIDS), and the Team for Research in Ubiquitous Secure Technology (TRUST). He received his Ph.D. in Engineering and Public Policy from Carnegie Mellon University, M.S. in Electrical Engineering from Stanford University, and graduated summa cum laude in Electrical Engineering from the University of Southern California. . Education 1998, Ph.D., Engineering and Public Policy, Carnegie Mellon University 1997, M.S., Engineering and Public Policy, Carnegie Mellon University 1992, M.S., Electrical Engineering, Stanford University 1991, B.S., Electrical Engineering, University of Southern California . . . diff --git a/src/data/compiled_bios/3525.txt b/src/data/compiled_bios/3525.txt new file mode 100644 index 0000000000..0200988d24 --- /dev/null +++ b/src/data/compiled_bios/3525.txt @@ -0,0 +1 @@ +Steven Conolly: Contact Information 340 Hearst Memorial Mining Building tel: (510) 642-3420 fax: (510) 642-5835 sconolly@berkeley.edu : Research Areas Biosystems & Computational Biology (BIO) , Medical Imaging hardware & Software Signal Processing (SP) , Medical Imaging hardware & software . . . Biography Dr. Conolly is a Full Professor of Bioengineering and Electrical Engineering and Computer Sciences at UC Berkeley, where he holds the Montford G. Cook Endowed Chair. He was elected Chair of the UC Berkeley-UCSF Joint Graduate Group in Bioengineering from 2006-2009. He currently serves as Vice Chair of Instruction in BioE at UC Berkeley. Dr. Conolly specializes in medical imaging and biosensing hardware, with a focus on Magnetic Particle Imaging and Magnetic Resonance Imaging. His research group has built all of the Magnetic Particle Imaging scanners now in the USA. MPI shows extraordinary promise as a safe, noninvasive, and quantitative imaging method. MPI biomedical applications include stem cell tracking, perfusion imaging, angiography and cancer imaging. Prof. Conolly has won research support from CIRM, NIH and UC Discovery, the Siebel Foundation and the Keck Foundation. He received his B.S in Electrical Engineering from Boston University, and his M.S. and Ph.D. in Electrical Engineering from Stanford University. Dr. Conolly has 30 patents in various stages of approval, and more than half of these have been licensed by industry. In 2004, Prof. Conolly was a recipient of the prestigious Stanford's Outstanding Inventor award. . Education 1989, PhD, Electrical Engineering, Stanford University . . Awards, Memberships and Fellowships Bakar Fellow , 2018 American Institute for Medical and Biological Engineering (AIMBE) Fellow , 2015 NAE Gilbreth Lectureship , 2006 Stanford's Outstanding Inventor Award , 2004 . diff --git a/src/data/compiled_bios/3526.txt b/src/data/compiled_bios/3526.txt new file mode 100644 index 0000000000..84ca5b3769 --- /dev/null +++ b/src/data/compiled_bios/3526.txt @@ -0,0 +1 @@ +Thomas Courtade: Contact Information 265 Cory Hall tel: 510-643-0359 courtade@eecs.berkeley.edu : Research Areas Communications & Networking (COMNET) Theory (THY) Artificial Intelligence (AI) Biosystems & Computational Biology (BIO) Control, Intelligent Systems, and Robotics (CIR) Information Theory . Research Centers Berkeley Laboratory for Information and System Sciences (BLISS) . . Biography Thomas Courtade is an Assistant Professor in the Department of Electrical Engineering and Computer Sciences. Before joining Berkeley in 2014, Thomas was at Stanford University, where he was supported by a postdoctoral fellowship through the NSF Center for Science of Information. He graduated summa cum laude with a B.Sc. in Electrical Engineering from Michigan Technological University in 2007, and received his M.Sc. and Ph.D. degrees in Electrical Engineering from UCLA in 2008 and 2012, respectively. Thomas' research interests lie in the intersection of information theory and computer science, and he focuses on problems and applications therein. . Education 2012, Ph.D., Electrical Engineering, University of California, Los Angeles 2008, M.Sc., Electrical Engineering, University of California, Los Angeles 2007, B.Sc., Electrical Engineering, Michigan Technological University . Selected Publications T. Courtade, " See personal webpage for up to date publication list. ," Jan. 2014. . Awards, Memberships and Fellowships Hellman Fellow , 2016 . diff --git a/src/data/compiled_bios/3527.txt b/src/data/compiled_bios/3527.txt new file mode 100644 index 0000000000..8f29c5317e --- /dev/null +++ b/src/data/compiled_bios/3527.txt @@ -0,0 +1 @@ +Trevor Darrell: Contact Information 748 Sutardja Dai Hall trevor@eecs.berkeley.edu : Research Areas Artificial Intelligence (AI) Control, Intelligent Systems, and Robotics (CIR) Computer Vision . Research Centers CITRIS People and Robots (CPAR) International Computer Science Institute (ICSI) Berkeley Artificial Intelligence Research Lab (BAIR) Berkeley Deep Drive (BDD) Partners for Advanced Transit and Highways (PATH) . Teaching Schedule Spring 2019 CS 294-43. Visual Object and Activity Recognition , We 3:00PM - 3:59PM, CS 294-131. Special Topics in Deep Learning , Mo 4:00PM - 5:29PM, Soda 306 . Biography Professor Darrell is on the faculty of the CS Division at UC Berkeley. His group develops algorithms to enable visual recognition across a variety of platforms and applications. His interests include computer vision, machine learning, computer graphics, and perception-based human computer interfaces. Prof. Darrell was on the faculty of the MIT EECS department from 1999-2008, where he directed the Vision Interface Group. He was a member of the research staff at Interval Research Corporation from 1996-1999, and received the S.M. and Ph.D. degrees from MIT in 1992 and 1996, respectively. He obtained the B.S.E. degree from the University of Pennsylvania in 1988, having started his career in computer vision as an undergraduate researcher in Ruzena Bajcsys GRASP lab. . Education 1996, PhD, MAS, MIT 1988, BSE, CS, U.Penn. . Selected Publications S. Karayev, M. Fritz, and T. Darrell, " Dynamic Feature Selection for Classification on a Budget ," in ICML-W , 2013. S. Karayev, T. Baumgartner, M. Fritz, and T. Darrell, " Timely Object Recognition ," in NIPS , 2012. J. Hoffman, B. Kulis, T. Darrell, and K. Saenko, "Discovering Latent Domains for Multisource Domain Adaptation," in European Conference Computer Vision (ECCV) , T. Darrell, Ed., 2012. . Awards, Memberships and Fellowships ICCV Helmholtz Prize , 2017 PAMI Mark Everingham Prize , 2017 IEEE ICRA Best Paper Award in Cognitive Robotics , 2013 . diff --git a/src/data/compiled_bios/3528.txt b/src/data/compiled_bios/3528.txt new file mode 100644 index 0000000000..c4993f635c --- /dev/null +++ b/src/data/compiled_bios/3528.txt @@ -0,0 +1 @@ +Prabal Dutta: Contact Information 550C Cory Hall prabal@berkeley.edu : Research Areas Computer Architecture & Engineering (ARC) Cyber-Physical Systems and Design Automation (CPSDA) Energy (ENE) Operating Systems & Networking (OSNT) . Research Centers SWARM Lab Industrial Cyber-Physical Systems Center (iCyPhy) . Teaching Schedule Spring 2019 EE 375. Teaching Techniques for Electrical Engineering , Tu 5:00PM - 6:59PM, Cory 540AB . . Education 2009, PhD, Computer Science, University of California, Berkeley 1997, B.S., Electrical and Computer Engineering, Ohio State University . . Awards, Memberships and Fellowships Sloan Research Fellow , 2017 NSF Faculty Early Career Development Award (CAREER) , 2014 Brilliant 10 , 2014 . diff --git a/src/data/compiled_bios/3529.txt b/src/data/compiled_bios/3529.txt new file mode 100644 index 0000000000..26d4fe3cc2 --- /dev/null +++ b/src/data/compiled_bios/3529.txt @@ -0,0 +1 @@ +Alexei (Alyosha) Efros: Contact Information 724 Sutardja Dai Hall efros@eecs.berkeley.edu : Research Areas Artificial Intelligence (AI) Graphics (GR) Computer Vision . Research Centers Berkeley Artificial Intelligence Research Lab (BAIR) Visual Computing Lab (VCL) Berkeley Deep Drive (BDD) . Teaching Schedule Spring 2019 CS C280. Computer Vision , WeFr 10:00AM - 11:29AM, Soda 306 . Biography Alexei (Alyosha) Efros joined UC Berkeley in 2013. Prior to that, he was nine years on the faculty of Carnegie Mellon University, and has also been affiliated with cole Normale Suprieure/INRIA and University of Oxford. His research is in the area of computer vision and computer graphics, especially at the intersection of the two. He is particularly interested in using data-driven techniques to tackle problems where large quantities of unlabeled visual data are readily available. Efros received his PhD in 2003 from UC Berkeley. He is a recipient of CVPR Best Paper Award (2006), NSF CAREER award (2006), Sloan Fellowship (2008), Guggenheim Fellowship (2008), Okawa Grant (2008), Finmeccanica Career Development Chair (2010), SIGGRAPH Significant New Researcher Award (2010), ECCV Best Paper Honorable Mention (2010), 3 Helmholtz Test-of-Time Prizes (1999,2003,2005), and the ACM Prize in Computing (2016). . Education 2003, PhD, Computer Science, UC Berkeley 1997, BS, Computer Science, University of Utah . . Awards, Memberships and Fellowships ICCV Helmholtz Prize , 2017 ACM Prize in Computing , 2016 ICCV Helmholtz Prize , 2013 ACM SIGGRAPH Significant New Researcher Award , 2010 NSF Faculty Early Career Development Award (CAREER) , 2010 Okawa Research Grant , 2008 Sloan Research Fellow , 2008 Guggenheim Fellow , 2008 NSF Faculty Early Career Development Award (CAREER) , 2006 CVPR Best Paper Award , 2006 . diff --git a/src/data/compiled_bios/353.txt b/src/data/compiled_bios/353.txt new file mode 100644 index 0000000000..b60d4fff49 --- /dev/null +++ b/src/data/compiled_bios/353.txt @@ -0,0 +1 @@ +Name: Hao, Shuang:: Position: Assistant Professor:: Degrees: Ph.D., Georgia Institute of Technology; Research Interests: Network Security; Large-scale Measurement; Anomaly Detection; Underground Economics; Major Honors and Awards: Yahoo! Key Scientific Challenges Program Award; Representative Publications: Haizhong Zheng, Minhui Xue, Hao Lu, Shuang Hao, Haojin Zhu, Xiaohui Liang, and Keith Ross. Smoke Screener or Straight Shooter: Detecting Elite Sybil Attacks in User-Review Social Networks. In Proceedings of the Network and Distributed System Security Symposium (NDSS), San Diego, CA, February 2018.; Jake Corina, Aravind Machiry, Christopher Salls, Yan Shoshitaishvili, Shuang Hao, Christopher Kruegel, and Giovanni Vigna. DIFUZE: Interface Aware Fuzzing for Kernel Drivers. In Proceedings of the 24th ACM Conference on Computer and Communications Security (CCS), Dallas, TX, October 2017.; Shuang Hao, Alex Kantchelian, Brad Miller, Vern Paxson, and Nick Feamster. PREDATOR: Proactive Recognition and Elimination of Domain Abuse at Time-Of-Registration. In Proceedings of the 23rd ACM Conference on Computer and Communications Security (CCS), Vienna, Austria, October 2016.; Xiaojing Liao, Sumayah Alrwais, Kan Yuan, Luyi Xing, XiaoFeng Wang, Shuang Hao, and Raheem Beyah. Lurking Malice in the Cloud: Understanding and Detecting Cloud Repository as a Malicious Service. In Proceedings of the 23rd ACM Conference on Computer and Communications Security (CCS), Vienna, Austria, October 2016.; Shuang Hao, Kevin Borgolte, Nick Nikiforakis, Gianluca Stringhini, Manuel Egele, Michael Eubanks, Brian Krebs, and Giovanni Vigna. Drops for Stuff: An Analysis of Reshipping Mule Scams. In Proceedings of the 22nd ACM Conference on Computer and Communications Security (CCS), Denver, CO, October 2015.; diff --git a/src/data/compiled_bios/3530.txt b/src/data/compiled_bios/3530.txt new file mode 100644 index 0000000000..8fa2ab78d6 --- /dev/null +++ b/src/data/compiled_bios/3530.txt @@ -0,0 +1 @@ +Laurent El Ghaoui: Contact Information 421 Sutardja Dai Hall elghaoui@eecs.berkeley.edu : Research Areas Control, Intelligent Systems, and Robotics (CIR) Robust and convex optimization; Decision-making under uncertainty; Statistical estimation; Air traffic management; Bioinformatics; Finance . Research Centers Berkeley Center for New Media (BCNM) Industrial Engineering and Operations Research (IEOR) Berkeley Artificial Intelligence Research Lab (BAIR) . . Biography I graduated from Ecole Polytechnique (Palaiseau, France) in 1985, and obtained my Ph.D. in Aeronautics and Astronautics at Stanford University in March 1990. I was a faculty member at the Ecole Nationale Suprieure de Techniques Avances (Paris, France) from 1992 until 1999 and held part-time teaching appointments at Ecole Polytechnique in the Applied Mathematics Department and at Universit de Paris-I (La Sorbonne) in the Mathematics in Economy Program. In 1998, I was awarded the Bronze Medal for Engineering Sciences, from the Centre National de la Recherche Scientifique, France. I joined the UC Berkeley faculty in April 1999 as an Acting Associate Professor, and obtained my tenure in May 2001. I was on leave from UC from July 2003 to 2006 to work for SAC Capital Management, a hedge fund based in New York and Connecticut. . Education 1990, Ph.D., Aeronautics and Astronautics, Stanford 1985, B.S., Mathematics, Ecole Polytechnique . Selected Publications A. d'Aspremont and L. El Ghaoui, " A semidefinite relaxation for air traffic flow scheduling ," in Proc. 2007 IEEE Intl. Conf. on Research, Innovation and Vision for the Future (RIVF '07): Information and Communication Technologies , Piscataway, NJ: IEEE Press, 2007, pp. 103-107. O. Banerjee, L. El Ghaoui, A. d'Aspremont, and G. Natsoulis, " Convex Optimization Techniques for Fitting Sparse Gaussian Graphical Models ," in ICML 2006 , 2006, pp. 12--18. G. C. Calafiore and L. El Ghaoui, " On distributionally robust chance-constrained linear programs ," J. Optimization Theory and Applications , vol. 130, no. 1, pp. 1-22, July 2006. A. d'Aspremonte and L. El Ghaoui, " Static arbitrage bounds on basket option prices ," Mathematical Programming, Series A , vol. 106, no. 3, pp. 467-489, May 2006. G. Natsoulis, L. El Ghaoui, G. R. G. Lanckriet, A. M. Tolley, F. Leroy, S. Dunlea, B. P. Eynon, C. I. Pearson, S. Tugendreich, and K. Jarnagin, " Classification of a large microarray data set: Algorithm comparison and analysis of drug signatures ," Genome Research , vol. 15, no. 5, pp. 724-736, Dec. 2005. A. Nilim and L. El Ghaoui, " Robust control of Markov decision processes with uncertain transition matrices ," Operations Research , vol. 53, no. 5, pp. 780-798, Sep. 2005. C. Bhattacharyya, L. R. Grate, M. Jordan, and L. El Ghaoui, " Robust sparse hyperplane classifiers: Application to uncertain molecular profiling data ," J. Computational Biology , vol. 11, no. 6, pp. 1073-1089, Dec. 2004. A. Abate and L. El Ghaoui, " Robust model predictive control through adjustable variables: An application to path planning ," in Proc. 43rd IEEE Conf. on Decision and Control (CDC '04) , Vol. 3, Piscataway, NJ: IEEE Press, 2004, pp. 2485-2490. A. Nilim and L. El Ghaoui, " Algorithms for air traffic flow management under stochastic environments ," in Proc. 2004 American Control Conf. , Vol. 4, Piscataway, NJ: IEEE Press, 2004, pp. 3429-3434. G. Calafiore and L. El Ghaoui, " Ellipsoidal bounds for uncertain linear equations and dynamical systems ," Automatica , vol. 40, no. 5, pp. 773-787, May 2004. L. El Ghaoui, M. Oks, and F. Oustry, " Worst-case value-at-risk and robust portfolio optimization: A conic programming approach ," Operations Research , vol. 51, no. 4, pp. 543-556, July 2003. G. R. G. Lanckriet, L. El Ghaoui, C. Bhattacharyya, and M. Jordan, " A robust minimax approach to classification ," The J. of Machine Learning , vol. 3, pp. 555-582, March 2003. A. Nilim, L. El Ghaoui, and V. Duong, " Robust dynamic routing of aircraft under uncertainty ," in Proc. 21st Digital Avionics Systems Conf. (DASC 2002) , Vol. 1, Piscataway, NJ: IEEE Press, 2002, pp. 1A5-1-13. L. El Ghaoui and G. Calafiore, " Robust filtering for discrete-time systems with bounded noise and parametric uncertainty ," IEEE Trans. Automatic Control , vol. 46, no. 7, pp. 1084-1089, July 2001. L. Doherty, K. Pister, and L. El Ghaoui, " Convex position estimation in wireless sensor networks ," in Proc. 20th Annual Joint Conf. of the IEEE Computer and Communications Society (INFOCOM 2001) , Vol. 3, Piscataway, NJ: IEEE Press, 2001, pp. 1655-1663. L. Schenato, W. Wu, L. El Ghaoui, and K. Pister, " Process variation analysis for MEMS design ," in Proc. SPIE: Smart Electronics and MEMS II , D. Abbott, V. K. Varadan, and K. F. Boehringer, Eds., Vol. 4236, Bellingham, WA: SPIE, 2001, pp. 264-271. J. Chou, S. S. Pradhan, L. El Ghaoui, and K. Ramchandran, " Watermarking based on duality with distributed source coding and robust optimization principles ," in Proc. 2000 Intl. Conf. on Image Processing , Vol. 1, Piscataway, NJ: IEEE Press, 2000, pp. 585-588. J. C. Chou, S. S. Pradhan, L. El Ghaoui, and K. Ramchandran, " Robust optimization solution to the data hiding problem using distributed source coding principles ," in Proc. SPIE: Image and Video Communications and Processing 2000 , B. Vasudev, T. R. Hsing, A. G. Tescher, and R. L. Stevenson, Eds., Vol. 3974, Bellingham, WA: SPIE, 2000, pp. 270-279. L. El Ghaoui and H. Lebret, " Robust solutions to least-squares problems with uncertain data ," SIAM J. Matrix Analysis and Applications , vol. 18, no. 4, pp. 1035-1064, Oct. 1997. L. El Ghaoui, F. Oustry, and M. AitRami, " A cone complementarity linearization algorithm for static output-feedback and related problems ," IEEE Trans. Automatic Control , vol. 42, no. 8, pp. 1171-1176, Aug. 1997. . Awards, Memberships and Fellowships SIAM Activity Group Optimization Prize , 2008 Okawa Research Grant , 2001 NSF Faculty Early Career Development Award (CAREER) , 2000 CNRS Bronze Medal , 1998 . diff --git a/src/data/compiled_bios/3531.txt b/src/data/compiled_bios/3531.txt new file mode 100644 index 0000000000..d586a5a878 --- /dev/null +++ b/src/data/compiled_bios/3531.txt @@ -0,0 +1 @@ +Ronald S. Fearing: Contact Information 725 Sutardja Dai Hall tel: 510-642-9193 : Research Areas Control, Intelligent Systems, and Robotics (CIR) Biosystems & Computational Biology (BIO) . Research Centers Robotics and Intelligent Machines Laboratory Biomimetic Millisystems Lab Center for Interdisciplinary Biological Inspiration in Education and Research (CiBER) Berkeley Artificial Intelligence Research Lab (BAIR) CITRIS People and Robots (CPAR) . Teaching Schedule Spring 2019 EE 192. Mechatronic Design Laboratory , Tu 5:00PM - 6:29PM, Wheeler 202 . Biography Ronald Fearing is a professor in the Dept. of Electrical Engineering and Computer Sciences at Univ. of California, Berkeley, which he joined in Jan. 1988. His current research interests are in milli-robotics, including flying and crawling milli-robots, parallel nano-grasping (gecko adhesion), micro-assembly, and rapid prototyping. He has worked in tactile sensing, teletaction, and dextrous manipulation. He has a Ph.D. from Stanford in EE (1988) and S.B. and S.M. in EECS from MIT (1983). He received the Presidential Young Investigator Award in 1991 and is the co-inventor on 18 US and international patents. . Education 1988, Ph.D., Electrical Engineering, Stanford University 1983, S.B. and S.M., Electrical Engineering Computer Science, MIT . Selected Publications B. Nemsick, A. Buchan, A. Nagabandi, R. S. Fearing, and A. Zakhor, " Cooperative Inchworm Localization with a Low Cost Team ," in International Conference on Robotics and Automation (ICRA) , 2017. A. Buchan, D. Haldane, and R. S. Fearing, "Automatic identification of dynamic piecewise affine models for a running robot," in Intelligent Robots and Systems (IROS), 2013 IEEE/RSJ International Conference on , 2013, pp. 5600-5607. A. Buchan, J. Bachrach, and R. S. Fearing, "Towards a minimal architecture for a printable, modular, and robust sensing skin," in Intelligent Robots and Systems (IROS), 2012 IEEE/RSJ International Conference on , 2012, pp. 33-38. E. Steltz, M. Seeman, S. Avadhanula, and R. S. Fearing, " Power electronics design choice for piezoelectric microrobots ," in Proc. 2006 IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems , Piscataway, NJ: IEEE Press, 2006, pp. 1322-1328. K. Autumn, C. Majidi, R. E. Groff, A. Dittmore, and R. S. Fearing, " Effective elastic modulus of isolated gecko setal arrays ," J. Experimental Biology , vol. 209, no. 18, pp. 3558-3568, Sep. 2006. C. Majidi, R. E. Groff, Y. Maeno, B. Schubert, S. Baek, B. Bush, R. Maboudian, N. Gravish, M. Wilkinson, K. Autumn, and R. S. Fearing, " High friction from a stiff polymer using microfiber arrays ," Physical Review Letters , vol. 97, no. 7, pp. 076103-1-4, Aug. 2006. M. Spenko, M. Cutkosky, C. Majidi, R. S. Fearing, R. Groff, and K. Autumn, " Foot design and integration for bioinspired climbing robots ," in Proc. SPIE: Unmanned Systems Technology VIII , G. R. Gerhart, C. M. Shoemaker, and D. W. Gage, Eds., Vol. 6230, Bellingham, WA: SPIE, 2006, pp. 19-1-12. A. M. Hoover, S. Avadhanula, R. E. Groff, and R. S. Fearing, " A rapidly prototyped 2-axis positioning stage for microassembly using large displacement compliant mechanisms ," in Proc. 2006 IEEE Intl. Conf. on Robotics and Automation , Piscataway, NJ: IEEE Press, 2006, pp. 289-295. R. Sahai, S. Avadhanula, R. Groff, E. Steltz, R. Wood, and R. S. Fearing, " Towards a 3g crawling robot through the integration of microrobot technologies ," in Proc. 2006 Intl. Conf. on Robotics and Automation (CRA 2006) , Piscataway, NJ: IEEE Press, 2006, pp. 296-302. R. J. Wood, S. Avadhanula, E. Steltz, M. Seeman, J. Entwistle, A. Bachrach, G. Barrows, S. R. Sanders, and R. S. Fearing, " Design, fabrication and initial results of a 2g autonomous glider ," in Proc. 31st Annual Conf. of the IEEE Industrial Electronics Society (IECON 2005) , Piscataway, NJ: IEEE Press, 2005, pp. 1870-1877. C. S. Majidi, R. E. Groff, and R. S. Fearing, " Attachment of fiber array adhesive through side contact ," J. Applied Physics , vol. 98, no. 10, pp. 103521-1-5, Nov. 2005. R. J. Wood, E. Steltz, and R. S. Fearing, "Optimal energy density piezoelectric bending actuators," Sensors and Actuators A , vol. 119, no. 2, pp. 476-488, April 2005. C. Majidi, R. Groff, and R. S. Fearing, " Clumping and packing of hair arrays manufactured by nanocasting ," in Proc. 2004 ASME Intl. Mechanical Engineering Congress & Exposition (IMECE '04)--Winter Meeting , New York, NY: ASME, 2004, pp. 6 pp. J. Yan and R. S. Fearing, " Wing force map characterization and simulation for the micromechanical flying insect ," in Proc. 2003 IEEE/RSJ Intl. Conf. on Intelligent Robots and Systems (IROS 2003) , Vol. 2, Piscataway, NJ: IEEE Press, 2003, pp. 1343-1349. W. Wu, L. Shenato, R. J. Wood, and R. S. Fearing, " Biomimetic sensor suite for flight control of a micromechanical flying insect: Design and experimental results ," in Proc. 2003 IEEE Intl. Conf. on Robotics and Automation (ICRA 2003) , Vol. 1, Piscataway, NJ: IEEE Press, 2003, pp. 1146-1151. R. J. Wood, S. Avadhanula, M. Menon, and R. S. Fearing, " Microrobotics using composite materials: The micromechanical flying insect thorax ," in Proc. IEEE Intl. Conf. on Robotics and Automation , Vol. 2, Piscataway, NJ: IEEE Press, 2003, pp. 1842-1849. M. Sitti and R. S. Fearing, " Synthetic gecko foot-hair micro/nano-structures as dry adhesives ," J. Adhesion Science and Technology , vol. 17, no. 8, pp. 1055-1073, Aug. 2003. D. Campolo, M. Sitti, and R. S. Fearing, " Efficient charge recovery method for driving piezoelectric actuators with quasi-square waves ," IEEE Trans. Ultrasonics, Ferroelectrics and Frequency Control , vol. 50, no. 3, pp. 237-244, March 2003. M. Moll, K. Goldberg, M. A. Erdmann, and R. S. Fearing, " Orienting micro-scale parts with squeeze and roll primitives ," in Proc. 2002 IEEE Intl. Conf. on Robotics and Automation , Vol. 2, Piscataway, NJ: IEEE Press, 2002, pp. 1931-1936. E. Shimada, J. A. Thompson, J. Yan, R. Wood, and R. S. Fearing, " Prototyping millirobots using dextrous microassembly and folding ," in Proc. 2000 ASME Intl. Mechanical Engineering Congress and Exposition: Symp. on Microrobotics , Vol. 69-2, New York, NY: ASME, 2000, pp. 933-940. . Awards, Memberships and Fellowships NSF Presidential Young Investigator (PYI) , 1991 . diff --git a/src/data/compiled_bios/3532.txt b/src/data/compiled_bios/3532.txt new file mode 100644 index 0000000000..73d90b0628 --- /dev/null +++ b/src/data/compiled_bios/3532.txt @@ -0,0 +1 @@ +Robert Full: Contact Information 5128 Valley Life Sciences Building tel: 510-642-9896 rjfull@berkeley.edu : Research Areas Biosystems & Computational Biology (BIO) . Research Centers Center for Interdisciplinary Biological Inspiration in Education and Research (CiBER) . . Biography Robert Full completed his undergraduate studies at SUNY Buffalo in 1979. He also did his graduate work at SUNY Buffalo, receiving a master's degree in 1982 and a doctoral degree in 1984. He held a research and teaching post doctoral position at The University of Chicago from 1984 to 1986 during which time he did research at Harvard University. In 1986 he joined the faculty of the University of California at Berkeley as an Assistant Professor of Zoology. He was promoted to Associate Professor of Integrative Biology in 1991, and to Full Professor of Integrative Biology in 1995, a position he holds today. In 1996 he was given a Distinguished Teaching Award. In 1997 Professor Full became a Chancellor's Professor and the director of a new biological visualization center. In 1998 Professor Full received a Goldman Professorship for teaching. In 2011, he became a Fellow of the American Academy for the Advancement of Science. Professor Full directs the Poly-P.E.D.A.L. Laboratory which studies the Performance, Energetics and Dynamics of Animal Locomotion (P.E.D.A.L.) in many-footed creatures (Poly). His research laboratory applies the same techniques used in the study of human gait - 3D kinematic, force platform, and EMG analysis - but in miniature. His internationally recognized research program in comparative physiology and biomechanics has shown how examining a diversity of animals leads to the discovery of general principles of locomotion. General principles can then be used as hypotheses to explain the remarkable diversity in physiology and morphology in nature. His programmatic theme is Diversity Enables Discovery. At the same time, discovering the function of simple, tractable neuromechanical systems along with a knowledge of evolution can provide new design ideas applicable to the control of animal and human gait. Recently, Professor Full's research has focused on the role of the mechanical system in self-stabilization. Full's research also has provided biological inspiration for the design of multi-legged robots and computer animations. His research interests extend from analyzing the pitching motion of a Hall of Fame pitcher to assisting computer animators make children's movies (Pixar/Disney Bug;s Life). In 1990 Full received a National Science Foundation Presidential Young Investigators Award. In 1994 he presented his research at the Annual Meeting of the National Academy of Sciences. Professor Full's research has been featured in the popular press such as newspapers, various science magazines and on several television shows (CNN, NBC Today Show, ABC World News Tonight, Discovery Channel). . . . Awards, Memberships and Fellowships American Academy of Arts and Sciences Member , 2016 American Association for the Advancement of Science (AAAS) Fellow , 2011 UC Berkeley Distinguished Teaching Award , 1996 NSF Presidential Young Investigator (PYI) , 1990 . diff --git a/src/data/compiled_bios/3533.txt b/src/data/compiled_bios/3533.txt new file mode 100644 index 0000000000..539d733fb7 --- /dev/null +++ b/src/data/compiled_bios/3533.txt @@ -0,0 +1 @@ +Paul R. Gray: Contact Information 516 Cory Hall tel: 510-642-5179 pgray@berkeley.edu : Research Areas Design, Modeling and Analysis (DMA) Integrated Circuits (INC) . . . Biography Paul R. Gray received the B.S., M.S., and Ph.D. degrees in Electrical Engineering from the University of Arizona, Tucson, in 1963, 1965, and 1969, respectively. In 1969 he joined the Research and Development Laboratory at Fairchild Semiconductor in Palo Alto, California. While there, he was involved in the application of new technologies for analog integrated circuits, including power integrated circuits and data conversion circuits. In 1971, he joined the faculty of the Department of Electrical Engineering and Computer Sciences at U.C. Berkeley, where he is now a Professor Emeritus and Professor in the Graduate School. His research interests have included bipolar and MOS circuit design, electro-thermal interactions in integrated circuits, device modeling, telecommunications circuits, and analog-digital interfaces in VLSI systems. Prof. Gray is the author or co-author of over 150 journal articles and conference presentations, for which he has been the co-recipient of a number of best paper awards. He has published four books, one of which is his co-authored text, Analysis and Design of Analog Integrated Circuits , originally published in 1977 and followed by additional editions in 1984, 1993, and 2001. He is also author or co-author of 14 patents. Prof. Gray is a member and former Councillor of the National Academy of Engineering, a Fellow of the IEEE, and a recipient of several technical achievement and education awards, including the IEEE Centennial Medal (1984), the Circuits and Systems Society Technical Achievement Award (1987), the IEEE Solid-State Circuits Award (1994), the National Outstanding Researcher Award from the Semiconductor Industry Association (2000), the IEEE James H. Mulligan, Jr. Education Medal (2004), the ASEE Benjamin Garver Lamme Award (2005), and the IEEE Robert Noyce Medal (2008). Prof. Gray has also been awarded honorary doctorates from the University of Bucharest in Romania (1999) and from the Swiss Federal Institute of Technology in Lausanne, Switzerland (2006). Prof. Gray has held several administrative posts at Berkeley, including Chairman of the Department of Electrical Engineering and Computer Sciences (1990-93), Dean of the College of Engineering (1996-2000), and Executive Vice Chancellor and Provost (2000-2006). He currently serves as a member of the board of trustees of the Gordon and Betty Moore Foundation, and served as interim President from February 2014 to January 2015. He also serves as a member of several corporate and nonprofit boards. . . Selected Publications P. R. Gray, P. Hurst, S. Lewis, and R. G. Meyer, Analysis and Design of Analog Integrated Circuits , 4th ed., New York, NY: Wiley, 2001. J. C. Rudell, J. Ou, T. B. Cho, G. Chien, F. Brianti, J. A. Weldon, and P. R. Gray, " A 1.9-GHz wide-band IF double conversion CMOS receiver for cordless telephone applications ," IEEE J. Solid-State Circuits , vol. 32, no. 12, pp. 2071-2088, Dec. 1997. T. B. Cho and P. R. Gray, " A 10-bit, 20-MS/s, 35-mW pipeline A/D converter ," in Proc. 1994 EEE Custom Integrated Circuits Conf. , New York, NY: IEEE, 1994, pp. 499-502. R. W. Brodersen, P. R. Gray, and D. A. Hodges, " MOS switched-capacitor filters ," Proc. IEEE , vol. 67, no. 1, pp. 61-75, Jan. 1979. G. Jacobs, D. Allstot, R. W. Brodersen, and P. R. Gray, " Design techniques for MOS switched capacitor ladder filters (W. R. G. Baker Prize Paper Award) ," IEEE Trans. Circuits and Systems , vol. 25, no. 12, pp. 1014-1021, Dec. 1978. D. A. Hodges, P. R. Gray, and R. W. Brodersen, " Potential of MOS technologies for analog integrated circuits ," IEEE J. Solid-State Circuits , vol. SC-13, no. 3, pp. 285-294, June 1978. D. J. Allstot, R. W. Brodersen, and P. R. Gray, " Fully-integrated high-order NMOS sampled-data ladder filters ," in Digest of Technical Papers, 1978 IEEE Intl. Solid-State Circuits Conf. , Vol. 21, New York, NY: IEEE, 1978, pp. 82-83. J. L. McCreary and P. R. Gray, " All-MOS charge redistribution analog-to-digital conversion techniques. I. ," IEEE J. Solid-State Circuits , vol. SC-10, no. 6, pp. 371-379, Dec. 1975. R. E. Suarez, P. R. Gray, and D. A. Hodges, " All-MOS charge-redistribution analog-to-digital conversion techniques. II. ," IEEE J. Solid-State Circuits , vol. SC-10, no. 6, pp. 379-385, Dec. 1975. R. E. Suarez, P. R. Gray, and D. A. Hodges, " An all-MOS charge-redistribution A/D conversion technique ," in 1974 IEEE Intl. Solid-State Circuits Conf. Digest of Technical Papers , Vol. 17, New York, NY: IEEE, 1974, pp. 194-195. . Awards, Memberships and Fellowships Silicon Valley Engineering Hall of Fame , 2015 IEEE Robert N. Noyce Medal , 2008 Berkeley Citation , 2006 Benjamin Garver Lamme Award , 2005 IEEE James H. Mulligan Education Medal , 2004 SIA University Researcher Award , 2000 SSCS 2000 Millennium Medal , 2000 IEEE Donald O. Pederson Award in Solid-State Circuits , 1994 National Academy of Engineering (NAE) Member , 1990 IEEE Morris N. Liebmann Memorial Award , 1983 Institute of Electrical & Electronics Engineers (IEEE) Fellow , 1981 IEEE W. R. G. Baker Prize Paper Award , 1980 . diff --git a/src/data/compiled_bios/3534.txt b/src/data/compiled_bios/3534.txt new file mode 100644 index 0000000000..628f116086 --- /dev/null +++ b/src/data/compiled_bios/3534.txt @@ -0,0 +1 @@ +T. Kenneth Gustafson: Contact Information 265M Cory Hall tel: 510-642-3139 tkg@eecs.berkeley.edu : Research Areas Solid-State Devices; Basic electromagnetic and quantum applications . . . Biography He received both his BASc and MASc degree in Electrical Engineering from the University of British Columbia, Vancouver and a Ph.D. from MIT, 1968. His thesis focused on nonlinear optical light pulse propagation and included initial work on self-steepening of light pulses, self-phase modulation, and thermodynamic implications of such interactions. While at MIT he was a consultant with Lincoln Laboratory. Following graduation, Professor Gustafson joined EECS at UC Berkeley where he continued work on nonlinear optical pulse propagation and, in particular, suggested the external self-phase modulation for the compression of optical pulses. Other work included coherent pulse probe measurements of the rotational Raman structure of molecular gases and the utilization of tunneling structures for coherent optical detection. Currently Dr. Gustafson is a fellow of the Optical Society of America and a member of the American Physical Society and the IEEE. His recent interests have included possible applications of coherent electron-hole interactions in semiconductors and quantum fluctuations in optical devices and communications systems. Professor Gustafson currently teaches EE 117: Electromagnetic Fields and Waves. . . Selected Publications G. A. Sefler, T. K. Gustafson, E. Yin, and A. Spiridon, " Orthogonal photorefractive grating storage ," Optics Letters , vol. 21, no. 4, pp. 293-295, Feb. 1996. M. P. Guedes, T. K. Gustafson, M. Heiblum, D. P. Siu, C. W. Slayman, J. R. Whinnery, and Y. Yasuoka, "Photoinduced currents in metal-barrier-metal junctions," in Radiation Energy Conversion in Space: Technical Papers prepared for the 3rd NASA Conf. on Radiation Energy Conversion , K. W. Billman, Ed., Progress in Astronautics and Aeronautics, Vol. 61, New York, NY: American Institute of Aeronautics and Astronautics, 1978, pp. 524-548. T. K. Yee and T. K. Gustafson, " Diagrammatic analysis of the density operator for nonlinear optical calculations: Pulsed and CW responses ," Physical Review A (General Physics) , vol. 18, no. 4, pp. 1597-1617, Oct. 1978. D. P. Siu and T. K. Gustafson, " Stimulated emission of surface plasmons by electron tunneling in metal-barrier-metal structures ," Applied Physics Letters , vol. 32, no. 8, pp. 500-502, April 1978. M. Heiblum, S. Wang, J. R. Whinnery, and T. K. Gustafson, " Characteristics of integrated MOM junctions at dc and at optical frequencies ," IEEE J. Quantum Electronics , vol. 14, no. 3, pp. 159-169, March 1978. S. Y. Wang, M. Heiblum, T. K. Gustafson, and J. R. Whinnery, " An integrated metal-oxide-metal device: A new integrated device with the widest band known ," IEEE J. Quantum Electronics , vol. 13, no. 9, pp. 860, Sep. 1977. M. Heiblum, S. Y. Wang, T. K. Gustafson, and J. R. Whinnery, " Edge-MOM diode: An integrated, optical, nonlinear device ," IEEE Trans. Electron Devices , vol. 24, no. 9, pp. 1199, Sep. 1977. S. Y. Wang, M. Heiblum, T. K. Gustafson, and J. R. Whinnery, "Ultrabroadband integrated non-linear device," in 1st Intl. Conf. on Integrated Optics and Optical Fiber Communication, Digest of Technical Papers , Washington, DC: Optical Society of America Press, 1977, pp. A3:3. S. Y. Wang, T. Izawa, and T. K. Gustafson, " Coupling characteristics of thin-film metal-oxide-metal diodes at 10.6 mu m ," Applied Physics Letters , vol. 27, no. 9, pp. 481-483, Nov. 1975. J. P. Heritage, T. K. Gustafson, and C. H. Lin, " Observation of coherent transient birefringence in CS2 vapor ," Physical Review Letters , vol. 34, no. 21, pp. 1299-1302, May 1975. E. P. Ippen, C. V. Shank, and T. K. Gustafson, " Self-phase modulation of picosecond pulses in optical fibers ," Applied Physics Letters , vol. 24, no. 4, pp. 190-192, Feb. 1974. S. M. Faris, T. K. Gustafson, and J. C. Wiesner, " Detection of optical and infrared radiation with DC-biased electron-tunneling metal-barrier-metal diodes ," IEEE J. Quantum Electronics , vol. QE-9, no. 7, pp. 737-745, July 1973. F. W. Dabby, T. K. Gustafson, J. R. Whinnery, Y. Kohanzadeh, and P. L. Kelley, " Thermally self-induced phase modulation of laser beams ," Applied Physics Letters , vol. 16, no. 9, pp. 362-365, May 1970. R. A. Fisher, P. L. Kelley, and T. K. Gustafson, " Subpicosecond pulse generation using the optical Kerr effect ," Applied Physics Letters , vol. 14, no. 4, pp. 140-143, Feb. 1969. . Awards, Memberships and Fellowships Institute of Electrical & Electronics Engineers (IEEE) Fellow , 1991 Optical Society of America (OSA) Fellow , 1980 . diff --git a/src/data/compiled_bios/3535.txt b/src/data/compiled_bios/3535.txt new file mode 100644 index 0000000000..62fda375ba --- /dev/null +++ b/src/data/compiled_bios/3535.txt @@ -0,0 +1 @@ +Bjrn Hartmann: Contact Information 220A Jacobs Hall tel: 415 868 5720 bjoern@eecs.berkeley.edu : Research Areas Human-Computer Interaction (HCI) Programming Systems (PS) Cyber-Physical Systems and Design Automation (CPSDA) Graphics (GR) . Research Centers Berkeley Center for New Media (BCNM) Berkeley Institute of Design (BID) Visual Computing Lab (VCL) VeHICaL: Verified Human Interfaces, Control, and Learning for Semi-Autonomous Systems (VeHICaL) SWARM Lab Center for Information Technology Research in the Interest of Society - The Banatao Institute (CITRIS) Jacobs Institute for Design Innovation (JIDI) . Teaching Schedule Spring 2019 CS 160. User Interface Design and Development , MoWe 9:30AM - 10:59AM, Jacobs Hall 310 CS 260A. User Interface Design and Development , MoWe 9:30AM - 10:59AM, Jacobs Hall 310 . Biography Bjrn Hartmann is an Associate Professor in EECS. He received a BA in Communication, a BSE in Digital Media Design, and an MSE in Computer and Information Science from the University of Pennsylvania in 2002. He received his PhD degree in Computer Science from Stanford University in 2009. His research in Human-Computer Interaction focuses on the creation and evaluation of user interface design tools, end-user programming environments, and crowdsourcing systems. Bjrn received an Okawa Research Grant and an NSF CAREER Award in 2012, and a Sloan Research Fellowship in 2013. . Education 2009, Ph.D., Computer Science, Stanford University 2002, MSE, Computer and Information Science, University of Pennsylvania 2001, BSE/B.A., Digital Media Design/Communication, University of Pennsylvania . Selected Publications T. Karrer, J. Kr\"{a}mer, J. Diehl, B. Hartmann, and J. Borchers, " Stacksplorer: call graph navigation helps increasing code maintenance efficiency ," in Proceedings of the 24th annual ACM symposium on User interface software and technology , UIST '11, New York, NY, USA: ACM, 2011, pp. 217--224. V. Ramesh, C. Hsu, M. Agrawala, and B. Hartmann, " ShowMeHow: translating user interface instructions between applications ," in Proceedings of the 24th annual ACM symposium on User interface software and technology , UIST '11, New York, NY, USA: ACM, 2011, pp. 127--134. K. Kin, B. Hartmann, and M. Agrawala, " Two-handed marking menus for multitouch devices ," ACM Trans. Comput.-Hum. Interact. , vol. 18, pp. 16:1--16:23, Aug. 2011. L. Mamykina, B. Manoim, M. Mittal, G. Hripcsak, and B. Hartmann, " Design lessons from the fastest Q&A site in the west ," in Proceedings of the 2011 annual conference on Human factors in computing systems , CHI '11, New York, NY, USA: ACM, 2011, pp. 2857--2866. B. Hartmann, M. Dhillon, and M. K. Chan, " HyperSource: bridging the gap between source and code-related web sites ," in Proceedings of the 2011 annual conference on Human factors in computing systems , CHI '11, New York, NY, USA: ACM, 2011, pp. 2207--2210. M. S. Bernstein, G. Little, R. C. Miller, B. Hartmann, M. S. Ackerman, D. R. Karger, D. Crowell, and K. Panovich, " Soylent: a word processor with a crowd inside ," in Proceedings of the 23nd annual ACM symposium on User interface software and technology , UIST '10, New York, NY, USA: ACM, 2010, pp. 313--322. B. Hartmann, L. Wu, K. Collins, and S. R. Klemmer, "Programming by a sample: Leveraging Web sites to program their underlying services," in No Code Required: Giving Users Tools to Transform the Web , Burlingame: Morgan Kaufmann, 2010, pp. 191-211. B. Hartmann, D. MacDougall, J. Brandt, and S. R. Klemmer, "What Would Other Programmers Do? Suggesting Solutions to Error Messages," in CHI '10: Proceedings of the SIGCHI conference on Human factors in computing systems , New York, NY: ACM, 2010. B. Hartmann, S. Follmer, A. Ricciardi, T. Cardenas, and S. Klemmer, "d.note: Revising User Interfaces Through Change Tracking, Annotations, and Alternatives," in CHI '10: Proceedings of the SIGCHI conference on Human factors in computing systems , ACM, 2010. B. Hartmann, M. Ringel Morris, H. Benko, and A. D. Wilson, "Pictionaire: Supporting Collaborative Design Work by Integrating Physical and Digital Artifacts," in CSCW '10: The ACM Conference on Computer-Supported Cooperative Work , ACM, 2010. B. Hartmann, M. R. Morris, H. Benko, and A. D. Wilson, "Augmenting interactive tables with mice and keyboards," in UIST '09: Proceedings of the 22nd annual ACM symposium on User interface software and technology , New York, NY, USA: ACM, 2009, pp. 149--152. B. Hartmann, L. Yu, A. Allison, Y. Yang, and S. R. Klemmer, "Design as exploration: creating interface alternatives through parallel authoring and runtime tuning," in UIST '08: Proceedings of the 21st annual ACM symposium on User interface software and technology , New York, NY, USA: ACM, 2008, pp. 91--100. B. Hartmann, S. Doorley, and S. R. Klemmer, "Hacking, Mashing, Gluing: Understanding Opportunistic Design," IEEE Pervasive Computing , vol. 7, no. 3, pp. 46--54, July 2008. B. Hartmann, L. Wu, K. Collins, and S. R. Klemmer, "Programming by a sample: rapidly creating web applications with d.mix," in UIST '07: Proceedings of the 20th annual ACM symposium on User interface software and technology , New York, NY, USA: ACM, 2007, pp. 241--250. B. Hartmann, L. Abdulla, M. Mittal, and S. R. Klemmer, "Authoring sensor-based interactions by demonstration with direct manipulation and pattern recognition," in CHI '07: Proceedings of the SIGCHI conference on Human factors in computing systems , New York, NY, USA: ACM, 2007, pp. 145--154. B. Hartmann, S. R. Klemmer, M. Bernstein, L. Abdulla, B. Burr, A. Robinson-Mosher, and J. Gee, "Reflective physical prototyping through integrated design, test, and analysis," in UIST '06: Proceedings of the 19th annual ACM symposium on User interface software and technology , New York, NY, USA: ACM, 2006, pp. 299--308. S. R. Klemmer, B. Hartmann, and L. Takayama, "How bodies matter: five themes for interaction design," in DIS '06: Proceedings of the 6th conference on Designing Interactive systems , New York, NY, USA: ACM, 2006, pp. 140--149. . Awards, Memberships and Fellowships Jim and Donna Gray Award for Excellence in Undergraduate Teaching of Computer Science , 2016 Diane S. McEntyre Award for Excellence in Teaching Computer Science , 2015 Sloan Research Fellow , 2013 Okawa Research Grant , 2012 NSF Faculty Early Career Development Award (CAREER) , 2012 . diff --git a/src/data/compiled_bios/3536.txt b/src/data/compiled_bios/3536.txt new file mode 100644 index 0000000000..ecd136993e --- /dev/null +++ b/src/data/compiled_bios/3536.txt @@ -0,0 +1 @@ +David A. Hodges: Contact Information 516 Cory Hall tel: 510-642-3539 fax: none hodges@eecs.berkeley.edu : Research Areas Integrated Circuits (INC) . . . Biography David A. Hodges is the Daniel M. Tellep Distinguished Professor of Engineering Emeritus at the University of California at Berkeley. He earned the B.E.E. degree at Cornell University and the M.S. and Ph.D. degrees at Berkeley. From 1966 to 1970 he worked at Bell Telephone Laboratories in Murray Hill and Holmdel, NJ. In 1970 he joined the faculty in Electrical Engineering and Computer Sciences at UC Berkeley. Following a year as Chair of the EECS Department, he served as Dean of the College of Engineering from 1990 to 1996. He retired from regular service in 1998 and no longer accepts new students. In the 1970s and 1980s Professor Hodges was active in teaching and research on microelectronics technology and design. Since 1984 his research has centered on semiconductor manufacturing systems. He supervised 27 completed doctoral dissertations and 91 completed master's degrees. With Professor R. C. Leachman, he founded Berkeley's Competitive Semiconductor Manufacturing Program, with the support of the Alfred P. Sloan Foundation and the international semiconductor industry. Professor Hodges was the winner of the 1997 IEEE Education Medal and the 1999 ASEE Benjamin Garver Lamme Award. He was the founding Editor of the IEEE Transactions on Semiconductor Manufacturing, a past Editor of the IEEE Journal of Solid-State Circuits, and a past Chairman of the International Solid-State Circuits Conference. With R. W. Brodersen and P. R. Gray, he received the 1983 IEEE Morris N. Liebmann Award for pioneering work on switched-capacitor circuits. He is a Fellow of the IEEE and a Member of the National Academy of Engineering. He is a former Director of Silicon Image, Inc. and of Mentor Graphics Company. . . Selected Publications D. A. Hodges, H. G. Jackson, and R. A. Saleh, Analysis and Design of Digital Integrated Circuits: In Deep Submicron Technology , 3rd ed., McGraw-Hill Series in Electrical Engineering, Vol. 3118, Boston, MA: McGraw-Hill Higher Education, 2003. R. C. Leachman and D. A. Hodges, " Benchmarking semiconductor manufacturing ," IEEE Trans. Semiconductor Manufacturing , vol. 9, no. 2, pp. 158-169, May 1996. O. Agazzi, D. A. Hodges, and D. G. Messerschmitt, " Large-scale integration of hybrid-method digital subscriber loops ," IEEE Trans. Communications , vol. 30, no. 9, pp. 2095-2108, Sep. 1982. I. A. Young and D. A. Hodges, " MOS switched-capacitor analog sampled-data direct-form recursive filters ," IEEE J. Solid-State Circuits , vol. 14, no. 6, pp. 1020-1033, Dec. 1979. R. W. Brodersen, P. R. Gray, and D. A. Hodges, " MOS switched-capacitor filters ," Proc. IEEE , vol. 67, no. 1, pp. 61-75, Jan. 1979. D. A. Hodges, P. R. Gray, and R. W. Brodersen, " Potential of MOS technologies for analog integrated circuits ," IEEE J. Solid-State Circuits , vol. SC-13, no. 3, pp. 285-294, June 1978. D. A. Hodges, " Large-capacity semiconductor memory ," Proc. IEEE , vol. 56, no. 7, pp. 1148-1162, July 1968. . Awards, Memberships and Fellowships IEEE Richard M. Emberson Award , 2017 Silicon Valley Engineering Hall of Fame , 2012 EDS 2000 Millennium Medal , 2000 Benjamin Garver Lamme Award , 1999 Distinguished Alumni Engineer Award , 1998 Berkeley Citation , 1998 IEEE James H. Mulligan Education Medal , 1997 Tau Beta Pi Eminent Engineer , 1992 Charles A. Desoer Technical Achievement Award , 1987 IEEE Morris N. Liebmann Memorial Award , 1983 National Academy of Engineering (NAE) Member , 1983 Institute of Electrical & Electronics Engineers (IEEE) Fellow , 1977 . diff --git a/src/data/compiled_bios/3537.txt b/src/data/compiled_bios/3537.txt new file mode 100644 index 0000000000..5fa9f14df0 --- /dev/null +++ b/src/data/compiled_bios/3537.txt @@ -0,0 +1 @@ +Chenming Hu: Contact Information : Research Areas Semiconductor Device Technologies . . . Biography He was formerly Chief Technology Officer of TSMC and is best known for contributions to IC reliability, BSIM SPICE models, and the FinFET transistor. For up-to-date bio and other information, please click Personal Homepage below the photo or go to http://www.eecs.berkeley.edu/~hu/ . Education 1973, Ph.D., EECS, UC Berkeley 1970, M.S., EECS, UC Berkeley 1968, B.S., EE, National Taiwan University . Selected Publications S. Venugopalan, D. D. Lu, Y. Kawakami, P. M. Lee, A. Niknejad, and C. Hu, " BSIM-CG: A compact model of cylindrical/surround gate MOSFET for circuit simulations ," Solid-State Electronics , vol. 67, no. 1, pp. 79 - 89, Jan. 2012. . Awards, Memberships and Fellowships Silicon Valley Engineering Hall of Fame , 2017 National Medal of Technology and Innovation , 2016 National Academy of Inventors (NAI) Fellow , 2015 Phil Kaufman Award , 2013 Berkeley Citation , 2011 SIA University Researcher Award , 2011 CIE Distinguished Lifetime Achievement Award , 2011 EDS Education Award , 2011 IEEE ISDRS Aldert van der Ziel Award , 2011 SRC Aristotle Award , 2009 IEEE Jun-ichi Nishizawa Medal , 2009 IEEE Donald O. Pederson Award in Solid-State Circuits , 2002 EDS Paul Rappaport Award , 2002 DARPATech Significant Technical Achievement Award , 2000 Monie A. Ferst Award , 1998 IEEE Jack A. Morton Award , 1997 UC Berkeley Distinguished Teaching Award , 1997 National Academy of Engineering (NAE) Member , 1996 SRC Technical Excellence Award , 1991 Institute of Electrical & Electronics Engineers (IEEE) Fellow , 1990 . diff --git a/src/data/compiled_bios/3538.txt b/src/data/compiled_bios/3538.txt new file mode 100644 index 0000000000..df2bd3187b --- /dev/null +++ b/src/data/compiled_bios/3538.txt @@ -0,0 +1 @@ +Ali Javey: Contact Information 550B Cory Hall tel: 510-643-7263 ajavey@eecs.berkeley.edu : Research Areas Physical Electronics (PHY) Energy (ENE) Micro/Nano Electro Mechanical Systems (MEMS) Nanomaterials and Nanotechnology . Research Centers Berkeley Sensor & Actuator Center (BSAC) Center for Energy Efficient Electronics Science (E3S) Electronic Materials Program at LBNL (E-Mat) . Teaching Schedule Spring 2019 EE 143. Microfabrication Technology , TuTh 12:30PM - 1:59PM, Cory 540AB . Biography Ali Javey received a Ph.D. degree in chemistry from Stanford University in 2005, and was a Junior Fellow of the Harvard Society of Fellows from 2005 to 2006. He then joined the faculty of the University of California at Berkeley where he is currently a professor of Electrical Engineering and Computer Sciences. He is also a faculty scientist at the Lawrence Berkeley National Laboratory where he serves as the program leader of Electronic Materials (E-Mat). He is an associate editor of ACS Nano . He is the co-director of Berkeley Sensor and Actuator Center (BSAC), and Bay Area PV Consortium (BAPVC). Professor Javey's research interests encompass the fields of chemistry, materials science, and electrical engineering. His work focuses on the integration of nanoscale electronic materials for various technological applications, including 2D electronics, flexible circuits and sensors, and energy generation and harvesting. His awards include MRS Outstanding Young Investigator Award (2015); Nano Letters Young Investigator Lectureship (2014); UC Berkeley Electrical Engineering Outstanding Teaching Award (2012); APEC Science Prize for Innovation, Research and Education (2011); Netexplorateur of the Year Award (2011); IEEE Nanotechnology Early Career Award (2010); Alfred P. Sloan Fellow (2010); Mohr Davidow Ventures Innovators Award (2010); National Academy of Sciences Award for Initiatives in Research (2009); Technology Review TR35 (2009); NSF Early CAREER Award (2008); U.S. Frontiers of Engineering by National Academy of Engineering (2008); and Peter Verhofstadt Fellowship from the Semiconductor Research Corporation (2003). . Education 2005, Ph.D., Physical Chemistry, Stanford University 2001, B.S., Chemistry, Old Dominion University, Norfolk . Selected Publications S. B. Desai, S. R. Madhvapathy, A. B. Sachid, J. P. Llinas, Q. Wang, G. H. Ahn, G. Pitner, M. J. Kim, J. Bokor, C. Hu, H. P. Wong, and A. Javey, " MoS2 transistors with 1-nanometer gate lengths ," Science , vol. 354, no. 6308, pp. 99--102, Oct. 2016. W. Gao, S. Emaminejad, H. Y. Y. Nyein, S. Challa, K. Chen, A. Peck, H. M. Fahad, H. Ota, H. Shiraki, D. Kiriya, D. Lien, G. A. Brooks, R. W. Davis, and A. Javey, " Fully integrated wearable sensor arrays for multiplexed in situ perspiration analysis ," Nature , vol. 529, no. 7587, pp. 509--514, Jan. 2016. M. Amani, D. Lien, D. Kiriya, J. Xiao, A. Azcatl, J. Noh, S. R. Madhvapathy, R. Addou, K. Santosh, M. Dubey, K. Cho, R. M. Wallace, S. Lee, J. He, J. W. Ager, X. Zhang, E. Yablonovitch, and A. Javey, " Near-unity photoluminescence quantum yield in MoS2 ," Science , vol. 350, no. 6264, pp. 1065-1068, 2015. H. Ota, K. Chen, Y. Lin, D. Kiriya, H. Shiraki, Z. Yu, T. Ha, and A. Javey, " Highly deformable liquid-state heterojunction sensors ," Nature Communications , vol. 5, no. 5032, 2014. H. Fang, C. Battaglia, C. Carraro, S. Nemsak, B. Ozdol, J. S. Kang, H. A. Bechtel, S. B. Desai, F. Kronast, A. A. Unal, G. Conti, C. Conlon, G. K. Palsson, M. C. Martin, A. M. Minor, C. S. Fadley, E. Yablonovitch, R. Maboudian, and A. Javey, " Strong interlayer coupling in van der Waals heterostructures built from single-layer chalcogenides ," Proceedings of the National Academy of Sciences , vol. 111, pp. 6198--6202, 2014. X. Zhang, Z. Yu, C. Wang, D. Zarrouk, J. T. Seo, J. C. Cheng, A. D. Buchan, K. Takei, Y. Zhao, J. W. Ager, J. Zhang, M. Hettick, M. C. Hersam, A. Pisano, R. S. Fearing, and A. Javey, " Photoactuators and motors based on carbon nanotubes with selective chirality distributions ," Nature Communications , vol. 5, no. 2983, 2014. H. Fang, H. A. Bechtel, E. Plis, M. C. Martin, S. Krishna, E. Yablonovitch, and A. Javey, " Quantum of optical absorption in two-dimensional semiconductors ," Proceedings of the National Academy of Sciences , vol. 110, no. 29, pp. 11688--11691, 2013. C. Wang, D. Hwang, Z. Yu, K. Takei, J. Park, T. Chen, B. Ma, and A. Javey, " User-interactive electronic skin for instantaneous pressure visualization ," Nature Materials , vol. 12, pp. 899-904, 2013. R. Kapadia, Z. Yu, H. H. Wang, M. Zheng, C. Battaglia, M. Hettick, D. Kiriya, K. Takei, P. Lobaccaro, J. W. Beeman, J. W. Ager, R. Maboudian, D. C. Chrzan, and A. Javey, " A direct thin-film path towards low-cost large-area III-V photovoltaics ," Scientific Reports , vol. 3, pp. 2275, July 2013. H. Fang, S. Chuang, T. C. Chang, K. Takei, T. Takahashi, and A. Javey, " High-performance single layered WSe2 p-FETs with chemically doped contacts ," Nano Letters , vol. 12, no. 7, pp. 3788--3792, 2012. H. Ko, K. Takei, R. Kapadia, S. Chuang, H. Fang, P. W. Leu, K. Ganapathi, E. Plis, H. S. Kim, S. Chen, M. Madsen, A. C. Ford, Y. Chueh, S. Krishna, S. Salahuddin, and A. Javey, " Ultrathin compound semiconductor on insulator layers for high-performance nanoscale transistors ," Nature , vol. 468, no. 7321, pp. 286-289, Nov. 2010. K. Takei, T. Takahashi, J. C. Ho, H. Ko, A. G. Gillies, P. W. Leu, R. S. Fearing, and A. Javey, " Nanowire active-matrix circuitry for low-voltage macroscale artificial skin ," Nature Materials , vol. 9, no. 10, pp. 821-826, Oct. 2010. Z. Fan, H. Razavi, J. Do, A. Moriwaki, O. Ergen, Y. Chueh, P. W. Leu, J. C. Ho, T. Takahashi, L. A. Reichertz, S. Neale, K. Yu, M. C. Wu, J. W. Ager, and A. Javey, " Three-dimensional nanopillar-array photovoltaics on low-cost and flexible substrates ," Nature Materials , vol. 8, no. 8, pp. 648-653, Aug. 2009. A. Javey and J. Kong, Eds., Carbon Nanotube Electronics , Springer, 2009. Z. Fan, J. C. Ho, Z. A. Jacobson, H. Razavi, and A. Javey, " Large scale, heterogeneous integration of nanowire arrays for image sensor circuitry ," Proceedings of the National Academy of Sciences , vol. 105, no. 32, pp. 11066-11070, Aug. 2008. J. C. Ho, R. Yerushalmi, Z. A. Jacobson, Z. Fan, R. L. Alley, and A. Javey, " Controlled nanoscale doping of semiconductors via molecular monolayers ," Nature Materials , vol. 7, no. 1, pp. 62-67, Jan. 2008. A. Javey, J. Guo, Q. Wang, D. Mann, M. Lundstrom, and H. Dai, " High-field quasiballistic transport in short carbon nanotubes ," Physical Review Letters , vol. 92, no. 10, pp. 106804, March 2004. A. Javey, J. Guo, Q. Wang, M. Lundstrom, and H. Dai, " Ballistic carbon nanotube field-effect transistors ," Nature , vol. 424, no. 6949, pp. 654-657, 2003. A. Javey, H. Kim, M. Brink, Q. Wang, A. Ural, J. Gu, P. McIntyre, P. McEuen, M. Lundstrom, and H. Dai, " High-k dielectrics for advanced carbon-nanotube transistors and logic gates ," Nature Materials , vol. 1, no. 4, pp. 241-246, Dec. 2002. . Awards, Memberships and Fellowships Bakar Fellow , 2016 MRS Outstanding Young Investigator Award , 2015 Nano Letters Young Investigators Lectureship Award , 2014 Electrical Engineering Award for Outstanding Teaching , 2012 Science Prize for Innovation, Research and Education , 2011 Sloan Research Fellow , 2010 Early Career Award in Nanotechnology , 2010 NSF Faculty Early Career Development Award (CAREER) , 2009 William O. Baker Award for Initiatives in Research , 2009 MIT Tech Review Top 35 Innovators Under 35 (TR35) , 2009 . diff --git a/src/data/compiled_bios/3539.txt b/src/data/compiled_bios/3539.txt new file mode 100644 index 0000000000..15226f408c --- /dev/null +++ b/src/data/compiled_bios/3539.txt @@ -0,0 +1 @@ +Jiantao Jiao: Contact Information 257M Cory Hall jiantao@berkeley.edu : Research Areas Artificial Intelligence (AI) Control, Intelligent Systems, and Robotics (CIR) Communications & Networking (COMNET) Theory (THY) . Research Centers Berkeley Laboratory for Information and System Sciences (BLISS) Berkeley Artificial Intelligence Research Lab (BAIR) . . . Education 2018, Ph.D., Electrical Engineering, Stanford University 2014, M.Sc, Electrical Engineering, Stanford University 2012, B.Eng, Electronic Engineering, Tsinghua University . . . diff --git a/src/data/compiled_bios/354.txt b/src/data/compiled_bios/354.txt new file mode 100644 index 0000000000..e210baf005 --- /dev/null +++ b/src/data/compiled_bios/354.txt @@ -0,0 +1 @@ +Name: Harabagiu, Sanda:: Position: Professor and Research Initiation Chair:: Research Interests: Natural Language Processing; Information Retrieval; Knowledge Processing; Artificial Intelligence; Medical Informatics; RepresentativePublications: ; Bryan Rink, Kirk Roberts and Sanda M. Harabagiu. A supervised framework for resolving corefence in clinical records. Journal of the American Medical Informatics Association (JAMIA), 2012(19):5:875-882. doi:10.1136/amiajnl-2012-000810.; ; ; Kirk Roberts and Sanda M. Harabagiu.A flexible framework for deriving assertions from electronic medical records. Journal of the American Medical Informatics Association (JAMIA), 2011(18)568-573. doi:10.1136/amiajnl-2011-000152.; ; ; Bryan Rink, Sanda M. Harabagiu and Kirk Roberts.Automatic extraction of relations between medical concepts in clinical texts. Journal of the American Medical Informatics Association (JAMIA), 2011(18)594-600. doi:10.1136/amiajnl-2011-000153.; ; ; Travis Goodwin, Bryan Rink, Kirk Roberts and Sanda M. Harabagiu.Cohort Shepherd: Discovering Cohort Traits from Hospital Visits in the Proceedings of the Twentieth Text REtrieval Conference (TREC 2011), Gaithersburg, Maryland, November 15-18, 2011.; ; ; Bryan Rink and Sanda M. Harabagiu.A generative model for unsupervised discovery of relations and argument classes from clinical texts in the Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing (EMNLP 2011), pages 519528, July 2011, Edinburgh, Scotland, UK.; ; diff --git a/src/data/compiled_bios/3540.txt b/src/data/compiled_bios/3540.txt new file mode 100644 index 0000000000..c80064379c --- /dev/null +++ b/src/data/compiled_bios/3540.txt @@ -0,0 +1 @@ +Boubacar Kante: Contact Information bkante@berkeley.edu : . . . . . . . diff --git a/src/data/compiled_bios/3541.txt b/src/data/compiled_bios/3541.txt new file mode 100644 index 0000000000..d6ce4b42a1 --- /dev/null +++ b/src/data/compiled_bios/3541.txt @@ -0,0 +1 @@ +Edward L. Keller: Contact Information 278 Cory Hall tel: 510-642-3214 elk@ski.org : Research Areas Computational neuroscience; bioengineering; neurophysiology of the oculomotor system . . . Biography Prof. Edward L. Keller received the BS degree in Engineering Science from the U.S. Naval Academy in 1961 and served as a U.S. naval officer from 1961-1965; subsequently, he received the Ph.D. degree in Bioengineering from Johns Hopkins University in 1971. He joined the EECS Department faculty in 1971. In 1977-78, he was a Visiting Professor at the Max Planck Institute for Brain Research in Frankfurt, Germany; chaired the campus Engineering Science Program from 1988-1994; served as Chair of the Joint UC Berkeley/UC San Francisco Graduate Group in Bioengineering for one year in 1989; and in 1989-1990, was a Visiting Scientist at the National Institutes of Health in Bethesda, MD. After retiring from the University as an Emeritus Professor in 1994, he became Associate Director of the Smith-Kettlewell Eye Research Institute in San Francisco where his laboratory conducts research on how the brain converts sensory inputs into appropriate signals to generate motor behavior. Specifically, most of his research is involved in uncovering the structural and functional organizations in the nervous system that carry out spatiotemporal transformations, using the saccadic system as a model. Prof. Keller is a Fellow of the IEEE. . . Selected Publications P. D. Thiem, E. L. Keller, and K. Lee, " Psychophysical evidence that top-down input effects error directions in a choice-response saccade task ," J. Vision , vol. 6, no. 6, pp. 487a, June 2006. K. M. Lee and E. L. Keller, " Symbolic cue driven activity in superior colliculus neurons in a peripheral visual choice task ," J. Neurophysiology , vol. 95, no. 6, pp. 3585-3595, June 2006. K. Lee, E. L. Keller, and S. J. Heinen, " Properties of saccades generated as a choice response ," Experimental Brain Research , vol. 162, no. 3, pp. 278-286, April 2005. E. L. Keller, K. Lee, and R. M. McPeek, " Readout of higher-level processing in the discharge of superior colliculus neurons ," Annals of the New York Academy of Science , vol. 1039, pp. 198-208, April 2005. K. Arai and E. L. Keller, " A model of the saccade-generating system that accounts for trajectory variations produced by copeting visual stimuli ," Biological Cybernetics , vol. 92, no. 1, pp. 21-37, Jan. 2005. K. Arai and E. L. Keller, " A distributed model of the saccadic system: Simulations of trajectory variations produced by multiple competing visual stimuli ," in Proc. 26th Annual Intl. Conf. of the IEEE Engineering in Medicine and Biology Society , Vol. 7, Piscataway, NJ: IEEE Press, 2004, pp. 4692-4695. R. M. McPeek and E. L. Keller, " Deficits in saccade target selection after inactivation of superior colliculus ," Nature Neuroscience , vol. 7, no. 7, pp. 757-763, July 2004. R. W. Anderson, S. Das, and E. L. Keller, " Estimation of spatiotemporal neural activity using radial basis function networks ," J. Computational Neuroscience , vol. 5, no. 4, pp. 421-441, Oct. 1998. D. C. Deno, E. L. Keller, and W. F. Crandall, " Dynamical neural network organization of the visual pursuit system ," IEEE Trans. Biomedical Engineering , vol. 36, no. 1, pp. 85-92, Jan. 1989. E. L. Keller, " Participation of medial pontine reticular formation in eye movement generation in monkey ," J. Neurophysiology , vol. 37, no. 2, pp. 316-332, March 1974. . . diff --git a/src/data/compiled_bios/3542.txt b/src/data/compiled_bios/3542.txt new file mode 100644 index 0000000000..f41a4060b4 --- /dev/null +++ b/src/data/compiled_bios/3542.txt @@ -0,0 +1 @@ +Kurt Keutzer: Contact Information 566 Soda Hall tel: 510-642-9267 keutzer@berkeley.edu : Research Areas Computer Architecture & Engineering (ARC) Design, Modeling and Analysis (DMA) Scientific Computing (SCI) . Research Centers Berkeley Center for New Media (BCNM) Berkeley Artificial Intelligence Research Lab (BAIR) Berkeley Deep Drive (BDD) . . Biography Kurt received his Ph.D. degree in Computer Science from Indiana University in 1984 and then joined the research division of AT&T Bell Laboratories. In 1991 he joined Synopsys, Inc. where he ultimately became Chief Technical Officer and Senior Vice-President of Research. In 1998 Kurt became Professor of Electrical Engineering and Computer Science at the University of California at Berkeley. Kurts research now focuses on parallel computing and its application to computer vision, speech recognition, multi-media analysis, machine learning, and computational finance. Kurt has published six books, over 250 refereed articles, and is among the most highly cited authors in Hardware and Design Automation. Kurt was elected a Fellow of the IEEE in 1996. At the 50th Design Automation Conference Kurt received a number of awards reflecting achievements over the 50 year history of the conference. These included Top Ten Cited Author and Top Ten Cited Paper. He was also recognized as among one of only three people to have received four Best Paper Awards in the history of the conference. As an angel investor and advisor Kurt has served as an angel investor and advisor to twelve start-up companies including Coverity and Tensilica. Of these twelve, seven have already seen profitable exits. Altogether these companies have returned over a billion dollars to investors. Kurt has also served as an advisor to eight other start-ups including two that went on to become public companies: C-Cube Microsystems and Simplex. Kurt also services on the Board of Directors of the non-profit corporation Tibetan Buddhist Resource Center (www.tbrc.org). . . Selected Publications A. Gholami, A. Azad, P. Jin, K. Keutzer, and A. Bulu, " Integrated Model, Batch, and Domain Parallelism in Training Neural Networks ," in SPAA'18: 30th ACM Symposium on Parallelism in Algorithms and Architectures , 2018. M. Anderson, B. Catanzaro, J. Chong, E. Gonina, K. Keutzer, C. Lai, M. W. Moskewicz, M. Murphy, B. Su, and K. Keutzer, " PALLAS: Mapping Applications onto Manycore ," in Multiprocessor System-on-Chip: Hardware Design and Tool Integration , Springer, 2010, pp. 89-114. M. Anderson, B. Catanzaro, J. Chong, E. Gonina, K. Keutzer, C. Lai, M. W. Moskewicz, M. Murphy, B. Su, and K. Keutzer, " PALLAS: Mapping Applications onto Manycore ," in Multiprocessor System-on-Chip: Hardware Design and Tool Integration , Springer, 2010, pp. 89-114. J. Chong, E. Gonina, K. You, and K. Keutzer, " Exploring Recognition Network Representations for Efficient Speech Inference on Highly Parallel Platforms ," in Proceedings of the 11th Annual Conference of the International Speech Communication Association , 2010, pp. 1489-1492. D. Kolossa, J. Chong, S. Zeiler, and K. Keutzer, "Efficient Manycore CHMM Speech Recognition for Audiovisual and Multistream Data," in Proceedings of the 11th Annual Conference of the International Speech Communication Association , 2010, pp. 2698-2701. J. Chong, E. Gonina, and K. Keutzer, " Monte Carlo Methods ," in 2nd Annual Conference on Parallel Programming Patterns (ParaPLoP'10) , 2010. M. Dixon, J. Chong, and K. Keutzer, " Acceleration of Market Value-at-Risk Estimation ," in Proceedings of the 2nd Workshop on High Performance Computational Finance , WHPCF '09, New York, NY, USA: ACM, 2009, pp. 5:1--5:8. K. You, J. Chong, Y. Yi, E. Gonina, C. Hughes, Y. Chen, W. Sung, and K. Keutzer, " Parallel Scalability in Speech Recognition: Inference engine in large vocabulary continuous speech recognition ," IEEE Signal Processing Magazine , vol. 26, no. 6, pp. 124-135, Nov. 2009. J. Chong, E. Gonina, Y. Yi, and K. Keutzer, " A Fully Data Parallel WFST-based Large Vocabulary Continuous Speech Recognition on a Graphics Processing Unit ," in Proceedings of the 10th Annual Conference of the International Speech Communication Association (InterSpeech) , 2009, pp. 11831186. J. Chong, E. Gonina, Y. Yi, and K. Keutzer, "A Fully Data Parallel WFST-based Large Vocabulary Continuous Speech Recognition on a Graphics Processing Unit," in Proceedings of the 10th Annual Conference of the International Speech Communication Association (InterSpeech) , 2009, pp. 11831186. J. Chong, Y. Yi, A. Faria, N. Satish, and K. Keutzer, "Data-Parallel Large Vocabulary Continuous Speech Recognition on Graphics Processors," in Proceedings of the 1st Annual Workshop on Emerging Applications and Many Core Architecture , 2008, pp. 23-35. J. Chong, Y. Yi, A. Faria, N. Satish, and K. Keutzer, "Data-Parallel Large Vocabulary Continuous Speech Recognition on Graphics Processors," in Proceedings of the 1st Annual Workshop on Emerging Applications and Many Core Architecture (EAMA) , 2008, pp. 23--35. J. Chong, N. R. Satish, B. C. Catanzaro, K. Ravindran, and K. Keutzer, " Efficient parallelization of H.264 decoding with macro block level scheduling ," in Proc. 2007 Intl. Conf. on Multimedia and Expo (ICME 2007) , Piscataway, NJ: IEEE Press, 2007, pp. 1874-1877. Y. Jin, N. R. Satish, K. Ravindran, and K. Keutzer, " An Automated Exploration Framework for FPGA-based Soft Multiprocessor Systems ," in Proceedings of the 3rd IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis (CODES) , ACM Press, 2005, pp. 273-278. K. Ravindran, N. R. Satish, Y. Jin, and K. Keutzer, " An FPGA-based Soft Multiprocessor for IPv4 Packet Forwarding ," in 15th International Conference on Field Programmable Logic and Applications (FPL) , 2005, pp. 487-492. D. Chinnery and K. Keutzer, Closing the Gap Between ASIC & Custom: Tools and Techniques for High-Performance ASIC Design , Boston, MA: Kluwer Academic Publishers, 2002. K. Keutzer, S. Malik, A. R. Newton, J. M. Rabaey, and A. L. Sangiovanni-Vincentelli, " Invited Paper: System-level design: Orthogonalization of concerns and platform-based design ," IEEE Trans. Computer-Aided Design of Integrated Circuits and Systems , vol. 19, no. 12, pp. 1523-1543, Dec. 2000. D. Sylvester and K. Keutzer, " Getting to the bottom of deep submicron ," in 1998 IEEE/ACM Intl. Conf. on Computer-Aided Design. Digest of Technical Papers , New York, NY: ACM, 1998, pp. 203-11. S. Liao, S. Devadas, K. Keutzer, S. Tjiang, and A. Wang, " Storage assignment to decrease code size ," SIGPLAN Notices , vol. 30, no. 6, pp. 186-195, June 1995. A. Ghosh, S. Devadas, K. Keutzer, and J. White, " Estimation of average switching activity in combinational and sequential circuits ," in Proc. 29th ACM/IEEE Conf. on Design Automation , Los Alamitos, CA: IEEE Computer Society Press, 1992, pp. 253-259. . Awards, Memberships and Fellowships Institute of Electrical & Electronics Engineers (IEEE) Fellow , 1996 . diff --git a/src/data/compiled_bios/3543.txt b/src/data/compiled_bios/3543.txt new file mode 100644 index 0000000000..311179fd7f --- /dev/null +++ b/src/data/compiled_bios/3543.txt @@ -0,0 +1 @@ +Tsu-Jae King Liu: Contact Information 501 Cory Hall tel: 510-642-2689 tking@eecs.berkeley.edu : Research Areas Physical Electronics (PHY) Micro/Nano Electro Mechanical Systems (MEMS) . Research Centers Center for Energy Efficient Electronics Science (E3S) Marvell NanoLab . . Biography Tsu-Jae King Liu received the B.S., M.S. and Ph.D. degrees in Electrical Engineering from Stanford University. She joined the Xerox Palo Alto Research Center as a Member of Research Staff in 1992, to research and develop high-performance thin-film transistor technologies for flat-panel display applications. In 1996 she joined the faculty of the University of California, at Berkeley, where she now holds the Taiwan Semiconductor Manufacturing Company (TSMC) Distinguished Professorship in Microelectronics. From 2000 to 2004 and from 2006 to 2008, she served as the Faculty Director of the UC Berkeley Microfabrication Laboratory. From July 2004 through June 2006 she was Senior Director of Engineering in the Advanced Technology Group of Synopsys, Inc. (Mountain View, CA). From 2008 through 2012, Professor Liu was the Associate Dean for Research in the College of Engineering at UC Berkeley. She also served as Faculty Director of the UC Berkeley Marvell Nanofabrication Laboratory in 2012. From 2012 to 2016 she served as Chair of the Electrical Engineering Division, and from 2014 to 2016 she served as Chair of the EECS Department. Professor Liu's awards include the Ross M. Tucker AIME Electronics Materials Award (1992) for seminal work in polycrystalline silicon-germanium thin films; an NSF CAREER Award (1998) for research in thin-film transistor technology; the DARPA Significant Technical Achievement Award (2000) for development of the FinFET; the Electrical Engineering Award for Outstanding Teaching at UC Berkeley (2003); the IEEE Kiyo Tomiyasu Award (2010) for contributions to nanoscale MOS transistors, memory devices, and MEMS devices; the UC Berkeley Faculty Mentor Award (2010); the Electrochemical Society Dielectric Science and Technology Division Thomas D. Callinan Award (2011) for excellence in dielectrics and insulation investigations; the Intel Outstanding Researcher in Nanotechnology Award (2012); the Semiconductor Industry Association (SIA) University Researcher Award (2014); and the Semiconductor Research Corporation (SRC) Aristotle Award (2016). Her research activities are presently in advanced materials, fabrication processes and devices for energy-efficient electronics. She has authored or co-authored over 500 publications and holds over 90 patents. Professor Liu is a Fellow of the IEEE and a member of the U.S. National Academy of Engineering, and serves on the Board of Directors for Intel Corporation. . Education 1994, PhD, Electrical Engineering, Stanford University 1986, MS, Electrical Engineering, Stanford University 1984, BS, Electrical Engineering, Stanford University . Selected Publications C. Qian, A. Peschot, D. Connelly, and T. King Liu, "Energy-Delay Performance Optimization of NEM Logic Relay," in IEEE Int. Electron Devices Meeting Tech. Dig. (IEDM) , 2015. C. Qian, A. Peschot, I. Chen, Y. Chen, N. Xu, and T. King Liu, " Effect of Body Biasing on the Energy-Delay Performance of Logic Relays ," IEEE Electron Device Lett. , vol. 36, no. 8, pp. 862, Aug. 2015. Y. Chen, R. Nathanael, J. Jeon, J. Yaung, L. Hutin, and T. King Liu, " Characterization of Contact Resistance Stability in MEM Relays With Tungsten Electrodes ," Journal of Microelectromechanical Systems , vol. 21, no. 3, pp. 511-513, June 2012. S. O. Toh, Z. Guo, T. King Liu, and B. Nikolic, " Characterization of Dynamic SRAM Stability in 45 nm CMOS ," Solid-State Circuits, IEEE Journal of , vol. 46, no. 11, pp. 2702-2712, Nov. 2011. V. Pott, H. Kam, R. Nathanael, J. Jeon, E. Alon, and T. King Liu, " Mechanical Computing Redux: Relays for Integrated Circit Applications ," Proceedings of the IEEE , vol. 98, no. 12, pp. 2076, Dec. 2010. H. Kam, E. Alon, and T. King Liu, "A predictive contact reliability model for MEM logic switches," in Electron Devices Meeting (IEDM), 2010 IEEE International , 2010, pp. 16.4.1 -16.4.4. F. Chen, M. Spencer, R. Nathanael, C. Wang, H. Fariborzi, A. Gupta, H. Kam, V. Pott, J. Jeon, T. King Liu, D. Markovic, V. Stojanovic, and E. Alon, " Demonstration of Integrated Micro-Electro-Mechanical Switch Circuits for VLSI Applications ," in Solid-State Circuits Conference Digest of Technical Papers (ISSCC), 2010 IEEE International , 2010, pp. 150 -151. F. Chen, H. Kam, D. Markovic, T. King Liu, V. Stojanovic, and E. Alon, " Integrated Circuit Design with NEM Relays ," in IEEE/ACM International Conference on Computer-Aided Design , 2008. A. Carlson, X. Sun, C. Shin, and T. King Liu, "SRAM yield and performance enhancements with tri-gate bulk MOSFETs," in Proc. IEEE 2008 Silicon Nanoelectronics Workshop , Piscataway, NJ: IEEE Press, 2008. Z. Guo, A. Carlson, L. Pang, K. Duong, T. King Liu, and B. Nikolic, " Large-scale read/write margin measurement in 45nm CMOS SRAM arrays ," in Proc. 2008 IEEE Symp. on VLSI Circuits , Piscataway, NJ: IEEE Press, 2008, pp. 42-43. X. Sun, Q. Lu, V. Moroz, H. Takeuchi, G. Gebara, J. Wetzel, S. Ikeda, C. Shin, and T. King Liu, " Tri-gate bulk MOSFET design for CMOS scaling to the end of the roadmap ," IEEE Electron Device Letters , vol. 29, no. 5, pp. 491-493, May 2008. X. Sun, Q. Lu, H. Takeuchi, S. Balasubramanian, and T. King Liu, " Selective enhancement of SiO2 etch rate by Ar ion implantation for improved etch depth control ," Electrochemical and Solid-State Letters , vol. 10, no. 9, pp. D89-D91, 2007. W. Y. Choi, H. Kam, D. Lee, J. Lai, and T. King Liu, " Compact nano-electro-mechanical non-volatile memory (NEMory) for 3D integration ," in 53rd IEEE Intl. Electron Devices Meeting (IEDM 2007) Technical Digest , Piscataway, NJ: IEEE Press, 2007, pp. 603-606. W. Y. Choi, B. G. Park, J. D. Lee, and T. King Liu, " Tunneling field-effect transistors (TFETs) with subthreshold swing (SS) less than 60 mV/dec ," IEEE Electron Device Letters , vol. 28, no. 8, pp. 743-745, Aug. 2007. T. King Liu, " Segmented channel MOS transistor ," U.S. Patent 7,247,887. July 2007. Z. Guo, S. Balasubramanian, R. Zlatanovici, T. King Liu, and B. Nikolic, " FinFET-based SRAM design ," in Proc. ISLPED '05 , Piscataway, NJ: IEEE, 2005, pp. 2-7. A. E. Franke, J. M. Heck, T. King Liu, and R. T. Howe, " Polycrystalline silicon-germanium films for integrated microsystems ," J. Microelectromechanical Systems , vol. 12, no. 2, pp. 160-171, April 2003. B. Yu, L. Chang, S. Ahmed, H. Wang, S. Bell, C. Yang, C. Tabery, C. Ho, Q. Xiang, T. King Liu, J. Bokor, C. Hu, M. Lin, and D. Kyser, " FinFET scaling to 10nm gate length ," in 2002 IEEE Intl. Electron Devices Meeting Technical Digest , Piscataway, NJ: IEEE Press, 2002, pp. 251-254. Y. Choi, T. King Liu, and C. Hu, " A spacer patterning technology for nanoscale CMOS ," IEEE Trans. Electron Devices , vol. 49, no. 3, pp. 436-441, March 2002. Y. Yeo, V. Subramanian, J. Kedzierski, P. Xuan, T. King Liu, J. Bokor, and C. Hu, " Design and fabrication of 50-nm thin-body p-MOSFETs with a SiGe heterostructure channel (Paul Rappaport Award for 2002) ," IEEE Trans. Electron Devices , vol. 49, no. 2, pp. 279-286, Feb. 2002. . Awards, Memberships and Fellowships Silicon Valley Engineering Hall of Fame , 2018 National Academy of Engineering (NAE) Member , 2017 National Academy of Inventors (NAI) Fellow , 2017 SRC Aristotle Award , 2016 IEEE ISDRS Aldert van der Ziel Award , 2016 SIA University Researcher Award , 2014 Intel Outstanding Researcher Award in Nanotechnology , 2012 ECS Dielectric Science & Technology Division Thomas D. Callinan Award , 2011 IEEE Kiyo Tomiyasu Award , 2010 Jack Raper Award for Outstanding Technology Directions Paper at ISSCC , 2010 Distinguished Berkeley Faculty Mentor Award (FMA) , 2010 Institute of Electrical & Electronics Engineers (IEEE) Fellow , 2007 IEEE Electron Devices Society (EDS) Fellows , 2007 NAE Gilbreth Lectureship , 2006 SRC Inventor Recognition Award , 2005 Electrical Engineering Award for Outstanding Teaching , 2003 SRC Inventor Recognition Award , 2003 EDS Paul Rappaport Award , 2002 DARPATech Significant Technical Achievement Award , 2000 SRC Inventor Recognition Award , 2000 NSF Faculty Early Career Development Award (CAREER) , 1998 EMS Ross N. Tucker Award , 1992 . diff --git a/src/data/compiled_bios/3544.txt b/src/data/compiled_bios/3544.txt new file mode 100644 index 0000000000..054f6c72fa --- /dev/null +++ b/src/data/compiled_bios/3544.txt @@ -0,0 +1 @@ +Kam Y. Lau: Contact Information klau@eecs.berkeley.edu : Research Areas Communications & Networking (COMNET) Optoelectronic devices; Microwave and millimeter wave signal transport over optical fiber links . . . Biography Kam Y. Lau is Professor emeritus in the EECS department at U.C. Berkeley. He received his B.S., M.S.and Ph.D degrees in 1978, 1978 and 1981 respectively; all in Electrical Engineering from Caltech. Upon obtaining his doctorate, he joined Ortel Corporation as founding staff/chief scientist. His research in semiconductor laser dynamics established fundamental limits in speed and linearity of directly modulated laser diodes, central to linear fiber-optic transmission products for Hybrid-Fiber-Coax (HFC) infrastructure widely deployed today for CATV-distribution and cable-modem internet-access - the basis of Ortels successes - its IPO and subsequent acquisition by Lucent/Agere. He received the 1996 IEEE LEOS William Streifer Scientific Achievement Award, the 1996 IEEE LEOS Distinguished Lecturer Award, the 2008 OSA Nicholas Holonyak Award, the 2009 IEEE David Sarnoff Award, the 2009 IET J.J. Thomson Medal and the 2010 Benjamin Oliver Gold Medal for achievement in engineering from the Armed Forces Communications and Electronics Association. He was an Associate Professor of Electrical Engineering at Columbia University from 1988-90, and a professor of EECS at U.C. Berkeley since 1990. In 1997, he co-found LGC Wireless, Inc. (L of LGC.) LGC Wireless delivers cost-effective in-building wireless coverage and capacity solutions around the world. LGC Wireless was acquired by ADC Telecom (NASDAQ:ADCT) in 2007. Prof. Lau assumed Emeritus status in 2005. . . Selected Publications L. P. Chen and K. Y. Lau, " Regime where zero-bias is the low-power solution for digitally modulated laser diodes ," IEEE Photonics Technology Letters , vol. 8, no. 2, pp. 185-187, Feb. 1996. D. M. Cutrer and K. Y. Lau, " Ultralow power optical interconnect with zero-biased, ultralow threshold laser--How low a threshold is low enough? ," IEEE Photonics Technology Letters , vol. 7, no. 1, pp. 4-6, Jan. 1995. K. Y. Lau, C. M. Gee, T. R. Chen, N. Bar-Chaim, and I. Ury, " Signal-induced noise in fiber-optic links using directly modulated Fabry-Perot and distributed-feedback laser diodes ," IEEE J. Lightwave Technology , vol. 11, no. 7, pp. 1216-1225, July 1993. K. Y. Lau, " Narrow-band modulation of semiconductor lasers at millimeter wave frequencies (>100 GHz) by mode locking ," IEEE J. Quantum Electronics , vol. 26, no. 2, pp. 250-261, Feb. 1990. K. Y. Lau, P. L. Derry, and A. Yariv, " Ultimate limit in low threshold quantum well GaAlAs semiconductor lasers ," Applied Physics Letters , vol. 52, no. 2, pp. 88-90, Jan. 1988. Y. Arakawa, K. Vahala, A. Yariv, and K. Y. Lau, " Enhanced modulation bandwidth of GaAlAs double heterostructure lasers in high magnetic fields: Dynamic response with quantum wire effects ," Applied Physics Letters , vol. 47, no. 11, pp. 1142-1144, Dec. 1985. K. Y. Lau and A. Yariv, " Invited Paper: Ultra-high speed semiconductor lasers ," IEEE J. Quantum Electronics , vol. 21, no. 2, pp. 121-138, Feb. 1985. K. Y. Lau, N. Bar-Chaim, I. Ury, and A. Yariv, " 11-GHz direct modulation bandwidth GaAlAs window laser on semi-insulating substrate operating at room temperature ," Applied Physics Letters , vol. 45, no. 4, pp. 316-318, Aug. 1984. K. Y. Lau, C. Harder, and A. Yariv, " Direct modulation of semiconductor lasers at f > than 10 GHz by low-temperature operation ," Applied Physics Letters , vol. 44, no. 3, pp. 273-275, Feb. 1984. K. Y. Lau, N. Bar-Chaim, I. Ury, C. Harder, and A. Yariv, " Direct amplitude modulation of short-cavity GaAs lasers up to X-band frequencies ," Applied Physics Letters , vol. 43, no. 1, pp. 1-3, July 1983. . Awards, Memberships and Fellowships Aerospace Electronics Systems Society Pioneer Award , 2013 Distinguished Award for Excellence in Engineering (formerly the Benjamin H. Oliver Gold Medal for Engineering) , 2010 J J Thomson Medal for Electronics , 2009 IEEE David Sarnoff Award , 2009 Nick Holonyak Jr. Award , 2008 William Streifer Scientific Achievement Award , 1996 IEEE Photonics Society Distinguished Lecturer , 1996 Institute of Electrical & Electronics Engineers (IEEE) Fellow , 1995 NSF Presidential Young Investigator (PYI) , 1989 . diff --git a/src/data/compiled_bios/3545.txt b/src/data/compiled_bios/3545.txt new file mode 100644 index 0000000000..8402ab393c --- /dev/null +++ b/src/data/compiled_bios/3545.txt @@ -0,0 +1 @@ +Edward A. Lee: Contact Information 545Q Cory Hall tel: 510-643-3728 fax: 510-642-5745 eal@eecs.berkeley.edu : Research Areas Cyber-Physical Systems and Design Automation (CPSDA) Programming Systems (PS) Signal Processing (SP) Computer Architecture & Engineering (ARC) Communications & Networking (COMNET) Design, Modeling and Analysis (DMA) Embedded Software, Real-Time Systems, Cyber-Physical Systems, Concurrency . Research Centers Berkeley Center for New Media (BCNM) Industrial Cyber-Physical Systems Center (iCyPhy) . . Biography Edward A. Lee is the Robert S. Pepper Distinguished Professor in Electrical Engineering and Computer Sciences (EECS) at the University of California at Berkeley, where he has been on the faculty since 1986. He is the author of Plato and the Nerd - The Creative Partnership of Humans and Technology (MIT Press, 2017), a number of textbooks and research monographs, and more than 300 papers and technical reports. Lee has delivered more than 170 keynote and other invited talks at venues worldwide and has graduated at least 35 PhD students. Professor Lee's research group studies cyber-physical systems, which integrate physical dynamics with software and networks. His focus is on the use of deterministic models as a central part of the engineering toolkit for such systems. He is the director of the nine-university TerraSwarm Research Center (http://terraswarm.org), a director of iCyPhy, the Berkeley Industrial Cyber-Physical Systems Research Center, and the director of the Berkeley Ptolemy project. From 2005-2008, he served as chair of the EE Division and then chair of the EECS Department at UC Berkeley. He has led the development of several influential open-source software packages, notably Ptolemy and its various spinoffs. He received his BS degree in 1979 from Yale University, with a double major in Computer Science and Engineering and Applied Science, an SM degree in EECS from MIT in 1981, and a PhD in EECS from UC Berkeley in 1986. From 1979 to 1982 he was a member of technical staff at Bell Labs in Holmdel, New Jersey, in the Advanced Data Communications Laboratory. He is a co-founder of BDTI, Inc., where he is currently a Senior Technical Advisor, and has consulted for a number of other companies. He is a Fellow of the IEEE, was an NSF Presidential Young Investigator, won the 1997 Frederick Emmons Terman Award for Engineering Education, and received the 2016 Outstanding Technical Achievement and Leadership Award from the IEEE Technical Committee on Real-Time Systems (TCRTS). The following links may be useful: Personal home page Information for members of my research group Ptolemy Project home page Ptolemy II ( What is Ptolemy II? ) CHESS - Center for Hybrid and Embedded Software Systems Ptolemy II External Developers Group iCyPhy - Industrial Cyber-Physical Systems . Education 1986, PhD, EECS, UC Berkeley 1981, SM, EECS, MIT 1979, BS, CS and Eng. & Applied Science, Yale . Selected Publications H. Kim, E. Kang, E. A. Lee, and D. Broman, " A Toolkit for Construction of Authorization Service Infrastructure for the Internet of Things ," in Proceedings of the Second International Conference on Internet-of-Things Design and Implementation , IoTDI '17, New York, NY, USA: ACM, 2017, pp. 147--158. F. Cremona, M. Lohstroh, S. Tripakis, C. Brooks, and E. A. Lee, " FIDE - An FMI Integrated Development Environment ," in Symposium on Applied Computing , 2016. H. Kim, A. Wasicek, B. Mehne, and E. A. Lee, " A Secure Network Architecture for the Internet of Things Based on Local Authorization Entities ," in IEEE 4th International Conference on Future Internet of Things and Cloud (FiCloud) , 2016, pp. 114-122. M. Lohstroh, C. Brooks, and E. A. Lee, "Building IoT applications with accessors in CapeCode: demo abstract," in Proceedings of the 7th International Conference on Cyber-Physical Systems , 2016, pp. 41. D. Broman, L. Greenberg, E. A. Lee, M. Masin, S. Tripakis, and M. Wetter, "Requirements for Hybrid Cosimulation Standards," in Hybrid Systems: Computation and Control (HSCC 2015) , 2015. M. Lohstroh and E. A. Lee, " An Interface Theory for the Internet of Things ," in Software Engineering and Formal Methods: 13th International Conference, SEFM 2015, York, UK, September 7-11, 2015. Proceedings , 2015. B. Zhang, N. Mor, J. Kolb, D. S. Chan, N. Goyal, K. Lutz, E. Allman, J. Wawrzynek, E. A. Lee, and J. D. Kubiatowicz, " The Cloud is Not Enough: Saving IoT from the Cloud ," in Proceedings of the 7th USENIX Conference on Hot Topics in Cloud Computing , HotCloud'15, Berkeley, CA, USA: USENIX Association, 2015, pp. 21--21. H. Kim, D. Broman, E. A. Lee, M. Zimmer, A. Shrivastava, and J. Oh, " A predictable and command-level priority-based DRAM controller for mixed-criticality systems ," in Real-Time and Embedded Technology and Applications Symposium (RTAS), 2015 IEEE , 2015, pp. 317-326. E. Latronico, E. A. Lee, M. Lohstroh, C. Shaver, A. Wasicek, and M. Weber, " A Vision of Swarmlets ," IEEE Internet Computing, Special Issue on Building Internet of Things Software , vol. 19, no. 2, pp. 20-29, March 2015. D. Broman, M. Zimmer, Y. Kim, H. Kim, J. Cai, A. Shrivastava, S. A. Edwards, and E. A. Lee, "Precision Timed Infrastructure: Design Challenges," in Proceedings of the Electronic System Level Synthesis Conference (to appear). IEEE , 2013. S. Tripakis, C. Stergiou, C. Shaver, and E. A. Lee, " A modular formal semantics for Ptolemy ," Mathematical Structures in Computer Science , vol. 23, pp. 834--881, Aug. 2013. J. Eidson, E. A. Lee, S. Matic, S. A. Seshia, and J. Zou, " Distributed Real-Time Software for Cyber-Physical Systems ," Proceedings of the IEEE (special issue on CPS) , vol. 100, no. 1, pp. 45 - 59, Jan. 2012. P. Derler, E. A. Lee, and A. L. Sangiovanni-Vincentelli, " Modeling Cyber-Physical Systems ," Proceedings of the IEEE (special issue on CPS) , vol. 100, no. 1, pp. 13 - 28, Jan. 2012. E. A. Lee and S. A. Seshia, Introduction to Embedded Systems - A Cyber-Physical Systems Approach , Berkeley, CA: LeeSeshia.org, 2011. S. Tripakis, B. Lickly, T. A. Henzinger, and E. A. Lee, " A Theory of Synchronous Relational Interfaces ," ACM Transactions on Programming Languages and Systems (TOPLAS) , vol. 33, no. 4, July 2011. A. Goderis, C. Brooks, I. Altintas, E. A. Lee, and C. Gobel, " Heterogeneous Composition of Models of Computation ," Future Generation Computer Systems (FGCS) , vol. 25, no. 5, pp. 552-560, May 2009. E. A. Lee and E. Matsikoudis, " The semantics of dataflow with firing ," in From Semantics to Computer Science: Essays in Honour of Gilles Kahn , Y. Bertot, G. Huet, J. J. Levy, and G. Plotkin, Eds., Cambridge, UK: Cambridge University Press, 2009, ch. 4. J. Zou, S. Matic, E. A. Lee, and P. Derler, " Execution Strategies for PTIDES, a Programming Model for Distributed Embedded Systems ," in 15th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS) , 2009. X. Liu and E. A. Lee, " CPO semantics of timed interactive actor networks ," Theoretical Computer Science 409 , pp. 110-125, Dec. 2008. S. Forbes, H. Andrade, H. Patel, and E. A. Lee, " An Automated Mapping of Timed Functional Specification to A Precision Timed Architecture ," in 12th IEEE International Symposium on Distributed Simulation and Real Time Applications , 2008. . Awards, Memberships and Fellowships TCRTS Outstanding Technical Achievement and Leadership Award , 2016 Electrical Engineering Award for Outstanding Teaching , 1999 Frederick Emmons Terman Award of the Electrical and Computer Engineering Division , 1997 Institute of Electrical & Electronics Engineers (IEEE) Fellow , 1994 NSF Presidential Young Investigator (PYI) , 1987 . diff --git a/src/data/compiled_bios/3546.txt b/src/data/compiled_bios/3546.txt new file mode 100644 index 0000000000..bafeb201f4 --- /dev/null +++ b/src/data/compiled_bios/3546.txt @@ -0,0 +1 @@ +Luke Lee: Contact Information 408C Stanley Hall tel: 1-510-642-5855 fax: 1-510-642-5835 lplee@berkeley.edu : Research Areas Biosystems & Computational Biology (BIO) Micro/Nano Electro Mechanical Systems (MEMS) Physical Electronics (PHY) . Research Centers Berkeley Sensor & Actuator Center (BSAC) Tsinghua-UC Berkeley Shenzhen Institute (TBSI) . . Biography Professor Lee is the Arnold and Barbara Silverman Distinguished Professor of Bioengineering, Director of the Biomedical Institute for Global Healthcare Technology, and Co-Director of the Berkeley Sensor & Actuator Center (BSAC). His current research interests are bionanoscience, nanomedicine for global healthcare and personalized medicine, and Bioinspired Photonics-Optofluidics-Electronics Technology and Science (BioPOETS) for green building with living skin. Prior to joining BSAC, Professor Lee was the Chair Professor in Systems Nanobiology at the Swiss Federal Institute of Technology (ETH, Zurich) and has more than ten years of industrial experience in integrated optoelectronics, Superconducting Quantum Interference Devices (SQUIDs), and biomagnetic assays. Professor Lee is a 2010 Ho-Am Laureate and has authored and co-authored over 250 papers on bionanophotonics, microfluidics, single cell biology, quantitative biomedicine, molecular diagnostics, optofluidics, BioMEMS, biosensors, SQUIDs, SERS, and nanogap junction biosensor for label-free biomolecule detection. He received his B.A. degree in Biophysics and his Ph.D. degree in Applied Science & Technology: Applied Physics (major) / Bioengineering (minor) from the University of California, Berkeley. . Education 2000, Ph.D., Applied Physics and Bioengineering in Applied Science and Technology, UC Berkeley 1996, B.A., Biophysics, UC Berkeley . . Awards, Memberships and Fellowships American Institute for Medical and Biological Engineering (AIMBE) Fellow , 2012 . diff --git a/src/data/compiled_bios/3547.txt b/src/data/compiled_bios/3547.txt new file mode 100644 index 0000000000..e8a78f54e8 --- /dev/null +++ b/src/data/compiled_bios/3547.txt @@ -0,0 +1 @@ +Edwin R. Lewis: Contact Information 565 Cory Hall lewis@eecs.berkeley.edu : Research Areas Biosystems & Computational Biology (BIO) , Sensory neurobiology . . . Biography Concentrating on application of engineering to physiology, Lewis earned the AB (Biology), MS (EE) and Engineer (EE) degrees from Stanford in 1956, 1957 and 1959 respectively. Research for his Engineer degree was conducted in the Physiology Department of Stanford Medical School. His PhD research (in semiconductor physical electronics) was done at Stanford's Applied Electronics Lab. In 1961, he joined RF Reiss (General Precision Inc.) and TH Bullock (at UCLA) to reverse engineer a tiny piece of nervous system. He joined the Cal EE faculty in July, 1967 and retired from teaching in 2000, but continued in research for several more years. Throughout his career at Cal his primary research was reverse engineering of nervous systems, an enterprise involving nearly equal amounts of theoretical and experimental work. For most of his career at Cal, this work was aimed at the vertebrate inner ear. In 1968 Lewis established an ecology course for engineers and taught it for about a decade, until ecology became a formal focus of the Civil Engineering Department. During that time he was immersed in the campus ecology community, participating in teaching and advising activities, conducting research on ecological topics, and guiding the research of graduate students in that area. He also served as an advisor/reviewer for the Grasslands Biome part of the US/IBP (International Biome Program). Lewis oversaw the establishment of the bioelectronics option for undergraduate EE majors and continued to teach courses for that option until he retired. He also participated in teaching the campus-wide graduate course in cellular neurobiology, and in teaching the College of Engineering's Introduction to Bioengineering. For the latter, together with SA Berger (ME) and W Goldsmith (ME), Lewis organized and edited a text (Oxford University Press, 1996). From 1969 to 1977, Lewis was PI (director) of the campus Biomedical Engineering Training Grant from the NIH. In 1982-83, SA Burger (ME), S Glantz (UCSF Cardiology) and Lewis designed and founded the Joint UC Berkeley, UC San Francisco Graduate Program in Bioengineering. At Berkeley, that program was administered by the office of the College of Engineering's Associate Dean for Interdisciplinary Studies. From 1988 to 1996 Lewis held that position, and from 1988 to 1991 he served as Chair of the Executive Committee of the program. In 1983 Lewis formed and chaired a committee to revise the undergraduate Bioengineering Science program. The revisions made Bioengineering Science among the most competitive undergraduate majors on campus for freshman admission. It was the inspiration and model for the College's Engineering Undeclared option which was conceived by Lewis and put in place in 1996 by him and J Casey (ME). Lewis chaired the Faculty Senate Committee on Research (1973-76); he was the Graduate Division's Associate Dean for Research (1977-82) and a member of the Scientific and Educational Advisory Board of Lawrence Berkeley National Lab (1978-85). He also served on the advisory committee for the Biomedical Simulations Resource at USC (1995-2006). Descriptions of research in the Lewis Lab itself can be found on Lewis's personal homepage. In addition to the many undergraduate and MS students that came through the lab, there were twenty-six PhD students for whom Prof. Lewis served as mentor (chair of dissertation committee). Prof. Lewis is a Fellow of the Institute of Electrical and Electronic Engineers, a Fellow of the Acoustical Society of America, and an Emeritus Fellow of the Biomedical Engineering Society. He was awarded an NIH Jacob Javits Neuroscience Investigatorship in 1984. He also received a UC Berkeley Distinguished Teaching Award (1972) and the Berkeley Citation (1997). . Education 1959, Ph.D., Electrical Engineering, Stanford 1957, M.S., Electrical Engineering, Stanford 1956, A.B., Biology, Stanford . . Awards, Memberships and Fellowships Berkeley Citation , 1997 Javits Neuroscience Investigator Award , 1984 Institute of Electrical & Electronics Engineers (IEEE) Fellow , 1976 UC Berkeley Distinguished Teaching Award , 1972 . diff --git a/src/data/compiled_bios/3548.txt b/src/data/compiled_bios/3548.txt new file mode 100644 index 0000000000..8116b3c0bf --- /dev/null +++ b/src/data/compiled_bios/3548.txt @@ -0,0 +1 @@ +Allan J. Lichtenberg: Contact Information 259M Cory Hall tel: 510-642-4015 fax: 642-2845 ajl@eecs.berkeley.edu : Research Areas Energy (ENE) Nano-Optoelectronics, Electromagnetics/Plasmas . . . Biography He received his A.B. degree from Harvard University, 1952, his M.S. degree from Massachusetts Institute of Technology, 1957, and his Ph.D. degree from Oxford University, 1961. While he was at Oxford, he was an Associate Electronic Industries Fellow. In 1957 Professor Lichtenberg joined the faculty of the Department of Electrical Engineering of the University of California, Berkeley and is now Professor in the Graduate School. During his time at Berkeley, Professor Lichtenberg was a John Simon Guggenheim Memorial Foundation Fellow from 1965-1966 and studied radiation from high temperature plasmas and phase-space concepts in particle dynamics. He held a Miller Research Professorship at the University of California during 1968-1969 and he chaired the Energy and Resources graduate group from 1974-1978. Professor Lichtenberg has written and coauthored several books. His monograph, Phase Space Dynamics of Particles, was published by John Wiley, 1969, and has been translated into Russian. His second book, Regular and Stochastic Motion, co-authored with Michael A. Lieberman, was published by Springer-Verlag in 1983, and has also been translated into Russian. A second edition, Regular and Chaotic Dynamics, was published in 1991. A review and graduate text, also written with Professor Lieberman, Plasma Discharges and Materials Processing, was published by John Wiley in 1994 and an expanded (750 page) second edition was published in 2005. . Education 1961, Ph.D., Electrical Engineering, Oxford University 1957, M.S., Electrical Engineering, Massachusetts Institute of Technology 1952, A.B., Electrical Engineering, Harvard University . Selected Publications M. A. Lieberman and A. J. Lichtenberg, Principles of Plasma Discharges and Materials Processing , 2nd ed., Wiley Interscience, Hoboken, NJ: Wiley, 2005. M. A. Lieberman and A. J. Lichtenberg, Principles of Plasma Discharges and Materials Processing , 1st ed., Wiley-Interscience, Hoboken, NJ: John Wiley and Sons, 1994. A. J. Lichtenberg and M. A. Lieberman, Regular and Chaotic Dynamics , 2nd ed., Applied Mathematical Sciences, Vol. 38, New York, NY: Springer-Verlag, 1992. C. G. Goedde, A. J. Lichtenberg, and M. A. Lieberman, " Self-consistent stochastic electron heating in radio frequency discharges ," J. Applied Physics , vol. 64, no. 9, pp. 4375-4383, Nov. 1988. A. J. Lichtenberg and M. A. Lieberman, Regular and Stochastic Motion , 1st ed., Applied Mathematical Sciences, Vol. 38, New York, NY: Springer-Verlag, 1983. M. A. Lieberman and A. J. Lichtenberg, " Stochastic and adiabatic behavior of particles accelerated by periodic forces ," Physical Review A , vol. 5, no. 4, pp. 1852-1866, April 1972. B. G. Logan, A. J. Lichtenberg, M. A. Lieberman, and A. Makhijani, " Multiple-mirror confinement of plasmas ," Physical Review Letters , vol. 28, no. 3, pp. 144-147, Jan. 1972. . Awards, Memberships and Fellowships American Physical Society (APS) Fellow , 1972 Guggenheim Fellow , 1965 . diff --git a/src/data/compiled_bios/3549.txt b/src/data/compiled_bios/3549.txt new file mode 100644 index 0000000000..5b65c45119 --- /dev/null +++ b/src/data/compiled_bios/3549.txt @@ -0,0 +1 @@ +Michael A. Lieberman: Contact Information 261M Cory Hall tel: 510-643-6632 lieber@eecs.berkeley.edu : Research Areas Energy (ENE) Plasma-assisted materials processing . . . Biography Michael Lieberman received his B.S. and M.S. degrees from the Massachusetts Institute of Technology in 1962 and his Ph.D. degree from MIT in 1966. He joined the Department of Electrical Engineering and Computer Sciences at UC Berkeley in 1966. In 1971, he received the Distinguished Teaching Award of the Berkeley campus. He was a Guggenheim Fellow during 1972-3. He is a Fellow of the American Physical Society (APS), the American Association for the Advancement of Science (AAAS), the Institute of Electrical and Electronic Engineers (IEEE), the American Vacuum Society, the International Plasma Chemistry Society, and the Institute of Physics (Great Britain). He received the IEEE Plasma Science and Applications Award in 1995, the von Engel Prize of the International Union of Pure and Applied Physics in 2005, and the Will Allis Prize for Study of Ionized Gases in 2006. He has also collaborated with Prof. A.J. Lichtenberg on research in nonlinear dynamics. His monograph, co-authored with A.J. Lichtenberg, Regular and Stochastic Motion , was published by Springer-Verlag in 1983. A second edition, Regular and Chaotic Dynamics , was published in 1991. His latest book, also co-authored with A.J. Lichtenberg, Principles of Plasma Discharges and Materials Processing , was published by John Wiley and Sons in 1994. An expanded second edition was published in 2005, a Chinese language edition in 2007, and a Japanese language edition in 2010. . Education 1966, Ph.D., Electrical Engineering, MIT 1962, B.S., M.S., Electrical Engineering, MIT . Selected Publications M. A. Lieberman and A. J. Lichtenberg, Principles of Plasma Discharges and Materials Processing , 2nd ed., Wiley Interscience, Hoboken, NJ: Wiley, 2005. M. A. Lieberman and A. J. Lichtenberg, Principles of Plasma Discharges and Materials Processing , 1st ed., Wiley-Interscience, Hoboken, NJ: John Wiley and Sons, 1994. A. J. Lichtenberg and M. A. Lieberman, Regular and Chaotic Dynamics , 2nd ed., Applied Mathematical Sciences, Vol. 38, New York, NY: Springer-Verlag, 1992. A. J. Lichtenberg and M. A. Lieberman, Regular and Stochastic Motion , 1st ed., Applied Mathematical Sciences, Vol. 38, New York, NY: Springer-Verlag, 1983. . Awards, Memberships and Fellowships Will Allis Prize for the Study of Ionized Gases , 2006 Von Engel Prize , 2005 American Vacuum Society (AVS) Fellow , 2000 Plasma Science & Applications Award , 1995 Institute of Electrical & Electronics Engineers (IEEE) Fellow , 1994 American Association for the Advancement of Science (AAAS) Fellow , 1984 American Physical Society (APS) Fellow , 1980 International Plasma Chemistry Society (IPCS) Fellow , 1980 Guggenheim Fellow , 1972 UC Berkeley Distinguished Teaching Award , 1971 . diff --git a/src/data/compiled_bios/355.txt b/src/data/compiled_bios/355.txt new file mode 100644 index 0000000000..7fd4f2ab97 --- /dev/null +++ b/src/data/compiled_bios/355.txt @@ -0,0 +1 @@ +Name: Huynh, D.T.:: Position: Professor, Associate Dean for Administration & Finance:: Degrees: Ph.D., Computer Science, University of Saarland, Germany, 1978; M.S., Computer Science, University of Saarland, Germany, 1977; Research Interests: Wireless Ad Hoc and Sensor Networks; Combinatorial Algorithms; Computational Complexity Theory; Automata and Formal Languages; Program Analysis; RepresentativePublications: A Note on the Complexity of Minimum Latency Data Aggregation Scheduling with Uniform Power in the Physical Interference Model, (with Nhat Lam, Tien Tran and Min K. An), Theoretical Computer Science, 2014.; Bounded-degree Minimum-radius Spanning Trees in Wireless Sensor Networks, (with Min K. An, Nhat X. Lam and Trac Nguyen), Theoretical Computer Science, 2013.; Dual Power Assignment Optimization and Fault Tolerance in WSNs, (with Nhat Lam, Trac Nguyen and Min K. An), Journal of Combinatorial Optimization, 2013.; Broadcast Scheduling Problem in SINR Model, (with Nhat Lam, Min K. An and Trac Nguyen), International Journal of Foundations of Computer Science, 2013.; Minimum Latency Data Aggregation in the Physical Model, (with Min K. An, Nhat X. Lam and Trac Nguyen), Journal of Computer Communications, 2012.; diff --git a/src/data/compiled_bios/3550.txt b/src/data/compiled_bios/3550.txt new file mode 100644 index 0000000000..2f789647dc --- /dev/null +++ b/src/data/compiled_bios/3550.txt @@ -0,0 +1 @@ +Chunlei Liu: Contact Information 505 Cory Hall tel: (510)664 7596 chunlei.liu@eecs.berkeley.edu : Research Areas Biosystems & Computational Biology (BIO) Signal Processing (SP) Brain Imaging; Magnetic Resonance Imaging; Remote Neural Modulation . Research Centers Helen Wills Neuroscience Institute (HWNI) . Teaching Schedule Spring 2019 EE 16A. Designing Information Devices and Systems I , TuTh 3:30PM - 4:59PM, Wheeler 150 . Biography Chunlei Liu is an Associate Professor in the Department of Electrical Engineering and Computer Sciences, and the Helen Wills Neuroscience Institute at the University of California, Berkeley. He received a B.S. in Physics from Peking University, a M.S. in Physics from the University of North Carolina, Chapel Hill and a Ph.D. in Electrical Engineering from Stanford University. Before joining UC Berkeley, he was an Associate Professor of Radiology and Biomedical Engineering at Duke University. His current research interests are brain imaging and modulation. He develops MRI and signal processing techniques to study brain structure and function. His group also works on technologies for remote modulation of neuronal activities. He received NIH Pathway to Independence Award (K99) in 2006, ISMRM Young Investigator Award finalist in 2007 and RSNA Margulis Award in 2015. . Education 2005, Ph.D., Electrical Engineering, Stanford University 2003, M.S., Management Science and Engineering, Stanford University 2000, M.S., Physics, University of North Carolina, Chapel Hill 1998, B.S., Physics, Peking University, Beijing . Selected Publications M. Inoue, P. Chen, S. Siecinski, Q. Li, C. Liu, L. Steinman, S. G. Gregory, E. Benner, and M. L. Shinohara, " An interferon-[beta]-resistant and NLRP3 inflammasome-independent subtype of EAE with neuronal damage ," Nature Neuroscience , 2016. E. J. Benner, D. Luciano, R. Jo, K. Abdi, P. Paez-Gonzalez, H. Sheng, D. S. Warner, C. Liu, C. Eroglu, and C. T. Kuo, " Protective astrogenesis from the SVZ niche after injury is controlled by Notch modulator Thbs4 ," Nature , vol. 497, no. 7449, pp. 369--373, 2013. B. Wu, W. Li, A. Guidon, and C. Liu, " Whole brain susceptibility mapping using compressed sensing ," Magnetic resonance in medicine , vol. 67, no. 1, pp. 137--147, 2012. C. Liu, W. Li, G. A. Johnson, and B. Wu, " High-field (9.4 T) MRI of brain dysmyelination by quantitative mapping of magnetic susceptibility ," Neuroimage , vol. 56, no. 3, pp. 930--938, 2011. W. Li, B. Wu, and C. Liu, " Quantitative susceptibility mapping of human brain reflects spatial variation in tissue composition ," Neuroimage , vol. 55, no. 4, pp. 1645--1656, 2011. C. Liu, " Susceptibility tensor imaging ," Magnetic resonance in medicine , vol. 63, no. 6, pp. 1471--1477, 2010. C. Liu, R. Bammer, D. Kim, and M. E. Moseley, " Self-navigated interleaved spiral (SNAILS): application to high-resolution diffusion tensor imaging ," Magnetic resonance in medicine , vol. 52, no. 6, pp. 1388--1396, 2004. C. Liu, R. Bammer, B. Acar, and M. E. Moseley, " Characterizing non-gaussian diffusion by using generalized diffusion tensors ," Magnetic Resonance in Medicine , vol. 51, no. 5, pp. 924--937, 2004. . Awards, Memberships and Fellowships Alexander Margulis Award , 2015 . diff --git a/src/data/compiled_bios/3551.txt b/src/data/compiled_bios/3551.txt new file mode 100644 index 0000000000..133cce0e35 --- /dev/null +++ b/src/data/compiled_bios/3551.txt @@ -0,0 +1 @@ +Michael Lustig: Contact Information 506 Cory Hall tel: (510) 643-9338 mlustig@eecs.berkeley.edu : Research Areas Signal Processing (SP) Scientific Computing (SCI) Physical Electronics (PHY) Communications & Networking (COMNET) Biosystems & Computational Biology (BIO) Control, Intelligent Systems, and Robotics (CIR) Artificial Intelligence (AI) Computer Architecture & Engineering (ARC) Database Management Systems (DBMS) Design, Modeling and Analysis (DMA) Energy (ENE) Graphics (GR) Human-Computer Interaction (HCI) Integrated Circuits (INC) Micro/Nano Electro Mechanical Systems (MEMS) Operating Systems & Networking (OSNT) Programming Systems (PS) Security (SEC) Medical Imaging, Magnetic Resonance Imaging Computational Sensing/Imaging, Electrical Engineering, Computer Science, Biomedical Engineering . Research Centers Hyperpolarized MRI Technology Resource Center Center for Neural Engineering & Prostheses (CNEP) . Teaching Schedule Spring 2019 EE 123. Digital Signal Processing , MoWeFr 2:00PM - 2:59PM, Moffitt Library 101 EE 198-13. Directed Group Study for Advanced Undergraduates , We 5:30PM - 7:29PM, EE 298-13. Group Studies, Seminars, or Group Research , We 5:30PM - 7:29PM, . Biography Michael (Miki) Lustig is an Associate Professor in EECS. He joined the faculty of the EECS Department at UC Berkeley in Spring 2010. He received his B.Sc. in Electrical Engineering from the Technion, Israel Institute of Technology in 2002. He received his Msc and Ph.D. in Electrical Engineering from Stanford University in 2004 and 2008, respectively. His research focuses on computational imaging methods in medical imaging, particularly Magnetic Resonance Imaging (MRI). Miki is a Fellow of the Society of Magnetic Resonance in Medicine. . Education 2008, PhD, EE, Stanford University 2004, MSc, EE, Stanford University 2001, BSc, EE, Technion, IIT . Selected Publications M. Lustig, " For current publication list, look at my personal page. ," UC Berkeley , Oct. 2012. M. Lustig, " My Software Page ," 2012. . Awards, Memberships and Fellowships Electrical Engineering Award for Outstanding Teaching , 2016 Bakar Fellow , 2015 Okawa Research Grant , 2014 Sloan Research Fellow , 2013 Hellman Fellow , 2012 . diff --git a/src/data/compiled_bios/3552.txt b/src/data/compiled_bios/3552.txt new file mode 100644 index 0000000000..d667c3ee1a --- /dev/null +++ b/src/data/compiled_bios/3552.txt @@ -0,0 +1 @@ +Yi Ma: Contact Information 333A Cory Hall tel: (510) 664 4565 yima@eecs.berkeley.edu : Research Areas Artificial Intelligence (AI) Control, Intelligent Systems, and Robotics (CIR) Signal Processing (SP) Computer Vision Compressive Sensing . Research Centers Berkeley Artificial Intelligence Research Lab (BAIR) Center for Augmented Cognition (CAC) Tsinghua-UC Berkeley Shenzhen Institute (TBSI) FHL Vive Center for Enhanced Reality . Teaching Schedule Spring 2019 EE 299-109. Individual Research . Biography Yi Ma received his B.S. degree in Automation and Applied Mathematics from Tsinghua University, China in 1995, an M.S. degree in EECS in 1997, an M.A. degree in Mathematics in 2000, and a Ph.D. in EECS in 2000 all from UC Berkeley. He was on the faculty of ECE Department of the University of Illinois at Urbana-Champaign from 2000 to 2011. He was the manager of the Visual Computing Group and a principal researcher of Microsoft Research in Asia from 2009 to 2013. He was then a founding professor and the executive dean of the School of Information Science and Technology of ShanghaiTech University from 2014 to 2017. He joins the faculty of EECS of UC Berkeley in 2018. You may find a more detailed biography from the website at: http://people.eecs.berkeley.edu/~yima/Biography.html . Education 2000, Ph.D., EECS, University of California, Berkeley 2000, M.A., Mathematics, University of California, Berkeley 1997, M.S., EECS, University of California, Berkeley 1995, B.S., Automation & Applied Mathematics, Tsinghua University, China . Selected Publications R. Vidal, Y. Ma, and S. S. Sastry, Generalized Principal Component Analysis , first ed., Interdisciplinary Applied Mathematics, Vol. 40, New York: Springer-Verlag, 2016. E. Candes, X. Li, Y. Ma, and J. Wright, "Robust Principal Component Analysis," Journal of the ACM , vol. 58, no. 1, pp. 1--37, 2011. J. Wright, A. Yang, A. Ganesh, S. S. Sastry, and Y. Ma, "Robust Face Recognition via Sparse Representation," IEEE Transactions on Pattern Analysis and Machine Intelligence , vol. 31, no. 2, pp. 210 -- 227, 2009. Y. Ma, S. Soatto, J. Kosecka, and S. S. Sastry, An Invitation to 3D Vision: From Images to Models , first ed., Interdisciplinary Applied Mathematics, Vol. 26, New York: Springer-Verlag, 2004. . Awards, Memberships and Fellowships Association for Computing Machinery (ACM) Fellow , 2017 Institute of Electrical & Electronics Engineers (IEEE) Fellow , 2013 Office of Naval Research Young Investigator Program , 2005 NSF Faculty Early Career Development Award (CAREER) , 2004 ICCV Best Paper Award/David Marr Prize , 1999 . diff --git a/src/data/compiled_bios/3553.txt b/src/data/compiled_bios/3553.txt new file mode 100644 index 0000000000..a5e3fb226e --- /dev/null +++ b/src/data/compiled_bios/3553.txt @@ -0,0 +1 @@ +Michel Maharbiz: Contact Information 567 Cory Hall tel: 510-227-0196 maharbiz@eecs.berkeley.edu : Research Areas Biosystems & Computational Biology (BIO) Micro/Nano Electro Mechanical Systems (MEMS) . Research Centers Berkeley Sensor & Actuator Center (BSAC) SWARM Lab Center for Neural Engineering & Prostheses (CNEP) . . Biography Michel M. Maharbiz is a Professor with the Department of Electrical Engineering and Computer Science at the University of California, Berkeley. His research focuses on the extreme miniaturization of technology focused on building synthetic interfaces to cells and organisms. He is one of the inventors of "neural dust", an ultrasonic interface for vanishingly small implants in the body. His group is also known for developing the worlds first remotely radio-controlled cyborg beetles. This was named one of the top ten emerging technologies of 2009 by MITs Technology Review (TR10) and was in Time Magazines Top 50 Inventions of 2009. Prof. Maharbiz received his B.S. from Cornell University and his Ph.D. from the University of California, Berkeley under nanotechnologist Professor Roger T. Howe (EECS) and synthetic biologist Professor Jay D. Keasling (ChemE); his thesis work led to the foundation of Microreactor Technologies, Inc. which was acquired in 2009 by Pall Corporation. He is a Senior Member of the IEEE (Engineering in Medicine and Biology Society) and a member of the Society for Neuroscience. Prof. Maharbiz is a Chan-Zuckerberg (CZ) Biohub Investigator (2017), a Bakar Fellow (2014), recipient of a National Science Foundation CAREER Award (2009), a GE Scholar and an Intel IMAP Fellow. Michels long term goal is understanding developmental mechanisms as a way to engineer and fabricate machines. . Education 2003, PhD, EECS, University of California, Berkeley 1997, BS, EE, Cornell University . Selected Publications D. Seo, R. Neely, K. Shen, S. U, E. Alon, J. M. Rabaey, J. M. Carmena, and M. Maharbiz, "Wireless recording in the peripheral nervous system with ultrasonic neural dust," Neuron , vol. 91, pp. 529-539, April 2016. J. Hsia, W. Holtz, M. Maharbiz, M. Arcak, and J. Keasling, " Modular synthetic inverters from zinc finger proteins and small RNAs ," PLoS ONE , vol. 11, no. 2, pp. e0149483, Feb. 2016. R. Muller, H. Le, W. Li, P. Ledochowitsch, S. Gambini, T. Bjorninen, A. Koralek, J. M. Carmena, M. Maharbiz, E. Alon, and J. M. Rabaey, "A minimally invasive 64-channel wireless uECOG implant," Solid-State Circuits, IEEE Journal of , vol. 50, no. 1, pp. 344--359, 2015. J. H. Tu, M. Arcak, and M. Maharbiz, " Decoupling translational and rotational effects on the phase synchronization of rotating helices ," Phys. Rev. E , vol. 91, pp. 023018, Feb. 2015. E. Moradi, K. Koski, T. Bjorninen, R. Muller, P. Ledochowitsch, L. Sydanheimo, E. Alon, M. Maharbiz, J. M. Rabaey, L. Ukkonen, and R. Rahmat-Samii, "Advances in implantable and wearable antennas for wireless brain-machine interface systems," in Radio Science Meeting (USNC-URSI NRSM), 2014 United States National Committee of URSI National , 2014, pp. 1--1. R. Muller, H. Le, W. Li, P. Ledochowitsch, S. Gambini, T. Bjorninen, A. Koralek, J. M. Carmena, M. Maharbiz, E. Alon, and J. M. Rabaey, "A miniaturized 64-channel 225uW wireless electrocorticographic neural sensor," in Solid-State Circuits Conference Digest of Technical Papers (ISSCC), 2014 IEEE International , 2014, pp. 412--413. D. Seo, J. M. Carmena, J. M. Rabaey, M. Maharbiz, and E. Alon, "Model validation of untethered, ultrasonic neural dust motes for cortical recording," Journal of neuroscience methods , 2014. A. Bertrand, D. Seo, F. Maksimovic, J. M. Carmena, M. Maharbiz, E. Alon, and J. M. Rabaey, "Beamforming approaches for untethered, ultrasonic neural dust motes for cortical recording: a simulation study," in Proc. Int. Conf. of the IEEE Engineering in Medicine and Biology Society (EMBC), Chicago, Illinois, USA , 2014. D. J. Cohen, W. J. Nelson, and M. Maharbiz, "Galvanotactic control of collective cell migration in epithelial monolayers," Nature materials , 2014. A. Rufino Ferreira, J. Hsia, M. Arcak, M. Maharbiz, and A. Arkin, " Pattern formation with a compartmental lateral inhibition system ," in Proceedings of the 53rd IEEE Conference on Decision and Control , 2014, pp. 5413-5418. J. Van Kleef, T. Massey, P. Ledochowitsch, R. Muller, R. Tiefenauer, T. Blanche, H. Sato, and M. Maharbiz, "Cyborg insects, neural interfaces and other things: building interfaces between the synthetic and the multicellular," in Proceedings of the Conference on Design, Automation and Test in Europe , 2013, pp. 1546--1546. P. Ledochowitsch, R. Tiefenauer, B. Pepin, M. Maharbiz, and T. Blanche, "Nanoflex for neural nanoprobes," in Solid-State Sensors, Actuators and Microsystems (TRANSDUCERS \& EUROSENSORS XXVII), 2013 Transducers \& Eurosensors XXVII: The 17th International Conference on , 2013, pp. 1278--1281. D. J. Cohen and M. Maharbiz, "A Do-It-Yourself (DIY) Guide to Using Carbon Nanotubes for Stretchable Electronics and Sensors," in Nanoscale Sensors , Springer, 2013, pp. 225--244. V. G. Krishnan, V. Romanin, V. P. Carey, and M. Maharbiz, "Design and scaling of microscale Tesla turbines," Journal of Micromechanics and Microengineering , vol. 23, no. 12, pp. 125001, 2013. J. Van Kleef, T. Massey, P. Ledochowitsch, R. S. Muller, R. Tiefenauer, T. Blanche, H. Sato, and M. Maharbiz, "Cyborg insects, neural interfaces and other things: building interfaces between the synthetic and the multicellular," in Proceedings of the Conference on Design, Automation and Test in Europe , 2013, pp. 1546--1546. D. Seo, J. M. Carmena, J. M. Rabaey, E. Alon, and M. Maharbiz, "Neural dust: an ultrasonic, low power solution for chronic brain-machine interfaces," arXiv preprint arXiv:1307.2196 , 2013. P. Ledochowitsch, A. Koralek, D. Moses, J. M. Carmena, and M. Maharbiz, "Sub-mm functional decoupling of electrocortical signals through closed-loop BMI learning," in Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE , 2013, pp. 5622--5625. J. P. van Kleef, T. Massy, and M. Maharbiz, "An ocellar-based flight control system for flying insects," IEEE EMBC Short Papers No , vol. 2664, 2013. T. Bjorninen, R. Muller, P. Ledochowitsch, L. Sydanheimo, L. Ukkonen, M. Maharbiz, and J. M. Rabaey, "Design of wireless links to implanted brain--machine interface microelectronic systems," Antennas and Wireless Propagation Letters, IEEE , vol. 11, pp. 1663--1666, 2012. J. Hsia, W. Holtz, M. Maharbiz, and M. Arcak, " New architecture for patterning gene expression using zinc finger proteins and small RNAs ," in Proceedings of the 51st IEEE Conference on Decision and Control , 2012, pp. 1633-1638. . Awards, Memberships and Fellowships McKnight Technological Innovations in Neuroscience Award , 2017 Bakar Fellow , 2012 MIT Tech Review Top 10 Breakthrough Technologies (TR10) , 2009 NSF Faculty Early Career Development Award (CAREER) , 2009 . diff --git a/src/data/compiled_bios/3554.txt b/src/data/compiled_bios/3554.txt new file mode 100644 index 0000000000..e4b87ba897 --- /dev/null +++ b/src/data/compiled_bios/3554.txt @@ -0,0 +1 @@ +Jitendra Malik: Contact Information 722 Sutardja Dai Hall tel: 510-642-7597 malik@berkeley.edu : Research Areas Artificial Intelligence (AI) Biosystems & Computational Biology (BIO) Control, Intelligent Systems, and Robotics (CIR) Graphics (GR) Human-Computer Interaction (HCI) Signal Processing (SP) . Research Centers Berkeley Center for New Media (BCNM) Partners for Advanced Transit and Highways (PATH) Simons Institute for the Theory of Computing (SITC) Computer Graphics at Berkeley (B-CAM) Berkeley Artificial Intelligence Research Lab (BAIR) CITRIS People and Robots (CPAR) Berkeley Deep Drive (BDD) . Teaching Schedule Spring 2019 CS C280. Computer Vision , WeFr 10:00AM - 11:29AM, Soda 306 . Biography Jitendra Malik is Arthur J. Chick Professor in the Department of Electrical Engineering and Computer Science at the University of California at Berkeley, where he also holds appointments in vision science, cognitive science and Bioengineering. He received the PhD degree in Computer Science from Stanford University in 1985 following which he joined UC Berkeley as a faculty member. He served as Chair of the Computer Science Division during 2002-2006, and of the Department of EECS during 2004-2006. Jitendra's group has worked on computer vision, computational modeling of biological vision, computer graphics and machine learning. Several well-known concepts and algorithms arose in this work, such as anisotropic diffusion, normalized cuts, high dynamic range imaging and shape contexts. He was awarded the Longuet-Higgins Award for A Contribution that has Stood the Test of Time twice, in 2007 and 2008, received the PAMI Distinguished Researcher Award in computer vision in 2013 the K.S. Fu prize in 2014, and the IEEE PAMI Helmholtz prize for two different papers in 2015. Jitendra Malik is a Fellow of the IEEE, ACM, and the American Academy of Arts and Sciences, and a member of the National Academy of Sciences and the National Academy of Engineering. . Education 1980, B.Tech, Electrical Engineering, Indian Institute of Technology, Kanpur 1975, Ph.D., Computer Science, Stanford University . Selected Publications J. Barron and J. Malik, "High-Frequency Shape and Albedo from Shading using Natural Image Statistics," in Computer Vision and Pattern Recognition , 2011. J. Lim, P. Arbelaez, C. Gu, and J. Malik, "Context by Region Ancestry," in International Conference on Computer Vision , 2009. C. Bregler, J. Malik, and K. Pullen, " Twist based acquisition and tracking of animal and human kinematics ," Intl. J. Computer Vision , vol. 56, no. 3, pp. 179-194, Feb. 2004. C. Carson, S. Belongie, H. Greenspan, and J. Malik, " Blobworld: Image segmentation using expectation-maximization and its application to image querying ," IEEE Trans. Pattern Analysis and Machine Intelligence , vol. 24, no. 8, pp. 1026-1038, Aug. 2002. S. Belongie and J. Puzicha, " Shape matching and object recognition using shape contexts ," IEEE Trans. Pattern Analysis and Machine Intelligence , vol. 24, no. 4, pp. 509-522, April 2002. J. Shi and J. Malik, " Normalized cuts and image segmentation (2007 CVPR Longuet-Higgins Prize) ," IEEE Trans. Pattern Analysis and Machine Intelligence , vol. 22, no. 8, pp. 888-905, Aug. 2000. J. Malik, B. L. Anderson, and C. E. Chaowhas, " Stereoscopic occlusion junctions ," Nature Neuroscience , vol. 2, no. 9, pp. 840-843, Sep. 1999. B. Coifman, D. Beymer, P. McLauchlan, and J. Malik, " A real-time computer vision system for vehicle tracking and traffic surveillance ," Transportation Research Part C: Emerging Technologies , vol. 6, no. 4, pp. 271-288, Aug. 1998. P. E. Debevec and J. Malik, " Recovering high dynamic range radiance maps from photographs ," in Proc. 24th Annual Conf. on Computer Graphics and Interactive Techniques (SIGGRAPH '97) , New York, NY: ACM Press/Addison-Wesley Publishing Co., 1997, pp. 369-378. D. Forsyth, J. Malik, and R. Wilensky, " Searching for digital pictures ," Scientific American , vol. 276, no. 6, pp. 88-93, June 1997. P. E. Debevec, C. J. Taylor, and J. Malik, " Modeling and rendering architecture from photographs: A hybrid geometry- and image-based approach ," in Proc. 23rd Annual Conf. on Computer Graphics and Interactive Techniques (SIGGRAPH '96) , New York, NY: The Association for Computing Machinery, Inc., 1996, pp. 11-20. P. Perona and J. Malik, " Scale-space and edge detection using anisotropic diffusion ," IEEE Trans. Pattern Analysis and Machine Intelligence , vol. 12, no. 7, pp. 629-639, July 1990. J. Malik and P. Perona, " Preattentive texture discrimination with early vision mechanisms ," J. Optical Society of America A: Optics and Image Science , vol. 7, no. 5, pp. 923-932, May 1990. . Awards, Memberships and Fellowships IJCAI Award for Research Excellence , 2018 ICCV Helmholtz Prize , 2017 ACM-AAI Allen Newell Award , 2016 National Academy of Sciences (NAS) Member , 2015 ICCV Helmholtz Prize , 2015 King-Sun Fu Prize , 2014 American Academy of Arts and Sciences Member , 2013 PAMI Distinguished Researcher Award , 2013 National Academy of Engineering (NAE) Member , 2011 Association for Computing Machinery (ACM) Fellow , 2008 CVPR Longuet-Higgins Prize , 2008 CVPR Longuet-Higgins Prize , 2007 Institute of Electrical & Electronics Engineers (IEEE) Fellow , 2005 Diane S. McEntyre Award for Excellence in Teaching Computer Science , 2000 NSF Presidential Young Investigator (PYI) , 1989 . diff --git a/src/data/compiled_bios/3555.txt b/src/data/compiled_bios/3555.txt new file mode 100644 index 0000000000..51f36ed295 --- /dev/null +++ b/src/data/compiled_bios/3555.txt @@ -0,0 +1 @@ +David G. Messerschmitt: Contact Information 505 Cory Hall tel: 510-642-1090 messer@eecs.berkeley.edu : Research Areas Communications & Networking (COMNET) Signal Processing (SP) Business and economics issues in the software industry . Research Centers Berkeley Center for New Media (BCNM) . . Biography David G. Messerschmitt is the Roger A. Strauch Professor Emeritus of EECS at UC Berkeley, a Visiting Professor in the Department of Computer Science and Engineering at the Helsinki University of Technology, and a Visiting Scientist at the SETI Institute. He has served as the Acting Dean of School of Information Management and Systems and Chair of the EECS Department, and prior to 1977 he was with AT&T Bell Laboratories. Current research focuses on business and economics relevant to computing and communications technology. In Helsinki he is performing research and the foundations of software business in the Software Business Laboratory. At the SETI Institute he is proposing the expansion of the types of signals being searched in the new Allen Telescope Array. He is the co-author of Software Ecosystem: Understanding an Indispensable Technology and Industry (MIT Press, 2003), author of Understanding Networked Applications (Morgan-Kaufmann, 1999), and co-author of a widely used textbook Digital Communications (Kluwer, 1993). He is a co-founder and former Director of TCSI Corporation of Alameda California (now a division of Rocket Software), has served on the Advisory Boards of the Fisher Center for Management & Information Technology in the Haas School of Business and the Directorate for Computer and Information Sciences and Engineering at the National Science Foundation, and is currently participating in a National Research Council (NRC) study on telecommunications research and development. He recently served as a member of the NSF Blue Ribbon Panel on Cyberinfrastructure, co-chaired a National Research Council (NRC) study on the future of information technology research, and served on the Computer Science and Telecommunications Board of NRC. He received a Ph.D. in Computer, Information, and Control Engineering from the University of Michigan and an undergraduate degree from the University of Colorado. He is a Fellow of the IEEE, a Member of the National Academy of Engineering, and a recipient of the IEEE Alexander Graham Bell Medal recognizing "exceptional contributions to the advancement of communication sciences and engineering". . . Selected Publications D. G. Messerschmitt, " Rethinking components: From hardware and software to systems ," IEEE Proceedings , vol. 96, no. 7, pp. 1473-96, July 2007. D. G. Messerschmitt and C. Szyperski, Software Ecosystem: Understanding an Indispensable Technology and Industry , Cambridge, MA: MIT Press, 2003. J. R. Barry, E. A. Lee, and D. G. Messerschmitt, Digital Communication , 3rd ed., Boston, MA: Kluwer Academic Publishers, 2003. D. G. Messerschmitt, Understanding Networked Applications: A First Course , The Morgan Kaufmann Series in Networking, San Francisco, CA: Morgan Kaufmann, 2000. D. G. Messerschmitt, Networked Applications: A Guide to the New Computing Infrastructure , San Francisco, CA: Morgan Kaufmann, 1999. D. G. Messerschmitt, " The convergence of communications and computing: What are the implications today? ," Proc. IEEE , vol. 84, no. 8, pp. 1167-1186, Aug. 1996. E. A. Lee and D. G. Messerschmitt, Digital Communication , 2nd ed., Boston: Kluwer Academic Publishers, 1994. J. T. Buck, S. Ha, E. A. Lee, and D. G. Messerschmitt, " Ptolemy: A framework for simulating and prototyping heterogeneous systems ," Intl. J. Computer Simulation , vol. 4, no. 2, pp. 155-182, April 1994. D. G. Messerschmitt, " Synchronization in digital system design ," IEEE J. Selected Areas of Communications , vol. 8, no. 8, pp. 1404-1419, Oct. 1990. K. K. Parhi and D. G. Messerschmitt, " Pipeline interleaving and parallelism in recursive digital filters--Part I: Pipelining using scattered look-ahead and decomposition ," IEEE Trans. Acoustics, Speech, and Signal Processing , vol. 37, no. 7, pp. 1099-1117, July 1989. E. A. Lee and D. G. Messerschmitt, " Synchronous data flow ," Proc. IEEE , vol. 75, no. 9, pp. 1235-1245, Sep. 1987. E. A. Lee and D. G. Messerschmitt, " Pipeline interleaved programmable DSPs: Architecture ," IEEE Trans. Acoustics, Speech and Signal Processing , vol. 35, no. 9, pp. 1320-1333, Sep. 1987. E. A. Lee and D. G. Messerschmitt, " Static scheduling of synchronous data flow programs for digital signal processing ," IEEE Trans. Computers , vol. C-3, no. 1, pp. 24-35, Jan. 1987. M. L. Honig and D. G. Messerschmitt, Adaptive Filters: Structures, Algorithms, and Applications , The Kluwer International Series in Engineering and Computer Science; SECS 1, Boston: Kluwer, 1984. D. G. Messerschmitt, " Echo cancellation in speech and data transmission ," IEEE J. Selected Areas of Communications , vol. 2, no. 2, pp. 283-297, March 1984. O. Agazzi, D. G. Messerschmitt, and D. A. Hodges, " Nonlinear echo cancellation of data signals ," IEEE Trans. Communications , vol. 30, no. 11, pp. 2421-2433, Nov. 1982. D. G. Messerschmitt, " Frequency detectors for PLL acquisition in timing and carrier recovery ," IEEE Trans. Communications , vol. 27, no. 9, pp. 1288-1295, Sep. 1979. D. Duttweiler, J. Mazo, and D. G. Messerschmitt, " An upper bound on the error probability in decision-feedback equalization ," IEEE Trans. Information Theory , vol. 20, no. 4, pp. 490-497, July 1974. D. G. Messerschmitt, " A geometric theory of intersymbol interference ," Bell System Technical J. , vol. 52, no. 9, pp. 1483-1519, Nov. 1973. . Awards, Memberships and Fellowships Berkeley Citation , 2005 SPS 2000 Millennium Medal , 2000 IEEE Alexander Graham Bell Medal , 1999 Signal Processing Society Technical Achievement Award , 1993 National Academy of Engineering (NAE) Member , 1990 IEEE COMSOC Outstanding Young Engineer Award , 1984 Institute of Electrical & Electronics Engineers (IEEE) Fellow , 1983 . diff --git a/src/data/compiled_bios/3556.txt b/src/data/compiled_bios/3556.txt new file mode 100644 index 0000000000..1e6d4abe4f --- /dev/null +++ b/src/data/compiled_bios/3556.txt @@ -0,0 +1 @@ +Robert G. Meyer: Contact Information 505 Cory Hall tel: 510-642-8026 rmeyer@eecs.berkeley.edu : Research Areas Integrated Circuits (INC) . . . Biography Professor Meyer received the Bachelor of Electrical Engineering degree (First Class Honors) in 1963 from the University of Melbourne, Australia, and in 1965 he was awarded the degree of Master of Engineering Science (Honors) for his thesis entitled 'Evaluation of noise parameters of bipolar and field-effect transistors.' In 1968 he was awarded the Ph.D. degree from the University of Melbourne for his thesis entitled 'Signal and noise performance of transistor mixers.' He was awarded the J.J Thomson Premium for 1968 from the Institution of Electrical Engineers for research on noise in transistor mixers. From January to September, 1968, Professor Meyer was employed as an Assistant Lecturer in Electrical Engineering at the University of Melbourne. Since September, 1968, he has been employed in the Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, where he is now National Semiconductor Distinguished Professor Emeritus. His current research interests are integrated-circuit design and device fabrication, with particular emphasis on nonlinear phenomena and noise performance. He is co-author of the book Analysis and Design of Analog Integrated Circuits, (Wiley, 1977, 1984, 1993, 2001), editor of the book Integrated Circuit Operational Amplifiers, (IEEE Press, 1978), and co-editor of the book Integrated Circuits for Wireless Communications, (IEEE Press, 1999). He has acted as a consultant on electronic circuit design for numerous companies in the electronics industry. He is a past President of the Solid-State Circuits Council of the IEEE. In 1973, 1976 and 1987 he was a Guest Editor of the IEEE Journal of Solid-State Circuits and from 1976 to 1982 he was an Associate Editor of the Journal. He is a former Associate Editor of the IEEE Transactions on Circuits and Systems. In 1975 he was a Visiting Professor in the Electrical Engineering Department of the Catholic University of Leuven, Belgium, and in 1996 and 2003, he was a Visiting Professor in the Electrical Engineering Department of Columbia University, New York. In 2003, he received the IEEE Leon K. Kirchmayer Graduate Teaching Award for distinguished graduate teaching. In 2014, he received the IEEE Donald O. Pederson Award for pioneering contributions to the design and modeling of analog and radio-frequency circuits. He holds eight U.S. patents, and he is a Fellow of the IEEE. . . Selected Publications H. Dogan, R. G. Meyer, and A. Niknejad, " Analysis and Design of RF CMOS Attenuators ," IEEE Journal of Solid-State Circuits , vol. 43, no. 10, pp. 2269-2283, Oct. 2008. H. Dogan, R. G. Meyer, and A. Niknejad, "A DC-2.5GHz wide dynamic-range attenuator in .13 m CMOS technology," in VLSI Circuits Digest of Technical Papers , 2005, pp. N/A. H. Dogan, R. G. Meyer, and A. Niknejad, "S DC-10 GHz linear-in-dB attenuator in .13 micron CMOS technology," in Proceedings of CICC , 2004, pp. 609-612. A. Berny, A. Niknejad, and R. G. Meyer, "A 1.8 GHz Lc VCO with 1.3 GHz tuning range and mixed-signal amplitude calibration," in VLSI Circuits Digest of Technical Papers , 2004, pp. 54-57. A. Berny, A. Niknejad, and R. G. Meyer, "A wideband low-phase-noise CMOS VCO," in Proceedings of CICC , 2003, pp. 555-558. A. Niknejad and R. G. Meyer, "Analysis of eddy current losses over highly conductive substrates," IEEE Transactions on Microwave Theory and Techniques , vol. 49, no. 1, pp. 166-176, Jan. 2001. A. Niknejad, J. Tham, and R. G. Meyer, "Fully-integrated low phase noise bipolar differential VCOs at 2.9 and 4.4 GHz," in Proceedings of ESSCIRC , 1999, pp. 198-201. A. Niknejad and R. G. Meyer, "Analysis, design, and optimization of spiral inductors and transformers for Si RF ICs," IEEE Journal of Solid State Circuits , vol. 33, no. 10, pp. 1470-1481, Oct. 1998. A. Niknejad and R. G. Meyer, "Analysis and optimization of monolithic inductors and transformers for RF ICs," in Proceedings of CICC , 1997, pp. 375-378. N. M. Nguyen and R. G. Meyer, " Si IC-compatible inductors and LC passive filters ," IEEE J. Solid-State Circuits , vol. 25, no. 4, pp. 1028-1031, Aug. 1990. R. G. Meyer and D. C. Soo, " MOS crystal oscillator design ," IEEE J. Solid-State Circuits , vol. 15, no. 2, pp. 222-228, April 1980. R. G. Meyer, R. Eschenbach, and R. Chin, " A wide-band ultralinear amplifier from 3 to 300 MHz ," IEEE J. Solid-State Circuits , vol. 9, no. 4, pp. 167-175, Aug. 1974. W. M. C. Sansen and R. G. Meyer, " Distortion in bipolar transistor variable-gain amplifiers ," IEEE J. Solid-State Circuits , vol. 8, no. 4, pp. 275-282, Aug. 1973. R. G. Meyer, M. J. Shensa, and R. Eschenbach, " Cross modulation and intermodulation in amplifiers at high frequencies ," IEEE J. Solid-State Circuits , vol. 7, no. 1, pp. 16-23, Feb. 1972. . Awards, Memberships and Fellowships IEEE Donald O. Pederson Award in Solid-State Circuits , 2014 IEEE Leon K. Kirchmayer Graduate Teaching Award , 2003 Electrical Engineering Award for Outstanding Teaching , 2001 SSCS 2000 Millennium Medal , 2000 Institute of Electrical & Electronics Engineers (IEEE) Fellow , 1981 . diff --git a/src/data/compiled_bios/3557.txt b/src/data/compiled_bios/3557.txt new file mode 100644 index 0000000000..7bb6edb6d4 --- /dev/null +++ b/src/data/compiled_bios/3557.txt @@ -0,0 +1 @@ +Nelson Morgan: Contact Information 600 International Computer Science Institute tel: 510-666-2931 fax: 666-2956 morgan@icsi.berkeley.edu : Research Areas Signal Processing (SP) . Research Centers International Computer Science Institute (ICSI) Berkeley Artificial Intelligence Research Lab (BAIR) . . Biography Nelson Morgan is the former Director of the International Computer Science Institute (ICSI), an independent not-for profit research laboratory that is closely affiliated with UC Berkeley. He also led the Speech Group at ICSI from 1988 to 2013. He is a Professor-in-residence Emeritus in the EECS Department at the University of California at Berkeley, where he received his Ph.D. as an NSF Fellow in 1980. He has been working on problems in signal processing and pattern recognition since 1974, with a primary emphasis on speech processing. He is a former Editor-in-chief of Speech Communication , and has been a member of the IEEE Speech Technical Committee, the IEEE Neural Networks Committee, and the ISCA Advisory Council. He is also a Fellow of the IEEE and of the International Speech Communication Association (ISCA). In 1997, he received the Signal Processing Magazine best paper award. He was the Principal Investigator for the multi-site coalition, funded by the DARPA EARS Novel Approaches project, which was the 2002-5 U.S. government program focusing on long-term progress in speech recognition. Professor Morgan has over 200 publications, including three books; his most recent book is a text (written jointly with Ben Gold, and more recently its second edition with Dan Ellis) on speech and audio signal processing. He holds a number of patents in speech processing methods, including one that is currently being used in millions of CDMA cell phones. His research interests include the redesign from first principles of the primary signal processing used in speech recognition systems and the use of neural networks for the design of these new features. He is also now working on a wholly unrelated project to find structural and technological means to reduce the political influence of large campaign contributions. Professor Morgan is also on a number of Boards: the Board of Trustees of ICSI; the Board of Trustees of the Toyota Technological Institute at Chicago; the Speech Communication Editorial Board; and Sensory, Inc.'s Advisory Board. . Education 1980, PhD, EE, College of Engineering . Selected Publications O. Vinyals and N. Morgan, "Deep vs. Wide: Depth on a Budget for Robust Speech Recognition," in Proceedings of the 14th Annual Conference of the International Speech Communication Association (Interspeech 2013) , 2013. R. Stern and N. Morgan, " Hearing is Believing: Biologically-Inspired Feature Extraction for Robust Automatic Speech Recognition ," Signal Processing Magazine , vol. 29, no. 6, pp. 34-43, Nov. 2012. N. Morgan, " Deep and Wide: Multiple Layers in Automatic Speech Recognition ," IEEE Transactions on Audio, Speech, and Language Processing , vol. 20, no. 1, pp. 7-13, Jan. 2012. B. Gold, N. Morgan, and D. Ellis, Speech and Audio Signal Processing: Processing and Perception of Speech and Music , 2nd ed., Wiley, 2011. J. Chong, G. Friedland, A. Janin, N. Morgan, and C. Oei, " Opportunities and Challenges of Parallelizing Speech Recognition ," in 2nd USENIX Workshop on Hot Topics in Parallelism (HotPar'10) , 2010. J. M. Baker, L. Deng, J. Glass, S. Khudanpur, C. Lee, N. Morgan, and D. O'Shaugnessy, "Research Developments and Directions in Speech Recognition and Understanding, Part 2," IEEE Signal Processing Magazine , vol. 26, no. 4, pp. 78-85, July 2009. J. M. Baker, L. Deng, J. Glass, S. Khudanpur, C. Lee, N. Morgan, and D. O'Shaugnessy, " Research Developments and Directions in Speech Recognition and Understanding, Part 1 ," IEEE Signal Processing Magazine , vol. 26, no. 3, pp. 75-80, May 2009. N. Morgan, Q. Zhu, A. Stolcke, K. Sonmez, S. Sivadas, T. Shinozaki, M. Ostendorf, P. Jain, H. Hermansky, D. Ellis, G. Doddington, B. Chen, O. Cretin, H. Bourlard, and M. Athineos, " Pushing the envelope - aside [speech recognition] ," IEEE Signal Processing Magazine , vol. 22, no. 5, pp. 81-88, Sep. 2005. N. Morgan, D. Baron, S. Bhagat, H. Carvey, R. Dhillon, J. Edwards, D. Gelbart, A. Janin, A. Krupski, B. Peskin, T. Pfau, E. Shriberg, A. Stolcke, and C. Wooters, " Meetings about meetings: Research at ICSI on speech in multiparty conversations ," in Proc. 2003 IEEE Intl. Conf. on Acoustics, Speech, and Signal Processing , Vol. 4, Piscataway, NJ: IEEE Press, 2003, pp. 740-743. N. Morgan and E. Fosler-Lussier, " Combining multiple estimators of speaking rate ," in Proc. 1998 IEEE Intl. Conf. on Acoustics, Speech and Signal Processing , Vol. 2, Piscataway, NJ: IEEE Press, 1998, pp. 729-732. N. Morgan and H. Bourlard, " Continuous speech recognition: An introduction to the hybrid HMM/connectionist approach ," IEEE Signal Processing Magazine , vol. 12, no. 3, pp. 25-42, May 1995. H. Hermansky and N. Morgan, " RASTA processing of speech ," IEEE Trans. Speech and Audio Processing , vol. 2, no. 4, pp. 578-589, Oct. 1994. N. Morgan, H. Bourlard, S. Greenberg, and H. Hermansky, " Stochastic perceptual auditory-event-based models for speech recognition ," in Proc. 1994 Intl. Conf. on Spoken Language Processing , Vol. 4, Tokyo, Japan: Acoustical Society of Japan, 1994, pp. 1943-1946. N. Morgan, " Big dumb neural nets: A working brute force approach to speech recognition ," in Proc. 1994 IEEE Intl. Conf. on Neural Networks: IEEE World Congress on Computational Intelligence , Vol. 7, Piscataway, NJ: IEEE Press, 1994, pp. 4462-4465. N. Morgan and H. Bourlard, " Factoring networks by a statistical method ," Neural Computation , vol. 4, no. 6, pp. 835-838, Nov. 1992. A. S. Gevins, N. Morgan, S. L. Bressler, B. A. Cutillo, R. M. White, J. Illes, D. S. Greer, J. C. Doyle, and G. M. Zeitlin, " Human neuroelectric patterns predict performance accuracy ," Science , vol. 235, no. 4788, pp. 580-585, Jan. 1987. A. S. Gevins and N. Morgan, " "Ignorance-based" systems ," in Proc. 1984 IEEE Intl. Conf. on Acoustics, Speech, and Signal Processing , Vol. 9, Piscataway, NJ: IEEE Press, 1984, pp. 39A.5.1-4. . Awards, Memberships and Fellowships International Speech Communication Association (ISCA) Fellow , 2010 Institute of Electrical & Electronics Engineers (IEEE) Fellow , 1999 . diff --git a/src/data/compiled_bios/3558.txt b/src/data/compiled_bios/3558.txt new file mode 100644 index 0000000000..725748a26f --- /dev/null +++ b/src/data/compiled_bios/3558.txt @@ -0,0 +1 @@ +Richard S. Muller: Contact Information 568 Cory Hall tel: 510-642-0614 fax: 643-6690 muller@berkeley.edu : Research Areas Integrated Circuits (INC) Solid-State Devices Optoelectronics; Microsystem technologies; Sensors and actuators; Microelectromechanical systems . . . Biography He received the degree of Mechanical Engineer (with highest honors) from the Stevens Institute of Technology, Hoboken, NJ, 1955; and his M.S. in Electrical Engineering and Ph.D. in Electrical Engineering and Physics, in 1957 and 1962, respectively, at the California Institute of Technology, Pasadena, CA. From 1955 to 1962 he was a member of the technical staff at the Hughes Aircraft Company, Culver City, California. In 1962, he joined the Electrical Engineering faculty at UC Berkeley. His initial research and teaching on the physics of integrated-circuit devices led to collaboration with Dr. Theodore I. Kamins of Hewlett-Packard Laboratories in writing Device Electronics for Integrated Circuits , first published by John Wiley & Sons in 1977, with a 2nd edition in 1986, and a 3rd edition appearing in 2002. Dr. Muller changed his research focus in the late 1970s to the general area now known as microelectromechanical systems (MEMS), and he joined in 1986 with colleague Professor Richard M. White to found the Berkeley Sensor & Actuator Center (BSAC), an NSF/Industry/University Cooperative Research Center. He has been awarded: the NATO and Fulbright Research Fellowships; an Alexander von Humboldt Senior-Scientist Award; the UC Berkeley Citation (1994); the Stevens Institute of Technology Renaissance Award (1995); the Transducers Research Conference Career Achievement Award (1997), the IEEE Cledo Brunetti Award (with Roger T. Howe, 1998) and an IEEE Millennium Medal (2000). He is a member of the National Academy of Engineering, a Life Fellow of the IEEE, and has served as an IEEE Distinguished Lecturer. In 1990, he proposed to IEEE and ASME the creation of a MEMS technical journal, which began publication in 1991 as the IEEE/ASME Journal of Microelectromechanical Systems (IEEE/ASME JMEMS). Professor Muller is the author or co-author of more than 300 research papers and technical presentations and of 19 issued patents. . . Selected Publications R. Kant, D. Garmire, H. Coo, and R. S. Muller, "Characterization of an Improved, Real-Time MEMS-Based Phase-Shifting Interferometer," Optical MEMS and Nanophotonics, 2007 IEEE/LEOS International Conference on , pp. 57-58, Aug. 2007. R. S. Muller, " Plenty of Opportunity As Well As 'Room at the Bottom' -- Some Examples in Optical MEMS (Keynote Address) ," in Proc. 4th Intl. Conf. on Networked Sensing Systems (INSS 2007) , Piscataway, NJ: IEEE Press, 2007, pp. 1-1. H. Choo, D. Garmire, J. Demmel, and R. S. Muller, " Simple fabrication process for self-aligned, high-performance microscanners--Demonstrated use to generate a 2-D ablation pattern ," J. Microelectromechanical Systems , vol. 16, no. 2, pp. 260-268, April 2007. H. Choo, D. Garmire, R. S. Muller, and J. Demmel, " CMOS-compatible high-performance microscanners, including structures, high-yield simplified fabrication methods, and applications ," U.S. Patent Application. Feb. 2007. H. Choo and R. S. Muller, " Addressable microlens array to improve dynamic range of Shack-Hartmann sensors ," J. Microelectromechanical Systems , vol. 15, no. 6, pp. 1555-1567, Dec. 2006. H. Choo and R. S. Muller, " Optical switch using frequency-based addressing in a microelectromechanical systems array ," U.S. Patent Application. Nov. 2006. J. Kim, H. Choo, L. Lin, and R. S. Muller, " Microfabricated torsional actuators using self-aligned plastic deformation of silicon ," J. Microelectromechanical Systems , vol. 15, no. 3, pp. 553-562, June 2006. R. S. Muller, T. I. Kamins, and M. Chan, Device Electronics for Integrated Circuits , 3rd ed., New York, NY: John Wiley and Sons, Inc., 2003. P. S. Riehl, K. L. Scott, R. S. Muller, R. T. Howe, and J. A. Yasaitis, " Electrostatic charge and field sensors based on micromechanical resonators ," IEEE/ASME J. Microelectromechanical Systems , vol. 12, no. 5, pp. 577-589, Oct. 2003. H. Choo and R. S. Muller, " Optical properties of microlenses fabricated using hydrophobic effects and polymer-jet-printing technology ," in Proc. 2003 IEEE/LEOS Intl. Conf. on Optical MEMS , Piscataway, NJ: IEEE Press, 2003, pp. 169-170. K. Gupta, H. Choo, H. Kim, and R. S. Muller, " Micromachined polarization beam splitters for the visible spectrum ," in Proc. 2003 IEEE/LEOS Intl. Conf. on Optical MEMS , Piscataway, NJ: IEEE Press, 2003, pp. 171-172. P. A. Krulevitch, P. A. Bierden, T. Bifano, E. Carr, C. E. Dimas, H. Dyson, M. A. Helmbrecht, P. Kurczynski, R. S. Muller, S. S. Olivier, Y. Peter, B. Sadoulet, O. Solgaard, and E. Yang, " MOEMS spatial light modulator development at the center for adaptive optics ," in Proc. SPIE: MOEMS and Miniaturized Systems III , J. H. Smith, Ed., Vol. 4983, Bellingham, WA: SPIE, 2003, pp. 227-234. U. Srinivasan, M. A. Helmbrecht, R. S. Muller, and R. T. Howe, " MEMS: Some self-assembly required ," Optics & Photonics News , vol. 13, no. 11, pp. 20-56, Nov. 2002. C. Rembe, R. Kant, M. P. Young, and R. S. Muller, " Network-connected MEMS measuring system for high-speed data transfer to CAD and simulation tools ," in Proc. SPIE: 5th Intl. Conf. on Vibration Measurements by Laser Techniques -- Advances and Applications , E. P. Tomasini, Ed., Vol. 4827, Bellingham, WA: SPIE, 2002, pp. 94-102. C. W. Chang, T. Budde, H. H. Gatzen, and R. S. Muller, "A magnetically actuated scanner for intravascular ultrasound imaging," in 2001 ASME Intl. Mechanical Engineering Congress and Exposition Technical Digest: Micro-Electro-Mechanical Systems (MEMS) , New York, NY: ASME, 2001, pp. 799-804. R. A. Conant, J. T. Nee, K. Y. Lau, and R. S. Muller, " A flat high-frequency scanning micromirror ," in Solid-State Sensor and Actuator Workshop Technical Digest , Cleveland, OH: TRF Press, 2000, pp. 6-9. J. M. Bustillo, R. T. Howe, and R. S. Muller, " Surface micromachining for microelectromechanical systems ," Proc. IEEE , vol. 86, no. 8, pp. 1552-1574, Aug. 1998. M. Kiang, O. Solgaard, K. Y. Lau, and R. S. Muller, " Electrostatic combdrive-actuated micromirrors for laser-beam scanning and positioning ," J. Microelectromechanical Systems , vol. 7, no. 1, pp. 27-37, March 1998. J. W. Judy and R. S. Muller, " Magnetically actuated, addressable microstructures ," J. Microelectromechanical Systems , vol. 6, no. 3, pp. 249-256, Sep. 1997. L. Fan, Y. Tai, and R. S. Muller, " Integrated movable micromechanical structures for sensors and actuators ," IEEE Trans. Electron Devices , vol. 35, no. 6, pp. 724-730, June 1988. . Awards, Memberships and Fellowships IEEE James Clerk Maxwell Medal , 2013 EDS Distinguished Service Award , 2007 EDS 2000 Millennium Medal , 2000 IEEE Cledo Brunetti Award , 1998 Berkeley Citation , 1994 National Academy of Engineering (NAE) Member , 1992 Institute of Electrical & Electronics Engineers (IEEE) Fellow , 1988 Fullbright Scholar , 1982 North Atlantic Treaty Organization (NATO) Fellow , 1968 . diff --git a/src/data/compiled_bios/3559.txt b/src/data/compiled_bios/3559.txt new file mode 100644 index 0000000000..b20f8e3684 --- /dev/null +++ b/src/data/compiled_bios/3559.txt @@ -0,0 +1 @@ +Rikky Muller: Contact Information 564 Cory Hall rikky@berkeley.edu : Research Areas Integrated Circuits (INC) Biosystems & Computational Biology (BIO) Micro/Nano Electro Mechanical Systems (MEMS) . Research Centers Berkeley Wireless Research Center (BWRC) Center for Neural Engineering & Prostheses (CNEP) . Teaching Schedule Spring 2019 EE 290P. Electronic Implantable Medical Devices , MoWe 4:00PM - 5:29PM, Cory 293 . Biography Rikky Muller, PhD is an Assistant Professor of Electrical Engineering and Computer Sciences (EECS) at the University of California, Berkeley. She is Co-director of the Berkeley Wireless Research Center (BWRC), a Core Member of the Center for Neural Engineering and Prostheses (CNEP) and an Investigator at the Chan-Zuckerberg Biohub. Her research group focuses on emerging implantable medical devices and in developing low-power, wireless microelectronic and integrated systems for neurological applications. Prof. Muller is also the Co-founder of Cortera Neurotechnologies, Inc. a medical device company founded in 2013 that is commercializing a neural implant device and has released a family of products for the animal neuroscience research market. At Cortera, she held positions as CEO and CTO. Prof. Muller received her Bachelors and Masters degrees in Electrical Engineering from MIT, where she worked on cellular BioMEMS devices for pathogen detection. She received her Ph.D. from the University of California, Berkeley in Electrical Engineering where she performed research on minimally invasive neural interfaces. After her graduate studies, she was a McKenzie Fellow and Lecturer of Electrical Engineering at the University of Melbourne in Australia where she continued research in medical bionics together with the school of Medicine. Prior to her Ph.D. she worked as an integrated circuit designer at Analog Devices. Prof. Muller has been recognized with numerous academic and industry fellowships and awards. She was named one of MIT Technology Review's top 35 global innovators under the age of 35 (TR35) in 2015, and one of MedTech Boston's top 40 healthcare innovators Under 40 in 2016. In 2017, she received the National Academy of Engineering Gilbreth Lectureship, the Chan-Zuckerberg Biohub Investigatorship, and the Keysight Early Career Professorship. . Education 2013, Ph.D., EECS, UC Berkeley 2004, S.B., EECS, MIT 2004, M.Eng., EECS, MIT . . Awards, Memberships and Fellowships NSF Faculty Early Career Development Award (CAREER) , 2019 IEEE Solid-State Circuits Society Distinguished Lecturer , 2019 NAE Gilbreth Lectureship , 2017 Keysight Early Career Professor Award , 2017 MedTech Boston's 40 Under 40 Healthcare Innovators , 2016 MIT Tech Review Top 35 Innovators Under 35 (TR35) , 2015 . diff --git a/src/data/compiled_bios/356.txt b/src/data/compiled_bios/356.txt new file mode 100644 index 0000000000..cfb96b11b4 --- /dev/null +++ b/src/data/compiled_bios/356.txt @@ -0,0 +1 @@ +Name: Jue, Jason:: Position: Professor:: Degrees: Ph.D., ComputerEngineering, University of California, Davis, 1999; M.S., Electrical Engineering, University of California, Los Angeles,1991; B.S., Electrical Engineering, University of California, Berkeley, 1990; Research Interests: Optical Network Design and Planning; Optical Network Virtualization; Software Defined Optical Networks; Multi-Domain Optical Networks; Network Survivability; Impairment-Aware Optical Networking; Optical Network Control and Management; Optical Multicasting; Optical Packet and Burst Switching; Energy-Efficient Networking; Delay-Tolerant Networks; Wireless and Sensor Networks; RepresentativePublications: B. Chen, J. Zhang, Y. Zhao, J. P. Jue, S. Huang, and W. Gu, Minimizing Spectrum Usage for Shared-Path Protection with Joint Failure Probability Constraint in Flexible Bandwidth Optical Networks, Proceedings, IEEE ICC 2014, Sydney, Australia, June 2014.; S. Hong, J. P. Jue, Q. Zhang, X. Wang, H. C. Cankaya, Q. She, and M. Sekiya, Effective Virtual Optical Network Embedding Based on Topology Aggregation in Multi-Domain Optical Networks, Proceedings, IEEE/OSA Optical Fiber Communications Conference 2014, San Francisco, CA, March 2014.; B. Chen, W. Xie, J. Zhang, J. P. Jue, Y. Zhao, S. Huang, and W. Gu, Energy and Spectrum Efficiency with Multi-Flow Transponders and Elastic Regenerators in Survivable Flexible Bandwidth Virtual Optical Networks (poster), Proceedings, IEEE/OSA Optical Fiber Communications Conference 2014, San Francisco, CA, March 2014.; W. Xie, J. P. Jue, Q. Zhang, X. Wang, Q. She, P. Palacharla, and M. Sekiya, Survivable Virtual Optical Network Mapping in Flexible-Grid Optical Networks, Proceedings, International Conference on Computing, Networking, and Communications (ICNC) 2014, Honolulu, HI, February 2014. Invited paper.; W. Xie, J. P. Jue, X. Wang, Q. Zhang, Q. She, P. Palacharla, and M. Sekiya, Cost-Optimized Design of Flexible-Grid Optical Networks Considering Regenerator Site Selection, Proceedings, IEEE Globecom 2013, Atlanta, GA, December 2013.; diff --git a/src/data/compiled_bios/3560.txt b/src/data/compiled_bios/3560.txt new file mode 100644 index 0000000000..6edee8850a --- /dev/null +++ b/src/data/compiled_bios/3560.txt @@ -0,0 +1 @@ +Andrew R. Neureuther: Contact Information 511 Cory Hall tel: 510-642-4590 neureuth@eecs.berkeley.edu : Research Areas Integrated Circuits (INC) Solid-State Devices . Research Centers Integrated Modeling Process and Computation for Technology (IMPACT) . . Biography He received the B.S., M.S., and Ph.D. degrees in Electrical Engineering from the University of Illinois, Urbana, in 1963, 1964 and 1966, respectively, as a member of the Antenna Laboratory. Dr. Neureuther joined the Department of Electrical Engineering and Computer Sciences, UC Berkeley as a faculty member in 1966 where he is the Conexant Systems Distinguished Professor. Dr. Neureuther has pioneered modeling and simulation of integrated circuit processing for many physical process effects as well as the use of these tools to explore innovation and manufacturing issues in emerging technologies. His work includes models for chemically amplified imaging materials (STORM); simulation of optical, electron, ion beam and x-ray lithography (SAMPLE); assessment of residual effects of defects and lens aberrations (SPLAT); electromagnetic scattering (TEMPEST); time-evolution of topography (SAMPLE3D); environments for integrating simulators with process flow (SIMPL); and remote web-based simulation (LAVA). Dr. Neureuther is a Fellow of the IEEE. He has published 250 papers and has advised 35 M.S. and 30 Ph.D. students. He was elected to the National Academy of Engineering (1995). He received the IEEE 2003 Cledo Brunetti field award which is given for contributions to miniaturization in electronics. He was awarded the Berkeley Citation in 2007. In 2011, he won the Frits Zernike Award for Microlithography. . Education 1966, Ph.D., Electrical Engineering, UI Urbana-Champaign 1964, M.S., Electrical Engineering, UI Urbana-Champaign 1963, B.S., Electrical Engineering, University of Illinois, Urbana-Champaign . Selected Publications N. Xu, X. Sun, L. Wang, A. R. Neureuther, and T. King Liu, "Predictive compact modeling for strain effects in nanoscale transistors," in 2009 International Conference on Simulation of Semiconductor Processes and Devices (SISPAD 2009) , 2009. A. R. Neureuther, K. Adam, G. C. Robins, and E. F. Gennari, " Characterizing aberrations in an imaging lens and applications to visual testing and integrated circuit mask analysis ," U.S. Patent 7,030,997. April 2006. A. R. Neureuther and D. Ceperley, " Modeling and simulation for nanometrics (Invited Paper) ," J. Vacuum Science & Technology B: Microelectronics and Nanometer Structures , vol. 23, no. 6, pp. 2578-2583, Nov. 2005. L. Yuan, S. Nagahara, and A. R. Neureuther, " Applying double exposed sharp tip technique (DEST) to characterize material phenomena in DUV photoresist ," in Proc. SPIE: Advances in Resist Technology and Processing XXII , J. L. Sturtevant, Ed., Vol. 5753, Bellingham, WA: SPIE, 2005, pp. 1108-1118. M. C. Lam and A. R. Neureuther, " Fast simulation methods for defective EUV mask blank inspection ," in Proc. SPIE: 24th Annual BACUS Symp. on Photomask Technology , W. Staud and J. T. Weed, Eds., Vol. 5567, Bellingham, WA: SPIE, 2004, pp. 741-750. G. C. Robins and A. R. Neureuther, " Characterizing the demons in high-NA phase-shifting masks (Conference Best Paper Award) ," in Proc. SPIE: 24th Annual BACUS Symp. on Photomask Technology , W. Staud and J. T. Weed, Eds., Vol. 5567, Bellingham, WA: SPIE, 2004, pp. 445-455. C. F. R. Mateus, M. C. Y. Huang, Y. Deng, A. R. Neureuther, and C. Chang-Hasnain, " Ultrabroadband mirror using low-index cladded subwavelength grating ," IEEE Photonics Technology Letters , vol. 16, no. 2, pp. 518-520, Feb. 2004. K. Adam and A. R. Neureuther, " Methodology for accurate and rapid simulation of large arbitrary 2D layouts of advanced photomasks ," in Proc. SPIE: 21st Annual BACUS Symp. on Photomask Technology , G. T. Dao and B. J. Grenon, Eds., Vol. 4562, Bellingham, WA: SPIE, 2002, pp. 1051-1067. F. E. Gennari and A. R. Neureuther, " Aberrations are a big part of OPC for phase-shifting masks ," in Proc. SPIE: 21st Annual BACUS Symp. on Photomask Technology , G. T. Dao and B. J. Grenon, Eds., Vol. 4562, Bellingham, WA: SPIE, 2002, pp. 1077-1086. G. Robins, K. Adam, and A. R. Neureuther, " Measuring optical image aberrations with pattern and probe based targets ," J. Vacuum Science & Technology B: Microelectronics and Nanometer Structures , vol. 20, no. 1, pp. 338-343, Jan. 2002. K. Adam and A. R. Neureuther, " Simplified models for edge transitions in rigorous mask modeling ," in Proc. SPIE: Optical Microlithography XIV , C. J. Progler, Ed., Vol. 4346, Bellingham, WA: SPIE, 2001, pp. 331-344. N. Rau, F. Stratton, C. Fields, T. Ogawa, A. R. Neureuther, R. Kubena, and G. Willson, " Shot-noise and edge roughness effects in resists patterned at 10 nm exposure ," J. Vacuum Science & Technology B: Microelectronics and Nanometer Structures , vol. 16, no. 6, pp. 3784-3788, Nov. 1998. A. R. Neureuther, R. H. Wang, J. J. Helmsen, J. F. Sefler, E. W. Scheckler, R. Gunturi, and R. Winterbottom, "3D topography simulation using surface representation and central utilities," in 3-Dimensional Process Simulation: Proc. Intl. Workshop on 3D Process Simulation , J. Lorenz, Ed., Wien, Austria: Springer-Verlag, 1995, pp. 57-76. R. Guerrieri, K. H. Tadros, J. Gamelin, and A. R. Neureuther, " Massively parallel algorithms for scattering in optical lithography ," IEEE Trans. Computer-Aided Design of Integrated Circuits and Systems , vol. 10, no. 9, pp. 1091-1100, Sep. 1991. A. R. Neureuther and C. G. Willson, " Reduction in x-ray lithography shot noise exposure limit by dissolution phenomena ," J. Vacuum Science & Technology B: Microelectronics -- Processing and Phenomena , vol. 6, no. 1, pp. 167-173, Jan. 1988. K. H. Toh and A. R. Neureuther, "Identifying and monitoring effects of lens aberrations in projection printing," in Proc. SPIE: Optical Microlithography VI , H. L. Stover, Ed., Vol. 772, Bellingham, WA: SPIE, 1987, pp. 202-209. A. R. Neureuther, P. Flanner, III, and S. Shen, " Coherence of defect interactions with features in optical imaging ," J. Vacuum Science & Technology B: Microelectronics and Nanometer Structures , vol. 5, no. 1, pp. 308-312, Jan. 1987. M. D. Prouty and A. R. Neureuther, "Optical imaging with phase shift masks," in Proc. of the SPIE: Optical Microlithography III: Technology for the Next Decade , H. L. Stover, Ed., Vol. 470, Bellingham, WA: SPIE, 1984, pp. 228-232. F. H. Dill, A. R. Neureuther, J. A. Tuttle, and E. J. Walker, " Modeling projection printing of positive photoresists ," IEEE Trans. Electron Devices , vol. ED-22, no. 7, pp. 456-464, July 1975. A. R. Neureuther and K. Zaki, "Numerical methods for the analysis of scattering from non-planar periodic structures," in Selected Papers from the URSI Symp. on Electromagnetic Waves, Alta Frequenza, Special Issue , Vol. 38, Maggio, 1969, pp. 282-285. . Awards, Memberships and Fellowships SRC Aristotle Award , 2012 SRC Inventor Recognition Award , 2010 Berkeley Citation , 2007 SIA University Researcher Award , 2007 IEEE Cledo Brunetti Award , 2003 National Academy of Engineering (NAE) Member , 1995 Institute of Electrical & Electronics Engineers (IEEE) Fellow , 1989 . diff --git a/src/data/compiled_bios/3561.txt b/src/data/compiled_bios/3561.txt new file mode 100644 index 0000000000..8dbe8fff69 --- /dev/null +++ b/src/data/compiled_bios/3561.txt @@ -0,0 +1 @@ +Clark Nguyen: Contact Information 574 Cory Hall tel: 510-642-6251 fax: 510-643-6637 ctnguyen@berkeley.edu : Research Areas Micro/Nano Electro Mechanical Systems (MEMS) Integrated Circuits (INC) Physical Electronics (PHY) Design, Modeling and Analysis (DMA) . Research Centers Berkeley Sensor & Actuator Center (BSAC) . Teaching Schedule Spring 2019 EE C247B. Introduction to MEMS Design , TuTh 11:00AM - 12:29PM, Cory 293 . Biography Clark T.-C. Nguyen received the B. S., M. S., and Ph.D. degrees from the University of California at Berkeley in 1988, 1991, and 1994, respectively, all in Electrical Engineering and Computer Sciences. In 1995, he joined the faculty of the University of Michigan, Ann Arbor, where he was a Professor in the Department of Electrical Engineering and Computer Science up until mid-2006. In 2006, he joined the Department of Electrical Engineering and Computer Sciences at the University of California at Berkeley, where he is now a Professor and a co-Director of the Berkeley Sensor & Actuator Center. His research interests focus on micro electromechanical systems (MEMS) and include integrated micromechanical signal processors and sensors, merged circuit/micromechanical technologies, RF communication architectures, and integrated circuit design and technology. From 1995 to 1997, he was a member of the National Aeronautics and Space Administration (NASA)s New Millennium Integrated Product Development Team on Communications, which roadmapped future communications technologies for NASA use into the turn of the century. In 2001, Prof. Nguyen founded Discera, Inc., a company aimed at commercializing communication products, based upon MEMS technology, with an initial focus on the very vibrating micromechanical resonators pioneered by his research. He served as Vice President and Chief Technology Officer (CTO) of Discera until mid-2002, at which point he joined the Defense Advanced Research Projects Agency (DARPA) on an IPA, where he served for 3.5 years as the Program Manager of the MEMS, Micro Power Generation (MPG), Chip-Scale Atomic Clock (CSAC), MEMS Exchange (MX), Harsh Environment Robust Micromechanical Technology (HERMIT), Micro Gas Analyzers (MGA), Radio Isotope Micropower Sources (RIMS), RF MEMS Improvement (RFMIP), Navigation-Grade Integrated Micro Gyroscopes (NGIMG), and Micro Cryogenic Coolers (MCC) programs, in the Microsystems Technology Office of DARPA. Prof. Nguyen received the 1938E Award for Research and Teaching Excellence from the Uni-versity of Michigan in 1998, a Univ. of Michigan EECS Departmental Achievement Award in 1999, the Ruth and Joel Spira Award for Outstanding Teaching in 2000, the University of Michigans 2001 Henry Russel Award, a UC Berkeley EECS Department EE Outstanding Teaching Award in 2013. He received the 2006 Cady Award from the IEEE UFFC society and the 2017 IEEE Robert Bosch Micro and Nano Electro Mechanical Systems Award. Among his publication accolades are the 2007 IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control Best Paper Award, the 2005 IEEE International Solid-State Circuits Conference Jack Raper Award for Outstanding Technology Direc-tions, the Best Invited Paper Award at the 2004 IEEE Custom Integrated Circuits Conference, the 2004 DARPA Tech Best Technical Presentation Award, and together with his students, eight Best Student Paper Awards at major conferences that include the IEEE Int. Frequency Control Sympo-sium, the IEEE Int. Microelectromechanical Systems Conference, the IEEE Int. Electron Devices Meeting, and the Int. Conf. on Solid-State Sensors, Actuators, & Microsystems (Transducers). To date, he has organized and chaired a total of 37 IEEE and DARPA workshops, and was the Technical Program Chair and General Chair of the 2010 and 2011 IEEE Int. Frequency Control Symposiums; as well as a Co-General Chair of the 2017 IEEE Int. Micro Electro Mechanical Systems Conference. Prof. Nguyen is a Fellow of the IEEE and is currently President of the IEEE (Ultrasonics, Ferroelectrics, and Frequency Control (UFFC) Society. . Education 1994, Ph.D., Electrical Engineering & Computer Sciences, Univ. of California at Berkeley 1991, M.S., Electrical Engineering & Computer Sciences, Univ. of California at Berkeley 1989, B.S., Electrical Engineering & Computer Sciences, Univ. of California at Berkeley . Selected Publications N. Thura Lin, R. Tristan, R. Zeying, L. Sheng-Shian, and C. Nguyen, "High-Q spoke-supported ring resonators," IEEE/ASME J. Microelectromech. Syst. , vol. 25, no. 1, pp. 11-29, Feb. 2016. L. Hung and C. Nguyen, "Capacitive-piezoelectric transducers for high-Q micromechanical AlN resonators," IEEE/ASME J. Microelectromech. Syst. , vol. 24, no. 2, pp. 458-473, April 2015. A. Mehmet, W. Lingqi, R. Zeying, and C. Nguyen, "A negative-capacitance equivalent circuit model for parallel-plate capacitive-gap-transduced micro-mechanical resonators," IEEE Trans. Ultrason., Ferroelect., Freq. Contr. , vol. 61, no. 5, pp. 849-869, May 2014. S. Li, Y. Lin, Z. Ren, and C. Nguyen, " An MSI micromechanical differential disk-array filter ," in 14th Intl. Conf. on Solid-State Sensors, Actuators and Microsystems (TRANSDUCERS 2007). Digest of Technical Papers , Piscataway, NJ: IEEE Press, 2007, pp. 307-311. C. Nguyen, " MEMS technology for timing and frequency control ," IEEE Trans. Ultrasonics, Ferroelectrics and Frequency Control , vol. 54, no. 2, pp. 251-270, Feb. 2007. M. U. Demirci and C. Nguyen, " Mechanically corner-coupled square microresonator array for reduced series motional resistance ," IEEE/ASME J. Microelectromechanical Systems , vol. 15, no. 6, pp. 1419-1436, Dec. 2006. J. R. Clark, W. Hsu, M. A. Abdelmoneum, and C. Nguyen, " High-Q UHF micromechanical radial-contour mode disk resonators ," IEEE/ASME J. Microelectromechanical Systems , vol. 14, no. 6, pp. 1298-1310, Dec. 2005. Y. Lin, S. Li, Z. Ren, and C. Nguyen, " Third-order intermodulation distortion in capacitively-driven VHF micromechanical resonators ," in Proc. 2005 IEEE Ultrasonics Symp. , Vol. 3, Piscataway, NJ: IEEE Press, 2005, pp. 1592-1593. Y. Lin, S. Li, Z. Ren, and C. Nguyen, " Vibrating micromechanical resonators with solid dielectric capacitive transducer gaps (Best Frequency Control Paper Award) ," in Proc. 2005 IEEE Intl. Frequency Control Symp. and Exposition (IFCS '05) , Piscataway, NJ: IEEE Press, 2005, pp. 128-134. C. Nguyen and J. Kitching, " Towards chip-scale atomic clocks (Jack Raper Award for Best Paper Award) ," in 2005 IEEE International Solid-State Circuits Conf. (ISSCC 2005). Digest of Technical Papers. , Vol. 1, Piscataway, NJ: IEEE Press, 2005, pp. 84-85. J. Wang, Z. Ren, and C. Nguyen, " 1.156-GHz self-aligned vibrating micromechanical disk resonator ," IEEE Trans. Ultrasonics, Ferroelectrics and Frequency Control , vol. 51, no. 12, pp. 1607-1628, Dec. 2004. Y. Lin, S. Lee, S. Li, Y. Xie, Z. Ren, and C. Nguyen, " Series-resonant VHF micromechanical resonator reference oscillators ," IEEE J. Solid-State Circuits , vol. 39, no. 12, pp. 2477-2491, Dec. 2004. C. Nguyen, " Vibrating RF MEMS for next generation wireless applications (Best Invited Paper Award) ," in Proc. IEEE 2004 Custom Integrated Circuits Conf. , Piscataway, NJ: IEEE Press, 2004, pp. 257-264. S. Lee and C. Nguyen, " Mechanically-coupled micromechanical resonator arrays for improved phase noise (Best Frequency Control Paper Award ) ," in Proc. 2004 IEEE Intl. Frequency Control Symp. and Exhibition , Piscataway, NJ: IEEE Press, 2004, pp. 144-150. A. Wong and C. Nguyen, " Micromechanical mixer-filters ("mixlers") ," IEEE/ASME J. Microelectromechanical Systems , vol. 13, no. 1, pp. 100-112, Feb. 2004. Y. Xie, S. Li, Y. Lin, Z. Ren, and C. Nguyen, " UHF micromechanical extensional wine-glass mode ring resonators (Roger A. Haken Best Student Paper Award) ," in 2003 IEEE International Electron Devices Meeting (IEDM '03) Technical Digest , Piscataway, NJ: IEEE Press, 2003, pp. 953-956. K. Wang, A. Wong, and C. Nguyen, " VHF free-free beam high-Q micromechanical resonators ," IEEE/ASME J. Microelectromechanical Systems , vol. 9, no. 3, pp. 347-360, Sep. 2000. F. D. Bannon III, J. R. Clark, and C. Nguyen, " High-Q HF microelectromechanical filters ," IEEE J. Solid-State Circuits , vol. 35, no. 4, pp. 512-526, April 2000. K. Wang and C. Nguyen, " High-order medium frequency micromechanical electronic filters ," IEEE/ASME J. Microelectromechanical Systems , vol. 8, no. 4, pp. 534-557, Dec. 1999. C. Nguyen, " Frequency-selective MEMS for miniaturized low-power communication devices (Invited Paper) ," IEEE Trans. Microwave Theory and Techniques , vol. 47, no. 8, pp. 1486-1503, Aug. 1999. . Awards, Memberships and Fellowships EDS Robert Bosch Micro and Nano Electro Mechanical Systems Award , 2017 Electrical Engineering Award for Outstanding Teaching , 2013 Institute of Electrical & Electronics Engineers (IEEE) Fellow , 2007 IEEE Electron Devices Society (EDS) Fellows , 2007 Jack Raper Award for Outstanding Technology Directions Paper at ISSCC , 2006 W. G. Cady Frequency Control Award , 2006 . diff --git a/src/data/compiled_bios/3562.txt b/src/data/compiled_bios/3562.txt new file mode 100644 index 0000000000..d874fea7e6 --- /dev/null +++ b/src/data/compiled_bios/3562.txt @@ -0,0 +1 @@ +Ali Niknejad: Contact Information 511 Cory Hall tel: 510-642-0459 niknejad@eecs.berkeley.edu : Research Areas Integrated Circuits (INC) , Microwave and mm-Wave Circuits and Systems Physical Electronics (PHY) Signal Processing (SP) Communications & Networking (COMNET) Design, Modeling and Analysis (DMA) Applied Electromagnetics . Research Centers Berkeley Wireless Research Center (BWRC) . Teaching Schedule Spring 2019 EE 240B. Advanced Analog Integrated Circuits , TuTh 2:00PM - 3:29PM, Cory 540AB EE W240B. Advanced Analog Integrated Circuits . Biography Ali M. Niknejad received the Ph.D. degrees in electrical engineering from the University of California, Berkeley 2000, where he is currently a professor and faculty director of the Berkeley Wireless Research Center (BWRC). Prof. Niknejad is an IEEE Fellow, the recipient of the 2012 ASEE Frederick Emmons Terman Award for his textbook on electromagnetics and RF integrated circuits. He was the co-recipient of the IEEE International Solid-State Circuits Conference (ISSCC) 2013 and 2010 Jack Kilby Awards for OutstandingStudentPapers, and the co-recipient of the Outstanding Technology Directions Paper at ISSCC 2004 for co-developing a modeling approach for devices up to 65 GHz. He is a co-founder of HMicro and the inventor of the REACH() technology, which has the potential to deliver robust wireless solutions to the healthcare industry. His general research interests lie within the area of wireless communications and biomedical sensors and imaging. His focus areas of his research include analog, RF, mixed-signal, mm-wave circuits, device physics and compact modeling, and numerical techniques in electromagnetics. . Education 2000, Ph.D., Electrical Engineering, UC Berkeley 1997, M.S., Electrical Engineering, UC Berkeley 1994, B.S., Electrical Engineering, UC Berkeley . Selected Publications N. Kuo and A. Niknejad, "RF-powered-tag intermodulation uplink with a three-tone transmitter waveform for enhanced uplink power," IEEE Journal of Radio Frequency Identification , vol. 2, March 2019. N. Kuo, B. Yang, A. Wang, L. Kong, C. Wu, V. P. Srini, E. Alon, B. Nikoli{\'c}, and A. Niknejad, "A 0.4-to-4 GHz All-Digital RF Transmitter Package with a Band-Selecting Interposer Combining Three Wideband CMOS Transmitters," IEEE Transactions on Microwave Theory and Techniques , vol. 66, 2018. N. Kuo and A. Niknejad, "Single-Antenna FDD Reader Design and Communication to a Commercial UHF RFID Tag," IEEE Microwave and Wireless Components Letters , vol. 28, 2018. N. Kuo and A. Niknejad, "An E-band QPSK transmitter element in 28-nm bulk CMOS with wideband power amplifier for digitally-modulated phased array," in Radio Frequency Integrated Circuits Symposium, 2018 IEEE , 2018. N. Kuo, B. Zhao, and A. Niknejad, "Intermodulation Uplink for Far-Field Passive RFID Applications," in Microwave Symposium (IMS), 2018 IEEE MTT-S International , 2018, pp. 1--4. B. Zhao, N. Kuo, B. Liu, Y. Li, L. Lotti, and A. Niknejad, "A 5.8 GHz power-harvesting 116$\mu$mx116$\mu$m dielet near-field radio with on-chip coil antenna," in Solid-State Circuits Conference-(ISSCC), 2018 IEEE International , 2018, pp. 456--458. N. Kuo, B. Zhao, and A. Niknejad, "Equation-Based Optimization for Inductive Power Transfer to a Miniature CMOS Rectenna," IEEE Transactions on Microwave Theory and Techniques , vol. 66, no. 5, 2018. N. Kuo, B. Zhao, and A. Niknejad, "Novel inductive wireless power transfer uplink utilizing rectifier third-order nonlinearity," IEEE Transactions on Microwave Theory and Techniques , vol. 66, no. 1, pp. 319--331, 2018. B. Zhao, N. Kuo, and A. Niknejad, "A Gain Boosting Array Technique for Weakly-Coupled Wireless Power Transfer," IEEE Transactions on Power Electronics , vol. 32, no. 9, pp. 7130--7139, 2017. N. Kuo, B. Yang, A. Wang, L. Kong, C. Wu, V. P. Srini, E. Alon, B. Nikoli{\'c}, and A. Niknejad, "A Wideband All-Digital CMOS RF Transmitter on HDI Interposers With High Power and Efficiency," IEEE Transactions on Microwave Theory and Techniques , vol. 65, no. 11, pp. 4724--4743, 2017. N. Kuo, B. Zhao, and A. Niknejad, "A 10-Mb/s Uplink Utilizing Rectifier Third-Order Intermodulation in a Miniature CMOS Tag," IEEE Microwave and Wireless Components Letters , vol. 27, no. 11, pp. 1031--1033, 2017. N. Kuo, B. Zhao, and A. Niknejad, "Inductive wireless power transfer and uplink design for a CMOS tag with 0.01 mm 2 coil size," IEEE Microwave and Wireless Components Letters , vol. 26, no. 10, pp. 852--854, 2016. N. Kuo, B. Zhao, and A. Niknejad, "Bifurcation analysis in weakly-coupled inductive power transfer systems," IEEE Transactions on Circuits and Systems I: Regular Papers , vol. 63, no. 5, pp. 727--738, 2016. N. Kuo, B. Zhao, and A. Niknejad, "Inductive power transfer uplink using rectifier second-order nonlinearity," IEEE Transactions on Circuits and Systems I: Regular Papers , vol. 63, no. 11, pp. 2073--2085, 2016. B. Zhao, N. Kuo, and A. Niknejad, "An Inductive-Coupling Blocker Rejection Technique for Miniature RFID Tag," IEEE Transactions on Circuits and Systems I: Regular Papers , 2016. L. C. Yun, A. Niknejad, V. R. Sattiraju, J. C. Beck, and S. Magar, " Wireless communications systems using multiple radios ," U.S. Patent 9,277,534. March 2016. N. Kuo, J. Chien, and A. Niknejad, "Design and analysis on bidirectionally and passively coupled QVCO with nonlinear coupler," IEEE Transactions on Microwave Theory and Techniques , vol. 63, no. 4, pp. 1130--1141, 2015. S. Magar, L. Yun, J. Beck, V. R. Sattiraju, and A. Niknejad, " Methods and apparatus to retrofit wired healthcare and fitness systems for wireless operation ," U.S. Patent 9,155,469. Oct. 2015. A. Niknejad, " Wearable user interface device, system, and method of use ," U.S. Patent 9,046,919. June 2015. L. Yun, A. Niknejad, V. Sattiraju, and S. Magar, " Systems and networks for half and full duplex wireless communication using multiple radios ," U.S. Patent 9,019,934. April 2015. . Awards, Memberships and Fellowships Institute of Electrical & Electronics Engineers (IEEE) Fellow , 2012 Frederick Emmons Terman Award of the Electrical and Computer Engineering Division , 2012 . diff --git a/src/data/compiled_bios/3563.txt b/src/data/compiled_bios/3563.txt new file mode 100644 index 0000000000..dd28f65a08 --- /dev/null +++ b/src/data/compiled_bios/3563.txt @@ -0,0 +1 @@ +Borivoje Nikolic: Contact Information 509 Cory Hall tel: 510-643-9297 fax: 642-2845 bora@eecs.berkeley.edu : Research Areas Integrated Circuits (INC) Communications & Networking (COMNET) Design, Modeling and Analysis (DMA) Computer Architecture & Engineering (ARC) . Research Centers Berkeley Wireless Research Center (BWRC) . Teaching Schedule Spring 2019 EE 241B. Advanced Digital Integrated Circuits , TuTh 9:30AM - 10:59AM, Cory 293 . Biography Prof. Nikolic received the Dipl.Ing. and M.Sc. degrees in electrical engineering from the University of Belgrade, Serbia, in 1992 and 1994, respectively, and the Ph.D. degree from the University of California at Davis in 1999. He lectured electronics courses at the University of Belgrade from 1992 to 1996. He spent two years with Silicon Systems, Inc., Texas Instruments Storage Products Group, San Jose, CA, working on disk-drive signal processing electronics. In 1999, he joined the Department of Electrical Engineering and Computer Sciences, University of California at Berkeley, where he is now a Professor. His research activities include digital and analog integrated circuit design and VLSI implementation of communications and signal processing algorithms. He is co-author of the book Digital Integrated Circuits: A Design Perspective, 2nd ed, Prentice-Hall, 2003. Dr. Nikoli received the NSF CAREER award in 2003, College of Engineering Best Doctoral Dissertation Prize and Anil K. Jain Prize for the Best Doctoral Dissertation in Electrical and Computer Engineering at University of California at Davis in 1999, as well as the City of Belgrade Award for the Best Diploma Thesis in 1992. For work with his students and colleagues he has received the best paper awards at the IEEE International Solid-State Circuits Conference, Symposium on VLSI Circuits, IEEE International SOI Conference, European Solid-State Device Research Conference, and the ACM/IEEE International Symposium of Low-Power Electronics. . Education 1999, Ph.D., Electrical and Computer Engineering, UC Davis 1994, M.Sc., Electrical Engineering, University of Belgrade, Serbia 1992, Dipl.Ing., Electrical Engineering, University of Belgrade, Serbia . Selected Publications J. Kwak and B. Nikolic, " A Self-Adjustable Clock Generator With Wide Dynamic Range in 28 nm FDSOI ," IEEE Journal of Solid-State Circuits , vol. 51, no. 10, pp. 2368-2379, Oct. 2016. X. Xiao, A. Pratt, A. Niknejad, E. Alon, and B. Nikolic, " A 65nm CMOS wideband TDD front-end with integrated T/R switching via PA re-use ," in ESSCIRC Conference 2016: 42nd European Solid-State Circuits Conference , 2016, pp. 181-184. B. Keller, M. Cochet, B. Zimmer, Y. Lee, M. Blagojevic, J. Kwak, A. Puggelli, S. Bailey, P. F. Chiu, P. Dabbelt, C. Schmidt, E. Alon, K. Asanovi, and B. Nikolic, " Sub-microsecond adaptive voltage scaling in a 28nm FD-SOI processor SoC ," in ESSCIRC Conference 2016: 42nd European Solid-State Circuits Conference , 2016, pp. 269-272. A. Whitcombe, S. Taylor, M. Denham, V. Milovanovi, and B. Nikolic, " On-chip I-V variability and random telegraph noise characterization in 28 nm CMOS ," in 2016 46th European Solid-State Device Research Conference (ESSDERC) , 2016, pp. 248-251. S. Ramakrishnan, L. Calderin, A. Puglielli, E. Alon, A. Niknejad, and B. Nikolic, " A 65nm CMOS transceiver with integrated active cancellation supporting FDD from 1GHz to 1.8GHz at +12.6dBm TX power leakage ," in 2016 IEEE Symposium on VLSI Circuits (VLSI-Circuits) , 2016, pp. 1-2. M. Blagojevi, M. Cochet, B. Keller, P. Flatresse, A. Vladimirescu, and B. Nikolic, " A fast, flexible, positive and negative adaptive body-bias generator in 28nm FDSOI ," in 2016 IEEE Symposium on VLSI Circuits (VLSI-Circuits) , 2016, pp. 1-2. B. Zimmer, Y. Lee, A. Puggelli, J. Kwak, R. Jevti, B. Keller, S. Bailey, M. Blagojevi, P. F. Chiu, H. P. Le, P. H. Chen, N. Sutardja, R. Avizienis, A. Waterman, B. Richards, P. Flatresse, E. Alon, K. Asanovi, and B. Nikolic, " A RISC-V Vector Processor With Simultaneous-Switching Switched-Capacitor DC #x2013;DC Converters in 28 nm FDSOI ," IEEE Journal of Solid-State Circuits , vol. 51, no. 4, pp. 930-942, April 2016. D. Stepanovic and B. Nikolic, " A 2.8 GS/s 44.6 mW Time-Interleaved ADC Achieving 50.9 dB SNDR and 3 dB Effective Resolution Bandwidth of 1.5 GHz in 65 nm CMOS ," Solid-State Circuits, IEEE Journal of , vol. 48, no. 4, pp. 971-982, April 2013. S. O. Toh, Z. Guo, T. King Liu, and B. Nikolic, " Characterization of Dynamic SRAM Stability in 45 nm CMOS ," Solid-State Circuits, IEEE Journal of , vol. 46, no. 11, pp. 2702-2712, Nov. 2011. Z. Zhang, V. Anantharam, M. Wainwright, and B. Nikolic, " An Efficient 10GBASE-T Ethernet LDPC Decoder Design With Low Error Floors ," Solid-State Circuits, IEEE Journal of , vol. 45, no. 4, pp. 843-855, April 2010. Z. Guo, A. Carlson, L. Pang, K. Duong, T. King Liu, and B. Nikolic, " Large-Scale SRAM Variability Characterization in 45 nm CMOS ," Solid-State Circuits, IEEE Journal of , vol. 44, no. 11, pp. 3174-3192, Nov. 2009. Y. Chiu, P. R. Gray, and B. Nikolic, " A 14-b 12-MS/s CMOS pipeline ADC with over 100-dB SFDR ," IEEE J. Solid-State Circuits , vol. 39, no. 12, pp. 2139-2151, Dec. 2004. D. Markovic, V. Stojanovic, B. Nikolic, M. A. Horowitz, and R. W. Brodersen, " Methods for true energy-performance optimization ," IEEE J. Solid-State Circuits , vol. 39, no. 8, pp. 1282-1293, Aug. 2004. J. M. Rabaey, A. P. Chandrakasan, and B. Nikolic, Digital Integrated Circuits: A Design Perspective , 2nd ed., Prentice Hall Electronics and VLSI Series, Upper Saddle River, NJ: Pearson Education, 2003. . Awards, Memberships and Fellowships Institute of Electrical & Electronics Engineers (IEEE) Fellow , 2017 IEEE Electron Devices Society (EDS) Fellows , 2017 . diff --git a/src/data/compiled_bios/3564.txt b/src/data/compiled_bios/3564.txt new file mode 100644 index 0000000000..51917975fb --- /dev/null +++ b/src/data/compiled_bios/3564.txt @@ -0,0 +1 @@ +William G. Oldham: Contact Information 511 Cory Hall tel: 510-642-2318 oldham@eecs.berkeley.edu : Research Areas Integrated circuits; Semiconductor manufacturing . . . Biography He received his B.S. from the Carnegie Institute of Technology, 1960, his M. S. and Ph.D. from the Carnegie Institute of Technology, 1961 and 1963 respectively. From he worked for Siemens Research Laboratory in Erlangen, Germany. He joined the Electrical Engineering department, UC Berkeley, California in 1964. From he was Director of the Electronics Research Laboratory and Principal Investigator, Joint Services Electronics Program. From he was Director of California SEMATECH Center of Excellence, and from he was Director of DARPA/SRC Research Network for Advanced Lithography. He was also Vice Chair Academic Senate,, Chair. Chair, Senate Ombudsperson Committee, and Secretary, Berkeley Division Academic Senate. He was elected National Science Foundation Senior Postdoctoral Fellow at Technical University, Munich,, Fellow of IEEE 1981, Guggenheim Fellow,, and to the National Academy of Engineering, 1986. He has received the SRC Technical Excellence Award, 1997, SIA University Research Award, 2003, and the IEEE Cledo Brunetti Award, 2005 Professor Oldham has more than 200 publications and 10 Patents in semiconductor electronics. . Education 1963, PhD, EE, Carnegie Inst. of Technology 1961, MS, EE, Carnegie Inst. of Technology 1960, BS, EE, Carnegie Inst. of Technology . Selected Publications Y. Chen, C. H. Chu, Y. Shroff, J. Wang, and W. G. Oldham, " Design and fabrication of tilting and piston micromirrors for maskless lithography ," in Emerging Lithographic Technologies IX , R. S. Mackay, Ed., Proceedings of the SPIE, Vol. 5751, SPIE, 2005, pp. 1023-1037. W. G. Oldham and Y. Shroff, "Mirror-based pattern generation for maskless lithography," Microelectronic Engineering , vol. 73-74, no. 1, pp. 42-47, June 2004. B. Nikolic, B. Wild, V. Dai, Y. A. Shroff, B. Warlick, A. Zakhor, and W. G. Oldham, " Layout decompression chip for maskless lithography ," in Proc. SPIE: Emerging Lithographic Technologies VIII , R. S. Mackay, Ed., Vol. 5374, Bellingham, WA: SPIE, 2004, pp. 1092-1099. Y. A. Shroff, Y. Chen, and W. G. Oldham, " Image optimization for maskless lithography ," in Emerging Lithographic Technologies VIII , R. S. Mackay, Ed., Proceedings of the SPIE, Vol. 5374, SPIE, 2004, pp. 637-647. Y. A. Shroff, Y. Chen, and W. G. Oldham, " Optical analysis of mirror based pattern generation ," in Emerging Lithographic Technologies VII , R. L. Engelstad, Ed., Proceedings of the SPIE, Vol. 5037, SPIE, 2003, pp. 550-559. Y. Shroff, Y. Chen, and W. G. Oldham, " Fabrication of parallel-plate nanomirror arrays for extreme ultraviolet maskless lithography ," J. Vacuum Science & Technology B: Microelectronics and Nanometer Structures , vol. 19, no. 6, pp. 2412-2415, Nov. 2001. S. H. Lee, P. Naulleau, K. A. Goldberg, F. Piao, W. G. Oldham, and J. Bokor, " Phase-shifting point-diffraction interferometry at 193 nm ," Applied Optics , vol. 39, no. 31, pp. 5768-5772, Nov. 2000. Y. Chen, Y. Shroff, and W. G. Oldham, "Transient optimization of an electrically-damped cantilever-supported microactuator and the pull-in analysis," in Proc. ASME Intl. Mechanical Engineering Congress and Exposition: MEMS 2000 , A. P. Lee, A. P. Malshe, F. K. Forster, Q. Tan, and R. S. Keynton, Eds., New York, NY: ASME, 2000, pp. 319-324. Y. Chen, Y. Shroff, and W. G. Oldham, "Switching of a double-comb microactuator by time-lag modulation and electrical-damping control," in Proc. ASME Intl. Mechanical Engineering Congress and Exposition: MEMS 2000 , A. P. Lee, A. P. Malshe, F. K. Forster, Q. Tan, and R. S. Keynton, Eds., New York, NY: ASME, 2000, pp. 157-160. F. Piao, W. G. Oldham, and E. Haller, " Ultraviolet-induced densification of fused silica ," J. Applied Physics , vol. 87, no. 7, pp. 3287-3293, April 2000. N. Choksi, D. S. Pickard, M. McCord, R. F. W. Pease, Y. Shroff, Y. Chen, W. G. Oldham, and D. Markle, " Maskless extreme ultraviolet lithography ," J. Vacuum Science & Technology B: Microelectronics and Nanometer Structures , vol. 17, no. 6, pp. 3047-3051, Nov. 1999. F. Piao, W. G. Oldham, and E. E. Haller, " Thermal annealing of deep ultraviolet (193 nm) induced compaction in fused silica ," J. Vacuum Science & Technology B: Microelectronics and Nanometer Structures , vol. 16, no. 6, pp. 3419-3421, Nov. 1998. C. H. Fields, W. G. Oldham, A. K. Ray-Chaudhuri, K. D. Krenz, and R. H. Stulen, " Direct aerial image measurements to evaluate the performance of an extreme ultraviolet projection lithography system ," J. Vacuum Science & Technology B: Microelectronics and Nanometer Structures , vol. 14, no. 6, pp. 4000-4003, Nov. 1996. J. Bokor, A. R. Neureuther, and W. G. Oldham, " Advanced lithography for ULSI ," IEEE Circuits and Devices Magazine , vol. 12, no. 1, pp. 11-15, Jan. 1996. Y. Shih, G. Zhang, C. Hu, and W. G. Oldham, " Thin dielectric degradation during silicon selective epitaxial growth process ," Applied Physics Letters , vol. 67, no. 14, pp. 2040-2042, Oct. 1995. Y. Shacham-Diamand, A. Dedhia, D. Hoffstetter, and W. G. Oldham, " Copper transport in thermal SiO2 ," J. Electrochemical Society , vol. 140, no. 8, pp. 2427-2432, Aug. 1993. S. E. Schwarz and W. G. Oldham, Electrical Engineering: An Introduction , 1st ed., HRW Series in Electrical and Computer Engineering, New York, NY: Holt, Rinehart, and Winston, 1984. W. G. Oldham, A. R. Neureuther, C. Sung, J. L. Reynolds, and S. N. Nandgaonkar, " A general simulator for VLSI lithography and etching processes: Part II--Application to deposition and etching ," IEEE Trans. Electron Devices , vol. 27, no. 8, pp. 1455-1459, Aug. 1980. W. G. Oldham, S. N. Nandgaonkar, A. R. Neureuther, and M. O'Toole, " A general simulator for VLSI lithography and etching processes: Part I--Application to projection lithography ," IEEE Trans. Electron Devices , vol. 26, no. 4, pp. 717-722, April 1979. W. G. Oldham, "The fabrication of microelectronic circuits," Scientific American , vol. 237, no. 3, pp. 111-114, Sep. 1977. . Awards, Memberships and Fellowships IEEE Cledo Brunetti Award , 2005 Berkeley Citation , 2004 SIA University Researcher Award , 2003 SRC Technical Excellence Award , 1996 National Academy of Engineering (NAE) Member , 1986 Guggenheim Fellow , 1985 Institute of Electrical & Electronics Engineers (IEEE) Fellow , 1981 . diff --git a/src/data/compiled_bios/3565.txt b/src/data/compiled_bios/3565.txt new file mode 100644 index 0000000000..a7b2ad9709 --- /dev/null +++ b/src/data/compiled_bios/3565.txt @@ -0,0 +1 @@ +Bruno Olshausen: Contact Information baolshausen@berkeley.edu : Research Areas Biosystems & Computational Biology (BIO) . Research Centers Berkeley Artificial Intelligence Research Lab (BAIR) Berkeley Deep Drive (BDD) . . Biography Professor Bruno Olshausen is a Professor in the Helen Wills Neuroscience Institute, the School of Optometry, and has a below-the-line affiliated appointment in EECS. He holds B.S. and M.S. degrees in Electrical Engineering from Stanford University, and a Ph.D. in Computation and Neural Systems from the California Institute of Technology. He did his postdoctoral work in the Department of Psychology at Cornell University and at the Center for Biological and Computational Learning at the Massachusetts Institute of Technology. From 1996-2005 he was on the faculty in the Center for Neuroscience at UC Davis, and in 2005 he moved to UC Berkeley. He also directs the Redwood Center for Theoretical Neuroscience, a multidisciplinary research group focusing on building mathematical and computational models of brain function (see http://redwood.berkeley.edu). Olshausen's research focuses on understanding the information processing strategies employed by the visual system for tasks such as object recognition and scene analysis. Computer scientists have long sought to emulate the abilities of the visual system in digital computers, but achieving performance anywhere close to that exhibited by biological vision systems has proven elusive. Dr. Olshausen's approach is based on studying the response properties of neurons in the brain and attempting to construct mathematical models that can describe what neurons are doing in terms of a functional theory of vision. The aim of this work is not only to advance our understanding of the brain but also to devise new algorithms for image analysis and recognition based on how brains work. . . . . diff --git a/src/data/compiled_bios/3566.txt b/src/data/compiled_bios/3566.txt new file mode 100644 index 0000000000..6f8ea381cc --- /dev/null +++ b/src/data/compiled_bios/3566.txt @@ -0,0 +1 @@ +Abhay Parekh: Contact Information 265M Cory Hall parekh@eecs.berkeley.edu : Research Areas Communications & Networking (COMNET) . . . Biography Abhay Parekh received a B.E.S. in Mathematical Sciences from Johns Hopkins University in 1983, an S.M. in Operations Research from the Sloan School of Management at MIT in 1985, and the Ph.D. in Electrical Engineering and Computer Science from MIT, where he was affiliated with the Laboratory for Information and Decision Systems. After obtaining his doctorate, Dr. Parekh was a postdoc with the MIT Laboratory for Computer Sciences. Before coming to the EECS Department at U.C. Berkeley as an Adjunct Professor in 2003, Dr. Parekh spent a number of years in industry (AT&T Bell Laboratories, T. J. Watson Research Center IBM, Sun Microsystems) working on various research problems, mostly in the area of computer networking. He was co-founder, as well as President and CEO of San Francisco-based FastForward Networks, which developed products to enable the large-scale distribution of broadcast video on the Internet. In 2000, FastForward Networks was sold to Inktomi, where its technology and products formed the basis of Inktomi's content networking offerings. After the merger, Dr. Parekh remained with Inktomi for a brief time as General Manager of the Media Products Division. From 2002-2008, he was associated with Accel Partners, an early stage venture capital firm as a Venture Partner. In 2009, he founded Flowgram, Inc. Since 2014 he has been with Lytmus Inc and serves as co-founder and CEO. Prof. Parekh's papers on generalized processor sharing, which is a way of achieving quality of service in data networks, are among the most highly cited in the networking literature. In particular, his paper co-authored with Robert G. Gallager, "A generalized processor sharing approach to flow control in integrated services networks: The single-node case" was the recipient of the IEEE Communication Society's William Bennett Prize Paper Award in 1994 "for the best original paper published in the IEEE/ACM Transactions on Networking in the past year." (A preliminary version of the paper received the Best Paper Award at INFOCOM 1993.) In 2002, the IEEE Communications Society selected it as one of the 16 most influential papers on networking to appear in the last 50 years. Prof. Parekh is also a co-author of two patents. He is co-author (with Jean Walrand) of the book "Resource Sharing in Networks" which was published in 2014. After spending some years focusing on the nature of interference in wireless communication systems, he is now trying to understanding large distributed peer to peer systems in the context of multimedia networks and MOOCs. He carries out this research at the Wireless Foundations Center. . Education 1992, Ph.D., Electrical Engineering and Computer Science, MIT 1985, S.M., Operations Research, MIT 1983, B.E.S., Mathematical Sciences, Johns Hopkins University . Selected Publications N. Shah, S. Balakrishnan, B. Joseph, A. Parekh, K. Ramchandran, and M. Wainwright, "Estimation from Pairwise Comparisons: Sharp Minimax Bounds with Topology Dependence," in AISTATS, San Diego, May 2015 , 2015. A. Parekh and J. Walrand, "Sharing Network Resources," Synthesis Lectures on Communication Networks , vol. 7, no. 1, pp. 1--150, 2014. N. B. Shah, J. K. Bradley, A. Parekh, M. Wainwright, and K. Ramchandran, "A case for ordinal peer-evaluation in MOOCs," in NIPS Workshop on Data Driven Education , 2013. H. Zhang, M. Chen, A. Parekh, and K. Ramchandran, "A distributed multichannel demand-adaptive P2P VoD system with optimized caching and neighbor-selection," in SPIE Optical Engineering+ Applications , 2011, pp. 81350X--81350X. G. Bresler, A. Parekh, and D. Tse, "The Approximate Capacity of the Many-to-One and One-to-Many Gaussian Interference Channels," IEEE Trans. Inform. Theory , vol. 46, pp. 4566--4592, Sep. 2010. R. Etkin, A. Parekh, and D. Tse, " Spectrum sharing for unlicensed bands ," IEEE J. Selected Areas in Communications , vol. 25, no. 3, pp. 517-528, April 2007. W. Welch, S. McCanne, and A. K. Parekh, " System for bandwidth allocation in a computer network ," U.S. Patent 6,735,633. May 2004. A. Parekh, " Why There Is No Network QoS and What To Do About It (Invited Talk) ," presented at 11th International Workshop on Quality of Service (IWQoS 2003), Monterey, CA, June 2003. I. Cidon, T. Hsiao, A. Khamisy, A. Parekh, R. Rom, and M. Sidi, " OPENET: An open and efficient control platform for ATM networks ," J. High Speed Networks , vol. 8, no. 3, pp. 195-210, Sep. 1999. P. Chang, R. A. Guerin, A. K. Parekh, and J. T. Rayfield, " Method and system for implementing multiple leaky bucket checkers using a hybrid synchronous/asynchronous update mechanism ," U.S. Patent 5,835,711. Nov. 1998. L. Georgiadis, R. Guerin, and A. Parekh, " Optimal multiplexing on a single link: Delay and buffer requirements ," IEEE Trans. Information Theory , vol. 43, no. 5, pp. 1518-1535, Sep. 1997. A. Parekh and R. G. Gallager, " A generalized processor sharing approach to flow control in integrated services networks: The multiple node case ," IEEE/ACM Trans. Networking , vol. 2, no. 2, pp. 137-150, April 1994. A. Parekh and R. G. Gallager, " IEEE Communication Society's William Bennett Prize Paper Award, 1994: A generalized processor sharing approach to flow control in integrated services networks: The single-node case ," IEEE/ACM Trans. Networking , vol. 1, no. 3, pp. 344-357, June 1993. A. Parekh, " Analysis of a greedy heuristic for finding small dominating sets in graphs ," Information Processing Letters , vol. 39, no. 5, pp. 237-240, Sep. 1991. . Awards, Memberships and Fellowships William R. Bennett Prize , 1994 . diff --git a/src/data/compiled_bios/3567.txt b/src/data/compiled_bios/3567.txt new file mode 100644 index 0000000000..5ba3722f6e --- /dev/null +++ b/src/data/compiled_bios/3567.txt @@ -0,0 +1 @@ +Shyam Parekh: Contact Information 255M Cory Hall tel: (510) 847-0320 spparekh@berkeley.edu : Research Areas Communications & Networking (COMNET) . . Teaching Schedule Spring 2019 EE 122. Introduction to Communication Networks , TuTh 5:30PM - 6:59PM, Cory 521 . Biography Shyam Parekh received his Ph.D. in EECS from UC Berkeley. His research interests are in the architecture, optimization and performance aspects of both wired and wireless Communication Networks. Recently, he has been investigating the analytic issues related to the evolving paradigms of SDN, NFV and data-plane programming. He is the co-author of "Communication Networks: A Concise Introduction" (Morgan & Claypool, First Edition (2010), Second Edition (2018)), and a co-editor of "Quality of Service Architectures for Wireless Networks: Performance Metrics and Management" (Information Science Reference, 2010). He was a co-chair of the Application Working Group (AWG) of the WiMAX Forum during 2008-09. . . Selected Publications P. Maille, S. Parekh, and J. Walrand, "Overlaying Delay-Tolerant Service using SDN," July 2015. C. Buyukkoc, G. Lekutai, S. Parekh, A. Raghavan, and M. Tofighbakhsh, "Network Control of Applications using Application States," U.S. Patent 8,995,339. March 2015. G. Atkinson, R. Nagarajan, and S. Parekh, " Method and Apparatus for Preventing Activation of a Congestion Control Process ," U.S. Patent 8,670,309. March 2014. M. Tofighbakhsh, S. Parekh, and D. Wolter, " Performance Zones ," U.S. Patent 8,526,932. Sep. 2013. G. Atkinson, X. Liu, R. Nagarajan, and S. Parekh, " Method and Apparatus for Identifying Network Connectivity Changes in Dynamic Networks ," U.S. Patent 8,509,098. Aug. 2013. S. Parekh, D. Calin, and E. Haghani, " Queue Management Unit and Method for Streaming Video Packets in a Wireless Network ," U.S. Patent 8,443,097. May 2013. J. Musacchio, J. Walrand, R. Myers, S. Parekh, J. Mo, and G. Agarwal, " Backpressure Mechanism for Switch Fabric ," U.S. Patent 7,983,287. July 2011. D. Zhang, N. Mandayam, and S. Parekh, "DEDI: A Framework for Analyzing Rank Evolution of Random Network Coding in a Wireless Network," in IEEE International Symposium on Information Theory , 2010. E. Haghani, N. Ansari, S. Parekh, and D. Calin, "Trafc-Aware Video Streaming in Broadband Wireless Networks," in IEEE Wireless Communications and Networking Conference , 2010. S. Adibi, R. Jain, S. Parekh, and M. Tofighbakhsh, Eds., Quality of Service Architectures for Wireless Networks: Performance Metrics and Management , Information Science Reference, 2010. J. Walrand and S. Parekh, Communication Networks: A Concise Introduction , Morgan & Claypool, 2010. M. Aman, B. Sikdar, and S. Parekh, "Scalable Peer-to-Peer Video Streaming in WiMAX Networks," in IEEE Globecom , 2009. N. Shetty, S. Parekh, and J. Walrand, "Economics of Femtocells," in IEEE Globecom , 2009. E. Haghani, S. Parekh, D. Calin, E. Kim, and N. Ansari, "A Quality-driven Cross-layer Solution for MPEG Video Streaming over WiMAX Networks," IEEE Transactions on Multimedia , Oct. 2009. L. Jiang, S. Parekh, and J. Walrand, "Time-Dependent Network Pricing and Bandwidth Trading," in IEEE International Workshop on Bandwidth on Demand (BoD) , 2008. L. Jiang, S. Parekh, and J. Walrand, "Base Station Association Game in Multi-Cell Wireless Networks," in IEEE Wireless Communications and Networking Conference , 2008. R. Nagarajan, S. Parekh, G. Atkinson, and X. Jing, "Architectural Enhancements for Improving TCP Performance over FSO Networks," in Milcom , 2005. S. Parekh, "Quick Simulation of Stationary Delay Tail Probabilities in Tandem Queues," AEU International Journal of Electronics and Communications , 1998. S. Parekh and J. Walrand, "A Quick Simulation Method for Excessive Backlogs in Networks of Queues," IEEE Transactions on Automatic Control , Jan. 1989. . . diff --git a/src/data/compiled_bios/3568.txt b/src/data/compiled_bios/3568.txt new file mode 100644 index 0000000000..48262f7782 --- /dev/null +++ b/src/data/compiled_bios/3568.txt @@ -0,0 +1 @@ +Robert Pilawa-Podgurski: Contact Information 573 Cory Hall tel: 510-664-5171 pilawa@berkeley.edu : Research Areas Energy (ENE) Integrated Circuits (INC) . . Teaching Schedule Spring 2019 EE 290C. Advanced Topics in Power Electronics , TuTh 12:30PM - 1:59PM, Cory 299 . Biography Robert Pilawa-Podgurski is currently an Associate Professor in the Electrical Engineering and Computer Science Department at the University of California, Berkeley. Previously, he was an Associate Professor in Electrical and Computer Engineering at the University of Illinois Urbana-Champaign. He received his BS, MEng, and PhD degrees from MIT. He performs research in the area of power electronics. His research interests include renewable energy applications, electric vehicles, energy harvesting, CMOS power management, high density and high efficiency power converters, and advanced control of power converters. Dr. Pilawa-Podgurski received the Chorafas Award for outstanding MIT EECS Masters thesis, the Google Faculty Research Award in 2013, and the 2014 Richard M. Bass Outstanding Young Power Electronics Engineer Award of the IEEE Power Electronics Society, given annually to one individual for outstanding contributions to the field of power electronics before the age of 35. In 2015, he received the Air Force Office of Scientific Research Young Investigator Award, the UIUC Deans Award for Excellence in Research in 2016, the UIUC Campus Distinguished Promotion Award in 2017, and the UIUC ECE Ronald W. Pratt Faculty Outstanding Teaching Award in 2017. Since 2014, he serves as Associate Editor for IEEE Transactions on Power Electronics, and for IEEE Journal of Emerging and Selected Topics in Power Electronics. He is co-author of eight IEEE prize papers. . Education 2012, PhD, EECS, MIT 2007, MEng, EECS, MIT 2005, BS, Physics, MIT 2005, BS, EECS, MIT . . Awards, Memberships and Fellowships Mac Van Valkenburg Early Career Teaching Award , 2018 Air Force Young Investigator , 2015 Richard M. Bass Outstanding Young Power Electronics Engineer Award , 2014 . diff --git a/src/data/compiled_bios/3569.txt b/src/data/compiled_bios/3569.txt new file mode 100644 index 0000000000..2c877e3162 --- /dev/null +++ b/src/data/compiled_bios/3569.txt @@ -0,0 +1 @@ +Kristofer Pister: Contact Information 512 Cory Hall ksjp@berkeley.edu : Research Areas Micro/Nano Electro Mechanical Systems (MEMS) Control, Intelligent Systems, and Robotics (CIR) , Micro-robotics Integrated Circuits (INC) , Low-power circuits . Research Centers Robotics and Intelligent Machines Laboratory Berkeley Sensor & Actuator Center (BSAC) SWARM Lab CITRIS People and Robots (CPAR) . Teaching Schedule Spring 2019 EE 16B. Designing Information Devices and Systems II , TuTh 11:00AM - 12:29PM, Wheeler 150 EE 290C-3. 28 nm SoC for IoT , TuTh 4:00PM - 5:29PM, Cory 299 . Biography He received a B.A. in Applied Physics from UC San Diego, 1986, and an M.S. and Ph.D. in EECS from UC Berkeley in 1989 and 1992. Prior to joining the faculty of EECS in 1996, he taught in the Electrical Engineering Department, UCLA. Professor Pister developed Smart Dust, a project with the goal of putting a complete sensing/communication platform inside a cubic millimeter. For this project, he was awarded the second annual Alexander Schwarzkopf Prize for Technological Innovation, in 2006, from the I/UCRC Association, for developing and successfully commercializing Smart Dust. He has also focused his energies on synthetic insects, which he has characterized as "basically Smart Dust with legs." Professor Pister was award the Alfred F. Sperry Founder Award in 2009 for his "contributions to the science and technology of instrumentation, systems, and automation." Kris is a co-Director of the Berkeley Sensor and Actuator Center (BSAC) and the Ubiquitious Swarm Lab. . Education 1992, Ph.D., EECS, UC Berkeley 1989, M.S., EECS, UC Berkeley 1986, B.A., Applied Physics, UC San Diego . Selected Publications S. Venkatraman, J. D. Long, K. Pister, and J. M. Carmena, " Wireless inertial sensors for monitoring animal behavior ," in Proc. 29th Annual Intl. Conf. of the IEEE Engineering in Medicine and Biology Society (EMBS 2007) , Piscataway, NJ: IEEE Press, 2007, pp. 378-381. B. W. Cook, A. Berny, A. Molnar, S. Lanzisera, and K. Pister, " Low-power 2.4-GHz transceiver with passive RX front-end and 400-mV supply ," IEEE J. Solid-State Circuits , vol. 41, no. 12, pp. 2757-2766, Dec. 2006. B. W. Cook, A. D. Berny, A. Molnar, S. Lanzisera, and K. Pister, " An ultra-low-power 2.4GHz RF transceiver for wireless sensor networks in 130nm CMOS with 400mV supply and an integrated passive RX front-end ," in 2006 IEEE Intl. Solid-State Circuits Conf. (ISSCC '06). Digest of Technical Papers , L. C. Fujino, Ed., Vol. 49, Piscataway, NJ: IEEE Press, 2006, pp. 370-371. B. S. Leibowitz, B. Boser, and K. Pister, " A 256-element CMOS imaging receiver for free-space optical communication ," IEEE J. Solid-State Circuits , vol. 40, no. 9, pp. 1948-1956, Sep. 2005. M. D. Scott, B. Boser, and K. Pister, " An ultralow-energy ADC for Smart Dust ," IEEE J. Solid-State Circuits , vol. 38, no. 7, pp. 1123-1129, July 2003. M. Last, B. S. Leibowitz, B. Cagdaser, A. Jog, L. Zhou, B. Boser, and K. Pister, " Toward a wireless optical communication link between two small unmanned aerial vehicles ," in Proc. 2003 IEEE Intl. Symp. on Circuits and Systems (ISCAS 2003) , Vol. 3, Piscataway, NJ: IEEE Press, 2003, pp. 930-933. S. Hollar, A. Flynn, S. Bellew, and K. Pister, " Solar powered 10 mg silicon robot ," in Proc. IEEE 16th Annual Intl. Conf. on Micro Electro Mechanical Systems , Piscataway, NJ: IEEE, 2003, pp. 706-711. B. A. Warneke, M. D. Scott, B. S. Leibowitz, L. Zhou, C. L. Bellew, J. A. Chediak, J. M. Kahn, B. Boser, and K. Pister, " An autonomous 16 mm3 solar-powered node for distributed wireless sensor networks ," in Proc. 2002 1st Intl. Conf. on Sensors , Vol. 2, Piscataway, NJ: IEEE Press, 2002, pp. 1510-1515. J. V. Clark, D. Bindel, W. Kao, E. Zhu, A. Kuo, N. Zhou, J. Nie, J. Demmel, Z. Bai, S. Govindjee, K. Pister, M. Gu, and A. Agogino, " Addressing the needs of complex MEMS design ," in Proc. 15th IEEE Intl. Conf. on Micro Electro Mechanical Systems , Piscataway, NJ: IEEE Press, 2002, pp. 204-209. B. S. Leibowitz, B. Boser, and K. Pister, " CMOS "smart pixel" for free-space optical communication ," in Proc. SPIE: Sensors and Camera Systems for Scientific, Industrial, and Digital Photography Applications II , M. M. Blouke, J. Canosa, and N. Sampat, Eds., Vol. 4306, Bellingham, WA: SPIE, 2001, pp. 308-318. L. Doherty, B. A. Warneke, B. Boser, and K. Pister, "Energy and performance considerations for smart dust," Intl. J. Parallel and Distributed Systems & Networks , vol. 4, no. 3, pp. 121-133, March 2001. B. Warneke, M. Last, B. Liebowitz, and K. Pister, " Smart Dust: Communicating with a cubic-millimeter computer ," Computer , vol. 34, no. 1, pp. 44-51, Jan. 2001. P. B. Chu, J. T. Chen, R. Yeh, G. Lin, J. C. P. Huang, B. A. Warneke, and K. Pister, " Controlled pulse-etching with xenon difluoride ," in TRANSDUCERS '97 Digest of Technical Papers , Piscataway, NJ: IEEE, 1997, pp. 665-668. K. Pister, M. W. Judy, S. R. Burgett, and R. S. Fearing, "Microfabricated hinges," Sensors and Actuators A (Physical) , vol. A33, no. 3, pp. 249-256, June 1992. . Awards, Memberships and Fellowships Outstanding Advising Administrator, Director, Manager, Faculty Advisor or Dean , 2017 ISA Albert F. Sperry Founder Award , 2009 Ten People to Watch , 2006 Alexander Schwarzkopf Prize , 2006 NSF Faculty Early Career Development Award (CAREER) , 1996 . diff --git a/src/data/compiled_bios/357.txt b/src/data/compiled_bios/357.txt new file mode 100644 index 0000000000..9964ebe995 --- /dev/null +++ b/src/data/compiled_bios/357.txt @@ -0,0 +1 @@ +Name: Kantarcioglu, Murat:: Position: Professor:: Degrees: Ph.D., Computer Science, Purdue University, 2005; Graduate Certificate in Statistics, Purdue University, 2005; M.S., Computer Science, Purdue University, 2002; B.S., Computer Engineering withMinor in Finance, Middle East Technical University, 2000; Research Interests: Data Security; Data Privacy; Privacy-preserving data mining; Databases; Cloud computing; Major Honors and Awards: NSF CAREER Award; Purdue Cerias Diamond Award; AMIA 2014 Homer R. Warner Award; RepresentativePublications: Pattuk E, Kantarcioglu M, Lin Z, Ulusoy H. Preventing Cryptographic Key Leakage in Cloud Virtual Machines. USENIX Security 2014:703-718.; Nix R., Kantarcioglu M. Incentive Compatible Privacy-Preserving Distributed Classification. IEEE Transactions on Dependable and Secure Computing. 9(4): 451-462, 2012.; Islam S, Kuzu M, Kantarcioglu M. Access pattern disclosure on searchable encryption: Ramification, attack and mitigation. In Proceedings of the Network and Distributed System Security Symposium, NDSS 2012.; Zhou Y, Kantarcioglu M, Thuraisingham B, Xi B. Adversarial support vector machine learning. SIGKDD 2012: 1059-1067.; Canim M, Kantarcioglu M, Hore B, Mehrotra S. Building Disclosure Risk Aware Query Optimizers for Relational Databases. VLDB 2010.; diff --git a/src/data/compiled_bios/3570.txt b/src/data/compiled_bios/3570.txt new file mode 100644 index 0000000000..4477f57c4d --- /dev/null +++ b/src/data/compiled_bios/3570.txt @@ -0,0 +1 @@ +Elijah Polak: Contact Information 255M Cory Hall tel: 510-642-2644 polak@eecs.berkeley.edu : Research Areas Control, Intelligent Systems, and Robotics (CIR) , Numerical methods for engineering optimization . . . Biography He received the B.S. degree in EE from the University of Melbourne, Australia, 1957, and the M.S. and Ph.D. degrees in EE from the UC Berkeley, 1959 and 1961, respectively. Since 1961, he has been on the faculty of UC Berkeley, where he is, at present, Professor Emeritus of Electrical Engineering and Computer Sciences, as well as Professor in the Graduate School. He is the author or co-author of over 200 papers, as well as four books; Theory of Mathematical Programming and Optimal Control (with M. Canon and C. Cullum, 1970), Notes for a First Course on Linear Systems (with E. Wong, 1970), Computational Methods in Optimization (1971), and Optimization:Algorithms and Consistent Approximations (1997). In addition, he translated from Russian the book Absolute Stability of Regulator Systems by M. A. Aizerman and F. R. Gantmacher (1964), and, with L. A. Zadeh, he co-edited "System Theory" (1969). He was a Guggenheim Fellow in 1968 - 1969 at the Institut Blaise Pascal in Paris, France, and a United Kingdom Science Research Council Senior Postdoctoral Fellow at Imperial College, London, England, in 1972, 1976, 1979, 1982, 1985, 1988, and 1990. He is a Life Fellow of the Institute of Electrical and Electronic Engineers (IEEE), a member of the Society of Industrial and Applied Mathematics (SIAM) and a member of the Mathematical Programming Society. . . Selected Publications E. Polak, Optimization: Algorithms and Consistent Approximations , Springer Series in Applied Mathematical Sciences, Vol. 124, New York, NY: Springer-Verlag, 1997. E. Polak, Computational Methods in Optimization: A Unified Approach , R. Bellman, Ed., Mathematics in Science and Engineering, Vol. 77, New York, NY: Academic Press, 1971. E. Polak and G. Ribiere, "Note on the convergence of methods of conjugate directions," Revue Francaise d'Informatique et de Recherche Operationnelle , vol. 3, no. 16, pp. 35-43, Jan. 1969. N. O. Da Cunha and E. Polak, " Constrained minimization under vector valued-criterial in finite dimensional spaces ," J. Mathematical Analysis & Applications , vol. 19, no. 1, pp. 103-124, July 1967. M. Canon, C. Cullum, and E. Polak, " Constrained minimization problems in finite-dimensional spaces ," SIAM J. on Control , vol. 4, no. 3, pp. 528-547, Aug. 1966. . Awards, Memberships and Fellowships Institute of Electrical & Electronics Engineers (IEEE) Fellow , 1977 Guggenheim Fellow , 1968 . diff --git a/src/data/compiled_bios/3571.txt b/src/data/compiled_bios/3571.txt new file mode 100644 index 0000000000..97f8f76368 --- /dev/null +++ b/src/data/compiled_bios/3571.txt @@ -0,0 +1 @@ +Kameshwar Poolla: Contact Information 5105 Etcheverry Hall tel: 510-642-4642 poolla@berkeley.edu : Research Areas Control, Intelligent Systems, and Robotics (CIR) , System identification Design, Modeling and Analysis (DMA) , Design for Manufacturability Physical Electronics (PHY) , Semiconductor Manufacturing . Research Centers CITRIS People and Robots (CPAR) Tsinghua-UC Berkeley Shenzhen Institute (TBSI) . . Biography Kameshwar Poolla received his B.Tech. degree from the Indian Institute of Technology, Bombay in 1980; and his Ph.D. from the Center for Mathematical System Theory, University of Florida, Gainesville in 1984, both in Electrical Engineering. He served on the faculty of the Department of Electrical and Computer Engineering at the University of Illinois, Urbana from 1984 through 1991. Since 1991, he has been at the University of California, Berkeley, where he is now Professor in the Departments of Mechanical Engineering and Electrical Engineering and Computer Sciences. He has also held visiting appointments at Honeywell, McGill University, and MIT and has worked as a Field Engineer with Schlumberger AFR, Paris. He was co-founder of OnWafer Technologies, a start-up that offered yield enhancement and metrology solutions for the semiconductor industry. OnWafer was acquired by KLA-Tencor in 2007. Dr. Poolla was awarded the 1984 Outstanding Dissertation Award by the University of Florida; the 1988 NSF Presidential Young Investigator Award; the 1993 Hugo Schuck Best Paper Prize; the 1994 Donald P. Eckman Award; a 1997 JSPS Fellowship; the 1997 Distinguished Teaching Award from the University of California, Berkeley; and the 2004 and 2007 IEEE Transactions on Semiconductor Manufacturing Best Paper Prizes. He is the Cadence Design Systems Distinguished Professor of Mechanical Engineering. Dr. Poolla has been awarded 5 patents. . . Selected Publications G. Cavraro, R. Arghandeh, K. Poolla, and A. von Meier, "Data-driven approach for distribution network topology detection," in 2015 IEEE Power Energy Society General Meeting , 2015, pp. 1--5. L. Schenato, G. Barchi, D. Macii, R. Arghandeh, K. Poolla, and A. von Meier, "Bayesian linear state estimation using smart meters and PMU measurements in distribution grids," in Smart Grid Communications (SmartGridComm), 2014 IEEE International Conference on , 2014, pp. 572--577. B. Sinopoli, L. Schenato, M. Franceschetti, K. Poolla, M. Jordan, and S. S. Sastry, " Kalman filtering with intermittent observations ," IEEE Trans. Automatic Control: Special Issue on Sensor Networks , vol. 49, no. 9, pp. 1453-1464, Sep. 2004. M. Freed, M. Kruger, C. J. Spanos, and K. Poolla, " Autonomous on-wafer sensors for process modeling, diagnosis, and control ," IEEE Trans. Semiconductor Manufacturing , vol. 14, no. 3, pp. 255-264, Aug. 2001. K. Poolla and A. Tikku, " Robust performance against slowly-varying structured perturbations ," IEEE Trans. Automatic Control , vol. 40, no. 9, pp. 1589-1602, Sep. 1995. K. Poolla, P. Khargonekar, A. Tikku, J. Krause, and K. Nagpal, " A time-domain approach to model validation ," IEEE Trans. Automatic Control , vol. 39, no. 5, pp. 951-959, May 1994. . Awards, Memberships and Fellowships IEEE Electron Devices Society (EDS) Fellows , 2013 Institute of Electrical & Electronics Engineers (IEEE) Fellow , 2012 Control Systems Society Transition to Practice Award , 2010 UC Berkeley Distinguished Teaching Award , 1996 Donald P. Eckman Award , 1994 NSF Presidential Young Investigator (PYI) , 1988 . diff --git a/src/data/compiled_bios/3572.txt b/src/data/compiled_bios/3572.txt new file mode 100644 index 0000000000..1baca2fe6c --- /dev/null +++ b/src/data/compiled_bios/3572.txt @@ -0,0 +1 @@ +Jan M. Rabaey: Contact Information 563 Cory Hall tel: 510-6422328 jan@eecs.berkeley.edu : Research Areas Communications & Networking (COMNET) Design, Modeling and Analysis (DMA) Energy (ENE) Integrated Circuits (INC) Signal Processing (SP) Computer architecture . Research Centers Berkeley Wireless Research Center (BWRC) SWARM Lab CITRIS People and Robots (CPAR) Center for Neural Engineering & Prostheses (CNEP) . . Biography Jan holds the Donald O. Pederson Distinguished Professorship at the University of California at Berkeley. He is a founding director of the Berkeley Wireless Research Center (BWRC) and the Berkeley Ubiquitous SwarmLab, and has been the the Electrical Engineering Division Chair at Berkeley twice. Prof. Rabaey has made high-impact contributions to a number of fields, including advanced wireless systems, low power integrated circuits, sensor networks, and ubiquitous computing. His current interests include the conception of the next-generation integrated wireless systems over a broad range of applications, as well as exploring the interaction between the cyber and the biological world. He is the recipient of major awards, amongst which the IEEE Mac Van Valkenburg Award, the European Design Automation Association (EDAA) Lifetime Achievement award, and the Semiconductor Industry Association (SIA) University Researcher Award. He is an IEEE Fellow, a member of the Royal Flemish Academy of Sciences and Arts of Belgium, and has received honoray doctorates from Lund (Sweden), Antwerp (Belgium) and Tampere (Finland). He has been involved in a broad variety of start-up ventures. . . Selected Publications D. Seo, R. Neely, K. Shen, S. U, E. Alon, J. M. Rabaey, J. M. Carmena, and M. Maharbiz, "Wireless recording in the peripheral nervous system with ultrasonic neural dust," Neuron , vol. 91, pp. 529-539, April 2016. Y. H. Chee, A. Niknejad, and J. M. Rabaey, " An ultra-low-power injection locked transmitter for wireless sensor networks ," IEEE J. Solid-State Circuits , vol. 41, no. 8, pp. 1740-1748, Aug. 2006. J. van Greunen, Y. Markovsky, C. R. Baker, J. M. Rabaey, J. Wawrzynek, and A. Wolisz, " ZUMA: A platform for smart-home environments -- The case for infrastructure ," in Proc. 2nd IET Intl. Conf. on Intelligent Environments (IE 2006) , Vol. 1, Stevenage, UK: IET Press, 2006, pp. 257-266. M. Sheets, F. Burghardt, T. Karalar, J. Ammer, Y. H. Chee, and J. M. Rabaey, " A power-managed protocol processor for wireless sensor networks ," in 2006 Symp. on VLSI Circuits. Digest of Technical Papers , Piscataway, NJ: IEEE Press, 2006, pp. 212-213. D. Petrovic, K. Ramchandran, and J. M. Rabaey, " Overcoming untuned radios in wireless networks with network coding ," IEEE Trans. Information Theory , vol. 52, no. 6, pp. 2649-2657, June 2006. Y. Chee, A. Niknejad, and J. M. Rabaey, "A 89-W 1.9-GHz CMOs oscillator using FBAR resonator," in RFIC Digest of Papers , 2005, pp. 123-126. W. Weber, J. M. Rabaey, and E. Aarts, Eds., Ambient Intelligence , New York, NY: Springer-Verlag, 2005. Y. Chee, A. Niknejad, and J. M. Rabaey, "A class A/B low power amplifier for wireless sensor networks," in Proceedings of ISCAS , 2004, pp. IV 409-412. S. Roundy, P. K. Wright, and J. M. Rabaey, Energy Scavenging for Wireless Sensor Networks: With Special Focus on Vibrations , Boston, MA: Kluwer Academic Publishers/Springer, 2003. B. P. Otis and J. M. Rabaey, " A 300-muW 1.9-GHz CMOS oscillator utilizing micromachined resonators ," IEEE J. Solid-State Circuits , vol. 38, no. 7, pp. 1271-1274, July 2003. J. M. Rabaey, A. P. Chandrakasan, and B. Nikolic, Digital Integrated Circuits: A Design Perspective , 2 ed., Prentice Hall Electronics and VLSI Series, Upper Saddle River, NJ: Prentice Hall/Pearson Education, 2003. C. Savarese, J. M. Rabaey, and K. Langendoen, " Robust positioning algorithms for distributed ad-hoc wireless sensor networks ," in Proc. 2002 USENIX Annual Technical Conf. , C. S. Ellis, Ed., Berkeley, CA: USENIX Association, 2002, pp. 317-327. J. M. Rabaey, J. Ammer, T. Karalar, S. Li, B. Otis, M. Sheets, and T. Tuan, " PicoRadios for wireless sensor networks: The next challenge in ultra-low power design ," in 2002 IEEE Intl. Solid-State Circuits Conf. Digest of Technical Papers , Vol. 45, Piscataway, NJ: IEEE Press, 2002, pp. 200-201. H. Zhang, V. Prabhu, V. George, M. Wan, M. Benes, A. Abnous, and J. M. Rabaey, " A 1V heterogeneous reconfigurable processor IC for baseband wireless applications ," in 2000 IEEE Intl. Solid-State Circuits Conf. Digest of Technical Papers , Vol. 43, Piscataway, NJ: IEEE Press, 2000, pp. 68-69. J. M. Rabaey, " Reconfigurable processing: The solution to low-power programmable DSP ," in Proc. 1997 IEEE Intl. Conf. on Acoustics, Speech, and Signal Processing (ICASSP '97) , Vol. 1, Los Alamitos, CA: IEEE Computer Society Press, 1997, pp. 275-278. J. M. Rabaey and M. Pedram, Eds., Low Power Design Methodologies , The Springer International Series in Engineering and Computer Science, Vol. 336, Boston, MA: Kluwer Academic Publishers/Springer, 1995. E. Brewer, T. Burd, F. Burghardt, A. Burstein, R. Doering, K. Lutz, S. Narayansaramy, T. Pering, B. Richards, T. Truman, R. H. Katz, J. M. Rabaey, and R. W. Brodersen, " Design of wireless portable systems ," in Proc. 40th IEEE Computer Society Intl. Conf. (COMPCON '95): Technologies for the Information Superhighway , Los Alamitos, CA: IEEE Computer Society Press, 1995, pp. 169-178. P. Landman and J. M. Rabaey, "Black-box capacitance models for architectural power analysis," in Proc. 1994 Intl. Workshop on Low Power Design , 1994, pp. 165-170. P. D. Hoang and J. M. Rabaey, " Scheduling of DSP programs onto multiprocessors for maximum throughput ," IEEE Trans. Signal Processing , vol. 41, no. 6, pp. 2225-2235, June 1993. A. P. Chandrakasan, M. Potkonjak, J. M. Rabaey, and R. W. Brodersen, " HYPER-LP: A system for power minimization using architectural transformations ," in IEEE/ACM Intl. Conf. on Computer-Aided Design (ICCAD '92). Digest of Technical Papers , Los Alamitos, CA: IEEE Computer Society Press, 1992, pp. 300-303. . Awards, Memberships and Fellowships SRC Aristotle Award , 2017 Royal Flemish Academy of Belgium for Science and the Arts Elected Member , 2011 SIA University Researcher Award , 2010 EDAA Lifetime Achievement Award , 2009 A. Richard Newton GSRC Industrial Impact Award , 2009 CASS Mac E. Van Valkenburg Award , 2008 Jack Raper Award for Outstanding Technology Directions Paper at ISSCC , 2002 Institute of Electrical & Electronics Engineers (IEEE) Fellow , 1995 Signal Processing Society Senior (Best Paper) Award , 1994 Transactions on Computer Aided Design Best Paper Award , 1985 . diff --git a/src/data/compiled_bios/3573.txt b/src/data/compiled_bios/3573.txt new file mode 100644 index 0000000000..8df006a25c --- /dev/null +++ b/src/data/compiled_bios/3573.txt @@ -0,0 +1 @@ +Kannan Ramchandran: Contact Information 269 Cory Hall tel: 510-642-2353 fax: 642-2845 kannanr@eecs.berkeley.edu : Research Areas Communications & Networking (COMNET) Signal Processing (SP) Control, Intelligent Systems, and Robotics (CIR) . Research Centers Berkeley Laboratory for Information and System Sciences (BLISS) Simons Institute for the Theory of Computing (SITC) Berkeley Audio-visual Signal processing and Communication Systems (BASiCS) Berkeley Deep Drive (BDD) . Teaching Schedule Spring 2019 EECS 126. Probability and Random Processes , TuTh 12:30PM - 1:59PM, Stanley 105 . Biography He received his B.E. from the City College of New York in 1982, and his M.S. and Ph.D. from Columbia University in 1984 and 1993, respectively. After completing his Ph.D., Professor Ramchandran became an Assistant Professor at the University of Illinois, Urbana-Champaign and Associate Director of the Beckman Institute Multimedia Laboratory. In the Beckman Institute, he was a member of the Image Formation and Processing Group. In 1999, he came to UC Berkeley's EECS Department and created the Berkeley Audiovisual Signal Processing and Communication Systems (BASiCS) Lab here. Professor Ramchandran is an IEEE Fellow and has been awarded the Outstanding Teaching Award by the EECS Department at UC Berkeley. . Education 1993, Ph.D., Computer Science, Columbia University 1984, M.S., Computer Science, Columbia University 1982, B.E., Computer Science, City College of New York . Selected Publications X. Pan, M. Lam, S. Tu, D. Papailiopoulos, C. Zhang, M. Jordan, K. Ramchandran, C. Re, and B. Recht, " Cyclades: Conflict-free Asynchronous Machine Learning ," in Advances in Neural Information Processing Systems 29 , 2016. V. N. Ekambaram, G. C. Fanti, B. Ayazifar, and K. Ramchandran, " Spline-Like Wavelet Filterbanks for Multiresolution Analysis of Graph-Structured Data ," Signal and Information Processing Over Networks, IEEE Transactions on , vol. 1, no. 4, pp. 268-278, Dec. 2015. X. Pan, D. Papailiopoulos, S. Omyak, B. Recht, K. Ramchandran, and M. Jordan, " Parallel correlation clustering on big graphs ," in Advances in Neural Information Processing Systems 28 , 2015, pp. 82--90. N. Shah, S. Balakrishnan, B. Joseph, A. Parekh, K. Ramchandran, and M. Wainwright, "Estimation from Pairwise Comparisons: Sharp Minimax Bounds with Topology Dependence," in AISTATS, San Diego, May 2015 , 2015. L. Tian, X. Li, K. Ramchandran, and L. Waller, " Multiplexed coded illumination for Fourier Ptychography with an LED array microscope ," Biomed. Opt. Express , vol. 5, no. 7, pp. 2376--2389, 2014. V. N. Ekambaram, G. C. Fanti, B. Ayazifar, and K. Ramchandran, " Critically-sampled perfect-reconstruction spline-wavelet filterbanks for graph signals ," in Global Conference on Signal and Information Processing (GlobalSIP), 2013 IEEE , 2013, pp. 475-478. V. N. Ekambaram, G. C. Fanti, B. Ayazifar, and K. Ramchandran, " Wavelet-regularized graph semi-supervised learning ," in Global Conference on Signal and Information Processing (GlobalSIP), 2013 IEEE , 2013, pp. 423-426. V. N. Ekambaram, G. C. Fanti, B. Ayazifar, and K. Ramchandran, " Circulant structures and graph signal processing ," in Image Processing (ICIP), 2013 20th IEEE International Conference on , 2013, pp. 834-838. V. N. Ekambaram, G. C. Fanti, B. Ayazifar, and K. Ramchandran, " Multiresolution Graph Signal Processing via Circulant Structures ," in Digital Signal Processing and Signal Processing Education Meeting (DSP/SPE), 2013 IEEE , 2013, pp. 112-117. O. Bakr, M. Johnson, R. Mudumbai, and K. Ramchandran, " Multi-antenna interference cancellation techniques for cognitive radio applications ," in IEEE Wireless Communications and Networking Conference (WCNC) , 2009. O. Bakr, M. Johnson, B. Wild, and K. Ramchandran, " A multi-antenna framework for spectrum reuse based on primary-secondary cooperation ," in IEEE Symposium on New Frontiers in Dynamic Spectrum Access Networks (DySPAN) , 2008. D. Schonberg, C. Yeo, S. C. Draper, and K. Ramchandran, " On compression of encrypted video ," in Proc. 2007 Data Compression Conf. (DCC '07) , J. A. Storer and M. W. Marcellin, Eds., Los Alamitos, CA: IEEE Computer Society, 2007, pp. 173-182. J. Wang, V. Prabhakaran, and K. Ramchandran, " Syndrome-based robust video transmission over networks with bursty losses ," in Proc. 2006 Intl. Conf. on Image Processing (ICIP 2006) , Piscataway, NJ: IEEE Press, 2006, pp. 741-744. R. Puri, A. Majumdar, P. Ishwar, and K. Ramchandran, " Distributed video coding in wireless sensor networks ," IEEE Signal Processing Magazine , vol. 23, no. 4, pp. 94-106, July 2006. D. Petrovic, K. Ramchandran, and J. M. Rabaey, " Overcoming untuned radios in wireless networks with network coding ," IEEE Trans. Information Theory , vol. 52, no. 6, pp. 2649-2657, June 2006. B. Wild and K. Ramchandran, " Detecting primary receivers for cognitive radio applications ," in Proc. 2005 1st IEEE Intl. Symp. on New Frontiers in Dynamic Spectrum Access Networks (DySPAN 2005) , Piscataway, NJ: IEEE Press, 2005, pp. 124-130. A. Majumdar and K. Ramchandran, " PRISM: An error-resilient video coding paradigm for wireless networks ," in Proc. 1st Intl. Conf. on Broadband Networks , Los Alamitos, CA: IEEE Computer Society, 2004, pp. 478-485. J. van Greunen, D. Petrovic, A. Bonivento, J. M. Rabaey, K. Ramchandran, and A. L. Sangiovanni-Vincentelli, " Adaptive sleep discipline for energy conservation and robustness in dense sensor networks ," in Proc. 2004 IEEE Intl. Conf. on Communications , Vol. 6, Piscataway, NJ: IEEE Press, 2004, pp. 3657-3662. R. Jornsten, W. Wang, B. Yu, and K. Ramchandran, " Microarray image compression: SLOCO and the effect of information loss ," Signal Processing: Special Issue on Genomic Signal Processing , vol. 83, no. 4, pp. 859-869, April 2003. S. S. Pradhan and K. Ramchandran, " Distributed source coding using syndromes (DISCUS): Design and construction ," IEEE Trans. Information Theory , vol. 49, no. 3, pp. 626-643, March 2003. . Awards, Memberships and Fellowships IEEE Koji Kobayashi Computers and Communications Award , 2017 IEEE Communications Society (COMSOC) & Information Theory Society (IT) Joint Paper Award , 2012 Electrical Engineering Award for Outstanding Teaching , 2009 Institute of Electrical & Electronics Engineers (IEEE) Fellow , 2004 Okawa Research Grant , 2000 NSF Faculty Early Career Development Award (CAREER) , 1997 . diff --git a/src/data/compiled_bios/3574.txt b/src/data/compiled_bios/3574.txt new file mode 100644 index 0000000000..14965c9e7b --- /dev/null +++ b/src/data/compiled_bios/3574.txt @@ -0,0 +1 @@ +Gireeja Ranade: Contact Information gireeja@eecs.berkeley.edu : Research Areas Communications & Networking (COMNET) Artificial Intelligence (AI) Control, Intelligent Systems, and Robotics (CIR) Signal Processing (SP) Cyber-Physical Systems and Design Automation (CPSDA) Education (EDUC) . . Teaching Schedule Spring 2019 EECS 127. Optimization Models in Engineering , TuTh 11:00AM - 12:29PM, Li Ka Shing 245 EECS 227AT. Optimization Models in Engineering , TuTh 11:00AM - 12:29PM, Li Ka Shing 245 . . Education 2014, Ph.D., EECS, University of California, Berkeley 2009, M.S., EECS, University of California, Berkeley 2007, B.S., EECS, Massachusetts Institute of Technology . . Awards, Memberships and Fellowships Electrical Engineering Award for Outstanding Teaching , 2017 . diff --git a/src/data/compiled_bios/3575.txt b/src/data/compiled_bios/3575.txt new file mode 100644 index 0000000000..537867a395 --- /dev/null +++ b/src/data/compiled_bios/3575.txt @@ -0,0 +1 @@ +Benjamin Recht: Contact Information 572 Cory Hall brecht@berkeley.edu : Research Areas Control, Intelligent Systems, and Robotics (CIR) Signal Processing (SP) Machine Learning (ML) Optimization (OPT) . Research Centers Simons Institute for the Theory of Computing (SITC) Berkeley Artificial Intelligence Research Lab (BAIR) CITRIS People and Robots (CPAR) Berkeley Deep Drive (BDD) . Teaching Schedule Spring 2019 EE C227C. Convex Optimization and Approximation , TuTh 12:30PM - 1:59PM, LeConte 2 . . . . Awards, Memberships and Fellowships NIPS Test of Time Award , 2017 William O. Baker Award for Initiatives in Research , 2015 Okawa Research Grant , 2014 NSF Presidential Early Career Award for Scientists & Engineers (PECASE) , 2012 Lagrange Prize for Continuous Optimization , 2012 Sloan Research Fellow , 2011 . diff --git a/src/data/compiled_bios/3576.txt b/src/data/compiled_bios/3576.txt new file mode 100644 index 0000000000..63d4a005bf --- /dev/null +++ b/src/data/compiled_bios/3576.txt @@ -0,0 +1 @@ +Jaijeet Roychowdhury: Contact Information 545E Cory Hall tel: 643-5664 jr@berkeley.edu : Research Areas Artificial Intelligence (AI) Cyber-Physical Systems and Design Automation (CPSDA) Computer Architecture & Engineering (ARC) Control, Intelligent Systems, and Robotics (CIR) . . Teaching Schedule Spring 2019 EE 16B. Designing Information Devices and Systems II , TuTh 11:00AM - 12:29PM, Wheeler 150 . Biography Prof. Roychowdhury's Research and Personal pages | Group Publications page | Class pages . Jaijeet Roychowdhury is a Professor of EECS at the University of California at Berkeley. His research interests include machine learning, novel computational paradigms, and the analysis, simulation, verification and design of cyber-physical, electronic, biological, nanoscale and mixed-domain systems. Contributions his group has made include the concept of self-sustaining oscillators for Ising-based and von Neumann computation, novel machine-learning techniques for dynamical systems, theory and techniques for oscillator phase macromodels, injection locking and phase noise, multi-time partial differential equations, techniques for model reduction of time-varying and nonlinear systems, and open-source infrastructures for reproducible research. Roychowdhury received a Bachelor's degree in electrical engineering from the Indian Institute of Technology, Kanpur, India, in 1987, and a Ph.D. degree in electrical engineering and computer science from UC Berkeley in 1993. From 1993 to 1995, he was with the Computer-Aided Design (CAD) Laboratory, AT&T Bell Laboratories, Allentown, PA. From 1995 to 2000, he was with the Communication Sciences Research Division, Bell Laboratories, Murray Hill, NJ. From 2000 to 2001, he was with CeLight Inc. (an optical networking startup), Silver Spring, MD. From 2001-2008, he was with the Electrical and Computer Engineering Department and the Digital Technology Center at the University of Minnesota in Minneapolis. Roychowdhury was cited for Extraordinary Achievement by Bell Laboratories in 1996. Over the years, he has authored or co-authored seven best or distinguished papers. He has served on technical and administrative committees within several conferences and professional organizations, including ICCAD, DAC, DATE, ASP-DAC and CEDA. Roychowdhury was a co-founder of Berkeley Design Automation, a startup later acquired by Mentor Graphics. He is a Fellow of the IEEE. . Education 1993, PhD, EECS, Berkeley 1989, MS, EECS, Berkeley 1987, B.Tech., EE, IIT Kanpur . Selected Publications T. Wang and J. Roychowdhury, " Rigorous Q Factor Formulation and Characterization for Nonlinear Oscillators ," arXiv , vol. 1710, no. 02015, Oct. 2017. T. Wang and J. Roychowdhury, " Oscillator-based Ising Machines ," arXiv , vol. 1709, no. 08102, Oct. 2017. T. Wang and J. Roychowdhury, " Well-Posed Models of Memristive Devices ," arXiv , vol. 1605, no. 04897, May 2016. J. Roychowdhury, " General-Purpose Boolean Computation Using Sub-Harmonic Injection Locking in Self-Sustaining Oscillators ," Proceedings of the IEEE , vol. 103, no. 11, pp. 1958-1969, Nov. 2015. T. Wang, K. Aadithya, B. Wu, J. Yao, and J. Roychowdhury, " MAPP: The Berkeley Model and Algorithm Prototyping Platform ," in Proc. Custom Integrated Circuits Conference , 2015. J. Roychowdhury, " Boolean Computation Using Self-Sustaining Nonlinear Oscillators ," arXiv , vol. 1410, no. 5016, Oct. 2014. T. Wang and J. Roychowdhury, " PHLOGON: PHase-based LOGic using Oscillatory Nanosystems ," in Proc. Unconventional Computation and Natural Computation: 13th International Conference, UCNC 2014, London, ON, Canada, July 14-18, 2014 , LNCS sublibrary: Theoretical computer science and general issues, Springer, 2014. K. Aadithya, S. Ray, P. Nuzzo, A. Mishchenko, R. K. Brayton, and J. Roychowdhury, " ABCD-NL: Approximating Continuous Non-Linear Dynamical Systems using Purely Boolean Models for Analog/Mixed-Signal Verification ," in Proc. IEEE Asia South-Pacific Design Automation Conference , 2014. K. Aadithya, A. Demir, S. Venugopalan, and J. Roychowdhury, " Accurate Prediction of Random Telegraph Noise Effects in SRAMs and DRAMs ," IEEE Trans. Computer-Aided Design , Jan. 2013. R. K. Balachandran, J. Roychowdhury, K. Dorfman, and V. Barocas, " Telescopic Time-Scale Bridging for Modeling Dispersion in Rapidly Oscillating Flows ," AIChE Journal , July 2012. A. Neogy and J. Roychowdhury, " Analysis and design of sub-harmonically injection locked oscillators ," in Proc. IEEE DATE , 2012. D. Amsallem and J. Roychowdhury, " ModSpec: An Open, Flexible Specification Framework for Multi-Domain Device Modelling ," in Proc. IEEE ICCAD , 2011. J. Roychowdhury, " Hierarchical Abstraction of Phase Response Curves of Synchronized Systems of Coupled Oscillators ," arXiv , June 2011. P. Bhansali and J. Roychowdhury, " Injection Locking Analysis and Simulation of Weakly Coupled Oscillator Networks ," in Advanced Simulation and Verification of Electronic and Biological Systems , Springer, 2011. C. Gu and J. Roychowdhury, " Generalized Nonlinear Timing/Phase Macromodeling: Theory, Numerical Methods and Applications ," in Proc. IEEE ICCAD , 2010. C. Gu and J. Roychowdhury, "Computing Probabilistic Hypervolumes," in Extreme Statistics in Nanoscale Memory Design (Integrated Circuits and Systems) , Springer, 2010. J. Roychowdhury, Numerical Simulation and Modelling of Electronic and Biochemical Systems , Foundations and Trends in Electronic Design Automation, NOW Publishers, 2009. C. Gu and J. Roychowdhury, " Model Reduction via Projection onto Nonlinear Manifolds, with Applications to Analog Circuits and Biochemical Systems ," in Proc. IEEE ICCAD , 2008. N. R. Shanbhag, S. Mitra, G. de Veciana, M. Orshansky, R. Marculescu, J. Roychowdhury, D. Jones, and J. M. Rabaey, " The search for alternative computational paradigms ," IEEE Design & Test of Computers , vol. 25, no. 4, pp. 334-343, July 2008. S. Srivastava and J. Roychowdhury, " Independent and interdependent latch setup/hold time characterization via Newton-Raphson solution and Euler curve tracking on state-transition equations ," IEEE Trans. Computer-Aided Design of Integrated Circuits and Systems , vol. 27, no. 5, pp. 817-830, May 2008. . Awards, Memberships and Fellowships Institute of Electrical & Electronics Engineers (IEEE) Fellow , 2009 . diff --git a/src/data/compiled_bios/3577.txt b/src/data/compiled_bios/3577.txt new file mode 100644 index 0000000000..103950a6f1 --- /dev/null +++ b/src/data/compiled_bios/3577.txt @@ -0,0 +1 @@ +Anant Sahai: Contact Information 267 Cory Hall sahai@eecs.berkeley.edu : Research Areas Communications & Networking (COMNET) , Information Theory, Cognitive Radio and Spectrum Sharing, Wireless Protocols Artificial Intelligence (AI) , Learning for collaboration and coordination; machine learning Control, Intelligent Systems, and Robotics (CIR) , Distributed and Networked Control Theory (THY) , Information Theory Signal Processing (SP) . Research Centers Berkeley Wireless Research Center (BWRC) Berkeley Laboratory for Information and System Sciences (BLISS) . Teaching Schedule Spring 2019 EE 16B. Designing Information Devices and Systems II , TuTh 11:00AM - 12:29PM, Wheeler 150 CS 198-71. Going Down the EECS Stack DeCal , We 6:00PM - 7:59PM, Soda 271 . Biography Anant did his undergraduate work in EECS at UC Berkeley, and then went to MIT as a graduate student studying Electrical Engineering and Computer Science (Course 6 in MIT-speak). After graduating with his PhD, and before joining the Berkeley faculty, he was on the theoretical/algorithmic side of a team at the startup Enuvis, Inc. developing new adaptive software radio techniques for GPS in very low SNR environments (such as those encountered indoors in urban areas). He currently serves also as faculty adviser to UC Berkeley's chapter of Eta Kappa Nu. He has previously served as the Treasurer for the IEEE Information Theory Society. His research interests span information theory, decentralized control, machine learning, and wireless communication --- with a particular interest at the intersections of these fields. Within wireless communication, he is particularly interested in Spectrum Sharing and Cognitive Radio as well as very-low-latency ultra-reliable wireless communication protocols for the Internet Of Things. Recently, he is very interested in machine learning for cooperation, control, and wireless communication. . Education 2001, PhD, EECS, Massachusetts Institute of Technology 1996, SM, EECS, Massachusetts Institute of Technology 1994, BS, EECS, University of California, Berkeley . Selected Publications K. Harrison, V. Muthukumar, and A. Sahai, " Whitespace evaluation software (WEST) and its applications to whitespace in Canada and Australia ," in Dynamic Spectrum Access Networks (DySPAN), 2015 IEEE International Symposium on , 2015, pp. 47-58. V. Narasimha Swamy, S. Suri, P. Rigge, M. Weiner, G. Ranade, A. Sahai, and B. Nikolic, " Cooperative communication for high-reliability low-latency wireless control ," in Proceedings of the IEEE International Conference on Communications , 2015, pp. 4380-4386. V. Muthukumar, A. Daruna, V. Kamble, K. Harrison, and A. Sahai, " Whitespaces after the USA's TV incentive auction: A spectrum reallocation case study ," in Communications (ICC), 2015 IEEE International Conference on , 2015, pp. 7582-7588. P. Grover, A. Wagner, and A. Sahai, " Information Embedding and the Triple Role of Control ," IEEE Transactions on Information Theory , vol. 61, no. 4, pp. 1539 - 1549, April 2015. H. Palaiyanur and A. Sahai, " On Haroutunian's Exponent for Parallel Channels and an Application to Fixed-Delay Codes Without Feedback ," Information Theory, IEEE Transactions on , vol. 61, no. 3, pp. 1298-1308, March 2015. S. Hasan, K. Heimerl, K. Harrison, K. Ali, A. Sahai, and E. Brewer, " GSM whitespaces: An opportunity for rural cellular service ," in Proceedings of the 2014 IEEE International Symposium on Dynamic Spectrum Access Networks (DYSPAN) , 2014. P. Grover, S. Y. Park, and A. Sahai, " Approximately Optimal Solutions to the Finite-Dimensional Witsenhausen Counterexample ," IEEE Transactions on Automatic Control , vol. 58, no. 9, pp. 2189-2204, Sep. 2013. J. Zhan, S. Y. Park, M. Gastpar, and A. Sahai, " Linear Function Computation in Networks: Duality and Constant Gap Results ," IEEE Journal on Selected Areas in Communication , vol. 31, no. 4, pp. 620-638, April 2013. P. Grover, K. A. Woyach, and A. Sahai, " Towards a Communication-Theoretic Understanding of System-Level Power Consumption ," IEEE Journal on Selected Areas in Communications , vol. 29, no. 8, pp. 1744 -1755, Sep. 2011. A. Sahai and P. Grover, " Demystifying the Witsenhausen Counterexample [Ask the Experts] ," IEEE Control Systems Magazine , vol. 30, no. 6, pp. 20 -24, Dec. 2010. K. Eswaran, A. Sarwate, A. Sahai, and M. Gastpar, " Zero-rate feedback can achieve the empirical capacity ," IEEE Transactions on Information Theory , vol. 56, no. 1, pp. 25-39, Jan. 2010. P. Grover and A. Sahai, " Witsenhausen's counterexample as assisted interference suppression ," International Journal of Systems, Control and Communications , vol. 2, no. 1/2/3, pp. 197-237, Jan. 2010. R. Tandra, M. Mishra, and A. Sahai, " What is a spectrum hole and what does it take to recognize one? ," Proceedings of the IEEE , pp. 824-848, May 2009. A. Sahai, K. A. Woyach, G. Atia, and V. Saligrama, " A technical perspective on light-handed regulation for cognitive radios ," IEEE Communications Magazine , vol. 47, no. 3, pp. 96-102, March 2009. M. Mishra and A. Sahai, " How much white space is there? ," EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2009-3, Jan. 2009. R. Tandra, M. Mishra, and A. Sahai, " Extended edition: What is a spectrum hole and what does it take to recognize one? ," EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2008-110, Aug. 2008. A. Sahai, " Why block length and delay behave differently for channel coding with feedback ," IEEE Transactions on Information Theory , vol. 54, no. 5, pp. 1860-1886, May 2008. R. Tandra and A. Sahai, " SNR walls for signal detection ," IEEE Journal of Selected Topics in Signal Processing , vol. 2, no. 1, pp. 4 - 17, Feb. 2008. A. Sahai and P. Grover, " The price of certainty: "waterslide curves" and the gap to capacity ," EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2008-1, Jan. 2008. C. Chang and A. Sahai, " The price of ignorance: the impact on side-information for delay in lossless source coding ," 2007. . Awards, Memberships and Fellowships Electrical Engineering Award for Outstanding Teaching , 2017 Leonard G. Abraham Prize , 2012 . diff --git a/src/data/compiled_bios/3578.txt b/src/data/compiled_bios/3578.txt new file mode 100644 index 0000000000..d1d933af92 --- /dev/null +++ b/src/data/compiled_bios/3578.txt @@ -0,0 +1 @@ +Sayeef Salahuddin: Contact Information 515 Sutardja Dai Hall tel: 510-642-4662 : Research Areas Physical Electronics (PHY) Design, Modeling and Analysis (DMA) Energy (ENE) Scientific Computing (SCI) . Research Centers Center for Energy Efficient Electronics Science (E3S) . Teaching Schedule Spring 2019 EE 130. Integrated-Circuit Devices , TuTh 2:00PM - 3:29PM, Cory 521 EE 230A. Integrated-Circuit Devices , TuTh 2:00PM - 3:29PM, Cory 521 . Biography Sayeef Salahuddin is a professor of Electrical Engineering and Computer Sciences at the University of California Berkeley. Salahuddin received his B.Sc. in Electrical and Electronic Engineering from BUET (Bangladesh University of Engineering and Technology) in 2003 and PhD in Electrical and Computer Engineering from Purdue University in 2007. He joined the faculty of Electrical Engineering and Computer Science at University of California, Berkeley in 2008. His work has focused on conceptualization and exploration of novel device physics for low power electronic and spintronic devices. Salahuddin has championed the concept of using 'interacting systems' for switching, showing fundamental advantage of such systems over the conventional devices in terms of power dissipation. This led to the discovery of Negative Capacitance Transistors that allows for sub kT/q subthreshold operation in transistors. Salahuddin has received the Presidential Early Career Award for Scientist and Engineers (PECASE), the highest honor bestowed by the US Government on early career scientist and engineers. Salahuddin also received a number of other awards including the NSF CAREER award, the IEEE Nanotechnology Early Career Award, the Young Investigator Awards from the Air Force Office of Scientific Research (AFOSR) and the Army Research Office (ARO) and best paper awards from IEEE Transactions on VLSI Systems and from the VLSI-TSA conference. In 2012, Applied Physics Letters (APL) highlighted two of his papers among 50 most notable papers among all areas published in APL within 2009-2012. Salahuddin is a co-director of the Berkeley Device Modeling Center and Berkeley Center for Negative Capacitance Transistors. He served on the editorial board of IEEE Electron Devices Letters (2013-16) and was the chair the IEEE Electron Devices Society committee on Nanotechnology (2014-16). . Education 2007, Ph.D., Electrical and Computer Engineering, Purdue University 2003, B.S., Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology . Selected Publications A. I. Khan, K. Chatterjee, B. Wang, S. Drapcho, L. You, C. Serrao, S. R. Bakaul, R. Ramesh, and S. Salahuddin, " Negative capacitance in a ferroelectric capacitor ," Nature materials , vol. 14, no. 2, pp. 182--186, Jan. 2015. D. Bhowmik, L. You, and S. Salahuddin, " Spin Hall effect clocking of nanomagnetic logic without a magnetic field ," Nature Nanotechnology , 2013. S. Salahuddin, " Solid-state physics: A new spin on spintronics ," Nature , vol. 494, no. 7435, pp. 43--44, 2013. M. R. Esmaeili-Rad and S. Salahuddin, " High Performance Molybdenum Disulfide Amorphous Silicon Heterojunction Photodetector ," Scientific Reports , vol. 3, Aug. 2013. Y. Yoon, K. Ganapathi, and S. Salahuddin, " How Good Can Monolayer MoS2 Transistors Be? ," Nano Letters , vol. 11, no. 9, pp. 3768-3773, 2011. Y. Yoon, D. E. Nikonov, and S. Salahuddin, " Role of phonon scattering in graphene nanoribbon transistors: Nonequilibrium Green's function method with real space approach ," Applied Physics Letters , vol. 98, no. 20, pp. 203503, 2011. J. T. Heron, M. Trassin, K. Ashraf, M. Gajek, Q. He, S. Y. Yang, D. E. Nikonov, Y. Chu, S. Salahuddin, and R. Ramesh, " Electric-Field-Induced Magnetization Reversal in a Ferromagnet-Multiferroic Heterostructure ," Phys. Rev. Lett. , vol. 107, pp. 217202, Nov. 2011. A. I. Khan, D. Bhowmik, P. Yu, S. J. Kim, X. Pan, R. Ramesh, and S. Salahuddin, " Experimental evidence of ferroelectric negative capacitance in nanoscale heterostructures (Cover Story) ," Applied Physics Letters , vol. 99, no. 11, pp. 113501, Sep. 2011. K. Ganapathi and S. Salahuddin, " Heterojunction Vertical Band-to-Band Tunneling Transistors for Steep Subthreshold Swing and High on Current ," Electron Device Letters, IEEE , vol. 32, no. 5, pp. 689 -691, May 2011. Y. Yoon and S. Salahuddin, " Barrier-free tunneling in a carbon heterojunction transistor (Cover Story) ," Applied Physics Letters , vol. 97, no. 3, pp. 033102, July 2010. B. Behin-Aein, D. Datta, S. Salahuddin, and S. Datta, " Proposal for an all-spin logic device with built-in memory ," Nature Nanotechnology , vol. 5, no. 4, pp. 266--270, Feb. 2010. S. Salahuddin and S. Datta, " Use of negative capacitance to provide voltage amplification for low power nanoscale devices (Issue Cover Story) ," Nanoletters , vol. 8, no. 2, pp. 405-410, Feb. 2008. S. Salahuddin, M. Lundstrom, and S. Datta, "Transport effects on signal propagation in quantum wires," Electron Devices, IEEE Transactions on , vol. 52, no. 8, pp. 1734--1742, 2005. . Awards, Memberships and Fellowships Institute of Electrical & Electronics Engineers (IEEE) Fellow , 2018 NSF Presidential Early Career Award for Scientists & Engineers (PECASE) , 2013 Very Large Scale Integration Systems Best Paper Award , 2013 NSF Faculty Early Career Development Award (CAREER) , 2012 Early Career Award in Nanotechnology , 2012 Hellman Fellow , 2010 SRC Inventor Recognition Award , 2007 . diff --git a/src/data/compiled_bios/3579.txt b/src/data/compiled_bios/3579.txt new file mode 100644 index 0000000000..a4ce4714de --- /dev/null +++ b/src/data/compiled_bios/3579.txt @@ -0,0 +1 @@ +Seth R. Sanders: Contact Information 518 Cory Hall tel: 510-642-4425 sanders@eecs.berkeley.edu : Research Areas Energy (ENE) Control, Intelligent Systems, and Robotics (CIR) Integrated Circuits (INC) Power and electronics systems . . Teaching Schedule Spring 2019 EE 113. Power Electronics , MoWe 9:30AM - 10:59AM, Cory 293 EE 213A. Power Electronics , MoWe 9:30AM - 10:59AM, Cory 293 . Biography He received the S.B. degrees in Electrical Engineering and Physics and the S.M. and Ph.D. in Electrical Engineering from the Massachusetts Institute of Technology, Cambridge, 1981, 1985, and 1989, respectively. He was a Design Engineer at the Honeywell Test Instruments Division, Denver, CO. Since 1989, he has been on the faculty of the Department of Electrical Engineering and Computer Sciences, UC Berkeley, where he is presently Professor. Dr. Sanders received the NSF Young Investigator Award in 1993 and Best Paper Awards from the IEEE Power Electronics Society and the IEEE Industry Applications Society. He has served as Chair of the IEEE Technical Committee on Computers in Power Electronics, and as a Member-At-Large of the IEEE PELS Adcom. . Education 1989, Ph.D., Electrical Engineering, Massachusetts Institute of Technology 1985, S.M., Electrical Engineering, Massachusetts Institute of Technology 1981, S.B, Electrical Engineering and Physics, Massachusetts Institute of Technology . Selected Publications A. Madduri, J. Rosa, S. R. Sanders, E. Brewer, and P. Matthew, "Design and verification of smart and scalable DC microgrids for emerging regions," in Energy Conversion Congress and Exposition (ECCE), 2013 IEEE , 2013, pp. 73--79. J. Xiao, A. Peterchev, J. Zhang, and S. R. Sanders, " A 4-mu A quiescent-current dual-mode digitally controlled buck converter IC for cellular phone applications ," IEEE Journal of Solid-State Circuits , vol. 39, no. 12, pp. 2342-2348, Dec. 2004. P. Tsao, M. Senesky, and S. R. Sanders, " An integrated flywheel energy storage system with homopolar inductor motor/generator and high-frequency drive ," IEEE Trans. Industry Applications , vol. 39, no. 6, pp. 1710-1725, Nov. 2003. A. V. Peterchev and S. R. Sanders, " Quantization resolution and limit cycling in digitally controlled PWM converters ," IEEE Trans. Power Electronics , vol. 18, no. 1, pt. 2, pp. 301, Jan. 2003. L. Daniel, C. R. Sullivan, and S. R. Sanders, " Design of microfabricated inductors ," IEEE Trans. Power Electronics , vol. 14, no. 4, pp. 709-723, July 1999. S. R. Sanders, J. M. Noworolski, X. Z. Liu, and G. C. Verghese, " Generalized averaging method for power conversion circuits ," IEEE Trans. Power Electronics , vol. 6, no. 2, pp. 251-259, April 1991. . Awards, Memberships and Fellowships Institute of Electrical & Electronics Engineers (IEEE) Fellow , 2009 NSF Young Investigator (NYI) , 1993 . diff --git a/src/data/compiled_bios/358.txt b/src/data/compiled_bios/358.txt new file mode 100644 index 0000000000..aeb8ac8fa2 --- /dev/null +++ b/src/data/compiled_bios/358.txt @@ -0,0 +1 @@ +Name: Karami, Gity:: Position: Senior Lecturer:: Degrees: Postdoctoral Fellow in Data Science, Southern Methodist University Lyle School of Engineering, Dallas, Texas, 2018; P.h.D., Computer Science, Southern Methodist University, Dallas, Texas, 2017; M.S., Software Engineering, Southern Methodist University, Dallas, Texas, 2016; M.S., Information Technology Engineering, Shiraz University, Iran, 2008; Research Interests: Software Testing; Software Reliability and Safety; Software Usability; Human Computer Interaction (HCI); Data Mining; Machine Learning; Representative Publications: Karami and J. Tian, Maintaining accurate web usage models using updates from activity diagrams, Information and Software Technology, Vol.96, pp. 68-77, April, 2018.; Karami and J. Tian, Applying Task Models from Human Computer Interaction to Support and Improve Usage Based Statistical Testing for Web Applications, International Journal of Computers and Their Applications, Vol. 25, No.2, pp. 64-75, June, 2018 (Invited Journal Paper).; Karami and J. Tian, Improving Web Application Reliability and Testing Using Accurate Usage Models, In: Lee R.(eds) Software Engineering Research, Management, and Application (SERA 2017), Studies in Computational Intelligence (SCI), Vol. 722, Springer, 2018.; Karami and J. Tian, Using Task Models to Maintain Accuracy of Web Usage Models, in 30th International Conference on Computer Applications in Industry and Engineering (CAINE), 2017.; diff --git a/src/data/compiled_bios/3580.txt b/src/data/compiled_bios/3580.txt new file mode 100644 index 0000000000..98c8782369 --- /dev/null +++ b/src/data/compiled_bios/3580.txt @@ -0,0 +1 @@ +Alberto L. Sangiovanni-Vincentelli: Contact Information 515 Cory Hall tel: 510-642-4882 alberto@berkeley.edu : Research Areas Cyber-Physical Systems and Design Automation (CPSDA) Control, Intelligent Systems, and Robotics (CIR) , Hybrid systems; Design methodologies and tools Artificial Intelligence (AI) , formal methods for AI, falsification . Research Centers Industrial Cyber-Physical Systems Center (iCyPhy) . Teaching Schedule Spring 2019 EE C249B. Embedded System Design: Modeling, Analysis, and Synthesis , TuTh 11:00AM - 12:29PM, Cory 540AB . Biography Alberto Sangiovanni Vincentelli is the Edgar L. and Harold H. Buttner Chair of Electrical Engineering and Computer Sciences at the University of California at Berkeley. In 1980-1981, he was a Visiting Scientist at the Mathematical Sciences Department of the IBM T.J. Watson Research Center. In 1987, he was Visiting Professor at MIT. He is an author of over 800 papers, 17 books and 2 patents in the area of design tools and methodologies, large scale systems, embedded systems, hybrid systems and innovation. He was a co-founder of Cadence and Synopsys, the two leading companies in the area of Electronic Design Automation and the founder and Scientific Director of the PARADES Research Center in Rome. Board Participation: Public Companies: He has been a member of the Board of Directors of Cadence and of KPIT-Cummins. Privately Held Companies: He is a member of the Board of Directors of Sonics, and of Expert Systems. Advisory Boards: He had been a member of the ST microelectronics Advisory Board for 10 years. He was a member of the HP Strategic Technology Advisory Board (2005-2007), a member of the Science and Technology Advisory Board of General Motors (2003-2013), and is a member of the Technology Advisory Council of United Technologies Corporation (2005-present). He is a member of the Advisory Board of Innogest, Xseed and a member of the Investment Committee of Atlante Ventures and Fondo Next. Since January 2013, he is the President of the Strategic Committee of the Italian Strategic Fund. He is member of the Scientific Council of the Italian National Science Foundation (CNR). Since February 2010, he has been a member of the Executive Committee of the Italian Institute of Technology. Since July 2012, he has been named Chairperson of the Comitato Nazionale Garanti per la Ricerca. Honors: Teaching: In 1981, he received the Distinguished Teaching Award of the University of California. He received the worldwide 1995 Graduate Teaching Award of the IEEE for inspirational teaching of graduate students. In 2002, he was the recipient of the Aristotle Award of the Semiconductor Research Corporation. Research: He received numerous research awards including the Guillemin-Cauer Award (1982-1983), the Darlington Award (1987-1988) of the IEEE for the best paper bridging theory and applications, and two awards for the best paper published in the IEEE Transactions on CAS and CAD, five best paper awards and one best presentation awards at the Design Automation Conference, the best paper award at the International Conference on CyberPhysical Systems, other best paper awards at the Real-Time Systems Symposium, and the VLSI Conference. Major Honors In 2001, he was given the Kaufman Award of the Electronic Design Automation Council for pioneering contributions to EDA. In 2008, he was awarded the IEEE/RSE Wolfson James Clerk Maxwell Medal for groundbreaking contributions that have had an exceptional impact on the development of electronics and electrical engineering or related fields with the following citation: For pioneering innovation and leadership in electronic design automation that have enabled the design of modern electronics systems and their industrial implementation In 2009, he received the first ACM/IEEE A. Richard Newton Technical Impact Award in Electronic Design Automation to honor persons for an outstanding technical contribution within the scope of electronic design automation. In 2012, he received the Lifetime Achievement Award from EDAA. He has been a Fellow of the IEEE since 1982, a fellow of the ACM since 2014, and a Member of the National Academy of Engineering, the highest honor bestowed upon a US engineer, since 1998. Honorary Degrees: In 2009, he was awarded an Honorary Doctorate by the combined EE and CS departments of the University of Aalborg in Denmark. In 2012, he was given an Honorary Doctorate from KTH in Sweden. . Education 1971, Dr. Ing., EECS, Politecnico di Milano, Italy . Selected Publications P. Nuzzo, C. Nani, C. Armiento, A. L. Sangiovanni-Vincentelli, J. Craninckx, and G. Van der Plas, "A 6-bit 50-MS/s Threshold Configuring SAR ADC in 90-nm Digital CMOS," in Proc. VLSI Symposium on Circuits , 2009, pp. 238-239. A. L. Sangiovanni-Vincentelli, " Quo vadis, SLD? Reasoning about the trends and challenges of system level design (Invited Paper) ," Proc. IEEE , vol. 95, no. 3, pp. 467-506, March 2007. L. Carloni, R. Passerone, A. Pinto, and A. L. Sangiovanni-Vincentelli, " Languages and tools for hybrid systems design ," Foundations and Trends in Electronic Design automations , vol. 1, no. 1/2, pp. 1-193, June 2006. A. L. Sangiovanni-Vincentelli and A. Pinto, " An overview of embedded system design education at Berkeley ," ACM Trans. Embedded Computing Systems , vol. 4, no. 3, pp. 472-499, Aug. 2005. L. Carloni, F. De Bernardinis, C. Pinello, A. L. Sangiovanni-Vincentelli, and M. Sgroi, " Platform-based design for embedded systems ," in The Embedded Systems Handbook , R. Zurawski, Ed., Boca Raton, FL: CRC Press, 2005, pp. 1-26. W. Zheng, J. Chong, C. Pinello, S. Kanajan, and A. L. Sangiovanni-Vincentelli, " Extensible and Scalable Time Triggered Scheduling ," in Proceedings of the Fifth International Conference on Application of Concurrency to System Design , 2005. A. Benveniste, B. Caillaud, L. P. Carloni, P. Caspi, and A. L. Sangiovanni-Vincentelli, " Causality and scheduling constraints in heterogeneous reactive systems modeling ," in Formal Methods for Components and Objects: Proc. 2nd Intl. Symp. (FMCO 2003) , F. S. de Boer, M. M. Bonsangue, S. Graf, and W. P. de Roever, Eds., Lecture Notes in Computer Science, Vol. 3188, Berlin: Springer-Verlag, 2004, pp. 1-16. S. P. Khatri, S. Sinha, R. K. Brayton, and A. L. Sangiovanni-Vincentelli, " SPFD-based wire removal in standard-cell and network-of-PLA circuits ," IEEE Trans. Computer-Aided Design of Integrated Circuits and Systems , vol. 23, no. 7, pp. 1020-1030, July 2004. A. L. Sangiovanni-Vincentelli, " Electronic-system design in the automobile industry ," IEEE Micro , vol. 23, no. 3, pp. 8-18, May 2003. F. Balarin, Y. Watanabe, H. Hsieh, L. Lavagno, C. Passerone, and A. L. Sangiovanni-Vincentelli, " Metropolis: An integrated electronic system design environment ," IEEE Computer , vol. 36, no. 4, pp. 45-52, April 2003. M. Baleani, F. Gennari, Y. Jiang, Y. Patel, R. K. Brayton, and A. L. Sangiovanni-Vincentelli, "HW/SW Partitioning and Code Generation of Embedded Control Applications on a Reconfigurable Architecture Platform," in Proceedings of the tenth international symposium on Hardware/software codesign , 2002. A. L. Sangiovanni-Vincentelli and G. Martin, " Platform-based design and software design methodology for embedded systems ," IEEE Design & Test of Computers , vol. 18, no. 6, pp. 23-33, Nov. 2001. L. P. Carloni, K. L. McMillan, and A. L. Sangiovanni-Vincentelli, " Theory of latency-insensitive design ," IEEE Trans. Computer-Aided Design of Integrated Circuits and Systems , vol. 20, no. 9, pp. 1059-1076, Sep. 2001. K. Keutzer, S. Malik, A. R. Newton, J. M. Rabaey, and A. L. Sangiovanni-Vincentelli, " Invited Paper: System-level design: Orthogonalization of concerns and platform-based design ," IEEE Trans. Computer-Aided Design of Integrated Circuits and Systems , vol. 19, no. 12, pp. 1523-1543, Dec. 2000. A. Balluchi, L. Benvenuti, M. D. Di Benedetto, C. Pinello, and A. L. Sangiovanni-Vincentelli, " Invited Paper: Automotive engine control and hybrid systems: Challenges and opportunities ," Proc. IEEE: Special Issue on Hybrid Systems , vol. 88, no. 7, pp. 888-912, July 2000. F. Balarin, M. Chiodo, P. Giusto, H. Hsieh, A. Jurecska, L. Lavagno, A. L. Sangiovanni-Vincentelli, E. M. Sentovich, and K. Suzuki, " Synthesis of software programs for embedded control applications ," IEEE Trans. Computer-Aided Design of Integrated Circuits and Systems , vol. 18, no. 6, pp. 834-849, June 1999. E. A. Lee and A. L. Sangiovanni-Vincentelli, " A framework for comparing models of computation ," IEEE Trans. Computer-Aided Design of Integrated Circuits and Systems , vol. 17, no. 12, pp. 1217-1229, Dec. 1998. F. Balarin, M. Chiodo, P. Giusto, H. Hsieh, A. Jurecska, L. Lavagno, C. Passerone, A. L. Sangiovanni-Vincentelli, E. Sentovich, K. Suzuki, and B. Tabbara, Hardware-Software Co-Design of Embedded Systems: The POLIS Approach , The Kluwer International Series In Engineering And Computer Science, Vol. 404, Boston, MA: Kluwer Academic Publishers, 1997. H. Chang, E. Charbon, U. Choudhury, A. Demir, E. Felt, E. Liu, E. Malavasi, A. L. Sangiovanni-Vincentelli, and I. Vassiliou, A Top-Down, Constraint-Driven Design Methodology for Analog Integrated Circuits , Boston, MA: Kluwer Academic Publishers, 1997. S. Edwards, L. Lavagno, E. A. Lee, and A. L. Sangiovanni-Vincentelli, " Design of embedded systems: Formal models, validation, and synthesis ," Proc. IEEE , vol. 85, no. 3, pp. 366-390, March 1997. . Awards, Memberships and Fellowships ACM SIGDA Pioneering Achievement Award , 2018 TCCPS Technical Achievement Award , 2017 Association for Computing Machinery (ACM) Fellow , 2014 EDAA Lifetime Achievement Award , 2012 A. Richard Newton Technical Impact Award in Electronic Design Automation , 2009 IEEE James Clerk Maxwell Medal , 2008 SRC Aristotle Award , 2002 Phil Kaufman Award , 2001 CASS Golden Jubilee Medal , 2000 National Academy of Engineering (NAE) Member , 1998 IEEE Leon K. Kirchmayer Graduate Teaching Award , 1995 SRC Inventor Recognition Award , 1991 Darlington Best Paper Award , 1988 Institute of Electrical & Electronics Engineers (IEEE) Fellow , 1983 Guillemin-Cauer Best Paper Award , 1982 UC Berkeley Distinguished Teaching Award , 1981 . diff --git a/src/data/compiled_bios/3581.txt b/src/data/compiled_bios/3581.txt new file mode 100644 index 0000000000..db114d4b6f --- /dev/null +++ b/src/data/compiled_bios/3581.txt @@ -0,0 +1 @@ +S. Shankar Sastry: Contact Information 320 McLaughlin Hall tel: 510- 642-5771 sastry@eecs.berkeley.edu : Research Areas Artificial Intelligence (AI) Control, Intelligent Systems, and Robotics (CIR) Cyber-Physical Systems and Design Automation (CPSDA) Security (SEC) Signal Processing (SP) . Research Centers FHL Vive Center for Enhanced Reality Robotics and Intelligent Machines Laboratory Partners for Advanced Transit and Highways (PATH) Berkeley Center for New Media (BCNM) Center for Information Technology Research in the Interest of Society - The Banatao Institute (CITRIS) CITRIS People and Robots (CPAR) Foundations Of Resilient CybEr-physical Systems (FORCES) Berkeley Artificial Intelligence Research Lab (BAIR) VeHICaL: Verified Human Interfaces, Control, and Learning for Semi-Autonomous Systems (VeHICaL) Berkeley Deep Drive (BDD) . . Biography He received his B.Tech. from the Indian Institute of Technology, Bombay, 1977, a M.S. in EECS, M.A. in Mathematics and Ph.D. in EECS from UC Berkeley, 1979, 1980, and 1981 respectively. S. Shankar Sastry is currently dean of the College of Engineering. He was formerly the Director of CITRIS (Center for Information Technology Research in the Interest of Society) and the Banatao Institute @ CITRIS Berkeley. He served as chair of the EECS department from January, 2001 through June 2004. In 2000, he served as Director of the Information Technology Office at DARPA. From 1996-1999, he was the Director of the Electronics Research Laboratory at Berkeley, an organized research unit on the Berkeley campus conducting research in computer sciences and all aspects of electrical engineering. He is the NEC Distinguished Professor of Electrical Engineering and Computer Sciences and holds faculty appointments in the Departments of Bioengineering, EECS and Mechanical Engineering. Prior to joining the EECS faculty in 1983 he was a professor at MIT. . Education 1981, Ph.D., Electrical Engineering and Computer Sciences, University of California, Berkeley 1980, M.A., Mathematics, University of California, Berkeley 1979, M.S., Electrical Engineering and Computer Sciences, University of California, Berkeley 1977, B.Tech, Institute of Technology, Bombay, India . Selected Publications L. J. Ratliff, S. Coogan, D. Calderone, and S. S. Sastry, " Pricing in linear-quadratic dynamic games ," in Proceedings of the 50th Annual Allerton Conference on Communication, Control, and Computing , 2012, pp. 1798-1805. A. Abate, M. Chen, Y. Wang, A. Zakhor, and S. S. Sastry, " Design and Analysis of a Flow Control Scheme over Wireless Networks ," International Journal of Robust and Nonlinear Control , March 2011. J. Wright, A. Yang, A. Ganesh, S. S. Sastry, and Y. Ma, "Robust Face Recognition via Sparse Representation," IEEE Transactions on Pattern Analysis and Machine Intelligence , vol. 31, no. 2, pp. 210 -- 227, 2009. A. Abate, S. Amin, M. Prandini, J. Lygeros, and S. S. Sastry, " Computational approaches to reachability analysis of stochastic hybrid systems ," in Hybrid Systems: Computation and Control. Proc. 10th Intl. Conf. (HSCC 2007) , A. Bemporad, A. Bicchi, and G. Buttazzo, Eds., Lecture Notes in Computer Science, Vol. 4416, Berlin, Germany: Springer-Verlag, 2007, pp. 4-17. L. Schenato, B. Sinopoli, M. Franceschetti, K. Poolla, and S. S. Sastry, " Foundations of control and estimation over lossy networks ," Proc. IEEE , vol. 95, no. 1, pp. 163-187, Jan. 2007. S. Oh, L. Schenato, P. Chen, and S. S. Sastry, " Tracking and coordination of multiple agents using sensor networks: System design, algorithms and experiments (Invited Paper) ," Proc. IEEE , vol. 95, no. 1, pp. 234-254, Jan. 2007. A. D. Ames and S. S. Sastry, " Hybrid geometric reduction of hybrid systems ," in Proc. 2006 45th IEEE Conf. on Decision and Control , Piscataway, NJ: IEEE Press, 2006, pp. 923-929. X. Deng, L. Schenato, W. C. Wu, and S. S. Sastry, " Flapping flight for biomimetic robotic insects: Part I--System modeling ," IEEE Trans. Robotics , vol. 22, no. 4, pp. 776-788, Aug. 2006. X. Deng, L. Schenato, and S. S. Sastry, " Flapping flight for biomimetic robotic insects: Part II--Flight control design ," IEEE Trans. Robotics , vol. 22, no. 4, pp. 789-803, Aug. 2006. T. Roosta, M. Meingast, and S. S. Sastry, " Distributed reputation system for tracking applications in sensor networks ," in Proc. 3rd Annual Intl. Conf. on Mobile and Ubiquitous Systems: Networking & Services (MobiQuitous 2006) , Piscataway, NJ: IEEE Press, 2006, pp. 462-469. R. Vidal, Y. Ma, and S. S. Sastry, " Generalized principal component analysis (GPCA) ," IEEE Trans. Pattern Analysis and Machine Intelligence , vol. 27, no. 12, pp. 1945-1959, Dec. 2005. J. M. Eklund, T. R. Hansen, J. Sprinkle, and S. S. Sastry, " Information technology for assisted living at home: Building a wireless infrastructure for assisted living ," in Proc. 27th Annual IEEE Engineering in Medicine and Biology Society Intl. Conf. (EMBS 2005) , Piscataway, NJ: IEEE Press, 2005, pp. 3931-3934. Y. Ma, S. Soatto, J. Kosecka, and S. S. Sastry, An Invitation to 3D Vision: From Images to Models , first ed., Interdisciplinary Applied Mathematics, Vol. 26, New York: Springer-Verlag, 2004. S. Oh, S. J. Russell, and S. S. Sastry, " Markov chain Monte Carlo data association for general multiple-target tracking problems ," in Proc. 43rd IEEE Conf. on Decision and Control (CDC 2004) , Vol. 1, Piscataway, NJ: IEEE Press, 2004, pp. 735-742. B. Sinopoli, L. Schenato, M. Franceschetti, K. Poolla, M. Jordan, and S. S. Sastry, " Kalman filtering with intermittent observations ," IEEE Trans. Automatic Control: Special Issue on Sensor Networks , vol. 49, no. 9, pp. 1453-1464, Sep. 2004. J. Zhang, J. Vala, S. S. Sastry, and K. B. Whaley, " Minimum construction of two-qubit quantum operations ," Physical Review Letters , vol. 93, no. 2, pp. 020502/1-4, July 2004. Y. Ma, S. Soatto, J. Kosecka, and S. S. Sastry, An Invitation to 3-D Vision: From Images to Geometric Models , Interdisciplinary Applied Mathematics: Imaging, Vision, and Graphics, Vol. 26, New York, NY: Springer, 2004. T. G. Goktekin, M. C. Cavusoglu, F. Tendick, and S. S. Sastry, " GiPSi: An open source/open architecture software development framework for surgical simulation ," in Medical Simulation: Proc. Intl. Symp. (ISMS 2004) , S. Cotin and D. Metaxas, Eds., Lecture Notes in Computer Science, Vol. 3078, Berlin, Germany: Springer-Verlag, 2004, pp. 240-248. R. Bajcsy, A. D. Joseph, V. Paxson, D. Tygar, S. S. Sastry, and other DETER/EMIST Members, " Cyber defense technology networking and evaluation ," Communications of the ACM Special Issue: Emerging Technologies for Homeland Security , vol. 47, no. 3, pp. 58-61, March 2004. A. D. Ames and S. S. Sastry, " Affine hybrid systems ," in Hybrid Systems: Computation and Control. Proc. 7th Intl. Workshop (HSCC 2004) , R. Alur and G. J. Pappas, Eds., Lecture Notes in Computer Science, Vol. 2993, Berlin, Germany: Springer-Verlag, 2004, pp. 16-31. . Awards, Memberships and Fellowships Berkeley Citation , 2018 International Federation for Automatic Control (IFAC) Fellow , 2017 Chang Lin Tien Leadership in Education Award , 2010 John R. Ragazzini Education Award , 2005 American Academy of Arts and Sciences Member , 2003 National Academy of Engineering (NAE) Member , 2001 Institute of Electrical & Electronics Engineers (IEEE) Fellow , 1995 Donald P. Eckman Award , 1990 NSF Presidential Young Investigator (PYI) , 1985 . diff --git a/src/data/compiled_bios/3582.txt b/src/data/compiled_bios/3582.txt new file mode 100644 index 0000000000..a12657007f --- /dev/null +++ b/src/data/compiled_bios/3582.txt @@ -0,0 +1 @@ +Steven E. Schwarz: Contact Information 253 Cory Hall tel: 510-642-3214 schwarz@eecs.berkeley.edu : Research Areas Solid-State Devices; Nano-Optoelectronics, Electromagnetics/Plasmas . . . . . Selected Publications M. D. Prouty and S. E. Schwarz, " Hybrid couplers in bilevel microstrip ," IEEE Transactions on Microwave Theory and Techniques , vol. 41, no. 11, pp. 1939-1944, Nov. 1993. S. E. Schwarz and W. G. Oldham, Electrical Engineering: An Introduction , 1st ed., HRW Series in Electrical and Computer Engineering, New York, NY: Holt, Rinehart, and Winston, 1984. D. F. Williams and S. E. Schwarz, " Design and performance of coplanar waveguide bandpass filters ," IEEE Trans. Microwave Theory and Techniques , vol. 31, no. 7, pp. 558-566, July 1983. B. Twu and S. E. Schwarz, " Properties of infrared cat-whisker antennas near 10.6 mu ," Applied Physics Letters , vol. 26, no. 12, pp. 672-675, June 1975. O. R. Wood and S. E. Schwarz, " Passive Q-switching of a CO2 laser ," Applied Physics Letters , vol. 11, no. 3, pp. 88-89, Aug. 1967. G. Eckhardt, R. W. Hellwarth, F. J. McClung, S. E. Schwarz, D. Weiner, and E. J. Woodbury, " Stimulated Raman scattering from organic liquids ," Physical Review Letters , vol. 9, no. 11, pp. 455-457, Dec. 1962. . Awards, Memberships and Fellowships Berkeley Citation , 2000 . diff --git a/src/data/compiled_bios/3583.txt b/src/data/compiled_bios/3583.txt new file mode 100644 index 0000000000..7f05b37355 --- /dev/null +++ b/src/data/compiled_bios/3583.txt @@ -0,0 +1 @@ +Sanjit A. Seshia: Contact Information 566 Cory Hall tel: 510-643-6968 sseshia@eecs.berkeley.edu : Research Areas Cyber-Physical Systems and Design Automation (CPSDA) Programming Systems (PS) Control, Intelligent Systems, and Robotics (CIR) Design, Modeling and Analysis (DMA) Security (SEC) Theory (THY) Dependable Computing; Computational Logic; Formal Methods . Research Centers VeHICaL: Verified Human Interfaces, Control, and Learning for Semi-Autonomous Systems (VeHICaL) Industrial Cyber-Physical Systems Center (iCyPhy) . Teaching Schedule Spring 2019 EECS 219C. Formal Methods: Specification, Verification, and Synthesis , MoWe 1:00PM - 2:29PM, Cory 293 . Biography Sanjit A. Seshia is a Professor in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley. He received an M.S. and Ph.D. in Computer Science from Carnegie Mellon University, and a B.Tech. in Computer Science and Engineering from the Indian Institute of Technology, Bombay. His research interests are in dependable computing and computational logic, with a current focus on applying automated formal methods to problems in cyber-physical systems, computer security, electronic design automation, and synthetic biology. His Ph.D. thesis work on the UCLID verifier and decision procedure helped pioneer the area of satisfiability modulo theories (SMT) and SMT-based verification. He is co-author of a widely-used textbook on embedded systems and has led the development of technologies for cyber-physical systems education based on formal methods. His awards and honors include a Presidential Early Career Award for Scientists and Engineers (PECASE) from the White House, an Alfred P. Sloan Research Fellowship, the Frederick Emmons Terman Award for contributions to electrical engineering and computer science education, and the School of Computer Science Distinguished Dissertation Award at Carnegie Mellon University. . . Selected Publications C. Sturton, R. Sinha, T. Dang, S. Jain, M. McCoyd, W. Y. Tan, P. Maniatis, S. A. Seshia, and D. Wagner, "Symbolic Software Model Validation," in Proceedings of the 10th ACM/IEEE International Conference on Formal Methods and Models for Codesign (MEMOCODE) , M. Roncken and J. Talpin, Eds., 2013. O. Kupferman, W. Li, and S. A. Seshia, " A theory of mutations with applications to vacuity, coverage, and fault tolerance ," in Proc. 2008 Formal Methods in Computer Aided Design Conf. (FMCAD '08) , A. Cimatti and R. Jones, Eds., Los Alamitos, CA: IEEE Computer Society, 2008, pp. 9 pg. S. A. Seshia, " Autonomic reactive systems via online learning ," in Proc. 4th Intl. Conf. on Autonomic Computing (ICAC 2007) , Piscataway, NJ: IEEE Press, 2007, pp. 162-171. A. Solar Lezama, G. Arnold, L. Tancau, R. Bodik, V. Saraswat, and S. A. Seshia, " Sketching stencils ," in Proc. 2007 ACM SIGPLAN Conf. on Programming Language Design and Implementation (PLDI '07) , New York, NY: The Association for Computing Machinery, Inc., 2007, pp. 167-178. S. A. Seshia, W. Li, and S. Mitra, " Verification-guided soft error resilience ," in Proc.10th Design, Automation and Test in Europe Conference and Exhibition (DATE '07) , San Jose, CA: EDA Consortium, 2007, pp. 1442-1447. S. A. Seshia and R. E. Bryant, " Deciding quantifier-free Presburger formulas using parameterized solution bounds ," Logical Methods in Computer Science , vol. 1, no. 2, pp. 1-26, Dec. 2005. V. Ganapathy, S. A. Seshia, S. Jha, T. W. Reps, and R. E. Bryant, " Automatic discovery of API-level exploits ," in Proc. 27th Intl. Conf. on Software Engineering (ICSE '05) , New York, NY: ACM Press, 2005, pp. 312-321. S. A. Seshia, R. E. Bryant, and K. S. Stevens, " Modeling and verifying circuits using generalized relative timing ," in Proc. 11th IEEE Intl. Symp. on Asynchronous Circuits and Systems (ASYNC 2005) , Los Alamitos, CA: IEEE Computer Society, 2005, pp. 98-108. S. A. Seshia, S. K. Lahiri, and R. E. Bryant, " A hybrid SAT-based decision procedure for separation logic with uninterpreted functions ," in Proc. 40th IEEE/ACM Design Automation Conf. (DAC 2003) , New York, NY: The Association for Computing Machinery, Inc., 2003, pp. 425-430. R. E. Bryant, S. K. Lahiri, and S. A. Seshia, " Modeling and verifying systems using a logic of counter arithmetic with lambda expressions and uninterpreted functions ," in Computer Aided Verification: Proc. 14th Intl. Conf. (CAV 2002) , E. Brinksma and K. Guldstrand Larsen, Eds., Lecture Notes in Computer Science, Vol. 2404, Berlin, Germany: Springer-Verlag, 2002, pp. 79-82. . Awards, Memberships and Fellowships Institute of Electrical & Electronics Engineers (IEEE) Fellow , 2018 IEEE TCAD ICS Donald O. Pederson Best Paper Award , 2017 Frederick Emmons Terman Award of the Electrical and Computer Engineering Division , 2016 Hellman Fellow , 2008 Sloan Research Fellow , 2008 NSF Presidential Early Career Award for Scientists & Engineers (PECASE) , 2007 . diff --git a/src/data/compiled_bios/3584.txt b/src/data/compiled_bios/3584.txt new file mode 100644 index 0000000000..3783a692ae --- /dev/null +++ b/src/data/compiled_bios/3584.txt @@ -0,0 +1 @@ +Osama Shana'a: Contact Information osama.shanaa@berkeley.edu : Research Areas Integrated Circuits (INC) , RF & mmWave circuits for cellular, connectivity and medical applications . . Teaching Schedule Spring 2019 EE 290C-2. RFIC Architectures & Circuits for Modern Wireless Communication Systems , TuTh 8:00AM - 9:29AM, Cory 293 . . . . . diff --git a/src/data/compiled_bios/3585.txt b/src/data/compiled_bios/3585.txt new file mode 100644 index 0000000000..cfa28e3823 --- /dev/null +++ b/src/data/compiled_bios/3585.txt @@ -0,0 +1 @@ +Jerome R. Singer: Contact Information 467 Cory Hall tel: 510-642-3214 jsinger@eecs.berkeley.edu : . . . . . Selected Publications J. R. Singer, F. A. Grunbaum, P. Kohn, and J. P. Zubelli, "Image reconstruction of the interior of bodies that diffuse radiation," Science , vol. 248, no. 4958, pp. 990-993, May 1990. J. R. Singer and L. E. Crooks, "Nuclear magnetic resonance blood flow measurements in the human brain," Science , vol. 221, no. 4611, pp. 654-656, Aug. 1983. J. R. Singer, Ed., "In vivo NMR blood flow imaging," in Proc. Congress on Nuclear Medicine and Biology , 1982. J. R. Singer and L. Crooks, "Some magnetic studies of normal and leukemic blood," J. Clinical Engineering , vol. 34, pp. 237-243, July 1978. J. R. Singer and J. Libove, "Blood flow imaging with nuclear magnetic resonance," Trans. American Nuclear Society , vol. 27, pp. 165-166, Nov. 1977. J. R. Singer and D. J. Rondeau, "Outpatient monitoring with portable microprocessor recording system," in 1975 WESCON Proc. , Vol. 19, 1975, pp. 205-210. J. R. Singer, R. Battagin, L. Crooks, and S. Rasmussen, "NMR relaxation times of blood," Bulletin of the American Physical Society , vol. 18, pp. 1571, Dec. 1973. J. Kumar, V. Kumar, and J. R. Singer, "Nuclear magnetic relaxation time of blood and blood velocity," Science , vol. 175, pp. 794-795, Feb. 1972. O. C. Morse and J. R. Singer, " Blood velocity measurements in intact subjects ," Science , vol. 170, no. 3956, pp. 440-441, Oct. 1970. J. R. Singer, "Lasers using molecular beams," Bulletin of the American Physical Society , Jan. 1962. J. R. Singer, "Quantum electronics," Physics Today , vol. 15, pp. 52-56, Jan. 1962. J. R. Singer and S. Wang, "The emission, pulse-level inversion, and modulation of optical masers," in Advances in Quantum Electronics , J. R. Singer, Ed., New York, NY: Columbia University Press, 1961, pp. 299-307. J. R. Singer and S. Wang, "The emission, pulse-level inversion, and modulation of optical masers," in Advances in Quantum Electronics , J. R. Singer, Ed., New York, NY: Columbia University Press, 1961, pp. 299-307. J. R. Singer, " Electronic analog of the human recognition system ," J. Optical Society of America , vol. 51, no. 1, pp. 61-69, Jan. 1961. J. R. Singer, Ed., Electronic system for size and tilt invariant symbol recognition , 1960. J. R. Singer, " Blood flow measurements using dynamical paramagnetic relaxation times and paramagnetic tracer techniques ," Journal of Applied Physics , vol. 31, no. 5, pp. S406-S407, May 1960. J. R. Singer, " Blood flow rates by nuclear magnetic resonance measurements ," Science , vol. 130, no. 3389, pp. 1652-1653, Dec. 1959. J. R. Singer, "Information theory and the human visual system," J. Optical Society of America , vol. 49, no. 6, pp. 639-640, June 1959. J. R. Singer, C. Susskind, and J. R. Whinnery, "Basic Research in Microwave Electronics," Institute of Engineering Research, University of California, Berkeley, Tech. Rep. 60-215, Oct. 1958. . . diff --git a/src/data/compiled_bios/3586.txt b/src/data/compiled_bios/3586.txt new file mode 100644 index 0000000000..c6bb6078d7 --- /dev/null +++ b/src/data/compiled_bios/3586.txt @@ -0,0 +1 @@ +Somayeh Sojoudi: Contact Information 5114 Etcheverry Hall sojoudi@berkeley.edu : Research Areas Control, Intelligent Systems, and Robotics (CIR) Energy (ENE) Signal Processing (SP) Convex Optimization; Polynomial Optimization; Sparse Optimization: Applications in Machine Learning, Control and Signal Processing. . Research Centers Tsinghua-UC Berkeley Shenzhen Institute (TBSI) . Teaching Schedule Spring 2019 EE C128. Feedback Control Systems , TuTh 12:30PM - 1:59PM, Moffitt Library 101 . Biography Somayeh Sojoudi is an Assistant Professor in residence of the Departments of Electrical Engineering & Computer Sciences and Mechanical Engineering at the University of California, Berkeley. She is also on the faculty of the Tsinghua-Berkeley Shenzhen Institute (TBSI). She received her PhD degree in Control & Dynamical Systems from California Institute of Technology in 2013. She has worked on several interdisciplinary problems in optimization theory, control theory, machine learning, data analytics, and power systems. Somayeh Sojoudi is an Associate Editor of the journals of IEEE Transactions on Smart Grid, IEEE Access, and Systems & Control Letters. She is also a member of the conference editorial board of the IEEE Control Systems Society. She is a recipient of the 2015 INFORMS Optimization Society Prize for Young Researchers and a recipient of the 2016 INFORMS ENRE Energy Best Publication Award. She was a finalist (as advisor) for the Best Student Paper Award at the 2018 American Control Conference and a finalist (as a co-author) for the best student paper award at the 53rd IEEE Conference on Decision and Control 2014. . Education 2013, PhD, Control & Dynamical Systems, California Institute of Technology . Selected Publications S. Sojoudi, S. Fattahi, and J. Lavaei, "Convexification of generalized network flow problem," Mathematical Programming , 2018. R. Madani, S. Sojoudi, G. Fazelnia, and J. Lavaei, "Finding low-rank solutions of sparse linear matrix inequalities using convex optimization," SIAM Journal on Optimization , vol. 27, no. 2, pp. 725--758, 2017. S. Sojoudi, "Equivalence of graphical lasso and thresholding for sparse graphs," Journal of Machine Learning Research , vol. 17, no. 115, pp. 1--21, 2016. S. Sojoudi, "Graphical lasso and thresholding: Conditions for equivalence," in Decision and Control (CDC), 2016 IEEE 55th Conference on , 2016, pp. 7042--7048. R. Madani, S. Sojoudi, and J. Lavaei, "Convex relaxation for optimal power flow problem: Mesh networks," IEEE Transactions on Power Systems , vol. 30, no. 1, pp. 199--211, 2015. S. Sojoudi and J. Lavaei, "Exactness of semidefinite relaxations for nonlinear optimization problems with underlying graph structure," SIAM Journal on Optimization , vol. 24, no. 4, pp. 1746--1778, 2014. . Awards, Memberships and Fellowships INFORMS Data Mining (DM) Best Paper Award , 2018 INFORMS Energy, Natural Resources, and the Environment (ENRE) Best Publication Award in Energy , 2016 INFORMS Optimization Society Young Researchers Prize , 2015 . diff --git a/src/data/compiled_bios/3587.txt b/src/data/compiled_bios/3587.txt new file mode 100644 index 0000000000..154a6f4208 --- /dev/null +++ b/src/data/compiled_bios/3587.txt @@ -0,0 +1 @@ +Costas J. Spanos: Contact Information 510 Cory Hall tel: 510-643-6776 fax: 642-2739 spanos@eecs.berkeley.edu : Research Areas Energy (ENE) Integrated Circuits (INC) Physical Electronics (PHY) Solid-State Devices Semiconductor manufacturing . Research Centers Integrated Modeling Process and Computation for Technology (IMPACT) CITRIS People and Robots (CPAR) Tsinghua-UC Berkeley Shenzhen Institute (TBSI) . . Biography COSTAS J. SPANOS received the Electrical Engineering Diploma from the National Technical University of Athens, Greece in 1980 and the M.S. and Ph.D. degrees in Electrical and Computer Engineering from Carnegie Mellon University in 1981 and 1985, respectively. From 1985 to 1988 he was with the advanced Computer-Aided Design group of Digital Equipment Corporation, where he worked on the statistical characterization, simulation and diagnosis of VLSI processes. In 1988 he joined the faculty in the Department of Electrical Engineering and Computer Sciences at the University of California at Berkeley. He was the Director of the Berkeley Microfabrication Laboratory from 1994 to 2000, the Director of the Electronics Research Laboratory from 2004 to 2005, and the Associate Dean for Research in the College of Engineering from 2004 to 2008. From 2008 to 2010 he served as Associate Chair for the EECS Department, and from 2010 through June 2012, he was the Chair of the Department. Professor Spanos has served in the technical committees of numerous conferences and was the editor of the IEEE Transactions on Semiconductor Manufacturing from 1991 to 1994. He has published more than 200 refereed articles, has received several best paper awards and has co-authored a textbook on semiconductor manufacturing. His present research interests include the application of statistical analysis in the design and fabrication of integrated circuits, and the development and deployment of novel sensors and computer-aided techniques in semiconductor manufacturing. In 2000, he was elected Fellow of the Institute of Electrical and Electronic Engineers for contributions and leadership in semiconductor manufacturing. . . Selected Publications G. S. May and C. J. Spanos, Fundamentals of Semiconductor Manufacturing and Process Control , Wiley-Interscience, Hoboken, NJ: John Wiley & Sons, Inc./IEEE Press, 2006. K. Poolla and C. J. Spanos, " Methods of and apparatus for controlling process profiles ," U.S. Patent 7,016,754. March 2006. Q. Zhang, P. Friedberg, K. Poolla, and C. J. Spanos, " Enhanced spatial PEB uniformity through a novel bake plate design ," in Proc. AEC/APC XVII Symp. 2005 , Austin, TX: AEC/APC Official Proceedings CD-ROM, 2005, pp. 1-5. M. Freed, M. V. P. Kruger, C. J. Spanos, and K. Poolla, " Wafer-grown heat flux sensor arrays for plasma etch processes ," IEEE Trans. Semiconductor Manufacturing , vol. 18, no. 1, pp. 148-162, Feb. 2005. M. L. Freed, R. S. Mundt, and C. J. Spanos, " Methods and apparatus for obtaining data for process operation, optimization, monitoring, and control ," U.S. Patent 6,691,068. Feb. 2004. M. Freed, M. Kruger, C. J. Spanos, and K. Poolla, " Autonomous on-wafer sensors for process modeling, diagnosis, and control ," IEEE Trans. Semiconductor Manufacturing , vol. 14, no. 3, pp. 255-264, Aug. 2001. X. Niu, N. Jakatdar, J. Bao, and C. J. Spanos, " Specular spectroscopic scatterometry ," IEEE Trans. Semiconductor Manufacturing , vol. 14, no. 2, pp. 97-111, May 2001. . Awards, Memberships and Fellowships Building and Environment Best Paper Award , 2018 Distinguished Berkeley Faculty Mentor Award (FMA) , 2016 Institute of Electrical & Electronics Engineers (IEEE) Fellow , 2000 IEEE Electron Devices Society (EDS) Fellows , 2000 . diff --git a/src/data/compiled_bios/3588.txt b/src/data/compiled_bios/3588.txt new file mode 100644 index 0000000000..e9f4416a77 --- /dev/null +++ b/src/data/compiled_bios/3588.txt @@ -0,0 +1 @@ +Vladimir Stojanovic: Contact Information 513 Cory Hall tel: (510) 664-4322 vlada@berkeley.edu : Research Areas Integrated Circuits (INC) Micro/Nano Electro Mechanical Systems (MEMS) Computer Architecture & Engineering (ARC) Physical Electronics (PHY) Communications & Networking (COMNET) Integrated Photonics, Circuit design with Emerging-Technologies . Research Centers Berkeley Wireless Research Center (BWRC) Center for Energy Efficient Electronics Science (E3S) Berkeley Emerging Technologies Research (BETR) Berkeley Deep Drive (BDD) . Teaching Schedule Spring 2019 EE 16A. Designing Information Devices and Systems I , TuTh 3:30PM - 4:59PM, Wheeler 150 . Biography Vladimir Stojanovic is an Associate Professor of Electrical Engineering and Computer Science at University of California, Berkeley. His research interests include design, modeling and optimization of integrated systems, from CMOS-based VLSI blocks and interfaces to system design with emerging devices like NEM relays and silicon-photonics. He is also interested in design and implementation of energy-efficient electrical and optical networks, and digital communication techniques in high-speed interfaces and high-speed mixed-signal IC design. Vladimir received his Ph.D. in Electrical Engineering from Stanford University in 2005, and the Dipl. Ing. degree from the University of Belgrade, Serbia in 1998. He was also with Rambus, Inc., Los Altos, CA, from 2001 through 2004 and with MIT as Associate Professor from 2005-2013. He received the 2006 IBM Faculty Partnership Award, and the 2009 NSF CAREER Award as well as the 2008 ICCAD William J. McCalla, 2008 IEEE Transactions on Advanced Packaging, and 2010 ISSCC Jack Raper best paper awards. He was an IEEE Solid-State Circuits Society Distinguished Lecturer for the 2012-2013 term. . Education 2005, PhD, Electrical Engineering, Stanford University 2000, MS, Electrical Engineering, Stanford University 1998, Dipl. Ing., Electrical Engineering, University of Belgrade . . Awards, Memberships and Fellowships Jack Raper Award for Outstanding Technology Directions Paper at ISSCC , 2010 NSF Faculty Early Career Development Award (CAREER) , 2009 William J. McCalla ICCAD Best Paper Award , 2008 Transactions on Advanced Packaging Best Paper Award , 2008 IBM Faculty Award , 2006 . diff --git a/src/data/compiled_bios/3589.txt b/src/data/compiled_bios/3589.txt new file mode 100644 index 0000000000..17b7176058 --- /dev/null +++ b/src/data/compiled_bios/3589.txt @@ -0,0 +1 @@ +Vivek Subramanian: Contact Information 513 Sutardja Dai Hall tel: 510-643-4535 fax: 510-642-2739 viveks@eecs.berkeley.edu : Research Areas Physical Electronics (PHY) Energy (ENE) Integrated Circuits (INC) . . . Biography He received his B.S. in Electrical Engineering from Louisiana State University, 1994, and his M.S. and PhD in Electrical Engineering from Stanford University in 1996 and 1998 respectively. Dr. Subramanian co-founded Matrix Semiconductor, Inc. in 1998. He joined the EECS faculty in 2000 and is currently a Professor. He has authored or co-authored more than 200 research publications and patents. Dr. Subramanian is a member of the Institute of Electrical and Electronic Engineers (IEEE) and has served on the technical committee for the Device Research Conference and the technical and executive committees for the International Electron Device Meeting. In 2002, he was nominated to Technology Review's list of top 100 young innovators (the TR100). In 2003, he was nominated to the National Academy of Engineering's "Frontiers of Engineering", and was awarded a National Science Foundation Young Investigator Award (CAREER). He received the EE Department Outstanding Teaching Award in 2006. . Education 1998, PhD, Electrical Engineering, Stanford University 1996, MS, Electrical Engineering, Stanford University 1994, BS, Electrical Engineering, Louisiana State University, Baton Rouge . Selected Publications W. J. Scheideler, J. Jang, M. A. U. Karim, R. Kitsomboonloha, A. Zeumault, and V. Subramanian, " Gravure-Printed SolGels on Flexible Glass: A Scalable Route to Additively Patterned Transparent Conductors ," ACS Applied Materials & Interfaces , vol. 7, no. 23, pp. 12679-12687, 2015. W. J. Scheideler, A. Zeumault, and V. Subramanian, "Engineering high-k LaxZr1-xOy dielectrics for high-performance fully-solution-processed transparent transistors," in Device Research Conference (DRC), 2015 73rd Annual , 2015, pp. 205-206. Y. Chen, E. S. Park, I. Chen, L. Hutin, V. Subramanian, and T. King Liu, " Micro-relay reliability improvement by inkjet-printed microshell encapsulation ," in Transducers & Eurosensors XXVII: The 17th International Conference on Solid-State Sensors, Actuators and Microsystems (TRANSDUCERS & EUROSENSORS XXVII) , 2013, pp. 1974 - 1977. J. Jang, R. Kitsomboonloha, S. Swisher, E. S. Park, H. Kang, and V. Subramanian, "Transparent High-Performance Thin Film Transistors from Solution-Processed SnO2/ZrO2 Gel-like Precursors," Advanced Materials , vol. 25, no. 7, pp. 1042, Feb. 2013. J. Jang, F. Pan, K. Braam, and V. Subramanian, "Resistance Switching Characteristics of Solid Electrolyte Chalcogenide Ag2Se Nanoparticles for Flexible Nonvolatile Memory Applications," Advanced Materials , July 2012. H. Kang, R. Kitsomboonloha, J. Jang, and V. Subramanian, "High-Performance Printed Transistors Realized Using Femtoliter Gravure-Printed Sub-10 m Metallic Nanoparticle Patterns and Highly Uniform Polymer Dielectric and Semiconductor Layers," Advanced Materials , June 2012. D. Redinger and V. Subramanian, " High-Performance Chemical-Bath-Deposited Zinc Oxide Thin-Film Transistors ," IEEE Transactions on Electron Devices , vol. 54, no. 6, pp. 1301-7, June 2007. Q. Zhang and V. Subramanian, " DNA hybridization detection with organic thin film transistors: Toward fast and disposable DNA microarray chips ," Biosensors and Bioelectronics , vol. 2007, no. 12, pp. 3182-87, June 2007. B. A. Mattis and V. Subramanian, " Stacked low-power field-programmable antifuse memories for RFID on plastic ," in 2006 Intl. Electron Devices Meeting (IEDM '06) Technical Digest , Piscataway, NJ: IEEE Press, 2006, pp. 4 pg. J. Chang, V. Liu, V. Subramanian, K. Sivula, C. Luscombe, A. Murphy, J. Liu, and J. Frechet, " Printable polythiophene gas sensor array for low-cost electronic noses ," Journal of Applied Physics , vol. 100, no. 1, pp. 014506-511, July 2006. J. Chang and V. Subramanian, " Effect of active layer thickness on bias stress effect in pentacene thin-film transistors ," Applied Physics Letters , vol. 88, no. 23, pp. 233513-5, June 2006. P. Chang, S. Molesa, A. Murphy, J. Frechet, and V. Subramanian, " Inkjetted Crystalline Single-Monolayer Oligothiophene OTFTs ," IEEE Transactions on Electron Devices , vol. 53, no. 4, pp. 594-600, April 2006. V. Subramanian, P. Chang, J. Lee, S. Molesa, and S. Volkman, " Printed organic transistors for ultra-low-cost RFID applications ," IEEE Transactions on Components and Packaging Technologies , vol. 28, no. 4, pp. 742-747, Dec. 2005. A. Murphy, P. Chang, P. VanDyke, J. Liu, J. Frechet, V. Subramanian, D. DeLongChamp, S. Sambasivan, D. Fischer, and E. Lin, " Self-Assembly, Molecular Ordering, and Charge Mobility in Solution-Processed Ultrathin Oligothiophene Films ," Chemistry of Materials , vol. 17, no. 24, pp. 6033-6041, Dec. 2005. D. DeLongChamp, S. Sambasivan, D. Fischer, E. Lin, P. Chang, A. Murphy, J. Frechet, and V. Subramanian, " Direct correlation of organic semiconductor film structure to field-effect mobility ," Advanced Materials , vol. 17, no. 19, pp. 2340-44, Sep. 2005. J. Lee, P. Chang, J. A. Liddle, and V. Subramanian, " 10-nm channel length pentacene transistors ," IEEE Transactions on Electron Devices , vol. 52, no. 8, pp. 1874-1879, Aug. 2005. V. Subramanian, J. Frechet, P. Chang, D. C. Huang, J. Lee, S. Molesa, A. Murphy, D. Redinger, and S. Volkman, " Progress towards development of all-printed RFID tags: Materials, Processes, and Devices ," Proceedings of the IEEE , vol. 93, no. 7, pp. 1330-38, July 2005. F. J. Liao, C. Chen, and V. Subramanian, " Organic TFTs as gas sensors for electronic nose applications ," Sensors and Actuators B (Chemical) , vol. 107, no. 2, pp. 849-55, June 2005. J. Lee and V. Subramanian, " Weave Patterned Organic Transistors on Fiber for E-Textiles ," IEEE Transactions on Electron Devices , vol. 52, no. 2, pp. 269-275, Feb. 2005. S. Volkman, S. Molesa, J. Lee, B. Mattis, A. De la Fuente Vornbrock, T. T. Bakhishev, and V. Subramanian, " A novel transparent air-stable printable n-type semiconductor technology using ZnO nanoparticles ," in 2004 International Electron Device Meeting Technical Digest , 2004, pp. 769-773. . Awards, Memberships and Fellowships IEEE Kiyo Tomiyasu Award , 2015 Electrical Engineering Award for Outstanding Teaching , 2005 MIT Tech Review Top 100 Innovators Under 35 (TR100) , 2002 EDS Paul Rappaport Award , 2002 . diff --git a/src/data/compiled_bios/359.txt b/src/data/compiled_bios/359.txt new file mode 100644 index 0000000000..4b23615780 --- /dev/null +++ b/src/data/compiled_bios/359.txt @@ -0,0 +1 @@ +Name: Karrah, Shyam:: Position: Senior Lecturer,Director of Graduate Studies:: Degrees: M.S., Jackson State University; diff --git a/src/data/compiled_bios/3590.txt b/src/data/compiled_bios/3590.txt new file mode 100644 index 0000000000..cb662f2694 --- /dev/null +++ b/src/data/compiled_bios/3590.txt @@ -0,0 +1 @@ +Aram J. Thomasian: Contact Information 367 Evans Hall tel: 510-642-2781 aram@stat.berkeley.edu : . . . Biography Aram Thomasian is Professor Emeritus of Statistics and Electrical Engineering. He has been involved in the statistical analysis and modeling of the random potential surfaces obtained from multiple electrode EEG recording from the human scalp. He is the author of "The Structure of Probability Theory with Applications." . . . . diff --git a/src/data/compiled_bios/3591.txt b/src/data/compiled_bios/3591.txt new file mode 100644 index 0000000000..412850af6e --- /dev/null +++ b/src/data/compiled_bios/3591.txt @@ -0,0 +1 @@ +Claire Tomlin: Contact Information 721 Sutardja Dai Hall tel: 510-643-6610 tomlin@eecs.berkeley.edu : Research Areas Control, Intelligent Systems, and Robotics (CIR) Biosystems & Computational Biology (BIO) Control theory; hybrid and embedded systems; biological cell networks . Research Centers Berkeley Center for New Media (BCNM) SWARM Lab Foundations Of Resilient CybEr-physical Systems (FORCES) Berkeley Artificial Intelligence Research Lab (BAIR) VeHICaL: Verified Human Interfaces, Control, and Learning for Semi-Autonomous Systems (VeHICaL) Center for Neural Engineering & Prostheses (CNEP) . . Biography She received her B.A.Sc. in Electrical Engineering from the University of Waterloo, 1992, a M.Sc. in Electrical Engineering, Imperial College, London, 1993, and a Ph.D. in EECS, U.C. Berkeley, 1998. Holder of the Charles A. Desoer Chair in Engineering. . . Selected Publications D. Zhou, Q. Hu, and C. Tomlin, "Quantitative comparison of data-driven and physics-based models for commercial building HVAC systems," in 2017 American Control Conference , 2017. G. Fiore, Y. H. Chang, Q. Hu, D. Di Benedetto, and C. Tomlin, "Secure state estimation for cyber physical systems with sparse malicious packet drops," in 2017 American Control Conference , 2017. Q. Hu, D. Fooladivanda, Y. H. Chang, and C. Tomlin, "Secure state estimation for nonlinear power systems under cyber attacks," in 2017 American Control Conference , 2017. Q. Hu, Y. H. Chang, and C. Tomlin, "Secure estimation for unmanned aerial vehicles against adversarial cyber attacks," in 30th congress of the international council of the aeronautical sciences , 2016. R. L. Raffard and C. Tomlin, " Tractable algorithm for open loop stochastic control ," in Proc. 45th IEEE Conf. on Decision and Control (CDC 2006) , Piscataway, NJ: IEEE Press, 2006, pp. 3222-3227. R. Raffard, K. Amonlirdviman, J. D. Axelrod, and C. Tomlin, " Automatic parameter identification via the adjoint method, with application to understanding planar cell polarity ," in Proc. 45th IEEE Conf. on Decision and Control (CDC 2006) , Piscataway, NJ: IEEE Press, 2006, pp. 13-18. I. Hwang, H. Balakrishnan, and C. Tomlin, " State estimation for hybrid systems: Applications to aircraft tracking ," IEE Proc. Control Theory and Applications , vol. 153, no. 5, pp. 556-566, Sep. 2006. A. M. Bayen, R. L. Raffard, and C. Tomlin, " Adjoint-based control of a new Eulerian network model for air traffic flow ," IEEE Trans. Control Systems Technology , vol. 14, no. 5, pp. 804-818, Sep. 2006. K. Roy, B. Levy, and C. Tomlin, " Target tracking and estimated time of arrival (ETA) prediction for arrival aircraft ," in Proc. AIAA Guidance, Navigation, and Control Conf. and Exhibit , Herndon, VA: American Institute of Aeronautics and Astronautics, Inc., 2006, pp. 1-22. S. L. Waslander, R. L. Raffard, and C. Tomlin, " Toward efficient and equitable distributed air traffic flow control ," in Proc. 2006 American Control Conf. (ACC '06) , Piscataway, NJ: IEEE Press, 2006, pp. 5189-5194. A. M. Bayen, P. Grieder, G. Meyer, and C. Tomlin, " Lagrangian delay predictive model for sector-based air traffic flow ," AIAA J. Guidance, Control, and Dynamics , vol. 28, no. 5, pp. 1015-1026, Sep. 2005. I. M. Mitchell, A. M. Bayen, and C. Tomlin, " A time-dependent Hamilton-Jacobi formulation of reachable sets for continuous dynamic games ," IEEE Trans. Automatic Control , vol. 50, no. 7, pp. 947-957, July 2005. C. Tomlin and J. D. Axelrod, " Understanding biology by reverse engineering the control ," Proc. National Academy of Sciences of the United States of America , vol. 102, no. 12, pp. 4219-4220, March 2005. I. Hwang, K. Roy, H. Balakrishnan, and C. Tomlin, " A distributed multiple-target identity management algorithm in sensor networks ," in Proc. 2004 43rd IEEE Conf. on Decision and Control , Vol. 1, Piscataway, NJ: IEEE Press, 2004, pp. 728-734. D. M. Stipanovic, G. Inalhan, R. Teo, and C. Tomlin, " Decentralized overlapping control of a formation of unmanned aerial vehicles ," Automatica , vol. 40, no. 8, pp. 1285-1296, Aug. 2004. I. Hwang, H. Balakrishnan, K. Roy, and C. Tomlin, " Multiple-target tracking and identity management in clutter, with application to aircraft tracking ," in Proc. 2004 American Control Conf. (ACC '04) , Vol. 4, Evanston, IL: American Automatic Control Council, 2004, pp. 3422-3428. R. Ghosh and C. Tomlin, " Symbolic reachable set computation of piecewise affine hybrid automata and its application to biological modelling: Delta-Notch protein signaling ," IEE Systems Biology , vol. 1, no. 1, pp. 170-183, June 2004. C. Tomlin, I. Mitchell, A. M. Bayen, and M. Oishi, " Computational techniques for the verification of hybrid systems ," Proc. IEEE , vol. 91, no. 7, pp. 986-1001, July 2003. R. Ghosh and C. Tomlin, " Lateral inhibition through Delta-Notch signaling: A piecewise affine hybrid model ," in Hybrid Systems: Computation and Control. Proc. 4th Intl. Workshop (HSCC 2001) , M. D. Di Benedetto and A. L. Sangiovanni-Vincentelli, Eds., Lecture Notes in Computer Science, Vol. 2034, Berlin, Germany: Springer-Verlag, 2001, pp. 232-246. C. Tomlin, J. Lygeros, and S. S. Sastry, " A game theoretic approach to controller design for hybrid systems (Invited Paper) ," Proc. IEEE , vol. 88, no. 7, pp. 949-970, July 2000. . Awards, Memberships and Fellowships National Academy of Engineering (NAE) Member , 2019 IEEE Transportation Technologies Award , 2017 Outstanding Advising Administrator, Director, Manager, Faculty Advisor or Dean , 2017 American Institute for Medical and Biological Engineering (AIMBE) Fellow , 2015 Electrical Engineering Award for Outstanding Teaching , 2011 Institute of Electrical & Electronics Engineers (IEEE) Fellow , 2010 Okawa Research Grant , 2006 MacArthur Fellow , 2006 Donald P. Eckman Award , 2003 MIT Tech Review Top 100 Innovators Under 35 (TR100) , 2003 . diff --git a/src/data/compiled_bios/3592.txt b/src/data/compiled_bios/3592.txt new file mode 100644 index 0000000000..c97bbe8770 --- /dev/null +++ b/src/data/compiled_bios/3592.txt @@ -0,0 +1 @@ +Theodore Van Duzer: Contact Information vanduzer@eecs.berkeley.edu : Research Areas Superconductor Electronics . . . Biography He obtained a B.S. from Rutgers University, an M.S. from UCLA and a Ph.D. from UC Berkeley. He is currently a Professor Emeritus in the Department of Electrical Engineering and Computer Sciences at Berkeley. He is co-author of two texts: Fields and Waves in Communication Electronics (with S. Ramo and J. R. Whinnery) and Principles of Superconductive Devices and Circuits (with C. W. Turner). He is a Life Fellow of the IEEE, a member of the National Academy of Engineering, a recipient of the Berkeley Citation and the IEEE/CSC Award for significant and Continuing Contributions to Applied Superconductivity. He has led a research group in superconductive electronics since 1968, including both devices and circuits. . Education 1960, PhD, EE, UC Berkeley 1957, MS, EE, UCLA 1954, BS, EE, Rutgers . Selected Publications X. Meng and T. Van Duzer, " Light-anodization process for high-Jc micron and submicron superconducting junction and integrated circuit fabrication ," IEEE Trans. Applied Superconductivity , vol. 13, no. 2, pt. 1, pp. 91-94, June 2003. T. Van Duzer, Y. Feng, X. Meng, S. R. Whiteley, and N. Yoshikawa, " Hybrid Josephson-CMOS memory: A solution for the Josephson memory problem ," Superconductor Science & Technology , vol. 15, no. 12, pp. 1669-1674, Dec. 2002. A. Bhat, X. Meng, S. Whiteley, M. Jeffery, and T. Van Duzer, " A 10 GHz digital amplifier in an ultra-small-spread high-Jc Nb/Al-AlOx/Nb integrated circuit process ," IEEE Trans. Applied Superconductivity , vol. 9, no. 2, pt. 3, pp. 3232-3235, June 1999. Z. J. Deng, N. Yoshikawa, S. R. Whiteley, and T. Van Duzer, " Data-driven self-timed RSFQ digital integrated circuit and system ," IEEE Trans. Applied Superconductivity , vol. 7, no. 2, pp. 3634-3637, June 1997. M. Jeffery, T. Van Duzer, J. R. Kirtley, and M. B. Ketchen, " Magnetic imaging of moat-guarded superconducting electronic circuits ," Applied Physics Letters , vol. 67, no. 12, pp. 1769-1771, Sep. 1995. S. Ramo, J. R. Whinnery, and T. Van Duzer, Fields and Waves in Communication Electronics , 3rd ed., New York, NY: Wiley, 1994. S. Ramo, J. R. Whinnery, and T. Van Duzer, Fields and Waves in Communication Electronics , 2nd, rev. ed., New York, NY: John Wiley and Sons, Inc., 1984. . Awards, Memberships and Fellowships The IEEE Award for Continuing & Significant Contributions in the Field of Applied Superconductivity , 2000 National Academy of Engineering (NAE) Member , 1997 Berkeley Citation , 1993 Institute of Electrical & Electronics Engineers (IEEE) Fellow , 1977 . diff --git a/src/data/compiled_bios/3593.txt b/src/data/compiled_bios/3593.txt new file mode 100644 index 0000000000..2d37c8db9a --- /dev/null +++ b/src/data/compiled_bios/3593.txt @@ -0,0 +1 @@ +Pravin Varaiya: Contact Information 271M Cory Hall tel: 510-642-5270 fax: 510-642-7815 varaiya@eecs.berkeley.edu : Research Areas Control, Intelligent Systems, and Robotics (CIR) Communications & Networking (COMNET) Energy (ENE) Control; Networks; Power systems; Transportation . Research Centers Partners for Advanced Transit and Highways (PATH) CITRIS People and Robots (CPAR) Berkeley Deep Drive (BDD) . . Biography Pravin Varaiya is Nortel Networks Distinguished Professor in the Department of Electrical Engineering and Computer Sciences at the UC Berkeley. From 1975 to 1992 he was also Professor of Economics at Berkeley. From 1994 to 1997 he was Director of the California PATH program, a multi-university research program dedicated to the solution of California's transportation problems. Varaiya has held a Guggenheim Fellowship and a Miller Research Professorship. He received Honorary Doctorates from L'Institut National Polytechnique de Toulouse and L'Institut National Polytechnique de Grenoble, and the Field Medal and Bode Lecture Prize of the IEEE Control Systems Society. He is a Fellow of IEEE, a member of the National Academy of Engineering, and a Fellow of the American Academy of Arts and Sciences. He is on the editorial board of "Discrete Event Dynamical Systems" and "Transportation Research---C". He has co-authored three books and over 300 technical papers. The second edition of High-Performance Communication Networks (with Jean Walrand and Andrea Goldsmith) was published by Morgan-Kaufmann in 2000. Structure and Interpretation of Signals and Systems (with Edward Lee) was published by Addison-Wesley in 2003. . Education 1966, Ph.D., Electrical Engineering, University of California, Berkeley 1960, B.S., Electrical Engineering, University of Bombay . Selected Publications M. Malboubi, A. Bahai, M. Ergen, P. Varaiya, and J. Walrand, " Unequal importance image communication over heterogeneous networks ," in Proc. 65th IEEE Vehicular Technology Conf. (VTC '07-Spring) , Piscataway, NJ: IEEE Press, 2007, pp. 629-633. S. Timofeev, A. Bahai, and P. Varaiya, " Wideband adaptive beamforming system for speech recording ," in Proc. 2007 IEEE Intl. Conf. on Acoustics, Speech and Signal Processing (ICASSP '07) , Vol. 2, Piscataway, NJ: IEEE Press, 2007, pp. 989-992. A. A. Kurzhanskiy and P. Varaiya, " Ellipsoidal techniques for reachability analysis of discrete-time linear systems ," IEEE Trans. Automatic Control , vol. 52, no. 1, pp. 26-38, Jan. 2007. R. Rajagopal, M. Wainwright, and P. Varaiya, " Universal quantile estimation with feedback in the communication-constrained setting ," in Proc. 2006 IEEE International Symposium on Information Theory (ISIT 2006) , Piscataway, NJ: IEEE Press, 2006, pp. 836-840. S. C. Ergen and P. Varaiya, " PEDAMACS: Power efficient and delay aware medium access protocol for sensor networks ," IEEE Trans. Mobile Computing , vol. 5, no. 7, pp. 920-930, July 2006. R. Jain and P. Varaiya, " Simulation-based uniform value function estimates of Markov decision processes ," SIAM J. Control and Optimization , vol. 45, no. 5, pp. 1633-1656, June 2006. J. Shu and P. Varaiya, " Smart pay access control via incentive alignment ," IEEE J. Selected Areas in Communications , vol. 24, no. 5, pp. 1051-1060, May 2006. A. B. Kurzhanski and P. Varaiya, " Ellipsoidal techniques for reachability under state constraints ," SIAM J. Optimization and Control , vol. 45, no. 4, pp. 1369-1394, April 2006. Z. Jia, R. Gupta, J. Walrand, and P. Varaiya, " Bandwidth guaranteed routing for ad-hoc networks with interference consideration ," in Proc. 10th IEEE Symp. on Computers and Communications , Los Alamitos, CA: IEEE Computer Society, 2005, pp. 3-9. M. Ergen and P. Varaiya, " Throughput formulation and WLAN optimization in mixed data rates for IEEE 802.11 DCF mode ," in Proc.2004 IEEE Global Telecommunications Conf. Workshops (GLOBECOM '04) , Piscataway, NJ: IEEE Press, 2004, pp. 266-269. J. Kwon, B. Dundar, and P. Varaiya, " Hybrid algorithm for indoor positioning using wireless LAN ," in Proc. 2004 IEEE 60th Vehicular Technology Conf. (VTC2004-Fall): Wireless Technologies for Global Security , Vol. 7, Piscataway, NJ: IEEE Press, 2004, pp. 4625-4629. M. Ergen, S. Coleri, B. Dundar, R. Jain, A. Puri, and P. Varaiya, " Application of GPS to mobile IP and routing in wireless networks ," in Proc. 2002 IEEE 56th Vehicular Technology Conf. (VTC2002-Fall) , Vol. 2, Piscataway, NJ: IEEE Press, 2002, pp. 1115-1119. D. Lee, A. Puri, P. Varaiya, R. Sengupta, R. Attias, and S. Tripakis, " A wireless token ring protocol for ad-hoc networks ," in Proc. 2002 IEEE Aerospace Conf. , Vol. 3, Piscataway, NJ: IEEE Press, 2002, pp. 1219-1228. A. S. Chuang, F. F. Wu, and P. Varaiya, " A game-theoretic model for generation expansion planning: Problem formulation and numerical comparisons ," IEEE Trans. Power Systems , vol. 16, no. 4, pp. 885-891, Nov. 2001. T. Simsek, P. Varaiya, and J. B. de Sousa, " Communication and control of distributed hybrid systems ," in Proc. 2001 American Control Conf. , Vol. 6, Piscataway, NJ: IEEE Press, 2001, pp. 4968-4983. R. Horowitz and P. Varaiya, " Control design of an automated highway system (Invited Paper) ," Proc. IEEE , vol. 88, no. 7, pp. 913-925, July 2000. A. J. Goldsmith and P. Varaiya, " Capacity of fading channels with channel side information ," IEEE Trans. Information Theory , vol. 43, no. 6, pp. 1986-1992, Nov. 1997. H. Chiang, F. F. Wu, and P. Varaiya, " A BCU method for direct analysis of power system transient stability ," IEEE Trans. Power Systems , vol. 9, no. 3, pp. 1194-1208, Aug. 1994. P. Varaiya, " Smart cars on smart roads: Problems of control ," IEEE Trans. Automatic Control , vol. 38, no. 2, pp. 195-207, Feb. 1993. P. Varaiya, " On the existence of solutions to a differential game ," SIAM J. Control , vol. 5, no. 1, pp. 153-162, Feb. 1967. . Awards, Memberships and Fellowships International Federation for Automatic Control (IFAC) Fellow , 2017 Richard E. Bellman Control Heritage Award , 2008 Berkeley Citation , 2006 IEEE Control Systems Award , 2002 National Academy of Engineering (NAE) Member , 1999 Electrical Engineering Award for Outstanding Teaching , 1998 American Academy of Arts and Sciences Member , 1985 Institute of Electrical & Electronics Engineers (IEEE) Fellow , 1980 Guggenheim Fellow , 1971 . diff --git a/src/data/compiled_bios/3594.txt b/src/data/compiled_bios/3594.txt new file mode 100644 index 0000000000..846eb87db7 --- /dev/null +++ b/src/data/compiled_bios/3594.txt @@ -0,0 +1 @@ +Alexandra von Meier: Contact Information 406E Cory Hall vonmeier@eecs.berkeley.edu : Research Areas Energy (ENE) , Electric Grids, Power Distribution . . Teaching Schedule Spring 2019 EE 137B. Introduction to Electric Power Systems , MoWe 4:00PM - 5:29PM, Cory 521 . Biography Alexandra Sascha von Meier is an Adjunct Professor in the Department of Electrical Engineering and Computer Science at UC Berkeley, where she teaches a course on Electric Power Systems. She is also Director in CIEEs Electric Grid program area, focuses on power distribution systems, Smart Grid issues, and the integration of distributed and intermittent generation. Her current research projects center on the use of high-precision micro-synchrophasor measurements for situational awareness, diagnostics and control applications in distribution grids. . Education 1995, PhD, Energy and Resources, UC Berkeley 1990, MA, Energy and Resources, UC Berkeley 1986, BA, Physics, UC Berkeley . Selected Publications E. Stewart and A. von Meier, " Phasor Measurements for Distribution System Applications ," in Smart Grid Handbook , Wiley, 2016. D. Arnold, M. Sankur, R. Dobbe, K. Brady, D. Callaway, and A. von Meier, "Optimal Dispatch of Reactive Power for Voltage Regulation and Balancing in Unbalanced Distribution Systems," in IEEE Power & Energy Society General Meeting , 2016. M. Andersen, S. Kumar, C. Brooks, A. von Meier, and D. E. Culler, "DISTIL: Design and Implementation of a Scalable Synchrophasor Data Processing System," in IEEE Conference on Smart Grid Communications , 2015. G. Cavraro, R. Arghandeh, K. Poolla, and A. von Meier, "Data-driven approach for distribution network topology detection," in 2015 IEEE Power Energy Society General Meeting , 2015, pp. 1--5. L. Schenato, G. Barchi, D. Macii, R. Arghandeh, K. Poolla, and A. von Meier, "Bayesian linear state estimation using smart meters and PMU measurements in distribution grids," in Smart Grid Communications (SmartGridComm), 2014 IEEE International Conference on , 2014, pp. 572--577. A. von Meier, " Challenges to the Integration of Renewable Resources at High System Penetration ," California Energy Commission, May 2014. A. von Meier, Electric Power Systems: A Conceptual Introduction , Wiley, 2006. A. von Meier, " Occupational Cultures as a Challenge to Technological Innovation ," IEEE Transactions on Engineering Management , vol. 46, no. 1, pp. 101-114, Feb. 1999. . . diff --git a/src/data/compiled_bios/3595.txt b/src/data/compiled_bios/3595.txt new file mode 100644 index 0000000000..089f1af3ef --- /dev/null +++ b/src/data/compiled_bios/3595.txt @@ -0,0 +1 @@ +Martin Wainwright: Contact Information 263 Cory Hall tel: 510-643-1978 fax: 642-2845 wainwrig@eecs.berkeley.edu : Research Areas Artificial Intelligence (AI) Control, Intelligent Systems, and Robotics (CIR) Communications & Networking (COMNET) Signal Processing (SP) Theory (THY) Machine learning . Research Centers Berkeley Laboratory for Information and System Sciences (BLISS) Simons Institute for the Theory of Computing (SITC) Berkeley Artificial Intelligence Research Lab (BAIR) . . Biography Martin Wainwright is currently a professor at University of California at Berkeley, with a joint appointment between the Department of Statistics and the Department of Electrical Engineering and Computer Sciences (EECS). He received a Bachelor's degree in Mathematics from University of Waterloo, Canada, and Ph.D. degree in EECS from Massachusetts Institute of Technology (MIT). His research interests include high-dimensional statistics, information theory, statistical machine learning, and optimization theory. He has been awarded an Alfred P. Sloan Foundation Fellowship (2005), Best Paper Awards from the IEEE Signal Processing Society (2008), and IEEE Communications Society (2010); the Joint Paper Prize (2012) from IEEE Information Theory and Communication Societies; a Medallion Lectureship (2013) from the Institute of Mathematical Statistics; a Section Lecturer at the International Congress of Mathematicians (2014); and the COPSS Presidents' Award (2014) from the Joint Statistical Societies. . . Selected Publications N. Shah, S. Balakrishnan, and M. Wainwright, " Feeling the bern: Adaptive estimators for Bernoulli probabilities of pairwise comparisons ," in IEEE International Symposium on Information Theory (ISIT) , 2016, pp. 1153--1157. N. Shah, S. Balakrishnan, and M. Wainwright, " Feeling the Bern: Adaptive Estimators for Bernoulli Probabilities of Pairwise Comparisons ," in IEEE International Symposium on Information Theory (ISIT) , 2016. N. Shah, S. Balakrishnan, and M. Wainwright, " A Permutation-based Model for Crowd Labeling: Optimal Estimation and Robustness ," UC Berkeley, June 2016. N. Shah, S. Balakrishnan, A. Guntuboyina, and M. Wainwright, " Stochastically Transitive Models for Pairwise Comparisons: Statistical and Computational Issues ," UC Berkeley, 2015. N. Shah and M. Wainwright, " Simple, Robust and Optimal Ranking from Pairwise Comparisons ," UC Berkeley, Dec. 2015. N. Shah, S. Balakrishnan, B. Joseph, A. Parekh, K. Ramchandran, and M. Wainwright, "Estimation from Pairwise Comparisons: Sharp Minimax Bounds with Topology Dependence," in AISTATS, San Diego, May 2015 , 2015. R. Rajagopal, M. Wainwright, and P. Varaiya, " Universal quantile estimation with feedback in the communication-constrained setting ," in Proc. 2006 IEEE International Symposium on Information Theory (ISIT 2006) , Piscataway, NJ: IEEE Press, 2006, pp. 836-840. X. Nguyen, M. Wainwright, and M. Jordan, " Nonparametric decentralized detection using kernel methods ," IEEE Transactions on Signal Processing , vol. 53, no. 11, pp. 4053-4066, Nov. 2005. M. Wainwright, T. S. Jaakkola, and A. S. Willsky, " A new class of upper bounds on the log partition function ," IEEE Transactions on Information Theory , vol. 51, no. 7, pp. 2313-2335, July 2005. J. Feldman, M. Wainwright, and D. R. Karger, " Using linear programming to decode binary linear codes ," IEEE Transactions on Information Theory , vol. 51, no. 3, pp. 954-972, March 2005. M. Wainwright, T. Jaakkola, and A. Willsky, " Tree consistency and bounds on the performance of the max-product algorithm and its generalizations ," Statistics and Computing , vol. 14, no. 2, pp. 143-166, April 2004. J. Portilla, V. Strela, M. Wainwright, and E. P. Simoncelli, " Image denoising using scale mixtures of Gaussians in the wavelet domain ," IEEE Transactions on Image Processing , vol. 12, no. 11, pp. 1338-1351, Nov. 2003. . Awards, Memberships and Fellowships COPSS Presidents' Award , 2014 IEEE Communications Society (COMSOC) & Information Theory Society (IT) Joint Paper Award , 2012 Institute of Mathematical Statistics (IMS) Fellow , 2011 Electrical Engineering Award for Outstanding Teaching , 2011 NSF Faculty Early Career Development Award (CAREER) , 2006 Okawa Research Grant , 2005 Sloan Research Fellow , 2005 . diff --git a/src/data/compiled_bios/3596.txt b/src/data/compiled_bios/3596.txt new file mode 100644 index 0000000000..0d27a46a03 --- /dev/null +++ b/src/data/compiled_bios/3596.txt @@ -0,0 +1 @@ +Laura Waller: Contact Information 514 Cory Hall tel: (510) 642-2753 waller@berkeley.edu : Research Areas Physical Electronics (PHY) Signal Processing (SP) Biosystems & Computational Biology (BIO) Graphics (GR) Computational imaging Optics . Research Centers Integrated Modeling Process and Computation for Technology (IMPACT) Berkeley Artificial Intelligence Research Lab (BAIR) . Teaching Schedule Spring 2019 EE 118. Introduction to Optical Engineering , MoWe 2:00PM - 3:29PM, Soda 310 EE 218A. Introduction to Optical Engineering , MoWe 2:00PM - 3:29PM, Soda 310 . Biography Laura Waller leads the Computational Imaging Lab, which develops new methods for optical imaging, with optics and computational algorithms designed jointly. She holds the Ted Van Duzer Endowed Professorship and is a Senior Fellow at the Berkeley Institute of Data Science (BIDS), with affiliations in Bioengineering and Applied Sciences & Technology. Laura was a Postdoctoral Researcher and Lecturer of Physics at Princeton University from 2010-2012 and received BS, MEng and PhD degrees from MIT in 2004, 2005 and 2010, respectively. She is a Moore Foundation Data-Driven Investigator, Bakar fellow, Distinguished Graduate Student Mentoring awardee, NSF CAREER awardee, Chan-Zuckerberg Biohub Investigator, SPIE Early Career Achievement Awardee and Packard Fellow. . Education 2010, Ph.D., Electrical Engineering and Computer Science, MIT 2005, M.Eng., Electrical Engineering and Computer Science, MIT 2004, B.S., Electrical Engineering and Computer Science, MIT . Selected Publications N. Pegard, H. Liu, N. Antipa, M. Gerlock, H. Adesnik, and L. Waller, " Compressive light-field microscopy for 3D neural activity recording ," Optica , vol. 3, no. 5, pp. 517--524, 2016. J. Kim, X. Zhang, L. Waller, B. A. Barsky, and R. Ng, "Free Your Eyes: Retinal Image Deblurring Display with Enlarged Viewing Zone," in International Conference on Computational Photography , May 2016. N. Antipa, S. Necula, R. Ng, and L. Waller, " Single-Shot Diffuser-Encoded Light Field Imaging ," in 2016 IEEE International Conference on Computational Photography (ICCP) , 2016, pp. 1--11. L. Waller and L. Tian, " Computational imaging: Machine learning for 3D microscopy ," Nature , vol. 523, no. 7561, 2015. L. Tian, Z. Liu, L. Yeh, M. Chen, J. Zhong, and L. Waller, " Computational illumination for high-speed in vitro Fourier ptychographic microscopy ," Optica , vol. 2, no. 10, pp. 904--911, 2015. L. Tian and L. Waller, " 3D intensity and phase imaging from light field measurements in an LED array microscope ," Optica , vol. 2, no. 2, pp. 104--111, Jan. 2015. Z. Jingshan, L. Tian, J. Dauwels, and L. Waller, " Partially coherent phase imaging with simultaneous source recovery ," Biomed. Opt. Express , vol. 6, no. 1, pp. 257--265, Dec. 2014. L. Waller, G. Situ, and J. Fleischer, " Phase-space measurement and coherence synthesis of optical beams ," Nature Photonics , vol. 6, pp. 474-479, July 2012. L. Waller, S. S. Kou, C. J. R. Sheppard, and G. Barbastathis, " Phase from chromatic aberrations ," Optics Express , vol. 18, no. 22, pp. 22817--22825, Oct. 2010. . Awards, Memberships and Fellowships SPIE Early Career Achievement Award - Academic , 2018 Carol D. Soc Distinguished Graduate Student Mentoring Award , 2016 NSF Faculty Early Career Development Award (CAREER) , 2014 Moore Investigator in Data Driven Discovery , 2014 Packard Fellow in Science and Engineering , 2014 Bakar Fellow , 2014 . diff --git a/src/data/compiled_bios/3597.txt b/src/data/compiled_bios/3597.txt new file mode 100644 index 0000000000..e5f7135c1c --- /dev/null +++ b/src/data/compiled_bios/3597.txt @@ -0,0 +1 @@ +Jean Walrand: Contact Information 257 Cory Hall tel: 510-219-5821 wlr@eecs.berkeley.edu : Research Areas Communications & Networking (COMNET) , Performance evaluation Game theory . Research Centers Berkeley Laboratory for Information and System Sciences (BLISS) Tsinghua-UC Berkeley Shenzhen Institute (TBSI) . . Biography He received his Ph.D. in EECS from UC Berkeley. He is the co-author of "Communication Networks: A Concise Introduction" (Morgan-Claypool 2010), "Scheduling and Congestion Control for Communication and Processing Networks" (Morgan-Claypool, 2010), "High-Performance Communication Networks" (2nd ed, Morgan Kaufman, 2000) and "Sharing Network Resources (Morgan-Claypool, 2014), and the author of An Introduction to Queueing Networks (Prentice Hall, 1988) and Probability in Electrical Engineering and Computer Science (Amazon, 2014). Prof. Walrand is a Fellow of the Belgian American Education Foundation and of the IEEE and a recipient of the INFORMS Lanchester Prize, the IEEE Stephen O. Rice Prize, the 2012 IEEE Koji Kobayashi Award and the 2013 ACM Sigmetrics Achievement Award. . . Selected Publications P. Maille, S. Parekh, and J. Walrand, "Overlaying Delay-Tolerant Service using SDN," July 2015. D. Lee, J. Mo, J. Walrand, and J. Park, "A Token Pricing Scheme for Internet Services," in ICQT , Lecture Notes in Computer Science, Vol. 6995, Springer, 2011, pp. 26-37. J. Musacchio, J. Walrand, R. Myers, S. Parekh, J. Mo, and G. Agarwal, " Backpressure Mechanism for Switch Fabric ," U.S. Patent 7,983,287. July 2011. L. Jiang and J. Walrand, "Approaching throughput-optimality in distributed CSMA scheduling algorithms with collisions," IEEE/ACM Trans. Netw. , vol. 19, no. 3, pp. 816-829, June 2011. D. Hausheer, A. Parekh, J. Walrand, and G. Schwartz, "Towards a compelling new Internet platform," in Proceedings of the 12th IFIP/IEEE International Symposium on Integrated Network Management, IM 2011 , IEEE, 2011, pp. 1224-1227. L. Jiang, V. Anantharam, and J. Walrand, "How bad are selfish investments in network security?," IEEE/ACM Trans. Netw. , vol. 19, no. 2, pp. 549-560, April 2011. L. Jiang, M. Leconte, J. Ni, R. Srikant, and J. Walrand, "Fast mixing of parallel Glauber dynamics and low-delay CSMA scheduling," in INFOCOM , 2011, pp. 371-375. J. Lee and J. Walrand, "Optimism in games with non-probabilistic uncertainty," in Proceedings of the 49th IEEE Conference on Decision and Control, CDC 2010 , IEEE, 2010, pp. 4347-4352. L. Jiang, D. Shah, J. Shin, and J. Walrand, "Distributed Random Access Algorithm: Scheduling and Congestion Control," IEEE Transactions on Information Theory , vol. 56, no. 12, pp. 6182-6207, Nov. 2010. A. Gueye, J. Walrand, and V. Anantharam, "Design of Network Topology in an Adversarial Environment," in GameSec , Lecture Notes in Computer Science, Vol. 6442, Springer, 2010, pp. 1-20. R. Jain and J. Walrand, "An efficient Nash-implementation mechanism for network resource allocation," Automatica , vol. 46, no. 8, pp. 1276-1283, Oct. 2010. N. Shetty, G. Schwartz, and J. Walrand, "Can Competitive Insurers Improve Network Security?," in TRUST , Lecture Notes in Computer Science, Vol. 6101, Springer, 2010, pp. 308-322. L. Jiang and J. Walrand, Scheduling and Congestion Control for Wireless and Processing Networks , Synthesis Lectures on Communication Networks, citeKey, Morgan {\&} Claypool Publishers, 2010. J. Walrand and S. Parekh, Communication Networks: A Concise Introduction , Synthesis Lectures on Communication Networks, citeKey, Morgan {\&} Claypool Publishers, 2010. J. Walrand and S. Parekh, Communication Networks: A Concise Introduction , Morgan & Claypool, 2010. N. Shetty, S. Parekh, and J. Walrand, "Economics of Femtocells," in IEEE Globecom , 2009. L. Jiang, V. Anantharam, and J. Walrand, " Efficiency of selfish investments in network security ," in Proc. 3rd Intl. Workshop on Economics of Networked Systems (NetEcon '08) , New York, NY: The Association for Computing Machinery, Inc., 2008, pp. 31-36. L. Jiang, S. Parekh, and J. Walrand, "Time-Dependent Network Pricing and Bandwidth Trading," in IEEE International Workshop on Bandwidth on Demand (BoD) , 2008. R. Jain and J. Walrand, " An efficient mechanism for network bandwidth auction ," in Proc. 2nd IEEE Intl. Workshop on Bandwidth on Demand (BoD 2008) , Piscataway, NJ: IEEE Press, 2008, pp. 227-234. N. Shetty, A. Gieue, and J. Walrand, " A novel approach to bottleneck analysis in networks ," in Proc. 20th IEEE/IFIP Network Operations and Managment Symp. (NOMS 2008) , M. Brunner, C. B. Westphall, and L. Z. Granville, Eds., Piscataway, NJ: IEEE Press, 2008, pp. 65-72. . Awards, Memberships and Fellowships IEEE Koji Kobayashi Computers and Communications Award , 2012 Stephen O. Rice Prize , 2000 Institute of Electrical & Electronics Engineers (IEEE) Fellow , 1993 INFORMS Frederick W. Lanchester Prize , 1989 . diff --git a/src/data/compiled_bios/3598.txt b/src/data/compiled_bios/3598.txt new file mode 100644 index 0000000000..9121bb8cc4 --- /dev/null +++ b/src/data/compiled_bios/3598.txt @@ -0,0 +1 @@ +John Wawrzynek: Contact Information 631 Soda Hall tel: 510-643-9434 johnw@cs.berkeley.edu : Research Areas Computer Architecture & Engineering (ARC) Design, Modeling and Analysis (DMA) . Research Centers Berkeley Wireless Research Center (BWRC) . Teaching Schedule Spring 2019 EECS 151. Introduction to Digital Design and Integrated Circuits , TuTh 3:30PM - 4:59PM, Cory 540AB EECS 151LA-101. Introduction to Digital Design and Integrated Circuits Lab , We 5:00PM - 7:59PM, Cory 125 EECS 151LB-101. Introduction to Digital Design and Integrated Circuits Lab , Th 11:00AM - 1:59PM, Cory 125 EECS 151LB-102. Introduction to Digital Design and Integrated Circuits Lab , We 2:00PM - 4:59PM, Cory 125 EECS 251A. Introduction to Digital Design and Integrated Circuits , TuTh 3:30PM - 4:59PM, Cory 540AB EECS 251LA-101. Introduction to Digital Design and Integrated Circuits Lab , We 5:00PM - 7:59PM, Cory 125 EECS 251LB-101. Introduction to Digital Design and Integrated Circuits Lab , Th 11:00AM - 1:59PM, Cory 125 EECS 251LB-102. Introduction to Digital Design and Integrated Circuits Lab , We 2:00PM - 4:59PM, Cory 125 EE 298-8. Group Studies, Seminars, or Group Research , Fr 12:00PM - 1:29PM, . Biography He received a B.S. in Electrical Engineering from SUNY, Buffalo, 1977, a M.S. in EE from the University of Illinois, Urbana/Champaign, 1979, and a Ph.D. in Computer Science from the California Institute of Technology, 1987. Prior to joining the EECS faculty in 1988 he was a consultant at Schlumberger Palo Alto Research. Honors and awards include the Charles Lee Powell Fellowship, 1985; the NASA Certificate of Recognition, 1983; and the Rensselaer Engineering and Science Medal, 1975. . . Selected Publications N. Goyal, J. Wawrzynek, and J. D. Kubiatowicz, " Global Data Plane Router on Click ," EECS Department, University of California, Berkeley, Tech. Rep. UCB/EECS-2015-234, Dec. 2015. Z. Hyder and J. Wawrzynek, " Best Paper Award: Defect tolerance in multiple-FPGA systems ," in Proc. IEEE 15th Intl. Conf. on Field Programmable Logic and Applications (FPL2005) , T. Rissa, S. Wilton, and P. Leong, Eds., Piscataway, NJ: IEEE Press, 2005, pp. 247-254. C. Chang, J. Wawrzynek, and R. W. Brodersen, " BEE2: A high-end reconfigurable computing system ," IEEE Design and Test of Computers , vol. 22, no. 2, pp. 114-125, March 2005. N. Weaver, J. Hauser, and J. Wawrzynek, " The SFRA: A corner-turn FPGA architecture ," in Proc. 2004 ACM/SIGDA 12th Intl. Symp. on Field Programmable Gate Arrays , New York, NY: ACM Press, 2004, pp. 3-12. J. Yeh and J. Wawrzynek, " Compute-resource allocation for motion estimation in real-time video compression ," in Conf. Record of the 37th Asilomar Conf. on Signals, Systems & Computers , M. B. Matthews, Ed., Vol. 2, Piscataway, NJ: IEEE Press, 2003, pp. 1558-1561. Y. Markovskiy, E. Caspi, R. Huang, J. Yeh, M. Chu, J. Wawrzynek, and A. DeHon, " Analysis of quasi-static scheduling techniques in a virtualized reconfigurable machine ," in Proc. 2002 ACM/SIGDA 10th Intl. Symp. on Field-Programmable Gate Arrays , New York, NY: ACM Press, 2002, pp. 196-205. J. Lazzaro and J. Wawrzynek, " Compiling MPEG 4 structured audio into C ," in 2001 Proc. of Workshop and Exhibition on MPEG-4 , Piscataway, NJ: IEEE Press, 2001, pp. 5-8. T. J. Callahan and J. Wawrzynek, " Adapting software pipelining for reconfigurable computing ," in Proc. 2000 Intl. Conf. on Compilers, Architecture, and Synthesis for Embedded Systems , New York, NY: ACM Press, 2000, pp. 57-64. E. Caspi, M. Chu, R. Huang, J. Yeh, J. Wawrzynek, and A. DeHon, " Stream computations organized for reconfigurable execution (SCORE) ," in The Roadmap to Reconfigurable Computing: Proc. 10th Intl. Workshop on Field-Programmable Logic and Applications , R. W. Hartenstein and H. Grunbacher, Eds., Lecture Notes in Computer Science, Vol. 1896, London, UK: Springer-Verlag, 2000, pp. 605-614. T. J. Callahan, J. R. Hauser, and J. Wawrzynek, " The Garp architecture and C compiler ," Computer , vol. 33, no. 4, pp. 62-69, April 2000. A. DeHon and J. Wawrzynek, " Reconfigurable computing: What, why, and implications for design automation ," in Proc. 36th Annual ACM/IEEE Conf. on Design Automation , M. J. Irwin, Ed., New York, NY: ACM Press, 1999, pp. 610-615. W. Tsu, K. Macy, A. Joshi, R. Huang, N. Walker, T. Tung, O. Rowhani, V. George, J. Wawrzynek, and A. DeHon, " HSRA: High-speed, hierarchical synchronous reconfigurable array ," in Proc. 1999 ACM/SIGDA 7th Intl. Symp. on Field Programmable Gate Arrays , New York, NY: ACM Press, 1999, pp. 125-134. T. J. Callahan and J. Wawrzynek, " Instruction-level parallelism for reconfigurable computing ," in Proc. 8th Intl. Workshop on Field-Programmable Logic and Applications: From FPGAs to Computing Paradigm , R. W. Hartenstein and A. Keevallik, Eds., Lecture Notes in Computer Science, Vol. 1482, London, UK: Springer-Verlag, 1998, pp. 248-257. M. Chu, N. Weaver, K. Sulimma, A. DeHon, and J. Wawrzynek, " Object oriented circuit-generators in Java ," in Proc. 1998 IEEE Symp. on FPGAs for Custom Computing Machines , K. L. Pocek and J. M. Arnold, Eds., Los Alamitos, CA: IEEE Computer Society, 1998, pp. 158-166. T. J. Callahan, P. Chong, A. DeHon, and J. Wawrzynek, " Fast module mapping and placement for datapaths in FPGAs ," in Proc. 1998 ACM/SIGDA 6th Intl. Symp. on Field Programmable Gate Arrays , New York, NY: ACM Press, 1998, pp. 123-132. J. R. Hauser and J. Wawrzynek, " Garp: A MIPS processor with a reconfigurable coprocessor ," in Proc. 5th Annual IEEE Symp. on FPGAs for Custom Computing Machines , Los Alamitos, CA: IEEE Computer Society, 1997, pp. 12-21. J. Wawrzynek, K. Asanovic, B. Kingsbury, D. Johnson, J. Beck, and N. Morgan, " Spert-II: A vector microprocessor system ," Computer , vol. 29, no. 3, pp. 79-86, March 1996. D. E. Culler, A. Sah, K. E. Schauser, T. von Eicken, and J. Wawrzynek, " Fine-grain parallelism with minimal hardware support: A compiler-controlled threaded abstract machine ," in Proc. 4th Intl. Conf. on Architectural Support for Programming Languages and Operating Systems , New York, NY: ACM Press, 1991, pp. 164-175. J. Wawrzynek, "VLSI models for sound synthesis," in Current Directions in Computer Music Research , M. V. Mathews and J. R. Pierce, Eds., MIT Press Series in System Development Foundation Benchmark, Cambridge, MA: MIT Press, 1989, pp. 113-148. . Awards, Memberships and Fellowships Charles Lee Powell Fellowship , 1985 . diff --git a/src/data/compiled_bios/3599.txt b/src/data/compiled_bios/3599.txt new file mode 100644 index 0000000000..461fddf8f9 --- /dev/null +++ b/src/data/compiled_bios/3599.txt @@ -0,0 +1 @@ +William J. Welch: Contact Information 643 Campbell Hall tel: 510-643-6543 welch@astro.berkeley.edu : Research Areas Nano-Optoelectronics, Electromagnetics/Plasmas . . . Biography William J. Welch received a B.S. in Physics from Stanford University in 1955, and the M.S. and Ph.D. degrees in Engineering Sciences from the University of California, Berkeley, in 1958 and 1960, respectively. He joined the faculty of the Electrical Engineering and Computer Sciences Department in 1960, and in 1971 became a faculty member of the Astronomy Department. Prof. Welch retired as Professor Emeritus in 2005 and is currently a Professor in the Graduate School. His specialty area is radio astronomy, with research focusing specifically upon the formation of stars, dark dust clouds, the Michelson interferometer array, and the Allen telescope array. Considered one of the founders of molecular radio astronomy, Prof. Welch is the author or co-author of over 100 journal articles and conference papers. Elected to the National Academy of Sciences in 1999, his citation reads: "He started the field of millimeter-wave interferometry and remains one of its most active practitioners. His discoveries in star formation include the first hot cores associated with massive protostars and their subsequent evolution into ultracompact HII regions." Prof. Welch was the director of the Radio Astronomy Lab at U.C. Berkeley from 1971-1996, and continues to participate in both the CARMA (Combined Array for Research in Millimeter-wave Astronomy) Project and the Allen Telescope Array Project, which is being conducted jointly with the SETI Institute. From 1998-2005, he held the Watson and Marilyn Alberts Chair in the Search for Extraterrestrial Intelligence, and is a member of the SETI Institute Board of Trustees. Prof. Welch is a Fellow of the American Academy for the Advancement of Science; a member of the American Astronomical Society; a member of URSI, Commission V; and a member of the International Astronomical Union. He received a Docteur Honoris Causa from the Universit de Bordeaux I in 1979. In 1996, he was a recipient of the Berkeley Citation in acknowledgment of his significant contributions to the field of radio astronomy and his distinguished service to the campus. . . Selected Publications D. Fong, M. Meixner, E. C. Sutton, A. Zalucha, and W. J. Welch, " Evolution of the circumstellar molecular envelope. I. A BIMA CO survey of evolved stars ," The Astrophysical J. , vol. 652, no. 2, pt. 1, pp. 1626-1653, Dec. 2006. N. H. Volgenau, L. G. Mundy, L. W. Looney, and W. J. Welch, " Dense cores with multiple protostars: The velocity fields of L1448 IRS 3, NGC 1333 IRAS 2, and NGC 1333 IRAS 4 ," The Astrophysical J. , vol. 651, no. 1, pt. 1, pp. 301-320, Nov. 2006. H. Chen, W. J. Welch, D. J. Wilner, and E. C. Sutton, " A high-mass protobinary system in the hot core W3(H2O) ," The Astrophysical J. , vol. 639, no. 2, pt. 1, pp. 975-990, March 2006. J. J. Swift, W. J. Welch, J. Di Francesco, and I. Stojimirovic, " A pre-protostellar core in L1551. II. State of dynamical and chemical evolution ," The Astrophysical J. , vol. 637, no. 1, pt. 1, pp. 392-399, Jan. 2006. M. Cohen, D. F. Carbon, W. J. Welch, T. Lim, B. Schulz, A. D. McMurry, J. R. Forster, and D. Goorvitch, " Far-infrared and millimeter continuum studies of K giants: alpha Bootis and alpha Tauri ," The Astronomical J. , vol. 129, no. 6, pp. 2836-2848, June 2005. J. J. Swift, W. J. Welch, and J. Di Francesco, " A pre-protostellar core in L1551 ," The Astrophysical J. , vol. 620, no. 2, pt. 1, pp. 823-834, Feb. 2005. J. Gibson, W. J. Welch, and I. de Pater, "Accurate Jovian radio flux density measurements show ammonia to be subsaturated in the upper troposphere," Icarus , vol. 173, no. 2, pp. 439-446, Feb. 2005. D. R. DeBoer, W. J. Welch, J. Dreher, J. Tarter, L. Blitz, M. Davis, M. Fleming, D. Bock, G. Bower, J. Lugten, G. Girmay-Keleta, L. R. D'Addario, G. R. Harp, R. Ackermann, S. Weinreb, G. Engargiiola, D. Thornton, and N. Wadefalk, " The Allen Telescope Array ," in Proc. SPIE: Ground Based Telescopes , J. M. Oschmann, Jr., Ed., Vol. 5489, Bellingham, WA: SPIE, 2004, pp. 1021-1028. N. H. Volgenau, L. G. Mundy, L. W. Looney, and W. J. Welch, " Evidence for the turbulent formation of stars ," in AIP Conf. Proc.: The Search for Other Worlds. 14th Astrophysics Conf. , Vol. 713, Melville, NY: American Institute of Physics, 2004, pp. 59-62. L. W. Looney, L. G. Mundy, and W. J. Welch, " Envelope emission in young stellar systems: A subarcsecond survey of circumstellar structure ," The Astrophysical J. , vol. 592, no. 1, pt. 1, pp. 255-265, July 2003. J. Di Francesco, M. R. Hogerheijde, W. J. Welch, and E. A. Bergin, " Abundances of molecular species in Barnard 68 ," The Astronomical J. , vol. 124, no. 5, pp. 2749-2755, Nov. 2002. A. L. Rudolph, R. Bachiller, N. Q. Rieu, D. V. Trung, P. Palmer, and W. J. Welch, " A molecular line study of the HH 7-11 outflow ," The Astrophysical J. , vol. 558, no. 1, pt. 1, pp. 204-215, Sep. 2001. D. J. Wilner, C. G. De Pree, W. J. Welch, and W. M. Goss, " Hot cores in W49N and the timescale for hot core evolution ," The Astrophysical J. , vol. 550, no. 1, pt. 2, pp. L81-L85, March 2001. J. J. Swift, W. J. Welch, and B. L. Frye, " Spatially resolved millimeter spectroscopy of the gravitational lens PKS 1830-211 ," The Astrophysical J. , vol. 549, no. 1, pt. 2, pp. L29-L32, March 2001. L. G. Mundy, L. W. Looney, and W. J. Welch, " The structure and evolution of envelopes and disks in young stellar systems ," in Protostars and Planets IV , V. Mannings, A. P. Boss, and S. S. Russell, Eds., University of Arizona Space Science Series, Tucson, AZ: University of Arizona Press, 2000, pp. 355-376. L. W. Looney, L. G. Mundy, and W. J. Welch, " Unveiling the circumstellar envelope and disk: A subarcsecond survey of circumstellar structures ," The Astrophysical J. , vol. 529, no. 1, pt. 1, pp. 477-498, Jan. 2000. W. J. Welch, D. D. Thornton, R. L. Plambeck, M. C. H. Wright, J. Lugten, L. Urry, M. Fleming, W. Hoffman, J. Hudson, W. T. Lum, J. R. Forster, N. Thatte, X. Zhang, S. Zivanovic, L. Snyder, R. Crutchere, K. Y. Lo, B. Wakker, M. Stupar, R. Sault, Y. Miao, R. Rao, K. Wan, H. R. Dickel, L. Blitz, S. N. Vogel, L. Mundy, W. Erickson, P. J. Teuben, J. Morgan, T. Helfer, L. Looney, E. De Gues, A. Grossman, J. E. Howe, M. Pound, and M. Regan, " The Berkeley-Illinois-Maryland-Association millimeter array ," Publications of the Astronomical Society of the Pacific , vol. 108, no. 719, pp. 93-103, Jan. 1996. M. C. H. Wright, R. L. Plambeck, S. N. Vogel, P. T. P. Ho, and W. J. Welch, " Source of the high-velocity molecular flow in Orion ," The Astrophysical J. , vol. 267, no. 1, pt. 2, pp. L41-L45, April 1983. R. L. Plambeck, M. C. H. Wright, W. J. Welch, J. H. Bieging, B. Baud, P. T. P. Ho, and S. N. Vogel, " Kinematics of Orion-KL: Aperture synthesis maps of 86 GHz SO emission ," The Astrophysical J. , vol. 259, no. 2, pt. 1, pp. 617-624, Aug. 1982. D. M. Rank, C. H. Townes, and W. J. Welch, " Interstellar molecules and dense clouds ," Science , vol. 174, no. 4014, pp. 1083-1101, Dec. 1971. . Awards, Memberships and Fellowships National Academy of Sciences (NAS) Member , 1999 Institute of Electrical & Electronics Engineers (IEEE) Fellow , 1975 . diff --git a/src/data/compiled_bios/36.txt b/src/data/compiled_bios/36.txt new file mode 100644 index 0000000000..0396b40c76 --- /dev/null +++ b/src/data/compiled_bios/36.txt @@ -0,0 +1 @@ + Albert Fred Harris, III Teaching Assistant Professor 4211 Siebel Center for Comp Sci 201 N. Goodwin Ave. Urbana Illinois 61801 (217) 244-7116 aharris@illinois.edu : . . . . diff --git a/src/data/compiled_bios/360.txt b/src/data/compiled_bios/360.txt new file mode 100644 index 0000000000..e8b8954fce --- /dev/null +++ b/src/data/compiled_bios/360.txt @@ -0,0 +1 @@ +Name: Khan, Kamran:: Position: Senior Lecturer:: Degrees: M.S., Computer Science, The University of Texas at Dallas, Texas; B.S., Computer Science, The University of Texas at Dallas, Texas; Research Interests: Algorithms and Data Structure; MicroService Architecture; Agile Methodology; DevOps; Representative Publications: Display of end-to-end physical layer signal flow (Patent No: US 8255450 B2); diff --git a/src/data/compiled_bios/3600.txt b/src/data/compiled_bios/3600.txt new file mode 100644 index 0000000000..232ab8b1a7 --- /dev/null +++ b/src/data/compiled_bios/3600.txt @@ -0,0 +1 @@ +Richard M. White: Contact Information 571 Cory Hall tel: 510-642-0540 rwhite@eecs.berkeley.edu : Research Areas Energy (ENE) Solid-State Devices . . . Biography He received his Ph.D. from Harvard University and is Director of the Berkeley Sensor and Actuator Center. . . Selected Publications A. H. Meng, N. Nguyen, and R. M. White, " Focused flow micropump using ultrasonic flexural plate waves ," Biomedical Microdevices , vol. 2, no. 3, pp. 169-174, June 2000. S. E. Cowan, J. Black, J. D. Keasling, and R. M. White, " Ultrasonic flexural-plate-wave sensor for detecting the concentration of settling E. coli W3110 cells ," Analtyical Chemistry , vol. 71, no. 16, pp. 3622-3625, Aug. 1999. J. W. Grate, S. J. Martin, and R. M. White, " Acoustic wave microsensors: Part II ," Analytical Chemistry , vol. 65, no. 22, pp. 987A-996A, Nov. 1993. J. W. Grate, S. J. Martin, and R. M. White, " Acoustic wave microsensors: Part I ," Analytical Chemistry , vol. 65, no. 21, pp. 940A-948A, Nov. 1993. J. W. Grate, S. W. Wenzel, and R. M. White, " Flexural plate wave devices for chemical analysis ," Analtyical Chemistry , vol. 63, no. 15, pp. 1552-1561, Aug. 1991. R. M. Moroney, R. M. White, and R. T. Howe, " Microtransport induced by ultrasonic Lamb waves ," Applied Physics Letters , vol. 59, no. 7, pp. 774-776, Aug. 1991. S. W. Wenzel and R. M. White, " Analytic comparison of the sensitivities of bulk-wave, surface-wave, and flexural plate-wave ultrasonic gravimetric sensors ," Applied Physics Letters , vol. 54, no. 20, pp. 1976-1978, May 1989. E. T. Zellers, R. M. White, and S. W. Wenzel, " Computer modelling of polymer-coated ZnO/Si surface-acoustic-wave and Lamb-wave chemical sensors ," Sensors and Actuators , vol. 14, no. 1, pp. 35-45, May 1988. R. M. White, P. J. Wicher, S. W. Wenzel, and E. T. Zellers, " Plate-mode ultrasonic oscillator sensors ," IEEE Trans. Ultrasonics, Ferroelectrics and Frequency Control , vol. 34, no. 2, pp. 162-171, March 1987. J. J. Bernstein and R. M. White, " Piezo-electrocapillary effect: A new effect observed in porous anodic oxide films ," J. Electrochemical Society , vol. 131, no. 5, pp. 1050-1053, May 1984. K. Uozumi, K. Ohsone, and R. M. White, " Generation and detection of ultrasonic Lamb waves in a thin deposited film by using interdigital transducers ," Applied Physics Letters , vol. 43, no. 10, pp. 917-919, Nov. 1983. C. T. Chuang, R. M. White, and J. J. Bernstein, " A thin-membrane surface-acoustic-wave vapor-sensing device ," IEEE Electron Device Letters , vol. 3, no. 6, pp. 145-148, June 1982. A. R. Neureuther, R. M. White, and C. Wright, "Introduction to Electronics: Sophomore Self-Study Course," IEEE Trans. Education , vol. E-22, no. 1, pp. 17-20, Feb. 1979. T. I. Chappell and R. M. White, " Characteristics of a water absorber in front of a silicon solar cell ," Applied Physics Letters , vol. 28, no. 8, pp. 422-423, April 1976. G. Y. Robinson and R. M. White, "A laboratory experiment on semiconductor bulk-effect oscillators," IEEE Trans. Education , vol. E-15, no. 3, pp. 187-188, Aug. 1972. R. M. White, " Surface elastic waves ," Proc. IEEE , vol. 58, no. 8, pp. 1238-1276, Aug. 1970. N. C. MacDonald, G. Y. Robinson, R. M. White, N. C. MacDonald, G. Y. Robinson, and R. M. White, " Time-resolved scanning electron microscopy and its application to bulk-effect oscillators ," J. Applied Physics , vol. 40, no. 11, pp. 4516-4528, Oct. 1969. S. G. Joshi and R. M. White, " Excitation and detection of surface elastic waves in piezoelectric crystals ," J. Acoustical Society of America , vol. 46, no. 1A, pp. 17-27, July 1969. G. Y. Robinson and R. M. White, " Scanning electron microscopy of ferroelectric domains in barium titanate ," Applied Physics Letters , vol. 10, no. 11, pp. 320-323, June 1967. R. M. White and F. W. Voltmer, " Ultrasonic surface-wave amplification in cadmium sulfide ," Applied Physics Letters , vol. 8, no. 2, pp. 40-42, Jan. 1966. . Awards, Memberships and Fellowships IEEE James Clerk Maxwell Medal , 2013 Rayleigh Ultrasonics Award , 2003 W. G. Cady Frequency Control Award , 2000 National Academy of Engineering (NAE) Member , 1994 UFFC Achievement Award , 1988 W. G. Cady Frequency Control Award , 1987 IEEE Cledo Brunetti Award , 1986 Institute of Electrical & Electronics Engineers (IEEE) Fellow , 1972 Guggenheim Fellow , 1968 . diff --git a/src/data/compiled_bios/3601.txt b/src/data/compiled_bios/3601.txt new file mode 100644 index 0000000000..8c55cb84e7 --- /dev/null +++ b/src/data/compiled_bios/3601.txt @@ -0,0 +1 @@ +Eugene Wong: Contact Information 269M Cory Hall tel: 510-642-8458 wong@eecs.berkeley.edu : Research Areas Communications & Networking (COMNET) . . . Biography Eugene Wong received his B.S., A. M., and Ph.D. degrees in Electrical Engineering from Princeton University in 1955, 1958, and 1959, respectively. Prior to coming to Berkeley, he was an NSF Postdoctoral Fellow at University of Cambridge (1959-1960), and a researcher at IBM Research Center in Yorktown, New York (1960-1962). He joined the faculty of the EECS Department in 1962, where he pursued his research interests in database management systems, optimization algorithms, stochastic processes, and neural networks. From 1985-1989, he served as Department Chair, during which time he led the department through its greatest period of growth to become the largest academic department on the Berkeley campus and one of the highest ranked departments in its field. Prof. Wong retired from the Department in 1994 as Professor Emeritus. In 2004, the Wireless Foundation was established in Cory Hall upon completion of the Eugene and Joan C. Wong Center for Communications Research. It is noteworthy that Prof. Wong's distinguished career includes significant contributions in equal measure to academia, business, and public service. As an academician and educator, he authored or co-authored over 100 scholarly articles and published four books, while mentoring a number of students and supervising over 20 dissertations. His business acumen and achievements rival his academic accomplishments. In 1980 he co-founded (with Michael Stonebraker and Lawrence A. Rowe) Relational Technology, Inc., later renamed the INGRES Corporation, which was a leading provider of database software products. While in Hong Kong from 1994-1996, he was instrumental in building an Internet backbone for Asia, first as CEO of SuperNet, Ltd., and then as founder of the Asia Internet Holding Company. From 1998-2005, he was variously a director, chief scientist, and CEO of Versata, Inc., a public software company serving the distributed enterprise applications market. Besides Prof. Wong's academic and entrepreneurial attainments, he has a distinguished record of national and international public service. From 1990-1993 he was the Associate Director of the Office of Science and Technology Policy, Executive Office of the President, under George H. Bush, where he played a leading role in efforts that led to the U.S.-Japan cooperative program in optoelectronics and to the federal initiatives on High Performance Computing and Communications and on Advanced Manufacturing Technology. While there he also contributed to the enacted version of the High Performance Computing Act of 1991. From 1994-1996, he was Vice President for Research and Development for Hong Kong University of Science and Technology, where he developed innovative programs in technology transfer and commercialization. From 1998-2000, he was an assistant director at NSF for engineering, where he inaugurated major initiatives in microsystems, information technology, nanotechnology, service-sector engineering, and biotechnology. In addition, Prof. Wong has served on numerous advisory committees of national and international organizations (NAE; NRC; NATO; Chairman of the Council of Advisors on Innovation and Technology, Office of the Chief Executive, Hong Kong; and the Science and Technology Advisory Group, Office of the Prime Minister of Taiwan). Most recently, he served as Interim Director of Information and Communication Technologies for Science Foundation Ireland. Prof. Wong is a member and former Councilor for the National Academy of Engineering; a Fellow of the American Academy of Arts and Science; a Lifetime Member of the IEEE; a Member of the ACM; and an Academician of the Academia Sinica (Taiwan). He received an ACM Software System Award in 1988 for his work on INGRES, and was awarded the 2005 IEEE Founders Medal, with the apt citation: "For leadership in national and international engineering research and technology policy, for pioneering contributions in relational databases." . . Selected Publications E. Wong, " An economic case for basic research ," Nature , vol. 381, pp. 187-188, May 1996. E. Wong and K. Youssefi, " Decomposition--A strategy for query processing ," ACM Trans. Database Systems , vol. 1, no. 3, pp. 223-241, Sep. 1976. M. Stonebraker, G. Held, E. Wong, and P. Kreps, " The design and implementation of INGRES ," ACM Trans. Database Systems , vol. 1, no. 3, pp. 189-222, Sep. 1976. E. Wong and M. Zakai, " Martingales and stochastic integrals for processes with a multidimensional parameter ," Zeitschrift fur Wahrscheinlichkeitstheorie und verwandte Gebiete , vol. 29, no. 2, pp. 109-122, June 1974. E. Wong, " Some results concerning the zero-crossings of Gaussian noise ," SIAM J. Applied Mathematics , vol. 14, no. 6, pp. 1246-1254, Nov. 1966. E. Wong and M. Zakai, " On the convergence of ordinary integrals to stochastic integrals ," The Annals of Mathematical Statistics , vol. 36, no. 5, pp. 1560-1564, Oct. 1965. E. Wong, " A linear search problem ," SIAM Review , vol. 6, no. 2, pp. 168-174, April 1964. . Awards, Memberships and Fellowships IEEE Founders Medal , 2005 Berkeley Citation , 1994 ACM Software System Award , 1988 National Academy of Engineering (NAE) Member , 1987 American Academy of Arts and Sciences Member , 1980 Institute of Electrical & Electronics Engineers (IEEE) Fellow , 1974 Guggenheim Fellow , 1968 . diff --git a/src/data/compiled_bios/3602.txt b/src/data/compiled_bios/3602.txt new file mode 100644 index 0000000000..6b3844dbc0 --- /dev/null +++ b/src/data/compiled_bios/3602.txt @@ -0,0 +1 @@ +Felix F. Wu: Contact Information ffwu@eecs.berkeley.edu : Research Areas Electric power systems analysis; generation and transmission systems planning and investment; power system control and communications; electric energy industry restructuring. . . . Biography Felix Wu received his BS degree in Electrical Engineering from National Taiwan University in 1965, MS degree in Electrical Engineering from the University of Pittsburgh in 1969, and in 1972 he received his PhD degree in Electrical Engineering and Computer Sciences from the University of California, Berkeley. He taught at the University of Pittsburgh before joining the faculty at the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley, in 1974 (Assistant Professor 1974-78, Associate Professor 1978-82, Professor 1982-1997, Professor Emeritus 1997-present). He served as Pro Vice Chancellor (Research) at the University of Hong Kong from 1997 to 2000, and Director of Graduate School (1997-98). He is currently holder of Philip KH Wong Wilson KL Wong Professor in Electrical Engineering and Chair Professor of Electrical Engineering at HKU. He is also Director of Center for Electrical Energy Systems at HKU and Director of HKU-Tsinghua Shenzhen Power System Research Institute in Shenzhen, China. He was awarded the IEEE Fellow in 1989 for contributions to the development of theory and computation methods for power system planning and operation. He was the TEPCO (Tokyo Electric Power Company) Chair of "Frontier Technology for the Future Electric Energy System" in 1991. He has been a Visiting Professor at Swiss Federal Institute of Technology (ETH-Zurich), University of Tokyo, Univerdita Degli Studi di Cassino, Tsinghua University and many other universities. He has served on the Editorial Boards of several professional journals, as well as many IEEE committees, including Prize Paper Committee, Executive Committee of Power Systems Engineering, etc. He has also served as a consultant to a number of industry and government agencies including Pacific Gas and Electric Company, Electric Power Research Institute (USA), Chinese Electric Power Research Institute, ABB, Statcraft-Norway, Iberdrola-Spain, Manila Electric-Philippines, Taipower-Taiwan, etc. Prof. Wu is a Trustee of Croucher Foundation (since 2004). He was a Board Member of Shantou University (2000-2003), a Council Member of Hong Kong Productivity Council and a member of Hong Kong Government Electricity Appeal Board. He is a founding member of International Institute for Critical Infrastructures and served as its President from 2003-2005. . . Selected Publications A. S. Chuang, F. F. Wu, and P. Varaiya, " A game-theoretic model for generation expansion planning: Problem formulation and numerical comparisons ," IEEE Trans. Power Systems , vol. 16, no. 4, pp. 885-891, Nov. 2001. . Awards, Memberships and Fellowships Institute of Electrical & Electronics Engineers (IEEE) Fellow , 1991 . diff --git a/src/data/compiled_bios/3603.txt b/src/data/compiled_bios/3603.txt new file mode 100644 index 0000000000..557adcd58a --- /dev/null +++ b/src/data/compiled_bios/3603.txt @@ -0,0 +1 @@ +Ming C. Wu: Contact Information 511 Sutardja Dai Hall tel: 510-643-0808 fax: 510-666-2502 wu@eecs.berkeley.edu : Research Areas Micro/Nano Electro Mechanical Systems (MEMS) Physical Electronics (PHY) Si photonics, optoelectronics, nanophotonics, optical MEMS, Optofluidics . Research Centers Center for Integrated Access Networks (CIAN) Center for Information Technology Research in the Interest of Society - The Banatao Institute (CITRIS) Berkeley Sensor & Actuator Center (BSAC) Center for Energy Efficient Electronics Science (E3S) Marvell NanoLab . Teaching Schedule Spring 2019 EE 105. Microelectronic Devices and Circuits , TuTh 9:30AM - 10:59AM, Cory 521 . Biography Ming C. Wu is Nortel Distinguished Professor of Electrical Engineering and Computer Sciences. He is Co-Director of Berkeley Sensor and Actuator Center (BSAC) and Faculty Director of Berkeley Berkeley Marvell Nanolab. Dr. Wu received the B.S. degree in electrical engineering from National Taiwan University in 1983 and the M.S. and Ph.D. degrees in electrical engineering and computer sciences from the University of California, Berkeley, in 1986 and 1988, respectively. From 1988 to 1992, he was a Member of Technical Staff with AT&T Bell Laboratories, Murray Hill. From 1993 to 2004, he was a professor with the University of California, Los Angeles (UCLA). Since 2005, he has been a professor with the University of California, Berkeley, He is the author of more than 500 papers in journals and conferences and 25 U.S. patents. His research interests include Optical MEMS (micro-electro-mechanical systems), MOEMS, optofluidics, silicon photonics, nanophotonics, and optoelectronics. Prof. Wu is an IEEE Fellow and a Packard Foundation Fellow (1992 1997). He was a member of the IEEE Photonics Society Board of Governors from 2013 to 2016. He was a recipient of the IEEE Photonics Society William Streifer Scientific Achievement Award in 2016, the Optical Society of America Paul F. Forman Engineering Excellence Award in 2007, and the Optical Society of America C.E.K. Mees Medal in 2017. . Education 1988, PhD, EECS, University of California, Berkeley . Selected Publications T. J. Seok, N. Quack, S. Han, R. Muller, and M. C. Wu, " Large-scale broadband digital silicon photonic switches with vertical adiabatic couplers ," Optica , vol. 3, no. 1, pp. 64, Jan. 2016. M. S. Eggleston and M. C. Wu, " Efficient Coupling of an Antenna-Enhanced nanoLED into an Integrated InP Waveguide ," Nano Letters , vol. 15, no. 5, pp. 3329--3333, May 2015. M. S. Eggleston, K. Messer, L. Zhang, E. Yablonovitch, and M. C. Wu, " Optical antenna enhanced spontaneous emission ," Proceedings of the National Academy of Sciences , vol. 112, no. 6, pp. 1704--1709, Feb. 2015. B. Yoo, M. Megens, T. Sun, W. Yang, C. Chang-Hasnain, D. A. Horsley, and M. C. Wu, " A 32 32 optical phased array using polysilicon sub-wavelength high-contrast-grating mirrors ," Optics Express , vol. 22, no. 16, pp. 19029, Aug. 2014. K. Yu, A. Lakhani, and M. C. Wu, " Subwavelength metal-optic semiconductor nanopatch lasers ," Optics Express , vol. 18, no. 9, pp. 8790--8799, April 2010. E. K. Lau, X. Zhao, H. Sung, D. Parekh, C. Chang-Hasnain, and M. C. Wu, " Strong optical injection-locked semiconductor lasers demonstrating > 100-GHz resonance frequencies and 80-GHz intrinsic bandwidths ," Optics Express , vol. 16, no. 9, pp. 6609-6618, April 2008. A. Jamshidi, P. J. Pauzauskie, P. J. Schuck, A. T. Ohta, P. Chiou, J. Chou, P. Yang, and M. C. Wu, " Dynamic manipulation and separation of individual semiconducting and metallic nanowires ," Nature Photonics , vol. 2, no. 2, pp. 86-89, Feb. 2008. P. Y. Chiou, Z. H. Chang, and M. C. Wu, " Droplet manipulation with light on optoelectrowetting device ," Journal of Microelectromechanical Systems , vol. 17, no. 1, pp. 133-138, Feb. 2008. E. K. Lau, H. K. Sung, and M. C. Wu, " Frequency Response Enhancement of Optical Injection-Locked Lasers ," IEEE Journal of Quantum Electronics , vol. 44, no. 1, pp. 90-99, Jan. 2008. J. Yao, D. Leuenberger, M. C. Lee, and M. C. Wu, " Silicon microtoroidal resonators with integrated MEMS tunable coupler ," IEEE Journal of Selected Topics in Quantum Electronics , vol. 13, no. 2, pp. 202-8, 2007. M. C. Wu, O. Solgaard, and J. E. Ford, " Optical MEMS for lightwave communication (Invited Paper) ," J. Lightwave Technology , vol. 24, no. 12, pp. 4433-4454, Dec. 2006. M. M. Lee and M. C. Wu, " Tunable coupling regimes of silicon microdisk resonators using MEMS actuators ," Optics Express , vol. 14, no. 11, pp. 4703-4712, May 2006. P. Y. Chiou, A. T. Ohta, and M. C. Wu, " Massively parallel manipulation of single cells and microparticles using optical images ," Nature , vol. 436, no. 7049, pp. 370-372, July 2005. . Awards, Memberships and Fellowships Bakar Fellow , 2018 C.E.K. Mees Medal , 2017 William Streifer Scientific Achievement Award , 2016 Paul F. Forman Team Engineering Excellence Award , 2007 Institute of Electrical & Electronics Engineers (IEEE) Fellow , 2002 IEEE Electron Devices Society (EDS) Fellows , 2002 Packard Fellow in Science and Engineering , 1992 . diff --git a/src/data/compiled_bios/3604.txt b/src/data/compiled_bios/3604.txt new file mode 100644 index 0000000000..3960f1ab4a --- /dev/null +++ b/src/data/compiled_bios/3604.txt @@ -0,0 +1 @@ +Eli Yablonovitch: Contact Information 267M Cory Hall tel: 642-6821 eliy@eecs.berkeley.edu : Research Areas Physical Electronics (PHY) Optoelectronics Research Group, high speed optical communications, photonic crystals at optical and microwave frequencies, the milli-Volt switch, optical antennas and solar cells. . Research Centers Center for Energy Efficient Electronics Science (E3S) . Teaching Schedule Spring 2019 EE 117. Electromagnetic Fields and Waves , WeFr 2:00PM - 3:29PM, Cory 299 . Biography Eli Yablonovitch introduced the idea that strained semiconductor lasers could have superior performance due to reduced valence band (hole) effective mass. With almost every human interaction with the internet, optical telecommunication occurs by strained semiconductor lasers. He is regarded as a Father of the Photonic BandGap concept, and he coined the term "Photonic Crystal". The geometrical structure of the first experimentally realized Photonic bandgap, is sometimes called Yablonovite . In his photovoltaic research, Yablonovitch introduced the 4(n squared) ( Yablonovitch Limit ) light-trapping factor that is in worldwide use, for almost all commercial solar panels. His mantra that "a great solar cell also needs to be a great LED, is the basis of the world record solar cells: single-junction 29.1% efficiency; dual-junction 31.5%; quadruple-junction 38.8% efficiency; all at 1 sun. His startup company Ethertronics Inc., shipped over 2 billion cellphone antennas. He co-Founded Luxtera Inc., the originator and world leader of Silicon Photonics, now acquired by Cisco Systems. There is a 2-dimensional Photonic Crystal, in every Luxtera Silicon Photonics chip, millions of which are in major data centers, used by billions all around the globe. Prof. Yablonovitch is elected as a Member of the National Academy of Engineering, the National Academy of Sciences, the National Academy of Inventors, the American Academy of Arts & Sciences, and is a Foreign Member of the Royal Society of London. He has been awarded the OSA Ives Medal, the Benjamin Franklin Medal, the IEEE Edison Medal, the Isaac Newton Medal of the UK Institute of Physics, the Buckley Prize of the American Physical Society, the IEEE W.R. Cherry solar cell award, the Rank Prize (UK), the Harvey Prize (Israel), the IEEE Photonics Award, the IET Mountbatten Medal (UK), the Julius Springer Prize (Germany), the R.W. Wood Prize, the W. Streifer Scientific Achievement Award, and the Adolf Lomb Medal. He also has an honorary Ph.D. from the Royal Institute of Technology, Stockholm, the Hong Kong Univ. of Science & Technology, & McGill Univ., and is honorary Professor at Nanjing University. Eli Yablonovitch is the Director of the NSF Center for Energy Efficient Electronics Science (E 3 S), a multi-University Center headquartered at Berkeley. He received his Ph.D. degree in Applied Physics from Harvard University in 1972. He worked for two years at Bell Telephone Laboratories, and then became a professor of Applied Physics at Harvard. In 1979 he joined Exxon to do research on photovoltaic solar energy. Then in 1984, he joined Bell Communications Research, where he was a Distinguished Member of Staff, and also Director of Solid-State Physics Research. In 1992 he joined the University of California, Los Angeles, where he was the Northrop-Grumman Chair Professor of Electrical Engineering. Then in 2007 he became Professor of Electrical Engineering and Computer Sciences at UC Berkeley, where he holds the James & Katherine Lau Chair in Engineering. . Education 1972, Ph.D., Applied Physics, Harvard University 1969, A.M., Applied Physics, Harvard University 1967, B.Sc., Physics, McGill University . Selected Publications H. Fang, C. Battaglia, C. Carraro, S. Nemsak, B. Ozdol, J. S. Kang, H. A. Bechtel, S. B. Desai, F. Kronast, A. A. Unal, G. Conti, C. Conlon, G. K. Palsson, M. C. Martin, A. M. Minor, C. S. Fadley, E. Yablonovitch, R. Maboudian, and A. Javey, " Strong interlayer coupling in van der Waals heterostructures built from single-layer chalcogenides ," Proceedings of the National Academy of Sciences , vol. 111, pp. 6198--6202, 2014. H. Fang, H. A. Bechtel, E. Plis, M. C. Martin, S. Krishna, E. Yablonovitch, and A. Javey, " Quantum of optical absorption in two-dimensional semiconductors ," Proceedings of the National Academy of Sciences , vol. 110, no. 29, pp. 11688--11691, 2013. E. Yablonovitch, O. Miller, and S. Kurtz, " Strong Internal and External Luminescence as Solar Cells Approach the ShockleyQueisser Limit ," IEEE Journal of Photovoltaics , vol. 2, no. 3, pp. 303-311, July 2012. M. Staffaroni, J. Conway, S. Vedantam, J. Tang, and E. Yablonovitch, " Circuit Analysis in Metal-Optics, ," Photonics and Nanostructures , vol. 10, no. 1, pp. 166176, Jan. 2012. E. Yablonovitch, " Photonic Crystals: Semiconductors of Light ," Scientific American , vol. 285, no. 6, pp. 47-55, Dec. 2001. . Awards, Memberships and Fellowships Frederic Ives Medal/Quinn Prize , 2019 Benjamin Franklin Medal in Electrical Engineering , 2018 IEEE Edison Medal , 2018 PVSC William R. Cherry Award , 2017 National Academy of Inventors (NAI) Fellow , 2017 Oliver E. Buckley Condensed Matter Prize , 2016 Isaac Newton Medal , 2015 Rank Prize in Optoelectronics , 2014 Foreign Member of the Royal Society of London , 2013 IEEE Photonics Award , 2012 American Academy of Arts and Sciences Member , 2011 Harvey Prize , 2011 Mountbatten Medal , 2010 National Academy of Engineering (NAE) Member , 2003 National Academy of Sciences (NAS) Member , 2003 Julius Springer Prize for Applied Physics , 2001 R. W. Wood Prize , 1996 William Streifer Scientific Achievement Award , 1993 Institute of Electrical & Electronics Engineers (IEEE) Fellow , 1992 American Physical Society (APS) Fellow , 1990 Optical Society of America (OSA) Fellow , 1982 Sloan Research Fellow , 1978 OSA Adolf Lomb Medal , 1978 . diff --git a/src/data/compiled_bios/3605.txt b/src/data/compiled_bios/3605.txt new file mode 100644 index 0000000000..8576df6fd0 --- /dev/null +++ b/src/data/compiled_bios/3605.txt @@ -0,0 +1 @@ +Bin Yu: Contact Information 367 Evans Hall tel: 510-642-2021 fax: 510-642-7892 binyu@stat.berkeley.edu : Research Areas Signal Processing (SP) , Machine learning, Remote Sensing, Neuroscience . Research Centers Simons Institute for the Theory of Computing (SITC) Berkeley Artificial Intelligence Research Lab (BAIR) . . Biography Bin Yu is Chancellors Professor in the Departments of Statistics and of Electrical Engineering & Computer Sciences at the University of California at Berkeley. Her current research interests focus on statistics and machine learning theory, methodologies, and algorithms for solving high-dimensional data problems. Her group is engaged in interdisciplinary research with scientists from genomics, neuroscience, and remote sensing. She obtained her B.S. degree in Mathematics from Peking University in 1984, her M.A. and Ph.D. degrees in Statistics from the University of California at Berkeley in 1987 and 1990, respectively. She held faculty positions at the University of Wisconsin-Madison and Yale University and was a Member of Technical Staff at Bell Labs, Lucent. She was Chair of Department of Statistics at UC Berkeley from 2009 to 2012, and is a founding co-director of the Microsoft Lab on Statistics and Information Technology at Peking University, China, and Chair of the Scientific Advisory Committee of the Statistical Science Center at Peking University. She is Member of the U.S. National Academy of Sciences and Fellow of the American Academy of Arts and Sciences. She was a Guggenheim Fellow in 2006, an Invited Speaker at ICIAM in 2011, and the Tukey Memorial Lecturer of the Bernoulli Society in 2012. She was President of IMS (Institute of Mathematical Statistics) in 2013-2014, and will be the Rietz Lecturer of IMS in 2016. She is a Fellow of IMS, ASA, AAAS and IEEE. She served on the Board of Mathematics Sciences and Applications (BMSA) of NAS and as co-chair of SAMSI advisory committee. She is serving on the Board of Trustees at ICERM and Scientific Advisory Board of IPAM. She has served or is serving on numerous editorial boards, including Journal of Machine Learning Research (JMLR), Annals of Statistics, and Journal of American Statistical Association (JASA). . Education 1990, Ph.D., Statistics, University of California, Berkeley 1987, M.A., Statistics, University of California, Berkeley 1984, B.S., Mathematics, Peking University . . Awards, Memberships and Fellowships COPSS Elizabeth L. Scott Award , 2018 National Academy of Sciences (NAS) Member , 2014 American Academy of Arts and Sciences Member , 2013 American Association for the Advancement of Science (AAAS) Fellow , 2008 IEEE Electron Devices Society (EDS) Fellows , 2007 Guggenheim Fellow , 2006 American Statistical Association (ASA) Fellow , 2005 Institute of Electrical & Electronics Engineers (IEEE) Fellow , 2002 Institute of Mathematical Statistics (IMS) Fellow , 1999 . diff --git a/src/data/compiled_bios/3606.txt b/src/data/compiled_bios/3606.txt new file mode 100644 index 0000000000..583b1c1f14 --- /dev/null +++ b/src/data/compiled_bios/3606.txt @@ -0,0 +1 @@ +Avideh Zakhor: Contact Information 507 Cory Hall tel: 510-384-3272 avz@eecs.berkeley.edu : Research Areas Signal Processing (SP) Artificial Intelligence (AI) Control, Intelligent Systems, and Robotics (CIR) Graphics (GR) . Research Centers Berkeley Center for New Media (BCNM) Video and Image Processing Lab (VIP Lab) Berkeley Deep Drive (BDD) CITRIS People and Robots (CPAR) Berkeley Artificial Intelligence Research Lab (BAIR) . Teaching Schedule Spring 2019 EE 225B. Digital Image Processing , We 1:00PM - 3:59PM, Cory 540AB . Biography Avideh Zakhor is currently Qualcomm Chair and professor in EECS at U.C. Berkeley. Her areas of interest include theories and applications of signal, image and video processing and 3D computer vision. She has won a number of best paper awards, including the IEEE Signal Processing Society in 1997 and 2009, IEEE Circuits and Systems Society in 1997 and 1999 and IEEE Solid Circuits Society in 2008. Prof. Zakhor received the B. S. degree from Caltech and the S. M. and Ph. D. degrees from MIT all in electrical engineering, in 1983, 1985, and 1987 respectively. She was a General Motors scholar from 1982 to 1983, was a Hertz fellow from 1984 to 1988, received the Presidential Young Investigators (PYI) award from President George Herbert Walker Bush in 1990, and Office of Naval Research (ONR) young investigator award in 1992. In 2001, she was elected as IEEE fellow and in 2018 she was chosen as the Electronics Imaging Scientist of the year by Society of Photographic instrumentation Engineers (SPIE). She co-founded OPC technology in 1996, which was later by Mentor Graphics (Nasdaq: MENT) in 1998, and UrbanScan Inc. in 2005 which was acquired by Google (Nasdaq:GOOGL) in 2007. She founded Indoor Reality in 2015 to develop technologies for rapid 3D mapping and visualization of buildings and assets; . Education 1987, Ph.D., Electrical Engineering and Computer Science, Massachusetts Institute of Technology 1985, S.M., Electrical Engineering and Computer Science, Massachusetts Institute of Technology 1983, B.Sc., Electrical Engineering, California Institute of Technology . Selected Publications A. Sahiner, F. Heng, A. Balamurugan, and A. Zakhor, " In Situ Width Estimation of Biofuel Plant Stems ," in Computational Imaging, SPIE Electronic Imaging , 2019. C. Hiller and A. Zakhor, " Fast, Automated Indoor Light Detection, Classification, and Measurement in Buildings ," in Computational Imaging, SPIE Electronic Imaging , 2018. B. Nemsick, A. Buchan, A. Nagabandi, R. S. Fearing, and A. Zakhor, " Cooperative Inchworm Localization with a Low Cost Team ," in International Conference on Robotics and Automation (ICRA) , 2017. D. Fridovich-Keil, E. Nelson, and A. Zakhor, " AtomMap: A Probabilistic Amorphous 3D Map Representation for Robotics and Surface Reconstruction ," in International Conference on Robotics and Automation (ICRA) , 2017. V. Shankar and A. Zakhor, " Approximate Subgraph Isomorphism for Image Localization ," in Computational Imaging, SPIE Electronic Imaging , 2016. R. Garcia and A. Zakhor, " Markerless Motion Capture with Multi-view Structured Light ," in Computational Imaging, SPIE Electronic Imaging , 2016. S. Yang, M. Krishnan, and A. Zakhor, " Access Point Selection for Multi-Rate IEEE 802.11 Wireless LANs ," in IEEE Globecom , 2015. A. Marston, E. Turner, A. Zakhor, O. Baumann, and P. Haves, " Testing RAPMOD: Can a Portable Scanner Collect Existing Building Data and Create an Energy Model Faster and More Accurately Than a Human ," in Building simulation Confernece, , 2015. J. Menke and A. Zakhor, " Multi-Modal Indoor Positioning of Mobile Devices ," in IEEE International Conference on Indoor Positioning and Indoor Navigation , 2015. E. Turner and A. Zakhor, " Automatic Indoor 3D Surface Reconstruction with Segmented Building and Object Elements ," in International Conference on 3D Vision , 2015. E. Turner, P. Cheng, and A. Zakhor, " Fast, Automated, Scalable Generation of Textured 3D Models of Indoor Environments ," IEEE Journal on Selected Topics in Signal Processing , April 2015. N. Corso and A. Zakhor, " Indoor Localization Algorithms for an Ambulatory Human Operated 3D Mobile Mapping System ," Remote Sensing , vol. 5, Oct. 2013. R. Garcia and A. Zakhor, " Consistent Stereo-Assisted Absolute Phase Unwrapping Methods for Structured Light Systems ," IEEE Journal on Selected Topics in Signal Processing , vol. 6, Sep. 2012. A. Abate, M. Chen, Y. Wang, A. Zakhor, and S. S. Sastry, " Design and Analysis of a Flow Control Scheme over Wireless Networks ," International Journal of Robust and Nonlinear Control , March 2011. V. Dai, G. Cramer, and A. Zakhor, " Full-chip characterization of compression algorithms for direct-write maskless lithography systems ," Journal of Micro/Nanolithography, MEMS, and MOEMS (JM3) , vol. 9, Sep. 2010. A. Gu and A. Zakhor, " Optical proximity correction with linear regression ," IEEE Trans. Semiconductor Manufacturing , vol. 21, no. 2, pp. 263-271, May 2008. C. Frueh and A. Zakhor, " Automatic 3D modeling of cities with multimodal air and ground sensors ," IEEE Transactions on Computer Graphics and Applications , Z. Zhu and T. S. Huang, Eds., vol. 23, no. 6, pp. 52-61, July 2007. H. Liu, V. Dai, A. Zakhor, and B. Nikolic, " Reduced complexity compression algorithms for direct-write maskless lithography systems ," SPIE J. Micro/Nanolithography, MEMS, and MOEMS , vol. 6, no. 1, pp. 13007-1-12, Jan. 2007. M. Chen and A. Zakhor, " Multiple TFRC connections based rate control for wireless networks ," IEEE Trans. Multimedia , vol. 8, no. 5, pp. 1045-1062, Oct. 2006. V. Dai and A. Zakhor, " Lossless compression of VLSI layout image data ," IEEE Trans. Image Processing , vol. 15, no. 9, pp. 2522-2530, Sep. 2006. . Awards, Memberships and Fellowships Electronic Imaging Scientist of the Year , 2018 Okawa Prize , 2004 Institute of Electrical & Electronics Engineers (IEEE) Fellow , 2002 Office of Naval Research Young Investigator Program , 1992 NSF Presidential Young Investigator (PYI) , 1990 . diff --git a/src/data/compiled_bios/3607.txt b/src/data/compiled_bios/3607.txt new file mode 100644 index 0000000000..6cb9a46aed --- /dev/null +++ b/src/data/compiled_bios/3607.txt @@ -0,0 +1 @@ + John Bell, PhD Lecturer312-413-9054 jbell@uic.edu Qualifications: Ph.D., University of Wisconsin-Madison, 1990Contact Information: Department of Computer Science, 851 S. Morgan (M/C 152) Room 1120 SEO Chicago, IL 60607-7053 Office:921 SEO View full profileResearch Interests: Virtual reality diff --git a/src/data/compiled_bios/3608.txt b/src/data/compiled_bios/3608.txt new file mode 100644 index 0000000000..19bb2f5a1d --- /dev/null +++ b/src/data/compiled_bios/3608.txt @@ -0,0 +1 @@ + Gonzalo Bello, PhD Clinical Assistant Professor312-413-5360 gabellol@uic.edu Qualifications:Ph.D., North Carolina State UniversityContact Information:Department of Computer Science, 851 S. Morgan (M/C 152) Room 1120 SEO Chicago, IL 60607-7053Office: 939 SEOResearch Interests: Data science, graph mining, computer science education diff --git a/src/data/compiled_bios/3609.txt b/src/data/compiled_bios/3609.txt new file mode 100644 index 0000000000..3119ad812e --- /dev/null +++ b/src/data/compiled_bios/3609.txt @@ -0,0 +1 @@ + Tanya Berger-Wolf, PhD Professor312-413-8719 tanyabw@uic.edu Qualifications:Ph.D., University of Illinois at Urbana-Champaign, 2002Contact Information:Department of Computer Science, 851 S. Morgan (M/C 152) Room 1120 SEO Chicago, IL 60607-7053Office:1136 SEOView full profileResearch Interests: Application of discrete modelling and analysis techniques to various areas of computational biology diff --git a/src/data/compiled_bios/361.txt b/src/data/compiled_bios/361.txt new file mode 100644 index 0000000000..ce0199c116 --- /dev/null +++ b/src/data/compiled_bios/361.txt @@ -0,0 +1 @@ +Name: Khan, Latifur:: Position: Professor:: Degrees: Ph.D., Computer Science, University of Southern California, Los Angeles, California, 2000; M.S., Computer Science, University of Southern California, Los Angeles, California, 1996; B.Sc., Computer Science and Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh, 1993; Research Interests: Big Data Management and Analytics; Data Mining; Database Systems; Semantic Web; Complex Data Management (Multimedia, Geo-Spatial); Major Honors and Awards: IEEE Technical Achievement Award for Intelligence and Security Informatics; ACM Distinguished Scientist; Representative Publications: SMV-Hunter: Large Scale, Automated Detection of SSL/TLS Man-in-the-Middle Vulnerabilities in Android Apps, Proceedings of the 21st ISOC Network and Distributed System Security Symposium (NDSS Symposium 2014), San Diego, CA, February 2014 (with D. Sounthiraraj, J. Sahs, Z. Lin, G. Greenwood).; Classification and Adaptive Novel Class Detection of Feature-Evolving Data Streams, IEEE Trans. on Knowledge and Data Engineering (TKDE) Journal, 25(7): 1484-1497 (2013) (with M. Masud, Q. Chen, Aggarwal, J. Gao, J. Han, N. Oza and A. Srivastava).; Greedy Based Query Processing for Large RDF Graphs Using Cloud Computing, IEEE Transactions on Knowledge and Data Engineering (TKDE), 23(9): 1312-1327 (2011) (with M. Husain, M. Masud, J. McGlothlin, B. Thuraisingham.; Classification and Novel Class Detection in Concept-Drifting Data Streams under Time Constraints, IEEE Transactions on Knowledge & Data Engineering (TKDE), 23, No. 6, Page: 859-874, 2011, IEEE Computer Society (with M. Masud, J. Gao, J. Han, and B. Thuraisingham).; Geographically-Typed Semantic Schema Matching, Web Semantics Journal: Science, Services and Agents on the World Wide Web, Elsevier, Vol. 9, No 1, March 2011, Pages 52-70 (with J. Partyka, P. Parveen, B. Thuraisingham, S. Shekhar).; diff --git a/src/data/compiled_bios/3610.txt b/src/data/compiled_bios/3610.txt new file mode 100644 index 0000000000..3d95b10735 --- /dev/null +++ b/src/data/compiled_bios/3610.txt @@ -0,0 +1 @@ + Daniel J. Bernstein, PhD Research Professor312-413-9322 djb@math.uic.edu Qualifications: Ph.D., University of California, Berkeley, 1995Contact Information: Department of Computer Science, 851 S. Morgan (M/C 152) Room 1120 SEO Chicago, IL 60607-7053 Office:SEO 410 View full profileResearch Interests: Computational number theory, computational commutative algebra, cryptography, computer security diff --git a/src/data/compiled_bios/3611.txt b/src/data/compiled_bios/3611.txt new file mode 100644 index 0000000000..8fab8c5bcd --- /dev/null +++ b/src/data/compiled_bios/3611.txt @@ -0,0 +1 @@ + Emanuelle Burton, PhD Lecturer312-413-2448 enburton@uic.edu Qualifications:PhD, Religion and Literature, University of Chicago Divinity SchoolContact Information:Department of Computer Science, 851 S. Morgan (M/C 152) Room 1120 SEO Chicago, IL 60607-7053Office:938 SEOResearch Interests: Ethics, AI and Society diff --git a/src/data/compiled_bios/3612.txt b/src/data/compiled_bios/3612.txt new file mode 100644 index 0000000000..922bf060a4 --- /dev/null +++ b/src/data/compiled_bios/3612.txt @@ -0,0 +1 @@ + Ugo Buy, PhD Associate Professor312-413-2296 buy@uic.edu Qualifications:Ph.D., University of Massachusetts, 1990Contact Information:Department of Computer Science, 851 S. Morgan (M/C 152) Room 1120 SEO Chicago, IL 60607-7053Office:1139 SEOView full profileResearch Interests: Software engineering, digital government diff --git a/src/data/compiled_bios/3613.txt b/src/data/compiled_bios/3613.txt new file mode 100644 index 0000000000..e7714602dd --- /dev/null +++ b/src/data/compiled_bios/3613.txt @@ -0,0 +1 @@ + Cornelia Caragea, PhD Associate Professor312-996-2807 cornelia@uic.edu Qualifications:Ph.D.,Computer Science, Iowa State UniversityContact Information:Department of Computer Science, 851 S. Morgan (M/C 152) Room 1120 SEO Chicago, IL 60607-7053Office: 3-190 E, Daley LibraryVisit Profile PageResearch Interests:Artificial intelligence, machine learning, information retrieval, and natural language processing diff --git a/src/data/compiled_bios/3614.txt b/src/data/compiled_bios/3614.txt new file mode 100644 index 0000000000..755021de7e --- /dev/null +++ b/src/data/compiled_bios/3614.txt @@ -0,0 +1 @@ + Debaleena Chattopadhyay, PhD Assistant Professor312-413-5183 debchatt@uic.edu Qualifications: Ph.D.,Indiana University, Indianapolis, Indiana 2016Contact Information: Department of Computer Science, 851 S. Morgan (M/C 152) Room 1120 SEO Chicago, IL 60607-7053 Office:1135 SEO View full profile UIC HCI Lab WebsiteResearch Interests:Human-computer interaction (HCI); focuses on designing, prototyping, and evaluating intuitive user experiences diff --git a/src/data/compiled_bios/3615.txt b/src/data/compiled_bios/3615.txt new file mode 100644 index 0000000000..81f2ff8024 --- /dev/null +++ b/src/data/compiled_bios/3615.txt @@ -0,0 +1 @@ +312-413-2284 ccranc2@uic.edu Qualifications:M.A., University of Illinois at Chicago, 2014Contact Information:Department of Computer Science, 851 S. Morgan (M/C 152) Room 1120 SEO Chicago, IL 60607-7053Office: 936 SEOResearch Interests: Linguistics, TESOL diff --git a/src/data/compiled_bios/3616.txt b/src/data/compiled_bios/3616.txt new file mode 100644 index 0000000000..080ada7b3e --- /dev/null +++ b/src/data/compiled_bios/3616.txt @@ -0,0 +1 @@ + Isabel Cruz, PhD Professor708-269-5075 ifc@cs.uic.edu Qualifications:Ph.D., University of Toronto, 1994Contact Information:Department of Computer Science, 851 S. Morgan (M/C 152) Room 1120 SEO Chicago, IL 60607-7053Office: 1134 SEOView full profileResearch Interests: Databases, geographic information systems, semantic web, information visualization, visual languages, graph drawing, multimedia, information retrieval, security diff --git a/src/data/compiled_bios/3617.txt b/src/data/compiled_bios/3617.txt new file mode 100644 index 0000000000..f24be78a24 --- /dev/null +++ b/src/data/compiled_bios/3617.txt @@ -0,0 +1 @@ + Bhaskar DasGupta, PhD Professor312-355-1319 bdasgup@uic.edu Qualifications:Ph.D., University of Minnesota, Minneapolis, 1995Contact Information:Department of Computer Science, 851 S. Morgan (M/C 152) Room 1120 SEO Chicago, IL 60607-7053Office:933 SEOView full profileResearch Interests: Bioinformatics, computational biology, neural networks, machine learning, optical networks, combinatorial algorithms diff --git a/src/data/compiled_bios/3618.txt b/src/data/compiled_bios/3618.txt new file mode 100644 index 0000000000..d8aa6c2301 --- /dev/null +++ b/src/data/compiled_bios/3618.txt @@ -0,0 +1 @@ + Barbara Di Eugenio, PhD Professor312-996-7566 bdieugen@uic.edu Contact Information:Department of Computer Science, 851 S. Morgan (M/C 152) Room 1120 SEO Chicago, IL 60607-7053Office:1138 SEOResearch Interests: Natural language processing, intelligent agents, collaborative and tutoring systemsWeb: View full profile diff --git a/src/data/compiled_bios/3619.txt b/src/data/compiled_bios/3619.txt new file mode 100644 index 0000000000..8c79f92e3f --- /dev/null +++ b/src/data/compiled_bios/3619.txt @@ -0,0 +1 @@ + Jakob Eriksson, PhD Associate Professor312-996-0481 jakob@uic.edu Qualifications:Ph.D., University of California, Riverside, 2006Contact Information:Department of Computer Science, 851 S. Morgan (M/C 152) Room 1120 SEO Chicago, IL 60607-7053Office: 1309SEOView full profileResearch Interests: participatory sensing, wireless and sensor networks, computational transportation science, operating system and language support for concurrent programs diff --git a/src/data/compiled_bios/362.txt b/src/data/compiled_bios/362.txt new file mode 100644 index 0000000000..59724f1f89 --- /dev/null +++ b/src/data/compiled_bios/362.txt @@ -0,0 +1 @@ +Name: Kumar, Pushpa:: Position: Senior Lecturer:: Degrees: Ph.D., The University of Texas at Dallas; M.S., University of Notre Dame; B.E., Delhi College of Engineering; Research Interests: Computer Graphics; Graph Visualization; Women in STEM fields; Notable Service: CS Graduate Faculty Advisor; Society of Women Engineers Faculty Advisor; Faculty in STEM Council Member; diff --git a/src/data/compiled_bios/3620.txt b/src/data/compiled_bios/3620.txt new file mode 100644 index 0000000000..ef137b9712 --- /dev/null +++ b/src/data/compiled_bios/3620.txt @@ -0,0 +1 @@ + Piotr Gmytrasiewicz, PhD Associate Professor312-355-1320 piotr@cs.uic.edu Qualifications:Ph.D., University of Michigan, Ann Arbor, 1992Contact Information:Department of Computer Science, 851 S. Morgan (M/C 152) Room 1120 SEO Chicago, IL 60607-7053Office:935 SEOView full profileResearch Interests: Artificial intelligence, multi-agent systems, intelligent agents, knowledge representation, uncertainty reasoning, automated decision-making, decision and game theories, intelligent coordination and communication, cognitive modeling diff --git a/src/data/compiled_bios/3621.txt b/src/data/compiled_bios/3621.txt new file mode 100644 index 0000000000..f8f6519a71 --- /dev/null +++ b/src/data/compiled_bios/3621.txt @@ -0,0 +1 @@ + Mark Grechanik, PhD Associate Professor312-355-3250 drmark@cs.uic.edu Qualifications:Ph.D., The University of Texas at Austin, 2006Contact Information:Department of Computer Science, 851 S. Morgan (M/C 152) Room 1120 SEO Chicago, IL 60607-7053Office: 1103 SEOView full profileResearch Interests: Research Interests: Software engineering; software testing, verification and validation; software reuse; software evolution, and maintenance; data privacy in software engineering diff --git a/src/data/compiled_bios/3622.txt b/src/data/compiled_bios/3622.txt new file mode 100644 index 0000000000..d4aebef8e7 --- /dev/null +++ b/src/data/compiled_bios/3622.txt @@ -0,0 +1 @@ + David Hayes Lecturer312-413-8138 dhayes1@uic.edu Qualifications:Master of Management, Northwestern UniversityContact Information:Department of Computer Science, 851 S. Morgan (M/C 152) Room 1120 SEO Chicago, IL 60607-7053Office:937 SEOVisit Profile PageResearch Interests: Web Science, Application Development, Ethics diff --git a/src/data/compiled_bios/3623.txt b/src/data/compiled_bios/3623.txt new file mode 100644 index 0000000000..cf2176953e --- /dev/null +++ b/src/data/compiled_bios/3623.txt @@ -0,0 +1 @@ + Joe Hummel, PhD Clinical Associate Professor, Director of Undergraduate Studies312.355.1317 jhummel2@uic.edu Qualifications:Ph.D., University of California, Irvine, 1998Contact Information:Department of Computer Science, 851 S. Morgan (M/C 152) Room 1120 SEO Chicago, IL 60607-7053Office:908 SEOView full profileResearch Interests: parallelism, high performance computing, compilers, programming languages diff --git a/src/data/compiled_bios/3624.txt b/src/data/compiled_bios/3624.txt new file mode 100644 index 0000000000..8f16b7dc6f --- /dev/null +++ b/src/data/compiled_bios/3624.txt @@ -0,0 +1 @@ + Andrew Johnson, PhD Associate Professor, Director of Research/EVL312.996.3002 ajohnson@uic.edu Qualifications:Ph.D., Wayne State University, 1994Contact Information:Department of Computer Science, 851 S. Morgan (M/C 152) Room 1120 SEO Chicago, IL 60607-7053Office:2032 ERFView full profileResearch Interests: Computer graphics, collaborative environments, visualization, virtual reality, learning environments, user interfaces, visual analytics diff --git a/src/data/compiled_bios/3625.txt b/src/data/compiled_bios/3625.txt new file mode 100644 index 0000000000..5e8b07f1bb --- /dev/null +++ b/src/data/compiled_bios/3625.txt @@ -0,0 +1 @@ + Chris Kanich, PhD Assistant Professor312-355-0950 ckanich@uic.edu Qualifications:Ph.D., University of California, San Diego, 2012Contact Information:Department of Computer Science, 851 S. Morgan (M/C 152) Room 1120 SEO Chicago, IL 60607-7053Office:1308 SEOView full profileResearch Interests: Economics of cybercrime, Internet measurement, Human factors in security diff --git a/src/data/compiled_bios/3626.txt b/src/data/compiled_bios/3626.txt new file mode 100644 index 0000000000..686f0db66a --- /dev/null +++ b/src/data/compiled_bios/3626.txt @@ -0,0 +1 @@ + Ian Kash, PhD Associate Professor312-996-2795 iankash@uic.edu Qualifications:Ph.D.,Computer Science, Cornell UniversityContact Information:Department of Computer Science, 851 S. Morgan (M/C 152) Room 1120 SEO Chicago, IL 60607-7053Office: 3-190 F, Daley LibraryVisit Profile PageResearch Interests: Economics and Computer Science, Machine Learning diff --git a/src/data/compiled_bios/3627.txt b/src/data/compiled_bios/3627.txt new file mode 100644 index 0000000000..336ecbff6e --- /dev/null +++ b/src/data/compiled_bios/3627.txt @@ -0,0 +1 @@ + Robert Kenyon, PhD Professor, Director of graduate studies312-996-0450 kenyon@uic.edu Qualifications:Ph.D., University of California, Berkeley, 1978Contact Information:Department of Computer Science, 851 S. Morgan (M/C 152) Room 1120 SEO Chicago, IL 60607-7053Office:1133 SEOView full profileResearch Interests: Human-Computer interaction, computer graphics diff --git a/src/data/compiled_bios/3628.txt b/src/data/compiled_bios/3628.txt new file mode 100644 index 0000000000..1753dc34a3 --- /dev/null +++ b/src/data/compiled_bios/3628.txt @@ -0,0 +1 @@ + Ajay Kshemkalyani, PhD Professor312-355-1309 ajay@uic.edu Qualifications:Ph.D., Ohio State University, 1991Contact Information:Department of Computer Science, 851 S. Morgan (M/C 152) Room 1120 SEO Chicago, IL 60607-7053Office:915 SEOView full profileResearch Interests: Distributed computing, computer networks, sensor networks, mobile ad-hoc networks, concurrent systems diff --git a/src/data/compiled_bios/3629.txt b/src/data/compiled_bios/3629.txt new file mode 100644 index 0000000000..45fa90971c --- /dev/null +++ b/src/data/compiled_bios/3629.txt @@ -0,0 +1 @@ + John Lillis, PhD Associate Professor312-355-2129 jlillis@cs.uic.edu Qualifications:Ph.D., University of California, San Diego, 1996Contact Information:Department of Computer Science, 851 S. Morgan (M/C 152) Room 1120 SEO Chicago, IL 60607-7053Office:940 SEOView full profileResearch Interests: CAD for VLSI, combinatorial optimization diff --git a/src/data/compiled_bios/363.txt b/src/data/compiled_bios/363.txt new file mode 100644 index 0000000000..4674be013d --- /dev/null +++ b/src/data/compiled_bios/363.txt @@ -0,0 +1 @@ +Name: Kunapuli, Gautam:: Position: Research Associate Professor:: Degrees: Ph.D., Mathematics, Rensselaer Polytechnic Institute, 2008; M.S., Applied Mathematics, Rensselaer Polytechnic Institute, 2004; B.E., Electrical Engineering, University of Madras, 2001; Research Interests: Machine Learning; Optimization; Health Informatics; RepresentativePublications: Navdeep Kaur, Gautam Kunapuli, Tushar Khot, William Cohen, Kristian Kersting and Sriraam Natarajan. Relational Restricted Boltzmann Machines: A Probabilistic Logic Learning Approach, The 27th International Conference on Inductive Logic Programming (ILP), 2017.; Shuo Yang, Tushar Khot, Kristian Kersting, Gautam Kunapuli, Kris Hauser and Sriraam Natarajan. Learning from Imbalanced Data in Relational Domains: A Soft Margin Approach, The IEEE International Conference on Data Mining series (ICDM), 2014.; Gautam Kunapuli, Phillip Odom, Jude Shavlik and Sriraam Natarajan, Guiding Autonomous Agents to Better Behaviors through Human Advice, IEEE International Conference on Data Mining (ICDM), 2013.; Gautam Kunapuli and Jude W. Shavlik. Mirror Descent for Metric Learning: A Unified Approach. European Conference on Machine Learning, The European Conference on Machine Learning (ECML), 2012.; Gautam Kunapuli, Kristin P. Bennett, Jing Hu and Jong-Shi Pang. Bilevel Model Selection for Support Vector Machines. CRM Proceedings and Lecture Notes. Volume 45 (2008), pp. 129-158. American Mathematical Society. Pierre Hansen and Panos Pardolos, Editors.; diff --git a/src/data/compiled_bios/3630.txt b/src/data/compiled_bios/3630.txt new file mode 100644 index 0000000000..e1e9cdda5f --- /dev/null +++ b/src/data/compiled_bios/3630.txt @@ -0,0 +1 @@ + Bing Liu, PhD Distinguished Professor312-355-1318 liub@cs.uic.edu Qualifications:Ph.D., University of Edinburgh, 1989Contact Information:Department of Computer Science, 851 S. Morgan (M/C 152) Room 1120 SEO Chicago, IL 60607-7053Office:3-190 C, Daley LibraryView full profileResearch Interests: Data mining and knowledge discovery, Web and text mining, Bioinformatics diff --git a/src/data/compiled_bios/3631.txt b/src/data/compiled_bios/3631.txt new file mode 100644 index 0000000000..3bc1718d59 --- /dev/null +++ b/src/data/compiled_bios/3631.txt @@ -0,0 +1 @@ +312-996-2672 mansky1@uic.edu Qualifications:Ph.D., Computer Science, University of Illinois, Urbana-ChampaignContact Information:Department of Computer Science, 851 S. Morgan (M/C 152) Room 1120 SEO Chicago, IL 60607-7053Office: 1331 SEOVisit Profile PageResearch Interests: Program Verification, Concurrency, Interactive Theorem Proving diff --git a/src/data/compiled_bios/3632.txt b/src/data/compiled_bios/3632.txt new file mode 100644 index 0000000000..e6a8a52fcc --- /dev/null +++ b/src/data/compiled_bios/3632.txt @@ -0,0 +1 @@ + G. Elisabeta Marai, PhD Associate Professor312-996-5941 gmarai@uic.edu Qualifications:Ph.D., Brown University, 2007Contact Information:Department of Computer Science, 851 S. Morgan (M/C 152) Room 1120 SEO Chicago, IL 60607-7053Office:932 SEOView full profileResearch Interests: Scientific visualization, geometric modeling, medical imaging diff --git a/src/data/compiled_bios/3633.txt b/src/data/compiled_bios/3633.txt new file mode 100644 index 0000000000..687addab2c --- /dev/null +++ b/src/data/compiled_bios/3633.txt @@ -0,0 +1 @@ + Evan McCarty Lecturer312-996-3082 emccarty@uic.edu Qualifications:MS, Computer Science,Rensselaer Polytechnic InstituteContact Information:Department of Computer Science, 851 S. Morgan (M/C 152) Room 1120 SEO Chicago, IL 60607-7053Office: 931 SEOResearch Interests: Design and analysis of randomized algorithms, computational game theory, machine learning diff --git a/src/data/compiled_bios/3634.txt b/src/data/compiled_bios/3634.txt new file mode 100644 index 0000000000..e7a6552328 --- /dev/null +++ b/src/data/compiled_bios/3634.txt @@ -0,0 +1 @@ + Nasim Mobasheri, PhD Clinical Assistant Professor312-996-3416 nmobas2@uic.edu Qualifications:Ph.D.,Computer Science, UICContact Information:Department of Computer Science, 851 S. Morgan (M/C 152) Room 1120 SEO Chicago, IL 60607-7053Office: 1218 SEOResearch Interests: Network Science, Algorithms, Data Science diff --git a/src/data/compiled_bios/3635.txt b/src/data/compiled_bios/3635.txt new file mode 100644 index 0000000000..880f61883a --- /dev/null +++ b/src/data/compiled_bios/3635.txt @@ -0,0 +1 @@ + Peter Nelson, PhD Dean312-996-3259 nelson@uic.edu Qualifications:Ph.D., Northwestern University, 1988Contact Information:Department of Computer Science, 851 S. Morgan (M/C 152) Room 1120 SEO Chicago, IL 60607-7053Office:838 SEOView full profileResearch Interests: Artificial intelligence, intelligent transportation systems, manufacturing optimization, high-availability clustering, heuristic searchResearch Laboratory: Artificial intelligence diff --git a/src/data/compiled_bios/3636.txt b/src/data/compiled_bios/3636.txt new file mode 100644 index 0000000000..5e743773f5 --- /dev/null +++ b/src/data/compiled_bios/3636.txt @@ -0,0 +1 @@ + Natalie Parde, PhD Assistant Professor312-995-1310 parde@uic.edu Qualifications:Ph.D., Computer Science and Engineering, University of North TexasContact Information:Department of Computer Science, 851 S. Morgan (M/C 152) Room 1120 SEO Chicago, IL 60607-7053Office: 1132 SEOVisit Personal WebsiteResearch Interests: Natural Language Processing, Dialogue Systems, Grounded Language Learning, Social Robotics, and Educational and Healthcare Applications of AI diff --git a/src/data/compiled_bios/3637.txt b/src/data/compiled_bios/3637.txt new file mode 100644 index 0000000000..ada06f843f --- /dev/null +++ b/src/data/compiled_bios/3637.txt @@ -0,0 +1 @@ + Jason Polakis, PhD Assistant Professor312-413-2442 polakis@uic.edu Qualifications:Ph.D., University of Crete, Greece, 2014Contact Information:Department of Computer Science, 851 S. Morgan (M/C 152) Room 1120 SEO Chicago, IL 60607-7053Office:1239 SEOView full profileResearch Interests: Security and privacy diff --git a/src/data/compiled_bios/3638.txt b/src/data/compiled_bios/3638.txt new file mode 100644 index 0000000000..6710461c63 --- /dev/null +++ b/src/data/compiled_bios/3638.txt @@ -0,0 +1 @@ + Shanon Reckinger, PhD Clinical Assistant Professor312-996-2647 shanon@uic.edu Qualifications:Ph.D., Mechanical Engineering, University of Colorado at BoulderContact Information:Department of Computer Science, 851 S. Morgan (M/C 152) Room 1120 SEO Chicago, IL 60607-7053Office: 933 SEOVisit Personal WebsiteResearch Interests: Computer Science Education, Numerical Methods, Computational Fluid Dynamics, Ocean Modeling diff --git a/src/data/compiled_bios/3639.txt b/src/data/compiled_bios/3639.txt new file mode 100644 index 0000000000..fbdac8bf36 --- /dev/null +++ b/src/data/compiled_bios/3639.txt @@ -0,0 +1 @@ + Scott Reckinger, PhD Clinical Assistant Professor312-996-2647 scotreck@uic.edu Qualifications:Ph.D., Mechanical Engineering, University of Colorado at BoulderContact Information:Department of Computer Science, 851 S. Morgan (M/C 152) Room 1120 SEO Chicago, IL 60607-7053Office: 1237 SEOResearch Interests: Computational Fluid Dynamics, Hydrodynamic Instabilities, Turbulence, Ocean Modeling diff --git a/src/data/compiled_bios/364.txt b/src/data/compiled_bios/364.txt new file mode 100644 index 0000000000..1f1ba23051 --- /dev/null +++ b/src/data/compiled_bios/364.txt @@ -0,0 +1 @@ +Name: Le, Khiem:: Position: Senior Lecturer:: Degrees: Ph.D., Computer Engineering, University of Southern California; Research Interests: Wireless and Mobile Networks; Performance Evaluation and Optimization of Internet Applications over Wireless Networks; Mobile Broadband; Major Honors and Awards: Winner of the Nokia Quality Award in Research from the Nokias CEO; Holder of more than 50 granted US patents: http://tinyurl.com/Khiem-Le-patents, some of which are adopted in 4G LTE systems; RepresentativePublications: Khiem Le, Major Trends in Cellular Networks and Corresponding Optimization Issues chapter in the Wireless Network Design: Optimization Models and Solution Procedures book, Springer Verlag, 2011.; Yogesh Swami, Khiem Le, Shashikant Maheshwari, Naveen Kakani, Cross-Layer Optimization of Transport Protocols over Wireless Networks, Proceedings of the International Symposium on Wireless Pervasive Computing (ISWPC), 2008.; diff --git a/src/data/compiled_bios/3640.txt b/src/data/compiled_bios/3640.txt new file mode 100644 index 0000000000..21ea9a6c25 --- /dev/null +++ b/src/data/compiled_bios/3640.txt @@ -0,0 +1 @@ + Dale Reed, PhD Clinical Professor and Director of Undergraduate Recruitment312-413-9478 reed@cs.uic.edu Qualifications:Ph.D., Northwestern University, 1995Contact Information:Department of Computer Science, 851 S. Morgan (M/C 152) Room 1120 SEO Chicago, IL 60607-7053Office:917 SEOView full profileResearch Interests: Uses of technology in education, artificial intelligence diff --git a/src/data/compiled_bios/3641.txt b/src/data/compiled_bios/3641.txt new file mode 100644 index 0000000000..6e4c2ede50 --- /dev/null +++ b/src/data/compiled_bios/3641.txt @@ -0,0 +1 @@ + Luc Renambot, PhD Associate Research Professor312-996-3002 luc@evl.uic.edu Qualifications:Ph.D., Universit de Rennes, 2000Contact Information:Department of Computer Science, 851 S. Morgan (M/C 152) Room 1120 SEO Chicago, IL 60607-7053Office:2032 ERFView full profileResearch Interests: Tele-immersion, visualization, advanced networking diff --git a/src/data/compiled_bios/3642.txt b/src/data/compiled_bios/3642.txt new file mode 100644 index 0000000000..435b3a4274 --- /dev/null +++ b/src/data/compiled_bios/3642.txt @@ -0,0 +1 @@ + Anastasios Sidiropoulos, PhD Assistant Professor sidiropo@uic.edu Qualifications:Ph.D., Massachussets Institue of TechnologyContact Information:Department of Computer Science, 851 S. Morgan (M/C 152) Room 1120 SEO Chicago, IL 60607-7053Office: 1240 SEOView full profile diff --git a/src/data/compiled_bios/3643.txt b/src/data/compiled_bios/3643.txt new file mode 100644 index 0000000000..2f2b4fbbc6 --- /dev/null +++ b/src/data/compiled_bios/3643.txt @@ -0,0 +1 @@ + Prasad Sistla, PhD Professor312-996-8779 sistla@cs.uic.edu Qualifications:Ph.D., Harvard University, 1983Contact Information:Department of Computer Science, 851 S. Morgan (M/C 152) Room 1120 SEO Chicago, IL 60607-7053Office:1100 SEOView full profileResearch Interests: Formal methods in concurrent and distributed systems, semantics and verification of concurrent programs, database management systems diff --git a/src/data/compiled_bios/3644.txt b/src/data/compiled_bios/3644.txt new file mode 100644 index 0000000000..4c9dbc2762 --- /dev/null +++ b/src/data/compiled_bios/3644.txt @@ -0,0 +1 @@ + Robert Sloan, PhD Professor and Department Head312-996-2369 sloan@uic.edu Qualifications:Ph.D., Massachusetts Institute of Technology, 1989Contact Information:Department of Computer Science, 851 S. Morgan (M/C 152) Room 1120 SEO Chicago, IL 60607-7053Office:1112 SEOView full profileResearch Interests: Algorithms and complexity theory, especially applied to artificial intelligence problems, security, computer science education diff --git a/src/data/compiled_bios/3645.txt b/src/data/compiled_bios/3645.txt new file mode 100644 index 0000000000..924f04adb5 --- /dev/null +++ b/src/data/compiled_bios/3645.txt @@ -0,0 +1 @@ + Jon Solworth, PhD Associate Professor312-996-0955 solworth@cs.uic.edu Qualifications:Ph.D., New York University, 1987Contact Information:Department of Computer Science, 851 S. Morgan (M/C 152) Room 1120 SEO Chicago, IL 60607-7053Office:4224B SELView full profileResearch Interests: Computer Systems Security, Networking, Operating Systems, and Distributed Systems diff --git a/src/data/compiled_bios/3646.txt b/src/data/compiled_bios/3646.txt new file mode 100644 index 0000000000..0793030840 --- /dev/null +++ b/src/data/compiled_bios/3646.txt @@ -0,0 +1 @@ + Brent Stephens, PhD Assistant Professor312-996-2666 brents@uic.edu Qualifications:Ph.D.,Computer Science, Rice UniversityContact Information:Department of Computer Science, 851 S. Morgan (M/C 152) Room 1120 SEO Chicago, IL 60607-7053Office: 1330 SEOVisit Profile PageResearch Interests: Data Centers, Networking, Operating Systems diff --git a/src/data/compiled_bios/3647.txt b/src/data/compiled_bios/3647.txt new file mode 100644 index 0000000000..cb1ad530f2 --- /dev/null +++ b/src/data/compiled_bios/3647.txt @@ -0,0 +1 @@ +312-996-3476 xiaorui@uic.edu Qualifications:Ph.D., Computer Science, Columbia University, NYContact Information:Department of Computer Science, 851 S. Morgan (M/C 152) Room 1120 SEO Chicago, IL 60607-7053Office: 1241SEOVisit Profile PageResearch Interests: Design and analysis of algorithms with an emphasis on big data processing, including algorithmic graph theory, massively parallel computing and machine learning theory diff --git a/src/data/compiled_bios/3648.txt b/src/data/compiled_bios/3648.txt new file mode 100644 index 0000000000..6677906e55 --- /dev/null +++ b/src/data/compiled_bios/3648.txt @@ -0,0 +1 @@ + Mitchell Theys, PhD Clinical Associate Professor312-413-9267 mtheys@uic.edu Qualifications:Ph.D., Purdue University, 1999Contact Information:Department of Computer Science, 851 S. Morgan (M/C 152) Room 1120 SEO Chicago, IL 60607-7053Office:941 SEOView full profileResearch Interests: Heterogeneous computing, GPGPU programming, Parallel Processing diff --git a/src/data/compiled_bios/3649.txt b/src/data/compiled_bios/3649.txt new file mode 100644 index 0000000000..2cfab2951d --- /dev/null +++ b/src/data/compiled_bios/3649.txt @@ -0,0 +1 @@ + Patrick Troy Clinical Associate Professor312-996-8521 troy@cs.uic.edu Qualifications:M.S., Pennsylvania State University, 1990Contact Information:Department of Computer Science, 851 S. Morgan (M/C 152) Room 1120 SEO Chicago, IL 60607-7053Office:919 SEOView full profileResearch Interests: Computer science education diff --git a/src/data/compiled_bios/365.txt b/src/data/compiled_bios/365.txt new file mode 100644 index 0000000000..d6ff2cb902 --- /dev/null +++ b/src/data/compiled_bios/365.txt @@ -0,0 +1 @@ +Name: Lin, Zhiqiang:: Position: Adjunct Faculty:: Degrees: Ph.D., Purdue University; Research Interests: Systems security; Program analysis; Cloud computing; Major Honors and Awards: AFOSR YIP Award; Representative Publications: HyperShell: A Practical Hypervisor Layer Guest OS Shell for Automated In-VM Management. Yangchun Fu, Junyuan Zeng, and Zhiqiang Lin. InProceedings of the 2014 USENIX Annual Technical Conference, Philadephia, PA, June 2014.; Hybrid-Bridge: Efficiently Bridging the Semantic-Gap in Virtual Machine Introspection via Decoupled Execution and Training Memoization. Alireza Saberi, Yangchun Fu, and Zhiqiang Lin. InProceedings of the 21st ISOC Network and Distributed System Security Symposium, San Diego, CA, February 2014.; SMV-Hunter: Large Scale, Automated Detection of SSL/TLS Man-in-the-Middle Vulnerabilities in Android Apps. David Sounthiraraj, Justin Sahs, Garrett Greenwood, Zhiqiang Lin, and Latifur Khan. InProceedings of the 21st ISOC Network and Distributed System Security Symposium, San Diego, CA, February 2014.; Obfuscation-resilient Binary Code Reuse through Trace-oriented Programming. Junyuan Zeng, Yangchun Fu, Kenneth Miller, Zhiqiang Lin, Xiangyu Zhang, and Dongyan Xu. InProceedings of the 20th ACM Conference on Computer and Communications Security, Berlin, Germany, November 2013.; Space Traveling across VM: Automatically Bridging the Semantic Gap in Virtual Machine Introspection via Online Kernel Data Redirection. Yangchun Fu, and Zhiqiang Lin. InProceedings of the 33rd IEEE Symposium on Security and Privacy, San Fransisco, CA, May 2012.; diff --git a/src/data/compiled_bios/3650.txt b/src/data/compiled_bios/3650.txt new file mode 100644 index 0000000000..5153e6fd2c --- /dev/null +++ b/src/data/compiled_bios/3650.txt @@ -0,0 +1 @@ + Balajee Vamanan, PhD Assistant Professor312-413-2424 bvamanan@uic.edu Qualifications:Ph.D., Purdue UniversityContact Information:Department of Computer Science, 851 S. Morgan (M/C 152) Room 1120 SEO Chicago, IL 60607-7053Office:1310 SEOView full profileResearch Interests: Datacenter Networking, Network and Architecture support for low-latency applications, Network Hardware diff --git a/src/data/compiled_bios/3651.txt b/src/data/compiled_bios/3651.txt new file mode 100644 index 0000000000..788b82e008 --- /dev/null +++ b/src/data/compiled_bios/3651.txt @@ -0,0 +1 @@ + V. N. Venkatakrishnan, PhD Professor312-996-4860 venkat@cs.uic.edu Qualifications:Ph.D., Stony Brook University, 2004Contact Information:Department of Computer Science, 851 S. Morgan (M/C 152) Room 1120 SEO Chicago, IL 60607-7053Office:1131 SEOOffice:812 SEOView full profileResearch Interests: Computer security, network securityResearch Lab:Systems & Internet Security Lab (SISL) diff --git a/src/data/compiled_bios/3652.txt b/src/data/compiled_bios/3652.txt new file mode 100644 index 0000000000..5bedab9e31 --- /dev/null +++ b/src/data/compiled_bios/3652.txt @@ -0,0 +1 @@ + Ouri Wolfson, PhD Richard and Loan Hill Professor312-996-6770 wolfson@cs.uic.edu Qualifications:Ph.D., New York University, 1984Contact Information:Department of Computer Science, 851 S. Morgan (M/C 152) Room 1120 SEO Chicago, IL 60607-7053Office:1137 SEOView full profileResearch Interests: Database systems, distributed systems, transaction processing, mobile computing diff --git a/src/data/compiled_bios/3653.txt b/src/data/compiled_bios/3653.txt new file mode 100644 index 0000000000..3f7be5ad75 --- /dev/null +++ b/src/data/compiled_bios/3653.txt @@ -0,0 +1 @@ + Xingbo Wu, PhD Assistant Professor312-996-2664 Qualifications:Ph.D., Computer Engineering, University of Texas at Arlington (June 2018)Contact Information:Department of Computer Science, 851 S. Morgan (M/C 152) Room 1120 SEO Chicago, IL 60607-7053Office:1338 SEOView full profileResearch Interests:Computer systems, key-value systems, memory and storage, OS, and virtualization diff --git a/src/data/compiled_bios/3654.txt b/src/data/compiled_bios/3654.txt new file mode 100644 index 0000000000..ccc2a822f1 --- /dev/null +++ b/src/data/compiled_bios/3654.txt @@ -0,0 +1 @@ + Philip S. Yu, PhD Distinguished Professor and Wexler Chair in Information Technology312-996-0498 psyu@cs.uic.edu Qualifications:Ph.D., Stanford University, 1978Contact Information:Department of Computer Science, 851 S. Morgan (M/C 152) Room 1120 SEO Chicago, IL 60607-7053Office:3-190 B, Daley LibraryView full profileResearch Interests: Data mining, database, social networks and web diff --git a/src/data/compiled_bios/3655.txt b/src/data/compiled_bios/3655.txt new file mode 100644 index 0000000000..99d0b52f37 --- /dev/null +++ b/src/data/compiled_bios/3655.txt @@ -0,0 +1 @@ + Xinhua Zhang, PhD Assistant Professor312-413-2416 zhangx@uic.edu Qualifications:Ph.D., Australian National University, 2010Contact Information:Department of Computer Science, 851 S. Morgan (M/C 152) Room 1120 SEO Chicago, IL 60607-7053Office:3-190 G, Daley LibraryView full profileResearch Interests: Statistical machine learning, convex optimization and modeling diff --git a/src/data/compiled_bios/3656.txt b/src/data/compiled_bios/3656.txt new file mode 100644 index 0000000000..4f569d8233 --- /dev/null +++ b/src/data/compiled_bios/3656.txt @@ -0,0 +1 @@ + Elena Zheleva, PhD Assistant Professor ezheleva@uic.edu Qualifications:Ph.D., University of Maryland, 2011Contact Information:Department of Computer Science, 851 S. Morgan (M/C 152) Room 1120 SEO Chicago, IL 60607-7053Office: 1140 SEOView full profileResearch Interests: Data science, machine learning, causal inference, graph mining, network science, and privacy diff --git a/src/data/compiled_bios/3657.txt b/src/data/compiled_bios/3657.txt new file mode 100644 index 0000000000..d9c03026c9 --- /dev/null +++ b/src/data/compiled_bios/3657.txt @@ -0,0 +1 @@ + Brian Ziebart, PhD Associate Professor312-355-1733 bziebart@uic.edu Qualifications:Ph.D., Carnegie Mellon University, 2010Contact Information:Department of Computer Science, 851 S. Morgan (M/C 152) Room 1120 SEO Chicago, IL 60607-7053Office:3-190 H, Daley LibraryView full profileResearch Interests: Statistical machine learning, robotics, artificial intelligence, assistive technologies diff --git a/src/data/compiled_bios/3658.txt b/src/data/compiled_bios/3658.txt new file mode 100644 index 0000000000..d576c0d6d6 --- /dev/null +++ b/src/data/compiled_bios/3658.txt @@ -0,0 +1 @@ + Lenore Zuck, PhD Research Professor312-355-1339 zuck@uic.edu Qualifications:Ph.D., Weizmann Institute of Science, 1987Contact Information:Department of Computer Science, 851 S. Morgan (M/C 152) Room 1120 SEO Chicago, IL 60607-7053Office: 1228 SEL-WView full profileResearch Interests: Theorem proving, formal methods, translation validation, formal analysis of security protocols diff --git a/src/data/compiled_bios/3659.txt b/src/data/compiled_bios/3659.txt new file mode 100644 index 0000000000..b08579017f --- /dev/null +++ b/src/data/compiled_bios/3659.txt @@ -0,0 +1 @@ + Matthew Berger Assistant Professor Vanderbilt University, Department of Electrical Engineering and Computer Science Office: Jacobs Hall 379 Phone: (615)-343-2016 Email: matthew.berger@vanderbilt.edu About Me I am an assistant professor in the Department of Electrical Engineering and Computer Science at Vanderbilt University . I was previously a postdoc at the University of Arizona , advised by Prof. Joshua A. Levine . Before that, I was a researcher with the Air Force Research Laboratory. I received my PhD in Computing from the University of Utah , where my advisor was Claudio T. Silva , and did my MS and undergrad in Computer Science at Binghamton University . Research Interests My research is in the area of data visualization. I develop techniques that help people visually explore and make sense of large and complex data. I am particuarly interested in leveraging and developing machine learning techniques for this purpose. My research considers what can be learned from all aspects of visualization, such as data, visual encodings, and user interactions, in order to improve the process of visual exploration. Update. I am actively looking for PhD students and postdocs. If you are interested in visualization or machine learning please feel free to contact me. Publications Zhe Wang, Dylan Cashman, Mingwei Li, Jixian Li, Matthew Berger, Joshua A. Levine, Remco Chang, Carlos Scheidegger NNCubes: Learned Structures for Visual Data Exploration arXiv, 2018 ( arxiv ) Matthew Berger, Ajay Nagesh, Joshua A. Levine, Mihai Surdeanu, Helen Zhang Visual Supervision in Bootstrapped Information Extraction EMNLP, 2018 ( pdf ) ( poster ) ( supplemental ) Matthew Berger, Jixian Li, Joshua A. Levine A Generative Model for Volume Rendering IEEE TVCG (to appear), 2018 ( arxiv ) ( video ) ( project ) Christopher J. Tralie, Matthew Berger Topological Eulerian Synthesis of Slow Motion Periodic Videos ICIP, 2018 ( pdf ) ( project ) Matthew Berger, Joshua A. Levine Visualizing Time-Varying Particle Flows with Diffusion Geometry arXiv, 2017 ( arxiv ) ( video ) Matthew Berger, Andrea Tagliasacchi, Lee M. Seversky, Pierre Alliez, Gael Guennebaud, Joshua A. Levine, Andrei Sharf, Claudio T. Silva A Survey of Surface Reconstruction from Point Clouds Computer Graphics Forum (extended version of STAR), 2017 ( pdf ) Matthew Berger, Katherine McDonough, Lee M. Seversky cite2vec: Citation-Driven Document Exploration via Word Embeddings IEEE Infovis, 2016 ( pdf ) ( video ) Lee M. Seversky, Shelby Davis, Matthew Berger On Time-Series Topological Data Analysis: New Data and Opportunities CVPR Workshop on Differential Geometry in Computer Vision and Machine Learning, 2016 ( pdf ) ( project ) Matthew Berger, Lucas Magee, Eric Heim, Lee M. Seversky Spatial Active Learning for Cost-Effective Sensing and Feature Extraction ICML Workshop in Data-Efficient Machine Learning, 2016 ( pdf ) Matthew Berger, Lee M. Seversky, Daniel S. Brown Classifying Swarm Behavior via Compressive Subspace Learning ICRA, 2016 ( pdf ) Eric Heim, Matthew Berger, Lee M. Seversky, Milos Hauskrecht Efficient Online Relative Comparison Kernel Learning SDM, 2015 ( pdf ) Pengzhi Gao, Meng Wang, Joe H. Chow, Matthew Berger, Lee M. Seversky Matrix Completion with Columns in Union and Sums of Subspaces GlobalSIP, 2015 ( pdf ) Matthew Berger, Lee M. Seversky Subspace Tracking Under Dynamic Dimensionality for Online Background Subtraction CVPR, 2014 ( pdf ) Matthew Berger, Andrea Tagliasacchi, Lee M. Seversky, Pierre Alliez, Joshua A. Levine, Andrei Sharf, Claudio T. Silva State of the Art in Surface Reconstruction from Point Clouds Eurographics (State of the Art Reports), 2014 ( pdf ) ( project ) Esdras Medeiros, Harish Doraiswamy, Matthew Berger, Claudio T. Silva Using Physically Based Rendering to Benchmark Structured Light Scanners Pacific Graphics, 2014 ( pdf ) Matthew Berger, Joshua A. Levine, Luis Gustavo Nonato, Gabriel Taubin, Claudio T. Silva A Benchmark for Surface Reconstruction ACM Transactions on Graphics, 2013 ( pdf ) ( project ) Matthew Berger, Claudio T. Silva Nonrigid Matching of Undersampled Shapes via Medial Diffusion Symposium on Geometry Processing, 2012 ( pdf ) Matthew Berger, Claudio T. Silva Medial Kernels Eurographics, 2012 ( pdf ) Lee M. Seversky, Matthew Berger, Lijun Yin Harmonic Point Cloud Orientation Shape Modeling International, 2011 ( doi ) Matthew Berger, Luis Gustavo Nonato, Valerio Pascucci, Claudio T. Silva Fiedler Trees for Multiscale Surface Analysis Shape Modeling International, 2010 ( pdf ) Teaching Introduction to Visualization CS3891.06/5891.06 ( Fall 2018 ) Visual Analytics & Machine Learning CS8395.03 ( Spring 2019 ) diff --git a/src/data/compiled_bios/366.txt b/src/data/compiled_bios/366.txt new file mode 100644 index 0000000000..344fc3b655 --- /dev/null +++ b/src/data/compiled_bios/366.txt @@ -0,0 +1 @@ +Name: Liu, Cong:: Position: Assistant Professor(CS, CE, & TE):: Degrees: Ph.D., the University of North Carolina at Chapel Hill; Research Interests: Real-Time and Embedded Systems; Cyber-Physical Systems; Mobile and Cloud Computing; Major Honors and Awards: Best Student Paper Award, the 30th RTSS; Best Papers, the 18th RTCSA; NSFFaculty Early Career Development (CAREER) Award 2018; RepresentativePublications: Jianjia Chen and Cong Liu, Fixed-Relative-Deadline Scheduling of Hard Real-Time Tasks with Self-Suspensions, Proceedings of the 35th IEEE Real-Time Systems Symposium (RTSS), 2014.; Cong Liu and Jianjia Chen, Bursty-Interference Analysis Techniques for Analyzing Complex Real-Time Task Models, Proceedings of the 35th IEEE Real-Time Systems Symposium (RTSS), 2014.; Guangmo Tong and Cong Liu, Supporting Read/Write Applications in Embedded Systems via I/O placement and suspension-aware analysis, Proceedings of the 14 ACM International Conference on Embedded Software (EMSOFT), 2014.; Husheng Zhou and Cong Liu, Task Mapping in Heterogeneous Embedded Systems for Fast Completion Time, Proceedings of the 14 ACM International Conference on Embedded Software (EMSOFT), 2014.; Cong Liuand James Anderson.Task Scheduling with Self-Suspensions in Soft Real-Time Multiprocessor Systems,Proceedings of the 30th IEEE Real-Time Systems Symposium (RTSS), 2009.[Winner: Best Student Paper Award].; diff --git a/src/data/compiled_bios/3660.txt b/src/data/compiled_bios/3660.txt new file mode 100644 index 0000000000..6a392aada6 --- /dev/null +++ b/src/data/compiled_bios/3660.txt @@ -0,0 +1 @@ + Bharat Bhuva Professor of Electrical Engineering Professor of Computer Engineering Electrical Engineering and Computer Science Intellectual Neighborhoods Nano Science and Technology Risk and Reliability Cyber-physical Systems Research Focus Computer aided design tools, radiation effects on integrated circuits, modeling of semiconductor devices and fabrication processes, and VLSI design AddThis Sharing Buttons Share to Twitter Twitter Share to Facebook Facebook Share to LinkedIn LinkedIn Share to Reddit Reddit Share to Email Email Share to PrintFriendly PrintFriendly Share to More AddThis : diff --git a/src/data/compiled_bios/3661.txt b/src/data/compiled_bios/3661.txt new file mode 100644 index 0000000000..b6ebf1d5db --- /dev/null +++ b/src/data/compiled_bios/3661.txt @@ -0,0 +1 @@ + Gautam Biswas Cornelius Vanderbilt Professor, Computer Science and Computer Engineering, Electrical Engineering and Computer Science Department , Senior Research Scientist, Institute for Software Integrated Systems (ISIS) Lead, Vanderbilt Initiative for Smart Cities Operations and Research (VISOR) Fellow, IEEE , PHM (Prognostics and Health Management) Society Education B. Tech. in Electrical Engineering, Indian Institute of Technology , Bombay, 1977. M.S. in Computer Science, Michigan State University , E. Lansing, 1980. Ph.D. in Computer Science, Michigan State University , E. Lansing, 1983. Research Modeling and Analysis of Complex Systems (Model- and Data-driven methods for Diagnostics, Prognostics & Fault Adaptive Control) Recent Papers Open Ended Learning Environments (Betty's Brain SimSelf, CTSiM, C2STEM, Learner Modeling and Adaptivity, Synergistic STEM+C learning, Metacognition and Learning, Learning Analytics & Educational Data Mining) Recent Papers Intelligent Learning Environments and Cognitive Science (old) Knowledge Discovery from Databases (old) Intelligent Manufacturing (old) Teaching Advanced Artificial Intelligence -- CS 6360 (Spring 2017; prev: Fall 2014, Spring 2016) Introduction to Artificial Intelligence -- CS 4260 and CS 5260 (Fall 2016) Intelligent Learning Environments -- CS 6364 (Fall 2015) (Taught in alternate Spring semesters) Modeling and Simulation -- CS 274 (Spring 2015, Spring 2018) (Taught in alternate Spring semesters) Embedded and Hybrid Systems -- CS 376 (Fall 2010, 2011, 2012) Model-Based Diagnosis -- CS 386 (Spring 2013) (Taught every 2-3 years) Recent Awards NASA 2011 Aeronautics Research Mission Directorate Technology and Innovation Group Award for Vehicle Level Reasoning System (VLRS) -- jointly with Honeywell Tech Center Researchers Vanderbilt Team Contributions: Data Mining approaches to Augment Diagnostics Reference Models Best Paper Award: 5th International Conference on Educational Data Mining , 2012 Chania, Greece: Identifying Learning Behaviors by Contextualizing Differential Sequence Mining with Action Features and Performance Evolution. Best Student Paper Award: 20 th International Conference on Computers in Education, Singapore, 2012: A Science Learning Environment using a Computational Thinking Approach. Best Paper Award: Annual Conference of the Prognostics and Health Management Society (PHM 2012) , Minneapolis, MN: Bayesian Framework Approach for Prognostic Studies in Electrolytic Capacitor under Thermal Overstress Conditions. Best Student Paper Award: American Institute of Aeronautics and Astronautics, AIAA Infotech@Aerospace Conference 2012, Garden Grove, CA: Prognostics Health Management and Physics based failure Models for Electrolytic Capacitors. Best Paper Award: Annual Conference of the Prognostics and Health Management Society(PHM 2011) Montreal, Canada: A Model-based Prognostics Methodology for Electrolytic Capacitors Based on Electrical Overstress Accelerated Aging. Best Student Paper Award: IEEE AUTOTESTCON 2010, Orlando, FL: Integrated Diagnostic/Prognostic Experimental Setup for Capacitor Degradation and Health Monitoring. Resume Complete Vita (.pdf file) Personal He is married to Sujata Biswas, a special education teacher, and they have two children, Pallavi and Nishant. Office EECS Dept. Jacobs Hall, Room 366 VUSE-ISIS Building, Room 401D Box 1824 Sta B 400 24th Avenue South 1025 16th Avenue South Vanderbilt University Vanderbilt University Vanderbilt University Nashville, TN 37325 Nashville, TN 37212 Nashville, TN 37212 Voice: (615) 343-6204 Fax: (615) 343-7440 Email: gautam.biswas AT vanderbilt.edu diff --git a/src/data/compiled_bios/3662.txt b/src/data/compiled_bios/3662.txt new file mode 100644 index 0000000000..e795b8d89a --- /dev/null +++ b/src/data/compiled_bios/3662.txt @@ -0,0 +1 @@ + Home Research Publications Teaching Vita Students Personal I am an associate professor in the Department of Electrical Engineering and Computer Science at Vanderbilt University . I am generally interested in most areas of computer graphics and computer animation, but I am particularly focused on human figure animation. More details can be found on the Research Page . Information for Prospective Graduate Students. Contact Information: Electrical Engineering and Computer Science Vanderbilt University VU Station B #351679 2301 Vanderbilt Place Nashville, TN 37235-1679 Office: 368 Jacobs Hall Phone: (615)322-3555 Fax: (615)343-5459 E-mail: Web: http://www.vuse.vanderbilt.edu/~bobbyb/ Shipping Address (for packages and things that don't like P.O. Boxes): Room 368, Jacobs Hall Department of Electrical Engineering and Computer Science 400 24th Avenue South Vanderbilt University Nashville, TN 37212 Home Research Publications Teaching Vita Students Personal diff --git a/src/data/compiled_bios/3663.txt b/src/data/compiled_bios/3663.txt new file mode 100644 index 0000000000..61ba7901f0 --- /dev/null +++ b/src/data/compiled_bios/3663.txt @@ -0,0 +1 @@ + Neuroimaging & Brain Dynamics Group Home Research People Publications Contact Welcome! Our goal is to increase understanding ofthe human brain by advancing functional neuroimaging methodology. We develop approaches for extracting information about brain activity in health anddisease by combining neuroimaging (fMRI, EEG) and computational signal analysis techniques. Our research is highly interdisciplinary and collaborative, bridging fields such as engineering, computer science, neuroscience, psychology, and medicine. We are at Vanderbilt University in the Department of Electrical Engineering and Computer Science . We are alsoaffiliated with the Department of Biomedical Engineering , the Vanderbilt University Institute of Imaging Science (VUIIS) , the Vanderbilt Institute for Surgery and Engineering (VISE) , and the Vanderbilt Brain Institute (VBI). More information about our current research can be found here , and you can find our publications here . Postdoctoral position We are currently seeking a postdoctoral fellow with expertise in fMRI data analysis. If interested, please contact: catie.chang at vanderbilt.edu News 2018.10:Sarah Goodale receives a travel award & talk at North American Neuromodulation Society 2019 for her work inthe Englot BIEN Lab! 2018.10: Mika Rubinov and Catie present in a platform sessionat BMES 2018 ,Atlanta 2018.09: Catie presents at the 6th Biennial Conference on Resting State and Brain Connectivity in Montreal 2018.09: Special issue of Neuroimage on Brain Connectivity Dynamics is out! Guest-edited with Shella Keilholz, Robyn Miller, and Mark Woolrich 2018.08: Shengchao Zhang joins as a Ph.D. student! 2018.08: Sarah Goodalejoins as aPh.D. student! 2018.08: We are excited to join the fantastic Vanderbilt community! diff --git a/src/data/compiled_bios/3664.txt b/src/data/compiled_bios/3664.txt new file mode 100644 index 0000000000..6f03ed09e2 --- /dev/null +++ b/src/data/compiled_bios/3664.txt @@ -0,0 +1 @@ + Benoit Dawant Professor of Electrical Engineering Cornelius Vanderbilt Professor of Engineering Professor of Biomedical Engineering Professor of Radiology and Radiological Sciences Director, Vanderbilt Institute for Surgery and Engineering (VISE) Electrical Engineering and Computer Science Biomedical Engineering (secondary) Intellectual Neighborhoods Big Data Science and Engineering Surgery and Engineering Research Focus Medical image processing and analysis, image registration, image segmentation, image-guided surgery. Biography Benoit M. Dawant received the M.S.E.E. degree from the University of Louvain, Leuven, Belgium, in 1983, and the Ph.D. degree from the University of Houston, Houston, TX, in 1988. Since 1988, he has been with the Faculty of the Electrical Engineering and Computer Science Department, Vanderbilt University, Nashville, TN, where he is currently a Professor. His main research interests include medical image processing and analysis. Current projects include the development of algorithms and systems to assist in the placement of deep brain stimulators used for the treatment of Parkinsons disease and other movement disorders, the placement of cochlear implants used to treat hearing disorders, or the creation of radiation therapy plans for the treatment of cancer. The work of his group in the area of DBS has been featured by the National Institute of Biomedical Imaging and Bioengineering (NIBIB) on its e-advances web site ( http://www.nibib.nih.gov/HealthEdu/eAdvances/31Aug10 ). InstituteAffiliation The Vanderbilt Institute for Surgery and Engineering (VISE) is an interdisciplinary, trans-institutional entity designed to bring engineers and physicians together to impact healthcare. AddThis Sharing Buttons Share to Twitter Twitter Share to Facebook Facebook Share to LinkedIn LinkedIn Share to Reddit Reddit Share to Email Email Share to PrintFriendly PrintFriendly Share to More AddThis : diff --git a/src/data/compiled_bios/3665.txt b/src/data/compiled_bios/3665.txt new file mode 100644 index 0000000000..2993964351 --- /dev/null +++ b/src/data/compiled_bios/3665.txt @@ -0,0 +1 @@ + Abhishek Dubey teaching projects current past publications research home About Abhishek Dubey is a Senior Research Scientist at the Institute for Software Integrated Systems and an Assistant Professor in the Computer Science and Computer Engineering department at Vanderbilt University. His research interests include tools, platforms and analytical techniques required for dynamic and resilient cyber-physical platforms. Abhishek completed his PhD in Electrical Engineering from Vanderbilt University in 2009. He received his M.S. in Electrical Engineering from Vanderbilt University in August 2005 and completed his undergraduate studies in electrical engineering from the Indian Institute of Technology, Banaras Hindu University, India in May 2001. He is a senior member of IEEE. Full CV in PDF Contact Address: Institute for Software Integrated Systems Vanderbilt University 1025 16th Ave S, Suite 102 Nashville, TN 37212 Phone: +1 (615) 343-7472 Fax: +1 (615) 343-7440 Email: first dot last at vanderbilt edu Copyright 2015 by Abhishek Dubey. All rights reserved. diff --git a/src/data/compiled_bios/3666.txt b/src/data/compiled_bios/3666.txt new file mode 100644 index 0000000000..891b482350 --- /dev/null +++ b/src/data/compiled_bios/3666.txt @@ -0,0 +1 @@ + Philippe Fauchet Bruce and Bridgitt Evans Dean of Engineering Professor of Electrical Engineering Electrical Engineering and Computer Science Intellectual Neighborhoods Nano Science and Technology Research Focus Dean Fauchet's current research interests are in photonics, energy, and the semiconductor/biology interface, all using silicon-based nanoscience and nanotechnology. His group has been involved in multidisciplinary projects including silicon-based light sources and lasers; silicon photonic crystal structures for optical modulation and switching; intra-chip optical interconnects; materials science and fundamental physics of nanoscale silicon objects; electrical and optical silicon-based biosensors; in-vitro and in-vivo cell growth on nanostructured silicon; silicon nanomembranes for particle separation; betavoltaic and photovoltaic applications of nanostructured silicon. In the past, he has also worked on ultrafast phenomena in semiconductors, superconductors, and polymers, ultrafast optoelectronics, optical characterization of semiconductors, and laser-solid interactions. Biography Philippe Fauchet has more than 30 years of experience in silicon photonics, nanoscience and nanotechnology with silicon quantum dots, biosensors, electroluminescent materials and devices, and optical diagnostics. His research on porous Si and nanoscale Si, and their application to LEDs and displays, biosensors, nanoelectronic devices, solar cells, and optical interconnects has led to dozens of plenary, invited, and contributed publications, and numerous invited conference presentations and seminars in North America, Japan, and Europe. He has chaired many symposia and conferences devoted to various topics in his field of interest, and given many tutorials and short courses. In the 1980's, Fauchet was one of the originators of Princeton University's Center for Photonics and Opto-Electronic Materials. In the 1990's, he created and ran the Femtosecond Laser Facility at the University of Rochester's Center for Optoelectronics and Imaging. In 1998 he created the Center for Future Health, and in 2007 he created the Energy Research Initiative, both at Rochester. At Princeton, he received an IBM Faculty Development Award in 1985, an NSF Presidential Young Investigator Award in 1987, and an Alfred P. Sloan Research Fellowship in 1988. At Rochester, he received the 1990-1993 Prix Guibal & Devillez for his work on porous silicon. Fauchet is the author of more than 400 publications, and has edited 14 books. He is a Fellow of the Optical Society of America, the American Physical Society, the Materials Research Society, the Institute of Electrical and Electronic Engineering, the International Society for Optical Engineering (SPIE), the American Association for the Advancement of Science, the National Academy of Inventors, and serves on various boards for industrial and governmental entities. Fauchet holds numerous patents and has founded one successful startup. AddThis Sharing Buttons Share to Twitter Twitter Share to Facebook Facebook Share to LinkedIn LinkedIn Share to Reddit Reddit Share to Email Email Share to PrintFriendly PrintFriendly Share to More AddThis : diff --git a/src/data/compiled_bios/3667.txt b/src/data/compiled_bios/3667.txt new file mode 100644 index 0000000000..e07693734d --- /dev/null +++ b/src/data/compiled_bios/3667.txt @@ -0,0 +1 @@ + Douglas H. Fisher ( Partner in crime ; My Hawk ; Chancellor's Cup ; Good Deed ) Associate Professor of Computer Science Associate Professor of Computer Engineering Department of Electrical Engineering and Computer Science Vanderbilt University Nashville, TN 37235 Member of The Vanderbilt Climate Change Research Network 1-615-343-4111 Topics of popular interest Online Education Vanderbilt Institute for Digital Learning announcement ; Workshop on Multidiciplinary Research for Online Education ; Warming Up to MOOCs ; (Chronicle of Higher Education blog post); Wrapping on-campus courses around MOOCs (at about 26min into video; panel at ITHAKA S+R October 2012); Regional Sections of Massively Open Online Courses (Presentation to Coalition of Urban and Metropolitan Universities); More Bang for Your Buck (letter to the Vanderbilt student paper); My University Web pages list and give details on my recent on-campus courses with online components (https://my.vanderbilt.edu/douglasfisher/). Sustainability Recent Advances in AI for Computational Sustainability , overview of the papers of the AAAI-11 Special Track on Computational Sustainability, for the IEEE Intelligent Systems Department on AI and Sustainability. AI for Computational Sustainability Wikibook and Fisher, D., Dilkina, B., Eaton, E., Gomes, C. (2012). Incorporating Computational Sustainability into AI Education through a Freely-Available, Collectively-Composed Supplementary Lab Text Educational Advances in Artificial Intelligence. The Role of AI in Wisdom of the Crowds for the Social Construction of Knowledge on Sustainability , Maher and Fisher, AAAI Spring Symposium. Computing and AI for a Sustainable Future , inaugural article of the IEEE Intelligent Systems Department on AI and Sustainability. AAAI Spring Symposium on Artificial Intelligence and Sustainable Design . Essay on Leadership in Sustainability , Leadership in Science and Technology: A Reference Handbook. SAGE Publications, Nov. 2011. Federal Service Life as a NSF Program Director Doug's Blogs: Learning on Campus and in the Cloud is my online education blog (http://cloudandcampus.blogspot.com) Computer Science Education blog , is my blog on all things computing, but education focused (http://aicourses.blogspot.com). There are a couple of other blogs at the Blogger site as well. Publications, including papers online Graduate Students Presentations, Panels, etc. Living on campus Professional Service Education: University of California, Irvine (BS 1980; MS 1983; PhD 1987). Dissertation: Knowledge Acquisition via Incremental Conceptual Clustering. Advisor: Dennis Kibler Douglas H. Fisher diff --git a/src/data/compiled_bios/3668.txt b/src/data/compiled_bios/3668.txt new file mode 100644 index 0000000000..250a4cd97d --- /dev/null +++ b/src/data/compiled_bios/3668.txt @@ -0,0 +1 @@ + Dan Fleetwood Professor and Chair Electrical Engineering & Computer Science Department Vanderbilt University Research Group: Radiation Effects and Reliability Group/Institute for Space and Defense Electronics at Vanderbilt University Research Interests: Effects of ionizing radiation on microelectronic devices & materials. Origin(s) of 1/f noise in semiconductors, semiconductor devices, and metals. Defects, reliability, radiation response of SiC , GaN , and other compound semiconductor devices Radiation hardness assurance test methods. Charge trapping in silicon dioxide, and interface-trap generation. Radiation effects modeling and simulation. Novel microelectronic materials, including silicon-on-insulator materials. Electronics for high-radiation and high-temperature environments. Advanced microelectronic processing/characterization, including ultrathin oxides & alternative dielectrics. Thermally stimulated current methods to profile defects in insulators. Education: Ph. D., Solid State Physics, Purdue University , May 1984 M. S., Experimental Physics, Purdue University , August 1981 B. S., Physics and Applied Math, Purdue University , May 1980 Contact Information: Postal Vanderbilt University VU Station B #351824 2301 Vanderbilt Place Nashville , TN 37235 Courier Vanderbilt University 400 24 th Ave. S. Featheringill Hall, Room 254 Nashville , TN 37212 Phone (615) 322-2498 Fax (615) 343-6702 Messages Linda Koger, Jamie Harris (615) 322-2771 E-mail (Vanderbilt) dan.fleetwood@vanderbilt.edu E-mail (Home) dmfleet@aol.com Professional Memberships and Activities: Fellow, IEEE Fellow, The American Physical Society Chairman, IEEE NPSS Radiation Effects Committee Former Chair (2005), APS Forum on Industrial and Applied Physics Sigma Pi Sigma, Phi Beta Kappa International Correspondence Chess GrandMaster Honors and Awards: IEEE Nuclear and Plasma Sciences Society, Merit Award, 2009 Purdue University, Distinguished Science Alumnus, 2007 Discover Magazine (1998), R&D Magazine R&D 100 (1997) and Industry Week Technology of Year (1997) Awards, for co-invention of protonic nonvolatile field effect transistor memory (patent issued 11/3/1998). More than 20 Outstanding/Meritorious Conference Paper Awards for IEEE Conferences on Nuclear and Space Radiation Effects and Conferences on Hardened Electronics and Radiation Technology. Distinguished Member of the Technical Staff, Sandia National Laboratories, 1990-1999 Lark-Horovitz Award, Purdue University , 1984. Biographical Information Daniel M. Fleetwood received his B. S., M. S., and Ph. D. degrees in Physics from Purdue University in 1980, 1981, and 1984. Dan joined Sandia National Laboratories in Albuquerque , New Mexico , in 1984, and was named a Distinguished Member of the Technical Staff in the Radiation Technology and Assurance Department in 1990. In 1999 he accepted a position as Professor of Electrical Engineering at Vanderbilt University in Nashville , Tennessee . In 2000, he was also named a Professor of Physics, in 2001 he was appointed Associate Dean for Research of the Vanderbilt School of Engineering, and in 2003 he was named Chair of the Electrical Engineering and Computer Science Department. Dan is the author of more than 500 publications on radiation effects in microelectronics, 12 of which have been recognized with Outstanding Paper Awards. These papers have been cited more than 18,500 times (citation h factor = 76, Google Scholar). A recent review article on low frequency noise (open access) can be found at: http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7094326 . In 2009, he received the IEEE Nuclear and Plasma Sciences Societys Merit Award, which is the societys highest individual technical honor. In 1997 Dan received R&D 100 and Industry Week Magazine awards for co-invention of a new type of computer memory chip based on mobile protons in SiO 2 . This chip was also recognized as Discover Magazines 1998 Invention of the Year in computer hardware and electronics. Dan is a Fellow of both the Institute for Electrical and Electronics Engineers and The American Physical Society, and a member of ASEE, Phi Beta Kappa, and Sigma Pi Sigma. Dan was the 8th American to earn the International Correspondence Chess GrandMaster title, played Board 1 for the United States Correspondence Chess Olympics team in the 15 th Olympiad Final Board 3 in the 14 th and 18 th Olympiad finals, Board 2 in the 20 th Olympiad Final (ongoing), and finished 8th in the 18 th International Correspondence Chess Championship. It is often possible to see some of Dans current correspondence games in progress at: https://www.iccf.com/live . Full CV_Fleetwood_2018 diff --git a/src/data/compiled_bios/3669.txt b/src/data/compiled_bios/3669.txt new file mode 100644 index 0000000000..8c0948dfe2 --- /dev/null +++ b/src/data/compiled_bios/3669.txt @@ -0,0 +1 @@ + Kenneth Galloway Distinguished Professor of Engineering Professor of Electrical Engineering Electrical Engineering and Computer Science Intellectual Neighborhoods Nano Science and Technology Risk and Reliability Research Focus Solid state devices, microelectronics, reliability, radiation effects Biography Kenneth F. Galloway is a Distinguished Professor of Engineering at Vanderbilt University. An alumnus of Vanderbilt, he earned his doctorate from the University of South Carolina and went on to hold professional appointments at Indiana University, NAVSEA-Crane, the National Institute of Standards and Technology, the University of Maryland, and the University of Arizona before returning to Vanderbilt as Dean in 1996. He served as Dean of Engineering from 1996 until 2012. Dr. Galloways research and teaching activities are in solid-state devices, semiconductor technology, and radiation effects in electronics. He has published numerous technical papers in these areas and has conducted research sponsored by several U.S. Department of Defense organizations. He has served as General Chairman of the IEEE Nuclear and Space Radiation Effects Conference (NSREC) and General Chairman of the IEEE International Electron Devices Meeting (IEDM). He was a Vice President of the IEEE Electron Devices Society (2000-2005) and a member of the U.S. Air Force Scientific Advisory Board (2003-2007). For his work, Dr. Galloway has been elected a Fellow of the Institute of Electrical and Electronics Engineers (IEEE), the American Association for the Advancement of Science (AAAS), and the American Physical Society (APS). In 2002, he received the IEEE Nuclear and Plasma Sciences Society Radiation Effects Award, and in 2007, he received the IEEE Nuclear and Plasma Sciences Society Richard F. Shea Distinguished Member Award. He received the Distinguished Service Award from the Tennessee Society of Professional Engineers in 2013. American Society for Engineering Education (ASEE) activities include service as Chair of the Engineering Deans Council Public Policy Committee (2005-2007), as a member of the Engineering Deans Council Executive Board (2003-2005, 2008-2011), as Chair of the ASEE Engineering Deans Council (2009-2011), and as a member of the ASEE Board of Directors (2009-2011, 2012-2015). He was elected as a Fellow of the ASEE in 2011 and, in 2013-2014, served as President of the ASEE. AddThis Sharing Buttons Share to Twitter Twitter Share to Facebook Facebook Share to LinkedIn LinkedIn Share to Reddit Reddit Share to Email Email Share to PrintFriendly PrintFriendly Share to More AddThis : diff --git a/src/data/compiled_bios/367.txt b/src/data/compiled_bios/367.txt new file mode 100644 index 0000000000..6a0f4f720c --- /dev/null +++ b/src/data/compiled_bios/367.txt @@ -0,0 +1 @@ +Name: Liu, Yang:: Position: Associate Professor:: Degrees: Ph.D., Purdue University, USA; M.S., Tsinghua University, China; B.S., Tsinghua University, China; Research Interests: Speech and natural language processing; Social media language analysis; Automatic summarization; Emotion and affect modeling; Speech and language disorder; Major Honors and Awards: NSF CAREER award; Air Force Young Investigator Program award; RepresentativePublications: Deana Pennell and Yang Liu. Normalization of Informal Text. Computer Speech and Language, V28(1), pages 256-277, 2014.; Fei Liu and Yang Liu. Towards Abstractive Speech Summarization: Exploring Unsupervised and Supervised Approaches for Spoken Utterance Compression. IEEE Transactions on Audio, Speech and Language Processing, V21(7), Pages 1469-1480, 2013.; Rui Xia and Yang Liu. Using Denoising Autoencoder for Emotion Recognition. Interspeech, 2013.; Chen Li, Xian Qian, and Yang Liu. Using Supervised Bigram-based ILP for Extractive Summarization. ACL, 2013.; Zhonghua Qu and Yang Liu. Sentence Dependency Tagging in Online Question Answering Forums. ACL, 2012.; diff --git a/src/data/compiled_bios/3670.txt b/src/data/compiled_bios/3670.txt new file mode 100644 index 0000000000..eaeff13cdd --- /dev/null +++ b/src/data/compiled_bios/3670.txt @@ -0,0 +1 @@ + Email: a DOT gokhale AT vanderbilt DOTedu Anirddh Gokhl Professor of Computer Science & Computer Engineering Institute for Software Integrated Systems, Dept of EECS Vanderbilt University 1025 16th Ave South Nashville, TN 37212 Phone: (615) 322-8754, Fax: (615) 343-7440 Summary of Accomplishments (as of Jan 6, 2019) Detailed CV in html and PDF formats with links to publications (appropriate copyrights hold). Updated Jan 6, 2019. Research Statement (as of July 29, 2017) diff --git a/src/data/compiled_bios/3671.txt b/src/data/compiled_bios/3671.txt new file mode 100644 index 0000000000..e02866587d --- /dev/null +++ b/src/data/compiled_bios/3671.txt @@ -0,0 +1 @@ + About Research Teaching People Contact News and About News Tweets by @taylorjohnson About Brief Bio : Taylor T. Johnson is an Assistant Professor of Computer Engineering (CmpE), Computer Science (CS), and Electrical Engineering (EE) in the Department of Electrical Engineering and Computer Science (EECS) in the School of Engineering (VUSE) at Vanderbilt University (since August 2016), where he directs the Verification and Validation for Intelligent and Trustworthy Autonomy Laboratory (VeriVITAL) and is a Senior Research Scientist in the Institute for Software Integrated Systems (ISIS) . Taylor was previously an Assistant Professor of Computer Science and Engineering (CSE) at the University of Texas at Arlington (September 2013 to August 2016). Taylor earned a PhD in Electrical and Computer Engineering (ECE) from the University of Illinois at Urbana-Champaign in 2013, where he worked in the Coordinated Science Laboratory with Prof. Sayan Mitra , and earlier earned an MSc in ECE at Illinois in 2010 and a BSEE from Rice University in 2008. Taylor worked in industry for Schlumberger at various times between 2005 and 2010 helping develop novel embedded control systems for downhole tools. Taylor's research focus is developing formal verification techniques and software tools for cyber-physical systems (CPS). Taylor has published over four-dozen papers on these methods and their applications across CPS domains such as power and energy systems, aerospace and avionics systems, automotive systems, transportation systems, and robotics, two of which were recognized with best paper awards, from the IEEE and IFIP , respectively, and one of which was awarded an ACM Best Software Repeatability Award. Taylor's research aims to develop reliable embedded and cyber-physical systems by advancing and applying techniques and tools from formal methods, control theory, embedded systems, and software engineering. Taylor received the AFOSR Summer Faculty Fellowship Program ( SFFP ) award to visit the Air Force Research Laboratory (AFRL)'s Information Directorate in 2015, was a Visiting Faculty Research Program ( VFRP ) award fellow at AFRL's Information Directorate in 2014, and was a visiting graduate research assistant through an SFFP award at AFRL's Space Vehicles Directorate at Kirtland Air Force Base in 2011. Taylor is a 2016 recipient of the AFOSR Young Investigator Program (YIP) award , a 2015 recipient of the NSF Computer and Information Science and Engineering (CISE) Research Initiation Initiative (CRII) , and his research is / has been supported by AFRL , AFOSR , ARO, NSF ( CISE CCF / SHF , CNS / CPS ; ENG ECCS / EPCN ), NVIDIA , ONR, Toyota, and USDOT . Physical Location (Lab): VeriVITAL - The Verification and Validation for Intelligent and Trustworthy Autonomy Laboratory Room 300 1025 16th Ave S, Nashville, TN 37212 Institute for Software Integrated Systems Department of Electrical Engineering and Computer Science (EECS) School of Engineering (VUSE) Vanderbilt University Physical Location (Prof. Johnson): Taylor T. Johnson Assistant Professor of Computer Engineering (CmpE), Computer Science (CS), and Electrical Engineering (EE) Room 401D 1025 16th Ave S, Nashville, TN 37212 Institute for Software Integrated Systems Department of Electrical Engineering and Computer Science (EECS) School of Engineering (VUSE) Vanderbilt University Email (Preferred, be sure to remove spam prevention) : taylor.johnson AT nospam DOT gmail DOT com Email (School, be sure to remove spam prevention) : taylor.johnson AT nospam DOT vanderbilt DOT edu Spam Notice: please be aware that my spam filters are set to very high sensitivity given the volume of mail received. If you do not hear back from me, please resend your message. Phone (Office): 615-875-9057 Phone (Laboratory): Fax: 615-343-7440 Mailing Address: Taylor T. Johnson VUSE-ISIS Building 1025 16th Ave S, Suite 102 Nashville, TN 37212 Campus Mail Address (Not for Postal Mail): Taylor T. Johnson PMB351829 Nashville, TN 37235 high resolution ; talk bio Research Synopsis : Defects stemming from the interaction of software and physical processes in embedded and cyber-physical systems (CPS) are rampant and are becoming more prevalent as exemplified by frequent product recalls in industries such as automotive, medical devices, and consumer products. To address this challenge to ensure CPS meet the strictest safety, security, and reliability requirements, our research agenda is to develop formal verification techniques and tools for CPS, building on and advancing foundational results in formal methods, control theory, distributed systems, and real-time/embedded systems. For example, one technique we've developed is for verifying safety properties of distributed CPS where arbitrarily many agents participate in a protocol, such as in air traffic control protocols, network protocols, networked control systems, and swarm robotics. This uniform verification technique for parameterized systems verifies systems with arbitrarily many participants, and relies on a small model theorem we developed, which allows for reasoning about arbitrarily large instances using finite instances. Our implementation of this technique in an SMT-based verification software tool (called Passel ) allowed us to prove automatically, that in one of NASA's conceptual air traffic control protocols in NextGen, all aircraft maintain a safe separation, regardless of the number of aircraft involved in the protocol. Other techniques we have developed include automated abstractions implemented in our Hyst tool , mixtures of static and dynamic analysis for Simulink/Stateflow models to infer cyber-physical specifications as implemented in our Hynger tool , the first reachability algorithm for hybrid automata that may be implemented with real-time guarantees , among others. Our verification methods have been applied across numerous CPS domains, including automotive, aerospace, power/energy systems, and robotics. CV / Resume My detailed curriculum vitae is available for viewing as a PDF file . (Please note, I have removed some information from the files posted here for privacy concerns. If you would like a complete copy, please contact me .) Prospective Students : I am looking for ambitious and motivated graduate and undergraduate students. Research Assistantships (RAs) are available for competitive candidates. If you are a Vanderbilt student looking for an advisor, or if you are interested in applying to Vanderbilt for graduate studies in Electrical Engineering or Computer Science (EECS), please email me with your resume/CV (and your transcript if at Vanderbilt) if you are interested to do research in formal methods and theory (especially) , verification and validation (V&V), hybrid systems, embedded systems / cyber-physical systems (CPS), the Internet of Things (IoT), software engineering, distributed systems, real-time systems, security/privacy, and related areas. I also need strong programmers at all levels, especially in Java, C/C++, and Matlab. If you do not include your resume/CV (and transcript if at Vanderbilt), I will not respond . As I receive many such requests, I cannot reply to every email, but do my best to reply to competitive applicants. 2018 Taylor Johnson , All Rights Reserved. diff --git a/src/data/compiled_bios/3672.txt b/src/data/compiled_bios/3672.txt new file mode 100644 index 0000000000..74f8bd3b6f --- /dev/null +++ b/src/data/compiled_bios/3672.txt @@ -0,0 +1 @@ + Weng Poo Kang Professor of Electrical Engineering Professor of Computer Engineering Professor of Materials Science and Engineering Electrical Engineering and Computer Science Intellectual Neighborhoods Surgery and Engineering Nano Science and Technology Energy and Natural Resources Research Focus Solid-state sensors, semiconductor devices, VLSI design AddThis Sharing Buttons Share to Twitter Twitter Share to Facebook Facebook Share to LinkedIn LinkedIn Share to Reddit Reddit Share to Email Email Share to PrintFriendly PrintFriendly Share to More AddThis : diff --git a/src/data/compiled_bios/3673.txt b/src/data/compiled_bios/3673.txt new file mode 100644 index 0000000000..6ffb3c2135 --- /dev/null +++ b/src/data/compiled_bios/3673.txt @@ -0,0 +1 @@ + Tertiary Links Publications Education Resources People Sponsors Careers Contact Alumni Secondary links Login Search this site: Primary links Research Model Integrated Computing Smart Cities Distributed Object Computing Network Embedded Systems Cyber-Physical Systems Education Technology Smart Mobility Modeling and Analysis of Complex Systems Projects Current Past Tools Careers Calendar Home Gabor Karsai Gabor Karsai Professor of Electrical and Computer Engineering, and Computer Science Senior Research Scientist at the Institute for Software-Integrated Systems Vanderbilt University Nashville, TN 37235, USA Tel: +1 615 343 7471 Dr. Gabor Karsai is a Professor of Electrical Engineering and Computer Science at Vanderbilt University, and Senior Research Scientist at the Institute for Software-Integrated Systems. He has over thirty years of experience in software engineering. He conducts research in the design and implementation of embedded systems, in programming tools for visual programming environments, in the theory and practice of model-integrated computing, and in resource management and scheduling systems. He received his Diploma, MSc, and Dr. Techn. degrees from the Technical University of Budapest , Hungary, in 1982, 1984 and 1988, respectively, and his PhD from Vanderbilt University in 1988. He has published over 150 papers, and he is the co-author of four patents. He has managed several large research projects on model-based integration of embedded systems, model-based toolchains, fault-adaptive control technology, and coordinated scheduling and planning. Publications Institute website IEEE Explore Google Scholar Semantic Scholar Copyright 2011 ISIS / Vanderbilt University / School of Engineering diff --git a/src/data/compiled_bios/3674.txt b/src/data/compiled_bios/3674.txt new file mode 100644 index 0000000000..41b56e63da --- /dev/null +++ b/src/data/compiled_bios/3674.txt @@ -0,0 +1 @@ + Skip to Content About Admissions Academics Research Students Faculty & Staff Athletics Medical Center Email YES Blackboard c2hr Logins Libraries Calendar People Finder Campus Maps A-Z Vanderbilt Home Navigate VU Tools Search VU Xenofon D. Koutsoukos Professor of Computer Science, Computer Engineering, and Electrical Engineering Associate Chair Department of Electrical Engineering and Computer Science Vanderbilt University Affiliations: Department of Electrical Engineering & Computer Science Institute for Software Integrated Systems Postal Address: Vanderbilt University Department of Electrical Engineering & Computer Science Box 1679, Station B Nashville, TN 37235 USA Non-USPS Delivery Address: Vanderbilt University Department of Electrical Engineering & Computer Science 362 Jacobs Hall 400 24th Avenue South Nashville, TN 37212 USA Office: 364 Jacobs Hall Telephone: (615) 322-8283 (615) 343-5459 fax E-mail: Xenofon.Koutsoukos@vanderbilt.edu Home Research Publications Teaching Students/Postdocs Activities Bio Links See Our Campus Your Vanderbilt Alumni Current Students Faculty & Staff International Students Media Parents & Family Prospective Students Researchers Sports Fans Visitors & Neighbors Connect with Vanderbilt Twitter Facebook YouTube iTunesU Flickr RSS Feed 2010 Vanderbilt University Design by University Web Communications Xenofon Koutsoukos diff --git a/src/data/compiled_bios/3675.txt b/src/data/compiled_bios/3675.txt new file mode 100644 index 0000000000..9c4361dc09 --- /dev/null +++ b/src/data/compiled_bios/3675.txt @@ -0,0 +1 @@ + AIVAS Lab Laboratory for Artificial Intelligence and Visual Analogical Systems Skip to content Home People Projects Publications News Current Openings Home The AIVAS Lab does research at the intersection of artificial intelligence and cognitive science, in the area of computational cognitive systems. Most of our research involves studying how visual mental imagery contributes to learning and intelligent behavior, both in humans and in AI systems. Summer 2017 Our Goals Most of the research that we do follows two main pathways. First, we build and study AI systems as a way to understand how people think, for neurotypical individuals as well as for individuals with atypical cognitive conditions such as autism. Second, we use findings from cognitive science to advance the state of the art in AI, especially to develop new AI techniques for solving complex problems using visual imagery. What are Visual Analogical Systems? The term analogical means that something has an organized relationship with something elselike an analogy. In AI and cognitive science, analogical representations refer to a way of portraying information that retains a correspondence with the real world. For example, an image of a cat is analogical because the 2D spatial information contained in the image corresponds to what the cat looks like in real life. On the other hand, the word cat is not an analogical representation, because it has no such correspondence. Most of the AI systems that we build use visual analogical representations as the core data structures that support learning, problem solving, and other intelligent behaviors. Spring 2017 (We ^almost escaped) Summer 2016 (An exercise in gradient descent) Search for: Latest News Paper on visual imagery in AI published in journal Cortex Jul 28, 2018 Two papers accepted to CogSci 2018 Apr 13, 2018 Maithilee Kunda presents lecture at AAAS headquarters Dec 4, 2017 Ben Scheer creates VR for Nashville musician Nov 16, 2017 Paper accepted to AAAI-18 Nov 8, 2017 EMMI dataset paper presented at EPIC@ICCV Oct 29, 2017 Ellis Brown gives talk at AISES 2017 National Conference Sep 21, 2017 Maithilee Kunda serves as panelist for AAAS event on AI and society Sep 7, 2017 Lab receives NSF grant Aug 15, 2017 Zameese Peters presents research at 2017 Leadership Alliance National Symposium Aug 3, 2017 CogSci 2017: Fernanda Eliott and James Ainooson present posters Jul 27, 2017 New Vanderbilt Center for Autism and Innovation Jul 17, 2017 Binula Illukpitiya wins second place in poster symposium Jul 12, 2017 Fernanda Eliott serves as panelist at STEM Think Tank and Conference Jul 12, 2017 Lab receives Vanderbilt Discovery Grant Jun 22, 2017 Lab Positions See Current Openings for updates on available positions. Contact For more information about the lab, please contact Maithilee Kunda . Media For media inquiries, please contact the VUSE Communications Office . Location Vanderbilt School of Engineering (VUSE) Nashville, Tennessee, USA AIVAS Lab Proudly powered by WordPress. diff --git a/src/data/compiled_bios/3676.txt b/src/data/compiled_bios/3676.txt new file mode 100644 index 0000000000..401aada47f --- /dev/null +++ b/src/data/compiled_bios/3676.txt @@ -0,0 +1 @@ + Toggle navigation Search This Site Search All VU Explore VU Vanderbilt Home About Admissions Academics Research Students Faculty & Staff Athletics News & Events Get Social @Vanderbilt Skip to main content About Us About Us Media Our Roots Resources : Software Resources : Data Welcome to the MASI Lab People People Bennett Landman, Ph.D. Lab Photos Alumni Alumni Photos Affiliated Labs Research Research Neuroimaging Neuroimaging Outside the Brain (Ophthalmological and Spinal) Abdominal Imaging Big Data and Informatics Publications Publications Publication Details Facilities Workshops and Challenges Inside MASI Medical-image Analysis and Statistical Interpretation Lab Welcome to the MASI Lab Previous Next Consideration of Cerebrospinal Fluid Intensity Variation in Diffusion Weighted MRI Feb. 7, 2019Colin B. Hansen,Vishwesh Nath,Allison E. Hainline,Kurt G. Schilling,Prasanna Parvathaneni,Roza G. Bayrak,Justin A. Blaber, Owen Williams, Susan Resnick, Lori Beason-Held, Okan Irfanoglu, Carlo Pierpaoli, Adam W. Anderson, Baxter P. Rogers,Bennett A. Landman, Consideration of Cerebrospinal Fluid Intensity Variation in Diffusion Weighted MRI. SPIE Medical Imaging, San Diego, CA, 2019 Abstract Diffusion weighted MRI (DW-MRI) depends on... Read more Imaging Biomarkers in Thyroid Eye Disease and their Clinical Associations Dec. 18, 2018Shikha Chaganti, Katrina Nelson, Kevin Mundy, Robert Harrigan, Robert Galloway, Louise A. Mawn, Bennett Landman, Imaging biomarkers in thyroid eye disease and their clinical associations, Journal of Medical Imaging. (2018), doi: 10.1117/1.JMI.5.4.044001. Abstract Purpose: The purpose of this study is to understand the phenotypes of thyroid eye disease (TED) through data derived from a multi-atlas... Read more Electronic Medical Record Context Signatures Improve Diagnostic Classification using Medical Image Computing Dec. 17, 2018Shikha Chaganti, Louise A. Mawn, Hakmook Kang, Josephine Egan, Susan M. Resnick, Lori L. Beason-Held, Bennett A. Landman, Thomas A. Lasko. Electronic Medical Record Context Signatures Improve Diagnostic Classification using Medical Image Computing. IEEE Journal of Biomedical and Health Informatics. (In Press) Abstract Composite models that combine medical imaging with electronic medical records (EMR) improve... Read more Confirmation of a Gyral Bias in Diffusion MRI Fiber Tractography Dec. 15, 2018Kurt G Schilling, Yurui Gao, Iwona Stepniewska, Bennett A. Landman, and Adam W Anderson. Confirmation of a Gyral Bias in Diffusion MRI Fiber Tractography. Human Brain Mapping. 2018 Mar;39(3):1449-1466. doi: 10.1002/hbm.23936. Full text: https://www.ncbi.nlm.nih.gov/pubmed/?term=Confirmation+of+a+Gyral+Bias+in+Diffusion+MRI+Fiber+Tractography Abstract Diffusion MRI fiber tractography has been increasingly used to map the structural connectivity of the human brain. However, this technique... Read more Can increased spatial resolution solve the crossing fiber problem for diffusion MRI? Dec. 15, 2018Kurt G Schilling, Yurui Gao, Vaibhav Janve, Iwona Stepniewska, Bennett A Landman, Adam W Anderson. Can increased spatial resolution solve the crossing fiber problem for diffusion MRI?. NMR in Biomedicine. (2017) 30(12),e3787. https://doi.org/10.1002/nbm.3787. Full text: https://www.ncbi.nlm.nih.gov/pubmed/?term=Can+increased+spatial+resolution+solve+the+crossing+fiber+problem+for+diffusion+MRI%3F Abstract It is now widely recognized that voxels with crossing fibers or complex geometrical configurations present a challenge for... Read more Histological Validation of Diffusion MRI Fiber Orientation Distributions and Dispersion Dec. 15, 2018Kurt G Schilling, Vaibhav Janve; Yurui Gao; Iwona Stepniewska; Bennett A Landman; Adam W Anderson. Histological Validation of Diffusion MRI Fiber Orientation Distributions and Dispersion. NeuroImage. 2018 Jan 15;165:200-221. doi: 10.1016/j.neuroimage.2017.10.046. Full text: https://www.ncbi.nlm.nih.gov/pubmed/?term=Histological+Validation+of+Diffusion+MRI+Fiber+Orientation+Distributions+and+Dispersion Abstract Diffusion magnetic resonance imaging (dMRI) is widely used to probe tissue microstructure, and is currently the only non-invasive way to... Read more A Web-based Combined MRI-Histology Digital Atlas of the Squirrel Monkey Brain. Dec. 15, 2018Kurt G. Schilling, Yurui Gao, Vaibhav Janve, Matthew Christian, Iwona Stepniewska, Bennett A. Landman, Adam W. Anderson. A Web-based Combined MRI-Histology Digital Atlas of the Squirrel Monkey Brain. Neuroinformatics (2018) 1-15. doi:10.1007/s12021-018-9391-z. Full text: https://www.ncbi.nlm.nih.gov/pubmed/?term=A+Web-based+Combined+MRI-Histology+Digital+Atlas Abstract The squirrel monkey (Saimiri sciureus) is a commonly-used surrogate for humans in biomedical research. In the neuroimaging community, MRI... Read more Anatomical Accuracy of Standard-Practice Tractography Algorithms in the Motor System a Histological Validation in the Squirrel Monkey Brain Dec. 15, 2018Kurt G. Schilling, Yurui Gao,Vaibhav Janve,Iwona Stepniewska, Bennett Landman, Adam Anderson. Anatomical Accuracy of Standard-Practice Tractography Algorithms in the Motor System a Histological Validation in the Squirrel Monkey Brain. Magnetic Resonance Imaging. 2018. doi: 1016/j.mri.2018.09.004 Full text:https://www.ncbi.nlm.nih.gov/pubmed/30213755 Abstract For two decades diffusion fiber tractography has been used to probe both the spatial extent of... Read more Functional Tractography of White Matter by High Angular Resolution Functional-correlation Imaging (HARFI) Dec. 15, 2018Kurt G. Schilling, Yurui Gao,Muwei Li, Tung-Lin Wu, Justin Blaber, Bennett A Landman, Adam W Anderson, Zhaohua Ding, John C Gore. Functional Tractography of White Matter by High Angular Resolution Functional-correlation Imaging (HARFI). Magn Reson Med. 2018;00:1-14. https://doi.org/10.1002/mrm.27512. Full text:https://www.ncbi.nlm.nih.gov/pubmed/30277272 https://onlinelibrary.wiley.com/doi/full/10.1002/mrm.27512 Abstract Purpose Functional magnetic resonance imaging with BOLD contrast is widely used for detecting... Read more Limits to anatomical accuracy of diffusion tractography using modern approaches Dec. 15, 2018Kurt G Schilling, Vishwesh Nath, Colin Hansen, Prasanna Parvathaneni, Justin Blaber, Yurui Gao, Peter Neher, Dogu Baran Aydogan, Yonggang Shi, Mario Ocampo-Pineda, Simona Schiavi, Alessandro Daducci , Gabriel Girard, Muhamed Barakovic, Jonathan Rafael-Patino, David Romascano, Gatan Rensonnet, Marco Pizzolato, Alice Bates, Elda Fischi, Jean-Philippe Thiran, Erick J. Canales-Rodrguez, Chao Huang, Hongtu Zhu, Liming Zhong, Ryan... Read more Previous Page Recent Posts Consideration of Cerebrospinal Fluid Intensity Variation in Diffusion Weighted MRI Imaging Biomarkers in Thyroid Eye Disease and their Clinical Associations Electronic Medical Record Context Signatures Improve Diagnostic Classification using Medical Image Computing Confirmation of a Gyral Bias in Diffusion MRI Fiber Tractography Can increased spatial resolution solve the crossing fiber problem for diffusion MRI? 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Vanderbilt, Vanderbilt University, V Oak Leaf Design, Star V Design and Anchor Down are trademarks of The Vanderbilt University diff --git a/src/data/compiled_bios/3677.txt b/src/data/compiled_bios/3677.txt new file mode 100644 index 0000000000..0d24bb52d5 --- /dev/null +++ b/src/data/compiled_bios/3677.txt @@ -0,0 +1 @@ + Tertiary Links Publications Education Resources People Sponsors Careers Contact Alumni Secondary links Login Search this site: Primary links Research Model Integrated Computing Smart Cities Distributed Object Computing Network Embedded Systems Cyber-Physical Systems Education Technology Smart Mobility Modeling and Analysis of Complex Systems Projects Current Past Tools Careers Calendar Home kos Ldeczi Professor, Computer Engineering Director of Graduate Studies, Computer Science Senior Research Scientist Ste. 400 1025 16th Ave. Nashville, TN 37212 Phone: (615) 343-8307 Fax: (615) 343-7440 Email: first name dot last name at vanderbilt dot edu My two main research areaa are computer science education and wireless sensor networks (WSN) . NetsBlox, our open source, web-based visual programming environment for K12 supports synergistic learning of STEM and Computational Thinking. I co-authored a highly popular introductory programming MOOC available on Coursera. In the WSN domain, my team has developed a novel WSN-based countersniper system . An enhanced version is soldier wearable and not only does it localize the shooter very accurately, but it can also tell the caliber and the weapon type. An interesting paper describes the system in detail. The latest version is smartphone-based. Our radio interferometric positioning approach has gained much attention and resulted in the Best Paper Award at the ACM Sensys 2007 conference. My other focus is Model Integrated Computing. Our latest open source software tool, the Web-based Generic Modeling Environment is a web- and cloud-based, collaborative, configurable toolkit for creating domain-specific visual modeling and program synthesis environments. News New article about our anti-poaching system fundded by Vodafone (September 2018) NetsBlox now does robots and cybersecurity education (July 2018) Addisu Taddese has successfully defended his PhD dissertation on capsule endoscopes (July 2018). Brian Broll has successfully defended his PhD dissertation related to NetsBlox (March 2018). NSF is funding Brian Broll's brainchild: DeepForge (October 2017). Nice article about the MATLAB MOOC (July 2017) WIPER , our anti-poaching project has won 2nd place in the Vodafone Wireless Innovation project (June, 2017) NetsBlox in the news ! (May, 2017) Check out the MathWorks Newsletter on our MOOC! (December, 2016) A new session of the MOOC Introduction to Programming with MATLAB is now available on the new Coursera platform.The MOOC iscurrently ranked #3 in the Top 50 free online courses of All Time in the World on Class Central! (August, 2016). The third session of our MOOC on programming with MATLAB has ended. The three sessions this year saw over 150,000 students enroll. We had about 2 million lecture views and 100,000 homework sets graded! 5,300 students graduated with a passing grade. (December, 2015) Our time synchronization paper from 2004 received the Test of Time Award at ACM SenSys. (November 2014). Our poster on Medical Capsule Robots received the Best Poster Award at ACM SenSys. (November 2014) Our smartphone-based shooter localization systems was featured in news outlets across the globe, including CBSNews.com , the Times of India , Mashable , Futurity , Gizmag (Australia), and Wired's U.K. edition . More on the app here . Teaching CS 1103 Introduction to Programming... Office hours: Mondays 2:10-3:00, FGH 322 of by appointment at 1025 16th Ave S.. Publications and Citations ISIS Location - 1025 16th Ave S, Nashville View Larger Map For a detailed map of the Vanderbilt Campus click here Attachment Size Attachment Size 2003-FtBenningDarpaDemo.mov 36.83 MB 2004-SingleChannel-4Shots.mp4 3.17 MB 2004-SingleChannelMultiShot.wmv 6.37 MB 2009-MultiChannel.mp4 1.49 MB Copyright 2011 ISIS / Vanderbilt University / School of Engineering diff --git a/src/data/compiled_bios/3678.txt b/src/data/compiled_bios/3678.txt new file mode 100644 index 0000000000..2f0191afa8 --- /dev/null +++ b/src/data/compiled_bios/3678.txt @@ -0,0 +1 @@ + Vanderbilt University School of Engineering Vanderbilt Home Engineering Home Search VU Institute for Space and Defense Electronics GO Page Navigation ISDE Home Background Capabilities Design Support Analysis and Simulation Test Capabilities Virtual Irradiation Capabilities CubeSat Development Current CubeSat Missions RadFxSat#1 RadFxSat#2 Computing Capabilities Facilities Location Directions Directions from Nashville International Airport (BNA) From West of Nashville From Points North (I-24 & I-65) From I-65 South Hotel Information Meetings DTRA/NRO Review 12-13 May 2015 Contact Us Employment Staff Presentations Sponsors Alumni Are You an RER Alumni? RER Publications The mission of the Institute for Space and Defense Electr onics (ISDE) is to contribute to the design and analysis of radiation-hardened electronics, the development of test methods and plans for assuring radiation hardness, and the development of solutions to system-specific problems related to radiation effects. ISDE was launched with initial support from the U.S. Navy Strategic Systems Program and C.S. Draper Labs. In addition, ISDE currently supports the Defense Threat Reduction Agency, Arnold Engineering Development Center, NASA Goddard Space Flight Center, NASA Marshall Space Flight Center, Boeing/Defense Advanced Research Projects Agency, Naval Research Laboratory, Air Force Office of Scientific Research, Department of Energy, BAE Systems, and Cisco Systems. Expertise includes, but is not limited to, Intersil, Honeywell and IBM processes. AddThis Share Facebook Twitter Email Print ISDE Related Sites CRME-MC (with CREME96) RER Group Recent News ISDE Leads $3 Million International Study of Radiation on 3D Electronics 2.7.19 Radiation Experiment Flies on Record-Setting SpaceX Launch Dedicated Entirely to Small Satellites 12.12.18 Cloudy with a Chance of Solar Flares: Quantifying the Risk of Space Weather 2.20.17 Vanderbilt CubeSat data collected by ham radio operators worldwide 2.16.16 CubeSAT Launch 12.21.15 NASA Sets Coverage Schedule for CubeSat Launch Events 10.5.15 After Fukushima, Vanderbilt researchers study radiations effects on robots 9.3.14 Our Photos Your Vanderbilt Alumni Current Students Faculty & Staff International Students Media Parents & Family Prospective Students Researchers Sports Fans Visitors & Neighbors Connect with ISDE Twitter Facebook RSS Feed 2019 Vanderbilt University Site Development: University Web Communications diff --git a/src/data/compiled_bios/3679.txt b/src/data/compiled_bios/3679.txt new file mode 100644 index 0000000000..7ddc055192 --- /dev/null +++ b/src/data/compiled_bios/3679.txt @@ -0,0 +1 @@ + Justus Ndukaife Assistant Professor of Electrical Engineering Electrical Engineering and Computer Science Research Focus Professor Ndukaifes research is at the interface between the fields of nanophotonics (which involves the confinement and manipulation of light at the deeply subwavelength scale) and microfluidics, as well as on novel bio-inspired soft actuators and robots. Professor Ndukaifes research interests include nano-optical trapping with plasmonic and resonant dielectric metasurfaces, programmable self-assembly of nanostructures for energy harvesting and on-chip single photon sources, novel emergent behavior in nanoscale motors, nano-biosensing, imaging, and novel optobiomechanical actuators and soft robots. Biography Justus Ndukaife received a Ph.D. in electrical engineering from Purdue University in 2017 during which he was selected for the 2017 prestigious Dimitris N. Chorafas Foundation Award for outstanding Ph.D. dissertation, an award given to the best doctoral candidate at Purdue every year. His other honors include the Purdue College of Engineering Outstanding Graduate Student Research Award, the NSBE Golden Torch Award, and Best Paper Award at the ASME conference. His research works have been published in journals like Nature Nanotechnology, Science and ACS Nano . AddThis Sharing Buttons Share to Twitter Twitter Share to Facebook Facebook Share to LinkedIn LinkedIn Share to Reddit Reddit Share to Email Email Share to PrintFriendly PrintFriendly Share to More AddThis : diff --git a/src/data/compiled_bios/368.txt b/src/data/compiled_bios/368.txt new file mode 100644 index 0000000000..76d850d27b --- /dev/null +++ b/src/data/compiled_bios/368.txt @@ -0,0 +1 @@ +Name: Marcus, Andrian:: Position: Professor:: Degrees: Ph.D., Computer Science, Kent State University, 2003; M.Sc., Computer Science, The University of Memphis,2000; M.A., History, Babe-Bolyai University,Cluj-Napoca, Romania, 1996; B.Sc., Computer Science, Babe-Bolyai University, Cluj-Napoca, Romania, 1995; Research Interests: Software Engineering; Software Evolution and Maintenance; Program Comprehension; Major Honors and Awards: NSF CAREER Award 2009; Most Influential Paper Award from the 11th IEEE Working Conference on Reverse Engineering (WCRE2004), awarded in 2014; Best Paper Award at the 15th IEEE International Conference on Program Comprehension (ICPC2007), Banff, Canada, June 26-29; Best Paper Award at the 14th IEEE International Conference on Program Comprehension (ICPC2006), Athens, Greece, June 14-17; Best Dissertation Paper Award at the 20th IEEE International Conference on Software Maintenance (ICSM 2004), Chicago, IL, September 11-17, 2004; Fulbright research fellowship 1997-1998; RepresentativePublications: ; Moreno, L., Bavota, G., Di Penta, M., Oliveto, R., Marcus, A., How can I use this method?, in Proceedings of the 37th IEEE/ACM International Conference on Software Engineering (ICSE2015), Florence, Italy, May 20-22, 2015.; ; ; Moreno, L., Bavota, G., Di Penta, M., Oliveto, R., Marcus, A., Canfora, G., Automatic Generation of Release Notes, in Proceedings of the 22nd ACM SIGSOFT International Symposium on the Foundations of Software Engineering (FSE 2014), Hong Kong, 2014, pp: 484-495.; ; ; Haiduc, S., Bavota, G., Marcus, A., Oliveto, R., De Lucia, A., Menzies, T., Automatic Query Reformulations for Text Retrieval in Software Engineering, in Proceedings of the 35th IEEE/ACM International Conference on Software Engineering (ICSE2013), San Francisco, USA, May 22-24, 2013, pp. 842-851.; ; ; Menzies, T., Butcher, A., Cok, D., Marcus, A., Layman, L., Shull, F., Turhan, B., Zimmermann, T., Local vs Global Lessons for Defect Prediction and Effort Estimation, in IEEE Transactions on Software Engineering (TSE), 39(6), pp. 822-834.; ; ; Haiduc, S., Bavota, G., Oliveto, R., De Lucia, A., Marcus, A., Automatic Query Performance Assessment during the Retrieval of Software Artifacts, in Proceedings of 27th IEEE/ACM International Conference on Automated Software Engineering (ASE 2012), Essen, Germany, September 3-7, 2012, pp. 90-99.; ; Notable Service: Editorial Board member IEEE Transactions on Software Engineering (TSE); Editorial Board member Empirical Software Engineering Journal (EMSE), Springer; Editorial Board member Journal of Software: Evolution and Process (JSEP), John Wiley and Sons; General Chair 27th IEEE International Conference on Software Maintenance (ICSM2011); Program Co-Chair 26th IEEE International Conference on Software Maintenance (ICSM2010); Program Co-Chair 27th IEEE International Conference on Program Comprehension (ICPC2009); Steering Committee Member for the IEEE International Conference on Software Maintenance and Evolution (ICSME) for 2005-2008, 2011-2014 (Chair of the Steering Committee 2012-14); Steering Committee Member for the IEEE Workshop on Visualizing Software for Understanding and Analysis (VISSOFT) (2005-2009); diff --git a/src/data/compiled_bios/3680.txt b/src/data/compiled_bios/3680.txt new file mode 100644 index 0000000000..cb6adc24bd --- /dev/null +++ b/src/data/compiled_bios/3680.txt @@ -0,0 +1 @@ + About Admissions Academics Research Students Faculty & Staff Athletics Medical Center Email YES Blackboard c2hr Logins Libraries People Finder Campus Maps A-Z Go Vanderbilt University Vanderbilt Home Navigate VU Tools Search VU Jack Noble GO Page Navigation Home Page Curriculum Vitae Lab Positions Contact Me Jack H. Noble, Ph.D. Assistant Professor of Electrical Engineering, Computer Science, and Computer Engineering Professor Noble is the PI for the Biomedical Image Analysis for Image Guided Interventions Laboratory ( BAGL ) in the Dept. of Electrical Engineering and Computer Science at Vanderbilt Universty. His research interests are in medical image processing an d analysis, including image registration and segmentation techniques, such as statistical shape models, graph search, machine learning, and level set techniques. He is also interested in computer-assisted surgery and computer-aided interventions. His recent focus has been in developing image analysis-based solutions for improving cochlear implant surgery and post-operative rehabilitation. Facebook Twitter Email Print Google Bookmark AddThis Links Biomedical Image Analysis for Image Guided Interventions Laboratory Computer Assisted Otologic Surgery Lab Vanderbilt Institute for Surgery and Engineering Vanderbilt School of Engineering Contact Information Jack H. Noble, Ph.D. Assistant Professor Dept. of EECS Vanderbilt University 2301 Vanderbilt Pl., VU Station B #351679 Nashville, TN 37235 Office: 359 Jacobs Hall Phone: 615-875-5539 Fax: 615-343-5459 Your Vanderbilt Alumni Current Students Faculty & Staff International Students Media Parents & Family Prospective Students Researchers Sports Fans Visitors & Neighbors Connect with Vanderbilt RSS Feed 2019 Vanderbilt University Site Development: University Web Communications diff --git a/src/data/compiled_bios/3681.txt b/src/data/compiled_bios/3681.txt new file mode 100644 index 0000000000..b32b49c292 --- /dev/null +++ b/src/data/compiled_bios/3681.txt @@ -0,0 +1 @@ + Ipek Oguz Assistant Professor of Computer Science Electrical Engineering and Computer Science Intellectual Neighborhoods Big Data Science and Engineering Surgery and Engineering Biomedical Imaging and Biophotonics Research Focus I work on creating new methods for medical image analysis. My technical expertise and interests are focused on graph theoretic techniques for structural image analysis with particular emphasis on longitudinal imaging studies and machine learning. My method development work in these areas is driven by biological problems in three application domains: neuroimaging, ophthalmic imaging, and obstetric imaging. Biography Ipek Oguz is an Assistant Professor in the Department of Electrical Engineering and Computer Science at Vanderbilt University. She received her Ph.D. in Computer Science at the University of North Carolina at Chapel Hill. Prior to joining Vanderbilt, she worked in the Penn Image Computing and Science Laboratory (PICSL) and Center for Biomedical Image Computing and Analytics (CBICA) at the University of Pennsylvania as well as in the Iowa Institute for Biomedical Imaging (IIBI) at the University of Iowa. Her research is in the field of medical image analysis and specifically in the development of novel methodology for quantitative medical image analysis, with applications to neuroimaging, including Huntingtons disease and multiple sclerosis, as well as ophthalmic and obstetric imaging. Her technical interests include graph-based segmentation methods, longitudinal studies and machine learning. She has co-authored more than 50 peer-reviewed journal and conference publications. She is an executive in the Women in MICCAI Committee and a co-chair of IPMI 2017. AddThis Sharing Buttons Share to Twitter Twitter Share to Facebook Facebook Share to LinkedIn LinkedIn Share to Reddit Reddit Share to Email Email Share to PrintFriendly PrintFriendly Share to More AddThis : diff --git a/src/data/compiled_bios/3682.txt b/src/data/compiled_bios/3682.txt new file mode 100644 index 0000000000..47dd12f14f --- /dev/null +++ b/src/data/compiled_bios/3682.txt @@ -0,0 +1 @@ + Sokrates Pantelides Skip to content Home Contact Info Curriculum Vitae Group Members Photos Recent Invited Talks Recent Publications Research Home Page From the ceremony at which Professor Pantelides was installed as Distinguished VisitingProfessor of Physics at the University of the Chinese Academy of Sciences in Beijing, China in June, 2016. Professor Pantelides, The University Vice President and senior collaborators in Beijing. The University Vice President presenting the certificate of appointment. Current Appointments: Vanderbilt University: University Distinguished Professor of Physics and Engineering (2010 ) William A. and Nancy F. McMinn Professor of Physics (1994 ) Professor of Electrical Engineering (2008 ) Oak Ridge National Laboratory: Distinguished Visiting Scientist (1995 ) University of the Chinese Academy of Sciences, Beijing, China : Distinguished Visiting Professor of Physics (2016 ) Prior Appointments: IBM Thomas J. Watson Research Center, Yorktown Heights, NY (1975 1994) Research Staff Member, Manager, Senior Manager, Program Director Stanford University, Stanford, CA (1973 1975) Post-doctoral researcher Education: PhD Physics, University of Illinois at Urbana-Champaign, IL (1973) BS Physics with Highest Scholastic Honors, Northern Illinois University, DeKalb, IL (1969) Honors: IBM Outstanding Innovation Award, 1980 Fellow, American Physical Society, 1981 Fellow, American Association for the Advancement of Science, 2003 Chancellors Research Award, Vanderbilt University, 2003. APS Outstanding Referee Award, 2008 Fellow, Materials Research Society, 2012 Fellow, Institute of Electrical andElectronics Engineers, 2015 Leave a Reply Cancel reply Your email address will not be published. Required fields are marked * Comment Name * Email * Website Links Media Press Release Sokrates Pantelides Proudly powered by WordPress. diff --git a/src/data/compiled_bios/3683.txt b/src/data/compiled_bios/3683.txt new file mode 100644 index 0000000000..b796106820 --- /dev/null +++ b/src/data/compiled_bios/3683.txt @@ -0,0 +1 @@ + Richard Alan Peters Associate Professor of Electrical Engineering Electrical Engineering and Computer Science Research Focus Digital image processing, computer vision, Digital signal processing, computer graphics, software engineering, electromagnetic theory, applied mathematics AddThis Sharing Buttons Share to Twitter Twitter Share to Facebook Facebook Share to LinkedIn LinkedIn Share to Reddit Reddit Share to Email Email Share to PrintFriendly PrintFriendly Share to More AddThis : diff --git a/src/data/compiled_bios/3684.txt b/src/data/compiled_bios/3684.txt new file mode 100644 index 0000000000..40deb7d371 --- /dev/null +++ b/src/data/compiled_bios/3684.txt @@ -0,0 +1 @@ + Toggle navigation Search This Site Search All VU Logins VUGmail VMail YES Brightspace C2HR Anchor Link Resources PeopleFinder Libraries News Calendar Maps A-Z Get Social Explore VU About Admissions Academics Research Students Faculty & Staff Athletics Medical Center Research at Vanderbilt Office of the Vice Provost for Research Vanderbilt University Research Council A-Z Interdisciplinary Research Centers and Institutes Graduate Interdisciplinary Research Undergraduate Research Colleges and Schools Blair School of Music College of Arts and Science Divinity School Law School Owen Graduate School of Management Peabody College of Education and Human Development School of Engineering School of Medicine School of Nursing Resources for Researchers Compliance and Research Integrity Core Facilities for Research Digital Humanities Funding Programs Interns and Observers Jean and Alexander Heard Library Leveraged Proposal Organization and Development Limited Submission Opportunities Post-Award: Funded Proposals Pre-Award: Proposal Development and Submission Research IT Search External Funding Opportunities Technology Transfer and Commercialization Vanderbilt Institute for Digital Learning Vanderbilt University Press Initiatives Academic Strategic Plan Provosts Initiative to Enhance Research and Scholarship (PIERS) Oak Ridge National Laboratory Strategic Partnerships Research News Education and Psychology Engineering and Technology Health and Medicine Humanities Law, Business, and Politics Life, Earth, and Space Society and Culture Select Page Research at Vanderbilt Office of the Vice Provost for Research Vanderbilt University Research Council A-Z Interdisciplinary Research Centers and Institutes Graduate Interdisciplinary Research Undergraduate Research Colleges and Schools Blair School of Music College of Arts and Science Divinity School Law School Owen Graduate School of Management Peabody College of Education and Human Development School of Engineering School of Medicine School of Nursing Resources for Researchers Compliance and Research Integrity Core Facilities for Research Digital Humanities Funding Programs Interns and Observers Jean and Alexander Heard Library Leveraged Proposal Organization and Development Limited Submission Opportunities Post-Award: Funded Proposals Pre-Award: Proposal Development and Submission Research IT Search External Funding Opportunities Technology Transfer and Commercialization Vanderbilt Institute for Digital Learning Vanderbilt University Press Initiatives Academic Strategic Plan Provosts Initiative to Enhance Research and Scholarship (PIERS) Oak Ridge National Laboratory Strategic Partnerships Research News Education and Psychology Engineering and Technology Health and Medicine Humanities Law, Business, and Politics Life, Earth, and Space Society and Culture Office of the Vice Provost for Research, Padma Raghavan Padma Raghavan, Ph.D., M.S., was appointed Vice Provost forResearch at Vanderbilt University in February 2016. As Vice Provost for Research at Vanderbilt, she oversees the universitys research portfolio, commercialization and technology transfer, trans-institutional centers and institutes and implementation of the universitys new future vision through the Academic Strategic Plan . Raghavan works closely with Vanderbilt leadership and faculty to advance research and scholarship university-wide. Vanderbilt faculty are recognized for pioneering research, scholarship, and leadership in higher education. My goal is to promote Vanderbilts distinctive research culture, which aspires to improve the human condition through path-breaking discovery and innovation. My office develops strategies and provides services to enhance extramural support for research and advanced studies from all sources corporate, foundation, federal, and philanthropic, advance a cohesive and vibrant trans-institutional research agenda, and build strategic partnerships around shared priorities in research. I also engage with the Vanderbilt University Research Council to advocate for the research and scholarship missions of all disciplines at Vanderbilt. For inquiries, please contact the Office of the Vice Provost for Research at ovpr@vanderbilt.edu . For Vanderbilt research news, please see Research News @ Vanderbilt or sign up for the Research News @ Vanderbilt email newsletter . In addition to her appointment as Vice Provost for Research at Vanderbilt, Raghavan is also a Professor of Computer Science and Computer Engineering in the Vanderbilt School of Engineering. She specializes in supercomputing and its applications with a particular focus on energy-efficiency and scalable algorithms that operate on very large but sparse data sets including graphs and matrices. Raghavan is an active researcher, mentor, and leader in the profession. She has supervised over 40 M.S. and Ph.D. theses, authored over 100 peer-reviewed publications, and currently serves on the Advisory Board of the Computing and Information Science and Engineering Directorate of the National Science Foundation and the National Academys Panel for the Review of Information Technologies at the National Institute of Standards and Technology (NIST). Raghavan has also received several awards for her work, including being elevated to a Fellow of the IEEE (Institute of Electrical and Electronics Engineers) in 2013 for her contributions to robust scalable sparse solvers and energy-efficient parallel scientific computing. Prior to joining Vanderbilt, Raghavan served as the Associate Vice President for Research and Strategic Initiatives, the founding Director of the university-wide Institute for CyberScience, and Distinguished Professor of Computer Science and Engineering at the Pennsylvania State University. Assisted by Anne-Marie Gebel anne-marie.gebel@vanderbilt.edu . Office of the Vice Provost for Research Staff OVPR OrganizationalChart Douglas C. Schmidt Associate Provost for Research Development and Technologies Douglas C. Schmidt, Ph.D., M.S., M.A., M.A., is the Cornelius Vanderbilt Professor of Engineering and Associate Provost for Research Development and Technologies.In his role as Associate Provost, Schmidt develops cohesive and sustainable information technology (IT) services to advance research and scholarship across Vanderbilts ten schools and colleges, including scalable and secure storage, processing, and communication solutions; big data research cores and core-related services, and NIST 800-171 compliant IT services. Schmidt came to Vanderbilt in 2003 and became Associate Provost in the Office of the Vice Provost for Research in July 2018.Prior to joining Vanderbilt, Schmidt served as Program Manager at the Defense Advanced Research Projects Agency (DARPA) and co-chaired the Software Design and Productivity Coordinating Group of the U.S. governments multi-agency Networking and Information Technology Research and Development Program.Schmidt also served as Chief Technology Officer and Deputy Director for the Software Engineering Institute at Carnegie Mellon University, as well as a professor at Washington University St. Louis and the University of California Irvine. Schmidt continues to be an active researcher and educator in Vanderbilts Computer Science program, focusing on software-related topics, such as patterns, optimization techniques, and empirical analyses of frameworks and model-driven engineering tools that facilitate the development of mission-critical middleware and mobile cloud computing applications.He has graduated over 40 Ph.D. and M.S. students, as well as published over 10 books and more than 600 technical papers that have been cited over 39,000 times. Schmidt can be reached by phone at 615-322-3942 and by email at d.schmidt@vanderbilt.edu . Janiece Harrison Assistant Provost of Research Operations and Director of Sponsored Programs Administration Janiece Harrison is Director of Sponsored Programs Administration, the unit responsible for pre-award services for grants and contracts at Vanderbilt University, and she serves as Assistant Provost of Research Operations, coordinating various research support services that have natural linkages and should be leveraged. She oversees Global Support Services, the Research Integrity Program, works closely with the Office of Contract and Grant Accounting on post-award and reporting functions, and gathers input from our researchers and staff to represent research administrations IT needs in the SkyVU project. Janiececan be reached by phone at 615-322-1722 and by email at janiece.harrison@vanderbilt.edu . Jane Hirtle Special Projects Manager Jane Hirtle assists the Vice Provost for Research with special projects, including strategic planning, office and organizational development, and strategic communications with Vanderbilt faculty. Prior to joining the Office of the Vice Provost for Research in March 2018, Jane managed the Evaluation & Assessment team in the Office of Undergraduate Medical Education at Vanderbilt University School of Medicine. Jane is a triple Vanderbilt graduate with a Bachelors in English and Psychology, a Masters in Psychology, and a PhD in Psychology. Her graduate research centered on cognitive and motor development in infancy, particularly the development of tool use in late infancy. She has been involved with a number of Vanderbilt organizations including the Writing Studio and Center for Teaching, and has been supporting faculty, teaching and coaching students of all levels, and managing large-scale research and administrative projects at Vanderbilt for the past 10 years. Jane can be reached by phone at 615-343-1343 and by email at jane.a.hirtle@vanderbilt.edu . Office of the Vice Provost for Research (615) 343-1339 121 Kirkland Hall Nashville, TN 37240 ovpr@vanderbilt.edu 2019 Vanderbilt University Site Development: University Web Communications Vanderbilt University is committed to principles of equal opportunity and affirmative action. Vanderbilt, Vanderbilt University, V Oak Leaf Design, Star V Design and Anchor Down are trademarks of The Vanderbilt University. 2016 Vanderbilt University. All rights reserved. diff --git a/src/data/compiled_bios/3685.txt b/src/data/compiled_bios/3685.txt new file mode 100644 index 0000000000..ee5b8a938d --- /dev/null +++ b/src/data/compiled_bios/3685.txt @@ -0,0 +1 @@ + Robert Reed Professor of Electrical Engineering Director of Graduate Studies in Electrical Engineering Electrical Engineering and Computer Science Intellectual Neighborhoods Nano Science and Technology Risk and Reliability Research Focus The overarching theme of our research is to study the basic physical mechanisms for SEEs to enable improvements in test methods and models for predicting the performance of circuits when exposed to complex radiation environments. Research AddThis Sharing Buttons Share to Twitter Twitter Share to Facebook Facebook Share to LinkedIn LinkedIn Share to Reddit Reddit Share to Email Email Share to PrintFriendly PrintFriendly Share to More AddThis : diff --git a/src/data/compiled_bios/3686.txt b/src/data/compiled_bios/3686.txt new file mode 100644 index 0000000000..342d97cbac --- /dev/null +++ b/src/data/compiled_bios/3686.txt @@ -0,0 +1 @@ + Home Research Projects Publications Sponsors Students Courses Professional Activities Curriculum Vitae Address Information Links Assoc. Professor of Electrical Engineering Assoc. Professor of Computer Engineering Dept of Electrical Engineering and Computer Science Vanderbilt University School of Engineering Office location: 248 Featheringill Hall Office phone: (615) 322-1507 Office fax: (615) 343-6702 Email: william.h.robinson@vanderbilt.edu Brief Biography Dr. William H. Robinson received his B.S. in electrical engineering from the Florida Agricultural and Mechanical University in 1996 and his M.S. in electrical engineering from the Georgia Institute of Technology (Georgia Tech) in 1998. He received his Ph.D. in electrical and computer engineering from Georgia Tech in 2003. His dissertation was directed by Dr. D. Scott Wills who co-led the Embedded Computer Vision and Surveillance Systems (ECVASS) research group (formerly the Portable Image Computation Architectures (PICA) research group) until 2011 . In August 2003, Dr. Robinson joined the Department of Electrical Engineering and Computer Science at Vanderbilt University as an Assistant Professor, and was promoted to Associate Professor in 2010. Dr. Robinson leads the Security And Fault Tolerance (SAF-T) Research Group at Vanderbilt University, whose mission is to conduct transformational research that addresses the reliability and security of computing systems. He is a member of the Radiation Effects and Reliability (RER) research group and collaborates with both the Institute for Space and Defense Electronics (ISDE) and the Institute for Software Integrated Systems (ISIS) at Vanderbilt University. He also participates with the Team for Research in Ubiquitous Secure Technology (TRUST) where he serves as the Outreach Director. His research explores the hardware and software tradeoffs to improve system performance, system reliability, and system security. Topics of interest include computer architecture design, integrated circuit (IC) design, rapid prototyping using field-programmable gate arrays (FPGAs), secure hardware platform design, radiation-hardening-by-design for digital circuitry, and mitigation of single event effects. Dr. Robinsons major honors include a National Science Foundation CAREER Award and selection for DARPAs Computer Science Study Panel . He was also a recipient of a Career Initiation Grant from the Facilitating Academic Careers in Engineering and Science (FACES) Program at Georgia Tech. Dr. Robinson is a senior member of the Institute of Electrical and Electronics Engineers (IEEE) and participates in the Computer Society , the Education Society , and the Nuclear and Plasma Sciences Society . He is also a senior member of the Association for Computing Machinery (ACM) , and participates in the Special Interest Group on Computer Architecture . Other professional memberships include the American Society for Engineering Education (ASEE) and the National Society of Black Engineers (NSBE) . For more information, please contact Dr. William H. Robinson diff --git a/src/data/compiled_bios/3687.txt b/src/data/compiled_bios/3687.txt new file mode 100644 index 0000000000..1e8dd8ed6f --- /dev/null +++ b/src/data/compiled_bios/3687.txt @@ -0,0 +1 @@ + Douglas C. Schmidt d.schmidt@vanderbilt.edu Cornelius Vanderbilt Professor of Engineering (Computer Science), Associate Provost of Research , and Data Science Institute Co-Director at Vanderbilt University 1025, 16th Ave So., Nashville, TN 37212 Institute for Software Integrated Systems (ISIS) (615) 343-7472 Biographical Information Research Overview Courses & Tutorials MOOCs & Digital Learning Patterns & Frameworks ACE , TAO , & CIAO CV/Resume & Publications Multimedia Presentations diff --git a/src/data/compiled_bios/3688.txt b/src/data/compiled_bios/3688.txt new file mode 100644 index 0000000000..4794e8edd0 --- /dev/null +++ b/src/data/compiled_bios/3688.txt @@ -0,0 +1 @@ + Ronald D. Schrimpf Professor of Electrical Engineering Vanderbilt University Box 1608, Station B Nashville, TN 37235 Ron Schrimpf is a Professor of Electrical Engineering at Vanderbilt University , where his research activities focus on microelectronics and semiconductor devices. In particular, he has a very active research program dealing with the effects of radiation on semiconductor devices and integrated circuits. The Radiation Effects and Reliability Group at Vanderbilt is the largest of its type at any US University. Current projects include application and development of Technology Computer Aided Design (TCAD) tools for radiation effects, use of high performance parallel computing to simulate single-event effects and soft errors in integrated circuits, atomic-scale modeling of radiation-induced defects, very low dose-rate (spacelike) effects on bipolar and MOS integrated circuits, total-dose and single-event effects in power devices and circuits, and development of radiation-effects and hardness-assurance test methodologies. Ron is the Director of the Institute for Space and Defense Electronics (ISDE). The engineering staff of ISDE performs design, analysis, and modeling work for a variety of space- and defense-oriented organizations. He received his BEE, MSEE, and Ph.D. degrees from the University of Minnesota in 1981, 1984, and 1986, respectively. He joined the University of Arizona in 1986, where he served as a Professor of Electrical and Computer Engineering. He joined Vanderbilt in 1996 and was an Invited Professor at the University of Montpellier II, France, in 2000 Contact Information ron.schrimpf@vanderbilt.edu Phone: (615) 343-0507 Fax: (615) 343-0601 Honors and Awards Chancellor's Award for Research, Vanderbilt University, 2003. Elected a Fellow of the IEEE in 2000 "for contributions to the understanding and the modeling of physical mechanisms governing the response of semiconductor devices to radiation exposure." 1996 IEEE Nuclear and Plasma Sciences Society Early Achievement Award. Outstanding Paper Awards, 1991, 1996, and 1998 IEEE Nuclear and Space Radiation Effects Conferences. Meritorious Paper Awards, 1994, 1995, 1996, 1997, 2001, and 2002 IEEE Nuclear and Space Radiation Effects Conferences. Outstanding Oral Presentation, 1995 IEEE Nuclear and Space Radiation Effects Conference. Outstanding Poster Presentation, 1995 IEEE Nuclear and Space Radiation Effects Conference. Outstanding Paper Award, Power Semiconductors, 1989 IEEE Industrial Applications Conference. American Electronics Association Faculty Development Fellowship, 1985. Tau Beta Pi (Elected 10/80); Eta Kappa Nu (Elected 10/79). Selected Professional Activities Chairman, IEEE Radiation Effects Steering Group, 2003-2006. Past Chairman, IEEE Radiation Effects Steering Group, 2006-2009. Executive Vice-Chairman, IEEE Radiation Effects Steering Group, 2000-3. General Chairman, 1999 IEEE Nuclear and Space Radiation Effects Conference . Technical Program Chairman, 1996 IEEE Nuclear and Space Radiation Effects Conference. Guest Editor, December issue of IEEE Transactions on Nuclear Science, 1993-95. Member, technical program committees for the 1993-94 IEEE International Electron Devices Meetings and 1988-94 IEEE Bipolar Circuits and Technology Meetings. Publications Journal Articles and Book Chapters 1985 , 1986, 1987 , 1988 , 1989 , 1990 , 1991 , 1992 , 1993 , 1994 , 1995 , 1996 , 1997 , 1998 , 1999 , 2000 , 2001 , 2002 , 2003 , 2004 , 2005 , 2006 , 2007 Conference Proceedings and Presentations 1986 , 1987, 1988, 1989 , 1990 , 1991 , 1992 , 1993 , 1994 , 1995 , 1996 , 1997 , 1998 , 1999 , 2000 , 2001 , 2002 , 2003 , 2004 , 2005 , 2006 Book R. D. Schrimpf and D. M. Fleetwood, Eds., "Radiation Effects and Soft Errors in Integrated Circuits and Electronic Devices," World Scientific, Singapore, 2004. Patents diff --git a/src/data/compiled_bios/3689.txt b/src/data/compiled_bios/3689.txt new file mode 100644 index 0000000000..9f27cda5b1 --- /dev/null +++ b/src/data/compiled_bios/3689.txt @@ -0,0 +1 @@ + Jerry Spinrad Associate Professor of Computer Science Vanderbilt University Nashville, TN 37235, USA My research interests are in the area of graph algorithms. I am particularly interested in recognition algorithms for classes of graphs with interesting representations. Examples of classes of graphs I work with include permutation graphs, comparability graphs, circular-arc graphs, circle graphs, trapezoid graphs, and two dimensional partial orders. If you are interested in this type of research, you might look at some web files which I will try to get started here . I received a BS in Computer Science from Yale University and a PhD in Computer Science from princeton University in 1978 and 1982 respectively. You will find a list of my journal publications here . Phone: (615) 322-6590 FAX: (615) 343-8006 Email: spin@vuse.vanderbilt.edu diff --git a/src/data/compiled_bios/369.txt b/src/data/compiled_bios/369.txt new file mode 100644 index 0000000000..e94bc42538 --- /dev/null +++ b/src/data/compiled_bios/369.txt @@ -0,0 +1 @@ +Name: Mazidi, Karen:: Position: Senior Lecturer:: Degrees: Ph.D., Computer Science and Engineering, University of North Texas; M.S., Computer Science, University of North Texas; B.A., Computer Science, Baylor University; Research Interests: Natural Language Processing; Machine Learning; Artificial Intelligence; Recent Awards: Nominee Best Paper, 2016 Intelligent Tutoring Systems Conference; Grace Hopper Scholar 2015; UNT Graduate Exhibition, 1st Place 2014; Representative Publications: Karen Mazidi and Paul Tarau (2016), Infusing NLU into Automatic Question Generation, International Natural Language Generation Conference Edinburgh, Scotland , September 2016.; Karen Mazidi and Paul Tarau (2016), Automatic Question Generation: From NLU to NLG, Intelligent Tutoring Systems Conference, Zagreb, Croatia, June 2016.; Karen Mazidi and Rodney Nielsen (2015) Leveraging Multiple Views of Text for Automatic Question Generation, Artificial Intelligence in Education Conference, Madrid, Spain, June 2015.; Karen Mazidi and Rodney Nielsen (2014), Linguistic Considerations in Automatically Generated Questions, Association for Computational Linguistics Conference, Baltimore Maryland, June 2014.; Karen Janice Mazidi and Muhammad Ali Mazidi. X86 PC: Assembly Language, Design and Interfacing, 5th edition 2010.; Notable Service: UTD WMWE Women Mentoring Women in Engineering; Reviewer, IEEE Transactions Learning Technologies; NAACL Co-Chair Student Research Workshop 2015; diff --git a/src/data/compiled_bios/3690.txt b/src/data/compiled_bios/3690.txt new file mode 100644 index 0000000000..c2ee1fc96e --- /dev/null +++ b/src/data/compiled_bios/3690.txt @@ -0,0 +1 @@ + Janos Sztipanovits E. Bronson Ingram Distinguished Professor of Engineering Professor of Computer Science Professor of Electrical Engineering Professor of Computer Engineering Director, Institute for Software Integrated Systems Electrical Engineering and Computer Science Intellectual Neighborhoods Risk and Reliability Big Data Science and Engineering Cyber-physical Systems Research Focus Embedded software, Structurally adaptive systems, Model-integrated computing AddThis Sharing Buttons Share to Twitter Twitter Share to Facebook Facebook Share to LinkedIn LinkedIn Share to Reddit Reddit Share to Email Email Share to PrintFriendly PrintFriendly Share to More AddThis : diff --git a/src/data/compiled_bios/3691.txt b/src/data/compiled_bios/3691.txt new file mode 100644 index 0000000000..2ee5c447f5 --- /dev/null +++ b/src/data/compiled_bios/3691.txt @@ -0,0 +1 @@ + Toggle navigation Search This Site Search All VU Explore VU Vanderbilt Home About Admissions Academics Research Students Faculty & Staff Athletics News & Events Get Social @Vanderbilt Skip to main content About Us About Us Dean's Office Departmentsand Programs Invited Lectures Alumni Fact Sheet Board of Visitors Dean's Philanthropic Priorities Buildings Map Faculty Openings Academics Overview Undergraduate Graduate Degree Programs Undergrad Admissions Design Day Study Abroad Academic Services Research Experiences for Teachers Research Research Research Videos Strategic Research Areas Expert Sources Centers, Institutes, Groups, and Labs Undergraduate Research Industrial Partners International Initiative News Latest News Research News Expert Sources Fact Sheet E-Newsletter Publications Podcasts and Videos News Archive Evacuation Plans Admissions Admissions Overview About Engineering Undergraduate Graduate Financial Aid Degrees Life in Music City Resources Academic Services Incoming Students Undergraduates Graduate Students Faculty/Staff Resources Alumni Parents New Building Info Contact Us Contact Us Faculty AdminStaff Post Docs Dean's Office Giving Departments Centers, Institutes & Groups Make a Gift Hmmm... we can't find that page. Check the address for a typo: https://engineering.vanderbilt.edu/eecs/people/sharonweiss/index.htm Check the navigation links above. Returning to the previous page. Searching our site: Go Recent News Emeritus Professor James Wert was leader in metallurgical engineering Fauchet advocates for STEM education and federal research support Alumnus elected to the National Academy of Engineering Baroud named 1 of 3 new Chancellor Public Voices U.S. Army Engineer R&D Center chief scientist to give Parker Lecture Feb. 5 MORE Connect with Vanderbilt Facebook Twitter Instagram YouTube Flickr Tumblr RSS Feed Creating Solutions Cyber-physical Systems Biomedical Imaging & Biophotonics Rehabilitation Engineering Nanoscience and Nanotechnology Risk, Reliability and Resilience Big Data Science and Engineering Regenerative Medicine Surgery and Engineering Energy and Natural Resources Resources Meet our Faculty Explore Degree Programs Explore Solutions 2019Vanderbilt University All rights reserved. Site Development: Digital Strategies (Division of Communications) Vanderbilt University is committed to principles of equal opportunity and affirmative action. Accessibility information . Vanderbilt, Vanderbilt University, V Oak Leaf Design, Star V Design and Anchor Down are trademarks of The Vanderbilt University diff --git a/src/data/compiled_bios/3692.txt b/src/data/compiled_bios/3692.txt new file mode 100644 index 0000000000..9ede2b0306 --- /dev/null +++ b/src/data/compiled_bios/3692.txt @@ -0,0 +1 @@ + Jules White Associate Professor of Computer Science Electrical Engineering and Computer Science Intellectual Neighborhoods Big Data Science and Engineering Cyber-physical Systems AddThis Sharing Buttons Share to Twitter Twitter Share to Facebook Facebook Share to LinkedIn LinkedIn Share to Reddit Reddit Share to Email Email Share to PrintFriendly PrintFriendly Share to More AddThis : diff --git a/src/data/compiled_bios/3693.txt b/src/data/compiled_bios/3693.txt new file mode 100644 index 0000000000..f49a9f89eb --- /dev/null +++ b/src/data/compiled_bios/3693.txt @@ -0,0 +1 @@ + D. Mitchell Wilkes Associate Professor of Electrical Engineering Associate Professor of Computer Engineering Electrical Engineering and Computer Science Research Focus Digital signal processing, image processing and computer vision, digital signal processing hardware, structurally adaptive systems, sonar, signal modeling AddThis Sharing Buttons Share to Twitter Twitter Share to Facebook Facebook Share to LinkedIn LinkedIn Share to Reddit Reddit Share to Email Email Share to PrintFriendly PrintFriendly Share to More AddThis : diff --git a/src/data/compiled_bios/3694.txt b/src/data/compiled_bios/3694.txt new file mode 100644 index 0000000000..9096d64d40 --- /dev/null +++ b/src/data/compiled_bios/3694.txt @@ -0,0 +1 @@ + James Wittig Associate Professor of Materials Science and Engineering Electrical Engineering and Computer Science Research Focus Undercool-rapid-quench processing, magnetic materials, analytical electron AddThis Sharing Buttons Share to Twitter Twitter Share to Facebook Facebook Share to LinkedIn LinkedIn Share to Reddit Reddit Share to Email Email Share to PrintFriendly PrintFriendly Share to More AddThis : diff --git a/src/data/compiled_bios/3695.txt b/src/data/compiled_bios/3695.txt new file mode 100644 index 0000000000..1e986a6f46 --- /dev/null +++ b/src/data/compiled_bios/3695.txt @@ -0,0 +1 @@ + Optoelectronics Lab Skip to content Home Contact Us People Former Members Publications Research Teaching Home Weinvestigate electrical andoptoelectronic properties oflow-dimensional materials and explore their applications in biomedical and energy conversion fields. February 2019 S M T W T F S 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 Optoelectronics Lab Proudly powered by WordPress. diff --git a/src/data/compiled_bios/3696.txt b/src/data/compiled_bios/3696.txt new file mode 100644 index 0000000000..463c624620 --- /dev/null +++ b/src/data/compiled_bios/3696.txt @@ -0,0 +1 @@ + Daniel Arena Associate Professor of the Practice of Computer Science Electrical Engineering and Computer Science Research Focus Computer Science Education Research, Web Design & Development Biography Dan Arena is associate professor of the practice of computer science at Vanderbilt University. A National Merit Scholarship recipient, he received his bachelors in computer science (and music) from Rutgers University in New Jersey where he graduated 45th in a class of 2200 students. After working as a C++ Programmer at AT&T for a year, he returned to graduate school at Rutgers University on a Garden State Fellowship where he began his teaching career. After moving to Nashville, TN with his wife, he accepted a position at Volunteer State Community College where he became the youngest faculty member to receive the Outstanding Faculty Award for his teaching excellence and college service. As an associate professor at VolState, he became immersed in online education and served on the development team that helped launch the TN Regents Online Degree Program, the first fully online degree program offered by the State of Tennessee. He was recognized by the TN Board of Regents with the Trailblazer Award for his efforts in online education and research. In 2016, he accepted a position at Vanderbilt University so he could return to the classroom and do what he loves most teach. He was the 2018 recipient of the Excellence in Teaching Award from the Vanderbilt University School of Engineering. Trivia: During his time in Nashville, in addition to being an Associate Professor of Computer Science at VolState, Dan Arena and his wife, Sara were also well-known among professional songwriting circles, having been staffwriters for Warner/Chappell Music and Curb/Magnatone Music. He composed several songs for the musical "Urban Cowboy" which opened on Broadway and he was nominated for an Outer Critics Circle Award for Best Musical and a Tony Award for Best Original Score. AddThis Sharing Buttons Share to Twitter Twitter Share to Facebook Facebook Share to LinkedIn LinkedIn Share to Reddit Reddit Share to Email Email Share to PrintFriendly PrintFriendly Share to More AddThis : diff --git a/src/data/compiled_bios/3697.txt b/src/data/compiled_bios/3697.txt new file mode 100644 index 0000000000..84e5a411c2 --- /dev/null +++ b/src/data/compiled_bios/3697.txt @@ -0,0 +1 @@ + A.B. Bonds Lecturer in Electrical Engineering Professor of Electrical Engineering, Emeritus Professor of Computer Engineering, Emeritus Professor of Biomedical Engineering, Emeritus Electrical Engineering and Computer Science Research Focus Information processing in the brain. AddThis Sharing Buttons Share to Twitter Twitter Share to Facebook Facebook Share to LinkedIn LinkedIn Share to Reddit Reddit Share to Email Email Share to PrintFriendly PrintFriendly Share to More AddThis : diff --git a/src/data/compiled_bios/3698.txt b/src/data/compiled_bios/3698.txt new file mode 100644 index 0000000000..bc6f96bc02 --- /dev/null +++ b/src/data/compiled_bios/3698.txt @@ -0,0 +1 @@ + Ralph Bruce Professor of the Practice of Electrical Engineering Electrical Engineering and Computer Science Intellectual Neighborhoods Energy and Natural Resources Nano Science and Technology AddThis Sharing Buttons Share to Twitter Twitter Share to Facebook Facebook Share to LinkedIn LinkedIn Share to Reddit Reddit Share to Email Email Share to PrintFriendly PrintFriendly Share to More AddThis : diff --git a/src/data/compiled_bios/3699.txt b/src/data/compiled_bios/3699.txt new file mode 100644 index 0000000000..ac3b753ff2 --- /dev/null +++ b/src/data/compiled_bios/3699.txt @@ -0,0 +1 @@ + Toggle navigation Search This Site Search All VU Explore VU Vanderbilt Home About Admissions Academics Research Students Faculty & Staff Athletics News & Events Get Social @Vanderbilt Skip to main content About Me Contact Me Current Courses Curriculum Vitae News Publications Research Interests Upcoming Events Dr. Uttam Ghosh Assistant Professor of the Practice Department of EECS Dr. Uttam Ghosh joined Vanderbilt University as an Assistant Professor of the Practice of Electrical Engineering and Computer Science in January 2018. Dr. Ghosh obtained his PhD in Electronics and Electrical Engineering from the Indian Institute of Technology Kharagpur, India in 2013, and has Post-doctoral experience at the University of Illinois in Urbana-Champaign, Fordham University, and Tennessee State University. His main research interests include Cybersecurity, Computer Networks, Wireless Networks, Information Centric Networking and Software-Defined Networking. He is actively working with VECTOR Vanderbilt University TennSMART consortium is designed to accelerate Intelligent Mobility in Tennessee. Dr. Ghosh is selected for Junior Faculty Teaching Fellow for 2018-19 in Vanderbilt University. He is also serving as Associate Editor and Reviewers of reputed journals and conferences. He is a member of the AAAS, ASEE, IEEE and ACM. Recent Posts Workshop on Blockchain for Software Defined Cyber-Physical Systems (in conjunction with IEEE 5th International Conference of Smartcomp, 2019) 12th IEEE International Conference on Cyber, Physical and Social Computing Special Session on Human Interactions for Softwarized Cyber-Physical Systems (CPSCOMHISCPS) Recent Comments Archives January 2019 Categories News Meta Register Log in Entries RSS Comments RSS WordPress.org Your Vanderbilt Alumni Current Students Faculty & Staff International Students Media Parents & Family Prospective Students Researchers Sports Fans Visitors & Neighbors Quick Links PeopleFinder Libraries News Calendar Maps A-Z 2019 Vanderbilt University All rights reserved. Site Development: Digital Strategies (Division of Communications) Vanderbilt University is committed to principles of equal opportunity and affirmative action. Accessibility information . Vanderbilt, Vanderbilt University, V Oak Leaf Design, Star V Design and Anchor Down are trademarks of The Vanderbilt University diff --git a/src/data/compiled_bios/37.txt b/src/data/compiled_bios/37.txt new file mode 100644 index 0000000000..e1511e5cc8 --- /dev/null +++ b/src/data/compiled_bios/37.txt @@ -0,0 +1 @@ + John C Hart Professor 3227 Siebel Center for Comp Sci 201 N. Goodwin Ave. Urbana Illinois 61801 (217) 333-8740 jch@illinois.edu Director of Online and Professional Programs 3227 Siebel Center for Comp Sci 201 N. Goodwin Ave. Urbana Illinois 61801 (217) 333-8740 jch@illinois.edu : Research Areas CS Education Graphics, Visualization and HCI For more information Major Consulting Activities Consultant - Pratt & Whitney - Hartford, CT - 2011 Graphics Hardware Expert, through Sidley Austin LLP - Microsoft, 2010 Consultant - SAIC - Champaign, IL - June-Sep. 2008 Visiting researcher - Adobe Systems, Inc. - Seattle, WA - June 1, 2007 - November 2, 2007 Consultant - The Teaching Company - Chantilly, VA - 2003 . Research Areas CS Education Graphics, Visualization and HCI For more information . . For more information . diff --git a/src/data/compiled_bios/370.txt b/src/data/compiled_bios/370.txt new file mode 100644 index 0000000000..ad3eb8fe2d --- /dev/null +++ b/src/data/compiled_bios/370.txt @@ -0,0 +1 @@ +Name: McMahan, Ryan:: Position: Associate Professor:: Degrees: Ph.D., Computer Science, Virginia Tech, 2011; M.S., Computer Science, Virginia Tech, 2007; B.S., Computer Science, Virginia Tech, 2004; Research Interests: Virtual Reality (VR); Training Transfer; 3D User Interfaces (3DUIs); Human-Computer Interaction (HCI); Major Honors and Awards: Faculty Early Career Development (CAREER) Award, National Science Foundation, 2016 2021; Provosts Award for Faculty Excellence in Undergraduate Research Mentoring, The University of Texas at Dallas, May 2016; Outstanding Faculty Teaching Award,Erik Jonsson School of Engineering and Computer Science, The University of Texas at Dallas, May 2016; Internet of Things (IoT) Technology Research Award, Google, April 2016; Certificate of Recognition for Outstanding Teaching and Service to the Department, Dept. of Computer Science, The University of Texas at Dallas, December 2015; Representative Publications: J. Howell, N. S. Herrera, A. G. Moore, and R. P. McMahan, A reproducible olfactory display for exploring olfaction in immersive media experiences, Multimedia Tools and Applications, pp. 1-20, 2015.; Lai and R. P. McMahan, Virtual Reality Ladder Climbing for Mine Safety Training, in 37th International Symposium on the Application of Computers and Operations Research in the Mineral Industry (APCOM), 2015, pp. 754-760.; A. Bowman, R. P. McMahan, and E. D. Ragan, Questioning Naturalism in 3D User Interfaces, Communications of the ACM, vol. 55, iss. 9, pp. 78-88, 2012.; P. McMahan, D. A. Bowman, D. J. Zielinski, and R. B. Brady, Evaluating Display Fidelity and Interaction Fidelity in a Virtual Reality Game, IEEE Transactions on Visualization and Computer Graphics, vol. 18, iss. 4, pp. 626-633, 2012.; A. Bowman and R. P. McMahan, Virtual Reality: How Much Immersion Is Enough?, Computer, vol. 40, iss. 7, pp. 36-43, 2007.; Notable Service: Associate Editor, International Journal of Human-Computer Studies (IJHCS), 2014 Present; Review Editor, Frontiers in Virtual Environments, 2014 Present; Organizing Committee, IEEE Virtual Reality Conference (VR); ; Web Co-chair, 2016; Publication Co-chair, 2015; Videos Co-chair, 2014; Student Volunteers Co-chair, 2007 2008; ; ; Organizing Committee, IEEE Symposium on 3D User Interfaces (3DUI); ; 3DUI Contest Co-chair, 2016 2017; ; ; diff --git a/src/data/compiled_bios/3700.txt b/src/data/compiled_bios/3700.txt new file mode 100644 index 0000000000..715678ebfa --- /dev/null +++ b/src/data/compiled_bios/3700.txt @@ -0,0 +1 @@ + Graham Hemingway Assistant Professor of the Practice of Computer Science Electrical Engineering and Computer Science Intellectual Neighborhoods Cyber-physical Systems Research Focus model integrated computing, software integrated systems AddThis Sharing Buttons Share to Twitter Twitter Share to Facebook Facebook Share to LinkedIn LinkedIn Share to Reddit Reddit Share to Email Email Share to PrintFriendly PrintFriendly Share to More AddThis : diff --git a/src/data/compiled_bios/3701.txt b/src/data/compiled_bios/3701.txt new file mode 100644 index 0000000000..f76e383528 --- /dev/null +++ b/src/data/compiled_bios/3701.txt @@ -0,0 +1 @@ + Vanderbilt University School of Engineering Vanderbilt Home Engineering Home Search VU Dr. Julie Johnson GO Page Navigation Can I complete the major? Home Page Replacing ES1400 CS Program Information Contact Me Current Courses Curriculum Vitae Associate Professor of the Practice of Computer Science Director of Undergraduate Studies in CS Education Ph.D. Computer Science, Vanderbilt University -2003 M.S. Computer Science, Auburn University -1997 B.S. Computer Science, Dickinson College -1985 CS DUS News CS Grader application for Spring 2019 now available; due 12/16/2018 Your Vanderbilt Alumni Current Students Faculty & Staff International Students Media Parents & Family Prospective Students Researchers Sports Fans Visitors & Neighbors 2019 Vanderbilt University Site Development: University Web Communications diff --git a/src/data/compiled_bios/3702.txt b/src/data/compiled_bios/3702.txt new file mode 100644 index 0000000000..d3f8973935 --- /dev/null +++ b/src/data/compiled_bios/3702.txt @@ -0,0 +1 @@ + Amy Kauppila Assistant Professor of the Practice of Computer Engineering Electrical Engineering and Computer Science Intellectual Neighborhoods Risk and Reliability Research Focus radiation effects on integrated circuits, computers and ethics AddThis Sharing Buttons Share to Twitter Twitter Share to Facebook Facebook Share to LinkedIn LinkedIn Share to Reddit Reddit Share to Email Email Share to PrintFriendly PrintFriendly Share to More AddThis : diff --git a/src/data/compiled_bios/3703.txt b/src/data/compiled_bios/3703.txt new file mode 100644 index 0000000000..62fb4c4242 --- /dev/null +++ b/src/data/compiled_bios/3703.txt @@ -0,0 +1 @@ + Dominique Piot Lecturer in Electrical Engineering and Computer Science Electrical Engineering and Computer Science AddThis Sharing Buttons Share to Twitter Twitter Share to Facebook Facebook Share to LinkedIn LinkedIn Share to Reddit Reddit Share to Email Email Share to PrintFriendly PrintFriendly Share to More AddThis : diff --git a/src/data/compiled_bios/3704.txt b/src/data/compiled_bios/3704.txt new file mode 100644 index 0000000000..7ed4093634 --- /dev/null +++ b/src/data/compiled_bios/3704.txt @@ -0,0 +1 @@ + Toggle navigation Search This Site Search All VU Explore VU Vanderbilt Home About Admissions Academics Research Students Faculty & Staff Athletics News & Events Get Social @Vanderbilt Skip to main content About Us About Us Dean's Office Departmentsand Programs Invited Lectures Alumni Fact Sheet Board of Visitors Dean's Philanthropic Priorities Buildings Map Faculty Openings Academics Overview Undergraduate Graduate Degree Programs Undergrad Admissions Design Day Study Abroad Academic Services Research Experiences for Teachers Research Research Research Videos Strategic Research Areas Expert Sources Centers, Institutes, Groups, and Labs Undergraduate Research Industrial Partners International Initiative News Latest News Research News Expert Sources Fact Sheet E-Newsletter Publications Podcasts and Videos News Archive Evacuation Plans Admissions Admissions Overview About Engineering Undergraduate Graduate Financial Aid Degrees Life in Music City Resources Academic Services Incoming Students Undergraduates Graduate Students Faculty/Staff Resources Alumni Parents New Building Info Contact Us Contact Us Faculty AdminStaff Post Docs Dean's Office Giving Departments Centers, Institutes & Groups Make a Gift Hmmm... we can't find that page. Check the address for a typo: https://engineering.vanderbilt.edu/eecs/people/jerryroth/ Check the navigation links above. Returning to the previous page. Searching our site: Go Recent News Emeritus Professor James Wert was leader in metallurgical engineering Fauchet advocates for STEM education and federal research support Alumnus elected to the National Academy of Engineering Baroud named 1 of 3 new Chancellor Public Voices U.S. Army Engineer R&D Center chief scientist to give Parker Lecture Feb. 5 MORE Connect with Vanderbilt Facebook Twitter Instagram YouTube Flickr Tumblr RSS Feed Creating Solutions Cyber-physical Systems Biomedical Imaging & Biophotonics Rehabilitation Engineering Nanoscience and Nanotechnology Risk, Reliability and Resilience Big Data Science and Engineering Regenerative Medicine Surgery and Engineering Energy and Natural Resources Resources Meet our Faculty Explore Degree Programs Explore Solutions 2019Vanderbilt University All rights reserved. Site Development: Digital Strategies (Division of Communications) Vanderbilt University is committed to principles of equal opportunity and affirmative action. Accessibility information . Vanderbilt, Vanderbilt University, V Oak Leaf Design, Star V Design and Anchor Down are trademarks of The Vanderbilt University diff --git a/src/data/compiled_bios/3705.txt b/src/data/compiled_bios/3705.txt new file mode 100644 index 0000000000..26d39c23db --- /dev/null +++ b/src/data/compiled_bios/3705.txt @@ -0,0 +1 @@ + Vikash Singh Assistant Professor of the Practice of Computer Science Electrical Engineering and Computer Science Biography Dr. Vikash Singhs research interests include Human-Computer Interaction, collaboration tools and computer science pedagogy. His recent research has focused on team-based and video-centered active learning. He has received National Science Foundation I-corps and STTR grants to study, develop and commercialize tools for detailed and accurate discussion of video material targeting the flipped classroom model for STEM higher education. AddThis Sharing Buttons Share to Twitter Twitter Share to Facebook Facebook Share to LinkedIn LinkedIn Share to Reddit Reddit Share to Email Email Share to PrintFriendly PrintFriendly Share to More AddThis : diff --git a/src/data/compiled_bios/3706.txt b/src/data/compiled_bios/3706.txt new file mode 100644 index 0000000000..a0da266d12 --- /dev/null +++ b/src/data/compiled_bios/3706.txt @@ -0,0 +1 @@ + About Admissions Academics Research Students Faculty & Staff Athletics Medical Center Email YES Blackboard c2hr Logins Libraries People Finder Campus Maps A-Z Go Vanderbilt University Vanderbilt Home Navigate VU Tools Search VU Robert Tairas, Ph.D. GO Page Navigation Home Assistant Professor of the Practice of Computer Science Department of Electrical Engineering and Computer Science School of Engineering Vanderbilt University [ Curriculum Vitae ] Spring 2019 Courses CS 1103 Introductory Programming for Engineers and Scientists CS 3270/5270 Programming Languages Your Vanderbilt Alumni Current Students Faculty & Staff International Students Media Parents & Family Prospective Students Researchers Sports Fans Visitors & Neighbors 2019 Vanderbilt University Site Development: University Web Communications diff --git a/src/data/compiled_bios/3707.txt b/src/data/compiled_bios/3707.txt new file mode 100644 index 0000000000..e227b919de --- /dev/null +++ b/src/data/compiled_bios/3707.txt @@ -0,0 +1 @@ + Michael Alles Research Professor of Electrical Engineering Electrical Engineering and Computer Science Intellectual Neighborhoods Nano Science and Technology Risk and Reliability AddThis Sharing Buttons Share to Twitter Twitter Share to Facebook Facebook Share to LinkedIn LinkedIn Share to Reddit Reddit Share to Email Email Share to PrintFriendly PrintFriendly Share to More AddThis : diff --git a/src/data/compiled_bios/3708.txt b/src/data/compiled_bios/3708.txt new file mode 100644 index 0000000000..a64e1297b0 --- /dev/null +++ b/src/data/compiled_bios/3708.txt @@ -0,0 +1 @@ + Theodore Bapty Research Associate Professor of Electrical Engineering Electrical Engineering and Computer Science Intellectual Neighborhoods Cyber-physical Systems Research Focus model integrated computing, software integrated systems AddThis Sharing Buttons Share to Twitter Twitter Share to Facebook Facebook Share to LinkedIn LinkedIn Share to Reddit Reddit Share to Email Email Share to PrintFriendly PrintFriendly Share to More AddThis : diff --git a/src/data/compiled_bios/3709.txt b/src/data/compiled_bios/3709.txt new file mode 100644 index 0000000000..1df166225d --- /dev/null +++ b/src/data/compiled_bios/3709.txt @@ -0,0 +1 @@ + J. L. Davidson Professor of Electrical Engineering, Emeritus Professor of Materials Science, Emeritus Professor of Engineering Management, Emeritus Research Professor of Electrical Engineering Electrical Engineering and Computer Science Research Focus Microelectronics processing, Solid state sensors, Diamond technology, Micromechanical structures AddThis Sharing Buttons Share to Twitter Twitter Share to Facebook Facebook Share to LinkedIn LinkedIn Share to Reddit Reddit Share to Email Email Share to PrintFriendly PrintFriendly Share to More AddThis : diff --git a/src/data/compiled_bios/371.txt b/src/data/compiled_bios/371.txt new file mode 100644 index 0000000000..33a5bf6ca8 --- /dev/null +++ b/src/data/compiled_bios/371.txt @@ -0,0 +1 @@ +Name: McMahan,Timothy:: Position: Senior Lecturer:: Degrees: B.S., Computer Science, The University of North Texas; M.S., Computer Science, The University of North Texas; Ph.D., Computer Science, The University of North Texas; Research Interests: Video Games and Simulations; Computational Neuropsychology; Human Computer Interaction; Virtual Reality; Machine Learning; RepresentativePublications: Parsons, T. D.,McMahan, T., & Kane, R. (in press). Practice Parameters Facilitating Reliable Computerized Neuropsychological Assessments. The Clinical Neuropsychologist.; Parsons, T.D., & McMahan, T. (under review). Validity of a Newly Developed Measure of Memory: Feasibility Study of the Virtual Environment Grocery Store.; McMahan, T., Parberry, I., & Parsons, T.D. (2015). Modality Specific Assessment of Video Game Players Experience Using the Emotiv Entertainment Computing, 7, 1-6.; McMahan, T., Parberry, I., & Parsons, T.D. (2015). Evaluating Player Task Engagement and Arousal using Electroencephalography. Procedia Manufacturing, 3, 2303 2310.; McMahan, T., Parberry, I., & Parsons, T.D. (2015). Evaluating Electroencephalography Engagement Indices during Video Game Play. Proceedings of the 10th International Conference on the Foundations of Digital Games (FDG 2015), June 22-25, 2015, Pacific Grove, CA, USA, 2015.; diff --git a/src/data/compiled_bios/3710.txt b/src/data/compiled_bios/3710.txt new file mode 100644 index 0000000000..30dda2a10b --- /dev/null +++ b/src/data/compiled_bios/3710.txt @@ -0,0 +1 @@ + Pierre DHaese Research Assistant Professor of Electrical Engineering and Computer Science Electrical Engineering and Computer Science Intellectual Neighborhoods Surgery and Engineering Research Focus medical image processing AddThis Sharing Buttons Share to Twitter Twitter Share to Facebook Facebook Share to LinkedIn LinkedIn Share to Reddit Reddit Share to Email Email Share to PrintFriendly PrintFriendly Share to More AddThis : diff --git a/src/data/compiled_bios/3711.txt b/src/data/compiled_bios/3711.txt new file mode 100644 index 0000000000..e031b378a3 --- /dev/null +++ b/src/data/compiled_bios/3711.txt @@ -0,0 +1 @@ + Zhaohua Ding Research Associate Professor of Electrical Engineering Assistant Professor of Biomedical Engineering Electrical Engineering and Computer Science Biomedical Engineering (secondary) Intellectual Neighborhoods Biomedical Imaging and Biophotonics Research Focus medical imaging, magnetic resonance imaging (MRI) AddThis Sharing Buttons Share to Twitter Twitter Share to Facebook Facebook Share to LinkedIn LinkedIn Share to Reddit Reddit Share to Email Email Share to PrintFriendly PrintFriendly Share to More AddThis : diff --git a/src/data/compiled_bios/3712.txt b/src/data/compiled_bios/3712.txt new file mode 100644 index 0000000000..e85f492012 --- /dev/null +++ b/src/data/compiled_bios/3712.txt @@ -0,0 +1 @@ + Toggle navigation Search This Site Search All VU Explore VU Vanderbilt Home About Admissions Academics Research Students Faculty & Staff Athletics News & Events Get Social @Vanderbilt Skip to main content About Us About Us Dean's Office Departmentsand Programs Invited Lectures Alumni Fact Sheet Board of Visitors Dean's Philanthropic Priorities Buildings Map Faculty Openings Academics Overview Undergraduate Graduate Degree Programs Undergrad Admissions Design Day Study Abroad Academic Services Research Experiences for Teachers Research Research Research Videos Strategic Research Areas Expert Sources Centers, Institutes, Groups, and Labs Undergraduate Research Industrial Partners International Initiative News Latest News Research News Expert Sources Fact Sheet E-Newsletter Publications Podcasts and Videos News Archive Evacuation Plans Admissions Admissions Overview About Engineering Undergraduate Graduate Financial Aid Degrees Life in Music City Resources Academic Services Incoming Students Undergraduates Graduate Students Faculty/Staff Resources Alumni Parents New Building Info Contact Us Contact Us Faculty AdminStaff Post Docs Dean's Office Giving Departments Centers, Institutes & Groups Make a Gift Hmmm... we can't find that page. Check the address for a typo: https://engineering.vanderbilt.edu/eecs/people/mikefitzpatrick/ Check the navigation links above. Returning to the previous page. Searching our site: Go Recent News Emeritus Professor James Wert was leader in metallurgical engineering Fauchet advocates for STEM education and federal research support Alumnus elected to the National Academy of Engineering Baroud named 1 of 3 new Chancellor Public Voices U.S. Army Engineer R&D Center chief scientist to give Parker Lecture Feb. 5 MORE Connect with Vanderbilt Facebook Twitter Instagram YouTube Flickr Tumblr RSS Feed Creating Solutions Cyber-physical Systems Biomedical Imaging & Biophotonics Rehabilitation Engineering Nanoscience and Nanotechnology Risk, Reliability and Resilience Big Data Science and Engineering Regenerative Medicine Surgery and Engineering Energy and Natural Resources Resources Meet our Faculty Explore Degree Programs Explore Solutions 2019Vanderbilt University All rights reserved. Site Development: Digital Strategies (Division of Communications) Vanderbilt University is committed to principles of equal opportunity and affirmative action. Accessibility information . Vanderbilt, Vanderbilt University, V Oak Leaf Design, Star V Design and Anchor Down are trademarks of The Vanderbilt University diff --git a/src/data/compiled_bios/3713.txt b/src/data/compiled_bios/3713.txt new file mode 100644 index 0000000000..939c7fc1ee --- /dev/null +++ b/src/data/compiled_bios/3713.txt @@ -0,0 +1 @@ + Tim Holman Research Associate Professor of Electrical Engineering and Computer Science Electrical Engineering and Computer Science Research Focus Low power/low voltage/low noise analog/mixed-signal IC design; radiation-tolerant analog/mixed-signal circuit design AddThis Sharing Buttons Share to Twitter Twitter Share to Facebook Facebook Share to LinkedIn LinkedIn Share to Reddit Reddit Share to Email Email Share to PrintFriendly PrintFriendly Share to More AddThis : diff --git a/src/data/compiled_bios/3714.txt b/src/data/compiled_bios/3714.txt new file mode 100644 index 0000000000..359debe394 --- /dev/null +++ b/src/data/compiled_bios/3714.txt @@ -0,0 +1 @@ + yuankaihuo Main Research Teaching Experience Resources Personal Main Whois Yuankai Huo Research Assistant Professor Dept. Electrical Engineering and Computer Science Vanderbilt University Nashville, Tennessee Bio Yuankai Huo is a research assistant professor at Electrical Engineering and Computer Science Department, Vanderbilt University. Yuankai got his Ph.D. in Electrical Engineering at Vanderbilt University , where he worked with Dr. Bennett Landman in MASI lab as a graduate research assistant.Prior to joining Vanderbilt University, Yuankai received his Master of Science degree in Computer Science from Columbia University and also workedas a staff engineer and research officerin Columbia University and New York Psychiatric Institute. Edu 2014 - 2018: Ph.D. - Electrical Engineering Vanderbilt University, TN, USA 2013 - 2014: Master of Science - Computer Science Columbia University, NY, USA Curriculum Vitae Full CV News One paper has been accepted by ISBI 2019 Two paper has been accepted by NeuroImage and Human Brain Mapping One paper has been accepted by TMI Seven papers have been accepted by SPIE 2019 (1 first author, 4 corresponding authors) One paper has been accepted by TMI Our research is high-lighted by NVIDIA Two papers have been accepted by MICCAI 2018 Attended CVPR 2018 at Salt Lake City, Utah Visited Oak Ridge National Laboratory Attended ISBI 2018 at Washington DC One paper has been accepted by TBME Defended Ph.D. thesis Attended SPIE 2018 at Houston, TX Worked as a research intern at Siemens Healthineers at Princeton, NJ Attended SPIE 2017 at Orlando, FL Attended MICCAI2016 at Athens, Greek Attended SPIE2016 at San Diego, CA Attended SPIE2015 at Orlando , FL View My Stats Report Abuse | Powered By Google Sites diff --git a/src/data/compiled_bios/3715.txt b/src/data/compiled_bios/3715.txt new file mode 100644 index 0000000000..2f0191afa8 --- /dev/null +++ b/src/data/compiled_bios/3715.txt @@ -0,0 +1 @@ + Vanderbilt University School of Engineering Vanderbilt Home Engineering Home Search VU Institute for Space and Defense Electronics GO Page Navigation ISDE Home Background Capabilities Design Support Analysis and Simulation Test Capabilities Virtual Irradiation Capabilities CubeSat Development Current CubeSat Missions RadFxSat#1 RadFxSat#2 Computing Capabilities Facilities Location Directions Directions from Nashville International Airport (BNA) From West of Nashville From Points North (I-24 & I-65) From I-65 South Hotel Information Meetings DTRA/NRO Review 12-13 May 2015 Contact Us Employment Staff Presentations Sponsors Alumni Are You an RER Alumni? 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Check the address for a typo: https://engineering.vanderbilt.edu/eecs/cis/ Check the navigation links above. Returning to the previous page. Searching our site: Go Recent News Emeritus Professor James Wert was leader in metallurgical engineering Fauchet advocates for STEM education and federal research support Alumnus elected to the National Academy of Engineering Baroud named 1 of 3 new Chancellor Public Voices U.S. Army Engineer R&D Center chief scientist to give Parker Lecture Feb. 5 MORE Connect with Vanderbilt Facebook Twitter Instagram YouTube Flickr Tumblr RSS Feed Creating Solutions Cyber-physical Systems Biomedical Imaging & Biophotonics Rehabilitation Engineering Nanoscience and Nanotechnology Risk, Reliability and Resilience Big Data Science and Engineering Regenerative Medicine Surgery and Engineering Energy and Natural Resources Resources Meet our Faculty Explore Degree Programs Explore Solutions 2019Vanderbilt University All rights reserved. Site Development: Digital Strategies (Division of Communications) Vanderbilt University is committed to principles of equal opportunity and affirmative action. Accessibility information . Vanderbilt, Vanderbilt University, V Oak Leaf Design, Star V Design and Anchor Down are trademarks of The Vanderbilt University diff --git a/src/data/compiled_bios/3717.txt b/src/data/compiled_bios/3717.txt new file mode 100644 index 0000000000..4a7c49ad35 --- /dev/null +++ b/src/data/compiled_bios/3717.txt @@ -0,0 +1 @@ + Robert Laddaga Research Professor Electrical Engineering and Computer Science Intellectual Neighborhoods Cyber-physical Systems Research Focus model integrated computing, software integrated systems AddThis Sharing Buttons Share to Twitter Twitter Share to Facebook Facebook Share to LinkedIn LinkedIn Share to Reddit Reddit Share to Email Email Share to PrintFriendly PrintFriendly Share to More AddThis : diff --git a/src/data/compiled_bios/3718.txt b/src/data/compiled_bios/3718.txt new file mode 100644 index 0000000000..3fc1f157f0 --- /dev/null +++ b/src/data/compiled_bios/3718.txt @@ -0,0 +1 @@ + Ilwoo Lyu, Ph.D. () Medical-image Analysis and Statistical Interpretation Laboratory Electrical Engineering and Computer Science Vanderbilt University Nashville, TN 37235, USA Affiliation: [ EECS ] [ VISE ] E-mail: ilwoo.lyu at vanderbilt edu [ LinkedIn ] [ Google Scholar ] [ dblp ] [ GitHub ] orcid.org/0000-0001-5868-9603 Last Updated: October 2018 About Myself / Research Interests / Education / Employment / Publications / Teaching / Talks / Software About Myself I am a research assistant professor of the School of Engineering at Vanderbilt University . I am working with Dr. Bennett Landman . I earned my PhD in Computer Science at The University of North Carolina at Chapel Hill under the supervision of Dr. Martin Styner . My research interest is mainly in developing novel algorithms for medical image analysis. My current research focuses on surface-based analysis to understand/explore highly convoluted shapes such as brain. In particular, I am working on surface registration, anatomical/geometric feature extraction/recognition, statistical shape analysis, and 3D visualization. Research Interests Medical Imaging Computer Vision Pattern Recognition Shape Analysis Computational Anatomy Education The University of North Carolina at Chapel Hill Doctor of Philosophy in Computer Science 2016 KAIST Master of Science in Computer Science 2011 KAIST Bachelor of Science in Computer Science 2009 Employment MASI Lab , Vanderbilt University , Nashville, TN, USA Research Assistant Professor Collaborators: Dr. Bennett Landman , Dr. Neil Woodward , Dr. Carissa Cascio , Dr. Daniel Claassen , Dr. David Zald , Dr. Hakmook Kang , Dr. Maureen McHugo Mar 2017 - Present Neuro Image Research and Analysis Lab , UNC , Chapel Hill, NC, USA Research Assistant Advisor: Dr. Martin Styner Dec 2011 - Feb 2017 IBM Almaden Reserach Center , San Jose, California, USA Intern Mentor: Dr. Tanveer F. Syeda-Mahmood and Dr. Colin B. Compas May 2015 - Jul 2015 Computer Graphics Laboratory, KAIST , Daejeon, Korea Research Assistant Advisor: Dr. Sung Yong Shin and Dr. Joon-Kyung Seong Jun 2010 - May 2011 Cognitive Robotic Vision Laboratory, KIST , Seoul, Korea Intern Mentor: Dr. Sung-Kee Park Mar 2009 - May 2009 Selected Publications [ Expand ] [ Collapse ] Hierarchical Spherical Deformation for Shape Correspondence [ DOI ] [ Abstract ] [ Software ] Ilwoo Lyu , Martin Styner, Bennett Landman Medical Image Computing and Computer Assisted Intervention (MICCAI) 2018 , LNCS11070, 853-861, Granada, Spain, 2018, early accept, oral presentation We present novel spherical deformation for a landmark-free shape correspondence in a group-wise manner. In this work, we aim at both addressing template selection bias and minimizing registration distortion in a single framework. The proposed spherical deformation yields a non-rigid deformation field without referring to any particular spherical coordinate system. Specifically, we extend a rigid rotation represented by well-known Euler angles to general non-rigid local deformation via spatial-varying Euler angles. The proposed method employs spherical harmonics interpolation of the local displacements to simultaneously solve rigid and non-rigid local deformation during the optimization. This consequently leads to a continuous, smooth, and hierarchical representation of the deformation field that minimizes registration distortion. In addition, the proposed method is group-wise registration that requires no specific template to establish a shape correspondence. In the experiments, we show an improved shape correspondence with high accuracy in cortical surface parcellation as well as significantly low registration distortion in surface area and edge length compared to the existing registration methods while achieving fast registration in 3 m per subject. Hide A Cortical Shape-Adaptive Approach to Local Gyrification Index [ DOI ] [ PMID:29990689 ] [ Abstract ] [ Software ] Ilwoo Lyu , Sun Hyung Kim, Jessica Girault, John Gilmore, Martin Styner Medical Image Analysis , 48, 244-258, 2018 The amount of cortical folding, or gyrification, is typically measured within local cortical regions covered by an equidistant geodesic or nearest neighborhood-ring kernel. However, without careful design, such a kernel can easily cover multiple sulcal and gyral regions that may not be functionally related. Furthermore, this can result in smoothing out details of cortical folding, which consequently blurs local gyrification measurements. In this paper, we propose a novel kernel shape to locally quantify cortical gyrification within sulcal and gyral regions. We adapt wavefront propagation to generate a spatially varying kernel shape that encodes cortical folding patterns: neighboring gyral crowns, sulcal fundi, and sulcal banks. For this purpose, we perform anisotropic wavefront propagation that runs fast along gyral crowns and sulcal fundi by solving a static Hamilton-Jacobi partial differential equation. The resulting kernel adaptively elongates along gyral crowns and sulcal fundi, while keeping a uniform shape over flat regions like sulcal banks. We then measure local gyrification within the proposed spatially varying kernel. The experimental results show that the proposed kernel-based gyrification measure achieves a higher reproducibility than the conventional method in a multi-scan dataset. We further apply the proposed kernel to a brain development study in the early postnatal phase from neonate to 2 years of age. In this study we find that our kernel yields both positive and negative associations of gyrification with age, whereas the conventional method only captures positive associations. In general, our method yields sharper and more detailed statistical maps that associate cortical folding with sex and gestational age. Hide TRACE: A Topological Graph Representation for Automatic Sulcal Curve Extraction [ DOI ] [ PMID:29969416 ] [ Abstract ] [ Software ] Ilwoo Lyu , Sun Hyung Kim, Neil Woodward, Martin Styner, Bennett Landman IEEE Transactions on Medical Imaging , 37(7), 1653-1663, 2018 A proper geometric representation of the cortical regions is a fundamental task for cortical shape analysis and landmark extraction. However, a significant challenge has arisen due to the highly variable, convoluted cortical folding patterns. In this paper, we propose a novel topological graph representation for automatic sulcal curve extraction (TRACE). In practice, the reconstructed surface suffers from noise influences introduced during image acquisition/surface reconstruction. In the presence of noise on the surface, TRACE determines stable sulcal fundic regions by employing the line simplification method that prevents the sulcal folding pattern from being significantly smoothed out. The sulcal curves are then traced over the connected graph in the determined regions by the Dijkstra's shortest path algorithm. For validation, we used state-of-the-art surface reconstruction pipelines on a reproducibility dataset. The experimental results showed a higher reproducibility and robustness to noise in TRACE than the existing method (Li et al. 2010) with over 20% relative improvement in error for both surface reconstruction pipelines. In addition, the extracted sulcal curves by TRACE were well-aligned with manually delineated primary sulcal curves. We also provided a choice of parameters to control a quality of the extracted sulcal curves and showed the influences of the parameter selection on the resulting curves. Hide Novel Local Shape-Adaptive Gyrification Index with Application to Brain Development [ DOI ] [ Abstract ] [ Software ] Ilwoo Lyu , Sun Hyung Kim, Jessica Bullins, John Gilmore, Martin Styner Medical Image Computing and Computer Assisted Intervention (MICCAI) 2017 , LNCS10433, 31-39, Quebec City, Quebec, Canada, 2017 Conventional approaches to quantification of the cortical folding employ a simple circular kernel. Such a kernel commonly covers multiple cortical gyral/sulcal regions that may be functionally unrelated and also often blurs local gyrification measurements. We propose a novel adaptive kernel for quantification of the local cortical folding, which incorporates neighboring gyral crowns and sulcal fundi. The proposed kernel is adaptively elongated to cover regions along the cortical folding patterns. The experimental results showed that the proposed kernel-based gyrification measure achieved a higher reproducibility in a multi-scan human phantom dataset and captured the cortical folding in a more shape-adaptive way than the conventional method. In early human brain development, we found positive correlations with age over most cortical regions as previously found as well as novel, refined regions of both positive and negative correlations undetectable by the conventional method. Hide Group-Wise Cortical Correspondence via Sulcal Curve-Constrained Entropy Minimization [ DOI ] [ PMID:24683983 ] [ Abstract ] Ilwoo Lyu , Sun Hyung Kim, Joon-Kyung Seong, Sang Wook Yoo, Alan Evans, Yundi Shi, Mar Sanchez, Marc Niethammer, Martin Styner Information Processing in Medical Imaging (IPMI) 2013 , LNCS7917, 364-375, Asilomar, California, USA, 2013, oral presentation with open-ended discussion We present a novel cortical correspondence method employing group-wise registration in a spherical parametrization space for the use in local cortical thickness analysis in human and non-human primate neuroimaging studies. The proposed method is unbiased registration that estimates a continuous smooth deformation field into an unbiased average space via sulcal curve-constrained entropy minimization using spherical harmonic decomposition of the spherical deformation field. We initialize a correspondence by our pair-wise method that establishes a surface correspondence with a prior template. Since this pair-wise correspondence is biased to the choice of a template, we further improve the correspondence by employing unbiased ensemble entropy minimization across all surfaces, which yields a deformation field onto the iteratively updated unbiased average. The specific entropy metric incorporates two terms: the first focused on optimizing the correspondence of automatically extracted sulcal landmarks and the second on that of sulcal depth maps. We also propose an encoding scheme for spherical deformation via spherical harmonics as well as a novel method to choose an optimal spherical polar coordinate system for the most efficient deformation field estimation. The experimental results show evidence that the proposed method improves the correspondence quality in non-human primate and human subjects as compared to the pair-wise method. Hide Spectral-based Automatic Labeling and Refining of Human Cortical Sulcal Curves using Expert-Provided Examples [ DOI ] [ PMID:20363334 ] [ Abstract ] Ilwoo Lyu , Joon-Kyung Seong, Sung Yong Shin, Kiho Im, Jee Hoon Roh, Min-Jeong Kim, Geon Ha Kim, Jong Hun Kim, Alan Evans, Duk L. Na, Jong-Min Lee NeuroImage , 52(1), 142-157, 2010 We present a spectral-based method for automatically labeling and refining major sulcal curves of a human cerebral cortex. Given a set of input (unlabeled) sulcal curves automatically extracted from a cortical surface and a collection of expert-provided examples (labeled sulcal curves), our objective is to identify the input major sulcal curves and assign their neuroanatomical labels, and then refines these curves based on the expert-provided example data, without employing any atlas-based registration scheme as preprocessing. In order to construct the example data, neuroanatomists manually labeled a set of 24 major sulcal curves (12 each for the left and right hemispheres) for each individual subject according to a precise protocol. We collected 30 sets of such curves from 30 subjects. Given the raw input sulcal curve set of a subject, we choose the most similar example curve to each input curve in the set to label and refine the latter according to the former. We adapt a spectral matching algorithm to choose the example curve by exploiting the sulcal curve features and their relationship. The high dimensionality of sulcal curve data in spectral matching is addressed by using their multi-resolution representations, which greatly reduces time and space complexities. Our method provides consistent labeling and refining results even under high variability of cortical sulci across the subjects. Through experiments we show that the results are comparable in accuracy to those done manually. Most output curves exhibited accuracy values higher than 80%, and the mean accuracy values of the curves in the left and the right hemispheres were 84.69% and 84.58%, respectively. Hide - Full List - Journal Articles A Cortical Shape-Adaptive Approach to Local Gyrification Index [ DOI ] [ PMID:29990689 ] Ilwoo Lyu , Sun Hyung Kim, Jessica Girault, John Gilmore, Martin Styner. Medical Image Analysis , 48, 244-258, 2018 TRACE: A Topological Graph Representation for Automatic Sulcal Curve Extraction [ DOI ] [ PMID:29969416 ] Ilwoo Lyu , Sun Hyung Kim, Neil Woodward, Martin Styner, Bennett Landman. IEEE Transactions on Medical Imaging , 37(7), 1653-1663, 2018 Towards Portable Large-Scale Image Processing with High-Performance Computing [ DOI ] [ PMID:29725960 ] Yuankai Huo, Justin Blaber, Stephen Damon, Brian Boyd, Shunxing Bao, Prasanna Parvathaneni, Camilo Bermudez Noguera, Shikha Chaganti, Vishwesh Nath, Jasmine Greer, Ilwoo Lyu , William French, Allen Newton, Baxter Rogers, Bennett Landman. Journal of Digital Imaging , 31(3), 304-314, 2018 Development of Cortical Shape in the Human Brain from 6 to 24 Months of Age via a Novel Measure of Shape Complexity [ DOI ] [ PMID:27150231 ] Sun Hyung Kim, Ilwoo Lyu , Vladimir Fonov, Clement Vachet, Heather Hazlett, Rachel Smith, Joseph Piven, Stephen Dager, Robert McKinstry, John Pruett Jr, Alan Evans, Louis Collins, Kelly Botteron, Robert Schultz, Guido Gerig, Martin Styner, The IBIS Network. NeuroImage , 135, 163-176, 2016 Robust Estimation of Group-wise Cortical Correspondence with an Application to Macaque and Human Neuroimaging Studies [ DOI ] [ PMID:26113807 ] Ilwoo Lyu , Sun Hyung Kim, Joon-Kyung Seong, Sang Wook Yoo, Alan Evans, Yundi Shi, Mar Sanchez, Marc Niethammer, Martin Styner. Frontiers in Neuroscience , 9, 210, 2015 Spectral-based Automatic Labeling and Refining of Human Cortical Sulcal Curves using Expert-Provided Examples [ DOI ] [ PMID:20363334 ] Ilwoo Lyu , Joon-Kyung Seong, Sung Yong Shin, Kiho Im, Jee Hoon Roh, Min-Jeong Kim, Geon Ha Kim, Jong Hun Kim, Alan Evans, Duk L. Na, Jong-Min Lee. NeuroImage , 52(1), 142-157, 2010 Top Ranked Conferences Technology Enablers for Cloud-based Multi-level Analysis Applications in Medical Image Processing [DOI] Shunxing Bao, Prasanna Parvathaneni, Yuankai Huo, Yogesh Barve, Andrew Plassard, Yuang Yao, Hongyang Sun, Ilwoo Lyu , David Zald, Bennett Landman, Aniruddha Gokhale. IEEE International Conference on BigData 2018 , to appear, Seattle, Washington, USA, 2018 Hierarchical Spherical Deformation for Shape Correspondence [ DOI ] Ilwoo Lyu , Martin Styner, Bennett Landman. Medical Image Computing and Computer Assisted Intervention (MICCAI) 2018 , LNCS11070, 853-861, Granada, Spain, 2018, early accept, oral presentation Novel Local Shape-Adaptive Gyrification Index with Application to Brain Development [ DOI ] Ilwoo Lyu , Sun Hyung Kim, Jessica Bullins, John Gilmore, Martin Styner. Medical Image Computing and Computer Assisted Intervention (MICCAI) 2017 , LNCS10433, 31-39, Quebec City, Quebec, Canada, 2017 Geodesic Distances to Landmarks for Dense Correspondence on Ensembles of Complex Shapes [ DOI ] [ PMID:24579119 ] Manasi Datar, Ilwoo Lyu , Sun Hyung Kim, Joshua Cates, Martin Styner, Ross Whitaker. Medical Image Computing and Computer Assisted Intervention (MICCAI) 2013 , LNCS8150, 19-26, Nagoya, Japan, 2013, oral presentation Particle-Guided Image Registration [ DOI ] [ PMID:24505762 ] Joohwi Lee, Ilwoo Lyu , Ipek Oguz, Martin Styner. Medical Image Computing and Computer Assisted Intervention (MICCAI) 2013 , LNCS8151, 203-210, Nagoya, Japan, 2013 Group-Wise Cortical Correspondence via Sulcal Curve-Constrained Entropy Minimization [ DOI ] [ PMID:24683983 ] Ilwoo Lyu , Sun Hyung Kim, Joon-Kyung Seong, Sang Wook Yoo, Alan Evans, Yundi Shi, Mar Sanchez, Marc Niethammer, Martin Styner. Information Processing in Medical Imaging (IPMI) 2013 , LNCS7917, 364-375, Asilomar, California, USA, 2013, oral presentation with open-ended discussion Refereed Conferences Harmonizing 1.5T/3T Diffusion Weighted MRI through Development of Deep Learning Stabilized Microarchitecture Estimaors Vishwesh Nath, Samuel Remedios, Prasanna Parvathaneni, Colin Hansen, Roza Bayrak, Camilo Bermudez, Justin Blaber, Karthik Ramadass, Kurt Schilling, Vaibhav Janve, Yurui Gao, Yuankai Huo, Ilwoo Lyu , Owen Williams, Susan Resnick, Lori Beason-Held, Baxter Rogers, Iwona Stepniewska, Adam Anderson, Bennett Landman SPIE Medical Imaging 2018 , SPIE10574, to appear, San Diego, California, USA, 2019 Inter-Scanner Harmonization of High Angular Resolution DW-MRI using Null Space Deep Learning Vishwesh Nath, Kurt Schilling, Prasanna Parvathaneni, Colin Hansen, Allison Hainline, Camilo Bermudez, Samuel Remedios, Justin Blaber, Ilwoo Lyu , Vaibhav Janve, Yurui Gao, Iwona Stepniewska, Baxter Rogers, Allen Newton, Taylor Davis, Jeff Luci, Adam Anderson, Bennett Landman MICCAI Workshop on Computational Diffusion MRI (CDMRI) 2018 , accepted, Granada, Spain, 2018 Harmonization of white and gray matter features in diffusion microarchitecture for cross sectional studies Prasanna Parvathaneni, Shunxing Bao, Allison Hainline, Yuankai Huo, Kurt Schilling, Hakmook Kang, Owen Williams, Neil Woodward, Susan Resnick, David Zald, Ilwoo Lyu , Bennett Landman. International Conference on Clinical and Medical Image Analysis (ICCMIA) 2018 , accepted, Coimbatore, Tamilnadu, India, 2018 Fully Convolutional Neural Networks Improve Abdominal Organ Segmentation [ DOI ] [ PMID:29887665 ] Meg Bobo, Shunxing Bao, Yuankai Huo, Yuang Yao, Jack Virostko, Andrew Plassard, Ilwoo Lyu , Albert Assad, Richard Abramson, Bennett Landman. SPIE Medical Imaging 2018 , SPIE10574, 105742V-1-105742V-8, Houston, Texas, USA, 2018, best poster award SHARD: Spherical Harmonic based Robust Outlier Detection for HARDI Methods [ DOI ] [ PMID:29887661 ] Vishwesh Nath, Kurt Schilling, Allison Hainline, Prasanna Parvathaneni, Justin Blaber, Ilwoo Lyu , Adam Anderson, Hakmook Kang, Allen Newton, Baxter Rogers, Bennett Landman. SPIE Medical Imaging 2018 , SPIE10574, 105740X-1-105740X-11, Houston, Texas, USA, 2018, oral presentation A Data Colocation Grid Framework for Big Data Medical Image Processing Backend Design [ DOI ] [ PMID:29887668 ] Shunxing Bao, Yuankai Huo, Prasanna Parvathaneni, Andrew Plassard, Camilo Bermudez, Yuang Yao, Ilwoo Lyu , Aniruddha Gokhale, Bennett Landman. SPIE Medical Imaging 2018 , SPIE10579, 105790A-1-105790A-10, Houston, Texas, USA, 2018, oral presentation Constructing Statistically Unbiased Cortical Surface Templates Using Feature-Space Covariance [ DOI ] [ PMID:29887664 ] Prasanna Parvathaneni, Ilwoo Lyu , Yuankai Huo, Justin Blaber, Allison Hainline, Hakmook Kang, Neil Woodward, Bennett Landman. SPIE Medical Imaging 2018 , SPIE10574, 1057406-1-1057406-9, Houston, Texas, USA, 2018, oral presentation Sulcal Depth-based Cortical Shape Analysis in Normal Healthy Control and Schizophrenia Groups [ DOI ] [ PMID:29887663 ] Ilwoo Lyu , Hakmook Kang, Neil Woodward, Bennett Landman, SPIE Medical Imaging 2018 , SPIE10574, 1057402-1-1057402-8, Houston, Texas, USA, 2018, oral presentation Group-wise Shape Correspondence of Variable and Complex Objects [ DOI ] Ilwoo Lyu , Jonathan Perdomo, Gabriel Yapuncich, Beatriz Paniagua, Doug Boyer, Martin Styner. SPIE Medical Imaging 2018 , SPIE10574, 105742T-1-105742T-7, Houston, Texas, USA, 2018 Cortical Surface Shape Assessment via Sulcal/Gyral Curve-based Gyrification Index [ DOI ] Ilwoo Lyu , Sun Hyung Kim, Martin Styner. IEEE International Symposium on Biomedical Imaging (ISBI) 2016 , IEEE, 221-224, Prague, Czech Republic, 2016, oral presentation , finalist for best student award Automatic Sulcal Curve Extraction on the Human Cortical Surface [ DOI ] [ PMID:26028801 ] Ilwoo Lyu , Sun Hyung Kim, Martin Styner. SPIE Medical Imaging 2015 , SPIE9413, 94130P-1-94130P-7, Orlando, Florida, USA, 2015, oral presentation Multi-atlas Segmentation with Particle-based Group-wise Image Registration [ DOI ] [ PMID:25075158 ] Joohwi Lee, Ilwoo Lyu , Martin Styner. SPIE Medical Imaging 2014 , SPIE9034, 903447-1-903447-8, San Diego, California, USA, 2014 Cortical Correspondence via Sulcal Curve-Constrained Spherical Registration with Application to Macaque Studies [ DOI ] [ PMID:24357916 ] Ilwoo Lyu , Sun Hyung Kim, Joon-Kyung Seong, Sang Wook Yoo, Alan Evans, Yundi Shi, Mar Sanchez, Marc Niethammer, Martin Styner. SPIE Medical Imaging 2013 , SPIE8669, 86692X-1-86692X-7, Orlando, Florida, USA, 2013 Multiple Atlases-based Joint Labeling of Human Cortical Sulcal Curves [ DOI ] Ilwoo Lyu , Gang Li, Min-Jeong Kim, Dinggang Shen. MICCAI Workshop on Medical Computer Vision (MCV) 2012 , LNCS7766, 124-132, Nice, France, 2012 - Hide - Teaching Fall 2017: SC3250 Scientific Computing - Introduction to Copmuter Vision with Applications , Vanderbilt University , USA Guest Lecturer Sep 2017 Spring 2014: COMP915 Technical Communication in Computer Science , UNC , USA Trainee Jan 2014 - May 2014 Fall 2010: CS300 Introduction to Algorithms , KAIST , Korea Teaching Assistant Sep 2010 - Dec 2010 Fall 2009: CS202 Problem Solving , KAIST , Korea Teaching Assistant Sep 2009 - Dec 2009 Tutoring Program for Freshman : JAVA language, KAIST , Korea Private Tutor Feb 2008 - Dec 2008 Podium Talks Hierarchical Spherical Deformation for Shape Correspondence , MICCAI 2018 , Granada, Spain Sep 2018 Sulcal Depth-based Cortical Shape Analysis in Normal Healthy Control and Schizophrenia Groups , SPIE Medical Imaging 2018, Houston, Texas, USA Feb 2018 Cortical Surface Registration and Shape Analysis , VISE Summer Seminar 2017 , Vanderbilt University , Nashville, Tennessee, USA Jul 2017 Cortical Surface Shape Assessment via Sulcal/Gyral Curve-based Gyrification Index , ISBI 2016 , Prague, Czech Republic Apr 2016 Group-wise Cortical Correspondence via Sulcal Curve-Constrained Entropy Minimization , IPMI 2013 , Asilomar, California, USA Jun 2013 Software The source codes in my publications are publicly available under the MIT license . The software package imaged by Docker is distributed through my Docker repository . In the Docker environment, no package build/installation is required; everything is already there in the Docker image. All my tools can be run with a single command line after pulling the Docker repository . See more details about implementation, installation, usage, etc. at my GitHub repository. TRACE : Topological Graph Representation for Automatic Sulcal Curve Extraction HSD : Hierarchical Spherical Defomration for Cortical Surface Registration LGI : Cortical Shape-Adaptive Local Gyrification Index diff --git a/src/data/compiled_bios/3719.txt b/src/data/compiled_bios/3719.txt new file mode 100644 index 0000000000..d42456811b --- /dev/null +++ b/src/data/compiled_bios/3719.txt @@ -0,0 +1 @@ + Himanshu Neema Research Assistant Professor of Computer Science System Architect, Institute for Software Integrated Systems Electrical Engineering and Computer Science Intellectual Neighborhoods Cyber-physical Systems Energy and Natural Resources Big Data Science and Engineering Risk and Reliability Research Focus Heterogeneous simulation integration, modeling and simulation, cloud computing, model-integrated computing, design-space exploration, artificial intelligence, planning and scheduling AddThis Sharing Buttons Share to Twitter Twitter Share to Facebook Facebook Share to LinkedIn LinkedIn Share to Reddit Reddit Share to Email Email Share to PrintFriendly PrintFriendly Share to More AddThis : diff --git a/src/data/compiled_bios/372.txt b/src/data/compiled_bios/372.txt new file mode 100644 index 0000000000..7deedcb4da --- /dev/null +++ b/src/data/compiled_bios/372.txt @@ -0,0 +1 @@ +Name: Min, Richard:: Position: Senior Lecturer:: Degrees: Ph.D., Computer Science, The University of Texas at Dallas, 2009; M.B.A., Management, Dallas Baptist University, 2001; S.T.M., Bible Exposition, Dallas Theological Seminary, 2001; M.Div., Biblical Languages, Southwestern Baptist Theological Seminary, 1995; M.Div., Theology, Washington Baptist University, 1992.; M.S., Computer (CICE) Engineering, University of Michigan, Ann Arbor, Michigan, 1983; Research Interests: Computational Logic and Coinduction; Computational Theology and Literary Analysis; diff --git a/src/data/compiled_bios/3720.txt b/src/data/compiled_bios/3720.txt new file mode 100644 index 0000000000..00fee902e1 --- /dev/null +++ b/src/data/compiled_bios/3720.txt @@ -0,0 +1 @@ + Sandeep Neema Research Associate Professor of Electrical Engineering Electrical Engineering and Computer Science Intellectual Neighborhoods Risk and Reliability Big Data Science and Engineering Cyber-physical Systems Research Focus Embedded systems, design-space exploration, model integrated computing AddThis Sharing Buttons Share to Twitter Twitter Share to Facebook Facebook Share to LinkedIn LinkedIn Share to Reddit Reddit Share to Email Email Share to PrintFriendly PrintFriendly Share to More AddThis : diff --git a/src/data/compiled_bios/3721.txt b/src/data/compiled_bios/3721.txt new file mode 100644 index 0000000000..3bf412c125 --- /dev/null +++ b/src/data/compiled_bios/3721.txt @@ -0,0 +1 @@ + Supil Raina Research Assistant Professor of Electrical Engineering and Computer Science Electrical Engineering and Computer Science Intellectual Neighborhoods Nano Science and Technology Surgery and Engineering Energy and Natural Resources Research Focus Thin-film diamond and carbon nanotubes, advanced energy storage solutions using lithium ion batteries and ultracapacitors, vacuum field emission technology using diamond based emitters that are radiation hardened and temperature insensitive, sensors for bio-medical applications. Biography Supil Raina graduated from Indian Institute of Technology in 2001 and worked for two years at Infosys Technologies as a Software Engineer focusing on Quality Control to meet the stringent SEI-CMM Level 5 requirements in his division. He joined Vanderbilt University in 2003 to pursue graduate studies in Materials Science. His dissertation was based on developing sensitive nanodiamond based macroelectrodes and ultra-microelectrode arrays for detecting bio-analytes such as dopamine. As a graduate student, he also worked on development of rad-hardened electronic devices using nanodiamond vacuum field emitters and advanced hybrid ultracapacitors fabricated using MnO2/CNT electrodes. After graduating with a Ph.D. in 2011, he has continued his work at Vanderbilt in the area of energy storage solutions (lithium ion batteries, supercapacitors), vacuum field emission devices (diamond emitters in vertical and lateral configurations), energy conversion (diamond thermionic cathodes) and bio-sensors in his position, first, as a Post-Doc and since 2012, as a Research Assistant Professor. As of 2018, he has authored/co-authored 24 journal publications, 1 patent and has more than 50 presentations at international scientific conferences. AddThis Sharing Buttons Share to Twitter Twitter Share to Facebook Facebook Share to LinkedIn LinkedIn Share to Reddit Reddit Share to Email Email Share to PrintFriendly PrintFriendly Share to More AddThis : diff --git a/src/data/compiled_bios/3722.txt b/src/data/compiled_bios/3722.txt new file mode 100644 index 0000000000..d300c66547 --- /dev/null +++ b/src/data/compiled_bios/3722.txt @@ -0,0 +1 @@ + Vanderbilt University School of Engineering Vanderbilt Home Engineering Home Search VU Brian Sierawski GO Page Navigation About Me CubeSat Research Publications Classes Contact Resources Brian Sierawski is a Research Assistant Professor of Electrical Engineering at Vanderbilt University. His research interest focuses on the proper operation of microelectronics in space environments. Ionizing radiation is capable of causing single event effects and modern electronics can be more sensitive to single event transients and upsets than previous generations. The response of an electronic device is explored through a combination of tests performed at particle accelerator facilities and simulation. Dr. Sierawskis work measuring the low-energy proton single event upset cross section in sub-65 nm memories has helped inform predictions of their on-orbit error rate. He additionally showed that muons, naturally occurring and abundant terrestrial sub-atomic particles, are also capable of causing bit errors in modern commercial memories. In predicting error rates, he is an advanced user of Vanderbilts MRED code to perform Monte Carlo radiation transport. He has also developed tools to simulate digital circuit response to single event transients by fault injection in gate level models. He developed and administers the CREME website for public access to environment models and error rate predictions. Recently, he has been involved in the development, assembly, and operation of on-orbit radiation effects experiments. These experiments make use of the CubeSat platform and launch availability to collect data and refine rate prediction models. The first such experiment was launched in Oct. 2015 and continues to function. Brian received his B.S.E in Computer Engineering and M.S.E. in Computer Science and Engineering from the University of Michigan in 2002 and 2004, and his Ph.D. in Electrical Engineering from Vanderbilt University in 2011. Link: Vanderbilt Institute for Space and Defense Electronics Video Facebook Twitter Email Print Google Bookmark AddThis Your Vanderbilt Alumni Current Students Faculty & Staff International Students Media Parents & Family Prospective Students Researchers Sports Fans Visitors & Neighbors 2019 Vanderbilt University Site Development: University Web Communications diff --git a/src/data/compiled_bios/3723.txt b/src/data/compiled_bios/3723.txt new file mode 100644 index 0000000000..46fab5f0ea --- /dev/null +++ b/src/data/compiled_bios/3723.txt @@ -0,0 +1 @@ + Hongyang SUN Skip to content About Publications Activities News I am a Research Assistant Professor at the Department of Electrical Engineering and Computer Science of Vanderbilt University, USA. I obtained my Ph.D. in Computer Science from Nanyang Technological University (NTU), Singapore. Before moving to Vanderbilt, I have worked as a Postdoctoral Fellow at ENS (Lyon), INRIA (Rhne-Alpes), and IRIT (Toulouse) in France. My research focuses on the broad area of improving performance , energy efficiency (green computing, thermal-aware computing), and reliability (resilience, fault tolerance) of High-Performance Computing (HPC), cloud computing, and distributed computing systems and applications. I am interested in design and analysis of algorithms , resourcescheduling , performance modeling and optimization . Recently, I have started working on data-intensive computing (e.g., memory-bound or I/O-bound computations, cache efficiency). I am also interested in data science in generaland the application of HPC in particular to solve big-data problems that arise in various fields (e.g., machine learning, neuroscience). If you are interested in my work or would like to collaborate, please dont hesitate to drop me an email. Contact Jacobs and Featheringill Hall #382 Dept. of EECS, Vanderbilt University 400 24th Ave S, Nashville, TN, USA Email: hongyang DOT sun AT vanderbilt DOT edu Hongyang SUN Proudly powered by WordPress. diff --git a/src/data/compiled_bios/3724.txt b/src/data/compiled_bios/3724.txt new file mode 100644 index 0000000000..c48d897898 --- /dev/null +++ b/src/data/compiled_bios/3724.txt @@ -0,0 +1 @@ + Arthur Witulski Research Associate Professor of Electrical Engineering Electrical Engineering and Computer Science Intellectual Neighborhoods Risk and Reliability Energy and Natural Resources Nano Science and Technology Research Focus Radiation effects on electronic power semiconductor devices and power electronic converters, radiation reliability of complex systems in radiation environments such as satellites and robots in nuclear disasters. AddThis Sharing Buttons Share to Twitter Twitter Share to Facebook Facebook Share to LinkedIn LinkedIn Share to Reddit Reddit Share to Email Email Share to PrintFriendly PrintFriendly Share to More AddThis : diff --git a/src/data/compiled_bios/3725.txt b/src/data/compiled_bios/3725.txt new file mode 100644 index 0000000000..76bf7eba73 --- /dev/null +++ b/src/data/compiled_bios/3725.txt @@ -0,0 +1 @@ + Enxia Zhang Research Associate Professor of Electrical Engineering Research Associate Professor of Materials Science and Engineering Electrical Engineering and Computer Science Intellectual Neighborhoods Risk and Reliability Research Focus radiation effects on microelectronics, RF devices and ICs AddThis Sharing Buttons Share to Twitter Twitter Share to Facebook Facebook Share to LinkedIn LinkedIn Share to Reddit Reddit Share to Email Email Share to PrintFriendly PrintFriendly Share to More AddThis : diff --git a/src/data/compiled_bios/3726.txt b/src/data/compiled_bios/3726.txt new file mode 100644 index 0000000000..15ba089a0d --- /dev/null +++ b/src/data/compiled_bios/3726.txt @@ -0,0 +1 @@ + Toggle navigation Search This Site Search All VU Explore VU Vanderbilt Home About Admissions Academics Research Students Faculty & Staff Athletics News & Events Get Social @Vanderbilt Skip to main content About Us About Us Dean's Office Departmentsand Programs Invited Lectures Alumni Fact Sheet Board of Visitors Dean's Philanthropic Priorities Buildings Map Faculty Openings Academics Overview Undergraduate Graduate Degree Programs Undergrad Admissions Design Day Study Abroad Academic Services Research Experiences for Teachers Research Research Research Videos Strategic Research Areas Expert Sources Centers, Institutes, Groups, and Labs Undergraduate Research Industrial Partners International Initiative News Latest News Research News Expert Sources Fact Sheet E-Newsletter Publications Podcasts and Videos News Archive Evacuation Plans Admissions Admissions Overview About Engineering Undergraduate Graduate Financial Aid Degrees Life in Music City Resources Academic Services Incoming Students Undergraduates Graduate Students Faculty/Staff Resources Alumni Parents New Building Info Contact Us Contact Us Faculty AdminStaff Post Docs Dean's Office Giving Departments Centers, Institutes & Groups Make a Gift Hmmm... we can't find that page. 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Searching our site: Go Recent News Emeritus Professor James Wert was leader in metallurgical engineering Fauchet advocates for STEM education and federal research support Alumnus elected to the National Academy of Engineering Baroud named 1 of 3 new Chancellor Public Voices U.S. Army Engineer R&D Center chief scientist to give Parker Lecture Feb. 5 MORE Connect with Vanderbilt Facebook Twitter Instagram YouTube Flickr Tumblr RSS Feed Creating Solutions Cyber-physical Systems Biomedical Imaging & Biophotonics Rehabilitation Engineering Nanoscience and Nanotechnology Risk, Reliability and Resilience Big Data Science and Engineering Regenerative Medicine Surgery and Engineering Energy and Natural Resources Resources Meet our Faculty Explore Degree Programs Explore Solutions 2019Vanderbilt University All rights reserved. Site Development: Digital Strategies (Division of Communications) Vanderbilt University is committed to principles of equal opportunity and affirmative action. 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Vanderbilt, Vanderbilt University, V Oak Leaf Design, Star V Design and Anchor Down are trademarks of The Vanderbilt University diff --git a/src/data/compiled_bios/3727.txt b/src/data/compiled_bios/3727.txt new file mode 100644 index 0000000000..3d591d81d8 --- /dev/null +++ b/src/data/compiled_bios/3727.txt @@ -0,0 +1 @@ + Daniel Balasubramanian Research Scientist Adjunct Assistant Professor of Computer Science Electrical Engineering and Computer Science Intellectual Neighborhoods Cyber-physical Systems Biography Symbolic execution, code analysis AddThis Sharing Buttons Share to Twitter Twitter Share to Facebook Facebook Share to LinkedIn LinkedIn Share to Reddit Reddit Share to Email Email Share to PrintFriendly PrintFriendly Share to More AddThis : diff --git a/src/data/compiled_bios/3728.txt b/src/data/compiled_bios/3728.txt new file mode 100644 index 0000000000..99f64e13d8 --- /dev/null +++ b/src/data/compiled_bios/3728.txt @@ -0,0 +1 @@ + Jeff Black Adjoint Associate Professor of Electrical Engineering Electrical Engineering and Computer Science Research Focus Radiation effects in microelectronics, spacecraft signal processing, microelectronics reliability AddThis Sharing Buttons Share to Twitter Twitter Share to Facebook Facebook Share to LinkedIn LinkedIn Share to Reddit Reddit Share to Email Email Share to PrintFriendly PrintFriendly Share to More AddThis : diff --git a/src/data/compiled_bios/3729.txt b/src/data/compiled_bios/3729.txt new file mode 100644 index 0000000000..6fd7c02a4f --- /dev/null +++ b/src/data/compiled_bios/3729.txt @@ -0,0 +1 @@ + Ashok Choudhury Senior Commercialization Associate, Technology Transfer Adjunct Professor of Materials Science and Engineering Electrical Engineering and Computer Science Research Focus materials science, technology transfer AddThis Sharing Buttons Share to Twitter Twitter Share to Facebook Facebook Share to LinkedIn LinkedIn Share to Reddit Reddit Share to Email Email Share to PrintFriendly PrintFriendly Share to More AddThis : diff --git a/src/data/compiled_bios/373.txt b/src/data/compiled_bios/373.txt new file mode 100644 index 0000000000..d3d09937ec --- /dev/null +++ b/src/data/compiled_bios/373.txt @@ -0,0 +1 @@ +Name: Mittal, Neeraj:: Position: Associate Professor(CS, CE, & TE):: Degrees: Ph.D., Computer Science, The University of Texas at Austin, 2002; M.S., Computer Science, The University of Texas at Austin, 1997; B.Tech., Computer Science and Engineering, Indian Institute of Technology, Delhi, 1995; Research Interests: Distributed algorithms; Fault-tolerant computing; Multi-channel wireless networks; Key management; Software transactional memory; diff --git a/src/data/compiled_bios/3730.txt b/src/data/compiled_bios/3730.txt new file mode 100644 index 0000000000..aac563a8c2 --- /dev/null +++ b/src/data/compiled_bios/3730.txt @@ -0,0 +1 @@ + William Hofmeister Adjoint Professor of Electrical Engineering Electrical Engineering and Computer Science Intellectual Neighborhoods Nano Science and Technology Regenerative Medicine Research Focus Additive Manufacture, Laser/Material Processing, bioMEMS. Nucleation, solidification and diamond microelectronics. AddThis Sharing Buttons Share to Twitter Twitter Share to Facebook Facebook Share to LinkedIn LinkedIn Share to Reddit Reddit Share to Email Email Share to PrintFriendly PrintFriendly Share to More AddThis : diff --git a/src/data/compiled_bios/3731.txt b/src/data/compiled_bios/3731.txt new file mode 100644 index 0000000000..31be338e20 --- /dev/null +++ b/src/data/compiled_bios/3731.txt @@ -0,0 +1 @@ + David Kerns Adjoint Professor of Electrical Engineering Electrical Engineering and Computer Science Research Focus Microelectronics circuits and devices, Solid state sensors, Diamond technology, Microelectromechanical (MEMS) devices. Engineering education. AddThis Sharing Buttons Share to Twitter Twitter Share to Facebook Facebook Share to LinkedIn LinkedIn Share to Reddit Reddit Share to Email Email Share to PrintFriendly PrintFriendly Share to More AddThis : diff --git a/src/data/compiled_bios/3732.txt b/src/data/compiled_bios/3732.txt new file mode 100644 index 0000000000..197ba0b554 --- /dev/null +++ b/src/data/compiled_bios/3732.txt @@ -0,0 +1 @@ + Steven Kosier Adjoint Professor of Electrical Engineering Electrical Engineering and Computer Science Research Focus Radiation effects and reliability physics of power semiconductor devices and advanced CMOS technologies. Use and Assurance of commercial and automotive semiconductors for space and military applications. AddThis Sharing Buttons Share to Twitter Twitter Share to Facebook Facebook Share to LinkedIn LinkedIn Share to Reddit Reddit Share to Email Email Share to PrintFriendly PrintFriendly Share to More AddThis : diff --git a/src/data/compiled_bios/3733.txt b/src/data/compiled_bios/3733.txt new file mode 100644 index 0000000000..e76992469c --- /dev/null +++ b/src/data/compiled_bios/3733.txt @@ -0,0 +1 @@ + Skip to Main Content UTC.edu Students Faculty&Staff Alumni Parents Search: Search Class Schedule My MocsNet UTC Learn UTC Home Apply College of Engineering and Computer Science Menu About Dean's Welcome History Mission, Vision, and Goals College Administration and Staff Advisory Board ABET Accreditation Enrollment & Graduation Data Annual Review Academics Academic Faculty and Staff Chemical Engineering (BSChE) Civil Engineering (BSCE) Computer Science and Engineering (BS) Electrical Engineering (BSEE) Engineering Management & Technology (BS) Mechanical Engineering (BSME) General Engineering (BSE) Graduate Programs Admissions High School Transfer Graduate International Tours Living Learning Community Research Research Centers Laboratories Design Projects Applied Research Primary Research Thrusts Calls for Papers and Proposals Student Success Success Center Home 4-Yr. Plans Academic Advising Override Form Student Organizations Scholarships Resources Job Postings Career Development Peer-to-Peer Tutoring Outreach Speaker Series Career Fair School Visits Tours ACT Workshop Alumni Stay Connected Annual Review Partnerships Give to UTC Become a Corporate Partner Section Menu UTC / College of Engineering & Computer Science / People / Electrical Engineering / Faculty / Thomas (Daniel)Loveless People Master Directory College Administration and Staff Civil and Chemical Engineering Computer Science and Engineering Computer Science and Engineering Electrical Engineering Engineering Management & Technology Mechanical Engineering Adjunct FacultyInformation Dr. Thomas (Daniel) Loveless UC Foundation Assistant Professor Electrical Engineering Ph.D., 2009, Vanderbilt University Daniel-Loveless@utc.edu Dr. Loveless' Webpage (423) 425-2353 337 EMCS Dr. T. Daniel Loveless is a UC Foundation Assistant Professor of Electrical Engineering at the University of Tennessee at Chattanooga (UTC). He received the B.S. degree in electrical engineering from the Georgia Institute of Technology in 2004 and the M.S. and Ph.D. degrees in electrical engineering from Vanderbilt University in 2007 and 2009, respectively. Prior to joining UTC, he was a Research Assistant Professor at the Vanderbilt University Institute for Space and Defense Electronics where he was involved in the modeling and design of integrated circuits for the evaluation of radiation effects in advanced CMOS technologies. Dr. Loveless has authored over 80 journal articles and conference papers. His honors include three best conference paper awards, the IEEE Nuclear and Plasma Sciences Society (NPSS) Graduate Scholarship Award for recognition of contributions to the fields of nuclear and plasma sciences, and the Georgia Tech Alumni Association Scholarship. He is a Senior Member of the Institute of Electrical and Electronic Engineers(IEEE). His research interests include: embedded systems based on field-programmable gate arrays (FPGAs), microprocessors and microcontrollers, systems-on-chip, CubeSat design, radiation effects and reliability in electronic andphotonic integrated circuits, high-performance and radiation-hardened digital, mixed-signal and analog integrated circuit design, sensors, and development of smart cities. Curriculum Vitae Visit this faculty member's vita . Faculty Website Visit this faculty member's website . College of Engineering & Computer Science 450 EMCS Building | Dept 2452 | 615 McCallie Ave | Chattanooga, TN 37403 | (423) 425-2256 p | (423) 425-5311 f | About UTC Questions? 2012-2019University of Tennessee at Chattanooga. All rights reserved. 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About Us Undergraduate Undergraduates in our department gain valuable experience and education to prepare them for bright futures. Learn more Graduate Our program combines rigorous academics with a supportive atmosphere to cultivate the physicists of tomorrow. Explore our program Our Faculty The expert faculty in our department are at the heart of the important work we do. Meet our faculty Our Research Extraordinary Research In our department, everyone from faculty to undergraduates works together on research projects that tackle the worlds big challenges. Learn more about our research areas and state-of-the-art facilities. Learn more 7 AAAS Fellows Our faculty includes seven fellows of the prestigious American Association for the Advancement of Science. Explore our stats and strengths News More News Jan 17, 2019 Disorientation: A Science Poem by Katie Mack Astrophysicist Katie Mack encourages us to see [our] world from four billion miles away in this poem, presented in text and video formats. Read More Oct 30, 2018 The Roots of Success Ragini Murarka took full advantage of the network of resources available to her as a graduate student in the Department of Physics. She hopes to help current graduate students embrace opportunity at NC State by creating the Ragini Shah Murarka Graduate Student Award Endowment in the College of Sciences. Read More Oct 16, 2018 Not All Analyses Are Equal: Physicists Create Guidelines for Non-Equilibrium Measurements of Many-Body Systems When it comes to non-equilibrium physics, not all assumptions are created equal. Read More @ncstatephysics 2 hours ago A group of undergraduates spent the past year designing, building, and ultimately flying an experiment in zero grav twitter.com/i/web/status/1 View more here Department of Physics Department Office 421 Riddick Hall Campus Box 8202 Raleigh, NC 27695-8202 919.515.2521 physicsdepartment@ncsu.edu Contact Departmental Directory Internal Resources News Graduate Undergraduate MyPack Portal Campus Map 2019 NC State University. All rights reserved. diff --git a/src/data/compiled_bios/3735.txt b/src/data/compiled_bios/3735.txt new file mode 100644 index 0000000000..e8b812269a --- /dev/null +++ b/src/data/compiled_bios/3735.txt @@ -0,0 +1 @@ + Current Projects My set of ongoing projects is rather dynamic, so that any specific list will be nearly always outdated. However, it is fair to say that much of my work revolves around the following themes: game theory in security (with forays into both physical and cyber security) and privacy (particularly health data privacy), innovation diffusion and marketing (especially with a machine learning/data mining twist), robust (especially adversarial) machine learning, computational vaccine design, and computational game theory and mechanism design. ( more... ) Associate Professor Computer Science and Engineering, Washington University in St. Louis Research Interest Most of my research work crosses disciplinary boundaries. My technical background is in Artificial Intelligence, with a Ph.D. in Computer Science and Engineering from the University of Michigan under supervision of Michael P. Wellman. Much of my work is in Multiagent Systems, at the intersection of Computer Science and Economics (especially Game Theory). I particularly enjoy applied concepts from game theory to a broad array of problems, such as optimal security resource allocation, robust machine learning, risk analysis of health data de-identification strategies, and game theoretic design of broadly neutralizing antibodies. ( more... ) 2009 Yevgeniy Vorobeychik About Research Publications CV Personal Links diff --git a/src/data/compiled_bios/3736.txt b/src/data/compiled_bios/3736.txt new file mode 100644 index 0000000000..596b2d0919 --- /dev/null +++ b/src/data/compiled_bios/3736.txt @@ -0,0 +1 @@ + Toggle navigation MENU Center for Research and Innovation in Systems Safety About Faculty Staff Collaborators Research Portfolio Publications Students Contact Links TOP VUMC Search Vanderbilt University School of Medicine Vanderbilt University Medical Center Vanderbilt University Vanderbilt University is committed to principles of equal opportunity and affirmative action. Copyright 2015, Vanderbilt University Medical Center For further information or comments about this website, please contact: criss_info@vanderbilt.edu diff --git a/src/data/compiled_bios/3737.txt b/src/data/compiled_bios/3737.txt new file mode 100644 index 0000000000..e96d37af67 --- /dev/null +++ b/src/data/compiled_bios/3737.txt @@ -0,0 +1 @@ + Kirill Bolotin Assistant Professor of Physics Assistant Professor of Electrical Engineering Electrical Engineering and Computer Science (secondary) Intellectual Neighborhoods Nano Science and Technology Research Focus nanoscience, graphene AddThis Sharing Buttons Share to Twitter Twitter Share to Facebook Facebook Share to LinkedIn LinkedIn Share to Reddit Reddit Share to Email Email Share to PrintFriendly PrintFriendly Share to More AddThis : diff --git a/src/data/compiled_bios/3738.txt b/src/data/compiled_bios/3738.txt new file mode 100644 index 0000000000..65a595bbdd --- /dev/null +++ b/src/data/compiled_bios/3738.txt @@ -0,0 +1 @@ + About Admissions Academics Research Students Faculty & Staff Athletics Medical Center Email YES Blackboard c2hr Logins Libraries People Finder Campus Maps A-Z Go Vanderbilt University Vanderbilt Home Navigate VU Tools Search VU Caldwell Nanophotonic Materials and Devices Lab Page Navigation Bio People Research Lab Capabilities and Layout Dielectric Functions Publications Patents Links Current Courses Contact Us Welcome Thanks for visiting the Caldwell Nanophotonic Materials and Devices website. Find out more about our team , research , publications and how to join us . Highlights and Latest News Congrats on Publication of Tunable Strong Polariton Coupling in Nano Letters Our work on polaritonic strong coupling within cadmium oxide bilayers was just published in Nano Letters! Congrats to Evan, Kyle, Tom, Ryan, Nader and Jon-Paul! ... KEEP READING Posted on Tuesday, January 1st, 2019 in News | No Comments SiC Workshop Attended by Josh and Ryan Both Josh and Ryan attended and presented at the recent Silicon Carbide Materials & Devices Workshopat the Air Force Research Lab. Josh presented an invited talk on implications for SiC for advanced infrared optics and nanophotonics, while Ryan presented a poster highlighting recent results from a collaboration with Greg Walkers group (Vanderbilt) on harnessing waste...... KEEP READING Posted on Saturday, December 29th, 2018 in News | No Comments New class of anisotropic material discovered Check out Toms and Joshes News and Views covering the applications and implications of the recent work by Ma et. al. onMolybdenum trioxide a new class of natural hyperbolic material... KEEP READING Posted on Tuesday, November 20th, 2018 in News | No Comments Our work using plasmonic band structure to understand polaritons in metamaterials was just published! Our work using plasmonic band structure to understand polariton hybridization in metamaterials was just published in Optics Express! Check it out here!... KEEP READING Posted on Monday, October 29th, 2018 in News | No Comments Refraction of Hyperbolic Polaritons using Phase Change Materials We are delighted to say that our work oncontrolling hyperbolic polaritons in hBN using the phase change material VO2 has been published in Nature Comms! Also Check out Tom and Joshs News and Views published in nature this week! ... KEEP READING Posted on Friday, October 26th, 2018 in News | No Comments Our work probing hyperbolic polaritons using infrared attenuated total reflectance was just published in MRS Communications! Were very excited to have published our work using the attenuated total reflectance technique to probe the hyperbolic phonon polaritons in hexagonal boron nitride. This technique is a great new tool in exploring a host of 2D materials! Check it out here.... KEEP READING Posted on Tuesday, October 2nd, 2018 in News | No Comments Our work chosen as an one of the Top Advances in Engineering! Poking at phonon-polaritons at the nanoscale ... KEEP READING Posted on Wednesday, August 29th, 2018 in News | No Comments Gordon Research Seminar and Conference on Plasmonics and Nanophotonics Tom, Joseph, and Ryan attended and presented posters at the Gordon Research Seminar and Conference on Plasmonics and Nanophotonics in Newry, ME! Tom discussed his recent work on reconfigurable hyperbolic mid-infrared metasurfaces, Joseph presented on the identification of dark hyperbolic modes in hexagonal boron nitride nanostructures with the photothermal induced resonance technique (which was work...... KEEP READING Posted on Sunday, July 22nd, 2018 in News | No Comments Congrats to Jack on an Excellent Summer SSMV research term! Jack Allen, a rising senior at MLK High School in Nashville, has been working with our group as part of the School for Science and Math at Vanderbilt (SSMV). His work focused on measuring angle dependent, infrared reflection spectra from bulk crystals of transition metal dichalcogenides and extracting the corresponding IR dielectric functions. It has...... KEEP READING Posted on Wednesday, July 11th, 2018 in News | No Comments Check out our new publication in the design of graphene plasmon resonant cavities! Congrats to my coauthors, Xiaofei and Xiaofeng for this new work on the Theoretical Analysis of Graphene Plasmon Cavities that was published in Applied Materials Today! Thanks to Vincenzo Giannini and Stefan Maier for including me in this work!... KEEP READING Posted on Wednesday, July 11th, 2018 in News | No Comments New Publication on Strong Coupling in Phonon-Polariton systems Congratulations to Nikolai for his publication Strong Coupling of Epsilon-Near-Zero Phonon Polaritons in Polar Dielectric Heterostructures in Nano letters. We show that the epsilon near zero mode in a thin film of aluminium nitride strongly couples to a phonon polariton in Silicon Carbide. This work features simulations and analysis byTom. ... KEEP READING Posted on Tuesday, June 19th, 2018 in News | No Comments New FTIR! The Caldwell Lab recently received a new FTIR! Currently, the lab is working to make the FTIR fully operational. Joseph, Tom, and Jack smiling next to and examining the new FTIR.... KEEP READING Posted on Wednesday, June 13th, 2018 in News | No Comments Combined group outing! Had a wonderful day on the Harpeth river with the Valentine group. Really enjoyed the lazy morning off and great to get the groups together outside of the lab and conference rooms! Some pictures are below: Just starting out! The Valentine and Caldwell groups ready to go! From left to right: Claire Marvinney (Haglund group,...... KEEP READING Posted on Wednesday, May 16th, 2018 in News | No Comments Congrats to Rodrigo and Chris on an excellent publication Our paper on the sensitivity of surface phonon polaritons to chemical changes to the surface was recently published in ACS Photonics! This included atomically thin oxide layers using atomic-layer deposition on SiC nanopillars and demonstrated anomalous spectral shifts occurring with ultra-thin oxide deposition! Give it a read here.... KEEP READING Posted on Wednesday, May 16th, 2018 in News | No Comments Talks at the Materials Research Society Spring Meeting! The group all attended the Spring Meeting of the Materials Research Society in Phoenix, AZ. Ryan discussed his work in epsilon-near-zero surface plasmon polariton hybridization using cadmium oxide bilayers, Joseph discussed his efforts in photothermal induced resonance (PTIR) measurements of hexagonal boron nitride nanostructures (recently published in Nano Letters). Tom had a super busy...... KEEP READING Posted on Monday, April 16th, 2018 in News | No Comments Older Entries GO Recent Posts Congrats on Publication of Tunable Strong Polariton Coupling in Nano Letters SiC Workshop Attended by Josh and Ryan New class of anisotropic material discovered Our work using plasmonic band structure to understand polaritons in metamaterials was just published! Refraction of Hyperbolic Polaritons using Phase Change Materials Archives January 2019 December 2018 November 2018 October 2018 August 2018 July 2018 June 2018 May 2018 April 2018 February 2018 January 2018 December 2017 October 2017 August 2017 July 2017 May 2017 Recent Comments Your Vanderbilt Alumni Current Students Faculty & Staff International Students Media Parents & Family Prospective Students Researchers Sports Fans Visitors & Neighbors 2019 Vanderbilt University Site Development: University Web Communications diff --git a/src/data/compiled_bios/3739.txt b/src/data/compiled_bios/3739.txt new file mode 100644 index 0000000000..7293cef83e --- /dev/null +++ b/src/data/compiled_bios/3739.txt @@ -0,0 +1 @@ + Capra Lab Evolutionary and Computational Genomics at Vanderbilt University Search Main menu Skip to primary content Home News People Lab Photos Tony Capra Publications Research Software We use the tools of computer science and statistics to address problems in genetics, evolution, and biomedicine. For a summary of our major research foci, see Research . Our group is located in the Department of Biological Sciences and affiliated with the Vanderbilt Genetics Institute , the Center for Structural Biology , the Department of Biomedical Informatics and the Department of Computer Science at Vanderbilt University . Humans differ from one another and our closest living relatives, the chimpanzees, in a wide range of traits, including our susceptibility to many diseases. We model the evolutionary processes that have produced these novel traits and develop algorithms that compare genomes to predict the functional relevance of specific genetic differences between individuals and species. Our research is motivated by several questions: How have evolutionary processes produced the astonishing diversity of form and function present in the natural world? How can better algorithms lead to a deeper understanding of biological systems and networks? How do genomes encode and maintain the information necessary to produce life? How can our increasing knowledge of genomic variation be translated into the treatment and prevention of disease? We investigate these questions in a number of model systems, but our main focus is on the origins and recent evolution of human populations and their primate relatives. Proudly powered by WordPress diff --git a/src/data/compiled_bios/374.txt b/src/data/compiled_bios/374.txt new file mode 100644 index 0000000000..91d86d66c5 --- /dev/null +++ b/src/data/compiled_bios/374.txt @@ -0,0 +1 @@ +Name: Moldovan, Dan:: Position: Professor:: Degrees: Ph.D., Electrical Engineering and Computer Science, Columbia University; M.S., Electrical Engineering and Computer Science, Columbia University; B.S., Electrical Engineering, Polytechnic Institute of Bucharest; Research Interests: Natural Language Processing; Semantic Technologies; Machine Learning; Artificial Intelligence; Parallel and Distributed Processing; diff --git a/src/data/compiled_bios/3740.txt b/src/data/compiled_bios/3740.txt new file mode 100644 index 0000000000..833434405f --- /dev/null +++ b/src/data/compiled_bios/3740.txt @@ -0,0 +1 @@ + Vanderbilt University Institute of Imaging Science Prospective Students Prospective Students Vanderbilt University Institute of Imaging Science About VUIIS VUIIS Contact & Directions Training Undergraduate Training Graduate Training Post-Doctoral Training Vanderbilt University Vanderbilt University Students & Trainees Students & Trainees Nashville About Nashville Travel Travel Information Vanderbilt University Institute of Imaging Science VUIIS Scheduling VUIIS Forms VUIIS IT Sharepoint Education Education Training Program Seminars and Meetings Career Center Faculty & Staff Faculty & Staff Vanderbilt University Institute of Imaging Science Personnel Directory VUIIS IT Sharepoint VUIIS Computer / IT Support VUIIS Scheduling VUIIS Forms Travel Travel Information Education Education Training Program Seminars and Meetings Researchers Researchers Vanderbilt University Institute of Imaging Science VUIIS Contact and Directions Human Imaging Core Contact Center for Small Animal Imaging Contact Center for Molecular Probes Contact VUIIS Research VUIIS Resources VUIIS Scheduling VUIIS Forms Research Volunteers Home About Research Resources Personnel Calendar Scheduling All Core Faculty Affiliated Faculty Staff Trainees Alumni A B C D E F G H I J K L M N O P Q R S T U V W X Y Z Mark D. Does, Ph.D. Professor of Biomedical Engineering, Electrical Engineering, Radiology and Radiological Sciences Director of the Center for Small Animal Imaging Contact Information mark.does@vanderbilt.edu (615) 322-8352 Interests We are interested in developing and applying MRI methods to quantitatively characterize various properties and/or compositions of tissue. To this end we develop models of NMR relaxation and water diffusion in tissue, develop and optimize MRI pulse sequences and associated technology, and experimentally investigate in vivo and ex vivo tissue models. Projects Current projects include: i) characterizing myelin content and thickness in normal and injured neural tissues using multi-exponential transverse relaxation, magnetization transfer, water diffusion, and ultra-short T2 methods; ii) characterizing fracture properties of cortical bone through T2-discriminated measures of bone collagen, collagen-bound water, and porosity; iii) characterizing edema and muscle fiber condition in models of skeletal muscle injury and disease using T2 and water diffusion; iv) investigating the effects of inter-compartmental water exchange on MRI measures of neural tissue, muscle, and tumors using relaxation-based exchange spectroscopy and SPECT imaging. Publications K. L. West, N. D. Kelm, R. P. Carson, M. D. Does, A Revised Model for Estimating g-ratio from MRI, Neuroimage, Vol 125:1155-1158, 2016. N. D. Kelm, K. L. West, R. P. Carson, D. F. Gochberg, K C. Ess, M D. Does, Evaluation of Diffusion Kurtosis Imaging in Hypomyelinated Mouse Models, Neuroimage, 124(Pt A):612-26., 2016. M. K. Manhard, R. A. Horch, D. F. Gochberg J. S. Nyman, M. D. Does, In Vivo Magnetic Resonance Imaging of Bound and Pore Water in Cortical Bone, Radiology, Oct;277(1):221-9, 2015. C. L. Lankford, R. D. Dortch, M. D. Does, Fast T2 Mapping with Multiple Echo, Caesar cipher Acquisition and Model-Based Reconstruction, Magnetic Resonance in Medicine, 73(3):1065-74, 2015. K. D. Harkins, M. D. Does, W. A. Grissom, An iterative method for predistortion of gradient waveforms, IEEE Transactions on Medical Imaging, Vol 33(8):1641 - 1647, 2014. diff --git a/src/data/compiled_bios/3741.txt b/src/data/compiled_bios/3741.txt new file mode 100644 index 0000000000..01bc54e551 --- /dev/null +++ b/src/data/compiled_bios/3741.txt @@ -0,0 +1 @@ + Play Video Play Mute 0:00 / 0:00 Loaded : 0% Progress : 0% Stream Type LIVE 0:00 Playback Rate 1x Chapters Chapters Descriptions descriptions off , selected Captions captions settings , opens captions settings dialog captions off , selected Audio Track Fullscreen This is a modal window. Beginning of dialog window. Escape will cancel and close the window. Text Color White Black Red Green Blue Yellow Magenta Cyan Transparency Opaque Semi-Transparent Background Color Black White Red Green Blue Yellow Magenta Cyan Transparency Opaque Semi-Transparent Transparent Window Color Black White Red Green Blue Yellow Magenta Cyan Transparency Transparent Semi-Transparent Opaque Font Size 50% 75% 100% 125% 150% 175% 200% 300% 400% Text Edge Style None Raised Depressed Uniform Dropshadow Font Family Proportional Sans-Serif Monospace Sans-Serif Proportional Serif Monospace Serif Casual Script Small Caps Reset restore all settings to the default values Done Close Modal Dialog End of dialog window. 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Checking the address for a typo. Check the navigation links to your left. View the A-Z Index. Returning to the previous page. Searching our site: Go The vanderbilt.edu site and its related web pages are maintained by many different departments and organizations at Vanderbilt University. Every effort is made to keep this information updated and accurate. If you would like to assist us in resolving this error, we invite you to contact the department responsible for the page you visited. 404 Find Information For Alumni Current Students Prospective Students International Resources Faculty and Staff Media Medical Center Parents and Family Researchers Sports Fans Visitors and Neighbors Working at Vanderbilt Vanderbilt University Nashville, Tennessee 37240 (615) 322-7311 Contact Us Site Development: Digital Strategies (Division of Communications). Vanderbilt University is committed to principles of equal opportunity and affirmative action. Accessibility information . 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All rights reserved. diff --git a/src/data/compiled_bios/3742.txt b/src/data/compiled_bios/3742.txt new file mode 100644 index 0000000000..8f6f572330 --- /dev/null +++ b/src/data/compiled_bios/3742.txt @@ -0,0 +1 @@ + Ivelin Georgiev Assistant Professor of Computer Science Electrical Engineering and Computer Science (secondary) AddThis Sharing Buttons Share to Twitter Twitter Share to Facebook Facebook Share to LinkedIn LinkedIn Share to Reddit Reddit Share to Email Email Share to PrintFriendly PrintFriendly Share to More AddThis : diff --git a/src/data/compiled_bios/3743.txt b/src/data/compiled_bios/3743.txt new file mode 100644 index 0000000000..e1c9cc82e5 --- /dev/null +++ b/src/data/compiled_bios/3743.txt @@ -0,0 +1 @@ + Dennis Hall Professor of Physics Professor of Electrical Engineering Electrical Engineering and Computer Science (secondary) Research Focus interaction of light with matter; optical waveguide phenomena; propagation of light Biography Dennis G. Hall is Professor of Physics (primary appointment) and Professor of Electrical Engineering (secondary appointment) at Vanderbilt University (VU) in Nashville, Tennessee. Prior to January 1, 2015, he served Vanderbilt as Vice Provost for Research and Dean of the Graduate School for nearly 15 years before stepping down from his administrative roles to focus on research and writing. During his time in Vanderbilts central administration, he served as the chief academic officer of the Graduate School and as the chief research officer for non-medical research. He worked jointly with the VU medical centers chief research officer to oversee a number of university-wide activities and interests. In addition, he oversaw the Vanderbilt University Press, the University Library, served on the Provosts Budget Allocation Committee and as the permanent member of Vanderbilts Promotion and Tenure Review Committee. From 2001-2008, he served as a member of the Board of Directors of Oak Ridge Associated Universities. From September 2004 through December 2014, Prof. Hall served as Vanderbiltsrepresentative on the Governing Board that oversees the management of the Oak Ridge National Laboratory. His occasional essays on a variety of topics have appeared in local and national venues. Prior to July 1, 2000, he was William F. May Professor and Director (department chair) of The Institute of Optics, an eminent academic department at the University of Rochester (New York). A member of the Rochester faculty from 1980, he served as Director of The Institute of Optics during 1993-2000. He is a Fellow of each of the Optical Society of America (OSA), the American Physical Society (APS), the American Association for the Advancement of Science (AAAS), and the International Society for Optical Engineering (SPIE). He is a former (elected) member of OSAs Board of Directors and served as a Topical Editor of the Journal of the Optical Society of America from 1994-1997. Prof. Hall is the recipient of two undergraduate teaching awards at Rochester, is the author or co-author of more than 125 journal articles and several book chapters, and is the editor of the 1993 reprint volume Coupled-Mode Theory in Guided-Wave Optics (SPIE Press). He has supervised to completion twenty-one Ph.D. dissertations and six M.S. theses. After completing the first two years of his college education at a community college (Belleville Area College now Southwest Illinois College), Prof. Hall received (two years later) a B.S. degree in Physics from the University of Illinois (Urbana-Champaign), followed by an M.S. degree in Physics from Southern Illinois University (Edwardsville), and a Ph.D. in Physics from the University of Tennessee (Knoxville); his dissertation research in theoretical solid-state physics was carried out at the Oak Ridge National Laboratory. In 2009, the Illinois Community College Trustees Association selected Prof. Hall to receive its annual (statewide) Distinguished Alumnus Award, which was presented at a June ceremony in Chicago. For most of his career, Prof. Halls theoretical and experimental research focused on laser and optical-waveguide phenomena, including interactions involving molecules, nanoparticles and textured surfaces. More recently, he has turned his attention to matters closer to theconceptual foundations of physics, including, for instance, the propagation of light in a gravitational field. Professor Hall and Rita, his wife of 45 years, have three children and four grandchildren (ages 9 years, 5 years, 5 years, and 2 years). He is a licensed and active amateur radio operator (KK4RVW, Amateur Extra Class license). AddThis Sharing Buttons Share to Twitter Twitter Share to Facebook Facebook Share to LinkedIn LinkedIn Share to Reddit Reddit Share to Email Email Share to PrintFriendly PrintFriendly Share to More AddThis : diff --git a/src/data/compiled_bios/3744.txt b/src/data/compiled_bios/3744.txt new file mode 100644 index 0000000000..bd7ebbdff1 --- /dev/null +++ b/src/data/compiled_bios/3744.txt @@ -0,0 +1 @@ + Bradley Malin Professor of Biomedical Informatics Professor of Biostatistics Professor of Computer Science Electrical Engineering and Computer Science (secondary) Research Focus Biomedical informatics, data science, big data, machine learning, data privacy and security AddThis Sharing Buttons Share to Twitter Twitter Share to Facebook Facebook Share to LinkedIn LinkedIn Share to Reddit Reddit Share to Email Email Share to PrintFriendly PrintFriendly Share to More AddThis : diff --git a/src/data/compiled_bios/3745.txt b/src/data/compiled_bios/3745.txt new file mode 100644 index 0000000000..6ba8c85e98 --- /dev/null +++ b/src/data/compiled_bios/3745.txt @@ -0,0 +1 @@ + Rubinov Lab home people positions papers code home people positions papers code Search by typing & pressing enter YOUR CART The Rubinov Lab analyzes and models brain networks across species and scales. We are broadly interested in: Integrative models of big neuroscience data Evolutionary principles of brain network organization Information transfer in neural systems Neuropsychiatric connectivity phenotypes We are based at the Department of Biomedical Engineering , Vanderbilt University, and collaborate with leading investigators across Vanderbilt and at Janelia Research Campus , Howard Hughes Medical Institute. Figures: thanks to Linda Geerligs, Rolf Ypma and Nikita Vladimirov. diff --git a/src/data/compiled_bios/3746.txt b/src/data/compiled_bios/3746.txt new file mode 100644 index 0000000000..6533efb02e --- /dev/null +++ b/src/data/compiled_bios/3746.txt @@ -0,0 +1 @@ + Skip to content Vanderbilt University School of Engineering RASL Robotics and Autonomous Systems Lab at Vanderbilt Primary Menu Home People Research Publications Facilities Contact Us Welcome to the Robotics and Autonomous Systems Laboratory (RASL) at Vanderbilt University. We are dedicated to developing new generations of robots and computer-based intelligent systems that are able to interact with people in a smooth and natural way. Examples of our work include virtual reality systems that can sense human emotions from various implicit signals and cues such as ones physiology, gestures, and facial expressions. The applications of our research range from helping individuals with neurodevelopmental disabilities such as autism, schizophrenia, and dementia in learning new skills, to aiding stroke patients regaining some of their movement abilities through robot-assisted rehabilitation, and to providing more autonomy in robots for a variety of tasks. Here at RASL, we welcome faculty, students, and research staff from a multitude of technical backgrounds, including mechanical engineering, electrical engineering, biomedical engineering, computer science, psychology and human development, nursing, and medical school. Although primarily a graduate research lab, we encourage and provide research experience to both undergraduate and high school students. Noteworthy News RASL Director Nilanjan Sarkar New Chair of Mechanical Engineering June 1, 2018 Lian Successfully Defends Dissertation, Now Heading to Facebook! April 23, 2018 Congrats to Huan Zhao: New Article in IEEE Transactions on Human-Machine Systems February 15, 2018 IntelliCane System is a Featured News Story February 15, 2018 RASL Presents at Symposium hosted by New Vanderbilt Autism Initiative November 20, 2017 RASL Members Win 2017 TechVenture Challenge August 3, 2017 Recap of HCII 2017 in Vancouver August 1, 2017 Robot-mediated Intervention Research Featured on ABC News! March 31, 2017 Dayi and Josh Talk to Health Science Students about Autism Research October 14, 2016 Continued Media Exposure for RASL Research August 19, 2016 Partners TRIAD Park Lab VU/MTSU Software Engineering Project Categories featured News Uncategorized Private Log in Entries RSS Comments RSS WordPress.org Copyright 2017 Robotics and Autonomous Systems Laboratory at Vanderbilt Search for: diff --git a/src/data/compiled_bios/3747.txt b/src/data/compiled_bios/3747.txt new file mode 100644 index 0000000000..8bd54a1939 --- /dev/null +++ b/src/data/compiled_bios/3747.txt @@ -0,0 +1 @@ + Richard Shiavi Professor of Biomedical Engineering, Emeritus Professor of Electrical Engineering, Emeritus Biomedical Engineering Electrical Engineering and Computer Science (secondary) Research Focus signal processing applied to biomedical applications and speech, innovations in engineering education AddThis Sharing Buttons Share to Twitter Twitter Share to Facebook Facebook Share to LinkedIn LinkedIn Share to Reddit Reddit Share to Email Email Share to PrintFriendly PrintFriendly Share to More AddThis : diff --git a/src/data/compiled_bios/3748.txt b/src/data/compiled_bios/3748.txt new file mode 100644 index 0000000000..6c8287aec2 --- /dev/null +++ b/src/data/compiled_bios/3748.txt @@ -0,0 +1 @@ + Contact Us Facebook Youtube Media Extra-Curricular Links Main Menu Home Members Research Education Publications Workshops News Vanderbilt Resources Vanderbilt University Department of Mechanical Engineering ARMA Wiki Large Visitor Globe Login If you are a member or an alumnus of A.R.M.A. you may login to submit articles and contribute to the website. Username Password Remember Me Log in Forgot your username? Forgot your password? New (10/21/2018): A post-doctoral position is immediately available. See details Here A.R.M.A. is a research laboratory for Advanced Robotics and Mechanism Applications . ARMA is focused on advanced robotics research including robotics, mechanism design, control, and telemanipulation for medical applications. We focus on enabling technologies that necessitate novel design solutions and require contributions in design modeling and control. ARMA has lead the way in advancing several robotics technologies for medical applications including high dexterity snake-like robots for surgery, steerable electrode arrays for cochlear implant surgery, robotics for single port access surgery and natural orifice surgery. We collaborate closely with industry on translating our research. Examples include technologies for snake robots licensed to industry, technologies for micro-surgery of the retina which lead to the formation of AURIS Surgical Robotics Inc., the IREP single port surgery robot which has been licensed to Titan Medical Inc. and serves as the research prototype behind the Titan SPORT (Single Port Orifice Robotic Technology). A.R.M.A. is focused on the following aspects of its mission: Advancing the field of kinematics of mechanisms & robot design: We focus on developing new methods of synthesis, analysis & optimization of novel robots and mechanisms. Our current research efforts include developing a new generation of robots using flexible links, actuation redundancy, and various mechanical architectures. These robots are developed for surgical applications that include microsurgery and minimally invasive surgery. Application-driven research: Although our research includes a considerable emphasis on mathematical methods of modeling of novel architectures, we aim at maintaining a sound balance between vital theoretical research topics and sound applications that benefit society. Our main focus is on developing new robots for applications in surgery. These robots may have complex and novel architectures, or simple, yet useful and beneficial mechanisms . Student involvement in research: Our main educational goal is to offer a productive, competitive, and positive environment in which graduate & undergraduate students can develop. Undergraduate Students are welcome to participate in the ongoing research activity at ARMA pending space availability. See our link for undergraduate research under Education . Outreach: Students and faculty and ARMA view research as an integrated part of making a positive contribution to society.We believe that this can be achieved by solving relevant engineering problems with beneficial applications as well as by training and encouraging new generations of engineers. ARMA routinely recruits high-school students, science teachers, and undergraduate students for hands-on project involvement in research and educational projects. Powered by Joomla! . Valid XHTML and CSS . diff --git a/src/data/compiled_bios/3749.txt b/src/data/compiled_bios/3749.txt new file mode 100644 index 0000000000..a6a113d79c --- /dev/null +++ b/src/data/compiled_bios/3749.txt @@ -0,0 +1 @@ + Keivan G. Stassun Stevenson Professor Physics & Astronomy Vanderbilt University The Life and Death of Stars video course available on DVD or online. vita crew about autism research publications teaching diversity outreach contact jaime em Department of Physics & Astronomy : College of Arts & Science : Vanderbilt University Vanderbilt Initiative in Data-Intensive Astrophysics (VIDA) Vanderbilt Center for Autism and Innovation diff --git a/src/data/compiled_bios/375.txt b/src/data/compiled_bios/375.txt new file mode 100644 index 0000000000..b180deafe5 --- /dev/null +++ b/src/data/compiled_bios/375.txt @@ -0,0 +1 @@ +Name: Montillo, Albert:: Position: Affiliate Assistant Professor:: UT Southwestern Bioinformatics Department Degrees: B.S. Computer Science, Rensselaer Polytechnic Institute; M.S. Computer Science, Rensselaer Polytechnic Institute; Ph.D. Computer Science and Medical Imaging, University of Pennsylvania; Research Interests: Theory and application of deep learning to improve healthcare; Mentoring PhD and MD/PhD students, and postdoctoral fellows; Automated hyperparameter optimization, embedding priors, causality, visualizing learned network abstractions; Developing diagnostics, prognostics and treatment guidance from neuroimaging and non-imaging data for mental and neurodevelopment disorders, as well as neurodegenerative and oncological diseases.; Major Honors and Awards: Outstanding Computer Science Senior Award, Rensselaer Polytechnic Institute; Best Paper Award, SPIE Medical Imaging; Seven issued U.S. Patents, key contributor to FDA approved brain atrophy quantification system; Representative Publications: Prabhat Garg, Elizabeth M. Davenport, Gowtham Murugesan, Christopher Whitlow, Joseph Maldjian, Albert Montillo, Using Convolutional Neural Networks to Automatically Detect Eye-Blink Artifacts in Magnetoencephalography, Medical Image Computing and Computer Assisted Intervention (MICCAI), 2017; Behrouz Saghafi, Benjamin C. Wagner, S. Carrie Smith, Jianzhao Xu, Jasmin Divers, Ananth Madhuranthakam, Barry I. Freedman, Joseph A. Maldjian, and Albert A. Montillo, Deep Fully Connected Neural Network for Estimation of Caudate Perfusion from Clinical Parameters in African Americans with Type 2 Diabetes, Deep Learning for Medical Image Analysis, 2017; Albert Montillo, Qi Song, Bipul Das, Zhye Yin, Hierarchical Pictorial Structures for Simultaneously Localizing Multiple Organs in Volumetric Pre-Scan CT, Proc. SPIE Medical Imaging, Vol. 9413, pp. 9413.28:1-6, 2015; Albert Montillo, Jilin Tu, Jamie Shotton, John Winn, J. Eugenio Iglesias, Dimitris Metaxas, and Antonio Criminisi, Entangled Forests and Differentiable Information Gain Maximization, Chapter 19 of Decision Forests for Computer Vision and Medical Image Analysis, Springer, pp. 273-293, 2013; Bruce Fischl, David Salat, Evelina Busa, Marilyn Albert, Megan Dieterich, Christian Haselgrove, Andre van der Kouwe, Ron Killiany, David Kennedy, Shuna Klaveness, Albert Montillo, Nikos Makris, Bruce Rosen, and Anders Dale, Whole brain segmentation- automated labeling of neuroanatomical structures in the human brain: with application to change detection in Alzheimers disease, Neuron, volume 33, pp. 341-355, 2002.; Notable Service: Teaching machine learning and statistics; Member of Program Committee: SPIE Medical Imaging Conference; Admissions Committee: Biomedical Engineering Program, UTSW; diff --git a/src/data/compiled_bios/3750.txt b/src/data/compiled_bios/3750.txt new file mode 100644 index 0000000000..2a530f45a0 --- /dev/null +++ b/src/data/compiled_bios/3750.txt @@ -0,0 +1 @@ + Home News Research Publications People Contact Welcome! You have found your way to the website for the Valentine research group. Please take a chance to look around and see what we are all about. Graduate Students We are actively looking for motivated graduate students who are interested in tackling challenging problems at the frontier of science and engineering. Those interested should contact Prof. Valentine . Our Mission We are a team of researchers interested in understanding how nanoscale structuring can be used to engineer a material's optical properties. We are focused on using this understanding to develop novel materials for applications such as communications, imaging, optoelectronic devices, photonic circuitry, and solar energy conversion. The lab is under the direction of Prof. Jason Valentine in the Mechanical Engineering Department at Vanderbilt University . Highlights Dynamic All-Dielectric Metasurfaces Published in Optica Report on the Future of Electronic and Photonic Materials Check out the NSF report on the current and future opportunities in the field. Professor Valentine Selected as a Chancellor's Faculty Fellow Read more about the program here Professor Valentine Wins Chancellor's Award for Research The award reflects the lab's role in the development of dielectric metamaterials. The award was given at the Fall Faculty Assembly Dynamic Emissivity Control Published in Advanced Materials Dynamic Metamaterials Based on Vanadium Dioxide Published in Nano Letters Review on Hot Electron-Based Photodetection Published in Nanophotonics Congrats to Zhihua on Receiving the Best Poster Award for Nanoday 2016! Zhihua's poster on reconfigurable metamaterials was selected as the best poster during Nanoday 2016! Lithography-free Metamaterial with Stable Thermal Emission Published in Advanced Optical Materials Hot Electron Injection in Bilayer MoS 2 Published in Nano Letters Nonlinear Enhancement in Si-based Metasurfaces Published in Nano Letters Silicon-Based Circularly Polarized Light Detector Published in Nature Communications Check out the story at Phys.org Yuanmu Receives the Best Graduate Student Paper Award! Yuanmu's paper in Nano Letters was selected as the best over the past year within the School of Engineering Read more here Large-scale Perfect Reflectors Published in ACS Photonics Featured in Chemical and Engineering News Highlighted in Nature Materials Near-unity Optical Absorption in 2D Materials Published in Applied Physics Letters Electromagnetically Induced Transparency in Dielectric Metamaterials Published in Nature Communications Hot Electron Photodetectors Published in Nano Letters All-Dielectric Perfect Reflectors Published in Applied Physics Letters Highlighted in Nature Photonics All-Dielectric Metasurfaces Published in Nano Letters All-Dielectric Zero-index Metamaterials Published in Nature Photonics Thermoplasmonic Antenna Design and Probing Published in Nano Letters diff --git a/src/data/compiled_bios/3751.txt b/src/data/compiled_bios/3751.txt new file mode 100644 index 0000000000..b511d60e89 --- /dev/null +++ b/src/data/compiled_bios/3751.txt @@ -0,0 +1 @@ + Thermal Engineering Lab Vanderbilt University Home People Research Publications Resources TELab Links Publications Thermal camera images Contact Lab: 608 Olin Hall Ph: 615.936.0053 Office: 335 Olin Hall Ph: 615.343.6959 Fx: 615.343.6687 USPS Address: 2301 Vanderbilt Place PMB 351592 Nashville, TN 37235-1592 Shipping Address: 101 Olin Hall 2400 Highland Ave. Nashville, TN 37212 External Links ThermalHUB.org "research in ... thermal measurement and energy transport" About TELab The Thermal Engineering Lab is directed by Prof. Greg Walker of the Department of Mechanical Engineering at Vanderbilt University. Our mission is to explore the physical effects of energy transport particularly in nanoscale structures to obtain a better understanding of the physical world that can lead to engineering discoveries in energy applications. One focus is in microscale energy transport in semiconductor devices designed for energy conversion. This includes thermoelectric devices, solar cells, and fuel cells, for example. We also study fundamental artifacts of small scale transport such as thermal rectification, interfacial conductance and nanofluid convection. A second focus area is in heat flux measurement using thermographic phosphors and ultrasonic approaches. Our techniques have been applied to gun barrels, aerospace testing in wind tunnels and combustion chambers. Prospective students We are always looking for quality students to join our group. Prospective students should contact Greg Walker for information about upcoming projects. Heat Transfer Reference Heat transfer reference infomation is available here (external link). The download is designed for undergraduate heat transfer problem solving. Last modified: Tuesday, 14-Aug-2018 09:12:20 CDT Copyright 2008 Vanderbilt University diff --git a/src/data/compiled_bios/3752.txt b/src/data/compiled_bios/3752.txt new file mode 100644 index 0000000000..5d08ed0ffd --- /dev/null +++ b/src/data/compiled_bios/3752.txt @@ -0,0 +1 @@ + Skip to main content Main menu Home People Research Publications News Contact Us 1 2 3 4 5 6 7 8 9 In the MED lab, our research is primarily in surgical robotics and on other devices to make surgery less invasive and more accurate.For more information(and videos!)aboutour research, click on the research tab above. The MED lab is a laboratory in theMechanical Engineering department at Vanderbilt University, and is a charter member of the Vanderbilt Initiative in Surgery and Engineering . Prospective graduate students, please click here . The MED lab is a place where doctors and engineers work side by side to create new lifesaving medical technologies. We design and construct devices to make interventional medicine more accurate, less invasive, and more effective. With a world-class medical center a 5-minute walk from the lab, we are often in operating rooms observing surgical procedures and conducting experiments with the devices we build. We also patent our work, which enables us to transfer it to commercial products, amplifying its real-world impact. Our partners include startup companies such as Pathfinder Theraputics and Acoustic MedSystems, as well as larger companies including Intuitive Surgical and MathWorks. Current major projects include a surgical robot with tentacle-like, needle-diameter arms that removes tumors from the center of the head through the nose (partnership with Neurosurgery), a parallel robot that reduces invasiveness in cochlear implant surgery which restores hearing to the deaf (partnership with Otolanrygology), endowing the da Vinci with "surgical GPS" to enable more accurate and less invasive kidney surgery (partnership with Urologic Surgery), as well as systems for lung interventions (partnership with Radiology), transurethral laser prostate surgery (partnership with Urologic Surgery), and needle-based treatment of cerebral hemorrhages and epilepsy (partnership with Neurological Surgery). Graduate and undergraduate students in the MED Lab receive a unique educational experience in which they work side by side with surgeons, and are encouraged to pursue not only ongoing lab projects, but also their own ideas as they learn to be innovators in surgical engineering and robotics. Recent News 08/06/2018 The MED Lab makes an appearance on Nashville's largest news network! News Channel 5 aired astory on one of our newest robot systems developed for lung surgery. Check out the story here on YouTube. 04/08/2018 MED Lab director Dr. Robert Webster has been elevated to Full Professor this year. Congratulations, Dr. Webster! 10/20/2017 This year's winner of the MED Lab Salsa Cookoff wasMax Emerson. The competition was tough, butMax's tasty, California-style guacamole came out on top! 10/19/2017 Stephanie Amack scores her third goal of the soccer season, and Vanderbiltbeats University of Tennessee in a nail-biter! Congrats, Steph! 09/05/2017 Max Emerson, Tayfun Efe Ertop and Stephanie Amack all joined the MED Lab this summer. We're looking forward to all the cool research they'll be doing as they pursue graduate degrees! 07/03/2017 At the 2017 ICRA conference in Singapore, Patrick presented his work on Real-Time Redundancy Resolution for Concentric Tube Robots to Avoid Elastic Instability. He was awarded best poster in the C4Surgical Robotics Workshop. Congrats, Patrick! 06/26/2017 MED Lab post-doc Isuru Godage will be heading to Chicago this fall as an assistant professor in the School of Computing at DePaul University. Congrats, Isuru! 06/26/2017 MED Lab post-doc Loris Fichera has accepted a faculty position in the Computer Science department at Worcester Polytechnic Institute. Congratulations to Loris! 05/05/2017 Richard Hendrick defended his PhD dissertation today, entitled "System Design and Elastic Stability Modeling of Transendoscopic Continuum Robots". Congratulations, Rich! 04/01/2017 MED Lab student Patrick Anderson was awarded an NSF Graduate Research Fellowship this year. Congratulations, Patrick! 2014 All text, images, and videos on this site are protected under United States and International copyright laws, treaties, and conventions. All Right Reserved. Duplication, modification, or redistribution, in whole or in part, requires explicit written permission. diff --git a/src/data/compiled_bios/3753.txt b/src/data/compiled_bios/3753.txt new file mode 100644 index 0000000000..722cc29297 --- /dev/null +++ b/src/data/compiled_bios/3753.txt @@ -0,0 +1 @@ + Arthur Brodersen Professor of Electrical Engineering, Emeritus Professor of Computer Engineering, Emeritus Electrical Engineering and Computer Science Research Focus Intelligent tutoring systems, asynchronous distance learning courseware, first-year engineering courseware, and integrated electronic circuits and semiconductor devices. AddThis Sharing Buttons Share to Twitter Twitter Share to Facebook Facebook Share to LinkedIn LinkedIn Share to Reddit Reddit Share to Email Email Share to PrintFriendly PrintFriendly Share to More AddThis : diff --git a/src/data/compiled_bios/3754.txt b/src/data/compiled_bios/3754.txt new file mode 100644 index 0000000000..c36630b7c7 --- /dev/null +++ b/src/data/compiled_bios/3754.txt @@ -0,0 +1 @@ +George E. Cook 1. Name and date of birth: April 4, 1938 2. Academic rank: Professor 3. Degrees with fields, institutions and dates: Degree Field Institution Degree Date Ph.D Elect. Engr. Vanderbilt University 1965 M.S. Elect. Engr. University of Tennessee 1961 B.E. Elect. Engr. Vanderbilt University 1960 4. Number of years service on this faculty: 33 years 5. Other related experience: Position Employer Employment Dates Engineer Western Electric Co. 1960 Vice President Merrick Engineering Inc. 1964-69 and Director of R&D Technical Director Industrial Electronics 1969-72 Laboratory Vice President and Advanced Control 1972-74 Director of R&D Engineering Vice President and The Merrick Corporation 1974-81 Director of R&D Manager of R&D CRC Welding Systems, Inc. 1981-83 6. Consulting: Advanced Robotics, CYBO Robots, Fanuc Robotics, Babcock & Wilcox, Unimation, TekTran, Westinghouse, General Motors, General Electric 7. States in which registered: Tennessee, Kentucky, Alabama, Wisconsin 8 Principal Publications in the last five years: Andersen, K., Cook, G. E., Karsai, G., and Ramaswamy, K., "Artificial Neural Networks Applied to Arc Welding Process Modeling and Control," IEEE Transactions on Industry Applications, Vol 26, No. 5, pp 824-830, Sept./Oct. 1990. Cook, G. E., Andersen, K., Barnett, R. J., and Springfield, J. F., Invited Paper, "Intelligent Gas Tungsten Arc Welding Control," Proc. of Conf. on Automated Welding Systems in Manufacturing, Gateshead, England, The Welding Institute, 10 pgs, Nov. 17-19, 1991. Karsai, G., Andersen, K., Cook, G. E., and Barnett, R. J., "Neural Network Methods for the Modeling and Control of Welding Processes," Journal of Intelligent Manufacturing, Vol. 3, pp 229-235, 1992. Liu, Y., Cook, G. E., Barnett, R. J., and Springfield, J. F., "PC-Based Arc Ignition and Arc Length Control System for Gas Tungsten Arc Welding," IEEE Transactions on Industry Applications, Vol. 28, No. 5, pp 1160-1165, Sept./Oct. 1992. Bjorgvinsson, J. B., Cook, G. E., and Andersen, K., "Microprocessor-Based Arc Voltage Control for Gas Tungsten Arc Welding Using Gain Scheduling," IEEE Transactions on Industry Applications, Vol. 29, No. 2, pp 250-255, March/April 1993. Parlaktuna, O., Cook, G. E., Strauss, A. M., and Fernandez, K. R., "Jacobian control for space manipulator," Robotics and Autonomous Systems, Vol. 11, pp 35-44, 1993. Cook, G. E., Andersen, K., and Barnett, R. J., "Welding and Bonding," The Electrical Engineering Handbook, Ed.: Richard C. Dorf, CRC Press, Inc., pp 2223-2237, 1993. Parlaktuna, O., Cook, G. E., Strauss, A. M., and Fernandez, K. R., "Fine Attitude Control of Space Vehicles Using Space Manipulators," International Journal of Robotics & Automation, Vol. 9, No. 1, pp 29-35, 1994. 9. Scientific and professional societies: IEEE (Fellow), AIAA, AWS, SME, ASME, ASM, ASEE, AAAS, NSPE, TSPE 10. Honors and awards: Fellow, IEEE, AWS 1987 Comfort A. Adams Lecture Award, AWS 1993 Adams Memorial Award, James F. Lincoln Arc Welding Foundation 1981 Gold Award, NASA Space Act Award, NASA Certificates of Recognition (6) 11. Courses taught in 1994-95 academic year: Lab Lect. No.of Day or Semester Title hrs. hrs. Sections Evening Fall 94 EE291: Special Topics - Robotics 0 3 1 Day EE331: Robot Manipulators 0 3 1 Day (Note: EE331 is co-listed with ME331, and EE291 Special Topics - Robotics has the counterpart in ME, ME210A Special Topics - Robotics.) 12. Other assigned duties performed during the academic year and approximate hours/week: Director, Industrial Liaison and Technology Development Office 20 hours per week 13. Improved teaching and professional competence during last five years: During the last 5 years, I and students have worked on the development of a powerful robot simulation system called ROBOSIM. Using this software package, students are able to design their own robots, positioners, and workspace environments, incorporate inverse kinematics, and test their designs in high-speed graphical animation. diff --git a/src/data/compiled_bios/3755.txt b/src/data/compiled_bios/3755.txt new file mode 100644 index 0000000000..e514d48edd --- /dev/null +++ b/src/data/compiled_bios/3755.txt @@ -0,0 +1 @@ + Lawrence (Larry) W. Dowdy Professor of Computer Science and Computer Engineering, Emeritus Larry Dowdy obtained the B.S. degree in Mathematics from Florida State University in 1974. He then went to Duke University where he obtained both an M.A. degree and a Ph.D. in Computer Science in 1976 and 1977, respectively. From 1978-81, Dr. Dowdy was an Assistant Professor of Computer Science at the University of Maryland at College Park . From 1981-2014, he was a faculty member at Vanderbilt University in the Department of Electrical Engineering and Computer Science . In 1987-88, he spent a sabbatical year at the Institut fr Informatik at the University of Erlangen- Nrnberg , Germany . From 1995-98, he served as the Chair of the Computer Science Department. Professor Dowdy served as Vanderbilt'sDean of Students from 1998-2001. During 2002-03, he was on sabbatical leave ( pictures ) at the University of Leeds , England, in the School of Computing . In the past, ProfessorDowdy served a member of the IFIP Working Group 7.3, an international group of researchers in the area of performance measurement and modeling of computer systems. Dr. Dowdy also served as the Chair of SIGMETRICS and has served as the senior editor of the "Performance Supplement" project, a joint project sponsored by ACM SIGMETRICS and the Computer Measurement Group (CMG). He has co-authored three books, P.S. to Operating Systems , Capacity Planning and Performance Modeling , and Performance by Design published by Prentice Hall, and has received research, teaching, and administrative awards. Professor Dowdy has taught many courses, primarily in the areas of operating systems and performance analysis. He has also been involved in the One Laptop Per Child initiative and with Engineers Without Borders . In 2012, he spent three months in South America ( blog ). In 2014, Larry retired from Vanderbilt University as an emeritus faculty member. Larry and his wife, Sharon, are proud of their children, David and Erin, of their son-in-law, Matt, and of their three grandchildren, Chessie , Ethan, and Owen. Contact: Email: larry.dowdy@vanderbilt.edu Phone: 615-417-8447 diff --git a/src/data/compiled_bios/3756.txt b/src/data/compiled_bios/3756.txt new file mode 100644 index 0000000000..b725d6ec6c --- /dev/null +++ b/src/data/compiled_bios/3756.txt @@ -0,0 +1 @@ + Stephen R. (Steve) Schach Professor of Computer Science, Emeritus Professor of Computer Engineering, Emeritus I obtained an M.S. in Physics at the Weizmann Institute of Science in 1972, and a Ph.D. in Applied Mathematics at the University of Cape Town in 1973. Between 1972 and 1983, I held faculty positions in the Departments of Applied Mathematics and Computer Science at the University of Cape Town. In 1983 I joined the Department of Computer Science at Vanderbilt University. My research interests are in the field of software engineering in general and specifically in the empirical analysis of open-source software. I have written a number of textbooks on software engineering, object-oriented software engineering, and object-oriented systems analysis and design. I have over 130 refereed publications to my name. I consult internationally and serve as an expert witness on intellectual property and software. I now live in Sydney, Australia. I have recently authored or co-authored eight works of fiction: seven thrillers and a satire . The first book, a historical spy thriller set in the Kingdom of Prussia in 1747, entitled Old Bach Is Come , was published in March 2013. The second, Coopers Island , is a World War II spy thriller set in New Zealand. Highly Satisfactory , a spy thriller published in April 2014, is also set in World War II. The plot is constructed around the decision to drop the atomic bomb on Hiroshima and Nagasaki. A Matter of Trust is set in Kyoto, Japan. A specialist in offshore trusts believes that he is the victim of a large-scale conspiracy. Bakerloo Line is a new twist on the Israeli Mossad agents vs. Palestinian terrorists genre; Greek fascists capture the Palestinian's arms cache and decide to use the weaponry to blow up Waterloo Tube Station in London. The book was published in April 2015. Rudolf Hess's flight to Scotland in May 1941 is the basis for the sixth book, Double Two , a World War II spy thriller set in western Scotland and south-eastern England. The publication date was April 2016. The Book Buyer , which appeared in print in July 2017, is a hilarious satire of the modern publishing industry, as well as classical detective stories. Crossword Traitor was published in April 2018. Set in World War II, information and disinformation is sent via clues and solutions of cryptic crossword puzzles. Object-Oriented and Classical Software Engineering , Eighth Edition Web site of Object-Oriented and Classical Software Engineering , Eighth Edition Old Bach Is Come Web site of Old Bach Is Come Coopers Island Web site of Coopers Island Highly Satisfactory Web site of Highly Satisfactory A Matter of Trust Web site of A Matter of Trust Bakerloo Line Web site of Bakerloo Line Double Two Web site of Double Two The Book Buyer Web site of The Book Buyer Crossword Traitor Web site of Crossword Traitor Phone: 615.322.2796 Fax: 615.343.5459 E-Mail: srs@vuse.vanderbilt.edu Mailing Address: Department of Electrical Engineering and Computer Science, Vanderbilt University Box 1679, Station B Nashville, TN 37235 diff --git a/src/data/compiled_bios/3757.txt b/src/data/compiled_bios/3757.txt new file mode 100644 index 0000000000..77145472d9 --- /dev/null +++ b/src/data/compiled_bios/3757.txt @@ -0,0 +1 @@ + Charles Stephenson Professor of Electrical Engineering, Emeritus Electrical Engineering and Computer Science Research Focus electricity and magnetism AddThis Sharing Buttons Share to Twitter Twitter Share to Facebook Facebook Share to LinkedIn LinkedIn Share to Reddit Reddit Share to Email Email Share to PrintFriendly PrintFriendly Share to More AddThis : diff --git a/src/data/compiled_bios/3758.txt b/src/data/compiled_bios/3758.txt new file mode 100644 index 0000000000..eb87bf6717 --- /dev/null +++ b/src/data/compiled_bios/3758.txt @@ -0,0 +1 @@ + Robert Weller Professor of Electrical Engineering, Emeritus Professor of Materials Science and Engineering, Emeritus Professor of Physics, Emeritus Electrical Engineering and Computer Science Intellectual Neighborhoods Big Data Science and Engineering Risk and Reliability Research Focus Radiation effects in semiconductor devices and materials, computer simulation of radiation effects and semiconductor devices, thin film materials and nanostructures Biography Robert Weller received his doctorate in physics from the California Institute of Technology (Caltech) in 1978 following service as a naval officer during the Vietnam conflict. He joined the faculty of the Vanderbilt University School of Engineering in 1987 after seven years as an assistant and later associate professor of physics at Yale University. Throughout his career, the theme of Professor Wellers research has been the study of the interaction of radiation with matter and the effects thereof. Motivated by his lifelong interest in astrophysics and spaceflight, his work has touched areas from ion-beam analysis of geological and lunar samples to basic studies in the physics of ion sputtering and secondary ion emission. A recurring theme has been the development and application of novel ion-beam analytical techniques. In recent years, his interests have evolved from laboratory investigation to scientific computing, emphasizing the interaction of radiation with semiconductor materials and devices. The intellectual contributions of this work, embodied in a computer program called MRED, have revolutionized the simulation of single event effects in microelectronics and are factors contributing to the international preeminence of Electrical Engineerings Radiation Effects and Reliability research group. In 2001, he received an R&D 100 award with colleagues from Sandia National Laboratories for invention of the ion-induced electron emission microscope. The annual award established by the editors of R&D Magazine identifies the years 100 most significant scientific advances across multiple disciplines. He is also a recipient of the Outstanding Conference Paper award at the 2007 and 2013 Nuclear and Space Radiation Effects Conferences and has received several other conference-presentation awards. Professor Weller has authored or co-authored more than 240 scientific publications and holds five U.S. patents. He is a licensed amateur radio operator (AK4RO), a member of Tau Beta Pi (1969), Sigma Xi (1978), and the Bhmische Physikalische Gesellschaft (1989), a Senior Member of IEEE, and a fellow of the American Physical Society. AddThis Sharing Buttons Share to Twitter Twitter Share to Facebook Facebook Share to LinkedIn LinkedIn Share to Reddit Reddit Share to Email Email Share to PrintFriendly PrintFriendly Share to More AddThis : diff --git a/src/data/compiled_bios/3759.txt b/src/data/compiled_bios/3759.txt new file mode 100644 index 0000000000..5120af7887 --- /dev/null +++ b/src/data/compiled_bios/3759.txt @@ -0,0 +1 @@ +Francis M. Wells 1. Name and date of birth: February 20, 1940 2. Academic Rank: Associate Professor 3. Degrees with fields, institutions and dates: Degree Field Institution Degree Date Ph.D. Elect. Engr. Vanderbilt 1970 M.S.E.E. Elect. Engr. Vanderbilt 1967 B.E.E.E. Elect. Engr. Vanderbilt 1965 4. Number of years service on this faculty: 28 5. Other related experience: Position Employer Employment Dates Visiting Associate Prof. University of Illinois 1978-79 6. Consulting: 7. State in which registered: Tennessee 8. Principal publications in the last five years: 9. Scientific and professional societies: Institute of Electrical and Electronics Engineers, Senior Member Power Engineering Society, Nashville Chapter, Past Chairman Electric Space Heating and Air Conditioning Committee, IEEE/IAS, Past Chairman Industrial Controls Committee, IEEE/IAS, Past Chairman IEEE/IAS, Past Chairman American Society of Heating, Refrigeration and Air Conditioning Engineering, Inc., Member American Association of University Professors, Member American Society for Non-Destructive Testing, Member Energy Management and Control Society, Charter Member National Fire Protection Association, Member 10. Honors and awards: Sigma XI Tau Beta Pi Eta Kappa Nu 11. Courses taught in 1994-95 academic year: Lab Lect. No. Of Day or Semester Title hrs. hrs. Sections Evening Fall 94 EE112: Elect. Eng. Science 0 3 1 Day EE264: Energy Conversion 1 3 1 Day Spring 95 EE265: Energy Conversion II 1 3 1 Day EE266: Power Electronics 1 3 1 Day 12. Other assigned duties performed during the academic year: Director of Graduate Studies Chair of the School of Engineering Curriculum Committee 13. Specific programs in which faculty member has improved teaching and professional competence: diff --git a/src/data/compiled_bios/376.txt b/src/data/compiled_bios/376.txt new file mode 100644 index 0000000000..c892235130 --- /dev/null +++ b/src/data/compiled_bios/376.txt @@ -0,0 +1 @@ +Name: Morales, Linda:: Position: Senior Lecturer:: Degrees: Ph.D., Computer Science, The University of Texas at Dallas; Masters in Computer Science, University of Texas at Dallas, Richardson, TX; Bachelor of Science in Chemistry, Bates College, Lewiston, ME; Research Interests: ; ; ; Algorithm design and analysis Sorting by special restricted operations; Combinatorial problems and other related topics; ; ; ; ; ; Refereed Conference Publications:; ; Stack and Queue Layouts for Toruses and Extended Hypercubes. S. Bettayeb, M. H. Heydari, L. Morales, I. H. Sudborough. Proceedings of the 43nd Hawaii International Conference on System Sciences, IEEE Computer Society Press, (2010).; Bounding the Size of k-Tuple Covers. W.W. Bein, S. Latifi, L. Morales, I. H. Sudborough. Proceedings of the 42nd Hawaii Intl. Conference on System Sciences, IEEE Computer Society Press, (2009).; Calibrating an Embedded Protocol on an Asynchronous System. Y. Yamauchi, D. Bein, L. Morales, T. Masuzawa, I. H. Sudborough, in Intelligent Distributed Computing, Systems and Applications, C. Badica et.al., (Eds.) (2008) p. 227-236, Springer-Verlag, Berlin/Heidelberg. (Proceedings of the 2nd Intl. Symposium on Intelligent Distributed Computing (IDC2008)).; Clustering and the Biclique Partition Problem. W.W. Bein, Z. Meng, L. Morales, C. O. Shields, I. H. Sudborough. Proceedings of the 41st Hawaii Intl. Conference on System Sciences (2008), IEEE Press.; Location Management and Cost Planning for Personal Communications, D. Bein, V. Jolly, L. Morales, Proceedings of the 4th IFAC Conference on Management and Control of Production and Logistics (2007).; Computing Cross Associations for Attack Graphs and Other Applications. M. H. Heydari, L. Morales, C. O. Shields, I. H. Sudborough. of the 40th Hawaii Intl. Conference on System Sciences (2007), IEEE Press.; A Framework for Information Security Ethics Education. M. Dark, R. Epstein, L. Morales, T. Countermine, Q. Yuan, M. Ali, M. Rose, N. Harter. of the 10th Colloq. for Inf. Systems and Security Education (2006), p. 109-115.; Efficient Algorithms for Batch Rekeying Operations in Secure Multicast. M. H. Heydari, L. Morales, I. H. Sudborough. of the 39th Hawaii Intl. Conference on System Sciences (2006), IEEE Press.; A Faster and Simpler 2-Approximation Algorithm for Block Sorting. W.W. Bein, L. Larmore, L. Morales and I.H. Sudborough. In Fundamentals of Computation Theory,LNCS 3623, (2005), p. 115-124, Springer Berlin/Heidelberg. (Proc. of the 15th Intl. Symposium on Fundamentals of Computation Theory (FCT)).; A Methodology for Developing and Disseminating Curriculum Resource Material in Information Security. M. Dark, L. Morales, and C. Justice, of the 9th Colloq. for Inf. Systems and Security Education (2004), p. 86-92.; Security Issues in the Protection of Digital Property. L. Morales, M. H. Heydari, I. H. Sudborough. Proceedings of the Association for Global Business Conference (2004).; Communication Complexity of Tree-based Multicast Rekeying. L. Morales, I. H. Sudborough, M. J. Eltoweissy, and M. H. Heydari. Fourth Intl. Network Conference, (2004), p. 121-128.; Toward Trusted Online Dissemination of Consumer Information. M. J. Eltoweissy and M. H. Heydari, L. Morales and I. H. Sudborough. of the 37th Hawaii Intl. Conference on System Sciences (2004), IEEE Press.; Combinatorial Optimization of Multicast Key Management. L. Morales, I. H. Sudborough, M. J. Eltoweissy and M. H. Heydari. of the 36th Hawaii Intl. Conference on System Sciences (2003), IEEE Press.; Comparing Star and Pancake Networks. L. Morales, I.H. Sudborough, IEEE Symposium on Parallel and Distributed Computing (1996) p. 612-615, IEEE Press.; Embedding Hypercubes into Pancake, Cycle Prefix, and Substring Reversal Networks. L. Morales (Gardner), Z. Miller, D. Pritikin, I.H. Sudborough. of the 28th Hawaii Intl. Conference on System Sciences (1995), pp. 537-545, IEEE Press.; NetSolver: A Software Tool for the Design of Survivable Networks. L. Morales (Gardner), I. H. Sudborough and I. G. Tollis. 1995 IEEE Globecom, (1995), p. 926-930 vol.2. Unabridged version entitled Design of Optimal Survivable Networks, UTD Technical Report, 1994.; Techniques for Finding Ring Covers in Survivable Networks. L. Morales (Gardner), M. H. Heydari, J. Shah, I. H. Sudborough, I. G. Tollis and C. Xia. 1994 IEEE Globecom, (1994) , pp. 1862-1866. Unabridged version entitled Advanced Network Topologies for Network Survivability, UTD Technical Report, (1993).; ; Other Publications:; ; ; ; ; ; ; ; A Pedagogical Framework for Ethical Development. M.J. Dark, R. Epstein, L. Morales, T. Countermine, Q. Yuan, M. Ali, M. Rose, N. Harter. In Encyclopedia of Information Ethics And Security, Quigley, ed. (2007), p. 507-512. Information Science Reference, IGI Global, Hershey, PA and London, UK.; Book: Information Assurance and Security Ethics in Complex Systems: Interdisciplinary Perspectives. M.J. Dark, ed., Editorial Board: L. Morales, R. Epstein, J. Ekstrom, M. Garcia, S. Liles, J. Springer, C. Goldschmidt, K. Shilton, and J. Burke. Book published by IGI Global, Hershey, PA and London, UK. To appear July 2010.; ; ; ; ; ; diff --git a/src/data/compiled_bios/3760.txt b/src/data/compiled_bios/3760.txt new file mode 100644 index 0000000000..380a4d2014 --- /dev/null +++ b/src/data/compiled_bios/3760.txt @@ -0,0 +1 @@ + Valentine Aalo Professor Department of Computer and Electrical Engineering and Computer Science 777 Glades Road, EE 415 Boca Raton, FL 33431-0991 p: 561.297.3485 aalo@fau.edu Professor Department of Computer and Electrical Engineering and Computer Science 777 Glades Road, EE 415 Boca Raton, FL 33431-0991 p: 561.297.3485 aalo@fau.edu Professor Department of Computer and Electrical Engineering and Computer Science 777 Glades Road, EE 415 Boca Raton, FL 33431-0991 p: 561.297.3485 aalo@fau.edu ProfessorDepartment of Computer and Electrical Engineering and Computer Science777 Glades Road, EE 415Boca Raton, FL 33431-0991p: 561.297.3485 aalo@fau.edu aalo@fau.edu Education Ph.D., Electrical Engineering, Southern Illinois University, Carbondale, IL, 1991 M.Sc., Electrical Engineering, Southern Illinois University, Carbondale, IL, 1986 B.Sc., Electrical Engineering, Southern Illinois University, Carbondale, IL, 1984 Ph.D., Electrical Engineering, Southern Illinois University, Carbondale, IL, 1991M.Sc., Electrical Engineering, Southern Illinois University, Carbondale, IL, 1986B.Sc., Electrical Engineering, Southern Illinois University, Carbondale, IL, 1984Research Interests Wireless Communications Statistical Decision Theory Satellite and Mobile Communication Systems Array Processing Radar Signal Processing Wireless CommunicationsStatistical Decision TheorySatellite and Mobile Communication SystemsArray ProcessingRadar Signal ProcessingRecent Publications V. Aalo, C. Mukasa, and G. Efthymoglou, Effect of mobility on the outage and BER performances of digital transmissions over Nakagami-m fading channels, IEEE Trans. Veh. Tech, vol.65, no. 4, pp. 2715-2721, April 2016. V. Aalo, K. Peppas, G. Efthymoglou, "Performance of CA-CFAR Detectors in Nonhomogeneous Positive Alpha-Stable Clutter", IEEE Transactions on Aerospace and Electronics Systems, vol.51, no. 3, pp. 2027-2038, July 2015. V. Aalo, C. Mukasa, and G. Efthymoglou, Effect of mobility on the outage and BER performances of digital transmissions over Nakagami-m fading channels, IEEE Trans. Veh. Tech, vol.65, no. 4, pp. 2715-2721, April 2016.V. AaloEffect of mobility on the outage and BER performances of digital transmissions over Nakagami-m fading channels V. Aalo, K. Peppas, G. Efthymoglou, "Performance of CA-CFAR Detectors in Nonhomogeneous Positive Alpha-Stable Clutter", IEEE Transactions on Aerospace and Electronics Systems, vol.51, no. 3, pp. 2027-2038, July 2015.V. AaloPerformance of CA-CFAR Detectors in Nonhomogeneous Positive Alpha-Stable ClutterRefereed Conference Proceedings C. Mukasa, V. Aalo and G. P. Efthymoglou, Performance Analysis of a Mobile receiver in a Field of Poisson interferers, 2017 38th IEEE Sarnoff Symposium, Newark, Sept. 2017. C. Mukasa, V. Aalo, and G. Efthymoglu, On the performance of dual-hop network with a mobile relay in a Nakagami fading environment, 21st International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD 2016), Toronto, Canada, 23-25 October, 2016. C. Mukasa, V. Aalo, and G. Efthymoglu, Exacts distributions for aggregate interference in wireless networks with a Poisson field of interferers, 2016 IEEE 12th International Conference on Wireless and Mobile Computing (WiMob 2016), Manhattan, New York, 17-19 October, 2016. K. Peppas, and G. Efthymoglou, and V. Aalo, Exact and asymptotic analysis of dual-hop AF systems in Nakagami-m fading with Rayleigh interferers, 2016 European Conference on Neyworks and Communications (EuCNC), Athens, Greece, 27-30 June, 2016. C. Mukasa, V. Aalo and G. P. Efthymoglou, Performance Analysis of a Mobile receiver in a Field of Poisson interferers, 2017 38th IEEE Sarnoff Symposium, Newark, Sept. 2017. V. AaloPerformance Analysis of a Mobile receiver in a Field of Poisson interferersC. Mukasa, V. Aalo, and G. Efthymoglu, On the performance of dual-hop network with a mobile relay in a Nakagami fading environment, 21st International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD 2016), Toronto, Canada, 23-25 October, 2016.V. AaloOn the performance of dual-hop network with a mobile relay in a Nakagami fading environmentC. Mukasa, V. Aalo, and G. Efthymoglu, Exacts distributions for aggregate interference in wireless networks with a Poisson field of interferers, 2016 IEEE 12th International Conference on Wireless and Mobile Computing (WiMob 2016), Manhattan, New York, 17-19 October, 2016.V. AaloExacts distributions for aggregate interference in wireless networks with a Poisson field of interferersK. Peppas, and G. Efthymoglou, and V. Aalo, Exact and asymptotic analysis of dual-hop AF systems in Nakagami-m fading with Rayleigh interferers, 2016 European Conference on Neyworks and Communications (EuCNC), Athens, Greece, 27-30 June, 2016.V. AaloExact and asymptotic analysis of dual-hop AF systems in Nakagami-m fading with Rayleigh interferers read more (pdf) read more (pdf) read more (pdf) FAU, College of Engineering & Computer Science, 777 Glades Road EE 308, Boca Raton, FL 33431-0991. 561.297.3400. 2018 Florida Atlantic University. An Equal Opportunity/Equal Access Institution. FAU, College of Engineering & Computer Science, 777 Glades Road EE 308, Boca Raton, FL 33431-0991. 561.297.3400. 2018 Florida Atlantic University. An Equal Opportunity/Equal Access Institution. FAU, College of Engineering & Computer Science, 777 Glades Road EE 308, Boca Raton, FL 33431-0991. 561.297.3400. 2018 Florida Atlantic University. An Equal Opportunity/Equal Access Institution.FAU, College of Engineering & Computer Science, 777 Glades Road EE 308, Boca Raton, FL 33431-0991. 561.297.3400. 2018 Florida Atlantic University. An Equal Opportunity/Equal Access Institution.// $(document).ready(function() { directedit(); }); . diff --git a/src/data/compiled_bios/3761.txt b/src/data/compiled_bios/3761.txt new file mode 100644 index 0000000000..d6f39cd697 --- /dev/null +++ b/src/data/compiled_bios/3761.txt @@ -0,0 +1 @@ + Dr. Ankur Agarwal Menu Home Funded Research Contracts and Grants Publications Research Projects Students Courses Home Dr. Ankur Agarwal Associate Professor Dept of Computer and Electrical Engineering and Computer Science 777 Glades Road, Florida Atlantic University, Boca Raton, FL 33431 (O) (561)297-3496 (M) (772)418-7912 ankur@cse.fau.edu, aagarwa2@fau.edu Education Florida Atlantic University, Boca Raton, FL, USA, Dec 2006 Ph.D. in Computer Engineering Dissertation Topic: QoS Driven Design of NoC for Embedded Systems Advisors: Dr. Ravi Shankar, Dr. Borko Furht, Dr. A. S. Pandya, Dr. Hari Kalva, Dr. V. Aalo Florida Atlantic University, Boca Raton, FL, USA, April 2003 M.S. in Computer Engineering Thesis Topic: Low Power CMOS Design of an ALU Advisors: Dr. A. S. Pandya, Dr. Sam Hsu, Dr. Imad Mahgoub D. Y. Patil College of Engineering, Pune University, India, March 2000 B.S. in Electrical Engineering Graduate Diplomas CMC Institute, New Delhi May 2004-Aug 2004 Post Graduate Diploma in Embedded System Design Sandeepani Institute of VLSI Design, Bangalore, India, May 2003 Aug 2003 Post Graduate Diploma VLSI Design Home Funded Research Contracts and Grants Publications Research Projects Students Courses Dr. Ankur Agarwal Proudly powered by WordPress diff --git a/src/data/compiled_bios/3762.txt b/src/data/compiled_bios/3762.txt new file mode 100644 index 0000000000..444503d1df --- /dev/null +++ b/src/data/compiled_bios/3762.txt @@ -0,0 +1 @@ + Bassem Alhalabi Associate Professor Department of Computer and Electrical Engineering and Computer Science 777 Glades Road, EE 512 Boca Raton, FL 33431-0991 p: 561.297.3182 alhalabi@fau.edu Education Ph.D., University of Louisiana at Lafayette Research Interests Embedded Systems Web-Based Controls and Automation Remote Labs and Distance Learning Technologies . diff --git a/src/data/compiled_bios/3763.txt b/src/data/compiled_bios/3763.txt new file mode 100644 index 0000000000..f32fe1e053 --- /dev/null +++ b/src/data/compiled_bios/3763.txt @@ -0,0 +1 @@ + Waseem Asghar Assistant Professor Department of Computer and Electrical Engineering and Computer Science 777 Glades Road, EE435 Boca Raton, FL 33431-0991 p: 561.297.3728 wasghar@fau.edu Education Ph.D., University of Texas at Arlington Research Interests Disease Diagnostics and BioMEMS In Vitro Fertilization (IVF) Cell Material Interaction Research Site Micro and Nanotechnology in Medicine . diff --git a/src/data/compiled_bios/3764.txt b/src/data/compiled_bios/3764.txt new file mode 100644 index 0000000000..3951f30cb8 --- /dev/null +++ b/src/data/compiled_bios/3764.txt @@ -0,0 +1 @@ + Reza Azarderakhsh Research Publications Presentations Teaching Outreach Services Menu Dr. Reza Azarderakhsh Assistant Professor Menu Reza Azarderakhsh Research Publications Presentations Teaching Outreach Services Reza Azarderakhsh I am an assistant professor in the Department of Computer and Electrical Engineering and Computer Science ,at Florida Atlantic University . I amalso cross-appointed with I-SENSE as a fellow researcher. Prior to joining FAU, I was with Rochester Institute of Technology as an assistant professor and founding director of applied cryptography and information security lab. Prior that, I was an NSERC postdoc research fellow at the Center for Applied Cryptographic Research , Department of Combinatorics and Optimization at the University of Waterloo . I received my PhD. in Electrical and Computer Engineering from Western University . I am affiliated as a supervisor member of CryptoWorks21 . I am also serving as an Associate Editor of IEEE Transactions on Circuits and Systems (TCAS-I) . My research has been supported by NSF, NIST, ARO, Florida Center for Cyber Security (FC2), and Texas Instruments. My primary research interests are in cryptography and security, with particular interest in cryptographic engineering, side-channel analysis, elliptic curve cryptography, finite field arithmetic, post-quantum cryptography, and hardware/software implementations. NIST Submission for Post-Quantum Cryptography is available here . Authors are:David Jao, Reza Azarderakhsh, Matthew Campagna, Craig Costello, Luca De Feo, Basil Hess, Amir Jalali, Brian Koziel, Brian LaMacchia, Patrick Longa, Michael Naehrig, Joost Renes, Vladimir Soukharev, David Urbanik. Open Positions : I usually look for talented students for PhD studies to apply. Please send an email with your CV, transcripts, and IELTS/TOEFL and GRE scores. Post-Quantum Cryptography Contact Information: Department of Electrical & Computer Engineering and Computer Science, Florida Atlantic University 777 Glades Road, Room EE 314, Boca Raton, FL 33431-0991 Phone: (561) 297-4889 Email: razarderakhsh@fau.edu Reza Azarderakhsh Assistant Professor 777 Glades Road, Room EE 314, Boca Raton, FL 33431-0991 | Phone: (561) 297-4889 | Email: razarderakhsh@fau.edu diff --git a/src/data/compiled_bios/3765.txt b/src/data/compiled_bios/3765.txt new file mode 100644 index 0000000000..4e771dee65 --- /dev/null +++ b/src/data/compiled_bios/3765.txt @@ -0,0 +1 @@ + Jonathan Bagby Associate Professor Department of Computer and Electrical Engineering and Computer Science 777 Glades Road, EE 518 Boca Raton, FL 33431-0991 p: 561.297.3462 bagby@fau.edu Education Ph.D., Michigan State University Research Interests RF Circuits and Devices Numerical Electromagnetics Electromagnetic Scattering Guided Waves . diff --git a/src/data/compiled_bios/3766.txt b/src/data/compiled_bios/3766.txt new file mode 100644 index 0000000000..42b3610211 --- /dev/null +++ b/src/data/compiled_bios/3766.txt @@ -0,0 +1 @@ + Stella Batalama Dean and Professor 777 Glades Road, EE 308D Boca Raton, FL 33431-0991 p: 561.297.3426 sbatalama@fau.edu Education Ph.D., University of Virginia Research Interests Cognitive & Cooperative Communications & Networks Underwater Signal Processing Communications and Networks Small-sample-support Adaptive Filtering and Receiver Design Covert Communications and Steganography . diff --git a/src/data/compiled_bios/3767.txt b/src/data/compiled_bios/3767.txt new file mode 100644 index 0000000000..906de71025 --- /dev/null +++ b/src/data/compiled_bios/3767.txt @@ -0,0 +1 @@ + Dr. Bou-Harb About Me Research Lab & News Publications Teaching AcademicServices Contact Information Biography Dr. Elias Bou-Harb is currently an Assistant Professor at the department of Computer Science at Florida Atlantic University (FAU) , where he directs the Cyber Threat Intelligence Lab . He is also the co-founder of FloridaSOAR , an innovative cyber security research, development and training initiative . Previously, he was a visiting research scientist at Carnegie Mellon University (CMU) under the sponsorship of Professor Bruno Sinopoli . He is also a permanent research scientist at the National Cyber Forensic and Training Alliance ( NCFTA) of Canada. The latter is an international organization which focuses on the investigation of cyber-crimes impacting citizens and businesses. Dr. Bou-Harb holds a Ph.D. degree in computer science from Concordia University in Montreal, Canada, which was executed under the supervision of Professors Mourad Debbabi and Chadi Assi . His research and development activities and interests focus on the broad area of operational cyber security , including, attacks detection and characterization , malware investigation , cyber security for critical infrastructure and big data analytics . Dr. Bou-Harb is currently recruiting motivated undergraduate and graduate students (Ph.D. and Masters) to join the Cyber Threat Intelligence (CTI) research team. If you are interested to join, please have a look at the research section for further details. Academic Positions January 2016 Present Assistant Professor Florida Atlantic University Fall 2015 Visiting Research Scientist Carnegie Mellon University 2009 Present Permanent Research Scientist NCFTA Canada Education & Training Ph.D. 2015 Computer Science Concordia University M.A.Sc. 2011 Information Systems Security Concordia University B.A.Sc. 2009 Computer Information Systems Notre Dame University Grants, Honors and Awards 2019 Sole Recipient of the Junior Faculty-wide Research Award. College of Engineering and Computer Science 2018 National Science Foundation (NSF) Advanced Cyber-Infrastructure Grant (October 1, 2018-September 30, 2021). Topic: Cyber Training for Big Data Curation 2018 NSF Research Initiation Initiative Grant (March 1, 2018-February 19, 2020). Topic: Empirical measurements for IoT Security 2018 Qatar National Research Fund (QNRF) (June 1, 2018-August 1, 2019). Topic: Cyber Security for Critical Infrastructure 2018 Florida Center For Cyber Security Research Grant (September 1, 2018-August 1, 2019). Topic: Cyber Security for Critical Infrastructure 2017 Best Paper Award at the 28th Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE PIMRC 2017) . 2015 Natural Sciences and Engineering Research Council of Canada (NSERC) Postdoctoral Fellowship (PDF): Top 1% of all Canadian Computer Science Ph.D. Students. 2015 Fonds de recherche du Qubec - Nature et technologies (FRQNT) Postdoctoral Fellowship. 2013-2015 Alexander Graham Bell Canada Graduate Scholarship (CGS) from NSERC: Top 1 distinguished Nationwide Scholarship. 2013-2015 Fonds de recherche du Qubec - Nature et technologies (FRQNT) Doctorate Scholarship: Ranked 2nd in the province of Quebec. 2014 Best Paper Award at the International Digital Forensics Research Conference (DFRWS), Denver, USA, August 2014. DFRWS is the most renowned Digital Forensics venue. 2013 Best Paper Award at the International Conference on Availability, Reliability and Security (ARES), Regensburg, Germany, September 2013. 2013 Best Paper Award at the International Symposium on Network Computing and Applications (NCA), Boston, USA, August 2013. Research Summary The explosive growth, complexity, adoption and dynamism of cyberspace over the last decade have radically altered the globe. North America have been at the very forefront of this change, fully embracing the opportunities provided by the advancements in science and technology in order to fortify the economy and to increase the productivity of our everyday life. However, the significant dependence on cyberspace has indeed brought new risks that often compromise, exploit and damage invaluable data and systems. In this context, our research and development activities aim at devising various capabilities to proactively infer malicious activities. To this end, together with my students, colleagues and collaborators, we aim at designing, implementing and evaluating next generation approaches and techniques for inferring, characterizing and attributing such activities. Interests Operational Cyber Security Cyber Forensics Critical Infrastructure Security Data Analytics Internet Measurement Graduate Students' Recruitment I am currently recruiting undergraduate and graduate students who can start in 2018. Candidates should have strong interests in one of the following research areas: computer security, networks, digital forensics, databases, reverse engineering, data analytics, mathematical modeling and stochastic analysis. To be considered, please send me an email, attaching your unofficial transcripts and a CV/resume. Selected students, regardless whether they are internationals or nationals, will receive a guaranteed funding package that includes full tuition remission and a monthly stipend, throughout their graduate enrollment. Recent News Our paper entitled " Inferring, Characterizing, and Investigating Internet-scale Malicious IoT Device Activities: A Network Telescope Perspective " (with our colleagues from NCFTA Canada ) has been accepted in the 48th IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2018). The conference will be held in Luxembourg. Our paper entitled " Data-Driven Intelligence for Characterizing Internet-scale IoT Exploitations " (with our colleagues from Masaryk University, Czech Republic ) has been accepted in the IEEE Conference on Communications and Network Security (CNS 2018). The conference will be held in Beijing, China. Our paper entitled " Internet of Malicious Things: Correlating Active and Passive Measurements For Inferring and Characterizing Internet-scale Unsolicited IoT Devices " (with our colleagues from USF ) has been accepted in IEEE Communications Magazine. Our paper entitled " Cyber Meets Control: A Novel Federated Approach for Resilient CPS Leveraging Real Cyber Threat Intelligence " (with our colleagues from CMU and USF ) has been accepted in IEEE Communications Magazine. Our paper entitled " Internet-scale Probing of CPS: Inference, Characterization and Orchestration Analysis " (with our colleagues from NYU and Georgia Institute of Technology ) has been accepted in the prestigious Network and Distributed System Security Symposium 2017 (NDSS'17) . Our paper entitled " CSC-Detector: A System to Infer Large-Scale Probing Campaigns " has been accepted in IEEE Transactions on Dependable and Secure Computing. Our paper entitled " Big Data Behavioral Analytics meet Graph Theory: On Effective Botnet Takedowns " has been accepted in IEEE Network Magazine. My paper entitled " Passive Inference of Attacks on SCADA Communication Protocols " has been accepted in IEEE ICC 2016 Communication and Information Systems Security Symposium. My paper entitled " A Probabilistic Model to Preprocess Darknet Data for Cyber Threat Intelligence Generation " has been accepted in IEEE ICC 2016 Communication and Information Systems Security Symposium. Our paper entitled " A novel cyber security capability: Inferring Internet-scale infections by correlating malware and probing activities " has been accepted in the International Journal of Computer Networks. I will be serving as a program committee member for DFRWS EU 2017. Our paper entitled " A Time Series Approach for Inferring Orchestrated Probing Campaigns by Analyzing Darknet Traffic " has been accepted in the International Conference on Availability, Reliability and Security (ARES 2015). The conference will be held in Toulouse, France. Our paper entitled " Inferring distributed reflection denial of service attacks from darknet " has been accepted in the International Journal of Computer Communications. Our paper entitled " On the inference and prediction of DDoS campaigns " has been accepted in the International Journal of Wireless Communications and Mobile Computing. Cyber Threat Intelligence Laboratory Personel Adil Atifi M.A.Sc. Student Research Topic: Network Traffic Correlation For Cyber Threat Intelligence Yongliang Huang M.A.Sc. Student Research Topic: TBD Andrea Patrice Wright Ph.D. Student (co-supervised with Dr. Nasir Ghani from USF) Research Topic: TBD Morteza Pour Ph.D. Student Research Topic: Empirical and Theoratic Analysis of Passive Measurements Farooq Shaikh Ph.D. Student (co-supervised with Dr. Nasir Ghani from USF) Research Topic: Internet Measurements for IoT Security Nataliia Neshenko M.A.Sc. Student Research Topic: Internet Measurements for IoT Security Great lab Personel! I am lucky to have the opportunity to work with a number of excellent graduate students on various highly impactful research topics. Selected Publications Full List: ResearchGate Filter by type: All types All types Journal Papers Conference Papers Sort by year: A Time Series Approach for Inferring Orchestrated Probing Campaigns by Analyzing Darknet Traffic Elias Bou-Harb , Claude Fachkha, Mourad Debbabi, Chadi Assi Conference Paper 2015 10th International Conference on Availability, Reliability and Security (ARES) Abstract This paper aims at inferring probing campaigns by investigating dark net traffic. The latter probing events refer to a new phenomenon of reconnaissance activities that are distinguished by their orchestration patterns. The objective is to provide a systematic methodology to infer, in a prompt manner, whether or not the perceived probing packets belong to an orchestrated campaign. Additionally, the methodology could be easily leveraged to generate network traffic signatures to facilitate capturing incoming packets as belonging to the same inferred campaign. Indeed, this would be utilized for early cyber attack warning and notification as well as for simplified analysis and tracking of such events. To realize such goals, the proposed approach models such challenging task as a problem of interpolating and predicting time series with missing values. By initially employing trigonometric interpolation and subsequently executing state space modeling in conjunction with a time-varying window algorithm, the proposed approach is able to pinpoint orchestrated probing campaigns by only monitoring few orchestrated flows. We empirically evaluate the effectiveness of the proposed model using 330 GB of real dark net data. By comparing the outcome with a previously validated work, the results indeed demonstrate the promptness and accuracy of the proposed approach. Inferring Internet-scale infections by correlating malware and probing activities Elias Bou-Harb , Claude Fachkha, Mourad Debbabi, Chadi Assi Conference Paper 2014 IEEE International Conference on Communications (ICC) Abstract This paper presents a new approach to infer malware-infected machines by solely analyzing their generated probing activities. In contrary to other adopted methods, the proposed approach does not rely on symptoms of infection to detect compromised machines. This allows the inference of malware infection at very early stages of contamination. The approach aims at detecting whether the machines are infected or not as well as pinpointing the exact malware type/family, if the machines were found to be compromised. The latter insights allow network security operators of diverse organizations, Internet service providers and backbone networks to promptly detect their clients' compromised machines in addition to effectively providing them with tailored anti-malware/patch solutions. To achieve the intended goals, the proposed approach exploits the darknet Internet space and employs statistical methods to infer large-scale probing activities. Subsequently, such activities are correlated with malware samples by leveraging fuzzy hashing and entropy based techniques. The proposed approach is empirically evaluated using 60 GB of real darknet traffic and 65 thousand real malware samples. The results concur that the rationale of exploiting probing activities for worldwide early malware infection detection is indeed very promising. Further, the results demonstrate that the extracted inferences exhibit noteworthy accuracy and can generate significant cyber security insights that could be used for effective mitigation. Behavioral analytics for inferring large-scale orchestrated probing events Elias Bou-Harb , Mourad Debbabi, Chadi Assi Conference Paper 2014 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) Abstract The significant dependence on cyberspace has indeed brought new risks that often compromise, exploit and damage invaluable data and systems. Thus, the capability to proactively infer malicious activities is of paramount importance. In this context, inferring probing events, which are commonly the first stage of any cyber attack, render a promising tactic to achieve that task. We have been receiving for the past three years 12 GB of daily malicious real darknet data (i.e., Internet traffic destined to half a million routable yet unallocated IP addresses) from more than 12 countries. This paper exploits such data to propose a novel approach that aims at capturing the behavior of the probing sources in an attempt to infer their orchestration (i.e., coordination) pattern. The latter defines a recently discovered characteristic of a new phenomenon of probing events that could be ominously leveraged to cause drastic Internet-wide and enterprise impacts as precursors of various cyber attacks. To accomplish its goals, the proposed approach leverages various signal and statistical techniques, information theoretical metrics, fuzzy approaches with real malware traffic and data mining methods. The approach is validated through one use case that arguably proves that a previously analyzed orchestrated probing event from last year is indeed still active, yet operating in a stealthy, very low rate mode. We envision that the proposed approach that is tailored towards darknet data, which is frequently, abundantly and effectively used to generate cyber threat intelligence, could be used by network security analysts, emergency response teams and/or observers of cyber events to infer large-scale orchestrated probing events for early cyber attack warning and notification. Fingerprinting Internet DNS Amplification DDoS Activities Claude Fachkha, Elias Bou-Harb , Mourad Debbabi Conference Paper 2014 6th International Conference on New Technologies, Mobility and Security (NTMS) Abstract This work proposes a novel approach to infer and characterize Internet-scale DNS amplification DDoS attacks by leveraging the darknet space. Complementary to the pioneer work on inferring Distributed Denial of Service (DDoS) using darknet, this work shows that we can extract DDoS activities without relying on backscattered analysis. The aim of this work is to extract cyber security intelligence related to DNS Amplification DDoS activities such as detection period, attack duration, intensity, packet size, rate and geo- location in addition to various network-layer and flow-based insights. To achieve this task, the proposed approach exploits certain DDoS parameters to detect the attacks. We empirically evaluate the proposed approach using 720 GB of real darknet data collected from a /13 address space during a recent three months period. Our analysis reveals that the approach was successful in inferring significant DNS amplification DDoS activities including the recent prominent attack that targeted one of the largest anti-spam organizations. Moreover, the analysis disclosed the mechanism of such DNS amplification DDoS attacks. Further, the results uncover high-speed and stealthy attempts that were never previously documented. The case study of the largest DDoS attack in history lead to a better understanding of the nature and scale of this threat and can generate inferences that could contribute in detecting, preventing, assessing, mitigating and even attributing of DNS amplification DDoS activities. Towards a forecasting model for distributed denial of service activities Claude Fachkha, Elias Bou-Harb , Mourad Debbabi Conference Paper 2013 12th IEEE International Symposium on Network Computing and Applications (NCA). (Best Paper Award) Abstract Distributed Denial of Service (DDoS) activities continue to dominate today's attack landscape. This work proposes a DDoS forecasting model to provide significant insights to organizations, security operators and emergency response teams during and after a targeted DDoS attack. Specifically, the work strives to predict, within minutes, the attacks' impact features, namely, intensity/rate (packets/sec) and size (estimated number of used compromised machines/bots). The goal is to understand the future short term trend of the ongoing DDoS attack in terms of those features and thus provide the capability to recognize the current as well as future similar situations and hence appropriately respond to the threat. Our analysis employs real dark net data to explore the feasibility of applying the forecasting model on targeted DDoS attacks and subsequently evaluate the accuracy of the predictions. To achieve its tasks, our proposed approach leverages a number of time series fluctuation analysis and forecasting methods. The extracted inferences from various DDoS case studies exhibit promising accuracy reaching at some points less than 1% error rate. Further, our model could lead to better understanding of the scale and speed of DDoS attacks and should generate inferences that could be adopted for immediate response and hence mitigation as well as accumulated for the purpose of long term large-scale DDoS analysis. A Statistical Approach for Fingerprinting Probing Activities Elias Bou-Harb , Mourad Debbabi, Chadi Assi Conference Paper 2013 Eighth International Conference on Availability, Reliability and Security (ARES). (Best Paper Award) Abstract Probing is often the primary stage of an intrusion attempt that enables an attacker to remotely locate, target, and subsequently exploit vulnerable systems. This paper attempts to investigate whether the perceived traffic refers to probing activities and which exact scanning technique is being employed to perform the probing. Further, this work strives to examine probing traffic dimensions to infer the `machinery' of the scan, whether the probing activity is generated from a software tool or from a worm/bot net and whether the probing is random or follows a certain predefined pattern. Motivated by recent cyber attacks that were facilitated through probing, limited cyber security intelligence related to the mentioned inferences and the lack of accuracy that is provided by scanning detection systems, this paper presents a new approach to fingerprint probing activity. The approach leverages a number of statistical techniques, probabilistic distribution methods and observations in an attempt to understand and analyze probing activities. To prevent evasion, the approach formulates this matter as a change point detection problem that yielded motivating results. Evaluations performed using 55 GB of real dark net traffic shows that the extracted inferences exhibit promising accuracy and can generate significant insights that could be used for mitigation purposes. Investigating the dark cyberspace: Profiling, threat-based analysis and correlation Claude Fachkha, Elias Bou-Harb , Amine Boukhtouta, Son Dinh, Farkhund Iqbal, Mourad Debbabi Conference Paper 2012 7th International Conference on Risk and Security of Internet and Systems (CRiSIS) Abstract An effective approach to gather cyber threat intelligence is to collect and analyze traffic destined to unused Internet addresses known as darknets. In this paper, we elaborate on such capability by profiling darknet data. Such information could generate indicators of cyber threat activity as well as providing in-depth understanding of the nature of its traffic. Particularly, we analyze darknet packets distribution, its used transport, network and application layer protocols and pinpoint its resolved domain names. Furthermore, we identify its IP classes and destination ports as well as geo-locate its source countries. We further investigate darknet-triggered threats. The aim is to explore darknet embedded threats and categorize their severities. Finally, we contribute by exploring the inter-correlation of such threats, by applying association rule mining techniques, to build threat association rules. Specifically, we generate clusters of threats that co-occur targeting a specific victim. Such work proves that specific darknet threats are correlated. Moreover, it provides insights about threat patterns and allows the interpretation of threat scenarios. A first look on the effects and mitigation of VoIP SPIT flooding in 4G mobile networks Elias Bou-Harb , Mourad Debbabi, Chadi Assi Conference Paper 2012 IEEE International Conference on Communications (ICC) Abstract The fourth generation of mobile networks is considered a technology-opportunistic and user-centric system. Part of its new architecture, 4G networks will implement an evolved packet core. Although this will provide various critical advantages, it will however expose telecom networks to serious IP-based attacks. One often adopted solution to mitigate such attacks is based on a centralized security architecture. This centralized approach nonetheless, requires large processing resources to handle large amount of traffic, which may result in a significant over dimensioning problem in the centralized nodes causing this approach to fail from achieving its security task. In this paper, we primarily contribute by presenting a first look on the DoS effects of VoIP SPIT flooding on 4G mobile networks. We further contribute by proposing a distributed architecture on the mobile network infrastructure that is secure, efficient and cost-effective. On detecting and clustering distributed cyber scanning Elias Bou-Harb , Mourad Debbabi, Chadi Assi Conference Paper 2013 9th International Wireless Communications and Mobile Computing Conference (IWCMC) Abstract This paper proposes an approach that is composed of two techniques that respectively tackle the issues of detecting corporate cyber scanning and clustering distributed reconnaissance activity. The first employed technique is based on a non-attribution anomaly detection approach that focuses on what is being scanned rather than who is performing the scanning. The second technique adopts a statistical time series approach that is rendered by observing the correlation status of a traffic signal to perform the identification and clustering. To empirically validate both techniques, we experiment with two real network traffic datasets and implement two proof-of-concept environments. The first dataset comprises of unsolicited one-way telescope/darknet traffic while the second dataset has been captured in our lab through a customized setup. The results show, on one hand, that for a class C network with 250 active hosts and 5 monitored servers, the proposed detection technique's training period required a stabilization time of less than 1 second and a state memory of 80 bytes. Moreover, in comparison with Snort's sfPortscan technique, it was able to detect 4215 unique scans and yielded zero false negative. On the other hand, the proposed clustering technique is able to correctly identify and cluster the scanning machines with high accuracy even in the presence of legitimate traffic. CSC-Detector: A System to Infer Large-Scale Probing Campaigns Elias Bou-Harb , Chadi Assi, Mourad Debbabi Journal Paper 2016 IEEE Transactions on Dependable and Secure Computing Abstract This paper uniquely leverages unsolicited real darknet data to propose a novel system, CSC-Detector, that aims at identifying Cyber Scanning Campaigns. The latter define a new phenomenon of probing events that are distinguished by their orchestration (i.e., coordination) patterns. To achieve its aim, CSC-Detector adopts three engines. Its fingerprinting engine exploits a unique observation to extract probing activities from darknet traffic. The systems inference engine employs a set of behavioral analytics to generate numerous significant insights related to the machinery of the probing sources while its analysis engine exploits the previously obtained inferences to automatically infer the campaigns. CSC-Detector is empirically evaluated and validated using 240 GB of real darknet data. The outcome discloses 3 recent, previously unreported large-scale probing campaigns targeting diverse Internet services. Further, one of those inferred campaigns revealed that the sipscan campaign that was initially analyzed by CAIDA is arguably still active, yet operating in a stealthy, very low rate mode. We envision that the proposed system that is tailored towards darknet data, which is frequently, abundantly and effectively used to generate cyber threat intelligence, could be used by network security analysts, emergency response teams and/or observers of cyber events to infer large-scale orchestrated probing campaigns. This would be utilized for early cyber attack warning and notification as well as for simplified analysis and tracking of such events. A novel cyber security capability: Inferring Internet-scale infections by correlating malware and probing activities Elias Bou-Harb , Chadi Assi, Mourad Debbabi Journal Paper 2016 Elsevier Journal of Computer Networks Abstract This paper presents a new approach to infer worldwide malware-infected machines by solely analyzing their generated probing activities. In contrary to other adopted methods, the proposed approach does not rely on symptoms of infection to detect compromised machines. This allows the inference of malware infection at very early stages of contamination. The approach aims at detecting whether the machines are infected or not as well as pinpointing the exact malware type/family. The latter insights allow network security operators of diverse organizations, Internet service providers and backbone networks to promptly detect their clients compromised machines in addition to effectively providing them with tailored anti-malware/patch solutions. To achieve the intended goals, the proposed approach exploits the darknet Internet space and initially filters out misconfiguration traffic targeting such space using a probabilistic model. Subsequently, the approach employs statistical methods to infer large-scale probing activities as perceived by the dark space. Consequently, such activities are correlated with malware samples by leveraging fuzzy hashing and entropy based techniques. The proposed approach is empirically evaluated using a recent 60 GB of real darknet traffic and 65 thousand real malware samples. The results concur that the rationale of exploiting probing activities for worldwide early malware infection detection is indeed very promising. Further, the results, which were validated using publically available data resources, demonstrate that the extracted inferences exhibit noteworthy accuracy and can generate significant cyber security insights that could be used for effective mitigation. Inferring distributed reflection denial of service attacks from darknet Claude Fachkha, Elias Bou-Harb , Mourad Debbabi Journal Paper 2015 Elsevier Journal of Computer Communications Abstract This work proposes a novel approach to infer and characterize Internet-scale DNS Distributed Reflection Denial of Service (DRDoS) attacks by leveraging the darknet space. Complementary to the pioneer work on inferring Distributed Denial of Service (DDoS) activities using darknet, this work shows that we can extract DDoS activities without relying on backscattered analysis. The aim of this work is to extract cyber security intelligence related to DRDoS activities such as intensity, rate and geo-location in addition to various network-layer and flow-based insights. To achieve this task, the proposed approach exploits certain DDoS parameters to detect the attacks and the expectation maximization and k-means clustering techniques in an attempt to identify campaigns of DRDoS Attacks. We empirically evaluate the proposed approach using 1.44 TB of real darknet data collected from a/13 address space during a recent several months period. Our analysis reveals that the approach was successful in inferring significant DNS amplification DRDoS activities including the recent prominent attack that targeted one of the largest anti-spam organizations. Moreover, the analysis disclosed the mechanism of such DNS amplification attacks. Further, the results uncover high-speed and stealthy attempts that were never previously documented. The extracted insights from various validated DNS DRDoS case studies lead to a better understanding of the nature and scale of this threat and can generate inferences that could contribute in detecting, preventing, assessing, mitigating and even attributing of DRDoS activities. On the inference and prediction of DDoS campaigns Claude Fachkha, Elias Bou-Harb , Mourad Debbabi Journal Paper 2015 Wiley Journal of Wireless Communications and Mobile Computing Abstract This work proposes a distributed denial-of-service (DDoS) inference and forecasting model that aims at providing insights to organizations, security operators, and emergency response teams during and after a DDoS attack. Specifically, our work strives to predict, within minutes, the attacks' features, namely intensity/rate (packets/second) and size (estimated number of used compromised machines/bots). The goal is to understand the future short-term trend of the ongoing DDoS attack in terms of those features and thus provide the capability to recognize the current as well as future similar situations and hence appropriately respond to the threat. Further, our work aims at investigating DDoS campaigns by proposing a clustering approach to infer various victims targeted by the same campaign and predicting related features. Our analysis employs real darknet data to explore the feasibility of applying the inference and forecasting models on DDoS attacks and evaluate the accuracy of the predictions. To achieve our goal, our proposed approach leverages a number of time series and fluctuation analysis techniques, statistical methods, and forecasting approaches. The extracted inferences from various DDoS case studies exhibit a promising accuracy reaching at some points less than 1% error rate. Further, our approach could lead to a better understanding of the scale, speed, and size of DDoS attacks and generates inferences that could be adopted for immediate response and mitigation. Moreover, the accumulated insights could be used for the purpose of long-term large-scale DDoS analysis. On fingerprinting probing activities Elias Bou-Harb , Mourad Debbabi, Chadi Assi Journal Paper 2014 Elsevier Journal of Computers & Security Abstract Motivated by recent cyber attacks that were facilitated through probing, limited cyber security intelligence and the lack of accuracy that is provided by scanning detection systems, this paper presents a new approach to fingerprint probing activity. It investigates whether the perceived traffic refers to probing activities and which exact scanning technique is being employed to perform the probing. Further, this work strives to examine probing traffic dimensions to infer the machinery of the scan; whether the probing is random or follows a certain predefined pattern; which probing strategy is being employed; and whether the probing activity is generated from a software tool or from a worm/bot. The approach leverages a number of statistical techniques, probabilistic distribution methods and observations in an attempt to understand and analyze probing activities. To prevent evasion, the approach formulates this matter as a change point detection problem that yielded motivating results. Evaluations performed using 55 GB of real darknet traffic shows that the extracted inferences exhibit promising accuracy and can generate significant insights that could be used for mitigation purposes. Cyber Scanning: A Comprehensive Survey Elias Bou-Harb , Mourad Debbabi, Chadi Assi Journal Paper 2014 IEEE Journal of Communications Surveys & Tutorials Abstract Cyber scanning refers to the task of probing enterprise networks or Internet wide services, searching for vulnerabilities or ways to infiltrate IT assets. This misdemeanor is often the primarily methodology that is adopted by attackers prior to launching a targeted cyber attack. Hence, it is of paramount importance to research and adopt methods for the detection and attribution of cyber scanning. Nevertheless, with the surge of complex offered services from one side and the proliferation of hackers' refined, advanced, and sophisticated techniques from the other side, the task of containing cyber scanning poses serious issues and challenges. Furthermore recently, there has been a flourishing of a cyber phenomenon dubbed as cyber scanning campaigns - scanning techniques that are highly distributed, possess composite stealth capabilities and high coordination - rendering almost all current detection techniques unfeasible. This paper presents a comprehensive survey of the entire cyber scanning topic. It categorizes cyber scanning by elaborating on its nature, strategies and approaches. It also provides the reader with a classification and an exhaustive review of its techniques. Moreover, it offers a taxonomy of the current literature by focusing on distributed cyber scanning detection methods. To tackle cyber scanning campaigns, this paper uniquely reports on the analysis of two recent cyber scanning incidents. Finally, several concluding remarks are discussed. Multidimensional investigation of source port 0 probing Elias Bou-Harb , Nour-Eddine Lakhdari, Hamad Binsalleeh, Mourad Debbabi Journal Paper 2014 Elsevier Journal of Digital Investigation Abstract During November 2013, the operational cyber/network security community reported an unprecedented increase of traffic originating from source port 0. This event was deemed as malicious although its core aim and mechanism were obscured. This paper investigates that event using a multifaceted approach that leverages three real network security feeds that we receive on a daily basis, namely, darknet, passive DNS and malware data. The goal is to analyze such event from the perspectives of those feeds in order to generate significant insights and inferences that could contribute to disclosing the inner details of that incident. The approach extracts and subsequently fingerprints such malicious traffic from the received darknet data. By executing unsupervised machine learning techniques on the extracted traffic, we disclose clusters of activities that share similar machinery. Further, by employing a set of statistical-based behavioral analytics, we capture the mechanisms of those clusters, including their strategies, techniques and nature. We consequently correlate the sources with passive DNS in order to investigate their maliciousness. Moreover, to examine if the sources are malware contaminated, we execute a correlation mechanism between the darknet data and the malware feeds. The outcome reveals that such traffic indeed is reconnaissance/probing activities originating from three different horizontal scans utilizing packets with a TCP header length of 0 or packets with odd flag combinations. The results as well demonstrate that 28% of the scanning sources host malicious/blacklisted domains as they are often used for spamming, phishing and other fraud activities. Additionally, the outcome portrays that the bot probing sources are infected by Virus.Win32.Sality. By correlating various evidence, we confirm that such malware specimen is in fact responsible for part of the source port 0 probing event. We concur that this work is a first attempt ever to comprehend the machinery of such unique event and we hope that the community could consider it as a building block for auxiliary analysis and investigation. Communication security for smart grid distribution networks Elias Bou-Harb , Claude Fachkha, Makan Pourzandi, Mourad Debbabi, Chadi Assi Journal Paper 2013 IEEE Journal of Communications Magazine Abstract The operation and control of the next generation electrical grids will depend on a complex network of computers, software, and communication technologies. Being compromised by a malicious adversary would cause significant damage, including extended power outages and destruction of electrical equipment. Moreover, the implementation of the smart grid will include the deployment of many new enabling technologies such as advanced sensors and metering, and the integration of distributed generation resources. Such technologies and various others will require the addition and utilization of multiple communication mechanisms and infrastructures that may suffer from serious cyber vulnerabilities. These need to be addressed in order to increase the security and thus the greatest adoption and success of the smart grid. In this article, we focus on the communication security aspect, which deals with the distribution component of the smart grid. Consequently, we target the network security of the advanced metering infrastructure coupled with the data communication toward the transmission infrastructure. We discuss the security and feasibility aspects of possible communication mechanisms that could be adopted on that subpart of the grid. By accomplishing this, the correlated vulnerabilities in these systems could be remediated, and associated risks may be mitigated for the purpose of enhancing the cyber security of the future electric grid. A systematic approach for detecting and clustering distributed cyber scanning Elias Bou-Harb , Mourad Debbabi, Chadi Assi Journal Paper 2013 Elsevier Journal of Computer Networks Abstract We present in this paper an approach that is composed of two techniques that respectively tackle the issues of detecting corporate cyber scanning and clustering distributed reconnaissance activity. The first employed technique is based on a non-attribution anomaly detection approach that focuses on what is being scanned rather than who is performing the scanning. The second technique adopts a statistical time series approach that is rendered by observing the correlation status of a traffic signal to perform the identification and clustering. To empirically validate both techniques, we utilize and examine two real network traffic datasets and implement two experimental environments. The first dataset comprises of unsolicited one-way telescope/darknet traffic while the second dataset has been captured in our lab through a customized setup. The results show, on one hand, that for a class C network with 250 active hosts and 5 monitored servers, the training period of the proposed detection technique required a stabilization time of less than 1 s and a state memory of 80 bytes. Moreover, in comparison with Snorts sfPortscan technique, it was able to detect 4215 unique scans and yielded zero false negative. On the other hand, the proposed clustering technique is able to correctly identify and cluster the scanning machines with high accuracy even in the presence of legitimate traffic. We further validate this clustering technique by formulating the presented scenario as a machine learning problem. Specifically, we compare our proposed technique with an unsupervised data clustering technique that adopts the k-means and the expectation maximization approach. The results authenticate our clustering technique rendering it feasible for adoption. A secure, efficient, and cost-effective distributed architecture for spam mitigation on LTE 4G mobile networks Elias Bou-Harb , Makan Pourzandi, Mourad Debbabi, Chadi Assi Journal Paper 2013 Wiley Journal of Security and Communication Networks Abstract The 4G of mobile networks will be a technology-opportunistic and user-centric system, combining the economical and technological advantages of various transmission technologies. As a part of its new architecture, LTE networks will implement an evolved packet core. Although this will provide various critical advantages, it will, on the other hand, expose telecom networks to serious IP-based attacks. One often adopted solution to mitigate such attacks is based on a centralized security architecture. However, this approach requires large processing and memory resources to handle huge amounts of traffic, which, in turn, causes a significant over dimensioning problem in the centralized nodes. Hence, it may cause this approach to fail from achieving its security task. In this paper, we focus on a SPAM flooding attack, namely SMTP SPAM, and demonstrate, through simulations and discussion, its DoS impact on the Long Term Evolution (LTE) network and subsequent effects on the mobile network operator. Our main contribution involves proposing a distributed architecture on the LTE network that is secure and that mitigates attacks efficiently by solving the over dimensioning problem. It is also cost-effective by utilizing off-the-shelf low-cost hardware in the distributed nodes. Through additional simulation and analysis, we demonstrate the feasibility and effectiveness of our approach. Teaching Current Teaching January 2016 Present COT 6930 Cyber Security: Measurement and Data Analysis This new graduate course introduces data science to the field of cyber security. Digital investigation approaches for cyber security will be discussed. Further, data analytics and traffic analysis methodologies will be presented. Data acquisition and sound analysis methods will also be elaborated. Approaches for inferring and attributing various types of cyber attacks will be presented. Teaching History 2011 2014 INSE 6120 Cryptographic Protocols and Network Security Lab The course introduces concepts, methodologies, techniques, tools and research problems in network security. Methods used in the design and analysis of security protocols, as well as an introduction to the most prominent cryptographic protocols will be presented. We will address the issue of network security policies, authentication and authorization services. In addition, we will address issues such as botnets, darknets and network security monitoring. 2011 2014 INSE 6140 Middleware and Application Security Lab This course aims to give students a good grasp of research problems, concepts, methodologies, techniques and tools that are used in application and middleware security. Application and middleware security are two large area of research that contains different contributions. This means that we shall address some of the topics that we feel interesting and could guide the students in their research. Moreover, this course guides students to new research ideas especially when Game Theory and Mechanism design are given. In addition, the course objective is to make students familiar with the security flaws that middleware and different applications could face. Different solutions will be given to inform students about: How to model applications and link them with each other taking into consideration security. Linking applications to each other is the simple definition of middleware that we shall address it from security standpoint. 2012 2014 INSE 7120 Advanced Network Management Guest Lectures Appreciate the need for interoperable network management; Understand general concepts and architecture behind standards based network management; Understand concepts and terminology associated with SNMP and TMN; Appreciate network management as a typical distributed application; Get a feeling of current trends in network management technologies; Understand Advanced Information Processing Techniques such as Distributed Object Technologies, Software Agents and Internet Technologies used for network management 2009 2013 Comp 248 Object-Oriented Programming Lab The primary objective of this course is to enable you to understand the basic principles of programming. The language used for the course is Java, chosen because it supports object oriented programming and because it is becoming widely used in industry. The course will include discussions and explanations of the following topics: introduction to programming; writing, compiling, and running simple programs; expressions, variables, and assignments; control structures; objects and classes, methods, and arrays. 2012 2012 COMP 6471 Software Design Methodologies Lab The principal objectives of the course are to clarify the basic concepts of design; to explain how those concepts are applied to software; and to describe design techniques that have been successfully applied. We focus on object-oriented design using UML models, architectural styles and patterns, and design patterns. We touch on software reuse, software frameworks, generic programming, design rationale, issue-driven design, and other topics. Program Committee Member Digital Forensics Research Workshop Conference (Europe) (DFRWS EU 2018) IEEE Globecom Workshop on Cyber-Physical Smart Grid Security and Resilience 2016 Workshop on Bio-inspired Security, Trust, Assurance and Resilience (BioSTAR 2016), an IEEE Symposium on Security and Privacy Workshop IEEE Wireless Communications and Networking Conference (IEEE WCNC 2016) IEEE International Workshop on Cyber Crime (IWCC 2016) IEEE International Workshop on Cloud Security and Forensics (WCSF 2015) IEEE International Workshop on Bio-inspired Cyber Security & Networking (BCSN 2015) Conference Chair Workshop Chair: Data Analytics for Cyber Security; IWCMC 2018 Publicity Chair: 2017 6th IEEE International Conference on Cloud Networking (IEEE CloudNet 2017) Session Chair: Botnet Detection, Prevention, and Defense session at ICC 2014 Session Chair: Infrastructure Security session at ICC 2012 Reviewer IEEE Journal of Communications Surveys & Tutorials IEEE Transactions on Dependable and Secure Computing IEEE Journal of Communications Letters IEEE Transactions on Emerging Topics in Computing IEEE Transactions on Networking IEEE Communications Magazine Elsevier Journal of Computer Networks Elsevier Journal of Computers & Security Elsevier Journal of Digital Investigation Wiley Journal of Security & Communication Networks IEEE GlobeCom IEEE ICC Contact Info office: +1 561 297 4840 ebouharb@fau.edu eliasbouharb[at]gmail[dot]com mreliasbouharb https://www.linkedin.com/in/eliasbh 777 Glades Road, Engineering East (EE) 503B, Boca Raton, FL 33431-0991 diff --git a/src/data/compiled_bios/3768.txt b/src/data/compiled_bios/3768.txt new file mode 100644 index 0000000000..5575ebf7b9 --- /dev/null +++ b/src/data/compiled_bios/3768.txt @@ -0,0 +1 @@ + Lofton Bullard University Instructor Department of Computer and Electrical Engineering and Computer Science 777 Glades Road, EE 429 Boca Raton, FL 33431-0991 p: 561.297.3985 lbullard@fau.edu Education Ph.D., Florida Atlantic University M.S.C.E., Florida Atlantic University M.Ed., University of Miami B.S.C.S., Florida International University Florida Professional Educator's Certification Research Interests Software Complexity Modeling Software Reliability and Performance Modeling Data Mining and Machine Learning Visualization . diff --git a/src/data/compiled_bios/3769.txt b/src/data/compiled_bios/3769.txt new file mode 100644 index 0000000000..6e8b6d936e --- /dev/null +++ b/src/data/compiled_bios/3769.txt @@ -0,0 +1 @@ + Ionut Cardei Professor Department of Computer and Electrical Engineering and Computer Science 777 Glades Road, EE 419 Boca Raton, FL 33431-0991 p: 561.297.3401 icardei@fau.edu Education Ph.D., University of Minnesota Research Interests Component-Based Software Design Automation Wireless Networking and Resource-Efficient Protocols for Constrained Networks Routing in Intermittent Wireless Ad hoc Networks . diff --git a/src/data/compiled_bios/377.txt b/src/data/compiled_bios/377.txt new file mode 100644 index 0000000000..9b0056119d --- /dev/null +++ b/src/data/compiled_bios/377.txt @@ -0,0 +1 @@ +Name: Nagar, Anurag:: Position: Senior Lecturer:: Degrees: Ph.D., Computer Science, Southern Methodist University; Research Interests: Machine Learning; Bioinformatics; Financial Data Mining; Major Honors and Awards: SAS Faculty Award, 2016; Research Day Award, SMU, 2013; RepresentativePublications: A Nagar, Developing Big Data Curriculum with Open Source Infrastructure, In Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science.; A Nagar, Enhancing Teaching of Big Data by Using Real World Datasets, In Proceedings of the 47th ACM Technical Symposium on Computing Science; Nagar, A., and Hahsler, M., Fast discovery and visualization of conserved regions in DNA sequences using quasi-alignment. BMC bioinformatics14.11 (2013): S2.; Nagar, A., and Hahsler, M. Genomic sequence fragment identification using quasi-alignment. In Proceedings of the International Conference on Bioinformatics, Computational Biology and Biomedical Informatics, p. 359. ACM, 2013.; Nagar, A., Al-Mubaid, H, A new path length measure based on go for gene similarity with evaluation using SGD pathways, 21st IEEE International Symposium on Conference Computer-Based Medical Systems, 2008.; Notable Services: Session Chair, Special Session on Gene Ontology and Applications at the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), 2015.; Program Committee SIGCSE 2016, 2017; Reviewer for BICoB 2015, CIBCB 2015; diff --git a/src/data/compiled_bios/3770.txt b/src/data/compiled_bios/3770.txt new file mode 100644 index 0000000000..ec32628176 --- /dev/null +++ b/src/data/compiled_bios/3770.txt @@ -0,0 +1 @@ + Mihaela Cardei Assoc. Dean for Graduate Studies and Professor Department of Computer and Electrical Engineering and Computer Science 777 Glades Road, EE 308N Boca Raton, FL 33431-0991 p: 561.297.3459 mcardei@fau.edu Education Ph.D., University of Minnesota Research Interests Wireless Networking Wireless Sensor Networks Network Protocols and Algorithm Design Combinatorial Optimization in Wireless Networks . diff --git a/src/data/compiled_bios/3771.txt b/src/data/compiled_bios/3771.txt new file mode 100644 index 0000000000..343cd406e0 --- /dev/null +++ b/src/data/compiled_bios/3771.txt @@ -0,0 +1 @@ + Robert B. Cooper Professor Department of Computer and Electrical Engineering and Computer Science 777 Glades Road, EE 427 Boca Raton, FL 33431-0991 p: 561.297.3673 cooperr@fau.edu Education Ph.D., Electrical Engineering, University of Pennsylvania, 1968 M.S., Systems Engineering and Operations Research, University of Pennsylvania, 1962 B.S., Science, Stevens Institute of Technology, 1961 Research Interests Queueing Theory Performance Analysis of Computer and Telecommunication Systems Personal Site Dr. Robert B. Cooper Teaching Graduate Course: MAP 6264 Queueing Theory Undergraduate Course: STA 4821 Stochastic Models for Computer Science . diff --git a/src/data/compiled_bios/3772.txt b/src/data/compiled_bios/3772.txt new file mode 100644 index 0000000000..b633055e51 --- /dev/null +++ b/src/data/compiled_bios/3772.txt @@ -0,0 +1 @@ + Dolores De Groff Associate Professor Department of Computer and Electrical Engineering and Computer Science 777 Glades Road, EE 443 Boca Raton, FL 33431-0991 p: 561.297.1261 degroff@fau.edu Education Ph.D., Florida Atlantic University Research Interests Neural Networks Alternative Energy Information Theory Power Systems Control Radar Systems . diff --git a/src/data/compiled_bios/3773.txt b/src/data/compiled_bios/3773.txt new file mode 100644 index 0000000000..8c83b12c30 --- /dev/null +++ b/src/data/compiled_bios/3773.txt @@ -0,0 +1 @@ + Nurgun Erdol Department Chair and Professor Department of Computer and Electrical Engineering and Computer Science 777 Glades Road, EE 403A Boca Raton, FL 33431-0991 p: 561.297.3409 erdol@fau.edu Education Ph.D., University of Akron Research Interests Digital Signal Processing Speech Processing Communications Wavelets Dr. Erdol's Personal Homepage . diff --git a/src/data/compiled_bios/3774.txt b/src/data/compiled_bios/3774.txt new file mode 100644 index 0000000000..67d7ebc50a --- /dev/null +++ b/src/data/compiled_bios/3774.txt @@ -0,0 +1 @@ + FAU College of Engineering and Computer Science Dr. Eduardo B. Fernandez Main Current Courses Program Committees Security Systems Research Group Contact About Vita Education & Positions Awards Research Contributions Teaching Active Courses Inactive Courses Theses & Dissertations Publications Recent Books Book Chapters Journals Conferences Reports Research Projects Collaborators Interests Blog About Professor of Computer Science & Engineering Florida Atlantic University Sr. Member of IEEE Member of ACM Since 1984 I have been a Professor of Computer Science and Engineering at FAU. Before that, I worked at the University of Chile, IBM Corp., and the University of Miami. I have also consulted for a variety of companies. I have written several books and book chapters, over 40 journal papers, and more than200 conference papers. I have directed 9 Ph.D. Dissertations and 37 MS theses. I have lectured all over the world, including places such as Santiago, Chile, Buenos Aires, Argentina, Shanghai, Shenyang, Shenzhen, and Beijing, China, Munich and Regensburg, Germany, Genoa and Pisa, Italy, Johannesburg, South Africa, and many others.My most recentbook, Security Patterns in Practice: Designing Secure Architectures Using Software Patterns , was published by Wiley in 2013. Posts RE15 Slides August 24, 2015 IaaS February 26, 2013 UML and patterns January 16, 2013 Links CEECS Department Homepage FAU Homepage Object-oriented Hillside Pattern Library OMG UML Resource Pattern Languages of Programs Conference (PLoP) Security ICSA IEEE Computer Society's Technical Committee on Security and Privacy (TCSP) IEEE Transactions on Dependable and Secure Computing (TDSC) Fusion theme by digitalnature | powered by WordPress Entries (RSS) and Comments (RSS) ^ SetTextSize SetPageWidth diff --git a/src/data/compiled_bios/3775.txt b/src/data/compiled_bios/3775.txt new file mode 100644 index 0000000000..7974604e45 --- /dev/null +++ b/src/data/compiled_bios/3775.txt @@ -0,0 +1 @@ + Borko Furht, Ph.D. Scientist | Educator | Author | Consultant | Speaker Menu Home Contributions Research expand child menu Projects Books Publications expand child menu Journal Papers Conference Proceedings Book Chapters and Publications Technical Reports Patents and Patent Applications Invited Lectures Academic expand child menu Courses Taught Dissertations Supervised University Services Awards Editorial Activities Home Borko Furht Professor of Computer Science and Engineering Director of the NSF Industry/University Cooperative Research Center Florida Atlantic University, Boca Raton, Florida, USA bfurht@fau.edu Borko Furht is a professor in the Department of Electrical & Computer Engineering and Computer Science ( CEECS ) at Florida Atlantic University ( FAU ) in Boca Raton, Florida. He is also Director of the NSF-sponsored Industry/University Cooperative Research Center on Advanced Knowledge Enablement at FAU. From 2010 to 2013, he served as Chair of the CEECS Department, and from 2002-2009 as Chair of Computer Science and Engineering Department at FAU. From 2006-2008, he was also Senior Assistant Vice President for Engineering and Technology at FAU. Before joining FAU, he was a vice president of research and a senior director of development at Modcomp (Ft. Lauderdale), a computer company of Daimler Benz, Germany, a professor at University of Miami in Coral Gables, Florida, and a senior researcher in the Institute Boris Kidric-Vinca, Yugoslavia. Professor Furht received Ph.D. degree in electrical and computer engineering from the University of Belgrade . His current research is in multimedia systems, multimedia big data, video coding and compression, 3D video and image systems, wireless multimedia, cloud computing, and social networks. He has been presently Principal Investigator and Co-PI of several multiyear, multimillion dollar projects. He received total funding of $15 million from government agencies including NSF, NIH, Department of Navy, DoD, and NASA, and private industries including IBM, Google, Apple, LexisNexis, Motorola, Emerson, and others. He is the author of numerous books and articles in the areas of multimedia, computer architecture, real-time computing, and operating systems. He is a founder and editor-in-chief of the Journal of Multimedia Tools and Applications (Springer) ,and he recently co-founded Journal of Big Data (Springer) . He has received several technical and publishing awards, and has consulted for many high-tech companies including IBM, Hewlett-Packard, Xerox, General Electric, JPL, NASA, Honeywell, and RCA. He was named as 2013 Researcher of the Year at FAU. He has also served as a consultant to various colleges and universities. He has given many invited talks, keynote lectures, seminars, and tutorials. He served as Chairman and Director on the Board of Directors of several high-tech companies and as an expert witness for Cisco, Qualcomm, Adobe, and Bell Canada. He is presently Special Advisor for Technology and Innovations for the United Nations Global Millennium Development Foundation. Curriculum Vitae NSF CAKE at FAU NSF CAKE Brochure Industry Nominated Technology Breakthroughs Press Releases and News Google Scholar ACM Digital Library Research Gate Favorite Quotes Gallery Home Contributions Research expand child menu Projects Books Publications expand child menu Journal Papers Conference Proceedings Book Chapters and Publications Technical Reports Patents and Patent Applications Invited Lectures Academic expand child menu Courses Taught Dissertations Supervised University Services Awards Editorial Activities Borko Furht, Ph.D. Proudly powered by WordPress diff --git a/src/data/compiled_bios/3776.txt b/src/data/compiled_bios/3776.txt new file mode 100644 index 0000000000..7d68322689 --- /dev/null +++ b/src/data/compiled_bios/3776.txt @@ -0,0 +1 @@ + Behnaz Ghoraani Asst. Professor and I-SENSE Fellow Department of Computer and Electrical Engineering and Computer Science 777 Glades Road, 96 EE 319 Boca Raton, FL 33431-0991 p: 561.297.4031 bghoraani@fau.edu Education Ph.D., Ryerson University, Toronto, Canada Research Interests Non-stationary Data Analytics Pattern Recognition and Information Retrieval Biomedical and Speech Signal Analysis Feature Extraction and Classification Time-frequency Signal Analysis Machine Learning and Classification Research Site Biomedical Signal and Image Analysis Lab . diff --git a/src/data/compiled_bios/3777.txt b/src/data/compiled_bios/3777.txt new file mode 100644 index 0000000000..d46ffc8f2e --- /dev/null +++ b/src/data/compiled_bios/3777.txt @@ -0,0 +1 @@ + Jason O. Hallstrom Professor & Dir. I-SENSE Department of Computer and Electrical Engineering and Computer Science 777 Glades Road, EE 324 Boca Raton, FL 33431-0991 p: 561.297.4748 jhallstrom@fau.edu Education Ph.D., Ohio State University Research Interests Embedded Network Systems Internet-scale Sensing Infrastructure The Internet of Things Computing Education Research Site Institute for Sensing and Embedded Network Systems Engineering (I-SENSE) . diff --git a/src/data/compiled_bios/3778.txt b/src/data/compiled_bios/3778.txt new file mode 100644 index 0000000000..8b5074d10b --- /dev/null +++ b/src/data/compiled_bios/3778.txt @@ -0,0 +1 @@ + Shihong Huang Assoc. Dean for Faculty Affairs, Equity and Inclusion and Professor Department of Computer and Electrical Engineering and Computer Science 777 Glades Road, EE 308K Boca Raton, FL 33431-0991 p: 561.297.1275 shihong@fau.edu Assoc. Dean for Faculty Affairs, Equity and Inclusion and Professor Department of Computer and Electrical Engineering and Computer Science 777 Glades Road, EE 308K Boca Raton, FL 33431-0991 p: 561.297.1275 shihong@fau.edu Assoc. Dean for Faculty Affairs, Equity and Inclusion and Professor Department of Computer and Electrical Engineering and Computer Science 777 Glades Road, EE 308K Boca Raton, FL 33431-0991 p: 561.297.1275 shihong@fau.edu Assoc. Dean for Faculty Affairs, Equity and Inclusion and ProfessorDepartment of Computer and Electrical Engineering and Computer Science777 Glades Road, EE 308KBoca Raton, FL 33431-0991p: 561.297.1275 shihong@fau.edu shihong@fau.eduEducation Ph.D., University of California, Riverside Ph.D., University of California, RiversideResearch Interests Reverse Engineering Program Comprehension Software Systems Redocumentation Software Visualization Reverse EngineeringProgram ComprehensionSoftware Systems RedocumentationSoftware VisualizationResearch Sites Software Engineering Laboratory Personal Site Software Engineering Laboratory Software Engineering Laboratory Personal Site Personal Site FAU, College of Engineering & Computer Science, 777 Glades Road EE 308, Boca Raton, FL 33431-0991. 561.297.3400. 2018 Florida Atlantic University. An Equal Opportunity/Equal Access Institution. FAU, College of Engineering & Computer Science, 777 Glades Road EE 308, Boca Raton, FL 33431-0991. 561.297.3400. 2018 Florida Atlantic University. An Equal Opportunity/Equal Access Institution. FAU, College of Engineering & Computer Science, 777 Glades Road EE 308, Boca Raton, FL 33431-0991. 561.297.3400. 2018 Florida Atlantic University. An Equal Opportunity/Equal Access Institution.FAU, College of Engineering & Computer Science, 777 Glades Road EE 308, Boca Raton, FL 33431-0991. 561.297.3400. 2018 Florida Atlantic University. An Equal Opportunity/Equal Access Institution.// $(document).ready(function() { directedit(); }); . diff --git a/src/data/compiled_bios/3779.txt b/src/data/compiled_bios/3779.txt new file mode 100644 index 0000000000..4dcddb939b --- /dev/null +++ b/src/data/compiled_bios/3779.txt @@ -0,0 +1 @@ + Mohammad Ilyas Professor Department of Computer and Electrical Engineering and Computer Science 777 Glades Road, EE 422 Boca Raton, FL 33431-0991 p: 561.297.3454 ilyas@fau.edu Professor Department of Computer and Electrical Engineering and Computer Science 777 Glades Road, EE 422 Boca Raton, FL 33431-0991 p: 561.297.3454 ilyas@fau.edu Professor Department of Computer and Electrical Engineering and Computer Science 777 Glades Road, EE 422 Boca Raton, FL 33431-0991 p: 561.297.3454 ilyas@fau.edu ProfessorDepartment of Computer and Electrical Engineering and Computer Science777 Glades Road, EE 422Boca Raton, FL 33431-0991p: 561.297.3454 ilyas@fau.edu ilyas@fau.eduEducation Ph.D., Educational Leadership, Florida Atlantic University, Boca Raton, FL, USA, 2015 Ph.D., Electrical Engineering, Queen's University, Kingston, Ontario, Canada, l983 M.S., Electrical and Electronic Engineering, Shiraz University, Shiraz, Iran, l980 B.S., Electrical Engineering, University of Engineering and Technology, Lahore, Pakistan, l976 M.D.P. (Management Development Program), Harvard University, Cambridge, MA, USA, 2004 M.L.E. (Institute for Management and Leadership in Education), Harvard University, Cambridge, MA, USA, 2013 Ph.D., Educational Leadership, Florida Atlantic University, Boca Raton, FL, USA, 2015Florida Atlantic UniversityPh.D., Electrical Engineering, Queen's University, Kingston, Ontario, Canada, l983Queen's UniversityM.S., Electrical and Electronic Engineering, Shiraz University, Shiraz, Iran, l980Shiraz UniversityB.S., Electrical Engineering, University of Engineering and Technology, Lahore, Pakistan, l976University of Engineering and TechnologyM.D.P. (Management Development Program), Harvard University, Cambridge, MA, USA, 2004Harvard UniversityM.L.E. (Institute for Management and Leadership in Education), Harvard University, Cambridge, MA, USA, 2013Research Interests Wireless Communication Networks Sensor Networks and Smart Systems Healthcare Technologies Traffic Characterization and Traffic Management in High-speed Communication Networks Optical Networks Performance Modeling and Analysis Simulation Globalization and Higher Education Wireless Communication NetworksSensor Networks and Smart SystemsHealthcare TechnologiesTraffic Characterization and Traffic Management in High-speed Communication NetworksOptical NetworksPerformance Modeling and AnalysisSimulationGlobalization and Higher Education FAU, College of Engineering & Computer Science, 777 Glades Road EE 308, Boca Raton, FL 33431-0991. 561.297.3400. 2018 Florida Atlantic University. An Equal Opportunity/Equal Access Institution. FAU, College of Engineering & Computer Science, 777 Glades Road EE 308, Boca Raton, FL 33431-0991. 561.297.3400. 2018 Florida Atlantic University. An Equal Opportunity/Equal Access Institution. FAU, College of Engineering & Computer Science, 777 Glades Road EE 308, Boca Raton, FL 33431-0991. 561.297.3400. 2018 Florida Atlantic University. An Equal Opportunity/Equal Access Institution.FAU, College of Engineering & Computer Science, 777 Glades Road EE 308, Boca Raton, FL 33431-0991. 561.297.3400. 2018 Florida Atlantic University. An Equal Opportunity/Equal Access Institution.// $(document).ready(function() { directedit(); }); . diff --git a/src/data/compiled_bios/378.txt b/src/data/compiled_bios/378.txt new file mode 100644 index 0000000000..3461191079 --- /dev/null +++ b/src/data/compiled_bios/378.txt @@ -0,0 +1 @@ +Name: Natarajan,Sriraam:: Position: Associate Professor:: Degrees: Ph.D., Machine Learning, Oregon State University, 2007; M.S., Computer Science, Oregon State University, 2004; B.E., Computer Science, University of Madras, 2001; Research Interests: Artificial Intelligence; Machine Learning; Statistical Relational AI; Health Informatics/Precision Health; Major Honors and Awards: Young Investigator Award, Army Research Office, 2013; XEROX PARC Faculty Award, 2014; Indiana University Trustees Award for Teaching Excellence, 2015; Amazon Faculty Research Award, 2017; RepresentativePublications: Sriraam Natarajan, Tushar Khot, Kristian Kersting, Bernd Gutmann and Jude Shavlik.Gradient-based Boosting for Statistical Relational Learning: The Relational Dependency Network Case, Special issue of Machine Learning Journal (MLJ), Volume 86, Number 1, 25-56, 2012.; Shuo Yang, Tushar Khot, Kristian Kersting and Sriraam Natarajan,Learning Continuous-Time Bayesian Networks in Relational Domains: A Non-Parametric Approach,30th AAAI Conference on Artificial Intelligence (AAAI), 2016.; Phillip Odom, Tushar Khot, Reid Porter, and Sriraam Natarajan,Knowledge-Based Probabilistic Logic Learning, Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI), 2015.; Kristian Kersting, Babak Ahmadi, Sriraam Natarajan.Counting Lifted Belief Propagation, International Conference on Uncertainty in AI (UAI), 2009.; Alan Fern, Sriraam Natarajan, Kshitij Judah and Prasad Tadepalli,A Decision-Theoretic Model of Assistance,Journal of Artificial Intelligence Research (JAIR), 2014.; Notable Services: Electronics Publishing Editor, Journal of AI Research; Chair, Statistical Relational Workshops, AAAI Student Organization Chairs for four consecutive years; Senior Program Committee Members for AI/ML Conferences; diff --git a/src/data/compiled_bios/3780.txt b/src/data/compiled_bios/3780.txt new file mode 100644 index 0000000000..a28ef13964 --- /dev/null +++ b/src/data/compiled_bios/3780.txt @@ -0,0 +1 @@ + David Jaramillo Adjunct Professor Department of Computer and Electrical Engineering and Computer Science 777 Glades Road, EE 403 Boca Raton, FL 33431-0991 p: 561.297.3855 djaramil@fau.edu Education Ph.D., Computer Engineering, Florida Atlantic University M.S., Computer Science, Florida Atlantic University B.S., Mathematics and Computers, Florida Atlantic University Field of Expertise Mobile, Cloud, Cognitive Computing Internet of Things (IoT) Industry Affiliation IBM CIO Cloud Engineering & Services, Manager/Chief Architect, and IBM CHQ/CIO Master Inventor & IBM Academy of Technology Member IBM Master Inventor with over 40 patents issued and published numerous technical papers in several journals and conferences. . diff --git a/src/data/compiled_bios/3781.txt b/src/data/compiled_bios/3781.txt new file mode 100644 index 0000000000..240e570ff8 --- /dev/null +++ b/src/data/compiled_bios/3781.txt @@ -0,0 +1 @@ + Hari Kalva Professor and Associate Chair; Director, Multimedia Lab Dept. of Computer & Electrical Engineering and Computer Science Spring 2017 Office hours (EE96/440): Mon, 2:00 PM -- 5:00 PM or by appointment Research Research Overview Our research interests are in the areas of visual information processing that considers the entire video pipeline -- capture, compression, communication, and consumption. We are interested in understanding how visual perception, cognition, and emotion can help optimize video services. One key area of focus is understanding and applying human visual perception, cognition, and social context to optimize video quality and reduce bandwidth needed for video services. Standardization Research We are actively involved in research related to audio-visual compression and communication standards. Our work includes low complexity encoding and transcoding of HEVC, AVC/H.264, and MPEG-2. A related area of focus is video encoding and delivery optimization for mobile devices. Applying and optimizing WebRTC for realtime services is another area of interest. Selected Research Projects Perception inspired video coding Social TV HEVC encoding for mobile devices Emotional audio and video perception Crowdsourcing subjective video quality Emotion classification using EEG Parking lot occupancy computation using video analysis HEVC transcoding Entropy reduction using pixel permutations HEVC transcoding Full project descriptions at mlab.fau.edu Teaching Spring 2017 Office hours (EE96/440): Mon, 2:00 PM -- 5:00 PM or by appointment EGN 4952C Engineering Design 2 Location: GS 116, MON 10:00 AM to 12:50 PM Publications The following is a selected list of publications. Click for a complete list . Figuerola O, Adzic V, Kalva H and Shah A (2013). Assessing Internet Video Quality Using Crowdsourcing In Proc. ACM Multimedia 2013, The 2nd International ACM Workshop on Crowdsourcing for Multimedia. , In Press. [ PDF ] Adzic V, Kalva H and Furht B (2013). Exploring visual temporal masking for video compression In 2013 IEEE International Conference on Consumer Electronics (ICCE). , 590-591. [ DOI ] [ PDF ] Figuerola O and Kalva H (2013). Architecting Social TV In Proc. SPIE. 8856, Applications of Digital Image Processing XXXVI. 8856, In Press. [ PDF ] Garcia R and Kalva H (2013). Subjective evaluation of HEVC in mobile devices 8667, 86670L-86670L-9. [ DOI ] [ PDF ] Kalva H, Parikh A and Srinivasan A (2013). Accelerating video carving from unallocated space 8665, 86650H-86650H-4. [ DOI ] [ PDF ] Van Leuven S, Kalva H, Van Wallendael G, De Cock J and Van de Walle R (2013). Joint complexity and rate optimization for 3DTV depth map encoding In 2013 IEEE International Conference on Consumer Electronics (ICCE). , 191-192. [ DOI ] [ PDF ] Adzic V, Kalva H and Cheok L-T (2012). Adapting video delivery based on motion triggered visual attention In Proc. SPIE. 8499, Applications of Digital Image Processing XXXV. 8499, 84991L-84991L-6. [ DOI ] [ PDF ] Adzic V, Kalva H and Furht B (2012). Optimizing video encoding for adaptive streaming over HTTP IEEE Transactions on Consumer Electronics. 58(2), 397-403. [ DOI ] [ PDF ] Adzic V, Kalva H and Furht B (2011). A survey of multimedia content adaptation for mobile devices Multimedia Tools and Applications. January, 2011. 51(1), 379-396. [ DOI ] [ PDF ] Kalva H, Colic A, Garcia A and Furht B (2011). Parallel programming for multimedia applications Multimedia Tools and Applications. January, 2011. 51(2), 801-818. [ DOI ] [ PDF ] Adzic V, Kalva H and Furht B (2011). Optimized adaptive HTTP streaming for mobile devices In Proc. SPIE. 8135, Applications of Digital Image Processing XXXIV 81350T. 8135, 81350T-81350T-10. [ DOI ] [ PDF ] Kalva H, Marques O, Aghera S, Reza W, Giusti R and Rahman A (2011). Design and Development of a System for Aerial Video Survey of Large Marine Animals August, 2011. [ PDF ] Garcia A, Kalva H and Furht B (2010). A study of transcoding on cloud environments for video content delivery In Proceedings of the 2010 ACM multimedia workshop on Mobile cloud media computing. New York, NY, USA , 1318. [ DOI ] [ PDF ] Reza W, Kalva H and Kaufman R (2010). Remote gaming on resource-constrained devices 7798, 77981Q-77981Q-7. [ DOI ] [ PDF ] Sebastian P and Kalva H (2010). Accuracy and stability improvement of tomography video signatures In 2010 IEEE International Conference on Multimedia and Expo (ICME). , 133-137. [ DOI ] [ PDF ] Fernandez-Escribano G, Kalva H, Martinez JL, Cuenca P, Orozco-Barbosa L and Garrido A (2010). An MPEG-2 to H.264 Video Transcoder in the Baseline Profile IEEE Transactions on Circuits and Systems for Video Technology. 20(5), 763-768. [ DOI ] [ PDF ] Paula C, Hari K and Spyros M (2010). Compression independent reversible encryption for privacy in video surveillance EURASIP Journal on Information Security. 2009(Article {ID} 429581), 1-13. [ DOI ] Fernandez-Escribano G, Kalva H, Cuenca P, Orozco-Barbosa L and Garrido A (2008). A Fast MB Mode Decision Algorithm for MPEG-2 to H.264 P-Frame Transcoding IEEE Transactions on Circuits and Systems for Video Technology. 18(2), 172-185. [ DOI ] [ PDF ] Contact Dept. of Computer & Electrical Engineering and Computer Science 777 Glades Road Florida Atlantic University Boca Raton, FL 34341 Office: EE96/440 Phone: +1(561) 297-0511 E-mail: hari DOT kalva AT fau.edu Best student paper award (2nd place) Human Vision and Electronic Imaging (HVEI), for work on reducing Inattentional Blindness. PAPER See some of our projects in the NSF Industry/University Cooperative Research Center, Center for Advanced Knowledge Enablement ( CAKE ) Technology transfer: SurviveDrive, a onestep backup solution , was developed by my team. NEWS Copyright 2012-2016 Hari Kalva. diff --git a/src/data/compiled_bios/3782.txt b/src/data/compiled_bios/3782.txt new file mode 100644 index 0000000000..717dc1609a --- /dev/null +++ b/src/data/compiled_bios/3782.txt @@ -0,0 +1 @@ + Taghi Khoshgoftaar Motorola Professor Department of Computer and Electrical Engineering and Computer Science 777 Glades Road, EE 511 Boca Raton, FL 33431-0991 p: 561.297.3994 khoshgof@fau.edu Education Ph.D., Virginia Polytechnic Institute and State University Research Interests Data Mining and Machine Learning Big Data Analytics Software Engineering Biomedical and Health Informatics Computer Security and Intrusion Detection Systems . diff --git a/src/data/compiled_bios/3783.txt b/src/data/compiled_bios/3783.txt new file mode 100644 index 0000000000..407ca15135 --- /dev/null +++ b/src/data/compiled_bios/3783.txt @@ -0,0 +1 @@ + Feng-Hao Liu FAU College of Engineering and Computer Science Menu Research Teaching Invited Talks Services About me I am an assistant professor at the CEECS department of FAU. I received my PhD degree from Brown University in 2013, under the supervision of Professor Anna Lysyanskaya . From 2013 -2015,I joined theMaryland Cybersecurity Center, University of Maryland as a postdoctoral researcher, hosted byProfessors Jonathan Katz , Elaine Shi and Dana Dachman-Soled . See my cv for further information. My research interests center around cryptography and information security. Please see my research page and my publications for more details. I am also looking for collaborations withother related areas. Contact Information Department of Computer & Electrical Engineering and Computer Science 777 Glades Road,EE 412 Boca Raton,FL 33431-0991 phone: 561-297-2341 email: fenghao.liu@fau.edu Powered by WP-Forge & WordPress diff --git a/src/data/compiled_bios/3784.txt b/src/data/compiled_bios/3784.txt new file mode 100644 index 0000000000..c7161be39c --- /dev/null +++ b/src/data/compiled_bios/3784.txt @@ -0,0 +1 @@ + Imadeldin Mahgoub Tecore Professor Department of Computer and Electrical Engineering and Computer Science 777 Glades Road, EE 421 Boca Raton, FL 33431-0991 p: 561.297.3458 mahgoubi@fau.edu Education Ph.D., Pennsylvania State University Research Interests Smart Mobile Computing Vehicular Networks Wireless Sensor Networks Intelligent Transportation Systems Smart Healthcare Technologies Parallel and Distributed Systems Research Lab Tecore Networks Lab - Smart Mobile Computing . diff --git a/src/data/compiled_bios/3785.txt b/src/data/compiled_bios/3785.txt new file mode 100644 index 0000000000..5c819b05de --- /dev/null +++ b/src/data/compiled_bios/3785.txt @@ -0,0 +1 @@ + Oge Marques Professor Department of Computer and Electrical Engineering and Computer Science 777 Glades Road, EE 441 Boca Raton, FL 33431-0991 p: 561.297.3857 omarques@fau.edu Professor Department of Computer and Electrical Engineering and Computer Science 777 Glades Road, EE 441 Boca Raton, FL 33431-0991 p: 561.297.3857 omarques@fau.edu Professor Department of Computer and Electrical Engineering and Computer Science 777 Glades Road, EE 441 Boca Raton, FL 33431-0991 p: 561.297.3857 omarques@fau.edu ProfessorDepartment of Computer and Electrical Engineering and Computer Science777 Glades Road, EE 441Boca Raton, FL 33431-0991p: 561.297.3857 omarques@fau.edu omarques@fau.eduEducation Ph.D., Florida Atlantic University Ph.D., Florida Atlantic University Florida Atlantic UniversityResearch Interests Human and Computer Vision Medical Image and Video Processing Human Computation Machine Learning Healthcare Technologies Mobile and Web-based App Development Human and Computer VisionMedical Image and Video ProcessingHuman ComputationMachine LearningHealthcare TechnologiesMobile and Web-based App Development FAU, College of Engineering & Computer Science, 777 Glades Road EE 308, Boca Raton, FL 33431-0991. 561.297.3400. 2018 Florida Atlantic University. An Equal Opportunity/Equal Access Institution. FAU, College of Engineering & Computer Science, 777 Glades Road EE 308, Boca Raton, FL 33431-0991. 561.297.3400. 2018 Florida Atlantic University. An Equal Opportunity/Equal Access Institution. FAU, College of Engineering & Computer Science, 777 Glades Road EE 308, Boca Raton, FL 33431-0991. 561.297.3400. 2018 Florida Atlantic University. An Equal Opportunity/Equal Access Institution.FAU, College of Engineering & Computer Science, 777 Glades Road EE 308, Boca Raton, FL 33431-0991. 561.297.3400. 2018 Florida Atlantic University. An Equal Opportunity/Equal Access Institution.// $(document).ready(function() { directedit(); }); . diff --git a/src/data/compiled_bios/3786.txt b/src/data/compiled_bios/3786.txt new file mode 100644 index 0000000000..71a4b6d96e --- /dev/null +++ b/src/data/compiled_bios/3786.txt @@ -0,0 +1 @@ + Perambur S. Neelakanta Professor Department of Computer and Electrical Engineering and Computer Science 777 Glades Road, EE 517 Boca Raton, FL 33431-0991 p: 561.297.3469 neelakan@fau.edu Education Ph.D., Indian Institute of Technology, Madras, India Research Interests Microwave Systems, EM Field Theory & Antennas Neural Networks/Neural Complexity Radar and RF Communication Systems Electromagnetic Materials (Including Composite and Nano-structures) Next-generation Telecommunications (Wireline & Wireless) Internet Engineering and Related Technoeconomics Bioinformatics and Biomedical instrumentation RF COMOS VLSI Techniques . diff --git a/src/data/compiled_bios/3787.txt b/src/data/compiled_bios/3787.txt new file mode 100644 index 0000000000..0a9ed46ae2 --- /dev/null +++ b/src/data/compiled_bios/3787.txt @@ -0,0 +1 @@ + Main Education Research Teaching/Outreach Publication Invited Talk Award Service Mehrdad Nojoumian Assistant Professor Department of CEECS Florida Atlantic University , EE 503A Boca Raton, FL 33431 Tel: (561) 297-3411 - Cell: (408) 508-4002 mnojoumian (at) faudotedu I received my PhD from the Cheriton School of Computer Science at University of Waterloo , and my MSc from the School of Electrical Engineering and Computer Science at University of Ottawa . My research interests lie on trust management, autonomous systems, applied cryptography, security and privacy, game theory, and any interdisciplinary research on the intersection of computer science and other disciplines such as cognitive science and economics. I always look for highly motivated and talented PhD students . Please contact me (with your CV) if you are interested in performing fascinating research in our interdisciplinary research lab . Last but not least, thanks to our research sponsors: FC2, AFRL, ARL, I-Sense, and Dominode. Updated: June 30, 2018 - Views: diff --git a/src/data/compiled_bios/3788.txt b/src/data/compiled_bios/3788.txt new file mode 100644 index 0000000000..8be742a465 --- /dev/null +++ b/src/data/compiled_bios/3788.txt @@ -0,0 +1 @@ + Dimitris Pados Professor, I-SENSE Fellow, Charles E. Schmidt Eminent Scholar in Engineering Department of Computer and Electrical Engineering and Computer Science 777 Glades Road, EE 325 Boca Raton, FL 33431-0991 p: 561.297.2988 dpados@fau.edu Websites Research: Center for Connected Assured Autonomy (C2A2) Personal: faculty.eng.fau.edu/dimitrispados Education Ph.D., Electrical Engineering, University of Virginia Diploma (5-year program), Computer Engineering and Science, University of Patras, Greece Research Interests Communications Theory and Systems Cognitive Software-defined Radios and Networks Interference Avoiding Networking Secure Wireless Communications Underwater Cognitive Hi-rate/Long-distance Acoustic Communications Autonomous/Unmanned Aerial/Ground/Underwater System Communications Machine Learning and Adaptive Signal Processing L1-norm Principal-component Analysis (L1-PCA) Robust Feature Extraction from Faulty Data Sets Digital Data Embedding/Hiding Compressed-sensed (Multi-view) Imaging and Video Localization in GPS-less Environments Ad-hoc/Dynamic Geometry Beamforming and Array Radar Communications-Radar Coexistence . diff --git a/src/data/compiled_bios/3789.txt b/src/data/compiled_bios/3789.txt new file mode 100644 index 0000000000..ca2723f5f0 --- /dev/null +++ b/src/data/compiled_bios/3789.txt @@ -0,0 +1 @@ + Abhijit Pandya Professor Department of Computer and Electrical Engineering and Computer Science 777 Glades Road, EE 516 Boca Raton, FL 33431-0991 p: 561.297.2809 pandya@fau.edu Education Ph.D., Syracuse University Research Interests Neural Network Algorithms VLSI Implementation of Neural Networks Low Power CMOS Circuit Design Digital Circuit Design Layout and Verification . diff --git a/src/data/compiled_bios/379.txt b/src/data/compiled_bios/379.txt new file mode 100644 index 0000000000..fbb7c528d5 --- /dev/null +++ b/src/data/compiled_bios/379.txt @@ -0,0 +1 @@ +Name: Ng, Vincent:: Position: Professor:: Degrees: Ph.D., Computer Science, Cornell University; B.S., Computer Science, Carnegie Mellon University; Research Interests: Natural Language Processing; Machine Learning; Artificial Intelligence; RepresentativePublications: Persing, Isaac and Vincent Ng, Modeling argument strength in student essays, In Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing, Beijing, China, 2015.; Chen, Chen and Vincent Ng, Chinese event coreference resolution: An unsupervised probabilistic model rivaling supervised resolvers, In Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics, Denver, CO, 2015.; DSouza, Jennifer and Vincent Ng, Sieve-based spatial relation extraction with expanding parse trees, In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, Lisbon, Portugal, 2015.; Venugopal, Deepak, Chen Chen, Vibhav Gogate, and Vincent Ng, Relieving the computational bottleneck: Joint inference for event extraction with high-dimensional features, In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, Doha, Qatar, 2014.; diff --git a/src/data/compiled_bios/3790.txt b/src/data/compiled_bios/3790.txt new file mode 100644 index 0000000000..7f841f8314 --- /dev/null +++ b/src/data/compiled_bios/3790.txt @@ -0,0 +1 @@ + Mirjana Pavlovic Visiting Instructor Department of Computer and Electrical Engineering and Computer Science 777 Glades Road, EE 515 Boca Raton, FL 33431-0991 p: 561.297.2348 mpavlovi@fau.edu Education MD, MS and PhD, University of Belgrade, Yugoslavia Research Interests Bioengineering(stem cells and cancer stem cells) Translating Lab Data to the Clinical Arena Autoimmune Diseases-Lupus Anti-DNA Antibodies Autism . diff --git a/src/data/compiled_bios/3791.txt b/src/data/compiled_bios/3791.txt new file mode 100644 index 0000000000..6de5c65e70 --- /dev/null +++ b/src/data/compiled_bios/3791.txt @@ -0,0 +1 @@ + Vance Peterson Instructor Department of Computer and Electrical Engineering and Computer Science 777 Glades Road, EE 433 Boca Raton, FL 33431-0991 p: 561.297.2815 vpeterso@fau.edu Education Ph.D., Florida Atlantic University Research Interests RF/IF Circuits RF Mixer Circuits RF Amplifiers Communication Devices Nondestructive Testing . diff --git a/src/data/compiled_bios/3792.txt b/src/data/compiled_bios/3792.txt new file mode 100644 index 0000000000..920db284f7 --- /dev/null +++ b/src/data/compiled_bios/3792.txt @@ -0,0 +1 @@ + Maria Larrondo Petrie Professor Department of Computer and Electrical Engineering and Computer Science 777 Glades Road, EE 526 Boca Raton, FL 33431-0991 p: 561.297.3899 petrie@fau.edu Education Ph.D., Florida Atlantic University Research Interests Modeling of Complex Systems Data and Network Security Information Assurance Software Engineering, Architecture and Patterns Engineering Pedagogy Global Engineering Education . diff --git a/src/data/compiled_bios/3793.txt b/src/data/compiled_bios/3793.txt new file mode 100644 index 0000000000..f762b4f2d3 --- /dev/null +++ b/src/data/compiled_bios/3793.txt @@ -0,0 +1 @@ + Saeed Rajput Adjunct Professor Department of Computer and Electrical Engineering and Computer Science 777 Glades Road, EE 403 Boca Raton, FL 33431-0991 p: 561.297.3855 srajput@fau.edu Education Ph.D., University of Southern California Field of Expertise Block Chains Network Security Machine Learning Industry Affiliation Chief Science Officer, Cloutel, LLC, Denver, CO Professional Society Membership Senior Member IEEE . diff --git a/src/data/compiled_bios/3794.txt b/src/data/compiled_bios/3794.txt new file mode 100644 index 0000000000..24424c6b94 --- /dev/null +++ b/src/data/compiled_bios/3794.txt @@ -0,0 +1 @@ + Daniel Raviv Professor Department of Computer and Electrical Engineering and Computer Science 777 Glades Road, EE 420 Boca Raton, FL 33431-0991 p: 561.297.2773 ravivd@fau.edu Education Ph.D., Case Western Reserve University Research Interests Real-Time Vision-Based Robotic Systems Intelligent Transportation Systems Driver-less Cars Creative, Innovative and Inventive Thinking . diff --git a/src/data/compiled_bios/3795.txt b/src/data/compiled_bios/3795.txt new file mode 100644 index 0000000000..951f19562b --- /dev/null +++ b/src/data/compiled_bios/3795.txt @@ -0,0 +1 @@ + William Rhodes Professor Department of Computer and Electrical Engineering and Computer Science 777 Glades Road, EE 439 Boca Raton, FL 33431-0991 p: 561.297.2338 wrhodes@fau.edu Education Ph.D., Stanford University Research Interests Imaging Systems Image Processing Information Optics Signal Processing . diff --git a/src/data/compiled_bios/3796.txt b/src/data/compiled_bios/3796.txt new file mode 100644 index 0000000000..1b2bbe44fe --- /dev/null +++ b/src/data/compiled_bios/3796.txt @@ -0,0 +1 @@ + Dr. Zvi Roth Professor Search Main menu Skip to primary content Home Research Analog Electronic Design Biotechnology Books Control Robotics Service Bioengineering MS Program FCRAR Florida Israel Institute Teaching Bioengineering Control Systems Electronics Home Dr. Zvi Roth Department of Computer & Electrical Engineering and Computer Science Professor Campus: Boca Campus , Office: EE 519 Research Interests: Robotic and Machine Calibration Control Systems Analog Electronic Design Bioengineering Education: Ph.D., Case Western Reserve University Zvi Roth CV 081418 Contact Information: FAU, Computer & Electrical Engineering and Computer Science 777 Glades Road EE519 Boca Raton FL, 33431 Tel: (561) 297-3471, Fax: (561) 297-2800 rothz@fau.edu Welcome to my web page! The page contains much teaching material in Electronics, Control and Bioengineering that I hope that some readers find useful. My current research is described in some more detail with several recent papers and posted dissertations. Some of my past and present service activities are covered too. I temporarily disabled all blog options. Comments and any requests are all welcome via e-mail and phone only. Proudly powered by WordPress diff --git a/src/data/compiled_bios/3797.txt b/src/data/compiled_bios/3797.txt new file mode 100644 index 0000000000..2f1899848b --- /dev/null +++ b/src/data/compiled_bios/3797.txt @@ -0,0 +1 @@ + Ravi Shankar Professor Department of Computer and Electrical Engineering and Computer Science 777 Glades Road, EE 513 Boca Raton, FL 33431-0991 p: 561.297.3470 shankar@fau.edu Education Ph.D., University of Wisconsin - Madison Research Interests Systems Integration Concurrency Design Productivity Semantic Web . diff --git a/src/data/compiled_bios/3798.txt b/src/data/compiled_bios/3798.txt new file mode 100644 index 0000000000..8feacfd00d --- /dev/null +++ b/src/data/compiled_bios/3798.txt @@ -0,0 +1 @@ + George Sklivanitis Research Assistant Professor Department of Computer and Electrical Engineering and Computer Science 777 Glades Road, EE 311 Boca Raton, FL 33431-0991 p: 561.297.1163 gsklivanitis@fau.edu Websites Research: Center for Connected Assured Autonomy (C2A2) Education Ph.D., Electrical Engineering, University at Buffalo, The State University of New York Diploma (5-year program), Electronic and Computer Engineering, Technical University of Crete, Greece Research Interests Cognitive Radio Waveform Design for Interference Avoiding Networking Software-defined Wireless Networks Adaptive Underwater Acoustic Communications Robust Localization and Navigation in GPS-less Environments Autonomous Networked Systems Recent Publications G. Sklivanitis , A. Gannon, K. Tountas, D. A. Pados, S. N. Batalama, S. Reichhart, M. Medley, N. Thawdar, U. Lee, J. Matyjas, S. Pudlewski, A. Drozd, A. Amanna, F. Latus, Z. Goldsmith, D. Diaz Airborne cognitive networking: Design, development, and deployment, in IEEE Access, special issue on Networks of Unmanned Aerial Vehicles: Wireless Communications, Applications, Control and Modeling, Jul. 2018. N. Tsagkarakis, P. P. Markopoulos, G. Sklivanitis and D. A. Pados, L1-Norm principal-component analysis of complex data, in IEEE Transactions on Signal Processing, vol. 66, no. 12, pp. 3256-3267, Jun. 2018. E. Demirors, G. Sklivanitis , G. E. Santagati, T. Melodia, and S. N. Batalama, A high-rate software-defined underwater acoustic modem with real-time adaptation capabilities, in IEEE Access, special issue on Underwater Wireless Communications and Networking, pp. 18602-18615, Mar. 2018. G. Sklivanitis , J. Ashdown, K. Tountas, D. A. Pados, Sparse Waveform Design for secure LPD / LPI underwater acoustic c ommunications, in Proc. IEEE OCEANS , Charleston, SC, USA, Oct. 2018. A. Gannon, G. Sklivanitis , P. P. Markopoulos, D. A. Pados, S. N. Batalama, Semi-blind signal recovery in impulsive noise with L1-Norm PCA, in Proc. IEEE Asilomar Conference on Signals, Systems, and Computers, (ASILOMAR) , Pacific Grove, CA, USA, Nov. 2018. K. Tountas, G. Sklivanitis , D. A. Pados, and S. N. Batalama, All-spectrum digital waveform design via bit flipping, in Proc. IEEE Global Communications Conference (GLOBECOM) , Abu Dhabi, UAE, Dec. 2018. A. Gannon, S. Balakrishnan, G. Sklivanitis , D. A. Pados, and S. N. Batalama, Short data record filtering for adaptive underwater acoustic communications, in Proc. IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), Sheffield , UK, Jul. 2018. Research Profile Research Gate . diff --git a/src/data/compiled_bios/3799.txt b/src/data/compiled_bios/3799.txt new file mode 100644 index 0000000000..bdf51c54cb --- /dev/null +++ b/src/data/compiled_bios/3799.txt @@ -0,0 +1 @@ + Tami Sorgente Senior Instructor Department of Computer and Electrical Engineering and Computer Science 777 Glades Road, EE 430 Boca Raton, FL 33431-0991 p: 561.297.2674 tsorgent@fau.edu Education M.S.C.S., Florida Atlantic University Research Interests Computer Animation Data Security Software Engineering Healthcare Information Management . diff --git a/src/data/compiled_bios/38.txt b/src/data/compiled_bios/38.txt new file mode 100644 index 0000000000..b7fd314727 --- /dev/null +++ b/src/data/compiled_bios/38.txt @@ -0,0 +1 @@ + Associate Professor Department of Electrical and Computer Engineering Department of Mechanical Engineering and Materials Science Pratt School of Engineering Duke University Bio Kris Hauser is an Associate Professor at the Pratt School of Engineering at Duke University with a joint appointment in the Electrical and Computer Engineering Department and the Mechanical Engineering and Materials Science Department. He received his PhD in Computer Science from Stanford University in 2008, bachelor's degrees in Computer Science and Mathematics from UC Berkeley in 2003, and worked as a postdoctoral fellow at UC Berkeley. He then joined the faculty at Indiana University from 2009-2014, where he started the Intelligent Motion Lab. He is a recipient of a Stanford Graduate Fellowship, Siebel Scholar Fellowship, and the NSF CAREER award. Duke ECE Website... CV... Research Research interests include robot motion planning and control, semiautonomous robots, and integrating perception and planning, as well as applications to intelligent vehicles, robotic manipulation, robot-assisted medicine, and legged locomotion. More... Selected Teaching Fall 2016. ECE 383 / MEMS 442: Intro to Robotics and Automation Srping 2016. ECE 490 / MEMS 555: Advanced Robot System Design Fall 2015. ECE 383 / MEMS 442: Intro to Robotics and Automation Spring 2015. ECE 590: Intelligent Robot Motion Spring 2014. I400/I590/B659: Intelligent Robots Fall 2013: B351 Introduction to Artificial Intelligence and Computer Simulation Spring 2012: B553 Optimization and Learning Algorithms Selected Publications K. Hauser. Continuous Pseudoinversion of a Multivariate Function: Application to Global Redundancy Resolution. Workshop on the Algorithmic Foundations of Robotics (WAFR), 2016. Best Paper Award nominee . K. Hauser. Learning the Problem-Optimum Map: Analysis and Application to Global Optimization in Robotics. In IEEE Transactions on Robotics, PP(99)1-12. Also in arXiv:1605.04636 [cs.RO], 2016 K. Hauser and Y. Zhou. Asymptotically Optimal Planning by Feasible Kinodynamic Planning in State-Cost Space. IEEE Transactions of Robotics, 32(6): 1431-1443, 2016. Also in arXiv:1505.04098 [cs.RO], 2015. A. Rocchi, B. Ames, J. Li, and K. Hauser. Stable Simulation of Underactuated Compliant Hands . IEEE Int'l. Conf. on Robotics and Automation (ICRA), 2016. N. Correll, K. E. Bekris, D. Berenson, O. Brock, A. Causo, K. Hauser, K. Okada, A. Rodriguez, J. M. Romano, P. R. Wurman. Lessons from the Amazon Picking Challenge. To appear in IEEE Transactions on Automation Science and Engineering. Also in arXiv:1601.05484 [cs.RO], 2016. O. Ramos and K. Hauser. Generalizations of the Capture Point to Nonlinear Center of Mass Paths and Uneven Terrain. IEEE-RAS Int'l Conference on Humanoid Robots, November, 2015. Best Paper Award J. Luo and K. Hauser. Robust Trajectory Optimization Under Frictional Contact with Iterative Learning. Robotics: Science and Systems (RSS), July 2015. K. Hauser. Lazy Collision Checking in Asymptotically-Optimal Motion Planning. IEEE Intl. Conference on Robotics and Automation (ICRA), May 2015. K. Hauser. The Minimum Constraint Removal Problem with Three Robotics Applications. International Journal of Robotics Research, 33(1):5-17, January, 2014. doi: 10.1177/0278364913507795 K. Hauser. Robust Contact Generation for Robot Simulation with Unstructured Meshes. International Symposium on Robotics Research, 2013. K. Hauser. Recognition, Prediction, and Planning for Assisted Teleoperation with Freeform Tasks . Autonomous Robots, 35(4): 241-254, August, 2013. doi:10.1007/s10514-013-9350-3. K. Hauser. Minimum Constraint Displacement Motion Planning. In proceedings of Robotics: Science and Systems (RSS), Berlin, Germany, June 2013. K. Hauser. Fast Interpolation and Time-Optimization on Implicit Contact Submanifolds. In proceedings of Robotics: Science and Systems (RSS), Berlin, Germany, June 2013. C. Bennett and K. Hauser. Artificial Intelligence Framework for Simulating Clinical Decision-Making: A Markov Decision Process Approach. In Artificial Intelligence in Medicine, 57(1):9-19, January 2013. doi: 10.1016/j.artmed.2012.12.003. J. Johnson and K. Hauser. Optimal Acceleration-Bounded Trajectory Planning in Dynamic Environments Along a Specified Path . IEEE Int'l Conference on Robotics and Automation (ICRA), Minneapolis, May 2012. K. Hauser. On Responsiveness, Safety, and Completeness in Real-Time Motion Planning . Autonomous Robots, 32(1):35-48, 2012. E. You and K. Hauser. Assisted Teleoperation Strategies for Aggressively Controlling a Robot Arm with 2D Input . In Robotics: Science and Systems, Los Angeles, July 2011. K. Hauser and V. Ng-Thow-Hing. Randomized Multi-Modal Motion Planning for a Humanoid Robot Manipulation Task . International Journal of Robotics Research, 30(6):678-698, 2011. doi: 10.1177/0278364910386985. More... diff --git a/src/data/compiled_bios/380.txt b/src/data/compiled_bios/380.txt new file mode 100644 index 0000000000..105ec682f8 --- /dev/null +++ b/src/data/compiled_bios/380.txt @@ -0,0 +1 @@ +Name: Nguyen, Nhut:: Position: Senior Lecturer:: Degrees: Ph.D., Electronics Engineering and Computer Science, The University of Tokyo, Japan; M.S., Electronics Engineering &Computer Science, The University of Tokyo, Japan, 1980; B.S., Electronics Engineering, The University of Tokyo, Japan, 1978; Research Interests: Computer networking, wireless networks, network security; Software engineering for large scale systems; Multimedia systems and protocols; Computer architecture; Major Honors and Awards: President Award, Samsung Telecom America; Achievements in Excellence Award, Samsung Telecom America; Distinguished Inventor Award, Samsung Telecom America; Northern Telecom GSM Award; Recipient of Japans Mobusho Scholarships, 1973-1983; RepresentativePublications: Architecture for enabling Collaborative Augmented Reality using ISOs MPEG Media Transport, Karthik Venkatraman, Yuan Tian, Suraj Raghuraman, Balakrishnan Prabhakaran, Nhut Nguyen, MMSys 2015.; MPEG Media Transport (MMT) for 3D Tele-Immersion Systems, Karthik Venkatraman, Shanthi Vellingiri, Balakrishnan Prabhakaran and Nhut Nguyen. ISM 2014.; Architectural model choices for a SmartGrid home network, Sridhar Rajagopal, Mark Trayer, Nhut Nguyen ad Kong Posh Bhat, , IEEE GreenCom 2011.; Notable Service: Technical Program Committee member for several IEEE conferences, including:; ; The 6th, 7th, 8th, 9th and 10th IEEE International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob 2010, WiMob 2011, WiMob 2012, WiMob 2013 and WiMob 2014); The 73rd, 74th and 77th IEEE Vehicular Technology Conference (VTC 2011, 2012 and 2013); The 10th International Workshop on Information Security Applications (WISA 2009); ; ; Editor for MPEG MMT (MPEG Media Transport) standard drafts; Rapporteur for Study Group 9 (Broadband Cable and TV), ITU-T; Editor for Study Group 16 (Multimedia Systems) and Study Group 17 (Security), ITU-T; Granted Patents: 8,611,859: System and method for providing secure network access in fixed mobile converged telecommunications networks; 8,504,846: Method and apparatus for secure storing of private data on user devices in telecommunications networks; 8,190,753: System and method for protecting emergency response services in telecommunication networks from attack; 7,979,734: Method and system for preventing service disruption of internet protocol (IP) based services due to domain name resolution failures; 7,889,714: Apparatus and method for testing voice systems in a telecommunication network; 7,817,617: Request routing mechanism for distributed multi-participant service application servers in an Internet Protocol multimedia subsystem network; 7,492,715: Apparatus and method for real-time overload control in a distributed call-processing environment; 7,480,244: Apparatus and method for scalable call-processing system; 6,947,758: System and method for providing a distributed processing element unit in a mobile telecommunications network; 6,553,227: Distributed signaling message routing in a scalable wireless communication system; 6,091,953: Distributed signaling message routing in a scalable wireless communication system; 6,021,327: Mobile communication system having improved visitor location register content management and method of operation; me of the above patents were also granted internationally in countries including UK, Germany, China, Japan, South Korea and Italy. The last three patents were adopted into the international GSM (Global System for Mobile) standards. diff --git a/src/data/compiled_bios/3800.txt b/src/data/compiled_bios/3800.txt new file mode 100644 index 0000000000..31faef9b99 --- /dev/null +++ b/src/data/compiled_bios/3800.txt @@ -0,0 +1 @@ + Yufei Tang | Home News Research Group Publications Professional Service Teaching Openings Open Menu Home News Research Group Publications Professional Service Teaching Openings About Yufei Tang (), Ph.D. Assistant Professor, Department of Computer & Electrical Engineering and Computer Science (CEECS) FacultyFellow, Institute for Sensing and Embedded Network Systems Engineering (I-SENSE) Florida Atlantic University 777 Glades Road, EE Room 318,Boca Raton, FL 33431, USA Tel: 1-561-2974981; Email: tangy@fau.edu Yufei Tang is an Assistant Professor in the Department of CEECS and aFaculty Fellow of I-SENSEat Florida Atlantic University (FAU), wherehe is also the director of the Intelligent and Resilient Systems (IRS) Research Group . He received his Ph.D. in Electrical Engineering from the University of Rhode Island (URI) in 2016. His research includes Computational Intelligence (e.g., Machine Learning, Networked Data Mining) and Cyber-Physical Systems (e.g., IoT, Smart Grid,Critical Infrastructure Systems). Dr. Tang is an active member of IEEE. He has authored and co-authored more than 60 peer-reviewed research articles, including high impactjournal/conference papers. He is an active reviewer for top-tier journals and conferences, such as the IEEE Transactions on Smart Grid (TSG), IEEE Transactions on Power Systems (TPS), IEEE Transactions on Big Data (TBD), IEEE International Conference on Data Mining (ICDM), and AAAI Conference on Artificial Intelligence. He is the recipient of the Steve Bouley and Rhonda Wilson Graduate Fellowship (2016), the Chinese Government Award for Outstanding Student Abroad (2015), a co-recipient of the IEEE PESGM Graduate Student Poster Contest, Second Prize (2015), and the IEEE International Conference on Communications (ICC) Best Paper Award (2014). diff --git a/src/data/compiled_bios/3801.txt b/src/data/compiled_bios/3801.txt new file mode 100644 index 0000000000..9cd2ca6352 --- /dev/null +++ b/src/data/compiled_bios/3801.txt @@ -0,0 +1 @@ + Dingding Wang Florida Atlantic University Assistant Professor Department of Computer & ElectricalEngineering and Computer Science Office: EE 510 Phone: 561-297-3228 Email: wangd AT fau.edu Short Biography Dr. Dingding Wang received her Ph.D. in Computer Science from Florida International University in 2010 and B.S. in Computer Science from University of Science and Technology of China in 2003. Piror to joining FAU, she worked as a postdoctoral associate in Center for Computational Science at University of Miami from 2011 to 2014.She was also a research intern in NEC Labs (Cupertino, California) in summer 2007, 2008, and 2009. Research Overview Dr. Wangs primary research interest lies in data mining, information retrieval, and machine learning for improving document understanding. In particular, her research goal is to help users to better understand and utilize large real document data sets via document clustering, summarization, and storyline generation. She also works on research topics related to social network analytics, bioinformatics, music information retrieval, recommendation systems, and malware detection. Publications Book Chapters Tao Li, Mitsunori Ogihara, Bo Shao, and Dingding Wang. Machine Learning Approaches for Music Information Retrieval . In M. J. Er and Y. Zhou, eds., Machine Learning , In-Tech Education and Publishing, 2009, ISBN 978-953-7619-55-4. Journal Papers John Renaud, Scott Britton, Dingding Wang, Mitsunori Ogihara. Mining library and university data to understand library use patterns. In The Electronic Library 33(3):355-372, 2015. Dingding Wang, Shenghuo Zhu, Tao Li, and Yihong Gong. Comparative Document Summarization via Discriminative Sentence Selection . In ACM Transactions on Knowledge Discovery from Data (ACM TKDD) , 6(3):12:1-18, 2013. Dingding Wang, Shenghuo Zhu, Tao Li. SumView: A Web-Based Engine for Summarizing Product Reviews and Customer Opinions . In Expert Systems and Applications ,40(1):27-33, Dingding Wang and Tao Li. Weighted Consensus Multi-Document Summarization . In Information Processing & Management (IPM) , 48(3):513-523, 2012. Lei Li, Dingding Wang, Shunzhi Zhu, and Tao Li. Personalized News Recommendation: A Review and An Experimental Investigation . In Journal of Computer Science and Technology , 26(5):754-766, 2011 Dingding Wang, Shenghuo Zhu, Tao Li, Yun Chi, and Yihong Gong. Integrating Document Clustering and Multi-Document Summarization . In ACM Transactions on Knowledge Dis covery from Data (ACM TKDD) , 5(3):14:1-26, 2011. Dingding Wang, Shenghuo Zhu, Tao Li, and Yihong Gong. iHelp: An Intelligent Online Helpdesk System . In IEEE Transactions on Systems, Man, and Cybernetics: Part B , 41(1):173-182, 2010. Shunzhi Zhu, Dingding Wang, and Tao Li. Data Clusteirng with Size Constraints . In Knowledge-based Systems , 23(8): 883-889, 2010. Shenghuo Zhu, Dingding Wang, Kai Yu, Tao Li, and Yihong Gong. Feature Selection for Gene Expression using Model-based Entropy . In IEEE/ACM Transactions on Computational Biol ogy and Bioinformatics , 7(1): 25-36, 2010. Yi Zhang, Dingding Wang, and Tao Li. LIBGS: A MATLAB Softeware Package For Gene Selection . In International Journal of Data Mining and Bioinformatics , 4(3): 348-355, 2010. Bo Shao, Dingding Wang, Tao Li, and Mitsunori Ogihara. Music Recommendation Based on Acoustic Features and User Access Patterns . In IEEE Transactions on Audio, Speech and Language Processing , 17(8):1602-1611, 2009. Yanfang Ye, Dingding Wang, Tao Li, and Dongyi Ye. An Intelligent PE-Malware Detection System Based on Association Mining . In Journal in Computer Virology , 4(4):323-334, 2008. Conference Papers Dingding Wang, Sahar Sohangir, and Tao Li. Update Summarization using Semi-Supervised Learning Based on Hellinger Distance. In Proceedings of the 24th ACM Conference on Information and Knowledge Management (CIKM 2015) , to appear. Longhui Zhang, Lei Li, Tao Li, and Dingding Wang. PatentDom: Analyzing Patent Relationships on Multi-View Patent Graphs . In Proceedings of the 23rd ACM Conference on Information and Knowledge Management (CIKM 2014) , 2014. Teng Zhang, Ji Wu, Dingding Wang, and Tao Li. Audio Retrieval Based on Perceptual Similarity . In Proceedings of 10th IEEE International Conference on Collaborative Computing: Net working, Applications and Worksharing (CollaborateCom 2014) , invited paper, 2014. Dingding Wang, Tao Li, and Mitsunori Ogihara. Generating Pictorial Storylines via Minimum- Weight Connected Dominating Set Approximation in Multi-view Graphs . In Proceedings of the Twenty-Sixth AAAI Conference on Arti_cial Intelligence (AAAI 2012) , pages 683-690, 2012. Chen Lin, Chun Lin, Jingxuan Li, Dingding Wang, Yang Chen, and Tao Li. Generating Event Storyline from Microblogs . In Proceedings of the 21st ACM Conference on Information and Knowledge Management (CIKM 2012) , pages 175-184, 2012. Dingding Wang, Mitsunori Ogihara, Erliang Zeng, and Tao Li. Combining Gene Expression Profiles and Protein-Protein Interactions for Identifying Functional Modules . In Pro ceedings of 11th International Conference on Machine Learning and Applications (ICMLA 2012) , pages 114-119, 2012. Dingding Wang and Mitsunori Ogihara. Potential Relationship Discovery in Tag-Aware Music Style Clustering and Artist Social Networks . In Proceedings of the 12th International Society for Music Information Retrieval Conference (ISMIR 2011), pages 435-440, 2011. Lei Li, Dingding Wang, Tao Li, Daniel Knox, and Balaji Padmanabhan. SCENE : A Scalable Two-Stage Personalized News Recommendation System . In Proceedings of the 34th Annual ACM SIGIR Conference (SIGIR 2011), pages 125-134, 2011. Yi Zhang, Dingding Wang, and Tao Li. iDVS: An Interactive Multi-Document Visual Summarization System . In Proceedings of European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2011), pages 569-584, 2011. Dingding Wang, Tao Li, and Chris Ding. Weighted Feature Subset Non-Negative Matrix Factorization and its Applications to Document Understanding . In Proceedings of 2010 IEEE International Conference on Data Mining (ICDM 2010), pages 541-550, 2010. Dingding Wang and Tao Li. Document Update Summarization using Incremental Hierarchical Clustering . In Proceedings of the Conference on Information and Knowledge Management (CIKM 2010), pages 279-287, 2010. Chao Shen, Dingding Wang, and Tao Li. Topic Aspect Analysis for Multi-Document Summarization . In Proceedings of the Conference on Information and Knowledge Management (CIKM 2010), pages 1545-1548, 2010. Dingding Wang, Tao Li and Mitsunori Ogihara. Are Tags Better Than Audio? The Effect of Joint Use of Tags and Audio Content Features for Artistic Style Clustering . In Pro ceedings of the Eleventh International Society for Music Information Retrieval Conference (ISMIR 2010), pages 57-62, 2010. Dingding Wang, Shenghuo Zhu, Tao Li, and Yihong Gong. Comparative Document Summarization via Discriminative Sentence Selection . In Proceedings of the Conference on Informa tion and Knowledge Management (CIKM 2009), pages 1963-1966, 2009. Chris Ding, Tao Li, and Dingding Wang. Label Propagation on K-Partite Graphs . In Pro ceedings of the 8th International Conference on Machine Learning and Applications (ICMLA 2009), pages 273-278, 2009. Dingding Wang, Chris Ding, and Tao Li. K-Subspace Clustering . In Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2009), pages 506-521, 2009. Dingding Wang, Shenghuo Zhu,Tao Li, and Yihong Gong. Multi-document Summarization using Sentence-based Topic Models . In Proceedings of the 47th Annual Meeting of the Association for Computational Linguistics (ACL 2009), pages 297-300, 2009. Dingding Wang, Shenghuo Zhu, Tao Li, Yun Chi, and Yihong Gong. Integrating clustering and multi-document summarization to improve document understanding . In Proceedings of the Conference on Information and Knowledge Management (CIKM 2008), pages 1435-1436, 2008. Shenghuo Zhu, Tao Li, Zhiyuan Chen, Dingding Wang, and Yihong Gong. Dynamic Active Probing of Helpdesk Databases . In Proceedings of the International Conference on Very Large Data Bases (VLDB 2008), pages 748-760, 2008. Dingding Wang, Tao Li, Shenghuo Zhu, and Chris Ding. Multi-Document Summarization via Sentence-Level Semantic Analysis and Symmetric Matrix Factorization . In Proceedings of the International ACM SIGIR Conference (SIGIR 2008), pages 307-314, 2008. Yanfang Ye, Dingding Wang, Tao Li, and Dongyi Ye. IMDS: Intelligent Malware Detection System . In Proceedings of ACM International Conference on Knowledge Discovery and Data Min ing , (KDD 2007), pages 1043-1047, 2007. Short Papers Dingding Wang, Mitsunori Ogihara, and Tao Li. Summarizing the Differences from Microblogs . In Proceedings of the 35th ACM SIGIR Conference (SIGIR 2012) , pages 1147-1148. Dingding Wang and Tao Li. Many are Better Than One: Improving Multi-Document Summarization via Weighted Consensus . In Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2010), pages 809-810, 2010. Yi Zhang, Dingding Wang, and Tao Li. An Interactive Multi-Document Summarization System Using Visualization . In Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2010), pages 857-858, Lei Li, Dingding Wang, Chao Shen, and Tao Li. Ontology-Enriched Multi-Document Summarization in Disaster Management . In Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2010), pages 819-820, 2010. Dingding Wang, Li Zheng, Tao Li, and Yi Deng. Evolutionary Document Summarization for Disaster Management . In Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2009), pages 680-681, 2009. Patents Multi-Document Summarization Utilizing Document Clustering. US Patent Issued#8,402,369. March 19, 2013. Comparative Document Summarization with Discriminative Sentence Selection, US PatentPending # 12/629,046, July 22, 2010. Services Local Arrangement Chair of IEEE BIBE 2014. Registration Chair of ISMIR 2011. Program committees of ICSC 2015, CIKM 2012, EMNLP 2010, ICMLA 2011. Journal reviewers of IEEE Transactions on Knowledge and Data Engineering (TKDE), Knowledge and Information Systems (KAIS), ACM Transactions on Intelligent Systems and Technology (TIST), Computational Intelligence, International Journal of Machine Learning and Cybernetics, International Journal of Intelligent Systems Technologies and Applications, Theory of Computer Science, Central European Journal of Computer Science. Invited Talks Document Summarization Systems. The 1st International Workshop on Collaborative Big Data (C-Big), October 2014. Document Understanding using Data Mining and machine Learning Techniques. Xerox Innovation Group, January 2011. Teaching COP 3540 Introduction to Database Structures (Spring 2015, Fall 2015) Course Syllabus: COP3540 SPRING 2015 COT 6930 Information Retrieval (Fall 2015) Course syllabus: COT6930 Fall 2015-new diff --git a/src/data/compiled_bios/3802.txt b/src/data/compiled_bios/3802.txt new file mode 100644 index 0000000000..671a31f3c1 --- /dev/null +++ b/src/data/compiled_bios/3802.txt @@ -0,0 +1 @@ + Karl Weiss Adjunct Professor 777 Glades Road, EE 403 Boca Raton, FL 33431-0991 p: 561.297.3855 kweiss6@fau.edu Education Ph.D., Florida Atlantic University Field of Expertise Transfer Learning Algorithms . diff --git a/src/data/compiled_bios/3803.txt b/src/data/compiled_bios/3803.txt new file mode 100644 index 0000000000..357e983372 --- /dev/null +++ b/src/data/compiled_bios/3803.txt @@ -0,0 +1 @@ + KwangSoo Yang Home Florida Atlantic University Home Research Teaching Publications Home Research Teaching Current Projects Publications Students Group Meeting Configuration DataSet KwangSoo Yang KwangSoo Yang is an assistant professor in the Department of Computer and Electrical Engineering and Computer Science at Florida Atlantic University. yangk@fau.edu (561) 297-1205 address: 777 Glades Road, EE 428 Boca Raton, FL 33431-0991 Curriculum vitae Education Ph.D., University of Minnesota MS., University of Minnesota BS., Yonsei University Research Spatial Database Spatial Data Mining Graph Algorithm Teaching Fall 2019: COP 3540 Introduction to Database Structures more .. Synerg istic Activities TPC member for GraphSM 2017 PC member for ACM SIGSPATIAL 2016 Editorial Board Member of Korea Spatial Information Society Jouranl / Conference Paper Review IEEE Transactions on Knowledge and Data Engineering (TKDE) International Journal of Geographical Information Science (IJGIS) GeoInformatica International Conference on Advances in Geographic Information Systems Spatial Database and DataMining Application 1) Evacuation Route Planning (A Dartboard Network Cut Based Approach to Evacuation Route Planning) Click the image to see the application (Note that the server is very slow due to the limited capacities of cpu and memory) 2) Florida Department of Transportation Performance Assessment & Monitoring System (FDOT PAMS) Click the image to see the application 3) Traffic Map Evaluation Tool for TMC Applications Click the image to see the application 4) Florida Department of Transportation Performance Assessment & Monitoring System (FDOT PAMS) Click here to see the application FAU DEPARTMENT OF COMPUTER & ELECTRICAL ENGINEERING AND COMPUTER SCIENCE 2015 Florida Atlantic University. An Equal Opportunity/Equal Access Institution. diff --git a/src/data/compiled_bios/3804.txt b/src/data/compiled_bios/3804.txt new file mode 100644 index 0000000000..902834d6cc --- /dev/null +++ b/src/data/compiled_bios/3804.txt @@ -0,0 +1 @@ + Xingquan (Hill) Zhu Professor Department of Computer and Electrical Engineering and Computer Science 777 Glades Road, EE 509 Boca Raton, FL 33431-0991 p: 561.297.3452 xzhu3@fau.edu Professor Department of Computer and Electrical Engineering and Computer Science 777 Glades Road, EE 509 Boca Raton, FL 33431-0991 p: 561.297.3452 xzhu3@fau.edu Professor Department of Computer and Electrical Engineering and Computer Science 777 Glades Road, EE 509 Boca Raton, FL 33431-0991 p: 561.297.3452 xzhu3@fau.edu ProfessorDepartment of Computer and Electrical Engineering and Computer Science777 Glades Road, EE 509Boca Raton, FL 33431-0991p: 561.297.3452 xzhu3@fau.edu xzhu3@fau.eduEducation Ph.D., Computer Science, Fudan University, China Ph.D., Computer Science, Fudan University, ChinaResearch Interests Data Mining and Machine Learning Information Retrieval Bioinformatics Data Mining and Machine LearningInformation RetrievalBioinformaticsResearch Sites Bidtellect Laboratory Personal Site Bidtellect Laboratory Bidtellect Laboratory Personal Site Personal SiteCurrent Sponsored Research FAU Bidtellect Laboratory - Industry Research Collaboration Bidtellect Inc. Lead Lab Director: Xingquan Zhu 2017-2022 $300,000 NSF I/UCRC: Application of Common Machine Learning Algorithms for Uses Cases in Auto Industry Phase 2 National Science Foundation (NSF I/UCRC, JM Family Enterprises, Inc.) PI: Dingding Wang Co-PIs: Xingquan Zhu, and Borko Furht 2017-2018 $60,087 Real-Time Bidding Price Optimization Bidtellect, Inc. PI: Xingquan Zhu 20162018 $90,000 FAU Bidtellect Laboratory - Industry Research Collaboration Bidtellect Inc. Lead Lab Director: Xingquan Zhu 2017-2022 $300,000 Bidtellect Inc. Lead Lab Director: Xingquan Zhu 2017-2022 $300,000 Bidtellect Inc.Lead Lab Director: Xingquan Zhu Xingquan Zhu2017-2022$300,000NSF I/UCRC: Application of Common Machine Learning Algorithms for Uses Cases in Auto Industry Phase 2 National Science Foundation (NSF I/UCRC, JM Family Enterprises, Inc.) PI: Dingding Wang Co-PIs: Xingquan Zhu, and Borko Furht 2017-2018 $60,087 National Science Foundation (NSF I/UCRC, JM Family Enterprises, Inc.) PI: Dingding Wang Co-PIs: Xingquan Zhu, and Borko Furht 2017-2018 $60,087 National Science Foundation (NSF I/UCRC, JM Family Enterprises, Inc.)PI: Dingding WangCo-PIs: Xingquan Zhu, and Borko FurhtXingquan Zhu2017-2018$60,087Real-Time Bidding Price Optimization Bidtellect, Inc. PI: Xingquan Zhu 20162018 $90,000 Bidtellect, Inc. PI: Xingquan Zhu 20162018 $90,000 Bidtellect, Inc.PI: Xingquan Zhu Xingquan Zhu20162018$90,000 previous sponsored research previous sponsored research previous sponsored researchRecent Publications Book Book Xingquan Zhu, Haicheng Tao, Zhiang Wu, Jie Cao, Kris Kalish, and Jeremy Kayne, "Fraud Prevention in Digital Advertising, Springer Briefs in Computer Science", ISBN 978-3-319-56792-1, 2017. Xingquan Zhu, Haicheng Tao, Zhiang Wu, Jie Cao, Kris Kalish, and Jeremy Kayne, "Fraud Prevention in Digital Advertising, Springer Briefs in Computer Science", ISBN 978-3-319-56792-1, 2017.Xingquan ZhuFraud Prevention in Digital Advertising, Springer Briefs in Computer Science Journal Articles (Peer Reviewed) Journal Articles (Peer Reviewed) Journal Articles (Peer Reviewed) Journal Articles (Peer Reviewed) Jia Wu, Shirui Pan, Xingquan Zhu, Chengqi Zhang, and Philip S. Yu, "Multiple Structure-View Learning for Graph Classification, IEEE Transactions on Neural Networks and Learning Systems," Accepted, In Press. Jia Wu, Shirui Pan, Xingquan Zhu, Chengqi Zhang, and Xindong Wu, "Towards Multi-instance Learning with Discriminative Bag Mapping. IEEE Transactions on Knowledge and Data Engineering, Accepted," In Press. Yisen Wang, Shu-Tao Xia, Qingtao Tang, Jia Wu, and Xingquan Zhu, "A Novel Consistent Random Forest Framework: Bernoulli Random Forests, IEEE Transactions on Neural Networks and Learning Systems," Accepted, In Press. Jia Wu, Shirui Pan, Xingquan Zhu, Chengqi Zhang, and Philip S. Yu, "Multiple Structure-View Learning for Graph Classification, IEEE Transactions on Neural Networks and Learning Systems," Accepted, In Press.Xingquan ZhuMultiple Structure-View Learning for Graph Classification, IEEE Transactions on Neural Networks and Learning SystemsJia Wu, Shirui Pan, Xingquan Zhu, Chengqi Zhang, and Xindong Wu, "Towards Multi-instance Learning with Discriminative Bag Mapping. IEEE Transactions on Knowledge and Data Engineering, Accepted," In Press. Xingquan ZhuTowards Multi-instance Learning with Discriminative Bag Mapping. IEEE Transactions on Knowledge and Data Engineering, AcceptedYisen Wang, Shu-Tao Xia, Qingtao Tang, Jia Wu, and Xingquan Zhu, "A Novel Consistent Random Forest Framework: Bernoulli Random Forests, IEEE Transactions on Neural Networks and Learning Systems," Accepted, In Press.Xingquan ZhuA Novel Consistent Random Forest Framework: Bernoulli Random Forests, IEEE Transactions on Neural Networks and Learning Systems read more read more read more FAU, College of Engineering & Computer Science, 777 Glades Road EE 308, Boca Raton, FL 33431-0991. 561.297.3400. 2018 Florida Atlantic University. An Equal Opportunity/Equal Access Institution. FAU, College of Engineering & Computer Science, 777 Glades Road EE 308, Boca Raton, FL 33431-0991. 561.297.3400. 2018 Florida Atlantic University. An Equal Opportunity/Equal Access Institution. FAU, College of Engineering & Computer Science, 777 Glades Road EE 308, Boca Raton, FL 33431-0991. 561.297.3400. 2018 Florida Atlantic University. An Equal Opportunity/Equal Access Institution.FAU, College of Engineering & Computer Science, 777 Glades Road EE 308, Boca Raton, FL 33431-0991. 561.297.3400. 2018 Florida Atlantic University. An Equal Opportunity/Equal Access Institution.// $(document).ready(function() { directedit(); }); . diff --git a/src/data/compiled_bios/3805.txt b/src/data/compiled_bios/3805.txt new file mode 100644 index 0000000000..2cd4090756 --- /dev/null +++ b/src/data/compiled_bios/3805.txt @@ -0,0 +1 @@ + Hanqi Zhuang Associate Chair and Professor Department of Computer and Electrical Engineering and Computer Science 777 Glades Road, EE 418 Boca Raton, FL 33431-0991 p: 561.297.3413 zhuang@fau.edu Associate Chair and Professor Department of Computer and Electrical Engineering and Computer Science 777 Glades Road, EE 418 Boca Raton, FL 33431-0991 p: 561.297.3413 zhuang@fau.edu Associate Chair and Professor Department of Computer and Electrical Engineering and Computer Science 777 Glades Road, EE 418 Boca Raton, FL 33431-0991 p: 561.297.3413 zhuang@fau.edu Associate Chair and Professor Department of Computer and Electrical Engineering and Computer Science777 Glades Road, EE 418Boca Raton, FL 33431-0991p: 561.297.3413 zhuang@fau.edu zhuang@fau.eduEducation Ph.D., Electrical Engineering, Florida Atlantic University, 1989 M.S., Electrical Engineering, Florida Atlantic University, 1986 B.S., Electrical Engineering, Shanghai University, 1982 Ph.D., Electrical Engineering, Florida Atlantic University, 1989M.S., Electrical Engineering, Florida Atlantic University, 1986B.S., Electrical Engineering, Shanghai University, 1982Research Interests Signal Processing and Machine Learning Robotics and Computer Vision Biomedical Applications: Cancer Diagnosis, Seizure Detection, Emotion Detection and Classification Marine Animal Sound Detection and Classification Signal Processing and Machine LearningRobotics and Computer VisionBiomedical Applications: Cancer Diagnosis, Seizure Detection, Emotion Detection and ClassificationMarine Animal Sound Detection and ClassificationCurrent Sponsored Research An Articulated Community College-University Framework for Increasing Graduation rate of Hispanic and Low-Income Students in Computer Science Department of Education (DOE) PI and Project Director: Ali Zilouchian Co-PIs: Nancy Romance, Nurgun Erdol,Hanqi Zhuang Oct. 2016 Sept. 2021 $4,456,706 Phase II I/UCRC Florida Atlantic University Site: Center for Health Organization Transformation NSF PI: Ankur Agarwal Co-PIs: Hanqi Zhuang, G. Gumus, L. Dunphy, R. Behara July 15, 2016 July 14, 2021 $300,000 An Articulated Community College-University Framework for Increasing Graduation rate of Hispanic and Low-Income Students in Computer Science Department of Education (DOE) PI and Project Director: Ali Zilouchian Co-PIs: Nancy Romance, Nurgun Erdol,Hanqi Zhuang Oct. 2016 Sept. 2021 $4,456,706 Department of Education (DOE) PI and Project Director: Ali Zilouchian Co-PIs: Nancy Romance, Nurgun Erdol,Hanqi Zhuang Oct. 2016 Sept. 2021 $4,456,706 Department of Education (DOE)PI and Project Director: Ali ZilouchianCo-PIs: Nancy Romance, Nurgun Erdol,Hanqi ZhuangOct. 2016 Sept. 2021$4,456,706Phase II I/UCRC Florida Atlantic University Site: Center for Health Organization Transformation NSF PI: Ankur Agarwal Co-PIs: Hanqi Zhuang, G. Gumus, L. Dunphy, R. Behara July 15, 2016 July 14, 2021 $300,000 NSF PI: Ankur Agarwal Co-PIs: Hanqi Zhuang, G. Gumus, L. Dunphy, R. Behara July 15, 2016 July 14, 2021 $300,000 NSFPI: Ankur AgarwalCo-PIs: Hanqi Zhuang, G. Gumus, L. Dunphy, R. BeharaJuly 15, 2016 July 14, 2021$300,000 previous sponsored research previous sponsored research previous sponsored researchRefereed Journal Articles1 1 Muhamed A., H. Zhuang, and A. Ali, An Approach for Facial Expression Recognition, Int Journal of Biometrics, 2017 Online. Esfahanian, M., H. Zhuang, N. Erdol, and E. Gerstein, Two-stage Detection of North Atlantic Right Whale Upcalls using Local Binary Patterns and Machine Learning Algorithms, J. Applied Acoustics, v 120, May 2017, pp 158-166. Esfahanian, M., H. Zhuang, and N. Erdol, Sparse Representation for Classification of Dolphin Whistles by Type, J. Acoustical Society of America EL, Vol. 136 (1), July, 2014. Esfahanian, M., H. Zhuang, and N. Erdol, On Contour-based Classification of Dolphin Whistles by Type, J. Applied Acoustics, Vol. 76, pp. 274-279, Feb 2014. Muhamed A., H. Zhuang, and A. Ali, An Approach for Facial Expression Recognition, Int Journal of Biometrics, 2017 Online.H. ZhuangAn Approach for Facial Expression RecognitionEsfahanian, M., H. Zhuang, N. Erdol, and E. Gerstein, Two-stage Detection of North Atlantic Right Whale Upcalls using Local Binary Patterns and Machine Learning Algorithms, J. Applied Acoustics, v 120, May 2017, pp 158-166.H. ZhuangTwo-stage Detection of North Atlantic Right Whale Upcalls using Local Binary Patterns and Machine Learning AlgorithmsEsfahanian, M., H. Zhuang, and N. Erdol, Sparse Representation for Classification of Dolphin Whistles by Type, J. Acoustical Society of America EL, Vol. 136 (1), July, 2014.H. ZhuangSparse Representation for Classification of Dolphin Whistles by TypeEsfahanian, M., H. Zhuang, and N. Erdol, On Contour-based Classification of Dolphin Whistles by Type, J. Applied Acoustics, Vol. 76, pp. 274-279, Feb 2014.H. ZhuangOn Contour-based Classification of Dolphin Whistles by Type 1 All the Journals listed are international journals and papers published are reviewed by anonymous reviewers.1 read more read more read more FAU, College of Engineering & Computer Science, 777 Glades Road EE 308, Boca Raton, FL 33431-0991. 561.297.3400. 2018 Florida Atlantic University. An Equal Opportunity/Equal Access Institution. FAU, College of Engineering & Computer Science, 777 Glades Road EE 308, Boca Raton, FL 33431-0991. 561.297.3400. 2018 Florida Atlantic University. An Equal Opportunity/Equal Access Institution. FAU, College of Engineering & Computer Science, 777 Glades Road EE 308, Boca Raton, FL 33431-0991. 561.297.3400. 2018 Florida Atlantic University. An Equal Opportunity/Equal Access Institution.FAU, College of Engineering & Computer Science, 777 Glades Road EE 308, Boca Raton, FL 33431-0991. 561.297.3400. 2018 Florida Atlantic University. An Equal Opportunity/Equal Access Institution.// $(document).ready(function() { directedit(); }); . diff --git a/src/data/compiled_bios/3806.txt b/src/data/compiled_bios/3806.txt new file mode 100644 index 0000000000..cbc2edf187 --- /dev/null +++ b/src/data/compiled_bios/3806.txt @@ -0,0 +1 @@ + Ali Zilouchian Professor, Dir. CAPTURE/HSI Title III Project Department of Computer and Electrical Engineering and Computer Science 777 Glades Road, EE 514 Boca Raton, FL 33431-0991 p: 561.297.0432 zilouchi@fau.edu Professor, Dir. CAPTURE/HSI Title III Project Department of Computer and Electrical Engineering and Computer Science 777 Glades Road, EE 514 Boca Raton, FL 33431-0991 p: 561.297.0432 zilouchi@fau.edu Professor, Dir. CAPTURE/HSI Title III Project Department of Computer and Electrical Engineering and Computer Science 777 Glades Road, EE 514 Boca Raton, FL 33431-0991 p: 561.297.0432 zilouchi@fau.edu Professor, Dir. CAPTURE/HSI Title III Project Department of Computer and Electrical Engineering and Computer Science777 Glades Road, EE 514Boca Raton, FL 33431-0991p: 561.297.0432 zilouchi@fau.edu zilouchi@fau.eduEducation Ph.D., Electrical Engineering, George Washington University, D.C., 1986 M.S., Electrical Engineering, Northrop University, Inglewood, California, 1978 B.S., Electrical Engineering, University of Science & Technology, Tehran 1976 Ph.D., Electrical Engineering, George Washington University, D.C., 1986M.S., Electrical Engineering, Northrop University, Inglewood, California, 1978B.S., Electrical Engineering, University of Science & Technology, Tehran 1976Research Interests STEM Education Alternative Energy Multidimensional Signal Processing Evolutionary Computation Intelligent Control - Neural Networks and Fuzzy Logic STEM EducationAlternative EnergyMultidimensional Signal ProcessingEvolutionary ComputationIntelligent Control - Neural Networks and Fuzzy LogicCurrent Sponsored Research An Articulated Community College-University Framework for Increasing Graduation rate of Hispanic and Low-Income Students in Computer Science Department of Education (DOE) PI and Project Director: Ali Zilouchian Co-PI: Nancy Romance Oct. 2016 Sept. 2021 $4,456,706 CAPTURE Project - Computer Accelerated Pipeline to Unlock Regional Excellence Florida Board of Governors PI: Ali Zilouchian Co-PIs: Mohammad Ilyas, Debra Floyd, Nurgun Erdol and C. Coley March 2014 June 2016 $3,517,044 An Articulated Community College-University Framework for Increasing Graduation rate of Hispanic and Low-Income Students in Computer Science Department of Education (DOE) PI and Project Director: Ali Zilouchian Co-PI: Nancy Romance Oct. 2016 Sept. 2021 $4,456,706 Department of Education (DOE) PI and Project Director: Ali Zilouchian Co-PI: Nancy Romance Oct. 2016 Sept. 2021 $4,456,706 Department of Education (DOE)PI and Project Director: Ali ZilouchianCo-PI: Nancy RomanceOct. 2016 Sept. 2021$4,456,706CAPTURE Project - Computer Accelerated Pipeline to Unlock Regional Excellence Florida Board of Governors PI: Ali Zilouchian Co-PIs: Mohammad Ilyas, Debra Floyd, Nurgun Erdol and C. Coley March 2014 June 2016 $3,517,044 Florida Board of Governors PI: Ali Zilouchian Co-PIs: Mohammad Ilyas, Debra Floyd, Nurgun Erdol and C. Coley March 2014 June 2016 $3,517,044 Florida Board of GovernorsPI: Ali ZilouchianCo-PIs: Mohammad Ilyas, Debra Floyd, Nurgun Erdol and C. ColeyMarch 2014 June 2016$3,517,044 previous sponsored research previous sponsored research previous sponsored researchRecent Publications A. Zilouchian, Targeted Educational Attainment (TEAm) Grant Initiative, Computer Accelerated Pipeline To Unlock Regional Excellence (CAPTURE)," State University System of Florida, Board of Governors Report, 2015, 2016, 2017. A. Zilouchian, Targeted Educational Attainment (TEAm) Grant Initiative, Computer Accelerated Pipeline To Unlock Regional Excellence (CAPTURE)," State University System of Florida, Board of Governors Report, 2015, 2016, 2017.A. ZilouchianTargeted Educational Attainment (TEAm) Grant Initiative, Computer Accelerated Pipeline To Unlock Regional Excellence (CAPTURE)Fully Refereed Conferences Zilouchian, A., and A. Saengrung, "Design and Implementation of Neuro-Fuzzy Controllers for PEM Fuel Cells, 2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE)-accepted, May 2017. Genesis Alvarez, Hadis Moradi and Ali Zilouchian, "Modeling a Grid-connected PV/Battery Micro-grid System with MPPT Controller," pp.1129-1134, September 2016. E. Limouchi, A. Zilouchian and I. Mohghob, "OFDMA-based WiMAX Connection Admission Control Based on Fuzzy Logic Controller, Proceeding of International Wireless Communications and Mobil Computing, pp.1129-1134, September 2016. Zilouchian, A., and A. Saengrung, "Design and Implementation of Neuro-Fuzzy Controllers for PEM Fuel Cells, 2017 IEEE 30th Canadian Conference on Electrical and Computer Engineering (CCECE)-accepted, May 2017.Zilouchian, A.Design and Implementation of Neuro-Fuzzy Controllers for PEM Fuel CellsGenesis Alvarez, Hadis Moradi and Ali Zilouchian, "Modeling a Grid-connected PV/Battery Micro-grid System with MPPT Controller," pp.1129-1134, September 2016.Ali ZilouchianModeling a Grid-connected PV/Battery Micro-grid System with MPPT ControllerE. Limouchi, A. Zilouchian and I. Mohghob, "OFDMA-based WiMAX Connection Admission Control Based on Fuzzy Logic Controller, Proceeding of International Wireless Communications and Mobil Computing, pp.1129-1134, September 2016.A. ZilouchianOFDMA-based WiMAX Connection Admission Control Based on Fuzzy Logic Controller read more read more read more FAU, College of Engineering & Computer Science, 777 Glades Road EE 308, Boca Raton, FL 33431-0991. 561.297.3400. 2018 Florida Atlantic University. An Equal Opportunity/Equal Access Institution. FAU, College of Engineering & Computer Science, 777 Glades Road EE 308, Boca Raton, FL 33431-0991. 561.297.3400. 2018 Florida Atlantic University. An Equal Opportunity/Equal Access Institution. FAU, College of Engineering & Computer Science, 777 Glades Road EE 308, Boca Raton, FL 33431-0991. 561.297.3400. 2018 Florida Atlantic University. An Equal Opportunity/Equal Access Institution.FAU, College of Engineering & Computer Science, 777 Glades Road EE 308, Boca Raton, FL 33431-0991. 561.297.3400. 2018 Florida Atlantic University. An Equal Opportunity/Equal Access Institution.// $(document).ready(function() { directedit(); }); . diff --git a/src/data/compiled_bios/3807.txt b/src/data/compiled_bios/3807.txt new file mode 100644 index 0000000000..5dc702daba --- /dev/null +++ b/src/data/compiled_bios/3807.txt @@ -0,0 +1 @@ + Tim Althoff - Assistant Professor in Computer Science at University of Washington Tim Althoff I develop computational methods to improve human well-being, combining techniques from data science, social network analysis, and natural language processing. My research leverages detailed behavioral data from smartphones, smartwatches, and social interactions at the scale of billions of actions taken by millions of people, to realize new types of scientific approaches that generate actionable insights about our lives, health, and happiness. I am looking for PhD students, so if you're interested please apply to UW Paul G. Allen School of Computer Science & Engineering . Go Huskies! Recent highlights Large-scale physical activity data reveal worldwide activity inequality Nature 2017 NY Times Altmetric Top 100 Large-scale Analysis of Counseling Conversations: An Application of Natural Language Processing to Mental Health Best Paper, IMIA 2017 BBC TV NY Times Influence of Pokmon Go on Physical Activity: Study and Implications #1 most tweeted JMIR article 2016 CNN Wall Street Journal Publications Teaching Biographical Sketch 2019 Goal-setting And Achievement In Activity Tracking Apps: A Case Study Of MyFitnessPal Mitchell Gordon, Tim Althoff, Jure Leskovec WWW 2019 pdf forthcoming 2018 Learning Individualized Cardiovascular Responses from Large-scale Wearable Sensors Data Haraldur T. Hallgrmsson, Filip Jankovic, Tim Althoff, Luca Foschini NIPS ML4H 2018 pdf Data Science for Human Well-being Tim Althoff Ph.D. Thesis, Stanford University thesis defense Modeling Interdependent and Periodic Real-World Action Sequences Takeshi Kurashima, Tim Althoff, Jure Leskovec WWW 2018 pdf Ill Be Back: On the Multiple Lives of Users of a Mobile Activity Tracking Application Zhiyuan Lin, Tim Althoff, Jure Leskovec WWW 2018 pdf Modeling Individual Cyclic Variation in Human Behavior Emma Pierson, Tim Althoff, Jure Leskovec WWW 2018 pdf Psychomotor function measured via online activity predicts motor vehicle fatality risk Tim Althoff, Eric Horvitz, Ryen W. White NPJ Digital Medicine (1) 2018 pdf suppl. inf. method details 2017 Large-scale physical activity data reveal worldwide activity inequality Tim Althoff, Rok Sosic, Jennifer L. Hicks, Abby C. King, Scott L. Delp, Jure Leskovec Nature (547.7663) 2017 pdf suppl. inf. Nature project press releases dataset Population-Scale Pervasive Health Tim Althoff IEEE Pervasive Computing 2017 pdf Harnessing the Web for Population-Scale Physiological Sensing: A Case Study of Sleep and Performance Tim Althoff, Eric Horvitz, Ryen W. White, Jamie Zeitzer WWW 2017 pdf appendix slides How Gamification Affects Physical Activity: Large-scale Analysis of Walking Challenges in a Mobile Application Ali Shameli, Tim Althoff, Amin Saberi, Jure Leskovec WWW 2017 pdf slides Online Actions with Offline Impact: How Online Social Networks Influence Online and Offline User Behavior Tim Althoff, Pranav Jindal, Jure Leskovec WSDM 2017 pdf slides 2016 Large-scale Analysis of Counseling Conversations: An Application of Natural Language Processing to Mental Health Tim Althoff*, Kevin Clark*, Jure Leskovec (* equal contribution) TACL 2016 IMIA Best Paper Award 2016 pdf slides project dataset Influence of Pokmon Go on Physical Activity: Study and Implications Tim Althoff, Ryen White, Eric Horvitz JMIR 12/06/2016 ( #1 most tweeted JMIR article 2016 ; #5 most tweeted JMIR article all time ) arXiv 10/06/2016 pdf arXiv Quantifying Dose Response Relationships Between Physical Activity and Health Using Propensity Scores Tim Althoff, Rok Sosic, Jennifer L. Hicks, Abby C. King, Scott L. Delp, Jure Leskovec NIPS Workshop on Machine Learning for Health 2016 workshop 2015 TimeMachine: Timeline Generation for Knowledge-Base Entities Tim Althoff, Xin Luna Dong, Kevin Murphy, Safa Alai, Van Dang, Wei Zhang KDD 2015 pdf full version slides poster demo Donor Retention in Online Crowdfunding Communities: A Case Study of DonorsChoose.org Tim Althoff, Jure Leskovec WWW 2015 pdf slides 2014 How to Ask for a Favor: A Case Study on the Success of Altruistic Requests Tim Althoff, Cristian Danescu-Niculescu-Mizil, Dan Jurafsky ICWSM 2014 pdf slides dataset 2013 Analysis and Forecasting of Trending Topics in Online Media Streams Tim Althoff, Damian Borth, Jrn Hees, Andreas Dengel ACM Multimedia 2013 pdf slides Analysis and Forecasting of Trending Topics in Online Media Tim Althoff Master's Thesis, University of Kaiserslautern, Germany April 2013 pdf slides 2012 Detection Bank: An Object Detection Based Video Representation for Multimedia Event Recognition Tim Althoff, Hyun Oh Song, Trevor Darrell ACM Multimedia 2012 pdf poster Sparselet Models for Efficient Multiclass Object Detection Hyun Oh Song, Stefan Zickler, Tim Althoff, Ross Girshick, Mario Fritz, Christopher Geyer, Pedro Felzenszwalb, Trevor Darrell ECCV 2012 pdf project demo video Don't Look Back: Post-hoc Category Detection via Sparse Reconstruction Hyun Oh Song, Mario Fritz, Tim Althoff, Trevor Darrell UC Berkeley, Tech. Rep. UCB/EECS-2012-16 Jan. 2012 pdf archive 2011 Balanced Clustering for Content-based Image Browsing Tim Althoff, Adrian Ulges, Andreas Dengel German Computer Science Society, Informatiktage March 2011 pdf project demo 2010 Scalable Clustering for Hierarchical Content-based Browsing of Large-scale Image Collections Tim Althoff Bachelor's Thesis, University of Kaiserslautern, Germany September 2010 pdf Tim Althoff is an assistant professor in the Paul G. Allen School of Computer Science & Engineering at the University of Washington. His research advances computational methods to improve human well-being, combining techniques from Data Mining, Social Network Analysis, and Natural Language Processing. Tim holds Ph.D. and M.S. degrees from the Computer Science Department at Stanford University, where he worked with Jure Leskovec . Prior to his PhD, Tim obtained M.S. and B.S. degrees from the University of Kaiserslautern, Germany. He has received several fellowships and awards including the SAP Stanford Graduate Fellowship, Fulbright scholarship, German Academic Exchange Service scholarship, the German National Merit Foundation scholarship, and a Best Paper Award by the International Medical Informatics Association. Tims research has been covered internationally by news outlets including BBC, CNN, The Economist, The Wall Street Journal, and The New York Times. UW CSE599: Data Science for Human Well-being (Winter 2018/2019) The popularity of wearable and mobile devices, sensors, and online social networks has generated an explosion of detailed behavioral data. These massive digital traces provide us with an unparalleled opportunity to realize new types of scientific approaches that enable novel insights about our lives, health, and happiness. However, gaining actionable insights from these data requires new computational approaches that turn observational, scientifically weak data into strong scientific results and can computationally test domain theories at scale. Key challenges include appropriate data collection and preparation, computational modeling of constructs in health and social sciences to model domain knowledge and questions, appropriate design of computational experiments and observational studies, and how to infer well-being from noisy raw data, or multimodal data sources. This seminar will review progress and discuss current frontiers in each of these challenges. We will discuss a variety of data sources (e.g., social networks, social interactions, phone data, conversation transcripts) and how to leverage these to improve human well-being (e.g., clinical use, public health, monitoring vs interventions, mental health, global health, design of online communities). Each week will consistent of paper reading, presentation, and discussion. In contrast to the highly-curated presentation of content in a more introductory course, students will be expected to contribute to all aspects of the definition and content of this course. This will include identifying relevant content and contributing to discussion of that content. Over the quarter, students will develop an group research project in the area of data science for human well-being. Course enrollment is limited to 15 students. Please fill out this form to apply for the course before December 7, 2018 (midnight PT). You will receive a response by January 4, 2018 (midnight PT). Assistant Professor Computer Science University of Washington Allen Center #648 185 E Stevens Way NE Seattle, WA 98195 Follow @timalthoff CV Google Scholar linkedin Many thanks to David Jurgens for the site template/inspiration diff --git a/src/data/compiled_bios/3808.txt b/src/data/compiled_bios/3808.txt new file mode 100644 index 0000000000..9cc834357a --- /dev/null +++ b/src/data/compiled_bios/3808.txt @@ -0,0 +1 @@ +Richard Anderson is a Professor in the Department of Computer Science and Engineering at the University of Washington. He graduated with a B.A. in Mathematics from Reed College in 1981, and a Ph.D. in Computer Science from Stanford University in 1985. He joined the University of Washington in 1986, after a one-year Postdoc at the Mathematical Sciences Research Institute in Berkeley, CA. In 1987 he received an NSF Presidential Young Investigator award. He spent the 1993-1994 academic year as a visiting professor at the Indian Institute of Science , in Bangalore, India, and the 2001-2002 academic year a visiting researcher in the Learning Sciences and Technology group at Microsoft Research . While at Microsoft, he led the development of Classroom Presenter , a tool for delivering presentations from the TabletPC. He was a founder of the department's Professional Master's Program and led efforts in Tutored Video Instruction long before MOOC's became popular. He was the 2007 recipient of the UW College of Engineering Faculty Innovator for Teaching Award. He was the department's associate chair for educational programs from 2004 through 2009. He spent 2009-2011 on an extended sabbatical, working at PATH , a Seattle based NGO working on health technologies for low resource environments. He continues to work with the Digital Health Solutions group at PATH on a range of projects including Projecting Health . In 2015 he founded the UW Digital Financial Services research group with support from the BMGF to address challenges in introducing financial technologies in the developing world. Richard Anderson's main research interest is in Computing for the Developing World . He has done a substantial amount of work in educational technology, focusing on the Community Led Video Education model, first in the Digital StudyHall project and later in Projecting Health . He is now managing the Open Data Kit project which is developing mobile data management tools on the Android platform. Other areas of work in ICTD include work on Global Health and Financial Technologies. Previously, he has worked in the theory and implementation of algorithms, including parallel algorithms, computational geometry, and scientific applications. He has also worked on applying model checking to the formal verification of software systems, N-Body simulation, and pen-based computing. diff --git a/src/data/compiled_bios/3809.txt b/src/data/compiled_bios/3809.txt new file mode 100644 index 0000000000..fd2d78f4ea --- /dev/null +++ b/src/data/compiled_bios/3809.txt @@ -0,0 +1 @@ + Ruth E. Anderson Ruth E. Anderson Department of Computer Science & Engineering University of Washington AC101 Paul G. Allen Center, Box 352350 185 Stevens Way Seattle WA 98195-2350 Phone: (206) 616-1742 FAX: (206) 543-2969 Office: 460 Paul G. Allen Center Email: rea at cs.washington.edu Information & Communication Technology for Development Portable Antenatal Ultrasound Platform for Village Midwives Waylon Brunette, Wayne Gerard, Matthew A. Hicks, Alexis Hope, Mitchell Ishimitsu , Pratik Prasad, Ruth E. Anderson, Gaetano Borriello, Beth E. Kolko , Robert Nathan . The 1 st Annual Symposium on Computing for Development (ACM DEV 2010) , London , UK . December 2010. Experiences with a Transportation Information System that Uses Only GPS and SMS Ruth E. Anderson, Waylon Brunette, Erica Johnson, Caitlin Lustig , Anthony Poon , Cynthia Putnam, Odina Salihbaeva , Beth E. Kolko , Gaetano Borriello . The 4th International ACM/IEEE Conference on Information & Communication Technologies and Development (ICTD 2010) , London, UK. December 2010. An Approach to Integrating ICTD Projects into an Undergraduate Curriculum Richard J. Anderson, Ruth E. Anderson, Gaetano Borriello, and Joyojeet Pal. SIGCSE 2010: Technical Symposium on Computer Science Education , Milwaukee, WI, USA . March 2010. Capstone Projects as Community Connectors Ruth E. Anderson , Gaetano Borriello, Hlne Martin, and Leonard Black . Consortium for Computing Sciences in Colleges- Northwestern Conference (CCSC-NW) , Pacific Lutheran University, Tacoma, WA , USA. October 2009. Building a Transportation Information System Using Only GPS and Basic SMS Infrastructure Ruth E. Anderson, Anthony Poon , Caitlin Lustig , Waylon Brunette, Gaetano Borriello, and Beth E. Kolko . The 3rd International ACM/IEEE Conference on Information & Communication Technologies and Development (ICTD 2009) , Doha , Qatar . April 2009. Educational Technology Collaborative Technologies in International Distance Education Richard Anderson, Ruth Anderson, Natalie Linnell , Mansoor Pervaiz , Umar Saif , and Fred Videon . The 13th International Conference on Computer Supported Cooperative Work in Design (CSCWD 2009) , Santiago , Chile . April 2009. Classroom Presenter: Enhancing Interactive Education with Digital Ink Richard Anderson, Ruth Anderson, Peter Davis, Natalie Linnell , Craig Prince, Valentin Razmov , and Fred Videon . IEEE Computer , Volume 40, No. 9, pp. 56-61 (September 2007). Supporting Active Learning and Example Based Instruction with Classroom Technology Richard Anderson, Ruth Anderson, K. M. Davis, Natalie Linnell , Craig Prince and Valentin Razmov . SIGCSE2007: Technical Symposium on Computer Science Education, Covington , KY , USA . March2007. Classroom Presenter A Classroom Interaction System for Active and Collaborative Learning Richard Anderson, Ruth Anderson, Oliver Chung, K. M. Davis, Peter Davis, Craig Prince, Valentin Razmov and Beth Simon., Workshop on the Impact of Pen-Based Technology on Education (WIPTE2006) , Purdue University, West Lafayette, IN, April2006. A Study of Digital Ink Student Artifacts to Inform the Scaling of a Classroom Interaction System Richard Anderson, Ruth Anderson, K. M. Davis, Craig Prince, Valentin Razmov and Beth Simon, Technical Report 2006-10-02, Department of Computer Science and Engineering, University of Washington, Seattle, WA, October2006. Use of Classroom Presenter in Engineering Courses Richard Anderson, Ruth Anderson, Luke McDowell, Beth Simon. Proceedings of 35th ASEE/IEEE Frontiers in Education Conference (FIE2005) , Indianapolis , IN , U.S.A. , October2005. A Study of Diagrammatic Ink in Lecture Richard Anderson, Ruth Anderson, Crystal Hoyer, Craig Prince, Jonathan Su, Fred Videon and Steve Wolfman . Computers and Graphics (special issue on Pen Computing). Volume 29, Issue 4, pp. 480489 (August2005). Preliminary Experiences with a Tablet PC Based System to Support Active Learning in Computer Science Courses. Beth Simon, Ruth Anderson, Crystal Hoyer, Jonathan Su, ITiCSE 2004: Proceedings of the 9th Annual Conference on Innovation and Technology in Computer Science Education, pp. 213217, Leeds , UK . June2004. A Study of Digital Ink in Lecture Presentation Richard J. Anderson, Ruth Anderson, Crystal Hoyer, Steven A. Wolfman . Long Paper, CHI2004: Human Factors in Computing Systems , pp. 567574, Vienna , Austria . April2004. Experiences with a Tablet PC Based Lecture Presentation System in Computer Science Courses. Richard Anderson, Ruth Anderson, Beth Simon, Steven A. Wolfman, Tammy VanDeGrift , and Ken Yasuhara . SIGCSE2004: Technical Symposium on Computer Science Education, pp. 5660, Norfolk , VA , USA . March2004. Slides from Talk: [ PPT ] [ PDF ] Classroom Presentation from the Tablet PC Richard J. Anderson, Ruth Anderson, Tammy VanDeGrift , Steven A. Wolfman, and Ken Yasuhara . ITiCSE 2003: Proceedings of the 8th Annual Conference on Innovation and Technology in Computer Science Education, Thessaloniki , Greece . JuneJuly2003. [ poster (PPT) ] Promoting Interaction in Large Classes with Computer-Mediated Feedback Richard J. Anderson, Ruth Anderson, Tammy VanDeGrift , Steven A. Wolfman, and Ken Yasuhara . Short Paper, CSCL2003: Computer Support for Collaborative Learning , pp. 119123. Bergen , Norway . June2003. Lecture Presentation from the Tablet PC Richard Anderson, Ruth Anderson, Crystal Hoyer, Beth Simon, Fred Videon , and Steve Wolfman . WACE03: Workshop on Advanced Collaborative Environments, Seattle , WA , USA . June2003. Interaction Patterns with a Classroom Feedback System: Making Time For Feedback Richard J. Anderson, Ruth Anderson, Tammy VanDeGrift , Steven A. Wolfman, and Ken Yasuhara . Interactive Poster, CHI2003: Human Factors in Computing Systems , Ft. Lauderdale , FL , USA . April2003. [ poster (PPT) ] [ poster (PDF) ] Computer Science Education CS1/2 Game-Themed Programming Assignments for Faculty Kelvin Sung, Michael Panitz , Rebecca Rosenberg, and Ruth Anderson. Journal of Game Development , Vol. 3, Issue 2, March 2008, pp. 27-47, (invited full-length paper based on SIGCSE 2008 conference paper). Games-Themed Programming Assignments: The Faculty Perspective Kelvin Sung, Michael Panitz , Scott Wallace, Ruth Anderson, and John Nordlinger . SIGCSE2008: Technical Symposium on Computer Science Education, pp. 300-304, Portland , OR , USA . March 2008. Assessing Game-Themed Programming Assignments for CS1/2 Courses Kelvin Sung, Michael Panitz , Rebecca Rosenberg, and Ruth Anderson. Proceedings of the Third International Conference on Game Development in Computer Science Education (GDCSE08) , February2008. Using Edit Distance to Analyze Card Sorts Katherine Deibel , Richard Anderson and Ruth Anderson . Expert Systems: The International Journal of Knowledge Engineering and Neural Networks. Volume 22, No. 3, pp. 129138 (July2005). A multi-institutional investigation of computer science seniors knowledge of programming concepts Laurie Murphy, Renee McCauley, Suzanne Westbrook, et al. Expert Systems: The International Journal of Knowledge Engineering and Neural Networks. Volume 22, No. 3, pp. 147159 (July2005). A multi-institutional, multi-national study of programming concepts using card sort data Kate Sanders, Sally Fincher, and Dennis Bouvier , et al. Expert Systems: The International Journal of Knowledge Engineering and Neural Networks. Volume 22, No. 3, pp. 121128 (July2005). A multi-institutional investigation of computer science seniors' knowledge of programming concepts Laurie Murphy, Renee McCauley, Suzanne Westbrook, et al. SIGCSE2005: Technical Symposium on Computer Science Education , pp. 510514, St. Louis, MO, USA . February2005. Work in Progress: Re-examining Closed Laboratories in Computer Science Courses. Thomas B. Horton, Ruth E. Anderson, and Christopher W. Milner. Proceedings of 34th ASEE/IEEE Frontiers in Education Conference (FIE 2004) , Savannah , GA , U.S.A. , October2004. "My Criterion is: Is it a Boolean?": A card-sort elicitation of students' knowledge of programming constructs Marian Petre , Sally Fincher, and Josh Tenenberg et al., Technical Report 6-03, Computing Laboratory, University of Kent, Canterbury, Kent, UK, June2003. Parallel Computing Cascaded Execution: Speeding Up Unparallelized Execution on Shared-Memory Multiprocessors Ruth E. Anderson, Thu D. Nguyen, and John Zahorjan . Proceedings of International Parallel Processing Symposium (IPPS1999) , pp. 714719. San Juan , Puerto Rico . April1999. (A longer version of this paper is available as Technical Report UW-CSE-98-08-02 .) ZPL vs. HPF: A Comparison of Performance and Programming Style . Calvin Lin, Lawrence Snyder, Ruth Anderson, Bradford L. Chamberlain, Sung- Eun Choi , E Christopher Lewis, and W. Derrick Weathersby , Technical Report UW-CSE-95-11-05, Department of Computer Science and Engineering, University of Washington, Seattle, WA, November1995. UW Presenter Download Site free software for lecture presentation from a Tablet PC. change Group at UW - exploring how technology can improve the lives of underserved populations, especially in the developing world Education and Educational Technology Group at the University of Washington , Seattle Bootstrapping Research in Computer Science Education diff --git a/src/data/compiled_bios/381.txt b/src/data/compiled_bios/381.txt new file mode 100644 index 0000000000..92aa8f6a18 --- /dev/null +++ b/src/data/compiled_bios/381.txt @@ -0,0 +1 @@ +Name: Nguyen, Tien:: Position: Associate Professor:: Degrees: Ph.D. in Computer Science, University of Wisconsin, USA; Pre-doctorate (M.Sc.) in Computer Science, Swiss Federal Institute of Technology, Lausanne, Switzerland (EPFL); B.Sc. in Computer Engineering, Ho Chi Minh City University of Technology, Vietnam; Research Interests: Program Analysis; Big Code Mining and Analysis; Software Evolution and Maintenance; Web and Configurable Code Analysis; Mining Software Repositories; Recent Awards: Four-time Winner of ACM SIGSOFT Distinguished Paper Awards; Litton Industries Professorship Medallion Award; Representative Publications: Trong Duc Nguyen, Anh Tuan Nguyen, Hung Dang Phan, and Tien N. Nguyen, Exploring API Embedding for API Usages and Applications, in Proceedings of the 39th IEEE/ACM International Conference on Software Engineering (IEEE/ACM ICSE 2017), May 20-28, 2017. IEEE CS Press, 2017 (To appear).; Anh Tuan Nguyen, Michael Hilton, Mihai Codoban, Hoan Nguyen, Lily Mast, Eli Rademacher, Tien N. Nguyen, Danny Dig, API Code Recommendation Using Statistical Learning from Fine-grained Changes, in Proceedings of the 24th ACM SIGSOFT International Symposium on the Foundations of Software Engineering (ACM SIGSOFT FSE 2016), November 13-18, 2016. ACM Press, 2016. (ACM SIGSOFT Distinguished Paper Award).; Anh Tuan Nguyen and Tien N. Nguyen, Graph-based Statistical Language Model for Code, in Proceedings of the 37th ACM/ IEEE International Conference on Software Engineering (ACM/IEEE ICSE 2015), May 16- May 24, 2015. IEEE CS Press, 2015.; Hung Viet Nguyen, Christian Kaestner, and Tien N. Nguyen, Cross-language Program Slicing for Dynamic Web Applications, in Proceedings of the 10th Joint Meeting of the European Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundations of Software Engineering (ACM SIGSOFT ESEC/FSE 2015), August 31 September 4, 2015. ACM Press, 2015.; Anh Tuan Nguyen, Hoan Anh Nguyen, Tung Thanh Nguyen, and Tien N. Nguyen, Statistical Learning Approach for Mining API Usage Mappings for Code Migration, in Proceedings of the 29th ACM/ IEEE International Conference on Automated Software Engineering (ACM/IEEE ASE 2014), pages 457-468, September 15-19, 2014. ACM Press, 2014. (ACM SIGSOFT Distinguished Paper and ASE Best Paper Award).; Notable Service: Program Co-Chair, International Conference on Automated Software Engineering (ASE 2017); Program Committee, International Conference on Software Engineering (ICSE 2018); Program Co-Chair, International Conference on Software Engineering Formal Demonstration Track (ICSE 2018); Program Chair, International Symposium on the Foundations of Software Engineering Formal Demonstration Track (FSE 2018); diff --git a/src/data/compiled_bios/3810.txt b/src/data/compiled_bios/3810.txt new file mode 100644 index 0000000000..c81dec395f --- /dev/null +++ b/src/data/compiled_bios/3810.txt @@ -0,0 +1 @@ +Warren Francis and Wilma Kolm Bradley Chair I have recently spent some time thinking about the US system of computer science education, whether it is fit for purpose, and what we might do to fix it. At a recent lecture I gave at Princeton, I put my thoughts into slide form -- the notes for the slides provides the argument in brief, along with a bibliography: pdf with notes , pdf slides only , powerpoint . While at Princeton, I also gave an overview of some of my recent research on operating systems for data centers, which you can find here: pdf and powerpoint . Mike Dahlin and I have the second edition of our undergraduate operating systems textbook, Operating Systems: Principles and Practice . The new version is available now from Barnes and Nobles , Amazon , and your local bookstore. Slides and selected code examples are available. My research concerns the practical issues in constructing robust, secure, and efficient computer systems. I see myself as a generalist -- I am attracted to the biggest problem I can find, regardless of area. My most recent work has been in the area of improving the performance and reliability of data center operating systems, networks, and distributed systems. I've also done research in programming languages, software engineering, system security, file systems, computer architecture, and educational software. I studied philosophy as an undergraduate, and John Rawls was on my thesis committee. diff --git a/src/data/compiled_bios/3811.txt b/src/data/compiled_bios/3811.txt new file mode 100644 index 0000000000..86ca62249d --- /dev/null +++ b/src/data/compiled_bios/3811.txt @@ -0,0 +1 @@ +Appointments and Affiliations Professor, Paul G. Allen School of Computer Science & Engineering Director, UW eScience Institute Senior Data Science Fellow, UW eScience Institute Director of the UW Advanced Data Science Option program I am a member of the Database , Data Science , UW Reality Lab , and AstroDB groups at UW. I'm also the director of the University of Washington eScience Institute , the director of the IGERT PhD Program in Big Data and Data Science , and the co-founder of the Northwest Database Society (NWDS) . Recent events PC co-chair for PVLDB vol 13 aka VLDB'20. General chair for SOCC 2019 . Head PC Co-chair for CIDR 2019. I lead the organization of the first UW Data Science Summit . Keynote talks at SOCC 2017 and Middleware 2017 . Recipient of SIGMOD's Test of Time Award (2017) ! Check out my new classes on Big Data Management Systems and Scalable Data Systems and Algorithms . Recipient of inaugural VLDB Women in Database Research Award (2016) , PipeGen source code is now available online. PC Co-chair for CIDR 2017. The Myria big data system is now easier than ever to deploy on Amazon EC2. You can also test our demo deployment on Amazon. PSLAManager source code is now available online. Keynote talk at VLDB 2015 . My profile on Google Scholar. Short Bio Magdalena Balazinska is a Professor in the Paul G. Allen School of Computer Science and Engineering at the University of Washington and the Director of the University of Washington eScience Institute. She's also the director of the IGERT PhD Program in Big Data and Data Science and the director of the associated Advanced Data Science PhD Option. Magdalena's research interests are in the field of database management systems. Her current research focuses on data management for data science, big data systems, cloud computing, and image and video analytics (including data management for VR/AR) . Magdalena holds a Ph.D. from the Massachusetts Institute of Technology (2006). She is a Microsoft Research New Faculty Fellow (2007), received the inaugural VLDB Women in Database Research Award (2016), an ACM SIGMOD Test-ofTime Award (2017), an NSF CAREER Award (2009), a 10-year most influential paper award (2010), two Google Research Awards (2011 and 2018), an HP Labs Research Innovation Award (2009 and 2010), a Rogel Faculty Support Award (2006), a Microsoft Research Graduate Fellowship (2003-2005), and multiple best-paper awards. Contact Office: CSE584 Email: magda cs.washington.edu Phone: (206) 616-1069 Fax: (206) 543-2969 Mail: Magdalena Balazinska, Associate Professor University of Washington Computer Science & Engineering Box 352350 Seattle, WA 98195-2350 diff --git a/src/data/compiled_bios/3812.txt b/src/data/compiled_bios/3812.txt new file mode 100644 index 0000000000..b1ae11bfad --- /dev/null +++ b/src/data/compiled_bios/3812.txt @@ -0,0 +1 @@ +Paul received his B.Sc. in Mathematics in 1981, an M.Sc. in Computer Science in 1982, and Ph.D. in Computer Science in 1987, all from the University of Toronto . He was a Post-doctoral Research Associate at M.I.T. for the 1986-87 academic year and joined the University of Washington in 1987. Paul's research is in pure and applied computational complexity. A major focus of his research is in proving lower bounds on the resources needed for solving computational problems. Such topics include communication complexity , time-space tradeoff lower bounds , circuit complexity , proof complexity , and data structures . Another focus of his research is on problems related to formal reasoning, including SAT-solving . His research includes applications of computational complexity in formal verification of software and hardware (currently focused on verifying non-linear arithmetic ), in the study of databases, and in AI, particularly in knowledge representation, learning, and probabilistic inference. Paul enjoys squash, softball and other sports where enthusiasm can compensate for a lack of talent. diff --git a/src/data/compiled_bios/3813.txt b/src/data/compiled_bios/3813.txt new file mode 100644 index 0000000000..09c7441354 --- /dev/null +++ b/src/data/compiled_bios/3813.txt @@ -0,0 +1 @@ + Rastislav Bodik Professor Paul G. Allen School of Computer Science & Engineering University of Washington Seattle, WA Home My Group Papers Service Teaching Contact My research group works on making it easier to write computer programs, mostly using program synthesis, a technique for computer-aided construction of software. Our research agenda is to develop programming languages and tools in which the human is allowed to give incomplete instructions; from these, a complete program is obtained in a dialogue with a programmer assistant. Foundations of program synthesis With collaborators, my group developed the ideas of algorithmic synthesis using sketches (partial programs) and constraint solving. We have later generalized the ideas to so-called solver-aided languages, which simplify programming by delegating coding tasks to a constraint solver. We also work on mining specifications and synthesis-aided programmer tools. Rosette and solver-aided domain-specific languages. Our work on algorithmic synthesis (sketching, angelic programming) has evolved into extending small languages with constructs that delegate programmer work to a constraint solver. Rosetter is a host language for SDSL construction, developed by Emina Torlak. Mining specifications and synthesis of API-level code. Prospector and CodeHint are two synthesizers for construction of code that composes library and framework code. Large-scale synthesis and rethinking compilers To scale synthesis to system software, we are developing abstract and modular synthesis algorithms. To facilitate rapid development of advanced compilers, we are exploring the idea of a synthesis-aided compiler. Synthesis for layout engines. We used abstract synthesis to generate a parallel layout engine for the web browser and data visualization . Currently, we are working on synthesis of an efficient incremental layout algorithm that is also statically parallelizable. A collaboration with Mozilla. Chlorophyll: a synthesis-aided compiler for spatial architectures. Chlorophyll is a synthesis-aided compiler for spatial architectures. It is testbed for exploring how synthesis can simplify compiler construction. Currently, Chlorophyll synthesizes code for the GreenArrays GA144 processor. Probabilistic programming languages. Recently, we began work on synthesis-aided compilation of probabilistic programs. A collaboration with CRA and NIMBLE . Tools for computational doing Computer-aided programming and data manipulation for scientists and end users. Program synthesis for executable biology. Because many mechanistic models of biological cells can be written as executable programs, synthesis can be used to infer biological models from experimental data. Web scripting by demonstration. We are designing the stack of components for PBD applications that access and manipulate web data: a deterministic replayer, data scraper, and a synthesizer of relational queries. Authoring data visualizations. Programming By Manipulation (PBM) seeks to simplify layout programming by guiding the user during the exploration of candidate layouts. diff --git a/src/data/compiled_bios/3814.txt b/src/data/compiled_bios/3814.txt new file mode 100644 index 0000000000..ae9191b434 --- /dev/null +++ b/src/data/compiled_bios/3814.txt @@ -0,0 +1 @@ + Lauren Bricker Lauren Bricker Photo taken on Elger Bay, Camano Island, WA. 2017 Lauren Bricker. diff --git a/src/data/compiled_bios/3815.txt b/src/data/compiled_bios/3815.txt new file mode 100644 index 0000000000..03999f4748 --- /dev/null +++ b/src/data/compiled_bios/3815.txt @@ -0,0 +1 @@ + Maya Cakmak's Webpage HOME RESEARCH PUBLICATIONS LAB Maya Cakmak Paul G. Allen School of Computer Science & Engineering, University of Washington I am an Assistant Professor at the University of Washington, Computer Science & Engineering Department , where I direct the Human-Centered Robotics Lab . I hold a B.Sc. degree in Electrical & Electronics Engineering and a M.Sc. degree in Computer Engineering from the Middle East Technical Univesity in Turkey, where I started doing research in Robotics at the Kovan Lab , with my advisor Erol Sahin . I received my Ph.D. in Robotics at the Georgia Institute of Technology in 2012, after working five years at the Socially Intelligent Machines Lab with my advisor Andrea L. Thomaz . Afterwards, I spent a year as a post-doctoral research fellow at Willow Garage, Inc. working with Leila Takayama . My research interests are in human-robot interaction, end-user programming, and assistive robotics. I aim to develop robots that can be programmed and controlled by a diverse group of users with unique needs and preferences to do useful tasks. RECENT NEWS load more... diff --git a/src/data/compiled_bios/3816.txt b/src/data/compiled_bios/3816.txt new file mode 100644 index 0000000000..236e4dca50 --- /dev/null +++ b/src/data/compiled_bios/3816.txt @@ -0,0 +1 @@ + luis ceze Luis Ceze Professor Paul G. Allen School of Computer Science and Engineering University of Washington Box 352350 Seattle, WA 98195 Paul G. Allen Center , Room 576 (206) 543-1896 [phone], (206) 616-3804 [fax] I help run three groups: Sampa on hardware/software systems, saml on machine learning systems and architecture, and MISL on using DNA for information technology applications. My official UW CSE webpage , and my perpetually semi-up-to-date CV . An overview of our work on approximate computing can be found here . And try out our language, compiler and benchmarking infrastructure for approximate computing. Check out the videos from my Hardware/Software Interface class Take a look at TVM, our recently-released end-to-end stack for deep learning - tvm.ai . Research I work on the intersection of computer architecture, programming languages, machine learning and biology. My goals are explore new and better ways to build computing systems. Some selected publications ( full list ): " Learning to Optimize Tensor Programs ", NIPS'18 (to appear). " TVM:An Automated End-to-End Optimizing Compiler for Deep Learning ", OSDI'18 (to appear). " Parameter Hub: a Rack-Scale Parameter Server for Distributed Deep Neural Network Training ", SoCC'18 (to appear). " Architecture Considerations for Stochastic Computing Accelerators ", CODES'18 (to appear). " LightDB: A DBMS for Virtual Reality Video ", PVLDB'18. " Troubleshooting Transiently-Recurring Errors in Production Systems with Blame-Proportional Logging ", USENIX ATC'18. " Random access in large-scale DNA data storage ", Nature Biotechnology, Cover Feature in Mar'18. " Application Codesign of Near-Data Processing for Similarity Search ", IPDPS'18 " MATIC: Learning Around Erros for Efficient Low-Voltage Neural Network Accelerators ", DATE'18, Best Paper Award. " Correlation Manipulating Circuits for Stochastic", DATE'18 " Clustering Billions of Reads for DNA Data Storage ", NIPS'17 " Computer Security, Privacy, and DNA Sequencing: Compromising Computers with Synthesized DNA, Privacy Leaks, and More. ", Usenix Security'17 "Exploring Computation-Communication Tradeoffs in Camera Systems" , IISWC'17 " Customizing Progressive JPEG for Efficient Image Storage" , USENIX HotStorage'17 " A Hardware-Friendly Bilateral Solver for Real-Time Virtual Reality Video ", HPG'17 " Similarity Search on Automata Processors ", IPDPS'17 " VisualCloud Demonstration: A DBMS for Virtual Reality , SIGMOD'17 " WeLight:Augmenting Interpersonal Communication through Connected Lighting , CHI-LBW'17 ( try it out! ) " Approximate Storage for Encrypted and Compressed Videos , ASPLOS'17 " Enabling In-network Computation with a Programmable Network Middlebox , ASPLOS'17 " Energy-Efficient Hybrid Stochastic-Binary Neural Networks for Near-Sensor Computing , DATE'17. " Disciplined Inconsistency with Consistency Types , SOCC'16. " A DNA-Based Archival Storage System , ASPLOS'16. " High-Density Image Storage Using Approximate Memory Cells , ASPLOS'16. " Optimizing Synthesis with Metasketches , POPL'16. " Probability Type Inference for Flexible Approximate Programming , OOPSLA'15. " HardwareSoftware Co-Design: Not Just a Cliche , SNAPL'15. " Latency-Tolerant Software Distributed Shared Memory ", USENIX ATC'15. " Debugging and Monitoring Quality in Approximate Programs ", ASPLOS 2015. " SNNAP: Neural Acceleration on Programmable Logic ", HPCA 2015. " Data Provenance Analysis in Multithreaded Programs ", CGO 2015. " Alembic: Automatic Locality Extraction via Migration ", OOPSLA 2014. " Symbolic Execution of Multithreaded Programs from Arbitrary Program Contexts ", OOPSLA 2014. " General-Purpose Code Acceleration with Limited-Precision Analog Computation ", ISCA 2014. " Expressing and Verifying Probabilistic Assertions ", PLDI 2014. " Low-Level Detection of High-Level Data Races with LARD ", ASPLOS 2014. " Integrated 3D-Stacked Server Designs for Increasing Physical Density of Key-Value Stores ", ASPLOS 2014. " Approximate Storage in Solid-State Memories ", MICRO 2013. " EnerJ, the Language of Good-Enough Computing ", IEEE Spectrum Feature Article. " Input-Covering Schedules for Multithreaded Programs ", OOPSLA 2013. " DNA-based Molecular Architecture with Spatially Localized Components ", ISCA 2013. " Cooperative Empirical Failure Avoidance for Multithreaded Programs ", ASPLOS 2013. " DDOS: Taming Nondeterminism in Distributed Systems ", ASPLOS 2013. " Neural Acceleration for General-Purpose Approximate Programs ", MICRO 2012 (Selected as IEEE Micro Top Picks and CACM Research Highlights). " IFRit: Interference-Free Regions for Dynamic Data-Race Detection ", OOPSLA 2012. " RADISH: Always-On Sound and Complete Race Detection in Software and Hardware ", ISCA 2012. " Architectural Support for Disciplined Approximate Programming ", ASPLOS 2012. " EnerJ: Approximate Data Types for Safe and General Low-Power Computation ", PLDI 2011. " Isolating and Understanding Concurrency Errors Using Reconstructed Execution Fragments ", PLDI 2011. " Operating System Implications of Fast, Cheap, Non-Volatile Memory ", Usenix HotOS 2011. " RCDC: A Relaxed Consistency Deterministic Computer ", ASPLOS 2011. " Checked Load: Architectural Support for JavaScript Type-Checking on Mobile Processors Authors ", HPCA 2011. " A Limit Study of JavaScript Parallelism ", IISWC 2010. " Composable Specifications for Structured Shared-Memory Communication ", OOPSLA 2010. " Deterministic Process Groups in dOS ", OSDI 2010. " Conflict Exceptions: Providing Simple Concurrent Language Semantics with Precise Hardware Exceptions ", ISCA 2010. " ColorSafe: Architectural Support for Debugging and Dynamically Avoiding Multi-variable Atomicity Violations ", ISCA 2010. " CoreDet: A Compiler and Runtime System for Deterministic Multithreaded Execution ", ASPLOS 2010. " Finding Concurrency Bugs with Context-Aware Communication Graphs ", MICRO 2009. " The Case for System Support for Concurrency Exceptions ", USENIX HotPar 2009. " DMP: Deterministic Shared Memory Multiprocessing ", ASPLOS 2009. (Selected for the IEEE Micro Top Picks 2009). " Atom-Aid: Detecting and Surviving Atomicity Violations ", ISCA 2008. (Selected for the IEEE Micro Top Picks 2008). If you need a good architecture simulator, take a look at SESC , a very fast multiprocessor simulator. And here is a good way of choosing your next architecture or compiler conference. We have released our Grappa runtime system for large-scale irregular applications (e.g., graph analytics), take a look! We have also recently started publicizing approxbench.org , and ACCEPT , a set of tools and benchmarks for approximate computing research. Take a look at the collectively written white-paper on 21st Century computer architecture research. I am lucky to have my research supported by Microsoft, Intel, Google, Qualcomm, NetApp, NSF, and the Pacific Northwest National Laboratory. I am also a member of the Center for Future Architectures Research . I received an NSF CAREER Award and a Microsoft Research Faculty Fellowship to develop ideas on deterministic multiprocessing and multicore programmability in general. I am also the 2013 recipient of the IEEE TCCA Young Computer Architect Award. Teaching CSE590G Architecture Seminar (ongoing) CSE351 The Hardware/Software Interface, Winter 2015 CSE548 Computer Systems Architecture, Fall 2014 Coursera The Hardware/Software Interface, Spring 2013. Summer 2014. CSE351 The Hardware/Software Interface, Spring 2013 CSEP548 Computer Systems Architecture (PMP), Fall 2012 CSE351 The Hardware/Software Interface, Fall 2011 CSE351 The Hardware/Software Interface, Spring 2011 CSEP548 Computer Systems Architecture, Winter 2011 CSE378 Machine Organization & Assembly Language, Spring 2010 CSE548 Computer Systems Architecture, Winter 2010 CSEP548 Computer Systems Architecture (PMP), Spring 2009 CSE378 Machine Organization & Assembly Language, Winter 2009 CSE599Q Topics in Multiprocessor Programmability, Spring 2008 CSE590P Programming Systems Seminar, Winter 2008 (with Dan Grossman) CSE548 Computer Systems Architecture, Winter 2008 CSE378 Machine Organization & Assembly Language, Fall 2007 Students I have the pleasure of working with the following incredible graduate students: James Bornholt (primarily advised by Emina Torlak) Tianqi Chen (w/ Carlos Guestrin) Vincent Lee (w/ Mark Oskin) Ming Liu (primarily advised by Arvind Krishnamurthy) Liang Luo Amrita Mazumdar Thierry Moreau Lee Organick (w/ Karin Strauss) Kendall Stewart(w/ Karin Strauss and Georg Seelig) Eddie Yan Max Willsey Meghan Cowan Luis Vega Melissa Queen Alumni Armin Alaghi (postdoc, now at Oculus Research) Djordje Jevdjic (postoc, now faculty atu SNU) Artem Miniyaylov Brandon Holt (PhD'16, now at Apple) Adrian Sampson (PhD'15, now faculty at Cornell) Ben Wood (PhD'15, now faculty at Wellesley) Jacob Nelson (PhD'14, now at MSR) Ben Ransford (now co-founder of Virta Labs) Peter Hornyack (MS'14, now at Google) Andre Baixo (MS'15, now at ARM) Katelin Bailey (MS'15, now at Microsoft) Tom Bergan (PhD'14, now at Google) Mike Ringenburg (PhD'14, now at Cray) Nick Hunt (MS'12) Hadi Emaseilzadeh (PhD'13, now faculty at Georgia Tech) Brandon Lucia (PhD'13, now faculty at CMU) Joe Devietti (PhD'12, now faculty at UPenn) Emily Fortuna (MS'11, first employment: Google) Owen Anderson (MS'10, first employment: Apple) Julian Knutsen (BS'10, first employment: Corensic) Angda (Andy) Chen (BS'08 Honors, first employment: Amazon) Danushen Gnanapragasam Andrew Morgan About me I was born in So Paulo , Brazil . I received my PhD in Computer Science from University of Illinois at Urbana-Champaign . I got my BEng and MEng in Electrical Engineering from University of So Paulo , Brazil. Self portraits. I love to cook and eat . I am very fortunate to have such a happy family . My (much smarter than me) brother was freezing in Michigan but having fun with aerospace engineering, now he is in sunny California at NASA AMES.. I am always happy because she exists. diff --git a/src/data/compiled_bios/3817.txt b/src/data/compiled_bios/3817.txt new file mode 100644 index 0000000000..e56e7f7192 --- /dev/null +++ b/src/data/compiled_bios/3817.txt @@ -0,0 +1 @@ + I am an assistant professor in the Department of Computer Science & Engineering at the University of Washington , affiliated with the database and programming systems research groups. My research interests include program analysis, improving database application performance, and building big systems in general. For further information, please see my home page . diff --git a/src/data/compiled_bios/3818.txt b/src/data/compiled_bios/3818.txt new file mode 100644 index 0000000000..6e399139ed --- /dev/null +++ b/src/data/compiled_bios/3818.txt @@ -0,0 +1 @@ + Yejin Choi Photo credit: Bruce Hemingway Yejin Choi Associate Professor Office: 578 Allen Center Fax: 206-685-2969 email: yejin@cs.washington.edu Paul G. Allen School of Computer Science & Engineering University of Washington Box 352350 Seattle, WA 98195-2350 Allen Institute for Artificial Intelligence 2157 N Northlake Way, Suite 110 Seattle, WA 98103 News: - Our UW Sounding Board team is the winnner of the Alexa Prize! - Our UW team (with Pooja, Max, Ari) won the Facebook ParlAI award! - This year, I'm serving as: an associate editor for JAIR, an editor for Computational Linguistics, a senior area chair for EMNLP 2018, an area chair for ICLR 2019, and as a PC member for EMNLP, CVPR, ICLR, NIPS, CoNLL, RoboNLP, WiNLP, and JNLE. - Named among ``IEEE AI's 10 to Watch'' , selected by the IEEE Intelligent Systems once every two years. - A recepient of Borg Early Career Award (BECA). Recent Talks: July 2018 Talk at ACL Workshop on Representation Learning for NLP July 2018 Talk at LxMLS Lisbon Machine Learning School Jun 2018 Talk at CVPR Workshop on Visual Question Answering Jun 2018 Talk at NAACL Workshop on Generalization in Deep Learning, ``why NLU doesn't generalize to NLG'' Apr 2018 Talk at NW-NLP, video available here Feb 2018 Talk at AAAI Dec 2017 Talk at PNNL Nov 2017 Talk at CMU, AAAI Symposium on Natural Communication for Human-Robot Collaboration Oct 2017 Talk at TTIC, Facebook, Colorado Sep 2017 Talk & Panel at RepEval at EMNLP 2017 , Samsung AI Summit Aug 2017 Keynote at *SEM/SemEval at ACL 2017 Jul 2017 Talk at Cornell Tech/NYU/Columbia May 2017 Talk at Stanford Linguistics Mar 2017 Talk at Berkeley Simons Workshop on Representation Learning Feb 2017 Talk at Michigan, MSR Dec 2016 Talk at ISI/USC, Amazon Nov 2016 Talk at Harvard, Talk & Panel at Uphill Battles in NLP @ EMNLP'16, Structured Prediction for NLP @ EMNLP'16 Oct 2016 Talk at Johns Hopkins, Seoul National University, Samsung Sep 2016 Talk at Edinburgh, Cornell, Keynote at International Natural Language Generation conference (INLG) 2016 Aug 2016 Keynote at Vision and Language Workshop (VL'16) Jul 2016 Talk at International Joint Conference on Artificial Intelligence (IJCAI) -- Early Career Spotlight Track Research Interests: My primary research interests are in the fields of Natural Language Processing, Machine Learning, Artificial Intelligence, with broader interests in Computer Vision and Digital Humanities. Language and X {vision, knowledge, world, mind, society...} : Intelligent communication requires the ability to read between the lines and to reason beyond what is said explicitly. My recent research has been under two broad themes: (i) learning the contextual, grounded meaning of language from various contexts in which language is used both physical (e.g., visual) and abstract (e.g., social, cognitive), and (ii) learning the background knowledge about how the world works, latent in large-scale multimodal data. More specifically, my research interests include: Language Grounding with Vision: Learning semantic correspondences between language and vision at a very large scale, addressing tasks such as image captioning, multimodal knowledge learning, and reasoning. Physical Commonsense Reasoning: Learning naive physics type knowledge from language and other modalities; modeling action causality and entailment using frame semantic style representation. Social Commonsense Reasoning and Connotation Frames: Modeling connotative implications of actions and events; modeling why people do (intent) what they do and the (emotional) causal impact of different actions and events. Language Generation and Conversational AI: Modeling the long-term context; tracking and simulating the world representend in a story or a narrative; learning to write; integrating physical and social commonsense in storytelling AI for Social Good: fake review / news detection; political factchecking; identifying unwanted bias in modern films and literature Recent Publications (2016 - 2018): From Recognition to Cognition: Visual Commonsense Reasoning ( VCR ) Rowan Zellers, Yonatan Bisk, Ali Farhadi, Yejin Choi. arXiv:1811.10830 *Project Page ATOMIC : An Atlas of Machine Commonsense for If-Then Reasoning Maarten Sap, Ronan LeBras, Emily Allaway, Chandra Bhagavatula, Nicholas Lourie, Hannah Rashkin, Brendan Roof, Noah A Smith and Yejin Choi *Project Page SWAG : A Large-Scale Adversarial Dataset for Grounded Commonsense Inference Rowan Zellers, Yonatan Bisk, Roy Schwartz and Yejin Choi Conference on Empirical Methods in Natural Language Processing (EMNLP), 2018. *Project Page *Leaderboard QuAC: Question Answering in Context Eunsol Choi, He He, Mohit Iyyer, Mark Yatskar, Wen-tau Yih, Yejin Choi, Percy Liang and Luke Zettlemoyer Conference on Empirical Methods in Natural Language Processing (EMNLP), 2018. *Leaderboard Neural Metaphor Detection in Context Ge Gao, Eunsol Choi, Yejin Choi and Luke Zettlemoyer Conference on Empirical Methods in Natural Language Processing (EMNLP), short paper, 2018. Modeling Naive Psychology of Characters in Simple Commonsense Stories Hannah Rashkin, Antoine Bosselut, Maarten Sap, Kevin Knight and Yejin Choi Association for Computational Linguistics (ACL), 2018. *Project Page (with an online dataset browser!) Learning to Write with Cooperative Discriminators Ari Holtzman, Jan Buys, Maxwell Forbes, Antoine Bosselut, David Golub and Yejin Choi Association for Computational Linguistics (ACL), 2018. Event2Mind: Commonsense Inference on Events, Intents, and Reactions Hannah Rashkin, Maarten Sap, Emily Allaway, Noah A. Smith and Yejin Choi Association for Computational Linguistics (ACL), 2018. *Project Page (with an online dataset browser!) Ultra-Fine Entity Typing Eunsol Choi, Omer Levy, Yejin Choi and Luke Zettlemoyer Association for Computational Linguistics (ACL), 2018. *Project Page Sounding Board: A User-Centric and Content-Driven Social Chatbot Hao Fang, Hao Cheng, Maarten Sap, Elizabeth Clark, Ari Holtzman, Yejin Choi, Noah A. Smith, and Mari Ostendorf North American Chapter of the Association for Computational Linguistics (NAACL), demo paper, 2018. Discourse-Aware Neural Rewards for Coherent Text Generation Antoine Bosselut, Asli Celikyilmaz, Xiaodong He, Jianfeng Gao, Po-sen Huang, and Yejin Choi North American Chapter of the Association for Computational Linguistics (NAACL), 2018. Deep Communicating Agents for Abstractive Summarization Asli Celikyilmaz, Antoine Bosselut, Xiaodong He, and Yejin Choi North American Chapter of the Association for Computational Linguistics (NAACL), 2018. Neural Poetry Translation Marjan Ghazvininejad, Yejin Choi, and Kevin Knight North American Chapter of the Association for Computational Linguistics (NAACL), short paper, 2018. Neural Motifs: Scene Graph Parsing with Global Context Rowan Zellers, Mark Yatskar, Sam Thomson, and Yejin Choi Conference on Computer Vision and Pattern Recognition (CVPR) , 2018 Simulating Action Dynamics with Neural Process Networks Antoine Bosselut, Omer Levy, Ari Holtzman, Corin Ennis, Dieter Fox, and Yejin Choi International Conference on Learning Representations (ICLR), 2018. [Podcast] Learning Interpretable Spatial Operations in a Rich 3D Blocks World Yonatan Bisk, Kevin J. Shih, Yejin Choi, and Daniel Marcu Association for the Advancement of Artificial Intelligence (AAAI), 2018. Zero-Shot Activity Recognition with Verb Attribute Induction Rowan Zellers and Yejin Choi Conference on Empirical Methods in Natural Language Processing (EMNLP), 2017. *Project Page Dynamic Entity Representations in Neural Language Models Yangfeng Ji, Chenhao Tan, Sebastian Martschat, Yejin Choi and Noah A. Smith Conference on Empirical Methods in Natural Language Processing (EMNLP), 2017. Truth of Varying Shades: On Political Fact-Checking and Fake News Hannah Rashkin, Eunsol Choi, Jin Yea Jang, Svitlana Volkova and Yejin Choi Conference on Empirical Methods in Natural Language Processing (EMNLP), short paper, 2017. *Project Page Connotation Frames of Agency and Power in Modern Films Maarten Sap, Marcella Cindy Prasettio, Ariel Holtzman, Hannah Rashkin and Yejin Choi Conference on Empirical Methods in Natural Language Processing (EMNLP), short paper, 2017. *Project Page *Demo Page Neural AMR : Sequence-to-Sequence Models for Parsing and Generation Ioannis Konstas, Srinivasan Iyer, Mark Yatskar, Yejin Choi and Luke Zettlemoyer Association for Computational Linguistics (ACL), 2017. *Project Page Verb Physics : Relative Physical Knowledge of Actions and Objects Maxwell Forbes and Yejin Choi Association for Computational Linguistics (ACL), 2017. *Project Page Multilingual Connotation Frames: A Case Study on Social Media for Targeted Sentiment Analysis and Forecast Hannah Rashkin, Eric Bell, Yejin Choi, and Svitlana Volkova Association for Computational Linguistics (ACL) , short paper, 2017. *Project Page The Effect of Different Writing Tasks on Linguistic Style: A Case Study of the ROC Story Cloze Task Roy Schwartz, Maarten Sap, Yannis Konstas, Li Zilles, Yejin Choi and Noah A. Smith Conference on Computational Natural Language Learning (CoNLL) , 2017. Story Cloze Task: UW NLP System Roy Schwartz, Maarten Sap, Yannis Konstas, Li Zilles, Yejin Choi and Noah A. Smith LSDSem 2017 shared task (Best performing system) , 2017. Globally Coherent Text Generation with Neural Checklist Models Chlo Kiddon, Luke Zettlemoyer, and Yejin Choi Conference on Empirical Methods in Natural Language Processing (EMNLP), 2016. Generating Topical Poetry Marjan Ghazvininejad, Xing Shi, Yejin Choi, and Kevin Knight Conference on Empirical Methods in Natural Language Processing (EMNLP), 2016. Connotation Frames: A Data-Driven Investigation Hannah Rashkin, Sameer Singh, and Yejin Choi Association for Computational Linguistics (ACL) , 2016. *Project Page Learning Prototypical Event Structure from Photo Albums Antoine Bosselut, Jianfu Chen, David Warren, Hannaneh Hajishirzi, and Yejin Choi Association for Computational Linguistics (ACL) , 2016. *Project Page Document-level Sentiment Inference with Social, Faction, and Discourse Context Eunsol Choi, Hannah Rashkin, Luke Zettlemoyer, and Yejin Choi Association for Computational Linguistics (ACL) , 2016. *Project Page Are Elephants Bigger than Butterflies? Reasoning about Sizes of Objects Hessam Bagherinezhad, Hannaneh Hajishirzi, Yejin Choi, and Ali Farhadi Association for the Advancement of Artificial Intelligence (AAAI) , 2016. Selected Publications (2011 - 2015): Segment-Phrase Table for Semantic Segmentation, Visual Entailment and Paraphrasing Hamid Izadinia, Fereshteh Sadeghi, Santosh Kumar Divvala, Hannaneh Hajishirzi, Yejin Choi, and Ali Farhadi International Conference on Computer Vision (ICCV) , 2015. (oral) Mise en Place: Unsupervised Interpretation of Instructional Recipes Chlo Kiddon, Ganesa Thandavam Ponnuraj, Luke Zettlemoyer, and Yejin Choi Conference on Empirical Methods in Natural Language Processing (EMNLP), 2015. TreeTalk: Composition and Compression of Trees for Image Descriptions Polina Kuznetsova, Vicente Ordonez, Tamara Berg, and Yejin Choi. Transaction of Association for Computational Linguistics (TACL) , 2014. (presented at EMNLP 2014) From Large Scale Image Categorization to Entry-Level Categories. Vicente Ordonez, Jia Deng, Yejin Choi, Alexander C Berg, and Tamara L Berg International Conference on Computer Vision (ICCV) , 2013. -- M arr Prize Connotation Lexicon: A Dash of Sentiment Beneath the Surface Meaning. Song Feng, Jun Seok Kang, Polina Kuznetsova, and Yejin Choi. Association for Computational Linguistics (ACL) , 2013. *Project Page *Data: Connotation lexicon Featured in Fast Company Finding Deceptive Opinion Spam by Any Stretch of the Imagination. Myle Ott, Yejin Choi, Claire Cardie, and Jeffrey Hancock. Association for Computational Linguistics (ACL) , 2011. Featured in WNBC News for New York (Sep 2012, 5pm news); NHPR Radio (Sep 22, 2011); Bloomberg Business Week (Oct 2011); NY Times (Aug 19, 2011); Full List of Publications: Full publication list Google Scholar Recent Teaching: CSE 517 (Grad) Natural Language Processing [Winter 2019] CSE 481 N (Undergrad Capstone) Natural Language Processing [Spring 2018] CSE 447 (Undergrad) Natural Language Processing [Winter 2018] CSE 481 N (Undergrad Capstone) Natural Language Processing [Spring 2017] CSE 517 (Grad) Natural Language Processing [Winter 2017] CSE 490 U (Undergrad) Natural Language Processing [Spring 2016] CSEP 517 (Professional MS) Natural Language Processing [Autumn 2015] CSE 599 (Grad) Advanced NLP [Spring 2015] CSE 517 (Grad) Natural Language Processing [Winter 2015] xlab: Current members: Post Doc: Yonatan Bisk Jan Buys PhD: Eunsol Choi - co-advised with Luke Zettlemoyer Antoine Bosselut Hannah Rashkin Maxwell Forbes Maarten Sap - co-advised with Noah Smith Ari Holtzman Rowan Zellers Saadia Gabriel Lianhui Qin Xiujun Li Tim Dettmers Undergrad: Ge Gao Stony Brook: Jun Seok Kang - co-advised with Niranjan Balasubramanian Former members: Yannis Konstas (PostDoc -> Faculty @ Heriot-Watt University) Emily Louise Allaway (BS -> PhD @ Columbia) Marcella Cindy Prasetio (BS -> MS @ Stanford) Ryan Benmalek (BS -> PhD @ Cornell) Pooja Sethi (BS -> Facebook) Chlo Kiddon (PhD -> Google) Song Feng (PhD -> Research Staff Member @ IBM Research) Polina Kuznetsova (PhD -> Research Scientist @ Facebook) Ritwik Banerjee (PhD -> Research Faculty @ Stony Brook University) Short Bio: Yejin Choi is an associate professor of Paul G. Allen School of Computer Science & Engineering at the University of Washington, adjunct of the Linguistics department, and affiliate of the Center for Statistics and Social Sciences. She is also a senior research manager at the Allen Institute for Artificial Intelligence. She is a co-recepient of the Marr Prize (best paper award) at ICCV 2013, a recepient of Borg Early Career Award (BECA) in 2018, and named among IEEE AI's 10 to Watch in 2016. She received her Ph.D. in Computer Science at Cornell University (advisor: Prof. Claire Cardie ) and BS in Computer Science and Engineering at Seoul National University in Korea. Personal: Scuba! diff --git a/src/data/compiled_bios/3819.txt b/src/data/compiled_bios/3819.txt new file mode 100644 index 0000000000..3461ecd12e --- /dev/null +++ b/src/data/compiled_bios/3819.txt @@ -0,0 +1 @@ +Please visit my main home page to learn more about me and my research. Brian Curless, Professor, joined the Computer Science & Engineering faculty at the University of Washington after earning his Ph.D. from Stanford University, and B.S. from the University of Texas, Austin. Professor Curless's research interests span a number of areas in computer graphics and vision, including computational photography, multi-view stereo, 3D range scanning, surface shape and appearance reconstruction and modeling, and 3D interaction. Honors and awards University of Washington ACM Teaching Award Alfred P. Sloan Foundation Faculty Fellowship National Science Foundation CAREER Award Computer Science Department Arthur Samuel Thesis Award, Stanford University Gores Award for Teaching Excellence, Stanford University Summa Cum Laude, University of Texas, Austin diff --git a/src/data/compiled_bios/382.txt b/src/data/compiled_bios/382.txt new file mode 100644 index 0000000000..8b42317763 --- /dev/null +++ b/src/data/compiled_bios/382.txt @@ -0,0 +1 @@ +Name: Ntafos, Simeon:: Position: Professor:: Associate Dean for Undergraduate Education Degrees: Ph.D., Northwestern University, 1979; M.S., Electrical Engineering, Northwestern University, 1977; B.S., Electrical Engineering, Wilkes College, 1974; Research Interests: Computational Geometry; Program Testing; Software Reliability Estimation; RepresentativePublications: Optimum Guard Covers and m-Watchman Routes for Histograms, Intl Journal of Computational Geometry and Applications, Vol. 3, No. 1, pp. 85-105, 1993 (with S. Carlsson, J. Nilsson).; On Random and Partition Testing, Proc. ISSTA-98 in ACM SIGSOFT Software Engineering Notes, Vol. 23, No. 2, pp. 42-48, March 1998.; A Greedy Over-the-Cell Channel Router, VLSI Design, Vol. 5, No. 1, pp. 23-36, 1996 (with G. Gudmundsson).; On Comparisons of Random, Uniform, and Proportional Partition Testing, IEEE Transactions on Software Engineering, Vol. 27, No. 10, pp. 949-960, October 2001.; Guarding a Terrain with Two Watchtowers, 21st Symp. on Computational Geometry, June 2005 (with Agarwal, Bereg, Daescu, Kaplan, Zhu).; diff --git a/src/data/compiled_bios/3820.txt b/src/data/compiled_bios/3820.txt new file mode 100644 index 0000000000..eca26c5ff2 --- /dev/null +++ b/src/data/compiled_bios/3820.txt @@ -0,0 +1 @@ + Pedro Domingos PEDRO DOMINGOS Professor Address: Dept. of Computer Science & Engineering University of Washington Box 352350 Seattle, WA 98195-2350 Telephone : (206) 543-4229 Fax: (206) 543-2969 Email: pedrod at cs dot washington dot edu Office: 648 Allen Center Twitter : @pmddomingos For speaking engagements, please contact: Tom Neilssen at the BrightSight Group Tel.: 609-924-3060 x16 Email: tom@brightsightgroup.com Read the prologue . Check out my online machine learning class . Research Interests My main research interests are in the fields of machine learning and data mining. I'd like to make computers do more with less help from us, learn from experience, adapt effortlessly, and discover new knowledge. We need computers that reduce the information overload by extracting the important patterns from masses of data. This poses many deep and fascinating scientific problems: How can a computer decide autonomously which representation is best for target knowledge? How can it tell genuine regularities from chance occurrences? How can pre-existing knowledge be exploited? How can a computer learn with limited computational resources? How can learned results be made understandable by us? My research addresses these and related questions. Research topics that I'm working on, or have recently worked on, include: Learning concepts represented by sets of rules Using examples as implicit definitions of concepts Using probabilistic representations and analyses to address the uncertainty inherent in learning Automating the process of selecting representations for concepts Learning several models and combining them to improve accuracy and stability Evaluating and selecting candidate models to avoid "overfitting" (i.e., to distinguish between genuine regularities and chance occurrences) Learning models that can be easily understood by people Using pre-existing knowledge to guide and improve learning Developing knowledge discovery algorithms that run in linear or near-linear time, and so scale up to large databases Using subsampling techniques to scale up pre-existing approaches Developing algorithms that take into account the costs of decisions Understanding the probabilistic properties and foundations of data mining algorithms Developing techniques for mining semi-structured data sources (e.g., text, the Web) Current Projects Statistical Relational Learning: Learning from noisy data in rich representations Tractable Deep Learning: Learning deep models where inference is tractable Machine Reading: Extracting knowledge bases from text Collective Knowledge Bases: Merging knowledge from a multitude of sources Large-Scale Machine Learning: Mining massive data streams Brief Bio I'm a professor of computer science and engineering at the University of Washington and the author of The Master Algorithm . I'm a winner of the SIGKDD Innovation Award, the highest honor in data science, and a AAAI Fellow. I've received an NSF CAREER Award, a Sloan Fellowship, a Fulbright Scholarship, an IBM Faculty Award, several best paper awards, and other distinctions. I received an undergraduate degree (1988) and M.S. in Electrical Engineering and Computer Science (1992) from IST, in Lisbon. I received an M.S. (1994) and Ph.D. (1997) in Information and Computer Science from the University of California at Irvine. I spent two years as an assistant professor at IST, before joining the faculty of the University of Washington in 1999. I'm the author or co-author of over 200 technical publications in machine learning, data mining, and other areas. I'm a member of the editorial board of the Machine Learning journal, co-founder of the International Machine Learning Society, and past associate editor of JAIR. I was program co-chair of KDD-2003 and SRL-2009, and I've served on the program committees of AAAI, ICML, IJCAI, KDD, NIPS, SIGMOD, UAI, WWW, and others. Vita Current Students William Agnew Abram Friesen Vlad Murad Peter West Alumni Corin Anderson , Software Engineer, Google. Jesse Davis , Professor, University of Leuven. AnHai Doan , Professor, University of Wisconsin, Madison. (Winner of the 2003 ACM Distinguished Dissertation Award.) Robert Gens , Research Scientist, Google. Vibhav Gogate , Assistant Professor, University of Texas at Dallas. Geoff Hulten , Principal Applied Research Manager, Microsoft Corp. Stanley Kok , Assistant Professor, Singapore University of Technology and Design. Tessa Lau , Research Staff Member, IBM Almaden Research Center. Daniel Lowd , Associate Professor, University of Oregon. Xu Miao , Applied Researcher, Microsoft Corp. Aniruddh Nath , Software Engineer, Google. Mathias Niepert , Senior Researcher, NEC Research Europe. Hoifung Poon , Researcher, Microsoft Research. Matt Richardson , Researcher, Microsoft Research. Parag Singla , Assistant Professor, IIT Delhi. Software Alchemy : Statistical relational AI. SPN : Sum-product networks for tractable deep learning. RDIS : Recursive decomposition for nonconvex optimization. BVD : Bias-variance decomposition for zero-one loss. NBE : Bayesian learner with very fast inference. RISE : Unified rule- and instance-based learner. VFML : Toolkit for mining massive data sources. Selected Talks The Next Hundred Years of Your Life , TEDxLA, Los Angeles, 2016. The Master Algorithm , Google, Mountain View, 2015. The Quest for the Master Algorithm , TEDxUofW, Seattle, 2015. Symmetry-Based Learning , ICLR-14, Banff, 2014. Principles of Very Large Scale Modeling , KDD-14, New York, 2014. Unifying Logical and Statistical AI , University of Edinburgh, 2009. Books The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World . New York: Basic Books, 2015. Markov Logic: An Interface Layer for Artificial Intelligence , with Daniel Lowd. San Rafael, CA: Morgan & Claypool, 2009. Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining , with C. Faloutsos, T. Senator, H. Kargupta and L. Getoor (eds.). New York: ACM Press, 2003. A Unified Approach to Concept Learning . Ph.D. Dissertation, Department of Information and Computer Science, University of California, Irvine, 1997. Selected Book Chapters What's Missing in AI: The Interface Layer . In P. Cohen (ed.), Artificial Intelligence: The First Hundred Years. Menlo Park, CA: AAAI Press. To appear. Markov Logic , with various coauthors. In L. De Raedt, P. Frasconi, K. Kersting and S. Muggleton (eds.), Probabilistic Inductive Logic Programming (pp. 92-117), 2008. New York: Springer. Markov Logic: A Unifying Framework for Statistical Relational Learning , with Matt Richardson. In L. Getoor and B. Taskar (eds.), Introduction to Statistical Relational Learning (pp. 339-371), 2007. Cambridge, MA: MIT Press. Combining Link and Content Information in Web Search , with Matt Richardson. In M. Levene and A. Poulovassilis (eds.), Web Dynamics (pp. 179-193), 2004. New York: Springer. Ontology Matching: A Machine Learning Approach , with AnHai Doan, Jayant Madhavan and Alon Halevy. In S. Staab and R. Studer (eds.), Handbook on Ontologies in Information Systems (pp. 385-403), 2004. New York: Springer. Machine Learning . In W. Klosgen and J. Zytkow (eds.), Handbook of Data Mining and Knowledge Discovery (pp. 660-670), 2002. New York: Oxford University Press. Learning Repetitive Text-Editing Procedures with SMARTedit , with Tessa Lau, Steve Wolfman and Dan Weld. In H. Lieberman (ed.), Your Wish Is My Command: Giving Users the Power to Instruct their Software (pp. 209-225), 2001. San Francisco, CA: Morgan Kaufmann. Selected Essays Artificial Intelligence Will Serve Humans, Not Enslave Them , Scientific American, 2018. How Not to Regulate the Data Economy . Medium, 2018. Ten Myths About Machine Learning . Medium, 2016. The Race for the Master Algorithm Has Begun . Wired, 2016. The Business Opportunity of the Century . The Globe and Mail, 2016. A Mystery in the Machine . OECD Yearbook, 2016. How to Train Your AI . Medium 2016. Get Ready for Your Digital Model . Wall Street Journal, 2015. Five Profound Ways that AI Will Change the Way You Live . Omnivoracious: The Amazon Book Review, 2015. Solving AI: We Need a New Language for Artificial Intelligence . MIT Technology Review, 2009. Selected Journal Papers On the Latent Variable Interpretation in Sum-Product Networks , with Robert Peharz, Robert Gens and Franz Pernkopf. IEEE Transactions on Pattern Analysis and Machine Intelligence, 39 (10), 2030-2044, 2017. Probabilistic Theorem Proving , with Vibhav Gogate. Communications of the ACM, 59 (7), 107-115, 2016. A Few Useful Things to Know about Machine Learning . Communications of the ACM, 55 (10), 78-87, 2012. Structured Machine Learning: Ten Problems for the Next Ten Years (Section 5 in Structured Machine Learning: The Next Ten Years ). Machine Learning, 73, 3-23, 2008. Toward Knowledge-Rich Data Mining (position paper). Data Mining and Knowledge Discovery, 15, 21-28, 2007. Markov Logic Networks , with Matt Richardson. Machine Learning, 62, 107-136, 2006. Mining Social Networks for Viral Marketing (short paper). IEEE Intelligent Systems, 20(1), 80-82, 2005. Learning to Match Ontologies on the Semantic Web , with AnHai Doan, Jayant Madhavan, Robin Dhamankar and Alon Halevy. VLDB Journal 12, 303-319, 2003. Programming by Demonstration Using Version Space Algebra , with Tessa Lau, Steve Wolfman and Dan Weld. Machine Learning, 53, 111-156, 2003. Tree Induction for Probability-Based Ranking , with Foster Provost. Machine Learning, 52, 199-216, 2003. Learning to Match the Schemas of Data Sources: A Multistrategy Approach , with AnHai Doan and Alon Halevy. Machine Learning, 50, 279-301, 2003. A General Framework for Mining Massive Data Streams , with Geoff Hulten (short paper). Journal of Computational and Graphical Statistics, 12, 2003. Prospects and Challenges for Multi-Relational Data Mining (position paper). SIGKDD Explorations, 5, 80-83, 2003. The Role of Occam's Razor in Knowledge Discovery . Data Mining and Knowledge Discovery, 3, 409-425, 1999. Knowledge Discovery Via Multiple Models . Intelligent Data Analysis, 2, 187-202, 1998. On the Optimality of the Simple Bayesian Classifier under Zero-One Loss , with Michael Pazzani. Machine Learning, 29, 103-130, 1997. Context-Sensitive Feature Selection for Lazy Learners . Artificial Intelligence Review, 11, 227-253, 1997. Unifying Instance-Based and Rule-Based Induction . Machine Learning, 24, 141-168, 1996. Two-Way Induction . International Journal on Artificial Intelligence Tools, 5, 113-125, 1996. Selected Conference Papers Submodular Field Grammars: Representation, Inference, and Application to Image Parsing , with Abram Friesen. Advances in Neural Information Processing Systems 31, 2018. Montral, Canada: NIPS Foundation. Deep Learning as a Mixed Convex-Combinatorial Optimization Problem , with Abram Friesen. Proceedings of the Sixth International Conference on Learning Representations, 2018. Vancouver, Canada: CBLS. Compositional Kernel Machines , with Robert Gens. Proceedings of the Fifth International Conference on Learning Representations, 2017. Toulon, France: CBLS. The Sum-Product Theorem: A Foundation for Learning Tractable Models , with Abram Friesen. Proceedings of the Thirty-Third International Conference on Machine Learning, 2016. New York, NY: JMLR. Learning Tractable Probabilistic Models for Fault Localization , with Aniruddh Nath. Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016. Phoenix, AZ: AAAI Press. Recursive Decomposition for Nonconvex Optimization , with Abram Friesen. Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015. Buenos Aires, Argentina: AAAI Press. Winner of the Distinguished Paper Award. Learning and Inference in Tractable Probabilistic Knowledge Bases , with Mathias Niepert. Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015. Amsterdam, Netherlands: AUAI Press. Learning Relational Sum-Product Networks , with Aniruddh Nath. Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015. Austin, TX: AAAI Press. On Theoretical Properties of Sum-Product Networks , with Robert Peharz, Sebastian Tschiatschek and Franz Pernkopf. Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015. San Diego, CA: JMLR. Deep Symmetry Networks , with Robert Gens. Advances in Neural Information Processing Systems 27, 2014. Montral, Canada: Curran Associates. Symmetry-Based Semantic Parsing , with Chlo Kiddon. Proceedings of the ACL-2014 Workshop on Semantic Parsing, 2014. Baltimore, MD. Exchangeable Variable Models , with Mathias Niepert. Proceedings of the Thirty-First International Conference on Machine Learning, 2014. Beijing, China: Omnipress. Approximate Lifting Techniques for Belief Propagation , with Parag Singla and Aniruddh Nath. Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014. Quebec City, Canada: AAAI Press. Learning the Structure of Sum-Product Networks , with Robert Gens. Proceedings of the Thirtieth International Conference on Machine Learning, 2013. Atlanta, GA: Omnipress. Structured Message Passing , with Vibhav Gogate. Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013. Bellevue, WA: AUAI Press. Tractable Probabilistic Knowledge Bases with Existence Uncertainty , with Austin Webb. Proceedings of the Third International Workshop on Statistical Relational Artificial Intelligence, 2013. Bellevue, WA. Discriminative Learning of Sum-Product Networks , with Robert Gens. Advances in Neural Information Processing Systems 25, 2012. Red Hook, NY: Curran Associates. Winner of the Outstanding Student Paper Award. [ Talk video ] A Tractable First-Order Probabilistic Logic , with Austin Webb. Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012. Toronto, Canada: AAAI Press. Sum-Product Networks: A New Deep Architecture , with Hoifung Poon. Proceedings of the Twenty-Seventh Conference on Uncertainty in Artificial Intelligence, 2011. Barcelona, Spain: AUAI Press. Winner of the Best Paper Award. Probabilistic Theorem Proving , with Vibhav Gogate. Proceedings of the Twenty-Seventh Conference on Uncertainty in Artificial Intelligence, 2011. Barcelona, Spain: AUAI Press. Approximation by Quantization , with Vibhav Gogate. Proceedings of the Twenty-Seventh Conference on Uncertainty in Artificial Intelligence, 2011. Barcelona, Spain: AUAI Press. Coarse-to-Fine Inference and Learning for First-Order Probabilistic Models , with Chlo Kiddon. Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011. San Francisco, CA: AAAI Press. Implementing Weighted Abduction in Markov Logic , with Jim Blythe, Jerry Hobbs, Rohit Kate and Ray Mooney. Proceedings of the Ninth International Conference on Computational Semantics, 2011. Oxford, UK, 2011: ACL SIGSEM. Learning Efficient Markov Networks , with Vibhav Gogate and Austin Webb. Advances in Neural Information Processing Systems 23, 2010. Red Hook, NY: Curran Associates. Approximate Inference by Compilation to Arithmetic Circuits , with Daniel Lowd. Advances in Neural Information Processing Systems 23, 2010. Red Hook, NY: Curran Associates. Formula-Based Probabilistic Inference , with Vibhav Gogate. Proceedings of the Twenty-Sixth Conference on Uncertainty in Artificial Intelligence, 2010. Catalina Island, CA: AUAI Press. The algorithm described in this paper was co-winner of the UAI-2010 Inference Challenge. Unsupervised Ontology Induction from Text , with Hoifung Poon. Proceedings of the Forty-Eighth Annual Meeting of the Association for Computational Linguistics, 2010. Uppsala, Sweden: ACL. Efficient Lifting for Online Probabilistic Inference , with Aniruddh Nath. Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010. Atlanta, GA: AAAI Press. Efficient Belief Propagation for Utility Maximization and Repeated Inference , with Aniruddh Nath. Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010. Atlanta, GA: AAAI Press. Bottom-Up Learning of Markov Network Structure , with Jesse Davis. Proceedings of the Twenty-Seventh International Conference on Machine Learning, 2010. Haifa, Israel: Omnipress. Learning Markov Logic Networks Using Structural Motifs , with Stanley Kok. Proceedings of the Twenty-Seventh International Conference on Machine Learning, 2010. Haifa, Israel: Omnipress. Unsupervised Semantic Parsing , with Hoifung Poon. Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009. Singapore: ACL. Winner of the Best Paper Award. Deep Transfer via Second-Order Markov Logic , with Jesse Davis. Proceedings of the Twenty-Sixth International Conference on Machine Learning (pp. 217-224), 2009. Montral, Canada: Omnipress. Learning Markov Logic Network Structure via Hypergraph Lifting , with Stanley Kok. Proceedings of the Twenty-Sixth International Conference on Machine Learning (pp. 505-512), 2009. Montral, Canada: Omnipress. A Language for Relational Decision Theory , with Aniruddh Nath. Proceedings of the Sixth International Workshop on Statistical Relational Learning, 2009. Leuven, Belgium. Joint Unsupervised Coreference Resolution with Markov Logic , with Hoifung Poon. Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing (pp. 649-658), 2008. Honolulu, HI: ACL. Extracting Semantic Networks from Text via Relational Clustering , with Stanley Kok. Proceedings of the Nineteenth European Conference on Machine Learning (pp. 624-639), 2008. Antwerp, Belgium: Springer. Learning Arithmetic Circuits , with Daniel Lowd. Proceedings of the Twenty-Fourth Conference on Uncertainty in Artificial Intelligence (pp. 383-392), 2008. Helsinki, Finland: AUAI Press. Lifted First-Order Belief Propagation , with Parag Singla. Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence (pp. 1094-1099), 2008. Chicago, IL: AAAI Press. Hybrid Markov Logic Networks , with Jue Wang. Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence (pp. 1106-1111), 2008. Chicago, IL: AAAI Press. A General Method for Reducing the Complexity of Relational Inference and its Application to MCMC , with Hoifung Poon and Marc Sumner. Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence (pp. 1075-1080), 2008. Chicago, IL: AAAI Press. Efficient Weight Learning for Markov Logic Networks , with Daniel Lowd. Proceedings of the Eleventh European Conference on Principles and Practice of Knowledge Discovery in Databases (pp. 200-211), 2007. Warsaw, Poland: Springer. Markov Logic in Infinite Domains , with Parag Singla. Proceedings of the Twenty-Third Conference on Uncertainty in Artificial Intelligence (pp. 368-375), 2007. Vancouver, Canada: AUAI Press. Joint Inference in Information Extraction , with Hoifung Poon. Proceedings of the Twenty-Second National Conference on Artificial Intelligence (pp. 913-918), 2007. Vancouver, Canada: AAAI Press. Statistical Predicate Invention , with Stanley Kok. Proceedings of the Twenty-Fourth International Conference on Machine Learning (pp. 433-440), 2007. Corvallis, Oregon: ACM Press. Recursive Random Fields , with Daniel Lowd. Proceedings of the Twentieth International Joint Conference on Artificial Intelligence (pp. 950-955), 2007. Hyderabad, India: AAAI Press. Entity Resolution with Markov Logic , with Parag Singla. Proceedings of the Sixth IEEE International Conference on Data Mining (pp. 572-582), 2006. Hong Kong: IEEE Computer Society Press. Unifying Logical and Statistical AI , with various coauthors. Proceedings of the Twenty-First National Conference on Artificial Intelligence (pp. 2-7), 2006. Boston, MA: AAAI Press. Sound and Efficient Inference with Probabilistic and Deterministic Dependencies , with Hoifung Poon. Proceedings of the Twenty-First National Conference on Artificial Intelligence (pp. 458-463), 2006. Boston, MA: AAAI Press. Memory-Efficient Inference in Relational Domains , with Parag Singla. Proceedings of the Twenty-First National Conference on Artificial Intelligence (pp. 488-493), 2006. Boston, MA: AAAI Press. Object Identification with Attribute-Mediated Dependences , with Parag Singla. Proceedings of the Ninth European Conference on Principles and Practice of Knowledge Discovery in Databases (pp. 297-308), 2005. Porto, Portugal: Springer. Winner of the Best Paper Award. Learning the Structure of Markov Logic Networks , with Stanley Kok. Proceedings of the Twenty-Second International Conference on Machine Learning (pp. 441-448), 2005. Bonn, Germany: ACM Press. Naive Bayes Models for Probability Estimation , with Daniel Lowd. Proceedings of the Twenty-Second International Conference on Machine Learning (pp. 529-536), 2005. Bonn, Germany: ACM Press. Discriminative Training of Markov Logic Networks , with Parag Singla. Proceedings of the Twentieth National Conference on Artificial Intelligence (pp. 868-873), 2005. Pittsburgh, PA: AAAI Press. Markov Logic: A Unifying Framework for Statistical Relational Learning , with Matt Richardson. Proceedings of the ICML-2004 Workshop on Statistical Relational Learning and its Connections to Other Fields (pp. 49-54), 2004. Banff, Canada: IMLS. Multi-Relational Record Linkage , with Parag. Proceedings of the KDD-2004 Workshop on Multi-Relational Data Mining (pp. 31-48), 2004. Seattle, CA: ACM Press. Adversarial Classification , with Nilesh Dalvi, Mausam, Sumit Sanghai and Deepak Verma. Proceedings of the Tenth International Conference on Knowledge Discovery and Data Mining (pp. 99-108), 2004. Seattle, WA: ACM Press. Learning Bayesian Network Classifiers by Maximizing Conditional Likelihood , with Dan Grossman. Proceedings of the Twenty-First International Conference on Machine Learning (pp. 361-368), 2004. Banff, Canada: ACM Press. iMAP: Discovering Complex Semantic Matches between Database Schemas , with Robin Dhamankar, Yoonkyong Lee, AnHai Doan and Alon Halevy. Proceedings of the 2004 ACM SIGMOD International Conference on Management of Data (pp. 383-394), 2004. Paris, France: ACM Press. Building Large Knowledge Bases by Mass Collaboration , with Matt Richardson. Proceedings of the Second International Conference on Knowledge Capture (pp. 129-137), 2003. Sanibel Island, FL: ACM Press. Learning Programs from Traces Using Version Space Algebra , with Tessa Lau and Dan Weld. Proceedings of the Second International Conference on Knowledge Capture (pp. 36-43), 2003. Sanibel Island, FL: ACM Press. Trust Management for the Semantic Web , with Matt Richardson and Rakesh Agrawal. Proceedings of the Second International Semantic Web Conference (pp. 351-368), 2003. Sanibel Island, FL: Springer. Learning with Knowledge from Multiple Experts , with Matt Richardson. Proceedings of the Twentieth International Conference on Machine Learning (pp. 624-631), 2003. Washington, DC: Morgan Kaufmann. Mining Massive Relational Databases , with Geoff Hulten and Yeuhi Abe. Proceedings of the IJCAI-2003 Workshop on Learning Statistical Models from Relational Data (pp. 53-60), 2003. Acapulco, Mexico: IJCAII. Research on Statistical Relational Learning at the University of Washington , with various coauthors. Proceedings of the IJCAI-2003 Workshop on Learning Statistical Models from Relational Data (pp. 43-47), 2003. Acapulco, Mexico: IJCAII. Relational Markov Models and their Application to Adaptive Web Navigation , with Corin Anderson and Dan Weld. Proceedings of the Eighth International Conference on Knowledge Discovery and Data Mining (pp. 143-152), 2002. Edmonton, Canada: ACM Press. Mining Knowledge-Sharing Sites for Viral Marketing , with Matt Richardson. Proceedings of the Eighth International Conference on Knowledge Discovery and Data Mining (pp. 61-70), 2002. Edmonton, Canada: ACM Press. Mining Complex Models from Arbitrarily Large Databases in Constant Time , with Geoff Hulten. Proceedings of the Eighth International Conference on Knowledge Discovery and Data Mining (pp. 525-531), 2002. Edmonton, Canada: ACM Press. Representing and Reasoning about Mappings between Domain Models , with Jayant Madhavan, Phil Bernstein and Alon Halevy. Proceedings of the Eighteenth National Conference on Artificial Intelligence (pp. 80-86), 2002. Edmonton, Canada: AAAI Press. Learning to Map between Ontologies on the Semantic Web , with AnHai Doan, Jayant Madhavan and Alon Halevy. Proceedings of the Eleventh International World Wide Web Conference (pp. 662-673), 2002. Honolulu, HI: ACM Press. Learning from Infinite Data in Finite Time , with Geoff Hulten. Advances in Neural Information Processing Systems 14 (pp. 673-680), 2002. Cambridge, MA: MIT Press. The Intelligent Surfer: Probabilistic Combination of Link and Content Information in PageRank , with Matt Richardson. Advances in Neural Information Processing Systems 14 (pp. 1441-1448), 2002. Cambridge, MA: MIT Press. Mining the Network Value of Customers , with Matt Richardson. Proceedings of the Seventh International Conference on Knowledge Discovery and Data Mining (pp. 57-66), 2001. San Francisco, CA: ACM Press. Mining Time-Changing Data Streams , with Geoff Hulten and Laurie Spencer. Proceedings of the Seventh International Conference on Knowledge Discovery and Data Mining (pp. 97-106), 2001. San Francisco, CA: ACM Press. Adaptive Web Navigation for Wireless Devices , with Corin Anderson and Dan Weld. Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence (pp. 879-884), 2001. Seattle, WA: Morgan Kaufmann. A General Method for Scaling Up Machine Learning Algorithms and its Application to Clustering , with Geoff Hulten. Proceedings of the Eighteenth International Conference on Machine Learning (pp. 106-113), 2001. Williamstown, MA: Morgan Kaufmann. Reconciling Schemas of Disparate Data Sources: A Machine-Learning Approach , with AnHai Doan and Alon Halevy. Proceedings of the 2001 ACM SIGMOD International Conference on Management of Data (pp. 509-520), 2001. Santa Barbara, CA: ACM Press. Personalizing Web Sites for Mobile Users , with Corin Anderson and Dan Weld. Proceedings of the Tenth International World Wide Web Conference (pp. 565-575), 2001. Hong Kong: ACM Press. Mixed Initiative Interfaces for Learning Tasks: SMARTedit Talks Back , with Steve Wolfman, Tessa Lau and Dan Weld. Proceedings of the 2001 Conference on Intelligent User Interfaces (pp. 167-174), 2001. Santa Fe, NM: ACM Press. Mining High-Speed Data Streams , with Geoff Hulten. Proceedings of the Sixth International Conference on Knowledge Discovery and Data Mining (pp. 71-80), 2000. Boston, MA: ACM Press. Winner of the 2015 SIGKDD Test of Time Award. A Unified Bias-Variance Decomposition for Zero-One and Squared Loss . Proceedings of the Seventeenth National Conference on Artificial Intelligence (pp. 564-569), 2000. Austin, TX: AAAI Press. Version Space Algebra and its Application to Programming by Demonstration , with Tessa Lau and Dan Weld. Proceedings of the Seventeenth International Conference on Machine Learning (pp. 527-534), 2000. Stanford, CA: Morgan Kaufmann. A Unified Bias-Variance Decomposition and its Applications . Proceedings of the Seventeenth International Conference on Machine Learning (pp. 231-238), 2000. Stanford, CA: Morgan Kaufmann. Bayesian Averaging of Classifiers and the Overfitting Problem . Proceedings of the Seventeenth International Conference on Machine Learning (pp. 223-230), 2000. Stanford, CA: Morgan Kaufmann. Learning Source Descriptions for Data Integration , with AnHai Doan and Alon Levy. Proceedings of the Third International Workshop on the Web and Databases (pp. 81-86), 2000. Dallas, TX: ACM SIGMOD. MetaCost: A General Method for Making Classifiers Cost-Sensitive . Proceedings of the Fifth International Conference on Knowledge Discovery and Data Mining (pp. 155-164), 1999. San Diego, CA: ACM Press. Winner of the Best Paper Award for Fundamental Research. Process-Oriented Estimation of Generalization Error . Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence (pp. 714-719), 1999. Stockholm, Sweden: Morgan Kaufmann. Occam's Two Razors: The Sharp and the Blunt . Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining (pp. 37-43), 1998. New York, NY: AAAI Press. Winner of the Best Paper Award for Fundamental Research. A Process-Oriented Heuristic for Model Selection . Proceedings of the Fifteenth International Conference on Machine Learning (pp. 127-135), 1998. Madison, WI: Morgan Kaufmann. How to Get a Free Lunch: A Simple Cost Model for Machine Learning Applications . Proceedings of the AAAI-1998/ICML-1998 Workshop on the Methodology of Applying Machine Learning (pp. 1-7), 1998. Madison, WI: AAAI Press. Knowledge Acquisition from Examples Via Multiple Models . Proceedings of the Fourteenth International Conference on Machine Learning (pp. 98-106), 1997. Nashville, TN: Morgan Kaufmann. Why Does Bagging Work? A Bayesian Account and its Implications . Proceedings of the Third International Conference on Knowledge Discovery and Data Mining (pp. 155-158), 1997. Newport Beach, CA: AAAI Press. Bayesian Model Averaging in Rule Induction . Preliminary Papers of the Sixth International Workshop on Artificial Intelligence and Statistics (pp. 157-164), 1997. Ft. Lauderdale, FL: Society for Artificial Intelligence and Statistics. Linear-Time Rule Induction . Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (pp. 96-101), 1996. Portland, OR: AAAI Press. Using Partitioning to Speed Up Specific-to-General Rule Induction . Proceedings of the AAAI-1996 Workshop on Integrating Multiple Learned Models (pp. 29-34), 1996. Portland, OR: AAAI Press. Beyond Independence: Conditions for the Optimality of the Simple Bayesian Classifier , with Michael Pazzani. Proceedings of the Thirteenth International Conference on Machine Learning (pp. 105-112), 1996. Bari, Italy: Morgan Kaufmann. From Instances to Rules: A Comparison of Biases . Proceedings of the Third International Workshop on Multistrategy Learning (pp. 147-154), 1996. Harpers Ferry, WV: AAAI Press. Two-Way Induction . Proceedings of the Seventh IEEE International Conference on Tools with Artificial Intelligence (pp. 182-189), 1995. Herndon, VA: IEEE Computer Society Press. Rule Induction and Instance-Based Learning: A Unified Approach . Proceedings of the Fourteenth International Joint Conference on Artificial Intelligence (pp. 1226-1232), 1995. Montral, Canada: Morgan Kaufmann. The RISE System: Conquering Without Separating . Proceedings of the Sixth IEEE International Conference on Tools with Artificial Intelligence (pp. 704-707), 1994. New Orleans, LA: IEEE Computer Society Press. Teaching Winter 2018: Statistical Methods in Computer Science (CSE 515) . Autumn 2017: PMP Data Mining (CSEP 546) . Spring 2017: PMP Data Mining (CSEP 546) . Winter 2017: Statistical Methods in Computer Science (CSE 515) . Spring 2016: PMP Data Mining (CSEP 546) . Winter 2016: Statistical Methods in Computer Science (CSE 515) . Spring 2015: Machine Learning (CSE 446) . Winter 2015: Statistical Methods in Computer Science (CSE 515) . Spring 2014: Artificial Intelligence I (CSE 573) . Winter 2014: Machine Learning (CSE 446) . Spring 2012: PMP Data Mining (CSEP 546) . Autumn 2011: Artificial Intelligence II (CSE 574) . Spring 2011: Foundations of Computing II (CSE 312) . Autumn 2010: Introduction to Artificial Intelligence (CSE 473) . Winter 2010: Machine Learning (CSE 546) . Spring 2009: Statistical Methods in Computer Science (CSE 515) . Winter 2009: Machine Learning (CSE 446) . Autumn 2008: Markov Logic Networks (Carnegie Mellon 10-803) . Spring 2008: Data Mining (CSE 546) . Autumn 2007: Applications of Artificial Intelligence (CSEP 573) . Spring 2007: PMP Data Mining (CSEP 546) . Autumn 2006: Artificial Intelligence I (CSE 573) . Spring 2005: Artificial Intelligence II (CSE 574) . Autumn 2004: PMP Data Mining (CSEP 546) . Spring 2004: Statistical Methods in Computer Science (CSE 590ST) . Autumn 2003: Data Mining (CSE 546) . Spring 2003: PMP Data Mining (CSEP 546) . Autumn 2002: Introduction to Artificial Intelligence (CSE 473) . Spring 2002: Introduction to Artificial Intelligence (CSE 473) . Autumn 2001: Data Mining (CSE 546) . Spring 2001: Applications of Artificial Intelligence (CSE 592) . Winter 2001: Machine Learning and Data Mining (CSE 590PD) . Autumn 2000: Introduction to Artificial Intelligence (CSE 473) . Spring 2000: Introduction to Artificial Intelligence (CSE 473) . Winter 2000: Artificial Intelligence II (CSE 574) . Autumn 1999: Artificial Intelligence I (CSE 573) . Other Interests Literature, cinema, music, travel. Sports: swimming, long-distance running. Paul G. Allen School of Computer Science & Engineering, University of Washington, Seattle Last modified: October 26, 2018 diff --git a/src/data/compiled_bios/3821.txt b/src/data/compiled_bios/3821.txt new file mode 100644 index 0000000000..3690e8366c --- /dev/null +++ b/src/data/compiled_bios/3821.txt @@ -0,0 +1 @@ +Michael D. Ernst is a Professor in the Computer Science & Engineering department at the University of Washington . Ernst's research aims to make software more reliable, more secure, and easier (and more fun!) to produce. His primary technical interests are in software engineering and related areas, including programming languages, type theory, security, program analysis, bug prediction, testing, and verification. Ernst's research combines strong theoretical foundations with realistic experimentation, with an eye to changing the way that software developers work. Dr. Ernst was previously a tenured professor at MIT and, before that, a researcher at Microsoft Research . More information is available at his homepage: http://www.cs.washington.edu/homes/mernst/ . diff --git a/src/data/compiled_bios/3822.txt b/src/data/compiled_bios/3822.txt new file mode 100644 index 0000000000..19b96f1263 --- /dev/null +++ b/src/data/compiled_bios/3822.txt @@ -0,0 +1 @@ + Oren Etzioni's Home Page Professor Oren Etzioni As of January 1, 2014 I am the CEO of the Allen Institute for AI (AI2). I can still be reached at my UW email address, but my new homepage is here . diff --git a/src/data/compiled_bios/3823.txt b/src/data/compiled_bios/3823.txt new file mode 100644 index 0000000000..a10c8d8d6f --- /dev/null +++ b/src/data/compiled_bios/3823.txt @@ -0,0 +1 @@ + I am an Assistant Professor in the Department of Computer Science & Engineering at the University of Washington. Before this, I spent a year as a postdoctoral fellow at the Robotics Institute at Carnegie Mellon University working with Martial Hebert and Alyosha Efros . I got my PhD from University of Illinois at Urbana-Champaign under the supervision of David Forsyth . During my PhD I also had the privilege of working closely with Derek Hoiem . I am mainly interested in Computer Vision, Machine Learning, the intersection of Natural Language and Vision, and analysing the role of Semantics in Visual Understandings. More specifically, my research interests include: Object and action recognition Attribute based object representations and cross category generalization Generating richer descriptions for images Aspect issues in human activity and object recognition Knowledge trasnfer, transfer learning and it's applications in computer vision Scene understanding Multitask learning and annotation prediction Sign language recognition Image segmentation Please see my webpage for more details. diff --git a/src/data/compiled_bios/3824.txt b/src/data/compiled_bios/3824.txt new file mode 100644 index 0000000000..164092b681 --- /dev/null +++ b/src/data/compiled_bios/3824.txt @@ -0,0 +1 @@ +I am an Associate Professor of Computer Science & Engineering at the University of Washington. I am also a core member of the DUB Group, our cross-campus initiative advancing Human-Computer Interaction and Design research and education. My broad research interests are in Human-Computer Interaction, User Interface Software and Technology, and Ubiquitous Computing. My focus is on developing, deploying, and evaluating new approaches to the human obstacles surrounding widespread everyday adoption of ubiquitous sensing and intelligent computing technologies. I pursue this work together with an outstanding group of collaborators and amazing advisees: Daniel Epstein Ravi Karkar Katerena Kuksenok Greg Nelson Laura Pina Anne Ross Jessie Schroeder Amanda Swearngin Xiaoyi Zhang My research has been directly supported by the National Science Foundation and by the Agency for Healthcare Research and Quality. My group has also been generously supported by FXPAL, Google, Intel, Microsoft, and Nokia. diff --git a/src/data/compiled_bios/3825.txt b/src/data/compiled_bios/3825.txt new file mode 100644 index 0000000000..59df29c408 --- /dev/null +++ b/src/data/compiled_bios/3825.txt @@ -0,0 +1 @@ + Dieter Fox | Homepage of Dieter Fox, Professor of Computer Science & Engineering Dieter Fox Menu Skip to content Home RSE-Lab Publications Teaching Contact About me I am a Professor in the Department of Computer Science & Engineering at the University of Washington. I grew up in Bonn, Germany, and received my Ph.D. in 1998 from the Computer Science Department at the University of Bonn. I joined the UW faculty in the fall of 2000. I am currently on partial leave from UW and joined Nvidia to start a Robotics Research Lab in Seattle. Heres some info on the opening of that lab , which is located at 4545 Roosevelt Way NE. My research interests are in robotics, artificial intelligence, and state estimation. I am the head of the UW Robotics and State Estimation Lab RSE-Lab and recently served as the academic PI of the Intel Science and Technology Center for Pervasive Computing ISTC-PC . Im a Fellow of the AAAI and IEEE , and served as an editor of the IEEE Transactions on Robotics . Research: The goal of my research is to enable systems to interact with people and their environment in an intelligent way. A lot of my work focuses on perception and its connection to control, where we develop techniques to extract relevant information from raw sensor data. Application areas of my work include human activity recognition, 3D mapping and tracking, and robot manipulation and control. Students / post-docs: I am fortunate to work with a great group of graduate students, undergraduate students, and post-docs in my lab. We discuss research in weekly individual and group meetings. Publications: The research results of my group are published in the main robotics as well as AI, machine learning, and computer vision conferences and journals. Teaching: I mostly teach courses in robotics and AI, both at the undergraduate and graduate level. Undergraduate capstone courses cover robotics and interactive systems enabled by RGB-D cameras. Activities and Recognition IEEE Fellow, AAAI Fellow Editor of IEEE Transactions on Robotics (T-RO), 2010-2015 Program Chair: Robotics Science and Systems (RSS), 2013 Program Chair: AAAI Conference, 2008 RSS Foundation Board member JAIR Advisory Board member Best Paper: CVPR-15, ISWC-05, AAAI-04,ICRA-00, DAGM-99, AAAI-98, IROS-98 AAAI Classic Paper Award, 2016, 2017 Ubicomp 10-Year Impact Award, 2013 AIJ Prominent Paper Award, 2012 Best Cognitive Robotics Paper ICRA 2014;Best Vision Paper ICRA 2011, 2017;Best Student Paper IROS 2007 ECCAI Artificial Intelligence Dissertation Award, 2000 Dieter Fox Computer Science & Engineering University of Washington Recent Posts New position at Nvidia Research October 31, 2017 Checkout my IROS 2017 Plenary October 21, 2017 ICRA-16 Keynote online June 10, 2016 Welcome new UW robotics faculty October 2, 2015 DynamicFusion Paper wins Best Paper Award at CVPR! June 11, 2015 WordPress Theme: Visual diff --git a/src/data/compiled_bios/3826.txt b/src/data/compiled_bios/3826.txt new file mode 100644 index 0000000000..44abe70897 --- /dev/null +++ b/src/data/compiled_bios/3826.txt @@ -0,0 +1 @@ + Emily B. Fox Homepage of Emily B. Fox Emily Beth Fox University of Washington Home Publications Teaching Software Group Contact 2017 Emily Fox Biography Emily Fox is an Associate Professor in the Paul G. Allen School of Computer Science & Engineering and Department of Statistics at the University of Washington, and is the Amazon Professor of Machine Learning. She received an S.B. in 2004 and Ph.D. in 2009 from the Department of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology (MIT). She has been awarded a Presidential Early Career Award for Scientists and Engineers (PECASE, 2017), Sloan Research Fellowship (2015), ONR Young Investigator award (2015), NSF CAREER award (2014) , National Defense Science and Engineering Graduate (NDSEG) Fellowship, NSF Graduate Research Fellowship, NSF Mathematical Sciences Postdoctoral Research Fellowship, Leonard J. Savage Thesis Award in Applied Methodology (2009), and MIT EECS Jin-Au Kong Outstanding Doctoral Thesis Prize (2009). Her research interests are in large-scale Bayesian dynamic modeling and computations. Academic Positions Present 2016 Associate Professor University of Washington, Paul G. Allen School of Computer Science & Engineering Present 2016 Associate Professor University of Washington, Department of Statistics Present 2016 Adjunct Associate Professor University of Washington, Department of Electrical Engineering 2016 2012 Assistant Professor University of Washington, Department of Statistics 2016 2012 Adjunct Assistant Professor University of Washington, Paul G. Allen School of Computer Science & Engineering 2016 2012 Adjunct Assistant Professor University of Washington, Department of Electrical Engineering 2012 2011 Assistant Professor University of Pennsylvania, The Wharton School, Department of Statistics Education & Training 2011 2009 Postdoctoral scholar Duke University, Department of Statistical Science Ph.D. 2009 Ph.D. in Electrical Engineering & Computer Science MIT Department of EECS E.E. 2008 Electrical Engineer MIT Department of EECS M.Eng. 2005 Master of Engineering MIT Department of EECS S.B. 2004 Bachelor of Science in Electrical Engineering MIT Department of EECS Honors and Awards 2018 Amazon AWS Machine Learning Research Award 2017 Presidential Early Career Award in Science & Engineering (PECASE) 2017 AWIS Seattle Chapter Award for Scientific Advancement in STEM 2015 ONR Young Investigator Award 2015 Sloan Research Fellowship 2014 NSF CAREER Award Scaling up Modeling and Statistical Inference for Massive Collections of Time Series NSF CAREER Award 1350133 2012 Amazon Machine Learning Professorship 2009 Leonard J. Savage Award for Best Thesis in Applied Methodology 2009 MIT EECS Jin-Au Kong Outstanding Doctoral Thesis Prize 2009 National Science Foundation Mathematical Sciences Postdoctoral Research Fellowship 2005 National Defense Science and Engineering Graduate (NDSEG) Fellowship 2005 National Science Foundation Graduate Research Fellowship 2005 Chorafas Award for excellent academic performance and superior contributions in research diff --git a/src/data/compiled_bios/3827.txt b/src/data/compiled_bios/3827.txt new file mode 100644 index 0000000000..6c197a2ecc --- /dev/null +++ b/src/data/compiled_bios/3827.txt @@ -0,0 +1 @@ + Jon Froehlich Home Publications Talks Advising Teaching CV Calendar Jon Froehlich Assistant Professor, Computer Science Affiliate Assistant Professor, iSchool Member: HCIL & UMIACS Founder: Makeability Lab & Hackerspace University of Maryland, College Park My Students Grad Students Undergrads Alumni Contact twitter: @jonfroehlich email: jonf@umd.edu CS Office: 3173 AV Williams Department of Computer Science University of Maryland College Park, MD 20742 HCIL Office: 2117F Hornbake Library, South Human-Computer Interaction Lab University of Maryland College Park, MD 20742 Travel/Events Moving to UW I have accepted a faculty position in the Paul Allen School of Computer Science and Engineering at the University of Washington starting on Sept 1, 2017 ( link ). If you're interested in working with me, please apply to UW. About Me I am an Assistant Professor in the Department of Computer Science at the University of Maryland, College Park with an affiliate appointment in the College of Information Studies . I am also a member of the Human-Computer Interaction Laboratory (HCIL), the Institute for Advanced Computer Studies (UMIACS) , and the founder of the new HCIL Hackerspace and HCIL research lablet: the Makeability Lab . Research in the Makeability Lab is funded, in part, by a Google Faculty Research Award, a 3M Faculty Award, Nokia, the NSF, and the Department of Defense's Clinical and Rehabilitative Medicine Research Program. I received my Phd in Computer Science from the University of Washington in December 2011 where I was a Microsoft Research Graduate Fellow and the 2010 College of Engineering "Graduate Innovator of the Year." My PhD dissertation entitled "Sensing and Feedback of Everyday Activities to Promote Environmental Behaviors" won numerous awards including the 2012 University of Washington Distinguished Dissertation Award and an honorable mention for the national 2012 Council of Graduate Schools Distinguished Dissertation Award in Mathematics, Physical Sciences, and Engineering. At UW, I was co-advised by James Landay and Shwetak Patel . I also have an MS in Information and Computer Science from the University of California, Irvine where I was advised by Paul Dourish . During my graduate studies, I was fortunate to intern at a number of great research labs including Telefonica Research in Barcelona, Microsoft Research in Redmond, and Intel Research in Seattle. My work has been published in over 35 scientific peer-reviewed publications in many top venues including ACM CHI, UbiComp, IJCAI, MobiSys, ASSETS, and ICSE earning nine paper awards in total: four best paper awards (CHI'10, CHI'13, ASSETS'13, CHI'16 LBW) and five best paper honorable mentions (UbiComp'09, CHI'12, CHI'13, 2 x CHI'15). In addition, our UIST'14 paper on Tohme was selected for the ACM Computing Reviews 'Best of Computing 2014' list. Please see my publication page and/or Google Scholar page for more details. Teaching Focus My teaching largely mirrors my research interests: I teach a physical making class called Tangible Interactive Computing ( e.g., Spring 2015 ) as well as an intro class on HCI ( e.g., Fall 2014 ). My teaching statement is available here . More about teaching here . Research Focus My research focuses on designing, building, and evaluating interactive technology that addresses high value social issues such as environmental sustainability, computer accessibility, and personalized health and wellness. This work often involves the entire spectrum of information flow: from sensing physical events, to intelligently interpreting/classifying this data, to building visualizations that inform and motivate behavior. Please see my list of publications here . I have been increasingly interested in research that expands the materiality of computing such as electronic textiles (e-textiles). Here's a recent talk I gave at the National Academy of Sciences as part of their DC Art Science Evening Rendezvous (DASER) program. My research interests can broadly be broken down into four social application areas: health, environmental sustainability, smart cities, and accessibility. I have also been increasingly involved in research that intersects with learning science and new learning technologies (e.g., BodyVis, MakerShoe). research focus diagram inspired by professor bjoern hartmann Sensing and Feedback Systems for Environmental Behaviors There is often a profound disconnect between our everyday behaviors and the effects those behaviors have on our health and the environment around us. In this research, I explore how technology can be used to effectively sense and report information about environmental behaviors to promote awareness and enable positive behavior change. Research questions involved here include: What behaviors should we sense and how? How, where, and when should this sensed activity data be presented? And, finally, What impact can sensing and feedback have on behavior? Smart Cities and Sustainable Transport City-wide urban infrastructures are increasingly reliant on network technology to improve and expand their services. As a consequence, our interactions in the physical world are increasingly leaving behind digital footprints. In this research, I explore how these digital footprints can reveal otherwise latent patterns of human behavior as well as implications for the improvement of city infrastructures themselves (e.g., shared bicycling programs, rail and bus systems). Health and Wellness As sensors continue to decrease in size/price and advances in machine learning enable better and more granular activity recognition, there is an enormous opportunity for new personal health applications particularly around sleeping, diet, and exercise. In the long term, I hope to continue building and studying applications that motivate positive behaviors for both health and the environment. Significant questions remain: What are the most effective strategies for motivating behaviors? Can systems adapt their strategies to fit the individual user? How can we use technology to sustain behaviors over time? What is the role of augmented reality and other forms of emerging media? For example, in the NSF-funded BodyVis project, we are exploring new approaches to sensing and visualizing anatomy and physiology using on-body sensors and e-textile visualizations to help children learn about their bodies and the health implications of their behavior. In another project called Social Fabric Fitness, we are exploring the use of custom-built e-textile displays to support running groups. Computer and World Accessibility As we increasingly rely on computers and mobile devices to support everyday tasks such as bill paying, internet browsing, and social communication, both new opportunities and new challenges emerge for those with physical and/or cognitive disabilities. My interest in computer accessibility goes beyond simply investigating how computers can be universally usable (e.g., touchscreen accessibility) but also in how computers can be used to make the world more accessible as well (e.g., studying sidewalk accessibility). For example, with the GlassEar project, we designed, developed, and evaluated new head-mounted display visualizations to help persons with hearing loss localize and identify sounds. In another project, called HandSight (which is funded by the DOD), we are exploring the use of tiny, endoscopic finger-mounted cameras to provide information about non-tactile surfaces to the visually impaired. The video below focuses on one application, in particular, real-time OCR using the finger as a scanner. This project started in 2012 as part of a class project in my Tangible Interactive Computing graduate course ( here's a video of the prototype at that time ). Research Approach Although my methods extend largely from Ubiquitous Computing and Human-Computer Interaction, my research is additionally informed by perspectives in design, information visualization, economics, and behavioral and environmental psychology. I also apply knowledge from data-intensive areas such as machine learning and signal processing to help build and evaluate my sensing systems. My research process is iterative, often beginning with lightweight formative studies and, crucially, concluding with field deployments of working technology. In this way, I am interested not only in building new technologies but in studying their actual effectiveness in the field. Finally, as my work is often interdisciplinary, I frequently collaborate with researchers both within various sub-disciplines of computer science (e.g., machine learning) as well as outside of computer science (e.g., electrical engineering and psychology). Prospective Students I am looking for undergraduate and graduate students passionate about investigating the role of technology in solving high-value social problems. If this interests you, please contact me so that we can setup a time to chat about mutual interests and potential research projects. Also, read this . News diff --git a/src/data/compiled_bios/3828.txt b/src/data/compiled_bios/3828.txt new file mode 100644 index 0000000000..5da2f27304 --- /dev/null +++ b/src/data/compiled_bios/3828.txt @@ -0,0 +1 @@ +Zorah Fung is a lecturer for the introductory programming courses at University of Washington Computer Science & Engineering. She earned her Bachelors and Masters in Computer Science from UW CSE. When Zorah is not teaching, she works as a Software Engineer for bay area startup, Sift Science . While studying at the UW, Zorah served as a teaching assistant and lecturer in UW CSEs introductory programming courses, as well as chair of the ACM-W (Association of Computing Machinery, Womens Chapter). She was recognized with the universitys Bob Bandes Memorial Award for Excellence in Teaching in 2013. Zorah has been heavily involved in K-12 outreach programs in computer science, including volunteering her time and expertise to help develop lesson plans and work with students at the middle school level to get them excited about computing. diff --git a/src/data/compiled_bios/3829.txt b/src/data/compiled_bios/3829.txt new file mode 100644 index 0000000000..04dd76639f --- /dev/null +++ b/src/data/compiled_bios/3829.txt @@ -0,0 +1 @@ + Associate Professor Computer Science & Engineering Shyam Gollakota leads the Networks and Mobile Systems Lab at UW CSE. His research covers a variety of topics, including networking, human-computer interaction, battery-free computing and mobile health. Shyam is the recipient of a 2015 National Science Foundation Career Award and an Alfred P. Sloan Fellowship. He was named among MIT Technology Reviews 35 Innovators Under 35 and Forbes 30 Under 30 in energy for his ground-breaking work on ambient backscatter, which enables battery-free devices to be powered using ambient wireless signals. Shyams research has earned a number of Best Paper awards and has been covered extensively by the media, including the New York Times, Slate, Scientific American and Wired. He earned his M.S. and Ph.D. degrees from MIT and his bachelors degree from IIT Madras. To learn more about Shyam and his work, visit his website . diff --git a/src/data/compiled_bios/383.txt b/src/data/compiled_bios/383.txt new file mode 100644 index 0000000000..2a96abd32d --- /dev/null +++ b/src/data/compiled_bios/383.txt @@ -0,0 +1 @@ +Name: Ozbirn, Greg:: Position: Senior Lecturer III (CS & CE):: Degrees: M.S., Computer Science, Southern Methodist University, 2000; B.S., Computer Science, Harding University, 1987; Major Honors and Awards: Teaching Award, 2003 and 2012; diff --git a/src/data/compiled_bios/3830.txt b/src/data/compiled_bios/3830.txt new file mode 100644 index 0000000000..d27436dce4 --- /dev/null +++ b/src/data/compiled_bios/3830.txt @@ -0,0 +1 @@ + Dan Grossman Dan Grossman Professor and Deputy Director Paul G. Allen School of Computer Science & Engineering University of Washington AC101 Paul G. Allen Center, Box 352350 185 Stevens Way Seattle, WA 98195-2350 206-616-1124 Paul G. Allen Center Room 574 I will move to the Bill & Melinda Gates Center, CSE2 Room 309, on February 25. I have not moved yet. See also: Publications Teaching Materials Presentations Short Biography Teaching I have a free programming-languages course on Coursera Materials I have packaged for others to use and adapt Web pages for full courses: CSE332 Data Abstractions Sp12 Sp10 CSE341 Programming Languages Fa18 Fa17 Sp17 Sp16 Sp13 Wi13 Fa11 Sp08 Wi08 Fa04 Sp04 CSE505 Concepts of Programming Languages Fa12 Wi12 Fa09 Fa08 Fa07 Fa06 Fa05 Fa03 CSE142 Computer Programming I Sp09 CSE303 Concepts and Tools for Software Development Sp07 Wi06 Sp05 CSE331 Software Design and Implementation Sp15 Fa14 Wi14 CSE351 The Hardware/Software Interface Sp18 Wi16 CSE373 Data Structures & Algorithms (for non-majors) Fa13 CSE506 Advanced Topics in Programming Languages Wi07 CSEP505 Programming Languages Au16 Wi09 Sp06 CSE590dg Language-Based Techniques for Improving C-Level Software Quality Wi04 Harvard CS152 Programming Langauges Sp11 In Winter Quarter, I co-lead the Leadership Seminar Series (CSE390L), with Ed Lazowska: Wi19 Wi18 Wi17 Wi16 CSE590P , a graduate seminar on programming languages, meets each quarter Students Ph.D. Students Current Advisees: James Bornholt coadvised with Luis Ceze and Emina Torlak Chandrakana Nandi coadvised with Zach Tatlock Talia Ringer John Toman Bill Zorn coadvised with Zach Tatlock Ph.D. Alumni and Dissertations: Tom Bergan coadvised with Luis Ceze Avoiding State-Space Explosion in Multithreaded Programs with Input-Covering Schedules and Symbolic Execution Joe Devietti coadvised with Luis Ceze Deterministic Execution for Arbitrary Multithreaded Programs Laura Effinger-Dean Interference-Free Regions and Their Application to Compiler Optimization and Dynamic Data-Race Detection Colin Gordon coadvised with Michael Ernst Verifying Concurrent Programs by Controlling Alias Interference Benjamin Lerner Designing for Extensibility and Planning for Conflict: Experiments in Web-Browser Design Kristi Morton coadvised with Magdalena Balazinska and Hannaneh Hajishirzi Interactive Data Integration and Entity Resolution for Exploratory Visual Data Analytics Eric Mullen coadvised with Zach Tatlock Pushing the Limits of Compiler Verification Daniel Perelman coadvised with Sumit Gulwani (MSR) Program Synthesis Without Full Specifications for Novel Applications Michael Ringenburg coadvised with Luis Ceze Dynamic Analyses of Result Quality in Energy-Aware Approximate Programs Adrian Sampson coadvised with Luis Ceze Hardware and Software for Approximate Computing Benjamin Wood coadvised with Luis Ceze Software and Hardware Support for Data-Race Exceptions Research My primary research area is programming languages, encompassing theory, implementation, and design. I actively collaborate with experts in computer architecture, software engineering, and large-scale data processing. For specific work, see publications and presentations For projects and news, see the UW PLSE group . Some of my older projects are on other, sometimes outdated-but-preserved-for-posterity group pages: Sampa group , older plse page , even older WASP page . Professional Activities Boards and Such 20142020 CRA Board 20132017 ACM Education Board 20112013 Computing Curriculum: Computer Science 2013 Steering Committee 20102017 ACM Education Council 20092012 SIGPLAN Executive Committee 20092012 SIGPLAN Programming Langauges Education Board Chair 2018 PLDI Program Chair 2016 CRA Career Mentoring Workshop Co-Chair 2013 PLDI Tutorials Chair 2009 TRANSACT Program Chair 2008 UW/MSR Institute 2007 PASTE Co-Chair Oregon Summer School Co-Chair 2006 Oregon Summer School Co-Chair 2004 ICFP Poster Session Chair Program Committee 2017 PLDI 2016 ICFP 2015 ASPLOS 2014 PLDI LWMOOC APPROX WACAS 2013 SPLASH-E 2012 ASPLOS PLDI 2011 POPL VEE 2010 TLDI TRANSACT SPAA PLDIFIT 2009 ISMM OOPSLA 2008 DAMP ISMM ML 2007 POPL CC PEPM OOPSLA 2006 TRANSACT MSPC 2005 BUGS 2004 PLDI PASTE The Rest I use my Facebook page regularly if I have met you (including students, colleagues, etc.), please feel free to send me a friend request. I have this personal page that is many years out of date presently. I joined UW CSE longer ago than 55 of 78 (70.5%) other current faculty members (as of Fall 2018, including faculty starting January 2019) My academic genealogy: me | Greg Morrisett / \ Robert Harper Jeannette Wing | | Robert Constable John Guttag | | Stephen Kleene Jim Horning | | Alonzo Church Jerome Feldman | | \ Alan Perlis \ | \ Philip Franklin \ / Oswald Veblen | E.H. Moore | H.A. Newton | Michael Chasles | Simeon Poisson / \ Joseph Lagrange Pierre-Simon Laplace | | Leonhard Euler Jean Le Rond d'Alembert | Johann Bernoulli | Jacob Bernoulli | Nicolas Malebranche | Gottfried Wilhelm Leibniz Last updated: February 2019 diff --git a/src/data/compiled_bios/3831.txt b/src/data/compiled_bios/3831.txt new file mode 100644 index 0000000000..eb3f81aadd --- /dev/null +++ b/src/data/compiled_bios/3831.txt @@ -0,0 +1 @@ +Main Website Please visit my main website for details on research, teaching, publications, etc. Amazon Professor of Machine Learning Carlos Guestrin is the Amazon Professor of Machine Learning at the Paul G. Allen School of Computer Science & Engineering at the University of Washington. He was a co-founder and CEO of Turi (originally GraphLab Inc.), focusing large-scale machine learning and graph analytics, which was acquired by Apple. His previous positions include the Finmeccanica Associate Professor at Carnegie Mellon University and senior researcher at the Intel Research Lab in Berkeley. Carlos received his PhD and Master from Stanford University, and a Mechatronics Engineer degree from the University of Sao Paulo, Brazil. Carlos' work has been recognized by awards at a number of conferences and two journals: KDD 2007 and 2010, IPSN 2005 and 2006, VLDB 2004, NIPS 2003 and 2007, UAI 2005, ICML 2005, AISTATS 2010, JAIR in 2007 & 2012, and JWRPM in 2009. He is also a recipient of the ONR Young Investigator Award, NSF Career Award, Alfred P. Sloan Fellowship, IBM Faculty Fellowship, the Siebel Scholarship and the Stanford Centennial Teaching Assistant Award. Carlos was named one of the 2008 `Brilliant 10' by Popular Science Magazine, received the IJCAI Computers and Thought Award and the Presidential Early Career Award for Scientists and Engineers (PECASE). He is a former member of the Information Sciences and Technology (ISAT) advisory group for DARPA. Honors and Awards Amazon Professorship of Machine Learning 2012 IJCAII-JAIR Best Paper runner-up prize in the Journal of Artificial Intelligence Research (JAIR) for Optimal Value of Information in Graphical Models with Andreas Krause. This prize is awarded to an outstanding paper and a runner-up published in JAIR in the preceding five calendar years. Best Paper Award in the Sixteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2010) for Connecting the Dots Between News Articles with Dafna Shahaf. Best Student Paper Award in International Conference on Artificial Intelligence and Statistics (AISTATS 2010) for Focused Belief Propagation for Query-Specific Inference with Anton Chechetka. Presidential Early Career Award for Scientists and Engineers (PECASE) , 2009. IJCAI 2009 Computers and Thought Award . See the slides and video of the talk . Best Research Paper Award from the ASCE Journal of Water Resources Planning and Management Engineering for Efficient Sensor Placement Optimization for Securing Large Water Distribution Networks with Andreas Krause, Jure Leskovec, Jeanne VanBriesen, and Christos Faloutsos. Member of the DARPA Information Sciences and Technology (ISAT) advisory group. Finmeccanica Chair in Computer Science. 2008 "Brilliant 10" by Popular Science Magazine. ONR Young Investigator Award, (2008). Honorable Mention for Outstanding Paper Award in Advances in Neural Information Processing Systems (NIPS 2007) for Efficient Inference for Distributions on Permutations with Jon Huang and Leo Guibas. Best Paper Award in the Thirteenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2007) diff --git a/src/data/compiled_bios/3832.txt b/src/data/compiled_bios/3832.txt new file mode 100644 index 0000000000..9732c5bf50 --- /dev/null +++ b/src/data/compiled_bios/3832.txt @@ -0,0 +1 @@ + Hannaneh Hajishirzi - University of Washington Hannaneh Hajishirzi Home Publications Students Hannaneh Hajishirzi Assistant Professor Allen School of Computer Science and Engineering University of Washington Email: hannaneh [at] washington [dot] edu Research My research interests are in natural language processing, machine learning, and artificial intelligence. My research is currently focused designing algorithms for semantic understanding, question answering, and information extraction about different types of textual and visual data such as web data, news articles, scientific articles, and conversations. My prior research was on designing statistical relational frameworks to learn, control, and reason about complex dynamic domains. In particular my interests include: Natural Language Processing: question answering, language and vision, grounded language acquisition, semantic analysis, coreference resolution Machine Learning: deep learning, learning with weak supervision, statistical relational learning Knowledge Representation and Reasoning: probabilistic relational models Language-based Interactive systems: multimodal interaction, dialog Teaching CSE 573 - Artificial Intteligence I - Winter 2019 EE 511 - Introduction to Statistical Learning - Winter 2018 CSE 473 - Introduction to Artificial Intelligence - Spring 2014 Contact Office: Paul Allen Center 470 Phone: (206) 221-3921 Email: hannaneh [at] washington [dot] edu Last modified 2012 Hannaneh Hajishirzi diff --git a/src/data/compiled_bios/3833.txt b/src/data/compiled_bios/3833.txt new file mode 100644 index 0000000000..e5fe952137 --- /dev/null +++ b/src/data/compiled_bios/3833.txt @@ -0,0 +1 @@ + Jeffrey Heer jeffrey michael heer Professor Computer Science & Engineering University of Washington Co-Founder & CXO, Trifacta Chair, MHCI+D Program 642 Paul G. Allen Center, Box 352350 Seattle, WA 98195-2350 Fax: +1 206 543 2969 jheer (at) uw.edu UW Interactive Data Lab Twitter: @jeffrey_heer Google Scholar Admin: Lisa Merlin Tel: +1 206 543 9958 Office Hours Tue 9:00-10:00am Teaching Autumn 2018 CSE442 Data Visualization Spring 2018 CSE512 Data Visualization about bio students vita The mission of my research lab is to enhance people's ability to understand and communicate data through the design of new interactive systems for data visualization and analysis. We study the perceptual, cognitive, and social factors affecting data analysis in order to empower a diverse range of people to more effectively work with data. latest + greatest Vega : declarative languages for interactive data visualization. Papers: TVCG'17 , TVCG'16 , UIST'14 Software: Vega , Vega-Lite Interactive visualization tools for exploratory analysis and design, powered by Vega and Vega-Lite. Papers: CHI'17 , CHI'17 , TVCG'16 Projects: Voyager , Lyra , GraphScape Reverse-engineering visualizations using computer vision techniques to automatically interpret chart images. Papers: EuroVis'17 , UIST'11 Software: REV Scalable visualization : systems and experiments for low-latency interaction with massive data sets. Papers: TVCG'14 , EuroVis'13 A few years ago I presented A Brief History of Data Visualization at the Stanford HCI seminar . You can find a number of other talks online if you stalk me on YouTube . and a bunch of other stuff Data-Driven Documents (D3) for web-based visualization. D3 builds upon our earlier Protovis language. Papers: TVCG'11 , TVCG'09 Software: D3.js Data wrangling tools for scalable, interactive data transformation. Now commercialized as Trifacta . Papers: CIDR'15 , AVI'12 , UIST'11 , CHI'10 Software: Trifacta Wrangler Adaptive language translation tools that interleave human & machine translation. Now developed by Lilt . Papers: CACM'15 , UIST'14 , CHI'13 Software: Lilt.com Text analysis & visualization for large-scale text mining, model assessment, and interactive machine learning. Papers: NAACL'15 , CSCW'15 , Poetics'13 , ICML'13 , JAMIA'13 , AVI'12 , CHI'12 Graphical perception studies to inform more effective visualization design. Papers: CHI'17 , TVCG'16 , TVCG'14 , EuroVis'13 , TVCG'10 , CHI'10 , CHI'09 Social data analysis via collaborative, interactive visualizations on the web. Papers: CHI'11 , CHI'07 , VAST'07 Video: CommentSpace , Sense.us Visit the UW Interactive Data Lab for more! >> diff --git a/src/data/compiled_bios/3834.txt b/src/data/compiled_bios/3834.txt new file mode 100644 index 0000000000..ce231e83ee --- /dev/null +++ b/src/data/compiled_bios/3834.txt @@ -0,0 +1 @@ + Kurtis Heimerl, University of Washington Kurtis Heimerl University of Washington Computer Science Change ICTD@UW DUB Contact info: Office: CSE 528 Location: Computer Science & Engineering University of Washington Box 352350 Seattle, WA 98195-2350 Phone: (206) 616-6605 email: kheimerl@cs.washington.edu twitter: @kheimerl CV: Curriculum Vitae I'm Kurtis Heimerl, Assistant Professor at the University of Washington. I work with the wonderful students in the Change and ICTD groups. I work broadly on the space of technology for poverty alleviation, specifically Internet Access. I have published widely, including top conferences such as ICTD, CHI, and NSDI. I was a recipient of the 2014 MIT 35 under 35 award , the 2018 UW early career Diamond Award , and won Best Paper awards at both CHI and DySPAN. I occasionally publish on the UWCSE ICTD Blog My major research focus is on the topic of rural Internet access, with a focus on cellular technologies. My thesis topic was the The Village Base Station (VBTS), a low-cost, low-power cellular system (based off OpenBTS ). Our goal is to provide community cellular : local, community-owned cellular networks in areas without existing cellular coverage. We started a company to commercialize this research, Endaga , which then joined Facebook . Our current research focuses on two problems. First, rural infrastructure is subject to constant failures and this often requires the operator to send engineers out. This travel is expensive and causes rural infrastructure to be unsustainably expensive. We propose to instead leverage the local repair cultural and knowledge to have local laypeoples conduct simple repairs. Second, we are working on expanding our community cellular model to LTE, enabling lower-cost communications for rural areas. I advise the following students and postdocs: Spencer Sevilla (postdoc) working on community LTE. Esther Jang (grad) on rural repair. Matt Johnson (grad) on distributed LTE. Matt Ziegler (grad) on conservation. Rowan Phipps (undergrad) on cellular security. And have the following alumni from our group: Kushal Shah (masters) on big data and development. Now at Grab. Publications Also see my profiles on: Google Scholar or ACM DL . 2019 Fresh Insights: User Research Towards a Market Information Service for Bihari Vegetable Farmers Matthew Ziegler, Lokesh Garg, Shailesh Tiwary, Aditya Vashistha, and Kurtis Heimerl. Tenth International Conference on Information and Communication Technologies and Development (ICTD '19) Investigated the use and development of price information systems in Buxar, Bihar. Conference Paper 2018 dLTE: Building a more WiFi-like Cellular Network (Instead of the Other Way Around) Matthew Johnson, Spencer Sevilla, Esther Jang, and Kurtis Heimerl. HotNETS 2018 Discussed dLTE, a fully distributed form of LTE. Workshop Paper Connecting Communities through Mobile Networks: The VBTS-CoCoMoNets Project Mary Claire Barela, Josephine Dionisio, Kurtis Heimerl, Manuel Victor Sapitula, and Cedric Angelo Festin. Global Information Society Watch 2018: Community Networks Explained the context and deployments of our Philippine GSM networks. Book Chapter Building Community LTE Networks with CoLTE Spencer Sevilla, Pathirat Kosakanchit, Matthew Johnson, and Kurtis Heimerl. The community network manual : how to build the Internet yourself Provided a manual for the installation and operation of CoLTE. Book Chapter Designing Sustainable Rural Infrastructure Through the Lens of OpenCellular Kashif Ali, Kurtis Heimerl. Communications of the ACM, August 2018 Discussed the design of OpenCellular for rural contexts. Invited Article ThinSIM-based Attacks on Mobile Money Systems Rowan Phipps, Shrirang Mare, Peter Ney, Jennifer Rose Webster, Kurtis Heimerl. First ACM conference on Computing & Sustainable Societies (COMPASS) '18 Explored Thin-SIM based mobile money attacks and found that most STK and USSD applications are vulnerable. Conference Paper Crowdsourcing Rural Network Maintenance and Repair via Network Messaging Esther Jang, Mary Claire Barela, Matt Johnson, Philip Martinez, Cedric Festin, Maragaret Lynn, Josephine Dionisio, Kurtis Heimerl. ACM SIGCHI Conference on Human Factors in Computing Systems (CHI) '18 Examined the readiness of a rural Philippine community to infrastructure self-repair. Conference Paper 2017 An Investigation of Phone Upgrades in Remote Community Cellular Networks Kushal Shah, Philip Martinez, Emre Tepedelenlioglu, Shaddi Hasan, Cedric Angelo Festin, Joshua Blumenstock, Jo Dionisio, Kurtis Heimerl. International Conference on Information and Communication Technologies and Development (ICTD) '17 Examined the factors that influence LTE phone adoption in the Philippines and Indonesia. Conference Paper Unplanned Obsolescence: Hardware and Software After Collapse Esther Jang, Matt Johnson, Edward Burnell, Kurtis Heimerl. Proceedings of the 2017 Workshop on Computing Within Limits Explored how long hardware and software would function after societal collapse. Workshop Paper 2016 Towards Building a Community Cellular Network in the Philippines: Initial Site Survey Observations Mary Claire Barela, Mae Sincere Blanco, Philip Martinez, Miguel Carlo Purisima, Kurtis Heimerl, Matthew Podolsky, Eric Brewer, Cedric Angelo Festin. International Conference on Information and Communication Technologies and Development (ICTD) '16 Explored potential CCN sites in the Philippines. Conference Note 2015 Analysis of Smartphone Adoption and Usage in a Rural Community Cellular Network Kurtis Heimerl, Anuvind Menon, Shaddi Hasan, Kashif Ali, Eric Brewer, Tapan Parikh. International Conference on Information and Communication Technologies and Development (ICTD) '15 Analyzed smartphone adoption in a rural Indonesian community. Conference Note A Longitudinal Study of Local, Sustainable, Small-Scale Cellular Networks Kurtis Heimerl, Shaddi Hasan, Kashif Ali, Eric Brewer, Tapan Parikh. Information Technologies & International Development (ITID) 2015 A longitudinal analysis of a community cellular network in Papua, Indonesia. Invited Journal Article 2014 Rescue Base Station Ibrahim Ghaznavi, Kurtis Heimerl, Umar Muneer, Abdullah Hamid, Kashif Ali, Tapan Parikh, Umar Saif. 5th Annual ACM Symposium on Computing for Development (DEV) Developed a quick setup GSM cellular solution for disaster-affected regions. Conference Paper GSM Whitespaces: An Opportunity for Rural Cellular Service Shaddi Hasan, Kurtis Heimerl, Kate Harrison, Kashif Ali, Sean Roberts, Anant Sahai, Eric Brewer IEEE Dynamic Spectrum Access Access Networks 2014 (DySPAN) Implemented and evaluated GSM Whitespace, a system for shared spectrum access of the GSM cellular bands. Conference Paper, Best Paper Award 2013 An Experiment in Reducing Cellular Base Station Power Draw With Virtual Coverage Kurtis Heimerl, Shaddi Hasan, Kashif Ali, Tapan Parikh, Eric Brewer 4th Annual Symposium on Computing for Development (DEV) Evaluated virtual coverage in the context of a real-world deployment in rural Papua, Indonesia Conference Paper Local, Sustainable, Small-Scale Cellular Networks Kurtis Heimerl, Shaddi Hasan, Kashif Ali, Eric Brewer, Tapan Parikh International Conference on Information and Communication Technologies and Development (ICTD) '13 Developed and deployed a small-scale rural cellular network in Papua, Indonesia, showing that it is economically sustainable and benefits the local population Conference Paper Expanding Rural Cellular Networks with Virtual Coverage Kurtis Heimerl, Kashif Ali, Joshua Blumenstock, Brian Gawalt, Eric Brewer. 10th USENIX Symposium on Networked Systems Design and Implementation (NSDI) Demonstrated and implemented a novel technique for saving power in rural cellular networks, called "Virtual Coverage" Conference Paper, Community Award Poster and Demonstration of Expanding Rural Cellular Networks with Virtual Coverage Kurtis Heimerl, Kashif Ali, Joshua Blumenstock, Brian Gawalt, Eric Brewer 10th USENIX Symposium on Networked Systems Design and Implementation Demonstrations(NSDI) Demonstration of Virtual Coverage Demonstration Convergence of Position Auctions under Myopic Best-Response Dynamics Matthew Cary, Aparna Das, Benjamin Edelman, Ioannis Goitis, Kurtis Heimerl, Anna Karlin, Scott Kominers, Claire Mathieu, Michael Schwarz ACM Transactions on Economics and Computation '13 Journal Paper 2012 Communitysourcing: Engaging Local Crowds to Perform Expert Work Via Physical Kiosks Kurtis Heimerl, Brian Gawalt, Kuang Chen, Tapan Parikh, Bjrn Hartmann ACM SIGCHI Conference on Human Factors in Computing Systems (CHI) '12 Developed and evaluated CommunitySourcing ; the use of physical kiosks to engage local crowds of users to perform high-value work for localized rewards Conference Paper, Best Paper Award Communitysourcing: Engaging Local Crowds to Perform Expert Work Via Physical Kiosks Kurtis Heimerl, Brian Gawalt, Kuang Chen, Tapan Parikh, Bjrn Hartmann Interactivity at ACM SIGCHI Conference on Human Factors in Computing Systems (CHI) '12 Demonstration of CommunitySourcing Demonstration How Users Understand Cellular Infrastructure Kurtis Heimerl, Tapan Parikh Interviewed people from both developed, developing, urban and rural areas about their understanding of cellular infrastructure Technical Report 2010 A Case Study on Designing Interfaces for Multiple Users in Developing Regions Kurtis Heimerl, Janani Vasudev, Kelly G. Buchanan, Tapan Parikh, Eric Brewer 1st Annual Symposium on Computing for Development (DEV) Developed and deployed a single display groupware solution in a low-income school in Bangalore, India Conference Paper Metamouse: Improving Multi-user Sharing of Existing Educational Applications Kurtis Heimerl, Janani Vasudev, Kelly G. Buchanan, Tapan Parikh, Eric Brewer International Conference on Information and Communication Technologies and Development (ICTD) '10 Developed, deployed, and evaluated a novel single-display groupware technology supporting existing educational games in developing regions Conference Paper The Village Base Station Kurtis Heimerl, Eric Brewer ACM Workshop on Networked Systems for Developing Regions (NSDR) '10 Proposed the use of OpenBTS for bringing cellular coverage to rural areas Workshop Paper 2009 Message Phone: A User Study and Analysis of Asynchronous Messaging in Rural Uganda Kurtis Heimerl, RJ Honicky, Eric Brewer, Tapan Parikh ACM Workshop on Networked Systems for Developing Regions (NSDR) '09 Conducted field study of mPhone asynchronous voice system Workshop Paper Metamouse: Multiple Mice for Legacy Applications Kurtis Heimerl, Divya Ramachandran, Joyojeet Pal, Eric Brewer, Tapan Parikh Demo at International Conference on Information and Communication Technologies and Development (ICTD) Demonstration of basic Metamouse features and technology Demonstration Metamouse: Multiple Mice for Legacy Applications Kurtis Heimerl, Divya Ramachandran, Joyojeet Pal, Eric Brewer, Tapan Parikh Work In Progress at Computer-Human Interaction (CHI) Conducted user study on Metamouse in Bangalore, India Work in Progress Transforming Community-based Healthcare with CommScape Kuang Chen, Kurtis Heimerl, Tapan Parikh, Christine Robson, Beth Trushkowsky Technical Report Enabling Innovation Below the Communication API Ganesh Ananthanarayanan, Kurtis Heimerl, Matei Zaharia, Michael Demmer, Teemu Koponen, Arsalan Tavakoli, Scott Shenker, Ion Stoica Technical Report 2007 Greedy Bidding Strategies for Keyword Auctions Matthew Cary, Aparna Das, Benjamin Edelman, Ioannis Giotis, Kurtis Heimerl, Anna R. Karlin, Claire Mathieu, Michael Schwarz ACM Conference on Electronic Commerce 2007 Conference Paper Teaching Autumn 2018: CSE 461: Computer Networks . Winter 2018: CSE 461: Computer Networks . Fall 2017: CSE 590:Information and Communication Technology and Development (ICTD) PMP . Winter 2017: CSE 461: Computer Networks . Fall 2016: CSE 599:Information and Communication Technology and Development (ICTD) . Press/Awards 2018 We won third place grand prize at the Mozilla WiNS challenge . Our partner networks in Indonesia and The Philippines win an ISIF Community Networking grant and award. Endaga is mentioned in USAID's Higher Education Solutions Network Impact Report . Matt Johnson wins an NSF Graduate Research Fellowship Award . Esther jang win an honorable mention and Spencer Sevilla wins 3rd place in the Wireless Innovation for a Networked Society (WINS) Challenges . I won the College of Engineering Diamond Award for Early Career Achievement . 2016 Facebook's Huge Plan to Shake Up Dull World of Telecoms Fortune, February 2016 UW computer scientists to make financial products better and more available for the poor EurekAlert!, January 2016 2015 No phone signal in a disaster? Solar network in a box to the rescue Pakistan Today, September 2015 DIY telecoms The Economist, March 2015 Pushing cell service to remote areas, disaster zones GCN, January 2015 Kill Dead Zones With This Small Box Popular Science, January 2015 Reports cast doubt on expanded role for MNOs Policy Tracker, January 2015 Connecting the Unconnected Billion Emerging Frontiers, January 2015 Empowering locals to bring phone signal to remote areas Springwise, January 2015 2014 How to bring mobile coverage to the remotest parts of the world Quartz, December 2014 Is Endaga's Telco-In-A-Box The Cell Phone Solution For The Next Billion? Fast Company, December 2014 Endaga raises $1.2M to help it bring cellular to remote villages Fierce Wireless Tech, December 2014 Endaga Brings Rural Villages Online With a Cell Network in a Box re/code, December 2014 At the Wheel: Part 1 Part 2 Part 3 Bloomberg TV Indonesia, November 2014 Tech Now! Bloomberg TV Indonesia, November 2014 Outback Technology Berkeley Engineer, November 2014 Kurtis Heimerl Named MIT Technology Review Innovator Under 35 Berkeley eGrad, September 2014 This startup gives rural entrepreneurs the tech to operate their own mobile networks Tech in Asia, September 2014 This little box brings cell service to the most remote places on Earth Bacon Reader, August 2014 Kurtis Heimerl: 35 Innovators under 35 MIT Technology Review, August 2014 New Eavesdropping Equipment Sucks All Data Off Your Phone Newsweek, June 2014 From balloons to shrimp-filled shallows, the future is wireless Reuters, April 2014 Cellular's open source future is latched to tallest tree in the village Ars Technica, February 2014 2013 2013: The Best Communication Stories of the Year MIT Technology Review. December 2013 How Remote Places Can Get Cellular Coverage by Doing It Themselves MIT Technology Review. December 11, 2013 Mexico sees its first open-source village cellphone network USA Today. September 16th, 2013 Range Networks: Open Source Cellular Networks Daily Wireless. March 26th, 2013 Cell system used in Antarctica may help to cover the Plains Network World. March 23rd, 2013 2012 Demo Hour ACM Interactions, December 2012 Powered by the sun, telcos open up cellphone's final frontier Reuters. December 20th, 2012 "Guru Besar" OpenBTS Berduet di Serpong (Indonesian) Kompass. November 1st, 2012 Hacked Vending Machine Trades Snacks For Skills Tech News Daily. April 27th, 2012 diff --git a/src/data/compiled_bios/3835.txt b/src/data/compiled_bios/3835.txt new file mode 100644 index 0000000000..3e1af95442 --- /dev/null +++ b/src/data/compiled_bios/3835.txt @@ -0,0 +1 @@ +As a Senior Lecturer in the Department of Computer Science and Engineering, I have taught CSE 474, Introduction to Embedded Systems , CSE 466, Software for Embedded Systems , CSE 481i, Sound Capstone , CSE 490s, Digital Sound Engineering , CSE 370, Introduction to Digital Design , CSE 467, Advanced Digital Design , and CSE 131, The Science and Art of Digital Photography . I am also the Manager of the Baxter Computer Engineering Laboratory (also known as the Hardware Lab), which supports the digital design and embedded systems courses in CSE. These courses cover a wide range of integrated system design topics and include the use of hardware design and test equipment, computer-aided design (CAD) tools, and embedded systems development tools. My current interests include: --Computational imaging techniques for digital photography. --The development of autonomous computer-music generators that will sense my mood from physiological indicators and produce music that I increasingly like. Flock, the movie... Swarms, the movie... Swarms Installation with Hugo Solis The Blob controller from CSE 481i 2013 version of CSE 481i sound capstone 2014 version of CSE 481i sound capstone CSE Photographs My Photographs My formal training was in music and philosophy, after which, as a lecturer and conductor at a midwestern university, I mystified undergraduates in music history, electronic music, and orchestra. After discovering that computers in the context of music performance don't play out of tune unless programmed to do so, I soon realized that computer programming and design was not only fun but could be made to pay. So, I left the hallowed halls of academe for a position with a consulting engineering firm, where I gained valuable experience on projects such as: a giant digital squirt gun used for injecting tenderizing enzymes into sides of beef; a digital flow-meter for the sewage-treatment industry, and a computerized poultry feeder designed to produce plump birds without feeding them to death. Marriage and a migration to Seattle brought a position as Director of Research for a telecommunications firm, where I was responsible for the design of a computerized voice-recognition-based automatic telephone dialer for telemarketing use, thereby creating an unprecedented number of junk phone calls -- precisely timed to arrive during the evening meal. (There is no truth in the rumor that this was merely to create demand for my invention, heretofore undeveloped, of a device to block junk telemarketing calls.) Realizing that the above telecommunications firm now needed blue-suited types instead of my type, I quit -- dumping my stock options -- and once again became a consultant. After a series of digital signal processing projects for various audio companies, I decided that the world really did need yet another audio company, so my partner and I founded a Seattle high-end digital audio firm in 1993. After pushing digital audio bits through DSPs for nine years and manufacturing audio gear for Hollywood, I decided enough really was enough and left to pursue other interests. That brought me back to mystifying undergraduates again. diff --git a/src/data/compiled_bios/3836.txt b/src/data/compiled_bios/3836.txt new file mode 100644 index 0000000000..0a3aabeceb --- /dev/null +++ b/src/data/compiled_bios/3836.txt @@ -0,0 +1 @@ + Justin Hsia Justin Hsia About Teaching Research Fun Contact About Me I am a Lecturer in the Paul G. Allen School of Computer Science & Engineering (CSE) at the University of Washington, Seattle (UW). I received my education (Ph.D., M.S., dual B.S.) primarily from the department of Electrical Engineering and Computer Sciences at the University of California, Berkeley , where I was part of the Networked Dynamical Systems Group under Professor Murat Arcak. Teaching My teaching interests are in lower division computer science and engineering courses. Experienced in teaching Computer Architecture, CS Principles, Circuits, and Control. Other interests include Embedded Systems, Computer-Aided Design (CAD), and Signals and Systems. I am interested in the AP Computer Science Principles Exam and am involved with UW in the High School as the Coordinator for CSE120. Courses Taught The links below will take you to the course webpage for the most recent iteration that I taught. UC Berkeley student evaluations can be found at the HKN Database . UW ratings can be found by searching for 'Hsia' in the Course Evaluation Catalog (UW login required). CSE 120: Computer Science Principles Introduces fundamental concepts of computer science and computational thinking. Basics of programming and a survey of some "big ideas" in CS. Last taught: Winter 2019 CSE 333: Systems Programming Substantial programming experience in languages that expose machine characteristics and low-level data representation (C and C++). Last taught: Spring 2018 CSE 351: The Hardware/Software Interface Computer organization examines key computational abstraction levels below modern high-level languages. Last taught: Autumn 2018 CSE 369: Introduction to Digital Design Introduces the implementation of digital logic and its specification and simulation via SystemVerilog and FPGAs. Last taught: Winter 2019 CSE 410: Computer Systems Structure and components of hardware and software systems computer organization and some operating systems. Last taught: Winter 2017 CS 10: The Beauty and Joy of Computing An introduction to the beauty and joy of computing. The history, social implications, great principles, and future of computing. Last taught: Spring 2016 CS 61C: Great Ideas in Computer Architecture The internal organization and operation of digital computers, including architectural design decisions and elements of computer logic design. Last taught: Summer 2016 EE 40: Introduction to Microelectronic Circuits [TA] Fundamental circuit concepts and analysis techniques in the context of digital electronic circuits. Last taught: Fall 2012 EE 128: Feedback Control [TA] Analysis and synthesis of linear feedback control systems in transform and time domains with applications to electro-mechanical systems. Last taught: Fall 2009 Research My research interests are broadly in synthetic biology and biological systems analysis. My research focus was on engineered multicellular behaviors in bacteria, particularly pattern formation: Master's Thesis Exploration of Turing Phenomena in Quenched Oscillator Systems Ph.D. Dissertation Design and Engineering of Pattern Formation in Gene Expression in Escherichia coli Research Projects Currently not doing research as I am focusing on my career as a teaching faculty member. However, I do expect to dabble in bio- and education-related projects in the future. Hover over the following images to see more details [best in non-mobile browser]. Synthetic Mutualism [2015-2016] Macroscopic organisms are composed of cells, usually from a common genetic parent, differentiated through environmentally sensitive genetic programs. At its most fundamental level, multicellularity arises when cells come together and find means to couple their internal states in such a way that the connections result in emergent behavior generally with improved fitness for a set of problems that arises from the collective of cells. Our goal is to design a system that depends on the presence of two separate populations for survival. Possible applications include the programmed death of one species in the absence of the other (i.e. bio-security) or the reduced susceptibility to invading cells or mutation. Laterial Inhibition and Contact-Dependent Inhibition [2013-2016] Lateral inhibition is a mechanism where cell-to-cell signaling induces neighboring cells to compete and diverge into sharply contrasting fates, enabling developmental processes such as segmentation or boundary formation. A synthetic lateral inhibition system for pattern formation has not yet been demonstrated. We have developed a graph theoretic approach to analyzing potentially large contact networks for the existence and stability of "fine-grained" patterns. In place of an actual contact-based system, we propose a synthetic circuit we call a "compartmental lateral inhibition" system that used diffusible molecules to demonstrate these types of patterns. Diffusion-driven Instability [2009-2015] A particularly well-studied mechanism for pattern formation is diffusion-driven instability, originally proposed by Alan Turing in 1952, where a homogeneous steady state is destabilized in the presence of diffusion. To date, there have been no experimental demonstrations of a robust, tunable system which can break symmetry and spontaneously generate predictable gene expression patterns (spatiotemporal inhomogeneities) as in the Turing mechanism. Our investigations have led to a new a class of networks that we call "quenched oscillator" systems. These systems consist of a primary feedback loop that serves as an oscillator, and a secondary feedback loop that quenches the oscillations and incorporates a diffusible molecule. Diffusion releases the quenching effect in higher spatial frequencies, thus generating patterns. Modeling of Single Flagellum Bacterial Motion [2007] Research project for the class "Control and Optimization of Distributed Systems and Partial Differential Equations" in the Spring of 2007. Worked under the graduate student Edgar Lobaton to help model and simulate bacterial motion in environments with low Reynolds number. Framed as an adjoint optimization problem over the elasticities of the spring connecting the particles that made up the model of the flagellum. Continued work on this project through the Summer of 2007. Acknowledged in the resulting paper . Publications All publications are linked below. Journal M. Tei, M.L. Perkins, J. Hsia , M. Arcak, and A.P. Arkin. Designing Spatially Distributed Gene Regulatory Networks To Elicit Contrasting Patterns . ACS Synth. Biol. , vol. 8, no. 1, p. 119-126, 2019. J. Hsia , W.J. Holtz, M.M. Maharbiz, M. Arcak, and J.D. Keasling. Modular Synthetic Inverters from Zinc Finger Proteins and Small RNAs . PLoS ONE 11(2): e0149483 , 2016. A.S. Rufino Ferreira, J. Hsia , and M. Arcak. A Compartmental Lateral Inhibition System to Generate Contrasting Patterns . Life Sciences Letters, IEEE , vol. 1, no. 1, p. 7-10, 2015. J. Hsia , W.J. Holtz, D.C. Huang, M. Arcak, and M.M. Maharbiz. A Feedback Quenched Oscillator Produces Turing Patterning with One Diffuser . PLoS Comput Biol , vol. 8, no. 1, p. e1002331, 2012. Conference A.S. Rufino Ferreira, J. Hsia , M. Arcak, M.M. Maharbiz, A.P. Arkin. Pattern Formation with a Compartmental Lateral Inhibition Circuit . Conference on Decision and Control (CDC), 2014 . IEEE, 2014, p. 5413-5418. J. Hsia , W.J. Holtz, M.M. Maharbiz, and M. Arcak. New Architecture for Patterning Gene Expression Using Zinc Finger Proteins and Small RNAs . Conference on Decision and Control (CDC), 2012 . IEEE, 2012, p. 1633-1638. J. Hsia , W.J. Holtz, D.C. Huang, M. Arcak, and M.M. Maharbiz. A Quenched Oscillator Network for Pattern Formation in Gene Expression . American Control Conference (ACC), 2011 . IEEE, 2011, p. 2284-2289. Poster J. Hsia , W.J. Holtz, M. Arcak, and M.M. Maharbiz. " A Feedback Quenched Oscillator Produces Turing Patterning Using Hybrid Zinc Finger Protein-sRNA Inverters ." Poster Session, the First Annual Winter q-bio Meeting , February 2013. J. Hsia , W.J. Holtz, M.M. Maharbiz, and M. Arcak. " A New Architecture for Patterning Gene Expression Using Zinc Finger Proteins and Small RNAs ." Poster Session, 2012 UC Systemwide Bioengineering Symposium , June 2012. J. Hsia , W.J. Holtz, D.C. Huang, M. Arcak, and M.M. Maharbiz. " A Feedback Quenched Oscillator Produces Turing Patterning with One Diffuser ." Poster Session, SB5.0: the Fifth International Meeting on Synthetic Biology , June 2011. Things I Do For Fun Faculty are people, too! Icons made by Freepik , monkik , and catkuro from www.flaticon.com and licensed by CC 3.0 BY . Ultimate Chasing some plastic with my team. Running Fitness and exploration - what more do you need? Hiking The PacNW is beautiful! Enjoying the outdoors. Puzzles Mostly logic puzzles, but jigsaw is fun, too. Board Games I've got a sizeable collection. Singing I've done choir and a cappella. Badminton I'm basically retired, but I used to play a LOT. Office CSE 438 ( map ) Email jhsia AT cs.uw.edu Snail Mail Paul G. Allen School of Computer Science & Engineering University of Washington 185 E Stevens Way NE AC101 Paul G. Allen Center, Box 352350 Seattle, WA 98195-2350 Copyright All rights reserved | This template is made with by Colorlib diff --git a/src/data/compiled_bios/3837.txt b/src/data/compiled_bios/3837.txt new file mode 100644 index 0000000000..649642d9e9 --- /dev/null +++ b/src/data/compiled_bios/3837.txt @@ -0,0 +1 @@ + Kevin Jamieson Kevin Jamieson Assistant Professor, Allen School of Computer Science & Engineering Adjunct Professor, Department of Statistics University of Washington jamieson@cs.washington.edu Computer Science & Engineering, Office 666 Paul Allen Center University of Washington Seattle, WA 98195 About Kevin Jamieson is an Assistant Professor in the Paul G. Allen School of Computer Science & Engineering at the University of Washington and is the Guestrin Endowed Professor in Artificial Intelligence and Machine Learning. He received his B.S. in 2009 from the University of Washington under the advisement of Maya Gupta , his M.S. in 2010 from Columbia University under the advisement of Rui Castro , and his Ph.D. in 2015 from the University of Wisconsin - Madison under the advisement of Robert Nowak , all in electrical engineering. He returned to the University of Washington as faculty in 2017 after a postdoc in the AMP lab at the University of California, Berkeley working with Benjamin Recht . Jamiesons research explores how to leverage already-collected data to inform what future measurements to make next, in a closed loop. Such active learning can extract considerably richer insights than any measurement plan fixed in advance, using the same statistical budget. His work ranges from theory to practical algorithms with guarantees to open-source machine learning systems and has been adopted in a range of applications, including measuring human perception in psychology studies, adaptive A/B/n testing in dynamic web-environments, numerical optimization, and choosing hyperparameters for deep neural networks. Teaching Autumn 2018: CSE 546 Machine Learning Winter 2018: CSE 599 Online and Adaptive Methods for Machine Learning Autumn 2017: CSE 546 Machine Learning Students Post docs Lalit Jain Graduate students Jennifer Rogers Andrew Wagenmaker Research Preprints Massively Parallel Hyperparameter Tuning , Liam Li, Kevin Jamieson, Afshin Rostamizadeh, Ekaterina Gonina, Moritz Hardt, Benjamin Recht, Ameet Talwalkar, Preprint . PDF Adaptive Sampling for Convex Regression , Max Simchowitz, Kevin Jamieson, Jordan Suchow, Tom Griffiths, Preprint . PDF Publications A Bandit Approach to Multiple Testing with False Discovery Control , Kevin Jamieson, Lalit Jain, NeurIPS , 2018. PDF Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization , Lisha Li, Kevin Jamieson, Giulia DeSalvo, Afshin Rostamizadeh, Ameet Talwalkar, JMLR , 2018 * . PDF Firing Bandits: Optimizing Crowdfunding , Lalit Jain, Kevin Jamieson, ICML , 2018. PDF A framework for Multi-A(rmed)/B(andit) testing with online FDR control , Fanny Yang, Aaditya Ramdas, Kevin Jamieson, Martin J. Wainwright, NeurIPS , 2017. PDF The Simulator: Understanding Adaptive Sampling in the Moderate-Confidence Regime , Max Simchowitz, Kevin Jamieson, Benjamin Recht, COLT , 2017. PDF Hyperband: Bandit-Based Configuration Evaluation for Hyperparameter Optimization , Lisha Li, Kevin Jamieson, Giulia DeSalvo, Afshin Rostamizadeh, Ameet Talwalkar, ICLR , 2017. PDF Comparing Human-Centric and Robot-Centric Sampling for Robot Deep Learning from Demonstrations , Michael Laskey, Caleb Chuck, Jonathan Lee, Jeffrey Mahler, Sanjay Krishnan, Kevin Jamieson, Anca Dragan, Ken Goldberg, International Conference on Robotics and Automation (ICRA) , 2017. PDF The Power of Adaptivity in Identifying Statistical Alternatives , Kevin Jamieson, Daniel Haas, Ben Recht, NeurIPS , 2016 * . PDF Finite Sample Prediction and Recovery Bounds for Ordinal Embedding , Lalit Jain, Kevin Jamieson, Robert Nowak, NeurIPS , 2016. PDF Best-of-K Bandits , Max Simchowitz, Kevin Jamieson, Benjamin Recht, COLT , 2016. PDF Non-stochastic Best Arm Identification and Hyperparameter Optimization , Kevin Jamieson, Ameet Talwalkar, AISTATS , 2016. PDF Top Arm Identification in Multi-Armed Bandits with Batch Arm Pulls , Kwang-Sung Jun, Kevin Jamieson, Robert Nowak, Xiaojin Zhu, AISTATS , 2016. PDF NEXT: A System for Real-World Development, Evaluation, and Application of Active Learning , Kevin Jamieson, Lalit Jain, Chris Fernandez, Nick Glattard, Robert Nowak, NeurIPS , 2015. PDF The Analysis of Adaptive Data Collection Methods for Machine Learning , Kevin Jamieson, PhD Thesis , University of Wisconsin - Madison, March 2015. PDF Sparse Dueling Bandits , Kevin Jamieson, Sumeet Katariya, Atul Deshpande, and Robert Nowak, AISTATS , 2015. PDF Best-arm identification algorithms for multi-armed bandits in the fixed confidence setting , Kevin Jamieson and Robert Nowak, CISS , 2014. PDF lil' UCB : An Optimal Exploration Algorithm for Multi-Armed Bandits , Kevin Jamieson, Matt Malloy, Robert Nowak, and Sebastien Bubeck, COLT , 2014. PDF On Finding the Largest Mean Among Many , Kevin Jamieson, Matt Malloy, Robert Nowak, and Sebastien Bubeck, Asilomar , 2013. PDF Query Complexity of Derivative-Free Optimization , Kevin Jamieson, Robert Nowak, and Ben Recht, Neural Information Processing Systems (NeurIPS) , 2012. PDF (Extended version) Active Ranking using Pairwise Comparisons , Kevin Jamieson and Robert Nowak, Neural Information Processing Systems (NeurIPS) , 2011. PDF (Extended version) Low-Dimensional Embedding using Adaptively Selected Ordinal Data Kevin Jamieson and Robert Nowak, Allerton Conference on Communication, Control, and Computing , 2011. PDF Channel-Robust Classifiers , Hyrum S. Anderson, Maya R. Gupta, Eric Swanson, and Kevin Jamieson, IEEE Trans. on Signal Processing , 2010. Training a support vector machine to classify signals in a real environment given clean training data , Kevin Jamieson, Maya R. Gupta, Eric Swanson and Hyrum S. Anderson, Proc. IEEE ICASSP , 2010. Sequential Bayesian Estimation of the Probability of Detection for Tracking , Kevin Jamieson, Maya R Gupta, and David Krout, Proc. IEEE Conference on Information Fusion , 2009. Selected Projects Adaptive Mutliple Testing with FDR Control Consider N possible treatments, say, drugs in a clinical trial, where each treatment either has a positive expected effect or no difference. If evaluating the ith treatment results in a noisy outcome how do we adaptively decide which treatment to try next if the goal is to discover as many true positives subject to the proportion of false discoveries being bounded by .05? Our solution to this problem was so efficient that we worked with Optimizely, the largest experimentation platform for A/B/n testing on the web, to get our algorithm implemented to be exploited by some of the web's most successful companies. Conference paper Blog post Optimizing Crowdfunding Platforms Kiva is a nonprofit crowdfunding platform with a mission to help alleviate poverty around the world by enabling anyone in the crowd to lend as little as $25 to the borrower to help them start or grow a business, go to school, access clean energy or realize their potential. Unfortunately, borrowers outnumber lenders and not all projects can hit their reserve price and be funded. The challenge for the crowdfunding platform is deciding how to prioritize loans--what lenders see when they look at the website--to maximize the total number of fully funded projects. This objective is in contrast to maximizing total number of lending events, analogous to click through rate. We model this problem and propose an algorithm for this setting in our conference paper and we are actively working with Kiva to implement it in their system. The same principles directly apply to other crowdfunding systems as well (e.g., Kickstarter, IndieGoGo, etc.). Conference paper Hyperband: Bandits for hyperparameter tuning Hyperband is a method for speeding up hyperparameter search. In contrast to Bayesian methods that focus energy on making better selections, Hyperband uses simple random search but exploits the iterative nature of training algorithms using recent advances in pure-exploration multi-armed bandits. Up to orders of magnitude improvements over Bayesian optimization are achievable on deep learning tasks. Learn more New blog post (2018) Blog post (2016) The New Yorker Caption Contest Each week, the New Yorker magazine runs a cartoon contest where readers are invited to submit a caption for that week's cartoon - thousands are submitted. The NEXT team has teamed up with Bob Mankoff, cartoon editor of the New Yorker, to use crowdsourcing and adaptive sampling techniques to help decide the caption contest winner each week. This is an example of state-of-the-art active learning being implemented and evaluated in the real world using the NEXT system and the principles developed in that paper . Learn more This week's contest NEXT NEXT is a computational framework and open-source machine learning system that simplifies the deployment and evaluation of active learning algorithms that use human feedback, e.g. from Mechanical Turk. The system is optimized for the real-time computational demands of active learning algorithms and built to scale to handle a crowd of workers any size. The system is for active learning researchers as well as practitioners who want to collect data adaptively. Conference Paper GitHub Page Official website Beer Mapper Beer Mapper began as a practical implementation of my theoretical active ranking work on an iPhone/iPad to be used simply as a proof of concept and a cool prop to use in presentations of the theory. A brief page on my website descibring how it worked collected dust for several months until several blogs found it translating into large traffic and interest in it being brought to the app store. I teamed up with the tech startup Savvo based out of Chicago that is now leading the development of the app. Official website diff --git a/src/data/compiled_bios/3838.txt b/src/data/compiled_bios/3838.txt new file mode 100644 index 0000000000..e2ed4a5762 --- /dev/null +++ b/src/data/compiled_bios/3838.txt @@ -0,0 +1 @@ + Ren Just Home Publications Teaching Defects4J Mutation Testing Sparta Ren Just Assistant Professor Paul G. Allen School of Computer Science & Engineering University of Washington 185 E Stevens Way NE CSE 434 (206) 616-6025 rjust(at)cs.washington.edu About I am interested in software engineering and software security, in particular static and dynamic program analysis, mobile security, mining software repositories, and applied machine learning. I am actively recruiting strong students at both the undergraduate and graduate level. Prospective students should have interests in software engineering, software security, programming languages, data mining, or related topics. Bio Ren Just is an Assistant Professor at the University of Washington and an Adjunct Assistant Professor at the University of Massachusetts. His research interests are in software engineering and software security, in particular static and dynamic program analysis, mobile security, mining software repositories, and applied machine learning. His research in the area of software engineering won three ACM SIGSOFT Distinguished Paper Awards, and he develops research and educational infrastructures that are widely adopted by other researchers and instructors (e.g., Defects4J and the Major mutation framework ). diff --git a/src/data/compiled_bios/3839.txt b/src/data/compiled_bios/3839.txt new file mode 100644 index 0000000000..6dc4068561 --- /dev/null +++ b/src/data/compiled_bios/3839.txt @@ -0,0 +1 @@ +Sham Kakade is a Washington Research Foundation Data Science Chair, with a joint appointment in both the Allen School and Department of Statistics at the University of Washington. He works on the theoretical foundations of machine learning, focusing on designing (and implementing) statistically and computationally efficient algorithms. Amongst his contributions with a diverse set of collaborators are: establishing principled approaches in reinforcement (including the natural policy gradient, conservative policy iteration, and the PAC-MDP framework); optimal algorithms in stochastic and non-stochastic multi-armed bandit problems (including the linear bandit and the Gaussian process bandit); computationally and statistically efficient spectral algorithms for estimation of latent variable models (including estimation of mixture of Gaussians, latent Dirichlet allocation, hidden Markov models, and overlapping communities in social networks); faster algorithms for large scale convex and nonconvex optimization. He is the recipient of the IBM Goldberg best paper award (in 2007) for contributions to fast nearest neighbor search and the best paper, INFORMS Revenue Management and Pricing Section Prize (2014). He has been program chair for COLT 2011. Sham completed his Ph.D. at the Gatsby Computational Neuroscience Unit at University College London, under the supervision of Peter Dayan, and he was a postdoc at the University of Pennsylvania, under the supervision of Michael Kearns. Sham was an undergraduate at Caltech, studying in physics under the supervision of John Preskill. Sham has been a Principal Researcher at Microsoft Research, New England; an associate professor at the Department of Statistics, Wharton, UPenn; and an assistant professor at the Toyota Technological Institute at Chicago. For more information, visit Sham's website . diff --git a/src/data/compiled_bios/384.txt b/src/data/compiled_bios/384.txt new file mode 100644 index 0000000000..a48b9bc421 --- /dev/null +++ b/src/data/compiled_bios/384.txt @@ -0,0 +1 @@ +Name: Page, Ivor P.:: Position: Professor (CS & CE):: Degrees: Ph.D., Brunel University, UK; B.Sc., Brunel University, UK; Research Interests: Distributed algorithms; Resource allocation problems; Computer graphics; RepresentativePublications: On the Tower of Hanoi Problem with Multiple Spare Pegs, I. Page, J. Veerasamy, International Journal of Computer Mathematics, 52, 1, (1994).; Spanning tree maintenance by grafting, I. Page, M. Scoggins, Ninth International Conference on Systems Engineering, Las Vegas, Nevada, (1993).; Fast algorithms for distributed resource allocation, I. Page, R. T. Jacob, S. E. Chern, IEEE Transactions on Parallel and Distributed Systems, 4, 2, (1993).; Normal vector generation for sampled data using Fourier Filtering, I. Page, M. Goss, Journal of Visualization and Computer Animation, 4, (1993).; Explicit dynamic mutual exclusion algorithm, E. B. Weidman, I. Page, W.J. Pervin, Third IEEE Symposium on Parallel Distributed Processing, Dallas, Texas, (1991).; diff --git a/src/data/compiled_bios/3840.txt b/src/data/compiled_bios/3840.txt new file mode 100644 index 0000000000..222c79bc67 --- /dev/null +++ b/src/data/compiled_bios/3840.txt @@ -0,0 +1 @@ + Anna R. Karlin Anna R. Karlin Microsoft Professor of Computer Science & Engineering Allen School of Computer Science & Engineering Box 352350 PGA 594 University of Washington Seattle, WA 98195-2350 (206) 543-9344 voice (206) 543-2969 FAX karlin at cs dot washington dot edu Selected Publications Current Students Recent Teaching Short Bio I'm general chair for the 20th ACM Conference on Economics and Computation, which will held in Phoenix, AZ from June 24-28 as part of FCRC'19. Why Women (and Everyone Else) Should Code Game Theory, Alive with Y. Peres The book can be purchased at the American Mathematical Society Bookstore or at amazon.com Selected Publications Research currently supported by NSF grant CCF-1813135 A simply exponential upper bound on the maximum number of stable matchings (with S. Oveis Gharan and R. Weber) Stability of service under time-of-use pricing (with S. Chawla, N. Devanur, A. Holroyd, J. Martin, B. Sivan). The FedEx Problem (with A. Fiat, K. Goldner and E. Koutsoupias). A prior-independent revenue-maximizing auction for multiple additive bidders (with K. Goldner) Carpooling in a social network (with A. Fiat, E. Koutsoupias, C. Mathieu and R. Zach). Simple pricing schemes for consumers with evolving data (with S. Chawla, N. Devanur and B. Sivan). Approximate revenue maximization in interdependent value settings (with S. Chawla and H. Fu). Prior-independent multi-parameter mechanism design (with N. Devanur, J. Hartline and T. Nguyen) Greedy Bidding Strategies for Keyword Auctions (with M. Cary, A. Das, B. Edelman, I. Giotis, K. Heimerl, C. Mathieu and M. Schwarz) Cheap Labor Can Be Expensive (with N. Chen) Beyond VCG: Frugality in Truthful Mechanisms (with D. Kempe and T. Tamir) On profit-maximizing envy-free pricing (with V. Guruswami, J. Hartline, D. Kempe, C. Kenyon and F. McSherry) Truthful and competitive double auctions (with K. Deshmukh, A. Goldberg and J. Hartline) Competitive generalized auctions (with A. Fiat, A. Goldberg and J. Hartline) Competitive auctions (with A. Goldberg, J. Hartline, M. Saks and A. Wright) Web search via hub Synthesis (with D. Achlioptas, A. Fiat and F. McSherry) Spectral analysis for data mining (with Y. Azar, A. Fiat, F. McSherry and J. Saia) On algorithms for efficient data migration (with J. Hall, J. Hartline, J. Saia and J. Wilkes) Random walks with back buttons (with R. Fagin, J. Kleinberg, P. Raghavan, S. Rajagopalan, R. Rubinfeld, M. Sudan and A. Tomkins) Practical Network Support for IP Traceback. (with S. Savage, D. Wetherall and T. Anderson). Web Tracing and Web Caching Project and Papers On List Update and Work Function Algorithms (with E. Anderson, K. Hildrum, A. Rasala and M. Saks) Implementing Global Memory Management in a Workstation Cluster. (with Michael J. Feeley, William E. Morgan, Frederic H. Pighin, Henry M. Levy, and Chandramohan A. Thekkath.) Two Adaptive Hybrid Cache Coherencey Protocols (with C. Anderson) Implementation and Performance of Integrated Application-Controlled Caching, Prefetching and Disk Scheduling (with P. Cao, E. Felten and K. Li) Reducing TLB and Memory Overhead Using Online Superpage Promotion (with T. Romer, W. Ohlrich and B. Bershad) A Study of Integrated Prefetching and Caching Strategies (with P. Cao, E. Felten and K. Li) Randomized and Multipointer Paging with Locality of Reference (with A. Fiat) Balanced Allocations (with Y. Azar, A. Broder and E. Upfal) On the Fault Tolerance of the Butterfly (with G. Nelson and H. Tamaki) Markov Paging (with S. Phillips and P. Raghavan) Strongly Competitive Algorithms for Paging with Locality of Reference (with S. Irani and S. Phillips) An Empirical Study of Competitive Spinning for a Shared-Memory Multiprocessor (with K. Li, M. Manasse and S. Owicki ) Trading Space for Time in Undirected s-t Connectivity (with A. Broder, P. Raghavan and E. Upfal ) Current Students Kira Goldner Nathan Klein Robbie Weber Former Students (in order of graduation) Juan Alemany Eric Anderson Jason Hartline Tracy Kimbrel Frank McSherry Jared Saia Matt Cary Ning Chen Ioannis Giotis Cam Thach Nguyen Ben Birnbaum Elisa Celis Jessica Chang Recent Teaching (very partial list) Algorithms and Uncertainty, cotaught with Nikhil Devanur. Over the last few years, I have created and taught a new course to non-computer science students in the Honors College at the University of Washington: A Brave New World: The Scientific, Economic and Social Impact of Computer Science. (Thanks to Google for support.) CSE 525: Randomized Algorithms Short Bio Anna Karlin, Microsoft Professor of Computer Science and Engineering, received her Ph.D. from Stanford University in 1987. Before coming to the University of Washington, she spent 5 years as a researcher at (what was then) Digital Equipment Corporation's Systems Research Center. Her research is primarily in theoretical computer science: the design and analysis of algorithms, particularly probabilistic and online algorithms. She also works at the interface between theory and other areas, such as economics and game theory, data mining, operating systems, networks, and distributed systems. "The computer is useless. It can only answer questions." Pablo Picasso "When my brothers try to draw a circle to exclude me, I shall draw a larger circle to include them.." Pauli Murray diff --git a/src/data/compiled_bios/3841.txt b/src/data/compiled_bios/3841.txt new file mode 100644 index 0000000000..b0d63d0166 --- /dev/null +++ b/src/data/compiled_bios/3841.txt @@ -0,0 +1 @@ + Ira Kemelmacher-Shlizerman at UW CSE Your browser does not handle frames! diff --git a/src/data/compiled_bios/3842.txt b/src/data/compiled_bios/3842.txt new file mode 100644 index 0000000000..e910d7b6ce --- /dev/null +++ b/src/data/compiled_bios/3842.txt @@ -0,0 +1 @@ + Tadayoshi Kohno (aka Yoshi Kohno) Tadayoshi Kohno (Yoshi Kohno) Short-Dooley Professor, Department of Computer Science & Engineering Adjunct Professor, Department of Electrical Engineering Adjunct Professor, Information School University of Washington Phone: 206-685-4853 (messages not checked regularly) Fax: 206-616-3804 Email: yoshi@cs.washington.edu UW CSE Security and Privacy Research Lab UW Tech Policy Lab Home Students Teaching Research Publications Contact I am the Short-Dooley Professor of Computer Science & Engineering at the University of Washington , with adjunct appointments in the UW Electrical Engineering Department and the UW Information School . I am a member of the UW CSE Security and Privacy Research Lab and the UW Tech Policy Lab . I also serve on the National Academies Forum on Cyber Resilience and the USENIX Security Steering Committee . My research focuses on computer security and privacy, broadly defined. I am especially interested in: computer security and privacy for emerging and consumer technologies; computer security and privacy for mobile and cloud systems; the human element in computer security systems; and computer security education. Please see the menu bar above for additional information. Undergraduate and Masters students interested in research, please complete this form . diff --git a/src/data/compiled_bios/3843.txt b/src/data/compiled_bios/3843.txt new file mode 100644 index 0000000000..3bfa319e73 --- /dev/null +++ b/src/data/compiled_bios/3843.txt @@ -0,0 +1 @@ + Arvind Krishnamurthy is a Professor of Computer Science and Engineering at the University of Washington. His research interests span all aspects of building practical and robust computer systems, and he has worked on projects that improve the robustness, security, and performance of Internet-scale systems. More recently, his research has focussed on: Programmable networks (e.g., Approx. Fair Queueing , IncBricks , FlexSwitch , FlexNIC ), Distributed systems for the datacenter (e.g., Sapphire , SpecPaxos , Tapir ), Systems for machine learning (e.g., DNN compiler , mobile/cloud DNNs , DNN specialization ). diff --git a/src/data/compiled_bios/3844.txt b/src/data/compiled_bios/3844.txt new file mode 100644 index 0000000000..943ef6fa15 --- /dev/null +++ b/src/data/compiled_bios/3844.txt @@ -0,0 +1 @@ +Bill & Melinda Gates Chair in Computer Science & Engineering Adjunct Professor of Oceanography Founding Director (2008-17) and Senior Data Science Fellow, UW eScience Institute Founding Chair (2007-13), Computing Community Consortium Ed Lazowska holds the Bill & Melinda Gates Chair in the Paul G. Allen School of Computer Science & Engineering at the University of Washington, and is a Senior Data Science Fellow in the University of Washington eScience Institute. Lazowska received his A.B. from Brown University in 1972 and his Ph.D. from the University of Toronto in 1977, when he joined the University of Washington faculty. Lazowskas research and teaching concern the design, implementation, and analysis of high performance computing and communication systems, and, more recently, the techniques and technologies of data-intensive discovery. Twenty two Ph.D. students and twenty three Masters students have completed degrees working with him. (See a Ph.D. family tree as of August 2010 here .) In recognition of his research accomplishments Lazowska has been elected a Member of the National Academy of Engineering (he was elected a Councillor of NAE in 2018); a Fellow of the American Academy of Arts & Sciences; a Fellow of the Association for Computing Machinery, the Institute of Electrical and Electronics Engineers, and the American Association for the Advancement of Science; and a member of the founding class of the Washington State Academy of Sciences. In addition he has received the Vollum Award for Distinguished Accomplishment in Science and Technology from Reed College. Lazowskas national leadership activities include serving as Co-Chair (with Marc Benioff) of the Presidents Information Technology Advisory Committee (2003-05), Co-Chair (with David E. Shaw) of the Working Group of the Presidents Council of Advisors on Science and Technology to review the Federal Networking and Information Technology Research and Development Program (2010), Chair of the Computing Research Association (1997-2001), Chair of the NSF CISE Advisory Committee (1998-99), Chair of the DARPA Information Science and Technology (ISAT) Study Group (2004-06), and Founding Chair of the Computing Community Consortium (2007-13), as well as serving on a large number of National Academies study committees. In recognition of his national leadership Lazowska has received the Computing Research Association Distinguished Service Award, the ACM Presidential Award, and the ACM Distinguished Service Award. A long-time advocate for increasing participation in the field, Lazowska serves on the Executive Advisory Council of the National Center for Women & Information Technology , and on the National Academies Committee on Women in Science, Engineering and Medicine . He recently served on the National Academies study committee on sexual harassment in academia . He received the University of Washington Outstanding Public Service Award for his K-12 outreach activities, the University of Washington David B. Thorud Leadership Award for his institutional leadership activities, and the University of Washington Computer Science & Engineering Undergraduate Teaching Award. Lazowska serves as a board member or technical advisor for a number of high-tech companies, venture firms, and technology-oriented civic organizations. He is a member of the Board and Executive Committee of the Washington Tech Industry Association , and until recently the Tech Alliance of Washington and the Washington State Academy of Sciences . Lazowska served as Chair of University of Washington Computer Science & Engineering from 1993-2001, a period during which its stature increased significantly. Along with Tom Alberg (Managing Director of Madrona Venture Group) and Jeremy Jaech (CSE alumnus and co-founder of Aldus and Visio) he led the fundraising campaign for the Paul G. Allen Center for Computer Science & Engineering, which was dedicated in 2003; along with Brad Smith (President of Microsoft) he led the fundraising campaign for the Bill & Melinda Gates Center for Computer Science & Engineering, which will be dedicated in 2019 and will provide the space for the Allen School to double its enrollment. Lazowska was the Founding Director of the University of Washington eScience Institute (2008-17), and was the Founding Chair of the Computing Community Consortium (2007-13). He spent 1984-85 on sabbatical at the DEC Systems Research Center and Stanford University, and 2001-02 on sabbatical at the University of California, San Diego. Remembering friends diff --git a/src/data/compiled_bios/3845.txt b/src/data/compiled_bios/3845.txt new file mode 100644 index 0000000000..6bc266627c --- /dev/null +++ b/src/data/compiled_bios/3845.txt @@ -0,0 +1 @@ + James R. Lee James R. Lee Home | Publications | tcsmath [ old ] Home | Publications | tcsmath [ old ] Professor Computer Science University of Washington 640 Paul G. Allen Center jrl [at] cs washington edu UW THEORY GROUP Teaching: WI 19: Toolkit for modern algorithms SP 18: Competitive analysis via convex optimization Randomized algorithms [SP 19, AU 16 , WI 15 ] WI 16: Entropy optimality Research interests: Algorithms, complexity, and the theory of computation. Geometry and analysis at the interface between the continuous and discrete. Probability and stochastic processes. Metric embeddings, spectral graph theory, convex optimization. [ CV ] Teaching: WI 19: Toolkit for modern algorithms SP 18: Competitive analysis via convex optimization Randomized algorithms [ AU 16 , WI 15 ] WI 16: Entropy optimality Research interests: Algorithms, complexity, and the theory of computation. Geometry and analysis at the interface between the continuous and discrete. Probability and stochastic processes. Metric embeddings, spectral graph theory, convex optimization. Some youtube videos: The unreasonable effectiveness of spectral graph theory Spectrahedral lifts and quantum learning The dynamics of regularized flows on convex bodies Uniformizing the geometry of unimodular random graphs Some youtube videos: The unreasonable effectiveness of spectral graph theory (Simons Open Lecture, 2014) Spectrahedral lifts and quantum learning (QIP 2017) The dynamics of regularized flows on convex bodies (IAS 2018) Uniformizing the geometry of unimodular random graphs (Tel Aviv, 2017) Talks and events: [ earlier | later ] Recent work [algorithms] : [ abs | bib ] Metrical task systems on trees via mirror descent and unfair gluing , with S. Bubeck, M. B. Cohen, and Y. T. Lee (SODA'19) We consider metrical task systems on tree metrics, and present an $O(\mathrm{depth} \times \log n)$-competitive randomized algorithm based on the mirror descent framework. For the special case of HSTs, we refine the standard approach based on combining unfair metrical task systems, yielding an $O(\log n)$-competitive algorithm. This is tight up to the implicit constant factor. Using known random embeddings of finite metric spaces into HSTs, this yields an $O((\log n)^2)$-competitive algorithm for general $n$-point spaces. [ abs | bib ] Flow-cut gaps and face covers in planar graphs , with R. Krauthgamer and H. Rika (SODA'19) We establish new and improved bounds on the flow-cut gap in planar flow networks where the terminals lie on a small number of faces. The classical Okamura-Seymour theorem (1981) shows that when all terminals lie on a single face, the flow-cut gap is exactly 1. We show that if the terminals lie on $\gamma$ faces, the flow-cut gap is $O(\log \gamma)$. This is proved by embedding the terminal metric into a distribution over trees with distortion $O(\log \gamma)$, which is tight up to the implied constant factor. [ abs | bib ] Fusible HSTs and the randomized k-server conjecture (FOCS'18) We give a poly(log k)-competitive randomized algorithm for the k-server problem on general metric spaces. The best previous result independent of the underlying metric space is the 2k-1 competitive ratio established for the deterministic work function algorithm by Koutsoupias and Papadimitriou (1995). Since deterministic algorithms can do no better than k on any metric space with at least k+1 points, this establishes that for every metric space on which the problem is non-trivial, randomized algorithms give an exponential improvement over determinsitic algorithms. The approach employs our previous algorithm for the fractional k-server problem on HSTs . @inproceedings{LeeFOCS18, author = {James R. Lee}, title = {Fusible HSTs and the Randomized k-Server Conjecture}, booktitle = {59th {IEEE} Annual Symposium on Foundations of Computer Science, {FOCS} 2018, Paris, France, October 7-9, 2018}, pages = {438--449}, year = {2018}, crossref = {DBLP:conf/focs/2018}, url = {https://doi.org/10.1109/FOCS.2018.00049}, doi = {10.1109/FOCS.2018.00049}, timestamp = {Sun, 23 Dec 2018 08:29:07 +0100}, biburl = {https://dblp.org/rec/bib/conf/focs/Lee18}, bibsource = {dblp computer science bibliography, https://dblp.org} } [ abs | bib ] k-server via multiscale entropic regularization , with S. Bubeck, M. B. Cohen, Y. T. Lee, and A. Madry (STOC'18) We present an \(O((\log k)^2)\)-competitive randomized algorithm for the k-server problem on hierarchically separated trees (HSTs). This is the first o(k)-competitive randomized algorithm for which the competitive ratio is independent of the size of the underlying HST. Our algorithm is designed in the framework of online mirror descent where the mirror map is a multiscale entropy. When combined with Bartals static HST embedding reduction, this leads to an \(O((\log k)^2 \log n)\)-competitive algorithm on any n-point metric space. We give a new dynamic HST embedding that yields an \(O((\log k)^3 \log \Delta)\)-competitive algorithm on any metric space where the ratio of the largest to smallest non-zero distance is at most \(\Delta\). @inproceedings{BCLLM18, author = {S{\'{e}}bastien Bubeck and Michael B. Cohen and Yin Tat Lee and James R. Lee and Aleksander Madry}, title = {k-server via multiscale entropic regularization}, booktitle = {Proceedings of the 50th Annual {ACM} {SIGACT} Symposium on Theory of Computing, {STOC} 2018, Los Angeles, CA, USA, June 25-29, 2018}, pages = {3--16}, year = {2018}, } [ abs | bib ] Separators in region intersection graphs (ITCS'17) A region intersection graph over a base graph \(G_0\) is a graph \(G\) whose vertices correspond to connected subsets of \(G_0\) with an edge between two vertices if the corresponding regions intersect. We show that if \(G_0\) excludes the complete graph \(K_h\) as a minor, then every region intersection graph over \(G_0\) with m edges has a balanced separator with \(O(\sqrt{m})\) nodes. If \(G\) has uniformly bounded vertex degrees, we show the separator is found by spectral partitioning. A string graph is the intersection graph of continuous arcs in the plane. The preceding result implies that every string graph with m edges has a balanced separator of size \(O(\sqrt{m})\). This bound is optimal, as it generalizes the planar separator theorem. It confirms a conjecture of Fox and Pach (2010) and improves over the \(O(\sqrt{m} \log m)\) bound of Matousek (2013). @inproceedings{LeeStrings17, author = {James R. Lee}, title = {Separators in Region Intersection Graphs}, booktitle = {8th Innovations in Theoretical Computer Science Conference, {ITCS} 2017, January 9-11, 2017, Berkeley, CA, {USA}}, pages = {1:1--1:8}, year = {2017}, } Recent work [probability] : [ abs | bib ] Discrete uniformizing metrics on distributional limits of sphere packings (GAFA, 2018) If \((G, \rho)\) is the distributional limit of finite graphs that can be sphere-packed in \(\mathbb{R}^d\), then the conformal growth exponent of \((G, \rho)\) is at most d. In other words, there exists a unimodular unit volume weighting of the graph metric on G such that the volume growth of balls is asymptotically polynomial with exponent d. This generalizes to graphs that can be quasisymmetrically packed in an Ahlfors d-regular metric measure space. Using our previous work, it gives bounds on the almost sure spectral dimension of G. @article{LeeGAFA18, AUTHOR = {Lee, James R.}, FJOURNAL = {Geometric and Functional Analysis}, JOURNAL = {Geom. Funct. Anal.}, NUMBER = {4}, PAGES = {1091--1130}, TITLE = {Discrete uniformizing metrics on distributional limits of sphere packings}, VOLUME = {28}, YEAR = {2018} } [ abs | bib ] Conformal growth rates and spectral geometry on distributional limits of graphs (preprint, 2017) [credit: Jrmie Bettinelli ] For a unimodular random graph \((G, \rho)\), we consider deformations of its intrinsic path metric by a (random) weighting of its vertices. This leads to the notion of the conformal growth exponent of \((G, \rho)\), which is the best asymptotic degree of volume growth of balls that can be achieved by such a weighting. Under moment conditions on the degree of the root, we show that the conformal growth exponent of a unimodular random graph bounds its almost sure spectral dimension. For two-dimensional growth, one obtains more precise information about recurrence, the heat kernel, and subdiffusivity of the random walk. In particular, this gives a new method for studying the uniform infinite planar triangulation (UIPT) and quadrangulation (UIPQ). [ abs | bib ] Diffusive estimates for random walks on stationary random graphs of polynomial growth , with S. Ganguly and Y. Peres (GAFA, 2017) We show that if $(G,\rho)$ is a stationary random graph of annealed polynomial growth, then almost surely there is an infinite sequence of times at which the random walk started from x is at most diffusive. This result is new even in the case when G is a stationary random subgraph of $\mathbb{Z}^d$. Combined with the work of Benjamini, Duminil-Copin, Kozma, and Yadin , it implies that G almost surely does not admit a non-constant harmonic function of sublinear growth. To complement this, we argue that passing to a subsequence of times is necessary, as there are stationary random graphs of (almost sure) polynomial growth where the random walk is almost surely superdiffisuve at an infinite subset of times. Addendum: In the paper, we ask whether passing to a subsequence of times is necessary when $G$ is a stationary random subgraph of $\mathbb{Z}^d$. For the case $d=2$, it holds for all times using my paper with Ding and Peres . For $d$ sufficiently large, passing to a subsequence of times is necessary; this can be proved by showing that our stationary random graph occurs as a stationary random subgraph of $\mathbb{Z}^d_{\infty}$, using my paper with Krauthgamer . @article {GLP17, AUTHOR = {Ganguly, Shirshendu and Lee, James R. and Peres, Yuval}, TITLE = {Diffusive estimates for random walks on stationary random graphs of polynomial growth}, JOURNAL = {Geom. Funct. Anal.}, FJOURNAL = {Geometric and Functional Analysis}, VOLUME = {27}, YEAR = {2017}, NUMBER = {3}, PAGES = {596--630}, } [ abs | bib ] Transport-entropy inequalities and curvature for discrete-space Markov chains , with R. Eldan and J. Lehec (Matousek, 2017) We show that if the random walk on a graph has positive coarse Ricci curvature in the sense of Ollivier, then the stationary measure satisfies a \(W^1\) transport-entropy inequality. Peres and Tetali have conjectured a stronger consequence, that a modified log-Sobolev inequality (MLSI) should hold, in analogy with the setting of Markov diffusions. We discuss how our entropy interpolation approach suggests a natural attack on the MLSI conjecture. @incollection {ELL17, AUTHOR = {Eldan, Ronen and Lee, James R. and Lehec, Joseph}, TITLE = {Transport-entropy inequalities and curvature in discrete-space {M}arkov chains}, BOOKTITLE = {A journey through discrete mathematics}, PAGES = {391--406}, PUBLISHER = {Springer}, YEAR = {2017}, } Other selected papers : [ abs | bib ] Lower bounds on the size of semidefinite programming relaxations , with P. Raghavendra and D. Steurer (STOC'15) [credit: Bernd Sturmfels ] We introduce a method for proving lower bounds on the efficacy of semidefinite programming (SDP) relaxations for combinatorial problems. In particular, we show that the cut, TSP, and stable set polytopes on n-vertex graphs are not the linear image of the feasible region of any SDP (i.e., any spectrahedron) of dimension less than \(2^{n^c}\), for some constant \(c > 0\). This result yields the first super-polynomial lower bounds on the semidefinite extension complexity of any explicit family of polytopes. Our results follow from a general technique for proving lower bounds on the positive semidefinite rank of a matrix. To this end, we establish a close connection between arbitrary SDPs and those arising from the sum-of-squares SDP hierarchy. For approximating maximum constraint satisfaction problems, we prove that SDPs of polynomial-size are equivalent in power to those arising from degree-O(1) sum-of-squares relaxations. This result implies, for instance, that no family of polynomial-size SDP relaxations can achieve better than a 7/8-approximation for MAX-3-SAT. [ PPT slides ] Best paper award, STOC 2015 @inproceedings{LRS15, AUTHOR = {James R. Lee and Prasad Raghavendra and David Steurer}, BOOKTITLE = {Proceedings of the Forty-Seventh Annual {ACM} on Symposium on Theory of Computing, {STOC} 2015, Portland, OR, USA, June 14-17, 2015}, NOTE = {Full version at \verb|https://arxiv.org/abs/1411.6317|}, PAGES = {567--576}, TITLE = {Lower Bounds on the Size of Semidefinite Programming Relaxations}, YEAR = {2015} } [ abs | bib ] Regularization under diffusion and anti-concentration of the information content , with R. Eldan (FOCS'15; Duke) We show that under the Ornstein-Uhlenbeck semigroup (i.e., the natural diffusion process) on n-dimensional Gaussian space, any nonnegative, measurable function exhibits a uniform tail bound better than that implied by Markovs inequality and conservation of mass. This confirms positively the Gaussian limiting case of Talagrands convolution conjecture (1989). Video: Talagrands convolution conjecture and geometry via coupling (IAS) @article {ElDuke18, AUTHOR = {Eldan, Ronen and Lee, James R.}, TITLE = {Regularization under diffusion and anticoncentration of the information content}, JOURNAL = {Duke Math. J.}, FJOURNAL = {Duke Mathematical Journal}, VOLUME = {167}, YEAR = {2018}, NUMBER = {5}, PAGES = {969--993}, } [ abs | bib ] Approximate constraint satisfaction requires large LP relaxations , with S. O. Chan, P. Raghavendra, and D. Steurer (FOCS'13; JACM) [credit: Fiorini, Rothvoss, and Tiwary ] We prove super-polynomial lower bounds on the size of linear programming relaxations for approximation versions of constraint satisfaction problems. We show that for these problems, polynomial-sized linear programs are exactly as powerful as programs arising from a constant number of rounds of the Sherali-Adams hierarchy. In particular, any polynomial-sized linear program for Max Cut has an integrality gap of 1/2 and any such linear program for Max 3-Sat has an integrality gap of 7/8. Video: Linear programming and constraint satisfaction (Simons Institute) @article {CLRS16, AUTHOR = {Chan, Siu On and Lee, James R. and Raghavendra, Prasad and Steurer, David}, TITLE = {Approximate constraint satisfaction requires large {LP} relaxations}, JOURNAL = {J. ACM}, FJOURNAL = {Journal of the ACM}, VOLUME = {63}, YEAR = {2016}, NUMBER = {4}, PAGES = {Art. 34, 22}, } [ abs | bib ] Multi-way spectral partitioning and higher-order Cheeger inequalities , with S. Oveis-Gharan and L. Trevisan (STOC'12; JACM) A basic fact in spectral graph theory is that the number of connected components in an undirected graph is equal to the multiplicity of the eigenvalue zero in the Laplacian matrix of the graph. In particular, the graph is disconnected if and only if there are at least two eigenvalues equal to zero. Cheegers inequality and its variants provide a robust version of the latter fact; they state that a graph has a sparse cut if and only if there are at least two eigenvalues that are close to zero. It has been conjectured that an analogous characterization holds for higher multiplicities: There are k eigenvalues close to zero if and only if the vertex set can be partitioned into k subsets, each defining a sparse cut. We resolve this conjecture positively. Our result provides a theoretical justification for clustering algorithms that use the bottom k eigenvectors to embed the vertices into \(\mathbb{R}^k\), and then apply geometric considerations to the embedding. We also show that these techniques yield a nearly optimal quantitative connection between the expansion of sets of measure 1/k and the kth smallest eigenvalue of the normalized Laplacian. Notes: A no frills proof of the higher-order Cheeger inequality Related: One hundred hours of lectures from the SGT program at the Simons Institute. Related: Laurent Miclo uses the higher-order Cheeger inequality for the basis of his resolution of Hoegh-Krohn and Simons conjecture that every hyperbounded operator has a spectral gap. @article{LOT14, AUTHOR = {Lee, James R. and Gharan, Shayan Oveis and Trevisan, Luca}, FJOURNAL = {Journal of the ACM}, JOURNAL = {J. ACM}, NUMBER = {6}, PAGES = {Art. 37, 30}, TITLE = {Multiway spectral partitioning and higher-order {C}heeger inequalities}, VOLUME = {61}, YEAR = {2014} } [ abs | bib ] Cover times, blanket times, and majorizing measures , with J. Ding and Y. Peres (STOC'11; Ann. Math.) We show that the cover time of a graph can be related to the square of the maximum of the associated Gaussian free field. This yields a positive answer to a question of Aldous and Fill (1994) on deterministic approximations to the cover time, and positively resolves the Blanket Time conjecture of Winkler and Zuckerman (1996). Video: Cover times of graphs and the Gaussian free field (Newton Institute) Notes: Majorizing measures and Gaussian processes Related questions and conjectures (all solved except the one after Lemma 4) See also the related preprint of Alex Zhai that resolves our main conjecture. @article{DLP12, AUTHOR = {Ding, Jian and Lee, James R. and Peres, Yuval}, FJOURNAL = {Annals of Mathematics. Second Series}, JOURNAL = {Ann. of Math. (2)}, NUMBER = {3}, PAGES = {1409--1471}, TITLE = {Cover times, blanket times, and majorizing measures}, VOLUME = {175}, YEAR = {2012} } [ abs | bib ] Eigenvalue bounds, spectral partitioning, and metrical deformations via flows , with P. Biswal and S. B. Rao (FOCS'08; JACM) A method is presented for establishing an upper bound on the first non-trivial eigenvalue of the Laplacian of a finite graph. Our approach uses multi-commodity flows to deform the geometry of the graph, and the resulting metric is embedded into Euclidean space to recover a bound on the Rayleigh quotient. Using this, we resolve positively a question of Spielman and Teng by proving that \(\lambda_2(G) \leq O(d h^6 \log h/n)\) whenever \(G\) is a \(K_h\)-minor-free graph with maximum degree \(d\). While the standard sweep algorithm applied to the second eigenvector of a graph my fail to find a good quotient cut in graphs of unbounded degree, the arguments here produce a vector that works for arbitrary graphs. This yields an alterante proof of the Alon-Seymour-Thomas theorem that every excluded-minor family of graphs has \(O(\sqrt{n})\)-node balanced separators. Related: These methods are extended to higher eigenvalues in a joint work with Kelner, Price, and Teng . Related: These method form the basis for the uniformization and heat kernel bounds in Conformal growth rates and spectral geometry on distributional limits of graphs . @article {MR2665882, AUTHOR = {Biswal, Punyashloka and Lee, James R. and Rao, Satish}, TITLE = {Eigenvalue bounds, spectral partitioning, and metrical deformations via flows}, JOURNAL = {J. ACM}, FJOURNAL = {Journal of the ACM}, VOLUME = {57}, YEAR = {2010}, NUMBER = {3}, PAGES = {Art. 13, 23}, } [ abs | bib ] \(L_p\) metrics on the Heisenberg group and the Goemans-Linial conjecture , with A. Naor (FOCS'06) [credit: Patrick Massot] We prove that the function \(d : \mathbb{R}^3 \times \mathbb{R}^3 \to [0,\infty)\) given by \begin{align*} d(&(x,y,z),(t,u,v)) \\ &= \left(\left[\left((t-x)^2+(u-y)^2\right)^2 + (v-z+2xu-2yt)^2\right]^{1/2} + (t-x)^2 + (u-y)^2\right)^{1/2} \end{align*} is a metric on \(\mathbb{R}^3\) such that \((\mathbb{R}^3, \sqrt{d})\) is isometric to a subset of Hilbert space, yet \((\mathbb{R}^3,d)\) does not admit a bi-Lipschitz embedding into \(L_1\). This yields a new simple counter example to the Goemans-Linial conjecture on the integrality gap of the SDP relaxation of the Sparsest Cut problem. Our methods involve Fourier analytic techniques, combined with a breakthrough of Cheeger and Kleiner , along with classical results of Pansu on the differentiability of Lispchitz functions on the Heisenberg group. @inproceedings{LN06, author = {James R. Lee and Assaf Naor}, title = {Lp metrics on the Heisenberg group and the Goemans-Linial conjecture}, booktitle = {47th Annual {IEEE} Symposium on Foundations of Computer Science {(FOCS} 2006), 21-24 October 2006, Berkeley, California, USA, Proceedings}, pages = {99--108}, year = {2006}, } [ abs | bib ] Euclidean distortion and the Sparsest Cut , with S. Arora and A. Naor (STOC'05; JAMS) We prove that every \(n\)-point metric space of negative type (and, in particular, every \(n\)-point subset of \(L_1\)) embeds into a Euclidean space with distortion \(O(\sqrt{\log n} \log \log n)\), a result which is tight up to the iterated logarithm factor. As a consequence, we obtain the best known polynomial-time approximation algorithm for the Sparsest Cut problem with general demands. If the demand is supported on a set of size \(k\), we achieve an approximation ratio of \(O(\sqrt{\log k} \log \log k)\). @article {LN08, AUTHOR = {Arora, Sanjeev and Lee, James R. and Naor, Assaf}, TITLE = {Euclidean distortion and the sparsest cut}, JOURNAL = {J. Amer. Math. Soc.}, FJOURNAL = {Journal of the American Mathematical Society}, VOLUME = {21}, YEAR = {2008}, NUMBER = {1}, PAGES = {1--21}, } [ abs | bib ] Improved approximation algorithms for minimum-weight vertex separators , with M.-T. Hajiaghayi and U. Feige (STOC'05; SICOMP) We develop the algorithmic theory of vertex separators, and its relation to embeddings of certain metric spaces. As a consequence, we obtain an \(O(\sqrt{\log n})\)-approximation for min-ratio vertex cuts in general graphs based on a new SDP relaxation and a tight analysis of its integrality gap. Our results allow yield algorithms for constructing approximately optimal tree decompositions of graphs. If a graph has treewidth \(k\), we find a tree decomposition of width at most \(O(k \sqrt{\log k})\). If, additionally, the input graph excludes a fixed graph as a minor, we produce a tree decomposition of width \(O(k)\). Related: A similar method gives improved bounds for the minimum linear arrangement problem . @article {FHL08, AUTHOR = {Feige, Uriel and Hajiaghayi, Mohammadtaghi and Lee, James R.}, TITLE = {Improved approximation algorithms for minimum weight vertex separators}, JOURNAL = {SIAM J. Comput.}, FJOURNAL = {SIAM Journal on Computing}, VOLUME = {38}, YEAR = {2008}, NUMBER = {2}, PAGES = {629--657}, } My research has been generously supported by the National Science Foundation, the Simons Foundation, the Sloan Foundation, and Microsoft. diff --git a/src/data/compiled_bios/3846.txt b/src/data/compiled_bios/3846.txt new file mode 100644 index 0000000000..e3df938c5d --- /dev/null +++ b/src/data/compiled_bios/3846.txt @@ -0,0 +1 @@ +Lee Lab Search this site Lee Lab Menu Home Su-In Lee Research Publications People Press Internal Projects Lee Lab Home Su-In Lee Research Publications People Press Internal Projects More Home Su-In Lee Research Publications People Press Internal Projects Lee Lab Explainable Artificial Intelligence for Biology & Precision Medicine Prof. Su-In Lee's lab seeks to develop explainable AI for healthcare and life sciences. Some of her highlighted research include (i) treating cancer based on a patients own molecular profile ( Nature Communications 2018 ; Selected by F1000 ), (ii) preventing complications during surgery ( Nature BME 2018 ; Cover article ), (iii) ML theories on explainable AI ( NeurIPS Dec 2017 Full Oral ; Cited 100+times in 2018), and (iv) finding therapeutic targets for Alzheimers disease. More recent projects include (v) predicting kidney diseases, (vi) enabling pre-hospital predictions for trauma patients, and (vii) improving our understanding of pan-cancer biology, (viii) human genome, and (ix) protein folding. Lee Lab is currently collaborating with biomedical researchers and clinicians in UW School of Medicine, Allen Institutes, Dana-Farber Cancer Institute, Harvard Medical School, University of British Columbia, etc. News 12/31/2018: Scott's SHAP paper (NeurIPS oral presentation) got cited 100 times as of today after about 1 year it was published. 11/1/2018: Our EMBARKER project on identifying therapeutic targets for Alzheimer's disease won the Madrona Prize at the Allen School 2018 Industry Affiliates Annual Research Day. Last year , Scott won the same prize on his model interpretation work, SHAP (NIPS oral presentation) and his Nature BME paper featured on the cover (see below). GeekWire - From fighting Alzheimers to AR captions, UW computer science students show cutting-edge innovations BusinessWire - Madrona Awards 2018 Madrona Prize to UW Project That Applies Machine Learning to Fighting Alzheimers Disease 10/31/2018: Su-In has been selected by UW Medicine to deliver the Science in Medicine Lecture (10/31). The video recording of her talk can be found here . 10/10/2018: Scott's Prescience paper is published as a cover article of the October issue of Nature Biomedical Engineering . Nature BME Editorial - Towards trustable machine learning UW News - Prescience: Helping doctors predict the future GeekWire - Univ. of Washington researchers unveil Prescience, an AI system that predicts problems during surgery Allen School News - Prescience interpretable machine-learning system for predicting complications during surgery featured in Nature Biomedical Engineering 5/3/2018: Safiye Celik's and Su-In Lee's research is featured in GeekWire . 4/3/2018: Hugh Chen receives the NSF Graduate Research Fellowships Program (GRFP). 3/27/2018: Safiye Celik's MERGE paper ( Nature Communications 2018) is recommended in F1000Prime as being of special significance in its field. 3/21/2018: Safiye Celik's research is featured in I Am CSE . Su-In's lecture was selected as the best talk at CGWI 2018 (Computational Genomics Winter Institute): Interpretable Machine Learning for Precision Medicine . 1/3/2018: Safiye's precision oncology paper got published in Nature Communications . See Allen School News , UW Huddle , and UW Medicine News . UW Huddle - Personal beginnings for a personalized medicine breakthrough Allen School News - Researchers MERGE machine learning and medicine to enable targeted treatment of individual cancer patients 9/4/2017: Scott Lundberg's SHAP paper is accepted to Neural Information Processing Systems (NIPS) 2017 for Full Oral Presentation. 8/7/2017: Gabriel Erion won the Best Poster Award: "Prediction and Prevention of Perioperative Adverse Events with Machine Learning Models", University of Washington MSTP (MD/PhD program) retreat, 2017. 2/7/2017: Scott Lundberg's ChromNet paper ( Genome Biology 2016) is recommended in F1000Prime as being of special significance in its field. 11/20/2016: Scott Lundberg receives the Best Paper Award at the NIPS workshop "Interpretable Machine Learning for Complex Systems". 8/12/2016: Javad Hosseini's GRAB paper is accepted to Neural Information Processing Systems (NIPS) 2016 . 7/15/2016: Nao Hiranuma's CloudControl paper is accepted to ACM Conference on Bioinformatics, Computational Biology (ACM-BCB) 2016 . 7/6/2016: Safiye Celik's INSPIRE paper is featured in Casey Greene. The future is unsupervised. Science Translational Medicine July 2016 . 6/10/2016: Safiye Celik's INSPIRE work is published in Genome Medicine June 2016 . 5/4/2016: Maxim Grechkin's DISCERN work is published in PLOS Computational Biology May 2016 . 4/30/2016: Scott Lundberg's ChromNet work is published in Genome Biology April 2016 . See ChromNet browser . 2/8/2016: Javad Hosseini got ranked #1 in the DiMSUM competition . See Hosseini, Smith and Lee. NAACL Workshop SemEval 2016 Task10. Prof. Su-In Lee's lab seeks to develop interpretable machine learning techniques to learn from big data: (1) how the human genome or protein works, (2) how to improve healthcare, and (3) how to treat challenging diseases such as cancer and Alzheimer's disease. Her research page lists her projects, including treating cancer based on a patient's own expression profile, finding therapeutic targets for Alzheimer's, predicting kidney disease, preventing complications during surgery, enabling pre-hospital predictions for trauma patients, analyzing medical images, and improving our understanding of pan-cancer biology and genome biology. Made with the new GoogleSites , an effortless way to create beautifulsites. Report abuse diff --git a/src/data/compiled_bios/3847.txt b/src/data/compiled_bios/3847.txt new file mode 100644 index 0000000000..54f02cfb4a --- /dev/null +++ b/src/data/compiled_bios/3847.txt @@ -0,0 +1 @@ + Yin Tat Lee Publications Teaching CV Theory Group Data Science Yin Tat Lee Convex Optimization, Spectral Graph, and Online Algorithms. CSE 562, UW yintat@ ignoreme- uw.edu dblp arXiv Google Scholar He is an assistant professor in the Paul G. Allen School of Computer Science & Engineering at the University of Washington and a visiting researcher in Microsoft Research AI . His research interests are primarily in algorithms and they span a wide range of topics such as convex optimization, convex geometry, spectral graph theory, and online algorithms. His primary research goal is to find algorithms for solving a general class of convex optimization problems. He has received a variety of awards for his work, including Best Paper Award and 2 x Best Student Paper Awards at FOCS, Best Paper Award at SODA, Best Paper Award at NeurIPS, Sprowls Award and NSF CAREER Award , and A.W. Tucker Prize . This is written in third person so that anyone (including me) can copy it as a talk bio. Current funding: NSF awards CCF-1749609 , CCF-1740551 and DMS-1839116 . Email: yintat@ ignoreme- uw.edu Office: CSE 562 2019 Yin Tat Lee. Powered by Jekyll & AcademicPages , a fork of Minimal Mistakes . See the background equations here . diff --git a/src/data/compiled_bios/3848.txt b/src/data/compiled_bios/3848.txt new file mode 100644 index 0000000000..c424671bbd --- /dev/null +++ b/src/data/compiled_bios/3848.txt @@ -0,0 +1 @@ +Hank is Director of the Paul G. Allen School and Wissner-Slivka Chair in Computer Science & Engineering at the University of Washington, where his research projects concern operating systems, distributed systems, security, the world-wide web, and computer architecture. He launched his career at Digital Equipment Corporation (DEC), an early computer manufacturer, where he worked on commercial operating systems and system architecture. The author of two books and more than 100 papers on computer systems design, his publications have earned nearly 20 best-paper awards and "test of time/influential paper" awards in operating systems and computer architecture. Hank has supervised 25 Ph.D. students, many of whom now hold academic positions. Hank is a Member of the National Academy of Engineering (NAE), a Fellow of the Association for Computing Machinery (ACM), a Fellow of the Institute for Electrical and Electronics Engineers (IEEE), and recipient of a Fulbright Research Scholar Award. He is former chair of ACM SIGOPS (the Special Interest Group on Operating Systems), former program chair of the ACM Symposium on Operating Systems Principles (SOSP), The USENIX Conference on Operating Systems Design and Implementation (OSDI), the ACM Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), and the IEEE Workshop on Hot Topics in Operating Systems (HOTOS). He has co-founded two companies -- Skytap , a Seattle cloud-computing company, and Performant, Inc., a Java-based performance management company that was acquired by Mercury in 2003. He is a member of the Technical Advisory Boards of Isilon Systems , Zillow.com , Turi (formerly GraphLab), Alibaba , and Madrona Venture Group . He served as the CSE project leader for the design and construction of the Paul G. Allen Center for Computer Science & Engineering and the new Bill & Melinda Gates Center , and is art curator for the Allen Center art collection . diff --git a/src/data/compiled_bios/3849.txt b/src/data/compiled_bios/3849.txt new file mode 100644 index 0000000000..0d03c807e0 --- /dev/null +++ b/src/data/compiled_bios/3849.txt @@ -0,0 +1 @@ + Huijia Lin Huijia (Rachel) Lin Assistant Professor Department of Computer Science , UCSB Harold Frank Hall 1153 Santa Barbara, CA, 93106 Email: rachel.lin at cs dot ucsb dot edu I am an assistant professor in the Department of Computer Science at the University of California, Santa Barbara. From 2011 to 2013, I was a post-doctoral researcher at CSAIL MIT and the Computer Science department of Boston University , working with Shafi Goldwasser and Ran Canetti . I completed my PhD in 2011 at Cornell University with Rafael Pass as advisor. Previously, I obtained my Bachelor of Science in Computer Science from Zhejiang University , China. News! Starting from Jan 2019, I will be an Associate Professor at the Paul G. Allen School of Computer Science and Engineering , at University of Washington , Seattle. To new students, if you are interested in working with me, please apply to the PhD program there. Research Interests My research interests are in Cryptography, and its interplay with other areas in computer science, such as, complexity theory, algorithm design, and security. Teaching CS178 Introduction to Cryptography (undergraduate): Spring 2018 , Winter 2017 , Winter 2016 , Winter 2015 CS292F Advanced Topics in Cryptography (graduate): Fall 2018 , Fall 2016 , Spring 2016 , Fall 2017 CS40 Foundations of Computer Science (undergraduate): Fall 2015 CS130b Data Structure and Algorithms II (undergraduate): Spring 2015 , Winter 2018 CS595N Faculty Research Seminar (graduate): Winter 2015 , Winter 2016 CS290G Introduction to Cryptography (graduate): Fall 2014 CS290G Secure Computation (graduate): Spring 2014 Program Committees EUROCRYPTO 2019, The 38th Annual International Conference on the Theory and Applications of Cryptographic Techniques CRYPTO 2017 TCC 2016-B STOC 2016, The 48th Annual Symposium on the Theory of Computing TCC 2016-A, The 13th IACR Theory of Cryptography Conference CRYPTO 2015 CRYPTO 2013, The 33th International Cryptology Conference TAMC 2013, The 10th Annual Conference on Theory and Applications of Models of Computation Students Binyi Chen PhD (co-advised with Professor Stefano Tessaro ) Pratik Soni PhD (co-advised with Professor Stefano Tessaro ) Ben Terner PhD (co-advised with Professor Stefano Tessaro ) Asad Ismail Master (graduated, now at Amazon) Post-doc Christian Matt , PhD ETH Publications Two-Round Adaptively Secure Multiparty Computation from Standard Assumptions Fabrice Benhamouda , Huijia Lin, Antigoni Polychroniadou , Muthuramakrishnan Venkitasubramaniam ( TCC 2018 ) One-Message Zero Knowledge and Non-Malleable Commitments Nir Bitansky , Huijia Lin ( TCC 2018 ) Pharos: Privacy Hazards of Replicating ORAM Stores Victor Zakhary ,Cetin Sahin , Amr El Abbadi ,Huijia Lin,Stefano Tessaro ( EDBT2018 ) k -Round MPC from k-Round OT via Garbled Interactive Circuits Fabrice Benhamouda , Huijia Lin (EUROCRYPT 2018) Best Paper Award Foundations of Homomorphic Secret Sharing Elette Boyle, Nir Gilboa , Yuval Ishai , Huijia Lin, Stefano Tessaro (ITCS 2018) A Unified Approach to Constructing Black-box UC Protocols in Trusted Setup Models Susumu Kiyoshima , Huijia Lin, Muthuramakrishnan Venkitasubramaniam (TCC 2017) Two-Round and Non-Interactive Concurrent Non-Malleable Commitments from Time-Lock Puzzles Huijia Lin, Rafael Pass, Pratik Soni (FOCS 2017) Invited to SICOMP, special issue for FOCS 2017. Indistinguishability Obfuscation from Trilinear Maps and Block-Wise Local PRGs Huijia Lin and Stefano Tessaro (CRYPTO 2017) Indistinguishability Obfuscation from SXDH on 5-linear Maps and Locality-5 PRGs Huijia Lin (CRYPTO 2017) On Removing Graded Encodings from Functional Encryption Nir Bitansky , Huijia Lin, Omer Paneth (EUROCRYPT 2017) Delegating RAM Computations with Adaptive Soundness and Privacy Prabhanjan Ananth , Yu-Chi Chen, Kai-Min Chung, Huijia Lin, Wei-Kai Lin ( TCC 2016-B ) Indistinguishability Obfuscation from DDH-like Assumptions on Constant-Degree Graded Encodings Huijia Lin, Vinod Vaikuntanathan ( FOCS 2016 ) TaoStore : Overcoming Asynchronicity in Oblivious Data Storage Cetin Sahin , Victor Zakhary , Amr El Abbadi , Huijia Lin,Stefano Tessaro (S&P 2016) Indistinguishability Obfuscation from Constant-degree Ideal Graded Encodings Huijia Lin (EUROCRYPT 2016) Best Paper Honorable Mention (Top 3 Submissions) Indistinguishability Obfuscation with Exponential Efficiency Huijia Lin, Rafael Pass, Karn Seth, Sidharth Telang (PKC 2016) Output-Compressing Randomized Encodings and Applications Huijia Lin, Rafael Pass, Karn Seth, Sidharth Telang (TCC 2016-A) Oblivious Parallel RAM: Improved Efficiency and Generic Constructions Binyi Chen, Huijia Lin, Stefano Tessaro (TCC 2016-A) Constant-Round Concurrent Zero-Knowledge from Indistinguishability Obfuscation Kai-Min Chung,Huijia Lin,Rafael Pass ( Crypto 2015 ) Succinct Randomized Encodings and their Applications Nir Bitansky , Sanjam Garg , Huijia Lin, Rafael Pass, Sidharth Telang ( STOC 2015 ) A merge of [BGT] and [LP] Invited to SICOMP, special issue for STOC 2015. Round-Efficient Concurrently Composable Secure Computation via a Robust Extraction Lemma Vipul Goyal , Huijia Lin, Omkant Pandey , Rafael Pass, Amit Sahai . (TCC 2015) Obfuscation of Probabilistic Circuits and Applications Ran Canetti, Huijia Lin, Stefano Tessaro , Vinod Vaikuntanathan . (TCC 2015) The Computational Benefit of Correlated Instances Irit Dinur , Shafi Goldwasser , Huijia Lin. (ITCS 2015) Leakage-Tolerant Computation with Input-Independent Preprocessing ( Full Version ) Nir Bitansky , Dana Dachman -Soled, Huijia Lin. (CRYPTO 2014) The Hunting of the SNARK Nir Bitansky , Ran Canetti, Alessandro Chiesa , Shafi Goldwasser , Huijia Lin, Aviad Rubinstein, Eran Tromer ( Eprint 2014, Journal of Cryptography ) Constant-Round Concurrent Zero-Knowledge from P-Certificates Kai-Min Chung, Huijia Lin, Rafael Pass. (FOCS 2013) From Unprovability to Environmentally Friendly Protocols Ran Canetti, Huijia Lin, Rafael Pass. (FOCS 2013) Invited to the 51 st Annual Allerton Conference. Amplification of Chosen- Ciphertext Security Huijia Lin, Stefano Tessaro . (EUROCRYPT 2013) Public Coin Concurrent Zero-Knowledge in the Global Hash Model Ran Canetti, Huijia Lin, Omer Paneth . (TCC 2013) On the Power of Nonuniformity in Proofs of Security Kai-Min Chung, Huijia Lin, Mohammad Mahmoody , Rafael Pass. (ITCS 2013) A Unified Framework for UC from Only OT Huijia Lin, Rafael Pass, Muthuramakrishnan Venkitasubramaniam . (ASIACRYPT 2012) Invited to Journal of Cryptography Black-box Constructions of Composable Protocols without Set-Up Huijia Lin, Rafael Pass. ( Crypto 2012) Constant-round Non-Malleable Commitments from Any One-Way Function ( Journal Version ) Huijia Lin, Rafael Pass. ( STOC 2011, Journal of the ACM) Concurrent Non-Malleable Zero Knowledge with Adaptive Inputs Huijia Lin, Rafael Pass. ( TCC 2011 ) After-the-Fact Leakage in Public-Key Encryption Shai Halevi , Huijia Lin. ( TCC 2011 ) Adaptive Hardness and Composable Security in the Plain Model from Standard Assumptions ( Journal Version ) Ran Canetti, Huijia Lin, Rafael Pass. ( FOCS 2010, SIAM Journal on Computing) Invited to SIAM Journal of Computing, special issue for selected papers of FOCS 2010. Concurrent Non-Malleable Zero Knowledge Proofs Huijia Lin, Rafael Pass, Wei-Lung Dustin Tseng, Muthuramakrishnan Venkitasubramaniam . (Crypto 2010) Non-malleability Amplification Huijia Lin, Rafael Pass. (STOC 200 9) A Unified Framework for Concurrent Security: Universal Composability from Stand-alone Non-malleability Huijia Lin, Rafael Pass, Muthu Venkitasubramaniam . (STOC 2009 ) Concurrent Non-Malleable Commitments from One-way Functions Huijia Lin, Rafael Pass, Muthu Venkitasubramaniam . (TCC 2008 ) Invited to Journal of Cryptography Composable Information Gradients in Wireless Sensor Networks Huijia Lin, Maohua Lu, Nikola Milosavljevic , Jie Gao , Leonidas J. Guibas . (IPSN 2008) RICH: Automatically Protecting Against Integer-Based Vulnerabilities David Brumley , Tzi-cker Chiueh , Robert Johnson, Huijia Lin, Dawn Song. (NDSS 2007) Concurrent Security Huijia Lin Ph.D Thesis . Cornell University, Nov. 2011 diff --git a/src/data/compiled_bios/385.txt b/src/data/compiled_bios/385.txt new file mode 100644 index 0000000000..e34aed4b03 --- /dev/null +++ b/src/data/compiled_bios/385.txt @@ -0,0 +1 @@ +Name: Paulk, Mark:: Position: Senior Lecturer:: Degrees: Ph.D., Industrial Engineering, University of Pittsburgh, 2005; M.S., Computer Science, Vanderbilt University, 1980; B.S., Mathematics and Computer Science, University of Alabama in Huntsville, 1978; Research Interests: High maturity practices; Statistical thinking; Best practices for software engineering; Agile methods; Empirical software engineering; Major Honors and Awards: Outstanding Faculty Teaching Award, University of Texas at Dallas, Erik Jonsson School of Engineering and Computer Science, Computer Science Department, 2014; Extreme Programming from a CMM Perspective (published in 2001) selected as one of IEEE Softwares 25th-Anniversary Top Picks (IEEE Software, January/February 2009); Capability Maturity Model, Version 1.1 (published in 1993, co-authored with Weber, Curtis, and Chrissis) selected as one of The Most Cited IEEE Software Articles (IEEE Software, January/February 2009); Carnegie Mellon Certificate of Merit for Excellence in Satisfying Customers: Capability Maturity Model for Software Team, 1995; SEI Customer Satisfaction Award for work in developing the Capability Maturity Model for Software, 1992; RepresentativePublications: J. Garzas and M.C. Paulk, A Case Study of Software Process Improvement with CMMI-DEV and Scrum in Spanish Companies, Journal of Software: Evolution and Process, 2013.; M.C. Paulk, A Scrum Adoption Survey, ASQ Software Quality Professional, Vol. 15, No. 2, March 2013, pp. 27-34.; D.M. Northcutt and M.C. Paulk, A Statistical Sampling Methodology for Process Assessments, ASQ Software Quality Professional, Vol. 12, No. 4, September 2010, pp. 19-28.; E.B. Hyder, K.M. Heston, M.C. Paulk, and W.E. Hefley, The eSourcing Capability Model for Service Providers, Van Haren Publishing, Zaltbommel, Netherlands, 2010.; C.F. Kemerer and M.C. Paulk, The Impact of Design and Code Reviews on Software Quality: An Empirical Study Based on PSP Data, IEEE Transactions on Software Engineering, Vol. 35, No. 4, July/August 2009, pp. 534-550.; diff --git a/src/data/compiled_bios/3850.txt b/src/data/compiled_bios/3850.txt new file mode 100644 index 0000000000..6d8c79ba1b --- /dev/null +++ b/src/data/compiled_bios/3850.txt @@ -0,0 +1 @@ + Access denied | ratul.org used Cloudflare to restrict access Please enable cookies. Error 1010 Ray ID: 4aac31182cf95588 2019-02-17 23:56:39 UTC Access denied What happened? The owner of this website (ratul.org) has banned your access based on your browser's signature (4aac31182cf95588-ua48). Cloudflare Ray ID: 4aac31182cf95588 Your IP : 2601:240:8100:c5e1:65e7:2b40:4aea:274b Performance & security by Cloudflare diff --git a/src/data/compiled_bios/3851.txt b/src/data/compiled_bios/3851.txt new file mode 100644 index 0000000000..46e1b3c2fb --- /dev/null +++ b/src/data/compiled_bios/3851.txt @@ -0,0 +1 @@ + Jennifer Mankoff Make4all Skip to content Make4all Jennifer Mankoff | University of Washington Menu Research Projects Teaching News People Lab Values Working In Our Group Jennifer Mankoff Research | Students | Teaching | Bio | CV | Advice | Fun | Contact Research My work focuses on assistive technologies for access, health and wellness, and takes a multifaceted approach that includes machine learning, 3D printing, and tool building. At a high level, my goal is to tackle the technicalchallenges necessaryfor everyday individuals and communities to solve real-world problems ( see all the Make4all projects ). Some of my most recent projects: Your Portfolio Archive currently has no entries. You can start creating them on your dashboard. Students Current PhD students: Yasaman Sefidgar; Megan Hofmann (co-advised with Scott Hudson); Mark Baldwin (co-advised with Gillian Hayes) Yasaman Sefigar Venkatesh Potluri Orson (Xuhai) Xu Megan Hofmann Former PhD Students: Nikola Banovic (co-advised with Anind Dey); Christian Koehler; Sunyoung Kim ; Scott Carter ; Tara Matthews ; Julia Schwarz ; Tawanna Dillahunt ; Amy Hurst ; and Kirstin Early . Amy Hurst (co-advised with Scott Hudson) Kirstin Early (co-advised with Steven E. Feinberg) Nikola Banovic (PhD, co-advised with Anind Dey) Hongbo Ni (Visitor) Tawanna Dillahunt I love to work with undergraduate and masters students and have mentored more than I can count. My mentorship always tries to include career advice as well as project advice, whether students are going on to research or not. Many undergraduate students I advised have gone on to careers in research, however, including some current faculty (Julie Kientz, Gary Hsieh, Ruth Wylie). There are at least 50 other students who are alumni of my group who are not currently listed on this page but who all made important contributions to my work over the years. Some current mentees: Your Portfolio Archive currently has no entries. You can start creating them on your dashboard. Recent Alumni I mentored/advised: Xin Liu Aleks Tapinsh Gary Yang Nidhi Vyas Vikram Kamath Duncan McIsaac Additional alumni can be found on the Peoplepage. Teaching I love to teach, and have put significant time into curriculum development over the years. CLASSES DEVELOPED FOR AND TAUGHT AT CMU I am currently developing a new course on data centric computing, called The Data Pipeline . The course is accessible to novice programmers and includes a series of tutorials that can support independent online learning. I helped to redesign the HCI Masters course User Centered Research and Evaluation, specifically bringing a real world focus to our skills teaching around contextual inquiry I developed an online course specifically for folks who want to know enough program to be able to prototype simple interfaces (targeted at our incoming masters students). The course is available free online at CMUs Open Learning Initiative under Media Programming I developed and taught the Environment and Society course over the last five years. This was a project oriented course that took a very multifaceted look at the role of technology in solving environmental problems. I helped to develop a reading course that is required for our PhD students to ensure that they have depth in technical HCI: CS Mini Assistive Technology :I developed and taught one of the first Assistive Technology courses in the country (specifically from an HCI perspective), and I used a service learning model to do so. Original class I have helped to revamp Process and Theory over the years, a skills course intended for our first year PhD students. Bio My Bachelors of Arts was done at Oberlin College, where I was a member of two great societies FOO and ACM. I received my Ph.D. as a member of the Future Computing Environments research group in the College of Computing at Georgia Tech , Gregory Abowd and Scott Hudson were my advisors. I then spent three formative years at UC Berkeley as an Assistant Professor working with the I/O group and 12 years at CMU before joining the faculty of the University of Washington. My Academic genealogy on the Abowd side. Bio: Jennifer Mankoff is the Richard E. Ladner Professor in the Paul G. Allen School of Computer Science & Engineering at the University of Washington. Her research focuses on assistive technologies for equal access, health and wellness, and takes a multifaceted approach that includes machine learning, 3D printing, and tool building. Jennifer applies a human-centered approach that combines empirical methods and technical innovation. For example, she has designed 3D-printed assistive technologies for people with disabilities. Jennifer received her PhD at Georgia Tech, advised by Gregory Abowd and Scott Hudson, and her B.A. from Oberlin College.Her previous faculty positions include UC Berkeleys EECS department and Carnegie Mellons HCI Institute.Jennifer has been recognized with an Alfred P. Sloan Fellowship, IBM Faculty Fellowship and Best Paper awards from ASSETS, CHI and Mobile HCI. Some supporters of her research include Autodesk, Google Inc., the Intel Corporation, IBM, Hewlett-Packard, Microsoft Corporation and the National Science Foundation. Other Thoughts and Links internships for grads/undergrads advice about searching through literature, doing reviews, etc. Funding opportunities for grads and undergrads. Please email me if you need information or help regarding RSI (or are experiencing any computer-related pain). Support for women undergraduates in SCS, and other links about being a woman or minority in Computer Science I have chronic lyme disease. Lyme disease is the most common vector born disease in America today. I write about my experiences on A Lyme Disease Journal Best conference experience ever: The CHI2009 Stragglers Seder This slideshow requires JavaScript. Things I love (below) This slideshow requires JavaScript. Picture of my children, Kavi and Elena Artwork Ive done This slideshow requires JavaScript. My Viola My Husband My dogs: Demi, Nugget, Gryffin Contact Information Jennifer Mankoff jmankoff [at] acm.org 206 -685-3035 Paul G. Allen School of Computer Science & Engineering University of Washington Paul G. Allen Center 185 Stevens Way Campus Box 352350 Seattle, WA 98195 Share this: Click to share on Twitter (Opens in new window) Click to share on Facebook (Opens in new window) Click to share on Google+ (Opens in new window) Like this: Like Loading... Related Leave a Reply Cancel reply Your email address will not be published. Required fields are marked * Comment Name * Email * Website Notify me of new posts by email. Post navigation Previous Post Previous Scott Hudson Next Post Next Dan Ashbrook Subscribe via Email Enter your email address to subscribe to this blog and receive notifications of new posts by email. Join 998 other subscribers Email Address Search for: Search Top Posts & Pages Home Page People Teaching Research Projects News and Updates Lab Values Welcoming new group members and celebrating the new year Twitter My Tweets Archives Archives Select Month October 2018 August 2018 April 2018 September 2017 January 2017 November 2016 September 2016 May 2016 November 2013 February 2013 January 2013 August 2012 July 2012 June 2012 April 2012 March 2012 January 2012 December 2011 November 2011 October 2011 September 2011 August 2011 July 2011 June 2011 May 2011 Proudly powered by WordPress %d bloggers like this: diff --git a/src/data/compiled_bios/3852.txt b/src/data/compiled_bios/3852.txt new file mode 100644 index 0000000000..5f34ab756a --- /dev/null +++ b/src/data/compiled_bios/3852.txt @@ -0,0 +1 @@ + pre-tenure post-tenure pre-startup dad, hour 0 Selected recent publications Joseph Devietti, Brandon Lucia, Luis Ceze and Mark Oskin, DMP: Deterministic Shared Memory Multiprocessing , Architectural Support for Programming Languages and Operating Systems (ASPLOS) 2009; IEEE Micro Top Picks 2009 Martha Mercaldi-Kim, John D. Davis, Mark Oskin and Todd Austin, Polymorphic On-Chip Networks , International Symposium on Computer Architecture (ISCA) 2008. Lucas Kreger-Stickles and Mark Oskin, Microcoded Architectures for Ion-Trap Quantum Computers , International Symposium on Computer Architecture (ISCA) 2008. Martha Mercaldi, Mojtaba Mehrara, Mark Oskin and Todd Austin, Architectural Implications of Brick and Mortar Silicon Manufacturing , International Symposium on Computer Architecture (ISCA) 2007. ISCA parody song '07 Martha Mercaldi, Steve Swanson, Andrew Petersen, Andrew Putnam, Andrew Schwerin, Mark Oskin and Susan Eggers, Instruction Scheduling for Tiled Dataflow Architectures ,Architectural Support for Programming Languages and Operating Systems (ASPLOS) 2006. ASPLOS parody song '06 Steve Swanson, Andrew Putnam, Martha Mercaldi, Ken Michelson, Andrew Petersen, Andrew Schwerin, Mark Oskin, and Susan Eggers, Area-Performance Trade-offs in Tiled Dataflow Architectures , International Symposium on Computer Architecture (ISCA) 2006. ISCA parody song '06 Steven Balensiefer, Lucas Kreger-Stickles, Mark Oskin. An Evaluation Framework and Instruction Set Architecture for Ion-Trap based Quantum Micro-architectures , International Symposium on Computer Architecture (ISCA) 2005 Steve Swanson, Ken Michelson, Andrew Schwerin and Mark Oskin. WaveScalar In the 36th Annual International Symposium on Microarchitecture (MICRO-36), December 2003 Mark Oskin, Frederic T. Chong, Isaac Chuang and John Kubiatowicz. Building Quantum Wires: The Long and the Short of it In the 30th Annual International Symposium on Computer Architecture (ISCA), June 2003 Chris J. Thompson, Sangyun Hahn, and Mark Oskin. Using Modern Graphics Architectures for General-Purpose Computing: A Framework and Analysis International Symposium on Microarchitecture (MICRO), Turkey, Nov. 2002 diff --git a/src/data/compiled_bios/3853.txt b/src/data/compiled_bios/3853.txt new file mode 100644 index 0000000000..dc37d6c70f --- /dev/null +++ b/src/data/compiled_bios/3853.txt @@ -0,0 +1 @@ + Shayan Oveis Gharan's homepage Shayan Oveis Gharan Assistant Professor Computer Science and Engineering University of Washington A short bio and my CV I am mainly interested in the design and analysis of algorithms using algebraic techniques. If you are interestd in a postdoc position in our group, please see this page Selected Publications N. Anari, K. Liu, S. Oveis Gharan, C. Vinzant, Log-Concave Polynomials III: Mason's Ultra-Log-Concavity Conjecture for Independent Sets of Matroids , 2018. N. Anari, K. Liu, S. Oveis Gharan, C. Vinzant, Log-Concave Polynomials II: High-Dimensional Walks and an FPRAS for Counting Bases of a Matroid , Submitted, 2018. P. Indyk, S. Mahabadi, S. Oveis Gharan, A. Rezaei, Composable Core-sets for Determinant Maximization Problems via Spectral Spanners , Submitted, 2018. N. Anari, S. Oveis Gharan, C. Vinzant, Log-Concave Polynomials I: Entropy and a Deterministic Approximation Algorithm for Counting Bases of Matroids , FOCS 2018. A. Karlin, S. Oveis Gharan, R. Weber, A Simply Exponential Upper Bound on the Maximum Number of Stable Matchings , STOC 2017. N. Anari, S. Oveis Gharan, Effective-Resistance-Reducing Flows, Spectrally Thin Trees, and Asymmetric TSP . See also our recent extension of the proof of Kadison-Singer conjecture by Marcus, Spielman, and Srivastava . See this note for a somewhat short exposition of the ideas. Also, here are short and long presentations of the ideas of the paper. See here for a nice article by Dana Mackenzie about this article. S. Oveis Gharan, New Rounding Techniques for the Design and Analysis of Approximation Algorithms , PhD thesis, Stanford 2013, ACM Doctoral Dissertation Award Honorable Mention. S. Oveis Gharan, A. Saberi, M. Singh, A Randomized Rounding Approach to the Traveling Salesman Problem. , FOCS 2011, best paper award. J. R. Lee, S. Oveis Gharan, L. Trevisan, Multi-way spectral partitioning and higher-order Cheeger inequalities , STOC 2012, JACM 2014. A. Asadpour, A. Madry, M. Goemans, S. Oveis Gharan, A. Saberi, An O(log n/ log log n)-approximation Algorithm for the Asymmetric Traveling Salesman Problem , SODA 2010, best paper award. See here for a full list of my publications Awards and Honors: 2017 ONR Young Investigator Award 2016 10 scientist to watch by Science News 2016 NSF Career Award 2014 ACM Dissertation Award (honorable mention) 2013 Miller Fellowship 2011 FOCS Best paper award 2011 Stanford graduate fellowship 2010 SODA Best paper award Program Committee: SODA 2015, APPROX 2016 , ESA 2017 , ITCS 2018. Current students: Alireza Rezaei, Robbie Weber Teaching Design and Analysis of Algorithms I (CSE 521), Fall 2018. Introduction to Algorithms, Winter 2018. Counting and Sampling, Fall 2017. Design and Analysis of Algorithms I (CSE 521), Winter 2017. Foundations of Computing I (CSE 311), Fall 2016. Design and Analysis of Algorithms I (CSE 521), Spring 2016. Foundations of Computing I (CSE 311), Fall 2015. Recent Developments in Approximation Algorithms (CSE 599), Spring 2015. Contact Information Room 636, Paul Allen Center for Computer Science & Engineering Box 352350, University of Washington, Seattle, WA 98195-2350. (206) 685-2181 email: my_first_name@cs.washington.edu where my_first_name=shayan diff --git a/src/data/compiled_bios/3854.txt b/src/data/compiled_bios/3854.txt new file mode 100644 index 0000000000..feb2b64c7d --- /dev/null +++ b/src/data/compiled_bios/3854.txt @@ -0,0 +1 @@ + Home Home Research Teaching Publications Curriculum Vitae Outreach Seattle Shapers Schedule Sitemap Print Version Login Last update: January 26. 2017 22:57:42 CMSimple Legal Notices Home Home Shwetak N. Patel is the Washington Research Foundation Entrepreneurship Endowed Professor in Computer Science and Engineering and Electrical Engineering at the University of Washington , where he directs his research group, the Ubicomp Lab . His research interests are in the areas of Human-Computer Interaction, Ubiquitous Computing, Sensor-enabled Embedded Systems, and User Interface Software and Technology. His work includes developing new sensing systems, energy and water sensing, mobile health, and developing new interaction technologies. Dr. Patel was a founder of Zensi, Inc., a residential energy monitoring company, which was acquired by Belkin, Inc in 2010. He is also a co-founder of a low-power wireless sensor platform company called SNUPI Technologies and a consumer home sensing product called WallyHome. WallyHome was acquired by Sears in 2015. He received his Ph.D. in Computer Science from the Georgia Institute of Technology in 2008 and B.S. in Computer Science in 2003. Dr. Patel is a recipient of a MacArthur Fellowship (2011), Microsoft Research Faculty Fellowship (2011), Sloan Fellowship (2012), TR-35 Award (2009), World Economic Forum Young Global Scientist Award (2013), NSF Career Award (2013), and the Presidential PECASE Award (2016). He was also was named top innovator of the year by Seattle Business Magazine, was named Newsmaker of the year by Seattle Business Journal in 2011. His past work was also honored by the New York Times as a top technology of the year in 2005. Dr. Patel is also a member of the World Economic Forum's Global Shapers Community . He was selected as a Seattle Shaper in March 2012. Also, please visit the UW Ubicomp Lab webpage for detailed resarch project descriptions, publications, and latest news. Research and Impact Statement Select News Articles and Awards: PECASE Award ( NSF article ) SNUPI's WallyHome aquired by Sears Crosscut article on our work Launching of WeMo Labs ( second article ) Featured in 'The Human Face of Big Data' Book ( website for book ) 2012 Sloan Fellow 2011 MacArthur Fellow 2011 Microsoft Research Faculty Fellow MIT TR's 35 Top Innovators (TR-35) Award Press coverage on mobile health work Georgia Tech GVU 20th Anniversary Impact Award Research Featured in Cover Story of Wired Magazine India Abroad Face of The Future Award College of Engineering Junior Faculty Innovator Award Featured in Presidents Council PCAST Report Newsmaker of the Year Award Top Innovator Award by Seattle Business Seattle Business Magazine Cover Top 10 Startup Stories of 2010 Commercialization: Zensi acquired by Belkin . Belkin press release here . Xconomy article here . TechFlash article here . Seattle Times article here. CNET article here . Some great press on our revamped Embedded Systems class: Seattle times , Xconomy , Geekwire , Pictures from class , MorePictures from class , Student self reflections See all press Shwetak N. Patel Computer Science & Engineering University of Washington Box 352350 Seattle, WA 98195-2350 TOP > Powered by CMSimple diff --git a/src/data/compiled_bios/3855.txt b/src/data/compiled_bios/3855.txt new file mode 100644 index 0000000000..06effb2787 --- /dev/null +++ b/src/data/compiled_bios/3855.txt @@ -0,0 +1 @@ +Current quarter: CSE 331 CSE 413 Schedule diff --git a/src/data/compiled_bios/3856.txt b/src/data/compiled_bios/3856.txt new file mode 100644 index 0000000000..ecb22360b0 --- /dev/null +++ b/src/data/compiled_bios/3856.txt @@ -0,0 +1 @@ + Zoran Popovi Papers | Projects | Students Zoran Popovi Professor Director, Center for Game Science Founder, Chief Scientist Enlearn University of Washington Dept. Of Computer Science and Engineering Box 352350, [express mail: Allen Center 101] Seattle, WA 98195-2350 Office: 590 Allen Center ( directions ) (206) 543-4226 Please enable JavaScript to view email address. Assistant: Ourania Abell (206) 616-2660 Please enable JavaScript to view email address. latest news 11/29/13 A featured article in Wired Magazine covers Washington State Algebra Challenge. 9/25/13 Foldit receives the Dr. Frank H. Netter Award for Special Contributions to Medical Education. 09/12/13 KUOW airs a 5 minute piece on the Washington State Algebra Challenge 's that showed that over 90% of elementary school students can master key algebra concepts after 1.5 hours. 08/26/13 Front page of Seattle times reports on exciting outcomes of the Washington State Algebra Challenge . 3/28/13 Foldit receives honorable mention for Technical Excellence at the 15th Annual IGF Awards . 3/05/13 Interview for NPR Science segment on scientific-discovery games . 1/31/13 Foldit wins the 2012 Katerva Award. 1/31/13 An awesome animated documentary on Foldit. 1/2/13 The Scientist profiles our games for learning and scientific-discovery. 9/24/12 An interview and presentaion at NBC News Education Nation Summit hosted by Tamron Hall. 6/07/12 Bloomberg Businessweek Innovator of the week. 5/01/12 Seth Cooper wins the 2011 ACM Doctoral Dissertation Award (the best PhD in Computer Science) with his thesis "A Framework for Scientific Discovery through Video Games". [see more news] 3/7/12 The Center for Game Science and Foldit make the list of the World's 50 Most Innovative Companies. 2/3/12 Foldit wins 1st Prize in the 2011 International Science and Engineering Visualization Challenge. 1/22/12 Foldit players invent a brand new protein 18 times more reactive than previous findings. This marks the third Foldit player authored Nature paper . Followup in The Wall Street Journal . 12/05/11 Foldit in Boston Globe , New York Times and The Economist . 12/01/11 Foldit wins TechFlash Newsmaker award in the "Innovation of the Year" award. 11/07/11 UW team wins the International IGem 2011 grand prize . The team's project used Foldit to redesign a key enzyme for Celiac disease . 11/22/11 Foldit players discover state-of-the art algorithms. Published in Proceedings of National Academy of Sciences (PNAS) . 10/28/11 Refraction wins the Prize for the Best Work in the Primary School Category in the 38th NHK Japan Prize, 2011 . 9/18/11 A new Nature article : after 15 years of stumping scientists, Foldit players solve a protein structure in just 3 weeks. 9/1/11 Seattle Business Magazine has an extended article on our Center for Game Science . 7/12/11 Three new papers presented at SIGGRAPH 2011. 6/30/11 Three papers presented at Foundations of Digital Games 2011. 4/05/11 Yun-En Liu receives NSF graduate fellowship. 12/13/10 Two papers on game science accepted to CHI 2011. One of them wins a nomination for the Best Paper Award. 11/01/10 Seattle Magazine 's Most Influential list of 2010 includes me and David Baker for our impact with scientific-discovery games. 09/16/10 NPR's All Things Considered story on Foldit and the power of game-based democratized science. 08/09/10 New York Times article covers our Foldit Nature paper and our future plans for scientific discovery games. 08/04/10 Nature publishes paper on Foldit produced proteins in August 5 2010 issue. The first nature paper where results are produced by game play, and most certainly the Nature's first paper with over 200,000 authors! 07/28/10 Refraction wins a Grand Prize in the Disney Learning Challenge . Refraction is a game prototype that discovers optimal pathways for learning fractions. 06/10/10 Six games produced in the 10-week Games Capstone class make it big in the wild: two independent reviews ( 1 , 2 ), second best game of the week, and third best game of the month at Kongregate.com , over $3,000 in awards and earnings in first two weeks, and more than 10 web distribution contracts. 03/29/10 Six papers accepted over the weekend: three conditionally accepted to ACM TOG (SIGGRAPH), and three accepted to Foundations of Digital Games. 02/16/10 Karen Liu (PhD, 2006) wins Alfred P. Sloan Fellowship. 02/23/10 New York Times writes a science article about our latest serious game PhotoCity that aims to eventually reconstruct a 3D replica of the entire world. 01/07/10 Brett Allen (PhD, 2005) receives a Technical Achievement Oscar for development of iMocap. 9/20/09 Adrien Treuille (PhD, 2008) wins the TR-35 award , two years after Karen Liu (PhD, 2006) wins the same award . 4/20/09 Foldit feature article in WIRED magazine. 4/6/09 Two papers on character dynamics and control accepted to SIGGRAPH. 3/21/09 Foldit story on PRI. 7/22/08 New York Times article talks about Foldit . 5/8/08 Foldit goes open beta, with an article in The Economist , and a press release . 3/13/08 DraftTrack , developed from our realtime fluids paper , nominated for Sports Emmy (Technical Achievement). 2/08/08 A TV version of the dance symmetry paper in Nature, airs on Valentine's day again. [see less news] Zoran joined the CSE faculty in the summer of 1999. He received a Sc.B. with Honors in Computer Science from Brown University in 1991, M.S. in Computer Science in 1993 and a Ph.D. in Computer Science in 1999 from Carnegie Mellon University . His Ph.D. dissertation research focused on the automatic synthesis and transformation of realistic character animation. His thesis also involved numerous performances of embarrassing acts . He has also held research positions at Sun Microsystems and Justsystem Pittsburgh Research Center and University of California at Berkeley . Zoran's research interests lie primarily in computer graphics, especially in character animation, motion editing, physically based modeling and modeling/simulation of natural phenomena. He is also interested in nonlinearly constrained optimization, motion planning and biomechanics. Zoran enjoys spending his free time outdoors . He is also an avid tanguero and a lindy hopper . You will find a more official short bio here . Awards ACM SIGGRAPH Significant New Researcher Award , 2004 Alfred P. Sloan Fellowship , 2003-2004 NSF CAREER Award , 2001-2006 Schlumberger Foundation Fellowship, 1997-1999 Selected Publications "Power to the People: Addressing Big Data Challenges in Neuroscience by Creating a New Cadre of Citizen Neuroscientists" with Jane Roskamps in Neuron 92 (3) 2016. [ pdf ] "Determining crystal structures through crowdsourcing and coursework" with S Horowitz, B Koepnick, R Martin, A Tymieniecki, A A Winburn, S Cooper, J Flatten, D Rogawski, N Koropatkin, T Hailu, N Jain, P Koldewey, L Ahlstrom, M Chapman, A Sikkema, M Skiba, F Maloney, F Beinlich, Foldit Players, D Baker, F Khatib, J Bardwell in Nature Communications 7, 2016. [ article ] "Empowering Children To Rapidly Author Games and Animations Without Writing Code" with R Banerjee, J Yip, KJ Lee in Proceedings of the The 15th International Conference on Interaction Design and Children 2015. [ article ] "A Framework for Parameterized Design of Rule Systems Applied to Algebra" with Eric Butler, Emina Torlak in International Conference on Intelligent Tutoring Systems (320-326) 2016. [ pdf ] "Proactive Sensing for Improving Hand Pose Estimation" with Dun-Yu Hsiao, Min Sun, Christy Ballweber, Seth Cooper in Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (2348-2352) 2016. [ pdf ] "Brain Points: A Deeper Look at a Growth Mindset Incentive Structure for an Educational Game" with Eleanor O'Rourke, Erin Peach, Carol S Dweck in Proceedings of the Third (2016) ACM Conference on Learning@ Scale (41-50) 2016. [ pdf ] "Offline evaluation of online reinforcement learning algorithms" with Travis Mandel, Y Liu, Emma Brunskill in Proceedings of the Thirtieth Conference on Artificial Intelligence 2016/2/21. [ pdf ] "Crowdsourcing Accurate and Creative Word Problems and Hints" with Yvonne Chen, Travis Mandel, Yun-En Liu in AAAI Conference on Human Computation and Crowdsourcing (HCOMP) 2016. [ pdf ] "Approaches for teaching computational thinking strategies in an educational game" with Aaron Bauer, Eric Butler in Blocks and Beyond Workshop (Blocks and Beyond), (121-123) 2015. [ pdf ] "Interactive control of diverse complex characters with neural networks" with Igor Mordatch, Kendall Lowrey, Galen Andrew, Emanuel V Todorov in Advances in Neural Information Processing Systems (NIPS) (3132-40) 2015. [ pdf ] "Personalized Mathematical Word Problem Generation" with Oleksandr Polozov, Eleanor ORourke, Adam Smith, Luke Zettlemoyer, Sumit Gulwani, in IJCAI 2015/6/22. [ pdf ] "Large-Scale Educational Campaigns" with Yun-En Liu, Christy Ballweber, Eleanor ORourke, Eric Butler, Phonraphee Thummaphan, to appear in ACM Transactions on Computer-Human Interactions (TOCHI), 2015. [ pdf ] "Automatic Game Progression Design through Analysis of Solution Features" with Eric Butler, Erik Andersen, Adam M. Smith, Sumit Gulwani, to appear in Proceedings of Conference on Human factors in Computing Systems (CHI 2015), 2015. [ pdf ] "A Framework for Automatically Generating Interactive Instructional Scaffolding" with Eleanor ORourke, Erik Andersen, Sumit Gulwani to appear in Proceedings of Conference on Human factors in Computing Systems (CHI 2015), 2015. [ pdf ] "The Queue Method: Handling Delay, Heuristics, Prior Data, and Evaluation in Bandits" with Travis Mandel, Yun-En Liu, Emma Brunskill, in AAAI Conference on Artificial Intelligence (AAAI) 2015. [ pdf ] "WeFold: a coopetition for protein structure prediction" with George A. Khoury et al. and Foldit Players Proteins: Structure, Function, and Bioinformatics (2014). [ pdf ] "Trading Off Scientific Knowledge and User Learning with Multi-Armed Bandits" with Yun-En Liu, Travis Mandel, Emma Brunskill in Educational Data Mining (EDM) 2014 [ pdf ] "Learning Individual Behavior in an Educational Game: A Data-Driven Approach" with Seong-Jae Lee, Yun-En Liu in Educational Data Mining (EDM) 2014 [ pdf ] "Generalizing Locomotion Style to New Animals with Inverse Optimal Regression" with Kevin Wampler, Jovan Popovi in Transactions on Graphics (SIGGRAPH) 2014 [ pdf ] [ project ] "Offline Policy Evaluation Across Representations with Applications to Educational Games" with Travis Mandel, Yun-En Liu, Sergey Levine, Emma Brunskill in Autonomous Agents and MultiAgent Systems (AAMAS) 2014 [ pdf ] "Hint Systems May Negatively Impact Performance in Educational Games" with Nell ORourke, Christy Ballwebber in Learning at Scale 2014 (LAS 2014) [ pdf ] "Towards Automatic Experimentation of Educational Knowledge" with Yun-En Liu, Travis Mandell, Emma Brunskill in CHI 2014 [ pdf ] "Brain Points: A Growth Mindset Incentive Structure Boosts Persistence in an Educational Game" with Nell ORourke, Kyla Haimovitz, Carol Dweck in CHI 2014 [ pdf ] "A Mixed-Initiative Tool for Designing Level Progressions in Games" with Eric Butler, Adam M. Smith, Yun-En Liu in UIST 2013. [ pdf ] [ video ] "Predicting Player Moves in an Educational Game: A Hybrid Approach" with Yun-En Liu, Travis Mandel, Eric Butler, Erik Andersen, Eleanor ORourke and Emma Brunskill in Educational Data Mining (EDM) 2013 [ pdf ] best paper nomination "Automatic Redesign of Local Playspace Properties" with Aaron Bauer and Seth Cooper in Proceedings of the Conference on the Foundations of Digital Games (FDG 2013) [ pdf ] "Quantifying over Play: Constraining Undesirable Solutions in Puzzle Design" with Adam M. Smith and Eric Butler in Foundations of Digital Games 2013 [ pdf ] "The Effects of Age on Player Behavior in Educational Games" with ORourke, E., Butler, E., Liu, Y. and Ballwebber, C. in Foundations of Digital Games 2013 [ pdf ] "A Trace-based Framework for Analyzing and Synthesizing Educational Progressions" with Erik Andersen and Sumit Gulwani in Computer Human Interaction (CHI) 2013 [ pdf ] "Animal Locomotion Controllers from Scratch" with Kevin Wampler and Jovan Popovi in Computer Graphics Forum 2013 [ pdf ] "RRT-based game level analysis, visualization, and visual refinement" with Aaron Bauer in AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE-12) [ pdf ] "Verification games: making verification fun" with Werner Dietl, Stephanie Dietzel, Michael D. Ernst, Nathaniel Mote, Brian Walker, Seth Cooper, Timothy Pavlik, in Proceedings of the 14th Workshop on Formal Techniques for Java-like Programs (42-9) 2012. [ pdf ] "Evaluating Competitive Game Balance with Restricted Play" with Alexander Jaffe, Alex Miller, Erik Andersen, Yun-En Liu and Anna Karlin in AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment (AIIDE-12) [ pdf ] "A Case Study of Expressively Constrainable Level Design Automation Tools for a Puzzle Game" with Adam M. Smith, Erik Andersen, Michael Mateas in Foundations of Digital Games 2012 [ pdf ] "Contact-Invariant Optimization for Hand Manipulation" with Igor Mordatch and Emanuel Todorov in Eurographics/ACM Symposium on Computer Animation (SCA 2012) [ pdf ] "Discovery of Complex Behaviors through Contact-Invariant Optimization" with Igor Mordatch and Emanuel Todorov in ACM Transactions on Graphics (ACM SIGGRAPH 2012) [ pdf ] "Continuous Character Control with Low-Dimensional Embeddings" with Sergey Levine, Jack M. Wang, Alexis Haraux, Vladlen Koltun in ACM Transactions on Graphics (ACM SIGGRAPH 2012) [ pdf ] [ project ] "The Impact of Tutorials on Games of Varying Complexity" with Erik Andersen, Eleanor ORourke, Yun-En Liu, Richard Snider, Jeff Lowdermilk, David Truong, Seth Cooper in CHI 2012 [project] [pdf] [related papers] "Increased Diels-Alderase activity through backbone remodeling guided by Foldit players" with Christopher B Eiben, Justin B Siegel, Jacob B Bale, Seth Cooper, Firas Khatib, Betty W Shen, Foldit Players, Barry L Stoddard and David Baker in Nature Biotechnology (2012) [project] [pdf] "Nonlinear Inverse Reinforcement Learning with Gaussian Processes" with Sergey Levine, Vladlen Koltun in NIPS 2011 [ pdf ] [ project ] "Space-Time Planning with Parameterized Locomotion Controllers" with Sergey Levine, Yongjoon Lee, Vladlen Koltun in ACM Transactions on Graphics 30 (3) [ pdf ] [ video ] "Composite Control of Physically Simulated Characters" , with Uldarico Muico, and Jovan Popovi, in ACM Transactions on Graphics Vol. 30 Num. 3 (SIGGRAPH 2011). [ pdf ] [ project ] "Algorithm discovery by protein folding game players" with Firas Khatib, Seth Cooper, Michael D. Tyka, Kefan Xu, Ilya Makedon, David Baker, and Foldit Players in Proceedings of the National Academy of Sciences of the United States of America vol. 108 no. 47 18949-18953 (2011) [ pdf ] [ project ] "High-resolution structure of a retroviral protease folded as a monomer" with Miroslaw Gilski, Maciej Kazmierczyk, Szymon Krzywda, Helena Zbransk, Seth Cooper, Firas Khatib, Frank DiMaio, James Thompson, David Baker, Iva Pichov, and Mariusz Jaskolskia in Acta Crystallographica D67, 907-914 [ pdf ] [ project ] "Crystal structure of a monomeric retroviral protease solved by protein folding game players" with Firas Khatib, Frank DiMaio, Foldit Contenders Group, Foldit Void Crushers Group, Seth Cooper, Maciej Kazmierczyk, Miroslaw Gilski, Szymon Krzywda, Helena Zabranska, Iva Pichova, James Thompson, Mariusz Jaskolski, David Baker in Nature Structural and Molecular Biology 18, 1175-1177 (2011) [ pdf ] [ project ] "On the Harmfulness of Secondary Game Objectives" with Erik Andersen, Yun-En Liu, Rich Snider, Roy Szeto, Seth Cooper in Foundations of Digital Games 2011 [ pdf ] "Analysis of Social Gameplay Macros in the Foldit Cookbook" with Seth Cooper, Firas Khatib, Ilya Makedon, Hao Lu, Janos Barbero, David Baker, James Fogarty, Foldit Players in Foundations of Digital Games 2011 [ pdf ] [ project ] "Feature-Based Projections for Effective Playtrace Analysis" with Yun-En Liu, Erik Andersen, Rich Snider, Seth Cooper in Foundations of Digital Games 2011 [ pdf ] "Placing a Value on Aesthetics in Online Casual Games" with Erik Andersen, Yun-En Liu, Rich Snider, Roy Szeto in CHI 2011 [ pdf ] Best Paper Nomination "PhotoCity: training experts at large-scale image acquisition through a competitive game" with Kathleen Tuite, Noah Snavely, Dun-yu Hsiao, Nadine Tabing in CHI 2011 [ pdf ] "Feature Construction for Inverse Reinforcement Learning" , with Sergey Levine, Vladlen Koltun in NIPS 2010 [ pdf ] "Motion Fields for Interactive Character Locomotion" , with Yongjoon Lee, Kevin Wampler, Gilbert Bernstein, Jovan Popovi in ACM Transactions on Graphics Vol. 29 Num. 5 (SIGGRAPH Asia 2010) [ pdf ] [ project ] "Predicting protein structures with a multiplayer online game" , with Seth Cooper, Firas Khatib, Adrien Treuille, Janos Barbero, Jeehyung Lee, Michael Beenen, Andrew Leaver-Fay, David Baker and Foldit players, in Nature 446 p. 756-760 (05 August 2010). [ pdf ] [ project ] "Terrain-Adaptive Interactive Bipedal Locomotion Control" , with Jia-Chi Wu in ACM Transactions on Graphics Vol. 29 Num. 3 (SIGGRAPH 2010) [ pdf ] [ project ] "Learning Behavior Styles with Inverse Reinforcement Learning" , with Seong Jae Lee in ACM Transactions on Graphics Vol. 29 Num. 3 (SIGGRAPH 2010) [ pdf ] [ project ] "Character Animation in Two-Player Adversarial Games" , with Kevin Wampler, Erik Andersen, Evan Herbst, Yongjoon Lee, in ACM Transactions on Graphics Vol. 29 Num. 5 [ pdf ] [ project ] "The Challenge of Designing Scientific Discovery Games" , with Seth Cooper, Adrien Treuille, Janos Barbero, Andrew Leaver-Fay, Kathleen Tuite, Firas Khatib, Alex Cho Snyder, Michael Beenen, David Salesin, David Baker, in International Conference on the Foundations of Digital Games, 2010 [ pdf ] [ project ] "Reconstructing the World in 3D: Bringing Games with a Purpose Outdoors" , with Kathleen Tuite, Noah Snavely, Dun-Yu Hsiao, Adam M. Smith, in International Conference on the Foundations of Digital Games, 2010 [ pdf ] [ project ] "Gameplay Analysis through State Projection" , with Erik Andersen, Yun-En Liu, Ethan Apter, Franois Boucher-Genesse, in International Conference on the Foundations of Digital Games, 2010 [ pdf ] [ project ] "Compact Character Controllers" , with Yongjoon Lee and Seong Jae Lee, in ACM Transactions on Graphics Vol. 28 Num. 5 (SIGGRAPH Asia 2009). [ pdf ] [ project ] "Optimal Gait and Form for Animal Locomotion" , with Kevin Wampler, in ACM Transactions on Graphics Vol. 28 Num. 3 (SIGGRAPH 2009). [ pdf ] [ project ] "Contact-aware Nonlinear Control of Dynamic Characters" , with Uldarico Muico, Yongjoon Lee, Jovan Popovi, in ACM Transactions on Graphics Vol. 28 Num. 3 (SIGGRAPH 2009). [ pdf ] [ project ] "Near-optimal Character Animation with Continuous User Control," with Adrien Treuille and Yongjoon Lee, in ACM Transactions on Graphics Vol. 26 Num. 3 (SIGGRAPH 2007). [ pdf ] [ project ] "Active Learning for Real-Time Motion Controllers," with Seth Cooper and Aaron Hertzmann, in ACM Transactions on Graphics Vol. 26 Num. 3 (SIGGRAPH 2007). [ pdf ] [ project ] "Model Reduction for Real-time Fluids," with Adrien Treuille and Andrew Lewis, in ACM Transactions on Graphics Vol. 25 Num. 3 (SIGGRAPH 2006). [ pdf ] [ project ] "Continuum Crowds" with Adrien Treuille and Seth Cooper, in ACM Transactions on Graphics Vol. 25 Num. 3 (SIGGRAPH 2006). [ pdf ] [ project ] "Dance reveals symmetry especially in young men" with Brown, W.M., Cronk, L., Grochow, K., Jacobson, A., Liu, K., Trivers, R. in Nature, Vol. 438 Num. 7071 . [ project [ pdf ] [ paper ] [ front cover ] [ nature podcast ] "Composition of Complex Optimal Multi-Character Motions" with C. Karen Liu, Aaron Hertzmann in ACM SIGGRAPH/Eurographics Symposium on Computer Animation 2006. [ pdf ] [ project ] "Learning a correlated model of identity and pose-dependent body-shape variation for real-time synthesis" with Brett Allen, Brian Curless, Aaron Hertzmann, in ACM SIGGRAPH/Eurographics Symposium on Computer Animation 2006. [ pdf ] [ project ] "Learning Physics-based Motion Style with Inverse Nonlinear Optimization" with C. Karen Liu and Aaron Hertzmann, in ACM Transactions on Graphics Vol. 24 Num. 3 (SIGGRAPH 2005). [ pdf ] [ project ] "Physically Based Rigging for Deformable Characters" with Steve Capell, Matthew Burkhart, Brian Curless, Tom Duchamp, in Proceedings of the 2005 ACM SIGGRAPH / Eurographics Symposium on Computer Animation. [ pdf ] [ project ] "Style-Based Inverse Kinematics" with Keith Grochow, Steve L. Martin and Aaron Hertzmann in ACM Transactions on Graphics Vol. 23 Num. 3 (SIGGRAPH 2004). [ pdf ] [ project ] "Fluid Control using the Adjoint Method" with Adrien Treuille, Antoine McNamara, Jos Stam in ACM Transactions on Graphics Vol. 23 Num. 3 (SIGGRAPH 2004). [ pdf ] [ project ] "Momentum-based Parameterization of Dynamic Character Motion" with Yeuhi Abe, C. Karen Liu, in ACM SIGGRAPH / Eurographics Symposium on Computer Animation 2004. [ pdf ] [ project ] "Keyframe Control of Smoke Simulations" with Adrien Treuille, Antoine McNamara, Jos Stam in ACM Transactions on Graphics Vol. 22 Num. 3 (SIGGRAPH 2003). [ pdf ] [ project ] "Realistic Modeling of Bird Flight Animations" with Jia-Chi Wu in ACM Transactions on Graphics Vol. 22 Num. 3 (SIGGRAPH 2003). [ pdf ] [ project ] "Layered Acting for Character Animation" with Mira Dontcheva, Gary Yngve in ACM Transactions on Graphics Vol. 22 Num. 3 (SIGGRAPH 2003). [ pdf ] [ project ] "The Space of Human Body Shapes: reconstruction and parameterization from range scans" with Brett Allen, Brian Curless in ACM Transactions on Graphics Vol. 22 Num. 3 (SIGGRAPH 2003). [ pdf ] [ project ] "Estimating Cloth Simulation Parameters from Video" with Kiran Bhat, Christopher Twigg, Jessica Hodgins, Pradeep Khosla, Steven Seitz in ACM SIGGRAPH / Eurographics Symposium on Computer Animation 2003 . [ pdf ] [ project ] "A Sketching Interface for Articulated Figure Animation" with James Davis, Maneesh Agrawala, Erika Chuang, David Salesin in ACM SIGGRAPH / Eurographics Symposium on Computer Animation 2003 . [ pdf ] [ project ] "Synthesis of Complex Dynamic Character Motion from Simple Animations" with C. Karen Liu in ACM Transactions on Graphics Vol. 21 Num. 3 (SIGGRAPH 2002). [ pdf ] [ project ] "Articulated Body Deformation from Range Scan Data" with Brett Allen, Brian Curless in ACM Transactions on Graphics Vol. 21 Num. 3 (SIGGRAPH 2002). [ pdf ] [ project ] "Interactive Skeleton-Driven Dynamic Deformations" with Steve Capell, Seth Green, Brian Curless, Tom Duchamp in ACM Transactions on Graphics Vol. 21 Num. 3 (SIGGRAPH 2002). [ pdf ] [ project ] "A Multiresolution Framework for Dynamic Deformations" with Steve Capell, Seth Green, Brian Curless, Tom Duchamp in ACM SIGGRAPH Symposium on Computer Animation [ project ] "Interactive Manipulation of Rigid Body Simulations" with Jovan Popovi, Steven Seitz, Michael Erdmann, Andy Witkin in Computer Graphics (SIGGRAPH) 2000 . [ pdf ] "Physically Based Motion Transformation" with Andy Witkin in Computer Graphics (SIGGRAPH) 1999. [ pdf ] [ project ] "Motion Warping" with Andy Witkin in Computer Graphics (SIGGRAPH) 1995. [ pdf ] [ project ] Research Projects and Interests Large Scale Educational Campaigns. Research in Serious Games. We are developing new genre of science-centric serious games, including games that lead to scientific discoveries in biochemistry with implications towards curing diseases, discovering vaccines, and developing novel biofuels. Reinforcement Learning for Optimal Learning Pathways. Methods for Automatic Synthesis of Instructional Content and Leraning Progressions. Past Research Projects and Interests Synthesis of Natural Control Mechanisms. We are investigating automatic methods for determining the fundamental control mechanisms that give rise to a wide variety of animal locomotion. We are investigating human locomotion control as well as natural controllers for quadrupeds and birds in flight. Dynamics and Control Reduction. We are investigating control and model reduction techniques that will enable us to automatically reduce the complexity of dynamic simulators. The same techniques should also allow for custom-designed dynamics approximations tailored for specific dynamic control problems. Reusable Motion Libraries. Our goal is to give non-skilled computer users the ability to use computer animation as an expressive medium. The fundamental paradigm behind our approach involves the creation of motion libraries which can be easily mapped onto different characters, or modified to fit the needs of a specific animation. We model the motion as an optimal dynamic process which allows us to preserve dynamic properties of the animation during editing. This formulation also enables us to intuitively edit high-level motion concepts such as the time and placement of footprints, length and mass of various extremities or joint arrangement. Control of Complex Dynamics. We are developing methods to control complex dynamic behavior. We are working on control techniques for natural phenomena such as smoke, water and cloth, as well as for complex actuated dynamics of animals such as humans, birds, and various quadrupeds. High-fidelity Digital Actors. This research aims at creating synthetic humans that look and move realistically. We are developing data driven methods to capture and reuse high-fidelity detailed dynamic motion of human skin. Modeling Dynamic Deformation of Flexible Objects. We are developing models for interactive manipulation of flexible articulated body dynamics. The emphasis of this projects are on realtime performance, dynamic character interaction, and effective rigging of character dynamics. Novel Interfaces for Computer Animation. With the emergence of real-time motion capture systems we can use our whole body as a natural interface for describing motion. We are also exploring traditional drawings as an intuitive interface for rapid prototyping of computer animations. Affiliations Center for Game Science Intel Science and Technology Center for Visual Computing Animation Research Labs Grail Courses Undergraduate computer graphics course CSE457 Fall 99 , Spring 01 , Fall 01 , Fall 02 , Spring 03 , Fall 07 , Spring 08 Graduate computer graphics course CSE 557 Winter 00 , Winter 01 , Winter 07 Convex Optimization and its Applications CSE558 Spring 07 Special Topics in Computer Graphics CSEP557 Fall 03 , Fall 06 Data-driven and Physics-based Animation CSE558 Spring 02 Physics Based Animation CSE558 Spring 00 Current Students PhD Rahul Banerjee Aaron Bauer Eric Butler Zuoming Shi Kelvin Luu (coadvised with Noah Smith) Travis Mandel (coadvised with Emma Brunskill at CMU) Uldarico Muico Alex Polozov (coadvised with Gulwani at MSR) Past Students Graduate Yun-En Liu (Principal Scientist, Enlearn) Nell ORourke (Northwestern faculty) Igor Mordatch (CMU faculty) Erik Andersen (Cornell faculty) Sergey Levine (UC Berkeley faculty) Alex Jaffe, 2013 PhD (Spry Fox) Kevin Wampler, 2012 PhD (Adobe Research) Seth Cooper, 2011 PhD (Northeastern faculty) winner ACM Dissertation Award Yongjoon Lee, 2010 PhD (Bungie) Seong Jae Lee, 2010 M.S. (Google) Jia-Chi Wu, 2010 PhD (Apple) Adrien Treuille 2008 PhD (CMU faculty) Brett Allen, 2005 PhD (Google) C. Karen Liu, 2005 PhD (Georgia Tech faculty) Antoine McNamara, 2004 M.S. (The Defender Assn) Steve Capell, 2004 PhD (Havok) Gary Yngve, 2003, M.S. (Facebook) Mira Dontcheva, 2003 M.S. (Adobe Research) Charles Gordon, 2001 M.S. (Amazon) Postdocs Adam Smith 2012-14 (UCSC faculty) Sameer Agarwal (joint with Curless, Seitz, Google) 2007-09 Undergraduate Mai Dang Christian Lee Emma Lynch Stephen Sievers Roy Szeto Ethan Apter, 2010 Justin Irwen, 2009 Janos Barbero, 2009 Michael Beenen, 2009 (Amazon.com) Josh Snyder Alex Cho Snyder Daniel Suskin Andrew Yurowchak Andrew Lewis, 2006 (Google) Matthew Burkhart, 2005 (Google) Ethel Evans, 2004 Yeuhi Abe, 2004 (PhD student, MIT) Steve L. Martin, 2003 (PhD student, UC Berkeley) Chris Fitzner, 2003 Matthew Chasan, 2003 Eugene Hsu, 2002 (PhD student, MIT) Chris Twigg, 2002 (PhD student, CMU) Dutch Meyer, 2002 Adam Kirk, 2001 (PhD student, UC Berkeley) Kevin Audleman, 2000 (PhD student, Brown) Personal How to typeset Popovi How to pronounce Popovi Some photos from my outdoor adventures. Humorous images from the motion capture session. When in doubt, swing out . copyright 2010-2013 Zoran Popovi | design modified from dcarter diff --git a/src/data/compiled_bios/3857.txt b/src/data/compiled_bios/3857.txt new file mode 100644 index 0000000000..9aceb67ad1 --- /dev/null +++ b/src/data/compiled_bios/3857.txt @@ -0,0 +1 @@ +Assistant Professor University of Washington I am interested in theoretical computer science and am part of the theory group . For a taste, sit in on one of our seminars . I was a researcher at Princeton University , a member of the Institute for Advanced Study , and a graduate student at the University of Texas at Austin under David Zuckerman . CV: ( pdf ) Research Statement: ( pdf ) Main Webpage: http://homes.cs.washington.edu/~anuprao/ diff --git a/src/data/compiled_bios/3858.txt b/src/data/compiled_bios/3858.txt new file mode 100644 index 0000000000..1575725459 --- /dev/null +++ b/src/data/compiled_bios/3858.txt @@ -0,0 +1 @@ +Rajesh Rao's research spans the areas of computational neuroscience, brain-computer interfaces, and robotics. His current research focuses on how the brain makes decisions based on noisy sensory information and how brain signals may be used for controlling computer interfaces and robots. Rajesh received his Ph.D. from the University of Rochester and was a Sloan postdoctoral fellow at the Salk Institute for Biological Studies in San Diego before arriving at the UW. He is the recipient of an NSF CAREER award, an ONR Young Investigator Award, a Sloan Faculty Fellowship, and a David and Lucile Packard Fellowship for Science and Engineering. He is the author of the new textbook Brain-Computer Interfacing: An Introduction and has co-edited two books, Probabilistic Models of the Brain and Bayesian Brain . He directs the Neural Systems Laboratory at UW CSE. With Adrienne Fairhall, he recently offered the first MOOC on Computational Neuroscience . His not-so-copious spare time is devoted to Indian art history and to understanding the ancient undeciphered script of the Indus civilization, a topic on which he has given a TED talk . diff --git a/src/data/compiled_bios/3859.txt b/src/data/compiled_bios/3859.txt new file mode 100644 index 0000000000..dd4cca681e --- /dev/null +++ b/src/data/compiled_bios/3859.txt @@ -0,0 +1 @@ +I am a Principal Lecturer. I joined the faculty in the summer of 2004. My first assignment was to restructure the introductory courses (cse142 and cse143). Now that I have finished that, I am trying to figure out what to do next. This quarter I am teaching cse143 . I have set up a resource page for my talk at SIGCSE 2008 on "The Mystery of b := (b = false)." I have an older resource page for my talk at SIGCSE 2006 on "Back to Basics in CS1 and CS2." I have published a cs1 textbook with Marty Stepp called Building Java Programs . diff --git a/src/data/compiled_bios/386.txt b/src/data/compiled_bios/386.txt new file mode 100644 index 0000000000..996c655005 --- /dev/null +++ b/src/data/compiled_bios/386.txt @@ -0,0 +1 @@ +Name: Perkins, Stephen:: Position: Senior Lecturer:: Degrees: Ph.D., Computer Science, Michigan State University; M.S., Computer Science, Texas A&M University; B.S., Computer Science, Texas A&M University; Research Interests: Internet of Things (IoT) Architecture, Infrastructure, and Development; C, C++, Java, Lisp; Network Architecture and Protocols; High-Availability Infrastructure Design and Deployment; Representative Publications: Twoway broadband CATVHFC networks: stateoftheart and future trends S. Perkins and A. Gatherer, Computer Networks: The International Journal of Computer and Telecommunications Networking, Elsevier Science, B.V., vol. 31, 1999, pp 313326.; Characteristics of Low-Bandwidth Conversations S.J. Perkins and M.W. Mutka, Proceedings of the IEEE International Conference on Communications, vol. 3, Dallas, Texas, June, 1996, pp. 1591-1595.; Low-Bandwidth Access: An Evaluation of Application Level Protocol Compressibility S.J. Perkins and M.W. Mutka, Proceedings of the International Conference on Telecommunication Systems, Nashville, Tennessee, March, 1996, pp. 97-108.; A New Data Model for Biological Classification S. Jung, S. Perkins, Y. Zhong, S. Pramanik, J. Beaman, , CABIOS, Vol 11, No 3, 1995, pp. 237-246.; A Time-Step Simulation Model for a Life Support System M.E. Makela, S.J. Perkins, H. Presig, F.E. Little, Progress Report | Regenerative Life Support Systems, NASA Space Research Center SRC-4-5873-2, March, 1988, pp. 49-72.; Patents: Processes, articles, and packets for network path diversity in media over packet applications (USPTO # 6,496,477); Integrated circuits, systems, apparatus, packets and processes utilizing path diversity for media over packet applications (USPTO # 6,930,983); Sending real-time and dependent information over separate network paths (USPTO # 7,693,062); Packet Circuitry Addressing Independent and Dependent Information to Different Proxies (USPTO # 7,961,758); Media packet networking appliance sending diversity packets to second proxy (USPTO # 8,396,058); IC generating packets containing destination, first, and second proxy addresses (USPTO # 8,824,460); diff --git a/src/data/compiled_bios/3860.txt b/src/data/compiled_bios/3860.txt new file mode 100644 index 0000000000..7b0768849c --- /dev/null +++ b/src/data/compiled_bios/3860.txt @@ -0,0 +1 @@ +Katharina Reinecke is an assistant professor at University of Washington Computer Science & Engineering focused on human-computer interaction, intelligent user interfaces and cross-cultural usability of technology. She earned her Ph.D. in computer science from the University of Zurich in Switzerland and her diploma (comparable to M.Sc.) in computer science from the University of Koblenz in Germany. Katharina researches how people of different cultural backgrounds interact with computers to develop technology that is culturally intelligent, automatically adapting its look and feel to peoples varying preferences and abilities to improve user satisfaction and performance. Based on her research, Katharina developed a culturally adaptive web application that composes personalized user interfaces based on a person's current and former countries of residence. To collect the large amounts of data needed to inform the design of these adaptive user interfaces, Katharina co-founded LabintheWild , a virtual lab launched in 2012 that has obtained data from nearly 3 million users from over 200 countries through online behavioral studies. Katharina previously was an assistant professor in the School of Information and Computer Science at the University of Michigan. Before that, she was a postdoctoral fellow in the Intelligent and Interactive Systems Group in Harvard Universitys School of Engineering & Applied Sciences. Katharina has earned numerous awards for her work, including Best Paper Award and Best Paper Honorable Mention at CHI 2013 and CSCW 2015, a Best European Paper of the Year Award for her MIS Quarterly publication on culturally adaptive user interfaces, and a Best Paper Award at UMAP 2009. diff --git a/src/data/compiled_bios/3861.txt b/src/data/compiled_bios/3861.txt new file mode 100644 index 0000000000..69c461e7c3 --- /dev/null +++ b/src/data/compiled_bios/3861.txt @@ -0,0 +1 @@ + Franziska Roesner - University of Washington Franziska Roesner Assistant Professor Computer Science & Engineering University of Washington Paul G. Allen Center, Box 352350 Seattle, WA 98195-2350 franzi@cs.washington.edu Security and Privacy Research Lab About Students Teaching Research Personal I am an assistant professor in the Paul G. Allen School of Computer Science and Engineering and an adjunct assistant professor in the Electrical Engineering Department and the Human Centered Design and Engineering Department at the University of Washington . I am also affiliated with the UW Tech Policy Lab . My research focuses on computer security and privacy . My interests are broad within that domain, but I am particularly excited about designing and building systems that address security and privacy challenges faced by end users of existing and emerging technologies. I am the program co-chair for USENIX Enigma 2019 (and previously Enigma 2018 ), the now fourth iteration of a new security conference that focuses on high-quality talks about big ideas. Please consider submitting! I recently received an NSF CAREER Award (2017), an Emerging Leader Alumni Award from the UT Austin College of Natural Sciences (2017), an MIT Technology Review Innovators Under 35 Award (2017), and a Google Security and Privacy Research Award (2017). Some directions I'm particularly interested in at the moment (but not an exhaustive list!) include: Security and privacy for emerging technologies, such as augmented reality (AR) Understanding and designing for the security needs of end users, such as journalists Studying privacy and security in the wild, such as by measuring third-party web tracking Last updated February 2019. diff --git a/src/data/compiled_bios/3862.txt b/src/data/compiled_bios/3862.txt new file mode 100644 index 0000000000..2d232f04d4 --- /dev/null +++ b/src/data/compiled_bios/3862.txt @@ -0,0 +1 @@ +Thomas Rothvoss joined UW CSE in January 2015 as a joint faculty appointment with the UW Department of Mathematics. He arrived at UW Math in 2014 following a postdoc at MIT. Thomas is a 2015 Sloan Research Fellow and earned Best Paper awards at STOC 2014, SODA 2014, and STOC 2010. His research interests include discrete optimization, linear/integer programming and theoretical computer science. Thomas received his Ph.D. from the cole Polytechnique Fdrale de Lausanne following his studies at the Universitt Paderborn and the Technische Universitt Dortmund. To learn more, visit his website . diff --git a/src/data/compiled_bios/3863.txt b/src/data/compiled_bios/3863.txt new file mode 100644 index 0000000000..5df24e32df --- /dev/null +++ b/src/data/compiled_bios/3863.txt @@ -0,0 +1 @@ +Professor, Computer Science & Engineering Adjunct Professor, Genome Sciences Joint Member, Fred Hutchinson Cancer Research Center Larry Ruzzo , Professor, received a B.S. (in Mathematics) from the California Institute of Technology in 1968, his Ph.D. (Computer Science) from the University of California at Berkeley in 1978, and has been with the University of Washington since 1977. Currently, his principal research project involves the construction and programming of a vaguely parallel computer, consisting of 32 steam-powered Turing machines installed in the basement of Sieg Hall. Of particular interest is the use of triple-expansion bypass valves, coupled to individual governors on each engine, to achieve write-synchronization of the machines. Graduate students have played an important role in the construction and operation of the engine, particularly in stoking the boilers, and advanced undergraduates are occasionally allowed to polish the brass gauges. Originally intended as a general computing engine, restrictions imposed by the Pollution Control and Noise Abatement Boards require that only algorithms running in polynomial time may be used. The project recently suffered another setback when one of Professor Ruzzo's graduate students slipped on a mouldering stack of ungraded homework exercises and fell under the write head of one of the machines. Now permanently embossed with a series of 1's and 0's, the student is suing to have the machine dismantled. When not blowing off steam, he also pursues research in computational biology as part of the CSE department's Computational and Synthetic Biology Group , as well as participating in graduate training through the interdisciplinary graduate program in Computational Molecular Biology and, of course, undergraduate and graduate education in Computer Science & Engineering. diff --git a/src/data/compiled_bios/3864.txt b/src/data/compiled_bios/3864.txt new file mode 100644 index 0000000000..1464bba16e --- /dev/null +++ b/src/data/compiled_bios/3864.txt @@ -0,0 +1 @@ + Hunter Schafer Hunter Schafer (pronouns: he&emsp14&emsp14him) Lecturer Paul G. Allen School of Computer Science & Engineering University of Washington hschafer [at] cs [dot] washington [dot] edu Paul G. Allen Center, Office 444 About Hunter Schafer is a lecturer in the Paul G. Allen School for Computer Science and Engineering at the University of Washington. Hunter received his B.S in Computer Science in 2016 and his M.S. in Computer Science in 2018, both from the University of Washington. Hunter primarily teaches classes on introduction to programming, data structures and algorithms, data science, and machine learning with a focus on making these extremely important topics accessible to students from varying fields of study across campus. Teaching Quarter Course Note 18au CSE 143: Computer Programming II 18sp CSE/STAT 416: Machine Learning Emily Fox lectured, Hunter helped develop course materials 17au CSE 390HA: 142 Honors Discussion Section 17su CSE 143: Computer Programming II Resources Java-2-Python a guide to learn Python by building off of previous knowledge of Java diff --git a/src/data/compiled_bios/3865.txt b/src/data/compiled_bios/3865.txt new file mode 100644 index 0000000000..6d0ab4e109 --- /dev/null +++ b/src/data/compiled_bios/3865.txt @@ -0,0 +1 @@ + Adriana Schulz Adriana Schulz Assistant Professor University of Washington Paul G. Allen School of Computer Science & Engineering Office: CSE 468 adriana [at] cs.washington.edu I am an assistant professor at the Paul G. Allen School of Computer Science & Engineering at the University of Washington , where I am a member of the Computer Graphics Group ( GRAIL ). My research focuses on computational design for manufacturing. As 3D printers and industrial robots begin to reshape manufacturing, my goal is to define design tools that will drive and democratize this new industrial revolution. I use data-driven methods to create intelligent tools that make design more efficient and accessible, and real-time performance-driven methods for design based on functionality. I incorporate these ideas into interactive tools that allow design of complex functional mechanisms that require design and optimization of not only geometry, but also motion and control. Publications InverseCSG: Automatic Conversion of 3D Models to CSG Trees [soon!] T. Du, J. Inala, Y. Pu, A. Spielberg, A. Schulz , D. Rus, W. Matusik, A. Solar-Lezama ACM Transactions on Graphics (SIGGRAPH ASIA), 2018 PhD Thesis: Computational Design for the Next Manufacturing Revolution [ pdf ] A. Schulz , Advisor: Wojciech Matusik Massachusetts Institute of Technology, 2018 Interactive Exploration of Design Trade-Offs [ project web ] [ pdf ] A. Schulz , H. Wang., E. Grinspun, J. Solomon, W. Matusik ACM Transactions on Graphics (SIGGRAPH), 2018 Carpentry for Mass Customization [pdf and video coming soon!] J. Lipton*, A. Schulz *, A. Spielberg, L. Trueba, W. Matusik, D. Rus (*equal contribution) International Conference on Robotics and Automation (ICRA), 2018 Interactive Robogami [ project web ] [ pdf ] A. Schulz *, C. Sung*, A. Spielberg, W. Zhao, Y. Cheng, E. Grinspun, D. Rus, W. Matusik (*equal contribution) International Journal of Robotics Research (IJRR), 2017 Interactive Design Space Exploration and Optimization for CAD Models [ project web ] [ pdf ] [ suplemental material ] A. Schulz , J. Xu, B. Zhu, C. Zheng, E. Grinspun, W. Matusik ACM Transactions on Graphics (SIGGRAPH), 2017 Retrieval on Parametric Shape Collections [ project web ][ pdf ] A. Schulz , A. Shamir, I. Baran, D. Levin, P. Sitthi-amorn, W. Matusik ACM Transactions on Graphics (TOG), 2017 (presented at SIGGRAPH 2017) Computational Multicopter Design [ project web ][ pdf ] T. Du, A. Schulz , B. Zhu, B. Bickel, W. Matusik ACM Transactions on Graphics (SIGGRAPH ASIA), 2016 Design and Fabrication by Example [ project web ][ pdf ] A. Schulz , A. Shamir, D. Levin, P. Sitthi-amorn, W. Matusik ACM Transactions on Graphics (SIGGRAPH), 2014 ChoreoGraphics: An Authoring Tool for Dance Shows [ project web ][ pdf ] A. Schulz , W. Matusik, L. Velho ACM SIGGRAPH (posters), 2011 Journal of Graphics Tools, 2014. Compressive Sensing (Course and Book) [ project web ][ pdf ] A. Schulz , E. daSilva, L. Velho 27th Brazilian Mathematics Colloquium, IMPA, 2009 Mathematical Publications Collection, IMPA, 2010 Second Edition On The Empirical Rate-Distortion Performance of Compressive Sensing [ pdf ] A. Schulz , L. Velho, E. daSilva IEEE International Conference on Image Processing (ICIP), 2009 Teaching Fall 2018: Computational Fabrication ( CSE 556 ) Winter 2019: Special Topics in Computational Fabrication ( CSE 599-J1 ) Bio I received my Ph.D. degree in June 2018 from the Computer Science Department at MIT, where I was advised by Professor Wojciech Matusik . During my PhD, I spent time at Columbia University working with Professor Eitan Grinspun , and, at MIT, I also worked closely with Daniela Rus , developing computational tools for robot design. Before starting my PhD, I obtained a Master's in Mathematics from IMPA , where I worked with Professor Luiz Velho and a Bachelor in Electronics Engineering from UFRJ , where I worked with Professor Eduardo da Silva . Recent News Media Coverage for AutoSaw MIT News BBC IEEE Spectrum Science Daily Engadget MIT Technology Review , New Scientist Popular Mechanics . Interactive Robogami is the most read article in IJRR in the last year! Media Coverage for Robogami MIT News TechCrunch Engadget Gadgets Digital Trends 3D print TechRadar , RS-Tech EurekAlert 3Ders . Media Coverage for InstantCAD MIT NEWS Engadget 3D print Science Daily Business Standard Media Coverage for MultiCopters WIRED (check out this inteview !) MIT News TechCrunch Vice Fast Company Engadget Popular Mechanics IEEE Spectrum New Atlas ZDNet Digital Trends PC Magazine Robotics Trends Yahoo News diff --git a/src/data/compiled_bios/3866.txt b/src/data/compiled_bios/3866.txt new file mode 100644 index 0000000000..aca2afaadf --- /dev/null +++ b/src/data/compiled_bios/3866.txt @@ -0,0 +1 @@ + Steven Seitz Steven Seitz Robert E. Dinning Professor Department of Computer Science and Engineering University of Washington Box 352350 Seattle, Washington 98195-2350 Office: CSE 592 ( directions ), in the Allen Center Phone: (206) 616-9431 Fax: (206) 543-2969 Email: seitz@cs.washington.edu Assistant: Jennifer Snow (206) 685-1964 , CSE 456 Education : Ph.D., U. Wisconsin, Madison, 1997. B.A., U.C. Berkeley, 1991. Areas of Interest : computer vision, virtual and augmented reality, computer graphics Background : Biosketch , CV , photo of me Affiliations: Graphics and Imaging Laboratory (GRAIL) , Google (Seattle Office) Teaching : VR/AR Capstone ; previous courses taught New Publications: Surface Lightfield Fusion 3DV PhotoShape SIGGRAPH Asia 18 Soccer on your tabletop CVPR 18 Pepper's Cone UIST 17 Room Capture UIST 17 Audio to Obama SIGGRAPH 17 im2CAD CVPR 17 3D Time Lapse IJCV 17 Best Papers Issue Time Lapse SIGGRAPH 15 Dynamic Fusion CVPR 15 Best Paper Tom Hanks ICCV 15 phone depth CVPR 15 Industry Research Highlights Google Jump , profile , and inside story (Wired) VR180 , Cardboard Camera Lens Blur Google Maps Photo Tours and mapsGL Picasa FaceMovies Microsoft's Photosynth Other Representative Papers: Photo Collections Photo Recall VSM 14 3D Wikipedia SIGGRAPH Asia 13 collection flow CVPR 12 Photobios SIGGRAPH 11 Where's Waldo CVPR 11 Being John Malkovic ECCV 10 wisdom of crowds photo paths scene summarization photo tourism Image-Based Rendering and Illumination Age Progression CVPR 14 iphone scene capture UIST 12 photo tours 3DIMPVT 12 dynamic mosaics 3DimPVT 12 Regenerative morphing CVPR 10 scene dimension ICCV 09 inverse light transport the space of all stereo images single view modeling view morphing 3D Shape Reconstruction Multicore... 3D moving faces ECCV 14 Occluding Contour Stereo CVPR 14 visual turing test 3DV 13 schematic surface reconstruction CVPR 12 3D faces in the wild ICCV 11 Bundle Adjustment CVPR 11 Rome in a day ACM Research Highlights 11 Internet-scale MVS CVPR 10 3D buildings ICCV 09 manhattan stereo CVPR 09 skeletal sets for SFM internet stereo mview stereo eval mview stereo revisited learning MRF stereo spacetime faces example-based reconstruction shape+motion with shading space carving voxel coloring Motion and Animation filter flow ICCV 09 video storyboards rotoscoping flow-based video editing video-based cloth modeling capturing rigid body dynamics motion sketching authoring physically- based animations cyclic motion Vision for HCI video objects office of the past vision for crowd games Full list of Publications (Google Scholar) Online Talks "A Trillion Photos," CMU Robotics Seminar, November 30, 2012 " History of 3D Computer Vision ," ( video , slides ) NSF Frontiers in Computer Vision, August 21, 2011 " Navigating the world's photos ," (video) Google tech talk, June 13, 2007 " Beyond Perspective ," (video) 3DPVT Keynote, June 20, 2002 Graduate Advisees Adam Fishman Nikita Haduong Aleksander Holynski Hamid Izadinia Xuan Luo JJ Park Keunhong Park Yifan Wang Postdocs Konstantinos Rematas Former Students and Postdocs Aditya Sankar (UW) Ricardo Martin (Google) Chris Sweeney (Oculus) Supasorn Suwajanakorn (Google) Richard Newcombe (Oculus) Qi Shan (Zillow) Neeraj Kumar (Dropbox) Avanish Kushal (Jane Street) Min Sun (NTHU) Ira Kemelmacher (UW) Changchang Wu (Google) Rahul Garg (Google) Hao Du (Google) Ian Simon (Smule) Sameer Agarwal (Google, UW) Yasu Furukawa (Simon Frasier) Noah Snavely (Cornell) Eli Shechtman (Adobe) Dan Goldman (Google) Michael Goesele (TU Darmstadt) Li Zhang (Google) Jiwon Kim (NHN) Aaron Hertzmann (Adobe) Kiran Bhat (ILM) Jovan Popovic (Adobe) Tom Kang (Softimage) Chris Twigg (ILM) Guillaume Dugas-Phocion (INRIA) Sponsors diff --git a/src/data/compiled_bios/3867.txt b/src/data/compiled_bios/3867.txt new file mode 100644 index 0000000000..521e925d49 --- /dev/null +++ b/src/data/compiled_bios/3867.txt @@ -0,0 +1 @@ +Joshua Smith leads the Sensor Systems research group. The group invents new sensor systems, devises new ways to power them, and develops algorithms for using them. The research has application in the domains of robotics, ubiquitous computing, and HCI. Current projects include the battery-free mobile phone, RF-powered cameras, FREE-D (wireless power for Left Ventricular Assist Devices, a type of artificial heart); WARP, extracting power from TV and cell phone towers; and WISP, fully-programmable sensing and computing platforms that are powered by RFID readers. In the area of robotics, the group is working on sensing techniques to support mobile manipulation and Personal Robotics. We have a Willow Garage PR2 robot. We are developing a variety of novel sensors aimed at improving robotic manipulation. diff --git a/src/data/compiled_bios/3868.txt b/src/data/compiled_bios/3868.txt new file mode 100644 index 0000000000..462d3461da --- /dev/null +++ b/src/data/compiled_bios/3868.txt @@ -0,0 +1 @@ + Noah Smith home teaching research book papers ARK contact Noah Smith Photo by Dennis Wise/UW. Interview by UW student Neil Flodin . Noah Smith designs data-driven algorithms for automated analysis of human language. His work tackles the core problems of natural language processing: parsing sentences in different languages into syntactic representations ( EGS '05 ; MSX '09 , AMBDS '16 ) and semantic representations ( DSCS '10 ; FTDCS '14 , SBDS '16 ) , as well as cross-cutting techniques for unsupervised language learning ( SE '05 ; CS '09 ) . His 2011 book, Linguistic Structure Prediction , synthesizes many statistical modeling techniques for language. Some of the methods he has contributed recently include conditional random field autoencoders ( ADS '14 ) , linguistic regularizers ( YS '14 ) , alternating directions dual decomposition (AD 3 ; MFASX '15 ), retrofitting ( FDJDHS '15 ) , recurrent neural network grammars ( DKBS '16 ) , entity language models ( JTMCS '17 ) , scaffolds ( STLZDS '18 ) , and rational recurrences ( PSTS '18 ) . Such methods advance applications for automatic translation ( ACJKLMOPSY '99 ; GS '11 ) , summarization ( LFTSS '15 ) , question answering ( WSM '07 ) , empirical work in the social sciences ( KLRSS '09 ; YCS '09 , SAGS '13 ) and humanities ( BUS '14 ) , education ( HS '10 ) , and other next-generation language technologies. Smith is Professor of Computer Science & Engineering at the University of Washington , Adjunct in Linguistics , Affiliate of the Center for Statistics and the Social Sciences , and Senior Data Science Fellow at the eScience Institute . He is also Senior Research Manager for the AllenNLP team at the Allen Institute for Artificial Intelligence . Previously, he was Finmeccanica Associate Professor in the School of Computer Science at Carnegie Mellon University , completed his Ph.D. as a Hertz Foundation Fellow at Johns Hopkins University , and studied at the Universities of Maryland and Edinburgh and Western Maryland College . He is an amateur clarinetist, tanguero , swimmer, cocktail enthusiast, and serves on the staff of two felines. For more details, see his biographical blurb or academic c.v. Teaching Tutorials and Public Presentations Squashing Computational Linguistics [ video ] Invited talk at ACL , August 1, 2017 Sequence Models [ video ] Lisbon Machine Learning Summer School , July 20117 Natural Language Processing: Algorithms and Applications, Old and New WSDM winter school, January 31, 2015 Structured Sparsity in NLP EACL , April 27, 2014, with Andr Martins , Mrio Figueiredo , and Dani Yogatama NAACL , June 3, 2012, with Andr Martins and Mrio Figueiredo NLP Demystified NSF SoCS PI meeting, June 28, 2013 Probability and Structure in NLP (four-lecture version) Invited course at the University of Heidelberg, November 2014 Probability and Structure in NLP (six-lecture version) International Summer School in Language and Speech Technologies , JulyAugust 2012 IBM's T. J. Watson Research Center, May 2011, with Shay Cohen Using Text to Predict The Real World SxSW , March 13, 2011, with Philip Resnik [ Philip's slides ] Structured Prediction for NLP ICML , June 14, 2009 Courses CSE 446: Machine Learning (for undergraduates), taught autumn 2017 CSEP 517: NLP (for professional M.S. students), taught spring 2017 ; video lectures available CSE 447 (formerly 490U): NLP (for undergraduates), taught winter 2019, winter 2017 CSE 599D1: Advanced NLP (for Ph.D. students), taught spring 2016 CSE 517: NLP (for Ph.D. students), taught spring 2018 and winter 2016 At CMU , I taught courses on NLP at the undergraduate and graduate levels, including an course originally called "Language and Statistics II" and later "Structured Prediction for Language and Other Discrete Data." Once I taught the graduate course "Probabilistic Graphical Models." I regularly led advanced seminars and lab courses on NLP. In 2013, students in the lab developed open-source morphology tools for Akkadian (Assyrian) and Babylonian , Farsi , French , German , Hindi , Japanese , Russian , Slovene , and Spanish (the author of each is credited at the Github or Bitbucket site). At various times, I co-taught with William Cohen , Chris Dyer , Bob Frederking , and Alon Lavie . At JHU , I designed and taught short courses titled "Empirical Research Methods in Computer Science" (with David Smith ) and "Computational Genomics: Sequence Modeling" (with Roy Tromble ). Other teaching materials include the hands-on exercise Predicting English (with Jason Eisner ; read the paper ), and brief tutorials on hidden Markov models and log-linear models . Research My academic group is Noah's ARK ; we are part of the larger UW NLP fleet. UW NLP is a great place to do NLP research! If you rely on automatic "metrics-based" rankings sites to learn where NLP research is happening, you might miss this fact. In particular, the maintainers of CS rankings dot org have taken it on themselves to categorize NLP researchers as academics or not. As a result, several of my colleagues and I have been excluded from the list of UW faculty because we have external, non-academic affiliations. (There are, of course, many shades of shared affiliation, and the site draws an arbitrary line across a complicated space, without a clear explanation or a careful effort to apply the rule evenly.) There's a lot to be said about this issue (perhaps I'll write something about it soon), but please note that the UW NLP group is thriving and, in my opinion, one of the best places in the world to be an NLP researcher. In 2011 I published a book , Linguistic Structure Prediction . I write papers (organized by date , by topic , or by Google ). If you would like to help support my work, please consider doing so through Benefunder . If you have a technical question about my research, it's fine to email me and my coauthors. If you would like to work with me, please read this before contacting me . Some research activities and events that I am or have been involved in: From 201215 and 2018present, I served as the secretary-treasurer of SIGDAT , which brings you the annual EMNLP conference. I co-organized the Ninth Annual Conference on New Directions in Analyzing Text as Data , an interdisciplinary meeting held at UW, September 212, 2018 (with Emily Gade and John Wilkerson ) I was a program co-chair for ACL 2016, with Katrin Erk . I co-organized the Language Technologies and Computational Social Science , a workshop at ACL 2014 (with Cristian Danescu-Niculescu-Mizil , Jacob Eisenstein , and Kathy McKeown ) and the NLP Unshared Task in PoliIinformatics , a research competition at the workshop (with Claire Cardie , Anne Washington , and John Wilkerson ) I co-organized the Twenty Years of Bitext workshop at EMNLP 2013 (with Chris Dyer and Phil Blunson ) Miscellany remembering my Dad, Wayne advice for undergrads and about choosing a grad school using the Mathematics Genealogy Project , I learned that my students and I are "descended" from Copernicus , Leibniz , two Bernoullis , Euler , Lagrange , Fourier , Poisson , Dirichlet , Gauss , Ohm , Lipschitz , Halle , and Jakobson . My Ph.D. advisor was Eisner . my great-uncle Alex Steinweiss invented record album cover art, and another great-uncle Barney Stein was the photographer of the Brooklyn Dodgers diff --git a/src/data/compiled_bios/3869.txt b/src/data/compiled_bios/3869.txt new file mode 100644 index 0000000000..5d6162a26a --- /dev/null +++ b/src/data/compiled_bios/3869.txt @@ -0,0 +1 @@ + Access denied | goodrobot.ai used Cloudflare to restrict access Please enable cookies. Error 1010 Ray ID: 4aac31786f72550a 2019-02-17 23:56:54 UTC Access denied What happened? The owner of this website (goodrobot.ai) has banned your access based on your browser's signature (4aac31786f72550a-ua48). Cloudflare Ray ID: 4aac31786f72550a Your IP : 2601:240:8100:c5e1:65e7:2b40:4aea:274b Performance & security by Cloudflare diff --git a/src/data/compiled_bios/387.txt b/src/data/compiled_bios/387.txt new file mode 100644 index 0000000000..05f53a2534 --- /dev/null +++ b/src/data/compiled_bios/387.txt @@ -0,0 +1 @@ +Name: Pervin, William:: Position: Professor Emeritusof Mathematics, Electrical and Computer Engineering, and Computer Science:: Degrees: Ph.D., Computer Science,Southern Methodist University, Dallas, TX; M.S., Mathematics, University of Houston, Houston, TX; B.S., Mathematics,University of Houston, Houston, TX; ; ; Major Honors and Awards:; ; Senior Member, IEEE, 1985; Outstanding Service Award, Dallas Chapter IEEE-Computer Society, 1995 and 2000; Outstanding Service Award, Dallas Chapter Signal Processing Society, 2010; ; ; ; Refereed Journal Articles: diff --git a/src/data/compiled_bios/3870.txt b/src/data/compiled_bios/3870.txt new file mode 100644 index 0000000000..6508adb253 --- /dev/null +++ b/src/data/compiled_bios/3870.txt @@ -0,0 +1 @@ + I am a full professor in Computer Science & Engineering at the University of Washington . I teach databases and do research in data management. I apply formal theory to novel and difficult data management tasks. My past work has addressed various aspects of managing semistructured data, including query languages, compression, query processing and type inference. My current work is on managing uncertain and probabilistic data, data privacy and security, the complexity of parallel query evaluation, and the theory of pricing data on the Web. My Erdos number is 2. A short bio is here . diff --git a/src/data/compiled_bios/3871.txt b/src/data/compiled_bios/3871.txt new file mode 100644 index 0000000000..ab13e1321b --- /dev/null +++ b/src/data/compiled_bios/3871.txt @@ -0,0 +1 @@ + My current research interests are novice programming environments, collaborative problem-solving environments, and technology for educational assessment including the use of pattern-recognition methods in teaching of written language on tablets. In my keynote talk at the International Conference on Live Coding (Leeds, UK, 2015), I traced the historical influences that have led to the widespread use of liveness in modern software environments. One application of liveness is in collaborative problem solving, demonstrated in "Solving Problems by Drawing Solution Paths" which won the VL/HCC Best Showpiece Award in 2015. My teaching interests include image processing, visual languages, artificial intelligence, data structures and algorithms. As image processing plays a bigger role in our lives, there are new ways to teach and learn image processing. In my text, An Interdisciplinary Introduction to Image Processing: Pixels, Numbers, and Programs (MIT Press, May 2012), I consider the subject not only from a computing perspective, but also as a creative and mathematical subject. diff --git a/src/data/compiled_bios/3872.txt b/src/data/compiled_bios/3872.txt new file mode 100644 index 0000000000..fa27bf0833 --- /dev/null +++ b/src/data/compiled_bios/3872.txt @@ -0,0 +1 @@ + Zachary Tatlock Zachary Tatlock Zachary Tatlock ztatlock@cs.washington.edu Assistant Professor Allen School of Computer Science and Engineering University of Washington Research Students Projects Teaching Publications Service Collaborators Background News Ill be giving a talk at Galois Inc.in early September. I taught at the Deep Spec Summer School this July at Princeton. Check out the materials ! I spoke about verifying systems at the Coq Workshop 2018 co-located with FloC in Oxford, July 2018. See the slides ! I spoke at PLMW @ PLDI 2018 . It was a great event for junior researchers in PL thanks to all the hard work of the organizers. I lead the organizition for PNW PLSE 2018 . If you hang out in the Pacific Northwest and are working in software engineering, programming languages, systems, or related areas make sure to stay tuned for next years event! Past news Research Computer programming is a huge success; it plays a major role in most modern problem solving. However, for some problems we still have trouble writing programs that reliably do the right thing. My research improves software reliability by developing tools that help programmers ensure their code is safe and accurate. My students and I focus on important programs, including the software infrastructure that many other programs rely on (compilers, distributed systems, networks); control programs in safety-critical applications (radiotherapy devices); and approximations used in engineering and manufacturing (floating point, 3D printing). We spend many hours working out proofs on the whiteboard, but we always build working systems. We release our code so others can review and build on our work, and we get free food when we work late. All our papers and projects are collaborations with incredible colleagues . Our home base is in the vibrant UW PLSE group and we also have long term collaborations with SAMPL , Syslab , the Applications Driving Architectures (ADA) Center, and the SandCat Project . Students Im extremely fortunate to advise some spectacular PhD students: Steven Lyubomirsky Chandrakana Nandi 1 Pavel Panchekha 2 Jared Roesch James R. Wilcox Doug Woos 2,3 As well as some stellar BS and BS/MS students (co-advised with my graduate students): Josh Pollock Jason (Chen) Qiu David Thien Logan Weber After graduating, students go on to awesome new opportunities: Juliet Oh (HS 2015 Princeton BS) Alex Sanchez-Stern (BS/MS 2016 UCSD PhD) Daryl Zuniga 1 (BS 2016 Microsoft) Seth Pendergrass (BS 2017 Microsoft) Ryan Doenges (BS 2017 Cornell PhD) Luke Nelson 4 (BS 2017 UW PhD) Konstantin Weitz 2 (PhD 2017 Google) Adam Geller (BS 2018 UBC Phd) Eric Mullen 1 (PhD 2018 Google) Stuart Pernsteiner (PhD 2018 Galois Inc.) Co-advised with (1) Dan Grossman , (2) Michael D. Ernst , (3) Tom Anderson , (4) Xi Wang Projects Oeuf explores verified compilation from a subset of Gallina (Coqs functional programming language) to the CompCert Cminor intermediate representation to enable trustworthy binary executable code generation for Coq . [CPP 18] The Distributed Components project aims to provide modular verified components for distributed systems. [POPL 18, SNAPL 17] Incarnate applies ideas from compiler verifiation and numerical methods to improve the reliability of desktop 3D printers. [SNAPL 17] Cassius develops tools to automatically reason about web page layout and help developers ensure their pages are accessible to everyone. [PLDI 18] Herbgrind builds on Valgrind to provide binary instrumentation for dynamically identifying the root cause of floating-point inaccuracy in large, low-level numerical programs. [PLDI 18] Neutrons develops techniques to ensure the correctness of radiotherapy devices in the UW Clinical Neutron Therapy System . [ICALEPCS 17, CAV 16, SNAPL 15] Verdi provides a framework for formally verifying implementations of distributed systems. [CPP 16, PLDI 15] Herbie automatically improves the numerically accuracy of floating-point programs. [PLDI 15] FPBench provides a set of tools and community standard for floating-point accuracy benchmarks. [NSV 16] Checking out past projects can also help provide a sense for the sort of work we do: SpaceSearch Bagpipe Peek RoboFlow Jitk Reflex SafeDispatch Quark Peggy PEC/XCert Quail Teaching Wi 19 CSE 341: Programming Languages Fa 18 CSE 505: Graduate Programming Languages Sp 18 CSE 331: Software Design and Implementation Wi 18 CSE 341: Programming Languages Fa 17 CSE 505: Graduate Programming Languages Sp 17 CSE 599Z: Accurate Computing Wi 17 CSE 331: Software Design and Implementation Fa 16 CSE 505: Graduate Programming Languages Sp 16 CSE 599W: Systems Verification Wi 16 CSE 331: Software Design and Implementation Fa 15 CSE 505: Graduate Programming Languages Sp 15 CSE 341: Programming Languages Wi 15 CSE 505: Graduate Programming Languages Sp 14 CSE 341: Programming Languages Wi 14 CSE 506: Proof Assistants Fa 13 CSE 505: Graduate Programming Languages I was honored to be nominated for the UW Distinguished Teaching Award in 2015. Publications ICFP 18 Functional Programming for Compiling and Decompiling Computer-Aided Design Chandrakana Nandi , James R. Wilcox , Pavel Panchekha , Taylor Blau , Dan Grossman , Zachary Tatlock project FM 18 Combining Tools for Optimization and Analysis of Floating-Point Computations Heiko Becker , Pavel Panchekha , Eva Darulova , Zachary Tatlock Daisy Herbie FPBench MAPL 18 Relay: A New IR for Machine Learning Frameworks Jared Roesch , Steven Lyubomirsky , Logan Weber , Josh Pollock , Tianqi Chen , Zachary Tatlock project ITP 18 Software Verification with ITPs Should Use Binary Code Extraction to Reduce the TCB (short paper) Ramana Kumar , Eric Mullen , Zachary Tatlock , Magnus O. Myreen CakeML Oeuf PLDI 18 Verifying that Web Pages have Accessible Layout Pavel Panchekha , Adam Geller , Michael D. Ernst , Zachary Tatlock , Shoaib Kamil project PLDI 18 Finding Root Causes of Floating Point Error Alex Sanchez-Stern , Pavel Panchekha , Sorin Lerner , Zachary Tatlock project CPP 18 uf: Minimizing the Coq Extraction TCB Eric Mullen , Stuart Pernsteiner , James R. Wilcox , Zachary Tatlock , Dan Grossman project POPL 18 Programming and Proving with Distributed Protocols Ilya Sergey , James R. Wilcox , Zachary Tatlock project talk ICFP 17 Spacesearch: A Library for Building and Verifying Solver-aided Tools Konstantin Weitz , Steven Lyubomirsky , Stefan Heule , Emina Torlak , Michael D. Ernst , Zachary Tatlock project ICALEPCS 17 Automatic Formal Verification for EPICS Jonathan Jacky , Stefani Banerian , Michael D. Ernst , Calvin Loncaric , Stuart Pernsteiner , Zachary Tatlock , Emina Torlak project talk pdf slides bib publisher SNAPL 17 Programming Language Tools and Techniques for 3D Printing Chandrakana Nandi , Anat Caspi , Dan Grossman , Zachary Tatlock project SNAPL 17 Programming Language Abstractions for Modularly Verified Distributed Systems James R. Wilcox , Ilya Sergey , Zachary Tatlock project COQPL 17 Verification of Implementations of Distributed Systems Under Churn Ryan Doenges , James R. Wilcox , Doug Woos , Zachary Tatlock , Karl Palmskog project OOPSLA 16 Scalable Verification of Border Gateway Protocol Configurations with an SMT Solver Konstantin Weitz , Doug Woos , Emina Torlak , Michael D. Ernst , Arvind Krishnamurthy , Zachary Tatlock project NSV 16 Toward a Standard Benchmark Format and Suite for Floating-point Analysis Nasrine Damouche , Matthieu Martel , Pavel Panchekha , Chen Qiu , Alexander Sanchez-Stern , Zachary Tatlock project talk pdf slides NETPL 16 Formal Semantics and Automated Verification for the Border Gateway Protocol Konstantin Weitz , Doug Woos , Emina Torlak , Michael D. Ernst , Arvind Krishnamurthy , Zachary Tatlock project CAV 16 Investigating Safety of a Radiotherapy Machine using System Models with Pluggable Checkers Stuart Pernsteiner , Calvin Loncaric , Emina Torlak , Zachary Tatlock , Xi Wang , Michael D. Ernst , Jonathan Jacky project PLDI 16 Verified Peephole Optimizations for CompCert Eric Mullen , Daryl Zuniga , Zachary Tatlock , Dan Grossman project talk CPP 16 Planning for Change in a Formal Verification of the Raft Consensus Protocol James R. Wilcox , Doug Woos , Steve Anton , Zachary Tatlock , Michael D. Ernst , Tom Anderson project pdf slides SNAPL 15 Toward a Dependability Case Language and Workflow for a Radiation Therapy System Michael D. Ernst , Dan Grossman , Jon Jacky , Calvin Loncaric , Stuart Pernsteiner , Zachary Tatlock , Emina Torlak , Xi Wang project pdf slides PLDI 15 Automatically Improving Accuracy for Floating Point Expressions Pavel Panchekha , Alex Sanchez-Stern , James R. Wilcox , Zachary Tatlock project video abstract talk poster pdf slides Distinguished Paper Award PLDI 15 Verdi: A Framework for Implementing and Formally Verifying Distributed Systems James R. Wilcox , Doug Woos , Pavel Panchekha , Zachary Tatlock , Xi Wang , Michael D. Ernst , Tom Anderson project pdf slides HRI 15 Visual Robot Programming for Generalizable Mobile Manipulation Tasks Sonya Alexandrova , Zachary Tatlock , Maya Cakmak project ICRA 15 RoboFlow: A Flow-based Visual Programming Language for Mobile Manipulation Tasks Sonya Alexandrova , Zachary Tatlock , Maya Cakmak project COQPL 15 Peek: A Formally Verified Peephole Optimization Framework for x86 Eric Mullen , Zachary Tatlock , Dan Grossman project OSDI 14 Jitk: A Trustworthy In-Kernel Interpreter Infrastructure Xi Wang , David Lazar , Nickolai Zeldovich , Adam Chlipala , Zachary Tatlock project talk slides PLDI 14 Automating Formal Proofs for Reactive Systems Daniel Ricketts , Valentin Robert , Dongseok Jang , Zachary Tatlock , Sorin Lerner project talk pdf slides slides NDSS 14 SafeDispatch: Securing C++ Virtual Calls from Memory Corruption Attacks Dongseok Jang , Zachary Tatlock , Sorin Lerner pdf slides slides SECURITY 12 Establishing Browser Security Guarantees Through Formal Shim Verification Dongseok Jang , Zachary Tatlock , Sorin Lerner project poster talk slides LMCS 11 Equality Saturation: A New Approach to Optimization Ross Tate , Michael Stepp , Zachary Tatlock , Sorin Lerner project PLDI 10 Bringing Extensibility to Verified Compilers Zachary Tatlock , Sorin Lerner project slides PLDI 09 Proving Optimizations Correct Using Parameterized Program Equivalence Sudipta Kundu , Zachary Tatlock , Sorin Lerner project talk slides POPL 09 Equality Saturation: A New Approach to Optimization Ross Tate , Michael Stepp , Zachary Tatlock , Sorin Lerner project talk slides OOPSLA 08 Deep Typechecking and Refactoring Zachary Tatlock , Chris Tucker , David Shuffelton , Ranjit Jhala , Sorin Lerner project poster slides Similar listings are available at: DBLP , Google Scholar , Semantic Scholar , Research Gate Service Reviewing: ICFP 2019 External Review Committee TOPLAS Referee 2018 PLDI 2019 Program Committee CPP 2019 Program Committee ITP 2018 Program Committee POPL 2018 Program Committee PNW PLSE 2018 Organizing and Program Committee Chair Onward! 2017 Program Committee Splash 2017 Doctoral Symposium Program Committee ASPLOS 2017 External Reviewer POPL 2017 External Reviewer PLDI 2016 Program Committee PLDI 2016 Artifact Evaluation Committee co-Chair CPP 2016 Program Committee ASPLOS 2016 External Review Committee POPL 2016 External Review Committee POPL 2016 Student Research Competition Organizer PLDI 2015 Student Research Competition Committee CoqPL 2015 Program Committee POPL 2015 External Review Committee Inspirations at SPLASH 2014 Organizer and Speaker OOPSLA 2014 External Review Committee PLDI 2014 External Review Committee Compiler Construction 2009 External Reviewer Collaborators I have been very fortunate to work on projects with some amazing folks over the years: Adam Chlipala Adam Geller Alex Sanchez-Stern Anat Caspi Antony Hosking Arvind Krishnamurthy Bill Harris Calvin Loncaric Chandrakana Nandi Chen Qiu Chris Tucker Dan Grossman Daniel Ricketts Daryl Zuniga David Lazar David Shuffelton Dongseok Jang Doug Woos Emina Torlak Eric Mullen Eva Darulova Heiko Becker Ilya Sergey James R. Wilcox Jared Roesch Jon Jacky Joseph Chet Redmon Josh Pollock Juliet Oh Karl Palmskog Konstantin Weitz Logan Weber Luke Nelson Magnus O. Myreen Matthieu Martel Maya Cakmak Melissa Medsker-Galloway Michael D. Ernst Michael Stepp Nasrine Damouche Nickolai Zeldovich Pavel Panchekha Ramana Kumar Ranjit Jhala Ross Tate Ryan Doenges Seth Pendergrass Shoaib Kamil Sonya Alexandrova Sorin Lerner Stefan Heule Stefani Banerian Steve Anton Steven Lyubomirsky Stuart Pernsteiner Sudipta Kundu Suresh Jagannathan Taylor Blau Tianqi Chen Tom Anderson Valentin Robert Xi Wang Background My research interests include formal verification, compilers, and security. Even outside the lab, I try to code for fun most days. If Im not hacking, Im running with friends or making something. I can juggle and solve Rubiks cubes, but not at the same time. Also, my name has a wicked cool anagram . I spent six sunny years at UC San Diego working on the PhD with my incredible advisor Sorin Lerner . Throughout grad school, Sorin set a stellar example of how remarkable research can be when you put students first, an example I strive to emulate. I also learned many invaluable lessons from the great Ranjit Jhala , especially when it comes to writing and presentation: Less is more! I graduated from Purdue University back in Spring 2007 with degrees in Computer Science and Mathematics . As an undergraduate, I was fortunate to perform research with Suresh Jagannathan on the SML compiler MLton . For our Honors Project, advised by Antony Hosking , Bill Harris and I designed and implemented a domain specific language to control a giant neon sculpture over the web. Over nearly three years, I ran the lab component of Purdues introductory Java programming course. Past News Our submissions on Cassius and Herbgrind were both accepted to PLDI 2018 . The talks in Philly June 2018 were great! James Wilcox s February 2018 article in CACM on Highlights in Systems Verification has a nice account of Verdi and other marquee verification successes in the field. I was honored to receive an NSF CAREER Award in early 2018. The September 2018 CACM article on Hacker-Proof Coding featured our work on verifying radiotherapy control systems . In Fall 2017 Neutrons was featured in CSE News . In August 2017, Pavel and I presented at a Dagstuhl on Floating Point . In June 2017, I gave a talk at MFPS on the Bagpipe and Verdi projects for verifying distributed systems. In April 2017, I gave a talk at Purdue on the Bagpipe tool for verifying BGP router configurations. In February 2017, I gave a talk at Utah on Herbie , Herbgrind , and FPBench . I was honored to receive a Google Faculty Award in 2016 . I gave an invited talk at VSTTE 2016 on verifying radiotherapy control software . In 2010, I wrote a chapter for Dipu s book High-Level Verification . Misc We have a great running group, Race Condition Running , that trots all over the city and gets brunch each week. The PLSE faculty are a great group, with incredible fashion sense. I help out with a bunch of stuff around the Allen School, including TGIF . Sometimes famous guests swing by :) I also help with the holiday skit where we try to take things a little less seriously. In Spring 2017 my first PhD student Konstantin graduated! In Summer 2017, Pavel and I met with a bunch of great folks at a Dagstuhl on Floating Point . In Spring 2017, a bunch of us went to the second SNAPL at Asilomar. Emina and I made video about Neutrons . We made a cool video showing how Roboflow works. My friend Garbo and I run Seattles premier pizza haiku blog: Seattle Pizza Odyssey . Some folks in the department juggle stuff. We teach many important life skills here in the Allen School. UCSDs 2014 Holiday Party featured an inspirational ad , and Ed noticed . Once while interning at MSR India , I got to drive an auto rickshaw. Some things worth reading: John Regehrs Blog Matt Mights Blog Fogarty on Code and Contribution Gabriel on Worse Is Better Simon on The Architecture of Complexity Style: The Basics of Clarity and Grace Orwell on Politics and the English Language Twenty things I wish Id known when I started my PhD So long, and thanks for the Ph.D.! Some interesting opinions on conferences and opinions: Conference Reviewing Considered Harmful Low Acceptance Rates of Conference Papers Considered Harmful Considered Harmful Essays Considered Harmful Some useful videos that illustrate a point: Gary Bernhardts Wat talk on sharp edges in dynamic scripting languages Mary Carillos epic improvisation shows cohesiveness without coherence (they can be independent!) My academic genealogy: Royal W. Sorensen Physics Tree Vincent C. Rideout Physics Tree Gerald Estrin David Martin David Patterson David Ungar Craig Chambers Sorin Lerner Zachary Tatlock The best bound I know on my Erds number , is 4 via James Wilcox : Pandoc Validate HTML/CSS Check Links diff --git a/src/data/compiled_bios/3873.txt b/src/data/compiled_bios/3873.txt new file mode 100644 index 0000000000..712b2066d6 --- /dev/null +++ b/src/data/compiled_bios/3873.txt @@ -0,0 +1 @@ + Stefano Tessaro Stefano Tessaro Associate Professor Alfred P. Sloan Fellow Paul G. Allen School of Computer Science & Engineering University of Washington E-mail: tessaro -(at)- cs -(dot)- washington -(dot)- edu [ About me ] [ Teaching ] [ Professional activities ] [ Advising ] [ Publications ] News: We are running a weekly reading group on cryptography. Feel free to reach out if you want to attend or give a talk. About me Research interests: I work on a wide spectrum of problems in cryptography . Most of my research is on theoretical cryptography, though I look more and more at applications. I am particularly excited about theoretical challenges in the design and analysis of practical cryptography, and about applications of complexity theory, discrete mathematics, and information theory to cryptography. I am also broadly interested in the design of privacy-preserving systems. My research is currently supported by an NSF CAREER award, NSF grants CNS 1423566, CNS 1719146, CNS 1528178, and IIS 1528041, and an Alfred P. Sloan Research Fellowship. Brief bio : Before joining UW in Winter 2019, I have been an assistant professor at UC Santa Barbara for five years. Even earlier, I was a research scientist at MIT CSAIL , supervised by Shafi Goldwasser , and a postdoctoral scholar at UC San Diego working with Mihir Bellare . I completed my PhD in 2010 at ETH Zurich under the supervision of Ueli Maurer . More information is available in my CV (check date, may be outdated). Teaching CS177 Computer Security ( Fall '18 , Fall '17, Fall '16, Spring '16, Spring '15) CS292F Introduction to Modern Cryptography (Graduate) (Winter '18, Winter '16, Winter '14) CS292F Topics in Applied Cryptography (Winter 17) CS138 Automata and Formal Languages (Fall '14, Fall '15) CS290G Research Topics in Cryptography (Graduate) (Winter 15) Professional activities Program committees : EUROCRYPT 2019 - IEEE S&P 2018 - ICITS 2017 - TCC 2017 - CRYPTO 2017 - NDSS 2017 - ACM CCS 2016 - SCN 2016 - ICITS 2016 - ACM CCS 2015 - ACNS 2015 - TCC 2015 - ASIACRYPT 2014 - SCN 2014 - CRYPTO 2014 - IMA CC 2013 - TCC 2013 - CRYPTO 2011 Editorial activities: Journal of Cryptology, Associate Editor Other activities: TCC 2010 (local organizing committee member) Advising Current: Aishwarya Thiruvengadam (Postdoc), Priyanka Bose (PhD, joint with Huijia Lin), Binyi Chen (PhD, joint with Huijia Lin), Pratik Soni (PhD, joint with Huijia Lin), Benjamin Terner (PhD, joint with Huijia Lin). Past: Viet Tung Hoang (Postdoc, 2015-16), Wei Dai (MS, 2016) , John Retterer-Moore (MS, 2015) Publications Tight Time-Memory Trade-offs for Symmetric Encryption Joseph Jaeger and Stefano Tessaro EUROCRYPT 2019 Provable Time-Memory Trade-Offs: Symmetric Cryptography Against Memory-Bounded Adversaries Stefano Tessaro and Aishwarya Thiruvengadam TCC 2018 (Full version coming soon!) The Multi-user Security of GCM, Revisited: Tight Bounds for Nonce Randomization Viet Tung Hoang, Stefano Tessaro, and Aishwarya Thiruvengadam CCS 2018 The Curse of Small Domains: New Attacks on Format-Preserving Encryption Viet Tung Hoang, Stefano Tessaro, and Ni Trieu CRYPTO 2018 Privacy and Efficiency Tradeoffs for Multiword Top K Search with Linear Additive Rank Scoring Daniel Agun, Jinjin Shao, Shiyu Ji, Stefano Tessaro, and Tao Yang WWW 2018 Revisiting AES-GCM-SIV: Multi-user Security, Faster Key Derivation, and Better Bounds Priyanka Bose, Viet Tung Hoang, and Stefano Tessaro EUROCRYPT 2018 Naor-Reingold Goes Public: The Complexity of Known-key Security Pratik Soni and Stefano Tessaro EUROCRYPT 2018 Foundations of Homomorphic Secret Sharing Elette Boyle, Niv Gilboa, Yuval Ishai, Huijia Lin, and Stefano Tessaro ITCS 2018 Indistinguishability Obfuscation from Trilinear Maps and Block-Wise Local PRGs Huijia Lin and Stefano Tessaro CRYPTO 2017 Information-theoretic Indistinguishability via the Chi-squared Method Wei Dai, Viet Tung Hoang, and Stefano Tessaro CRYPTO 2017 Scrypt is Maximally Memory-Hard Jol Alwen, Binyi Chen, Krzysztof Pietrzak, Leonid Reyzin, and Stefano Tessaro EUROCRYPT 2017 - Best Paper Award Public-seed Pseudorandom Permutations Pratik Soni and Stefano Tessaro EUROCRYPT 2017 The Multi-User Security of Double Encryption Viet Tung Hoang and Stefano Tessaro EUROCRYPT 2017 Message-recovery attacks on Feistel-based Format Preserving Encryption Mihir Bellare, Viet Tung Hoang and Stefano Tessaro CCS 2016 Simultaneous Secrecy and Reliability Amplification for a General Channel Model Russell Impagliazzo, Ragesh Jaiswal, Valentine Kabanets, Bruce M. Kapron, Valerie King, and Stefano Tessaro TCC 2016-B Key-alternating ciphers and key-length extension: Exact bounds and multi-user security Viet Tung Hoang and Stefano Tessaro CRYPTO 2016 - Invited to the Journal of Cryptology TaoStore: Overcoming Asynchronicity in Oblivious Data Storage Cetin Sahin, Victor Zakhary, Amr El Abbadi, Huijia Lin, and Stefano Tessaro S&P 2016 On the Complexity of Scrypt and Proofs of Space in the Parallel Random Oracle Model Joel Alwen, Binyi Chen, Chethan Kamath, Vladimir Kolmogorov, Krzysztof Pietrzak, and Stefano Tessaro EUROCRYPT 2016 Hash-Function based PRFs: AMAC and its Multi-User Security Mihir Bellare, Daniel J. Bernstein, and Stefano Tessaro EUROCRYPT 2016 Provably Robust Sponge-Based PRNGs and KDFs Peter Gazi and Stefano Tessaro EUROCRYPT 2016 Oblivious Parallel RAM: Improved Efficiency and Generic Constructions Binyi Chen, Huijia Lin, and Stefano Tessaro TCC 2016-A Contention in Cryptoland: Obfuscation, Leakage and UCE Mihir Bellare, Igors Stepanovs, and Stefano Tessaro TCC 2016-A Two-Round Man-in-the-Middle Security from LPN David Cash, Eike Kiltz, and Stefano Tessaro TCC 2016-A Optimally Secure Block Ciphers from Ideal Primitives Stefano Tessaro ASIACRYPT 2015 Generic Security of NMAC and HMAC with Input Whitening Peter Gazi, Krzysztof Pietrzak, and Stefano Tessaro ASIACRYPT 2015 The Exact PRF Security of Truncation: Tight Bounds for Keyed Sponges and Truncated CBC Peter Gazi, Krzysztof Pietrzak, and Stefano Tessaro CRYPTO 2015 Secret-key Cryptography from Ideal Primitives: A Systematic Overview Peter Gai and Stefano Tessaro ITW 2015 - Invited paper Obfuscation of Probabilistic Circuits and Applications Ran Canetti, Huijia Lin, Stefano Tessaro, and Vinod Vaikuntanathan TCC 2015 Relaxing Full-Codebook Security: A Refined Analysis of Key-Length Extension Schemes Peter Gazi, Jooyoung Lee, Yannick Seurin, John Steinberger, and Stefano Tessaro FSE 2015 Poly-Many Hardcore Bits for Any One-Way Function and a Framework for Differing-Inputs Obfuscation Mihir Bellare, Igors Stepanovs, and Stefano Tessaro ASIACRYPT 2014 The Locality of Searchable Symmetric Encryption David Cash and Stefano Tessaro EUROCRYPT 2014 Bounded-Collusion Identity-Based Encryption from Semantically-Secure Public-Key Encryption: Generic Constructions with Short Ciphertexts Stefano Tessaro and David A. Wilson PKC 2014 On the Relationship between Functional Encryption, Obfuscation, and Fully Homomorphic Encryption Joel Alwen, Manuel Barbosa, Pooya Farshim, Rosario Gennaro, S. Dov Gordon, Stefano Tessaro, and David A. Wilson Cryptography and Coding 2013 Bounds on Inference Flavio Calmon, Mayank Varia, Muriel Medard, Mark Christiansen, Ken Duffy, and Stefano Tessaro Allerton 2013 Amplification of Chosen-Ciphertext Security [ MIT News ] Huijia Lin and Stefano Tessaro EUROCRYPT 2013 Communication Locality in Secure Multi-Party Computation: How to Run Sublinear Algorithms in a Distributed Setting Elette Boyle, Shafi Goldwasser, and Stefano Tessaro. TCC 2013 An Equational Approach to Secure Multi-Party Computation Daniele Micciancio and Stefano Tessaro. ITCS 2013 Multi-Instance Security and its Application to Password-Based Cryptography Mihir Bellare, Thomas Ristenpart, and Stefano Tessaro CRYPTO 2012 Semantic Security for the Wiretap Channel [ Video ] Mihir Bellare, Stefano Tessaro, and Alexander Vardy CRYPTO 2012 This paper combines the following two works: A Cryptographic Treatment of the Wiretap Channel (with M. Bellare and A. Vardy) and Polynomial-Time, Semantically-Secure Encryption Achieving the Secrecy Capacity (with M. Bellare). To Hash or Not to Hash Again? (In)differentiability Results for H and HMAC Yevgeniy Dodis, Thomas Ristenpart, John Steinberger, and Stefano Tessaro CRYPTO 2012 Efficient and Optimally Secure Key-Length Extension for Block Ciphers via Randomized Cascading Peter Gazi and Stefano Tessaro EUROCRYPT 2012 The Equivalence of the Random Oracle Model and the Ideal Cipher Model, Revisited Thomas Holenstein, Robin Knzler, and Stefano Tessaro STOC 2011 Security Amplification for the Cascade of Arbitrarily Weak PRPs: Tight Bounds via the Interactive Hardcore Lemma Stefano Tessaro TCC 2011 - Best student paper award. Invited to the Journal of Cryptology. Random Oracles With(out) Programmability Marc Fischlin, Anja Lehmann, Thomas Ristenpart, Thomas Shrimpton, Martijn Stam, and Stefano Tessaro ASIACRYPT 2010 A Hardcore Lemma for Computational Indistinguishability: Security Amplification for Arbitrarily Weak PRGs with Optimal Stretch Ueli Maurer and Stefano Tessaro TCC 2010 A Modular Design for Hash Functions: Towards Making the Mix-Compress-Mix Approach Practical Anja Lehmann and Stefano Tessaro ASIACRYPT 2009 Computational Indistinguishability Amplification: Tight Product Theorems for System Composition Ueli Maurer and Stefano Tessaro CRYPTO 2009 Abstract Storage Devices Robert Koenig, Ueli Maurer, and Stefano Tessaro SOFSEM 2009 Full version available at http://www.arxiv.org/abs/0706.2746 . Basing PRFs on Constant-Query Weak PRFs: Minimizing Assumptions for Efficient Symmetric Cryptography Ueli Maurer and Stefano Tessaro ASIACRYPT 2008 Domain Extension of Public Random Functions: Beyond the Birthday Barrier Ueli Maurer and Stefano Tessaro CRYPTO 2007 Full version available from http://eprint.iacr.org/2007/229 . Optimal Resilience for Erasure-Coded Byzantine Distributed Storage Christian Cachin and Stefano Tessaro DSN 2006 Asynchronous Verifiable Information Dispersal Christian Cachin and Stefano Tessaro SRDS 2005 Manuscripts Petros Mol and Stefano Tessaro Secret-Key Authentication Beyond the Challenge-Response Paradigm: Definitional Issues and New Protocols Manuscript. Dec 2012. Stefano Tessaro Computational Indistinguishability Amplification PhD Dissertation. ETH Zurich. Oct 2010. diff --git a/src/data/compiled_bios/3874.txt b/src/data/compiled_bios/3874.txt new file mode 100644 index 0000000000..82b5479eeb --- /dev/null +++ b/src/data/compiled_bios/3874.txt @@ -0,0 +1 @@ + I am a Professor of Computer Science & Engineering and an Adjunct Professor of Genome Sciences at the University of Washington . My research group is Computational & Synthetic Biology . My research interests are in computational molecular biology, with emphases on biological sequence analysis, regulatory analysis, and comparative genomics. Some of my lecture notes and published research articles are available online. Brief biography: I graduated from Harvard University in 1974 and received my Ph.D. in Computer Science from the University of Toronto in 1978. For the next 7 years I was here, on the Computer Science faculty at the University of Washington, where I received a Presidential Young Investigator Award in 1984, the inaugural year for these awards. From 1985 to 1989 I was on the staff of the IBM Research Division at the Thomas J. Watson Research Center and became manager of its Theory of Computation group. In 1989, I rejoined the Computer Science faculty at UW, and in 1998 and 1999 I received the first two annual ACM Undergraduate Teaching Awards. In 2001 I became Adjunct Professor of Genome Sciences, and from 2009 to 2013 I was Director of the UW's interdisciplinary Ph.D. program in Computational Molecular Biology . diff --git a/src/data/compiled_bios/3875.txt b/src/data/compiled_bios/3875.txt new file mode 100644 index 0000000000..f63ce6b2e4 --- /dev/null +++ b/src/data/compiled_bios/3875.txt @@ -0,0 +1 @@ + Emina Torlak: About Emina Torlak About Papers Blog Associate Professor UNSAT and PLSE research groups Paul G. Allen School of Computer Science & Engineering emina CSE 596 CV GitHub DBLP GoogleScholar Research My research aims to help people create better software more easily. I develop new languages and tools for computer-aided verification and synthesis of software. My collaborators and I apply these techniques to all kinds of systems, from radiotherapy machines to K-12 algebra tutors. A lot of our work is based on Rosette , a new language that makes it easy to create efficient tools for program verification, synthesis, and more . News 01/28/19 Our paper on data movement synthesis for GPU kernels will appear at ASPLOS 2019 . 09/07/18 Our paper on symbolic profiling won a Distinguished Artifact Award at OOPSLA 2018 . 08/24/18 Released Rosette 3.0 : new performance engineering tools and new solvers! See all posts . Students James Bornholt , PhD Sorawee Porncharoenwase , PhD Jacob Van Geffen , PhD Eric Butler , PhD, 2018 Vimala Jampala, MS , 2015 Teaching CSE 507: 19wi , 18sp , 17wi , etc. CSE 311: 18au CSE 403: 16au , 16wi , 15sp CSE 599 A2: 15wi CS294: 12au Service IFIP WG 2.3 member PLDI 2020 Program Chair OOPSLA 2019 RC PLDI 2019 PC 2018 and earlier 2014-2019 Emina Torlak. All rights reserved. Built with Jekyll and bib2sx . Last updated 29 Jan 2019. diff --git a/src/data/compiled_bios/3876.txt b/src/data/compiled_bios/3876.txt new file mode 100644 index 0000000000..3ded3400f6 --- /dev/null +++ b/src/data/compiled_bios/3876.txt @@ -0,0 +1 @@ +My research interests are in building secure and reliable systems. For further information, please see my personal homepage . diff --git a/src/data/compiled_bios/3877.txt b/src/data/compiled_bios/3877.txt new file mode 100644 index 0000000000..3156c1e176 --- /dev/null +++ b/src/data/compiled_bios/3877.txt @@ -0,0 +1 @@ +Yuliang Wang is a Research Assistant Professor in the Department of Computer Science & Engineering and a Core Faculty of the Institute for Stem Cell & Regenerative Medicine (ISCRM) at the University of Washington. Yuliang received his B.S. in Bioengineering from Tianjin University in China in 2009. He earned his Ph.D. in Chemical and Biomolecular Engineering and M.S. in Applied Statistics from the University of Illinois, Urbana-Champaign in 2013. He was a post-doctoral researcher at Sage Bionetworks, a private research institute for open biomedical research, in 2013-2014. In 2014-2016, he worked as a senior research associate in the Computational Biology Program in Oregon Health & Science University. He joined at UW CSE in summer 2016. diff --git a/src/data/compiled_bios/3878.txt b/src/data/compiled_bios/3878.txt new file mode 100644 index 0000000000..84b5d29c1f --- /dev/null +++ b/src/data/compiled_bios/3878.txt @@ -0,0 +1 @@ +Daniel S. Weld is Thomas J. Cable / WRF Professor in the Paul G. Allen School of Computer Science & Engineering and Entrepreneurial Faculty Fellow at the University of Washington . After formative education at Phillips Academy , he received bachelor's degrees in both Computer Science and Biochemistry at Yale University in 1982. He landed a Ph.D. from the MIT Artificial Intelligence Lab in 1988, received a Presidential Young Investigator's award in 1989, an Office of Naval Research Young Investigator's award in 1990, was named AAAI Fellow in 1999 and deemed ACM Fellow in 2005. Dan was a founding editor for the Journal of AI Research , was area editor for the Journal of the ACM , guest editor for Computational Intelligence and Artificial Intelligence , and was Program Chair for AAAI -96. Dan has published two books and scads of technical papers . diff --git a/src/data/compiled_bios/3879.txt b/src/data/compiled_bios/3879.txt new file mode 100644 index 0000000000..d4b5b4ddcf --- /dev/null +++ b/src/data/compiled_bios/3879.txt @@ -0,0 +1 @@ + Brett Wortzman's Home Page Welcome! This website is currently under construction diff --git a/src/data/compiled_bios/388.txt b/src/data/compiled_bios/388.txt new file mode 100644 index 0000000000..6961f5df5c --- /dev/null +++ b/src/data/compiled_bios/388.txt @@ -0,0 +1 @@ +Name: Prabhakaran, B.:: Position: Professor(CS, CE, & TE):: Degrees: Ph.D.,Department of Computer Science & Engineering, IndianInstitute of Technology, Madras @ Chennai, 600 036, India, 1995; M.S., Department of Computer Science & Engineering, Indian Institute ofTechnology, Chennai, (formerly, Madras) 600 036, India, 1990; B.E., Electronics & Communication, Madurai-Kamaraj University, 1986; diff --git a/src/data/compiled_bios/3880.txt b/src/data/compiled_bios/3880.txt new file mode 100644 index 0000000000..2679f7eaa1 --- /dev/null +++ b/src/data/compiled_bios/3880.txt @@ -0,0 +1 @@ + John Zahorjan John Zahorjan "Because that's what you do!" J R Contact Information Short Bio Research Interests Summary Recent Research Projects Awards, Honors, and Achievements Software Tools Quantitative System Performance: Computer System Analysis Using Queueing Network Models , a 1984 Text on Performance Analysis Contact Information Department of Computer Science & Engineering Box 352350 CSE 101 [Required for express mail deliveries only] University of Washington Seattle, WA 98195-2350 (206) 543-0101 voice (206) 543-2969 FAX zahorjan@cs.washington.edu Short Bio John Zahorjan, Professor, graduated from Brown University in 1975 and received a Ph.D. from the University of Toronto in 1980. He received an NSF Presidential Young Investigator Award in 1984. Research Interests Summary System security; streaming media multicast distribution techniques; distributed real-time rendering; performance evaluation; multi-media applications. Recent Research Projects Streaming Media Multicast Delivery Techniques Multicast delivery schedules for on-demand and near-live delivery of streaming media (e.g., audio and video). The schedules explicitly minimize the server disk and network bandwidth required to serve a set of clients, and so indirectly reduce network load. Bandwidth Skimming: A Technique for Cost-Effective Video-on-Demand , Derek Eager, Mary Vernon, and John Zahorjan, Multimedia Computing and Networking 2000 (MMCN00) , San Jose, CA, Jan. 25-27, 2000. Optimal and Efficient Merging Schedules for Video-on-Demand Servers , Derek Eager, Mary Vernon, and John Zahorjan, Proc. 7th ACM Multimedia Conf. (Multimedia '99) , Orlando, FL, Oct. 30 - Nov. 5, 1999. Minimizing Bandwidth Requirements for On-Demand Data Delivery , Derek Eager, Mary Vernon, and John Zahorjan, Proc. 5th Int'l. Workshop on Multimedia Information Systems (MIS '99) , Indian Wells, CA, October 21-23, 1999. (Award paper; forwarded to a journal.) Distributed 3D Real-time Rendering at Washington (with Thu Nguyen ) The goal of this work is to investigate system policies to support distributed, real-time 3D rendering. The work evolves from our previous experience in parallel and distributed system scheduling. In contrast to that work, though, the application(s) to be supported are real-time (rather than the long running, scientific applications typically studied in this area), with a VRML browser being the focus of our prototype implementation. Additionally, in contrast to most existing work on distributed rendering, we employ the graphics acceleration hardware on multiple nodes, as well as CPU, memory, and network bandwidth. Image Layer Decomposition for Distributed Rendering on NOWs, Thu Nguyen and John Zahorjan, Proc. 2000 International Parallel and Distributed Processing Symposium , Cancun, Mexico, May 1-5, 2000. Abstract from NSF Proposal Scheduling Policies to Support Distributed 3D Multimedia Applications , Thu D. Nguyen and John Zahorjan. Proc. Sigmetrics/Performance '98 , June 1998. (An extended version is available as Technical Report UW-CSE-97-11-03 , University of Washington. [PDF, 321KB]) Parallel System Scheduling (with Cathy McCann , Thu Nguyen , and Raj Vaswani ) Processor and memory scheduling policy development and evaluation for both shared-memory and message passing parallel processors. List of publications Compiler Techniques for Improving Memory Locality (with Ruth Anderson and Shun-tak Leung ) Completed work evaluates the effectiveness of array restructuring to improve locality. Array restructuring chooses a layout for multi-dimensional arrays in physical memory that is intended to match the access pattern exhibited by the code. It is a natural complement to control restructuring (e.g., tiling), with the advantage that array restructuring can be applied even when a dependence analysis cannot be performed. Current work focuses on improving the execution time of sequential portions of a parallel program through the use of software controlled prefetching. List of publications Run-Time Parallelization (with Shun-tak Leung ) How to efficiently determine a parallel schedule at execution time for loops that cannot be parallelized statically. List of publications Run-Time Support for Space-Based Applications (with Immaneni Ashok ) Space-based applications are typified by the "particles in space" problem, in which the goal is to simulate the effect of mutual forces on a set of particles operating in a 2D or 3D space. Our work developed both techniques to support development of parallel programs for this class of application and a prototype run-time system implementing them. List of publications Support for Mobile Applications (with George Forman ) Runtime support for applications that access global resources and must deal with variable levels of available service. A specific example is mobile applications, which may experience variable and unpredictable bandwidth. List of publications diff --git a/src/data/compiled_bios/3881.txt b/src/data/compiled_bios/3881.txt new file mode 100644 index 0000000000..45f68df593 --- /dev/null +++ b/src/data/compiled_bios/3881.txt @@ -0,0 +1 @@ + Bio I am an Associate Professor in the Allen School of Computer Science & Engineering at the University of Washington . I am also a PECASE Awardee and an Allen Distinguished Investigator . Previously, I did postdoctoral research at the University of Edinburgh and was a Ph.D. student at MIT. Research My current research is in the intersections of natural language processing, machine learning, and decision making under uncertainty. I am particularly interested in designing learning algorithms for recovering representations of the meaning of natural language text. For more research details, please see my publications . Recent Teaching Winter 2018: Introduction to Artificial Intelligence (CSE 473) Spring 2016: Introduction to Artificial Intelligence (CSE 473) Winter 2016: Artificial Intelligence (CSEP 573) Students ( Alumni ) Terra Blevins Eunsol Choi (Co-advised with Yejin Choi ) Chris Clark Srinivasan Iyer (Co-advised with Alvin Cheung ) Mandar Joshi (Co-advised with Dan Weld ) Julian Michael Sewon Min (Co-advised with Hannaneh Hajishirzi ) Victor Zhong Postdocs Gabriel Stanovsky Jesse Thomason Mark Yatskar Announcements Julian created a QA-SRL website that contains the QA-SRL Bank 2.0 data and an online parser demo. Please have a look! Congratulations to Nicholas, Julian, and Luheng for winning a best paper honorable mention award for Large-Scale QA-SRL Parsing at ACL 2018 ! Congratulations to Luheng, Kenton, and Omer for winning a best short paper honorable mention award for Jointly Predicting Predicates and Arguments in Neural Semantic Role Labeling at ACL 2018 ! Matt released code and pretrained models for ELMo . Please give it a try! Congratulations to Matt and team for winning a best paper award for Deep Contextualized Word Representations at NAACL 2018 ! Congratulations to Srini for winning an outstanding paper award for Learning to Map Context-Dependent Sentences to Executable Formal Queries at NAACL 2018 ! Although I wasn't involved in this work, I am always excited to highlight the achievements of group members (especially in a team with alumni)! We launched AllenNLP , a new open-source NLP research library built on PyTorch. AllenNLP includes reference models for an (ever growing) range of NLP tasks and infrastructure to make it easy to develop new deep learning approaches. Please give it a try! Congratulations to Mark for winning a best paper award for Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints at EMNLP 2017 ! Although I wasn't involved in the work, I am excited to help publicize Mark's contributions to this important research! Congratulations to Kenton and Mike for winning a best paper award for Global Neural CCG Parsing with Optimality Guarantees at EMNLP 2016 ! Congratulations to Yoav and Kenton for winning a best paper award for Broad-coverage CCG Semantic Parsing with AMR at EMNLP 2015 ! diff --git a/src/data/compiled_bios/3882.txt b/src/data/compiled_bios/3882.txt new file mode 100644 index 0000000000..1bb0dab9fa --- /dev/null +++ b/src/data/compiled_bios/3882.txt @@ -0,0 +1 @@ + Kobus Barnard Home Page Best URL for linking to this page: http://kobus.ca My email: kobus AT cs DOT arizona DOT edu UA office: Gould-Simpson 708 Office hours: MF 9:15-9:45 and by appointment Lab : Interdisciplinary Visual Intelligence (IVILAB) Teaching: Current [ CS 535 ] | All courses taught Reload this page for different images I am a professor of computer science at the University of Arizona . My primary appointment is with Computer Science . I also have an appointment with Electrical and Computer engineering (ECE) , and serve as faculty for Cognitive Science , Statistics , and BIO5 , Before coming to Arizona, I was a post doctoral fellow in computer vision at the University of California at Berkeley. I did my Ph.D. in computer science at Simon Fraser University , specializing in colour constancy . My research interests include image and video understanding, learning and fitting models of biological form, the application of computer vision to the organization and effective use of large image collections, and physics based vision problems such as understanding scene illumination. IVILAB News Recent IVILAB news July 11, 2016 Congratulations to Kyle Simek for getting his paper "Branching Gaussian Processes with Applications to Spatiotemporal Reconstruction of 3D Trees," accepted to ECCV 2016. His coauthors are Ravishankar Palanivelu and Kobus Barnard . April 22, 2016 IVILAB lead, Kobus Barnard , has finally finshed his book "Computational methods for integrating vision and language," (Synthesis Lectures on Computer Vision, April 2016, 227 pages, Morgan & Claypool) April 19, 2016 Congratulations to four IVILAB students for successfully defending their dissertations in the period from April 14 to April 19. In chronological order: Andrew Predoehl : A Statistical Model of Recreational Trails Kyle Simek : Branching Gaussian Process Models for Computer Vision Jinyan Guan : Bayesian Generative Modeling for Complex Dynamical Systems Yekaterina Kharitonova : Geometry of Presentation Videos and slides, and the Semantic Linking of Instructional Content (SLIC) System More news Research CAREER Projects Affiliations Collaborators Publications Data Software Demos Ugrad research Local Resources Seminars Reading lists (restricted) Wiki (restricted) More resources Outreach Integration of Science and Computing Summer Camp 2012 (2011) (2010) (2009) (2008) Adventures diff --git a/src/data/compiled_bios/3883.txt b/src/data/compiled_bios/3883.txt new file mode 100644 index 0000000000..b390daa44a --- /dev/null +++ b/src/data/compiled_bios/3883.txt @@ -0,0 +1 @@ + Left Home Research Teaching Travel Music About Right About Surreptitious Software ISSISP Summer School SSP Workshop Diversification Secure Provenance Reproducibility Publications Older Projects My main research interest is computer security, in particular the so-called Man-At-The-End Attack which occurs in settings where an adversary has physical access to a device and compromises it by tampering with its hardware or software. My current research interests include remote man-at-the-end attacks which occur in distributed systems where untrusted clients are in frequent communication with trusted servers over a network, and a malicious user can get an advantage by compromising an untrusted device; man-at-the-end security of Provenance Systems , where we are building a system to protect provenance chains in documents, in particular OpenOffice; repeatability in Computer Systems research. Recent Grants August 2011---August 2013, Mitigating Insider Attacks in Provenance Systems , National Science Foundation Grant CNS-1318955, $496,066, PI: Christian Collberg, co-PIs: Sudha Ram, Saumya K. Debray. September 2011---August 2013, Man-at-the-End Attacks: Defenses and Evaluation , National Science Foundation Grant CNF-1145913, $269,649, PI: Christian Collberg, co-PIs: Saumya Debray, Loukas Lazos. October 2009---September 2013, Theoretical and Practical Approaches to Remote White-Box Security , United States--Israel Binational Science Foundation grant BSF-2008362, $90,684, PI: Amir Hertzberg (Bar Ilan University, Israel), co-PIs: Christian Collberg, Shafi Goldwasser (MIT and Weizmann Institute). Recent Students David Christy Patrick P.F. Chan (Postdoc) Sam Martin (Masters) Alex Warren (Undergraduate) Keith Alcock (Research Programmer) With Jasvir Nagra, I am the author of the first comprehensive textbook on software protection, Surreptitious Software: Obfuscation, Watermarking, and Tamperproofing for Software Protection, published in Addison-Wesley's computer security series. Surreptitious Software has also been translated into Portuguese and Chinese: Publications Christian Collberg, Jasvir Nagra, Surreptitious Software --- Obfuscation, Watermarking, and Tamperproofing for Software Protection, Addison-Wesley Software Security Series, Editor: Gary McGraw, 792 pages, ISBN: 0-321-54925-2, August 2009. buy Christian Collberg, Jasvir Nagra, Sub-Reptcio Software - Ofuscamento, Aplicao de Marcas Dgua e Resistncia a Alteraes para Proteo de Software, 832 pages, ISBN: 8573939117, 2010, Brazilian Portuguese Translation of Surreptitious Software. buy Christian Collberg, Jasvir Nagra, Simplified Chinese Translation of Surreptitious Software. The ACM/DAPA International Summer School on Information Security and Protection (ISSISP) is held yearly, alternating between Asia, Europe, and the Americas. Beijing, China, 2010 Ghent, Belgium, 2011 Tucson, Arizona, 2012 Xi'an, China, 2013 Verona, Italy, 2014 Scientific Advisory Board Christian Collberg (University of Arizona, USA) Jack Davidson (University of Virginia, USA) Roberto Giacobazzi (Universit di Verona, Italy) Yuan Xiang Gu (Irdeto, Canada) The Software Security and Protection Workshop has run three times, in 2011 in Beijing, China , in 2012 in Beijing, China (invited speakers: Dawn Song and Dusko Pavlovic), and in 2014 in Scottsdale, Arizona (invited speakers: Amit Sahai and Moti Yung). In the Tigress project we are studying diversity-based defenses against Remote Man-At-The-End (R-MATE) attacks. These attacks occur in distributed systems where untrusted clients are in frequent communication with trusted servers over a network, and malicious users can get an advantage by compromising an untrusted device. Currently, the Tigress backend (the diversifying C virtualizer/obfuscator) is available for download here . R-MATE vulnerabilities occur in a variety of settings, including The Advanced Metering Infrastructure} (AMI) for controlling the electrical power grid, where networked devices ( smart meters ) are installed at individual house-holds to allow two-way communication with control servers of the utility company. In an R-MATE attack against the AMI, a malicious consumer tampers with the meter to emulate an imminent blackout, or to trick a control server to send disconnect commands to other customers. MMOGs (massive multiplayer online games) are susceptible to R-MATE attacks since a malicious player who tampers with the game client can get an advantage over other players. Wireless sensors are often deployed in unsecured environments (such as theaters of war) where they are vulnerable to tampering attempts. A compromised sensor could be coached into supplying the wrong observations to a base station, causing real-world damage. Electronic health records (EHR) are typically protected by encryption while stored in databases and in transit to doctors' offices, but they are vulnerable to R-MATE attack if an individual doctor's client machine is compromised. In our system, the trusted server overwhelms the untrusted client's analytical abilities by continuously and automatically generating and pushing to him diverse client code variants. The diversity subsystem employs a set of primitive code transformations that provide an ever-changing attack target for the adversary, making tampering difficult without this being detected by the server. Grants Tigress is supported through the following grants: September 2011---August 2013, Man-at-the-End Attacks: Defenses and Evaluation , National Science Foundation Grant CNF-1145913, $269,649, PI: Christian Collberg, co-PIs: Saumya Debray, Loukas Lazos. October 2009---September 2013, Theoretical and Practical Approaches to Remote White-Box Security , United States--Israel Binational Science Foundation grant BSF-2008362, $90,684, PI: Amir Hertzberg (Bar Ilan University, Israel), co-PIs: Christian Collberg, Shafi Goldwasser (MIT and Weizmann Institute). Publications Patrick P.F. Chan, Christian Collberg, A Method to Evaluate CFG Comparison Algorithms QSIC'2014. pdf Christian Collberg, Sam Martin, Jonathan Myers, Jasvir Nagra, Distributed application tamper detection via continuous software updates, ACSAC'12. Collaborators Sam Martin Jonathan Myers Jasvir Nagra In the Haathi project we are studying the design of a secure provenance management system for documents kept on cloud storage systems. Our system supports collaboration on documents by authorized individuals, and maintains detailed provenance records of the documents. Provenance meta data allows the recovery of information about the sequence of significant events relevant to history of the documents. Our goal is to design a system that is practical and holistic, addressing major considerations which are often discussed in isolation, including security, privacy, usability and efficiency. Our design provides a practical solution for provenance of documents co-authored via not-fully-trusted cloud systems, with support for provenance of both exposure and editing events. More information about the project can be found here . Collaborators David Christy Amir Herzberg Haya Shulman Sudha Ram Saumya Debray Supporting Grants and Contracts August 2011---August 2013, Mitigating Insider Attacks in Provenance Systems , National Science Foundation Grant CNS-1318955, $496,066, PI: Christian Collberg, co-PIs: Sudha Ram, Saumya K. Debray. October 2009---September 2013, Theoretical and Practical Approaches to Remote White-Box Security , United States--Israel Binational Science Foundation grant BSF-2008362, $90,684, PI: Amir Hertzberg (Bar Ilan University, Israel), co-PIs: Christian Collberg, Shafi Goldwasser (MIT and Weizmann Institute). In this project we investigate the extent to which Computer Science researchers share their code and data, and the extent to which this code will build with reasonable effort. More information is available here. Collaborators Todd Proebsting Alex Warren Publications Patrick P.F. Chan, Christian Collberg, A Method to Evaluate CFG Comparison Algorithms QSIC'2014. pdf Christian Collberg, Sam Martin, Jonathan Myers, Jasvir Nagra, Distributed application tamper detection via continuous software updates, ACSAC'12. pdf Christian Collberg, Defeating Real Bad Guys in a Virtual World, Arizona Star Science Supplement, December 11, 2011. pdf Paolo Falcarin, Christian Collberg, Mikhail J. Atallah, Mariusz H. Jakubowski, Guest Editors' Introduction: Software Protection, IEEE Software, Volume 28, Number 2, pp. 24--27, 2011. pdf Christian Collberg, The Case for Dynamic Digital Asset Protection Techniques, IRDETO Whitepaper, pdf , June 2011. Christian Collberg, Jack Davidson, Roberto Giacobazzi, Yuan Xiang Gu, Amir Herzberg, Fei-Yue Wang, Toward Digital Asset Protection, IEEE Intelligent Systems, Volume 26, Number 6, pp. 8--13, 2011. pdf Christian Collberg, Clark Thomborson, Software Watermarking Techniques, US Patent Application, 2011/0214188, Assignee: University of Auckland, Filed November 15, 2010. pdf Christian Collberg, Jasvir Nagra, Surreptitious Software --- Obfuscation, Watermarking, and Tamperproofing for Software Protection, Addison-Wesley Software Security Series, Editor: Gary McGraw, 792 pages, ISBN: 0-321-54925-2, August 2009. buy Christian Collberg, Andrew Huntwork, Edward Carter, Gregg Townsend, Michael Stepp, More on graph theoretic software watermarks: Implementation, analysis, and attacks, Information and Software Technology, Volume 51, Number 1, January 2009. pdf Mariano Ceccato, Mila Dalla Preda, Jasvir Nagra, Christian Collberg, Paolo Tonella, Trading-off Security and Performance in Barrier Slicing for Remote Software Entrusting, Automated Software Engineering, Volume 16, Number 2, pp. 235--261, 2009. pdf Christian Collberg, Jasvir Nagra, Sub-Reptcio Software - Ofuscamento, Aplicao de Marcas Dgua e Resistncia a Alteraes para Proteo de Software, 832 pages, ISBN: 8573939117, 2010, Brazilian Portuguese Translation of Surreptitious Software. buy Christian Collberg, Jasvir Nagra, Simplified Chinese Translation of Surreptitious Software. Changjiang Zhang, Jianmin Wang, Clark D. Thomborson, Chaokun Wang, Christian Collberg, A Semi-dynamic Multiple Watermarking Scheme for Java Applications, Digital Rights Management Workshop, pp. 59--72, 2009. pdf M. Ceccato, M. Dalla Preda, J. Nagra, Christian Collberg, P. Tonella, Barrier Slicing for Remote Software Trusting, 7th IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM'07), pp, 27-36, IEEE Computer Society Press. October 2007. pdf Christian Collberg, Michael Stepp, Ginger Myles, An Empirical Study of Java Bytecode Programs, Software --- Practice & Experience, Volume 37, Number 6, pp: 581 - 641, May 2007. pdf Christian Collberg, Clark Thomborson, Gregg M. Townsend, Dynamic Graph-Based Software Fingerprinting, ACM Transactions of Programming Languages and Systems, Volume 29, Number 6, October 2007. pdf Michael Stepp, Christian Collberg, Browser Toolbars, Book chapter, in, Phishing and Countermeasures: Understanding the Increasing Problem of Electronic Identity Theft, Editors Markus Jakobsson and Steve Myers, Wiley, 2007, ISBN: 0-471-78245-9. buy Christian Collberg, Jasvir Nagra, Fei-Yue Wang, Surreptitious Software: Models from Biology and History, Fourth International Conference on Mathematical Methods, Models, and Architectures for Computer Network Security, (MMM-ACNS 2007), Communications in Computer and Information Science, Volume 1, Computer Network Security, Springer, 2007, pp. 1-21. pdf Ginger Myles, Christian Collberg, Software Watermarking via Opaque Predicates: Implementation, Analysis, and Attacks, Electronic Commerce Research Journal, Volume 6, Number 2, pp. 155-171, 2006. pdf Jan Camenisch, Christian Collberg, Neil F. Johnson, Phil Sallee (Editors), 8th International Workshop of Information Hiding (IH 2006), Springer LNCS 4437, ISBN 978-3-540-74123-7, July 10-12, 2006. buy Ginger Myles, Christian Collberg, k-gram Based Software Birthmarks, Proceedings of the 2005 ACM Symposium on Applied Computing, Computer Security Track, pp. 314-318, 2005. pdf Christian Collberg, Stephen Kobourov, Self-Plagiarism in Computer Science, Communications of the ACM, April 2005. pdf Christian Collberg, Tapas Sahoo, Software Watermarking in the Frequency Domain: Implementation, Analysis, and Attacks, Journal of Computer Security, Volume 13, Number 5, 721--755, 2005. pdf Ginger Myles, Christian Collberg, Zachary Heidepriem, Armand Navabi, The evaluation of two software watermarking algorithms, Software - Practice and Experience Volume 35, Number 10, pp 923-938, 2005. pdf Christian Collberg, John H. Hartman, Sridivya Babu, Sharath K. Udupa, Slinky: Static Linking Reloaded, Usenix, 2005. pdf C. M. Linn, M. Rajagopalan, S. Baker, Christian Collberg, S. K. Debray, J. H. Hartman, Protecting Against Unexpected System Calls, Usenix Security, 2005. pdf Christian Collberg, Edward Carter, Saumya Debray, Andrew Huntwork, John Kececioglu, Cullen Linn, Michael Stepp, Dynamic Path-Based Software Watermarking, ACM Programming Languages Design and Implementation (PLDI), 2004. pdf Christian Collberg, Todd Proebsting, Problem identification using program checking, Discrete Applied Mathematics, Volume 144, Number 3,pp. 270--280, 2004. pdf Richard T. Snodgrass, Shilong Yao, Christian Collberg, Tamper Detection in Audit Logs, International Conference on Very Large Data Bases (VLDB), 2004. pdf Christian Collberg, Andrew Huntwork, Edward Carter, Gregg Townsend, Graph Theoretic Software Watermarks: Implementation, Analysis, and Attacks, 6thInformation Hiding Workshop, 2004. pdf Ginger Myles, Christian Collberg, Software Watermarking via Opaque Predicates: Implementation, Analysis, and Attack, The Seventh International Conference on Electronic Commerce Research (ICECR-7), June 2004. pdf Kelly Heffner, Christian Collberg, The Obfuscation Executive, 7th Information Security Conference (ISC'04), September 2004. pdf Ginger Myles, Christian Collberg, Detecting Software Theft via Whole Program Path Birthmarks, 7th Information Security Conference (ISC'04), September 2004. pdf Christian Collberg, Stephen Kobourov, Suzanne Westbrook, AlgoVista: an algorithmic search tool in an educational setting, Technical Symposium on Computer Science Education (SIGCSE), pp. 462-466, March 2004. acm Christian Collberg, Stephen Kobourov, Jasvir Nagra, Jacob Pitts, Kevin Wampler, A System for Graph-Based Visualization of the Evolution of Software, ACM symposium on Software visualization (Softvis), 2003. pdf Christian Collberg, Ginger Myles, Andrew Huntwork, Sandmark--A Tool for Software Protection Research, IEEE Security & Privacy, Volume 1, Number 4, pp. 40--49, 2003. pdf Christian Collberg, Stephen Kobourov, Steven Kobes, Ben Smith, Stephen Trush, Gary Yee, TetraTetris: an Application of Multi-User Touch-Based Human-Computer Interaction, 9th IFIP International Conference on Human-Computer Interaction (INTERACT), 2003. pdf Christian Collberg, Edward Carter, Stephen Kobourov, Clark Thomborson, Error-Correcting Graphs for Software Watermarking, 29th Workshop on Graph Theoretic Concepts in Computer Science (WG'2003), June 2003. pdf Christian Collberg, Stephen Kobourov, Joshua Louie, Thomas Slattery, SPLAT: A System for Self-Plagiarism Detection, IADIS International Conference WWW/Internet (ICWI 2003), pp. 508-514, November 2003. pdf Ginger Myles, Christian Collberg, Software Watermarking Through Register Allocation: Implementation Analysis, and Attacks, 6th Annual International Conference on Information Security and Cryptology (ICISC), November 2003. springer Christian Collberg, Clark Thomborson, Douglas Low, Obfuscation techniques for enhancing software security, United States Patent 6,668,325, Assignee: InterTrust Technologies (Santa Clara, CA), Filed June 9, 1998, Issued December 23, 2003. pdf Christian Collberg, A Fuzzy Visual Query Language for a Domain-Specific Web Search Engine, Diagrammatic Representation and Inference, Second International Conference (DIAGRAMS'02), 18-20 April 2002, LNAI 2317. pdf Christian Collberg, Automatic Derivation of Compiler Machine Descriptions, ACM Transactions on Programming Languages and Systems, Volume 24, Number 4, July 2002, pp. 369--408. pdf Christian Collberg, Clark Thomborson, Watermarking, Tamper-Proofing, and Obfuscation -- Tools for Software Protection, IEEE Transactions on Software Engineering, Volume 28, Number 8, pp. 735--746, August 2002, This paper was among the most cited journal articles in software engineering from 2002 based on a citation study conducted by Prof. Claes Wohlin , pdf Jasvir Nagra, Clark Thomborson, Christian Collberg, A Functional Taxonomy for Software Watermarking, Twenty-Fifth Australasian Computer Science Conference (ACSC'2002), January 2002. pdf Christian Collberg, Todd A. Proebsting, Problem Classification using Program Checking, Fun with Algorithms (FUN '01), May 29--31, 2001. pdf Christian Collberg, Sean Davey, Todd Proebsting, Language-Agnostic Program Rendering for Presentation, Debugging and Visualization, IEEE Symposium on Visual Languages (VL'2000), September 2000. pdf Christian Collberg, Clark Thomborson, Software Watermarking --- Models and Dynamic Embeddings, ACM Principles of Programming Languages (POPL'99), January 1999. pdf Christian Collberg, Clark Thomborson, and Douglas Low, Manufacturing Cheap, Resilient, and Stealthy Opaque Constructs, ACM Principles of Programming Languages (POPL'98), January 1998. pdf (scanned) , pdf (clean) Christian Collberg, Clark Thomborson, Douglas Low, Breaking Abstractions and Unstructuring Data Structures, IEEE International Conference on Computer Languages (ICCL'98), May 1998. pdf Christian Collberg, Automatic Derivation of Machine Descriptions, Proceedings of the Twentieth Australasian Computer Science Conference, February 1997. pdf Christian Collberg, Reverse Interpretation + Mutation Analysis = Automatic Re" targeting, ACM SIGPLAN Conference on Programming Language Design and Implementation, (PLDI'97), June 1997. pdf Christian Collberg, Distributed High-Level Module Binding for Flexible Encapsulation and Fast Inter-Modular Optimization, International Conference on Programming Languages and Systems Architectures, LNCS 782, March 1994. pdf Christian Collberg, Flexible Encapsulation, Ph.D. Thesis, Lund University, December 1992. pdf(A4) , pdf(letter) , bibtex . Christian Collberg, Data Structures, Algorithms, and Software Engineering, 3rd SEI Conference on Software Engineering Education, LNCS 376, July 1989. pdf Christian Collberg, Magnus Krampell, Design and Implementation of Modular Languages Supporting Information Hiding, 6th International Phoenix Conference on Computers and Communications, February 1987. Christian Collberg, Magnus Krampell, A Property-Based Method for Selecting Among Multiple Implementations of Modules, 1st European Software Engineering Conference, LNCS 289, September 1987. acm SandMark SandMark is a tool developed at the University of Arizona for software watermarking, tamperproofing, birthmarking, and code obfuscation of Java bytecode. The tool incorporates several dynamic and static watermarking algorithms, a large collection of obfuscation algorithms, a code optimizer, and tools for viewing and analyzing Java bytecode. The SandMark website is here . The latest version of the SandMark tool is here: sandmark.jar . Publications Christian Collberg, Clark Thomborson, Gregg M. Townsend, Dynamic Graph-Based Software Fingerprinting, ACM Transactions of Programming Languages and Systems, Volume 29, Number 6, October 2007. pdf Ginger Myles, Christian Collberg, Software Watermarking via Opaque Predicates: Implementation, Analysis, and Attacks, Electronic Commerce Research Journal, Volume 6, Number 2, pp. 155-171, 2006. pdf Ginger Myles, Christian Collberg, k-gram Based Software Birthmarks, Proceedings of the 2005 ACM Symposium on Applied Computing, Computer Security Track, pp. 314-318, 2005. pdf Christian Collberg, Tapas Sahoo, Software Watermarking in the Frequency Domain: Implementation, Analysis, and Attacks, Journal of Computer Security, Volume 13, Number 5, 721--755, 2005. pdf Ginger Myles, Christian Collberg, Zachary Heidepriem, Armand Navabi, The evaluation of two software watermarking algorithms, Software - Practice and Experience Volume 35, Number 10, pp 923-938, 2005. pdf Christian Collberg, Edward Carter, Saumya Debray, Andrew Huntwork, John Kececioglu, Cullen Linn, Michael Stepp, Dynamic Path-Based Software Watermarking, ACM Programming Languages Design and Implementation (PLDI), 2004. pdf Christian Collberg, Andrew Huntwork, Edward Carter, Gregg Townsend, Graph Theoretic Software Watermarks: Implementation, Analysis, and Attacks, 6thInformation Hiding Workshop, 2004. pdf Ginger Myles, Christian Collberg, Software Watermarking via Opaque Predicates: Implementation, Analysis, and Attack, The Seventh International Conference on Electronic Commerce Research (ICECR-7), June 2004. pdf Kelly Heffner, Christian Collberg, The Obfuscation Executive, 7th Information Security Conference (ISC'04), September 2004. pdf Ginger Myles, Christian Collberg, Detecting Software Theft via Whole Program Path Birthmarks, 7th Information Security Conference (ISC'04), September 2004. pdf Christian Collberg, Ginger Myles, Andrew Huntwork, Sandmark--A Tool for Software Protection Research, IEEE Security & Privacy, Volume 1, Number 4, pp. 40--49, 2003. pdf Christian Collberg, Edward Carter, Stephen Kobourov, Clark Thomborson, Error-Correcting Graphs for Software Watermarking, 29th Workshop on Graph Theoretic Concepts in Computer Science (WG'2003), June 2003. pdf Ginger Myles, Christian Collberg, Software Watermarking Through Register Allocation: Implementation Analysis, and Attacks, 6th Annual International Conference on Information Security and Cryptology (ICISC), November 2003. springer Christian Collberg, Clark Thomborson, Douglas Low, Obfuscation techniques for enhancing software security, United States Patent 6,668,325, Assignee: InterTrust Technologies (Santa Clara, CA), Filed June 9, 1998, Issued December 23, 2003. pdf Christian Collberg, Clark Thomborson, Watermarking, Tamper-Proofing, and Obfuscation -- Tools for Software Protection, IEEE Transactions on Software Engineering, Volume 28, Number 8, pp. 735--746, August 2002, This paper was among the most cited journal articles in software engineering from 2002 based on a citation study conducted by Prof. Claes Wohlin , pdf Christian Collberg, Clark Thomborson, Software Watermarking --- Models and Dynamic Embeddings, ACM Principles of Programming Languages (POPL'99), January 1999. pdf Christian Collberg, Clark Thomborson, and Douglas Low, Manufacturing Cheap, Resilient, and Stealthy Opaque Constructs, ACM Principles of Programming Languages (POPL'98), January 1998. pdf (scanned) , pdf (clean) Christian Collberg, Clark Thomborson, Douglas Low, Breaking Abstractions and Unstructuring Data Structures, IEEE International Conference on Computer Languages (ICCL'98), May 1998. pdf Supporting Grants and Contracts September 1, 2000--August 1, 2004, $265,000 from the NSF: Software Watermarking, Obfuscation, and Tamper-Proofing for Software Protection , grant CCR-0073483. June 2002, $417,000 (Option/Year 1) + $417,000 (Option/Year 2), Air Force Research Lab (AFRL): Protecting Software Against Tampering and Reverse Engineering , contract F33615-02-1146. Splat Self-plagiarism occurs when an author reuses portions of their previous writings in subsequent research papers. Occasionally, the derived paper is simply a re-titled and reformatted version of the original one, but more frequently it is assembled from bits and pieces of previous work. It is our belief that self-plagiarism is detrimental to scientific progress and bad for our academic community. Flooding conferences and journals with near-identical papers makes searching for information relevant to a particular topic harder than it has to be. It also rewards those authors who are able to break down their results into overlapping least-publishable-units over those who publish each result only once. Finally, whenever a self-plagiarized paper is allowed to be published, another, more deserving paper, is not. You can read more about Splat here . Collaborators Stephen Kobourov Publications Christian Collberg, Stephen Kobourov, Self-Plagiarism in Computer Science, Communications of the ACM, April 2005. pdf Christian Collberg, Stephen Kobourov, Joshua Louie, Thomas Slattery, SPLAT: A System for Self-Plagiarism Detection, IADIS International Conference WWW/Internet (ICWI 2003), pp. 508-514, November 2003. pdf Automatic Retargeting There are three popular methods for constructing highly retargetable compilers: (1) the compiler emits abstract machine code which is interpreted at run-time, (2) the compiler emits C code which is subsequently compiled to machine code by the native C compiler, or (3) the compiler's code-generator is generated by a back-end generator from a formal machine description produced by the compiler writer. These methods incur high costs at run-time, compile-time, or compiler-construction time, respectively. We're interested in a fourth method which combines the fast retargeting of C code generating compilers with the efficiency of specification-driven code generators. The basic idea is to use the native C compiler at compiler construction time to discover architectural features of the new architecture. From this information a formal machine description is produced. Given this machine description, a native code-generator can be generated by a back-end generator such as BEG or burg. You can download the tool here . Publications Christian Collberg, Automatic Derivation of Compiler Machine Descriptions, ACM Transactions on Programming Languages and Systems, Volume 24, Number 4, July 2002, pp. 369--408. pdf Christian Collberg, Reverse Interpretation + Mutation Analysis = Automatic Re" targeting, ACM SIGPLAN Conference on Programming Language Design and Implementation, (PLDI'97), June 1997. pdf Christian Collberg, Automatic Derivation of Machine Descriptions, Proceedings of the Twentieth Australasian Computer Science Conference, February 1997. pdf Code Rendering ART is a language-independent and specification-driven program rendering tool that is able to produce high-quality code renderings of arbitrary complexity. The tool can incorporate arbitrary types of information together with the program code, allowing it to be used for debugging and profiling as well as for producing beautiful renderings of programs for publication. You can download the tool here and the README file here . Collaborators Todd Proebsting Publications Christian Collberg, Sean Davey, Todd Proebsting, Language-Agnostic Program Rendering for Presentation, Debugging and Visualization, IEEE Symposium on Visual Languages (VL'2000), September 2000. pdf AlgoVista AlgoVista is a web-based search engine designed to allow applied computer scientists to classify problems and find algorithms and implementations that solve these problems. Unlike other search engines, AlgoVista is not keyword based. Rather, users provide a set of input=>output samples that describe the behavior of the problem they wish to classify. This type of query-by-example requires no knowledge of specialized terminology, only an ability to formalize the problem. The search mechanism of AlgoVista is based on a novel application of program checking, a technique developed as an alternative to program verification and testing. You can download the tool here . Collaborators Todd Proebsting Stephen Kobourov Publications Christian Collberg, Stephen Kobourov, Suzanne Westbrook, AlgoVista: an algorithmic search tool in an educational setting, Technical Symposium on Computer Science Education (SIGCSE), pp. 462-466, March 2004. acm Christian Collberg, Todd A. Proebsting, Problem Classification using Program Checking, Fun with Algorithms (FUN '01), May 29--31, 2001. pdf Christian Collberg, Stephen Kobourov, Suzanne Westbrook, AlgoVista: an algorithmic search tool in an educational setting, Technical Symposium on Computer Science Education (SIGCSE), pp. 462-466, March 2004. acm Flexible Encapsulation Most modular programming languages provide an encapsulation concept. Such concepts are used to protect the representational details of the implementation of an abstraction from abuse by its clients. Unfortunately, strict encapsulation is hindered by the separate compilation facilities provided by modern languages. The goal of the work presented here is to introduce techniques which allow modular languages to support both separate compilation and strict encapsulation without undue translation-time or execution-time cost. You can download the tool here . Publications Christian Collberg, Distributed High-Level Module Binding for Flexible Encapsulation and Fast Inter-Modular Optimization, International Conference on Programming Languages and Systems Architectures, LNCS 782, March 1994. pdf Christian Collberg, Flexible Encapsulation, Ph.D. Thesis, Lund University, December 1992. Christian Collberg, Magnus Krampell, Design and Implementation of Modular Languages Supporting Information Hiding, 6th International Phoenix Conference on Computers and Communications, February 1987. About Teaching Evaluations 340 Found. of Comp. Sys. 372 Comp. Prog. Lang. 453 Compilers & Sys. SW 520 Princ. of Prog. Lang. 553 Princ. of Compilation 620 Surreptitious Software 466/566 Computer Security I have taught at Lund University in Sweden, for five years at the University of Auckland, New Zealand, and since 1999 at the University of Arizona, USA. I have taught in both Swedish and in English. I typically teach classes on Computer Security, Compilers, and Programming Languages. I view Computer Science as an applied, experimental, utilitarian science whose ultimate goal it is to create artifacts that improve peoples' lives. Our goal as Computer Science Educators should therefore be to provide students with a set of mental tools (theoretical as well as practical) that will allow them to construct such artifacts, in a manner that ensures safety, efficiency, and robustness. In my pedagogical mission I therefore subscribe to the following two principles: Students of Computer Science must be given a good grounding in basic, universal skills that will serve them well throughout their working lives. Students must be trained in building real systems, and how to use these systems to test theoretical hypotheses under real world conditions. Publications Christian Collberg, Stephen Kobourov, Suzanne Westbrook, AlgoVista: an algorithmic search tool in an educational setting, Technical Symposium on Computer Science Education (SIGCSE), pp. 462-466, March 2004. acm Christian Collberg, Data Structures, Algorithms, and Software Engineering, 3rd SEI Conference on Software Engineering Education, LNCS 376, July 1989. pdf Teaching Evaluations Official University of Arizona Evaluations Rate My Professor Humorous Student Quotes This class requires a ridiculous amount of work. (372) Holy shit math. (466/566) [I] like [how] unstructured it [the class] is (makes it not boring). (466/566) Most CS students don't have the soft hands needed for lockpicking. (466/566) CSc 340 Foundations of Computer Systems teaches the different levels of abstraction in a computing system, assembly language programming, the basics of low-level systems software, hardware components of a system, and how these components interact with each other. The class page for 2001 is here . Lecture notes can be found here . Topics Hardware foundations: basic machine organization, instruction fetch cycle, number systems and encodings, CPU operations. Assembly language using MIPS as an example: syntax, operations and operands, using registers, control flow, addressing. Program execution: Subroutines and stack, activation records/stack frames, calling conventions, parameter passing. Dynamic storage (heap) management: data structures, malloc/free/realloc. Assembling: structure, dealing with forward and external references, symbol tables. Linking: object files, resolving external references, loading. Operating systems: paging, user/supervisor mode, interrupts, traps and exceptions, concurrency and mutual exclusion. Learn to program in C and use Unix. CSc 372 Comparative Programming Languages studies several modern programming languages and the programming paradigms that each language strives to accommodate. Functional programming is studied with Haskell. Logic programming is studied with Prolog. Ruby is studied to provide an alternative perspective on traditional procedural programming. For each language we will study data types, control structures, syntax and semantics, idiomatic constructs, translation into executable units, and the run-time environment. An emphasis of the course will be to understand the design philosophy of each language and how that philosophy is exhibited in the elements of the language. The class page for 2009 is here . Lecture notes can be found here . CSc 453 Compilers and Systems Software covers the design and implementation of translator-oriented systems programs, especially compilers. Topics covered include lexical analysis, top down and bottom up parsing, syntax-directed code generation, and code generation. In particular, we learn how compilers are constructed, how programming languages are designed, how to compile procedural and object-oriented languages, and how interpreters, garbage collectors, and debuggers work. The class page for 2009 is here . Lecture notes can be found here . Topics lexing: The Chomsky hierarchy, regular expressions, DFAs, scanner implementation. parsing: Context-free grammars, BNF, parse trees, abstract syntax trees, Recursive Descent parsing. semantic analysis: Attribute grammars, environments, type-checking. intermediate representations: stacks, tuples, trees, intermediate-code generation from abstract syntax trees. code generation: control-flow graphs, code generation for arithmetic expressions, data-structure access, control-flow, and procedure calls. code optimization: survey of techniques, peephole optimization. code optimization: data-flow analysis, common sub-expression elimination, inlining. object-orientation: compiling Java-like languages, run-time class templates, inheritance. garbage collection: reference counting, pointer-maps, mark-and-sweep. systems software: debuggers, profilers. CSc 520 Principles of Programming Languages defines, analyzes and evaluates important concepts found in current programming languages. Its goals are to build an ability to evaluate and compare programming languages, both from the user's and implementor's view, and to develop precise mechanisms for specifying the semantics of programming languages. The class page for 2011 is here . Lecture notes can be found here . Topics scope of objects and time of binding module mechanisms (e.g., blocks, procedures, coroutines) data abstraction, datatypes control structures storage management and runtime support operational, denotational, and axiomatic semantic specification; attribute grammars applicative and object-oriented languages CSc 553 Principles of Compilation considers advanced topics in compilation. Emphasis will be placed on advanced topics in code generation, register allocation, and optimization. The class page for 2011 is here . Lecture notes can be found here . Topics interpretation: Instruction sets, fast interpreter implementation. fancy programming constructs: Exception handling, garbage collection, iterators, modules, object oriented language features. code generation: Instruction selection, register allocation, instruction scheduling, peephole optimization. program analysis: Alias and shape analysis, dependence analysis, data-flow analysis, control-flow analysis, type hierarchy analysis. code optimization: Global optimization, memory hierarchy optimizations, inlining. scientific code: FORTRAN, parallel computers, parallelizing compilers. CSc 620 Surreptitious Software studies how to protect programs against intellectual property violations through obfuscation, watermarking, tamperproofing, birthmarking, and hardware protection. The class page for 2008 is here . Lecture notes can be found here . CSc 466/566 Computer Security is an introductory course covering the fundamentals of computer security. In particular, the course covers basic concepts of computer security such as threat models and security policies, and shows how these concepts apply to specific areas such as communication security, software security, operating system security, network security, web security, and hardware-based security. The class page for 2012 is here . Lecture notes can be found here . Topics Communication security: cryptography and cryptographic protocols, including encryption, message authentication codes, hash functions, one-way functions, public-key cryptography, digital signatures, cryptographic protocols. Software security: secure software engineering, defensive programming, control-flow hijacking attacks (buffer overflows, format string bugs, integer overflows, heap attacks), exploitation techniques (string analysis, fuzzing, bug finding), analysis of code for security errors, safe languages, sandboxing techniques, and tools for writing secure code. Operating system security: memory protection, access control, authorization, authenticating users (something you know, something you have, something you are, password cracking. Network security: firewalls, port scanning attacks, intrusion detection systems, denial of service attack and defense, VPNs. Malware: worms, spyware, rootkits, botnets, key-loggers, and defenses against them. Web security: same-origin policy, cross-site scripting attacks, SQL injection attacks. Hardware-based security: The trusted computing architecture and its applications. Intellectual property protection: digital rights management, copy protection, software tamper-resistance. Advanced topics: privacy, mobile code, electronic voting, phishing, cybercrime, cyber-terrorism, financial security, spam, covert channels. NEW: Ukraina Asia North Africa Middle East Central America Oceania Europe North America South America Favorites Videos China Beijing, 2006-2007 Beijing, winter-spring 2009 Guandong, 2007 Jiangsu, 2007 Yunnan, 2007 Hebei, 2008 Shanxi, July 2008 Xinjiang, July 2008 Sichuan, July 2009 Shanghai, July 2009 Mongolia Mongolia, 2010 Georgia Georgia, 2013 Vietnam Vietnam 2011 Japan Japan 2013 Morocco Morocco 2012 Israel Israel 2010 Israel 2013 Jordan Jordan 2013 Guatemala Guatemala New Zealand Auckland Waiheke Sweden Landskrona Italy Trento, Verona, Venezia 2006 Trento, Verona, Venezia 2007 Trento, Verona, Venezia 2008 Trento, Bassano de Grappa 2009 2010 Ireland Dublin 2009 Germany Berlin 2009 Austria Austria 2009 Luxemburg Luxemburg 2013 Russia Moscow 2014 Belarus Minsk 2014 Ukraine Kiev 2014 Mexico Mexico United States DC Brazil Brazil play 00:00 00:59 Insanely multilingual Kyrgistan students on the Lanzhou-Urumqi train by Christian Collberg previous play pause next stop mute unmute max volume full screen restore screen shuffle shuffle off repeat repeat off Insanely multilingual Kyrgistan students on the Lanzhou-Urumqi train by Christian Collberg Auckland, New Zealand by Christian Collberg Call to Prayer, Jerusalem, Israel by Christian Collberg Girl playing the Erhu in Urumqi, Xinjiang, China by Christian Collberg Uighur dancing in Ren Min Gong Yuan, Urumqi, Xinjiang, China by Christian Collberg Walk through Landskrona, Sweden by Christian Collberg Walk through Borstahusen, Landskrona, Sweden by Christian Collberg Walk through Landskrona, Sweden by Christian Collberg Walk through Citadellet, Landskrona, Sweden by Christian Collberg Karneval 2006, Landskrona, Sweden by Christian Collberg Walk through Landskrona, Sweden by Christian Collberg Update Required To play the media you will need to either update your browser to a recent version or update your Flash plugin . About Undecidables Older Music Pictures I've played the guitar, written songs, and recorded music since I was a teenager. I currently play with my garage band The Undecidables . Bandmates Stephen Kobourov (bass guitar) Michael Hammer (drums) Igor Crk (lead guitar) play pause stop mute unmute max volume 00:00 02:55 repeat repeat off Drug of Choice by The Undecidables (W/M: Collberg, Kobourov, Hammer, Crk) In Meiner Kuche (W/M: Collberg, Kobourov, Hammer, Crk) by The Undecidables Angelina by The Undecidables (W/M: Collberg) Update Required To play the media you will need to either update your browser to a recent version or update your Flash plugin . Bandmates Stefan Nilsson play pause stop mute unmute max volume 00:00 03:55 repeat repeat off Tonight by Collberg and Nilsson (W/M: Collberg) Farwell by Collberg and Nilsson (W/M: Collberg) News Travels Fast by Collberg and Nilsson (W/M: Collberg) Update Required To play the media you will need to either update your browser to a recent version or update your Flash plugin . About me Pictures Videos Contact Recipes FAQ Credits I'm a Professor in the Department of Computer Science at the University of Arizona. Prior to arriving in Tucson I worked at the University of Auckland, New Zealand, and before that I got my Ph.D. from Lund University, Sweden. I have also held a visiting position a the Chinese Academy of Sciences in Beijing, China. My main research interest is computer security, in particular the so-called Man-At-The-End Attack which occurs in settings where an adversary has physical access to a device and compromises it by tampering with its hardware or software. With Jasvir Nagra, I am the author of the first comprehensive textbook on software protection, Surreptitious Software: Obfuscation, Watermarking, and Tamperproofing for Software Protection, published in Addison-Wesley's computer security series. It has also been translated into Portuguese and Chinese. play 00:00 04:04 CC sucking at Chinese, Beijing 2010 by Christian Collberg previous play pause next stop mute unmute max volume full screen restore screen shuffle shuffle off repeat repeat off CC sucking at Chinese, Beijing 2010 by Christian Collberg CC's avatar sucking at Chinese in CHN404 by Christian Collberg Update Required To play the media you will need to either update your browser to a recent version or update your Flash plugin . Office: Room 756 7th floor Gould-Simpson Building Address: P.O. Box 210077, 1040 E. Fourth St., Tucson, AZ 85721-0077. Phone: (520) 621-6612 Fax: (520) 621-4246 Email: collberg@cs.arizona.edu I enjoy cooking and baking, in particular cakes and pastries. Below are some of my favorite recipes. Budapest Cake Ingredients 4 dl sugar. 2 dl egg whites (4-6 eggs). 150 g ground hazel nuts. 1-2 tsp cocoa. 1 dl white flour. 1 tsp vanilla. 1 - 1.5 cans (300 g) of Mandarin Orange Sections. 3 dl whipped cream. Procedure Whip egg whites. Keep whipping while adding the sugar, a little at a time. Mix nuts, flour, cocoa, and vanilla. Carefully fold the nut mixture into the egg batter. Cover a baking tray with baking paper. Fill a large piping bag with the batter. Pipe the batter onto the paper in rows like this: +-------------------------------------+ | | | ================================= | | ================================= | | ================================= | | ================================= | | ================================= | | ================================= | | ================================= | | ================================= | | ================================= | | | +-------------------------------------+ Bake for 20 minutes at 175C. Let cool. Store in refrigerator for a few hours or over night. Decoration Remove baking paper from bottom of cake. Spread whipped cream over bottom of cake. Place mandarin orange sections evenly on top of the cream. Roll up the cake. Sacher Torte Ingredients 225 g dark chocolate 1.5 dl almonds 225 g butter 3 dl sugar 6 egg yolks 1.5 dl white flour 1.5 tsp baking powder 6 egg whites Icing and filling 200 g dark chocolate 1/2 Tbs cooking oil Apricot jam Procedure Set oven to 175C. Melt chocolate. Blanch, peel and grind almonds. Mix with the flour and baking powder. Blend sugar and butter until white and fluffy. Add egg yolks, one at a time, to butter-sugar mixture. Stir in melted chocolate. Stir in almond mixture. Whip egg whites to hard foam and fold in. Pour batter into baking pan lined with baking paper. Bake for 30-45 minutes. Let cool. Split in two and spread apricot jam in between. Melt chocolate and spread over cake. Let cool. Serve cold with whipped cream. Swedish Pancakes Ingredients 2.5 dl flour (approximately 1 US cup). 6 dl milk (approximately 2.5 US cups). 3 eggs. 50g butter (approximately 1.5oz). 1/2 tea spoon salt. Batter Melt butter and let cool to room temperature. Mix flour and salt in a bowl. Slowly pour in half the milk and blend until smooth . Slowly pour in the remaining milk and blend. Blend in the eggs, one at a time. Blend in the melted butter. Frying Heat pancake-skillet. On a scale from 1 to 10, the stove should be at around 6. Melt some butter in the skillet. When hot, pour in approximately 1dl of the batter, just enough to cover the pan. Tilt the pan so the batter is spread out uniformly. When brown, flip over. Swedish Meatballs Ingredients 500 g (18 oz) ground beef 500 g (18 oz) ground pork 5 dl (2 1/2 cup) milk 3 dl (1 1/2 cup) white breadcrumbs 2 eggs 1 onion Batter Soak the breadcrumbs in the milk for about 10 minutes. Blend the ground meats together. Finely mince the onion and mix into the meat together with eggs and spices. Blend in the milk/breadcrumb mixture. Shape small meatballs with the aid of two spoons and place on water-rinsed plates. Frying Brown a generous pat of butter in a frying pan, and when it ``goes quiet'' place the meatballs (about 7 at a time) in the pan and let them brown on all sides. Put the meatballs aside until they are all browned. Mix a little water into the pan to make a broth. Put meatballs back in pan and let slowly cook until done, about 10 minutes. Semlor Ingredients 8g dried yeast (25g fresh) 100g butter 2.5dl milk 1 egg 2ml salt 2ml salt of hartshorn 1dl sugar 7dl flour Dough Melt butter, mix with milk, heat to fingerwarm, add sugar and egg. Mix flour, salt, yeast, and salt of hartshorn. Mix flour mixture into liquid, work into a dough. Let rise for 30 minutes. Roll into 16 buns. Let rise for 50-60 minutes. Bake for 8 minutes at 210C/410F. Let cool covered on a rack. Filling 200g almonds 1dl granulated sugar 1dl powdered sugar 4dl whipping cream Almond Paste Blanch and peel almonds. Run almonds, granulated sugar, and powdered sugar in a food processor until fine. Add small amount of liquid (milk, cream, or water) until mixture makes a smooth dough. Refridgerate. Finishing Cut lid off bun. Remove small amount of inside of the bun. Mix with almond paste and small amount of milk until smooth. Fill bun with whipped cream and almond mixture. Kakan med choklad i Ingredients 150g butter 2.5 dl sugar 2 eggs 1.5 dl flour 1 dl cocoa 1 tsp vanilla sugar 100g dark chocolate Procedure Blend sugar and butter until white and fluffy. Add one egg at a time. Mix flour, cocoa, and vanilla sugar, and blend into the butter mixture. Spread into a 20x30cm pan. Bake for 20 minutes at 175C. Chop the chocolate and put on top of cake. Bake for another 5 minutes. Spread the melted chocolate with a fork. Let cool. Kllarfranska Ingredients 25g fresh yeast 13dl cold water 1dl oil 2 Tbs salt 2kg white flour Procedure (in the evening) Break up yeast into large bowl Add water, let stand for 3 minutes. Add oil, salt, almost all flour. Knead, cover, and let stand in fridge until next day. Procedure (in the morning) Cut dough into 4 parts Cut each part into 12 buns. Sprinkle flour over the buns, and let rise covered for 2-3 hours. Heat oven to 275C. Bake for 8-10 minutes. Let cool uncovered. Kuvertbrd Ingredients 50g fresh yeast 100g butter 4dl milk 1 tsp salt 1 Tsp sugar 1 egg 1ml salt of hartshorn 750g white flour 1 egg and poppy seeds for decoration Procedure Melt the butter, add milk, and warm to 37C. Pour over the fresh yeast. Add egg, salt, sugar, most of the flour that has been mixed with the salt of hartshorn. Knead, cover, let rise for 30 minutes. Work the dough on the table, cut into 30 pieces, form into cool shapes. Let rise for 30 minutes. Brush with egg, sprinkle with poppy seeds. Bake at 225C (440F) for 7 minutes. Basket bread Ingredients (Day 1) 4dl water 3dl rye flour Procedure (Day 1) Boil the water, pour over the flour. Work into a dough. Sprinkle flour over the dough, cover the bowl with plastic wrap, let stand until the next day. Ingredients (Day 2) 4dl 37C water 50g yeast 1 tsp salt 11-12 dl white flour 1dl rye flour (for the baskets) Procedure (Day 2) Pour the warm water over the rye dough. Sprinkle the fresh yeast on top of the dough, and disolve. Add the salt. Work in the white flour, except for 1dl. 10 minutes, slowest speed, on a bread mixer. Cover, let rise for 60 minutes. Make two loaves, put lots of rye flour in the baskets, put the loaves in, let rise covered for 30-45 minutes. Carefully put the loaves on baking trays, remove the baskets. Bake for 60 minutes at 175C. Mandelmusslor Ingredients 200g butter 1dl sugar 3.5dl (210g) flour 1 egg 100g ground almonds 2 ground bitter almonds Procedure Mix all ingredients on the baking table. Let cool in fridge. Push pieces into forms that have been carefully buttered. Bake at 200C (400F) for about 10 minutes, fairly low in the oven. Makes 35-40. Pepparmyntspastiller Ingredients 200g sugar 0.75 dl water 150g powdered sugar A few drops peppermint oil Procedure Mix sugar and water and let boil for no more than 1 minute. Let cool somewhat and add powdered sugar and peppermint oil. Make into circles on parchment paper. If the batter gets hard, add a few drops of water, and reheat. If the batter is too soft, add more powdered sugar. Let cool, and put a dab of melted chocolate on each circle. Rimbobullar Ingredients (dough) 25g yeast 2dl cold milk 200g butter, room temperature 1 Tbs sugar 6dl flour Ingredients (filling) 75g butter 1.5 Tbs sugar 2 tsp vanilla sugar Ingredients (decoration) 1 egg pearl sugar Procedure Disolve fresh yeast in some of the milk. Add the rest of the milk, butter, sugar, some of the flour. Mix into a soft dough, and add remaining flour. Put lots of flour on the baking table, and pour out the dough. Put some flour on the dough and pat into a rectangle. Roll gently using a rolling pin to a 40cm x 35cm rectangle. Cut into 7cm x 7cm squares. Mix butter, sugar, vanilla sugar and put a dab on each square. Fold the corners to the middle, press, put each bun into a paper muffin cup, let rise for 2 hours at room temperature. Brush with egg, sprinkle pearl sugar on top. Bake at 250C (480F) in the middle of the oven for 5-10 minutes. Let cool under a towel. Scones Ingredients 100g butter (frozen or very cold) 8 dl flour 4 tsp baking powder 1 tsp salt 3 dl milk Procedure Mix flour, salt, and baking powder. Quickly cut up the butter in the flour, by hand or in a blender. After blending, the butter should be no more than pea-sized. Add milk, and quickly make into a dough. Divide in four parts, make each into a ball, flatten, and score to make a cross. Bake at 250C (480F) for about 10 minutes. Break into pieces, and let cool on a rack. Q: Why is your website so dark and gray and dreary? A: It is a reflection of my soul. All design, text, scripts, images, and media copyright Christian Collberg, unless otherwise noted. All rights reserved. The site was implemented by Marcel Folaron at Colibris . Additional code by Jasvir Nagra. Photo Credits Andrew Collberg Bart Coppens Anders Wetterling diff --git a/src/data/compiled_bios/3884.txt b/src/data/compiled_bios/3884.txt new file mode 100644 index 0000000000..b81ee3b859 --- /dev/null +++ b/src/data/compiled_bios/3884.txt @@ -0,0 +1 @@ + Home Teaching Research Publications Saumya K. Debray Professor Office: Gould-Simpson 735 Phone: (+1) 520-621-4527 Fax: (+1) 520-621-4246 E-mail: Research Interests: Software security, malware analysis, software protection; program analysis and optimization, with a focus on post-compile-time code optimization. Biography Saumya Debray is Professor of Computer Science at The University of Arizona, where he has been a faculty member since August 1986. Prior to this, he received a B.Tech. (Hons.) degree in Electronics and Electrical Communications Engineering from the Indian Institute of Technology, Kharagpur, in 1981; and M.S. and Ph.D. degrees in computer science, from the State University of New York at Stony Brook, in 1983 and 1986 respectively. Saumya's research interests are primarily in the area of compilers and language implementation, focusing primarily on low-level program analysis, transformation, and optimization. He is currently working on software security and malware analysis in the context of the lynx project. In whatever spare time he can scrounge up, Saumya enjoys hiking and backpacking [ pictures ; prose ]. diff --git a/src/data/compiled_bios/3885.txt b/src/data/compiled_bios/3885.txt new file mode 100644 index 0000000000..36807d8d06 --- /dev/null +++ b/src/data/compiled_bios/3885.txt @@ -0,0 +1 @@ + Benjamin Dicken Courses Projects Writing Github LinkedIn StackOverflow Curriculum Vitae bddicken AT gmail DOT com diff --git a/src/data/compiled_bios/3886.txt b/src/data/compiled_bios/3886.txt new file mode 100644 index 0000000000..81fdaf7d5b --- /dev/null +++ b/src/data/compiled_bios/3886.txt @@ -0,0 +1 @@ + Alon Efrat Alon Efrat Office: Room 742 Department of Computer Science Gould-Simpson Building The University of Arizona Tucson AZ 85721-0077 Office: (520) 626-8047 ; Fax (520) 621-4246 Skype: alontucson ; Email: alon @cs.arizona.edu I am an Associate Professor at the Computer Science Department at the University of Arizona. I won the NSF CAREER award (2004), to work on "Pattern Matching, Realistic Input Models and Sensor Placement. Useful Algorithms in Computational Geometry." I am on the editorial board of IJCGA and of JDA . I was a program committee member of SoCG05 , SoCG13 , Broadnets06 , 07 , 08 , 09 , ICC WAS ACM GIS 2007 , 08, 09, 11,12, 13,14, 15, 16, 18, ALGOSENSORS 08 and 11, FOCS 09 , INFOCOM 09 10 and 11, MILCOM 14 ,15. DRCN 15 , 16 , VISIGRAPP 15 . I was the co-chair of the sensor network algorithms track of ALGOSENSORS14 and a co-organizers of the workshop on Geometric Optimization in Wireless Communication and Sensing , in conjunction with SoCG 14 . Teaching CSc445 Algorithms link. See TCE comments from Fall16 here and from Spring17 are here Previously taught courses Research Publications ( chronologically ), Publications ( by subjects ), CV, and my H-Index on Google Scholar The SLIC video browsing system. Media Network Protection and vulnerability here Astroid Detection TEDx Tucson Salon (Oct 2013) its abstract, and the talk. Students Jesus Arango, (Cisco Systems) Swaminathan Sankararaman (Akamai) Qiyam Tung (Amazon) Quick Links We are working on ways to schedule the motion of a swarm of UAV sweeping terrains looking for moving targets. See the demos here and here , and read the papers here and here. Qiyam Tung created a great youtube clip presenting some of our work on context-driven text expansion and its applications to the educational video browsing SLIC project . Check our Codpon Project in Brazil. Javad Taheri wrote cool applets for basestation location problems ( here ). diff --git a/src/data/compiled_bios/3887.txt b/src/data/compiled_bios/3887.txt new file mode 100644 index 0000000000..0bcdd50099 --- /dev/null +++ b/src/data/compiled_bios/3887.txt @@ -0,0 +1 @@ + Home Teaching Research Publications Students Chris Gniady Associate Professor Office: Gould-Simpson 730 Phone: (520) 621-4317 Fax: (520) 621-4246 E-mail: gniady@cs.arizona.edu Biography I am an Associate Professor in the Department of Computer Science at the University of Arizona. I received my Ph.D. in Electrical and Computer Engineering from Purdue University in 2005. I have also received my B.S. degree in Electrical and Computer Engineering from Purdue University in 1997. My research interests include operating systems, multiprocessor architecture, and architectural support for operating systems. diff --git a/src/data/compiled_bios/3888.txt b/src/data/compiled_bios/3888.txt new file mode 100644 index 0000000000..a52393c507 --- /dev/null +++ b/src/data/compiled_bios/3888.txt @@ -0,0 +1 @@ + Home Teaching Research CV Publications Software John H. Hartman Associate Professor Office: Gould-Simpson 747 Hours: 1-2 W and 10-11 Th Phone: 621-2733 Fax: 621-4246 E-mail: jhh@cs.arizona.edu Biography John is an Associate Professor in the Department of Computer Science at the University of Arizona . He received his Ph.D. in Computer Science from the University of California at Berkeley in 1994, his M.S. in Computer Science from the same place in 1990, and his Sc.B. in Computer Science from Brown University in 1987. His research is in the areas of distributed computing, operating systems, storage systems, and computer networks. diff --git a/src/data/compiled_bios/3889.txt b/src/data/compiled_bios/3889.txt new file mode 100644 index 0000000000..a985bcf0cf --- /dev/null +++ b/src/data/compiled_bios/3889.txt @@ -0,0 +1 @@ + Katherine E. Isaacs Home Publications Teaching PerfVis Survey CV Contact UA email: kisaacs ACM email: kisaacs External Links Google Scholar Project Websites NSF III-1656958: Dependency Visualization NSF IIS-1844573: Systems Graphs Visualization Project Code Roundtrip CFGExplorer Ravel graphterm Boxfish About I am an assistant professor at the University of Arizona. My interests are at the intersection of data visualization and computing systems. I develop new methods of representing complex computing processes for exploration and analysis of their behavior, with applications to high performance computing, distributed computing, data science, program analysis, and optimization. I maintain a survey of such visualizations here . Projects Traveler - Visualization for Asynchronous Many Task Models Phylanx - Distributed Array Toolkit Parallel trace visualization relies heavily on Gantt charts. However, asynchronous runtimes operate on very large task graphs. In collaboration with the Ste||ar group at LSU and the APEX project at University of Oregon, we are re-thinking (visual) performance analysis from the runtime, through the instrumentation, to the analysis and visual tools. We are targeting both runtime experts as well as application scientists. This is in conjunction with the Phylanx project, building a distributed array toolkit targetting several data science applications. See also: HPX Website Control Flow Graphs and Dynamic Traces, with Science Up To Par (s2par): Language Agnostic Optimization of Scientific Data Analysis Codes Parallelizing scientific and data analysis applications can require significant engineering effort. For in-development applications and frequently altered data analysis scripts especially, the time commitment is a significant barrier to the gains of parallelization. Science Up To Par applies dynamic binary analysis and specialization to automatically parallelize scientific applications in a language-independent manner. This project is in collaboration with Michelle Strout and Saumya Debray . In support of these efforts, as part of the NSF-funded Dependencies Visualization project, we are developing visual tools for analyzing control flow graphs and dynamically collected instruction traces. This material is based upon work supported by the National Science Foundation under Grant No. NSF III-1656958 . Visualizing Dependencies Project Website s2par Project Overview - LCPC 2017 CFGExplorer - EuroVis 2018 | CFGExplorer on Github Ravel - Parallel Execution Trace Visualization Traces are records of actions occurring during a program's execution, such as function calls and communication. They are a powerful tool in performance analysis as they can contain the detailed data necessary to reconstruct exactly what occurred. However, understanding traces is difficult due to the huge number of actions and relationships among all processes. As such, timeline visualizations are frequently employed to explore the data. Unfortunately, timelines become cluttered and difficult to interpret for even moderate numbers of processes. Ravel focuses on increasing the scalability and utility of trace visualizations via a structure-centric approach which approximates the developers' intended organization of trace events. Visualizing this logical structure untangles communication patterns, allows aggregation in process space, and provides users with much needed context. Analyses using Ravel have led to the discovery and understanding of performance issues in several massively parallel applications. Visualization - InfoVis '14 | Ravel on github Logical structure (MPI) - TPDS 2016 | Logical structure (Charm++) - SC15 Boxfish - Linking Domains and Network Visualization Numerous factors, such as the placement of specific tasks in the hardware, their timing data, and functions of multiple tasks, affect the performance of parallel applications. Boxfish was developed to support visualizing these relationships. Boxfish manages complex filtering of data and linking of visualizations, even when these relationships are not direct or bijective. Several network visualization modules have been developed for Boxfish, including multiple views of 3D torus/mesh networks and a 5D torus/mesh. Analysis using these visualizations in Boxfish has aided in understanding the interactions of task assignment and the underlying system network for both individual applications and the interactions of several applications on a shared system. Boxfish on github | Boxfish poster abstract - SC12 Visualization Modules 3D torus visualization - InfoVis '12 | 5D torus visualization - VPA '14 Applications Task mapping - SC12 | Job placement - SC13 | Task mapping, 5D torus - HiPC '14 Scalable Communication Visualization Traditional statistical plots and graphics for performance analysis may prove ineffective because they do not show data in the most meaningful context. For one library, this meant mapping performance data to its communication overlay. The communication graph grows as the application uses increasing numbers of parallel processes. This requires a visualization that aggregates intelligently to scale with that parallism while still depicting behaviors of interest. Novels Views - SC12 diff --git a/src/data/compiled_bios/389.txt b/src/data/compiled_bios/389.txt new file mode 100644 index 0000000000..c2597ef511 --- /dev/null +++ b/src/data/compiled_bios/389.txt @@ -0,0 +1 @@ +Name: Prakash, Ravi:: Position: Professor (CS, Hobson Wildenthal Honors College, TE, and Courtesy Appointment in Political Science):: Degrees: Ph.D., Computer and Information Science, The Ohio State University, 1996; M.S., Computer and Information Science, The Ohio State University, 1991; B.Tech., Computer Science and Engineering, Indian Institute of Technology, Delhi, 1990; Research Interests: Mobile Computing; Wireless Networking; Sensor Networking; Distributed Systems; Operating Systems; Major Honors and Awards: Presidents Teaching Excellence Award in Graduate/Technical Education, The University of Texas at Dallas, 2017; Excellence in Teaching Award (1999-2000, 2001-2002, 2011-2012): Department of Computer Science, Erik Jonsson School of Engineering and Computer Science, The University of Texas at Dallas; Certificate of Achievement: For continuous exemplary contributions to Ph.D. education and research in the Erik Jonsson School of Engineering and Computer Science, The University of Texas at Dallas, 2006; Best Paper Award, Software Technology Track, Hawaii International Conference on System Sciences, January 2006; NSF CAREER Award; Best Paper Award, Eighteenth International Conference on Distributed Computing Systems (ICDCS98), Amsterdam, The Netherlands, May 26-29, 1998; RepresentativePublications: K.S. Subramani, J.D. Beshay, N. Mahabaleshwar, E. Nourbakhsh, B. McMillin, B. Banerjee, R. Prakash, Y. Du, P. Huang, T. Xi, Y. You, J.D. Camp, P. Gui, D. Rajan and J. Chen. Wireless Networking Testbed and Emulator (WiNeTestEr). Proceedings of the Seventeenth ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWiM 2014), Montreal, Canada, September 2014.; S.H. Baidya and Ravi Prakash. Improving the Performance of Multipath TCP over Heterogeneous Paths using Slow Path Adaptation. Proceedings of the IEEE International Conference on Communications (ICC 2014), Sydney, Australia, June 2014.; Q. Javed and R. Prakash. CHAMELEON: A Framework for Coexistence of Wireless Technologies in an Unlicensed Band. Wireless Personal Communications, Springer, 32 pages, to appear: available online December 2013.; H. Vardhan, S.-R. Ryu, B. Banerjee and R. Prakash. 60 GHz Wireless Links in Data Center Networks. Computer Networks Journal, Elsevier, 14 pages, to appear: available online October 2013.; M. Brehm and R. Prakash. Proactive Resource Allocation Optimization in LTE with Inter-Cell Interference Coordination. Wireless Networks, Elsevier, 16 pages, to appear: available online October 2013.; diff --git a/src/data/compiled_bios/3890.txt b/src/data/compiled_bios/3890.txt new file mode 100644 index 0000000000..fc78fe17e2 --- /dev/null +++ b/src/data/compiled_bios/3890.txt @@ -0,0 +1 @@ + John Kececioglu Index Research Teaching Personal Address Biography John Kececioglu is an Assistant Professor of Computer Science at the UniversityofGeorgia, which he joined in 1995. He received his PhD in Computer Science in 1991 at the UniversityofArizona under GeneMyers, and did postdoctoral work at the Centre de Recherches Mathmatiques of the UniversitdeMontral in 1991 with DavidSankoff, and at the Department of Computer Science of the UniversityofCalifornia atDavis from 1992-94 with DanGusfield. His research interests are in the designandanalysis of algorithms , especially for discrete problems in computationalbiology such as multiple alignment , sequence assembly , physical mapping , and genome rearrangement . He is particularly interested in the implementation of discrete algorithms , and is involved in several implementation projects, including P RIMAL , a system for p ractical ri gorous m ultiple al ignment, and D ALI , a d iscrete a lgorithms li brary. John is a recipient of a National Science Foundation CAREER Award and is a University of Georgia Lilly Teaching Fellow. Department diff --git a/src/data/compiled_bios/3891.txt b/src/data/compiled_bios/3891.txt new file mode 100644 index 0000000000..5e3f3c435f --- /dev/null +++ b/src/data/compiled_bios/3891.txt @@ -0,0 +1 @@ + Stephen G. Kobourov Professor Department of Computer Science University of Arizona Curriculum Vitae Research Papers Research Projects The HDC Lab The GAMA Group Teaching Students Pictures Tucson Links Grad School Info In 2019 am co-chairing the The 21st ACM-SIAM Meeting on Algorithm Engineering and Experiments ( ALENEX ) and serve on the PC of the 35th Symposium on Computational Geometry ( SoCG ) and the 12th IEEE Pacific Visualization Symposium ( PacificVis ). In 2018 I served on the PC of the 23rd IEEE Information Visualization Symposium ( INFOVIS ), the 20th IEEE Eurographics Conference on Visualization ( EUROVIS ), the 11th IEEE Pacific Visualization Symposium ( PacificVis ), and the IEEE Conference on Software Visualization ( VISSOFT ). I organized the 2018 University of Arizona Science Lecture Series titled "Humans, Data and Machines" and gave the first talk about " Problem Solving with Algorithms ." I am a co-PI of the UA-TRIPODS (Transdisciplinary Research in Principles of Data Science) NSF Center, one of 12 including MIT, Columbia, and UC Berkeley. Our research groups are studying the theory of large scale networks, data visualization and interpretation, natural language processing, and Bayesian methods for big data. In 2015-16 I worked at Charles University in Prague as a Distinguished Fulbright Chair . In 2011-12 I worked in Germany as a Humboldt Fellow and in 2006-07 I was in Botswana as a Fulbright Scholar . We've implemented several algorithms for semantic word clouds ; see some examples from the gallery . The algorithms that generate our maps of Bookland, TVLand, and MusicLand are now available and usable at GMap . Our paper about Analyzing the Language of Food on Social Media appeared at the 2014 IEEE Big Data Conference; see the data with our visualizations tools . "Bending Reality: Where arc and science meet" : an exhibition I co-organized as a part of the Dagstuhl Workshop on Drawing Graphs and Maps with Curves . Maps of Computer Science, or MOCS , generates topic maps of the field, heatmaps of various conferences (e.g., STOC ), journals over time (e.g., JACM first decade vs last decade ), as well as researchers and groups. Google Scholar and DBLP list most of my papers. Contact Information Department of Computer Science University of Arizona 1040 E 4th Street Tucson, AZ 85721-0077 Office: Gould-Simpson 715 Office Hours: Monday, Wednesday 10:45-11:30am [ Home | Projects | Papers | Teaching | CV | U of A | U of A CS ] diff --git a/src/data/compiled_bios/3892.txt b/src/data/compiled_bios/3892.txt new file mode 100644 index 0000000000..d7c3dc39a2 --- /dev/null +++ b/src/data/compiled_bios/3892.txt @@ -0,0 +1 @@ + Joshua A. Levine Notes News Publications Teaching Im an assistant professor in the Department of Computer Science at University of Arizona . Im a member of UAs HDC Lab . I work with an awesome research group: Jixian Li (PhD) , Kairong Jiang (PhD) , and Simon Swenson (PhD) (co-advised with Kobus Barnard ). I also co-advise Devin Bayly (an undergrad in NSCS ). Alumni of my group . I used to profess at Clemson University . I am a postdoctoral alumnus of University of Utah s Scientific Computing and Imaging Institute with Valerio Pascucci and Ross T. Whitaker . I did my PhD at the Ohio State University with Tamal K. Dey and my undergraduate and MS at Case Western Reserve University with Michael S. Branicky . Here is my short bio . I research visualization and geometric modeling. Along the way, I use topological analysis, high-performance computing, and computer graphics. I write code for my research, including contributions to TTK , Cleaver , DelPSC , and DelIso . My recent work has been funded by: DOE, on my Early Career Research Program award Analyzing Multifaceted Scientific Data with Topological Analytics (DE-SC0019039). Previous (now completed) funded projects by: NSF, on our collaborative award Coupled Simulation and Mesh Generation using Computational Topology ( IIS-1654221 , previously IIS-1314757 ). News Jun 21, 2018 Awarded 2018 DOE Early Career Award! May 30, 2018 Prof. Berger to start at Vanderbilt University! Apr 19, 2018 Join us for a TTK Tutorial at IEEE VIS 2018 Publications Nov 1, 2018 Visual Supervision in Bootstrapped Information Extraction Aug 27, 2018 NNCubes: Learned Structures for Visual Data Exploration Mar 15, 2018 A Generative Model for Volume Rendering Teaching S19 - CSC 437/537 Geometric Algorithms F18 - CSC 433 Computer Graphics S18 - CSC 433/533 Computer Graphics ...More News ...More Publications ...More Teaching Contact: Department of Computer Science University of Arizona 754 Gould-Simpson 1040 E. 4th Street Tucson, AZ 85721, USA Phone: +1-520-621-3153 Email: [username]@email.arizona.edu, my username is josh. Last Updated: 2019-01-10 19:38:34 -0700 diff --git a/src/data/compiled_bios/3893.txt b/src/data/compiled_bios/3893.txt new file mode 100644 index 0000000000..b20652b78c --- /dev/null +++ b/src/data/compiled_bios/3893.txt @@ -0,0 +1 @@ + Russell Lewis Lecturer Department of Computer Science, University of Arizona Current Classes (Fall 16): CSC 252 - Computer Organization (class website) CSC 352 - Systems Programming & UNIX (class website) Previous Classes: CSC 127A - Introduction to Computer Science I CSC 345 - Analysis of Discrete Structures CSC 245 - Introduction to Discrete Structures Education Ph.D Computer Science, University of Arizona (ongoing - currently on a leave of absence) M.S. Computer Science, University of Arizona (2010) B.S. Computer Engineering, University of Arizona (2001) Work Experience Lecturer, Computer Science, University of Arizona (2015-present) Research Assistant, Computer Science, University of Arizona (2014-2015) IBM Software Engineer, Embedded Systems, Tape and Disk (1998-2013) Future Research I plan to be focusing my future efforts on implementing, analyzing, and demonstrating use cases for Subcontexts. Subcontexts Overview Subcontexts make it possible to have a plurality of executing entities (somewhat analogous to processes) share a single virtual address space, without violating the safety guarantees that processes normally expect. That is, code running in one process would have no access to the code or data of any other process, even though they share the same virtual address space. We call each such executing entity a "subcontext." This can be accomplished by having a different page table for each subcontext - and each subcontext's page table contains entries only for its own pages. Thus, while the subcontexts share a single conceptual space, they share no pages. So why is that any different than normal virtual memory? The first difference is that the pages of the various subcontexts must all be non-overlapping in the virtual space - so, for any given virtual address, there is at most one entity which has a page for that address. This places a limit on where new places can be placed: a subcontext cannot mmap() any new page into addresses which overlap pages used by another subcontext in the same virtual address space. Second, each subcontext can be mapped into a plurality of different virtual address spaces. In each address space, the subcontext has the same pages - meaning that they share the same virtual addresses, and also the same physical backing pages. When a page is mmap()ed or munmap()ed from the subcontext, this change atomically occurs in all of the virtual address spaces into which the subcontext is mapped. Thus, the subcontext effectively exists in all of the virtual address spaces in parallel. Third and most importantly, we can define mappings between subcontexts. For instance, we might declare that subcontext A has a readonly mapping to subcontext B, which we would write as A->B(ro). Due to this mapping, every virtual address space which contains subcontext A must also contain subcontext B. More importantly, in each of these address spaces, every page in B is readable (but not writable) in A. In addition to readonly mappings, we also allow for read/write mappings - in which case A would see the same permissions as B for B's pages. Mappings are transitive but not symmetric - so B does not necessarily have any mapping to A's pages, but if B has a mapping to the pages of C, then so does A. Mappings make it possible to share complex data structures . Subcontext B can now define data structures that include pointers - such as trees, linked lists, graphs, or more complex variants - in its own memory, and A will be able to read them. A can use B's pointers directly, without any need for indirection. Moreover, as B changes its pages by mmap()ing new pages or munmap()ing old ones, these changes are atomically reflected in the effective page table of A. This means that A and B only have to initialize their relationship once - by establishing a mapping - and all future changes to B's pages will be visible in A, at all times. In addition to complex data structures, mappings make it possible to share long buffers - meaning that B can write data to a buffer, and A can read it without need for copies or interaction with the kernel. Likewise, if A has a read/write mapping to B, A can write data into B's pages, and B can read it without additional copies. Finally, subcontexts all the creation of "entry points" into other subcontexts. These are pre-defined call locations in a subcontext which another subcontext is allowed to jump to. In our A->B example, for instance, A could provide one or more entry points to B. B is now allowed to call A - but only at the entry points. When B calls into A, the thread switches context to A, and has access to all of the pages that A can access, and will continue to do so until the call returns. In this way, subcontexts allows the creation of extremely fast local RPC services . In this model, we view A as a service and B as its client; A has some access to B's memory (perhaps readonly, perhaps read/write), and B has the ability to call A's registered services. With a software-only implementation, subcontexts make it possible to implement elegant shared-memory IPC abstraction ; with hardware support, we believe that (for some types of services) the performance of a service subcontext could be competitive with a kernel-mode service implementation. Past Research Currently, I am focusing on file fingerprinting, recipe generation, deduplication, and efficient transfers of large files over long distances. File Fingerprinting File fingerprinting is the art of scanning a file and generating a relatively small set of characteristic values which are thought to represent the file. Ideally, two files which have some high amount of duplicate data should produce at least a few common fingerprints, without any need to directly compare the contents of the file. File fingerprinting is always a probabilistic endeavor; there is no guarantee that all, or even most, of the duplication between two files will be discovered by comparing their fingerprints. However, some file fingerprinting algorithms are better than others, and some provide attractive upper bounds on false negatives. We are currently investigating which file fingerprintging algorithms work best, and hope to be able to describe the "best in breed" for a variety of purposes. Recipe Generation A recipe for a file is a description of the file in terms of the contents of its blocks. Depending on the recipe format, the blocks may be fixed-size or variable size; they may or may not overlap each other. However, every byte in the file must be covered by at least one of the blocks in the recipe. Recipes can be generated by leveraging file fingerprinting techniques; the fingerprints can be used to determine the location and/or length of blocks. In this way, we can generate recipes such that two files with duplicate data will often have one or more duplicate blocks. Deduplication and Efficient File Transfer Recipes and file fingerprinting can be used to reduce storage and network transfer costs by detecting, and then eliminating, duplicate data in a file system. Files which share some amount of duplicate content need only to store their unique data; shared data is only stored once. We are investigating leveraging this technique in order to build efficient distributed file systems. We hope to deploy this technology in file systems related to biological computing, where data sets are huge and generally are appended to over time. If a multi-petabyte dataset, thousands of miles away, is updated periodically with new data, can we automatically detect which block(s) have been changed, and only send those over the network - rather than re-transferring the entire dataset? While tools exist to do this detection at transfer time (such as rsync), this requires a full, brute-force scan of both the origin and destination files. Moreover, such scans are not normally adaptive, and thus gigantic files can require gigantic data transfers simply to confirm that data has not changed. We are investigating a more general and efficient system, where files are scanned only once (when they are updated) and where recipes automatically adapt their scale to detect duplication (if and when it exists) with a minimum of network overhead. Publications and Patents My Favorites Accordion: Multi-Scale Recipes... (HotStorage '15) Generate and use multi-scale recipes (that is, recipes which are the union of many different recipes, each generated at a different scale) to very efficiently find duplication between two files, or between a file and a large index of blocks. We found that, under certain assumptions, it was possible to perform a multi-scale comparison which was no slower (in the worst case) than existing single-scale comparisons, but which was, in the best case, more than an order of magnitude faster. Subcontexts (U.S. Patent 7,543,126 B2) Innovative way to organize page permissions and thread / process / address space identification. Allows for creation of user-level services directly mapped into client processes, while retaining all of the protections of kernel code. Preventing Deadlocks (U.S. Patent 8,117,616) Use a secondary (read/write) lock to serialize the operation of locking threads; allow high locking concurrency while preventing deadlock caused by threads which must use dangerous locking strategies Master's Thesis Bodyguard (Application Protection Inside an Untrusted OS) Assume that you have a well-debugged program performing some critical task. Can you trust the operating system that it runs on? Bodyguard is a minimal hypervisor, combined with a thin shim layer that stands between your program and the untrusted operating system. The shim and the hypervisor communciate using a channel which the OS can neither intercept, corrupt, snoop upon, nor emulate; together they can detect and prevent any attempt by the OS to snoop on or corrupt the state of your program. However, Bodyguard is carefully designed to allow the operating system to do any number of safe memory accesses. The OS can swap your pages to disk, and then restore them; it can perform COW copies; it can accept buffers from your program (for write() and the like) and deliver buffers to your program (for read()). The essence of Bodyguard is that it allows these safe accesses but prevents any sort of unauthorized access; it is invisible unless the operating system does something against the rules. IBM Publications Undoable Writes (2010) CPU Cache improvement to reduce bus traffic during atomic instructions Application Protection Inside an Untrusted OS (2010) See: Master's Thesis above Trace Cache Self Modification (2006), Cpu Self-Optimization Thread (2007) Allows for dynamic optimization of microinstructions stored in the trace cache of a CPU Compress Debug Data On-the-Fly Before Dump (2006) Improved performance and storage requirements for point-in-time debug snapshots in an embedded system Linked List Stack (2006) Allow for unlimited growth of a thread's stack Executing Alternate Activities During a Page Swap (2004) Automatically do useful (alternate) work on a thread which otherwise would be blocked for I/O IBM Patents Determining the End of Valid Log in a Log of Write Records Using a Next Pointer and a Far Ahead Pointer (U.S. Patent 8,171,257) Enhancement to a log format which eliminates reliance on a fixed block to store checkpoints Discontiguous Multiple Issue of Instructions (U.S. Patent 7,822,948) Reduces hardware cost of highly-superscalar instruction issue units in a CPU by reducing the need to check for data hazards Scheduling Grace (U.S. Patent 8,024,739) Allow interaction between user and kernel to lessen the chance of inopportune preemption Executing Multiple Threads in a Processor (U.S. Patent 8,607,244) Hardware-assisted preemptive scheduling between logical threads in a single core, without the use of timer interrupts Soft Protections to Safeguard Program Execution (U.S. Patent Application 20080016305 A1, Abandoned) Send warnings to a thread as it nears the end of its allocated stack; warnings can be masked off when it would be unsafe to handle a signal (or when it would cause recursive warnings) Slow Modify Cache (U.S. Patent 7,383,388 B2) Mix different memory technologies in a CPU cache; some cache lines may respond quickly to lookups, but will take a longer time to update Method to Generate a Formatted Trace (U.S. Patent 7,305,660) In debug statements for code inside an embedded device, use printf()-like statements without the CPU or memory cost associated with runtime string expansion Depth Counter to Reduce Number of Items Considered for Loop Detection in a Reference-Counting Garbage Collector (U.S. Patent 7,315,873) Trivial mechanism to cull the list of candidate garbage objects which must be considered by a costly analysis algorithm. diff --git a/src/data/compiled_bios/3894.txt b/src/data/compiled_bios/3894.txt new file mode 100644 index 0000000000..f23b438e9d --- /dev/null +++ b/src/data/compiled_bios/3894.txt @@ -0,0 +1 @@ + David Lowenthal Home Teaching Research Publications Students CV David K. Lowenthal Professor and Associate Head Office: Gould-Simpson 705 Phone: (+1) 520-626-8282 Fax: (+1) 520-621-4246 E-mail: Initials (first, middle, last) at cs.arizona.edu Research Interests: Parallel and distributed computing; specifically performance modeling, run-time systems, and power management Biography David Lowenthal is Professor of Computer Science at the University of Arizona, where he has been a faculty member since January 2009. His research is in all aspects of parallel and distributed computing, with a particular focus on performance analysis, performance modeling, and power management. He was Program co-Chair for the inaugural IEEE Green Computing Conference in 2010, General Chair of the ACM International Conference on Supercomputing in 2011, and has served on numerous program committees, including SC, PPOPP, ICS, and IPDPS. Prior to Arizona, he was on on the faculty in Computer Science at the University of Georgia. He holds a B.S. degree in Computer Science and Math from the University of California, Davis and M.S. and Ph.D degrees in Computer Science from the University of Arizona. diff --git a/src/data/compiled_bios/3895.txt b/src/data/compiled_bios/3895.txt new file mode 100644 index 0000000000..26629eee88 --- /dev/null +++ b/src/data/compiled_bios/3895.txt @@ -0,0 +1 @@ + Lester I. McCann Principal Lecturer Office: Gould-Simpson 819 Office Hours: On current syllabi & posted outside my office door Office Phone: (520) 621-3498 Department Fax: (520) 621-4246 E-mail: mccannl@acm.org Web: http://u.arizona.edu/~mccann/ Brief Biography Dr. McCann (Ph.D. 1994, North Dakota State University) has been a faculty member in the department since August of 2004. Prior to joining the department, he was a member of the Computer Science faculties of the University of Wisconsin at Parkside and the University of Central Oklahoma, teaching courses on a variety of computer science topics. At Arizona, he teaches Introduction to Discrete Structures (CSc 245), Database Design (CSc 460), and other undergraduate Computer Science courses. Dr. McCann has served on the ACM SIGCSE symposium committee several times, oversees the CS Section Leader program, advises students, and wonders why there appears to be an inverse relationship between driver attentiveness to bicyclists and the size of the car they drive. He has been honored with the University of Arizona College of Science 2011 Distinguished Early Career Teaching Award, the 2012 University of Arizona Foundation Leicester and Kathryn Sherrill Creative Teaching Award, and three departmental teaching awards (2016, 2015, and 2009). Disclaimer If the University of Arizona has a disclaimer that I'm supposed to place on my web page, they haven't told me about it. That could mean they whole-heartedly agree with everything you'll find in this collection of pages, but I rather doubt it. Photo Credit: Mark Thaler, UA BioCom, 2012 Info Classes Scholarly Activities Service For Students Past Classes Biographical Info Miscellaneous diff --git a/src/data/compiled_bios/3896.txt b/src/data/compiled_bios/3896.txt new file mode 100644 index 0000000000..4ffb5ce5b6 --- /dev/null +++ b/src/data/compiled_bios/3896.txt @@ -0,0 +1 @@ + Rick Mercer Spring 2019 Courses CSC 382 Software Development with C++ CSC 250 Essential Computing for the Sciences Office Hours 9-Jan to 1-May 809 Gould-Simpson, Mondays and Wednesdays, 11:15-12:15 Or by appointment mercer@cs.arizona.edu Books Computing Fundamentals with C++; 3rd Edition; Franklin, Beedle Resources Computing Fundamentals with Java and JUnit Resources diff --git a/src/data/compiled_bios/3897.txt b/src/data/compiled_bios/3897.txt new file mode 100644 index 0000000000..336fe332b3 --- /dev/null +++ b/src/data/compiled_bios/3897.txt @@ -0,0 +1 @@ + # Allison Obourn # Senior Lecturer # Department of Computer Science # University of Arizona Allison received her BS and MS from the Paul G. Allen School of Computer Science & Engineering at the University of Washington. She taught there for three years. It is her second year at the University of Arizona. Allison is currently teaching CSC 110 . diff --git a/src/data/compiled_bios/3898.txt b/src/data/compiled_bios/3898.txt new file mode 100644 index 0000000000..297c4cf1c9 --- /dev/null +++ b/src/data/compiled_bios/3898.txt @@ -0,0 +1 @@ + Home Publications Experience Todd A. Proebsting Professor and Department Head Office: Gould-Simpson 739 Phone: 621-4324 (Note: Voicemail is broken.) Fax: 621-4246 E-mail: proebsting@cs.arizona.edu Research I am working on research reproducibility in Computer Science. Currently, this centers around creating a public database of recent CS publications AND their associated digital artifacts: www.findresearch.org . I am also interested in programmer productivity in general. I am dismayed at the current state of programming tools (e.g. programming languages, development environments, static analysis tools) and I think we can do much better. My primary focus here is investigating how to get rid of all the clutter in most statically-checked computer programs without sacrificing the benefits of static analysis. Finally, my efforts in deploying prediction markets at Microsoft has made me very interested in information aggregation and incentives. How do we elicit information from people (or machines), and aggregate it in a way that rewards good information sources? Teaching 2017 Spring: CSC 453, Compilers 2016 Spring: Programming Workshop 2015 Fall: Programming Workshop 2015 Spring: CSC 352, C and System Software 2013 Fall: CSC 630, System Software 2013 Spring: CSC 553, Compilers Patents At Microsoft, I patented a variety of things, some of which are kind of cool. The list is here . Recent History Before coming to the University of Arizona in August 2012, I was at Microsoft for 15 years. I was a founding member of Microsoft's cloud computing project, which ultimately became Windows Azure. In 2003 at Microsoft, I founded Microsoft's efforts in using prediction markets to help forecast future events. This ultimately led to markets that successfully predicted a huge delay in a major product. Vanity I may be best known for "Proebsting's Law" , which asserts that compiler optimizations have yielded annual performance gains an order of magnitude worse than hardware performance gains. The law probably would have gone unnoticed had it not been for the protests by those receiving funds to do compiler optimization research. I am also known for "Proebsting's Paradox", which is an unexpected result in a provably optimal gambling strategy. Unlike Proebsting's Law, I did not name this one after myself, but rather Dr. Ed Thorp (of Beat The Dealer fame) named it after me. (See Wikipedia for details.) Amused at the ridiculousness of having things named after myself, I was hoping for "Proebsting's Folly", where I was going to convince the United States Government to buy the sovereign nation of Iceland to get them out of their banking troubles a few years ago. (This was based on the premise that every US purchase of a really cold territory is a "folly".) Unfortunately (for me), Iceland was able to recover. diff --git a/src/data/compiled_bios/3899.txt b/src/data/compiled_bios/3899.txt new file mode 100644 index 0000000000..b85cb2d17d --- /dev/null +++ b/src/data/compiled_bios/3899.txt @@ -0,0 +1 @@ + CARLOS SCHEIDEGGER BLOG COURSES CODE VIS WRITING PAPERS ABOUT CV CV , scholar , email , twitter , instagram , flickr , g+ , facebook I'm an assistant professor in the Department of Computer Science at the University of Arizona. I work in large-scale data visualization and exploratory data analysis. Before coming to sunny , beautiful Tucson , I worked at AT&T Research in New York. Interactive visualization is crucial in understanding, exploring, and presenting data, but data scale can present serious barriers for effectiveness and adoption. I study these barriers and design solutions to remove them. My work ranges from theoretical to practical ; from designing solutions specifically for particular domains to designing general infrastructure for large-scale visualization. Since joining UA, I have worked in a number of projects here, including support for interactive browsing of synteny data at CoGe , and building up interactive visualization infrastructure at NOAO and the ANTARES project. If you're interested in our work, you should also take a look at the webpage of the HDC Lab which I cofounded with my colleagues, Josh Levine and Kate Isaacs . (I'm trying something different for writing , instead of a blog.) FUNDED PROJECTS My work is funded by a number of institutions, including the NSF, AT&T, and the Arizona Board of Regents. NSF III-1513651 : Topological Data Analysis for Large Network Visualization NSF III-1815238 : An End-to-End Pipeline for Interactive Visual Analysis of Big Data TRAVEL jan 19 - Atlanta: ACM FAT* 2019 jan 19 - Houston: rstudio::conf nov 18 - Boston: NEU, Tufts, Harvard, WPI oct 18 - Berlin: VIS 2018 jun 18 - Banff: vis restructuring jun 18 - SIGMOD + HILDA mar 18 - CCC workshop: fairness feb 18 - ACM FAT* 2018 nov 17 - Dagstuhl 17461: vis + db CODE Nanocubes : blazing fast large data visualization. Lux : write WebGL shaders in Javascript, composably. RCloud : collaborative data analysis, on the web. VisTrails : a provenance-aware scientific workflow system. Vector-field k-means : scalable trajectory clustering. Afront : high-quality triangle meshing of surfaces. SOME STUFF I MADE Slice and dice 200 million data points . In your browser. Plotting ten years of NFL plays . Visualizing the MLB Hall of Fame induction voting dynamics . 5h of footage from a Window Seat into one image. The Beauty of Roots . Some optical illusions , animated with JS and d3. An illustration of the duality principle in convex optimization. Making sense of symmetric 2x2 matrices through their eigendecomposition . An illustration of the Bunimovich stadium . An interactive version of the Fagan nomogram . An interactive nomograph for Bayes' rule ( explanation ). (The full list of visualizations, not necessarily in any order). PAPERS A Comparative Study of Fairness-Enhancing Interventions in Machine Learning 4 Feb 2019 DimReader: Axis lines that explain non-linear projections 29 Sep 2018 Visual Detection of Structural Changes in Time-Varying Graphs Using Persistent Homology 28 Sep 2018 Probabilistic Obfuscation Through Covert Channels 28 Sep 2018 NNCubes: Learned Structures for Visual Data Exploration 28 Sep 2018 Looks Good to Me: Visualizations as Sanity Checks 28 Sep 2018 DimReader: Axis lines that explain non-linear projections 28 Sep 2018 Runaway Feedback Loops in Predictive Policing 5 Dec 2017 DimReader: Using auto-differentiation to explain non-linear projections 10 Oct 2017 Load-n-Go: Fast Approximate Join Visualizations That Improve Over Time 1 Oct 2017 Cartogram Visualization for Bivariate Geo-Statistical Data 1 Oct 2017 A Vector Field Design Approach to Animated Transitions 13 Sep 2017 Auditing Black-box Models for Indirect Influence 13 Dec 2016 Hashedcubes: Simple, Low Memory, Real-Time Visual Exploration of Big Data 12 Sep 2016 Gaussian Cubes: Real-Time Modeling for Visual Exploration of Large Multidimensional Datasets 12 Sep 2016 Collaborative Visual Analysis with RCloud 17 Aug 2015 A Simple Approach for Boundary Improvement of Euler Diagrams 17 Aug 2015 Certifying and Removing Disparate Impact 16 Aug 2015 Map-based Visualizations Increase Recall Accuracy of Data 19 May 2015 (short paper) Towards Understanding Enjoyment and Flow in Information Visualization 19 May 2015 An Algebraic Process for Visualization Design 20 Aug 2014 Visual Embedding: A Model for Visualization 2 Jan 2014 Nanocubes for Real-Time Exploration of Spatiotemporal Datasets 1 Oct 2013 Verifying Volume Rendering Using Discretization Error Analysis 1 Sep 2013 Vector-Field k-Means: Clustering Trajectories by Fitting Multiple Vector Fields 1 Jul 2013 Drawing Large Graphs by Low-Rank Stress Majorization 1 Jul 2012 Topology Verification for Isosurface Extraction 2 Nov 2011 Multilevel Agglomerative Edge Bundling for Visualizing Large Graphs 1 Mar 2011 The Provenance of Workflow Upgrades 1 Jan 2010 Verifiable Visualization for Isosurface Extraction 1 Oct 2009 Bandwidth Selection and Reconstruction Quality in Point-Based Surfaces 1 Jan 2009 VisComplete: Automating Suggestions for Visualization Pipelines 1 Oct 2008 Tackling the Provenance Challenge One Layer at a Time 1 Oct 2008 Revisiting Histograms and Isosurface Statistics 1 Oct 2008 Edge Transformations for Improving Mesh Quality of Marching Cubes 1 Oct 2008 Edge Groups: An Approach to Understanding the Mesh Quality of Marching Methods 1 Oct 2008 Examining Statistics of Workflow Evolution Provenance: A First Study 1 Jul 2008 Optimal Bandwidth Selection for MLS Surfaces 1 Feb 2008 Querying and Creating Visualizations by Analogy 1 Oct 2007 Hardware-Assisted Point-Based Volume Rendering of Tetrahedral Meshes 1 Jul 2007 High-Quality Extraction of Isosurfaces from Regular and Irregular Grids 1 Oct 2006 Managing the Evolution of Dataflows with VisTrails 1 Jun 2006 Direct (Re)Meshing for Efficient Surface Processing 1 Mar 2006 Practical CFD Simulations on Programmable Graphics Hardware using SMAC 1 Nov 2005 VisTrails: Enabling Interactive Multiple-View Visualizations 1 Oct 2005 Triangulating Point-Set Surfaces with Bounded Error 1 Jun 2005 about | license | suggest a fix | GDPR | Last modified: 2018-09-28 10:05 diff --git a/src/data/compiled_bios/39.txt b/src/data/compiled_bios/39.txt new file mode 100644 index 0000000000..97047a4d1a --- /dev/null +++ b/src/data/compiled_bios/39.txt @@ -0,0 +1 @@ + Geoffrey Lindsay Herman Teaching Assistant Professor 3213 Siebel Center for Comp Sci 201 N. Goodwin Ave. Urbana Illinois 61801 glherman@illinois.edu : Primary Research Area CS Education Research Areas CS Education . Primary Research Area CS Education Research Areas CS Education . Selected Articles in Journals Herman, G. L., Loewenstein, J. (2017). Evidence-based change practices, Journal of Engineering Education, 106(1), 1-10. DOI: 10.1002/jee.20152 Montfort, D. B., Herman, G. L., Brown S. A., Matusovich, H. M., & Streveler, R. A., Adesope, O. (2015). Patterns of student conceptual understanding across engineering content areas. International Journal of Engineering Education, 31(6A), 1587-1604. Herman, G. L., Zilles, C., & Loui, M. C. (2014). A psychometric evaluation of the Digital Logic Concept Inventory. Computer Science Education, 24(4), 277-303. DOI:10.1080/08993408.2014.970781 Herman, G. L., Zilles, C., & Loui, M. C. (2012). Flip-flops in students' conceptions of state. IEEE Transactions in Education, 55 (1), 8898. Herman, G. L., Loui, M. C., Kaczmarczyk, L., & Zilles, C. (2012). Discovering the what and why of students difficulties in Boolean logic. ACM Transactions on Computing Education, 12(1), 3:1-28. . . diff --git a/src/data/compiled_bios/390.txt b/src/data/compiled_bios/390.txt new file mode 100644 index 0000000000..d337ce2db8 --- /dev/null +++ b/src/data/compiled_bios/390.txt @@ -0,0 +1 @@ +Name: Raghavachari, Balaji:: Position: Professor:: Degrees: Ph.D., Pennsylvania State University; Research Interests: Design and analysis of algorithms.; Database design.; Approximation algorithms.; Combinatorial optimization.; Scheduling problems.; Vehicle routing and traversal problems.; diff --git a/src/data/compiled_bios/3900.txt b/src/data/compiled_bios/3900.txt new file mode 100644 index 0000000000..b9c68b87ef --- /dev/null +++ b/src/data/compiled_bios/3900.txt @@ -0,0 +1 @@ + Home Publications Ravi Sethi Professor Office: Gould-Simpson 724 Phone: 520-621-0689 E-mail: rsethi [at] email [dot] arizona [dot] edu Biography I returned to Academia and the Department of Computer Science at the University of Arizona in 2014, after holding senior executive positions at Avaya Labs and Bell Labs. I am a co-author of the "classic definitive compiler technology text" [Wikipedia], popularly known as the "dragon book", and the author of a textbook on programming languages. I have served on Advisory councils for NSF and various universities and on the selection committee for the Turing Award, the highest award in computing (2007-2013). After earning a B.Tech. from the Indian Institute of Technology (IIT) at Kanpur and a Ph.D. from Princeton, I was a professor at Penn State (1972-1976). My Bell Labs career (1976-2000) was in the research organization. I was senior vice president for computing and mathematical sciences (1996-1999) and communications sciences (1999-2000). When the parent company, Lucent , spun off its enterprise business, I was named president of Avaya Labs (2000-2014). For my contributions to compilers and programming languages, I was nominated an ACM Fellow (1996); honored as a Distinguished Alumnus (2008) and as one of the top 50 alumni (2010); and selected for the first annual Pan-IIT Technology Leadership Award (2009). Books A. V. Aho, M. S. Lam, R. Sethi, J. D. Ullman. Compilers: Principles, Techniques, and Tools, 2nd ed. Addison-Wesley, Reading, Mass. (2007). Translated into Chinese (2009), French (2007), German (2008), Italian (2009), Japanese (2009), Korean (2009), Portuguese (2007), Russian (2007), Spanish (2010), ... R. Sethi, Programming Languages: Concepts and Constructs, 2nd ed. Addison-Wesley, Reading, Mass. (1996). Translated into Chinese (2001) R. Sethi, Programming Languages: Concepts and Constructs. Addison-Wesley, Reading, Mass. (1989). Translated into Italian (1994), Korean (1992), Spanish (1992) A. V. Aho, R. Sethi, J. D. Ullman. Compilers: Principles, Techniques, and Tools. Addison-Wesley, Reading, Mass. (1986). Translated into French (1989), German (1988), Japanese (1990), Polish (2001), Portuguese (1995), Russian (2001), Spanish (1990), ... diff --git a/src/data/compiled_bios/3901.txt b/src/data/compiled_bios/3901.txt new file mode 100644 index 0000000000..0f91889c0a --- /dev/null +++ b/src/data/compiled_bios/3901.txt @@ -0,0 +1 @@ + Richard T. Snodgrass Home Awards Curriculum Vit Funding Initiatives Professional Activities Publications Projects Ergalics Automated Causal Analysis (AMELIE) ANTARES Concrete Complexity Data Cognition Field Guide Science of Databases DBMS Micro-Specialization TAU Dragoon Bench BerkeleyDB DOM PSM XQuery XSchema Zaman TimeCenter SQL3 TSQL2 Links ACM SIGMOD ACM Transactions on Database Systems Professor and Galileo Circle Fellow Department of Computer Science College of Science 711 Gould Simpson University of Arizona P.O. Box 210077 Tucson , AZ 85721-0077 Phone: (520) 621-6370 FAX: (520) 621-4246 Email: rts@cs.arizona.edu Biography Rick is a Professor of Computer Science at the University of Arizona , joining in 1989. He has written or edited six books as well as many journal and conference papers (see his DBLP entry , his ACM author page , and a complete list of his publications , including electronic versions of almost all papers). He is an ACM Fellow . Rick is a member of the Editorial Board of ACM Ubiquity . He has chaired the ACM Publications Board and the ACM History Committee and has served on ACM Council . He was Editor-in-Chief of the ACM Transactions on Database Systems from 2001 to 2007 and has served previously as Associate Editor of the International Journal on Very Large Databases and the IEEE Transactions on Knowledge and Data Engineering . He chaired the Americas program committee for the 2001 VLDB Conference and the program committees for the 1994 SIGMOD Conference and the 1993 International Workshop on an Infrastructure for Temporal Databases. In addition, he has served as a vice-chair or member of many program committees . Rick chaired the ACM SIGMOD Special Interest Group on Management of Data from 1997 to 2001. He received the 2004 Outstanding Contribution to ACM Award and the 2002 ACM SIGMOD Outstanding Contributions Award . He has been involved in a number of initiatives . Rick chaired the TSQL2 Language Design Committee and initiated the SQL/Temporal part of the SQL3 draft standard. Concepts and constructs from SQL/Temporal, including valid time and transaction time , have been included in the SQL standard and have been implemented in the IBM DB2 10 , MarkLogic Server , Oracle 9i, 10g., and 11g , SAP HANA , and Teradata Database 13.10 and 14 DBMSes. Other products and design patterns have also included temporal support based in part on these ideas. He holds a B.A. degree in Physics from Carleton College and M.S. and Ph.D. degrees in Computer Science from Carnegie Mellon University . Rick co-directs TimeCenter , an international center for the support of temporal database applications on traditional and emerging DBMS technologies, as well as the related science of databases and TAU projects. His research interests include ergalics (the science of computing), temporal databases, query language design, query optimization and evaluation, storage structures, and database design. Rick's avocational interests include playing classical guitar, scuba diving, and flying, though not simultaneously! More details may be found on his curriculum vitae and on wikipedia . Projects The Science of Databases Understanding database management system software as a general class of computational artifacts TAU Project An umbrella of projects, all with goal of providing to users, through sophisticated user languages and APIs, facilities to manage time-oriented data. Encompasses database implementations (specifically, BerkeleyDB , PSM , and Zaman ), temporal XML (specifically, XSchema , XQuery , DOM , and Bench ), and forensic analysis of database tampering (the Dragoon project). TimeCenter An international center for the support of temporal database applications Join the premier professional organization for database researchers and practitioners Webmaster: Richard Snodgrass diff --git a/src/data/compiled_bios/3902.txt b/src/data/compiled_bios/3902.txt new file mode 100644 index 0000000000..fd825b5eca --- /dev/null +++ b/src/data/compiled_bios/3902.txt @@ -0,0 +1 @@ + Home Students Prospective Students Teaching Research Publications Software Artifacts CV Michelle Mills Strout Professor and Acting Department Head Office: Gould-Simpson 707 Spring 2019 Office Hours: Tuesdays 4-5:30pm E-mail: mstrout@cs.arizona.edu Github profile Google Scholar profile Twitter: @ProfMStrout Phone: 520-621-1602 Fax: 520-621-0308 Research Interests High Performance Computing, Compilers including use of the Polyhedral Model, Parallel Programming Models, Scientific Computing, and Software Engineering. Recent Professional Activities Supercomputing 2019: Tech papers co-chair OOPSLA 2018 : External Program Committee PLDI 2018 : External Program Committee, PLMW organizer, and Sponsorship chair PPOPP 2018 : Program Committee HPCC 2017: Program Committee CHIUW 2017 : Program Committee Grace Hopper Celebration of Women in Computing 2017: Poster Committee IMPACT 2017: Program Committee Supercomputing 2016: Technical Papers Area Chair for the Programming Systems track, Doctoral Showcase Program Committee, and Mentor for the Women in HPC workshop. LCPC 2016: Program Committee CHIUW 2016: Program Committee ISC High Performance 2016: Program committee member for Ph.D. Forum Co-chair for The 6th International Workshop on Polyhedral Compilation Techniques (IMPACT) 2016. Biography Michelle has been a professor in the Department of Computer Science at the University of Arizona since August 2015. Prof. Strout's main research area is high performance computing and her research interests include compilers and run-time systems, scientific computing, and software engineering. She earned her Ph.D. at the University of California, San Diego in 2003 with Jeanne Ferrante and Larry Carter as co-advisors. In 2008, Michelle received a CAREER Award from the National Science Foundation for her research in parallelization techniques for irregular applications, such as molecular dynamics simulations. In 2010, she received a DOE Early Career award to fund her research in separating the specification of scientific computing applications from the specification of implementation details such as how to parallelize such computations. Some of Prof. Strout's research contributions include the Universal Occupancy Vector (UOV) for determining storage mappings for any legal schedule in a stencil computation, the Sparse Polyhedral Framework (SPF) for specifying inspector-executor loop transformations, dataflow analysis for MPI programs, parameterized and full versus partial tiling with the outset and insets, and loop chaining for scheduling across stencil loops. diff --git a/src/data/compiled_bios/3903.txt b/src/data/compiled_bios/3903.txt new file mode 100644 index 0000000000..627e97449c --- /dev/null +++ b/src/data/compiled_bios/3903.txt @@ -0,0 +1 @@ + mihai surdeanu mihai AT surdeanu DOT info / msurdeanu AT email DOT arizona DOT edu main | teaching | publications | talks | software | twitter | prospective students University of Arizona Gould-Simpson 746 1040 E. 4th Street Tucson, AZ 85721 My primary appointment is with the Computer Science department at the University of Arizona . I have a courtesy appointment with Linguistics and Cognitive Science . Before Arizona, I was a research scientist in the NLP group at Stanford and chief scientist of Lex Machina . I did my PhD in computer science at Southern Methodist University . I work on systems that process and extract meaning from natural language texts such as question answering (answering natural language questions), information extraction (converting free text into structured relations and events). I focus mostly on interpretable models, i.e., approaches where the computer can explain in human understandable terms why it made a decision. For mode details about my work, please visit our research group's page . For more on natural language processing (NLP) work at University of Arizona, please see our NLP cluster page . For Fall 2018 I teach Algorithms for Natural Language Processing (CSC 585). diff --git a/src/data/compiled_bios/3904.txt b/src/data/compiled_bios/3904.txt new file mode 100644 index 0000000000..369d033835 --- /dev/null +++ b/src/data/compiled_bios/3904.txt @@ -0,0 +1 @@ + Beichuan Zhang Associate Professor Computer Science Department The University of Arizona Tucson, AZ 85721 Office: Gould-Simpson 723 Voice: 520-621-4817 Fax: 520-621-4246 Email: Dr. Zhang joined the Computer Science Department at the University of Arizona in 2005. He received PhD from UCLA in 2003, and BS from Peking University, China in 1995. Before coming to Arizona, he spent two years as a postdoc at USC/ISI-East and UCLA. His research area is computer networks in general. He has been working on Internet routing architectures and protocols, green networks, routing security, and Internet content distribution. He is the receipient of the Applied Networking Research Prize by ISOC and IRTF in 2011, and the Best Paper Award at ICDCS in 2005. The Network Research Lab is looking for talented and motivated people to work with us on cutting-edge research. To apply for a postdoctoral research fellow position, please email your CV, research statement and contact information of 3 references to Dr. Zhang. To apply for a graduate research assistantship or for an undergraduate research assistantship, please email your resume to Dr. Zhang. We also welcome International Exchange Scholars (J-1 visa holders). Current Research Named Data Networking Green Net Routing Security Past Research eFIT Routing Dynamics AS topology Content Distribution Publications Teaching CSc630 Advanced Topics in Internet Research CSc525 Principles of Computer Networking CSc425 Computer Networks Personal I used to play soccer a lot with my soccer buddies in Los Angeles, Bay Area, Virginia, and Arizona. From 1996 to 2007, I competed in the Grand Tournament of North American Chinese Soccer League on every Labor Day weekend for 11 years, mostly with team Silicon Valley Tigers. It was a great time. After moving to Tucson, I played with team Red Army in the Tucson Metro Soccer League for 4 years. We reached division finals 3 times and won the title of 2008-09 season. The trophy is displayed in the Miss Saigon restaurant at Speedway and Campbell, as one of my teammates works there. Tucson is great for soccer: many fields and players for pickup games, several leagues for formal games, and you can play all year round. However, after a couple of injuries in the last season, I decided that it was enough for my knees and ankles. So I quit soccer in 2010 :-( Nowadays I play badminton twice a week with the Tucson Badminton Club and the UA Badminton Club . Except being indoors, badminton is as much fun as soccer, in different ways though. I've been learning it from online turorials , youtube videos , and fellow players. My current goal is to get out of the group stage in local tournaments. diff --git a/src/data/compiled_bios/3905.txt b/src/data/compiled_bios/3905.txt new file mode 100644 index 0000000000..429cdd8d9e --- /dev/null +++ b/src/data/compiled_bios/3905.txt @@ -0,0 +1 @@ + Professional Bio Degrees Ph.D. in Computer Science, University of Colorado, Boulder, CO MS in Computer Science, Rutgers University, New Brunswick, NJ BS in Computer Science, Lock Haven State College, Lock Haven, PA Academic & Professional Experience Regis University, Professor, Denver, CO, 2002 to present Program Coordinator Computer Science Creekpath Systems, Principal Software Engineer, Boulder, CO, 2001 to 2002 Athene Software, Senior Software Engineer, Boulder, CO, 1999 to 2001 U S WEST, Boulder and Denver CO Information Technologies, Senior Engineer/ Technical Lead, Denver, CO, 1996 to 1999 Advanced Technologies, Member Technical Staff, Boulder, CO 1986 to 1996 University of Colorado at Boulder Continuing Education, Lecturer, 1989 to 1990 AT&T Bell Laboratories, Member Technical Staff, 1984 to 1986 Rutgers University, Teaching Assistant, 1983 to 1984 Professional Credentials & Memberships Senior Member, Association of Computer Machinery (ACM) : diff --git a/src/data/compiled_bios/3906.txt b/src/data/compiled_bios/3906.txt new file mode 100644 index 0000000000..43703ab93b --- /dev/null +++ b/src/data/compiled_bios/3906.txt @@ -0,0 +1 @@ + Professional Bio Degrees MS in Computer Science, Arizona State University, Tempe, AZ BS in Computer Science, University of Southern California, Los Angeles, CA Academic & Professional Experience Regis University Assistant Professor, Computer Science, 2000-present Program coordinator for CS361, CS362, CS372, CS437, and CS440 SPS Faculty Chair, Networking, 1998 2000 SPS Program Chair, CS/CIS/Math, 1997 Affiliate Faculty, Regis University, 1993 1997 Independent Contractor, Software Instruction, 1992 - 1996 Park College, Instructor, 1991 University of Dayton Research Institute, Computer Systems Manager, 1991 1992 US Air Force, Computer Systems Officer, 1985 -1991 Professional Credentials & Memberships Consortium for Computing Sciences in Colleges (CCSC), Voting Member and on Conference Committee for Rocky Mountain region : diff --git a/src/data/compiled_bios/3907.txt b/src/data/compiled_bios/3907.txt new file mode 100644 index 0000000000..bda24187e9 --- /dev/null +++ b/src/data/compiled_bios/3907.txt @@ -0,0 +1 @@ + Professional Bio Degrees Ph.D., Computer Science, Iowa State University M.A., Philosophy, San Deigo State University B. A., Mathematics, San Diego State University Academic Experience University of Wyoming . Assistant Professor of Computer Science, August, 1984 to August, 1988. Adjunct Professor of Computer Science, August, 1988 to December, 1991. Teaching assignments in Digital Systems Design, Computer Architecture, CMOS-VLSI, relational databases. Acting Chairman of the Computer Science Department, May, 1986 to September, 1986. Graceland College . Professor of Computer Science, July, 1981 to July, 1984. Primary teaching assignment in Numerical Analysis, Operating Systems Design and Analysis, Information Systems Design and Analysis, Compiler Construction, Mathematical Modeling and Simulation, Computer Architecture and Digital Design. Missouri Western State College. Associate Professor of Computer Science and Mathematics, August, 1982 to June, 1983. Primary assignment in teaching of Computer Science and Mathematics courses and as a consultant in curriculum development. Note: This was a temporary appointment and was concurrent with a full-time position as a full professor at Graceland College. Graceland College. Associate Professor of Computer Science, July, 1974 to July, 1981. Primary teaching assignment in Real and Complex Analysis, Numerical Analysis, Programming Languages. Promoted to full Professor at Graceland College, Lamoni, Iowa, on March 15, 1981. Iowa State University. Instructor of Computer Science, September, 1970 to June, 1971. Half-time teaching assignment in Programming Languages, FORTRAN and PL/1. Half-time research with Computations Center Staff. Graceland College. Assistant Professor of Mathematics and Philosophy, July, 1967 to July, 1974. Instructor of Mathematics and Philosophy, July, 1995 to June, 1967. Taught the following courses: Calculus, Differential Equations, Numerical Analysis, Computer Science, Philosophy of Mathematics, Philosophy of Science, Introduction to Philosophy. Business Experience Ph.D., Computer Science, Iowa State University Fujitsu Computer Products of America, Inc. Intellistor Division, Longmont, Colorado. Consultant for design and implementation of analytical models for platform architectures employing disk arrays. The project involved the mathematical analysis of a platform architectures for the purpose of creating an analytical model based on Markovian interpretation of the architecture when viewed as a queuing network. Stochastic processes were employed for both the transitional as well as the steady state behavior of the system. The primary features of these architectures lies in the use of redundant arrays of the inexpensive disks (RAID). The RAID technology was also modeled in the mathematics. Implementation was in a Unix environment using the C programming language. Other documentation tools include Emacs and Latex. Consultant to SESI, Inc. Broomfield, Colorado. Design and Development of a Product Discrepancy Tracking System. Implementation tools included: Vermont Views, a screen building package, C-Index, a database tool kit, Epsilon, a programmers editor, the Unix Operating System, and the C programming language. Consultant to Accelerated Data Systems, Denver, Colorado. September, 1990 to December, 1990. Development of relational database using Gupta SQL. Consultant and Acting Director of Technical Services, Secutron Corporation, Denver, Colorado, June, 1990 to August, 1990. Development of consulting staff for IBM RS6000 AIX installations. Consultant to Historic Downtown Laramie, Laramie, Wyoming, August, 1988 to November, 1988. Database management and logistical support. Consultant to InSitu, Inc. Laramie, Wyoming, January, 1988 to November, 1988. Designed and implemented device drivers for NCAR graphics. Consultant to the Good Land and Cattle Company, Cheyenne, Wyoming, June, 1986 to August, 1988. Designed and implemented real estate management system. Consultant to Western Oil Tool and Manufacturing Co., Inc., Casper, Wyoming, June, 1986 to August, 1988. Designed and implemented a cost estimating system. Consultant to the State of Wyoming, Archives, Museums & Historical Department Museums Division. Barrett Building, Cheyenne, Wyoming 82002, September, 1985 to August, 1986. Database design development and general consulting as a Collection Management Analyst. Consultant to Des Moines Register and Tribune Company, 715 Locust, Des Moines, Iowa 50309, March, 1983 to July, 1986. Designed and managed the installation of a management information system. Consultant to Laramie Plains Museum Association, Inc., 603 Ivinson, Laramie, Wyoming 82070, December, 1984 to August, 1985. Designed a relational database for use in Museum Information Management. Consultant to Des Moines Symphony, Inc., 411 Shops Building, Des Moines, Iowa 50309, December, 1984 to September 1, 1985. Designed a relational database for use in MIS for Symphony Management. Consultant to Civic Center of Greater Des Moines, Inc., 221 Walnut, Des Moines, Iowa 50309, July, 1984 to December, 1984, designed a relational database for use in MIS for Theatre Management. Consultant to Commercial Printing, Inc. 702 Koesauqua Way, Des Moines, Iowa, March, 1982 to March, 1983, Designed and implemented a system for forecasting and maintaining an inventory of paper stock required to meet printing contracts. Cubic Corporation, Mathematician and Computer Programmer, June, 1964 to June, 1965. Assignment involved programming of mathematical solutions for the U.S. Armys Long Range Survey System (LRSS) Gun Direction Computer XM18, a Field Artillery Digital Automatic Computer (FADAC). Pacific Telephone Company. Marketing Results Staff Supervisor, June, 1962 to June, 1963. Managed a staff of approximately six people whose job it was to gather, process, and publish the data appropriate to marketing operation of Pacific Telephone : diff --git a/src/data/compiled_bios/3908.txt b/src/data/compiled_bios/3908.txt new file mode 100644 index 0000000000..9e360aa1ce --- /dev/null +++ b/src/data/compiled_bios/3908.txt @@ -0,0 +1 @@ + Professional Bio Degrees Ph.D. in Computer Science and Engineering, University of Notre Dame, 2009 MS in Computer Systems, Air Force Institute of Technology, 1999 BS in Computer Science, Indiana University South Bend, 1997 Certifications (ISC)2 Certified Information Systems Security Professional (CISSP) Academic & Professional Experience Regis University, Assistant Professor, Denver, CO, 2017 to present Auburn University, Professor of Aerospace Studies, Auburn, AL, 2012 to 2015 Air Force Institute of Technology, Assistant Professor of Computer Science, Wright-Patterson AFB, OH, 2008 to 2012 United States Air Force, Cyberspace Operations Officer, 1997 to 2017 : diff --git a/src/data/compiled_bios/3909.txt b/src/data/compiled_bios/3909.txt new file mode 100644 index 0000000000..a61b3ee374 --- /dev/null +++ b/src/data/compiled_bios/3909.txt @@ -0,0 +1 @@ + home Home Research Publications Chips Lab People Director Current Students Student Awards Alumni Future Studends Courses Links Contact University of Michigan UNIC Ultra high-speed Nonlinear Integrated Circuit lab does research on the next generations of ultra-high performance analog circuits and systems. The Research Area Our research interests include the application of the mathematical theory of wave propagation to high performance analog circuit design with a special interest in: Novel integrated circuits for mm-wave and terahertz signal generation and processing Finding the fundamental limits of analog circuits and systems Extremely low noise circuits and systems using noise squeezing Low phase noise, wide tuning range voltage controlled oscillators High speed, low power ADC design Scattering theory for electrical media: Optotronics Ultra fast computation using 2-dimensional integrated structures As part of this effort, we have been able to blend multiple disciplines within the fields of electrical engineering, applied physics and mathematics into a coherent research theme resulting in multiple novel circuits for various applications. We design and implement circuits and systems in standard silicon CMOS and BiCMOS technologies as well as GaN substrate; however, the techniques and concepts could be implemented in other technologies or even in other engineering fields (e.g. optics and applied mathematics). diff --git a/src/data/compiled_bios/391.txt b/src/data/compiled_bios/391.txt new file mode 100644 index 0000000000..594295ca7a --- /dev/null +++ b/src/data/compiled_bios/391.txt @@ -0,0 +1 @@ +Name: Raichel, Benjamin:: Position: Assistant Professor:: Degrees: Ph.D., Computer Science, University of Illinois, Urbana-Champaign (2015); M.S., Computer Science, University of Illinois, Urbana-Champaign (2011); B.S., double major in Math and Physics, University of Illinois, Urbana-Champaign(2009); Research Interests: Algorithms and Theory; Discrete and Computational Geometry; Randomized and Approximation Algorithms; Major Honors and Awards: Dissertation Completion Fellowship (UIUC, 2014-2015); Andrew and Shana Laursen Fellowship for recruitment of top graduate students(UIUC, 2011-2012); Bronze Tablet Award Recipient (UIUC, 2009); National Science Foundation Early Career Development (CAREER) Award; RepresentativePublications: A. Blum, S. Har-Peled, and B. Raichel. Sparse approximation via generating point sets.In Proc. 27th ACM-SIAM Sympos. Discrete Algs. (SODA), 2016. To appear.; S. Har-Peled and B. Raichel. Net and prune: A linear time algorithm for euclideandistance problems. To appear in the Journal of the ACM (JACM), 2015. Preliminaryversion in Proc. 45th Annu. ACM Sympos. Theory Comput. (STOC), pages 605614,2013.; A. Nayyeri and B. Raichel. Reality distortion: Exact and approximate algorithms forembedding into the line. In Proc. 56th Annu. IEEE Sympos. Found. Comput. Sci.(FOCS), 2015. To appear.; S. Har-Peled and B. Raichel. On the complexity of randomly weighted multiplicativeVoronoi diagrams. Discrete Comput. Geom., 53(3):547568, 2015. SoCG 2014 specialissue.; S. Har-Peled and B. Raichel. The Frchet distance revisited and extended. ACM Trans.Algo., 10(1):3:13:22, 2014. Preliminary version in Proc. 27th Annu. Sympos. Comput.Geom. (SoCG), pages 448457, 2011.; Notable Service: Instructor for graduate algorithms course at UT Dallas.; Reviewed papers for the following conferences: (i) SODA (2016, 2015, 2014) (ii) SoCG(2015, 2014, 2013) (iii) ESA (2015, 2013) (iv) COCOA (2015) (v) SWAT (2014) (vi)ISAAC (2011); Reviewed papers for the following journals: (i) Algorithmica (ii) CGTA (iii) DCG (iv)SICOMP (v) TALG; diff --git a/src/data/compiled_bios/3910.txt b/src/data/compiled_bios/3910.txt new file mode 100644 index 0000000000..13645ac986 --- /dev/null +++ b/src/data/compiled_bios/3910.txt @@ -0,0 +1 @@ + Ethem Erkan Aktakka, Ph.D. Ethem Erkan Aktakka, Ph.D. Menu Skip to content About Research Publications Patents Service Awards & Honors News Gallery About I am an Assistant Research Scientistin the Department of Electrical Engineering and Computer Science at the University of Michigan, Ann Arbor. I completed myPh.D. (2012) and M.S. (2008) in circuits and microsystems field under Prof. Khalil Najafis supervision at the University of Michigan, and hold a B.S. (2006) from Middle East Technical University, all in electrical engineering. Myresearch interests include MEMS and microsystems, micro mechatronics,smart materials and structures, micro energy harvesting, integrated power management circuits, self-adaptive and multi-functional microsystems, micro actuation and sensing platforms, wearable and flexible transducers, advanced microfabrication and heterogeneous integration processes, and devices for internet-of-things. Ethem Erkan Aktakka,Ph.D. Assistant Research Scientist Electrical Engineering and Computer Science Department University of Michigan, Ann Arbor aktakka@umich.edu Cell: +1-734-272-3170 1301 Beal Ave., EECS Dept. Office: 2001, Mail: 2417 University of Michigan Ann Arbor,MI 48109-2122,USA Search for: Powered by WordPress.com . Post to Cancel diff --git a/src/data/compiled_bios/3911.txt b/src/data/compiled_bios/3911.txt new file mode 100644 index 0000000000..ebac0fdfde --- /dev/null +++ b/src/data/compiled_bios/3911.txt @@ -0,0 +1 @@ + Laura Balzano Laura Balzano Home Bio Publications Projects Matrix Completion Sparsity and Non-Linearity Subspace Clustering Subspace Tracking Fault and Calibration Active Learning Applications Courses SPADA lab Code News Contact Laura Home I am an Assistant Professor in Electrical Engineering and Computer Science at the University of Michigan, Ann Arbor. I lead the Signal Processing Algorithm Design and Analysis (SPADA) lab. You can find my CV here , updated November 2018. My research projects are in statistical signal processing, matrix factorization, and optimization, particularly dealing with large and messy data. I have worked in the areas of online algorithms, non-convex formulations for matrix factorization, compressed sensing and matrix completion, network inference, and sensor networks. My interests are theoretical, however, my favorite mathematical problems are motivated by fascinating and important engineering problems. Recent News Army Young Investigator I am very excited that my project Mathematics for Learning Nonlinear Generalizations of Subspace Models in High Dimensions has won the Army Young Investigator award! Subspace models are widely used due to simplicity and ease of analysis. However, while these linear models are very powerful in many high-dimensional data contexts, they also often miss out on important nonlinearities in real data. This project aims to extend recent advances in signal processing to the single-index model and the nonlinear variety model. Read the departments announcement here . Postdoc Opportunity at the University of Michigan to begin in spring 2019. Please email Laura Balzano < girasole@umich.edu > with the subject Joining the Balzano lab postdoc 2019 if you are interested. We are seeking a postdoc who is interested in applying machine learning techniques to real-time dynamic data analysis. While machine learning has advanced significantly over the last decade, its application to dynamic time-varying data is still in its infancy. This project will focus on three ML areas: online learning, stochastic gradient methods, and streaming PCA. We will work on theory to understand how the standard approaches behave when the data are time-varying, develop appropriate models for time-varying data, and develop novel approaches along with convergence theory. Our main applications focus will be power systems engineering and computer vision. In power systems, we will develop methodologies to infer the real-time behavior of aggregations of distributed energy resources from hierarchical, heterogeneous, and incomplete measurements of power system quantities. In computer vision, we will develop real-time algorithms for object tracking and activity recognition in video. Optimally Weighted PCA for High-dimensional Heteroscedastic Data Today I had the opportunity to speak about very recent results by my student David Hong (joint work also with Jeff Fessler) in analyzing asymptotic recovery guarantees for weighted PCA for high-dimensional heteroscedastic data. In the paper we recently posted online , we have asymptotic analysis (as both the number of samples and dimension of the problem grow to infinity, but converge to a fixed constant) of the recovery for weighted PCA components, amplitudes, and scores. Those recovery expressions allow us to find weights that give optimal recovery, and the weights turn out to be a very simple expression involving only the noise variance and the PCA amplitudes. To learn more, watch my talk here, and let us know if you have any questions! Copyright Copyright Notice : This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. Return to top of page Copyright 2019 Streamline Theme on Genesis Framework WordPress Log in diff --git a/src/data/compiled_bios/3912.txt b/src/data/compiled_bios/3912.txt new file mode 100644 index 0000000000..82f1cfec51 --- /dev/null +++ b/src/data/compiled_bios/3912.txt @@ -0,0 +1 @@ + Example UM Home Page February 18, 2019 Example UM Home Page This xhtml file is located in AFS at: /afs/umich.edu/user/b/e/becher/Public/html/index.html If you are the owner of this page, you should modify it to suit your own needs. Please visit our how-to pages to learn about customizing your new web page. This example page is written using the XHTML 1.1 standard so it should work properly in any modern web browser ( including PDAs, cellular phones, screen readers, and similar devices ). You can visit the W3C's MarkUp page to learn about html standards. last updated: December 11, 2002 diff --git a/src/data/compiled_bios/3913.txt b/src/data/compiled_bios/3913.txt new file mode 100644 index 0000000000..2d8c4847d3 --- /dev/null +++ b/src/data/compiled_bios/3913.txt @@ -0,0 +1 @@ +Dmitry Berenson Dmitry Berenson Assistant Professor Electrical Engineering and Computer Science Dept. College of Engineering University of Michigan Office: 3217 EECS Office Phone: 734-764-4377 Email: berenson [at] eecs.umich.edu Home Research Publications Software Outreach About Me I received a B.S. in Electrical and Computer Engineering from Cornell University in 2005, where I started my robotics work in Hod Lipson's lab . I went on to graduate from the Ph.D. program at the Robotics Institute at Carnegie Mellon University (CMU) in 2011, where my advisors were Siddhartha Srinivasa and James Kuffner . While at CMU, I worked in the Personal Robotics Lab and completed interships at the Digital Human Research Center in Japan, Intel Labs in Pittsburgh, and LAAS-CNRS in France. In 2012 I completed a post-doc at UC Berkeley working with Ken Goldberg and Pieter Abbeel . I was an Assistant Professor at WPI 2012-2016. I started as an Assistant Professor in the EECS Department at the University of Michigan in 2016. I am also a member of the Michigan Robotics Institute . My current research focuses on motion planning and manipulation. I have received the IEEE RAS Early Career Award and the NSF CAREER award. Research Focus My research focuses on creating algorithms that allow robots to interact with the world and collaborate efficiently with people. These general-purpose motion planning and manipulation algorithms can be applied to robots that work in homes, factories, and operating rooms. I am interested in all aspects of algorithm development; including creating efficient algorithms, proving their theoretical properties, validating them on real-world robots and problems, integrating them with sensing and higher-level reasoning, and distributing them to open-source communities. I draw on ideas in search, optimization, control theory, and topology to develop these planning algorithms and to prove their properties. I also seek to develop algorithms which can generalize to many types of practical tasks and application areas. See the ARM Lab website for current projects and publications. A recent talk covering our work on deformable object manipulation (at CMU, November 2017): Teaching At University of Michigan: EECS 498: Introduction to Algorithmic Robotics Fall 2017, Fall 2018 EECS 598: Motion Planning Winter 2017, Winter 2018, Winter 2019 At WPI: RBE 550: Motion Planning Spring 2013, Spring 2015, Spring 2016 CS 534: Artificial Intelligence Fall 2013, Fall 2014, Fall 2015 RBE 3001 Unified Robotics III: Manipulation C-term 2014, C-term 2015 diff --git a/src/data/compiled_bios/3914.txt b/src/data/compiled_bios/3914.txt new file mode 100644 index 0000000000..0ff0ab8e73 --- /dev/null +++ b/src/data/compiled_bios/3914.txt @@ -0,0 +1 @@ + Robert Dick Robert's Google Hangouts room Biographical summary People Acknowledgment of support Research interests Publications Courses Professional service Projects and tools Advice for undergraduate Computer Engineers Robert Dick Email: dickrp@umich.edu Phone: 734-763-3329 Associate Professor University of Michigan Department of Electrical Engineering and Computer Science College of Engineering Office: 2417-E EECS Lab: 2341 EECS Student offices: 2431 EECS 1301 Beal Ave. Ann Arbor, MI 48109 Research areas: Computer Engineering, Embedded Systems Member Solid State Electronics Laboratory Adjunct Professor Northwestern University Department of Electrical Engineering and Computer Science Visiting Professor Tsinghua University Department of Electronic Engineering Ph.D. from Princeton University Department of Electrical Engineering Bachelor's degree from Clarkson University Department of Electrical and Computer Engineering diff --git a/src/data/compiled_bios/3915.txt b/src/data/compiled_bios/3915.txt new file mode 100644 index 0000000000..e9c4c9ac7b --- /dev/null +++ b/src/data/compiled_bios/3915.txt @@ -0,0 +1 @@ + Fessler, Jeffrey A.: UM EECS Web page. Jeffrey A. Fessler is the William L. Root Collegiate Professor of EECS. He is a Professor in the ECE Division of the Electrical Engineering and Computer Science department of the College of Engineering, located within the scenic North Campus of The University of Michigan in the terrific town of Ann Arbor , Michigan . He is also affiliated with the Biomedical Engineering Department and with the Division of Nuclear Medicine within the Department of Radiology. The University of Michigan has been rated as the top US public university and is a great place to work. My research interests include medical imaging, tomography, nonparametric estimation, and inverse problems, with current and past projects in X-ray CT, MRI, PET, SPECT, radiation therapy, and image registration. I am interested both in developing algorithms for these problems, as well as analyzing and predicting the properties of these algorithms. My group works on a wide variety of imaging projects, both for medical imaging and some non-medical imaging problems. For a snapshot of our current research, see recent preprints under the "publication" link below. Publications: reprints and preprints Software: Michigan image reconstruction toolbox (MIRT) (for Matlab/Octave). Includes tomography, NUFFT, MRI. Open source and free! Software: ASPIRE image reconstruction software (Free!) Software: TERSE: transmission and emission reconstruction environment for SPECT Software: Vspline (vector spline) smoothing package Results illustrating iterative image reconstruction (picture gallery). Opinions about image reconstruction (outdated) Projects "currently" in progress Prospective interns, students, post-docs, visitors please read this! Group members / dissertations Collaborators Course information EE Curr. Comm. (EECS access only) Biographical information Bibliographies for imaging url public Junk under construction IEEE Transactions on Computational Imaging Machine Learning and AI in imaging: ISBI 2018 Special Session on Smart Imaging Systems 2018 Special issue of IEEE Transactions on Medical Imaging: Machine Learning for Image Reconstruction 2018 Special session on Machine Learning for Computational Imaging at MLSP Imaging Summit 2017: Medical imaging in the era of AI Research in my group has been supported in part by generous GPU donations from NVIDIA , research support from GE Healthcare , Intel Corporation , and KLA-Tencor , as well as state and federal sources. Jeff Fessler 734-763-1434 4431 EECS Bldg., 1301 Beal Ave. University of Michigan Ann Arbor, MI 48109-2122 diff --git a/src/data/compiled_bios/3916.txt b/src/data/compiled_bios/3916.txt new file mode 100644 index 0000000000..fa5251f61d --- /dev/null +++ b/src/data/compiled_bios/3916.txt @@ -0,0 +1 @@ + Flynn Research Group - Home Flynn Research Group Home Research Publications People Past Members Activities Teaching Contact News Flynn research Group Welcome to the Flynn Research Group Website. The Flynn Research Group is a part of the Electrical Engineering and ComputerScience Department at the University of Michigan. RESEARCH Our main interest is in analog and mixed-signal circuits, analog-to-digital conversion, and other interface circuits. These include high-speed serial transceivers, RF transceivers and sensors. Our main focus is on circuits that transfer information between the analog and digital domains. Publications See more about our journal and conference papers. People The Flynn Group is made up of both graduate and undergraduate students with a range of interests within circuit design. Recent News CONGRATULATIONS TO 2018 GRADUATES FROM THE FLYNN GROUP!! Congratulations toSunmin Jang, Ph.D.,Daniel Weyer, Ph.D., and Adam Mendrela, Ph.D.! click here to read more... Congratulations to Daniel Weyer, PhD student in the Flynn group, on having his paper accepted to ISSCC 2018! Daniels paper on an FMCW chirp synthesizer PLL was accepted to the highly prestigious IEEE International Solid-State Circuits Conference (ISSCC) held in San Francisco, CA in February of 2018. In his paper, Daniel describes his work on a digital fractional-N 38GHz PLL and introduces a noise-shaping TDC based on a bandpass delta-sigma modulator. Daniel was spending the fall of 2017 in the bay area where he was doing an internship when he learned that his paper had been accepted. The day when I learned the news was the most memorable day of my internship. My phone went off several times that morning. This is a big deal. Click here for more news Proudly powered by Weebly Home Research Publications People Past Members Activities Teaching Contact News diff --git a/src/data/compiled_bios/3917.txt b/src/data/compiled_bios/3917.txt new file mode 100644 index 0000000000..b40c9ea903 --- /dev/null +++ b/src/data/compiled_bios/3917.txt @@ -0,0 +1 @@ + Optoelectronic Components and Materials Group Optoelectronic Components and Materials Group Prof. Stephen Forrest Home Overview Research People Facilities Contact High Efficiency Semi-transparent Organic Photovoltaic Cells A semi-transparent non-fullerene acceptor organic photovoltaic cell, which can achieve 7% power conversion efficiency with an average transmittance of 45%. You can read about this and other projects on our research page. Accelerated Aging of Organic Photovoltaic Devices A High-intensity LED aging system capable of producing >65 suns equivalent intensity with active water cooling that is capable of testing over a dozen photovoltaic devices in parallel. You can read about this and other projects on our research page. Efficient, Nonintrusive Outcoupling in Organic Light Emitting Devices Using Embedded Microlens Arrays A computer generated schematic depicting an OLED device utilizing a sub-electrode microlens array is shown on the left. A top down image of a fabricated structure is shown to the right demonstrating clarity and transparency. You can read about this and other projects on our research page. Ultra-thin, Light-weight and Flexible OLED with Enhanced Outcoupling A rolled up array of OLED devices fabricated on a flexible parylene substrate that also demonstrates optical outcoupling capabilities. You can read about this and other projects on our research page. Hemispherical Photodiode Imager Arrays A non-planar photodiode imager array demonstrating un-altered pixel resolution upon transfer from a developable 2D surface to a non-developable 3D hemisphere. You can read about this and other projects on our research page. Repeated Non-Destructive Epitaxial Lift-Off (ND-ELO) of III-V thin film grown by MBE and effects on substrate reuse A lifted off 4" diameter epitaxial layer of solar cell active area GaAs bonded to a 25 m Kapton film. You can read about this and other projects on our research page. Deep blue Phosphorescent Organic Light Emitting Diode (PHOLED) A deep blue phosphorescent organic light-emitting diode (PHOLED) based on iridium (III) phosphor. This work is highlighted on IEEE Spectrum. You can read about this and other projects on our research page. News & Recent Events Dejiu Fan, Byungjun Lee and Caleb Coburn demonstrate the topological transformation of an optoelectronic circuit from a plane to a hemisphere without changing the relative spacing of circuit elements. This unique process opens the door to many new applications in conformable and flexible optoelectronic applications. Click for a higher resolution image! Congratulations to Yue Qu for winning the SID Metropolitan Detroit Chapter Academic Award! Links | Opportunities Copyright (c) 2014 Optoelectronic Components and Materials Group All rights reserved. Design by Free CSS Templates . diff --git a/src/data/compiled_bios/3918.txt b/src/data/compiled_bios/3918.txt new file mode 100644 index 0000000000..6fe3886909 --- /dev/null +++ b/src/data/compiled_bios/3918.txt @@ -0,0 +1 @@ + Brian Gilchrist | Electrical and Computer Engineering (ECE) @ Michigan [an error occurred while processing this directive] [an error occurred while processing this directive] [an error occurred while processing this directive] Department of Electrical Engineering and Computer Science Department of Climate and Space Sciences and Engineering Research Group Space Electrodynamics and Tether Systems Lab/Program Affiliations Radiation Laboratory (EECS) Space Physics Research Laboratory / EXTRM LABS (CoE) Plasmadynamics and Electric Propulsion Lab (AERO) Multidisciplinary Design Program Education Ph.D. in Electrical Engineering, 1991, Stanford University M.S. in Electrical Engineering, 1979, University of Illinois, Urbana B.S. in Electrical Engineering, 1977, University of Illinois, Urbana Current Research Interests Investigations of plasma electrodynamics with emphasis to space electrodynamic tethered systems, electric propulsion applications, and electron and ion beam effects (e.g. cold-cathode field emission cathodes, relativistic beams) Plasma diagnostics (e.g. microwave/millimeter wave interferometer, Langmuir Probes, floating potential monitors) Spacecraft technology Teaching EECS 430/AOSS 431: Radiowave Propagation and Link Design ENG 490: Multidisciplinary Capstone Design Pilot EECS College of Engineering University of Michigan The Regents of the University of Michigan diff --git a/src/data/compiled_bios/3919.txt b/src/data/compiled_bios/3919.txt new file mode 100644 index 0000000000..46e77d9e17 --- /dev/null +++ b/src/data/compiled_bios/3919.txt @@ -0,0 +1 @@ + Rachel S. Goldman UMich MSE Rachel S. Goldman UMich MSE Skip to Main Content Materials Science & Engineering About Us Overview & Mission Welcome from the Chair What is MSE? Maps & Directions Contact Academics Undergraduate Study Overview Admissions Objectives & Outcomes Curriculum Undergraduate Courses Advising Declare MSE MSE Minor Research Opportunities SURE/SROP Scholarships Student Organizations Continuous Improvement Van Vlack Lab Graduate Study Overview Admissions Curriculum Graduate Courses Graduate Advising & Forms GSI Information Grad Student Council Interdisciplinary Programs Research Overview Facilities Hanawalt XMAL Equipment Booking Centers People Directory Faculty Adjunct Faculty Emeritus Faculty Staff Research Faculty and Lecturers News & Events Overview News Events Videos Outreach Faculty Awards Newsletters Alumni News Giving Newsletters Robert D. Pehlke Lectureship Alumni Merit Awards Distinguished Alumni Lecture External Advisory Board Right item 1 Right item 2 Right item 3 CONNECT WITH US: About Us Overview & Mission Welcome from the Chair What is MSE? Maps & Directions Contact Academics Undergraduate Study Overview Admissions Objectives & Outcomes Curriculum Undergraduate Courses Advising Declare MSE MSE Minor Research Opportunities SURE/SROP Scholarships Student Organizations Continuous Improvement Van Vlack Lab Graduate Study Overview Admissions Curriculum Graduate Courses Graduate Advising & Forms GSI Information Grad Student Council Interdisciplinary Programs Research Overview Facilities Hanawalt XMAL Equipment Booking Centers People Directory Faculty Adjunct Faculty Emeritus Faculty Staff Research Faculty and Lecturers News & Events Overview News Events Videos Outreach Faculty Awards Newsletters Alumni News Giving Newsletters Robert D. Pehlke Lectureship Alumni Merit Awards Distinguished Alumni Lecture External Advisory Board Info Home People Rachel S. Goldman Rachel S. Goldman Professor rsgold@umich.edu 2094 H.H. Dow Building T: (734) 647-6821 Bio Projects Publications Research Facilities Group EDUCATION: B.S. (Physics), University of Michigan, 1988 M.S. (Applied Physics), Cornell University, 1992 Ph.D. (Materials Science), University of California, San Diego, 1995 ALSO: Professor of Electrical Engineering & Computer Science, and Physics Associate Director, Applied Physics http://www.researcherid.com/rid/J-9091-2012 CURRENTLY TEACHING: MSE250 Principles of Engineering Materials RESEARCH INTERESTS: In the Goldman Research Group, we develop strategies for manipulating and identifying atoms in functional inorganic materials for high efficiency solar cells, long-wavelength light-emitters and detectors, high temperature electronics, spintronics, and quantum computing. Our emphasis is on understanding processing-structure-property correlations in semiconductor films, nanostructures, and heterostructures. We are primarily experimentalists using ultra-high vacuum techniques including molecular-beam epitaxy (million buck evaporator), scanning tunneling microscopy (STM), and both blanket and focused ion implantation. We have recently developed computational efforts aimed to assist in our understanding of solute incorporation in alloys (Monte Carlo-Molecular Dynamics simulations of ion-solid interactions) and plasmon-enhanced light-emission from semiconductor nanocomposites (electromagnetic simulations of light-matter interactions) PRIOR EXPERIENCE: Academic experience University of Michigan Applied Physics, Associate Director, 2010- present Materials Research Science and Engineering Center, Education Director, 2011-17 Energy Frontiers Research Center, Associate Director, 2009-14 MSE, Graduate Program Advisor, 2008-12 MSE, EECS and Physics, Professor, 2008-present Physics, Associate Professor, 2007 EECS, Associate Professor, 2004-07 MSE, Associate Professor, 2003-07 MSE, Assistant Professor, 2000-03 MSE, Dow Corning Assistant Professor, 1997-99 Harvard University Engineering & Applied Sciences, Visiting Scientist, 2006 Radcliffe, Augustus Anson Whitney Fellow, 2005-06 Carnegie Mellon University , Physics, Postdoctoral Fellow, 1996-97 Non-academic experience Thomson CSF , Laboratoire Central de Recherches (Orsay, France), Research Assistant, 1988 Brookhaven National Laboratory (Upton, NY), Research Assistant, 1986 AWARDS AND SERVICE: Awards National and International (recent and selected) Fellow of the American Physical Society, 2012 Fellow of the American Vacuum Society, 2012 Sigma Xi, The Scientific Research Society, 2008 Augustus Anson Whitney Fellow, Radcliffe Institute, Harvard, 2005-06 Best Student Oral Presentation (Advisor), Electronic Materials Conference, 2004 Peter Mark Memorial Award, American Vacuum Society, 2002 National Science Foundation Career Award, 1998-2003 MRS Graduate Student Award (equivalent to Gold Award), 1994 Minnesota Educational Computer Consortium Contest, 1st place award, 1978 University, College, Department (recent and selected) Senior Fellow, Michigan Society of Fellows, 2017-21 Distinguished Faculty Achievement Award, 2016 Senior Fellow, Sweetland Writing Center, 2014 Monroe-Brown Foundation Service Excellence Award, 2011 Outstanding Achievement Award, 2010 Ted Kennedy Family Team Excellence Award, 2004 Dow Corning Assistant Professorship, 1997-1999 Williams Award, Physics Department, 1988 Alumni Giving Scholarship, 1984 Service activities National and International Department of Energy, Center for Integrated Nanotechnologies, Scientific Advisory Committee, 2017-2020 Swedish Academy of Sciences, Goran Gustafson Prize Award Committee, 2016 National Academies of Sciences, Engineering, and Medicines Report: Assessment of Solid-State Lighting, Phase 2, Reviewer, 2016 Department of Energy, Basic Energy Sciences, Committee of Visitors, 2013 National Renewable Energy Laboratory, Energy Frontiers Research Center, Advisory Committee, 2011-2015 Program Chair, North American Conference on Molecular Beam Epitaxy, 2011 Program Chair, Physics and Chemistry of Semiconductor Interfaces, 2008 Editorial (recent) Associate Editor, Journal of Applied Physics, 2017 present Editorial Board, MRS News, 2012present Associate Editor, Journal of Electronic Materials, 200217 Associate Editor, Journal of Vacuum Science and Technology, 200106 University and College (recent) Member, President's Honorary Degree Committee, 2017-20 Member, Dean's Advisory Committee on Female Faculty, 2017-20 Member, CoE Executive Committee, 2014-17 Member, LSA Sweetland Writing Center Executive Committee, 2015-18 Member, Senate Advisory Committee on University Affairs, 2010-13 Member, Provosts Capital Projects Review Committee, 2010-13 Member, General Counsels Advisory Committee, 2010-16 Member, Student Relations Advisory Committee, 2010-16 Member, Rackham Divisional Board, 2003-05 Member, Academic Senate Assembly, 2002-05 Faculty Advisor, Society of Women Engineers, 1998-2003 MSE Department Chair, Curriculum Committee, 2013-14 Chair, Graduate Committee, 2008-12 Graduate Program Advisor, 2008-12 Member, Chair's Advisory Committee, 2007-11 Member, Graduate Committee, 2003-13 Chair, Advanced Materials & Processing Education Center Taskforce, 1998-2003 Member, Undergraduate Committee, 1997-2003 Leadership in professional organizations AVS Science & Technology Society Trustee (2009-11); Board of Directors (2005-08) Chair, Vice-Chair, Electronic Materials & Processing Division (200204) Chair, Vice-Chair, Michigan Chapter (199799) The Minerals, Metals, and Materials Society John Bardeen Award Committee (2006-09) Electronic Materials Committee (2003-09; 2016-19) American Physical Society Member-at-Large, Forum on Industrial & Applied Physics (200710) Founding Advisory Committee, Topical Group on Energy Research, 2009 MSE People Directory Faculty Adjunct Faculty Emeritus Faculty Research Faculty and Lecturers Staff About People Research Internal Academics News & Events Alumni CONNECT WITH MSE About Research Academics Admissions Departments Giving Info for you 2016 THE REGENTS OF THE UNIVERSITY OF MICHIGAN Ann Arbor, MI 48109 USA | campus SAFETY | U-M Home | | Log in diff --git a/src/data/compiled_bios/392.txt b/src/data/compiled_bios/392.txt new file mode 100644 index 0000000000..00c5166434 --- /dev/null +++ b/src/data/compiled_bios/392.txt @@ -0,0 +1 @@ +Name: Razo Razo, Miguel:: Position: Senior Lecturer:: Degrees: PhD Computer Science; MS Telecommunications Engineering; MS Electrical Engineering; Research Interests: Cloud computing; Aspects of optical networks: high speed photonic network planning, fault protection; Telecommunication software design; Protocol design; Network modeling, emulation and simulation; Five Most Recent Publications: Wang, Y. Fei, M. Razo, A. Fumagalli, M. Garrich, A. D. Andrade, M. S. Svolenski, and H. S. Carbalho. Effects of signal power control strategies and wavelength assignment algorithms on circuit OSNR in WDM networks. Photonic Network Communications, 2016.; Kim, X. Wang, S. Yan, M. Razo, M. Tacca, and A. Fumagalli. Blocking Fairness in Two-Service EONs with Uneven Arrival Rates. Proceedings of the 17th International Conference on Transparent Optical Networks, July 2015.; Jos-Joel Gonzalez-Barbosa, Jos-Guadalupe Rico-Espino, Roberto-Augusto Gmez-Loenzo, Hugo Jimnez-Hernndez, Miguel Razo, Ricardo Gonzalez-Barbosa. Accurate 3D reconstruction using a turntable-based and telecentric vision. Automatika Journal, 2015.; Wang, Y. Fei, M. Razo, A. Fumagalli, and M. Garrich. Network-wide Signal Power Control Strategies in WDM Networks. Proceedings of the 19th International Conference on Optical Network Design and Modeling (ONDM 2015), May 2015.; Fei, Y. Jayabal, Z. Lu, M. Razo, M. Tacca, A. Fumagalli, R. Hui, G. M. Galimberti and G. Martinelli. WA-Method-TLV Improves Reliability of GMPLS WDM Networks Against Multiple Link Failures. Proceedings of the International Conference on Computing, Networking and Communications, February 2015.; Major Honors and Awards: Best Paper Award: ISCC 2010, ONDM 2015; Best Poster Award, MASCOTS 2009; Complimentary Scholarship for Doctoral Studies (SEP-Mexico) 2006-2007; Full Scholarship for Doctoral Studies (CONACyT-Mexico) 2005-2007; Full Scholarship for Master Degree Studies (CONACyT-Mexico) 2000-2001; diff --git a/src/data/compiled_bios/3920.txt b/src/data/compiled_bios/3920.txt new file mode 100644 index 0000000000..3b6fbb0bb8 --- /dev/null +++ b/src/data/compiled_bios/3920.txt @@ -0,0 +1 @@ + Brent Griffin Home Research Publications Other Experience About Brent Griffin Home Research Publications Other Experience About Robotics + Perception + Control Hi, I'm Brent Griffin. I am an assistant research scientist at the University of Michigan conducting research in robotics and computer vision. I am passionate about pushing the boundaries of robotics, and I enjoy learning and developing new methods. My academic research interests include perception, reasoning, and control on physical robot systems and applications of wireless power transfer. In addition to this academic work, I have electro-mechanical system design and manufacturing experience in the aerospace and scientific instrument industries. my research About me Back to Top Powered by Squarespace diff --git a/src/data/compiled_bios/3921.txt b/src/data/compiled_bios/3921.txt new file mode 100644 index 0000000000..ebbe2fc54d --- /dev/null +++ b/src/data/compiled_bios/3921.txt @@ -0,0 +1 @@ + Jessy Grizzle | Electrical and Computer Engineering (ECE) @ Michigan Jessy Grizzle Elmer G. Gilbert Distinguished University Professor Jerry W. and Carol L. Levin Professor of Engineering Jessy Grizzle Elmer G. Gilbert Distinguished University Professor Jerry W. and Carol L. Levin Professor of Engineering Home Projects Publications Publications Home Biped Robots Automotive Control Nonlinear Control Theory Semiconductor Manufacturing Models Coded in MATLAB Biped Control Book Google Scholar IEEE Xplore Robot Videos Bipedal Homepage RABBIT MABEL Biped Control Book YouTube Channel ROBEA Home Page Publicity Photos PhDs and Post Docs Applying for an RA? Links Jessy W. Grizzle Elmer G. Gilbert Distinguished University Professor Jerry W. and Carol L. Levin Professor of Engineering Director of Robotics University of Michigan EECS Department Electrical & Computer Engineering 1301 Beal Ave. (3215 EECS Bldg.) Ann Arbor, MI 48109 Tel: (734) 763-3598 Fax: (734) 763-8041 Email: Jessy W. Grizzle is a (full) Professor in the Control Systems Laboratory of the Electrical Engineering and Computer Science Department within the College of Engineering at The University of Michigan in Ann Arbor , Michigan . He is the Director of Michigan Robotics and a member of the ECE Systems Laboratory and the Robotics and Computer Vision Area . He has a courtesy appointment in Mechancial Engineering . The activity at Michigan in control systems is very interdisciplinary and moves easily across traditional departmental boundaries. We maintain a very active College of Engineering Control Seminar Series . Additional EECS Control Lab information is available here. For more fun stuff, see the EECS YouTube Home Page . Research Homepage Curriculum Vitae and IEEE-Style BIO Grizzle`s Pubs at Google Scholar YouTube Channel (Robot Videos). Maps of Campus, and Driving Directions. Directions to the Bipedal Robot Laboratory WebCam of the Robotics Institute: $75M, 143,000 sq. ft (13,285 m^2) Fly Through of the Robotics Institute: Our GitHub site Open-source Software for Estimation and Control Our newest robot , Cassie (Go) Blue ! MARLO and MABEL videos are available on YouTube: Michigan Robotics: Dynamic Legged Locomotion Channel . Robots everywhere in our College of Engineering Michigan Robotics Rocks! This is Michigan Engineering 2012 . Robots are featured widely in UofM media: Michigan Halftime Video Victors for Michigan Campaign video short (MABEL is at 0:16) and long version (MABEL is at 2:01). MABEL goes to the Field Museum in Chicago. Book: Feedback Control of Dynamic Bipedal Robot Locomotion co-authored with Eric R. Westervelt, Christine Chevallereau, Jun-Ho Choi, and Benjamin Morris, published by Taylor & Francis in June, 2007, is available for free download . It treats virtual constraints and hybrid zero dynamics for the creation of asymptotically stable periodic motions in hybrid systems. I would also suggest the following papers that significantly extend these methods: Machine Learning , Robust Optimization , and Bilinear Matrix Inequalities (BMI) , and the excellent 2018 HZD Review paper by Ames and Poulakakis , as well as these survey works: Book Chapter In: Goswami A., Vadakkepat P. (eds) Humanoid Robotics: A Reference. Springer, Dordrecht and 2015 Survey on HZD in Automatica . My primary research area used to be the theory of nonlinear control systems. While I still have strong interest in this subject and feel a sense of community with that body of researchers, my research activities have significantly broadened over time. My work now covers the control of bipedal robots and correct-by-construction control methods for Adavanced Driver Assist Systems. From 1986 to 2010, I worked on various apsects of modeling and control of automotive powertrain systems and control of HEVs. From 1991-2001, I applied systems and control techniques to improve the operation of plasma-based microelectronics manufacturing equipment. EECS College of Engineering University of Michigan The Regents of the University of Michigan diff --git a/src/data/compiled_bios/3922.txt b/src/data/compiled_bios/3922.txt new file mode 100644 index 0000000000..fea8504879 --- /dev/null +++ b/src/data/compiled_bios/3922.txt @@ -0,0 +1 @@ + guo group Home Research Members Publications Affiliations SSEL EECS Applied Physics Macro MSE Mechanical Engineering Archive guo group Organic Solar Cells, Nanoimprinting, Color Filters, Polarizers, Plasmonics, Photonics, Photo-Acoustic, Bio Sensors, Nanofluidics, Nanoelectronics Home Research Members Publications Affiliations SSEL EECS Applied Physics Macro MSE Mechanical Engineering Archive Menu Professor L. Jay Guo In the News Transparent Silver Films L. Jay Guo featured on NBC Organic solar cells Tapered Hyperbolic Metamaterial Array Small, Simple Terahertz Detector Converts The Pulses To Sound Form with Function: decorative solar cells Nanoimprinting Cleaving of cell clusters by laser-generated focused ultrasound: Nature, BBC Carbon nanotube 'space camouflage' coating invented Plasmonic Lithography for Patterning High Aspect-Ratio Nanostructures Transparent Silver : Tarnish-proof films for flexible displays, touch screens Eurekalert . Phys.org , Popular Science , Science Daily L. Jay Guo's Research featured on NBC Learn:Working at the nanoscale, scientists and engineers, like Jay Guo of the University of Michigan, are creating protective nanoscale coatings and layers. An Ultrathin, Smooth, and Low-Loss Al-Doped Ag Film and Its Application as a Transparent Electrode in Organic Photovoltaics Small, Simple Terahertz Detector Converts The Pulses To Sound : IEEE , EE Times Transparent, Color, Solar cells fuse energy and beauty : Gizmag , Compmag Peacock feathers form basis for reflective displays, could bring color to e-readers soon: Engadget , Verge , BBC , Technology Review , Nature -Scientific Reports Plasmonic nano-resonators for color filtering and spectral imaging: Nature Communications , Technology Review, R&D Magazine, Popular Science Terahertz Detectors Go Handheld The terahertz gap is a sliver between the microwave and infrared bands of the electromagnetic spectrumthe range of light's wavelengths and frequencies. That spectrum spans from the longest, low-energy radio waves that can carry songs to our receivers to the shortest, high-energy gamma rays that are released when nuclear bombs explode and radioactive atoms decay. In between are the microwave frequencies that can cook food or transport cell phone signals, the infrared that enables heat vision technologies, the visible wavelengths that light and color our world, and X-rays that give doctors a window under our skin. The terahertz band is "scientifically rich," according to Guo and colleagues. But today's detectors either are bulky, need to be kept cold to work or can't operate in real time. That limits their usefulness for applications like weapons and chemical detection and medical imaging and diagnosis, Guo says. Guo and colleagues invented a special transducer that makes the light-to-sound conversion possible. A transducer turns one form of energy into another. In this case it turns terahertz light into ultrasound waves and then transmits them. Colored Decorative Solar Cells Colored, see-through solar cells invented at Michigan Engineering (guo's lab) could enable 'stained' glass windows, decorative panels and even shade that makes electricity.The cells, believed to be the first semi-transparent, colored photovoltaics, have the potential to vastly broaden the use of the energy source, says Jay Guo, a professor of electrical engineering and computer science, mechanical engineering, and macromolecular science and engineering who devised them.They're made with a technique that borrows from conventional inorganic solar cells and more up-and-coming organic cells. Their color isn't derived from dyes, but rather from adjusting the thickness of their semiconductor layer to reflect certain wavelengths of light. "I think this offers a very different way of utilizing solar technology rather than concentrating it in a small area," Guo said. "We think we can make solar panels more beautiful -- any color a designer wants. And we can vastly deploy these panels, even indoors." (source) A Simple Filter Could Make LCDs More Efficient: Normally, LCDs use several layers of optical devices to colorize, polarize, and shutter light from a backlight, and inefficiencies emerge at every step. Now researchers at the University of Michigan have made an optical film that promises to boost the overall efficiency of LCDs by more than 400 percentso that 36 percent of light makes it through. The new optical film was developed by researchers led by L. Jay Guo, professor of electrical engineering and computer sciences at the university. The film colors and polarizes the light that passes through an LCD more efficiently than conventional components can. (Source) Solar Energy Harvesting of Waste Heat from Displays: Researchers at the University of Michigan and the Chinese Academy of Science have developed a new kind of screen pixel that doubles as a solar cell and could boost the energy efficiency of cell phones and e-readers.The researchers developed a reflective photovoltaic color filter device that converts absorbed light to electricity. Reflective color filters produce visible color by absorbing certain wavelengths of light and reflecting, which is similar to the way that paint produces color. The researchers constructed filters for producing cyan, magenta, and yellow. (Source) Nano Printing Goes Large: A printing technique that could stamp out features just tens of nanometers across at industrial scale is finally moving out of the lab. The new roll-to-roll nanoimprint lithography system could be used to cheaply and efficiently churn out nano-patterned optical films to improve the performance of displays and solar cells. So far, however, its been difficult to scale up nanoimprint lithography reliably. To achieve the resolution needed to print transistors, for example, its necessary to use a flat stamp thats a few centimeters square and must be repeatedly moved over a surface. This isnt practical when printing large-area films for many other applications. Displays and solar cells require printing over a much larger area and then cutting it up into sheets, says Jay Guo , associate professor of electrical engineering and computer science at the University of Michigan. You have to do it in a continuous fashion. (Source) Big and Bright Flexible Display: Organic light-emitting diode (OLED) displays are attractive because they are bright, efficient, and thin enough to be flexible. But they are currently limited to use in small displays, such as those in mobile phones. Thats in part due to the failings of one piece of the device, a transparent electrode used to light up the display. Now researchers at the University of Michigan have developed a new type of electrode that could help clear the way for large, flexible OLED displays.The new electrode is a grid of highly conductive metal wires so thin that they are essentially transparent. Electrical-engineering and computer-science professor L. Jay Guo says that the electrode should be more flexible and less expensive than ITO, while not degrading the organic materials. (Source) All content is for demonstration purposes only. Credits: Images on this site belong to McKenzie Powell Floral & Event Design . diff --git a/src/data/compiled_bios/3923.txt b/src/data/compiled_bios/3923.txt new file mode 100644 index 0000000000..7082de7c5e --- /dev/null +++ b/src/data/compiled_bios/3923.txt @@ -0,0 +1 @@ + Ian A Hiskens Home Page Ian A Hiskens Vennema Professor of Engineering Department of Electrical Engineering and Computer Science University of Michigan 1301 Beal Avenue Ann Arbor, MI 48109 USA Room: 4437 EECS Tel: (734) 615-7076 Fax: (734) 763-8041 Email: hiskens[at]umich.edu Do not conform to this world, but be transformed by the renewing of your mind. Romans 12:2 Teaching Fall 2018: EECS598 Infrastructure for Vehicle Electrification Winter 2019: EECS498 Grid Integration of Renewable Energy Sources Prospective graduate students: Please note that I receive many emails every day asking about graduate studies. It is impossible to answer them all. I am always seeking outstanding graduate students, and welcome applications from students who excel in mathematics and power system analysis. Updated: March 28, 2018 diff --git a/src/data/compiled_bios/3924.txt b/src/data/compiled_bios/3924.txt new file mode 100644 index 0000000000..2d5eb9c8d9 --- /dev/null +++ b/src/data/compiled_bios/3924.txt @@ -0,0 +1 @@ + The Kanicki Laboratory - Displays and Detectors College of Engineering | Department of Electrical Engineering and Computer Science | ECE Division Contact Information: The Kanicki Laboratory 2307A EECS Bldg 1301 Beal Ave. Ann Arbor, MI, 48109-2122 Tel: (734) 936-0964 (Office) Tel: (734) 936-0972 (Student office) Tel: (734) 615-6363 (The Kanicki Lab) Fax: (734) 615-2843 Email: kanicki@eecs.umich.edu Shipping Info: Click Here This is the homepage of Professor Jerzy Kanickis Displays and Detectors laboratory in the EECS department at the University of Michigan, Ann Arbor, Michigan. We are part of the Solid-State Electronics Laboratory http://www.mnf.umich.edu/ within ECE division of the EECS department. This Inorganic and Organic Thin-Film Devices and Circuits research group was established when Dr. Jerzy Kanicki joined the University of Michigan in the fall of 1994 after working for twelve years at the IBM Research Division T.J. Watson Research Center http://www.watson.ibm.com/index.shtml , Yorktown Heights, New York. During the first five years this group, in collaboration with the flat panel industries, was doing leading work on the hydrogenated amorphous silicon (a-Si:H) thin-film transistor (TFT) active-matrix liquid crystal displays (AM-LCDs). Both the transmissive and reflective flat panel displays were investigated. Between 2000 and 2006, this group was doing fundamental and applied research on organic and molecular electronics including organic light-emitting devices (OLEDs) and organic field-effect transistors (OFETs). Solution-processed organic materials are only being considered for these devices. The OLED application to active-matrix light-emitting displays (AM-OLEDs) was actively investigated leading to demonstration of several small engineering prototypes. Since 2006, in collaboration with the multi-national industries, this group is developing new knowledge in the metal oxide semiconductor devices and circuits for flat panel displays, and imaging hemispherical detection systems. Today this group still continues to be interested in improving inorganic and organic, and active-matrix arrays technology (including electrical properties and stability, low temperature processing, and new device and circuit structures) for flat panel displays and detectors on flexible plastic substrates. Electronic circuits on flexible substrates are also of interest to this group. In summary, today this group is focusing on interdisciplinary research leading to development of the emerging technologies outside the paradigm of established liquid crystal display and solid-state imager technologies. Fields of Study: Short Channel Amorphous IGZO TFT Arrays: Electrical Properties, Stability, and Density-of-States More... Inverted Organic Photodetectors with DMD Top Illumination Transparent Anode More... Electrochromic Device with Prussian Blue and HPC-based Electrolyte More... Bio-inspired Materials for Electrochemical Devices More... Wafer-scale CMOS Active Pixel Sensor X-ray Detector for Digital Breast Tomosynthesis More... Amorphous InSnZnO Thin-Film Transistor Voltage-Mode Active Pixel Sensor Circuits for X-Ray Imagers More... High Mobility dc Sputtered Amorphous In-Sn-Zn-O Thin-Film Transistors More... Complete 3-D Image Simulation Framework for DBT Optimization More... Composition Analysis of Amorphous IGZO TFT under Positive Bias Temperature Stress More... Time of Flight SIMS Analysis of a-IGZO Thin Film Transistors Subjected to Bias Temperature Stress Fabricated on Different Glass Substrates and on Silicon More... Oxygen Flow Effects on Electrical Properties, Stability, and Density of States of Amorphous In-Ga-Zn-O Thin-Film Transistors More... Dynamic Response of Amorphous In-Ga-Zn-O Thin-Film Transistors for 8K4K Ultra-High Definition Active-Matrix Liquid Crystal Displays More... Density of States of Amorphous In-Ga-Zn-O More... AC Bias-Temperature Stress Stability of a-InGaZnO Thin-Film Transistors More... Copyright 2016 The Kanicki Laboratory | Site design: Academic Web Pages diff --git a/src/data/compiled_bios/3925.txt b/src/data/compiled_bios/3925.txt new file mode 100644 index 0000000000..5ff75c2483 --- /dev/null +++ b/src/data/compiled_bios/3925.txt @@ -0,0 +1 @@ +P.-C. Ku Professor P.-C. Ku Electrical Engineering 1301 Beal Av/2245 EECS Ann Arbor, MI 48109 +1 (734) 764.7134 University of Michigan Department of Electrical Engineering & Computer Science Nanophotonics and Nanofabrication Group Home People Research Teaching Lab Contact Internal Research Interests Our research focuses on "Energy Efficient Optoelectronics". For example, we are interested in how to reduce the laser threshold, how to increase the efficiency of light-emitting diodes and solar cells, how to efficiently transmit the data while maintaining the security, and how to reduce the power requirement for nonlinear optical devices. To achieve this goal, we investigate nanophotonic devices and related nanofabrication techniques. In other words, we study and control light-matter interactions in nanoscale materials and structures, aiming to improve efficiencies of optoelectronic devices and systems. The applications are far reached with examples including energy efficient lighting and renewable energy, data communication and signal processing, data storage, display, biomedical diagnosis, and quantum information science. Our current research can be divided into three interrelated thrusts: gallium nitride optoelectronic devices, nano-optoelectronic devices, and nano materials synthesis, processing, and integration . Gallium Nitride Optoelectronic Devices Gallium nitride (GaN) and related nitride semiconductors, AlN and InN, exhibit direct bandgaps across the ultraviolet, visible, and near-infrared spectrum. Furthermore, they exhibit large exciton binding energy and oscillator strength. Therefore nitride semiconductors can find applications ranging from energy efficient lighting to solar cells, display to data storage, and biomedical diagnosis to quantum information processing. In this thrust, we study GaN and plasmonic nanostructures in the following devices. Visible light-emitting diodes (LEDs) and applications InGaN quantum dot devices Nitride based solar cells Nano-Optoelectronic Devices Photons are proven information carriers that exhibit large capacity and span long distance. However, unlike electrons, photons cannot be easily stopped or manipulated due to their lack of charges. In addition, the wavelengths of visible and infrared photons are hundreds or thousands of times more than the de Broglie wavelength of the electron, making the photons increadibly difficult to confine to the nanoscale. In this thrust, we study semiconductor and metallic nanostructures in order to achieve the following devices. Nanoscale (sub-wavelength) semiconductor lasers Slow light devices and optical buffers Nanoscale nonlinear optical devices Nano Materials Synthesis, Processing, and Integration To realize or mass produce any of the nanophotonic devices mentioned above, our group is actively pursuing novel nanofabrication techniques in the following three areas. Epitaxial growth of semiconductors Nanolithography Heterogeneous integration of semiconductors, dielectrics, and metals Research Sponsors We gratefully acknowledge the support from DARPA, DOE, NSF, and the University of Michigan. Pei-Cheng Ku Associate Professor University of Michigan EECS Department 1301 Beal Av/2245 EECS Ann Arbor, MI 48109 TEL: +1 (734) 764-7134 peicheng@umich.edu Quick links: University of Michigan College of Engineering EECS Department Solid-State Electronics Lab Lurie Nanofabrication Facility Optics and Photonics Lab Michigan Memorial Pheonix Energy Institute Copyright 2010. All Rights Reserved. Home | P eople | Re search | T eaching | L ab | Contact diff --git a/src/data/compiled_bios/3926.txt b/src/data/compiled_bios/3926.txt new file mode 100644 index 0000000000..af04f3af0f --- /dev/null +++ b/src/data/compiled_bios/3926.txt @@ -0,0 +1 @@ + Main Heading Goes Here Katsuo Kurabayashi , Ph.D . Professor Department of Mechanical Engineering Department of Electrical Engineering & Computer Science University of Michigan , Ann Arbo r katsuo@umich.edu 2272 G.G. Brown Lab 2350 Hayward Street Ann Arbor , MI 48109-2125 Voice: (734) 615-5211 Fax: (734) 647-3170 Click Here for Kurabayashi Lab Website Education B.S. in Precision Engineering, University of Tokyo , 1992 M.S. in Materials Science (Physics of Solids), Stanford University , 1994 Ph.D. in Materials Science with Electrical Engineering minor, Stanford University , 1998 Professional Experiences Professor , Department of Mechanical Engineering , University of Michigan, 2012 - present Department of Electrical Engineering & Computer Science , University of Michigan Macromolecular Science and Engineering, University of Michigan Associate Professor , Department of Mechanical Engineering , University of Michigan, 2006 - 2012 Department of Electrical Engineering & Computer Science , University of Michigan Assistant Professor , Department of Mechanical Engineering, University of Michigan, 2000 - 2006 Assistant Professor, Department of Electrical Engineering & Computer Science, University of Michigan, 2004 - 2006 Research Associate , Department of Mechanical Engineering, Stanford University, 1999 - 2000 Initiated collaboration with IBM Almaden Research Center for studying heat transport phenomena in conductive polymer films as an extension of the thesis research. Helped initiate a DARPA-funded project on development of microfluidic cooling MEMS devices driven by electrokinetics with Dr. Goodson. Summer Intern , Components Research, Intel Corporation, Santa Clara, CA, June 1997 - Sept. 1997 Developed an experimental technique for measuring thermal conductivities of novel dielectric layers and thermal resistance at metal/dielectric interfaces as a technology transfer from academia to industry. The measured thermal parameters are being used in thermal simulations of the next-generation intel microprocessors. Research Assistant , MTMC Lab and Stanford Solid State Electronics Lab, Stanford University, 1994 - 1998 Managed proposal writing, reporting, and company site visits for Semiconductor Research Corporation (SRC) contract 357 (packaging sciences). The contract supported the dissertation research on the thermal transport properties of polymer films, and was chosen by the member companies as a 1998 compelling reason for joining the SRC. Honors and Awards Semiconductor Research Corporation (SRC) Best Paper Award, TECHCON '98, September 1998 International VLSI Multilevel Interconnection Conference Outstanding Paper Award, October 1998 National Science Foundation CAREER Award 2001 - 2005 University of Michigan Robert Caddell Memorial Award 2004-2005 Co-author of SPIE Best Student Paper Award, Optics East 2004 (with Yi-Chung Tung), October 2004 Pi Tau Sigma Outstanding Professor Award, April 2007 named in Who s Who in America 2010 Edition Biographical Information Dr. Kurabayashi received his B.S. degree in Precision Engineering at the University of Tokyo in 1992 and his M.S. and Ph.D. degrees in Materials Science and Engineering with Electrical Engineering Minor from Stanford University, in 1994 and 1998, respectively. Upon completion of his Ph.D. program, he was hired as a Physical Science Research Associate with the Mechanical Engineering Department at Stanford University and participated, for a year, in a DARPA funded project aiming to develop MEMS-based microfluidic technology for future IC cooling. He is Professor of Mechanical Engineering at the University of Michigan, investigating novel actuator and micro-mechanism designs for MEMS, multi-physics domain analysis of RF MEMS, nano-scale thermal energy transport in electronic devices and MEMS structures, and polymer-based microfabrication. He authored and co-authored more than 40 journal and conference papers, two of which received a best paper award (Semiconductor Research Corporation Best Paper Award in 1998, and International VLSI Multilevel Interconnection Conference Outstanding Paper Award in 1998). He is a recipient of the 2001 National Science Foundation (NSF) Early Faculty Career Development (CAREER) Award for his contribution to a study of thermal energy transport in micromachined polysilicon structures at high temperatures. Dr. Kurabayashi has given seminars as an invited speaker at industrial laboratories, such as Xerox Palo Alto Research Center and Lucent Technologies Bell Laboratories between 1999 and 2001 and serves as member of the NSF panel committee for Nanoscale Exploratory Research (NER) Program in 2001. At the University of Michigan, Dr. Kurabayashi has developed a graduate-level course on MEMS. This course covers highly interdisciplinary teaching materials such as semiconductor physics, micromachining, transducer fundamentals, thin-film mechanics, and heat transfer, which are all necessary for designing the modern MEMS-based sensors and actuators. Students from a variety of graduate programs, including Aerospace Engineering, Biomedical Engineering, Chemical Engineering, Civil Engineering, Electrical Engineering and Computer Science, Mechanical Engineering, and Physics, take this course and are asked to make a team effort to propose a new MEMS design using the knowledge obtained through the course. The course project has resulted in two publications and one provisional U.S. patent since the course started in winter, 2000. He has also developed a research laboratory in the Mechanical Engineering Department , Micro Systems Technology and Science Lab (MSTS Lab) , which is currently available full-time for dynamic, thermal, and electrical design and characterization of MEMS and electronic devices. diff --git a/src/data/compiled_bios/3927.txt b/src/data/compiled_bios/3927.txt new file mode 100644 index 0000000000..1fab92b0c2 --- /dev/null +++ b/src/data/compiled_bios/3927.txt @@ -0,0 +1 @@ + Mark Kushner Group - University of Michigan Computational Plasma Science and Engineering Group Prof. Mark J. Kushner Home Projects Publications Theses Presentations Data/Reactions People Research Support Classes Short Courses Introduction to Plasmas Directions Help Introduction The Computational Plasma Science and Engineering Group ( CPSEG ) in the Department of Electrical and Computer Engineering is housed in the EECS Building on the campus of the University of Michigan and is directed by Prof. Mark J. Kushner . Prof. Kushner is also Director of MIPSE (Michigan Institute for Plasma Science and Engineering) and of the DOE Plasma Science Center . View a short movie - introduction to the research done in our group The CPSEG develops computer simulations of low temperature plasmas and technologically important devices which use low temperature plasmas. These simulations are used as both a method of investigating the basic physical processes which occur in low temperature plasmas, and as Computer Aided Design ( CAD ) tools for the design of plasma equipment. Some of the applications for which the CPSEG has recently developed simulations and CAD tools are: Plasma etching and deposition for fabrication of microelectronics and flat panel displays Plasma etch and deposition surface kinetics and profile models Lasers Pulse power switches Plasma remediation of toxic gases Lighting sources Plasma display panels Nanocrystal generation for fabrication of nanophase materials "Dusty Plasmas" (nucleation, growth and transport of particles in plasmas) Contamination Free Manufacturing The current emphasis of the CPSEG is development of 2- and 3-dimensional computer models for plasma materials processing, and plasma remediation of toxic gases. The CPSEG is well known in the microelectronics fabrication industry for its innovative simulations and visualizations of plasma processing reactors, and for its close working relationships with the industry and with national laboratories. Many of the computer models and CAD tools developed by the CPSEG are available for licensing and transfer to industry. In particular the Hybrid Plasma Equipment Model ( HPEM ) is now in use by semiconductor equipment suppliers and chip manufacturers. Overviews, conference presentations, theses and articles from the CPSEG are available for viewing and downloading. CPSEG Overview Hybrid Plasma Equipment Model (HPEM) Projects Publications Recent Theses Recent Presentations Electron Impact and Heavy Particle Databases For more information on the availability of graduating students who are experts in computer simulation, as well as CAD tools and computer models for low temperature plasmas, contact Prof. Mark J. Kushner. For classes being taught by Prof. Kushner, see Classes . Video Materials Meet the Faculty Video: Mark J. Kushner Video produced by Prof. Alec Thomas for the Michigan Institute for Plasma Science and Engineering: Why You Should Care About Plasmas! Plenary talk at the LNF Annual Symposium, December 1, 2016: The Role of Plasma Modeling in the Innovation Cycle for Nano-fabrication 16 December 2016 ODP Webmaster diff --git a/src/data/compiled_bios/3928.txt b/src/data/compiled_bios/3928.txt new file mode 100644 index 0000000000..7ba8538eb2 --- /dev/null +++ b/src/data/compiled_bios/3928.txt @@ -0,0 +1 @@ + Bioplasmonics Group | Professor Somin Eunice Lee Bioplasmonics Group Bioplasmonics Group Professor Somin Eunice Lee Home Group Research Teaching & Outreach Publications Book Chapters Conference Proceedings News Contact Home Group Research Teaching & Outreach Publications News Contact Professor Somin E. Lee Bioplasmonics Group Professor Somin Eunice Lee PRECISION BIOTECHNOLOGIES via PLASMONICS The Bioplasmonics Group @ Michigan focuses on developing precision technologies to improve human health. We develop new spatially and temporally resolved technologies for imaging and control within single cells beyond the diffraction limit. We envision that high resolution combined with high-throughput omics (genomics, transcriptomics, metabolomics) will revolutionize precision medicine and health. (more) Nanoscience, Biomedical, Nanobio, Bionano, Biosensing, Somin Lee Recent News 05/24/2018 Xintao Zhao passes the qualifying exam. Congrats! 04/03/2018 Hojae Lee receives the NSF GRFP Graduate Fellowship. Congrats! 01/31/2018 Yunbo Liu speaks at SPIE Photonics West BiOS. University of Michigan Department of Electrical & Computer Engineering Department of Biomedical Engineering diff --git a/src/data/compiled_bios/3929.txt b/src/data/compiled_bios/3929.txt new file mode 100644 index 0000000000..733ca7b3fa --- /dev/null +++ b/src/data/compiled_bios/3929.txt @@ -0,0 +1 @@ + Wei Lu: EECS Professor, Nanoelectronics Home About me Current Projects Group Members Teaching Publications Useful Links Wei D. Lu Professor 2242 EECS Building 1301 Beal Avenue Ann Arbor, MI 48109-2122 Phone : (734) 615-2306 Fax : (734)763-9324 wluee@eecs.umich.edu > University of Michigan > Dept. of Electrical Engineering & Computer Science (EECS) > Solid State Electronics Laboratory > Lu group homepage Biography Professor We Lu's research interest includes high-density memory based on two-terminal resistive devices (RRAM), memristors and memristive systems, neuromorphic circuits, aggressively scaled nanowire transistors, and other emerging electrical devices. He received his B.S. (1996) and Ph.D (2003) in physics from Tsinghua University, Beijing, China, and Rice University, Houston, TX respectively. From 2003 to 2005, he was a postdoctoral research fellow at Harvard University, Cambridge, MA. He joined the faculty of the University of Michigan in 2005 and is currently a Professor and Director of the Lurie Nanofabrication Facility . He is an IEEE Fellow, Associate Editor for Nanoscale , a recipient of the NSF CAREER Award in 2009, EECS Outstanding Achievement Award in 2012, 2014-15 Rexford E. Hall Innovation Excellence Award, and the 2016-2017 David E. Liddle Research Excellent Award. To date he has published over 100 journal papers that have received over 20,000 citations with an h-factor of 61 ( Google Scholar ). Prof. Lu is currently advising 11 Ph.D. students and 3 Postdocs. He is also co-founder and Chief Scientist of Crossbar Inc , a Silicon Valley semiconductor company with over $100M VC funding to date to develop next generation non-volatile memories. Wei Lu's Google Scholar profile , My CV Visit Prof. Wei Lu's group. Wei Lu's Researchgate page. More information about me . My ResearcherID profile (ResearcherID: E-8388-2011) My research interests: Nanoelectronics, memory (RRAM) and logic circuits based on two-terminal resistive devices (memristors), neuromorphic circuits and systems, nanowires and novel transistor devices, electrical transport in low-dimensional systems. Group News Selected Publications (for a complete list, please view my Google Scholar profile , my ResearcherID profile or visit Lu group website ) Mohammed A. Zidan, YeonJoo Jeong, Jihang Lee, Bing Chen, Shuo Huang, Mark J. Kushner, and Wei D. Lu, "A general memristor-based partial differential equation solver," Nature Electronics , 1, 411-420 (2018) Mohammed A. Zidan, John Paul Strachan and Wei D. Lu,"The Future of Electronics Based on Memristive Systems," Nature Electronics , 1, 22-29 (2018) C. Du, F. Cai, M. A Zidan, W. Ma, S.H. Lee, and Wei D. Lu,"Reservoir computing using dynamic memristors for temporal information processing," Nature Communications , 8, 2204 (2017) Jihang Lee, Wei D. Lu, "On-Demand Reconfiguration of Nanomaterials: When Electronics Meets Ionics," Advanced Materials, 30, 1702770 (2018) Patrick M. Sheridan, Fuxi Cai, Chao Du, Wen Ma, Zhengya Zhang, and Wei D. Lu, "Sparse coding with memristor networks," Nature Nanotechnology , 12, 784-789 (2017) Xiaojian Zhu, Jihang Lee, Wei D. Lu, "Iodine vacancy redistribution in organic-inorganic halide perovskite films and resistive switching effects," Advanced Materials , 29, 1700527 (2017) S. Choi, J. H. Shin, J. Lee, P. Sheridan, and W. D. Lu, "Experimental Demonstration of Feature Extraction and Dimensionality Reduction Using Memristor Networks," Nano Letters , 17, 3113-3118 (2017). Sungho Kim , Chao Du , Patrick Sheridan , Wen Ma , ShinHyun Choi , and Wei D. Lu, "Experimental Demonstration of a Second-Order Memristor and Its Ability to Biorealistically Implement Synaptic Plasticity," Nano Letters , 15, 2203-2211 (2015). PDF Yuchao Yang, Peng Gao, Linze Li, Xiaoqing Pan, Stefan Tappertzhofen, ShinHyun Choi, Rainer Waser, Ilia Valov, Wei D. Lu, "Electrochemical dynamics of nanoscale metallic inclusions in dielectrics" Nature Communications , 5 , 4232 (2014). Yuchao Yang, Jihang Lee, Seunghyun Lee, Che-Hung Liu, Zhaohui Zhong, and Wei Lu, "Oxide Resistive Memory with Functionalized Graphene as Built-in Selector Element" Advanced Materials , 26 , 3693-3699 (2014). Sungho Kim, Shinhyun Choi, Wei Lu, "Comprehensive Physical Model of Dynamic Resistive Switching in an Oxide Memristor" ACS Nano , 8 , 2369-2376 (2014). Y. Yang, S.H. Choi, W. Lu "Oxide Heterostructure Resistive Memory" Nano Lett. 13 , 2908-2915 (2013). Wei Lu "Memristors: Going active" Nature materials , 12 , 93-94 (2013). Yuchao Yang, Peng Gao, Siddharth Gaba, Ting Chang, Xiaoqing Pan, and Wei Lu "Observation of conducting filament growth in nanoscale resistive memories" Nature Communications , 3 , 732(2012). doi:10.1038/ncomms1737 K.-H. Kim, S. Gaba, D. Wheeler, J. M. Cruz-Albrecht, T. Hussain, N. Srinivasa, and W. Lu, "A Functional Hybrid Memristor Crossbar-Array/CMOS System for Data Storage and Neuromorphic Applications" Nano Lett. , 12 , 389-395 (2012). PDF Ting Chang, Sung-Hyun Jo, and Wei Lu, "Short-Term Memory to Long-Term Memory Transition in a Nanoscale Memristor" ACS Nano , 9 , 7669-7676 (2011). PDF Sung Hyun Jo, Ting Chang, Idongesit Ebong, Bhavi Bhavitavya, Pinaki Mazumder and Wei Lu, "Nanoscale Memristor Device as Synapse in Neuromorphic Systems," Nano Lett. , 10 , 1297-1301 (2010). PDF Featured in Nature, EE Times, New Scientist, PhysicsOrg, Chemistry World and other news outlets. Sung Hyun Jo, Kuk-Hwan Kim and Wei Lu, "High-Density Crossbar Arrays Based on a Si Memristive System", Nano Lett. , 9 , 870-874 (2009). PDF Highlighted in Nature Materials. Sung Hyun Jo and Wei Lu, "CMOS Compatible Nanoscale Nonvolatile Resistance Switching Memory", Nano Lett. , 8 , 392-397 (2008). PDF Eric N. Dattoli, Qing Wan, Wei Guo, Yanbin Chen, Xiaoqing Pan, and Wei Lu, "Fully Transparent Thin-Film Transistor Devices Based on SnO2 Nanowires" Nano Lett. , 7 , 2463-2469 (2007). PDF Wei Lu, and C. M. Lieber, "Nanoelectronics from the Bottom-up", Nature Mater. , 6 , 841-850 (2007). PDF Jie Xiang, Wei Lu, Yongjie Hu, Yue Wu, Hao Yan and Charles M. Lieber, "High performance field effect transistors based on Ge/Si nanowire heterostructures", Nature , 441 , 489-493 (2006). PDF Wei Lu, Jie Xiang, Brian P. Timko, Yue Wu and Charles M. Lieber, "One-dimensional hole gas in germanium/silicon nanowire heterostructures", Proc. Natl. Acad. Sci. USA , 102 , 10046-10051 (2005). PDF Yue Wu, Jie Xiang, Chen Yang, Wei Lu and Charles M. Lieber, "Single-crystal metallic nanowires and metal/semiconductor nanowire heterostructures", Nature. 430 , 61-65 (2004). PDF Wei Lu, Zhongqing Ji, Loren Pfeiffer, K. W. West and A. J. Rimberg, "Real-time Detection of Electron Tunneling in a Quantum Dot", Nature. 423 , 422-425 (2003). PDF W. Lu, A. J. Rimberg, K. D. Maranowski and A. C. Gossard, "Single-electron transistor strongly coupled to an electrostatically defined quantum dot", Appl. Phys. Lett. 77 , 2746-2478 (2000). PDF diff --git a/src/data/compiled_bios/393.txt b/src/data/compiled_bios/393.txt new file mode 100644 index 0000000000..a3454ca68f --- /dev/null +++ b/src/data/compiled_bios/393.txt @@ -0,0 +1 @@ +Name: Ruozzi, Nicholas:: Position: Assistant Professor:: Degrees: Ph.D., Computer Science,Yale University, 2011; M.S., Computer Science, Yale University, 2010; B.S., Computer Science, Cornell University, 2006; Research Interests: Graphical Models; Machine Learning; Approximate Inference and Learning; RepresentativePublications: ; N. Ruozzi and S. Tatikonda. Message-passing algorithms for quadratic minimization. Journal of Machine Learning Research, 14:2287-2314, 2013.; ; ; N. Ruozzi and S. Tatikonda. Message-passing algorithms: Reparameterizations and splittings. IEEE Transactions on Information Theory, 59(9):5860-5881, Sept. 2013.; ; ; N. Ruozzi and T. Jebara. Making pairwise binary graphical models attractive. In Advances in Neural Information Processing Systems (NIPS), Montreal, Canada, 2014.; ; ; N. Ruozzi. Beyond log-supermodularity: lower bounds and the Bethe partition function. In Uncertainty in Artificial Intelligence (UAI), Bellevue, WA, USA, July 2013.; ; ; N. Ruozzi. The Bethe partition function of log-supermodular graphical models. In Advances in Neural Information Processing Systems (NIPS), Lake Tahoe, NV, Dec. 2012.; ; diff --git a/src/data/compiled_bios/3930.txt b/src/data/compiled_bios/3930.txt new file mode 100644 index 0000000000..c9ef77a286 --- /dev/null +++ b/src/data/compiled_bios/3930.txt @@ -0,0 +1 @@ + UM LIST - University of Michigan Laboratory of Intelligent System Technology Home About LIST Team Prof. Lynch Research Projects Resiliency of Rail Bridges Publications Contact SMART, CYBER-ENABLED, DATA-DRIVEN Making Urban Systems Resilient through Intelligence The Laboratory for Intelligent Systems Technology (LIST) is converting traditional civil infrastructure into intelligent and reactive systems through the integration of sensing, computing and actuation technologies. Advancing Cyber-Physical Systems (CPS) in the Urban Context The convergence of embedded sensing, actuation, computing and wireless communications has resulted in the emergence of cyber-physical systems (CPS) that are revolutionizing our ability to monitor and control physcial systems. In the context of the urban domain, CPS has the potential to transform the performance and resiliency of physical infrastructure, social networks and natural systems of which are cities are comprised. LIST is at the forefront developing novel CPS technologies and system architectures for this application space. The research portfolio spans from the development of novel sensing technologies for sensing built and natural environments to data analytic platforms that transfor data and information into actionable information for decision makers. Novel Sensing Technologies New sensing technologies are vital to the acquisition of quantitative data related to infrastructure performance, environmental factors, and how people interact with infrastructure. Our research spans from self-sensing multifunctional materials to the creation of novel wireless sensors with embedded computational intelligence. Cloud-based Data Management The proliferation of sensors in the built environment has called attention to the need for scalable data management solutions that can store and curate massive amounts of data. Our team is developing scalable and cloud-based data management solutions that allow the value of data to be unlocked for critical decision making. Analytics and Controls Data is only valuable if it is used to make decisions. Our team is at the forefront of developing analytical tools that extract actionable information from data. Our work extends the reach of real-time data-driven analytics for the control and reconfiguration of urban systems leading to the enhancement of urban resiliency. Field Validation Our research is tested in operational systems including in bridges, buildings, roads, wind turbines and naval ships. We also deploy our sensors in cities for urban sensing applications. Experimental validation in these real-world systems provides opportunities to accelerate technology transfer and to gain direct feedback from stakeholders. Looking to Get Involved? LIST has a long history of engaging students, staff and faculty in research and welcomes inquiries aimed at joining or collaborating with our team. If you are an undergraduate student looking for a research experience, we routinely support the Summer Research Opportunity Program (SROP) administered by Rackham Graduate Schoool and the Summer Undergraduate Research in Engineering (SURE) administered by the College of Engineering at the University of Engineering. The SROP program is for domestic undergraduate students from underrepresented groups in engineering and is designed to prepare undergraduate students for advanced studies in a Ph.D. program at the University of Michigan. SURE is designed to offer summer research experiences to University of Michigan undergraduate students. Current University of Michigan graduate students interested in independent study projects or graduate research assistantships should contact Prof. Jerome Lynch about joining the LIST team. If you are a prospective graduate student interested in joining the Laboratory of Intelligent Systems Technology, you are encourage to apply. We draw our team members largely from applicants to the M.S. and Ph.D. programs in Intelligent Systems Engineering in the Department of Civil and Environmental Engineering. Learn more Contact Us (734) 615-5290 jerlynch@umich.edu 2060 G. G. Brown Building, 2350 Hayward Street, Ann Arbor, MI 48109-2125, USA Follow Us Disclaimer Any opinions, findings and conclusions or recommendations expressed on this website are those of the author(s) and do not necessarily reflect the views of the University of Michigan or any of the funding agencies supporting the work presented on the site. Questions regarding the website can be directed to: Prof. Jerome P. Lynch ( jerlynch@umich.edu ) Home | About | Research Projects | Publications | Contact Copyright 2017, Jerome P. Lynch, University of Michigan, Ann Arbor, MI. diff --git a/src/data/compiled_bios/3931.txt b/src/data/compiled_bios/3931.txt new file mode 100644 index 0000000000..785f404ad2 --- /dev/null +++ b/src/data/compiled_bios/3931.txt @@ -0,0 +1 @@ + The webpage of Raj Rao Nadakuditi Raj Rao Nadakuditi Assistant Professor EECS, University of Michigan Home CV/Statement Research Students Teaching Publications Conferences RMT @ FoCM'14 Contact: 1301 Beal Avenue, Room 4435 University of Michigan Ann Arbor, MI 48109-2122 rajnrao_at_eecs_dot_umich_dot_edu Introduction Hello and thank you for your interest in my research. Since Fall 2009, I am an assistant professor in the Department of Electrical Engineering and Computer Science at the University of Michigan. Prior to that I was at MIT where I received my Masters and PhD in Electrical Engineering and Computer Science as part of the MIT/WHOI Joint Program in Ocean Science and Engineering. I work at the interface of statistical signal processing and random matrix theory with applications such as sonar, radar, wireless communications and machine learning in mind. I particularly enjoy using random matrix theory to address problems that arise in statistical signal processing. An important component of my work is applying it in real-world settings to tease out low-level signals from sensor, oceanographic, financial and econometric time/frequency measurements/time series. In addition to the satisfaction derived from transforming the theory into practice, real-world settings give us insight into how the underlying techniques can be refined and/or made more robust. We gratefully acknowledge support of the Office of Naval Research Young Investigator Program , the National Science Foundation, the Air Force Office of Scientific Research Young Investigator Program , the DARPA Young Faculty Award and the Army Research Office's MURI initiative in sustaining our research. site info 2007-2008 N. Raj Rao. Design by Andreas Viklund | xNavigation software . diff --git a/src/data/compiled_bios/3932.txt b/src/data/compiled_bios/3932.txt new file mode 100644 index 0000000000..34cc12995b --- /dev/null +++ b/src/data/compiled_bios/3932.txt @@ -0,0 +1 @@ + Satish Narayanasamy Satish Narayanasamy Contact CV I am an Associate Professor in the EECS department at the University of Michigan . For prospective students: If you are interested in my research, please send me an email with your CV. Teaching EECS 570 - Parallel Computer Architecture (Fall 2009, Winter 2014) EECS 370 - Introduction to Computer Organization (Winter 2008, Fall 2011, Fall 2012, Fall 2013, Winter 2015, Fall 2016) EECS 598 - Ubiquitous Parallelism (Fall 2010, Winter 2012) EECS 483- Compiler Construction (Winter 2013, Winter 2011, Winter 2010, Winter 2009) Software and Downloads Maple tool for testing concurrent programs. For details refer to our OOPSLA 2012 paper . The release also includes concurrency API for Intel's Pin dynamic instrumentation tool, a Pin based implementation of CHESS , and a happens-before data-race detector. A collection of concurrency bugs that we used in OOPSLA'12 paper . Click here to download SC-preserving version of the LLVM compiler. For details refer to our PLDI 2011 paper . PinSEL -- a record-and-replay tool. It implements the BugNet checkpointing/logging scheme using the Pin dynamic instrumentation framework. PinSEL can record and replay any multi-threaded program across different system environments. Currently, it is used as a front-end for application level architectural simulators to avoid emulating the system effects. For more details refer to our SIGMETRICS'06 paper. Research Interests : I work at the intersection of computer architecture, software systems and program analysis. My current interests include customized computing solutions for genomics, concurrency, security, machine learning assisted program analysis, and tools for teaching at scale. [Full publication list] Selected Publications : GenAx: A Genome Sequencing Accelerator Persistency for Synchronization-Free Regions Optimistic Hybrid Analysis InvisiMem: Smart Memory Defenses for Memory Bus Side Channel Language-Level Persistency AsyncClock: Scalable Inference of Asynchronous Event Causality Compute Caches SC for GPUs The Silently Shifting Semicolon Accelerating Asynchronous Programs Using Web Corpus for Program Analysis Race Detection for Event-Driven Mobile Systems Catnap: Energy Proportional Multiple Network-on-Chip Parallelizing Data Race Detection Maple: A Coverage-Driven Testing Tool for Multithreaded Programs End-to-end Sequential Consistency Chimera: Hybrid Program Analysis for Determinism Surviving and detecting data races using complementary schedules A Case for SC-Preserving Compiler Efficient Processor Support for a Memory Model with Exceptions DoublePlay: Parallelizing Sequential Logging and Replay Offline Symbolic Analysis to Infer Total Store Order MLP-aware Heterogeneous Main Memory Tolerating Concurrency Bugs Using Transactions as Lifeguards DRFx: A Simple and Efficient Memory Model for Concurrent Languages Efficient Online Multi-Processor Replay on Commodity System Offline Symbolic Analysis for Multi-Processor Replay. Interleaving Constrained Shared-Memory Multi-Processor. Effective Sampling for Lightweight Data Race Detection. Benign Race Classification Strata for recording shared memory dependencies. Shadow Pages for TM Version Management PinSEL - a tool for architectural simulation based on BugNet. BugNet - a low cost system-independent program execution recorder. Patching processor design errors [ISCA'18] [PLDI'18] [ASPLOS'18] [ISCA'17] [ISCA'17] [ASPLOS'17] [HPCA'17] [MICRO'15] [SNAPL'15] [ISCA'15] [OOPSLA'14] [PLDI'14] [ISCA'13] [ASPLOS'13] [OOPSLA'12] [ISCA'12, IEEE Top Picks Award] [PLDI'12] [SOSP'11] [PLDI'11] [ASPLOS'11] [ASPLOS'11, Best Paper Award] [HPCA'11] [DATE'11, Best Paper Candidate] [MICRO'10] [PLDI'10] [ASPLOS'10] [MICRO'09] [ISCA'09] [PLDI'09] [PLDI'07] [ASPLOS'06] [ASPLOS'06] [SIGMETRICS'06] [ISCA'05, IEEE Micro Top Picks Award] [ICCD'06, IEEE Micro Top Picks Award] Graduate Students and Their Projects Shaizeen Aga Subarno Banerjee Gaurav Chadha Hossein Golestani Chun-Hung Hsiao Dongyoon Lee Abhayendra Singh Hanyun Tao Jie Yu Secure Cloud. Efficient and Programmable Data Parallel Systems. Optimistic Hybrid Program Analysis for Information Flow. Accelerators for Event-Driven Web Applications. Performance models for interactive applications. BigCode. Tools for Event-Driven Mobile Systems Multiprocessor Replay Memory Consistency Models for Concurrent Languages Architectures for interactive applications. Testing and Tolerating Concurrency Bugs Graduated. Oracle Labs. Graduated. Mesosphere start-up. Graduated. Virginia Tech. ProQuest Dissertation Award . Graduated. Google. Graduated. Twitter. Service Program Chair: WODA 2013 Program Committee: HPCA'15, PLDI'15 (ERC), ASPLOS'14, OSDI'14 (ERC), IEEE Top Picks'14, MICRO '13, PLDI '13, ISCA '12, HPCA '12, '13 and '14, CGO '10, '13 & '14, PACT '11 & '12, PLDI '12 ERC, ASPLOS '11 & '13 ERC, MICRO '12 ERC, HiPEAC '12 & 13, ISPASS '11, ICCD '09, '10, '11 & '12, WoDET'13, MSPC '11 & '12, NPC'11, VLSI '10 & '11, CACS'10, CATARS '09 Publications Chair: PPoPP 2010 nsatish@umich.edu diff --git a/src/data/compiled_bios/3933.txt b/src/data/compiled_bios/3933.txt new file mode 100644 index 0000000000..4092c68152 --- /dev/null +++ b/src/data/compiled_bios/3933.txt @@ -0,0 +1 @@ + Adib Nashashibi | Radiation Laboratory, Electrical and Computer Engineering (ECE) @ Michigan Home About Research Applied Electromagnetics Advanced Electromagnetic Materials Antennas Computational Electromagnetics Plasma Science & Engineering RF, Microwave, and Millimeter-Wave Circuits Remote Sensing Wave Propagation People Faculty Staff Students Research Fellows Technical Reports + Dissertations Technical Reports Dissertations Events News Awards Contact Adib Nashashibi Home Honors and Awards Publications Research Interests Research Projects Adib Nashashibi Associate Research Scientist Contact Information: 3227 EECS The University of Michigan Ann Arbor, MI 48109-2122 Tel: (734) 764-1091 Fax: (734) 647-2106 Email: nuha@umich.edu Education Ph.D. in Electrical Engineering, 1995, University of Michigan M.S. in Electrical Engineering, 1988, Kuwait University, Kuwait B.S. in Electrical Engineering, 1985, Kuwait University, Kuwait EECS College of Engineering University of Michigan The Regents of the University of Michigan diff --git a/src/data/compiled_bios/3934.txt b/src/data/compiled_bios/3934.txt new file mode 100644 index 0000000000..8193d781ad --- /dev/null +++ b/src/data/compiled_bios/3934.txt @@ -0,0 +1 @@ + David Neuhoff David Neuhoff David L. Neuhoff Joseph E. and Anne P. Rowe Professor of Electrical Engineering Senior Associate Chair, Electrical and Computer Engineering Home Biosketch CV Publications Research Research group Courses Shannon Statue Contact Info 3401 and 4244 EECS PH: (734) 764-6586 neuhoff@umich.edu Assistant: Linda Scovel 3402 EECS (734) 763-3260 lscovel@umich.edu Research and Teaching Interests Communications Information theory Signal and image processing Lossy and lossless source coding Source-channel coding Quantization Image compression Image similarity metrics Sensor networks Digital halftoning 2013 University of Michigan diff --git a/src/data/compiled_bios/3935.txt b/src/data/compiled_bios/3935.txt new file mode 100644 index 0000000000..525d0ef0e5 --- /dev/null +++ b/src/data/compiled_bios/3935.txt @@ -0,0 +1 @@ + Necmiye Ozay Necmiye Ozay Home Publications Research Group Teaching Bio Misc Necmiye * Ozay Necmiye Ozay Assistant Professor Electrical Engineering and Computer Science University of Michigan 1301 Beal Avenue 4229 EECS Building Ann Arbor, MI 48109-2122 e-mail: myfirstname (at) umich (dot) edu News 10/2018, congrats to Glen Chou (and the team) for receiving the Social Impact Award at the Engineering Graduate Symposium for our work on corner case generation and falsification via synthesis with applications in autonomous driving! 09/2018, I serve on the program committees of ICCPS 2019 and NFM 2019 . 07/2018, I am co-chairing HSCC 2019 with Pavithra Prabhakar . Consider submitting your best papers! 07/2018, I gave an invited talk at the SYNT Workshop . 07/2018, our group will present three papers at CDC 2018, one paper at EMSOFT 2018. 06/2018, honored to receive a Henry Russel award . 05/2018, I gave a lecture at the 1st International SCHOOL on Discrete Event Systems . 04/2018, the Controls Group at the University of Michigan has a new website . 02/2018, I received an ONR Young Investigator Award . 01/2018, I received the 1938E Award from the College of Engineering. 11/2017, I am giving a talk at the CDC preconference workshop: 30 years of the Ramadge-Wonham Theory of Supervisory Control: A Retrospective and Future Perspectives . 11/2017, I am giving a talk as part of Ada Lovelace Opera: A Celebration of Women in Computing . 11/2017, I gave a talk at CSL at the University of Illinois. 10/2017, Yasser Shoukry and I are organizing a mini workshop at the NSF CPS PI meeting on Formal Methods in CPS: Impact and Future Directions . 10/2017, Supratim Ghosh joined the group as a postdoc. 09/2017, Petter successfully defended his PhD thesis. Congrats Dr. Petter Nilsson! 07/2017, I serve as the publicity chair for ICCPS 2018 . Consider submitting your best papers! 07/2017, four papers accepted to CDC 2017, Melbourne. 07/2017, I serve on the technical program committees for HSCC 2018 and ADHS 2018 . 07/2017, our paper with Jun Liu received a best paper award from Nonlinear Analysis: Hybrid Systems for the years 2014-2016 ( link ). 07/2017, I gave a talk at WUDS 2017 . 05/2017, I am attending the Dagstuhl seminar on Formal Synthesis of Cyber-Physical Systems , Germany. 05/2017, I am giving a talk at NASA JSC . 04/2017, I gave a talk at DREAMS at UC Berkeley. 03/2017, we are hosting the 6th Midwest Workshop on Control and Game Theory at the University of Michigan, Ann Arbor. 02/2017, two papers accepted to IFAC World Congress 2017, Toulouse, France. 02/2017, I serve on the technical program committee of CDC 2017 . 01/2017, two papers accepted to ACC 2017, Seattle. 01/2017, I serve as an Associate Editor for Journal of Discrete Event Dynamic Systems. We expect to see your best papers on formal methods in JDEDS! 12/2016, our group will be at the CPSWeek in Pittsburgh, presenting one paper at HSCC 2017 and one paper at ICCPS 2017. 12/2016, I gave a talk at the CDC preconference workshop on Rich Data Backed Control and Optimization for Smart Cities . 09/2016, I gave a talk at the Dagstuhl seminar on Robustness in Cyber-Physical Systems , Germany. 07/2016, I serve as the publicity chair for HSCC 2017 . Consider submitting your best papers! 08/2016, I received a NASA Early Career Faculty Award. 08/2016, our paper on a new bisimulation-like abstraction algorithm is accepted to Allerton 2016. 07/2016, our paper on compositional synthesis of safety controllers is accepted to CDC 2016, Las Vegas. 07/2016, Sze Zheng Yong joined the group as a postdoc. 07/2016, two papers accepted to MSC 2016, Buenos Aires. 07/2016, I received a DARPA Directors Fellowship. 06/2016, I gave a talk at RSS workshop on Social Trust in Autonomous Robots . 02/2016, I gave a talk at ExCAPE's webinar . 01/2016, I received an NSF CAREER Award. 01/2016, four papers accepted to ACC 2016, Boston. 01/2016, I gave a talk at the Institute for Mathematics and its Applications (IMA) Workshop on Optimization and Parsimonious Modeling . 12/2015, our paper on correct-by-construction control synthesis for very large scale systems is accepted to HSCC 2016, Vienna. 12/2015, I serve on the technical program committee of ACC 2017 . 12/2015, I serve as the invited sessions and tutorials chair for MSC 2016 . If you consider organizing an invited session or a tutorial, let me know! 12/2015, I gave a talk at the CDC preconference workshop on Towards Scalable Formal Synthesis of Complex Systems . 09/2015, I gave a talk at NASA JPL . 09/2015, MI4Hybrid, a toolbox for model (in)validation for hybrid systems, is now available on GitHub . 07/2015, I am a guest editor for Journal of Discrete Event Dynamic Systems special issue on Formal Methods in Control ( call for papers ). Consider submitting your best papers! (the deadline is February 15, 2016) 07/2015, one paper accepted to CDC 2015, Osaka. 07/2015, two papers accepted to ADHS 2015, Atlanta. 07/2015, one paper accepted to DSCC 2015, Columbus. 07/2015, I serve on the technical program committee for HSCC 2016 . 07/2015, I serve on the technical program committee for ICCPS 2016 . 06/2015, I gave a talk at the iCyPhy data-driven design workshop, Berkeley. 06/2015, new Ford-UM Alliance project on fault tolerant control. 04/2015, the new center for Michigan Robotics! 04/2015, I serve on the technical program committee for ACES-MB 15 . 02/2015, I gave a talk at the Dagstuhl seminar on Non-Zero-Sum-Games and Control , Germany. 01/2015, Farshad Harirchi joined the group as a postdoc. 12/2014, I gave a talk at the Toyota Summit on Industrial Cyberphysical Systems Verification and Design, Los Angeles. 12/2014, three papers appeared at CDC 2014, Los Angeles. 09/2014, I serve on the technical program committee for ADHS 2015 . 09/2014, new NSF CPS Breakthrough project in collaboration with Stephane Lafortune. 08/2014, I received a DARPA 2014 Young Faculty Award. 07/2014, I serve on the technical program committee for HSCC 2015 . Page generated 2018-10-30 22:32:46 EDT, by jemdoc . diff --git a/src/data/compiled_bios/3936.txt b/src/data/compiled_bios/3936.txt new file mode 100644 index 0000000000..b76ffa0348 --- /dev/null +++ b/src/data/compiled_bios/3936.txt @@ -0,0 +1 @@ + PetersonLab PetersonLab Search this site Home Research Projects Publications Group Members Teaching News Home Research Projects Publications Group Members Teaching Asst. Prof. Becky (R. L.) Peterson EECS Department University of Michigan Ann Arbor, MI 48109-2122 Email Professor Peterson News 2/1/19 Congratulations to graduate student Ming-Hsun Lee on publication of his paper: " Interfacial reactions of titanium/gold ohmic contacts with Sn-doped -Ga 2 O 3 ," in APL Materials ! 1/23/19 Congratulations to PhD candidate Zumrad Kabilova on publication of her paper: " Observation of impurity band conduction and variable range hopping in heavily doped (010) -Ga 2 O 3 ," in Semiconductor Science and Technology ! 12/11/18 C ongratulations to PhD candidate Chris Allemang for winning the 1st prize in the 2018 LNF Users Symposium for his poster titled " Electrical Performance of Annealed Zinc-tin-oxide Thin-film Transistors Deposited by Atomic Layer Deposition ". Well done, Chris! 11/30/18 Congratulations to PhD student Youngbae Son on publication of his paper: " Exploiting In Situ Redox and Diffusion of Molybdenum to Enable ThinFilm Circuitry for LowCost Wireless Energy Harvesting " in Advanced Functional Materials and accompanying frontispiece image . 8/28/18 Welcome to Jaesung Jo, a new PhD student in ECE. Mr. Jo comes to Michigan from University of Seoul, Korea. Welcome, Jaesung! 8/15/18 Hannah Masten, a PhD student in PetersonLab, presents on "Ga 2 O 3 MOSCAPs with low D it using yttrium-scandium oxide high- k dielectric," at the 3rd US Workshop on Gallium Oxide , held in Columbus, Ohio. Well done, Hannah! 8/1/18 Prof. Peterson, along with colleagues Profs. Elaheh Ahmadi, Emmanouil (Manos) Kioupakis, Cagliyan Kurdak, Jamie Phillips, and Steve Yalisove, receive a $250,000 Research Accelerator award from the University of Michigan's College of Engineering to develop an innovative, environmentally friendly manufacturing method for the deposition of crystalline gallium oxide films for use in high-power devices. Many thanks to the College of Engineering for this support! 6/27/18 PhD student Hannah Masten presents on "Ternary Alloy Rare Earth Scandate as Dielectric for - Ga 2 O 3 MOS Structures" at the 60th Electronic Materials Conference held at University of California - Santa Barbara. Congratulations, Hannah! 6/8/18 PetersonLab expands by moving all of our test and measurement equipment into a new lab. Many thanks to ECE and the College of Engineering for the provision of this much-needed space! 5/31/18 Prof. Peterson gives an invited talk on " 'Electronics on Anything' Using Wide Bandgap Amorphous Oxide Semiconductors " at Compound Semiconductor Week 2018, held at MIT in Cambridge, Massachussets. 5/9/18 Belated congratulations to PhD student Zumrad Kabilova for winning a poster award at the U-M Engineering Graduate Symposium in November 2017. Her poster won 5th Place in the Optics, Photonics, and Solid-State Devices Division. Well done, Zumrad! 5/7/18 UM undergraduate Shantam Ravan joins PetersonLab for his Summer Undergraduate Research in Engineering project. Welcome, Shantam! 5/1/18 A warm welcome to Dr. Alana Hyland, who is joins the group as a Post-Doctoral Research Fellow! Dr. Hyland received her PhD from the University of Canterbury, Christchurch, New Zealand. 3/13/18 Prof. Peterson gives an invited talk at the German Physics Society Annual Meeting (Deutschen Physikalischen Gesselschaft e.V. 2018) focused session on Oxide Semiconductors for Novel Devices in Berlin, Germany. Many thanks to Dr. Holger von Wenckstern, Dr. Oliver Bierwagen, Dr. Karsten Fleischer, and Prof. Dr. Holger Eisele for the kind invitation! 1/25/18 Prof. Peterson gives a seminar to University of Notre Dame's EE Department. Thank you to Prof. Patrick Fay for hosting! 11/3/17 Prof. Peterson gives a seminar at University of Minnesota's ECE Department. Thank you to Prof. Sarah Swisher for hosting! 11/1/17 Congratulations to PhD candidate Youngbae Son on publication of his paper: " The effects of localized tail states on charge transport mechanisms in amorphous zinc tin oxide Schottky diodes " in Semiconductor Science and Technology ! 9/15/17 PhD student Zumrad Kabilova gives a talk on " Charge transport in highly doped (010) - Ga 2 O 3 single crystals made by edge-defined film-fed growth " at the 2nd International Workshop on Gallium Oxide and Related Materials in Parma, Italy. Great job, Zumrad! 9/13/17 PhD student Hannah Masten gives a talk on " Photo-assisted capacitance-voltage characterization of interface states in SiO 2 /-Ga 2 O 3 (010) MOS capacitors " at the 2nd International Workshop on Gallium Oxide and Related Materials in Parma, Italy. Well done, Hannah! 9/12/17 Prof. Peterson gives a seminar at the Center for Nanoscience and Technology at the Istituto Italiano di Tecnologia (CNST IIT@Polimi). Thank you to Dr. Mario Caironi for hosting! 9/11/17 Congratulations to alum Dr. Wenbing Hu for publication of another paper based on his PhD work in PetersonLab: " The roles of rare-earth dopants in solution-processed ZnO-based transparent conductive oxides " in the Journal of Applied Physics ! More News ... Home Welcome to the PetersonLab PI: Assistant Professor Becky (R. L.) Peterson Department of Electrical Engineering and Computer Science 1301 Beal Avenue, Room 2302 The University of Michigan Ann Arbor, MI 48109-2122 USA Phone: (734) 615-3105 email: blpeters AT umich DOT edu PetersonLab group at Electronic Materials Conference, June 2017 Research Interests "Electronics on Anything": 3-D additive hetero-integration of thin film electronics with CMOS, MEMS, and interposers Solution-processed inorganic electronic materials and devices, including semiconductor physics and device fabrication Power semiconductor devices using oxide semiconductors Transparent or "invisible" circuits; flexible electronics and sensors, including mechanical and electrical properties of thin films Self-assembled nanofabrication and additive manufacturing of electronics Education and Training B.S.E.E., University of Rochester, NY M.S.E.E., University of Minnesota, Twin Cities Ph.D. Electrical Engineering, Princeton University, Princeton, NJ Post-doc, Cavendish Laboratory, Department of Physics, University of Cambridge, UK Positions Available at PetersonLab The PetersonLab is part of the Solid State Electronics Laboratory of the Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor. PetersonLab's work focuses on new electronics materials and fabrication processes for applications in sensors, electronics, optoelectronics and energy technologies. Prof. Peterson welcomes applications from focused and creative incoming PhD students and potential post-doctoral fellows. Prospective PhD students should apply to the Electrical and Computer Engineering (ECE) PhD program via http://www.rackham.umich.edu/admissions/applying and contact Prof. Peterson via email (blpeters AT umich DOT edu). Potential post-doc fellows with a documented history of excellence in research and publication should contact Prof. Peterson to inquire about openings. There are also opportunities for African scholars to visit University of Michigan for four to six months, through the University of Michigan's African Presidential Scholars (UMAPS) program. More information is available here: https://ii.umich.edu/asc/umaps.html . Interested faculty from Africa should please contact Prof. Peterson directly to discuss potential collaborations through this program. 2013 Regents of the University of Michigan | University of Michigan | Michigan Engineering Sign in | Report Abuse | Print Page | Powered By Google Sites diff --git a/src/data/compiled_bios/3937.txt b/src/data/compiled_bios/3937.txt new file mode 100644 index 0000000000..f0e927d683 --- /dev/null +++ b/src/data/compiled_bios/3937.txt @@ -0,0 +1 @@ + Leland Pierce | Radiation Laboratory, Electrical and Computer Engineering (ECE) @ Michigan Home About Research Applied Electromagnetics Advanced Electromagnetic Materials Antennas Computational Electromagnetics Plasma Science & Engineering RF, Microwave, and Millimeter-Wave Circuits Remote Sensing Wave Propagation People Faculty Staff Students Research Fellows Technical Reports + Dissertations Technical Reports Dissertations Events News Awards Contact Leland Pierce Home Online Publications Research Interests Leland Pierce Research Scientist 3214 EECS The University of Michigan Ann Arbor, MI 48109-2122 Tel: (734) 763-3157 Fax: (734) 647-2106 Email: lep@eecs.umich.edu EECS College of Engineering University of Michigan The Regents of the University of Michigan diff --git a/src/data/compiled_bios/3938.txt b/src/data/compiled_bios/3938.txt new file mode 100644 index 0000000000..0474701bd3 --- /dev/null +++ b/src/data/compiled_bios/3938.txt @@ -0,0 +1 @@ + Kevin Pipe | Mechanical Engineering Skip to main content Mechanical Engineering Search Search Toggle navigation Search Search Main navigation About Welcome from the Chair History Maps & Directions Honors & Awards Trends & Statistics Contact Giving Positions at ME Faculty Positions Academics Undergraduate Admissions Undergrad Handbook RISE (Research Projects) MEUS (Research Symposium) Graduate Admissions Graduate Handbook Independent Research (ME 590) ME Courses Advising Appointments Contact Academic Services Research Research Areas Biomechanics & Biosystems Control Design Dynamics & Vibration Energy Fluids Manufacturing Mechanics & Materials Mechatronics & Robotics Micro/Nano Engineering Mobility, Automotive, & Transportation Multi-Scale Computation Thermal Sciences Labs & Facilities People Administration Faculty Staff Research Fellows Graduate Students PhD Students Student Groups Alumni External Advisory Board News & Events News Events Seminar Series Publications Newsletter Quicklinks ME Annual Report ME Undergrad Brochure ME Grad Brochure ME Seminar Series Giving Maps & Directions Contact Student Intranet Faculty/Staff Intranet Main navigation About Welcome from the Chair History Maps & Directions Honors & Awards Trends & Statistics Contact Giving Positions at ME Faculty Positions Academics Undergraduate Admissions Undergrad Handbook RISE (Research Projects) MEUS (Research Symposium) Graduate Admissions Graduate Handbook Independent Research (ME 590) ME Courses Advising Appointments Contact Academic Services Research Research Areas Biomechanics & Biosystems Control Design Dynamics & Vibration Energy Fluids Manufacturing Mechanics & Materials Mechatronics & Robotics Micro/Nano Engineering Mobility, Automotive, & Transportation Multi-Scale Computation Thermal Sciences Labs & Facilities People Administration Faculty Staff Research Fellows Graduate Students PhD Students Student Groups Alumni External Advisory Board News & Events News Events Seminar Series Publications Newsletter Quicklinks ME Annual Report ME Undergrad Brochure ME Grad Brochure ME Seminar Series Giving Maps & Directions Contact Student Intranet Faculty/Staff Intranet Home People Faculty Kevin Pipe Kevin Pipe Professor, Mechanical Engineering Professor, Applied Physics Program Professor, Electrical Engineering and Computer Science Department Director of Graduate Degree Programs, College of Engineering Address 1644 GGB (George G. Brown Laboratory) 2350 Hayward Ann Arbor, MI 48109-2125 Email pipe@umich.edu Phone (734) 763-6624 Degrees Ph.D., Electrical Engineering, Massachusetts Institute of Technology, 2004 M.Eng., Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 1999 S.B., Electrical Engineering and Computer Science, Massachusetts Institute of Technology, 1999 Research Interests Microscale heat transfer, especially related to electronic and optoelectronic devices; thermoelectric energy conversion; scanning probe techniques; photovoltaic energy conversion; organic and hybrid organic/inorganic devices. Honors and Awards Young Faculty Award, Defense Advanced Research Projects Agency, 2009 ME Achievement Award, University of Michigan Department of Mechanical Engineering, 2008 Faculty Type Tenured and Tenure-Track Related News Improving Heat Transfer and Energy Conversion in Polymers 09/24/2017 In collaboration with MSE Professor Jinsang Kims group, ME Professor Kevin Pipes lab is using molecular design principles to improve thermal conductivity in polymers. Pipe's research featured on phys.org and Engadget 08/03/2017 Professor Pipe and a team of U-M researchers have found a way to change plastic's molecular structure, making it as thermallyconductiveas glass U-M engineering researchers develop heat-conducting plastic 12/08/2014 The spaghetti-like internal structure of most plastics makes it hard for them to cast away heat, but a U-M research team, including ME associate professor Kevin Pipe, has made a plastic blend that does so 10 times better than its conventional counterparts Kevin Pipes Research Reaches Front Page of Wired 08/27/2013 On August 23rd, the magazine dedicated its front-page story to an article discussing the groups solution to the overheating of microprocessors in smartphones and tablets. Improving materials that convert heat to electricity and vice-versa 05/08/2013 Pipe's research team has found a way to nearly double the efficiency of a particular class of them that's made with organic semiconductors U-M to host 14th PHONONS conference 07/03/2012 The 14th International Conference on Phonon Scattering in Condensed Matter will be held at the Michigan League on the University of Michigan campus during July 8-12 Pagination Next page Mechanical Engineering Homepage G.G. Brown Laboratory 2350 Hayward Ann Arbor MI 48109 Phone: (734) 764-2694 Engineering Homepage About Research Academics Admissions Departments Giving Connect with us ME LinkedIn ME Facebook ME Youtube 2019 The Regents of the University of Michigan Ann Arbor, MI 48109 USA | Non-Discrimination Policy | Campus Safety | U-M Home diff --git a/src/data/compiled_bios/3939.txt b/src/data/compiled_bios/3939.txt new file mode 100644 index 0000000000..48161bbc8b --- /dev/null +++ b/src/data/compiled_bios/3939.txt @@ -0,0 +1 @@ + Resonant MEMS Group - University of Michigan Welcome to the Resonant MEMS Group website. Our work is primarily in the area of adaptable nano- and Micro-electromechanical systems (N/MEMS) for smart radio applications and high-frequency telecommunication. More specifically, we are working on developing a technology platform that offers diverse functionalities by integrating more-than-Moore components such as reconfigurable passives, switches, and sensors all integrated on the same substrate. For decades, the electronics industry has benefited mainly from integration and scaling of transistors. The next era is about functional diversification and monolithic/heterogeneous integration of new devices and material systems on the same chip or in the same package at low cost. Because of many advantages of silicon, the future of electronics depends not on displacing it, but rather on integration of other material systems with silicon to leverage advantages of both technologies. To this end, we are working on integrating novel sensors using gallium nitride or aluminum nitride thin-films onto silicon platforms. An example is our recently developed uncooled infrared sensors that make use of intrinsic temperature-sensitive properties of piezo/pyroelectric materials to achieve high sensitivity, with applications in low-power night vision and proximity sensing. Currently, most electronic circuits are targeted for a specific application and their functionality is fixed. There is a great demand for smart electronics, where the system response can change in different conditions. To develop such a system, in addition to sensor integration for situation awareness, it is essential to develop reconfigurable hardware. To address this need, we are developing several electrically tunable components, including reconfigurable filters, capacitors, and inductors. More recently, we are developing new switch structures using a phase-change material, germanium telluride. Such switches are as small as their semiconductor counterparts and can be integrated on silicon for increased versatility but offer significantly lower loss and higher isolation at the off state. Our group, the Resonant MEMS group, is part of the Wireless Integrated MicroSensing & Systems (WIMS 2 ) Center at the University of Michigan. Watch our Meet the Faculty YouTube video at: Resonant MEMS: Mina Rais-Zadeh Recent News Resonant MEMS group welcomes Dr. Afzaal Qamar Congratulations to Dr. Muzhi Wang on successfully defending his Ph.D. Congratulations to Azadeh on her new position: Assistant Professor of Electrical and Computer Engineering, Georgia Institute of Technology Current Research Projects High-Performance Integrated RF Tunable Components and Filters RF Switches using Phase Change Materials Gallium Nitride Resonators and Resonant Body Transistors Non-linear Effects in Gallium Nitride Acoustic Resonators Piezoelectric Micromechanical Resonators for IR Detection Chip Scale Ultra-Stable Clocks Single Chip Timing and Inertial Measurement Unit Copyright 2019 The University of Michigan diff --git a/src/data/compiled_bios/394.txt b/src/data/compiled_bios/394.txt new file mode 100644 index 0000000000..2aa7fb0240 --- /dev/null +++ b/src/data/compiled_bios/394.txt @@ -0,0 +1 @@ +Name: Sarac, Kamil:: Position: Professor:: Degrees: Ph.D., Computer Science, University of California, Santa Barbara, 2002; M.S., Computer Science, University of California, Santa Barbara, 1997; B.S., Computer Science, The Middle East Technical University, Turkey, 1994; Research Interests: Computer Networks; Internet Measurements, Network and Service Monitoring; Network Protocol Design; RepresentativePublications: Measuring Path Divergence in the Internet, Nazim Ahmed, Kamil Sarac,IEEE IPCCC, December 2014.; Adaptive Information Coding for Secure and Reliable Wireless Telesurgery Communications, M.E. Tozal, Y. Wang, E. Al-Shaer, K. Sarac, B. Thuraisingham, B-T. Chu,Journal of Mobile Networks and Applications, Vol.18, Issue 5, pp 697-711, October 2013.; Polynomial Time Solution to Minimum Forwarding Set Problem in Wireless Networks under Disk Coverage Model, M. Baysan, K. Sarac, and R. Chandrasekaran,Ad Hoc Networks Journal,Vol.10, No. 7, pp.1253-1266, September 2012.; PalmTree: An IP Alias Resolution Algorithm with Linear Probing Complexity, M.E. Tozal and K. Sarac,Computer Communications,Vol. 34, No. 5, pp. 658-669, April 2011.; TraceNET: An Internet Topology Data Collector, M.E. Tozal and K. Sarac, ACM IMC 2010, Melbourne, Australia, November 2010.; Notable Service: Director of Cyber Security Education Programs at CS Department at UT Dallas, 2012 present; Area Editor, Elseiver Science Ad Hoc Networks Journal, 2008 present; Jonsson School Distinguished Teaching Award for Computer Science, April 2014; diff --git a/src/data/compiled_bios/3940.txt b/src/data/compiled_bios/3940.txt new file mode 100644 index 0000000000..3156fed5d5 --- /dev/null +++ b/src/data/compiled_bios/3940.txt @@ -0,0 +1 @@ + BIRDS Menu About Research People Shai Revzen Current Members Lab Alumni Media YouTube Channel Blog Talks Robots Teaching Publications General Publications Conferences Code Internal Lab Wiki Calendar inventory Welcome to the Biologically Inspired Robotics Lab! EECS 498: Hands-on Robotics Welcome Professor Revzen and his team at the Biologically Inspired Robotics and Dynamical Systems (BIRDS) Lab are working on discovering, modeling, and reproducing the strategies animals use when interacting with physical objects. This work consists of collaboration with biomechanists to analyze experimental data, developing new mathematical tools for modeling and estimation of model parameters, and construction of robots which employ the new principles. Suggested Reading The Twisting Tennis Racket This paper describes, analyzes, and explains a novel twisting phenomenon which occurs in a triaxial rigid body (such as a tennis racket) when it is rotating ... Event Triggered Stablization Event-triggered control is an idea that appears pleasing theoretically, as well as relaxes the need to have periodic signalling - robotics, it would reduce c... A direct method for Trajectory Optimization of Rigid Bodies Through Contact A paper about trajectory optimization in hybrid systems. Interesting, as it relaxes would be naively been consider a core constraint of hybrid systems - the ... Optimization-based Locomotion Planning, Estimation, and Control Design for Atlas Humonoid Robot A fun paper expanding on the control methods used in the well-known and well-performing Atlas robots by Boston Dynamics. A little bit of a 'behind the curtai... Sensory Feedback in Cockroach Locomotion - Current Knowledge and Open Questions The American cockroach, Periplaneta americana, provides a successful model for the study of legged locomotion. Sensory regulation and the relative importance... Snake-Like Robots Limbless organisms such as snakes can navigate nearly all terrain. In particular, desert-dwelling sidewinder rattlesnakes (Crotalus cerastes) operate effecti... Recent News Dynamic Walking 2018 In May 2018, we had the opportunity to present and attend at Dynamic Walking 2018 held in Pensacola, FL. A nice proof of Grnwall's inequality Here is a nice proof of Grnwall's inequality. Affine Nonholonomic Systems Lagrangian mechanics is an important tool to understanding mechanical systems, but often must incoporate nonholonomic constraints. When the constraints are a... Differentiation under the integral sign In calculus, Leibniz's rule for differentiation under the integral sign states that, modulo precise regularity assumptions, $$\frac{d}{dx} \int_{a(x)}^{b(x)}... SICB 2018 In January 2018, we had the opportunity to present and attend at SICB 2018 held in San Francisco, CA. A fun fact about the Euler characteristic There are many equivalent definitions of the Euler characteristic $\chi(Y)$ of a space $Y$. I recently learned another of these, valid in the case that $Y$ i... Contact Us Email: shrevzen[at]umich[dot]edu Location: Room 4344, EECS Building, 1301 Beal Avenue, Ann Arbor, MI Campus Map 2016 BIRDS. All rights reserved. diff --git a/src/data/compiled_bios/3941.txt b/src/data/compiled_bios/3941.txt new file mode 100644 index 0000000000..8868d9032d --- /dev/null +++ b/src/data/compiled_bios/3941.txt @@ -0,0 +1 @@ + Kamal Sarabandi | Radiation Laboratory, Electrical and Computer Engineering (ECE) @ Michigan Home About Research Applied Electromagnetics Advanced Electromagnetic Materials Antennas Computational Electromagnetics Plasma Science & Engineering RF, Microwave, and Millimeter-Wave Circuits Remote Sensing Wave Propagation People Faculty Staff Students Research Fellows Technical Reports + Dissertations Technical Reports Dissertations Events News Awards Contact Kamal Sarabandi The Rufus S. Teesdale Professor of Engineering Director, The Radiation Laboratory 3228 EECS The University of Michigan Ann Arbor, MI 48109-2122 Tel: (734) 764-0500 Fax: (734) 647-2106 Email: saraband@umich.edu Secretary: Ms. Alesha Thomas 3228 EECS 1301 Beal Avenue Ann Arbor, MI 48109-2122 Tel: (734) 764-0500 Email: aleshtho@umich.edu Kamal Sarabandi Home Honors and Awards Paper Awards Patents Research Interests In the News Short Bio Book Chapters Conference Papers Journal Articles Research Areas and Projects Current Students Former PhD Students Gallery EECS College of Engineering University of Michigan The Regents of the University of Michigan diff --git a/src/data/compiled_bios/3942.txt b/src/data/compiled_bios/3942.txt new file mode 100644 index 0000000000..752bfbbb75 --- /dev/null +++ b/src/data/compiled_bios/3942.txt @@ -0,0 +1 @@ + Armin Sarabi Armin Sarabi Toggle Menu Armin Sarabi Research Scientist University of Michigan Follow Ann Arbor, MI Email Google Scholar Curriculum Vitae I am an assistant research scientist in the EECS department at the University of Michigan, working with Prof. Mingyan Liu . I received my MSE and PhD in electrical engineering from the University of Michigan, and my BSc in electrical engineering from Sharif University of Technology in Iran. My research focuses on the applications of machine learning and data-driven analysis for security and Internet measurement, as well as the economics of information security. Teaching Fall 2018 - ENG 100 (Section 400/410) : Self-Driving Cars, Drones, and Beyond, An Intro to Autonomous Electronic Systems Publications Journal Papers Risky Business: Fine-Grained Data Breach Prediction Using Business Profiles Armin Sarabi, Parinaz Naghizadeh, Yang Liu, and Mingyan Liu Journal of Cybersecurity , 2016 Conference Papers Characterizing the Internet Host Population Using Deep Learning: A Universal and Lightweight Numerical Embedding Armin Sarabi, and Mingyan Liu Internet Measurement Conference (IMC) , 2018 From Patching Delays to Infection Symptoms: Using Risk Profiles for an Early Discovery of Vulnerabilities Exploited in the Wild Chaowei Xiao, Armin Sarabi, Yang Liu, Bo Li, Mingyan Liu, and Tudor Dumitra Usenix Security Symposium , 2018 Patch Me If You Can: A Study on the Effects of Individual User Behavior on the End-Host Vulnerability State Armin Sarabi, Ziyun Zhu, Chaowei Xiao, Mingyan Liu, and Tudor Dumitra International Conference on Passive and Active Network Measurement (PAM) , 2017 Prioritizing Security Spending: A Quantitative Analysis of Risk Distributions for Different Business Profiles Armin Sarabi, Parinaz Naghizadeh, Yang Liu, and Mingyan Liu Workshop on the Economics of Information Security (WEIS) , 2015 Cloudy with a Chance of Breach: Forecasting Cyber Security Incidents Yang Liu, Armin Sarabi, Jing Zhang, Parinaz Naghizadeh, Manish Karir, Michael Bailey, and Mingyan Liu Usenix Security Symposium , 2015 Predicting Cyber Security Incidents Using Feature-Based Characterization of Network-Level Malicious Activities Yang Liu, Jing Zhang, Armin Sarabi, Mingyan Liu, Manish Karir, and Michael Bailey ACM International Workshop on Security and Privacy Analytics (IWSPA) , 2015 Talks Compressing the Internet Using Deep Learning: Numerical Characterization of the Internet Host Population CSP Seminar , University of Michigan , Apr 2017 2018 Armin Sarabi. Powered by Jekyll & Minimal Mistakes . diff --git a/src/data/compiled_bios/3943.txt b/src/data/compiled_bios/3943.txt new file mode 100644 index 0000000000..7df1dc53cd --- /dev/null +++ b/src/data/compiled_bios/3943.txt @@ -0,0 +1 @@ + Clayton Scott Clayton Scott Professor Electrical Engineering and Computer Science and Statistics (courtesy appointment) University of Michigan Phone: 734-615-3656 Fax: 734-763-8041 Office: 4433 EECS Postal Address: 1301 Beal Avenue Ann Arbor, MI 48109-2122 Affiliations at UM: ECE , SP , Stats, MIDAS , AI , CCMB [ Research | Teaching | Publications | Talks | Software | Education | Resources ] [ Current students | Former students | Prospective students | Letters of recommendation ] Research interests: Machine learning, pattern recognition, statistical signal processing, and applications. Repetitive Strain Injury Resource Page Sunrises and Sunsets diff --git a/src/data/compiled_bios/3944.txt b/src/data/compiled_bios/3944.txt new file mode 100644 index 0000000000..3281e24df1 --- /dev/null +++ b/src/data/compiled_bios/3944.txt @@ -0,0 +1 @@ + Dennis Sylvester | Electrical and Computer Engineering (ECE) @ Michigan Dennis Sylvester Professor Dennis Sylvester Professor Home Teaching CV Dennis Sylvester Professor Director, Michigan Integrated Circuits Laboratory University of Michigan EECS Department Electrical & Computer Engineering 1301 Beal Ave., 2417C EECS Ann Arbor, MI 48109 Tel: 734-615-8783 Fax: 734-763-9324 Email: Assistant: Fran Doman Telephone: (734) 615-3499 Email: FOR MORE IN-DEPTH INFORMATION, PLEASE VISIT Michigan Integrated Circuits Laboratory My research focuses on ultra-low power circuit design (analog, mixed-signal, and digital), small form-factor microsystems, and near-threshold computing. Applications of interest include implantable devices, environmental monitoring, as well as high-performance computing. For more details about the individual projects ongoing in my research group, please visit: http://www.eecs.umich.edu/micl/ . If you are interested in this type of research, please email me a resume and give me an idea of potential topics you may like to work on ( dennis@eecs.umich.edu ). EECS College of Engineering University of Michigan The Regents of the University of Michigan diff --git a/src/data/compiled_bios/3945.txt b/src/data/compiled_bios/3945.txt new file mode 100644 index 0000000000..cbc8a67c69 --- /dev/null +++ b/src/data/compiled_bios/3945.txt @@ -0,0 +1 @@ + Dawn Tilbury Home Page Dawn Tilbury I am a Professor in the Mechanical Engineering department at the University of Michigan in Ann Arbor , and I have a courtesy appointment in the EECS department. You can find my CV here . My research interests lie in the area of control systems, and I am a member of the Robotics Group and the Controls Group in the College of Engineering . My undergraduate degree is in Electrical Engineering from the University of Minnesota . I did my M.S. and Ph.D. at the University of California in Berkeley, in the EECS Department in the Intelligent Machines and Robotics Laboratory. As a graduate student, I had the opportunity to be a visiting scholar at various places including: the robotics group at LAAS in Toulouse, LSS at Supelec in Paris, LIDS at MIT , and the robotics lab at Harvard. During my sabbatical leave in 2001-2002, I was an Academic Visitor at the IBM T. J. Watson Research Center in Hawthorne, NY in the Performance Management Group , and a Visiting Professor at ITIA , the Institute for Industrial Technologies and Automation, in Milan, Italy. During the summer of 2003, I was a summer professor intern at DaimlerChrysler in the Advance Manufacturing Engineering group in Auburn Hills, MI. In May 2004, I taught a course (ME 360) at Shanghai JiaoTong University as part of the UM-SJTU cooperative agreement. I am an alumna of the Defense Science Study Group ; see Annie Anton's web page for a description of our activities. I am also a former member of the Information Science and Technology (ISAT) Study Group. During my sabbatical leave in 2010-11, I was a Guest Professor in the Department of Automatic Control at Lund University in Sweden. I worked on the DIAdvisor project. My office number is 3464 G. G. Brown, phone (734) 936-2129, fax (734) 647-3170, and my mailing address is: Mechanical Engineering Department University of Michigan 2250 G. G. Brown Building 2350 Hayward Street Ann Arbor, MI 48109-2125 USA but it's much easier to just send email: tilbury@umich.edu . Research My lab website is: http://tillab.engin.umich.edu My research interests include control theory and applications in many different domains. Within the ERC for Reconfigurable Manufacturing Systems, I have worked in the areas of logic control and networked control systems. We have a Reconfigurable Factory Testbed (RFT) on which we implement many of the control methodologies that we develop. We published some of our testing results for wireless networks in a Wireless Test Results Booklet . As part of our manufacturing testbed, we use Simio simulation software under a grant from Simio LLC ( www.simio.com ). I was the director of the Ground Robotics Research Center on reliability of autonomous ground vehicles. The robotics activities are now within the ARC, and I was Deputy Director of the Automotive Research Center (ARC) from 2011-2013. My research includes developing methods to improve reliability through reconfigurable control and enhanced human-machine interfaces. I am also helping to organize the Robotics Initiative within the College of Engineering. I previously worked with colleagues at IBM in the application of control theory to computing systems, see our book on Feedback Control of Computing Systems . I have also done some work in nonlinear control, both theory and applications, looking at problems of trajectory generation and stabilization for nonlinear systems, and applications to such systems as a helicopter and mobile robots. The best way to find a listing of my publications is via my Google Scholar profile. Service ASME Dynamic Systems and Control Division From July 2010 through June 2011, I was the Chair of the DSCD . Mentoring and Networking Workshop for Junior Women Faculty in the Big 10 In April 2010 and 2013, I co-organized the Big 10 Women's Workshop in Milwaukee. The purposes of the workshop were to provide a professional networking opportunity, cultivate peer collaboration and mentoring relationships, and foster interactions between junior women faculty and senior women faculty role models. ASME-DSC Conference 2008 I was on the organizing committee for the first Annual ASME Dynamic Systems and Control Conference , held in Ann Arbor, October 20-22, 2008. WODES 2006 I co-organized the 8th International Workshop on Discrete Event Systems (WODES) , held in Ann Arbor, July 10-12, 2006. Check the website for photos of the conference, banquet, and dinner trek. Workshop on Logic Control In June 2000, I co-organized a Workshop on Logic Control for Manufacturing Systems , which brought together industry practitioners and academic researchers to discuss problems and solutions. One of the outcomes of the workshop was a list of the Top 10 Challenges in Logic Control for Manufacturing Systems . Teaching ME360, Modeling, Analysis, and Control of Dynamic Systems. Fall 1997, Winter 1998, Winter 2000, Winter 2001, Winter 2003, Winter 2004, Fall 2006, Winter 2009, Fall 2009, Fall 2013. ME395, Laboratory I. Winter 1999, Winter 2000, Fall 2002, Winter 2004, Winter 2005, Winter 2006, Winter 2012, Winter 2016 ME461, Automatic Control. Winter 1995, Winter 1996, Fall 1998, Fall 1999, Fall 2005, Fall 2011, Winter 2017. ME540/Aero540, Introduction to Dynamics. Fall 2004. ME561/EECS561/Aero571, Design of Digital Control Systems. Winter 1997. ME564/EECS560/Aero550, Linear Systems Theory. Fall 1996, Fall 1998, Fall 2000, Fall 2012. ME/EECS/Mfg 567, Introduction to Robotics Winter 2007, Winter 2008, Winter 2013, Winter 2015 ME662/EECS 662/Aero 672, Advanced Nonlinear Control. Fall 1995. Control Tutorials for Matlab and Simulink In conjunction with teaching ME461, I developed a set of web-based tutorials to introduce students to the use of Matlab for the design and analysis of control systems. These tutorials won an Undergraduate Computational Science Award from the US Department of Energy through the Ames Laboratory, and the Educom Medal , nominated by ASME. The NSF supported the original development these tutorials. An updated (for Matlab 5) and expanded (to include Simulink tutorials) version of the tutorials was published by Addison-Wesley (now Prentice Hall) in 1999. The tutorials were completely updated in 2012 by Professors Bill Messner and Rick Hill. Linear Systems Theory on YouTube When I taught Linear Systems Theory (ME 564/EECS 560/Aero 550) in Fall 2012 I asked the students in class to create videos about some of the concepts we covered. The purpose of the video assignment was for students to get to know some other students in class. Some of the videos have been posted to YouTube, follow the link above. 3/19/18 diff --git a/src/data/compiled_bios/3946.txt b/src/data/compiled_bios/3946.txt new file mode 100644 index 0000000000..2f2ec1c4bf --- /dev/null +++ b/src/data/compiled_bios/3946.txt @@ -0,0 +1 @@ + Prof. Leung Tsang EECS Home | ECE Division | Radiation Lab Leung Tsang Address: University of Michigan Radiation Laboratory Department of Electrical Engineering and Computer Science 1301 Beal Ave Ann Arbor, MI 48109-2122, USA Phone: (734) 764-7651 Fax: (734) 647-2106 Office: 3244 EECS Building Email: leutsang@umich.edu Biosketch Leung Tsang is presently a Professor of Electrical Engineering and Computer Science at the University of Michigan, Ann Arbor. Leung Tsang was born in Hong Kong. He completed High School at Wah Yan College, Kowloon, Hong Kong . He received the SB, SM, EE, and Ph.D. degrees all from the Department of Electrical Engineering and Computer Science of the Massachusetts Institute of Technology. He was an Assistant/Associate Professor of Electrical Engineering at Texas A&M University, College Station, Texas in 1980-1983. He was a Professor of Electrical Engineering at the University of Washington, Seattle, in 1983-2014, and was the Department Chair of UWEE in 2006-2011. Between 2001-2004, he was on leave from University of Washington and was a Professor Chair at the Department of Electronic Engineering of the City University of Hong Kong . He was the Editor-in-Chief of the IEEE Transactions on Geoscience and Remote Sensing in 1996-2000. He was the President of IEEE Geoscience and Remote Sensing Society 2006-2007. Since April 2008, he has been the President of the Electromagnetics Academy, Cambridge, Massachusetts. Current Research Interests Wave propagation and scattering, random media, rough surfaces with applications in environmental remote sensing Computational electromagnetics Signal integrity, electromagnetic compatibility Plasmonics Home Honors Teaching Activities Professional Services Books Journal Papers Group Members PhD Graduates Computer Codes and Simulations Computational Facilities Contact May 2015 @ University of Michigan diff --git a/src/data/compiled_bios/3947.txt b/src/data/compiled_bios/3947.txt new file mode 100644 index 0000000000..2b857f8c5d --- /dev/null +++ b/src/data/compiled_bios/3947.txt @@ -0,0 +1 @@ + Fawwaz Ulaby | Radiation Laboratory, Electrical and Computer Engineering (ECE) @ Michigan Home About Research Applied Electromagnetics Advanced Electromagnetic Materials Antennas Computational Electromagnetics Plasma Science & Engineering RF, Microwave, and Millimeter-Wave Circuits Remote Sensing Wave Propagation People Faculty Staff Students Research Fellows Technical Reports + Dissertations Technical Reports Dissertations Events News Awards Contact Fawwaz Ulaby Home Henry Russel Lecture Honors and Awards Selected Publications Short Bio Google Scholar Fawwaz Ulaby Emmett Leith Distinguished University Professor of EECS Arthur F. Thurnau Professor 3228 EECS The University of Michigan Ann Arbor, MI 48109-2122 Tel: (734) 647-1789 Fax: (734) 647-2106 Email: ulaby@umich.edu Secretary: Ms. Alesha Thomas Tel: (734) 764-0500 Email: aleshtho@umich.edu Canada Peru Chile Galapagos Islands New Zealand Empty Quarter, Saudi Arabia EECS College of Engineering University of Michigan The Regents of the University of Michigan diff --git a/src/data/compiled_bios/3948.txt b/src/data/compiled_bios/3948.txt new file mode 100644 index 0000000000..3cb6879c75 --- /dev/null +++ b/src/data/compiled_bios/3948.txt @@ -0,0 +1 @@ + Blue Ice - Free Template Home Bio Research Publications Conferences & Talkes Teaching Service CV Links Salimeh YASAEI SEKEH Please visit my new webpage! Copyright 2012 yourname.com. All Rights Reserved. | Design by PSP Spiele diff --git a/src/data/compiled_bios/3949.txt b/src/data/compiled_bios/3949.txt new file mode 100644 index 0000000000..b057792e25 --- /dev/null +++ b/src/data/compiled_bios/3949.txt @@ -0,0 +1 @@ + Yoon Lab - Home Contact us at: Home People Research Publications Fun Welcome to Yo on Lab Our group focuses on creating self-contained microsystems that combine and process natural signals as well as electrical signals on a single chip platform by integrating new MEMS/nano structures with low-power, wireless VLSI circuits and systems. We invite you to browse our website to learn more about us and our research. Self-Powered Image Sensor Could Watch You Forever 4/10/2018 Recently, IEEE Spectrum reported Dr. Sung-Yun Park,Kyuseok Lee and Hyunsoo Song's exciting work on Self-powered Image Sensor Check it out at IEEE Spectrum: https://spectrum.ieee.org/tech-talk/semiconductors/optoelectronics/selfpowered-image-sensor-could-watch-you-forever Prof. Yoon received Ted Kennedy Family Faculty Team Excellence Award. 4/4/2018 Read More at: http://www.eecs.umich.edu/eecs/about/articles/2018/combat-team-award.html Prof. Yoon gave the keynote talk at 2017 LNF User Symposium 12/6/2017 Prof. Yoon gave a talk titled "Biointerface Technologies: Where Engineering Meets Science and Medicine" at the yearly LNF User Symposium. The recording of the talk is now available on YouTube. Link: news.engin.umich.edu/2017/12/2017-lnf-user-symposium-keynote/ A research team led by Prof. Yoon and Dr. Seymour received $ 7.75 M for mapping circuits in the brain! 8/2/2017 A new NSF Tech Hub will put tools to rapidly advance our understanding of the brain into the hands of neuroscientists. Read more at: https://news.engin.umich.edu/2017/08/7-75m-for-mapping-circuits-in-the-brain/ http://eecs.umich.edu/eecs/about/articles/2017/7-75m-for-mapping-circuits-in-the-brain.html Yu-Chih's paper on single-cell detachment and retrieval method for study of divided sister cells was published in ACS Nano! 7/5/2017 Yu-Chih's new paper, titled "Selective Photo-Mechanical Detachment and Retrieval of Divided Sister Cells from Enclosed Microfluidics for Downstream Analysis" was published in ACS Nano. Congratulations! Read more at: http://eecs.umich.edu/eecs/about/articles/2017/sister-cell-profiling-aims-to-shut-down-cancer-metastasis.html https://news.engin.umich.edu/2017/05/sister-cell-profiling/ http://www.futurity.org/sister-cells-cancer-1429302-2/ https://phys.org/news/2017-05-sister-cell-profiling-aims-cancer.html <Language Resources and Evaluation and co-editor of a book series Text, Speech, and Language Technology for Springer Publishers. diff --git a/src/data/compiled_bios/3972.txt b/src/data/compiled_bios/3972.txt new file mode 100644 index 0000000000..1c3e78268d --- /dev/null +++ b/src/data/compiled_bios/3972.txt @@ -0,0 +1 @@ +Rui Meireles holds Computer Science PhD degrees from Carnegie Mellon University and the University of Porto. His research interests lie in the general areas of networking and distributed systems. His research is applied and experimental in nature: designing protocols, creating prototypes and evaluating them in realistic environments. He has focused mainly in the area of Vehicular Ad-Hoc Networks. Vehicular networks wirelessly connect vehicles amongst themselves and with roadside infrastructure, with the goals of improving traffic safety and efficiency, as well as providing entertainment to passengers. diff --git a/src/data/compiled_bios/3973.txt b/src/data/compiled_bios/3973.txt new file mode 100644 index 0000000000..dfef61b729 --- /dev/null +++ b/src/data/compiled_bios/3973.txt @@ -0,0 +1 @@ +Visiting Assistant Professor of Computer Science diff --git a/src/data/compiled_bios/3974.txt b/src/data/compiled_bios/3974.txt new file mode 100644 index 0000000000..582d487078 --- /dev/null +++ b/src/data/compiled_bios/3974.txt @@ -0,0 +1 @@ +Professor Smith earned his BS, MS, and PhD degrees from the University of Central Florida. He worked for AT&T for fifteen years, in several different IT capacities, during which time his PhD studies were sponsored by AT&Ts Doctoral Support Program. His research spans elements of theoretical and experimental computer science, in the area of parallel and distributed computation. His interests include models of concurrency, bioinformatics (specifically, computational phylogeny), and programming languages (semantics, paradigms, and unifying theories). diff --git a/src/data/compiled_bios/3975.txt b/src/data/compiled_bios/3975.txt new file mode 100644 index 0000000000..05077d52e9 --- /dev/null +++ b/src/data/compiled_bios/3975.txt @@ -0,0 +1 @@ +Faculty Research Associate in Computer Science diff --git a/src/data/compiled_bios/3976.txt b/src/data/compiled_bios/3976.txt new file mode 100644 index 0000000000..10512b101c --- /dev/null +++ b/src/data/compiled_bios/3976.txt @@ -0,0 +1 @@ +Professor Walters research concentrates on the development and simulation of distributed algorithms. Her particular focus currently involves adapting existing distributed algorithms for use on wireless ad hoc networks and creating new motion planning algorithms for self-reconfigurable robotic systems. Jenny teaches introductory computer science (CMPU-101 and 102), analysis of algorithms (CMPU-241), formal language theory (CMPU-240), computational complexity, computational geometry, and distributed algorithms. diff --git a/src/data/compiled_bios/3977.txt b/src/data/compiled_bios/3977.txt new file mode 100644 index 0000000000..8fec97ebd5 --- /dev/null +++ b/src/data/compiled_bios/3977.txt @@ -0,0 +1 @@ + Scott Aaronson I'm David J. Bruton Centennial Professor of Computer Science at The University of Texas at Austin , and director of its Quantum Information Center . Prior to coming here, I taught for nine years in Electrical Engineering and Computer Science at MIT. My research interests center around the capabilities and limits of quantum computers, and computational complexity theory more generally. Book [Order from Amazon.com] [Order from Amazon.co.uk] [Kindle edition] Personal CV Blog FAQ Old Writings Research Research Papers Talks Thesis Research Statement Pedagogy CS395T Quantum Complexity Theory (UT Austin, Spring 2019) CS378 Introduction to Quantum Information Science (UT Austin, Fall 2018) CS378 Introduction to Quantum Information Science (UT Austin, Spring 2017) CS395T Quantum and Classical Complexity Theory (UT Austin, Fall 2016) The Complexity of Quantum States and Transformations: From Quantum Money to Black Holes (Bellairs Research Institute, Spring 2016) 6.045 Automata, Computability, and Complexity (MIT, Spring 2016) 6.S899 Seminar on Computation and Physics (MIT, Fall 2015) 6.045 Automata, Computability, and Complexity (videos) (MIT, Spring 2015) 6.845 Quantum Complexity Theory (MIT, Fall 2014) 6.045 Automata, Computability, and Complexity / GITCS (MIT, Spring 2013) 6.845 Quantum Complexity Theory (MIT, Fall 2012) 6.045 Automata, Computability, and Complexity / GITCS (MIT, Spring 2012) 6.893 Philosophy and Theoretical Computer Science (MIT, Fall 2011) 6.045 Automata, Computability, and Complexity / GITCS (MIT, Spring 2011) 6.845 Quantum Complexity Theory (MIT, Fall 2010) 6.045 Automata, Computability, and Complexity / GITCS (MIT, Spring 2010) 6.045 Automata, Computability, and Complexity / GITCS (MIT, Spring 2009) 6.896 Quantum Complexity Theory (MIT, Fall 2008) 6.089 Great Ideas In Theoretical Computer Science (MIT, Spring 2008) Quantum Computing Since Democritus (University of Waterloo, Fall 2006) Teaching Statement The Complexity Zoo Students Andrew Drucker : PhD, graduated MIT August 2012, now Assistant Professor at the University of Chicago Michael Forbes : graduated MIT April 2014, now Assistant Professor at the University of Illinois, Urbana-Champaign (co-advised with Amir Shpilka) Alex Arkhipov: PhD, graduated MIT June 2017, now in industry Adam Bouland : PhD, graduated MIT June 2017, now a postdoc at UC Berkeley Shalev Ben-David: PhD, graduated MIT June 2017, now Assistant Professor at the University of Waterloo Luke Schaeffer: PhD, in progress Saeed Mehraban : PhD, in progress Daniel Grier : PhD, in progress Patrick Rall : PhD, in progress Daniel Liang: PhD, in progress William Kretschmer: PhD, in progress Jiahui Liu: PhD, in progress Postdocs Chunhao Wang (UT Austin) Nai-Hui Chia (UT Austin) Thomas Wong (UT Austin); now a professor at Creighton University Zak Webb (UT Austin) Supartha Podder (UT Austin); now a postdoc at University of Ottawa Robin Kothari (MIT): co-advised, now at Microsoft Research Alexander Belov (MIT): now at University of Latvia Xiaodi Wu (MIT): now a professor at University of Maryland Thomas Vidick (MIT): now a professor at Caltech Avinatan Hassidim (MIT): co-advised, now a professor at Bar-Ilan University Contact The best way to reach me is via email: aaronson at cs dot utexas dot edu Office: GDC (Gates Dell Complex) 4.422 Office phone: (512)-471-7797 Administrative assistant: Kathryn Murphy GDC 4.318 (512)-471-9515 diff --git a/src/data/compiled_bios/3978.txt b/src/data/compiled_bios/3978.txt new file mode 100644 index 0000000000..d1172c0048 --- /dev/null +++ b/src/data/compiled_bios/3978.txt @@ -0,0 +1 @@ + My name is Sarah Abraham, and I am a lecturer at the University of Texas at Austin in the Department of Computer Science. For my dissertation, I worked with Don Fussell in the high performance computer graphics lab with an interest in non-photorealistic rendering, and intuitive simulation-based tools for artists. My other interest is video game design and programming. Video games fascinate me as both an artistic and entertainment medium, and I am very inspired by the film makers Andrei Tarkovsky, Akira Kurosawa, and Yuri Norstein, as well as the philosophy and humanity of the 19th Century Russian writers such as Lev Tolstoy and Fyodor Dostoevsky. I believe video games can foster greater cooperation and empathy, and I am exploring this through my company, Akula Games . Publications Fluid Brush . Sarah Abraham, Etienne Vouga, and Donald Fussell. 2018. In Proceedings of the Joint Symposium on Computational Aesthetics and Sketch-Based Interfaces and Modeling and Non-Photorealistic Animation and Rendering (Expressive '18). Supplementary Material . Skazka: Exploring Empathy Through Cooperative Mechanics and Narrative. . Sarah Abraham. Rivers, S. E., & McDonald, H. (2018). Well Played Vol. 7, No. 2. Pittsburgh, PA: Carnegie Mellon University: ETC Press. Smoke Brush . Sarah Abraham and Donald Fussell. 2014. In Proceedings of the Workshop on Non-Photorealistic Animation and Rendering (NPAR '14). Current Courses CS354 Computer Graphics. CS354R Game Technology. CS329E Elements of Mobile Computing. All Courses CS354 Computer Graphics. CS354R Game Technology. CS329E Elements of Mobile Computing. CS324E Elements of Graphics. CS349 Contemporary Issues in Computer Science. Akula Games Akula Games started as an experiment in mobile development, but we are currently working on our first PC title, Skakza . You can learn more about this development process through our blog, Tale of Tales . We also are developing educational curriculum for K-12 by using game development as a platform for critical reasoning and mastering material. You can learn more about this initiative at Akula Games: Education . diff --git a/src/data/compiled_bios/3979.txt b/src/data/compiled_bios/3979.txt new file mode 100644 index 0000000000..c5674e8c95 --- /dev/null +++ b/src/data/compiled_bios/3979.txt @@ -0,0 +1 @@ + Lorenzo Alvisi University Distinguished Teaching Professor Emeritus Professor No. 5 Emeritus in Computer Science Former codirector of the Laboratory for Advanced System Research (LASR) Ph.D. in Computer Science: Cornell , 1996 M.S. in Computer Science: Cornell , 1994 Laurea in Physics: Universit di Bologna , Italy, 1987 E-mail : lorenzo (at) cs (dot) utexas (dot) edu Curriculum Vitae Meet my evil twin (credits: Andrew Matsuoka) After 20 wonderful years at UT Austin, in the Fall of 2016 I moved back to Cornell, my alma mater. My current web page is here . Last Modified Thu August 16 2017, 15:55:00 EDT Lorenzo Alvisi / lorenzo (at) cs (dot) utexas (dot) edu diff --git a/src/data/compiled_bios/398.txt b/src/data/compiled_bios/398.txt new file mode 100644 index 0000000000..d65cec1923 --- /dev/null +++ b/src/data/compiled_bios/398.txt @@ -0,0 +1 @@ +Name: Smith, Jason:: Position: Senior Lecturer:: Degrees: M.S., Computer Science, University of Alabama; B.E., Computer Science, University of Alabama; diff --git a/src/data/compiled_bios/3980.txt b/src/data/compiled_bios/3980.txt new file mode 100644 index 0000000000..43470b12c6 --- /dev/null +++ b/src/data/compiled_bios/3980.txt @@ -0,0 +1 @@ + Chandrajit Bajaj Biography Research Publications Teaching Group Projects Software Sponsors Collaborators Computational Applied Mathematics Chair in Visualization Professor of Computer Science Director of Center for Computational Visualization Department of Computer Science & The Institute of Computational Engineering and Sciences , Center for Computational Visualization 201 East 24th Street, POB 2.324A, 1 University Station, C0200 Austin, TX 78712-0027 My research publications are available here , my books here , and my CV . Click here for my Google Scholar Citations Office Phone : +1 512-471-8870 FAX : +1 512-471-8694 EMAIL : bajaj@cs.utexas.edu Admin. Assoc. : Renya Maku ( rmaku@ices.utexas.edu ) Education B.Tech. in Electrical Engineering(1980) Indian Institute of Technology, New Delhi, India M.S. and Ph.D. in Computer Sciences (1983, 1984) Cornell University, Ithaca, New York Professional Experience Computational Applied Mathematics Chair of Visualization, University of Texas 1997- Professor of Computer Science, University of Texas 1997- Director of Center for Computational Visualization, University of Texas 1997- Director of Image Analysis and Visualization Center, Purdue University 1996-97 Professor of Computer Sciences, Purdue University 1993-97 Associate Professor of Computer Sciences, Purdue University 1989-93 Visiting Associate Professor of Computer Sciences, Cornell University 1990-91 Assistant Professor of Computer Sciences, Purdue University 1984-89 Honors, Awards & Membership in Professional Societies National Science Talent Scholarship, 1975. Dean's Honor Roll, IIT Delhi, 1975-1980, Scholastic Merit Award, (B. Tech. DGPA of 10.00/10.00) Frame Technology Excellence in Publishing Award, 1993 Purdue University, Provost's Research Center Initiation Award, 1994 Association of Computing Machinery, Student Chapter, Appreciation Certificate 2001, Recognition of Service Award, 2002 University of Texas, Faculty Research Assignment Award 2004, Dean Research Assignment Award 2004 Selected Keynote Addresses at SIAM Computational Science (2000), Pacific Computer Graphics (2002), Volume Graphics (2003), EuroGraphics (2004), CyberWorlds (2005), Jacques Morgenstern Lecture, INRIA-Sophia Antipolis, (2006), U. of Stuttgart, (2006), Fraunhofer Institute & U of Darmstadt (2006), Institute of Mathematics and Applications (2006, 2007), UTCS Visons of Computing Lecture Series (2011), William Mong Distinguished Colloquium, Hong Kong University, (2012), Best Paper Awards at Computer Aided Design Conference (2006) and ACM Symposium on Solid and Physical Modeling (2010). Papers Committee Chairman International Symposium on Algebraic and Symbolic Computation (2000), Symposium on Computational Geometry (2002), SIAM/ACM Geometric and Physical Modeling Conference, (2011) Elected Member of Sigma Xi and Upsilon Pi Epsilon Honor Societies Member of the NSF-CISE Board of Visitors, (2004), ETH Zurich Evaluation Committee (2004), INRIA Evaluation Committee (2007), KAUST Center Director Search Chair (2008), Consolider Scientific Committee of the Spanish Ministerio de Ciencia e Innovacion (2008,2009), Austrian Science Foundation (FWF) (2005- ). Chairperson, and member of the NIH "Molecular Structure and Function D" study section, 2011 - 2013 Member of the NIH-NCRR National Biomedical Computation Resource Advisory Committee, 2006 - Member of the National Academy of Sciences -Vietnam Education Foundation, 2006, 2007. ICES-Sid Moncreif Grand Challenge Faculty Research Award, 2009, 2011, 2016-2107 Fellow of the American Association for the Advancement of Science (AAAS), 2008- Fellow of the Association for Computing Machinery (ACM), 2009- Fellow of the Institute of Electrical and Electronics Engineers IEEE), 2013- Fellow of the Society of Industrial and Applied Mathematioso(SIAM), 2016- Distinguished Alumnus of Indian Institute of Technology, Delhi, (IITD), India, 2016. Editorships ACM Computing Surveys International Journal of Computational Geometry and Applications SIAM Journal on Imaging Sciences diff --git a/src/data/compiled_bios/3981.txt b/src/data/compiled_bios/3981.txt new file mode 100644 index 0000000000..6bc8e3ba6a --- /dev/null +++ b/src/data/compiled_bios/3981.txt @@ -0,0 +1 @@ +Dana Ballard Research Interests: Ballard develops systems models of brain function at the behavioral and neural levels. :UTCS Research Areas: Artificial Intelligence Data Mining, Machine Learning, and Natural Computation:Books: D. H Ballard and C. M. Brown, Computer Vision, Prentice Hall 1982 D. H. Ballard, Natural Computation, MIT Press 1987 :5 Most Important Books Currently in Print: Computer Vision, D. H. Ballard and C. M. Brown 1982, Prentice Hall, Currently available online thanks to British Machine Vision group. An Introduction to Natural Computation,1997, MIT Press, D. H. Ballard. :Major Presentations: University Invited Lectures: Berkeley, UC Merced and the Santa Fe Institute, the Cognitive Science workshop series and the ECVP Instructor/lecturer in the Frankfurt FIAS summer school, Cognitive Science, 2006 and 2008 Instructor/lecturer in the Telluride Neuromorphic Engineering workshops :Professional Activities: Editorial positions in five journals including Neural Computation and Perception :Interdisciplinary Activities: Appointments in Psychology, the Institute of Neural Systems and the Center for Perceptual Systems at The University of Texas at Austin : diff --git a/src/data/compiled_bios/3982.txt b/src/data/compiled_bios/3982.txt new file mode 100644 index 0000000000..596ac98917 --- /dev/null +++ b/src/data/compiled_bios/3982.txt @@ -0,0 +1 @@ +Don Batory Research Interests: Batory createsintegrativetheoriesto develop tools, languages, and methodologies for software product lines, model-driven engineering, domain-specific languages, and program refactorings, with an emphasis on principles that both unify these areas and that form a practical engineering basis for automated software development. He is a leading proponent of feature-based development of software, where features are increments in software functionality. Features provide a natural modularization for automated software development as customized programs (or systems) can be specified declaratively, allowing novices to "program" like experts simply by choosing the features that they need. :UTCS Research Areas: Model Driven Engineering:Awards and Honors: Co-authored 10 award-winning papers in Software Engineering (SE) Conferences. Co-authored 2 award-winning papers in SE workshops. Received 2 best paper awards in Database Management. Two students (Sven Apel and Christian Kaestner) that he co-advised won the 2007 Software Engineering Awards for the best national Dissertation and best national Masters Thesis in Germany. Keynotes at 1st FOSD Workshop 2009, MODELS 2008, ETAPS 2007, POPL 2007, AMAST 2004. :5 Most Important Recent Publications: Reasoning about Edits to Feature Models, with T. Thuem and C. Kaestner. International Conference on Software Engineering (ICSE), May 2009. The Objects and Arrows of Computational Design, with M. Azanza and J. Saraiva. Keynote at Model Driven Engineering Languages and Systems (MODELS) 2008. Feature Oriented Model Driven Development: A Case Study for Portlets, with S. Trujillo and O. Diaz. International Conference on Software Engineering (ICSE), 2007. Feature Models, Grammars, and Propositional Formulas. Software Product Line Conference (SPLC) 2005. Scaling Step-Wise Refinement, with J.N. Sarvela and A. Raushmayer. IEEE Transactions on Software Engineering (IEEE TSE) June 2004. :5 Most Important Books Currently in Print: Reasoning about Edits to Feature Models, with T. Thuem and C. Kaestner. International Conference on Software Engineering (ICSE), May 2009. The Objects and Arrows of Computational Design, with M. Azanza and J. Saraiva. Keynote at Model Driven Engineering Languages and Systems (MODELS) 2008. Feature Oriented Model Driven Development: A Case Study for Portlets, with S. Trujillo and O. Diaz. International Conference on Software Engineering (ICSE), 2007. Feature Models, Grammars, and Propositional Formulas. Software Product Line Conference (SPLC) 2005. Scaling Step-Wise Refinement, with J.N. Sarvela and A. Raushmayer. IEEE Transactions on Software Engineering (IEEE TSE) June 2004. :Major Presentations: Keynotes at premier conferences, including MODELS08, POPL07, ETAPS07, and AMAST04. Tutorials on feature-based product-lines: ECOOP 2006, ICSE 2000 & 2003, AOSD 2003 & 2005, OOPSLA 2003 & 2004, the Summer School on Generative Programming 2002, and the Lipari School on Advances in Software Engineering 2007. :Professional Activities: Associate Editor of ACM Transactions on Database Systems (1986-1991) IEEE Transactions on Software Engineering (1999-2002) Served on the ACM Software Systems Award Committee (1989-1993) ACM Software Systems Award Committee Chairman, 1992 : diff --git a/src/data/compiled_bios/3983.txt b/src/data/compiled_bios/3983.txt new file mode 100644 index 0000000000..eac5525c24 --- /dev/null +++ b/src/data/compiled_bios/3983.txt @@ -0,0 +1 @@ + home CS 363D CS 329E Office hours The University of Texas at Austin Computer Science Assistant Professor of Instruction Office Location: GDC 4.314 angie.beasley@utexas.edu about teaching Cool Stuff twitter facebook linkedin diff --git a/src/data/compiled_bios/3984.txt b/src/data/compiled_bios/3984.txt new file mode 100644 index 0000000000..3ccbee0b7c --- /dev/null +++ b/src/data/compiled_bios/3984.txt @@ -0,0 +1 @@ + Home page of Robert Stephen Boyer, Professor Emeritus, Computer Sciences Department Home mailing address: 614 W. 32nd St. Austin, TX 78705 Publications Graduated Ph. D. students Honors Employment The Nqthm theorem prover , some examples of its use, and documentation of its logic and user commands. My ftp directory Technical reports and Ph. D. theses, plus sources, executables, and examples of use for several computer programs, mainly in the research areas of program verification and automated reasoning. The exact same material may be obtained at ftp://ftp.cs.utexas.edu/pub/boyer, which is to say, via anonymous ftp to ftp.cs.utexas.edu, under directory pub/boyer. About one gigabyte of material, authored by many people. The whole 9 yards. Happiness and the Art of Being Standard disclaimer Nothing on my web pages should be taken as representing the official position of the University of Texas at Austin or any other part of the government of the State of Texas. Two Photos of Me 2004 1991 A Question It is generally granted that 'p implies p', which is to say, 'if p, then p'. So what about this claim: 'If any number is prime, then any number is prime'? diff --git a/src/data/compiled_bios/3985.txt b/src/data/compiled_bios/3985.txt new file mode 100644 index 0000000000..07b71d5135 --- /dev/null +++ b/src/data/compiled_bios/3985.txt @@ -0,0 +1 @@ + Dr. William C. Bulko University of Texas Dept. of Computer Science Home Schedule and Office Hours Dept. of Computer Science Canvas Spring 2019 Classes CS 311 CS 313E CS 371L Other useful links Key Dates Spring 2019 Spr 2019 Final Exam Schedule UT Box Register your i>clicker Unicode ASCII (Wikipedia) iOS Mobile Dev't Help Site office location: GDC 4.308 Office Phone: (512) 471-7021 email: bulko@cs.utexas.edu fax: (512) 471-8885 Education: Ph.D. in Computer Sciences, University of Texas. Area of specialization: Artificial Intelligence. Dissertation: "Understanding Coreference in a System for Solving Physics Word Problems". M.S. Computer Sciences, University of Texas. B.S. Mathematics, University of Texas at El Paso. Summa Cum Laude. Professional Experience: 24 years with IBM. Multiple roles including: Software engineer and designer on OS/2 Communications Manager Software test lead on the TCP/IP subsystem of the AIX OS development team Manager of Network Device Driver and Data Communications Software Development First-line and second-line software test manager Plan Manager for the AIX OS development team Plan Manager and Development Strategy Director for the Linux Technology Center Third-line manager of the worldwide Configurator Development organization - Integrated Supply Chain Operations Manager for Tivoli Cloud Software Development Program Manager for Technical Computing Research interests include: Artificial Intelligence, Expert Systems, Programming Languages, Pervasive Computing, and Computer Science Education. Personal interests: Bowling, reading, TV and movies, music, and spending time with my family. Publications: Right Brain, Left Brain: Challenges in Designing a Successful Journalism and Computer Science Collaboration. Jena Heath, William Bulko. Proceedings from the Fall National College Media Convention, October 2015. Method of Supply Chain Adjustment Following a Disaster. David Kumhyr, Glenn Johnson, Yvonne Young, Jacobo Vargas, William Bulko. IP.com Disclosure, IPCOM000212366D, 08-Nov-2011. Patent pending. Use of ARP Cache data to Discover and Report Malfunctioning Systems. David Kumhyr, Glenn Johnson, Yvonne Young, Jacobo Vargas, William Bulko. IP.com Disclosure, IPCOM000192823D, 03-Feb-2010. Patent pending. Method to Use Baseboard Management Controller to Detect Alteration of Electronic Device. David Kumhyr, Glenn Johnson, Yvonne Young, Jacobo Vargas, William Bulko. IP.com Disclosure, IPCOM000184091D, 10-Jun-2009. Patent pending. Time Marking Ink Stick. David Kumhyr, Glenn Johnson, Yvonne Young, Jacobo Vargas, William Bulko. IP.com Disclosure, IPCOM000202182D, 07-Dec-2010. Diagrams and Text as Computer Input. Journal of Visual Languages and Computing, Vol. 4, No. 2, June 1993. Uses of Diagrams in Solving Physics Problems. Proceedings of the AAAI Spring Symposium on Reasoning with Diagrammatic Representations, March 1992. ISDN: What It Can Do Today. IBM Personal Systems Developer Magazine, Fall 1991. Reprinted in: OS/2 2.X Notebook: The Best of IBM Personal Systems Developer Magazine, ed. Dick Conklin. Van Nostrand Reinhold, 1993. Representing Domain-Dependent Data in an Object-Oriented System. IBM Technical Disclosure Bulletin, AT8-91-0266, June 1991. Application Interface to Objects and Methods on Objects. IBM Technical Disclosure Bulletin, AT8-91-0265, June 1991. Implementing Operator Overloading to Create Generic Methods. IBM Technical Disclosure Bulletin, AT8-91-0264, June 1991. Programmable Configuration. IBM Technical Disclosure Bulletin, AT8-91-0263, June 1991. Verification and Access Control in an Object-Oriented System. IBM Technical Disclosure Bulletin, AT8-91-0088, March 1991. Graphic APPC Configuration Interface. IBM Technical Disclosure Bulletin, AT8-90-0399, Jan 1991. Understanding Natural Language with Diagrams. Proceedings of the Eighth National Conference on Artificial Intelligence (AAAI-90), 1990. Intelligent Context-Sensitive Help. IBM Technical Disclosure Bulletin, AT8-90-0219, May 1990. TFR Expert System Shell. IBM Technical Disclosure Bulletin, AT8-90-0138, May 1990. Understanding Coreference in a System for Solving Physics Word Problems. Technical Report AI89-102, University of Texas at Austin, May 1989. Understanding Text with an Accompanying Diagram. Proceedings of the First International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems (IEA/AIE-88), June 1988. Nominated for the 1988 MCC Award for Excellence in Computer Science. Patents: Electromagnetic Profiling to Validate Electronic Device Authenticity. William C. Bulko, Glenn D. Johnson, David B. Kumhyr, Jacobo A. Vargas, Yvonne M. Young. (August 14, 2012.) Patent number 8,242,793 . "Workspace Creation and Management for a Computing Desktop." William C. Bulko, Glenn D. Johnson, David B. Kumhyr, Jacobo A. Vargas, Yvonne M. Young. (July 5, 2016.) Patent number 9,384,011 . Memberships and Other Interesting Stuff: Member, Journal Review Board, Applied Intelligence, 1993 Present Member, Association for Computing Machinery, 1983 Present Member, Professional Bowlers Association, 2012-2013 Trivial Facts: My father spent 27 years in the military, so when I was a child, we moved every couple of years. I've lived in about a dozen different places. I was born in Oklahoma, but we moved when I was only a couple of months old. I don't remember anything about being there, so I deny it really happened. I went to high school in Hawaii, which has lots of water and crowded beaches. After that, my family moved to El Paso, which is all beach but no water. When I first started at UTEP, they didn't have a department of Computer Science, so they had faculty from other departments teaching the CS classes. They also didn't have graduate students to serve as graders and TAs, so they hired me as the first "Undergraduate Teaching Assistant" to help the professors. I got to teach my first college class as a sophomore. When I was a student at UT, I lived in Jester. There was a girl who lived in a room about ten yards away from me. When we met at dinner the first week we arrived in Austin, we did NOT make good first impressions on each other: she thought I was a typical computer science geek, and I thought she was a stuck-up California girl. We've now been married for 32 years. University of Texas Page Last Updated: 12/22/2018 13:07:57 HTML diff --git a/src/data/compiled_bios/3986.txt b/src/data/compiled_bios/3986.txt new file mode 100644 index 0000000000..16ade6fcc6 --- /dev/null +++ b/src/data/compiled_bios/3986.txt @@ -0,0 +1 @@ + Vijay Chidambaram Assistant Professor, Department of Computer Science, The University of Texas at Austin Office: GDC 6.436, 2317 Speedway, Austin, TX 78712 Email: vijayc@utexas.edu Twitter: @vj_chidambaram CV Calendar I lead the UT Systems and Storage Lab . I am also a part of the LASR research group. Research . My group aims to build the next generation of storage systems. This means building storage systems that have higher performance and stronger reliability. We build both storage systems and the tools need to develop such systems rigorously, such as testing frameworks. Our work involves innovation both at the data-structure level and at the systems level. We open-source all the software we build, and aim to have impact both inside academia and in industry. Recent major projects : Crashmonkey and Ace . Tools to systematically test file-system crash consistency. OSDI 2018 Star PebblesDB . Write-optimized key-value store that outperforms LevelDB and RocksDB. SOSP 2017 Star Current projects : Testing reliability of storage systems ( Jayashree Mohan ) Scaling blockchain ( Soujanya Ponnapalli and Aashaka Shah ) Improving performance of persistent-memory applications and file systems ( Rohan Kadekodi and Sekwon Lee ) Recent impact : Crashmonkey-generated tests have been added to xfstests, the file-system test suite for the Linux kernel ( msg , patch ) Crashmonkey found 10 long-standing bugs in btrfs and F2FS in the Linux kernel. Crashmonkey found a bug in the FSCQ verified file system which caused the file system to not persist data on fdatasync. The bug was in the unverified part of the file system (Haskell-C bindings). The techniques behind PebblesDB are being used in the storage product of a major IT company. If you are a student considering grad school or applying for grad school, these links may be useful (advice on contacting profs, getting letters of recommendation, etc.) I maintain the SOSP/OSDI Hall of Fame . This page indicates who has published the most at these premier venues, and who has been publishing recently. These are good guides for grad students trying to decide which professor to work with! My research is supported by NSF , VMware , Facebook , and Google . I am an Affiliated Researcher at VMware Research. Students Jayashree Mohan (PhD) Soujanya Ponnapalli (PhD) Rohan Kadekodi (Masters) Aashaka Shah (PhD) Sekwon Lee (PhD) Post-docs Supreeth Shastri (prev UMass Amherst) Alumni Tianyu Cheng (Masters Apple) Pandian Raju (Masters Rubrik) Dhathri Purohith (Masters Nutanix) Ashlie Martinez (undergrad UWashington-Seattle) Teaching Spring 2018 : Distributed Systems: CS 380D Fall 2017 : Virtualization: CS 378 Fall 2016 : Graduate Operating Systems: CS 380L Fall 2014 : Back at Wisconsin: Introduction to Operating Systems (CS 537) Service PC Member for: 2019: FAST , NSDI , ATC , SOSP 2018: FAST , SYSTOR , ATC , OSDI 2017: ACM SRC (with SOSP) , SOCC , MASCOTS , MSST , HotStorage , NVMW , WWW 2016: HotStorage , NVMW External Reviewer/Review Committee Member for ASPLOS 18 , ASPLOS 17 , Eurosys 17 Reviewer for TOCS, TACO, TDSC, TOS Co-chair of the Poster Session for OSDI 2018 NSF Panelist in 2018 News Jan 2019 : Jayashree Mohan was awarded the Microsoft Research PhD Fellowship ! Jul 2018 : Our work on building transactional file systems using the file-system journal (TxFS) won one of the three Best Paper Awards at ATC 18 ! May 2018 : I was invited to the NSF Workshop on "Data Storage Research 2025"! Mar 2018 : I was awarded a Google Faculty Research Award to work on write-optimized infrastructure! Feb 2018 : Our work on Protocol-Aware Recovery was featured in the Morning Paper ! Feb 2018 : Our work on protocol-aware recovery was awarded one of the best Best Paper Awards at FAST 2018 ! Jan 2018 : Awarded the NSF CAREER Award for project on building IO-efficient infrastructure ! Older News Talks Nov 2018 . Gave a talk about systems research to Nipun Batra 's undergraduate OS class at IIT Gandhinagar . Nov 2018 . Presented CrashMonkey at Microsoft Research, Redmond. Jul 2018 . Presented Merkelized LSM to HatchCrypto class. Apr 2018 . Presented PebblesDB at the Systems Seminar at the University of Washington. Apr 2018 . Presented PebblesDB at Microsoft Research, Redmond. Older Talks Awards Best Paper Award at ATC 2018 Best Paper Award at FAST 2018 NSF CAREER Award 2018 Best Poster Award at ApSys 2017 Best Paper Award at FAST 2017 ACM SIGOPS Dennis M. Ritchie Dissertation Award 2016 Microsoft Research Graduate Fellowship 2014 University of Wisconsin-Madison Alumni Scholarship 2009 Awards won by members of research group Jayashree Mohan: Microsoft Research PhD Fellowship 2019 Ashlie Martinez: CRA Best Undergraduate Researcher 2018 Ashlie Martinez: UT Austin Dean's Honored Graduate 2018 Ashlie Martinez: UT Austin Aspire Research Excellence Award 2018 Work in Progress Analyzing IO Amplification in Linux File Systems Jayashree Mohan , Rohan Kadekodi, Vijay Chidambaram Poster at ApSys 17 ArXiV Preprint Best Poster Award Recent Publications ( All ) Finding Crash-Consistency Bugs with Bounded Black-Box Crash Testing Jayashree Mohan , Ashlie Martinez, Soujanya Ponnapalli , Pandian Raju , Vijay Chidambaram OSDI 18 PDF Bibtex Slides Extended Version (arXiv) Blog post Star Fork mLSM: Making Authenticated Storage Faster in Ethereum Pandian Raju , Soujanya Ponnapalli , Evan Kaminsky, Gilad Oved, Zachary Keener, Vijay Chidambaram, Ittai Abraham HotStorage 18 PDF Bibtex Slides TxFS: Leveraging File-System Crash Consistency to Provide ACID Transactions Yige Hu , Zhiting Zhu , Ian Neal , Youngjin Kwon , Tianyu Cheng , Vijay Chidambaram, Emmett Witchel ATC 18 PDF Bibtex Slides Star Fork Best Paper Award vFiber: Virtualizing Unused Optical Fibers (Extended Abstract) Matt Hall , Vijay Chidambaram, Ramakrishnan Durairajan Poster at NSDI 18 Protocol-Aware Recovery for Consensus-Based Storage Ramnatthan Alagappan , Aishwarya Ganesan , Eric Lee , Aws Albarghouthi , Vijay Chidambaram, Andrea C. Arpaci-Dusseau , Remzi H. Arpaci-Dusseau FAST 2018 PDF Bibtex Slides Code Best Paper Award Press : Morning Paper Full List of Publications Google Scholar diff --git a/src/data/compiled_bios/3987.txt b/src/data/compiled_bios/3987.txt new file mode 100644 index 0000000000..61bc7a3256 --- /dev/null +++ b/src/data/compiled_bios/3987.txt @@ -0,0 +1 @@ +Alan Cline Research Interests: Clines research interests include Numerical Analysis, Scientific Computing, and Mathematical Software. :UTCS Research Areas: Scientific Computing:Awards and Honors: Election to the Academy of Distinguished Teachers - 2005 Jean Holloway Award for Excellence in Teaching - 2009 University of Texas Regents Outstanding Teachers Award - 2010 :Books: FITPACK--A Software Package for Curve and Surface Fitting Employing Splines Under Tension, Pleasant Valley Software, Austin, 1984. :5 Most Important Books Currently in Print: FITPACK--A Software Package for Curve and Surface Fitting Employing Splines Under Tension, Pleasant Valley Software, Austin, 1984. :Professional Activities: Member of Editorial Board, SIAM Journal on Scientific and Statistical Computing, 1984 - 1992. Associate Editor, ACM Transactions on Mathematical Software, 1975 - 1976. Algorithms Editor, Communications of the Association for Computing Machinery, 1973 - 1975. Southern Regional Director, Computer Professionals for Social Responsibility, 1987 - 1989. Director, ACM Special Interest Group on Numerical Mathematics, 1981 - 1984. : diff --git a/src/data/compiled_bios/3988.txt b/src/data/compiled_bios/3988.txt new file mode 100644 index 0000000000..33e554af13 --- /dev/null +++ b/src/data/compiled_bios/3988.txt @@ -0,0 +1 @@ + Home CS361 CS329E Stephany Coffman-Wolph Office Location and Office Hours: GCD 6.314 Office Hours: MF: noon-1 pm, 2-3 pm, 4-4:30 pm, W: 11-noon, 2-3 pm, 4-4:30 pm Last Updated: 8/31/2017 Copyright Stephany Coffman-Wolph | The University of Texas at Austin | Department of Computer Science | GDC 6.314 | Austin, Texas diff --git a/src/data/compiled_bios/3989.txt b/src/data/compiled_bios/3989.txt new file mode 100644 index 0000000000..d0b5362732 --- /dev/null +++ b/src/data/compiled_bios/3989.txt @@ -0,0 +1 @@ + William R. Cook Associate Professor, Department of Computer Science , UT Austin Contact: email blog Twitter Calendar Office: GDC 5.824 Publications: List ACM DBLP Google Scholor Microsoft Academic Researchr Programming languages, modeling languages, domain-specific languages, strategic programming, interfacing programming languages and databases, distributed computing and web services, software engineering, type theory, mixins, object-oriented programming, web-based information systems. Current Activities Dahl-Nygaard Senior Prize (talk) Anatomy of Programming Languages Undergraduate Programming Languages (CS345) Graduate Programming Languages (CS386L) Research Projects and Talks Ens : A self-describing DSL workbench Slides from a talk at Microsoft Research in Summer 2012 Slides from a talk at Viewpoints Research in Fall 2011 Keynote at PLATEAU Workshop, 2012 Batches : a new approach to RPC, database access (SQL clients), and web services Recording of talk at the 2012 JVM Summit Talk given as a Microsoft Research seminar in Fall 2011 Orc : a language for structured concurrency and internet programming Hybrid Partial Evaluation : a practical approach to partial evaluation in object-oriented languages Slides from a talk on partial evaluation Summary 2011 A tutorial on partial evaluation Advanced Modularity Data Abstraction Revisited Algorithm Synthesis Recent Papers Verifying Equivalence of Database-Driven Applications Wang, Yuepeng and Dillig, Isil and Lahiri, Shuvendu and Cook, William ACM SIGPLAN Notices - Proceedings of the 2018 POPL Conference, 2018 The Design and Implementation of Object Grammars Tijs van der Storm, William R. Cook and Alex Loh Science of Computer Programming, Volume 96, Part 4, 15 December 2014, Pages 460487. Feature-Oriented Programming with Object Algebras Bruno C.d.S. Oliveira, Tijs van der Storm, Alex Loh and William R. Cook Accepted to ECOOP 2013 MRI: Modular reasoning about interference in incremental programming. (PDF) Bruno C.d.S. Oliveira, Tom Schrijvers and William R. Cook Journal of Functional Programming, vol. 22 (2012), pp. 797-852 doi:10.1017/S0956796812000354 Meta-Theory la Carte Benjamin Delaware, Bruno C. d. S. Oliveira, Tom Schrijvers POPL 2013 . Object Grammars: Compositional & Bidirectional Mapping Between Text and Graphs (Ens Papers 2 of 6) Tijs van der Storm, William R. Cook, Alex Loh International Conference on Software Language Engineering (SLE) , 2012. Managed Data: Modular Strategies for Data Abstraction (Ens Papers 1 of 6) Alex Loh, Tijs van der Storm, and William R. Cook Onward! 2012 . Theory and Techniques for Synthesizing Space-Efficient Breadth-First Search Algorithms Srinivas Nedunuri, Douglas R. Smith, William R. Cook Formal Methods (FM), 2012 Theory and Techniques for Synthesizing a Family of Graph Algorithms Srinivas Nedunuri, William R. Cook and Douglas R. Smith 1st Workshop on Synthesis (SYNT), 2012 Functional Programming with Structured Graphs Bruno C. d. S. Oliveira and William R. Cook International Conference on Functional Programming (ICFP), 2012. Extensibility for the Masses: Practical Extensibility with Object Algebras Bruno C. d. S. Oliveira and William R. Cook European Conference on Object-Oriented Programming (ECOOP), 2012 (Best Paper) Remote Batch Invocation for SQL Databases Ben Wiedermann and William R. Cook The 13th International Symposium on Database Programming Languages (DBPL), 2011. Hybrid Partial Evaluation Amin Shali and William R. Cook OOPSLA 2011 (Best Student Paper) Cost-Based Learning for Planning Srinivas Nedunuri, William R. Cook, and Douglas R. Smith 3rd workshop on Learning and Planning (PAL) at ICAPS 2011 Theorem Proving for Product Lines Benjamin Delaware, William R. Cook, and Don Batory OOPSLA 2011 Organizations IFIP WG 2.3 on Programming Methodology IFIP WG 2.11 on Program Generation IFIP WG 2.16 on Language Design Details Teaching Publications Students Talks Service Awards Personal Bio Contact diff --git a/src/data/compiled_bios/399.txt b/src/data/compiled_bios/399.txt new file mode 100644 index 0000000000..1c41ec8e68 --- /dev/null +++ b/src/data/compiled_bios/399.txt @@ -0,0 +1 @@ +Name: Smith, Klyne:: Position: Senior Lecturer:: Degrees: Ph.D., Engineering in Software Engineering, Southern Methodist University, Dallas, TX; M.S., Management Information Systems, George Washington University, Washington, D.C.; B.S., Computer Science and Mathematics,Xavier University of Louisiana, New Orleans,LA; Research Interests: Software Engineering Life Cycle; Project Management; Requirements; Major Honors and Awards: Regional Award Alcatel-Lucent APAC Delivery; IBM Gold Medal Olympic Games; Notable Service: Board of Directors President, McKinney YMCA; Board of Directors Member, Kappa Alpha Psi Guide Right Foundation; Board of Directors Member, Education Unbound; diff --git a/src/data/compiled_bios/3990.txt b/src/data/compiled_bios/3990.txt new file mode 100644 index 0000000000..fcf8fe13d7 --- /dev/null +++ b/src/data/compiled_bios/3990.txt @@ -0,0 +1 @@ + Home Bio Teaching Publications Talks Software Students Miscellaneous Inderjit S. Dhillon's Index Contact Information Office: GDC 4.704 Phone: +1 512-471-9725 Dept: +1 512-471-7316 FAX: +1 512-471-8885 Email: inderjit@cs.utexas.edu Mailing Address DepartmentofComputerScience TheUniversityofTexasatAustin 2317Speedway,Suite2.302,StopD9500 Austin,TX78712-1757 Inderjit S. Dhillon Gottesman Family Centennial Professor Director, Center for Big Data Analytics Department of Computer Science University of Texas at Austin Ph.D in Computer Science (1997) University of California, Berkeley Selected Awards ACM Fellow IEEE Fellow SIAM Fellow AAAS Fellow SIAM Linear Algebra Prize Research Interests Machine Learning, Data Mining, Numerical Linear Algebra, Numerical Optimization, Network Analysis, Bioinformatics My main research interests are in machine learning, large-scale data analysis and bioinformatics. My emphasis is on developing novel algorithms that respect the underlying problem structure and are scalable to massive data sets. Some of my current research topics: high-dimensional data analysis, divide-and-conquer methods for big data analytics, social network analysis, and predicting gene-disease associations. AAAS Fellow Curriculum Vitae Department of Computer Science University of Texas at Austin diff --git a/src/data/compiled_bios/3991.txt b/src/data/compiled_bios/3991.txt new file mode 100644 index 0000000000..cc92abdc41 --- /dev/null +++ b/src/data/compiled_bios/3991.txt @@ -0,0 +1 @@ + Contact Biography Research Teaching Publications Talks Service Students Alumni Software Awards Personal Il Dillig Pronunciation Guide Associate Professor of Computer Science University of Texas, Austin Contact E-mail: isil@cs.utexas.edu Address: GDC 5.726 2317 Speedway, M/S D9500 The University of Texas Austin, TX 78712-0233 Phone number: 512-471-9794 Group webpage: http://utopia.cs.utexas.edu/ Biographical Sketch I am an associate professor at the computer science department of the University of Texas at Austin where I lead the UToPiA research group . My main research interests are program analysis and verification, program synthesis, and automated logical reasoning. I obtained all my degrees (BS, MS, PhD) at Stanford University . I am a 2015 Sloan Fellow and a recipient of an NSF CAREER award. Research My main research interests are static program analysis/verification, program synthesis, and automated logical reasoning. I am interested in developing tools and novel techniques to make software systems more secure and reliable. In particular, my research focuses on automatically proving the absence of certain classes of errors (e.g., memory safety errors, assertion failures etc.) and security vulnerabilities in software. I am also interested in techniques for automatically synthesizing programs from formal or informal specifications. For more information about our research and the latest news, please check out the UToPiA page ! Teaching CS389L: Automated Logical Reasoning. (Taught every spring since 2015) CS311H: Honors Discrete Mathematics. (Taught every fall since 2014) Publications Relational Program Synthesis. Yuepeng Wang, Xinyu Wang, Isil Dillig. To appear in OOPSLA'18. Verified Three-Way Program Merge. Marcelo Sousa, Isil Dillig, Shuvendu Lahiri. To appear in OOPSLA'18. Singularity: Pattern Fuzzing for Worst Case Complexity. Jiayi Wei, Jia Chen, Yu Feng, Kostas Ferles, Isil Dillig. To appear in FSE'18. Learning Abstractions for Program Synthesis. Xinyu Wang, Greg Anderson, Isil Dillig, Ken McMillan. In CAV'18. Symbolic Reasoning for Automatic Signal Placement. Kostas Ferles, Jacob Van Geffen, Isil Dillig, Yannis Smaragdakis. In PLDI'18. [Extended version] Program Synthesis using Conflict-Driven Learning. Yu Feng, Ruben Martins, Osbert Bastani, Isil Dillig. In PLDI'18. (Distinguished paper award) Automated Migration of Hierarchical Data to Relational Tables using Programming-by-Example. Navid Yaghmazadeh, Xinyu Wang, Isil Dillig. In VLDB'18. Program Synthesis using Abstraction Refinement. Xinyu Wang, Isil Dillig, Rishabh Singh. In POPL'18. Verifying Equivalence of Database-Driven Applications. Yuepeng Wang, Isil Dillig, Shuvendu Lahiri, William Cook. In POPL'18. Precise Detection of Side-Channel Vulnerabilities using Quantitative Cartesian Hoare Logic. Jia Chen, Yu Feng, Isil Dillig. In CCS'17. Static Detection of Asymptotic Side Channel Vulnerabilities in Web Applications. Jia Chen, Oswaldo Olivo, Isil Dillig, Calvin Lin In ASE'17. Synthesis of Data Completion Scripts using Finite Tree Automata . Xinyu Wang, Isil Dillig, Rishabh Singh. In OOPSLA'17. SQLizer: Query Synthesis from Natural Language . Navid Yaghmazadeh, Yuepeng Wang, Isil Dillig, Thomas Dillig. In OOPSLA'17. (Distinguished paper award) Failure-Directed Program Trimming . Kostas Ferles, Valentin Wuestholz, Maria Christakis, Isil Dillig. In FSE'17. Component-based Synthesis of Table Consolidation and Transformation Tasks from Examples. Yu Feng, Ruben Martins, Jacob VanGeffen, Isil Dillig, Swarat Chaudhuri. In PLDI'17. [video] Static Detection of DoS Vulnerabilities in Programs that use Regular Expressions. Valentin Wuestholz, Oswaldo Olivo, Marijn Heule, Isil Dillig. In TACAS'17. [Extended version] (ETAPS'17 best paper award) Automated Synthesis of Semantic Malware Signatures using Maximum Satisfiability. Yu Feng, Osbert Bastani, Ruben Martins, Isil Dillig, Saswat Anand. In NDSS'17. Component-Based Synthesis for Complex APIs. Yu Feng, Ruben Martins, Yuepeng Wang, Isil Dillig, Tom Reps. In POPL'17. [Extended version] Hunter: Type-Directed Code Reuse using Integer Linear Programming. Yuepeng Wang, Yu Feng, Ruben Martins, Arati Kaushik, Isil Dillig, Steven P. Reiss. In FSE'16. [Long version] Cartesian Hoare Logic for Verifying k-Safety Properties. Marcelo Sousa, Isil Dillig. In PLDI'16. [Extended version] Synthesizing Transformations on Hierarchically Structured Data. Navid Yaghmazadeh, Chris Klinger, Isil Dillig, Swarat Chaudhuri. In PLDI'16. [demo video] Maximal Specification Synthesis. Aws Albarghouthi, Isil Dillig, Arie Gurfinkel. In POPL 2016. [Extended version] Bottom-up Context-Sensitive Pointer Analysis for Java. Yu Feng, Xinyu Wang, Isil Dillig, Thomas Dillig. In APLAS 2015. Detecting and Exploiting Second Order Denial of Service Vulnerabilities in Web Applications Oswaldo Olivo, Isil Dillig, Calvin Lin. In CCS 2015. EXPLORER : Query- and Demand-Driven Exploration of Interprocedural Control Flow Properties. Yu Feng, Xinyu Wang, Isil Dillig, Calvin Lin. In OOPSLA 2015. Synthesizing Data Structure Transformations from Input-Output Examples. John Feser, Swarat Chaudhuri, Isil Dillig. PLDI 2015. Static Detection of Asymptotic Performance Bugs in Collection Traversals. Oswaldo Olivo, Isil Dillig, Calvin Lin. PLDI 2015. Apposcopy: Semantics-Based Detection of Android Malware Through Static Analysis . Yu Feng, Saswat Anand, Isil Dillig, Alex Aiken. FSE 2014. Optimal Guard Synthesis for Memory Safety . Thomas Dillig, Isil Dillig, Swarat Chaudhuri. CAV 2014. [Extended version] [slides] Consolidation of Queries with User-Defined Functions . Marcelo Sousa, Isil Dillig, Dimitrios Vytionitis, Thomas Dillig, Christos Gkantsidis. PLDI 2014. Automated Inference of Library Specifications for Source-Sink Property Verification . Haiyan Zhu, Thomas Dillig, Isil Dillig. APLAS 2013. Inductive Invariant Generation via Abductive Inference . Isil Dillig, Thomas Dillig, Boyang Li, Ken McMillan. OOPSLA 2013. EXPLAIN: A Tool for Performing Abductive Inference . Isil Dillig, Thomas Dillig. CAV 2013. [slides] Synthesis of Circular Compositional Program Proofs via Abduction . Boyang Li, Isil Dillig, Thomas Dillig, Ken McMillan, Mooly Sagiv. In TACAS 2013. Journal version in STTT'15. [slides] (Invited for journal special issue) Minimum Satisfying Assignments for SMT. Isil Dillig, Thomas Dillig, Ken McMillan, Alex Aiken. Computer Aided Verification (CAV) 2012. [slides] Automated Error Diagnosis Using Abductive Inference. Isil Dillig, Thomas Dillig, Alex Aiken. Programming Languages Design and Implementation (PLDI) 2012. [Extended version] [slides] [poster] Precise and Automatic Verification of Container Manipulating Programs PhD Thesis, Stanford University Computer Science Department, 2011. Simplifying Loop Invariant Generation Using Splitter Predicates Rahul Sharma, Isil Dillig, Thomas Dillig, Alex Aiken. Proceedings of the International Conference on Computer Aided Verification (CAV) 2011. [Full version] [slides] Cuts from Proofs: A Complete and Practical Technique for Solving Linear Inequalities over Integers Isil Dillig, Thomas Dillig, Alex Aiken. Formal Methods in System Design (FMSD) CAV 2009 special issue. Precise and Compact Modular Procedure Summaries for Heap Manipulating Programs Isil Dillig, Thomas Dillig, Alex Aiken, Mooly Sagiv. Proceedings of the Conference on Programming Language Design and Implementation (PLDI) 2011. [slides] Precise Reasoning for Programs Using Containers Isil Dillig, Thomas Dillig, Alex Aiken. Principles of Programming Languages (POPL) 2011. [slides] Symbolic Heap Abstraction with Demand-Driven Axiomatization of Memory Invariants Isil Dillig, Thomas Dillig, Alex Aiken. Object-Oriented Programming, Systems, Languages & Applications (OOPSLA) 2010. [slides] Small Formulas for Large Programs: On-line Constraint Simplification in Scalable Static Analysis Isil Dillig, Thomas Dillig, Alex Aiken. Static Analysis Symposium (SAS) 2010. Perpignan, France. [slides] Reasoning About the Unknown in Static Analysis Isil Dillig, Thomas Dillig, Alex Aiken. Research highlight, Communications of the ACM (CACM), August 2010. Fluid Updates: Beyond Strong vs. Weak Updates Isil Dillig, Thomas Dillig, Alex Aiken. Proceedings of the European Symposium on Programming (ESOP) 2010. Paphos, Cyprus. (Conference version without appendix) Slides: [odp version] [pdf version] Cuts from Proofs: A Complete and Practical Technique for Solving Linear Inequalities over Integers Isil Dillig, Thomas Dillig, Alex Aiken. Proceedings of Computer Aided Verification (CAV) 2009. Grenoble, France. [slides] (Invited for journal special issue) SAIL: Static Analysis Intermediate Language with a Two-Level Representation Isil Dillig, Thomas Dillig, Alex Aiken. Technical Report, Stanford University 2009. [Project Website] Sound, Complete, and Scalable Path-Sensitive Analysis Isil Dillig, Thomas Dillig, Alex Aiken. Proceedings of the Conference on Programming Language Design and Implementation (PLDI), June 2008. Tucson, AZ. [slides] (CACM research highlight) The CLOSER: Automating Resource Management in Java Isil Dillig, Thomas Dillig, Eran Yahav, Satish Chandra. Proceedings of the International Symposium on Memory Management (ISMM), June 2008. Tucson, AZ. [slides] Static Error Detection Using Semantic Inconsistency Inference Isil Dillig, Thomas Dillig, Alex Aiken. Proceedings of the Conference on Programming Language Design and Implementation (PLDI), pages 435-446, June 2007. San Diego, CA. [slides] An Overview of the Saturn Project A. Aiken, S. Bugrara, I. Dillig, T. Dillig, P. Hawkins and B. Hackett. Proceedings of the Workshop on Program Analysis for Software Tools and Engineering (PASTE), pages 43-48, June 2007. San Diego, CA. The Saturn Program Analysis System. A. Aiken, S. Bugrara, I. Dillig, T. Dillig, B. Hackett, and P. Hawkins. Stanford University Computer Science Technical Report, December 2006. Current Students and Post-docs Xinyu Wang (PhD student) Yuepeng Wang (PhD student) Kostas Ferles (PhD student) Greg Anderson (PhD student) Jiayi Wei (PhD student) Jon Stephens (PhD student) Rong Pan (PhD student) Jocelyn Chen (PhD student) Shankara Pailoor (PhD student) Rushi Shah (undergraduate student) James Dong (undergraduate student) Alumni Yu Feng , PhD student (2014-2018), now Assistant Professor at UC Santa Barbara. [PhD thesis] Navid Yaghmazadeh , PhD student (2015-2018), now at Oracle. [PhD thesis] Oswaldo Olivo, PhD student (2014-2017), co-advised with Calvin Lin, now at Microsoft. [PhD thesis] Jia Chen PhD student (2016-2019), now at Facebook Valentin Wuestholz Post-doctoral researcher (2015-2016), now at ETH Zurich Ruben Martins Post-doctoral researcher (2015-2017), now Research Scientist at CMU Arati Kaushik, MS student, now at Oracle [MS thesis] Chris Klinger, BS student, now at Max Planck Institute [BS thesis] Jacob Van Geffen, BS student, now PhD student at University of Washington [BS thesis] Service Chair or co-chair: CAV'19, VMCAI'18, PLMW at POPL'16, PLDI'15 SRC, PLDI'14 SRC, OOPSLA'14 SRC, PLDI'13 SRC, OOPSLA'13 SRC Program Committees: CAV'18, PLDI'18, POPL'18, CAV'17, SNAPL'17, OOPSLA'16, PLDI'16, CAV'15, ESOP'15, HVC'14, ECOOP'14, ESOP'14, SAS'13, POPL'13, OOPSLA'12, PLDI'12 SRC External Program Committees: PLDI'19, OOPSLA'19 External Review Committees: POPL'16, OOPSLA'13 Talks "Abductive Inference and Its Applications in Program Analysis, Verification, and Synthesis" . Tutorial at FMCAD'16. "A Gentle Introduction to Program Analysis" . Invited talk at the Programming Languages Mentoring Workshop co-located with POPL 2014, San Diego, CA. "Logical Abduction and Its Applications in Program Verification" . Invited talk at the Interpolation Workshop co-located with CAV 2013, St. Petersburg, Russia. "EXPLAIN: A Tool for Performing Abductive Inference" . CAV 2013, St. Petersburg, Russia. "Minimum Satisfying Assignments for SMT" . CAV 2012, Berkeley, CA. "Automated Error Diagnosis Using Abductive Inference" . PLDI 2012, Beijing, China. "Precise Reasoning for Programs Using Containers" . POPL 2011, Austin, TX, USA. "Symbolic Heap Abstraction with Demand-Driven Axiomatization of Memory Invariants" . OOPSLA 2010, Reno, NV, USA. "Small Formulas for Large Programs: Constraint Simplification for Scalable Static Analysis" . Static Analysis Symposium (SAS) 2010, Perpignan, France. "Fluid Updates: Beyond Strong vs. Weak Updates" . European Symposium on Programming (ESOP) 2010, Paphos, Cyprus. "Cuts from Proofs: A Complete and Practical Technique for Solving Linear Inequalities over Integers" . International Conference on Computer-Aided Verification (CAV) 2009, Grenoble, France. "Constraint-Based Analysis in the Presence of Uncertainty and Imprecision" . Invited talk at Microsoft Research, Redmond, February 2009. "Sound, Complete, and Scalable Path-Sensitive Analysis" . Programming Language Design and Implementation (PLDI) 2008, Tucson, AZ. "The CLOSER: Automating Resource Management in Java" . International Symposium on Memory Management (ISMM) 2008, Tucson, AZ. "Static Error Detection Using Semantic Inconsistency Inference" . Programming Language Design and Implementation (PLDI) 2007, San Diego, CA. Open Source Software SyPet Synthesizer [source code] Apposcopy malware detector [source code] Mistral SMT solver available under GPL license from here . Compass program analysis system. [Download here ] SAIL program analysis front-end for C and C++. Available under BSD license from here . SATURN program analysis system. Available under BSD license from here . Awards PLDI distinguished paper award, 2018. OOPSLA distinguished paper award, 2017. ETAPS best paper award, 2017. Selected as Sloan Fellow, 2015 NSF CAREER Award, 2015. Distinguished Reviewer Award, OOPSLA 2012 Stanford Graduate Fellowship, 2008-2010. Forbes School of Engineering Fellowship, 2006-2007. Wegbreit Award for the best undergraduate honors thesis in computer science. Stanford University, 2006. Firestone Medal for excellence in undergraduate research. Stanford University, 2006. Frederick Emmons Terman Engineering Scholatic Award for outstanding achievement in engineering. Stanford University, 2006. Mary Mills Patrick Award for highest GPA at Robert College, Istanbul, 2002. Dora Aksoy Award for Excellence in Mathematics. Robert College, Istanbul, 2002. Personal I am originally from Istanbul, Turkey. Outside of work, I enjoy hiking, scuba diving, and photography. I post my pictures here . How To Pronounce My Name My first name is pronounced as "Ishil" rather than "Isil". diff --git a/src/data/compiled_bios/3992.txt b/src/data/compiled_bios/3992.txt new file mode 100644 index 0000000000..1de9ce01ae --- /dev/null +++ b/src/data/compiled_bios/3992.txt @@ -0,0 +1 @@ + Glenn P. Downing ude.saxetu.sc@gninwod 2018-19 GitLab Google Scholar Medium Blog Rate My Professors Stack Overflow Twitter I'm an Assistant Professor of Instruction in the Department of Computer Science . I did my undergraduate work at Purdue and Illinois and my graduate work at MIT , Stanford , and Texas . I've worked at the Jet Propulsion Laboratory (JPL) , the Los Alamos National Laboratory , and the Microelectronics and Computer Technology Corporation (MCC) . Both of my parents were born and raised in Granada, Nicaragua . I was born in New York City and grew up in Miami . Office Hours Term Days Time Place Spring 2019 MF 12-12:45pm GDC 6.308 Teaching Term Unique Class Days Time Place Spring 2019 51045 CS373: Software Engineering MWF 10-10:50am JGB 2.218 51050 11-11:50am GDC 1.304 51040 CS371p: Object-Oriented Programming 1-1:50pm GDC 1.304 50645 CS104c: Competitive Programming F 2-2:50pm GDC 1.304 Summer 2019 CS371g: Generic Programming MWF 10-11:45am Fall 2019 CS373: Software Engineering MWF 10-10:50am 11-11:50am CS371p: Object-Oriented Programming 1-1:50pm CS104c: Competitive Programming F 2-2:50pm Evaluations Term Class eCIS Fall 2018 CS371p: Object-Oriented Programming 4.7 / 4.5 CS373: Software Engineering 4.8 / 4.5 4.4 / 4.0 Summer 2018 CS373: Software Engineering 4.6 / 4.4 Spring 2018 CS371p: Object-Oriented Programming 4.8 / 4.7 CS373: Software Engineering 4.7 / 4.5 4.7 / 4.3 UT Competitive Programming (UTPC) https://www.cs.utexas.edu/users/utpc/ Year Title Students 2018-19 UT Programming Club Wins ICPC South Central USA Regionals Ethan Arnold Ryan Rice Supawit Chockchowwat 2017-18 UT Competitive Programming Team Wins ACM-ICPC South Central USA Regional Competition UT Competitive Programming Team Goes to ACM-ICPC World Finals Arnav Sastry Daniel Talamas Ethan Arnold 2016-17 UT Programming Teams Sweep Regional Competition UT Competitive Programming Team Competes in ACM-ICPC World Finals Alex Meed Brian Richer Supawit Chockchowwat 2015-16 UTCS Programming Teams Finish Strong at Regional ACM International Collegiate Programming Contest Arnav Sastry Daniel Talamas Jaime Rivera 2014-15 UTCS Programming Team Finishes In a Top Spot at Regional Competition Arnav Sastry Jaime Rivera Josh Slocum Papers & Patents Year Title Co-Authors 2004 Data Sharing in Scientific Simulations Computing in Science and Engineering (CISE) Paul Dubois Teresa Bottom 1998 System and Method for Initializing Variables in an Object-Oriented Program U.S. Patent No. 6,708,181 James Peterson Ron Rockhold 1996 Being Lazy About Global-Object Initialization Journal of Object-Oriented Programming (JOOP) Presentations Year Title 2015-16 Giving Tree 2013-14 Giving Tree Teaching Awards Year Title 2018 Nominated for Regents Outstanding Teaching Awards 2013 College of Natural Sciences Golden Apple Teaching Excellence Award 2006 College of Natural Sciences Foundation Advisory Council Awards 2002 College of Natural Sciences Teaching Excellence Award Copyright Glenn P. Downing, 1995-2019 diff --git a/src/data/compiled_bios/3993.txt b/src/data/compiled_bios/3993.txt new file mode 100644 index 0000000000..a45d16a25e --- /dev/null +++ b/src/data/compiled_bios/3993.txt @@ -0,0 +1 @@ + Greg Durrett gdurrett@cs.utexas.edu Home Publications Research/Group Teaching Software I am an Assistant Professor in the Department of Computer Science at UT Austin . My research covers a range of topics in statistical natural language processing, including coreference resolution, entity linking, document summarization, and syntactic parsing. Solving these problems lets computers access and transform the information in unstructured text in a structured way. To handle the complexities of natural language, my work involves developing new structured machine learning and deep learning approaches to these problems, as well as devising scalable learning and inference techniques to train models on large datasets. See my research page for more information. Prior to joining UT Austin, I received my Ph.D. from UC Berkeley in 2016, where I was advised by Dan Klein and part of the Berkeley NLP Group . Curriculum Vitae Teaching Spring 2019: CS378: Natural Language Processing Fall 2018: CS388: Natural Language Processing Fall 2017: CS395T: Structured Models for NLP Publications Spherical Latent Spaces for Stable Variational Autoencoders Jiacheng Xu and Greg Durrett. EMNLP 2018 . pdf Effective Use of Context in Noisy Entity Linking David Mueller and Greg Durrett. EMNLP 2018 (short) . pdf Picking Apart Story Salads Su Wang, Eric Holgate, Greg Durrett, and Katrin Erk. EMNLP 2018 . pdf Modeling Semantic Plausibility by Injecting World Knowledge Su Wang, Greg Durrett, and Katrin Erk. NAACL 2018 (short) . pdf Identifying Products in Online Cybercrime Marketplaces: A Dataset for Fine-grained Domain Adaptation Greg Durrett, Jonathan Kummerfeld, Taylor Berg-Kirkpatrick, Rebecca Portnoff, Sadia Afroz, Damon McCoy, Kirill Levchenko, and Vern Paxson. EMNLP 2017 . pdf BibTeX code data Tools for Automated Analysis of Cybercriminal Markets Rebecca Portnoff, Sadia Afroz, Greg Durrett, Jonathan Kummerfeld, Taylor Berg-Kirkpatrick, Damon McCoy, Kirill Levchenko, and Vern Paxson. WWW 2017 . pdf BibTeX code data Learning-Based Single-Document Summarization with Compression and Anaphoricity Constraints Greg Durrett, Taylor Berg-Kirkpatrick, and Dan Klein. ACL 2016 . pdf BibTeX system release poster Capturing Semantic Similarity for Entity Linking with Convolutional Neural Networks Matthew Francis-Landau, Greg Durrett, and Dan Klein. NAACL 2016 . pdf BibTeX Neural CRF Parsing Greg Durrett and Dan Klein. ACL 2015 . pdf synopsis BibTeX system release slides.key slides.pdf Parsing algorithms like CKY are good at reckoning with discrete syntactic structures and neural networks are good at extracting nonlinear features from inputs. We show that neural networks can be used to score CFG rule productions in a continuous way while we can keep the grammar itself discrete. Disfluency Detection with a Semi-Markov Model and Prosodic Features James Ferguson, Greg Durrett, and Dan Klein. NAACL 2015 . pdf synopsis BibTeX When dealing with spoken language, identifying disfluencies like restarts ("I wentI used to go shopping") is an important prerequisite for figuring out what the speaker intended to say. We show that a semi-Markov conditional random field is well-suited to this task since it can make decisions about entire chunks of the sentence at once, rather than deciding in isolation whether or not each word is disfluent. Features targeting the speaker's prosody (directly in the speech signal) give further performance improvements. A Joint Model for Entity Analysis: Coreference, Typing, and Linking Greg Durrett and Dan Klein. TACL 2014 . pdf synopsis BibTeX system release slides.key slides.pdf Using a graphical modeling framework, we can unify component models for coreference resolution, semantic typing (i.e. named entity recognition), and entity linking to a knowledge base, improving performance on all three tasks by capturing cross-task interactions. Less Grammar, More Features David Hall, Greg Durrett, and Dan Klein. ACL 2014 . pdf errata synopsis BibTeX system release Traditional approaches to syntactic parsing have relied on heavily annotated context-free grammars which maintain a large amount of state during parsing. We show that it is possible to build a high-performance parser with a very simple grammar as long as CFG rule productions are scored in a rich way. Our scoring function inspects the words in the sentence that are dominated by the rule in question; this lets us use a simpler grammar because we're looking at important lexical information directly rather than trying to thread it through CFG states. The paper posted here has updated sentiment analysis results compared to the version in the ACL anthology. In the original version of this paper, we trained and evaluated our system on a slightly different dataset from that of Socher et al. (2013) due to a misunderstanding of their evaluation condition. However, the general conclusions about our system's performance relative to theirs are unchanged. Easy Victories and Uphill Battles in Coreference Resolution Greg Durrett and Dan Klein. EMNLP 2013 . Best Paper Finalist pdf synopsis BibTeX system release slides.key slides.pdf We present a simple model for coreference resolution that primarily exploits surface textual properties to determine if two mentions (like "Barack Obama" and "the president") refer to the same entity. Features in our discriminative model targeting these surface properties (including, for example, the first and last words in an entity reference) manage to capture a wide range of linguistic phenomena important for coreference, such as pronoun agreement and discourse structure. Crucially, our surface features can also pick up on other "extra-linguistic" patterns in the data. As a result, our model outperforms previous work that only uses hand-coded heuristics to target linguistic properties of interest. Decentralized Entity-Level Modeling for Coreference Resolution Greg Durrett, David Hall, and Dan Klein. ACL 2013 . pdf synopsis BibTeX slides.key slides.pdf We present a coreference resolution model that can efficiently represent and infer semantic properties associated with entities. During inference, we propagate semantic information along coreference arcs in a probabilistic way, allowing us to discern that "Clinton" is female if that mention's antecedent is "Hillary Clinton." Unsupervised Transcription of Historical Documents Taylor Berg-Kirkpatrick, Greg Durrett, and Dan Klein. ACL 2013 . pdf synopsis BibTeX system release We present a system for optical character recognition on historical documents produced by printing presses. For each document, we learn (with no supervision) the properties of that document including the specific font used and the darkness with which characters were printed, leading to greater recognition accuracy. Our system dramatically outperforms commercial OCR tools on historical documents, making around half as many errors at the word level. Supervised Learning of Complete Morphological Paradigms Greg Durrett and John DeNero. NAACL 2013 . pdf errata synopsis BibTeX dataset code slides.key slides.pdf We propose a model that can learn how to inflect words (e.g. conjugate verbs, decline nouns) based on labeled examples from Wiktionary. We extract rules that describe how part of a word like the prefix or suffix changes for each possible setting of morphological attributes (person, singular vs. plural, etc.), then learn how to predict which change rules apply to words we've never seen before. The paper posted here differs slightly from the one in the ACL anthology. After submitting the camera-ready copy, we discovered that our Finnish nouns dataset also contained adjectives, due to incorrect assumptions we made when scraping Wiktionary. The paper and accompanying dataset are updated to reflect that our evaluation condition is over both Finnish nouns and adjectives simultaneously. Beyond this modification, the results and their interpretation are unchanged. Syntactic Transfer Using a Bilingual Lexicon Greg Durrett, Adam Pauls, and Dan Klein. EMNLP 2012 . pdf synopsis BibTeX slides.pdf We collect information about the syntactic behavior of English words using a large corpus, then show that this information can be ported to other languages by translating the words using a bilingual dictionary. Having this information helps improve performance of a dependency parser for resource-poor languages where large labeled treebanks are not be available. An Empirical Investigation of Discounting in Cross-Domain Language Models Greg Durrett and Dan Klein. ACL 2011 (short) . pdf synopsis BibTeX slides.pdf We modify a standard technique for estimating n-gram language models to give better performance when those language models are applied to text from other domains. We find this is useful even for domains that only differ very slightly. Show thesis Identifying and Resolving Entities in Text Greg Durrett. Ph.D. Thesis, 2016 pdf Show undergrad research Computational Complexity Analysis of Simple Genetic Programming On Two Problems Modeling Isolated Program Semantics Greg Durrett, Frank Neumann, and Una-May O'Reilly. Foundations of Genetic Algorithms 2011 . pdf arXiv BibTeX A Genetic Algorithm to Minimize Chromatic Entropy Greg Durrett, Muriel Mdard, and Una-May O'Reilly. EvoCOP 2010 pdf SpringerLink BibTeX diff --git a/src/data/compiled_bios/3994.txt b/src/data/compiled_bios/3994.txt new file mode 100644 index 0000000000..5ae9bd6e95 --- /dev/null +++ b/src/data/compiled_bios/3994.txt @@ -0,0 +1 @@ + E. Allen Emerson Regents Chair and Professor Emeritus Department of Computer Science Gates-Dell Complex 3.720 The University of Texas at Austin Austin, TX 78712 USA Phone: 512-471-9537 (office) 512-471-7316 (secretary) 512-471-8885 (fax) Email: emerson at cs.utexas.edu Brief Biography E. Allen Emerson has a longstanding interest in formal methods for establishing program correctness. This was inspired in part by reading in the mid-1970's a CACM paper by Tony Hoare "Proof of Program: Find". Also inspirational was a talk by Zohar Manna on fixpoints and the Tarski-Knaster Theorem given in 1975 at the University of Texas. Emerson is co-inventor and co-developer of model checking , an algorithmic method of verifying nominally finite-state concurrent programs. The method was proposed in this paper [CE81] . authored with Ed Clarke in 1981, a paper widely recognized as seminal for founding today's broad field of model checking and establishing its basic principles. These ongoing finite state programs correspond to the synchronization skeletons of many concurrent, distributed, or reactive programs comprised of multiple processes that must synchronize or coordinate their behavior. Correct behavior is described using a temporal logic, such as CTL (Computation Tree Logic) permitting specification of behavior along all futures versus some futures. In the past quarter century model checking has become a very popular and successful approach to formal verification. His other contributions include new and improved model checking algorithms, abstractions and reductions to simplify the complexity of model checking, decision procedures, and algorithmic methods of program synthesis. Additional interests include model checking symmetric and nearly symmetric systems, verification of parameterized systems, and reasoning about data structures. Emerson is a recipient of the ACM Turing Award , as well as the ACM Kanellakis Prize , the CMU Newell Medal , and the IEEE LI.CS'06 Test-of-Time Award . He serves on the editorial boards of leading formal methods journals as well as conference program committees. He is an Information Sciences Institute Highly Cited Researcher. He received his B.S. degree from the University of Texas at Austin in Mathematics and a Ph.D. in Applied Mathematics from Harvard University. New and Notable 2007 ACM A.M. Turing Award Publications Research Papers Archive (under construction) DBLP Books, Chapters, Expository, and Invited Works Other papers Courses CS340D (a undergraduate course in Debugging and Verification of Programs) CS388S (a graduate breadth course in Formal Verification and Semantics) link CS388F (a graduate breadth course in Automata and Formal Language Theory) CS395T (a graduate seminar in Model Checking and Automated Formal Methods) CS353 (an undergraduate course in the Theory of Computing) Students Current and Recent Ph.D. Students Jyotirmoy Deshmukh Roopsha Samanta Thomas Wahl Subramanian Iyer Vineet Kahlon Prior Ph.D. Students diff --git a/src/data/compiled_bios/3995.txt b/src/data/compiled_bios/3995.txt new file mode 100644 index 0000000000..235f64d263 --- /dev/null +++ b/src/data/compiled_bios/3995.txt @@ -0,0 +1 @@ + Fares Fraij Lecturer Department of Computer Science The University of Texas at Austin Austin , Texas Office: GDC 4.310 Email: fares@cs.utexas.edu About me I am a lecturer in the Department of Computer Science at the University of Texas at Austin (UTCS). I received my PhD degree from the University of Texas at El Paso in 2005. My advisors were Steve Roach and J Strother Moore (from UTCS). Before joining UTCS, I worked as an Assistant/Associate Professor of Computer Science at Al-Hussein Bin Talal University in Jordan between 2005 and 2011 and a Visiting Associate Professor at Taif University in Saudi Arabia between 2011 and 2015. In addition to teaching, I have served in leading administrative positions including the Dean of the College of Information Technology and the Director of the Information Technology Center. Teaching Current courses (Spring 2019) CS 311 : Discrete Math for Computer Science CS 329E: Elements of Software Engineering Upcoming courses Summer 2019 : CS 329E : Elements of Software Engineering Fall 2019 : CS 331 : Algorithms and Complexity CS 330E : Elements of Software Engineering I CS 331E : Elements of Software Engineering II Past courses CS 331 : Algorithms and Complexity (Fall 2015, Spring 2016, Fall 2016, Fall 2017, Spring 2018, Fall 2018) CS 373 : Software Engineering (Fall 2016, Spring 2016) CS 311 : Discrete Math for Computer Science (Fall 2018) CS 329E : Elements of Software Engineering (Spring 2016, Fall 2017, Fall 2018) Research Mechanical Theorem Proving, Computer-Aided Instruction, and Visual-Assisted Pedagogy. List of publications Miscellany Short CV diff --git a/src/data/compiled_bios/3996.txt b/src/data/compiled_bios/3996.txt new file mode 100644 index 0000000000..5b22add0b4 --- /dev/null +++ b/src/data/compiled_bios/3996.txt @@ -0,0 +1 @@ + Donald S. Fussell Trammell Crow Regents' Professor Department of Computer Sciences Director Laboratory for Real-time Graphics and Parallel Systems Member Computer Engineering Research Center Institute for Computational Engineering and Sciences Department of Electrical and Computer Engineering The University of Texas at Austin Austin, TX 78712 Phone: (512) 471-9719 Fax: (512) 471-8885 e-mail: fussell "at" cs.utexas.edu Information: http://www.cs.utexas.edu/users/fussell B.A. in Mathematics and Social Science (1973) Dartmouth College M.S. and Ph.D. in Computer Science (1977, 1980) University of Texas at Dallas Areas of Interest Computer Graphics Computer Architecture Networking Digital Arts Current Courses CS354 - Computer Graphics Undergraduate Course - Fall 2015 Recent Courses CS378 - Computer Game Technology Undergraduate Course - Spring 2013 CS384G - Computer Graphics Graduate Course - Fall 2012 CS378 - Computer Game Technology Undergraduate Course - Spring 2012 CS384G - Computer Graphics Graduate Course - Fall 2011 CS429H - Computer Organization and Architecture Undergraduate Course - Spring 2011 CS384G - Computer Graphics Graduate Course - Fall 2010 CS384G - Computer Graphics Graduate Course - Spring 2010 CS310H - Computer Organization and Programming - Honors Undergraduate Course - Spring 2010 CS352H - Computer Systems Architecture - Honors Undergraduate Course - Fall 2009 CS310 - Computer Organization and Programming Undergraduate Course - Spring 2009 Curriculum Vitae Current and Former Students diff --git a/src/data/compiled_bios/3997.txt b/src/data/compiled_bios/3997.txt new file mode 100644 index 0000000000..abd4229e37 --- /dev/null +++ b/src/data/compiled_bios/3997.txt @@ -0,0 +1 @@ + Anna Gl Professor Ph.D. in Computer Science: University of Chicago, 1995 (Advisor: Jnos Simon) Contact Information Email: panni at cs dot utexas dot edu Phone: (512) 471-9539 Fax: (512) 471-8885 Office: GDC 4.420 Postal: Department of Computer Science University of Texas at Austin 2317 Speedway, Stop D9500 Austin, TX 78712 Research Interests Computational complexity, communication complexity, coding theory, algorithms, and combinatorics. Publications Algorithms and computational theory group Former Ph.D. Students Jeff Ford, ``Lower Bound Methods for Multiparty Communication Complexity'', Ph. D. May 2006. Vladimir Trifonov, ``Techniques for Analyzing the Computational Power of Constant-Depth Circuits and Space-Bounded Computation'', Ph. D. August 2006. Andrew Mills, "Lower Bounds and Correctness Results for Locally Decodable Codes", Ph. D. August 2011. Keith Jing-Tang Jang, ``The Size and Depth of Boolean Circuits'', Ph. D. August 2013. diff --git a/src/data/compiled_bios/3998.txt b/src/data/compiled_bios/3998.txt new file mode 100644 index 0000000000..f7373b523a --- /dev/null +++ b/src/data/compiled_bios/3998.txt @@ -0,0 +1 @@ + Kristen Grauman Professor Department of Computer Science University of Texas at Austin CV Publications Code Data Short Bio Press I am a Professor in the Department of Computer Science at the University of Texas at Austin, where I lead the UT-Austin Computer Vision Group. I was elected to the Academy of Distinguished Teachers at UT Austin in 2017. I received my Ph.D. from MIT in the Computer Science and Artificial Intelligence Laboratory in 2006. ML@UT : UT Austin has broad and deep expertise in machine learning and artificial intelligence, spanned by groups across several departments on campus. Slides from recent talks MIT-IBM AI seminar, Cambridge, August 2018 "See, Hear, Move: Towards Embodied Visual Perception" [ ppt ] [ pdf ] NVIDIA Research, Santa Clara, June 2018 "Learning Where to Look and Listen: Egocentric and 360 Computer Vision" [ pdf ] CVPR Workshop on Understanding Subjective Attributes of Data , Salt Lake City, June 2018 "Visual Styles in Fashion Photos" [ pdf ] CVPR Workshop on Language and Vision , Salt Lake City, June 2018 "The Language of Visual Attributes" [ ppt ] [ pdf ] CVPR Workshop on Deep Learning and Robotic Vision , Salt Lake City, June 2018 "Towards Embodied Visual Learning" [ pdf ] ICLR, International Conference on Learning Representations , Keynote, May 2018 "Visual Learning with Unlabeled Video and Look-Around Policies" [ pdf ] Weinberg Symposium on the Shared Frontiers of Artificial Intelligence and Cognitive Science , Univ. of Michigan, April 2018 "Embodied Visual Learning and Recognition" [ pdf ] Amazon Computer Vision / Fashion Workshop, April 2018 "Learning Visual Styles" [ ppt ] [ pdf ] AAAI, 31st Conference on Artificial Intelligence Keynote, Feb 2017 "Learning How to Move and Where to Look from Unlabeled Video" [ pdf ] GroupSight workshop on Human Computation for Image and Video Analysis , HCOMP, Nov 2016. "Active and Interactive Image and Video Segmentation" [ pdf ] SUNw: Scene Understanding Workshop , CVPR, June 2016 "Action and Interaction for Scene Understanding" [ pdf ] Moving Cameras Meet Video Surveillance: From Body-Borne Cameras to Drones , CVPR, June 2016 "Summarizing Long First-Person Videos" [ pdf ] Research My research interests are in computer vision and machine learning. In general, the goal of computer vision is to develop the algorithms and representations that will allow a computer to autonomously analyze visual information. My primary interests are visual recognition and visual search. Recent and ongoing projects in the group consider large-scale image/video retrieval, unsupervised visual discovery, active learning, active recognition, first-person "egocentric" computer vision, interactive machine learning, image and video segmentation, activity recognition, vision and language, and video summarization. Vision and learning reading group page Publications page with links to code, slides, and project pages . Or, sorted [ by year ] [ by topic ]. Code download page Datasets download page Student theses Graduate Students Aron Yu Bo Xiong Yu-Chuan Su Ruohan Gao Kimberly (Wei-Lin) Hsiao Tushar Nagarajan Santhosh Ramakrishnan Graduated Students Sudheendra Vijayanarasimhan Ph.D. (2011), Bert Kay Dissertation Award from the Dept of CS. Now at Google Research. Yong Jae Lee Ph.D. (2012) . Postdoctoral Associate at UC-Berkeley. Now Assistant Professor at UC-Davis. Jeff Donahue , B.S., Turing Scholars Honors Thesis (2011). Ph.D. student at UC-Berkeley. Now at DeepMind. Andy Luong, B.S., Turing Scholars Honors Thesis (2011), Best Undergraduate Thesis Award. Now at Microsoft. Lucy Liang, B.S., Turing Scholars Honors Thesis (2012), Best Undergraduate Thesis Award. Now at Microsoft. Nona Sirakova, B.S., Turing Scholars Honors Thesis (2013). Now a Masters student at University of Washington. Tomas McCandless, B.S. Turing Scholars Honors Thesis (2013). Sunil Bandla , M.S. (2013) . Now at Microsoft. Jaechul Kim Ph.D. (2013). Now at Amazon Research. Sung Ju Hwang Ph.D. (2013). Now Assistant Professor at KAIST. Adriana Kovashka , Ph.D. (2014). Now Assistant Professor at University of Pittsburgh. Chao-Yeh Chen , Ph.D. (2016). Now at Google. Suyog Jain , Ph.D. (2017). Now at CognitiveScale. Josh Kelle, M.S. (2017). Now at Pinterest. Steven Chen , B.S., Turing Scholars Honors Thesis (2017). Now a Masters student at Stanford University. Dinesh Jayaraman , Ph.D. (2017). Now a postdoc at UC-Berkeley. Visitors and Postdocs Devi Parikh Visiting Research Fellow, 2010-2011 . Now Assistant Professor at Georgia Tech Lu Zheng Postdoctoral Research Fellow, 2012-2013 . Now Assistant Professor at City University of Hong Kong Boqing Gong , Visiting PhD student from Prof. Fei Sha's lab at USC, 2012. Now Assistant Professor at University of Central Florida Hao Jiang , Visiting Professor from Boston College, 2015-2016. Antonino Furnari , Visiting PhD student from Prof. Giovanni Maria Farinella's lab at Univ. of Catania, 2016. Ziad Al-Halah , Visiting PhD student from Prof. Stiefelhagen's lab at Karlsruhe Institute of Technology, 2016. Danna Gurari, Postdoctoral Research Fellow, 2015-2017. Now Assistant Professor at UT Austin, School of Information Professional Service Associate Editor-in-Chief: PAMI Program Chair: CVPR 2015 Program Chair: NIPS 2018 Editorial Board: IJCV Area Chair: CVPR 2009, ICCV 2009, ICCV 2011, ECCV 2012, ACCV 2012, NIPS 2012, CVPR 2013, ICCV 2013, ECCV 2014, ICML 2015, ICML 2016, ECCV 2016, ICCV 2017, ECCV 2018, CVPR 2019 Senior Area Chair: NIPS 2017, ICML 2019 Program Committee / Reviewer: CVPR 2006, 2007, 2010, 2011, 2012, 2016; ICCV 2007, 2015; ECCV 2008, 2010; NIPS 2005, 2007, 2008, 2009, 2010 , 2015, AAAI 2011, 2014 , SIGGRAPH 2014, 2017 Teaching CS 376: Computer Vision (Spring 2018) CS 381V: Visual Recognition (Fall 2017) -- a Diversity course for CS PhD students CS 378H: Honors Machine Learning and Vision (Spring 2017) CS 381V: Visual Recognition (Fall 2016) -- a Diversity course for CS PhD students CS 381V: Visual Recognition (Spring 2016) -- a Diversity course for CS PhD students CS 378H: Honors Machine Learning and Vision (Fall 2015) CS 343H: Honors Artificial Intelligence (Spring 2014) Short Course / Tutorial on Attributes at CVPR 2013 CS395T Visual Recognition (Fall 2012) -- a Diversity course for CS PhD students CS 395T Visual Recognition (Fall 2011) -- a Diversity course for CS PhD students CS 376: Computer Vision (Spring 2011) CS 395T: (Special Topics in) Computer Vision : Object Recognition (Spring 2010) CS 378: Computer Vision (Fall 2009) CS 395T: Visual Recognition and Search (Spring 2009) CS 378: Computer Vision (Fall 2008) AAAI 2008 Tutorial on Visual Recognition, co-taught with Bastian Leibe (July 2008) CS 395T: Visual Recognition and Search (Spring 2008) CS 378 / 395T: Computer Vision (Fall 2007) CS 395T: Object Recognition (Spring 2007) Introduction to Computer Science, for the Womens Technology Program (MIT, Summer 2005) Contact Email: grauman, at sign, cs dot utexas dot edu (best way to contact me) Campus office: GDC 4.726 (south building) Mailing address: Department of Computer Science University of Texas at Austin 2317 Speedway D9500 Austin, TX 78712-1757 Campus mail: Mail code D9500 Current Funding Office of Naval Research National Science Foundation Amazon AWS Machine Learning Google Qualcomm IBM DARPA Lifelong Learning Machines Note to prospective students If you are a prospective student interested in computer vision research at UT-Austin, please read about our graduate admissions process. It is not necessary to contact me. Unfortunately, I am not able to respond to emails about applications to our graduate program. If you are applying to the CS department and are interested in my research group, please state this in your statement of purpose . I am not looking for interns or visiting students, with or without funding. diff --git a/src/data/compiled_bios/3999.txt b/src/data/compiled_bios/3999.txt new file mode 100644 index 0000000000..03bc7bff58 --- /dev/null +++ b/src/data/compiled_bios/3999.txt @@ -0,0 +1 @@ + Marijn J.H. Heule Research Scientist at The University of Texas at Austin Short Bio I am a Research Assistant Professor at the University of Texas at Austin and received my PhD at Delft University of Technology in the Netherlands in 2008. My research focuses on solving hard-combinatorial problems in areas such as formal verification, number theory, and extreme combinatorics. Most of my contributions are related to theory and practice of satisfiability (SAT) solving. I have developed award-winning SAT solvers , and my preprocessing techniques are used in state-of-the-art SAT solvers. My current research focusses on two major challenges for SAT solving: 1) exploiting the potential of high-performance computing; and 2) validating the results of SAT solvers and related tools. I have been developing a novel parallel SAT solving paradigm, called cube-and-conquer , which enables linear time speedups on many hard problems. The first publication on cube-and-conquer won the best paper award at HVC 2011. The increasing complexity of SAT solvers and related tools makes it more likely that these tools contain bugs. I designed a new proof format and implemented a fast, corresponding proof checker for SAT and QBF solvers. Proof-logging in this format has been mandatory for the SAT Competitions since 2013, thereby increasing the confidence that tools produce correct results. By constructing and validating a proof for the Boolean Pythagorean Triples problem (200 TB in size), I showed that proof logging and verification is even possible for the hardest problems. I am one of the editors of the Handbook of Satisfiability . This 900+ page handbook has become a standard for the SAT community, and it is a tremendous resource for future scientists. I am an Associate Editor of the Journal on Satisfiability, Boolean Modeling and Computation and was a co-chair of the SAT 2015 conference in Austin. My resume offers more details. Contact Information Gates Dell Complex, room 7.714 Department of Computer Science 2317 Speedway, M/S D9500 The University of Texas Austin, TX 78712-0233 email (work): marijn@cs.utexas.edu email (personal): marijn@heule.nl homepage: http://www.cs.utexas.edu/~marijn Citations source: Google Scholar Citations In the Media Selected articles on the ``largest math proof ever", check out Everything's Bigger in Texas for a complete list. Nature Volume 543: 17-18 Maths proof smashes size record [ pdf , url ] Reddit offers a discussion on this article with 250+ comments I Programmer May 10, 2016 A Mathematical Proof Takes 200 Terabytes To State This is the first article on the Pythagorean Triples proof Azimuth May 27/28, 2016 The world's most long-winded proof and Very Long Proofs The first article has 75+ comments including messages by Timothy Gowers Der Spiegel May 30, 2016 Zahlenrtsel: Der lngste Mathe-Beweis der Welt The article includes 60+ comments Phys.org May 30, 2016 Computer generated math proof is largest ever at 200 terabytes Slashdot offers a discussion on this article with 140+ comments Appearences in Dutch media: EenVandaag June 8, 2016 Nederlandse wetenschapper lost wiskundig probleem op Dutch news show item on the Pythagorean triples proof including a Skype interview with Ronald Graham. Volkskrant June 6, 2016 Bewijs dat net op 200 laptops past Interview in a Dutch newspaper on the ``largest math proof ever". NRC Handelsblad September 5, 2015 Op vleugels van vervulbaarheid Article in a Dutch newspaper on computer-generated proofs for math problems. Publications 2019 Marijn J. H. Heule, Benjamin Kiesl, and Armin Biere (2019). Strong Extension-Free Proof Systems . Accepted for the Journal of Automated Reasoning. 2018 Marijn J. H. Heule (2018). Schur Number Five . Proceedings of AAAI-18, pp. 6598-6606. [ link , arXiv ] Marijn J. H. Heule, Oliver Kullmann, and Armin Biere (2018). Cube and Conquer for Satisfiability . Handbook of Parallel Constraint Reasoning, Chapter 2, pp. 31-59. [ link ] Marijn J. H. Heule and Oliver Kullmann (2018). The Science of Brute Force . Best Writing on Mathematics 2018, pp. 46-66. [ link ] Marijn J. H. Heule and Armin Biere (2018). What a Difference a Variable Makes . In Tools and Algorithms for the Construction and Analysis of Systems - TACAS 2018 , pp.75-92. Lecture Notes in Computer Science 10806, Springer. [ pdf , doi ] Benjamin Kiesl, Adrian Rebola-Pardo, and Marijn J.H. Heule (2018). Extended Resolution Simulates DRAT . In International Joint Conference on Automated Reasoning - IJCAR 2018 , pp. 516-531. Lecture Notes in Computer Science 10900, Springer. Best paper award . [ pdf ] Marijn J. H. Heule (2018). Brute Trust . Nieuw Archief voor Wiskunde, 5th series, 19 (3): 226-227 . [ pdf ] Armin Biere and Marijn J. H. Heule (2018). The Effect of Scrambling CNFs . Accepted for Pragmatics of Satisfiability . [ pdf ] Marijn J. H. Heule (2018). Computing Small Unit-Distance Graphs with Chromatic Number 5 . Geombinatorics XXVIII(1): 32-50. [ arXiv ] Marijn J. H. Heule (2018). Optimal Symmetry Breaking for Graph Problems . Accepted for Mathematics in Computer Science . 2017 Marijn J.H. Heule and Oliver Kullmann (2017). The Science of Brute Force . Communications of the ACM 60(8), 70-79. [ link ] Marijn J. H. Heule (2017). Avoiding Triples in Arithmetic Progression . Journal of Combinatorics 8(3): 391-422. [ pdf ] Marijn J.H. Heule, Benjamin Kiesl, and Armin Biere (2017). Short Proofs Without New Variables . In Automated Deduction - CADE-26 , pp. 130-147. Lecture Notes in Computer Science 10395, Springer. Best paper award . [ pdf , doi , slides ] Lus Cruz-Filipe, Marijn J.H. Heule, Warren A. Hunt Jr., Matt Kaufmann, and Peter Schneider-Kamp (2017). Efficient Certified RAT Verification . In Automated Deduction - CADE-26 , pp. 220-236. Lecture Notes in Computer Science 10395, Springer. [ pdf , doi ] Marijn J.H. Heule, Oliver Kullmann, and Victor W. Marek (2017). Solving very hard problems: Cube-and-Conquer, a hybrid SAT solving method . Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence (IJCAI-17), pp. 4864-4868. [ pdf , slides ] Benjamin Kiesl, Marijn J.H. Heule, and Armin Biere (2017). A Little Blocked Literal Goes a Long Way . In Theory and Applications of Satisfiability Testing - SAT-2017 , pp. 281-297. Lecture Notes in Computer Science 10491, Springer. [ pdf , doi , slides ] Marijn J.H. Heule, Benjamin Kiesl, Martina Seidl, and Armin Biere (2017). PRuning Through Satisfaction . In Haifa Verification Conference - HVC 2017 , pp. 179-194. Lecture Notes in Computer Science 10629, Springer. Best paper award [ pdf , doi , slides ] Katalin Fazekas, Marijn J.H. Heule, Martina Seidl, and Armin Biere (2017). Skolem Function Composition for Quantified Boolean Formulas . In Tests and Proofs - TAP 2017 , pp. 129-138. Lecture Notes in Computer Science 10375, Springer. [ pdf , doi ] Marijn J.H. Heule, Warren A. Hunt Jr., Matt Kaufmann, and Nathan D. Wetzler (2017). Efficient, Verified Checking of Propositional Proofs . In Interactive Theorem Proving - ITP 2017 , pp. 269-284. Lecture Notes in Computer Science 10499, Springer. [ pdf , doi ] Valentin Wstholz, Oswaldo Olivo, Marijn J.H. Heule, and Il Dillig (2017). Static Detection of DoS Vulnerabilities in Programs that use Regular Expressions . In Tools and Algorithms for the Construction and Analysis of Systems - TACAS 2017 , pp. 3-20. Lecture Notes in Computer Science 10206, Springer. Best paper award . [ pdf , arXiv ] Marijn J.H. Heule and Benjamin Kiesl (2017). The Potential of Interference-Based Proof Systems . In ARCADE 2017, pp. 51-54. EPiC Series in Computing 51. [ pdf , slides ] J S. Moore and Marijn J.H. Heule (2017). Industrial Use of ACL2: Applications, Achievements, Challenges, and Directions . In ARCADE 2017, pp. 42-45. EPiC Series in Computing 51. [ pdf , slides ] Marijn J.H. Heule (2017). Everything's Bigger in Texas: ``The Largest Math Proof Ever'' . 3rd Global Conference on Artificial Intelligence, pp. 1-5. EPiC Series in Computing 50. [ pdf ] Tomas Balyo, Marijn J.H. Heule, and Matti Jrvisalo (2017). SAT Competition 2016: Recent Developments . Proceedings of AAAI 2017, pp. 5061-5063. [ pdf ] Keenan Breik, Lakshmi Prakash, Chris Thachuk, Marijn J.H. Heule, and David Soloveichik (2017). Computing properties of stable configurations of thermodynamic binding networks . [ arXiv ] 2016 Marijn J.H. Heule, Oliver Kullmann, and Victor W. Marek (2016). Solving and Verifying the boolean Pythagorean Triples problem via Cube-and-Conquer . In Theory and Applications of Satisfiability Testing SAT 2016 , pp. 228-245. Lecture Notes in Computer Science 9710, Springer. Best paper award . [ pdf , doi , slides ] Files and tools of the ``largest math proof ever" are available at Everything's Bigger in Texas . Cuong Kim Chau and Marijn J.H. Heule (2016). Computing Maximum Unavoidable Subgraphs Using SAT Solvers. In Theory and Applications of Satisfiability Testing SAT 2016 , pp. 196-211. Lecture Notes in Computer Science 9710, Springer. [ pdf , doi ] Marijn J.H. Heule, Martina Seidl, and Armin Biere (2016). Solution Validation and Extraction for QBF Preprocessing Journal of Automated Reasoning 58(1), 97-125. [ pdf , doi ] Marijn J.H. Heule (2016). The Quest for Perfect and Compact Symmetry Breaking for Graph Problems. Accepted for SYNASC 2016. [ pdf , slides ] Marijn J.H. Heule, Rezwana Reaz, H. B. Acharya, and Mohamed G. Gouda (2016). Analysis of Computing Policies Using SAT Solvers (Short Paper). In 18th International Symposium on Stabilization, Safety, and Security of Distributed Systems SSS 2016 pp. 1-5. Lecture Notes in Computer Science 10083, Springer. [ pdf ] 2015 Marijn J.H. Heule and Sean Weaver (2015). Proceedings of Theory and Applications of Satisfiability Testing - SAT 2015 - 18th International Conference, Austin, TX, USA, September 24-27, 2015 . Lecture Notes in Computer Science 9340, Springer. ISBN 978-3-319-24317-7. [ link ] Marijn J.H. Heule, Matti Jrvisalo, Florian Lonsing, Martina Seidl, and Armin Biere (2015). Clause Elimination for SAT and QSAT . Journal of Artificial Intelligence Research (JAIR) 53: 127-168. [ pdf ] Marijn J.H. Heule and Stefan Szeider (2015). A SAT Approach to Clique-Width . ACM Transactions on Computational Logic (TOCL) 16(3): 24 [ pdf ] Marijn J.H. Heule, Warren Hunt, Jr., and Nathan Wetzler (2015). Expressing Symmetry Breaking in DRAT Proofs. In Automated Deduction - CADE-25 , pp. 591-606. Lecture Notes in Computer Science 9195, Springer. [ pdf , slides ] Marijn J.H. Heule and Armin Biere (2015). Compositional Propositional Proofs . In LPAR-20, pp. 444-459. Lecture Notes in Computer Science 9450, Springer. [ pdf , slides ] Marijn J.H. Heule, Martina Seidl, and Armin Biere (2015). Blocked Literals are Universal . In NASA Formal Methods - NFM 2015 , pp. 436-442. Lecture Notes in Computer Science 9058, Springer. [ pdf , slides ] Marijn J.H. Heule and Torsten Schaub (2015). What's Hot in the SAT and ASP Competitions . In Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI 2015) , pp. 4322-4323. AAAI Press. [ pdf ] Marijn J.H. Heule and Armin Biere (2015). Proofs for Satisfiability Problems . Chapter 1 of All about Proofs, Proofs for all . [ pdf , slides ] Marijn J.H. Heule and Armin Biere (2015). Clausal Proof Compression . Accepted for the 11th International Workshop on the Implementation of Logics . [ pdf ] Rezwana Reaz, Muqeet Ali, Mohamed G. Gouda, Marijn J.H. Heule, and Ehab S. Elmallah (2015). The Implication Problem of Computing Policies . In Stabilization, Safety, and Security of Distributed Systems , pp. 109-123. Lecture Notes in Computer Science 9212, Springer. [ pdf ] 2014 Marijn J.H. Heule, Matina Seidl and Armin Biere (2014). Efficient Extraction of Skolem Functions from QRAT Proofs . In Formal Methods in Computer-Aided Design 2014 , pp. 107-114. [ pdf ] Marijn J.H. Heule, Matina Seidl and Armin Biere (2014). A Unified Proof System for QBF Preprocessing . In 7th International Joint Conference on Artifical Reasoning, IJCAR 2014 , pp. 91-106. Lecture Notes in Computer Science Volume 8562, Springer. [ pdf ] Anton Belov, Marijn J.H. Heule and Joao Marques-Silva (2014). MUS Extraction Using Clausal Proofs . In Theory and Applications of Satisfiability Testing SAT 2014 , pp. 48-57. Lecture Notes in Computer Science 8561, Springer. [ pdf ] Marijn J.H. Heule, Warren A. Hunt and Nathan Wetzler (2014). Bridging the gap between easy generation and efficient verification of unsatisfiability proofs . Software Testing, Verification and Reliability 24(8):593-607. [ pdf ] Tomas Balyo, Andreas Frhlich, Marijn J.H. Heule and Armin Biere (2014). Everything You Always Wanted to Know about Blocked Sets (But Were Afraid to Ask) . In Theory and Applications of Satisfiability Testing SAT 2014 , pp. 317-332. Lecture Notes in Computer Science 8561, Springer. [ pdf ] Nathan Wetzler, Marijn J.H. Heule and Warren A. Hunt (2014). DRAT-trim: Efficient Checking and Trimming Using Expressive Clausal Proofs . In Theory and Applications of Satisfiability Testing SAT 2014 , pp. 422-429. Lecture Notes in Computer Science 8561, Springer. [ pdf ] 2013 Marijn J.H. Heule and Sicco Verwer (2013). Software model synthesis using satisfiability solvers . Empirical Software Engineering 18(4): 825-856. [ doi ] Marijn J.H. Heule, Warren A. Hunt, Jr. and Nathan Wetzler (2013). Trimming while checking clausal proofs . In Formal Methods in Computer-Aided Design 2013 , pp. 181-188. [ pdf ] Marijn J.H. Heule, Warren Hunt, Jr., and Nathan Wetzler (2013). Verifying Refutations with Extended Resolution. In Automated Deduction - CADE-24 , pp. 345-359. Lecture Notes in Computer Science 7898, Springer. [ pdf ] Nathan Wetzler, Marijn J.H. Heule and Warren A. Hunt, Jr. (2013). Mechanical Verification of SAT Refutations with Extended Resolution . In Interactive Theorem Proving 2013 , pp. 229244. Lecture Notes in Computer Science 7998, Springer. [ pdf ] Marijn J.H. Heule, Matti Jrvisalo and Armin Biere (2013). Revisiting Hyper Binary Resolution . In CPAIOR 2013 , pp. 77-93. Lecture Notes in Computer Science 7874, Springer. [ pdf ] Marijn J.H. Heule and Armin Biere (2013). Blocked Clause Decomposition . In Logic for Programming, Artificial Intelligence, and Reasoning 2013 , pp. 423-438. Lecture Notes in Computer Science 8312, Springer. [ pdf ] Marijn J.H. Heule and Stefan Szeider (2013). A SAT Approach to Clique-Width . In Theory and Applications of Satisfiability Testing SAT 2013 , pp. 318-334. Lecture Notes in Computer Science 7962, Springer. [ pdf ] Magdalena Widl, Armin Biere, Petra Brosch, Uwe Egly, Marijn J.H. Heule, Gerti Kappel, Martina Seidl and Hans Tompits (2013). Guided merging of sequence diagrams . In Software Language Engineering , pp. 164-183. Lecture Notes in Computer Science 7745, Springer. [ doi ] 2012 Norbert Manthey, Marijn J.H. Heule, and Armin Biere (2012). Automated Reencoding of Boolean Formulas . In Haifa Verification Conference 2012 , pp. 102-117. Lecture Notes in Computer Science 7857, Springer. Best paper award . [ doi ] Peter van der Tak, Marijn J.H. Heule, and Armin Biere (2012). Concurrent Cube-and-Conquer . In Pragmatics of SAT . Peter van der Tak, Marijn J.H. Heule, and Armin Biere (2012). Concurrent Cube-and-Conquer: Poster Presentation . In Theory and Applications of Satisfiability Testing SAT 2012 , pp. 475-476. Lecture Notes in Computer Science 7317, Springer. [ doi ] Matti Jrvisalo, Marijn J.H. Heule, and Armin Biere (2012). Inprocessing Rules . In 6th International Joint Conference, IJCAR , pp. 355-370. Lecture Notes in Computer Science 7364, Springer. [ doi ] Matti Jrvisalo, Armin Biere, and Marijn J.H. Heule (2012). Simulating Circuit-Level Simplifications on CNF . Journal of Automated Reasoning 49(4):583-619. [ doi ] Marijn J.H. Heule, Oliver Kullmann, Siert Wieringa, and Armin Biere (2012). Cube and Conquer: Guiding CDCL SAT Solvers by Lookaheads . In Haifa Verification Conference 2011 , pp. 50-65. Lecture Notes in Computer Science 7261, Springer. [ pdf ] 2011 Peter van der Tak, Antonio Ramos, and Marijn J.H. Heule (2011). Reusing the Assignment Trail in CDCL Solvers . Journal on Satisfiability, Boolean Modeling and Computation 7:133-138. [ pdf ] Oliver Gableske and Marijn J.H. Heule (2011). EagleUP: Solving Random 3-SAT using SLS with Unit Propagation . In Pragmatics of SAT 2011 . [ pdf ] Oliver Gableske and Marijn J.H. Heule (2011). EagleUP: Solving Random 3-SAT using SLS with Unit Propagation . In SAT 2011 , pp. 367-368. Lecture Notes in Computer Science 6695, Springer. [ pdf ] Antonio Ramos, Peter van der Tak, and Marijn J.H. Heule (2011). Between Restarts and Backjumps . In K.A. Sakallah and L. Simon (Eds.), SAT 2011 , pp. 216-229. Lecture Notes in Computer Science, Springer. [ pdf ] Marijn J.H. Heule, Matti Jrvisalo, and Armin Biere (2011). Efficient CNF Simplification based on Binary Implication Graphs . In K.A. Sakallah and L. Simon (Eds.), SAT 2011 , pp. 201-215. Lecture Notes in Computer Science 6695, Springer. [ pdf ] 2010 Shai Haim and Marijn Heule (2010). Towards Ultra Rapid Restarts . Technical Report, UNSW and TU Delft. [ pdf ] Marijn J.H. Heule, Matti Jrvisalo, and Armin Biere (2010). Covered Clause Elimination . In Short paper proceedings of LPAR-17, 17th International Conference on Logic for Programming, Artificial Intelligence and Reasoning, Yogyakarta, Indonesia, October 10th - 15th, 2010 . EasyChair Proceedings. [ pdf ] Marijn J.H. Heule, Matti Jarvisalo, and Armin Biere (2010). Blocked Clause Elimination and its Extentions . Technical Report, Proceedings of Guangzhou Symposium on Satisfiability In Logic-Based Modeling. [ pdf ] Sid Mijnders, Boris de Wilde, and Marijn J.H. Heule (2010). Symbiosis of Search and Heuristics for Random 3-SAT . In David Mitchell and Eugenia Ternovska (Eds.), Proceedings of the Third International Workshop on Logic and Search (LaSh 2010) . [ pdf ] Marijn J.H. Heule and Toby Walsh (2010). Internal Symmetry . In Pierre Flener and Justin Pearson (Eds.), The 10th International Workshop on Symmetry in Constraint Satisfaction Problems (SymCon'10) , pp. 19-33. [ pdf ] Marijn J.H. Heule, Matti Jrvisalo, and Armin Biere (2010). Clause Elimination Procedures for CNF Formula . [ pdf ] Marijn J.H. Heule and Sicco Verwer (2010). Exact DFA Identification Using SAT Solvers . In Jos M. Sempere and Pedro Garca (Eds.), Grammatical Inference: Theoretical Results and Applications 10th International Colloquium, ICGI 2010 , pp. 66-79. Lecture Notes in Computer Science 6339, Springer. [ pdf ] Marijn J.H. Heule and Toby Walsh (2010). Symmetry within Solutions . In Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2010) , pp. 77-82. AAAI Press. [ pdf ] Matti Jrvisalo, Armin Biere, and Marijn J.H. Heule (2010). Blocked Clause Elimination . In J. Esparza and R. Majumdar (Eds.), TACAS 2010 , pp. 129-144. Lecture Notes in Computer Science 6015, Springer. [ pdf ] 2009 Marijn J.H. Heule and Sicco Verwer (2009). Using a satisfiability solver to identify deterministic finite state automata . In Toon Calders and Karl Tuyls and Mykola Pechenizkiy (Eds.), BNAIC 2009 , pp. 91-98. Best paper award . [ pdf ] Bas Schaafsma, Marijn J.H. Heule, and Hans van Maaren (2009). Dynamic Symmetry Breaking by Simulating Zykov Contraction . In Oliver Kullmann (Eds.), Theory and Applications of Satisfiability Testing -- SAT 2009 , pp. 223-236, June 30 - July 3, 2009, Swansea. LNCS 5584, Springer. [ pdf ] Marijn J.H. Heule and Hans van Maaren (2009). Look-Ahead Based SAT Solvers . In Armin Biere and Marijn J.H. Heule and Hans van Maaren and Toby Walsh (Eds.), Chapter 5 of Handbook os Satisfiability, pp. 155-184. IOS Press. [ pdf , doi ] Armin Biere, Marijn J.H. Heule, Hans van Maaren, and Toby Walsh (2009). Handbook of Satisfiability . Frontiers in Artificial Intelligence and Applications, volume 85. IOS Press. [ link ] 2008 Marijn J.H. Heule (2008). SmArT solving: Tools and techniques for satisfiability solvers . PhD Thesis, TU Delft. [ pdf ] Marijn J.H. Heule (2008). Solving edge-matching problems with satisfiability solvers . In Proceedings of the Second International Workshop on Logic and Search (LaSh 2008) , pp. 88-102. University of Leuven. [ pdf ] Marijn J.H. Heule and Hans van Maaren (2008). Whose side are you on? Finding solutions in a biased search-tree . Journal on Satisfiability, Boolean Modeling and Computation 4:117-148. [ pdf ] Marijn J.H. Heule and Hans van Maaren (2008). Parallel SAT Solving using Bit-level Operations . Journal on Satisfiability, Boolean Modeling and Computation 4:99-116. [ pdf ] Henriette Bier, Adriaan de Jong, Gijs van der Hoorn, Niels Brouwers, Marijn J.H. Heule, and Hans van Maaren (2007). Prototypes for Automated Architectural 3D-Layout . In T.G. Wyeld and S. Kenderdine and M. Docherty (Eds.), Proceedings of the 13th International Conference on Virtual Systems and Multimedia , pp. 203-214. Lecture Notes in Computer Science 4820, Springer. [ pdf ] Hans van Maaren, Linda van Norden, and Marijn J.H. Heule (2008). Sums of squares based approximation algorithms for MAX-SAT . Discrete Applied Mathematics 156(10):1754-1779. [ doi ] 2007 Marijn J.H. Heule and Hans van Maaren (2007). From Idempotent Generalized Boolean Assignments to Multi-bit Search . In Joao Marques-Silva and Karem A. Sakallah (Eds.), Theory and Applications of Satisfiability Testing - SAT 2007 , pp. 134-147. Lecture Notes in Computer Science 4501, Springer. [ pdf ] Marijn J.H. Heule and Hans van Maaren (2007). Effective Incorporation of Double Look-Ahead Procedures . In Joao Marques-Silva and Karem A. Sakallah (Eds.), Theory and Applications of Satisfiability Testing - SAT 2007 , pp. 258-271. Lecture Notes in Computer Science 4501, Springer. [ pdf ] Marijn J.H. Heule and Leon J.M. Rothkrantz (2007). Solving Games: Dependance of applicable solving procedures . Science of Computer Programming 67(1):105-124. [ pdf ] Paul R. Herwig, Marijn J.H. Heule, Martijn van Lambalgen, and Hand van Maaren (2007). A New Method to Construct Lower Bounds for Van der Waerden Numbers . The Electronic Journal of Combinatorics 14:1-18. [ pdf ] 2006 Marijn J.H. Heule and Hans van Maaren (2006). Whose side are you on? Finding solutions in a biased search-tree . Technical Report, Proceedings of Guangzhou Symposium on Satisfiability In Logic-Based Modeling. [ pdf ] Marijn J.H. Heule and Hans van Maaren (2006). March_dl: Adding Adaptive Heuristics and a New Branching Strategy . Journal on Satisfiability, Boolean Modeling and Computation 2:47-59. [ pdf ] 2005 Marijn J.H. Heule, Joris E. van Zwieten, Mark Dufour and Hans van Maaren (2005). March_eq: Implementing Additional Reasoning into an Efficient Lookahead Sat Solver . In Holger H. Hoos and David G. Mitchell (Eds.), SAT 2004 , pp. 345-359. Lecture Notes in Computer Science 3542, Springer. [ pdf ] Marijn J.H. Heule and Hans van Maaren (2005). Aligning CNF- and Equivalence- Reasoning . In Holger H. Hoos and David G. Mitchell (Eds.), SAT 2004 , pp. 145-156. Lecture Notes in Computer Science 3542, Springer. [ pdf ] Marijn J.H. Heule and Hans van Maaren (2005). Observed Lower Bounds for Random 3-Sat Phase Transition Density using Linear Programming . In Fahiem Bacchus and Toby Walsh (Eds.), SAT 2005 , pp. 122-134. Lecture Notes in Computer Science 3569, Springer. [ pdf ] Talks Selected invited talks and tutorials. Slides of conference talks can be found under publications. 2016 Invisted talk at the Logic and Search Workshop in New York on October 17, 2016. Everything's Bigger in Texas - The Largest Math Proof Ever. [ slides ] Dagstuhl talk in Wadern, Germany on September 20, 2016. Practical Proof Systems for SAT and QBF. [ slides ] Talk during research visit to Rice University on August 24, 2016. Everything's Bigger in Texas - The Largest Math Proof Ever. [ slides ] Talk at the Fields Institute in Toronto, Canada on August 18, 2016. Applications of SAT solving to Mathematics: Proofs and Heuristics. [ slides ] Talk during research visit to the Max Planck Institute in Saarbruecken, Germany on July 27, 2016. Everything's Bigger in Texas - The Largest Math Proof Ever. [ slides ] Tutorial at the Industry Day of SAT 2016 in Bordeaux, France on July 9, 2016. Proofs of Unsatisfiability. [ slides ] Talk during research visit to Johannes Kepler University in Linz, Austria on June 22, 2016. Everything's Bigger in Texas - The Largest Math Proof Ever. [ slides ] An invited talk at the 50 Years of the Hales-Jewett Theorem conference in Bellingham, Washington on May 6, 2016. Solving and Verifying the Boolean Pythagorean Triples Problem via Cube-and-Conquer. [ slides ] Software DRAT-trim website , GitHub DRAT-trim is a satisfiability proof checking and trimming utility designed to validate proofs for all known satisfiability solving and preprocessing techniques. DRAT-trim can also emit trimmed formulas, optimized proofs, and TraceCheck+ dependency graphs. QRAT-trim website QRAT-trim is a proof checking utility for quantified Boolean formulas and is based on the QRAT proof system. The tool also supports the conversion of QRAT proofs into Skolem functions. Cube-and-Conquer sources The cube-and-conquer parallel SAT solving paradigm combines look-ahead techniques for splitting with conflict-driven clause-learning techniques. March sources The March SAT solver (latest version march_br) is based on the lookahead architecture. It is the latest version in the march family of solvers, which won many medals at various SAT competitions. See the SAT 2004 paper for details. DRUP-trim website DRUP-trim is a proof checking utility based on the reverse unit propagation redundancy property. The tool was used to validate the results of SAT Competition 2013. Design adapted from KamSolutions and uses Bootstrap . diff --git a/src/data/compiled_bios/4.txt b/src/data/compiled_bios/4.txt new file mode 100644 index 0000000000..d3e07cebfa --- /dev/null +++ b/src/data/compiled_bios/4.txt @@ -0,0 +1 @@ + Abdussalam Alawini Teaching Assistant Professor 4209 Siebel Center for Comp Sci 201 N. Goodwin Ave. Urbana Illinois 61801 (217) 300-8116 alawini@illinois.edu : . . . . diff --git a/src/data/compiled_bios/40.txt b/src/data/compiled_bios/40.txt new file mode 100644 index 0000000000..09aa73900c --- /dev/null +++ b/src/data/compiled_bios/40.txt @@ -0,0 +1 @@ + Julia Constanze Hockenmaier Associate Professor and Willett Faculty Scholar 3324 Siebel Center for Comp Sci 201 N. Goodwin Ave. Urbana Illinois 61801 (217) 265-6855 juliahmr@illinois.edu : Primary Research Area Artificial Intelligence Research Areas Artificial Intelligence . Primary Research Area Artificial Intelligence Research Areas Artificial Intelligence . . . diff --git a/src/data/compiled_bios/400.txt b/src/data/compiled_bios/400.txt new file mode 100644 index 0000000000..624aa95940 --- /dev/null +++ b/src/data/compiled_bios/400.txt @@ -0,0 +1 @@ +Name: Straach, Janell:: Position: Senior Lecturer:: Degrees: B.S., Computer Science, Angelo State University; M.C.S., Texas A&M Univeristy; M.S., Computer Science, The University of Texas at Dallas; Ph.D., Computer Science, The University of Texas at Dallas; M.B.A., University of Dallas; Research Interests: Software Maintenance & Evolution; Women in STEM; Software Project Planning & Management; Notable Service: UG Faculty Advisor; LLC Faculty Advisor; Women Who Compute Faculty Advisor; diff --git a/src/data/compiled_bios/4000.txt b/src/data/compiled_bios/4000.txt new file mode 100644 index 0000000000..210cf61056 --- /dev/null +++ b/src/data/compiled_bios/4000.txt @@ -0,0 +1 @@ + Qixing Huang Assistant Professor The University of Texas at Austin GDC 5'422, Austin, Texas 78751 Email: huangqx at cs.utexas dot edu Short Bio Qixing Huang obtained his PhD in Computer Science from Stanford University in 2012. From 2012 to 2014 he was a postdoctoral research scholar at Stanford University. From 2014 to 2016 he was a research assistant professor at Toyota Technological Institue at Chicago. He received his MS and BS in Computer Science from Tsinghua University. He has also interned at Google Street View, Google Research and Adobe Research. His research spans computer vision, computer graphics, computational biology and machine learning. In particular, his recent focus is on developing machine learning algorithms (particularly deep learning) that leverage Big Data to solve core problems in computer vision, computer graphics and computational biology. He is also interested in statistical data analysis, compressive sensing, low-rank matrix recovery, and large-scale optimization, which provide theoretical foundation for much of his research. News Feburary 2019 . Our tutorial (together with Xiaowei Zhou , Junyan Zhu and Tinghui Zhou ) on "Map Synchronization: from Object Correspondences to Neural Networks" was accepted by CVPR 2019. Feburary 2019 . Our paper on "GAN-SRAF: Sub-Resolution Assist Feature Generation using Conditional Generative Adversarial Networks" was accepted by Design and Automation Conference (or DAC) 2019. January 2019 . Our workshop (together with Angel Chang , Daniel Ritchie and Manolis Savva ) on "3D Scene Generation" was accepted by CVPR 2019. November 2018 . I will serve as area chairs of ICCV 2019 and CVPR 2019. July 2018 . Four papers accepted by European Conference on Computer Vision (or ECCV 2018). June 2018 . Arjun defended his undergraduate thesis on multi-view supervision for 3D inference tasks. May 2018 . One paper accepted by International Conference on Machine Learning (or ICML 2018). Curriculum Vitae Publications Google Scholar My Research Group Teaching and Reading Groups Spring, 2019 : Computer Vision (Undergraduate Course) . Fall, 2018 : Numerical Optimization for Graphics and AI (Graduate Course) . Spring, 2018 : Computer Graphics (Undergraduate Course) . Fall, 2017 : Numerical Optimization for Graphics and AI (Graduate Course) . Spring, 2017 : Advanced Geometry Processing (Graduate Course) . Fall, 2016--- : Machine Learning and Statistics Reading Group . Students and Student Collaborators (UT Austin) Xiangru Huang Zaiwei Zhang Zhenpei Yang Yifan Sun Zhenxiao Liang Angela Lin Xingyi Zhou Zihang He Lemeng Wu Last update: Dec. 8, 2018 diff --git a/src/data/compiled_bios/4001.txt b/src/data/compiled_bios/4001.txt new file mode 100644 index 0000000000..bdd54d7d9b --- /dev/null +++ b/src/data/compiled_bios/4001.txt @@ -0,0 +1 @@ + Warren A. Hunt, Jr. Professor Department of Computer Sciences The University of Texas at Austin Department of Computer Science 2317 Speedway, M/S D9500 The University of Texas Austin, TX 78712-0233 Office: Gates Hall (GDC) 7.818 E-mail: hunt@cs.utexas.edu Tel: +1 512 471 9748 FAX: +1 512 471 8885 Web: http://www.cs.utexas.edu/users/hunt/index.html Office Hours For Fall, 2017, I am not holding regular office hours. Please send me an E-mail message to schedule an appointment. Interest Areas My research involves the use of formal mathematics to write specifications for computer hardware and software and to use proof techniques to determine the validity of such specifications. Specifications of both high-level intent and low-level implementations are possible, and mechanical proof techniques can determine whether implementations satisfy their specifications. Over the years, I have verified a number of different microprocessor designs of increasing complexity. I am also interested in computer architecture, low-power computing, garbage collection, and biological-inspired computing. Currently, I am working on specifying computer memory models, extending our x86 specification, and on SAT proof checking. Addtional details are available. Accomplishments My primary contributions concern the formal specification and verification of digital computing systems. I am currently involved with X86 ISA specification and validation of SAT solvers. I also worked briefly in the area of computational biology. I have listed some of these efforts. Course Information Notes and information for my courses are on-line. I would appreciate any feedback and corrections. Papers, Resume, and Personal Information In my vita is a listing of all of my papers; there are also links to each of my papers. Out of consideration for my references, I do not include their names and contact information on the Web, but they are available upon request. A short biography is available. My Google Scholar page can be used to find many of my publications. Research Topics I am working on several research topics. Please contact me if you desire additional information. Some Talks In 2017, I gave an invited talk to the JASON Advisory Group about our hardware-focused efforts. In 2016, I gave an invited talk at the Royal Society about our specifying the x86 ISA and our use of this specificaiton. I gave an invited talk at ITP 2011, about our work with Centaur Technology, Inc., where we are verifying various properties of the 64-bit, VIA Nano, X86-compatible microprocessor. I gave a talk at CAV 2009 about my work with Sol Swords regarding our efforts at applying our tools to VIA's Nano processor. I was one several presenters at the CAV2004 tutorial on microprocessor verification. I presented slides outlining the difficulty of identifying microprocessor correctness statements, and I presented a summary of the verification of the FM9801 (Jun Sawada's PhD Dissertation work) as an example microprocessor verification effort. In the second part of my presentation, I presented slides with some thoughts of what facilities future hardware verifications system should include. FMCAD I am chairman of the FMCAD steering committee. The FMCAD conference series has existed since 1996. The conference is supported by FMCAD, Inc., and the conference has enjoyed "in-kind" support from the ACM and the IEEE. For 1996 -- 2004, FMCAD conference proceeding were published in Springer's LNCS. Since 2005, FMCAD conference papers are available in the ACM and IEEE digital libraries. Additional details about FMCAD are available. Professional Associates Robert S. Boyer -- UTCS Professor Emeritus. Jared Davis -- PhD & Apple Engineer. Jo Ebergen -- PhD & Senior Consulting Engineer, Oracle. Shilpi Goel -- PhD & Engineer, Centaur Technology. Marijn Heule -- PhD & UTCS Research Assistant Professor. Matt Kaufmann -- PhD & UTCS Senior Research Scientist. J Strother Moore -- UTCS Professor Emeritus. David Rager -- PhD & Scientist, Oracle. Sandip Ray -- PhD & Endowed IoT Term Professor, University of Florida at Gainesville. Marly Roncken -- Senior Research Associate, Portland State University. Anna Slobodova -- PhD & Principal Engineer, Centaur Technology. Ivan Sutherland -- Research Professor, Portland State University. Sol Swords -- PhD & Engineer, Centaur Technology. Tandy Warnow -- UIUC Founder Professor. Nathan Weltzer -- PhD & Engineer, Intel Corporation. Current PhD Students: PhD students that work in my research group. Cuong Chau -- CS PhD Student. Mihir Mehta -- CS PhD Student. Mertcan Temel -- ECE PhD Student. Current PhD Candidates: PhD students that have successfully proposed and for which I am acting as their principal advisor. Graduated PhDs Jun Sawada -- CS PhD, 1999. Shant Harutunian -- ECE PhD, Spring, 2007. Erik Reeber -- CS PhD, Fall, 2007. Serita Nelesen -- CS PhD, co-advised with Tandy Warnow , Fall, 2009. Sol Swords -- CS PhD, Fall, 2010. David Rager -- CS PhD, Fall, 2012. Ian Wehrman -- CS PhD, co-advised with J Moore , Fall, 2012. Nathan Weltzer -- CS PhD, co-advised with Marijn Heule , Spring, 2015. Shilpi Goel -- CS PhD, Fall 2016. Standard disclaimer Nothing on my web pages should be taken as representing the official position of the University of Texas at Austin or any other part of the government of the State of Texas. Up To the University of Texas at Austin Computer Sciences Department . diff --git a/src/data/compiled_bios/4002.txt b/src/data/compiled_bios/4002.txt new file mode 100644 index 0000000000..bf923ef629 --- /dev/null +++ b/src/data/compiled_bios/4002.txt @@ -0,0 +1 @@ +Alexander Huth UTCS Research Areas: Artificial Intelligence Bioinformatics and Computational Biology Data Mining, Machine Learning, and Natural Computation: diff --git a/src/data/compiled_bios/4003.txt b/src/data/compiled_bios/4003.txt new file mode 100644 index 0000000000..e691ba0fc6 --- /dev/null +++ b/src/data/compiled_bios/4003.txt @@ -0,0 +1 @@ + Chand T. John Assistant Professor of Instruction Department of Computer Science University of Texas at Austin chand@cs.utexas.edu PhD CS, Stanford University, 2012 MS CS, Stanford University, 2007 BS CS, University of Texas at Austin, 2003 BS Math, University of Texas at Austin, 2003 Diversity & Inclusion In the Tech Industry Advisor to Breaking the Glass Unconscious bias curriculum Research-based unconscious bias talk In CS Education Video on sorting algorithms (#11 trending YouTube video, >1.9 million views) Computer science comics Code.org volunteer speaker Courses Spring 2019 CS 302: Computer Fluency CS 312: Introduction to Programming Industry Principal Robotics Software Engineering Consultant, Verb Surgical, Inc. Software Engineer, Honda Research Institute USA, Inc. (past) Android app for task management Press The National Institutes of Health featured my research on simulating muscle activity that drives human walking in the 2008 issue of Biomedical Beat . Biomedical Computation Review cover feature Cover image from simulation of human musculoskeletal motion during walking Research Publications Robotics & Human Simulation Algorithm enabling 20x longer simulations The The National Institutes of Health featured this work in the 2008 issue of Biomedical Beat . I created the longest duration 3D, detailed, high-fidelity muscle-driven simulation of walking in existence at the time by creating the residual reduction algorithm, which overcame a key error accumulation problem. Framework to control robot & human models I created a software framework and tutorial that received accolades for its accessibility and effectiveness in teaching new users how to create custom C++ controllers for their own robot and human models. Informing treatments to prevent injuries This study revealed how muscles keep you from falling sideways when walking at different speeds, suggesting new strategies for preventing life-threatening fall-related injuries. Revealing that muscles stabilize walking A long-standing mystery in human movement science was resolved using a 3D walking simulation and a model I implemeted of a muscle without stiffness or damping properties. Modeling muscle behavior To facilitate researchers' understanding of the mechanical properties of muscles and how they are modeled on computers, I created a set of custom muscle models and the first comprehensive documentation of a popular muscle model. 3D Medical Image Analysis Tools for analyzing medical images I added core tools to 3D Slicer, a widely used open-source image processing package, to enable researchers to outline structures in medical images more interactively and accurately. I also created documentation that helped many new users of 3D Slicer complete tasks with speed and ease. Making mountains out of molars Four methods were tested for finding the hills and valleys in the shapes of human teeth. Fractals & Bzier Curves Animating clouds Shapes resembling real clouds were generated using a new method for representing complex shapes using a few simple curves. Animating words Smooth transformations between simple curves were used to generate complex fractal animations transforming one word into another. Simple curves controlling complex shapes A new method for controlling complex fractal shapes using simple curves, known as Bzier curves, was developed. This method is the basis for the two projects above. Blogging How to Become a Rockstar in 10 Tiny, Rewarding Steps Five Ways to Harness Your Irresponsibility for Increased Happiness and Productivity Awards Inaugural OpenSim Fellow, 2014-2017 NIH National Center for Simulation in Rehabilitation Research (NCSRR) Recognizes a strong commitment to the open-source community of OpenSim developers and users and a deep expertise in biomechanical modeling and simulation Stanford Opportunity Job Fair Award, 2011 Stanford University School of Engineering Software and research showcased to over 120 companies and government agencies and over 1000 Stanford students ASME Summer Bioengineering Conference Semi-Finalist, 2009 American Society of Mechanical Engineers (ASME) Awarded for software and computer science contributions to the study of human walking pathologies ARCS Fellowship, 2008-2009 Achievement Rewards for College Scientists (ARCS) Foundation One of four students chosen from all of Stanford's Engineering departments AAAS/Science Program for Excellence in Science, 2006-2008 American Association for the Advancement of Science (AAAS) For software and research contributions to the study of human health NIH/NIGMS Predoctoral Fellowship in Biocomputation, 2005-2008 National Institutes of Health (NIH), National Institute of General Medical Sciences (NIGMS) Awarded for interdisciplinary work contributing software and algorithms to cutting-edge research in biological sciences Stanford School of Engineering Fellowship, 2003-2004 Stanford University One-year fellowship awarded to PhD students in Stanford's School of Engineering Illinois Distinguished Fellowship offer, 2003 University of Illinois at Urbana-Champaign Fellowship offered to top applicants to the computer science PhD program UT-Austin Dean's Honored Graduate in Computer Science, 2003 University of Texas at Austin One of two students chosen for special recognition at graduation from the Department of Computer Science George H. Mitchell Award for Academic Excellence, 2003 University of Texas at Austin Students chosen from entire undergraduate student body of juniors and seniors for exceptional scholarly and creative achievement Computing Research Association Outstanding Undergraduate Award Finalist, 2003 Computing Research Association (CRA) One of eight students chosen from 300 universities for conducting novel research NSF VIGRE Grant for Undergraduate Research in Mathematics, 2002-2003 National Science Foundation (NSF) Awarded for research bridging computer science and mathematics diff --git a/src/data/compiled_bios/4004.txt b/src/data/compiled_bios/4004.txt new file mode 100644 index 0000000000..7cc3411a69 --- /dev/null +++ b/src/data/compiled_bios/4004.txt @@ -0,0 +1 @@ + Matt Kaufmann Senior Research Scientist Department of Computer Sciences Taylor Hall 2.124 University of Texas at Austin Austin, TX 78712-1188 U.S.A. Email: kaufmann@cs.utexas.edu Office: Main 2002 Phone: 512 471-9780 Fax: 512 471-8885 The ACL2 Theorem Prover Selected Presentations Resume Long version [PDF] [Postscript] Shorter version [PDF] [Postscript] Big page of links that Matt has collected It's Still Social Work to Me (video) Kaubells Tunes Holiday Letters 2018 [PDF] 2017 [PDF] 2016 [PDF] 2015 [PDF] 2014 [PDF] 2013 [PDF] 2012 [PDF] 2011 [PDF] 2010 [PDF] 2009 [PDF] 2008 [Word/Rtf] [Text] 2007 [Word] [Rtf] [Text] 2006 [HTML] [Word] Associated picture 2005 [Word] [HTML] 2003 [Text] 2002 [rtf (Word)] [Text] Emacs help Some Emacs Basics (very brief!) A helpful .emacs file distributed with ACL2 A timekeeping tool Some random class notes Picture with wife, Holly (June 2008) Pictures from ACM Awards Ceremony (see also here for additional pictures) Co-organized in 2010: ITP 2010: Int'l Conference on Interactive Theorem Proving (ITP) 2010, July 11-14, 2010, Edinburgh, Scotland; part of FLoC 2010 . ITP home page with link to EasyChair program page Program page with slides TEITP (Trusted Extensions of Interactive Theorem Provers) Miscellaneous documents My big sports moment :) Notes on my use of the screen utility Department of Computer Science University of Texas at Austin diff --git a/src/data/compiled_bios/4005.txt b/src/data/compiled_bios/4005.txt new file mode 100644 index 0000000000..4576c60467 --- /dev/null +++ b/src/data/compiled_bios/4005.txt @@ -0,0 +1 @@ + Adam Klivans I am an Associate Professor in the Computer Science Department of the University of Texas at Austin. PUBLICATIONS Lectures I gave for the Real Analysis Boot Camp at the Simons Institute in September, 2013: Analytic Methods for Supervised Learning I Analytic Methods for Supervised Learning II Analytic Methods for Supervised Learning III Analytic Methods for Supervised Learning IV BONUS TALK: Moment-Matching Polynomials in which we suggest a notion of noise-stability for non-product distributions. Teaching Spring 2019: CS378H Honors Data Mining Teaching Fall 2017: CS311 Mathematics For Computer Science Research Professor, MSRI Workshop on Quantitative Geometry , Berkeley 2011. PC Co-Chair: COLT 2009 , in Montreal. Editorial Board: Theory of Computing and Machine Learning Journal . Recent Program Committees: FOCS 2007 , RANDOM 2008 , SODA 2009 , COLT 2009 (Chair), COLT 2011 , ITCS 2012 , FOCS 2012 , COLT 2013 , FOCS 2013 . Graduate Seminar: The Computational Complexity of Machine Learning . Current Student: Pravesh Kothari . (Former) Student: Alexander Sherstov , Assistant Professor, UCLA. (Former) Postdocs: Parikshit Gopalan Researcher, MSR-SVC; Homin Lee , Senior Data Scientist, Bundle. Research Interests: Learning Theory, Computational Complexity, Pseudorandomness, Limit Theorems, and Gaussian Space. Support Research supported by an NSF CAREER Award (The Computational Complexity of Halfspace-Based Learning), NSF Grant CCF-0728536 (The Computational Intractability of Machine Learning Tasks), and a Texas Advanced Research Program Award. How to reach me: E-mail: klivans@cs *dot* utexas *dot* edu The University of Texas at Austin Department of Computer Science Taylor Hall 2.124 1 University Station, C0500 Austin, TX 78712-1188 diff --git a/src/data/compiled_bios/4006.txt b/src/data/compiled_bios/4006.txt new file mode 100644 index 0000000000..9a9439d5b7 --- /dev/null +++ b/src/data/compiled_bios/4006.txt @@ -0,0 +1 @@ + Home Code Philipp Krhenbhl Department of Computer Science University of Texas at Austin 2317 Speedway Austin, TX 78712-1757 email: philkr (at) cs.utexas.edu CV , DBLP , Google Scholar , github Research I am an Assistant Professor in the Department of Computer Science at the University of Texas at Austin . I received my PhD in 2014 from the CS Department at Stanford University and then spent two wonderful years as a PostDoc at UC Berkeley . My research interests lie in Computer Vision, Machine learning and Computer Graphics. Im particularly interested in deep learning, as well as image segmentation and understanding. Publications 2018 Video Compression through Image Interpolation Chao-Yuan Wu, Nayan Singhal and Philipp Krhenbhl ECCV 2018 [pdf] [details] Domain transfer through deep activation matching Haoshuo Huang,Qixing Huang and Philipp Krhenbhl ECCV 2018 [pdf] [details] [project] Compressed Video Action Recognition Chao-Yuan Wu,Manzil Zaheer,Hexiang Hu,R. Manmatha,Alexander J. Smola and Philipp Krhenbhl CVPR 2018 [pdf] [details] [project] [code] Free Supervision from Video Games Philipp Krhenbhl CVPR 2018 [pdf] [details] [project] [code] 2017 Sampling Matters in Deep Embedding Learning Chao-Yuan Wu, R. Manmatha, Alexander J. Smola and Philipp Krhenbhl ICCV 2017 [pdf] [details] [project] [code] Adversarial Feature Learning Jeff Donahue, Philipp Krhenbhl and Trevor Darrell ICLR 2017 [pdf] [details] [code] 2016 Generative Visual Manipulationon the Natural Image Manifold Jun-Yan Zhu, Philipp Krhenbhl, Eli Shechtman, and Alexei A. Efros ECCV 2016 [pdf] [details] [project] [code] Context Encoders: Feature Learning by Inpainting Deepak Pathak, Philipp Krhenbhl, Jeff Donahue, Trevor Darrell and Alyosha Efros CVPR 2016 [pdf] [details] [project] [code] Learning Dense Correspondence via 3D-guided Cycle Consistency Tinghui Zhou, Philipp Krhenbhl, Mathieu Aubry, Qixing Huang and Alyosha Efros CVPR 2016 [pdf] [details] [project] Data-dependent initializations of convolutional neural networks Philipp Krhenbhl, Carl Doersch, Jeff Donahue and Trevor Darrell ICLR 2016 [pdf] [details] [code] [py-faster-rcnn training scripts] 2015 Learning a Discriminative Model for the Perception of Realism in Composite Images Jun-Yan Zhu, Philipp Krhenbhl, Eli Shechtman and Alyosha Efros ICCV 2015 [pdf] [details] [slides] [code] Learning Data-driven Reflectance Priors for Intrinsic Image Decomposition Tinghui Zhou, Philipp Krhenbhl and Alyosha Efros ICCV 2015 [pdf] [details] [slides] [code] Constrained Convolutional Neural Networks for Weakly Supervised Segmentation Deepak Pathak, Philipp Krhenbhl and Trevor Darrell ICCV 2015 [pdf] [details] [supplement] [slides] [code] Learning to propose objects Philipp Krhenbhl and Vladlen Koltun CVPR 2015 [pdf] [details] [code] 2014 Geodesic Object Proposals Philipp Krhenbhl and Vladlen Koltun ECCV 2014 (oral) [pdf] [details] [slides] [poster] [code] [data] 2013 Parameter Learning and Convergent Inference for Dense Random Fields Philipp Krhenbhl and Vladlen Koltun ICML 2013 [pdf] [details] [project] [code] 2012 Efficient Nonlocal regularization for Optical Flow Philipp Krhenbhl and Vladlen Koltun ECCV 2012 [pdf] [details] Saliency Filters: Contrast Based Filtering for Salient Region Detection Federico Perazzi, Philipp Krhenbhl, Yael Pritch and Alexander Hornung CVPR 2012 [pdf] [details] [project] [code] 2011 Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials Philipp Krhenbhl and Vladlen Koltun NIPS 2011 (best student paper) [pdf] [details] [project] [code] 2010 Gesture Controllers Sergey Levine, Philipp Krhenbhl, Sebastian Thrun, Vladlen Koltun SIGGRAPH 2010 [pdf] [details] 2009 Retargeting of Streaming Video Philipp Krhenbhl, Manuel Lang, Alexander Hornung and Markus Gross SIGGRAPH Asia 2009 [pdf] [details] Teaching CS342 - Neural networks - Fall 2017 CS395T - Deep learning seminar - Fall 2017 CS395T - Deep learning seminar - Fall 2016 Joining my research group UT CS or ECE students : Id recomment you to take my graduate deep learning class (CS395T), and start working with me throught that class. Prospective students : Please read about our graduate admissions process and state your interested in my research group in your statement of purpose. Please do not contact me directly. The statistics are not in your favor either. We have not yet admitted a single student to UTCS who contacted me directly. About my last name Im well aware that my last name is not the easiest one to write or cite (and I saw it butchered a bunch of times over the years). So to make things easier just pick your document type below and copy the string: Regular text Krhenbhl Latex & Bibtex Kr\"ahenb\"uhl HTML Krähenbühl If all the above fail, just use Kraehenbuehl . diff --git a/src/data/compiled_bios/4007.txt b/src/data/compiled_bios/4007.txt new file mode 100644 index 0000000000..a6812490b0 --- /dev/null +++ b/src/data/compiled_bios/4007.txt @@ -0,0 +1 @@ + Benjamin Kuipers News : As of January 2009, I have moved to the University of Michigan, where I am a Professor of Computer Science and Engineering in the EECS Department. New web page: http://eecs.umich.edu/~kuipers/ New email address: kuipers@umich.edu New mailing address: Professor Benjamin Kuipers University of Michigan Computer Science and Engineering 2260 Hayward Street Ann Arbor, MI 48109-2121 New phone: (734) 647-6887. diff --git a/src/data/compiled_bios/4008.txt b/src/data/compiled_bios/4008.txt new file mode 100644 index 0000000000..043b57c54d --- /dev/null +++ b/src/data/compiled_bios/4008.txt @@ -0,0 +1 @@ + Simon S. Lam ( ) Regents Chair Emeritus in Computer Science No. 1 Department of Computer Science The University of Texas at Austin 2317 Speedway, Stop D9500 Austin, Texas 78712-1757 email : lam at cs dot utexas dot edu phone : 512 471 9531 fax : 512 471 8885 office : GDC 6.826 Internal Mail Code : D9500 Major Awards Biographical sketch Curriculum Vitae ( pdf) Networking Research Laboratory Publications Research contributions with the most useful applications: 1. Invention of secure sockets andprototypeimplementation of the first secure sockets layer in 1993 -- secure sockets enabled e-commerce several years later and are also used to secure email and other Internet applications ( this work won the 2004 ACM Software System Award ) 2. Invention ofato mic predicates andalgorithmsfor scalable network verificatio n ( Software Download ) -- being re-implemented by a major technology company for verifying its cloud computing networks 2012 IEEE ICNP Keynote on Greedy Routing with Guaranteed Delivery and Low Stretch Courses taught: CS 356 (Fall 2017) CS 396M (Spring 2017) Some of my former doctoral students (in order of graduation from UT-Austin) A. Udaya Shankar (1982), Professor of Computer Science, University of Maryland at College Park C. Edward Chow (1985), Professor of Computer Science, University of Colorado at Colorado Springs Kenneth L. Calvert (1991), IEEE Fellow; Professor, Department of Computer Science, University of Kentucky; effective May 2016, on leave at the National Science Foundation as Division Director, CISE Division of Computer and Network Systems Thomas Y. C. Woo (1994), IEEE Fellow, Bell Labs Fellow; Head, Scalable Data Processing, Nokia Bell Labs Geoffrey G. Xie (1996), Professor of Computer Science, Naval Postgraduate School, Monterey, CA David K. Y. Yau (1997), Professor of Information Systems, Singapore University of Technology and Design ( previous position : Associate Professor of Computer Science, Purdue University) Y. Richard Yang (2001), Professor of Computer Science, Yale University Min Sik Kim (2005), Assistant Professor of Computer Science, Washington State University Chen Qian (2013), Assistant Professor of Computer Engineering, UC Santa Cruz Supervisor of my doctoral dissertation (1974) Leonard Kleinrock , Distinguished Professor, UCLA diff --git a/src/data/compiled_bios/4009.txt b/src/data/compiled_bios/4009.txt new file mode 100644 index 0000000000..95dba7d641 --- /dev/null +++ b/src/data/compiled_bios/4009.txt @@ -0,0 +1 @@ + "Correct reasoning is our business" Vladimir Lifschitz is a professor of computer science at the University of Texas at Austin . His research interests are in computational logic and knowledge representation. Education and Academic Genealogy Publications Teaching Other Professional Activities Honors Doctoral Students Texas Action Group Food for Thought Contact Information Office: GDC 3.808 Phone Numbers: (512) 471-9564 (Office) (512) 471-8885 (Fax) Postal address: Department of Computer Science University of Texas at Austin 2317 Speedway, Stop D9500 Austin, TX 78712-0233 USA vl@cs.utexas.edu diff --git a/src/data/compiled_bios/401.txt b/src/data/compiled_bios/401.txt new file mode 100644 index 0000000000..9f2ea0d860 --- /dev/null +++ b/src/data/compiled_bios/401.txt @@ -0,0 +1 @@ +Name: Sudborough, I Hal:: Position: Founders Professor:: Degrees: Ph.D.,Pennsylvania State University; Research Interests: Telecommunication networks; Parallel computation networks; Efficient parallel (and sequential) algorithms; Structure of complexity classes; Picture processing; Automata and formal languages; Graph/network algorithms (esp. embedding and layout problems); Combinatorial problems (esp. sorting by prefix reversals); Computational biology; diff --git a/src/data/compiled_bios/4010.txt b/src/data/compiled_bios/4010.txt new file mode 100644 index 0000000000..e61683a67e --- /dev/null +++ b/src/data/compiled_bios/4010.txt @@ -0,0 +1 @@ + Calvin Lin Professor of Computer Science University of Texas, Austin Home Honors and Awards Research Projects Publications Teaching CS178H CS378 Turing Scholars Program Project Engage! Students Joao Barbosa Jia Chen Curtis Dunham Ashay Rane Zhan Shi Kai Wang Hao Wu Akanksha Jain (PhD 2016) Oswaldo Olivo (PhD 2016) Renee St. Amant (PhD 2014) Apollo Ellis (MS 2011) Paul Navratl (PhD 2010) Karthik Murthy (MS 2010) Alison Norman (PhD 2010) Walter Chang (PhD 2010) Ben Hardekopf (PhD 2009) Teck B. Tok (PhD 2007) Adam Brown (MS 2007) Ibrahim Hur (PhD 2006) Sam Guyer (PhD 2003) Rich Cardone (PhD 2002) Daniel Jimnez (PhD 2002) Kent Spaulding (MS 1998) Frank Kuehndel (MS 1998) Personal Coach, UT Men's Ultimate Emmett! I do research in compilers and computer architecture, with interests in security. I have also written a textbook with Larry Snyder called Principles of Parallel Programming . ( Errata for the first printing.) Select Publications Fast Fine-Grained Global Synchronization on GPUs with K. Wang and D. Fussell 24th International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) 2019. Rethinking Belady's Algorithm to Accommodate Prefetching with A. Jain 45th International Symposium on Computer Architecture (ISCA), 2018, pp. 110-123. Static Detection of Asymptotic Resource Side-Channel Vulnerabilities in Web Application with J. Chen, O. Olivo, and I. Dillig Int'l Conference Automated Software Engineering (ASE) 2017. Hawkeye: Leveraging Belady's Algorithm for Improved Cache Replacement with A. Jain 2nd Cache Replacement Competition, 2017. (First Place Finisher) Decoupled Affine Computation for SIMT GPUs with K. Wang 44th International Symposium on Computer Architecture (ISCA), 2017, pp. 295--306. Secure, Precise, and Fast Floating-Point Operations on x86 Processors with A. Rane and M. Tiwari 25th USENIX Security Symposium (USENIX Security) 2016. Back to the Future: Leveraging Belady's Algorithm for Improved Cache Replacement with A. Jain 43th International Symposium on Computer Architecture (ISCA), 2016, pp. 78-89. (Micro Top Picks Honorable Mention) Detecting and Exploiting Second Order Denial-of-Service Vulnerabilities in Web Applications with O. Olivo and I. Dillig ACM Conference on Computer and Communications Security (CCS), 2015. Explorer: Query- and Demand-Driven Exploration of Interprocedural Control Flow Properties with Y. Feng, X. Wang, and I. Dillig ACM Conference on Object-Oriented Programming, Systems, Languages, and Applications (OOPSLA), 2015. Raccoon: Closing Digital Side-Channels through Obfuscated Execution with A. Rane and M. Tiwari USENIX Security Symposium, 2015. Static Detection of Asymptotic Performance Bugs in Collection Traversals with O. Olivo and I. Dillig ACM Conference on Programming Language Design and Implementation (PLDI), 2015. Linearizing Irregular Memory Accesses for Improved Correlated Prefetching with A. Jain 46th International Symposium on Microarchitecture (Micro), 2013. (Finalist, Best Paper Award) Dynamic Scheduling for Large-Scale Distributed-Memory Ray Tracing with P. Navratil, H. Childs, and D. Fussell Eurographics Symposium on Parallel Graphics and Visualization, 2012. (Best Paper Award) Flow-Sensitive Pointer Analysis for Millions of Lines of Code with B. Hardekopf International Symposium on Code Generation and Optimization (CGO), 2011, pp. 289--298. (Best Paper Award) The Ant and the Grasshopper: Fast and Accurate Pointer Analysis for Millions of Lines of Code with Ben Hardekopf ACM Conference on Programming Language Design and Implementation (PLDI), June, 2007, pp. 290-299. (Best Paper Award) Adaptive History-Based Memory Schedulers with Ibrahim Hur 37th International Symposium on Microarchitecture (Micro), December, 2004, pp. 343-354. (Best Paper Award) Neural Methods for Dynamic Branch Prediction with Daniel Jimnez ACM Transactions on Computer Systems, 20(4), November 2002. pp. 369-397. The most important thing you can do is what you're doing when you're doing it. When you study, study , and when you play, play . - Pete Carril Email: lin(at)cs.utexas.edu Office: GDC 5.512 (512) 471-9560 (512) 471-8885 (Fax) Office Hours: Mon 3:30-4:15 Wed 3:30-4:15 Last updated: February 1, 2019 diff --git a/src/data/compiled_bios/4011.txt b/src/data/compiled_bios/4011.txt new file mode 100644 index 0000000000..8f7ea228d0 --- /dev/null +++ b/src/data/compiled_bios/4011.txt @@ -0,0 +1 @@ + Qiang Liu Home Group Publications Talks/Slides Workshops Qiang Liu Qiang Liu Assistant Professor Computer Science University of Texas at Austin lqiang(at)cs.utexas.edu Office: GDC 4.806 ("Qiang" sounds like "Chee-ah-ng", and "Liu" as "l-yo") Research My research area is machine learning and statistics, with interests spreading over the pipeline of data collection (e.g., by crowdsourcing), learning, inference, decision making, and various applications using probabilistic modeling. Examples of topics of interest: probabilistic graphical models; variational and Monte Carlo inference; deep learning; deep reinforcement learning; distributed learning; big data problems; kernel and nonparametric methods; applications: crowdsourcing, vision, bioinformatics, etc. I am an action editor of Journal of Machine Learning Research (JMLR) . News Check my recent / upcoming talks and slides . Three papers accepted by NIPS 2018 I am an area chair of NIPS 2018 and ICLR 2019 I am visiting the deep learning foundations group in Microsoft research Redmond this summer (2017). Selected / Recent Publications and Slides New. Probabilistic Learning and Inference Using Stein's Method [ Project Page , slides v1 , slides v2 ] Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm Liu, Wang; NIPS, 2016. [ code ] A Kernelized Stein Discrepancy for Goodness-of-fit Tests and Model Evaluation Liu, Lee, Jordan; ICML, 2016. [code: matlab , R ] Distributed Estimation, Information Loss and Exponential Families Liu, Ihler; Advances in Neural Information Processing Systems (NIPS) 2014. Reasoning and Decisions in Probabilistic Graphical Models - A Unified Framework Liu; PhD Thesis, Fall 2014 Variational Algorithms for Marginal MAP Liu, Ihler; Journal of Machine Learning Research (JMLR) 2013. Variational Inference for Crowdsourcing Liu, Peng, Ihler; Advances in Neural Information Processing Systems (NIPS) 2012. [ Appendix , Code ] diff --git a/src/data/compiled_bios/4012.txt b/src/data/compiled_bios/4012.txt new file mode 100644 index 0000000000..b05830afff --- /dev/null +++ b/src/data/compiled_bios/4012.txt @@ -0,0 +1 @@ + Risto Miikkulainen Professor of Computer Science and Neuroscience , the University of Texas at Austin Director of the UTCS Neural Networks Research Group Co-founder of Digital Certainty, Inc. (acquired by Sentient Technologies ) A Short Bio Risto Miikkulainen is a Professor of Computer Science at the University of Texas at Austin and CTO of Sentient Technologies. He received an M.S. in Engineering from the Helsinki University of Technology (now Aalto University) in 1986, and a Ph.D. in Computer Science from UCLA in 1990. His current research focuses on methods and applications of neuroevolution, as well as neural network models of natural language processing and vision; he is an author of over 380 articles in these research areas. Honors and Awards Gabor Award , the International Neural Network Society, 2017 Outstanding Paper of the Decade Award, International Society for Artificial Life, 2017. IEEE Fellow, 2016 IEEE Computational Intelligence Society Distinguished Lecturer, 2015-2017 . Best Paper Awards at GECCO-2002, 2003, 2005, 2007, 2008, 2014, 2015, 2017 Best Paper Awards at CIG-2005, 2006, 2009, 2011 Deployed Application Award, AAAI/IAAI-2013, AAAI/IAAI-2018 BotPrize Award (Turing test for game bots), 2012 Honorable mention, Ziskind-Somerfield Research Award, Society of Biological Psychiatry, 2012 Winner, Annual Competition of Pseudo-Boolean SAT Solvers at SAT-2010 and SAT-2011 Bronze Medal, Human Competitive Results Competition, GECCO-2005, GECCO-2017 Research My research focuses on biologically-inspired computation such as neural networks and evolutionary computation. On one hand, the goal is to understand biological information processing, and on the other, to develop intelligent artificial systems that learn and adapt by observing and interacting with the environment. The three main focus areas are: (1) Neuroevolution, i.e. evolving complex deep learning architectures and recurrent neural networks for sequential decision tasks such as those in robotics, games, and artificial life; (2) Cognitive Science, i.e. models of natural language processing, memory, and learning that, in particular, shed light on disorders such as schizophrenia and aphasia; and (3) Computational Neuroscience, i.e. development, structure, and function of the visual cortex, episodic memory, and language processing. See the UTCS Neural Networks Research Group website for research projects, publications, demos, and software. A few highlights: TexasExes interview/skit on artificial evolution; O'Reilly Radar Podcast on evolutionary computation; Digital Nibbles interview on BotPrize (i.e. Turing test for game bots); a 2-min soundbite on neuroevolution; the NERO machine learning game; an interactive demo of schizophrenic language model ; the Computational Maps in the Visual Cortex book. Classes CS343 Artificial Intelligence (undergraduate class), Fall 2018 CS394N Neural Networks (graduate class), Fall 2018 CS342 Neural Networks (undergraduate class) CS378 CI in Game Design Part I ; Part II (undergraduate research class) CS395T Cognitive Science (graduate seminar) Curriculum Vitae Contact Office: GDC 3.826 ( Meeting Schedule ) Email address: risto@cs.utexas.edu Phone: (512) 471-9571; Fax: (512) 471-8885 Department of Computer Science, The University of Texas at Austin 2317 Speedway, Stop D9500, Austin, TX 78712 USA risto@cs.utexas.edu Thu Jun 28 04:34:41 CDT 2018 diff --git a/src/data/compiled_bios/4013.txt b/src/data/compiled_bios/4013.txt new file mode 100644 index 0000000000..bf73c3130b --- /dev/null +++ b/src/data/compiled_bios/4013.txt @@ -0,0 +1 @@ + Professor Daniel P. Miranker Home About Me Contact Short Bio Students Publications Selected By Year By Topic Patents Research Current Past Rules Teaching CS347 Fall '12 EE382V Fall '11 CS395T Spring '10 . This Web Site is Under Construction Affiliations Department of Computer Science The Institute for Cell and Molecular Biology The Center for Computational Biology and Bioinformatics The University of Texas at Austin Research Interests Bioinformatics, The Semantic Web , Ontologies and Data Integration, Intelligent Information Systems, Big Data Access Methods My Semantic Web projects concern data integration, the automated mapping of legacy relational databases to the Semantic Web, In Bioinformatics my specific current projects concern comparative RNA sequence analysis and Big Data methods applied to genome sequencing Links: The Miranker Laboratory NSF IIS Project: Linked Data and The Automatic Integration of Relational Data Past Research Recent papers Selected papers The Latest Paper(s): "OBO & OWL: Roundtrip Ontology Transformations", to appear in the inaugeral issue of BMC Journal of Biomedical Semantics. To be presented at the workshop on Semantic Web Applications and Tools for Life Sciences, (SWAT4LS) , abstract, preprint request . "Mining gene functional networks to improve mass-spectrometry based protein identification ", Bioinformatics, 2009. Supporting web site, MSNET Quick Links Teaching CS347 Fall '12 EE382V Fall '11 CS395T Spring '10 Databases OPD, (Open Proteomics DB) rCAD, (RNA) Ontobrowser Web Services OBO <-> OWL Translation MSFound diff --git a/src/data/compiled_bios/4014.txt b/src/data/compiled_bios/4014.txt new file mode 100644 index 0000000000..91b5e776d5 --- /dev/null +++ b/src/data/compiled_bios/4014.txt @@ -0,0 +1 @@ + Jayadev Misra Schlumberger Centennial Chair Emeritus in Computer Science University Distinguished Teaching Professor Emeritus Mailing Address, Phone, Fax, Email Jayadev Misra Dept. of Computer Science The University of Texas at Austin 2317 Speedway, Mail Stop D9500 Austin, Texas 78712-1757 Voice: 512-471-9550 Fax: 512-471-8885 email: "The shorter one of my first and last names"@utexas.edu This Home Page: http://www.cs.utexas.edu/users/misra Education B.Tech. (1969), Indian Institute of Technology, Kanpur, India Ph.D. (1972), Johns Hopkins University, Baltimore, Maryland Awards, Honors Member, National Academy of Engineering, 2018. Member, TAMEST (The Academy of Medicine, Engineering and Science of Texas), 2018. Harry H. Goode Memorial Award, IEEE, 2017 (jointly with K. Mani Chandy). Doctor Honoris Causa, Ecole Normale Superieure de Cachan, France, 2010. Regents' Outstanding Teaching Award, University of Texas, 2010. Distinguished Teaching Professor, University of Texas at Austin, 2009. Identified as a ``highly cited researcher'' by Thomson Reuters ISI, 2004. ACM Fellow, 1995. IEEE Fellow, 1992. John Simon Guggenheim Fellow, 1989. Distinguished alumnus, I.I.T., Kanpur, 2014. Chair, Computer Science Dept., UT, Austin, 1994-1997. Summary of Research, Research Group My interest is in applying formal methods in practice, particularly in the specifications and designs of concurrent systems. My current research focusses on the design of a concurrent programming language, Orc. See http://orc.csres.utexas.edu Publications and Speeches Verfied Software: Theories, Tools and Experiments. A joint project with Tony Hoare. The Orc Project, a system for orchestrating concurrent and distributed computations Selected Publications and Books Notes on UNITY Unpublished Short Notes Texts of Speeches Slides used in Presentations Teaching I retired as of Sept. 1, 2015. I used to teach: CS 336 (Analysis of Algorithms) Class Handouts and Tests and Solutions CS 337 (Theory in Programming Practice) Class Handouts and Tests and Solutions and Other CS 380D (Distributed Computing) Class Home page for Fall 2009 diff --git a/src/data/compiled_bios/4015.txt b/src/data/compiled_bios/4015.txt new file mode 100644 index 0000000000..8d4dbf8432 --- /dev/null +++ b/src/data/compiled_bios/4015.txt @@ -0,0 +1 @@ + Shyamal Mitra Department of Computer Science University of Texas at Austin Classes ( Spring 2019 ) Department of Computer Science CS 313E: Elements of Software Design CS 329E: Elements of Web Programming Course Related Links Department of Computer Science The University of Texas at Austin Getting a CS Account Canvas CLIPS UT ITS Help Desk UT Learning Center Counseling and Mental Health Center Java Links Java website at Oracle Download Java 2 Standard Edition Version 8 Tutorial on Java Documentation on Java Standard Coding Conventions in Java Eclipse IDE BlueJ Home Page Misc Links Wikipedia Science Cartoons DIIA Assessment Showcase Power and Impact of the Web Careers in Computing Elements Program CS Bootcamp 2013 Salary Survey UT ACM-ICPC Programming Club Astronomy Links Web Security Solar System Moons Contact Information POSTAL Computer Science Department, D9500 University of Texas at Austin Austin TX 78712 USA OFFICE GDC 6.320 VOICE +1 512.471.9708 FAX +1 512.471.8885 Last modified: 06 Jun 2018 Shyamal Mitra mitra@cs.utexas.edu diff --git a/src/data/compiled_bios/4016.txt b/src/data/compiled_bios/4016.txt new file mode 100644 index 0000000000..6ae4ca68ad --- /dev/null +++ b/src/data/compiled_bios/4016.txt @@ -0,0 +1 @@ + Aloysius K. Mok Professor Quincy Lee Centennial Professor in Computer Sciences B.S. in Electrical Engineering (1977), M.S. (1977), Ph.D. (1983) Massachusetts Institute of Technology Professional Service Associate Editor, Real Time Systems: The International Journal of Time-Critical Computing Systems , present Editorial Board, International Journal of Formal Methods in System Design , present Vice-Chair, IEEE Technical Committee on Real-Time Systems, 1993 Chair, IEEE Technical Committee on Real-Time Systems, 1995-96 Working Group on Real-Time Programming, International Federation of Automatic Control, present Areas of Interest Fault-tolerant hard-real-time systems, system architecture, computer-aided system design tools, and software engineering Summary of Research I am currently conducting fundamental research in the area of distributed real-time systems. My primary concerns include specification techniques for real-time systems, algorithms for guaranteeing stringent timing constraints and understanding the trade-off between the robustness and response times of time-critical systems. The goal is to develop a formal framework for automating the analysis and synthesis of robust real-time systems. Application areas include robot control systems, avionics software and industrial process control systems. Funding is being provided by the Office of Naval Research to develop a highly automated design environment for real-time systems. Go to UT Real-Time Systems Group diff --git a/src/data/compiled_bios/4017.txt b/src/data/compiled_bios/4017.txt new file mode 100644 index 0000000000..e0d88d28df --- /dev/null +++ b/src/data/compiled_bios/4017.txt @@ -0,0 +1 @@ + Raymond J. Mooney Professor of Computer Science , The University of Texas at Austin Director of the UT Artificial Intelligence Laboratory B.S. in Computer Engineering , University of Illinois at Urbana/Champaign , 1983 M.S. in Computer Science , University of Illinois at Urbana/Champaign , 1985 Ph.D. in Computer Science , University of Illinois at Urbana/Champaign , 1988 Research Teaching Personal Contact Note to Grad-Student Applicants Research Interests and Publications As a member of the Artificial Intelligence Laboratory I lead the Machine Learning Research Group which has explored a variety of areas, but my current focus is on natural language processing / computational linguistics. Recent Publications: Here are my publications for 2018 , 2017 , 2016 , and 2015 . Primary Research Areas (click on an area for related publications): Natural Language Learning : Learning for syntactic and semantic parsing, lexicon acquisition, information extraction, language generation, machine translation, and word sense disambiguation. Connecting Language and Perception : Grounding natural language understanding in computer vision and robotics. Statistical Relational Learning : Learning methods that combine the strengths of predicate logic and probability. Information Extraction : Identifying specific pieces of structured data in web pages or natural-language documents. Transfer Learning : Using previously acquired knowledge to aid learning on new related problems. Active Learning : Automated selection of good training examples for supervised or semi-supervised learning. Abductive Reasoning : Producing the best explanation for observed evidence using both logical and probabilistic reasoning. Text Categorization and Clustering : Supervised and unsupervised classification of documents and web pages. Text Data Mining : Discovering knowledge from text using information extraction and rule induction. Record Linkage & Duplicate Detection : Identifying textually similar but distinct database records that refer to the same entity. Bioinformatics : Learning to extract knowledge from biomedical literature. Semi-Supervised Learning : Learning from a mixture of labeled and unlabeled data. Ensemble Learning : Learning effective committees of hypotheses. Learning for Recommender Systems : Content-based and collaborative recommending. Inductive Logic Programming : Learning Prolog programs (rules in first-order predicate logic) from examples. Knowledge-Base and Theory Refinement : Automatically modifying rule bases and Bayesian networks to fit empirical data. For a complete list of areas and publications, see the UT Machine Learning Research Group home page. Also see my profile on Google Scholar . Current Research Group Meetings: NLL : Natural Language Learning CLAMP : Connecting Language and Perception Text2Animation : Generating graphics animations from natural language NL4SE : Natural Language for Software Engineering XAI : Explainable AI Additional Affiliations: I am also a member of the UT Computational Linguistics Lab . I am also affiliated with the UT Department of Statistics and Data Science . I am also affiliated with the UT Center for Computational Biology and Bioinformatics . I was President of the International Machine Learning Society from 2008-2011. I was program co-chair (with Yolanda Gil ) of the Twenty-First National Conference on Artificial Intelligence (AAAI-06) in Boston, July 16-20, 2006. I was general chair of the joint Human Language Technology Conference / Empirical Methods in Natural Language Processing Conference for 2005 (HLT/EMNLP-05) . I was elected a Fellow of the American Association for Artificial Intelligence (AAAI) in 2005 "For significant contributions to machine learning, particularly explanation-based learning, theory refinement, and learning for natural-language processing." I was elected a Fellow of the Association for Computing Machinery (ACM) in 2010 "For contributions to machine learning and natural language processing." I was elected a Fellow of the Association for Computational Linguistics (ACL) in 2014 "For significant contributions to machine learning for semantic parsing, language generation, and multimodal integration." Vita: See my complete vita (in PDF). Research Talks: See a video of my invited talk on "The Deep Learning Revolution: Progress, Promise and Profligate Promotion" at Computing in the 21st Century 2017 . See videos of my invited talks on grounded language learning at Cornell Tech (2017) , NIPS 2015 Multimodal Machine Learning Workshop , and AAAI-2013 . Also see my research talks on Deep Natural Language Semantics and Generating Natural-Language Video Descriptions Using Text-Mined Knowledge , as well as Powerpoint presentations for some of my older talks . Course Information Spring 2019 CS 395T: Grounded Natural Language Processing Fall 2018 CS 371R: Information Retrieval and Web Search Spring 2018 CS 388: Natural Language Processing Fall 2010 CS 343: Artificial Intelligence Spring 2009 CS 178H: Introduction to CS Research Fall 2007 CS 391L: Machine Learning Personal History I grew up in the 60's and 70's in the small town of O'Fallon Illinois where starting in 1967 I attended St. Clare grade school and, starting in 1975, O'Fallon Township Highschool . See a scanned version of a paper I wrote (on a typewriter!) for a high-school English class when I was only 17 years old entitled "High-level Artificial Intelligence: An Imminent Possibility with an Enormous Potential for Good" . My enthusiasm for AI started early and has not waned; however, my expections about AI's rate of progress and its positive social implications have matured and (hopefully) become more realistic. In the fall of 1979, I went to the University of Illinois in Champaign - Urbana to obtain all of the degrees listed above. In December 1987, I completed my Ph.D. thesis under the direction of Prof. Gerald DeJong and then began as a faculty member here in the Department of Computer Science at the University of Texas at Austin where I am enjoying the beginning of the fourth decade of a hopefully long academic career. See more information on my academic genealogy , which traces my professorial lineage back through Danish Linguists to German Theologians. Contact Information Office: 3.512 GDC , (512) 471-9558 Email address: mooney@cs.utexas.edu Fax: (512) 471-8885 Postal address: Department of Computer Science The University of Texas at Austin 2317 Speedway, Stop D9500 Austin , Texas 78712-1757 U.S.A. Home address: 4707 Eby Lane Austin , Texas 78731-4507 U.S.A. Note to Potential Grad-Student and Internship Applicants Unfortunately, I am unable to personally respond to email requests regarding application to our graduate program or other solicitations for positions in my research lab. I encourage potential graduate-student applicants to see the department information on applying to our graduate program . Graduate-student applicants interested in my research are encouraged to clearly state such interests in their "statement of purpose." I am afraid I currently have no funding or capacity to advise summer internships. mooney@cs.utexas.edu diff --git a/src/data/compiled_bios/4018.txt b/src/data/compiled_bios/4018.txt new file mode 100644 index 0000000000..2b28892cbd --- /dev/null +++ b/src/data/compiled_bios/4018.txt @@ -0,0 +1 @@ + J Strother Moore Admiral B.R. Inman Centennial Chair Emeritus in Computing Theory, Department of Computer Science Department Administrative Office and Mailing Address Gates Dell Center, 2317 Speedway, 2.302 University of Texas at Austin Austin, TX 78701 U.S.A. Email: Moore at cs dot utexas dot edu Home Page: http://www.cs.utexas.edu/users/moore Office: GDC 7.802 Fax: 512 471-8885 C lasses E ducation H onors `` M y'' Best Ideas P ublications E mployment P ersonal R esearch A CL2 Home Page CV (pdf) Brief Biography Theorem Proving Cartoon Moore@cs.utexas.edu Computer Sciences Department, University of Texas at Austin. diff --git a/src/data/compiled_bios/4019.txt b/src/data/compiled_bios/4019.txt new file mode 100644 index 0000000000..d3e2ab998d --- /dev/null +++ b/src/data/compiled_bios/4019.txt @@ -0,0 +1 @@ + Dana Moshkovitz [ ] I am an associate professor at the Computer Sciencedepartment of UT Austin . Im part of the theory group . I have a broad interest in Theoretical Computer Science, with a focuson Probabilistically Checkable Proofs (PCP), Pseudo-randomness, Coding theory and Algorithms. Heres a semi-popular article I wrote about PCP for XRDS . PCP-inspired word games are available here . Publications Students Courses Bio Service Outreach Presentations Contact Info Dana Moshkovitz Office: GDC 4.432 Phone: +1 (512) 471-3905 Email: danama at cs.utexas.edu Administrative Assistant Kathryn Murphy Office: GDC 4.318 Phone: +1 (512) 471 9515 Email: kmurphy at cs.utexas.edu UT Austin: Theory seminar Q&A: Theoretical Computer Science Stack Exchange Math Overflow Archives: ECCC ArXiv Web-Logs: Computational Complexity Blog In Theory (Luca Trevisan's Blog) Shtetl Optimized (Scott Aaronson's Blog) diff --git a/src/data/compiled_bios/402.txt b/src/data/compiled_bios/402.txt new file mode 100644 index 0000000000..73d0ccc62a --- /dev/null +++ b/src/data/compiled_bios/402.txt @@ -0,0 +1 @@ +Name: Thuraisingham, Bhavani:: Position: Louis A. Beecherl Jr. Distinguished Professor:: Degrees: D.Eng., 2011, University of Bristol, England, 2011; Ph.D., Theory of Computation and Computability Theory, University of Wales, Swansea, UnitedKingdom, 1979; M.S., Computer Science, University of Minnesota, 1984; M.Sc., Mathematical Logic and Foundations of Computer Science, University of Bristol, UnitedKingdom, 1977; B.Sc., Pure Mathematics, Applied Mathematics, and Physics, University of Ceylon, 1975; Major Honors and Awards: TERNALBest paper award, IEEE Conference on Systems Sciences, 1988 on Secure Query Processing; Strategies (Invited paper published in IEEE Computer, March 1989); Recipient of IEEE Computer Societys 1997 Technical Achievement Award for contributions tosecure distributed database management. As cited by IEEE, this award is given to individualswho have made outstanding and innovative contributions in the field of computer and informationscience and engineering within the past 15 years.; IEEE Senior Member 1997 (now a Fellow); Recipient of Career Communication Inc.s National 2001 Woman of Color Technology ResearchLeadership Award; Featured in SiliconIndias May 2002 issue as one of the top seven technology innovators (theonly woman) in USA of South Asian origin (others are from Stanford, Berkeley, MIT, NASA,PARC and HP Labs). The innovation was for data and web security.; Recipient of IEEEs 2003 Fellow Award for Contributions to Secure Systems involvingdatabases, distributed systems and the web. As stated by IEEE, each year, following a rigorousevaluation procedure, the IEEE Fellow Committee recommends a select group of recipients forone of the Institutes most prestigious honors, election to IEEE Fellow.; Recipient of AAAS (American Association for the Advancement of Science) 2003 Fellow Awardfor Outstanding and Innovative Contributions to Secure Database Systems and Secure WebInformation Systems; Recipient of British Computer Society (BCS) 2005 Fellow Award for contributions toinformation technology; IEEE Distinguished Lecturer, 2002-2005; 2010 Research Leadership Award for Outstanding and Sustained Leadership Contributions to theField of Intelligence and Security Informatics presented jointly by the IEEE IntelligentTransportation Systems Societys Technical Committee on Intelligence and Security Informaticsin Transportation Systems and the IEEE Systems, Man and Cybernetics Societys TechnicalCommittee on Homeland Security; 2010 ACM SIGSAC Outstanding Contributions Award for seminal research contributions andleadership in data and applications security for over 25 years; 2010 ACM Distinguished Scientist; 2011 AFCEA (Armed Forces Communications and Electronics Association) Medal of Merit forService to AFCEA and Sustained Professional Excellence in Communications, Electronics,Intelligence and Information Systems; Recipient of 2011 SDPS (Society for Design and Process Science) Fellow Award for Transdisciplinaryresearch in cyber security; Recipient of 2011 Society of Information Reuse and Integration (Subcommittee of IEEE Systems,Man and Cybernetics Society) Fellow Award for outstanding research contributions andleadership in Secure Knowledge Management; Recipient of 2012 SDPS Transformative Achievement Gold Medal for Trans-disciplinaryResearch in Cyber Security; Best paper award at the IEEE ICTAI Conference, 2013; Dallas Business Journal2017 Women in Technology Award.; Top 15 Cyber Security Professors named by Forensics Colleges, December 2013; Association for Computing Machinery (ACM) Fellow, 2018; National Academy of Inventors (NAI) Fellow, 2018; TERNALMITRE Program Achievement Awards 1997 (AWACS), 2002 and 2005 (IRS Research Credit); MITRE Directors Awards 1997 (Data Mining), 1997 (Distributed Objects); MITRE Author of the Month Award (1997, 1999); Honeywell Computer Sciences Center Employee of the Month Award (April 1987); Control Data Corporation, Arden Hill Programming Division, CDCNET Award (September1985); NSF Program Awards (ITR 2003, Cyber Trust 2005); Louis A. Beecherl, Jr. I Distinguished Professorship in the Erik Jonsson School of Engineeringand Computer Science, The University of Texas at Dallas, 2010; UTD Author Receptions (2007, 2008, 2009, 2010, 2011) for 5 books published while at UTD; UTD Invention Disclosure Awards, April 2010; UTD Invention Disclosure and Tech Transfer Award, November 2010; diff --git a/src/data/compiled_bios/4020.txt b/src/data/compiled_bios/4020.txt new file mode 100644 index 0000000000..3f6f966a05 --- /dev/null +++ b/src/data/compiled_bios/4020.txt @@ -0,0 +1 @@ + Dr. Maggie Myers Classes Spring 2010 SSC 385 Modern Statistic Methods Some useful formulae Fall 2009 SSC384: Bayesian Statistical Methods Syllabus (PDF) CS336: Analysis of Programs diff --git a/src/data/compiled_bios/4021.txt b/src/data/compiled_bios/4021.txt new file mode 100644 index 0000000000..aebb256cc3 --- /dev/null +++ b/src/data/compiled_bios/4021.txt @@ -0,0 +1 @@ + Scott Niekum University of Texas at Austin // Department of Computer Science Home Research Publications Teaching Students CV I am an Assistant Professor and the director of the Personal Autonomous Robotics Lab (PeARL) in the Department of Computer Science at the University of Texas at Austin . I am also a core faculty member in the interdepartmental robotics group at UT. The goal of my research is to enable personal robots to be deployed in the home and workplace with minimal intervention by robotics experts. In settings such as these, robots do not operate in isolation, but have continual interactions with people and objects in the world. With this in mind, we focus on developing algorithms to solve problems that robot learners encounter in real-world interactive settings. Thus, our work draws roughly equally from both machine learning and robotics, including topics such as learning from demonstration, manipulation, probabilistic safety, human-robot interaction, and reinforcement learning. Recent News 12/8/18 Our new paper on Machine Teaching for Inverse Reinforcement Learning: Algorithms and Applications will appear at AAAI 2019. 10/4/18 Two new CoRL 2018 papers now available: Efficient Hierarchical Robot Motion Planning Under Uncertainty and Hybrid Dynamics and Risk-Aware Active Inverse Reinforcement Learning . 3/23/18 I was awarded the 2018 NSF CAREER Award . 1/12/18 Two ICRA 2018 papers accepted on Active Reward Learning from Critiques and Incremental Task Modification via Corrective Demonstrations . 11/9/17 Two new AAAI 2018 papers accepted on Efficient Probabilistic Performance Bounds for Inverse Reinforcement Learning and Safe Reinforcement Learning via Shielding . 8/6/17 New ICML 2017 paper now available, showing a novel and efficient method for off-policy evaluation: Data-Efficient Policy Evaluation Through Behavior Policy Search . 7/30/17 Our team UT Austin Villa won third place in the 2017 Robocup@Home Domestic Standard Platform League in Nagoya, Japan. And we got a shiny trophy ! 6/22/17 We have five workshop papers at RSS 2017 on active inverse reinforcement learning , human mental modeling , incremental learning from demonstration , hybrid POMDP planning , and visually grounding spatial relationships . 6/14/17 Two papers accepted to IROS 2017 on Viewpoint Selection for Visual Failure Detection and Error Correction for Brain-Computer Interfaces . 5/12/17 Our AAMAS 2017 paper shows how to perform safe policy evaluation more efficienty: Bootstrapping with Models: Confidence Intervals for Off-Policy Evaluation . Assistant Professor University of Texas at Austin Department of Computer Science Email: sniekum@cs.utexas.edu Office: GDC 3.404 Copyright Scott Niekum diff --git a/src/data/compiled_bios/4022.txt b/src/data/compiled_bios/4022.txt new file mode 100644 index 0000000000..221bdca6bb --- /dev/null +++ b/src/data/compiled_bios/4022.txt @@ -0,0 +1 @@ + Alison N. Norman Office: GDC 6.310 Email: ans@cs.utexas.edu Mailing Address: The University of Texas at Austin Computer Science Department 2317 Speedway, Stop D9500 Austin, Texas 78712 I am an Associate Professor of Instruction in The University of Texas at Austin Computer Science Department. I received both my M.S. in computer science and my Ph.D. in computer science from this department. Since then, I have been fortunate enough to spend my days teaching systems to undergraduates and performing outreach to underserved communities. My research interests lie in the intersection of supercomputing and program analysis with a special interest in static techniques to improve checkpointing. I am also interested in large-scale simulation. I received my B.S. in Computer Science from Georgia Tech . Here is my undergraduate website. Courses, Spring 2019 CS439: Principles of Computer Systems CS103F: Ethical Foundations of Computer Science Outreach Hour of Code Coding in the Classroom First Bytes 2018 Code Longhorn 2018 Want to Keep Learning? Sites for Learning to Code at Home LEGO Robot Post-Survey Kano Kit Post-Survey Publications diff --git a/src/data/compiled_bios/4023.txt b/src/data/compiled_bios/4023.txt new file mode 100644 index 0000000000..d5268d5e8d --- /dev/null +++ b/src/data/compiled_bios/4023.txt @@ -0,0 +1 @@ + Gordon S. Novak Jr. A better picture: surrounded by beautiful women. Support Free Speech on the Internet! "Free speech not only lives, it rocks!" -- Oprah Winfrey Professor of Computer Science at The University of Texas at Austin and member of the Artificial Intelligence Laboratory. Research: Automatic Programming by reuse of generic algorithms Solving Physics Problems that are specified informally Publications Curriculum Vitae Free Software: Conversion of Units of Measurement Scheme Tutor TMYCIN: an expert system shell similar to EMYCIN. Software Demos: Math / Physics Solver: answer simple math and physics questions stated in English. Unit Conversion Demo: convert units of measurement. Classes: CS 307: Foundations of Computer Science CS 314: Data Structures CS 343: Artificial Intelligence CS 375: Compilers CS 378: Symbolic Programming CS 381K: Artificial Intelligence CS 394P: Automatic Programming UT Orange No. 1 Tower Rocky Mountain National Park: The High Peaks Web Links University of Texas at Austin Gordon S. Novak Jr. Dept. of Computer Science 2317 Speedway, Stop D9500 Austin, Texas 78712 USA +1 512.471.9569 (my office) GDC 3.824 +1 512.471.7316 (CS office) +1 512.471.8885 FAX http://www.cs.utexas.edu/users/novak Font test: " & ' < > | email: last-name at cs dot utexas dot edu diff --git a/src/data/compiled_bios/4024.txt b/src/data/compiled_bios/4024.txt new file mode 100644 index 0000000000..beea04e768 --- /dev/null +++ b/src/data/compiled_bios/4024.txt @@ -0,0 +1 @@ + Simon Peter Department of Computer Science, The University of Texas at Austin Office: GDC 6.430 Contact Department of Computer Science The University of Texas at Austin 2317 Speedway, Stop D9500 Austin, TX 78712 USA simon@cs.utexas.edu About me I am an assistant professor in the Computer Science department at UT Austin, since January 2016. I am always looking for talented graduate students. If you are interested, please apply to the UTCS graduate program . I graduated with a Ph.D. (Dr. sc. ETH) in Computer Science at the Swiss Federal Institute of Technology, Zurich, in October 2012. Prior to that I graduated (Dipl.-Inf.) from the Carl-von-Ossietzky University of Oldenburg, Germany in 2006 with a major in Computer Science and a minor in Music. Before my position as assistant professor at UT Austin, I was a post-doc at the University of Washington with Tom Anderson and Arvind Krishnamurthy, from 2012 to 2015. I am one of the founding authors of the Barrelfish multicore operating system. Students I have the honor to be advising a number of exceptional graduate students. Here they are: Amanda Austin Ming Liu (at UW) Syed Akbar Mehdi Tim Stamler Graduated students (and where they went): Antoine Kaufmann, Ph.D. (MPI-SWS) Youngjin Kwon, Ph.D. (KAIST) Cody Littley, MSc (Nutanix) Dhathri Purohith, MSc (Nutanix) Research My research interests are in Operating Systems and Networks. My current research projects are: FlexNIC: a NIC architecture and network stack for data centers (publications on the Arrakis website) Strata: A Cross Media File System Memory management for heterogeneous memory systems Improving data center energy efficiency via heterogeneous server architectures Teaching Spring 2019: Multicore Operating Systems Implementation (378) Fall 2018: Data Centers (395T) Spring 2018: Multicore Operating Systems Implementation (378) Spring 2017: Multicore Operating Systems Implementation (378) Fall 2016: Multicore Operating Systems Implementation (395T) Fall 2014: PMP Graduate Operating Systems (CSEP551) , together with Andrew Baumann (MSR) at UW Vita and Publications Please, read my CV . It has all of the information and I keep it updated. I also have a Google Scholar page , if you prefer a quick overview of my publications, but it typically lags behind my CV. Personal Apart from CS, I enjoy making and listening to music. I used to play the violin and compose electronic music on the computer. The advent of reasonably precise DJ controllers recently allow me to resurrect many of the old sounds in new ways . I enjoy going skiing in the winter and hiking in the summer. When I'm not doing any of the above, you'll probably find me dancing Lindy Hop . In my teenage years, I used to be active in the Demoscene , a computer art subculture and I have fond memories of the good old times. I was born in Oldenburg, situated in north-west Germany, and enjoyed living a good deal of my youth in the cozy area of Bad Zwischenahn. diff --git a/src/data/compiled_bios/4025.txt b/src/data/compiled_bios/4025.txt new file mode 100644 index 0000000000..3501181839 --- /dev/null +++ b/src/data/compiled_bios/4025.txt @@ -0,0 +1 @@ + Keshav Pingali W.A."Tex" Moncrief Chair of Grid and Distributed Computing Professor, Department of Computer Science , University of Texas, Austin Professor, Institute for Computational Engineering and Sciences , University of Texas, Austin Contact Information Office: 4.126A, ACES Building, University of Texas, Austin 78712-0233. Phone: Voice: 512- 232-6567 Fax: 512-471-8885 Mailing address: Institute for Computational Engineering & Sciences POB Building, Room 4.126A 201 E. 24th St. Stop C0200 The University of Texas at Austin Austin, TX 78712-1229 Email: pingali AT cs.utexas.edu Education B.Tech., Indian Institute of Technology, Kanpur, India, 1978 S.M., E.E., Massachusetts Institute of Technology, Cambridge,MA, 1983 ScD, Massachusetts Institute of Technology, Cambridge, MA, 1986 Honors IIT Kanpur Distinguished Alumnus Award 2013 Fellow of the ACM 2012 Fellow of the American Association for the Advancement of Science (AAAS) 2010 Fellow of the IEEE 2010 W.A."Tex" Moncrief Chair of Grid and Distributed Computing, University of Texas at Austin, 2006-present India Chair of Computer Science, Cornell University, 2003-2006 N. Rama Rao Professor, Indian Institute of Technology, Kanpur, 2000 Russell Teaching Award, College of Arts and Sciences, Cornell University, 1998 Ip-Lee Teaching Award, Collge of Engineering, Cornell University, 1997 NSF Presidential Young Investigator Award, 1989-1994 IBM Faculty Development Award, 1986-1988 President's Gold Medal, Indian Institute of Technology, Kanpur, India, 1978 Lalit Narain Das Gold Medal, Indian Institute of Technology, Kanpur, India, 1978 National Science Talent Scholar, India, 1973 Research Interests I work in programming languages and compiler technology for program understanding, optimization, and parallelization. My current research interests are methodologies and tools for programming multicore processors, with a focus on irregular applications from domains like graphics, social networks, and data mining. Research Group Home Page: http://iss.ices.utexas.edu/ Recent Keynote Lectures Plenary keynote speaker, HPCA/PPoPP/CGO, Barcelona, March 2016. 50 Years of Parallel Programming: Ieri,Oggi,Domani Keynote speaker, ParCo 2015, September 2015. Keynote speaker, SAMOS 2015, July 2015. Keynote speaker, ETAPS 2015, April 2015. Cray Lecture, University of Minnesota, MN, March 2015. Department of Computer Science, University of California, Irvine, CA, January 2015. Data Institute, Imperial College, London, UK, January 2015. Keynote speaker, Workshop on Compilers for Parallel Computing (CPC), January 2015. Department of Computer Science, University of California, Riverside, CA, February 2014. Department of Computer Science, Indiana University, Bloomington, IN, November 2013. Department of Computer Science, Texas A&M University , College Station, TX, October 2013. Department of Computer Science, University of Illinois, Urbana-Champaign, IL, September 2013. Swedish Multicore Day , Stockholm, Sweden, September 2013. Department of Computer Science, Tsinghua University, Beijing, China, January 2013. ACM Symposium on Principles and Practice of Parallel Programming (PPoPP/HPCA) New Orleans, February 2012. High-performance and Embedded Architectures and Compilers (HIPEAC) Paris, January 2012. International Workshop on Polyhedral Compilation Techniques (IMPACT) Paris, January 2012. Department of Computer Science, University of Utah School of Computing Salt Lake City, October 2011. Parallel Architectures and Compilation Techniques (PACT) Vienna, September 2010. External service Program chair, ACM Symposium on Programming Language Design and Implementation PLDI 2014 Steering Committee chair, ACM Symposium on Principles and Practice of Parallel Programming (PPoPP) , 2003-2013 co-Editor-in-chief, ACM Transactions on Programming Languages and Systems (TOPLAS) 2007-2010 Member, Editorial board, International Journal of Parallel Programming 1998- Member, Editorial board, Distributed Computing , 2011- Board member, Research I Foundation, Indian Institute of Technology, Kanpur , India, 2003- NSF Committee of Visitors 2009 NSF CISE Advisory Committee 2009-2012 Teaching Fall 2016: CS 380C: Advanced Topics in Compilers Spring 2017: CS 377P: Programming for Performance Fall 2017: CS395T: Program Synthesis for Heterogeneous Parallel Computers Spring 2018: CS377P: Programming for Performance Spring 2019: CS377P: Programming for Performance diff --git a/src/data/compiled_bios/4026.txt b/src/data/compiled_bios/4026.txt new file mode 100644 index 0000000000..9ef04ee44d --- /dev/null +++ b/src/data/compiled_bios/4026.txt @@ -0,0 +1 @@ + Email: plaxton@cs.utexas.edu Phone: (512) 471-9751 Fax: (512) 471-8885 Home Courses Publications PhD Students Contact Info Greg Plaxton Home Nathaniel Plaxton, 2010 Victoria Plaxton, 2010 University of Texas at Austin, 1997 Freshman year, University of Toronto, 1981 Greg Plaxton is a professor of Computer Science at the University of Texas at Austin. His research addresses the design and analysis of efficient algorithms for various basic computational problems, including problems related to matching, scheduling, sorting, and clustering. Education Ph.D. 1989, Stanford University B.A.Sc. 1985, University of Toronto Created by Gu & Cheek, Father's Day 2010 diff --git a/src/data/compiled_bios/4027.txt b/src/data/compiled_bios/4027.txt new file mode 100644 index 0000000000..60fe12e855 --- /dev/null +++ b/src/data/compiled_bios/4027.txt @@ -0,0 +1 @@ + UTCS Home Bruce W. Porter Professor Department of Computer Science University of Texas at Austin Research My research and teaching focuses on machine reading. This technology holds tremendous potential for capturing knowledge for automated inference, question answering, explanation generation, and other AI capabilities that interest me. Most machine reading projects have focused on macro-reading, i.e. skimming many documents to extract repeated facts or commonly expressed sentiments. I would like to focus primarily on micro-reading, which aims to extract considerable content from each individual document. I will assume that methods for natural-language processing will continue to improve, which will make micro-reading increasingly effective, and I will focus on issues like these: goal-directed navigation of a corpus of documents methods for (dis-)confirming information derived from text extracting information from diagrams and tables integrating extracted information into a knowledge base ways that macro-reading might inform micro-reading, and vice-versa Publications Component Library for building Knowledge Systems KM knowledge representation and reasoning system Teaching In Spring 2019, I am teaching a new course, CS378: Practical Applications of Natural Language Processing. Here's the syllabus . I sometimes teach CS 302: Computer Fluency . Here's the syllabus . Contact O : GDC 3.704 E : porter@cs.utexas.edu P : 512-471-9565 Curriculum Vitae diff --git a/src/data/compiled_bios/4028.txt b/src/data/compiled_bios/4028.txt new file mode 100644 index 0000000000..2ed0251f20 --- /dev/null +++ b/src/data/compiled_bios/4028.txt @@ -0,0 +1 @@ + Bill Press' Home Page Bill Press (also indexed on the web as William Press and William H. Press ) is the Warren J. and Viola M. Raymer Professor in Computer Science and in Integrative Biology at the University of Texas at Austin . His affiliations at UT include memberships in the Institute for Cellular and Molecular Biology ( ICMB ) and in the Institute for Computational Engineering and Sciences ( ICES ). Press is also a Senior Fellow (emeritus) at the Los Alamos National Laboratory ( LANL ) in the Statistical Sciences group ( CCS-6 ). His research is on computational biology, genomics, and computational statistical methods. Prior to June, 2004, he served for five years as LANL's Deputy Laboratory Director for Science and Technology. Before that, he was for twenty years Professor of Astronomy and Physics at Harvard University, and a member of the Harvard-Smithsonian Center for Astrophysics. In April, 2009, President Obama named Press as a member of his President's Council of Advisors on Science and Technology (PCAST) . Bill's present and previous work touches several different communities: You might know him as a computational biologist and computer scientist , or earlier as a theoretical astrophysicist , or else you might know him as the co-author and (in his off hours) co-maintainer of the Numerical Recipes series of books on scientific computer programming. (He is further involved in other professional activities .) No relation to a different Bill Press whom you might see as a political commentator on cable television. Contact Information Email: Fax: +512 471-8694 Phone: +512 232-4022 (Sorry, I can't help you with Numerical Recipes problems. Instead, look here .) Or, as a last resort, mail: Prof. William Press Institute for Computational Engineering and Sciences ACES 4.102 1 University Station (C0200) Austin, TX 78712 (U.S.A.) Professional Information Narrative Biography (one-page) Recent (and Highly Cited Older) Publications (including online links) Web Notes and Unpublished Papers Curriculum Vitae (PDF, excluding bibliography) Publications (complete bibliography as PDF, no links) Professional Background (HTML) Other Professional Activities (HTML) Honors, Awards, and Memberships (HTML) Photos for external use ("head shots"). Formal (print resolution): [1] [2] [3] (photo credit: Sara Press ) Candid (web resolution): [4] [5] (no photo credits) Additional Links My Google Scholar page (citations) My LinkedIn page (mostly up-to-date) My Google+ page (not very active) My Facebook page (not very active) Youtube Channel: OpinionatedLessons Course: CS378H "Public Policy and the Digitally Native Technologist" (Spring, 2016) Course: CS395T "Computational Statistics" (Spring, 2014) Lectures on Statistics: 4th IMPRS Astronomy Summer School (Heidelberg, August 2009) Course: Astronomy 45 "Introduction to Astrophysics" (1997) Rybicki & Press Fast Statistical Methods Page Photo Gallery of Family, Friends, and Colleagues diff --git a/src/data/compiled_bios/4029.txt b/src/data/compiled_bios/4029.txt new file mode 100644 index 0000000000..af41a4b8c3 --- /dev/null +++ b/src/data/compiled_bios/4029.txt @@ -0,0 +1 @@ + Eric Price Assistant Professor Email: ecprice@cs.utexas.edu Office: GDC 4.510 Postal: Department of Computer Science University of Texas at Austin 2317 Speedway, Stop D9500 Austin, Texas 78712 Contact Biography Research Teaching Publications (all) Misc Awards Biography I am an assistant professor in the Department of Computer Science at the University of Texas at Austin . My undergraduate and graduate education was at MIT , where I was fortunate to have Piotr Indyk as my advisor. After graduating in 2013, I was a postdoc at the Simons Institute in Berkeley and at the IBM Almaden Research Center before arriving at UT in Fall 2014. ( CV ) Research I am broadly interested in algorithms and lower bounds. I particularly focus on really efficient algorithms as inputs get larger, even quadratic algorithms are typically too slow. We would like our algorithms to take nearly linear or even sublinear time and space. Sublinear algorithms are tricky, though you can't even read or store the whole input. Much of my research has focused on compressive sensing and sparse recovery, where you want to estimate a vector from a small linear "sketch" of it. One important subtopic is sparse Fourier transforms, where we showed how to estimate the Fourier transform in less time than the FFT for sparse data. Another aspect of my research is lower bounds. For many of the above problems and other statistical problems, we can achieve matching (or nearly matching) lower bounds on the sample complexity or space complexity. This lets us know when to stop looking for better algorithms, and to instead look for better problems. Teaching Spring 2019: Honors introduction to algorithms (CS 331H) . Fall 2017: Algorithms and Complexity (CS 331) . Fall 2017: Randomized Algorithms (CS 388R) , a graduate course. Spring 2017: Honors introduction to algorithms (CS 331H) . Fall 2016: Sublinear Algorithms (CS 395T) , a graduate topics course. Spring 2016: Honors introduction to algorithms (CS 331H) . Fall 2015: Randomized Algorithms (CS 388R) , a graduate course. Fall 2014: Sublinear Algorithms (CS 395T) , a graduate topics course. Misc I ran the Algorithms and Complexity Seminar at MIT. I created and maintain NewsDiffs , which tracks post-publication changes to online news articles. [ slides ] I am a coach for USACO , the USA Computer Olympiad. This program provides an excellent algorithms education for high school students. Publications: Either look at all publications or the selected ones below: Robust polynomial regression up to the information theoretic limit [ arXiv ] Daniel Kane , Sushrut Karmalkar, and Eric Price FOCS 2017 Compressed Sensing using Generative Models [ arXiv ] Ashish Bora, Ajil Jalal, Eric Price, and Alex Dimakis ICML 2017 Fourier-sparse interpolation without a frequency gap [ arXiv ] Xue Chen, Daniel Kane , Eric Price, and Zhao Song FOCS 2016 Tight Bounds for Learning a Mixture of Two Gaussians [ slides ] [ notes ] [ arXiv ] Moritz Hardt and Eric Price STOC 2015 Improved Concentration Bounds for Count-Sketch [ slides ] [ arXiv ] Gregory T. Minton and Eric Price, SODA 2014 ( Best Student Paper ) Sparse Recovery and Fourier Sampling [ slides ] Eric Price, Ph.D. Thesis ( George M. Sprowls Award , given for the best doctoral theses in computer science at MIT) Lower Bounds for Adaptive Sparse Recovery [ arXiv ] Eric Price and David P. Woodruff , SODA 2013 Nearly Optimal Sparse Fourier Transform [ slides ] [ arXiv ] [ website ] Haitham Hassanieh , Piotr Indyk , Dina Katabi , and Eric Price, STOC 2012 On the Power of Adaptivity in Sparse Recovery [ slides ] [ arXiv ] Piotr Indyk , Eric Price, and David P. Woodruff , FOCS 2011 (1+eps)-approximate sparse recovery [ arXiv ] Eric Price and David P. Woodruff , FOCS 2011 Awards SODA best student paper, 2014 George M. Sprowls Award for best computer science doctoral thesis at MIT, 2013 Simons Graduate Fellowship in Theoretical Computer Science, 2012 NSF Graduate Research Fellowship, 2009 and I used to be pretty good at math/CS contests: ACM International Collegiate Programming Contest 8th place 2009 4th place 2007 William Lowell Putnam Mathematics Competition 6-15 place bracket, 2006 7-16 place bracket, 2005 International Olympiad in Informatics Perfect score, 2005 Silver medal, 2004 International Mathematical Olympiad Gold medal, 2005 diff --git a/src/data/compiled_bios/403.txt b/src/data/compiled_bios/403.txt new file mode 100644 index 0000000000..77a3989685 --- /dev/null +++ b/src/data/compiled_bios/403.txt @@ -0,0 +1 @@ +Name: Thompson, Laurie:: Position: Senior Lecturer:: Degrees: M.S. Computer Science, The University of Texas at Dallas; B.S., Texas A&M University; diff --git a/src/data/compiled_bios/4030.txt b/src/data/compiled_bios/4030.txt new file mode 100644 index 0000000000..ba01414e24 --- /dev/null +++ b/src/data/compiled_bios/4030.txt @@ -0,0 +1 @@ + Lili Qiu Professor Department of Computer Science The University of Texas at Austin 2317 Speedway, Stop D9500 Austin, TX 78712-1757 Office: GDC 6.806, Email: lili AT cs.utexas.edu Phone: 512-232-7890, Fax: 512-471-8885 I am a Professor in Computer Science Department at University of Texas at Austin . I am also a member of the Wireless Networking and communications Group . My research interests are in Internet and wireless networking. I graduated with a Ph.D. from Computer Science department at Cornell University in 2001. I spent 2001 - 2004 as a researcher at Microsoft Research, Redmond, WA . I joined UT Austin in January 2005. My current research focuses on wireless network management and content distribution in mobile networks. I am named as an ACM Fellow, IEEE Fellow, and ACM Distinguished Scientist. I got an NSF CAREER award and Google Faculty Research Award, and best paper awards at ACM MobiSys'18 and IEEE ICNP'17. I have also worked on network measurement and tomography , overlay routing/multihoming , Web performance and content/event distribution , TCP, active queue management, and congestion control , Packet classification and security , and IP telephony . Research Current projects: Motion tracking and applications, wireless videos, network data analytics and machine learning, wireless communication Past projects at UT: Content Distribution in Mobile Networks, Wireline Network Management , NetQuest: Scalable and Flexible Internet Measurement, Scalable Routing in Sensor Networks (including S4 source code) Publications (or by subjects ) Patents Talks Software: S4 , SOAR , Fast Resilient Jumbo Frames Google Scholar Profile Benefunder Profile Selected Publications Supporting WiFi and LTE Co-existence. IEEE INFOCOM, April 2015. Optimized Layered Integrated Video Encoding. IEEE INFOCOM, April 2015. Robust Network Compressive Sensing. In Proc. of ACM MobiCom, 2014. Tracking Physical Browsing in Indoor Spaces. In Proc. of ACM MobiCom, 2014. Fine-grained Spectrum Adaptation in WiFi Networks (MobiCom 2013). Model-Driven Energy-Aware Rate Adaptation (MobiHoc 2013). iDEAL: Incentivized Dynamic Cellular Offloading via Auctions (INFOCOM 2013). Event Detection using Customer Care Calls (INFOCOM 2013). CRMA: Collision-Resistant Multiple Access (MobiCom 2011). Harnessing Frequency Diversity in Wi-Fi Networks (MobiCom 2011). Enabling Enabling High-Bandwidth Vehicular Content Distribution (CoNEXT 2010), video clip . Exploiting Temporal Stability and Low-Rank Structure for Localization in Mobile Networks (MobiCom 2010). R3: Resilient Routing Reconfiguration (SIGCOMM 2010). Spatio-Temporal Compressive Sensing and Internet Traffic Matrices (SIGCOMM 2009). Predictable Performance Optimization for Wireless Networks (SIGCOMM 2008). NetQuest: A Flexible Framework for Large-Scale Network Measurement (ToN, extended SIGMETRICS 2006). Overlay Node Placement: Analysis, Algorithms and Impact on Applications (ToN, extended ICDCS 2007). ER: Efficient Retransmission Scheme for Wireless LANs (CoNext 2007). Traffic-Aware Channel Assignment in Enterprise Wireless LANs (ICNP 2007). A General Model of Wireless Interference (MobiCom 2007). Greedy Receivers in IEEE 802.11 Hotspots (DSN 2007). S4: Small State and Small Stretch Routing Protocol for Large Wireless Sensor Networks (NSDI 2007) SmartTunnel: Achieving Reliability in the Internet (INFOCOM 2007). Cell Breathing in Wireless LANs: Algorithms and Evaluation (TMC 2007). On Selfish Routing in Internet-like Environments (ToN, extended SIGCOMM 2003). COPE: Traffic Engineering in Dynamic Networks (SIGCOMM 2006). Troubleshooting Wireless Mesh Networks (CCR 2006). Measurement and Estimation of Link Intreference in Static Multi-hop Wireless Networks (IMC 2005). On the Placement of Internet TAPs in Wireless Neighborhood Networks (ICNP 2004). Architecture and Techniques for Diagnosing Faults in IEEE 802.11 Infrastructure Networks (MobiCom 2004). Optimizing Cost and Performance for Multihoming (SIGCOMM 2004). Impact of Interference on Multi-hop Wireless Network Performance (MobiCom 2003). Server-based Inference of Internet Performance (INFOCOM 2003). Statistical Identification of Encrypted Web Browsing Traffic (S&P 2002). Fast Firewall Implementations for Software and Hardware-based Routers. (ICNP 2001). On the Placement of Web Server Replicas (INFOCOM 2001). The Content and Access Dynamics of a Busy Web Site: Findings and Implications (SIGCOMM 2000). Integrating Packet FEC into Adaptive Voice Playout Buffer Algorithms on the Internet (INFOCOM 2000). Teaching CS 378: Introduction to Wireless Networking [Spring 2006, Spring 2007, Spring 2009, Spring 2010] CS 356: Computer Networks [Fall 2010, Summer 2011] CS 395T: Wireless Networking Seminar [Fall 2005] CS 386W: Wireless Networking (graduate-level breath class) [Fall 2006, Fall 2007, Fall 2008, Fall 2009, Spring 11, Fall 11, Fall 13, Fall 14, Fall 15, Fall 17, Fall 18 ] CS 356R: Introduction to Wireless Networking [S14,S15,F15,S17,F17, F18 ] Note to applicants Professional Activities Elected officer: Vice Chair for ACM SIGMOBILE 2013 -- 2017 Elected officer: Treasurer for ACM SIGMOBILE 2009 -- 2013 Editor for IEEE/ACM Transactions on Networking Associate editor for IEEE Transactions on Mobile Computing Editor for Computer Networks (Elsevier) Journal (2008-2011) Associate editor-in-chief for Mobile Computing and Communications Review (MC2R) (2008-2010) Area editor for Mobile Computing and Communications Review (MC2R) (2005-2007) TPC Co-chair for IEEE ICNP 2016 Tutorial Co-chair for ACM SIGCOMM 2013 TPC Co-chair for ACM MobiCom 2012 General Co-chair for IEEE ICNP 2012 Program Co-Chair for IEEE SECON 2011 Poster/Demo Co-Chair for ACM SIGCOMM 2011 General Co-Chair for Wireless Internet Conference (WICON) 2007 Program Co-Chair for Wireless Internet Conference (WICON) 2006 Program Committee Member for 2018: NSDI, ACM SIGCOMM, ACM MobiCom, IEEE INFOCOM, IEEE ICNP Area Chair. 2017: ACM MobiCom, IEEE ICNP (area chair), IEEE INFOCOM. 2016: ACM MobiCom, ACM MobiHoc, IEEE INFOCOM (area chair). 2015: ACM MobiCom, ACM MobiHoc, IEEE INFOCOM (area chair), HotMobile 2014: ACM MobiCom, ACM MobiHoc, NSDI, IEEE INFOCOM, IEEE ICNP (area chair) 2013: ACM MobiCom, IEEE INFOCOM 2012: ACM SIGCOMM, ACM MobiCom, ACM MobiHoc, IEEE ICNP (area chair) 2011: ACM SIGCOMM, ACM MobiCom, ACM MobiHoc, IEEE ICNP (area chair), IEEE SECON 2010: ACM MobiCom, ACM MobiHoc, IEEE ICNP, IEEE INFOCOM, COMSNETS 2009: ACM SIGCOMM, ACM MOBICOM, IEEE INFOCOM, IEEE ICNP, IEEE ICDCS, IEEE SECON 2008: ACM SIGCOMM, ACM MOBICOM, IEEE INFOCOM, IEEE MASS 2007: ACM Mobicom, IEEE INFOCOM , IEEE ICDCS , PAM , IEEE SECON , WINMEE , IEEE LANMAN , ACM SIGCOMM Poster 2006: ACM Mobicom , IEEE ICDCS , IEEE SECON , WICON , IWQoS , AAA 2005: ACM Mobicom , IEEE SECON , WICON , AAA , Web Caching Workshop , ACM SIGCOMM Asia Workshop 2004: IEEE INFOCOM , ACM Multimedia , IMC , SECON , IWQoS 2003: IEEE INFOCOM 2002: Practical Aspects of Performance Analysis (PAPA) diff --git a/src/data/compiled_bios/4031.txt b/src/data/compiled_bios/4031.txt new file mode 100644 index 0000000000..049119e891 --- /dev/null +++ b/src/data/compiled_bios/4031.txt @@ -0,0 +1 @@ + Vijaya Ramachandran Blakemore Regents Professor of Computer Science The University of Texas at Austin Ph.D. Princeton University Research Interests My research interests are in algorithms and computational theory , primarily in the areas of graph algorithms, data structures, randomized algorithms, parallel algorithms and effective models for computation. The main focus of my current research is on designing efficient algorithms for the multicore computing environment. You can access copies of recent papers of mine. A complete listing of my publications is available in my vita. [ vita in Adobe pdf ] Research Opportunities Current Graduate students: Contact me if you are interested in a CS395 independent research course with me. Prospective graduate students: Instructions and online application link can be found at the department's graduate admissions website. If you have interest in doing research with me, you are welcome to send me email detailing your background and your research interests. Note that admissions are determined by a committee. No Summer Internships: I do not have summer internship opportunities available. I regret that I will be unable to respond personally to such requests. Ph.D. Students and Postdoctoral Associates Udit Agarwal, current Ph.D. student. Matteo Pontecorvi, Ph.D., University of Texas at Austin, December 2017. Rezaul Alam Chowdhury , ``Cache-efficient Algorithms and Data Structures: Theory and Experimental Evaluation,'' Ph.D., University of Texas at Austin, August 2007. Dan Fernholz , ``Sparse Random Graphs: Methods, Structure, and Heuristics,'' Ph.D., University of Texas at Austin, December 2007. Ganeshkumar Ganapathy , ``Algorithms and Heuristics for Combinatorial Optimization in Phylogeny,'' Ph.D., University of Texas at Austin, August 2006. Seth Pettie , ``On the Shortest Path and Minimum Spanning Tree Problems,'' Ph.D., University of Texas at Austin, August 2003. Chung Keung Poon , Postdoctoral Associate, September 1995 to August 1996. Philip D. MacKenzie , Postdoctoral Associate, September 1992 to August 1994. Co-supervised by Greg Plaxton. Tsan-sheng Hsu , ``Graph Augmentation and Related Problems: Theory and Practice,'' Ph.D., University of Texas at Austin, December 1993. Pierre Kelsen , ``Efficient Computation of Extremal Structures in Graphs and Hypergraphs,'' Ph.D., University of Illinois at Urbana-Champaign, Summer 1992. Arkady Kanevsky, ``Vertex Connectivity of Graphs: Algorithms and Bounds,'' Ph.D., University of Illinois at Urbana-Champaign, Summer 1988. Classes FALL 2018:: CS388G: Algorithms: Techniques and Theory SPRING 2018: CS331H: Algorithms and Complexity (Honors) SPRING 2017: CS331: Algorithms and Complexity FALL 2016: CS388P: Parallel Algorithms SPRING 2016: CS331: Algorithms and Complexity FALL 2015: CS388G: Algorithms: Techniques and Theory SPRING 2015: CS331H: Algorithms and Complexity (Honors) FALL 2014: CS388G: Algorithms: Techniques and Theory , CS398T SPRING 2014: CS331H: Algorithms and Complexity (Honors) FALL 2013: CS388P: Parallel Algorithms , CS398T Contact Information Email: vlr "at" cs "dot" utexas "dot" edu Phone: (512) 471-9554 Fax: (512) 471-8885 Postal: Department of Computer Science 2317 Speedway, Stop D9500 The University of Texas at Austin Austin , Texas 78712-1188 diff --git a/src/data/compiled_bios/4032.txt b/src/data/compiled_bios/4032.txt new file mode 100644 index 0000000000..dd074e810e --- /dev/null +++ b/src/data/compiled_bios/4032.txt @@ -0,0 +1 @@ + Christopher J. Rossbach Assistant Professor of Computer Science at the UT Austin Senior Affiliated Researcher at VMware Research Group Former Member of Microsoft Research Silicon Valley email: rossbach at cs dot utexas.edu phone: 415-596-8011 interests: Operating systems, virtualization, heterogeneity, parallel architectures, concurrency, distributed systems cv: [pdf] Teaching Semester Course Title Course Number Spring 2019 Advanced Operating Systems cs380l Fall 2018 Honors Concurrency cs378h Spring 2018 Concurrency cs378 Fall 2017 Advanced Operating Systems cs380l Spring 2017 Advanced Operating Systems cs380l Selected Publications Sharing, Protection and Compatibility for Reconfigurable Fabric with AmorphOS Ahmed Khawaja, Joshua Landgraf , Rohith Prakash, Michael Wei, Eric Schkufza, Christopher J. Rossbach OSDI 2018 MASK: Redesigning the GPU Memory Hierarchy to Support Multi-Application Concurrency Rachata Ausavarungnirun , Vance Miller , Joshua Landgraf, Saugata Ghose, Adwait Jog, Jayneel Gandhi, Christopher J. Rossbach, Onur Mutlu ASPLOS 2018 MOSAIC: Transparent Hardware-Software Cooperative Memory Management for GPUs Rachata Ausavarungnirun , Christopher J. Rossbach, Joshua Landgraf, Vance Miller , Saugata Ghose, Jayneel Gandhi, Onur Mutlu MICRO 2017 vCorfu: A Clould-Scale Object Store on a Shared Log Michael Wei , Amy Tai , Christopher J. Rossbach, Scott Lystig Fritchie, Ittai Abraham , Udi Wieder , Maithem Munshed, Medhavi Dhawan, Jim Stabile, Steven Swanson, Michael Freedman, Dahlia Malkhi NSDI 2017 Coordinated and Efficient Huge Page Management with Ingens [pdf] Youngjin Kwon , Hangchen Yu , Simon Peter , Christopher J. Rossbach, Emmett Witchel OSDI 2016 Silver: A scalable, distributed, multi-versioning, Always growing (Ag) File System Michael Wei , Christopher J. Rossbach, Ittai Abraham , Steve Swanson, Dahlia Malkhi HotStorage 2016 SurroundWeb: Mitigating Privacy Concerns in a 3D Web Browser [pdf] John Vilk , David Molnar , Benjamin Livshits , Eyal Ofek , Christopher J. Rossbach , Alexander Moshchuk , Helen J. Wang , Ran Gal 36th IEEE Symposium on Security and Privacy, 2015 Dandelion: a Compiler and Runtime for Heterogeneous Systems [pdf] Christopher J. Rossbach, Yuan Yu , Jon Currey , Jean-Philippe Martin , Dennis Fetterly SOSP 2013 PTask: Operating System Abstractions To Manage GPUs as Compute Devices [pdf] Christopher J. Rossbach, Jon Currey , Mark Silberstein , Baishakhi Ray , Emmett Witchel SOSP 2011 Operating System Transactions Donald E. Porter , Owen S. Hofmann , Christopher J. Rossbach, Alex Benn , Emmett Witchel SOSP 2009 Maximum Benefit from a Minimal HTM Owen S. Hofmann , Christopher J. Rossbach, Emmett Witchel ASPLOS 2009 Dependence-Aware Transactions for Increased Concurrency [pdf] Hany E. Ramadan , Christopher J. Rossbach, Emmett Witchel MICRO 2008 TxLinux/MetaTM: Transactional Memory and the Operating System [pdf] Christopher J. Rossbach, Owen S. Hofmann , Donald E. Porter , Hany E. Ramadan , Aditya Bhandari Emmett Witchel CACM September 2008 TxLinux: Using and Managing Transactional Memory in an Operating System [pdf] Christopher J. Rossbach, Owen S. Hofmann , Donald E. Porter , Hany E. Ramadan Aditya Bhandari , Emmett Witchel SOSP 2007 MetaTM/TxLinux: Transactional Memory For An Operating System [pdf] Hany E. Ramadan, Christopher J. Rossbach, Donald E. Porter, Owen S. Hofmann, Aditya Bhandari, Emmett Witchel ISCA 2007 Improved Error Reporting for Software that Uses Black Box Components [pdf] Jungwoo Ha, Christopher J. Rossbach, Jason V. Davis, Indrajit Roy, David L. Chen, Hany E. Ramadan, and Emmett Witchel PLDI 2007 Complete Publications Service Program Committee Member: SOSP 2017, 2019 ASPLOS 2017, 2018, 2019 Usenix ATC 2017, 2018, 2019 SoCC 2017, 2018 HotOS 2017 MaRS 2016, 2017 OSDI 2016 WWW 2017, 2019 VEE 2016, 2019 Systor 2016 Eurosys 2016 PPoPP 2016 SFMA 2012-2015, 2018 IPDPS 2012, 2013 GPGPU 2011, 2013 TRANSACT 2010 Program Committee Chair: VEE 2019 SoCC 2018 WWW Infrastructure and Systems Track 2017 SFMA 2013, 2014, 2015, 2018 MaRS 2016, 2017 OSDI Poster Session 2016 Editor: Operating Systems Review (OSR) 2016-2018 Students Joshua Landgraf Vance Miller Ahmed Khawaja Hangchen Yu Arthur Peters John Thywissen Non-academic Pursuits www.rossbach.to diff --git a/src/data/compiled_bios/4033.txt b/src/data/compiled_bios/4033.txt new file mode 100644 index 0000000000..dd71fc0254 --- /dev/null +++ b/src/data/compiled_bios/4033.txt @@ -0,0 +1 @@ + Mike Scott's Home Page Greetings! In the spirit of my friend Robert Duvall of Duke University I want to make sure you are in the right place. "Mike Scott" is a very common name . I am not the lead singer of the Waterboys , nor am I the former major league pitcher . I am not this computer scientist . And I am not the fictional character from the television show The Office . I am a lecturer at the University of Texas at Austin in the Computer Science Department. I was raised in St. Charles, Missouri. I was an undergraduate at Stanford University receiving a B.S. in Industrial Engineering. I later attended Rensselaer Polytechnic Institute and received a M.S. in Computer Science. Before becoming a full time teacher I spent some time doing something completely different . My office is GDC 6.304 in the north tower, Dell Computer Science Hall How to contact me: Email: scottm@cs.utexas.edu Office phone: (512) 471-9785 (email is preferred) Office Hours for Spring 2019: Monday and Wednesday 1 - 3 pm. Office hours are held in the 3rd floor public computer lab in the Gates CS complex, GDC 3.302 If you cannot make these hours email me to request an appointment. Courses for Spring 2019: CS314 Data Structures Extended CV Various quotes on life and a few on computer science. Many of them are from Garrison Keillor of A Prairie Home Companion who, in the words of my friend Tim Hullar, "Speaks to my condition." diff --git a/src/data/compiled_bios/4034.txt b/src/data/compiled_bios/4034.txt new file mode 100644 index 0000000000..459cd680c4 --- /dev/null +++ b/src/data/compiled_bios/4034.txt @@ -0,0 +1 @@ +Hovav Shacham Hovav Shacham Professional activities Publications Teaching Students Brief biography Professor, Department of Computer Science , The University of Texas at Austin . Office: GDC 6.510 E-mail: hovav@cs.utexas.edu Twitter: @hovav Address: 2317 Speedway, Stop D9500 Austin, TX 78712 Phone: (512) 471-9792 Professional activities I am co-program chair (with Alina Oprea ) of IEEE Security and Privacy (Oakland) 2020 and (with Christopher Kruegel ) of IEEE Security and Privacy (Oakland) 2019 . I was co-program chair (with Alexandra Boldyreva ) of Crypto 2018 , and (with Jonathan Katz ) of Crypto 2017 . In February, 2016, I submitted, along with other security researchers, a brief of amici curiae in support of Apple, organized by Stanfords Center for Internet and Society . Publications Recent publications include: S. Checkoway, J. Maskiewicz, C. Garman, J. Fried, S. Cohney, M. Green, N. Heninger, R.-P. Weinmann, E. Rescorla, and H. Shacham, Where Did I Leave My Keys? Lessons from the Juniper Dual EC Incident (research highlight). Communications of the ACM 61(11):14855, Nov. 2018. Available locally: authors' version . H. Shacham. Short Unique Signatures from RSA with a Tight Security Reduction (in the Random Oracle Model) . In S. Meiklejohn and K. Sako, eds., Proceedings of Financial Crypto 2018. Feb. 2018. D. Kohlbrenner and H. Shacham, On the Effectiveness of Mitigations Against Floating-Point Timing Channels . In E. Kirda and T. Ristenpart, eds., Proceedings of USENIX Security 2017 . USENIX, Aug. 2017. W. Lian, H. Shacham, and S. Savage, A Call to ARMs: Understanding the Costs and Benefits of JIT Spraying Mitigations . In A. Juels, ed., Proceedings of NDSS 2017 . Internet Society, Feb. 2017. All my publications are available online . Teaching CS 361s, Computer Security: Spring 2019 . CS 380s, Graduate Computer Security: Fall 2018 . Students I look forward to working with talented graduate students and undergraduate students, especially undergraduate Turing Scholars please apply! Former students David Kohlbrenner (Ph.D. 2018) UC Berkeley (postdoc) Wilson Lian (Ph.D. 2016) Google Jacob Maskiewicz (M.S. 2016) Facebook Keaton Mowery (Ph.D. 2015) Apple Daniel Cashman (M.S. 2013) Google Stephen Checkoway (Ph.D. 2012) Johns Hopkins UI Chicago Aishwarya Venkataraman (M.S. 2012) Stack iQ Grace Wang (M.S. 2010) Qualcomm Brief biography Hovav Shacham joined the University of Texas at Austin in 2018. His research interests are in applied cryptography, systems security, privacy-enhancing technologies, and technology policy. Shacham was a student at Stanford and a postdoctoral fellow at the Weizmann Institute. From 2007 to 2018, he was on the faculty at the University of California, San Diego. He received the 2017 ACM CCS Test-of-Time Award for his 2007 paper that introduced return-oriented programming. Shacham took part in Californias 2007 Top-to-Bottom voting systems review and served on the advisory committee for Californias 201113 post-election risk-limiting audit pilot program. His work has been cited by the Federal Trade Commission, the National Highway Traffic Safety Administration, and the RAND Corporation. Photo credits Portrait by Erik Jepsen, UC San Diego Publications. formatted by Markdeep1.03 diff --git a/src/data/compiled_bios/4035.txt b/src/data/compiled_bios/4035.txt new file mode 100644 index 0000000000..8a32c3bb8e --- /dev/null +++ b/src/data/compiled_bios/4035.txt @@ -0,0 +1 @@ + News December 2018: I was elected AAAS Fellow . July 2018: Shih-Yun Lo, Shiqi Zhang, and I won the Best Robotics Track Paper award at AAMAS 2018. June 2018: We won first place at the the international RoboCup 2018 competition in the 3D simulation league UT Austin Villa for the 7th time in 8 years. September 2016: I published " Artificial Intelligence and Life in 2030 ", the first Study Panel Report of the One Hundred Year Study on Artificial Intelligence . In February 2017 I delivered a lecture about it at an event hosted by the Prime Minister of Finland. March 2013: I spoke at TEDxYouth Austin on " Robot Soccer " (14 minute video). [ more ] I am the founder and director of the Learning Agents Research Group (LARG) within the Artificial Intelligence Laboratory in the Department of Computer Science at The University of Texas at Austin , as well as associate department chair and chair of the University's Robotics Portfolio Program I am also the President, COO, and co-founder of Cogitai, Inc. My main research interest in AI is understanding how we can best create complete intelligent agents. I consider adaptation, interaction, and embodiment to be essential capabilities of such agents. Thus, my research focuses mainly on machine learning, multiagent systems, and robotics . To me, the most exciting research topics are those inspired by challenging real-world problems. I believe that complete successful research includes both precise, novel algorithms and fully implemented and rigorously evaluated applications. My application domains have included robot soccer, autonomous bidding agents, autonomous vehicles, autonomic computing, and social agents. See Short , Medium , or Long Professional Bio. CV in PDF or HTML Format (as of Sept '18). Read my Timeline . Experience Research Publications Group Teaching Service Press Fun Contact Copyright 2009 Peter Stone :: Site by CarlKingCreative :: Useful Links diff --git a/src/data/compiled_bios/4036.txt b/src/data/compiled_bios/4036.txt new file mode 100644 index 0000000000..86369fd90f --- /dev/null +++ b/src/data/compiled_bios/4036.txt @@ -0,0 +1 @@ + College of Fine Arts Skip to Main Content Home Home Student Info Student Information Admissions Advising for Current UT Austin Students GAMMA Curriculum GAMMA Certificates Capstone Course Apply to the Capstone Course Related Programs Student Work Game Dev Capstone Games Game Dev Capstone 3D Games: Spring 2018 Game Dev Capstone 2D Games: Fall 2017 Game Dev Capstone 3D Games: Spring 2017 Game Dev Capstone 2D Games: Fall 2016 Game Dev Capstone 3D Games: Spring 2016 Game Dev Capstone 2D Games: Fall 2015 Game Dev Capstone 3D Games: Spring 2015 Game Dev Capstone 2D Games: Fall 2014 Game Dev Capstone 3D Games: Spring 2014 Game Dev Capstone 2D Games: Fall 2013 Game Dev Capstone 2D Games: Spring 2013 2D & 3D Digital Art Digital Production Art 3D: Fall 2014 Digital Foundations & 2D Animation: Fall 2014 Digital Production Art 3D: Spring 2014 Digital Production Art 3D: Fall 2013 Gaming Art 2D: Fall 2013 Intro to Game Dev Games Intro to Game Dev: Fall 2014 Interactive Media & Game Devel: Fall 2013 Game Technology: Spring 2012 Alumni Success Testimonials Partners Purpose of Partnering Benefits of Partnering Partnership Opportunities Join the GAMMA Program Founders Club Current Champs Current Partners News SAGA Lab About Mission, Vision, and Goal Team Lead and Faculty Industry Advisory Council GAMMA Executive Board Contact The GAMMA Program The Game and Mobile Media Applications (GAMMA) Program is an interdisciplinary undergraduate certificate program for students of the Arts and Entertainment Technologies Department , Computer Science Department , and Radio-Television-Film Department . The program produces graduates ready to design, develop, and provide leadership for the exploding growth in AR/VR, game, mobile app, and creative media agencies and studios in Texas and around the world. Participating students individually build their pertinent skills within their respective degree programs, then come together to collaboratively develop 2D and 3D games for mobile, online, and personal computer platforms in the programs culminating experience: the Capstone Course . Working alongside local organizations, such as UTs EGaDS! and IGDA Austin, and local game and mobile studios andindustry professionals who are committed to evaluating student portfolios and hiring successful graduates, the GAMMA Program is dedicated to graduating creative, scholarly, and talented students in the practices of digital interactive media, game, and AR/VR development. Powered by our GAMMA Partners . Search Tweets by UT_GAMMA 2019 Game and Mobile Media Applications (GAMMA) Program Web Privacy Policy | Web Accessibility | Log in diff --git a/src/data/compiled_bios/4037.txt b/src/data/compiled_bios/4037.txt new file mode 100644 index 0000000000..a9388919ad --- /dev/null +++ b/src/data/compiled_bios/4037.txt @@ -0,0 +1 @@ + Robert A. van de Geijn Professor Department of Computer Sciences and Texas Institute for Computational Engineering and Sciences (ICES) The University of Texas at Austin Austin, TX 78712 Office: GDC 5.704 Phone: (512) 471-9720 Fax: (512) 471-8885 e-mail: rvdg@cs.utexas.edu URL: http://www.cs.utexas.edu/users/rvdg ACM Digital Library Profile Google Scholar Profile ResearchGate Profile B.S. in Mathematics and Computer Science (1981) University of Wisconsin-Madison Ph.D. in Applied Mathematics (1987) University of Maryland College Park Areas of Interest Formal derivation of algorithms, mechanical generation of libraries, numerical analysis, parallel supercomputing, scientific computing, high-performance linear algebra libraries. Summary of Research The advent of architectures with multi-level memories, including caches, shared memories, and distributed memories, has forced a re-evaluation of how linear algebra libraries are developed. Surprisingly, we have found that the key to the development of high-performance linear algebra libraries for such architectures is the application of formal derivation methods from computer science. As part of the Formal Linear Algebra Methods Environment (FLAME), we have demonstrated that proof of correctness can be established hand-in-hand with the derivation of families of algorithms for a given linear algebra operation. By coding the resulting library using an API so that the code resembles the algorithm, the correctness of the algorithm implies the correctness of the implementation. The methodology has been demonstrated to apply to essentially all operations covered by the BLAS, LAPACK, and beyond. We believe the methodology is sufficiently systematic that is can be automated, including cost and stability analyses. Curriculum Vitae PDF format (last updated September 2014) More Information about our Graduate Programs Computer Sciences Computational Science, Engineering, Mathematics Current Projects The Formal Linear Algebra Methods Environment (FLAME) Project The Parallel Linear Algebra Package (PLAPACK) project Publications For recent publications, see the FLAME Publication Webpage Or, see my Google Scholar Profile (I suggest you click on "Year" to order them most recent first.) Major Software Efforts Current and Former Students diff --git a/src/data/compiled_bios/4038.txt b/src/data/compiled_bios/4038.txt new file mode 100644 index 0000000000..42052ec7a1 --- /dev/null +++ b/src/data/compiled_bios/4038.txt @@ -0,0 +1 @@ + Etienne Vouga - UT Austin Graphics Home Projects Courses Notes and Code Contact Welcome! I'm an assistant professor in the Computer Science Department and the Institute for Computational Engineering and Sciences (ICES) at the University of Texas at Austin. I was a PhD student at the Columbia Computer Graphics Group and a postdoc at Harvard SEAS . Office: GDC 5.508 Email: evouga@cs.utexas.edu Research : I am particularly interested in physical simulation , particularly of thin, elastic materials like cloth, hair, and paper, as they deform and collide; geometry processing and design , using advances in our mathematical understanding of discrete geometry to better manipulate and design using coarse, discrete data; and applying ideas from these areas to solving problems in computer graphics, computational mechanics, and scientific computing. Industry applications of my research include special effects simulations in The Hobbit and Tangled, and Artec's Shapify 3D portrait service. Teaching : This semester I am teaching a CS395T graduate class, "Physical Simulation and Animation for Computer Graphics." Prospective Students: Yes, I'm looking to hire talented graduate students interested in graphics! Please e-mail me if you are interested. Physical Simulation Geometry Processing and Design Miscellaneous diff --git a/src/data/compiled_bios/4039.txt b/src/data/compiled_bios/4039.txt new file mode 100644 index 0000000000..bb76993c64 --- /dev/null +++ b/src/data/compiled_bios/4039.txt @@ -0,0 +1 @@ + Brent Waters Professor, University of Texas Email: bwaters--at--cs.utexas.edu Office: 512-232-7464 Mail: Brent Waters Department of Computer Science, The University of Texas at Austin 2317 Speedway, Stop D9500 Austin TX 78712 My primary research is in the areas of cryptography and computer security. Grace Murray Hopper Award (2015) Presidential Early Career Award for Scientists and Engineers (PECASE) (2011) Packard Fellowship (2011) Microsoft Faculty Fellowship (2011) Sloan Fellowship (2010) Cryptographic Software: OpenABE developed at Zeutro Open ABE is an highly optimized open source (AGPL) implementation of Attribute-Based Encryption. Students who are considering working with me Publications CV DBLP Google Scholar Profile Presentations Graduate Advising Current Ph.D. Students Rishab Goyal Satya Vusirikala Past Ph.D. Students Allison Bishop, Ph.D. 2012, Now an Assistant Professor at the University of Columbia Yannis Rouselakis, Ph.D. 2013, Now at Google Venkata Koppula, Ph.D. 2018, Now a postdoc at Weizmann Teaching Spring 2019: CS 388H (Graduate) Cryptography diff --git a/src/data/compiled_bios/404.txt b/src/data/compiled_bios/404.txt new file mode 100644 index 0000000000..197e1e0979 --- /dev/null +++ b/src/data/compiled_bios/404.txt @@ -0,0 +1 @@ +Name: Truemper, Klaus:: Position: Professor Emeritus:: Degrees: Ph.D., Operations Research, Case Western Reserve University, 1973; M.S., Operations Research, Case Western Reserve University, 1972; M.S., Industrial Engineering, University of Iowa, 1969; B.S., Industrial Engineering, Rheinische School of Engineering, Germany, 1965; Research Interests: Optimization; Data Analysis; Logic; Combinatorics; Major Honors and Awards: Senior Distinguished US Scientist Award by Alexander von Humboldt-Stiftung, Germany, 1988; RepresentativePublications: Book Matroid Decomposition, Academic Press, 1992.; Book Effective Logic Computation, Wiley, 1998.; Book Design of Logic-based Intelligent Systems, Wiley, 2004.; A decomposition theory for matroids: parts I-VII, Journal of Combinatorial Theory (B), 1985-1992.; Related Software Leibniz System Software; diff --git a/src/data/compiled_bios/4040.txt b/src/data/compiled_bios/4040.txt new file mode 100644 index 0000000000..6e3f6736de --- /dev/null +++ b/src/data/compiled_bios/4040.txt @@ -0,0 +1 @@ + Emmett Witchel Home Research Teaching Service Recent publications ( Complete publications ) ( Google scholar ) ( dblp ) ( CV ) Y. Hu , Z. Zhu, I. Neal, Y. Kwon , T. Cheng, V. Chidambaram , E. Witchel [ best paper ] TxFS: Leveraging File-System Crash Consistency to Provide ACID Transactions ATC 18 Y. Kwon , H. Fingler, T. Hunt , S. Peter , E. Witchel , T. Anderson SOSP 17 Strata: A Cross Media File System T. Hunt , Z. Zhu, Y. Xu , S. Peter , E. Witchel [ best paper ] OSDI 16 Ryoan: A Distributed Sandbox for Untrusted Computation on Secret Data Y. Kwon , H. Yu, S. Peter , C. J. Rossbach , E. Witchel OSDI 16 Coordinated and Efficient Huge Page Management with Ingens M. Silberstein , S. Kim , S. Huh , X. Zhang , Y. Hu , A. Watad, E. Witchel TOCS 16 GPUnet: Networking Abstractions for GPU Programs M. Silberstein , B. Ford , I. Keidar , E. Witchel [runner-up best paper ] ASPLOS 13 GPUfs: Integrating a File System with GPUs Complete publications Code on github Teaching CS 371M: Mobile Computing Fall 2018 , Spring 2018, Fall 2016, Fall 2015 CS 380L: Advanced Operating Systems Spring 2016 , Fall 2014 , Fall 2013 , Fall 2011 , Spring 2010 , Fall 2006 , Fall 2005 Complete teaching Popular graphs Earp Graphs disabled by noscript GPUnet Graphs disabled by noscript Emmett Witchel | using Resolved Emmett Witchel Professor of Computer Science witchel at cs dot utexas.edu GDC 6.432 Group members Yige Hu Tyler Hunt Zhiting Zhu Zhipeng Jia Alumni Service ASPLOS: 19 (Co-Chair) , 17 , 16 , 14 , 13 , 10 , 08 IEEE S&P: 17 SOSP/OSDI: 15 , 14 , 11 , 10 SYSTOR: 16 (Co-Chair) , 15 USENIX ATC: 14 , 12 , 08 Complete service diff --git a/src/data/compiled_bios/4041.txt b/src/data/compiled_bios/4041.txt new file mode 100644 index 0000000000..8967a30789 --- /dev/null +++ b/src/data/compiled_bios/4041.txt @@ -0,0 +1 @@ + William D. (Bill) Young Associate Professor of Instruction and Research Scientist Contact info: Department of Computer Science The University of Texas at Austin 2317 Speedway, Stop D9500 Austin, TX 78712-1757 Email: byoung AT cs.utexas.edu Phone: 512-471-9782 Office: GDC 7.810 Research Interests: Computer security, formal methods, automated reasoning. Publications and other information: resume Spring Semester, 2019 CS429: Computer Organization and Architecture ( CS429 Class webpage ), MW 2-3:45pm, WAG 101 CS429: Computer Organization and Architecture ( CS429 Class webpage ), MW 4-5:45pm, WAG 101 Independent Reading and Research If you are considering taking a CS370 course with me, please take a look at this page: CS370 Syllabus . I will accept only a very limited number of CS370 students this semester. If you are need a reference letter or personal reference from me, please read this: Need Reference? Scholarships for Service Program: UTCS has a grant from the National Science Foundation (NSF) called Scholarships for Service. The Scholarships for Service (SFS) program provides extensive support (including tuition and fees and a stipend for living expenses) to students pursuing or interested in pursuing the INFOSEC Certificate in Information Security and who have a desire to work as an information assurance professional for a government agency. Check out the information here, or see me if you'd like additional information SfS Talk InfoSec Certification: InfoSec Certification Certification Talk diff --git a/src/data/compiled_bios/4042.txt b/src/data/compiled_bios/4042.txt new file mode 100644 index 0000000000..f6d8eaa438 --- /dev/null +++ b/src/data/compiled_bios/4042.txt @@ -0,0 +1 @@ +David Zuckerman Professor Email: diz@cs.utexas.edu Phone: (512) 471-9729 Fax: (512) 471-8885 Office: GDC 4.508 Postal: Department of Computer Science University of Texas at Austin 2317 Speedway, Stop D9500 Austin , Texas 78712 Administrative Assistant: Kathryn Murphy kmurphy@cs.utexas.edu GDC 4.318 (512) 471-9515 Research Publications : Most publications are available on-line. Also choose by topic: randomness extractors and applications ; other pseudorandomness and explicit constructions ; coding theory and curve fitting ; communication complexity ; compression and lower bounds ; cryptography, distributed computing, and security ; inapproximability ; random walks on graphs ; randomized algorithms ; finance ; expository . General Audience Essays/Talks: 100-second talk about randomness on the Academic Minute. How random is your randomness, and why does it matter? , with Eshan Chattopadhyay about our recent work. Can Random Coin Flips Speed Up a Computer? The Power of Randomness in Computation , PowerPoint slides. Overview/Bio: Publicity from Science News , CACM , and UT about my recent 2-source extractor , which won a Best Paper Award at STOC 2016. Non-technical research summary Brief Biography C.V. Talks: Selected invited talks Four-part tutorial on Extractors and Expanders at the Simons Institute Pseudorandomness Boot Camp , 2017. PC Chair: FOCS 2019 People: Postdoctoral fellow position available for 2019-20. Prospective students and interns: please read FAQ before emailing me. Current PhD students: William Hoza , Fu Li Current postdocs: Dean Doron (joint with Dana Moshkovitz ), Pooya Hatami Former students: Xue Chen (PhD, 2018), Eshan Chattopadhyay (PhD, 2016), Abhishek Bhowmick (PhD, 2015), Xin Li (PhD, 2011), Raghu Meka (PhD, 2011), Jesse Kamp (PhD, 2007), Anindya Patthak (PhD, 2007), Anup Rao (PhD, 2007) Former postdocs: Mahdi Cheraghchi (2010-11), Ariel Gabizon (2010), Tugkan Batu (2003-04), Amnon Ta-Shma (1999-2000), Alex Russell (1997-99) Algorithms and Computational Theory group Brother: Daniel Zuckerman Teaching Spring 2019: Coding Theory (CS 395T) , a graduate course. Fall 2018: Theory of Computation (CS 353) , an undergraduate course. Spring 2018: Randomized Algorithms (CS 378) , an undergraduate course. Fall 2017: Pseudorandomness (CS 395T), a graduate seminar. Spring 2016: Theory of Computation (CS 388T) , a graduate course. Spring 2014: Combinatorics and Graph Theory (CS 388C) , a graduate course. Spring 2013: Algorithms and Complexity (CS 378, now CS 331) , a required undergraduate course. Fall 2008: Randomized Algorithms (CS 388R) , a graduate course. Spring 2004: Polynomials and Computation (CS 395T), a graduate seminar. Lecture Notes: Pseudorandomness and Combinatorial Constructions (CS 395T) , a graduate-level introduction to my research area (2001). Last modified: January 25, 2019. diff --git a/src/data/compiled_bios/4043.txt b/src/data/compiled_bios/4043.txt new file mode 100644 index 0000000000..bcd2c2ac3d --- /dev/null +++ b/src/data/compiled_bios/4043.txt @@ -0,0 +1 @@ +Gagan Agrawal. Professor, Computer Science & Engineering. 2015 Neil Ave. 395 Dreese labs; 781 Dreese Labs. Columbus,. OH. 43210. 614-688-8450. agrawal.28@osu.edu. http://web.cse.ohio-state.edu/~agrawal. Papers in Proceedings2012. Zhu, Q.; Agrawal, G.. "Resource provisioning with budget constraints for adaptive applications in cloud environments.". (12. 2012).. Zhu, Q.; Agrawal, G.. "Resource Provisioning with Budget Constraints for Adaptive Applications in Cloud Environments..". (1. 2012).. Zhu, Q.; Agrawal, G.. "Resource Provisioning with Budget Constraints for Adaptive Applications in Cloud Environments.". (10. 2012).. Zhu, Q.; Agrawal, G.. "Resource Provisioning with Budget Constraints for Adaptive Applications in Cloud Environments.". (1. 2012).. 2010. Tekin Bicer, Wei Jiang, and Gagan Agrawal. "Supporting Fault Tolerance in a Data-Intensive Computing Middleware.". in proceedings of International Parallel and Distributed Processing Symposium (IPDPS).. (4. 2010).. Ma, W.; Agrawal, G.. "AUTO-GC: Automatic translation of data mining applications to GPU clusters.". (7. 2010).. Jiang, W.; Ravi, V.T.; Agrawal, G.. "A Map-reduce system with an Alternate API for multi-core environments.". (7. 2010).. Tantan Liu, Fan Wang, and Gagan Agrawal. "Instance Discovery and Schema Matching With Applications to Biological Deep Web Data Integration.". in International Conference on Bioinformatics and Bioengineering (BIBE).. (5. 2010).. Wang, F.; Agrawal, G.. "A self-healing approach for a domain-specific deep web search tool.". (9. 2010).. Ravi, V.T.; Ma, W.; Chiu, D.; Agrawal, G.. "Compiler and runtime support for enabling generalized reduction computations on heterogeneous parallel configurations.". (7. 2010).. Bicer, T.; Jiang, W.; Agrawal, G.. "Supporting fault tolerance in a data-intensive computing middleware.". (7. 2010).. Liu, T.; Wang, F.; Agrawal, G.. "Instance discovery and schema matching with applications to biological deep web data integration.". (11. 2010).. Qian Zhu and Gagan Agrawal. "Resource Provisioning with Budget Constraints for Adaptive Applications in Cloud Environments.". in proceedings of High PerformanceDistributed Computing (HPDC).. (6. 2010).. Vignesh T. Ravi, Wenjing Ma, David Chiu, and Gagan Agrawal. "Compiler and RuntimeSupport for Enabling Generalized Reduction Computations on Heterogeneous Parallel Configurations.". in proceedings of International Conference on Supercomputing (ICS).. (6. 2010).. Wei Jiang, Vignesh T. Ravi and Gagan Agrawal. "A Map-Reduce System with an Alternate APIfor Multi-Core Environments.". in proceedings of Conference on Cloud Computing and the Grid (CCGRID).. (5. 2010).. Wenjing Ma and Gagan Agrawal. "AUTO-GC: Automatic Translation of Data Mining Applications to GPU Clusters.". in proceedings of Workshop on High-level Parallel Programming Models and Supportive Environments, held in conjunction with International Parallel and Distributed Processing Symposium (IPDPS).. (4. 2010).. Fan Wang and Gagan Agrawal. "A Self-Healing Approach for A Domain-Specific Deep Web Search Tool.". in International Conference on Bioinformatics and Bioengineering (BIBE).. (5. 2010).. 2009. Ravi, V.T.; Agrawal, G.. "Integrating and Optimizing Transactional Memory In a Data Mining Middleware.". (1. 2009).. Chiu, D.; Deshpande, S.; Agrawal, G.; Li, R.. "A Dynamic Approach toward QoS-Aware Service Workflow Composition.". (1. 2009).. Jiang, W.; Ravi, V.T.; Agrawal, G.; IEEE,. "Comparing Map-Reduce and FREERIDE for Data-Intensive Applications.". (1. 2009).. Liu, T.; Wang, F.; Agrawal, G.. "Exploiting Parallelism to Accelerate Keyword Search on Deep-Web Sources.". (1. 2009).. Fan Wang and Gagan Agrawal. "Extracting Output Metadata from Scientific Deep Web Data Sources.". in proceedings of International Conference on Data Mining (ICDM).. (12. 2009).. Zhu, Q.; Agrawal, G.. "Supporting Fault-Tolerance for Time-Critical Events in Distributed Environments.". in Conference on High Performance Computing Networking, Storage and Analysis.. (1. 2009).. Wang, F.; Agrawal, G.. "Extracting Output Metadata from Scientific Deep Web Data Sources.". in 9th IEEE International Conference on Data Mining.. (1. 2009).. Ravi, V.T.; Agrawal, G.. "Integrating and Optimizing Transactional Memory In a Data Mining Middleware.". in 16th International Conference on High Performance Computing (HiPC 2009).. (1. 2009).. Glimcher, L.; Ravi, V.T.; Agrawal, G.. "Supporting Load Balancing For Distributed Data-Intensive Applications.". in 16th International Conference on High Performance Computing (HiPC 2009).. (1. 2009).. Chiu, D.; Deshpande, S.; Agrawal, G.; Li, R.. "A Dynamic Approach toward QoS-Aware Service Workflow Composition.". in IEEE International Conference on Web Services (ICWS 2009).. (1. 2009).. Jiang, W.; Ravi, V.T.; Agrawal, G.. "Comparing Map-Reduce and FREERIDE for Data-Intensive Applications.". in IEEE International Conference on Cluster Computing (Cluster 2009).. (1. 2009).. Liu, T.; Wang, F.; Agrawal, G.. "Exploiting Parallelism to Accelerate Keyword Search on Deep-Web Sources.". in 6th International Workshop on Data Integration in the Life Sciences.. (1. 2009).. Glimcher, L.; Ravi, V.T.; Agrawal, G.. "Supporting Load Balancing For Distributed Data-Intensive Applications.". (1. 2009).. Zhu, Q.; Agrawal, G.; IEEE,. "Supporting Fault-Tolerance for Time-Critical Events in Distributed Environments.". (1. 2009).. Wang, F.; Agrawal, G.. "Extracting Output Metadata from Scientific Deep Web Data Sources.". (1. 2009).. Fan Wang, Yuan Hong, Wenbin Zhang, and Gagan Agrawal. "Personality Based Latent FriendshipMining.". in proceedings of International Conference on Data Mining (DMIN.. (7. 2009).. Liu, T.; Wang, F.; Agrawal, G.. "Exploiting parallelism to accelerate keyword search on deep-web sources.". (11. 2009).. Leonid Glimcher, Vignesh T. Ravi, and Gagan Agrawal. "Supporting Load Balancing ForDistributed Data-Intensive Applications.". in proceedings of conference on High PerformanceComputing (HiPC).. (12. 2009).. Chiu, D.; Deshpande, S.; Agrawal, G.; Li, R.. "A dynamic approach toward QoS-Aware service workflow composition.". (11. 2009).. Wang, F.; Agrawal, G.. "Extracting output metadata from scientific deep web data sources.". (12. 2009).. Vignesh T. Ravi and Gagan Agrawal. "Integrating and Optimizing Transactional Memory Ina Data Mining Middleware.". in proceedings of conference onHigh Performance Computing (HiPC).. (12. 2009).. Ravi, V.T.; Agrawal, G.. "Integrating and optimizing transactional memory in a data mining Middleware.". (12. 2009).. Jiang, W.; Ravi, V.T.; Agrawal, G.. "Comparing map-reduce and FREERIDE for data-intensive applications.". (12. 2009).. Tantan Li, Fan Wang, and Gagan Agrawal. "Exploiting Parallelism to Accelerate Keyword Search On Deep-web Sources.". in proceedings of Conference on Data Integration for Life Sciences (DILS).. (7. 2009).. Zhu, Q.; Agrawal, G.. "Supporting fault-tolerance for time-critical events in distributed environments.". (12. 2009).. Wei Jiang, Vignesh T. Ravi, and Gagan Agrawal. "Comparing map-reduce and FREERIDE for data-intensive applications.". in proceedings of CLUSTER.. (9. 2009).. Glimcher, L.; Ravi, V.T.; Agrawal, G.. "Supporting load balancing for distributed data-intensive applications.". (12. 2009).. Qian Zhu and Gagan Agrawal. "Supporting Fault-Tolerance for Time-Critical Events in Distributed Environments.". in Proceedings of SC.. (11. 2009).. David Chiu, Saagar Deshpande, Gagan Agrawal, and Ron Li. "A Dynamic Approach towards QoS-AwareService Workflow Composition.". in proceedings of International Conference on Web Services(ICWS).. (7. 2009).. Zhu, Q.; Agrawal, G.. "Supporting fault-tolerance for time-critical events in distributed environments..". (1. 2009).. Department ofComputer Science and Engineering395 Dreese Laboratories2015 Neil AvenueColumbus, OH 43210-1277(614) 292-5813 Phone(614) 292-2911 Fax. Support CSE. Invest in a Buckeye. Your gift will make a difference.. Connect. facebookyoutube. 2019 The Ohio State UniversityAccessibilityPrivacy PolicyHelpLogin. diff --git a/src/data/compiled_bios/4044.txt b/src/data/compiled_bios/4044.txt new file mode 100644 index 0000000000..7dfd896a96 --- /dev/null +++ b/src/data/compiled_bios/4044.txt @@ -0,0 +1 @@ +Anish Arora. Professor, Computer Science & Engineering. 587 Dreese Laboratories. 2015 Neil Ave. Columbus,. OH. 43210. 614-292-1836. arora.9@osu.edu. http://web.cse.ohio-state.edu/~anish. Honors. May, 2016-June, 2016. Best of the Rest Paper, USENIX ATC 2016.. March, 2016. Best Student Paper Award, NSDI 2016.. April, 2013. ACM/IEEE IPSN 2013 Best Paper Runner Up.. October, 2012. IEEE MASS Conference Best Paper Award.. January, 2009. OSU College of Engineering Lumley Research Award.. January, 2008. IEEE Fellow.. January, 2003. OSU College of Engineering Lumley Research Award.. January, 2003. IEEE Computer Society Certificate of Appreciation.. January, 2002. ICDCS Best Paper Award for Convergence Refinement.. January, 2001. N. Rama Rao Chair Visiting Professorship, Indian Institute of Technology, Kanpur.. January, 1998-January, 1999. Ameritech Faculty Fellow.. January, 1999. OSU College of Engineering Research Accomplishment Award.. January, 1999. IEEE Computer Society Certificate of Appreciation.. January, 1993-January, 1996. NSF Research Initiation Award.. January, 1991. Karuizawa'91: Advanced Course in Distributed Systems.. January, 1991. MCC Best Paper Award for Distributed Reset.. January, 1990. Intl. Summer School on Programming and Mathematical Method.. January, 1986-January, 1988. Microelectronics and Computer Development Fellowship.. January, 1980-January, 1986. National Talent Search Scholarship, India.. January, 1986. Phi Kappa Phi, Beta Alpha Phi, and Upsilon Pi Epsilon.. January, 1986. J.N. Tata Scholarship for Higher Studies, India.. Chapters2011. 2011.. KanseiGenie: Software infrastructure for resource management and programmability of wireless sensor network fabrics.. In Next Generation Network Architecture,. edited by Krishna Moorthy Sivalingam et al,. 2010. 2010.. ExScal: Designing for scale.. In Wireless Sensor Networks Deployments and Design Frameworks,. edited by E. Gaura, L. Girod, J. Brusey, M. Allen, G.W. Challen,. 2010.. ExScal: Designing with Scale.. In Wireless Sensor Networks Deployments and Design Frameworks,. edited by Wireless Sensor Networks Deployments and Design Frameworks,. 2009. 2009.. Stabilizing reconfiguration in wireless sensor networks.. In Security in Ad Hoc and Sensor Networks,. edited by R. Beyah, J. McNair, C. Corbett,. 2008. 2008.. Maximizing the lifetime of an always-on wireless sensor network application: A case study.. In Wireless Sensor Networks and Applications,. edited by Yingshu Li, My Thai, and Weili Wu,. 2007. 2007.. Adding Fault-Tolerance to State Machine-Based Designs.. In Software Engineering of Fault Tolerant Systems,. edited by P. Pelliccione, N. Guelfi, H. Muccini, A. Romanovsky,. 2007.. Messaging in sensor networks: Addressing wireless communications and application diversity.. In Handbook of Real-Time and Embedded Systems,. edited by Insup Lee, Joe Leung, and Sang Son,. 2006. 2006.. Pursuer-evader tracking in sensor networks.. In Sensor Network Operations,. edited by Shashi Phoha, Thomas F. La Porta, Christopher Griffin,. 2005. 2005.. Antireplay protocols for sensor networks.. In Handbook on Theoretical and Algorithmic Aspects of Sensor, Ad Hoc Wireless, and Peer-to-Peer Networks,. edited by Jie Wu,. 2002. 2002.. Model-based design of dependability in distributed systems.. In Concurrency in Distributed Computing,. edited by Paul Echzilchelvan and Alexander Romanovsky,. 1994. 1994.. Constraint-satisfaction as a basis for designing nonmasking fault-tolerance.. In Specification of Parallel Algorithms (DIMACS: Series in Discrete Mathematics and Theoretical Computer Science),. edited by G. E. Blelloch, K. M. Chandy, and S. Jagannathan,. Unknown. "Compositional design and mechanical synthesis of dependability.". In Mechanization of Inference,. edited by N. Tennent,. "The many facets of system stabilization.". In Encyclopedia of Distributed Computing,. edited by Partha Dasgupta and Joseph E. Urban,. Journal Articles2018. Kulathumani, V.; Nakagawa, M.; Arora, A.K.,. 2018,. EZ-AG: Structure-free data aggregation in MANETs using push-assisted self-repelling random walks.. Journal of Internet Services and Applications (JISA). 9,. no. 5,. 1-14 -. 1-14.. 2017. Kulathumani, V.; Nakagawa, M.; Arora, A.K.,. 2017,. Coverage characteristics of self-repelling random walks in mobile ad-hoc networks.. arXiv. arXiv preprint arXiv:1708.07049,. 1-9 -. 1-9.. Ghosh, A.; Chattopadhyay, A.; Arora, A.; Kumar, A.,. 2017,. "Measurement Based As-You-Go Deployment of Two-Connected Wireless Relay Networks.". ACM Transactions on Sensor Networks. 13,. no. 3,. 1-23 -. 1-23.. 2016. Murat Demirbas and Anish Arora,. 2016,. Specification-Based Design of Self-Stabilization.. IEEE Transactions on Parallel and Distributed Systems. 27,. no. 1,. 263-270 -. 263-270.. 2015. Murat Demirbas and Anish Arora,. 2015,. "Specification-based design of self-stabilization.". IEEE Transactions on Parallel and Distributed Systems. PP,. no. 99,. 1 -. 1.. 2014. Jing Li, Jin He, Anish Arora,. 2014,. "ThermoNet: Fine-grain assessment of building comfort and efficiency.". Journal of Ambient Intelligence and Humanized Computing. 5,. no. 3,. 369-382 -. 369-382.. Jing Li, Wenjie Zeng, and Anish Arora,. 2014,. "The configuration space of duty-cycled CSMA-based wireless MACs.". Wireless Networks. 20,. no. 8,. 2561-2579 -. 2561-2579.. Vinod Kulathumani, Mukundan Sridharan, Anish Arora, Bryan Lemon, and Kenneth Parker,. 2014,. "On the repair time scaling wall for MANETs.". 2012. Taewoo Kwon, Emre Ertin, Anish Arora,. 2012,. Reproducing consistent wireless protocol performance across environments.. Ad Hoc Networks. 10,. no. 4,. 696-708 -. 696-708.. Taewoo Kwon, Emre Ertin, and Anish Arora,. 2012,. Reproducing consistent wireless protocol performance across environments.. Ad Hoc Networks. 10,. no. 4,. 696-708 -. 696-708.. 2011. Kulathumani,Vinod; Arora, Anish; Ramagiri,Sricharan,. 2011,. "Pursuit Control over Wireless Sensor Networks using Distance Sensitivity Properties.". IEEE Transactions on Automatic Control. 56,. no. 10,. 2473-2478 -. 2473-2478.. Lifeng Sang and Anish Arora,. 2011,. "A Shared-secret Free Security Infrastructure For Wireless Networks.". Transactions on Autonomous and Adaptive Systems. 2010. L. Sang, A. Arora, H, Zhang,. 2010,. "On link asymmetry and one-way estimation in wireless sensor networks.". ACM Transactions on Sensor Networks (TOSN). 2,. no. 6,. 12 -. 12.. 2009. V. Kulathumani, A. Arora, M. Sridharan, and M. Demirbas,. 2009,. "Trail: A distance-sensitivesensor network service for distributed object tracking.". ACM Transactions on Sensor Net-works TOSN,. 5,. no. 2,. H. Zhang, A. Arora and P. Sinha,. 2009,. "Link estimation and routing in sensor network backbones: Beacon-based or data-driven?.". IEEE Transactions on Mobile Computing. 8,. no. 5,. 653-667 -. 653-667.. M. Demirbas, A. Arora, and V. Kulathumani,. 2009,. "Glance: A lightweight querying service forwireless sensor networks.". Theoretical Computer Science. 410,. no. 6-7,. 500-513 -. 500-513.. S. Bapat, W. Leal, T. Kwon, P. Wei, and A. Arora,. 2009,. "Chowkidar: Reliable and scalablehealth monitoring for wireless sensor network testbeds.". ACM Transactions on Autonomousand Adaptive Systems (TAAS). 4,. no. 1,. 2008. A. Ebnenasir, S. Kulkarni, and A. Arora,. 2008,. "FTSyn: a framework for automatic synthesis offault-tolerance.". International Journal on Software Tools for Technology Transfer (STTT). 10,. no. 5,. 455-477 -. 455-477.. Cao,Hui; Ertin,Emre; Arora,Anish,. 2008,. "MiniMax Equilibrium of Networked Differential Games.". ACM TRANSACTIONS ON AUTONOMOUS AND ADAPTIVE SYSTEMS. 3,. no. 4,. 14 -. 14.. 2007. S. Kumar, T.-H. Lai, and A. Arora,. 2007,. "Barrier coverage with wireless sensors.". WirelessNetworks (WINET) special issue, Springer-Verlag. 13,. no. 6,. 817-834 -. 817-834.. H. Zhang, A. Arora, Y-R. Choi, and M. Gouda,. 2007,. "Reliable bursty convergecast in wirelesssensor networks.". Computer Communications (Elsevier), special issue on Sensor-ActuatedNetworks. 30,. no. 13,. 2560-2576 -. 2560-2576.. A. Arora, M. Gouda, J. Hallstrom, T. Herman, W. Leal, and N. Sridhar,. 2007,. "A state-based language for sensor-actuator networks.". Special issue on wireless sensor network architecture, ACM SIGBED Review,. 4,. no. 3,. 25-30 -. 25-30.. 2006. S. Kulkarni, M. Gouda, and A. Arora,. 2006,. "Security instantiation for ad hoc networks.". Journal of Computer Communications, special issue on Dependable Wireless Sensor Networks. 29,. no. 2,. 200-215 -. 200-215.. Y.-R. Choi, M. Gouda, H. Zhang, and A. Arora,. 2006,. "Stabilization of grid routing in sensor networks.". AIAA Journal of Aerospace Computing, Information, and Communication. 214-233 -. 214-233.. A. Arora, S. Kulkarni, and M. Demirbas,. 2006,. "Resettable vector clocks.". Journal of Paralleland Distributed Computing (JPDC). 66,. no. 2,. 221-237 -. 221-237.. A. Arora and H. Zhang,. 2006,. "LSRP: Local stabilization in shortest path routing.". IEEE/ACMTransactions on Networking. 14,. no. 3,. 520-531 -. 520-531.. M. Demirbas, A. Arora, V. Mittal, and V. Kulathumani,. 2006,. "A fault-local self-stabilizing clusteringservice for wireless ad hoc networks.". IEEE Transactions on Parallel and DistributedSystems, special issue on Localized Communication and Topology Protocols for Ad HocNetworks. 17,. no. 4,. 912-922 -. 912-922.. 2005. A. Arora and M. Theimer,. 2005,. "On modeling and tolerating incorrect software.". Journal of High Speed Networks. 14,. no. 2,. 109-134 -. 109-134.. A. Arora and M. Nesterenko,. 2005,. "Unifying stabilization and termination in message-passings systems.". Distributed Computing. 17,. no. 3,. 279-290 -. 279-290.. 2004. P. C. Attie, A. Arora, and E. A. Emerson,. 2004,. "Synthesis of fault-tolerant concurrent programs.". ACM Transactions on Programming Languages and Systems (TOPLAS). 26,. no. 1,. 125-185 -. 125-185.. 2003. V. Naik, A. Arora, S. Bapat, and M.G. Gouda,. 2003,. "Whisper: Local secret maintenance in sensor networks.". IEEE Distributed Systems Online. M. Sun, L. Huang, S. Wang, A. Arora, and T.H. Lai,. 2003,. "Reliable MAC layer multicast in IEEE 802.11 wireless networks.". Wiley Wireless Communications and Mobile Computing,special issue on Research in Ad Hoc Networking, Smart Sensing, and Pervasive Computing. J. Hallstrom, W. Leal, and A. Arora,. 2003,. "Scalable evolution of highly available systems.". IEICE/IEEE Transactions on Information and Systems, joint special issue on AssuranceSystems and Networks. E86,. no. 10,. 2154-2166 -. 2154-2166.. 2002. M. Nesterenko and A. Arora,. 2002,. "Stabilization-preserving atomicity refinement.". Journal ofParallel and Distributed Computing, special issue on Self-Stabilization. 62,. no. 5,. 766-791 -. 766-791.. H. Zhang and A. Arora,. 2002,. "GS3: Scalable self-configuration and self-healing in wireless networks.". Proceedings of the 21th ACM Symposium on Principles of Distributed Computing(PODC'2002). 58-67 -. 58-67.. 2001. W. Leal and A. Arora,. 2001,. "State-level and value-level simulations in data refinement.". In-formation Processing Letters, special issue on retirement of Professor Edsger W. Dijkstra,invited paper. 72,. no. 2-4,. 159-167 -. 159-167.. 1998. A. Arora and S. Kulkarni,. 1998,. "Detectors and correctors: A theory of fault-tolerance components.". ICDCS'98, invited to appear in IEEE Transactionsof Computers. A. Arora and S. Kulkarni,. 1998,. "Designing masking fault-tolerance via nonmasking fault-tolerance.". IEEE Transactions on Software Engineering. 24,. no. 6,. 435`-450 -. 435`-450.. S. Kulkarni and A. Arora,. 1998,. "Multitolerance in distributed reset.". Chicago Journal of Theoretical Computer Science. 46 -. 46.. A. Arora and S. Kulkarni,. 1998,. "Component based design of multitolerance.". IEEE Transactionson Software Engineering. 24,. no. 1,. 63-78 -. 63-78.. 1997. S. Kulkarni and A. Arora,. 1997,. "Multitolerance in barrier computations.". Information Processing Letters. 64,. 29-36 -. 29-36.. G. Varghese, A. Arora, and M. G. Gouda,. 1997,. "Self-stabilization by tree correction.". Chicago Journal of Theoretical Computer Science. 3,. 32 -. 32.. 1996. A. Arora, M. G. Gouda, and G. Varghese,. 1996,. "Constraint satisfaction as a basis for designing nonmasking fault-tolerant systems.". Journal of High Speed Networks. 5,. no. 3,. 293-306 -. 293-306.. 1995. A. Arora and A. Singhai,. 1995,. "Fault-tolerant reconfiguration of trees and rings in distributed systems.". Journal of High Integrity Systems. 4,. no. 1,. 375-384 -. 375-384.. 1994. A. Arora and M. G. Gouda,. 1994,. "Distributed reset.". IEEE Transactions on Computers. 43,. no. 9,. 1026-1038 -. 1026-1038.. 1993. A. Arora and M. G. Gouda,. 1993,. "Closure and convergence: A foundation of fault-tolerant computing.". IEEE Transactions on Software Engineering. 19,. no. 11,. 1015-1027 -. 1015-1027.. A. Arora, P. Attie, M. Evangelist, and M. G. Gouda,. 1993,. "Convergence of iteration systems.". Distributed Computing. 7,. no. 1,. 43-53 -. 43-53.. 1991. A. Arora, S. Dolev, and M. G. Gouda,. 1991,. "Maintaining digital clocks in step.". Parallel Processing Letters. 1,. no. 1,. 11-18 -. 11-18.. Unknown. Jing Li, Jin He, Anish Arora,. "ThermoNet: Fine-grain assessment of building comfort and efficiency.". Journal of Ambient Intelligence and Humanized Computing (JAIHC). J. Li, W. Zeng, A. Arora,. , "The configuration space of duty-cycled CSMA-based wireless MACs.. Wireless Networks. A. Arora,. "Efficient reconfiguration of trees: A case study in the methodical design of nonmasking fault-tolerance.". Science of Computer Programming. Bello, J.P.; Silva, C.; Nov, O.; DuBois, R.L. et al.,. SONYC: A System for the Monitoring, Analysis and Mitigation of Urban Noise Pollution.. COMMUNICATIONS OF THE ACM. Presentations. Taming the Environment in Wireless Sensor Networks: A Case for Robust Design.. 2015,. Presented at The Fourteenth International Workshop on Assurance in Distributed Systems and Networks (ADSN 2015),. "Taming the environment in wireless sensor networks.". 2016,. Presented at Distinguished Lecture Series at Florida Atlantic University,. "A Foundation of Fault-Tolerant Computing.". 1992,. Presented at The University of Maryland,. "A Foundation of Fault-Tolerant Computing.". 1992,. Presented at The University of Texas,. "A Foundation of Fault-Tolerant Computing.". 1992,. Presented at Carnegie-Mellon University,. "Designing Masking Tolerance from Nonmasking Tolerance.". 1995,. Presented at Wayne State University,. "Engineering Fault-tolerant Network Systems.". 1997,. Presented at Lucent Technologies,. "Components for Fault-tolerance: Theory and Application.". 1998,. Presented at IBM T. J. Watson Research Center,. "Components for Fault-tolerance: Theory and Application.". 1998,. Presented at Bell Labs,. "Components for Fault-tolerance: Theory and Application.". 1998,. Presented at Dagstuhl Seminar on Self-Stabilization,. "Dependability via Components.". 1998,. Presented at Computer Engineering Seminar Series,. "Dependability via Components.". 1998,. Presented at Distinguished Seminar, Kansas State University,. "Self-Stabilization in the Berkeley and Boeing NEST Platforms.". 2001,. Presented at Huntington Beach,. "On Modeling and Tolerating Incorrect Software.". 2002,. Presented at CIRM Seminar on Self-Stabilization,. "Deconstructing Self-Stabilization.". 2002,. Presented at CIRM Seminar on Self-Stabilization,. "Scalable Fault-Tolerance and Security in Sensor Network Platforms.". 2003,. Presented at Electrical Engineering, The Ohio State University,. "On Scalable, Dependable NEST services for Tracking.". 2003,. Presented at DARPA NEST Workshop,. "Self-stabilization in Network Services.". 2003,. Presented at Carnegie Mellon University,. "On Local Healing in Large Scale Sensor Networks.". 2003,. Presented at Mini-Workshop on Fundamentals of Sensor Webs (FuSe), UC at Berkeley,. "Taking Stabilization to the Masses: Problems, Opportunities & Progress.". 2003,. Presented at Seventh Symposium on Self-Stabilizing (Keynote Address),. "On Local Healing in Large Scale Sensor Networks.". 2003,. Presented at University of California at Berkeley NEST Retreat,. "On Local Healing in Large Scale Networks.". 2003,. Presented at MIT,. "ALineInTheSand.". 2003,. Presented at MacDill AirForce Base DARPA NEST Field Experiment,. "Lessons from an Extreme Scale WSN Experiment.". 2005,. Presented at Nokia Workshop on Large Scale Wireless Sensor Networks and their Applications,. "The State of the Art in Wireless Sensor Network Applications and Research Issues in Large Scale Wireless Sensor Networks.". 2006,. Presented at ETRI, Daejon,. "The State of the Art in Wireless Sensor Network Applications and Research Issues in Large Scale Wireless Sensor Networks.". 2006,. Presented at Samsung SAIT,. "ExScal: A Perspective on Large Scale Wireless Sensor Networks.". 2006,. Presented at Seventh International Conference on Mobile Data Management (MDM'06) (Keynote Speech),. "Experimentation in Large Scale Wireless Sensor Networks.". 2006,. Presented at Osaka University,. "ExScal: A Perspective on Large Scale Wireless Sensor Networks.". 2006,. Presented at Second Intl. Conf. on Wireless Communication and Sensor Networks (WCSN),. "A Personal Perspective on Large Scale Wireless Sensor Networks.". 2006,. Presented at Motorola Labs,. "On Sensorset 2.0: Getting Sensornet 1.0 Right.". 2007,. Presented at Microsoft Research Faculty Summit,. "Disruptive Technology Elements of Sensor Networks.". 2007,. Presented at Los Alamos National Labs,. "PeopleNet: Sensing by the People, for the People, and of the People.". 2009,. Presented at Microsoft Research India,. "PeopleNet: Sensing by the People, for the People, and of the People.". 2009,. Presented at IBM India R&D Labs,. "PIR Wireless Sensor Networks.". 2009,. Presented at Joint IISc-DRDO Seminar,. "Trust in Wireless Sensor Network Fabrics.". 2009,. Presented at AFRL-SAIC AMSA Program Kickoff,. "KanseiGENIE: GENI-fying and Federating Autonomous Wireless Sensor Network Systems'.". 2009,. Presented at Geni Engineering Conference GEC-5,. "Virtualization Support for Rapidly Deployed Sensor Network Fabrics for Surveillance.". 2010,. Presented at NSF IUCRC on Surveillance Kickoff Meeting,. "Distributed Reset.". 1990,. Presented at Indian Institute of Technology,. "Rethinking Security for a World of Networked Devices.". 2012,. Presented at ICDCN 2012: 13th International Conference on Distributed Computing and Networking,. "A Foundation of Fault-Tolerant Computing.". 1991,. Presented at Technische Universiteit Eindhoven,. "A Foundation of Fault-Tolerant Computing.". 1991,. Presented at Indian Institute of Technology,. "Constraint Satisfaction as a Basis for Designing Nonmasking Tolerance.". 1994,. Presented at Dimacs Workshop on Specification of Parallel Algorithms,. "Constraint Satisfaction as a Basis for Designing Nonmasking Tolerance.". 1994,. Presented at University of Washington,. "Designing Masking Tolerance from Nonmasking Tolerance.". 1995,. Presented at Laboratoire du Recherche d'Informatique,. "Designing Multitolerance.". 1995,. Presented at Florida International University,. "Components for Fault-tolerance: Theory and Application.". 1998,. Presented at Bellcore,. "Stabilization in Device Networks: An Experience Report and a Manifesto.". 2000,. Presented at Dagstuhl Seminar on Self-Stabilization,. "Revisiting Locality.". 2001,. Presented at Workshop on Self-Stabilizing System,. "Self-Stabilizing Routing in Wireless Embedded Systems.". 2001,. Presented at Workshop on Reliability in Embedded Systems,. "Experiments in Sensor Network Applications: Kansei Testbed.". 2004,. Presented at NSF HDCCSR Workshop,. "Cross Layer issues in sensor network: A Line in The Sand.". 2004,. Presented at Naval Research Lab Workshop on Cross Layer Issues,. "ExScal Report.". 2004,. Presented at DARPA NEST Workshop,. "The First ExScal Demonstration & Experiments.". 2004,. Presented at DARPA NEST Workshop,. "Lessons from an Extreme Scale Wireless Sensor Network Expedition.". 2007,. "A Little Geometry Goes a Long Way: On Scalable Snapshots.". 2007,. Presented at Dagstuhl on Geometry in Sensor Networks,. "Primitives for Physical Trust.". 2008,. Presented at IEEE Communication Theory Workshop,. "Primitives for Physical Trust.". 2008,. Presented at 10th International Symposium on Stabilization, Safety, and Security of Distributed Systems, Detroit (Keynote Speech),. "Wireless Security without Shared Secrets.". 2009,. "Science by the People, for the People, of the People.". 2009,. Presented at Second Science Conclave (An interaction with Nobel Laureates),. "Rethinking Security in Wireless Sensor Networks with Physical Information (Keynote Speaker).". 2009,. Presented at Fifth IEEE Conference on Wireless Communication and Sensor Networks (WCSN),. "Exploiting Rich Information in WSNs: A Case for Low Power Radar.". 2009,. Presented at Fifth IEEE Conference on Wireless Communication and Sensor Networks (WCSN),. "End to End WSN application design.". 2009,. Presented at Fifth IEEE Conference on Wireless Communication and Sensor Networks (WCSN),. "Distributed Reset.". 1991,. Presented at UT-Austin Research Review,. "A Foundation of Fault-Tolerant Computing.". 1992,. Presented at AT&T Bell Laboratories,. "Designing Multitolerance.". 1995,. Presented at Osaka University,. "Designing Multitolerance.". 1995,. Presented at Nara Institute of Science and Technology,. "Multitolerant Computing: Foundation and Design.". 1996,. Presented at SUNY,. "Multitolerant Computing: Foundation and Design.". 1996,. Presented at Brown University,. "Multitolerant Computing: Foundation and Design.". 1996,. Presented at Purdue University,. "Fault-tolerance in Component Based Systems.". 2000,. Presented at Mini-Symposium on Software Engineering with Components, Rice University,. "Value-level versus State-level Reasoning in Data Type Refinement.". 2000,. Presented at Edsger W. Dijkstra Symposium, University of Texas at Austin,. "Model-based Fault-tolerance.". 2000,. Presented at Logic Seminar, Microsoft Research,. "Stabilization and Self-Healing.". 2001,. Presented at DARPA Self-Healing Workshop,. "Adaptive Tolerance of Unanticipated Faults: Stabilization Revisited.". 2001,. Presented at DARPA FAST Workshop,. "Self-Stabilizing Tracking and Biconnectivity in the Berkeley NEST Platform.". 2002,. Presented at DARPA NEST Workshop,. "Local Self-Stabilizing (in Spite of Byzantine Faults).". 2002,. Presented at DARPA NEST Workshop,. "Tradeoffs, Algorithmic and Validation Issues in Scaling Robustness in Sensor Networks.". 2003,. Presented at DARPA NEST Planning Meeting MIT,. "Report on a LineInTheSand.". 2003,. Presented at DARPA NEST Workshop,. "Overview of Project Echelon.". 2003,. Presented at DARPA NEST Workshop,. "Minitask Report on Robust NEST Systems.". 2003,. Presented at DARPA NEST Workshop,. "Minitask Report on Robust Messaging Services.". 2003,. Presented at DARPA NEST Workshop,. "Exemplars of Algorithmic Techniques for Large-Scale Sensor Networks.". 2004,. Presented at NSF NeTS (Sensor Networks Program) Informational Workshop,. "Project ExScal: Some Issues in the Extreme Scaling of Sensor Networks.". 2005,. Presented at Kent State University,. "Project ExScal: Some Issues in the Extreme Scaling of Sensor Networks.". 2005,. Presented at National Taiwan University, Workshop on Wireless Sensor Networks,. "ExScal: Elements of an Extreme Scale Wireless Sensor Network.". 2005,. Presented at Microsoft Research,. "Towards Closing the Loop in ExScal: Pursuer-Evader Hybrid Tracking Demonstration & Experiments.". 2005,. Presented at DARPA NEST Workshop, Richmond Field Station,. "Kansei: A full-featured WSN testbed.". 2007,. Presented at Embedded Command and Control (DARPA/NAVAir) Workshop,. "Sensing By the People, For the People, and Of the People.". 2008,. Presented at International Workshop on Mobile Device and Urban Sensing (Keynote Speech),. "KanseiGENIE: GENI-fying and Federating Autonomous Wireless Sensor Network Systems.". 2008,. Presented at 3rd NSF GENI Engineering Conference,. "Low Power Signal Processing: High Relative Resolution for the Price of Low Absolute Resolution.". 2009,. Presented at Indian Institute of Information Technology,. "HCI in Wireless Sensor-Actuator Network Computing.". 2009,. Presented at Second IEEE International Conference on Intelligent Human Computer Interaction (IHCI 2010),. "Experiences in Building Wireless Sensor Networks for Surveillance.". 2009,. Presented at NSF IUCRC on Surveillance Planning Meeting,. "KanseiGENIE: GENI-fying and Federating Autonomous Wireless Sensor Network Systems'.". 2009,. Presented at BBN Technologies,. "Wireless Sensor Kits in Education.". 2011,. Presented at Fourth Nobel Laureate Science Conclave,. "GENI and Science Education Kits.". 2011,. Presented at GENI Engineering Conference (GEC-10),. "Excellence in Education.". 2011,. Presented at Fourth Nobel Laureate Science Conclave,. "Physical Layer Security in Wireless Sensor Networks.". 2011,. Presented at WCSN 2011: Seventh IEEE Conference on Wireless Communication and Sensor Networks,. "ThermoNet: Fine-Grain Assessment of Building Comfort and Efficiency.". 2011,. Presented at The Ohio State University Department of Industrial Systems Engineering,. "NSF-DIT Initiative for Wildlife and Human Protection using Virtual Fences, Activity Region Monitors, and Forest Probes.". 2011,. Presented at Application of Wireless Sensor Networks for Protection of Forests and Wildlife, Safety of Mines and Health Care,. "Convergence of Iteration Systems.". 1989,. Presented at Indian Institute of Technology,. "A Foundation of Fault-Tolerant Computing.". 1992,. Presented at University of Delaware,. "A Foundation of Fault-Tolerant Computing.". 1992,. Presented at The Ohio State University,. "A Foundation of Fault-Tolerant Computing.". 1994,. Presented at University of Virginia,. "Compositional Design and Mechanical Synthesis of Dependability.". 1996,. Presented at Interdisciplinary Seminar on Mechanization of Inference,. "Components for Fault-tolerance: Theory and Application.". 1998,. Presented at University of Cincinnati,. "Dependability Components and Component Implementation.". 1999,. Presented at University of Texas at Austin,. "Specification-based Dependability.". 2001,. Presented at Vanderbilt University,. "Self-Stabilization in Network Embedded Software Technology (NEST).". 2001,. Presented at DARPA NEST Workshop,. "Self-Stabilization Implementation and Synthesis Frameworks for NEST.". 2002,. Presented at DARPA NEST Workshop,. "Experiments on Eect of Faults in NEST Control Applications and Services.". 2002,. Presented at Beoing NEST Workshop,. "Protection of Network Embedded Systems via Fault-Tolerance.". 2002,. Presented at NSF-OSTP Technical Workshop on Critical Infrastructure Protection,Panel on Network Embedded Systems,. "On Tradeoffs in Scalable, Dependable NEST services.". 2003,. Presented at DARPA NEST Workshop,. "Experiences and Lessons Learned in ALineInTheSand.". 2003,. Presented at DARPA NEST Extreme Scale Planning Workshop,. "Some Lessons in Self-Stabilization from Experiments in Sensor Networking.". 2004,. Presented at BIRS-PIMS Seminar on Self-Stabilization,. "Lessons from an "Extreme Scale" Expedition.". 2005,. Presented at Netted Sensors Community Workshop,. "Games in Dense Sensor Cells.". 2005,. Presented at Nokia Follow-on Workshop in Large Scale Sensor Networks,. "On Spatial Scaling in Sensor Networks.". 2006,. Presented at University of Notre Dame,. "The State of the Art in Wireless Sensor Network Applications and Research Issues in Large Scale Wireless Sensor Networks.". 2006,. Presented at Kookmin University,. "Geometry-based Distance Sensitivity in Network-Assisted Object Tracking.". 2006,. Presented at NSF Workshop on Geometric Approaches to Ad Hoc and Sensor Networks,. "Codesign of a Tracking Application and its Networking Support.". 2007,. Presented at Indian Institute of Science,. "ThermoNet: Fine-Grain Building Comfort-Efficiency Assessment.". 2011,. Presented at BuildSys 2011, 3rd ACM Workshop On Embedded Sensing, Systems For Energy-Efficiency In Buildings,. "A Foundation of Fault-Tolerant Computing.". 1992,. Presented at Bell Communications Research Labs,. "PeopleNet: Sensing by the People, for the People, and of the People.". 2009,. Presented at Motorola R&D India Labs,. "Low Power Signal Processing: High Relative Resolution for the Price of Low Absolute Resolution.". 2009,. Presented at Joint IISc-DRDO Seminar,. "Extreme Scale MANETs.". 2012,. Presented at Fifth Nobel Laureate Science Conclave,. Wireless Sensor Networks for Protecting Wildlife and Humans.. 2013,. Presented at Third Indo-US Workshop on Pervasive Communications and Computing Collaboration,. GENI and Science Education Kits.. 2012,. Presented at NSF Workshop on Distributed Systems Education,. "Extreme Scale MANETs.". 2012,. Presented at WCSN-2012: Eighth International Conference on Wireless Communication and Sensor Networks,. "Mote-Scale Learning.". 2013,. Presented at Ninth International Conference on Wireless Communication and Sensor Networks,. "Architecture of Scalable Mobile Computing.". 2013,. Presented at Sixth Nobel Laureate Science Conclave,. ""WSNs for Disaster Management".". 2013,. Presented at NSF Workshop on Big Data in Disaster Management,. "Distributed Reset.". 1990,. Presented at Indian Institute of Science,. "Unattended Ground Sensors versus Wireless Sensor Networks.". 2009,. Presented at DRDO,. "Multitolerant Computing: Foundation and Design.". 1996,. Presented at University of Iowa,. "Green Computing with Wireless Sensor Networks.". 2014,. Presented at Seventh Nobel Laureate Science Conclave,. Wireless Software Defined Networks and Experiment Based Research.. 2015,. Presented at The International Workshop on Computer and Networking Experimental Research Using Testbeds,. "New Concepts in Wildlife and Human Protection using Virtual Fences, Activity Region Monitors, and Forest Probes.". 2012,. Presented at Application of Wireless Sensor Networks for Protection of Forests and Wildlife, Safety of Mines and Health Care,. Wireless Sensor Networks for Protecting Wildlife and Human.. 2012,. Presented at Second Indo-US Workshop on Pervasive Communications and Computing Collaboration,. Repurposable, Rapidly Deployed Wireless Sensor Networks.. 2012,. Presented at NSF/CCC Workshop on Computing for Disaster Management,. "Cybersecurity of Internet of Things (IoT).". 2017,. Presented at Association of General Accountants Annual Meeting, Columbus Chapter,. "Just the Definition, Ma'am: On Zero Knowledge for Common Languages.". 2017,. Presented at 19th International Symposium on Stabilization, Safety, and Security of Distributed Systems,. Cybersecurity Issues in the Internet of Things.. 2018,. Presented at Sahyadiri Conclave,. Social Sensing Services for Smart Communities.. 2018,. Presented at Sahyadiri Conclave,. "Transitioning IoT Edge Networks to Smart Communities.". 2017,. Presented at Indian Institute of Technology, Delhi,. "Connectivity Challenges for Delivering Community Services (for Safety and Mobility).". 2018,. Presented at NSF Connected Rural Communities Workshop,. "Smart Columbus: Community Services for All?.". 2017,. Presented at Midwest Big Data Hub All Hands Meeting,. "Smart Community Operating System and Connectivity for Delivering Community Services to Urban Underserved.". 2017,. Presented at NSF CPS Workshop on Challenges and Opportunities for Bringing Smart Services to Underserved Urban Communities,. Papers in Proceedings2017. Qiao, Y.; Srinivasan, K.; Arora, A.K.. "Channel Spoofer: Defeating channel variability and unpredictability.". in Proceedings of the 13th International Conference on emerging Networking EXperiments and Technologies.. (11. 2017).. Roy, D.; Morse, C.; McGrath, M.A.; He, J. et al.. "Cross-Environmentally Robust Intruder Discrimination in Radar Motes.". (1. 2017).. Roy, D.; Morse, C.; McGrath, M.A.; He, J. et al.. "Cross-Environmentally Robust Intruder Discrimination in Radar Motes.". in 14th IEEE International Conference on Mobile Ad Hoc and Sensor Systems (MASS).. (1. 2017).. Roy, D.; Morse, C.; McGrath, M.A.; He, J. et al.. "Cross-Environmentally Robust Intruder Discrimination in Radar Motes.". in 14th IEEE International Conference on Mobile Ad Hoc and Sensor Systems (MASS).. (1. 2017).. Roy, D.; Morse, C.; McGrath, M.A.; He, J. et al.. "Cross-Environmentally Robust Intruder Discrimination in Radar Motes.". (1. 2017).. Roy, D.; Morse, C.; McGrath, M.A.; He, J. et al.. "Cross-Environmentally Robust Intruder Discrimination in Radar Motes.". (11. 2017).. 2016. Yue Qiao, Ouyang Zhang, Wenjie Zhou, Kannan Srinivasan, and Anish Arora. Yue Qiao, Ouyang Zhang, Wenjie Zhou, Kannan Srinivasan, Anish Arora.. in 13th USENIX Symposium on Networked Systems Design and Implementation.. https://www.usenix.org/system/files/conference/nsdi16/nsdi16-paper-qiao.pdf,. (3. 2016).. 2014. Yue Qiao, Kannan Srinivasan, and Anish Arora. "Configuration Hopping: A secure communication protocol without explicit key exchange.". in 16th International Symposium on Stabilization, Safety, and Security of Distributed Systems (SSS).. (10. 2014).. Avishek Ghosh, Arpan Chattopadhyay, Anish Arora, and Anurag Kumar. "As-you-go deployment of a 2-connected wireless relay network for sensor-sink interconnection.". in International Conference on Signal Processing and Communications (SPCOM).. (7. 2014).. Jin He, Anish Arora. "A regression-based radar-mote system for people counting.". in IEEE International Conference on Pervasive Computing and Communications (PERCOM).. (4. 2014).. Yue Qiao, Kannan Srinivasan and Anish Arora. "Shape matters, not the size: a new approach to extract secrets from channel.". in 1st ACM Workshop on Hot Topics in Wireless.. (12. 2014).. Theodoros Damoulas, Jin He, Richard Bernstein, Carla P. Gomes, and Anish Arora. "String Kernels for complex time-series: Counting targets from sensed movement.". in 22nd International Conference on Pattern Recognition (ICPR).. (8. 2014).. 2012. Kwon, T.; Ertin, E.; Arora, A.. "Reproducing consistent wireless protocol performance across environments.". (6. 2012).. Kwon, T.; Ertin, E.; Arora, A.. "Reproducing consistent wireless protocol performance across environments.". (6. 2012).. Jing Li; Jin He; Anish Arora. "Thermonet: Fine-grain assessment of building comfort and efficiency.". in ANT 2012: The 3rd International Conference on Ambient Systems, Networks and Technologies.. (8. 2012).. Kwon, T.; Ertin, E.; Arora, A.. "Reproducing consistent wireless protocol performance across environments.". (6. 2012).. Jing Li, Wenjie Zeng, Anish Arora. Achievable throughput in duty-cycled wireless networks.. in 2012 IEEE 9th International Conference on Mobile Adhoc and Sensor Systems (MASS).. http://db/conf/mass/mass2012.html#LiZA12,. (10. 2012).. 2011. Taewoo Kwon, Emre Ertin and Anish Arora. Performance repeatability of low power wireless sensor network protocols: A multi-testbed study.. in 14th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWIM 2011).. http://dl.acm.org/results.cfm?h=1&cfid=79226746&cftoken=39129753,. (10. 2011).. Ingy Ramzy and Anish Arora. "Using zero knowledge to share a little knowledge: Bootstrapping trust in device networks.". in Proceedings of the 13th International Symposium on Stabilization, Safety, and Security of Distributed Systems (SSS 2011).. (10. 2011).. 2010. Anish Arora, Lifeng Sang. "Symmetric Dialog Codes for Confidential Communications without Shared Secrets.". in International Conference on Signal Processing and Communications (SPCOM).. (7. 2010).. Jing Li, Anish Arora. "Chameleon: On the Energy Efficiency of Exploiting Frequencies in Duty-Cycled Wireless Sensor Networks.". in 7th International ICST Conference on Broadband Communications, Networks, and Systems (BROADNETS 2010).. (10. 2010).. Taewoo Kwon, Emre Ertin, Anish Arora. "Reproducing Consistent Wireless Protocol Performance across Environments.". in Proceedings of the Second International ICST Conference on Ad Hoc Networks (ADHOCNETS).. (8. 2010).. Hongwei Zhang, Lifeng Sang, and Anish Arora. "Comparison of data-driven link estimation methods in low-power wireless networks.". (11. 2010).. Zeng,Wenjie; Arora,Anish; Shroff,Ness. "Maximizing energy efficiency for convergecast via joint duty cycle and route optimization.". in IEEE Infocom Miniconference, The 28th Conference on Computer Communications.. (4. 2010).. Mukundan Sridharan, Wenjie Zeng, William Leal, Xi Ju, Rajiv Ramnath, Hongwei Zhang, and Anish Arora. "From Kansei to KanseiGenie: Architecture of federated, programmable wireless sensor fabrics.". in 6th International Conference on Testbeds and Infrastructures for the Development of Networks and Communities (TridentCom).. (5. 2010).. 2009. K. Parker, S. Bapat, and Anish Arora. "The bumbleBee mote-scale radar.". in 34th Annual GOMACTech Conference.. (3. 2009).. Arora, A.; Sang, L.. "Dialog codes for secure wireless communications.". (11. 2009).. Sang,Lifeng; Arora,Anish. "A wireless security framework without shared secrets.". in 11th International Symposium on Stabilization, Safety and Security of Distributed Systems.. (11. 2009).. Sang,Lifeng; Arora,Anish. "Capabilities of low-power wireless jammers.". in IEEE INFOCOM Conference 2009.. (4. 2009).. Arora,Anish; Sang,Lifeng. "A zero knowledge alternative for bootstrapping trust.". in International Symposium on Collaborative Technologies and Systems.. (5. 2009).. Arora,Anish; Sang,Lifeng. "Dialog codes for secure wireless communications.". in 8th International Symposium on Information Processing Sensor Networks.. (4. 2009).. Zhang, H.; Sang, L.; Arora, A.. "Comparison of data-driven link estimation methods in low-power wireless networks.". (11. 2009).. Sang, L.; Arora, A.. "A wireless security framework without shared secrets.". (12. 2009).. Sang, L.; Arora, A.. "Capabilities of low-power wireless jammers.". (10. 2009).. 2008. H. Cao, A. Arora and Kenneth Parker. "Feature calibration in sensor networks.". in IEEE International Symposium on Parallel and Distributed Processing with Applications.. (12. 2008).. Cao, H.; Arora, A.; Ertin, E.; Parker, K.W.. "Feature Calibration in Sensor Networks.". in IEEE International Symposium on Parallel and Distributed Processing with Applications.. (1. 2008).. M. Demirbas and A. Arora. "An application of specification-based design of self-stabilization to tracking in wireless sensor networks.". in Proceedings of the 10th International Symposium on Stabilization, Safety, and Security of Distributed Systems (SSS08),.. (11. 2008).. A. Dalton, W. McCartney, K. Dastidar, J.Hallstrom, N. Sridhar, T. Herman, W. Leal, A. Arora, and M. Gouda. "DESALa: An implementation of the Dynamic Embedded Sensor-Actuator Language.". in Proceedings of the 17th International Conference on Computer Communications and Networks (ICCCN).. (8. 2008).. H. Zhang, L. Sang, and A. Arora. "On biased link sampling in datadriven link estimation and routing in lowpower wireless networks.". in The Fourth InternationalICST/CREATE-NET/ACM Wireless Internet Conference (WICON 2008).. (11. 2008).. B. Bonakdarpour, S. Kulkarni and A. Arora. "Disassembling real-time fault-tolerant programs.". in Proceedings of the Eighth ACM International Conference on Embedded Systems Software (EMSOFT).. (1. 2008).. L. Sang and Anish Arora. "Spatial signatures for lightweight security in wireless sensor networks.". in Proceedings of the 27th IEEE International Conference on Computer Communications (INFOCOM), Joint Conference of the IEEE Computer and Communications Societies.. (4. 2008).. Dalton, A.R.; McCartney, W.P.; GhoshDastidar, K.; Hallstrom, J.O. et al.. "DESAL: An implementation of the Dynamic Embedded Sensor-Actuator Language.". (12. 2008).. Dalton, A.R.; McCartney, W.P.; GhoshDastidar, K.; Hallstrom, J.O. et al.. "DESAL(alpha): An Implementation of the Dynamic Embedded Sensor-Actuator Language.". (1. 2008).. A. Arora. "User programmability of embedded sensor networks.". in Proceedings of the Government Microcircuit Applications and Critical Technology Conference (GOMACTech).. (3. 2008).. Dalton, A.R.; McCartney, W.P.; GhoshDastidar, K.; Hallstrom, J.O. et al.. "DESAL(alpha): An Implementation of the Dynamic Embedded Sensor-Actuator Language.". in 17th International Conference on Computer Communications and Networks.. (1. 2008).. V. Kulathumani, M. Sridharan, R. Ramnath, A. Arora. "Weave: An architecture for Tailoring Urban Sensing Applications across Multiple Sensor Fabrics.". in Proceedings of the International Workshop on Mobile Device and Urban Sensing (MODUS).. (4. 2008).. Li,Jing; Arora,Anish. Duty cycle stabilization in semi-mobile wireless networks.. in 10th International Symposium on Stabilization, Safety and Security of Distributed Systems (SSS 2008).. http://www.springer.com/computer/communication+networks/book/978-3-540-89334-9?changeHeader,. (11. 2008).. Cao, H.; Arora, A.; Ertin, E.; Parker, K.W. et al.. "Feature Calibration in Sensor Networks.". (1. 2008).. V. Kulathumani and A. Arora. "Aspects of distance sensitive design of wireless sensor networks.". in Proceedings of 2nd IEEE International Conference on Self-Adaptive and Self-Organizing Systems: Workshop on Spatial Computing.. (10. 2008).. Cao, H.; Arora, A.; Ertin, E.; Parker, K.W.. "Feature calibration in sensor networks.". (12. 2008).. 2007. V. Kulathumani and A. Arora. "Distance sensitive snapshots in wireless sensor networks.". in Proceedings of the International Conference on Principles of Distributed Systems (OPODIS).. (1. 2007).. A. Arora, M. Gouda, J. Hallstrom, T. Herman, B. Leal, and N. Sridhar. "A state-based language for sensor-actuator networks.". in Proceedings of the International Workshop on Wireless Sensor Network Architecture.. (4. 2007).. V. Kulathumani, A. Arora, M. Demirbas, and M. Sridharan. "Trail: A distance sensitive network protocol for distributed object tracking.". in Proceedings of the Fourth European conference on Wireless Sensor Networks (EWSN).. (1. 2007).. L. Sang, A. Arora, and H. Zhang. "On exploiting asymmetric wireless links via one-way estimation.". in Proceedings of the 8th ACM international symposium on Mobile on Mobile Adhoc Networking and Computing (MOBIHOC).. (1. 2007).. H. Cao and A. Arora. "Stabilization in dynamic systems with varying equilibrium.". in Proceed-ings of the 9th International Symposium on Stabilization, Safety, and Security of Distributed Systems (SSS).. (1. 2007).. S. Bapat, W. Leal, T. Kwon, P. Wei, and A. Arora. "Chowkidar: A health monitor for wireless sensor network testbeds.". in Proceedings of the Third International Conference on Test bedsand Research Infrastructures for the Development of Networks and Communities (Trident-Com).. (5. 2007).. 2006. V. Naik, E. Ertin, H. Zhang, and A. Arora. "Wireless testbed bonsai.". in Proceedings of the Second International Workshop On Wireless Network Measurement (WiNMee).. (4. 2006).. P. Dutta, A. Arora, and S. Bibyk. "Towards radar-enabled sensor networks.". in Proceedings ofthe 4th Symposium on Information Processing in Sensor Networks (IPSN/SPOTS track).. (1. 2006).. S. Bapat and A. Arora. "Stabilizing reconfiguration in wireless sensor networks.". in Proceedings of the IEEE International Conference on Sensor Networks, Ubiquitous and Trustworthy Computing,.. (6. 2006).. W. Leal, S. Bapat, T. Kwon, P. Wei, and A. Arora. "Stabilizing health monitoring for wireless sensor networks.". in Proceedings of the Eighth International Symposium on Stabilization, Safety, and Security of Distributed Systems (SSS).. (11. 2006).. Dutta, P.K.; Arora, A.K.; Bibyk, S.B.; ACM,. "Towards radar-enabled sensor networks.". (1. 2006).. Dutta, P.K.; Arora, A.K.; Bibyk, S.B.. "Towards radar-enabled sensor networks.". (12. 2006).. E. Ertin, A. Arora, R. Ramnath, M. Nesterenko. "Kansei: A testbed for sensing at scale.". in Proceedings of the 4th Symposium on Information Processing in Sensor Networks (IPSN/SPOTStrack),.. (1. 2006).. Dutta, P.K.; Arora, A.K.; Bibyk, S.B.. "Towards radar-enabled sensor networks.". in 5th International Conference on Informational Processing in Sensor Networks.. (1. 2006).. Naik, V.; Ertin, E.; Zhang, H.; Arora, A. et al.. "Wireless testbed bonsai.". (1. 2006).. Zhang, H.; Arora, A.; Sinha, P.; IEEE,. "Learn on the fly: Data-driven link estimation and routing in sensor network backbones.". (1. 2006).. M. Demirbas, A. Arora, and V. Kulathumani. "Glance: A Lightweight Querying Service for Wireless Sensor Networks.". in Proceedings of the Tenth International Conference on Principles of Distributed Systems (OPODIS).. (12. 2006).. H. Zhang, A. Arora, and P. Sinha. "Learn on the Fly: Data-driven link estimation and routing in sensor network backbones.". in Proceedings of the 25th IEEE International Conference on Computer Communications (INFOCOM).. (1. 2006).. Zhang, H.; Arora, A.; Sinha, P.. "Learn on the fly: Data-driven link estimation and routing in sensor network backbones.". in IEEE INFOCOM 2006 Conference/25th IEEE International Conference on Computer Communications.. (1. 2006).. Naik, V.; Ertin, E.; Zhang, H.; Arora, A.. "Wireless testbed bonsai.". in 4th International Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks.. (1. 2006).. Naik, V.; Ertin, E.; Zhang, H.; Arora, A.. "Wireless testbed bonsai.". (12. 2006).. H. Cao, K. Parker, and A. Arora. "O-MAC: A receiver-centric power management protocol.". in Proceedings of the 14th International Conference on Network Protocols (ICNP).. (11. 2006).. 2005. S. Bapat, V. Kulathumani, and A. Arora. "Analyzing the yield of ExScal, a large-scale wireless sensor network experiment.". in Proceedings of the 13th IEEE International Conference on Network Protocols (ICNP).. (11. 2005).. Y. Kim, A. Arora, V. Kulathumani, U. Arumugam, and S. Kulkarni. "On the effect of faults in vibration control of fairing structures".". in Proceedings of the 5th ASME International Conference on Multibody Systems, Nonlinear Dynamics and Controls (MSNDC).. (1. 2005).. Kulatliumani, V.; Arora, A.; Kim, Y.M.; Shankar, P. et al.. "Reliable control system design despite byzantine actuators.". (12. 2005).. Kulathumani, V.; Arora, A.; Kim, Y.M.; Shankar, P. et al.. "Reliable control system design despite byzantine actuators.". (1. 2005).. H. Zhang, A. Arora, Y.-R. Choi, and M. Gouda. "Reliable bursty convergecast in wireless sensor networks.". in Proceedings of the 6th ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc).. (5. 2005).. Kulathumani, V.; Arora, A.; Kim, Y.M.; Shankar, P. et al.. "Reliable control system design despite byzantine actuators.". in 5th International Conference on Multibody Systems, Nonlinear Dynamics, and Control.. (1. 2005).. S. Bapat, V. Kulathumani, and A. Arora. "Reliable estimation of inuence fields for classification and tracking in unreliable sensor networks.". in Proceedings of the 24th IEEE Symposium on Reliable Distributed Systems (SRDS).. (10. 2005).. V. Kulathumani, P. Shankar, Y. Kim, A. Arora, and R. Yedavalli. "Reliable control system design despite byzantine actuators.". in Proceedings of the 5th ASME International Conference on Multibody Systems, Nonlinear Dynamics and Controls (MSNDC).. (1. 2005).. A. Arora, et al (30 authors). "ExScal: Elements of an extreme scale wireless sensor network.". in Proceedings of the 11th IEEE International Conference on Embedded and Real-TimeComputing Systems and Applications.. (1. 2005).. P. Dutta, M. Grimmer, A. Arora, S .Bibyk, and D. Culler. "Design of a wireless sensor network platform for detecting rare, random, and ephemeral events.". in Proceedings of the 3rd Symposium on Information Processing in Sensor Networks (IPSN/SPOTS track).. (1. 2005).. S. Kumar, T.-H. Lai, and A. Arora. "Barrier coverage with wireless sensors.". in Proceedings of the 11th Annual International Conference on Mobile Computing and Networking (ACMMobiCom),.. (1. 2005).. V. Naik, A. Arora, P. Sinha, and H. Zhang,. "Sprinkler: A reliable and energy efficient data dissemination service for wireless embedded devices.". in Proceedings of the 26th IEEE Real-Time Systems Symposium (RTSS).. (1. 2005).. 2004. M. Demirbas, A. Arora, V. Mittal, and V. Kulathumani. "Design and analysis of a fast local clustering service for wireless sensor networks.". in Proceedings of the Broadband Wireless Networking Symposium (Broadnets),.. (1. 2004).. H. Zhang, A. Arora, and Z. Liu. "A stability-oriented approach to improving BGP convergence.". in Proceedings of the 23rd IEEE Symposium on Reliable Distributed Systems (SRDS).. (1. 2004).. W. Leal and A. Arora. "Scalable stabilization via composition.". in Proceedings of the 24th International Conference on Distributed Computing Systems,(ICDCS'04).. (1. 2004).. S. Kulkarni, M. Gouda, and A. Arora. "Security instantiation for mobile networks.". in Proceedings of the ICDSN Workshop on Dependability Issues in Wireless Ad Hoc Networks and Sensor Networks (DIWANS'04).. (1. 2004).. M. Demirbas and A. Arora. "FLOC: A fast local clustering service for wireless sensor networks.". in Proceedings of the ICDSN Workshop on Dependability Issues in Wireless Ad HocNetworks and Sensor Networks (DIWANS'04).. (1. 2004).. M. G. Gouda, Y-R. Choi, and A. Arora. "Sentries and sleepers in sensor networks.". in Proceedings of the 8th International Conference on Principles of Distributed Systems (OPODIS).. (1. 2004).. M. Demirbas, A. Arora, T. Nolte, and N. Lynch. "A hierarchy-based fault-local stabilizing algorithm for tracking in sensor networks.". in Proceedings of the 8th International Conference on Principles of Distributed Systems (OPODIS).. (1. 2004).. 2003. M. Demirbas, A. Arora, and M. Gouda. "A pursuer-evader game for sensor networks.". in Proceedings of the Sixth Symposium on Self-Stabilizing Systems (SSS'2002).. (1. 2003).. V. Naik, A. Arora, S. Bapat, and M. Gouda. "Whisper: A local secret maintenance protocol.". in Proceedings of the ICDSN Workshop on Principles of Dependable Systems (PoDSy'2003).. (1. 2003).. Y. Choi, M. Gouda, M. Kim, and A. Arora. "The mote connectivity protocol.". in Proceedings of the 12th International Conference on Computer Communications and Networks (ICCCN'03).. (1. 2003).. Y. Kim, T. Lai, and A. Arora. "A QoS-aware scheduling algorithm for Bluetooth scatternets.". in Proceedings of the International Conference on Parallel Processing (ICPP'03).. (1. 2003).. A. Arora and H. Zhang. "LSRP: Local stabilization in shortest path routing.". in Proceedings of IEEE-IFIP International Conference on Dependable Systems and Networks (ICDSN'2003),.. (1. 2003).. 2002. M. Nesterenko and A. Arora. "Dining philosophers that tolerate malicious crashes.". in Proceedings of the 22nd International Conference on Distributed Computer Systems (ICDCS'2002).. (1. 2002).. M. Demirbas and A. Arora. "Convergence refinement.". in Proceedings of the 22nd International Conference on Distributed Computer Systems (ICDCS'2002).. (1. 2002).. A. Arora, R. Jagannathan, and Y.-M. Wang. "Model-based fault detection in powerline networking.". in Proceedings of the International Parallel and Distributed Processing Symposium (IPDPS'2002),.. (1. 2002).. M.-T. Sun, L. Huang, A. Arora, and T.-H. Lai. "Reliable MAC layer multicast in IEEE 802.11 wireless networks.". in Proceedings of the International Conference on Parallel Processing (ICPP'2002).. (1. 2002).. M. Nesterenko and A. Arora. "Local tolerance to unbounded byzantine faults.". in Proceedings of the 21st IEEE Symposium on Reliable Distributed Systems (SRDS'2002).. (1. 2002).. H. Zhang and A. Arora. "GS3: Scalable self-configuration and self-healing in wireless networks.". in Proceedings of the 21th ACM Symposium on Principles of Distributed Computing (PODC'2002).. (1. 2002).. 2001. A. Arora and M. Nesterenko. "Unifying stabilization and termination in message-passing systems.". in Proceedings of the 21st International Conference on Distributed Computer Systems(ICDCS'2001).. (1. 2001).. S. Kulkarni, A. Arora, and A. Chippada. "Polynomial time synthesis of byzantine agreement.". in Proceedings of the IEEE Symposium on Reliable Distributed Systems (SRDS'2001).. (1. 2001).. A. Arora, R. Jagannathan, and Y.-M. Wang. "Model-based design of dependability in distributed systems.". in Proceedings of the Workshop on Concurrency in Distributed Systems.. (1. 2001).. A. Arora, M. Demirbas, and S. Kulkarni. "Graybox stabilization.". in Proceedings of the International Conference on Dependable Systems and Networks (ICDSN'2001).. (1. 2001).. M. Gouda, C.-H. Huang, and A. Arora. "On the security and vulnerability of PING.". in Proceedings of the Fifth International Workshop on Self-Stabilizing Systems.. (1. 2001).. 2000. Y.-M. Wang, W. Russell, A. Arora, J. Xu, and R. Jagannathan. "Towards dependablehome networking: An experience report.". in Proceedings of the International Conference on Dependable Systems and Networks (ICDSN'2000).. (1. 2000).. Y.-M. Wang, W. Russell, and A. Arora. "A toolkit for building dependable and extensiblehome networking applications.". in Proceedings of the Fourth USENIX Windows Systems Symposium USENIX-WIN'2000.. (1. 2000).. S. Kulkarni and A. Arora. "Automating the addition of fault-tolerance.". in Proceedings of theFormal Techniques in Real-time and Fault-tolerant Systems (FTRTFTS'2000).. (1. 2000).. A. Arora, S. Kulkarni, and M. Demirbas. "Resettable vector clocks.". in Proceedings of the19th ACM Symposium on Principles of Distributed Computing (PODC'2000).. (1. 2000).. 1999. M. Nesterenko and A. Arora. "Stabilization-preserving atomicity refinement.". in Proceedings ofthe 13th International Symposium on Distributed Computing (DISC'99).. (1. 1999).. 1998. A. Arora and S. Kulkarni. "A theory of detectors and correctors.". in Proceedings of the International Conference on Distributed Computer Systems (ICDCS'98).. (1. 1998).. A. Arora, P. C. Attie, and E. A. Emerson. "Synthesis of fault-tolerant concurrent programs.". in Proceedings of the Principles of Distributed Computing (PODC'98).. (1. 1998).. S. Kulkarni and A. Arora. "Low-cost fault-tolerances in barrier synchronization.". in Proceed-ings of the International Conference on Parallel Processing (ICPP'98).. (1. 1998).. 1997. S. Kulkarni and A. Arora. "Once-and-forall management protocol (OFMP).". in Proceedings ofthe Fifth International Conference on Computer Networks (ICNP'97),.. (1. 1997).. S. Kulkarni and A. Arora. "Compositional design of multitolerant repetitive byzantine agreement.". in Proceedings of the Third Workshop on Self-Stabilizing Systems.. (1. 1997).. S. Kulkarni and A. Arora. "Multitolerant repetitive byzantine agreement.". in Proceedings of the Foundations of Software Technology and Theoretical Computer Science (FSTTCS'97),.. (1. 1997).. A. Arora and M. G. Gouda. "Delay insensitive stabilization.". in Proceedings of the ThirdWorkshop on Self-Stabilizing Systems,.. (1. 1997).. 1995. A. Arora and S. Kulkarni. "Designing masking fault-tolerance via nonmasking fault-tolerance.". in Proceedings of the Fourteenth Symposium on Reliable Distributed Systems.. (1. 1995).. A. Arora and D. Poduska. "A timing-based schema for stabilizing information exchange in networks.". in Proceedings of the Third International Conference on Computer Networks.. (1. 1995).. G. Varghese, A. Arora, and M. G. Gouda. "Self-stabilization by tree correction.". in Proceedings of the Second Workshop on Self-Stabilizing Systems.. (1. 1995).. A. Arora and M. G. Gouda. "Load balancing: An exercise in constrained convergence.". in Proceedings of the Ninth International Workshop on Distributed Algorithms.. (1. 1995).. 1994. A. Arora. "Efficient reconfiguration of trees: A case study in the methodical design of nonmasking fault-tolerance.". in Proceedings of the Third International Symposium on Formal Techniques in Real Time and Fault-Tolerance,.. (1. 1994).. A. Arora, M. G. Gouda, and G. Varghese. "Constraint-satisfaction as a basis for designingnonmasking fault-tolerance (extended abstract).". in Proceedings of the Fourteenth International Conference on Distributed Computing Systems.. (1. 1994).. A. Arora and A. Singhai. "Fault-tolerant reconfiguration of trees and rings in networks.". in Proceedings of the Second International Conference on Network Protocols.. (1. 1994).. 1992. A. Arora and M. G. Gouda. "Closure and convergence: A formulation of fault-tolerant computing.". in Proceedings of the Twenty-Second International Symposium on Fault-Tolerant Computing.. (1. 1992).. 1991. A. Arora, S. Dolev, and M. G. Gouda. "Maintaining digital clocks in step (extended abstract).". in Proceedings of the Fifth International Workshop on Distributed Algorithms.. (1. 1991).. 1990. A. Arora and M. G. Gouda. "Distributed reset.". in Proceedings of the Tenth Conference on Foundations of Software Technology and Theoretical Computer Science.. (1. 1990).. A. Arora, P. Attie, M. Evangelist, and M. G. Gouda. "Convergence of iteration systems(extended abstract).". in Proceedings of Concur'90: Theories of Concurrency, Lecture Notesin Computer Science 458, Springer-Verlag.. (1. 1990).. A. Arora, M. G. Gouda, and T. Herman. "Composite routing protocols.". in Proceedings of the Second IEEE Symposium on Parallel and Distributed Processing.. (1. 1990).. Unknown. Avishek Ghosh, Arpan Chattopadhyay, Anish Arora, Anurag Kumar,. "As-You-Go Deployment of a 2-Connected Wireless Relay Network for Sensor-Sink Interconnection.". in IEEE International Conference on Signal Processing and Communications (SPCOM).. Theodoros Damoulas, Jin He, Rich Bernstein, Carla Gomes, Anish Arora. "String kernels for complex time-series: Counting targets from sensed movement.". in 22nd International Conference on Pattern Recognition (ICPR).. Patents. Arora,Anish,K; Russell,Wilf,G; Wang,Yi-Min; Xu,Jun.. "Device adapter for automation system.". Patent number: 6535110. Wang,Yi-Min; Russell,Wilf,G; Arora,Anish,K.. "Pattern-and model-based power line monitoring.". Patent number: 7133729. Wang,Yi-Min; Russell,Wilf,G; Arora,Anish,K.. "Weak leader election.". Patent number: 7139790. Wang,Yi-Min; Russell,Wilf,G; Xu,Jun; Arora,Anish,K; Bahl,Paramvir.. "Automation system for controlling and monitoring devices and sensors.". Patent number: 6961763. Department ofComputer Science and Engineering395 Dreese Laboratories2015 Neil AvenueColumbus, OH 43210-1277(614) 292-5813 Phone(614) 292-2911 Fax. Support CSE. Invest in a Buckeye. Your gift will make a difference.. Connect. facebookyoutube. 2019 The Ohio State UniversityAccessibilityPrivacy PolicyHelpLogin. diff --git a/src/data/compiled_bios/4045.txt b/src/data/compiled_bios/4045.txt new file mode 100644 index 0000000000..e35de75d0a --- /dev/null +++ b/src/data/compiled_bios/4045.txt @@ -0,0 +1 @@ +Kannan Athreya. Associate Professor, Computer Science & Engineering. 681 Dreese Laboratories. 2015 Neil Ave. Columbus,. OH. 43210. 614-688-3502. athreya.14@osu.edu. http://web.cse.ohio-state.edu/~kannan. Honors. May, 2016. Best Student Paper Award.. April, 2015. Lumley Research Award.. September, 2014. MobiCom 2014 Best Paper Finalist.. August, 2013. Excellent Performance Award.. April, 2013. IPSN 2013 Best Paper Runner Up.. March, 2013. NSF Career.. September, 2010. MobiCom 2010 Best Demo Award.. September, 2010. MobiCom 2010 Best Paper Runner Up.. September, 2010. MobiCom 2010 Best Paper Award.. September, 2005. Stanford EE Department Fellowship.. September, 2000. Oklahoma State University Presidential Award.. Journal Articles2012. Bhargava,Vidur; Jose,Jubin; Srinivasan,Kannan; Vishwanath,Sriram,. 2012,. "Q-CMRA: Queue-Based Channel-Measurement and Rate-Allocation.". IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS. 11,. no. 11,. 4214-4223 -. 4214-4223.. 2010. Srinivasan,Kannan; Dutta,Prabal; Tavakoli,Arsalan; Levis,Philip,. 2010,. "An Empirical Study of Low-Power Wireless.". ACM TRANSACTIONS ON SENSOR NETWORKS. 6,. no. 2,. 16 -. 16.. Presentations. Taming The Interference-Limited Wireless Networks.. 2014,. Presented at Electrical and Computer Engineering, Rice University,. "Taming The Interference-Limited Wireless Networks.". 2014,. Presented at Computer Science, Univ of Wisconsin Madison,. "Taming The Interference-Limited Wireless Networks.". 2014,. Presented at Microsoft Research, India,. "Taming The Interference-Limited Wireless Networks.". 2014,. Presented at Indian Institute of Technology, Chennai,. Taming The Interference-Limited Wireless Networks.. 2014,. Presented at The COMPUTER ENGINEERING PROGRAM, UCSB,. Addressing Wireless Throughput Scalability Using Power Lines in Enterprise Networks.. 2015,. Presented at Texas A&M University, Fish Bowl Seminar Series,. Papers in Proceedings2016. Bakshi, A.; Chen, L.; Srinivasan, K.; Koksal, C.E. et al.. "EMIT: An efficient MAC paradigm for the Internet of Things.". (7. 2016).. Zhenzhi Qian*, Bo Ji, Kannan Srinivasan, and Ness B. Shroff. "Achieving Delay Rate-function Optimality in OFDM Downlink with Time-correlated Channels.". in IEEE Infocom 2016.. (4. 2016).. Qiao, Y.; Zhang, O.; Zhou, W.; Srinivasan, K. et al.. "PhyCloak: Obfuscating Sensing from Communication Signals.". in 13th USENIX Symposium on Networked Systems Design and Implementation (NSDI).. (1. 2016).. Bakshi, A.; Chen, L.; Srinivasan, K.; Koksal, C.E. et al.. "EMIT: An Efficient MAC Paradigm for the Internet of Things.". in 35th IEEE Annual International Conference on Computer Communications (IEEE INFOCOM).. (1. 2016).. Wu, F.; Yang, Y.; Zhang, O.; Srinivasan, K. et al.. "Anonymous-Query based Rate Control for Wireless Multicast: Approaching Optimality with Constant Feedback.". in 17th ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc).. (1. 2016).. Bakshi, A.; Chen, L.; Srinivasan, K.; Koksal, C.E. et al.. "EMIT: An Efficient MAC Paradigm for the Internet of Things.". (1. 2016).. Wu, F.; Yang, Y.; Zhang, O.; Srinivasan, K. et al.. "Anonymous-Query based Rate Control for Wireless Multicast: Approaching Optimality with Constant Feedback.". (1. 2016).. Wu, F.; Yang, Y.; Zhang, O.; Srinivasan, K. et al.. "Anonymous-query based rate control for wireless multicast: Approaching optimality with constant feedback.". (7. 2016).. Yue Qiao*, Kannan Srinivasan and Anish Arora. "PhyCloak: Obfuscating Sensing from Communication Signals.". in Usenix NSDI 2016.. (5. 2016).. Arjun Bakshi*, Lu Chen*, Kannan Srinivasan, Can Emre Koksal, and Atilla Eryillmaz. "EMIT: A New PHY/MAC Paradigm for the Internet of Things (IoTs).". in IEEE Infocom 2016.. (4. 2016).. Qiao, Y.; Zhang, O.; Zhou, W.; Srinivasan, K. et al.. "PhyCloak: Obfuscating Sensing from Communication Signals.". (1. 2016).. 2015. Chen, B.; Yenamandra, V.; Srinivasan, K.; IEEE,. "Interference Alignment Using Shadow Channel.". (1. 2015).. Bo Chen* (Co-Primary Author), Vivek Yenamandra* (Co-Primary Author) and Kannan Srinivasan. "Interference Alignment Using Shadow Channel.". in IEEE Infocom 2015.. (4. 2015).. Bo Chen* (Co-Primary Author), Vivek Yenamandra* (Co-Primary Author) and Kannan Srinivasan. "FlexRadio: Fully Flexible Radios and Networks.". in Usenix NSDI 2015.. (4. 2015).. Chen, B.; Yenamandra, V.; Srinivasan, K.. "Interference Alignment Using Shadow Channel.". in 34th IEEE Conference on Computer Communications (INFOCOM).. (1. 2015).. Bo Chen* (Co-Primary Author), Vivek Yenamandra* (Co-Primary Author) and Kannan Srinivasan. "Tracking Keystrokes Using Wireless Signals.". in ACM MobiSys 2015.. (5. 2015).. Bo Chen*, Yue Qiao*, Ouyang Zhang* and Kannan Srinivasan. "AirExpress: Enabling inband Wireless Cutthrough Transmission.". in ACM MobiCom 2015.. (9. 2015).. 2014. Tarun Bansal^ (Co-Primary Author), Wenjie Zhou* (Co-Primary Author), Kannan Srinivasan and Prasun Sinha. "RobinHood: Sharing the Happiness in a Wireless Jungle.". in ACM HotMobile 2014.. (2. 2014).. Qiao, Y.; Srinivasan, K.; Arora, A.. "Configuration Hopping: A Secure Communication Protocol without Explicit Key Exchange.". (1. 2014).. Yang, Y.; Chen, B.; Srinivasan, K.; Shroff, N.B. et al.. "Characterizing the Achievable Throughput in Wireless Networks with Two Active RF chains.". (1. 2014).. Yue Qiao*, Kannan Srinivasan and Anish Arora. "Shape Matters, Not The Size: A New Way to Extract Secret Keys from Channel.". in ACM Hot Topics on Wireless 2014 (ACM HotWireless 2014).. (9. 2014).. Yang, Y.; Chen, B.; Srinivasan, K.; Shroff, N.B.. "Characterizing the achievable throughput in wireless networks with two active RF chains.". (1. 2014).. Wenjie Zhou*, and Kannan Srinivasan. "SIM+: A Simulator for Full Duplex Communications.". in SPCOM 2014.. (7. 2014).. Vivek Yenamandra*, and Kannan Srinivasan. "Vidyut: Exploiting Power Line Infrastructure for Enterprise Wireless Networks.". in ACM SIGCOMM 2014.. (8. 2014).. Yang, Y.; Chen, B.; Srinivasan, K.; Shroff, N.B.. "Characterizing the Achievable Throughput in Wireless Networks with Two Active RF chains.". in 33rd IEEE Annual Conference on Computer Communications (IEEE INFOCOM).. (1. 2014).. Yang Yang^, Bo Chen*, Kannan Srinivasan and Ness B. Shroff. "Characterizing the Achievable Throughput in Wireless Networks with Two Active RF chains.". in IEEE Infocom 2014.. (4. 2014).. Bo Chen*, Gopikrishna Tummala^, Yue Qiao* and Kannan Srinivasan. "Wireless Cut-Through: Is It Possible?.". in ACM Hot Topics on Wireless 2014 (ACM HotWireless 2014).. (9. 2014).. Qiao, Y.; Srinivasan, K.; Arora, A.. "Configuration Hopping: A Secure Communication Protocol without Explicit Key Exchange.". in 16th International Symposium on Stabilization, Safety, and Security of Distributed Systems (SSS).. (1. 2014).. Yue Qiao*, Kannan Srinivasan and Anish Arora. "Configuration Hopping : A Secure Communication Protocol without Explicit Key Exchange.". in 16th International Symposium on Stabilization, Safety, and Security of Distributed Systems (SSS 2014).. (9. 2014).. Chen, B.; Tummala, G.K.; Qiao, Y.; Srinivasan, K.. "In-band wireless cut-through: Is it possible?.". (1. 2014).. Tarun Bansal^ (Co-Primary Author), Wenjie Zhou* (Co-Primary Author), Prasun Sinha and Kannan Srinivasan. "BBN: Throughput Scaling in Dense Enterprise WLANs with Blind Beamforming and Nulling.". in ACM MobiCom 2014.. (9. 2014).. 2013. Zhou, W.; Srinivasan, K.; Sinha, P.. "RCTC: Rapid Concurrent Transmission Coordination in Full Duplex Wireless Networks.". in 21st IEEE International Conference on Network Protocols (ICNP).. (1. 2013).. Zeng, W.; Arora, A.; Srinivasan, K.. "Low Power Counting via Collaborative Wireless Communications.". in 12th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN).. (1. 2013).. Zeng, W.; Arora, A.; Srinivasan, K.; IEEE,. "Low Power Counting via Collaborative Wireless Communications.". (1. 2013).. Wenjie Zhou*, Kannan Srinivasan and Prasun Sinha. "RCTC: Rapid Concurrent Transmission Coordination in Full Duplex Wireless Networks.". in IEEE ICNP 2013.. (5. 2013).. Wenjie Zeng, Anish Arora, Kannan Srinivasan. Low power counting via collaborative wireless communications.. in The 12th International Conference on Information Processing in Sensor Networks.. http://db/conf/ipsn/ipsn2013.html#ZengAS13,. (4. 2013).. Tarun Bansal^ (Co-Primary Author), Bo Chen* (Co-Primary Author), Prasun Sinha, and Kannan Srinivasan. "Symphony: Cooperative Packet Recovery over the Wired Backbone in Enterprise WLANs.". in ACM MobiCom 2013.. (9. 2013).. Zhou, W.; Srinivasan, K.; Sinha, P.. "RCTC: Rapid Concurrent Transmission Coordination in Full Duplex Wireless Networks.". (1. 2013).. Wenjie Zhou* (Co-Primary Author), Dong Li^ (Co-Primary Author), Kannan Srinivasan and Prasun Sinha. "DOMINO: Relative Scheduling in Enterprise Wireless LANs.". in ACM CoNext 2013.. (12. 2013).. Wenjie Zeng^, Anish Arora, and Kannan Srinivasan. "Low Power Counting via Collaborative Wireless Communications.". in The 12th ACM/IEEE Conference on Information Processing in Sensor Networks (IPSN'13).. (4. 2013).. 2012. Kannan Srinivasan, Steven Hong, Mayank Jain, Jung Il Choi, Jeff Mehlman, Sachin Katti, and Philip Levis. "Beyond Full Duplex Wireless, In Proceedings of the Asilomar Conference on Signals, Systems, and Computers.". in Asilomar 2012.. (7. 2012).. Kyle Miller^, Atresh Sanne^, Kannan Srinivasan, and Sriram Vishwanath. "Enabling Real-Time Interference Alignment: Promises and Challenges.". in ACM MobiHoc 2012.. (6. 2012).. 2011. Mayank Jain, Jung Il Choi, Taemin Kim, Dinesh Bharadia, Kannan Srinivasan, Siddharth Seth, Philip Levis, Sachin Katti and Prasun Sinha. "Practical, Real-time, Full Duplex Wireless.". in ACM MobiCom 2011.. (9. 2011).. 2010. Srinivasan, K.; Jain, M.; Cho, J.I.; Azim, T. et al.. "The kappa Factor: Inferring Protocol Performance Using Inter-link Reception Correlation.". in 16th Annual International Conference on Mobile Computing and Networking / 11th ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiCom/MobiHoc).. (1. 2010).. Choi, J.I.; Jain, M.; Srinivasan, K.; Levis, P. et al.. "Achieving Single Channel, Full Duplex Wireless Communication.". in 16th Annual International Conference on Mobile Computing and Networking / 11th ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiCom/MobiHoc).. (1. 2010).. Kannan Srinivasan (Co-Primary Author), Jung Il Choi (Co-Primary Author), Mayank Jain (Co-Primary Author), Philip Levis and Sachin Katti. "Achieving Single Channel, Full Duplex Wireless Communication.". in ACM MobiCom 2010.. (9. 2010).. Kannan Srinivasan, Mayank Jain, Jung Il Choi, Tahir Azim, Edward S Kim, Philip Levis and Bhaskar Krishnamachari. "The -Factor: Inferring Protocol Performance using Inter-Link Reception Correlation.". in ACM Mobicom 2010.. (9. 2010).. Srinivasan, K.; Jain, M.; Cho, J.I.; Azim, T. et al.. "The kappa Factor: Inferring Protocol Performance Using Inter-link Reception Correlation.". (1. 2010).. Choi, J.I.; Jain, M.; Srinivasan, K.; Levis, P. et al.. "Achieving Single Channel, Full Duplex Wireless Communication.". (1. 2010).. 2009. Srinivasan, K.; Kazandjieva, M.A.; Jain, M.; Kim, E. et al.. "SWAT: Know Your Network.". (1. 2009).. Srinivasan, K.; Kazandjieva, M.A.; Jain, M.; Kim, E. et al.. "SWAT: Know Your Network.". in 8th International Symposium on Information Processing Sensor Networks.. (1. 2009).. 2008. Srinivasan, K.; Kazandjieva, M.A.; Agarwal, S.; Levis, P.. "The beta-factor: Measuring Wireless Link Burstiness.". in 6th ACM Conference on Embedded Networked Sensor Systems.. (1. 2008).. Srinivasan, K.; Kazandjieva, M.A.; Jain, M.; Kim, E. et al.. "SWAT: Enabling Wireless Network Measurements.". in 6th ACM Conference on Embedded Networked Sensor Systems.. (1. 2008).. Srinivasan, K.; Kazandjieva, M.A.; Agarwal, S.; Levis, P. et al.. "The beta-factor: Measuring Wireless Link Burstiness.". (1. 2008).. Srinivasan, K.; Kazandjieva, M.A.; Jain, M.; Kim, E. et al.. "SWAT: Enabling Wireless Network Measurements.". (1. 2008).. 2007. Wachs, M.; Il Choi, J.; Lee, J.W.; Srinivasan, K. et al.. "Visibility: A New Metric For Protocol Design.". (1. 2007).. Wachs, M.; Il Choi, J.; Lee, J.W.; Srinivasan, K. et al.. "Visibility: A New Metric For Protocol Design.". in 5th ACM Conference on Embedded Networked Sensor Systems.. (1. 2007).. 2005. Ingraham, D.; Beresford, R.; Kaluri, K.; Ndoh, M. et al.. "Wireless sensors: Oyster habitat monitoring in the Bras d'Or Lakes.". (1. 2005).. Srinivasan, K.; Ndoh, M.; Nie, H.; Xia, C.Y. et al.. "Wireless technologies for condition-based maintenance (CBM) in petroleum plants.". in 1st IEEE International Conference on Distributed Computing in Sensor Systems.. (1. 2005).. Srinivasan, K.; Ndoh, M.; Nie, H.; Xia, C.Y. et al.. "Wireless technologies for condition-based maintenance (CBM) in petroleum plants.". (1. 2005).. Ingraham, D.; Beresford, R.; Kaluri, K.; Ndoh, M. et al.. "Wireless sensors: Oyster habitat monitoring in the Bras d'Or Lakes.". in 1st IEEE International Conference on Distributed Computing in Sensor Systems.. (1. 2005).. 2002. Chung, J.M.; Srinivasan, K.; Soo, H.M.; Kim, S.C. et al.. "Handover control and analysis of WMPLS networks.". (1. 2002).. Chung, J.M.; Srinivasan, K.; Kim, S.C.; Quan, Z. et al.. "Performance analysis of WMPLS signaling and control in ad hoc networks.". (1. 2002).. Srinivasan, K.; Chung, J.M.; IEEE, ; IEEE,. "Wireless internetworking protocol (WIP).". (1. 2002).. Srinivasan, K.; Chung, J.M.. "Wireless internetworking protocol (WIP).". in 45th Midwest Symposium on Circuits and Systems (MWSCAS 2002).. (1. 2002).. Chung, J.M.; Srinivasan, K.; Kim, S.C.; Quan, Z. et al.. "Performance analysis of WMPLS signaling and control in ad hoc networks.". in 45th Midwest Symposium on Circuits and Systems (MWSCAS 2002).. (1. 2002).. Chung, J.M.; Srinivasan, K.; Soo, H.M.; Kim, S.C.. "Handover control and analysis of WMPLS networks.". in 45th Midwest Symposium on Circuits and Systems (MWSCAS 2002).. (1. 2002).. Unknown. Fei Wu*, Yang Yang, Ouyang Zhang*, Kannan Srinivasan, and Ness Shroff. "Anonymous-Query based Rate Control for Wireless Multicast: Approaching Optimality with Constant Feedback.". in ACM Mobihoc 2016.. Patents. Vivek Yenamandra* and Kannan Srinivasan.. "Vidyut: Exploiting power line infrastructure for Enterprise Wireless Networks.". Bo Chen*, Vivek Yenamandra* and Kannan Srinivasan.. "RADIO WITH FLEXIBLE DEGREES OF FREEDOM PROVISION FOR TRANSMIT AND RECEIVE RF CHAINS.". Bo Chen*, Vivek Yenamandra* and Kannan Srinivasan.. "Tracking Keystrokes Using Wireless Signals.". "Vidyut: Exploiting Power Line Infrastructure For Enterprise Wireless Networks.". Department ofComputer Science and Engineering395 Dreese Laboratories2015 Neil AvenueColumbus, OH 43210-1277(614) 292-5813 Phone(614) 292-2911 Fax. Support CSE. Invest in a Buckeye. Your gift will make a difference.. Connect. facebookyoutube. 2019 The Ohio State UniversityAccessibilityPrivacy PolicyHelpLogin. diff --git a/src/data/compiled_bios/4046.txt b/src/data/compiled_bios/4046.txt new file mode 100644 index 0000000000..bd394add9b --- /dev/null +++ b/src/data/compiled_bios/4046.txt @@ -0,0 +1 @@ +Raef Bassily. Assistant Professor, Computer Science & Engineering. 589 Dreese Labs. 2015 Neil Avenue. Columbus,. OH. 43210. bassily.1@osu.edu. https://sites.google.com/view/rbassily. Journal Articles2016. Bassily, R.; Freund, Y.,. 2016,. "Typicality-Based Stability and Privacy..". CoRR. abs/1604.03336,. 2014. Bassily, R.; Smith, A.D.; Thakurta, A.,. 2014,. "Private Empirical Risk Minimization, Revisited..". CoRR. abs/1405.7085,. Bassily, R.; Smith, A.D.,. 2014,. "Causal Erasure Channels..". CoRR. abs/1409.3893,. 2013. Bassily, R.; Ulukus, S.,. 2013,. "Deaf Cooperation and Relay Selection Strategies for Secure Communication in Multiple Relay Networks..". IEEE Trans. Signal Processing. 61,. 1544-1554 -. 1544-1554.. Bassily, R.; Ekrem, E.; He, X.; Tekin, E. et al.,. 2013,. "Cooperative Security at the Physical Layer: A Summary of Recent Advances..". IEEE Signal Process. Mag.. 30,. 16-28 -. 16-28.. 2012. Bassily, R.; Ulukus, S.,. 2012,. "Secure communication in multiple relay networks through decode-and-forward strategies..". Journal of Communications and Networks. 14,. 352-363 -. 352-363.. Bassily, R.; Ulukus, S.,. 2012,. "Ergodic Secret Alignment..". IEEE Trans. Information Theory. 58,. 1594-1611 -. 1594-1611.. Bassily, R.; Ulukus, S.,. 2012,. "Deaf Cooperation for Secrecy With Multiple Antennas at the Helper..". IEEE Trans. Information Forensics and Security. 7,. 1855-1864 -. 1855-1864.. Unknown. Bassily, R.; Thakkar, O.; Thakurta, A.,. "Model-Agnostic Private Learning via Stability.". Bassily, R.; Smith, A.,. "Causal Erasure Channels.". Bassily, R.; Smith, A.,. "Local, Private, Efficient Protocols for Succinct Histograms.". Bassily, R.; Freund, Y.,. "Typical Stability.". Bassily, R.; Ulukus, S.,. "Ergodic Secret Alignment.". Ma, S.; Bassily, R.; Belkin, M.,. "The Power of Interpolation: Understanding the Effectiveness of SGD in. Modern Over-parametrized Learning.". Bassily, R.; Moran, S.; Nachum, I.; Shafer, J. et al.,. "Learners that Use Little Information.". Bassily, R.; Nissim, K.; Smith, A.; Steinke, T. et al.,. "Algorithmic Stability for Adaptive Data Analysis.". Bassily, R.; Smith, A.; Steinke, T.; Ullman, J.,. "More General Queries and Less Generalization Error in Adaptive Data. Analysis.". Bassily, R.; Smith, A.; Thakurta, A.,. "Differentially Private Empirical Risk Minimization: Efficient Algorithms. and Tight Error Bounds.". Bassily, R.; Nissim, K.; Stemmer, U.; Thakurta, A.,. "Practical Locally Private Heavy Hitters.". Papers in Proceedings2018. Bassily, R.; Moran, S.; Nachum, I.; Shafer, J. et al.. "Learners that Use Little Information..". (1. 2018).. 2017. Bassily, R.; Nissim, K.; Stemmer, U.; Thakurta, A.G.. "Practical Locally Private Heavy Hitters..". (1. 2017).. 2016. Bassily, R.; Nissim, K.; Smith, A.D.; Steinke, T. et al.. "Algorithmic stability for adaptive data analysis..". (1. 2016).. 2015. Bassily, R.; Smith, A.D.. "Local, Private, Efficient Protocols for Succinct Histograms..". (1. 2015).. 2014. Bassily, R.; Smith, A.; Thakurta, A.. "Private Empirical Risk Minimization: Efficient Algorithms and Tight Error Bounds.". in 55th Annual IEEE Symposium on Foundations of Computer Science (FOCS).. (1. 2014).. Bassily, R.; Smith, A.; Thakurta, A.; IEEE,. "Private Empirical Risk Minimization: Efficient Algorithms and Tight Error Bounds.". (1. 2014).. Bassily, R.; Smith, A.D.; Thakurta, A.. "Private Empirical Risk Minimization: Efficient Algorithms and Tight Error Bounds..". (1. 2014).. 2013. Bassily, R.; Groce, A.; Katz, J.; Smith, A.D.. "Coupled-Worlds Privacy: Exploiting Adversarial Uncertainty in Statistical Data Privacy..". (1. 2013).. Bassily, R.; Groce, A.; Katz, J.; Smith, A. et al.. "Coupled-Worlds Privacy: Exploiting Adversarial Uncertainty in Statistical Data Privacy.". (1. 2013).. Bassily, R.; Groce, A.; Katz, J.; Smith, A.. "Coupled-Worlds Privacy: Exploiting Adversarial Uncertainty in Statistical Data Privacy.". in IEEE 54th Annual Symposium on Foundations of Computer Science (FOCS).. (1. 2013).. 2012. Bassily, R.; Ulukus, S.. "Decode-and-Forward Based Strategies for Secrecy in Multiple-Relay Networks.". in IEEE Wireless Communications and Networking Conference (WCNC).. (1. 2012).. Bassily, R.; Ulukus, S.. "Deaf cooperation for secrecy with a multi-antenna helper..". (1. 2012).. Bassily, R.; Ulukus, S.. "Decode-and-Forward based strategies for secrecy in multiple-relay networks..". (1. 2012).. Bassily, R.; Ulukus, S.; IEEE,. "Decode-and-Forward Based Strategies for Secrecy in Multiple-Relay Networks.". (1. 2012).. 2011. Bassily, R.; Ulukus, S.; IEEE,. "Deaf Cooperation for Secrecy in Multiple-Relay Networks.". (1. 2011).. Bassily, R.; Ulukus, S.. "Deaf Cooperation for Secrecy in Multiple-Relay Networks.". in IEEE GLOBECOM Workshops (GC Wkshps).. (1. 2011).. Bassily, R.; Ulukus, S.. "Deaf cooperation for secrecy in multiple-relay networks..". (1. 2011).. 2010. Bassily, R.; Ulukus, S.. "Ergodic Secret Alignment for the Fading Multiple Access Wiretap Channel.". in 2010 IEEE International Conference on Communications.. (1. 2010).. Bassily, R.; Ulukus, S.. "Ergodic Secret Alignment for the Fading Multiple Access Wiretap Channel..". (1. 2010).. Bassily, R.; Ulukus, S.; IEEE,. "Ergodic Secret Alignment for the Fading Multiple Access Wiretap Channel.". (1. 2010).. 2009. Bassily, R.; Ulukus, S.; IEEE,. "A New Achievable Ergodic Secrecy Rate Region for the Fading Multiple Access Wiretap Channel.". (1. 2009).. Bassily, R.; Ulukus, S.. "A New Achievable Ergodic Secrecy Rate Region for the Fading Multiple Access Wiretap Channel.". in 47th Annual Allerton Conference on Communication, Control, and Computing.. (1. 2009).. Department ofComputer Science and Engineering395 Dreese Laboratories2015 Neil AvenueColumbus, OH 43210-1277(614) 292-5813 Phone(614) 292-2911 Fax. Support CSE. Invest in a Buckeye. Your gift will make a difference.. Connect. facebookyoutube. 2019 The Ohio State UniversityAccessibilityPrivacy PolicyHelpLogin. diff --git a/src/data/compiled_bios/4047.txt b/src/data/compiled_bios/4047.txt new file mode 100644 index 0000000000..320fa03357 --- /dev/null +++ b/src/data/compiled_bios/4047.txt @@ -0,0 +1 @@ +Mikhail Belkin. Professor, Statistics. Professor, Computer Science & Engineering. 597 Dreese Laboratories. 2015 Neil Ave. Columbus,. OH. 43210. 614-292-5841. belkin.8@osu.edu. http://web.cse.ohio-state.edu/~mbelkin. Honors. January, 2011. 2011 Lumley Research Award.. Chapters2013. 2013.. "Semi-Supervised Learning.". In Academic Press Library in Signal Processing: Signal Processing Theory and Machine Learning,. 2006. 2006.. "The Geometric Basis of Semi-supervised Learning.". In Semi-supervised Learning,. edited by Chapelle, O., B. Schlkopf and A. Zien,. Journal Articles2011. Melacci, S; Belkin, M,. 2011,. "Laplacian Support Vector Machines Trained in the Primal.". JOURNAL OF MACHINE LEARNING RESEARCH. 12,. 1149-1184 -. 1149-1184.. 2010. S. Melacci, M. Belkin,. 2010,. "Laplacian Support Vector Machines Trained in the Primal.". The Journal of Machine Learning Research. 2006. M. Belkin, P. Niyogi, V. Sindhwani,. 2006,. "Manifold Regularization: a Geometric Framework for Learning from Examples.". Journal of Machine Learning Research. 7,. 2399-2434 -. 2399-2434.. 2004. M. Belkin, P. Niyogi,. 2004,. "Semi-supervised Learning on Riemannian Manifolds.". Machine Learning. 56,. no. 56,. 209-239 -. 209-239.. Presentations. ""Learning a Basis from Imperfect measurements: Why and how..". 2015,. Presented at Conference on Geometry and Data Analysis, University of Chicago,,. "Basis learning and spectral clustering.". 2015,. Presented at Penn State Statistics Colloquium,. "Geometric Aspects of Optimization and Applications to Spectral Clustering.". 2016,. Presented at Shape Analysis and Learning by Geometry and Machine,. "Machine learning: an introduction.". 2016,. Presented at Workshop on Computational Brain Research at IIT Madras,. "Back to the future: Radial Basis Function networks revisited.". 2016,. Presented at Information Theory and Application Workshop,. "Learning Mixture of Gaussians using Spectral Methods.". 2007,. Presented at Workshop on Geometric and Topological Approaches to Data Analysis,. "Learning from labeled and unlabeled data.". 2007,. Presented at The North Carolina State University, EECS Seminar,. "Geometry and Learning.". 2007,. Presented at 56th Session of the International Statistical Institute,. "Aspects of Manifold and Statistical Learning.". 2007,. Presented at Conference on Applied Inverse Problems (AIP) 2007,. "Aspects of Manifold and Statistical Learning.". 2007,. Presented at Information Theory and Applications Workshop,. "Aspects of Manifold and Statistical Learning.". 2007,. Presented at PASCAL Workshop on Graph Theory and Machine Learning,. "Aspects of Manifold and Statistical Learning.". 2007,. Presented at 6th International Congress on Industrial & Applied Mathematics,. "Aspects of Manifold and Statistical Learning.". 2007,. Presented at SIAM Conference on Applications of Dynamical Systems,. "New developments in Gaussian mixture modelling.". 2010,. Presented at Oregon State University joint Mathematics/Computer Science Colloquium,. "Mixture Learning and Eigenfunctions of Convolution Operators.". 2010,. Presented at 13th International Conference on Approximation Theory,. "Learning Gaussian Mixture Distributions.". 2010,. Presented at UCSD Information Theory and Applications Workshop,. "Clustering, Gaussian Mixture Models, and Sparse Eigenfunction Bases for Semi-Supervised Learning.". 2010,. Presented at Purdue Computer Science & Machine Learning Colloquium,. "Learning Mixtures of Gaussians in High Dimension.". 2011,. Presented at The Fourth International Conference on computational Harmonic Analysis,. "Learning Gaussian Mixture Models.". 2011,. Presented at Dagstuhl Workshop on Mathematical and Computational Foundations of Learning Theory,. "Supervised and Unsupervised Learning in High Dimension.". 2010,. Presented at OSU Center for Cognitive Science Cogfest 2010,. "Geometrical Methods and Data Analysis.". 2010,. Presented at Laboratoire J.-V. Poncelet,. "Spectral Methods in Statistical Learning.". 2008,. Presented at BIRS workshop on Understanding the New Statistics: Expanding Core Statistical Theory,. "Spectral Methods in Learning.". 2008,. Presented at 2008 Beijing International Conference on Machine Learning and Data Mining,. "Manifold Learning.". 2008,. Presented at 2nd LANL/OSU Workshop,. "Manifold Laplacians and Machine Learning.". 2008,. Presented at OSU Department of Mathematics, geometry seminar,. "Manifold and Geometric Learning.". 2008,. Presented at IMA workshop on Multi-Manifold Data Modeling and Applications,. "Learning Mixtures of Gaussians using Spectral Methods.". 2008,. Presented at FOCM Workshop on Learning Theory,. "Geometric View of Machine Learning.". 2008,. Presented at OSU Center for Cognitive Science Seminar Series,. "Geometric and spectral methods in learning.". 2008,. Presented at Carnegie-Mellon University Statistics Colloquium,. "Understanding Hidden Structure: Manifold Learning from Labeled and Unlabeled Data.". 2011,. Presented at Ohio State ECE IPS Seminar,. "Manifold learning, the heat equation and spectral clustering.". 2011,. Presented at Statistical Learning Theory and Applications (MIT CBCL course),. "Learning Mixtures of Gaussians in High Dimension.". 2011,. Presented at MIT Brains & Machines Seminar,. "Tutorial on Manifold and Semi-supervised Learning.". 2009,. Presented at Summer School on Manifold Learning in Image and Signal Analysis,. "Tutorial on Machine Learning.". 2009,. Presented at Summer School an Neuroinformatics,. "Towards Understanding Mixtures of Gaussians: Spectral Methods and Polynomial Time Learning with No Separation.". 2009,. Presented at Forum on Geometric Aspects of Machine Learning and Visual Analytics: Recent Developments and Future Challenges,. "Statistical Aspects og High-dimensional data.". 2009,. Presented at Peking University Statistics Department Colloquium,. "Statistical Aspects og High-dimensional data.". 2009,. Presented at Zhijiang University Computer Science,. "Semi-supervised Learning using Sparse Eigenfunction Bases and Gaussian Mixture Models.". 2009,. Presented at Center for Imaging Science Colloquium, John Hopkins University,. "Manifold and Semi-supervised Learning and Applications.". 2009,. Presented at 1st Sino-USA Summer School in Vision, Learning and Pattern Recognition,. "Manifold and Semi-supervised Learning.". 2009,. Presented at Microsoft Research Asia,. "Manifold and Semi-supervised Learning.". 2009,. Presented at Los Alamos Seminar,. "Learning mixtures of Gaussians using Convolution Operators.". 2009,. Presented at Information Theory and Applications Workshop, ITA 2009,. "Learning Gaussian Mixture Distributions in Hign Dimension.". 2009,. Presented at Seoul National University Statistics Colloquium,. "Geometry and Learning.". 2009,. Presented at Duke University, Computer Science Algorithms Seminar,. "Clustering, sparsity and semi-supervised learning.". 2009,. Presented at NIPS Workshop on Manifolds, Sparsity, and Structured models,. "Introduction to Machine Learning and Manifold Methods.". 2010,. Presented at Summer School in Neuroinformatics,. "An introduction to machine learning.". 2011,. Presented at Summer School an Neuroinformatics,. "Eigenvectors of orthogonally decomposble functions: theory and applications.". 2016,. Presented at ICML 2016 Workshop on Geometry in Machine Learning,. "Spectral Clustering and Semi-supervised Learning.". 2006,. Presented at WNAR/IMS meeting,. "Semi-supervised Learning.". 2006,. Presented at 21st European Conference on Operational Research 2006,. "Geometry and Manifold Structures in Statistical Learning.". 2006,. Presented at Workshop on New Perspectives in Geometric Analysis,. "Geometric View of Machine Learning.". 2006,. Presented at OSU Statistics Colloquium,. "Estimating Surface Volumes of Convex Bodies.". 2006,. Presented at American Mathematical Society Sectional Meeting,. "Aspects of Manifold and Statistical Learning.". 2006,. Presented at Institute of Mathematical Statistics Annual Meeting,. "Aspects of Manifold and Statistical Learning.". 2006,. Presented at Joint Statistical Meeting,. "Learning Mixtures of Gaussians and Other Distributions.". 2012,. Presented at Colloquium at Inria, Saclay,. "Algebraic-Geometric Methods for Learning Gaussian Mixture Models.". 2012,. Presented at Workshop on Algebraic Statistics, IST Austria,. "Inverse Density as an Inverse Problem.". 2013,. Presented at Seminar at Johann Radon Institute for Computational and Applied Mathematics,. "Inverse Density as an Inverse Problem via Fredholm Machines.". 2013,. Presented at Colloquium at the Italian Institute of Technology, Genova,. "Dealing with Singular Manifolds:Theory and Applications.". 2012,. Presented at Oberwolfach workshop on Learning Theory and Approximation,,. "Machine Learning and Differential Geometry of the Data.". 2012,. Presented at Colloquium at the Mathematical Sciences Center, Tsinghua University,. "Inverse Density as an Inverse Problem.". 2013,. Presented at International Conference on Approximation Theory and Applications,. "Understanding geometry of the data.". 2010,. Presented at International Conference on Geometry/Imaging,. "Machine Learning and Differential Geometry of the Data.". 2012,. Presented at Yaroslavl International Conference on Discrete Geometry,. "Inverse Density as an Inverse Problem.". 2013,. Presented at MPI for Biological Cybernetics, Tubingen,. "Inverse Density Estimation using Fredholm Machines.". 2013,. Presented at Spectral Learning Workshop, ICML 2013,. "Spectal Clustering Revisited.". 2013,. Presented at Workshop on Modern Applications of Homology and Cohomolog,. "Features and Representations.". 2013,. Presented at Workshop on Learning Data Representation: Hierarchies and Invarianc,. "Manifold and Semi-supervised Learning.". 2013,. Presented at Case Western CS Colloquium,. "Computing the Surface Area of a Convex Body using Heat Flows.". 2013,. Presented at International conference on Geometry, Topology, and Applications,,. "The Hidden Convexity of Spectral Clustering.". 2013,. Presented at NIPS 2013 Spectral Learning Workshop,. "Machine Learning and the Differential Geometry of the Data.". 2014,. Presented at Conference on Numerical Analysis and Scientific Computing,. "The Hidden Convexity of Spectral Clustering.". 2014,. Presented at Information Theory and Applications,. "The Hidden Convexity of Spectral Clustering.". 2014,. Presented at SAMSI Program on Low-dimensional Structure in High-dimensional Systems (LDHD) Transition Workshop,. "Independent Component Analysis, Spectral Clustering and the Blessing of Dimensionality.". 2014,. Presented at Duke CS Seminar,. "Statistical Machine Learning and Kernel Methods.". 2014,. Presented at MADALGO Summer School on Learning at Scale,. "Learning with Fredholm Kernels.". 2015,. Presented at Information Theory and Aplication,. "Gaussian Mixture Learning in High and Low Dimension.". 2015,. Presented at Neymann Seminar (Dept. of Statistics),. "Learning a Basis from Imperfect measurements: Why and how.". 2014,. Presented at Meeting on Mathematical Statistics, CIRM,. "Learning a Basis from Imperfect measurements: Why and how.". 2014,. Presented at Foundations of Computation Mathematics,. "Learning a Basis from Imperfect measurements: Why and how.". 2015,. Presented at Information Theory, Learning and Big Data,. "Learning a Basis from Imperfect measurements: Why and how.". 2015,. Presented at Groups and interactions in data, networks and biology,. "Learning from Labeled and Unlabeled Data.". 2007,. Presented at Industrial and Systems Engineering Seminar series,. "Eigenvectors of orthogonally decomposable functions: theory and applications.". 2016,. Presented at Simons Institute Seminar,. "Learning a Basis from Imperfect measurements: Why and how.". 2016,. Presented at Wilks Statistics Seminar, Princeton University,. "Toward understanding complex spaces: graph Laplacians on manifolds with singularities and boundaries.". 2012,. Presented at AMS Sectional Meeting, Special Session on Applied Topology,. "Algebraic-Geometric Methods for Learning Mixtures of Gaussians and Other Distributions.". 2012,. Presented at BIRS Workshop on Topological Data Analysis and Machine Learning Theory,. "Algebraic geometry for learning high-dimensional mixtures of Gaussians and other distributions.". 2012,. Presented at Nonparametric and high-dimensional statistics,. "Radial basis function networks unshackled.". 2016,. Presented at Boston University Data Science Initiative (DSI) Colloquium,. "Eigenvectors of orthogonally decomposable functions and applications.". 2016,. Presented at MIT Data Science Colloquium,. "Machine Learning: Shallow Architectures.". 2017,. Presented at Workshop on Computational Brain Research at IIT Madras,. "Smoothness and learning from data.". 2017,. Presented at UCLA CS Colloquium,. "Making shallow learning great again.". 2017,. Presented at Information Theory and Application Workshop,. "Subtle but not malicious? The (high) computational cost of non-smoothness in learning from big data.". 2017,. Presented at UC Berkeley Neymann Statistics Colloquium,. Papers in Proceedings2016. Mikhail Belkin, Luis Rademacher, James Voss. "Learning a Hidden Basis Through Imperfect Measurements: An Algorithmic Primitive.". in COLT 2016.. (6. 2016).. Jihun Hamm, Paul Cao, Mikhail Belkin. "Learning Privately from Multiparty Data.". in ICML 2016.. (6. 2016).. James Voss, Mikhail Belkin, Luis Rademacher. "The Hidden Convexity of Spectral Clustering.". in AAAI 2016.. (2. 2016).. Mikhail Belkin, Luis Rademacher, James Voss. "Learning a Hidden Basis Through Imperfect Measurements: An Algorithmic Primitive.". in COLT 2016.. (6. 2016).. Chaoyue Liu, Mikhail Belkin. "Clustering with Bregman Divergence.". in Neural Inormation Processing Systems (NIPS).. (12. 2016).. Qichao Que, Mikhail Belkin. "Back to the future: Radial Basis Function networks revisited.". in AI&Statistics 2016.. (5. 2016).. Justin Eldridge, Mikhail Belkin, Yusu Wang. "Graphons, mergeons, and so on!.". in Neural Information Processing (NIPS).. (12. 2016).. 2015. Hamm, J.; Champion, A.C.; Chen, G.; Belkin, M. et al.. "Crowd-ML: A Privacy-Preserving Learning Framework for a Crowd of Smart Devices.". (1. 2015).. Justin Eldridge, Mikhail Belkin, Yusu Wang. "Beyond Hartigan Consistency: Merge Distortion Metric for Hierarchical Clustering.". in COLT 2015.. (6. 2015).. J. Hamm, A. Champion, G. Chen, M. Belkin, and D. Xuan. "Crowd-ML: A Privacy-Preserving Learning Framework for a Crowd of Smart Devices.". in ICDCS 2015.. (6. 2015).. Hamm, J.; Champion, A.C.; Chen, G.; Belkin, M. et al.. "Crowd-ML: A Privacy-Preserving Learning Framework for a Crowd of Smart Devices.". (1. 2015).. Hamm, J.; Champion, A.C.; Chen, G.; Belkin, M. et al.. "Crowd-ML: A Privacy-Preserving Learning Framework for a Crowd of Smart Devices.". in 2015 IEEE 35th International Conference on Distributed Computing Systems.. (1. 2015).. J. Hamm, A. Champion, G. Chen, M. Belkin, and D. Xuan,. "Crowd-ML: A Privacy-Preserving Learning Framework for a Crowd of Smart Devices.". in IEEE International Conference on Distributed Computing Systems (ICDCS),.. (6. 2015).. James Voss, Mikhail Belkin, Luis Rademacher. "A Pseudo-Euclidean Iteration for Optimal Recovery in Noisy ICA.". in NIPS 2015.. (12. 2015).. 2014. Que, Q.; Belkin, M.; Wang, Y.. "Learning with Fredholm Kernels.". (1. 2014).. Joseph Anderson, Mikhail Belkin, Navin Goyal, Luis Rademacher, James Voss. "The More, the Merrier: the Blessing of Dimensionality for Learning Large Gaussian Mixtures,.". in 27th Annual Conference on Learning Theory (COLT 2014).. (6. 2014).. Qichao Que, Mikhail Belkin, Yusu Wang. "Learning with Fredholm Kernels.". in NIPS 2014.. (12. 2014).. Que, Q.; Belkin, M.; Wang, Y.. "Learning with fredholm kernels.". (1. 2014).. Que, Q.; Belkin, M.; Wang, Y.. "Learning with Fredholm Kernels.". in 28th Conference on Neural Information Processing Systems (NIPS).. (1. 2014).. 2013. Shang, F.; Jiao, L.C.; Liu, Y.; Tong, H.. "Semi-supervised learning with nuclear norm regularization.". (8. 2013).. Shang, F.; Jiao, L.C.; Liu, Y.; Tong, H.. "Semi-supervised learning with nuclear norm regularization.". (8. 2013).. Qichao Que, Mikhail Belkin. "Inverse Density as an Inverse Problem: The Fredholm Equation Approach.". in Neural Information Processing (NIPS).. (12. 2013).. Voss, J.; Rademacher, L.; Belkin, M.. "Fast algorithms for Gaussian noise invariant Independent Component Analysis.". (1. 2013).. James Voss, Luis Rademacher, Mikhail Belkin. "Fast Algorithms for Gaussian Noise Invariant Independent Component Analysis.". in Neural Information Processing (NIPS).. (12. 2013).. M. Belkin, L. Rademacher, J. Voss. "Blind signal separation in the presence of Gaussian noise.". in The 26th Annual Conference on Learning Theory (COLT 2013).. (6. 2013).. Que, Q.; Belkin, M.. "Inverse density as an inverse problem: The Fredholm equation approach.". (1. 2013).. Zhuang, Y.; Belkin, M.; Dennis, S.. "Metric based automatic event segmentation.". (3. 2013).. Hamm, J.; Stone, B.; Belkin, M.; Dennis, S.. "Automatic annotation of daily activity from smartphone-based multisensory streams.". (3. 2013).. 2012. Yuwen Zhuang, Mikhail Belkin, Simon Dennis. "Metric Based Automatic Event Segmentation.". in MOBICASE 2012.. (10. 2012).. Mikhail Belkin, Qichao Que, Yusu Wang, Xueyuan Zhou. "Toward Understanding Complex Spaces: Graph Laplacians on Manifolds with Singularities and Boundaries.". in COLT 2012.. (6. 2012).. Jihun Hamm, Benjamin Stone, Mikhail Belkin, Simon Dennis. "Automatic Annotation of Daily Activity from Smartphone-Based Multisensory Streams..". in MOBICASE 2012.. (10. 2012).. 2011. X. Zhou, M. Belkin. "Semi-supervised Learning by Higher Order Regularization.". in Proceedins of the Fourteenth International Conference on Artificial Intelligence and Statistics (AI&Statistics), 2011.. (1. 2011).. X. Ge, I. Safa, M. Belkin, Y. Wang. "Data Skeletonization via Reeb Graphs.". in Twenty-Fifth Annual Conference on Neural Information Processing Systems (NIPS 2011).. (12. 2011).. 2010. M. Belkin, K. Sinha. "Polynomial Learning of Distribution Families.". in 51st Annual IEEE Symposium on Foundations of Computer Science (FOCS 2010).. (10. 2010).. V. Sreekumar, Y. Zhuang, S. Dennis, M. Belkin. "The dimensionality of episodic images..". in The Proceedings of the Thirty Second Conference of the Cognitive Science Society... (1. 2010).. Sreekumar, V.; Zhuang, Y.; Dennis, S.J.; Belkin, M.. "The dimensionality of episodic images.". (1. 2010).. A. Plummer, M. Beckman, M. Belkin, E. Fosler-Lussier, and B. Munson. "Learning speaker normalization using semisupervised manifold alignment.". in Proceedings of the 11th Annual Conference of the International Speech Communication Association (INTERSPEECH 2010).. (9. 2010).. Sreekumar, V.; Zhuang, Y.; Dennis, S.J.; Belkin, M.. "The dimensionality of episodic images.". in 32nd Annual Meeting of the Cognitive-Science-Society.. (1. 2010).. M. Belkin, K. Sinha. "Toward Learning Gaussian Mixtures with Arbitrary Separation.". in 23rd Annual Conference on Learning Theory (COLT 2010).. (6. 2010).. Plummer, A.R.; Beckman, M.E.; Belkin, M.; Fosler-Lussier, E. et al.. "Learning speaker normalization using semisupervised manifold alignment.". (1. 2010).. Belkin, M.; Sinha, K.. "Toward learning Gaussian mixtures with Arbitrary separation.". (12. 2010).. 2009. L. Rosasco, M.Belkin, E. De Vito,. "A Note on Perturbation Results for Learning Empirical Operators.". in 22nd Annual Conference on Learning Theory (COLT 2009).. (1. 2009).. M. Belkin, J. Sun, Y. Wang. "Discrete Laplace Operator for Meshed Surfaces.". in 24th Annual Symposium on Computational Geometry (SOCG 2008).. (1. 2009).. Sinha, K.; Belkin, M.. "The value of labeled and unlabeled examples when the model is imperfect.". (12. 2009).. Sinha, K.; Belkin, M.. "Semi-supervised Learning using sparse eigenfunction bases.". (12. 2009).. K. Sinha, M.Belkin. "Semi-supervised Learning using Sparse Eigenfunction Bases.". in Advances in Neural Information Processing Systems (NIPS 22).. (12. 2009).. M. Belkin, J. Sun, Y. Wang. "Constructing Laplace Operator from Point Clouds in R^d.". in Proceedings of the Twentieth Annual ACM-SIAM Symposium on Discrete Algorithms, SODA 2009.. (1. 2009).. 2008. L. Ding, M. Belkin. "Component Based Shape Retrieval Using Differential Profiles.". in Proceedings of the 1st ACM SIGMM International Conference on Multimedia Information Retrieval, MIR 2008.. (1. 2008).. T. Shi, M. Belkin, B. Yu. "Data Spectroscopy: Learning Mixture Models using Eigenspaces of Convolution Operators.". in Proceedings of the 25th International Conference on Machine Learning (ICML 2008).. (1. 2008).. L. Ding, M. Belkin. "Probabilistic Mixtures of Differential Profiles for Shape Recognition.". in 19th International Conference on Pattern Recognition (ICPR 2008).. (1. 2008).. Ding, L.; Belkin, M.. "Component based shape retrieval using differential profiles.". (12. 2008).. Shi, T.; Belkin, M.; Yu, B.. "Data spectroscopy: Learning mixture models using eigenspaces of convolution operators.". (11. 2008).. 2007. Belkin, M.; Niyogi, P.. "Convergence of Laplacian eigenmaps.". (12. 2007).. Narayanan, H.; Belkin, M.; Niyogi, P.. "On the relation between low density separation, spectral clustering and graph cuts.". (12. 2007).. K. Sinha, M. Belkin. "The value of labeled and unlabeled examples when the model is imperfect.". in Neural Information Processing Systems (NIPS 2007).. (1. 2007).. 2006. Belkin, M.; Narayanan, H.; Niyogi, P.; SOC, I.C.. "Heat flow and a faster algorithm to compute the surface area of a convex body.". (1. 2006).. Belkin, M.; Narayanan, H.; Niyogi, P.. "Heat flow and a faster algorithm to compute the surface area of a convex body.". (12. 2006).. Belkin, M.; Narayanan, H.; Niyogi, P.. "Heat flow and a faster algorithm to compute the surface area of a convex body.". in 47th Annual IEEE Symposium on Foundations of Computer Science.. (1. 2006).. H. Narayanan, M. Belkin, P. Niyogi,. "On the Relation Between Low Density Separation, Spectral Clustering and Graph Cuts.". in Neural Information Processing Systems, 2006.. (1. 2006).. M. Belkin, H. Narayanan, P. Niyogi. "Heat Flow and a Faster Algorithm to Compute the Surface Area of a Convex Body.". in 46th Annual IEEE Symposium on Foundations of Computer Science, 2006.. (1. 2006).. M. Belkin, P. Niyogi. "Convergence of Laplacian Eigenmaps.". in Neural Information Processing systems 2006.. (1. 2006).. 2005. Belkin, M.; Niyogi, P.. "Towards a theoretical foundation for Laplacian-based manifold methods.". (1. 2005).. Belkin, M.; Niyogi, P.; Sindhwani, V.. "On manifold regularization.". (12. 2005).. V. Sindhwani, P. Niyogi, M. Belkin. "Beyond the Point Cloud: from Transductive to Semi-supervised Learning.". in The 22nd International Conference on Machine Learning, 2005.. (1. 2005).. V. Sindhwani, P. Niyogi, M. Belkin. "A Co-Regularization Approach to Semi-supervised Learning with Multiple Views.". in ICML Workshop on Learning with Multiple Views, 2005.. (1. 2005).. Sindhwani, V.; Niyogi, P.; Belkin, M.. "Beyond the point cloud: From transductive to semi-supervised learning.". (12. 2005).. Von Luxburg, U.; Bousquet, O.; Belkin, M.. "Limits of spectral clustering.". (1. 2005).. M. Belkin, P. Niyogi. "Towards a Theoretical Foundation for Laplacian-Based Manifold Methods.". in 18th Annual Conference on Learning Theory, COLT 2005.. (1. 2005).. Y. Altun, D. McAllester, M. Belkin. "Maximum Margin Semi-Supervised Learning for Structured Variables.". in Proceedings of Neural Information Processing Systems, NIPS 2005.. (1. 2005).. V. Sindhwani, P. Niyogi, M. Belkin, S. Keerthi. "Linear Manifold Regularization for Large Scale Semi-supervised Learning.". in ICML Workshop on Learning with Partially Classified Training Data, 2005.. (1. 2005).. M. Belkin, P. Niyogi, V. Sindhwani. "On Manifold Regularization.". in AI and Statistics, 2005.. (1. 2005).. Belkin, M.; Niyogi, P.. "Towards a theoretical foundation for Laplacian-based manifold methods.". (12. 2005).. Belkin, M.; Niyogi, P.. "Towards a theoretical foundation for Laplacian-based manifold methods.". in 18th Annual Conference on Learning Theory (COLT 2005).. (1. 2005).. Altun, Y.; McAllester, D.; Belkin, M.. "Maximum margin semi-supervised learning for structured variables.". (12. 2005).. 2004. Von Luxburg, U.; Bousquet, O.; Belkin, M.. "On the convergence of spectral clustering on random samples: The normalized case.". (12. 2004).. M. Belkin, I. Matveeva, P. Niyogi. "Tikhonov Regularization and Semi-supervised Learning on Large Graphs.". in International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2004, Special Session: Manifolds and Geometry in Signal Processing.. (1. 2004).. von Luxburg, U.; Bousquet, O.; Belkin, M.. "On the convergence of spectral clustering on random samples: The normalized case.". (1. 2004).. M. Belkin, I. Matveeva, P. Niyogi. "Regularization and Semi-supervised Learning on Large Graphs.". in 17th Annual Conference on Learning Theory, COLT 2004.. (1. 2004).. von Luxburg, U.; Bousquet, O.; Belkin, M.. "On the convergence of spectral clustering on random samples: The normalized case.". in 17th Annual Conference on Learning Theory (COLT 2004).. (1. 2004).. U. von Luxburg, O. Bousquet, M. Belkin. "Limits of Spectral Clustering.". in Neural Information Processing Systems (NIPS 2004).. (1. 2004).. U. von Luxburg, O. Bousquet, M. Belkin. "On the Convergence of Spectral Clustering on Random Samples: the Normalized Case.". in Computational Learning Theory (COLT 2004).. (1. 2004).. 2003. Belkin, M.; Niyogi, P.. "Using manifold structure for partially labelled classification.". (1. 2003).. 2002. M. Belkin, P. Niyogi. "Using Manifold Structure for Partially Labeled Classification,.". in Proceedings of Neural Information Processing Systems (NIPS 2002).. (1. 2002).. M. Belkin, J. Goldsmith. "Using Eigenvectors of the Bigram Graph to Infer Morpheme Identity.". in Morphological and Phonological Learning: Proceedings of the 6th Workshop of the ACL Special Interest Group in Computational Phonology (SIGPHON 2002).. (1. 2002).. 2001. M. Belkin, P. Niyogi. "Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering.". in Neural Information Processing Systems, (NIPS 2001)... (1. 2001).. Unknown. Que, Q.; Belkin, M.. "Inverse Density as an Inverse Problem: The Fredholm Equation Approach.". Hamm, J.; Champion, A.; Chen, G.; Belkin, M. et al.. "Crowd-ML: A Privacy-Preserving Learning Framework for a Crowd of Smart. Devices.". Department ofComputer Science and Engineering395 Dreese Laboratories2015 Neil AvenueColumbus, OH 43210-1277(614) 292-5813 Phone(614) 292-2911 Fax. Support CSE. Invest in a Buckeye. Your gift will make a difference.. Connect. facebookyoutube. 2019 The Ohio State UniversityAccessibilityPrivacy PolicyHelpLogin. diff --git a/src/data/compiled_bios/4048.txt b/src/data/compiled_bios/4048.txt new file mode 100644 index 0000000000..fb79dce6d8 --- /dev/null +++ b/src/data/compiled_bios/4048.txt @@ -0,0 +1 @@ +Spyros Blanas. Assistant Professor, Computer Science & Engineering. 693 Dreese Laboratories. 2015 Neil Ave. Columbus,. OH. 43210. 614-292-6381. blanas.2@osu.edu. http://web.cse.ohio-state.edu/~sblanas. Honors. April, 2018. IEEE TCDE Rising Star Award.. August, 2014. Faculty Research Award.. Books. Blanas, S.; Sadoghi, M... "Transaction Processing on Modern Hardware.". Description of effort: Organized the material, created the overall structure and wrote the chapters on indexing, concurrency control and recovery... Edited Books2017. Blanas, S.; Bordawekar, R.; Lahiri, T.; Levandoski, J. et al... 2017.. "Data Management on New Hardware 7th International Workshop on Accelerating Data Analysis and Data Management Systems Using Modern Processor and Storage Architectures, ADMS 2016 and 4th International Workshop on In-Memory Data Management and Analytics, IMDM 2016, New Delhi, India, September 1, 2016, Revised Selected Papers.". Description of effort: Coordinated with authors of individual chapter, reviewed the material, verified compliance with Springer requirements, was the main liaison to Springer for all book co-authors... Chapters2018. 2018.. "In-memory transaction processing.". In Encyclopedia of Big Data Technologies,. edited by Sakr, S.; Zomaya, A.,. 2018.. "Parallel join algorithms in MapReduce.". In Encyclopedia of Big Data Technologies,. edited by Sakr, S.; Zomaya, A.,. Journal Articles2016. Yuan, Y.; Wang, K.; Lee, R.; Ding, X. et al.,. 2016,. "BCC: Reducing false aborts in optimistic concurrency control with low cost for in memory databases.". PVLDB. 9,. no. 6,. 504-515 -. 504-515.. 2011. Larson, P.A.; Blanas, S.; Diaconu, C.; Freedman, C. et al.,. 2011,. "High-performance concurrency control mechanisms for main-memory databases.". PVLDB. 5,. no. 4,. 298-309 -. 298-309.. Unknown. Quoc, D.L.; Akkus, I.E.; Bhatotia, P.; Blanas, S. et al.,. "Approximate Distributed Joins in Apache Spark.". Presentations. "Data management for HPC clusters.". 2017,. Presented at Dagstuhl Seminar 17101. Dagstuhl, Germany.,. "Hyperscaling data analytics for high-performance computers.". 2018,. Presented at University of Wisconsin-Madison. Madison, WI.,. "Scaling database systems to high-performance computers.". 2018,. Presented at DaMoN workshop, at SIGMOD'18. Houston, TX.,. "Scaling data management to scientific datacenter-scale computers.". 2016,. Presented at Huawei Innovation Research Program, VLDB'16. New Delhi, India.,. "Designing a declarative data processing kernel for high-end computing facilities.". 2016,. Presented at IBM Research India. New Delhi, India.,. "Data management for datacenter-scale computers.". 2016,. Presented at Midwest Big Data Opportunities and Challenges workshop. Chicago, IL.,. "Towards large-scale declarative analyses directly on scientific file formats.". 2015,. Presented at Argonne National Laboratory. Chicago, IL.,. "Towards efficient in situ data processing at scale.". 2014,. Presented at IBM Research Almaden. San Jose, CA.,. "Towards efficient in situ data processing at scale.". 2014,. Presented at Pivotal. San Jose, CA.,. "Towards efficient in situ data processing at scale.". 2014,. Presented at Cloudera. San Fransisco, CA.,. "Scalable in situ query processing for exploratory data analysis.". 2014,. Presented at CMU/UPitt Database Seminar. Pittsburgh, PA.,. "Scalable in situ data processing for exploratory data analysis.". 2014,. Presented at Microsoft Research & SQL Server groups. Bellevue, WA.,. "Integrating datacenter-scale analyses with scientific file formats.". 2015,. Presented at Snowflake Computing. Santa Clara, CA.,. "High-Performance Main Memory Data Management.". 2013,. Presented at UC-Berkeley AMPLab Database Seminar. Berkeley, CA.,. "High-Performance Main Memory Data Management.". 2013,. Presented at HP Labs Palo Alto. Palo Alto, CA.,. "Designing a declarative data processing kernel for high-end computing facilities.". 2016,. Presented at Google. Madison, WI.,. "Designing a declarative data processing kernel for high-end computing facilities.". 2016,. Presented at Hewlett-Packard Enterprise Labs. Palo Alto, CA.,. "Designing a declarative data processing kernel for high-end computing facilities.". 2016,. Presented at Oracle Labs. Redwood Shores, CA.,. "Scaling database systems to high-performance computers.". 2018,. Presented at EPFL, Lausanne, Switzerland,. "Scaling database systems to high-performance computers.". 2018,. Presented at COMPASS Seminar, ETH-Zurich, Zurich, Switzerland,. "Cloud Database(aaS) Architectures --- more than just an infrastructure topic?.". 2018,. Presented at 2018 SAP HANA TechDays, Galveston, TX,. Papers in Proceedings2018. Xing, H.; Floratos, S.; Blanas, S.; Byna, S. et al.. "ArrayBridge: Interweaving declarative array processing in SciDB with imperative HDF5-based programs.". in 34th IEEE International Conference on Data Engineering (ICDE '18).. (4. 2018).. 2017. Liu, F.; Yin, L.; Blanas, S.. "Design and evaluation of an RDMA-aware data shuffling operator for parallel database systems.". (4. 2017).. Liu, F.; Yin, L.; Blanas, S.. Design and Evaluation of an RDMA-aware Data Shuffling Operator for Parallel Database Systems.. in EuroSys'17.. http://url/,. (4. 2017).. 2016. Y. Yuan, K. Wang, R. Lee, X. Ding, J. Xing, S. Blanas, X. Zhang. "BCC: Reducing False Aborts in Optimistic Concurrency Control with Low Cost for In-Memory Databases.". in International Conference on Very Large Data Bases (VLDB).. (2. 2016).. 2015. Liu, F.; Blanas, S.. "Forecasting the Cost of Processing Multi-join Queries via Hashing for Main-memory Databases.". in Conference on 6th ACM Symposium on Cloud Computing (SoCC 2015).. (1. 2015).. Liu, F.; Blanas, S.. "Forecasting the cost of processing multi-join queries via hashing for main-memory databases.". in ACM Symposium on Cloud Computing (SoCC'15).. (8. 2015).. Liu, F.; Blanas, S.. "Forecasting the Cost of Processing Multi-join Queries via Hashing for Main-memory Databases.". (1. 2015).. Liu, F.; Blanas, S.. "Forecasting the Cost of Processing Multi-join Queries via Hashing for Main-memory Databases.". in ACM Symposium on Cloud Computing (SoCC).. (8. 2015).. Liu, F.; Blanas, S.. "Forecasting the cost of processing multi-join queries via hashing for main-memory databases.". (8. 2015).. F. Liu, S. Blanas. "Forecasting the Cost of Processing Multi-join Queries via Hashing for Main-memory Databases.". in ACM Symposium on Cloud Computing (SoCC).. (8. 2015).. 2014. Blanas, S.; Wu, K.; Byna, S.; Dong, B. et al.. "Parallel Data Analysis Directly on Scientific File Formats.". (1. 2014).. Blanas, S.; Wu, K.; Byna, S.; Dong, B. et al.. "Parallel data analysis directly on scientific file formats.". in ACM SIGMOD'14.. (6. 2014).. S. Blanas, K. Wu, S. Byna, B. Dong, A. Shoshani. "Parallel Data Analysis Directly on Scientific File Formats.". in ACM Special Interest Group on Management Of Data (SIGMOD).. (6. 2014).. Blanas, S.; Wu, K.; Byna, S.; Dong, B. et al.. "Parallel Data Analysis Directly on Scientific File Formats.". in ACM SIGMOD International Conference on Management of Data.. (1. 2014).. Blanas, S.; Wu, K.; Byna, S.; Dong, B. et al.. "Parallel data analysis directly on scientific file formats.". (1. 2014).. 2013. Arasu, A.; Blanas, S.; Eguro, K.; Joglekar, M. et al.. "ACM SIGMOD 2013.". in ACM SIGMOD'13.. (7. 2013).. Arvind Arasu, Spyros Blanas, Ken Eguro, Manas Joglekar, Raghav Kaushik, Donald Kossmann, Ravishankar Ramamurthy, Prasang Upadhyaya, Ramarathnam Venkatesan. "[DEMO] Secure database-as-a-service with Cipherbase.". in ACM SIGMOD International Conference on Management of Data, SIGMOD 2013, New York, NY, USA, June 22-27, 2013... (6. 2013).. Arasu, A.; Blanas, S.; Eguro, K.; Kaushik, R. et al.. "Orthogonal Security with CipherBbase.". in CIDR'13.. (1. 2013).. Arasu, A.; Blanas, S.; Eguro, K.; Joglekar, M. et al.. "Secure database-as-a-service with cipherbase.". (7. 2013).. Blanas, S.; Patel, J.M.. "Memory footprint matters: Efficient equi-join algorithms for main memory data processing.". (1. 2013).. Blanas, S.; Patel, J.M.. "Memory footprint matters: Efficient equi-join algorithms for main memory data processing.". in ACM Symposium on Cloud Computing (SoCC'13).. (1. 2013).. Spyros Blanas, Jignesh M. Patel. "Memory footprint matters: Efficient equi-join algorithms for main memory data processing.". in ACM Symposium on Cloud Computing, SOCC '13, Santa Clara, CA, USA, October 1-3, 2013... (10. 2013).. 2011. Blanas, S.; Li, Y.; Patel, J.M.. "Design and evaluation of main memory hash join algorithms for multi-core CPUs.". in ACM SIGMOD'11.. (7. 2011).. Blanas, S.; Li, Y.; Patel, J.M.. "Design and evaluation of main memory hash join algorithms for multi-core CPUs.". (7. 2011).. 2010. Tran, K.; Blanas, S.; Naughton, J.. "On Transactional Memory, Spinlocks, and Database Transactions.". in ADMS Workshop.. (8. 2010).. Blanas, S.; Patel, J.M.; Ercegovac, V.; Rao, J. et al.. "A comparison of join algorithms for log processing in MapReduce.". in ACM SIGMOD'10.. (7. 2010).. Blanas, S.; Patel, J.M.; Ercegovac, V.; Rao, J. et al.. "A comparison of join algorithms for log processing in MaPreduce.". (7. 2010).. 2007. Blanas, S.; Samoladas, V.. "Contention-based performance evaluation of multidimensional range search in peer-to-peer networks.". (6. 2007).. Unknown. Liu, F.; Blanas, S.. "Forecasting the cost of processing multi-join queries via hashing for. main-memory databases (Extended version).". Patents. Per-Ake Larson, Spyridon Blanas, Cristian Diaconu.. "Efficient multi-version locking for main memory databases.". Patent number: 8407195. Department ofComputer Science and Engineering395 Dreese Laboratories2015 Neil AvenueColumbus, OH 43210-1277(614) 292-5813 Phone(614) 292-2911 Fax. Support CSE. Invest in a Buckeye. Your gift will make a difference.. Connect. facebookyoutube. 2019 The Ohio State UniversityAccessibilityPrivacy PolicyHelpLogin. diff --git a/src/data/compiled_bios/4049.txt b/src/data/compiled_bios/4049.txt new file mode 100644 index 0000000000..45f75ae395 --- /dev/null +++ b/src/data/compiled_bios/4049.txt @@ -0,0 +1 @@ +Mike Bond. Associate Professor, Computer Science & Engineering. 697 Dreese Laboratories. 2015 Neil Ave. Columbus,. OH. 43210. 614-292-1408. bond.213@osu.edu. http://web.cse.ohio-state.edu/~mikebond. Honors. March, 2013-February, 2018. Faculty Early Career Development (CAREER) Award.. April, 2016. Lumley Research Award.. October, 2015. Distinguished Artifact Award.. October, 2015. Distinguished Paper Award.. February, 2013. Finalist for Faculty Fellowship.. February, 2012. Finalist for Faculty Fellowship.. June, 2009. Outstanding Doctoral Dissertation Award (for 2008).. August, 2006-August, 2008. Intel Ph.D. Fellowship.. June, 2008. Craziest Idea, Wild and Crazy Ideas session.. August, 2003-August, 2004. Microelectronics and Computer Development (MCD) Fellowship.. March, 2004. Best Student Presenter.. Books2008. Michael David Bond.. 2008.. "Detecting and Tolerating Bugs in Deployed Systems.". The University of Texas at Austin.. Presentations. "Prescient Memory: Exposing Weak Memory Model Behavior by Looking into the Future.". 2016,. Presented at ACM SIGPLAN International Symposium on Memory Management (ISMM),. "Relaxed Dependence Tracking for Parallel Runtime Support.". 2016,. Presented at International Conference on Compiler Construction (CC),. "Rethinking Strong Memory Consistency.". 2016,. Presented at Ghent University,. "Targeted Path Profiling: Lower Overhead Path Profiling for Staged Dynamic Optimization Systems.". 2004,. Presented at EEE/ACM International Symposium on Code Generation and Optimization (CGO),. "Continuous Path and Edge Profiling.". 2005,. Presented at IEEE/ACM International Symposium on Microarchitecture (MICRO),. "Pacer: Proportional Detection of Data Races.". 2010,. Presented at ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI),. "Efficient, Context-Sensitive Detection of Real-World Semantic Attacks.". 2010,. Presented at ACM SIGPLAN Workshop on Programming Languages and Analysis for Security (PLAS),. "Tracking Conflicting Accesses Efficiently for Software Record and Replay.". 2012,. Presented at Microsoft Research Cambridge Systems Workshop,. "Improving Software Reliability at Production Time.". 2007,. Presented at IBM Research, IBM Corporation, Intel Corporation,. "Pacer: Proportional Detection of Data Races.". 2010,. Presented at Tufts University,. "Practical Path Profiling for Dynamic Optimizers.". 2005,. Presented at EEE/ACM International Symposium on Code Generation and Optimization (CGO),. "Probabilistic Calling Context.". 2007,. Presented at ACM SIGPLAN International Conference on Object-Oriented Programming, Systems, Languages, and Applications (OOPSLA),. "Leak Pruning.". 2009,. Presented at ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS),. "Bounding Leaky Programs.". 2008,. Presented at Wild and Crazy Ideas session, ACM SIGPLAN International Symposium on Memory Management (ISMM),. "Making Software Robust in Deployed Systems.". 2009,. Presented at University of Michigan, Duke University, University of Nebraska at Lincoln,. "Achieving Reliability in Deployed Software Systems.". 2010,. Presented at Georgia Institute of Technology, Carnegie Mellon University, University of Chicago, University at Buffalo, University of Toronto, Max Planck Institute for Software Systems, University of Wisconsin, Microsoft Research, University of Rochester, College of William & Mary, Stanford University, Ohio State University,. "Practical Language and System Support for Reliable, Scalable Concurrency.". 2013,. Presented at Carnegie Mellon University,. "Practical Language and System Support for Reliable Concurrent Software.". 2013,. Presented at Purdue University,. "Practical Language and System Support for Reliable Concurrent Software.". 2013,. Presented at University of Michigan,. "Toward Practical Language and Runtime Support for Reliable, Scalable Parallelism.". 2015,. Presented at Massachusetts Institute of Technology and University of Massachusetts at Amherst,. "Drinking from Both Glasses: Adaptively Combining Pessimistic and Optimistic Synchronization for Efficient Parallel Runtime Support.". 2014,. Presented at Workshop on Determinism and Correctness in Parallel Programming (WoDet),. "Hybrid StaticDynamic Analysis for Statically Bounded Region Serializability.". 2015,. Presented at ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS),. "Low-Overhead Software Transactional Memory with Progress Guarantees and Strong Semantics.". 2015,. Presented at ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP),. "Efficient Deterministic Replay of Multithreaded Programs Based on Efficient Tracking of Cross-Thread Dependences.". 2015,. Presented at International Conference on Principles and Practices of Programming on the Java Platform (PPPJ),. "Toward Efficient Strong Memory Model Support for the Java Platform via Hybrid Synchronization.". 2015,. Presented at International Conference on Principles and Practices of Programming on the Java Platform (PPPJ),. "Drinking from Both Glasses: Combining Pessimistic and Optimistic Tracking of Cross-Thread Dependences.". 2016,. Presented at ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP),. "Deployed Software: An Ideal Environment for Fixing Bugs?.". 2008,. Presented at University of Illinois at Urbana-Champaign, University of Washington, University of Oregon, Stanford University, University of California at Santa Cruz, University of California at Berkeley, University of California at San Diego, Texas A&M University,. "Efficient Context Sensitivity for Dynamic Analyses via Calling Context Uptrees and Customized Memory Management.". 2013,. Presented at ACM SIGPLAN International Conference on Object-Oriented Programming, Systems, Languages, and Applications (OOPSLA),. "DoubleChecker: Efficient Sound and Precise Atomicity Checking.". 2014,. Presented at ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI),. "Valor: Efficient, Software-Only Region Conflict Exceptions.". 2015,. Presented at ACM SIGPLAN International Conference on Object-Oriented Programming, Systems, Languages, and Applications (OOPSLA),. "Octet: Capturing and Controlling Cross-Thread Dependences Efficiently.". 2013,. Presented at ACM SIGPLAN International Conference on Object-Oriented Programming, Systems, Languages, and Applications (OOPSLA),. Papers in Proceedings2016. Cao, M.; Roemer, J.; Sengupta, A.; Bond, M.D.. "Prescient Memory: Exposing Weak Memory Model Behavior by Looking into the Future.". (11. 2016).. Cao, M.; Roemer, J.; Sengupta, A.; Bond, M.D.. "Prescient memory: Exposing weak memory model behavior by looking into the future.". (6. 2016).. Cao, M.; Roemer, J.; Sengupta, A.; Bond, M.D.. "Prescient Memory: Exposing Weak Memory Model Behavior by Looking into the Future.". in 15th ACM SIGPLAN International Symposium on Memory Management (ISMM 2016).. (11. 2016).. Man Cao, Minjia Zhang, Aritra Sengupta, Michael D. Bond. "Drinking from Both Glasses: Combining Pessimistic and Optimistic Tracking of Cross-Thread Dependences.". in ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP).. (3. 2016).. Man Cao, Jake Roemer, Aritra Sengupta, Michael D. Bond. "Prescient Memory: Exposing Weak Memory Model Behavior by Looking into the Future.". in ACM SIGPLAN International Symposium on Memory Management (ISMM).. (6. 2016).. Minjia Zhang, Swarnendu Biswas, Michael D. Bond. "Relaxed Dependence Tracking for Parallel Runtime Support.". in International Conference on Compiler Construction (CC).. (3. 2016).. 2015. Sengupta, A.; Biswas, S.; Zhang, M.; Bond, M.D. et al.. "Hybrid Static-Dynamic Analysis for Statically Bounded Region Serializability.". (4. 2015).. Sengupta, A.; Biswas, S.; Zhang, M.; Bond, M.D. et al.. "Hybrid Static-Dynamic Analysis for Statically Bounded Region Serializability.". in 20th International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS).. (4. 2015).. Minjia Zhang, Jipeng Huang, Man Cao, Michael D. Bond. "Low-Overhead Software Transactional Memory with Progress Guarantees and Strong Semantics.". in ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP).. (2. 2015).. Michael D. Bond, Milind Kulkarni, Man Cao, Meisam Fathi Salmi, Jipeng Huang. "Efficient Deterministic Replay of Multithreaded Executions in a Managed Language Virtual Machine.". in International Conference on Principles and Practices of Programming on the Java Platform (PPPJ).. (9. 2015).. Aritra Sengupta, Swarnendu Biswas, Minjia Zhang, Michael D. Bond, Milind Kulkarni. "Hybrid StaticDynamic Analysis for Statically Bounded Region Serializability.". in ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS).. (3. 2015).. Aritra Sengupta, Man Cao, Michael D. Bond, Milind Kulkarni. "Toward Efficient Strong Memory Model Support for the Java Platform via Hybrid Synchronization.". in International Conference on Principles and Practices of Programming on the Java Platform (PPPJ).. (9. 2015).. Sengupta, A.; Biswas, S.; Zhang, M.; Bond, M.D. et al.. "Hybrid static-dynamic analysis for statically bounded region serializability.". (4. 2015).. Sengupta, A.; Biswas, S.; Zhang, M.; Bond, M.D. et al.. "Hybrid static-dynamic analysis for statically bounded region serializability.". (1. 2015).. Swarnendu Biswas, Minjia Zhang, Michael D. Bond, Brandon Lucia. "Valor: Efficient, Software-Only Region Conflict Exceptions.". in ACM SIGPLAN International Conference on Object-Oriented Programming, Systems, Languages, and Applications (OOPSLA).. (10. 2015).. 2014. Swarnendu Biswas, Jipeng Huang, Aritra Sengupta, Michael D. Bond. "DoubleChecker: Efficient Sound and Precise Atomicity Checking.". in ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI).. (6. 2014).. Man Cao, Minjia Zhang, Michael D. Bond. "Drinking from Both Glasses: Adaptively Combining Pessimistic and Optimistic Synchronization for Efficient Parallel Runtime Support.". in Workshop on Determinism and Correctness in Parallel Programming (WoDet).. (3. 2014).. 2013. Michael D. Bond, Milind Kulkarni, Man Cao, Minjia Zhang, Meisam Fathi Salmi, Swarnendu Biswas, Aritra Sengupta, Jipeng Huang. "Octet: Capturing and Controlling Cross-Thread Dependences Efficiently.". in ACM International Conference on Object-Oriented Programming, Systems, Languages, and Applications (OOPSLA).. (10. 2013).. Huang, J.; Bond, M.D.. "Efficient context sensitivity for dynamic analyses via calling context uptrees and customized memory management.". (11. 2013).. Jipeng Huang, Michael D. Bond. "Efficient Context Sensitivity for Dynamic Analyses via Calling Context Uptrees and Customized Memory Management.". in ACM International Conference on Object-Oriented Programming, Systems, Languages, and Applications (OOPSLA).. (10. 2013).. 2011. Xu, G.; Bond, M.D.; Qin, F.; Rountev, A.. "LeakChaser: Helping Programmers Narrow Down Causes of Memory Leaks.". in 32nd ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI 11).. (1. 2011).. Srivastava, V.; Bond, M.D.; McKinley, K.S.; Shmatikov, V.. "A Security Policy Oracle: Detecting Security Holes Using Multiple API Implementations.". in 32nd ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI 11).. (1. 2011).. Srivastava, V.; Bond, M.D.; McKinley, K.S.; Shmatikov, V.. "A security policy oracle: Detecting security holes using multiple API implementations.". (7. 2011).. Xu, G.; Bond, M.D.; Qin, F.; Rountev, A.. "LeakChaser: Helping programmers narrow down causes of memory leaks.". (7. 2011).. Xu, G.; Bond, M.D.; Qin, F.; Rountev, A. et al.. "LeakChaser: Helping Programmers Narrow Down Causes of Memory Leaks.". (1. 2011).. Srivastava, V.; Bond, M.D.; McKinley, K.S.; Shmatikov, V. et al.. "A Security Policy Oracle: Detecting Security Holes Using Multiple API Implementations.". (1. 2011).. Guoqing Xu, Michael D. Bond, Feng Qin, Atanas Rountev. "LeakChaser: Helping Programmers Narrow Down Causes of Memory Leaks.". in ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI).. (6. 2011).. Varun Srivastava, Michael D. Bond, Kathryn S. McKinley, Vitaly Shmatikov. "A Security Policy Oracle: Detecting Security Holes using Multiple API Implementations.". in ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI).. (6. 2011).. 2010. Michael D. Bond, Graham Z. Baker, Samuel Z. Guyer. "Breadcrumbs: Efficient Context Sensitivity for Dynamic Bug Detection Analyses.". in ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI).. (6. 2010).. Bond, M.D.; Coons, K.E.; McKinley, K.S.. "PACER: Proportional Detection of Data Races.". in ACM SIGPLAN Conference on Programming Language Design and Implementation.. (6. 2010).. Michael D. Bond, Katherine E. Coons, Kathryn S. McKinley. "Pacer: Proportional Detection of Data Races.". in ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI).. (6. 2010).. Bond, M.D.; Baker, G.Z.; Guyer, S.Z.. "Breadcrumbs: Efficient Context Sensitivity for Dynamic Bug Detection Analyses.". in ACM SIGPLAN Conference on Programming Language Design and Implementation.. (6. 2010).. Bond, M.D.; Coons, K.E.; McKinley, K.S.. "PACER: Proportional detection of data races.". (6. 2010).. Bond, M.D.; Coons, K.E.; McKinley, K.S.. "PACER: Proportional Detection of Data Races.". (6. 2010).. Bond, M.D.; Baker, G.Z.; Guyer, S.Z.. "Breadcrumbs: Efficient Context Sensitivity for Dynamic Bug Detection Analyses.". (6. 2010).. Bond, M.D.; Srivastava, V.; McKinley, K.S.; Shmatikov, V.. "Efficient, context-sensitive detection of real-world semantic attacks.". (7. 2010).. Bond, M.D.; Baker, G.Z.; Guyer, S.Z.. "Breadcrumbs: Efficient context sensitivity for dynamic bug detection analyses.". (6. 2010).. Michael D. Bond, Varun Srivastava, Kathryn S. McKinley, Vitaly Shmatikov. "Efficient, Context-Sensitive Detection of Real-World Semantic Attacks.". in ACM SIGPLAN Workshop on Programming Languages and Analysis for Security (PLAS).. (6. 2010).. 2009. Roy, I.; Porter, D.E.; Bond, M.D.; McKinley, K.S. et al.. "Laminar: Practical Fine-Grained Decentralized Information Flow Control.". (1. 2009).. Michael D. Bond, Kathryn S. McKinley. "Leak Pruning.". in ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS).. (3. 2009).. Roy, I.; Porter, D.E.; Bond, M.D.; McKinley, K.S. et al.. "Laminar: Practical fine-grained decentralized information flow control.". (6. 2009).. Bond, M.D.; McKinley, K.S.. "Leak Pruning.". (3. 2009).. Roy, I.; Porter, D.E.; Bond, M.D.; McKinley, K.S. et al.. "Laminar: Practical fine-grained decentralized information flow control.". (11. 2009).. Indrajit Roy, Donald E. Porter, Michael D. Bond, Kathryn S. McKinley, Emmett Witchel. "Laminar: Practical Fine-Grained Decentralized Information Flow Control.". in ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI).. (6. 2009).. Roy, I.; Porter, D.E.; Bond, M.D.; McKinley, K.S. et al.. "Laminar: Practical Fine-Grained Decentralized Information Flow Control.". in ACM SIGPLAN Conference on Programming Language Design and Implementation.. (1. 2009).. 2008. Michael D. Bond, Kathryn S. McKinley. "Tolerating Memory Leaks.". in ACM SIGPLAN International Conference on Object-Oriented Programming, Systems, Languages, and Applications (OOPSLA).. (10. 2008).. Bond, M.D.; McKinley, K.S.. "Tolerating Memory Leaks.". (9. 2008).. Bond, M.D.; McKinley, K.S.. "Tolerating Memory Leaks.". (9. 2008).. 2007. Michael D. Bond, Nicholas Nethercote, Stephen W. Kent, Samuel Z. Guyer, Kathryn S. McKinley. "Tracking Bad Apples: Reporting the Origin of Null and Undefined Value Errors.". in ACM SIGPLAN International Conference on Object-Oriented Programming, Systems, Languages, and Applications (OOPSLA).. (10. 2007).. Bond, M.D.; Nethercote, N.; Kent, S.W.; Guyer, S.Z. et al.. "Tracking bad apples: Reporting the origin of null and undefined value errors.". (10. 2007).. Lee, B.; Resnick, K.; Bond, M.D.; McKinley, K.S.. "Correcting the dynamic call graph using control-flow constraints.". (1. 2007).. Bond, M.D.; McKinley, K.S.; ACM,. "Probabilistic Calling Context.". (1. 2007).. Michael D. Bond, Kathryn S. McKinley. "Probabilistic Calling Context.". in ACM SIGPLAN International Conference on Object-Oriented Programming, Systems, Languages, and Applications (OOPSLA).. (10. 2007).. Lee, B.; Resnick, K.; Bond, M.D.; McKinley, K.S.. "Correcting the dynamic call graph using control-flow constraints.". (12. 2007).. Lee, B.; Resnick, K.; Bond, M.D.; McKinley, K.S.. "Correcting the dynamic call graph using control-flow constraints.". in 16th International Conference on Compiler Construction.. (1. 2007).. Bond, M.D.; Nethercote, N.; Kent, S.W.; Guyer, S.Z. et al.. "Tracking bad apples: Reporting the origin of null and undefined value errors.". (10. 2007).. Bond, M.D.; McKinley, K.S.. "Probabilistic calling context.". (12. 2007).. Byeongcheol Lee, Kevin Resnick, Michael D. Bond, Kathryn S. McKinley. "Correcting the Dynamic Call Graph Using Control Flow Constraints.". in International Conference on Compiler Construction (CC).. (3. 2007).. Bond, M.D.; McKinley, K.S.. "Probabilistic Calling Context.". in 22nd International Conference on Object-Oriented Programming, Systems, Languages and Applications.. (1. 2007).. Bond, M.D.; Nethercote, N.; Kent, S.W.; Guyer, S.Z. et al.. "Tracking bad apples: Reporting the origin of null and undefined value errors.". in 22nd International Conference on Object-Oriented Programming, Systems, Languages and Applications.. (10. 2007).. 2006. Bond, M.D.; McKinley, K.S.. "Bell: Bit-encoding online memory leak detection.". (11. 2006).. Bond, M.D.; McKinley, K.S.. "Bell: Bit-encoding online memory leak detection.". (11. 2006).. Michael D. Bond, Kathryn S. McKinley. "Bell: Bit-Encoding Online Memory Leak Detection.". in ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS).. (10. 2006).. Bond, M.D.; McKinley, K.S.. "Bell: Bit-encoding online memory leak detection.". in 12th International Conference on Architectural Support for Programming Languages and Operating Systems.. (11. 2006).. 2005. Michael D. Bond, Kathryn S. McKinley. "Practical Path Profiling for Dynamic Optimizers.". in IEEE/ACM International Symposium on Code Generation and Optimization (CGO).. (3. 2005).. Bond, M.D.; McKinley, K.S.; SOC, I.C.. "Practical path profiling for dynamic optimizers.". (1. 2005).. Bond, M.D.; McKinley, K.S.. "Practical path profiling for dynamic optimizers.". in 3rd International Symposium on Code Generation and Optimization.. (1. 2005).. Bond, M.D.; McKinley, K.S.. "Continuous path and edge profiling.". in 38th Annual IEEE/ACM International Symposium on Microarchitecture.. (1. 2005).. Bond, M.D.; McKinley, K.S.; Society, I.E.E.E.C.. "Continuous path and edge profiling.". (1. 2005).. Bond, M.D.; McKinley, K.S.. "Continuous path and edge profiling.". (12. 2005).. Bond, M.D.; McKinley, K.S.. "Practical path profiling for dynamic optimizers.". (12. 2005).. Michael D. Bond, Kathryn S. McKinley. "Continuous Path and Edge Profiling.". in IEEE/ACM International Symposium on Microarchitecture (MICRO).. (11. 2005).. 2004. Joshi, R.; Bond, M.D.; Zilles, C.. "Targeted path profiling: Lower overhead path profiling for staged dynamic optimization systems.". in 2nd International Symposium on Code Generation and Optimization.. (1. 2004).. Joshi, R.; Bond, M.D.; Zilles, C.. "Targeted path profiling: Lower overhead path profiling for staged dynamic optimization systems.". (1. 2004).. Joshi, R.; Bond, M.D.; Zilles, C.. "Targeted path profiling: Lower overhead path profiling for staged dynamic optimization systems.". (7. 2004).. Rahul Joshi, Michael D. Bond, Craig Zilles. "Targeted Path Profiling: Lower Overhead Path Profiling for Staged Dynamic Optimization Systems.". in IEEE/ACM International Symposium on Code Generation and Optimization (CGO).. (3. 2004).. Department ofComputer Science and Engineering395 Dreese Laboratories2015 Neil AvenueColumbus, OH 43210-1277(614) 292-5813 Phone(614) 292-2911 Fax. Support CSE. Invest in a Buckeye. Your gift will make a difference.. Connect. facebookyoutube. 2019 The Ohio State UniversityAccessibilityPrivacy PolicyHelpLogin. diff --git a/src/data/compiled_bios/405.txt b/src/data/compiled_bios/405.txt new file mode 100644 index 0000000000..06537a8b2d --- /dev/null +++ b/src/data/compiled_bios/405.txt @@ -0,0 +1 @@ +Name: Veerasamy, Jeyakesavan:: Position: Senior Lecturer:: Degrees: Ph.D., The University of Texas at Dallas; diff --git a/src/data/compiled_bios/4050.txt b/src/data/compiled_bios/4050.txt new file mode 100644 index 0000000000..9846c810a5 --- /dev/null +++ b/src/data/compiled_bios/4050.txt @@ -0,0 +1 @@ +Wei-Lun (Harry) Chao. Assistant Professor. weilunchao760414@gmail.com. http://www-scf.usc.edu/~weilunc/. AboutProfessor Chao will be joing the CSE department in the Fall of 2019 as an Assistant Professor.. Department ofComputer Science and Engineering395 Dreese Laboratories2015 Neil AvenueColumbus, OH 43210-1277(614) 292-5813 Phone(614) 292-2911 Fax. Support CSE. Invest in a Buckeye. Your gift will make a difference.. Connect. facebookyoutube. 2019 The Ohio State UniversityAccessibilityPrivacy PolicyHelpLogin. diff --git a/src/data/compiled_bios/4051.txt b/src/data/compiled_bios/4051.txt new file mode 100644 index 0000000000..ca0862f014 --- /dev/null +++ b/src/data/compiled_bios/4051.txt @@ -0,0 +1 @@ +Jian Chen. Associate Professor, Computer Science & Engineering. 783 Dreese Laboratories. 2015 Neil Ave. Columbus,. OH. 43210. chen.8028@osu.edu. http://www.cse.osu.edu/~chen.8028. About. Honors. January, 2016. Hrabowski Fund for Innovation (UMBC Innovation Fellow).. June, 2015. UMBC Provost Teacher Scholar.. October, 2013. Best paper honorable mention.. May, 2009. Best poster award.. October, 2007. Best poster runner up.. July, 2003. Best paper award.. Chapters2018. Marriott, K.; Chen, J.; Hlawatsch, M.; Itoh, T. et al... 2018.. "Time to Reconsider the Value of 3D for Information Visualization.". In Immersive Analytics,. edited by Marriott, K.,. Buschel, W.; Chen, J.; Dachselt, R.; Drucker, S. et al... 2018.. "Interaction for Immersive Analytics.". In Immersive Analytics,. edited by Marriott, K.,. 2018.. "Just 5 questions: toward a design framework for immersive analytics.". In Immersive Analytics,. 2011. Chen, J... 2011.. "A hybrid direct visual editing method for architectural massing study in virtual environments.". In Collaborative Design in Virtual Environments,. Journal Articles2017. Isenberg, P.; Heimerl, F.; Koch, S.; Isenberg, T. et al.,. 2017,. "vispubdata.org: A metadata collection about IEEE Visualization (VIS) publications.". IEEE Transactions on Visualization and Computer Graphics. 23,. no. 9,. 2199-2206 -. 2199-2206.. Sun, L.; Zhu, Y.; Tudor, C.O.; Mahmood, A. et al.,. 2017,. "WebGIVI: A Web-Based Gene Enrichment Analysis and Visualization Tool.". BMC Bioinformatics. 18,. 1-10 -. 1-10.. Zhang, G.; Kochunov, P.; Hong, E.; Kelly, S. et al.,. 2017,. "ENIGMA-Viewer: interactive visualization strategies for conveying effect sizes in meta-analysis.". BMC bioinformatics. 18,. no. 235,. 253-253 -. 253-253.. 2016. Zhang, G.; Kochunov, P.; Elliot, H.; Carr, H. et al.,. 2016,. "Towards Visual Mega- and Meta-Analysis of Voxel-based Measurement in Brain Cohorts.". EuroVis (Short paper). Ragan, E.; Endert, A.; Chen, J.; Sanyal, J.,. 2016,. "Characterizing Provenance in Visual Analytics: An Organizational Framework of Provenance Types and Purposes.". IEEE Transactions on Visualization and Computer Graphics. 22,. no. 1,. 31-40 -. 31-40.. Kochunov, P.; Ganjgahi, H.; Winkler, A.; Kelly, S. et al.,. 2016,. "Heterochronicity of white matter development and aging explains regional patient control differences in schizophrenia.". Human Brain Mapping. 37,. no. 12,. 4673-4688 -. 4673-4688.. Wu, K.; Sun, L.; Schmidt, C.; Chen, J.,. 2016,. "Graph query algebra and visual proximity rules for biological pathway exploration.". Information Visualization. 16,. no. 3,. 217-231 -. 217-231.. 2015. Zhu, Y.; Sun, L.; Garbarino, A.; Schmidt, C. et al.,. 2015,. "PathRings: a web-based tool for exploration of ortholog and expression data in biological pathways.". BMC Bioinformatics. 16,. no. 165,. 165-165 -. 165-165.. 2014. Ling, M.; Chen, J.,. 2014,. "Environmental visualization: applications to site characterization, remedial programs, and litigation support.". Environmental Earth Sciences. 72,. 3839-3846 -. 3839-3846.. Hu, G.; Pan, Z.; Zhang, M.; Chen, D. et al.,. 2014,. "An interactive method for generating harmonious color schemes.". Color Research & Application. 39,. 70-78 -. 70-78.. 2013. Wu, Y.; Zhu, X.; Chen, J.; Zhang, X.,. 2013,. "EINVis: a visualization tool for analyzing and exploring genetic interactions in large-scale association studies.". Genetic Epidemiology. 37,. 675-685 -. 675-685.. Isenberg, T.; Isenberg, P.; Chen, J.; Sedlmair, M. et al.,. 2013,. "A systematic review on the practice of evaluating visualization.". IEEE Transactions on Visualization and Computer Graphics. 19,. 2818-2827 -. 2818-2827.. 2009. Forsberg, A.; Chen, J.; Laidlaw, D.,. 2009,. "Comparing 3D vector field visualization methods: A user study.". IEEE Transactions on Visualization and Computer Graphics. 15,. no. 6,. 1219-1219 -. 1219-1219.. Chen, J.; Bowman, D.A.,. 2009,. "Domain-specific design of 3D interaction techniques: An approach for designing useful virtual environment applications.". Presence: Teleoperators and Virtual Environments. 18,. no. 5,. 370-386 -. 370-386.. 2008. Riskin, D.K.; Willis, D.J.; Iriarte-Daz, J.; Hedrick, T.L. et al.,. 2008,. "Quantifying the complexity of bat wing kinematics.". Journal of Theoretical Biology. 254,. 604-615 -. 604-615.. 2006. Bowman, D.A.; Chen, J.; Wingrave, C.A.; Lucas, J.F. et al.,. 2006,. "New directions in 3D user interfaces..". International Journal of Virtual Reality. 5,. 3-14 -. 3-14.. 1998. Sun, L.; Gao, T.; Liang, Y.; Chen, J.,. 1998,. "Study on the method of constructing rational cubic curves and curved surface including controlling parameters.". Transactions of Tianjin University. 4,. 29-34 -. 29-34.. Chen, J.; Sun, L.; Lu, D.,. 1998,. "Study on the method of constructing rational cubic curves and curved surface including controlling parameters.". Journal of Tianjin Institute of Textile Science and Technology. 17,. 91-96 -. 91-96.. Sun, L.; Xu, J.; Zhou, L.; Chen, J.,. 1998,. "A design method of variables for parameterization drafting based on shape features.". Journal of Tianjin Institute of Textile Science and Technology. 17,. 32-36 -. 32-36.. Unknown. Ganesan, A.; Brantley, K.; Pan, S.; Chen, J.,. "LDAExplore: Visualizing Topic Models Generated Using Latent Dirichlet. Allocation.". IEEE 4th Workshop on Visual Text Analytics, ACM Intelligent User Interface (IUI. Zhang, G.; Auchus, A.P.; Kochunov, P.; Elmqvist, N. et al.,. "Overlaying Quantitative Measurement on Networks: An Evaluation of Three. Positioning and Nine Visual Marker Techniques.". Zhao, H.; Chen, J.,. "Bivariate Separable-Dimension Glyphs can Improve Visual Analysis of. Holistic Features.". Whelan, C.; Jahanshad, N.; Hibar, D.; Absil, J. et al.,. "Structural brain abnormalities in the common epilepsies assessed in a worldwide ENIGMA study.". Brain. 141,. no. 2,. 391-408 -. 391-408.. Papers in Proceedings2017. Dabek, F.; Chen, J.; Caban, J.J.. TrajectoryFlow: Visual Summarization of Temporal Sequences.. http://ieeevis.org/year/2017/info/posters,. (1. 2017).. 2016. Chen, J.. "A Semiotics Approach to Characterize Diffusion Tensor Imaging Visualization.". in IEEE VIS (poster).. (1. 2016).. Zhao, H.; Chen, J.. "Empirical Guidance on Integral and Separable Marker Substrate for Large-Magnitude-Range Vector Field Visualization.". in IEEE VIS (poster).. (1. 2016).. Bian, X.; Liu, L.; Caban, J.J.; He, G. et al.. "Towards A Task Taxonomy for Analyzing Electronic Health Record Cohorts from Mild-Traumatic Brain Injuries.". (1. 2016).. Garbarino, A.; Sun, L.; Garbarino, Z.; Schmidt, C. et al.. VisGumbo, visMirror, visCut: interactive narrative strategies for large biological pathway comparisons.. in IEEE VIS workshop on Exploring Graphs at Scale (EGAS).. http://vacommunity.org/egas2015/papers/IEEEEGAS2015-AlexanderGarbarino.pdf,. (1. 2016).. Elshehaly, M.; Szeto, G.; Pan, Z.; Chen, J.. "ImmunoExplorer: A Web-Based Multivariate Visualization System for Exploratory Analysis of Immunotherapy.". (1. 2016).. Zhang, G.; Kochunov, P.; Hong, E.; Jahanshad, N. et al.. ENIGMA-Viewer: Interactive Visualization Strategies for Conveying Effect Sizes in Meta-Analysis.. http://enigma-viewer.org/,. (1. 2016).. 2015. Dabek, F.; Chen, J.; Garbarino, A.; Caban, J.J.. "Visualization of longitudinal clinical trajectories using a graph-based approach.". (1. 2015).. Chung, H.; North, C.; Chen, J.. "Four considerations for supporting visual analysis in display ecologies.". in IEEE VIS (VAST).. (1. 2015).. Zhang, G.; Kochunov, P.; Hong, E.; Wu, K. et al.. "A Semantic Contour Tree Approach for Visual Comparison of White Matter Connectivity in Cohorts.". (1. 2015).. Chen, J.; Griffin, W.; Zhao, H.; Terrill, J.E. et al.. "Validation of SplitVector encoding and stereoscopy for quantitative visualization of quantum physics data in virtual environments.". (1. 2015).. Wu, K.; Sun, L.; Schmidt, C.; Chen, J.. "A Graph Query Algebra on Biological Pathways.". in IEEE VIS workshop on Exploring Graphs at Scale (EGAS).. (1. 2015).. 2014. Isenberg, P.; Isenberg, T.; Sedlmair, M.; Chen, J. et al.. "Visualization According To Research Paper Keywords.". (1. 2014).. 2013. Chen, J.. "Some thoughts on augmenting human-VE symbiosis to improve knowledge discovery from volume rendering.". in IEEE Virtual Reality Workshop on Immersive Volume Rendering, IEEE VR.. (1. 2013).. Zhang, Y.; Olano, M.; Dandois, J.P.; Chen, J.. "Rendering Point Clouds with Feature Texture.". (1. 2013).. Chen, J.; Wu, K.; Pruett, W.A.; Hester, R.L.. "HumMod browser: An exploratory visualization tool for model validation of whole-body physiology simulation.". in Eurographics Conference on Visualization (EuroVis).. (1. 2013).. Wu, K.; Chen, J.; Pruett, W.A.; Hester, R.L.. "Hummod browser: An exploratory visualization tool for the analysis of whole-body physiology simulation data.". (1. 2013).. 2012. Mohammadi, N.; Wang, J.; Cao, Y.; Setareh, M.. "SMATS: Sketch-Based Modeling and Analysis of Truss Systems.". in Eurographics Symposium on Sketch-based Interfaces and Modeling (SBIM).. (1. 2012).. Chen, J.; Maxwell, A.; Cai, H.; Auchus, A.. "Interactive visual analysis of diffusion-tensor MRI data using the expectation maximization algorithm.". in American Academy of Neurology Annual Meeting (AAN).. (1. 2012).. Cai, H.; Chen, J.; Auchus, A.P.; Correia, S. et al.. "InShape: in-situ shape-based interactive multiple-view exploration of diffusion MRI visualizations.". in Lecture Notes in Computer Science (also in International Symposium on Visual Computing).. (1. 2012).. Chen, J.; Cai, H.; Laidlaw, D.; Auchus, A.. "The effects of seeding resolution on diffusion tensor imaging streamtube visualization comprehension.". in Alzheimers Association International Conference (AAIC).. (1. 2012).. Chen, J.; Cai, H.; Auchus, A.P.; Laidlaw, D.H.. "Effects of stereo and screen size on the legibility of three-dimensional streamtube visualization.". (1. 2012).. Penney, D.; Chen, J.; Laidlaw, D.H.. "Effects of illumination, texture, and motion on task performance in 3D tensor-field streamtube visualizations.". (1. 2012).. 2011. Auchus, A.P.; Huang, J.; Chen, J.; Cai, H. et al.. "Diffusion Tensor MRI Tractography (DTT) Identifies Altered Brain Stem Fiber Connections Accompanying Agenesis of the Corpus Callosum (ACC).". in The 20th World Congress of Neurology.. (1. 2011).. Chen, J.; Bowman, D.A.; Laidlaw, D.H.. "A hybrid direct visual editing method for architectural massing study in virtual environments.". in IEEE Symposium on 3D User Interfaces.. (1. 2011).. Liu, H.; Bradgon, A.; Bergou, A.; Chen, J.. "Programming by sketch for scientific computing.". (1. 2011).. Huang, J.; Chen, J.; Cai, H.; Friedland, R.P. et al.. "Diffusion Tensor MRI Tractography Reveals Altered Brainstem Fiber Connections Accompanying Agenesis of the Corpus Callosum.". in American Neurological Associations (ANA) 136th Annual Meeting (oral presentation).. (1. 2011).. Cai, H.; Chen, J.; Auchus, A.P.; Huang, J. et al.. "Measuring seeding resolution dependence of diffusion tensor streamtube visualization.". in IEEE Visualization.. (1. 2011).. Cai, H.; Chen, J.; Auchus, A.P.; Correia, S. et al.. "InBox: In-situ multiple-selection and multiple-view exploration of diffusion tensor MRI visualization.". in IEEE BioVis Conference.. (1. 2011).. Xu, L.; Lyle, J.; Wu, Y.; Pan, Z. et al.. "HumMod explorer: a multi-scale time-varying human modeling navigator.". in ACM SIGGRAPH Asia.. (1. 2011).. Li, G.; Bragdon, A.C.; Pan, Z.; Zhang, M. et al.. "VisBubbles: a workflow-driven framework for scientific data analysis of time-varying biological datasets.". (1. 2011).. 2010. Chen, J.; Riskin, D.K.; Hubel, T.Y.; Willis, D. et al.. "Exploration of bat wing morphology through a strip method and visualization.". (1. 2010).. Bacim, F.; Polys, N.; Chen, J.; Setareh, M. et al.. "Cognitive scaffolding in Web3D learning systems: a case study for form and structure.". (1. 2010).. 2009. Chen, J.; Kostandov, M.; Pivkin, I.V.; Riskin, D.K. et al.. "Visual Analysis of Dimensionality Reduction in an Interactive Virtual Environment for Exploring Bat Flight Kinematics.". in Proceedings of the Joint Virtual Reality Conference of EGVE-ICAT-EuroVR.. (1. 2009).. Chen, J.; Riskin, D.K.; Breuer, K.S.; Swartz, S.M. et al.. "Bookstein coordinate-based shape analysis of bat wing kinematics.". (1. 2009).. Chen, J.; Riskin, D.K.; Hubel, T.Y.; Willis, D. et al.. "A Head-to-Head Comparison of Navigation Techniques for Exploring 3D Geoscience Data Sets.". (1. 2009).. 2008. Forsberg, A.S.; Chen, J.; Laidlaw, D.H.. "Towards Comparing 3D Flow Visualization Methods, A User Study.". (1. 2008).. Kostandov, M.; Chen, J.; Pivkin, I.V.; Swartz, S.M. et al.. "Exploring dimensionality reduction of animal flight kinematics in an interactive virtual reality setting.". (1. 2008).. 2007. Acevedo, D.; Chen, J.; Laidlaw, D.H.. "Modeling perceptual dominance among visual cues in multilayered icon-based scientific visualizations.". in IEEE Visualization.. (1. 2007).. Chen, J.; Forsberg, A.S.; Swartz, S.M.; Laidlaw, D.H.. "Interactive multiple scale small multiples.". (1. 2007).. Chen, J.; Forsberg, A.; Kostandov, M.; Willis, D. et al.. "The effect of using large, high-resolution stereoscopic displays for flow visualization.". (1. 2007).. 2006. Ni, T.; Bowman, D.A.; Chen, J.. "Increased display size and resolution improve task performance in information-rich virtual environments.". (1. 2006).. Chen, J.; Bowman, D.A.. "Effectiveness of cloning techniques for architectural virtual environments.". (1. 2006).. 2005. Chen, J.; Narayan, M.A.; Manuel, P-Q.N.. "The use of hand-held devices for search tasks in virtual environments.". in Proceedings of the Workshop on New Directions in Three-Dimensional User Interfaces (3DUI).. (1. 2005).. Lucas, J.F.; Bowman, D.A.; Chen, J.; Wingrave, C.A.. "Design and evaluation of 3D multiple object selection techniques.". in Proceedings of the ACM Interactive 3D graphics (I3D).. (1. 2005).. 2004. Chen, J.; Bowman, D.A.; Lucas, J.F.; Wingrave, C.A.. "Interfaces for cloning in immersive virtual environments.". in Proceedings of the Eurographics Symposium on Virtual Environments (EuroVR).. (1. 2004).. Chen, J.; Pyla, P.S.; Bowman, D.A.. "Testbed evaluation of navigation and text display techniques in an information-rich virtual environment.". (1. 2004).. 2003. Ryu, Y.S.; Yost, B.; Convertino, G.; Chen, J. et al.. "Exploring cognitive strategies for integrating multiple-view visualizations.". (1. 2003).. Bowman, D.A.; North, C.; Chen, J.; Polys, N.F. et al.. "Information-rich virtual environment: theory, tools, and research agenda.". (1. 2003).. Chen, J.. "Effective interaction techniques in information-rich virtual environments.". (1. 2003).. Convertino, G.; Chen, J.; Yost, B.; Ryu, Y-S. et al.. "Exploring context switching and cognition in dual-view coordinated visualizations.". (1. 2003).. 2002. Chen, J.; Harm, D.L.; Loftin, R.B.; Lin, C-Y. et al.. "A virtual environment system for the comparison of DOME and HMD systems.". in Proceedings of the International Conference on Computer Graphics and Spatial Information System (CG&SIS).. (1. 2002).. Lin, C-Y.; Chen, D.T.; Loftin, R.B.; Chen, J. et al.. "Interacting with Visible Human data using an ImmersaDesk.". (1. 2002).. 2001. Chen, J.; Fang, Y-C.; Loftin, R.B.; Leiss, E.L. et al.. "An immersive virtual environment training system on real-time motion platform.". in Proceedings of the Computer Aided Design and Computer Graphics (CAD&CG).. (1. 2001).. Department ofComputer Science and Engineering395 Dreese Laboratories2015 Neil AvenueColumbus, OH 43210-1277(614) 292-5813 Phone(614) 292-2911 Fax. Support CSE. Invest in a Buckeye. Your gift will make a difference.. Connect. facebookyoutube. 2019 The Ohio State UniversityAccessibilityPrivacy PolicyHelpLogin. diff --git a/src/data/compiled_bios/4052.txt b/src/data/compiled_bios/4052.txt new file mode 100644 index 0000000000..b093ddaadd --- /dev/null +++ b/src/data/compiled_bios/4052.txt @@ -0,0 +1 @@ +Bryan Choi. Assistant Professor, Law College Administration. Assistant Professor, Computer Science & Engineering. 55 W 12th Ave RM 210. (281 Dreese Labs). Columbus,. OH. 43210. 614-292-5885. choi.1399@osu.edu. Department ofComputer Science and Engineering395 Dreese Laboratories2015 Neil AvenueColumbus, OH 43210-1277(614) 292-5813 Phone(614) 292-2911 Fax. Support CSE. Invest in a Buckeye. Your gift will make a difference.. Connect. facebookyoutube. 2019 The Ohio State UniversityAccessibilityPrivacy PolicyHelpLogin. diff --git a/src/data/compiled_bios/4053.txt b/src/data/compiled_bios/4053.txt new file mode 100644 index 0000000000..60aa2d0dd8 --- /dev/null +++ b/src/data/compiled_bios/4053.txt @@ -0,0 +1 @@ +Roger Crawfis. Associate Professor, Computer Science & Engineering. 683 Dreese Laboratories. 2015 Neil Ave. Columbus,. OH. 43210. please email. crawfis.3@osu.edu. http://web.cse.ohio-state.edu/~crawfis/. Honors. May, 2013. Best Paper Award.. DeVry Institute of Technology.. January, 2012. Best paper award for Effective Texture Models for Three Dimensional Flow Visualization.. January, 2004. Best paper award for Volume Interval Segmentation and Rendering.. January, 2003. Best panel award for the panel Do I Really See a Bone?.. January, 2000. Lumley Award for outstanding research and teaching.. January, 1999. Annual Research Accomplishment Award.. January, 1999. Best Hot Topics Paper.. January, 1999. NSF CAREER Awards.. June, 1998. Naval Notable Achievement Award for Splatting Errors and Anti-Aliasing.. January, 1997. Best paper award for An Anti-Aliasing Technique for Splatting.. January, 1997. Best panel award for Terascale Visualization: Approaches, Pitfalls, and Issues.. January, 1993. Best paper award for Texture Splats for 3D Vector and Scalar Field Visualization.. January, 1992. Grand Prix in the category of Scientific Visualization for the video Global Climate Visualization.. Books2011. Ramnath, Rajiv, Roger Crawfis and Paolo Sivilotti.. 2011.. Android 3 SDK Programming for Dummies.. John Wiley and Sons.. 2002. Crawfis, Roger, Johnson, Chris, Mueller, K., IEEE Computer Society. Technical Committee--Computer Graphics.,, SIGGRAPH.,.. 2002.. "IEEE/ACM SIGGRAPH Symposium on Volume Visualization and Graphics 2002 : Boston, Massachusetts, October 28-29, 2002.". IEEE.. 1996. Crawfis, Roger, Hansen, Charles, SIGGRAPH.,, IEEE Computer Society. Technical Committee--Computer Graphics.,.. 1996.. "Proceedings, 1996 Symposium on Volume Visualization : San Francisco, California, October 28-29, 1996 ; symposium co-chairs, Roger Crawfis, Charles Hansen.". Association for Computing Machinery.. Crawfis, Roger, Hansen, Charles, SIGGRAPH.,, IEEE Computer Society. Technical Committee--Computer Graphics.,.. 1996.. Proceedings, 1996 Symposium on Volume Visualization San Francisco, California, October 28-29, 1996 ; symposium co-chairs, Roger Crawfis, Charles Hansen.. Association for Computing Machinery.. Chapters2014. 2014.. "Adaptively Represented Complete Distance Fields.". In Geometric Modelling for Scientific Visualization,. edited by Guido Brunnet, Bernd Hamann, Heinrich Mueller,. 2006. 2006.. "A Practical System for Constrained Interactive Walkthroughs of Arbitrarily Complex Scenes.". In Scientific visualization: the visual extraction of knowledge from data,. 2004. 2004.. "Volume Rendering Using Splatting.". In Visualization Handbook,. edited by Charles D. Hansen, Christopher R. Johnson,. 2003. 2003.. "High-Quality Splatting and Volume Synthesis.". In Data Visualization: The State of the Art,. edited by Frits H. Post, Gregory M. Nielson, Georges-Pierre Bonneau,. 1999. 1999.. "Applications of Texture Mapping to Volume and Flow Visualization.". In Data Visualization,. edited by C. Bajaj,. 1999.. "Vector Field Visualization Techniques.". In Data Visualization,. edited by C. Bajaj,. 1993. 1993.. "Multiple visualization techniques allow correlation of three scalar fields, one vector field and mesh topology.". In Visual Cues,. edited by Peter Keller and Mary Keller,. 1993.. "Color and textures correlate variables.". In Visual Cues,. edited by Peter Keller and Mary Keller,. 1993.. "Depth cues and position correlate 3-D to 2-D.". In Visual Cues,. edited by Peter Keller and Mary Keller,. Journal Articles2014. Mishchenko,O; Crawfis,R,. 2014,. "On Perception of Semi-Transparent Streamlines for Three-Dimensional Flow Visualization.". COMPUTER GRAPHICS FORUM. 33,. no. 1,. 210-221 -. 210-221.. 2004. Bhaniramka,P; Wenger,R; Crawfis,R,. 2004,. "Isosurface construction in any dimension using convex hulls.". IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS. 10,. no. 2,. 130-141 -. 130-141.. 2003. Caixia Zhang and Roger Crawfis,. 2003,. "Shadows and Soft Shadows with Participating Media Using Splatting.". IEEE Transactions on Visualization and Computer Graphics. 9,. no. 2,. 139-149 -. 139-149.. 2000. Stredney,D; Agrawal,A; Barber,D; Crawfis,R; Feng,W,C; Hou,J; Panda,D,K; Sadayappan,P; Powell,K; Schmalbrock,P; Sessanna,D; Wiet,G,J; Shareef,N; Bryan,J,. 2000,. "Interactive medical data on demand: a high-performance imaged-based approach across heterogeneous environments..". Studies in health technology and informatics. 70,. 327-333 -. 327-333.. 1999. Mueller,K; Shareef,N; Huang,J; Crawfis,R,. 1999,. "High-quality splatting on rectilinear grids with efficient culling of occluded voxels.". IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS. 5,. no. 2,. 116-134 -. 116-134.. 1998. Rudman,D,T; Stredney,D; Sessanna,D; Yagel,R; Crawfis,R; Heskamp,D; Edmond,C,V; Wiet,G,J,. 1998,. "Functional endoscopic sinus surgery training simulator.". LARYNGOSCOPE. 108,. no. 11,. 1643-1647 -. 1643-1647.. Mueller,K; Moller,T; Swan,J,E; Crawfis,R; Shareef,N; Yagel,R,. 1998,. "Splatting errors and antialiasing.". IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS. 4,. no. 2,. 178-191 -. 178-191.. 1994. Crawfis,R; Max,N; Becker,B,. 1994,. "VECTOR FIELD VISUALIZATION.". IEEE COMPUTER GRAPHICS AND APPLICATIONS. 14,. no. 5,. 50-56 -. 50-56.. 1993. Max,N; Crawfis,R; Williams,D,. 1993,. "VISUALIZATION FOR CLIMATE MODELING.". IEEE COMPUTER GRAPHICS AND APPLICATIONS. 13,. no. 4,. 34-40 -. 34-40.. Daqing Xue and Roger Crawfis,. 1993,. "A Modern Implementation of Textured Splats.". Journal of Graphics Tools, ACM Press. 8,. no. 3,. 1-21 -. 1-21.. 1990. Max, Nelson, Pat Hanrahan and Roger Crawfis,. 1990,. "Area and Volume Coherence for Efficient Visualization of 3D Scalar Functions.". Computer Graphics. 24,. no. 5,. 27-33 -. 27-33.. Presentations. "Volume Synthesis using Splatting.". 2000,. Presented at 2000 Dagstuhl Workshop on Visualization,. "Bone Hunting (active tense).". 2003,. Presented at IEEE Visualization 2003 conference,. "A Panoramic Walk-through System with Occlusion Culling.". 2003,. Presented at Ninth Eurographics Workshop on Virtual Environments,. "Rail-track Viewer, An Image-Based Virtual Walkthrough System.". 2003,. Presented at Rail-track Viewer, An Image-Based Virtual Walkthrough System,. "Hardware Accelerated Volume Rendering: splatting on modern graphics hardware.". 2003,. Presented at US Army workshop on Visualization,. "Volumetric Shadows and Soft Shadows.". 2004,. Presented at Ohio Supercomputer Center,. "Construction and Rendering of Implicit Flow Fields.". 2004,. Presented at Ohio Supercomputer Center,. "Optimal Cover Placement Against Static Enemy Positions.". 2013,. Presented at Foundations of Digital Games,. "Delivery of Constraint-Induced Movement therapy through a video game for individuals with hemiparesis post-stroke.". 2013,. Presented at Ohio State Biomedical Engineering Conference,. "Towards Effective Visualizations and Fun Procedural Content.". 2013,. Presented at 9th Annual International Conference on Information Technology & Computer Science,. "Railtrack Viewer An Image-Based Virtual Walkthrough System.". 2002,. Presented at Eighth Eurographics Workshop on Virtual Environments,. "Efficient Data Redistribution With Occlusion Acceleration For Parallel Image-Aligned Sheet-Based Splatting.". 2014,. Presented at Eurographics Workshop on Parallel Graphics and Visualization,. "Development of Recovery Rapids - A Game For Cost Effective Stroke Therapy.". 2014,. Presented at Foundations of Digital Games,. "Advanced Techniques for Scientific Visualization.". 1995,. Presented at SIGGRAPH '95 Course Notes CD,. "Scientific Visualization.". 1995,. Presented at IEEE Visualization 95 Course Notes,. "Futures: MPP Visualization.". 1997,. Presented at DOE Graphics Forum,. "Eliminating Popping in Sheet Buffer-Based Splatting.". 1998,. Presented at IEEE Visualization,. "Rendering Multiple Vector Fields.". 1998,. Presented at Vector Field Visualization Symposium,. "Parallel Rendering and Image-based Rendering.". 1999,. Presented at Large Data Visualization Workshop,. "Parallel Rendering and Image-based Rendering.". 1999,. Presented at Large Data Visualization Workshop 1999,. "Marching Cubes in Four and Higher Dimensions: Extended Abstract.". 1999,. Presented at 4th CGC Workshop on Computational Geometry,. "Remote User-Driven Exploration of Large Scale Volume Data.". 2004,. Presented at Ohio Supercomputer Center,. "Hardware Accelerated Volume Rendering: Splatting on Modern Graphics Hardware.". 2004,. Presented at Ohio Supercomputer Center,. "Tile-Based 3D Display Using A Reconfigurable Display Matrix.". 2004,. Presented at Ohio Supercomputer Center,. "Procedural Textures Using Tilings With Perlin Noise.". 2012,. Presented at Computer Games (CGAMES), 17th International Conference,. "LOOKING FORWARD: PROCEDURAL CONTENT FOR GAMES AND LESSONS LEARNED FROM VISUALIZATION.". 2012,. Presented at CGVCVIP,. "Procedural Terrain Generation for Medical Rehabilitation.". 2013,. Presented at Procedural Content Generation Workshop,. "Games for Therapy: Defining a Grammar and Implementation for the Recognition of Therapeutic Gestures.". 2013,. Presented at Foundations of Digital Games,. "Virtual Flow Visualization.". 2014,. Presented at Ninth International Flow Visualization Symposium,. "Advanced Techniques for Scientific Visualization.". 1994,. Presented at SIGGRAPH '94 Course Notes CD,. "Scientific Visualization.". 1995,. Presented at CG International 95 Course Notes,. "Visualization of Three-Dimensional Vector Fields.". 2006,. Presented at Computer Graphics and Visualization,. "Defining Fun.". 2012,. Presented at CGVCVIP,. "Canyon Run demo.". 2013,. Presented at FDG 2013,. Demo.. 2013,. Presented at Ohio Game Developer Expo,. "Startup Snapshot, VC pitch.". 2014,. Presented at Tech Columbus,. "Startup Snapshot, demo of Recovery Rapids: A gamified CI Therapy.". 2014,. Presented at Tech Columbus,. "A Tile-Based 3D Frame Using Reconfigurable Display Matrix.". 2003,. Presented at SIGGRAPH Sketches,. "Looking Forward: Procedural Content for Games and Lessons Learned From Visualization.". 2012,. Presented at IADIS International Conference on Computer Graphics and Visualization (CGVCVIP),. "Delivery of Constraint-Induced Movement therapy through a video game for individuals with hemiparesis post-stroke.". 2013,. Presented at The Personalized Health Care Conference of The Ohio State University Wexner Medical Center,. Papers in Proceedings2015. Maung, D., Crawfis, R., Gauthier, L.V., Worthen-Chaudhari, L., Lowes, L.P., Borstad, A., McPherson, R., Grealy, J., Adams, J. "Development of Recovery Rapids - A Game For Cost Effective Stroke Therapy.". in FDG 2015.. (5. 2015).. Liang, Jiongqian, Fuhry, David, Maun, David, Crawfis, Roger, Gauthier, Lynne, Nandi, Arnab, Parthasarathy, Srinivasan. "Data Analytics Framework for A Game-based Rehabilitation System.". in 2015 SDM Workshop on Data Mining for Medicine and Healthcare.. (4. 2015).. 2014. Jaffe J, Lowes L, Borstad A, Worthen-Chaudhari L, Crawfis C, Phillips K, Maung D, Adams J, Siles A, Marlin A, McPherson R, Gauthier L.. "Gaming for the brain: video game based arm rehabilitation.". in International Research Congress on Integrative Medicine and Health.. (5. 2014).. Shi, Yinxuan, Crawfis, Roger. "Group Tactics Utilizing Suppression and Shelter.". in Computer Games: AI, Animation, Mobile, Multimedia, Educational and Serious Games (CGAMES).. (7. 2014).. 2013. Yinxuan Shi, Roger Crawfis. "Optimal Cover Placement Against Static Enemy Positions.". in 8th International Conference on the Foundations of Digital Games.. (5. 2013).. 2012. Oleg Mishchenko and Roger Crawfis. "Effective Texture Models for Three Dimensional Flow Visualization.". (5. 2012).. 2011. Lee,Teng-Yok; Mishchenko,Oleg; Shen,Han-Wei; Crawfis,Roger. "View Point Evaluation and Streamline Filtering for Flow Visualization.". in Proceedings of the IEEE Pacific Visualization Symposium 2011.. (3. 2011).. 2010. Boggus,Matt; Crawfis,Roger. "Prismfields: A Framework for Interactive Modelling of Three Dimensional Caves.". in 6th International Symposium on Visual Computing.. (1. 2010).. Boggus,Matt; Crawfis,Roger. "Distance Field Illumination: A Rendering Method to Aid in Navigation of Virtual Environments.". in 6th International Symposium on Visual Computing.. (1. 2010).. Boggus, Mathew and Crawfis, Roger. Distance based illumination as a navigational aid.. in Proceedings of the 2010 ACM SIGGRAPH Symposium on interactive 3D Graphics and Games.. http://doi.acm.org/10.1145/1730971.1730979,. (1. 2010).. Matt Boggus and Roger Crawfis. "Prismfields: A Framework for Interactive Modeling of Three Dimensional Caves.". in Proceedings of the 6th International Symposium on Visual Communication.. (11. 2010).. Mishchenko,Oleg; Raman,Sundaresan; Crawfis,Roger. "Distributed Visualization Framework Architecture.". in Conference on Visualization and Data Analysis 2010.. (1. 2010).. 2009. Matt Boggus, Roger Crawfis. "Procedural Creation of 3D Solution Cave Models.". in International Conference on Modelling and Simulation.. (7. 2009).. Matt Boggus and Roger Crawfis. "Explicit Generation of 3D Models of Solution Caves for Virtual Environments.". in International Conference on Computer Graphics and Virtual Reality.. (7. 2009).. 2008. Sundaresan Raman, Oleg Mishchenko, and Roger Crawfis. "Layers for Effective Volume Rendering.". (8. 2008).. 2006. Crawfis, Roger, Frederic Kuck, Eric Wagner. "Asynchronous Continuous Level-Of-Detail and Texture-Mapping for Large-Scale Terrain Rendering Systems.". (1. 2006).. 2005. Xue,D,Q; Zhang,C,X; Crawfis,R. "iSBVR: Isosurface-aided hardware acceleration techniques for slice-based volume rendering.". in 4th International Workshop on Volume Graphics.. (1. 2005).. Xue,D,Q; Wallace,D; Crawfis,R. "A new 3D display using a dynamically reconfigurable display matrix surface.". in Computer Graphics International Conference (CGI 2005).. (1. 2005).. Zhang,C,X; Xue,D,Q; Crawfis,R. "Light propagation for mixed polygonal and volumetric data.". in Computer Graphics International Conference (CGI 2005).. (1. 2005).. Zhang,C,X; Xue,D,Q; Crawfis,R; Wenger,R. "Time-varying interval volumes.". in Proceedings of the Fourth Eurographics / IEEE VGTC conference on Volume Graphics.. (7. 2005).. 2004. Xue,D,Q; Zhang,C,X; Crawfis,R. "Rendering Implicit Flow Volumes.". in Proceedings of the conference on Visualization '04.. (1. 2004).. Bhaniramka,P; Zhang,C,X; Xue,D,Q; Crawfis,R; Wenger,R. "Volume interval segmentation and rendering.". in IEEE/SIGGRAPH Symposium on Volume Visualization and Graphics (VolVis 2004).. (1. 2004).. Xue,D,Q; Crawfis,R. "Fast dynamic flow volume rendering using textured splats on modern graphics hardware.". in Conference on Visualization and Data Analysis 2004.. (1. 2004).. 2003. Lining Yang, Roger Crawfis. "A panoramic walkthrough system with occlusion culling.". in Proceedings of the workshop on Virtual environments 2003.. (1. 2003).. Zhang,C,X; Crawfis,R. "Shadows and soft shadows with participating media using splatting.". in IEEE Volume Visualization and Graphics Symposium.. (4. 2003).. 2002. Lining Yang, Roger Crawfis. "Rail-track viewer: an image-based virtual walkthrough system.". in Proceedings of the workshop on Virtual environments 2002.. (1. 2002).. Zhang,C; Crawfis,R. "Volumetric shadows using splatting.". in Proceedings of the conference on Visualization '02.. (1. 2002).. Shareef,N; Crawfis,R. "A view-dependent approach to MIP for very large data.". in Conference on Visualization and Data Analysis 2002.. (1. 2002).. 2001. Huang, J., R. Crawfis, S, Lu, C. Shu. "A Complete Distance Specification.". (1. 2001).. 2000. Meissner, Micheal, Jian Haung, Dirk Bartz, Klaus Mueller, Roger Crawfis. "Comparison of the Four Predominant Volume Rendering Techniques.". (1. 2000).. Bhaniramka,P; Wenger,R; Crawfis,R. "Isosurfacing in higher dimensions.". in IEEE Visualization Conference.. (1. 2000).. Huang,J; Mueller,K; Shareef,N; Crawfis,R. "FastSplats: Optimized splatting on rectilinear grids.". in IEEE Visualization Conference.. (1. 2000).. Camuto,M; Crawfis,R; Becker,B. "Approximating scatterplots of large datasets using distribution splats.". in 7th Meeting on Visual Data Exploration and Analysis.. (1. 2000).. 1999. King, Scott A., Roger A. Crawfis and Wayland Reid. "Fast Animation of Amorphous and Gaseous Volumes.". (1. 1999).. Mueller, K., Shareef, N., Huang, J., and Crawfis, R.. "IBR-Assisted Volume Rendering.". (1. 1999).. Jian Huang, Klaus Mueller, Naeem Shareef and Roger Crawfis. "VOXBLT: An Efficient and High-Quality Splat Primitive.". (1. 1999).. Mueller, Klaus, Torsten Moeller, Roger Crawfis. "Splatting without the Blur.". (1. 1999).. Stredney,D; Crawfis,R; Wiet,G,J; Sessanna,D; Shareef,N; Bryan,J. "Interactive volume visualizations for synchronous end asynchronous remote collaboration.". in Conference on Medicine Meets Virtual Reality 7.. (1. 1999).. 1998. Hazard, Chris, Jian Huang and Roger Crawfis. "2D Image Reconstruction with Simultaneous Edge Preservation and Blur.". (1. 1998).. Huang,J; Crawfis,R; Stredney,D. "Edge preservation in volume rendering using splatting.". in IEEE Symposium on Volume Visualization.. (1. 1998).. 1997. Albertelli, G.; Crawfis, R.A.. "Efficient subdivision of finite-element datasets into consistent tetrahedra.". in 8th Annual IEEE Conference on Visualization.. (1. 1997).. Swan,J,E; Mueller,K; Moller,T; Shareef,N; Crawfis,R; Yagel,R. "An anti-aliasing technique for splatting.". in 8th Annual IEEE Conference on Visualization.. (1. 1997).. Albertelli,G; CRAWFIS,R,A. "Efficient subdivision of finite-element datasets into consistent tetrahedra.". in 8th Annual IEEE Conference on Visualization.. (1. 1997).. Albertelli, G.; Crawfis, R.A.. "Efficient subdivision of finite-element datasets into consistent tetrahedra.". (1. 1997).. 1996. Crawfis, R.A.; SOC, I.C.. "Real-time slicing of data space.". (1. 1996).. Crawfis, R.A.. "Real-time slicing of data space.". in 7th Annual IEEE Conference on Visualization (Visualization 96).. (1. 1996).. CRAWFIS,R,A. "Real-time slicing of data space.". in 7th Annual IEEE Conference on Visualization (Visualization 96).. (10. 1996).. 1995. Max,N; Crawfis,R. ADVANCES IN SCIENTIFIC VISUALIZATION.. in Conference on Visual Data Exploration and Analysis II.. http://www.llnl.gov/graphics,. (1. 1995).. Max, Nelson, Crawfis, Roger and Barry Becker. "Applications of Texture Mapping to Volume and Flow Visualization.". (1. 1995).. 1994. Max,N; Crawfis,R; Grant,C. "VISUALIZING 3D VELOCITY FIELDS NEAR CONTOUR SURFACES.". in Visualization 94 Conference.. (1. 1994).. 1993. CRAWFIS, R.A.; MAX, N.. "TEXTURE SPLATS FOR 3D SCALAR AND VECTOR FIELD VISUALIZATION.". (1. 1993).. CRAWFIS, R.A.; MAX, N.. "TEXTURE SPLATS FOR 3D SCALAR AND VECTOR FIELD VISUALIZATION.". in Visualization 93, the 4th Annual IEEE Conference on Visualization.. (1. 1993).. Crawfis, R.A.; Max, N.. "Texture splats for 3D scalar and vector field visualization.". (10. 1993).. Max, Nelson, Roger Crawfis and Barry Becker. "New Techniques in 3D Scalar and Vector Field Visualization.". (8. 1993).. Crawfis,R; Max,N; Becker,B; CABRAL,B. "VOLUME RENDERING OF 3D SCALAR AND VECTOR-FIELDS AT LLNL.". in Supercomputing 93 Conference.. (1. 1993).. CRAWFIS,R,A; Max,N. "TEXTURE SPLATS FOR 3D SCALAR AND VECTOR FIELD VISUALIZATION.". in Visualization 93, the 4th Annual IEEE Conference on Visualization.. (10. 1993).. Max,N; Becker,B; Crawfis,R. "FLOW VOLUMES FOR INTERACTIVE VECTOR FIELD VISUALIZATION.". in Visualization 93, the 4th Annual IEEE Conference on Visualization.. (10. 1993).. 1992. Crawfis, Roger and Nelson Max. "Direct Volume Visualization of Three-Dimensional Vector Fields.". (1. 1992).. Max,N; Crawfis,R; Williams,D. "VISUALIZING WIND VELOCITIES BY ADVECTING CLOUD TEXTURES.". in 3RD ANNUAL CONF ON VISUALIZATION - VISUALIZATION 92.. (10. 1992).. 1991. CRAWFIS, R.A.; ASSOC, N.C.G.. "PHIGS-PLUS FOR SCIENTIFIC GRAPHICS.". (1. 1991).. CRAWFIS, R.A.. "PHIGS-PLUS FOR SCIENTIFIC GRAPHICS.". in 12TH ANNUAL CONF AND EXPOSITION DEDICATED TO COMPUTER GRAPHICS, OF THE NATIONAL COMPUTER GRAPHICS ASSOC ( NCGA 91 ).. (1. 1991).. CRAWFIS,R,A. "PHIGS-PLUS FOR SCIENTIFIC GRAPHICS.". in 12TH ANNUAL CONF AND EXPOSITION DEDICATED TO COMPUTER GRAPHICS, OF THE NATIONAL COMPUTER GRAPHICS ASSOC ( NCGA 91 ).. (1. 1991).. CRAWFIS,R,A; ALLISON,M,J. "A Scientific Visualization Synthesizer.". in 2ND ANNUAL CONF OF THE IEEE ON VISULIZATION ( VISUALIZATION 91 ).. (10. 1991).. Patents. Crawfis, Roger, F. C. Kuck, E. Noble, E. Wagner.. "Obelisk Textures: A Multi-texturing Approach to Clip-maps.". Patent number: 7626591. Becker,Barry,Glenn; Crawfis,Roger,A.. "Method, system and computer program product for visually approximating scattered data using color to represent values of a categorical variable.". Patent number: 6373483. Department ofComputer Science and Engineering395 Dreese Laboratories2015 Neil AvenueColumbus, OH 43210-1277(614) 292-5813 Phone(614) 292-2911 Fax. Support CSE. Invest in a Buckeye. Your gift will make a difference.. Connect. facebookyoutube. 2019 The Ohio State UniversityAccessibilityPrivacy PolicyHelpLogin. diff --git a/src/data/compiled_bios/4054.txt b/src/data/compiled_bios/4054.txt new file mode 100644 index 0000000000..92d3a4c36b --- /dev/null +++ b/src/data/compiled_bios/4054.txt @@ -0,0 +1 @@ +Jim Davis. Professor, Computer Science & Engineering. 491 Dreese Laboratories. 2015 Neil Ave. Columbus,. OH. 43210. 614-292-1553. davis.1719@osu.edu. http://web.cse.ohio-state.edu/~jwdavis. Honors. April, 2015. Innovators Award.. May, 2012. Lumley Engineering Research Award.. November, 2010. Best Paper Award.. September, 2010. Computer Vision and Pattern Recognition Outstanding Reviewer Award.. March, 2010. CSE Departmental Teaching Award.. May, 2005. Lumley Engineering Research Award.. December, 2002. Lockheed-Martin Best Paper Award.. Chapters2009. 2009.. "Human Detection and Tracking.". In Encyclopedia of Biometrics,. edited by S. Li,. 1997. 1997.. "Action Recognition Using Temporal Templates.". In Motion-Based Recognition,. edited by M. Shah and R. Jain,. Journal Articles2011. M. Keck and J. Davis,. 2011,. "Recovery and Reasoning about Occlusions in 3D using Few Cameras with Applications to 3D Tracking.". International Journal of Computer Vision. 95,. no. 3,. 240-264 -. 240-264.. Keck M. and Davis J.,. 2011,. "Recovery and Reasoning about Occlusions in 3D using Few Cameras with Applications to 3D Tracking.". International Journal of Computer Vision. 95,. no. 3,. 240-264 -. 240-264.. 2009. V. Sharma and J. Davis,. 2009,. "A Feature-Selection Approach to Fusion of Electro-Optical and Infrared Imagery.". Electronic Image & Signal Processing. February,. 3 pages -. 3 pages.. 2007. Davis J. and Sharma V.,. 2007,. "Background-Subtraction using Contour-based Fusion of Thermal and Visible Imagery.". Computer Vision and Image Understanding. 106,. no. 2-3,. 162-182 -. 162-182.. Murray, A., Kim, K., Davis, J., Machiraju, R., and Parent, R.,. 2007,. "Coverage Optimization to Support Security Monitoring.". Computers, Environment and Urban Systems. 31,. 133-147 -. 133-147.. Davis J., Morison A., and Woods D.,. 2007,. "An Adaptive Focus-of-Attention Model for Video Surveillance and Monitoring.". Machine Vision and Applications Journal. 18,. no. 1,. 41-64 -. 41-64.. 2006. J. Davis and A. Tyagi,. 2006,. "Minimal-Latency Human Action Recognition using Reliable-Inference.". Image and Vision Computing. 24,. 455-472 -. 455-472.. H. Gao and J. Davis,. 2006,. "Why Direct LDA is not Equivalent to LDA.". Pattern Recognition. 39,. 1002-1006 -. 1002-1006.. 2004. J. Davis and H. Gao,. 2004,. "An Expressive Three-Mode Principal Components Model for Gender Recognition.". Journal of Vision. 4,. no. 5,. 362-377 -. 362-377.. R. Tan and J. Davis,. 2004,. "Differential Video Coding of Face and Gesture Events in Presentation Videos.". Computer Vision and Image Understanding. 96,. no. 2,. 200-215 -. 200-215.. 2003. J. Davis and H. Gao,. 2003,. "An Expressive Three-Mode Principal Components Model of Human Action Style.". Image and Vision Computing. 21,. no. 11,. 1001-1016 -. 1001-1016.. 2002. G. Bradski and J. Davis,. 2002,. "Motion Segmentation and Pose Recognition with Motion History Gradients.". International Journal of Machine Vision and Applications. 13,. no. 3,. 174-184 -. 174-184.. Bradski G. and Davis J.,. 2002,. "Motion Segmentation and Pose Recognition with Motion History Gradients.". International Journal of Machine Vision and Applications. 13,. no. 3,. 174-184 -. 174-184.. 2001. A. Bobick and J. Davis,. 2001,. "The Recognition of Human Movement Using Temporal Templates.". IEEE Transactions on Pattern Analysis and Machine Intelligence. 23,. no. 3,. 257-267 -. 257-267.. 2000. C. Pinhanez, J. Davis, S. Intille, M. Johnson, A. Wilson, A. Bobick, and B. Blumberg,. 2000,. "Physically Interactive Story Environments.". IBM Systems Journal. 39,. no. 3/4,. 438-455 -. 438-455.. Pinhanez C., Davis J., Intille S., Johnson M., Wilson A., Bobick A., and Blumberg B.,. 2000,. "Physically Interactive Story Environments.". IBM Systems Journal. 39,. no. 3/4,. 438-455 -. 438-455.. 1999. Bobick A., Intille S., Davis J., Baird F., Pinhanez C., Campbell L., Ivanov Y., Schutte A., and Wilson A.,. 1999,. "The KidsRoom: A Perceptually-Based Interactive and Immersive Story Environment.". Presence: Teleoperators and Virtual Environments. 8,. no. 4,. 367-391 -. 367-391.. J. Davis and M. Shah,. 1999,. "Toward 3-D Gesture Recognition.". International Journal of Pattern Recognition and Artificial Intelligence. 13,. no. 3,. 381-393 -. 381-393.. Davis J. and Shah M.,. 1999,. "Toward 3-D Gesture Recognition.". International Journal of Pattern Recognition and Artificial Intelligence. 13,. no. 3,. 381-393 -. 381-393.. 1994. J. Davis and M. Shah,. 1994,. "Visual Gesture Recognition.". Vision, Image and Signal Processing. 141,. no. 2,. 101-106 -. 101-106.. Davis J. and Shah M.,. 1994,. "Visual Gesture Recognition.". Vision, Image and Signal Processing. 141,. no. 2,. 101-106 -. 101-106.. Presentations. "Academic Audio Engineering and Commercialization (from concept, to prototype, to product).". 2015,. Presented at Middle Tennessee State University,. "Academic Audio Engineering and Commercialization (from concept, to prototype, to product).". 2015,. Presented at Belmont University,. "Academic Audio Engineering and Commercialization (from concept, to prototype, to product).". 2016,. Presented at University of Central Florida,. "Recognizing Hand Gestures.". 1994,. Presented at European Conference on Computer Vision,. "Virtual PAT: A Virtual Personal Aerobics Trainer.". 1998,. Presented at Workshop on Perceptual User Interfaces,. "Visual Categorization of Children and Adult Walking Styles.". 2001,. Presented at International Conference on Audio- and Video-based Biometric Person Authentication,. "Representing and Recognizing Human Motion: From Templates to Categories (Invited).". 2001,. Presented at International Conference on Intelligent Robots and Systems (IROS) Workshop on Digital Human Modeling,. "A Perceptual User Interface for Recognizing Head Gesture Acknowledgements.". 2001,. Presented at ACM Workshop on Perceptual User Interfaces,. "Computer Recognition of Human Actions.". 2003,. Presented at Siemens Vision Series,. "Control, Registration, and Exploitation of Video Sensor Networks.". 2009,. Presented at Workshop on Distributed Video Sensor Networks (invitation-only workshop),. "Real-time Recognition of Activity Using Temporal Templates.". 1996,. Presented at IEEE Workshop on Applications of Computer Vision,. "Categorical Representation and Recognition of Oscillatory Motion Patterns.". 2000,. Presented at IEEE Conference on Computer Vision and Pattern Recognition,. "Motion Recognition: From Templates to Categories.". 2000,. Presented at Speaker Series,. "Representing and Recognizing Human Actions.". 2004,. Presented at CMU Departmental Speaker Series,. "Future of Video Surveillance.". 2007,. Presented at ASIS (American Society for Industrial Security) Annual Seminar and Exhibits,. "Behavior Analysis in Surveillance Video.". 2012,. Presented at ECE Colloquium, Boston University,. "The KidsRoom: An Example Application Using a Deep Perceptual Interface.". 1997,. Presented at Workshop on Perceptual User Interfaces,. "Machine Recognition of Oscillatory Motions.". 1999,. Presented at Human and Machine Vision Talk Series,. "Visual Categorization and Recognition of Children and Adult Locomotion.". 2001,. Presented at Invited Speaker Series,. "Hierarchical Motion History Images for Recognizing Human Motion.". 2001,. Presented at IEEE Workshop on Detection and Recognition of Events in Video,. "Computer Analysis and Recognition of Human Actions.". 2002,. Presented at Seminar on Cognitive Science,. "Expressive Features for Movement Exaggeration.". 2002,. Presented at ACM SIGGRAPH Technical Sketches,. "Analysis and Recognition of Walking Movements.". 2002,. Presented at IEEE International Conference on Pattern Recognition,. "Computer Recognition of Human Actions.". 2003,. Presented at UIUC Departmental Speaker Series,. "Gender Recognition from Walking Movements using Adaptive Three-Mode PCA.". 2004,. Presented at IEEE Workshop on Articulated and Nonrigid Motion,. "Detection and Recognition of Human Activity in Thermal Video.". 2004,. Presented at U.S. Army Night Vision Laboratory Seminar Series,. "Sequential Reliable-Inference for Rapid Detection of Human Actions.". 2004,. Presented at IEEE Workshop on Detection and Recognition of Events in Video,. "Robust Background-Subtraction for Person Detection in Thermal Imagery.". 2004,. Presented at IEEE International Workshop on Object Tracking and Classification Beyond the Visible Spectrum,. "A Discussion of Commercialization.". 2015,. Presented at OSU course Vetbios 8855 "Commercialization for Researchers",. "A Discussion of Home Audio Recording in the Digital Age.". 2015,. Presented at OSU Student Chapter of the Acoustical Society of America,. "Determining 3-D Hand Motion.". 1994,. Presented at IEEE Asilomar Conference on Signals, Systems & Computers,. "Real-time Motion Template Gradients using Intel CVLib.". 1999,. Presented at IEEE Workshop on Frame-Rate Computer Vision,. "A Reliable-Inference Framework for Recognition of Human Actions.". 2003,. Presented at IEEE International Conference on Advanced Video and Signal Based Surveillance,. "The Representation and Recognition of Action Using Temporal Templates.". 1997,. Presented at IEEE Conference on Computer Vision and Pattern Recognition,. "Computer Analysis and Recognition of Human Actions.". 2002,. Presented at Central Ohio Chapter of ACM Annual Symposium,. "Computer Analysis and Recognition of Human Actions.". 2002,. Presented at Speaker Series,. "Computer Recognition of Human Activities.". 2002,. Presented at U.S. Army Night Vision Laboratory Speaker,. "A Robust Human-Silhouette Extraction Technique for Interactive Virtual Environments.". 1998,. Presented at International Workshop on Modeling and Motion Capture Techniques for Virtual Environments,. "Categorical Oscillatory Motions.". 1998,. Presented at Speaker Series,. "Computer Recognition of Human Movement and Activity from Video.". 2004,. Presented at Visual Science Seminar,. "Recognizing Children from Adults by Modal Locomotion.". 2000,. Presented at Speaker Series,. "Computer Recognition of Human Actions.". 2003,. Presented at Boston University Departmental Speaker Series,. "Video Surveillance of Tomorrow.". 2004,. Presented at ASIS (American Society for Industrial Security) Annual Seminar and Exhibits,. "TBD.". 2017,. Presented at University of Central Florida 30-year NSF REU Reunion Celebration,. Papers in Proceedings2014. J. Barker and J. Davis. "Temporally-Dependent Dirichlet Process Mixtures for Egocentric Video Segmentation.". (6. 2014).. D. Zamalieva, A. Yilmaz, and J. Davis. "A Multi-Transformational Model for Background Subtraction with Moving Cameras.". (9. 2014).. Barker, J.W.; Davis, J.W.; IEEE,. "Temporally-Dependent Dirichlet Process Mixtures for Egocentric Video Segmentation.". (1. 2014).. Zamalieva, D.; Yilmaz, A.; Davis, J.W.. "A Multi-transformational Model for Background Subtraction with Moving Cameras.". (1. 2014).. Zamalieva, D.; Yilmaz, A.; Davis, J.W.. "A multi-transformational model for background subtraction with moving cameras.". (1. 2014).. Barker, J.W.; Davis, J.W.. "Temporally-dependent dirichlet process mixtures for egocentric video segmentation.". (1. 2014).. D. Zamalieva, A. Yilmaz, and J. Davis. "Exploiting Temporal Geometry for Moving Camera.". (8. 2014).. Barker, J.W.; Davis, J.W.. "Temporally-Dependent Dirichlet Process Mixtures for Egocentric Video Segmentation.". in IEEE Conference on Computer Vision and Pattern Recognition (CVPR).. (1. 2014).. Zamalieva, D.; Yilmaz, A.; Davis, J.W.. "A Multi-transformational Model for Background Subtraction with Moving Cameras.". in 13th European Conference on Computer Vision (ECCV).. (1. 2014).. 2013. Sankaranarayanan, K.; Davis, J.W.. "One-class multiple instance learning and applications to target tracking.". (4. 2013).. 2012. K. Sankaranarayanan and J. Davis. "One-Class Multiple Instance Learning and Applications to Target Tracking.". in Asian Conference on Computer Vision.. (11. 2012).. Sankaranarayanan, K.; Davis, J.W.; IEEE,. "Segmentation and Scene Modeling for MIL-based Target Localization.". (1. 2012).. Sankaranarayanan, K.; Davis, J.W.. "Segmentation and scene modeling for MIL-based target localization.". (12. 2012).. K. Sankaranarayanan and J. Davis. "Segmentation and Scene Modeling for MIL-based Target Localization.". in IAPR International Conference on Pattern Recognition.. (11. 2012).. Sankaranarayanan, K.; Davis, J.W.. "Segmentation and Scene Modeling for MIL-based Target Localization.". in 21st International Conference on Pattern Recognition (ICPR).. (1. 2012).. 2011. Sankaranarayanan, K.; Davis, J.W.. "PTZ camera modeling and panoramic view generation via focal plane mapping.". (3. 2011).. Sankaranarayanan, K.; Davis, J.W.. "PTZ Camera Modeling and Panoramic View Generation via Focal Plane Mapping.". in 10th Asian Conference on Computer Vision.. (1. 2011).. Sankaranarayanan, K.; Davis, J.W.. "Object Association Across PTZ Cameras using Logistic MIL.". in IEEE Conference on Computer Vision and Pattern Recognition (CVPR).. (1. 2011).. Sankaranarayanan, K.; Davis, J.W.; IEEE,. "Object Association Across PTZ Cameras using Logistic MIL.". (1. 2011).. Sankaranarayanan, K.; Davis, J.W.. "PTZ Camera Modeling and Panoramic View Generation via Focal Plane Mapping.". (1. 2011).. Streib, K.; Davis, J.W.; IEEE,. "Using Ripley's K-function to Improve Graph-Based Clustering Techniques.". (1. 2011).. Streib, K.; Davis, J.W.. "Using Ripley's K-function to Improve Graph-Based Clustering Techniques.". in IEEE Conference on Computer Vision and Pattern Recognition (CVPR).. (1. 2011).. K. Streib and J. Davis. "Using Ripley's K-function to Improve Graph-Based Clustering Techniques.". in IEEE Conference on Computer Vision and Pattern Recognition.. (6. 2011).. Sankaranarayanan, K.; Davis, J.W.. "Object association across PTZ cameras using logistic MIL.". (9. 2011).. Streib, K.; Davis, J.W.. "Using Ripley's K-function to improve graph-based clustering techniques.". (9. 2011).. K. Sankaranarayanan and J. Davis. "Object Association Across PTZ Cameras using Logistic MIL.". in IEEE Conference on Computer Vision and Pattern Recognition.. (6. 2011).. 2010. Nedrich, M.; Davis, J.W.. "Learning scene entries and exits using coherent motion regions.". (12. 2010).. Streib, K.; Davis, J.W.. "Exploiting Multiple Cameras for Environmental Pathlets.". in 6th International Symposium on Visual Computing.. (1. 2010).. K. Sankaranarayanan and J. Davis. "PTZ Camera Modeling and Panoramic View Generation via Focal Plane Mapping.". in Asian Conference on Computer Vision.. (11. 2010).. M. Nedrich and J. Davis. "Learning Scene Entries and Exits using Coherent Motion Regions.". in International Symposium on Visual Computing.. (11. 2010).. Nedrich, M.; Davis, J.W.. "Learning Scene Entries and Exits Using Coherent Motion Regions.". (1. 2010).. Streib, K.; Davis, J.W.. "Extracting pathlets from weak tracking data.". (11. 2010).. Streib, K.; Davis, J.W.; Hussain, M.; KarHan, T. et al.. "Exploiting Multiple Cameras for Environmental Pathlets.". (1. 2010).. Sankaranarayanan, K.; Davis, J.W.. "Attention-Based Target Localization Using Multiple Instance Learning.". (1. 2010).. Streib, K.; Davis, J.W.. "Exploiting multiple cameras for environmental pathlets.". (12. 2010).. K. Sankaranarayanan and J. Davis. "Attention-based Target Localization using Multiple Instance Learning [Best Paper Award].". in International Symposium on Visual Computing.. (11. 2010).. Sankaranarayanan, K.; Davis, J.W.. "Attention-Based Target Localization Using Multiple Instance Learning.". in 6th International Symposium on Visual Computing.. (1. 2010).. K. Streib and J. Davis. "Extracting Pathlets From Weak Tracking Data.". in IEEE Conference on Advanced Video and Signal Based Surveillance.. (8. 2010).. Sankaranarayanan, K.; Davis, J.W.. "Learning directed intention-driven activities using co-clustering.". (11. 2010).. K. Sankaranarayanan and J. Davis. "Learning Directed Intention-driven Activities using Co-Clustering.". in IEEE Conference on Advanced Video and Signal Based Surveillance.. (8. 2010).. Sankaranarayanan, K.; Davis, J.W.. "Attention-based target localization using multiple instance learning.". (12. 2010).. Nedrich, M.; Davis, J.W.. "Learning Scene Entries and Exits Using Coherent Motion Regions.". in 6th International Symposium on Visual Computing.. (1. 2010).. K. Streib and J. Davis. "Exploiting Multiple Cameras for Environmental Pathlets.". in International Symposium on Visual Computing.. (11. 2010).. 2009. Morison, A.M.; Woods, D.D.; Davis, J.W.. "How panoramic visualization can support human supervision of intelligent surveillance.". (12. 2009).. A. Morison, D. Woods, and J. Davis. "How Panoramic Visualization can Support Human Supervision of Intelligent Surveillance.". in Annual Meeting of the Human Factors and Ergonomics Society.. (10. 2009).. 2008. Tyagi, A.; Davis, J.W.; IEEE,. "A recursive filter for linear systems on Riemannian manifolds.". (1. 2008).. Tyagi, A.; Davis, J.W.. "A context-based tracker switching framework.". in IEEE Workshop on Motion and Video Computing.. (1. 2008).. Tyagi, A.; Davis, J.W.; IEEE,. "A context-based tracker switching framework.". (1. 2008).. Keck, M.; Davis, J.W.. "3D occlusion recovery using few cameras.". in IEEE Conference on Computer Vision and Pattern Recognition.. (1. 2008).. Sankaranarayanan, K.; Davis, J.W.. "An efficient active camera model for video surveillance.". in IEEE Workshop on Applications of Computer Vision.. (1. 2008).. Keck, M.; Davis, J.W.. "3D occlusion recovery using few cameras.". (9. 2008).. Sankaranarayanan, K.; Davis, J.W.; IEEE,. "An efficient active camera model for video surveillance.". (1. 2008).. Keck, M.; Davis, J.W.; IEEE,. "3D occlusion recovery using few cameras.". (1. 2008).. K. Sankaranarayanan and J. Davis. "An Efficient Active Camera Model for Video Surveillance.". in IEEE Workshop on Applications of Computer Vision.. (1. 2008).. Sankaranarayanan, K.; Davis, J.W.. "A fast linear registration framework for multi-camera gis coordination.". (12. 2008).. M. Keck and J. Davis. "3D Occlusion Recovery using Few Cameras.". in IEEE Conference on Computer Vision and Pattern Recognition.. (6. 2008).. Tyagi, A.; Davis, J.W.; Potamianos, G.. "Steepest descent for efficient covariance mracking.". in IEEE Workshop on Motion and Video Computing.. (1. 2008).. Tyagi, A.; Davis, J.W.. "A recursive filter for linear systems on Riemannian manifolds.". in IEEE Conference on Computer Vision and Pattern Recognition.. (1. 2008).. Tyagi, A.; Davis, J.W.; Potamianos, G.; IEEE,. "Steepest descent for efficient covariance mracking.". (1. 2008).. A. Tyagi and J. Davis. "A Context-Based Tracker Switching Framework.". in IEEE Workshop on Motion and Video Computing.. (1. 2008).. Tyagi, A.; Davis, J.W.. "A context-based tracker switching framework.". (9. 2008).. A. Tyagi, J. Davis, and G. Potamianos. "Steepest Descent for Efficient Covariance Tracking.". in IEEE Workshop on Motion and Video Computing.. (1. 2008).. K. Sankaranarayanan, and J. Davis. "A Fast Linear Registration Framework for Multi-Camera GIS Coordination.". in International Conference on Advanced Video and Signal Based Surveillance.. (9. 2008).. A. Tyagi and J. Davis. "A Recursive Filter For Linear Systems on Riemannian Manifolds.". in IEEE Conference on Computer Vision and Pattern Recognition.. (6. 2008).. Tyagi, A.; Davis, J.W.. "A recursive filter for linear systems on Riemannian manifolds.". (9. 2008).. Tyagi, A.; Davis, J.W.; Potamianos, G.. "Steepest descent for efficient covariance tracking.". (9. 2008).. Sankaranarayanan, K.; Davis, J.W.. "An efficient active camera model for video surveillance.". (9. 2008).. 2007. Sharma, V.; Davis, J.W.. "Extraction of person silhouettes from surveillance imagery using MRFs.". (8. 2007).. A. Tyagi, G. Potamianos, J. Davis, and S. Chu. "Fusion of Multiple Camera Views for Kernel-Based 3D Tracking.". in IEEE Workshop on Motion and Video Computing.. (2. 2007).. Sharma, V.; Davis, J.W.. "Simultaneous detection and segmentation of pedestrians using top-down and bottom-up processing.". (10. 2007).. Sharma, V.; Davis, J.W.. "Integrating appearance and motion cues for simultaneous detection and segmentation of pedestrians.". (12. 2007).. Tyagi, A.; Potamianos, G.; Davis, J.W.; Chu, S.M.. "Fusion of multiple camera views for kernel-based 3D tracking.". (8. 2007).. Sharma, V.; Davis, J.W.. "Simultaneous detection and segmentation of pedestrians using top-down and bottom-up processing.". in IEEE Conference on Computer Vision and Pattern Recognition.. (1. 2007).. Tyagi, A.; Keck, M.; Davis, J.W.; Potamianos, G.. "Kernel-based 3D tracking.". in IEEE Conference on Computer Vision and Pattern Recognition.. (1. 2007).. V. Sharma and J. Davis. "Simultaneous Detection and Segmentation of Pedestrians using Top-down and Bottom-up Processing.". in IEEE International Workshop on Visual Surveillance.. (6. 2007).. Davis, J.W.; Morison, A.M.; Woods, D.D.. "Building adaptive camera models for video surveillance.". (8. 2007).. Tyagi, A.; Keck, M.; Davis, J.W.; Potamianos, G.. "Kernel-based 3D tracking.". (10. 2007).. V. Sharma and J. Davis. "Integrating Appearance and Motion Cues for Simultaneous Detection and Segmentation of Pedestrians.". in IEEE International Conference on Computer Vision.. (10. 2007).. V. Sharma, J. Davis, and A. Tyagi. "Extraction of Person Silhouettes from Surveillance Imagery using MRFs.". in IEEE Workshop on Application of Computer Vision.. (2. 2007).. Sharma, V.; Davis, J.W.; IEEE,. "Simultaneous detection and segmentation of pedestrians using top-down and bottom-up processing.". (1. 2007).. A. Tyagi, M. Keck, J. Davis, and G. Potamianos. "Kernel-Based 3D Tracking.". in IEEE International Workshop on Visual Surveillance.. (6. 2007).. Sharma, V.; Davis, J.W.. "Integrating appearance and motion cues for simultaneous detection and segmentation of pedestrians.". in 11th IEEE International Conference on Computer Vision.. (1. 2007).. Tyagi, A.; Keck, M.; Davis, J.W.; Potamianos, G. et al.. "Kernel-based 3D tracking.". (1. 2007).. Sharma, V.; Davis, J.W.; IEEE,. "Integrating appearance and motion cues for simultaneous detection and segmentation of pedestrians.". (1. 2007).. J. Davis, A. Morison, and D. Woods. "Building Adaptive Camera Models for Video Surveillance.". in IEEE Workshop on Application of Computer Vision.. (2. 2007).. 2006. V. Sharma and J. Davis. "Feature-level Fusion for Object Segmentation using Mutual Information.". in IEEE International Workshop on Object Tracking and Classification Beyond the Visible Spectrum.. (6. 2006).. Gao, H.; Davis, J.W.. "Sampling representative examples for dimensionality reduction and recognition - Bootstrap bumping LDA.". in 9th European Conference on Computer Vision (ECCV 2006).. (1. 2006).. Tyagi, A.; Davis, J.W.; Keck, M.. "Multiview fusion for canonical view generation based on homography constraints.". (12. 2006).. Y. Chen, R. Parent, R. Machiraju, and J. Davis. "Human Activity Recognition for Synthesis.". in IEEE Workshop on Learning, Representation, and Context for Human Sensing in Video.. (6. 2006).. Keck, M.A.; Davis, J.W.; Tyagi, A.. "Tracking mean shift clustered point clouds for 3D surveillance.". (12. 2006).. Gao, H.; Davis, J.W.; Bischof, H.. "Sampling representative examples for dimensionality reduction and recognition - Bootstrap bumping LDA.". (1. 2006).. M. Keck, J. Davis, and A. Tyagi. "Tracking Mean Shift Clustered Point Clouds for 3D Surveillance.". in ACM Multimedia Workshop on Video Surveillance and Sensor Networks.. (10. 2006).. A. Tyagi, J. Davis, and M. Keck. "Multiview Fusion for Canonical View Generation based on Homography Constraints.". in ACM Multimedia Workshop on Video Surveillance and Sensor Networks.. (10. 2006).. Gao, H.; Davis, J.W.. "Sampling representative examples for dimensionality reduction and recognition - Bootstrap bumping LDA.". (7. 2006).. H. Gao and J. Davis. "Sampling Representative Examples for Dimensionality Reduction and Recognition Bootstrap Bumping LDA.". in European Conference on Computer Vision.. (5. 2006).. 2005. Woods, D.; McNee, S.; Davis, J.W.; Morison, A. et al.. "Event template hierarchies as means for human-automation collaboration in security surveillance.". (12. 2005).. J. Davis and M. Keck. "A Two-Stage Template Approach to Person Detection in Thermal Imagery.". in IEEE Workshop on Applications of Computer Vision.. (1. 2005).. D. Woods, S. McNee, J. Davis, A. Morison, P. Maughan, and K. Christoffersen. "Event Template Hierarchies as Means for Human-Automation Collaboration in Surveillance.". in Human Factors and Ergonomics Society Annual Meeting.. (9. 2005).. Davis, J.; Keck, M.. "A Two-Stage Template Approach to Person Detection in Thermal Imagery.". in IEEE Workshop on Applications of Computer Vision.. (1. 2005).. J. Davis and M. Keck. "Modeling Behavior Trends and Detecting Abnormal Events using Seasonal Kalman Filters.". in BMVC Workshop on Human Activity Recognition and Modelling.. (9. 2005).. J. Davis and V. Sharma. "Fusion-based Background-Subtraction using Contour Saliency.". in IEEE International Workshop on Object Tracking and Classification Beyond the Visible Spectrum.. (6. 2005).. 2004. Davis, J.W.. "Sequential reliable-inference for rapid detection of human actions.". (1. 2004).. J. Davis. "Sequential Reliable-Inference for Rapid Detection of Human Actions.". in IEEE Workshop on Detection and Recognition of Events in Video.. (7. 2004).. Davis, J.; Sharma, V.. "Robust Detection of People in Thermal Imagery.". in International Conference on Pattern Recognition.. (8. 2004).. J. Davis and V. Sharma. "Robust Background-Subtraction for Person Detection in Thermal Imagery.". in IEEE International Workshop on Object Tracking and Classification Beyond the Visible Spectrum.. (7. 2004).. Davis, J.W.; Gao, H.. "Gender recognition from walking movements using adaptive three-mode PCA.". (1. 2004).. J. Davis and H. Gao. "Gender Recognition From Walking Movements using Adaptive Three-Mode PCA.". in IEEE Workshop on Articulated and Nonrigid Motion.. (6. 2004).. J. Davis and V. Sharma. "Robust Detection of People in Thermal Imagery.". in International Conference on Pattern Recognition.. (8. 2004).. Davis, J.W.; Sharma, V.. "Robust background-subtraction for person detection in Thermal Imagery.". (1. 2004).. 2003. J. Davis and A. Tyagi. "A Reliable-Inference Framework for Recognition of Human Actions.". in IEEE International Conference on Advanced Video and Signal Based Surveillance.. (7. 2003).. Davis, J.W.; Gao, H.. "Recognizing human action efforts: An adaptive three-mode PCA framework.". (12. 2003).. J. Davis and H. Gao. "Recognizing Human Action Efforts: An Adaptive Three-Mode PCA Framework.". in IEEE International Conference on Computer Vision.. (10. 2003).. Davis, J.W.; Gao, H.. "Recognizing human action efforts: An adaptive three-mode PCA framework.". in 9th IEEE International Conference on Computer Vision.. (1. 2003).. Davis, J.W.; Gao, H.; SOCIETY, I.C.; SOCIETY, I.C.. "Recognizing human action efforts: An adaptive three-mode PCA framework.". (1. 2003).. Davis, J.; Tyagi, A.. "A Reliable-Inference Framework for Recognition of Human Actions.". in IEEE International Conference on Advanced Video and Signal Based Surveillance.. (7. 2003).. 2002. J. Davis, H. Gao, and V. Kannappan. "A Three-Mode Expressive Feature Model of Action Effort [Best Paper Award].". in IEEE Workshop on Motion and Video Computing.. (12. 2002).. Davis, J.; Taylor, S.. "Analysis and Recognition of Walking Movements.". in IEEE International Conference on Pattern Recognition.. (8. 2002).. Bradski, G.R.; Davis, J.W.. "Motion segmentation and pose recognition with motion history gradients.". (12. 2002).. Bradski, G.R.; Davis, J.W.. "Motion segmentation and pose recognition with motion history gradients.". (7. 2002).. J. Davis and S. Taylor. "Analysis and Recognition of Walking Movements.". in IEEE International Conference on Pattern Recognition.. (8. 2002).. Bradski, G.R.; Davis, J.W.. "Motion segmentation and pose recognition with motion history gradients.". (7. 2002).. 2001. J. Davis. "Representing and Recognizing Human Motion: From Motion Templates to Movement Categories.". in Digital Human Modeling Workshop, International Conference on Intelligent Robots and Systems.. (10. 2001).. J. Davis. "Hierarchical Motion History Images for Recognizing Human Motion.". in IEEE Workshop on Detection and Recognition of Events in Video.. (7. 2001).. J. Davis and S. Vaks. "A Perceptual User Interface for Recognizing Head Gesture Acknowledgements.". in ACM Workshop on Perceptual User Interfaces.. (11. 2001).. J. Davis. "Visual Categorization of Children and Adult Walking Styles.". in International Conference on Audio- and Video-based Biometric Person Authentication.. (6. 2001).. Davis, J.W.. "Visual categorization of children and adult walking styles.". (12. 2001).. Davis, J.W.. "Hierarchical motion history images for recognizing human motion.". in IEEE Workshop on Detection and Recognition of Events in Video (EVENT 2001).. (1. 2001).. Davis, J.W.. "Visual categorization of children and adult walking styles.". (1. 2001).. Davis, J.W.; SOCIETY, I.C.; SOCIETY, I.C.. "Hierarchical motion history images for recognizing human motion.". (1. 2001).. Davis, J.W.. "Visual categorization of children and adult walking styles.". in 3rd International Conference on Audio- and Video- Based Biometric Person Authentication.. (1. 2001).. Davis, J.W.; Vaks, S.. "A perceptual user interface for recognizing head gesture acknowledgements.". (11. 2001).. Davis, J.W.. "Hierarchical motion history images for recognizing human motion.". (1. 2001).. 2000. J. Davis, A. Bobick, and W. Richards. "Categorical Representation and Recognition of Oscillatory Motion Patterns.". in IEEE Conference on Computer Vision and Pattern Recognition.. (6. 2000).. G. Bradski and J. Davis. "Motion Segmentation and Pose Recognition with Motion History Gradients.". in IEEE Workshop on Applications of Computer Vision.. (12. 2000).. 1999. J. Davis and G. Bradski. "Real-Time Motion Template Gradients Using Intel CVLib.". in IEEE Workshop on Frame-Rate Computer Vision.. (9. 1999).. 1998. Davis, J.W.; Bobick, A.F.. "A robust human-silhouette extraction technique for interactive virtual environments.". (1. 1998).. J. Davis and A. Bobick. "A Robust Human-Silhouette Extraction Technique for Interactive Virtual Environments.". in International Workshop on Modeling and Motion Capture Techniques for Virtual Environments.. (11. 1998).. Davis, J.W.; Bobick, A.F.. "A robust human-silhouette extraction technique for interactive virtual environments.". in International Workshop on Modelling and Motion Capture Techniques for Virtual Environments.. (1. 1998).. Davis, J.W.; Bobick, A.F.. "A robust human-silhouette extraction technique for interactive virtual environments.". (1. 1998).. C. Wren, F. Sparacino, A. Azarbayejani, T. Darrell , J. Davis, T. Starner, A. Kotani, C. Chao, M. Hlavac, K. Russell, A. Bobick, and A. Pentland. "Perceptive Spaces for Performance and Entertainment.". in ATR Workshop on Virtual Communication Environments.. (4. 1998).. J. Davis and A. Bobick. "Virtual PAT: A Virtual Personal Aerobics Trainer.". in Workshop on Perceptual User Interfaces.. (11. 1998).. A. Bobick, S. Intille, J. Davis, F. Baird, C. Pinhanez, L. Campbell, Y. Ivanov, A. Schutte, and A. Wilson. "Design Decisions for Interactive Environments: Evaluating the KidsRoom Application using a Deep Perceptual Interface.". in AAAI Symposium on Intelligent Environments.. (3. 1998).. 1997. Intille, S.S.; Davis, J.W.; Bobick, A.F.; SOC, I.C.. "Real-time closed-world tracking.". (1. 1997).. A. Bobick, J. Davis, and S. Intille. "The KidsRoom: An Example Application using a Deep Perceptual Interface.". in Workshop on Perceptual User Interfaces.. (10. 1997).. J. Davis and A. Bobick. "The Representation and Recognition of Action using Temporal Templates.". in IEEE Conference on Computer Vision and Pattern Recognition.. (6. 1997).. Davis, J.W.; Bobick, A.F.; SOC, I.C.. "The representation and recognition of human movement using temporal templates.". (1. 1997).. Intille, S.S.; Davis, J.W.; Bobick, A.F.. "Real-time closed-world tracking.". in 1997 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 97).. (1. 1997).. Davis, J.W.; Bobick, A.F.. "The representation and recognition of human movement using temporal templates.". in 1997 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 97).. (1. 1997).. S. Intille, J. Davis, and A. Bobick. "Real-Time Closed-World Tracking.". in IEEE Conference on Computer Vision and Pattern Recognition.. (6. 1997).. 1996. A. Bobick and J. Davis. "An Appearance-Based Representation of Action.". in IEEE International Conference on Pattern Recognition.. (8. 1996).. A. Bobick and J. Davis. "Real-Time Recognition of Activity Using Temporal Templates.". in IEEE Workshop on Applications of Computer Vision.. (12. 1996).. 1994. J. Davis and M. Shah. "Determining 3-D Hand Motion.". in IEEE Asilomar Conference on Signals, Systems & Computers.. (10. 1994).. J. Davis and M. Shah. "Recognizing Hand Gestures.". in European Conference on Computer Vision.. (5. 1994).. Patents. Davis, J... "Polarity Maximizer software plug-in.". Department ofComputer Science and Engineering395 Dreese Laboratories2015 Neil AvenueColumbus, OH 43210-1277(614) 292-5813 Phone(614) 292-2911 Fax. Support CSE. Invest in a Buckeye. Your gift will make a difference.. Connect. facebookyoutube. 2019 The Ohio State UniversityAccessibilityPrivacy PolicyHelpLogin. diff --git a/src/data/compiled_bios/4055.txt b/src/data/compiled_bios/4055.txt new file mode 100644 index 0000000000..456e496222 --- /dev/null +++ b/src/data/compiled_bios/4055.txt @@ -0,0 +1 @@ +Tamal Dey. Professor, Mathematics. Professor, Computer Science & Engineering. Interim Chairperson, Computer Science & Engineering. 483 Dreese Laboratories. 2015 Neil Ave. Columbus,. OH. 43210. 614-292-3563. dey.8@osu.edu. http://web.cse.ohio-state.edu/~tamaldey. Honors. January, 2010. Lumley Research Award.. Books2007. Dey, TK.. 2007.. "Curve and Surface Reconstruction: Algorithms with Mathematical Analysis.". Cambridge University Press.. Chapters2014. 2014.. Meshing piecewise smooth complexes.. In Encyclopedia of Algorithms,. 2014.. Smooth surface and volume meshing.. In Encyclopedia of Algorithms,. 2009. 2009.. "Delaunay mesh generation of three dimensional domains.". In Tessellations in the sciences: Virtues, techniques and applications of geometric tilings,. edited by R. van de Weygaert, G. Vegter, J. Ritzerveld, and V. Icke,. Journal Articles2015. Dey, TK; Fan, F; Wang, Y.,. 2015,. "Graph induced complex on point data.". Computational Geometry: Theory & Applications. doi:10.1016/j.comgeo.2015.04.003,. doi:10.1016/j.comgeo.2015.04.003 -. doi:10.1016/j.comgeo.2015.04.003.. 2014. Dey, TK; Fu, B; Wang, H; Wang, L,. 2014,. "Automatic posing of a meshed human model using point clouds.". Computers & Graphics. 46,. 14-24 -. 14-24.. 2013. Dey, TK; Wang, Y,. 2013,. "Reeb Graphs: Approximation and persistence.". Discrete & Computational Geometry. 49,. 46-73 -. 46-73.. 2012. Dey,T,K; Ge,X; Que,Q; Safa,I; Wang,L; Wang,Y,. 2012,. "Feature-Preserving Reconstruction of Singular Surfaces.". COMPUTER GRAPHICS FORUM. 31,. no. 5,. 1787-1796 -. 1787-1796.. 2011. T. K. Dey, K. Li, C. Luo, P. Ranjan, I. Safa, and Y. Wang,. 2011,. "Persistent heat signature for pose-oblivious matching of incomplete models.". Computer Graphics Forum. 29,. no. 5,. 1545-1554 -. 1545-1554.. T. K. Dey, A. Hirani, and B. Krishnamoorthy,. 2011,. "Optimal homologous cycles, total unimodularity, and linear programming.". SIAM Journal Computing. Dey, Tamal, Sun, Jian, Wang, Yusu,. 2011,. "Approximating cycles in a shortest basis of the first homology group from point data.". Inverse Problems. 27,. no. 12,. 124004 -. 124004.. Dey,Tamal,K; Sun,Jian; Wang,Yusu,. 2011,. "Approximating cycles in a shortest basis of the first homology group from point data.". INVERSE PROBLEMS. 27,. no. 12,. 124004 -. 124004.. 2010. O. Busaryev, T. K. Dey, and Y. Wang,. 2010,. "Tracking a generator by persistence.". Discrete Mathematics, Algorithms and Applications. 2,. no. 4,. 539-552 -. 539-552.. Dey,T,K; Levine,J,A; Slatton,A,. 2010,. "Localized Delaunay Refinement for Sampling and Meshing.". COMPUTER GRAPHICS FORUM. 29,. no. 5,. 1723-1732 -. 1723-1732.. T. K. Dey, G. Li, and T. Ray,. 2010,. "Polygonal surface remeshing with Delaunay refinement.". Engineering with Computers. 26,. no. 3,. 289-301 -. 289-301.. T. K. Dey, J. A. Levine, and A. G. Slatton,. 2010,. "Localized Delaunay refinement for sampling and meshing.". Computer Graphics Forum. 29,. no. 5,. 1723-1732 -. 1723-1732.. 2009. T. K. Dey, K. Li, E. Ramos, and R. Wenger,. 2009,. "Isotopic reconstruction of surfaces with boundaries.". Computer Graphics Forum. 28,. 1371-1382 -. 1371-1382.. 2006. Dey,Tamal,K; Goswami,Samrat,. 2006,. "Provable surface reconstruction from noisy samples.". COMPUTATIONAL GEOMETRY-THEORY AND APPLICATIONS. 35,. no. 1-2,. 124-141 -. 124-141.. 1994. Dey,T,K; Edelsbrunner,H,. 1994,. "COUNTING TRIANGLE CROSSINGS AND HALVING PLANES.". DISCRETE & COMPUTATIONAL GEOMETRY. 12,. no. 3,. 281-289 -. 281-289.. Unknown. Dey, TK; Shi, D; Wang, Y.,. Comparing Graphs via Persistence Distortion.. CORR (to appear in SOCG 2015). Buchet, M; Chazal, F; Dey, TK; Fan, F; Oudot, S; Wang, Y.,. "Topological analysis of scalar fields with outliers.". CORR (to appear in SOCG 2015). Presentations. "Invited speaker: Convergence, stability, and discrete approximation of Laplace spectra.". 2010,. Presented at 2010 Barett memorial lectures on Discrete Differential Geometry, U. of Tennessee,. "Delaunay mesh generation of surfaces and volumes.". 2010,. Presented at Isogeometry analysis at 16th US National Congress on Theoretical and Applied Mechanics,. "Delaunay mesh generation of surfaces and volumes.". 2009,. Presented at Tutorial at U. of Aachen, Germany,. "Repairing and meshing imperfect shapes with Delaunay refinement.". 2009,. Presented at ACM Symposium on Solid Modeling,. "Invited speaker: Isotopic surface reconstruction in presence of boundaries.". 2009,. Presented at Mini-symposium on Topologically Robust Computation for Geometric Modeling,. Papers in Proceedings2016. Dey, T.K.; Mmoli, F.; Wang, Y.. "Multiscale Mapper: Topological summarization via codomain covers.". (1. 2016).. Dey, TK; Memoli, F; Wang, Y.. Multiscale Mapper: Topological summarization via codomain covers.. http://dx.doi.org/10.1137/1.9781611974331.ch71,. (1. 2016).. 2015. Dey, TK; Shi, D; Wang, Y.. "Comparing graphs via persistence distortion.". (6. 2015).. 2014. Dey, TK; Fan, F; Wang, Y.. "Computing topological persistence for simplicial maps.". in 30th Annu. Sympos. Comput. Geom. (2014)... (6. 2014).. Dey, TK; Fan, F; Wang, Y.. "Dimension Detection with Local Homology.". (9. 2014).. 2013. Boissonnat, J.D.; Dey, T.K.; Maria, C.. "The compressed annotation matrix: An efficient data structure for computing persistent cohomology.". (9. 2013).. Busaryev, O.; Dey, T.K.; Wang, H.. "Adaptive fracture simulation of multi-layered thin plates.". (7. 2013).. Dey, T.K.; Slatton, A.G.. "Localized delaunay refinement for piecewise-smooth complexes.". (7. 2013).. Dey, T.K.; Fan, F.; Wang, Y.. "Graph induced complex on point data.". (7. 2013).. Busaryev, O.; Dey, T.K.; Wang, H.. "Adaptive fracture simulation of multi-layered thin plates.". (7. 2013).. Dey, TK; Slatton, A;. "Localized delaunay refinement for piecewise-smooth complexes.". in SoCG 2013:Twenty-ninth annual symposium on Computational geometry.. (6. 2013).. Dey, T.K.; Wang, Y.. "Reeb Graphs: Approximation and Persistence.". (1. 2013).. Dey, TK; Fan, F; Wang, Y;. "An efficient computation of handle and tunnel loops via Reeb graphs.". in SIGGRAPH 2013.. (7. 2013).. Dey, TK; Fan, F; Wang, Y;. "Graph induced complex on point data.". in SoCG 2013:Twenty-ninth annual symposium on Computational Geometry.. (6. 2013).. Dey, T.K.; Fan, F.; Wang, Y.. "An efficient computation of handle and tunnel loops via Reeb graphs.". (7. 2013).. Dey, TK; Ranjan, P; Wang, Y. "Weighted Graph Laplace Operator under Topological Noise.". in ACM-SIAM Symposium on Discrete Algorithms (SODA).. (1. 2013).. Busaryev, O; Dey, TK; Wang, H;. "Adaptive fracture simulation of multi-layered thin plates.". in SIGGRAPH 2013.. (7. 2013).. Boissonnat,J-D; Dey, TK; Maria, C;. "The Compressed Annotation Matrix: An Efficient Data Structure for Computing Persistent Cohomology.". in European Symposium on Algorithms.. (9. 2013).. 2012. Dey, TK; Ge, X; Que, Q; Safa, I; Wang, L; Wang, Y. "Feature-preserving reconstruction of singular surfaces.". in Eurographics Symposium on Geometry Processing.. (6. 2012).. Dey, T.K.; Ge, X.; Que, Q.; Safa, I. et al.. "Feature-preserving reconstruction of singular surfaces.". (1. 2012).. Busaryev, O; Dey, TK; Wang, H; Zhong, R. "Animating bubble intercations in a liquid foam.". in SIGGRAPH 2012.. (8. 2012).. Dey, T.K.; Ge, X.; Que, Q.; Safa, I. et al.. "Feature-Preserving Reconstruction of Singular Surfaces.". (8. 2012).. Dey, T.K.; Ge, X.; Que, Q.; Safa, I. et al.. "Feature-Preserving Reconstruction of Singular Surfaces.". (8. 2012).. Busaryev, O.; Dey, T.K.; Wang, H.; Ren, Z.. "Animating bubble interactions in a liquid foam.". (7. 2012).. Dey, T.K.; Ge, X.; Que, Q.; Safa, I. et al.. "Feature-preserving reconstruction of singular surfaces.". (12. 2012).. Busaryev, O.; Dey, T.K.; Wang, H.; Reny, Z.. "Animating bubble interactions in a liquid foam.". (7. 2012).. 2011. T. K. Dey, R. Dyer, and L. Wang. "Localized Cocone surface reconstruction.". in Solid Modeling International (SMI 11).. (6. 2011).. Dey,Tamal,K; Wang,Yusu. "Reeb Graphs: Approximation and Persistence.". in 27th Annual ACM Symposium on Computational Geometry.. (6. 2011).. Dey, T.K.; Dyer, R.; Wang, L.. "Localized Cocone surface reconstruction.". (6. 2011).. 2010. Dey,Tamal,K; Sun,Jian; Wang,Yusu. "Approximating Loops in a Shortest Homology Basis from Point Data.". in 26th Annual Symposium on Computational Geometry.. (6. 2010).. Dey,Tamal,K; Hirani,Anil,N; Krishnamoorthy,Bala. "Optimal Homologous Cycles, Total Unimodularity, and Linear Programming.". in 42nd ACM Symposium on Theory of Computing.. (6. 2010).. O. Busaryev, T. K. Dey, and Y. Wang. "Tracking a generator by persistence.". in 16th Annual International Computing and Combinatorics Conference (COCOON).. (8. 2010).. Dey, T.K.; Ranjan, P.; Wang, Y.. "Convergence, stability, and discrete approximation of laplace spectra.". (5. 2010).. Dey,Tamal,K; Ray,Tathagata. "Polygonal surface remeshing with Delaunay refinement.". in 14th International Meshing Roundtable.. (6. 2010).. Dey,Tamal,K; Ranjan,Pawas; Wang,Yusu. "Convergence, Stability, and Discrete Approximation of Laplace Spectra.". in 21st Annual ACM/SIAM Symposium on Discrete Algorithms.. (1. 2010).. Dey, T.K.; Levine, J.A.; Slatton, A.. "Localized Delaunay Refinement for Sampling and Meshing.". (7. 2010).. Dey, T.K.; Levine, J.A.; Slatton, A.. "Localized Delaunay Refinement for Sampling and Meshing.". (7. 2010).. Dey, T.K.; Ranjan, P.; Wang, Y.. "Convergence, Stability, and Discrete Approximation of Laplace Spectra.". in 21st Annual ACM/SIAM Symposium on Discrete Algorithms.. (1. 2010).. Dey, T.K.; Ranjan, P.; Wang, Y.; SIAM, A.C.M.. "Convergence, Stability, and Discrete Approximation of Laplace Spectra.". (1. 2010).. T. K. Dey, C. Luo, P. Ranjan, I. Safa, and Y. Wang. "Persistent heat signature for pose-oblivious matching of incomplete models.". in Eurographics Symposium on Geometry Processing.. (7. 2010).. Busaryev, O.; Dey, T.K.; Wang, Y.. "Tracking a generator by persistence.". (8. 2010).. Dey, T.K.; Levine, J.A.; Slatton, A.. "Localized Delaunay refinement for sampling and meshing.". (7. 2010).. Busaryev,Oleksiy; Dey,Tamal,K; Wang,Yusu. "Tracking a Generator by Persistence.". in 16th Annual International Computing and Combinatorics Conference.. (1. 2010).. Dey, T.K.; Levine, J.A.; Slatton, A.. "Localized delaunay refinement for sampling and meshing.". (12. 2010).. Dey, T.K.; Ray, T.. "Polygonal surface remeshing with Delaunay refinement.". (6. 2010).. Dey, T.K.; Hirani, A.N.; Krishnamoorthy, B.. "Optimal homologous cycles, total unimodularity, and linear programming.". (7. 2010).. T. K. Dey, J. A. Levine, and A. Slatton. "Localized Delaunay refinement for sampling and meshing.". in Eurographics Symposium on Geometry Processing (SGP 10).. (7. 2010).. 2009. Dey,Tamal,K; Li,Kuiyu. "Cut Locus and Topology from Surface Point Data.". in 25th Annual Symposium on Computational Geometry.. (1. 2009).. Dey,Tamal,K; Li,Kuiyu; Ramos,Edgar,A; Wenger,Rephael. "Isotopic Reconstruction of Surfaces with Boundaries.". in 7th Eurographics Symposium on Geometry Processing (SGP).. (7. 2009).. Dey, T.K.; Li, K.. "Persistence-based handle and tunnel loops computation revisited for speed up.". (6. 2009).. Dey, T.K.; Li, K.. "Cut locus and topology from surface point data.". (12. 2009).. Busaryev, O.; Dey, T.K.; Levine, J.A.. "Repairing and meshing imperfect shapes with delaunay refinement.". (11. 2009).. Dey, T.K.; Li, K.; Ramos, E.A.; WengeR, R.. "Isotopic Reconstruction of Surfaces with Boundaries.". (7. 2009).. Dey, T.K.; Li, K.; Sun, J.. "Computing handle and tunnel loops with knot linking.". (10. 2009).. Dey,Tamal,K; Li,Kuiyu; Sun,Jian. "Computing handle and tunnel loops with knot linking.". in Workshop on New Advances in Shape Analysis and Geometric Modeling.. (10. 2009).. Cheng,Siu-Wing; Dey,Tamal,K; Levine,Joshua. "Theory of a Practical Delaunay Meshing Algorithm for a Large Class of Domains.". in 2nd International Conference on Information Systems Security.. (1. 2009).. O. Busaryev, T. K. Dey, and J. A. Levine. "Repairing and meshing imperfect shapes with Delaunay refinement.". in ACM Symposium on Solid and Physical Modeling.. (10. 2009).. Dey,Tamal,K; Li,Kuiyu. "Persistence-based handle and tunnel loops computation revisited for speed up.". in IEEE International Conference on Shape Modeling and Applications.. (6. 2009).. 2008. Dey, T.K.; Li, K.; Sun, J.; Cohen-Steiner, D.. "Computing geometry-aware handle and tunnel loops in 3D models.". (8. 2008).. Dey, T.K.; Levine, J.A.. "Delaunay meshing of isosurfaces.". (6. 2008).. Dey,Tamal,K; Levine,Joshua,A. "Delaunay meshing of isosurfaces.". in 9th International Conference on Shape Modeling and Applications.. (6. 2008).. Dey,Tamal,K; Giesen,Joachim; Ramos,Edgar,A; Sadri,Bardia. "Critical points of distance to an epsilon-sampling of a surface and flow-complex-based surface reconstruction.". in 21st Annual Symposium on Computational Geometry.. (4. 2008).. Cheng,Siu-Wing; Dey,Tamal,K. "Maintaining Deforming Surface Meshes.". in 19th ACM-SIAM Symposium on Discrete Algorithms.. (1. 2008).. Dey,Tamal,K; Li,Kuiyu; Sun,Jian; Cohen-Steiner,David. "Computing geometry-aware handle and tunnel loops in 3D models.". in ACM SIGGRAPH Conference 2008.. (8. 2008).. Cheng, S.W.; Dey, T.K.. "Maintaining deforming surface meshes.". (12. 2008).. 2007. Dey,Tamal,K; Li,Kuiyu; Sun,Jian. "On computing handle and tunnel loops.". in International Conference on Cyberworlds.. (1. 2007).. Cheng,Siu-Wing; Dey,Tamal,K; Ramos,Edgar,A. "Delaunay Refinement for Piecewise Smooth Complexes.". in 18th ACM-SIAM Symposium on Discrete Algorithms.. (1. 2007).. Dey,Tamal,K; Levine,Joshua,A; Wenger,Rephael. "A Delaunay simplification algorithm for vector fields.". in 15th Pacific Conference on Computer Graphics and Applications (Pacific Graphics 2007).. (1. 2007).. Dey,Tamal,K; Levine,Joshua,A. "Delaunay meshing of isosurfaces.". in 9th International Conference on Shape Modeling and Applications.. (1. 2007).. Cheng, S.W.; Dey, T.K.; Ramos, E.A.. "Delaunay refinement for piecewise smooth complexes.". (1. 2007).. Dey, T.K.; Giesen, J.; Goswami, S.. "Delaunay triangulations approximate anchor hulls.". (2. 2007).. 2006. Dey, T.K.; Goswami, S.. "Provable surface reconstruction from noisy samples.". (8. 2006).. Cheng, S.W.; Dey, T.K.; Ramos, E.A.; Wenger, R.. "Anisotropic surface meshing.". (2. 2006).. Dey, T.K.; Sun, J.. "Normal and feature approximations from noisy point clouds.". (1. 2006).. Dey,Tamal,K; Sun,Jian. "Normal and feature approximations from noisy point clouds.". in 26th International Conference on Foundations of Software Technology and Theoretical Computer Science.. (1. 2006).. Dey,Tamal,K; Goswami,Samrat. "Provable surface reconstruction from noisy samples.". in 20th ACM Symposium on Computational Geometry.. (8. 2006).. Cheng,Siu-Wing; Dey,Tamal,K; Ramos,Edgar,A; Wenger,Rephael. "Anisotropic Surface Meshing.". in 17th ACM-SIAM Symposium on Discrete Algorithms.. (1. 2006).. 2005. Dey,T,K; Li,G; Ray,T. "Polygonal surface remeshing with Delaunay refinement.". in 14th International Meshing Roundtable.. (1. 2005).. Dey, T.K.; Ramqs, E.A.; Giesen, J.; Sadri, B.. "Critical points of the distance to an epsilon-sampling of a surface and flow-complex-based surface reconstruction.". (12. 2005).. Cheng, S.W.; Dey, T.K.; Ramos, E.A.; Ray, T.. "Quality meshing of polyhedra with small angles.". (8. 2005).. Cheng,S,W; Dey,T,K; Ramos,E,A; Ray,T. "Quality meshing of polyhedra with small angles.". in 20th ACM Symposium on Computational Geometry.. (8. 2005).. Dey,Tamal,K; Giesen,Joachim; Goswami,Samrat. "Delaunay Triangulations Approximate Anchor Hulls.". in 16th Annual ACM-SIAM Symposium on Discrete Algorithms.. (1. 2005).. Cheng,Siu-Wing; Dey,Tamal,K; Ramos,Edgar,A. "Manifold Reconstruction from Point Samples.". in 16th Annual ACM-SIAM Symposium on Discrete Algorithms.. (1. 2005).. Cheng, S.W.; Dey, T.K.; Ray, T.. "Weighted delaunay refinement for polyhedra with small angles.". (12. 2005).. Cheng, S.W.; Dey, T.K.; Ramos, E.A.. "Manifold reconstruction from point samples.". (7. 2005).. Cheng,S,W; Dey,T,K; Ray,T. "Weighted Delaunay refinement for polyhedra with small angles.". in 14th International Meshing Roundtable.. (1. 2005).. Dey, T.K.; Li, G.; Ray, T.. "Polygonal surface remeshing with delaunay refinement.". (12. 2005).. 2004. Dey,T,K; Zhao,W,L. "Approximate medial axis as a Voronoi subcomplex.". in 7th ACM SIGGRAPH Conference on Solid Modeling and Its Applications.. (2. 2004).. Dey, T.K.; Goswami, S.. "Provable surface reconstruction from noisy samples.". (9. 2004).. Dey, T.K.; Zho, W.. "Approximate medial axis as a Voronoi subcomplex.". (2. 2004).. 2003. Dey, T.K.; Giesen, J.; Goswami, S.. "Shape segmentation and matching with flow discretization.". (12. 2003).. Dey,T,K; Giesen,J; Goswami,S. "Shape segmentation and matching with flow discretization.". in 8th International Workshop on Algorithms and Data Structures (WADS 2003).. (1. 2003).. Dey, T.K.; Goswami, S.. "Tight Cocone: A water-tight surface reconstructor.". (7. 2003).. Dey, T, K; Goswami, S. "Tight cocone: a water-tight surface reconstructor.". in Proceedings of the eighth ACM symposium on Solid modeling and applications.. (6. 2003).. 2002. Cheng,S,W; Dey,T,K; Poon,S,H. "Hierarchy of surface models and irreducible triangulation.". in 13th International Symposium on Algorithms and Computation.. (1. 2002).. Amenta,N; Choi,S; Dey,T,K; Leekha,N. "A simple algorithm for homeomorphic surface reconstruction.". in 16th Annual Symposium on Computational Geometry.. (2. 2002).. Cheng,S,W; Dey,T,K. "Quality meshing with weighted Delaunay refinement.". in 13th Annual ACM/SIAM Symposium on Discrete Algorithms.. (1. 2002).. Dey,T,K; Giesen,J; Goswami,S; Zhao,W,L. "Shape dimension and approximation from samples.". in 13th Annual ACM/SIAM Symposium on Discrete Algorithms.. (1. 2002).. Dey, T.K.; Giesen, J.; Goswami, S.; Zhao, W.. "Shape dimension and approximation from samples.". (1. 2002).. Dey, T.K.; Hudson, J.. "PMR: Point to mesh rendering, a feature-based approach.". (1. 2002).. Cheng, S.W.; Dey, T.K.. "Quality meshing with weighted Delaunay refinement.". (1. 2002).. Dey, T.K.; Zhao, W.. "Approximating the medial axis from the voronoi diagram with a convergence guarantee.". (1. 2002).. Cheng, S.W.; Dey, T.K.; Poon, S.H.. "Hierarchy of surface models and irreducible triangulation.". (12. 2002).. Dey,T,K; Zhao,W,L. "Approximating the medial axis from the Voronoi diagram with a convergence guarantee.". in 10th Annual European Symposium on Algorithms (ESA 2002).. (1. 2002).. Dey,T,K; Hudson,J. "PMR: Point to mesh rendering, a feature-based approach.". in IEEE Visualization 2002 Conference.. (1. 2002).. 2001. Dey, T.K.; Giesen, J.; Hudson, J.. "Delaunay based shape reconstruction from large data.". (1. 2001).. Dey, T.K.; Giesen, J.; Goswami, S.; Hudson, J. et al.. "Undersampling and oversampling in sample based shape modeling.". (1. 2001).. Dey,T,K; Giesen,J; Hudson,J. "Delaunay based shape reconstruction from large data.". in IEEE Symposium on Parallel and Large-Data Visualization and Graphics.. (1. 2001).. Dey,T,K; Giesen,J; Goswami,S; Hudson,J; Wenger,R; Zhao,W. "Undersampling and oversampling in sample based shape modeling.". in IEEE Visualization Conference.. (1. 2001).. 2000. Amenta, N.; Choi, S.; Dey, T.K.; Leekha, N.. "Simple algorithm for homeomorphic surface reconstruction.". (1. 2000).. 1999. Dey, T, K; Kumar, P. "A simple provable algorithm for curve reconstruction.". in Tenth Annual ACM-SIAM Symposium on Discrete Algorithms.. (1. 1999).. Unknown. Dey, TK; Fan, F; Wang, Y. "An efficient computation of handle and tunnel loops via Reeb graphs.". in SIGGRAPH 2013.. Dey, TK, Ranjan, P, Wang Y.. "Eigen Deformation of 3D Models.". in Computer Grapics International (CGI) 2012.. Department ofComputer Science and Engineering395 Dreese Laboratories2015 Neil AvenueColumbus, OH 43210-1277(614) 292-5813 Phone(614) 292-2911 Fax. Support CSE. Invest in a Buckeye. Your gift will make a difference.. Connect. facebookyoutube. 2019 The Ohio State UniversityAccessibilityPrivacy PolicyHelpLogin. diff --git a/src/data/compiled_bios/4056.txt b/src/data/compiled_bios/4056.txt new file mode 100644 index 0000000000..cba489587f --- /dev/null +++ b/src/data/compiled_bios/4056.txt @@ -0,0 +1 @@ +Eric Fosler-Lussier. Professor, SBS-Biomedical Informatics. Courtesy Professor, Linguistics. Professor, Computer Science & Engineering. 585 Dreese Laboratories. 2015 Neil Ave. Columbus,. OH. 43210. 614-292-4890. fosler-lussier.1@osu.edu. http://web.cse.ohio-state.edu/~fosler. Honors. August, 2014. Watson Faculty Award.. December, 2011. Top 3 Paper in Acoustic Modeling for paper R. Prabhavalkar*, E. Fosler-Lussier, and K. Livescu, "A Factored Conditional Random Field Model for Articulatory Feature Forced Transcription".. May, 2011. Faculty Teaching Award.. May, 2010. Lumley Research Award.. March, 2010. IEEE Signal Processing Society Best Paper Award.. January, 2007. Faculty Early Development (CAREER) Award.. January, 2005. Senior Member.. August, 1999. Best Student Paper, Eurospeech Conference.. Edited Books2012. E. Fosler-Lussier, E. Riloff, and S. Bangalore.. 2012.. "Proceedings of the 2012 Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies Conference.". Association for Computational Linguistics.. 2002. [].. 2002.. "Proceedings of the ISCA Tutorial and Research Workshop on Pronunciation Modeling and Lexicon Adaptation in Spoken Language Technology.". International Speech Communication Association.. Chapters2011. 2011.. "Linguistic Categories for Speech Recognition (revised).". In Speech and Audio Signal Processing: Processing and Perception of Speech and Music,. 2003. 2003.. "A Tutorial on Pronunciation Modeling for Large Vocabulary Speech Recognition.". In Text and Speech Triggered Information Access,. edited by S. Renals and G. Grefenstette,. 1999. 1999.. "Linguistic Categories for Speech Recognition.". In Speech and Audio Signal Processing: Processing and Perception of Speech and Music,. Journal Articles2016. K. Livescu, P. Jyothi*, E. Fosler-Lussier,. 2016,. "Articulatory Feature-Based Pronunciation Modeling.". Computer Speech & Language. 36,. 212-232 -. 212-232.. 2015. C. Shivade*, P. Malewadkar, E. Fosler-Lussier, and A. Lai.,. 2015,. "Comparison of UMLS Terminologies to Identify Risk of Heart Disease in Clinical Notes.". Journal of Biomedical Informatics. 58,. no. Supplement,. S103-S110 -. S103-S110.. C. Shivade*, C. Hebert, M. Lopetegui, M.C. de Marneffe, E. Fosler-Lussier, A. Lai,. 2015,. "Towards Textual Inference for Eligibility Criteria Resolution in Clinical Trials.". Journal of Biomedical Informatics. 58,. no. Supplement,. S211-S218 -. S211-S218.. Y. He*, P. Baumann^, H. Fang^, B. Hutchinson, A. Jaech^, M. Ostendorf, E. Fosler-Lussier, and J. Pierrehumbert,. 2015,. "Morphology-based Subword Modeling for Handling OOV Words in Keyword Search.". IEEE/ACM Transactions on Audio, Speech, and Language Processing. 24,. no. 1,. 79-92 -. 79-92.. 2013. E. Fosler-Lussier, Y. He*, P. Jyothi*, and R. Prabhavalkar*,. 2013,. "Conditional Random Fields in Speech, Audio, and Language Processing.". Proceedings of the IEEE. 101,. no. 5,. 1054 -. 1054.. W. Hartmann*, A. Narayanan***, E. Fosler-Lussier, and D. Wang,. 2013,. "A Direct Masking Approach to Robust ASR.". IEEE Transactions on Acoustics, Speech, and Language Processing. 21,. no. 10,. 1993-2005 -. 1993-2005.. 2012. K. Livescu, E. Fosler-Lussier, and F. Metze,. 2012,. "Subword Modeling for Automatic Speech Recognition: Past, Present, and Emerging Approaches.". Signal Processing Magazine, IEEE. 29,. no. 6,. 44-57 -. 44-57.. M. Gales, S. Watanabe, and E. Fosler-Lussier,. 2012,. Structured Discriminative Models For Speech Recognition: An Overview.. Signal Processing Magazine, IEEE. 29,. no. 6,. 70 -. 70.. 2010. C. A. Rytting**, C. Brew, and E. Fosler-Lussier,. 2010,. "Segmenting words from natural speech: subsegmental variation in segmental cues.". Journal of Child Language. 37,. no. 3,. 513-543 -. 513-543.. 2009. I. Heintz**, E. Fosler-Lussier, and C. Brew,. 2009,. Discriminative Input Stream Combination for Conditional Random Field Phone Recognition.. IEEE Transactions on Audio, Speech, and Language Processing. 17,. no. 8,. 1533-1546 -. 1533-1546.. 2008. J. Morris* and E. Fosler-Lussier,. 2008,. Conditional Random Fields for Integrating Local Discriminative Classifiers.. IEEE Transactions on Audio, Speech, and Language Processing. 16,. no. 3,. 617-628 -. 617-628.. 2007. E. Ammicht, E. Fosler-Lussier, and A. Potamianos,. 2007,. Information Seeking Spoken Dialogue Systems -- Part I: Semantics and Pragmatics.. IEEE Transactions on Multimedia. 9,. no. 3,. 532-549 -. 532-549.. A. Potamianos, E. Fosler-Lussier, E. Ammicht, and M. Perakakis,. 2007,. Information Seeking Spoken Dialogue Systems -- Part II: Multimodal Dialogue.. IEEE Transactions on Multimedia. 9,. no. 3,. 550-566 -. 550-566.. 2005. E. Fosler-Lussier, W. Byrne, and D. Jurafsky, eds.,. 2005,. Editorial, Special Issue on Pronunciation Modeling and Lexicon Adaptation.. Speech Communication. 46,. no. 2,. 117-118 -. 117-118.. E. Fosler-Lussier, I. Amdal^, and H.-K. J. Kuo,. 2005,. A Framework for Predicting Speech Recognition Errors.. Speech Communication. 46,. no. 2,. 153-170 -. 153-170.. 2004. A. Pargellis, E. Fosler-Lussier, C.-H. Lee, A. Potamianos, and A. Tsai,. 2004,. Auto-induced Semantic Classes.. Speech Communication. 43,. no. 3,. 183-203 -. 183-203.. 2003. A. Bell, D. Jurafsky, E. Fosler-Lussier, C. Girand, M. Gregory, and D. Gildea,. 2003,. Effects of disfluencies, predictability, and utterance position on word form variation in English conversation.. Journal of the Acoustical Society of America. 113,. no. 2,. 1001-1024 -. 1001-1024.. I. Amdal^ and E. Fosler-Lussier,. 2003,. Pronunciation Variation Modeling in Automatic Speech Recognition.. Telektronikk. 2003,. no. 2,. 70-82 -. 70-82.. 1999. E. Fosler-Lussier and N. Morgan,. 1999,. Effects of Speaking Rate and Word Predictability on Conversational Pronunciations.. Speech Communication. 29,. no. 2-4,. 137-158 -. 137-158.. Presentations. "Integrating evidence over time: a look at conditional models for speech and audio processing.". 2010,. Presented at Acoustical Society of America,. "Pronunciation variation as a problem for lexical representation.". 2006,. Presented at Symposium on Phonetic Variation: What Does It Mean to Speakers and Listeners, Linguistic Society of America annual meeting,. "Integrating evidence over time: a look at conditional models for speech and audio processing.". 2010,. Presented at Buckeye Language Network Colloquium,. "Integrating speech science and technology: New models for speech and audio processing.". 2011,. Presented at University of Southern California,. "Statistical Learning for Integrating Linguistic Insights in Automatic and Human Speech Recognition Models.". 2009,. Presented at Department of Statistics Seminar, The Ohio State University,. "NSF CISE CAREER Workshop.". 2013,. Presented at NSF CISE CAREER Workshop,. "What speech technology can bring to information theory and phonology.". 2006,. Presented at Symposium on Information Theory and Phonology, Linguistic Society of America annual meeting,. "Knowledge Integration in ASR.". 2003,. Presented at NSF Symposium on Next Generation Automatic Speech Recognition,. "Underspecified Feature Models for Pronunciation Variation in ASR.". 2006,. Presented at International Speech Communication Association (ISCA) Tutorial and Research Workshop on Speech Recognition and Intrinsic Variation. Keynote talk,. "Underspecified Feature Models for Pronunciation Variation in ASR.". 2006,. Presented at Johns Hopkins University Summer School on Human Language Technology (supported by NSF and NAACL),. "Integrating Statistics and Linguistics to Improve Models of Human and Computer Speech Recognition.". 2008,. Presented at 14th Annual Coalition for National Science Funding,. "Underspecified Feature Models for Pronunciation Variation in ASR.". 2008,. Presented at Cognitive Science Proseminar (Psych 737), The Ohio State University,. "Underspecified Feature Models for Pronunciation Variation in ASR.". 2008,. Presented at Johns Hopkins University Summer School on Human Language Technology (supported by the National Science Foundation and North American Association for Computational Linguistics),. "Linguistically-Informed Speech Recognition: Prospects for Statistical Models that use the Internal Structure of Words.". 2007,. Presented at Ohio Language Network Spring Symposium,. "Handling Uncertainty and Ambiguity in Spoken Language Technology.". 2007,. Presented at Dept. of Industrial, Welding, and Systems Engineering Seminar,. "Integrating Evidence Over Time: A Look at Conditional Models for Speech and Audio Processing.". 2009,. Presented at Center for Language and Speech Processing Seminar, The Johns Hopkins University,. "Exploring richer sequence models in speech and language processing.". 2012,. Presented at Microsoft Research Seminar Series,. "Deep learning and big data in spoken language technology: past, current, and the future.". 2014,. Presented at IEEE Workshop on Spoken Language Technologies,. "Beyond the linear chain: Explorations of structured discriminative models for automatic speech recognition.". 2015,. Presented at Northwestern Polytechnical University,. "A Tutorial for Pronunciation Modeling for Automatic Speech Recognition.". 2000,. Presented at European Network in Human Language Technologies (ELSNET) 2000 Summer School,. "Bridging the Gap Between Human and Automatic Speech Processing.". 2005,. Presented at Interspeech,. "Integrating evidence over time: a look at conditional models for speech and audio processingspeech and audio processing.". 2009,. Presented at IBM Research Seminar,. "Integrating speech science and technology: New models for speech and audio processing.". 2011,. Presented at Institute for Research in Cognitive Science, University of Pennsylvania,. "Integrating speech science and technology: New models for speech and audio processing.". 2011,. Presented at Carnegie Mellon Univeristy LTI Seminar,. "Integrating speech science and technology: New models for speech and audio processing.". 2011,. Presented at Oregon Health and Science University,. "Finite State Methods for Automatic Speech Recognition.". 2004,. Presented at Johns Hopkins University Summer School on Human Language Technology (supported by NSF and NAACL),. "Confusion Rains: Predicting Errors Made by Automatic Speech Recognition Systems.". 2004,. Presented at CogFest,. "Embracing Ignorance in Speech Recognition: Knowing When it's OK Not to Know the Answer.". 2005,. Presented at Dept. of Electrical and Computer Engineering Information Processing Systems Seminar,. Papers in Proceedings2016. Chaitanya Shivade, Marie-Catherine de Marneffe, Eric Fosler-Lussier and Albert M. Lai. "Identification, characterization, and grounding of gradable terms in clinical text.". in Workshop on Biomedical Natural Language Processing.. (8. 2016).. Griffis, D.; Shivade, C.; Fosler-Lussier, E.; Lai, A.M.. "A Quantitative and Qualitative Evaluation of Sentence Boundary Detection for the Clinical Domain..". (1. 2016).. Griffis, D.; Shivade, C.; Fosler-Lussier, E.; Lai, A.M.. "A Quantitative and Qualitative Evaluation of Sentence Boundary Detection for the Clinical Domain..". (1. 2016).. C Shivade, A.M.L.. "Identification, characterization, and grounding of gradable terms in clinical text.". (1. 2016).. JK Kim, E.F-L.. "Adjusting Word Embeddings with Semantic Intensity Orders.". (1. 2016).. R Bates, E.M.P.. "Experiences with shared resources for research and education in speech and language processing.". (1. 2016).. Joo-Kyung Kim, Marie-Catherine de Marneffe and Eric Fosler-Lussier. "Adjusting Word Embeddings with Semantic Intensity Orders.". in Workshop on Representation Learning for NLP.. (8. 2016).. 2015. E. Jaffe***, W. Schuler, M. White, E. Fosler-Lussier, A. Rosenfeld^, and D. Danforth. "Interpreting Questions with a Log-Linear Ranking Model in a Virtual Patient Dialogue System.". (5. 2015).. C. Shivade*, M. C. de Marneffe, E. Fosler-Lussier, and A. Lai. "Corpus-based discovery of semantic intensity scales.". in North American Association for Computational Linguistics Annual Meeting (NAACL).. (5. 2015).. D. Griffis*, C. Shivade**, E. Fosler-Lussier, and A. M. Lai.. "A Quantitative and Qualitative Evaluation of Sentence Boundary Detection for the Clinical Domain.". in American Medical Informatics Association Clinical Research Informatics Meeting.. (9. 2015).. D. Bagchi*, M. Mandel, Z. Wang, Y. He*, A. Plummer and E. Fosler-Lussier. "Combining spectral feature mapping and multi-channel model-based source separation for noise-robust automatic speech recognition.". in IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU)... (12. 2015).. J. K. Kim*, M. C. de Marneffe, E. Fosler-Lussier. "Neural word embeddings with multiplicative feature interactions for tensor-based compositions.". (5. 2015).. Shivade, C.; Malewadkar, P.; Fosler-Lussier, E.; Lai, A.M.. "Comparison of UMLS terminologies to identify risk of heart disease using clinical notes.". (12. 2015).. Shivade, C.; De Marneffe, M.C.; Fosler-Lussier, E.; Lai, A.M.. "Corpus-based discovery of semantic intensity scales.". (1. 2015).. Shivade, C.; Malewadkar, P.; Fosler-Lussier, E.; Lai, A.M.. "Comparison of UMLS terminologies to identify risk of heart disease using clinical notes..". (12. 2015).. Shivade, C.; Malewadkar, P.; Fosler-Lussier, E.; Lai, A.M.. "Comparison of UMLS terminologies to identify risk of heart disease using clinical notes..". (12. 2015).. F. Metze, E. Riebling, E. Fosler-Lussier, A. Plummer, and R. Bates. "The Speech Recognition Virtual Kitchen Turns One.". in Interspeech (Show and Tell Session).. (9. 2015).. Y. He* and E. Fosler-Lussier.. "Segmental Conditional Random Fields with Deep Neural Networks as Acoustic Models for First-Pass Word Recognition.". in Interspeech.. (9. 2015).. Y. Ma*, P. Crook, R. Sarikaya, and E. Fosler-Lussier. "Knowledge Graph Inference for Spoken Dialog Systems.". in Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP).. (4. 2015).. C. Shivade*, M. C. de Marneffe, E. Fosler-Lussier, A. Lai. "Extending NegEx with Kernel Methods for Negation Detection in Clinical Text.". (5. 2015).. K. Han***, Y. He*, D. Bagchi*, E. Fosler-Lussier, and D. Wang. "Deep Neural Network Based Spectral Feature Mapping for Deep Neural Network Based Spectral Feature Mapping for Robust Speech Recognition.". in Interspeech.. (9. 2015).. B. Dorr, L. Galescu, I. Perera, K. Hollingshead-Seitz, D. Atkinson, M. Clark, W. Clancey, Y. Wilks, and E. Fosler-Lussier. "Speech Adaptation in Extended Ambient Intelligence Environments.". in Proc. of the Annual Conference of the Association for the Advancement of Artificial Intelligence.. (1. 2015).. 2014. H. Su^, J. Hieronymous, Y. He*, E. Fosler-Lussier and S. Wegmann. "Syllable Based Keyword Search: Transducing Syllable Lattices to Word Lattices.". in Proceedings of IEEE Workshop on Spoken Language Technology.. (12. 2014).. Raghavan, P.; Fosler-Lussier, E.; Elhadad, N.; Lai, A.M.. "Cross-narrative temporal ordering of medical events.". (1. 2014).. C. Shivade*, P. Malewadkar, E. Fosler-Lussier, and A. Lai. "Comparison of UMLS Terminologies to Identify Risk of Heart Disease in Clinical Notes.". in Seventh i2b2 Shared Task and Workshop: Challenges in Natural Language Processing for Clinical Data.. (11. 2014).. A. Plummer, E. Riebling, A. Kumar, F. Metze, E. Fosler-Lussier, R. Bates. "Speech Recognition Virtual Kitchen: Launch Party.". in Interspeech (Show and Tell Session).. (9. 2014).. C. Shivade*, C. Hebert, M. Lopetegui, M.C. de Marneffe, E. Fosler-Lussier, A. Lai. "Towards Textual Inference for Eligibility Criteria Resolution in Clinical Trials.". in Seventh i2b2 Shared Task and Workshop: Challenges in Natural Language Processing for Clinical Data.. (11. 2014).. Y. Ma* and E. Fosler-Lussier. "A Discriminative Sequence Model for Dialog State Tracking using User Goal Change Detection.". in Proceedings of IEEE Workshop on Spoken Language Technology.. (12. 2014).. Y. Ma* and E. Fosler-Lussier. "Detecting 'Request Alternatives' User Dialog Acts from Dialog Context.". in 5th International Workshop on Spoken Dialog Systems.. (1. 2014).. Su, H.; Hieronymus, J.; He, Y.; Fosler-Lussier, E. et al.. "SYLLABLE BASED KEYWORD SEARCH: TRANSDUCING SYLLABLE LATTICES TO WORD LATTICES.". (1. 2014).. Su, H.; Hieronymus, J.; He, Y.; Fosler-Lussier, E. et al.. "Syllable based keyword search: Transducing syllable lattices to word lattices.". (4. 2014).. Su, H.; Hieronymus, J.; He, Y.; Fosler-Lussier, E. et al.. "SYLLABLE BASED KEYWORD SEARCH: TRANSDUCING SYLLABLE LATTICES TO WORD LATTICES.". in IEEE Workshop on Spoken Language Technology (SLT 2014).. (1. 2014).. P. Raghavan**, J. Chen, E. Fosler-Lussier, and A. Lai. "How essential are unstructured clinical narratives and information fusion to clinical trial recruitment?.". in AMIA Joint Summits on Translational Science.. (4. 2014).. P. Raghavan, E. Fosler-Lussier, N. Elhadad, and A. Lai. "Cross-narrative Temporal Ordering of Medical Events.". in Association for Computational Linguistics Annual Meeting.. (6. 2014).. Y. He*, B. Hutchinson, P. Baumann^, M. Ostendorf, E. Fosler-Lussier, and J. Pierrehumbert. "Subword-based modeling for handling OOV words in keyword spotting.". in International Conference on Acoustics, Speech, and Signal Processing.. (5. 2014).. 2013. F. Metze, E. Fosler-Lussier, and R. Bates. "The Speech Recognition Virtual Kitchen.". in Interspeech.. (8. 2013).. P. Jyothi*, E. Fosler-Lussier, and K. Livescu. "Discriminative Training of WFST Factors with Application to Pronunciation Modeling.". in Interspeech.. (8. 2013).. R. Prabhavalkar*, K. Livescu, E. Fosler-Lussier, J. Keshet. "Discriminative Articulatory Models for Spoken Term Detection.". in Proc. ICASSP.. (5. 2013).. W. Chen***, E. Fosler-Lussier, N. Xiao, S. Raje***, R. Ramnath, and D. Sui. "A Synergistic Framework for Geographic Question Answering.". in Seventh IEEE International Conference on Semantic Computing.. (9. 2013).. 2012. Y. Ma*, R. Singh*, E. Fosler-Lussier and R. Lofthus. "Comparing human versus automatic feature extraction for fine-grained elementary readability assessment.". in Proceedings of the First Workshop on Predicting and Improving Text Readability for target reader populations.. (6. 2012).. Y. Ma*, E. Fosler-Lussier and R. Lofthus. "Ranking-based readability assessment for early primary children's literature.". in Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.. (6. 2012).. W. Hartmann*, and E. Fosler-Lussier. ASR-driven top-down binary mask estimation using spectral priors.. in Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on.. http://dx.doi.org/10.1109/ICASSP.2012.6288964,. (3. 2012).. E. Iosif^, M. Giannoudaki^, E. Fosler-Lussier, and A. Potamianos. "Associative and Semantic Features Extracted From Web-Harvested Corpora.". in Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC'12).. (5. 2012).. P. Raghavan**, E. Fosler-Lussier and A. Lai. "Exploring semi-supervised coreference resolution of medical concepts using semantic and temporal features.". in Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.. (6. 2012).. Y. He* and E. Fosler-Lussier. "Efficient Segmental Conditional Random Fields for Phone Recognition.". in Proc. Interspeech.. (1. 2012).. E. Fosler-Lussier, E. Riloff and S. Bangalore. "Proceedings of the North American Association for Computational Linguistics Annual Meeting: Human Language Technologies Conference.". in North American Association for Computational Linguistics Annual Meeting: Human Language Technologies Conference.. 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"Why Is ASR Harder For Fast Speech and What Can We Do About It?.". in Proceedings of the IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU '95).. (1. 1995).. D. Jurafsky, C. Wooters, J. Segal, A. Stolcke, E. Fosler, G. Tajchman, and N. Morgan. Using A Stochastic Context-Free Grammar as a Language Model for Speech Recognition.. in International Conference on Acoustic, Speech, and Signal Processing (ICASSP-95).. http://dx.doi.org/10.1109/ICASSP.1995.479396,. (1. 1995).. G. Tajchman, D. Jurafsky, and E. Fosler. Learning Phonological Rule Probabilities from Speech Corpora with Exploratory Computational Phonology.. in Association for Computational Linguistics (ACL-95).. http://www.aclweb.org/anthology/P95-1001,. (1. 1995).. G. Tajchman, E. Fosler, and D. Jurafsky. Building Multiple Pronunciation Models for Novel Words using Exploratory Computational Phonology.. in Fourth European Conference on Speech Communication and Technology (Eurospeech '95).. http://www.isca-speech.org/archive/eurospeech_1995/e95_2247.html,. (1. 1995).. N. Mirghafori, E. Fosler, and N. Morgan. Fast Speakers in Large Vocabulary Continuous Speech Recognition: Analysis & Antidotes.. in Fourth European Conference on Speech Communication and Technology (Eurospeech '95).. http://www.isca-speech.org/archive/eurospeech_1995/e95_0491.html,. (1. 1995).. 1994. D. Jurafsky, C. Wooters, G. Tajchman, J. Segal, A. Stolcke, E. Fosler, and N. Morgan. The Berkeley Restaurant Project.. in International Conference on Spoken Language Processing (ICSLP-94).. http://www.isca-speech.org/archive/icslp_1994/i94_2139.html,. (1. 1994).. Department ofComputer Science and Engineering395 Dreese Laboratories2015 Neil AvenueColumbus, OH 43210-1277(614) 292-5813 Phone(614) 292-2911 Fax. Support CSE. Invest in a Buckeye. Your gift will make a difference.. Connect. facebookyoutube. 2019 The Ohio State UniversityAccessibilityPrivacy PolicyHelpLogin. diff --git a/src/data/compiled_bios/4057.txt b/src/data/compiled_bios/4057.txt new file mode 100644 index 0000000000..235a283e0f --- /dev/null +++ b/src/data/compiled_bios/4057.txt @@ -0,0 +1 @@ +Pooya Hatami. Assistant Professor. pooyahat@gmail.com. https://pooyahatami.wordpress.com/. Department ofComputer Science and Engineering395 Dreese Laboratories2015 Neil AvenueColumbus, OH 43210-1277(614) 292-5813 Phone(614) 292-2911 Fax. Support CSE. Invest in a Buckeye. Your gift will make a difference.. Connect. facebookyoutube. 2019 The Ohio State UniversityAccessibilityPrivacy PolicyHelpLogin. diff --git a/src/data/compiled_bios/4058.txt b/src/data/compiled_bios/4058.txt new file mode 100644 index 0000000000..b04f053759 --- /dev/null +++ b/src/data/compiled_bios/4058.txt @@ -0,0 +1 @@ +Ten-Hwang Lai. Professor, Computer Science & Engineering. 581 Dreese Laboratories. 2015 Neil Ave. Columbus,. OH. 43210. 614-292-2146. lai.1@osu.edu. http://web.cse.ohio-state.edu/~lai. Journal Articles2016. Sakai,Kazuya; Sun,Min-Te; Ku,Wei-Shinn; Lai,Ten,H,. 2016,. "A Novel Coding Scheme for Secure Communications in Distributed RFID Systems.". IEEE Transactions on Computers. 65,. no. 2,. 409-421 -. 409-421.. Kazuya Sakai, Min-Te Sun, Wei-Shinn Ku, and Ten H. Lai,. 2016,. "A Novel Coding Scheme for Secure Communications in Distributed RFID Systems.". IEEE Transactions on Computers. 65,. no. 2,. 409-421 -. 409-421.. 2015. Sakai,Kazuya; Sun,Min-Te; Ku,Wei-Shinn; Lai,Ten,H; Vasilakos,Athanasios,V,. 2015,. "A Framework for the Optimal k-Coverage Deployment Patterns of Wireless Sensors.". IEEE SENSORS JOURNAL. 15,. no. 12,. 7273-7283 -. 7273-7283.. 2010. X. Bai, Z. Yun, D. Xuan, T.H. Lai, W. Jia,. 2010,. "Optimal Patterns for Four-Connectivity and Full Coverage in Wireless Sensor Networks.". IEEE Trans. on Mobile Computing. 9,. no. 3,. 435-448 -. 435-448.. A. Chen, S. Kumar, T.H. Lai,. 2010,. "Local Barrier Coverage in Wireless Sensor Networks.". IEEE Trans. on Mobile Computing. 9,. no. 4,. 491-504 -. 491-504.. 2009. Ai Chen, Ten H. Lai, and Dong Xuan,. 2009,. "Measuring and guaranteeing quality of barrier coverage for general belts with wireless sensors.". ACM Transactions on Sensor Networks. 6,. no. 1,. 28-58 -. 28-58.. Papers in Proceedings2015. Kazuya Sakai, Min-Te Sun, Wei-Shinn Ku, Jie Wu, and Ten H. Lai. "Multi-Path-Based Avoidance Routing in Wireless Networks.". in IEEE ICDCS 2015.. (6. 2015).. 2011. Ai Chen, Zhizhou Li, Ten H. Lai,, Cong Liu. "One-Way Barrier Coverage with Wireless Sensors..". in INFOCOM 2011 (Mini-conference).. (1. 2011).. Department ofComputer Science and Engineering395 Dreese Laboratories2015 Neil AvenueColumbus, OH 43210-1277(614) 292-5813 Phone(614) 292-2911 Fax. Support CSE. Invest in a Buckeye. Your gift will make a difference.. Connect. facebookyoutube. 2019 The Ohio State UniversityAccessibilityPrivacy PolicyHelpLogin. diff --git a/src/data/compiled_bios/4059.txt b/src/data/compiled_bios/4059.txt new file mode 100644 index 0000000000..5c728820f8 --- /dev/null +++ b/src/data/compiled_bios/4059.txt @@ -0,0 +1 @@ +Zhiqiang Lin. Associate Professor, Computer Science & Engineering. 2015 Neil Ave. 787 Dreese Labs. Columbus,. OH. 43210. 614-292-0055. lin.3021@osu.edu. http://web.cse.ohio-state.edu/~lin.3021. Journal Articles2016. Caballero, J.; Lin, Z.,. 2016,. "Type Inference on Executables.". ACM Computing Surveys. 48,. 65:1-65:35 -. 65:1-65:35.. 2015. Bauman, E.; Ayoade, G.; Lin, Z.,. 2015,. "A Survey on Hypervisor Based Monitoring: Approaches, Applications, and Evolutions.". ACM Computing Surveys. 48,. 10:1-10:33 -. 10:1-10:33.. 2014. Gu, Y.; Fu, Y.; Prakash, A.; Lin, Z. et al.,. 2014,. "Multi-Aspect, Robust, and Memory Exclusive Guest OS Fingerprinting.". IEEE Transactions on Cloud Computing. Rhee, J.; Riley, R.; Lin, Z.; Jiang, X. et al.,. 2014,. "Data-Centric OS Kernel Malware Characterization.". Information Forensics and Security, IEEE Transactions on. 9,. 72-87 -. 72-87.. 2013. Fu, Y.; Lin, Z.,. 2013,. "Bridging the Semantic Gap in Virtual Machine Introspection via Online Kernel Data Redirection.". ACM Trans. Inf. Syst. Secur.. 16,. Lin, Z.,. 2013,. "Toward Guest OS Writable Virtual Machine Introspection.". VMware Technical Journal. 2,. 2010. Lin, Z.; Zhang, X.; Xu, D.,. 2010,. "Reverse Engineering Input Syntactic Structure from Program Execution and Its Applications.". IEEE Transactions on Software Engineering. 36,. 688-703 -. 688-703.. 2005. Lin, Z.; Wang, C.; Mao, B.; Xie, L.,. 2005,. "A policy flexible architecture for secure operating system.". SIGOPS Oper. Syst. Rev.. 39,. 24-33 -. 24-33.. Unknown. Chen, G.; Chen, S.; Xiao, Y.; Zhang, Y. et al.,. "SgxPectre Attacks: Stealing Intel Secrets from SGX Enclaves via. Speculative Execution.". Papers in Proceedings2018. Bauman, E.; Lin, Z.; Hamlen, K.. "Superset Disassembly: Statically Rewriting x86 Binaries Without Heuristics.". (2. 2018).. Chen, J.; Diao, W.; Zhao, Q.; Zuo, C. et al.. "IoTFuzzer: Discovering Memory Corruptions in IoT Through App-based Fuzzing.". (2. 2018).. Bauman, E.; Wang, H.; Zhang, M.; Lin, Z.. "SGX-Elide: Enabling Enclave Code Secrecy via Self-Modification.". (2. 2018).. Bhatt, M.; Ahmed, I.; Lin, Z.. "Using Virtual Machine Introspection for Kernel Security Education.". in ACM Technical Symposium on Computer Science Education.. (2. 2018).. 2017. Zuo, C.; Lin, Z.. "SmartGen: Exposing Server URLs of Mobile Apps With Selective Symbolic Execution.". (4. 2017).. Krandle, V.; Bauman, E.; Lin, Z.; Khan, L.. "Securing System Logs with SGX.". (4. 2017).. Chandra, S.; Karande, V.; Lin, Z.; Khan, L. et al.. "Securing Data Analytics on SGX With Randomization.". (9. 2017).. Silvestro, S.; Liu, H.; Crosser, C.; Lin, Z. et al.. "FreeGuard: A Faster Secure Heap Allocator.". in ACM Conference on Computer and Communication Security.. (11. 2017).. Shaon, F.; Kantarcioglu, M.; Lin, Z.; Khan, L.. "A Practical Encrypted Data Analytic Framework With Trusted Processors.". (11. 2017).. Fu, Y.; Bauman, E.; Quinonez, R.; Lin, Z.. "SGX-LAPD: Thwarting Controlled Side Channel Attacks via Enclave Verifiable Page Faults.". (9. 2017).. Zuo, C.; Zhao, Q.; Lin, Z.. "AuthScope: Towards Automatic Discovery of Vulnerable Authorizations in Online Services.". (11. 2017).. Gu, Y.; Zhao, Q.; Zhang, Y.; Lin, Z.. "PT-CFI: Transparent backward-edge control flow violation detection using intel processor trace.". (3. 2017).. Gu, Y.; Zhao, Q.; Zhang, Y.; Lin, Z.. "PT-CFI: Transparent Backward-Edge Control Flow Violation Detection Using Intel Processor Trace.". in ACM Conference on Data and Application Security and Privacy.. (3. 2017).. Gu, G.; Hu, H.; Keller, E.; Lin, Z. et al.. "Building a Security OS With Software Defined Infrastructure.". (9. 2017).. 2016. Zeng, J.; Fu, Y.; Lin, Z.. "Automatic Uncovering of Tap Points From Kernel Executions.". (9. 2016).. Zuo, C.; Wang, W.; Wang, R.; Lin, Z.. "Automatic Forgery of Cryptographically Consistent Messages to Identify Security Vulnerabilities in Mobile Services.". (2. 2016).. Naami, K.A.; Chandra, S.; Mustafa, A.; Khan, L. et al.. "Adaptive Encrypted Traffic Fingerprinting With Bi-Directional Dependence.". (12. 2016).. Fu, Y.; Rhee, J.; Lin, Z.; Li, Z. et al.. "Detecting Stack Layout Corruptions with Robust Stack Unwinding.". (9. 2016).. Bauman, E.; Lin, Z.. "A Case for Protecting Computer Games With SGX.". (12. 2016).. Gu, Y.; Lin, Z.. "Derandomizing Kernel Address Space Layout for Introspection and Forensics.". (1. 2016).. 2015. Bauman, E.; Lu, Y.; Lin, Z.. "Half a Century of Practice: Who Is Still Storing Plaintext Passwords?.". (5. 2015).. Zeng, J.; Fu, Y.; Lin, Z.. "PEMU: A Pin Highly Compatible Out-of-VM Dynamic Binary Instrumentation Framework.". (3. 2015).. Zeng, J.; Lin, Z.. "Towards Automatic Inference of Kernel Object Semantics from Binary Code.". (11. 2015).. Fu, Y.; Lin, Z.; Brumley, D.. "Automatically Deriving Pointer Reference Expressions From Executions For Memory Dump Analysis.". (9. 2015).. Kim, S.H.; Xu, L.; Liu, Z.; Lin, Z. et al.. "Enhancing Software Dependability and Security with Hardware Supported Instruction Address Space Randomization.". (6. 2015).. 2014. Sounthiraraj, D.; Sahs, J.; Greenwood, G.; Lin, Z. et al.. "SMV-Hunter: Large Scale, Automated Detection of SSL/TLS Man-in-the-Middle Vulnerabilities in Android Apps.". (2. 2014).. Peng, F.; Deng, Z.; Zhang, X.; Xu, D. et al.. "X-Force: Force-Executing Binary Programs for Security Applications.". (8. 2014).. Urbina, D.; Gu, Y.; Caballero, J.; Lin, Z.. "SigPath: A Memory Graph Based Approach for Program Data Introspection and Modification.". (9. 2014).. Xu, Z.; Zhang, J.; Gu, G.; Lin, Z.. "GoldenEye: Efficiently and Effectively Unveiling Malwares Targeted Environment.". (9. 2014).. Feng, Q.; Prakash, A.; Yin, H.; Lin, Z.. "MACE: High-Coverage and Robust Memory Analysis For Commodity Operating Systems.". (12. 2014).. Pattuk, E.; Kantarcioglu, M.; Lin, Z.; Ulusoy, H.. "Preventing Cryptographic Key Leakage in Cloud Virtual Machines.". (8. 2014).. Fu, Y.; Zeng, J.; Lin, Z.. "HyperShell: A Practical Hypervisor Layer Guest OS Shell for Automated In-VM Management.". (6. 2014).. Saberi, A.; Fu, Y.; Lin, Z.. "Hybrid-Bridge: Efficiently Bridging the Semantic-Gap in Virtual Machine Introspection via Decoupled Execution and Training Memoization.". (2. 2014).. 2013. Fu, Y.; Lin, Z.. "Exterior: Using a Dual-VM Based External Shell for Guest-OS Introspection, Configuration, and Recovery.". (3. 2013).. Zeng, J.; Fu, Y.; Miller, K.A.; Lin, Z. et al.. "Obfuscation resilient binary code reuse through trace-oriented programming.". (12. 2013).. Aravind Prakash, H.Y.; Lin, Z.. "Manipulating Semantic Values in Kernel Data Structures: Attack Assessments and Implications.". in Proceedings of the 43rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks.. (6. 2013).. Zeng, J.; Fu, Y.; Miller, K.; Lin, Z. et al.. "Obfuscation-resilient Binary Code Reuse through Trace-oriented Programming.". in ACM Conference on Computer and Communication Security.. (11. 2013).. Prakash, A.; Venkataramani, E.; Yin, H.; Lin, Z.. "Manipulating Semantic Values in Kernel Data Structures: Attack Assessments and Implications.". in 43rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN).. (1. 2013).. Liu, Z.; Lee, J.; Zeng, J.; Wen, Y. et al.. "CPU Transparent Protection of OS Kernel and Hypervisor Integrity with Programmable DRAM.". (6. 2013).. Zhaoyan Xu, G.G.; Lin, Z.. "AUTOVAC: Towards Automatically Extracting System Resource Constraints and Generating Vaccines for Malware Immunization.". (7. 2013).. Prakash, A.; Venkataramani, E.; Yin, H.; Lin, Z. et al.. "Manipulating Semantic Values in Kernel Data Structures: Attack Assessments and Implications.". (1. 2013).. Fu, Y.; Lin, Z.; Hamlen, K.. "Subverting Systems Authentication with Context-aware, Reactive Virtual Machine Introspection.". (12. 2013).. 2012. Wartell, R.; Mohan, V.; Hamlen, K.; Lin, Z.. "Securing Untrusted Code via Compiler-Agnostic Binary Rewriting.". (12. 2012).. Lin, Z.; Rhee, J.; Wu, C.; Zhang, X. et al.. "DIMSUM: Discovering Semantic Data of Interest from Un-mappable with Confidence.". (2. 2012).. Gu, Y.; Fu, Y.; Prakash, A.; Lin, Z. et al.. "OS-Sommelier: Memory-Only Operating System Fingerprinting in the Cloud.". (10. 2012).. Fu, Y.; Lin, Z.. "Space Traveling across VM: Automatically Bridging the Semantic-Gap in Virtual Machine Introspection via Online Kernel Data Redirection.". (5. 2012).. Wartell, R.; Mohan, V.; Hamlen, K.; Lin, Z.. "Binary Stirring: Self-randomizing Instruction Addresses of Legacy x86 Binary Code.". (10. 2012).. 2011. Lin, Z.; Rhee, J.; Zhang, X.; Xu, D.. "SigGraph: Brute Force Scanning of Kernel Data Structure Instances Using Graph-based Signatures.". (2. 2011).. Junghwan Rhee, Z.L.; Xu, D.. "Characterizing Kernel Malware Behavior with Kernel Data Access Patterns.". (3. 2011).. 2010. Tao Bao, X.Z.; Xu, D.. "Strict Control Dependence and its Effect on Dynamic Information Flow Analyses.". (7. 2010).. Lin, Z.; Zhang, X.; Xu, D.. "Automatic Reverse Engineering of Data Structures from Binary Execution.". (2. 2010).. Lin, Z.; Zhang, X.; Xu, D.. "Reuse-Oriented Camouflaging Trojan: Vulnerability Detection and Attack Construction.". (6. 2010).. 2009. Wang, T.; Wei, T.; Lin, Z.; Zou, W.. "IntScope: Automatically Detecting Integer Overflow Vulnerability In X86 Binary Using Symbolic Execution.". (2. 2009).. 2008. Lin, Z.; Zhang, X.; Xu, D.. "Convicting Exploitable Software Vulnerabilities: An Efficient Input Provenance Based Approach.". (6. 2008).. Lin, Z.; Jiang, X.; Xu, D.; Zhang, X.. "Automatic Protocol Format Reverse Engineering Through Context-Aware Monitored Execution.". (2. 2008).. Lin, Z.; Zhang, X.. "Deriving Input Syntactic Structure From Execution.". (11. 2008).. 2007. Lin, Z.; Jiang, X.; Xu, D.; Mao, B. et al.. "AutoPaG: Towards Automated Software Patch Generation with Source Code Root Cause Identification and Repair.". (3. 2007).. 2006. Lin, Z.; Xia, N.; Li, G.; Mao, B. et al.. "Transparent Run-Time Prevention of Format-String Attacks via Dynamic Taint and Flexible Validation.". (9. 2006).. Lin, Z.; Mao, B.; Xie, L.. "LibsafeXP: A Practical and Transparent Tool for Run-time Buffer Overflow Preventions.". (6. 2006).. Unknown. Silvestro, S.; Liu, H.; Crosser, C.; Lin, Z. et al.. "FreeGuard: A Faster Secure Heap Allocator.". Department ofComputer Science and Engineering395 Dreese Laboratories2015 Neil AvenueColumbus, OH 43210-1277(614) 292-5813 Phone(614) 292-2911 Fax. Support CSE. Invest in a Buckeye. Your gift will make a difference.. Connect. facebookyoutube. 2019 The Ohio State UniversityAccessibilityPrivacy PolicyHelpLogin. diff --git a/src/data/compiled_bios/406.txt b/src/data/compiled_bios/406.txt new file mode 100644 index 0000000000..5aa7891f44 --- /dev/null +++ b/src/data/compiled_bios/406.txt @@ -0,0 +1 @@ +Name: Venkatesan, S.:: Position: Professor(CS, CE, & TE):: Degrees: Ph.D., Computer Science, University of Pittsburgh, 1988; M.S., Computer Science, University of Pittsburgh, 1985; M.Tech., Indian Institute of Technology, 1983; B.Tech., Indian Institute of Technology, 1981; Research Interests: Wireless sensor networks and its application to medical instrumentation; Cognitive radio networks; Mobile ad hoc networks (MANETs); Fault tolerance; Distributed algorithms; Telecommunication networks; Mobile computing; diff --git a/src/data/compiled_bios/4060.txt b/src/data/compiled_bios/4060.txt new file mode 100644 index 0000000000..2b334df686 --- /dev/null +++ b/src/data/compiled_bios/4060.txt @@ -0,0 +1 @@ +raghu Machiraju. Professor, SBS-Biomedical Informatics. Professor, Pathology. Professor, Computer Science & Engineering. IntDir of Data Analyt Collabor, Translational Data Analytics. 779 Dreese Laboratories. 2015 Neil Ave. Columbus,. OH. 43210. 614-292-6730. machiraju.1@osu.edu. http://web.cse.ohio-state.edu/~raghu. Journal Articles2015. Ding H, Wang C, Huang K, Machiraju R.,. 2015,. "GRAPHIE: graph based histology image explorer.". .BMC Bioinformatics. 2015. Suppl 11,. no. S10,. 1186 -. 1186.. Myers,Emma,M; Bartlett,Christopher,W; Machiraju,Raghu; Bohland,Jason,W,. 2015,. "An integrative analysis of regional gene expression profiles in the human brain.". METHODS. 73,. 54-70 -. 54-70.. 2014. Yates,A; Webb,A; Sharpnack,M; Chamberlin,H; Huang,K; Machiraju,R,. 2014,. "Visualizing Multidimensional Data with Glyph SPLOMs.". COMPUTER GRAPHICS FORUM. 33,. no. 3,. 301-310 -. 301-310.. Wang,Chao; Machiraju,Raghu; Huang,Kun,. 2014,. "Breast cancer patient stratification using a molecular regularized consensus clustering method.". METHODS. 67,. no. 3,. 304-312 -. 304-312.. Li Q, Zachmann G, David F, Huang K, Machiraju R,. 2014,. "Observing Genomics and Phenotypical Patterns in the Developing Mouse Brain.". IEEE Computer Graphics and Applications. 4,. 88-97 -. 88-97.. 2013. Wang C, Pecot T, Zynger D, Shapiro C, Machiraju R, Huang K,. 2013,. Identifying Survival Associated Morphological Features of Triple Negative Breast Cancer using Multiple Datasets.. Journal of the American Medical Informatics Association : JAMIA.. Epub: http://jamia.bmj.com/content/early/2013/04/11/amiajnl-2012-001538,. no. NA,. NA -. NA.. Kalluru V, Machiraju R, Huang K.,. 2013,. "Identify condition-specific gene co-expression networks..". Int J Comput Biol Drug Design. 6,. no. 1-2,. 50-59 -. 50-59.. Wolock,Samuel,L; Yates,Andrew; Petrill,Stephen,A; Bohland,Jason,W; Blair,Clancy; Li,Ning; Machiraju,Raghu; Huang,Kun; Bartlett,Christopher,W,. 2013,. "Gene X smoking interactions on human brain gene expression: finding common mechanisms in adolescents and adults.". JOURNAL OF CHILD PSYCHOLOGY AND PSYCHIATRY. 54,. no. 10,. 1109-1119 -. 1109-1119.. 2011. Janoos, F.; Singh, S.; Machiraju, R.; Wells, W.M. et al.,. 2011,. "State-space models of mental processes from fMRI..". Information processing in medical imaging : proceedings of the ... conference. 22,. 588-599 -. 588-599.. Sammet,Steffen; Evans,Kevin,D; Irfanoglu,M,Okan; Strapp,Ashley; Machiraju,Raghu,. 2011,. "THE FEASIBILITY OF HYBRID AUTOMATIC SEGMENTATION OF AXILLARY LYMPH NODES FROM A 3-D SONOGRAM.". ULTRASOUND IN MEDICINE AND BIOLOGY. 37,. no. 12,. 2075-2085 -. 2075-2085.. Singh, S.; Janoos, F.; Pcot, T.; Caserta, E. et al.,. 2011,. "Identifying nuclear phenotypes using semi-supervised metric learning..". Information processing in medical imaging : proceedings of the ... conference. 22,. 398-410 -. 398-410.. Rink,Cameron; Christoforidis,Greg; Khanna,Savita; Peterson,Laura; Patel,Yojan; Khanna,Suchin; Abduljalil,Amir; Irfanoglu,Okan; Machiraju,Raghu; Bergdall,Valerie,K; Sen,Chandan,K,. 2011,. "Tocotrienol vitamin E protects against preclinical canine ischemic stroke by inducing arteriogenesis.". JOURNAL OF CEREBRAL BLOOD FLOW AND METABOLISM. 31,. no. 11,. 2218-2230 -. 2218-2230.. 2008. Mosaliganti,Kishore; Pan,Tony; Ridgway,Randall; Sharp,Richard; Cooper,Lee; Gulacy,Alex; Sharma,Ashish; Irfanoglu,Okan; Machiraju,Raghu; Kurc,Tahsin; de Bruin,Alain; Wenzel,Pamela; Leone,Gustavo; Saltz,Joel; Huang,Kun,. 2008,. "An imaging workflow for characterizing phenotypical change in large histological mouse model datasets.". JOURNAL OF BIOMEDICAL INFORMATICS. 41,. no. 6,. 863-873 -. 863-873.. 2007. Kaur, R.; Machiraju, R.; Nigam, K.D.P.,. 2007,. "Agitation effects in a gas-liquid-liquid reactor system: Methyl ethyl ketazine production.". International Journal of Chemical Reactor Engineering. 5,. Sharp,Richard,P; Ridgway,Randall; Mosaliganti,Kishore; Wenzel,Pamela; Pan,Tony; de Bruin,Alain; Machiraju,Raghu; Huang,Kun; Leone,Gustavo; Saltz,Joel,H,. 2007,. "Volume rendering phenotype differences in mouse placenta microscopy data.". COMPUTING IN SCIENCE & ENGINEERING. 9,. no. 1,. 38-47 -. 38-47.. Wenzel,Pamela,L; Wu,Lizhao; de Bruin,Alain; Chong,Jean-Leon; Chen,Wen-Yi; Dureska,Geoffrey; Sites,Emily; Pan,Tony; Sharma,Ashish; Huang,Kun; Ridgway,Randall; Mosaliganti,Kishore; Sharp,Richard; Machiraju,Raghu; Saltz,Joel; Yamamoto,Hideyuki; Cross,James,C; Robinson,Michael,L; Leone,Gustavo,. 2007,. "Rb is critical in a mammalian tissue stem cell population.". GENES & DEVELOPMENT. 21,. no. 1,. 85-97 -. 85-97.. Mosaliganti,Kishore; Janoos,Firdaus; Sharp,Richard; Ridgway,Randall; Machiraju,Raghu; Huang,Kun; Wenzel,Pamela; deBruin,Alain; Leone,Gustavo; Saltz,Joel,. 2007,. "Detection and visualization of surface-pockets to enable phenotyping studies.". IEEE TRANSACTIONS ON MEDICAL IMAGING. 26,. no. 9,. 1283-1290 -. 1283-1290.. Papers in Proceedings2018. Agarwal, M.; Narcisse, D.; Khouzam, N.; Khouzam, R.. "Foreword.". (2. 2018).. Agarwal, M.; Narcisse, D.; Khouzam, N.; Khouzam, R.. "Foreword.". (2. 2018).. 2016. Meng, N.; Machiraju, R.; Huang, K.. "Identification of recurrent combinatorial patterns of chromatin modifications at promoters across various tissue types..". (12. 2016).. Meng, N.; Machiraju, R.; Huang, K.. "Identification of recurrent combinatorial patterns of chromatin modifications at promoters across various tissue types.". (12. 2016).. Meng, N.; Machiraju, R.; Huang, K.. "Identification of recurrent combinatorial patterns of chromatin modifications at promoters across various tissue types.". (12. 2016).. Meng, N.; Machiraju, R.; Huang, K.. "Identification of recurrent combinatorial patterns of chromatin modifications at promoters across various tissue types..". (12. 2016).. Meng, N.; Machiraju, R.; Huang, K.. "Identification of recurrent combinatorial patterns of chromatin modifications at promoters across various tissue types.". in 27th International Conference on Genome Informatics - Bioinformatics.. (12. 2016).. 2015. Biswas, A.; Thompson, D.; He, W.; Deng, Q. et al.. "An Uncertainty-Driven Approach to Vortex Analysis Using Oracle Consensus and Spatial Proximity.". in IEEE Pacific Visualization Symposium (PacificVis).. (1. 2015).. Biswas, A.; Thompson, D.; He, W.; Deng, Q. et al.. "An uncertainty-driven approach to vortex analysis using oracle consensus and spatial proximity.". (1. 2015).. Ayan Biswas, David Thompson, Wenbin He, Qi Deng, Chun-Ming Chen, Han-Wei Shen, Raghu Machiraju, and Anand Rangarajan. "An Uncertainty-Driven Approach to Vortex Analysis Using Oracle Consensus and Spatial Proximity.". in Pacific Visualization 2015.. (4. 2015).. Biswas, A.; Thompson, D.; He, W.; Deng, Q. et al.. "An Uncertainty-Driven Approach to Vortex Analysis Using Oracle Consensus and Spatial Proximity.". (1. 2015).. 2014. Wang C, Machiraju R, Huang K. "Cancer Patient Integrative Stratification via a Two-step Consensus Clustering of Molecular Expression and Clinical Attributes..". in 2014 AMIA (American Medical Informatics Association) Summit on Translational Bioinformatics,.. (4. 2014).. Zhang, L.; Machiraju, R.; Thompson, D.; Rangarajan, A. et al.. "Adaptive boosting for enhanced vortex visualization.". (1. 2014).. 2013. Zhang, L.; Machiraju, R.; Thompson, D.. "CAVIAR-Based Vortex Core Region Detection.". in 13th International Conference on Computer-Aided Design and Computer Graphics (CAD/Graphics).. (1. 2013).. Zhang, L.; Machiraju, R.; Thompson, D.; IEEE,. "CAVIAR-Based Vortex Core Region Detection.". (1. 2013).. Zhang, L.; Machiraju, R.; Thompson, D.. "CAVIAR-based vortex core region detection.". (1. 2013).. Park, D.Y.; Jones, D.; Moldovan, N.I.; Machiraju, R. et al.. "Robust detection and visualization of cytoskeletal structures in fibrillar scaffolds from 3-dimensional confocal image.". (1. 2013).. Park D-Y, Jones D, Moldovan N, Machiraju R, Pcot T. "Robust Detection and Visualization of Cytoskeletal Structures in Fibrillar Scaffolds from 3-Dimensional Confocal Images.". in IEEE Symposium on Biological Data Visualization (BioVis) 2013,.. (10. 2013).. Park, D.Y.; Jones, D.; Moldovan, N.I.; Machiraju, R. et al.. "Robust Detection and Visualization of Cytoskeletal Structures in Fibrillar Scaffolds from 3-Dimensional Confocal Image.". (1. 2013).. Park, D.Y.; Jones, D.; Moldovan, N.I.; Machiraju, R. et al.. "Robust Detection and Visualization of Cytoskeletal Structures in Fibrillar Scaffolds from 3-Dimensional Confocal Image.". in IEEE Symposium on Biological Data Visualization.. (1. 2013).. 2012. Pecot,Thierry; Singh,Shantanu; Caserta,Enrico; Huang,Kun; Machiraju,Raghu; Leone,Gustavo. "NON PARAMETRIC CELL NUCLEI SEGMENTATION BASED ON A TRACKING OVER DEPTH FROM 3D FLUORESCENCE CONFOCAL IMAGES.". in 9th IEEE International Symposium on Biomedical Imaging (ISBI) - From Nano to Macro.. (1. 2012).. Han,Zhi; Tian,Lu; Pecot,Thierry; Huang,Tim; Machiraju,Raghu; Huang,Kun. "A signal processing approach for enriched region detection in RNA polymerase II ChIP-seq data.". in 1st Annual Meeting of the Great Lakes Bioinformatics (GLBIO).. (3. 2012).. Machiraju, R.; Singh, S.; Pecot, T.; Huang, K. et al.. "Quantitative Cellular Phenotyping in Tissue Microenvironments.". in Experimental Biology Meeting.. (4. 2012).. 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"Susceptibility Distortion Correction for Echo Planar Images with Non-uniform B-Spline Grid Sampling: A Diffusion Tensor Image Study.". in 14th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI 2011).. (9. 2011).. Singh,Shantanu; Janoos,Firdaus; Pecot,Thierry; Caserta,Enrico; Leone,Gustavo; Rittscher,Jens; Machiraju,Raghu. "Identifying Nuclear Phenotypes Using Semi-supervised Metric Learning.". in 22nd International Conference on Information Processing in Medical Imaging (IPMI).. (1. 2011).. Janoos,Firdaus; Singh,Shantanu; Machiraju,Raghu; Wells,William,M; Morocz,Istvan,A. "State-Space Models of Mental Processes from fMRI.". in 22nd International Conference on Information Processing in Medical Imaging (IPMI).. (7. 2011).. Irfanoglu, M.O.; Walker, L.; Sammet, S.; Pierpaoli, C. et al.. "Susceptibility distortion correction for echo planar images with non-uniform B-spline grid sampling: A diffusion tensor image study.". (10. 2011).. 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Irfanoglu M, Koay G, Basser P, Machiraju R. "Diffusion Tensor Field Registration in the Presence of Uncertainty.". in Medical Image Computing and Computer Assisted Intervention Conference (MICCAI) 2009.. (1. 2010).. Singh, S.; Raman, S.; Caserta, E.; Leone, G. et al.. "ANALYSIS OF SPATIAL VARIATION OF NUCLEAR MORPHOLOGY IN TISSUE MICROENVIRONMENTS.". (1. 2010).. Singh,S; Raman,S; Caserta,E; Leone,G; Ostrowski,M; Rittscher,J; Machiraju,R. "ANALYSIS OF SPATIAL VARIATION OF NUCLEAR MORPHOLOGY IN TISSUE MICROENVIRONMENTS.". in 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.. (1. 2010).. Mosaliganti K, Janoos F, Gelas A, Noche R, Obholzer N, Machiraju R, Megason S. "Anisotropic Plate Diffusion Filtering for Detection of Cell Membranes in 3D Microscopy Images.". in The IEEE International Symposium on Biomedical Imaging (ISBI) 2010.. (4. 2010).. Janoos F, Irfanoglu O, Afacan O, Machiraju R, Warfield S, Wald L, Morocz I. 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Janoos, F.; Machiraju, R.; Morocz, I.A.. "Decoding brain states from fMRI data.". in 15th World Congress of Psychophysiology.. (9. 2010).. Mosaliganti, K.; Janoos, F.; Gelas, A.; Noche, R. et al.. "ANISOTROPIC PLATE DIFFUSION FILTERING FOR DETECTION OF CELL MEMBRANES IN 3D MICROSCOPY IMAGES.". in 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.. (1. 2010).. Mosaliganti, K.; Janoos, F.; Gelas, A.; Noche, R. et al.. "ANISOTROPIC PLATE DIFFUSION FILTERING FOR DETECTION OF CELL MEMBRANES IN 3D MICROSCOPY IMAGES..". (1. 2010).. Janoos,Firdaus; Machiraju,Raghu; Morocz,Istvan,A. "Decoding brain states from fMRI data.". in 15th World Congress of Psychophysiology.. (9. 2010).. Janoos,Firdaus; Machiraju,Raghu; Sammet,Steffen; Knopp,Michael,V; Warfield,Simon,K; Morocz,Istvan,Akos. "Measuring Effects of Latency in Brain Activity with FMRI.". in 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.. (1. 2010).. 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Janoos, F.; Singh, S.; Irfanoglu, O.; Machiraju, R. et al.. "Activity analysis using spatio-temporal trajectory volumes in surveillance applications.". (12. 2007).. Janoos, F.; Singh, S.; Irfanoglu, O.; Machiraju, R. et al.. "Activity analysis using spatio-temporal trajectory volumes in surveillance applications.". (1. 2007).. Janoos, F.; Machiraju, R.; Parent, R.; Davis, J.W. et al.. "Sensor configuration for coverage optimization for surveillance applications.". (5. 2007).. Janoos, F.; Machiraju, R.; Parent, R.; Davis, J.W. et al.. "Sensor configuration for coverage optimization for surveillance applications.". in 9th Videometrics Conference.. (1. 2007).. Janoos, F.; Machiraju, R.; Parent, R.; Davis, J.W. et al.. "Sensor configuration for coverage optimization for surveillance applications.". (1. 2007).. Janoos, F.; Singh, S.; Irfanoglu, O.; Machiraju, R. et al.. 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"Finding optimal views for 3D face shape modeling.". in 6th IEEE International Conference on Automatic Face and Gesture Recognition.. (1. 2004).. Lee, J.H.; Moghaddam, B.; Pfister, H.; Machiraju, R.. "Finding optimal views for 3D face shape modeling.". in 6th IEEE International Conference on Automatic Face and Gesture Recognition.. (1. 2004).. Kim, Y.; Machiraju, R.; Thompson, D.. "Rough interface reconstruction using the level set method.". in IEEE Visualization 2004 Conference.. (1. 2004).. Scoggins, R.K.; Machiraju, R.. "Frequency space techniques for BRDF shading.". in Conference on Targets and Backgrounds X.. (1. 2004).. Kim, Y.; Machiraju, R.; Thompson, D.. "Rough interface reconstruction using the level set method.". (12. 2004).. Lee, J.; Moghaddam, B.; Pfister, H.; Machiraju, R.. "Finding optimal views for 3D face shape modeling.". (9. 2004).. Lee, J.H.; Moghaddam, B.; Pfister, H.; Machiraju, R. et al.. "Finding optimal views for 3D face shape modeling.". (1. 2004).. 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"EVITA - Efficient visualization and interrogation of tera-scale data.". in Workshop on Mining Scientific Datasets.. (1. 2001).. Machiraju,R; Fowler,J,E; Thompson,D; Soni,B; Schroeder,W. "EVITA - Efficient visualization and interrogation of tera-scale data.". in Workshop on Mining Scientific Datasets.. (1. 2001).. Scoggins,R; Machiraju,R; Moorhead,R,J. "Approximate shading for the re-illumination of synthetic images.". in IEEE Visualization Conference.. (1. 2001).. Machiraju, R.; Fowler, J.E.; Thompson, D.; Soni, B. et al.. "EVITA - Efficient visualization and interrogation of tera-scale data.". (1. 2001).. Scoggins, R.; Machiraju, R.; Moorhead, R.J.. "Approximate shading for the re-illumination of synthetic images.". (1. 2001).. Scoggins, R.; Machiraju, R.; Moorhead, R.J.. "Approximate shading for the re-illumination of synthetic images.". in IEEE Visualization Conference.. (1. 2001).. Tenginakai,S; Lee,J; Machiraju,R. 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"Dynamic view-dependent partitioning of structured grids with complex boundaries for object-order rendering techniques.". (10. 1999).. 1998. Kompella, N.; Machiraju, R.; Choudhary, A.; Skjellum, A.. "Wavelet based compression and denoising of convolution operators.". (12. 1998).. Moller, T.; Mueller, K.; Kurzion, Y.; Machiraju, R. et al.. "Design of accurate and smooth filters for function and derivative reconstruction.". in IEEE Symposium on Volume Visualization.. (1. 1998).. Machiraju,R; Zhu,Z,F; Fry,B; Moorhead,R. "Structure-significant representation of structured datasets.". in 8th Annual IEEE Conference on Visualization.. (4. 1998).. Machiraju, R.; Zhu, Z.; Fry, B.; Moorhead, R.. "Structure-significant representation of structured datasets.". (12. 1998).. Moller, T.; Mueller, K.; Kurzion, Y.; Machiraju, R. et al.. "Design of accurate and smooth filters for function and derivative reconstruction.". (1. 1998).. Mller, T.; Mueller, K.; Kurzion, Y.; Machiraju, R. et al.. "Design of accurate and smooth filters for function and derivative reconstruction.". (10. 1998).. Kompella, N.; Machiraju, R.; Choudhary, A.; Skjellum, A.. "Wavelet based compression and denoising of convolution operators.". (1. 1998).. Kiu, M.H.; Du, X.S.; Moorhead, R.J.; Banks, D.C. et al.. "Two dimensional sequence compression using MPEG.". (12. 1998).. Kompella, N.; Machiraju, R.; Choudhary, A.; Skjellum, A.. "Wavelet based compression and denoising of convolution operators.". in Conference on Wavelet Applications in Signal and Image Processing VI.. (1. 1998).. Machiraju, R.; Zhu, Z.F.; Fry, B.; Moorhead, R.. "Structure-significant representation of structured datasets.". (1. 1998).. Machiraju, R.; Zhu, Z.F.; Fry, B.; Moorhead, R.. "Structure-significant representation of structured datasets.". in 8th Annual IEEE Conference on Visualization.. (4. 1998).. 1997. Gaddipatti, A.; Machiraju, R.; Yagel, R.. "Steering image generation with wavelet based perceptual metric.". (1. 1997).. Moller, T.; Machiraju, R.; Mueller, K.; Yagel, R.. "Evaluation and design of filters using a Taylor series expansion.". (1. 1997).. Machiraju, R.; Gaddipatti, A.; Yagel, R.. "Detection and enhancement of scale-coherent structures using wavelet transform products.". (1. 1997).. Kiu, M.H.; Du, X.S.; Moorhead, R.J.; Banks, D.C. et al.. "Two dimensional sequence compression using MPEG.". (1. 1997).. Machiraju, R.; Gaddipatti, A.; Yager, R.. "Detection and enhancement of scale-coherent structures using wavelet transform products.". (12. 1997).. Moller, T.; Machiraju, R.; Mueller, K.; Yagel, R.. "Evaluation and design of filters using a Taylor series expansion.". in Meeting of Visualization 96 / Volume Visualization Symposium 96.. (4. 1997).. Gaddipatti, A.; Machiraju, R.; Yagel, R.. "Steering image generation with wavelet based perceptual metric.". (12. 1997).. Kiu, M.H.; Du, X.S.; Moorhead, R.J.; Banks, D.C. et al.. "Two dimensional sequence compression using MPEG.". in Visual Communications and Image Processing 1998 Conference.. (1. 1997).. Moller, T.; Machiraju, R.; Mueller, K.; Yagel, R.. "A comparison of normal estimation schemes.". in 8th Annual IEEE Conference on Visualization.. (1. 1997).. Zhu, Z.F.; Machiraju, R.; Fry, B.; Moorhead, R.. "Wavelet-based multiresolutional representation of computational field simulation datasets.". in 8th Annual IEEE Conference on Visualization.. (1. 1997).. Zhu, Z.F.; Machiraju, R.; Fry, B.; Moorhead, R.. "Wavelet-based multiresolutional representation of computational field simulation datasets.". (1. 1997).. Machiraju, R.; Gaddipatti, A.; Yagel, R.. "Detection and enhancement of scale-coherent structures using wavelet transform products.". in Conference on Wavelet Applications in Signal and Image Processing V.. (1. 1997).. Machiraju, R.; Vickery, R.. "Detection and controlled manipulation of coherent structures in medical images.". (1. 1997).. Machiraju, R.; Vickery, R.. "Detection and controlled manipulation of coherent structures in medical images.". in 16th Southern Biomedical Engineering Conference.. (1. 1997).. Gaddipatti, A.; Machiraju, R.; Yagel, R.. "Steering image generation with wavelet based perceptual metric.". in 18th Annual Conference of the European-Association-for-Computer-Graphics (Eurographics 97).. (1. 1997).. Moller, T.; Machiraju, R.; Mueller, K.; Yagel, R.. "A comparison of normal estimation schemes.". (1. 1997).. 1996. Moller, T.; Machiraju, R.; Mueller, K.; Yagel, R.. "Classification and local error estimation of interpolation and derivative filters for volume rendering.". in 1996 Symposium on Volume Visualization.. (1. 1996).. Moller, T.; Machiraju, R.; Mueller, K.; Yagel, R. et al.. "Classification and local error estimation of interpolation and derivative filters for volume rendering.". (1. 1996).. 1995. Machiraju, R.; Swan, E.; Yagel, R.. "Spatial domain characterization and control of reconstruction errors.". in Eurographics Workshop - Rendering Techniques 95.. (1. 1995).. Machiraju, R.; Swan, E.; Yagel, R.. "Spatial domain characterization and control of reconstruction errors.". (1. 1995).. Department ofComputer Science and Engineering395 Dreese Laboratories2015 Neil AvenueColumbus, OH 43210-1277(614) 292-5813 Phone(614) 292-2911 Fax. Support CSE. Invest in a Buckeye. Your gift will make a difference.. Connect. facebookyoutube. 2019 The Ohio State UniversityAccessibilityPrivacy PolicyHelpLogin. diff --git a/src/data/compiled_bios/4061.txt b/src/data/compiled_bios/4061.txt new file mode 100644 index 0000000000..0b423d65c6 --- /dev/null +++ b/src/data/compiled_bios/4061.txt @@ -0,0 +1 @@ +Facundo Memoli. Associate Professor, Mathematics. Associate Professor, Computer Science & Engineering. 281 Dreese Labs. Columbus,. OH. 43210. 100 Math Tower/231 West 18th Av. 614-292-4975. memolitechera.1@osu.edu. https://people.math.osu.edu/memoli.2/. Chapters2013. 2013.. "The Gromov-Hausdorff distance: a brief tutorial on some of its quantitative aspects..". In Actes des rencontres du CIRM, 3 no. 1: Courbure discrete : theorie et applications,. 2006. 2006.. "Computing with Point Cloud Data.". In Statistics and Analysis of Shapes (Modeling and Simulation in Science, Engineering and Tech- nology),. 2002. 2002.. "Variational Problems and PDEs on Implicit Surfaces..". In Geometric Level Set Methods in Imaging, Vision and Graphics,. Journal Articles2014. Facundo Memoli,. 2014,. "The Gromov-Wasserstein distance: a brief overview.". Axioms. 3,. 335-341 -. 335-341.. 2013. Carlsson,Gunnar; Memoli,Facundo,. 2013,. "Classifying Clustering Schemes.". FOUNDATIONS OF COMPUTATIONAL MATHEMATICS. 13,. no. 2,. 221-252 -. 221-252.. 2012. Memoli,Facundo,. 2012,. "Some Properties of Gromov-Hausdorff Distances.". DISCRETE & COMPUTATIONAL GEOMETRY. 48,. no. 2,. 416-440 -. 416-440.. Dabaghian,Y; Memoli,F; Frank,L; Carlsson,G,. 2012,. "A Topological Paradigm for Hippocampal Spatial Map Formation Using Persistent Homology.". PLOS COMPUTATIONAL BIOLOGY. 8,. no. 8,. e1002581 -. e1002581.. 2011. Memoli,Facundo,. 2011,. "Gromov-Wasserstein Distances and the Metric Approach to Object Matching.". FOUNDATIONS OF COMPUTATIONAL MATHEMATICS. 11,. no. 4,. 417-487 -. 417-487.. Memoli,Facundo,. 2011,. "A spectral notion of Gromov-Wasserstein distance and related methods.". APPLIED AND COMPUTATIONAL HARMONIC ANALYSIS. 30,. no. 3,. 363-401 -. 363-401.. 2010. Carlsson,Gunnar; Memoli,Facundo,. 2010,. "Characterization, Stability and Convergence of Hierarchical Clustering Methods.". JOURNAL OF MACHINE LEARNING RESEARCH. 11,. 1425-1470 -. 1425-1470.. Ovsjanikov,Maks; Merigot,Quentin; Memoli,Facundo; Guibas,Leonidas,. 2010,. "One Point Isometric Matching with the Heat Kernel.". COMPUTER GRAPHICS FORUM. 29,. no. 5,. 1555-1564 -. 1555-1564.. 2009. Chazal,Frederic; Cohen-Steiner,David; Guibas,Leonidas,J; Memoli,Facundo; Oudot,Steve,Y,. 2009,. "Gromov-Hausdorff Stable Signatures for Shapes using Persistence.". COMPUTER GRAPHICS FORUM. 28,. no. 5,. 1393-1403 -. 1393-1403.. 2008. Singh,Gurjeet; Memoli,Facundo; Ishkhanov,Tigran; Sapiro,Guillermo; Carlsson,Gunnar; Ringach,Dario,L,. 2008,. "Topological analysis of population activity in visual cortex.". JOURNAL OF VISION. 8,. no. 8,. 11 -. 11.. 2007. Moenning,C; Memoli,F; Sapiro,G; Dyn,N; Dodgson,N,A,. 2007,. "Meshless geometric subdivision.". GRAPHICAL MODELS. 69,. no. 3-4,. 160-179 -. 160-179.. 2005. Memoli,F; Sapiro,G,. 2005,. "Distance functions and geodesics on submanifolds of R-d and point clouds.". SIAM JOURNAL ON APPLIED MATHEMATICS. 65,. no. 4,. 1227-1260 -. 1227-1260.. Memoli,F; Sapiro,G,. 2005,. "A theoretical and computational framework for isometry invariant recognition of point cloud data.". FOUNDATIONS OF COMPUTATIONAL MATHEMATICS. 5,. no. 3,. 313-347 -. 313-347.. 2004. Memoli,F; Sapiro,G; Osher,S,. 2004,. "Solving variational problems and partial differential equations mapping into general target manifolds.". JOURNAL OF COMPUTATIONAL PHYSICS. 195,. no. 1,. 263-292 -. 263-292.. Facundo Memoli, Guillermo Sapiro, Paul Thompson,. 2004,. "Implicit Brain Imaging.". NeuroImage. 23,. 179-188 -. 179-188.. 2001. Memoli,F; Sapiro,G,. 2001,. "Fast computation of weighted distance functions and geodesics on implicit hyper-surfaces.". JOURNAL OF COMPUTATIONAL PHYSICS. 173,. no. 2,. 730-764 -. 730-764.. Presentations. "The shape space defined by the Gromov-Wasserstein distance.". 2014,. Presented at University of Bologna Math seminar,. "Curvature sets over persistence diagrams.". 2013,. Presented at Topological Data Analysis,. "The shape space defined by the Gromov-Wasserstein distance.". 2015,. Presented at Infinite-dimensional Riemannian geometry with applications to image matching and shape analysis,. "Persistence diagrams of metric measure spaces.". 2015,. Presented at New trends in optimal transport,. "Hierarchical clustering of asymmetric networks.". 2015,. Presented at Functoriality in Data Analysis,. "A spectral notion of distance between shapes.". 2015,. Presented at Center for Nonlinear Analysis Seminar. CMU,. "The Shape Space defined by the Gromov-Hausdorff distance.". 2015,. Presented at Geometry Seminar, Penn State,. "The classification of clustering schemes.". 2015,. Presented at The Geometry Luncheon Seminar, Penn State,. "Curvature sets over persistence diagrams.". 2014,. Presented at Low dimensional structure on high dimensional data,. "The shape space defined by the Gromov-Wasserstein distance.". 2014,. Presented at University of Georgia Geometry Seminar,. "Classifying clustering schemes.". 2014,. Presented at Institute for Mathematics and its Applications workshop: Topological systems: communications, sensing, and actuation,. "A spectral notion of distance between shapes.". 2014,. Presented at ICIAM scientific workshop,. "The shape space defined by the Gromov-Wasserstein distance.". 2014,. Presented at European Research Council Workshop on Optimal Transportation,. "Metric Geometry and Data Analysis.". 2014,. Presented at Southeast Geometry Symposium,. "Characterization, stability, and convergence of hierarchical clustering methods.". 2010,. Presented at Statistics department seminar -- University of Washington,. "Lower bounds for the Gromov-Hausdorff distance using persistent topology.". 2011,. Presented at SIAM Conference on Applied Algebraic Geometry,. "The Gromov-Wasserstein distance and lower bounds.". 2013,. Presented at Discrete Curvature,. "L^p Gromov-Hausdorff distances for shape comparison.". 2008,. Presented at Workshop on the Geometry and Statistics of shapes -- The Hausdorff institute,. "Gromov-Wasserstein distances for shape matching and connections with other approaches.". 2008,. Presented at CEREMADE Paris - Dauphine seminar,. "Stability of clustering methods.". 2008,. Presented at Workshop on Computational Algebraic Topology: Mathematisches Forschinginstitut Oberwolfach,. "L^p Gromov-Hausdorff distances for shape matching.". 2008,. Presented at UCLA Applied Math Colloquium,. "Spectral Gromov-Wasserstein distances for shape matching and the role of scale.". 2010,. Presented at SIAM Imaging Science 2010,. "Some properties of Gromov-Hausdorff distances.". 2011,. Presented at Shape Focused Research Group conference,. "The classification of clustering schemes.". 2011,. Presented at Dagstuhl seminar on Mathematical and Computational Foundations of Learning Theory,. "Metric geometry in Data Analysis.". 2011,. Presented at CAIP 2011 -- 14th International conference on Computational Foundations of Learning Theory,. "Probability measures on persistence diagrams.". 2015,. Presented at IFIP 2015,. "Shape matching using L^p Gromov-Hausdorff distances.". 2009,. Presented at Computer Science department seminar. The Johns Hopkins University,. "Gromov-Wasserstein distances and object matching.". 2009,. Presented at CMLA seminar (Centre pour le Mathematique et leurs applications seminaire),. "Gromov-Wasserstein stable signatures for object matching and the role of persistence.". 2009,. Presented at Workshop on recent advances on topological and geometric data analysis.,. "Gromov-Hausdorff stable signatures for shapes using persistence.". 2009,. Presented at Simposium on Geometry Processing 2009,. "A spectral notion of Gromov-Wasserstein distances.". 2009,. Presented at Yale Applied analysis seminar,. "The Gromov-Wasserstein distance and object matching.". 2010,. Presented at Center for Nonlinear Analysis seminar series, CMU,. "Metric geometry in shape analysis.". 2010,. Presented at AMS 2010 Fall Western section meeting,. "Some properties of Gromov-Hausdorff distances.". 2012,. Presented at Eight International conference on Mathematical Methods for Curves and Surfaces,. "Metric Geometry and Persistent Homology.". 2012,. Presented at ATMCS 2012 (Algebraic and Topological Methods in Computer Science),. "A metric geometry approach to object matching.". 2009,. Presented at Workshop on Data Analysis using Computational Topology and Geometric Statistics,. "Stability of Persistent Homology arising from Vietoris-Rips simplicial constructions.". 2010,. Presented at Topologia de Datos (Data Topology),. "Metric geometry for object matching.". 2010,. Presented at CVPR 2010,. "Some Metric Geometry ideas for Shape Matching.". 2010,. Presented at ACCV 2010 Area chair colloquium,. "Metric geometry in shape matching.". 2010,. Presented at NCSU - ECE Seminar,. "Persistent Homology and Metric Geometry.". 2012,. Presented at Banff workshop on Topological Data Analysis and Machine Learning,. "The classification of clustering methods I.". 2014,. Presented at Topology, Geometry, and Data Analysis seminar,. "The classification of clustering methods II.". 2014,. Presented at Topology, Geometry and Data Analysis Seminar,. "Some ideas for formalizing clustering schemes.". 2009,. Presented at NIPS 2009,. Persistent Homology of Finite Metric Spaces and its Stability.. 2015,. Presented at Encontro Regional de Topologia,. "The shape space defined by the Gromov-Wasserstein distance.". 2015,. Presented at Seminario de Geometria,. "Some metric geometry ideas for shape matching.". 2009,. Presented at Shape Focused Research Group Conference,. "The shape space defined by the Gromov-Wasserstein distance.". 2012,. Presented at Workshop on Geometry and Statistics in bioimaging: manifolds and stratified spaces,. "Curvature sets over persistence diagrams.". 2012,. Presented at Applied and Computational Topology,. "Spectral similarity of Shapes.". 2014,. Presented at Topology, Geometry and Data Analysis Seminar,. "Curvature set over persistence diagrams.". 2013,. Presented at Applied and Computational Topology,. "Multiscale Covariance Fields, Local Scales, and Shape Transforms.". 2015,. Presented at ICIAM 2015 (International congress on industrial and applied mathematics),. Papers in Proceedings2014. Diego Diaz Martinez, Facundo Memoli, Washington Mio. "Multiscale Covariance Fields, Local Scales, and Shape Transforms.". in Geometric Science of Information.. (1. 2014).. Gunnar Carlsson, Facundo Memoli, Alejandro Ribeiro, Santiago Segarra. "Hierarchical quasi-clustering methods for asymmetric networks.". in International conference on Machine Learning.. (7. 2014).. 2013. Gunnar Carlsson, Facundo Memoli, Alejandro Ribeiro, Santiago Segarra.. "Axiomatic construction of hierarchical clustering on asymmetric networks.". (5. 2013).. Gunnar Calrsson, Facundo Memoli, Alejandro Ribeiro, Santiago Segarra. "Alternative Axiomatic constructions for hierarchical clustering of asymmetric networks.". (12. 2013).. Gunnar Carlsson, Facundo Memoli, Alejandro Ribeiro, Santiago Segarra.. "Hierarchical clustering methods and algorithms for asymmetric networks.". (11. 2013).. 2011. Facundo Memoli. Metric structures on datasets: stability and classification of algorithms.. in 14th international conference on Computer analysis of images and patterns.. http://link.springer.com/chapter/10.1007/978-3-642-23678-5_1#page-1,. (9. 2011).. 2010. Gunnar Carlsson, Facundo Memoli. "Multiparameter hierarchical clustering methods.". in 11th IFCS Biennial Conference and 33rd Annual Conference of the Gesellschaft fr Klassifikation.. (5. 2010).. 2009. Facundo Memoli. "Spectral Gromov-Wasserstein distances for shape matching.". in ICCV 2009.. (12. 2009).. 2008. Gunnar Carlsson Facundo Memoli. "Stability of Clustering methods.". in ICCV workshop on Non-rigid Shape Analysis and Deformable Image Alignment.. (12. 2008).. Facundo Memoli. "Gromov-Hausdorff distances on Euclidean Spaces.". in Computer Vision and Pattern Recognition 2008. CVPR '08... (12. 2008).. Carlsson, G.; Memoli, F.. "Stability of Clustering methods.". in ICCV workshop on Non-rigid Shape Analysis and Deformable Image Alignment.. (12. 2008).. 2007. Facundo Memoli. "On the use of the Gromov-Hausdorff distance for shape matching.". in Eurographics Symposium on Point-Based Graphics.. (8. 2007).. Gurjeet Singh, Facundo Memoli, Gunnar Carlsson. "Topological methods for the analysis of high dimensional datasets and 3d object recognition.". in Point Based Graphics.. (8. 2007).. 2004. Facundo Memoli, Guillermo Sapiro. "Comparing Point Clouds.". in Simposium on Geometry Processing.. (12. 2004).. Unknown. Samir Chowdhury, Facundo Memoli. "Distances between directed networks and applications.". in ICASSP.. Samir Chowdhury, Facundo Memoli. "Metric structures on networks and applications.". in 53rd Annual Allerton Conference on Communication, Control, and Computing.. Tamal Dey, Facundo Memoli, Yusu Wang. "Multiscale Mapper: An Algorithm for Topological Summarization via Codomain Covers ..". in ACM-SIAM Symposium on Discrete Algorithms (SODA16).. Department ofComputer Science and Engineering395 Dreese Laboratories2015 Neil AvenueColumbus, OH 43210-1277(614) 292-5813 Phone(614) 292-2911 Fax. Support CSE. Invest in a Buckeye. Your gift will make a difference.. Connect. facebookyoutube. 2019 The Ohio State UniversityAccessibilityPrivacy PolicyHelpLogin. diff --git a/src/data/compiled_bios/4062.txt b/src/data/compiled_bios/4062.txt new file mode 100644 index 0000000000..99a75760a5 --- /dev/null +++ b/src/data/compiled_bios/4062.txt @@ -0,0 +1 @@ +Arnab Nandi. Associate Professor, SBS-Biomedical Informatics. Associate Professor, Computer Science & Engineering. 687 Dreese Laboratories. 2015 Neil Ave. Columbus,. OH. 43210. 614-292-6377. nandi.9@osu.edu. http://web.cse.ohio-state.edu/~arnab. Honors. February, 2015-February, 2020. NSF CAREER Award.. March, 2017. Best Paper Honorable Mention, IUI 2017.. June, 2016. Lumley Research Award.. June, 2016. Office of Outreach and Engagement Travel Award.. May, 2016. IEEE TCDE Early Career Award for contributions towards user-focused data interaction. ( 1 recipient internationally each year ).. January, 2015. Most Useful Idea (awarded for work Breathing Life into Database Textbooks.. January, 2013. CCC Best Paper Award - OIV Track.. July, 2012. Google Research Faculty Award.. August, 2008-August, 2010. Yahoo! Research PhD Fellowship.. Departmental Service Award.. Chapters2011. 2011.. "H.V. Jagadish, Arnab Nandi, and Li Qian.". In DATABASES IN NETWORKED INFORMATION SYSTEMS (DNIS 2011),. Journal Articles2017. Kamat, N.; Nandi, A.,. 2017,. "SESAME: A Session-Based Approach to Fast-But-Approximate Interactive Data Cube Exploration.". ACM Transactions on Knowledge Discovery from Data. 2015. Lilong Jiang, Arnab Nandi,. 2015,. "SnapToQuery: Providing Interactive Feedback during Exploratory Query Specification.". Very Large Data Bases. 8,. no. 11,. 1250-1261 -. 1250-1261.. 2013. Arnab Nandi, Lilong Jiang, Michael Mandel,. 2013,. "Gestural Query Specification.". Very Large Data Bases. 7,. no. 4,. 289-300 -. 289-300.. 2009. Nandi, A.; Bernstein, P.A.,. 2009,. "HAMSTER: Using search clicklogs for schema and taxonomy matching.". Proceedings of the VLDB Endowment. 2,. no. 1,. 181-192 -. 181-192.. Unknown. Khan, M.; Xu, L.; Nandi, A.; Hellerstein, J.,. "Data tweening: incremental visualization of data transforms.". Proceedings of the VLDB Endowment. Presentations. "JobsOhio Panel on IT.". 2016,. Presented at JobsOhio Panel on IT,. "Large Scale Data Cubing.". 2016,. Presented at ScaleTech Talk Series,. "Chasing Interactivity.". 2016,. Presented at ICDE,. "Building Interactive Database Systems.". 2016,. Presented at IBM India Research Lab,. "Querying Without Keyboards.". 2013,. Presented at Conference on Innovative Data Systems Research (CIDR),. "GestureDB: A Gestural Database System.". 2013,. Presented at The STEAM Factory Winter Market,. "Building Interactive Data Systems.". 2013,. Presented at IBM Research,. "Building Interactive Database Systems.". 2014,. Presented at Massachusetts Institute of Technology,. "Designing Interactive Query Interfaces to Teach Database Systems in the Classroom.". 2015,. Presented at CHI 2015,. "Building Interactive Database Systems.". 2015,. Presented at UC Berkeley,. "Systems Challenges in Gesture-Driven Data Exploration.". 2015,. Presented at IBM Almaden Research Lab,. "Challenges in Gesture-Driven Data Exploration.". 2015,. Presented at Samsung Research Labs,. "Challenges in Gesture-Driven Data Exploration.". 2015,. Presented at HP Research Labs,. "Querying Without Keyboards: GestureDB.". 2013,. Presented at NEC Labs America,. "Interactivity as a First-class Concept in Database Systems.". 2015,. Presented at SUNY Buffalo,. "Querying Without Keyboards.". 2015,. Presented at UC San Diego,. "Querying Without Keyboards: GestureDB.". 2013,. Presented at Trifacta Inc.,. "Querying Without Keyboards.". 2015,. Presented at Brown University,. "New Researchers Panel.". 2014,. Presented at SIGMOD 2014,. "Designing for Interaction: Broadening our View on Working with Data.". 2015,. Presented at VLDB 2015,. "SnapToQuery: Providing Interactive Feedback during Exploratory Query Specification..". 2015,. Presented at VDLB 2015,. "Assisted querying using instant-response interfaces (Demo).". 2007,. Presented at SIGMOD 2007,. "Using Search Clicklogs for Schema and Taxonomy Matching.". 2009,. Presented at VDLB 2009,. "University Explorations Interdisciplinary Panel.". 2014,. Presented at University Explorations Interdisciplinary Panel,. "Effective Phrase Prediction.". 2007,. Presented at VDLB 2007,. "The Interactive Join.". 2013,. Presented at CHI 2013 Works in Progress,. "GestureQuery: A Multitouch Database Query Interface (Demo).". 2013,. Presented at VDLB 2013,. "Distinguished Lecture.". 2014,. Presented at APWeb,. "Large Scale Interactive Analytics.". 2013,. Presented at Nationwide Data Analytics Group,. "Guided Interaction over Large Datasets.". 2012,. Presented at Carnegie Mellon University,. "OSU.". 2012,. Presented at Joint Workshop between Battelle and Ohio State on Big Data and Cyber-security,. "Building Interactive Database Systems.". 2015,. Presented at Purdue University,. "Breathing Life into Database Textbooks.". 2015,. Presented at Conference on Innovative Data Systems Research,. "Beyond Binary Gestures: Exploring Documents using Touch Interfaces.". 2015,. Presented at CHI 2015,. "Piloting Interactive Exhibits in the Academic Research Library.". 2015,. Presented at Symposium on Information Technology in the Arts and Humanities,. "GestureDB: Querying Without Keyboards.". 2013,. Presented at Technicolor Labs, Palo Alto,. "Large Scale Interactive Analytics.". 2013,. Presented at OSU Technology Commercialization Office,. Papers in Proceedings2018. Rahman, P.; Hebert, C.; Nandi, A.. "Enabling effective data interaction for domain experts.". (7. 2018).. Jiang, L.; Rahman, P.; Nandi, A.. "Evaluating interactive data systems: Workloads, metrics, and guidelines duration: 1.5 hrs.". (5. 2018).. 2017. Kennedy, O.; Hipp, D.R.; Idreos, S.; Marian, A. et al.. "Small Data (Panel).". (1. 2017).. Omidvar-Tehrani, B.; Flanagan, D.; Meyer, N.; Young, S. et al.. "DV8: Interactive Analysis of Aviation Data.". in ICDE (demo).. (4. 2017).. Beltran, J.F.; Huang, Z.; Abouzied, A.; Nandi, A.. "Don't just swipe left, tell me why: Enhancing gesture-based feedback with reason bins.". (3. 2017).. Omidvar-Tehrani, B.; Nandi, A.; Meyer, N.; Flanagan, D. et al.. "DV8: Interactive Analysis of Aviation Data.". (1. 2017).. Kennedy, O.; Hipp, D.R.; Idreos, S.; Marian, A. et al.. "Small Data (Panel).". in IEEE 33rd International Conference on Data Engineering (ICDE).. (1. 2017).. Omidvar-Tehrani, B.; Nandi, A.; Meyer, N.; Flanagan, D. et al.. "DV8: Interactive Analysis of Aviation Data.". in IEEE 33rd International Conference on Data Engineering (ICDE).. (1. 2017).. Sarwat, M.; Nandi, A.. "On designing a GeoViz-aware database system - Challenges and opportunities.". (1. 2017).. Kennedy, O.; Hipp, D.R.; Idreos, S.; Marian, A. et al.. "Small data (panel).". (5. 2017).. Omidvar-Tehrani, B.; Nandi, A.; Meyer, N.; Flanagan, D. et al.. "DV8: Interactive analysis of aviation data.". (5. 2017).. Sarwat, M.; Nandi, A.. "On Designing a GeoViz-Aware Database System - Challenges and Opportunities.". in 15th International Symposium on Spatial and Temporal Databases (SSTD).. (1. 2017).. Sarwat, M.; Nandi, A.. "On Designing a GeoViz-Aware Database System - Challenges and Opportunities.". (1. 2017).. 2016. Niranjan Kamat, Eugene Wu, Arnab Nandi. "TrendQuery: A System for Interactive Exploration of Trends.". in HILDA: Human In The Loop Data Analytics.. (6. 2016).. Nandi, A.; Mandernach, M.. "Hackathons as an informal learning platform.". (2. 2016).. Ebenstein, R.; Kamat, N.; Nandi, A.. "FluxQuery: An execution framework for highly interactive query workloads.". (6. 2016).. Kamat, N.; Wu, E.; Nandi, A.. "TrendQuery: A system for interactive exploration of trends.". (6. 2016).. Liang, J.; Fuhry, D.; Maung, D.; Borstad, A. et al.. "Data Analytics Framework for A Game-based Rehabilitation System.". (1. 2016).. Liang, J.; Fuhry, D.; Maung, D.; Borstad, A. et al.. "Data Analytics Framework for A Game-based Rehabilitation System.". in 6th International Conference on Digital Health (DH).. (1. 2016).. Liang, J.; Fuhry, D.; Maung, D.; Borstad, A. et al.. "Data analytics framework for a game-based rehabilitation system.". (4. 2016).. Arnab Nandi, Meris Mandernach. "Hackathons as an Informal Learning Platform.". in ACM SIGCSE.. (3. 2016).. Arnab Nandi, Carsten Binnig, Alan Fekete. "First Annual Workshop on Human-in-the-Loop Data Analytics (Front Matter).". in Human-in-the-Loop Data Analytics (HILDA 2016).. (6. 2016).. Roee Ebenstein, Niranjan Kamat, Arnab Nandi. "FluxQuery: An Execution Framework for Highly Interactive Query Workloads.". in ACM SIGMOD 2016.. (5. 2016).. 2015. Jiang, L.; Nandi, A.. "Designing interactive query interfaces to teach database systems in the classroom.". (4. 2015).. Lilong Jiang, Arnab Nandi. "Designing Interactive Query Interfaces to Teach Database Systems in the Classroom.". in CHI 2015 Works in Progress.. (4. 2015).. Eugene Wu, Arnab Nandi. "Towards Perception-aware Interactive Data Visualization Systems.". in Data Systems for Interactive Analysis (DSIA @ VIS) Workshop 2015.. (10. 2015).. Huang, Z.; Beltran, J.F.; Abouzeid, A.; Nandi, A.. "Beyond binary gestures: Exploring documents using touch interfaces.". (4. 2015).. Jagadish, H.V.; Qian, L.; Nandi, A.. "Organic databases.". (1. 2015).. Nandi, A.; Huang, Z.; Cao, M.; Elsner, M. et al.. "Interactive tweaking of text analytics dashboards.". in Databases in Networked Information Systems.. (3. 2015).. Nandi, Arnab, Huang, Ziqi, Cao, Man, Elsner, Micha, Jiang, Lilong, Parthasarathy, Srinivasan, Venkatachalam, Ramiya. "Interactive tweaking of text analytics dashboards.". in Databases in Networked Information Systems.. (3. 2015).. Ziqi Huang, Juan Felipe Beltran, Azza Abouzied, Arnab Nandi. "Beyond Binary Gestures: Exploring Documents using Touch Interfaces.". in CHI 2015 Works in Progress.. (4. 2015).. Manirupa Das, Micha Elsner, Arnab Nandi, Rajiv Ramnath. "TopChurn: Maximum Entropy Churn Prediction Using Topic Models Over Heterogeneous Signals.". in World Wide Web Conference Web Science.. (5. 2015).. Jiongqian Liang, David Fuhry, David Maung, Roger Crawfis, Lynne Gauthier, Arnab Nandi, Srinivasan Parthasarathy. "Data Analytics Framework for A Game-based Rehabilitation System.". in SDM Workshop on Data Mining for Medicine and Healthcare 2015.. (6. 2015).. Akash Das Sarma, Ayush Jain, Arnab Nandi, Aditya G. Parameswaran, Jennifer Widom. "JellyBean: Crowd-Powered Image Counting Algorithms.". in HCOMP 2015, San Diego, CA, USA.. (11. 2015).. 2014. Kamat,Niranjan; Jayachandran,Prasanth; Tunga,Karthik; Nandi,Arnab. "Distributed and Interactive Cube Exploration.". in IEEE 30th International Conference on Data Engineering (ICDE).. (1. 2014).. Kamat, N.; Jayachandran, P.; Tunga, K.; Nandi, A.. "Distributed and Interactive Cube Exploration.". in IEEE 30th International Conference on Data Engineering (ICDE).. (1. 2014).. Kamat, N.; Jayachandran, P.; Tunga, K.; Nandi, A.. "Distributed and interactive cube exploration.". (1. 2014).. Jayachandran, P.; Tunga, K.; Kamat, N.; Nandi, A.. "Combining user interaction, speculative query execution and sampling in the DICE system.". (1. 2014).. Kamat, N.; Jayachandran, P.; Tunga, K.; Nandi, A. et al.. "Distributed and Interactive Cube Exploration.". (1. 2014).. Yi Wang, Gagan Agrawal, Arnab Nandi. "SAGA: Array Storage as a DB with Support for Structural Aggregations.". in SSDBM 2014.. (2. 2014).. Wang, Y.; Nandi, A.; Agrawal, G.. "SAGA: Array storage as a DB with support for structural aggregations.". (1. 2014).. 2013. Nandi,Arnab; Paparizos,Stelios; Shafer,John,C; Agrawal,Rakesh. "With a Little Help from My Friends.". in 29th IEEE International Conference on Data Engineering (ICDE) Demonstration.. (1. 2013).. David Fuhry, Yang Zhang, Venu Satuluri, Arnab Nandi, Srinivasan Parthasarathy. "PLASMA-HD: Probing the LAttice Structure and MAkeup of High-dimensional Data (Demo).". in Very Large Data Bases.. (9. 2013).. Arnab Nandi. "Querying Without Keyboards (Best Paper: OIV Track).". in CIDR.. (1. 2013).. Nandi, A.; Mandel, M.. "The Interactive Join: Recognizing Gestures for Database Queries.". (4. 2013).. Prasanth Jayachandran, Karthik Tunga, Niranjan Kamat, Arnab Nandi. "Combining User Interaction, Speculative Query Execution and Sampling in the DICE System (Demo).". in Very Large Data Bases.. (1. 2013).. Nandi, A.; Paparizos, S.; Shafer, J.C.; Agrawal, R. et al.. "With a Little Help from My Friends.". (1. 2013).. Nandi, A.; Paparizos, S.; Shafer, J.C.; Agrawal, R.. "With a little help from my friends.". (8. 2013).. Nandi, A.; Paparizos, S.; Shafer, J.C.; Agrawal, R.. "With a Little Help from My Friends.". in 29th IEEE International Conference on Data Engineering (ICDE).. (1. 2013).. Lilong Jiang, Michael Mandel, Arnab Nandi. "GestureQuery: A Multitouch Database Query Interface (demo).". in Very Large Data Bases.. (8. 2013).. Arnab Nandi, Michael Mandel. "The Interactive Join: Recognizing Gestures for Database Queries (WIP Track).". in CHI 2013.. (5. 2013).. 2012. Singh, M.; Nandi, A.; Jagadish, H.V.. "Skimmer: Rapid scrolling of relational query results.". (6. 2012).. Manish Singh, Arnab Nandi, H.V. Jagadish. "Skimmer: Rapid Scrolling of Relational Query Results.". in ACM SIGMOD 2012.. (6. 2012).. 2011. Nandi,Arnab; Yu,Cong; Bohannon,Philip; Ramakrishnan,Raghu. "Distributed Cube Materialization on Holistic Measures.". in IEEE 27th International Conference on Data Engineering (ICDE 2011).. (1. 2011).. Jagadish,H,V; Nandi,Arnab; Qian,Li. "Organic Databases.". in 7th International Workshop on Databases in Networked Information Systems (DNIS 2011).. (1. 2011).. Nandi, A.; Yu, C.; Bohannon, P.; Ramakrishnan, R. et al.. "Distributed Cube Materialization on Holistic Measures.". (1. 2011).. Nandi, A.; Yu, C.; Bohannon, P.; Ramakrishnan, R.. "Distributed Cube Materialization on Holistic Measures.". in IEEE 27th International Conference on Data Engineering (ICDE 2011).. (1. 2011).. Nandi, A.; Yu, C.; Bohannon, P.; Ramakrishnan, R.. "Distributed cube materialization on holistic measures.". (6. 2011).. 2009. Nandi,Arnab; Bernstein, Philip. "Using Search Clicklogs for Schema and Taxonomy Matching.". in VLDB 2009, Lyon, France.. (8. 2009).. Nandi,Arnab; Jagadish, HV. "Qunits: Queried Units in Database Search.". in CIDR 2009.. (1. 2009).. 2007. Nandi, A.; Jagadish, H.V.. "Effective phrase prediction.". (1. 2007).. Arnab Nandi, HV Jagadish. "Effective Phrase Prediction.". in VLDB 2007.. (8. 2007).. Arnab Nandi, HV Jagadish. "Assisted Querying Using Instant Response Interfaces (Demo).". in ACM SIGMOD 2007.. (6. 2007).. Nandi, A.; Jagadish, H.V.. "Assisted querying using instant-response interfaces.". (10. 2007).. Jagadish, H.V.; Chapman, A.; Elkiss, A.; Jayapandian, M. et al.. "Making database systems usable.". (10. 2007).. 2005. Soumen Chakrabarti, Jeetendra Mirchandani, Arnab Nandi. "Searching Personal Information Networks (Demo).". in ACM SIGMOD 2005.. (8. 2005).. Unknown. Omidvar-Tehrani, B., Nandi, A., Young, SB, Meyer, N., Flanagan, D.,. DV8: Interactive Analysis of Aviation Data.. in 2017 IEEE International Conference on Data Engineering.. http://icde2017.sdsc.edu/protected-page?destination=node/43&back=conference-proceedings&protected_page=1,. Niranjan Kamat, Prasanth Jayachandran, Karthik Tunga, Arnab Nandi. "Distributed Interactive Cube Exploration [fullpaper].". Huang, Z.; Beltran, J.; Abouzeid, A.; Nandi, A.. "Dont Just Swipe Left, Tell Me Why: Enhancing Gesture-based Feedback with Reason Bins.". in ACM Conference on Intelligent User Interfaces (IUI).. Patents. Arnab Nandi, Lilong Jiang.. "Providing Interactive Feedback During Exploratory Query Specification.". Arnab Nandi, Roee Ebenstein, Niranjan Kamat.. "An Execution Framework For Highly Interactive Query Workloads.". Arnab Nandi, Niranjan Kamat.. "Stratified Random Sampling From Both Sides Of A Join.". Department ofComputer Science and Engineering395 Dreese Laboratories2015 Neil AvenueColumbus, OH 43210-1277(614) 292-5813 Phone(614) 292-2911 Fax. Support CSE. Invest in a Buckeye. Your gift will make a difference.. Connect. facebookyoutube. 2019 The Ohio State UniversityAccessibilityPrivacy PolicyHelpLogin. diff --git a/src/data/compiled_bios/4063.txt b/src/data/compiled_bios/4063.txt new file mode 100644 index 0000000000..b40a4e0e45 --- /dev/null +++ b/src/data/compiled_bios/4063.txt @@ -0,0 +1 @@ +Xia Ning. Assistant Professor, Computer Science & Engineering. Assistant Professor, SBS-Biomedical Informatics. 1800 Cannon Drive. 310C. Columbus,. OH. 43210. ning.104@osu.edu. Department ofComputer Science and Engineering395 Dreese Laboratories2015 Neil AvenueColumbus, OH 43210-1277(614) 292-5813 Phone(614) 292-2911 Fax. Support CSE. Invest in a Buckeye. Your gift will make a difference.. Connect. facebookyoutube. 2019 The Ohio State UniversityAccessibilityPrivacy PolicyHelpLogin. diff --git a/src/data/compiled_bios/4064.txt b/src/data/compiled_bios/4064.txt new file mode 100644 index 0000000000..674cc4885f --- /dev/null +++ b/src/data/compiled_bios/4064.txt @@ -0,0 +1 @@ +Dhabaleswar Panda. Professor, Computer Science & Engineering. 785 Dreese Laboratories. 2015 Neil Ave. Columbus,. OH. 43210. 614-292-5199. panda.2@osu.edu. http://web.cse.ohio-state.edu/~panda. Honors. January, 2011. Innovator Award.. January, 1997-January, 2010. American Men & Women of Science (AMWS).. January, 1997-January, 2010. Who'sWho in America.. January, 2010. Keynote Speaker.. January, 2010. Best Paper, Int'l Supercomputing Conference (ISC '10), Hamburg, Germany.. January, 2009. Plenary Speaker, Int'l Cluster Computing Conference (Cluster '09), New Orleans.. January, 2008. Keynote Speaker, Int'l Workshop on System Management Techniques, Processes and Services (SMPTS '08).. January, 2008. Best Paper.. January, 2008. Plenary Speaker, Int'l Cluster Computing Conference (Cluster '08), Tsukuba, Japan.. January, 2007. Best Paper, Int'l Cluster Computing Conference (Cluster '07).. January, 2007. Fellow.. January, 2006. Keynote Speaker, Int'l Conference on Parallel and Distributed Systems (ICPADS '06).. January, 2006. Outstanding Teaching Award.. January, 2006. Lumley Research Award.. January, 2004. Invited Visit to Capitol Hill, Washington, DC,Demonstration of InfiniBand Research and its Benefitsto High-End Computing.. January, 2003. Best Paper (Jointly with Dr. Jarek Nieplocha and Vinod Tipparaju).. January, 2002. Keyonte Speaker,.. January, 2001. Lumley Research Award.. January, 1997-January, 2000. IEEE Distinguished Visitors Program Speaker.. January, 2000. Keynote Speaker.. January, 1997-January, 2000. IEEE Chapter Tutorials Program Speaker.. January, 1998. Ameritech Faculty Fellow Award.. January, 1998. Keynote Speaker.. January, 1997. Golden Core Member.. January, 1997. Lumley Research Award.. January, 1996. Meritorious Service Certificate.. January, 1995. NSF CAREER Award.. January, 1993. Research Initiation Award.. January, 1992. Outstanding Faculty Recognition Award.. January, 1988-January, 1989. Graduate Student Recognition Award, Best Teaching Assistant.. January, 1988. J. Watumull Scholarship, One of four TOP students enrolled at the University of Southern California from Eastern India.. January, 1984-January, 1985. Prof. S. V. C. Aiya Gold Medal, Best M. S. student.. January, 1979. Certificate of Merit, 12th rank in the All India Joint EntranceExamination} (taken by over 60,000 candidates) for admission to undergraduate programs at the I. I. Ts... Edited Books1999. 1999.. "Proceedings of the 1999 International Conference on Parallel Processing (ICPP 99).". IEEE Computer Society Press.. 1999.. "Proceedings of the 1999 ICPP Workshops.". IEEE Computer Society Press.. 1998. 1998.. "Proceedings of the Second International Workshop on Communication, Architecture, and Applications for Network-based Parallel Computing (CANPC98), Lecture Notes in Computer Science.". Springer-Verlag.. 1997. 1997.. "Proceedings of the First International Workshop on Communication and Architectural Support for Network-based Parallel Computing (CANPC97), Lecture Notes in Computer Science.". Springer-Verlag.. Chapters2011. 2011.. "InfiniBand.". In Encyclopedia of Parallel Computing,. 2011.. "Network Support for Collective Communication.". In Encyclopedia of Parallel Computing,. 2009. 2009.. "Commodity High Performance Interconnects.". In Attaining High Performance Communication: A Vertical Approach,. edited by Ada Gavrilovska,. 1999. 1999.. "Distributed Memory Parallel Systems.". In Wiley Encyclopedia of Electrical and Electronics Engineering,. 1991. 1991.. "The USC Orthogonal Multiprocessor for Image Understanding.". In Parallel Architectures and Algorithms for Image Understanding,. edited by V. K. Prasanna Kumar,. Journal Articles2006. P. Balaji, W. Feng and D. K. Panda,. 2006,. "The Convergence of Ethernet and Ethernot: A 10-Gigabit Ethernet Perspective.". IEEE Micro Special Issue on High Performance Interconnect. Vol. 26, No. 3.,. 24-40 -. 24-40.. 2005. H.-W. Jin, P. Balaji, C. Yoo, J. Y. Choi, and D. K. Panda,. 2005,. "Exploiting NIC Architectural Support for Enhancing IP based Protocols on High Performance Networks.". Journal of Parallel and Distributed Computing (JPDC). 1348-1365 -. 1348-1365.. G. Santhanaraman, J. Wu, W. Huang, and D. K. Panda,. 2005,. "Zero-Copy MPI Derived Datatype Communication over InfiniBand: Alternative Approaches and Performance Evaluation.". International Journal of High Performance Computing Applications (IJHPCA). 19, Number 2 Special issue with Best Papers of Euro PVM/MPI 2004,. 129-142 -. 129-142.. 2001. M. Banikazemi, R. Govindaraju, R. Blackmore, and D. K. Panda,. 2001,. "Implementing Efficient MPI on LAPI for the IBM SP System.". IEEE Transactions on Parallel and Distributed Systems. 12 No. 10,. 1081-1093 -. 1081-1093.. 2000. R. Sivaram, C. B. Stunkel, and D. K. Panda,. 2000,. "Architectural Support for Efficient Multicasting in Irregular Networks.". IEEE Transactionson Parallel and Distributed Systems. 11, No. 8,. 794-812 -. 794-812.. 1998. D. Basak and D. K. Panda,. 1998,. "Alleviating Consumption Channel Bottleneck in k-ary n-cube Wormhole Routed Systems.". IEEE Transactions on Parallel and Distributed Systems. 9, No. 5,. 481-496 -. 481-496.. 1997. D. K. Panda and L. M. Ni,. 1997,. "Guest Editors Introduction, Special Issue (Volume II) on Workstation Clusters and Network-based Computing.". Journal of Parallel and Distributed Computing. 1-2 -. 1-2.. D. K. Panda and L. M. Ni,. 1997,. "Guest Editors Introduction, Special Issue (Volume I) on Workstation Clusters and Network-based Computing.". Journal of Parallel and Distributed Computing. 1-4 -. 1-4.. 1995. L. Ni and D. K. Panda,. 1995,. "A Report of the ICPP 94 Panel on Sea of Interconnection Networks: Whats Your Choice?.". IEEE Technical Committee on Computer Architecture (TCCA) Newsletter. 31-44 -. 31-44.. D. K. Panda,. 1995,. "Guest Editors Introduction, Special issue on Interconnection Networks for High Performance Computing Systems.". IEEE Technical Committee on Computer Architecture (TCCA) Newsletter. 9 -. 9.. 1994. D. K. Panda,. 1994,. "Guest Editors Introduction, Special issue on Interconnection Networks for High Performance Computing Systems.". IEEE Technical Committee on Computer Architecture (TCCA) Newsletter. 12-13 -. 12-13.. 1991. K. Hwang and D. K. Panda,. 1991,. "Architectural Design of Orthogonal Multiprocessor for Multidimensional Information Processing.". Journal of Information Science and Engineering. Special Issue on Parallel processing,. 459-485 -. 459-485.. Papers in Proceedings2011. X. Ouyang, D. Nellans, R. Wipfel, D. Flynn and D. K. Panda. "Beyond Block I/O: Rethinking Traditional Storage Primitives.". in 17th IEEE International Symposium on High Performance Computer Architecture (HPCA-17), Commercial Track.. (2. 2011).. Kandalla, K.; Subramoni, H.; Tomko, K.; Pekurovsky, D. et al.. "High-performance and scalable non-blocking all-to-all with collective offload on InfiniBand clusters: A study with parallel 3D FFT.". (6. 2011).. K. Kandalla, H. Subramoni, K. Tomko, D. Pekurovsky, S. Sur and D. K. Panda. "High-Performance and Scalable Non-Blocking All-to-All with Collective Offload on InfiniBand Clusters: A Study with Parallel 3D FFT.". in Int'l Supercomputing Conference (ISC).. (6. 2011).. Kandalla, K.; Subramoni, H.; Tomko, K.; Pekurovsky, D. et al.. "High-performance and scalable non-blocking all-to-all with collective offload on InfiniBand clusters: a study with parallel 3D FFT.". (6. 2011).. X. Ouyang, R. Rajachandrasekar, X. Besseron and D. K. Panda. "High Performance Pipelined Process Migration with RDMA.". in Int'l Symposium on Cluster, Cloud, and Grid Computing (CCGrid 2011).. (5. 2011).. Wang, H.; Potluri, S.; Luo, M.; Singh, A.K. et al.. "MVAPICH2-GPU: Optimized GPU to GPU communication for InfiniBand clusters.". (6. 2011).. H. Wang, S. Potluri, M. Luo, A. Singh, S. Sur and D. K. Panda. "MVAPICH2-GPU: Optimized GPU to GPU Communication for InfiniBand Clusters.". in Int'l Supercomputing Conference (ISC).. (6. 2011).. Wang, H.; Potluri, S.; Luo, M.; Singh, A.K. et al.. "MVAPICH2-GPU: optimized GPU to GPU communication for InfiniBand clusters.". (6. 2011).. 2010. X. Ouyang, S. Marcarelli and D. K. Panda. "Enhancing Checkpoint Performance with Staging IO and SSD.". in IEEE International Workshop on Storage Network Architecture and Parallel I/Os (SNAPI '10).. (5. 2010).. J. Jose, M. Luo, S. Sur and D. K. Panda. "Unifying UPC and MPI Runtimes: Experience with MVAPICH.". in Int'l Workshop on Partitioned Global Address Space (PGAS '10).. (10. 2010).. P. Lai, S. Sur and D. K. Panda. "Truly One-Sided MPI-2 RMA Intra-node Communication on Multi-core Systems.". in International Computing Conference (ISC'10).. (6. 2010).. S. Potluri, P. Lai, K. Tomko, S. Sur, Y. Cui, M. Tatineni,K. Schulz, W. Barth, A. Majumdar and D. K. Panda. "Quantifying Performance Benefits of Overlap using MPI-2 in a Seismic Modeling Application.". in 24th International Conference on Supercomputing (ICS).. (6. 2010).. H. Subramoni, P. Lai, S. Sur and D. K. Panda. "Improving Application Performance and Predictability using MultipleVirtual Lanes in Modern Multi-Core InfiniBand Clusters.". in Int'l Conference on Parallel Processing (ICPP '10).. (9. 2010).. H. Subramoni, P. Lai, R. Kettimuthu and D. K. Panda. "High Performance Data Transfer in Grid Environment Using GridFTP over InfiniBand.". in Int'l Symposium on Cluster Computing and the Grid (CCGrid).. (5. 2010).. M. Koop, P. Shamis, I. Rabinovitz and D. K. Panda. "Designing High-Performance and Resilient Message Passing on InfiniBand.". in Int'l Workshop on Communication Architecture for Clusters (CAC 10), held in conjunction with IPDPS '10.. (4. 2010).. K. Kandalla, H. Subramoni, A. Vishnu and D. K. Panda. "Designing Topology-Aware Collective Communication Algorithms for Large Scale InfiniBand Clusters: Case Studies with Scatter and Gather.". in Int'l Workshop on Communication Architecture for Clusters (CAC 10).. (4. 2010).. S. Sur, H. Wang, J. Huang, X. Ouyang and D. K. Panda. "Can High-Performance Interconnects Benefit Hadoop Distributed File System?.". in Workshop on Micro Architectural Support for Virtualization, Data Center Computing, and Clouds, held in conjunction with Micro 2010.. (12. 2010).. Jose, J.; Luo, M.; Sur, S.; Panda, D.K.. "Unifying UPC and MPI runtimes: Experience with MVAPICH.". (12. 2010).. Kandalla, K.; Mancini, E.P.; Sur, S.; Panda, D.K.. "Designing power-aware collective communication algorithms for infiniband clusters.". (12. 2010).. K. Kandalla, E. Mancini, S. Sur and D. K. Panda. "Designing Power-Aware Collective Communication Algorithms for InfiniBandClusters.". in Int'l Conference on Parallel Processing (ICPP '10).. (9. 2010).. M. Luo, S. Potluri, P. Lai, E. P. Mancini, H. Subramoni,K. Kandalla, S. Sur and D. K. Panda. "High Performance Design and Implementation of Nemesis CommunicationLayer for Two-sided and One-Sided MPI Semantics in MVAPICH2.". in Int'l Workshop on Parallel Programming Models and SystemsSoftware for High-End Computing (P2S2 '10), in Conjunction with ICPP '10.. (9. 2010).. X. Ouyang, S. Marcarelli, R. Rajachandrasekar and D. K. Panda. "RDMA-Based Job Migration Framework for MPI over InfiniBand.". in Int'l Conference on Cluster Computing (Cluster '10).. (9. 2010).. H. Subramoni, K. Kandalla, S. Sur and D. K. Panda. "Design and Evaluation of Generalized Collective Communication Primitives with Overlap using ConnectX-2 Offload Engine.". in Int'l Symposium on Hot Interconnect.. (8. 2010).. Subramoni, H.; Lai, P.; Sur, S.; Panda, D.K.. "Improving application performance and predictability using multiple virtual lanes in modern multi-core InfiniBand clusters.". (12. 2010).. Y. Cui, K. B. Olsen, T. H. Jordan, K. Lee, J. Zhou, P. Small, D. Roten, G. Ely, D. K. Panda, A. Chourasia, J. Levesque, S. M. Day, P. Maechling. "Scalable Earthquake Simulation on Petascale Supercomputers,.". in SuperComputing (SC).. (11. 2010).. E. P. Mancini, G. Marsh and D. K. Panda. "An MPI-Stream Hybrid Programming Model for Computational Clusters.". in Int'l Symposium on Cluster Computing and the Grid (CCGrid).. (5. 2010).. 2009. Sridhar, J.K.; Panda, D.K.. "Impact of node level caching in MPI job launch mechanisms.". (11. 2009).. M. Koop, M. Luo and D. K. Panda. "Reducing Network Contention with Mixed Workloads on ModernMulticore Clusters.". in Int'l Conference on Cluster Computing (Cluster '09).. (9. 2009).. G. Santhanaraman, T. Gangadharappa, S. Narravula, A. Mamidala and D. K. Panda. "Design Alternatives for Implementing Fence Synchronization in MPI-2One-sided Communication on InfiniBand Clusters.". in Int'l Conference on Cluster Computing (Cluster '09).. (9. 2009).. Sridhar, J.K.; Panda, D.K.. "Impact of Node Level Caching in MPI Job Launch Mechanisms.". (1. 2009).. A. Vishnu, M. Krishnan and D. K. Panda. "An Efficient Hardware-Software Approach to Network FaultTolerance with InfiniBand.". in Int'l Conference on Cluster Computing (Cluster '09).. (9. 2009).. J. Sridhar and D. K. Panda. "Impact of Node Level Caching in MPI Job Launch Mechanisms.". in EuroPVM/MPI '09.. (9. 2009).. H. Subramoni, M. Koop and D. K. Panda. "Designing Next Generation Clusters:Evaluation of InfiniBand DDR/QDR on Intel Computing Platforms.". in Int'l Symposium on Hot Interconnects (HotI).. (8. 2009).. P. Lai, H. Subramoni, S. Narravula, A. Mamidala and D. K. Panda. "Designing Efficient FTP Mechanisms for High Performance Data-Transfer over InfiniBand.". in Int'l Conference on Parallel Processing (ICPP '09).. (9. 2009).. J. Sridhar, M. Koop, J. Perkins and D. K. Panda. "TupleQ: Fully-Asynchronous and Zero-Copy MPI over InfiniBand.". in Intl Parallel and Distributed Processing Symposium (IPDPS).. (5. 2009).. Sridhar, J.K.; Panda, D.K.. "Impact of Node Level Caching in MPI Job Launch Mechanisms.". in 16th European Parallel-Virtual-Machine-and-Message-Passing-Interface-Users-Group Meeting (PVM/MPI).. (1. 2009).. X. Ouyang, K. Gopalakrishnan, T. Gangadharappa and D. K. Panda. "Fast Checkpointing by Write Aggregation with Dynamic Buffer andInterleaving on Multicore Architecture.". in Int'l Conference on High Performance Computing (HiPC '09).. (12. 2009).. Lai, P.; Subramoni, H.; Narravula, S.; Mamidala, A. et al.. "Designing efficient FTP mechanisms for high performance data-transfer over infiniband.". (12. 2009).. R. Gupta, P. Beckman, H. Park, E. Lusk, P. Hargrove, A. Geist, D. K. Panda, A. Lumsdaine and J. Dongarra. "CIFTS: A Coordinated Infrastructure for Fault-Tolerant Systems.". in Int'l Conference on Parallel Processing (ICPP '09).. (9. 2009).. H. Subramoni, P. Lai, M. Luo and D. K. Panda. "RDMA over Ethernet - A Preliminary Study.". in Int'l Workshop on High Performance Distributed Computing (HPI-DC '09).. (8. 2009).. T. Gangadharappa, M. Koop and D. K. Panda. "Designing and Evaluating MPI-2 Dynamic Process Management Support for InfiniBand.". in Int'l Workshop on Parallel Programming Models and SystemsSoftware for High-End Computing (P2S2 '09), in conjunction with ICPP '09.. (9. 2009).. X. Ouyang, K. Gopalakrishnan and D. K. Panda. "Accelerating Checkpoint Operation by Node-Level WriteAggregation on Multicore Systems.". in Int'l Conference on Parallel Processing (ICPP '09).. (9. 2009).. 2008. R. Noronha, X. Ouyang and D. K. Panda. "Designing High Performance pNFS With RDMAon InfiniBand.". in Intl Symposium on High Performance Computing (HiPC).. (12. 2008).. A. Mamidala, R. Kumar, D. De and D. K. Panda. "MPI Collectives on modern Multicoreclusters: Performance Optimizations and Communication Characteristics.". in Intl Symposiumon Cluster Computing and the Grid (CCGrid).. (5. 2008).. Koop, M.J.; Jones, T.; Panda, D.K.; IEEE,. "MVAPICH-Aptus: Scalable high-performance multi-transport MPI over InfiniBand.". (1. 2008).. M. Koop, R. Kumar and D. K. Panda. "Can Software Reliability Outperform Hardware Reliabilityon High Performance Interconnects? A Case Study with MPI over InfiniBand.". in 22nd ACM International Conference on Supercomputing (ICS 08).. (6. 2008).. H. Subramoni, G. Marsh, S. Narravula, P. Lai and D. K. Panda. "Design and Evaluation of Benchmarks for Financial Applications using Advanced Message Queuing Protocol (AMQP)over InfiniBand.". in Workshop on High Performance Computational Finance (In conjunction with SC 08).. (11. 2008).. Balaji, P.; Bhagvat, S.; Thakur, R.; Panda, D.K.. "Sockets Direct Protocol for Hybrid Network Stacks: A Case Study with iWARP over 10G Ethernet.". in 15th International Conference on High Performance Computing (HiPC 2008).. (1. 2008).. R. Kumar, A. Mamidala, M. Koop, G. Santhanaraman D. K. Panda. "Lock-free Asynchronous Rendezvous Design for MPI Point-to-point Communication.". in Euro PVM/MPI 08.. (9. 2008).. W. Huang, M. Koop and D. K. Panda. "Efficient One-Copy MPI Shared Memory Communicationin Virtual Machines (Best Paper Award).". in IEEE Cluster 2008.. (9. 2008).. P. Lai, S. Narravula, K. Vaidyanathan and D. K. Panda. "Advanced RDMA-based Admission Control for Modern Data-Centers.". in Intl Symposium on Cluster Computing and the Grid (CCGrid).. (5. 2008).. M. Koop, W, Huang, K. Gopalakrishnan and D. K. Panda. "Performance Analysis and Evaluationof PCIe 2.0 and Quad-Data Rate InfiniBand.". in Intl Symposium on Hot Interconnects(HotI).. (8. 2008).. S. Narravul, H. Subramoni, P. Lai, R. Noronha and D. K. Panda. "Performance of HPC middleware over InfiniBand WAN.". in Intl Conference on Parallel Processing (ICPP 08).. (9. 2008).. K. Vaidyanathan, S. Narravula, P.Lai and D. K. Panda. "Optimized Distributed Data Sharing Substrate in Multi-Core Commodity Clusters: A Comprehensive Study with Applications.". in Intl Symposium on Cluster Computing and the Grid (CCGrid).. (5. 2008).. Balaji, P.; Bhagvat, S.; Thakur, R.; Panda, D.K.. "Sockets Direct Protocol for Hybrid Network Stacks: A Case Study with iWARP over 10G Ethernet.". (1. 2008).. L. Chai, P. Lai, H.-Y. Jin and D. K. Panda. "Designing An Efficient Kernel-level and User-level Hybrid Approach for MPI Intra-node Communication on Multi-core Systems.". in Intl Conferenceon Parallel Processing (ICPP 08).. (9. 2008).. P. Lai, S. Narravula, K. Vaidyanathan and D. K. Panda. "Advanced RDMA-based Admission Control for Modern Data-Centers.". in Intl Symposium on Cluster Computing and the Grid (CCGrid).. (5. 2008).. R. Noronha and D. K. Panda. "IMCa: A High Performance Caching Frontend for GlusterFS on InfiniBand.". in Intl Conference on Parallel Processing (ICPP 08).. (9. 2008).. Balaji, P.; Bhagvat, S.; Thakur, R.; Panda, D.K.. "Sockets direct protocol for hybrid network stacks: A case study with iWARP over 10G ethernet.". (1. 2008).. Koop, M.J.; Jones, T.; Panda, D.K.. 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"Multicasting in Irregular Networks with Cut-Through Switches using Tree-Based Multidestination Worms.". in Parallel Computing, Routing, and Communication Workshop, (PCRCW97).. (1. 1997).. Kesavan, R.; Panda, D.K.. "Optimal multicast with packetization and network interface support.". (1. 1997).. Kesavan, R.; Panda, D.K.. "Optimal multicast with packetization and network interface support.". in 1997 International Conference on Parallel Processing.. (1. 1997).. Kesavan, R.; Bondalapati, K.; Panda, D.K.; SOC, I.C.. "Multicast on irregular switch-based networks with wormhole routing.". (1. 1997).. 1996. R. Kesavan and D. K. Panda. "Minimizing Node Contention in Multiple Multicast on Wormhole k-ary n-cube Networks.". in International Conference on Parallel Processing.. (8. 1996).. D. Basak, D. K. Panda, M. Banikazemi. "Benefits of Processor Clustering in Designing Large Parallel Systems: When and How?.". in Proc. of the International Parallel Processing Symposium.. (4. 1996).. R. Sivaram, D. K. Panda, and C. B. Stunkel. "Efficient Broadcast and Multicast on Multistage Interconnection Networks using Multiport Encoding.". in Proceedings of the Eighth IEEE Symposium on Parallel and Distributed Computing.. (10. 1996).. D. Basak and D. K. Panda. "Designing Processor-cluster Based Systems: Interplay Between Cluster Organizations and Collective Communication Algorithms.". in International Conference on Parallel Processing.. (8. 1996).. D. Dai and D. K. Panda. "Reducing Cache Invalidation Overheads in Wormhole DSMs using Multidestination Message Passing.". in International Conference on Parallel Processing.. (8. 1996).. N. S. Sundar, D. N. Jayasimha, D. K. Panda, and P. Sadayappan. "Hybrid Algorithms for Complete Exchange in 2D Meshes.". in Proceedings of the International Conference on Supercomputing.. (5. 1996).. 1995. D. K. Panda. "Fast Barrier Synchronization in Wormhole k-ary n-cube Networks with Multidestination Worms.". in Proc. of the International Symposium on High Performance Computer Architecture.. (1. 1995).. D. K. Panda. "Global Reduction in Wormhole k-ary n-cube Networks with Multidestination Exchange Worms.". in Proc. of the International Parallel Processing Symposium.. (4. 1995).. Panda, D.K.. "Issues in designing efficient and practical algorithms for collective communication on wormhole-routed systems.". (1. 1995).. Y.-C. Tseng, S. K. S. Gupta, and D. K. Panda. "An Efficient Scheme for Complete Exchange in 2D Tori.". in Proc. of the International Parallel Processing Symposium.. (4. 1995).. M. Mandal, D. N. Jayasimha, D. K. Panda, and P. Sadayappan. "Reusable Single-Assignment Variables in a Distributed Shared Memory System.". in Proc. of the International Conference on High Performance Computing.. (12. 1995).. Panda, D.K.. "Issues in designing efficient and practical algorithms for collective communication on wormhole-routed systems.". in 1995 ICPP Workshop on Challenges for Parallel Processing.. (1. 1995).. D. K. Panda. "Issues in Designing Efficient and Practical Algorithms for Collective Communicationin Wormhole-Routed Systems.". in Proc. of the 1995 ICPP Workshop on Challenges for Parallel Processing.. (1. 1995).. 1994. Panda, D.K.; Singal, S.; Prabhakaran, P.. "Multidestination message passing mechanism conforming to base wormhole routing scheme.". (1. 1994).. R. Prakash and D. K. Panda. "Architectural Issues in Designing Heterogeneous Parallel Systems with Passive Star-Coupled Optical Interconnection (Outstanding Paper Award).". in Proc. of the International Symposiumon Parallel Architectures, Algorithms and Networks.. (12. 1994).. D. K. Panda, S. Singal and P. Prabhakaran. "Multidestination Message Passing Mechanism Conforming to Base Wormhole Routing Scheme.". in Proc. of the Parallel Routing and Communication Workshop.. (5. 1994).. D. K. Panda and V. A. Dixit-Radiya. "Message-Ordering for Wormhole-Routed Multiport Systems with Link Contention and Routing Adaptivity.". in Proc. of the Scalable High Performance Computing Conference.. (5. 1994).. D. Basak and D. K. Panda. "Designing Large Hierarchical Multiprocessor Systems under Processor, Interconnection, and Packaging Advancements.". in Proc. of the International Conferenceon Parallel Processing.. (8. 1994).. V. A. Dixit-Radiya and D. K. Panda. "Clustering and Intra-Processor Scheduling for Explicitly-Parallel Programs on Distributed-Memory Systems.". in Proc. of the International Parallel Processing Symposium.. (4. 1994).. D. K. Panda and D. Basak. "Issues in Designing Scalable Systems with k-ary n-cube cluster-c organization.". in Proc. of the International Workshop on Parallel Processing.. (12. 1994).. 1993. D. Basak and D. K. Panda. "Scalable Architecture with k-ary n-cube cluster-c Organizations.". in Proc. of the Symposium on Parallel and Distributed Processing.. (12. 1993).. Y. C. Tseng and D. K. Panda. "A Trip-based Multicasting Model for Wormhole-routed Networks with Virtual Channels.". in Proc. of the International Parallel Processing Symposium.. (4. 1993).. D. K. Panda. "Optimal Phase Barrier Synchronization in k-ary n-cube Wormhole-routed Systems using Multirendezvous Primitives.". in Workshop on Fine-Grain Massively Parallel Coordination, International Symposium on Computer Architecture.. (5. 1993).. S. Balakrishnan and D. K. Panda. "Impact of Multiple Consumption Channels on Wormhole Routed k-ary n-cube Networks.". in Proc. of the International Parallel Processing Symposium.. (4. 1993).. S. K. S. Gupta and D. K. Panda. "Barrier Synchronization in Distributed-Memory Multiprocessors using Rendezvous Primitives.". in Proc. of the International Parallel Processing Symposium.. (4. 1993).. T. Mzaik, S. Chandra, J. M. Jagadeesh, and D. K. Panda. "Analysis of Routing in Pyramid Architectures.". in Proc. of the IEEE National Aerospace and Electronics Conference (NAECON).. (5. 1993).. V. A. Dixit-Radiya and D. K. Panda. "Task Assignment in Distributed-Memory Systems with Adaptive Wormhole Routing.". in Proc. of the Symposium on Parallel and Distributed Processing.. (12. 1993).. 1991. PANDA, D.K.; HWANG, K.. "MESSAGE VECTORIZATION FOR CONVERTING MULTICOMPUTER PROGRAMS TO SHARED-MEMORY MULTIPROCESSORS.". in INTERNATIONAL CONF ON PARALLEL PROCESSING.. (1. 1991).. PANDA, D.K.; HWANG, K.. "MESSAGE VECTORIZATION FOR CONVERTING MULTICOMPUTER PROGRAMS TO SHARED-MEMORY MULTIPROCESSORS.". (1. 1991).. D. K. Panda and K. Hwang. "Message Vectorization for Converting Multicomputer Programs to Shared-Memory Multiprocessors.". in Proc. of the 1991 International Conference on Parallel processing.. (8. 1991).. 1990. S. Mehrotra, C. M. Cheng, Kai Hwang, M. Dubois, and D. K. Panda. "Algorithm-Driven Simulation and Performance Projection of a RISC-based Orthogonal Multiprocessor.". in Proc.of the International Conference on Parallel Processing.. (8. 1990).. PANDA, D.K.; HWANG, K.. "RECONFIGURABLE VECTOR REGISTER WINDOWS FOR FAST MATRIX COMPUTATION ON THE ORTHOGONAL MULTIPROCESSOR.". in INTERNATIONAL CONF ON APPLICATION SPECIFIC ARRAY PROCESSORS ( ASAP-90 ).. (1. 1990).. PANDA, D.K.; HWANG, K.. "RECONFIGURABLE VECTOR REGISTER WINDOWS FOR FAST MATRIX COMPUTATION ON THE ORTHOGONAL MULTIPROCESSOR.". (1. 1990).. D. K. Panda and K. Hwang. "A Multiple-Bus Network for Implementing Very-Large Neural Networks with Back-Propagation Learning.". in Proc. of the International Joint Conference on Neural Networks.. (1. 1990).. K. Hwang, M. Dubois, D. K. Panda, S. Rao, S. Shang, A. Uresin, W. Mao, H. Nair, M. Lytwyn, F. Hsieh, J. Liu, S. Mehrotra and C. M. Cheng. "OMP: A RISC-based Multiprocessorusing Orthogonal-Access Memories and Multiple Spanning Buses.". in Proc. of the ACMInternational Conference on Supercomputing.. (6. 1990).. PANDA, D.K.; HWANG, K.. "A MULTIPLE-BUS NETWORK FOR IMPLEMENTING VERY-LARGE NEURAL NETWORKS WITH BACK-PROPAGATION LEARNING.". in INTERNATIONAL JOINT CONF ON NEURAL NETWORKS ( IJCNN-90 ).. (1. 1990).. K. Hwang, D. K. Panda, and N. Haddadi. "The USC Orthogonal Multiprocessor for Image Processing with Neural Networks.". in Proc. of the 1990 SPIE/SPSE Symposium on Electronic Imaging.. (2. 1990).. D. K. Panda and K. Hwang. "Reconfigurable Vector Register Windows for Fast Matrix Computation On The Orthogonal Multiprocessor.". in Proc. of the International Conference on Application Specific Array Processor.. (9. 1990).. D. K. Panda and K. Hwang. "Reconfigurable Vector Register Windows for Fast Matrix Computation On The Orthogonal Multiprocessor.". in Proc. of the International Conference on Application Specific Array Processor.. (9. 1990).. PANDA, D.K.; HWANG, K.. "A MULTIPLE-BUS NETWORK FOR IMPLEMENTING VERY-LARGE NEURAL NETWORKS WITH BACK-PROPAGATION LEARNING.". (1. 1990).. 1989. K. Hwang and D. K. Panda. "High-Radix Symbolic Substitution Rules for Optical Arithmetic using Redundant Code,.". in Proc. of the 9th Symposium on Computer Arithmetic.. (9. 1989).. M. Eshaghian, D. K. Panda and V. K. Prasanna Kumar. "Resource Requirements for 2-DImage Convolution in Electro-Optical Systems.". in Proc. of the 1989 Topical Meetings on Optical Computing,.. (3. 1989).. Department ofComputer Science and Engineering395 Dreese Laboratories2015 Neil AvenueColumbus, OH 43210-1277(614) 292-5813 Phone(614) 292-2911 Fax. Support CSE. Invest in a Buckeye. Your gift will make a difference.. Connect. facebookyoutube. 2019 The Ohio State UniversityAccessibilityPrivacy PolicyHelpLogin. diff --git a/src/data/compiled_bios/4065.txt b/src/data/compiled_bios/4065.txt new file mode 100644 index 0000000000..0707b66061 --- /dev/null +++ b/src/data/compiled_bios/4065.txt @@ -0,0 +1 @@ +Srinivasan Parthasarathy. Professor, SBS-Biomedical Informatics. Professor, Computer Science & Engineering. 691 Dreese Laboratories. 2015 Neil Ave. Columbus,. OH. 43210. 614-292-2568. parthasarathy.2@osu.edu. http://web.cse.ohio-state.edu/~srini/. Honors. July, 2012-August, 2012. Google Research Award.. January, 2011. Elected to Steering Committee of SIAM Data Mining.. January, 2010. Lumley Research Award.. January, 2010. IBM Faculty Award.. January, 2010. Best Paper Award Nomination.. January, 2009. Best Challenge Entry Award.. January, 2009. Google Research Award.. January, 2009. Award Nomination.. January, 2007. Best of IEEE International Conference on Data Mining 2006.. January, 2007. Best Paper Award (Applied Research).. January, 2007. IBM Faculty Fellowship Award.. January, 2006. Award Nomination.. January, 2005. Best Research Paper Award.. January, 2005. Lumley Research Award.. January, 2005. Best of SIAM Data Mining.. January, 2004. NSF CAREER Award.. January, 2004. Early Career Principal Investigator Award.. January, 2003. Best Paper Award.. January, 2002. Best Paper Award (Applied Research).. January, 2001. Ameritech Faculty Fellowship.. January, 1992. STEP Award for Best Undergraduate Honors Project at IIT Roorkee... Edited Books2009. 2009.. "Proceedings of the 9th SIAM International Conference on Data Mining.". SIAM Press.. Chapters2011. 2011.. "Community Discovery in Social Networks: Applications, Methods and Emerging Trends.". In Social Network Data Analytics,. edited by Charu Aggarwal,. 2009. 2009.. "A Survey on Mining Biological Graphs.". In Graph Mining,. edited by C. Aggarwal,. 2008. 2008.. "Architecture Conscious Data Mining: Current Progress and Future Outllook.". In Next Generation Data Mining,. edited by H. Kargupta et al.,. 2006. 2006.. "A Survey of Distributed Mining of Data Streams.". In Data Streams: Models and Algorithms,. edited by C. Aggarwal,. 2004. 2004.. "Mining of Complex Evolutionary Phenomena.". In Next Generation Data Mining,. edited by H. Kargupta, K. Sivakumar and A. Joshi,. 2002. 2002.. "On the Use of Temporally Constrained Associations for Web Log Mining.". In Mining Web Data for Usage Patterns and Profiles,. edited by B. Masand et al.,. 2000. 2000.. "Sequence Mining in Dynamic and Interactive Environments.". In Knowledge Discovery for Business Information Systems,. edited by W. Abramowicz and J. Zurada,. 2000.. "Facilitating Data Mining on a Network of Workstations.". In Advances in Distributed and Parallel Knowledge Discovery,. edited by P. Chan and H. Kargupta,. 1997. 1997.. "Customized Dynamic Load Balancing for Cluster Computing.". In High Performance Cluster Computing: Architectures and Systems: Volume 1,. edited by R. Buyya,. Journal Articles2013. Fuhry, D.; Zhang, Y.; Satuluri, V.; Nandi, A. et al.,. 2013,. "PLASMA-HD: Probing the LAttice structure and MAkeup of highdimensional data.". Proceedings of the VLDB Endowment. 6,. no. 12,. 1318-1321 -. 1318-1321.. 2010. G. Orair, C. Teixeira, Y. Wang, W. Meira and S. Parthasarathy,. 2010,. Distance Based Outlier Detection: Consolidation and Renewed Bearing.. PVLDB Journal. 3,. no. 1,. 1469-1480 -. 1469-1480.. Orair, G.H.; Teixeira, C.H.C.; Meira, W.; Wang, Y. et al.,. 2010,. "Distance-based outlier detection: Consolidation and renewed bearing.". Proceedings of the VLDB Endowment. 3,. no. 2,. 1469-1480 -. 1469-1480.. 2009. B-C Ooi and S. Parthasarathy,. 2009,. Data Management on Cloud Computing Platforms: Guest Editorial.. IEEE Technical Bulletin on Data Engineering. 32,. no. 1,. 1-82 -. 1-82.. Tatikonda, S.; Parthasarathy, S.,. 2009,. "Mining rree-structured data on multicore systems.". Proceedings of the VLDB Endowment. 2,. no. 1,. 694-705 -. 694-705.. 2008. M. Zaki, N. Ramakrishnan and S. Parthasarathy,. 2008,. Guest Editorial: Biological Data Mining.. Scientific Programming. 16,. no. 1,. 3-77 -. 3-77.. K. Marsolo, M. Twa, M. Bullimore and S. Parthasarathy,. 2008,. Biomedical Data Mining.. Encyclopedia of Geographical Information Systems. 57-63 -. 57-63.. S. Parthasarathy and B. Liu,. 2008,. Guest Editorial: Special Issue of Best Papers of SIAM Data Mining 2007.. Statistical Analysis and Data Mining : A Journal of the American Statistical Association. 1,. no. 1,. 4-51 -. 4-51.. H. Yang and S. Parthasarathy,. 2008,. Patterns in Spatio-Temporal Data.. Encyclopedia of Geographical Information Systems. 851-854 -. 851-854.. Parthasarathy, S.; Liu, B.,. 2008,. "Guest editorial.". Statistical Analysis and Data Mining. 1,. no. 1,. 4-5 -. 4-5.. 2007. H. Yang, S. Parthasarathy and D. Ucar,. 2007,. A spatio-temporal mining approach towards summarizing and analyzing protein folding trajectories... Algorithms For Molecular Biology: AMB. 3,. no. 2,. Electronic access (link below), 16 pages -. Electronic access (link below), 16 pages.. 2005. M. Twa , S. Parthasarathy S, C. Roberts, A. Mahmoud, T. Raasch and M. Bullimore,. 2005,. "Automated decision tree classification of corneal shape..". Optometry And Vision Science: Official Publication Of The American Academy Of Optometry. 82,. no. 12,. 1038-1046 -. 1038-1046.. S. Parthasarathy, W. Wang and M. Zaki,. 2005,. BIOKDD Workshop Report.. ACM Special Interest Group on Knowledge Discovery and Data Mining Newsletter. 7,. no. 2,. 129-131 -. 129-131.. 2001. S. Parthasarathy and R. Subramonian,. 2001,. "An Interactive Resource-Aware Framework for Distributed Data Mining.". IEEE Technical Committee on Distributed Processing Letters. 24-32 -. 24-32.. S. Parthasarathy, M. Zaki, M. Ogihara and W. Li,. 2001,. Parallel data mining for association rules on shared-memory systems.. Knowledge and Information Systems. 3,. no. 1,. 1-29 -. 1-29.. 1999. V. Gupta, S. Parthasarathy and M. Zaki,. 1999,. "Arithmetic and Logic Operations with DNA.". American Mathematical Society Series in Discrete Mathematics and Theoretical Computer Science. 48,. 149-159 -. 149-159.. 1997. M. Zaki, S. Parthasarathy, M. Ogihara, and W. Li,. 1997,. "Parallel algorithms for discovery of association rules.". Data Mining and Knowledge Discovery. 1,. no. 4,. 343-373 -. 343-373.. Unknown. Roy, S.; Clemons, T.; Faisal, S.M.; Liu, K. et al.,. "Elastic Fidelity: Trading-off Computational Accuracy for Energy. Reduction.". Clemons, T.; Faisal, S.M.; Tatikonda, S.; Aggarawl, C. et al.,. "Hash in a Flash: Hash Tables for Solid State Devices.". Purohit, H.; Ruan, Y.; Fuhry, D.; Parthasarathy, S. et al.,. "On the Role of Social Identity and Cohesion in Characterizing Online. Social Communities.". Roychowdhury, A.,. "Accelerated Stochastic Quasi-Newton Optimization on Riemann Manifolds.". Presentations. "Incremental Mining of Frequent Itemsets & On the Role of Data Mining in BiomedicalInformatics: A tale of two projects.". 2002,. Presented at Lawrence Livermore National Laboratories Seminar Series,. "Invited Speaker: Resource-Aware Data Mining.". 2002,. Presented at Warren Neel Conference on the New Frontiers of Statistical Data Mining, Knowledge Discovery and E-Business,. "Mining Protein Interaction Networks.". 2006,. Presented at National University of Singapore Seminar Series,. "Invited Speaker: Architecture Conscious Data Mining: Current Progress and Future Outlook.". 2007,. Presented at NSF Next Generation Data Mining 2007,. "High Performance Data Mining on Modern and Emerging Architectures.". 2007,. Presented at IBM T. J. Watson Seminar Series,. "Analyzing Protein Interaction Networks: A Case for Ensemble Clustering.". 2008,. Presented at National University of Singapore Seminar Series,. "Towards Visual Knowledge Discovery and Analytics.". 2008,. Presented at University of Melbourne Seminar Series,. Toward Scalable Stochastic Flow Algorithms.. 2011,. Presented at Laboratory d;Informatique de Grenoble,. "Invited Speaker: Resource and Location Aware Data Mining.". 2001,. Presented at Institute for Operations Research and Management Sciences Annual Conference (INFORMS),. "High Performance Data Mining.". 2004,. Presented at Intel Research Seminar Series,. "Data Mining on Modern and Emerging Architectures.". 2005,. Presented at Indian Institute of Technology, Madras (Chennai), Seminar Series,. "Invited Tutorial: High Performance Data Mining: Consolidation and Renewed Bearing.". 2006,. Presented at Conference on the Management of Data (COMAD),. "High Performance Data Mining.". 2006,. Presented at Central State University,. "Invited Keynote: Analyzing Protein Interaction Networks: A Case for Ensemble Clustering.". 2007,. Presented at IEEE ICDM Workshop on Bioinformatics,. "Invited Keynote: Mining and Managing Tree Structured Data Efficiently.". 2008,. Presented at High Performance Data Mining Workshop,. "Exploiting Structural and Spatial Relationships in Analyzing Biomedical Datasets.". 2004,. Presented at Institute for Operations Research and Management Sciences Annual Conference,,. "Invited Speaker: Dynamic Classification of Defect Structures in Molecular Dynamics Simulation Data.". 2005,. Presented at Interface Conference,. "Data Mining on Modern and Emerging Architectures.". 2005,. Presented at Carnegie Mellon University, Database Seminar Series,. "Analyzing Protein Interaction Networks: A Case for Ensemble Clustering.". 2007,. Presented at University of Notre Dame, Computer Science Seminar Series,. "New Results in Architecture-aware and High Performance Data Mining.". 2008,. Presented at University of Reading, Systems Seminar Series,. "Towards Visual Knowledge Discovery and Analytics.". 2008,. Presented at Brasser Distinguished Seminar Series at the University of Sydney,. "Towards Visual Knowledge Discovery and Analytics.". 2008,. Presented at National University of Singapore Seminar Series,. "Faculty Recruiting Talk: Active Mining in a Distributed Setting.". 2000,. Presented at Ohio State Univ.; Penn State Univ.; Rochester Institute of Tech; Rutgers Univ.; SUNY Buffalo; Univ. of Chicago; Univ. of Delaware; Univ. of Illinois; Univ. of Rochester; Univ. Texas at Dallas; and U. Toronto.,. "Invited Speaker: Novel Algorithms for Anomaly Detection using Machine Learning.". 2005,. Presented at Institute for Operations Research and Management Sciences Annual Conference (INFORMS),. "Invited Speaker: High Performance Data Mining: Cache and I/O Conscious Algorithms.". 2005,. Presented at First Bertinoro Workshop on Data Mining,. "Invited Speaker: Architecture Conscious Data Mining: Current Progress and Future Outlook.". 2007,. Presented at NIPS Workshop on Scalable Machine Learning,. "Invited Speaker: Analyzing Protein Interaction Networks: A Case for Ensemble Clustering.". 2007,. Presented at Institute for Pure and Applied Mathematics, UCLA,. "Architecture Conscious Data Mining: Current Progress and Future Outlook.". 2008,. Presented at National University of Singapore, Seminar Series,. "Towards Visual Knowledge Discovery and Analytics.". 2009,. Presented at Wright State University, Knoesis and Computer Science Seminar Series,. "Invited Keynote: Architecture Conscious Data Mining: Consolidation and Renewed Bearing.". 2009,. Presented at Brazilian National Symposium on Databases (WAAMD),. Papers in Proceedings2017. Parthasarathy, S.; Sivakoff, D.; Tian, M.; Wang, Y.. "A quest to unravel the metric structure behind perturbed networks.". in Symposium on Computational Geometry (SoCG).. (1. 2017).. 2016. Mahajan, D.; Kolathur, V.; Bansal, C.; Parthasarathy, S. et al.. "Hashtag Recommendation for Enterprise Applications.". (1. 2016).. Mahajan, D.; Kolathur, V.; Bansal, C.; Parthasarathy, S. et al.. "Hashtag recommendation for enterprise applications.". (10. 2016).. Mahajan, D.; Kolathur, V.; Bansal, C.; Parthasarathy, S. et al.. "Hashtag Recommendation for Enterprise Applications.". in 25th ACM International Conference on Information and Knowledge Management (CIKM).. (1. 2016).. Bandyopadhyay, B.; Fuhry, D.; Chakrabarti, A.; Parthasarathy, S.. "Topological Graph Sketching for Incremental and Scalable Analytics.". in 25th ACM International Conference on Information and Knowledge Management (CIKM).. (1. 2016).. Bandyopadhyay, B.; Fuhry, D.; Chakrabarti, A.; Parthasarathy, S.. "Topological graph sketching for incremental and scalable analytics.". (10. 2016).. Bandyopadhyay, B.; Fuhry, D.; Chakrabarti, A.; Parthasarathy, S. et al.. "Topological Graph Sketching for Incremental and Scalable Analytics.". (1. 2016).. 2015. Liu, X.; Parthasarathy, S.; Shen, H.W.; Hu, Y.. "GalaxyExplorer: Influence-driven visual exploration of context-specific social media interactions.". (5. 2015).. Faisal, S.M.; Tziantzioulis, G.; Gok, A.M.; Hardavellas, N. et al.. "Edge importance identification for energy efficient graph processing.". (12. 2015).. Faisal, S.M.; Tziantzioulis, G.; Gok, A.M.; Hardavellas, N. et al.. "Edge Importance Identification for Energy Efficient Graph Processing.". in IEEE International Conference on Big Data.. (1. 2015).. Liu, X.; Parthasarathy, S.; Shen, H-W.; Hu, Y.. "GalaxyExplorer: Influence-Driven Visual Exploration of Context-Specific Social Media Interactions.". in 24th International Conference on World Wide Web (WWW).. (1. 2015).. Buehrer, G.; De Oliveira, R.L.; Fuhry, D.; Parthasarathy, S.. "Towards a parameter-free and parallel itemset mining algorithm in linearithmic time.". (1. 2015).. Faisal, S.M.; Tziantzioulis, G.; Gok, A.M.; Hardavellas, N. et al.. "Edge Importance Identification for Energy Efficient Graph Processing.". (1. 2015).. Liu, X.; Parthasarathy, S.; Shen, H-W.; Hu, Y. et al.. "GalaxyExplorer: Influence-Driven Visual Exploration of Context-Specific Social Media Interactions.". (1. 2015).. 2014. Jr, L.R.; Veloso, A.; Pereira, A.; Jr, M.W. et al.. "Economically-Efficient Sentiment Stream Analysis.". (1. 2014).. Loureno, R.; Veloso, A.; Pereira, A.; Meira, W. et al.. "Economically-efficient sentiment stream analysis.". (1. 2014).. Obradovic, Z.; Zaki, M.J.; Kamath, C.; Parthasarathy, S.. "Welcome letters.". (1. 2014).. Ruan, Y.; Parthasarathy, S.. "Simultaneous detection of communities and roles from large networks.". (1. 2014).. Lourenco, R.; Veloso, A.; Pereira, A.; Meira, W. et al.. "Economically-Efficient Sentiment Stream Analysis.". in 37th Annual International ACM Special Interest Group on Information Retrieval Conference on Research and Development in Information Retrieval.. (1. 2014).. Shih, Y.K.; Kim, S.; Ruan, Y.; Cheng, J. et al.. "Component detection in directed networks.". (1. 2014).. 2013. Shih, Y.K.; Parthasarathy, S.. "Identifying protein complexes in AP-MS data with negative evidence via soft markov clustering.". (11. 2013).. Clemons, T.; Faisal, S.M.; Tatikonda, S.; Aggarwal, C. et al.. "Hash in a flash: Hash tables for flash devices.". (12. 2013).. Clemons, T.; Faisal, S.M.; Tatikonda, S.; Aggarwal, C. et al.. "Hash in a Flash: Hash Tables for Flash Devices.". in IEEE International Conference on Big Data (Big Data).. (1. 2013).. Clemons, T.; Faisal, S.M.; Tatikonda, S.; Aggarwal, C. et al.. "Hash in a Flash: Hash Tables for Flash Devices.". (1. 2013).. 2012. Zhang, Y.; Parthasarathy, S.; IEEE,. "Extracting Analyzing and Visualizing Triangle K-Core Motifs within Networks.". (1. 2012).. Zhang, Y.; Parthasarathy, S.. "Extracting Analyzing and Visualizing Triangle K-Core Motifs within Networks.". in 28th IEEE International Conference on Data Engineering (ICDE).. (1. 2012).. Yang, X.; Ghoting, A.; Ruan, Y.; Parthasarathy, S.. "A framework for summarizing and analyzing twitter feeds.". (9. 2012).. Zhang, Y.; Parthasarathy, S.. "Extracting analyzing and visualizing triangle K-core motifs within networks.". (7. 2012).. 2011. Wang, Y.; Parthasarathy, S.; Tatikonda, S.; IEEE,. "Locality Sensitive Outlier Detection: A Ranking Driven Approach.". (1. 2011).. Satuluri, V.; Parthasarathy, S.. "Symmetrizations for clustering directed graphs.". (4. 2011).. Satuluri, V.; Parthasarathy, S.; Ruan, Y.. "Local graph sparsification for scalable clustering.". (7. 2011).. X. Yang, S. Parthasarathy and P. Sadayappan. "Fast Sparse Matrix Vector Multiplication on GPUS: Implications for Graph Mining.". in VLDB Conference, 2011.. (9. 2011).. Wang, Y.; Parthasarathy, S.; Tatikonda, S.. "Locality sensitive outlier detection: A ranking driven approach.". (6. 2011).. Yu-Keng Shih and Srinivasan Parthasarathy. "Scalable Multiple Global Network Alignment for Biological Data.". in ACM Bioinformatics (BCB).. (1. 2011).. V. Satuluri, S. Parthasarathy and Y. Ruan. Local Graph Sparsification for Scalable Clustering.. in ACM Conference on Management of Data (SIGMOD).. http://www.informatik.uni-trier.de/~ley/db/conf/sigmod/sigmod2011.html#SatuluriPR11,. (6. 2011).. Wang, Y.; Parthasarathy, S.; Tatikonda, S.. "Locality Sensitive Outlier Detection: A Ranking Driven Approach.". in IEEE 27th International Conference on Data Engineering (ICDE 2011).. (1. 2011).. R. Sakellariou, S. Orlando, J. Larriba-Pey, S. Parthasarathy and D. Zeinalipour-Yazti. "Parallel and Distributed Data Management.". in Europeam Parallel Processing Conference (EuroPar).. (1. 2011).. V. Satuluri and S. Parthasarathy. Symmetrizations for Clustering Directed Graphs.. in International Conference on Extending Database Technology.. http://www.informatik.uni-trier.de/~ley/db/conf/edbt/edbt2011.html#SatuluriP11,. (3. 2011).. Y. Wang, S. Parthasarathy and S. Tatikonda. Locality Sensitive Outlier Detection: A Ranking Driven Approach.. in International Conference on Data Engineering.. http://www.informatik.uni-trier.de/~ley/db/conf/icde/icde2011.html#WangPT11,. (4. 2011).. Shih, Y.K.; Parthasarathy, S.. "Scalable multiple global network alignment for biological data.". (12. 2011).. Di Fatta, G.; Liotta, A.; Agoulmine, N.; Agrawal, G. et al.. "Preface.". (12. 2011).. 2010. G. Buehrer, S. Parthasarathy, and S. Tatikonda. "A Distributed Placement Service for Graph- Structured and Transactional Datasets.". in ACM Symposium on Principles and Practice of Parallel Programming.. (1. 2010).. Patel, D.; Hsu, W.; Lee, M.L.; Parthasarathy, S.. "Lag patterns in time series databases.". (11. 2010).. G. Orair, C. Teixeira, Y. Wang, W. Meira and S. Parthasarathy. "Distance Based outlier Detection: Consolidation and Renewed Bearing.". in Very Large Databases Conference.. (10. 2010).. Tatikonda, S.; Parthasarathy, S.; IEEE,. 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Mining Frequent Itemsets in Evolving Databases.. in SIAM International Conference on Data Mining (SDM'02).. http://www.informatik.uni-trier.de/~ley/db/conf/sdm/sdm2002.html#VelosoMCPPZ02,. (1. 2002).. Parthasarathy, S.. "Efficient progressive sampling for association rules.". (12. 2002).. Veloso, A.; Gusmo, B.; Meira, W.; Carvalho, M. et al.. "Efficiently mining approximate models of associations in evolving databases.". (12. 2002).. Parthasarathy, S.. "Efficient progressive sampling for association rules.". (1. 2002).. M. Otey, R. Noronha, G. Li, S. Parthasarathy, D. Panda. "NIC-based Intrusion Detection: A feasibility study.". in Workshop on Data Mining for Cyber Threat Analysis.. (1. 2002).. H. Yang, S. Parthasarathy and S. Reddy. "On the use of temporally constrained associations for web log mining.". in Workshop on Web Mining for Usage Patterns and User Profiles (WEBKDD).. (1. 2002).. Veloso, A.A.; Meira, W.; de Carvalho, M.B.; Possas, B. et al.. "Mining frequent iternsets in evolving databases.". (1. 2002).. S. Parthasarathy and M. Coatney. Efficient Discovery of Common Substructures in Macromolecules.. in IEEE International Conference on Data Mining (ICDM).. http://www.informatik.uni-trier.de/~ley/db/conf/icdm/icdm2002.html#ParthasarathyC02,. (1. 2002).. S. Parthasarathy and A. Ramakrishnan. Parallel Incremental 2D-Discretization on Dynamic Datasets.. in International Parallel and Distributed Processing Symposium (IPDPS).. http://www.informatik.uni-trier.de/~ley/db/conf/ipps/ipdps2002.html#ParthasarathyR02,. (1. 2002).. M. Coatney, S. Mehta, S. Barr, A. Choy, S. Parthasarathy, R. Machiraju, and J. Wilkins. "Defect Detection in Silicon and Alloys.". in IEEE Workshop on Visualization in Bioinformatics and Cheminformatics.. (1. 2002).. A. Veloso, W. Meira, M. Carvalho, B. Possas, S. Parthasarathy and M. Zaki. Efficiently mining approximate models of associations in Evolving Databases.. in Joint European Conference on Machine Learning and Practical Applications of Knowledge Discovery and Data Mining (ECML/PKDD).. http://www.informatik.uni-trier.de/~ley/db/conf/pkdd/pkdd2002.html#VelosoGMCPZ02,. (1. 2002).. 2001. C. Aggarwal and S. Parthasarathy. Mining massively incomplete data sets by conceptual reconstruction... in Seventh ACM International Conference on Knowledge Discovery and Data Mining (SIGKDD'01).. http://www.informatik.uni-trier.de/~ley/db/conf/kdd/kdd2001.html#AggarwalP01,. (1. 2001).. Y.C. Fang, S. Parthasarathy, and F. Schwartz. "Using Clustering to Boost Text Classification.". in IEEE ICDM Workshop on Text Mining (TextDM'01).. (1. 2001).. H. Li and S. Parthasarathy. "Automatically Deriving Multi-level Protein Structures through Data Mining.". in High Performance Computing Workshop on Bioinformatics and Computational Biology.. (1. 2001).. Parthasarathy, S.. "Towards network-aware data mining.". (1. 2001).. S. Parthasarathy. Towards Network Aware Data Mining.. in Workshop on High Performance Data Mining (HPDM).. http://www.informatik.uni-trier.de/~ley/db/conf/ipps/ipdps2001.html#Parthasarathy01,. (1. 2001).. S. Parthasarathy and S. Dwarkadas. Shared State for Client-Server Mining.. in SIAM International Conference on Data Mining (SDM'01).. http://www.siam.org/meetings/sdm01/pdf/sdm01_18.pdf,. (1. 2001).. Aggarwal, C.C.; Parthasarathy, S.. "Mining massively incomplete data sets by conceptual reconstruction.". (12. 2001).. 2000. Parthasarathy, S.; Ogihara, M.. "Exploiting dataset similarity for distributed mining.". (12. 2000).. S. Parthasarathy and M. Ogihara. Clustering Distributed Homogeneous Datasets.. in Principles of Data Mining and Knowledge Discovery (PKDD).. http://www.informatik.uni-trier.de/~ley/db/conf/pkdd/pkdd2000.html#ParthasarathyO00,. (1. 2000).. S. Parthasarathy and M. Ogihara. Exploiting Dataset Similarity for Distributed Mining.. in Workshop on High Performance Data Mining (HPDM).. http://www.informatik.uni-trier.de/~ley/db/conf/ipps/ipdpsW2000.html#ParthasarathyO00,. (1. 2000).. Chen, D.Q.; Dwarkadas, S.; Parthasarathy, S.; Pinheiro, E. et al.. "InterWeave: A middleware system for distributed shared state.". in 5th International Workshop on Languages, Compilers, and Run-Time Systems for Scalable Computers.. (1. 2000).. Parthasarathy, S.; Ogihara, M.. "Exploiting dataset similarity for distributed mining.". in IEEE International Parallel and Distributed Processing Symposium (IPDP 2000).. (1. 2000).. D. Chen, S. Dwarkadas, E. Pinheiro, S. Parthasarathy and M. Scott. InterWeave: A Middleware System for Distributed Shared State.. in Languages, Compilers, and Run-Time Systems for Scalable Computers.. http://www.informatik.uni-trier.de/~ley/db/conf/lcr/lcr2000.html#ChenDPPS00,. (1. 2000).. Chen, D.Q.; Dwarkadas, S.; Parthasarathy, S.; Pinheiro, E. et al.. "InterWeave: A middleware system for distributed shared state.". (1. 2000).. Parthasarathy, S.; Ogihara, M.. "Exploiting dataset similarity for distributed mining.". (1. 2000).. Chen, D.; Dwarkadas, S.; Parthasarathy, S.; Pinheiro, E. et al.. "Interweave: A middleware system for distributed shared state?.". (1. 2000).. E. Pinheiro, D. Chen, S. Dwarkadas, S. Parthasarathy, and M. L. Scott. "S-DSM for Heterogeneous Machine Architectures.". in 2nd Workshop on Software Distributed Shared Memory.. (1. 2000).. 1999. S. Parthasarathy, M. Zaki, M. Ogihara and S. Dwarkadas. Incremental and Interactive Sequence Mining... in ACM International Conference on Information and Knowledge Management (CIKM).. http://www.informatik.uni-trier.de/~ley/db/conf/cikm/cikm99.html#ParthasarathyZOD99,. (1. 1999).. Parthasarathy, S.; Zaki, M.J.; Ogihara, M.; Dwarkadas, S.. "Incremental and interactive sequence mining.". in 8th International Conference on Information Knowledge Management (CIKM 99).. (1. 1999).. Parthasarathy, S.; Zaki, M.J.; Ogihara, M.; Dwarkadas, S.. "Incremental and interactive sequence mining.". (12. 1999).. Parthasarathy, S.; Zaki, M.J.; Ogihara, M.; Dwarkadas, S.. "Incremental and interactive sequence mining.". (1. 1999).. S. Parthasarathy and R. Subramonian. "Facilitating Data Mining on a Network of Workstations.". in IASTED International Conference on Parallel and Distributed Systems (PDCS).. (1. 1999).. 1998. S. Parthasarathy, R. Subramonian and R. Venkata. "Generalized Discretization for Summarization and Classification.". in 3rd International Conference on the Practical Applications of Knowledge Discovery and Data mining (PADD98).. (1. 1998).. Parthasarathy, S.; Dwarkadas, S.. "InterAct: Virtual sharing for interactive client-server applications.". (12. 1998).. S. Parthasarathy, M. Zaki and W. Li. Memory Placement Techniques for Parallel Association Mining.. in Fourth International Conference on Knowledge Discovery and Data Mining (KDD-98).. http://www.informatik.uni-trier.de/~ley/db/conf/kdd/kdd98.html#ParthasarathyZL98,. (1. 1998).. R. Subramonian and S. Parthasarathy. "A Framework for Distributed Data Mining.". in International Workshop on Distributed Data Mining.. (1. 1998).. S. Parthasarathy and S. Dwarkadas. InterAct: Virtual Sharing for Interactive Client-Server Applications.. in Languages, Compilers, and Run-Time Systems for Scalable Computers.. http://www.informatik.uni-trier.de/~ley/db/conf/lcr/lcr98.html#ParthasarathyD98,. (1. 1998).. 1997. Zaki, M.J.; Parthasarathy, S.; Li, W.; Ogihara, M.. "Evaluation of sampling for data mining of association rules.". in 7th International Workshop on Research Issues in Data Engineering - High Performance Database Management for Large-Scale Applications.. (1. 1997).. Zaki, M.J.; Parthasarathy, S.; Li, W.; Ogihara, M.. "Evaluation of sampling for data mining of association rules.". (1. 1997).. L. Kontothanassis, G. C. Hunt, R. Stets, N. Hardavellas, M. Cierniak, S. Parthasarathy, W. Meira Jr., S. Dwarkadas, and M. Scott. VM-Based Shared Memory on Low-Latency, Remote-Memory-Access Networks.. in International Symposium of Computer Architecture (ISCA).. http://www.informatik.uni-trier.de/~ley/db/conf/isca/isca97.html#KontothanassisHSHCPMDS97,. (1. 1997).. M. Zaki, S. Parthasarathy, W. Li, and M. Ogihara. Evaluation of Sampling for Data Mining of Association Rules,.. in Research Issues in Data Engineering (RIDE'97).. http://www.informatik.uni-trier.de/~ley/db/conf/ride/ride97.html#ZakiPLO97,. (1. 1997).. R. Stets, S. Dwarkadas, N. Hardavellas, G. Hunt, L. Kontothanassis, S. Parthasarathy, M. Scott. CASHMERE-2L: Software Coherent Shared Memory on a Clustered Remote-Write Network.. in Symposium of Operating Systems Principles (SOSP'97).. http://www.informatik.uni-trier.de/~ley/db/conf/sosp/sosp97.html#StetsDHHKPS97,. (1. 1997).. M. Zaki, S. Parthasarathy, M. Ogihara, and W. Li. New Algorithms for Fast Discovery of Association Rules.. in 3rd International Conference on Knowledge Discovery and Data Mining (KDD).. http://www.informatik.uni-trier.de/~ley/db/conf/kdd/kdd97.html#ZakiPOL97,. (1. 1997).. M. Zaki, S. Parthasarathy, and W. Li. A Localized Algorithm for Parallel Association Mining,.. in 9th Annual ACM Symposium on Parallel Algorithms and Architectures (SPAA).. http://www.informatik.uni-trier.de/~ley/db/conf/spaa/spaa97.html#ZakiPL97,. (1. 1997).. 1996. Zaki, M.J.; Li, W.; Parthasarathy, S.; IEEE,. "Customized dynamic load balancing for a network of workstations.". (1. 1996).. Parthasarathy, S.; Li, W.; Cierniak, M.; Zaki, M.J.. "Compile-time inter-query dependence analysis.". in 8th IEEE Symposium on Parallel and Distributed Processing.. (1. 1996).. Zaki, M.J.; Li, W.; Parthasarathy, S.. "Customized dynamic load balancing for a network of workstations.". in 5th IEEE International Symposium on High Performance Distributed Computing.. (1. 1996).. M. Zaki, W. Li, and S. Parthasarathy. Customized Dynamic Load Balancing for a Network of Workstations.. in 5th IEEE International Symposium on High-Performance Distributed Computing (HPDC).. http://www.informatik.uni-trier.de/~ley/db/conf/hpdc/hpdc1996.html#ZakiLP96,. (1. 1996).. M. Zaki, M. Ogihara, S. Parthasarathy, and W. Li. Parallel Data Mining for Association Rules on Shared-memory Multi-processors.. in Proceedings of ACM/IEEE Supercomputing (SC'96).. http://www2.computer.org/portal/web/csdl/doi/10.1109/SC.1996.29,. (1. 1996).. Parthasarathy, S.; Li, W.; Cierniak, M.; Zaki, M.J. et al.. "Compile-time inter-query dependence analysis.". (1. 1996).. M. L. Scott, W. Li, L. Kontothanassis, G. Hunt, M. Michael, R. Stets, N. Hardavellas, W. Meira Jr., A. Poulos, M. Cierniak, S. Parthasarathy, and M. Zaki. "Implementation of Cashmere.". in Workshop on Scalable Shared Memory Multiprocessors, Held in conjunction with ASPLOS '96... (1. 1996).. S. Parthasarathy, W. Li, M. Cierniak and M. Zaki. "Compile-Time Inter-Query Dependence Analysis,.". in IEEE Symposium on Parallel and Distributed Processing (SPDP).. (1. 1996).. Unknown. Parthasarathy, S, Sivakoff, S, Tian, M, Wang, Y. "A quest to unravel the metric structure behind perturbed networks.". in Symposium on Computational Geometry (SoCG).. "A quest to unravel the metric structure behind perturbed networks.". in SYMPOSIUM ON COMPUTATIONAL GEOMETRY (SoCG).. Department ofComputer Science and Engineering395 Dreese Laboratories2015 Neil AvenueColumbus, OH 43210-1277(614) 292-5813 Phone(614) 292-2911 Fax. Support CSE. Invest in a Buckeye. Your gift will make a difference.. Connect. facebookyoutube. 2019 The Ohio State UniversityAccessibilityPrivacy PolicyHelpLogin. diff --git a/src/data/compiled_bios/4066.txt b/src/data/compiled_bios/4066.txt new file mode 100644 index 0000000000..16e1fa72dd --- /dev/null +++ b/src/data/compiled_bios/4066.txt @@ -0,0 +1 @@ +Feng Qin. Associate Professor, Computer Science & Engineering. 795 Dreese Laboratories. 2015 Neil Ave.. Columbus,. OH. 43210. 614-247-4533. qin.34@osu.edu. http://web.cse.ohio-state.edu/~qin. Honors. April, 2018. CSE Teaching Award.. April, 2015. Lumley Research Award.. March, 2010-February, 2015. NSF CAREER Award.. January, 2007-February, 2007. IEEE Micro's Top Picks.. October, 2005. Best Papers Award of 2005 ACM Symposium on Operating Systems Principles.. January, 2005. Outstanding teaching assistant award.. November, 2004-December, 2004. IEEE Micro's Top Picks.. July, 1998. Excellent Bachelor Thesis Award.. September, 1997-July, 1998. Japanese Telecom Scholarship.. September, 1996-July, 1997. Zhang Zhongzhi Scholarship.. September, 1994-July, 1995. First-class Scholarship.. March, 1993. First-class Prize in National High School Mathematics Competition in China.. Journal Articles2015. Laguna, I.; Ahn, D.H.; de Supinski, B.R.; Gamblin, T. et al.,. 2015,. "Debugging High-Performance Computing Applications at Massive Scales.". COMMUNICATIONS OF THE ACM. 58,. no. 9,. 72-81 -. 72-81.. 2014. Zheng, M.; Ravi, V.; Qin, F.; Agrawal, G.,. 2014,. "GMRace: Detecting Data Races in GPU Programs via a Low-Overhead Scheme.". IEEE Transactions on Parallel and Distributed Systems (IEEE-TPDS). 25,. no. 1,. 104-115 -. 104-115.. 2013. Chen, Z.; Gao, Q.; Zhang, W.; Qin, F.,. 2013,. "Improving the Reliability of MPI Libraries via Message Flow Checking.". IEEE Transactions on Parallel and Distributed Systems (IEEE-TPDS). 24,. no. 3,. 535-549 -. 535-549.. 2011. Zheng, M.; Ravi, V.; Qin, F.; Agrawal, G.,. 2011,. "GRace: A Low-Overhead Mechanism for Detecting Data Races in GPU Programs.". ACM SIGPLAN NOTICES. 46,. no. 8,. 135-145 -. 135-145.. 2007. Qin, F.; Tucek, J.; Zhou, Y.; Sundaresan, J.,. 2007,. "Rx: Treating Bugs as Allergies A Safe Method to Survive Software Failures.". ACM Transactions on Computer Systems (ACM-TOCS). 25,. no. 3,. 1-7 -. 1-7.. Lu, S.; Tucek, J.; Qin, F.; Zhou, Y.,. 2007,. "AVIO: Detecting Atomicity Violations via Access-Interleaving Invariants.". IEEE Micro Special Issue: Micro's Top Picks from Computer Architecture Conferences. 27,. no. 1,. 26-35 -. 26-35.. 2005. Zhou, Y.; Zhou, P.; Qin, F.; Liu, W. et al.,. 2005,. "Efficient and Flexible Architectural Support for Dynamic Monitoring.". Transactions on Architecture and Code Optimization (ACM-TACO). 2,. no. 1,. 3-33 -. 3-33.. 2004. Zhou, P.; Qin, F.; Liu, W.; Zhou, Y. et al.,. 2004,. "iWatcher: Simple and General Architectural Support for Software Debugging.". IEEE Micro Special Issue: Micros Top Picks from Computer Architecture Conferences. 24,. no. 6,. 50-56 -. 50-56.. Presentations. "Understanding the Robustness of SSDs under Power Fault.". 2013,. Presented at Nanjing University,. "System Support for Tolerating Software Bugs during Production Runs.". 2008,. Presented at Intel Research Labs,. "System Support for Tolerating Software Bugs during Production Runs.". 2008,. Presented at Computer Science Department, University of Science and Technology of China,. "Is Your Storage System Reliable?.". 2015,. Presented at Chinese Academy of Sciences,. "Is Your Storage System Reliable?.". 2015,. Presented at New York University - Shanghai,. "Improving Software Reliability on both General-Purposed and High-Performance Computing Systems.". 2010,. Presented at Computer Science Department, University of Science and Technology of China,. "Is Your Storage System Reliable?.". 2015,. Presented at Shenzhen Institutes of Advanced Technology,. "Hunting Bugs in General-Purpose and High-Performance Systems.". 2012,. Presented at Computer Science Department, Purdue University,. "Hunting Bugs in General-Purpose and High-Performance Systems.". 2012,. Presented at Institute of Software, Chinese Academy of Sciences,. "Hunting Bugs in General-Purpose and High-Performance Systems.". 2012,. Presented at Computer Science Department, University of Illinois at Urbana-Champaign,. "Checking Crash Consistency on Storage Systems.". 2017,. Presented at Chinese Academy of Science,. Papers in Proceedings2017. Li, L.; Bai, Y.; Wang, X.; Zheng, M. et al.. "Selective Checkpointing for Minimizing Recovery Efforts of Smartphone Apps.". (1. 2017).. Li, L.; Bai, Y.; Wang, X.; Zheng, M. et al.. "Selective Checkpointing for Minimizing Recovery Efforts of Smartphone Apps.". in 14th IEEE International Conference on Autonomic Computing (ICAC).. (1. 2017).. Wang, J.; Dou, W.; Gao, Y.; Gao, C. et al.. "A Comprehensive Study on Real World Concurrency Bugs in Node.js.". in 32nd IEEE/ACM International Conference on Automated Software Engineering (ASE).. (10. 2017).. Li, L.; Bai, Y.; Wang, X.; Zheng, M. et al.. "Selective Checkpointing for Minimizing Recovery Energy and Efforts of Smartphone Apps.". in the 8th International Green and Sustainable Computing Conference.. (10. 2017).. Li, L.; Beitman, B.; Zheng, M.; Wang, X. et al.. "eDelta: Pinpointing Energy Deviations in Smartphone Apps via Comparative Trace Analysis.". in the 8th International Green and Sustainable Computing Conference.. (10. 2017).. Wang, J.; Dou, W.; Gao, Y.; Gao, C. et al.. "A Comprehensive Study on Real World Concurrency Bugs in Node.js.". (1. 2017).. Wang, J.; Dou, W.; Gao, Y.; Gao, C. et al.. "A Comprehensive Study on Real World Concurrency Bugs in Node.js.". in 32nd IEEE/ACM International Conference on Automated Software Engineering (ASE).. (1. 2017).. 2016. Jiang, Y.; Chen, H.; Qin, F.; Xu, C. et al.. "Crash Consistency Validation Made Easy.". in 24th ACM SIGSOFT International Symposium on Foundations of Software Engineering (FSE).. (1. 2016).. Jiang, Y.; Chen, H.; Qin, F.; Xu, C. et al.. "Crash Consistency Validation Made Easy.". (1. 2016).. Yanyan Jiang*, Haicheng Chen*, Feng Qin, Chang Xu, Xiaoxing Ma, and Jian Lu. "Efficient Checkpointing of Java Software Using Context Sensitive Capture and Replay.". in The 24th International Symposium on the Foundations of Software Engineering.. (11. 2016).. Jiang, Y.; Chen, H.; Qin, F.; Xu, C. et al.. "Crash Consistency Validation Made Easy.". in The 24th International Symposium on the Foundations of Software Engineering.. (11. 2016).. Zhai, J.; Huang, J.; Ma, S.; Zhang, X. et al.. "Automatic Model Generation from Documentation for Java API Functions.". in The 38th International Conference on Software Engineering (ICSE).. (5. 2016).. 2015. Huang, D.; Song, Y.; Routray, R.; Qin, F. et al.. "SmartCache: An Optimized MapReduce Implementation of Frequent Itemset Mining.". (1. 2015).. Huang, D.; Song, Y.; Routray, R.; Qin, F.. "SmartCache: An Optimized MapReduce Implementation of Frequent Itemset Mining.". in The IEEE International Conference on Cloud Computing (IC2E).. (3. 2015).. Huang, D.; Song, Y.; Routray, R.; Qin, F.. "SmartCache: An Optimized MapReduce Implementation of Frequent Itemset Mining.". in 2015 IEEE International Conference on Cloud Engineering.. (1. 2015).. Dachuan Huang*, Yang Song, Ramani Routray, Feng Qin. "SmartCache: An Optimized MapReduce Implementation of Frequent Itemset Mining.". in The IEEE International Conference on Cloud Computing (IC2E).. (3. 2015).. 2014. Mai Zheng*, Joseph Tucek, Dachuan Huang*, Feng Qin, Mark Lillibridge, Elizabeth S. Yang, Bill W. Zhao, and Singh Shashank*. "Torturing Databases for Fun and Profit.". in The 11th USENIX Symposium on Operating Systems Design and Implementation (OSDI).. (10. 2014).. Chen, Z.; Dinan, J.; Tang, Z.; Balaji, P. et al.. "MC-Checker: Detecting Memory Consistency Errors in MPI One-Sided Applications.". (1. 2014).. Zheng, M.; Tucek, J.; Huang, D.; Qin, F. et al.. "Torturing Databases for Fun and Profit.". in The 11th USENIX Symposium on Operating Systems Design and Implementation (OSDI).. (10. 2014).. Chen, Z.; Dinan, J.; Tang, Z.; Balaji, P. et al.. "MC-Checker: Detecting Memory Consistency Errors in MPI One-Sided Applications.". in The ACM/IEEE Conference on Supercomputing (SC'14).. (11. 2014).. Chen, Z.; Dinan, J.; Tang, Z.; Balaji, P. et al.. "MC-Checker: Detecting Memory Consistency Errors in MPI One-Sided Applications.". in International Conference on High Performance Computing, Networking, Storage and Analysis.. (1. 2014).. Zhezhe Chen*, James Dinan, Zhen Tang, Pavan Balaji, Hua Zhong, Jun Wei, Tao Huang, and Feng Qin. "MC-Checker: Detecting Memory Consistency Errors in MPI One-Sided Applications.". in The ACM/IEEE Conference on Supercomputing (SC'14).. (11. 2014).. 2013. Gu, B.; Zhang, W.; Bai, X.; Champion, A.C. et al.. "JSGuard: Shellcode detection in JavaScript.". (3. 2013).. Gu, B.; Li, X.; Li, G.; Champion, A.C. et al.. "D2Taint: Differentiated and dynamic information flow tracking on smartphones for numerous data sources.". (9. 2013).. Gu, B.; Li, X.; Li, G.; Champion, A.C. et al.. "D2Taint: Differentiated and Dynamic Information Flow Tracking on Smartphones for Numerous Data Sources.". in 32nd IEEE INFOCOM Conference.. (1. 2013).. Gu, B.; Li, X.; Li, G.; Champion, A.C. et al.. "D2Taint: Differentiated and Dynamic Information Flow Tracking on Smartphones for Numerous Data Sources.". (1. 2013).. Huang, D.; Zhang, X.; Shi, W.; Zheng, M. et al.. "LiU: Hiding Disk Access Latency for HPC Applications with a New SSD-Enabled Data Layout.". in IEEE 21st Annual International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication (MASCOTS).. (1. 2013).. Boxuan Gu, Xinfeng Li, Gang Li, Adam Champion, Zhezhe Chen*, Feng Qin, and Dong Xuan. "D2Taint: Differentiated and Dynamic Information Flow Tracking on Smartphones for Numerous Data Sources.". in The 32nd IEEE International Conference on Computer Communication (INFOCOM'13).. (4. 2013).. Huang, D.; Zhang, X.; Shi, W.; Zheng, M. et al.. "LiU: Hiding Disk Access Latency for HPC Applications with a New SSD-Enabled Data Layout.". in The IEEE 21st International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems.. (8. 2013).. Huang, D.; Zhang, X.; Shi, W.; Zheng, M. et al.. "LiU: Hiding Disk Access Latency for HPC Applications with a New SSD-Enabled Data Layout.". (1. 2013).. Dachuan Huang*, Xuechen Zhang, Wei Shi, Mai Zheng*, Song Jiang, and Feng Qin. "LiU: Hiding Disk Access Latency for HPC Applications with a New SSD-Enabled Data Layout.". in The IEEE 21st International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems.. (8. 2013).. Mai Zheng*, Joseph Tucek, Feng Qin, and Mark Lillibridge. "Understanding the Robustness of SSDs under Power Fault.". in The 11th USENIX Conference on File and Storage Technologies (FAST'13).. (2. 2013).. Gu, B.; Li, X.; Li, G.; Champion, A. et al.. "D2Taint: Differentiated and Dynamic Information Flow Tracking on Smartphones for Numerous Data Sources.". in The 32nd IEEE International Conference on Computer Communication (INFOCOM'13).. (4. 2013).. Zheng, M.; Tucek, J.; Qin, F.; Lillibridge, M.. "Understanding the Robustness of SSDs under Power Fault.". in The 11th USENIX Conference on File and Storage Technologies (FAST'13).. (2. 2013).. 2012. Zheng, M.; Ravi, V.; Ma, W.; Qin, F. et al.. "GMProf: A Low-Overhead, Fine-Grained Profiling Approach for GPU Programs.". in The 2012 Annual IEEE International Conference on High Performance Computing (HiPC).. (12. 2012).. Chen, Z.; Li, X.; Chen, J-Y.; Zhong, H. et al.. "SyncChecker: Detecting Synchronization Errors between MPI Applications and Libraries.". (1. 2012).. Chen, Z.; Li, X.; Chen, J-Y.; Zhong, H. et al.. "SyncChecker: Detecting Synchronization Errors between MPI Applications and Libraries.". in 26th IEEE International Parallel and Distributed Processing Symposium (IPDPS) / Workshop on High Performance Data Intensive Computing.. (1. 2012).. Chen, Z.; Li, X.; Chen, J.; Zhong, H. et al.. "SyncChecker: Detecting Synchronization Errors Between MPI Applications and Libraries.". in The 26th IEEE International Parallel & Distributed Processing Symposium (IPDPS'12).. (5. 2012).. Qi, D.; Sumner, W.; Qin, F.; Zheng, M. et al.. "Modeling Software Execution Environment.". in The 19th Working Conference on Reverse Engineering (WCRE'12).. (10. 2012).. Gu, B.; Zhang, W.; Bai, X.; Champion, A. et al.. "JSGuard: Shellcode Detection in JavaScript.". in The 8th International Conference on Security and Privacy in Communication Networks (SecureComm'12).. (9. 2012).. Qi, D.; Sumner, W.N.; Qin, F.; Zheng, M. et al.. "Modeling software execution environment.". (12. 2012).. Zhezhe Chen*, Xinyu Li*, Jau-Yuan Chen*, Hua Zhong, and Feng Qin. "SyncChecker: Detecting Synchronization Errors Between MPI Applications and Libraries.". in The 26th IEEE International Parallel & Distributed Processing Symposium (IPDPS'12).. (5. 2012).. Zheng, M.; Ravi, V.T.; Ma, W.; Qin, F. et al.. "GMProf: A Low-Overhead, Fine-Grained Profiling Approach for GPU Programs.". in 19th International Conference on High Performance Computing (HiPC).. (1. 2012).. Zheng, M.; Ravi, V.T.; Ma, W.; Qin, F. et al.. "GMProf: A Low-Overhead, Fine-Grained Profiling Approach for GPU Programs.". (1. 2012).. Dawei Qi, William Sumner, Feng Qin, Mai Zheng*, Xiangyu Zhang and Abhik Roychoudhury. "Modeling Software Execution Environment.". in The 19th Working Conference on Reverse Engineering (WCRE'12).. (10. 2012).. Mai Zheng*, Vignesh T. Ravi, Wenjing Ma, Feng Qin, and Gagan Agrawal. "GMProf: A Low-Overhead, Fine-Grained Profiling Approach for GPU Programs.". in The 2012 Annual IEEE International Conference on High Performance Computing (HiPC).. (12. 2012).. Zheng, M.; Ravi, V.T.; Ma, W.; Qin, F. et al.. "GMProf: A low-overhead, fine-grained profiling approach for GPU programs.". (12. 2012).. Boxuan Gu, Wenbin Zhang*, Xiaole Bai, Adam Champion, Feng Qin, and Dong Xuan. "JSGuard: Shellcode Detection in JavaScript.". in The 8th International Conference on Security and Privacy in Communication Networks (SecureComm'12).. (9. 2012).. 2011. Zheng, M.; Ravi, V.T.; Qin, F.; Agrawal, G.. "GRace: A Low-Overhead Mechanism for Detecting Data Races in GPU Programs.". (8. 2011).. Mai Zheng*, Vignesh T. Ravi, Feng Qin, and Gagan Agrawal. "GRace: A Low-Overhead Mechanism for Detecting Data Races in GPU Programs.". in The ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming (PPoPP'11).. (2. 2011).. Zheng, M.; Ravi, V.T.; Qin, F.; Agrawal, G.. "GRace: A Low-Overhead Mechanism for Detecting Data Races in GPU Programs.". (8. 2011).. Gao, Q.; Zhang, W.; Chen, Z.; Zheng, M. et al.. "2ndStrike: Toward Manifesting Hidden Concurrency Typestate Bugs.". (3. 2011).. Guoqing Xu, Michael D. Bond, Feng Qin, and Atanas Rountev. "LeakChaser: Helping Programmers Narrow Down Causes of Memory Leaks.". in The ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI'11).. (6. 2011).. Gao, Q.; Zhang, W.; Chen, Z.; Zheng, M. et al.. "2ndStrike: Toward Manifesting Hidden Concurrency Typestate Bugs.". (3. 2011).. Zheng, M.; Ravi, V.; Qin, F.; Agrawal, G.. "GRace: A Low-Overhead Mechanism for Detecting Data Races in GPU Programs.". in The ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming (PPoPP'11).. (2. 2011).. Gao, Q.; Zhang, W.; Chen, Z.; Zheng, M. et al.. "2ndStrike: Towards Manifesting Hidden Concurrency Typestate Bugs.". in The 16th International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS'11).. (3. 2011).. Qi Gao*, Wenbin Zhang*, Zhezhe Chen*, Mai Zheng*, and Feng Qin. "2ndStrike: Towards Manifesting Hidden Concurrency Typestate Bugs.". in The 16th International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS'11).. (3. 2011).. Xu, G.; Bond, M.; Qin, F.; Rountev, A.. "LeakChaser: Helping Programmers Narrow Down Causes of Memory Leaks.". in The ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI'11).. (6. 2011).. Zheng, M.; Ravi, V.T.; Qin, F.; Agrawal, G.. "GRace: A low-overhead mechanism for detecting data races in gpu programs.". (8. 2011).. 2010. Chen, Z.; Gao, Q.; Zhang, W.; Qin, F.. "FlowChecker: Detecting Bugs in MPI Libraries via Message Flow Checking.". in The ACM/IEEE Conference on Supercomputing (SC'10).. (11. 2010).. Zhezhe Chen*, Qi Gao*, Wenbin Zhang*, and Feng Qin. "FlowChecker: Detecting Bugs in MPI Libraries via Message Flow Checking.". in The ACM/IEEE Conference on Supercomputing (SC'10).. (11. 2010).. 2009. Qi Gao*, Wenbin Zhang*, Yan Tang*, and Feng Qin. "First-Aid: Surviving and Preventing Memory Management Bugs during Production Runs.". in The 4th ACM SIGOPS/EuroSys European Conference on Computer Systems (EuroSys09).. (3. 2009).. Gao, Q.; Zhang, W.; Tang, Y.; Qin, F.. "First-Aid: Surviving and Preventing Memory Management Bugs during Production Runs.". in The 4th ACM SIGOPS/EuroSys European Conference on Computer Systems (EuroSys09).. (3. 2009).. Gao, Q.; Zhang, W.; Tang, Y.; Qin, F.. "First-Aid: Surviving and Preventing Memory Management Bugs during Production Runs.". in 4th ACM European Conference on Computer Systems (EuroSys 09).. (1. 2009).. Gao, Q.; Zhang, W.; Tang, Y.; Qin, F. et al.. "First-Aid: Surviving and Preventing Memory Management Bugs during Production Runs.". (1. 2009).. 2008. Yan Tang*, Qi Gao*, and Feng Qin. "LeakSurvivor: Towards Safely Tolerating Memory Leaks for Garbage-Collected Languages.". in The 2008 USENIX Annual Technical Conference (USENIX08).. (6. 2008).. Tang, Y.; Gao, Q.; Qin, F.. "LeakSurvivor: Towards Safely Tolerating Memory Leaks for Garbage-Collected Languages.". in The 2008 USENIX Annual Technical Conference (USENIX08).. (6. 2008).. 2007. Lu, S.; Tucek, J.; Qin, F.; Zhou, Y.. "AVIO: Detecting atomicity violations via access-interleaving invariants.". (1. 2007).. Lu, S.; Tucek, J.; Qin, F.; Zhou, Y.. "AVIO: Detecting atomicity violations via access-interleaving invariants.". (1. 2007).. Qi Gao*, Feng Qin, and D.K. Panda. "DMTracker: Finding Bugs in Large-Scale Parallel Programs by Detecting Anomaly in Data Movements.". in The 2007 ACM/IEEE Conference on Supercomputing (SC07).. (11. 2007).. Xu, G.; Rountev, A.; Tang, Y.; Qin, F.. "Efficient Checkpointing of Java Software Using Context Sensitive Capture and Replay.". in The 6th Joint Meeting of the European Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundation of Software Engineering (FSE07).. (9. 2007).. Guoqing Xu, Atanas Rountev, Yan Tang*, and Feng Qin. "Efficient Checkpointing of Java Software Using Context Sensitive Capture and Replay.". in The 6th Joint Meeting of the European Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundation of Software Engineering (FSE07).. (9. 2007).. Gao, Q.; Qin, F.; Panda, D.. "DMTracker: Finding Bugs in Large-Scale Parallel Programs by Detecting Anomaly in Data Movements.". in The 2007 ACM/IEEE Conference on Supercomputing (SC07).. (11. 2007).. 2006. Qin, F.; Wang, C.; Li, Z.; Kim, H-S. et al.. "LIFT: A low-overhead practical information flow tracking system for detecting security attacks.". in 39th Annual IEEE/ACM International Symposium on Microarchitecture.. (1. 2006).. Lu, S.; Tucek, J.; Qin, F.; Zhou, Y.. "AVIO: Detecting Atomicity Violations via Access-Interleaving Invariants.". in The 12th International Conference on Architecture Support for Programming Languages and Operating Systems (ASPLOS06).. (10. 2006).. Qin, F.; Wang, C.; Li, Z.; Kim, H-S. et al.. "LIFT: A low-overhead practical information flow tracking system for detecting security attacks.". (1. 2006).. Qin, F.; Wang, C.; Li, Z.; Kim, H. et al.. "LIFT: A Low-Overhead Practical Information Flow Tracking System for Detecting Security Attacks.". in The 39th Annual IEEE/ACM International Symposium on Micro-architecture (MICRO06).. (12. 2006).. Shan Lu, Joseph Tucek, Feng Qin, and Yuanyuan Zhou. "AVIO: Detecting Atomicity Violations via Access-Interleaving Invariants.". in The 12th International Conference on Architecture Support for Programming Languages and Operating Systems (ASPLOS06).. (10. 2006).. Feng Qin, Cheng Wang, Zhenmin Li, Ho-seop Kim, Yuanyuan Zhou, and Youfeng Wu. "LIFT: A Low-Overhead Practical Information Flow Tracking System for Detecting Security Attacks.". in The 39th Annual IEEE/ACM International Symposium on Micro-architecture (MICRO06).. (12. 2006).. 2005. Qin, F.; Lu, S.; Zhou, Y.Y.; IEEE,. "SafeMem: Exploiting ECC-memory for detecting memory leaks and memory corruption during production runs.". (1. 2005).. Qin, F.; Lu, S.; Zhou, Y.Y.. "SafeMem: Exploiting ECC-memory for detecting memory leaks and memory corruption during production runs.". in 11th International Symposium on High-Performance Computer Architecture.. (1. 2005).. Feng Qin, Joseph Tucek, Jagadeesan Sundaresan and Yuanyuan Zhou. "Rx: Treating Bugs as Allergies A Safe Method to Survive Software Failures.". in The 20th ACM Symposium on Operating Systems Principles (SOSP05).. (10. 2005).. Feng Qin, Shan Lu and Yuanyuan Zhou. "SafeMem: Exploiting ECC-Memory for Detecting Memory Leaks and Memory Corruption During Production Runs.". in The 10th International Symposium on High-Performance Computer Architecture (HPCA05).. (2. 2005).. Feng Qin, Joseph Tucek and Yuanyuan Zhou. "Treating Bugs as Allergies: A Safe Method for Surviving Software Failures.". in The USENIX 10th Workshop on Hot Topics in Operating Systems (HotOS'05).. (6. 2005).. Qin, F.; Tucek, J.; Sundaresan, J.; Zhou, Y.. "Rx: Treating Bugs as Allergies A Safe Method to Survive Software Failures.". in The 20th ACM Symposium on Operating Systems Principles (SOSP05).. (10. 2005).. Qin, F.; Tucek, J.; Zhou, Y.. "Treating Bugs as Allergies: A Safe Method for Surviving Software Failures.". in The USENIX 10th Workshop on Hot Topics in Operating Systems (HotOS'05).. (6. 2005).. Lu, S.; Li, Z.; Qin, F.; Tan, L. et al.. BugBench: A Benchmark for Evaluating Bug Detection Tools.. in Workshop on the Evaluation of Software Defect Detection Tools (Bugs'05).. http://www.cs.umd.edu/~pugh/BugWorkshop05/,. (6. 2005).. Qin, F.; Lu, S.; Zhou, Y.. "SafeMem: Exploiting ECC-Memory for Detecting Memory Leaks and Memory Corruption During Production Runs.". in The 10th International Symposium on High-Performance Computer Architecture (HPCA05).. (2. 2005).. Shan Lu, Zhenmin Li, Feng Qin, Lin Tan, Pin Zhou and Yuanyuan Zhou. BugBench: A Benchmark for Evaluating Bug Detection Tools.. in Workshop on the Evaluation of Software Defect Detection Tools (Bugs'05).. http://www.cs.umd.edu/~pugh/BugWorkshop05/,. (6. 2005).. 2004. Pin Zhou, Feng Qin, Wei Liu, Yuanyuan Zhou and Josep Torrellas. "iWatcher: Efficient Architecture Support for Software Debugging.". in The 31st annual International Symposium on Computer Architecture (ISCA04).. (6. 2004).. Zhou, P.; Qin, F.; Liu, W.; Zhou, Y.Y. et al.. "iWatcher: Efficient architectural support for software debugging.". in 31st Annual International Symposium on Computer Architecture.. (1. 2004).. Basney, J.; Chetan, S.; Qin, F.; Song, S. et al.. "An OSGI CredentialManager Service.". in The Workshop on Grid Security Practice and Experience.. (7. 2004).. Pin Zhou, Wei Liu, Fei Long, Shan Lu, Feng Qin, Yuanyuan Zhou, Sam Midkiff and Josep Torrellas. "AccMon: Automatically Detecting Memory-Related Bugs via Program Counter-based Invariants.". in The 37th Annual IEEE/ACM International Symposium On Micro-architecture (Micro04).. (12. 2004).. Zhou, P.; Qin, F.; Liu, W.; Zhou, Y. et al.. "iWatcher: Efficient Architecture Support for Software Debugging.". in The 31st annual International Symposium on Computer Architecture (ISCA04).. (6. 2004).. Zhou, P.; Liu, W.; Fei, L.; Lu, S. et al.. "AccMon: Automatically detecting memory-related bugs via program counter-based invariants.". (1. 2004).. Zhou, P.; Liu, W.; Long, F.; Lu, S. et al.. "AccMon: Automatically Detecting Memory-Related Bugs via Program Counter-based Invariants.". in The 37th Annual IEEE/ACM International Symposium On Micro-architecture (Micro04).. (12. 2004).. Zhou, P.; Liu, W.; Fei, L.; Lu, S. et al.. "AccMon: Automatically detecting memory-related bugs via program counter-based invariants.". in 37th Annual International Symposium on Microarchitecture.. (1. 2004).. Zhou, P.; Qin, F.; Liu, W.; Zhou, Y.Y. et al.. "iWatcher: Efficient architectural support for software debugging.". (1. 2004).. Jim Basney, Shiva Shankar Chetan, Feng Qin, Sumin Song, Xiao Tu, and Marty Humphrey. "An OSGI CredentialManager Service.". in The Workshop on Grid Security Practice and Experience.. (7. 2004).. 2000. Zhang, B.; Li, J.; Qin, F.. "Web Application Development: An Object-Oriented Approach.". in Intl. Conf. on Software: Theory and Practice, the 16th IFIP World Computer Congress.. (8. 2000).. Bo Zhang, Jing Li, and Feng Qin. "Web Application Development: An Object-Oriented Approach.". in Intl. Conf. on Software: Theory and Practice, the 16th IFIP World Computer Congress.. (8. 2000).. Department ofComputer Science and Engineering395 Dreese Laboratories2015 Neil AvenueColumbus, OH 43210-1277(614) 292-5813 Phone(614) 292-2911 Fax. Support CSE. Invest in a Buckeye. Your gift will make a difference.. Connect. facebookyoutube. 2019 The Ohio State UniversityAccessibilityPrivacy PolicyHelpLogin. diff --git a/src/data/compiled_bios/4067.txt b/src/data/compiled_bios/4067.txt new file mode 100644 index 0000000000..f542485008 --- /dev/null +++ b/src/data/compiled_bios/4067.txt @@ -0,0 +1 @@ +Alan Ritter. Assistant Professor, Computer Science & Engineering. 595 Dreese Laboratories. 2015 Neil Ave. Columbus,. OH. 43210. 614-292-5275. ritter.1492@osu.edu. http://aritter.github.io/. Honors. March, 2018. Outstanding Student Organization Advisor Award.. September, 2008-September, 2011. NDSEG Fellowship.. February, 2009. Best Student Paper Award.. Journal Articles2017. *Ji, X.; Ritter, A.; Yen, P-Y.,. 2017,. "Using ontology-based semantic similarity to facilitate the article screening process for systematic reviews.". Journal of Biomedical Informatics. 69,. 33-42 -. 33-42.. 2016. Nakov, P.; Rosenthal, S.; Kiritchenko, S.; Mohammad, S.M. et al.,. 2016,. "Developing a successful SemEval task in sentiment analysis of Twitter and other social media texts.". Language Resources and Evaluation. 50,. 35-65 -. 35-65.. 2014. Xu, W.; Ritter, A.; Callison-Burch, C.; Dolan, W.B. et al.,. 2014,. "Extracting lexically divergent paraphrases from Twitter.". Transactions of the Association for Computational Linguistics. 2,. 435-448 -. 435-448.. 2013. Ritter, A.; Zettlemoyer, L.; Mausam, ; Etzioni, O.,. 2013,. "Modeling missing data in distant supervision for information extraction.". Transactions of the Association for Computational Linguistics. 1,. 367-378 -. 367-378.. Presentations. "Weakly Supervised Information Extraction for the Social Web.". 2015,. Presented at CLIP Seminar, University of Maryland,. "Weakly Supervised Information Extraction for the Social Web.". 2015,. Presented at School of Computer Science, Carnegie Mellon University,. "Weakly Supervised Information Extraction for the Social Web.". 2016,. Presented at Statistics Department Seminar, Ohio State University,. "Weakly Supervised Information Extraction for the Social Web.". 2015,. Presented at Machine Learning Seminar, Purdue University,. "Large Scale Learning for Information Extraction.". 2016,. Presented at University of North Carolina,. "Large-Scale Learning for Information Extraction.". 2016,. Presented at University of Edinburgh,. "Large-Scale Learning for Information Extraction.". 2016,. Presented at Tsinghua University,. "Large Scale Learning for Information Extraction.". 2016,. Presented at University of Colorado, Boulder,. Large-Scale Learning for Information Extraction.. 2017,. Presented at Midwest Machine Learning Symposium,. Data-Driven Conversation.. 2017,. Presented at Microsoft Research Faculty Summit,. What's so hard about Natural Language Understanding?.. 2017,. Presented at NIPS workshop on Learning with Limited Labeled Data,. Papers in Proceedings2018. Kulkarni, C.; Xu, W.; Ritter, A.; Machiraju, R.. "An Annotated Corpus for Machine Reading of Instructions in Wet Lab Protocols..". (1. 2018).. Ritter, A.L.. "An Annotated Corpus for Machine Reading of Instructions in Wet Lab Protocols.". in NAACL.. (6. 2018).. 2017. Konovalov, A.; Ritter, A.; Strauss, B.; O Connor, B.. "Learning to extract events from knowledge base revisions.". (1. 2017).. Swamy, S.; Ritter, A.; Marneffe, M-C.D.. ""i have a feeling trump will win..................": Forecasting Winners and Losers from User Predictions on Twitter..". (1. 2017).. *Swamy, S.; Ritter, A.; de Marneffe, M-C.. "" i have a feeling trump will win..................": Forecasting Winners and Losers from User Predictions on Twitter.". in EMNLP.. (1. 2017).. *Konovalov, A.; *Strauss, B.; Ritter, A.; O Connor, B.. "Learning to Extract Events from Knowledge Base Revisions.". in WWW.. (1. 2017).. *Li, J.; *Monroe, W.; *Shi, T.; Ritter, A. et al.. "Adversarial learning for neural dialogue generation.". in EMNLP.. (1. 2017).. Li, J.; Monroe, W.; Shi, T.; Jean, S. et al.. "Adversarial Learning for Neural Dialogue Generation..". (1. 2017).. Konovalov, A.; Strauss, B.; Ritter, A.; O'Connor, B.. "Learning to Extract Events from Knowledge Base Revisions..". (1. 2017).. 2016. Li, J.; Monroe, W.; Ritter, A.; Galley, M. et al.. "Deep Reinforcement Learning for Dialogue Generation..". (1. 2016).. Li, J.; Monroe, W.; Ritter, A.; Galley, M. et al.. "Deep reinforcement learning for dialogue generation.". (1. 2016).. *Li, J.; *Monroe, W.; Ritter, A.; Jurafsky, D. et al.. "Deep Reinforcement Learning for Dialogue Generation.". in EMNLP.. (5. 2016).. Han, B.; Ritter, A.; Derczynski, L.; Xu, W. et al.. "Proceedings of the 2nd Workshop on Noisy User-generated Text (WNUT).". (1. 2016).. 2015. Ji, X.; Machiraju, R.; Ritter, A.; Yen, P.Y.. "Examining the Distribution, Modularity, and Community Structure in Article Networks for Systematic Reviews.". (1. 2015).. Ji, X.; Machiraju, R.; Ritter, A.; Yen, P-Y.. "Examining the Distribution, Modularity, and Community Structure in Article Networks for Systematic Reviews..". (1. 2015).. Xu, W.; Han, B.; Ritter, A.. "Proceedings of the Workshop on Noisy User-generated Text.". (1. 2015).. Ritter, A.; Wright, E.; Casey, W.; Mitchell, T.. "Weakly supervised extraction of computer security events from twitter.". in WWW.. (1. 2015).. Ji, X.; Machiraju, R.; Ritter, A.; Yen, P-Y.. "Examining the Distribution, Modularity, and Community Structure in Article Networks for Systematic Reviews..". (1. 2015).. *Ji, X.; Machiraju, R.; Ritter, A.; Yen, P-Y.. "Examining the Distribution, Modularity, and Community Structure in Article Networks for Systematic Reviews.". in AMIA.. (1. 2015).. Mitchell, T.; Cohen, W.; Hruschka, E.; Pratim Talukdar, P. et al.. "Never Ending Learning.". in AAAI.. (1. 2015).. Ji, X.; Machiraju, R.; Ritter, A.; Yen, P-Y.. "Examining the Distribution, Modularity, and Community Structure in Article Networks for Systematic Reviews..". (1. 2015).. Ritter, A.; Wright, E.; Casey, W.; Mitchell, T.M.. "Weakly Supervised Extraction of Computer Security Events from Twitter..". (1. 2015).. Chen, X.; Ritter, A.; Gupta, A.; Mitchell, T.M.. "Sense discovery via co-clustering on images and text..". (1. 2015).. Alan Ritter, Evan Wright William Casey and Tom Mitchell. Weakly Supervised Extraction of Computer Security Events from Twitter.. in WWW.. http://aritter.github.io/twitter_security.pdf,. (5. 2015).. Tom Mitchell, William Cohen, Estevam Hruschka, Partha Talukdar, Justin Betteridge, Andrew Carlson, Bhavana Dalvi, Matt Gardner, Bryan Kisiel, Jayant Krishnmurthy, Ni Lao, Kathryn Mazaitis, Tahir Mohammad, Ndapa Nakashole, Emmanouil Antonios Platanios, Alan Ritter, Mehdi Samadi, Burr Settles, Richard Wang, Derry Wijaya, Abhinav Gupta, Xinlei Chen, Abulhair Saparov, Malcolm Greaves and Joel Welling. Never Ending Learning.. in AAAI.. http://www.aaai.org/ocs/index.php/AAAI/AAAI15/paper/view/10049,. (1. 2015).. Xinlei Chen, Alan Ritter, Abhinav Gupta and Tom Mitchell. "Sense Discovery via Co-Clustering on Images and Text.". in IEEE Conference on Computer Vision and Pattern Recognition.. (6. 2015).. Mitchell, T.M.; Cohen, W.W.; Jr, E.R.H.; Talukdar, P.P. et al.. "Never-Ending Learning..". (1. 2015).. *Chen, X.; Ritter, A.; Gupta, A.; Mitchell, T.. "Sense discovery via co-clustering on images and text.". in CVPR.. (1. 2015).. 2014. Betteridge, J.; Ritter, A.; Mitchell, T.M.. "Assuming Facts Are Expressed More Than Once..". (1. 2014).. Jiwei Li, Alan Ritter and Eduard Hovy. Weakly Supervised User Profile Extraction from Twitter.. in ACL.. http://aclweb.org/anthology/P/P14/P14-1016.pdf,. (6. 2014).. *Li, J.; Ritter, A.; Hovy, E.H.. "Weakly Supervised User Profile Extraction from Twitter..". in ACL.. (1. 2014).. *Li, J.; Ritter, A.; Cardie, C.; Hovy, E.H.. "Major Life Event Extraction from Twitter based on Congratulations/Condolences Speech Acts..". in EMNLP.. (1. 2014).. *Betteridge, J.; Ritter, A.; Mitchell, T.M.. "Assuming Facts Are Expressed More Than Once..". in FLAIRS.. (1. 2014).. Li, J.; Ritter, A.; Cardie, C.; Hovy, E.H.. "Major Life Event Extraction from Twitter based on Congratulations/Condolences Speech Acts..". (1. 2014).. Li, J.; Ritter, A.; Hovy, E.H.. "Weakly Supervised User Profile Extraction from Twitter..". (1. 2014).. Jiwei Li, Alan Ritter, Claire Cardie and Eduard Hovy. Major Life Event Extraction from Twitter based on Congratulations/Condolences Speech Acts.. in EMNLP.. http://aclweb.org/anthology/D/D14/D14-1214.pdf,. (10. 2014).. 2013. Derczynski, L.; Ritter, A.; Clark, S.; Bontcheva, K.. "Twitter Part-of-Speech Tagging for All: Overcoming Sparse and Noisy Data..". (1. 2013).. Derczynski, L.; Ritter, A.; Clark, S.; Bontcheva, K.. "Twitter Part-of-Speech Tagging for All: Overcoming Sparse and Noisy Data..". (1. 2013).. 2012. Xu, W.; Ritter, A.; Dolan, B.; Grishman, R. et al.. "Paraphrasing for Style..". (1. 2012).. Xu, W.; Ritter, A.; Dolan, B.; Grishman, R. et al.. "Paraphrasing for style.". in Coling.. (1. 2012).. Ritter, A.; Mausam, ; Etzioni, O.; Clark, S.. "Open domain event extraction from twitter.". in KDD.. (1. 2012).. Ritter, A.; Mausam, ; Etzioni, O.; Clark, S.. "Open domain event extraction from twitter..". (1. 2012).. 2011. Ritter, A.; Clark, S.; Mausam, ; Etzioni, O.. "Named Entity Recognition in Tweets: An Experimental Study..". (1. 2011).. Ritter, A.; Clark, S.; Mausam, ; Etzioni, O.. "Named Entity Recognition in Tweets: An Experimental Study.". in EMNLP.. (1. 2011).. Ritter, A.; Cherry, C.; Dolan, W.B.. "Data-Driven Response Generation in Social Media.". in EMNLP.. (1. 2011).. Ritter, A.; Cherry, C.; Dolan, W.B.. "Data-Driven Response Generation in Social Media..". (1. 2011).. 2010. Ritter, A.; Cherry, C.; Dolan, B.. "Unsupervised Modeling of Twitter Conversations..". (1. 2010).. Ritter, A.; Cherry, C.; Dolan, B.. "Unsupervised modeling of Twitter conversations.". in NAACL.. (1. 2010).. Poon, H.; Christensen, J.; Domingos, P.; Etzioni, O. et al.. "Machine reading at the University of Washington.". (1. 2010).. Ritter, A.; Mausam, ; Etzioni, O.. "A Latent Dirichlet Allocation Method for Selectional Preferences..". (1. 2010).. Ritter, A.; Mausam, ; Etzioni, O.. "A latent dirichlet allocation method for selectional preferences.". in ACL.. (1. 2010).. 2009. Ritter, A.; Soderland, S.; Etzioni, O.. "What Is This, Anyway: Automatic Hypernym Discovery..". (1. 2009).. Ritter, A.; Basu, S.. "Learning to generalize for complex selection tasks..". (1. 2009).. Ritter, A.; Basu, S.. "Learning to generalize for complex selection tasks.". in IUI.. (1. 2009).. Ritter, A.; Soderland, S.; Etzioni, O.. "What Is This, Anyway: Automatic Hypernym Discovery..". (1. 2009).. 2008. Ritter, A.; Soderland, S.; Downey, D.; Etzioni, O.. "It's a Contradiction - no, it's not: A Case Study using Functional Relations..". (1. 2008).. Ritter, A.; Downey, D.; Soderland, S.; Etzioni, O.. "Its a contradictionno, its not: a case study using functional relations.". in EMNLP.. (1. 2008).. 2006. Ritter, A.L.; Hearne, J.W.; Nelson, P.A.. "Distributional Word Clustering in Parallel..". (1. 2006).. Meehan, J.M.; Ritter, A.. "Machine Learning Approach to Tuning Distributed Operating System Load Balancing Algorithms..". (1. 2006).. Meehan, J.M.; Ritter, A.. "Machine Learning Approach to Tuning Distributed Operating System Load Balancing Algorithms..". (1. 2006).. Department ofComputer Science and Engineering395 Dreese Laboratories2015 Neil AvenueColumbus, OH 43210-1277(614) 292-5813 Phone(614) 292-2911 Fax. Support CSE. Invest in a Buckeye. Your gift will make a difference.. Connect. facebookyoutube. 2019 The Ohio State UniversityAccessibilityPrivacy PolicyHelpLogin. diff --git a/src/data/compiled_bios/4068.txt b/src/data/compiled_bios/4068.txt new file mode 100644 index 0000000000..da87f5802c --- /dev/null +++ b/src/data/compiled_bios/4068.txt @@ -0,0 +1 @@ +Nicoleta Roman. Associate Professor, Lima Campus. 4240 Campus Drive. 460-E Galvin Hall. Lima,. OH. 45804. 567-242-7212. roman.45@osu.edu. http://lima.osu.edu/people/nroman/. Chapters2008. 2008.. Binaural sound segregation.. In Speech and Audio Processing in Adverse Environments,. edited by E. Hansler and G. Schmidt,. Journal Articles2013. Roman, N.; Woodruff, J.,. 2013,. "Speech intelligibility in reverberation with ideal binary masking: Effects of early reflections and signal-to-noise ratio threshold.". JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA. 133,. no. 3,. 2012. C. Mihai, A. Velea, N. Roman, L. Tugulea, and N. I. Moldovan,. 2012,. "Modeling the slaving of structural fluctuations in bio-molecules to those of nearby water.". DIGEST JOURNAL OF NANOMATERIALS AND BIOSTRUCTURES. 7,. no. 3,. 907-915 -. 907-915.. Mihai, C.; Velea, A.; Roman, N.; Tugulea, L. et al.,. 2012,. "Impact of solute molecular properties on the organization of nearby water.". DIGEST JOURNAL OF NANOMATERIALS AND BIOSTRUCTURES. 7,. no. 2,. 2011. Roman,Nicoleta; Woodruff,John,. 2011,. "Intelligibility of reverberant noisy speech with ideal binary masking.". JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA. 130,. no. 4,. 2153-2161 -. 2153-2161.. 2008. N. Roman and D.L. Wang,. 2008,. "Binaural tracking of multiple moving sources.". IEEE TRANSACTIONS ON AUDIO, SPEECH AND LANGUAGE PROCESSING. 16,. 728-739 -. 728-739.. 2006. N. Roman, s. Srinivasan and D.L. Wang,. 2006,. "Binaural segregation in multisource reverberant environments.". JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA. 120,. 4040-4051 -. 4040-4051.. N. Roman and D. L. Wang,. 2006,. "Pitch-based monaural segregation of reverberant speech.". JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA. 120,. no. 1,. 458-469 -. 458-469.. N. Roman and D.L. Wang,. 2006,. "Pitch based Monarural segregation of reverberant speech.". Journal of the Acoustical Society of America. 120,. 458-469 -. 458-469.. Srinivassan, S.; Roman, N.; Wang, D.L.,. 2006,. "Binary and ratio time frequency masks for robust speech.". SPEECH COMMUNICATION. 48,. 2003. D.L. Wang, G.L. Brown, and N. Roman,. 2003,. "Speech segregation based on sound localization.". Journal of the Acoustical Society of America. 114,. 2236-2252 -. 2236-2252.. N. Roman, D. L. Wang and G.J. Brown,. 2003,. "Speech segregation based on sound localization.". JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA. 114,. no. 4,. 2236-2252 -. 2236-2252.. Presentations. "Survey of Missign Data Techniques.". 2007,. Presented at Ohio Northern University,. "Integrating Markov random fields and model-based expectation maximization source separation and localization.". 2015,. Presented at Acoustical Society of America Meeting,. "Ideal binary masking in reverberation.". 2012,. Presented at European Signal Processing Conference,. "Sound separation.". 2010,. Presented at The Ohio State University, Lima,. Papers in Proceedings2015. M. I. Mandel and N. Roman. "Enforcing Consistency in Spectral Masks Using Markov Random Fields.". in European Signal Processing Conference.. (8. 2015).. 2013. Roman, N.; Mandel, M.I.. "Classification based binaural dereverberation.". (1. 2013).. Roman, N.; Mandel, M.I.. "Classification Based Binaural Dereverberation.". (1. 2013).. Roman, N.; Mandel, M.I.. "Classification Based Binaural Dereverberation.". in 14th Annual Conference of the International-Speech-Communication-Association (INTERSPEECH 2013).. (1. 2013).. N. Roman and M. I. Mandel. Classification based binaural dereverberation.. in INTERSPEECH.. http://www.isca-speech.org/archive/interspeech_2013/i13_3249.html,. (8. 2013).. 2012. Roman, N.; Woodruff, J.. "IDEAL BINARY MASKING IN REVERBERATION.". (1. 2012).. N. Roman and J. Woodruff. "Ideal binary masking in reverberation.". in 20th European Signal Processing Conference (EUSIPCO).. (8. 2012).. Roman, N.; Woodruff, J.. "Ideal binary masking in reverberation.". (11. 2012).. Roman, N.; Woodruff, J.. "IDEAL BINARY MASKING IN REVERBERATION.". in 20th European Signal Processing Conference (EUSIPCO).. (1. 2012).. 2008. Roman, N.; Wang, D.. "Binaural tracking of multiple moving sources.". in IEEE International Conference on Acoustics, Speech, and Signal Processing.. (5. 2008).. Roman, N.; Wang, D.. "Binaural tracking of multiple moving sources.". (5. 2008).. Roman, N.; Wang, D.. "Binaural tracking of multiple moving sources.". (5. 2008).. 2007. Srinivasan, S.; Roman, N.; Wang, D.; IEEE,. "Exploiting uncertainties for binaural speech recognition.". (1. 2007).. Srinivasan, S.; Roman, N.; Wang, D.. "Exploiting uncertainties for binaural speech recognition.". in 32nd IEEE International Conference on Acoustics, Speech and Signal Processing.. (1. 2007).. Srinivasan, S.; Roman, N.; Wang, D.L.. "Exploiting uncertainties for binaural speech recognition.". (8. 2007).. S. Srinivasan, N. Roman and D. L. Wang. "Exploiting uncertainties for binaural speech recognition.". in 32nd IEEE International Conference on Acoustics, Speech and Signal Processing.. (1. 2007).. 2006. D. Venugopal, G. Hu, and N. Roman. "Intelligent virus detection on mobile devices.". in Fourth Annual Conference on Privacy, Security and Trust.. (10. 2006).. Srinivasan, S.; Roman, N.; Wang, D.. "Binary and ratio time-frequency masks for robust speech recognition.". (11. 2006).. Roman, N.; Srinivasan, S.; Wang, D.; IEEE,. "Speech recognition in multisource reverberant environments with binaural inputs.". (1. 2006).. Srinivasan, S.; Roman, N.; Wang, D.. "Binary and ratio time-frequency masks for robust speech recognition.". in Workshop on Robustness Issues for Conversational Interaction.. (11. 2006).. Roman, N.; Srinivasan, S.; Wang, D.. "Speech recognition in multisource reverberant environments with binaural inputs.". in 31st IEEE International Conference on Acoustics, Speech and Signal Processing.. (1. 2006).. N. Roman, S. Srinivasan and D. L. Wang. "Speech recognition in multisource reverberant environments with binaural inputs.". in 31st IEEE International Conference on Acoustics, Speech and Signal Processing.. (1. 2006).. Roman, N.; Srinivasan, S.; Wang, D.. "Speech recognition in multisource reverberant environments with binaural inputs.". (12. 2006).. Srinivasan, S.; Roman, N.; Wang, D.. "Binary and ratio time-frequency masks for robust speech recognition.". (11. 2006).. 2005. N. Roman and D.L. Wang. A pitch-based model for separation of reverberant speech.. in INTERSPEECH.. http://www.isca-speech.org/archive/interspeech_2005/i05_2109.html,. (9. 2005).. Roman, N.; Wang, D.. "A pitch-based model for separation of reverberant speech.". (12. 2005).. 2004. S. Srinivasan, N. Roman, D.L. Wang. On binary and ratio time-frequency masks for robust speech recognition.. in ICSLP.. http://www.isca-speech.org/archive/interspeech_2004/i04_2541.html,. (10. 2004).. Roman, N.; Wang, D.L.; IEEE,. "Binaural sound segregation for multisource reverberant environments.". (1. 2004).. Roman, N.; Wang, D.L.; Brown, G.J.. "A classification-based cocktail-party processor.". in 17th Annual Conference on Neural Information Processing Systems (NIPS).. (1. 2004).. Roman, N.; Wang, D.L.. "Binaural sound segregation for multisource reverberant environments.". in IEEE International Conference on Acoustics, Speech, and Signal Processing.. (1. 2004).. Roman, N.; Wang, D.L.; Brown, G.J.. "A classification-based cocktail-party processor.". (1. 2004).. N. Roman and D.L. Wang. "Binaural sound segregation for multisource reverberant environments.". in IEEE International Conference on Acoustics, Speech, and Signal Processing.. (1. 2004).. N. Roman, D.L. Wang and G. J. Brown. "A classification-based cocktail-party processor.". in 17th Annual Conference on Neural Information Processing Systems (NIPS).. (1. 2004).. Roman, N.; Wang, D.L.; Brown, G.J.. "A classification-based cocktail-party processor.". (1. 2004).. 2003. Roman,N; Wang,D,L. "Binaural tracking of multiple moving sources.". in IEEE International Conference on Acoustics, Speech, and Signal Processing.. (1. 2003).. 2002. Roman, N.; Wang, D.L.; Brown, G.J.. "Location-based sound segregation.". (7. 2002).. Roman, N.; Wang, D.L.; Brown, G.J.; IEEE, et al.. "Location-based sound segregation.". (1. 2002).. Roman, N.; Wang, D.L.; Brown, G.J.. "Location-based sound segregation.". in IEEE International Conference on Acoustics, Speech, and Signal Processing.. (1. 2002).. Roman, N.; Wang, D.L.; Brown, G.J.. "Location-based sound segregation.". in International Joint Conference on Neural Networks (IJCNN 02).. (1. 2002).. Roman, N.; Wang, D.L.; Brown, G.J.; IEEE, et al.. "Location-based sound segregation.". (1. 2002).. N. Roman, D. L. Wang and G. J. Brown. "Location-based sound segregation.". in IEEE International Conference on Acoustics, Speech, and Signal Processing.. (1. 2002).. N. Roman, D. L. Wang and G.J. Brown. "Localization-based Sound Segregation.". in International Joint Conference on Neural Networks.. (1. 2002).. 2001. Roman, N.; Wang, D.L.; Brown, G.J.. "Speech segregation based on sound localization.". in International Joint Conference on Neural Networks (IJCNN 01).. (1. 2001).. Roman, N.; Wang, D.L.; Brown, G.J.. "Speech segregation based on sound localization.". (1. 2001).. N. Roman, D.L. Wang and G. J. Brown. "Speech segregation based on sound localization.". in International Joint Conference on Neural Networks (IJCNN 01).. (1. 2001).. Roman, N.; Wang, D.L.; Brown, G.J.; IEEE, et al.. "Speech segregation based on sound localization.". (1. 2001).. Unknown. "Classification based binaural dereverberation.". in 14th Annual Conference of the International Speech Communication Association.. Department ofComputer Science and Engineering395 Dreese Laboratories2015 Neil AvenueColumbus, OH 43210-1277(614) 292-5813 Phone(614) 292-2911 Fax. Support CSE. Invest in a Buckeye. Your gift will make a difference.. Connect. facebookyoutube. 2019 The Ohio State UniversityAccessibilityPrivacy PolicyHelpLogin. diff --git a/src/data/compiled_bios/4069.txt b/src/data/compiled_bios/4069.txt new file mode 100644 index 0000000000..93097220f3 --- /dev/null +++ b/src/data/compiled_bios/4069.txt @@ -0,0 +1 @@ +Atanas (Nasko) Rountev. Professor, Computer Science & Engineering. 685 Dreese Laboratories. 2015 Neil Ave. Columbus,. OH. 43210. 614-292-7203. rountev.1@osu.edu. http://web.cse.ohio-state.edu/~rountev. Honors. May, 2009. Lumley Research Award.. September, 2006. Faculty Early Career Development (CAREER) Award.. Journal Articles2014. Guoqing Xu, Nick Mitchell, Matthew Arnold, Atanas Rountev, Edith Schonberg, and Gary Sevitsky,. 2014,. "Scalable Runtime Bloat Detection Using Abstract Dynamic Slicing.". ACM Transactions on Software Engineering and Methodology (TOSEM). 23,. no. 3,. 23:1-23:50 -. 23:1-23:50.. 2013. Guoqing Xu and Atanas Rountev,. 2013,. "Precise Memory Leak Detection for Java Software Using Container Profiling.". ACM Transactions on Software Engineering and Methodology (TOSEM). 22,. no. 3,. 17:1-17:28 -. 17:1-17:28.. 2009. Jason Sawin and Atanas Rountev,. 2009,. "Improving Static Resolution of Dynamic Class Loading in Java Using Dynamically Gathered Environment Information.". International Journal of Automated Software Engineering (JASE). 16,. no. 2,. 357-381 -. 357-381.. 2006. Mariana Sharp and Atanas Rountev,. 2006,. "Static Analysis of Object References in RMI-based Java Software.". IEEE Transactions on Software Engineering (TSE). 32,. no. 9,. 664-681 -. 664-681.. 2005. Ana Milanova, Atanas Rountev, and Barbara G. Ryder,. 2005,. "Parameterized Object Sensitivity for Points-to Analysis for Java.". ACM Transactions on Software Engineering and Methodology (TOSEM). 14,. no. 1,. 1-41 -. 1-41.. 2004. Atanas Rountev, Ana Milanova, and Barbara G. Ryder,. 2004,. "Fragment Class Analysis for Testing of Polymorphism in Java Software.". IEEE Transactions on Software Engineering (TSE). 30,. no. 6,. 372-387 -. 372-387.. Ana Milanova, Atanas Rountev, and Barbara G. Ryder,. 2004,. "Precise Call Graphs for C Programs with Function Pointers.". International Journal of Automated Software Engineering (JASE). 11,. no. 1,. 7-26 -. 7-26.. Papers in Proceedings2017. Yan Wang and Atanas Rountev. "Who Changed You? Obfuscator Identification for Android.". in IEEE/ACM International Conference on Mobile Software Engineering and Systems (MOBILESoft'17).. (5. 2017).. Hailong Zhang and Atanas Rountev. "Analysis and Testing of Notifications in Android Wear Applications.". in International Conference on Software Engineering (ICSE'17).. (5. 2017).. 2016. Yan Wang and Atanas Rountev. "Profiling the Responsiveness of Android Applications via Automated Resource Amplification.". in IEEE/ACM International Conference on Mobile Software Engineering and Systems (MOBILESoft'16).. (5. 2016).. Yan Wang, Hailong Zhang, and Atanas Rountev. "On the Unsoundness of Static Analysis for Android GUIs.". in ACM SIGPLAN International Workshop on the State Of the Art in Program Analysis (SOAP'16).. (6. 2016).. Haowei Wu, Shengqian Yang, and Atanas Rountev. "Static Detection of Energy Defect Patterns in Android Applications.". in International Conference on Compiler Construction (CC'16).. (3. 2016).. Hailong Zhang, Haowei Wu, and Atanas Rountev. "Automated Test Generation for Detection of Leaks in Android Applications.". in IEEE/ACM International Workshop on Automation of Software Test (AST'16).. (5. 2016).. 2015. Mahesh Ravishankar, Roshan Dathatri, Venmugil Elango, Louis-Noel Pouchet, J. Ramanujam, Atanas Rountev, and P. Sadayappan. "**include in CSE annual report** Distributed Memory Code Generation for Mixed Irregular/Regular Computations.". in ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP'15).. (2. 2015).. Shengqian Yang, Hailong Zhang, Haowei Wu, Yan Wang, Dacong Yan, and Atanas Rountev. "Static Window Transition Graphs for Android.". in IEEE/ACM International Conference on Automated Software Engineering (ASE'15).. (11. 2015).. Shengqian Yang, Dacong Yan, Haowei Wu, Yan Wang, and Atanas Rountev. "**include in CSE annual report** Static Control-Flow Analysis of User-Driven Callbacks in Android Applications.". in International Conference on Software Engineering (ICSE'15).. (5. 2015).. 2014. Dacong Yan, Guoqing Xu, Shengqian Yang, and Atanas Rountev. "LeakChecker: Practical Static Memory Leak Detection for Managed Languages.". in International Symposium on Code Generation and Optimization (CGO'14).. (2. 2014).. Atanas Rountev and Dacong Yan. "Static Reference Analysis for GUI Objects in Android Software.". in International Symposium on Code Generation and Optimization (CGO'14).. (2. 2014).. 2013. Dacong Yan, Shengqian Yang, and Atanas Rountev. "Systematic Testing for Resource Leaks in Android Applications.". in IEEE International Symposium on Software Reliability Engineering (ISSRE'13).. (11. 2013).. Shengqian Yang, Dacong Yan, and Atanas Rountev. "Testing for Poor Responsiveness in Android Applications.". in International Workshop on the Engineering of Mobile-Enabled Systems (MOBS'13).. (5. 2013).. 2012. Dacong Yan, Guoqing Xu, and Atanas Rountev. "Rethinking Soot for Summary-Based Whole-Program Analysis.". in ACM SIGPLAN International Workshop on the State Of the Art in Java Program Analysis (SOAP'12).. (6. 2012).. Shengqian Yang, Dacong Yan, and Atanas Rountev. "Dynamic Analysis of Inefficiently-Used Containers.". in International Workshop on Dynamic Analysis (WODA'12).. (7. 2012).. Guoqing Xu, Dacong Yan, and Atanas Rountev. "Static Detection of Loop-Invariant Data Structures.". in European Conference on Object-Oriented Programming (ECOOP'12).. (6. 2012).. Dacong Yan, Guoqing Xu, and Atanas Rountev. "Uncovering Performance Problems in Java Applications with Reference Propagation Profiling.". in International Conference on Software Engineering (ICSE'12).. (6. 2012).. 2011. Guoqing Xu, Michael D. Bond, Feng Qin, and Atanas Rountev. "LeakChaser: Helping Programmers Narrow Down Causes of Memory Leaks.". in ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI'11).. (6. 2011).. Jason Sawin and Atanas Rountev. "Assumption Hierarchy for a CHA Call Graph Construction Algorithm.". in IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM'11).. (9. 2011).. Xu, G.; Bond, M.D.; Qin, F.; Rountev, A.. "LeakChaser: Helping Programmers Narrow Down Causes of Memory Leaks.". in ACM SIGPLAN/SIGBED Conference on Languages Compilers, Tools, and Theory for Embedded Systems (LCTES 2011).. (6. 2011).. Xu, G.; Bond, M.D.; Qin, F.; Rountev, A.. "LeakChaser: Helping Programmers Narrow Down Causes of Memory Leaks.". (6. 2011).. Dacong Yan, Guoqing Xu, and Atanas Rountev. "Demand-Driven Context-Sensitive Alias Analysis for Java.". in ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA'11).. (7. 2011).. Sanket Tavarageri, Louis-Noel Pouchet, J. Ramanujam, Atanas Rountev, and P. Sadayappan. "Dynamic Selection of Tile Sizes.". in IEEE International Conference on High Performance Computing (HiPC'11).. (12. 2011).. 2010. Guoqing Xu and Atanas Rountev. "Detecting Inefficiently-Used Containers to Avoid Bloat.". in ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI'10).. (6. 2010).. Guoqing Xu, Nick Mitchell, Matthew Arnold, Atanas Rountev, Edith Schonberg, and Gary Sevitsky. "Finding Low-Utility Data Structures.". in ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI'10).. (6. 2010).. Guoqing Xu, Nick Mitchell, Matthew Arnold, Atanas Rountev, and Gary Sevitsky. "Software Bloat Analysis: Finding, Removing, and Preventing Performance Problems in Modern Large-Scale Object-Oriented Applications.". in FSE/SDP Workshop on the Future of Software Engineering Research (FOSER'10).. (10. 2010).. 2009. Qingda Lu, Christophe Alias, Uday Bondhugula, Thomas Henretty, Sriram Krishnamoorthy, J. Ramanujam, Atanas Rountev, P. Sadayappan, Yongjian Chen, Haibo Lin, and Tin-Fook Ngai. "Data Layout Transformation for Enhancing Data Locality on NUCA Chip Multiprocessors.". in International Conference on Parallel Architectures and Compilation Techniques (PACT'09).. (9. 2009).. Guoqing Xu, Atanas Rountev, and Manu Sridharan. "Scaling CFL-Reachability-Based Points-to Analysis Using Context-Sensitive Must-Not-Alias Analysis.". in European Conference on Object-Oriented Programming (ECOOP'09).. (7. 2009).. Guoqing Xu, Matthew Arnold, Nick Mitchell, Atanas Rountev, and Gary Sevitsky. "Go with the Flow: Profiling Copies To Find Runtime Bloat.". in ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI'09).. (6. 2009).. 2008. Guoqing Xu and Atanas Rountev. "Merging Equivalent Contexts for Scalable Heap-Cloning-Based Context-Sensitive Points-to Analysis.". in ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA'08).. (7. 2008).. Atanas Rountev, Mariana Sharp, and Guoqing Xu. "IDE Dataflow Analysis in the Presence of Large Object-Oriented Libraries.". in International Conference on Compiler Construction (CC'08).. (4. 2008).. Guoqing Xu and Atanas Rountev. "Precise Memory Leak Detection for Java Software Using Container Profiling.". in International Conference on Software Engineering (ICSE'08).. (5. 2008).. Muthu Baskaran, Uday Bondhugula, J. Ramanujam, Atanas Rountev, and P. Sadayappan. "A Compiler Framework for Optimization of Affine Loop Nests for GPGPUs.". in ACM International Conference on Supercomputing (ICS'08).. (6. 2008).. D. Brian Larkins, James Dinan, Sriram Krishnamoorthy, Srinivasan Parthasarathy, Atanas Rountev, and P. Sadayappan. "Global Trees: A Framework for Linked Data Structures on Distributed Memory Parallel Systems.". in International Conference for High Performance Computing, Networking, Storage and Analysis (SC'08).. (11. 2008).. Guoqing Xu and Atanas Rountev. "AJANA: A General Framework for Source-Code-Level Interprocedural Dataflow Analysis of AspectJ Software.". in International Conference on Aspect-Oriented Software Development (AOSD'08).. (4. 2008).. 2007. Jason Sawin and Atanas Rountev. "Improved Static Resolution of Dynamic Class Loading in Java.". in IEEE International Working Conference on Source Code Analysis and Manipulation (SCAM'07).. (10. 2007).. Alexandar Pantaleev and Atanas Rountev. "Identifying Data Transfer Objects in EJB Applications.". in International Workshop on Dynamic Analysis (WODA'07).. (5. 2007).. Raffi Khatchadourian, Jason Sawin, and Atanas Rountev. "Automated Refactoring of Legacy Java Software to Enumerated Types.". in IEEE International Conference on Software Maintenance (ICSM'07).. (10. 2007).. Guoqing Xu and Atanas Rountev. "Regression Test Selection for AspectJ Software.". in International Conference on Software Engineering (ICSE'07).. (5. 2007).. Guoqing Xu, Atanas Rountev, Yan Tang, and Feng Qin. "Efficient Checkpointing of Java Software Using Context-Sensitive Capture and Replay.". in ACM SIGSOFT Symposium on the Foundations of Software Engineering (FSE'07).. (9. 2007).. Rajkiran Panuganti, Muthu Manikandan Baskaran, Ashok Krishnamurthy, Jarek Nieplocha, Atanas Rountev, and P. Sadayappan. "An Efficient Distributed Shared Memory Toolbox for MATLAB.". in International Workshop on High-Level Parallel Programming Models and Supportive Environments (HIPS'07).. (3. 2007).. 2006. Atanas Rountev, Scott Kagan, and Thomas Marlowe. "Interprocedural Dataflow Analysis in the Presence of Large Libraries.". in International Conference on Compiler Construction (CC'06).. (3. 2006).. Jason Sawin, Mariana Sharp, and Atanas Rountev. "Generating Run-Time Progress Reports for a Points-to Analysis in Eclipse.". in Eclipse Technology Exchange Workshop at OOPSLA (ETX'06).. (10. 2006).. Jason Sawin and Atanas Rountev. "Estimating the Run-Time Progress of a Call Graph Construction Algorithm.". in IEEE International Workshop on Source Code Analysis and Manipulation (SCAM'06).. (9. 2006).. 2005. Atanas Rountev, Olga Volgin, and Miriam Reddoch. "Static Control-Flow Analysis for Reverse Engineering of UML Sequence Diagrams.". in ACM SIGPLAN-SIGSOFT Workshop on Program Analysis for Software Tools and Engineering (PASTE'05).. (9. 2005).. Mariana Sharp and Atanas Rountev. "Static Analysis of Object References in RMI-based Java Software.". in IEEE International Conference on Software Maintenance (ICSM'05).. (9. 2005).. Atanas Rountev and Beth Harkness Connell. "Object Naming Analysis for Reverse-Engineered Sequence Diagrams.". in International Conference on Software Engineering (ICSE'05).. (5. 2005).. Kulczycki, G.; Sitaraman, M.; Weide, B.W.; Rountev, A.. "A specification-based approach to reasoning about pointers.". (9. 2005).. Gregory Kulczycki, Murali Sitaraman, Bruce Weide, and Atanas Rountev. "A Specification-based Approach to Reasoning about Pointers.". in International Workshop on Specification and Verification of Component-Based Systems (SAVCBS'05).. (9. 2005).. Richard Sharp and Atanas Rountev. "Interactive Exploration of UML Sequence Diagrams.". in IEEE Workshop on Visualizing Software for Understanding and Analysis (VISSOFT'05).. (9. 2005).. Atanas Rountev. "Component-Level Dataflow Analysis.". in International SIGSOFT Symposium on Component-Based Software Engineering (CBSE'05).. (5. 2005).. Atanas Rountev, Scott Kagan, and Jason Sawin. "Coverage Criteria for Testing of Object Interactions in Sequence Diagrams.". in Fundamental Approaches to Software Engineering (FASE'05).. (4. 2005).. Mariana Sharp, Jason Sawin, and Atanas Rountev. "Building a Whole-Program Type Analysis in Eclipse.". in Eclipse Technology Exchange Workshop at OOPSLA (ETX'05).. (10. 2005).. 2004. Atanas Rountev, Scott Kagan, and Michael Gibas. "Static and Dynamic Analysis of Call Chains in Java.". in ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA'04).. (7. 2004).. Atanas Rountev, Scott Kagan, and Michael Gibas. "Evaluating the Imprecision of Static Analysis.". in ACM SIGPLAN-SIGSOFT Workshop on Program Analysis for Software Tools and Engineering (PASTE'04).. (6. 2004).. Atanas Rountev. "Precise Identification of Side-effect-free Methods in Java.". in IEEE International Conference on Software Maintenance (ICSM'04).. (9. 2004).. 2003. Atanas Rountev, Ana Milanova, and Barbara G. Ryder. "Fragment Class Analysis for Testing of Polymorphism in Java Software.". in International Conference on Software Engineering (ICSE'03).. (5. 2003).. 2002. Ana Milanova, Atanas Rountev, and Barbara G. Ryder. "Constructing Precise Object Relation Diagrams.". in IEEE International Conference on Software Maintenance (ICSM'02).. (9. 2002).. Ana Milanova, Atanas Rountev, and Barbara G. Ryder. "Parameterized Object Sensitivity for Points-to and Side-Effect Analyses for Java.". in ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA'02).. (7. 2002).. Ana Milanova, Atanas Rountev, and Barbara G. Ryder. "Precise Call Graph Construction in the Presence of Function Pointers.". in IEEE International Workshop on Source Code Analysis and Manipulation (SCAM'02).. (9. 2002).. 2001. Harrold, M.J.; Jones, J.A.; Li, T.Y.; Liang, D.L. et al.. "Regression test selection for Java software.". (11. 2001).. Harrold, M.J.; Jones, J.A.; Li, T.Y.; Liang, D.L. et al.. "Regression test selection for Java software.". (11. 2001).. Harrold, M.J.; Jones, J.A.; Li, T.; Liang, D. et al.. "Regression test selection for Java software.". (12. 2001).. Atanas Rountev and Barbara G. Ryder. "Points-to and Side-effect Analyses for Programs Built with Precompiled Libraries.". in International Conference on Compiler Construction (CC'01).. (3. 2001).. Atanas Rountev, Ana Milanova, and Barbara G. Ryder. "Points-to Analysis for Java Using Annotated Constraints.". in Conference on Object-Oriented Programming, Systems, Languages and Applications (OOPSLA'01).. (10. 2001).. 2000. Atanas Rountev and Satish Chandra. "Off-line Variable Substitution for Scaling Points-to Analysis.". in ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI'00).. (6. 2000).. 1999. Atanas Rountev, Barbara G. Ryder, and William Landi. "Data-Flow Analysis of Program Fragments.". in ACM SIGSOFT Symposium on the Foundations of Software Engineering (FSE'99).. (9. 1999).. Department ofComputer Science and Engineering395 Dreese Laboratories2015 Neil AvenueColumbus, OH 43210-1277(614) 292-5813 Phone(614) 292-2911 Fax. Support CSE. Invest in a Buckeye. Your gift will make a difference.. Connect. facebookyoutube. 2019 The Ohio State UniversityAccessibilityPrivacy PolicyHelpLogin. diff --git a/src/data/compiled_bios/407.txt b/src/data/compiled_bios/407.txt new file mode 100644 index 0000000000..5ecf7d46d6 --- /dev/null +++ b/src/data/compiled_bios/407.txt @@ -0,0 +1 @@ +Name: Vogel, Don G.:: Position: Senior Lecturer:: Degrees: M.S., Computer Science, Missouri University of Science and Technology; B.A., Mathematics, Saint Louis University; diff --git a/src/data/compiled_bios/4070.txt b/src/data/compiled_bios/4070.txt new file mode 100644 index 0000000000..1834523006 --- /dev/null +++ b/src/data/compiled_bios/4070.txt @@ -0,0 +1 @@ +P Sadayappan. Professor, Computer Science & Engineering. 591 Dreese Laboratories. 2015 Neil Ave. Columbus,. OH. 43210. 614-292-0053. sadayappan.1@osu.edu. http://web.cse.ohio-state.edu/~saday. Honors. May, 2016. Joel & Ruth Spira Excellence in Teaching Award.. April, 2015. Outstanding Teaching Award.. January, 2008. Outstanding Teaching Award.. January, 2008. Lumley Research Award.. January, 2006. Outstanding Service Award.. January, 2004. Best Paper Award.. January, 2003. Best Paper Award.. January, 2002. Lumley Research Award.. January, 1999. Outstanding Service Award.. January, 1997. Lumley Research Award.. Journal Articles2015. Venmugil Elango, Naser Sedaghati, Fabrice Rastello, Louis-Nol Pouchet, J. Ramanujam, Radu Teodorescu, P. Sadayappan,. 2015,. "On Using the Roofline Model with Lower Bounds on Data Movement.". ACM Transactions on Architecture and Code Optimization. 11,. no. 4,. 67:1-67:23 -. 67:1-67:23.. Martin Kong, Antoniu Pop, Louis-Nol Pouchet, R. Govindarajan, Albert Cohen, P. Sadayappan,. 2015,. "Compiler/Runtime Framework for Dynamic Dataflow Parallelization of Tiled Programs.". ACM Transactions on Architecture and Code Optimization. 11,. no. 4,. 61:1-61:30 -. 61:1-61:30.. 2013. Park,Eunjung; Cavazos,John; Pouchet,Louis-Noel; Bastoul,Cedric; Cohen,Albert; Sadayappan,P,. 2013,. "Predictive Modeling in a Polyhedral Optimization Space.". INTERNATIONAL JOURNAL OF PARALLEL PROGRAMMING. 41,. no. 5,. 704-750 -. 704-750.. Fauzia,Naznin; Elango,Venmugil; Ravishankar,Mahesh; Ramanujam,J; Rastello,Fabrice; Rountev,Atanas; Pouchet,Louis-Noel; Sadayappan,P,. 2013,. "Beyond Reuse Distance Analysis: Dynamic Analysis for Characterization of Data Locality Potential.". ACM TRANSACTIONS ON ARCHITECTURE AND CODE OPTIMIZATION. 10,. no. 4,. 53 -. 53.. 2012. Kevin Stock, Louis-Nol Pouchet, and P. Sadayappan,. 2012,. "Using machine learning to improve automatic vectorization.". ACM Transactions on Architecture and Code Optimization. 8,. no. 4,. 50 -. 50.. Sadayappan, P.; Ramanujam, J.,. 2012,. "Chairs' welcome.". ACM SIGPLAN Notices. 47,. no. 8,. 2011. Naga Vydyanathan, mit V. atalyrek, Tahsin M. Kur, P Sadayappan, and Joel H. Saltz,. 2011,. "Optimizing latency and throughput of application workflows on clusters.". Parallel Computing. 37,. no. 10-11,. 694-712 -. 694-712.. 2009. Vydyanathan, N.; Krishnamoorthy, S.; Sabin, G. M.; Catalyurek, U. V.; Kurc, T.; Saltz, J. H.; Catalyurek, U. V.; Sadayappan, P.; Saltz, J. H.,. 2009,. "An integrated approach to locality-conscious processor allocation and scheduling of mixed-parallel applications.". IEEE Transactions on Parallel and Distributed Systems. 20,. no. 8,. 1158-1172 -. 1158-1172.. 2006. Engelmann, C.; Scott, S.L.; Bernholdt, D.E.; Gottumukkala, N.R. et al.,. 2006,. "MOLAR: Adaptive runtime support for high-end computing operating and runtime systems.". Operating Systems Review (ACM). 40,. no. 2,. 63-72 -. 63-72.. 2004. Tseng, Y.C.; Lai, T.H.; Sadayappan, P.; Lin, Y.B.,. 2004,. "Journal of information science and engineering: Foreword.". Journal of Information Science and Engineering. 20,. no. 3,. Krishnamoorthy, S.; Baumgartner, G.; Cociorva, D.; Lam, C.C. et al.,. 2004,. "Efficient parallel out-of-core matrix transposition.". International Journal of High Performance Computing and Networking. 2,. no. 2-4,. 110-119 -. 110-119.. Srinivasan, S.; Krishnamoorthy, S.; Sadayappan, P.,. 2004,. "Robust scheduling of moldable parallel jobs.". International Journal of High Performance Computing and Networking. 2,. no. 2-4,. 120-132 -. 120-132.. 1997. S. K. S. Gupta, C.-H. Huang, P. Sadayappan, and R. W. Johnson,. 1997,. "A Technique for Overlapping Computation and Communication for Block Recursive Algorithms.". Concurrency: Practiceand Experience. 9,. no. 12,. C. Lam, C.-H. Huang and P. Sadayappan,. 1997,. "Optimal Algorithms for All-to-all Complete Exchange on Rings and Tori".". Journal of Parallel and Distributed Computing. 43,. no. 1,. 1-13 -. 1-13.. C. Lam, P. Sadayappan and R. Wenger,. 1997,. "On Optimizing a Class of Multi-Dimensional Loops with Reductions for Parallel Execution.". Parallel Processing Letters. 7,. no. 2,. 157-168 -. 157-168.. 1996. Y. S. Choi-Grogan, K. Eswar, P. Sadayappan, and R. Lee,. 1996,. "Sequential and Parallel Implementations of a Partitioning Finite Element Method,.". IEEE Transactions on Antennas and Propagation. 44,. no. 12,. 1609-1616 -. 1609-1616.. 1995. Kumar, B.; Huang, C.H.; Sadayappan, P.; Johnsson, R.W.,. 1995,. "A tensor product formulation of strassens matrix multiplication algorithm with memory reduction.". Scientific Programming. 4,. no. 4,. 275-289 -. 275-289.. Kumar, B.; Huang, C.H.; Sadayappan, P.; Johnson, R.W.,. 1995,. "A Tensor Product Formulation of Strassens Matrix Multiplication Algorithm with Memory Reduction.". Scientific Programming. 4,. no. 4,. 275-289 -. 275-289.. 1994. Gupta, S.K.S.; Huang, C.H.; Sadayappan, P.; Johnson, R.W.,. 1994,. "Implementing fast Fourier transforms on distributed-memory multiprocessors using data redistributions.". Parallel processing letters. 4,. no. 4,. 477-488 -. 477-488.. 1993. Sharma, S.; Huang, C.H.; Sadayappan, P.,. 1993,. "On Data Dependence Analysis for Compiling Programs on Distributed-Memory Machines (Extended Abstract).". ACM SIGPLAN Notices. 28,. no. 1,. 13-16 -. 13-16.. 1992. Ramanujam, J.; Sadayappan, P.,. 1992,. "Iteration Space Tiling for Distributed Memory Machines.". Advances in Parallel Computing. 3,. no. C,. 255-270 -. 255-270.. 1987. Sadayappan, P.; Ercal, F.,. 1987,. "Nearest-Neighbor Mapping of Finite Element Graphs onto Processor Meshes.". IEEE Transactions on Computers. C-36,. no. 12,. 1408-1424 -. 1408-1424.. 1980. Bhatt, D.; Sadayappan, P.; Kieburtz, R.B.; Smith, D.R.,. 1980,. "OPERATING SYSTEM KERNEL FOR A HIERARCHICAL MULTICOMPUTER..". Proceedings - IEEE Computer Society International Conference. 665-672 -. 665-672.. Presentations. "Domain-Specific Compiler Optimization for High-Performance Computing.". 2011,. Presented at Indian Institute of Technology, Bombay,. "Compiler optimization for high-performance computing.". 2011,. Presented at Indian Institute of Technology, Madras,. "Software Challenges for High Performance Computing.". 2011,. Presented at Indian Institute of Science, Bengaluru, India,. "Domain-Specific Frameworks for High-Performance Computing.". 2011,. Presented at Indian Association for the Cultivation of Science,. "Pattern-Based Compiler Optimization for Performance Portability.". 2012,. Presented at CNRS. Lyon, France,. "Domain-specific abstractions for performance portability.". 2012,. Presented at Imperial College, London,. "Domain-specific abstractions for performance portability.". 2012,. Presented at University of Illinois at Urbana-Champaign,. "Compiler Optmization for Heterogeneous Computing (Keynote).". 2011,. Presented at Workshop on Characterizing Applications for Heterogeneous Exascale Systems (CACHES 2011),. "Tiling: Progress and Challenges.". 2014,. Presented at SIAM Parallel Processing Conference: MiniSymposium on Tiling,. "Distributed Contraction of Tensors.". 2014,. Presented at SIAM Parallel Processing: Workshop on Parallel Quantum Chemistry,. "Domain-Specific Abstractions for Compiler Optimization.". 2014,. Presented at Seminar at Stony Brook University,. "Challenges in Optimization of Stencil Computations.". 2013,. Presented at Workshop on Optimizing Stencil Computations (WOSC) 2013, help with OOPSLA/SPLASH 2013,. "Future Computational Challenges.". 2014,. Presented at Software Innovation Institute for Computational Chemistry and Materials Modeling,. "Domain-specific abstractions for compiler optimization.". 2014,. Presented at Seminar at University of Utah,. "Domain-Specific Abstractions for High-Performance Computing.". 2012,. Presented at Distinguished Seminar Series, Department of Computer Science, University of Illinois,. Papers in Proceedings2018. Hong, C.; Sukumaran-Rajam, A.; Kim, J.; Rawat, P.S. et al.. "POSTER: Performance Modeling for GPUs using Abstract Kernel Emulation.". (1. 2018).. Hong, C.; Sukumaran-Rajam, A.; Kim, J.; Rawat, P.S. et al.. "POSTER: Performance Modeling for GPUs using Abstract Kernel Emulation.". in 23rd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP).. (1. 2018).. Hong, C.; Sukumaran-Rajam, A.; Kim, J.; Rawat, P.S. et al.. "POSTER: Performance modeling for GPUs using abstract kernel emulation.". (2. 2018).. Rawat, P.S.; Sukumaran-Rajam, A.; Rountev, A.; Rastello, F. et al.. "Register optimizations for stencils on GPUs.". (2. 2018).. Moon, G.E.; Sukumaran-Rajam, A.; Sadayappan, P.. "Parallel LDA with Over-Decomposition.". (2. 2018).. Hong, C.; Sukumaran-Rajam, A.; Kim, J.; Rawat, P.S. et al.. "POSTER: Performance Modeling for GPUs using Abstract Kernel Emulation.". in 23rd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP).. (1. 2018).. Rawat, P.S.; Sukumaran-Rajam, A.; Rountev, A.; Rastello, F. et al.. "Register Optimizations for Stencils on GPUs.". in 23rd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP).. (1. 2018).. Hong, C.; Sukumaran-Rajam, A.; Kim, J.; Rawat, P.S. et al.. "POSTER: Performance Modeling for GPUs using Abstract Kernel Emulation.". (1. 2018).. Rawat, P.S.; Sukumaran-Rajam, A.; Rountev, A.; Rastello, F. et al.. "Register Optimizations for Stencils on GPUs.". (1. 2018).. Kurt, S.E.; Thumma, V.; Hong, C.; Sukumaran-Rajam, A. et al.. "Characterization of Data Movement Requirements for Sparse Matrix Computations on GPUs.". (2. 2018).. Rawat, P.S.; Sukumaran-Rajam, A.; Rountev, A.; Rastello, F. et al.. "Register Optimizations for Stencils on GPUs.". in 23rd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP).. (1. 2018).. 2017. Rawat, P.S.; Sukumaran-Rajam, A.; Rountev, A.; Rastello, F. et al.. "POSTER: Statement Reordering to Alleviate Register Pressure for Stencils on GPUs.". in 26th International Conference on Parallel Architectures and Compilation Techniques (PACT).. (1. 2017).. Moon, G.E.; Sukumaran-Rajam, A.; Sadayappan, P.. "Parallel LDA with Over-Decomposition.". in IEEE 24th International Conference on High Performance Computing Workshops (HiPCW).. (1. 2017).. Moon, G.E.; Sukumaran-Rajam, A.; Sadayappan, P.; IEEE,. "Parallel LDA with Over-Decomposition.". (1. 2017).. Hong, C.; Sukumaran-Rajam, A.; Kim, J.; Sadayappan, P.. "MultiGraph: Efficient Graph Processing on GPUs.". (10. 2017).. Rawat, P.S.; Sukumaran-Rajam, A.; Rountev, A.; Rastello, F. et al.. "POSTER: Statement Reordering to Alleviate Register Pressure for Stencils on GPUs.". (10. 2017).. Rawat, P.S.; Sukumaran-Rajam, A.; Rountev, A.; Rastello, F. et al.. "POSTER: Statement Reordering to Alleviate Register Pressure for Stencils on GPUs.". (1. 2017).. Hong, C.; Sukumaran-Rajam, A.; Kim, J.; Sadayappan, P. et al.. "MultiGraph: Efficient Graph Processing on GPUs.". (1. 2017).. Hong, C.; Sukumaran-Rajam, A.; Kim, J.; Sadayappan, P.. "MultiGraph: Efficient Graph Processing on GPUs.". in 26th International Conference on Parallel Architectures and Compilation Techniques (PACT).. (1. 2017).. Kurt, S.E.; Thumma, V.; Hong, C.; Sukumaran-Rajam, A. et al.. "Characterization of data movement requirements for sparse matrix computations on GPUs.". in IEEE 24th International Conference on High Performance Computing Workshops (HiPCW).. (1. 2017).. Rajbhandari, S.; Rastello, F.; Kowalski, K.; Krishnamoorthy, S. et al.. "Optimizing the Four-Index Integral Transform Using Data Movement Lower Bounds Analysis.". (8. 2017).. Rajbhandari, S.; Rastello, F.; Kowalski, K.; Krishnamoorthy, S. et al.. "Optimizing the Four-Index Integral Transform Using Data Movement Lower Bounds Analysis.". in 22nd ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP).. (8. 2017).. Kunchum, R.; Chaudhry, A.; Sukumaran-Rajam, A.; Niu, Q. et al.. "On improving performance of sparse matrix-matrix multiplication on GPUs.". (6. 2017).. Tavarageri, S.; Kim, W.; Torrellas, J.; Sadayappan, P.. "Compiler Support for Software Cache Coherence.". (2. 2017).. Nisa, I.; Sukumaran-Rajam, A.; Kunchum, R.; Sadayappan, P.. "Parallel CCD++ on GPU for matrix factorization.". (2. 2017).. Kong, M.; Pouchet, L.N.; Sadayappan, P.; Sarkar, V.. "PIPES: A Language and Compiler for Task-Based Programming on Distributed-Memory Clusters.". (3. 2017).. Israt Nisa, Aravind Sukumaran-Rajam, Rakshith Kunchum, P Sadayappan. "Parallel CCD++ on GPU for Matrix Factorization.". (2. 2017).. Kurt, S.E.; Thumma, V.; Hong, C.; Sukumaran-Rajam, A. et al.. "Characterization of data movement requirements for sparse matrix computations on GPUs.". (1. 2017).. Samyam Rajbhandari, Fabrice Rastello, Karol Kowalski, Sriram Krishnamoorthy, P Sadayappan. "Optimizing the Four-Index Integral Transform Using Data Movement Lower Bounds Analysis.". (1. 2017).. Rajbhandari, S.; Rastello, F.; Kowalski, K.; Krishnamoorthy, S. et al.. "Optimizing the four-index integral transform using data movement lower bounds analysis.". (1. 2017).. Rajbhandari, S.; Kim, J.; Krishnamoorthy, S.; Pouchet, L.N. et al.. "A Domain-Specific Compiler for a Parallel Multiresolution Adaptive Numerical Simulation Environment.". (3. 2017).. 2016. Carpenter ., Rastello F., Sadayappan P., Sidiropoulos A.. Approximating the I/O complexity of one-shot red-blue pebbling (brief announcement).. in ACM Symposium on Parallelism in Algorithms and Architectures.. http://doi.acm.org/10.1145/2935764.2935807,. (7. 2016).. Bao, W.; Krishnamoorthy, S.; Pouchet, L-N.; Sadayappan, P.. "PolyCheck: Dynamic Verification of Iteration Space Transformations on Affine Programs.". (1. 2016).. Carpenter, T.; Rastello, F.; Sadayappan, R.; Sidiropoulos, A.. "Brief announcement: Approximating the I/O complexity of one-shot red-blue pebbling.". (7. 2016).. Wenlei Bao, Sriram Krishnamoorthy, Louis-Noel Pouchet, Fabrice Rastello, P. Sadayappan. "PolyCheck: Dynamic Verification of Iteration Space Transformations on Affine Programs.". in POPL.. (1. 2016).. Rajbhandari, S.; Kim, J.; Krishnamoorthy, S.; Poucheti, L-N. et al.. "On Fusing Recursive Traversals of K-d Trees.". (1. 2016).. Rawat, P.S.; Hong, C.; Ravishankar, M.; Grover, V. et al.. "Effective Resource Management for Enhancing Performance of 2D and 3D Stencils on GPUs.". in 9th Annual Workshop on General Purpose Processing using Graphics Processing Unit (GPUPU).. (1. 2016).. Bao, W.; Hong, C.; Chunduri, S.; Krishnamoorthy, S. et al.. "Static and Dynamic Frequency Scaling on Multicore CPUs.". (12. 2016).. Hong, C.; Bao, W.; Cohen, A.; Krishnamoorthy, S. et al.. "Effective Padding of Multidimensional Arrays to Avoid Cache Conflict Misses.". (6. 2016).. Domagala, L.; van Amstel, D.; Rastello, F.; Sadayappan, P.. "Register Allocation and Promotion through Combined Instruction Scheduling and Loop Unrolling.". in 25th International Conference on Compiler Construction (CC).. (1. 2016).. Rawat, P.S.; Hong, C.; Ravishankar, M.; Grover, V. et al.. "Resource Conscious Reuse-Driven Tiling for GPUs.". in International Conference on Parallel Architectures and Compilation (PACT).. (1. 2016).. Kettimuthu, R.; Agrawal, G.; Sadayappan, P.; Foster, I.. "Differentiated Scheduling of Response-Critical and Best-Effort Wide-Area Data Transfers.". in 30th IEEE International Parallel and Distributed Processing Symposium (IPDPS).. (1. 2016).. Martin Kong, Louis-Nol Pouchet, P Sadayappan, Vivek Sarkar. "PIPES: a language and compiler for task-based programming on distributed-memory clusters.". (11. 2016).. Kim, W.; Tavarageri, S.; Sadayappan, P.; Torrellas, J.. "Architecting and Programming a Hardware-Incoherent Multiprocessor Cache Hierarchy.". in 30th IEEE International Parallel and Distributed Processing Symposium (IPDPS).. (1. 2016).. Wenlei Bao, Changwan Hong, Sudheer Chunduri, Sriram Krishnamoorthy, Louis-Nol Pouchet, Fabrice Rastello, P Sadayappan. "Static and dynamic frequency scaling on multicore CPUs.". (12. 2016).. Compiler Support for Software Cache Coherence. "Sanket Tavarageri, Wooil Kim, Josep Torrellas, P Sadayappan.". (12. 2016).. Bao, W.; Krishnamoorthy, S.; Pouchet, L.N.; Rastello, F. et al.. "PolyCheck: Dynamic verification of iteration space transformations on affine programs.". (4. 2016).. Rajbhandari, S.; Kim, J.; Krishnamoorthy, S.; Poucheti, L-N. et al.. "On Fusing Recursive Traversals of K-d Trees.". in 25th International Conference on Compiler Construction (CC).. (1. 2016).. Bao, W.; Hong, C.; Chunduri, S.; Krishnamoorthy, S. et al.. "Static and Dynamic Frequency Scaling on Multicore CPUs.". (12. 2016).. Bao, W.; Krishnamoorthy, S.; Pouchet, L.N.; Rastello, F. et al.. "PolyCheck: Dynamic verification of iteration space transformations on affine programs.". (1. 2016).. Hong, C.; Bao, W.; Cohen, A.; Krishnamoorthy, S. et al.. "Effective Padding of Multidimensional Arrays to Avoid Cache Conflict Misses.". (6. 2016).. Bao, W.; Krishnamoorthy, S.; Pouchet, L-N.; Sadayappan, P.. "PolyCheck: Dynamic Verification of Iteration Space Transformations on Affine Programs.". in 43rd Annual ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages (POPL).. (1. 2016).. Samyam Rajbhandari, Jinsung Kim, Sriram Krishnamoorthy, Louis-Nol Pouchet, Fabrice Rastello, Robert J. Harrison, P. Sadayappan. "On fusing recursive traversals of K-d trees.". (3. 2016).. Domagala, L.; Van Amstel, D.; Rastello, F.; Sadayappan, P.. "Register allocation and promotion through combined instruction scheduling and loop unrolling.". (3. 2016).. Kim, W.; Tavarageri, S.; Sadayappan, P.; Torrellas, J.. "Architecting and Programming a Hardware-Incoherent Multiprocessor Cache Hierarchy.". (7. 2016).. Lukasz Domagala, Duco van Amstel, Fabrice Rastello, P. Sadayappan. "Register allocation and promotion through combined instruction scheduling and loop unrolling.". (3. 2016).. Kettimuthu, R.; Agrawal, G.; Sadayappan, P.; Foster, I. et al.. "Differentiated Scheduling of Response-Critical and Best-Effort Wide-Area Data Transfers.". (1. 2016).. Hong, C.; Bao, W.; Cohen, A.; Krishnamoorthy, S. et al.. "Effective padding of multidimensional arrays to avoid cache conflict misses.". (6. 2016).. Kettimuthu, R.; Agrawal, G.; Sadayappan, P.; Foster, I.. "Differentiated Scheduling of Response-Critical and Best-Effort Wide-Area Data Transfers.". (7. 2016).. Wenlei Bao, Sriram Krishnamoorthy, Louis-Nol Pouchet, Fabrice Rastello, P. Sadayappan. "PolyCheck: dynamic verification of iteration space transformations on affine programs.". (1. 2016).. Rawat, P.S.; Hong, C.; Ravishankar, M.; Grover, V. et al.. "Resource Conscious Reuse-Driven Tiling for GPUs.". (9. 2016).. Samyam Rajbhandari, Jinsung Kim, Sriram Krishnamoorthy, Louis-Noel Pouchet, Fabrice Rastello, Robert J Harrison, P Sadayappan. "A domain-specific compiler for a parallel multiresolution adaptive numerical simulation environment.". (11. 2016).. Bao, W.; Hong, C.; Chunduri, S.; Krishnamoorthy, S. et al.. "Static and dynamic frequency scaling on multicore CPUs.". (12. 2016).. Rajbhandari, S.; Kim, J.; Krishnamoorthy, S.; Pouchet, L.N. et al.. "On fusing recursive traversals of K-d trees.". (3. 2016).. Rawat, P.S.; Hong, C.; Ravishankar, M.; Grover, V. et al.. "Effective resource management for enhancing performance of 2D and 3D stencils on GPUs.". (3. 2016).. Tavarageri, S.; Kim, W.; Torrellas, J.; Sadayappan, P. et al.. "Compiler Support for Software Cache Coherence.". (1. 2016).. Rawat, P.S.; Hong, C.; Ravishankar, M.; Grover, V. et al.. "Effective Resource Management for Enhancing Performance of 2D and 3D Stencils on GPUs.". (1. 2016).. Kong, M.; Pouchet, L-N.; Sadayappan, P.; Sarkar, V. et al.. "PIPES: A Language and Compiler for Task-based Programming on Distributed-Memory Clusters.". (1. 2016).. Rajbhandari, S.; Kim, J.; Krishnamoorthy, S.; Pouchet, L-N. et al.. "A Domain-Specific Compiler for a Parallel Multiresolution Adaptive Numerical Simulation Environment.". (1. 2016).. Rajbhandari, S.; Kim, J.; Krishnamoorthy, S.; Pouchet, L-N. et al.. "A Domain-Specific Compiler for a Parallel Multiresolution Adaptive Numerical Simulation Environment.". in International Conference on High Performance Computing, Networking, Storage and Analysis (SC).. (1. 2016).. Kong, M.; Pouchet, L-N.; Sadayappan, P.; Sarkar, V.. "PIPES: A Language and Compiler for Task-based Programming on Distributed-Memory Clusters.". in International Conference on High Performance Computing, Networking, Storage and Analysis (SC).. (1. 2016).. Prashant Singh Rawat, Changwan Hong, Mahesh Ravishankar, Vinod Grover, Louis-Nol Pouchet, Atanas Rountev, P Sadayappan. "Resource conscious reuse-driven tiling for GPUs.". (9. 2016).. Carpenter, ; Rastello, F.; Sadayappan, P.; Sidiropoulos, A.. Approximating the I/O complexity of one-shot red-blue pebbling (brief announcement).. in ACM Symposium on Parallelism in Algorithms and Architectures.. http://doi.acm.org/10.1145/2935764.2935807,. (7. 2016).. Timothy Carpenter, Fabrice Rastello, P Sadayappan, Anastasios Sidiropoulos. "Brief Announcement: Approximating the I/O Complexity of One-Shot Red-Blue Pebbling.". (7. 2016).. Kim, W.; Tavarageri, S.; Sadayappan, P.; Torrellas, J. et al.. "Architecting and Programming a Hardware-Incoherent Multiprocessor Cache Hierarchy.". (1. 2016).. Rawat, P.S.; Hong, C.; Ravishankar, M.; Grover, V. et al.. "Resource Conscious Reuse-Driven Tiling for GPUs.". (1. 2016).. Domagala, L.; van Amstel, D.; Rastello, F.; Sadayappan, P. et al.. 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"Broadcast/multicast over Myrinet using NIC-assisted multidestination messages.". (1. 2000).. Buntinas, D.; Panda, D.K.; Duato, J.; Sadayappan, P.. "Broadcast / multicast over myrinet using NIC-assisted multidestination messages.". (1. 2000).. 1999. Banikazemi, M.; Sampathkumar, J.; Prabhu, S.; Panda, D.K. et al.. "Communication modeling of heterogeneous networks of workstations for performance characterization of collective operations.". (1. 1999).. M. Jacunski, V. Moorthy, P. Ware, M. Pillai, D. K. Panda, and P. Sadayappan. "Low Latency Message-Passing for Reflective Memory Networks.". in International Workshop on Communication, Architecture, and Applications for Network-Based Parallel Computing (CANPC 99).. (1. 1999).. Moorthy, V.; Jacunski, M.G.; Pillai, M.; Ware, P.P. et al.. "Low-latency message passing on workstation clusters using SCRAMNet.". (1. 1999).. Jacunski, M.; Moorthy, V.; Ware, P.P.; Pillai, M. et al.. "Low latency message-passing for reflective memory networks.". (1. 1999).. Moorthy, V.; Jacunski, M.G.; Pillai, M.; Ware, P.P. et al.. "Low-latency message passing on workstation clusters using SCRAMNet.". (1. 1999).. Banikazemi, M.; Sampathkumar, J.; Prabhu, S.; Panda, D.K. et al.. "Communication modeling of heterogeneous networks of workstations for performance characterization of collective operations.". in 8th Heterogeneous Computing Workshop (HCW 99).. (1. 1999).. Moorthy, V.; Jacunski, M.G.; Pillai, M.; Ware, P.P. et al.. "Low-latency message passing on workstation clusters using SCRAMNet.". in 13th Parallel Processing Symposium / 10th Symposium on Parallel and Distributed Processing (IPPS/SPDP 1999).. (1. 1999).. Banikazemi, M.; Sampathkumar, J.; Prabhu, S.; Panda, D.K. et al.. "Communication modeling of heterogeneous networks of workstations for performance characterization of collective operations.". (1. 1999).. M. Banikazemi, S. Prabhu, J. Sampathkumar, D. K. Panda, and P. Sadayappan. "Communication Modeling of Heterogeneous Networks of Workstations for Performance Characterization of Collective Operations.". in International Workshop on Heterogeneous Computing (HCW99) in conjunction with IPPS99.. (4. 1999).. 1997. White, J.B.; Sadayappan, P.. "On improving the performance of sparse matrix-vector multiplication.". (12. 1997).. White, J.B.; Sadayappan, P.. "On improving the performance of sparse matrix-vector multiplication.". in 4th International Conference on High-Performance Computing (HiPC 97).. (1. 1997).. Lam, C.C.; Sadayappan, P.; Wenger, R.. "Optimal reordering and mapping of a class of nested-loops for parallel execution.". (1. 1997).. White, J.B.; Sadayappan, P.; SOC, I.C.. "On improving the performance of sparse matrix-vector multiplication.". (1. 1997).. 1996. Kaushik, S.D.; Huang, C.H.; Sadayappan, P.. "Compiling array statements for efficient execution on distributed-memory machines: Two-level mappings.". (1. 1996).. 1995. Eswar, K.; Huang, C.H.; Sadayappan, P.. "On mapping data and computation for parallel sparse Cholesky factorization.". (1. 1995).. Krothapalli, V.P.; Sadayappan, P.. "On reducing synchronization costs in nested DOACROSS loops.". (1. 1995).. Kaushik, S.D.; Huang, C.H.; Sadayappan, P.. "Incremental generation of index sets for array statement execution on distributed-memory machines.". (1. 1995).. Kaushik, S.D.; Huang, C.H.; Ramanujam, J.; Sadayappan, P.. "Multi-phase array redistribution: modeling and evaluation.". (1. 1995).. 1994. DAI, D.L.; GUPTA, S.K.S.; KAUSHIK, S.D.; LU, J.H. et al.. "EXTENT - A PORTABLE PROGRAMMING ENVIRONMENT FOR DESIGNING AND IMPLEMENTING HIGH-PERFORMANCE BLOCK RECURSIVE ALGORITHMS.". (1. 1994).. Eswar, K.; Huang, C.H.; Sadayappan, P.. "Memory-adaptive parallel sparse Cholesky factorization.". (12. 1994).. SUNDAR, N.S.; JAYASIMHA, D.N.; PANDA, D.K.; SADAYAPPAN, P. et al.. "COMPLETE EXCHANGE IN 2D MESHES.". (1. 1994).. Gupat, S.K.S.; Huang, C.H.; Johnson, R.W.; Sadayappan, P.. "Communication-efficient implementation of block recursive algorithms on distributed-memory machines.". (12. 1994).. KUMAR, B.; ESWAR, K.; SADAYAPPAN, P.; HUANG, C.H. et al.. "A REORDERING AND MAPPING ALGORITHM FOR PARALLEL SPARSE CHOLESKY FACTORIZATION.". (1. 1994).. CHOIGROGAN, Y.S.; LEE, R.; ESWAR, K.; SADAYAPPAN, P.. "The performance of a partitioning finite element method on the touchstone delta.". (1. 1994).. KROTHAPALLI, V.P.; SADAYAPPAN, P.. "ON REDUCING SYNCHRONIZATION COSTS IN NESTED DOACROSS LOOPS.". (1. 1994).. ESWAR, K.; HUANG, C.H.; SADAYAPPAN, P.; SOC, I.C.. "MEMORY-ADAPTIVE PARALLEL SPARSE CHOLESKY FACTORIZATION.". (1. 1994).. N. S. Sundar, D. N. Jayasimha, D. K. Panda and P. Sadayappan. "Complete Exchange in 2D Meshes.". in Proc. of the Scalable High Performance Computing Conference.. (5. 1994).. SUNDAR, N.S.; JAYASIMHA, D.N.; PANDA, D.K.; SADAYAPPAN, P.. "COMPLETE EXCHANGE IN 2D MESHES.". in 1994 Scalable High Performance Computing Conference (SHPCC 94).. (1. 1994).. Kumar, B.; Eswar, K.; Sadayappan, P.; Huang, C.H.. "Reordering and mapping algorithm for parallel sparse Cholesky factorization.". (12. 1994).. Kumar, B.; Sadayappan, P.; Huang, C.H.. "On sparse matrix reordering for parallel factorization.". (7. 1994).. Sundar, N.S.; Jayasimha, D.N.; Panda, D.K.; Sadayappan, P.. "Complete exchange in 2D meshes.". (12. 1994).. Dai, D.L.; Gupta, S.K.S.; Kaushik, S.D.; Lu, J.H. et al.. "EXTENT: a portable programming environment for designing and implementing high-performance block recursive algorithms.". (12. 1994).. ESWAR, K.; HUANG, C.H.; SADAYAPPAN, P.. "MEMORY-ADAPTIVE PARALLEL SPARSE CHOLESKY FACTORIZATION.". in 1994 Scalable High Performance Computing Conference (SHPCC 94).. (1. 1994).. KUMAR, B.; ESWAR, K.; SADAYAPPAN, P.; HUANG, C.H.. "A REORDERING AND MAPPING ALGORITHM FOR PARALLEL SPARSE CHOLESKY FACTORIZATION.". in 1994 Scalable High Performance Computing Conference (SHPCC 94).. (1. 1994).. DAI, D.L.; GUPTA, S.K.S.; KAUSHIK, S.D.; LU, J.H. et al.. "EXTENT - A PORTABLE PROGRAMMING ENVIRONMENT FOR DESIGNING AND IMPLEMENTING HIGH-PERFORMANCE BLOCK RECURSIVE ALGORITHMS.". in Supercomputing 94.. (1. 1994).. Kaushik, S.D.; Huang, C.H.; Johnson, R.W.; Sadayappan, P.. "An approach to communication-efficient data redistribution.". (7. 1994).. CHOIGROGAN, Y.S.; LEE, R.; ESWAR, K.; SADAYAPPAN, P.. "The performance of a partitioning finite element method on the touchstone delta.". in 10th Annual Review of Progress in Applied Computational Electromagnetics Conference.. (1. 1994).. KROTHAPALLI, V.P.; SADAYAPPAN, P.. "ON REDUCING SYNCHRONIZATION COSTS IN NESTED DOACROSS LOOPS.". in 1994 Annual International Conference of the IEEE Region-10 - Frontiers of Computer Technology.. (1. 1994).. Amin, A.; Sadayappan, P.; Gudavalli, M.. "Clustered reduced communication element by element preconditioned conjugate gradient algorithm for finite element computations.". (1. 1994).. Gupta, H.; Sadayappan, P.. "Communication efficient matrix multiplication on hypercubes.". (8. 1994).. 1993. GUPTA, S.K.S.; KAUSHIK, S.D.; MUFTI, S.; SHARMA, S. et al.. "ON COMPILING ARRAY EXPRESSIONS FOR EFFICIENT EXECUTION ON DISTRIBUTED-MEMORY MACHINES.". in 1993 International Conference on Parallel Processing.. (1. 1993).. Gupta, S.; Huang, C.H.; Sadayappan, P.; Johnson, R.. "On the synthesis of parallel programs from tensor product formulas for block recursive algorithms.". (1. 1993).. GHOSH, D.; NANDY, S.K.; SADAYAPPAN, P.; PARTHASARATHY, K.. "ARCHITECTURAL SYNTHESIS OF PERFORMANCE-DRIVEN MULTIPLIERS WITH ACCUMULATOR INTERLEAVING.". in 30TH DESIGN AUTOMATION CONF.. (1. 1993).. KAUSHIK, S.D.; HUANG, C.H.; JOHNSON, J.R.; JOHNSON, R.W. et al.. "EFFICIENT TRANSPOSITION ALGORITHMS FOR LARGE MATRICES.". (1. 1993).. SHARMA, S.; HUANG, C.H.; SADAYAPPAN, P.. "ON DATA DEPENDENCE ANALYSIS FOR COMPILING PROGRAMS ON DISTRIBUTED-MEMORY MACHINES.". in 2ND WORKSHOP ON LANGUAGES, COMPILERS, AND RUN-TIME ENVIRONMENTS FOR DISTRIBUTED MEMORY MULTIPROCESSORS.. (1. 1993).. Gupta, S.K.S.; Kaushik, S.D.; Huang, C.H.; Johnson, J.R. et al.. "On the Automatic Generation of Data Distributions.". (1. 1993).. Ghosh, D.; Nandy, S.K.; Sadayappan, P.; Parthasarathy, K.. "Architectural synthesis of performance-driven multipliers with accumulator interleaving.". (1. 1993).. ESWAR, K.; SADAYAPPAN, P.; HUANG, C.H.; VISVANATHAN, V.. "SUPERNODAL SPARSE CHOLESKY FACTORIZATION ON DISTRIBUTED-MEMORY MULTIPROCESSORS.". in 1993 International Conference on Parallel Processing.. (1. 1993).. ESWAR, K.; SADAYAPPAN, P.; HUANG, C.H.. "COMPILE-TIME CHARACTERIZATION OF RECURRENT PATTERNS IN IRREGULAR COMPUTATIONS.". in 1993 International Conference on Parallel Processing.. (1. 1993).. KAUSHIK, S.D.; HUANG, C.H.; JOHNSON, J.R.; JOHNSON, R.W. et al.. "EFFICIENT TRANSPOSITION ALGORITHMS FOR LARGE MATRICES.". in Supercomputing 93 Conference.. (1. 1993).. GUPTA, S.K.S.; KAUSHIK, S.D.; HUANG, C.H.; JOHNSON, J.R. et al.. "ON THE AUTOMATIC-GENERATION OF DATA DISTRIBUTIONS.". in 2ND WORKSHOP ON LANGUAGES, COMPILERS, AND RUN-TIME ENVIRONMENTS FOR DISTRIBUTED MEMORY MULTIPROCESSORS.. (1. 1993).. Kaushik, S.D.; Huang, C.H.; Johnson, J.R.; Johnson, R.W. et al.. "Efficient transposition algorithms for large matrices.". (12. 1993).. NANDY, S.K.; NARAYAN, R.; VISVANATHAN, V.; SADAYAPPAN, P. et al.. "A PARALLEL PROGRESSIVE REFINEMENT IMAGE RENDERING ALGORITHM ON A SCALABLE MULTITHREADED VLSI PROCESSOR ARRAY.". in 1993 International Conference on Parallel Processing.. (1. 1993).. NANDY, S.K.; NARAYAN, R.; VISVANATHAN, V.; SADAYAPPAN, P. et al.. "A PARALLEL PROGRESSIVE REFINEMENT IMAGE RENDERING ALGORITHM ON A SCALABLE MULTITHREADED VLSI PROCESSOR ARRAY.". (1. 1993).. GUPTA, S.K.S.; KAUSHIK, S.D.; HUANG, C.H.; JOHNSON, J.R. et al.. "ON THE AUTOMATIC-GENERATION OF DATA DISTRIBUTIONS.". (1. 1993).. ESWAR, K.; SADAYAPPAN, P.; HUANG, C.H.; VISVANATHAN, V.. "SUPERNODAL SPARSE CHOLESKY FACTORIZATION ON DISTRIBUTED-MEMORY MULTIPROCESSORS.". (1. 1993).. GHOSH, D.; NANDY, S.K.; SADAYAPPAN, P.; PARTHASARATHY, K. et al.. "ARCHITECTURAL SYNTHESIS OF PERFORMANCE-DRIVEN MULTIPLIERS WITH ACCUMULATOR INTERLEAVING.". (1. 1993).. ESWAR, K.; SADAYAPPAN, P.; HUANG, C.H.. "COMPILE-TIME CHARACTERIZATION OF RECURRENT PATTERNS IN IRREGULAR COMPUTATIONS.". (1. 1993).. GUPTA, S.K.S.; KAUSHIK, S.D.; MUFTI, S.; SHARMA, S. et al.. "ON COMPILING ARRAY EXPRESSIONS FOR EFFICIENT EXECUTION ON DISTRIBUTED-MEMORY MACHINES.". (1. 1993).. SHARMA, S.; HUANG, C.H.; SADAYAPPAN, P.. "ON DATA DEPENDENCE ANALYSIS FOR COMPILING PROGRAMS ON DISTRIBUTED-MEMORY MACHINES.". (1. 1993).. 1992. MCMILLAN, S.; SADAYAPPAN, P.; ORIN, D.E.. "EFFICIENT DYNAMIC SIMULATION OF MULTIPLE MANIPULATOR SYSTEMS WITH SINGULARITIES.". in 1992 IEEE INTERNATIONAL CONF ON ROBOTICS AND AUTOMATION.. (1. 1992).. MCMILLAN, S.; SADAYAPPAN, P.; ORIN, D.E.; IEEE,. "EFFICIENT DYNAMIC SIMULATION OF MULTIPLE MANIPULATOR SYSTEMS WITH SINGULARITIES.". (1. 1992).. McMillan, S.; Sadayappan, P.; Orin, D.E.. "Efficient dynamic simulation of multiple manipulator systems with singularities.". (4. 1992).. Amin, A.; Sadayappan, P.; Chaudhary, A.. "Parallel ALPID-3D. A 3-D metal forming program for parallel computers.". (6. 1992).. Amin, A.; Sadayappan, P.; Chaudhary, A.. "Parallel ALPID-3D: A 3-D metal forming program for parallel computers.". (12. 1992).. 1991. Krothapalli, V.P.; Sadayappan, P.. "Removal of Redundant Dependences in DOACROSS Loops with Constant Dependences.". (1. 1991).. KROTHAPALLI, V.P.; SADAYAPPAN, P.. "REMOVAL OF REDUNDANT DEPENDENCES IN DOACROSS LOOPS WITH CONSTANT DEPENDENCES.". in SYMP ON PRINCIPLES AND PRACTICES PARALLEL PROGRAMMING.. (7. 1991).. RAMANUJAM, J.; SADAYAPPAN, P.. "TILING MULTIDIMENSIONAL ITERATION SPACES FOR NONSHARED MEMORY MACHINES.". in 4TH ANNUAL CONF ON HIGH PERFORMANCE COMPUTING ( SUPERCOMPUTING 91 ).. (1. 1991).. RAMANUJAM, J.; SADAYAPPAN, P.; MACHINERY, A.C.. "TILING MULTIDIMENSIONAL ITERATION SPACES FOR NONSHARED MEMORY MACHINES.". (1. 1991).. WHITMAN, S.; SADAYAPPAN, P.. "COMPUTER-GRAPHICS RENDERING ON A SHARED MEMORY MULTIPROCESSOR.". in INTERNATIONAL CONF ON PARALLEL PROCESSING.. (1. 1991).. McMillan, S.; Orin, D.E.; Sadayappan, P.. "Real-time robot dynamic simulation on a vector/parallel supercomputer.". (1. 1991).. MCMILLAN, S.; ORIN, D.E.; SADAYAPPAN, P.. "REAL-TIME ROBOT DYNAMIC SIMULATION ON A VECTOR PARALLEL SUPERCOMPUTER.". in 1991 INTERNATIONAL CONF ON ROBOTICS AND AUTOMATION.. (1. 1991).. ESWAR, K.; SADAYAPPAN, P.; VISVANATHAN, V.. "MULTIFRONTAL FACTORIZATION OF SPARSE MATRICES ON SHARED-MEMORY MULTIPROCESSORS.". in INTERNATIONAL CONF ON PARALLEL PROCESSING.. (1. 1991).. Ramanujan, J.; Sadayappan, P.. "Tiling multidimensional iteration spaces for nonshared memory machines.". (12. 1991).. McMillan, S.; Orin, D.E.; Sadayappan, P.. "Parallel real-time dynamic simulation of robots.". (1. 1991).. WHITMAN, S.; SADAYAPPAN, P.. "COMPUTER-GRAPHICS RENDERING ON A SHARED MEMORY MULTIPROCESSOR.". (1. 1991).. KROTHAPALLI, V.P.; SADAYAPPAN, P.. "REMOVAL OF REDUNDANT DEPENDENCES IN DOACROSS LOOPS WITH CONSTANT DEPENDENCES.". (7. 1991).. ESWAR, K.; SADAYAPPAN, P.; VISVANATHAN, V.. "MULTIFRONTAL FACTORIZATION OF SPARSE MATRICES ON SHARED-MEMORY MULTIPROCESSORS.". (1. 1991).. MCMILLAN, S.; ORIN, D.E.; SADAYAPPAN, P.; IEEE,. "REAL-TIME ROBOT DYNAMIC SIMULATION ON A VECTOR PARALLEL SUPERCOMPUTER.". (1. 1991).. 1990. Krothapalli, V.P.; Sadayappan, P.. "Exploiting parallelism through run-time analysis on a vector processor.". (1. 1990).. Krothapalli, V.P.; Sadayappan, P.. "Dynamic scheduling of DOACROSS loops for multiprocessors.". (1. 1990).. 1989. SADAYAPPAN, P.; RAO, S.K.; MACH, A.C.. "COMMUNICATION REDUCTION FOR DISTRIBUTED SPARSE-MATRIX FACTORIZATION ON A PROCESSOR MESH.". (1. 1989).. Sadayappan, P.; Rao, S.K.. "Communication reduction for distributed sparse matrix factorization on a processor mesh.". (12. 1989).. ZAKY, A.; SADAYAPPAN, P.. "OPTIMAL STATIC SCHEDULING OF SEQUENTIAL LOOPS ON MULTIPROCESSORS.". in 1989 INTERNATIONAL CONF ON PARALLEL PROCESSING.. (1. 1989).. ZAKY, A.; SADAYAPPAN, P.. "OPTIMAL STATIC SCHEDULING OF SEQUENTIAL LOOPS ON MULTIPROCESSORS.". (1. 1989).. Zaky, A.; Sadayappan, P.. "Optimal static scheduling of sequential loops on multiprocessors.". (12. 1989).. RAMANUJAM, J.; SADAYAPPAN, P.. "A METHODOLOGY FOR PARALLELIZING PROGRAMS FOR MULTICOMPUTERS AND COMPLEX MEMORY MULTIPROCESSORS.". in CONF ON SUPERCOMPUTING ( SUPERCOMPUTING 89 ).. (1. 1989).. RAMANUJAM, J.; SADAYAPPAN, P.; MACH, A.C.. "A METHODOLOGY FOR PARALLELIZING PROGRAMS FOR MULTICOMPUTERS AND COMPLEX MEMORY MULTIPROCESSORS.". (1. 1989).. SADAYAPPAN, P.; RAO, S.K.. "COMMUNICATION REDUCTION FOR DISTRIBUTED SPARSE-MATRIX FACTORIZATION ON A PROCESSOR MESH.". in CONF ON SUPERCOMPUTING ( SUPERCOMPUTING 89 ).. (1. 1989).. Ramanujam, J.; Sadayappan, P.. "Methodology for parallelizing programs for multicomputers and complex memory multiprocessors.". (12. 1989).. 1988. Ercal, F.; Ramanujam, J.; Sadayappan, P.. "Task allocation onto a hypercube by recursive mincut bipartitioning.". (1. 1988).. Ramanujam, J.; Sadayappan, P.. "Optimization by neural networks.". (12. 1988).. Sadayappan, P.; Visvanathan, V.. "Comparative analysis of approaches to hardware acceleration for sparse-matrix factorization.". (12. 1988).. Goel, A.; Sadayappan, P.; Josephson, J.R.. "Concurrent synthesis of composite explanatory hypotheses.". (12. 1988).. Ling, Y.L.C.; Sadayappan, P.; Olson, K.W.; Orlin, D.E.. "VLSI ROBOTICS VECTOR PROCESSOR FOR REAL-TIME CONTROL..". (1. 1988).. Sadayappan, P.; Visvanathan, V.. "Parallelization and performance evaluation of circuit simulation on a shared-memory multiprocessor.". (6. 1988).. Goel, A.; Ramanujam, J.; Sadayappan, P.. "Towards a 'neural' architecture for abductive reasoning.". (12. 1988).. Sadayappan, P.; Visvanathan, V.. "Modeling and optimal scheduling of parallel sparse Gaussian elimination.". (12. 1988).. Krothapalli, V.P.; Sadayappan, P.. "An approach to synchronization for parallel computing.". (6. 1988).. 1987. Sadayappan, P.; Ercal, F.; Martin, S.. "MAPPING FINITE ELEMENT GRAPHS ONTO PROCESSOR MESHES..". (12. 1987).. Sadayappan, P.; Visvanathan, V.. "CIRCUIT SIMULATION ON A MULTIPROCESSOR..". (1. 1987).. Ling, Y.L.C.; Olson, K.W.; Orin, D.E.; Sadayappan, P.. "LAYERED RESTRUCTURABLE VLSI ARCHITECTURE FOR ROBOTIC CONTROL..". (12. 1987).. 1986. Ercal, F.; Sadayappan, P.; Schwan, K.; Weide, B. et al.. "PARALLEL COMPUTERS FOR FINITE ELEMENT ANALYSIS..". (1. 1986).. 1985. Ashok, V.; Costello, R.; Sadayappan, P.. "DISTRIBUTED DISCRETE EVENT SIMULATION USING DATAFLOW..". (12. 1985).. Ashok, V.; Costello, V.A.; Sadayappan, P.. "MODELING SWITCH-LEVEL SIMULATION USING DATA FLOW..". (12. 1985).. 1984. Sadayappan, P.; Smith, D.R.. "TASK DISTRIBUTION ON A HIERARCHICAL MULTICOMPUTER..". (12. 1984).. Unknown. Tobias Grosser, Sebastian PoP, Louis-Noel Pouchet, J. Ramanujam and P. Sadayappan. "Optimistic Delinearization of Parametrically Sized Arrays.". in ACM SIGARCH 29th International Conference on Supercomputing (ICS15).. Martin Kong, Louis-Noel Pouchet, and P. Sadayappan. "A Roofline-based Performance Estimator for Distributed Matrix-multiply on Intel CnC.". in International Workshop on Automatic Performance Tuning (IWAPT2015), in conjunction with IPDPS 2015.. Department ofComputer Science and Engineering395 Dreese Laboratories2015 Neil AvenueColumbus, OH 43210-1277(614) 292-5813 Phone(614) 292-2911 Fax. Support CSE. Invest in a Buckeye. Your gift will make a difference.. Connect. facebookyoutube. 2019 The Ohio State UniversityAccessibilityPrivacy PolicyHelpLogin. diff --git a/src/data/compiled_bios/4071.txt b/src/data/compiled_bios/4071.txt new file mode 100644 index 0000000000..65ff38c516 --- /dev/null +++ b/src/data/compiled_bios/4071.txt @@ -0,0 +1 @@ +Han-Wei Shen. Professor, Computer Science & Engineering. 789 Dreese Laboratories. 2015 Neil Ave. Columbus,. OH. 43210. 614-292-0060. shen.94@osu.edu. http://web.cse.ohio-state.edu/~hwshen. Honors. April, 2014. Joel and Ruth Spiral Teaching Award.. January, 2011. College of Engineering Lumley Research Award.. January, 2009. Department Outstanding Teaching Award.. January, 2007. Best Poster Award.. Culinary Institute of America.. January, 2003-January, 2006. DOE Early Career Principal Investigator (ECPI) Award.. January, 2004. NSF CAREER Award.. January, 2004. College of Engineering Lumley Research Award.. January, 2002. Department Outstanding Teaching Award.. January, 2002. Ameritech Faculty Fellow.. Edited Books2010. 2010.. "Proceedings of IEEE Pacific Visualization 2010 symposium.". IEEE.. 2009. 2009.. "Proceedings of 2009 IEEE Pacific Visualization Symposium.". IEEE.. 2004. 2004.. "Proceedings of 2004 Eurographics/ACM SIGGRAPH Parallel Graphics and Visualization.". Eurographics/ACM SIGGRAPH.. 1999. 1999.. "Proceedings of 1999 IEEE Parallel Visualization and Graphics Symposium.". IEEE.. Chapters2004. 2004.. "Time-Varying Isosurface Extraction.". In Visualization Handbook,. edited by Christopher Johnson and Chuck Hansen,. Journal Articles2017. Biswas, A.; Lin, G.; Liu, X.; Shen, H-W.,. 2017,. "Visualization of Time-Varying Weather Ensembles across Multiple Resolutions.". IEEE Transactions on Visualization and Computer Graphics. 23,. no. 1,. 841-850 -. 841-850.. Dutta, S.; Chen, C-M.; Heinlein, G.; Shen, H-W. et al.,. 2017,. "In Situ Distribution Guided Analysis and Visualization of Transonic Jet Engine Simulations.". IEEE Transactions on Visualization and Computer Graphics. 23,. no. 1,. 811-820 -. 811-820.. Wang, J.; Liu, X.; Shen, H-W.; Lin, G.,. 2017,. "Multi-Resolution Climate Ensemble Parameter Analysis with Nested Parallel Coordinates Plots.". IEEE Transactions on Visualization and Computer Graphics. 23,. no. 1,. 81-90 -. 81-90.. 2016. Chen, Chun-Ming, Dutta, Soumya, liu, Xiaotong, Heinlein, Gregory, Shen, Han-Wei and Chen, Jen-Ping,. 2016,. "Visualization and Analysis of Rotating Stall for Transonic Jet Engine Simulation.". IEEE Transactions on Visualization and Computer Graphics. 22,. no. 1,. 847-856 -. 847-856.. Hanqi Guo, Wenbin He, Tom Peterka, Han-Wei Shen, Scott M. Collis, and Jonathan J. Helmus,. 2016,. "Finite-Time Lyapunov Exponents and Lagrangian Coherent Structures in Uncertain Unsteady Flows.". IEEE Transactions on Visualization and Computer Graphics. 22,. no. 6,. 1672-1682 -. 1672-1682.. Liu,Xiaotong; Shen,Han-Wei,. 2016,. "Association Analysis for Visual Exploration of Multivariate Scientific Data Sets.". IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS. 22,. no. 1,. 955-964 -. 955-964.. Dutta, Soumya and Shen, Han-Wei,. 2016,. "istribution Driven Extraction and Tracking of Features for Time-varying Data Analysis.". IEEE Transactions on Vsualization and Computer Graphics. 22,. no. 1,. 837-836 -. 837-836.. 2015. Tong Xin John Edwards, Chun-Ming Chen, Han-Wei Shen, Chris R. Johnson, and Pak Chung Wong,. 2015,. "View-Dependent Streamline Deformation and Exploration.". IEEE Transactions on Visualization and Computer Graphics. PP,. no. 99,. 1 -. 1.. 2014. Abon Chaudhuri, Teng-Yok Lee, Han-Wei Shen,Rephael Wenger,. 2014,. "Exploring FLow Fields Using Space-Filling Analysis of Streamlnies.". IEEE Transactions on Visualization and Computer Graphics. 20,. . -. ... Zhang,L; Deng,Q; Machiraju,R; Rangarajan,A; Thompson,D; Walters,D,K; Shen,H-W,. 2014,. "Boosting Techniques for Physics-Based Vortex Detection.". COMPUTER GRAPHICS FORUM. 33,. no. 1,. 282-293 -. 282-293.. Xiaotong Liu, Han-Wei Shen, Yifan Hu,. 2014,. "Supporting multifaceted viewing of word clouds with focus+context display.". Information Visualization. 13,. no. 3,. . -. ... 2013. BISWAS, A., DUTTA, S., SHEN, H.-W., AND WOODRING, J,. 2013,. "An information-aware framework for exploring multivariate data sets.". IEEE Transactions on Visualization and Computer Graphics. 19,. no. 12,. 2683-2692 -. 2683-2692.. Kerwin, T, Stredney, D, Wiet, G, Shen, Han-Wei,. 2013,. "Virtual mastoidectomy performance evaluation through multi-volume analysis.". Int. J. Computer Assisted Radiology and Surgery. 8,. no. 1,. 51-61 -. 51-61.. LEE, T.-Y., AND SHEN, H.-W.,. 2013,. "Efficient local statistical analysis via integral histograms with discrete wavelet transform.". IEEE Transactions on Visualization and Computer Graphics. 19,. no. 12,. 2693-2702 -. 2693-2702.. 2012. Wong, P, Shen, Han-Wei, Johnson, C.R., Chen, C, Ross, R,. 2012,. "The Top 10 Challenges in Extreme-Scale Visual Analytics.". IEEE Computer Graphics and Applications. 32,. no. 4,. 63-67 -. 63-67.. Wong, P, Shen, Han-Wei, Pascucci, V.,. 2012,. "Extreme-Scale Visual Analytics.". IEEE Computer Graphics and Applications. 32,. no. 4,. 23-35 -. 23-35.. 2011. Boonthanome Nouanesengsey, Teng-Yok Lee, Han-Wei Shen,. 2011,. "Load Balanced Parallel Streamline Generation on Large Scale Vector Field.". IEEE Transactions on Visualization and Computer Graphics. 17,. no. 6,. 1785-1974 -. 1785-1974.. Hsieh,Hsien-Hsi; Chang,Chin-Chen; Tai,Wen-Kai; Shen,Han-Wei,. 2011,. "Novel Geometrical Voxelization Approach with Application to Streamline.". Journal of Computer Science and Technology. 5,. no. 25,. 895-904 -. 895-904.. Wang,Chaoli; Shen,Han-Wei,. 2011,. "Information Theory in Scientific Visualization.". Entropy. 1,. no. 13,. 254-273 -. 254-273.. Kun-Chuan Feng, Chaoli Wang, Han-Wei Shen, Tong-Yee Lee,. 2011,. "Coherent Time-Varying Graph Drawing with Multi-Focus+Context Interaction.". IEEE Transactions on Visualization and Computer Graphics. 2010. Ahrens,James; Shen,Han-Wei,. 2010,. "Ultrascale Visualization.". IEEE COMPUTER GRAPHICS AND APPLICATIONS. 30,. no. 3,. 20-21 -. 20-21.. Lijie Xu,Teng-Yok Lee and Han-Wei Shen,. 2010,. "An information Theoretic Framework for Flow Visualization.". IEEE Transactions on Visualization and Computer Graphics. 6,. no. 16,. 1216-1224 -. 1216-1224.. 2009. Jonathan Woodring and Han-Wei Shen,. 2009,. Multi-scale Time Activity Data Exploration via Temporal Clustering Visualization Spreadsheet.. IEEE Transactions on Visualization and Computer Graphics. 15,. no. 1,. 123-137 -. 123-137.. Jonathan Woodring and Han-Wei Shen,. 2009,. Semi-Automatic Time-Series Transfer Functions via Temporal Clustering and Sequencing.. Computer Graphics Forum. 28,. no. 3,. 791-798 -. 791-798.. Thomas Kerwin, Han-Wei Shen and Don Stredney,. 2009,. Enhancing Realism of Wet Surfaces in Temporal Bone Surgical Simulation,.. IEEE Transactions on Visualization and Computer Graphics. 15,. no. 5,. 747-759 -. 747-759.. Firdaus Janoos, Boonth Nouanesengsy, Raghu Machiraju, Han-Wei Shen, and Steffen Sammet, Michael Knopp, and Istvan Morcz,,. 2009,. Visual Analysis of Brain Activity from fMRI Data.. Computer Graphics Forum. 28,. no. 3,. 904-910 -. 904-910.. 2008. Ying Tu and Han-Wei Shen,. 2008,. Balloon Focus, A Seamless Multi Focus+Context Technique for Treemaps.. IEEE Transactions on Visualization and Computer Graphics. 14,. no. 6,. 1157-1164 -. 1157-1164.. Han-Wei Shen,. 2008,. "Interacting with Tree Dimensional Flow Fields.". ACM SIGGRAPH, Computer Graphics quarterly. 42,. no. 2,. Yuan Hong and Han-Wei Shen,. 2008,. Parallel Reflective Symmetry Transformation for Volume Data,.. Computers & Graphics. 32,. no. 1,. 41-48 -. 41-48.. Hsien-Hsi Hsieh, Liya Li, Han-Wei Shen, and Wen-Kai Tai,. 2008,. "A Volume Rendering Framework for Visualization 3D Flow Fields.". Journal of Fluid Science and Technology. 3,. no. 4,. 2007. Liya Li and Han-Wei Shen,. 2007,. Imaged Based Streamline Generation and Rendering.. IEEE Transactions on Visualization and Computer Graphics. 13,. no. 3,. 630-640 -. 630-640.. Chaoli Wang, Antonio Garcia, and Han-Wei Shen,. 2007,. Interactive Level-of-Detail Selection Using Image-Based Quality Metric for Large Volume Visualization.. IEEE Transactions on Visualization and Computer Graphics. 13,. no. 1,. 122-132 -. 122-132.. Woodring,Jonathan; Shen,Han-Wei,. 2007,. "Incorporating highlighting animations into static visualizations.". VISUALIZATION AND DATA ANALYSIS 2007. 6495,. 649503 -. 649503.. Ying Tu and Han-Wei Shen,. 2007,. Visualizing Changes of Hierarchical Data using Treemaps.. IEEE Transactions on Visualization and Computer Graphics. 13,. no. 6,. 1286-1293 -. 1286-1293.. 2006. Guangfeng Ji and Han-Wei Shen,. 2006,. Dynamic View Selection for Time-varying Volumes.. IEEE Transactions on Visualization and Computer Graphics,. 12,. no. 5,. 1109-1117 -. 1109-1117.. Chaoli Wang and Han-Wei Shen,,. 2006,. LOD Maps, A Visual Interface for Navigating Multiresolution Volume Visualization.. IEEE Transactions on Visualization and Computer Graphics. 12,. no. 5,. 1029-1037 -. 1029-1037.. Jonathan Woodring and Han-Wei Shen,,. 2006,. Multi-variate, Time-varying, and Comparative Visualization with Contextual Cues.. IEEE Transactions on Visualization and Computer Graphics. 12,. no. 5,. 1109-1117 -. 1109-1117.. 2005. Udeepta Bordoloi, David Kao, and Han-Wei Shen,. 2005,. Visualization Techniques for Spatial Probability Density Function Data.. Journal of Parallel Computing. 3,. 153-162 -. 153-162.. Jinzhu Gao, Chaoli Wang, Liya Li, and Han-Wei Shen,. 2005,. A Parallel Mult-resolution Volume Rendering Algorithm for Large Data Visualization, Journal of Parallel Computing.. Journal of Parallel Computing. 31,. no. 2,. 185-204 -. 185-204.. Antonio Garcia and Han-Wei Shen,. 2005,. GPU-based 3D Wavelet Reconstruction with Tileboarding.. The Visual Computer. 21,. no. 8,. 755-763 -. 755-763.. 2004. Han-Wei Shen, Guo-Shi Li, and Udeepta Bordoloi,. 2004,. Interactive Visualization of Three-Dimensional Vector Fields with Flexible Appearance Control.. IEEE Transactions on Visualization and Computer Graphics. 10,. no. 4,. 434-446 -. 434-446.. 2002. Udeepta Bordoloi and Han-Wei Shen,. 2002,. Hardware Accelerated Interactive Vector Field Visualization: A Level of Detail Approach.. Computer Graphics Forum. 21,. no. 3,. 605-614 -. 605-614.. 1998. Han-Wei Shen and David L. Kao,. 1998,. A New Line Integral Convolution Algorithm for Visualizing Unsteady Flows.. IEEE Transactions on Visualization and Computer Graphics. 4,. no. 2,. 98-108 -. 98-108.. 1997. Han-Wei Shen,. 1997,. Using Line Integral Convolution to Visualize Dense Vector Fields.. Computers in Physics. 11,. no. 5,. 474-480 -. 474-480.. 1996. Y. Livnat, Han-Wei Shen, and C.R. Johnson,. 1996,. A Near Optimal Isosurface Extraction Algorithm Using the Span Space.. IEEE Transaction on Visualization and Computer Graphics. 2,. no. 1,. 73-84 -. 73-84.. Unknown. Teng-Yok Lee and Han-Wei Shen,. "Visualization and Exploration of Temporal Trend Relationships in Multivariate Time-Varying Data,.". IEEE Transactions on Visualization and Computer Graphics. Boonthanome Nouanesengsey, Teng-Yok Lee, Han-Wei Shen,. "Load Balanced Parallel Streamline Generation on Large Scale Vector Fields.". IEEE Transactions on Visualization and Computer Graphics. Thomas Kerwin, Gregory Wiet, Don Stredney, and Han-Wei Shen,. "Automatic Scoring of Virtual Mastoidectomies Using Examples.". International Journal of Computer Assisted Radiology and Surgery. Presentations. "State-of-the-Art in Flow Visualization.". 2005,. Presented at The National Center for Atmospheric Research, (NCAR),. "Advanced Flow Visualization Tutorial.". 2010,. Presented at IEEE Pacific Visualization Symposium 2010,. "Visualization of Large Scale Multiresolution Data.". 2006,. Presented at University of Utah Department of Computer Science Distinguished Lecture,. "Three Dimensional Wavelet Transform using GPUs.". 2006,. Presented at Wayne State University Department of Computer Science Distinguished Lecture,. "An End-to-End Process for Large Scale Data Visualization.". 2007,. Presented at DOE SciDAC 2007 Conference,. "Advanced Flow Visualization.". 2007,. Presented at Japanese Visualization Society Distinguished Lecture,. "Advanced Flow Visualization.". 2007,. Presented at University of California Davis Department Distinguished Lecture,. "A Volumetric Framework for Flow Visualization.". 2007,. Presented at Keynote Speech: AFI/TFI 2007 Symposium,. "Unsteady Flow Visualization.". 2008,. Presented at IEEE Pacific Visualization 2008 Tutorial,. "Information and Visualization.". 2008,. Presented at IEEE Visualization 2008 Tutorial,. "Visualizing Time-Varying Data Using Eulerian and Lagrangian Approaches.". 2009,. Presented at 2009 Dagstuhl Workshop on Visualization,. "Information Theory and Visualization.". 2009,. Presented at Keynote Speech: Computer Graphics Workshop,. "Advanced Time-Varying Data Visualization.". 2009,. Presented at Argonne National Laboratory Seminar,. "Advanced Flow Visualization.". 2009,. Presented at 2009 Summer School on Visualization,. Keynote Speech: Visual Analytics for Enabling Extreme Scale Scientific Discovery.. 2011,. Presented at 2011 Visual Information Communication - International Symposium,. "Time-Varying Data Visualization.". 2004,. Presented at Oak Ridge National Laboratory,. "An Information Theoretic Framework for Exascale Visualization.". 2011,. Presented at DOE Computer Graphics Forum,. "Visual Analytics at Scale.". 2011,. Presented at Visual Analytics Consortium Anual Meeting,. Papers in Proceedings2016. Xin Tong, Huijie Zhang, Chris Jacobsen, Han-Wei Shen, Patrick McCormick. "Crystal Glyph: Visualization of Directional Distributions Based on the Cube Map.". in EuroVis 2016.. (6. 2016).. Hazarika, S.; Dutta, S.; Shen, H-W.. "Visualizing the Variations of Ensemble of Isosurfaces.". (1. 2016).. Wenbin He Chun-Ming Chen Xiaotong Liu Han-Wei Shen. "A Bayesian Approach for Probabilistic Streamline Computation in Uncertain Flows.". in IEEE Pacific Visualization.. (4. 2016).. Ayan Biswas, Richard Strelitz, Jonathan Woodring, Chun-Ming Chen, and Han-Wei Shen. "A Scalable Streamline Generation Algorithm Via Flux-Based Isocontour Extraction.". in Eurographics Symposium on Parallel Graphics and Visualization.. (6. 2016).. Hazarika, S.; Dutta, S.; Shen, H-W.. "Visualizing the Variations of Ensemble of Isosurfaces.". in IEEE Pacific Visualization Symposium (IEEE PacificVis).. (1. 2016).. Subahsis Hazarika, Soumya Dutta, Han-Wei Shen. "Visualizing the Variations of Ensemble of Isosurfaces.". in IEEE Pacific Visualization 2016.. (4. 2016).. Ross Vasko, Han-Wei Shen, Raphael Wenger. "Visualizing Flow Fields Using Fractal Dimensions.". in EuroVis 2016.. (6. 2016).. Hazarika, S.; Dutta, S.; Shen, H.W.. "Visualizing the variations of ensemble of isosurfaces.". (5. 2016).. 2015. Chen, Chun-Ming, Biswas, Ayan, Shen, Han-Wei. "Uncertainty Modeling and Error Reduction for Pathline Computation in Time-varying Flow Fields.". in IEEE Pacific Visualization 2015.. (4. 2015).. Tong, X.; Chen, C-M.; Shen, H-W.; Wong, P.C.. "Interactive Streamline Exploration and Manipulation Using Deformation.". (1. 2015).. Tong, X.; Chen, C-M.; Shen, H-W.; Wong, P.C.. "Interactive Streamline Exploration and Manipulation Using Deformation.". in IEEE Pacific Visualization Symposium (PacificVis).. (1. 2015).. Liu, Xiaotong, Shen, Han-Wei. "The Effects of Representation and Juxtaposition on Graphical Perception of Matrix Visualization.". in ACM CHI.. (4. 2015).. Tong, Xin, Chen, Chun-Ming, Shen, Han-Wei, Wang, Pak. "Interactive Streamline Exploration and Manipulation Using Deformation.". in IEEE Pacific Visualization 2015.. (4. 2015).. Biswas, Ayan, Thompson, David, He, Wenbin, Deng, Qi, Chen, Chun-Ming, Shen, Han-Wei, Machiraju, Raghu, Rangarjan, Anand. "An Uncertainty-Driven Approach to Vortex Analysis Using Oracle Consensus and Spatial Proximity.". in IEEE Pacific Visualization 2015.. (4. 2015).. 2014. Chaudhuri, A., Wei, T-H, Lee, T-Y, Shen, H-W, Peterka, T.. "Efficient Range Distribution Query for Visualizing Scientific Data.". in IEEE Pacific Visualization 2014.. (3. 2014).. Wong, P.C.; Shen, H-W.; Leung, R.; Hagos, S. et al.. "Visual Analytics of Large-Scale Climate Model Data.". in IEEE Symposium on Large Data Analysis and Visualization.. (1. 2014).. Wong, P., Shen, Han-Wei, Leung, Ruby, Hagos, Samson, lee, Teng-Yok, Tong, Xin, Lu, Kewei. "Visual Analytics of Large-Scale Climate Model Data.". in IEEE Symposium on Large Data Analysis and Visualization.. (11. 2014).. Lu, Kewei, Shen, Han-Wei, Peterka, Tom. "Scalable Computation of Stream Surfaces on Large Scale Vector Fields.". in ACM Supercomputing 2014.. (11. 2014).. Wong, P.C.; Shen, H-W.; Leung, R.; Hagos, S. et al.. "Visual Analytics of Large-Scale Climate Model Data.". (1. 2014).. 2013. Chun-Ming Chen, Han-Wei Shen. "Graph-based seed scheduling for out-of-core FTLE and pathline computation,.". in IEEE Large Data Analysis and Visualization.. (10. 2013).. Tu, Ying, Shen, Han-Wei Shen. "GraphCharter: Combining Browsing with Query to Explore Large Semantic Graphs.". in IEEE Pacific Visualization 2013.. (2. 2013).. Lu, Kewei, Chaudhuri, Abon, Lee, Teng-Yok, Shen, Han-Wei, Wong, Pak Chung. "Exploring Vector Fields with Distribution-based Streamline Analysis.". in IEEE Pacific VIsualization 2013.. (2. 2013).. Martin, Steven, Shen, Han-Wei. "Transformations for Volumetric Range Distribution Queries.". in IEEE Pacific Visualization.. (2. 2013).. 2012. Martin, Steve, Shen Han-Wei. "Interactive Transfer Function Design on Large Multiresolution Volumes.". in IEEE Symposium on Large Data Analysis and Visualization.. (10. 2012).. Abon Chaudhuri and Han-Wei Shen. "A Self-Adaptive Technique for Visualizing Geospatial Data in 3D with Minimum Occlusion.". in Visualization and Data Analysis Conference in IS&/SPIE.. (1. 2012).. Chun-Ming Chen, Lijie Xu, Teng-Yok Lee, Han-Wei Shen. "A Flow Guided Layout for Out-of-Core Streamline Computation.". in IEEE Pacific Visualization 2012.. (2. 2012).. Tong, Xin, Lee, Teng-Yok, Shen, Han-Wei. "Salient Time Steps Selection from Large Scale Time-Varying Data Sets with Dynamic Time Warping.". in IEEE Symposium on Large Data Analysis and Visualization.. (10. 2012).. Thomas Kerwin, D. Stredney, G. Wiet, Han-Wei Shen. "Virtual Mastoidectomy performance evaluation through multi-volume analysis.". in Computer Assisted Radiology and Surgery.. (6. 2012).. Abon Chaudhuri and Han-Wei Shen. "A Self-Adaptive Technique for Visualizing Geospatial Data in 3D with Minimum Occlusion.". in Visualization and Data Analysis Conference in IS&/SPIE Symposium on Electronic Imaging.. (1. 2012).. Chen, Chun-Ming, Nouanesengsy, Boonthanome, Lee, Teng-Yok, Shen, Han-Wei. "Flow-Guided File Layout for Out-of-core Pathline Computation.". in IEEE Symposium on Large Data Analysis and Visualization.. (10. 2012).. Chauduhri, Abon, Lee, Teng-Yok, Wang, Cong, Zhou, Bo, Xu, Tian-Tian, Shen, Han-Wei, Peterka, Tom, Chiang, Yi-Jen. "Scalable Computation of Distributions from Large Scale Data Sets.". in IEEE Symposium on Large Data Analysis and Visualization.. (10. 2012).. Nouanesengsy, Noonthanome, Lee, Teng-Yok Lee, Lu, Kewei, Shen, Han-Wei. "Parallel Particle Advection and FTLE Computation for Time-Varying Flow Fields.". in ACM SC 12.. (11. 2012).. 2011. Nouanesengsy,Boonthanome; Lee,Teng-Yok; Shen,Han-Wei. "Load-Balanced Parallel Streamline Generation on Large Scale Vector Fields.". in IEEE Visualization Conference (Vis)/IEEE Information Visualization Conference (InfoVis).. (12. 2011).. Tom Peterka, Rob Ross, Wes Kendall, Attila Gyulassy, Valerio Pascucci, Han-Wei Shen, Teng-Yok Lee, Abon Chaudhuri. "Scalable Parallel Building Blocks for Custom Data Analysis.". in IEEE Symposium on Large Data Analysis and VIsualization (LDAV).. (10. 2011).. Tom Peterka, Rob Ross, Wes Kendall, Attila Gyulassy, Valerio Pascucci, Han-Wei Shen, Teng-Yok Lee, Abon Chaudhuri. "Scalable Parallel Building BLocks for Custom Data Analysis.". in IEEE Symposium on Large Data Analysis and Visualization (LDAV).. (10. 2011).. Steve Martin and Han-Wei Shen. "Histogram Spectra for Multivariate Time-Varying Volume LOD Selection.". in IEEE Large Data Analysis and Visualization Symposium.. (10. 2011).. Teng-Yok Lee, Oleg Mishchenko, and Han-Wei Shen. "View point evaluation and streamline filtering for flow visualization.". in IEEE Pacific Visualization 2011.. (3. 2011).. Boonthanome Nouanesengsy, Jim Ahrens, Jonathan Woodring, and Han-Wei Shen. "Revisiting parallel rendering for shared memory machines.". in Eurographics Symposium on Parallel Graphics and Visualization.. (4. 2011).. Steve Martin and Han-Wei Shen. "HIstogram Spectra for Multivariate Time-Varying Volume LOD Selection.". in IEEE Symposium on Large Dat Analysis and Visualization.. (10. 2011).. Tom Peterka, Robert Ross, Boonthanome Nouanesengsy, Teng-Yok Lee, Han-Wei Shen, Wes Kendall, and Jian Huang. "A study of parallel particle tracing for steady-state and time-varying flow fields.". in IEEE International Parallel and Distributed Processing Symposium (IPDPS)'11.. (5. 2011).. 2010. Steven Martin, Han-Wei Shen, and Patrick McCormick. "Load-Balanced Isosurfacing on Multi-GPU Clusters.". in Eurographics Symposium on Parallel Graphics and Visualization 2010.. (5. 2010).. Yuan Hong, Tom Peterka, and Han-Wei Shen. "Histogram-based I/O Optimization for Visualizing Large-Scale Data.". in SC 09 Ultrascale Visualization Workshop.. (1. 2010).. Teng-Yok Lee, Abon Chaudhuri, Fatih Poikli, and Han-Wei Shen. "CycleStack: Inferring Periodic Behavior via Temporal Sequence Visualization in Ultrasound Video.". in IEEE Pacific Visualization Symposium 2010.. (3. 2010).. Lijie Xu and Han-Wei Shen. "Flow Web: A Graph Based User interface for 3D Flow Field Exploration.". in IS&T/SPIE Proceedings of Visualization and Data Analysis.. (1. 2010).. Wes Kendall, Tom Peterka, Jian Huang, Han-Wei Shen, and Robert Ross. "Accelerating and Benchmarking Radix-k Image Compositing at Large Scale.". in Eurographics Symposium on Parallel Graphics and Visualization 2010.. (5. 2010).. Thomas Kerwin, Brad Hittle, Han-Wei Shen, Don Stredney, and Gregory Wiet. "Anatomical Volume Visualization with Weighted Distance Fields.". in Eurographics Workshop on Visual Computing for Biology and Medicine.. (7. 2010).. 2009. Abon Chaudhuri and Han-Wei Shen. A Self-adaptive Treemap-based Technique for Visualizing Hierarchical Data in 3D.. in IEEE Pacific Visualization 2009.. http://portal.acm.org/citation.cfm?id=1590959.1591308&coll=Portal&dl=GUIDE&CFID=53514876&CFTOKEN=37570250,. (1. 2009).. Lee,Teng-Yok; Shen,Han-Wei. "Visualization and Exploration of Temporal Trend Relationships in Multivariate Time-Varying Data.". in IEEE Information Visualization Conference/IEEE Visualization Conference.. (11. 2009).. Zhiyan Du, Yi-Jen Chiang, and Han-Wei Shen,. Out-of-Core Rendering for Time-Varying Fields using a Space-Partitioning Tree (SPT).. in IEEE Pacific Visualization 2009.. http://portal.acm.org/citation.cfm?id=1590959.1591317&coll=Portal&dl=GUIDE&CFID=53514876&CFTOKEN=37570250,. (1. 2009).. Tom Peterka, David Goodwell, Rob Ross, Han-Wei Shen, Rajiv Takur. "A Configurable Algorithm for Parallel Image Compositing Applications.". in ACM/IEEE Supercomputing 2009 (SC09).. (1. 2009).. Teng-yok Lee and Han-Wei Shen. Visualizing Time-Varying Features with TAC-based Distance Fields.. in IEEE Pacific Visualization 2009.. http://portal.acm.org/citation.cfm?id=1590959.1591308&coll=Portal&dl=GUIDE&CFID=53514876&CFTOKEN=37570250,. (1. 2009).. Boonthanome Nouanesengsy, Sang-Cheol Seok, Han-Wei Shen, and VeronicaVieland. "Using Projection and 2D Plots to Visually Reveal Genetic Mechanisms of Complex Human Disorders.". in IEEE Symposium on Visual Analytics Science and Technology (VAST) 2009.. (10. 2009).. Nouanesengsy, B.; Seok, S.C.; Shen, H.W.; Vieland, V.J.. "Using projection and 2D plots to visually reveal genetic mechanisms of complex human disorders.". (12. 2009).. 2008. Ross, R.B.; Peterka, T.; Shen, H-W.; Hong, Y. et al.. "Visualization and parallel I/O at extreme scale.". (1. 2008).. Aidong Lu and Han-Wei Shen. Interactive Storyboard for Overall Time-varying Data Visualization.. in IEEE Pacific Visualization 2008.. http://ieeexplore.ieee.org/search/wrapper.jsp?arnumber=4475470,. (1. 2008).. Guangfeng Ji, Han-Wei Shen, and Jinzhu Gao. Interactive Exploration of Remote Isosurface with Point-based Non-photorealistic Rendering.. in IEEE Pacific Visualization 2008.. http://ieeexplore.ieee.org/search/wrapper.jsp?arnumber=4475455,. (1. 2008).. Rob Ros, Tom Peterka, Han-Wei Shen, Yuan Hong, Kwan-Liu Ma, Hong-feng Yu, and Ken Moreland. "Visualization and Parallel I/O at Extreme Scale.". in Journal of Physics: Conference Series (Proceedings of SciDAC 2008).. (1. 2008).. Ross, R.B.; Peterka, T.; Shen, H-W.; Hong, Y. et al.. "Visualization and parallel I/O at extreme scale.". in 4th Annual Scientific Discovery Through Advanced Computing Conference (SciDAC 2008).. (1. 2008).. Liya Li, Hsien-Hi Hsieh, and Han-Wei Shen,. Illustrative Streamline Placement and Visualization.. in IEEE Pacific Visualization 2008.. http://ieeexplore.ieee.org/search/wrapper.jsp?arnumber=4475462,. (1. 2008).. Steve Martin, Han-Wei Shen, Ravi Samtaney,. Efficient Rendering of Extrudable Curvilinear Volumes.. in IEEE Pacific Visualization 2008.. http://ieeexplore.ieee.org/search/wrapper.jsp?arnumber=4475452,. (1. 2008).. 2007. Jonathan Woodring and Han-Wei Shen,. "Incorporating Highlighting Animations into Static Visualizations.". in SPIE Electronic Imaging 07.. (1. 2007).. Yuan Hong and Han-Wei Shen. "Parallel Reflective Symmetry Transformation for Volume Data.". in Eurographics/ACM SIGGRAPH Symposium on Parallel Graphics and Visualization 2007.. (1. 2007).. 2006. Han-Wei Shen. "Visualization of Large Scale Time-Varying Scientific Data.". in Journal of Physics: Conference Series (Proceedings of SciDAC 2006),.. (1. 2006).. Naeem Shareef, Teng-Yok Lee, Han-Wei Shen, and Klaus Mueller. "An Image-based Modeling Approach to GPU-based Unstructured Grid Volume Rendering.". in Volume Graphics 2006.. (1. 2006).. Guangfeng Ji and Han-Wei Shen. "Feature Tracking using Earth Movers Distance and Global Optimization.". in Pacific Graphics 2006.. (1. 2006).. Thomas Kerwin, Han-Wei Shen, and Don Stredney. "Capture and Review of Interactive Volumetric Manipulations for Surgical Training.". in Volume Graphics 2006.. (1. 2006).. Liya Li and Han-Wei Shen. "View Dependent Multiresolution Flow Texture Advection.". in SPIE Electronic Imaging, Visualization and Data Analysis 2006.. (1. 2006).. 2005. Chaoli Wang and Han-Wei Shen. Hierarchical Navigation Interface: Leverage Multiple Coordinated Views for Level-of-Detail Multi-resolution Volume Rendering of Large Scientific Data Set.. in International Conference on Information Visualization 2005.. http://www2.computer.org/portal/web/csdl/doi/10.1109/IV.2005.57,. (1. 2005).. Chaoli Wang, Jinzhu Gao, Liya Li, and Han-Wei Shen. A Multiresolution Volume Rendering Framework for Large-Scale Time-Varying Data Visualization.. in Volume Graphics 2005.. http://dblp.uni-trier.de/db/conf/vg/vg2005.html,. (1. 2005).. Udeepta Bordoloi and Han-Wei Shen. Viewpoint Evaluation for Volume Rendering.. in IEEE Visualization 2005.. http://www2.computer.org/portal/web/csdl/doi/10.1109/VIS.2005.110,. (1. 2005).. Antonio Garcia and Han-Wei Shen. "Asynchronous Rendering of Time-Variant Volumes with Workload-Based Data Shuffling.". in HPC spring simulation multiconference.. (1. 2005).. 2004. Udeepta D. Bordoloi, David L. Kao and Han-Wei Shen. "Visualization and exploration of spatial probability density functions: A clustering based approach.". in SPIE & IS&T Conference on Visualization and Data Analysis,.. (1. 2004).. Guangfeng Ji and Han-Wei Shen. Efficient Isosurface Tracking Using Precomputed Correspondence Table.. in Eurographics-IEEE TCVG Symposium on Visualization 2004.. http://dblp.uni-trier.de/db/conf/vissym/vissym2004.html,. (1. 2004).. Jinzhu Gao, Han-Wei Shen, Jian Huang, and Jim Kohl. Visibility Culling for Time-Varying Volume Rendering Using Temporal Occlusion Coherence.. in IEEE Visualization 2004.. http://portal.acm.org/citation.cfm?id=1032664.1034442&coll=Portal&dl=GUIDE&CFID=53514876&CFTOKEN=37570250,. (1. 2004).. Chaoli Wang, Jinzhu Gao, and Han-Wei Shen. "Parallel Multiresolution Volume Rendering of Large Data Sets with Error-Guided Load Balancing.". in Eurographics/ACM SIGGRAPH Symposium on Parallel Graphics and Visualization 2004.. (1. 2004).. 2003. S. Senapathi, B. Chandrasekaran, D. Stredney, Han-Wei Shen, and D. K. Panda. "QoS-aware Middleware for Cluster-based Servers to Support Interactive and Resource-Adaptive Applications.". in High Performance Distributed Computing (HPDC-12).. (1. 2003).. Senapathi, S.; Chandrasekaran, B.; Stredney, D.; Shen, H. et al.. "QoS-aware middleware for cluster-based servers to support interactive and resource-adaptive applications.". in 12th IEEE International Symposium on High-Performance Distributed Computing.. (1. 2003).. Senapathi, S.; Chandrasekaran, B.; Stredney, D.; Shen, H. et al.. "QoS-aware middleware for cluster-based servers to support interactive and resource-adaptive applications.". (1. 2003).. Guangfeng Ji, Han-Wei Shen, and Rephael Wenger. Volume Tracking Using Higher Dimensional Isocontouring.. in IEEE Visualization 2003.. http://portal.acm.org/citation.cfm?id=1081432.1081472&coll=Portal&dl=GUIDE&CFID=53514876&CFTOKEN=37570250,. (1. 2003).. Guo-Shi Li, Udeepta Bordoloi, and Han-Wei Shen. Chameleon: An Interactive Texture Based Rendering Framework for Visualizing Three-Dimensional Vector Fields.. in IEEE Visualization 2003.. http://portal.acm.org/citation.cfm?id=1081432.1081476&coll=Portal&dl=GUIDE&CFID=53514876&CFTOKEN=37570250,. (1. 2003).. Jinzhu Gao, Jian Huang, Han-Wei Shen, and Jim Kohl. Visibility Culling Using Plenoptic Opacity Function for Large Scale Data Visualization.. in , IEEE Visualization 2003.. http://portal.acm.org/citation.cfm?id=1081432.1081489&coll=Portal&dl=GUIDE&CFID=53514876&CFTOKEN=37570250,. (1. 2003).. Jinzhu Gao and Han-Wei Shen. Hardware-Assisted View-Dependent Isosurface Extraction using Spherical Partition,.. in Joint Eurographics-IEEE TCVG Symposium on Visualization.. http://portal.acm.org/citation.cfm?id=769922.769952&coll=Portal&dl=GUIDE&CFID=53514876&CFTOKEN=37570250,. (1. 2003).. Udeepta Bordoloi and Han-Wei Shen,. Space Efficient Fast Isosurface Extraction for Large Datasets.. in IEEE Visualization 2003.. http://ieeexplore.ieee.org/search/wrapper.jsp?arnumber=1250373,. (1. 2003).. Jonathan Woodring, Chaoli Wang, and Han-Wei Shen. High Dimensional Direct Rendering of Time-Varying Volumes.. in IEEE Visualization 2003.. http://portal.acm.org/citation.cfm?id=1081432.1081498&coll=Portal&dl=GUIDE&CFID=53514876&CFTOKEN=37570250,. (1. 2003).. Senapathi, S.; Chandrasekaran, B.; Stredney, D.; Shen, H. et al.. "QoS-aware middleware for cluster-based servers to support interactive and resource-adaptive applications.". (1. 2003).. Jonathan Woodring, Han-Wei Shen,. Chronovolumes, A Direct Rendering Technique for Visualizing Time-Varying Data.. in 2003 International Workshop on Volume Graphics.. http://portal.acm.org/citation.cfm?doid=827051.827054,. (1. 2003).. 2002. Sandhya Senapathi, Dhabaleswar K. Panda, Don Stredney, Han-Wei Shen. "A QoS Framework for Clusters to Support Applications with Resource Adaptivity and Predictable Performance.". in International Workshop on Quality of Service (IWQoS).. (1. 2002).. Udeepta Bordoloi and Han-Wei Shen. Hardware Accelerated Interactive Vector Field Visualization: A Level of Detail Approach.. in Eurographics 2002.. http://www.mpi-inf.mpg.de/conferences/eg2002/programme/index.html,. (1. 2002).. Xinyue Li and Han-Wei Shen. Time-Critical Multiresolution Volume Rendering using 3D Texture Hardware.. in IEEE/ACM 2002 Symposium on Volume Visualization and Graphics.. http://portal.acm.org/citation.cfm?id=584110.584116&coll=Portal&dl=GUIDE&CFID=53514876&CFTOKEN=37570250,. (1. 2002).. Tony Garcia and Han-Wei Shen. An Interleaved Parallel Volume Renderer with PC clusters.. in Eurographics Workshop on Parallel Graphics and Visualization.. http://portal.acm.org/citation.cfm?id=569673.569682&coll=Portal&dl=GUIDE&CFID=53514876&CFTOKEN=37570250,. (1. 2002).. 2001. Jinzhu Gao, Han-Wei Shen, and Tony Garcia. "Parallel View-dependent Isosurface Extraction and Rendering.". in 10th SIAM Conference on Parallel Processing for Scientific Computing.. (1. 2001).. Jinzhu Gao and Han-Wei Shen. Parallel View-Dependent Isosurface Extraction using Multi-Pass Occlusion Culling.. in ACM/IEEE Symposium on Parallel and Large Data Visualization.. http://portal.acm.org/citation.cfm?id=502125.502138&coll=Portal&dl=GUIDE&CFID=53514876&CFTOKEN=37570250,. (1. 2001).. Xinyue Li and Han-Wei Shen. "Adaptive Volume Rendering using Fuzzy Logic Control.". in Joint Eurographics-IEEE TCVG Symposium on Visualization.. (1. 2001).. 2000. Shen, H.W.; Chiang, L.J.; Ellsworth, D.. "Accelerating Time-Varying Hardware Volume Rendering Using TSP Trees and Color-Based Error Metrics.". (1. 2000).. Roger Crawfis, Han-Wei Shen, and Nelson Max. "Flow Visualization Techniques for CFD Using Volume Rendering.". in 9th International Symposium on Flow Visualization.. (1. 2000).. Kwan-Liu Ma and Han-Wei Shen,. "Visualization Techniques for Time-Varying Volume Data.". in 2000 International Computer Symposium (ICS2000),.. (1. 2000).. David Ellsworth, Ling-Jen Chiang, and Han-Wei Shen. Accelerating Time-varying Hardware Volume Rendering using TSP Trees and Color-based Error Metrics.. in IEEE/ACM 2000 Symposium on Volume Visualization.. http://portal.acm.org/citation.cfm?doid=353888.353908,. (1. 2000).. Phil Sutton, Charles Hansen, Han-Wei Shen, and Dan Schikore. A Case Study of Isosurface Extraction Algorithm Performance.. in Eurographics/IEEE TCVG Symposium on Visualization.. http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.14.6598,. (1. 2000).. 1999. David Kao and Han-Wei Shen. "Automatic Surface Flow Feature Visualization.". in 14th AIAA Computational Fluid Dynamic Conference.. (1. 1999).. Han-Wei Shen, D. Kao, L. Chiang, and A. Kuswik. "GLIC: An Interactive Software Tool for Visualizing Surface Flows.". in 37th AIAA Aerospace Sciences Meeting and Exhibit.. (1. 1999).. Han-Wei Shen, Ling-Jen Chiang, and Kwan-Liu Ma. Time-Varying Volume Rendering using a Time-Space Partitioning Tree.. in IEEE Visualization 99.. http://portal.acm.org/citation.cfm?id=832273.834142&coll=Portal&dl=GUIDE&CFID=53514876&CFTOKEN=37570250,. (1. 1999).. Shen, H.W.; Kao, D.L.; Chiang, L.J.; Kuswik, A.. "GLIC: An interactive software tool for visualizing surface flows.". (1. 1999).. 1998. D. L. Kao and Han-Wei Shen. "Numerical Surface Flow Visualization.". in 1997 36th AIAA Aerospace Science Meeting and Exhibition.. (1. 1998).. Han-Wei Shen. Isosurface Extraction from Time-Varying Fields Using a Temporal Hierarchical Index Tree.. in IEEE Visualization '98.. http://portal.acm.org/citation.cfm?id=288216.288240&coll=Portal&dl=GUIDE&CFID=53514876&CFTOKEN=37570250,. (1. 1998).. 1997. Han-Wei Shen and D. L. Kao. UFLIC: A Line Integral Convolution Algorithm for Unsteady Flows.. in IEEE Visualization'97.. http://portal.acm.org/citation.cfm?id=266989.267093&coll=Portal&dl=GUIDE&CFID=53514876&CFTOKEN=37570250,. (1. 1997).. 1996. Han-Wei Shen, C.D. Hansen, Y. Livnat, and C.R. Johnson. Isosurfacing in Span Space with Utmost Efficiency (ISSUE).. in IEEE Visualization'96.. http://portal.acm.org/citation.cfm?id=244979.245617&coll=Portal&dl=GUIDE&CFID=53514876&CFTOKEN=37570250,. (1. 1996).. Han-Wei Shen, C.R. Johnson, and K.-L. Ma. Visualizing Vector Fields Using Line Integral Convolution and Dye Advection.. in 1996 ACM/IEEE Symposium on Volume Visualization.. http://portal.acm.org/citation.cfm?id=236226.236234&coll=Portal&dl=GUIDE&CFID=53514876&CFTOKEN=37570250,. (1. 1996).. 1995. Han-Wei Shen, and C.R. Johnson. Sweeping Simplices: A Fast Isosurface Extraction Algorithm for Unstructured Grids.. in IEEE Visualization'95.. http://portal.acm.org/citation.cfm?id=832271.833868&coll=Portal&dl=GUIDE&CFID=53514876&CFTOKEN=37570250,. (1. 1995).. 1994. Han-Wei Shen, and C.R. Johnson. Differential Volume Rendering: A Fast Algorithm for Flow Animation.. in IEEE Visualization'94.. http://portal.acm.org/citation.cfm?id=951087.951122&coll=Portal&dl=GUIDE&CFID=53514876&CFTOKEN=37570250,. (1. 1994).. Han-Wei Shen, P. Gharpure, and C.R. Johnson. "Visualization of 3-D Wave Propagation in the Heart - a New Technique.". in IEEE Engineering in Medicine and Biology Society (IEEE EMBS) 16th Annual International Conference.. (1. 1994).. Department ofComputer Science and Engineering395 Dreese Laboratories2015 Neil AvenueColumbus, OH 43210-1277(614) 292-5813 Phone(614) 292-2911 Fax. Support CSE. Invest in a Buckeye. Your gift will make a difference.. Connect. facebookyoutube. 2019 The Ohio State UniversityAccessibilityPrivacy PolicyHelpLogin. diff --git a/src/data/compiled_bios/4072.txt b/src/data/compiled_bios/4072.txt new file mode 100644 index 0000000000..4a622aee87 --- /dev/null +++ b/src/data/compiled_bios/4072.txt @@ -0,0 +1 @@ +Ness Shroff. Ohio Eminent Scholar, Electrical & Computer Engr.. Ohio Eminent Scholar, Computer Science & Engineering. 764 Dreese Laboratories. 2015 Neil Ave. Columbus,. OH. 43210. 614-247-6554. shroff.11@osu.edu. http://www.ece.osu.edu/~shroff. Honors. January, 2006. Best student paper award.. January, 2006. Best Paper Award.. January, 2005. Best paper of the year award.. January, 2003. Best paper of the year award.. January, 1996. NSF CAREER award.. Fellow.. Department ofComputer Science and Engineering395 Dreese Laboratories2015 Neil AvenueColumbus, OH 43210-1277(614) 292-5813 Phone(614) 292-2911 Fax. Support CSE. Invest in a Buckeye. Your gift will make a difference.. Connect. facebookyoutube. 2019 The Ohio State UniversityAccessibilityPrivacy PolicyHelpLogin. diff --git a/src/data/compiled_bios/4073.txt b/src/data/compiled_bios/4073.txt new file mode 100644 index 0000000000..2695a062f8 --- /dev/null +++ b/src/data/compiled_bios/4073.txt @@ -0,0 +1 @@ +Prasun Sinha. Professor, Computer Science & Engineering. Room #791. 745 S. Bernardo Ave #D155. Sunnyvale,. CA. 94087. 650-284-6711. sinha.43@osu.edu. http://web.cse.ohio-state.edu/~prasun. Honors. September, 2014. Best Paper Finalist.. May, 2013. Best Student Paper.. January, 2010. IEEE Senior Member.. January, 2009. Lumley Research Award.. January, 2007. Best Paper Finalist.. January, 2006. NSF CAREER Award.. January, 2002. Nominated for ACM PhD Dissertation Award.. January, 2000. Ray Ozzie Fellowship.. January, 1999. Mavis Memorial Scholarship.. January, 1999. Project CEDAR (PhD Thesis) was selected among the top 4 out of approx. 60 projects nationwide.. January, 1997. Distinguished Academic Achievement Award.. January, 1995. Secured All India Rank of 8th (1st in North India Zone) in GATE (Entrance Examination for GraduateStudies in the field of Computer Science in India).. January, 1992. Vivekvir Puraskar (for academic excellence), State of Madhya Pradesh, India.. Chapters2007. 2007.. "Boundary Detection for Sensor Networks.". In Wireless Sensor Networks and Applications (Book Series: Network Theory and Applications),. edited by Yingshu Li, My Thai, and Weili Wu,. 2007.. "Protocols for Data Aggregation in Sensor Networks.". In Wireless Sensor Networks and Applications (Book Series: Network Theory and Applications),. edited by Yingshu Li, My Thai, and Weili Wu,. 2007.. "Messaging in Sensor Networks: BridgingWireless Communications and Applications.". In Handbook of Real-Time and Embedded Systems,. edited by Insup Lee, Joe Leung, and Sang Son,. 2005. 2005.. "Ad-hoc Routing Protocols.". In Algorithms and Protocols for Wireless and Mobile Networks,. edited by A. Boukerche,. 2004. 2004.. "QoS Issues in Ad-hoc Networks.". In Ad-hoc Networks: Technologiesand Protocols,. edited by P. Mohapatra and S. Krishnamurthy,. 2003. 2003.. "Challenges in the Evolution from Single-hop to Multi-hop Wireless Networks.". In Performance Evaluation - Stories and Perspectives Symposium,. edited by G. Kotsis,. Journal Articles2014. Tarun Bansal*, Dong Li*, and Prasun Sinha,. 2014,. "Opportunistic Channel Sharing for Improved Throughput in Cognitive Radio Networks.". IEEE Transactions on Mobile Computing (TMC). 13,. no. 4,. 852-865 -. 852-865.. 2009. Sha Liu*, Kai-Wei Fan* and Prasun Sinha,. 2009,. "CMAC: Energy Efficient MAC Layer Design for Sensor Networkswith Anycasting.". ACM Transactions on Sensor Networks (TOSN). 5,. no. 4,. 32 -. 32.. Zizhan Zheng* and Prasun Sinha,. 2009,. "Buffer Coding for Reliable Transmissions over Wireless Networks.". Elsevier Computer Communications (COMCOM). 32,. no. 1,. 111-123 -. 111-123.. 2008. Liu,Ren-Shiou; Fan,Kai-Wei; Sinha,Prasun,. 2008,. "ClearBurst: Burst scheduling for contention-free transmissions in sensor networks.". WCNC 2008: IEEE WIRELESS COMMUNICATIONS & NETWORKING CONFERENCE, VOLS 1-7. 1,. 1899-1904 -. 1899-1904.. Zheng,Zizhan; Fan,Kai-Wei; Sinha,Prasun; Wang,Yusu,. 2008,. "Distributed Roadmap Aided Routing in Sensor Networks.". 2008 FIFTH IEEE INTERNATIONAL CONFERENCE ON MOBILE AD-HOC AND SENSOR SYSTEMS, VOLS 1 AND 2. 1,. 334-339 -. 334-339.. 2007. Apaydin,Tan; Vural,Serdar; Sinha,Prasun,. 2007,. "On improving data accessibility in storage based sensor networks.". 2007 IEEE INTERNATIONAL CONFERENCE ON MOBILE AD-HOC AND SENSOR SYSTEMS, VOLS 1-3. 633-641 -. 633-641.. Apaydin,Tan; Vural,Serdar; Sinha,Prasun,. 2007,. "On improving data accessibility in storage based sensor networks.". 2007 IEEE INTERNATIONAL CONFERENCE ON MOBILE AD-HOC AND SENSOR SYSTEMS, VOLS 1-3. 633-641 -. 633-641.. 2002. Prasun Sinha, Narayanan Venkitaraman, Raghupathy Sivakumar and Vaduvur Bharghavan,. 2002,. "WTCP: A Reliable Transport Protocol for Wireless Wide-Area Networks.". Wireless Networks (WINET). 8,. no. 2-3,. 301-316 -. 301-316.. Unknown. Zizhan Zheng*, Prasun Sinha, and Santosh Kumar,. "Intermittent Coverage: Bounding the Interconnection Gap for Vehicular Internet Access Zizhan Zheng, Prasun Sinha, and Santosh Kumar.". IEEE/ACM Transactions on Networking (TON). Presentations. "MARVEL: Multiple Antenna based Relative Vehicle Localizer.". 2013,. Presented at GE Research,. "Rethinking Network Protocol Design for Large Scale Sensor Networks.". 2008,. Presented at University of Southern California,. "Enabling Fair Sharing of Resources in Femtocell based Architectures.". 2011,. Presented at Huawei Technologies,. "Enabling Fair Sharing of Resources in Femtocell based Architectures.". 2011,. Presented at Stanford University,. "Performance Analysis of Work-Conserving Schedulers in Minimizing the Total Flow Time with Phase Precedence.". 2012,. Presented at Allerton Conference,. "Symphony: Cooperative Packet Recovery over the Wired Backbone in Enterprise WLANs.". 2013,. Presented at Stanford University,. "Data Aggregation in Sensor Networks.". 2007,. Presented at BBN Technologies,. "Energy-Efficient Protocol Design for Sensor Networks.". 2007,. Presented at Robert Bosch Labs,. "Rethinking Network Protocol Design for Large Scale Sensor Networks.". 2008,. Presented at University of Illinois,. "Rethinking Network Protocol Design for Large Scale Sensor Networks.". 2008,. Presented at University of California,. "Perpetual Operation in Renewable Energy based Sensor Networks.". 2010,. Presented at University of Illinois,. "Perpetual Sensor Networks.". 2010,. Presented at Robert Bosch Labs,. "Fast Smartphone Discovery in your Neighborhood.". 2011,. Presented at Deutsche Telekom,. "Relative Localization of Vehicles.". 2012,. Presented at GM Research,. "Targeted V2V Communication.". 2013,. Presented at Toyota Infotechnology Center,. "Rethinking Network Protocol Design for Large Scale Sensor Networks.". 2008,. Presented at University of Michigan,. "Enabling Fair Sharing of Resources in Femtocell based Architectures.". 2010,. Presented at Sprint Labs,. "Fast Smartphone Discovery in your Neighborhood.". 2011,. Presented at Nokia Research Labs,. "Enabling Fair Sharing of Resources in Femtocell based Architectures.". 2011,. Presented at DoCoMo Research Labs,. "Relative Localization of Vehicles.". 2012,. Presented at Toyota Infotechnology Center,. "Navigating the Taxi Driver to Find the Passenger.". 2013,. Presented at UKC (US Korea Collaboration) organized by KSEA (Korean-American Scientists and Engineers Association),. "Exploiting Wired Backbones for Faster Wireless Networks.". 2014,. Presented at TAMU,. "Symphony: Cooperative Packet Recovery over the Wired Backbone in Enterprise WLANs.". 2013,. Presented at MIT,. "Exploiting Wired Backbones for Faster Wireless Networks.". 2014,. Presented at CEWIT 2014 (at Stony Brook),. "Exploiting Wired Backbones for Faster Wireless Networks.". 2014,. Presented at UT Dallas,. "Rethinking Network Protocol Design for Large Scale Sensor Networks.". 2008,. Presented at Cornell University,. Papers in Proceedings2016. Tummala, G.K.; Li, D.; Sinha, P.. "RoadMap: Mapping vehicles to IP addresses using motion signatures.". (10. 2016).. Yang, Y.; Liu, J.; Sinha, P.; Shroff, N.B.. "Dynamic user association and energy control in cellular networks with renewable resources.". (2. 2016).. Tummala, G.; Li, D.; Sinha, P.. "RoadMap: Mapping Vehicles to IP Addresses using Motion Signatures.". in Proc. of ACM CarSys (MobiCom Workshop).. (10. 2016).. 2015. Yang, Y.; Liu, J.; Sinha, P.; Shroff, N.B.. "Dynamic User Association and Energy Control in Cellular Networks with Renewable Resources.". in 54th IEEE Conference on Decision and Control (CDC).. (1. 2015).. Yousi Zheng*, Ness B. Shroff, R. Srikant and Prasun Sinha. "Exploiting Large System Dynamics for Designing Simple Data Center Schedulers.". in IEEE INFOCOM.. (4. 2015).. Zheng, Y.; Shroff, N.B.; Srikant, R.; Sinha, P.. "Exploiting Large System Dynamics for Designing Simple Data Center Schedulers.". in 34th IEEE Conference on Computer Communications (INFOCOM).. (1. 2015).. Zheng, Y.; Ji, B.; Shroff, N.B.; Sinha, P.. "Forget the Deadline: Scheduling Interactive Applications in Data Centers.". in IEEE 8th International Conference on Cloud Computing.. (1. 2015).. Zheng, Y.; Ji, B.; Shroff, N.B.; Sinha, P.. "Forget the Deadline: Scheduling Interactive Applications in Data Centers.". (1. 2015).. Yousi Zheng*, Bo Ji, Ness B. Shroff, and Prasun Sinha. "Forget the Deadline: Scheduling Interactive Applications in Data Centers.". in IEEE Cloud.. (6. 2015).. Yang Yang, Jiashang Liu*, Prasun Sinha and Ness B. Shroff. "Dynamic User Association and Energy Control in Cellular Networks with Renewable Resources.". in IEEE CDC.. (12. 2015).. Zheng, Y.; Shroff, N.B.; Srikant, R.; Sinha, P.. "Exploiting large system dynamics for designing simple data center schedulers.". (8. 2015).. Zheng, Y.; Shroff, N.B.; Srikant, R.; Sinha, P. et al.. "Exploiting Large System Dynamics for Designing Simple Data Center Schedulers.". (1. 2015).. Yang, Y.; Liu, J.; Sinha, P.; Shroff, N.B. et al.. "Dynamic User Association and Energy Control in Cellular Networks with Renewable Resources.". (1. 2015).. 2014. Bansal, T.; Sundaresan, K.; Rangarajan, S.; Sinha, P. et al.. "R2D2: Embracing Device-to-Device Communication in Next Generation Cellular Networks.". (1. 2014).. Dong Li*, Zhixue Lu*, Tarun Bansal*, Erik Schilling* and Prasun Sinha. "ForeSight: Mapping Vehicles in Visual Domain and Electronic Domain.". in EEE INFOCOM.. (4. 2014).. Bansal, T.; Sundaresan, K.; Rangarajan, S.; Sinha, P.. "R2D2: Embracing Device-to-Device Communication in Next Generation Cellular Networks.". in 33rd IEEE Annual Conference on Computer Communications (IEEE INFOCOM).. (1. 2014).. Bansal, T.; Chen, B.; Sinha, P.; IEEE,. "FastProbe: Malicious User Detection in Cognitive Radio Networks Through Active Transmissions.". (1. 2014).. Lu, Z.; Sinha, P.; Srikant, R.; IEEE,. "EasyBid: Enabling Cellular Offloading via Small Players.". (1. 2014).. Li, D.; Lu, Z.; Bansal, T.; Schilling, E. et al.. "ForeSight: Mapping Vehicles in Visual Domain and Electronic Domain.". (1. 2014).. Li, D.; Lu, Z.; Bansal, T.; Schilling, E. et al.. "ForeSight: Mapping Vehicles in Visual Domain and Electronic Domain.". in 33rd IEEE Annual Conference on Computer Communications (IEEE INFOCOM).. (1. 2014).. Lu, Z.; Sinha, P.; Srikant, R.. "EasyBid: Enabling Cellular Offloading via Small Players.". in 33rd IEEE Annual Conference on Computer Communications (IEEE INFOCOM).. (1. 2014).. Zhixue Lu*, Prasun Sinha and R. Srikant. "EasyBid: Enabling Cellular Offloading via Small Players.". in EEE INFOCOM.. (4. 2014).. Tarun Bansal*, Bo Chen and Prasun Sinha. "FastProbe: Malicious User Detection in Cognitive Radio Networks Through Active Transmissions.". in EEE INFOCOM.. (4. 2014).. Bansal, T.; Chen, B.; Sinha, P.. "FastProbe: Malicious User Detection in Cognitive Radio Networks Through Active Transmissions.". in 33rd IEEE Annual Conference on Computer Communications (IEEE INFOCOM).. (1. 2014).. Wenjie Zhou*, Tarun Bansal*, Prasun Sinha and Kannan Srinivasan. "BBN: Throughput Scaling in Dense Enterprise WLANs with Blind Beamforming and Nulling.". in ACM MOBICOM.. (9. 2014).. Tarun Bansal*, Wenjie Zhou*, Kannan Srinivasan, and Prasun Sinha. "RobinHood: Sharing the Happiness in a Wireless Jungle.". in HotMobile.. (2. 2014).. Tarun Bansal*, Karthikeyan Sundaresan, Sampath Rangarajan and Prasun Sinha. "R2D2: Embracing Device-to-Device Communication in Next Generation Cellular Networks.". in EEE INFOCOM.. (4. 2014).. 2013. Zhou, W.; Li, D.; Srinivasan, K.; Sinha, P. et al.. "DOMINO: Relative Scheduling in Enterprise Wireless LANs.". (1. 2013).. Zhou, W.; Li, D.; Srinivasan, K.; Sinha, P.. "DOMINO: Relative Scheduling in Enterprise Wireless LANs.". in ACM International Conference on Emerging Networking Experiments and Technologies (CoNEXT).. (1. 2013).. Tarun Bansal*, Bo Chen and Prasun Sinha. "DISCERN: Cooperative Whitespace Scanning in Practical Environments.". in EEE INFOCOM.. (4. 2013).. Wenjie Zhou*, Dong Li*, Kannan Srinivasan, and Prasun Sinha. "DOMINO: Relative Scheduling in Enterprise Wireless LANs.". in Proc. of ACM CoNEXT.. (12. 2013).. Bansal, T.; Chen, B.; Sinha, P.; IEEE,. "DISCERN: Cooperative Whitespace Scanning in Practical Environments.". (1. 2013).. Zheng, Y.; Shroff, N.B.; Sinha, P.; IEEE,. "A New Analytical Technique for Designing Provably Efficient MapReduce Schedulers.". (1. 2013).. Chen, S.; Shroff, N.B.; Sinha, P.. "Energy trading in the smart grid: From end-user's perspective.". (1. 2013).. Zheng, Y.; Shroff, N.B.; Sinha, P.. "A new analytical technique for designing provably efficient MapReduce schedulers.". (9. 2013).. Wenjie Zhou*, Kannan Srinivasan, and Prasun Sinha. "RCTC: Rapid Concurrent Transmission Coordination in Full Duplex Wireless Networks.". in Proc. of IEEE ICNP.. (10. 2013).. Bansal, T.; Chen, B.; Sinha, P.. "DISCERN: Cooperative Whitespace Scanning in Practical Environments.". in 32nd IEEE INFOCOM Conference.. (1. 2013).. Yousi Zheng*, Prasun Sinha, and Ness B. Shroff,. "A New Analytical Technique for Designing Provably Efficient MapReduce Schedulers.". in IEEE INFOCOM.. (4. 2013).. Shengbo Chen*, Prasun Sinha and Ness B. Shroff. "Energy Trading in the Smart Grid: From End-users Perspective.". in Asilomar Conference on Signals, Systems and Computers (Invited Paper).. (11. 2013).. Chen, S.; Shroff, N.B.; Sinha, P.. "Energy Trading in the Smart Grid: From End-user's Perspective.". (1. 2013).. Tarun Bansal*, Bo Chen, Prasun Sinha and Kannan Srinivasan. "Symphony: Cooperative Packet Recovery over the Wired Backbone in Enterprise WLANs.". in ACM MOBICOM.. (9. 2013).. Chen, S.; Shroff, N.B.; Sinha, P.. "Energy Trading in the Smart Grid: From End-user's Perspective.". in 47th Asilomar Conference on Signals, Systems, and Computers.. (1. 2013).. Zheng, Y.; Shroff, N.B.; Sinha, P.. "A New Analytical Technique for Designing Provably Efficient MapReduce Schedulers.". in 32nd IEEE INFOCOM Conference.. (1. 2013).. 2012. Shengbo Chen, Prasun Sinha, Ness Shroff, and Changhee Joo. "A Simple Asymptotically Optimal Energy Allocation and Routing Scheme in Rechargeable Sensor Networks Shengbo Chen, Prasun Sinha, Ness Shroff, and Changhee Joo Proc. of IEEE INFOCOM, Orlando, Florida, Mar 2012.". in IEEE INFOCOM.. (4. 2012).. Yousi Zheng*, Prasun Sinha, and Ness B. Shroff,. "Performance Analysis of Work-Conserving Schedulers in Minimizing the Total Flow Time with Phase Precedence.". in Allerton Conference.. (10. 2012).. Zheng, Y.; Sinha, P.; Shroff, N.B.. "Performance analysis of work-conserving schedulers for minimizing total flow-time with phase precedence.". (12. 2012).. Li, D.; Bansal, T.; Lu, Z.; Sinha, P. et al.. "MARVEL: Multiple Antenna based Relative Vehicle Localizer.". (1. 2012).. Zheng, Y.; Sinha, P.; Shroff, N.B.; IEEE,. "Performance Analysis of Work-Conserving Schedulers for Minimizing Total Flow-Time with Phase Precedence.". (1. 2012).. Chen, S.; Sinha, P.; Shroff, N.B.; IEEE,. "Scheduling Heterogeneous Delay Tolerant Tasks in Smart Grid with Renewable Energy.". (1. 2012).. Dong Li* (co-primary), Tarun Bansal* (co-primary), Zhixue Lu* (co-primary), and Prasun Sinha. "MARVEL: Multiple Antenna based Relative Vehicle Localizer.". in ACM MOBICOM.. (8. 2012).. Chen, S.; Sinha, P.; Shroff, N.B.. "Scheduling heterogeneous delay tolerant tasks in smart grid with renewable energy.". (12. 2012).. Li, D.; Bansal, T.; Lu, Z.; Sinha, P.. "MARVEL: Multiple Antenna based Relative Vehicle Localizer.". in 18th Annual International Conference on Mobile Computing and Networking (MobiCom).. (1. 2012).. Zheng, Y.; Sinha, P.; Shroff, N.B.. "Performance Analysis of Work-Conserving Schedulers for Minimizing Total Flow-Time with Phase Precedence.". in 50th Annual Allerton Conference on Communication, Control, and Computing (Allerton).. (1. 2012).. Chen, S.; Sinha, P.; Shroff, N.B.. "Scheduling Heterogeneous Delay Tolerant Tasks in Smart Grid with Renewable Energy.". in 51st IEEE Annual Conference on Decision and Control (CDC).. (1. 2012).. Shengbo Chen*, Prasun Sinha, and Ness Shroff. "Scheduling Heterogeneous Delay Tolerant Tasks in Smart Grid with Renewable Energy.". in IEEE CDC.. (12. 2012).. 2011. Mayank Jain, Jung II Choi, Tae Min Kim, Dinesh Bharadia, Kannan Srinivasan, Philip Levis, Sachin Katti, Prasun Sinha and Siddharth Seth. "Practical, Real-time Full Duplex Wireless.". in ACM MOBICOM.. (9. 2011).. Chen, S.; Sinha, P.; Shroff, N.B.; Joo, C. et al.. "Finite-Horizon Energy Allocation and Routing Scheme in Rechargeable Sensor Networks.". (1. 2011).. Shengbo Chen*, Prasun Sinha, Ness Shroff, and Changhee Joo. "Finite-Horizon Energy Allocation and Routing Scheme in Rechargeable Sensor Networks.". in IEEE INFOCOM.. (4. 2011).. Chen, S.; Sinha, P.; Shroff, N.B.; Joo, C.. "Finite-horizon energy allocation and routing scheme in rechargeable sensor networks.". (8. 2011).. Chen, S.; Sinha, P.; Shroff, N.B.; Joo, C.. "Finite-Horizon Energy Allocation and Routing Scheme in Rechargeable Sensor Networks.". in IEEE INFOCOM Conference.. (1. 2011).. 2010. Zheng, Z.; Lu, Z.; Sinha, P.; Kumar, S. et al.. "Maximizing the Contact Opportunity for Vehicular Internet Access.". (1. 2010).. Zizhan Zheng*, Zhixue Lu*, Prasun Sinha, and Santosh Kumar. "Maximizing the Contact Opportunity for Vehicular Internet Access.". in IEEE INFOCOM.. (3. 2010).. Ren-Shiou Liu*, Prasun Sinha, and Emre (Can) Koksal. "Joint Energy Management and Resource Allocation in Rechargeable Sensor Networks.". in IEEE INFOCOM.. (3. 2010).. Zheng, Z.; Lu, Z.; Sinha, P.; Kumar, S.. "Maximizing the Contact Opportunity for Vehicular Internet Access.". in Conference on IEEE INFOCOM.. (1. 2010).. 2009. Zizhan Zheng*, Prasun Sinha, and Santosh Kumar. "Alpha Coverage: Bounding the Interconnection Gap for Vehicular Internet Access.". in IEEE INFOCOM Mini-Conference.. (4. 2009).. Zheng, Z.; Sinha, P.. "Buffer Coding for Reliable Transmissions over Wireless Networks.". in IEEE BroadNets Conference 2007.. (1. 2009).. Zheng, Z.; Sinha, P.; Kumar, S.. "Alpha Coverage: Bounding the Interconnection Gap for Vehicular Internet Access.". in IEEE INFOCOM Conference 2009.. (1. 2009).. Balister, P.; Zheng, Z.; Kumar, S.; Sinha, P. et al.. "Trap Coverage: Allowing Coverage Holes of Bounded Diameter in Wireless Sensor Networks.". (1. 2009).. Paul Balister, Zizhan Zheng*, Santosh Kumar, and Prasun Sinha. "Trap Coverage: Allowing Coverage Holesof Bounded Diameter in Wireless Sensor Networks.". in IEEE INFOCOM.. (4. 2009).. Zheng, Z.; Sinha, P.; Kumar, S.; IEEE,. "Alpha Coverage: Bounding the Interconnection Gap for Vehicular Internet Access.". (1. 2009).. Zheng, Z.; Sinha, P.. "Buffer Coding for Reliable Transmissions over Wireless Networks.". (1. 2009).. Zheng,Zizhan; Sinha,Prasun. "Buffer Coding for Reliable Transmissions over Wireless Networks.". in IEEE BroadNets Conference 2007.. (1. 2009).. Balister, P.; Zheng, Z.; Kumar, S.; Sinha, P.. "Trap Coverage: Allowing Coverage Holes of Bounded Diameter in Wireless Sensor Networks.". in IEEE INFOCOM Conference 2009.. (1. 2009).. 2008. Liu, S.; Srivastava, R.; Koksal, C.E.; Sinha, P.. "Achieving energy efficiency with transmission pushbacks in sensor networks.". in 16th International Workshop on Quality of Service (IWQoS 2008).. (1. 2008).. Bejerano, Y.; Lee, D.; Sinha, P.; Zhang, L.. "Approximation algorithms for scheduling real-time multicast flows in Wireless LANs.". in 27th IEEE Conference on Computer Communications (INFOCOM 2008).. (1. 2008).. Liu, R-S.; Fan, K-W.; Sinha, P.. "ClearBurst: Burst scheduling for contention-free transmissions in sensor networks.". in IEEE Wireless Communications and Networking Conference.. (1. 2008).. Kim, J.; Lin, X.; Shroff, N.B.; Sinha, P.. "On maximizing the lifetime of delay-sensitive wireless sensor networks with anycast.". in 27th IEEE Conference on Computer Communications (INFOCOM 2008).. (1. 2008).. Fan, K-W.; Sinha, P.; IEEE,. "Distributed Online Data Aggregation for Large Scale Sensor Networks.". (1. 2008).. Liu, S.; Srivastava, R.; Koksal, C.E.; Sinha, P. et al.. "Achieving energy efficiency with transmission pushbacks in sensor networks.". (1. 2008).. Fan, K-W.; Zheng, Z.; Sinha, P.. "Steady and Fair Rate Allocation for Rechargeable Sensors in Perpetual Sensor Networks.". in 6th ACM Conference on Embedded Networked Sensor Systems.. (1. 2008).. Fan, K-W.; Zheng, Z.; Sinha, P.; ACM,. "Steady and Fair Rate Allocation for Rechargeable Sensors in Perpetual Sensor Networks.". (1. 2008).. Fan, K-W.; Sinha, P.. "Distributed Online Data Aggregation for Large Scale Sensor Networks.". in 5th IEEE International Conference on Mobile Ad-Hoc and Sensor Systems.. (1. 2008).. Ren-Shiou Liu, Kai-Wei Fan, and Prasun Sinha. "ClearBurst: Clearing Congestion in Sensor Networkswith Packet Bursts.". in IEEE Wireless Communications and Networking Conference (WCNC).. (4. 2008).. Joohwan Kim, Xiaojun Lin, Ness Shroff, and Prasun Sinha. "On Maximizing the Lifetime of Delay-SensitiveWireless Sensor Networks with Anycast.". in IEEE International Conference on Computer Communications (INFOCOM).. (4. 2008).. Sha Liu*, Rahul Srivastava, Can Emre Koksal, and Prasun Sinha. "Achieving Energy Efficiency with TransmissionPushbacks in Sensor Networks.". in IEEE International Workshop on Quality of Service (IWQoS).. (6. 2008).. Yigal Bejerano, Dongwook Lee, Prasun Sinha, and Lisa Zhang. "Approximation Algorithms for Scheduling Real-Time Multicast Flows in Wireless LANs.". in IEEE INFOCOM Mini-Conference.. (4. 2008).. Zheng,Zizhan*; Fan,Kai-Wei*; Sinha,Prasun; Wang,Yusu. "Distributed Roadmap Aided Routing in Sensor Networks.". in 5th IEEE International Conference on Mobile Ad-Hoc and Sensor Systems.. (1. 2008).. Kim, J.; Lin, X.; Shroff, N.B.; Sinha, P.. "On maximizing the lifetime of delay-sensitive wireless sensor networks with anycast.". (9. 2008).. Kai-Wei Fan* and Prasun Sinha. "Distributed Online Data Aggregation for Large Scale Sensor Networks.". in IEEE MASS.. (9. 2008).. Kim, J.; Lin, X.; Shroff, N.B.; Sinha, P. et al.. "On maximizing the lifetime of delay-sensitive wireless sensor networks with anycast.". (1. 2008).. Kai-Wei Fan*, Zizhan Zheng* and Prasun Sinha. "Steady and Fair Rate Allocation for Rechargeable Sensorsin Perpetual Sensor Networks.". in ACM SENSYS.. (11. 2008).. Liu, R-S.; Fan, K-W.; Sinha, P.; IEEE,. "ClearBurst: Burst scheduling for contention-free transmissions in sensor networks.". (1. 2008).. Bejerano, Y.; Lee, D.; Sinha, P.; Zhang, L. et al.. "Approximation algorithms for scheduling real-time multicast flows in Wireless LANs.". (1. 2008).. Liu,Ren-Shiou*; Fan,Kai-Wei*; Sinha,Prasun. "ClearBurst: Burst scheduling for contention-free transmissions in sensor networks.". in IEEE Wireless Communications and Networking Conference.. (1. 2008).. 2007. Zizhan Zheng* and Prasun Sinha. "XBC: XOR-based Buffer Coding for Reliable Transmissions over WirelessNetworks.". in IEEE International Conference on Broadband Communications, Networks, and Systems (BROADNETS).. (9. 2007).. Ai Chen*, Dongwook Lee and Prasun Sinha. "Optimizing Multicast Performance in LargeScale WLANs.". in IEEE Conference on Distributed Computing Systems (ICDCS).. (6. 2007).. Liu, S.; Fan, K-W.; Sinha, P.. "CMAC: An energy efficient MAC layer protocol using Convergent packet forwarding for wireless sensor networks.". in 4th Annual IEEE-Communications-Society Conference on Sensor, Mesh and AD HOC Communications and Networks.. (1. 2007).. Kumar, S.; Lai, T.H.; Posner, M.E.; Sinha, P.. "Optimal sleep-wakeup algorithms for barriers of wireless sensors.". in 4th International Conference on Broadband Communications Networks and Systems.. (1. 2007).. Sha Liu*, Kai-Wei Fan*, Prasun Sinha. "Dynamic Sleep Scheduling using Online Experimentation for Wireless Sensor Networks.". in International Workshop on Measurement, Modeling and Performance Analysis of Wireless Sensor Networks (SenMetrics).. (7. 2007).. Zheng, Z.; Sinha, P.. "XBC: XOR-based buffer coding for reliable transmissions over wireless networks.". in 4th International Conference on Broadband Communications Networks and Systems.. (1. 2007).. Apaydin, T.; Vural, S.; Sinha, P.. "On improving data accessibility in storage based sensor networks.". in IEEE International Conference on Mobile Adhoc and Sensor Systems.. (1. 2007).. Sha Liu*, Kai-Wei Fan* and Prasun Sinha. "CMAC: An Energy Efficient MAC Layer Protocol Using Convergent Packet Forwarding for Wireless Sensor Networks.". in IEEE Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON).. (6. 2007).. Liu, S.; Fan, K-W.; Sinha, P.; IEEE,. "CMAC: An energy efficient MAC layer protocol using Convergent packet forwarding for wireless sensor networks.". (1. 2007).. Apaydin, T.; Vural, S.; Sinha, P.; IEEE,. "On improving data accessibility in storage based sensor networks.". (1. 2007).. Kumar, S.; Lai, T.H.; Posner, M.E.; Sinha, P.. "Optimal sleep-wakeup algorithms for barriers of wireless sensors.". (12. 2007).. Kumar, S.; Lai, T.H.; Posner, M.E.; Sinha, P. et al.. "Optimal sleep-wakeup algorithms for barriers of wireless sensors.". (1. 2007).. Apaydin,Tan; Vural,Serdar; Sinha,Prasun. "On Improving Data Accessibility in Storage Based Sensor Networks.". in IEEE International Conference on Mobile Adhoc and Sensor Systems.. (10. 2007).. Santosh Kumar, Ten H. Lai, Marc E. Posner and Prasun Sinha. "Optimal Sleep-Wakeup Algorithms forBarriers of Wireless Sensors.". in IEEE International Conference on Broadband Communications, Networks, and Systems (BROADNETS).. (9. 2007).. Zheng, Z.; Sinha, P.; IEEE,. "XBC: XOR-based buffer coding for reliable transmissions over wireless networks.". (1. 2007).. 2006. Chen, A.; Lee, D.; Chandrasekaran, G.; Sinha, P.. "HIMAC: High throughput MAC layer multicasting in wireless networks.". in IEEE International Conference on Mobile Adhoc and Sensor Systems.. (1. 2006).. Dongwook Lee, JongWon Kim and Prasun Sinha. "Handoff-aware Adaptive Media Streaming in Mobile IP.". in International Conference on Information Networking (ICOIN).. (1. 2006).. Chen, A.; Lee, D.; Chandrasekaran, G.; Sinha, P. et al.. "HIMAC: High throughput MAC layer multicasting in wireless networks.". (1. 2006).. Hongwei Zhang, Anish Arora, and Prasun Sinha. "Learn on the Fly: Beacon-free Link Estimation andRouting in Sensor Network Backbones.". in IEEE International Conference on Computer Communications (INFOCOM).. (4. 2006).. Ai Chen*, Gayathri Chandrasekaran*, Dongwook Lee, and Prasun Sinha. "HIMAC: High Throughput MACLayer Multicasting in Wireless Networks.". in IEEE International Conference on Mobile Ad-Hoc and Sensor Systems (MASS).. (10. 2006).. Fan, K-W.; Liu, S.; Sinha, P.. "On the potential of structure-free data aggregation in sensor networks.". in IEEE INFOCOM 2006 Conference/25th IEEE International Conference on Computer Communications.. (1. 2006).. Fan, K-W.; Liu, S.; Sinha, P.; IEEE,. "On the potential of structure-free data aggregation in sensor networks.". (1. 2006).. Kai-Wei Fan*, Sha Liu*, and Prasun Sinha. "On the Potential of Structure-free Data Aggregation in SensorNetworks.". in IEEE International Conference on Computer Communications (INFOCOM).. (4. 2006).. Kai-Wei Fan, Sha Liu and Prasun Sinha. "Scalable Data Aggregation for Dynamic Events in Sensor Networks.". in ACM SENSYS.. (11. 2006).. 2005. Anish Arora, Rajiv Ramnath, Emre Ertin, Prasun Sinha et. al.. "ExScal: Elements of an Extreme ScaleWireless Sensor Network.". in IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA),.. (8. 2005).. Naik, V.; Arora, A.; Sinha, P.; Zhang, H.. "Sprinkler: A reliable and energy efficient data dissemination service for wireless embedded devices.". (1. 2005).. Vinayak Naik, Anish Arora, Prasun Sinha and Hongwei Zhang,. "Sprinkler: A Reliable and Scalable Data Dissemination Service for Wireless Embedded Devices.". in IEEE Real-Time SystemsSymposium (RTSS).. (1. 2005).. Sinha, P.; Shavitt, Y.; Ranijee, R.; Raz, D. et al.. "FairMAC: Fair sharing of multi-access channels in WLAN hotspots.". (1. 2005).. Dongwook Lee, Gayathri Chandrasekaran*, and Prasun Sinha. "Optimizing Broadcast Load in Mesh Networks using Dual Association.". in IEEE Workshop on Wireless Mesh Networks (WiMesh).. (9. 2005).. Prasun Sinha, Yuval Shavitt, Ramachandran Ramjee, Danny Raz and Sneha Kasera. "FairMAC: FairSharing of Multi-Access Channels in WLAN Hotspots.". in IEEE International Conference on Computer Communications and Networks (ICCCN).. (10. 2005).. Sinha, P.; Shavitt, Y.; Ranijee, R.; Raz, D. et al.. "FairMAC: Fair sharing of multi-access channels in WLAN hotspots.". in 14th International Conference on Computer Communications and Networks.. (1. 2005).. Naik, V.; Arora, A.; Sinha, P.; Zhang, H.. "Sprinkler: A reliable and energy efficient data dissemination service for wireless embedded devices.". in 26th IEEE International Real-Time Systems Symposium.. (1. 2005).. 2004. Dan Berger, Zhenqiang. Ye, Prasun Sinha, Srikanth Krishnamurthy, Michalis Faloutsos and Satish K. Tripathi. "TCP Friendly Medium Access Control for Ad-Hoc Wireless Networks: Alleviating Self Contention.". in IEEE International Conference on Mobile Ad-hoc and Sensor Systems (MASS).. (10. 2004).. 2003. Pilosof, S.; Ramjee, R.; Raz, D.; Shavitt, Y. et al.. "Understanding TCP fairness over wireless LAN.". (1. 2003).. Haiyun Luo, Ramachandran Ramjee, Prasun Sinha, Li Li and Songwu Lu,. "UCAN: A Unified Cellularand Ad-hoc Network Architecture.". in ACM International Conference on Mobile Computing and Networking (MOBICOM).. (9. 2003).. Li Li and Prasun Sinha. "Throughput and Energy Efficiency in Topology-Controlled Multi-hop Wireless Sensor Networks.". in Second ACM International Workshop on Wireless Sensor Networks and Applications (WSNA).. (9. 2003).. Saar Pilosof, Ramachandran Ramjee, Danny Raz, Yuval Shavitt and Prasun Sinha. "Understanding TCPfairness over Wireless LAN.". in IEEE International Conference on Computer Communications (INFOCOM).. (3. 2003).. Pilosof, S.; Ramjee, R.; Raz, D.; Shavitt, Y. et al.. "Understanding TCP fairness over wireless LAN.". in 22nd Annual Joint Conference of the IEEE Computer and Communications Societies.. (1. 2003).. 2002. Sinha, P.; Nandagopal, T.; Venkitaraman, N.; Sivakumar, R. et al.. "WTCP: A reliable transport protocol for wireless wide-area networks.". (1. 2002).. Danny Raz and Prasun Sinha. "On the Power of Offline Data in Approximating Internet Distances.". in DIMACS Workshop on Internet and WWW Measurement, Mapping and Modeling.. (2. 2002).. Sinha, P.; Nandagopal, T.; Venkitaraman, N.; Sivakumar, R. et al.. "WTCP: A reliable transport protocol for wireless wide-area networks.". in 5th Annual ACM/IEEE International Conference on Mobile Computing and Networking (MobiCom 19990.. (1. 2002).. 2001. Prasun Sinha, Raghupathy Sivakumar and Vaduvur Bharghavan,. "Enhancing Ad-hoc Routing with DynamicVirtual Infrastructures.". in IEEE International Conference on Computer Communications (INFOCOM).. (4. 2001).. Sinha, P.; Sivakumar, R.; Bharghavan, V.. "Enhancing ad hoc routing with dynamic virtual infrastructures.". in 20th Annual Joint Conference of the IEEE-Computer-Society/IEEE-Communication-Society.. (1. 2001).. Sinha, P.; Sivakumar, R.; Bharghavan, V.; IEEE, et al.. "Enhancing ad hoc routing with dynamic virtual infrastructures.". (1. 2001).. 2000. Prasun Sinha and Srikanth Krishnamurthy. "Scalable Unidirectional Routing with Zone Routing Protocol(ZRP) Extensions for Mobile Ad-hoc Networks.". in IEEE Wireless Communications and Networking Conference (WCNC).. (9. 2000).. Jeff Monks, Prasun Sinha and Vaduvur Bharghavan. "Limitations of TCP-ELFN for Ad-hoc Networks.". in International Workshop on Mobile Multimedia Communications (MOMUC).. (1. 2000).. 1999. Sinha, P.; Sivakumar, R.; Bharghavan, V.. "CEDAR: a core-extraction distributed ad hoc routing algorithm.". in 18th Annual Joint Conference of the IEEE Computer and Communications Societies (INFOCOM 99).. (1. 1999).. Prasun Sinha, Narayanan Venkitaraman, Raghupathy Sivakumar and Vaduvur Bharghavan. "WTCP: AReliable Transport Protocol for Wireless Wide-Area Networks.". in ACM International Conference on Mobile Computing and Networking (MOBICOM).. (1. 1999).. Prasun Sinha, Narayanan Venkitaraman, Raghupathy Sivakumar and Vaduvur Bharghavan. "A WirelessTransmission Control Protocol for CDPD.". in Proc. of IEEE Wireless Communications and Networking Conference (WCNC).. (9. 1999).. Prasun Sinha, Raghupathy Sivakumar and Vaduvur Bharghavan. "MCEDAR: Multicast extensions to Core-Extraction Distributed Ad-hoc Routing Algorithm.". in IEEE Wireless Communications and Networking Conference (WCNC).. (9. 1999).. Prasun Sinha, Raghupathy Sivakumar and Vaduvur Bharghavan. "CEDAR: a Core-Extraction Distributed Ad-hoc Routing algorithm.". in IEEE International Conference on Computer Communications (INFOCOM).. (4. 1999).. Thyagarajan Nandagopal, Tan-Eun Kim, Prasun Sinha and Vaduvur Bharghavan. "Service DifferentiationThrough End-to-end Rate Control in Low Bandwidth Wireless Packet Networks.". in IEEE International Workshop on Mobile Multimedia Communications (MOMUC).. (11. 1999).. Sinha, P.; Sivakumar, R.; Bharghavan, V.; IEEE', et al.. "CEDAR: a core-extraction distributed ad hoc routing algorithm.". (1. 1999).. 1998. Prasun Sinha and Jianchang Mao. "Combining Multiple OCRs for Optimizing Word Recognition.". in 14th International Conference on Pattern Recognition (ICPR).. (1. 1998).. Jianchang Mao, Prasun Sinha and Mohiuddin Moidin. "A System for Cursive Handwritten Address Recognition.". in 14th International Conference on Pattern Recognition (ICPR).. (8. 1998).. Mao, J.C.; Sinha, P.; Mohiuddin, K.. "A system for cursive handwritten address recognition.". (1. 1998).. Sinha, P.; Mao, J.C.. "Combining multiple OCRs for optimizing word recognition.". (1. 1998).. Mao, J.C.; Sinha, P.; Mohiuddin, K.. "A system for cursive handwritten address recognition.". in 14th International Conference on Pattern Recognition.. (1. 1998).. Sinha, P.; Mao, J.C.. "Combining multiple OCRs for optimizing word recognition.". in 14th International Conference on Pattern Recognition.. (1. 1998).. 1996. Kiran Kumar, Prasun Sinha and P. C. P. Bhatt. "Distributed and Object Oriented Geographical InformationSystem (DO GIS).". in 7th International Symposium on Spatial Data Handling (SDH).. (8. 1996).. Unknown. Shengbo Chen*, Prasun Sinha and Ness B. Shroff,. "Energy Trading in the Smart Grid: From End-user's Perspective.". in Asilomar Conference on Signals, Systems and Computers.. Shengbo Chen*, Prasun Sinha and Ness B. Shroff. "Energy Trading in the Smart Grid: From End-user's Perspective.". in Asilomar Conference on Signals, Systems and Computers.. Patents. Kumar, Santosh; Sinha, Prasun; Plarre, Kurt; Mitra, Somnath; Zheng, Zizhan; Guha, Santanu; Ghosh, Animikh; Dutta, Prabal; Krishna, Bhagavathy;.. "Theft Detection Systems and Methods.". Krishnamurthy,Srikanth; Sinha,Prasun; Dao,Son,K.. "Scalable unidirectional routing with zone routing protocol extensions for mobile AD-HOC networks.". Patent number: 6990075. Shengbo Chen*, Tarun Bansal*, Yin Sun, Prasun Sinha and Ness Shroff,.. "Energy Efficient Control for Wireless Devices.". Kasera,Sneha; Ramjee,Ramachandran; Raz,Danny; Shavitt,Yuval; Sinha,Prasun.. "Fair sharing of multi-access channels.". Patent number: 7317686. "Scalable unidirectional routing with zone routing protocol (ZRP) extensions for mobile ad-hoc networks.". Department ofComputer Science and Engineering395 Dreese Laboratories2015 Neil AvenueColumbus, OH 43210-1277(614) 292-5813 Phone(614) 292-2911 Fax. Support CSE. Invest in a Buckeye. Your gift will make a difference.. Connect. facebookyoutube. 2019 The Ohio State UniversityAccessibilityPrivacy PolicyHelpLogin. diff --git a/src/data/compiled_bios/4074.txt b/src/data/compiled_bios/4074.txt new file mode 100644 index 0000000000..9c2e0ccca8 --- /dev/null +++ b/src/data/compiled_bios/4074.txt @@ -0,0 +1 @@ +Paul Sivilotti. Associate Professor, Computer Science & Engineering. 695 Dreese Laboratories. 2015 Neil Ave. Columbus,. OH. 43210. 614-292-5835. sivilotti.1@osu.edu. http://web.cse.ohio-state.edu/~paolo. Honors. April, 2015-April, 2016. Joel and Ruth Spira Excellence in Teaching Award.. May, 2012. Alumni Award for Distinguished Teaching.. January, 2010-January, 2011. Department of Computer Science and Engineering Outstanding Teaching Award.. January, 2009-January, 2010. Faculty invitee to OSU's "President's Salute to Undergraduate Acheivement".. January, 2010. Invitation to Foundations of Engineering Education Symposium.. Journal Articles2004. J. Hallstrom, N. Sridhar, P. Sivilotti, and A. Arora,. 2004,. "A container-based approach to object oriented product lines.". Journal of Object Technology. 2001. Krishnamurthy, P.; Sivilotti, P.A.G.,. 2001,. "The specification and testing of quantified progress properties in distributed systems.". Proceedings - International Conference on Software Engineering. 201-210 -. 201-210.. Presentations. "Synchronous Observers for Automated Validation of Reactive Embedded Systems.". 2011,. Presented at Denman Undergraduate Research Forum,. "The Maximality of Distributed Programs: Possibilities and Impossibilities.". 2013,. Presented at Distinguished Seminar Series, Queen's University School of Computing,. "The Maximality of Distributed Programs: Possibilities and Impossibilities.". 2013,. Presented at Invited Talk,. "Kinesthetic Learning Activities in an Upper-Division Computer Science Course.". 2010,. Presented at Frontiers of Engineering Education (National Academy of Engineering),. Papers in Proceedings2017. Heym, W.; Sivilotti, P.A.G.; Bucci, P.; Sitaraman, M. et al.. "Integrating Components, Contracts, and Reasoning in CS Curricula with RESOLVE: Experiences at Multiple Institutions.". (11. 2017).. Heym, W.; Sivilotti, P.A.G.; Bucci, P.; Sitaraman, M. et al.. "Integrating Components, Contracts, and Reasoning in CS Curricula with RESOLVE: Experiences at Multiple Institutions.". (12. 2017).. Heym, W.; Sivilotti, P.A.G.; Bucci, P.; Sitaraman, M. et al.. "Integrating Components, Contracts, and Reasoning in CS Curricula with RESOLVE: Experiences at Multiple Institutions.". in 30th IEEE Conference on Software Engineering Education and Training (CSEE&T).. (1. 2017).. Heym, W.; Sivilotti, P.A.G.; Bucci, P.; Sitaraman, M. et al.. "Integrating Components, Contracts, and Reasoning in CS Curricula with RESOLVE: Experiences at Multiple Institutions.". (1. 2017).. 2016. Wayne Heym, Paolo Sivilotti, Joseph E. Hollingsworth, Joan Krone, Murali Sitaraman and Nigamanth Sridhar. "Integrating Components, Contracts, and Reasoning in CS Curricula with RESOLVE: Experiences at Multiple Institutions.". (5. 2016).. 2012. Pavlic, T.P.; Peddi, S.P.; Sivilotti, P.A.G.; Weide, B.W.. "Poster abstract: Getting out of the way - Safety verification without compromise.". (5. 2012).. Pavlic, T.P.; Peddi, S.P.; Sivilotti, P.A.G.; Weide, B.W. et al.. "Poster Abstract: Getting Out of the Way - Safety Verification without Compromise.". (1. 2012).. Pavlic, T.P.; Peddi, S.P.; Sivilotti, P.A.G.; Weide, B.W.. "Poster Abstract: Getting Out of the Way - Safety Verification without Compromise.". in 3rd IEEE/ACM International Conference on Cyber-Physical Systems (ICCPS).. (1. 2012).. 2010. Sivilotti,Paolo,AG; Lang,Matthew. "Interfaces First (and Foremost) With Java.". in 41st ACM Technical Symposium on Computer Science Education.. (3. 2010).. Sivilotti, P.A.G.; Lang, M.. "Interfaces first (and foremost) with Java.". (5. 2010).. 2009. Lang,Matthew; Sivilotti,Paolo,AG. "On the Impossibility of Maximal Scheduling for Strong Fairness with Interleaving.". in 29th IEEE International Conference on Distributed Computing Systems.. (6. 2009).. Lang, M.; Sivilotti, P.A.G.. "On the impossibility of maximal scheduling for strong fairness with interleaving.". (10. 2009).. 2008. Sivilotti, P.A.G.; Laugel, S.A.. "Scratching the surface of advanced topics in software engineering: A workshop module for middle school students.". (12. 2008).. 2007. Lang, M.; Sivilotti, P.A.G.. "A distributed maximal scheduler for strong fairness.". (12. 2007).. Sivilotti, P.A.G.; Pike, S.M.. "The suitability of kinesthetic learning activities for teaching distributed algorithms.". (10. 2007).. 2006. Sridhar, N.; Hallstrom, J.O.; Sivilotti, P.A.G.. "Container-based component deployment: A case-study.". (12. 2006).. 2005. Buehrer, G.; Weide, B.W.; Sivilotti, P.A.G.. "Using parse tree validation to prevent SQL injection attacks.". (12. 2005).. Moore, B.T.; Sivilotti, P.A.G.. "Plausible clocks with bounded inaccuracy.". (12. 2005).. 2004. Sivilotti, P.A.G.; Weide, B.W.. "Research, teaching, and service: The miniconference as a model for CS graduate seminar courses.". (3. 2004).. Bohn, C.A.; Sivilotti, P.A.G.; Weide, B.W.. "Designing the control of a UAV fleet with model checking.". in 4th Annual Conference on Cooperative Control and Optimization.. (1. 2004).. Sivilotti, P.A.G.; Weide, B.W.. "Research, teaching, and service: The miniconference as a model for CS graduate seminar courses.". (6. 2004).. Pike, S.M.; Sivilotti, P.A.G.. "Dining philosophers with crash locality 1.". (6. 2004).. Bohn,C,A; Sivilotti,P,AG; Weide,B,W. "Designing the control of a UAV fleet with model checking.". in 4th Annual Conference on Cooperative Control and Optimization.. (1. 2004).. Bohn, C.A.; Sivilotti, P.A.G.; Weide, B.W.. "Designing the control of a UAV fleet with model checking.". (1. 2004).. 2003. Aydin, N.; Sivilotti, P.A.G.. "Remote belief: Preserving volition for loosely coupled processes.". (7. 2003).. Sivilotti, P.A.G.; Demirbas, M.. "Introducing middle school girls to fault tolerant computing.". (7. 2003).. 2001. Jagannathan, R.; Sivilotti, P.A.G.. "Increasing client-side confidence in remote component implementations.". (12. 2001).. 2000. Giles, C.P.; Sivilotti, P.A.G.. "A tool for testing liveness in distributed object systems.". (1. 2000).. 1998. Mani Chandy, K.; Sivilotti, P.A.G.; Kiniry, J.R.. "A cottage industry of software publishing: Implications for theories of composition.". (1. 1998).. Department ofComputer Science and Engineering395 Dreese Laboratories2015 Neil AvenueColumbus, OH 43210-1277(614) 292-5813 Phone(614) 292-2911 Fax. Support CSE. Invest in a Buckeye. Your gift will make a difference.. Connect. facebookyoutube. 2019 The Ohio State UniversityAccessibilityPrivacy PolicyHelpLogin. diff --git a/src/data/compiled_bios/4075.txt b/src/data/compiled_bios/4075.txt new file mode 100644 index 0000000000..559951e665 --- /dev/null +++ b/src/data/compiled_bios/4075.txt @@ -0,0 +1 @@ +Neelam Soundarajan. Associate Professor, Computer Science & Engineering. 579 Dreese Laboratories. 2015 Neil Ave. Columbus,. OH. 43210. 614-292-1444. soundarajan.1@osu.edu. http://web.cse.ohio-state.edu/~neelam. Honors. April, 2016. CSE teaching award.. May, 2012. CSE Service Award.. May, 2006. CSE Service Award.. May, 2006. Boyer Award for Excellence in Undergraduate Teaching Innovation.. May, 2003. Best paper award.. Musicians Institute.. Joel and Ruth Spira Teaching Award.. Chapters1999. 1999.. "Understanding frameworks.". In Building Application Frameworks: Object-Oriented Foundations of Framework Design,. edited by M Fayad,. Journal Articles2014. N. Soundarajan, R. Gustafson,. 2014,. "Learning Objects for Collaborative Learning in Engineering Programs.". International Journal of Collaborative Enineering. 1,. no. 3/4,. 353-370 -. 353-370.. 2012. Neelam Soundarajan,. 2012,. "A novel sustainable model of assessment of program outcomes for a CSE program.". Computers in Education Journal. 3,. no. 2,. 59-71 -. 59-71.. Neelam Soundarajan,. 2012,. "Position paper: Program objectives, outcomes, and assessments: A call to rethinking of ABET criteria.". Computers in Education Journal. 3,. no. 2,. 79-82 -. 79-82.. 2004. Soundarajan,N; Fridella,S,. 2004,. "Incremental reasoning for object oriented systems.". FROM OBJECT-ORIENTATION TO FORMAL METHODS. 2635,. 302-333 -. 302-333.. 2001. N Soundarajan, S Fridella,. 2001,. "Understanding OO frameworks and applications.". Informatica. 25,. 297-308 -. 297-308.. 1988. Soundararajan,N; COSTELLO,R,L,. 1988,. "RESPONSIVE SEQUENTIAL PROCESSES.". SIGPLAN NOTICES. 23,. no. 3,. 53-62 -. 53-62.. 1987. M Joseph, A Moitra, N Soundarajan,. 1987,. "Proof rules for fault tolerant distributed programs.". Science of Computer Programming. 8,. 43-67 -. 43-67.. A Sobel, N Soundarajan,. 1987,. "A proof system for Distributed Processes.". Acta Informatica. 8,. 305-332 -. 305-332.. 1986. N Soundarajan,. 1986,. "Total correctness of CSP programs.". Acta Informatica. 23,. 193-215 -. 193-215.. 1984. N Soundarajan,. 1984,. "Axiomatic semantics of CSP.". ACM Trans. on Prog. Lang. and Systems. 6,. 647-662 -. 647-662.. N Soundarajan,. 1984,. "Denotational semantics of CSP.". Theoretical Computer Science. 33,. 279-304 -. 279-304.. N Soundarajan,. 1984,. "A proof technique for parallel programs.". Theoretical Computer Science. 31,. 13-29 -. 13-29.. 1983. N Soundarajan,. 1983,. "Correctness proofs of CSP programs.". Theoretical Computer Science. 24,. 131-141 -. 131-141.. 1979. N Soundarajan,. 1979,. "Axiomatic proofs of total correctness of programs.". Information Processing Letters. 8,. 274-277 -. 274-277.. Unknown. Soundarajan, N, Gustafson, R,. Learning Objects for Collaborative Learning in Engineering Programs.. International Journal of Collaborative Enineering. Papers in Proceedings2016. S. Joshi, N. Soundarajan. "Exploring conflict-based collaborative learning in engineering courses.". in ASEE North Central Section Conference.. (3. 2016).. S. Joshi, N. Soundarajan, ; Soundarajan, N.. "CONSIDER: A Novel Approach to Conflict-Driven Collaborative Learning in Engineering Courses.". in 2016 ASEE Annual Conference & Exposition, New Orleans, Louisiana, 2016.. (6. 2016).. S. Joshi, N. Soundarajan, ; Soundarajan, N.. "Enabling deep conceptual learning in computing courses through conflict-based collaborative learning.". in IEEE Frontiers in Education Conference (FiE), pp. 1-9, IEEE, 2016... (6. 2016).. 2015. S. Joshi, N. Soundarajan, R. Ramnath. "Conflict-Driven Cooperative-Learning in Computing Courses (Abstract Only).". in Proc. of the 46th ACM Symp. on Computer Sc. Education (SIGCSE).. (3. 2015).. 2014. N. Soundarajan, S. Joshi, R. Ramnath. "A novel approach to collaborative learning in the flipped classroom.". in Proc. of the ASEE Annual Conference.. (6. 2014).. 2013. Soundarajan, N.. "Work-in-progress: A novel approach to collaborative learning in engineering programs.". in ASEE Annual Conference.. (1. 2013).. Soundarajan, N.. "Work-in-progress: A novel approach to collaborative learning in engineering programs.". (9. 2013).. Soundarajan, N. "Work-in-progress: A novel approach to collaborative learning in engineering programs.". in Annual Conf of the American Society for Engineering Edu... (5. 2013).. Soundarajan, N.; ASEE,. "Work-in-progress: A novel approach to collaborative learning in engineering programs.". (1. 2013).. Soundarajan, N; Ramnath, R; Weide, B. "A multi-pronged approach to nurturing IT entrepreneurs.". in Annual Conf of the American Society for Engineering Edu... (5. 2013).. 2011. Soundarajan, N.; Bronish, D.; Khatchadourian, R.. "Formalizing reusable aspect-oriented concurrency control.". (12. 2011).. N Soundarajan, R Khatchadourian, D Bronish. "Formalizing reusable aspect-oriented concurrency control.". in Int. Conf. on Software Eng. & Knowledge Eng... (6. 2011).. Soundarajan, N.; ASEE,. "WORK-IN-PROGRESS: COLLABORATIVE AND REFLECTIVE LEARNING IN ENGINEERING PROGRAMS.". (1. 2011).. Neelam Soundarajan. Work in progress: Collaborative and Reflective Learning in Engineering Programs.. in Annual Conference of the American Society for Engineering Education.. http://www.asee.org/conferences-and-events/conferences/annual-conference/2011,. (6. 2011).. Soundarajan, N.. "Work in progress - Collaborative and reflective learning in engineering programs.". (12. 2011).. Soundarajan, N.. "WORK-IN-PROGRESS: COLLABORATIVE AND REFLECTIVE LEARNING IN ENGINEERING PROGRAMS.". in ASEE Annual Conference and Exposition.. (1. 2011).. 2010. J Bollinger and K Yackovich and R Ramnath and J Ramanathan and N Soundarajan. "From student to teacher: Transforming industry sponsored projects into engaging curricular materials.". in Proc. of IEEE/IBM Conf. on Transforming Engineering Education.. (1. 2010).. 2009. Soundarajan, N.. "Direct assessment of program outcomes in a computer science and engineering program.". (9. 2009).. N Soundarajan. "Direct assessment of program outcomes in a Computer Science and Engineering program.". in ASEE Annual Conference.. (6. 2009).. N Soundarajan and R Khatchadourian. "Specifying reusable aspects.". in Proceedings of the 5th Asian Workshop on Aspect Oriented and Modular Software Dev... (1. 2009).. Hallstrom, J.O.; Soundarajan, N.. "Reusing patterns through design refinement.". (11. 2009).. J Hallstrom and N Soundarajan. "Reusing patterns through design refinement.". in Proc. of International Conf. on Software Reuse.. (1. 2009).. Hallstrom, J.O.; Soundarajan, N.. "Reusing Patterns through Design Refinement.". (1. 2009).. Hallstrom, J.O.; Soundarajan, N.. "Reusing Patterns through Design Refinement.". in 11th International Conference on Software Reuse (ICSR 2009).. (1. 2009).. 2008. J Hallstrom, N Soundarajan. "Formalizing design patterns: a comprehensive contract for Composite.". in Seventh Int. Workshop on Spec. and Verif. of Component-Based Systems (SAVCBS).. (11. 2008).. Khatchadourian, R.; Dovland, J.; Soundarajan, N.. "Enforcing behavioral constraints in evolving aspect-oriented programs.". (12. 2008).. R Khatchadourian, J Dovland, N Soundarajan. Enforcing behavioral constraints in evolving aspect-oriented programs.. in Seventh Workshop on Foundations of Aspect-Oriented Languages.. http://dl.acm.org/citation.cfm?id=1394496&picked=prox,. (3. 2008).. 2007. N Soundarajan, R Khatchadourian, J Dovland. "Reasoning about the behavior of aspect-oriented programs.". in Softw. Eng. Appl... (6. 2007).. Soundarajan, N.; Dovland, J.; Hallstrom, J.O.. "Tracing correct usage of design patterns.". (1. 2007).. N Soundarajan, J Dovland, J Hallstrom. "Tracing correct usage of design patterns.". in Softw. Eng. Appl... (6. 2007).. Soundarajan, N.; Hallstrom, J.O.; Delibas, A.; Shu, G. et al.. "Testing patterns.". (1. 2007).. Soundarajan,Neelam; Hallstrom,Jason,O; Delibas,Adem; Shu,Guoqiang. "Testing patterns.". in 31st Annual IEEE Software Engineering Workshop.. (1. 2007).. N Soundarajan. "Direct Assessment of Criterion 3 Outcomes.". in Best Assessment Processes Symp. IX.. (4. 2007).. Soundarajan, N.; Khatchadourian, R.; Dovland, J.. "Reasoning about the behavior of aspect-oriented programs.". (1. 2007).. Soundarajan, N.; Hallstrom, J.O.; Delibas, A.; Shu, G.. "Testing patterns.". (12. 2007).. Soundarajan, N.; Hallstrom, J.O.; Delibas, A.; Shu, G.. "Testing patterns.". in 31st Annual IEEE Software Engineering Workshop.. (1. 2007).. 2006. Hallstrom, J.O.; Soundarajan, N.; Tyler, B.. "Amplifying the benefits of design patterns: From specification through implementation.". (1. 2006).. Hallstrom, J.O.; Dalton, A.R.; Soundarajan, N.. "Parallel monitoring of design pattern contracts.". (12. 2006).. Hallstrom,J,O; Soundarajan,N; Tyler,B. "Amplifying the benefits of design patterns: From specification through implementation.". in 9th International Conference on Fundamental Approaches to Software Engineering.. (1. 2006).. Tyler, B.; Hallstrom, J.O.; Soundarajan, N.. "A comparative study of monitoring tools for pattern-centric behavior.". in 30th Annual NASA/IEEE Software Engineering Workshop.. (1. 2006).. Tyler, B.; Hallstrom, J.O.; Soundarajan, N.. "A comparative study of monitoring tools for pattern-centric behavior.". (1. 2006).. Hallstrom, J.O.; Soundarajan, N.; Tyler, B.. "Amplifying the benefits of design patterns: From specification through implementation.". in 9th International Conference on Fundamental Approaches to Software Engineering.. (1. 2006).. Tyler, B.; Soundarajan, N.. "Automatic monitoring of control-flow through inheritance hierarchies.". (12. 2006).. B Tyler, N Soundarajan. "Automatic Monitoring of Control-flow Through Inheritance Hierarchies.". in 18th Int. Conf. on Software Eng. and Knowledge Eng. (SEKE 2006).. (7. 2006).. Soundarajan, N.; Hallstrom, J.O.. "Pattern-based system evolution: A case-study.". (12. 2006).. N Soundarajan, J Hallstrom. "Pattern-Based System Evolution: A Case-Study.". in 18th Int. Conf. on Software Eng. and Knowledge Eng. (SEKE 2006).. (7. 2006).. Tyler, B.; Hallstrom, J.O.; Soundarajan, N.. "A comparative study of monitoring tools for pattern-centric behavior.". (12. 2006).. Tyler,Benjamin; Hallstrom,Jason,O; Soundarajan,Neelam. "A comparative study of monitoring tools for pattern-centric behavior.". in 30th Annual NASA/IEEE Software Engineering Workshop.. (1. 2006).. J Hallstrom, A Dalton, N Soundarajan. "Parallel Monitoring of Design Pattern Contracts.". in 18th Int. Conf. on Software Eng. and Knowledge Eng. (SEKE 2006).. (7. 2006).. Hallstrom, J.O.; Soundarajan, N.; Tyler, B.. "Amplifying the benefits of design patterns: From specification through implementation.". (7. 2006).. 2005. N Soundarajan. "From Assessment Results to Program Improvements.". in Best Assessment Processes Symp. VIII.. (4. 2005).. 2004. Tyler,B; Soundarajan,N. "Testing framework components.". in 7th International Symposium on Component-Based Software Engineering.. (1. 2004).. Soundarajan, N.; Hallstrom, J.O.. "Responsibilities and rewards: Specifying design patterns.". in 26th International Conference on Software Engineering (ICSE 2004).. (1. 2004).. Tyler, B.; Soundarajan, N.. "Testing framework components.". in 7th International Symposium on Component-Based Software Engineering.. (1. 2004).. J Hallstrom, N Soundarajan. "Formal specification of design patterns: A case study.". in 8th IASTED Int. Conf. on Softw. Eng. and App... (11. 2004).. Soundarajan, N.; Hallstrom, J.O.. "Responsibilities and rewards: Specifying design patterns.". (9. 2004).. Hallstrom, J.O.; Soundarajan, N.. "Formal specification of design patterns: A case study.". (12. 2004).. Tyler, B.; Soundarajan, N.. "Black-box testing of grey-box behavior.". (12. 2004).. Tyler, B.; Soundarajan, N.. "Black-box testing of grey-box behavior.". in 3rd International Workshop on Formal Approaches to Testing of Software (FATES 2003).. (1. 2004).. Tyler, B.; Soundarajan, N.. "Black-box testing of grey-box behavior.". (1. 2004).. Tyler, B.; Soundarajan, N.. "Testing framework components.". (12. 2004).. Soundarajan,N; Hallstrom,J,O. "Responsibilities and rewards: Specifying design patterns.". in 26th International Conference on Software Engineering (ICSE 2004).. (1. 2004).. Tyler, B.; Soundarajan, N.. "Testing framework components.". (1. 2004).. Soundarajan, N.; Hallstrom, J.O.; society, I.C.. "Responsibilities and rewards: Specifying design patterns.". (1. 2004).. Tyler,B; Soundarajan,N. "Black-box testing of grey-box behavior.". in 3rd International Workshop on Formal Approaches to Testing of Software (FATES 2003).. (1. 2004).. 2003. N Soundarajan, T H Lai. "Distributed mutual exclusion.". in 15th IASTED Int. Conf. on Parallel and Distributed Computing and Systems (PDCS).. (11. 2003).. Soundarajan, N.; Lai, T.H.. "Distributed Mutual Exclusion.". (12. 2003).. 2001. Soundarajan, N.; Tyler, B.. "Specification-based incremental testing of object oriented systems.". in 39th International Conference on Technology of Object-Oriented Languages and Systems (TOOLS 39).. (1. 2001).. Soundarajan,N; Tyler,B. "Specification-based incremental testing of object oriented systems.". in 39th International Conference on Technology of Object-Oriented Languages and Systems (TOOLS 39).. (1. 2001).. Soundarajan, N.; Tyler, B.. "Specification-based incremental testing of object oriented systems.". (1. 2001).. Soundarajan, N.. "Objectives, outcomes, and assessment mechanisms for CS programs.". (1. 2001).. N Soundarajan. "Objectives, outcomes, and assessment mechanisms for CS programs.". in 31st ASEE/IEEE Frontiers in Education Conference.. (10. 2001).. Soundarajan, N.; Tyler, B.. "Specification-based incremental testing of object oriented systems.". (1. 2001).. 2000. Soundarajan, N.; Fridella, S.. "Exceptions in OO languages: Using them and reasoning about them.". (1. 2000).. Soundarajan, N.; Fridella, S.. "Behavioral subtyping and behavioral enrichment of multimethods.". (1. 2000).. Soundarajan, N.; Fridella, S.. "Framework-based applications: From incremental development to incremental reasoning.". (1. 2000).. Soundarajan, N.; Fridella, S.. "Framework-based applications: From incremental development to incremental reasoning.". (1. 2000).. Soundarajan,N; Fridella,S. "Framework-based applications: From incremental development to incremental reasoning.". in 6th International Conference on Software Reuse (ICSR6).. (1. 2000).. Soundarajan,N; Fridella,S. "Behavioral subtyping and behavioral enrichment of multimethods.". in 34th International Conference on Technology of Object-Oriented Languages and Systems (TOOLS 34).. (1. 2000).. Soundarajan,N; Fridella,S. "Exceptions in OO languages: Using them and reasoning about them.". in 5th Ada-Europe International Conference on Reliable Software Technologies.. (1. 2000).. Soundarajan, N.; Fridella, S.. "Exceptions in OO languages: Using them and reasoning about them.". in 5th Ada-Europe International Conference on Reliable Software Technologies.. (1. 2000).. Soundarajan, N.; Fridella, S.. "Framework-based applications: From incremental development to incremental reasoning.". in 6th International Conference on Software Reuse (ICSR6).. (1. 2000).. Soundarajan, N.; Fridella, S.. "Behavioral subtyping and behavioral enrichment of multimethods.". in 34th International Conference on Technology of Object-Oriented Languages and Systems (TOOLS 34).. (1. 2000).. Soundarajan, N.; Fridella, S.. "Exceptions in OO languages: Using them and reasoning about them.". (1. 2000).. Soundarajan, N.; Fridella, S.. "Behavioral subtyping and behavioral enrichment of multimethods.". (1. 2000).. 1999. N Soundarajan, S Fridella. "Modeling Exceptional Behavior.". in Second Int. Conf. on the Unified Modeling Language.. (11. 1999).. Soundarajan,N; Fridella,S. "Modeling exceptional behavior.". in 2nd International Conference on the Unified Modeling Language (UML 99).. (1. 1999).. N Soundarajan. "Engineering Criteria 2000: The Impact on Engineering Educatio.". in 29th ASEE/IEEE Frontiers in Education Conference.. (11. 1999).. Soundarajan, N.; Fridella, S.. "Modeling exceptional behavior.". (1. 1999).. Soundarajan, N.; Fridella, S.. "Modeling exceptional behavior.". in 2nd International Conference on the Unified Modeling Language (UML 99).. (1. 1999).. Soundarajan, N.; Fridella, S.. "Modeling exceptional behavior.". (1. 1999).. 1998. Soundarajan, N.; Fridella, S.. "Inheriting and modifying behavior.". (1. 1998).. Soundarajan, N.; Fridella, S.. "Inheritance: From code reuse to reasoning reuse.". in 5th International Conference on Software Reuse.. (1. 1998).. N Soundarajan, S Fridella. "Inheritance: From code reuse to reasoning reuse.". in Fifth International Conference on Software Reuse.. (6. 1998).. Soundarajan, N.; Fridella, S.. "Inheritance: From code reuse to reasoning reuse.". (1. 1998).. Soundarajan, N.; Fridella, S.. "Reasoning about polymorphic behavior.". (1. 1998).. Soundarajan, N.; Fridella, S.. "Reasoning about polymorphic behavior.". in Conference on Technology of Object-Oriented Languages (TOOLS 26).. (1. 1998).. Soundarajan,N; Fridella,S. "Inheritance: From code reuse to reasoning reuse.". in 5th International Conference on Software Reuse.. (1. 1998).. Soundarajan, N.; Fridella, S.. "Inheriting and modifying behavior.". in Conference on Technology of Object-Oriented Languages and Systems (TOOLS 23).. (1. 1998).. Soundarajan,N; Fridella,S. "Inheriting and modifying behavior.". in Conference on Technology of Object-Oriented Languages and Systems (TOOLS 23).. (1. 1998).. Soundarajan,N; Fridella,S. "Reasoning about polymorphic behavior.". in Conference on Technology of Object-Oriented Languages (TOOLS 26).. (1. 1998).. 1997. N Soundarajan, S Fridella. "Inheriting and Modifying behavior.". in Technology of Object Oriented Languages (TOOLS 25).. (11. 1997).. N Soundarajan. "On the specification, inheritance, and verification of synchronization constraints.". in Formal Methods for Open Object based Distributed Systems (FMOODS).. (7. 1997).. YM Kim, TH Lai, N Soundarajan. "A Wait-Free Probe Algorithm for Distributed Deadlock Detection and Resolution.". in Conf. on Parallel and Dist. Systems.. (12. 1997).. Unknown. N. Soundarajan, S. Joshi, R. Ramnath. "Conflict-Driven Cooperative-Learning in Engineering Courses.". in Proc. of the ASEE Annual Conference.. Soundarajan, N, Joshi, S, Ramnath, R. Work-in-progress: A novel approach to collaborative learning in the flipped classroom.. in ASEE Annual Conference.. http://www.asee.org/conferences-and-events/conferences/annual-conference/2014,. Soundarajan, N. "Work-in-progress: A novel approach to collaborative learning in engineering programs.". in Annual Conf of the American Society for Engineering Edu... N. Soundarajan, S. Joshi, R. Ramnath. "Conflict-Driven Cooperative-Learning in Engineering Courses.". in Proc. of the ASEE Annual Conference.. S. Joshi, N. Soundarajan, J. Morris, ; Soundarajan, N.. "Innovative Approach to Online Argumentation in Computing and Engineering Courses.". in IEEE Frontiers in Education Conference (FiE), 2017 (submitted).. Department ofComputer Science and Engineering395 Dreese Laboratories2015 Neil AvenueColumbus, OH 43210-1277(614) 292-5813 Phone(614) 292-2911 Fax. Support CSE. Invest in a Buckeye. Your gift will make a difference.. Connect. facebookyoutube. 2019 The Ohio State UniversityAccessibilityPrivacy PolicyHelpLogin. diff --git a/src/data/compiled_bios/4076.txt b/src/data/compiled_bios/4076.txt new file mode 100644 index 0000000000..647cc4e71c --- /dev/null +++ b/src/data/compiled_bios/4076.txt @@ -0,0 +1 @@ +Christopher Stewart. Associate Professor, Computer Science & Engineering. 793 Dreese Laboratories. 2015 Neil Ave. Columbus,. OH. 43210. 614-292-7325. stewart.962@osu.edu. http://web.cse.ohio-state.edu/~cstewart. Honors. January, 2014-January, 2019. Early Career Award.. September, 2014. Revision Path Interview.. November, 2013. Co-Chair of the ACM Workshop on Diversity in Computer Systems Research (Nominated by Steering Committee).. March, 2012. Selected to attend the NSF Career Workshop.. May, 2011. Third Best Paper.. August, 2010. Best Paper.. Journal Articles2012. David Chiu, Christopher Stewart, and Bart McManus,. 2012,. "Electric Load Balancing through Low-Cost Workload Migration.". ACM SIGMETRICS Performance Evaluation Review. 40,. no. 3,. 6 -. 6.. 2008. Kai Shen, Ming Zhong, Sandhya Dwarkadas, Chuanpeng Li, Christopher Stewart, and Xiao Zhang,. 2008,. "Hardware counter driven on-the-fly request signatures.". ACM SIGOPS Operating System Review. 42,. no. 2,. 189-200 -. 189-200.. 2007. Christopher Stewart, Terence Kelly, Alex Zhang,. 2007,. "Exploiting nonstationarity for performance prediction.". ACM SIGOPS Operating System Review. 41,. no. 3,. 31-44 -. 31-44.. Unknown. Christopher Stewart and Nan Deng,. "Adaptive and Iterative Green Hosting.". ACM Transactions on Autonomic and Adaptive Computing. Christopher Stewart and Aniket Chakrabarti,. "Meeting Strict Service Level Objectives for Diverse Services.". ACM Transactions on Autonomic and Adaptive Computing. Chistopher Stewart and Vishakha Gupta,. "The 2013 Workshop on Diversity in Systems Research.". ACM SIGOPS Operating System Review. Presentations. "A Key Value Store that Supports Strict SLAs and the Applications that Need it.". 2012,. Presented at VMWare,. "A Key Value Store that Supports Strict SLAs and the Applications that Need it.". 2012,. Presented at Pacific Northwest National Labs (PNNL),. "A Key Value Store that Supports Strict SLAs and the Applications that Need it.". 2012,. Presented at Google Headquarters,. "Adaptive Green Hosting.". 2012,. Presented at Morehouse College (NSF M-WISE Faculty),. "Zoolander: Efficiently Meeting Very Strict, Low-Latency SLOs.". 2013,. Presented at USENIX International Conference on Autonomic Computing (ICAC),. "Balanced and Predictable Networked Storage.". 2013,. Presented at IEEE Workshop on Datacenter Performance,. "Efficient and Sustainable Models for the Next Generations of Internet Services.". 2015,. Presented at Georgia Tech University,. "Efficient and Sustainable Models for the Next Generations of Internet Services.". 2015,. Presented at Northwestern University,. "Challenges for Sustainable Data Ceners.". 2015,. Presented at National Science Foundation (NSF) Workshop on Sustainable Data Centers,. "A Key Value Store that Supports Strict SLAs and the Applications that Need it.". 2012,. Presented at Microsoft Research Labs,. "Modelling and Management for Internet Services.". 2010,. Presented at University of Indiana/Purdue University at Indianapolis,. Papers in Proceedings2016. Chakrabarti, A.; Parthasarathy, S.; Stewart, C.. "Green- and heterogeneity-aware partitioning for data analytics.". (9. 2016).. Aniket Chakrabarti and Christopher Stewart and Srini Parthasarathy. "Green- and Heterogeneity-Aware Partitioning for Data Analytics.". (4. 2016).. Chakrabarti, A.; Parthasarathy, S.; Stewart, C.; IEEE,. "Green- and Heterogeneity-Aware Partitioning for Data Analytics.". (1. 2016).. Zichen Xu and Christopher Stewart and Nan Deng and Xiaorui Wang. "Blending On-Demand and Spot Instances to Lower Costs for In-Memory Storage.". in IEEE International Conference on Computer Communications (Infocom).. (4. 2016).. Chakrabarti, A.; Parthasarathy, S.; Stewart, C.. "Green- and Heterogeneity-Aware Partitioning for Data Analytics.". in IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).. (1. 2016).. 2015. Nan Deng, Zichen Xu, Christopher Stewart and Xiaorui Wang. "Tell-Tale Tails: Decomposing Response Times for Live Internet Services.". in IEEE International Green and Sustainable Computing Conference.. (12. 2015).. Jianwei Tu and Christopher Stewart. "Replication for Predictability in a Java RPC Framework.". in Poster Session at IEEE International Conference on Autonomic Computing.. (7. 2015).. Christopher Stewart and Jaimie Kelley. "Tortoises and Hares Among Online Data-Intensive Queries.". in Wild and Crazy Ideas of ASPLOS (WACI).. (3. 2015).. Zichen Xu, Nan Deng, Christopher Stewart and Xiaorui Wang. "CADRE: Carbon-Aware Data Replication for Geo-Diverse Services.". in IEEE International Conference on Autonomic Computing.. (7. 2015).. Christopher Stewart and Jing Li. "Power-Utilization Provisioning for Data Centers.". in IEEE International Green and Sustainable Computing Conference.. (12. 2015).. Jamie Kelley, Christopher Stewart, Devesh Tiwari, Yuxiong He and Sameh Elnikey and Nathaniel Morris. "Measuring and Managing Answer Quality for Online Data-Intensive Services.". in IEEE International Conference on Autonomic Computing.. (7. 2015).. 2014. Sundeep Kambhampati, Jaimie Kelley, William C.L. Stewart, Christopher Stewart, and Rajiv Ramnath. "Managing Tiny Tasks for Data-Parallel, Subsampling Workloads.". in IEEE Conference on Cloud Engineering.. (3. 2014).. Kambhampati, S.; Kelley, J.; Stewart, C.; Stewart, W.C.L. et al.. "Managing tiny tasks for data-parallel, subsampling workloads.". (1. 2014).. Kambhampati, S.; Kelley, J.; Stewart, C.; Stewart, W.C.L. et al.. "Managing Tiny Tasks for Data-Parallel, Subsampling Workloads.". (1. 2014).. Nan Deng and Zichen Xu and Christopher Stewart and Xiaorui Wang. "From the Outside Looking In: Probing Web APIs to Build Detailed Workload Profiles.". in USENIX Workshop on Feedback Computing.. (6. 2014).. Kambhampati, S.; Kelley, J.; Stewart, C.; Stewart, W.C.L. et al.. "Managing Tiny Tasks for Data-Parallel, Subsampling Workloads.". in IEEE International Conference on Cloud Engineering (IC2E).. (1. 2014).. 2013. Jaimie Kelley and Christopher Stewart. "Balanced and Predictable Networked Storage.". in Workshop on Data Center Performance.. (7. 2013).. Jaimie Kelley, Christopher Stewart, Sameh Elnikety, and Yuxiong He. "Cache Provisioning for Interactive NLP Services.". in ACM Workshop on Large and Distributed Systems (LADiS).. (11. 2013).. Christopher Stewart, Aniket Chakrabarti, and Rean Griffith. "Zoolander: Efficiently Meeting Very Strict, Low-Latency SLOs.". in USENIX International Conference on Autonomic Computing.. (6. 2013).. Nan Deng, Chen Li, Christopher Stewart, and Xiaorui Wang. "MantisMail: Green Content Delivery for Email.". in Poster Session of USENIX Conference on Networked Systems Design and Implementation (NSDI).. (4. 2013).. 2012. Jaimie Kelley and Christopher Stewart. "Graduated Locality-Aware Scheduling for Search Engines.". (12. 2012).. Aniket Chakrabarti and Christopher Stewart. "Zoolander: efficient latency management in NoSQL stores.". in Proceedings of the Posters and Demo Track for Middleware 2013.. (12. 2012).. Nan Deng, Christopher Stewart, Daniel Gmach, and Martin Arlitt. Policy and Mechanism for Carbon-Aware Cloud Applications.. in IEEE Network Operations and Management Symposium.. http://www.ieee-noms.org/,. (4. 2012).. Nan Deng, Christopher Stewart, Jaimie Kelley, Daniel Gmach and Martin Arlitt. Adaptive Green Hosting.. in International Conference on Autonomic Computing.. http://icac2012.cs.fiu.edu/,. (9. 2012).. 2011. Christopher Stewart and Jing Li*. Power Provisioning for Diverse Datacenter Workloads.. in Workshop on Energy-Efficient Design (WEED).. http://research.ihost.com/weed2011/,. (6. 2011).. Nan Deng*, Christopher Stewart, and Jing Li*. Concentrating Renewable Energy in Grid-Tied Datacenters (AWARDED THIRD BEST PAPER).. in International Symposium on Sustainable Systems Technology.. http://www.ieee-issst.org/,. (5. 2011).. 2010. Nan Deng and Christopher Stewart. "Tracking and Exploiting Renewable Energy in Grid-Tied Datacenters.". in Poster Session of USENIX Conference on Operating Systems Design and Implementation (NSDI).. (10. 2010).. Christopher Stewart, Kai Shen, Arun Iyengar, and Jian Yin. EntomoModel: Understanding and Avoiding Performance Anomaly Manifestations (AWARDED BEST PAPER).. in Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (MASCOTS).. http://mascots2010.cis.fiu.edu/,. (8. 2010).. 2009. Van Renesse, R.; Rodrigues, R.; Spreitzer, M.; Stewart, C. et al.. "Challenges facing tomorrow's datacenter: Summary of the LADiS workshop.". (12. 2009).. Kai Shen, Christopher Stewart, Chuanpeng Li, and Xin Li. Reference-Driven Performance Anomaly Identification.. in International Conference on Measurement and Modeling of Computer Systems.. http://conferences.sigmetrics.org/sigmetrics/2009/,. (6. 2009).. Christopher Stewart and Kai Shen. Some Joules Are More Precious Than Others: Managing Renewable Energy in the Datacenter.. in Workshop on Power Aware Computing and Systems.. http://hotpower09.stanford.edu/,. (10. 2009).. 2008. Kai Shen, Ming Zhong, Sandhya Dwarkadas, Chuanpeng Li, Christopher Stewart, and Xiao Zhang. Hardware Counter Driven On-the-Fly Request Signatures.. in Conference on Architectural Support for Programming Languages and Operating Systems.. http://research.microsoft.com/en-us/um/redmond/events/asplos08/default.htm,. (3. 2008).. Terence Kelly, Kai Shen, Alex Zhang, and Christopher Stewart. Operational Analysis of Parallel Servers.. in Modeling, Analysis, and Simulation of Computer and Telecommunication Systems.. http://www.mascots-conference.org/index-2008.html,. (9. 2008).. Christopher Stewart, Matthew Leventi, and Kai Shen. Empirical Examination of A Collaborative Web Application.. in IEEE International Symposium on Workload Characterization.. http://www.iiswc.org/iiswc2008/,. (9. 2008).. Robbert van Renesse, Rodrigo Rodrigues, Mike Spreitzer, Christopher Stewart, Doug Terry, and Franco Travostino. Challenges Facing Tomorrow's Datacenter: Summary of the LADiS Workshop.. in Workshop on Large Scale Distributed Systems and Middleware.. http://www.cs.cornell.edu/projects/ladis2008/,. (9. 2008).. Christopher Stewart and Kai Shen. Configuration-Space Performance Anomaly Depiction.. in Workshop on Large Scale Distributed Systems and Middleware.. http://www.cs.cornell.edu/projects/ladis2008/,. (9. 2008).. Christopher Stewart, Terence Kelly, Alex Zhang, and Kai Shen. A Dollar From 15 Cents: Cross-Platform Management for Internet Services.. in USENIX Annual Technical Conference.. http://www.usenix.org/event/usenix08/,. (6. 2008).. Kai Shen, Alex Zhang, Terence Kelly, Christopher Stewart. Operational Analysis of Processor Speed Scaling.. in Symposium on Parallelism in Algorithms and Architectures.. http://www.cs.jhu.edu/~spaa/2008/,. (6. 2008).. 2007. Zhikui Wang, Xue Liu, Alex Zhang, Christopher Stewart, Xiaoyun Zhu, and Terence Kelly. AutoParam: Automated Control of Application-Level Performance in Virtualized Server Environments.. in Feedback Control Implementation and Design in Computing Systems and Networks.. http://controlofsystems.org/febid2010/,. (5. 2007).. Christopher Stewart, Terence Kelly, and Alex Zhang. Exploiting Nonstationarity For Performance Prediction.. in European Conference on Computer Systems.. http://www.eurosys.org/,. (3. 2007).. 2006. Peter Derosa, Kai Shen, Christopher Stewart, and Jonathon Pearson. Realism and Simplicity: Disk Simulation for Instructional OS Performance Evaluation.. in Technical Symposium on Computer Science Education.. http://www.cs.rit.edu/~sigcse06/,. (3. 2006).. Christopher Stewart, Ming Zhong, Kai Shen and Thomas O'Neill. "Comprehensive Depiction of Configuration-dependent Performance Anomalies in Distributed Server Systems.". in USENIX Workshop on Hot Topics in Depedable Systems.. (11. 2006).. 2005. Christopher Stewart and Kai Shen. Performance Modeling and System Management for Multi-component Online Services.. in Symposium on Networked Systems Design and Implementation.. http://www.usenix.org/events/nsdi05,. (5. 2005).. Mick Jordan and Christopher Stewart. "Adaptive Middleware for Component-Level Deployment.". in Workshop on Adaptive and Reflective Middleware.. (11. 2005).. 2004. Christopher Stewart, Kai Shen, Sandhya Dwarkadas, Michael L. Scott, and Jian Yin. "Profile-driven Component Placement for Cluster-based Online Services.". in Work In Progress at International Middleware Conference.. (11. 2004).. Department ofComputer Science and Engineering395 Dreese Laboratories2015 Neil AvenueColumbus, OH 43210-1277(614) 292-5813 Phone(614) 292-2911 Fax. Support CSE. Invest in a Buckeye. Your gift will make a difference.. Connect. facebookyoutube. 2019 The Ohio State UniversityAccessibilityPrivacy PolicyHelpLogin. diff --git a/src/data/compiled_bios/4077.txt b/src/data/compiled_bios/4077.txt new file mode 100644 index 0000000000..f25b66d6e6 --- /dev/null +++ b/src/data/compiled_bios/4077.txt @@ -0,0 +1 @@ +Yu Su. Assistant Professor, Computer Science & Engineering. 489 Dreese Laboratories. 2015 Neil Ave. Columbus,. OH. 43210. su.809@osu.edu. AboutProfessor Su will be joining the CSE department in the Fall of 2019 as an Assistant Professor and is currently a Visiting Assistant Professor of the department.. Visit Professor Su's website. Department ofComputer Science and Engineering395 Dreese Laboratories2015 Neil AvenueColumbus, OH 43210-1277(614) 292-5813 Phone(614) 292-2911 Fax. Support CSE. Invest in a Buckeye. Your gift will make a difference.. Connect. facebookyoutube. 2019 The Ohio State UniversityAccessibilityPrivacy PolicyHelpLogin. diff --git a/src/data/compiled_bios/4078.txt b/src/data/compiled_bios/4078.txt new file mode 100644 index 0000000000..7063658634 --- /dev/null +++ b/src/data/compiled_bios/4078.txt @@ -0,0 +1 @@ +Huan Sun. Assistant Professor, Computer Science & Engineering. 699 Dreese Laboratories. 2015 Neil Ave.. Columbus,. OH. 43210. 614-688-1078. sun.397@osu.edu. http://web.cse.ohio-state.edu/~sun.397/. Honors. SIGKDD 2016 Ph.D. Dissertation Runner-Up Award.. Rising Star in EECS.. Outstanding Dissertation Award.. Journal Articles. Guan, Z.; Yang, S.; Sun, H.; Srivatsa, M. et al.,. "Fine-Grained Knowledge Sharing in Collaborative Environments.". IEEE Transactions on Knowledge and Data Engineering (TKDE 2015). Tan, S.; Li, Y.; Sun, H.; Guan, Z. et al.,. "Interpreting the Public Sentiment Variations on Twitter.". IEEE Transactions on Knowledge and Data Engineering (TKDE 2014). Presentations. "Mining Big Data to Build Your Own Intelligent Assistant.". 2017,. Presented at Innovation Summit 2017,. "The Quest for Knowledge: Quest. Answering beyond Knowledge Bases and Texts.". 2018,. Presented at Rice University,. "The Quest for Knowledge: Quest. Answering beyond Knowledge Bases and Texts.". 2018,. Presented at UMass Amherst,. "The Quest for Knowledge: Quest. Answering beyond Knowledge Bases and Texts.". 2018,. Presented at Penn State University,. "The Quest for Knowledge: Quest. Answering beyond Knowledge Bases and Texts.". 2018,. Presented at University of Illinois, Chicago,. Papers in Proceedings2018. Su, Y.; Liu, H.; Yavuz, S.; Gur, I. et al.. "Global Relation Embedding for Relation Extraction.". in Proc. of the Annual Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL), 2018.. (4. 2018).. Yao, Z.; Weld, D.; Chen, W-P.; Sun, H.. "StaQC: A Systematically Mined Question-Code Dataset from Stack Overflow.". in The Web Conference (former International Conference on World Wide Web ) 2018.. (4. 2018).. 2017. Zhao, J.; Su, Y.; Guan, Z.; Sun, H.. "An End-to-End Deep Framework for Answer Triggering with a Novel Group-Level Objective.". in Empirical Methods in Natural Language Processing (EMNLP) 2017.. (9. 2017).. Li, Y.; Du, N.; Liu, C.; Xie, Y. et al.. "Reliable Medical Diagnosis from Crowdsourcing: Discover Trustworthy Answers from Non-Experts.". in ACM International Conference on Web Search and Data Mining 2017 (WSDM'17).. (2. 2017).. 2016. Li, Y.; Tan, S.; Sun, H.; Han, J. et al.. "Entity Disambiguation with Linkless Knowledge Bases.". in The 25th International World Wide Web Conference (WWW'16).. (4. 2016).. Han, F.; Tan, S.; Sun, H.; Yan, X. et al.. "Distributed Representations of Expertise.". in SIAM Int. Conf. on Data Mining 2016 (SDM'16).. (5. 2016).. Liu, C.; Sun, H.; Du, N.; Tan, S. et al.. "Augmented LSTM Framework to Construct Medical Self-diagnosis Android.". in IEEE International Conference on Data Mining (ICDM'16).. (12. 2016).. Sun, H.; Ma, H.; He, X.; Yih, W. et al.. "Table Cell Search for Question Answering.". in The 25th Int. World Wide Web Conference (WWW'16).. (4. 2016).. Su, Y.; Sun, H.; Sadler, B.; Srivatsa, M. et al.. "On Generating Characteristic-rich Question Sets for QA Evaluation.". in In 2016 Empirical Methods in Natural Language Processing (EMNLP'16).. (11. 2016).. 2015. Sun, H.; Ma, H.; Yih, W.; Tsai, C. et al.. "Open Domain Question Answering via Semantic Enrichment.". in The 24th Int. World Wide Web Conference (WWW'15).. (5. 2015).. Su, Y.; Yang, S.; Sun, H.; Srivatsa, M. et al.. "Exploiting Relevance Feedback in Knowledge Graph Search.". in Proc. of the 21st Int. Conf. on Knowledge Discovery and Data Mining (SIGKDD15).. (8. 2015).. 2014. Sun, H.; Srivatsa, M.; Tan, S.; Li, Y. et al.. "Analyzing Expert Behaviors in Collaborative Networks.". in Proc. of the 20th Int. Conf. on Knowledge Discovery and Data Mining (SIGKDD'14).. (8. 2014).. Yang, S.; Xie, Y.; Wu, Y.; Wu, T. et al.. "SLQ: A User-friendly Graph Querying System.". in Proc. of Int. Conf. on Management of Data (SIGMOD'14, demo).. (6. 2014).. Sun, H.; Li, N.; Chipman, K.; George, J. et al.. "A Probabilistic Approach to Uncovering Attributed Graph Anomalies.". in SIAM Int. Conf. on Data Mining 2014 (SDM'14).. (4. 2014).. Zhu, F.; Sun, H.; X, Y.. "Network Mining and Analysis for Social Applications.". in Tutorials of SIGKDD'14.. (8. 2014).. Yang, S.; Wu, Y.; Sun, H.; Yan, X.. "Schemaless and Structureless Graph Querying.". in Proc. of Int. Conf. on Very Large Data Bases (VLDB'14).. (9. 2014).. 2013. Sun, H.; Morales, A.; Yan, X.. "Synthetic Review Spamming and Defense.". in Proc. of the 19th Int. Conf. on Knowledge Discovery and Data Mining (SIGKDD'13).. (8. 2013).. Sun, H.; Miao, G.; Yan, X.. "Noise-Resistant Bicluster Recognition.". in IEEE Int. Conf. on Data Mining 2013 (ICDM'13).. (12. 2013).. Department ofComputer Science and Engineering395 Dreese Laboratories2015 Neil AvenueColumbus, OH 43210-1277(614) 292-5813 Phone(614) 292-2911 Fax. Support CSE. Invest in a Buckeye. Your gift will make a difference.. Connect. facebookyoutube. 2019 The Ohio State UniversityAccessibilityPrivacy PolicyHelpLogin. diff --git a/src/data/compiled_bios/4079.txt b/src/data/compiled_bios/4079.txt new file mode 100644 index 0000000000..79ce1af296 --- /dev/null +++ b/src/data/compiled_bios/4079.txt @@ -0,0 +1 @@ +Kenneth Supowit. Associate Professor, Computer Science & Engineering. 679 Dreese Laboratories. 2015 Neil Ave. Columbus,. OH. 43210. 614-292-4895. supowit.1@osu.edu. http://web.cse.ohio-state.edu/~supowit. Department ofComputer Science and Engineering395 Dreese Laboratories2015 Neil AvenueColumbus, OH 43210-1277(614) 292-5813 Phone(614) 292-2911 Fax. Support CSE. Invest in a Buckeye. Your gift will make a difference.. Connect. facebookyoutube. 2019 The Ohio State UniversityAccessibilityPrivacy PolicyHelpLogin. diff --git a/src/data/compiled_bios/408.txt b/src/data/compiled_bios/408.txt new file mode 100644 index 0000000000..44dd348f68 --- /dev/null +++ b/src/data/compiled_bios/408.txt @@ -0,0 +1 @@ +Name: Wei , Shiyi:: Position: Assistant Professor:: Degrees: PhD., Computer Science, Virginia Tech, 2015; B.E., Software Engineering, Shanghai Jiao Tong University, 2009; Research Interests: Program Analysis; Software Engineering; Programming Languages; Software Security; RepresentativePublications: Timos Antonopoulos, Paul Gazzillo, Michael Hicks, Eric Koskinen, Tachio Terauchi, and Shiyi Wei. Decomposition Instead of Self-Composition for Proving the Absence of Timing Channels. In The 38th ACM SIGPLAN Conference on Programming Language Design and Implementation (PLDI 2017).; Shiyi Wei, Omer Tripp, Barbara G. Ryder, and Julian Dolby. Revamping JavaScript Static Analysis via Localization and Remediation of Root Causes of Imprecision. In The 24th ACM SIGSOFT International Symposium on the Foundations of Software Engineering (FSE 2016).; Shiyi Wei and Barbara G. Ryder. Adaptive Context-sensitive Analysis for JavaScript. In The 29th European Conference on Object-Oriented Programming (ECOOP 2015).; Shiyi Wei and Barbara G. Ryder. State-sensitive Points-to Analysis for the Dynamic Behavior of JavaScript Objects. In The 28th European Conference on Object-Oriented Programming (ECOOP 2014).; Shiyi Wei and Barbara G. Ryder. Practical Blended Taint Analysis for JavaScript. In The 2013 International Symposium on Software Testing and Analysis (ISSTA 2013).; diff --git a/src/data/compiled_bios/4080.txt b/src/data/compiled_bios/4080.txt new file mode 100644 index 0000000000..2f4061af60 --- /dev/null +++ b/src/data/compiled_bios/4080.txt @@ -0,0 +1 @@ +Radu Teodorescu. Associate Professor, Computer Science & Engineering. 797 Dreese Laboratories. 2015 Neil Ave. Columbus,. OH. 43210. 614-292-7027. teodorescu.1@osu.edu. http://web.cse.ohio-state.edu/~teodores/. Honors. February, 2013-January, 2018. Early Career Award.. January, 2016. IEEE MICRO Top Picks from Architecture Conferences in 2015, Honorable Mention.. November, 2015. Nominated for Best Paper Award at HPCA 2016... April, 2014. Lumley Research Award.. January, 2010. One of the best papers at SBAC-PAD 2010.. January, 2007-January, 2008. Intel Foundation Ph.D. Fellowship.. January, 2008. W. J. Poppelbaum Award.. January, 2006. David J. Kuck Outstanding Master's Thesis Award.. Journal Articles2015. Venmugil Elango, Naser Sedaghati, Fabrice Rastello, Louis-Nol Pouchet, J. Ramanujam, Radu Teodorescu, and P. Sadayappan,. 2015,. "On Using the Roofline Model with Lower Bounds on Data Movement.". ACM Transactions on Architecture and Code Optimization (TACO). 11,. no. 4,. 23/67 -. 23/67.. 2013. Timothy Miller, Nagarjuna Surapaneni, Radu Teodorescu,. 2013,. "Runtime failure rate targeting for energy-efficient reliability in chip microprocessors.". Concurrency and Computation: Practice and Experience Special Issue of the Best Papers of SBAC-PAD 2010. 25,. no. 6,. 790807 -. 790807.. 2011. Timothy Miller, Renji Thomas and Radu Teodorescu,. 2011,. "Mitigating the Effects of Process Variation in Ultra-low Voltage Chip Multiprocessors using Dual Supply Voltages and Half-Speed Units.". IEEE Computer Architecture Letters (CAL). 11,. 1-4 -. 1-4.. Timothy N. Miller, Renji Thomas and Radu Teodorescu,. 2011,. "Mitigating the Effects of Process Variation in Ultra-low Voltage Chip Multiprocessors using Dual Supply Voltages and Half-Speed Units.". IEEE Computer Architecture Letters (CAL). 11,. no. 2,. 45-48 -. 45-48.. 2008. Smruti R. Sarangi, Brian Greskamp, Radu Teodorescu, Jun Nakano, Abhishek Tiwari and Josep Torrellas,. 2008,. "VARIUS: A Model of Parameter Variation and Resulting Timing Errors for Microarchitects.". IEEE Transactions on Semiconductor Manufacturing (TSM). 21,. no. 1,. 3-13 -. 3-13.. Unknown. Timothy Miller, Nagarjuna Surapaneni and Radu Teodorescu,. "Runtime Failure Rate Targeting for Energy-Efficient Reliability in Chip Multiprocessors.". Concurrency and Computation: Practice and Experience - Special Issue of the Best Papers of SBAC-PAD 2010. Presentations. "Core Tunneling: Variation-Aware Voltage Noise Mitigation in GPUs.". 2016,. Presented at International Symposium on High-Performance Computer Architecture (HPCA),. "EmerGPU: Understanding and Mitigating Resonance-Induced Voltage Noise in GPU Architectures.". 2016,. Presented at International Symposium on Performance Analysis of Systems and Software (ISPASS),. "Mitigating Parameter Variation with Dynamic Fine-Grain Body Bias.". 2007,. Presented at Intel PhD Fellowship Forum,. "Variation Aware Application Scheduling and Power Management for Chip Multiprocessors.". 2008,. Presented at Focus on Faculty Seminar Series, CSE Department, The Ohio State University,. "Architectures for Energy Efficient Computing at Ultra-low Voltages.". 2010,. Presented at Computer Architecture Seminar, Department of Computer Science, University of Illinois at Urbana Champaign,. "Designing the Next Generation Reliable Architectures.". 2009,. Presented at Seminar on Research Topics in Computer Science and Engineering, CSE Department, The Ohio State University,. "Designing Energy-Efficient Microprocessors in the Era of Unpredictable Transistors.". 2013,. Presented at Department of Computer Science, Princeton University,. "Designing Energy-Efficient Microprocessors in the Era of Unpredictable Transistors.". 2013,. Presented at Computer Engineering Seminar, University of Wisconsin-Madison,. "Designing Energy-Efficient Microprocessors in the Era of Unpredictable Transistors.". 2013,. Presented at Computer Architecture Lab Seminar, Carnegie Mellon University,. "Designing Energy-Efficient Microprocessors in the Era of Unpredictable Transistors.". 2013,. Presented at Computer Architecture Seminar, Cornell University,. "Designing Near-Threshold Microprocessors in the Era of Unpredictable Transistors.". 2013,. Presented at Workshop on Energy Secure Systems Architecture (ESSA), in conjunction with the International Symposium on Computer Architecture (ISCA),. "The Design Complexity of Program Undo Support in a General-Purpose Processor.". 2005,. Presented at Workshop on Complexity-Effective Design, in conjunction with the International Symposium on Computer Architecture (ISCA),. "Empowering Software Debugging Through Architectural Support for Program Rollback.". 2005,. Presented at Workshop on the Evaluation of Software Defect Detection Tools, in conjunction with Programming Language Design and Implementation (PLDI),. "Prototyping Architectural Support for Program Rollback Using FPGAs.". 2005,. Presented at IEEE Symposium on Field-Programmable Custom Computing Machines (FCCM),. "Reliable Systems from Unreliable Components.". 2008,. Presented at Seminar on Research Topics in Computer Science and Engineering, CSE Department, The Ohio State University,. "Parameter Variation at NT Voltage: The Power Efficiency vs. Resilience Tradeoff.". 2013,. Presented at DARPA PERFECT PI Meeting,. "Architectures for Energy Efficient Computing at Ultra-low Voltages.". 2010,. Presented at Computer Architecture Lab Seminar Series, Carnegie Mellon University,. "Mitigating Parameter Variation with Dynamic Fine-Grain Body Bias.". 2007,. Presented at International Symposium on Microarchitecture (MICRO),. "Dynamic Reduction of Voltage Margins by Leveraging On-chip ECC in Itanium II Processors.". 2013,. Presented at International Symposium on Computer Architecture (ISCA),. "Designing Energy-Efficient Microprocessors in the Era of Unpredictable Transistors.". 2014,. Presented at Technical University of Cluj-Napoca,. "Voltage Speculation with ECC Feedback, Mitigating Frequency Variation.". 2014,. Presented at DARPA PERFECT PI Meeting,. "Boosting the Energy Efficiency of Low-Voltage Multicores.". 2014,. Presented at Qualcomm,. "Boosting the Energy Efficiency of Low-Voltage Multicores.". 2014,. Presented at IBM TJ Watson,. "Boosting the Energy Efficiency of Low-Voltage Multicores.". 2013,. Presented at AMD,. "Boosting the Energy Efficiency of Low-Voltage Multicores.". 2013,. Presented at Intel Corp.,. "Parameter Variation at NT Voltage: The Power Efficiency vs. Resilience Tradeoff.". 2015,. Presented at DARPA PERFECT PI Meeting,. Papers in Proceedings2017. Pan, X.; Bacha, A.; Teodorescu, R.. "Respin: Rethinking Near-Threshold Multiprocessor Design with Non-Volatile Memory.". in 31st IEEE International Parallel and Distributed Processing Symposium (IPDPS).. (1. 2017).. Pan, X.; Bacha, A.; Teodorescu, R.; IEEE,. "Respin: Rethinking Near-Threshold Multiprocessor Design with Non-Volatile Memory.". (1. 2017).. Pan, X.; Bacha, A.; Teodorescu, R.. "Respin: Rethinking Near-Threshold Multiprocessor Design with Non-volatile Memory.". (6. 2017).. Pan, Xiang, ; Bacha, Anys, ; Teodorescu, R.. "Respin: Rethinking Near-Threshold Multiprocessor Design with Non-Volatile Memory.". in IEEE International Parallel and Distributed Processing Symposium.. (5. 2017).. 2016. Renji Thomas, Naser Sedaghati, Radu Teodorescu. "EmerGPU: Understanding and Mitigating Resonance-Induced Voltage Noise in GPU Architectures.". in International Symposium on Performance Analysis of Systems and Software (ISPASS).. (4. 2016).. Thomas, R.; Barber, K.; Sedaghati, N.; Zhou, L. et al.. "Core tunneling: Variation-aware voltage noise mitigation in GPUs.". (4. 2016).. Thomas, R.; Sedaghati, N.; Teodorescu, R.. "EmerGPU: Understanding and mitigating resonance-induced voltage noise in GPU architectures.". (5. 2016).. Skarlatos, D.; Thomas, R.; Agrawal, A.; Qin, S. et al.. "Snatch: Opportunistically reassigning power allocation between processor and memory in 3D stacks.". (12. 2016).. Thomas, R.; Sedaghati, N.; Teodorescu, R.; IEEE,. "EmerGPU: Understanding and Mitigating Resonance-Induced Voltage Noise in GPU Architectures.". (1. 2016).. Thomas, R.; Barber, K.; Sedaghati, N.; Zhou, L. et al.. "Core Tunneling: Variation-Aware Voltage Noise Mitigation in GPUs.". (1. 2016).. Skarlatos, D.; Thomas, R.; Agrawal, A.; Qin, S. et al.. "Snatch: Opportunistically Reassigning Power Allocation between Processor and Memory in 3D Stacks.". (1. 2016).. Thomas, R.; Barber, K.; Sedaghati, N.; Zhou, L. et al.. "Core Tunneling: Variation-Aware Voltage Noise Mitigation in GPUs.". in 22nd IEEE International Symposium on High-Performance Computer Architecture (HPCA).. (1. 2016).. Skarlatos, D.; Thomas, R.; Agrawal, A.; Qin, S. et al.. "Snatch: Opportunistically Reassigning Power Allocation between Processor and Memory in 3D Stacks.". in 49th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO).. (1. 2016).. Renji Thomas, Kristin Barber, Naser Sedaghati, Li Zhou, Radu Teodorescu. "Core Tunneling: Variation-Aware Voltage Noise Mitigation in GPUs.". in International Symposium on High-Performance Computer Architecture (HPCA).. (3. 2016).. Dimitrios Skarlatos, Renji Thomas, Aditya Agrawal, Shibin Qin, Robert Pilawa, Ulya Karpuzcu, Radu Teodorescu, Nam Sung Kim, Josep Torrellas. "Snatch: Opportunistically Reassigning Power Allocation between Processor and Memory in 3D Stacks.". in International Symposium on Microarchitecture (MICRO).. (10. 2016).. Thomas, R.; Sedaghati, N.; Teodorescu, R.. "EmerGPU: Understanding and Mitigating Resonance-Induced Voltage Noise in GPU Architectures.". in 17th IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS).. (1. 2016).. 2015. Bacha, A.; Teodorescu, R.. "Authenticache: Harnessing Cache ECC for System Authentication.". in 48th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO).. (1. 2015).. Bacha, A.; Teodorescu, R.. "Using ECC Feedback to Guide Voltage Speculation in Low-Voltage Processors.". (1. 2015).. Bacha, A.; Teodorescu, R.. "Authenticache: Harnessing cache ECC for system authentication.". (12. 2015).. Bacha, A.; Teodorescu, R.; ACM,. "Authenticache: Harnessing Cache ECC for System Authentication.". (1. 2015).. Anys Bacha and Radu Teodorescu. "Authenticache: Harnessing Cache ECC for System Authentication.". in International Symposium on Microarchitecture (MICRO).. (11. 2015).. 2014. Xiang Pan and Radu Teodorescu. "NVSleep: Using Non-Volatile Memory to Enable Fast Sleep/Wakeup of Idle Cores.". in IEEE International Conference on Computer Design (ICCD).. (10. 2014).. Pan, X.; Teodorescu, R.. "NVSleep: Using Non-Volatile Memory to Enable Fast Sleep/Wakeup of Idle Cores.". in 32nd IEEE International Conference on Computer Design (ICCD).. (1. 2014).. Pan, X.; Teodorescu, R.. "NVSleep: Using non-volatile memory to enable fast sleep/wakeup of idle cores.". (1. 2014).. Bacha, A.; Teodorescu, R.; IEEE,. "Using ECC Feedback to Guide Voltage Speculation in Low-Voltage Processors.". (1. 2014).. Bacha, A.; Teodorescu, R.. "Using ECC Feedback to Guide Voltage Speculation in Low-Voltage Processors.". in 47th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO).. (1. 2014).. Pan, X.; Teodorescu, R.; IEEE,. "NVSleep: Using Non-Volatile Memory to Enable Fast Sleep/Wakeup of Idle Cores.". (1. 2014).. Anys Bacha and Radu Teodorescu. "Using ECC Feedback to Guide Voltage Speculation in Low-Voltage Processors.". in International Symposium on Microarchitecture (MICRO).. (12. 2014).. 2013. Bacha, A.; Teodorescu, R.. "Dynamic reduction of voltage margins by leveraging on-chip ECC in itanium II processors.". (8. 2013).. Anys Bacha, Radu Teodorescu. "Dynamic Reduction of Voltage Margins by Leveraging On-chip ECC in Itanium II Processors.". in International Symposium on Computer Architecture (ISCA).. (6. 2013).. 2012. Miller, T.N.; Thomas, R.; Teodorescu, R.. "Mitigating the Effects of Process Variation in Ultra-low Voltage Chip Multiprocessors using Dual Supply Voltages and Half-Speed Units.". (7. 2012).. Miller, T.N.; Thomas, R.; Pan, X.; Teodorescu, R.. "VRSync: Characterizing and eliminating synchronization-induced voltage emergencies in many-core processors.". (8. 2012).. Miller, T.N.; Pan, X.; Thomas, R.; Sedaghati, N. et al.. "Booster: Reactive core acceleration for mitigating the effects of process variation and application imbalance in low-voltage chips.". (5. 2012).. Miller, T.N.; Thomas, R.; Teodorescu, R.. "Mitigating the effects of process variation in ultra-low voltage chip multiprocessors using dual supply voltages and half-speed units.". (1. 2012).. Timothy N. Miller, Xiang Pan, Renji Thomas, Naser Sedaghati, Radu Teodorescu. "Booster: Reactive Core Acceleration for Mitigating the Effects of Process Variation and Application Imbalance in Low-Voltage Chips.". in International Symposium on High-Performance Computer Architecture (HPCA).. (2. 2012).. Miller, T.N.; Thomas, R.; Pan, X.; Teodorescu, R. et al.. "VRSync: Characterizing and Eliminating Synchronization-Induced Voltage Emergencies in Many-core Processors.". (1. 2012).. Miller, T.N.; Pan, X.; Thomas, R.; Sedaghati, N. et al.. "Booster: Reactive Core Acceleration for Mitigating the Effects of Process Variation and Application Imbalance in Low-Voltage Chips.". (1. 2012).. Timothy N. Miller, Renji Thomas, Xiang Pan, Radu Teodorescu. "VRSync: Characterizing and Eliminating Synchronization-Induced Voltage Emergencies in Many-core Processors.". in International Symposium on Computer Architecture (ISCA).. (6. 2012).. Miller, T.N.; Thomas, R.; Teodorescu, R.. "Mitigating the Effects of Process Variation in Ultra-low Voltage Chip Multiprocessors using Dual Supply Voltages and Half-Speed Units.". (1. 2012).. Timothy N. Miller, Xiang Pan, Renji Thomas, Naser Sedaghati, Radu Teodorescu. "Booster: Reactive Core Acceleration for Mitigating the Effects of Process Variation and Application Imbalance in Low-Voltage Chips.". in International Symposium on High-Performance Computer Architecture (HPCA).. (2. 2012).. Miller, T.N.; Thomas, R.; Pan, X.; Teodorescu, R.. "VRSync: Characterizing and Eliminating Synchronization-Induced Voltage Emergencies in Many-core Processors.". in 39th Annual International Symposium on Computer Architecture (ISCA).. (1. 2012).. Miller, T.N.; Pan, X.; Thomas, R.; Sedaghati, N. et al.. "Booster: Reactive Core Acceleration for Mitigating the Effects of Process Variation and Application Imbalance in Low-Voltage Chips.". in 18th IEEE International Symposium on High-Performance Computer Architecture (HPCA).. (1. 2012).. Timothy N. Miller, Renji Thomas, Xiang Pan, Radu Teodorescu. "VRSync: Characterizing and Eliminating Synchronization-Induced Voltage Emergencies in Many-core Processors.". in International Symposium on Computer Architecture (ISCA).. (6. 2012).. 2011. Timothy N. Miller, Renji Thomas and Radu Teodorescu. "Mitigating the Effects of Process Variation in Ultra-low Voltage Chip Multiprocessors using Dual Supply Voltages and Half-Speed Stages.". in Workshop on Energy-Efficient Design, in conjunction with the International Symposium on Computer Architecture (ISCA).. (6. 2011).. 2010. Timothy N. Miller, James Dinan, Renji Thomas, Bruce Adcock and Radu Teodorescu. "Parichute: Generalized Turbocode-Based Error Correction for Near-Threshold Caches.". in International Symposium on Microarchitecture (MICRO).. (12. 2010).. Miller, T.N.; Thomas, R.; Dinan, J.; Adcock, B. et al.. "Parichute: Generalized turbocode-based error correction for near-threshold caches.". (12. 2010).. Timothy N. Miller, Nagarjuna Surapaneni and Radu Teodorescu. "Flexible Error Protection for Energy Efficient Reliable Architectures.". in International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD).. (10. 2010).. Miller, T.; Surapaneni, N.; Teodorescu, R.. "Flexible error protection for energy efficient reliable architectures.". (12. 2010).. 2009. Timothy N. Miller, Nagarjuna Surapaneni, Radu Teodorescu and Joanne Degroat. "Flexible Redundancy in Robust Processor Architecture.". in Workshop on Energy-Efficient Design, in conjunction with the International Symposium on Computer Architecture (ISCA).. (6. 2009).. 2008. Radu Teodorescu and Josep Torrellas. "Variation-Aware Application Scheduling and Power Management for CMPs.". in International Symposium on Computer Architecture (ISCA).. (6. 2008).. 2007. Zhou, P.; Teodorescu, R.; Zhou, Y.. "HARD: Hardware-assisted lockset-based race detection.". (8. 2007).. Teodorescu, R.; Nakano, J.; Tiwari, A.; Torrellas, J.. "Mitigating parameter variation with dynamic fine-grain body biasing?.". (12. 2007).. Radu Teodorescu, Jun Nakano, Abhishek Tiwari and Josep Torrellas. "Mitigating Parameter Variation with Dynamic Fine-Grain Body Biasing.". in International Symposium on Microarchitecture (MICRO).. (12. 2007).. Pin Zhou, Radu Teodorescu and Yuanyuan Zhou. "HARD: Hardware-Assisted Lockset-based Race Detection.". in International Symposium on High Performance Computer Architecture (HPCA).. (2. 2007).. Zhou, P.; Teodorescu, R.; Zhou, Y.; IEEE,. "HARD: Hardware-assisted lockset-based race detection.". (1. 2007).. Teodorescu, R.; Nakano, J.; Tiwari, A.; Torrellas, J.. "Mitigating parameter variation with dynamic fine-grain body biasing.". in 40th Annual IEEE/AMC International Symposium on Microarchitecture.. (1. 2007).. Radu Teodorescu, Brian Greskamp, Jun Nakano, Smruti R. Sarangi, Abhishek Tiwari and Josep Torrellas. "VARIUS: A Model of Parameter Variation and Resulting Timing Errors for Microarchitects.". in Workshop on Architectural Support for Gigascale Integration in conjunction with the International Symposium on Computer Architecture (ISCA).. (6. 2007).. Teodorescu, R.; Nakano, J.; Tiwari, A.; Torrellas, J.. "Mitigating parameter variation with dynamic fine-grain body biasing.". (1. 2007).. Zhou, P.; Teodorescu, R.; Zhou, Y.. "HARD: Hardware-assisted lockset-based race detection.". in 13th International Symposium on High-Performance Computer Architecture.. (1. 2007).. 2006. S. Chen, B. Falsafi, P. B. Gibbons, M. Kozuch, T. C. Mowry, R. Teodorescu, A. Ailamaki, L. Fix, G. R. Ganger, B. Lin, S. W. Schlosser. "Log-Based Architectures for Continuous Monitoring of Deployed Code.". in Workshop on Architectural and System Support for Improving Software Dependability, in conjunction with International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS).. (10. 2006).. Chen, S.; Falsafi, B.; Gibbons, P.B.; Kozuch, M. et al.. "Log-based architectures for general-purpose monitoring of deployed code.". (12. 2006).. 2005. Radu Teodorescu and Josep Torrellas. "Prototyping Architectural Support for Program Rollback: An Application to Software Debugging.". in Workshop on Architecture Research Using FPGA Platforms, in conjunction with the International Symposium on High-Performance Computer Architecture (HPCA).. (2. 2005).. Teodorescu, R.; Torrellas, J.. "Prototyping architectural support for program rollback using FPGAs.". in 13th Annual IEEE Symposium on Field-Programmable Custom Computing Machines.. (1. 2005).. Teodorescu, R.; Torrellas, J.. "Prototyping architectural support for program rollback using FPGAs.". (12. 2005).. Radu Teodorescu and Josep Torrellas. "The Design Complexity of Program Undo Support in a General-Purpose Processor.". in Workshop on Complexity-Effective Design, in conjunction with the International Symposium on Computer Architecture (ISCA).. (6. 2005).. Teodorescu, R.; Torrellas, J.; Soc, I.E.E.E.C.. "Prototyping architectural support for program rollback using FPGAs.". (1. 2005).. Radu Teodorescu and Josep Torrellas. "Empowering Software Debugging Through Architectural Support for Program Rollback.". in Workshop on the Evaluation of Software DefectDetection Tools, in conjunction with the Conference on Programming Language Design and Implementation (PLDI).. (6. 2005).. Radu Teodorescu and Josep Torrellas. "Prototyping Architectural Support for Program Rollback Using FPGAs.". in IEEE Symposium on Field-Programmable Custom Computing Machines (FCCM).. (4. 2005).. 2001. Nedevschi, S.; Olinic, D.; Gyngyi, Z.; Nedevschi, S. et al.. "Feature based retrieval of echocardiographic images using DICOM structured reporting.". (1. 2001).. Nedevschi, S.; Olinic, D.; Gyongyi, Z.; Nedevschi, S. et al.. "Feature based retrieval of echocardiographic images using DICOM structured reporting.". in 28th Annual Meeting on Computers in Cardiology.. (1. 2001).. Nedevschi, S.; Olinic, D.; Gyongyi, Z.; Nedevschi, S. et al.. "Feature based retrieval of echocardiographic images using DICOM structured reporting.". (1. 2001).. Sergiu Nedevschi, Dan Olinic, Zoltan Gyongyi, Radu Teodorescu, Sergiu Nedevschi Jr.. "Feature based retrieval of echocardiographic images using DICOM structured reporting.". in IEEE Computers in Cardiology.. (9. 2001).. Department ofComputer Science and Engineering395 Dreese Laboratories2015 Neil AvenueColumbus, OH 43210-1277(614) 292-5813 Phone(614) 292-2911 Fax. Support CSE. Invest in a Buckeye. Your gift will make a difference.. Connect. facebookyoutube. 2019 The Ohio State UniversityAccessibilityPrivacy PolicyHelpLogin. diff --git a/src/data/compiled_bios/4081.txt b/src/data/compiled_bios/4081.txt new file mode 100644 index 0000000000..99452e706d --- /dev/null +++ b/src/data/compiled_bios/4081.txt @@ -0,0 +1 @@ +Deliang Wang. Professor, CCBS. Professor, Computer Science & Engineering. 598 Dreese Laboratories. 2015 Neil Ave. Columbus,. OH. 43210. 614-292-6827. wang.77@osu.edu. http://web.cse.ohio-state.edu/~dwang. Honors. January, 2009. Lumley Award.. January, 2009. IEEE Distinguished Lecturer.. January, 2008. Helmholtz Award.. January, 2007. Outstanding Paper Award.. January, 2004. IEEE Fellow.. January, 1996. ONR Young Investigator Award.. January, 1992. NSF Research Initiation Award.. Journal Articles2011. Jin Z. and Wang D.L.,. 2011,. "HMM-based multipitch tracking for noisy and reverberant speech.". IEEE Transactions on Audio, Speech, and Language Processing. 19,. 1091-1102 -. 1091-1102.. Jan T., Wang W., Wang D.L.,. 2011,. "A multistage approach to blind separation of convolutive speech mixtures.". Speech Communication. 53,. 524-539 -. 524-539.. Quiles M.G., Wang D.L., Zhao L., Romero R.A.F., and Huang D.-S.,. 2011,. "Selecting salient objects in real scenes: An oscillatory correlation model.". Neural Networks. 24,. 54-64 -. 54-64.. 2010. Narayanan A. and Wang D.L.,. 2010,. "Robust speech recognition from binary masks.". Journal of the Acoustical Society of America Express Letters. 128,. EL217-EL222 -. EL217-EL222.. Woodruff J. and Wang D.L.,. 2010,. "Sequential organization of speech in reverberant environments by integrating monaural grouping and binaural localization.". IEEE Transactions on Audio, Speech, and Language Processing. 18,. 1856-1866 -. 1856-1866.. Srinivasan S. and Wang D.L.,. 2010,. "Robust speech recognition by integrating speech separation and hypothesis testing.". Speech Communication. 52,. 72-81 -. 72-81.. Shao Y., Srinivasan S., Jin Z., and Wang D.L.,. 2010,. "A computational auditory scene analysis system for speech segregation and robust speech recognition.". Computer Speech and Language. 24,. 77-93 -. 77-93.. Hu G. and Wang D.L.,. 2010,. "A tandem algorithm for pitch estimation and voiced speech segregation.". IEEE Transactions on Audio, Speech, and Language Processing. 18,. 2067-2079 -. 2067-2079.. 2009. Li Y., Woodruff J., and Wang D.L.,. 2009,. "Monaural musical sound separation based on pitch and common amplitude modulation.". IEEE Transactions on Audio, Speech, and Language Processing. 17,. 136-1371 -. 136-1371.. Li Y. and Wang D.L.,. 2009,. "Musical sound separation based on binary time-frequency masking.". EURASIP Journal on Audio, Speech, and Music Processing. 2009,. no. 10,. 1-10 -. 1-10.. Brungart D.S., Chang P.S., Simpson B.D., and Wang D.L.,. 2009,. "Multitalker speech perception with ideal time-frequency segregation: Effects of voice characteristics and speaker number.". Journal of the Acoustical Society of America. 125,. 4006-4022 -. 4006-4022.. Shao Y. and Wang D.L.,. 2009,. "Sequential organization of speech in computational auditory scene analysis.". Speech Communication. 51,. 657-667 -. 657-667.. Kjems U., Boldt J.B., Pedersen M.S., Lunner T., and Wang D.L.,. 2009,. "Role of mask pattern in intelligibility of ideal binary-masked noisy speech.". Journal of the Acoustical Society of America. 126,. 1415-1426 -. 1415-1426.. Presentations. "Speech segregation as binary classification.". 2010,. Presented at International Symposium on Machine Perception and Cognition,. "Cocktail party problem as binary classification.". 2010,. Presented at International Symposium on Neural Networks (ISNN),. "Cocktail party problem as binary classification.". 2009,. "A hidden Markov model framework for multi-target tracking.". 2009,. Presented at IEEE Workshop on Statistical Signal Processing,. "Speech segregation.". 2010,. Presented at ICASSP,. "What the frog eye tells the human ear.". 2010,. Presented at Symposium on Multidisciplinary Approaches to Understanding the Mind and Brain,. "Speech segregation as binary classification.". 2009,. Presented at International Conference on Neural Information Processing (ICONIP),. "Speech segregation by computational auditory scene analysis.". 2010,. Presented at AUDIS Winter School,. Papers in Proceedings2011. Narayanan A., X. Zhao, Wang D.L., and Fosler-Lussier E.. "Robust speech recognition using multiple prior models for speech reconstruction.". in Proceedings of ICASSP-11.. (5. 2011).. Han K. and Wang D.L.. "An SVM based classification approach to speech separation.". in Proceedings of ICASSP-11.. (5. 2011).. Hu, K.; Wang, D.. "An approach to sequential grouping in cochannel speech..". (1. 2011).. Narayanan A. and Wang D.L.. "On the use of ideal binary masks for improving phonetic classification.". in Proceedings of ICASSP-11.. (5. 2011).. Zhao X., Shao Y., and Wang D.L.. "Robust speaker identification using a CASA front-end.". in Proceedings of ICASSP-11.. (5. 2011).. Hu K. and Wang D.L.. "An approach to sequential grouping in cochannel speech.". in Proceedings of ICASSP-11.. (5. 2011).. Woodruff J. and Wang D.L.. "Directionality-based speech enhancement for hearing aids.". in Proceedings of ICASSP-11.. (5. 2011).. Hsu C.-L., Wang D.L. and Jang J.R.. "A trend estimation algorithm for singing pitch detection in musical recordings.". in Proceedings of ICASSP-11.. (5. 2011).. 2010. Woodruff J., Prabhavalkar R., Fosler-Lussier E., and Wang D.L.. "Combining monaural and binaural evidence for reverberant speech segregation.". in Proceedings of INTERSPEECH-10.. (9. 2010).. Jin Z. and Wang D.L.. "A multipitch tracking algorithm for noisy and reverberant speech.". in Proceedings of ICASSP-10.. (3. 2010).. Kjems U., Boldt J.B., Pedersen M.S., Lunner T., and Wang D.L.. "Speech intelligibility of ideal binary masked mixtures.". in Proceedings of EUSIPCO-10.. (9. 2010).. Hu K. and Wang D.L.. "Unsupervised sequential organization for cochannel speech separation.". in Proceedings of INTERSPEECH-10.. (9. 2010).. Yan L, Yuan J., Cheng L., Li R., and Wang D.L.. "A biologically and geometrically inspired approach to target extraction from multiple-source remote sensing images.". in Proceedings of ASPRS-10.. (4. 2010).. Hu K. and Wang D.L.. "Unvoiced speech segregation based on CASA and spectral subtraction.". in Proceedings of INTERSPEECH-10.. (9. 2010).. Woodruff J. and Wang D.L.. "Integrating monaural and binaural analysis for localization of multiple sound sources in noisy and reverberant conditions.". in Proceedings of ICASSP-10.. (3. 2010).. Hu, K.; Wang, D.. "Unvoiced speech segregation based on CASA and spectral subtraction..". (1. 2010).. Hu, K.; Wang, D.. "Unsupervised sequential organization for cochannel speech separation..". (1. 2010).. 2009. Yuan J., Wang D.L., Wu B., Yan L., and Li R.. "Automatic road extraction from satellite imagery using LEGION networks.". in Proceedings of IJCNN-09.. (7. 2009).. Quiles M., Wang D.L., Zhao L., Romero R.A.F., and D.-S. Huang. "An oscillatory correlation model of object-based attention.". in Proceedings of IJCNN-09.. (7. 2009).. Department ofComputer Science and Engineering395 Dreese Laboratories2015 Neil AvenueColumbus, OH 43210-1277(614) 292-5813 Phone(614) 292-2911 Fax. Support CSE. Invest in a Buckeye. Your gift will make a difference.. Connect. facebookyoutube. 2019 The Ohio State UniversityAccessibilityPrivacy PolicyHelpLogin. diff --git a/src/data/compiled_bios/4082.txt b/src/data/compiled_bios/4082.txt new file mode 100644 index 0000000000..454267eafe --- /dev/null +++ b/src/data/compiled_bios/4082.txt @@ -0,0 +1 @@ +Huamin Wang. Associate Professor, Computer Science & Engineering. 583 Dreese Laboratories. 2015 Neil Ave. Columbus,. OH. 43210. 614-292-6370. wang.3602@osu.edu. http://web.cse.ohio-state.edu/~whmin. Chapters2011. 2011.. "Dynamic view synthesis with an array of cameras.". In Computational photography: methods and applications,. Journal Articles2018. Wang, H.,. 2018,. "Rule-Free Sewing Pattern Adjustment with Precision and Efficiency.". ACM Transactions on Graphics (SIGGRAPH). 37,. no. 4,. 53:1-53:13 -. 53:1-53:13.. 2017. He, X.; Wang, H.; Wu, E.,. 2017,. "Projective Peridynamics for Modeling Versatile Elastoplastic Materials.". IEEE Transactions on Visualization and Computer Graphics. 1-1 -. 1-1.. Yao, M.; Chen, Z.; Xu, W.; Wang, H.,. 2017,. "Modeling, Evaluation and Optimization of Interlocking Shell Pieces.". Computer Graphics Forum (Pacific Graphics). 36,. no. 7,. 1-13 -. 1-13.. Mao, A.; Wang, M.; Liu, Y-J.; Wang, H. et al.,. 2017,. "SPH-based simulation of liquid wetting across textile materials.". Communications in Information and Systems. 17,. no. 3,. 147-169 -. 147-169.. 2016. Tang, M.; Wang, H.; Tang, L.; Tong, R. et al.,. 2016,. "CAMA: Contact-aware matrix assembly with unified collision handling for GPU-based cloth simulation.". Computer Graphics Forum (Eurographics). 35,. no. 2,. 511-521 -. 511-521.. Mukherjee, R.; Wu, X.; Wang, H.,. 2016,. "Incremental Deformation Subspace Reconstruction.". Computer Graphics Forum (Pacific Graphics). 35,. no. 7,. 169-178 -. 169-178.. 2015. Yao, M.; Chen, Z.; Luo, L.; Wang, R. et al.,. 2015,. "Level-set-based partitioning and packing optimization of a printable model.". ACM Transactions on Graphics (SIGGRAPH Asia). 34,. no. 6,. 214:1-214:11 -. 214:1-214:11.. Wu, X.; Mukherjee, R.; Wang, H.,. 2015,. "A unified approach for subspace simulation of deformable bodies in multiple domains.". ACM Transactions on Graphics (SIGGRAPH Asia). 34,. no. 6,. 241:1-241:9 -. 241:1-241:9.. Wang, H.,. 2015,. "A Chebyshev semi-iterative approach for accelerating projective and position-based dynamics.". ACM Transactions on Graphics (SIGGRAPH Asia). 34,. no. 6,. 246:1-246:9 -. 246:1-246:9.. Dey, T.K.; Fu, B.; Wang, H.; Wang, L.,. 2015,. "Automatic posing of a meshed human model using point clouds.". Computers & Graphics (Shape Modeling International). 46,. 14-24 -. 14-24.. Chen, Z.; Kim, B.; Ito, D.; Wang, H.,. 2015,. "Wetbrush: GPU-based 3D painting simulation at the bristle level.". ACM Transactions on Graphics (SIGGRAPH Asia). 34,. no. 6,. 200:1-200:11 -. 200:1-200:11.. 2014. He, X.; Wang, H.; Zhang, F.; Wang, H. et al.,. 2014,. "Robust simulation of sparsely sampled thin features in SPH-based free surface flows.". ACM Transactions on Graphics. 34,. no. 1,. 7:1-7:9 -. 7:1-7:9.. Chen, Z.; Yao, M.; Feng, R.; Wang, H.,. 2014,. "Physics-inspired adaptive fracture refinement.". ACM Transactions on Graphics (SIGGRAPH). 33,. no. 4,. 113:1-113:7 -. 113:1-113:7.. Ye, M.; Wang, H.; Deng, N.; Yang, X. et al.,. 2014,. "Real-time human pose and shape estimation for virtual try-on using a single commodity depth camera.". IEEE Transactions on Visualization and Computer Graphics (IEEE Virtual Reality). 20,. no. 4,. 550-559 -. 550-559.. 2013. Chen, J.; Ge, X.; Wei, L-Y.; Wang, B. et al.,. 2013,. "Bilateral blue noise sampling.". ACM Transactions on Graphics (SIGGRAPH Asia). 32,. no. 6,. 216:1-216:11 -. 216:1-216:11.. Chen, Z.; Feng, R.; Wang, H.,. 2013,. "Modeling Friction and Air Effects between Cloth and Deformable Bodies.". ACM Transactions on Graphics (SIGGRAPH). 32,. no. 4,. 88:1-88:8 -. 88:1-88:8.. 2012. Zhang, Y.; Wang, H.; Wang, S.; Tong, Y. et al.,. 2012,. "A deformable surface model for real-time water drop animation.". IEEE Transactions on Visualization and Computer graphics (TVCG). 18,. no. 8,. 1281-1289 -. 1281-1289.. Hua, W.; Zeng, X.; Wang, R.; Tang, Y. et al.,. 2012,. "Compressing repeated content within large-scale remote sensing images.". The Visual Computer (Computer Graphics International). 28,. no. 6-8,. 755-764 -. 755-764.. Zhang, Q.; Tong, J.; Wang, H.; Pan, Z. et al.,. 2012,. "Simulation guided hair dynamics modeling from video.". Computer Graphics Forum (Pacific Graphics). 31,. no. 7,. 2003-2010 -. 2003-2010.. 2011. Wang, H.; Ramamoorthi, R.; O'Brien, J.,. 2011,. "Data-driven elastic models for cloth: Modeling and measurement.". ACM Transactions on Graphics (SIGGRAPH). 30,. no. 4,. 71:1-71:12 -. 71:1-71:12.. 2010. Wang, H.; O'Brien, J.; Ramamoorthi, R.,. 2010,. "Multi-resolution isotropic strain limiting.". ACM Transactions on Graphics (SIGGRAPH). 29,. no. 6,. 156:1-156:10 -. 156:1-156:10.. Wang, H.; Hecht, F.; Ramamoorthi, R.; O'Brien, J.,. 2010,. "Example-based wrinkle synthesis for clothing animation.". ACM Transactions on Graphics (SIGGRAPH). 29,. no. 4,. 107:1-107:8 -. 107:1-107:8.. 2009. Wang, H.; Liao, M.; Zhang, Q.; Yang, R. et al.,. 2009,. "Physically guided liquid surface modeling from videos.". ACM Transactions on Graphics (SIGGRAPH). 28,. no. 3,. 90:1-90:11 -. 90:1-90:11.. Ray, N.; Levy, B.; Wang, H.; Turk, G. et al.,. 2009,. "Material space texturing.". Computer Graphics Forum. 28,. no. 6,. 1659-1669 -. 1659-1669.. 2008. Wang, H.; Wexler, Y.; Ofek, E.; Hoppe, H.,. 2008,. "Factoring repeated content within and among images.". ACM Transactions on Graphics (SIGGRAPH). 27,. no. 3,. 14:1-14:10 -. 14:1-14:10.. 2007. Wang, H.; Sun, M.; Yang, R.,. 2007,. "Space-time light field rendering.". IEEE Transactions on Visualization and Computer Graphics (TVCG). 13,. no. 4,. 697-710 -. 697-710.. 2005. Wang, H.; Mucha, P.; Turk, G.,. 2005,. "Water drops on surfaces.". ACM Transactions on Graphics (SIGGRAPH). 24,. no. 3,. 921-929 -. 921-929.. Presentations. "Data-driven simulation methods in computer graphics: Cloth, tissue and faces.". 2012,. Presented at SIGGRAPH 2012 courses,. Papers in Proceedings2018. Mukherjee, R.; Wu, L.; Wang, H.. "Interactive two-way shape design of elastic bodies.". in ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games.. (5. 2018).. 2016. Sheng Yang, Xiaowei He, Huamin Wang, Sheng Li, Guoping Wang, Enhua Wu and Kun Zhou. "Enriching SPH simulation by approximate capillary waves.". in The 15th ACM SIGGRAPH/Eurographics Symposium on Computer Animation (SCA).. (6. 2016).. Yang, S.; He, X.; Wang, H.; Li, S. et al.. Enriching SPH simulation by approximate capillary waves.. in The 15th ACM SIGGRAPH/Eurographics Symposium on Computer Animation (SCA).. http://dl.acm.org/citation.cfm?id=2982818.2982824,. (7. 2016).. 2015. Xiaowei He, Huamin Wang, Fengjun Zhang, Hongan Wang, Guoping Wang, Kun Zhou and Enhua Wu. "Simulation of fluid mixing with interface control.". in The 14th ACM SIGGRAPH/Eurographics Symposium on Computer Animation (SCA).. (8. 2015).. He, X.; Wang, H.; Zhang, F.; Wang, H. et al.. "Simulation of fluid mixing with interface control.". in The 14th ACM SIGGRAPH/Eurographics Symposium on Computer Animation (SCA).. (8. 2015).. 2009. Miao Liao, Qing Zhang, Huamin Wang, Ruigang Yang and Minglun Gong. "Modeling Deformable Objects from a Single Depth Camera.". in 12th IEEE International Conference on Computer Vision.. (1. 2009).. Liao, M.; Zhang, Q.; Wang, H.; Yang, R. et al.. "Modeling Deformable Objects from a Single Depth Camera.". in 12th IEEE International Conference on Computer Vision.. (1. 2009).. 2007. Huamin Wang, Gavin Miller and Greg Turk. "Solving general shallow wave equations on surfaces.". in The 2007 ACM SIGGRAPH/Eurographics Symposium on Computer Animation (SCA).. (1. 2007).. Wang, H.; Miller, G.; Turk, G.. Solving general shallow wave equations on surfaces.. in The 2007 ACM SIGGRAPH/Eurographics Symposium on Computer Animation (SCA).. http://dl.acm.org/citation.cfm?id=1272690.1272721,. (1. 2007).. 2005. Huamin Wang and Ruigang Yang. "Towards space-time light field rendering.". in ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games (I3D).. (4. 2005).. Wang, H.; Yang, R.. "Towards space-time light field rendering.". in ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games (I3D).. (4. 2005).. Department ofComputer Science and Engineering395 Dreese Laboratories2015 Neil AvenueColumbus, OH 43210-1277(614) 292-5813 Phone(614) 292-2911 Fax. Support CSE. Invest in a Buckeye. Your gift will make a difference.. Connect. facebookyoutube. 2019 The Ohio State UniversityAccessibilityPrivacy PolicyHelpLogin. diff --git a/src/data/compiled_bios/4083.txt b/src/data/compiled_bios/4083.txt new file mode 100644 index 0000000000..52168f7b64 --- /dev/null +++ b/src/data/compiled_bios/4083.txt @@ -0,0 +1 @@ +Yang Wang. Assistant Professor, Computer Science & Engineering. 689 Dreese Laboratories. 2015 Neil Ave. Columbus,. OH. 43210. 614-292-2577. wang.7564@osu.edu. http://web.cse.ohio-state.edu/~yangwang/. Papers in Proceedings2018. Ma, S.; Yang, W.; Wang, Y.. "Accurate Timeout Detection Despite Arbitrary Processing Delays.". in USENIX Annual Technical Conference (ATC) 2018.. (7. 2018).. 2017. Zhou, F.. "wPerf: Identifying Critical Waiting in Multi-threaded Applications (Poster).". in ACM Student Research Competition (SRC 17).. (10. 2017).. 2016. Shi, R.; Yang, W.; Wang, Y.. "Cheap and Available State Machine Replication.". in USENIX ATC 2016.. (6. 2016).. 2015. Chao Xie, Chunzhi Su, Cody Littley, Lorenzo Alvisi, Manos Kapritsos, Yang Wang. "High-Performance ACID via Modular Concurrency Control.". in Proceedings of the 25th Symposium on Operating Systems Principles.. (10. 2015).. Xie, C.; Su, C.; Littley, C.; Alvisi, L. et al.. "High-Performance ACID via Modular Concurrency Control.". in SOSP 2015.. (10. 2015).. Department ofComputer Science and Engineering395 Dreese Laboratories2015 Neil AvenueColumbus, OH 43210-1277(614) 292-5813 Phone(614) 292-2911 Fax. Support CSE. Invest in a Buckeye. Your gift will make a difference.. Connect. facebookyoutube. 2019 The Ohio State UniversityAccessibilityPrivacy PolicyHelpLogin. diff --git a/src/data/compiled_bios/4084.txt b/src/data/compiled_bios/4084.txt new file mode 100644 index 0000000000..1c4439e6f1 --- /dev/null +++ b/src/data/compiled_bios/4084.txt @@ -0,0 +1 @@ +Yusu Wang. Professor, Computer Science & Engineering. 487 Dreese Laboratories. 2015 Neil Ave. Columbus,. OH. 43210. 614-292-1309. wang.1016@osu.edu. http://web.cse.ohio-state.edu/~yusu. Honors. November, 2015. Best Paper Award.. July, 2015. Mark Fulk Award (Best Student Paper Award).. May, 2011. College of Engineering Lumley Research Award.. October, 2010. 3rd Best Paper Award.. January, 2006-January, 2009. Early Career Principal Investigator (ECPI) Award.. January, 2008. NSF Career Award (2008).. January, 2008. Top Reviewer for the journal Computaional Geometry: Theory and Applications.. January, 2004. Best Dissertation Award.. Chapters2011. 2011.. "Enhanced Topology-sensitive Clustering by Reeb Graph Shattering.". In Topological Methods in Data Analysis and Visualization II,. edited by R. Peikert; H. Hauser; H. Carr; R. Fchs,. 2008. 2008.. "Visual Analysis of Biomolecular Surfaces.". In Visualization in Medicine and Life Sciences,. edited by L. Linsen, H. Hagen, and B. Hamann,. Journal Articles2014. Harvey, W.; Park, I.; Rubel, O.; Pascucci, V. et al.,. 2014,. "A collaborative visual analytics suite for protein folding research.". Journal of Molecular Graphics and Modelling (JMG). 53,. 2013. Dey,Tamal,K; Wang,Yusu,. 2013,. "Reeb Graphs: Approximation and Persistence.". DISCRETE & COMPUTATIONAL GEOMETRY. 49,. no. 1,. 46-73 -. 46-73.. Dey, T.; Fan, F.; Wang, Y.,. 2013,. "An efficient computation of handle and tunnel loops via Reeb graphs.". ACM Trans. Graph. (Special issue from SIGGRPH 2013). 32,. no. 4,. 2012. Dey,Tamal,K; Ranjan,Pawas; Wang,Yusu,. 2012,. "Eigen deformation of 3D models.". VISUAL COMPUTER. 28,. no. 6-8,. 585-595 -. 585-595.. Dey,T,K; Ge,X; Que,Q; Safa,I; Wang,L; Wang,Y,. 2012,. "Feature-Preserving Reconstruction of Singular Surfaces.". COMPUTER GRAPHICS FORUM. 31,. no. 5,. 1787-1796 -. 1787-1796.. Luo,Chuanjiang; Safa,Issam; Wang,Yusu,. 2012,. "Feature-aware streamline generation of planar vector fields via topological methods.". COMPUTERS & GRAPHICS-UK. 36,. no. 6,. 754-766 -. 754-766.. Sun,Hong; Sacan,Ahmet; Ferhatosmanoglu,Hakan; Wang,Yusu,. 2012,. "Smolign: A Spatial Motifs-Based Protein Multiple Structural Alignment Method.". IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS. 9,. no. 1,. 249-261 -. 249-261.. 2011. H. Sun, A. Sacan, H. Ferhatosmanoglu and Y. Wang,. 2011,. "Smolign: A Spatial Motifs Based Protein Multiple Structural Alignment Method.". IEEE//ACM Transactions on Computational Biology and Bioinformatics. 2010. Harvey, W.; Wang, Y.,. 2010,. "Generating and Exploring a Collection of Topological Landscapes for Visualization of Scalar-Valued Functions.". Comput. Graph. Forum. 29,. no. 3,. Dey, T.K.; Li, K.; Luo, C.; Ranjan, P. et al.,. 2010,. "Persistent Heat Signature for Pose-oblivious Matching of Incomplete Models.". Computer Graphics Forum. 29,. no. 5,. Agarwal, P.K.; Har-Peled, S.; Sharir, M.; Wang, Y.,. 2010,. "Hausdorff distance under translation for points and balls.". ACM Transactions on Algorithms. 6,. no. 4,. Dey, T.K.; Li, K.; Luo, C.; Ranjan, P. et al.,. 2010,. "Persistent Heat Signature for Pose-oblivious Matching of Incomplete Models.". COMPUTER GRAPHICS FORUM. 29,. no. 5,. Harvey, W.; Wang, Y.,. 2010,. "Topological Landscape Ensembles for Visualization of Scalar-Valued Functions.". COMPUTER GRAPHICS FORUM. 29,. no. 3,. Agarwal,Pankaj,K; Har-Peled,Sariel; Sharir,Micha; Wang,Yusu,. 2010,. "Hausdorff Distance under Translation for Points and Balls.". ACM TRANSACTIONS ON ALGORITHMS. 6,. no. 4,. 71 -. 71.. O. Busaryev, T. K. Dey and Y. Wang,. 2010,. "Tracking a generator by persistence.". Discrete Mathematics, Algorithms and Applications. 2,. no. 4,. 539-554 -. 539-554.. 2009. Wang,Yusu,. 2009,. "RELATIONS BETWEEN TWO COMMON TYPES OF RECTANGULAR TILINGS.". INTERNATIONAL JOURNAL OF COMPUTATIONAL GEOMETRY & APPLICATIONS. 19,. no. 2,. 161-172 -. 161-172.. Luo,Chuanjiang; Safa,Issam; Wang,Yusu,. 2009,. "Approximating Gradients for Meshes and Point Clouds via Diffusion Metric.". COMPUTER GRAPHICS FORUM. 28,. no. 5,. 1497-1508 -. 1497-1508.. Luo, C.; Safa, I.; Wang, Y.,. 2009,. "Approximating Gradients for Meshes and Point Clouds via Diffusion Metric.". Comput. Graph. Forum. 28,. no. 5,. Luo,Chuanjiang; Sun,Jian; Wang,Yusu,. 2009,. "Integral Estimation from Point Cloud in d-Dimensional Space: A Geometric View.". PROCEEDINGS OF THE TWENTY-FIFTH ANNUAL SYMPOSIUM ON COMPUTATIONAL GEOMETRY (SCG'09). ??,. 116-124 -. 116-124.. 2008. Wang,Yusu,. 2008,. "Approximating nearest neighbor among triangles in convex position.". INFORMATION PROCESSING LETTERS. 108,. no. 6,. 379-385 -. 379-385.. Sun, H.; Ferhatomanoglu, H.; Ota, M.; Wang, Y.,. 2008,. "An Enhanced Partial Order Curve Comparison Algorithm and its Application to Analyzing Protein Folding Trajectories.". BMC Bioinformatics. 9,. Yusu Wang,. 2008,. "Approximating Nearest Neighbor Among Triangles in Convex Position.". Information Processing Letters. 108,. no. 6,. 379-385 -. 379-385.. Natarajan,Vijay; Koeh,Patrice; Wang,Yusu; Hamann,Bernd,. 2008,. "Visual analysis of biomolecular surfaces.". VISUALIZATION IN MEDICINE AND LIFE SCIENCES. ??,. 237-? -. 237-?.. Sun,Hong; Ferhatosmanoglu,Hakan; Ota,Motonori; Wang,Yusu,. 2008,. "An enhanced partial order curve comparison algorithm and its application to analyzing protein folding trajectories.". BMC BIOINFORMATICS. 9,. 344 -. 344.. Zheng,Zizhan; Fan,Kai-Wei; Sinha,Prasun; Wang,Yusu,. 2008,. "Distributed Roadmap Aided Routing in Sensor Networks.". 2008 FIFTH IEEE INTERNATIONAL CONFERENCE ON MOBILE AD-HOC AND SENSOR SYSTEMS, VOLS 1 AND 2. ??,. 334-339 -. 334-339.. 2007. Guibas,Leonidas,J; Wang,Yusu,. 2007,. "Toward unsupervised segmentation of semi-rigid low-resolution molecular surfaces.". ALGORITHMICA. 48,. no. 4,. 433-448 -. 433-448.. P. K. Agarwal, H. Edelsbrunner, J. Harer, and Y. Wang,. 2007,. "Extreme Elevation on a 2-Manifold.". Discrete and Computational Geometry. 36,. no. 4,. 553-572 -. 553-572.. P. K. Agarwal, N. Mustafa, and Y. Wang,. 2007,. "Efficient Algorithms for Contact-map Overlap Problem.". Journal of Computational Biology. 14,. no. 2,. 131-143 -. 131-143.. P. K. Agarwal, Y. Wang, and H. Yu,. 2007,. "A Two-Dimensional Kinetic Triangulation with Near-Quadratic Topological Changes.". Discrete and Computational Geometry. 36,. no. 4,. 573-592 -. 573-592.. Wu,Huaizhi; Wong,Martin,DF; Liu,I-Min; Wang,Yusu,. 2007,. "Placement-proximity-based voltage island grouping under performance requirement.". IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS. 26,. no. 7,. 1256-1269 -. 1256-1269.. Sun,Hong; Ferhatosmanoglu,Hakan; Ota,Motonori; Wang,Yusu,. 2007,. "Enhanced partial order curve comparison over multiple protein folding trajectories..". Computational systems bioinformatics / Life Sciences Society. Computational Systems Bioinformatics Conference. 6,. 299-310 -. 299-310.. Guibas, L.J.; Wang, Y.,. 2007,. "Towards Unsupervised Segmentation of Semi-rigid Low-Resolution Molecular Surfaces.". Algorithmica. 48,. no. 4,. Wu, H.; Wong, M.; Liu, I.; Wang, Y.,. 2007,. "Placement-Proximity-Based Voltage Island Grouping under Performance Requirement.". IEEE Trans. Computer-Aided Design of Integrated Circuits and Systems.. 26,. no. 7,. Sacan, A.; Ozturk, O.; Ferhatosmanoglu, H.; Wang, Y.,. 2007,. "LFM-Pro: A Tool for Detecting Significant Local Structural Sites in Proteins.". Bioinformatics. 23,. no. 6,. 2006. Wang,Yusu; Guibas,Leonidas,J,. 2006,. "Towards unsupervised segmentation of semi-rigid low-resolution molecular surfaces.". GEOMETRIC MODELING AND PROCESSING - GMP 2006, PROCEEDINGS. 4077,. 129-142 -. 129-142.. Aronov,Boris; Har-Peled,Sariel; Knauer,Christian; Wang,Yusu; Wenk,Carola,. 2006,. "Frechet distance for curves, revisited.". ALGORITHMS - ESA 2006, PROCEEDINGS. 4168,. 52-63 -. 52-63.. Natarajan, V.; Wang, Y.; Bremer, P-T.; Pascucci, V. et al.,. 2006,. "Segmenting Molecular Surfaces.". Computer Aided Geometric Design. 23,. Wang,Yusu,. 2006,. "Relations between two common types of rectangular tilings.". ALGORITHMS AND COMPUTATION, PROCEEDINGS. 4288,. 193-202 -. 193-202.. 2005. P. K. Agarwal, S. Har-Peled, N. Mustafa, and Y. Wang,. 2005,. "Near-linear Time Approximation Algorithms for Curve Simplification in Two and Three-dimensions.". Algorithmica. 42,. no. 3 / 4,. 203-221 -. 203-221.. 2004. Agarwal, P.K.; Edelsbrunner, H.; Wang, Y.,. 2004,. "Computing the Writhing Number of a Polygonal Knot.". Discrete and Computational Geometry. 32,. no. 1,. Har-Peled, S.; Wang, Y.,. 2004,. "Shape Fitting with Outliers.". SIAM Journal on Computing. 33,. no. 2,. Agarwal,P,K; Edelsbrunner,H; Wang,Y,. 2004,. "Computing the writhing number of a polygonal knot.". DISCRETE & COMPUTATIONAL GEOMETRY. 32,. no. 1,. 37-53 -. 37-53.. Har-Peled,S; Wang,Y,S,. 2004,. "Shape fitting with outliers.". SIAM JOURNAL ON COMPUTING. 33,. no. 2,. 269-285 -. 269-285.. Unknown. Belkin, M.; Que, Q.; Wang, Y.; Zhou, X.,. "Graph Laplacians on Singular Manifolds: Toward understanding complex. spaces: graph Laplacians on manifolds with singularities and boundaries.". JMLR W&CP 23: 36.1 - 36.26, 2012. Luo, C, Safa, I, Wang, Y,. "Feature-aware Streamline Generation of Planar Vector Fields via Topological Meths.". Computer and Graphics. Gasparovic, E.; Gommel, M.; Purvine, E.; Sazdanovic, R. et al.,. "A Complete Characterization of the 1-Dimensional Intrinsic Cech. Persistence Diagrams for Metric Graphs.". Dey, T.K.; Memoli, F.; Wang, Y.,. "Mutiscale Mapper: A Framework for Topological Summarization of Data and. Maps.". Presentations. "Analyzing biological data via topological terrain metaphor.". 2016,. Presented at SIAM Conference on the Life Scence,. "Noise in data: A geometric perspective.". 2016,. Presented at NSF-CBMS Regional Research Conference on Topological Data Analysis,. "Comparing graphs via persistence distortion.". 2015,. Presented at Obervolfach workshop on computational geometric and algebraic topology,. "Analyzing biological data via topological terrain metaphor.". 2015,. Presented at MBI Workshop on Geometric and Topological modeling of biomolecules,. "Topological methods in Neuron Analysis.". 2016,. Presented at ACM-BCB 2016,. "Topological methods in protein structure analysis.". 2006,. Presented at Workshop on Application of Topology in Science and Engineering,. "Laplace Operator and it Applications, A geometric View.". 2009,. Presented at Workshop on Geometric Network Distances,. "Spectral processing based on Laplace-Beltrami operator.". 2011,. Presented at SIAM Conference on Geometric and Physical Modeling,. "isualizing and Exploring Molecular Simulation Data via Topological Methods.". 2011,. Presented at SIAM Conference on Geometric and Physical Modeling,. "Geometric methods in protein structure analysis.". 2007,. Presented at Joint Seminar at Biomedical Engineering Dept and Computer Science Dept, University of Illinois at Chicago,. "Partial Curve Matching via Frechet Distance.". 2007,. Presented at Workshop on Computational Geometry,. "Discrete Laplace Operator: From PCD to Meshes and Back to PCD.". 2008,. Presented at Computer Science and Engineering Dept, The Ohio State University,. "Laplace, Gradients, and Integral from Point Clouds Data --- A Geometric View.". 2010,. Presented at Lawrance Berkeley National Lab,. "Towards understanding more complex data -- Graph Laplacians on Singular Manfolds.". 2011,. Presented at Fields Institute Workshop on Computational Topology,. "Towards understanding more complex data -- Graph Laplacians on Singular Manfolds.". 2012,. Presented at AMS Annual Joint Mathematics Meetings,. "Approximating Laplace Operator, Integrals, and Gradients in Non-statistical Settings.". 2009,. Presented at Workshop on Data Analysis using Computational Topology and Geometric Statistics,. "Laplace, Gradients, and Integrals from Point Cloud Data ---A Geometric View.". 2009,. Presented at Graphics seminar, Computer Science Dept., Zhejiang University,. "Laplace, Gradients, and Integrals from Point Cloud Data ---A Geometric View.". 2009,. Presented at Microsoft Research Asia, Beijing, China,. "Geometric and Topological Processing of Molecular Simulation Data.". 2011,. Presented at OSC (Ohio Supercomputer Center) SUG meeting,. "Topological methods in protein structure analysis.". 2007,. Presented at Math Department, Cleveland State University,. "Laplace, Gradients, and Integrals from Point Cloud Data ---A Geometric View.". 2009,. Presented at Computer Science Graphics seminar, Tsinghua Univerity,. "Laplace, Gradients, and Integrals from Point Cloud Data ---A Geometric View.". 2009,. Presented at Applied Math sminar, OSU,. "Visualizing and Exploring Molecular Simulation Data via Protein Energy Landscape Metaphor.". 2013,. Presented at Evolutionary Biology seminar at IST,. "Using Gaussian-Weighted Graph Laplacian for Geometric Shape Processing.". 2013,. Presented at SIAM Conference on Applied Algebraic Geometry,. "Measuring Distance Between Reeb Graphs.". 2013,. Presented at IMA Workhop on Modern Applications of Homology and Cohomology,. "Visualizing and Exploring Molecular Simulation Data via Protein Energy Landscape Metaphor.". 2013,. Presented at IMA Workshop on Topological Structures in Computational Biology,. "Spectral Point Clouds Processing Based on Laplace-Beltrami Operator.". 2014,. Presented at Geometry, Topology and Data Seminar at Math dept. at OSU,. "Some Topics in Computational Topology.". 2014,. Presented at AMS (American Math Society) annual joint meeting,. "Reeb graphs, Approximation and Stability.". 2014,. Presented at 48th Spring Topology and Dynamics Conference,. "Data Sparsification for Homology Inference.". 2014,. Presented at SAMSI Workshop on LDHD: Topological Data Analysis,. "Data Sparsification for Homology Inference.". 2014,. Presented at Workshop on Topological Data Analysis,. "Analyzing biological data via topological terrain metaphors.". 2014,. Presented at Workshop on Persistence homology for bio-science,. "Comparing graphs via persistence distortion.". 2015,. Presented at Geometric Computing group seminar, Stanford University,. "Data Sparsification for Homology Inference.". 2015,. Presented at Department Colloquium, UC Davis, CS Dept.,. "Comparing graphs via persistence distortion.". 2015,. Presented at AWM Research Symposium,. "Comparing graphs via persistence distortion.". 2015,. Presented at Theory group seminar, U. Maryland College Park, CS Dept.,. "Discrete Laplace Operator: From PCD to Meshes and Back to PCD.". 2008,. Presented at Computer Science Dept., National University of Singapore,. "Understanding the Gaussian-weighted Graph Laplacian.". 2012,. Presented at IST Geom/Top seminar,. "Comparing graphs via persistence distortion.". 2014,. Presented at Applied Topology Research Network online seminar series,. "Laplace, Gradients, and Integral from Point Clouds Data --- A Geometric View.". 2010,. Presented at Lawrance Livermore National Lab,. "Understanding the Gaussian-weighted Graph Laplacian.". 2012,. Presented at BIRS (Banff International Reseach Station) Workshop on "Topological data analysis and machine learning theory",. "Analyzing biological data via topological terrain metaphors.". 2014,. Presented at Department Colloquium, U. Arizona, CS Dept.,. "Declutter and Resample: Towards parameter free denoising.". 2016,. Presented at IPAM Workshop on Shape Analysis and Learning by Geometry and Machine,. "Topological methods in protein structure analysis.". 2007,. Presented at Computer Science Department, University of Texas at San Antonio,. "Geometric methods in protein structure analysis.". 2007,. Presented at Computer Science Department, University of Arizona,. "Spectral Point Clouds Procesing Based on Laplace-Beltrami Operator.". 2012,. Presented at Workshop SIGMA at CIRM, France,. "Metric denoising: A geometric view.". 2017,. Presented at Theory group seminar at IBM Almalden Research,. Papers in Proceedings2018. Agarwal, P.K.; Kyle, F.O.X.; Nath, A.; Sidiropoulos, A. et al.. "Computing the gromov-hausdorff distance for metric trees.". (6. 2018).. Agarwal, P.K.; Fox, K.; Nath, A.; Sidiropoulos, A. et al.. "Computing the Gromov-Hausdorff Distance for Metric Trees.". (6. 2018).. Agarwal, P.K.; Fox, K.; Nath, A.; Sidiropoulos, A. et al.. "Computing the Gromov-Hausdorff Distance for Metric Trees.". (6. 2018).. 2017. Sidiopoulos, A, Wang, D, Wang, Y. "Metric denosing with outliers.". in SIAM-ACM Symposium on Discrete Algorithms (SoDA).. (1. 2017).. Sidiropoulos, A.; Wang, D.; Wang, Y.. "Metric embeddings with outliers.". (1. 2017).. Dey, T.K.; Dong, Z.; Wang, Y.. "Parameter-free topology inference and sparsification for data on manifolds.". in ACM / SIAM Symposium on Discrete Algorithms (SoDA).. (1. 2017).. Dey, T.K.; Memoli, F.; Wang, Y.. "Topological Analysis of Nerves, Reeb Spaces, Mappers, and Multiscale Mappers.". in Symposium on Computational Geometry (SoCG).. (7. 2017).. Dey, TK, Dong Z, Wang Y. "Parameter-free Topology Inference and Sparsification for Data on Manifolds.". in SIAM-ACM Symposium on Discrete Algorithms.. (1. 2017).. Sidiropoulos, A.; Wang, D.; Wang, Y.. "Metric embeddings with outliers.". in SIAM/ACM Symposium on Discrete Algorithms (SoDA).. (1. 2017).. Sidiropoulos, A.; Wang, D.; Wang, Y.. "Metric embeddings with outliers.". in 28th Annual ACM-SIAM Symposium on Discrete Algorithms.. (1. 2017).. Sidiropoulos, A.; Wang, D.; Wang, Y.; ACM,. "Metric embeddings with outliers.". (1. 2017).. Dey, T.K.; Mmoli, F.; Wang, Y.. "Topological analysis of nerves, reeb spaces, mappers, and multiscale mappers.". (6. 2017).. 2016. Eldridge, J.; Belkin, M.; Wang, Y.. "Graphons, mergeons, and so on!.". (1. 2016).. Justin Eldridge, Mikhail Belkin and Yusu Wang. "Graphons, mergons, and so on!.". in 30th Annu. Conf. Neural Infor. Processing Sys. (NIPS) (Oral Presentation).. (12. 2016).. T. K. Dey, F. Memoli and Y. Wang. "Multiscale Mapper: Topological Summarization via Codomain Covers.". in SIAM/ACM Sympos. Discrete Alg. (SoDA).. (1. 2016).. Eldridge, J.; Belkin, M.; Wang, Y.. "Graphons, mergons, and so on!.". in 30th Annu. Conf. Neural Infor. Processing Sys. (NIPS) (Oral Presentation).. (12. 2016).. Dey, T.K.; Wang, Y.; Shi, D.. "SimBa: An Efficient Tool for Approximating Rips-Filtration Persistence via Simplicial Batch-Collapse.". in European Symposium on Algorithms (ESA).. (9. 2016).. 2015. Agarwal, P.K.; Fox, K.; Nath, A.; Sidiropoulos, A. et al.. "Computing the Gromov-Hausdorff distance for metric trees.". (1. 2015).. M. Buchet, F. Chazal, T. Dey, F. Fan, S. Oudot and Y. Wang. "Topological analysis of scalar fields with outliers.". in Symposium on Computational Geometry (SoCG).. (6. 2015).. S. Wang, Y. Li and Y. Wang. "Efficient map reconstruction and augmentation via topological methods.". in 23rd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL/GIS).. (11. 2015).. U. Bauer, E. Munch and Y. Wang. "Strong equivalence of the interleaving and functional distortion metrics for Reeb graphs.". in Symposium on Computational Geometry (SoCG).. (6. 2015).. P. K. Agarwal, K. Fox, A. Nath, A. Sidiropoulos and Y. Wang. "Computing the Gromov-Hausdorff Distance for Metric Trees.". in 26th International Symposium on Algorithms and Computation (ISAAC 2015).. (12. 2015).. P.K. Agarwal, T. Molhave, M. Revsbak, I. Safa, Y. Wang and J. Yang. "Maintaining contour trees of dynamic terrains.". in Symposium on Computational Geometry (SoCG).. (6. 2015).. Agarwal, P.K.; Fox, K.; Nath, A.; Sidiropoulos, A. et al.. "Computing the Gromov-Hausdorff Distance for Metric Trees.". in 26th International Symposium on Algorithms and Computation (ISAAC).. (1. 2015).. T. K.Dey, D. Shi and Y. Wang. "Comparing graphs via persistence distortion.". in Symposium on Computational Geometry (SoCG).. (6. 2015).. J. Eldridge, M. Belkin and Y. Wang. "Beyond Hartigan consistency: Merge distortion metric for hierarchical clustering.". in Conf. Learning Theory (COLT).. (7. 2015).. Eldridge, J.; Belkin, M.; Wang, Y.. "Beyond hartigan consistency: Merge distortion metric for hierarchical clustering.". (1. 2015).. Agarwal, P.K.; Fox, K.; Nath, A.; Sidiropoulos, A. et al.. "Computing the Gromov-Hausdorff Distance for Metric Trees.". (1. 2015).. 2014. Qichao Que, Mikhai Belkin and Yusu Wang. "Learning with Fredholm Kernels.". in 28th Annual Conference on Neural Information Processing Systems (NIPS).. (12. 2014).. Ulrich Bauer, Xiaoyin Ge, and Yusu Wang. "Measuring Distance between Reeb Graphs.". in ACM Sympos. Comput. Geom. (SoCG).. (6. 2014).. T. K. Dey, F. Fan, Y. Wang. "Computing Topological Persistence for Simplicial Maps.". in ACM Sympos. Comput. Geom. (SoCG).. (6. 2014).. Suyi Wang, Yusu Wang and Raphael Wenger. "The JS-graphs of Join and Split Trees.". in ACM Sympos. Comput. Geom. (SoCG).. (6. 2014).. 2013. Tamal K. Dey, Fengta Fan and Yusu Wang. "Graph induced complex on point data.". in ACM Sympos. Comput. Geom. (SoCG).. (6. 2013).. Dey,Tamal,K; Ranjan,Pawas; Wang,Yusu. "Weighted graph Laplace operator under Topological noise.". in ACM/SIAM Symposium on Discrete Algorithms.. (1. 2013).. Dey, T.K.; Ranjan, P.; Wang, Y.. "Weighted graph laplace operator under topological noise.". (4. 2013).. Erin Chambers and Yusu Wang. "Measuring similarity between curves on 2-manifolds via homotopy area.". in ACM Sympos. Comput. Geom. (SoCG).. (6. 2013).. 2012. Belkin, M.; Que, Q.; Wang, Y.; Zhou, X.. "Toward understanding complex spaces: Graph laplacians on manifolds with singularities and boundaries.". (1. 2012).. Dey, T, Ranjan, P, Wang, Y. "Eigen Deformation of 3D Models.". in Computer Grapics International 2012.. (6. 2012).. Ousaryev, O, Cabello, S, Chen, C, Dey, T, Wang, Y. "Annotating Simplices with a Homology Basis and Its Applications.". in 13th Scandinavian Symposium and Workshops on Algorithm Theory.. (7. 2012).. Belkin, M, Que Q, Wang, Y, Zhou, X. "Towards understanding complex spaces: graph Lapacians on manifolds with singularities and boundaries.". in 25th Conference on Learning Theory.. (6. 2012).. 2011. W. Harvey, O. Rubel, V. Pascucci, P. -T. Bremer and Y. Wang. "Enhanced Topology-sensitive Clustering by Reeb Graph Shattering.". in TopoInVis.. (1. 2011).. Ge, X.; Safa, I.; Belkin, M.; Wang, Y.. "Data skeletonization via Reeb graphs.". (12. 2011).. Dey, T.K.; Wang, Y.. "Reeb graphs: Approximation and persistence.". (7. 2011).. Ge, X, Safa, I, Belkin, M, Wang, Y. "Data Skeletonization via Reeb Graphs.". in Twenty-Fifth Annual Conference on Neural Information Processing Systems.. (12. 2011).. Dey,Tamal,K; Wang,Yusu. "Reeb Graphs: Approximation and Persistence.". in 27th Annual ACM Symposium on Computational Geometry.. (6. 2011).. 2010. Busaryev,Oleksiy; Dey,Tamal,K; Wang,Yusu. "Tracking a Generator by Persistence.". in 16th Annual International Computing and Combinatorics Conference.. (1. 2010).. Dey,Tamal,K; Sun,Jian; Wang,Yusu. "Approximating Loops in a Shortest Homology Basis from Point Data.". in 26th Annual Symposium on Computational Geometry.. (1. 2010).. Harvey,William; Wang,Yusu; Wenger,Rephael. "A Randomized O(m log m) Time Algorithm for Computing Reeb Graphs of Arbitrary Simplicial Complexes.". in 26th Annual Symposium on Computational Geometry.. (1. 2010).. Dey,Tamal,K; Ranjan,Pawas; Wang,Yusu. "Convergence, Stability, and Discrete Approximation of Laplace Spectra.". in 21st Annual ACM/SIAM Symposium on Discrete Algorithms.. (1. 2010).. 2009. Belkin,Mikhail; Sun,Jian; Wang,Yusu. "Constructing Laplace Operator from Point Clouds in R-d.". in 20th Annual ACM-SIAM Symposium on Discrete Algorithms.. (1. 2009).. M. Belkin, J. Sun, and Y. Wang. "Constructing Laplace Operator from Point Cloud Data in R^d.". in SIAM/ACM Symposium on Discrete Algorithms (SoDA).. (1. 2009).. Belkin, M.; Sun, J.; Wang, Y.. "Constructing Laplace Operator from Point Clouds in R-d.". in 20th Annual ACM-SIAM Symposium on Discrete Algorithms.. (1. 2009).. Luo,Chuanjiang; Safa,Issam; Wang,Yusu. "Approximating Gradients for Meshes and Point Clouds via Diffusion Metric.". in 7th Eurographics Symposium on Geometry Processing (SGP).. (7. 2009).. Buchin,Kevin; Buchin,Maike; Wang,Yusu. "Exact Algorithms for Partial Curve Matching via the Frechet Distance.". in 20th Annual ACM-SIAM Symposium on Discrete Algorithms.. (1. 2009).. Belkin, M.; Sun, J.; Wang, Y.. "Constructing laplace operator from point clouds in d.". (9. 2009).. Wang,Yusu. "RELATIONS BETWEEN TWO COMMON TYPES OF RECTANGULAR TILINGS.". in 17th International Symposium on Algorithms and Computation (ISAAC 2006).. (4. 2009).. Luo,Chuanjiang; Sun,Jian; Wang,Yusu. "Integral Estimation from Point Cloud in d-Dimensional Space: A Geometric View.". in 25th Annual Symposium on Computational Geometry.. (1. 2009).. Belkin, M.; Sun, J.; Wang, Y.; SIAM, A.C.M.. "Constructing Laplace Operator from Point Clouds in R-d.". (1. 2009).. 2008. Belkin,Mikhail; Sun,Jian; Wang,Yusu. "Discrete Laplace Operator on Meshed Surfaces.". in 24th Annual Symposium on Computational Geometry.. (1. 2008).. Zheng,Zizhan; Fan,Kai-Wei; Sinha,Prasun; Wang,Yusu. "Distributed Roadmap Aided Routing in Sensor Networks.". in 5th IEEE International Conference on Mobile Ad-Hoc and Sensor Systems.. (1. 2008).. Natarajan,Vijay; Koeh,Patrice; Wang,Yusu; Hamann,Bernd. "Visual analysis of biomolecular surfaces.". in Workshop on Visualization in Medicine and Life Sciences.. (1. 2008).. Zheng, Z.; Fan, K-W.; Sinha, P.; Wang, Y. et al.. "Distributed Roadmap Aided Routing in Sensor Networks.". (1. 2008).. Zheng, Z.; Fan, K-W.; Sinha, P.; Wang, Y.. "Distributed Roadmap Aided Routing in Sensor Networks.". in 5th IEEE International Conference on Mobile Ad-Hoc and Sensor Systems.. (1. 2008).. 2007. H. Sun, H. Ferhatosmanoglu, M. Ota, and Y. Wang. "An Enhanced Partial Order Curve Comparison over Multiple Protein Folding Trajectories.". in Intl. Conf. Computational Systems Bioinformatics.. (1. 2007).. 2006. Wang,Yusu; Guibas,Leonidas,J. "Towards unsupervised segmentation of semi-rigid low-resolution molecular surfaces.". in 4th International Conference on Geometric Modeling and Processing (GMP 2006).. (1. 2006).. Aronov,Boris; Har-Peled,Sariel; Knauer,Christian; Wang,Yusu; Wenk,Carola. "Frechet distance for curves, revisited.". in 14th Annual European Symposium on Algorithms (ESA 2006).. (1. 2006).. Funke,Stefan; Guibas,Leonidas,J; Nguyen,An; Wang,Yusu. "Distance-sensitive information brokerage in sensor networks.". in 2nd IEEE International Conference on Distributed Computing in Sensor Systems.. (1. 2006).. Wang,Yusu. "Relations between two common types of rectangular tilings.". in 17th International Symposium on Algorithms and Computation (ISAAC 2006).. (1. 2006).. Agarwal,Pankaj,K; Wang,Yusu; Yu,Hai. "A two-dimensional kinetic triangulation with near-quadratic topological changes.". in 20th ACM Symposium on Computational Geometry.. (12. 2006).. Agarwal,Pankaj,K; Edelsbrunner,Herbert; Harer,John; Wang,Yusu. "Extreme elevation on a 2-manifold.". in 20th ACM Symposium on Computational Geometry.. (12. 2006).. 2005. Wu,H,Z; Liu,I,M; Wong,M,DF; Wang,Y,S. "Post-placement voltage island generation under performance requirement.". in IEEE/ACM International Conference on Computer Aided Design.. (1. 2005).. Agarwal,Pankaj,K; Wang,Yusu; Yin,Peng. "Lower Bound for Sparse Euclidean Spanners.". in 16th Annual ACM-SIAM Symposium on Discrete Algorithms.. (1. 2005).. Wang,Y; Agarwal,P,K; BROWN,P; Edelsbrunner,H; Rudolph,J. "Coarse and reliable geometric alignment for protein docking.". in 10th Annual Pacific Symposium on Biocomputing (PSB).. (1. 2005).. 2004. P. K. Agarwal, H. Edelsbrunner, J. Harer, and Y. Wang. "Extreme Elevation on a 2-Manifold.". in ACM Symposium on Computational Geometry (SoCG).. (1. 2004).. P. K. Agarwal, Y. Wang and H. Yu. "A 2D Kinetic Triangulation with Near-Quadratic Topological Changes.". in ACM Symposium on Computational Geometry (SoCG).. (1. 2004).. 2003. Agarwal, P. K, Har-Peled, S, Sharir, M, Wang, Y. "Hausdorff Distance under Tranlation for Points and Balls.". in ACM Sympos. Computational Geometry (SoCG).. (6. 2003).. S. Har-Peled and Y. Wang. "Shape Fitting with Outliers.". in ACM Symposium on Computational Geometry (SoCG).. (1. 2003).. 2002. Agarwal,P,K; Har-Peled,S; Mustafa,N,H; Wang,Y,S. "Near-linear time approximation algorithms for curve simplification.". in 10th Annual European Symposium on Algorithms (ESA 2002).. (1. 2002).. Agarwal,P,K; Edelsbrunner,H; Wang,Y,S. "Computing the writhing number of a polygonal knot.". in 13th Annual ACM/SIAM Symposium on Discrete Algorithms.. (1. 2002).. 2001. Y. Wang, P. K. Agarwal, and S. Har-Peled. "Occlusion Culling for Fast Walkthrough in Urban Areas.". in EuroGraphics.. (1. 2001).. Unknown. Buchet, M, Dey, TK, Wang, J, Wang, Y. "Declutter and Resample: Towards parameter free denoising.". in Symposium on Computational Geometry (SoCG).. Ni, X, Quadrianto, N, Wang, Y, Chen, C. "Composing Tree Graphical Models with Persistent Homology Features for Clustering Mixed-Type Data.". in 34th Intl.Conf. Machine Learning (ICML).. Dey, TK, Memoli, F, Wang Y. "Topological Analysis of Nerves, Reeb Spaces, Mappers, and Multiscale Mappers.". in Symposium on Computational Geometry (SoCG).. Buchet, M.; Dey, T.K.; Wang, J.; Wang, Y.. "Declutter and Resample: Towards parameter free denoising.". in Symposium on Computational Geometry (SoCG).. Dey, T.K.; Memoli, F.; Wang, Y.. "Topological Analysis of Nerves, Reeb Spaces, Mappers, and Multiscale. Mappers.". Eldridge, J.; Belkin, M.; Wang, Y.. "Graphons, mergeons, and so on!.". Eldridge, J.; Belkin, M.; Wang, Y.. "Beyond Hartigan Consistency: Merge Distortion Metric for Hierarchical. Clustering.". Agarwal, P.K.; Fox, K.; Nath, A.; Sidiropoulos, A. et al.. "Computing the Gromov-Hausdorff Distance for Metric Trees.". A. Sidiropoulos, D. Wang and Y. Wang. "Metric embeddings with outliers.". Sidiropoulos, A.; Wang, Y.. "Metric embedding with outliers.". Department ofComputer Science and Engineering395 Dreese Laboratories2015 Neil AvenueColumbus, OH 43210-1277(614) 292-5813 Phone(614) 292-2911 Fax. Support CSE. Invest in a Buckeye. Your gift will make a difference.. Connect. facebookyoutube. 2019 The Ohio State UniversityAccessibilityPrivacy PolicyHelpLogin. diff --git a/src/data/compiled_bios/4085.txt b/src/data/compiled_bios/4085.txt new file mode 100644 index 0000000000..899a0c499a --- /dev/null +++ b/src/data/compiled_bios/4085.txt @@ -0,0 +1 @@ +Rephael Wenger. Associate Professor, Computer Science & Engineering. Associate Chair, Computer Science & Engineering. 485 Dreese Laboratories. 2015 Neil Ave. Columbus,. OH. 43210. 614-292-6253. wenger.4@osu.edu. http://web.cse.ohio-state.edu/~wenger. Honors. May, 2012. Dept. of Computer Science 2012 Teaching Award.. CSE Undergraduate Research Faculty Advising Award.. Books2013. Rephael Wenger.. 2013.. "Isosurfaces: Geometry, Topology and Algorithms.". A.K. Peters/CRC Press.. Journal Articles2014. Chaudhuri, Abon, Lee, Teng-Yok, Shen, Han-Wei, Wenger, Rephael,. 2014,. "Exploring flow fields using space-filing analysis of streamlines.". IEEE Transactions on Visualization. 20,. no. 10,. 1392-1404 -. 1392-1404.. 2013. Bhattacharya, A, Wenger, R,. 2013,. "Constructing isosufaces with sharp edges and corners using cube merging.". Computer Graphics Forum. 32,. no. 3,. 11-20 -. 11-20.. 2010. Marc Khoury and Rephael Wenger,. 2010,. "On the Fractal Dimension of Isosurfaces.". IEEE Transactions on Visualization and Computer Graphics. 16,. 1198-1205 -. 1198-1205.. 2009. T.K. Dey, K. Li, E.A. Ramos, and R. Wenger,. 2009,. "Isotopic Reconstruction of Surfaces with Boundaries.". Computer Graphics Forum. 28,. no. 5,. 1371-1382 -. 1371-1382.. 2008. Sundaresan Raman and Rephael Wenger,. 2008,. "Quality isosurface mesh generation using an extended Marching Cubes lookup table.". Computer Graphics Forum. 27,. 791-798 -. 791-798.. 2007. Himanshu Gupta and Rephael Wenger,. 2007,. "Constructing pairwise disjoint paths with few links.". Transactions on Algorithms. 3,. 2006. M. Lin, L.T. Smith, D.J. Smiraglia, R. Kazhiyur-Mannar, J.C. Lang, D.E. Schuller, K. Kornacker, R. Wenger and C. Plass,. 2006,. "DNA copy number gains in head and neck squamous cell carcinoma.". Oncogene. 25,. 1424-1433 -. 1424-1433.. R. Kazhiyur-Mannar, D.J. Smiraglia, C. Plass and R. Wenger,. 2006,. "Contour area filtering of two-dimensional electrophoresis images.". Medical Image Analysis. 10,. 353-365 -. 353-365.. 2004. Praveen Bhaniramka and Rephael Wenger and Roger Crawfis,. 2004,. "Isosurface construction in any dimension using convex hulls.". IEEE Trans. on Vis. and Computer Graphics. 10,. 130-141 -. 130-141.. 2001. Janos Pach and Rephael Wenger,. 2001,. "Embedding planar graphs at fixed vertex locations.". Graphs and Combinatorics. 17,. 717-728 -. 717-728.. Papers in Proceedings2015. Bhattacharya, Arindam, Heinzl, Christoph, Amirkhanov, Artem, Kastner, Johann Wenger, Rephael. "MetaTracts - A method for robust extraction and visualizaton of carbon fiber bundles in fiber reinforced composites.". in IEEE Pacific Visualization Conference.. (4. 2015).. 2014. Wang, S, Wang, Y, Wenger, R.. "The JS-graphs of join and split trees.". in 2014 Symposium on Computational Geometry.. (6. 2014).. 2010. William Harvey, Yusu Wang and Rephael Wenger. "A randomized O(m log m) time algorithm for computing Reeb graphs of arbitrary simplicial complexes.". in Symposium on Computational Geometry.. (6. 2010).. Unknown. Arindam Bhattacharya and Rephael Wenger. "Constructing isosurfaces with sharp edges and corners using cube merging.". in Eurovis 2013.. Shen, H.W., Vasko, R., Wenger, R.. "Visualizing flow fields using fractal dimensions.". in EuroVis 2016.. Department ofComputer Science and Engineering395 Dreese Laboratories2015 Neil AvenueColumbus, OH 43210-1277(614) 292-5813 Phone(614) 292-2911 Fax. Support CSE. Invest in a Buckeye. Your gift will make a difference.. Connect. facebookyoutube. 2019 The Ohio State UniversityAccessibilityPrivacy PolicyHelpLogin. diff --git a/src/data/compiled_bios/4086.txt b/src/data/compiled_bios/4086.txt new file mode 100644 index 0000000000..b66bf4f6a4 --- /dev/null +++ b/src/data/compiled_bios/4086.txt @@ -0,0 +1 @@ +Wei Xu. Assistant Professor, Computer Science & Engineering. 495 Dreese Laboratories. 2015 Neil Avenue. Columbus,. OH. 43210-1277. 495 Dreese Laboratories. 2015 Neil Avenue. Columbus,. OH. 43210. 614-292-3083. xu.1265@osu.edu. http://web.cse.ohio-state.edu/~weixu/. Journal Articles2016. Xu, W.; Napoles, C.; Pavlick, E.; Chen, Q. et al.,. 2016,. "Optimizing Statistical Machine Translation for Text Simplification.". Transactions of the Association for Computational Linguistics. 4,. 401-415 -. 401-415.. 2015. Xu, W.; Callison-Burch, C.; Napoles, C.,. 2015,. "Problems in Current Text Simplification Research: New Data Can Help.". Transactions of the Association for Computational Linguistics. 3,. 283-297 -. 283-297.. Papers in Proceedings2016. *Tabassum, J.; Ritter, A.; Xu, W.. "Tweetime: A minimally supervised method for recognizing and normalizing time expressions in twitter.". in Empirical Methods in Natural Language Processing.. (1. 2016).. Tabassum, J.; Ritter, A.; Xu, W.. "A Minimally Supervised Method for Recognizing and Normalizing Time Expressions in Twitter.". (1. 2016).. Tabassum, J.; Ritter, A.; Xu, W.. "TweeTime : A Minimally Supervised Method for Recognizing and Normalizing Time Expressions in Twitter..". (1. 2016).. Preo ctiuc-Pietro, D.; Xu, W.; Ungar, L.. "Discovering user attribute stylistic differences via paraphrasing.". (1. 2016).. 2015. Xu, W.; Callison-Burch, C.; Dolan, W.B.. "SemEval-2015 Task 1: Paraphrase and Semantic Similarity in Twitter (PIT).". (1. 2015).. Gao, M.; Xu, W.; Callison-Burch, C.. "Cost Optimization in Crowdsourcing Translation.". (6. 2015).. 2014. Pershina, M.; Min, B.; Xu, W.; Grishman, R.. "Infusion of Labeled Data into Distant Supervision for Relation Extraction.". (6. 2014).. Chen, Q.; Lei, C.; Xu, W.; Pavlick, E. et al.. "Poetry of the Crowd: A Human Computation Algorithm to Convert Prose into Rhyming Verse.". (1. 2014).. 2013. Xu, W.; Le, Z.; Hoffmann, R.; Grishman, R.. "Filling knowledge base gaps for distant supervision of relation extraction.". (7. 2013).. Xu, W.; Ritter, A.; Grishman, R.. "Gathering and generating paraphrases from twitter with application to normalization.". (1. 2013).. Xu, W.; Ritter, A.; Grishman, R.. "Gathering and Generating Paraphrases from Twitter with Application to Normalization..". (1. 2013).. Xu, W.; Grishman, R.; Meyers, A.; Ritter, A.. "A preliminary study of tweet summarization using information extraction.". (1. 2013).. 2012. Xu, W.; Ritter, A.; Dolan, B.; Grishman, R. et al.. "Paraphrasing for Style.". (1. 2012).. 2011. Sun, A.; Grishman, R.; Xu, W.; Min, B.. "New York University 2011 System for KBP Slot Filling..". (1. 2011).. Xu, W.; Tetreault, J.; Chodorow, M.; Grishman, R. et al.. "Exploiting syntactic and distributional information for spelling correction with web-scale n-gram models.". (1. 2011).. Xu, W.; Grishman, R.; Zhao, L.. "Passage Retrieval for Information Extraction using Distant Supervision.". (11. 2011).. 2009. Meyers, A.; Kosaka, M.; Ji, H.; Xue, N. et al.. "Transducing logical relations from automatic and manual GLARF.". (1. 2009).. Xu, W.; Grishman, R.. "A parse-and-trim approach with information significance for chinese sentence compression.". (1. 2009).. Parton, K.; McKeown, K.R.; Coyne, B.; Diab, M.T. et al.. "Who, What, When, Where, Why? Comparing Multiple Approaches to the Cross-Lingual 5W Task.". (8. 2009).. Meyers, A.; Kosaka, M.; Xue, N.; Ji, H. et al.. "Automatic Recognition of Logical Relations for English, Chinese and Japanese in the GLARF Framework.". (6. 2009).. 2007. Mao, X.; Xu, W.; Dong, Y.; He, S. et al.. "Using Non-Local Features to Improve Named Entity Recognition Recall..". (1. 2007).. 2006. Li, W.; Xu, W.; Wu, M.; Lu, Q. et al.. "Extractive Summarization Using Inter- and Intra- Event Relevance.". (1. 2006).. Department ofComputer Science and Engineering395 Dreese Laboratories2015 Neil AvenueColumbus, OH 43210-1277(614) 292-5813 Phone(614) 292-2911 Fax. Support CSE. Invest in a Buckeye. Your gift will make a difference.. Connect. facebookyoutube. 2019 The Ohio State UniversityAccessibilityPrivacy PolicyHelpLogin. diff --git a/src/data/compiled_bios/4087.txt b/src/data/compiled_bios/4087.txt new file mode 100644 index 0000000000..71c2c7e64e --- /dev/null +++ b/src/data/compiled_bios/4087.txt @@ -0,0 +1 @@ +Dong Xuan. Professor, Computer Science & Engineering. 593 Dreese Laboratories. 2015 Neil Ave. Columbus,. OH. 43210. 614-292-2958. xuan.3@osu.edu. http://web.cse.ohio-state.edu/~xuan. Honors. January, 2009. College of Engineering Lumley Research Award.. December, 2005. CAREER Award.. October, 2002. SBC/Ameritech Faculty Fellow.. May, 2001. Graduate Research Excellence Award.. August, 2000. TxTEC Graduate Research Award.. January, 1997. Outstanding Teaching Award.. October, 1995. Scientific and Technological Achievement 1st Prize Award, Principle Contributor.. March, 1993. Graduate Student Excellence Award.. Chapters2008. 2008.. "Delay Performance and Management of VoIP System.". In VoIP Handbook: Applications, Technologies, Reliability, and Security,. Journal Articles2012. Fung Po Tso, Jin Teng*, Weijia Jia and Dong Xuan,. 2012,. "Mobility: A Double-Edged Sword for HSPA Networks.". IEEE Transactions on Parallel and Distributed Systems (TPDS). 23,. no. 10,. 1895-1907 -. 1895-1907.. 2011. Liao,Lin; Chen,Weifeng; Zhang,Chuanlin; Zhang,Lizhuo; Xuan,Dong; Jia,Weijia,. 2011,. "Two Birds With One Stone: Wireless Access Point Deployment for Both Coverage and Localization.". IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY. 60,. no. 5,. 2239-2252 -. 2239-2252.. Wei Yu, Xun Wang*, Prasad Calyam, Dong Xuan and Wei Zhao,. 2011,. "Camouflaging Worm: Modeling and Detection of Camouflaging Worm.". IEEE Transactions on Dependable and Secure Computing (TDSC). 8,. no. 3,. 377-390 -. 377-390.. Nan Xu, Weijia Jia, Yisha Luo, Fan Zhang, Dong Xuan and Jin Teng*,. 2011,. "Stealthy Video Capture: An Opened Eye on You.". IEEE Vehicular Technology Magazine. 6,. no. 4,. 49-59 -. 49-59.. Wei Yu, Xun Wang, Prasad Calyam, Dong Xuan and Wei Zhao,. 2011,. "Camouflaging Worm: Modeling and Detection.". IEEE Transactions on Dependable and Secure Computing (TDSC). 8,. no. 3,. 377-390 -. 377-390.. Yu,Wei; Wang,Xun; Champion,Adam; Xuan,Dong; Lee,David,. 2011,. "On detecting active worms with varying scan rate.". COMPUTER COMMUNICATIONS. 34,. no. 11,. 1269-1282 -. 1269-1282.. 2010. Xiaole Bai*, Ziqiu Yun^, Dong Xuan, Ten H. Lai and Weijia Jia,. 2010,. "Optimal Patterns for Four-Connectivity and Full Coverage in Wireless Sensor Networks.". IEEE Transactions on Mobile Computing (TMC). 9,. no. 3,. 435-448 -. 435-448.. Wenjun Gu, Zhimin Yang, Dong Xuan, Weijia Jia and Can Que,. 2010,. "Null Data Frame: A Double-edged Sword in IEEE 802.11 WLANs.". IEEE Transactions on Distributed and Parallel Systems (TPDS). 14,. no. 7,. 897-910 -. 897-910.. Chuanlin Zhang, Xiaole Bai*, Jin Teng*, Dong Xuan and Weijia Jia,. 2010,. "Constructing Low-Connectivity and Full-Coverage Three Dimensional Sensor Networks.". IEEE Journal on Selected Areas in Communications (JSAC). 28,. no. 7,. 984-993 -. 984-993.. Chuanlin Zhang, Xiaole Bai, Jin Teng, Dong Xuan, Weijia Jia,. 2010,. "Constructing low-connectivity and full-coverage three dimensional sensor networks.". IEEE Journal on Selected Areas in Communications (JSAC). 28,. no. 7,. 984-993 -. 984-993.. Shengquan Wang, Dong Xuan, Riccardo Bettati and Wei Zhao,. 2010,. "Toward Statistical QoS Quarantees in A Differentiated Services Network.". Telecommunication Systems. 43,. no. 3,. 253-263 -. 253-263.. Thang Le*, Prasun Sinha and Dong Xuan,. 2010,. "Turning Heterogeneity into An Advantage in Wireless Ad-hoc Network Routing.". Ad Hoc Networks Journal. 8,. no. 1,. 108-118 -. 108-118.. Thang Le, Prasun Sinha and Dong Xuan,. 2010,. "Turning Heterogeneity into An Advantage in Wireless Ad-hoc Network Routing.". Ad Hoc Networks Journal, Elsevier. 8,. no. 1,. 108-118 -. 108-118.. Gu,Wenjun; Yang,Zhimin; Xuan,Dong; Jia,Weijia; Que,Can,. 2010,. "Null Data Frame: A Double-Edged Sword in IEEE 802.11 WLANs.". IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS. 21,. no. 7,. 897-910 -. 897-910.. Jiangpeng Dai, Xiaole Bai, Zhimin Yang, Zhaohui Shen and Dong Xuan,. 2010,. "Mobile Phone-based Pervasive Fall Detection.". Journal of Personal and Ubiquitous Computing, Springer. 14,. no. 7,. 633-643 -. 633-643.. Ziqiu Yun^, Xiaole Bai*, Dong Xuan, Ten H. Lai and Weijia Jia,. 2010,. "Optimal Deployment Patterns for Full Coverage and k-Connectivity (k less than or equal to 6) Wireless Sensor Networks.". ACM/IEEE Transactions on Networking (ToN). 18,. no. 3,. 934-947 -. 934-947.. Yun,Ziqiu; Bai,Xiaole; Xuan,Dong; Lai,Ten,H; Jia,Weijia,. 2010,. "Optimal Deployment Patterns for Full Coverage and k-Connectivity (k.". IEEE-ACM TRANSACTIONS ON NETWORKING. 18,. no. 3,. 934-947 -. 934-947.. Xiaole Bai, Ziqiu Yun, Dong Xuan, Ten H. Lai and Weijia Jia,. 2010,. "Optimal Patterns for Four-Connectivity And Full-Coverage Wireless Sensor Networks.". IEEE Transactions on Mobile Computing (TMC). 9,. no. 3,. 435-448 -. 435-448.. Le,Thang; Sinha,Prasun; Xuan,Dong,. 2010,. "Turning heterogeneity into an advantage in wireless ad-hoc network routing.". AD HOC NETWORKS. 8,. no. 1,. 108-118 -. 108-118.. Shengquan Wang, Dong Xuan, Riccardo Bettati and Wei Zhao,. 2010,. "Toward Statistical QoS Guarantees in A Differentiated Services Network.". Telecommunication Systems. 43,. no. 3-4,. 253-263 -. 253-263.. Dai,Jiangpeng; Bai,Xiaole; Yang,Zhimin; Shen,Zhaohui; Xuan,Dong,. 2010,. "Mobile phone-based pervasive fall detection.". PERSONAL AND UBIQUITOUS COMPUTING. 14,. no. 7,. 633-643 -. 633-643.. 2009. Ai Chen, Ten H. Lai and Dong Xuan,. 2009,. "Measuring and Guaranteeing Quality of Barrier-Coverage for General Belts with Wireless Sensors.". ACM Transactions on Sensor Networks (TOSN). 6,. no. 1,. Ai Chen,Ten H. Lai and Dong Xuan,. 2009,. "Measuring and Guaranteeing Quality of Barrier Coverage for General Belts with Wireless Sensors.". ACM Transactions on Sensor Networks (TOSN). 6,. no. 1,. 2 -. 2.. Xun Wang*, Wenjun Gu*, Kurt Schosek*, Sriram Chellappan* and Dong Xuan,. 2009,. "Sensor Network Configuration under Physical Attacks.". International Journal of Ad Hoc and Ubiquitous Computing (IJAHUC). 4,. no. 3-4,. 174-182 -. 174-182.. Chen,Ai; Lai,Ten,H; Xuan,Dong,. 2009,. "Measuring and Guaranteeing Quality of Barrier Coverage for General Belts with Wireless Sensors.". ACM TRANSACTIONS ON SENSOR NETWORKS. 6,. no. 1,. 2 -. 2.. 2008. Wei Yu, Sriram Chellappan*, Xun Wang* and Dong Xuan,. 2008,. "Peer-to-Peer System-based Active Worm Attacks: Modeling, Analysis and Defense.". Journal of Computer Communications (COMCOM). 31,. no. 17,. 4005-4017 -. 4005-4017.. Wei Yu, Sriram Chellappan, Xun Wang and Dong Xuan,. 2008,. "Peer-to-peer system-based active worm attacks: Modeling, analysis and defense.". COMPUTER COMMUNICATIONS. 31,. no. 17,. 4005-4017 -. 4005-4017.. 2007. Sriram Chellappan*, Xiaole Bai*, Bin Ma, Dong Xuan and Changqing Xu,. 2007,. "Mobility Limited Flip-based Sensor Networks Deployment.". IEEE Transactions on Parallel and Distributed Systems (TPDS). 18,. no. 2,. 199-211 -. 199-211.. Chellappan,Sriram; Bai,Xiaole; Ma,Bin; Xuan,Dong; Xu,Changqing,. 2007,. "Mobility limited flip-based sensor networks deployment.". IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS. 18,. no. 2,. 199-211 -. 199-211.. Sriram Chellappan*, Wenjun Gu*, Xiaole Bai*, Dong Xuan, Bin Ma and Kaizhong Zhang,. 2007,. "Deploying Wireless Sensor Networks under Limited Mobility Constraints.". IEEE Transactions on Mobile Computing (TMC). 6,. no. 10,. 1142-1157 -. 1142-1157.. Gu,Wenjun; Bai,Xiaole; Chellappan,Sriram; Xuan,Dong; Jia,Weijia,. 2007,. "Network decoupling: A methodology for secure communications in wireless sensor networks.". IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS. 18,. no. 12,. 1784-1796 -. 1784-1796.. 2006. Shengquan Wang, Zhibin Mai, Dong Xuan and Wei Zhao,. 2006,. "Design and Implementation of QoS-Provisioning System for Voice over IP.". IEEE Transactions on Parallel and Distributed Systems (TPDS). 17,. no. 3,. 276-288 -. 276-288.. Wei Yu, Sriram Chellappan*, Dong Xuan and Wei Zhao,. 2006,. "Distributed Policy Processing in Active-Service based Infrastructures.". International Journal of Communication Systems (IJCS). 19,. no. 7,. 727-750 -. 727-750.. Li Xiao, Yunhao Liu, Wenjun Gu*, Dong Xuan and Xiaomei Liu,. 2006,. "Mutual Anonymous Overlay Multicast.". Journal of Parallel and Distributed Computing (JPDC). 66,. no. 9,. 1205-1216 -. 1205-1216.. Wang,Xun; Chellappan,Sriram; Boyer,Phillip; Xuan,Dong,. 2006,. "On the effectiveness of secure overlay forwarding systems under intelligent distributed DoS attacks.". IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS. 17,. no. 7,. 619-632 -. 619-632.. Wei Yu,Thang Nam Le*, Jangwon Lee and Dong Xuan,. 2006,. "Effective Query Aggregation for Data Services in Sensor Networks.". Journal of Computer Communications (COMCOM). 29,. no. 18,. 3733-3744 -. 3733-3744.. 2005. Shengquang Wang, Dong Xuan and Wei Zhao,. 2005,. "Analyzing and Enhancing the Resilience of Structured Peer-to-Peer Systems.". Journal of Parallel and Distributed Computing (JPDC). 65,. no. 2,. 207-219 -. 207-219.. Wei Yu,Sriram Chellappan* and Dong Xuan,. 2005,. "P2P/Grid-based Overlay Architecture to Support VoIP Services in Large-Scale IP Networks.". Journal of Future Generation Computer Systems (FGCS). 21,. no. 1,. 209-219 -. 209-219.. 2004. Jia,W,J; Xuan,D; Tu,W,Q; Lin,L,D; Zhao,W,. 2004,. "Distributed admission control for anycast flows.". IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS. 15,. no. 8,. 673-686 -. 673-686.. Shengquan Wang, Dong Xuan, Riccardo Bettati and Wei Zhao,. 2004,. "Providing Absolute Differentiated Services for Real-Time Applications in Static-Priority Scheduling Networks.". IEEE/ACM Transactions on Networking (ToN). 12,. no. 2,. 326-339 -. 326-339.. Shengquan Wang, Dong Xuan, Riccardo Bettati and Wei Zhao,. 2004,. "Providing absolute differentiated services for real-time applications in static-priority scheduling networks.". IEEE-ACM TRANSACTIONS ON NETWORKING. 12,. no. 2,. 326-339 -. 326-339.. Wang,S,Q; Xuan,D; Bettati,R; Zhao,W,. 2004,. "Providing absolute differentiated services for real-time applications in static-priority scheduling networks.". IEEE-ACM TRANSACTIONS ON NETWORKING. 12,. no. 2,. 326-339 -. 326-339.. 2003. Byung-Kyu Choi, Dong Xuan, Chengzhi Li, Riccardo Bettati and Wei Zhao,. 2003,. "Utilization-based admission control for scalable real-time communication.". REAL-TIME SYSTEMS. 24,. no. 2,. 171-202 -. 171-202.. Byung-Kyu Choi, Dong Xuan, Chengzhi Li, Riccardo Bettati and Wei Zhao,. 2003,. "Utilization-based Admission Control for Scalable Real-Time Communication.". Journal of Real-Time Systems (JRTS). 24,. no. 2,. 171-202 -. 171-202.. 2001. Guan,Y; Fu,X,W; Xuan,D; Shenoy,P,U; Bettati,R; Zhao,W,. 2001,. "NetCamo: Camouflaging network traffic for QoS-guaranteed mission critical applications.". IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS. 31,. no. 4,. 253-265 -. 253-265.. 2000. Weijia Jia, Dong Xuan and Wei Zhao,. 2000,. "Integrated Routing Algorithms for Anycast Messages.". IEEE Communication Magazine. 38,. no. 1,. 48-53 -. 48-53.. Dong Xuan, Weijia Jia, Wei Zhao and Hongwen Zhu,. 2000,. "A Routing Protocol for Anycast Messages.". IEEE Transactions on Parallel and Distributed Systems (TPDS). 11,. no. 6,. 571-588 -. 571-588.. 1999. Weijia Jia, Wei Zhao, Dong Xuan and Gaochao Xu,. 1999,. "An Efficient Fault-Tolerant Multicast Routing Protocol with Core-based Tree Techniques.". IEEE Transactions on Parallel and Distributed Systems (TPDS). 10,. no. 10,. 984-1000 -. 984-1000.. Jia,W,J; Zhao,W; Xuan,D; Xu,G,C,. 1999,. "An efficient fault-tolerant multicast routing protocol with core-based tree techniques.". IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS. 10,. no. 10,. 984-1000 -. 984-1000.. Unknown. Xuan, D.; Sihao Ding, Gang Li, Ying Li, Xinfeng Li, Qiang Zh,,. "SurvSurf: human retrieval on large surveillance video data..". Multimedia Tools Applications. 76,. no. 5,. 6521-6549 -. 6521-6549.. Presentations. "Resource Over-Provisioning for Network Systems and Services.". 2007,. Presented at Department of Computer Science, Central South University, China,. "Scalable QoS Guarantees over IP Networks.". 2002,. Presented at Lucent Technologies Inc., USA,. "Resource Over-Provisioning for Network Systems and Services.". 2006,. Presented at College of Engineering and Computer Science, Wright State University, USA,. "Connected Coverage of Wireless Networks in Theoretical and Practical Settings.". 2010,. Presented at Department of Computer Science and Engineering, Temple University, USA,. "Integrating Electronic and Visual Signals for Efficient Surveillance in Large-scale Areas.". 2012,. Presented at Department of Computer Science, Virginia Tech,. "Integrating Electronic and Visual Signals for Efficient Surveillance in Large-scale Areas.". 2012,. Presented at Department of Computer Science and Engineering, Temple University,. "Integrating Electronic and Visual Signals for Efficient Surveillance in Large-scale Areas.". 2012,. Presented at Department of Computer Science, George Washington University,. "Providing Absolute Differentiated Services for Real-Time Applications in Static Priority Scheduling Networks.". 2001,. Presented at Department of Computer Science, North Carolina State University, USA,. "Providing Absolute Differentiated Services for Real-Time Applications in Static Priority Scheduling Networks.". 2001,. Presented at Department of Computer Science and Engineering, University of Buffalo (SUNY), USA,. "Optimal Deployment in Wireless Sensor Networks.". 2008,. Presented at Department of Computer Science, Polytechnic University of Hong Kong,. "Optimal Deployment in Wireless Sensor Networks.". 2008,. Presented at Department of Computer Science, Shanghai Jiao Tong University, China,. "Optimal Deployment in Wireless Sensor Networks.". 2008,. Presented at Department of Computer Science, XiAn Jiao Tong University, China,. "Connected Coverage of Wireless Networks in Theoretical and Practical Settings.". 2009,. Presented at Department of Electrical and Computer Science, Illinois Institute of Technology, USA,. "Design and Implementation of Smartphone-based Systems and Networking.". 2010,. Presented at Department of Automation Control, Zhejiang University, China,. "Connected Coverage of Wireless Networks in Theoretical and Practical Settings.". 2010,. Presented at Institute of Electronic Technology, China,. "Connected Coverage in Three-Dimensional Wireless Networks.". 2009,. Presented at Department of Computer Science, Shanghai Jiao Tong University, China,. "Design and Implementation of Smartphone-based Systems and Networking.". 2011,. Presented at School of Computer Science, Southeast University, China,. "Integrating Electronic and Visual Signals for Efficient Surveillance in Large-scale Areas.". 2012,. Presented at Institute of Computing Technology, China,. "Invisible Traceback in the Internet.". 2008,. Presented at PolyNet IT Symposium, Hong Kong,. "Optimal Deployment in Wireless Sensor Networks.". 2008,. Presented at Department of Automation Control, Zhejiang University, China,. "Invisible Traceback in the Internet.". 2008,. Presented at Departmeng of Computer Science ,Wuhan University, China,. "Invisible Traceback in the Internet.". 2008,. Presented at Department of Electronic and Computer Engineering, Huazhong University of Science and Technology, China,. "Providing Absolute Differentiated Services for Real-Time Applications in Static Priority Scheduling Networks.". 2001,. Presented at Bell Labs, New Jersey,. "Integrating Electronic and Visual Signals for Efficient Surveillance in Large-scale Areas.". 2011,. Presented at Institute of Electronic Technology, China,. Papers in Proceedings2017. Cao, P.Y.; Li, G.; Champion, A.C.; Xuan, D. et al.. "On Human Mobility Predictability Via WLAN Logs.". in IEEE Conference on Computer Communications (INFOCOM).. (1. 2017).. 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"Local Face-View Barrier Coverage in Camera Sensor Networks.". in 34th IEEE Conference on Computer Communications (INFOCOM).. (1. 2015).. Jihun Hamm, Adam C. Champion, Guoxing Chen, Mikhail Belkin and Dong Xuan. "Crowd-ML: A Privacy-Preserving Learning Framework for a Crowd of Smart Devices.". in EEE International Conference on Distributed Computing Systems (ICDCS).. (6. 2015).. Yu, Z.; Yang, F.; Teng, J.; Champion, A.C. et al.. "Local face-view barrier coverage in camera sensor networks.". (8. 2015).. Zuoming Yu, Fan Yang*, Jin Teng*, Adam C. Champion*, and Dong Xuan. "Local Face-View Barrier Coverage in Camera Sensor Networks.". in IEEE International Conference on Computer Communications (INFOCOM).. (4. 2015).. Yu, Z.; Yang, F.; Teng, J.; Champion, A.C. et al.. "Local Face-View Barrier Coverage in Camera Sensor Networks.". (1. 2015).. Qiang Zhai*, Sihao Ding, Xinfeng Li*, Fan Yang*, Jin Teng*, Junda Zhu, Dong Xuan, Yuan F. Zheng and Wei Zhao. 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"On wireless network coverage in bounded areas.". (9. 2013).. Jia, W.; Tso, F.P.; Ling, Z.; Fu, X. et al.. "Blind detection of spread spectrum flow watermarks.". (3. 2013).. Sihao Ding, Ying Li, Junda Zhu, Yuan F. Zheng and Dong Xuan. "Robust Video-based Face Recognition by Sequential Sample Consensus.". in IEEE International Conference on Advanced Video and Singal-based Surveillance (AVSS).. (8. 2013).. Jia, W.; Tso, F.P.; Ling, Z.; Fu, X. et al.. "Blind detection of spread spectrum flow watermarks.". (3. 2013).. Zhang, Z.; Wang, H.; Lin, X.; Fang, H. et al.. "Effective epidemic control and source tracing through mobile social sensing over WBANs.". (9. 2013).. Jia, W.; Tso, F.P.; Ling, Z.; Fu, X. et al.. "Blind detection of spread spectrum flow watermarks.". (1. 2013).. Ling, Z.; Fu, X.; Jia, W.; Yu, W. et al.. "Novel packet size-based covert channel attacks against anonymizer.". (11. 2013).. Tso, F.P.; Cui, L.; Zhang, L.; Jia, W. et al.. "DragonNet: A Robust Mobile Internet Service System for Long-Distance Trains.". (11. 2013).. Ding, S.; Zhai, Q.; Zheng, Y.F.; Xuan, D.. "Side-view Face Authentication Based on Wavelet and Random Forest with Subsets.". in 11th IEEE International Conference on Intelligence and Security Informatics (IEEE ISI).. (1. 2013).. Yu, Z.; Teng, J.; Li, X.; Xuan, D.. "On Wireless Network Coverage in Bounded Areas.". in 32nd IEEE INFOCOM Conference.. (1. 2013).. Ding, S.; Zhai, Q.; Zheng, Y.F.; Xuan, D.. "Side-view face authentication based on wavelet and random forest with subsets.". (9. 2013).. Xinfeng Li*, Jin Teng*, Qiang Zhai*, Junda Zhu, Dong Xuan, Yuan F. Zheng and Wei Zhao. "EV-Human: Human Localization via Visual Estimation of Body Electronic Interference.". in the mini-conference conjunction with IEEE International Conference on Computer Communications (INFOCOM).. (4. 2013).. 2012. Ling, Z.; Luo, J.; Yu, W.; Fu, X. et al.. "A new cell-counting-based attack against tor.". (1. 2012).. 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"Enclave: Promoting unobtrusive and secure mobile communications with a ubiquitous electronic world.". (9. 2012).. Champion, A.C.; Li, X.; Zhai, Q.; Teng, J. et al.. "Enclave: Promoting Unobtrusive and Secure Mobile Communications with a Ubiquitous Electronic World.". in 7th International Conference on Wireless Algorithms, Systems, and Applications (WASA).. (1. 2012).. Ling, Z.; Luo, J.; Yu, W.; Fu, X. et al.. "A New Cell-Counting-Based Attack Against Tor.". (8. 2012).. Yun, Z.; Bai, X.; Xuan, D.; Jia, W. et al.. "Pattern Mutation in Wireless Sensor Deployment.". (12. 2012).. Adam Champion*, Xinfeng Li*, Qiang Zhai*, Jin Teng* and Dong Xuan. "Enclave: Promoting Unobtrusive and Secure Mobile Communications with a Ubiquitous Electronic World.". in the International Conference on Wireless Algorithms, Systems, and Applications (WASA),.. (8. 2012).. Yun, Z.; Bai, X.; Xuan, D.; Jia, W. et al.. "Pattern Mutation in Wireless Sensor Deployment.". (12. 2012).. 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"JSGuard: Shellcode Detection in JavaScript.". in International Conference on Security and Privacy in Communication Networks (SecureComm),.. (9. 2012).. 2011. Zhen Ling, Xinwen Fu, Weijia Jia, Wei Yu and Dong Xuan. "A Novel Packet Size Based Covert Channel Attack against Anonymizer.". in the mini-conference conjunction with IEEE International Conference on Computer Communications (INFOCOM).. (1. 2011).. Zhang, B.; Teng, J.; Bai, X.; Yang, Z. et al.. "P-3-Coupon: a Probabilistic System for Prompt and Privacy-preserving Electronic Coupon Distribution.". (1. 2011).. Xiaole Bai*, Ziqiu Yun^, Dong Xuan, Biao Chen and Wei Zhao. "Optimal Multiple-Coverage of Sensor Networks.". in IEEE International Conference on Computer Communications (INFOCOM).. (4. 2011).. Junda Zhu, Jin Teng*, Dong Xuan, and Yuan F. Zheng,. "Effective Visual Tracking with Electronic Localization by Directional Antennas.". in IEEE National Aerospace Electronics Conference (NAECON).. (7. 2011).. 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"Survey on QoS management of VoIP.". (1. 2003).. Wei Yu, Dong Xuan, Sandeep K. Reddy, Riccardo Bettati and Wei Zhao. "Distributed Policy Processing in Virtual Private Operation Environment for Large Scale Networks.". in IEEE Information Assurance Workshop (IAW).. (1. 2003).. Xinwen Fu, Bryan Graham, Riccardo Bettati, Wei Zhao and Dong Xuan. "Analytical and Empirical Analysis of Countermeasures to Traffic Analysis Attacks.". in International Conference on Parallel Processing (ICPP).. (1. 2003).. Yu, W.; Xuan, D.; Reddy, S.K.; Bettati, R. et al.. "Distributed policy processing in virtual private operation environment for large scale networks.". (1. 2003).. Xiuzhong Chen, Chunfeng Wang, Dong Xuan, Zhongcheng Li, Yinghua Min and Wei Zhao. "Survey on QoS Management of VoIP.". in IEEE International Conference on Computer Networks and Mobile Computing (ICCNMC).. (1. 2003).. 2002. Wang, S.; Mai, Z.; Magnussen, W.; Xuan, D. et al.. "Implementation of QoS-Provisioning system for voice over IP.". (12. 2002).. Yu, W.; Xuan, D.; Zhao, W.. "Middleware-based approach for preventing distributed deny of service attacks.". (12. 2002).. Wang, S.Q.; Mai, Z.B.; Magnussen, W.; Xuan, D. et al.. "Implementation of QoS-Provisioning system for voice over IP.". (1. 2002).. Shengquan Wang, Zhibin Mai, Walt Magnussen, Dong Xuan and Wei Zhao. "Implementation of QoS-Provisioning System for Voice over IP.". in IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS).. (1. 2002).. Wang, S.Q.; Mai, Z.B.; Magnussen, W.; Xuan, D. et al.. "Implementation of QoS-Provisioning system for voice over IP.". in 8th IEEE Real-Time and Embedded Technology and Applications Symposium.. (1. 2002).. Wei Yu, Dong Xuan and Wei Zhao. "Middleware based Approach for Preventing Distributed Denial of Service Attacks.". in IEEE Military Communications (MILCOM).. (10. 2002).. 2001. Xuan, D.; Jia, W.J.; SOCIETY, I.C.; SOCIETY, I.C.. "Distributed Admission Control for anycast flows with QoS requirements.". (1. 2001).. Wang, S.Q.; Xuan, D.; Bettati, R.; Zhao, W.. "Differentiated services with statistical real-time guarantees in static-priority scheduling networks.". in 22nd IEEE Real-Time Systems Symposium (RTSS 2001).. (1. 2001).. Dong Xuan, Riccardo Bettati and Wei Zhao. "A Gateway-Based Defense System for Distributed DoS Attacks in High Speed Networks.". in IEEE Systems, Man, and Cybernetics Information Assurance Workshop (IAW).. (6. 2001).. Shengquan Wang, Dong Xuan, Riccarod Bettati and Wei Zhao. "Providing Absolute Differentiated Services for Real-time Applications in Static-Priority Scheduling Networks.". in IEEE International Conference on Computer Communications (INFOCOM).. (1. 2001).. Xuan, D.; Jia, W.J.. "Distributed Admission Control for anycast flows with QoS requirements.". in 21st IEEE International Conference on Distributed Computing Systems.. (1. 2001).. Dong Xuan and Weijia Jia. "Distributed Admission Control for Anycast Flows with QoS Requirements.". in IEEE International Conference on Distributed Computing Systems (ICDCS).. (1. 2001).. Wei Yu, Dong Xuan, Bryan Graham, S. Santhanam, Riccardo Bettati and Wei Zhao. "An Integrated Middleware-Based Solution for Supporting Secured Dynamic-Coalition Applications in Heterogeneous Environments.". in IEEE Systems, Man, and Cybernetics Information Assurance Workshop (IAW).. (6. 2001).. Wang, S.; Xuan, D.; Bettati, R.; Zhao, W.. "Differentiated services with statistical real-time guarantees in static-priority scheduling networks.". (12. 2001).. Wang, S.Q.; Xuan, D.; Bettati, R.; Zhao, W. et al.. "Differentiated services with statistical real-time guarantees in static-priority scheduling networks.". (1. 2001).. Shengquan Wang, Dong Xuan, Riccardo Bettati and Wei Zhao. "Differentiated Services with Statistical Real-time Guarantees in Static-Priority Scheduling Networks.". in IEEE Real-Time Systems Symposium (RTSS).. (1. 2001).. Xuan, D.; Jia, W.. "Distributed admission control for anycast flows with QoS requirements.". (1. 2001).. 2000. Dong Xuan, Chengzhi Li, Riccardo Bettati, Jianer Chen and Wei Zhao. "Utilization-based Admission Control for Real-time Applications.". in International Conference on Parallel Processing (ICPP).. (1. 2000).. Xuan, D.; Li, C.Z.; Bettati, R.; Chen, J.N. et al.. "Utilization-based admission control for real-time applications.". (1. 2000).. Jia, W.; Xuan, D.; Zhao, W.. "Integrated routing algorithms for anycast messages.". (1. 2000).. Jia, W.J.; Xuan, D.; Zhao, W.. "Integrated routing algorithms for anycast messages.". (1. 2000).. Xuan, D.; Li, C.; Bettati, R.; Chen, J. et al.. "Utilization-based admission control for real-time applications.". (1. 2000).. Jia, W.J.; Xuan, D.; Zhao, W.. "Integrated routing algorithms for anycast messages.". (1. 2000).. Xuan, D.; Li, C.Z.; Bettati, R.; Chen, J.N. et al.. "Utilization-based admission control for real-time applications.". in International Conference on Parallel Processing (ICPP 2000).. (1. 2000).. Byung-Kyu Choi, Dong Xuan, Chengzhi Li, Riccardo Bettati and Wei Zhao. "Scalable QoS Guaranteed Communication Services for Real-Time Applications.". in IEEE International Conference on Distributed Computing Systems (ICDCS).. (4. 2000).. 1999. Jia, W.; Zhao, W.; Xuan, D.; Xu, G.. "An efficient fault-tolerant multicast routing protocol with core-based tree techniques.". (10. 1999).. Yong Guan, Chengzhi Li, Dong Xuan, Riccardo Bettati and Wei Zhao. "Preventing Traffic Analysis for Real-Time Communication Networks.". in IEEE Military Communications (MILCOM).. (10. 1999).. Weijia Jia, Gaochao Xu, Wei Zhao and Dong Xuan. "An Integrated Routing Protocol for Reliable Anycast and Multicast Communications.". in International Conference on Parallel and Distributed Computing Systems (ICPDCS).. (8. 1999).. Jia, W.J.; Zhao, W.; Xuan, D.; Xu, G.C.. "An efficient fault-tolerant multicast routing protocol with core-based tree techniques.". (10. 1999).. Weijia Jia, Wei Zhao, Dong Xuan and Gaochao Xu. "An Efficient Fault-Tolerant Multicast Routing Protocol with Core-Based Tree Techniques.". in IEEE International Conference on Parallel Processing (ICPP).. (8. 1999).. Jia, W.J.; Zhao, W.; Xuan, D.; Xu, G.C.. "An efficient fault-tolerant multicast routing protocol with core-based tree techniques.". (10. 1999).. 1998. Weijia Jia, Dong Xuan and Wei Zhao. "Integrated Routing Algorithms for Anycast Messages.". in IEEE Global Telecommunications Conference (GLOBECOM).. (1. 1998).. Xuan, D.; Jia, W.J.; Zhao, W.. "Routing algorithms for anycast messages.". (1. 1998).. Xuan, D.; Jia, W.J.; Zhao, W.. "Routing algorithms for anycast messages.". in International Conference on Parallel Processing (ICPP).. (1. 1998).. Dong Xuan, Weijia Jia and Wei Zhao. "Routing Algorithms for Anycast Messages.". in IEEE International Conference on Parallel Processing (ICPP).. (8. 1998).. Xuan, D.; Jia, W.; Zhao, W.. "Routing algorithms for anycast messages.". (1. 1998).. Patents. Dong Xuan, Yuan F. Zheng, Wei Zhao, Jin Teng, Junda Zhu, Boying Zhang, Xinfeng Li, Biao Chen and Wei Li.. "E-V: Integrating Electronic and Visual Signals for Efficient Surveillance.". Department ofComputer Science and Engineering395 Dreese Laboratories2015 Neil AvenueColumbus, OH 43210-1277(614) 292-5813 Phone(614) 292-2911 Fax. Support CSE. Invest in a Buckeye. Your gift will make a difference.. Connect. facebookyoutube. 2019 The Ohio State UniversityAccessibilityPrivacy PolicyHelpLogin. diff --git a/src/data/compiled_bios/4088.txt b/src/data/compiled_bios/4088.txt new file mode 100644 index 0000000000..6e6e36e7bc --- /dev/null +++ b/src/data/compiled_bios/4088.txt @@ -0,0 +1 @@ +Ping Zhang. Assistant Professor, SBS-Biomedical Informatics. Assistant Professor, Computer Science & Engineering. 1800 Cannon Drive. 310A. Columbus,. OH. 43210. 614-293-9286. zhang.10631@osu.edu. https://web.cse.ohio-state.edu/~zhang.10631/. Honors. October, 2018. IBM Master Inventor Award.. August, 2018. ACM Distinguished Speaker.. June, 2018. IEEE Senior Member.. May, 2018. IBM Outstanding Technical Achievement Award for Cognitive-driven Chronic Disease Management Solution Suite.. June, 2016. Best In-Use/Industrial Paper Award (ESWC 2016).. May, 2016. IBM Outstanding Technical Achievement Award for Patient Similarity Analytics.. April, 2014. Nomination for Marco Ramoni Distinguished Paper Award.. Department ofComputer Science and Engineering395 Dreese Laboratories2015 Neil AvenueColumbus, OH 43210-1277(614) 292-5813 Phone(614) 292-2911 Fax. Support CSE. Invest in a Buckeye. Your gift will make a difference.. Connect. facebookyoutube. 2019 The Ohio State UniversityAccessibilityPrivacy PolicyHelpLogin. diff --git a/src/data/compiled_bios/4089.txt b/src/data/compiled_bios/4089.txt new file mode 100644 index 0000000000..515f7e6ce8 --- /dev/null +++ b/src/data/compiled_bios/4089.txt @@ -0,0 +1 @@ +Xiaodong Zhang. Endowed Critchfield Professor, Computer Science & Engineering. 395 Dreese Laboratories. 2015 Neil Ave. Columbus,. OH. 43210. 614-292-2770. 614-688-3029. zhang.574@osu.edu. http://web.cse.ohio-state.edu/~zhang. Department ofComputer Science and Engineering395 Dreese Laboratories2015 Neil AvenueColumbus, OH 43210-1277(614) 292-5813 Phone(614) 292-2911 Fax. Support CSE. Invest in a Buckeye. Your gift will make a difference.. Connect. facebookyoutube. 2019 The Ohio State UniversityAccessibilityPrivacy PolicyHelpLogin. diff --git a/src/data/compiled_bios/409.txt b/src/data/compiled_bios/409.txt new file mode 100644 index 0000000000..f775b5bfbc --- /dev/null +++ b/src/data/compiled_bios/409.txt @@ -0,0 +1 @@ +Name: Willson, James:: Position: Senior Lecturer:: Degrees: Ph.D., The University of Texas at Dallas; diff --git a/src/data/compiled_bios/4090.txt b/src/data/compiled_bios/4090.txt new file mode 100644 index 0000000000..fc979f64d6 --- /dev/null +++ b/src/data/compiled_bios/4090.txt @@ -0,0 +1 @@ +Yinqian Zhang. Assistant Professor, Electrical & Computer Engr.. Assistant Professor, Computer Science & Engineering. 798 Dreese Laboratories. 2015 Neil Ave. Columbus,. OH. 43210. 614-292-4202. zhang.834@osu.edu. http://web.cse.ohio-state.edu/~yinqian/. Honors. January, 2017. Distinguished TPC Member Award.. January, 2016. Distinguished TPC Member Award.. Journal Articles2018. Mi, Z.; Chen, H.; Zhang, Y.; Peng, S. et al.,. 2018,. "CPU Elasticity to Mitigate Cross-VM Runtime Monitoring.". IEEE Transactions on Dependable and Secure Computing. Presentations. "Tutorial: Cache Side Channels:. State of the Art and Research Opportunities.". 2017,. Presented at The ACM Conference on Computer and Communications Security (CCS) 2017,. "SGX Side Channels.". 2017,. Presented at Cybersecurity Research Acceleration Workshop and Showcase,. Papers in Proceedings2018. Chen, G.; Lai, T.H.; Reiter, M.K.; Zhang, Y.. "Differentially Private Access Patterns for Searchable Symmetric Encryption.". (10. 2018).. Zhang, X.; Wang, X.; Bai, X.; Zhang, Y. et al.. "OS-level Side Channels without Procfs: Exploring Cross-App Information Leakage on iOS.". in Network and Distributed System Security Symposium (NDSS) 2018.. (2. 2018).. Zhou, Z.; Qian, Z.; Reiter, M.K.; Zhang, Y.. "Static Evaluation of Noninterference Using Approximate Model Counting.". (7. 2018).. Chen, S.; Liu, F.; Mi, Z.; Zhang, Y. et al.. "Leveraging hardware transactional memory for cache side-channel defenses.". (5. 2018).. Tang, D.; Zhou, Z.; Zhang, Y.; Zhang, K.. "Face Flashing: A Secure Liveness Detection Protocol based on Light Reflections.". in Network and Distributed System Security Symposium (NDSS) 2018.. (2. 2018).. Chen, G.; Wang, W.; Zhang, T.; Chen, S. et al.. "Racing in Hyperspace: Closing Hyper-Threading Side Channels on SGX with Contrived Data Races.". in IEEE Symposium on Security and Privacy 2018.. (5. 2018).. Chen, G.; Lai, T.; Reiter, M.; Zhang, Y.. "Differentially Private Access Patterns for Searchable Symmetric Encryption.". in IEEE International Conference on Computer Communications (INFOCOM) 2018.. (4. 2018).. Chen, G.; Wang, W.; Chen, T.; Chen, S. et al.. "Racing in Hyperspace: Closing Hyper-Threading Side Channels on SGX with Contrived Data Races.". (7. 2018).. 2017. Zhang, T.; Zhang, Y.; Lee, R.B.. "DoS attacks on your memory in the cloud.". (4. 2017).. Zhang, T.; Zhang, Y.; Lee, R.. "DoS Attacks on Your Memory in the Cloud.". in 12th ACM Asia Conference on Computer and Communications Security (ASIACCS).. (4. 2017).. Chen, S.; Zhang, X.; Reiter, M.; Zhang, Y.. "Detecting Privileged Side-Channel Attacks in Shielded Execution with DEJA VU.". in ACM Asia Conference on Computer and Communications Security (ASIACCS) 2017.. (4. 2017).. Xiao, Q.; Reiter, M.; Zhang, Y.. "Personalized Pseudonyms for Servers in the Cloud.". in Privacy Enhancing Technologies Symposium (PETS)2017.. (7. 2017).. Xiao, Y.; Li, M.; Chen, S.; Zhang, Y.. "Stacco: Differentially Analyzing Side-Channel Traces for Detecting SSL/TLS Vulnerabilities in Secure Enclaves.". in ACM Conference on Computer and Communications Security (CCS) 2017.. (10. 2017).. Zhang, Y.. "Cache side channels: State of the art and research opportunities.". (10. 2017).. Wang, W.; Chen, G.; Pan, X.; Zhang, Y. et al.. "Leaky Cauldron on the Dark Land: Understanding Memory Side-Channel Hazards in SGX.". in ACM Conference on Computer and Communications Security (CCS) 2017.. (10. 2017).. Chen, S.; Zhang, X.; Reiter, M.K.; Zhang, Y.. "Detecting privileged side-channel attacks in shielded execution with Dj Vu.". (4. 2017).. 2016. Zhou, Z.; Reiter, M.K.; Zhang, Y.. "A software approach to defeating side channels in last-level caches..". (1. 2016).. Zhang, T.; Zhang, Y.; Lee, R.B.. "Cloudradar: A real-time side-channel attack detection system in clouds.". (1. 2016).. Xiao, Y.; Zhang, X.; Zhang, Y.; Teodorescu, R.. "One Bit Flips, One Cloud Flops: Cross-VM Row Hammer Attacks and Privilege Escalation.". in USENIX Security Symposium (2016).. (8. 2016).. Zhou, Z.; Reiter, M.K.; Zhang, Y.. "A software approach to defeating side channels in last-level caches.". (10. 2016).. Zhang, X.; Xiao, Y.; Zhang, Y.. "Return-oriented Flush-Reload side channels on ARM and their implications for Android devices.". (10. 2016).. Zhang, T.; Zhang, Y.; Lee, R.. "CloudRadar: A Real-Time Side-Channel Attack Detection System in Clouds.". in International Symposium on Research in Attacks, Intrusions and Defenses (RAID) 2016.. (9. 2016).. Zhou, Z.; Reiter, M.; Zhang, Y.. "A Software Approach to Defeating Side Channels in Last-Level Caches.". in ACM Conference on Computer and Communications Security (CCS) 2016.. (10. 2016).. Zhang, X.; Xiao, Y.; Zhang, Y.. "Return-Oriented Flush-Reload Side Channels on ARM and Their Implications for Android Devices.". in ACM Conference on Computer and Communications Security (CCS) 2016.. (10. 2016).. Xiao, Y.; Zhang, X.; Zhang, Y.; Teodorescu, R. et al.. "One Bit Flips, One Cloud Flops: Cross-VM Row Hammer Attacks and Privilege Escalation.". (1. 2016).. Xiao, Y.; Zhang, X.; Zhang, Y.; Teodorescu, R.. "One Bit Flips, One Cloud Flops: Cross-VM Row Hammer Attacks and Privilege Escalation.". in 25th USENIX Security Symposium.. (1. 2016).. Yuan Xiao, Xiaokuan Zhang, Yinqian Zhang, Radu Teodorescu. "One Bit Flips, One Cloud Flops: Cross-VM Row Hammer Attacks and Privilege Escalation.". in USENIX Security Symposium.. (8. 2016).. 2015. Varadarajan, V.; Zhang, Y.; Ristenpart, T.; Swift, M.. "A Placement Vulnerability Study in Multi-Tenant Public Clouds.". in 24th USENIX Security Symposium.. (8. 2015).. Xiao, Q.; Reiter, M.; Zhang, Y.. "Mitigating Storage Side Channels Using Statistical Privacy Mechanisms.". in 22nd ACM Conference on Computer and Communications Security (CCS).. (10. 2015).. Xiao, Q.; Reiter, M.K.; Zhang, Y.. "Mitigating storage side channels using statistical privacy mechanisms.". (10. 2015).. Xiao, Q.; Reiter, M.K.; Zhang, Y.. "Mitigating Storage Side Channels Using Statistical Privacy Mechanisms..". (1. 2015).. Varadarajan, V.; Zhang, Y.; Ristenpart, T.; Swift, M.M.. "A Placement Vulnerability Study in Multi-tenant Public Clouds..". (1. 2015).. Qiuyu Xiao, Michael Reiter, Yinqian Zhang. Mitigating Storage Side Channels Using Statistical Privacy Mechanisms.. in ACM Conference on Computer and Communications Security.. http://dl.acm.org/citation.cfm?id=2813645,. (10. 2015).. Venkatanathan Varadarajan, Yinqian Zhang, Thomas Ristenpart, Michael Swift. A Placement Vulnerability Study in Multi-Tenant Public Clouds.. in 24th USENIX Security Symposium.. https://www.usenix.org/conference/usenixsecurity15/technical-sessions/presentation/varadarajan,. (8. 2015).. 2014. Zhang, Y.; Juels, A.; Reiter, M.; Ristenpart, T.. "Cross-Tenant Side-Channel Attacks in PaaS Clouds..". in ACM Conference on Computer and Communications Security (CCS) 2015.. (11. 2014).. Zhang, Y.; Juels, A.; Reiter, M.K.; Ristenpart, T.. "Cross-tenant side-channel attacks in PaaS clouds.". (1. 2014).. Zhang, Y.; Juels, A.; Reiter, M.K.; Ristenpart, T.. "Cross-Tenant Side-Channel Attacks in PaaS Clouds..". (1. 2014).. 2013. Zhang, Y.; Reiter, M.K.. "Dppel: Retrofitting commodity operating systems to mitigate cache side channels in the cloud.". in 20th ACM Conference on Computer and Communications Security (CCS).. (12. 2013).. Zhang, Y.; Reiter, M.K.. "Dppel: retrofitting commodity operating systems to mitigate cache side channels in the cloud..". (1. 2013).. Zhang, Y.; Reiter, M.K.. "Dppel: Retrofitting commodity operating systems to mitigate cache side channels in the cloud.". (12. 2013).. 2012. Zhang, Y.; Juels, A.; Reiter, M.K.; Ristenpart, T.. "Cross-VM side channels and their use to extract private keys.". in 19th ACM Conference on Computer and Communications Security (CCS) 2012.. (11. 2012).. Zhang, Y.; Juels, A.; Reiter, M.K.; Ristenpart, T.. "Cross-VM side channels and their use to extract private keys..". (1. 2012).. Zhang, Y.; Juels, A.; Reiter, M.K.; Ristenpart, T.. "Cross-VM side channels and their use to extract private keys.". (11. 2012).. 2011. Zhang, Y.; Juels, A.; Oprea, A.; Reiter, M.K.. "HomeAlone: Co-residency detection in the cloud via side-channel analysis.". in 32nd IEEE Symposium on Security and Privacy (S&P) 2011.. (8. 2011).. Zhang, Y.; Juels, A.; Oprea, A.; Reiter, M.K.. "HomeAlone: Co-residency detection in the cloud via side-channel analysis.". (8. 2011).. Zhang, Y.; Juels, A.; Oprea, A.; Reiter, M.K.. "HomeAlone: Co-residency Detection in the Cloud via Side-Channel Analysis..". (1. 2011).. 2010. Zhang, Y.; Monrose, F.; Reiter, M.K.. "The security of modern password expiration: An algorithmic framework and empirical analysis.". in 17th ACM Conference on Computer and Communications Security (CCS) 2010.. (12. 2010).. Zhang, Y.; Monrose, F.; Reiter, M.K.. "The security of modern password expiration: an algorithmic framework and empirical analysis..". (1. 2010).. Zhang, Y.; Monrose, F.; Reiter, M.K.. "The security of modern password expiration: An algorithmic framework and empirical analysis.". (12. 2010).. 2008. Zhang, Y.; Fan, X.; Wang, Y.; Xue, Z.. "Attack Grammar: A New Approach to Modeling and Analyzing Network Attack Sequences.". in 24th Annual Computer Security Applications Conference (ACSAC) 2008.. (12. 2008).. Department ofComputer Science and Engineering395 Dreese Laboratories2015 Neil AvenueColumbus, OH 43210-1277(614) 292-5813 Phone(614) 292-2911 Fax. Support CSE. Invest in a Buckeye. Your gift will make a difference.. Connect. facebookyoutube. 2019 The Ohio State UniversityAccessibilityPrivacy PolicyHelpLogin. diff --git a/src/data/compiled_bios/4091.txt b/src/data/compiled_bios/4091.txt new file mode 100644 index 0000000000..9b6ccf02aa --- /dev/null +++ b/src/data/compiled_bios/4091.txt @@ -0,0 +1 @@ +Michael Albert Assistant Professor, Darden Business SchoolAssistant Professor, Engineering Systems & EnvironmentAssistant Professor, Computer Science Bio PhD, Duke UniversityM.S., Duke UniversityB.S., James Madison University Assistant Professor Michael Albert teaches Quantitative Analysis courses in Dardens MBA program, and he has joint appointments in Systems Engineering and Computer Science in the School of Engineering and Applied Sciences (SEAS) at UVA. His research focuses on combining machine learning and algorithmic techniques to automate the design of markets. His work has appeared in leading artificial intelligence and machine learning venues such as the Association for the Advancement of Artificial Intelligence (AAAI) and the International Joint Conference on Artificial Intelligence (IJCAI). Prior to joining Darden in 2018, Albert received his PhD in Financial Economics at Duke Universitys Fuqua School of Business. He has also worked as a visiting assistant professor of finance at the Ohio State University, as a post-doctoral researcher at the Learning Agents Research Group at the University of Texas at Austin under Peter Stone, and as a post-doctoral researcher in the artificial intelligence group headed by Vincent Conitzer at Duke University. Research Interests Data Driven Mechanism Design Multi-Agent Systems Learning with Strategic Agents Contact Information Michael Albert Darden Business School, Engineering Systems & Environment, and Computer Science Faculty Office Building 269, Darden Darden School of Business Charlottesville, Virginia 22903 Phone: 434-243-2859 albertm@darden.virginia.edu My Links Personal Website diff --git a/src/data/compiled_bios/4092.txt b/src/data/compiled_bios/4092.txt new file mode 100644 index 0000000000..27766d02da --- /dev/null +++ b/src/data/compiled_bios/4092.txt @@ -0,0 +1 @@ +Homa Alemzadeh Assistant Professor, Electrical and Computer EngineeringAssistant Professor, Computer Science (by Courtesy) Bio B.S. Computer Engineering, University of Tehran, 2005M.S. Computer Engineering, University of Tehran, ECE, 2008Ph.D. Electrical and Computer Engineering, University of Illinois, ECE, 2016 "My research focuses on developing techniques and tools for assessment and design of resilient cyber-physical systems (CPS), in particular reliability, safety, and security validation of medical CPS and surgical robots." Homa Alemzadeh, Assistant Professor Homa Alemzadeh is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of Virginia. Homa is also an Assistant Professor by courtesy in the Computer Science Department. Before joining UVA, she was a research staff member at the IBM T. J. Watson Research Center. She received her Ph.D. in Electrical and Computer Engineering from the University of Illinois at Urbana-Champaign and her B.Sc. and M.Sc. degrees in Computer Engineering from the University of Tehran. Homa was the recipient of 2017 William C. Carter PhD Dissertation Award in Dependability from the IEEE Technical Committee and the IFIP Working Group 10.4 on Dependable Computing and Fault Tolerance. Her work on analysis of safety incidents in robotic surgery was selected as the Maxwell Chamberlain Memorial Paper in Adult Cardiac Surgery at the 50th annual meeting of the Society of Thoracic Surgeons (STS) and was featured in the Wall Street Journal, MIT Technology Review, BBC, NBC News, among others. Awards William C. Carter Dissertation Award in Dependability 2017 J. Maxwell Chamberlain Memorial Paper Award, Society of Thoracic Surgeons (STS) 2014 Research Interests Dependable and Secure Computing Resilient Systems and Analytics Embedded and Cyber-physical Systems Selected Publications On the Safety of Machine Learning: Cyber-Physical Systems, Decision Sciences, and Data Products Big Data Journal 5:3, 246255, 2017. Kush R. Varshney and H. Alemzadeh On Threat Modeling and Mitigation of Medical Cyber-Physical Systems, Proc. Second IEEE International Workshop on Security, Privacy, and Trustworthiness in Medical Cyber-Physical Systems, IEEE CHASE, 2017. H. Almohri, L. Cheng, D. Yao, H. Alemzadeh Targeted Attacks on Teleoperated Surgical Robots: Dynamic Model-based Detection and Mitigation, Proc. 46th IEEE/IFIP Int. Conf. on Dependable Systems and Networks (DSN), 2016. H. Alemzadeh, D. Chen, X. Li, T. Kesavadas, Z. T. Kalbarczyk, R. K. Iyer A Hardware-in-the-loop Simulator for Safety Training in Robotic Surgery, Proc. IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), 2016. X. Li, H. Alemzadeh, D. Chen, Z. Kalbarczyk, R. K. Iyer, T. Kesavadas Safety-critical Cyber-physical Attacks: Analysis, Detection, and Mitigation, Proc. Symposium and Bootcamp on the Science of Security (HOTSOS), 2016. H. Lin, H. Alemzadeh, D. Chen, Z. T. Kalbarczyk, R. K. Iyer Adverse Events in Robotic Surgery: A Retrospective Study of 14 Years of FDA Data, PLoS ONE, vol. 11, no. 4: e0151470, 2016. H. Alemzadeh, R. K. Iyer, Z. T. Kalbarczyk, N. Leveson, J. Raman Systems-theoretic Safety Assessment of Robotic Telesurgical Systems,Proc. 34th Int. Conf. Computer Safety, Reliability, and Security(SAFECOMP), Sep. 2015. H. Alemzadeh, D. Chen, A. Lewis, Z. Kalbarczyk, J. Raman, N. Leveson, R. K. Iyer A Fault-Tolerant Hardware Architecture for Robust Wearable Heart Rate Monitoring, Proc. 9th Int. Conf. Pervasive Computing Technologies for Healthcare (Pervasive Health2015), May 2015. Q. Li, H. Alemzadeh, Z. Kalbarczyk, R. K. Iyer Analysis of Safety-Critical Computer Failures in Medical Devices, IEEE Security & Privacy, vol. 11, no. 4, pp. 14-26, July-Aug. 2013. H. Alemzadeh, R. K. Iyer, Z. Kalbarczyk, J. Raman An Embedded Reconfigurable Architecture for Patient-Specific Multi-Parameter Medical Monitoring, Proc. 33rd Annu. Int. IEEE EMBS Conf. (EMBC11), Sep. 2011. H. Alemzadeh, Z. Jin, Z. Kalbarczyk, R. K. Iyer Google Scholar ResearchGate Courses Taught Dependable Computing Systems (ECE/CS 4434/6434 - SYS 4582/6582) Spring 2017, 2018 Advanced Embedded Systems (ECE 4501/6501) Fall 2017, 2018 Course Catalog Featured Grants & Projects Contact Information Homa Alemzadeh Electrical & Computer Engineering, Computer Science (by courtesy) Office: Olsson, Room 259 Link Lab P.O. Box 400336 Charlottesville, Virginia 22904 Phone: (434) 924-6739 alemzadeh@virginia.edu Twitter Linkedin My Links Website Github Link Lab diff --git a/src/data/compiled_bios/4093.txt b/src/data/compiled_bios/4093.txt new file mode 100644 index 0000000000..a92544895f --- /dev/null +++ b/src/data/compiled_bios/4093.txt @@ -0,0 +1 @@ +Panagiotis Apostolellis Assistant ProfessorComputer Science Bio Computer Science and Applications, PhD (Virginia Tech, 2017)Computer Science and Applications, MSc (Virginia Tech, 2015)Human Centered Computer Systems, MSc (University of Sussex, 1998)Electrical Engineering, BSc (TEI of Western Greece, 1996) "We don't stop playing because we grow old; we grow old because we stop playing." Borrowing this quote from George Bernard Shaw, I strongly believe learning should be fun and playful in order to be effective. This motto drives me personally but also the way I structure my classes and the types of topics I research. If you have a fun and potentially impactful idea, bring it to me!" Panagiotis Apostolellis is a full-time Assistant Professor in the Computer Science Department at the University of Virginia. He received his PhD in Computer Science & Applications from Virginia Tech in 2017. He also holds a MSc in Computer Science from Virginia Tech and an MSc in Human-Centered Systems from the University of Sussex (UK). Additionally, Panagiotis has a Graduate Certificate in Human-Computer Interaction from Virginia Tech (2015). While a graduate student at Virginia Tech (2011-2017), he worked at the Center for Human-Computer Interaction under the guidance of Dr. Doug Bowman, researching the impact of audience interaction using serious games and VR on young student audiences visiting informal learning spaces. His teaching experience involves being an Adjunct faculty member and a Visiting Assistant Professor at Virginia Tech, serving as a Teaching Assistant in multiple CS courses, and teaching diverse audiences about IT and New Media Technologies. His dissertation received the Outstanding Research award for 2017-2018 from the CS department at Virginia Tech. Panagiotis has also extensive experience as a Senior Interactive Systems Designer and Developer at a cultural institution in his home country, Greece (2000-2011). Awards Outstanding Dissertation Award, CS department at Virginia Tech 2017 Research Interests HCI Audience Interaction Informal Learning with Technology 3D User Interfaces User Experience Design Computer Science education Computational Thinking Selected Publications Supporting Social Engagement for Young Audiences with Serious Games and Virtual Environments in Museums. In: Vermeeren A., Calvi L., Sabiescu A. (eds) Museum Experience Design. Springer Series on Cultural Computing. Springer. Apostolellis, P., Bowman, D. A., & Chmiel, M. (2018). Audience involvement and agency in digital games: effects on learning, game experience, and social presence. In Proceedings of the The 15th International Conference on Interaction Design and Children (pp. 299-310). ACM. Apostolellis, P., & Bowman, D. A. (2016, June). Evaluating the effects of orchestrated, game-based learning in virtual environments for informal education. In Proceedings of the 11th Conference on Advances in Computer Entertainment Technology (p. 4). Funchal, Portugal: ACM. Apostolellis, P., & Bowman, D. A. (2014, November). RabBit EscApe: A Board Game for Computational Thinking. In Proceedings of the 13th Interaction Conference on Interaction Design and Children, pp. 349-352. Aarhus, Denmark: ACM Press. Apostolellis, P., Stewart, M., Frisina, C., and Kafura, D. (2014, June). Poster: Exploring the integrality and separability of the Leap Motion Controller for direct manipulation 3D interaction. In IEEE Symposium on 3D User Interfaces (3DUI), pp. 153-154. Minneapolis, MN: IEEE. Apostolellis, P., Bortz, B., Peng, M., Polys, N., & Hoegh, A. (2014, March). Google Scholar ResearchGate Courses Taught CS 1110 Introduction to Programming Fall 2018 CS 3205 HCI in Software Development Contact Information Panagiotis Apostolellis Computer Science Rice 412 85 Engineer's Way Charlottesville, Virginia 22904 Phone: 434.243.2145 Fax: 434.982.2214 panaga@virginia.edu My Links Website diff --git a/src/data/compiled_bios/4094.txt b/src/data/compiled_bios/4094.txt new file mode 100644 index 0000000000..e2019f3dc8 --- /dev/null +++ b/src/data/compiled_bios/4094.txt @@ -0,0 +1 @@ +Connelly Barnes Assistant Professor, Computer Science (by Courtesy) Bio Princeton, 2011 Connelly Barnes was an Assistant Professor in the Department of Computer Science from 2013 to 2016. He is now holds a courtesy appointment with the department. Connelly Barnes received his PhD in Computer Science from Princeton University in 2011 and has received many honors and awards throughout the years including the Gordon Wu Prize for Excellence in scholarship and research in 2010. After earning his PhD, he was a Postdoctoral Research Scientist at Adobe Technology Lab in Cambridge, MA until 2013 when he joined the University of Virginia Department of Computer Science as an Assistant Professor. Research Barnes' research interests are in computer graphics and focus on creation and manipulation of image and video. He is particularly interested in algorithms that take advantage of repetitions in the natural world, non-parametric and randomized algorithms, and making new creative tools that are inspired by the ways artists work. Research Interests Computer Graphics Computational Photography Computer Vision Optimization techniques related to visual computing including compiler technologies Selected Publications PatchMatch: A Randomized Correspondence Algorithm for Structural Image Editing, ACM SIGGRAPH 2009 C. Barnes, E. Shechtman, A. Finkelstein, D. B Goldman RealBrush: Painting with Examples of Physical Media, ACM SIGGRAPH 2013 J. Lu, C. Barnes, S. DiVerdi, A. Finkelstein Video Puppetry: A Performative Interface for Cutout Animation, ACM SIGGRAPH Asia 2008 C. Barnes, D. E. Jacobs, J. Sanders, D. B Goldman, S. Rusinkiewicz, A. Finkelstein, M. Agrawala Contact Information Connelly Barnes csb7z@virginia.edu diff --git a/src/data/compiled_bios/4095.txt b/src/data/compiled_bios/4095.txt new file mode 100644 index 0000000000..67a4645915 --- /dev/null +++ b/src/data/compiled_bios/4095.txt @@ -0,0 +1 @@ +Christoper L. Barrett Executive Director, Biocomplexity Institute & InitiativeProfessor, Computer Science Bio U.S. Navy Aerospace Experimental Psychology, Medical Service Corps Post Ph.D. Certification, 1986California Institute of Technology, Ph.D. in Bioinformation Systems and Engineering Science, 1985California Institute of Technology, M.S., Engineering Science, 1983University of New Mexico, B.S., 1976 "The Biocomplexity Institute encourages formal, analytical and computational methods that unify approaches to disparate problems ranging from biomolecular science to public policy. Our transdisciplinary teams of research scientists create analytical innovations that extend human capability to understand and manage massive interdependencies in the real world. Such problems do not normally conform to disciplinary boundaries or convenient scales; they do not conform to distinctions between engineering and basic science. However, scientific pursuit of ever-improving approaches to these complex problems - as they occur - is critical to human survival. " Christopher L. Barrett, Executive Director, Biocomplexity Institute & Initiative Christopher L. Barrett is Professor and Executive Director of the Biocomplexity Institute & Initiative at the University of Virginia. He is an interdisciplinary computational scientist who has published more than 100 research articles exploring all aspects of large multiscale interaction systems. Over the past 35 years, Barrett has conceived, founded and led large interdisciplinary complex systems research projects and organizations, established national and international technology programs, and co-founded organizations for federal agencies such as the Department of Defense, the Department of Energy and the Department of Homeland Security. He has served in various advisory and collaborative scientific roles internationally. Barrett is the recipient of the 20122013 Jubilee Professorship in Computer Science and Engineering at Chalmers University in Sweden and is a member of the 2010 Royal Colloquium for the King of Sweden. He was a distinguished international professor at the Royal Institute of Technology in Stockholm (19971998). He has received Distinguished Research, Service, Advisory and Security Awards from the U.S. Navy, Los Alamos National Laboratory, and the Alliance for Transportation Research. He has served as advisor to many organizations, including U.S. Government Agencies, the Commonwealth of Virginia, and the European Commission. He holds seven patents and has nine pending. Full Biography | Full CV Awards Jubilee Distinguished Professor of Computer Science at Chalmers University, Sweden 20122013 Distinguished Achievement Award, Los Alamos National Laboratory 1995 Meritorious Service Medal (U.S. Navy) for research and development in automated assisted reasoning systems for naval aircraft 1988 Research Interests Large multi-scale, high-performance modeling and simulation systems grounded in computational and information sciences spanning mathematical, biological, psychological and social sciences Dynamical Networks called Sequential/Graphical systems grounded in topics ranging from RNA to social dynamics and policy Theoretical and applied research in intelligent systems Translational research-to-application analytics and machine intelligence In the News UVA to Lead Statewide 'Biocomplexity Initiative' UVA to Lead Statewide 'Biocomplexity Initiative' UVA Today Article by, Fariss Samarrai The University of Virginia is developing a new statewide, multi-site Biocomplexity Initiative that seeks to employ the principles of interdisciplinary team science to integrate such diverse disciplines as molecular science and public policy analysis in order to solve complex and multidimensional problems in medicine and society. Chris Barrett, a global leader in applying computer science concepts and tools to making new discoveries in complex systems involving human health, habitat and well-being, will lead the initiative. He has directed the Biocomplexity Institute at Virginia Tech for the past four years and is a professor of computer science. He comes to UVA in September to establish an institute that will collaborate with researchers across Virginia. Read More Selected Publications Sequence-structure relations of biopolymers ABS Barrett C, Huang F, Reidys C. Bioinformatics, 33 (3):382389. (2018) Multiplicity of phenotypes and RNA evolution ABS Rezazadegan R, Barrett C, Reidys C. Journal of Theoretical Biology, 447:13946. (2018) A Simulation Environment for the Dynamic Evaluation of Disaster Preparedness Policies and Interventions ABS Lewis B, Swarup S, Bisset K, Eubank S, Marathe M, Barrett C. Journal of Public Health Management and Practice, 19: S42-S48. (2013) Human Initiated Cascading Failures in Societal Infrastructures. ABS Barrett C, Channakeshava K, Huang F, Kim J, Marathe A, Marathe M, Pei G, Saha S, Subbiah R, Vullikanti A PLoS ONE, 7(10): e45406. (2012) Economic and social impact of influenza mitigation strategies by demographic class ABS Barrett C, Bisset K, Leidig J, Marathe A, Marathe M Epidemics ournal, 3(1):19-31. (2011) Predecessor existence problems for finite discrete dynamical systems ABS Barrett C, Hunt III H, Marathe M, Ravi S, Rosenkrantz D, Stearns R, Thakur M. Theoretical Computer Science, 386(12):337. (2007) Complexity of reachability problems for finite discrete dynamical systems ABS Barrett C, Hunt III H, Marathe, M, Ravi, S, Rosenkrantz, D, Stearns, R Journal of Computer and System Sciences, 72(8):13171345. (2006) The distance-2 matching problem and its relationship to the MAC-layer capacity of ad hoc wireless networks ABS Balakrishnan H, Barrett C, Vullikanti A, Marathe M, Thite S IEEE Journal on Selected Areas in Communications, 22(6):1069-1079. (2004) Reachability problems for sequential dynamical systems with threshold functions ABS Barrett C, Hunt III HB, Marathe M, Ravi S, Rosenkrantz D, Stearns R Theoretical Computer Science, 295(13): 4164. (2003) TRANSIMS: Transportation analysis simulation system. Los Alamos National Laboratory Unclassified Report (unclassified). Barrett C, Beckman R, Berkbigler K, Bisset K, Bush B, Campbell K, Marathe M (2001) Elements of a theory of simulation II: sequential dynamical systems ABS Barrett C, Mortveit H, Reidys C Applied Mathematics and Computation, 107(2-3):121-136.(2000) Formal language constrained path problems ABS SIAM Journal of Computing Barrett C, Jacob R, Marathe M , 30(3):809837.(2000) Using Microsimulation Feedback For Trip Adaptation For Realistic Traffic In Dallas ABS Nagel K, Barrett C International Journal of Modern Physics C, 08(03):505-525.(1997) Contact Information Christoper L. Barrett Biocomplexity Institute & Initiative Town Center III 995 Research Park Blvd. Suite 400 Charlottesville, Virginia 22911 ChrisBarrett@virginia.edu diff --git a/src/data/compiled_bios/4096.txt b/src/data/compiled_bios/4096.txt new file mode 100644 index 0000000000..4671016f03 --- /dev/null +++ b/src/data/compiled_bios/4096.txt @@ -0,0 +1 @@ +Nada Basit Assistant Professor, Computer Science Bio B.S. Mary Washington College (now University of Mary Washington), 2003M.S. George Mason University, 2006Ph.D. George Mason University, 2012 Nada Basit is a full-time Assistant Professor in the Computer Science Department at the University of Virginia. She received her PhD in Computer Science from George Mason University and earned her MS degree at GMU as well. She received her BS in computer science from University of Mary Washington. In addition, she has a Graduate Certificate in Biometrics from the Volgenau School of Engineering at George Mason University (2010). While a graduate student at George Mason University, she had extensive teaching experience both as a Graduate Teaching assistant to a number of graduate level courses there, and as an Adjunct faculty member teaching a number of undergraduate courses at University of Mary Washington. She was also selected to be a Research Fellow in the summer of 2001 at the Pratt School of Engineering at Duke University. Research Interests Machine Learning Bioinformatics Data Mining Pattern Recognition Biometrics Computer Science Education Selected Publications Prediction of Enzyme Mutant Activity Using Computational Mutagenesis and Incremental Transduction, Advances in Bioinformatics, vol. 2011, Article ID 958129, 9 pages, 2011. doi:10.1155/2011/958129. Nada Basit and Harry Wechsler On-line Learning using Semi-Supervised Learning (SSL) and Transduction as New Learning Technology for Undergraduate Bioinformatics Studies. Faculty Academy on Teaching and Learning Technologies, University of Mary Washington, Stafford, Virginia, 2011. N. Basit and H. Wechsler Explanation and Prediction of nsSNP-Induced Pathology Using Association Mining, Transduction, and Active Learning, Advanced Studies in Biology, vol. 5, no. 5, pp. 199-214, 2013. Nada Basit and Harry Wechsler Courses Taught CS4750 "Database Systems" CS2110 "Software Development Methods" CS1111 "Introduction to Programming" (CS1, for students with prior experience) CS 5010 "Programming and Systems for Data Analysis" CS 5012 "Foundations of Computer Science" CS 6750 "Database Systems" Contact Information Nada Basit Computer Science Office: Rice 405 P.O. Box 400740 Charlottesville, Virginia 22904 Phone: 434-982-2213 basit@virginia.edu diff --git a/src/data/compiled_bios/4097.txt b/src/data/compiled_bios/4097.txt new file mode 100644 index 0000000000..63900ea5ac --- /dev/null +++ b/src/data/compiled_bios/4097.txt @@ -0,0 +1 @@ +Madhur Behl Assistant Professor, Computer ScienceEngineering Systems & Environment Bio B.S. PEC University of Technology, Chandigarh, India, 2009M.S. University of Pennsylvania, 2012Ph.D. University of Pennsylvania, 2015Post-Doc University of Pennsylvania, Jan 2016 - June 2016 "My research develops foundational data-driven theory and tools for problems of modeling, control, simulation, and operation of cyber-physical systems." Madhur Behl, Assistant Professor Dr. Madhur Behl, is an assistant professor in Computer Science at the University of Virginia. He has a secondary appointment in Engineering Systems & Environment at UVA. He is also the Co-Founder of Expresso Logic, a NSF SBIR small business delivering machine learning solutions to control engineering problems. He received his Ph.D. (2015) and M.S. (2012), in Electrical and Systems Engineering, both from the University of Pennsylvania. He has held visiting researcher positions at Honeywell Automation and Control Laboratory, and at ETH Zurich, Switzerland. His research interests lie in cyber physical systems, machine learning, control systems, statistics, and optimization. His work on Data Predictive Control (DPC) aims at bridging the gap between machine learning and control synthesis. Applications of his work include energy-efficient buildings, smart cities, industrial automation, advanced manufacturing, autonomous vehicles, internet of things, and medical devices. Dr. Behl is the winner of the Department of Energys EERE 2016 Cleantech University Prize (regional). His research has won the TECHCON Best Paper Award (2015), and the best demo award at BuildSys, 2012. In 2011, he won the World Embedded Software Contest held in Seoul by the Korean Ministry of Knowledge Economy. He is also the recipient of the 2011 Richard K. Dentel Memorial Prize awarded for research in urban transportation. Dr. Behl also serves as an invited member on the Future Directions subcommittee of the IEEE Power and Energy Society. Awards Winner of the 2106 DoE EEREs Allegheny Region Cleantech University Prize, Carnegie Mellon University, Pittsburgh, USA. 2016 Best Paper Award , for Sometimes, Money Does Grow on Trees: Data-Driven Demand Response with DR-Advisor, Internet of Things Session at the Semiconductor Research Corporations (SRC) TECHCON, Austin, USA. 2015 Best Demo Award at BuildSys, 4th ACM Workshop On Embedded Systems For Energy-Efficiency In Buildings, Toronto, Canada. 2012 Richard K. Dentel Memorial Prize in Urban Transportation, University of Pennsylvania, Philadelphia, USA. 2011 Winner of the World Embedded Software Contest, Korean Ministry of Knowledge Economy and Electronics and Telecommunications Research Institute (ETRI), Seoul, South Korea. 2010 Research Interests Internet of Things Autonomy and Controls/Control Systems Intelligent Transportation Systems Smart Buildings/Cities Human Machine Interface Machine Learning, Text Mining, Information Retrieval Computational Statistics and Simulation/Statistical Modeling Optimization Models and Methods Machine Learning Selected Publications Data-Driven Modeling, Control and Tools for Cyber- Physical Energy Systems ACM/IEEE Conference on Cyber-Physical Systems, April 2016 ABS Madhur Behl, Achin Jain, and Rahul Mangharam "Data Predictive Control for Peak Power Reduction", ACM Proceedings of the 3rd ACM International Conference on Systems for Energy-Efficient Built Environments, Pg. 109-118, BuildSys 2016, Palo Alto, November 2016. ABS Achin Jain, Rahul Mangharam, Madhur Behl DR-Advisor: A data-driven demand response rec- ommender system Journal of Applied Energy, v. 170, pages 30-46 , 2016. ABS Madhur Behl, Francesco Smarra, Rahul Mangharam " Model-IQ: Uncertainty Propagation from Sensing to Modeling and Control in Buildings." , ACM/IEEE 5th International Conference on Cyber-Physical Systems (with CPS Week 2014), Pages 13-24,Berlin, Germany, April 2014 ABS Madhur Behl, Truong Nghiem, Rahul Mangharam "Data Predictive Control for building energy management", In Proceedings of the 2017 American Control Conference. IEEE, May 2017. Achin Jain, Madhur Behl, Rahul Mangharam Google Scholar ResearchGate Courses Taught F1/10 Autonomous Racing - Control, Algorithms and Embedded Design. Spring 2016 Featured Grants & Projects Expresso Logic I am the co-founder of Expresso logic, a NSF SBIR and DoE Cleantech awardee startup delivering customized machine learning based solution to domain specific control engineering problems. Our DropLogic demand response software provides a data intelligence layer and a recommendation systems for buildings and electricity grid operators, and helps remove any guesswork from the implementation of optimized electricity demand response. Better demand response means that less efficient, and often more expensive, forms of electricity generation do not need to come online during times of high electricity demand. Contact Information Madhur Behl Computer Science, Engineering Systems & Environment Office: Olsson Hall, Rm. 265 Lab: Link Lab PO Box 400336 Charlottesville, Virginia 22904 Phone: 434-924-1021 madhur.behl@virginia.edu Linkedin My Links Website Link Lab Autonomous Racing Competition diff --git a/src/data/compiled_bios/4098.txt b/src/data/compiled_bios/4098.txt new file mode 100644 index 0000000000..4037dcaa49 --- /dev/null +++ b/src/data/compiled_bios/4098.txt @@ -0,0 +1 @@ +Aaron Bloomfield Professor, Computer Science Bio B.S. SUNY Stony Brook, 1996M.S. SUNY Stony Brook, 1997Ph.D. University of Pennsylvania, 2003Post-Doc University of Pennsylvania, 2004, with Norman Badler Aaron Bloomfield is a professor who joined the department of Computer Science in 2004. He earned his BS and MS in Computer Science at SUNY Stony Brook, and his Ph.D. in Computer and Information Science at the University of Pennsylvania in 2003. His research focuses on computer science education, specializing in assessment systems and systems to expedite grading while increasing it's efficacy. He has a heavy emphasis on teaching, and he created the CS department's Service Learning Practicum, a two semester capstone for CS majors. He has won over a dozen teaching awards, including the Hartfield-Jefferson Teaching Prize, Trigon Engineering Society's Hutchinson Award, and an All-University teaching award. Awards All-University Teaching Award (university-wide award) 2016 International Collegiate Programming Contest (ICPC) Coach Award 2014 Raven Society Membership, a UVa honor society for service contributions to UVa 2014 P.U.M.P.K.I.N. Society (a UVa secret society) commendation 2012 Hartfield-Jefferson Scholars Teaching Prize (one of the two top UVa Engineering school-wide teaching awards) 2011 Harold S. Morton Teaching Prize (the other one of the two top UVa Engineering school-wide teaching awards) 2011 Phi Eta Sigma honor society Faculty Teaching Award (UVa honor society; university-wide award) 2009 Sigma Alpha Lambda Chapter Adviser of the Year award (national honor society; national award) 2008 ACM Professor of the year (UVa departmental-wide teaching award) 2008 Trigon Engineering Society's Thomas Hutchinson Faculty Award (UVa Engineering school-wide teaching award) 2006 ACM Professor of the year (UVa departmental-wide teaching award) 2006 Rodman Scholars Professor of the year (UVa Engineering school-wide teaching award) 2006 ACM Professor of the year (UVa departmental-wide teaching award) 2005 Teaching Assistant of the Year (University of Pennsylvania university-wide award) 2000 Teaching Assistant of the Year (University of Pennsylvania departmental award) 1999 Research Interests Computer Science Education Cybersecurity Software Engineering In the News UVAs Top Teachers Beloved as Role Models Professor Bloomfield was among 13 UVA faculty chosen for a range of teaching awards sponsored by the Office of the Executive Vice President and Provost. Read More Selected Publications "A Programming Contest Strategy Guide". Proceedings of the 47th ACM Technical Symposium on Computer Science Education (SIGCSE), March 2016, Memphis, TN. Aaron Bloomfield and Borja Sotomayor. "A Service Learning Practicum Capstone". Proceedings of the 45th ACM Technical Symposium on Computer Science Education (SIGCSE), March 2014, Atlanta, GA. Aaron Bloomfield, Mark Sherriff, and Kara Williams. "Evolution of a Digital Paper Exam Grading System". Frontiers In Education, October 2010, Arlington, VA. Aaron Bloomfield. "A Tablet-based Paper Exam Grading System". Proceedings of the 13th Annual Conference on Innovation and Technology in Computer Science Education (ITiCSE), pages 83-87, 2008. Aaron Bloomfield and James F. Groves. "Virtual Training via Vibrotactile Arrays." Presence: Teleoperators and Virtual Environments, April, 2008, volume 17, number 2, pages 103120. Aaron Bloomfield and Norman Badler. Courses Taught CS 1110: Introduction to Computing 5 semesters: spring '05, fall '05, spring '06, fall '06, spring '07 CS 1111: Introduction to Computing, advanced section 1 semester: fall '04 CS 2102: Discrete Math 3 semesters: fall '04, spring '05, spring '07 CS 2150: Program and Data Representation 20 semesters: every fall and spring semester from fall '07 through spring '17 CS 4102: Algorithms 2 semesters: fall '10, spring '11 CS 4240: Object Oriented Design 3 semesters: spring '06, spring '08, fall '09 CS 4501: Advanced Algorithms and Implementations 1 semester: fall '11 CS 4610: Programming Languages 1 semester: fall '05 CS 4630: Dark Arts 8 semesters: spring '09, summer '10, summer '11, spring '12, summer '12, summer '16, summer '17, fall '17 CS 4730: Computer Game Design 3 semesters: fall '08, spring '10, fall '11 CS 4810: Computer Graphics 3 semesters: fall '06, fall '07, summer '09 CS 4970: Capstone Practicum I, a.k.a. Service Learning Practicum 7 semesters: spring '12, and each fall from 2012 to 2017 CS 4971: Capstone Practicum II, a.k.a. Service Learning Practicum 4 semesters: each spring from 2013 to 2016 ENGR 3580: The Science Of Beer Brewing 3 semesters: spring '08, spring '09, spring '10 ENGR 3580: Wine Engineering 2 semesters: fall '07, fall '08 Contact Information Aaron Bloomfield Computer Science Office: Rice 403 PO Box 400740 Charlottesville, Virginia 22904 Phone: 434-982-2215 aaron@virginia.edu My Links Website diff --git a/src/data/compiled_bios/4099.txt b/src/data/compiled_bios/4099.txt new file mode 100644 index 0000000000..876410cddb --- /dev/null +++ b/src/data/compiled_bios/4099.txt @@ -0,0 +1 @@ +Nathan Brunelle Assistant ProfessorComputer Science Bio PhD in Computer Science, UVA, 2017Masters of Computer Science, UVA, 2013BA in Math and Computer Science, UVA, 2011 Nathan Brunelle is an Assistant Professor in the Department of Computer Science. Awards UVA Department of Computer Science ACM Teacher of the Year 2017-2018 UVA Distinguished Teaching Award in the STEM Disciplines 2016-2017 Research Interests Algorithms, Compression Compression Complexity Theory, Automata Theory CS Education Courses Taught CS1110 Introduction to Programming Fall 2018 CS 2102 Discrete Math Summer 2018 CS 4102 Algorithms Summer 2018 CS2190 Computer Science Seminar Spring 2018 CS4102 Algorithms Spring 2018 CS4102 Algorithms Fall 2017 CS3102 Theory of Computation Spring 2015 Contact Information Nathan Brunelle Computer Science Rice Hall, Room 209 85 Engineer's Way Charlottesville, Virginia 22904 Phone: 434.243.3845 Fax: 434.982.2214 diff --git a/src/data/compiled_bios/41.txt b/src/data/compiled_bios/41.txt new file mode 100644 index 0000000000..ab3adab99e --- /dev/null +++ b/src/data/compiled_bios/41.txt @@ -0,0 +1 @@ + Derek W Hoiem Associate Professor 3312 Siebel Center for Comp Sci 201 N. Goodwin Ave. Urbana Illinois 61801 (217) 333-0806 dhoiem@illinois.edu : Primary Research Area Artificial Intelligence Research Areas Artificial Intelligence Academic Positions Assistant Professor (Affiliate), Department of Electrical and Computer Engineering, UIUC, January 2010 to 2015. . Research Interests Computer Vision, Object Recognition, Scene Understanding, Graphics Primary Research Area Artificial Intelligence Research Areas Artificial Intelligence . . . diff --git a/src/data/compiled_bios/410.txt b/src/data/compiled_bios/410.txt new file mode 100644 index 0000000000..b5c417cda5 --- /dev/null +++ b/src/data/compiled_bios/410.txt @@ -0,0 +1 @@ +Name: Wong, W. Eric:: Position: Professor, Director of International Outreach:: Degrees: Ph.D., Computer Science, Purdue University; M.S., Computer Science, Purdue University; B.S., Computer Science, Eastern Michigan University; Research Interests: Program-Based Testing, Debugging, Reliability, Safety, and Analysis; Architecture/Design-Based Testing, Debugging, Metrics, and Analysis; diff --git a/src/data/compiled_bios/4100.txt b/src/data/compiled_bios/4100.txt new file mode 100644 index 0000000000..eb9f793015 --- /dev/null +++ b/src/data/compiled_bios/4100.txt @@ -0,0 +1 @@ +Brad Campbell Assistant Professor Computer Science and Electrical Engineering Bio PhD, University of Michigan, 2017 "How do we power, program, network, manage, and interact with trillions of smart devices? The potential for great impact exists, and my research focuses on designing, building, and deploying systems to answer these questions." Brad Campbell Brad joined the University of Virginia in 2017 as a member of the Link Lab after receiving his Ph.D. from the University of Michigan. His research interests broadly include wireless embedded systems, with a focus on new energy-harvesting sensors, networks of connected "things", and application-driven sensing systems and deployments. Awards Research Interests Internet of Things Smart buildings/cities Embedded systems Selected Publications Safely and Efficiently Multiprogramming a 64 kB Computer - SOSP'17 Amit Levy, Bradford Campbell, Branden Ghena, Daniel B. Giffin, Pat Pannuto, Prabal Dutta, and Philip Levis Gemini: A Non-invasive, Energy-Harvesting True Power Meter - RTSS'14 ABS Bradford Campbell and Prabal Dutta An Energy-Harvesting Sensor Architecture and Toolkit for Building Monitoring and Event Detection - BuildSys'14 ABS Bradford Campbell and Prabal Dutta Monjolo: An Energy-harvesting Energy Meter Architecture - SenSys'13 ABS Samuel DeBruin, Bradford Campbell, and Prabal Dutta Google Scholar Courses Taught CS 6501 - IoT Sensors and Systems Fall 2017 Course Catalog Contact Information Brad Campbell Computer Science 241 Olsson P.O. Box 400336 Charlottesville, Virginia 22904 bradjc@virginia.edu Twitter My Links Website LinkLab Github diff --git a/src/data/compiled_bios/4101.txt b/src/data/compiled_bios/4101.txt new file mode 100644 index 0000000000..07dc3b2dbf --- /dev/null +++ b/src/data/compiled_bios/4101.txt @@ -0,0 +1 @@ +James Cohoon Associate Professor, Computer Science Bio B.S. Ramapo College of New Jersey, 1976M.S. Pennsylvania State University, 1978Ph.D. University of Minnesota, 1982 "My algorithms help optimize the physical design of everyday digital devices. My educational research enables CS classrooms to be effective to all." James Cohoon, Associate Professor Jim Cohoon received his Ph.D. in Computer Science from the University of Minnesota and is an Associate Professor at the University of Virginia. He is an Associate Chair for its Department of Computer Science and Director of its undergraduate BS program. He is a former Fulbright Scholar and winner of the IEEE Computer Science Taylor L. Booth Education Award. He has been a member of ACM Council and the ACM SIG Governing Board Executive Committee, and is a past chair of the ACM SIG for Design Automation. Jim Cohoon has co-authored several programming language textbooks. His research interests are swarm algorithms and models, probabilistic search, routing, and Computer Science education and broadening participation. He and his students produce state-of-the-art tools that are practical as well as theoretically interesting. In Computer Science education Jim Cohoon is a proponent of continuous active learning, continuous active student recruiting, and regular outreach. Awards IEEE Computer Society Taylor Booth Education Award for outstanding efforts to transform introductory computer science education University of Virginia School of Engineering and Applied Science Harold S. Morton Award for Teaching Research Interests Optimization Models and Methods Algorithms VLSI Design Selected Publications Analysis of a CS1 approach for attracting diverse and inexperienced students to computing majors J. P. Cohoon and L. Tychonievich, SIGCSE Technical Symposium, pp. 165 - 170, Dallas, TX, 2011. Java Program Design: Third edition, McGraw-Hill J.P. Cohoon and J. W. Davidson Beaver: a computational-geometry-based tool for switchbox routing, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, June 1988, pp. 684-697 J. P. Cohoon and P. L. Heck Educating Diverse Computing Students at the University of Virginia, IEEE Computer, March 2013, pp. 52-55. J. P. Cohoon, J M. Cohoon, and M. L. Soffa Swarms of Limited Capacity Agents: Meeting and Staying Together (without trust), International Journal of Computer Science (IJCS), Volume 39, Issue 3, 2012, pp. 254260. L. A. Tychonievich and J. P. Cohoon Routing a multi-terminal critical net: Steiner tree construction in the presence of obstacles, IEEE International Conference on Circuits and Systems, London, UK, June 1994, pp. 113-116. R, J. L. Ganley and J. P. Cohoon Courses Taught CS 1112 CS 2102 CS 3102 CS 4102 Featured Grants & Projects NSF #1042452: Training high school CS Educators to Attract More & Diverse Students ($1.25 M) Provide research-proven educational practices that engage all students resulting in significant increases in the number of women interested in Computer Science. NSF #1432619: Professional Development for Community College Computer Science Faculty ($1.4 M) Develop a MOOC to provide research-proven educational practices to attract, retain, and educate diverse people to Computer Science. Contact Information James Cohoon Computer Science Office: Rice 426 85 Engineer's Way Charlottesville, Virginia 22904 Phone: 434-982-2210 Fax: Fax: 434-982-2214 jpc@virginia.edu Twitter My Links LH4CS Tapestry Workshops NCWIT (National Center for Women in Information Technology) Joanne McGrath Cohoon Wikipedia diff --git a/src/data/compiled_bios/4102.txt b/src/data/compiled_bios/4102.txt new file mode 100644 index 0000000000..8eb6b873c6 --- /dev/null +++ b/src/data/compiled_bios/4102.txt @@ -0,0 +1 @@ +Jack W. Davidson Professor, Computer ScienceDirector, Cyber Defense Program of Study Bio Ph.D. University of Arizona, 1981M.S. Southern Methodist UniversityB.A.S. Southern Methodist University, 1975 "Securing computer systems that society relies for critical services such as: transportation, communication, power, defense, and finance." Jack W. Davidson, Professor of Computer Science Jack W. Davidson is a Professor of Computer Science in the School of Engineering and Applied Science at the University of Virginia. He joined the faculty in 1981 after receiving his Ph.D. in Computer Science from the University of Arizona. Professor Davidsons research interests include compilers, computer security, programming languages, computer architecture, and embedded systems. He is the principal investigator on several ongoing grants to develop comprehensive methods for protecting software from malicious attacks. Professor Davidson is a Fellow of the ACM and a Senior Member of the IEEE Computer Society. He served as an Associate Editor of ACMs Transactions on Programming Languages and Systems for six years, and as an Associate Editor of ACMs Transactions on Architecture and Compiler Optimizations for eight years. He served as Chair of ACMs Special Interest Group on Programming Languages (SIGPLAN) from 2005 to 2007. He currently serves on the ACM Executive Council and is co-chair of ACMs Publication Board that oversees all aspects of ACMs publications and the operation of ACMs Digital Library. Professor Davidson is co-author of two best-selling introductory programming textbooks, C++ Program Design: An Introduction to Object-Oriented Programming, 3rd edition and Java 5.0 Program Design: An Introduction to Object-Oriented Programming, 2nd edition. He and his colleague, James P. Cohoon, received the 2008 IEEE Taylor L. Booth Award for their sustained effort to transform introductory computer science education. Awards ACM Fellow 2008 IEEE Computer Society Taylor L. Booth Award 2008 NCR Faculty Innovation Award 1989 Research Interests Cybersecurity Risk Management Systems Integration Computer Architecture Grid/Cloud/High-performance Computing Programming Languages and Compilers Selected Publications Evaluating Indirect Branch Handling Mechanisms in Software Dynamic Translation Systems. ACM Transactions on Architecture and Code Optimization, 8(2), July 2011, Article No. 9. ABS J. D. Hiser, D. W. Williams, W. Hu, J. W. Davidson, J. Mars and B. R. Childers. A Proof Infrastructure for Binary Programs. Proceedings of the 8th International Symposium NASA Formal Methods, Minneapolis, MN, June 2016, pp. 337343. ABS Ashlie B. Hocking, Benjamin D. Rodes, John C. Knight, Jack W. Davidson, Clark L. Coleman. ILR: Where did my gadgets go? Proceedings of the 2012 IEEE Symposium on Security and Privacy, San Francisco, May 2012, pp. 571585. ABS J. Hiser, A. Nguyen-Tuong, M. Co, M. Hall, and J. W. Davidson. Security through Redundant Data Diversity, Proceedings of the 38th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, Anchorage, AK, June 2008, pp. 187196. ABS A. Nguyen-Tuong, D. Evans, J. C. Knight, B. Cox, and J. W. Davidson. Retargetable and Reconfigurable Software Dynamic Translation. Proceedings of the International Symposium on Code Generation and Optimization, San Francisco, CA, March 2003, pp. 3647. ABS K. Scott, N. Kumar, S. Velusamy, B. Childers, J. W. Davidson and M. L. Soffa. Featured Grants & Projects Double Helix: High Assurance N-variant Systems Funding Agency: Advanced Research Projects Agency (DARPA) Double Helix is a $5.9M four-year joint project of University of Virginia, SRI International, and Arizona State Univeristy. Double Helix is a binary analysis and transformation system that will process binary applications to defend (ATDs) and produce variants with diverse binary structures that are intended to be deployed within a multi-variant fault-tolerant system. A unique aspect of Double Helix is that it will employ structured diversity to guarantee that variants behave differently when attacked providing high-assurance operation for mission-critical systems. Read More Trusted and Resilent Mission Operation Funding Agency: Air Force Research Laboratory This $1.25M one-year project is a joint effort of University of Michigan, Arizona State University, Kestrel Institute, Raytheon BBN, and Carnegie Mellon University. The goal of the project is to develop and evaluate a novel system for improving the trust and resiliency of cyber physical systems. The project focuses on resilient systems that avoid or recover from attacks, trust violations or environmental changes to complete missions. Because such resiliency is often achieved by adapting to new circumstances or repairing weaknesses, we also focus on providing trust to the human operator that the changed system operates correctly. Contact Information Jack W. Davidson Computer Science Office: Rice Hall 428 P.O. Box 400740 Charlottesville, Virginia 22904 Phone: 434-982-2209 Fax: Fax: 434-982-2214 jwd@virginia.edu My Links Personal Website diff --git a/src/data/compiled_bios/4103.txt b/src/data/compiled_bios/4103.txt new file mode 100644 index 0000000000..d18c0661bc --- /dev/null +++ b/src/data/compiled_bios/4103.txt @@ -0,0 +1 @@ +Craig Dill Lecturer, Computer Science Bio M.S. Computer Science, George Mason University, 1998 Craig Dill has been an Lecturer in the Department of Computer Science at the University of Virginia since 2016. Courses Taught CS 1010 Introduction to Information Technology CS 1110 Introduction to Programming Contact Information Craig Dill Rice Hall, Room 420 85 Engineer's Way Charlottesville, Virginia 22904 cd9au@virginia.edu My Links CS 1010 Website diff --git a/src/data/compiled_bios/4104.txt b/src/data/compiled_bios/4104.txt new file mode 100644 index 0000000000..c427acb611 --- /dev/null +++ b/src/data/compiled_bios/4104.txt @@ -0,0 +1 @@ +Dimitris Diochnos Research Associate, Computer Science Bio B.S. in Informatics and Telecommunications, University of Athens, 2004M.S. in Mathematics, University of Athens, 2007Ph.D. in Mathematical Computer Science, University of Illinois at Chicago, 2013Post-Doc, School of Informatics, The University of Edinburgh, 2013-2015 Awards IJCAI-16 Quality Reviewing (1 Blue Ribbon) 2016 Chancellor's Graduate Research Fellowship, University of Illinois at Chicago 2010-2011 (maximum 2 years) Teaching Award, University of Illinois at Chicago (MCS 260 - Introduction to Computer Science) Fall 2009 Fellowship for Undergraduate Studies (Zossima) 1998-2003 Research Interests Machine Learning Artificial Intelligence Data Science Theoretical Computer Science Selected Publications Adversarial Risk and Robustness: General Definitions and Implications for the Uniform Distribution Dimitrios I. Diochnos, Saeed Mahloujifar, Mohammad Mahmoody. NIPS 2018 Learning under p-Tampering Attacks Saeed Mahloujifar, Dimitrios I. Diochnos, Mohammad Mahmoody. ALT 2018 SmartOrch: an adaptive orchestration system for human-machine collectives Michael Rovatsos, Dimitrios I. Diochnos, Zhenyu Wen, Sofia Ceppi, Pavlos Andreadis. SAC 2017 On the Evolution of Monotone Conjunctions: Drilling for Best Approximations Dimitrios I. Diochnos. ALT 2016 On multiple-instance learning of halfspaces Dimitrios I. Diochnos, Robert H. Sloan, Gyrgy Turn. Information Processing Letters 112(23): 933-936 (2012) Leveling-Up in Heroes of Might and Magic III Dimitrios I. Diochnos. FUN 2010 On the asymptotic and practical complexity of solving bivariate systems over the reals Dimitrios I. Diochnos, Ioannis Z. Emiris, Elias P. Tsigaridas. Journal of Symbolic Computation 44(7): 818-835 (2009) On Evolvability: The Swapping Algorithm, Product Distributions, and Covariance Dimitrios I. Diochnos, Gyrgy Turn. SAGA 2009 Google Scholar ResearchGate Courses Taught CS 3102 - Theory of Computation Fall 2018 CS 6501 - Learning Theory Fall 2015, Spring 2017, Spring 2018 CS 4710 - Artificial Intelligence Spring 2016, Fall 2016, Fall 2017 Contact Information Dimitris Diochnos Computer Science Rice Hall, 532 85 Engineer's Way Charlottesville, Virginia 22904 diochnos@virginia.edu Twitter Linkedin My Links Website DBLP diff --git a/src/data/compiled_bios/4105.txt b/src/data/compiled_bios/4105.txt new file mode 100644 index 0000000000..6d30a9b926 --- /dev/null +++ b/src/data/compiled_bios/4105.txt @@ -0,0 +1 @@ +Matt Dwyer ProfessorComputer Science Bio PhD, University of Massachusetts at AmherstMS, University of Massachusetts at BostonBSEE, University of Rochester Matthew B. Dwyer is a John C. Knight Faculty Fellow and Professor in the Department of Computer Science at the University of Virginia. His research interests focus on methods for reasoning about the behavior of software. His prior work has improved and applied a wide-range of formal reasoning frameworks, such as model checking, symbolic execution, and abstract interpretation, to programs. His current efforts are exploring methods to assure the dependability of autonomous systems built from diverse component sources (e.g., software built by humans, trained by machine-learning approaches, or synthesized from high-level models). Awards ACM Distinguished Scientist 2007 ICSE Most Influential Paper Award 2010 SIGSOFT Impact Paper Award 2010 Fulbright Research Scholar 2011 IEEE Fellow 2013 LERO Parnas Fellow 2018 SIGSOFT ESEC/FSE Test of Time Award 2018 Research Interests Software Verification and Validation, Software Engineering, Program Analysis Contact Information Matt Dwyer Computer Science Rice 424 PO Box 400740 Charlottesville, Virginia 22904 Phone: 434-243-5206 Fax: 434-982-2214 matthewbdwyer@virginia.edu My Links Website Google Scholar diff --git a/src/data/compiled_bios/4106.txt b/src/data/compiled_bios/4106.txt new file mode 100644 index 0000000000..3cbe5bc6e0 --- /dev/null +++ b/src/data/compiled_bios/4106.txt @@ -0,0 +1 @@ +Sebastian Elbaum Professor, Computer Science Bio Awards IROS Best Paper Award 2018 Best Demo Award ISSTA 2017 ACM Distinguished Paper Awards: ICSE 2016, ISSTA 2013, ICSE 2012, ICSE 2008, FSE 2006 ACM Distinguished Scientist 2016 Google Faculty Research Award 2012 IBM Eclipse Innovation Award 2006 Distinguished Visitor, Universidad Catolica de Cordoba 2007 Academic Fellowship, University College London 2007 National Science Foundation CAREER Award 2004 - 2009 Research Interests Software Engineering and Robotics Selected Publications "Redefining Prioritization: Continuous Prioritization for Continuous Integration," International Conference in Software Engineering, May 2018 J. Liang, S. Elbaum, and G. Rothermel "Dimensional inconsistencies in code and ROS messages: A study of 5.9M lines of code," International Symposium on Experimental Robotics, 712-718, September 2017 J. Ore, C. Detweiler, and S. Elbaum "Inferring and monitoring invariants in robotic systems." Autonomous Robots 41(4): 1027-1046, 2017 H. Jiang, S. Elbaum, and C. Detweiler Lightweight detection of physical unit inconsistencies without program annotations, International Symposium on Software Testing and Analysis, 341-351, July 2017 J. Ore, C. Detweiler, and S. Elbaum Rate impact analysis in robotic systems, International Conference on Robotics and Automation, 2089-2096, June 2017 N. Sharma, S. Elbaum, and C. Detweiler Improving the cost-effectiveness of symbolic testing techniques for transport protocol implementations under packet dynamics, International Symposium on Software Testing and Analysis, 79-89, July 2017 W. Sun, L. Xu, and S. Elbaum Co-Diagnosing Configuration Failures in Co-Robotic Systems, International Conference on Intelligent Robots and Systems, 2934-2939, September 2016 A. Taylor, S. Elbaum, and C. Detweiler Code search with input/output queries: Generalizing, ranking, and assessment. Journal of Systems and Software, Elsevier, 16():35-48, 2016 K. Stolee, S. Elbaum, and M. Dwyer On the techniques we create, the tools we build, and their misalignments: a study of KLEE, International Conference in Software Engineering, 132-143, May 2016. Distinguished paper award E. Rizzi, S. Elbaum, and M. Dwyer Autonomous Aerial Water Sampling. Journal of Field Robotics 32(8): 1095-1113, 2015 J.P. Ore, S. Elbaum, A. Burgin, and C. Detweiler Google Scholar Courses Taught My teaching focuses on instilling cost-effective software development principles. I have recently taught Software Engineering, Program Analysis, Software Engineering for Robotics. Contact Information Sebastian Elbaum Computer Science Rice 423 PO Box 400740 Charlottesville, Virginia 22904 Phone: 434-243-5213 Fax: 434-982-2214 selbaum@virginia.edu diff --git a/src/data/compiled_bios/4107.txt b/src/data/compiled_bios/4107.txt new file mode 100644 index 0000000000..45cd4cdf06 --- /dev/null +++ b/src/data/compiled_bios/4107.txt @@ -0,0 +1 @@ +David Evans Professor, Computer Science Bio For information about me and my research, please see my web page and research group blog. Awards ACM Conference on Computer and Communications Security PC Co-Chair 2017 Distinguished Research Award 2014 IEEE Technical Committee on Security and Privacy Award for Outstanding Community Service 2010 State Council of Higher Education for Virginia Outstanding Faculty Award 2009 Defense Science Study Group Fellow 20089 All-University Teaching Award 2008 Harold Morton Jr. Award for Teaching 2004 ACM Jefferson Undergraduate Teaching Award 2002 University Teaching Fellow 2001 National Science Foundation CAREER Award 2001 Selected Publications Dori-Mic and the Universal Machine! A Tragicomic Tale of Combinatorics and Computability for Curious Children of All Ages (With Illustrations by Kim Dylla), 2014. ABS David Evans Introduction to Computing: Explorations in Language, Logic, and Machines. Introductory computer science coursebook, 2007-2012. ABS David Evans Google Scholar Courses Taught cs1120: Introduction to Computing: Explorations in Language, Logic, and Machines cs2102: Discrete Mathematics cs2220: Engineering Software cs2150: Program and Data Representation cs3102: Theory of Computation cs4414: Operating Systems cs4501: Cryptocurrency cs588: Cryptology: Principles and Applications For more courses, see https://www.cs.virginia.edu/evans/courses Course Catalog Contact Information David Evans Computer Science evans@virginia.edu My Links Home Page Research Group Blog Schedule a Meeting Google Scholar Semantic Scholar diff --git a/src/data/compiled_bios/4108.txt b/src/data/compiled_bios/4108.txt new file mode 100644 index 0000000000..e0658b0fae --- /dev/null +++ b/src/data/compiled_bios/4108.txt @@ -0,0 +1 @@ +Farzad Farnoud Assistant Professor, Electrical and Computer EngineeringComputer Science Bio B.S. Sharif University of Technology, EE, 2006M.S. University of Toronto, ECE, 2008 / University of Illinois, Mathematics, 2012Ph.D. University of Illinois, ECE, 2013Post-Doc California Institute of Technology, 2013-2016 "My research facilitates modeling, analysis, and storage of large datasets, especially biological data." Farzad Farnoud, Assistant Professor Farzad Farnoud is an Assistant Professor in the Electrical and Computer Engineering Department and the Computer Science Department at the University of Virginia. Previously, he was a postdoctoral scholar at the California Institute of Technology. He received his MS degree in Electrical and Computer Engineering from the University of Toronto in 2008. From the University of Illinois at Urbana-Champaign, he received his MS degree in mathematics and his Ph.D. in Electrical and Computer Engineering in 2012 and 2013, respectively. His research interests include the information-theoretic and probabilistic analysis of genomic evolutionary processes; rank aggregation and gene prioritization; and coding for flash memory and DNA storage. He is the recipient of the 2013 Robert T. Chien Memorial Award from the University of Illinois for demonstrating excellence in research in electrical engineering and the recipient of the 2014 IEEE Data Storage Best Student Paper Award. Awards Robert T. Chien Memorial Award from the University of Illinois for demonstrating excellence in research in electrical engineering 2013 IEEE Data Storage Best Student Paper Award 2014 Research Interests Risk and Decision Analysis Biomedical Data Sciences Stochastic Modeling Machine Learning Wireless and Optical Communication Systems Selected Publications On the duplication distance of binary strings, in 2016 IEEE International Symposium on Information Theory (ISIT), 2016. N. Alon, J. Bruck, F. Farnoud, and S. Jain Duplication-correcting codes for data storage in the DNA of living organisms, in 2016 IEEE International Symposium on Information Theory (ISIT), 2016. S. Jain, F. Farnoud, M. Schwartz, and J. Bruck The Capacity of String-Duplication Systems, IEEE Transactions on Information Theory, vol. 62, no. 2, pp. 811824, Feb. 2016. F. Farnoud, Moshe Schwartz, and Jehoshua Bruck Bounds for Permutation Rate-Distortion, IEEE Transactions on Information Theory, vol. 62, no. 2, pp. 703712, Feb. 2016. F. Farnoud, M. Schwartz, and J. Bruck MetaCRAM: an integrated pipeline for metagenomic taxonomy identification and compression, BMC Bioinformatics, vol. 17, p. 94, 2016. M. Kim, X. Zhang, J. G. Ligo, F. Farnoud, V. V. Veeravalli, and O. Milenkovic HyDRA: gene prioritization via hybrid distance-score rank aggregation, Bioinformatics, vol. 31, no. 7, pp. 10341043, Apr. 2015. M. Kim, F. Farnoud, and O. Milenkovic An Axiomatic Approach to Constructing Distances for Rank Comparison and Aggregation, IEEE Trans. Information Theory, vol. 60, no. 10, pp. 64176439, Oct. 2014. F. Farnoud and O. Milenkovic Multipermutation Codes in the Ulam Metric for Nonvolatile Memories, IEEE Journal on Selected Areas in Communications, vol. 32, no. 5, pp. 919932, May 2014. F. Farnoud and O. Milenkovic Google Scholar ResearchGate Courses Taught Inference methods for computational biology Fall 2016 Contact Information Farzad Farnoud Electrical and Computer Engineering, Computer Science Office: Thornton Hall, E-309 P.O. Box 400743 Charlottesville, Virginia 22904 Phone: 434-924-4101 Linkedin My Links Website diff --git a/src/data/compiled_bios/4109.txt b/src/data/compiled_bios/4109.txt new file mode 100644 index 0000000000..6d7a2768f6 --- /dev/null +++ b/src/data/compiled_bios/4109.txt @@ -0,0 +1 @@ +Lu Feng Assistant Professor, Computer ScienceEngineering Systems & Environment Bio B.Eng. in Information Engineering, Beijing University of Posts and Telecommunications, 2007M.Phil. in Computer Speech, Text and Internet Technology, University of Cambridge, 2008D.Phil. in Computer Science, University of Oxford, 2014Post-Doc PRECISE Center, University of Pennsylvania, 2013-2016 "My research helps to design safe and trustworthy cyber-physical systems, including autonomous robots, medical devices, and smart cities." Lu Feng, Assistant Professor Lu Feng is an Assistant Professor at the Department of Computer Science and Department of Systems and Information Engineering at the University of Virginia. She is also a member of the Link Lab - the center of research excellence in Cyber-Physical Systems at UVa. Her research focuses on assuring the safety and trustworthiness of cyber-physical systems (CPS). She develop modeling and analysis methods for CPS, drawing on formal methods, machine learning, optimal control, and human factors. She also work across many different application domains, from medical devices, to autonomous robots, to smart cities. Awards NSF CRII Award 2018 Rising Stars in EECS 2015 James S. McDonnell Foundation Postdoctoral Fellowship 2013 Research Interests Cyber-Physical Systems Autonomous Robots Formal Methods Contact Information Lu Feng Computer Science, Engineering Systems & Environment Office: Olsson Hall, Room 271 PO Box 400336 Charlottesville, Virginia 22904 Phone: 434-982-2388 lu.feng@virginia.edu My Links Webpage LinkLab Google Scholar diff --git a/src/data/compiled_bios/411.txt b/src/data/compiled_bios/411.txt new file mode 100644 index 0000000000..3f75d3e632 --- /dev/null +++ b/src/data/compiled_bios/411.txt @@ -0,0 +1 @@ +Name: Wu, Weili:: Position: Professor (CS & CE):: Degrees: Ph.D., Computer Science and Engineering, University of Minnesota, 2002; M.S., Computer Science and Engineering, University of Minnesota, 1997; Research Interests: Big Data Management and Analysis; Social Networks; Database Systems; Wireless Sensor Networks; Data Mining; Spatial Data Mining; Parallel and Distributed Systems; Algorithm Design and Analysis; Bioinformatics; RepresentativePublications: Weili Wu,Hongwei Du,Huijuan Wang,Lidong Wu,Zhenhua Duan,Cong Tian: On General Threshold and General Cascade Models of Social Influence. Comb. Optim. 35(1): 209-215 (2018); Yiwei Jiang,Yuqing Zhu, Weili Wu,Deying Li: Makespan Minimization for MapReduce Systems with Different Servers.Future Generation Comp. Syst. 67: 13-21 (2017); Zaixin Lu, Weili Wu,Wei Wayne Li: Target Coverage Maximisation for Directional Sensor Networks.IJSNet 24(4): 253-263 (2017); Yuqing Zhu,Deying Li,Ruidong Yan, Weili Wu,Yuanjun Bi: Maximizing the Influence and Profit in Social Networks.IEEE Trans. Comput. Social Systems 4(3): 54-64 (2017); Donghyun Kim,Wei Wang,Junggab Son, Weili Wu,Wonjun Lee,Alade O. Tokuta: Maximum Lifetime Combined Barrier-Coverage of Weak Static Sensors and Strong Mobile Sensors.IEEE Trans. Mob. Comput. 16(7): 1956-1966 (2017); Jing Yuan, Weili Wu,Yi Li,Ding-Zhu Du: Active Friending in Online Social Networks.BDCAT 2017: 139-148; Guangmo Amo Tong, Weili Wu,Ling Guo,Deying Li,Cong Liu,Bin Liu,Ding-Zhu Du: An Efficient Randomized Algorithm for Rumor Blocking in Online Social Networks.INFOCOM 2017: 1-9; Shufang Zhao,Yichao He,Xinlu Zhang,Wen Xu, Weili Wu,Suogang Gao: Group Testing with Multiple Inhibitor Sets and Error-Tolerant and Its Decoding Algorithms.Journal of Computational Biology 23(10): 821-829 (2016); Zaixin Lu,Wei Wayne Li,Yawei Pang,Miao Pan, Weili Wu,Zhu Han: Collaborative Data and Energy Transmission for Energy-Rechargeable Mobile Devices.IEEE Trans. Wireless Communications 15(12): 8525-8536 (2016); Weili Wu,Lianguang Liu,Chunming Liu: Voltage Stability in a Long-Distance Power Transmission System Impacted by the Geoelectric Field due to a Geomagnetic Disturbance.Earth Science Informatics 7(3): 173-185 (2014).; Kai Xing, Weili Wu,Ling Ding,Lidong Wu,James Willson: An Efficient Routing Protocol Based on Consecutive Forwarding Prediction in Delay Tolerant Networks.IJSNet 15(2): 73-82 (2014).; Weidong Chen,Zaixin Lu,Weili Wu: Dominating Problems in Swapped Networks.Sci. 269: 286-299 (2014).; Huijuan Wang,Lidong Wu,Weili Wu,Jianliang Wu: Minimum Number of Disjoint Linear Forests Covering a Planar Graph. Comb. Optim. 28(1): 274-287 (2014).; Jiao Zhou,Zhao Zhang,Weili Wu,Kai Xing: A Greedy Algorithm for the Fault-Tolerant Connected Dominating Set in a General Graph.Comb. Optim. 28(1): 310-319 (2014).; Zhao Zhang, Weili Wu,Shashi Shekhar: Optimal Placements of Replicas in a Ring Network with Majority Voting Protocol. Parallel Distrib. Comput. 69(5): 461-469 (2009); ; ; diff --git a/src/data/compiled_bios/4110.txt b/src/data/compiled_bios/4110.txt new file mode 100644 index 0000000000..83bd863b46 --- /dev/null +++ b/src/data/compiled_bios/4110.txt @@ -0,0 +1 @@ +Tom Fletcher Associate ProfessorElectrical and Computer Engineering, Computer Science Bio PhD, University of North Carolina, Chapel Hill, 2004 Tom Fletcher is an Associate Professor in the Department of Electrical and Computer Engineering as well as the Department of Computer Science. He received his B.A. degree in Mathematics at the University of Virginia in 1999. He received an M.S. in Computer Science in 2002 followed by a Ph.D. in Computer Science in 2004 from the University of North Carolina at Chapel Hill. His research has been recognized with six best paper awards in the top image analysis and computer vision conferences (MICCAI, IPMI, ISBI, ICCV) and journals (MedIA, Signal Processing). Contact Information Tom Fletcher Electrical and Computer Engineering, Computer Science Rice Hall, Room 306 85 Engineer's Way Charlottesville, Virginia 22904 ptf8v@virginia.edu diff --git a/src/data/compiled_bios/4111.txt b/src/data/compiled_bios/4111.txt new file mode 100644 index 0000000000..08c605b07b --- /dev/null +++ b/src/data/compiled_bios/4111.txt @@ -0,0 +1 @@ +Mark Richard Floryan Assistant Professor, Computer Science Bio B.S. University of Virginia, 2008M.S. University of Massachusetts, 2010Ph.D. University of Massachusetts, 2013 "I study the ways in which artificial intelligence, games, and other sub-areas of computing can improve education for all." Mark Richard Floryan, Lecturer I focus on computer science education and the ways in which computing can improve education more generally. I teach core computer science courses (e.g., Data Structures, Algorithms) as well as electives related to my field (e.g., Game Design, Artificial Intelligence, HCI). As a researcher, I strive to get undergraduate students involved in research activities and to continue to investigate the ways in which games, artificial intelligence, and human centered design can create more personalized educational experiences for all. Awards ACM Professor of the Year, UVa 2013-2014 Best Paper Award Nomination; ASEE Zone 1 Conference 2014 Best Poster Award; 16th International Conference on Artificial Intelligence in Education 2013 Research Interests Algorithms Machine Learning Selected Publications A Gamification Model for Internet Interventions. Journal of Medical Internet Research (2017). (In Preparation) Mark Floryan, Lee Ritterband. Design Frameworks for Experiential Educational Games. International Journal of Serious Games (2017). (In Editing) Nicholas Lytle*, Mark Floryan, David Amin*. Efficiency vs. Immersion: Design Trade-offs for an Exploratory Learning Environment. ITS Workshop on Exploratory Learning Environments. Zagreb, Croatia (2016). Toby Dragon, Mark Floryan, Grayson Wilkins*, Thomas Sparks*. Achievement Unlocked: Investigating Which Gamification Elements Motivate Students. 123rd Annual ASEE Conference and Exposition. New Orleans, LA (2015). Mark Sherriff, Mark Floryan, David Wert*. A Design Framework for Experiential Educational Games. Proceedings of the Games and Learning Alliance (GALA) Conference. Rome, Italy (2015). Nicholas Lytle*, Mark Floryan. Who Needs Help? Automating Student Assessment within Exploratory Learning Environments. Proceedings of the 17th International Conference on Artificial Intelligence in Education. Madrid, Spain (2015). Mark Floryan, Toby Dragon, Nada Basit, Suellen Dragon, Beverly Park Woolf. Courses Taught CS 4730: Computer Game Design CS 4710: Artificial Intelligence CS 4102: Algorithms CS 3205: HCI in Software Development CS 2190: Computer Science Seminar CS 2150: Program and Data Representation CS 2501: Introduction to Game Design CS 1501: Neural Networks in Application *Student Taught Class CS 1501: Cracking the Coding Interview *Student Taught Class Contact Information Mark Richard Floryan Computer Science Office: Rice Hall 203 P.O. BOX 400740 Charlottesville, Virginia 22904 Phone: 434-243-3087 mfloryan@cs.virginia.edu Research Summary My Links Website Game Design Research Group diff --git a/src/data/compiled_bios/4112.txt b/src/data/compiled_bios/4112.txt new file mode 100644 index 0000000000..79cbfe5855 --- /dev/null +++ b/src/data/compiled_bios/4112.txt @@ -0,0 +1 @@ +Jonathan L. Goodall Associate Professor, Civil EngineeringAssociate Professor, Computer Science, by courtesyAssociate Director, Link Lab Bio B.S. University of Virginia, 2001M.S. University of Texas at Austin, 2003Ph.D. University of Texas at Austin, 2005 Jonathan Goodall is an Associate Professor of Civil Engineering in the Department of Engineering Systems and Environment at the University of Virginia. He also holds a courtesy appointment in the Department of Computer Science. His teaching and research interests are in hydrology, water resources engineering, and hydroinformatics. His primary research focus in on creating new approaches for modeling hydrologic systems for sustainable water management and increased resilience to floods and droughts. Professor Goodall is the recipient of the National Science Foundation (NSF) CAREER award and the International Society for Environmental Modelling & Software (iEMSs) Early Career Research Excellence award. He currently serves as an Associate Editor for Water Resources Research, Environmental Modelling & Software, and the ASCE Journal of Computing in Civil Engineering. He is the Associate Director of the interdisciplinary Link Lab, leads the Hydroinformatics Research Group, is a member of the Environmental Resilience Institute steering committee, and is an affiliated faculty member of the Center for Transportation Studies. Prior to joining UVA in the fall of 2013, he held faculty positions at the University of South Carolina-Columbia and Duke University. Awards Elected Fellow, American Society of Civil Engineering 2018 Early Career Research Excellence Award, International Environmental Modelling & Software Society (iEMSs) 2012 CAREER Award, National Science Foundation 2009 Research Interests Water Resources Hydroinformatics Stormwater Flooding Smart Cities Selected Publications Design of a metadata framework for environmental models with an example hydrologic application in HydroShare, Environmental Modelling & Software, 93, pp.13-28, doi:10.1016/j.envsoft.2017.02.028 Morsy, M.M., J.L. Goodall, A.M. Castronova, P. Dash, V. Merwade, J.M. Sadler, M.A. Rajib, J.S. Horsburgh, D.G. Tarboton (2017) Effect of Rain Gauge Proximity on Rainfall Estimation for Problematic Urban Coastal Watersheds in Virginia Beach, Virginia, Journal of Hydrologic Engineering, 22(9), doi:10.1061/(ASCE)HE.1943-5584.0001563 Sadler, J.M., J.L. Goodall, M.M. Morsy (2017) Toward the Geoscience Paper of the Future: Best practices for documenting and sharing research from data to software to provenance, Earth and Space Science, 3, 388415, doi:10.1002/2015EA000136. Gil, Y., C.H. David, I. Demir, B. T. Essawy, R. W. Fulweiler, J. L. Goodall, L. Karlstrom, H. Lee, H. J. Mills, J .H. Oh, and S. A. Pierce (2016) Hydroshare: Sharing Diverse Environmental Data Types and Models as Social Objects with Application to the Hydrology Domain, Journal of the American Water Resources Association, 52(4), 873-889. doi:10.1111/1752-1688.12363 Horsburgh, J. S., M. M. Morsy, A. M. Castronova, J. L. Goodall, T. Gan, H. Yi, M. J. Stealey, D. G. Tarboton (2016) Simulation of integrated urban infrastructure systems: A service-oriented approach. Journal of Computing in Civil Engineering, 29(5). doi:10.1061/(ASCE)CP.1943-5487.0000364 Goodall, J.L., A. M. Castronova, N. N. Huynh, and J. M. Caicedo, R. Hall (2015) A methodology for evaluating evapotranspiration estimates at the watershed-scale using GRACE, Journal of Hydrology, 574-586. doi:10.1016/j.jhydrol.2015.01.066523 Billah, M.M., J. L. Goodall, U. Narayan, J. T. Reager, V. Lakshmi, J. S. Famiglietti (2015) Google Scholar ResearchGate Courses Taught CE 6230 Hydrology CE 3220 Water Resources Engineering Contact Information Jonathan L. Goodall Engineering Systems and Environment, Computer Science (by courtsey) Office: 283, Olsson Hall Lab: Link Lab (2nd floor of Olsson Hall) 151 Engineers Way Charlottesville, Virginia 22904 Phone: 434-243-5019 goodall@virginia.edu Linkedin Research Summary My Links Link Lab Hydroinformatics Group Center for Transportation Studies diff --git a/src/data/compiled_bios/4113.txt b/src/data/compiled_bios/4113.txt new file mode 100644 index 0000000000..47156f3723 --- /dev/null +++ b/src/data/compiled_bios/4113.txt @@ -0,0 +1 @@ +Daniel G. Graham Assistant ProfessorComputer Science Bio Ph.D The College of William & Mary 2016M.Eng The University of Virginia 2011B.S The University of Virginia 2010 "Learn Grow Repeat" Research Interests Internet of Things Embedded Systems Wireless Sensor Networks Selected Publications "Prototyping wearables: A code-first approach to the design of embedded systems," IEEE Internet of Things Journal 2016 ABS D Graham, G Zhou "A Smartphone Compatible SONAR Ranging Attachment for 2-D Mapping," IEEE Internet of Things Journal 2015 ABS D Graham, G Zhou, E Novak, J Buffkin "A Software Based Sonar Ranging Sensor for Smart Phones," IEEE Internet of Things Journal 2015 ABS D Graham, G Simmons, D Nguyen, G Zhou Google Scholar Courses Taught CS 3330 Computer Architecture CS 4457 Computer Networks CS 4720 - Mobile Application Development CS4102 - Algorithms Contact Information Daniel G. Graham Computer Science Rice 411 Rice Hall Charlottesville, Virginia 22904 Phone: 434-243-3391 Fax: 434-982-2214 dgg6b@virginia.edu My Links Website diff --git a/src/data/compiled_bios/4114.txt b/src/data/compiled_bios/4114.txt new file mode 100644 index 0000000000..635580dc34 --- /dev/null +++ b/src/data/compiled_bios/4114.txt @@ -0,0 +1 @@ +Andrew Grimshaw Professor, Computer Science Bio B.S. UCSD, 1981M.S. University of Illinois, 1986Ph.D. University of Illinois, 1988 "Nothing is real, everything is virtual." Andrew Grimshaw is the chief designer and architect of Mentat and Legion. In 1999 he co-founded Avaki Corporation, and served as its Chairman and Chief Technical Officer, until 2005 when Avaki was acquired by Sybase. In 2003 he won the Frost and Sullivan Technology Innovation Award. Andrew is a member of the Global Grid Forum (GGR) Steering Committee and the Architecture Area Director in the GGF. He has served on the National Partnership for Advanced Computational Infrastructure (NPACI) Executive Committee, the DoD MSRC Programming Environments and Training (PET) Executive Committee, the CESDIS Science Council, the NRC Review Panel for Information Technology, and the Board on Assessment of NIST Programs. He is the author or co-author of over 50 publications and book chapters. Research Interests Cybersecurity Systems Integration Computer Architecture Grid/Cloud/High-performance Computing Programming Languages and Compilers Contact Information Andrew Grimshaw Computer Science Office: Rice 502 Phone: 434-982-2204 grimshaw@virginia.edu My Links Website Genesis II diff --git a/src/data/compiled_bios/4115.txt b/src/data/compiled_bios/4115.txt new file mode 100644 index 0000000000..adacf0d55e --- /dev/null +++ b/src/data/compiled_bios/4115.txt @@ -0,0 +1 @@ +Quanquan Gu Assistant Professor, Computer Science (by Courtesy) Bio B.S. Tsinghua University, 2007M.S. Tsinghua University, 2010Ph.D. University of Illinois at Urbana-Champaign, 2014Post-Doc Princeton University, 2015 "It is never too late to be what you might have been." George Eliot Quanquan Gu was an Assistant Professor in the Department of Computer Science at the University of Virginia and now holds a courtesy appointment. Prior to joining the University of Virginia, Dr. Gu was a Postdoctoral Research Associate in the Department of Operations Research and Financial Engineering at Princeton University. He received IBM Ph.D. Fellowship in 2013 when he was pursuing his Ph.D. degree in the Department of Computer Science, University of Illinois at Urbana-Champaign. His current research focuses on Machine Learning, High-dimensional Statistical Inference, Data Mining and Optimization. Awards NSF CAREER Award 2017 Yahoo! Academic Career Enhancement Award 2015 Research Interests Machine Learning Data Mining Optimization High-dimensional Statistics Selected Publications On the Statistical Limits of Convex Relaxations: A Case Study. In Proc. of the 33th International Conference on Machine Learning (ICML), New York, USA. 2016. Zhaoran Wang and Quanquan Gu and Han Liu. Towards Faster Rates and Oracle Property for Low-Rank Matrix Estimation. In Proc. of the 33th International Conference on Machine Learning (ICML), New York, USA. 2016. Huan Gui and Jiawei Han and Quanquan Gu Semiparametric Differential Graph Models, In Proc. of Advances in Neural Information Processing Systems (NIPS) 29, Barcelona, Spain. 2016. Pan Xu and Quanquan Gu. Accelerated Stochastic Block Coordinate Descent with Optimal Sampling, in Proc of the 22nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), San Francisco, CA, USA. 2016. Aston Zhang and Quanquan Gu. Towards a Lower Sample Complexity for Robust One-bit Compressed Sensing. In Proc. of the 32nd International Conference on Machine Learning (ICML'15), Lille, France. 2015. Rongda Zhu and Quanquan Gu. High Dimensional Expectation-Maximization Algorithm: Statistical Optimization and Asymptotic Normality. In Proc. of Advances in Neural Information Processing Systems (NIPS) 28, Montreal, Quebec, Canada, 2015. Zhaoran Wang, Quanquan Gu, Yang Ning, and Han Liu. Sparse PCA with Oracle Property. in Proc. of Advances in Neural Information Processing Systems (NIPS14) 27, Montreal, Quebec, Canada. 2014. Quanquan Gu, Zhaoran Wang, Han Liu. Robust Tensor Decomposition with Gross Corruption. in Proc. of Advances in Neural Information Processing Systems (NIPS14) 27, Montreal, Quebec, Canada. 2014. Quanquan Gu, Huan Gui, Jiawei Han. Selective Sampling on Graphs for Classification. in Proc. of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD13), Chicago, USA, pp.131-139. 2013. Quanquan Gu, Charu Aggarwal, Jialu Liu, Jiawei Han. Selective Labeling via Error Bound Minimization. in Proc. of Advances in Neural Information Processing Systems (NIPS12) 25, Lake Tahoe, Nevada, United States, pp.332-340. 2012. Quanquan Gu, Tong Zhang, Chris Ding, Jiawei Han. Uncertainty Assessment and False Discovery Rate Control in High-Dimensional Granger Causal Inference, in Proc. of the 34th International Conference on Machine Learning (ICML), Sydney, Australia, 2017. Aditya Chaudhry, Pan Xu and Quanquan Gu. Variance-Reduced Stochastic Gradient High-dimensional Expectation-Maximization Algorithm, in Proc. of the 34th International Conference on Machine Learning (ICML), Sydney, Australia, 2017. Rongda Zhu, Lingxiao Wang, Chengxiang Zhai, Quanquan Gu. A Unified Variance Reduction-Based Framework for Nonconvex Low-Rank Matrix Recovery, in Proc. of the 34th International Conference on Machine Learning (ICML), Sydney, Australia, 2017. Lingxiao Wang* and Xiao Zhang* and Quanquan Gu, Robust Gaussian Graphical Model Estimation with Arbitrary Corruption, in Proc. of the 34th International Conference on Machine Learning (ICML), Sydney, Australia, 2017. Lingxiao Wang, Quanquan Gu. Fast Newton Hard Thresholding Pursuit for Sparsity Constrained Nonconvex Optimization, in Proc of the 23rd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Halifax, Nova Scotia, Canada, 2017. Jinghui Chen and Quanquan Gu. Google Scholar Courses Taught SYS 6016/4582 Machine Learning Spring 2017 CS6501/SYS 6003 Optimization for Machine Learning Fall 2015, 2016, 2017 SYS 3060 Introduction to Reinforcement Learning Spring 2016 Contact Information Quanquan Gu Computer Science qg5w@virginia.edu My Links Homepage Research Lab diff --git a/src/data/compiled_bios/4116.txt b/src/data/compiled_bios/4116.txt new file mode 100644 index 0000000000..c01acf2954 --- /dev/null +++ b/src/data/compiled_bios/4116.txt @@ -0,0 +1 @@ +Thomas B. Horton Associate ProfessorAssociate Department Chair Bio B.S. University of Tennessee, 1982Ph.D. University of Edinburgh, 1987 "I joined UVa's School of Engineering and Applied Science because the Computer Science department was a leader in undergraduate education while maintaining strong research programs." Tom Horton, Associate Professor After growing up in Tennessee and completing my PhD in Scotland, I taught for 13 years at Florida Atlantic University. I joined UVa in January 2001, where I have taught courses in programming, algorithms, software engineering, HCI, and other topics. I have a strong interest in computer science education, as well as an interest in digital humanities, particularly the study of language patterns in literary texts. I have a strong commitment to leadership and service in our department, school and university. Awards Department Service Award, Dept. of Computer Science, University of Virginia. 2004-2005 Award for Excellence and Innovation in Undergraduate Teaching, Engineering College, Florida Atlantic University 1998 Award for Excellence in Undergraduate Teaching, Engineering College, Florida Atlantic University 1991 Marshall Scholarship, Full scholarship for two years' graduate study in Britain 1982 Torchbearer Award, University of Tennessee. For outstanding academic achievement and university service. The highest honor awarded to UT students. 1982 Research Interests Computing Education Digital Humanities Software Engineering Selected Publications Using LEGO MINDSTORMS NXT and LEJOS in an advanced software engineering course. IEEE, 121-128. 2010/3/9 Michael W Lew, Thomas B Horton, Mark S Sherriff Google Scholar Courses Taught CS3240 Advanced Software Development CS3205 HCI in Software Development CS1113 - Introduction to Programming with Focus on Engineering Problem Solving CS2190 Computer Science Seminar CS4102 Algorithms CS2110 Software Development Methods CS4240 Principles of Software Design CS4753 Electronic Commerce CS2102 Discrete Math CS2150 Program and Data Representation CS1110 Introduction to Computer Science CS1010 Introduction to Information Technology Contact Information Thomas B. Horton Computer Science Office: Rice Hall, Room 402 P.O. Box 400740 Charlottesville, Virginia 22904 Phone: 434 982-2217 Fax: Fax: 434 982-2214 horton@virginia.edu My Links BA in Computer Science degree program diff --git a/src/data/compiled_bios/4117.txt b/src/data/compiled_bios/4117.txt new file mode 100644 index 0000000000..a689ae79a0 --- /dev/null +++ b/src/data/compiled_bios/4117.txt @@ -0,0 +1 @@ +John R. Hott Assistant ProfessorComputer Science Bio Ph.D. Computer Science, University of Virginia, 2018M.S. Computer Science, The College of William and Mary, 2007B.S. Computer Science and Mathematics, The College of William and Mary, 2005 Awards Raven Fellowship 2015 Research Interests Evolving Networks Social Network Analysis Data Visualization CS in Humanities CS Education Selected Publications "Visualization of Complex Familial and Social Structures." Electronic Imaging, Burlingame, CA, 2018 Hott, J. R., Martin, W. N., and Flake, K. "Visualizing Dynamics of Complex Familial Structures (Poster)." IEEE Information Visualization, Baltimore, MD, 2016 Hott, J. R., Martin, W. N., and Flake, K. "Identity Lenses in Analyzing Evolving Social Structures." Digital Humanities, Krakow, Poland, 2016 Hott, J. R., Martin, W. N., and Flake, K. "Visualizing and Analyzing Identity Classes in Evolving Social Structures." Chicago Colloquium on Digital Humanities and Computer Science, University of Chicago. Chicago, IL, 2015 Hott, J. R., Martin, W. N., and Flake, K. Google Scholar Courses Taught CS4102 Algorithms Fall 2018 CS2110 Software Development Methods Fall 2018, Spring 2013 Contact Information John R. Hott Computer Science Rice 210 PO Box 400740 Charlottesville, Virginia 22904 Phone: 434-243-3795 Fax: 434-982-2214 jh2jf@virginia.edu My Links Homepage diff --git a/src/data/compiled_bios/4118.txt b/src/data/compiled_bios/4118.txt new file mode 100644 index 0000000000..eb2d918052 --- /dev/null +++ b/src/data/compiled_bios/4118.txt @@ -0,0 +1 @@ +Marty Humphrey Associate Professor, Computer Science Bio B.S. Clarkson University, 1986M.S. Clarkson University, 1988Ph.D. University of Massachusetts Amherst, 1996 "My research provides new ways to utilize public Cloud Computing to perform scientific experimentation." Marty Humphrey, Associate Professor Marty Humphrey is an Associate Professor in the Department of Computer Science at the University of Virginia. He received a B.S. and M.S. degree in Electrical Engineering from Clarkson University in 1986 and 1989, respectively. He received his Ph.D. degree in Computer Science from the University of Massachusetts in 1996. From 1996-1998, Marty was an Assistant Professor of Computer Science and Engineering at the University of Colorado at Denver. From 1998-2002, he was a Research Assistant Professor at UVA. He has co-authored over 75 publications and has been a principal investigator on a number of projects funded through government agencies (such as the National Science Foundation and the Department of Energy) and private sector (such as Sun Microsystems and Microsoft Corporation). Research Interests Cloud Computing Selected Publications Auto-scaling to minimize cost and meet application deadlines in cloud workflows. IEEE, 1-12. 2011/11/12. ABS Ming Mao, Marty Humphrey A performance study on the vm startup time in the cloud. IEEE, 423-430. 2012/6/24 ABS Ming Mao, Marty Humphrey The MyProxy online credential repository. Software: Practice and Experience, Volume 35, 801-816. 2005/7/25. ABS Jim Basney, Marty Humphrey, Von Welch Cloud auto-scaling with deadline and budget constraints. IEEE, 41-48. 2010/10/25. ABS David C Chu, Marty Humphrey Mobile ogsi. net: Grid computing on mobile devices. IEEE Computer Society, 182-191. 2004/11/8. ABS David C Chu, Marty Humphrey Google Scholar Courses Taught CS6501 Cloud Computing (Fall 2017) Course Catalog Contact Information Marty Humphrey Office: Rice 307 P.O. Box 400740 Charlottesville, Virginia 22904 Phone: 434-982-2258 humphrey@cs.virginia.edu Research Summary My Links Website diff --git a/src/data/compiled_bios/4119.txt b/src/data/compiled_bios/4119.txt new file mode 100644 index 0000000000..ea6f32dd7c --- /dev/null +++ b/src/data/compiled_bios/4119.txt @@ -0,0 +1 @@ +Ahmed Ibrahim Assistant Professor, Computer Science Bio B.S. October 6 University, 2004M.S. University of Kentucky, 2014Ph.D. University of Kentucky, 2016 "UVA is a unique learning environment which sharpens teaching and research skills. I am continuously impressed by the number of great minds working together on great ideas in SEAS which demonstrates that it is the right place to grow as a teacher, researcher, and colleague." Ahmed Ibrahim Ahmed Ibrahim received his PhD in Computer Science from the University of Kentucky in 2016. He also holds two M.Sc. degrees in Computer Science, one from the University of Kentucky in 2014 and one from Egypt in 2009. Due to Ahmeds enthusiasm in teaching and his joy in seeing people learn, he joined the Preparing Future Faculty (PFF) program at the University of Kentucky and earned a Certificate in College Teaching and Learning in 2014. Research Interests Cybersecurity Internet of Things Computer Networks Cybersecurity Education Selected Publications "A Secure Framework For Medical Information Exchange (MI-X) Between Healthcare Providers," 2016 IEEE Fourth International Conference on Healthcare Informatics (ICHI), October 2016. ABS A. Ibrahim, B. Mahmood, and M. Singhal "A Simultaneous Key Generation Technique for Health Information Exchange (HIE) Based on Existing Patients' Credentials," 2016 IEEE First International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE), June 2016. ABS A. Ibrahim and M. Singhal "A Secure Framework for Sharing Electronic Health Records over Clouds," 2016 IEEE Fourth International Conference on Serious Games and Applications for Health (SeGAH), May 2016. A. Ibrahim, B. Mahmood, and M. Singhal. "An abstract architecture design for medical information exchange," 2016 International Conference on Industrial Informatics and Computer Systems (CIICS), Sharjah, 2016, pp. 1-6. doi: 10.1109/ICCSII.2016.7462427. A. Ibrahim and M. Singhal Courses Taught CS 1110 - Introduction to Programming CS 1113 - Introduction to Programming CS 4760 - Network Security CS 4970 - Capstone Practicum I CS 4971 - Capstone Practicum II Contact Information Ahmed Ibrahim Computer Science Office: Rice Hall, 207 P.O. Box 400740 Charlottesville, Virginia 22904 Phone: 434-924-8284 a.i@virginia.edu diff --git a/src/data/compiled_bios/412.txt b/src/data/compiled_bios/412.txt new file mode 100644 index 0000000000..60d2dbdbe5 --- /dev/null +++ b/src/data/compiled_bios/412.txt @@ -0,0 +1 @@ +Name: Yang, Wei:: Position: Assistant Professor:: Degrees: Ph.D., Computer Science, University of Illinois, Urbana-Champaign; M.S., Computer Science, North Carolina State University, Raleigh,North Carolina; B.S., Software Engineering, Shanghai Jiao Tong University, China; Research Interests: Software Engineering; Security; Adversarial Machine Learning; Major Honors and Awards: Qualcomm Innovation Fellow, 2016; Illinois Cyber Security Scholar, 2015-2017; Representative Publications: SemRegex: A Semantics-Based Approach for Generating Regular Expressions from Natural Language Specifications. In EMNLP, 2018; Property Inference Attacks on Deep Neural Networks using Permutation Invariant Representations. In CCS, 2018; EnMobile: Entity-based Characterization and Analysis of Mobile Malware. In ICSE, 2018; AppContext: Differentiating Malicious and Benign Mobile App Behaviors Using Context. In ICSE, 2015; WHYPER: Towards Automating Risk Assessment of Mobile Applications. In USENIX Security, 2013; ; Notable Service: Organizing Committee Member, ASE 2017; PC Member, Artifact Evaluation, ISSTA, 2016-2018, OOPSLA 2016, ECOOP, 2015; Student PC Member, IEEE S&P 2016, EuroSys 2016; diff --git a/src/data/compiled_bios/4120.txt b/src/data/compiled_bios/4120.txt new file mode 100644 index 0000000000..274ba42ac2 --- /dev/null +++ b/src/data/compiled_bios/4120.txt @@ -0,0 +1 @@ +Yangfeng Ji Assistant ProfessorComputer Science Bio PhD, Georgia Institute of Technology, 2016 Yangfeng Ji joined the Department of Computer Science at the University of Virginia in 2018. He received his PhD from the Georgia Institute of Technology in 2016. From Aug. 2016 to Jul. 2018, he was a Postdoctoral Researcher in the Paul G. Allen School of Computer Science & Engineering in the University of Washington. Awards NAACL Outstanding Paper Award 2018 Research Interests Natural language processing Machine learning Courses Taught CS 6501-005 Natural Language Processing Fall 2018 CS 8501-001 Advanced Natural Language Processing Spring 2019 Contact Information Yangfeng Ji Computer Science Rice 510 PO Box 400740 Charlottesville, Virginia 22904 Phone: 434-243-3187 Fax: 434-982-2214 yangfeng@virginia.edu My Links Google Scholar Website diff --git a/src/data/compiled_bios/4121.txt b/src/data/compiled_bios/4121.txt new file mode 100644 index 0000000000..378a02b614 --- /dev/null +++ b/src/data/compiled_bios/4121.txt @@ -0,0 +1 @@ +Anita Jones University Professor Emerita Bio Ph.D. in Computer Science from Carnegie-Mellon University, 1973 "Water and fertilize the seeds of research today if you want flowers to bloom in the U.S. economy tomorrow." Areas Of Interest Distributed systems, high performance systems, computer simulation, intrusion detection, survivable information systems, protection and security, and national science and engineering policy Biographical Sketch Anita Jones received her Ph.D. in Computer Science from Carnegie-Mellon University in 1973. She left CMU as an Associate Professor when she co-founded Tartan Laboratories. She was vice-president of Tartan from 1981-87. In 1988 she joined UVa as a Professor and the Chair of the Computer Science Department. From 1993-1997 she served at the U.S. Department of Defense where, as Director of Defense Research and Engineering, she oversaw the department's science and technology program, research laboratories, and DARPA. She received the U.S. Air Force Meritorious Civilian Service Award, a Distinguished Public Service Award, and a tribute in the Congressional Record. She served as Vice Chair of the National Science Board, a member of the Defense Science Board, and Co-Chair of the Virginia Research and Technology Advisory Commission. She serves as a member of the Charles Stark Draper Laboratory Corporation, and the National Research Council Advisory Council for Policy and Global Affairs. She is an ACM Fellow, an IEEE Fellow, the author of over 40 papers and two books. Research Jones' interests focus on the design and construction of programmed systems. She has designed protection mechanisms and built secure systems that make guarantees about how information is used. She has built multi-processor operating systems and experimented with their underlying architectures and applications. By choice, she implements realistic and substantial systems to test design and implementation hypotheses so as to ensure that systems perform functionally and cost-effectively. Her current focus is survivable information systems, and interactive, distributed computer simulation for training, analysis, and entertainment. Awards Philip Hauge Abelson Award 2012 IEEE Founders Award 2007 Augusta Ada Lovelace Award 2004 Computing Research Association Service Award 1997 Air Force Meritorious Civilian Service Award Department of Defense Award for Distinguished Public Service Research Interests Design and construction of programmed systems Multi-processor operating systems Survivable information systems, and interactive, distributed computer simulation for training, analysis, and entertainment. Selected Publications Foundations of Secure Computation, Academic Press, 1978 Richard De Millo, Richard J. Lipton, Anita Jones and David Dobkin Communications of the ACM, Vol. 21, No. 5, May 1978, pp. 358-367. Barbara Liskov and Anita Jones Contact Information Anita Jones Computer Science Rice Hall P.O. Box 400740 Charlottesville, Virginia 22904 Phone: 434.982.2200 Jones@virginia.edu diff --git a/src/data/compiled_bios/4122.txt b/src/data/compiled_bios/4122.txt new file mode 100644 index 0000000000..086ef554af --- /dev/null +++ b/src/data/compiled_bios/4122.txt @@ -0,0 +1 @@ +Samira Khan Assistant Professor, Computer Science Bio B.S. Bangladesh University of Engineering and Technology (BUET)Ph.D. University of Texas at San Antonio (UTSA), 2012Post-Doc Carnegie Mellon University, 2015 "We live in a society where data-centric computation is disrupting all aspects of our lives. With the rising volumes of data, our systems must be able to store, analyze, and transform massive amount of data for useful computation." Samira Khan, Assistant Professor I am an Assistant Professor in the Computer Science Department at University of Virginia (UVA), where I lead the research group ShiftLab . Before joining UVA, I was a post doctoral researcher at Carnegie Mellon University, funded by Intel Labs and NSF GOALI award. I have received my Ph.D. from the University of Texas at San Antonio. Awards NSF CRII Award NSF GOALI Award Best Paper Nomination, 20th International Symposium on High Performance Computer Architecture (HPCA) 2014 Rising Stars in EECS, UC Berkeley 2014 Research Interests Computer Architecture Grid/Cloud/High-performance Computing Programming Languages and Compilers Selected Publications Design-Induced Latency Variation in Modern DRAM Chips: Characterization, Analysis, and Latency Reduction Mechanisms. International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS). Champaign-Urbana, Illinois, USA, June 2017. Donghyuk Lee, Samira Khan, Lavanya Subramanian, Saugata Ghose, Rachata Ausavarungnirun, Gennady Pekhimenko, Vivek Seshadri, and Onur Mutlu SoftMC: A Flexible and Practical Open-Source Infrastructure for Enabling Experimental DRAM Studies. 23rd International Symposium on High-Performance Computer Architecture (HPCA). Austin, TX, USA, February 2017. Hasan Hassan, Nandita Vijaykumar, Samira Khan, , Saugata Ghose, Kevin Chang, Gennady Pekhimenko, Donghyuk Lee, Oguz Ergin, and Onur Mutlu The Efficacy of Error Mitigation Techniques for DRAM Retention Failures: A Comparative Experimental Study. ACM International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS). Austin, Texas, June 2014. ABS Samira Khan, Donghyuk Lee, Yoongu Kim, Alaa Alameldeen, Chris Wilkerson, and Onur Mutlu Dual-Scheme Checkpointing: A Software-Transparent Mechanism for Supporting Crash Consistency in Persistent Memory Systems. 20th International Symposium on High Performance Computer Architecture (HPCA). Orlando, Florida, February 2014. Best Paper Session ABS Samira Khan, Alaa Alameldeen, Chris Wilkerson, Onur Mutlu, and Daniel Jimenez Sampling Dead Block Prediction Last-Level Caches. 43rd International Symposium on Microarchitecture (MICRO). Atlanta, Georgia, December 2010 ABS Samira Khan, Yingying Tian, and Daniel A. Jimenez Google Scholar Contact Information Samira Khan Computer Science Office: Rice Hall, Room 308 85 Engineer's Way Charlottesville, Virginia 22903 samirakhan@virginia.edu My Links ShiftLab How To Do Great Research diff --git a/src/data/compiled_bios/4123.txt b/src/data/compiled_bios/4123.txt new file mode 100644 index 0000000000..e89d9a76c6 --- /dev/null +++ b/src/data/compiled_bios/4123.txt @@ -0,0 +1 @@ +Yonghwi Kwon John Knight Assistant ProfessorComputer Science Bio Ph.D. in Computer Science, Purdue University, 2018 My research interests include, but not limited to, software systems security (particularly leveraging compiler-based techniques), cyber forensics (i.e., cyber attack investigation), and software engineering (particularly software testing and reverse-engineering). More details on my website. Awards Maurice H. Halstead Memorial Award 2017 ACM SIGSOFT Distinguished Paper Award 2013 IEEE ASE (Automated Software Engineering) Best Paper Award 2013 Microsoft Most Valuable Professional Award 2008 - 2012 Research Interests Software Security Cyber Forensics (esp. Cyber Attack Investigation) Malware Analysis (esp. Binary Analysis) Software Engineering (esp. Testing/Reverse-Engineering) Selected Publications Probabilistic Disassembly K. A. Miller, Y. Kwon, X. Zhang, and Z. Lin, In Proc. of the 41st International Conference on Software Engineering (ICSE'19) MCI: Modeling-based Causality Inference in Audit Logging for Attack Investigation ABS Y. Kwon, F. Wang, W. Wang, K. H. Lee, W. Lee, S. Ma, X. Zhang, D. Xu, S. Jha, G. Ciocarlie, A. Gehani, and V. Yegneswaran, In Proc. of the 25th Network and Distributed System Security Symposium (NDSS'18) A2C: Self Destructing Exploit Executions via Input Perturbation ABS Y. Kwon, B. Saltaformaggio, I. L. Kim, K. H. Lee, X. Zhang, and D. Xu, In Proc. of the 24th Network and Distributed System Security Symposium (NDSS'17) LDX: Causality Inference by Lightweight Dual Execution ABS Y. Kwon, D. Kim, W. N. Sumner, K. Kim, B. Saltaformaggio, X. Zhang, and D. Xu, In Proc. of the 21st International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS'16) PIEtrace: Platform Independent Executable Trace ABS Y. Kwon, X. Zhang, and D. Xu, In Proc. of the 28th IEEE/ACM International Conference on Automated Software Engineering (ASE'13) Google Scholar Courses Taught Software Security Fall 2018 Contact Information Yonghwi Kwon Computer Science Rice 505 PO Box 400740 Charlottesville, Virginia 22904 Phone: 434-982-2212 Fax: 434-982-2214 yongkwon@virginia.edu My Links Google Scholar Website Sofware Security - Fall 2018 course website diff --git a/src/data/compiled_bios/4124.txt b/src/data/compiled_bios/4124.txt new file mode 100644 index 0000000000..6819482858 --- /dev/null +++ b/src/data/compiled_bios/4124.txt @@ -0,0 +1 @@ +Mohammad Mahmoody Assistant Professor, Computer Science Bio B.S. Sharif University, 2004M.S. Princeton, 2007Ph.D. Princeton, 2010Post-Doc Cornell, 2010-2013 "I study the (unproved) mathematical assumptions behind the security of cryptographic systems. A major goal is to know how much such assumptions could be weakened. " Mohammad Mahmoody, Assistant Professor Mahmoody started his undergraduate studies in Sharif University's computer Engineering department in 2000. He started his PhD in Princeton in 2005 and after that in 2010 joined Cornell as a postdoctoral associate. In 2013 he joined University of Virginia as an assistant professor. In 2014 he received NSF Career Award to work on "Separations in Cryptograhy". Awards NSF CAREER 2014 Wu Prize for Excellence 2009 Research Interests Cryptography Computational Complexity Algorithms Selected Publications Blockwise p-Tampering Attacks on Cryptographic Primitives, Extractors, and Learners. TCC 2017 Saeed Mahloujifar, Mohammad Mahmoody When does Functional Encryption Imply Obfuscation? TCC 2017 Sanjam Garg, Mohammad Mahmoody, Ameer Mohammed Lower Bounds on Obfuscation from All-or-Nothing Encryption Primitives, Crypto 2017 Sanjam Garg, Mohammad Mahmoody, Ameer Mohammed On the Power of Hierarchical Identity-Based Encryption. Eurocrypt, 2016. Mohammad Mahmoody, Ameer Mohammed. On the Impossibility of Virtual Black-Box Obfuscation in Idealized Models. TCC 2016-A Mohammad Mahmoody, Ameer Mohammed and Soheil Nematihaji. On the Impossibility of Cryptography with Tamperable Randomness. International Cryptography Conference (Crypto) 2014. Invited to Algorithmica Journal. Mohammad Mahmoody, Per Austrin, Kai-Min Chung, Rafael Pass, and Karn Seth. Merkle Puzzles are Optimal. International Cryptography Conference (Crypto) 2009. Invited to Journal of Cryptology. Mohammad Mahmoody, Boaz Barak. Courses Taught Computational Complexity (Undergrad) Spring 2014 Cryptography (Grad) Fall 2014 Topics in Cryptography [Seminar] (Grad and Undergrad) Spring 2015 Algortihms (Grad) Fall 2015 Foundations of Cryptography (Undergrad) Fall 2016 Theory of Computation (Grad) Spring 2017 Discrete Mathematics (Undergrad) Fall 2017 Contact Information Mohammad Mahmoody Computer Science Office: Rice 511 85 Engineer's Way Charlottesville, Virginia 22904 Phone: 434-982-2989 mohammad@virginia.edu Research Summary diff --git a/src/data/compiled_bios/4125.txt b/src/data/compiled_bios/4125.txt new file mode 100644 index 0000000000..6389f72413 --- /dev/null +++ b/src/data/compiled_bios/4125.txt @@ -0,0 +1 @@ +Madhav Marathe Professor, Computer ScienceDivision Director, Network, Simulation Science and Advanced Computing Division, Biocomplexity Institute Bio BTech. Computer Science and Engineering, IIT Chennai, 1989Ph.D. Computer Science, University at Albany-SUNY, 1994 "Our research focus is to understand general principles that govern the design, analysis, control, and optimization of complex networks. We take a team science approach and develop innovative solutions that have societal impact. " Madhav Marathe is a Division Director of the Computing, Simulations and Network Science Division at the Biocomplexity Institute and a Professor of Computer Science. From January 2005-September 2018, he was a Professor of Computer Science at Virginia Tech. Concurrently, at Virginia Tech, he was the Deputy Director (2005-2014) and then the Director (2014-2018) of the Network Dynamics and Simulation Science Laboratory at the Biocomplexity Institute of Virginia Tech. He obtained his Bachelor of Technology degree in 1989 in Computer Science and Engineering from the Indian Institute of Technology, Madras, and his Ph.D. in 1994 in Computer Science from the University at Albany -SUNY, under the supervision of Professors Harry B. Hunt III and Richard E. Stearns. Before coming to Virginia Tech in 2005, he worked in the Basic and Applied Simulation Science group (CCS-5) in the Computer and Computational Sciences division at Los Alamos National Laboratory where he was team leader in a theory-based, advanced simulation program to represent, design, and analyze extremely large socio-technical and critical infrastructure systems. He holds adjunct appointments at the Chalmers University and the Indian Institute of Public Health. He has published more than 300 research articles in peer reviewed journals, conference proceedings, and books, and has over 20 years of experience in project leadership and technology development. He was the 2011 Inaugural George Michael Distinguished Scholar at the Lawrence Livermore National Laboratory. In 2014 he became an Association of Computing Machinery (ACM) Fellow for contributions to high performance computing algorithms and software environments for simulating and analyzing socio-technical network science. Also in 2013, he was named an Institute of Electrical and Electronic Engineers (IEEE) Fellow for contributions to socio-technical network science. In 2014, he was named an AmericanAssociation for Advancement of Science (AAAS) Fellow for contributions to high performance computing algorithms and software environments. In 2018 he was named a Society for Industrial and Applied Mathematics (SIAM) Fellow for contributions to high performance computing algorithms and software systems for network science and public health epidemiology. That same year he was awarded the Virginia Tech College of Engineering Deans Award for Excellence in Research. Awards Fellow, Society for Industrial and Applied Mathematics (SIAM) for contributions to high performance computing algorithms and software systems for network science and public health epidemiology 2018 Deans Award for Excellence in Research, College of Engineering, Virginia Tech 2018 National Energy Research Scientific Computing Center NERSC Award (joint with A Bhatele, J Yeom, N Jain, C Kuhlman, Y Livnat, K Bisset, L Kale) for innovative use of HPC that led to scalable mapping of epidemic simulations on NERSC machines 2017 Constellation Groups Supernova Award presented to NDSSL in the category of Data to Decisions for work by the group on developing high performance computing solutions to support national disaster management 2016 Fellow, American Association for the Advancement of Science (AAAS) for contributions to high performance computing and network science 2015 Fellow, Association for Computing Machinery (ACM) for contribution to high performance computing algorithms and software environments for simulating and analyzing socio-technical systems 2014 Fellow, Institute of Electrical and Electronics Engineers (IEEE) for contributions to socio-technical network science 2013 Inaugural George Michael Distinguished Scholar, Lawrence Livermore National Laboratory 2011-12 Award for Research Excellence, Virginia Bioinformatics Institute, Virginia Tech 2010 Distinguished Alumni Award, University at Albany 2004 Technical Achievement Award, Los Alamos National Laboratory 2004 Distinguished Copyright Award for TRANSIMS Software System 2000 Research Interests Network Science, specifically, Biological, Social, Information, and Communication Networks High-performance computing Artificial Intelligence, specifically, machine learning, multi-agent systems, satisfiability Data Analytics Modeling and Simulation Developing innovative computing technologies for reliable, secure and sustainable socially coupled systems Theoretical Computer Science Computational Epidemiology Computational Social Science Computational Immunology In the News An analytics engine for personalized emergency response. An analytics engine for personalized emergency response. S. Kanowitz, Government Computer News (May 15, 2018) Ever wonder what you should do immediately after a terrorist attack? Analytics can tell you. Read More Waldrop M (2017) News Feature: Special agents offer modeling upgrade Waldrop M (2017) News Feature: Special agents offer modeling upgrade Proceedings of the National Academy of Sciences, 114(28):7176-7179. After playing a key role in the fight against Ebola, agent-based models are poised to help decision-makers tackle other disease outbreaks, economic turbulence, and more. Read More Free Agents: Monumentally complex models are gaming out disaster scenarios with millions of simulated people Free Agents: Monumentally complex models are gaming out disaster scenarios with millions of simulated people M. Mitchell Waldrop, 2018; Science, 360(6385):144-147. At 11:15 on a Monday morning in May, an ordinary looking delivery van rolls into the intersection of 16th and K streets NW in downtown Washington, D.C., just a few blocks north of the White House. Inside, suicide bombers trip a switch. Read More 448: Dr. Madhav Marathe: Using Technology to Investigate the Inner Workings of Large Networks 448: Dr. Madhav Marathe: Using Technology to Investigate the Inner Workings of Large Networks People Behind the Science Podcast, McNeely M (May 7, 2018) Madhav and his team are working to understand how networks are formed, how they grow, how they change, how they can be used to solve problems, and how to make them more resilient. Read More Selected Publications Formal language constrained path problems, SIAM Journal of Computing, 2001, 30(3):809-837. Barrett C, Jacob R, Marathe M Modelling disease outbreaks in realistic urban social networks. Nature, 2004, 429(6988):180-184. Eubank S, Guclu H, Vullikanti A, Marathe M, Srinivasan A, Toroczkai Z, Wang N Complexity of reachability problems for finite discrete dynamical systems. Journal of Computer and Systems Sciences, 2006, 72(8):1317-1345. Barrett C, Hunt III HB, Marathe M, Ravi SS, Rosenkrantz D, Stearns R INDEMICS: An Interactive High-Performance Computing Framework for Data Intensive Epidemic Modeling. ACM Transactions on Modeling and Computer Simulation (TOMACS), 2014, 24(1):4:1-4:32. Bisset K, Chen J, Deodhar S, Feng X, Ma Y, Marathe M Algorithmic aspects of capacity in wireless networks. Proceedings of the 2005 ACM SIGMETRICS International Conference on Measurements and Modeling of Computer Systems, 2005, 33(1):133-144. Vullikanti A, Marathe M, Parthasarathy S, Srinivasan A Google Scholar Contact Information Madhav Marathe Computer Science Rice 526 Biocomplexity Lab - TBD mvm7hz@virginia.edu diff --git a/src/data/compiled_bios/4126.txt b/src/data/compiled_bios/4126.txt new file mode 100644 index 0000000000..dd7485a750 --- /dev/null +++ b/src/data/compiled_bios/4126.txt @@ -0,0 +1 @@ +Worthy Martin Associate Professor of Computer ScienceActing Director, Institute for Advanced Technology in the Humanities Bio B.S. University of Texas-Austin, 1972M.S. University of Texas-Austin, 1976Ph.D. University of Texas-Austin, 1981 "Most recently my work in "digital humanities" has made accessible information: primary sources and interpretative materials on a wide range of topics." Worthy Martin, Associate Professor of Computer Science I began my career in "dynamic scene analysis", a subarea of computer vision and image processing. In the last several years I have been associated with "digital humanities" scholars at UVa and elsewhere in a wide variety of projects in archaeology, literary studies, history, endangered languages, Tibetan studies, architecture, art history, religious studies and media studies. Research Interests Human Machine Interface Computer Graphics and Vision Selected Publications Analyzing Evolving Social Structures, Digital Humanities, Krakow, Poland, July 12-16, 2016. Hott, J.R., W.N. Martin and K. Flake Warp and Weft on the Loom of Lat/Long, chapter in Deep maps and Spatial Narratives, D.J. Bodenhamer, J. Corrigan and T.M. Harris, eds., Indiana University Press, Bloomington, Indiana, 2015, pp. 203-222. W.N. Martin "Visualizing and Analyzing Identity Classes in Evolving Social Structures," Digital Humanities and Computer Science, University of Chicago, November 12-13, 2015. Hott, J., W.N. Martin and K. Flake "Digital Yoknapatawpha: Interpreting a Palimpsest of Place," Digital Humanities, Lausanne, Switzerland, July 7-12, 2014. Dye, D.J., J.B. Napolin, E. Cornell, and W.N. Martin Legacy Data, Digital Archives, and New Directions for Chaco Canyon Archaeology, Society of American Archaeology National Conference, April 2012. Martin, W.N., A. Holeman, C. Heitman, A. Watson, and , S.E. Plog Contact Information Worthy Martin Computer Science, Institute for Advanced Technology in the Humanities Office: Rice Hall, 013 Lab: Alderman 319 P.O. Box 400740 Charlottesville, Virginia 22904 Phone: 434-982-2202 martin@virginia.edu My Links Institute for Advanced Technology in the Humanities Chaco Research Archive Collective Biographies of Women Leonardo da Vinci and his Treatise on Painting Arapesh Grammar and Digital Language Archive Voting Viva Voce Jeffersons University Inhabiting Byzantine Athens Soundscape The World of Dante Uncle Tom's Cabin & American Culture diff --git a/src/data/compiled_bios/4127.txt b/src/data/compiled_bios/4127.txt new file mode 100644 index 0000000000..d2146d2453 --- /dev/null +++ b/src/data/compiled_bios/4127.txt @@ -0,0 +1 @@ +Kristen Naegle Associate Professor of Biomedical Engineering Bio Ph.D. Biological Engineering, MIT, 2010S.M. Biological Engineering, MIT, 2006M.S. Electrical Engineering, University of Washington, 2004B.S. Electrical Engineering, University of Washington, 2001 The Naegle lab seeks to understand the regulation and function of tyrosine phosphorylation in complex networks. Tyrosine phosphorylation is a protein modification that can occur during or after translation of a protein.The phosphate addition to a tyrosine residue, regulated by tyrosine kinases and phosphatases, can result in changes in protein function, regulation and localization. It is key to important cell signaling processes, which are the processes that convert extracellular cues, like growth factors and insulin, into biochemical networks that result in a change to the cell. Tyrosine phosphorylation is specifically utilized in the early events of receptor tyrosine kinase (RTK) networks, which are fundamental to many processes in the development and homeostasis of complex organisms. Improvements in measurement technologies have enabled the ability to detect and monitor tyrosine phosphorylation and now we know that tyrosine phosphorylation is extensive occurring on thousands of tyrosines in the human proteome. Given the sheer size of the challenge, we use both computational and molecular technologies to predict and test the role of tyrosine phosphorylation on proteins and in cellular networks. Although we incorporate new mathematical and computational methods as needed to tackle the fundamental problems of our research, those techniques always have a foundation in statistical robustness. Hypotheses are tested in molecular and cellular systems, closing the loop between computation and experimentation. The questions that drive us include: How do we increase the capabilities of research to gain new understanding of tyrosine phosphorylation rapidly, i.e. in a high-throughput manner that matches the rate of discovery of these modifications? How do we develop new capabilities to understand how these networks act in specific contexts? Cell context refers to the differences we see between tissue types and the states of the network components that lead to differential responses of tissues to the same cue. As a philosophy, we approach network dysregulation that occurs in disease as an alteration in cell context. Courses Taught BME 4063/4064: BME Capstone Design I & II Featured Grants & Projects NIH/NCI Development of Innovative Informatics Methods and Algorithms for Cancer Research and Management (R21) Inferring kinase activity profiles from phosphoproteomic data Phosphorylation can regulate protein function, which is a cornerstone of normal tissue development and home- ostasis. However, kinases, the enzymes that catalyze protein phosphorylation, are often dysregulated in cancer. Recently, advances have been made to measure global phosphorylation within human patient tumor samples. The hope is that this data holds the key to identifying patient-specic targets in cancer therapy. Unfortunately, challenges exist in interpreting phosphorylation data and its reection of the underlying dysregulation of signaling networks. The goal of this project is to develop an algorithm that translates the measurements of phosphorylation in human samples to a prediction of kinase activity proles. The kinase activity proles could then be used to identify new targets and classify tumor types. This goal will be achieved by: the development of graph-based score, based on predicted kinase-substrate relationships, interpretation of that score through statistical frameworks, and testing and improvement of the algorithms on available control and patient data. Read More NIH/NCI Innovative Molecular and Cellular Analysis Technologies for Basic and Clinical Cancer Research (R21) A molecular toolkit for the production of tyrosine phosphorylated proteins yrosine phosphorylation can regulate protein function, and this is a cornerstone of cell signaling networks. Ty- rosine phosphorylation often becomes dysregulated in cancer and therefore, understanding the effect of phos- phorylation on protein function will be paramount to identifying therapeutic interventions in cancer. Unfortunately, an important tool in the basic research of phosphorylation testing the effect of protein phosphorylation by com- paring the function of the phosphorylated form with an unphosphorylated form of the protein in in vitro assays is signicantly hindered by our limited knowledge in how to make a phosphorylated protein. This project seeks to build a molecular technology, inspired by previous observations of biochemistry in cell networks, to overcome this requirement and improve the pace of basic research. The goal of this research is to build a fast, accessible and inexpensive method for producing phosphorylated and soluble proteins in a bacterial system. The goals will be achieved by: development of a molecular toolkit for the enhancement and control of precise phosphorylation on protein substrates using secondary kinase-substrate targeting approaches, testing the toolkit on a set of sub- strates, and comparing the outcome with current technologies. It is anticipated that this technology will be less expensive, more physiologically-relevant, and capable of producing a larger variety of phosphorylated forms of proteins than current molecular approaches to studying the effect of protein phosphorylation. Read More Contact Information Kristen Naegle Biomedical Engineering Twitter diff --git a/src/data/compiled_bios/4128.txt b/src/data/compiled_bios/4128.txt new file mode 100644 index 0000000000..50f1477daf --- /dev/null +++ b/src/data/compiled_bios/4128.txt @@ -0,0 +1 @@ +N. Rich Nguyen Assistant ProfessorComputer Science Bio PhD, UNC Charlotte, 2016 Awards Faculty Innovation Fund Recipient, College of Computing and Informatics, UNC Charlotte 2018 Best Research Talk in Natural Science, 13th Graduate Research Symposium, UNC Charlotte 2013 Research Interests Biological Image Analysis Machine Learning CS Education Innovation Courses Taught Introduction to Machine Learning Computing Professional Seminar Design and Analysis of Algorithms Contact Information N. Rich Nguyen Computer Science Rice 202 PO Box 400740 Charlottesville, Virginia 22904 Phone: 434-982-2253 Fax: 434-982-2214 nn4pj@virginia.edu diff --git a/src/data/compiled_bios/4129.txt b/src/data/compiled_bios/4129.txt new file mode 100644 index 0000000000..ec136e39a6 --- /dev/null +++ b/src/data/compiled_bios/4129.txt @@ -0,0 +1 @@ +Vicente Ordonez-Roman Assistant Professor, Computer Science Bio Ph.D. The University of North Carolina at Chapel Hill, 2015M.S. Stony Brook University (SUNY), 2013Eng. Escuela Superior Politcnica del Litoral, 2008 "Our group builds systems that can describe visual information using natural language and learn to do so efficiently from large amounts of data." Vicente Ordonez-Roman, Assistant Professor Please visit the academic webpage that I actively maintain: http://vicenteordonez.com I'm Assistant Professor in the Department of Computer Science at the University of Virginia. I also spent a year as visiting research fellow at the Allen Institute for Artificial Intelligence (AI2) n the Computer Vision group. My research lies at the intersection of Computer Vision, Natural Language Processing and Machine Learning. I am especially interested in analyzing, and mining useful human insights from enormous amounts of images with associated text. I am also interested in big scale visual analytics by learning models that can perform high-level perceptual tasks for applications in social media, urban computing, and everyday activities. I'm a recipient of the 2013 IEEE Marr Prize in Computer Vision, Best Long Paper Award at EMNLP 2017, and Faculty Awards from Google and IBM Research. Awards Google Faculty Research Award 2017 IBM Faculty Award 2017 EMNLP Best Paper Award 2017 IEEE Marr Prize -- ICCV Best Paper Award 2013 Yahoo Key Scientific Challenges Award 2012 Research Interests Computer Vision Machine Learning Natural Language Processing Selected Publications Feedback-prop: Convolutional Neural Network Inference under Partial Evidence. CVPR 2018. Salt Lake City, Utah. ABS Tianlu Wang, Kota Yamaguchi, Vicente Ordonez. Obj2Text: Generating Visually Descriptive Language from Object Layouts. Conference on Empirical Methods in Natural Language Processing. EMNLP 2017. Copenhagen, Denmark. ABS Xuwang Yin, Vicente Ordonez Men Also Like Shopping: Reducing Gender Bias Amplification using Corpus-level Constraints (Best Long Paper Award). Conference on Empirical Methods in Natural Language Processing. EMNLP 2017. Copenhagen, Denmark. ABS Jieyu Zhao, Tianlu Wang, Mark Yatskar, Vicente Ordonez, Kai-Wei Chang. Commonly Uncommon: Semantic Sparsity in Situation Recognition. Intl. Conference on Computer Vision and Pattern Recognition. CVPR 2017. Honolulu, Hawaii. July 2017. ABS Mark Yatskar, Vicente Ordonez, Luke Zettlemoyer Ali Farhadi. XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks. European Conference on Computer Vision. ECCV 2016. Amsterdam, The Netherlands. October 2016. ABS Mohammad Rastegari, Vicente Ordonez, Joseph Redmon, Ali Farhadi. Learning High-level Judgments of Urban Perception. European Conference on Computer Vision. ECCV 2014. Zurich, Switzerland. September 2014. ABS Vicente Ordonez, Tamara L. Berg. From Large Scale Image Categorization to Entry-Level Categories (Marr Prize, Best Paper Award). IEEE International Conference on Computer Vision. ICCV 2013. Sydney, Australia. December 2013. ABS Vicente Ordonez, Jia Deng, Yejin Choi, Alexander C. Berg, Tamara L. Berg. Contact Information Vicente Ordonez-Roman Computer Science Office: Rice Hall, 310 85 Engineer's Way Charlottesville, Virginia 22904 Phone: 434-924-8273 vicente@virginia.edu My Links Homepage diff --git a/src/data/compiled_bios/413.txt b/src/data/compiled_bios/413.txt new file mode 100644 index 0000000000..9634f28a27 --- /dev/null +++ b/src/data/compiled_bios/413.txt @@ -0,0 +1 @@ +Name: Yen, I-Ling:: Position: Professor(CS, CE, & TE):: Degrees: Ph.D., University of Houston; Research Interests: Cloud Computing; P2P Computing; Service-Oriented Computing; Quality of Service Assurance; High Assurance Systems; Dependable Distributed Systems; diff --git a/src/data/compiled_bios/4130.txt b/src/data/compiled_bios/4130.txt new file mode 100644 index 0000000000..de04f12176 --- /dev/null +++ b/src/data/compiled_bios/4130.txt @@ -0,0 +1 @@ +Ray Pettit Assistant Professor, Computer Science Bio Ph.D. (Computer Science), Texas Tech University, 2015M.S. (Computer Science), Texas Tech University, 2005B.S. (Computer Science), Park University, 1995 Research Interests CS1 Metacognitive awareness Automated assessment tools Contact Information Ray Pettit Computer Science Rice Hall, Rm. 212 85 Engineer's Way Charlottesville, Virginia 22904 Phone: 434.243.3696 My Links Google Scholar diff --git a/src/data/compiled_bios/4131.txt b/src/data/compiled_bios/4131.txt new file mode 100644 index 0000000000..837ce44668 --- /dev/null +++ b/src/data/compiled_bios/4131.txt @@ -0,0 +1 @@ +Tom Pinckney Adjunct Professor, Computer Science Bio B.S. MIT, 1996M.S. MIT, 1997 Tom is currently a Senior Director at eBay, where he oversees work on machine learning driven recommendation, marketing platform automation and advertising systems. Before eBay, Tom co-founded Hunch, a NYC-based recommendation startup that was acquired by eBay in 2011 and SiteAdvisor, a Boston web-security startup that was acquired by McAfee in 2006. Research Interests Medical and Molecular Imaging Software Engineering Courses Taught Internet Scale Applications - CS4501 Special Topics Contact Information Tom Pinckney Computer Science Office: Rice 340 85 Engineers Way Charlottesville, Virginia 22903 Phone: 617-417-1247 tp3ks@virginia.edu Linkedin diff --git a/src/data/compiled_bios/4132.txt b/src/data/compiled_bios/4132.txt new file mode 100644 index 0000000000..287097fbc2 --- /dev/null +++ b/src/data/compiled_bios/4132.txt @@ -0,0 +1 @@ +Upsorn Praphamontripong Assistant Professor, Computer Science Bio B.S. Thammasat University, ThailandM.S. Central Michigan University, MIPh.D. George Mason University, VA Upsorn Praphamontripong received her PhD (Software Engineering) from George Mason University. Her research interests include software engineering, software testing and maintenance, analysis and testing of web applications, usability, software reliability and performance analysis. She is also researching ways to increase capacity and retention in introductory programming courses. Research Interests Software engineering software reliability engineering software testing and maintenance analysis and testing of web applications usability, performance analysis, and ways to increase capacity and retention in introductory programming courses Selected Publications "Finding Redundancy in Web Mutation Operators." 13th Workshop on Mutation Analysis (Mutation 2017), Tokyo, Japan, April 2017. Upsorn Praphamontripong and Jeff Offutt. "A Novel Self-Paced Model for Teaching CS1 and CS2." Learning at Scale, Boston, Massachusetts, April 2017. Jeff Offutt, Paul Ammann, Kinga Dobolyi, Chris Kauffmann, Jaime Lester, Upsorn Praphamontripong, Huzefa Rangwala, Sanjeev Setia, Pearl Wang, and Liz White. Teaching a Creativity-based Skill Through Self-Pacing. Innovations in Teaching and Learning Conference, Fairfax, Virginia, July 2016. Kinga Dobolyi, Paul Ammann, Chris Kauffmann, Jamie Lester, Upsorn Praphamontripong, Huzefa Rangwala, Sanjeev Setia, and Pearl Wang. "An Experimental Evaluation of Web Mutation Operators." 12th Workshop on Mutation Analysis (Mutation 2016), Chicago, Illinois, April 2016. Upsorn Praphamontripong, Jeff Offutt, Lin Deng, and JingJing Gu. "A Case Study on Bypass Testing of Web Applications." Springer's Empirical Software Engineering, 19(1):69-104, 2014. Jeff Offutt, Vasileios Papadimitriou, and Upsorn Praphamontripong. Contact Information Upsorn Praphamontripong Computer Science Office: Rice Hall, Room 206 P.O. Box 400740 Charlottesville, Virginia 22904 Phone: 434-924-8279 upsorn@virginia.edu My Links Website diff --git a/src/data/compiled_bios/4133.txt b/src/data/compiled_bios/4133.txt new file mode 100644 index 0000000000..49c9757bf2 --- /dev/null +++ b/src/data/compiled_bios/4133.txt @@ -0,0 +1 @@ +Yanjun Qi Assistant Professor, Computer Science Bio B.S. Tsinghua University, Beijing, China, 2000M.S. Carnegie Mellon University, Pittsburgh, USA, 2003Ph.D. Carnegie Mellon University, Pittsburgh, USA, 2008 "We aim to develop novel machine-learning techniques on important challenges in biomedicine, especially those dealing with enormous data sets." Yanjun Qi, Assistant Professor Yanjun Qi is an assistant professor of University of Virginia, Department of Computer Science since 2013. She was a senior researcher in the Machine Learning Department at NEC Labs American, Princeton, NJ from July 2008 to August 2013. Her research interests are within machine learning, data mining, and bioinformatics. She obtained her Ph.D. degree from School of Computer Science at Carnegie Mellon University in May 2008 and received her Bachelor degree with high honors from Computer Science Department at Tsinghua University, Beijing. She has served as PCs and reviewers for multiple reknowned international conferences/ journals, and has co-chaired the NIPS Machine Learning for Computational Biology workshop. Dr. Qi has received CAREER award from NSF and a Best Paper Award at International Conference of BodyNet. Awards CAREER award from NSF 2015 Best Paper Award at International Conference of BodyNet 2014 Research Interests Machine Learning Selected Publications "A Fast and Scalable Joint Estimator for Learning Multiple Related Sparse Gaussian Graphical Models", Proceedings of The 20th International Conference on Artificial Intelligence and Statistics (AISTATS) Beilun Wang, Ji Gao, Yanjun Qi, (2017) "DeepChrome: Deep-learning for predicting gene expression from histone modifications", 15th European Conference on Computational Biology , (ECCB-16 ) (Bioinformatics(2016) 32 (17): i639-i648.) ABS Ritambhara Singh, Jack Lanchantin, Yanjun Qi, (2016) "Deep Motif: Visualizing Genomic Sequence Classifications", the International Conference on Learning Representations Jack Lanchantin, Ritambhara Singh, Zeming Lin, Yanjun Qi, (2016) "A Theoretical Framework for Robustness of (Deep) Classifiers Against Adversarial Samples", ABS Beilun Wang, Ji Gao, Yanjun Qi, (2017) Google Scholar Courses Taught Machine Learning (Graduate+ AdvancedSenior level) 2016 Fall Machine Learning (Graduate level) 2015 Fall Special Topic: Large-Scale Machine Learning (PhD Student level) 2015 Spring Featured Grants & Projects NSF IIS-1453580: 2015-2020 CAREER: A Data-Driven Network Inference Framework for Context-Conditioned Protein Interaction Graphs Read More NSF CNS-1619098: 2016-2019 TWC:Small: Automatic Techniques for Evaluating and Hardening Machine Learning Classifiers in the Presence of Adversaries Read More Contact Information Yanjun Qi Computer Science, Affiliated faculty of Center for Public Health Genomics Office: Rice Hall, Room 503 P.O. Box 400740 Charlottesville, Virginia 22904 Phone: 434-243-3089 yanjun@virginia.edu Twitter Research Summary diff --git a/src/data/compiled_bios/4134.txt b/src/data/compiled_bios/4134.txt new file mode 100644 index 0000000000..82d7d1e528 --- /dev/null +++ b/src/data/compiled_bios/4134.txt @@ -0,0 +1 @@ +Baishakhi Ray Assistant Professor, Computer Science (by courtesy) Bio B.S. University of Calcutta, India, 2004M.S. University of Colorado, Boulder, USA, 2009Ph.D. University of Texas at Austin, USA, 2013Post-Doc University of California, Davis, USA, 2013-2015 "I focus on improving software quality and the efficiency of the software development process to ensure a sustainable growth of the software industry." Baishakhi Ray, Assistant Professor Baishakhi Ray was an assistant professor at the University of Virginia and now holds a courtesy appointment. She finished her Ph.D. from the University of Texas at Austin. Her research focuses on Software Engineering, in particular, empirical studies and program analysis. Baishakhi analyzes large-scale software repositories to understand on-going software engineering practices. Then, leveraging this data-driven knowledge, she builds novel program analysis techniques and development tools to improve software quality and programmer productivity. Baishakhi has received Distinguished Paper Awards from ACM SIGSOFT Symposium on the Foundations of Software Engineering (ESEC/FSE 2017), International Conference on Mining Software Repositories, (MSR 2017), and best practical student paper awards from 2014 IEEE symposium on security and privacy (Oakland). Her paper was also nominated for the distinguished paper award at IEEE Automatic Software Engineering Conference (ASE), 2013. Her research is also appeared in the "Research Highlights" (RH) section of the CACM and has been widely covered in trade media. Awards NSF CHS: Small: Translating Compilers for Visual Computing in Dynamic Languages NSF TWC: Small: Collaborative: Automated Detection and Repair of Error Handling Bugs in SSL/TLS Implementations ACM Sigsoft Distinguished Paper Award, MSR 2017. Best Student Paper Award, S&P 2014. Best Paper Award, FSE 2017 Research Interests Detecting & Fixing Bugs Using Code Similarity Testing Machine Learning-Based Systems Natural Language Models for Source Code Analytical Support for Improving Software Reliability Software Engineering Machine Learning, Text Mining, Information Retrieval Selected Publications Automatically Diagnosing and Repairing Error Handling Bugs in C. In Proceedings of the ACM SIGSOFT 25th International Symposium on the Foundations of Software Engineering (FSE 2017) Y. Tian, B. Ray Some From Here, Some From There: Cross-Project Code Reuse in GitHub. In Proceedings of the 14th International Conference on Mining Software Repositories (MSR 2017), distinguished paper award. M. Gharehyazie, B. Ray, V. Filkov. APEx: Automated inference of error specifications for C APIs. In Proceedings of the 31st IEEE/ACM International Conference on Automated Software Engineering (pp. 472-482) (ASE 2016) Kang, Y., Ray, B., and Jana, S. Automatically Detecting Error Handling Bugs using Error Specifications. In USENIX Security Symposium (USENIX Security 2016). 2016, August. Jana, S., Kang, Y., Roth, S., & Ray, B. Assert Use in GitHub Projects. In Proceedings of the International Conference on Software Engineering. IEEE. 2015, pp. 110, (ICSE 2015). C. Casey, D. Prem, O. Abilio, F. Vladimir, and B. Ray. A large scale study of programming languages and code quality in github. In Proceedings of the ACM SIGSOFT 22nd International Symposium on the Foundations of Software Engineering, pp. 155165, (FSE 2014). B. Ray, D. Posnett, V. Filkov, and P. T. Devanbu. Using Frankencerts for Automated Adversarial Testing of Certificate Validation in SSL/TLS Implementations. In: IEEE Symposium on Security and Privacy 2014, pp. 114129 (S&P 2014). C. Brubaker, S. Jana, B. Ray, S. Khurshid, and V. Shmatikov. Detecting and characterizing semantic inconsistencies in ported code. In: Automated Software Engineering, 2013 IEEE/ACM 28th International Conference on, pp. 367377, (ASE 2013). B. Ray, M. Kim, S. Person, and N. Rungta. A Case Study of Cross-system Porting in Forked Projects. In: Proceedings of the ACM SIGSOFT 20th International Symposium on the Foundations of Software Engineering, pp. 53.153.11 (FSE 2012). B. Ray and M. Kim. Contact Information Baishakhi Ray Computer Science rayb@virginia.edu My Links Website diff --git a/src/data/compiled_bios/4135.txt b/src/data/compiled_bios/4135.txt new file mode 100644 index 0000000000..ec3430ef7b --- /dev/null +++ b/src/data/compiled_bios/4135.txt @@ -0,0 +1 @@ +Charles Reiss Assistant Professor, Computer Science Bio B.S. Computer Science, Georgia Tech, 2008M.S. Computer Science, UC Berkeley, 2011Ph.D. Computer Science, UC Berkeley, 2016 Charles Reiss is an Assistant Professor, specializing in computer systems-related topics. Before joining UVa, he received in PhD from Berkeley, developing systems to analyze memory requirements in analytics systems like Apache Spark. Selected Publications Heterogeneity and dynamicity of clouds at scale: Google trace analysis. In: Third ACM Sympo- sium on Cloud Computing (SoCC). 2012. Charles Reiss, Alexey Tumanov, Gregory R. Ganger, Randy H Katz, and Michael A Kozuch. Using clouds for MapReduce measurement assignments. In: ACM Transactions on Computing Education (TOCE) 13.1 (2013) Ariel Rabkin, Charles Reiss, Randy Katz, and David Patterson. Courses Taught CS 3330 (Computer Architecture) Fall 2016 with Luther Tychonievich; Spring 2017 with Samira Khan; Fall 2017; Spring 2018 with Samira Khan CS 6354 (Graduate Computer Architecture) Fall 2016 CS 4630 (Defense Against the Dark Arts) Spring 2017 CS 2150 (Program and Data Representation) Spring 2018 with Mark Floryan Contact Information Charles Reiss Computer Science Office: Rice 205 PO Box 400740 Charlottesville, Virginia 22904 Phone: 434-924-8274 creiss@virginia.edu My Links Website diff --git a/src/data/compiled_bios/4136.txt b/src/data/compiled_bios/4136.txt new file mode 100644 index 0000000000..2f5f422170 --- /dev/null +++ b/src/data/compiled_bios/4136.txt @@ -0,0 +1 @@ +Gabriel Robins Professor, Computer Science Bio B.S. University of California, Los Angeles (UCLA), 1983M.S. Princeton University, 1985Ph.D. University of California, Los Angeles (UCLA), 1992 "I design more efficient and effective algorithms to address practical real-world problems, which in turn helps many other fields." Gabriel Robins, Professor Professor Gabriel Robins earned his Ph.D. in Computer Science from UCLA in 1992, where he received an IBM Fellowship and a Distinguished Teaching Award. He then joined the University of Virginia as Assistant Professor of Computer Science, where he received a National Science Foundation Young Investigator Award, a Packard Foundation Fellowship, a Lilly Foundation University Teaching Fellowship, the SIAM Outstanding Paper Prize, an All-University Outstanding Teacher Award, a Faculty Mentor Award, a Virginia Engineering Foundation Faculty Appreciation Award, a two-year early promotion to Associate Professor, and the Walter N. Munster Endowed Chair. He served on the U.S. Army Science Board, and is an alumnus of the Defense Science Study Group, an advisory panel to the U.S. Department of Defense. He has created the CS Web Team, the UVa Computer Museum, the CS Department Lounge, and the CS Poster Drive. He served on the program committees of several leading conferences, and served as Associate Editor of multiple journals, including the flagship journal IEEE Transaction on VLSI. He has directed over thirty students, and authored or co-authored a book, several book chapters, and over 110 refereed papers. Awards Society for Industrial and Applied Mathematics (SIAM) Outstanding Paper Prize 2007 Packard Foundation Fellowship 1995-2001 National Science Foundation Young Investigator Award 1994-1999 Best Presentation Award, IEEE International Conference on Localization and Global Navigation Satellite Systems, Torino, Italy 2013 Walter N. Munster Endowed Chair 1997-2002 Faculty Mentor Award, UVa School of Engineering 1997 All-University Outstanding Teaching Award, University of Virginia 1994-1995 University Teaching Fellowship, University of Virginia 1995-1996 Faculty Appreciation Award, Virginia Engineering Foundation 1998 Award for "Tireless Dedication to Improving the Department in All Aspects", Department of Computer Science 1998 Web Team Award - "In Appreciation for Founding and Leading the Department's Excellent Web Team for 6 Years" 2001 National Science Foundation Research Initiation Award 1993 IBM Graduate Fellowship 1991-1992 Distinguished Paper Award, IEEE International Conference on Computer-Aided Design 1990 Distinguished Teaching Award, UCLA 1989 Chancellor's Distinguished Honor Award Research Interests Algorithms Biomedical Data Sciences Genomics Radio Frequency Identification VLSI Design Selected Publications Tighter Bounds for Graph Steiner Tree Approximation, SIAM Journal on Discrete Mathematics, Vol. 19, No. 1, 2005, pp. 122-134. This paper won the SIAM Outstanding Paper Prize in 2007 ABS Robins, G. and Zelikovsky, A. An RFID-Based Object Localization Framework, International Journal of Radio Frequency Identification Technology and Applications, Special Issue on RFID-Enhanced Technology Intelligence and Management, Vol. 3, No. 1/2, 2011, pp. 2-30. Invited paper ABS Chawla, K., and Robins, G. Generalized Neighbor-Joining: More Reliable Phylogenetic Tree Reconstruction, Journal of Molecular Biology and Evolution, Vol. 16, No. 6, pp. 806-816, 1999 ABS Pearson, W. R., Robins, G., and Zhang, T. The Moving-Target Traveling Salesman Problem, Journal of Algorithms, Vol. 49, No. 1, October 2003, pp. 153-174 ABS Helvig, C. S., Robins, G., and Zelikovsky, A. Binary Interval Search (BITS): A Scalable Algorithm for Counting Interval Intersections, Bioinformatics, Vol. 29, No. 1, 2013, pp. 1-7. ABS Layer, R., Skadron, K., Robins, G., Hall, I., and Quinlan, A. On Optimal Interconnections for VLSI, Kluwer Academic Publishers, Boston, MA, 1995, 304 pages. ABS Kahng, A. B. and Robins, G. An Improved Approximation Scheme for the Group Steiner Problem, Networks, Vol. 37, No. 1, January 2001, pp. 8-20. ABS Helvig, C. S., Robins, G., and Zelikovsky, A. A Methodology for Energy-Quality Tradeoffs Using Imprecise Hardware, Proc. ACM/IEEE Design Automation Conference, San Francisco, CA, June 2012, pp. 504-509. ABS Huang, J., Lach, J. and Robins, G. Google Scholar ResearchGate Courses Taught Analysis of Algorithms (CS6161) Theory of Computation (CS6160) Algorithms (CS4102) Theory of Computation (CS3102) Computational Geometry Discrete Mathematics Algorithms and Problem Solving Featured Grants & Projects Packard Foundation Fellowship Packard Foundation, 1995-2001 ($500,000) National Science Foundation Young Investigator Award National Science Foundation, 1994-1999 ($312,500) Compression-Aware Algorithms for Massive Datasets National Science Foundation, 2011-2016 ($500,000) New Algorithms and Tools for Large-Scale Genomic Analyses National Institute of Health, 2012-2017 ($2,459,825 co-PI) New Directions in Reliability Security and Privacy for Radio Frequency Identification (RFID) Systems National Science Foundation, 2007-2011 ($450,000) New Directions for Advanced VLSI Manufacturability National Science Foundation, 2004-2007 ($93,039) Research in Layout Optimization for Advanced Manufacturability Considerations National Science Foundation, 2000-2003 ($421,943) Contact Information Gabriel Robins Computer Science Office: Rice Hall, 406 P.O. Box 400740 Charlottesville, Virginia 22904 Phone: 434-249-0809 robins@cs.virginia.edu Linkedin My Links Website diff --git a/src/data/compiled_bios/4137.txt b/src/data/compiled_bios/4137.txt new file mode 100644 index 0000000000..7d9a327302 --- /dev/null +++ b/src/data/compiled_bios/4137.txt @@ -0,0 +1 @@ +Haiying Shen Associate ProfessorComputer Science, Electrical and Computer Engineering, Engineering Systems and Environment Bio B.S. Tongji University, 2000M.S. Wayne State University, 2004Ph.D. Wayne State University, 2006 Haiying Shen received her BS degree in Computer Science and Engineering from Tongji University, China in 2000, and her MS and Ph.D. degrees in Computer Engineering from Wayne State University in 2004 and 2006, respectively. She was a faculty member in the Department of Computer Science and Computer Engineering at University of Arkansas from 2006 to 2009, and was a faculty member in the Department of Electrical and Computer Engineering at Clemson University from 2009 to 2016. She joined the University of Virginia Department as an Associate Professor in 2016. She was a recipient of the TCSC Mid-career Award 2015, IBM Faculty Award 2015, NSF CAREER Award 2013, Sigma Xi Clemson Chapter Young Investigator of the Year Award 2013, Microsoft Faculty Fellowship Award 2010, Award for Faculty Excellence of Clemson University 2010, and Undergraduate Mentor Thesis Award of University of Arkansas in 2009. She is a subject area editor for the Scalable Computing Journal, and an associate editor for the International Journal of Parallel, Emergent and Distributes Systems (IJPEDS) and for the Journal of Information Science and Engineering. She is also a program committee member of many leading conferences, and the former program co-chair for a number of international conferences. Awards Microsoft Research Faculty Fellow July 13, 2010 NSF CAREER Award 2013 IBM Faculty Award 2015 The Sigma Xi Clemson Chapter Young Investigator of the Year Award 2013 Research Interests Internet of Things Smart Buildings/Cities Computer Networks Grid/Cloud/High-performance Computing Selected Publications Distributed Autonomous Virtual Resource Management in Datacenters Using Finite-Markov Decision Process. SOCC '14 Proceedings of the ACM Symposium on Cloud Computing, Pages 1-13. ABS Liuhua Chen, Haiying Shen, Karan Sapra An economical and SLO-guaranteed cloud storage service across multiple cloud service providers. Computer Communications, IEEE INFOCOM 2016 - The 35th Annual IEEE International Conference. ABS Guoxin Liu, Haiying Shen Probabilistic demand allocation for cloud service brokerage. Computer Communications, IEEE INFOCOM 2016 - The 35th Annual IEEE International Conference. ABS Chenxi Qiu, Haiying Shen, Liuhua Chen Fine-Grained Encountering Information Collection under Neighbor Anonymity in Mobile Opportunistic Social Networks. Network Protocols (ICNP), 2015 IEEE 23rd International Conference. ABS Kang Chen, Haiying Shen TSearch: Target-Oriented Low-Delay Node Searching in DTNs With Social Network Properties. IEEE/ACM Transactions on Networking (Volume: 24, Issue: 6, December 2016) ABS Li Yan, Haiying Shen, Kang Chen Google Scholar Courses Taught CS6501-010 Cloud Computing CS6501-007 CPS and Cloud Computing Featured Grants & Projects NSF #1404981 Application Characterization for Adaptive Computing Platform Determination for Computational and Data-Enabled Science and Engineering (PI) Read More NSF #1254006 A New Efficient and Cooperative Large-Scale Distributed Data Sharing System (PI) Read More Microsoft Research A Hierarchical DHT-Aided Chunk-Driven Overlay for Real-Time Peer-to-Peer Live Streaming (PI) Contact Information Haiying Shen Computer Science, Electrical and Computer Engineering, System and Information Engineering Office: Rice Hall 303 Lab: Rice Hall 532 P.O. Box 400740 Charlottesville, Virginia 22904 Phone: 434-924-8271 hs6ms@virginia.edu Research Summary My Links Website Link Lab diff --git a/src/data/compiled_bios/4138.txt b/src/data/compiled_bios/4138.txt new file mode 100644 index 0000000000..b93920d2b9 --- /dev/null +++ b/src/data/compiled_bios/4138.txt @@ -0,0 +1 @@ +Mark S. Sherriff Associate Professor, Computer Science Bio B.S. Wake Forest University, 2002M.S. North Carolina State University, 2004Ph.D. North Carolina State University, 2007 "I endeavor to create unique and impactful learning experiences for all students - introductory to advanced. Learning is a two-way, active process!" Mark S. Sherriff, Associate Professor Mark Sherriff is an Associate Professor and member of the Academic General Faculty in the Department of Computer Science at UVA. His teaching focus is in introductory computer science, video game design, mobile app development, web application development, and software engineering. His research interests are in empirical CS education at all levels, video game design, and agile software development. He received his BS in Computer Science from Wake Forest University in 2002 and his MS and PhD from NC State University in 2004 and 2007. Awards IEEE Computer Society Computer Science and Engineering Undergraduate Teaching Award 2016 UVA All-University Teaching Award 2014 UVA ACM Professor of the Year 2012 Trigon Engineering Society Thomas E. Hutchinson Faculty Award Winner 2011 Hartfield-Jefferson Scholars Teaching Prize (first year ever awarded) 2010 UVA ACM Professor of the Year 2010 Research Interests Computer Science Education Computer Game Design Software Engineering Selected Publications "Achievement Unlocked: Investigating Which Gamification Elements Motivate Students." The 123rd ASEE Annual Conference and Exposition, New Orleans, LA, June 24-27, 2016. Sherriff, M. and Floryan, M. "A (Updated) Review of Empiricism at the SIGCSE Technical Symposium." The 47th ACM Technical Symposium on Computer Science Education, Memphis, TN, Mar 3-6, 2016. Al-Zubidy, A., Carver, J., Heckman, S., Sherriff, M. A Service Learning Capstone Practicum. The 45th ACM Technical Symposium on Computer Science Education, Atlanta, GA, Mar 5-8, 2014. Bloomfield, A., Sherriff, M., and Williams, K. "Inform, Experience, Implement - Teaching an Intensive High School Summer Course." The 42nd Annual Frontiers in Education (FIE) Conference, Seattle, WA, Oct 3-6, 2012. Layer, R., Sherriff, M., and Tychonievich, L. "Teaching Web Services and Service-Oriented Architecture using Mobile Platforms." The 40th Annual Frontiers in Education (FIE) Conference, Washington, DC, Oct 27-30, 2010. Sherriff, M. Google Scholar ResearchGate Courses Taught CS 1110 - Introduction to Programming CS 3240 - Advanced Software Development Techniques CS 4720 - Mobile Application Development CS 4730 - Computer Game Design Featured Grants & Projects Collaborative Research: Transforming Computer Science Education Research Through Use of Appropriate Empirical Research Methods: Mentoring and Tutorials The goal of this project is to transform empirical CSEd research by building and supporting a community of CSEd researchers through: (1) creation and curation of laboratory packages to facilitate empirical CSEd research, (2) facilitation of cohorts of 10-12 educators who are mentored in developing and executing an empirical CSEd research study and (3) development and presentation of tutorials on empirical research methods at CSEd conferences. Laboratory packages are aids that provide researchers with a driving research question, a methodology for designing and executing a study, tools and resources to replicate the study, and results of previous related studies. The cohorts will have a more-focused interaction during a summer session to develop a study with a follow-up workshop to report and discuss results. Finally, the tutorials allow for broader dissemination of the key concepts of empirical CSEd research to the larger community. Game Design Research Group (Co-Director) Our group of 13 students currently performs research on gamification in education and games for good. Our ongoing projects include a gamification platform for college courses, educational games for elementary and middle school students, and the creation of an introductory CS course that focuses on game design principles. Contact Information Mark S. Sherriff Computer Science Office: Rice Hall 401 Box 400740 Charlottesville, Virginia 22904 Phone: 434-982-2688 Fax: Fax: 434-982-2214 sherriff@virginia.edu Twitter Research Summary My Links Personal Homepage Game Design Research Group EmpiricalCSEd.org diff --git a/src/data/compiled_bios/4139.txt b/src/data/compiled_bios/4139.txt new file mode 100644 index 0000000000..e95e5164e1 --- /dev/null +++ b/src/data/compiled_bios/4139.txt @@ -0,0 +1 @@ +Kevin Skadron Harry Douglas Forsyth Professor and Chair of Computer Science Bio B.S. in Electrical & Computer Engineering, B.A. in Economics, Rice University, 1994Ph.D. in Computer Science, Princeton University, 1999 "Our group's work focuses on how to design microprocessors for speed, energy efficiency, thermal management, and reliability." Kevin Skadron, Harry Douglas Forsyth Professor and Chair of Computer Science Kevin Skadron has been on the faculty at University of Virginia since 1999. He received his B.S. in Electrical and Computer Engineering and B.A. in Economics from Rice University in 1994, and his Ph.D. in Computer Science from Princeton University in 1999. He spent the 2007-08 academic year on sabbatical at NVIDIA Research. He became department chair in 2012. He also helped found and serves as director for the U.Va. Center for Automata Processing (CAP). Skadron is the recipient of the 2011 ACM SIGARCH Maurice Wilkes Award and a Fellow of the IEEE and ACM. For the year 2003-04, he was named a University of Virginia Teaching Fellow. Among other professional activities, he is co-founder and editorial board member of IEEE Computer Architecture Letters, for which he served as associate editor-in-chief from 2001-2009 and editor-in chief from 2010-2012. He has served on the editorial board of IEEE Micro from 2004-2012 and as co-founder/co-editor (with Kevin Rudd) of its "Prolegomena" column, as secretary-treasurer of ACM's SIGARCH from 2007-2011, as technical program co-chair of PACT 2006, general co-chair for PACT 2002 and MICRO-37, and on numerous technical program committees. He has also given several keynotes; most recently, he presented the keynote for IISWC 2014. Awards ACM SIGARCH Maurice Wilkes Award 2011 Fellow of the IEEE Fellow of the ACM Research Interests Computer Architecture Grid/Cloud/High-performance Computing Low Power Design Selected Publications REAPR: Reconfigurable Engine for Automata Processing. In Proceedings of the International Conference on Field-Programmable Logic and Applications (FPL), Sept. 2017. ABS T. Xie, V. Dang, J. Wadden, K. Skadron, and M. R. Stan. Frequent Subtree Mining on the Automata Processor: Challenges and Opportunities. In Proceedings of the ACM International Conference on Supercomputing (ICS), June 2017. ABS E. Sadredini, K. Wang, and K. Skadron. Automata-to-Routing: An Open-Source Toolchain for Design-Space Exploration of Spatial Automata Processing Architectures. In Proceedings of the IEEE International Symposium on Field-Programmable Custom Computing Machines (FCCM), Apr. 2017. ABS J. Wadden, Samira Khan, and K. Skadron. Dual-Data Rate Transpose-Memory Architecture Improves the Performance, Power and Area of Signal-Processing Systems. Journal of Signal Processing Systems, Springer, published online Nov. 2016. DOI 10.1007/s11265-016-1199-1. ABS M. El-Hadedy, X. Guo, M. Margala, M. R. Stan, and K. Skadron. "Lumos+: Rapid, Pre-RTL Design Space Exploration on Accelerator-Rich Heterogeneous Architectures with Reconfigurable Logic." In Proceedings of the IEEE International Conference on Computer Design (ICCD), Oct. 2016. ABS L. Wang and K. Skadron. "ANMLZoo: A Benchmark Suite for Exploring Bottlenecks in Automata Processing Engines and Architectures." In Proceedings of the IEEE International Symposium on Workload Characterization (IISWC), Sept. 2016. ABS J. P. Wadden, V. Dang, N. Brunelle, T. Tracy II, D. Guo, E. Sadredini, K. Wang, C. Bo, G. Robins, M. R. Stan, and K. Skadron. Closing the Power Delivery/Heat Removal Cycle for Heterogeneous Multi-Scale Systems. In Proceedings of the 22nd International Workshop on Thermal Investigations of ICs (THERMINIC), Sept. 2016. ABS K. Wang, K. Skadron, and M. R. Stan. "Sequential Pattern Mining with the Micron Automata Processor." In Proceedings of the ACM International Conference on Computing Frontiers, May 2016. Best paper award! ABS K. Wang, E. Sadredini, and K. Skadron. (Best paper award) "A 16-bit Reconfigurable Encryption Processor for Pi-Cipher." In Proceedings of the 23rd Reconfigurable Architectures Workshop (RAW), in conjunction with IPDPS, May 2016. Best paper award! ABS M. El-Hadedy, H. Mihajloska, D. Gligoroski, A. Kulkarni, D. Stroobandt and K. Skadron. (Best paper award) "RAPID Programming of Pattern-Recognition Processors." In Proceedings of the ACM International Symposium on Architectural Support for Programming Languages and Operating Systems (ASPLOS), Apr. 2016. ABS K. Angstadt, W. Weimer, and K. Skadron. "Transient Voltage Noise in Charge-Recycled Power Delivery Networks for Many-Layer 3D-IC." In Proceedings of the ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED), July 2015. ABS R. Zhang, K. Mazumder, B. H. Meyer, K. Wang, K. Skadron, and M. R. Stan. "Architecture Implications of Pads as a Scarce Resource." In Proceedings of the ACM/IEEE International Symposium on Computer Architecture, June 2014. ABS R. Zhang, K. Wang, B. H. Meyer, M. R. Stan, and K. Skadron. "Real-World Design and Evaluation of Compiler-Managed GPU Redundant Multithreading." In Proceedings of the ACM/IEEE International Symposium on Computer Architecture, June 2014. ABS J. Wadden, A. Lyashevsky, S. Gurumurthi, V. Sridharan, and K. Skadron. "Managing C4 Placement for Transient Voltage Noise Minimization." In Proceedings of the ACM/IEEE Conference on Design Automation (DAC), June 2014 ABS K. Wang, R. Zhang, B. H. Meyer, M. R. Stan, and K. Skadron. "Dymaxion++: A Directive-based API to Optimize Data Layout and Memory Mapping for Heterogeneous Systems." In Proceedings of the Fourth International Workshop on Accelerators and Hybrid Exascale Systems, in conjunction with IPDPS, May 2014. ABS S. Che, J. Meng, and K. Skadron. "Implications of the Power Wall: Dim Cores and Reconfigurable Logic." IEEE Micro special issue on Dark Silicon, 33(5): 40-49, Sept.-Oct. 2013.DOI 10.1109/MM.2013.74. ABS L. Wang and K. Skadron. Google Scholar Courses Taught CS 433: Advanced Computer Architecture fall 2005; spring 2007; spring 2009 CS 414/4414: Operating Systems spring 2002, 2004, 2005, 2006, fall 2008, fall 2010, spring 2012 CS 6190: Computer Science Perspectives fall 2012, 2013, 2014, 2015, 2016 CS 6354 (formerly 654): Graduate Computer Architecture fall 2000, 2001, 2002, 2003, 2004, 2009, and spring 2013, 2014 CS 6501: Special Topics in Computer Architecture: Heterogeneous and Scalable Computing fall 2011 CS 754: Advanced Computer Architecture (Multicore Architectures and Programming Models) fall 2006 CS 851/8501: Special Topics in Computer Architecture fall 1999, spring 2000, spring 2001, spring 2002, fall 2004, most recently spring 2010 CS 8535: Advanced Computer Architecture: Dark Silicon spring 2011 Featured Grants & Projects Current Grants This work is currently supported by the National Science Foundation under grant no. CCF-1629450 (XPS) and CCF-1619127; by DARPA MTO (PERFECT program) under contract HR0011-13-C-0022; by C-FAR, one of six centers of STARnet, a Semiconductor Research Corporation program sponsored by MARCO and DARPA; the Virginia CIT CRCF program under grant MF17-027-IT; Xilinx; an ARCS Scholarship for Jack Wadden; and equipment donations from Micron, Xilinx, NVIDIA, and AMD. The U.Va. Center for Automata Processing (CAP) is supported in part by Micron. Contact Information Kevin Skadron Computer Science Office: Rice Hall 521 Box 400740 Charlottesville, Virginia 22904 Phone: 434-982-2042 Fax: Fax: 434-982-2214 skadron@virginia.edu Linkedin Research Summary My Links Website Center for Automata Processor diff --git a/src/data/compiled_bios/414.txt b/src/data/compiled_bios/414.txt new file mode 100644 index 0000000000..c7dbb25a0e --- /dev/null +++ b/src/data/compiled_bios/414.txt @@ -0,0 +1 @@ +Name: Yuruk, Nurcan:: Position: Senior Lecturer:: Degrees: Ph.D., University of Arkansas; diff --git a/src/data/compiled_bios/4140.txt b/src/data/compiled_bios/4140.txt new file mode 100644 index 0000000000..b171eedae0 --- /dev/null +++ b/src/data/compiled_bios/4140.txt @@ -0,0 +1 @@ +Mary Lou Soffa Owens R. Cheatham Professor of Sciences Bio B.S. University of PittsburghM.S. Ohio State UniversityPh.D. University of Pittsburgh "My research impacts the performance, reliability and security of software systems. As I teach programming type courses, students learn how to program in different programming languages and to write high quality and dependable code." Mary Lou Soffa, Owens R. Cheatham Professor of Sciences Mary Lou Soffa is the Owen R. Cheatham Professor of Sciences in the Computer Science Department at the University of Virginia, serving as the Department Chair from 2004 to 2012. From 1977 to 2004, she was a Professor of Computer Science at the University of Pittsburgh and also served as the Dean of Graduate Studies in the College of Arts and Sciences for five years. Her research interests include cloud computing, warehouse scale computers, software systems for multi-core architectures, optimizing compilers, software testing, and program analysis. She has directed 32 Ph.D. students to completion, half of whom are women. Mary Lou is a Fellow of the Association for Computing Machinery (ACM) and a Fellow of The Institute of Electrical and Electronic Engineers (IEEE). In 2012, she received the Ken Kennedy Award for contributions to compiler technology and software engineering, exemplary service to the profession, and lifelong dedication to mentoring and improving diversity in computing. She received the Anita Borg Technical Leadership Award in 2011, which celebrates a woman who led or developed a product, process, or innovation that made a notable impact on business or society. Other awards she received include the ACM SIGSOFT Influential Educator Award in 2014, the Distinguished Alumni Award from the Computer Science Department at the University of Pittsburgh in 2017, the the Computing Research Association (CRA) Nico Habermann Award in 2006, a Girl Scout Woman of Distinction Award in 2003, and the White Houses Presidential Award for Excellence in Science, Mathematics and Engineering Mentoring in 1999. She has also received a number of distinguished paper awards. Mary Lou was a member of the Computer Research Association Board (CRA) for ten years. She served as a co-chair and member on the CRA-W Board co-founded the CRA-W Graduate Cohort Program and the CRA-W Mentoring Program for Associate Professors. She served on ACM Council from 2000-2016. She has served on the editorial board of a number of journals, including the ACM Transactions on Programming Languages and Systems and the IEEE Transactions on Software Engineering. In addition, she has been a conference chair, program chair or program committee member for many conferences in programming languages, software systems and software engineering. Currently, Mary Lou is on the ACM Publication Board and serves on conference program committees. Awards ACM Fellow 1999 IEEE Fellow 2012 Ken Kennedy Award 2012 Anita Borg Technical Leadership Award 2011 Nico Habermann Award 2006 IEEE TCSE Software Engineering Women in science and Engineering Leadership Award 2015 ACM SIGSOFT Influential Educator Award 2014 Girl Scout Woman of Distinction 2003 ACM SIGPLAN Distinguished Service Award 2010 ACM SIGSOFT Distinguished Service Award 2012 Top 25 Software Engineer Scholars in World, July, ACM CACM 2007 Most Influential papers of 20 years in ACM/SIGPLAN Programming Languages Design and Implementation (PLDI), Complete Removal of Redundant Expressions, (co-authored with R. Bodik and R. Gupta) 2003 Research Interests Computer Architecture Software Engineering Programming Languages and Compilers Selected Publications Will this Cloud Configuration Meet MY Performance and Cost Requirements? Ningjing Tian, Wei Wang, Abhijeet Srivastava, Lori Pollock and Mary Lou Soffa, submitted. A methodology for controlling the size of a test suite, ACM Transactions on Software Engineering and Methodology (TOSEM) 2 (3), 270-285. ABS MJ Harrold, R Gupta, ML Soffa Hierarchical GUI test case generation using automated planning, IEEE Transactions on Software Engineering 27 (2), 144-155. ABS A. Memon, ME Pollack, ML Soffa Bubble-up: Increasing utilization in modern warehouse scale computers via sensible co-locations, Proceedings of the 44th annual IEEE/ACM International Symposium on Microarchitecture, 2011, pp. 248-25 ABS J Mars, L Tang, R Hundt, K Skadron, ML Soffa Efficient computation of interprocedural definition-use chains, ACM Transactions on Programming Languages and Systems (TOPLAS) 16 (2), 175-204 ABS MJ Harrold, ML Soffa Google Scholar Courses Taught Design and Implementation of Compilers and Optimizers Programming Languages for Web Applications Featured Grants & Projects NSF Grant: Cloud Mentoring Guiding Cloud Users for Cost Performance through Testing and Recommendation. This research addresses the : (1) design and development of a testing framework customized to applications in the cloud, (2) various instantiations of the framework to test different configurations of a cloud application possibly provided by the cloud user, (3) algorithms for recommending instance configurations that meet performance and cost requirements, (4) techniques to minimize the test case search space, thus the number of test cases generated and executed, and (5) implementation and evaluation of the testing-based recommendation system including metrics. Contact Information Mary Lou Soffa Computer Science Office: Rice 421 P.O. Box 40074 Charlottesville, Virginia 22904 Phone: 434-982-2277 Fax: Fax: 434-982-2214 soffa@virginia.edu My Links Website diff --git a/src/data/compiled_bios/4141.txt b/src/data/compiled_bios/4141.txt new file mode 100644 index 0000000000..8e7c163353 --- /dev/null +++ b/src/data/compiled_bios/4141.txt @@ -0,0 +1 @@ +Sang Son Emeritus Professor of Computer Science Bio Ph.D., Computer Science, University of Maryland, 1986M.S., Computer Science, University of Maryland, 1984M.S., Electrical Engineering, Korea Advanced Institute of Science, 1978B.S., Electronics Engineering, Seoul National University, 1976 Sang Hyuk Son is IEEE Fellow and Department Chair of Information and Communication Engineering at DGIST. He has been a Professor of Computer Science Department at the University of Virginia, and WCU Chair Professor at Sogang University. He received the B.S. degree in electronics engineering from Seoul National University, M.S. degree from KAIST, and the Ph.D. in computer science from University of Maryland, College Park. He has been a Visiting Professor at KAIST, City University of Hong Kong, Ecole Centrale de Lille in France, and Linkoping University and University of Skovde in Sweden. Prof. Son has served as the chair of the IEEE Technical Committee on Real-Time Systems during 2007-2008. He is serving as an Associate Editor for Real-Time Systems Journal and Journal of Computing Science and Engineering, and has served on the editorial board of IEEE Transactions on Computers and IEEE Transactions on Parallel and Distributed Systems. He is also serving as a member of the steering committee for RTCSA, Cyber physical Systems Week, and SEUS. He received the Outstanding Contribution Award form ACM/IEEE Cyber Physical Systems Week in 2012. His research interests include cyber physical systems, real-time and embedded systems, database and data services, and wireless sensor networks. He has written or co-authored over 290 papers and edited/authored four books in these areas. His research has been funded by National Science Foundation, DARPA, Office of Naval Research, Department of Energy, National Security Agency, IBM, and National Research Foundation of Korea. Awards IEEE Fellow January 2013 Outstanding Contribution Award, ACM/IEEE CPS Week April 2012 Outstanding Service Award, KOCSEA December 2012 IEEE Service Award, IEEE TCRTS December 2009 Outstanding Contribution Award, IEEE RTCSA 2004 Research Interests Real-time computing database and data services QoS management wireless sensor networks information security Contact Information Sang Son Computer Science son@cs.virginia.edu My Links Website diff --git a/src/data/compiled_bios/4142.txt b/src/data/compiled_bios/4142.txt new file mode 100644 index 0000000000..c05cc07050 --- /dev/null +++ b/src/data/compiled_bios/4142.txt @@ -0,0 +1 @@ +John A. Stankovic BP America ProfessorDirector, Link Lab Bio BSEE Brown University, 1970M.S. Computer Science, Brown University, 1975Ph.D. Computer Science, Brown University, 1979 "Our main work is creating technology for healthcare, especially for the elderly. Using smart homes, phones, wearables, and in-situ sensors, our technology is applied to patients with dementia, depression, epilepsy and obesity. We are also performing research for smart cities of the future. In particular, this work focuses on improving services and ensuring safety of smart cities." John A. Stankovic, BP America Professor Professor John A. Stankovic is the BP America Professor in the Computer Science Department at the University of Virginia. He has been awarded an Honorary Doctorate from the University of York for his work in real-time systems. He won the IEEE Real-Time Systems Technical Committee's Award for Outstanding Technical Contributions and Leadership. He also won the IEEE Technical Committee on Distributed Processing Distinguished Achievement Award (inaugural winner). He has seven Best Paper awards. He also has two Best Paper Runner Up Awards. He has also been a finalist for multiple other Best Paper Awards. Stankovic has an h-index of 115 and over 52,500 citations. In 2015 he was awarded the Univ. of Virginia Distinguished Scientist Award, and in 2010 the School of Engineerings Distinguished Faculty Award. He also received a Distinguished Faculty Award from the University of Massachusetts. He has given more than 40 Keynote talks at conferences and many Distinguished Lectures at major Universities He was the Editor-in-Chief for the IEEE Transactions on Distributed and Parallel Systems and was founder and co-editor-in-chief for the Real-Time Systems Journal. Awards Life Fellow of the IEEE (for research contributions in distributed and real-time computing) 1994 Fellow of the ACM 1996 Honorary Doctorate, University of York, U.K. 2015 University of Virginia Distinguished Scientist Award August 2015 School of Engineering Distinguished Faculty Award, Univ. of Virginia Sept. 2010 Outstanding Scholar Award - School of Engineering, University of Massachusetts 1983 IEEE Award for Outstanding Technical Contributions and Leadership in Real-TimeSystems - TC on Real-Time Systems December 2000 IEEE TC on Distributed Processing Annual Distinguished Achievement Award, inaugural winner. June 2006 Seven Best Paper Awards. Seven Best Paper Runner Up Awards. Microsoft Academic Search: citation by area - highest rated person in real-time and embedded systems. Spring Scheduling Co-Processor Designs Won First and Second Place in MCC VLSI Design Contest 1993 PhD thesis published as a book as part of a series of the best PhD theses in CompSci. Research Interests Internet of Things Wireless Health Smart Buildings/Cities Embedded Systems In the News UVA Engineering's Link Lab Represents Future for Cyber-Physical Systems Research and Education UVA Engineering's Link Lab Represents Future for Cyber-Physical Systems Research and Education Link Lab Focuses on Autonomous Systems, Smart Cities and Smart Health Soon, roadways will be filled with driverless vehicles. Robots will help all surgeons operate more precisely and safely. Homes will sense how their occupants want to live, and... Read More Selected Publications AsthmaGuide: An Asthma Monitoring and Advice Ecosystem, Wireless Health, nominated for best paper, Oct. 2016. H. Ra, A. Salekin, H. Yoon, J. Kim, S. Nirjon, D. Stone, S. Kim, J. Lee, S. Son, and J. Stankovic CityGuard: A Watchdog for Safety-Aware Conflict Detection and Resolution in Smart Cities, IOTDI, April 2017, April 2017. M. Ma, S. Preum, and J. Stankovic PreCluDe: Conflict Detection in Textual Health Advice, Percom 2017, March 2017. S. Preum, A. Mondol, M. Ma, H.Wang, and J. Stankovic t-kernel: Providing Reliable OS Support to Wireless Sensor Networks, ACM SenSys, acceptance rate 19%, Best Paper Award, Nov. 2006. L. Gu and J. Stankovic Abdelzaher, Range-Free Localization Schemes for Large Scale Sensor Networks, Mobicom, September 2003. (acceptance rate 9%). T. He, C. Huang, B. Blum, J. Stankovic, T. Google Scholar Courses Taught Cyber Physical Systems Smart Homes, Phones, Watches and Beyond Computer Architecture Contact Information John A. Stankovic Computer Science Office: Olsson 247 Lab: Rice 540 P.O. Box 400740 Charlottesville, Virginia 22904 Phone: 434-982-2275 Fax: Fax: 434-982-2214 stankovic@cs.virginia.edu Research Summary My Links Website Link Lab diff --git a/src/data/compiled_bios/4143.txt b/src/data/compiled_bios/4143.txt new file mode 100644 index 0000000000..6592549144 --- /dev/null +++ b/src/data/compiled_bios/4143.txt @@ -0,0 +1 @@ +Derrick Stone LecturerComputer ScienceDirector of Software Development, UVA Health System Bio MS Management of Information Technology, McIntire School of CommerceBIS, Information Systems concentration Research Interests Computer Science Education Courses Taught CS 2110 Contact Information Derrick Stone djs6d@virginia.edu Facebook Twitter Linkedin diff --git a/src/data/compiled_bios/4144.txt b/src/data/compiled_bios/4144.txt new file mode 100644 index 0000000000..e7c19d2216 --- /dev/null +++ b/src/data/compiled_bios/4144.txt @@ -0,0 +1 @@ +Kevin Sullivan Associate Professor, Computer Science Bio B.S. Tufts University, 1987 M.S. University of Washington, 1990Ph.D. University of Washington, 1994 "I aim to catalyze a self-regenerative transformation of critical sectors of our society into far better performing cyber-social learning systems." Kevin Sullivan, Associate Professor Kevin Sullivan obtained his background in computer science from Tufts University (1987), working most closely with David Krumme, and in graduate school at the University of Washington, working with David Notkin (MS, 1994, PhD, 1994). Kevin's graduate work set him to thinking about the evolvability, and actual evolution, of software as its most important sources of value, but as a property that is also astonishing hard to achieve and maintain in a medium that is understood by its very name to be "soft." Kevin joined UVa as Assistant Professor of Computer Science in 1994 and has worked at UVa since then. He has worked in areas including software evolvability (including notions of the options value of modularity in design and how to reconcile the modularity-breaking potential of aspect-oriented programming with the need for abstraction and information hiding modularity to preserve evolvability properties); in value-based software engineering (seeking to better understand how to link software design to broader economic objectives, rather than from merely technical notions of design excellence), and on formal methods for software and systems assurance (including modest recently his work with John Knight and Jian Xiang on rela-world types and interpreted formalisms). One of Kevin's current areas of work is in the establishment of a discipline of cyber-social learning systems, drawing together knowledge from a diversity of areas to inform the design of 21st century service systems: in healthcare, education, defense, and many other sectors of society. Research Interests Human Factors Cybersecurity Human Machine Interface Software Engineering Programming Languages and Compilers Selected Publications Toward an Information Infrastructure for Global Health Improvement, IMIA Yearbook, 2017 ABS CP Friedman, JC Rubin, KJ Sullivan Is My Software Consistent with the Real World? High Assurance Systems Engineering (HASE), 2017 J Xiang, J Knight, K Sullivan Ultra-large-scale systems: The software challenge of the future, Software Engineering Institute, 2006. ABS Northrop, Linda ; Feiler, Peter ; Gabriel, Richard P ; Goodenough, John ; Linger, Rick ; Longstaff, Tom ; Kazman, Rick ; Klein, Mark ; Douglas Schmidt, ; Sullivan, Kevin ; Wallnau, Kurt The structure and value of modularity in software design, ACM SIGSOFT Software Engineering Notes, 2001 KJ Sullivan, WG Griswold, Y Cai, B Hallen Software design as an investment activity: a real options perspective, Real options and business strategy, Risk Books, 1999. ABS KJ Sullivan, P Chalasani, S Jha, V Sazawal Software reflexion models: Bridging the gap between source and high-level models, ACM SIGSOFT Software Engineering Notes, 1995. ABS GC Murphy, D Notkin, K Sullivan Contact Information Kevin Sullivan Computer Science Office: Rice 508 PO Box 400740 Charlottesville, Virginia 22904 Phone: 434-982-2206 Fax: Fax: 434-982-2214 sullivan@virginia.edu Research Summary My Links Website diff --git a/src/data/compiled_bios/4145.txt b/src/data/compiled_bios/4145.txt new file mode 100644 index 0000000000..b42bba66df --- /dev/null +++ b/src/data/compiled_bios/4145.txt @@ -0,0 +1 @@ +Yuan Tian Assistant Professor, Computer Science Bio PhD, Carnegie Mellon University My research interests involve security and privacy and its interactions with system, networking, machine learning, and human-computer interaction. My current research focuses on developing new technologies for protecting user privacy, particularly in the areas of mobile systems and Internet of Things. My previous work about mobile and web security and privacy have been adopted by Google (Chrome HTML5 privacy), Facebook (flaw analysis for web services, authentication protection), Microsoft (login protection), Samsung (mobile app security), Evernote (OAuth security), Dropbox (OAuth security), and others. Research Interests Security and Privacy Cyber-Physical System Machine Learning Human-Computer Interaction Selected Publications SmartAuth: User-Centered Authorization for the Internet of Things 26th USENIX Security Symposium (USENIX Security), 2017 IVD: Automatic Learning and Enforcement of Authorization Rules in Online Social Networks 38th IEEE Symposium on Security and Privacy (Oakland), 2017 All Your Screens Are Belong to Us: Attacks Exploiting the HTML5 Screen Sharing API 35th IEEE Symposium on Security and Privacy (Oakland), 2014 OAuth Demystified for Mobile Application Developers 21st ACM Conference on Computer and Communications Security (CCS), 2014 Google Scholar Contact Information Yuan Tian Rice 422 85 Engineer's Way Charlottesville, Virginia 22904 Phone: 434-982-2216 Fax: 434-982-2214 yt2e@virginia.edu My Links Yuan's personal website Link Lab diff --git a/src/data/compiled_bios/4146.txt b/src/data/compiled_bios/4146.txt new file mode 100644 index 0000000000..08014c4e07 --- /dev/null +++ b/src/data/compiled_bios/4146.txt @@ -0,0 +1 @@ +Luther A. Tychonievich Assistant Professor, Computer Science Bio B.S. Brigham Young University, 2005M.S. Brigham Young University, 2008Ph.D. University of Virginia, 2013 "Computers obey whoever tells them what to do them, unerringly and tirelessly. I teach people how to tell computers what to do." Luther A. Tychonievich, Lecturer Prior to accepting a position as a full-time lecturer in the Computer Science Department at the University of Virginia, I graduated from the University of Virginia, Brigham Young University, and Lakeland Community College. I wrote my first program and declared my CS major between my second and third year of college; I fell in love with its versatility, scope, and power; it is a field that combines the human-defined purity and elegance of mathematics with the real-world impact of engineering. During my graduate work I became fascinated with the issues relating to education of a new generation of computer scientists and how to help people from backgrounds that are traditionally-underrepresented in CS recognize the marvelous opportunities the field offers and excel in the field. In addition to teaching, I devote significant effort to the education of educators (primarily teaching assistants, but also high-school and college faculty) and to the design of data models that encourage correct mental models in humanities research as part of FHISO and rootsdev. Awards The Harold S. Morton, Jr. Award for Teaching 2017 Contact Information Luther A. Tychonievich Computer Science Office: Rice 208 85 Engineer's Way Charlottesville, Virginia 22904 Phone: 434-243-3789 tychonievich@virginia.edu My Links Website diff --git a/src/data/compiled_bios/4147.txt b/src/data/compiled_bios/4147.txt new file mode 100644 index 0000000000..315e35a2a7 --- /dev/null +++ b/src/data/compiled_bios/4147.txt @@ -0,0 +1 @@ +Malathi Veeraraghavan Professor, Electrical and Computer Engineeringand Computer Science (by Courtesy) Bio B.S. Indian Institute of Technology, Madras, 1984M.S. Duke University, 1985Ph.D. Duke University, 1988 Malathi Veeraraghavan received her BTech degree from Indian Institute of Technology (Madras) in 1984, and MS and Ph.D. degrees from Duke University in 1985 and 1988, respectively. After a ten-year career at Bell Laboratories, she served on the faculty at Polytechnic University, Brooklyn, New York from 1999-2002, where she won the Jacobs award for excellence in education in 2002. She served as Director of the Computer Engineering Program at U.Va from 2003-2006. Her current research work is on topics in high-speed networking, which includes optical, datacenter, virtual-circuit, and Grid networks, vehicular networks, and future Internet architectures. She holds 30 patents, has over 130 publications and has received six Best paper awards. She served as the Technical Program Committee Co-Ch air for the High-Speed Networking Symposium in IEEE ICC 2013, as Technical Program Committee Chair for IEEE ICC 2002 and Associate Editor for the IEEE/ACM Transactions on Networking. She was General Chair for IEEE Computer Communications Workshop in 2000, and served as an Area Editor for IEEE Communication Surveys. She served as Editor of IEEE ComSoc e-News and as an Associate Editor of the IEEE Transactions on Reliability from 1992-1994. Research Interests Internet of Things Computer Networks Grid/Cloud/High-performance Computing Selected Publications A Dynamic Network Design for High-Speed Enterprise Access Links, in Proc. of IEEE Globecom 2015, San Diego, US, Dec. 2015. Xiaoyu Wang, Malathi Veeraraghavan, Maite Brandt-Pearce, Takahiro Miyazaki, Naoaki Yamanaka, Satoru Okamoto and Ion Popescu. A High-Performance OpenFlow Software Switch, The 2016 IEEE High Performance Switching and Routing (HPSR), pp. 86-92, June 2016. Reza Rahimi, Malathi Veeraraghavan, Yoshihiro Nakajima, Hirokazu Takahashi, Yusuke Nakajima, Satoru Okamoto, Naoaki Yamanaka A Cross-layer Design for Large Transfers in SDNs, International Conference on Ubiquitous and Future Networks (ICUFN), 2016. F. Al-Ali M. Veeraraghavan A Multi-domain SDN for Dynamic Layer-2 Path service. In Proceedings of the Fifth International Workshop on Network-Aware Data Management (NDM 15). S. Tepsuporn, F. Al-Ali, M. Veeraraghavan, X. Ji, B. Cashman, A. J. Ragusa, L. Fowler, C. Guok, T. Lehman, and X. Yang. 2015. Google Scholar Courses Taught Computer Networks From Data to Knowledge Featured Grants & Projects US Ignite: Collaborative Research: Track 1: Industrial Cloud Robotics across Software Defined Networks PI: Malathi Veeraraghavan; Award: 1531065; $424,261.00; Started: August 24, 2015 Co-PIs: Shaun Edwards, SwRI, & Andrea Fumagalli, UTD Currently, industrial robots are cost-effective for repetitive and high-volume tasks such as welding and painting, but not for lower-volume, mixed-part production. The need for robotic part handling for unstructured industrial applications is diverse. In manufactured-goods distribution centers, where multiple bins are presented to an operator, a human is required to handle a range of parts that must be boxed and shipped. In the reclamation and recycling industry, humans sort waste streams of mixed products on conveyor belts. Assembly and kitting operations in manufacturing are termed robotic opportunities but they require a solution for handling many part types in the same work-cell. This project will research and integrate technologies to enable the use of industrial robots for low-volume mixed-part production tasks. The proposed solution will include 3D image sensors and high-speed flexible networking, cloud computing, and industrial robots. The inclusion of cutting-edge new software such as the Robot-Operating System Industrial (ROS-I) and Cloud Computing platforms offer excellent educational opportunities for both undergraduate and graduate students. The software developed in this project will be widely distributed to enable further innovations by other teams. The project objective is to develop cloud robotics applications that leverage high-performance computing and high-speed software-defined networks (SDN). Specifically, the target applications combine big-data analytics of sensor data (of the type collected from factory floors) with the control of industrial robots for low-volume, mixed-part production tasks. Cloud computers located at a remote facility relative to the factory floor on which industrial robots operate can be used for compute-intensive applications such as object identification from 3D sensor data, and grasp planning for the robots to perform object manipulation. The project methods will consist of (i) integrating ROS-I components and developing new software as required to transmit the 3D sensor data to remote computers, running the object identification and grasp planning applications, and returning robot instructions to the original site, (ii) running this software on geographically distributed compute clouds, (iii) collecting measurements and enhancing the software to meet real-time delay requirements. The technical challenge lies in meeting these stringent real-time requirements. For example, high-speed networks with the flexibility to connect arbitrary factory floors and datacenters are needed to transfer the 3D sensor data quickly to the remote cloud computers and to deliver the computed robot instructions(hence, SDN). Contact Information Malathi Veeraraghavan Electrical and Computer Engineering, Associate Director, Data Infrastructure and Services, Data Science Institute (DSI), Dept. of Computer Science, Courtesy Appointment Office: Rice 407 Lab: Rice 542 351 McCormick Rd. Charlottesville, Virginia 22904 Phone: 434-982-2208 Fax: Fax: 434-924-8818 mv5g@virginia.edu My Links Website High-Speed Networks (HSN) Lab Link Lab diff --git a/src/data/compiled_bios/4148.txt b/src/data/compiled_bios/4148.txt new file mode 100644 index 0000000000..4b5f401af9 --- /dev/null +++ b/src/data/compiled_bios/4148.txt @@ -0,0 +1 @@ +Ashish Venkat Assistant ProfessorDepartment of Computer Science Bio PhD in Computer Science, University of California, San Diego, 2018 Awards NSF CRII Award 2018 Research Interests Computer Architecture Compilers Computer Security Selected Publications Context-Sensitive Fencing: Securing Speculative Execution via Microcode Customization. In Proceedings of the 24th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS 2019), April, 2019. Mohammadkazem Taram, Ashish Venkat, and Dean M. Tullsen, Composite-ISA Cores: Enabling Multi-ISA Heterogeneity using a Single ISA. In Proceedings of the 25th IEEE International Symposium on High Performance Computer Architecture (HPCA 2019), February, 2019. Ashish Venkat, Harsha Basavaraj, Dean M. Tullsen "Mobilizing the Micro-Ops: Exploiting Context-Sensitive Decoding for Security and Energy Efficiency, " In Proceedings of the 45th International Symposium on Computer Architecture (ISCA 2018), Los Angeles, CA, June 2018. Mohammadkazem Taram, Ashish Venkat, and Dean M. Tullsen "Reliability-Aware Data Placement for Heterogeneous Memory Architecture." In Proceedings of the 24th IEEE International Symposium on High Performance Computer Architecture (HPCA 2018), Vienna, Austria, February 2018 Manish Gupta, Vilas Sridharan, David Roberts, Andreas Prodromou, Ashish Venkat, Dean M. Tullsen, and Rajesh Gupta HIPStR: Heterogeneous-ISA Program State Relocation. In Proceedings of the 21st International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS 2016), Atlanta, GA, April 2016. Ashish Venkat, Sriskanda Shamasunder, Hovav Shacham, and Dean M. Tullsen. Harnessing ISA Diversity: Design of a Heterogeneous-ISA Chip Multiprocessor. In Proceedings of the 41st International Symposium on Computer Architecture (ISCA 2014), Minneapolis, MN, June 2014 Ashish Venkat and Dean M. Tullsen. Execution Migration in a Heterogeneous-ISA Chip Multiprocessor. In Proceesings of the 17th International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS 2012), London, UK, March, 2012. Matthew DeVuyst, Ashish Venkat, and Dean M. Tullsen Google Scholar Courses Taught CS 6501 - Security-Aware Processor Architecture Design Fall 2018 Contact Information Ashish Venkat Computer Science Rice 312 PO Box 400740 Charlottesville, Virginia 22904 Phone: 434-243-5219 Fax: 434-982-2214 @virginia.edu My Links Website diff --git a/src/data/compiled_bios/4149.txt b/src/data/compiled_bios/4149.txt new file mode 100644 index 0000000000..477ae9d5cd --- /dev/null +++ b/src/data/compiled_bios/4149.txt @@ -0,0 +1 @@ +Anil Vullikanti Professor, Computer ScienceUniversity of Virginia Biocomplexity Institute Bio Indian Institute of Science, Bangalore, India, 1999 Awards College of Engineering Faculty Fellow Award, Virginia Tech 2017 Excellence in Research Award, Biocomplexity Institute of Virginia Tech 2017 DOE Early Career Award 2010 NSF CAREER Award 2009 Selected Publications "Modeling disease outbreaks in realistic urban social networks," Nature, 429, pp. 180-184 (2004). Stephen Eubank, Hasan Guclu, V.S. Anil Kumar, Madhav Marathe, Aravind Srinivasan, Zoltan Toroczkai and Nan Wang. "Algorithmic Aspects of Capacity in Wireless Networks," Proc. ACM SIGMETRICS, pp. 133-144, 33(1), 2005 V.S. Anil Kumar, M. V. Marathe, S. Parthasarathy and A. Srinivasan. "An Efficient and Scalable Algorithmic Method for Generating Large-Scale Random Graphs," Proc. of the International Conference for High Performance Computing, Networking, Storage and Analysis (S Maksudul Alam, Maleq Khan, Anil Vullikanti and Madhav Marathe. "A unified approach to scheduling on Unrelated Parallel Machines," Journal of the Association of Computing Machinery (JACM), 56(5), article 28, 2009 V.S. Anil Kumar, Madhav V. Marathe, Srinivasan Parthasarathy and Aravind Srinivasan. "Near-Optimal and Practical Algorithms for Graph Scan Statistics," Proc. SIAM Data Mining (SDM), pp. 624632, 2017. doi: 10.1137/1.9781611974973.70 Jose Cadena, Feng Chen and Anil Vullikanti. Google Scholar Contact Information Anil Vullikanti Computer Science Rice Hall, Rm. 526 Biocomplexity, TBD 85 Engineer's Way Charlottesville, Virginia 22904 asv9v@virginia.edu diff --git a/src/data/compiled_bios/415.txt b/src/data/compiled_bios/415.txt new file mode 100644 index 0000000000..035289fae1 --- /dev/null +++ b/src/data/compiled_bios/415.txt @@ -0,0 +1 @@ +Name: Zalila-Wenkstern, Rym:: Position: AssociateProfessor:: Degrees: Ph.D., Computer Science, University of Ottawa, Canada; Doctorat de Spcialit, Computer Science, University of Tunis, Tunisia; Engineering degree, Computer Engineering, University of Tunis, Tunisia; Bachelors degree, Math, Physics and Chemistry, University of Tunis, Tunisia; Major Honors and Awards: Computer Science Excellence in Teaching Award, Erik Jonsson School of Engineering and Computer Science, The University of Texas at Dallas Awarded in 2015; Best Demo Award DIVAs 4.0: A Large Scale Multi-Agent Based Simulation Framework from the Proceedings of the ACM International Conference on Autonomous Agent and Multi-Agent System (AAMAS2013); Best Paper AwardAgent-Based Intelligent Traffic Systems from the Proceedings of theAgent-Directed Simulation Symposium (ADS2012) Awarded in 2012; Best Overall Paper Award Agent-Based Intelligent Traffic Systems from the Proceedings of theSpring Simulation Multi-Conference (SpringSim2012) Awarded in 2012; Research Interests: Software Engineering; Multi-Agent Systems; Autonomic Systems; Research Lab: The Multi-Agent & Visualization Systems Lab (MAVS) at the University of Texas at Dallas.; diff --git a/src/data/compiled_bios/4150.txt b/src/data/compiled_bios/4150.txt new file mode 100644 index 0000000000..180965e292 --- /dev/null +++ b/src/data/compiled_bios/4150.txt @@ -0,0 +1 @@ +Hongning Wang Assistant Professor, Computer Science Bio B.S. Tsinghua University, China, 2007M.S. Tsinghua University, China, 2009Ph.D. University of Illinois at Urbana and Champaign, 2014 Hongning Wang received his Ph.D. from the Department of Computer Science at University of Illinois at Champaign-Urbana in 2014, and joined University of Virginia as Assistant Professor since then. He is the recipient of National Science Foundation CAREER Award, 2014 Yahoo ACE (Academic Career Enhancement) Award, Google 2012 PhD Fellowship in Search and Information Retrieval, and 2012 Yahoo! Key Scientific Challenges in Web Information Management. He has served on program committees for several major conferences such as WWW, WSDM, ICML, ECML/PKDD, CIKM, and ECIR, and reviewed for multiple journals, including IEEE TKDE, ACM TOIS, Neurocomputing and BMC Bioinformatics. Awards NSF CAREER Award 2016 Yahoo Academic Career Enhancement Award 2014 Research Interests Machine Learning, Text Mining, Information Retrieval Computational Statistics and Simulation/Statistical Modeling Stochastic Modeling Machine Learning Selected Publications "Contextual Bandits in a Collaborative Environment." In Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, pp. 529-538. ACM, 2016. Qingyun Wu, Huazheng Wang, Quanquan Gu, and Hongning Wang. "User modeling in search logs via a nonparametric bayesian approach." In Proceedings of the 7th ACM international conference on Web search and data mining, pp. 203-212. ACM, 2014. Hongning Wang, ChengXiang Zhai, Feng Liang, Anlei Dong, and Yi Chang. Learning to Extract Cross-Session Search Tasks. The 23rd International World-Wide Web Conference, p1353-1364, 2013. Hongning Wang, Yang Song, Ming-Wei Chang, Xiaodong He, Ryen White and Wei Chu. Personalized Ranking Model Adaptation for Web Search. The 36th Annual ACM SIGIR Conference, p323-332, 2013. Hongning Wang, Xiaodong He, Ming-Wei Chang, Yang Song, Ryen White and Wei Chu. Latent Aspect Rating Analysis on Review Text Data: A Rating Regression Approach. The 16th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, p783-792, 2010. Hongning Wang, Yue Lu and Chengxiang Zhai. Google Scholar Featured Grants & Projects CAREER Human-Centric Knowledge Discovery and Decision Optimization III: Small Collaborative Learning with Incomplete and Noisy Knowledge CPS: TTP Option: Breakthrough: Collaborative Sensing: An Approach for Immediately Scalable Sensing in Buildings Contact Information Hongning Wang Computer Science Office: Rice Hall 408 85 Engineer's Way Charlottesville, Virginia 22094 Phone: 434-982-2228 hw5x@virginia.edu Research Summary My Links Website Human-Centric Data Mining Group diff --git a/src/data/compiled_bios/4151.txt b/src/data/compiled_bios/4151.txt new file mode 100644 index 0000000000..3c497e12d1 --- /dev/null +++ b/src/data/compiled_bios/4151.txt @@ -0,0 +1 @@ +Alfred C. Weaver Professor of Computer ScienceChair, Faculty Senate (2017-18)Founding Director, Applied Research Institute Bio B.S. University of Tennessee, 1971M.S. University of Illinois at Urbana-Champaign, 1973Ph.D. University of Illinois at Urbana-Champaign, 1976 "Developed the Xpress Transport Protocol that became a Military Standard for the U.S. Navy. Teach eCommerce and entrepreneurship." Alfred C. Weaver, Professor of Computer Science Alf Weaver received his Ph.D. in Computer Science from the University of Illinois in 1976. He joined the University of Virginia in 1977 and is now Professor of Computer Science, Chair of the UVA Faculty Senate, and Founding Director of UVAs Applied Research Institute, where he is working with projects related to national security. His research group helped develop the Xpress Transport Protocol that became a Military Standard and now operates on ships, helicopters and airplanes. He has founded five companies, the most successful of which was sold to Comcast. He was an ACM National Lecturer, gave keynote speeches throughout the world, held the Lucian Carr III endowed chair, is a Fellow of the IEEE, He is a Life Member and past-President of the IEEE Industrial Applications Society. He has supervised 137 funded research projects, advised 69 Ph.D. and masters students, and co-authored two books, 14 book chapters, and >170 refereed journal and conference publications. Awards Fellow of the IEEE 1996 IEEE Dr. Ing. Eugene Mittelmann Research Achievement Award 2001 IEEE Anthony J. Hornfeck Service Award 1992 Research Interests Electronic commerce Cybersecurity Computer Networks 3D printing Crowdsourcing Automated library search Selected Publications "Crowdsourcing for Emergency Response," Frontiers in Education: Computer Science and Computer Engineering, Las Vega, NV, July 25-28, 2016. Liliya I. Besaleva and Alfred C. Weaver "Applications of Social Networks and Crowdsourcing for Disaster Management Improvement," IEEE Computer, May 2016. Liliya I. Besaleva and Alfred C. Weaver "Crowdsourcing for Emergency Response," Academy of Science and Engineering 8th International Conference on Social Computing (SocialCom'15), Stanford University, Stanford, CA, August 18-20, 2015. Liliya I. Besaleva and Alfred C. Weaver "Social Networks to the Rescue! The Power of Crowdsourced Data in Emergency Response," International Conference on Health Informatics and Medical Systems," Las Vegas, NV, July 27-30, 2015. Liliya I Besaleva and Alfred C. Weaver "An Empirical Performance Evaluation of Relational Keyword Search Techniques," IEEE Transactions on Knowledge and Data Engineering, vol. 26, issue 1, January 2014, pp. 30-42. Joel Coffman and Alfred C. Weaver House of Mirrors: Surveillance and Transparency, Routledge Studies in Science, Technology and Society, 2014. Deborah Johnson, Priscilla Regan, Katherine Wesson, Siva Vaidhyanathan, Kent Wayland, Roberto Armongol, and Alfred C. Weaver Google Scholar Courses Taught Computer Science 101 - Introduction to C++ Program Design Computer Science 120 - Introduction to Business Computing Computer Science 270 - Pascal Programming Computer Science 352 - Advanced Programming and Data Structures Computer Science 361 - Computer Organization and Assembly Language Programming Computer Science 384 - Microcomputer Laboratory Computer Science 453 - Electronic Commerce Technologies Computer Science 454 - Operating Systems Computer Science 484 - Digital Computer Systems Laboratory Computer Science 457 - Computer Networks Computer Science 551 - Electronic Commerce Computer Science 551 - Federated Trust Systems Computer Science 551 - Trustworthy Computing Computer Science 584 - Microcomputer Systems Design Computer Science 651 - Federated Trust Systems Computer Science 651 - Trustworthy Computing Computer Science 656 - Operating Systems Computer Science 755 - Operating Systems Computer Science 757 - Computer Networks Computer Science 851 - Local Area Networks Computer Science 851 - Advanced Computer Networks Computer Science 4753 Electronic Commerce Computer Science 2190 Research Seminar Computer Science 5501 Electronic Commerce Computer Science 6190 Research Seminar Computer Science 5501 Special Topics in Computer Science (eCommerce) Computer Science 6501- Special Topics in Computer Science (eCommerce) ENGR 390 - Electronic Commerce (Rodman Scholars Seminar Series) Featured Grants & Projects Secure Mobile Computing Made a portable device erase its sensitive data when it becomes separated from its owner Crowdsourcing Use the crowd to locate trouble spots during a natural disaster Scientometric Analysis Software to scour electronic libraries and locate scientific articles of partcular interest 3D Printing Can we make a 3D printed weapon that an airport scanner cannot detect? Contact Information Alfred C. Weaver Computer Science Office: Rice Hall room 506 Box 400740 Charlottesville, Virginia 22904 Phone: 434-982-2201 Fax: Fax: 434-982-2214 weaver@virginia.edu Research Summary diff --git a/src/data/compiled_bios/4152.txt b/src/data/compiled_bios/4152.txt new file mode 100644 index 0000000000..5852132bf6 --- /dev/null +++ b/src/data/compiled_bios/4152.txt @@ -0,0 +1 @@ +Wes Weimer Associate Professor, Computer Science (by Courtesy) Bio UC Berkeley, 2005 Westley Weimer was a faculty member at the Department of Computer Science from 2006 - 2017 and now holds a courtesy appointment. Westley Weimer received his Ph.D. from UC Berkeley in 2005 where he worked on programming languages and reliability with his advisor George Necula. He has been on the faculty of the University of Virignia department of Computer Science in 2006. Research Interests Automated program repair Static and dynamic analyses for software quality and reliability Contact Information Wes Weimer Computer Science wrw6y@virginia.edu diff --git a/src/data/compiled_bios/4153.txt b/src/data/compiled_bios/4153.txt new file mode 100644 index 0000000000..ed0ee2d71d --- /dev/null +++ b/src/data/compiled_bios/4153.txt @@ -0,0 +1 @@ +Kamin Whitehouse Commonwealth Associate Professor(currently on leave) Bio B.S. Rutgers School of Engineering, 1999B.A. Rutgers College, 1999M.S. University of California, Berkeley, 2003Ph.D. University of California, 2006 "My research lab is developing new techniques for sensing and control of computer systems in the physical world." Kamin Whitehouse, Commonwealth Associate Professor Kamin Whitehouse's research lab develops new technologies at the frontier of Cyber-Physical Systems (CPS), including RF sensing, safety-critical wireless communication, wearable sensors, occupancy sensing, smart buildings, and coordinated control of distributed systems and autonomous drones. His team develops techniques at the intersection of signal processing, control theory, and machine learning. The technologies created by these projects have been downloaded 50,000+ times, have been used by over half a dozen companies to create new products, and are currently running in millions of embedded devices around the world. He has patents granted and pending in a range of CPS techniques. Prof. Whitehouse is serving as Director of the Link Lab, whose mission is to enhance excellence in CPS at the University of Virginia. He is a past TPC chair for ACM BuildSys, ACM SenSys, ACM/IEEE IPSN, and EWSN and serves as associate editor of ACM Transactions on Sensor Networks (TOSN) and The P of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT). He earned a B.A. in Philosophy and a B.S. in Electrical Engineering and Cognitive Science from Rutgers University. He earned M.S. and Ph.D. degrees in Computer Science from UC Berkeley. Awards BuildSys16 Audience Choice Award Nov 2016 BuildSys16 Best Paper Runner Up Nov 2016 BuildSys16 Best Demo Award Nov 2016 BuildSys16 Best Presentation Award Nov 2016 MobiSys16 Best Paper Award Jun 2016 BuildSys15 Best Paper Runner Up Nov 2015 BuildSys15 Best Paper Runner Up Nov 2015 BuildSys14 Best Talk Award Nov 2014 Commonwealth Endowed Chair Aug 2013 IPSN13 Best Paper Runner Up Apr 2013 NSF CAREER Award Jan 2008 UVA Excellence in Diversity fellowship award Sep 2006 Siebel fellowship award Sep 2005 GOF two-year fellowship award Sep 2003 NSF three-year fellowship (monetary award not accepted) Sep 2000 NDSEG three-year fellowship award Sep 2000 Research Interests Internet of Things Autonomy and Controls/Control Systems Smart Buildings/Cities Computer Networks Selected Publications High-dimensional Time Series Clustering via Cross-Predictability. The 20th International Conference on Artificial Intelligence and Statistics (AISTATS'17). Apr 20-22, 2017. Fort Lauderdale, Florida, USA. Dezhi Hong, Quanquan Gu and Kamin Whitehouse. Matrix Factorisation for Scalable Energy Breakdown. In Proceedings of the 31st AAAI Conference on Artificial Intelligence (AAAI'17). San Francisco, California, USA. February 4-9, 2017. Nipun Batra, Hongning Wang, Amarjeet Singh, Kamin Whitehouse. How does eco-coaching help to save energy? assessing a recommendation system for energy-efficient thermostat scheduling. Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp), 2016. Rayoung Yang, Devika Pisharoty, Soodeh Montazeri, Kamin Whitehouse, Mark W. Newman. Gemello: Creating a Detailed Energy Breakdown from Just the Monthly Electricity Bill. The 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2016. Nipun Batra, Amarjeet Singh, Kamin Whitehouse. Reactive Control of Autonomous Drones. The 14th Annual International Conference on Mobile Systems, Applications, and Services (MobiSys), 2016. Endri Bregu, Nicola Casamassima, Daniel Cantoni, Luca Mottola, Kamin Whitehouse. Clustering-based Active Learning on Sensor Type Classification in Buildings. The 24th ACM International Conference on Information and Knowledge Management (CIKM'15). October 19-23, 2015. Melbourne, Australia. Dezhi Hong, Hongning Wang, Kamin Whitehouse. Object Hallmarks: Identifying Object Users using Wearable Wrist Sensors. The 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp'15). September 7-11, 2015. Osaka, Japan. Juhi Ranjan, Kamin Whitehouse. How Hot is Piping Hot? Lower Energy Consumption with Smarter Hot Water Delivery. The 14th ACM/IEEE Conference on Information Processing in Sensor Networks (IPSN'15). April 13-17, 2015, Seattle, WA. Yong Sun, Anindya Prodhan, Erin Griffiths, and Kamin Whitehouse. Team-level Programming of Drone Sensor Networks. In the Proceedings of the 12th ACM Conference on Embedded Networked Sensor Systems (SenSys 2014). November 3-5, 2014. Memphis, USA. Luca Mottola, Mattia Moretta, Kamin Whitehouse, and Carlo Ghezzi. An RF Doormat for Tracking Peoples Room Locations. To Appear in The 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp). September 8-12, 2013. Zurich, Switzerland. Juhi Ranjan and Kamin Whitehouse. FixtureFinder: Discovering the Existence of Electrical and Water Fixtures. To Appear in The 12th ACM/IEEE Conference on Information Processing in Sensor Networks (IPSN'13). April 8-11, 2013, Philadelphia, PA. Vijay Srinivasan, Jack Stankovic, Kamin Whitehouse. Doorjamb: Unobtrusive Room-level Tracking of People in Homes using Doorway Sensors. The 10th ACM Conference on Embedded Networked Sensing Systems (SenSys'12). November 7-9, 2012, Toronto, Canada. Timothy Hnat, Erin Griffiths, Raymond Dawson, and Kamin Whitehouse Being SMART About Failures: Assessing Repairs in Smart Homes. The 14th ACM International Conference on Ubiquitous Computing (UbiComp'12). September 5-8, 2012, Pittsburgh, PA. Krasimira Kapitanova, Enamul Hoque, John A. Stankovic, Sang H. Son, and Kamin Whitehouse. Smart Blueprints: Automatically Generated Maps of Homes and the Devices within Them. To appear in The 10th Conference on Pervasive Computing (Pervasive'12). June 18-22, 2012, Newcastle, UK. (ppt) Jiakang Lu and Kamin Whitehouse. SunCast: Fine-grained Prediction of Natural Sunlight Levels for Improved Daylight Harvesting. The 11th ACM Conference on Information Processing in Sensor Networks (IPSN'12). April 17-19, 2012, Beijing, China. Jiakang Lu and Kamin Whitehouse. The Hitchhiker's Guide to Successful Residential Sensing Deployments. The 9th ACM Conference on Embedded Networked Sensing Systems (SenSys). November 2-4, 2011, Seattle, WA. Timothy Hnat, Vijay Srinivasan, Jiakang Lu, Tamim Sookoor, Raymond Dawson, John Stankovic, Kamin Whitehouse. The Smart Thermostat: Using Occupancy Sensors to Save Energy in Homes. The 8th ACM Conference on Embedded Networked Sensing Systems (SenSys). November 3-5, 2010, Zurich, Switzerland. Jiakang Lu, Tamim Sookoor, Vijay Srinivasan, Gao Ge, Brian Holben, John Stankovic, Eric Field, Kamin Whitehouse. Automatic and Robust Breadcrumb System Deployment for Indoor Firefighter Applications. The 8th Annual International Conference on Mobile Systems, Applications and Services (MobiSys). June 15-18, 2010, San Francisco, CA, USA. Hengchang Liu, Jingyuan Li, Zhiheng Xie, Shan Lin, Kamin Whitehouse, John A. Stankovic, David Siu. Run Time Assurance of Application-level Requirements in Wireless Sensor Networks. The 9th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN '10). Stockholm, Sweden, April 12-16, 2010. Yafeng Wu, Krasimira Kapitanova, Jingyuan Li, John A. Stankovic, Sang H. Son, and Kamin Whitehouse. Google Scholar Courses Taught CS/ECE 4457 Computer Networks CS 4501 Internet of Things Featured Grants & Projects Energy-efficient Smart Buildings Buildings account for 40% of the total US energy budget, the largest energy consuming sector in the country, and many government and public organizations agree that a national grand challenge is to achieve a 70% reduction in building energy by 2030. However, energy retrofits are extremely costly. We are developing computational alternatives to conventional retrofits that use a combination of embedded sensing, intelligence, and control to save energy at 10x to 100x lower cost than conventional approaches. A cornerstone of this work is new technology to identify and track individual people, recognize common activity patterns, and detect object usage. These sensing technologies allow buildings to provide heating and cooling, lighting, and water heating services that respond to the dynamics of occupant presence, activities, and goals. Our current data predicts that, if they were deployed in every home, these techniques would reduce total US energy consumption by almost 3%, more than the energy used by the entire commercial airline industry. Network Tasking Many forecast that the Internet of Things will grow to over 1 trillion objects in the next two decades. However, people cannot practically coordinate the 1000s of connected objects they will encounter every day to help with their daily tasks. Networks of coordinating devices are too complex to operate with conventional human controls such as dials, switches and knobs. We are creating new tools and techniques to dynamically compose objects in a goal-driven fashion, adapting in real-time to changes in either network resources or high-level objectives. We have demonstrated these techniques in both static networks and networks that include aerial drones. In addition to goal-oriented tasking, we have shown that these tools enable system-level analysis, run-time visibility and debugging, and testing and verification, even in the face of severe limitations on energy, memory, and bandwidth. Contact Information Kamin Whitehouse Computer Science 85 Engineer's Way Charlottesville, Virginia 22904 Phone: 434-982-2211 Fax: Fax:434-982-2214 whitehouse@virginia.edu Research Summary My Links Website Link Lab diff --git a/src/data/compiled_bios/4154.txt b/src/data/compiled_bios/4154.txt new file mode 100644 index 0000000000..1c4ad9e5a5 --- /dev/null +++ b/src/data/compiled_bios/4154.txt @@ -0,0 +1 @@ +David Wu Assistant ProfessorComputer Science Bio Ph.D. Stanford University, 2018M.S. Stanford University, 2013B.S. Stanford University, 2013 David Wu received his PhD in Computer Science from Stanford University in 2018 and will be joining the University of Virginia as an Assistant Professor starting January 2019. Awards Best Young-Researcher Paper Award CRYPTO 2018 Best Young-Researcher Paper Award CRYPTO 2017 Outstanding Paper Award ESORICS 2016 Research Interests Applied and theoretical cryptography Computer security Contact Information David Wu Computer Science dwu4@virginia.edu My Links Website Google Scholar diff --git a/src/data/compiled_bios/4155.txt b/src/data/compiled_bios/4155.txt new file mode 100644 index 0000000000..6d5bd60316 --- /dev/null +++ b/src/data/compiled_bios/4155.txt @@ -0,0 +1 @@ +William Wulf AT&T Professor of Computer Science and University Professor (Emeritus) Bio University of Virginia, PhD (1968) "I live in mortal fear that someday they'll catch on to the fact that they are paying me to have all this fun." Bill Wulf received the first Computer Science Ph.D. ever awarded at the University of Virginia in 1968. He then joined Carnegie-Mellon University as Assistant Professor of Computer Science, becoming Associate Professor in 1973 and Professor in 1975. In 1981 he left Carnegie-Mellon and founded Tartan Laboratories and served as Chairman and Chief Executive Officer until 1988. In 1988-1990 he was Assistant Director of the National Science Foundation. In 1990 he returned to the University of Virginia as AT&T Professor and University Professor. Bill Wulf is a Fellow of the National Academy of Engineering, a Fellow of ACM, a Fellow of the IEEE, and a member of the American Academy of Arts and Sciences. In 1997 he was elected President of the National Academy of Engineering, which operates under a congressional charter and presidential executive orders that call on it to provide advice to the government on issues of science and engineering. He has directed over 25 Ph.D. theses and is the author or co-author of three books, two patents and over 100 papers. Research Interests National science policy Architecture Security Hardware-software codesign Contact Information William Wulf Computer Science Rice Hall 85 Engineer's Way Charlottesville, Virginia 22904 Phone: 434.982.2200 Fax: 434.982.2214 wulf@virginia.edu diff --git a/src/data/compiled_bios/4156.txt b/src/data/compiled_bios/4156.txt new file mode 100644 index 0000000000..ae79d4fdf7 --- /dev/null +++ b/src/data/compiled_bios/4156.txt @@ -0,0 +1 @@ +Haifeng Xu Assistant ProfessorComputer Science (Starting August 2019) Bio Haifeng Xu received his PhD from the University of Southern California in 2018 and will be joining the Department of Computer Science in August 2019 as the Alan Batson Assistant Professor. Research Interests Algorithms and Optimization Artificial Intelligence Computational Game Theory Machine Learning Contact Information Haifeng Xu Computer Science 85 Engineer's Way Charlottesville, Virginia 22904 hx4ad@virginia.edu My Links Personal Website diff --git a/src/data/compiled_bios/4157.txt b/src/data/compiled_bios/4157.txt new file mode 100644 index 0000000000..a771146874 --- /dev/null +++ b/src/data/compiled_bios/4157.txt @@ -0,0 +1 @@ +Aidong Zhang Professor, Computer Science and Biomedical Engineering Bio PhD, Purdue 1994 Aidong Zhang is a William Wulf Faculty Fellow and Professor of Computer Science and Biomedical Engineering in the School of Engineering and Applied Sciences at University of Virginia. She is also affiliated with the Data Science Institute at University of Virginia. Her research interests focus on data mining/data science, machine learning, bioinformatics and health informatics. Awards ACM Fellow 2017 SUNY Distinguished Professor 2014 UB Distinguished Professor 2012 IEEE Fellow 2009 National Science Foundation CAREER Award 1998 Research Interests Data Mining Data Science Machine Learning Bioinformatics Health Informatics Selected Publications Semi-supervised Few-shot Learning for Disease Type Prediction, the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), Honolulu, Hawaii, January 27 February 1, 2019. Tianle Ma and Aidong Zhang Representation Learning for Treatment Effect Estimation from Observational Data, Thirty-second Conference on Neural Information Processing Systems (NIPS2018), Montral, Canada, December 3-8, 2018. Liuyi Yao, Sheng Li, Yaliang Li, Mengdi Huai, Jing Gao, and Aidong Zhang Concepts-Bridges: Uncovering Conceptual Bridges Based on Biomedical Concept Evolution, Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2018), London, UK, August 19-23, 2018. Kishlay Jha, Guangxu Xun, Yaqing Wang, Vishrawas Gopalakrishnan, and Aidong Zhang Metric Learning from Probabilistic Labels, Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2018), London, UK, August 19-23, 2018. Mengdi Huai, Chenglin Miao, Yaliang Li, Qiuling Suo, Lu Su, and Aidong Zhang Multi-task Sparse Metric Learning on Measuring Patient Similarity Progression, the 2018 IEEE International Conference on Data Mining (ICDM'18), Singapore, November 17-20, 2018. Qiuling Suo, Weida Zhong, Fenglong Ma, Ye Yuan, Mengdi Huai, and Aidong Zhang MuVAN: A Multi-view Attention Network for Multivariate Temporal Data, the 2018 IEEE International Conference on Data Mining (ICDM'18), Singapore, November 17-20, 2018. Ye Yuan, Guangxu Xun, Fenglong Ma, Yaqing Wang, Nan Du, Kebin Jia, Lu Su, and Aidong Zhang Google Scholar Contact Information Aidong Zhang Computer Science Office: Rice Hall 509 85 Engineer's Way Charlottesville, Virginia 22904 Phone: 434-243-4449 Fax: 434-982-2214 aidong@virginia.edu My Links Homepage Zhang's Research Group diff --git a/src/data/compiled_bios/4158.txt b/src/data/compiled_bios/4158.txt new file mode 100644 index 0000000000..86d892bf64 --- /dev/null +++ b/src/data/compiled_bios/4158.txt @@ -0,0 +1 @@ +Shivani's research interests include foundational questions in machine learning, applications of machine learning in the life sciences, and connections between machine learning and other disciplines such as economics, operations research, and psychology. Prior to Penn, she was the 2015-16 William and Flora Hewlett Foundation Fellow at the Radcliffe Institute for Advanced Study at Harvard University. She has previously been Assistant Professor and Ramanujan Fellow at the Indian Institute of Science, where she led the Machine Learning and Learning Theory Group and co-directed the Indo-US Joint Center for Advanced Research in Machine Learning, Game Theory and Optimization, and has taught as a postdoctoral lecturer at MIT. diff --git a/src/data/compiled_bios/4159.txt b/src/data/compiled_bios/4159.txt new file mode 100644 index 0000000000..e233fec4b4 --- /dev/null +++ b/src/data/compiled_bios/4159.txt @@ -0,0 +1 @@ +Rajeev's research is aimed at improving technology for design and analysis of reliable software systems. His team is interested in developing specification logics for formalizing correctness requirements, modeling notations for constructing modular descriptions of complex systems, and verification algorithms for checking systems against requirements. Current projects include software synthesis, programming abstractions for querying streaming data, and finding performance bugs in code for parallel hardware architectures. diff --git a/src/data/compiled_bios/416.txt b/src/data/compiled_bios/416.txt new file mode 100644 index 0000000000..b00697204c --- /dev/null +++ b/src/data/compiled_bios/416.txt @@ -0,0 +1 @@ +Name: Zhang, Kang:: Position: Professor (CS & CE):: Degrees: E.M.B.A., University of Texas at Dallas, 2011; Ph.D., Computer Science, University of Brighton, UK, 1990; B.Eng., Computer Engineering, University of Electronic Science and Technology of China, Chengdu, China, 1982; diff --git a/src/data/compiled_bios/4160.txt b/src/data/compiled_bios/4160.txt new file mode 100644 index 0000000000..d09489afff --- /dev/null +++ b/src/data/compiled_bios/4160.txt @@ -0,0 +1 @@ +Sebastian's research focuses on the design and implementation of systems and network protocols that mathematically guarantee privacy and integrity properties under adversarial settings. He is particularly interested in developing the next generation of anonymous and censorship-resistant communication services, and in designing tools to help programmers build practical applications that incorporate security and privacy features as first class citizens. His recent projects make powerful cryptographic primitives (private information retrieval, zk-SNARKs) more accessible to system designers by increasing these primitives expressiveness and reducing their costs. diff --git a/src/data/compiled_bios/4161.txt b/src/data/compiled_bios/4161.txt new file mode 100644 index 0000000000..60455ba22f --- /dev/null +++ b/src/data/compiled_bios/4161.txt @@ -0,0 +1 @@ +As director of the Center for Human Modeling and Simulation, Norm investigates computer graphics and artificial intelligence techniques and applications for embodied agents, virtual humans, and human-computer interaction. His major research directions include developing behavior-based animation of human movement for individuals and groups, constructing a parameterized action representation for real-time simulation and animation, and studying the relationship among human movement, natural language, and communication. Norm's crowd and populace simulation research incorporates environmental context and animates actors with roles and stochastic, scheduled, reactive, and opportunistic behaviors. diff --git a/src/data/compiled_bios/4162.txt b/src/data/compiled_bios/4162.txt new file mode 100644 index 0000000000..33e7e937b9 --- /dev/null +++ b/src/data/compiled_bios/4162.txt @@ -0,0 +1 @@ +Osbert Bastani is broadly interested in machine learning and programming languages research. Recently, he has been working on developing algorithms for ensuring correctness of machine learning models. These models are increasingly used in real world systems where failures can be catastrophic, such as autonomous vehicles, medical diagnosis, and legal decision making. diff --git a/src/data/compiled_bios/4163.txt b/src/data/compiled_bios/4163.txt new file mode 100644 index 0000000000..6119f21eab --- /dev/null +++ b/src/data/compiled_bios/4163.txt @@ -0,0 +1 @@ +Modern approaches to machine translation, like those used in Google's online translation system, are data-driven. Statistical translation models are trained using bilingual parallel texts, which consist of sentences in one language paired with their translation into another language. Translation dictionaries and their associated probabilities are extracted from human-translated parallel texts, and are then used as the basic building blocks in the automatic translation systems. These data-driven methods have been shown to be extremely successful for translating languages which have large bitexts. Chris's research focuses on extending these methods to a much wider range of the world's languages. His work examines: (1) improving the underlying translation models through the incorporation of rich syntactic models, (2) using crowdsourcing to translate large volumes of text at low cost, achieving professional level translation quality using non-professional translators, and (3) exploring new techniques for learning translation without bilingual training data, instead using distributional properties across languages that can be observed in large collections monolingual texts. Additionally, Chris has also made contributions to the classic AI problem of understanding language. His approach to the problem of natural language understanding uses the data and methods from translation. In particular, he has shown how it is possible to automatically learn paraphrases and other meaning-preserving English transformations using bilingual data. He and his students are exploring how paraphrases can be used to recognize that two sentences share the same meaning, even when they have no words in common like in "Riots in Denmark were sparked by 12 editorial cartoons that were offensive to Muhammad" and "Twelve illustrations insulting the prophet caused unrest". diff --git a/src/data/compiled_bios/4164.txt b/src/data/compiled_bios/4164.txt new file mode 100644 index 0000000000..d4df13734f --- /dev/null +++ b/src/data/compiled_bios/4164.txt @@ -0,0 +1 @@ +David Crosbie focuses on Blockchain, Cryptoassets, and Cryptocurrencies. He co-teaches a cross-discipline course on this topic and is currently creating two online Coursera courses - one for a general audience, and the second as part of the online masters in computer science (MCIT) focused on blockchain and applied cryptography. He is actively involved in nurturing student involvement in this space. He has helped grow the Penn Blockchain club from zero into the second largest blockchain club in the world with over 650 active students - a major annual conference, student-run classes, weekly guest speakers, and an excellent flow of startups, patents, and students hired into this industry. His academic research interests are focused on blockchain scaling, security, and fine grain privacy. David has a MA in Engineering Science from Oxford University and an MBA from INSEAD in France. diff --git a/src/data/compiled_bios/4165.txt b/src/data/compiled_bios/4165.txt new file mode 100644 index 0000000000..c5c7b3a92c --- /dev/null +++ b/src/data/compiled_bios/4165.txt @@ -0,0 +1 @@ +Kostas' research interests are in computer vision and robotic perception. His research addresses challenges in the perception of motion and space, such as the geometric design of cameras, and the interplay of geometry and appearance in perception tasks. Kostas's research gives solutions to perceptual tasks such as panoramic vision, localization, perception of self-motion, large-scale mapping, visual location recognition, 3-D object recognition, and vision-based flocking. Applications of his research involve robot navigation, tele-immersion, and image and shape retrieval. diff --git a/src/data/compiled_bios/4166.txt b/src/data/compiled_bios/4166.txt new file mode 100644 index 0000000000..b978c8584b --- /dev/null +++ b/src/data/compiled_bios/4166.txt @@ -0,0 +1 @@ +Susan's work lies in fundamental computer science as it is applied to biomedicine. Her research interests center around information modeling and management, database systems, distributed systems, and bioinformatics. Within bioinformatics, Susan's group focuses on models and systems for data integration and exchange, representation and management of incomplete and semi-structured information, provenance tracking and management, and scientific workflows. Susan has also been instrumental in establishing degree programs in bioinformatics and computational biology at the undergraduate, master's, and doctoral levels. diff --git a/src/data/compiled_bios/4167.txt b/src/data/compiled_bios/4167.txt new file mode 100644 index 0000000000..c2800fe137 --- /dev/null +++ b/src/data/compiled_bios/4167.txt @@ -0,0 +1 @@ +Anindyas research interests span complexity theory, learning theory and Boolean function analysis. An overarching goal of his research is to understand the role of randomness in computation. In this pursuit, his recent effort has been directed towards viewing the discrete problems from these areas through the powerful lens of harmonic analysis and probability theory. diff --git a/src/data/compiled_bios/4168.txt b/src/data/compiled_bios/4168.txt new file mode 100644 index 0000000000..3ce18e5fab --- /dev/null +++ b/src/data/compiled_bios/4168.txt @@ -0,0 +1 @@ +Joseph works on identifying new safety properties for parallel programs, precisely defining their guarantees and exploring efficient implementations that employ a range of hardware and software mechanisms. A recent project shows how to automatically and precisely identify concurrency bugs in parallel programs. He has also done work demonstrating how to simplify parallel programming by automatically eliminating the nondeterminism that arises from current multicore architectures and programming models. With nondeterminism removed, parallel programs behave like conventional non-parallel programs that are much easier to write, debug and understand. diff --git a/src/data/compiled_bios/4169.txt b/src/data/compiled_bios/4169.txt new file mode 100644 index 0000000000..1ead0008cf --- /dev/null +++ b/src/data/compiled_bios/4169.txt @@ -0,0 +1 @@ +I am an Assistant Professor of Practice in the Department of Computer and Information Science. I teach a wide variety of introductory and advanced computer science courses. My research interests include computer science education, learning technologies and learning analytics. I earned my doctorate in computer science at Virginia Tech, and my masters and bachelors in computer science at University of Picardie Jules Verne in France. I am member of the ACM Special Interest Group on Computer Science Education (SIGCSE), and the National Society of Black Engineers (NSBE). diff --git a/src/data/compiled_bios/417.txt b/src/data/compiled_bios/417.txt new file mode 100644 index 0000000000..b0325608b8 --- /dev/null +++ b/src/data/compiled_bios/417.txt @@ -0,0 +1 @@ +Name: Zhang, Lingming:: Position: Assistant Professor:: Degrees: Ph.D., Software Engineering, The University of Texas, Austin, TX, 2014; M.S., Computer Science, Peking University, Beijing, China, 2010; B.S., Computer Science, Nanjing University, Nanjing, China, 2007; Research Interests: Software Engineering; Formal Methods and Programming Languages; Mobile and Concurrent Computing; RepresentativePublications: An Information Retrieval Approach for Regression Test Prioritization Based on Program Changes.Ripon K. Saha,Lingming Zhang, Sarfraz Khurshid, Dewayne E. Perry.Proceedings of the 37th IEEE/ACM International Conference on Software Engineering(ICSE 2015), To appear, Firenze, Italy, May 2015.; Summary-Based Context-Sensitive Data-Dependence Analysis in Presence of Callbacks.Hao Tang, Xiaoyin Wang,Lingming Zhang, Lu Zhang, Bing Xie, Hong Mei.Proceedings of the 42nd ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages(POPL 2015), To appear, Tata Institute of Fundamental Research, Mumbai, India, January 2015.; A Unified Test-Case Prioritization Approach.Dan Hao,Lingming Zhang, Lu Zhang, Gregg Rothermel, and Hong Mei.ACM Transactions on Software Engineering and Methodology(TOSEM 2015), To appear.; Feedback-Driven Dynamic Invariant Discovery.Lingming Zhang, Guowei Yang, Neha Rungta, Suzette Person, Sarfraz Khurshid.Proceedings of the ACM International Symposium on Software Testing and Analysis(ISSTA 2014), To appear, Bay Area, California, July 2014.; Bridging the Gap Between the Total and Additional Test-Case Prioritization Strategies.Lingming Zhang, Dan Hao, Lu Zhang, Gregg Rothermel, Hong Mei.Proceedings of the 35th IEEE/ACM International Conference on Software Engineering(ICSE 2013), pages 192201, San Francisco, CA, May 2013.; Notable Service: PC Member:The 25th IEEE International Symposium on Software ReliabilityEngineering (ISSRE 2014); PC Member:The 30th IEEE International Conference on Software Maintenance andEvolution (ICSME 2014); AEC Member:The ACM SIGPLAN Conference on Object-Oriented Programming Systems,Languages, and Applications (SPLASH/OOPSLA 2014); AEC Member:The ACM International Symposium on Software Testing and Analysis(ISSTA 2014); PC Member:The 29th IEEE International Conference on Software Maintenance (ICSM2013); diff --git a/src/data/compiled_bios/4170.txt b/src/data/compiled_bios/4170.txt new file mode 100644 index 0000000000..afa3251a4d --- /dev/null +++ b/src/data/compiled_bios/4170.txt @@ -0,0 +1 @@ +Jean is interested in the application of geometric methods to problems in engineering. In particular, he is investigating methods for smooth surface reconstruction from 3D meshes. He is also interested in methods for statistical analysis in medical imaging, and focuses on diffusion tensor imaging. In his work to resolve the difficulties of the non-Euclidean domain of these images, Jean applies Riemannian geometry as a framework for problem solving. diff --git a/src/data/compiled_bios/4171.txt b/src/data/compiled_bios/4171.txt new file mode 100644 index 0000000000..0792d9a53b --- /dev/null +++ b/src/data/compiled_bios/4171.txt @@ -0,0 +1 @@ +As a teacher, Clayton aims to empower students with adaptive pipelines, ethical best practices, and a holistic perspective on data science. As a researcher, he focuses on analyzing cross-level interactions between vector-space representations of linguistic units. Clayton's general academic interests include data-driven methods for natural language processing, representation learning, information theory, and statistical analysis of experimental data. diff --git a/src/data/compiled_bios/4172.txt b/src/data/compiled_bios/4172.txt new file mode 100644 index 0000000000..62f5c3c05a --- /dev/null +++ b/src/data/compiled_bios/4172.txt @@ -0,0 +1 @@ +Andreas is working on distributed systems, networking, and security. He is particularly interested in large-scale distributed systems that span multiple administrative domains, such as cloud computing platforms or the Internet's interdomain routing system. Recently he has been working on accountability for distributed systems and on Internet access networks. diff --git a/src/data/compiled_bios/4173.txt b/src/data/compiled_bios/4173.txt new file mode 100644 index 0000000000..2b8c208c64 --- /dev/null +++ b/src/data/compiled_bios/4173.txt @@ -0,0 +1 @@ +Brett's research focuses on coding theory and cryptography, using mathematical tools to create secure and robust information systems. In coding theory, Brett has developed new locally correctable error correcting codes from expander graphs. In cryptography, Brett has new developed cryptosystems that are provable secure against chosen ciphertext attacks and selective opening attacks. In addition to developing new algorithmic tools, Brett's research focuses on transitioning algorithms into practice. One such example is Secure Multiparty Computation (MPC), a cryptographic tool that allows a group of stakeholders to jointly compute a function of their private data, without revealing their private data to each other or any outside party. Brett has developed new use cases for MPC, and worked with stakeholders and cryptographers to develop customized algorithms and analyze the costs and benefits of their deployment. diff --git a/src/data/compiled_bios/4174.txt b/src/data/compiled_bios/4174.txt new file mode 100644 index 0000000000..5a9d47e8ea --- /dev/null +++ b/src/data/compiled_bios/4174.txt @@ -0,0 +1 @@ +Zach's research focuses on facilitating information sharing in today's Web and wireless worlds. He and his group are developing techniques for connecting different databases and applications together to them, regardless of possible variations and inconsistencies in terminologies or formats. They are also working on higher-level ways of programming large suites of heterogeneous sensor devices, and methods for automatically adapting these programs to target networks and devices. Zach's ultimate goal is to connect users or their applications with the data and in the format they need. diff --git a/src/data/compiled_bios/4175.txt b/src/data/compiled_bios/4175.txt new file mode 100644 index 0000000000..391b8c6a4b --- /dev/null +++ b/src/data/compiled_bios/4175.txt @@ -0,0 +1 @@ +Chenfanfu Jiang received his Ph.D in CS from UCLA in 2015, co-advised by Prof. Demetri Terzopoulos and Prof. Joseph Teran. He was awarded UCLA Edward K. Rice Outstanding Doctoral Student Award in 2015. He received his B.S. in Physics from Class for the Gifted Young (SCGY) of University of Science and Technology of China (USTC) in 2010. His primary research focus is physics-based simulation for animation/VFX and its cross-field collaborational research with computer vision, scene understanding, robotics, cognitive science, and medical training. diff --git a/src/data/compiled_bios/4176.txt b/src/data/compiled_bios/4176.txt new file mode 100644 index 0000000000..6ea18a2bca --- /dev/null +++ b/src/data/compiled_bios/4176.txt @@ -0,0 +1 @@ +Sampath's research spans several subfields in algorithms. In his work on massive data set algorithms, Sampath explores what can be computed efficiently, and what is not computable. He is also interested in program checking, a paradigm for ensuring the correctness of a program by observing its behavior at run-time, and in algorithmic problems in computational biology, particularly the problem of reconstructing the evolutionary history of a set of species from phenotypic and molecular sequence observations. diff --git a/src/data/compiled_bios/4177.txt b/src/data/compiled_bios/4177.txt new file mode 100644 index 0000000000..16a3471e10 --- /dev/null +++ b/src/data/compiled_bios/4177.txt @@ -0,0 +1 @@ +Michael's primary research interests are in machine learning, probabilistic artificial intelligence, algorithmic game theory, and computational finance. He integrates problems from these areas with methods from theoretical computer science and related disciplines. While the majority of Michael's work is mathematical in nature, he has also participated in a variety of systems and experimental work, including spoken dialogue systems, software agents, and most recently, human-subject experiments in strategic and economic interaction. diff --git a/src/data/compiled_bios/4178.txt b/src/data/compiled_bios/4178.txt new file mode 100644 index 0000000000..ed3e965f06 --- /dev/null +++ b/src/data/compiled_bios/4178.txt @@ -0,0 +1 @@ +Sanjeev works in theoretical computer science, studying the amount of resources that are necessary and sufficient to perform a computational task. His specific interests are in fast computation of near-optimal solutions for NP-hard problems, a class which has eluded efficient exact algorithms. Ubiquitous in computer science and related disciplines, some representative examples of this class include multiprocessor scheduling, network design and routing, and the celebrated traveling salesman problem. Sanjeev's recent work has led to efficient algorithms for finding near-optimal solutions to several fundamental network design and routing problems. diff --git a/src/data/compiled_bios/4179.txt b/src/data/compiled_bios/4179.txt new file mode 100644 index 0000000000..b6888c4f3c --- /dev/null +++ b/src/data/compiled_bios/4179.txt @@ -0,0 +1 @@ +Bongho Kim is a senior researcher in Nokia Bell Labs' Wireless Access Network Research in Murray Hill, New Jersey. His current research includes 5G wireless technologies, RAN/Network Slicing, Multi-Radio Access Technologies, and Network performance enhancement over wireless networks. He serves also as a lecturer with the University of Pennsylvania. He has received a number of awards including the Proud Eagle Award from Lucent Technologies and the WiMAX Forum individual contribution award. He holds 20 issued and pending patents in the area of wireless networks and algorithms design. He received both M.S. and Ph.D. in computer science and engineering from the University of Pennsylvania in 1997 and 2016, and received B.S. with honors in computer and information science from The Ohio State University in 1995. He also received both B.S. and M.S. in the earth and marine science from the Han Yang University, Korea in 1989 and 1991. Bongho has been working on the Mobile network systems design, Standardization, Network and protocol architecture design. His researches include 5G wireless technologies, RAN/Network slicing, IoT, Cross-protocol layer performance optimization, Multi-Radio Access Technology, and Application performance enhancement over wireless networks. diff --git a/src/data/compiled_bios/418.txt b/src/data/compiled_bios/418.txt new file mode 100644 index 0000000000..fcce059f3a --- /dev/null +++ b/src/data/compiled_bios/418.txt @@ -0,0 +1 @@ +Name: Zheng, S. Q.:: Position: Professor (CS, CE, & TE):: Degrees: ; Ph.D., University of California, Santa Barbara; ; Research Interests: High-Performance Computer and Network Architectures; Algorithm Design and Analysis; Combinatorial Optimization; Optical Networks; Wireless Networks; Parallel and Distributed Processing; Hardware/Software Co-Design in Real-Time and Embedded Systems; Interconnection and Switching Networks, and Network Switches and Routers; Circuits and Systems; diff --git a/src/data/compiled_bios/4180.txt b/src/data/compiled_bios/4180.txt new file mode 100644 index 0000000000..3e9c934a94 --- /dev/null +++ b/src/data/compiled_bios/4180.txt @@ -0,0 +1 @@ +Brandon Krakowsky is a Lecturer at the School of Engineering and the Research & Education Director at the Wharton Customer Analytics Initiative, where he leads an innovative and cutting edge Research Opportunity program, focusing on the development and application of customer analytics methods. He works to design, scope and execute data-driven research projects, providing corporate sponsored real-world data to top faculty and academic researchers from around the world. Brandon received his B.A. in Communications and American Studies from Boston College. He then went on to earn a Masters in Computer and Information Technology from the University of Pennsylvania in 2008. diff --git a/src/data/compiled_bios/4181.txt b/src/data/compiled_bios/4181.txt new file mode 100644 index 0000000000..9a30238b93 --- /dev/null +++ b/src/data/compiled_bios/4181.txt @@ -0,0 +1 @@ +Insup's research interests are in real-time, embedded, and cyber physical systems, which increasingly affect our daily lives. His research goals are to ensure and improve the correctness, safety, timeliness, trustworthiness, and compositionality of these systems. Insup has been developing techniques and tools for compositional real-time scheduling, model-based development, quantitative trust management, and run-time verification. He has also been transitioning his research results into practice by applying them to safety-critical embedded systems and high-confidence medical device systems. diff --git a/src/data/compiled_bios/4182.txt b/src/data/compiled_bios/4182.txt new file mode 100644 index 0000000000..8e901fac55 --- /dev/null +++ b/src/data/compiled_bios/4182.txt @@ -0,0 +1 @@ +Vincent's research is in the general area of networked systems and bridges all layers of the networking stack, from hardware concerns to application and user demands. Within computer networking, he has published in a variety of fields including data center networks, fault-tolerant distributed systems, energy-efficient wireless communication, and systems to preserve security and privacy. diff --git a/src/data/compiled_bios/4183.txt b/src/data/compiled_bios/4183.txt new file mode 100644 index 0000000000..dadf45e296 --- /dev/null +++ b/src/data/compiled_bios/4183.txt @@ -0,0 +1 @@ +Boon's research focuses on distributed data management systems, Internet-scale query processing, and the application of database technologies to networked systems. He is particularly interested in developing information-centric network architectures that can be easily extended, composed, and formally verified. His recent projects include applying declarative networking techniques in the areas of dynamic network composition, adaptive mobile ad-hoc networks, and scalable knowledge-based networks. He is also exploring novel database-inspired techniques for diagnosing, securing, and verifying network protocols. diff --git a/src/data/compiled_bios/4184.txt b/src/data/compiled_bios/4184.txt new file mode 100644 index 0000000000..d87d427692 --- /dev/null +++ b/src/data/compiled_bios/4184.txt @@ -0,0 +1 @@ +Adam's primary role is to be an educator in computer graphics and computer science. He teaches the Introductory and Advanced computer graphics courses Adam received his B.S.E. in Digital Media Design and his M.S.E. in Computer Graphics and Game Technology from the University of Pennsylvania. Since 2015, he has served as a lecturer at Penn, instructing undergraduate and graduate students in various computer graphics courses such as CIS 560: Interactive Computer Graphics and CIS 561: Advanced Computer Graphics. His teaching and learning interests include real-time interactive graphics, procedural content generation, and game design. diff --git a/src/data/compiled_bios/4185.txt b/src/data/compiled_bios/4185.txt new file mode 100644 index 0000000000..a7374bc158 --- /dev/null +++ b/src/data/compiled_bios/4185.txt @@ -0,0 +1 @@ +Mitch works at the intersection of linguistics and computer science, leveraging our understanding of the structure of language to develop new technologies which will automatically extract increasingly rich information from texts in languages in such languages as English, Arabic, and Chinese. He and his collaborators have developed statistical and symbolic methods for automatic acquisition of linguistic structure, and methodologies for annotation of linguistic structure in large text corpora. Specifically, Mitch and his group are working on corpora which are hand-annotated with linguistic structure for use world-wide as training materials for new machine learning algorithms. diff --git a/src/data/compiled_bios/4186.txt b/src/data/compiled_bios/4186.txt new file mode 100644 index 0000000000..17e2c492ad --- /dev/null +++ b/src/data/compiled_bios/4186.txt @@ -0,0 +1 @@ +Max's research program focuses on developing a better understanding of the nature of good algorithms for decision-making under uncertainty, with applications to machine perception and robotics. Current research topics include the application of game theory and statistical decision theory for designing robust fixed-geometry confidence regions for multivariate location parameters, and algorithms for robust multisensor fusion and set-valued state estimation with performance guarantees. Max also works with applications of confidence sets for cooperative and noncooperative mobile robots. diff --git a/src/data/compiled_bios/4187.txt b/src/data/compiled_bios/4187.txt new file mode 100644 index 0000000000..4131a22b06 --- /dev/null +++ b/src/data/compiled_bios/4187.txt @@ -0,0 +1 @@ +Chris' research interests include online education, student contributions to open source software projects, and how these affect diversity and inclusion within Computer Science. diff --git a/src/data/compiled_bios/4188.txt b/src/data/compiled_bios/4188.txt new file mode 100644 index 0000000000..c34050fe75 --- /dev/null +++ b/src/data/compiled_bios/4188.txt @@ -0,0 +1 @@ +Mayur's research spans the areas of programming languages and software engineering. He investigates automated reasoning techniques for improving the effectiveness of programmers and software on conventional as well as emerging architectures. These techniques encompass the areas of program analysis, machine learning, and constraint solving. Previously, he was a researcher at Intel Labs, Berkeley (2008-2011) and on the faculty at Georgia Tech (2011-2016). diff --git a/src/data/compiled_bios/4189.txt b/src/data/compiled_bios/4189.txt new file mode 100644 index 0000000000..f9cf5cf837 --- /dev/null +++ b/src/data/compiled_bios/4189.txt @@ -0,0 +1 @@ +Ani works in the area of natural language processing, focusing on automatic summarization, text generation, discourse and prosody. She is addressing the increasing need for intelligent summarization systems brought on by the proliferation of textual information in electronic form. Ani's research has addressed challenges in summarization, including identifying important content to include in the summary, automatic revision of human written text to better fit in the new context of the summary, and automatic identification of inputs that current systems handle poorly. diff --git a/src/data/compiled_bios/419.txt b/src/data/compiled_bios/419.txt new file mode 100644 index 0000000000..3eac8343c0 --- /dev/null +++ b/src/data/compiled_bios/419.txt @@ -0,0 +1 @@ +Mohamed Mostafa Sabry Aly (Asst Prof) PhD (EE) EPFL Switzerland Email:MSABRY{at}ntu.edu.sg Room No: N4-02c-92 Ext No: 6790 6563 diff --git a/src/data/compiled_bios/4190.txt b/src/data/compiled_bios/4190.txt new file mode 100644 index 0000000000..fad4ee7136 --- /dev/null +++ b/src/data/compiled_bios/4190.txt @@ -0,0 +1 @@ +Linh's interests include real-time systems, embedded systems, cyber-physical systems, and cloud computing. Her research develops theoretical methods, analysis tools, and platform support for building complex systems efficiently and with provable safety and timing guarantees. She is especially interested in techniques that integrate theory, systems, and application aspects. Recently, she has been working on methods for defending cyber-physical systems against malicious attacks, as well as on real-time cloud infrastructures for safety-critical and mission-critical systems. diff --git a/src/data/compiled_bios/4191.txt b/src/data/compiled_bios/4191.txt new file mode 100644 index 0000000000..44ad8422f7 --- /dev/null +++ b/src/data/compiled_bios/4191.txt @@ -0,0 +1 @@ +Benjamin's research focuses on foundational principles leading to more robust, cohesive, and secure software systems. He has worked on programming languages, static type systems, concurrent and distributed programming, synchronization technologies, and computer security, always with an eye to the fruitful interplay of theory and practice. Benjamin is the author of several books, including the widely used graduate text, Types and Programming Languages, and is the lead designer of the popular Unison file synchronizer. diff --git a/src/data/compiled_bios/4192.txt b/src/data/compiled_bios/4192.txt new file mode 100644 index 0000000000..74d554ec7e --- /dev/null +++ b/src/data/compiled_bios/4192.txt @@ -0,0 +1 @@ +Roth studies algorithm design in settings in which either the data belongs to other self-interested parties, or the computation is to be performed by other self-interested parties. This requires studying the algorithmic foundations of data privacy and game theory. In particular, he is interested in what kinds of computations can be performed while satisfying strong information-theoretic privacy constraints, and in how selfish agents can be incentivized by these strong privacy protections to allow their data to be used. diff --git a/src/data/compiled_bios/4193.txt b/src/data/compiled_bios/4193.txt new file mode 100644 index 0000000000..9edc5f4139 --- /dev/null +++ b/src/data/compiled_bios/4193.txt @@ -0,0 +1 @@ +Dan Roth's research interests are in the computational foundations of intelligent behavior. He develops theories and systems pertaining to intelligent behavior using a unified methodology at the heart of which is the idea that learning has a central role in intelligence. His research has contributed to major conceptual and theoretical advances in the modeling of natural language understanding, machine learning, and reasoning. In recent years he has focused on the study of machine learning and inference methods to facilitate natural language understanding and has also developed advanced machine learning based tools for natural language applications that are being used widely by the research community and commercially. diff --git a/src/data/compiled_bios/4194.txt b/src/data/compiled_bios/4194.txt new file mode 100644 index 0000000000..7b267cc060 --- /dev/null +++ b/src/data/compiled_bios/4194.txt @@ -0,0 +1 @@ +Jianbo's group is developing vision algorithms for both human and image recognition. Their ultimate goal is to develop computation algorithms to understand human behavior and interaction with objects in video, and to do so at multiple levels of abstractions: from the basic body limb tracking, to human identification, gesture recognition, and activity inference. Jianbo and his group are working to develop a visual thinking model that allows computers not only to understand their surroundings, but also to achieve higher level cognitive abilities such as machine memory and learning. diff --git a/src/data/compiled_bios/4195.txt b/src/data/compiled_bios/4195.txt new file mode 100644 index 0000000000..2888ef6ad5 --- /dev/null +++ b/src/data/compiled_bios/4195.txt @@ -0,0 +1 @@ +Jonathan's research interests center around computer networking and computer security. He is developing network architectures for new services and applications, such as the Terabit Edge Research Activity (TERA), which is focused on the coupling between parallel processing and parallelism in transmission systems, and implications for host software and network control. Jonathan is also working on Zodiac, an intrinsically assurable mobile ad-hoc network, where many challenges ensue as router and host become indistinguishable, and Dynamic Trust Management (DTM), which is focused on "situation-aware" authorizations for privileged actions, such as emergency situations. diff --git a/src/data/compiled_bios/4196.txt b/src/data/compiled_bios/4196.txt new file mode 100644 index 0000000000..850b5e742c --- /dev/null +++ b/src/data/compiled_bios/4196.txt @@ -0,0 +1 @@ +Oleg focuses his research interests on the application of formal methods to design and verify distributed real-time systems. He works on modeling and analysis of computer-based systems, particularly medical devices, which require high levels of confidence in their operation. Oleg aims to develop mathematically grounded modeling languages, algorithms, and tools to verify system models in terms of their functional correctness and timeliness. He also develops methods for implementing systems according to their models. diff --git a/src/data/compiled_bios/4197.txt b/src/data/compiled_bios/4197.txt new file mode 100644 index 0000000000..35029c9939 --- /dev/null +++ b/src/data/compiled_bios/4197.txt @@ -0,0 +1 @@ +Val's work is centered around data management technologies and their applications in life sciences. He and his group are currently working on models and systems for data sharing, data provenance and uncertain information. His research has been applied in genomics and bioinformatics as well as in phyloinformatics and systematic biology. Val's past work also includes research in programming languages and high-performance computing. In addition, he maintains a special interest in applications of mathematical logic to computer science. diff --git a/src/data/compiled_bios/4198.txt b/src/data/compiled_bios/4198.txt new file mode 100644 index 0000000000..94d042ef6e --- /dev/null +++ b/src/data/compiled_bios/4198.txt @@ -0,0 +1 @@ +CJ's research interests focus on computer vision and robotics. His work on problems related to recovering 3-D models from 2-D images has led to commercially deployed techniques for recovering architectural models. CJ has also developed algorithms for recovering the posture of articulated figures, such as humans from photographs and video footage. His current research include work on self-localizing embedded smart camera systems and their applications to problems such as automated surveying systems, ad-hoc surveillance systems, three-dimensional reconstruction and mobile robot localization. diff --git a/src/data/compiled_bios/4199.txt b/src/data/compiled_bios/4199.txt new file mode 100644 index 0000000000..71a83708c0 --- /dev/null +++ b/src/data/compiled_bios/4199.txt @@ -0,0 +1 @@ +Lyle's current research focuses on developing scalable machine learning methods for data mining and text mining, including deep learning methods for NLP, and analysis of text and images in social media to better understand the drivers of physical and mental well-being. diff --git a/src/data/compiled_bios/42.txt b/src/data/compiled_bios/42.txt new file mode 100644 index 0000000000..268923a34a --- /dev/null +++ b/src/data/compiled_bios/42.txt @@ -0,0 +1 @@ + Sheldon Howard Jacobson Ph.D. University of Illinois at Urbana-Champaign Founder Professor in Computer Science Director, Bed Time Research Institute Director,Simulation and Optimization Laboratory 201 North Goodwin Avenue (MC-258) University of Illinois Urbana, Illinois 61801-2302 Telephone: (217) 244-7275 Fax: (217) 265-4035 Skype: sheldon.jacobson1 Email: shj@illinois.edu Twitter: @ shjanalytics Google Scholar Page Scopus Page Wikipedia Page ORCID ID: 0000-0002-9042-8750 Primary and Affiliate Appointments: Professor of Computer Science Professor of Electrical and Computer Engineering Professor of Industrial and Enterprise Systems Engineering Professor of Mathematics ( College of Liberal Arts and Science ) Professor of Pediatrics ( College of Medicine ) Founding Director: Bed Time Research Institute (BTRI) Web Sites of Interest within the BTRI 1) What drives obesity? Visit Driving Obesity for the answer. 2) The 2016 Election is now in the books. Visit Election Analytics for a summary of what happened. 3) March Madness 2019... What are your bracket odds? Visit Bracketodds for help with your bracket. Career Summary Sheldon H. Jacobson is the Founder Professor in Computer Science, Director of the Simulation and Optimization Laboratory, and Founding Director of the Bed Time Research Institute at the University of Illinois at Urbana-Champaign. He holds appointments in Industrial and Enterprise Systems Engineering, Electrical and Computer Engineering, Mathematics, and the College of Medicine. He has a B.Sc. and M.Sc. in Mathematics from McGill University and a Ph.D. in Operations Research from Cornell University. He has served on the faculties at Case Western Reserve University ( Weatherhead School of Management, 1988-1993), Virginia Tech (Industrial and Systems Engineering, 1993-1999), and the University of Illinois (1999-present). He has published 180 peer-reviewed articles, 11 book chapters, 48 conference proceedings, 29 professional and editorial publications, and delivered over 470 presentation, seminars and posters at conferences, universities, and research laboratories around the world. He has directed 23 Ph.D. dissertations and been awarded over $4.5M of research support from the National Science Foundation and the Air Force Office of Scientific Research . As Director of the Bed Time Research Institute , he spearheaded the creation of two research videos ( A Healthy Collaboration: Pediatric Immunization and Operations Research , Aviation Security: Researching the Risk .) and launched three websites ( bracketodds.cs.illinois.edu , electionanalytics.cs.illinois.edu , drivingobesity.cs.illinois.edu ), all designed to communicate the value of basic research through Broader Impact activities, and promulgate STEM activities for enhancing and growing a technically literate citizenry. He has made several seminal research contributions, all focusing on applying operations research and advanced analytics to address societal problems of national interest. He launched the research field, aviation security analytics, demonstrating how probabilistic models, optimization, and artificial intelligence can be used to improve the performance of aviation security systems. His research on multi-level aviation security passenger screening at airports was the precursor to risk-based security, providing the foundational concepts that informed the design and implementation of TSA Precheck . His contributions have been recognized with numerous awards, including a 2003 Guggenheim Fellowship and the 2018 INFORMS Impact Prize , given biennially to recognize widespread impact of operations research. His research on the design of pediatric vaccine formularies introduced the use of operations research in the pediatric immunization domain. His research on bridging obesity, transportation, and fuel consumption established the impact of transportation on obesity, providing the foundation for non-medical obesity interventions based on modes of transportation. His research has been widely reported and communicated in the national press, including the Washington Post, the Chicago Tribune, the Los Angeles Times , and the Boston Globe , editorialized in the New York Times , and discussed in Business Week, Forbes , Kiplinger , and The Osgood Files on CBS radio . He has appeared on The Street Signs (CNBC), The Closing Bell (CNBC), Weekends with Alex Witt (MSNBC), Washington Post Radio , CBS This Morning , CBC Canada News (television and radio) , and BBC World News (television and radio). His views have been published as opinion-editorials and letters in the Washington Post, Quartz, CNN Opinion, Inside Higher Ed, the Wall Street Journal , and the Chicago Tribune. He has been recognized with numerous awards, including a Guggenheim Fellowship (2003), the INFORMS Impact Prize (2018), the IISE David F. Baker Distinguished Research Award (2017), IISE Award for Technical Innovation in IndustrialEngineering (2010, 2013), the Aviation Security Research Award (Aviation Security International) (2002), the IIE Outstanding Publication Award (2009), the Award for Excellence in the Teaching of Operations Research (IISE Operations Research Division) (2011), and runner-up for the Christopher Columbus Homeland Security Award (Transportation and Border Security) (2010). He is an elected Fellow of the Institute for Operations Research and the Management Sciences (INFORMS) (2013) and the Institute of Industrial and Systems Engineers (IISE) (2011). He has also received several best paper and poster awards. His leadership and expertise have been used by both government and professional societies. He briefed personnel within the Office of Science and Technology Policy (in the executive Office of President George W. Bush) (August 2002, Washington, DC) on issues related to aviation security and assessing the cost and benefit of checked baggage screening strategies. He briefed the Advisory Committee on Immunization Practice (ACIP) on a web-site he co-developed for designing optimal pediatric vaccine formularies (October 2001, Atlanta, Georgia.) He served on committees for the National Academies, including the National Research Council Committee on Airport Passenger Screening: Backscatter X-Ray Machines (2013-2015), the National Academy of Medicine (NAM) Standing Committee for the Centers for Disease Control and Prevention Division of Strategic National Stockpile (2015-2017), and A Workshop on Medical-Product Shortages: Effects on Patient Health and Opportunities to Predict, Prevent, and Respond to Them (2018). He led the NSF-Funded workshop (May 2016, Arlington, VA), Setting a Broader Impacts Innovation Roadmap , in creating new pathways for enhancing Broader Impacts in the Engineering Directorate at the NSF. He served as the (elected) Treasurer for the Institute for Operations Research and the Management Sciences ( INFORMS) (2015-2016) and as a Program Director in the Division of Civil, Mechanical, and Manufacturing Innovation at the National Science Foundation (2012-2014). Information of interest Broader Impacts: How research supported by the National Science Foundation makes the world better for all. Read the Workshop Report: Setting a Broader Impacts Innovation Roadmap . In the News 2019 2018 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 and earlier (29 January 2019) Lower obesity rates linked with public transportation use, study shows (University of Illinois College of Engineering). Also appeared in Medical Xpress , Scienmag , News Medical , Health Medicine Network , Courier Journal , Science Daily , The Asian Age , Business Standard , Deccan Chronicle , The News Wheel , NDTV , Family Health Tale , Med Public Health Management , Tree Hugger , AASHTO Journal . See also Could riding the subway help you lose weight? (29 January 2019, New York Post , Kirsten Fleming), Public transportation may help you lose weight but speed of loss is complicated (30 January 2019, Interesting Engineering , Loukia Papadopoulos), Public transportation could affect obesity rates (30 January 2019, Consumer Affairs, Kristen Dalli ), Boarding commercial vehicles to work may lower obesity rates (30 January 2019, The Cable, Stephen Charles Kenechukwu ), Want to lose weight? Give public transportation a try (30 January 2019, Mobility Lab, Paul Mackie), Wanna shed those calories? Try this new unheard trick! (30 January 2019, Prokerala , Paul Mackie), The use of public transportation is now directly linked to low obesity rates (31 January 2019, Industry Journal, Aniket Tak ), Anyone who travels by Bus or train, remains slim (1 February 2019, Family Health Tale ). (25 September 2018) So Many Cars: Why American Life Expectancy Falls Short ( Mises Wire , Ryan McMaken ) cites Sheldon H. Jacobsons research on the association between obesity and automobile use. (25 April 2018) Letter: Human error still a part of self-driving cars , which appeared in USAToday (page 5A), discusses how self-driving cars remain subject to human error, through compliance with the framework under which they must operate. (3 April 2018) Technology holds the key to redistricting reform ( Houston Chronicle , Jay K. Aiyer (opinion)) draws on research by Sheldon H. Jacobson to argue that artificial intelligence and algorithms can help solve the problem of gerrymandering in drawing political boundaries. (12 March 2018) Science of Upsets: Prof has formula that doubles your shot (Associated Press, Eddie Pells ) appeared in numerous media outlets, both on-line and in print, including the New York Times , Washington Post , ESPN , USAToday , FoxSports , and ABC News . See also That smarts: Buffalo makes the computer look brilliant (16 March 2017, Associated Press, Eddie Pells ), NCAA tournament Winners and Loser: TruTV, Sister Jean, Thomas Jefferson and more (19 March 2018, Chicago Tribune , Teddy Greenstein , Phil Rosenthal and Tim Bannon), and Using machine learning in basketball brackets and beyond (Cisco News, Stephanie Chan). (7 March 2018) March Madness Upset Prediction: New Method Using Publicly Available Statistics Outperforms Other Techniques released by the American Statistical Association , based on the paper Identifying NCAA Tournament Upsets using Balance Optimization Subset Selection , published in Journal of Quantitative Analysis in Sport (Volume 13(2), pages 79-93. ) (5 March 2018) Who makes the NCAA tournament? Researchers at the University of Illinois can help , based on the paper Modeling the NCAA basketball tournament selection process using a decision tree published in the Journal of Sports Analytics (Volume 4, pages 65-71). See also Will your team make or miss the NCAA Tournament? New study may already have the answer (8 March 2018, Columbus Ledger-Enquirer, Columbus, GA, Jordan D. Hill). Potential PhD Graduate Students Research Opportunities in Operations Research Secrets to Learn Before you Graduate Prospective Graduate Students Visit the Media and Outreach Presentation For a seminar on bracketology : March Madness and Advanced Analytics: Improving Your Bracket Odds Looking for a Ph.D. Advisor? Zen and the Art of Hiring and Advising Graduate Students Interested in Jacobsons TED-type Talk slides? Interested in supporting Jacobsons research on policy, public health, societal issues, or bracketology ? Visit Benefunder . Research Areas and Interests Theory/AI Interface (Operations Research) Advanced Analytics and Data Science (Big Data, Computational Public Health & Social Sciences, Health Informatics) Industrial Engineering Current Research Thrusts Data-driven Causal Inference (BIG Data Analytics Using Discrete Optimization) Security Screening (Data-driven Decision-making Under Uncertainty, Game Theory) Algorithmic Political Districting (Graph Theory, Artificial Intelligence) Branch and Bound Strategies for discrete optimization problems (Theory/Artificial Intelligence) Bracketology Data Analytics (Sports Analytics) Infectious Disease Screening and quarantining strategies (Decision-making Under Uncertainty) Obesity, Energy, and Transportation (Public Health Data Analytics) Mass Murder and Violence Trends in Society (Public Health Data Analytics) Research (Peer Reviewed) Articles Computer Simulation Methodology and Modeling Discrete Optimization Algorithms (Exact and Approximation) Stochastic Models, On-line Optimization, and Sequential Decision-Making Aviation Security System Design and Analysis Health Care Systems Engineering, Modeling, and Analysis Immunization and Vaccine Economics Transportation, Obesity, and Public Health Causal Inference, Districting Problems, and Election Forecasting Sports Analytics: NCAA Bracketology Applications of Operations Research Commentaries and Viewpoints Other Publications Book Chapters Professional Magazines, Op-Eds, Letters Conference Proceedings Papers Professional Activities Presentations, Seminars, and Posters Sponsored Research Dissertation, Theses, and Projects Directed Awards, Honors, and Recognitions Selected Media Coverage Teaching and Service Activities Jacobson's Web Site on the Computer Science Web Page For more information, send a message to shj@illinois.edu He would be happy to hear from you. Sheldon H. Jacobson, Ph.D. 201 North Goodwin Avenue (MC-258) University of Illinois Urbana, Illinois 61801-2302 Telephone: (217) 244-7275 Fax: (217) 244-6869 Skype: sheldon.jacobson1 Email: shj@illinois.edu Twitter: @ shjanalytics Last updated: 11 February 2019 Counter set: 5 June 1999 Free web counters diff --git a/src/data/compiled_bios/420.txt b/src/data/compiled_bios/420.txt new file mode 100644 index 0000000000..2cbad7e8b0 --- /dev/null +++ b/src/data/compiled_bios/420.txt @@ -0,0 +1 @@ +Agent Mediated Intelligence Research Group HOME RESEARCH PUBICATIONS CURRICULUM VITAE VACANCIES AWARDS CONTACT Your browser does not support JavaScript! OR The JavaScript has been turned off! Please upgrade your browser OR turn on the JavaScript on your browser. Bo An Associate Professor School of Computer Science and Engineering Nanyang Technological University Email: boan@ntu.edu.sg Phone: (65) 6790-5389 Fax: (65) 6792-6559 Address: Blk N4-02b-55, Nanyang Avenue, Singapore 639798 News: I have been named to IEEE Intelligent Systems' "AI's 10 to Watch" list for 2018 . News: We (team HogRider) won the 2017 Microsoft Collaborative AI Challenge . News: I am invited to give the Early Career Spotlight talk at IJCAI-17 . [Slides] [Accompanying Paper] News: Slides for EC'17 Tutorial on "Advances in Game Theory for Security and Privacy": Part 1 , Part 2 , Part 3 . News: I am looking for highly motivated research assistants, PhD students, and postdocs. Details Link Biography Bo An is an Associate Professor and Assistant Chair (Innovation) at the School of Computer Science and Engineering of the Nanyang Technological University . He was a Nanyang Assistant Professor during 2014-2018. Prior to join NTU in 2013, he spent one year as an Associate Professor at the Institute of Computing Technology of the Chinese Academy of Sciences . During October 2010 to June 2012, he was a Postdoctoral Researcher at the University of Southern California , working with Professor Milind Tambe . He received the Ph.D degree in Computer Science from the University of Massachusetts, Amherst , where he was advised by Professor Victor Lesser . Prior to that, he received the B.Sc. and M.Sc. degrees in Computer Science from Chongqing University, China. His research interests include artificial intelligence, multi-agent systems, game theory, automated negotiation, resource allocation, and optimization. He has published over 90 referred papers at top conferences (AAMAS, IJCAI, AAAI, ICAPS, WWW, and KDD) and journals (JAAMAS, AIJ and ACM/IEEE Transactions). His research results in complex resource allocation have been applied to e-commerce, sensor networks, distributed streaming processing systems, and cloud computing. His work on applying game theory to security has been applied to develop game-theoretic randomization software that is currently deployed by the United States Federal Air Marshals Service, the United States Coast Guard, and wildlife conservation organizations. He has served as program committee members for many top conferences (e.g., AAMAS, IJCAI, AAAI) and was co-chair for some key international conferences/symposia. He is the recipient of the 2010 IFAAMAS Victor Lesser Distinguished Dissertation Award, an Operational Excellence Award from the Commander, First Coast Guard District of the United States, the 2012 INFORMS Daniel H. Wagner Prize for Excellence in Operations Research Practice, and 2018 Nanyang Research Award (Young Investigator). His publications won the Best Innovative Application Paper award at AAMAS'12 and the Innovative Application Award at IAAI'16. He was invited to give Early Career Spotlight talk at IJCAI'17. He led the team HogRider which won the 2017 Microsoft Collaborative AI Challenge. He was named to IEEE Intelligent Systems' "AI's 10 to Watch" list for 2018. He is a member of the editorial board of Journal of Artificial Intelligence Research (JAIR) and the Associate Editor of Journal of Autonomous Agents and Multi-agent Systems (JAAMAS), IEEE Intelligent Systems, and ACM Transactions on Intelligent Systems and Technology. He was elected to the board of directors of IFAAMAS and senior member of AAAI. Current/recent conference/journal service Editorial board member of Journal of Artificial Intelligence Research (JAIR) Associate editor of Journal of Autonomous Agents and Multi-agent Systems (JAAMAS) , IEEE Intelligent Systems , and ACM Transactions on Intelligent Systems and Technology General co-Chair: ICA'2017 PC co-Chair: PAAMS'2018 , GameSec'2017 , PRIMA'2017 , IAT'2015 AAMAS: 2019 (Innovative Applications co-Chair), 2018 (Tutorial co-Chair) , 2017 (Scholarship co-Chair) , 2016 (SPC) , 2015 (SPC) , 2014 (SPC, Demonstrations co-Chair) , 2013 (Innovative Applications co-Chair) IJCAI: 2019 (SPC) , 2018 (Tutorial co-Chair, SPC) , 2017 (SPC) , 2016 (SPC) , 15 (SPC) , 2013 (SPC) AAAI: 2019 (SPC) , 2018 (SPC) , 2017 (PC) , 2016 (PC) , 2015 (PC) , 2014 (PC) , 2013 (PC) EC: 2019 (PC) , 2016 (PC) , 2015 (PC) KDD: 2017 (PC) 2019 School of Computer Science and Engineering, Nanyang Technological University Contact Bo An Your browser does not support JavaScript! OR The JavaScript has been turned off! Please upgrade your browser OR turn on the JavaScript on your browser. diff --git a/src/data/compiled_bios/4200.txt b/src/data/compiled_bios/4200.txt new file mode 100644 index 0000000000..9ab07da546 --- /dev/null +++ b/src/data/compiled_bios/4200.txt @@ -0,0 +1 @@ +The goal of Stephanie's research is to enhance the reliability, maintainability, and security of software systems through statically-typed programming languages. Her research explores novel methods to bring more expressive type systems to users. Stephanie works to reconcile the features of expressive-but-theoretical type systems with existing languages, while partially automating the process of type system design to improve confidence in the soundness of more complicated type systems. Stephanie is also engaged in incorporating programming logics into the design of practical type systems so that application-specific properties may be expressed. diff --git a/src/data/compiled_bios/4201.txt b/src/data/compiled_bios/4201.txt new file mode 100644 index 0000000000..aaf6af7469 --- /dev/null +++ b/src/data/compiled_bios/4201.txt @@ -0,0 +1 @@ +Steve's research focuses on the problem of building software that is reliable, robust, and secure by construction. He draws on techniques from type theory, logic, and formal methods to develop programming languages that enforce strong information-flow and authorization policies in dynamic, distributed environments. His recent projects have developed techniques for incorporating robust declassification, dynamic principals, and cryptographic enforcement of authorization policies into a security-oriented language called AURA. Steve is also interested in machine-checked theorem proving, concurrent programming, and functional languages. diff --git a/src/data/compiled_bios/4202.txt b/src/data/compiled_bios/4202.txt new file mode 100644 index 0000000000..52fe731bb8 --- /dev/null +++ b/src/data/compiled_bios/4202.txt @@ -0,0 +1 @@ + Arvin Agah, Ph.D. Dean of Engineering Professor of Electrical Engineering and Computer Science University of Kansas Contact Courses Publications Research Students Arvin Agah, Ph.D. Dean of Engineering Professor of Electrical Engineering and Computer Science University of Kansas agah@ku.edu | 785.864.2930 | engr.ku.edu diff --git a/src/data/compiled_bios/4203.txt b/src/data/compiled_bios/4203.txt new file mode 100644 index 0000000000..a5db555a4a --- /dev/null +++ b/src/data/compiled_bios/4203.txt @@ -0,0 +1 @@ + Skip to main content The University of Kansas myKU Email Blackboard Enroll & Pay KU Directory A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All Academics Athletics Your browser must support JavaScript to view this content. 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Giving Tech Help Menu Home About Chair's Message Vision & Mission Academic Experience Prospective Students Overview Disciplines Undergraduate Programs Academic Experience Degree Requirements Scholarship & Tuition Admissions Degree Accreditation Graduate Programs Master's Program Ph.D. Programs Research Clusters Applied Electromagnetics Communications Systems Computational Science and Engineering Computer Systems Design Computing in the Biosciences Data Science and Engineering IT Project Management Languages and Semantics Network Engineering Network Systems Radar Systems and Remote Sensing RF Systems Engineering Cyber Security Signal Processing Software Engineering Theory of Computing Graduate Funding Cybersecurity Graduate Certificate Data Science and Engineering Software Engineering and Management Certificate RF Systems Engineering Graduate Certificate Facilities Current Students Overview New Students Undergraduate Graduate Undergraduate Students Graduate Students Master's Programs Ph.D. Programs Research Clusters Defense Notices Cybersecurity Graduate Certificate Data Science Graduate Certificate Software Engineering and Management Certificate RF Systems Engineering Graduate Certificate EECS Courses Facilities Research Facilities Facilities Location EECS Workstation Software Eaton Hall Map EECS Shop Faculty & Staff Faculty Chairpersons Administrative Staff Technical Staff Research Overview Research Clusters Applied Electromagnetics Communications Systems Computer Systems Design Computing in the Biosciences Intelligent Informatics Languages and Semantics Network Engineering Network Systems Radar Systems and Remote Sensing RF Systems Engineering Cyber Security Signal Processing Software Engineering Theory of Computing Defense Notices Research Facilities Alumni & Friends Advisory Board Welcome Alumni! Giving Tech Help Search Search form Search Home Reza Ahmadi REZA AHMADI Reza Ahmadi, Ph.D. Assistant Professor ahmadi@ku.edu 1 Primary office : 785-864-6712 3044 Eaton Hall University of Kansas 1520 West 15th Street Lawrence 66045 Summary 2 Bio 3 Publications 4 Primary Research Interests Power and Energy Systems Power Electronics and Motion Drives Smart Grid Technologies Renewable Energy Harvesting and Grid Integration Selected Publications Journal Publications, Find the most up-to-date list here: https://scholar.google.com/citations?user=2ayGjNQAAAAJ&hl=en 5 [1] Aleenejad, M., Mahmoudi, H., & Ahmadi, R. "Reduced Number of Auxiliary H-Bridge Power Cells for Post-Fault Operation of Three Phase Cascaded H-Bridge Inverter," submitted to IEEE Transactions on Power Electronics (in review). [2] Mahmoudi, H., Jafarishiadeh, S.M., & Ahmadi, R. "Computationally Efficient Finite Control Set Model Predictive Control for Modular Multilevel Converter," submitted to IEEE Transactions on Power Electronics (in review). [3] S. Sajadian, R. Ahmadi and H. Zargarzadeh, "Extremum Seeking Based Model Predictive MPPT for Grid-tied Z-Source Inverter for Photovoltaic Systems," in IEEE Journal of Emerging and Selected Topics in Power Electronics (Early Access). [4] S. Sajadian and R. Ahmadi, "ZSI for PV systems with LVRT capability," in IET Renewable Power Generation , vol. 12, no. 11, pp. 1286-1294, 20 8 2018. [5] R. Ahmadi, M. Aleenejad, H. Mahmoudi and S. Jafarishiadeh, "Fault-Tolerant Space Vector Modulation for Modular Multilevel Converters with Bypassed Faulty Submodules," in IEEE Transactions on Industrial Electronics (Early Access). [6] R. Ahmadi, H. Mahmoudi and M. Aleenejad, "Torque Ripple Minimization for a Permanent Magnet Synchronous Motor Using a Modified Quasi-Z-Source Inverter," in IEEE Transactions on Power Electronics (Early Access). [7] H. Mahmoudi, M. Aleenejad and R. Ahmadi, "Reconfigurable rapid prototyping platform for power electronic circuits and systems for research and educational purposes," in IET Power Electronics , vol. 11, no. 7, pp. 1314-1320, 19 6 2018. [8] H. Mahmoudi, M. Aleenejad and R. Ahmadi, "Modulated Model Predictive Control for aZ-Source-Based Permanent Magnet Synchronous Motor Drive System," in IEEE Transactions on Industrial Electronics , vol. 65, no. 10, pp. 8307-8319, Oct. 2018. [9] H. Mahmoudi, M. Aleenejad and R. Ahmadi, "Modulated Model Predictive Control of Modular Multilevel Converters in VSC-HVDC Systems," in IEEE Transactions on Power Delivery , vol. 33, no. 5, pp. 2115-2124, Oct. 2018. [10] S. Sajadian and R. Ahmadi, "Model Predictive Control of Dual-Mode Operations Z-Source Inverter: Islanded and Grid-Connected," in IEEE Transactions on Power Electronics , vol. 33, no. 5, pp. 4488-4497, May 2018. [11] S. Sajadian and R. Ahmadi, "Distributed Maximum Power Point Tracking Using Model Predictive Control for Photovoltaic Energy Harvesting Architectures Based on Cascaded Power Optimizers," in IEEE Journal of Photovoltaics , vol. 7, no. 3, pp. 849-857, May 2017. [12] M. Aleenejad, H. Mahmoudi and R. Ahmadi, "A Fault-Tolerant Strategy Based on Fundamental Phase-Shift Compensation for Three-Phase Multilevel Converters With Quasi-Z-Source Networks With Discontinuous Input Current," in IEEE Transactions on Power Electronics , vol. 31, no. 11, pp. 7480-7488, Nov. 2016. [13] S. Sajadian and R. Ahmadi, "Model Predictive-Based Maximum Power Point Tracking for Grid-Tied Photovoltaic Applications Using aZ-Source Inverter," in IEEE Transactions on Power Electronics , vol. 31, no. 11, pp. 7611-7620, Nov. 2016. [14] M. Aleenejad, H. Mahmoudi and R. Ahmadi, "Multifault Tolerance Strategy for Three-Phase Multilevel Converters Based on a Half-Wave Symmetrical Selective Harmonic Elimination Technique," in IEEE Transactions on Power Electronics , vol. 32, no. 10, pp. 7980-7989, Oct. 2017. [15] H. Mahmoudi, M. Aleenejad and R. Ahmadi, "A New Multiobjective Modulated Model Predictive Control Method With Adaptive Objective Prioritization," in IEEE Transactions on Industry Applications , vol. 53, no. 2, pp. 1188-1199, March-April 2017. [16] M. Aleenejad, H. Mahmoudi, R. Ahmadi and H. Iman-Eini, "A New High-Switching-Frequency Modulation Technique to Improve the DC-Link Voltage Utilization in Multilevel Converters," in IEEE Transactions on Industrial Electronics , vol. 64, no. 3, pp. 1807-1817, March 2017. [17] M. Aleenejad, H. Mahmoudi and R. Ahmadi, "Unbalanced Space Vector Modulation with Fundamental Phase Shift Compensation for Faulty Multilevel Converters," in Power Electronics, IEEE Transactions on , vol. 31, no. 10, pp. 7224-7233, Oct. 2016. [18] M. Aleenejad and R. Ahmadi, Fault-tolerant multilevel cascaded H-bridge inverter using impedance-sourced network, IET Power Electronics, IET Power Electronics, vol. 9, no. 11, pp. 2186-2195, Sept. 2016. [19] M. Aleenejad, H. Mahmoudi, P. Moamaei, and R. Ahmadi, "A New Fault-Tolerant Strategy Based on a Modified Selective Harmonic Technique for Three-Phase Multilevel Converters With a Single Faulty Cell," Power Electronics, IEEE Transactions on, vol. 31, no. 4, pp. 3141-3150, April 2016. [20] R. Ahmadi and M. Ferdowsi, "Improving the Performance of a Line Regulating Converter in a Converter-Dominated DC Microgrid System," IEEE Transactions on Smart Grid, vol. 5, no. 5, pp. 2553-2563, Sept. 2014. [21] R. Ahmadi and M. Ferdowsi, Double-input converters based on h-bridge cells: Derivation, small-signal modeling, and power sharing analysis, IEEE Trans. Circuits Syst. I, Reg. Papers , vol. 59, no. 4, pp. 875888, Apr. 2012. [22] R. Ahmadi, and M. Ferdowsi, Nonlinear power sharing controller for a double-input H-bridge based buckboost-buckboost converter, IEEE Trans. Power Electron. , Reg. Papers , vol. 28, no. 5, pp. 2420-2414, May 2013. [23] K. Hamedani, S. Seyyedsalehi, and R. Ahamdi, "Video-based face recognition and image synthesis from rotating head frames using nonlinear manifold learning by neural networks," Neural Computing and Applications, pp. 1-9, 2015/06/27 2015. [24] h. R. Pourshaghaghi, R. Ahmadi, M. R. Jahed-motlagh, and B. Kia, "Experimental realization of a reconfigurable three input, one output logic function based on a chaotic circuit," international journal of bifurcation and chaos, vol. 20, no. 3, pp. 715-726, March 2010. Show All Publications 2 All Publications Journal Publications, Find the most up-to-date list here: https://scholar.google.com/citations?user=2ayGjNQAAAAJ&hl=en 5 [1] Aleenejad, M., Mahmoudi, H., & Ahmadi, R. "Reduced Number of Auxiliary H-Bridge Power Cells for Post-Fault Operation of Three Phase Cascaded H-Bridge Inverter," submitted to IEEE Transactions on Power Electronics (in review). [2] Mahmoudi, H., Jafarishiadeh, S.M., & Ahmadi, R. "Computationally Efficient Finite Control Set Model Predictive Control for Modular Multilevel Converter," submitted to IEEE Transactions on Power Electronics (in review). [3] S. Sajadian, R. Ahmadi and H. Zargarzadeh, "Extremum Seeking Based Model Predictive MPPT for Grid-tied Z-Source Inverter for Photovoltaic Systems," in IEEE Journal of Emerging and Selected Topics in Power Electronics (Early Access). [4] S. Sajadian and R. Ahmadi, "ZSI for PV systems with LVRT capability," in IET Renewable Power Generation , vol. 12, no. 11, pp. 1286-1294, 20 8 2018. [5] R. Ahmadi, M. Aleenejad, H. Mahmoudi and S. Jafarishiadeh, "Fault-Tolerant Space Vector Modulation for Modular Multilevel Converters with Bypassed Faulty Submodules," in IEEE Transactions on Industrial Electronics (Early Access). [6] R. Ahmadi, H. Mahmoudi and M. Aleenejad, "Torque Ripple Minimization for a Permanent Magnet Synchronous Motor Using a Modified Quasi-Z-Source Inverter," in IEEE Transactions on Power Electronics (Early Access). [7] H. Mahmoudi, M. Aleenejad and R. Ahmadi, "Reconfigurable rapid prototyping platform for power electronic circuits and systems for research and educational purposes," in IET Power Electronics , vol. 11, no. 7, pp. 1314-1320, 19 6 2018. [8] H. Mahmoudi, M. Aleenejad and R. Ahmadi, "Modulated Model Predictive Control for aZ-Source-Based Permanent Magnet Synchronous Motor Drive System," in IEEE Transactions on Industrial Electronics , vol. 65, no. 10, pp. 8307-8319, Oct. 2018. [9] H. Mahmoudi, M. Aleenejad and R. Ahmadi, "Modulated Model Predictive Control of Modular Multilevel Converters in VSC-HVDC Systems," in IEEE Transactions on Power Delivery , vol. 33, no. 5, pp. 2115-2124, Oct. 2018. [10] S. Sajadian and R. Ahmadi, "Model Predictive Control of Dual-Mode Operations Z-Source Inverter: Islanded and Grid-Connected," in IEEE Transactions on Power Electronics , vol. 33, no. 5, pp. 4488-4497, May 2018. [11] S. Sajadian and R. Ahmadi, "Distributed Maximum Power Point Tracking Using Model Predictive Control for Photovoltaic Energy Harvesting Architectures Based on Cascaded Power Optimizers," in IEEE Journal of Photovoltaics , vol. 7, no. 3, pp. 849-857, May 2017. [12] M. Aleenejad, H. Mahmoudi and R. Ahmadi, "A Fault-Tolerant Strategy Based on Fundamental Phase-Shift Compensation for Three-Phase Multilevel Converters With Quasi-Z-Source Networks With Discontinuous Input Current," in IEEE Transactions on Power Electronics , vol. 31, no. 11, pp. 7480-7488, Nov. 2016. [13] S. Sajadian and R. Ahmadi, "Model Predictive-Based Maximum Power Point Tracking for Grid-Tied Photovoltaic Applications Using aZ-Source Inverter," in IEEE Transactions on Power Electronics , vol. 31, no. 11, pp. 7611-7620, Nov. 2016. [14] M. Aleenejad, H. Mahmoudi and R. Ahmadi, "Multifault Tolerance Strategy for Three-Phase Multilevel Converters Based on a Half-Wave Symmetrical Selective Harmonic Elimination Technique," in IEEE Transactions on Power Electronics , vol. 32, no. 10, pp. 7980-7989, Oct. 2017. [15] H. Mahmoudi, M. Aleenejad and R. Ahmadi, "A New Multiobjective Modulated Model Predictive Control Method With Adaptive Objective Prioritization," in IEEE Transactions on Industry Applications , vol. 53, no. 2, pp. 1188-1199, March-April 2017. [16] M. Aleenejad, H. Mahmoudi, R. Ahmadi and H. Iman-Eini, "A New High-Switching-Frequency Modulation Technique to Improve the DC-Link Voltage Utilization in Multilevel Converters," in IEEE Transactions on Industrial Electronics , vol. 64, no. 3, pp. 1807-1817, March 2017. [17] M. Aleenejad, H. Mahmoudi and R. Ahmadi, "Unbalanced Space Vector Modulation with Fundamental Phase Shift Compensation for Faulty Multilevel Converters," in Power Electronics, IEEE Transactions on , vol. 31, no. 10, pp. 7224-7233, Oct. 2016. [18] M. Aleenejad and R. Ahmadi, Fault-tolerant multilevel cascaded H-bridge inverter using impedance-sourced network, IET Power Electronics, IET Power Electronics, vol. 9, no. 11, pp. 2186-2195, Sept. 2016. [19] M. Aleenejad, H. Mahmoudi, P. Moamaei, and R. Ahmadi, "A New Fault-Tolerant Strategy Based on a Modified Selective Harmonic Technique for Three-Phase Multilevel Converters With a Single Faulty Cell," Power Electronics, IEEE Transactions on, vol. 31, no. 4, pp. 3141-3150, April 2016. [20] R. Ahmadi and M. Ferdowsi, "Improving the Performance of a Line Regulating Converter in a Converter-Dominated DC Microgrid System," IEEE Transactions on Smart Grid, vol. 5, no. 5, pp. 2553-2563, Sept. 2014. [21] R. Ahmadi and M. Ferdowsi, Double-input converters based on h-bridge cells: Derivation, small-signal modeling, and power sharing analysis, IEEE Trans. Circuits Syst. I, Reg. Papers , vol. 59, no. 4, pp. 875888, Apr. 2012. [22] R. Ahmadi, and M. Ferdowsi, Nonlinear power sharing controller for a double-input H-bridge based buckboost-buckboost converter, IEEE Trans. Power Electron. , Reg. Papers , vol. 28, no. 5, pp. 2420-2414, May 2013. [23] K. Hamedani, S. Seyyedsalehi, and R. Ahamdi, "Video-based face recognition and image synthesis from rotating head frames using nonlinear manifold learning by neural networks," Neural Computing and Applications, pp. 1-9, 2015/06/27 2015. [24] h. R. Pourshaghaghi, R. Ahmadi, M. R. Jahed-motlagh, and B. Kia, "Experimental realization of a reconfigurable three input, one output logic function based on a chaotic circuit," international journal of bifurcation and chaos, vol. 20, no. 3, pp. 715-726, March 2010. Conference Papers [1] Jafarishiadeh, S.M., & Ahmadi, R. (2018). Two-and-One Set of Arms MMC-Based Multilevel Converter With Reduced Submodule Counts. In 2018 IEEE Transportation Electrification Conference and Expo (ITEC) (pp. 779-782). Long Beach, CA, USA. [2] Aleenejad, M., Mahmoudi, H., & Ahmadi, R. (2017). A Fault Tolerance Switching Strategy Based On Modified Space Vector Modulation Method For Cascaded Multilevel Converter. In Power and Energy Conference at Illinois (PECI), 2017, IEEE. [3] Aleenejad, M., Mahmoudi, H., & Ahmadi, R. (2017). A New Modulated Model Predictive Control For Permanent Magnet Synchronous Motor. In Power and Energy Conference at Illinois (PECI), 2017, IEEE. [4] Aleenejad, M., Mahmoudi, H., & Ahmadi, R. (2017). Modulated Model Predictive Control of Three Level Flying Capacitor Buck Converter. In Power and Energy Conference at Illinois (PECI), 2017, IEEE. [5] Mahmoudi, H., Aleenejad, M., & Ahmadi, R. (2017). Selective Harmonic Mitigation For Cascaded Multilevel Inverters In the Event of Unbalanced Phase Condition. In Power and Energy Conference at Illinois (PECI), 2017, IEEE. [6] Aleenejad, M., Moamaei, P., Mahmoudi, H., & Ahmadi, R. (2017). A new maximum power point tracking method for photovoltaic applications based on finite control set model predictive control. In Applied Power Electronics Conference and Exposition (APEC), 2017, IEEE. [7] Sajadian, S., & Ahmadi, R. (2017). Distributed Maximum Power Point Tracking Using Model Predictive Control for Solar Photovoltaic Applications. In Applied Power Electronics Conference and Exposition (APEC), 2017, IEEE. [8] Sajadian, S., & Ahmadi, R. (in press). Model Predictive Control of Dual-Mode Operations Z-Source Inverter: Islanded and Grid-connected. In ECCE 2017, IEEE. [9] Abushaiba, A., Eshtaiwi, S., & Ahmadi, R. (2016). Comparative analysis of dynamic performance of four prominent Maximum Power Point Tracking algorithms in photovoltaic systems using realistic experimental implementation. In International Conference on Electro Information Technology (EIT), 2016, IEEE. [10] Abushaiba, A. A., Eshtaiwi, S. M. M., & Ahmadi, R. (2016). A new model predictive based Maximum Power Point Tracking method for photovoltaic applications. In 2016 IEEE International Conference on Electro Information Technology (EIT) (pp. 0571-0575). doi:10.1109/EIT.2016.7535302 [11] Aleenejad, M., Mahmoudi, H., Moamaei, P., & Ahmadi, R. (2016). A fault-tolerant strategy based on Fundamental Phase Shift Compensation for three phase multilevel converters with quasi-Z-source networks. In 2016 IEEE Power and Energy Conference at Illinois (PECI) (pp. 1-6). doi:10.1109/PECI.2016.7459214 [12] Mahmoudi, H., Aleenejad, M., & Ahmadi, R. (2016). A new Modulated Model Predictive Control method for mitigation of effects of constant power loads. In 2016 IEEE Power and Energy Conference at Illinois (PECI) (pp. 1-5). doi:10.1109/PECI.2016.7459246 [13] Mahmoudi, H., Aleenejad, M., & Ahmadi, R. (2016). Topology exploration and control of a filter-less Z-source inverter. In 2016 IEEE Power and Energy Conference at Illinois (PECI) (pp. 1-5). doi:10.1109/PECI.2016.7459212 [14] Mahmoudi, H., Aleenejad, M., Moamaei, P., & Ahmadi, R. (2016). Fuzzy adjustment of weighting factor in model predictive control of permanent magnet synchronous machines using current membership functions. In 2016 IEEE Power and Energy Conference at Illinois (PECI) (pp. 1-5). doi:10.1109/PECI.2016.7459225 [15] Sajadian, S., & Ahmadi, R. (2016). High performance model predictive technique for MPPT of gird-tied photovoltaic system using impedance-source inverter. In 2016 IEEE Power and Energy Conference at Illinois (PECI) (pp. 1-7). doi:10.1109/PECI.2016.7459236 [16] Ahmadi, R., & Zargarzadeh, H. (2015). A New Discrete-in-Time Extremum Seeking Based Technique for Maximum Power Point Tracking of Photovoltaic Systems. In Applied Power Electronics Conference and Exposition (APEC), 2015 IEEE. [17] Aleenejad, M., Moamaei, P., Mahmoudi, H., & Ahmadi, R. (2015). Unbalanced Selective Harmonic Elimination for Fault-Tolerant Operation of Three Phase Multilevel Cascaded H-Bridge Inverters. In Applied Power Electronics Conference and Exposition (APEC), 2015 IEEE. [18] Alshawish, A. M., Ahmadi, R., & Nejadpak, A. (2015). An optimization based method for design of the adaptive mechanism parameters in a model adaptive reference system estimator in a sensorless motor drive system. In Proc. Power and Energy Conference at Illinois, (PECI), 2015 IEEE. [19] Mahmud, R., Nejadpak, A., & Ahmadi, R. (2015). Cooperative Load Sharing in V2G Application. In Electro/Information Technology Conference (EIT), 2015 IEEE. [20] Memar, K., Moamaei, P., & Ahmadi, R. (2015). Developing a hierarchical modular PV array model using PLECS block-set in MATLAB. In Proc. Power and Energy Conference at Illinois, (PECI), 2015 IEEE. [21] Moamaei, P., Iman-Eini, H., Mahmoudi, H., & Ahmadi, R. (2015). Extending the utilization of DC-link voltage in multi-level inverters using a new modulation technique. In Proc. Power and Energy Conference at Illinois, (PECI), 2015 IEEE. [22] Moamaei, P., Mahmoudi, H., & Ahmadi, R. (2015). Fault-tolerant operation of cascaded H-Bridge inverters using one redundant cell. In Proc. Power and Energy Conference at Illinois, (PECI), 2015 IEEE. [23] Abushaiba, A. A., Eshtaiwi, S. M. M., & Ahmadi, R. (2014). Dynamic performance analysis of a PV charger system. In Industrial Electronics Society, IECON 2014 - 40th Annual Conference of the IEEE, pp. 2069-2074. [24] Aleenejad, M., Ahmadi, R., & Moamaei, P. (2014). A Modified Selective Harmonic Elimination Method for Fault-Tolerant Operation of Multilevel Cascaded H-Bridge Inverters. In Proc. Power and Energy Conference at Illinois, 2014 IEEE. [25] Aleenejad, M., Ahmadi, R., & Moamaei, P. (2014). Selective Harmonic Elimination for Cascaded Multicell Multilevel Power Converters with Higher Number of H-bridge Modules. In Proc. Power and Energy Conference at Illinois, 2014 IEEE. [26] Khazraei, M., Prabhala, V. A. K., Ahmadi, R., & Ferdowsi, M. (2014). Solid-state transformer stability and control considerations. In Applied Power Electronics Conference and Exposition (APEC), 2014 IEEE, pp. 2237-2244. [27] Ahmadi, R., & Ferdowsi, M. (2013). Improving performance of a DC-DC cascaded converter system using an extra feedback loop. In Energy Conversion Congress and Exposition (ECCE), 2013 IEEE, pp. 5511-5517. [28] Ahmadi, R., Behjati, H., & Ferdowsi, M. (2013). Dynamic modeling and stability analysis of an experimental test bench for electric-ship propulsion. In Proc. IEEE Electric Ship Technologies Symposium (ESTS), April, pp. 22-24. [29] Ahmadi, R., Fajri, P., & Ferdowsi, M. (2013). Dynamic modeling and stability analysis of an experimental test bench for electric-drive vehicle emulation. In Proc. IEEE Power and Energy Conference at Illinois (PECI), Feb, pp. 22-23. [30] Ahmadi, R., Kashyap, A., Berrueta Irigoyen, A., Rayachoti, A., Wright, C., & Kimball, J. (2013). Selective source power converter for improved photovoltaic power utilization. In Proc. Power and Energy Conference at Illinois (PECI), Feb, pp. 22-23. [31] Behjati, H., Ahmadi, R., & Kimball, J. W. (2013). Input voltage control of SEPIC for maximum power point tracking. In Proc. Power and Energy Conference at Illinois (PECI), Feb, pp. 22-23. [32] Behjati, H., Davoudi, A., & Ahmadi, R. (2013). Sculpting the dynamic response of PWM dc-dc converters in an arbitrary shape using WPI control technique. In Proc. Electric Ship Technologies Symposium (ESTS), April, pp. 22-24. [33] Fajiri, P., Ahmadi, R., & Ferdowsi, M. (2013). Test bench for emulating electric-drive vehicle systems using equivalent vehicle rotational inertia. In Proc. IEEE Power and Energy Conference at Illinois (PECI), Feb, pp.22-23. [34] Fajri, P., Ahmadi, R., & Ferdowsi, M. (2013). Control approach based on equivalent vehicle rotational inertia suitable for motor-dynamometer test bench emulation of electric vehicles. In Electric Machines & Drives Conference (IEMDC), 2013 IEEE International, pp. 1155-1159. [35] Ahmadi, R., & Ferdowsi, M. (2012). Controller design method for a cascaded converter system comprised of two dc/dc converters considering the effects of mutual interactions. In Proc. IEEE Appl. Power Electron. Conf., Feb, pp. 1838-1844. [36] Ahmadi, R., Fajri, P., & Ferdowsi, M. (2012). Performance improvement of a dc-dc converter feeding a telecommunication specific distributed power system using dynamic decoupling design. In Proc. Telecommunications Energy Conference (INTELEC), Oct, pp. 1-7. [37] Ahmadi, R., Zargarzadeh, H., & Ferdowsi, M. (2012). Nonlinear power sharing controller for double-input H-bridge based converters. In Proc. IEEE Appl. Power Electron. Conf., Feb, pp. 200-206. [38] Fajri, P., Ahmadi, R., & Ferdowsi, M. (2012). Equivalent vehicle rotational inertia used for electric vehicle test bench dynamic studies. In Proc. 28th Annual Conference on IEEE Industrial Electronics Society, Oct, pp. 25-28. [39] Shi, L., Ahmadi, R., & Ferdowsi, M. (2012). Dynamic response improvement in H-bridge enhanced buck converter. In Proc. IEEE Appl. Power Electron. Conf., Feb, pp. 1880-1886. [40] Ahmadi, R., & Ferdowsi, M. (2011). Canonical small-signal model of double-input converters based on H- bridge cells. In Proc. Energy Convers. Congr. Expo., Sep, pp. 3946-3953. [41] Ahmadi, R., Paschedag, D., & Ferdowsi, M. (2011). Analyzing stability issues in a cascaded converter system comprised of two voltage-mode controlled dc-dc converters. In Proc. IEEE Appl. Power Electron. Conf., Mar, pp. 1769-1775. [42] Ahmadi, R., Yousefpoor, N., & Ferdowsi, M. (2011). Power sharing analysis of double-input converters based on H-bridge cells. In Proc. Electric Ship Technol. Symp., Apr, pp. 111-114. [43] Ahmadi, R., Paschedag, D., & Ferdowsi, M. (2010). Closed-loop input and output impedances of dc-dc switching converters operating in voltage and current mode control. In Proc. IEEE Ind. Electron. Conf., Nov, pp. 2311-2316. [44] Pourshaghaghi, H. R., Ahmadi, R., Jahed-Motlagh, M. R., & Kia, B. (2010). Experimental realization of a reconfigurable three input, one output logic function based on a chaotic circuit. In International Journal of Bifurcation and Chaos (Vol. 20, No. 3, pp. 715-726). [45] Pourshaghaghi, H., Ahmadi, R., & Jahed-Motlagh, M. R. (2009). Reconfigurable logic blocks based on a discrete chaotic circuit: Implementation of all fundamental two input, one output logic functions. In Proc. Second IFAC Conference. on Analysis and Control of Chaotic Systems, June, pp. 1-6. Show Selected Publications 2 EECS Application Login EECS Gradplanner Login EECS Shop Department Events Please update your browser to view the iframe content. Your browser must support JavaScript to view this content. Please enable JavaScript in your browser settings then try again. KU Today Students to present at Kansas Undergraduate Research Day at the Capitol All KU News Give to KU Why KU Apply High school seniors can apply to the SELF Program, a four-year enrichment and leadership experience Engineering students build concrete canoes, Formula race cars, unmanned planes, and rockets for competitions nationwide More first and second place awards in student AIAA aircraft design contests than any other school in the world One of 34 U.S. public institutions in the prestigious Association of American Universities 44 nationally ranked graduate programs. 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Giving Tech Help Search Search form Search Home Christopher Allen CHRISTOPHER ALLEN Christopher Allen Professor callen@ku.edu 1 Primary office : 785-864-8801 3024 Eaton Hall Summary 2 Bio 3 Academics 4 Publications 5 Awards/Honors 6 Primary Research Interests Lightwave/Photonics Systems and Devices Radar Systems Design and Analysis Education Ph.D. in Electrical Engineering, University of Kansas, Lawrence, 1984 (Honors) M.S. in Electrical Engineering, University of Kansas, Lawrence, 1982 B.S. in Electrical Engineering, University of Kansas, Lawrence, 1980 (with highest distinction) Teaching Electronic Circuits Senior Design Laboratory High-Speed Digital Circuit Design Microwave Remote Sensing Intro to Radar Affiliations Kansas Applied Research Lab (KARL) Information and Telecommunication Technology Center (ITTC) Center for Remote Sensing of Ice Sheets (CReSIS) Research Lightwave/photonics systems and devices Microwave remote sensing Radar system design and analysis Memberships Institute of Electrical and Electronics Engineers (IEEE) Selected Publications link 7 to Google Scholar Recent Publications Journal Papers Al Aziz M; Allen CT ; "Experimental Results of a Differential Angle-of-Arrival Based 2D Localization Method Using Signals of Opportunity," International Journal of Navigation and Observation , v. 2018, Article ID 5470895, 6 pages, 2018. doi:10.1155/2018/5470895. Kunwar S; Abbasi R; Allen C ; Belz J; Besson D; Byrne M; Farhang-Boroujeny B; Gillman WH; Hanlon W; Hanson J; Myers I; Novikov A; Prohira S; Ratzlaff K; Rezazadeh A; Sanivarapu V; Schurig D; Shustov A; Smirnova M; Takai H; Thomson GB; Young R; Design, Construction and Operation of a Low-Power, Autonomous Radio-Frequency Data-Acquisition Station for the TARA Experiment, Nucl. Instr. Meth. Phys. Res. , pp. 110-120, 2015. Patents Allen CT ; Keshmiri SS; Al Aziz M; Techniques for navigating UAVs using ground-based transmitters, US Patent 9,945,931, issued April 17, 2018. Allen CT ; Shuey TD; Hui R; Low-altitude altimeter and method, U.S. Patent 8,583,296 issued November 12, 2013 * U.S. Patent 9,008,869 issued April 14, 2015. Refereed Conference Proceedings Harnett L; Hemmingsen D; McCormick P; Blunt SD; Allen C ; Martone A; Sherbondy K; Wikner D; Optimal and adaptive mismatch filtering for stretch processing, 2018 IEEE Radar Conference (RadarCon) , Oklahoma City, OK, pp. 682-686, 23 April 2018. Owen J; Ravenscroft B; Kirk B; Blunt SD; Allen C ; Martone A; Sherbondy K; Narayamam R; Experimental demonstration of cognitive spectrum sensing & notching radar, 2018 IEEE Radar Conference (RadarCon) , Oklahoma City, OK, pp. 957-962, 23 April 2018. Owen J; Blunt SD; Gallagher K; McCormick P; Allen C ; Sherbondy K; Nonlinear radar via intermodulation of FM noise waveform pairs, 2018 IEEE Radar Conference (RadarCon) , Oklahoma City, OK, pp. 951-956, 23 April 2018. Zook G; McCormick PM; Blunt SD; Allen C ; Jakabosky J; Dual-polarized FM noise radar, Hemmingsen DM; McCormick PM; Blunt SD; Allen C; Martone A; Sherbondy K; Wikner D; Waveform-diverse stretch processing, 2018 IEEE Radar Conference (RadarCon) , Oklahoma City, OK, pp. XX-YY, 23 April 2018. Show All Publications 2 All Publications link 7 to Google Scholar Refereed Journal Papers (In Print) Al Aziz M; Allen CT ; "Experimental Results of a Differential Angle-of-Arrival Based 2D Localization Method Using Signals of Opportunity," International Journal of Navigation and Observation , v. 2018, Article ID 5470895, 6 pages, 2018. doi:10.1155/2018/5470895. Kunwar S; Abbasi R; Allen C ; Belz J; Besson D; Byrne M; Farhang-Boroujeny B; Gillman WH; Hanlon W; Hanson J; Myers I; Novikov A; Prohira S; Ratzlaff K; Rezazadeh A; Sanivarapu V; Schurig D; Shustov A; Smirnova M; Takai H; Thomson GB; Young R; Design, Construction and Operation of a Low-Power, Autonomous Radio-Frequency Data-Acquisition Station for the TARA Experiment, Nucl. Instr. Meth. Phys. Res. , pp. 110-120, 2015. Abbasi R; Othman MAB; Allen C ; Beard L; Belz J; Besson D; Byrne M; Farhang-Boroujeny B; Gardner A; Gillman WH; Hanlon W; Hanson J; Jayanthmurthy C; Kunwar S; Larson SL; Myers I; Prohyra S; Ratzlaff K; Sokolsky P; Takai H; Thomson GB; Von Maluski D; Telescope Array Radar (TARA) Observatory for Ultra-High Energy Cosmic Rays, Nucl. Instr. Meth. Phys. Res. A , v. 767, pp. 322-338, 11 December 2014. Laird CM; Blake WA; Matsuoka K; Conway H; Allen CT ; Leuschen CJ; Gogineni S; "Deep ice stratigraphy and basal conditions in central West Antarctica revealed by coherent radar," IEEE Geoscience and Remote Sensing Letters , 7(2), pp. 246-250, 2010. Paden J; Akins T; Dunson D; Allen C ; Gogineni P; "Ice sheet bed 3D tomography," Journal of Glaciology , 56(195), pp. 3-11, 2010. Adany P; Allen C ; Hui R; "Chirped lidar using simplified homodyne detection," Journal of Lightwave Technology , 27(16), pp. 3351-3357, 2009. Jianga J; Richards D; Allen C ; Oliva S; Hui R; "Non-intrusive polarization dependent loss monitoring in fiber-optic transmission systems," Optics Communications , 281(18), pp. 4631-4633, 2008. Gogineni S; Braaten D; Allen CT ; Paden J; Akins T; Kanagaratnam P; Jezek K; Prescott G; Jayaraman G; Ramasami V; Lewis C; Dunson D; "Polar Radar for Ice Sheet Measurements (PRISM)", Remote Sensing of Environment , 111, pp. 204-211, 2007. Marathe KC; Jara VA; Akins T; Kanagaratnam P; Gogineni S; Jezek K; Allen C ; Braaten D; "Airborne radar demonstrator for imaging of ice-bed interface," EOS Trans. AGU , 87(52), Fall Meet. Suppl., Abstract C21A-1135, 2006. Jezek K; Rodgriquez E; Gogineni P; Freeman A, Curlander J, Wu X, Paden J, Allen C , "Glaciers and ice sheets mapping orbiter concept," Journal of Geophysical Research , 111, E06S20, doi:10.1029/2005JE002572, 2006. Allen CT ; Mozaffar SN; Akins TL; "Suppressing coherent noise in radar applications with long dwell times," IEEE Geoscience and Remote Sensing Letters , 2(3), pp. 284-286, 2005. Paden JD; Allen CT ; Gogineni S; Dahl-Jensen D; Larsen LB; Jezek KC; "Wideband measurements of ice sheet attenuation and basal scattering," IEEE Transactions on Geoscience and Remote Sensing Letters , 2(2), pp. 164-168, 2005. Kondamuri PK; Allen C ; Richards DL; "Laplacian pdf of DGD time derivative and application to predicting PMD-induced outage rates," Electronics Letters , 40(8), pp. 503-504, 2004. Allen CT ; Kondamuri PK; Richards DL; Hague DC;, "Measured temporal and spectral PMD characteristics and their implications for network-level mitigation approaches," Journal of Lightwave Technology , 21(1), pp. 79-86, 2003. Hui R; Thomas J; Allen C ; Fu B; Gao S; "Low-coherent, WDM reflectometry for accurate fiber length monitoring," IEEE Photonics Technology Letters , 15(1), pp. 96-98, 2003. Hui R; Allen C ; Demarest K; "PMD-insensitive SCM optical receiver using polarization diversity," IEEE Photonics Technology Letters , 14(11), pp 1632-1634, 2002. Hui R; Zhu B; Huang R; Allen CT ; Demarest KR; Richards D; "Subcarrier multiplexing for high-speed optical transmission," Journal of Lightwave Technology , 20(3), pp. 417-427, 2002. Gogineni S; Tammana D; Braaten D; Leuschen C; Akins T; Legarsky J; Kanagaratnam P; Stiles J; Allen C ; Jezek K; "Coherent radar ice thickness measurements over the Greenland ice sheet," Journal of Geophysical Research (Climate & Physics of the Atmosphere) , 106, no. D24, pp. 33761-33772, 2001. Hui, R; Zhu B; Huang R; Allen C C; Demarest K; Richards D; "10-Gb/s SCM fiber system using optical SSB modulation," IEEE Photonics Technology Letters , 13(8), pp. 896-898, 2001. Pua HY; Peddanarappagari K; Zhu B; Allen CT ; Demarest K; Hui R; "An adaptive first-order polarization-mode dispersion compensation system: theory and demonstration," Journal of Lightwave Technology , 18(6), pp. 832-841, 2000. Song S; Allen C ; Demarest KR; Hui R; "A novel method for measuring polarization-mode dispersion using four-wave mixing," Journal of Lightwave Technology , 17(12), pp. 2530-2533, 1999. Song S; Allen C ; Demarest K; Hui R; "Intensity-dependent phase-matching effects on four-wave mixing in optical fiber," Journal of Lightwave Technology , 17(11), pp. 2285-2290, 1999. Joughin I; Fahnestock M; Kwok R; Gogineni P; Allen C ; "Ice flow of Humboldt, Petermann, and Ryder Glaciers, North Greenland," Journal of Glaciology , 45(150), pp. 231-241, 1999. Johnson C; Demarest K; Allen C ; Hui R; Peddanarappagari KV; Zhu B; "Multiwavelength, all-optical clock recovery," IEEE Photonics Technology Letters , 11(7), pp. 895-897, 1999. Hui R; Demarest K; Allen C ; "Cross-phase modulation in multi-span WDM optical fiber systems," IEEE Journal of Lightwave Technology , 17(6), pp. 1018-1026, 1999. Hui R; Zhu B; Demarest K; Allen C ; Hong J; "Generation of ultrahigh-speed tunable-rate optical pulses using strongly gain-coupled dual wavelength DFB laser diodes," IEEE Photonics Technology Letters , 11(5), pp. 518-520, 1999. Gogineni S; Chuah T; Allen C ; Jezek K; Moore RK; "An improved coherent radar depth sounder," Journal of Glaciology , 44(148), pp. 659-669, 1998. Allen CT ; Shi K; Plumb RG; "The use of ground-penetrating radar with a cooperative target," IEEE Transactions on Geoscience and Remote Sensing, 36(5), pp. 1821-1825, 1998. Hui R; Wang Y; Demarest K; Allen C ; "Frequency response of cross-phase modulation in multi-span WDM optical fiber systems," IEEE Photonics Technology Letters , 10(9), pp. 1271-1273, 1998. Allen C ; Bean A; Besson D; Frichter G; Juett A; Karle A; Kotov S; Kravchenko I; McKay D; Miller TC; Piccirillo L; Ralston J; Seckel D; Seunarine S; Spiczak GM ; "Status of the Radio Ice Cherenkov Experiment (RICE)," New Astronomy Reviews , v. 42, pp. 319-329, 1998. Dahl-Jensen D; Gundestrup NS; Keller K; Johnsen SJ; Gogineni SP; Allen CT ; Chuah TS; Miller H; Kipfstuhl S; Waddington ED; "A search in north Greenland for a new ice-core drill site," Journal of Glaciology , 43(144), pp. 300-306, 1997. Fang X; Ji H; Pelz L; Demarest K; Allen C ; "A dc to multigigabit/s polarization-independent modulator based on Sagnac interferometer," IEEE Journal of Lightwave Technology , 15(11), pp. 2166-2171, 1997. Fang X; Demarest K; Ji H; Allen C ; Pelz L; "A sub-nanosecond polarization-independent tunable filter/wavelength router using a Sagnac interferometer," IEEE Photonics Technology Letters , 9(11), pp. 1490-1492, 1997. Allen C ; Gogineni S; Wohletz B; Jezek K; Chuah TS; "Airborne radio echo sounding of outlet glaciers in Greenland," International Journal of Remote Sensing , 18(14), pp. 3103-3107, 1997. Fang X; Ji H; Allen CT ; Demarest K; Pelz L; "A compound high-order polarization-independent birefringence filter using Sagnac interferometers," IEEE Photonics Technology Letters , 9(4), pp. 458-460, 1997. Ulaby FT; Allen CT ; Eger III G; Kanemasu E; "Relating the microwave backscattering coefficient to leaf-area index," Remote Sensing of the Environment , 14, pp. 113-133, 1984. Ulaby FT; Allen CT ; Fung AK; "Method for retrieving the true backscattering coefficient from measurements with a real antenna," IEEE Transactions on Geoscience and Remote Sensing , GE-21(3), pp. 308-313, 1983. Other Refereed Papers Allen C ; Shi L; Hale R; Leuschen C; Paden J; Panzer B; Arnold E; Blake W; Rodriguez-Morales F; Ledford J; Seguin S; "Antarctic Ice Depthsounding Radar Instrumentation for the NASA DC-8," IEEE Aerospace and Electronic Systems Magazine , 27(3), pp. 4-20, 2012. Player K; Shi L; Allen C ; Leuschen C; Ledford J; Rodriguez-Morales F; Blake W; Panzer B; Seguin S; "A multi-channel depth-sounding radar with an improved power amplifier," High Frequency Electronics , 9(10), pp. 18-29, 2010. Allen C ; "A brief history of radio echo sounding of ice," Earthzine , Sept 26, 2008 (invited). Allen C ; Paden J; "Synthetic-aperture radar images polar ice-sheet bed," SPIE Newsroom , DOI: 10.1117/2.1200706.0780, June 11, 2007. Jezek K; Braaten D; Gogineni S; van der Veen C; Allen C ; Alley R; Allison I; Anandakrishnan S; Bindschadler R; Bowen C; Bromwich D; Colgren R; Dahl-Jensen D; Downing D; Ewing M; Fastook J; Hale R; Hayden L; Hughes T; Joughlin I; Krabill W; Landis C; LeCompte M; Leuschen C; Mosely-Thompson E; Pollard D; Prescott G; Rignot E; Thompson L; Webber G; Wingham D; Zagorodnov V, "Center for remote sensing of ice sheets (CReSIS)," EOS Transactions ? Supplementary material to "New Aircraft Will Survey Ice Sheets to Understand Rapid Change", 18 September 2007. Richards D; Allen C ; Demarest K; Hui R; "Legacy fiber meets long-haul network needs," WDM Solutions , pp. 14-17, March/April 2003. Allen C ; Plumb R; "Preface," to Special Issue on the 7th International Conference on Ground Penetrating Radar, Journal of Applied Geophysics , 43, pp. 117-118, 2000. Lohmeier SP;Stiles JM; Allen CT ; Gogineni P; Moore RK; "The Radar Systems and Remote Sensing Laboratory (RSL) at the University of Kansas," IEEE Geoscience and Remote Sensing Society Newsletter , Issue #113, pp. 11-16, March 2000. Allen CT ; "Interferometric synthetic aperture radar," IEEE Geoscience and Remote Sensing Society Newsletter , Issue #96, pp. 6-13, Sept. 1995. INVITED Patents (Issued) Allen CT ; Keshmiri SS; Al Aziz M; Techniques for navigating UAVs using ground-based transmitters, US Patent 9,945,931, issued April 17, 2018. Allen CT ; Shuey TD; Hui R; Low-altitude altimeter and method, U.S. Patent 8,583,296 issued November 12, 2013 * U.S. Patent 9,008,869 issued April 14, 2015. Hui, R; Allen C ; Adany, P; "Coherent detection scheme for FM chirped laser radar," U.S. Patent 7,742,152, issued June 22, 2010. Richards DL; Allen CT ; Hague DC; Jones ML; "Identification of polarization-mode dispersion on a communication network," U.S. Patent US7,221,871, issued May 22, 2007 * U.K. Patent GB2404295, issued June 14, 2006. Stump GS; Allen CT ; "Apparatus and method for horizontal drilling," U.S. Patent 7,182,151, issued February 27, 2007. Hui R; Allen CT ; Demarest KR; "Optical systems with diversity detection," U.S. Patent 6,999,688, issued February 14, 2006. Stump GS; Allen CT ; "Apparatus and method for horizontal drilling," U.S. Patent 6,886,644, issued May 3, 2005. Richards DL; Allen CT ; Hague DC; "Identifying a polarization-mode dispersion event," U.S. Patent 6,781,679 issued August 24, 2004. Pua HY; Allen C ; Demarest K; Hui R; Peddanarappagari KV; "Method and apparatus to compensate for polarization mode dispersion," U.S. Patent 6,647,176, issued November 11, 2003. Demarest K; Johnson C; Allen C ; Hui R; Zhu B; "Method and apparatus for recovering an optical clock signal," U.S. Patent 6,542,274 issued April 1, 2003. Pua HY; Allen C ; Demarest K; Hui R; Peddanarappagari KV; "Method and apparatus to compensate for polarization mode dispersion," U.S. Patent 6,459,830, issued October 1, 2002. Stump GS; Allen CT ; "Apparatus and method for detecting a location and an orientation of an underground boring tool," U.S. Patent Number 6,435,286 issued August 20, 2002. Stump GS; Allen CT ; "Apparatus and method for controlling an underground boring tool," U.S. Patent Number 6,161,630 issued December 19, 2000. Pelz LJ Jr; Ji H; Fang X; Allen C ; Demarest KR; Frost VS; "Method and apparatus for controlling an optical signal," U. S. Patent Number 5,970,188, issued October 19, 1999. Stump GS; Allen CT ; "Apparatus and method for detecting a location and an orientation of an underground boring tool," U. S. Patent Number 5,904,210, issued May 18, 1999. Stump GS; Allen CT ; "Apparatus and method for detecting an underground structure," U. S. Patent Number 5,819,859 issued October 13, 1998. Stump GS; Allen CT ; "Trenchless underground boring system with boring tool location," U.S. Patent Number US5,720,354, issued February 24, 1998 * Australian Patent Number AU1688897A1 issued August 1, 1997 * Austrian Patent Number AT215174T issued April 15, 2002 * Brazilian Patent Number BR9612401A, issued December 28, 1999 * Canadian Patent Number CA2241808AA, issued July 17, 1997 * Chinese Patent Number . CN1209184A, issued February 24, 1999 * European Patent Number EP873465A1, issued October 28, 1998 * German Patent Mumber DE69620242D issued May 2, 2002 * Hong Kong Patent Number HK1018298 issued December 17, 1999 * Irish Patent Number IE0873465 issued March 27, 2002 * Japanese Patent Number JP2000-503088T, issued March 14, 2000 * Russian Patent Number RU2175368, issued October 27, 2001 * World Intellectual Property Organization Number WO9725519A1, issued July 17, 1997 Refereed Conference Proceedings Harnett L; Hemmingsen D; McCormick P; Blunt SD; Allen C ; Martone A; Sherbondy K; Wikner D; Optimal and adaptive mismatch filtering for stretch processing, 2018 IEEE Radar Conference (RadarCon) , Oklahoma City, OK, pp. 682-686, 23 April 2018. Owen J; Ravenscroft B; Kirk B; Blunt SD; Allen C ; Martone A; Sherbondy K; Narayamam R; Experimental demonstration of cognitive spectrum sensing & notching radar, 2018 IEEE Radar Conference (RadarCon) , Oklahoma City, OK, pp. 957-962, 23 April 2018. Owen J; Blunt SD; Gallagher K; McCormick P; Allen C ; Sherbondy K; Nonlinear radar via intermodulation of FM noise waveform pairs, 2018 IEEE Radar Conference (RadarCon) , Oklahoma City, OK, pp. 951-956, 23 April 2018. Zook G; McCormick PM; Blunt SD; Allen C ; Jakabosky J; Dual-polarized FM noise radar, Hemmingsen DM; McCormick PM; Blunt SD; Allen C; Martone A; Sherbondy K; Wikner D; Waveform-diverse stretch processing, 2018 IEEE Radar Conference (RadarCon) , Oklahoma City, OK, pp. XX-YY, 23 April 2018. Ravenscroft R; Blunt SD; Allen C ; Martone A; Sherbondy K; Analysis of spectral notching in FM noise radar using measured interference, IET Intl. Radar Conf , Belfast, UK, Oct. 2017. Blunt SD; Allen C ; Arnold E; Hale R; Hui R; Keshmiri S; Leuschen C; Li J; Paden J; Rodriquez-Morales F; Salandrino A; Stiles J; Radar Research at the University of Kansas, Proc. SPIE 10188, Radar Sensor Technology XXI , 1018817 (May 1, 2017); doi:10.1117/12.2268911. Jakabosky J; Blunt SD; Mokole EL; Allen C ; Recent Developments on Spectral Containment of Radar Signals, 2016 USNC-URSI North American Radio Science Meeting (NRSM), Boulder, CO, 6-9 January 2016. McCormick P; Jakabosky J; Blunt S; Allen C ; Himed B; Joint polarization/waveform design and adaptive receive processing, 2015 IEEE Radar Conference (RadarCon) , Arlington, VA, pp. 1382-1387, May 10-15, 2015. Ryan L; Jakabosky J; Blunt S; Allen C ; Cohen L; Optimizing Polyphase-Coded FM Waveforms Within a LINC Transmit Architecture, 2014 IEEE International Radar Conference , Cincinnati, OH, pp. 835-839, May 19-23, 2014. Shi L; Allen C ; Ewing M; Keshmiri S; Zakharov M; Florencio F; Niakan N; Knight R; Multichannel sense-and-avoid radar for small UAVs, 32nd Digital Avionics Systems Conference (DASC) , Syracuse, NY, Oct 6-10, 2013. Abou Bakr Othman M; Allen C ; Belz J; Besson D; Farhang-Boroujeny B; Gardner A; Hanlon W; Hanson J; Ikeda D; Jayanthmurthy C; Kravchenko I; Kunwar S; Larson S; Lundquist J; Myers I; Nakamura T; Rankin JS; Sagawa H; Sokolsky P; Takai H; Terasawa T; Thomson GB; Vasiloff G; "Bistatic Radar Detection of UHECR with TARA," 33rd International Cosmic Ray Conference , Rio de Janeiro, July 2-9, 2013. Abou Bakr Othman M; Allen C ; Belz J; Besson D; Farhang-Boroujeny B; Gardner A; Hanlon W; Hanson J; Ikeda D; Jayanthmurthy C; Kravchenko I; Kunwar S; Larson S; Lundquist J; Myers I; Nakamura T; Rankin JS; Ratzlaff K; Sagawa H; Sokolsky P; Takai H; Terasawa T; Thomson GB; Vasiloff G; "Searching for Cosmic Ray Radar Echoes in TARA Data," 33rd International Cosmic Ray Conference , Rio de Janeiro, July 2-9, 2013. Belz J; Abou Bakr Othman M; Allen C ; Barcikowski E; Besson D; Farhang-Boroujeny B; Ikeda D; Hanlon W; Kunwar S; Lundquist JP; Kravchenko I; Larson S; Myers I; Nakamura T; Rankin JS; Sagawa H; Sololsky P; Takai H; Terasawa T; Thomson GB; "TARA: Forward-Scattered Radar Detection of UHECR at the Telescope Array," Proceedings of UHECR-2012 , CERN Geneva, Switzerland, Feb 15, 2012. Abou Bakr Othman M; Allen C ; Belz J; Besson D; Farhang-Boroujeny B; Ikeda D; Kravchenko I; Kunwar S; Lundquist J; Myers I; Nakamura T; Sagawa H; Sololsky P; Takai H; Terasawa T; Thomson GB; "Radar detection of UHECR air showers at the telescope array," 32nd International Cosmic Ray Conference , Bejing, China, Aug 17, 2011. Allen C ; Blake W; Leuschen C; Paden J; Gogineni P; Dahl-Jensen D; Harish A; "Ice bed topography mapping using InSAR and tomographic processes," 2011 IEEE Radar Conference , Kansas City, Missouri, pp. 793-797, May 24-26, 2011. Shi L; Byers KJ; Seguin SA; Allen C ; Leuschen CJ; Ledford J; "Multi-channel coherent radar depth sounder electromagnetic interference on-board NASA DC-8," 2011 IEEE Radar Conference , Kansas City, Missouri, pp. 1010-1014, May 24-26, 2011. Studinger M; Allen C ; Blake W; Shi L; Elieff S; Krabill WB; Sonntag JG; Martin S; Dutreiux P; Jenkins A; Bell RE; Young D; Holt J; Rignot E; Kirchner D; Yong-Gyu G; Garamgois S; "Mapping Pine Island Glacier's sub-ice cavity with airborne gravimetry," International Glaciological Society International Symposium on Interactions of Ice Sheets and Glaciers with the Ocean , abstract 60A016, San Diego, California, June 2011. Abou Bakr Othman M; Allen C ; Belz J; Besson D; Farhang-Boroujeny B; Ikeda D; Kunwar S; Lundquist J; Kravchenko I; Myers I; Nakamura T; Sagawa H; Sololsky P; Takai H; Terasawa T; Thomson GB; "Air Shower Detection by Bistatic Radar," International Symposium on the Recent Progress of Ultra-High Energy Cosmic Ray Observation, AIP Conference Proceedings , vol. 1367, pp. 143-146, Aichi, Japan, Dec 10-12, 2010. Paden J; Blake W; Gogineni P; Leuschen C; Allen C ; Dahl-Jensen, D.; "3D imaging radar for deep ice core site selection" abstract C13B-0564, 2010 Fall Meeting, AGU , San Francisco, Calif., 13-17 Dec 2010. Leuschen C; Gogineni SP; Allen C ; Paden JD; Hale R; Rodriguez-Morales R; Harish A; Seguin S; Arnold E; Blake W; Byers K; Crowe R; Lewis C; Panzer B; Patel A; Shi L; "The CReSIS Radar Suite for Measurements of the Ice Sheets and Sea Ice during Operation Ice Bridge", abstract C44A-02, 2010 Fall Meeting, AGU , San Francisco, Calif., 13-17 Dec 2010. Studinger M; Allen C ; Blake W; Shi L; Elieff S; Krabill WB; Sonntag JG; Martin S; Dutreiux P; Jenkins A; Bell RE; "Mapping Pine Island Glacier's Sub-ice Cavity with Airborne Gravimetry," abstract C11A-0528, 2010 Fall Meeting, AGU , San Francisco, Calif., 13-17 Dec 2010. Rodriguez-Morales F; Gogineni P; Leuschen C; Allen C ; Lewis C; Patel A; Byers K; Smith L; Shi L; Panzer B; Blake W; Crowe R; Gifford C; "Development of a multi-frequency airborne radar instrumentation package for ice sheet mapping and imaging," Digest of the IEEE International Microwave Symposium 2010 , pp. 157-160, 23-28 July 2010. Blake W; Shi L; Meisel J; Allen C ; Gogineni P; "Airborne 3D basal DEM and ice thickness map of Pine Island Glacier," Proceedings of the 2010 International Geoscience and Remote Sensing Symposium (IGARSS '10) , Honolulu, HI, pp. 2503-2506, July 25, 2010. Shi L; Allen C ; Ledford JR; Rodriguez-Morales F; Blake W; Prokopiack S; Leuschen C; Gogineni P; "Multichannel coherent radar depth sounder for NASA Operation Ice Bridge," Proceedings of the 2010 International Geoscience and Remote Sensing Symposium (IGARSS '10) , Honolulu, HI, pp. 1729-1732, July 25, 2010. Paden J; Allen C ; Gogineni P; "3D imaging of ice sheets," Proceedings of the 2010 International Geoscience and Remote Sensing Symposium (IGARSS '10), Honolulu, HI, pp. 2611-2613, July 25, 2010. Laird CM; W. A. Blake, Gogineni PS; Allen C ; Leuschen CJ; Braaten DA; "Characterization of Deep Internal Layers and Basal Conditions Around the WAIS Divide Drill Site by Surface-Based Radar," Eos Trans. AGU , 89(53), Fall Meet. Suppl., Abstract C31A-0463, 2008. Blake W; Ledford J; Allen C ; Leuschen C; Gogineni S; Rodriguez-Morales F; Shi L;; "A VHF radar for deployment on a UAV for basal imaging of polar ice," Proceedings of the 2008 International Geoscience and Remote Sensing Symposium (IGARSS '08) , Boston, MA, volume IV, pp. 498-501, July 10, 2008. Rodriguez-Morales, F; Gogineni P; Jezek K; Allen C ; Leuschen C; Marathe K; Jara-Olivares V; Hoch A; Li J; Ledford J; "Dual-frequency and multi-receiver radars for sounding and imaging polar ice sheets," EUSAR 2008 Electronic Proceedings, 8th Annual European Conference on Synthetic Aperture Radar , pp. 95-98, Friedrichshafen, Germany, June 2-5, 2008. Allen C ; Paden J; Dunson D; Gogineni P; "Ground-based multi-channel synthetic-aperture radar for mapping the ice-bed interface," 2008 IEEE Radar Conference , Rome, Italy, pp. 1428-1433, May 26-29, 2008. Marathe KC; Jara VA; Raghunandan S; Ledford J; Rodriguez-Morales F; Gogineni S; Allen C ; Akins T; Kanagaratnam P; Jezek K; "Dual-Band Airborne Radar for Mapping the Internal and Basal Layers of Polar Ice Sheets," International Workshop on Snow, Ice, Glacier and Avalanches , Mumbai, India, 7-9 Jan 2008. Blunt SD; Stiles J; Allen C ; Deavours D; Perrins E; "Diversity aspects of radar-embedded communications," International Conference on Electromagnetics in Advanced Applications (ICEAA '07) , Torino, Italy, pp. 439-442, September 17-21, 2007. Adany P; Hui R; Allen C ; "Simplified coherent detection scheme for FM chirped laser radar," Coherent Optical Technologies and Applications , Whistler, BC, Canada, paper CFB6, June 28-30, 2006. Jezek K; Rodriguez E; Gogineni P; Freeman A; Curlander J; Wu X; Allen C ; Krabill W; Sonntag J; "Glaciers and Ice Sheets Mapping Orbiter Concept," EUSAR 2006, Electronic Proceedings, 6th Annual European Conference on Synthetic Aperture Radar , Dresden Germany, ISBN 978-3-8007-2960-9, May 2006. Gogineni S; Paden J; Akins T; Allen C ; Braaten D; Jezek K; "Wideband synthetic aperture radar imaging of sub-surface interfaces in glacial ice," EUSAR 2006, Electronic Proceedings, 6th Annual European Conference on Synthetic Aperture Radar , Dresden Germany, ISBN 978-3-8007-2960-9, May 2006. Jezek K; Rodriguez E; Gogineni P; Freeman A; Curlander J; Wu X; Allen C ; Kaagaratnam P; Sonntag J; Krabill W; "Glaciers and Ice Sheet Mapping Orbiter," EOS Trans., AGU , 86(52), Fall Meet. Suppl., Abstract IN13B-1092, 2005. Forster R; Jezek K; Rodriguez E; Gogineni S; Freeman A; Curlander J; Wu X; Allen C ; Kanagaratnam; Sonntag J; Krabill W; "Global Ice Sheet Mapping Orbiter", FRINGE 2005 Workshop, Advances in SAR Interferometry from ENVISAT and ERS missions" , European Space Agency, ESRIN Frascati, Italy 28 November - 2 December 2005. Gogineni S; Jezek K; Paden J; Allen C ; Kanagaratnam P; Akins T; "Radar imaging and sounding of polar ice sheets," URSI General Assembly , New Delhi, 2005. Curlander J; Jezek K; Rodriguez E; Freeman A; Gogineni P; Paden J; Allen C ; Wu X; "Glaciers and Ice Sheets Mapping Orbiter," Advanced SAR Workshop , Montreal, Quebec, 2005. Kondamuri PK; Allen C ; Richards DL; "Variation of PMD-induced outage rates and durations with link length on buried standard single-mode fibers," Technical Digest Optical Fiber Communications Conference 2005 (OFC'05) , Anaheim, California, pp. OThX3-1-OThX3-3, March 7, 2005. Harris DL; Kondamuri PK; Pan J; Allen C ; "Temperature dependence of wavelength-averaged DGD on different buried fibers," Lasers and Electro-Optics Society, 2004 (LEOS 2004) , San Juan, Puerto Rico, pp. 84-85, November 8, 2004. Harris DL; Kondamuri PK; Huang R; Pan J; Allen C ; "First and second order PMD statistical properties of installed fiber," Lasers and Electro-Optics Society, 2004 (LEOS 2004) , San Juan, Puerto Rico, pp. 86-87, November 8, 2004. Brown KD; Allen C ; "Dynamic tracking phased array data links," Conference Proceedings of the Fortieth Annual International Telemetering Conference , San Diego, CA, pp. 240-245, October 20, 2004. Kondamuri PK; Allen C ; Richards DL; "Study of the variation of the Laplacian parameter of DGD time derivative with fiber length using measured DGD data," Symposium on Optical Fiber Measurements , Boulder, CO, pp. 91-94, Sept. 28-30, 2004. Paden J; Mozaffar S; Dunson D; Allen C ; Gogineni S; Akins T; "Multiband multistatic synthetic aperture radar for measuring ice sheet basal conditions," Proceedings of the 2004 International Geoscience and Remote Sensing Symposium (IGARSS '04), Anchorage, AK, pp. 136-139, Sept. 20, 2004. Allen C ; Taylor RD; Stone JR; "Insertion-loss measurement accuracy for fiber-optic components -- an analysis," 2003 SAE Aerospace Electrical Interconnect Systems Symposium , Nashville, TN, CD-ROM, Oct. 22, 2003. Paden J; Allen C ; Gogineni S; "Polar ice sheet propagation model for ground-based broadband VHF synthetic aperture radar," Progress in Electromagnetics Research Symposium (PIERS) , Honolulu, HI, p. 34, Oct. 13-16, 2003. Richards D; Allen C ; Hague D; "DWDM system identification of a PMD-induced event: cost effective event labeling," Proceedings of the National Fiber Optic Engineers Conference , Orlando, FL, CD-ROM, Sept. 7-11, 2003. Allen C ; "Development of a course on high-speed digital circuit design," Proceedings of the ASEE Midwest Meeting , Rolla, MO, CD-ROM, Sept. 10-12, 2003. Gogineni S; Prescott G; Braaten D; Allen C ; Jezek K; and the PRISM Research Team, "Polar radar for ice sheet measurements," Proceedings of the 2003 International Geoscience and Remote Sensing Symposium (IGARSS '03) , Toulouse, France, pp. 1607-1609, July 2003. Demarest K; Richards D; Allen C ; Hui R; "Is standard single-mode fiber the fiber to fulfill the needs of tomorrow's long-haul networks?", Proceedings of the National Fiber Optic Engineers Conference (NFOEC) , Dallas, TX, pp. 939-946, Sept. 15-19, 2002. Allen C ; Kondamuri PK; Richards DL; Hague DC;, "Analysis and comparison of measured DGD data on buried single-mode fibers," Symposium on Optical Fiber Measurements , Boulder, CO, pp. 195-198, Sept. 24-26, 2002. Allen C ; Kondamuri PK; Richards DL; Hague DC; "Measured temporal and spectral PMD characteristics and their implications for network-level mitigation approaches," Proceedings of the IASTED International Conference on Wireless and Optical Communications , Banff, Alberta, Canada, pp. 713-720, 2002. Allen C ; Chong SK; Cobanoglu Y; Gogineni S; "Test results from a 1319-nm laser radar with RF pulse compression," Proceedings of the 2002 International Geoscience and Remote Sensing Symposium (IGARSS '02) , Toronto, Ontario, Canada, pp. 3588-3590, 2002. Hui R; Allen C ; Demarest K; "Combating PMD-induced signal fading in SCM optical systems using polarization diversity optical receiver," Technical Digest Optical Fiber Communications Conference 2002 (OFC'02) , Anaheim, CA, WQ4, pp. 302-304, 2002. Allen C ; Chong SK; Cobanoglu Y; Gogineni S; "Development of a hybrid RF/laser radar," NASA Earth Science Technology Conference (ESTC 2001) proceedings , College Park, Maryland pp. 97-101, 2001. Allen C ; Cobanoglu Y; Chong SK; Gogineni S; "Performance of a 1319 nm laser radar using RF pulse compression," Proceedings of the 2001 International Geoscience and Remote Sensing Symposium (IGARSS '01) , Syndney, Australia, pp. 997-999, July 2001. Allen C ;Chong SK; Cobanoglu Y; Gogineni S; "Development of a 1319 nm laser radar using fiber optics and RF pulse compression," Coherent Laser Radar Conference (CLCR '01) , Great Malvern, Worcesters, UK, pp. 140-143, July 2001. Hui R; Taherion S; Gogineni P; Allen C ; Adams D; "Wideband RF chirp generation using three-section strongly gain-coupled DFB lasers," Lasers and Electro-Optics Society , 2001 (LEOS 2001), vol. 1 , pp. 308-309, 2001. Hui R; Zhu B; Huang R; Allen C ; Demarest K; Richards D; "10 Gb/s SCM system using optical single side-band modulation," Technical Digest Optical Fiber Communications Conference 2001 (OFC'01) , Anaheim, California, pp. MM4-1 - MM4-4, 2001. Song S; Demarest K; Allen C ; "A Poincare sphere method for measuring polarization-mode dispersion using four-wave mixing (FWM) in single-mode optical fiber," Symposium on Optical Fiber Measurements , Boulder, CO, pp. 79-82, Sept. 26-28, 2000. Allen C ; Cobanoglu Y; Chong SK; Gogineni S; "Development of a 1310-nm, coherent laser radar with RF pulse compression," Proceedings of the 2000 International Geoscience and Remote Sensing Symposium (IGARSS '00) , Honolulu, Hawaii, pp. 1784-1786, July 2000. Song S; Demarest K; Allen C ; "Numerically reversing the nonlinear wave propagation in single-mode optical fiber," IEEE Lasers and Electro-Optics Society1999Annual Meeting (LEOS '99) , San Francisco, CA, pp. 611-612, Nov. 1999. Allen C ; Gogineni S; "A fiber-optic-based 1550-nm laser radar altimeter with RF pulse compression," Proceedings of the 1999 International Geoscience and Remote Sensing Symposium (IGARSS '99) , Hamburg, Germany, pp. 1740-1742, June 1999. Zhu B; Hui R; Allen C ; Demarest K; Wang Y; "Four-wave mixing in amplified WDM system with anomalous dispersion fibers," Conference on Lasers and Electro-Optics Quantum Electronics and Laser Science (CLEO/QELS '99) , Baltimore, p. 435, May 1999. Wang Y; Hui R; Demarest K; Allen C ; "Statistical study of cross-phase modulation in multi-span IMDD WDM systems," IEEE Lasers and Electro-Optics Society1998 (LEOS '98) , Orlando, FL, pp. 378-379, Dec. 1998. Johnson C; Demarest K; Allen C ; Hui R; Peddanarappagari V; Zhu B; Butler R; "Multiwavelength, all-optical clock recovery," IEEE Lasers and Electro-Optics Society1998 (LEOS '98) , Orlando, FL, pp. 10-11, Dec. 1998. Allen C ;Shi K; Plumb RG; "Characterization of a cooperative target for ground-penetrating radar," Proceedings of the 7th International Conference on Ground Penetrating Radar (GPR '98) , Lawrence, Kansas, pp. 561-565, May 26-30, 1998. Song S; Allen C ; Demarest K; Pelz L; Fang X; Pua Y; "Experimental study of four-wave mixing in non-zero dispersion fiber," IEEE Lasers and Electro-Optics Society1997 (LEOS '97) , WAA2, San Francisco, CA, Vol. 2, pp. 224-225, Nov. 1997. Song S; Allen C ; Demarest K; Pelz L; Fang X; Pua Y; "Interactions between solitons and NRZ signals in WDM networks," IEEE Lasers and Electro-Optics Society 1997 (LEOS '97) , TuC3, San Francisco, CA, Vol. 1, pp. 169-170, Nov. 1997. Goodman N; Leuschen C; Plumb R; Allen C ; "Subsurface imaging techniques applied at a ground-penetrating radar test facility," Proceedings of the 6th International Conference on Ground Penetrating Radar (GPR '96) , Sendai, Japan, pp. 395-397, October 1996. Leuschen C; Goodman N; Allen C ; Plumb R; "An interferometric technique for synthetic-aperture ground-penetrating radar," Proceedings of the 6th International Conference on Ground Penetrating Radar (GPR '96) , Sendai, Japan, pp. 405-409, October 1996. Wohletz B; Chuah TS; Allen C ; Gogineni S; "Radar sounding of Greenland outlet glaciers," Proceedings of the XXVth General Assembly of the International Union of Radio Science (URSI) , Lille, France, p. 293, Sept. 1996. Allen C ; Wohletz B; Gogineni S; "Radar sounding of glaciers in Greenland," Proceedings of the 1996 International Geoscience and Remote Sensing Symposium (IGARSS '96) , Lincoln, Nebraska, pp. 1932-1934, May 1996. Leuschen C; Goodman N; Allen C ; Plumb R; "An interferometric technique for synthetic aperture ground penetrating radar," Proceedings of the 1996 International Geoscience and Remote Sensing Symposium (IGARSS '96) , Lincoln, Nebraska, pp. 2033-2035, May 1996. Goodman N; Leuschen C; Plumb R; Allen C ; "Subsurface imaging using ground-penetrating radar measurements," Proceedings of the 1996 International Geoscience and Remote Sensing Symposium (IGARSS '96) , Lincoln, Nebraska, pp. 2036-2037, May 1996. Joughin I; Kwok R; Fahnestock M; Gogineni S; Allen C ; "Interferometrically derived topography, velocity, and ice-flux estimates for the Petermann glacier," EOS, Transactions, American Geophysical Union, 1995 Fall Meeting , San Francisco, California, v. 76(46), p. F184, December 1995. Lockhart GL; Allen C ; "Helicopter-borne scatterometer measurements at L, C, and X bands during the 1994 Boreas field campaign," Proceedings of the 1995 International Geoscience and Remote Sensing Symposium (IGARSS '95) , Firenze, Italy, pp. 794-796, July 1995. Allen C ; Ulaby FT; "Modelling the polarization dependence of the attenuation in vegetation canopies," Proceedings of the 1984 International Geoscience and Remote Sensing Symposium (IGARSS '84) , Strasbourg, France, pp. 119-124, August 1984. Ulaby FT; Allen C ; Fung AK; "Method for retrieving the true backscattering coefficient from measurements with a real antenna," Proceedings 1982 International Geoscience and Remote Sensing Symposium (IGARSS '82) , Munich, Germany, session TA-6, paper #6, June 1982. Workshops and Conference Records Ravenscoft B; Blunt SD; Allen C ; Martone A; Sherbondy K;Analysis of spectral notching in FM noise radar using measured interference IET International Radar Conf., Belfast, N. Ireland, UK, Oct. 2017. Blunt, SD; McCormick, P; Jakabosky, J; Allen, C ; Fast-Time Polarization Modulation using PCFM Radar Waveforms, NATO SET-204 Specialists Meeting on Waveform Diversity 2014. Curlander J; Jezek K; Rodriguez E; Freeman A; Gogineni P; Paden J; Allen C ; Wu X; "Glaciers and Ice Sheets Mapping Orbiter," Advanced SAR Workshop, Montreal, Quebec, 2005. Forster R; Jezek K; Rodriguez E; Gogineni S; Freeman A; Curlander J; Wu X; Allen C ; Kanagaratnam P; Sonntag J; Krabill W; "Global Ice Sheet Mapping Orbiter" , FRINGE 2005 Workshop, Advances in SAR Interferometry from ENVISAT and ERS missions, European Space Agency, ESRIN Frascati, Italy 28 November - 2 December 2005. Paden J; Akins T; Kanagaratnam P; Dunson D; Lewis C; Chan T; Allen C ; Parthasarathy R; Jezek K; Gogineni S; "Wideband radars for imaging the bed and mapping internal layers," West Antarctic Ice Sheet Workshop, Sterling, Virginia, Sept 28-Oct 1, 2005. Allen C ; "Lightwave communications systems research: Optical Link Quality Monitoring," Sprint Applied Research Partners Advanced Network (SPARTAN) Symposium, Lawrence, KS, May 20, 1998. Demarest K; Allen C ; Fang X; Song S; "Lightwave communications systems research," Sprint Applied Research Partners Advanced Network (SPARTAN) Symposium, Lawrence, KS, March 1997. Gogineni S; Chuah T; Allen C ; "Measurement of thickness of the Greenland ice sheet," Program for Arctic Regional Climate Assessment (PARCA), Report for the Greenland Science and Planning Meeting, Boulder, CO, pp. 55-57, Sept. 17-18, 1996. Joughin I; Kwok R; Fahnestock M; Gogineni P; Allen C ; "SRI investigation of the Humboldt and Petermann glaciers, Greenland," Glaciological Applications of Satellite Radar Interferometry Meeting, March 28-29, 1996. Technical Reports Blake W; Allen C ; "CReSIS UAV Radar System Parameter Calculations and Justification," Technical Report CReSIS TR 140, August 2008. Allen C ; Paden J; "Synthetic-Aperture Radar Images Polar Ice-Sheet Bed," Technical Report CReSIS TR 131, September 2007. Akins T; Kanagaratnam P; Paden J; Dunson D; Syeda AK; Akers E; Stansbury R; Gabbur S; Yeganeh A; Mohammad AJ; Kostelnick J; Gogineni S; Agah A; Allen C ; Bowen C; Braaten D; Demarest K; Frost V; Holvoet J; Prescott G;Tsatsoulis C; "Mobile Sensor Web for Polar Ice Sheet Measurements (ITR/SI+AP) PRISM 2005 Annual Progress Report," Technical Report ITTC-FY2005-TR-27640-07; June 2005. Gogineni SP; Allen C ; Braaten D; Akins T; Kanagaratnam P; Agah A; Akers E; Bhattacharya I; Dunson D; Frost V; Harmon H; Jezek K; Mason K; Mohammad AJ; Parthasarathy R; Sivashanmugam S; Stansbury R; Ramasami V; Tsatsoulis C;" Mobile Sensor Web for Polar Ice Sheet Measurements (ITR/SI+AP) PRISM 2004 Field Activities Report,," Technical Report ITTC-FY2005-TR-27640-05; November 2004. Kondamuri, P; Allen C ; "PMD Characterization of Installed Fiber: Final Report," ITTC Technical Report ITTC-FY2004-TR-33750-01, June 2004. Hui R; Zhang S; Zhu B; Huang R; Allen C ; Demarest K; "Advanced optical modulation formats and their comparison in fiber-optic systems," ITTC Technical Report ITTC-FY2004-TR-15666-01, Jan. 2004. Hui R; Zhang S; Ganesh A; Allen C ; Demarest K; "40-Gb/s optical transmission system testbed," ITTC Technical Report ITTC-FY2004-TR-22738-01, Jan. 2004. Chalishazar N; Harmon H; Mohammad AJ; Paden J; Stansbury R; Wuite J; Akins T; Kanagaratnam P; Sundermeyer D; Mason K; Agah A; Allen C ;Braaten D; Frost V; Jezek K; Prescott G; Tsatsoulis C; Gogineni SP; "Report on the University of Kansas PRISM Research Group Activities at the NorthGRIP Field Site: Summer 2003," Technical Report ITTC-FY2004-TR-27640-03; October 2003. Allen C ; "PMD characterization on an active fiber link: final report," ITTC Technical Report ITTC-FY2004-TR-18834-3, August 2003. Allen C ; Cable JW; Ganther KR; Gogineni SP; Jensen KS; Stepp JD; "Earth penetrator telemetry study ground modeling and link analysis," NNSA/DOE Kansas City MO Applied Technologies Division, ADB290809, February 2003. Chimata A-P; Allen C ; "Development of an adaptive polarization-mode dispersion compensation system," ITTC Technical Report ITTC-FY2003-TR-18834-02, January 2003. Kondamuri PK; Allen C ; "Characterization of polarization-mode dispersion on buried standard single-mode fibers," ITTC Technical Report ITTC-FY2003-TR-18834-01, November 2002. Allen C ; Chong SK; "Development of a 1319-nm laser radar using fiber optics and RF pulse compression," Radar Systems and Remote Sensing Laboratory Technical Report 18680-1, May 2002. Allen C ; Cobanoglu Y; "The design and development of a hybrid RF/laser radar system for measuring changes in ice surface elevation at arctic regions," Radar Systems and Remote Sensing Laboratory Technical Report 18680-2, May 2002. Gogineni S; Allen C ; Stiles J; "Measurement of thickness of the Greenland ice sheet and investigation of scattering properties of glacial ice - Final Report," Radar Systems and Remote Sensing Laboratory Technical Report 13720-11, October 2000. Tee KL; Chong WK; Coulter H; Akins T; Gogineni SP; Allen C ; Stiles J; "Radar thickness measurement over the southern part of the Greenland ice sheet: 1998 Results," Radar Systems and Remote Sensing Laboratory Technical Report 13720-10, July 1999. Tebben DJ; Allen C ; "Optical link quality monitoring in WDM fiber," Information and Telecommunications Center, The University of Kansas Center for Research, Inc., ITTC Technical Report ITTC-FY99-TR-12120-08, January 1999. Wong YC; Gogineni S; Allen C ; Stiles J; Legarsky J;Akins T; Tee KL; "Radar thickness measurements over the Greenland ice sheet: 1997 results," Radar Systems and Remote Sensing Laboratory Technical Report 10470-7, February 1998. Song S; Allen C ; Demarest K; "Numerical simulation for optical fiber communications," Information and Telecommunications Center, The University of Kansas Center for Research, Inc., ITTC Technical Report ITTC-FY98-TR-12120-2, December 14, 1997. Legarsky J; Gogineni SP; Allen C ; Chuah TS; Wong YC; "Radar thickness measurements over the northern part of the Greenland ice sheet," Radar Systems and Remote Sensing Laboratory, The University of Kansas Center for Research, Inc., RSL Technical Report 10470-6, March 1997. Song S; Allen C ; Demarest K; Pelz L; "Evaluations of Ciena's and NEC's WDM systems," Information and Telecommunications Center, The University of Kansas Center for Research, Inc., ITTC Technical Report ITTC-FY97-TR-12120-1, March 18, 1997. Allen C ; Gandhi M; Gogineni P; Jezek K; "Feasibility study for mapping the polar ice bottom topography using interferometric synthetic-aperture radar techniques," Radar Systems and Remote Sensing Laboratory, The University of Kansas Center for Research, Inc., RSL Technical Report 11680-1, January 1997. Huang Z; Leuschen C; Allen C ; Plumb R; "GPR simulations of a buried concrete wall for AlliedSignal," Radar Systems and Remote Sensing Laboratory, The University of Kansas Center for Research, Inc., RSL Technical Report 11910-1, November 1996. Chuah T; Gogineni S; Allen C ; Wohletz B; "Radar thickness measurements over the southern part of the Greenland ice sheet," Radar Systems and Remote Sensing Laboratory, The University of Kansas Center for Research, Inc., RSL Technical Report 10470-2, April 1996. Chuah T; Gogineni S; Allen C ; Wohletz B; "Radar thickness measurements over the northern part of the Greenland ice sheet," Radar Systems and Remote Sensing Laboratory, The University of Kansas Center for Research, Inc., RSL Technical Report 10470-3, April 1996. Allen C ; Rehoie NA; "Electromagnetic induction research issues: magnetic dipoles and SQUID technologies," Radar Systems and Remote Sensing Laboratory, The University of Kansas Center for Research, Inc., RSL Technical Report 11740-1, Sept. 1995. Allen C ; Blazek R; Desch J; Elarton J; Kautz D; Markley D; Morgenstern H; Stewart R; Warner L; "Design guidelines for MCM-C multichip modules," AlliedSignal Aerospace Company, Kansas City Division KCP-613-5346, December 1993. Markley RE; Elarton JL; Allen C ; "High-speed digital project, HSD test capability," AlliedSignal Aerospace Company, Kansas City Division KCP-613-5254, August 1993. Bickel DL; Brock BC; Allen C ; "Spaceborne SAR study: LDRD '92 final report," Sandia National Laboratories SAND 93-0731, March 1993. Allen C ; Markley RE; "High-speed digital project, waveform synthesizer," Allied-Signal Aerospace Company, Kansas City Division KCP 613 5014, October 1992. Cress DH; Sandoval MB; Dickey FM; Strong DS; Allen C ; "Synthetic aperture radar for Open Skies (SAROS) phase I final report," Sandia National Laboratories Verification Systems & Technology VST 034, August 1992. Cress DH; Sandoval MB; Allen C ; "Synthetic aperture radar for Open Skies (SAROS) status and options," Sandia National Laboratories Verification Systems & Technology VST 029, January 1992. Allen C ; "An introduction to bistatic SAR," Sandia National Laboratories Internal Memorandum RS2344/89/0002, February 1989. Allen C ; "Analysis of a digital chirp synthesizer," Sandia National Laboratories SAND88 2256, August 1988. Allen C ; "A 0/pi pulse compression code with very low time sidelobes," Sandia National Laboratories SAND85 0859, April 1985. Allen C ; Brisco B; Ulaby FT; "Modeling the temporal behavior of the microwave backscattering coefficient of agricultural crops," Univ. of Kansas Remote Sensing Laboratory Technical Memorandum 360 21, 1984. Ulaby FT; Allen C ; Eger III G; Kanemasu E; "Relating the radar backscattering coefficient to leaf-area index," Univ. of Kansas Remote Sensing Laboratory Report SK K3 04432, April 1983. Brisco B; Allen C ; Dobson C; Martin C; McCarty N; "Leaf area, biomass and percent moisture measurements of corn and soybeans," Univ. of Kansas Remote Sensing Laboratory Technical Memorandum 460 4, April 1983. Brisco B; Allen C ; "Wheat special experiments," Univ. of Kansas Remote Sensing Laboratory Technical Memorandum 360 2, October 1982. Kouate F; Allen C ; Dobson MC; Ulaby FT; "Radar backscattering measurements of periodic soil surfaces: data documentation," Remote Sensing Laboratory, The University of Kansas Center for Research, Inc., RSL Technical Report SM K2 04339, August 1982. Brisco B; Allen C ; "Data documentation for the 1981 summer vegetation experiment," Remote Sensing Laboratory, The University of Kansas Center for Research, Inc., RSL Technical Report SM K2 04336, May 1982. Ulaby FT; Allen C ; Fung AK; "Method for retrieving the true backscattering coefficient from measurements with a real antenna," Remote Sensing Laboratory, The University of Kansas Center for Research, Inc., RSL Technical Report SM K2 04268, April 1982. Allen CT ; Ulaby FT; Fung AK; "A model for the radar backscattering coefficient for bare soil," Remote Sensing Laboratory, The University of Kansas Center for Research, Inc., RSL Technical Report SM K1 04181, January 1982. Show Selected Publications 2 Selected Awards & Honors Phi Kappa Phi Eta Kappa Nu Tau Beta Pi Eta Kappa Nu Harry Talley Excellence in Teaching Award, 1998 Center for Teaching Excellence recognition for classroom excellence, 1998 Miller Award for Research, 1999 Ned N. Fleming Trust Award for Excellence in Teaching, 2001 Miller Scholar for teaching, research, and service, 2001 W.T. Kemper Fellowship for Teaching Excellence, 2001 John E. Sharp and Winifred E. Sharp Teaching Professorship, School of Engineering, 2002 Bellows Scholar, 2005 Center for Teaching Excellence for graduate teaching, 2007 Miller Scholar, University of Kansas, 2010 Service Reviewer for various journals (recent examples include) IEEE Transactions on Geoscience and Remote Sensing IEEE Transactions on Instrumentation and Measurement IEEE Communications Letters IEEE Photonics Technology Letters EECS Application Login EECS Gradplanner Login EECS Shop Department Events Please update your browser to view the iframe content. Your browser must support JavaScript to view this content. Please enable JavaScript in your browser settings then try again. 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Retaliation is also prohibited by university policy. The following persons have been designated to handle inquiries regarding the nondiscrimination policies and are the Title IX coordinators for their respective campuses: Director of the Office of Institutional Opportunity & Access, IOA@ku.edu , Room 1082, Dole Human Development Center, 1000 Sunnyside Avenue, Lawrence, KS 66045, 785-864-6414, 711 TTY (for the Lawrence, Edwards, Parsons, Yoder, and Topeka campuses); Director, Equal Opportunity Office, Mail Stop 7004, 4330 Shawnee Mission Parkway, Fairway, KS 66205, 913-588-8011, 711 TTY (for the Wichita, Salina, and Kansas City, Kansas medical center campuses). diff --git a/src/data/compiled_bios/4206.txt b/src/data/compiled_bios/4206.txt new file mode 100644 index 0000000000..fc4ae3e49c --- /dev/null +++ b/src/data/compiled_bios/4206.txt @@ -0,0 +1 @@ + Toggle navigation Alexandru G. Bardas home research teaching Alexandru G. Bardas The University of Kansas Assistant Professor EECS Department and ITTC 2040 Eaton Hall 238 Nichols Hall Lawrence, KS 66045 +1 785 864 4421 alexbardas ku edu Announcements Looking for motivated PhD and MS students who are interested in cybersecurity research. If you are interested, please drop me a note ! About I am an assistant professor in the Department of Electrical Engineering & Computer Science (EECS) and the Information & Telecommunication Technology Center (ITTC) at the University of Kansas. I received my PhD from Kansas State University and was priviledged to be advised by Xinming (Simon) Ou and by Scott A. DeLoach . My research interests are focused on cybersecurity, mainly from a system perspective. I believe that viable cybersecurity solutions must leverage collective knowledge, be reliable, and consider practical aspects in an environment surrounded by uncertainty. For more information, please see my research page . Vita My CV should you be interested. 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Giving Tech Help Menu Home About Chair's Message Vision & Mission Academic Experience Prospective Students Overview Disciplines Undergraduate Programs Academic Experience Degree Requirements Scholarship & Tuition Admissions Degree Accreditation Graduate Programs Master's Program Ph.D. Programs Research Clusters Applied Electromagnetics Communications Systems Computational Science and Engineering Computer Systems Design Computing in the Biosciences Data Science and Engineering IT Project Management Languages and Semantics Network Engineering Network Systems Radar Systems and Remote Sensing RF Systems Engineering Cyber Security Signal Processing Software Engineering Theory of Computing Graduate Funding Cybersecurity Graduate Certificate Data Science and Engineering Software Engineering and Management Certificate RF Systems Engineering Graduate Certificate Facilities Current Students Overview New Students Undergraduate Graduate Undergraduate Students Graduate Students Master's Programs Ph.D. Programs Research Clusters Defense Notices Cybersecurity Graduate Certificate Data Science Graduate Certificate Software Engineering and Management Certificate RF Systems Engineering Graduate Certificate EECS Courses Facilities Research Facilities Facilities Location EECS Workstation Software Eaton Hall Map EECS Shop Faculty & Staff Faculty Chairpersons Administrative Staff Technical Staff Research Overview Research Clusters Applied Electromagnetics Communications Systems Computer Systems Design Computing in the Biosciences Intelligent Informatics Languages and Semantics Network Engineering Network Systems Radar Systems and Remote Sensing RF Systems Engineering Cyber Security Signal Processing Software Engineering Theory of Computing Defense Notices Research Facilities Alumni & Friends Advisory Board Welcome Alumni! Giving Tech Help Search Search form Search Home Shannon Blunt SHANNON BLUNT Shannon Blunt Professor sdblunt@ku.edu 1 Primary office : 785-864-7326 Eaton Hall, room 3034 University of Kansas 1520 W. 15th St. Lawrence, KS 66045 Second office : Nichols Hall, room 357 Summary 2 Bio 3 Academics 4 Publications 5 Awards/Honors 6 Primary Research Interests Adaptive Signal Processing for Radar and Communications Array Processing Interference Cancellation Waveform Diversity/Design for Physical Systems Spectrum Engineering Education Ph.D. in Electrical Engineering, University of Missouri, 2002 (advisor: K.C. Ho) M.S. in Electrical Engineering, University of Missouri, 2000 (advisor: K.C Ho) B.S. (with honors) in Electrical Engineering, University of Missouri, 1999 Industrial Experience Radar Division - US Naval Research Laboratory, Washington, DC, 2002-2005 Teaching EECS 412 Electronic Circuits II EECS 420 Electromagnetics II EECS 644 Digital Signal Processing EECS 844 Adaptive Signal Processing Tutorial on "Spectrum Engineering & Waveform Diversity" at IEEE Radar Conference series in collaboration with Prof. Hugh Griffiths of University College London Research Google Scholar Page 7 Adaptive Signal Processing for Radar and Communications Radar Waveform Optimization/Implementation Radar Pulse Compression Space-Time Adaptive Processing Array Processing Radar Spectrum Engineering Radar-Embedded Communications Interference Cancellation Multistatic Radar Biomedical Imaging Affiliations IEEE AESS Radar Systems Panel (2007-present) MSS Tri-Service Radar Symposium Program Committee (2010-present) Subject Matter Expert for Sensiac Military Sensing Information Analysis Center (2010-present) Service Director, Kansas Applied Research Lab (KARL) (2018-present) Director, KU Radar Systems & Remote Sensing Laboratory (RSL) 8 (2011-present) Chair, IEEE/AESS Radar Systems Panel (2018-present) Member, IEEE/AESS Board of Governors (2018-present) Contributed to update of IEEE Standard 686 - Standard Radar Definitions (2016) Faculty Advisor, KU IEEE student chapter (2012-2015) General Chair, 2011 IEEE Radar Conference , Kansas City, MO Associate Editor for IEEE Trans. Aerospace and Electronic Systems (2008-present) Editorial Board for IET Radar, Sonar, & Navigation (2008-present) Chair, Conferences Committee, IEEE/AESS Radar Systems Panel (2012-2018) Chair, IEEE/AESS Nathanson Memorial Award Committee (2014-present) Memberships IEEE Aerospace and Electronic Systems Society IEEE Signal Processing Society Association of Old Crows Eta Kappa Nu Tau Beta Pi International Research Engagement Chair, NATO SET-179 research task group on Dynamic Waveform Diversity & Design (2011-2014) Member, NATO SET-182 research task group on Radar Spectrum Engineering & Management (2011-2014) Co-Chair, NATO SET-204 research specialists meeting on Waveform Diversity , Berlin, Germany (2014) Member, NATO SET-227 research task group on Cognitive Radar (2015-2017) Graduate Students Thomas Kramer, currently pursuing MS EE. Daniel Herr, currently pursuing PhD EE Erik Biehl, currently pursuing MS EE. Christian Jones, currently pursuing MS EE. Alex Ramos, currently pursuing PhD EE (co-advising, Prof. Alessandro Salandrino is lead advisor). Dana Hemmingsen, currently pursuing MS EE, now with Honeywell FM&T in Kansas City, MO. Charles Mohr, currently pursuing PhD EE. Brandon Ravenscroft, currently pursuing PhD EE. Jonathan Owen, currently pursuing PhD EE. John Jakabosky, currently pursuing PhD EE, with the Radar Division of the Naval Research Laboratory in Washington, DC. Shadi Pir Hosseinloo, currently pursuing PhD EE (co-advising, Prof. Jon Brumberg of KU Dept. of Speech, Language, Hearing is lead advisor). Mohanad Al-Ibadi, currently pursuing PhD EE (co-advising, Dr. John Paden is lead advisor). Garrett Zook (MS EE), with L3 Advanced Systems & Technology in Plano, TX. Lumumba Harnett (MS EE), currently pursuing PhD EE, with the Radar Division of the Naval Research Laboratory in Washington, DC. Dr. Patrick McCormick (PhD EE), with the Sensors Directorate of the Air Force Research Laboratory at Wright-Patterson AFB, OH. Dr. Peng Seng (Isaac) Tan (PhD EE), with Eaton Cooper Lighting in Peachtree City, GA (co-advised, Prof. Jim Stiles was lead advisor). Audrey Seybert (MS EE), with Honeywell FM&T in Kansas City, MO (co-advised, Prof. Chris Allen was lead advisor). Dakota Henke (MS EE), with Sandia National Laboratories in Albuquerque, NM. Erik Hornberger (MS EE), with Sumitomo Heavy Industries in Yokohama, Japan. Lane Ryan (MS EE), with Honeywell FM&T in Kansas City, MO (co-advised, Prof. Chris Allen was lead advisor). Dr. Justin Metcalf (PhD EE, MS EE), was with AFRL Sensors Directorate, now an Asst. Professor at the University of Oklahoma, Norman, OK. Matthew Cook (MS EE), with Garmin in Olathe, KS. Casey Biggs (MS EE), with 13iggs Consulting in Lawrence, KS. Tsz Ping (Charley) Chan (MS EE), with Bloomberg L.P. in New York, NY. Padmaja Yatham (MS EE), with Ericsson in Richardson, TX. Dr. William Dower (MS EE), with Raytheon in El Segundo, CA and also received PhD EE from the University of Oklahoma in 2017. Dr. Thomas Higgins (PhD EE, MS EE), with the Radar Division of the Naval Research Laboratory in Washington, DC. Supervised Theses/Dissertations Garrett Zook, " Applications of FM Noise Radar Waveforms: Spatial Modulation and Polarization Modulation, 9 " MS EE thesis, Aug. 2018. Lumumba Harnett, " Post Pulse Compression & Partially Adaptive Multi-Waveform Space-Time Adaptive Processing for Heterogeneous Clutter, 10 " MS EE thesis, July 2018. Patrick McCormick, " Design and Optimization of Physical Waveform-Diverse and Spatially-Diverse Radar Emissions 11 ," PhD EE dissertation, May 2018. Peng Seng Tan, " Addressing Spectrum Congestion by Spectrally-Cooperative Radar Design, 12 " PhD EE dissertation, May 2017. Audrey Seybert, " Analysis of Artifacts Inherent to Real-Time Radar Target Emulation 13 ," MS EE thesis, May 2016. Dakota Henke, " Robust Optimal and Adaptive Pulse Compression for FM Waveforms, 14 " MS EE thesis, Sept. 2015. Erik Hornberger, " Partially Constrained Adaptive Beamforming, 15 " MS EE thesis, July 2015. Justin Metcalf, " Signal Processing for Non-Gaussian Statistics: Clutter Distribution Identification and Adaptive Threshold Estimation 16 ," PhD EE dissertation, Mar. 2015. Lane Ryan, " Polyphase-Coded FM Waveform Optimization within a LINC Transmit Architecture 17 ," MS EE thesis, Jan. 2014. Thomas Higgins, " Waveform Diversity and Range-Coupled Adaptive Radar Signal Processing, 18 " PhD EE dissertation, Dec. 2011. Justin Metcalf, " Detection Strategies and Intercept Metrics for Intra-Pulse Radar-Embedded Communications 19 ," MS EE thesis, Dec. 2011. Matthew Cook, " CPM-Based Radar Waveforms for Efficiently Bandlimiting a Transmitted Spectrum, 20 " MS EE thesis, Apr. 2010. Casey Biggs, " Practical Considerations for Radar Embedded Communication 21 ," MS EE thesis, July 2009. Tsz Ping Chan, " Reiterative Minimum Mean Square Error Estimator for Direction of Arrival Estimation and Biomedical Functional Brain Imaging, 22 " MS EE thesis, July 2008. Padmaja Yatham, " Waveform Design for Radar Embedded Communication, 23 " MS EE thesis, July 2007. William Dower, " Hybrid Signal Processing Techniques for Shared Spectrum Multistatic Radars, 24 " MS EE thesis, July 2007. Thomas Higgins, " Dimensionality Aspects of Adaptive Radar Pulse Compression, 25 " MS EE thesis, May 2007. Selected Publications Books S.D. Blunt and E.S. Perrins, eds., Radar & Communication Spectrum Sharing , SciTech Publishing, 2018. M. Wicks, E. Mokole, S.D. Blunt, V. Amuso, and R. Schneible, eds., Principles of Waveform Diversity and Design , SciTech Publishing, 2010. Book Chapters S.D. Blunt, J. Jakabosky, P. McCormick, P.S. Tan, and J.G. Metcalf, "Holistic Radar Waveform Diversity," Chapter 1 in Academic Press Library in Signal Processing Volume 7 (SIGP): Array, Radar and Communications Engineering , eds. R. Chellappa and S. Theodoridis, Elsevier, 2017. S.D. Blunt, J. Jakabosky, and C. Allen, "Radar Emission Spectrum Engineering," Chapter 1 in Novel Radar Techniques and Applications, Vol. 2: Waveform Diversity and Cognitive Radar, and Target Tracking and Data Fusion , eds. R. Klemm, U. Nickel, C. Gierull, P. Lombardo, H. Griffiths, and W. Koch, SciTech-IET, 2017. S.D. Blunt, "Pulse Compression and High Resolution Radar," Chapter 16 in Introduction to Airborne Radar, 3rd ed. , eds. H. Griffiths, C.J. Baker, and D. Adamy, SciTech-IET, 2014. S.D. Blunt, "Radar Waveforms: Advanced Concepts," Chapter 46 in Introduction to Airborne Radar, 3rd ed. , eds. H. Griffiths, C.J. Baker, and D. Adamy, SciTech-IET, 2014. S.D. Blunt, T. Higgins, A. Shackelford, and K. Gerlach, "Multistatic & Waveform-Diverse Radar Pulse Compression," Chapter 8 in Waveform Design and Diversity for Advanced Radar Systems , eds. F. Gini, A. de Maio, and L. Patton, IET, 2012. S.D. Blunt and J.M. Stiles, "Intra-Pulse Radar-Embedded Communications," Chapter B-I-4 in Principles of Waveform Diversity & Design , eds. M. Wicks, E. Mokole, S.D. Blunt, V. Amuso, and R. Schneible, SciTech Publishing, 2010. S.D. Blunt, K. Gerlach, M. Rangaswamy, and A.K. Shackelford, "STAP via Knowledge-Aided Covariance Estimation and the FRACTA Algorithm," Chapter 7 in Knowledge Based Radar Detection, Tracking, and Classification , eds. F. Gini and M. Rangaswamy, John Wiley & Sons, 2008. Journal L.A. Harnett, J.G. Metcalf, and S.D. Blunt, "Post Pulse Compression & Partially Adaptive Multi-Waveform STAP," submitted to IET Radar, Sonar & Navigation . S.D. Blunt, R. Adve, D.W. Bliss, J. Curran, and S. Roy, "Foreword to the Special Section on Spectrum Sharing," to appear in IEEE Trans. Aerospace & Electronic Systems. P.S. Tan, J. Jakabosky, J.M. Stiles, and S.D. Blunt, " Higher-Order Implementations of Polyphase-Coded FM Radar Waveforms 26 ," to appear in IEEE Trans. Aerospace & Electronic Systems . B. Ravenscroft, J.W. Owen, J. Jakabosky, S.D. Blunt, A.F. Martone, and K.D. Sherbondy, " Experimental Demonstration and Analysis of Cognitive Spectrum Sensing & Notching 27 ," IET Radar, Sonar & Navigation, vol. 12, no. 12, pp. 1466-1475, Dec. 2018. (special issue on Cognitive Radar) A. Martone, K. Ranney, K. Sherbondy, K. Gallagher, and S. Blunt, " Spectrum Allocation for Non-Cooperative Radar Coexistence 28 ," IEEE Trans. Aerospace & Electronic Systems , vol. 54, no. 1, pp. 90-105, Feb. 2018, DOI: 10.1109/TAES.2017.2735659. H.C. So, M.G. Amin, S. Blunt, F. Gini, and W.-Q. Wang, "Introduction to the Special Issue on Time/Frequency Modulated Array Signal Processing," IEEE Journal of Selected Topics in Signal Processing , vol. 11, no. 2, pp. 225-227, Mar. 2017. P.M. McCormick, S.D. Blunt, and J.G. Metcalf, " Wideband MIMO Frequency-Modulated Emission Design with Space-Frequency Nulling 29 ," IEEE Journal of Selected Topics in Signal Processing , vol. 11, no. 2, pp. 363-378, Mar. 2017, DOI: 10.1109/JSTSP.2016.2627180. S.D. Blunt, J. Metcalf, J. Jakabosky, J. Stiles, and B. Himed, " Multi-Waveform Space-Time Adaptive Processing 30 ," IEEE Trans. Aerospace & Electronic Systems , vol. 53, no. 1, pp. 385-404, Feb. 2017, DOI: 10.1109/TAES.2017.2650639. J. Jakabosky, P. McCormick, and S.D. Blunt, " Implementation & Design of Physical Radar Waveform Diversity 31 ," IEEE AESS Systems Magazine , vol. 31, no. 12, pp. 26-33, Dec. 2016, DOI: 0.1109/MAES.2016.150230. (special issue on Waveform Diversity) S.D. Blunt and E.L. Mokole, " An Overview of Radar Waveform Diversity 32 ," IEEE AESS Systems Magazine , vol. 31, no. 11, pp. 2-42, Nov. 2016, DOI: 10.1109/MAES.2016.160071. P. McCormick, T. Higgins, S.D. Blunt, and M. Rangaswamy, " Adaptive Receive Processing of Spatially-Modulated Physical Radar Emissions 33 ," IEEE Journal of Selected Topics in Signal Processing , vol. 9, no. 8, pp. 1415-1426, Dec. 2015, DOI: 10.1109/JSTSP.2015.2467360. (special issue on Advanced Signal Processing Techniques for Radar Applications) J.G. Metcalf, C. Sahin, S.D. Blunt, and M. Rangaswamy, " Analysis of Symbol Design Strategies for Intrapulse Radar-Embedded Communications 34 ," IEEE Trans. Aerospace & Electronic Systems , vol. 51, no. 4, pp. 2914-2931, Oct. 2015, DOI: 10.1109/TAES.2015.140675. H. Griffiths, L. Cohen, S. Watts, E. Mokole, C. Baker, M. Wicks, and S. Blunt, " Radar Spectrum Engineering and Management: Technical and Regulatory Issues 35 ," Proceedings of the IEEE , vol. 103, no. 1, pp. 85-102, Jan. 2015, DOI: 10.1109/JPROC.2014.2365517. S.D. Blunt, P. McCormick, T. Higgins, and M. Rangaswamy, " Physical Emission of Spatially-Modulated Radar 36 ," IET Radar, Sonar & Navigation , vol. 8, no. 12, pp. 1234-1246, Dec. 2014. S.D. Blunt, M. Cook, J. Jakabosky, J. de Graaf, and E. Perrins, " Polyphase-Coded FM (PCFM) Radar Waveforms, Part I: Implementation 37 ," IEEE Trans. Aerospace & Electronic Systems , vol. 50, no. 3, pp. 2218-2229, July 2014, DOI: 10.1109/TAES.2014.130361. S.D. Blunt, J. Jakabosky, M. Cook, J. Stiles, S. Seguin, and E.L. Mokole, " Polyphase-Coded FM (PCFM) Radar Waveforms, Part II: Optimization 38 ," IEEE Trans. Aerospace & Electronic Systems , vol. 50, no. 3, pp. 2230-2241, July 2014, DOI: 10.1109/TAES.2014.130362. S.D. Blunt, J.G. Metcalf, C.R. Biggs, and E. Perrins, " Performance Characteristics and Metrics for Intra-Pulse Radar-Embedded Communications 39 ," IEEE Journal on Selected Areas in Communications (special issue on Advances in Military Networking and Communications), vol. 29, no. 10, pp. 2057-2066, Dec. 2011, DOI: 10.1109/JSAC.2011.111215. S.D. Blunt, T. Chan, and K. Gerlach, " Robust DOA Estimation: the Re-Iterative Super Resolution (RISR) Algorithm 40 ," IEEE Trans. Aerospace & Electronic Systems , vol. 47, no. 1, pp. 332-346, Jan. 2011, DOI: 10.1109/TAES.2011.5705679. S.D. Blunt, P. Yatham, and J. Stiles, " Intrapulse Radar-Embedded Communications 41 ," IEEE Trans. Aerospace & Electronic Systems , vol. 46, no. 3, pp. 1185-1200, July 2010, DOI: 10.1109/TAES.2010.5545182. M. Popescu, S.D. Blunt, and T. Chan, " Magnetoencephalography Source Localization using the Source Affine Image Reconstruction (SAFFIRE) Algorithm 42 ," IEEE Trans. Biomedical Engineering , vol. 57, no. 7, pp. 1652-1662, July 2010, DOI: 10.1109/TBME.2010.2047858. S.D. Blunt and T. Higgins, "Dimensionality Reduction Techniques for Efficient Adaptive Radar Pulse Compression," IEEE Trans. Aerospace & Electronic Systems , vol. 46, no. 1, pp. 349-362, Jan. 2010. S.D. Blunt, A. Shackelford, K. Gerlach, and K.J. Smith, "Doppler Compensation & Single Pulse Imaging via Adaptive Pulse compression," IEEE Trans. Aerospace & Electronic Systems , vol. 45, no. 2, pp. 647-659, Apr. 2009. A.K. Shackelford, K. Gerlach, and S.D. Blunt, "Partially Adaptive STAP using the FRACTA Algorithm," IEEE Trans. Aerospace & Electronic Systems , vol. 45, no. 1, pp. 58-69, Jan. 2009. S.D. Blunt, W. Dower, and K. Gerlach, "Hybrid Interference Suppression for Multistatic Radar," IET Radar, Sonar, & Navigation , vol. 2, no. 5, pp. 323-333, Oct. 2008. M. Popescu, E.-A. Popescu, T.-P. Chan, S.D. Blunt, and J. Lewine, "Spatio-Temporal Reconstruction of Bilateral Auditory Steady State Responses using MEG Beamformers," IEEE Trans. Biomedical Engineering , vol. 55, no. 3, pp. 1092-1102, Mar. 2008. S.D. Blunt,K. Gerlach, and J. Heyer, "A New HRR Detector for Slow-Moving Targets in Sea-Clutter," IEEE Trans. Aerospace & Electronic Systems , vol. 43, no. 3, pp. 965-974, July 2007. K. Gerlach and S.D. Blunt, "Radar Pulse Compression Repair," IEEE Trans. Aerospace & Electronic Systems , vol. 43, no. 3, pp. 1188-1195, July 2007. K. Gerlach, A.K. Shackelford, and S.D. Blunt, "Combined Multistatic Adaptive Pulse Compression and Adaptive Beamforming for Shared-Spectrum Radar," IEEE Journal of Selected Topics in Signal Processing , vol. 1, no. 1, pp. 137-146, June 2007. K. Gerlach and S.D. Blunt, "The Factored-SVD Formulation and an application example," Digital Signal Processing , vol. 17, no. 1, pp. 199-208, January 2007. S.D. Blunt, K. Gerlach, and M. Rangaswamy, "STAP using Knowledge-Aided Covariance Estimation and the FRACTA Algorithm," IEEE Trans. Aerospace & Electronic Systems , vol. 42, no. 3, pp. 891-903, July 2006. S.D. Blunt and K. Gerlach, "Multistatic Adaptive Pulse Compression," IEEE Trans. Aerospace & Electronic Systems , vol. 42, no. 3, pp. 1043-1057, July 2006. S.D. Blunt and K. Gerlach, "Adaptive Pulse Compression via MMSE Estimation," IEEE Trans. Aerospace & Electronic Systems , vol. 42, no. 2, pp. 572-584, April 2006. S.D. Blunt and K.C. Ho, "An Iterative Approximate MAP Symbol Estimator for Uncoded Synchronous CDMA," IEEE Trans. Wireless Communications , vol. 4, no. 4, pp. 1663-1673, July 2005. S.D. Blunt and K. Gerlach, "Efficient Robust AMF using the FRACTA Algorithm," IEEE Trans. Aerospace & Electronic Systems , vol. 41, no. 2, pp. 537-548, April 2005. K.R. Gerlach, S.D. Blunt, and M.L. Picciolo, "Robust Adaptive Matched Filtering using the FRACTA Algorithm," IEEE Trans. Aerospace & Electronic Systems , vol. 40, no. 3, pp. 929-945, July 2004. K.C. Ho and S.D. Blunt, "Rapid Identification of a Sparse Impulse Response Using an Adaptive Algorithm in the Haar Domain," IEEE Trans. Signal Processing , vol. 51, no. 3, pp. 628-638, March 2003. K.C. Ho and S.D. Blunt, "Adaptive Sparse System Identification using Wavelets," IEEE Trans. Circuits & Systems II , vol. 49, no. 10, pp. 656-667, October 2002. Patents G.B. Ravenscroft, P.M. McCormick, S.D. Blunt, E.S. Perrins, J.G. Metcalf, "Power-Efficient Formulation of Tandem-Hopped Radar & Communications," U.S. Patent Application #62/737,074, filed on Sept. 26, 2018. L. Harnett, S.D. Blunt, J.G. Metcalf, Method to Improve Ground Moving Target Detection Through Partially Adaptive Post Pulse Compression Multi-Waveform Space-Time Adaptive Processing, U.S. Patent Application #62/712,082, filed on July 30, 2018. C. Sahin, J.G. Metcalf, J. Jakabosky, P.M. McCormick, S.D. Blunt, E.S. Perrins, inventors; The University of Kansas, assignee. A Continuous-Phase Modulation Based Power-Efficient Tunable Joint Radar/Communications System, US Patent Application #62/669,261, filed on May 9, 2018. S.D. Blunt, M. Popescu, and T. Chan, "Source Affine Reconstruction for Medical Imaging," US Patent #8,433,388, issued April 30, 2013. S.D. Blunt and T. Higgins, "Computationally Efficient Adaptive Radar Pulse Compression System," US Patent #7,602,331, issued October 13, 2009. S.D. Blunt, A. Shackelford, and K. Gerlach, "Single Pulse Imaging Radar System and Method," US Patent #7,535,412, issued May 19, 2009. S.D. Blunt and K. Gerlach, "Multistatic Adaptive Pulse Compression Method and System," US Patent #7,474,257, issued January 6, 2009. S.D. Blunt, K. Gerlach, and K.J. Smith, "Doppler Compensated Adaptive Pulse Compressor for Doppler-Tolerant Waveforms," US Patent #7,439,906, issued October 21, 2008. K. Gerlach and S.D. Blunt, "Radar Pulse Compression Repair," US Patent #7,298,315, issued November 20, 2007. S.D. Blunt and K. Gerlach, "Method and Apparatus for Detecting Slow-Moving Targets in High-Resolution Sea Clutter," US Patent #7,286,079, issued October 23, 2007. S.D. Blunt and K. Gerlach, "Doppler-Sensitive Adaptive Coherence Estimate Detector Methods," US Patent #7,212,150, issued May 1, 2007. K. Gerlach and S.D. Blunt, "Radar Processor System and Method," US Patent #7,193,558, issued March 20, 2007. S.D. Blunt and K. Gerlach, "Robust Predictive Deconvolution System and Method," US Patent #7,106,250, issued September 12, 2006. S.D. Blunt and K. Gerlach, "Robust Predictive Deconvolution System and Method," US Patent #6,940,450, issued September 6, 2005. Conference C.A. Mohr and S.D. Blunt, "Analytical Spectrum Representation for Physical Waveform Optimization Requiring Extreme Fidelity," IEEE Radar Conference , Boston, MA, 22-26 Apr. 2019. L. Harnett and S.D. Blunt, "Least-Squares Optimal Mismatched Doppler Processing," IEEE Radar Conference , Boston, MA, 22-26 Apr. 2019. C. Sahin, P.M. McCormick, J.G. Metcalf, and S.D. Blunt, "Power-Efficient Multi-Beam Phase-Attached Radar/Communications," IEEE Radar Conference , Boston, MA, 22-26 Apr. 2019. (INVITED) P.M. McCormick, C. Sahin, J.G. Metcalf, and S.D. Blunt, "FMCW Implementation of Phase-Attached Radar/Communications," IEEE Radar Conference , Boston, MA, 22-26 Apr. 2019. (INVITED) B. Ravenscroft, J.W. Owen, S.D. Blunt, A.F. Martone, and K.D. Sherbondy, "Optimal Mismatched Filtering to Address Clutter Spread from Intra-CPI Variation of Spectral Notches," IEEE Radar Conference , Boston, MA, 22-26 Apr. 2019. J. Owen, C. Mohr, S.D. Blunt, and K. Gallagher, "Nonlinear Radar via Intermodulation of Jointly Optimized FM Noise Waveform Pairs," IEEE Radar Conference , Boston, MA, 22-26 Apr. 2019. C.A. Mohr and S.D. Blunt, "FM Noise Waveforms Optimized According to a Temporal Template Error (TTE) Metric," IEEE Radar Conference , Boston, MA, 22-26 Apr. 2019. P.M. McCormick, C. Sahin, S.D. Blunt, and J.G. Metcalf, " Physical Waveform Optimization for Multiple-Beam Multifunction Digital Arrays 43 ," IEEE Asilomar Conference on Signals, Systems, and Computers, Pacific Grove, CA, 28-31 Oct. 2018. (INVITED) J.W. Owen, B. Ravenscroft, B.H. Kirk, S.D. Blunt, C.T. Allen, A.F. Martone, K.D. Sherbondy, and R.M. Narayanan, " Experimental Demonstration of Cognitive Spectrum Sensing & Notching for Radar 44 ," IEEE Radar Conference , Oklahoma City, OK, 23-27 Apr. 2018, DOI: 10.1109/RADAR.2018.8378690. C.A. Mohr, P.M. McCormick, and S.D. Blunt, " Optimized Complementary Waveform Subsets within an FM Noise Radar CPI 45 ," IEEE Radar Conference , Oklahoma City, OK, 23-27 Apr. 2018, DOI: 10.1109/RADAR.2018.8378642. C.A. Mohr, P.M. McCormick, S.D. Blunt, and C. Mott, " Spectrally-Efficient FM Noise Radar Waveforms Optimized in the Logarithmic Domain 46 ," IEEE Radar Conference , Oklahoma City, OK, 23-27 Apr. 2018, DOI: 10.1109/RADAR.2018.8378669. P.M. McCormick and S.D. Blunt, " Shared-Spectrum Multistatic Radar: Experimental Demonstration using FM Waveforms 47 ," IEEE Radar Conference , Oklahoma City, OK, 23-27 Apr. 2018, DOI: 10.1109/RADAR.2018.8378685. G. Zook, P. McCormick, and S.D. Blunt, " Fixational Eye Movement Radar: Random Spatial Modulation 48 ," IEEE Radar Conference , Oklahoma City, OK, 23-27 Apr. 2018, DOI: 10.1109/RADAR.2018.8378667. J. Owen, S.D. Blunt, K. Gallagher, P. McCormick, C. Allen, and K. Sherbondy, " Nonlinear Radar via Intermodulation of FM Noise Waveform Pairs 49 ," IEEE Radar Conference , Oklahoma City, OK, 23-27 Apr. 2018, DOI: 10.1109/RADAR.2018.8378689. D.M. Hemmingsen, P.M. McCormick, S.D. Blunt, C. Allen, A. Martone, K. Sherbondy, and D. Wikner, " Waveform-Diverse Stretch Processing 50 ," IEEE Radar Conference , Oklahoma City, OK, 23-27 Apr. 2018, DOI: 10.1109/RADAR.2018.8378691. L. Harnett, D. Hemmingsen, P. McCormick, S.D. Blunt, C. Allen, A. Martone, K. Sherbondy, and D. Wikner, " Optimal and Adaptive Mismatch Filtering for Stretch Processing 51 ," IEEE Radar Conference , Oklahoma City, OK, 23-27 Apr. 2018, DOI: 10.1109/RADAR.2018.8378641. B. Ravenscroft, P.M. McCormick, S.D. Blunt, E. Perrins, and J.G. Metcalf, " A Power-Efficient Formulation of Tandem-Hopped Radar & Communications 52 ," IEEE Radar Conference , Oklahoma City, OK, 23-27 Apr. 2018, DOI: 10.1109/RADAR.2018.8378708. (INVITED) P.S. Tan, J.M. Stiles, and S.D. Blunt, " Physically Realizing an Optimized Sparse Spectrum via Joint Design of a Collection of FM Waveforms 53 ," IEEE Radar Conference , Oklahoma City, OK, 23-27 Apr. 2018, DOI: 10.1109/RADAR.2018.8378645. G. Zook, P.M. McCormick, S.D. Blunt, C. Allen, and J. Jakabosky, " Dual-Polarized FM Noise Radar 54 ," IET International Conference on Radar Systems , Belfast, UK, 23-26 Oct. 2017, DOI: 10.1049/cp.2017.0442. P.M. McCormick and S.D. Blunt, " Gradient-based Coded-FM Waveform Design using Legendre Polynomials 55 ," IET International Conference on Radar Systems , Belfast, UK, 23-26 Oct. 2017, DOI: 10.1049/cp.2017.0440. B. Ravenscroft, S.D. Blunt, C. Allen, A. Martone, and K. Sherbondy, " Analysis of Spectral Notching in FM Noise Radar using Measured Interference 56 ," IET International Conference on Radar Systems , Belfast, UK, 23-26 Oct. 2017, DOI: 10.1049/cp.2017.0388. {Finalist, Best Student Paper} C. Sahin, J. Metcalf, and S. Blunt, " Characterization of Range Sidelobe Modulation Arising from Radar-Embedded Communications 57 ," IET International Conference on Radar Systems , Belfast, UK, 23-26 Oct. 2017, DOI: 10.1049/cp.2017.0372. {Finalist, Best Industry Paper} P.M. McCormick and S.D. Blunt, " Nonlinear Conjugate Gradient Optimization of Polyphase-Coded FM Radar Waveforms 58 ," IEEE Radar Conference , Seattle, WA, 8-12 May 2017, DOI: 10.1109/RADAR.2017.7944476. B. Ravenscroft, P.M. McCormick, S.D. Blunt, J. Jakabosky, and J.G. Metcalf, " Tandem-Hopped OFDM Communications in Spectral Gaps of FM Noise Radar 59 ," IEEE Radar Conference , Seattle, WA, 8-12 May 2017, DOI: 10.1109/RADAR.2017.7944398. P.M. McCormick, S.D. Blunt, and J. Metcalf, " Simultaneous Radar and Communication Emissions from a Common Aperture, Part I: Theory 60 ," IEEE Radar Conference , Seattle, WA, 8-12 May 2017, DOI: 10.1109/RADAR.2017.7944478. (INVITED) {1st Place, Student Paper Contest} P.M. McCormick, A. Duly, B. Ravenscroft, S.D. Blunt, and J. Metcalf, " Simultaneous Radar and Communication Emissions from a Common Aperture, Part II: Experimentation 61 ," IEEE Radar Conference , Seattle, WA, 8-12 May 2017, DOI : 10.1109/RADAR.2017.7944480. (INVITED) C. Sahin, J. Jakabosky, P. McCormick, J. Metcalf, and S. Blunt, " A Novel Approach for Embedding Communication Symbols into Physical Radar Waveforms 62 ," IEEE Radar Conference , Seattle, WA, 8-12 May 2017, DOI: 10.1109/RADAR.2017.7944444. (INVITED) C. Sahin, J. Metcalf, and S. Blunt, " Filter Design to Address Range Sidelobe Modulation in Transmit-Encoded Radar-Embedded Communications 63 ," IEEE Radar Conference , Seattle, WA, 8-12 May 2017, DOI: 10.1109/RADAR.2017.7944446. (INVITED) B.H. Kirk, J. Owen, R.M. Narayanan, S.D. Blunt, A.F. Martone, and K.D. Sherbondy, "Cognitive Software Defined Radar: Waveform Design for Clutter and Interference Suppression," SPIE Defense + Security Symposium , Anaheim, CA, 9-13 Apr. 2017. S.D. Blunt, C. Allen, E. Arnold, R. Hale, R. Hui, S. Keshmiri, C. Leuschen, J. Li, J. Paden, F. Rodriguez-Morales, A. Salandrino, and J. Stiles, "Radar Research at the University of Kansas," SPIE Defense + Security Symposium , Anaheim, CA, 9-13 Apr. 2017. (INVITED) A. Salandrino, P.M. McCormick, M.D. Balcazar, and S.D. Blunt, " Spatially Modulated Metamaterial Array for Transmit (SMMArT) and Slow-Leaky-Wave Antennas 64 ," IEEE Intl. Symp. Phased Array Systems & Technology , Waltham, MA, 18-21 Oct. 2016, DOI: 10.1109/ARRAY.2016.7832580. (INVITED) J. Jakabosky, B. Ravenscroft, S.D. Blunt, and A. Martone, " Gapped Spectrum Shaping for Tandem-Hopped Radar/Communications & Cognitive Sensing 65 ," IEEE Radar Conf ., Philadelphia, PA, 2-6 May 2016, DOI: 10.1109/RADAR.2016.7485067. (INVITED) P.M. McCormick, S.D. Blunt, and J. Metcalf, " Joint Spectrum/Beampattern Design of Wideband MIMO Radar Emissions 66 ," IEEE Radar Conf ., Philadelphia, PA, 2-6 May 2016, DOI: 10.1109/RADAR.2016.7485240. (INVITED) A. Salandrino, D.J. Chachayma Farfan, P. McCormick, E.D. Symm, and S.D. Blunt, " Spatially Modulated Metamaterial Array for Transmit (SMMArT) 67 ," IEEE Radar Conf ., Philadelphia, PA, 2-6 May 2016, DOI: 10.1109/RADAR.2016.7485276. L. Harnett, P.M. McCormick, S.D. Blunt, and J. Metcalf, " Multi-Window Post-Doppler Dimensionality Reduction for Multi-Waveform STAP 68 ," IEEE Radar Conf ., Philadelphia, PA, 2-6 May 2016, DOI: 10.1109/RADAR.2016.7485080. J.G. Metcalf, K.J. Sangston, M. Rangaswamy, S.D. Blunt, and B. Himed, " A New Method of Generating Multivariate Weibull Distributed Data 69 ," IEEE Radar Conf ., Philadelphia, PA, 2-6 May 2016, DOI: 10.1109/RADAR.2016.7485287. P.S. Tan, J.M. Stiles, and S.D. Blunt, " Optimizing Sparse Allocation for Radar Spectrum Sharing 70 ," IEEE Radar Conf ., Philadelphia, PA, 2-6 May 2016, DOI: 10.1109/RADAR.2016.7485150. J. Jakabosky, S.D. Blunt, and B. Himed, " Spectral-Shape Optimized FM Noise Radar for Pulse Agility 71 ," IEEE Radar Conf ., Philadelphia, PA, 2-6 May 2016, DOI: 10.1109/RADAR.2016.7485298. P.M. McCormick, S.D. Blunt, and T. Higgins, " A Gradient Descent Implementation of Adaptive Pulse Compression 72 ," IEEE Radar Conf ., Philadelphia, PA, 2-6 May 2016, DOI: 10.1109/RADAR.2016.7485140. {3rd Place, Student Paper Contest} J. Jakabosky, S.D. Blunt, and A. Martone, " Incorporating Hopped Spectral Gaps into Nonrecurrent Nonlinear FMCW Radar Emissions 73 ," IEEE Intl. Workshop on Computational Advances in Multi-Sensor Adaptive Processing , Cancun, Mexico, 13-16 Dec. 2015, DOI: 10.1109/CAMSAP.2015.7383791. (INVITED) E. Hornberger, S.D. Blunt, and T. Higgins, " Partially Constrained Adaptive Beamforming for Super-Resolution at Low SNR 74 ," IEEE Intl. Workshop on Computational Advances in Multi-Sensor Adaptive Processing , Cancun, Mexico, 13-16 Dec. 2015, DOI: 10.1109/CAMSAP.2015.7383753. P. McCormick and S.D. Blunt, " Fast-Time 2-D Spatial Modulation of Physical Radar Emissions 75 ," Intl. Radar Symp , Dresden, Germany, 24-26 June 2015, DOI: 10.1109/IRS.2015.7226302. (INVITED) J. Metcalf, S.D. Blunt, and B. Himed, " A Machine Learning Approach to Cognitive Radar Detection 76 ," IEEE Intl. Radar Conf ., Washington, DC, 11-15 May 2015, DOI: 10.1109/RADAR.2015.7131215. P.S. Tan, J. Jakabosky, J.M. Stiles, and S.D. Blunt, " On Higher-Order Representations of Polyphase-Coded FM Radar Waveforms 77 ," IEEE Intl. Radar Conf ., Washington, DC, 11-15 May 2015, DOI: 10.1109/RADAR.2015.7131044. D. Henke, P. McCormick, S.D. Blunt, and T. Higgins, " Practical Aspects of Optimal Mismatch Filtering and Adaptive Pulse Compression for FM Waveforms 78 ," IEEE Intl. Radar Conf ., Washington, DC, 11-15 May 2015, DOI: 10.1109/RADAR.2015.7131167. P. McCormick, J. Jakabosky, S.D. Blunt, C. Allen, and B. Himed, " Joint Polarization/Waveform Design and Adaptive Receive Processing 79 ," IEEE Intl. Radar Conf ., Washington, DC, 11-15 May 2015, DOI: 10.1109/RADAR.2015.7131211. (INVITED) J. Jakabosky, S.D. Blunt, and B. Himed, " Waveform Design and Receive Processing for Nonrecurrent Nonlinear FMCW Radar 80 ," IEEE Intl. Radar Conf ., Washington, DC, 11-15 May 2015, DOI: 10.1109/RADAR.2015.7131210. J. Jakabosky, S.D. Blunt, and T. Higgins, " Ultra-Low Sidelobe Waveform Design via Spectral Shaping and LINC Transmit Architecture 81 ," IEEE Intl. Radar Conf ., Washington, DC, 11-15 May 2015, DOI: 10.1109/RADAR.2015.7131144. (INVITED) S.D. Blunt, J. Metcalf, J. Jakabosky, and B. Himed, " SINR Analysis of Multi-Waveform STAP 82 ," IEEE International Radar Conference , Lille, France, 13-17 October 2014, DOI: 10.1109/RADAR.2014.7060341. (INVITED) J. Jakabosky, S.D. Blunt, and B. Himed, " Optimization of "Over-Coded" Radar Waveforms 83 ," IEEE Radar Conference , Cincinnati, OH, 19-23 May 2014, DOI: 10.1109/RADAR.2014.6875831. S.D. Blunt, P. McCormick, T. Higgins, and M. Rangaswamy, " Spatially-Modulated Radar Waveforms Inspired by Fixational Eye Movement 84 ," IEEE Radar Conference , Cincinnati, OH, 19-23 May 2014, DOI: 10.1109/RADAR.2014.6875719. L. Ryan, J. Jakabosky, S.D. Blunt, C. Allen, and L. Cohen, " Optimizing Polyphase-Coded FM Waveforms within a LINC Transmit Architecture 85 ," IEEE Radar Conference , Cincinnati, OH, 19-23 May 2014, DOI: 10.1109/RADAR.2014.6875706. J. Metcalf, S.D. Blunt, and B. Himed, " A Machine Learning Approach to Distribution Identification of Non-Gaussian Clutter 86 ," IEEE Radar Conference , Cincinnati, OH, 19-23 May 2014, DOI: 10.1109/RADAR.2014.6875688. B.D. Cordill, S.A. Seguin, and S.D. Blunt, "Mutual Coupling Calibration using the Reiterative Superresolution (RISR) Algorithm," IEEE Radar Conference , Cincinnati, OH, 19-23 May 2014. S.A. Seguin, J. Jakabosky, B.D. Cordill, and S. Blunt, "Phased Array Antenna Model-in-the-Loop Radar Waveform Optimization," IEEE Intl. Conf. on Microwaves, Communications, Antennas and Electronic Systems , Tel Aviv, Isreal, 21-23 Oct. 2013. (INVITED) S.A. Seguin, J. Jakabosky, and S.D. Blunt, "Hardware-in-the-Loop Radar Waveform Optimization using Radiated Emissions," IEEE Electromagnetic Compatibility Conf. , Denver, CO, 5-9 August 2013. (INVITED) H. Griffiths, S. Blunt, L. Cohen, L. Savy, Challenge Problems in Spectrum Engineering and Waveform Diversity 87 , IEEE Radar Conference , Ottawa, Canada, 29 April - 3 May, 2013, DOI: 10.1109/RADAR.2013.6586140. (INVITED) J. Jakabosky, L. Ryan, and S.D. Blunt, Transmitter-in-the-Loop Optimization of Distorted OFDM Radar Emissions 88 , IEEE Radar Conference , Ottawa, Canada, 29 April - 3 May, 2013, DOI: 10.1109/RADAR.2013.6586121. S.D. Blunt, J. Jakabosky, J. Metcalf, J. Stiles, and B. Himed, Multi-Waveform STAP 89 , IEEE Radar Conference , Ottawa, Canada, 29 April - 3 May, 2013, DOI: 10.1109/RADAR.2013.6586089. J. Jakabosky, S.D. Blunt, M.R. Cook, J. Stiles, and S.A. Seguin, Transmitter-in-the-Loop Optimization of Physical Radar Emissions, IEEE Radar Conference , Atlanta, GA, 7-11 May 2012. {Finalist, Student Paper Contest} J. Metcalf, S. Blunt, and E. Perrins, Detector Design and Intercept Metrics for Intra-Pulse Radar-Embedded Communications, IEEE Military Communications Conference , Baltimore, MD, 7-10 Nov. 2011. B. Cordill, J. Metcalf, S.A. Seguin, D. Chatterjee, and S.D. Blunt, The Impact of Mutual Coupling on MIMO Radar Emissions, IEEE International Conference on Electromagnetics in Advanced Applications , Turino, Italy, 12-17 Sept. 2011. (INVITED) T. Higgins, K. Gerlach, A.K. Shackelford, and S.D. Blunt, Non-Identical Multiple Pulse Compression and Clutter Cancellation," IEEE Radar Conference , Kansas City, MO, 23-27 May 2011. J. Jakabosky, P. Anglin, M. Cook, S.D. Blunt, and J. Stiles, Non-Linear FM Waveform Design using Marginal Fishers Information within the CPM Framework, IEEE Radar Conference , Kansas City, MO, 23-27 May 2011. M. Cook, S.D. Blunt, and J. Jakabosky, Optimization of Waveform Diversity and Performance for Pulse-Agile Radar, IEEE Radar Conference , Kansas City, MO, 23-27 May 2011. T. Higgins, S.D. Blunt, and A.K. Shackelford, Time-Range Adaptive Processing for Pulse Agile Radar, International Waveform Diversity & Design Conference , Niagara Falls, Canada, 8-13 Aug. 2010. S.D. Blunt, M.R. Cook, and J. Stiles, Embedding Information into Radar Emissions via Waveform Implementation, International Waveform Diversity & Design Conference , Niagara Falls, Canada, 8-13 Aug., 2010. (INVITED) S.D. Blunt and J.G. Metcalf, Using Time Reversal of Multipath for Intra-Pulse Radar-Embedded Communications, International Waveform Diversity & Design Conference , Niagara Falls, Canada, 8-13 Aug., 2010. T. Higgins, S.D. Blunt, and A.K. Shackelford, Space-Range Adaptive Processing for Waveform-Diverse Radar Imaging, IEEE International Radar Conference , Washington, DC, 10-14 May 2010 . S.D. Blunt and J.G. Metcalf, Estimating Temporal Multipath via Spatial Selectivity: Building Environmental Knowledge into Waveform Design for Radar-Embedded Communications, IEEE International Conference on Electromagnetics in Advanced Applications , Turino, Italy, 14-18 Sept. 2009. (INVITED) S.D. Blunt, M. Cook, E. Perrins, and J. de Graaf, CPM-Based Radar Waveforms for Efficiently Bandlimiting a Transmitted Spectrum, IEEE Radar Conference , Pasadena, CA, 4-8 May 2009. T. Higgins, S.D. Blunt, and K. Gerlach, Gain-Constrained Adaptive Pulse Compression via an MVDR Framework, IEEE Radar Conference , Pasadena, CA, 4-8 May 2009. S.D. Blunt and C. Biggs, Practical Considerations for Intra-Pulse Radar-Embedded Communications, International Waveform Diversity & Design Conference , Orlando, FL, 8-13 Feb. 2009, pp. 244-248. T. Higgins and S.D. Blunt, Analysis of Range-Angle Coupled Beamforming with Frequency-Diverse Chirps, International Waveform Diversity & Design Conference , Orlando, FL, 8-13 Feb. 2009, pp. 140-144. S.D. Blunt, T. Chan, and K. Gerlach, A New Framework for Direction-of-Arrival Estimation, IEEE Sensor Array and Multichannel Processing Workshop , Darmstadt, Germany, 21-23 July 2008. S.D. Blunt, K. Gerlach, and E. Mokole, Pulse Compression Eclipsing Repair 90 , IEEE Radar Conference , Rome, Italy, 26-30 May 2008, DOI: 10.1109/RADAR.2008.4720725. S.D. Blunt, W. Dower, and K. Gerlach, Hybrid Adaptive Receive Processing for Multistatic Radar, Intl. Workshop on Computational Advances in Multi-Sensor Adaptive Processing , St. Thomas, U.S. Virgin Islands, 12-14 Dec. 2007, pp. 5-8. (INVITED) S.D. Blunt, J. Stiles, C. Allen, D. Deavours, and E. Perrins, Diversity Aspects of Radar-Embedded Communications, IEEE International Conference on Electromagnetics in Advanced Applications , Turino, Italy, 17-21 Sept. 2007, pp. 439-442. (INVITED) S.D. Blunt and P. Yatham, Waveform Design for Radar-Embedded Communications, International Waveform Diversity & Design Conference , Pisa, Italy, 4-8 June 2007, pp. 214-218. (INVITED) A.K. Shackelford, J. de Graaf, S. Talapatra, K. Gerlach, and S.D Blunt, Shared-Spectrum Multistatic Radar: Preliminary Experimental Results, International Waveform Diversity & Design Conference , Pisa, Italy, 4-8 June 2007, pp. 443-447. S.D. Blunt and T. Higgins, Achieving Real-Time Efficiency for Adaptive Radar Pulse Compression, 2007 IEEE Radar Conference , Waltham, MA, 17-20 April 2007, pp. 116-121. S.D. Blunt, K. Gerlach, and T. Higgins, Aspects of Radar Range Super-Resolution, IEEE Radar Conference , Waltham, MA, 17-20 April 2007, pp. 683-687. A.K. Shackelford, J. de Graaf, S. Talapatra, S.D. Blunt, and K. Gerlach, Adaptive Pulse Compression: Preliminary Experimental Results, IEEE Radar Conference , Waltham, MA, 17-20 April 2007, pp. 234-237. S.D. Blunt and K. Gerlach, A Generalized Formulation for Adaptive Pulse Compression of Multistatic Radar, Fourth IEEE Workshop on Sensor Array and Multi-Channel Processing ( SAM ), Waltham, MA, 12-14 July 2006, pp. 349-353. S.D. Blunt, K.J. Smith, and K. Gerlach, Doppler-Compensated Adaptive Pulse Compression, IEEE Radar Conference , Verona, NY, 24-27 April 2006. K. Gerlach, A. Shackelford, and S.D. Blunt, A Novel Approach to Shared-Spectrum Multistatic Radar, IEEE Radar Conference , Verona, NY, 24-27 April 2006. K. Gerlach, A. Shackelford, and S.D. Blunt, Performance Enhancement of the FRACTA Algorithm via Dimensionality Reduction: Results from KASSPER I, IEEE Radar Conference , Verona, NY, 24-27 April 2006. S.D. Blunt, A. Shackelford, and K. Gerlach, Single Pulse Imaging 91 , International Waveform Diversity and Design Conference , Lihue, Hawaii, 22-27 January 2006. K. Gerlach, A. Shackelford, and S.D. Blunt, Combined Adaptive Pulse Compression and Adaptive Beamforming for Multistatic Shared-Spectrum Radar 92 , International Waveform Diversity and Design Conference , Lihue, Hawaii, 22-27 January 2006. S.D. Blunt and K. Gerlach, Aspects of Multistatic Adaptive Pulse Compression, IEEE International Radar Conf. , Arlington, VA, 9-12 May 2005, pp. 104-108. S.D. Blunt and K. Gerlach, Adaptive Pulse Compression Repair Processing, IEEE International Radar Conf. , Arlington, VA, 9-12 May 2005, pp. 519-523. S.D. Blunt and K. Gerlach, Joint Adaptive Pulse Compression to Enable Multi-Static Radar 93 , International Waveform Diversity and Design Conf., Edinburgh, Scotland, 8-10 Nov. 2004 . S.D. Blunt and K. Gerlach, Adaptive Repair of Pulse-Compressed Radar Waveforms: Seeing the Trees Despite the Forest 94 , International Waveform Diversity and Design Conf., Edinburgh, Scotland, 8-10 Nov. 2004 . S.D. Blunt, K. Gerlach, and M. Rangaswamy, The Enhanced FRACTA Algorithm with Knowledge-Aided Covariance Estimation, Third IEEE Workshop on Sensor Array & Multichannel Processing (SAM), Barcelona, Spain, 18-21 July 2004, pp. 638-642. S.D. Blunt and K.C. Ho, Iterative MAP Multiuser Detection of Synchronous CDMA with Channel Distortion, IEEE International Symposium on Circuits & Systems , Vancouver, British Columbia, Canada, 23-26 May 2004, vol. 3, pp. 441-444. S.D. Blunt and K.C. Ho, Iterative MAP Symbol Estimation for Constant Modulus Constellations in Synchronous CDMA, IEEE International Conference on Acoustics, Speech, & Signal Processing , Montreal, Quebec, Canada, 17-21 May 2004, pp. 893-896. S.D. Blunt and K. Gerlach, Efficient Robust AMF Using the Enhanced FRACTA Algorithm: Results from KASSPER I & II, IEEE Radar Conference , Philadelphia, PA, 26-29 Apr. 2004, pp. 372-377. S.D. Blunt and K. Gerlach, Adaptive Pulse Compression, IEEE Radar Conference, Philadelphia, PA, 26-29 Apr. 2004, pp. 271-276. S.D. Blunt and K. Gerlach, Non-Coherent Detection of Slow-Moving Targets in High-Resolution Sea Clutter, IEEE Radar Conference, Philadelphia, PA, 26-29 Apr. 2004, pp. 345-348. K.R. Gerlach and S.D. Blunt, Efficient Reiterative Censoring of Robust STAP using the FRACTA Algorithm, IEEE International Conference on Radar , Adelaide, Australia, 3-5 Sept. 2003, pp. 57-61. (INVITED) S. D. Blunt and K. Gerlach, A Novel Pulse Compression Scheme Based on Minimum Mean-Square Error Reiteration, IEEE International Conference on Radar , Adelaide, Australia, 3-5 Sept. 2003, pp. 349-353. K.C. Ho and S.D. Blunt, Enhanced Adaptive Sparse Algorithms Using the Haar Wavelet, IEEE International Symposium on Circuits & Systems, Phoenix, AZ, 26-29 May 2002, vol. 3, pp. 45-48. S.D. Blunt and K.C. Ho, A Novel Sparse Adaptive Algorithm Using Wavelets, IEEE Intl. Symp. on Circuits & Systems, Phoenix, AZ, 26-29 May 2002, vol. 3, pp. 37-40. S.D. Blunt and K.C. Ho, An Iterative Maximum A Posteriori (MAP) Estimator for Multiuser Detection in Synchronous CDMA Systems, IEEE International Conference on Acoustics, Speech, & Signal Processing, Orlando, FL, 13-17 May 2002, pp. 2313-2316. K.C. Ho and S.D. Blunt, Novel Sparse Adaptive Algorithm in the Haar Transform Domain, IEEE International. Conference on Acoustics, Speech, & Signal Processing , Istanbul, Turkey, 5-9 June 2000, vol. 1, pp. 452-455. K.C. Ho and S.D. Blunt, Convergence Behavior of Two Adaptive Filters in Tandem, IEEE Midwest Symposium on Circuits and Systems, Las Cruces, NM, 8-11 Aug. 1999, vol. 2, pp. 630-633. Supervised Theses/Dissertations Garrett Zook, " Applications of FM Noise Radar Waveforms: Spatial Modulation and Polarization Modulation, 9 " MS EE thesis, Aug. 2018. Lumumba Harnett, " Post Pulse Compression & Partially Adaptive Multi-Waveform Space-Time Adaptive Processing for Heterogeneous Clutter, 10 " MS EE thesis, July 2018. Patrick McCormick, " Design and Optimization of Physical Waveform-Diverse and Spatially-Diverse Radar Emissions 11 ," PhD EE dissertation, May 2018. Peng Seng Tan, " Addressing Spectrum Congestion by Spectrally-Cooperative Radar Design, 12 " PhD EE dissertation, May 2017. Audrey Seybert, " Analysis of Artifacts Inherent to Real-Time Radar Target Emulation 13 ," MS EE thesis, May 2016. Dakota Henke, " Robust Optimal and Adaptive Pulse Compression for FM Waveforms, 14 " MS EE thesis, Sept. 2015. Erik Hornberger, " Partially Constrained Adaptive Beamforming, 15 " MS EE thesis, July 2015. Justin Metcalf, " Signal Processing for Non-Gaussian Statistics: Clutter Distribution Identification and Adaptive Threshold Estimation 16 ," PhD EE dissertation, Mar. 2015. Lane Ryan, " Polyphase-Coded FM Waveform Optimization within a LINC Transmit Architecture 17 ," MS EE thesis, Jan. 2014. Thomas Higgins, " Waveform Diversity and Range-Coupled Adaptive Radar Signal Processing, 18 " PhD EE dissertation, Dec. 2011. Justin Metcalf, " Detection Strategies and Intercept Metrics for Intra-Pulse Radar-Embedded Communications 19 ," MS EE thesis, Dec. 2011. Matthew Cook, " CPM-Based Radar Waveforms for Efficiently Bandlimiting a Transmitted Spectrum, 20 " MS EE thesis, Apr. 2010. Casey Biggs, " Practical Considerations for Radar Embedded Communication 21 ," MS EE thesis, July 2009. Tsz Ping Chan, " Reiterative Minimum Mean Square Error Estimator for Direction of Arrival Estimation and Biomedical Functional Brain Imaging, 22 " MS EE thesis, July 2008. Padmaja Yatham, " Waveform Design for Radar Embedded Communication, 23 " MS EE thesis, July 2007. William Dower, " Hybrid Signal Processing Techniques for Shared Spectrum Multistatic Radars, 24 " MS EE thesis, July 2007. Thomas Higgins, " Dimensionality Aspects of Adaptive Radar Pulse Compression, 25 " MS EE thesis, May 2007. For linked pre-prints above: 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Selected Awards & Honors Honors/Awards - Research IEEE Fellow for " contributions to radar waveform diversity and design ", 2016 2012 IEEE/AESS Fred Nathanson Memorial Radar Award for "contributions to adaptive radar signal processing and waveform diversity" Air Force Office of Scientific Research - Young Investigator Award, 2008 Miller Professional Development Award for Distinguished Research, KU School of Engineering, 2008 Naval Research Laboratory Alan Berman Research Publication Award, 2004, 2006, 2007, 2009 Bellows Scholar, School of Engineering, University of Kansas, 2010, 2011, 2016 Outstanding Graduate Student Award in Electrical Engineering, University of Missouri, 2001 Honors/Awards - Teaching Harry Talley Excellence in Teaching Award, KU EECS Department, 2008, 2013 Celebration of Teaching Honoree for EECS, KU Center for Teaching Excellence, 2013 Donald K. Anderson Graduate Student Teaching Assistant Award, University of Missouri, 2000 Research Honors/Awards of Current/Former Students Patrick McCormick, 2018 Robert T. Hill Best Dissertation Award (best PhD dissertation in an IEEE-AESS field of interest) Brandon Ravenscroft, Finalist, Student Paper Contest, 2017 IET International Conference on Radar Systems , Belfast, UK Cenk Sahin, Finalist, Industry Paper Contest, 2017 IET International Conference on Radar Systems , Belfast, UK Patrick McCormick -- 1st Place, Student Paper Contest, 2017 IEEE Radar Conference , Seattle, WA Patrick McCormick -- 3rd Place, Student Paper Contest, 2016 IEEE Radar Conference , Philadelphia, PA Cenk Sahin -- National Research Council Fellowship, 2016 Lumumba Harnett -- National Science Foundation Graduate Research Fellowship, 2015 Lumumba Harnett -- KU Chancellor's Fellowship, 2014 Erik Hornberger -- KU Self Graduate Fellowship, 2012 Justin Metcalf -- KU Richard & Wilma Moore MS Thesis Award, 2012 John Jakabosky -- Finalist, Student Paper Contest, 2012 IEEE Radar Conference , Atlanta, GA Thomas Higgins, KU Richard & Wilma Moore MS Thesis Award, 2008 EECS Application Login EECS Gradplanner Login EECS Shop Department Events Please update your browser to view the iframe content. 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http://www.ittc.ku.edu/~sdblunt/papers/Overcoded_PCFM%20final.pdf http://www.ittc.ku.edu/~sdblunt/papers/Spatial%20modulation%20-%20RadarCon14.pdf http://www.ittc.ku.edu/~sdblunt/papers/RadarConf14_PCFMLINC.pdf http://www.ittc.ku.edu/~sdblunt/papers/RadarConf2014_MachineLearning.pdf http://www.ittc.ku.edu/~sdblunt/papers/Challenge%20Problems%20final%20ver1.3.pdf http://www.ittc.ku.edu/~sdblunt/papers/OFDM_TX_OPT%20rev12b.pdf http://www.ittc.ku.edu/~sdblunt/papers/RadarConf13_MuW-STAP.pdf http://www.ittc.ku.edu/~sdblunt/papers/APC_ER_final%20-%20RC2008.pdf http://www.ittc.ku.edu/~sdblunt/papers/Blunt%20SPI.pdf http://www.ittc.ku.edu/~sdblunt/papers/Gerlach%20ABMAPC.pdf http://www.ittc.ku.edu/~sdblunt/papers/Blunt-MSradar.pdf http://www.ittc.ku.edu/~sdblunt/papers/Blunt_PC-repair.pdf Contact Electrical Engineering and Computer Science eecs-info@ku.edu 785-864-4620 2001 Eaton Hall 1520 West 15th Street University of Kansas Lawrence, KS 66045-7608 Degree Accreditation Information 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ACC (IEEE Cat. No , 2000 523 2000 Stability of switched and hybrid systems MS Branicky Proceedings of 1994 33rd IEEE Conference on Decision and Control 4, 3498-3503 , 1994 484 1994 On the relationship between classical grid search and probabilistic roadmaps SM LaValle, MS Branicky, SR Lindemann The International Journal of Robotics Research 23 (7-8), 673-692 , 2004 381 2004 Scheduling and feedback co-design for networked control systems MS Branicky, SM Phillips, W Zhang Proceedings of the 41st IEEE Conference on Decision and Control, 2002. 2 , 2002 342 2002 A unified framework for hybrid control MS Branicky, VS Borkar, SK Mitter Proceedings of 1994 33rd IEEE Conference on Decision and Control 4, 4228-4234 , 1994 315 1994 Design considerations for software only implementations of the IEEE 1588 precision time protocol K Correll, N Barendt, M Branicky Conference on IEEE 1588, 11-15 , 2005 241 2005 Multipartite RRTs for Rapid Replanning in Dynamic Environments. M Zucker, JJ Kuffner, MS Branicky ICRA, 1603-1609 , 2007 236 2007 Quasi-randomized path planning MS Branicky, SM LaValle, K Olson, L Yang Proceedings 2001 ICRA. IEEE International Conference on Robotics and , 2001 212 2001 Universal computation and other capabilities of hybrid and continuous dynamical systems MS Branicky Theoretical computer science 138 (1), 67-100 , 1995 190 1995 Networked control system co-simulation for co-design MS Branicky, V Liberatore, SM Phillips Proceedings of the 2003 American Control Conference, 2003. 4, 3341-3346 , 2003 167 2003 Motion planning under uncertainty for image-guided medical needle steering R Alterovitz, M Branicky, K Goldberg The International journal of robotics research 27 (11-12), 1361-1374 , 2008 166 2008 Studies in hybrid systems: Modeling, analysis, and control MS Branicky MASSACHUSETTS INST OF TECH CAMBRIDGE LAB FOR INFORMATION AND DECISION SYSTEMS , 1995 156 1995 Stability of hybrid systems: State of the art MS Branicky Proceedings of the 36th IEEE Conference on Decision and Control 1, 120-125 , 1997 140 1997 Algorithms for optimal hybrid control MS Branicky, SK Mitter Proceedings of 1995 34th IEEE Conference on Decision and Control 3, 2661-2666 , 1995 131 1995 Introduction to hybrid systems MS Branicky Handbook of networked and embedded control systems, 91-116 , 2005 116 2005 Stability of networked control systems with time-varying transmission period W Zhang Allerton Conf. Communication, Contr. and Computing (2001) , 2001 90 2001 The system can't perform the operation now. Try again later. Articles 120 Show more Help Privacy Terms diff --git a/src/data/compiled_bios/4209.txt b/src/data/compiled_bios/4209.txt new file mode 100644 index 0000000000..addeeac079 --- /dev/null +++ b/src/data/compiled_bios/4209.txt @@ -0,0 +1 @@ + Skip to main content The University of Kansas myKU Email Blackboard Enroll & Pay KU Directory A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All Academics Athletics Your browser must support JavaScript to view this content. Please enable JavaScript in your browser settings then try again. Your browser must support JavaScript to view this content. Please enable JavaScript in your browser settings then try again. Your browser must support JavaScript to view this content. Please enable JavaScript in your browser settings then try again. 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Brumberg, Ph.D. 1 Jonathan S. Brumberg Research Centers - Speech-Language-Hearing Assistant Professor brumberg@ku.edu 2 Primary office : 785-864-1061 Dole Human Development Center Room 3001 University of Kansas 1000 Sunnyside Ave Lawrence, KS 66045 Second office : 785-854-1461 Haworth Hall Room 4115 Summary 3 Bio 4 Academics 5 Publications 6 Presentations 7 Contracts/Grants 7 Awards/Honors 7 Jonathan Brumberg is an Assistant Professor in the Department of Speech-Language-Hearing with a courtesy appointment in Electrical Engineering and Computer Science, and affiliations with the Neuroscience Graduate Program and Bioengineering Graduate Program. He earned his PhD at Boston University in the area of computational neuroscience of speech motor control in 2009 and continued at Boston University as a research assistant professor before coming to the University of Kansas in 2012. His research interests are in the neurological mechanisms underlying speech and communication and their use in brain-machine interfaces (BMI). Education Ph.D. , Cognitive and Neural Systems , Boston University B.A. , Philosophy , University of Delaware B.S. , Computer and Information Sciences , University of Delaware Teaching Dr. Brumberg teaches undergraduate and graduate courses involving the neural bases of speech production / motor control (SPLH 462) and speech perception (AUD 816). He also mentors undergraduate students in the university research experience program in speech-language-hearing, and electrical engineering and computer science. Teaching Interests Speech science Neuroscience Neuroimaging Speech perception Research Dr. Brumberg is interested in understanding the neural mechanisms underlying speech production, through electrophysiological and behavioral studies. He currently directs an NIH funded research program to develop brain-machine interfaces for control of augmentative and alternative communication devices using electroencephalography (EEG). He is also interested in studying the role of interactive computer programs and interfaces in speech research and rehabilitation, specifically those employing artificial speech synthesis for studying speech production in speakers with and without impairment. Research Interests Speech neuroscience Speech motor control Brain machine interfaces Neural engineering Signal processing Service Dr. Brumberg is an associate editor of Brain-Computer Interfaces and is a member of the Society for Neuroscience, the American Speech-Language-Hearing Association and the BCI Society. Selected Publications Pitt, K. M., & Brumberg, J. S. (in press). A Screening Protocol Incorporating Brain-Computer Interface Feature Matching Considerations for Augmentative and Alternative Communication. Assistive Technology . Brumberg, J. S., Thorson, J. C., & Patel, R. (2018). The Prosodic Marionette: a method to visualize speech prosody and assess perceptual and expressive prosodic abilities. Speech Communication , 104 , 95-105. DOI:10.1016/j.specom.2018.09.009 8 Pitt, K. M., & Brumberg, J. S. (2018). Guidelines for Feature Matching Assessment of Brain-Computer Interfaces for Augmentative and Alternative Communication. American Journal of Speech-Language Pathology , 27 (3), 950-964. DOI:10.1044/2018_AJSLP-17-0135 9 Brumberg, J. S., Pitt, K. M., & Burnison, J. D. (2018). A non-invasive brain-computer interface for real-time speech synthesis: The Importance of Multimodal Feedback. IEEE Transactions on Neural Systems and Rehabilitation Engineering , 26 (4), 874-881. DOI:10.1109/TNSRE.2018.2808425 10 Brumberg, J. S., Pitt, K. M., Mantie-Kozlowski, A. & Burnison, J. D. (2018). Brain-computer interfaces for augmentative and alternative communication: a tutorial. American Journal of Speech-Language Pathology , 27 , 1-12. DOI:10.1044/2017_AJSLP-16-0244 11 Brumberg, J. S., Nguyen, A. Pitt, K. M., & Lorenz, S. D. (2018). Examining sensory ability, feature matching, and assessment-based adaptation for a brain-computer interface using the steady-state visually evoked potential . Disability and Rehabilitation: Assistive Technology , 1-9. DOI:10.1080/17483107.2018.1428369 12 Schultz, T. Wand, M. Hueber, T. Krusienski, D. J., & Brumberg, J. S. (2017). Biosignal-based Spoken Communication: A Survey. IEEE Transactions on Audio, Speech, and Language Processing , 25 (12), 2257-2271. DOI:10.1109/TASLP.2017.2752365 13 Brumberg, J. S., Burnison, J. D., & Pitt, K. M. (2016). Using motor imagery to control brain-computer interfaces for communication. In Foundations of Augmented Cognition: Neuroergonomics and Operational Neuroscience (pp. 14-24). Spring International Publishing Switzerland. DOI:10.1007/978-3-319-39955-3 2 14 Brumberg, J. S., Krusienski, D. J., Chakrabarti, S. Gunduz, A. Brunner, P. Ritaccio, A. & Schalk, G. (2016). Spatio-temporal Evolution of Cortical Processes Related to Continuous Overt and Covert Speech in a Reading Task. PLoS ONE , 11 . DOI:10.1371/journal.pone.0166872 15 http://dx.doi.org/10.1371/journal.pone.0166872 15 https://kuscholarworks.ku.edu/handle/1808/22068 16 Brumberg, J. S., Burnison, J. D., & Guenther, F. H. (2016). Brain-machine interfaces for speech restoration. In P. van Leishout, B. Maassen, & H. Terband (Eds.), Speech motor control in normal and disordered speech: future developments in theory and methodology . Brumberg, J. S., Castro, N. & Rao, A. (2015). Temporal dynamics of the speech readiness potential, and its use in a neural decoder of speech motor intention. In Interspeech 2015 . Chakrabarti, S. Sandberg, H. M., Brumberg, J. S., & Krusienski, D. J. (2015). Progress in speech decoding from the electrocorticogram. Biomedical Engineering Letters , 5 (1), 10-21. DOI:10.1007/s13534-015-0175-1 17 Lotte, F. Brumberg, J. S., Brunner, P. Gunduz, A. Ritaccio, A. L., Guan, C. & Schalk, G. (2015). Electrocorticographic Representations of Segmental Features in Continuous Speech. Frontiers in Human Neuroscience , 9 (97). DOI:10.3389/fnhum.2015.00097 18 Stephen, E. LePage, K. Q., Eden, U. T., Brumberg, J. S., Guenther, F. H., & Kramer, M. A. (2014). Assessing dynamics, spatial scale, and uncertainty in task-related brain network analyses. Frontiers in Computational Neuroscience , 8 (31). DOI:10.3389/fncom.2014.00031 19 Terband, H. Maassen, B. Guenther, F. H., & Brumberg, J. S. (2014). Neurocomputational modeling of speech motor control in developmental speech disorders: testing hypotheses about underlying neurological mechanisms. Journal of Communication Disorders , 47 , 17-33. DOI:10.1016/j.jcomdis.2014.01.001 20 Brumberg, J. S., Wright, E. J., Andreasen, D. S., Guenther, F. H., & Kennedy, P. R. (2011). Classification of intended phoneme production from chronic intracortical microelectrode recordings in speech-motor cortex. Frontiers in Neuroscience , 5 (65). Brumberg, J. S., Nieto-Castanon, A. Kennedy, P. & Guenther, F. (2010). Brain-computer interfaces for speech communication. Speech communication , 52 (4), 367379. Brumberg, J. S., & Guenther, F. H. (2010). Development of speech prostheses: current status and recent advances. Expert review of medical devices , 7 (5), 66779. Denby, B. Schultz, T. Honda, K. Hueber, T. Gilbert, J. & Brumberg, J. S. (2010). Silent speech interfaces. Speech Communication , 52 (4), 270287. Guenther, F. H., Brumberg, J. S., Wright, E. J., Nieto-Castanon, A. Tourville, J. A., Panko, M. Law, R. Siebert, S. A., Bartels, J. L., Andreasen, D. S., Ehirim, P. Mao, H. & Kennedy, P. R. (2009). A Wireless Brain-Machine Interface for Real-Time Speech Synthesis. PLoS ONE , 4 (12), e8218. Selected Presentations Brumberg, J. S. (05/23/2018). Decoding articulatory information from electrocorticography during speech production. 7th International Brain-Computer Interface Meeting, Workshop on Progress in Decoding Speech Processes Using Intracranial Signals . Pacific Grove, CA Brumberg, J. S., Pitt, K. M. & Burnison, J. D. (11/30/2016). Evaluating control of commercial AAC devices via brain-computer interface by individuals with neuromotor deficits. American Speech-Language-Hearing Association Convention 2016 . Philadelphia, PA Pitt, K. M., Brumberg, J. S., Searl, J. & Kuruvilla-Dugdale, M. . (11/30/2016). Inter-institutional, cutting edge ALS research across the disease course, from motor speech to AAC BCI. American Speech-Language-Hearing Convention 2016 . Philadelphia, PA Brumberg, J. S. (08/16/2016). Using imagined and preparatory motor activity to control assistive devices for speech communication. 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Workshop on Communication, Restoration of Function, and Consciousness Assessment with BCI . Orlando, FL Brumberg, J. S., Burnison, J. D. & Pitt, K. M. (07/20/2016). Using motor imagery to control brain-computer interfaces for communication. 18th International Conference on Human-Computer Interaction, 10th International Conference on Augmented Cognition . Toronto, ON, Canada Brumberg, J. S., Krusienski, D. J., Lotte, F. & Schalk, G. . (06/30/2016). Examining speech production using intracranial electrophysiological recordings. 6th International Brain-Computer Interface Meeting, Workshop on Decoding Speech Processes using Intracranial Signals . Pacific Grove, CA Brumberg, J. S., Lotte, F. Krusienski, D. J. & Schalk, G. . (03/31/2016). The spatiotemporal dynamics of speech as segmental and suprasegmental timescales. 2016 Motor Speech Conference . Newport Beach, CA Peters, B. Brumberg, J. S., Mooney, A. Fried-Oken, M. & Zeitlin, D. . (11/12/2015). State of the science update: brain-computer interfaces for augmentative & alternative communication. American Speech-Language-Hearing Association Convention 2015 . Denver, CO Brumberg, J. S. (07/31/2014). Interdisciplinary collaborations at work in brain-machine interface research. Merrill Research Retreat . Lied Lodge, Nebraska City, NE Stepp, C. E. & Brumberg, J. S. (11/16/2013). What you need to know: surface electromyography & electroencephalography in speech & hearing. Annual Convention of the American Speech-Language-Hearing Association, 2013 . Chicago, IL Stepp, C. E., Patel, R. & Brumberg, J. S. (11/30/2012). Games for assessment and rehabilitation of speech and language impairments. Annual Convention for American Speech-Language-Hearing Association, 2012 . Atlanta, GA Selected Grants Brumberg, Jonathan, (Principal), A virtual vocal tract for speech output using non-invasive brain-computer interface, National Institutes of Health, $1,836,964, Submitted 11/06/2017 (07/01/2018 - 06/30/2023). Federal. Status: Funded. Brumberg, Jonathan S., (Principal), Evaluating control of commercial AAC devices via brain-computer interface by individuals with neuromotor deficits, American Speech-Language-Hearing Foundation, $25,000, Submitted 04/24/2015 (01/01/2016 - 12/31/2016). Not-for-Profit (not Foundation). Status: Funded. Brumberg, Jonathan S, (Co-Investigator), Prosody in congenital and acquired dysarthria, R21DC013095-01A1, National Institutes of Health / National Institute for Deafness and Other Communication Disorders, $59,947, Submitted 03/05/2013 (12/01/2013 - 11/30/2016). Federal. Status: Funded. Brumberg, Jonathan S, (Principal), Translating brain-computer interface to commercial augmentative and alternative communication devices for clinical practice, University of Kansas, $8,000, Submitted 08/20/2014 (09/12/2014 - 09/30/2016). University (KU or KUMC). Status: Funded. Brumberg, J. S., (Principal), Investigating output modality for a brain-computer interface for communication, NIH R03 DC011304, National Institute of Deafness and Other Communication Disorders (NIDCD), $300,000, (09/21/2011 - 08/31/2016). Federal. Status: Funded. Brumberg, Jonathan S, (Co-Investigator), CELEST: A Center of Excellence for Learning in Education, Science and Technology, SMA-0835976, National Science Foundation, $26,041, (03/01/2013 - 02/28/2015). Federal. Status: Funded. Selected Awards & Honors EURASIP Best Paper Award European Association for Signal Processing 2015 News and events Bridget Rennard and Anna Schauer have applied and been selected to present at this years Undergraduate Research Day at the Capitol on Feb 20, 2019. ( https://ugresearch.ku.edu/student/share/capitol ) Dr. Julie Washington is coming as the invited speaker on February 11, 2019: The Annual Betty H. Bunce Multicultural Lecture Dr. Holly Storkel leads a research project aimed at developing effective interventions for kids with DLD called KAW Story . The project just earned a $1.5 million grant from the National Institute on Deafness and Other Communication Disorders to continue research with 60 Kansas kindergarteners across several school districts. SPLH/IPCDGraduation Information Page, May 12, 2018 (2019 informationto be edited soon) SPLH Professor, Holly Storkel, has been selected as Associate Dean for Academic Innovation & Student Success SPLH Acting Chair, Nancy Brady, has been promoted to Professor by Chancellor Douglas A. Girod - Chancellor announces faculty awarded promotion and tenure for 2018 Three students received Undergraduate Research Awards for SPLH projects in the Spring 2018 semester! Congratulations to Grace Carlson (mentored by Navin Viswanathan), Beth Fentress (mentored by Holly Storkel) and Bri Marsh (mentored by Jon Brumberg). Ana Paul a Mumy 's TEDxKU talk -Placing Value on Human Imperfection Holly Storkel and NavinViswanathanreceive Friends of the Life Span Institute Investigator Awards in 2017 McKenzie Butcher is one of 13 students to receive Undergraduate Research Awards in fall 2017 Kate DeJarnette, a student in KUs speech-language pathology program, walks us through why she chose to study augmentative and alternative communication. Explore a degree in audiology or speech-language pathology at the University of Kansas "The Impact of Parenting on Fragile X Syndrome" in "Research Features" , UK online science magazine, featuring research by Steven F. Warren and Nancy C.Brady KU to present University Scholarly Achievement Award to Nancy Brady on April 10, 2017 KU Today Industrial artists Drop Unit asks: What shapes us? All KU News Why KU Apply One of 34 U.S. public institutions in the prestigious Association of American Universities 44 nationally ranked graduate programs. 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ALA 5th nationwide for service to veterans "Best for Vets: Colleges," Military Times Give to KU SPLH Links on this page: http://scholar.google.com/citations?hl=en&user=k3QunHYAAAAJ brumberg@ku.edu http://splh.ku.edu/jonathan-s-brumberg#tabSummary http://splh.ku.edu/jonathan-s-brumberg#link1 http://splh.ku.edu/jonathan-s-brumberg#link2 http://splh.ku.edu/jonathan-s-brumberg#link3 http://splh.ku.edu/jonathan-s-brumberg#link5 http://dx.doi.org/10.1016/j.specom.2018.09.009 http://dx.doi.org/10.1044/2018_AJSLP-17-0135 http://dx.doi.org/10.1109/TNSRE.2018.2808425 http://dx.doi.org/10.1044/2017_AJSLP-16-0244 http://dx.doi.org/10.1080/17483107.2018.1428369 http://dx.doi.org/10.1109/TASLP.2017.2752365 http://dx.doi.org/10.1007/978-3-319-39955-3%202 http://dx.doi.org/10.1371/journal.pone.0166872 https://kuscholarworks.ku.edu/handle/1808/22068 http://dx.doi.org/10.1007/s13534-015-0175-1 http://dx.doi.org/10.3389/fnhum.2015.00097 http://dx.doi.org/10.3389/fncom.2014.00031 http://dx.doi.org/10.1016/j.jcomdis.2014.01.001 Contact Speech-Language-Hearing: Sciences & Disorders splh@ku.edu 785-864-0630 University of Kansas Dole Human Development Center, Room 3001 1000 Sunnyside Avenue Lawrence, KS 66045-7555 Academics Accessible KU Admissions Alumni Athletics Campuses Giving Jobs Safety Contact KU Lawrence, KS | Maps The University of Kansas prohibits discrimination on the basis of race, color, ethnicity, religion, sex, national origin, age, ancestry, disability, status as a veteran, sexual orientation, marital status, parental status, gender identity, gender expression, and genetic information in the university's programs and activities. Retaliation is also prohibited by university policy. The following persons have been designated to handle inquiries regarding the nondiscrimination policies and are the Title IX coordinators for their respective campuses: Director of the Office of Institutional Opportunity & Access, IOA@ku.edu , Room 1082, Dole Human Development Center, 1000 Sunnyside Avenue, Lawrence, KS 66045, 785-864-6414, 711 TTY (for the Lawrence, Edwards, Parsons, Yoder, and Topeka campuses); Director, Equal Opportunity Office, Mail Stop 7004, 4330 Shawnee Mission Parkway, Fairway, KS 66205, 913-588-8011, 711 TTY (for the Wichita, Salina, and Kansas City, Kansas medical center campuses). diff --git a/src/data/compiled_bios/421.txt b/src/data/compiled_bios/421.txt new file mode 100644 index 0000000000..b5f1432285 --- /dev/null +++ b/src/data/compiled_bios/421.txt @@ -0,0 +1 @@ +SenticNet Helping machines to learn, leverage, love. about sentic computing demos sentic api downloads publications projects team Erik Cambria Erik Cambria is the Founder of SenticNet , a Singapore-based company offering B2B sentiment analysis services, and an Associate Professor at Nanyang Technological University , where he teaches and researches about AI and NLP. Prior to joining NTU, he worked at Microsoft Research Asia and HP Labs India and earned his PhD through a joint programme between the University of Stirling and MIT Media Lab. Erik is recipient of many awards, e.g., the 2018 AI's 10 to Watch and the 2019 IEEE Outstanding Early Career award, and is often featured in the news, e.g., Forbes . He is Associate Editor of several journals, e.g., NEUCOM, INFFUS, KBS, IEEE CIM and IEEE Intelligent Systems (where he manages the Department of Affective Computing and Sentiment Analysis ), and is involved in many international conferences as program chair, PC member, workshop organizer, and invited speaker. Erds number: 2 SCI h-index: 28 (2000+ citations) Scopus h-index: 40 (5000+ citations) GScholar h-index: 56 (10000+ citations) Contact: my_first_name @sentic.net DISCLAIMER: I am rather slow at going through emails (sorry!) but I eventually reply to all of them (we are gentlemen, after all): if you havent received any reply from me after two weeks, chances are that your carrier pigeon has been shot down by my not-so-intelligent (yet!) semantic spam filter. Hence, please rephrase your message (or change subject) and try again. 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Campus Map | Directions | Campuses | Buses | Parking Information Technology | Jobs at KU Finances Tuition | Bill Payments | Scholarship Search Financial Aid | Loans | Beak 'em Bucks Search all KU People Search Library Search Libraries | Hours & locations | Ask Advising | Catalog | Tutors Writing Center | Math help room Finals Schedule | GPA Calculator CMS Login : KU Users | Non-KU Users KU Home About KU Admissions Athletics Alumni Campuses Social Media Endowment KU Today Electrical Engineering and Computer Science School of Engineering Search form Search Home About Chair's Message Vision & Mission Academic Experience Prospective Students Overview Disciplines Undergraduate Programs Academic Experience Degree Requirements Scholarship & Tuition Admissions Degree Accreditation Graduate Programs Master's Program Ph.D. Programs Research Clusters Applied Electromagnetics Communications Systems Computational Science and Engineering Computer Systems Design Computing in the Biosciences Data Science and Engineering IT Project Management Languages and Semantics Network Engineering Network Systems Radar Systems and Remote Sensing RF Systems Engineering Cyber Security Signal Processing Software Engineering Theory of Computing Graduate Funding Cybersecurity Graduate Certificate Data Science and Engineering Software Engineering and Management Certificate RF Systems Engineering Graduate Certificate Facilities Current Students Overview New Students Undergraduate Graduate Undergraduate Students Graduate Students Master's Programs Ph.D. Programs Research Clusters Defense Notices Cybersecurity Graduate Certificate Data Science Graduate Certificate Software Engineering and Management Certificate RF Systems Engineering Graduate Certificate EECS Courses Facilities Research Facilities Facilities Location EECS Workstation Software Eaton Hall Map EECS Shop Faculty & Staff Faculty Chairpersons Administrative Staff Technical Staff Research Overview Research Clusters Applied Electromagnetics Communications Systems Computer Systems Design Computing in the Biosciences Intelligent Informatics Languages and Semantics Network Engineering Network Systems Radar Systems and Remote Sensing RF Systems Engineering Cyber Security Signal Processing Software Engineering Theory of Computing Defense Notices Research Facilities Alumni & Friends Advisory Board Welcome Alumni! Giving Tech Help Menu Home About Chair's Message Vision & Mission Academic Experience Prospective Students Overview Disciplines Undergraduate Programs Academic Experience Degree Requirements Scholarship & Tuition Admissions Degree Accreditation Graduate Programs Master's Program Ph.D. Programs Research Clusters Applied Electromagnetics Communications Systems Computational Science and Engineering Computer Systems Design Computing in the Biosciences Data Science and Engineering IT Project Management Languages and Semantics Network Engineering Network Systems Radar Systems and Remote Sensing RF Systems Engineering Cyber Security Signal Processing Software Engineering Theory of Computing Graduate Funding Cybersecurity Graduate Certificate Data Science and Engineering Software Engineering and Management Certificate RF Systems Engineering Graduate Certificate Facilities Current Students Overview New Students Undergraduate Graduate Undergraduate Students Graduate Students Master's Programs Ph.D. Programs Research Clusters Defense Notices Cybersecurity Graduate Certificate Data Science Graduate Certificate Software Engineering and Management Certificate RF Systems Engineering Graduate Certificate EECS Courses Facilities Research Facilities Facilities Location EECS Workstation Software Eaton Hall Map EECS Shop Faculty & Staff Faculty Chairpersons Administrative Staff Technical Staff Research Overview Research Clusters Applied Electromagnetics Communications Systems Computer Systems Design Computing in the Biosciences Intelligent Informatics Languages and Semantics Network Engineering Network Systems Radar Systems and Remote Sensing RF Systems Engineering Cyber Security Signal Processing Software Engineering Theory of Computing Defense Notices Research Facilities Alumni & Friends Advisory Board Welcome Alumni! Giving Tech Help Search Search form Search Home Blake Bryant BLAKE BRYANT Blake Bryant Professor of Practice blake.d.bryant@ku.edu 1 Primary office : +1 913 897 8791 BEST, 250G University of Kansas Edwards Campus 12600 S Quivira Rd Overland Park, KS 66213 Summary 2 Bio 3 Primary Research Interests Cyber Security Cyber Threat Intelligence Computer Forensics EECS Application Login EECS Gradplanner Login EECS Shop Department Events Please update your browser to view the iframe content. Your browser must support JavaScript to view this content. Please enable JavaScript in your browser settings then try again. KU Today 'For the People' exhibition to open in the Haricombe Gallery Feb. 19 All KU News Give to KU Why KU Apply High school seniors can apply to the SELF Program, a four-year enrichment and leadership experience Engineering students build concrete canoes, Formula race cars, unmanned planes, and rockets for competitions nationwide More first and second place awards in student AIAA aircraft design contests than any other school in the world One of 34 U.S. public institutions in the prestigious Association of American Universities 44 nationally ranked graduate programs. U.S. News & World Report Top 50 nationwide for size of library collection. ALA 5th nationwide for service to veterans "Best for Vets: Colleges," Military Times Links on this page: blake.d.bryant@ku.edu http://eecs.ku.edu/blake-bryant#tabSummary http://eecs.ku.edu/blake-bryant#link1 Contact Electrical Engineering and Computer Science eecs-info@ku.edu 785-864-4620 2001 Eaton Hall 1520 West 15th Street University of Kansas Lawrence, KS 66045-7608 Degree Accreditation Information Enrollment & Graduation Data EECS Resources News Publications Facilities Webmail Alumni Cadence Undergraduate Graduation Planner Prospective Students Disciplines Undergraduate Programs Graduate Programs Facilities Degree Accreditation Enrollment & Graduation Data Current Students New Students Undergraduate Students Graduate Students EECS Courses Facilities Faculty Documents & Forms EECS Courses Facilities Faculty & Staff Faculty Chairpersons Administrative Staff Technical Staff Research Focus Areas Reseach Centers Defense Notices Academics Accessible KU Admissions Alumni Athletics Campuses Giving Jobs Safety Contact KU Lawrence, KS | Maps The University of Kansas prohibits discrimination on the basis of race, color, ethnicity, religion, sex, national origin, age, ancestry, disability, status as a veteran, sexual orientation, marital status, parental status, gender identity, gender expression, and genetic information in the university's programs and activities. Retaliation is also prohibited by university policy. The following persons have been designated to handle inquiries regarding the nondiscrimination policies and are the Title IX coordinators for their respective campuses: Director of the Office of Institutional Opportunity & Access, IOA@ku.edu , Room 1082, Dole Human Development Center, 1000 Sunnyside Avenue, Lawrence, KS 66045, 785-864-6414, 711 TTY (for the Lawrence, Edwards, Parsons, Yoder, and Topeka campuses); Director, Equal Opportunity Office, Mail Stop 7004, 4330 Shawnee Mission Parkway, Fairway, KS 66205, 913-588-8011, 711 TTY (for the Wichita, Salina, and Kansas City, Kansas medical center campuses). diff --git a/src/data/compiled_bios/4211.txt b/src/data/compiled_bios/4211.txt new file mode 100644 index 0000000000..9e79c70127 --- /dev/null +++ b/src/data/compiled_bios/4211.txt @@ -0,0 +1 @@ + Skip to main content The University of Kansas myKU Email Blackboard Enroll & Pay KU Directory A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All Academics Athletics Your browser must support JavaScript to view this content. Please enable JavaScript in your browser settings then try again. Your browser must support JavaScript to view this content. Please enable JavaScript in your browser settings then try again. Your browser must support JavaScript to view this content. Please enable JavaScript in your browser settings then try again. Campus Map | Directions | Campuses | Buses | Parking Information Technology | Jobs at KU Finances Tuition | Bill Payments | Scholarship Search Financial Aid | Loans | Beak 'em Bucks Search all KU People Search Library Search Libraries | Hours & locations | Ask Advising | Catalog | Tutors Writing Center | Math help room Finals Schedule | GPA Calculator CMS Login : KU Users | Non-KU Users KU Home About KU Admissions Athletics Alumni Campuses Social Media Endowment KU Today Electrical Engineering and Computer Science School of Engineering Search form Search Home About Chair's Message Vision & Mission Academic Experience Prospective Students Overview Disciplines Undergraduate Programs Academic Experience Degree Requirements Scholarship & Tuition Admissions Degree Accreditation Graduate Programs Master's Program Ph.D. Programs Research Clusters Applied Electromagnetics Communications Systems Computational Science and Engineering Computer Systems Design Computing in the Biosciences Data Science and Engineering IT Project Management Languages and Semantics Network Engineering Network Systems Radar Systems and Remote Sensing RF Systems Engineering Cyber Security Signal Processing Software Engineering Theory of Computing Graduate Funding Cybersecurity Graduate Certificate Data Science and Engineering Software Engineering and Management Certificate RF Systems Engineering Graduate Certificate Facilities Current Students Overview New Students Undergraduate Graduate Undergraduate Students Graduate Students Master's Programs Ph.D. Programs Research Clusters Defense Notices Cybersecurity Graduate Certificate Data Science Graduate Certificate Software Engineering and Management Certificate RF Systems Engineering Graduate Certificate EECS Courses Facilities Research Facilities Facilities Location EECS Workstation Software Eaton Hall Map EECS Shop Faculty & Staff Faculty Chairpersons Administrative Staff Technical Staff Research Overview Research Clusters Applied Electromagnetics Communications Systems Computer Systems Design Computing in the Biosciences Intelligent Informatics Languages and Semantics Network Engineering Network Systems Radar Systems and Remote Sensing RF Systems Engineering Cyber Security Signal Processing Software Engineering Theory of Computing Defense Notices Research Facilities Alumni & Friends Advisory Board Welcome Alumni! Giving Tech Help Menu Home About Chair's Message Vision & Mission Academic Experience Prospective Students Overview Disciplines Undergraduate Programs Academic Experience Degree Requirements Scholarship & Tuition Admissions Degree Accreditation Graduate Programs Master's Program Ph.D. Programs Research Clusters Applied Electromagnetics Communications Systems Computational Science and Engineering Computer Systems Design Computing in the Biosciences Data Science and Engineering IT Project Management Languages and Semantics Network Engineering Network Systems Radar Systems and Remote Sensing RF Systems Engineering Cyber Security Signal Processing Software Engineering Theory of Computing Graduate Funding Cybersecurity Graduate Certificate Data Science and Engineering Software Engineering and Management Certificate RF Systems Engineering Graduate Certificate Facilities Current Students Overview New Students Undergraduate Graduate Undergraduate Students Graduate Students Master's Programs Ph.D. Programs Research Clusters Defense Notices Cybersecurity Graduate Certificate Data Science Graduate Certificate Software Engineering and Management Certificate RF Systems Engineering Graduate Certificate EECS Courses Facilities Research Facilities Facilities Location EECS Workstation Software Eaton Hall Map EECS Shop Faculty & Staff Faculty Chairpersons Administrative Staff Technical Staff Research Overview Research Clusters Applied Electromagnetics Communications Systems Computer Systems Design Computing in the Biosciences Intelligent Informatics Languages and Semantics Network Engineering Network Systems Radar Systems and Remote Sensing RF Systems Engineering Cyber Security Signal Processing Software Engineering Theory of Computing Defense Notices Research Facilities Alumni & Friends Advisory Board Welcome Alumni! Giving Tech Help Search Search form Search Home Swapan Chakrabarti SWAPAN CHAKRABARTI Swapan Chakrabarti Emeritus Associate Professor chakra@ku.edu 1 Primary office : 785-864-8811 Summary 2 Bio 3 Academics 4 Awards/Honors 5 Primary Research Interests Applications of Neural Networks and Fuzzy Logic For Pattern Recognition Design of High Dynamic Range (HDR) Display Systems Design of True 3D Display Systems Education Ph.D. in Electrical Engineering, University of Nebraska-Lincoln, 1986 M.S. in Computational Physics, University of Nebraska-Lincoln, 1982 M.Sc. in Physics and Electronics (specialization), Calcutta University, India, 1978 B.Sc. in Physics, Honors, Calcutta University, India, 1976 Teaching Digital Logic Design Algorithmic Problem Solving Microcomputer Applications Computer Architecture Capstone Design Course for Computer Engineering Digital Signal Processing-I Graphics in Engineering Research Digital Signal Processing-II (Adaptive Systems) Neural Networks and Fuzzy Systems Research Applications of Neural Networks and Fuzzy Systems in Bioinformatics and Signal Processing Design of High Dynamic Range (HDR) Display Systems to approximate natural contrast ratios Design of True 3D Display Systems Affiliations IEEE Service Undergraduate Program Committee Ph.D. Qualifying Exam Administration committee Students' Award Committee ABET Preparations Committee Memberships IEEE SID Selected Awards & Honors National Golden Key Honor society, 1997 Ned N. Fleming Teaching Award for Outstanding Classroom Teaching, University of Kansas, 1992 EECS Application Login EECS Gradplanner Login EECS Shop Department Events Please update your browser to view the iframe content. Your browser must support JavaScript to view this content. Please enable JavaScript in your browser settings then try again. KU Today Students to present at Kansas Undergraduate Research Day at the Capitol All KU News Give to KU Why KU Apply High school seniors can apply to the SELF Program, a four-year enrichment and leadership experience Engineering students build concrete canoes, Formula race cars, unmanned planes, and rockets for competitions nationwide More first and second place awards in student AIAA aircraft design contests than any other school in the world One of 34 U.S. public institutions in the prestigious Association of American Universities 44 nationally ranked graduate programs. U.S. News & World Report Top 50 nationwide for size of library collection. ALA 5th nationwide for service to veterans "Best for Vets: Colleges," Military Times Links on this page: chakra@ku.edu http://eecs.ku.edu/swapan-chakrabarti#tabSummary http://eecs.ku.edu/swapan-chakrabarti#link1 http://eecs.ku.edu/swapan-chakrabarti#link2 http://eecs.ku.edu/swapan-chakrabarti#link5 Contact Electrical Engineering and Computer Science eecs-info@ku.edu 785-864-4620 2001 Eaton Hall 1520 West 15th Street University of Kansas Lawrence, KS 66045-7608 Degree Accreditation Information Enrollment & Graduation Data EECS Resources News Publications Facilities Webmail Alumni Cadence Undergraduate Graduation Planner Prospective Students Disciplines Undergraduate Programs Graduate Programs Facilities Degree Accreditation Enrollment & Graduation Data Current Students New Students Undergraduate Students Graduate Students EECS Courses Facilities Faculty Documents & Forms EECS Courses Facilities Faculty & Staff Faculty Chairpersons Administrative Staff Technical Staff Research Focus Areas Reseach Centers Defense Notices Academics Accessible KU Admissions Alumni Athletics Campuses Giving Jobs Safety Contact KU Lawrence, KS | Maps The University of Kansas prohibits discrimination on the basis of race, color, ethnicity, religion, sex, national origin, age, ancestry, disability, status as a veteran, sexual orientation, marital status, parental status, gender identity, gender expression, and genetic information in the university's programs and activities. Retaliation is also prohibited by university policy. The following persons have been designated to handle inquiries regarding the nondiscrimination policies and are the Title IX coordinators for their respective campuses: Director of the Office of Institutional Opportunity & Access, IOA@ku.edu , Room 1082, Dole Human Development Center, 1000 Sunnyside Avenue, Lawrence, KS 66045, 785-864-6414, 711 TTY (for the Lawrence, Edwards, Parsons, Yoder, and Topeka campuses); Director, Equal Opportunity Office, Mail Stop 7004, 4330 Shawnee Mission Parkway, Fairway, KS 66205, 913-588-8011, 711 TTY (for the Wichita, Salina, and Kansas City, Kansas medical center campuses). diff --git a/src/data/compiled_bios/4212.txt b/src/data/compiled_bios/4212.txt new file mode 100644 index 0000000000..db120d0847 --- /dev/null +++ b/src/data/compiled_bios/4212.txt @@ -0,0 +1 @@ + Drew Davidson Assistant Professor, University of Kansas EECS Contact / Pointers About News Publications CV (pdf) Contact / Pointers Email: drewdavidson@ku.edu Google Scholar: (link) About I am a computer scientist broadly focused on security and privacy. I'm currently working on automatic security policy generation for web applications and privilege separation for modern server architectures. News August 2018 I'm teaching two courses this semester: EECS 665: Compiler Construction and EECS 700: Mobile Secuirty August 2018 I'm honored and humbled to annouce that I'm joining the faculty at the University of Kansas in the department of Electrical Engineering and Computer Science as an Assistant Professor. October 2017 Our paper, Enhancing Android Security through App Splitting , to appear at SECURECOMM 2017. September 2017 Our paper, Cimplifier: Automatically Debloating Containers , to appear at FSE 2017. April 2017 Our paper, Secure Integration of Web Content and Applications on Commodity Mobile Operating Systems , to appear at AsiaCCS 2017. June 2017 Tala Security has received an NSF SBIR Phase I award for our proposal Automated Security for the DevOps World . We are very grateful to the National Science Foundation for their support. December 2016 I've successfully completed my dissertation, Enhancing Mobile Security through App Splitting . Thanks to my advisor Somesh Jha, and my PhD committee: Thomas Reps, Aws Albarghouthi, Mihai Christodorescu, and Xinyu Zhang. August 2016 I am co-founding a computer security start-up, Tala Security. Joining me are my former advisor Somesh Jha, and industry veterans Sanjay Sawhney, Aanand Krishnan, and Swapnil Bhalode. Publications Drew Davidson, Vaibhav Rastogi, and Somesh Jha. Enhancing Android Security through App Splitting. In EAI International Conference on Security and Privacy in Communication Networks (SecureComm) , 2017. Vaibhav Rastogi and Drew Davidson and Lorenzo De Carli and Somesh Jha and Patrick McDaniel. Cimplifier: Automatically Debloating Containers. In Joint Meeting of the European Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundations of Software Engineering (ESEC/FSE) , 2017. Drew Davidson, Yaohui Chen, Franklin George, Long Lu, and Somesh Jha. Secure Integration of Web Content and Applications on Commodity Operating Systems. In ACM Asia Conference on Computer and Communications Security (ASIACCS) , 2017. Drew Davidson, Hao Wu, Robert Jellinek, Thomas Ristenpart, and Vikas Singh. Controlling UAVs with Sensor Input Spoofing Attacks. In USENIX Workshop on Offensive Technologies (WOOT) , 2016. Drew Davidson, Matt Fredrikson, and Ben Livshits. MoRePriv: Mobile OS Support for Application Personalization and Privacy. In Annual Computer Security Applications Conference (ACSAC) , 2014. Drew Davidson, Benjamin Moench, Thomas Ristenpart, and Somesh Jha. FiE on Firmware. In USENIX Security Symposium , 2013. Matt Fredrikson, Drew Davidson, Ben Livshits, and Somesh Jha. Towards Enforceable Data-Driven Privacy Policies. In Workshop on Web 2.0 Security and Privacy (W2SP) , 2011. Roberto Paleari, Lorenzo Martignoni, Emanuele Passerini, Drew Davidson, Matt Fredrikson, Jon Giffin, and Somesh Jha. Automatic Generation of Remediation Procedures for Malware Infections. In USENIX Security Symposium , 2010. Drew Davidson, Randy Smith, Nic Doyle, and Somesh Jha. Protocol Normalization Using Attribute Grammars. In European Symposium on Research in Computer Security (ESORICS) , 2009. diff --git a/src/data/compiled_bios/4213.txt b/src/data/compiled_bios/4213.txt new file mode 100644 index 0000000000..b87dcc7bf9 --- /dev/null +++ b/src/data/compiled_bios/4213.txt @@ -0,0 +1 @@ + Kenneth R. Demarest Professor Electrical Engineering Department of Electrical Engineering & Computer Science 3028 Eaton Hall, Lawrence, Kansas 66045 785-864-7395 (voice) 785-864-4971 (fax) demarest@ku.edu (email) Natural Science viva, c. 1890 .. not much different from today! Examiner: What is Electricity? Candidate: Oh Sir, Im sure I have learnt what it is Im sure I did know but Ive forgotten Examiner: How very unfortunate. Only two persons have ever known what Electricity is, the Author of Nature and yourself. Now one of the two has forgotten. Source: Falconer Madan, Oxford Outside the Guide-Books , 1923 Quoted in: The Oxford Book of Oxford , Jan Morris, OUP, 1978 Teaching Spring 2019 : EECS 211Circuits I1 EECS 211 Website EECS 221Electromagnetics I EECS 221 Website EECS 6111Electromagnetic Compatibility EECS 611 Website Research Interests Computational Electromagnetics Antennas Fiber Optic Components and Communication Systems Laboratory Affiliations ITTC Lightwave Communication Systems (LCS) Laboratory Center for Remote Sensing of Ice Sheets Resume and Recent Publications demarest@ku.edu diff --git a/src/data/compiled_bios/4214.txt b/src/data/compiled_bios/4214.txt new file mode 100644 index 0000000000..15c121f6cd --- /dev/null +++ b/src/data/compiled_bios/4214.txt @@ -0,0 +1 @@ + Skip to main content The University of Kansas myKU Email Blackboard Enroll & Pay KU Directory A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All Academics Athletics Your browser must support JavaScript to view this content. Please enable JavaScript in your browser settings then try again. Your browser must support JavaScript to view this content. Please enable JavaScript in your browser settings then try again. Your browser must support JavaScript to view this content. Please enable JavaScript in your browser settings then try again. Campus Map | Directions | Campuses | Buses | Parking Information Technology | Jobs at KU Finances Tuition | Bill Payments | Scholarship Search Financial Aid | Loans | Beak 'em Bucks Search all KU People Search Library Search Libraries | Hours & locations | Ask Advising | Catalog | Tutors Writing Center | Math help room Finals Schedule | GPA Calculator CMS Login : KU Users | Non-KU Users KU Home About KU Admissions Athletics Alumni Campuses Social Media Endowment KU Today Electrical Engineering and Computer Science School of Engineering Search form Search Home About Chair's Message Vision & Mission Academic Experience Prospective Students Overview Disciplines Undergraduate Programs Academic Experience Degree Requirements Scholarship & Tuition Admissions Degree Accreditation Graduate Programs Master's Program Ph.D. Programs Research Clusters Applied Electromagnetics Communications Systems Computational Science and Engineering Computer Systems Design Computing in the Biosciences Data Science and Engineering IT Project Management Languages and Semantics Network Engineering Network Systems Radar Systems and Remote Sensing RF Systems Engineering Cyber Security Signal Processing Software Engineering Theory of Computing Graduate Funding Cybersecurity Graduate Certificate Data Science and Engineering Software Engineering and Management Certificate RF Systems Engineering Graduate Certificate Facilities Current Students Overview New Students Undergraduate Graduate Undergraduate Students Graduate Students Master's Programs Ph.D. Programs Research Clusters Defense Notices Cybersecurity Graduate Certificate Data Science Graduate Certificate Software Engineering and Management Certificate RF Systems Engineering Graduate Certificate EECS Courses Facilities Research Facilities Facilities Location EECS Workstation Software Eaton Hall Map EECS Shop Faculty & Staff Faculty Chairpersons Administrative Staff Technical Staff Research Overview Research Clusters Applied Electromagnetics Communications Systems Computer Systems Design Computing in the Biosciences Intelligent Informatics Languages and Semantics Network Engineering Network Systems Radar Systems and Remote Sensing RF Systems Engineering Cyber Security Signal Processing Software Engineering Theory of Computing Defense Notices Research Facilities Alumni & Friends Advisory Board Welcome Alumni! Giving Tech Help Menu Home About Chair's Message Vision & Mission Academic Experience Prospective Students Overview Disciplines Undergraduate Programs Academic Experience Degree Requirements Scholarship & Tuition Admissions Degree Accreditation Graduate Programs Master's Program Ph.D. Programs Research Clusters Applied Electromagnetics Communications Systems Computational Science and Engineering Computer Systems Design Computing in the Biosciences Data Science and Engineering IT Project Management Languages and Semantics Network Engineering Network Systems Radar Systems and Remote Sensing RF Systems Engineering Cyber Security Signal Processing Software Engineering Theory of Computing Graduate Funding Cybersecurity Graduate Certificate Data Science and Engineering Software Engineering and Management Certificate RF Systems Engineering Graduate Certificate Facilities Current Students Overview New Students Undergraduate Graduate Undergraduate Students Graduate Students Master's Programs Ph.D. Programs Research Clusters Defense Notices Cybersecurity Graduate Certificate Data Science Graduate Certificate Software Engineering and Management Certificate RF Systems Engineering Graduate Certificate EECS Courses Facilities Research Facilities Facilities Location EECS Workstation Software Eaton Hall Map EECS Shop Faculty & Staff Faculty Chairpersons Administrative Staff Technical Staff Research Overview Research Clusters Applied Electromagnetics Communications Systems Computer Systems Design Computing in the Biosciences Intelligent Informatics Languages and Semantics Network Engineering Network Systems Radar Systems and Remote Sensing RF Systems Engineering Cyber Security Signal Processing Software Engineering Theory of Computing Defense Notices Research Facilities Alumni & Friends Advisory Board Welcome Alumni! Giving Tech Help Search Search form Search Home Tyrone Duncan TYRONE DUNCAN Download T. Duncan's vCard 1 Visit T. Duncan's Website 2 Tyrone Duncan Courtesy Professor duncan@ku.edu 3 Primary office : 785-864-3032 512 Snow Hall Summary 4 Bio 5 Primary Research Interests Differential Geometry Probability Stochastic Control Statistics EECS Application Login EECS Gradplanner Login EECS Shop Department Events Please update your browser to view the iframe content. Your browser must support JavaScript to view this content. Please enable JavaScript in your browser settings then try again. KU Today Industrial artists Drop Unit asks: What shapes us? All KU News Give to KU Why KU Apply High school seniors can apply to the SELF Program, a four-year enrichment and leadership experience Engineering students build concrete canoes, Formula race cars, unmanned planes, and rockets for competitions nationwide More first and second place awards in student AIAA aircraft design contests than any other school in the world One of 34 U.S. public institutions in the prestigious Association of American Universities 44 nationally ranked graduate programs. U.S. News & World Report Top 50 nationwide for size of library collection. ALA 5th nationwide for service to veterans "Best for Vets: Colleges," Military Times Links on this page: http://eecs.ku.edu/people/vcard/tduncan.vcf http://eecs.ku.edu/people/faculty/tduncan duncan@ku.edu http://eecs.ku.edu/tyrone-duncan#tabSummary http://eecs.ku.edu/tyrone-duncan#link1 Contact Electrical Engineering and Computer Science eecs-info@ku.edu 785-864-4620 2001 Eaton Hall 1520 West 15th Street University of Kansas Lawrence, KS 66045-7608 Degree Accreditation Information Enrollment & Graduation Data EECS Resources News Publications Facilities Webmail Alumni Cadence Undergraduate Graduation Planner Prospective Students Disciplines Undergraduate Programs Graduate Programs Facilities Degree Accreditation Enrollment & Graduation Data Current Students New Students Undergraduate Students Graduate Students EECS Courses Facilities Faculty Documents & Forms EECS Courses Facilities Faculty & Staff Faculty Chairpersons Administrative Staff Technical Staff Research Focus Areas Reseach Centers Defense Notices Academics Accessible KU Admissions Alumni Athletics Campuses Giving Jobs Safety Contact KU Lawrence, KS | Maps The University of Kansas prohibits discrimination on the basis of race, color, ethnicity, religion, sex, national origin, age, ancestry, disability, status as a veteran, sexual orientation, marital status, parental status, gender identity, gender expression, and genetic information in the university's programs and activities. Retaliation is also prohibited by university policy. 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Giving Tech Help Menu Home About Chair's Message Vision & Mission Academic Experience Prospective Students Overview Disciplines Undergraduate Programs Academic Experience Degree Requirements Scholarship & Tuition Admissions Degree Accreditation Graduate Programs Master's Program Ph.D. Programs Research Clusters Applied Electromagnetics Communications Systems Computational Science and Engineering Computer Systems Design Computing in the Biosciences Data Science and Engineering IT Project Management Languages and Semantics Network Engineering Network Systems Radar Systems and Remote Sensing RF Systems Engineering Cyber Security Signal Processing Software Engineering Theory of Computing Graduate Funding Cybersecurity Graduate Certificate Data Science and Engineering Software Engineering and Management Certificate RF Systems Engineering Graduate Certificate Facilities Current Students Overview New Students Undergraduate Graduate Undergraduate Students Graduate Students Master's Programs Ph.D. Programs Research Clusters Defense Notices Cybersecurity Graduate Certificate Data Science Graduate Certificate Software Engineering and Management Certificate RF Systems Engineering Graduate Certificate EECS Courses Facilities Research Facilities Facilities Location EECS Workstation Software Eaton Hall Map EECS Shop Faculty & Staff Faculty Chairpersons Administrative Staff Technical Staff Research Overview Research Clusters Applied Electromagnetics Communications Systems Computer Systems Design Computing in the Biosciences Intelligent Informatics Languages and Semantics Network Engineering Network Systems Radar Systems and Remote Sensing RF Systems Engineering Cyber Security Signal Processing Software Engineering Theory of Computing Defense Notices Research Facilities Alumni & Friends Advisory Board Welcome Alumni! Giving Tech Help Search Search form Search Home Esam El-Araby ESAM EL-ARABY Google Scholar 1 dblp - CS Bibliography 2 Esam El-Araby, Ph.D. Assistant Professor esam@ku.edu 3 Primary office : 785-864-3171 2042 Eaton Hall University of Kansas 1520 West 15th Street Lawrence, KS 66045 Second office : 134 Nichols Hall Summary 4 Bio 5 Academics 6 Publications 7 Presentations 8 Awards/Honors 8 Esam El-Araby received his B.Sc. degree in Electronics and Telecommunication Engineering and his M.Sc. (Highest Diploma) degree in Automatic Control and Computer Engineering from Assiut University, Egypt, in 1991, and 1997 respectively. He received his M.Sc. and Ph.D. degrees in Computer Engineering from the George Washington University (GWU), USA, in 2005, and 2010 respectively. Dr. El-Araby joined the University of Kansas (KU) as an Assistant Professor in the Department of Electrical Engineering and Computer Science in 2015. He was the founder and director of the HEterogeneous and Biologically-inspired Architectures (HEBA) laboratory at the Catholic University of America (CUA) since 2010. Prior to that, he worked at the High Performance Computing Laboratory (HPCL) at GWU as well as the NSF Center for High-Performance Reconfigurable Computing (NSF-CHREC). His research work was mainly funded by organizations such as DoD, DARPA, NSF, and NASA and was published in national and international gatherings organized by IEEE, ACM, and NASA. His publication record includes two book chapters on High-Performance Reconfigurable Computing (HPRC) systems and remote sensing, 12 journal papers, and 54 conference papers. Primary Research Interests Computer Architecture Reconfigurable Computing Quantum Computing Reversible Computing Heterogeneous Computing Biologically-Inspired and Neuromorphic Architectures Evolvable Hardware Education Doctor of Philosophy (Ph.D.), Computer Engineering, The George Washington University (GWU), USA, 2010 Master of Science (M.Sc.), Computer Engineering, The George Washington University (GWU), USA, 2005 M.Sc. (Highest Diploma), Automatic Control and Computer Engineering, Assiut University, Egypt, 1997 Bachelor of Science (B.Sc.), Electronics and Telecommunication Engineering, Assiut University, Egypt, 1991 Teaching Computer Architecture (Conventional Microarchitecture) Advanced Computer Architecture (Conventional, Reconfigurable, Neuromorphic, Reversible, Quantum) Digital Systems Design Embedded Systems Programming Computer Organization Switching Circuits and Logic Design Numerical Analysis and Optimization Research Computer Architecture Reconfigurable Computing Quantum Computing Reversible Computing Heterogeneous Computing Biologically-Inspired and Neuromorphic Architectures Evolvable Hardware Service Editorial and Reviewing Activities National U.S. Department of Energy, Office of Science, Advanced Scientific Computing Research (ASCR), 2019 SBIR/STTR Program (Phase I), HPC Cybersecurity Panel. (2019), Panelist and Reviewer. (December 2018) U.S. Department of Energy, Office of Science, Advanced Scientific Computing Research (ASCR), ASCR Leadership Computing Challenge (ALCC). (2018), Panelist and Reviewer. (March 2018) U.S. Department of Energy, Office of Science, Advanced Scientific Computing Research (ASCR), 2018 SBIR/STTR Program (Phase II), HPC Cybersecurity Panel. (2018), Panelist and Reviewer. (February 2018) U.S. Department of Energy, Office of Science, Advanced Scientific Computing Research (ASCR), 2018 Report on Extreme Heterogeneity Architectures. (2018), Participant. (January 2018) U.S. Department of Energy, Office of Science, Advanced Scientific Computing Research (ASCR), 2018 SBIR/STTR Program (Phase I), HPC Cybersecurity Panel. (2018), Panelist and Reviewer. (January 2018) NASA Space Technology Research Fellowships (NSTRF), Space Technology Mission Directorate, Technology Area TA11, directed at students pursuing or planning to pursue Master's or Doctoral degrees in space technology disciplines. (2017), Panelist and Reviewer. (2016 - 2017) U.S. Department of Energy, Office of Science, Advanced Scientific Computing Research (ASCR), 2016 Early Career Research Program. (2016), Panelist and Reviewer. (December 2016) U.S. Department of Energy, Office of Science, Advanced Scientific Computing Research (ASCR), 2017 SBIR/STTR Program (Phase I), HPC Cybersecurity Panel. (2016), Panelist and Reviewer. (November 2016) U.S. Department of Energy, Office of Science, Advanced Scientific Computing Research (ASCR), Machine Learning Panel. (2016), Panelist and Reviewer. (July 2016) U.S. Department of Energy, Office of Science, Advanced Scientific Computing Research (ASCR), 2016 Report on Neuromorphic Computing Architectures, Models, and Applications: A Beyond-CMOS Approach to Future Computing. (2016), Participant. (June 2016) NASA Space Technology Research Fellowships (NSTRF), Space Technology Mission Directorate, Technology Area TA11, directed at students pursuing or planning to pursue Master's or Doctoral degrees in space technology disciplines. (2016), Panelist and Reviewer. (2015 - 2016) Directorate for Computer and Information Science and Engineering (CISE), National Science Foundation (NSF), Submissions of Major Research Instrumentation (MRI) proposals, Panelist and Reviewer. (2012) Computer Systems Research (CSR) program, Division of Computer and Network Systems (CNS), Directorate for Computer and Information Science and Engineering (CISE), National Science Foundation (NSF), Submissions of research proposals, Panelist and Reviewer. (2011) International IEEE Transactions on Parallel and Distributed Systems (IEEE-TPDS), Reviewer. (2016 - Present) International Journal of Reconfigurable Computing (Hindawi-IJRC), Guest Editor. (2010 - Present) ACM Transactions on Reconfigurable Technology and Systems (TRETS), Reviewer. (2010 - Present) IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS), Reviewer. (2010 - Present) IEEE Micro Magazine (IEEE-Micro), Reviewer. (2010 - Present) IEEE Transactions on Computers (IEEE-TC), Reviewer. (2010 - Present) Journal of Embedded Hardware Design, Microprocessors and Microsystems (Elsevier-MICPRO), Reviewer. (2010 - Present) Journal of Real-Time Image Processing (Springer-JRTIP), Reviewer. (2010 - Present) Journal of System Architecture, JSA (Elsevier - The EUROMICRO Journal), Reviewer. (2010 - Present) Journal of Systems Architecture (Elsevier-JSA), Reviewer. (2010 - Present) Parallel Computing Systems and Applications (Elsevier-PARCO), Reviewer. (2010 - Present) Remote Sensing of Environment (Elsevier-RSE), Reviewer. (2010 - Present) The 28 th International Conference on Field-Programmable Logic and Applications (FPL 2018), FPL is the oldest, largest, and most prestigious international conference in the field of reconfigurable technology, Technical Program Committee (TPC), Member. (August 2018) 18 th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid 2018), Publications Chair. (May 2018) The 15 th IEEE International Conference on Smart City (SmartCity 2017), Publications Chair. (December 2017) The 19 th IEEE International Conference on High Performance Computing and Communications (HPCC 2017), Publications Chair. (December 2017) The 3 rd IEEE International Conference on Data Science and Systems (DSS 2017), Publications Chair. (December 2017) The 27 th International Conference on Field-Programmable Logic and Applications (FPL 2017), FPL is the oldest, largest, and most prestigious international conference in the field of reconfigurable technology, Tutorial and Workshop Chair. (September 2017) Proceedings of the IEEE, Reviewer. (2014) The 25 th IEEE International Conference on Application-specific Systems, Architectures and Processors (ASAP 2014), Publications Chair. (June 2014) The 24 th IEEE International Conference on Application-specific Systems, Architectures and Processors (ASAP 2013), Publications Chair. (June 2013) International Workshop on Dynamic Reconfigurable Network-on-Chip (DRNoC 2012), Technical Program Committee (TPC), Member. (2012) International Conference on ReConFigurable Computing and FPGAs (ReConFig 2011), Technical Program Committee (TPC), Member. (2011) VII Southern Programmable Logic Conference (SPL 2011), Technical Program Committee (TPC), Member. (2011) Workshop on Multiprocessor Systems on (Programmable) Chips (MPSoC 2011), Technical Program Committee (TPC), Member. (2011) The 9 th ACS/IEEE International Conference On Computer Systems And Applications (AICCSA 2011), Publications Chair. (2011) Memberships IEEE Senior Member, (February 2016 - Present) IEEE Computer Society, (1995 - Present) IEEE Member, (1995 - February 2016) Selected Publications Book Chapters El-Araby, E., Merchant, S. G., & El-Ghazawi, T. (2013). Assessing Productivity of High-Level Design Methodologies for High-Performance Reconfigurable Computers. In W. Vanderbauwhede & K. Benkrid (Eds.), High-Performance Computing using FPGAs, Part III (pp. 719-745). New York: Springer. http://link.springer.com/chapter/10.1007/978-1-4614-1791-0_24 9 ISBN: 978-1-4614-1790-3 10 , Online ISBN: 978-1-4614-1791-0 11 El-Araby, E., Taher, M., El-Ghazawi, T., & Le Moigne, J. (2007). Remote Sensing and High Performance Reconfigurable Computing Systems. In A. J. Plaza & C. I. Chang (Eds.), Computer & Information Science Series. High Performance Computing in Remote Sensing, Volume 16 (pp. 496). New York: Chapman & Hall/CRC. ISBN: 9781584886624 12 , ISBN 10: 1584886625 13 Journal Articles El-Araby, E., Gonzalez, I., Lopez-Buedo, S., & El-Ghazawi, T. (2012). A Convolve-And-MErge Approach for Exact Computations on High-Performance Reconfigurable Computers. International Journal for Reconfigurable Computing (IJRC), 2012 , Article ID 925864. doi:10.1155/2012/925864 El-Araby, E., Merchant, S. G., & El-Ghazawi, T. (2011). A Framework for Evaluating High-Level Design Methodologies for High-Performance Reconfigurable Computers. IEEE Transactions on Parallel and Distributed Systems, 22 (1). El-Araby, E., El-Ghazawi, T., Le Moigne, J., & Irish, R. (2009). Reconfigurable Processing for Satellite On-Board Automatic Cloud Cover Assessment (ACCA). Journal of Real-Time Image Processing (JRTIP) Journal No. 11554 , 4 (3), 245-259. doi:10.1007/s11554-008-0107-8 ISSN: 1861-8200 14 , ISSN Online 1861-8219 15 El-Araby, E., Gonzalez, I., & El-Ghazawi, T. (2009). Exploiting Partial Run-Time Reconfiguration for High-Performance Reconfigurable Computing. ACM Transactions on Reconfigurable Technology and Systems (TRETS), 1 (4), Article 21. El-Ghazawi, T., El-Araby, E., Huang, M., Gaj, K., Kindratenko, V., & Buell, D. (2008). The Promise of High-Performance Reconfigurable Computing. IEEE Computer, 41 (2), 69-76. El-Araby, E., Taher, M., Gaj, K., El-Ghazawi, T., Caliga, D., & Alexandridis, N. (2006). System-Level Parallelism and Concurrency Maximisation in Reconfigurable Computing Applications. International Journal of Embedded Systems (IJES), 2 (1/2), 62-72. Conference Proceedings Mahmud, N., & El-Araby, E. (2018). Towards Higher Scalability of Quantum Hardware Emulation using Efficient Resource Scheduling. In The 3rd IEEE International Conference on Rebooting Computing (ICRC 2018), Washington, DC, USA, November 2018 . Mahmud, N., & El-Araby, E. (2018). A Scalable High-Precision and High-Throughput Architecture for Emulation of Quantum Algorithms. In The 31st IEEE International System-on-Chip Conference (SOCC 2018), Washington, DC, USA, September 2018 . Mahmud, N., El-Araby, E., Shaw, H., & Cooper, L. (2018). Securing and auto-synchronizing communication over free-space optics using quantum key distribution and chaotic systems. In Quantum Communications and Quantum Imaging XVI, SPIE18, San Diego, CA, USA, August 2018 . El-Araby, E., & El-Ghazawi, T. (2018). Enabling Ease-of-Use for Extreme-Scale High-Performance Reconfigurable Architectures Using Hardware Virtualization. In The 2018 International Conference on High Performance Computing & Simulation (HPCS 2018), Orlans, France, July 2018 . El-Araby, E. (2018). Enabling Higher Productivity and Portability for Extremely-Heterogeneous Architectures: A High-Performance Reconfigurable Computing Case Study. In DOEs International Extreme Heterogeneity Workshop (WEH 2018), Washington DC, USA, January 2018 . (Invited) El-Araby, E., & Namazi, N. (2016). Chaotic Architectures for Secure Free-Space Optical Communication. In The 26th International Conference on Field-Programmable Logic and Applications (FPL 2016), Lausanne, Switzerland, August 2016 . El-Araby, E., Narayana, V. K., & El-Ghazawi, T. (2010). Space and Time Sharing of Reconfigurable Hardware for Accelerated Parallel Processing. In Proceedings of the 6th International Symposium on Applied Reconfigurable Computing (ARC 2010), Bangkok, Thailand, March 2010 . El-Araby, E., Gonzalez, I., & El-Ghazawi, T. (2008). Virtualizing and Sharing Reconfigurable Resources in High-Performance Reconfigurable Computing Systems. In Second International Workshop on High-Performance Reconfigurable Computing Technology and Applications (HPRCTA08), held in conjunction with SC08, Austin, TX, USA, November, 2008 . El-Ghazawi, T., Serres, O., Bahra, S., Huang, M., & El-Araby, E. (2008). Parallel Programming of High-Performance Reconfigurable Computing Systems with Unified Parallel C. In Reconfigurable Systems Summer Institute 2008 (RSSI'08), Urbana, Illinois, USA, 7-10 July, 2008 . Gonzalez, I., El-Araby, E., Saha, P., El-Ghazawi, T., Simmler, H., Merchant, S. G., Holland, B. M., Reardon, C., George, A. D., Lam, H., Stitt, G., Alam, N., & Smith, M. C. (2008). Classification of Application Development for FPGA-Based Systems. In National Aerospace & Electronics Conference 2008 (NAECON'08), Fairborn, Ohio, USA, 16-18 July 2008 . Abouellail, M., El-Araby, E., Taher, M., El-Ghazawi, T., & Newby, G. B. (2007). DNA and Protein Sequence Alignment with High Performance Recofigurable Systems. In NASA/ESA Conference on Adaptive Hardware and Systems 2007 (AHS2007), August 5-8, 2007, Scotland, UK . El-Araby, E., Gonzalez, I., & El-Ghazawi, T. (2007). Bringing High-Performance Reconfigurable Computing to Exact Computations. In Proceedings of the 17th International Conference on Field Programmable Logic and Applications (FPL 2007), Amsterdam, Netherlands, 27-29 August 2007 . El-Araby, E., Gonzalez, I., & El-Ghazawi, T. (2007). Performance Bounds of Partial Run-Time Reconfiguration in High-Performance Reconfigurable Computing. In First International Workshop on High-Performance Reconfigurable Computing Technology and Applications (HPRCTA07), held in conjunction with SC07, Reno, NV, USA, November, 2007 . El-Araby, E., Nosum, P., & El-Ghazawi, T. (2007). Productivity of High-Level Languages on Reconfigurable Computers: An HPC Perspective. In IEEE International Conference on Field-Programmable Technology (FPT 2007), Japan, December, 2007 . El-Araby, E., Taher, M., Abouellail, M., El-Ghazawi, T., & Newby, G. B. (2007). Comparative Analysis of High Level Programming for Reconfigurable Computers: Methodology and Empirical Study. In III Southern Conference on Programmable Logic (SPL2007), Mar del Plata, Argentina, February, 2007 . El-Araby, E., Taher, M., El-Ghazawi, T., & Le Moigne, J. (2006). Automatic Image Registration for Remote Sensing on Reconfigurable Computers. In 2006 MAPLD International Conference, Washington, DC, USA, September, 2006 . El-Araby, E., Taher, M., El-Ghazawi, T., Youssif, A., Irish, R., & Le Moigne, J. (2006). Performance Scalability of a Remote Sensing Application on High Performance Reconfigurable Platforms. In NASA Earth-Sun System Technology Conference (ESTC 2006), Maryland, USA, June, 2006 . El-Araby, E., El-Ghazawi, T., & Gaj, K. (2005). A System-Level Design Methodology for Reconfigurable Computing Applications. In IEEE International Conference On Field-Programmable Technology (FPT 2005), Singapore, December, 2005 . El-Araby, E., Taher, M., El-Ghazawi, T., & Gaj, K. (2005). Implementation of Image Processing Kernels on Reconfigurable Computers: A Comparative Study between SRC and SGI Platforms. In 2005 MAPLD International Conference, Washington, DC, USA, September, 2005 . El-Araby, E., Taher, M., El-Ghazawi, T., & Le Moigne, J. (2005). Prototyping Automatic Cloud Cover Assessment (ACCA) Algorithm for Remote Sensing On-Board Processing on a Reconfigurable Computer. In IEEE International Conference On Field-Programmable Technology (FPT 2005), Singapore, December, 2005 . El-Araby, E., Taher, M., El-Ghazawi, T., Abouellail, M., Sastry, N., & Gaj, K. (2005). Efficient Implementation of a String Matching Algorithm for SRC and Cray Reconfigurable Computers. In 2005 MAPLD International Conference, Washington, DC, USA, September, 2005 . El-Ghazawi, T., Gaj, K., Alexandridis, N., Michalski, A., Fidanci, D., Taher, M., El-Araby, E., Chitalwala, E., & Saha, P. (2005). Reconfigurable Computers: An Empirical Analysis. In ACM/SIGDA Thirteenth International Symposium on Field Programmable Gate Arrays (FPGA 2005), Monterey, California, USA, February, 2005 . Harkins, J., El-Ghazawi, T., El-Araby, E., & Huang, M. (2005). Performance of Sorting Algorithms on the SRC 6 Reconfigurable Computer. In IEEE International Conference On Field-Programmable Technology (FPT 2005), Singapore, December, 2005 . Taher, M., El-Araby, E., & El-Ghazawi, T. (2005). Configuration Caching in Adaptive Computing Systems Using Association Rule Mining (ARM). In Dynamic Reconfigurable Systems Workshop (DRS 2005), Innsbruck, Austria, March, 2005 . El-Araby, E., El-Ghazawi, T., Le Moigne, J., & Gaj, K. (2004). Wavelet Spectral Dimension Reduction of Hyperspectral Imagery on a Reconfigurable Computer. In IEEE International Conference On Field-Programmable Technology (FPT 2004), Brisbane, Australia, December, 2004 . El-Araby, E., Taher, M., Gaj, K., El-Ghazawi, T., Caliga, D., & Alexandridis, N. (2004). System-Level Parallelism and Throughput Optimization in Designing Reconfigurable Computing Applications. In Reconfigurable Architecture Workshop (RAW 2004), Santa Fe, New Mexico, USA, April, 2004 . El-Araby, E., Taher, M., Gaj, K., El-Ghazawi, T., Caliga, D., & Alexandridis, N. (2003). Exploiting System-Level Parallelism In The Application Development On A Reconfigurable Computer. In IEEE International Conference On Field-Programmable Technology (FPT 2003), Tokyo, Japan, December, 2003 . Show All Publications 4 All Publications Book Chapters El-Araby, E., Merchant, S. G., & El-Ghazawi, T. (2013). Assessing Productivity of High-Level Design Methodologies for High-Performance Reconfigurable Computers. In W. Vanderbauwhede & K. Benkrid (Eds.), High-Performance Computing using FPGAs, Part III (pp. 719-745). New York: Springer. http://link.springer.com/chapter/10.1007/978-1-4614-1791-0_24 9 ISBN: 978-1-4614-1790-3 10 , Online ISBN: 978-1-4614-1791-0 11 El-Araby, E., Taher, M., El-Ghazawi, T., & Le Moigne, J. (2007). Remote Sensing and High Performance Reconfigurable Computing Systems. In A. J. Plaza & C. I. Chang (Eds.), Computer & Information Science Series. High Performance Computing in Remote Sensing, Volume 16 (pp. 496). New York: Chapman & Hall/CRC. ISBN: 9781584886624 12 , ISBN 10: 1584886625 13 Journal Articles Chang, L.-C., El-Araby, E., Dang, V., & Dao, L. (2014). GPU Acceleration of Nonlinear Diffusion Tensor Estimation Using CUDA and MPI. Journal of Neurocomputing, 135 , 328338. ISSN: 0925-2312 16 Dang, V., Nguyen, Q., Kilic, O., & El-Araby, E. (2013). Parallelizing Fast Multipole Method for Large-Scale Electromagnetic Problems using GPU Clusters. IEEE Antennas and Wireless Propagation Letters (AWPL), 12 . Kilic, O., El-Araby, E., Nguyen, Q., & Dang, V. (2013). Bio-Inspired Optimization for Electromagnetic Structure Design Using Full-Wave Techniques on GPUs. International Journal of Numerical Modelling: Electronic Networks, Devices and Fields (JNM) . doi:10.1002/jnm.1878 Aldahlawi, A., El-Araby, E., Suboh, S., & El-Ghazawi, T. (2012). An Empirical and Architectural Study of Using an SSD-Aware Hybrid Storage System to Improve the Performance of the Data Intensive Applications. International Journal of Information and Electronics Engineering (IJIEE), 2 (5), 720-730. doi:10.7763/IJIEE.2012.V2.197 ISSN: 2010-3719 17 El-Araby, E., Gonzalez, I., Lopez-Buedo, S., & El-Ghazawi, T. (2012). A Convolve-And-MErge Approach for Exact Computations on High-Performance Reconfigurable Computers. International Journal for Reconfigurable Computing (IJRC), 2012 , Article ID 925864. doi:10.1155/2012/925864 El-Araby, E., Kilic, O., & Dang, V. (2012). Exploiting FPGAs and GPUs for Electromagnetics Applications: Interferometric Imaging in Random Media Case Study. The Applied Computational Electromagnetics Society (ACES) Journal, 27 (2). ISSN: 1054-4887 18 El-Araby, E., Merchant, S. G., & El-Ghazawi, T. (2011). A Framework for Evaluating High-Level Design Methodologies for High-Performance Reconfigurable Computers. IEEE Transactions on Parallel and Distributed Systems, 22 (1). El-Araby, E., El-Ghazawi, T., Le Moigne, J., & Irish, R. (2009). Reconfigurable Processing for Satellite On-Board Automatic Cloud Cover Assessment (ACCA). Journal of Real-Time Image Processing (JRTIP) Journal No. 11554 , 4 (3), 245-259. doi:10.1007/s11554-008-0107-8 ISSN: 1861-8200 14 , ISSN Online 1861-8219 15 El-Araby, E., Gonzalez, I., & El-Ghazawi, T. (2009). Exploiting Partial Run-Time Reconfiguration for High-Performance Reconfigurable Computing. ACM Transactions on Reconfigurable Technology and Systems (TRETS), 1 (4), Article 21. Saha, P., El-Araby, E., Huang, M., Taher, M., Lopez-Buedo, S., El-Ghazawi, T., Shu, C., Gaj, K., Michalski, A., & Buell, D. (2008). Portable Library Development for Reconfigurable Computing Systems: A Case Study. Elsevier Parallel Computing: Systems & Applications, 34 (4+5), 245-260. ISSN: 0167-8191 19 El-Ghazawi, T., El-Araby, E., Huang, M., Gaj, K., Kindratenko, V., & Buell, D. (2008). The Promise of High-Performance Reconfigurable Computing. IEEE Computer, 41 (2), 69-76. El-Araby, E., Taher, M., Gaj, K., El-Ghazawi, T., Caliga, D., & Alexandridis, N. (2006). System-Level Parallelism and Concurrency Maximisation in Reconfigurable Computing Applications. International Journal of Embedded Systems (IJES), 2 (1/2), 62-72. Conference Proceedings Mahmud, N., & El-Araby, E. (2018). Towards Higher Scalability of Quantum Hardware Emulation using Efficient Resource Scheduling. In The 3rd IEEE International Conference on Rebooting Computing (ICRC 2018), Washington, DC, USA, November 2018 . Mahmud, N., & El-Araby, E. (2018). A Scalable High-Precision and High-Throughput Architecture for Emulation of Quantum Algorithms. In The 31st IEEE International System-on-Chip Conference (SOCC 2018), Washington, DC, USA, September 2018 . Mahmud, N., El-Araby, E., Shaw, H., & Cooper, L. (2018). Securing and auto-synchronizing communication over free-space optics using quantum key distribution and chaotic systems. In Quantum Communications and Quantum Imaging XVI, SPIE18, San Diego, CA, USA, August 2018 . El-Araby, E., & El-Ghazawi, T. (2018). Enabling Ease-of-Use for Extreme-Scale High-Performance Reconfigurable Architectures Using Hardware Virtualization. In The 2018 International Conference on High Performance Computing & Simulation (HPCS 2018), Orlans, France, July 2018 . El-Araby, E. (2018). Enabling Higher Productivity and Portability for Extremely-Heterogeneous Architectures: A High-Performance Reconfigurable Computing Case Study. In DOEs International Extreme Heterogeneity Workshop (WEH 2018), Washington DC, USA, January 2018 . (Invited) El-Araby, E., & Namazi, N. (2016). Chaotic Architectures for Secure Free-Space Optical Communication. In The 26th International Conference on Field-Programmable Logic and Applications (FPL 2016), Lausanne, Switzerland, August 2016 . Sepantaie, M., Bui, V., El-Araby, E., Sepantaie, A., Nehmetallah, G., & Namazi, N. (2015). Secure Communication Systems Using Synchronized Lorenz Strange Attractor on Reconfigurable Hardware. In Proceedings of the SPIE Defense + Security (SPIE DSS 2015), Baltimore, Maryland, USA, April 2015 . Bui, V., Tran, L., El-Araby, E., & Namazi, N. (2014). Detecting Binary Non-Return-to-Zero Data in Free-Space Optical Communication Systems using FPGAs. In Proceedings of the SPIE Defense + Security (SPIE DSS 2014), Baltimore, Maryland, USA, May 2014 . Dang, V., El-Araby, E., Dao, L. H., & Chang, L.-C. (2013). Accelerating Nonlinear Diffusion Tensor Estimation For Medical Image Processing Using High Performance GPU Clusters. In The 24th IEEE International Conference on Application-specific Systems, Architectures and Processors (ASAP 2013), Washington, DC, USA, June 2013 . Dang, V., Nguyen, Q., Kilic, O., & El-Araby, E. (2013). Fast Multipole Method for Large-Scale Electromagnetic Scattering Problems using High Performance Computers. In The Applied Computational Electromagnetics Society (ACES 2013), Monterey, CA, USA, March 2013 . Dang, V., Nguyen, Q., Kilic, O., & El-Araby, E. (2013). Single Level Fast Multipole Method on GPU Cluster for Electromagnetic Problems. In U.S. National Committee on International Union of Radio Science (USNC-URSI), Boulder, CO, USA, January 2013 . Tran, L., El-Araby, E., & Namazi, N. (2013). Prototyping FM Data Demodulation in Free-Space Optical Communication Systems using Discrete Wavelet Transformation. In Proceedings of the SPIE Optical Engineering + Applications, vol. 8874, San Diego, California, USA, August 2013 . El-Araby, E., Kilic, O., & Dang, V. (2012). Imaging Through Cluttered Media Using Electromagnetic Interferometry on a Hardware-Accelerated High-Performance Cluster. In The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC12), Salt Lake City, UT, USA, 10-16 November 2012 . Kilic, O., Smith, A., El-Araby, E., & Dang, V. (2012). Investigating Interferometric Imaging in Random Media using CUDA and Jacket Environments for GPUs. In The 9th International Applied Computational Electromagnetics Society Conference (ACES 2012), Columbus, Ohio, USA, April 2012 . Kizhner, S., Blank, K., Sichler, J. A., Le Moigne, J., El-Araby, E., & Dang, V. (2012). On Development of Hilbert-Huang Transform Data Processing Real Time System With 2-D Capabilities. In NASA/ESA Conference on Adaptive Hardware and Systems (AHS 2012), Nuremberg, Germany, June, 2012 . Aldahlawi, A., El-Araby, E., Suboh, S., & El-Ghazawi, T. (2011). Modelling the Performance of an SSD-Aware Storage System Using Least Squares Regression. In The 9th ACS/IEEE International Conference On Computer Systems And Applications (AICCSA 2011), Sharm El-Sheikh, Egypt, December 2011 . Kilic, O., El-Araby, E., & Dang, V. (2011). Hardware Accelerated Computing for Electromagnetics Applications. In International Workshop on Computational Electromagnetics (CEM11), Izmir, Turkey, August 2011 . Kilic, O., Smith, A., El-Araby, E., & Dang, V. (2011). Interferometric Imaging through Random Media using GPU. In Proceedings of The 8th International Applied Computational Electromagnetics Society Conference (ACES 2011), Williamsburg, VA, USA, March 2011 . Li, T., Narayana, V. K., El-Araby, E., & El-Ghazawi, T. (2011). GPU Resource Sharing and Virtualization on High Performance Computing Systems. In The 40th International Conference on Parallel Processing (ICPP 2011), Taipei, Taiwan, September 2011 . Smith, A., Kilic, O., Dang, V., & El-Araby, E. (2011). GPU Accelerated Interferometric Imaging Through Random Media. In U.S. National Committee of the International Union of Radio Science (USNC-URSI), University of Colorado at Boulder, USA, January 2011 . Aldahlawi, A., El-Araby, E., & El-Ghazawi, T. (2010). Improving The Performance Of An IO Intensive Workload Using Hybrid Storage System: An Empirical Study. In The IEEE International Conference on Future Information Technology (ICFIT 2010), December 2010, Changsha, China . El-Araby, E., Narayana, V. K., & El-Ghazawi, T. (2010). Space and Time Sharing of Reconfigurable Hardware for Accelerated Parallel Processing. In Proceedings of the 6th International Symposium on Applied Reconfigurable Computing (ARC 2010), Bangkok, Thailand, March 2010 . El-Araby, E., Gonzalez, I., & El-Ghazawi, T. (2008). Virtualizing and Sharing Reconfigurable Resources in High-Performance Reconfigurable Computing Systems. In Second International Workshop on High-Performance Reconfigurable Computing Technology and Applications (HPRCTA08), held in conjunction with SC08, Austin, TX, USA, November, 2008 . El-Ghazawi, T., Serres, O., Bahra, S., Huang, M., & El-Araby, E. (2008). Parallel Programming of High-Performance Reconfigurable Computing Systems with Unified Parallel C. In Reconfigurable Systems Summer Institute 2008 (RSSI'08), Urbana, Illinois, USA, 7-10 July, 2008 . Gonzalez, I., El-Araby, E., Saha, P., El-Ghazawi, T., Simmler, H., Merchant, S. G., Holland, B. M., Reardon, C., George, A. D., Lam, H., Stitt, G., Alam, N., & Smith, M. C. (2008). Classification of Application Development for FPGA-Based Systems. In National Aerospace & Electronics Conference 2008 (NAECON'08), Fairborn, Ohio, USA, 16-18 July 2008 . Huang, M., El-Araby, E., & El-Ghazawi, T. (2008). Divide-and-Conquer Approach for Designing Large-operand Functions on Reconfigurable Computers. In Reconfigurable Systems Summer Institute 2008 (RSSI'08), Urbana, Illinois, USA, 7-10 July, 2008 . Merchant, S. G., Holland, B. M., Reardon, C., George, A. D., Lam, H., Stitt, G., Smith, M. C., Alam, N., Gonzalez, I., El-Araby, E., Saha, P., El-Ghazawi, T., & Simmler, H. (2008). Strategic Challenges for Application Development Productivity in Reconfigurable Computing. In National Aerospace & Electronics Conference 2008 (NAECON'08), Fairborn, Ohio, USA, 16-18 July 2008 . Abouellail, M., El-Araby, E., Taher, M., El-Ghazawi, T., & Newby, G. B. (2007). DNA and Protein Sequence Alignment with High Performance Recofigurable Systems. In NASA/ESA Conference on Adaptive Hardware and Systems 2007 (AHS2007), August 5-8, 2007, Scotland, UK . El-Araby, E., Gonzalez, I., & El-Ghazawi, T. (2007). Bringing High-Performance Reconfigurable Computing to Exact Computations. In Proceedings of the 17th International Conference on Field Programmable Logic and Applications (FPL 2007), Amsterdam, Netherlands, 27-29 August 2007 . El-Araby, E., Gonzalez, I., & El-Ghazawi, T. (2007). Performance Bounds of Partial Run-Time Reconfiguration in High-Performance Reconfigurable Computing. In First International Workshop on High-Performance Reconfigurable Computing Technology and Applications (HPRCTA07), held in conjunction with SC07, Reno, NV, USA, November, 2007 . El-Araby, E., Nosum, P., & El-Ghazawi, T. (2007). Productivity of High-Level Languages on Reconfigurable Computers: An HPC Perspective. In IEEE International Conference on Field-Programmable Technology (FPT 2007), Japan, December, 2007 . El-Araby, E., Taher, M., Abouellail, M., El-Ghazawi, T., & Newby, G. B. (2007). Comparative Analysis of High Level Programming for Reconfigurable Computers: Methodology and Empirical Study. In III Southern Conference on Programmable Logic (SPL2007), Mar del Plata, Argentina, February, 2007 . Saha, P., El-Araby, E., Huang, M., Taher, M., El-Ghazawi, T., Shu, C., Gaj, K., Michalski, A., & Buell, D. (2007). Portable Library Development for Reconfigurable Computing Systems. In Reconfigurable Systems Summer Institute 2007 (RSSI'07), Urbana, Illinois, USA, 17-20 July, 2007 . El-Araby, E., Taher, M., El-Ghazawi, T., & Le Moigne, J. (2006). Automatic Image Registration for Remote Sensing on Reconfigurable Computers. In 2006 MAPLD International Conference, Washington, DC, USA, September, 2006 . El-Araby, E., Taher, M., El-Ghazawi, T., Youssif, A., Irish, R., & Le Moigne, J. (2006). Performance Scalability of a Remote Sensing Application on High Performance Reconfigurable Platforms. In NASA Earth-Sun System Technology Conference (ESTC 2006), Maryland, USA, June, 2006 . El-Ghazawi, T., Gaj, K., Buell, D., Saha, P., El-Araby, E., Shu, C., Huang, M., Taher, M., & Michalski, A. (2006). Libraries of Hardware Macros for Reconfigurable Computers. In 2006 MAPLD International Conference, Washington, DC, USA, September, 2006 . Gaj, K., El-Ghazawi, T., Poznanovic, D., Le, H., Saha, P., Heistand, S., Shu, C., El-Araby, E., Huang, M., Misra, D., & Gage, P. (2006). Design of Parameterizable Hardware Macros for Reconfigurable Computers. In 2006 MAPLD International Conference, Washington, DC, USA, September, 2006 . El-Araby, E., El-Ghazawi, T., & Gaj, K. (2005). A System-Level Design Methodology for Reconfigurable Computing Applications. In IEEE International Conference On Field-Programmable Technology (FPT 2005), Singapore, December, 2005 . El-Araby, E., Taher, M., El-Ghazawi, T., & Gaj, K. (2005). Implementation of Image Processing Kernels on Reconfigurable Computers: A Comparative Study between SRC and SGI Platforms. In 2005 MAPLD International Conference, Washington, DC, USA, September, 2005 . El-Araby, E., Taher, M., El-Ghazawi, T., & Le Moigne, J. (2005). An Efficient Implementation of Automatic Cloud Cover Assessment (ACCA) on a Reconfigurable Computer. In NASA Earth-Sun System Technology Conference (ESTC 2005), Maryland, USA, June, 2005 . El-Araby, E., Taher, M., El-Ghazawi, T., & Le Moigne, J. (2005). An Efficient Implementation of On-Board Cloud Detection on a Reconfigurable Computer. In International Geoscience and Remote Sensing Symposium (IEEE IGARSS 2005), Seoul, Korea, July, 2005 . El-Araby, E., Taher, M., El-Ghazawi, T., & Le Moigne, J. (2005). Prototyping Automatic Cloud Cover Assessment (ACCA) Algorithm for Remote Sensing On-Board Processing on a Reconfigurable Computer. In IEEE International Conference On Field-Programmable Technology (FPT 2005), Singapore, December, 2005 . El-Araby, E., Taher, M., El-Ghazawi, T., Abouellail, M., Sastry, N., & Gaj, K. (2005). Efficient Implementation of a String Matching Algorithm for SRC and Cray Reconfigurable Computers. In 2005 MAPLD International Conference, Washington, DC, USA, September, 2005 . El-Ghazawi, T., Gaj, K., Alexandridis, N., Michalski, A., Fidanci, D., Taher, M., El-Araby, E., & Saha, P. (2005). Novel Applications of Reconfigurability. In ACM/SIGDA Thirteenth International Symposium on Field Programmable Gate Arrays (FPGA 2005), Monterey, California, USA, February, 2005 . El-Ghazawi, T., Gaj, K., Alexandridis, N., Michalski, A., Fidanci, D., Taher, M., El-Araby, E., Chitalwala, E., & Saha, P. (2005). Reconfigurable Computers: An Empirical Analysis. In ACM/SIGDA Thirteenth International Symposium on Field Programmable Gate Arrays (FPGA 2005), Monterey, California, USA, February, 2005 . Gaj, K., El-Ghazawi, T., Gage, P., Poznanovic, D., Shu, C., Misra, D., Huang, M., El-Araby, E., & Taher, M. (2005). Development and Maintenance of User Libraries for SRC Reconfigurable Computers. In 2005 MAPLD International Conference, Washington, DC, USA, September, 2005 . Harkins, J., El-Ghazawi, T., El-Araby, E., & Huang, M. (2005). Analysis of an FPGA Based Reconfigurable Computer with Sorting Algorithms. In 2005 MAPLD International Conference, Washington, DC, USA, September, 2005 . Harkins, J., El-Ghazawi, T., El-Araby, E., & Huang, M. (2005). Performance of Sorting Algorithms on the SRC 6 Reconfigurable Computer. In IEEE International Conference On Field-Programmable Technology (FPT 2005), Singapore, December, 2005 . Taher, M., El-Araby, E., & El-Ghazawi, T. (2005). Configuration Caching in Adaptive Computing Systems Using Association Rule Mining (ARM). In Dynamic Reconfigurable Systems Workshop (DRS 2005), Innsbruck, Austria, March, 2005 . Taher, M., El-Araby, E., El-Ghazawi, T., & Gaj, K. (2005). Image Processing Library for Reconfigurable Computers. In ACM/SIGDA Thirteenth International Symposium on Field Programmable Gate Arrays (FPGA 2005), Monterey, California, USA, February, 2005 . El-Araby, E., El-Ghazawi, T., Le Moigne, J., & Gaj, K. (2004). Wavelet Spectral Dimension Reduction of Hyperspectral Imagery on a Reconfigurable Computer. In IEEE International Conference On Field-Programmable Technology (FPT 2004), Brisbane, Australia, December, 2004 . El-Araby, E., Taher, M., Gaj, K., El-Ghazawi, T., Caliga, D., & Alexandridis, N. (2004). System-Level Parallelism and Throughput Optimization in Designing Reconfigurable Computing Applications. In Reconfigurable Architecture Workshop (RAW 2004), Santa Fe, New Mexico, USA, April, 2004 . El-Araby, E., Taher, M., Gaj, K., El-Ghazawi, T., Caliga, D., & Alexandridis, N. (2003). Exploiting System-Level Parallelism In The Application Development On A Reconfigurable Computer. In IEEE International Conference On Field-Programmable Technology (FPT 2003), Tokyo, Japan, December, 2003 . Taher, M., El-Araby, E., Agarwal, A., El-Ghazawi, T., Gaj, K., Le Moigne, J., & Alexandridis, N. (2003). Effective Implementation of a Generic Wavelet Filter on a Hybrid Reconfigurable Computer. In 2003 MAPLD International Conference, Washington, DC, USA, September, 2003 . Show Selected Publications 4 Selected Presentations Invited Talks El-Araby, E. (2016, August 18). Reconfigurable/Adaptive Chaos for FSO Communication . NASA Goddard Space Flight Center (GSFC). El-Araby, E. (2016, May 18). The 3P-Challenge of Emerging Computing Technologies . 2016 Reconfigurable Electronics Working Group Meeting, Basic Research Innovation and Collaboration Center (BRICC), Air Force Office of Scientific Research (AFOSR). El-Araby, E. (2016, May 6). The 3P-Challenge of Emerging Computing Technologies . The Information Sciences Institute (ISI), Viterbi School of Engineering, University of Southern California (USC). El-Araby, E. (2014, September). The Three Ps of High-Performance Reconfigurable Computing . Presentation, Virginia Tech (VT-NVC). El-Araby, E. (2013, December). High-Performance Reconfigurable Computing: Potential and Challenges . NASA Goddard Space Flight Center (GSFC). El-Araby, E. (2011, June). Virtualizing and Sharing Resources in Hardware Accelerated High-Performance Computing: An HPRC Perspective . NASA Goddard Space Flight Center (GSFC). Selected Awards & Honors Major Research Instrumentation (MRI) research grant, National Science Foundation (NSF), USA, 2011 - 2013 Industry grants for research and instructional infrastructure (hardware boards and software packages), Xilinx and Altera, USA, 2010 - 2015 Kaman Award for Excellence in Research, The Catholic University of America (CUA), USA, 2011 - 2012 The Louis P. Wagman Fellowship, The George Washington University (GWU), USA, 2009 2008 Service Award, The George Washington University (GWU), USA, 2008 Synplicity Best Paper Award, the Designer Forum of the 3rd Southern Conference on Programmable Logic (SPL 2007), Argentina, 2007 Best Paper, Reconfigurable Architecture Workshop (RAW 2004), USA, 2004, for publication at the International Journal for Embedded Systems (IJES), 2006 EECS Application Login EECS Gradplanner Login EECS Shop Department Events Please update your browser to view the iframe content. Your browser must support JavaScript to view this content. Please enable JavaScript in your browser settings then try again. KU Today Students to present at Kansas Undergraduate Research Day at the Capitol All KU News Give to KU Why KU Apply High school seniors can apply to the SELF Program, a four-year enrichment and leadership experience Engineering students build concrete canoes, Formula race cars, unmanned planes, and rockets for competitions nationwide More first and second place awards in student AIAA aircraft design contests than any other school in the world One of 34 U.S. public institutions in the prestigious Association of American Universities 44 nationally ranked graduate programs. U.S. News & World Report Top 50 nationwide for size of library collection. ALA 5th nationwide for service to veterans "Best for Vets: Colleges," Military Times Links on this page: https://scholar.google.com/citations?user=Ajlx9soAAAAJ&hl=en http://dblp.org/pers/hd/e/El=Araby:Esam esam@ku.edu http://eecs.ku.edu/esam-el-araby#tabSummary http://eecs.ku.edu/esam-el-araby#link1 http://eecs.ku.edu/esam-el-araby#link2 http://eecs.ku.edu/esam-el-araby#link3 http://eecs.ku.edu/esam-el-araby#link5 http://link.springer.com/chapter/10.1007/978-1-4614-1791-0_24 tel:978-1-4614-1790-3 tel:978-1-4614-1791-0 tel:9781584886624 tel:1584886625 tel:1861-8200 tel:1861-8219 tel:0925-2312 tel:2010-3719 tel:1054-4887 tel:0167-8191 Contact Electrical Engineering and Computer Science eecs-info@ku.edu 785-864-4620 2001 Eaton Hall 1520 West 15th Street University of Kansas Lawrence, KS 66045-7608 Degree Accreditation Information Enrollment & Graduation Data EECS Resources News Publications Facilities Webmail Alumni Cadence Undergraduate Graduation Planner Prospective Students Disciplines Undergraduate Programs Graduate Programs Facilities Degree Accreditation Enrollment & Graduation Data Current Students New Students Undergraduate Students Graduate Students EECS Courses Facilities Faculty Documents & Forms EECS Courses Facilities Faculty & Staff Faculty Chairpersons Administrative Staff Technical Staff Research Focus Areas Reseach Centers Defense Notices Academics Accessible KU Admissions Alumni Athletics Campuses Giving Jobs Safety Contact KU Lawrence, KS | Maps The University of Kansas prohibits discrimination on the basis of race, color, ethnicity, religion, sex, national origin, age, ancestry, disability, status as a veteran, sexual orientation, marital status, parental status, gender identity, gender expression, and genetic information in the university's programs and activities. Retaliation is also prohibited by university policy. The following persons have been designated to handle inquiries regarding the nondiscrimination policies and are the Title IX coordinators for their respective campuses: Director of the Office of Institutional Opportunity & Access, IOA@ku.edu , Room 1082, Dole Human Development Center, 1000 Sunnyside Avenue, Lawrence, KS 66045, 785-864-6414, 711 TTY (for the Lawrence, Edwards, Parsons, Yoder, and Topeka campuses); Director, Equal Opportunity Office, Mail Stop 7004, 4330 Shawnee Mission Parkway, Fairway, KS 66205, 913-588-8011, 711 TTY (for the Wichita, Salina, and Kansas City, Kansas medical center campuses). diff --git a/src/data/compiled_bios/4216.txt b/src/data/compiled_bios/4216.txt new file mode 100644 index 0000000000..677709dc04 --- /dev/null +++ b/src/data/compiled_bios/4216.txt @@ -0,0 +1 @@ + Joseph B. Evans Deane E. Ackers Distinguished Professor Electrical Engineering & Computer Science The University of Kansas 2048 Eaton Hall, 1520 West 15th Street Lawrence KS 66045-7621 Information & Telecommunication Technology Center The University of Kansas 205 Nichols Hall, 2335 Irving Hill Road Lawrence, KS 66045-7559 Phone: 785-864-4830 Mobile: 785-550-0858 Email: evans @ ittc.ku.edu Note - Dr. Evans on Leave at DARPA Dr. Evans is currently on leave as a Program Manager at the Defense Advanced Reserach Projects Agency ( DARPA ), in the Strategic Technology Office . He can be contacted at joseph.evans @ darpa.mil or (571) 218-4446. His programs at DARPA include Secure Handhelds on Assured Resilient networks at the tactical Edge ( SHARE ) and Geospatial Cloud Analytics ( GCA ). General Information Office Locations at KU Schedule Other Information Research Interests National Research Policy The Computing Community Consortium Wide Area, Local Area, and Wireless Networks The SensorNet Initiative Global Environment for Network Innovations (GENI) CogNet - An Experimental Protocol Stack for Cognitive Radio Networks and Its Integration with the Future Internet Innovative Active Networking Services Rapidly Deployable Radio Networks Performance Tuning Study and Tools for Computer Systems Connected to the DREN MAGIC Gigabit Testbed ACTS ATM Internetwork Wirelesss ATM Adaptive Voice/Data Networks Adaptive Voice/Data Networks Networked Data Management and Control Systems DARPA Tactical Ground Reporting System ( TIGR ) Ambient Computational Environments ENABLE Delivery of K-12 Educational Resources via the Internet - UNITE High Performance Adaptive Processing Systems Adaptive Computing Systems FPGA Computing Systems National Science Foundation Programs Networking Technology and Systems ( NeTS ) Programmable Wireless Networking Teaching and KU Service Information EECS 888 - Internet Routing Architectures EECS 745 - Implementation of Networks EECS 546 - Integrated Circuit Design EECS 541/542 - Computer Systems Design I/II KU Task Force on Research Computing (KU Only) Commercial Interests Ascend Intelligence NetGames USA Ambient Computing Biographical Information and Resume Short Biography Publications and Citations Resume: PostScript , PDF PGP Key Other Interests Aviation Sailing Skiing Fine Music Interesting Quotes, etc. First version: 19 January 1993 Last updated: 11 October 2017 diff --git a/src/data/compiled_bios/4217.txt b/src/data/compiled_bios/4217.txt new file mode 100644 index 0000000000..1b8addab8b --- /dev/null +++ b/src/data/compiled_bios/4217.txt @@ -0,0 +1 @@ + Skip to main content The University of Kansas myKU Email Blackboard Enroll & Pay KU Directory A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All Academics Athletics Your browser must support JavaScript to view this content. 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Giving Tech Help Menu Home About Chair's Message Vision & Mission Academic Experience Prospective Students Overview Disciplines Undergraduate Programs Academic Experience Degree Requirements Scholarship & Tuition Admissions Degree Accreditation Graduate Programs Master's Program Ph.D. Programs Research Clusters Applied Electromagnetics Communications Systems Computational Science and Engineering Computer Systems Design Computing in the Biosciences Data Science and Engineering IT Project Management Languages and Semantics Network Engineering Network Systems Radar Systems and Remote Sensing RF Systems Engineering Cyber Security Signal Processing Software Engineering Theory of Computing Graduate Funding Cybersecurity Graduate Certificate Data Science and Engineering Software Engineering and Management Certificate RF Systems Engineering Graduate Certificate Facilities Current Students Overview New Students Undergraduate Graduate Undergraduate Students Graduate Students Master's Programs Ph.D. Programs Research Clusters Defense Notices Cybersecurity Graduate Certificate Data Science Graduate Certificate Software Engineering and Management Certificate RF Systems Engineering Graduate Certificate EECS Courses Facilities Research Facilities Facilities Location EECS Workstation Software Eaton Hall Map EECS Shop Faculty & Staff Faculty Chairpersons Administrative Staff Technical Staff Research Overview Research Clusters Applied Electromagnetics Communications Systems Computer Systems Design Computing in the Biosciences Intelligent Informatics Languages and Semantics Network Engineering Network Systems Radar Systems and Remote Sensing RF Systems Engineering Cyber Security Signal Processing Software Engineering Theory of Computing Defense Notices Research Facilities Alumni & Friends Advisory Board Welcome Alumni! Giving Tech Help Search Search form Search Home Shima Fardad SHIMA FARDAD Shima Fardad Assistant Professor sfardad@ku.edu 1 Primary office : Eaton 3022 University of Kansas 1520 West 15th Street Lawrence, KS 66045 Summary 2 Bio 3 Primary Research Interests Light-matter interactions in soft-matter systsems Nanophotonics, Plasmonics and Metamaterials Imaging, Microscopy and Spectroscopy Techniques EECS Application Login EECS Gradplanner Login EECS Shop Department Events Please update your browser to view the iframe content. Your browser must support JavaScript to view this content. Please enable JavaScript in your browser settings then try again. KU Today Industrial artists Drop Unit asks: What shapes us? All KU News Give to KU Why KU Apply High school seniors can apply to the SELF Program, a four-year enrichment and leadership experience Engineering students build concrete canoes, Formula race cars, unmanned planes, and rockets for competitions nationwide More first and second place awards in student AIAA aircraft design contests than any other school in the world One of 34 U.S. public institutions in the prestigious Association of American Universities 44 nationally ranked graduate programs. U.S. News & World Report Top 50 nationwide for size of library collection. ALA 5th nationwide for service to veterans "Best for Vets: Colleges," Military Times Links on this page: sfardad@ku.edu http://eecs.ku.edu/shima-fardad#tabSummary http://eecs.ku.edu/shima-fardad#link1 Contact Electrical Engineering and Computer Science eecs-info@ku.edu 785-864-4620 2001 Eaton Hall 1520 West 15th Street University of Kansas Lawrence, KS 66045-7608 Degree Accreditation Information Enrollment & Graduation Data EECS Resources News Publications Facilities Webmail Alumni Cadence Undergraduate Graduation Planner Prospective Students Disciplines Undergraduate Programs Graduate Programs Facilities Degree Accreditation Enrollment & Graduation Data Current Students New Students Undergraduate Students Graduate Students EECS Courses Facilities Faculty Documents & Forms EECS Courses Facilities Faculty & Staff Faculty Chairpersons Administrative Staff Technical Staff Research Focus Areas Reseach Centers Defense Notices Academics Accessible KU Admissions Alumni Athletics Campuses Giving Jobs Safety Contact KU Lawrence, KS | Maps The University of Kansas prohibits discrimination on the basis of race, color, ethnicity, religion, sex, national origin, age, ancestry, disability, status as a veteran, sexual orientation, marital status, parental status, gender identity, gender expression, and genetic information in the university's programs and activities. Retaliation is also prohibited by university policy. The following persons have been designated to handle inquiries regarding the nondiscrimination policies and are the Title IX coordinators for their respective campuses: Director of the Office of Institutional Opportunity & Access, IOA@ku.edu , Room 1082, Dole Human Development Center, 1000 Sunnyside Avenue, Lawrence, KS 66045, 785-864-6414, 711 TTY (for the Lawrence, Edwards, Parsons, Yoder, and Topeka campuses); Director, Equal Opportunity Office, Mail Stop 7004, 4330 Shawnee Mission Parkway, Fairway, KS 66205, 913-588-8011, 711 TTY (for the Wichita, Salina, and Kansas City, Kansas medical center campuses). diff --git a/src/data/compiled_bios/4218.txt b/src/data/compiled_bios/4218.txt new file mode 100644 index 0000000000..bb5a2941b8 --- /dev/null +++ b/src/data/compiled_bios/4218.txt @@ -0,0 +1 @@ + The Home Page of Professor Victor S. Frost Victor S. Frost Dan F. Servey Distinguished Professor and Chair Electrical Engineering & Computer Science 2001 G1 Eaton Hall The University of Kansas Lawrence, Kansas 66045 phone: (785) 864-4486 e-mail: frost@ku.edu Office Hours for Spring 2019 (2001 G1 Eaton Hall) In 2001 G1 Eaton Hall -- TBD TR Best way to contact me is by e-mail (vsfrost@ku.edu). Classes EECS 562 - Introduction to Communication Systems EECS 861 - Random Signals and Noise EECS 863 - Network Analysis, Simulation, and Measurements EECS 563 - Introduction to Communication Networks EECS 360 - Signal and System Analysis EECS 864 - Multiwavelength Optical Networks EECS 802 - EECS Colloquium and Seminar on Professional Issues EECS 766 Resource Sharing for Broadband Access Networks Resume of Victor S. Frost Resume Highlights 1998 - Fellow IEEE 1997- Present Dan F. Servey Distinguished Professor EECS, University of Kansas 2014- Present Chair EECS, University of Kansas 1984 - National Science Foundation Presidential Young Investigator Award 2014 Louise Byrd Graduate Educator Award (The award honors KU faculty members who have demonstrated extraordinary devotion to graduate students and graduate education and who have distinguished themselves as scholars.) 2012 - H.O.P.E. Award Finalist (Honor for an Outstanding Progressive Educator -- recognizes outstanding teaching and concern for students and is the only honor for teaching excellence given exclusively by seniors on the KU Lawrence campus through a ballot-and-interview process.) Feb 2009 Feb 2011 -Program Director at the National Science Foundation in CISE/CNS 2011-2014 Associate Chair for Graduate Studies EECS, University of Kansas 2000 - 2008 - Director, Information and Telecommunications Technology Center, ITTC was one of the largest research centers at the University of Kansas, with approximately 150 faculty, staff, and students, and external expenditures averaging $5.4 Million/year from FY1998-FY2007. (Acting Director, 1997 - 1999) 1987 1996 - Director, Telecommunications and Information Sciences Laboratory (TISL), University of Kansas 2008 2011 - Elected to the IEEE Communications Society Board of Governors as a Member at Large Spring 2007 - Visiting Erskine Fellow University of Canterbury, Christchurch, New Zealand July Dec. 1981 - Visiting Scientist at the German Aerospace Research Establishment (DFVLR) Institute for High Frequency, Oberpfaffenhofen, West Germany. Research Interests & Projects Communication Systems and Networks; Network Analysis, Measurement and Simulation To find my publications search the ITTC on-line publications database. Google Scholar Page Covert Communications Networking-Exploiting Adaptive Protocols in Packet-Based Broadband Wireless Networks SensorNet Quantifying the Temporal Characteristics of Congestion Events in the Internet PRISM (Polar Radar for Ice Sheet Measurements) Experiences with 4 Modem Multi-Link Iridium Satellite Data Communication System-2003 Experiences with 8 Modem Multi-Link Iridium Satellite Data Communication System-2004 TCP Performance over Multilink PPP in Wireless Networks: Theory and Field Experiences Rapidly Deployable Radio Networks ACTS ATM Internetwork MAGIC Gigabit Network ENABLE For potential students: My research agenda is to improve the understanding of communications systems and networks. Funding for GRAs to pursue that agenda depends on the success in winning highly competitive grants. Once funding for GRAs is available I look for students to support with a passion for my research agenda. So once you get to KU come see me to determine if there is a match between your interest and my research agenda. Former PhD. Students David Petr - Professor University of Kansas Qinglin Wang - Nortel William LaRue - Cadence Design System Steve Bush - GE Research Steve Oliva - Sprint Cory Beard - Associate Professor University of Missouri-Kansas City Georgios Lazarou - University of South Alabama. Towela P. R. Nyirenda-Jere - NEPAD Planning and Coordinating Agency (a technical agency of the African Union based in South Africa) Wesam Alanqar - Sprint XueJun Mao Soshant Bali - Sprint Daniel Fokum - Department of Computing at the University of the West Indies Martin Kuehnhausen - IBM Zaid Hijaz - The Aerospace Corporation Ghaith Shabsigh - Qualcomm List of Former MS Students and Research Topics Hand-book on STATISTICAL DISTRIBUTIONS for experimentalists Advice on Research and Writing How to Grade a Dissertation diff --git a/src/data/compiled_bios/4219.txt b/src/data/compiled_bios/4219.txt new file mode 100644 index 0000000000..546deef153 --- /dev/null +++ b/src/data/compiled_bios/4219.txt @@ -0,0 +1 @@ + Skip to main content The University of Kansas myKU Email Blackboard Enroll & Pay KU Directory A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All Academics Athletics Your browser must support JavaScript to view this content. Please enable JavaScript in your browser settings then try again. 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Giving Tech Help Menu Home About Chair's Message Vision & Mission Academic Experience Prospective Students Overview Disciplines Undergraduate Programs Academic Experience Degree Requirements Scholarship & Tuition Admissions Degree Accreditation Graduate Programs Master's Program Ph.D. Programs Research Clusters Applied Electromagnetics Communications Systems Computational Science and Engineering Computer Systems Design Computing in the Biosciences Data Science and Engineering IT Project Management Languages and Semantics Network Engineering Network Systems Radar Systems and Remote Sensing RF Systems Engineering Cyber Security Signal Processing Software Engineering Theory of Computing Graduate Funding Cybersecurity Graduate Certificate Data Science and Engineering Software Engineering and Management Certificate RF Systems Engineering Graduate Certificate Facilities Current Students Overview New Students Undergraduate Graduate Undergraduate Students Graduate Students Master's Programs Ph.D. Programs Research Clusters Defense Notices Cybersecurity Graduate Certificate Data Science Graduate Certificate Software Engineering and Management Certificate RF Systems Engineering Graduate Certificate EECS Courses Facilities Research Facilities Facilities Location EECS Workstation Software Eaton Hall Map EECS Shop Faculty & Staff Faculty Chairpersons Administrative Staff Technical Staff Research Overview Research Clusters Applied Electromagnetics Communications Systems Computer Systems Design Computing in the Biosciences Intelligent Informatics Languages and Semantics Network Engineering Network Systems Radar Systems and Remote Sensing RF Systems Engineering Cyber Security Signal Processing Software Engineering Theory of Computing Defense Notices Research Facilities Alumni & Friends Advisory Board Welcome Alumni! Giving Tech Help Search Search form Search Home John Gibbons JOHN GIBBONS Download J. Gibbons' vCard 1 Visit J. Gibbons' Website 2 John Gibbons Lecturer jwgibbo@ku.edu 3 Primary office : 785-864-0221 3042 Eaton Hall Summary 4 Bio 5 Primary Research Interests Social Networks Content Lifespan Online Content Distribution EECS Application Login EECS Gradplanner Login EECS Shop Department Events Please update your browser to view the iframe content. Your browser must support JavaScript to view this content. Please enable JavaScript in your browser settings then try again. KU Today Students to present at Kansas Undergraduate Research Day at the Capitol All KU News Give to KU Why KU Apply High school seniors can apply to the SELF Program, a four-year enrichment and leadership experience Engineering students build concrete canoes, Formula race cars, unmanned planes, and rockets for competitions nationwide More first and second place awards in student AIAA aircraft design contests than any other school in the world One of 34 U.S. public institutions in the prestigious Association of American Universities 44 nationally ranked graduate programs. U.S. News & World Report Top 50 nationwide for size of library collection. ALA 5th nationwide for service to veterans "Best for Vets: Colleges," Military Times Links on this page: http://eecs.ku.edu/people/vcard/jgibbons.vcf http://people.eecs.ku.edu/ jwgibbo@ku.edu http://eecs.ku.edu/john-gibbons#tabSummary http://eecs.ku.edu/john-gibbons#link1 Contact Electrical Engineering and Computer Science eecs-info@ku.edu 785-864-4620 2001 Eaton Hall 1520 West 15th Street University of Kansas Lawrence, KS 66045-7608 Degree Accreditation Information Enrollment & Graduation Data EECS Resources News Publications Facilities Webmail Alumni Cadence Undergraduate Graduation Planner Prospective Students Disciplines Undergraduate Programs Graduate Programs Facilities Degree Accreditation Enrollment & Graduation Data Current Students New Students Undergraduate Students Graduate Students EECS Courses Facilities Faculty Documents & Forms EECS Courses Facilities Faculty & Staff Faculty Chairpersons Administrative Staff Technical Staff Research Focus Areas Reseach Centers Defense Notices Academics Accessible KU Admissions Alumni Athletics Campuses Giving Jobs Safety Contact KU Lawrence, KS | Maps The University of Kansas prohibits discrimination on the basis of race, color, ethnicity, religion, sex, national origin, age, ancestry, disability, status as a veteran, sexual orientation, marital status, parental status, gender identity, gender expression, and genetic information in the university's programs and activities. Retaliation is also prohibited by university policy. The following persons have been designated to handle inquiries regarding the nondiscrimination policies and are the Title IX coordinators for their respective campuses: Director of the Office of Institutional Opportunity & Access, IOA@ku.edu , Room 1082, Dole Human Development Center, 1000 Sunnyside Avenue, Lawrence, KS 66045, 785-864-6414, 711 TTY (for the Lawrence, Edwards, Parsons, Yoder, and Topeka campuses); Director, Equal Opportunity Office, Mail Stop 7004, 4330 Shawnee Mission Parkway, Fairway, KS 66205, 913-588-8011, 711 TTY (for the Wichita, Salina, and Kansas City, Kansas medical center campuses). diff --git a/src/data/compiled_bios/422.txt b/src/data/compiled_bios/422.txt new file mode 100644 index 0000000000..ba37b8c258 --- /dev/null +++ b/src/data/compiled_bios/422.txt @@ -0,0 +1 @@ +CHAM, Tat Jen BA PhD Cambridge Associate Professor School of Computer Science & Engineering Nanyang Technological University Singapore Biographical Sketch Tat-Jen is an Associate Professor in the School of Computer Science & Engineering, Nanyang Technological University. He received his BA in Engineering in 1993 and his PhD in 1996, both from the University of Cambridge. Tat-Jen was subsequently conferred a Jesus College Research Fellowship in Science in 1996-97. From 1998 to 2001, he was a research scientist at DEC/Compaq Research Lab in Cambridge, MA, USA. After joining NTU in 2002, he was concurrently a Faculty Fellow in the Singapore-MIT Alliance Computer Science Program in 2003-2006. In research., Tat-Jen received overall best paper prizes at PROCAMS05, BMVC94, and in particular at ECCV'96, while his PhD student Minh-Tri Pham was awarded the PREMIA 2nd best student paper prize for their ICCV'2007 paper. Tat-Jen is an inventor on eight patents. He is currently a co-Principal Investigator in the NRF BeingTogether Centre (BTC) on 3D Telepresence, a collaboration between NTU and UNC at Chapel Hill. Tat-Jen is on the editorial board for the International Journal of Computer Vision (IJCV). He has been a General Chair for ACCV14, Area Chair for ICCV'09, ACCV07, ICCV05 and ACCV06, Associate Editor for IJIG and IPSJ-CVA, a Program Chair for MMM07, and a co-founder for the PROCAMS workshop series in 2003. Nationally, he has been on various review panels for A*STAR and the National Research Foundation (NRF). Tat-Jen has served for a number of terms on the NTU Senate, and previous roles held include being the Director for the Centre for Multimedia & Network Technology (CeMNet) and an affiliate faculty with the Singapore-ETH Centres Future Cities Lab. Tat-Jens research interests are broadly in computer vision and machine learning. Currently, his BTC team has focused on high-fidelity 3D dynamic reconstruction of humans and room environments with casually placed sensors, via deep learning approaches for semantic understanding to enable accurate reconstruction in the presence of clutter, occlusion and limited sensor coverage. His previous work includes image-based localization in urban environments, object matching and registration, human tracking, activity recognition, as well as projector-camera systems to turn all surfaces into ubiquitous interactive displays. Concurrent and Past Appointments 2001-, Associate Professor, School of Computer Science & Engineering, NTU 2018-, 2010-14, Senator, NTU Senate 2007-15, Director, Centre for Multimedia & Network Technology (CeMNet) 2003-06, Singapore-MIT Alliance Fellow in Computer Science 2005-16, Part-time national service, infantry / civil-military relations officer, Singapore Armed Forces 1998-2001, Research Scientist, DEC / Compaq Cambridge Research Laboratory, Cambridge MA, USA 1996-97, Jesus College Research Fellow in Science, University of Cambridge, England 1987-90, Full-time national service: infantry / logistics officer, Singapore Armed Forces Education 1994-96, Ph.D degree, St Catharine's College, University of Cambridge, England 1990-93, B.A. degree in Engineering, triple first-class honours , St Catharine's College, University of Cambridge, England Awards and Scholarships 2014, MMSP Top 10% Paper Award 2007 (with PhD student Minh-Tri Pham), PREMIA 2nd Best Student Paper Prize for ICCV'07 paper 2005, Best Paper Award, IEEE International Workshop on Projector-Camera Systems (PROCAMS) 1996, Best Paper Prize, European Conference on Computer Vision (ECCV) 1994, Best Science Paper Prize, British Machine Vision Conference (BMVC) 1994-96, UK Overseas Research Scholarship, Cambridge Commonwealth Trust Bursary, St Catharine's College Research Scholarship (all awarded concurrently) 1993, Alexandria Prize, St Catharine's College Senior Scholarship 1991, Engineering Members' Prize 1990-94, Loke Cheng-Kim Foundation Scholarship Selected Professional Activities 2004-, Member of Editorial Board, International Journal of Computer Vision (IJCV), Kluwer publishers General Chair, Asian Conference on Computer Vision (ACCV), Singapore, 2014 Area Chair, International Conference on Computer Vision (ICCV), Kyoto, Japan, 2009 Area Chair, Asian Conference on Computer Vision (ACCV), Tokyo, Japan, 2007 Area Chair, Asian Conference on Computer Vision (ACCV), Hyderabad, India, 2006 Area Chair, International Conference on Computer Vision (ICCV), Beijing, China, 2005 Associate Editor, International Journal of Image and Graphics (IJIG), World Scientific, 2005 Associate Editor, IPSJ Transactions on Computer Vision and Applications (CVA), 2008 Recent and Selected Papers Chuanxia Zheng, Tat-Jen Cham, Jianfei Cai , T2Net: Synthetic-to-realistic translation for solving single-image depth estimation tasks. ECCV , 2018 Di Xu, Qi Duan , Jianmin Zheng, Juyong Zhang, Jianfei Cai, Tat-Jen Cham, Shading-based surface detail recovery under general unknown illumination. IEEE TPAMI , 40(2): 423-436, 2018 Anran Wang, Jianfei Cai, Jiwen Lu, Tat-Jen Cham, Structure-aware multimodal feature fusion for RGB-D scene classification and beyond. ACM TOMM , 14(2s): 39:1-39:22, 2018 Xinxing Xia, Yunqing Guan, Andrei State, Tat-Jen Cham, Henry Fuchs, Towards efficient 3D calibration for different types of multi-view autostereoscopic 3D displays. CGI , 2018 Teng Deng, Jianfei Cai, Tat-Jen Cham, Jianmin Zheng, Multiple consumer-grade depth camera registration using everyday objects. Image & Vision Computing , 62: 1-7, 2017 Lu Sheng, Jianfei Cai , Tat-Jen Cham, Vladimir Pavlovic, King Ngi Ngan , A generative model for depth-based robust 3D facial pose tracking. CVPR , 2017 Fuwen Tan, Chi-Wing Fu, Teng Deng, Jianfei Cai, Tat-Jen Cham, FaceCollage : a rapidly deployable system for real-time head reconstruction for on-the-go 3D telepresence. ACM Multimedia , 2017 Anran Wang, Jianfei Cai, Jiwen Lu, Tat-Jen Cham, Modality and component aware feature fusion for RGB-D scene classification, CVPR , 2016 Anran Wang, Jiwen Lu, Jianfei Cai, Gang Wang, Tat-Jen Cham, Unsupervised joint feature learning and encoding for RGB-D scene labeling, IEEE TIP , 24(11): 4459-4473, 2015 Chongyu Chen, Jianfei Cai, Jianmin Zheng, Tat-Jen Cham, Guangming Shi, Kinect depth recovery using a color-guided, region-adaptive, and depth-selective framework. ACM TIST , 6(2): 12:1-12:19, 2015 Marcus Chen, Ivor W. Tsang, Mingkui Tan, Tat-Jen Cham, A unified feature selection framework for graph embedding on high dimensional data. IEEE TKDE , 27(6): 1465-1477, 2015 Anran Wang, Jiwen Lu, Jianfei Cai , Tat-Jen Cham, Gang Wang, Large-margin multi-modal deep learning for RGB-D object recognition. IEEE TMM , 17(11): 1887-1898, 2015 Anran Wang, Jianfei Cai , Jiwen Lu, Tat-Jen Cham, MMSS: Multi-modal sharable and specific feature learning for RGB-D object recognition. ICCV , 2015 Di Xu, Qi Duan , Jianming Zheng, Juyong Zhang, Jianfei Cai, Tat-Jen Cham. Recovering surface details under general unknown illumination using shading and coarse multi-view stereo. CVPR , 2014 Anran Wang, Jiwen Lu, Gang Wang, Jianfei Cai, Tat-Jen Cham, Multi-modal unsupervised feature learning for RGB-D scene labeling. ECCV , 2014 Anran Wang, Jiwen Lu, Jianfei Cai , Gang Wang, Tat-Jen Cham, Estimating spatial layout of rooms from RGB-D videos. MMSP , 2014. Top 10% paper . Cdric Fleury, Tiberiu Popa, Tat-Jen Cham, Henry Fuchs, Merging live and pre-captured data to support full 3D head reconstruction for telepresence. Eurographics (Short Papers), 2014 Yi Huang, Dong Xu, Tat-Jen Cham, Face and human gait recognition using image-to-class distance. IEEE T-CSVT , 2010 Dong Xu, Tat-Jen Cham, Shuicheng Yan, Lixin Duan , Shih-Fu Chang, Near duplicate identification with spatially aligned pyramid matching. IEEE T-CSVT , 2010 Tat-Jen Cham, Arridhana Ciptadi , Wei- Chian Tan, Minh-Tri Pham, Liang-Tien Chia, Estimating camera pose from a single urban ground-view omnidirectional image and a 2D building outline map. CVPR , 2010. CVPR oral paper . Minh-Tri Pham, Yang Gao, Viet-Dung Hoang, Tat-Jen Cham, Fast polygonal integration and its application in extending Haar -like features to improve object detection. CVPR , 2010 Minh-Tri Pham, V-D. D. Hoang, Tat-Jen Cham, Detection with multi-exit asymmetric boosting. CVPR , 2008 Dong Xu, Tat-Jen Cham, Shuicheng Yan, Shih-Fu Chang, Near duplicate image identification with patially aligned pyramid matching, CVPR , 2008 Minh-Tri Pham, Tat-Jen Cham, Fast training and selection of Haar features using statistics in boosting-based face detection. ICCV , 2007. ICCV oral paper . PREMIER 2 nd best student paper prize (among all Singapore research papers in field of pattern recognition). Minh-Tri Pham, Tat-Jen Cham, Online learning asymmetric boosted classifiers for object detection. CVPR , 2007. CVPR oral paper . Michael S. Brown, Peng Song, Tat-Jen Cham, Image pre-conditioning for out-of-focus projector blur. CVPR , 2006. Peng Song, Tat-Jen Cham, A theory for photometric self-calibration of multiple overlapping projectors and cameras. PROCAMS , 2005. Best paper prize . Xi Chen, Tat-Jen Cham, Learning feature distance measures for image correspondences. CVPR , 2005. Tat-Jen Cham, James M. Rehg, Rahul Sukthankar, Gita Sukthankar, Shadow elimination and occluder light suppression for multi-projector displays. CVPR , 2003. David E. DiFranco , Tat-Jen Cham, James M. Rehg, Reconstruction of 3-D figure motion from 2-D correspondences. CVPR , 2001. CVPR oral paper . Rahul Sukthankar, Tat-Jen Cham, Gita Sukthankar, Dynamic shadow elimination for multi-projector displays. CVPR , 2001. Tat-Jen Cham, Roberto Cipolla, Automated b-spline curve representation incorporating MDL and error-minimizing control point insertion strategies, IEEE TPAMI , 21(1): 49-53, 1999 Tat-Jen Cham, James M. Rehg, A multiple hypothesis approach to figure tracking. CVPR , 1999. CVPR oral paper . Tat-Jen Cham, James M. Rehg, Dynamic feature ordering for efficient registration. ICCV , 1999. ICCV oral paper . Vladimir Pavlovic, James M. Rehg, Tat-Jen Cham, Kevin P. Murphy, A dynamic Bayesian network approach to figure tracking using learned dynamic models. ICCV , 1999. ICCV oral paper . Tat-Jen Cham, Roberto Cipolla, A statistical framework for long-range feature matching in uncalibrated image mosaicing . CVPR , 1998. Tat-Jen Cham, Roberto Cipolla, Stereo coupled active contours. CVPR , 1997. CVPR oral paper . Tat-Jen Cham, Roberto Cipolla, Geometric saliency of curve correspondances and grouping of symmetric contours, ECCV , 1996. ECCV best paper prize . Tat-Jen Cham, Roberto Cipolla, Skewed symmetry detection through local skewed symmetries. BMVC , 1994. BMVC best science paper prize . Miscellaneous 2010, World's fastest software-based face detector, released by Minh-Tri Pham. Ran 3-4 times faster than the OpenCV implementation. Available here . Jointly-taught SMA graduate module resulted in game-related student projects that received substantial media coverage from Channel News Asia, Lianhe Zaobao and Tamil Murasu , 2004. diff --git a/src/data/compiled_bios/4220.txt b/src/data/compiled_bios/4220.txt new file mode 100644 index 0000000000..087ab49b53 --- /dev/null +++ b/src/data/compiled_bios/4220.txt @@ -0,0 +1 @@ + Error #404 - Page Not Found This error means that a request for a URL has been made but no such resource is present. Go Back Copyright 2006 University of Kansas, KU Center for Research diff --git a/src/data/compiled_bios/4221.txt b/src/data/compiled_bios/4221.txt new file mode 100644 index 0000000000..e8ecba54a2 --- /dev/null +++ b/src/data/compiled_bios/4221.txt @@ -0,0 +1 @@ + Jerzy W. Grzymala-Busse Professor, University of Kansas Department of Electrical Engineering and Computer Science 3014 Eaton Hall 1520 W. 15th St., #2001 Lawrence, KS 66045 - 7621 Telephone: (785) 864-4488 FAX: (785) 864-3226 E-Mail: jerzy@ku.edu Research Current Research Interests: Data mining, knowledge discovery, machine learning, expert systems, reasoning under uncertainty, rough set theory. Data mining system LERS Rule Induction Algorithm LEM2 PDF format Additional Joint Research with Students - Selected Topics: Classification systems Discretization methods Missing attribute values Rough set theory and Dempster-Shafer theory Comparative studies Reduction of input data Curriculum Vitae PDF format Teaching EECS 510, Spring 2019 EECS 638, Spring 2017 EECS 645, Fall 2014 EECS 690, Fall 2017 EECS 837, Fall 2018 EECS 839, Spring 2019 diff --git a/src/data/compiled_bios/4222.txt b/src/data/compiled_bios/4222.txt new file mode 100644 index 0000000000..f4d5fd9a7d --- /dev/null +++ b/src/data/compiled_bios/4222.txt @@ -0,0 +1 @@ + Steven Haenchen Consulting Homepage Contact Home Scholarship What's Up Contact Us About Us Notices Please login to obtain personalized notices. Login Login Type: Select Login Type . . . . . Guest 1. Guest Client 2. Client Employee 3. Employee System Admin 4. 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Giving Tech Help Menu Home About Chair's Message Vision & Mission Academic Experience Prospective Students Overview Disciplines Undergraduate Programs Academic Experience Degree Requirements Scholarship & Tuition Admissions Degree Accreditation Graduate Programs Master's Program Ph.D. Programs Research Clusters Applied Electromagnetics Communications Systems Computational Science and Engineering Computer Systems Design Computing in the Biosciences Data Science and Engineering IT Project Management Languages and Semantics Network Engineering Network Systems Radar Systems and Remote Sensing RF Systems Engineering Cyber Security Signal Processing Software Engineering Theory of Computing Graduate Funding Cybersecurity Graduate Certificate Data Science and Engineering Software Engineering and Management Certificate RF Systems Engineering Graduate Certificate Facilities Current Students Overview New Students Undergraduate Graduate Undergraduate Students Graduate Students Master's Programs Ph.D. Programs Research Clusters Defense Notices Cybersecurity Graduate Certificate Data Science Graduate Certificate Software Engineering and Management Certificate RF Systems Engineering Graduate Certificate EECS Courses Facilities Research Facilities Facilities Location EECS Workstation Software Eaton Hall Map EECS Shop Faculty & Staff Faculty Chairpersons Administrative Staff Technical Staff Research Overview Research Clusters Applied Electromagnetics Communications Systems Computer Systems Design Computing in the Biosciences Intelligent Informatics Languages and Semantics Network Engineering Network Systems Radar Systems and Remote Sensing RF Systems Engineering Cyber Security Signal Processing Software Engineering Theory of Computing Defense Notices Research Facilities Alumni & Friends Advisory Board Welcome Alumni! Giving Tech Help Search Search form Search Home Morteza Hashemi MORTEZA HASHEMI Morteza Hashemi Assistant Professor mhashemi@ku.edu 1 Primary office : 2005C Eaton University of Kansas 1520 West 15th Street Lawrence, KS 66045 Summary 2 Bio 3 Primary Research Interests Data networks Wireless communications mmWave Systems Cloud computing Internet of Things (IOT) Learning Theory and Control EECS Application Login EECS Gradplanner Login EECS Shop Department Events Please update your browser to view the iframe content. Your browser must support JavaScript to view this content. Please enable JavaScript in your browser settings then try again. KU Today 'For the People' exhibition to open in the Haricombe Gallery Feb. 19 All KU News Give to KU Why KU Apply High school seniors can apply to the SELF Program, a four-year enrichment and leadership experience Engineering students build concrete canoes, Formula race cars, unmanned planes, and rockets for competitions nationwide More first and second place awards in student AIAA aircraft design contests than any other school in the world One of 34 U.S. public institutions in the prestigious Association of American Universities 44 nationally ranked graduate programs. U.S. News & World Report Top 50 nationwide for size of library collection. ALA 5th nationwide for service to veterans "Best for Vets: Colleges," Military Times Links on this page: mhashemi@ku.edu http://eecs.ku.edu/morteza-hashemi#tabSummary http://eecs.ku.edu/morteza-hashemi#link1 Contact Electrical Engineering and Computer Science eecs-info@ku.edu 785-864-4620 2001 Eaton Hall 1520 West 15th Street University of Kansas Lawrence, KS 66045-7608 Degree Accreditation Information Enrollment & Graduation Data EECS Resources News Publications Facilities Webmail Alumni Cadence Undergraduate Graduation Planner Prospective Students Disciplines Undergraduate Programs Graduate Programs Facilities Degree Accreditation Enrollment & Graduation Data Current Students New Students Undergraduate Students Graduate Students EECS Courses Facilities Faculty Documents & Forms EECS Courses Facilities Faculty & Staff Faculty Chairpersons Administrative Staff Technical Staff Research Focus Areas Reseach Centers Defense Notices Academics Accessible KU Admissions Alumni Athletics Campuses Giving Jobs Safety Contact KU Lawrence, KS | Maps The University of Kansas prohibits discrimination on the basis of race, color, ethnicity, religion, sex, national origin, age, ancestry, disability, status as a veteran, sexual orientation, marital status, parental status, gender identity, gender expression, and genetic information in the university's programs and activities. Retaliation is also prohibited by university policy. The following persons have been designated to handle inquiries regarding the nondiscrimination policies and are the Title IX coordinators for their respective campuses: Director of the Office of Institutional Opportunity & Access, IOA@ku.edu , Room 1082, Dole Human Development Center, 1000 Sunnyside Avenue, Lawrence, KS 66045, 785-864-6414, 711 TTY (for the Lawrence, Edwards, Parsons, Yoder, and Topeka campuses); Director, Equal Opportunity Office, Mail Stop 7004, 4330 Shawnee Mission Parkway, Fairway, KS 66205, 913-588-8011, 711 TTY (for the Wichita, Salina, and Kansas City, Kansas medical center campuses). diff --git a/src/data/compiled_bios/4224.txt b/src/data/compiled_bios/4224.txt new file mode 100644 index 0000000000..21c7f607cf --- /dev/null +++ b/src/data/compiled_bios/4224.txt @@ -0,0 +1 @@ + Dr. Rongqing Hui Professor, Electrical Engineering & Computer Science, The University of Kansas , Lawrence , KS 66045 3026 Eaton Hall Telephone: (785) 864-7740 (West Campus), (785) 864-8814 (East Campus) FAX: (785) 864-4971, Email: rhui@ku.edu Education Ph.D., Electrical Engineering , 1993, Politecnico di Torino , Torino , Italy M.S, Electrical Engineering , 1988, Beijing Univ. of Posts & Telecomm . , China B.S, Electrical Engineering , 1982, Beijing Univ. of Posts & Telecomm . , China Academic Positions 2007 - The University of Kansas , Lawrence , KS . Professor , Electrical Engineering and Computer Science 04/06 12/07 Program Director, National Science Foundation, Arlington , VA. EPDT Program : Electronics, Photonics and Devices Technologies 2002 -2007 The University of Kansas , Lawrence , KS . Associate Professor , Electrical Engineering and Computer Science 1997- 2002 The University of Kansas , Lawrence , KS . Assistant Professor , Electrical Engineering and Computer Science 1982- 1985 Anhui University , Hefei , China , Assistant Lecture , Department of Physics. Industrial Experience Fall 2004 Center for Bio/Molecular Science , US Naval Research Laboratory, Washington DC . Sabbatical Leave . Research areas: Photonic bio-sensors, flow Cytometer 1994 1997 Bell-Northern Research (now part of Nortel networks), Ottawa , Canada . Member of Scientific Staff . Research areas: high speed optical systems R&D, WDM optical networks and optical amplifiers. 1990-1991 Italian Telecommunication Research Center ( CSELT ), Torino , Italy . Engineer. Research areas: polarization insensitive coherent optical transmission system. 1989-1990 Fondazione Ugo Bordoni, Rome , Italy (a research institute of Italian Post & Telecommunication Ministry). Research Fellow. Research areas: nonlinear effect in semiconductor laser devices such as four-wave mixing, bistability and injection locking. Research Interests NOVEL PHOTONIC DEVICES Semiconductor lasers, optical amplifiers, optical switches, short optical pulse generation, new materials Optical communication Systems fiber-optic systems, wavelength division multiplexing, nonlinear phenomenon in optical fiber, bandwidth efficient modulation formats, polarization effects, system performance evaluation, system topology OPTICAL/RF MEASUREMENT AND BIOSENSORS In-service monitoring of optical system performance, multiphoton bioimaging, ultrafast fiber-optics Societies and services Associate Editor , IEEE Journal of Quantum Electronics (2006 2013) Associate Editor , IEEE Transactions on Communications (2001 2007) Technical committee member of Optical Fiber Communications Conference (OFC 04, 05, 06, 07), Senior Member , Institute of Electrical and Electronics Engineers (IEEE) University Service and Award Winner of Miller Award for Distinguished Research, The University of Kansas, 2002 Winner of Bellow Scholar Award for Distinguished Research, The University of Kansas , 2012 Book: Fiber Optic Measurement Techniques , by Rongqing Hui and Maurice OSullivan, Academic Press , 2009, ( ISBN-978-0-12-373865-3 ) Publications Patents Google scholar link: http://scholar.google.com/citations?user=c273BNoAAAAJ&hl=en Job Opening: Looking for qualified PhD student working on fiber-optic communication systems, especially using DSP based on FPGA Spring 2019 classes EECS 512: Microelectronic Circuit III EECS 628: Fiber-optic Communications diff --git a/src/data/compiled_bios/4225.txt b/src/data/compiled_bios/4225.txt new file mode 100644 index 0000000000..817ca996da --- /dev/null +++ b/src/data/compiled_bios/4225.txt @@ -0,0 +1 @@ + David O. Johnson Lecturer Electrical Engineering & Computer Science 2005D Eaton Hall The University of Kansas Lawrence, Kansas 66045 e-mail: davidojohnson@ku.edu Curriculum Vitae of David O. Johnson Google Scholar Page for David O. Johnson Capstone Projects 2018-2019 Capstone Projects 2017-2018 diff --git a/src/data/compiled_bios/4226.txt b/src/data/compiled_bios/4226.txt new file mode 100644 index 0000000000..ff4bce37cb --- /dev/null +++ b/src/data/compiled_bios/4226.txt @@ -0,0 +1 @@ + Skip to main content The University of Kansas myKU Email Blackboard Enroll & Pay KU Directory A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All Academics Athletics Your browser must support JavaScript to view this content. Please enable JavaScript in your browser settings then try again. Your browser must support JavaScript to view this content. Please enable JavaScript in your browser settings then try again. Your browser must support JavaScript to view this content. 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Campus Map | Directions | Campuses | Buses | Parking Information Technology | Jobs at KU Finances Tuition | Bill Payments | Scholarship Search Financial Aid | Loans | Beak 'em Bucks Search all KU People Search Library Search Libraries | Hours & locations | Ask Advising | Catalog | Tutors Writing Center | Math help room Finals Schedule | GPA Calculator CMS Login : KU Users | Non-KU Users KU Home About KU Admissions Athletics Alumni Campuses Social Media Endowment KU Today Electrical Engineering and Computer Science School of Engineering Search form Search Home About Chair's Message Vision & Mission Academic Experience Prospective Students Overview Disciplines Undergraduate Programs Academic Experience Degree Requirements Scholarship & Tuition Admissions Degree Accreditation Graduate Programs Master's Program Ph.D. Programs Research Clusters Applied Electromagnetics Communications Systems Computational Science and Engineering Computer Systems Design Computing in the Biosciences Data Science and Engineering IT Project Management Languages and Semantics Network Engineering Network Systems Radar Systems and Remote Sensing RF Systems Engineering Cyber Security Signal Processing Software Engineering Theory of Computing Graduate Funding Cybersecurity Graduate Certificate Data Science and Engineering Software Engineering and Management Certificate RF Systems Engineering Graduate Certificate Facilities Current Students Overview New Students Undergraduate Graduate Undergraduate Students Graduate Students Master's Programs Ph.D. Programs Research Clusters Defense Notices Cybersecurity Graduate Certificate Data Science Graduate Certificate Software Engineering and Management Certificate RF Systems Engineering Graduate Certificate EECS Courses Facilities Research Facilities Facilities Location EECS Workstation Software Eaton Hall Map EECS Shop Faculty & Staff Faculty Chairpersons Administrative Staff Technical Staff Research Overview Research Clusters Applied Electromagnetics Communications Systems Computer Systems Design Computing in the Biosciences Intelligent Informatics Languages and Semantics Network Engineering Network Systems Radar Systems and Remote Sensing RF Systems Engineering Cyber Security Signal Processing Software Engineering Theory of Computing Defense Notices Research Facilities Alumni & Friends Advisory Board Welcome Alumni! Giving Tech Help Menu Home About Chair's Message Vision & Mission Academic Experience Prospective Students Overview Disciplines Undergraduate Programs Academic Experience Degree Requirements Scholarship & Tuition Admissions Degree Accreditation Graduate Programs Master's Program Ph.D. Programs Research Clusters Applied Electromagnetics Communications Systems Computational Science and Engineering Computer Systems Design Computing in the Biosciences Data Science and Engineering IT Project Management Languages and Semantics Network Engineering Network Systems Radar Systems and Remote Sensing RF Systems Engineering Cyber Security Signal Processing Software Engineering Theory of Computing Graduate Funding Cybersecurity Graduate Certificate Data Science and Engineering Software Engineering and Management Certificate RF Systems Engineering Graduate Certificate Facilities Current Students Overview New Students Undergraduate Graduate Undergraduate Students Graduate Students Master's Programs Ph.D. Programs Research Clusters Defense Notices Cybersecurity Graduate Certificate Data Science Graduate Certificate Software Engineering and Management Certificate RF Systems Engineering Graduate Certificate EECS Courses Facilities Research Facilities Facilities Location EECS Workstation Software Eaton Hall Map EECS Shop Faculty & Staff Faculty Chairpersons Administrative Staff Technical Staff Research Overview Research Clusters Applied Electromagnetics Communications Systems Computer Systems Design Computing in the Biosciences Intelligent Informatics Languages and Semantics Network Engineering Network Systems Radar Systems and Remote Sensing RF Systems Engineering Cyber Security Signal Processing Software Engineering Theory of Computing Defense Notices Research Facilities Alumni & Friends Advisory Board Welcome Alumni! Giving Tech Help Search Search form Search Home Tim Johnson TIM JOHNSON Download T. Johnson's vCard 1 Visit T. Johnson's Website 2 Tim Johnson Professor of Practice johnson@ku.edu 3 Primary office : 913-897-8666 BEST 250C Summary 4 Bio 5 Please see: Tim's BSIT courses 6 , for information related to recent classes taught. Professor Johnson is a Professor of Practice in the Department of Electrical Engineering and Computer Science at the University of Kansas and is passionate about information technology (IT) education. Tim has over twenty years of industry and university experience providing executive and technical leadership focused on business strategies and the development of software and information technologies IT. Tim's industry experiences include helping to establish several new tech-based companies, as well as working for small and large corporations. He is past Vice President of Innovation and Technology for The IDEA Center, Inc. In addition, he served as the Executive Director for the Information and Telecommunication Technology Center (ITTC) at The University of Kansas working with industry and leading the technology commercialization efforts of the Center. Tims executive leadership experience includes many executive and board level positions in higher education, hi-tech companies, and IT focused professional organizations. Tim completed a MS degree in Electrical Engineering from Kansas State University. EECS Application Login EECS Gradplanner Login EECS Shop Department Events Please update your browser to view the iframe content. Your browser must support JavaScript to view this content. Please enable JavaScript in your browser settings then try again. KU Today 'For the People' exhibition to open in the Haricombe Gallery Feb. 19 All KU News Give to KU Why KU Apply High school seniors can apply to the SELF Program, a four-year enrichment and leadership experience Engineering students build concrete canoes, Formula race cars, unmanned planes, and rockets for competitions nationwide More first and second place awards in student AIAA aircraft design contests than any other school in the world One of 34 U.S. public institutions in the prestigious Association of American Universities 44 nationally ranked graduate programs. U.S. News & World Report Top 50 nationwide for size of library collection. ALA 5th nationwide for service to veterans "Best for Vets: Colleges," Military Times Links on this page: http://eecs.ku.edu/people/vcard/johnson.vcf http://eecs.ku.edu/people/faculty/johnson johnson@ku.edu http://eecs.ku.edu/tim-johnson#tabSummary http://eecs.ku.edu/tim-johnson#link1 http://people.eecs.ku.edu/~johnson/ Contact Electrical Engineering and Computer Science eecs-info@ku.edu 785-864-4620 2001 Eaton Hall 1520 West 15th Street University of Kansas Lawrence, KS 66045-7608 Degree Accreditation Information Enrollment & Graduation Data EECS Resources News Publications Facilities Webmail Alumni Cadence Undergraduate Graduation Planner Prospective Students Disciplines Undergraduate Programs Graduate Programs Facilities Degree Accreditation Enrollment & Graduation Data Current Students New Students Undergraduate Students Graduate Students EECS Courses Facilities Faculty Documents & Forms EECS Courses Facilities Faculty & Staff Faculty Chairpersons Administrative Staff Technical Staff Research Focus Areas Reseach Centers Defense Notices Academics Accessible KU Admissions Alumni Athletics Campuses Giving Jobs Safety Contact KU Lawrence, KS | Maps The University of Kansas prohibits discrimination on the basis of race, color, ethnicity, religion, sex, national origin, age, ancestry, disability, status as a veteran, sexual orientation, marital status, parental status, gender identity, gender expression, and genetic information in the university's programs and activities. Retaliation is also prohibited by university policy. The following persons have been designated to handle inquiries regarding the nondiscrimination policies and are the Title IX coordinators for their respective campuses: Director of the Office of Institutional Opportunity & Access, IOA@ku.edu , Room 1082, Dole Human Development Center, 1000 Sunnyside Avenue, Lawrence, KS 66045, 785-864-6414, 711 TTY (for the Lawrence, Edwards, Parsons, Yoder, and Topeka campuses); Director, Equal Opportunity Office, Mail Stop 7004, 4330 Shawnee Mission Parkway, Fairway, KS 66205, 913-588-8011, 711 TTY (for the Wichita, Salina, and Kansas City, Kansas medical center campuses). diff --git a/src/data/compiled_bios/4227.txt b/src/data/compiled_bios/4227.txt new file mode 100644 index 0000000000..1be545e03c --- /dev/null +++ b/src/data/compiled_bios/4227.txt @@ -0,0 +1 @@ + Home | My Info | Research | Resume | Teaching Taejoon Kim Assistant Professor Department of Electrical Engineering and Computer Science The University of Kansas 3020 Eaton Hall 1520 West 15th Street Lawrence, KS 66045-7608 206 Nichols Hall 2335 Irving Hill Road Lawrence, KS 66045 Email: taejoonkim@ku.edu Phone: 785-864-8822 Current Openings: Two GRA and Ph.D. positions are available News: 27th US Patent with Sayantan Choudhufy, Zhong Yi Jin, Klaus Doppler, and Chittabrata Ghosh, is granted 2018. Joined the Department of Electrical Engineering and Computer Science at University of Kansas , 2017. Received Best Paper Award ofthe IEEE Transactions on Communicatioans (2016 Stephen O. Rice Prize in the Field of Communications Theory) along with co-authors, Sooyoung Hur, David J. Love, Jim V. Krogmier, Tim A. Thomas, and Amitava Ghosh. Check our recent work on "Outdoor Urban Millimeter Wave 3D Beam Alignment Using 3D Ray Tracing" 2016: (a) Video A (Setting) : Showing the UE's movement and rotation, antenna arrays at both UE and BS, six-sector BS configuration, and the street geometry. (b) Video B (Multicell & Single-UE) : Showing the beam-alignment and UE re-attaches to another BS when the original link is blocked. The frame duration is 10ms. The red line is the desired channel path. (c) Video C (Multicell & MultiUE) : Showing the intra-cell interference management. The green line is the downlink interference channel path. (d) Video D (Holistic View) : Showing more UEs runing in the simulator. Searving as an Associate Editor of the IEEE Transactions on Communications . 20th US Patent with Sayantan Choudhury, Chittabrata Ghosh, Klaus Doppler, Esa Toumala, is granted, 2015. 15th US Patent (Taejoon Kim, Timothy Schmidl, ``Phase Locking Loop," US Patent No. 8,711,983), is granted, 2014. Received Best Paper Award of IEEE International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC) 2012 for the work with Sayantan Choudhury, Zhongyi Jin, Klaus Doppler, and Chittabrata Ghosh. Awarded Nokia Research Center Kudos Award , 2012. diff --git a/src/data/compiled_bios/4228.txt b/src/data/compiled_bios/4228.txt new file mode 100644 index 0000000000..a2c6bf0418 --- /dev/null +++ b/src/data/compiled_bios/4228.txt @@ -0,0 +1 @@ + Skip to main content The University of Kansas myKU Email Blackboard Enroll & Pay KU Directory A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All Academics Athletics Your browser must support JavaScript to view this content. Please enable JavaScript in your browser settings then try again. Your browser must support JavaScript to view this content. Please enable JavaScript in your browser settings then try again. Your browser must support JavaScript to view this content. Please enable JavaScript in your browser settings then try again. Campus Map | Directions | Campuses | Buses | Parking Information Technology | Jobs at KU Finances Tuition | Bill Payments | Scholarship Search Financial Aid | Loans | Beak 'em Bucks Search all KU People Search Library Search Libraries | Hours & locations | Ask Advising | Catalog | Tutors Writing Center | Math help room Finals Schedule | GPA Calculator CMS Login : KU Users | Non-KU Users KU Home About KU Admissions Athletics Alumni Campuses Social Media Endowment KU Today Electrical Engineering and Computer Science School of Engineering Search form Search Home About Chair's Message Vision & Mission Academic Experience Prospective Students Overview Disciplines Undergraduate Programs Academic Experience Degree Requirements Scholarship & Tuition Admissions Degree Accreditation Graduate Programs Master's Program Ph.D. Programs Research Clusters Applied Electromagnetics Communications Systems Computational Science and Engineering Computer Systems Design Computing in the Biosciences Data Science and Engineering IT Project Management Languages and Semantics Network Engineering Network Systems Radar Systems and Remote Sensing RF Systems Engineering Cyber Security Signal Processing Software Engineering Theory of Computing Graduate Funding Cybersecurity Graduate Certificate Data Science and Engineering Software Engineering and Management Certificate RF Systems Engineering Graduate Certificate Facilities Current Students Overview New Students Undergraduate Graduate Undergraduate Students Graduate Students Master's Programs Ph.D. Programs Research Clusters Defense Notices Cybersecurity Graduate Certificate Data Science Graduate Certificate Software Engineering and Management Certificate RF Systems Engineering Graduate Certificate EECS Courses Facilities Research Facilities Facilities Location EECS Workstation Software Eaton Hall Map EECS Shop Faculty & Staff Faculty Chairpersons Administrative Staff Technical Staff Research Overview Research Clusters Applied Electromagnetics Communications Systems Computer Systems Design Computing in the Biosciences Intelligent Informatics Languages and Semantics Network Engineering Network Systems Radar Systems and Remote Sensing RF Systems Engineering Cyber Security Signal Processing Software Engineering Theory of Computing Defense Notices Research Facilities Alumni & Friends Advisory Board Welcome Alumni! Giving Tech Help Menu Home About Chair's Message Vision & Mission Academic Experience Prospective Students Overview Disciplines Undergraduate Programs Academic Experience Degree Requirements Scholarship & Tuition Admissions Degree Accreditation Graduate Programs Master's Program Ph.D. Programs Research Clusters Applied Electromagnetics Communications Systems Computational Science and Engineering Computer Systems Design Computing in the Biosciences Data Science and Engineering IT Project Management Languages and Semantics Network Engineering Network Systems Radar Systems and Remote Sensing RF Systems Engineering Cyber Security Signal Processing Software Engineering Theory of Computing Graduate Funding Cybersecurity Graduate Certificate Data Science and Engineering Software Engineering and Management Certificate RF Systems Engineering Graduate Certificate Facilities Current Students Overview New Students Undergraduate Graduate Undergraduate Students Graduate Students Master's Programs Ph.D. Programs Research Clusters Defense Notices Cybersecurity Graduate Certificate Data Science Graduate Certificate Software Engineering and Management Certificate RF Systems Engineering Graduate Certificate EECS Courses Facilities Research Facilities Facilities Location EECS Workstation Software Eaton Hall Map EECS Shop Faculty & Staff Faculty Chairpersons Administrative Staff Technical Staff Research Overview Research Clusters Applied Electromagnetics Communications Systems Computer Systems Design Computing in the Biosciences Intelligent Informatics Languages and Semantics Network Engineering Network Systems Radar Systems and Remote Sensing RF Systems Engineering Cyber Security Signal Processing Software Engineering Theory of Computing Defense Notices Research Facilities Alumni & Friends Advisory Board Welcome Alumni! Giving Tech Help Search Search form Search Home Kosta Kokkinakis KOSTA KOKKINAKIS Download K. Kokkinakis' vCard 1 Visit K. Kokkinakis' Website 2 Kosta Kokkinakis Courtesy Assistant Professor kokkinak@ku.edu 3 Primary office : 785-864-4467 Summary 4 Bio 5 Primary Research Interests Signal processing Binaural hearing mechanisms Psychoacoustics Development of speech coding strategies and their application to cochlear implants EECS Application Login EECS Gradplanner Login EECS Shop Department Events Please update your browser to view the iframe content. Your browser must support JavaScript to view this content. Please enable JavaScript in your browser settings then try again. KU Today 'For the People' exhibition to open in the Haricombe Gallery Feb. 19 All KU News Give to KU Why KU Apply High school seniors can apply to the SELF Program, a four-year enrichment and leadership experience Engineering students build concrete canoes, Formula race cars, unmanned planes, and rockets for competitions nationwide More first and second place awards in student AIAA aircraft design contests than any other school in the world One of 34 U.S. public institutions in the prestigious Association of American Universities 44 nationally ranked graduate programs. U.S. News & World Report Top 50 nationwide for size of library collection. ALA 5th nationwide for service to veterans "Best for Vets: Colleges," Military Times Links on this page: http://eecs.ku.edu/people/vcard/kkokkina.vcf http://splh.ku.edu/Faculty/KokkinakisBio.shtml kokkinak@ku.edu http://eecs.ku.edu/kosta-kokkinakis#tabSummary http://eecs.ku.edu/kosta-kokkinakis#link1 Contact Electrical Engineering and Computer Science eecs-info@ku.edu 785-864-4620 2001 Eaton Hall 1520 West 15th Street University of Kansas Lawrence, KS 66045-7608 Degree Accreditation Information Enrollment & Graduation Data EECS Resources News Publications Facilities Webmail Alumni Cadence Undergraduate Graduation Planner Prospective Students Disciplines Undergraduate Programs Graduate Programs Facilities Degree Accreditation Enrollment & Graduation Data Current Students New Students Undergraduate Students Graduate Students EECS Courses Facilities Faculty Documents & Forms EECS Courses Facilities Faculty & Staff Faculty Chairpersons Administrative Staff Technical Staff Research Focus Areas Reseach Centers Defense Notices Academics Accessible KU Admissions Alumni Athletics Campuses Giving Jobs Safety Contact KU Lawrence, KS | Maps The University of Kansas prohibits discrimination on the basis of race, color, ethnicity, religion, sex, national origin, age, ancestry, disability, status as a veteran, sexual orientation, marital status, parental status, gender identity, gender expression, and genetic information in the university's programs and activities. Retaliation is also prohibited by university policy. The following persons have been designated to handle inquiries regarding the nondiscrimination policies and are the Title IX coordinators for their respective campuses: Director of the Office of Institutional Opportunity & Access, IOA@ku.edu , Room 1082, Dole Human Development Center, 1000 Sunnyside Avenue, Lawrence, KS 66045, 785-864-6414, 711 TTY (for the Lawrence, Edwards, Parsons, Yoder, and Topeka campuses); Director, Equal Opportunity Office, Mail Stop 7004, 4330 Shawnee Mission Parkway, Fairway, KS 66205, 913-588-8011, 711 TTY (for the Wichita, Salina, and Kansas City, Kansas medical center campuses). diff --git a/src/data/compiled_bios/4229.txt b/src/data/compiled_bios/4229.txt new file mode 100644 index 0000000000..11d6c1c6e7 --- /dev/null +++ b/src/data/compiled_bios/4229.txt @@ -0,0 +1 @@ + Skip to main content The University of Kansas myKU Email Blackboard Enroll & Pay KU Directory A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All Academics Athletics Your browser must support JavaScript to view this content. 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Campus Map | Directions | Campuses | Buses | Parking Information Technology | Jobs at KU Finances Tuition | Bill Payments | Scholarship Search Financial Aid | Loans | Beak 'em Bucks Search all KU People Search Library Search Libraries | Hours & locations | Ask Advising | Catalog | Tutors Writing Center | Math help room Finals Schedule | GPA Calculator CMS Login : KU Users | Non-KU Users KU Home About KU Admissions Athletics Alumni Campuses Social Media Endowment KU Today Electrical Engineering and Computer Science School of Engineering Search form Search Home About Chair's Message Vision & Mission Academic Experience Prospective Students Overview Disciplines Undergraduate Programs Academic Experience Degree Requirements Scholarship & Tuition Admissions Degree Accreditation Graduate Programs Master's Program Ph.D. Programs Research Clusters Applied Electromagnetics Communications Systems Computational Science and Engineering Computer Systems Design Computing in the Biosciences Data Science and Engineering IT Project Management Languages and Semantics Network Engineering Network Systems Radar Systems and Remote Sensing RF Systems Engineering Cyber Security Signal Processing Software Engineering Theory of Computing Graduate Funding Cybersecurity Graduate Certificate Data Science and Engineering Software Engineering and Management Certificate RF Systems Engineering Graduate Certificate Facilities Current Students Overview New Students Undergraduate Graduate Undergraduate Students Graduate Students Master's Programs Ph.D. Programs Research Clusters Defense Notices Cybersecurity Graduate Certificate Data Science Graduate Certificate Software Engineering and Management Certificate RF Systems Engineering Graduate Certificate EECS Courses Facilities Research Facilities Facilities Location EECS Workstation Software Eaton Hall Map EECS Shop Faculty & Staff Faculty Chairpersons Administrative Staff Technical Staff Research Overview Research Clusters Applied Electromagnetics Communications Systems Computer Systems Design Computing in the Biosciences Intelligent Informatics Languages and Semantics Network Engineering Network Systems Radar Systems and Remote Sensing RF Systems Engineering Cyber Security Signal Processing Software Engineering Theory of Computing Defense Notices Research Facilities Alumni & Friends Advisory Board Welcome Alumni! Giving Tech Help Menu Home About Chair's Message Vision & Mission Academic Experience Prospective Students Overview Disciplines Undergraduate Programs Academic Experience Degree Requirements Scholarship & Tuition Admissions Degree Accreditation Graduate Programs Master's Program Ph.D. Programs Research Clusters Applied Electromagnetics Communications Systems Computational Science and Engineering Computer Systems Design Computing in the Biosciences Data Science and Engineering IT Project Management Languages and Semantics Network Engineering Network Systems Radar Systems and Remote Sensing RF Systems Engineering Cyber Security Signal Processing Software Engineering Theory of Computing Graduate Funding Cybersecurity Graduate Certificate Data Science and Engineering Software Engineering and Management Certificate RF Systems Engineering Graduate Certificate Facilities Current Students Overview New Students Undergraduate Graduate Undergraduate Students Graduate Students Master's Programs Ph.D. Programs Research Clusters Defense Notices Cybersecurity Graduate Certificate Data Science Graduate Certificate Software Engineering and Management Certificate RF Systems Engineering Graduate Certificate EECS Courses Facilities Research Facilities Facilities Location EECS Workstation Software Eaton Hall Map EECS Shop Faculty & Staff Faculty Chairpersons Administrative Staff Technical Staff Research Overview Research Clusters Applied Electromagnetics Communications Systems Computer Systems Design Computing in the Biosciences Intelligent Informatics Languages and Semantics Network Engineering Network Systems Radar Systems and Remote Sensing RF Systems Engineering Cyber Security Signal Processing Software Engineering Theory of Computing Defense Notices Research Facilities Alumni & Friends Advisory Board Welcome Alumni! Giving Tech Help Search Search form Search Home Man Kong MAN KONG Man Kong Associate Professor kong@ku.edu 1 Primary office : 785-864-7389 2038 Eaton Hall Summary 2 Bio 3 Academics 4 Publications 5 Awards/Honors 6 Primary Research Interests Algorithm Design and Analysis Combinatorial Optimizations Graph Algorithms Education Ph.D. in Computer Science, University of Nebraska, 1986 M.S. in Computer Science, University of Nebraska, 1985 M.S. in Mathematics, University of Illinois, 1980 B.A. in Mathematics, Fresno State University, 1977 Teaching Discrete Structures Data structures Design and Analysis of Algorithms Graph Algorithms Research Design and Analysis of Algorithms Combinatorial Optimizations Graph Algorithms Service Faculty Senate, Member, Univeristy of Kansas, 2008-Present; University Senate, Member, Univeristy of Kansas, 2008-Present; University Judicial Board, Member, Univeristy of Kansas, 2007-Present; Upsilon Pi Epsilon Association, Faculty Advisor, Univeristy of Kansas, 2001-Present; Memberships ACM IEEE Fellow, Institute of Combinatorics and its Applications Selected Publications M.C. Kong, Sin-Min Lee, Eric Seah and Alfred S. Tang, A Complete Characterization of Balanced Graphs, Journal of Combinatorial Mathematics and Combinatorial Computing 66, pp. 225-236, 2008. Nancy Kinnersley and Man C. Kong, Fun in Teaching Counting using the Powerball Lottery, The 37th ASEE/IEEE Frontiers in Education Conference, F25: 7 11, Milwaukee, WI, 2007. Selected Awards & Honors John E. and Winifred E. Sharp Professorship, University of Kansas, 2006. Excellence in Teaching Award, Center for Teaching Excellence, University of Kansas, 2004. Harry Talley Excellence in Teaching Award, EECS Department, University of Kansas, 2001. Affliliations ACM IEEE Institute of Combinatorics and its Applications EECS Application Login EECS Gradplanner Login EECS Shop Department Events Please update your browser to view the iframe content. Your browser must support JavaScript to view this content. Please enable JavaScript in your browser settings then try again. KU Today Students to present at Kansas Undergraduate Research Day at the Capitol All KU News Give to KU Why KU Apply High school seniors can apply to the SELF Program, a four-year enrichment and leadership experience Engineering students build concrete canoes, Formula race cars, unmanned planes, and rockets for competitions nationwide More first and second place awards in student AIAA aircraft design contests than any other school in the world One of 34 U.S. public institutions in the prestigious Association of American Universities 44 nationally ranked graduate programs. U.S. News & World Report Top 50 nationwide for size of library collection. ALA 5th nationwide for service to veterans "Best for Vets: Colleges," Military Times Links on this page: kong@ku.edu http://eecs.ku.edu/man-kong#tabSummary http://eecs.ku.edu/man-kong#link1 http://eecs.ku.edu/man-kong#link2 http://eecs.ku.edu/man-kong#link3 http://eecs.ku.edu/man-kong#link5 Contact Electrical Engineering and Computer Science eecs-info@ku.edu 785-864-4620 2001 Eaton Hall 1520 West 15th Street University of Kansas Lawrence, KS 66045-7608 Degree Accreditation Information Enrollment & Graduation Data EECS Resources News Publications Facilities Webmail Alumni Cadence Undergraduate Graduation Planner Prospective Students Disciplines Undergraduate Programs Graduate Programs Facilities Degree Accreditation Enrollment & Graduation Data Current Students New Students Undergraduate Students Graduate Students EECS Courses Facilities Faculty Documents & Forms EECS Courses Facilities Faculty & Staff Faculty Chairpersons Administrative Staff Technical Staff Research Focus Areas Reseach Centers Defense Notices Academics Accessible KU Admissions Alumni Athletics Campuses Giving Jobs Safety Contact KU Lawrence, KS | Maps The University of Kansas prohibits discrimination on the basis of race, color, ethnicity, religion, sex, national origin, age, ancestry, disability, status as a veteran, sexual orientation, marital status, parental status, gender identity, gender expression, and genetic information in the university's programs and activities. Retaliation is also prohibited by university policy. The following persons have been designated to handle inquiries regarding the nondiscrimination policies and are the Title IX coordinators for their respective campuses: Director of the Office of Institutional Opportunity & Access, IOA@ku.edu , Room 1082, Dole Human Development Center, 1000 Sunnyside Avenue, Lawrence, KS 66045, 785-864-6414, 711 TTY (for the Lawrence, Edwards, Parsons, Yoder, and Topeka campuses); Director, Equal Opportunity Office, Mail Stop 7004, 4330 Shawnee Mission Parkway, Fairway, KS 66205, 913-588-8011, 711 TTY (for the Wichita, Salina, and Kansas City, Kansas medical center campuses). diff --git a/src/data/compiled_bios/423.txt b/src/data/compiled_bios/423.txt new file mode 100644 index 0000000000..74dc4235f0 --- /dev/null +++ b/src/data/compiled_bios/423.txt @@ -0,0 +1 @@ +SCE Home NTU Home Welcome to Chan Syin's home page Bio Selected publications SCE undergraduate programmes Undergraduate mentoring CE/CZ1005 Digital Logic Calvary Pandan BP Church Far Eastern Bible College "The Reason Why" by Robert Laidlaw For what shall it profit a man, if he shall gain the whole world, and lose his own soul? Mark 8:30 diff --git a/src/data/compiled_bios/4230.txt b/src/data/compiled_bios/4230.txt new file mode 100644 index 0000000000..1c0427cdd3 --- /dev/null +++ b/src/data/compiled_bios/4230.txt @@ -0,0 +1 @@ + Prasad Kulkarni Professor Electrical Engineering and Computer Science University of Kansas Address: 136 Nichols Hall, EECS, University of Kansas, Lawrence, KS 66045. Phone: (785) 864-8819 Email: I received my PHD in Computer Science from the Florida State University in 2007 and am currently an Associate Professor in the EECS department at the University of Kansas. My research interests are in the areas of compilers, computer architecture, and runtime systems (virtual machines). In particular, we focus on building system tools to investigate and solve a variety of interesting problems to enable more efficient and secure program execution on modern multi-core machines and embedded systems. As a student I received the IBM Ph.D. fellowship. I was awarded the NSF's CAREER award in 2010, and KU EECS students awarded me with the Harry Tally Excellence in Teaching Award in 2012 and 2017. I invite you to visit our CARS research group page to find an overview of our research. Research Group Compilers, Architectures, and Runtime Systems (CARS) Group Publications Publications list Teaching EECS268: Programming II EECS541/EECS542: Computer Systems Design Lab I/II EECS 665: Compiler Construction EECS 678: Introduction to Operating Systems EECS 768: Virtual Machines EECS 700: Security and Performance (Special Topics) EECS 802: Graduate Seminar Prajna Dhar diff --git a/src/data/compiled_bios/4231.txt b/src/data/compiled_bios/4231.txt new file mode 100644 index 0000000000..d1894f6099 --- /dev/null +++ b/src/data/compiled_bios/4231.txt @@ -0,0 +1 @@ + Skip to main content The University of Kansas myKU Email Blackboard Enroll & Pay KU Directory A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All Academics Athletics Your browser must support JavaScript to view this content. Please enable JavaScript in your browser settings then try again. Your browser must support JavaScript to view this content. Please enable JavaScript in your browser settings then try again. 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Campus Map | Directions | Campuses | Buses | Parking Information Technology | Jobs at KU Finances Tuition | Bill Payments | Scholarship Search Financial Aid | Loans | Beak 'em Bucks Search all KU People Search Library Search Libraries | Hours & locations | Ask Advising | Catalog | Tutors Writing Center | Math help room Finals Schedule | GPA Calculator CMS Login : KU Users | Non-KU Users KU Home About KU Admissions Athletics Alumni Campuses Social Media Endowment KU Today Electrical Engineering and Computer Science School of Engineering Search form Search Home About Chair's Message Vision & Mission Academic Experience Prospective Students Overview Disciplines Undergraduate Programs Academic Experience Degree Requirements Scholarship & Tuition Admissions Degree Accreditation Graduate Programs Master's Program Ph.D. Programs Research Clusters Applied Electromagnetics Communications Systems Computational Science and Engineering Computer Systems Design Computing in the Biosciences Data Science and Engineering IT Project Management Languages and Semantics Network Engineering Network Systems Radar Systems and Remote Sensing RF Systems Engineering Cyber Security Signal Processing Software Engineering Theory of Computing Graduate Funding Cybersecurity Graduate Certificate Data Science and Engineering Software Engineering and Management Certificate RF Systems Engineering Graduate Certificate Facilities Current Students Overview New Students Undergraduate Graduate Undergraduate Students Graduate Students Master's Programs Ph.D. Programs Research Clusters Defense Notices Cybersecurity Graduate Certificate Data Science Graduate Certificate Software Engineering and Management Certificate RF Systems Engineering Graduate Certificate EECS Courses Facilities Research Facilities Facilities Location EECS Workstation Software Eaton Hall Map EECS Shop Faculty & Staff Faculty Chairpersons Administrative Staff Technical Staff Research Overview Research Clusters Applied Electromagnetics Communications Systems Computer Systems Design Computing in the Biosciences Intelligent Informatics Languages and Semantics Network Engineering Network Systems Radar Systems and Remote Sensing RF Systems Engineering Cyber Security Signal Processing Software Engineering Theory of Computing Defense Notices Research Facilities Alumni & Friends Advisory Board Welcome Alumni! Giving Tech Help Menu Home About Chair's Message Vision & Mission Academic Experience Prospective Students Overview Disciplines Undergraduate Programs Academic Experience Degree Requirements Scholarship & Tuition Admissions Degree Accreditation Graduate Programs Master's Program Ph.D. Programs Research Clusters Applied Electromagnetics Communications Systems Computational Science and Engineering Computer Systems Design Computing in the Biosciences Data Science and Engineering IT Project Management Languages and Semantics Network Engineering Network Systems Radar Systems and Remote Sensing RF Systems Engineering Cyber Security Signal Processing Software Engineering Theory of Computing Graduate Funding Cybersecurity Graduate Certificate Data Science and Engineering Software Engineering and Management Certificate RF Systems Engineering Graduate Certificate Facilities Current Students Overview New Students Undergraduate Graduate Undergraduate Students Graduate Students Master's Programs Ph.D. Programs Research Clusters Defense Notices Cybersecurity Graduate Certificate Data Science Graduate Certificate Software Engineering and Management Certificate RF Systems Engineering Graduate Certificate EECS Courses Facilities Research Facilities Facilities Location EECS Workstation Software Eaton Hall Map EECS Shop Faculty & Staff Faculty Chairpersons Administrative Staff Technical Staff Research Overview Research Clusters Applied Electromagnetics Communications Systems Computer Systems Design Computing in the Biosciences Intelligent Informatics Languages and Semantics Network Engineering Network Systems Radar Systems and Remote Sensing RF Systems Engineering Cyber Security Signal Processing Software Engineering Theory of Computing Defense Notices Research Facilities Alumni & Friends Advisory Board Welcome Alumni! Giving Tech Help Search Search form Search Home Carlton Leuschen CARLTON LEUSCHEN Carlton Leuschen Associate Professor leuschen@ku.edu 1 Primary office : 785-864-7723 2052 Eaton Hall Second office : 311 Nichols Hall Summary 2 Bio 3 Academics 4 Publications 5 Awards/Honors 6 Primary Research Interests Radar System Design and Development Remote Sensing of Ice and Snow High Resolution Radar for Agricultural Applications Planetary Radar Sounding Education Ph. D. in Electrical Engineering with Honors, The University of Kansas, 2001 M.S. in Electrical Engineering with Honors, The University of Kansas, 1997 B.S. in Electrical Engineering with Highest Distinction, The University of Kansas, 1995 Teaching Electronic Circuits Signals and Systems Digital Signal Processing using Field Programmable Gate Arrays Radar Systems Memberships Institute of Electrical and Electronics Engineers IEEE Geoscience and Remote Sensing Society Selected Publications Link 7 to Google Scholar Selected Publications Arnold, E., Rodriguez-Morales, F., Paden, J., Leuschen, C. , Keshmiri, S., Yan, S., Ewing, M., Hale, R., Mahmood, A., Blevins, A., Mishra, A., Karidi, T., Miller, B., & Sonntag, J. (2018) HF/VHF Radar Sounding of Ice from Manned and Unmanned Airborne Platforms. Geosciences , 8(5), 182. Watters, T., Leuschen, C. , Campbell, B., Morgan, G., Cicchetti, A., Grant, J., Phillips, R., & Plaut, J. (2017). Radar Sounder Evidence of Thick, Porous Sediments in Meridiani Planum and Implications for IceFilled Deposits on Mars. Geophysical Research Letters, 44 (18), 9208-9215. Patel, A., Paden, J., Leuschen, C. , Kwok, R., Gomez-Garcia, D., Panzer, B., Davidson, M. W., & Gogineni, S. (2015). Fine-Resolution Radar Altimeter Measurements on Land and Sea Ice. IEEE Transactions on Geoscience and Remote Sensing, 53 (5), 25472564. Leuschen, C. , Hale, R., Keshmiri, S., Yan, J., Rodriguez-Morales, F., Mahmood, A., & Gogineni, S. (2014). UAS-Based Radar Sounding of the Polar Ice Sheets. IEEE Geoscience and Remote Sensing Magazine, 2 (1), 817. Rodriguez-Morales, F., Gogineni, S., Leuschen, C. , Paden, J., Li, J., Lewis, C., Panzer, B., Gomez-Garcia Alvestegui, D., Patel, A., Byers, K., & others. (2014). Advanced Multifrequency Radar Instrumentation for Polar Research. IEEE Transactions on Geoscience and Remote Sensing, 52 (5), 2824-2842. Panzer, B., Gomez-Garcia, D., Leuschen, C. , Paden, J., Rodriguez-Morales, F., Patel, A., Markus, T., Holt, B., & Gogineni, P. (2013). An Ultra-Wideband, Microwave Radar for Measuring Snow Thickness on Sea Ice and Mapping Near-Surface Internal Layers in Polar Firn. Journal of Glaciology, 59 (214), 244254. Selected Awards & Honors Richard and Wilma Moore Thesis Award Miller Scholar Award Miller Professional Development Award NASA Operation Ice Bridge Service Award NSF Antarctic Service Award NSF PolarTrec Service Award Interim Director, Center for Remote Sensing of Ice Sheets 8 EECS Application Login EECS Gradplanner Login EECS Shop Department Events Please update your browser to view the iframe content. Your browser must support JavaScript to view this content. Please enable JavaScript in your browser settings then try again. KU Today Industrial artists Drop Unit asks: What shapes us? All KU News Give to KU Why KU Apply High school seniors can apply to the SELF Program, a four-year enrichment and leadership experience Engineering students build concrete canoes, Formula race cars, unmanned planes, and rockets for competitions nationwide More first and second place awards in student AIAA aircraft design contests than any other school in the world One of 34 U.S. public institutions in the prestigious Association of American Universities 44 nationally ranked graduate programs. U.S. News & World Report Top 50 nationwide for size of library collection. ALA 5th nationwide for service to veterans "Best for Vets: Colleges," Military Times Links on this page: leuschen@ku.edu http://eecs.ku.edu/carlton-leuschen#tabSummary http://eecs.ku.edu/carlton-leuschen#link1 http://eecs.ku.edu/carlton-leuschen#link2 http://eecs.ku.edu/carlton-leuschen#link3 http://eecs.ku.edu/carlton-leuschen#link5 https://scholar.google.com/citations?user=9gZ4IzQAAAAJ&hl=en&oi=ao http://cresis.ku.edu/ Contact Electrical Engineering and Computer Science eecs-info@ku.edu 785-864-4620 2001 Eaton Hall 1520 West 15th Street University of Kansas Lawrence, KS 66045-7608 Degree Accreditation Information Enrollment & Graduation Data EECS Resources News Publications Facilities Webmail Alumni Cadence Undergraduate Graduation Planner Prospective Students Disciplines Undergraduate Programs Graduate Programs Facilities Degree Accreditation Enrollment & Graduation Data Current Students New Students Undergraduate Students Graduate Students EECS Courses Facilities Faculty Documents & Forms EECS Courses Facilities Faculty & Staff Faculty Chairpersons Administrative Staff Technical Staff Research Focus Areas Reseach Centers Defense Notices Academics Accessible KU Admissions Alumni Athletics Campuses Giving Jobs Safety Contact KU Lawrence, KS | Maps The University of Kansas prohibits discrimination on the basis of race, color, ethnicity, religion, sex, national origin, age, ancestry, disability, status as a veteran, sexual orientation, marital status, parental status, gender identity, gender expression, and genetic information in the university's programs and activities. Retaliation is also prohibited by university policy. The following persons have been designated to handle inquiries regarding the nondiscrimination policies and are the Title IX coordinators for their respective campuses: Director of the Office of Institutional Opportunity & Access, IOA@ku.edu , Room 1082, Dole Human Development Center, 1000 Sunnyside Avenue, Lawrence, KS 66045, 785-864-6414, 711 TTY (for the Lawrence, Edwards, Parsons, Yoder, and Topeka campuses); Director, Equal Opportunity Office, Mail Stop 7004, 4330 Shawnee Mission Parkway, Fairway, KS 66205, 913-588-8011, 711 TTY (for the Wichita, Salina, and Kansas City, Kansas medical center campuses). diff --git a/src/data/compiled_bios/4232.txt b/src/data/compiled_bios/4232.txt new file mode 100644 index 0000000000..3f90a5f41c --- /dev/null +++ b/src/data/compiled_bios/4232.txt @@ -0,0 +1 @@ + Fengjun Li Home Research Publications Group Teaching Contact Latest News Li is invited to give a talk on Privacy-Preserving Classification for IoT Applications at the HotPrivacy Day (Hot Topics in Privacy), which is collocated with IEEE PAC 2018 at Washington DC. Sept 26, 2018 Li gave an invited talk on Enhancing Data Privacy in Cloud-Assisted IoT Applications at UNC-Charlotte. July 24, 2018 We successfully hosted the 2018 GenCyber Teacher Camp at KU! July 23-27, 2018 Li gave an invited talk on Supporting Data Privacy in Cloud-assisted IoT Applications at USTC, China June 19, 2018 Our paper accepted by ESORICS 2018. Congratulations to Lei and Chris! June 15, 2018 Pegah successfully defended her master thesis on "Understanding User Behavior in Social Networks Using Quantied Moral Foundations". Congratulations! May 2018 Li was invited to give a talk on "Combating Misinformation: Online Review Spam Detection" at EECS Advisory Board Meeting. April 2018 Our Science of Security Project "Cloud-Assisted IoT System Privacy" is selected for funding by NSA. Exciting! March 2018 Our paper accepted by IEEE CNS 2018. Congratulations to Lei! Feb 2018 Read more Associate Professor Department of Electrical Engineering and Computer Science (EECS) Information & Telecommunication Technology Center (ITTC) The University of Kansas Dr. Fengjun Li is an associate proefessor at the Department of Electrical Engineering and Computer Science of the University of Kansas. She received B.E. degree (with honor) from the University of Science and Technology of China in 2001, M.Phil. from the Chinese University of Hong Kong in 2004 and Ph.D. from the Pennsylvania State University in 2010. She received the Kansas NSF EPSCoR First Award in 2014 and the Miller Scholar Award from the University of Kansas in 2016. Her research interests lie in a broad area of security and privacy for distributed information systems, cyber-physical systems and communication networks. (More details in CV ) I am looking for self-motivated PhD students with strong computer science background (in for example security, computer networks, system development, etc.) to join my research group. Research My current research interests include: Security and privacy in cyber-physical systems Social network privacy, social media spam detection Network security Secure data sharing and publishing Learn more about my reserch ( publications , Google Scholar and DBLP ) and my research group KUPS . Selected Professional Service Edtorial board member: International Journal on Security (2012-present), JSM Computer Science & Engineering (2013-present) Steering committee chair: Central Area Networking and Security Workshop (2017-present) Finance Chair: IEEE International Conference on Intelligence and Security Informatics (ISI 2018) Organizing Co-Chair: Misinformation in Social Media Age Workshop (2017) , CANSec Workshop (2013, 2014) Publicity Chair: IFIP WG 11.3 Conference on Data and Applications Security and Privacy (DBSec 2017) Award Committee Chair: WiCyS 2017 Poster Co-Chair: IEEE BIBM 2015 PC member: IEEE ISI 2018 , IEEE MASS 2018 , IFIP Networking 2018 , ENERGY 2016 , IEEE ISSNIP 2014 , IEEE SmartGridComm 2013 , ACM CIKM 2012 , IEEE HISB 2011 Panelist for NSF Fun Facts My Mathematics Geneology My Erdos Number is 4: Wing Shing Wong (3) -- Kenneth Wing-Ki Shum (2) -- Vijaya Kumar Murty (1) -- Paul Erds Last edited in August 2018 diff --git a/src/data/compiled_bios/4233.txt b/src/data/compiled_bios/4233.txt new file mode 100644 index 0000000000..652d00d6e6 --- /dev/null +++ b/src/data/compiled_bios/4233.txt @@ -0,0 +1 @@ + Skip to main content The University of Kansas myKU Email Blackboard Enroll & Pay KU Directory A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All Academics Athletics Your browser must support JavaScript to view this content. Please enable JavaScript in your browser settings then try again. Your browser must support JavaScript to view this content. Please enable JavaScript in your browser settings then try again. Your browser must support JavaScript to view this content. Please enable JavaScript in your browser settings then try again. Campus Map | Directions | Campuses | Buses | Parking Information Technology | Jobs at KU Finances Tuition | Bill Payments | Scholarship Search Financial Aid | Loans | Beak 'em Bucks Search all KU People Search Library Search Libraries | Hours & locations | Ask Advising | Catalog | Tutors Writing Center | Math help room Finals Schedule | GPA Calculator CMS Login : KU Users | Non-KU Users KU Home About KU Admissions Athletics Alumni Campuses Social Media Endowment KU Today Electrical Engineering and Computer Science School of Engineering Search form Search Home About Chair's Message Vision & Mission Academic Experience Prospective Students Overview Disciplines Undergraduate Programs Academic Experience Degree Requirements Scholarship & Tuition Admissions Degree Accreditation Graduate Programs Master's Program Ph.D. Programs Research Clusters Applied Electromagnetics Communications Systems Computational Science and Engineering Computer Systems Design Computing in the Biosciences Data Science and Engineering IT Project Management Languages and Semantics Network Engineering Network Systems Radar Systems and Remote Sensing RF Systems Engineering Cyber Security Signal Processing Software Engineering Theory of Computing Graduate Funding Cybersecurity Graduate Certificate Data Science and Engineering Software Engineering and Management Certificate RF Systems Engineering Graduate Certificate Facilities Current Students Overview New Students Undergraduate Graduate Undergraduate Students Graduate Students Master's Programs Ph.D. Programs Research Clusters Defense Notices Cybersecurity Graduate Certificate Data Science Graduate Certificate Software Engineering and Management Certificate RF Systems Engineering Graduate Certificate EECS Courses Facilities Research Facilities Facilities Location EECS Workstation Software Eaton Hall Map EECS Shop Faculty & Staff Faculty Chairpersons Administrative Staff Technical Staff Research Overview Research Clusters Applied Electromagnetics Communications Systems Computer Systems Design Computing in the Biosciences Intelligent Informatics Languages and Semantics Network Engineering Network Systems Radar Systems and Remote Sensing RF Systems Engineering Cyber Security Signal Processing Software Engineering Theory of Computing Defense Notices Research Facilities Alumni & Friends Advisory Board Welcome Alumni! Giving Tech Help Menu Home About Chair's Message Vision & Mission Academic Experience Prospective Students Overview Disciplines Undergraduate Programs Academic Experience Degree Requirements Scholarship & Tuition Admissions Degree Accreditation Graduate Programs Master's Program Ph.D. Programs Research Clusters Applied Electromagnetics Communications Systems Computational Science and Engineering Computer Systems Design Computing in the Biosciences Data Science and Engineering IT Project Management Languages and Semantics Network Engineering Network Systems Radar Systems and Remote Sensing RF Systems Engineering Cyber Security Signal Processing Software Engineering Theory of Computing Graduate Funding Cybersecurity Graduate Certificate Data Science and Engineering Software Engineering and Management Certificate RF Systems Engineering Graduate Certificate Facilities Current Students Overview New Students Undergraduate Graduate Undergraduate Students Graduate Students Master's Programs Ph.D. Programs Research Clusters Defense Notices Cybersecurity Graduate Certificate Data Science Graduate Certificate Software Engineering and Management Certificate RF Systems Engineering Graduate Certificate EECS Courses Facilities Research Facilities Facilities Location EECS Workstation Software Eaton Hall Map EECS Shop Faculty & Staff Faculty Chairpersons Administrative Staff Technical Staff Research Overview Research Clusters Applied Electromagnetics Communications Systems Computer Systems Design Computing in the Biosciences Intelligent Informatics Languages and Semantics Network Engineering Network Systems Radar Systems and Remote Sensing RF Systems Engineering Cyber Security Signal Processing Software Engineering Theory of Computing Defense Notices Research Facilities Alumni & Friends Advisory Board Welcome Alumni! Giving Tech Help Search Search form Search Home Jilu Li JILU LI Download J. Li's vCard 1 Visit J. Li's Website 2 Jilu Li jiluli@ku.edu 3 Primary office : 785-864-1692 325 Nichols Hall Summary 4 Bio 5 Primary Research Interests Radar systems for ice sheet remote sensing Advanced Radar signal and array processing Radar data analysis and interpretation EECS Application Login EECS Gradplanner Login EECS Shop Department Events Please update your browser to view the iframe content. Your browser must support JavaScript to view this content. Please enable JavaScript in your browser settings then try again. KU Today Industrial artists Drop Unit asks: What shapes us? All KU News Give to KU Why KU Apply High school seniors can apply to the SELF Program, a four-year enrichment and leadership experience Engineering students build concrete canoes, Formula race cars, unmanned planes, and rockets for competitions nationwide More first and second place awards in student AIAA aircraft design contests than any other school in the world One of 34 U.S. public institutions in the prestigious Association of American Universities 44 nationally ranked graduate programs. U.S. News & World Report Top 50 nationwide for size of library collection. ALA 5th nationwide for service to veterans "Best for Vets: Colleges," Military Times Links on this page: http://eecs.ku.edu/people/vcard/.vcf http://eecs.ku.edu/people/faculty/ jiluli@ku.edu http://eecs.ku.edu/jilu-li#tabSummary http://eecs.ku.edu/jilu-li#link1 Contact Electrical Engineering and Computer Science eecs-info@ku.edu 785-864-4620 2001 Eaton Hall 1520 West 15th Street University of Kansas Lawrence, KS 66045-7608 Degree Accreditation Information Enrollment & Graduation Data EECS Resources News Publications Facilities Webmail Alumni Cadence Undergraduate Graduation Planner Prospective Students Disciplines Undergraduate Programs Graduate Programs Facilities Degree Accreditation Enrollment & Graduation Data Current Students New Students Undergraduate Students Graduate Students EECS Courses Facilities Faculty Documents & Forms EECS Courses Facilities Faculty & Staff Faculty Chairpersons Administrative Staff Technical Staff Research Focus Areas Reseach Centers Defense Notices Academics Accessible KU Admissions Alumni Athletics Campuses Giving Jobs Safety Contact KU Lawrence, KS | Maps The University of Kansas prohibits discrimination on the basis of race, color, ethnicity, religion, sex, national origin, age, ancestry, disability, status as a veteran, sexual orientation, marital status, parental status, gender identity, gender expression, and genetic information in the university's programs and activities. Retaliation is also prohibited by university policy. The following persons have been designated to handle inquiries regarding the nondiscrimination policies and are the Title IX coordinators for their respective campuses: Director of the Office of Institutional Opportunity & Access, IOA@ku.edu , Room 1082, Dole Human Development Center, 1000 Sunnyside Avenue, Lawrence, KS 66045, 785-864-6414, 711 TTY (for the Lawrence, Edwards, Parsons, Yoder, and Topeka campuses); Director, Equal Opportunity Office, Mail Stop 7004, 4330 Shawnee Mission Parkway, Fairway, KS 66205, 913-588-8011, 711 TTY (for the Wichita, Salina, and Kansas City, Kansas medical center campuses). diff --git a/src/data/compiled_bios/4234.txt b/src/data/compiled_bios/4234.txt new file mode 100644 index 0000000000..cd535fb97c --- /dev/null +++ b/src/data/compiled_bios/4234.txt @@ -0,0 +1 @@ + Bo Luo Ph.D., The Pennsylvania State University, 2008 Associate Professor Department of Electrical Engineering and Computer Science Information and Telecommunication Technology Center The University of Kansas Home Publications Teaching Links Research Group Contact info Department of Electrical Engineering and Computer Science (EECS) 2044 Eaton Hall, 1520 West 15th St, Lawrence KS, 66045 Information and Telecommunication Technology Center (ITTC) 341 Nichols Hall, 2335 Irving Hill Road, Lawrence, KS 66045 phone: 785-864-7749; email: bluo ku edu My PGP public key My not-so-updated vita Research My current research interests lie in the intersection of security and privacy and data science . In particular, I'm interested in: Information security and privacy, database security Smart grid and IoT/CPS security Information retrieval, Web and online social networks I am the PI of Jayhawk SFS -- CyberCorps: Scholarship for Service program at KU. For more information about the program, please visit Jayhawk SFS program homepage . ITTC is a National Center of Academic Excellence in Information Assurance Education (CAE/IAE) designated by the National Security Agency and Department of Homeland Security. Information Assurance Lab (IAL) : IALab Wiki InfoSec Group Seminar Data Science Seminar KU has hosted The 3rd KanSec: Greater Kansas Area Security Workshop , and The 6th Central Area Networking and Security Workshop . Education The Pennsylvania State University , University Park, Pennsylvania Ph.D., Information Sciences and Technology, August, 2008. Advisor: Dr. Dongwon Lee The Chinese University of Hong Kong , Shatin, N.T. Hong Kong M.Phil., Information Engineering, December, 2003 Advisor: Dr. Xiaoou Tang University of Sciences and Technology of China , Hefei, Anhui, P.R.China B.E., Electronic and Information Engineering, July, 2001 Advisor: Dr. Nenghai Yu Word cloud These are two Wordle "word clouds" generated from abstracts of my papers -- (left): papers before 2012; (right): papers from 2012 to 2017. diff --git a/src/data/compiled_bios/4235.txt b/src/data/compiled_bios/4235.txt new file mode 100644 index 0000000000..d384eeed5b --- /dev/null +++ b/src/data/compiled_bios/4235.txt @@ -0,0 +1 @@ + Skip to main content The University of Kansas myKU Email Blackboard Enroll & Pay KU Directory A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All Academics Athletics Your browser must support JavaScript to view this content. Please enable JavaScript in your browser settings then try again. Your browser must support JavaScript to view this content. Please enable JavaScript in your browser settings then try again. Your browser must support JavaScript to view this content. Please enable JavaScript in your browser settings then try again. Campus Map | Directions | Campuses | Buses | Parking Information Technology | Jobs at KU Finances Tuition | Bill Payments | Scholarship Search Financial Aid | Loans | Beak 'em Bucks Search all KU People Search Library Search Libraries | Hours & locations | Ask Advising | Catalog | Tutors Writing Center | Math help room Finals Schedule | GPA Calculator CMS Login : KU Users | Non-KU Users KU Home About KU Admissions Athletics Alumni Campuses Social Media Endowment KU Today Electrical Engineering and Computer Science School of Engineering Search form Search Home About Chair's Message Vision & Mission Academic Experience Prospective Students Overview Disciplines Undergraduate Programs Academic Experience Degree Requirements Scholarship & Tuition Admissions Degree Accreditation Graduate Programs Master's Program Ph.D. Programs Research Clusters Applied Electromagnetics Communications Systems Computational Science and Engineering Computer Systems Design Computing in the Biosciences Data Science and Engineering IT Project Management Languages and Semantics Network Engineering Network Systems Radar Systems and Remote Sensing RF Systems Engineering Cyber Security Signal Processing Software Engineering Theory of Computing Graduate Funding Cybersecurity Graduate Certificate Data Science and Engineering Software Engineering and Management Certificate RF Systems Engineering Graduate Certificate Facilities Current Students Overview New Students Undergraduate Graduate Undergraduate Students Graduate Students Master's Programs Ph.D. Programs Research Clusters Defense Notices Cybersecurity Graduate Certificate Data Science Graduate Certificate Software Engineering and Management Certificate RF Systems Engineering Graduate Certificate EECS Courses Facilities Research Facilities Facilities Location EECS Workstation Software Eaton Hall Map EECS Shop Faculty & Staff Faculty Chairpersons Administrative Staff Technical Staff Research Overview Research Clusters Applied Electromagnetics Communications Systems Computer Systems Design Computing in the Biosciences Intelligent Informatics Languages and Semantics Network Engineering Network Systems Radar Systems and Remote Sensing RF Systems Engineering Cyber Security Signal Processing Software Engineering Theory of Computing Defense Notices Research Facilities Alumni & Friends Advisory Board Welcome Alumni! Giving Tech Help Menu Home About Chair's Message Vision & Mission Academic Experience Prospective Students Overview Disciplines Undergraduate Programs Academic Experience Degree Requirements Scholarship & Tuition Admissions Degree Accreditation Graduate Programs Master's Program Ph.D. Programs Research Clusters Applied Electromagnetics Communications Systems Computational Science and Engineering Computer Systems Design Computing in the Biosciences Data Science and Engineering IT Project Management Languages and Semantics Network Engineering Network Systems Radar Systems and Remote Sensing RF Systems Engineering Cyber Security Signal Processing Software Engineering Theory of Computing Graduate Funding Cybersecurity Graduate Certificate Data Science and Engineering Software Engineering and Management Certificate RF Systems Engineering Graduate Certificate Facilities Current Students Overview New Students Undergraduate Graduate Undergraduate Students Graduate Students Master's Programs Ph.D. Programs Research Clusters Defense Notices Cybersecurity Graduate Certificate Data Science Graduate Certificate Software Engineering and Management Certificate RF Systems Engineering Graduate Certificate EECS Courses Facilities Research Facilities Facilities Location EECS Workstation Software Eaton Hall Map EECS Shop Faculty & Staff Faculty Chairpersons Administrative Staff Technical Staff Research Overview Research Clusters Applied Electromagnetics Communications Systems Computer Systems Design Computing in the Biosciences Intelligent Informatics Languages and Semantics Network Engineering Network Systems Radar Systems and Remote Sensing RF Systems Engineering Cyber Security Signal Processing Software Engineering Theory of Computing Defense Notices Research Facilities Alumni & Friends Advisory Board Welcome Alumni! Giving Tech Help Search Search form Search Home Brian McClendon BRIAN MCCLENDON Brian McClendon, Ph.D. Research Professor bam@ku.edu 1 Primary office : Summary 2 Bio 3 Primary Research Interests: Geographic Information Systems Computer Graphics EECS Application Login EECS Gradplanner Login EECS Shop Department Events Please update your browser to view the iframe content. Your browser must support JavaScript to view this content. Please enable JavaScript in your browser settings then try again. KU Today Industrial artists Drop Unit asks: What shapes us? All KU News Give to KU Why KU Apply High school seniors can apply to the SELF Program, a four-year enrichment and leadership experience Engineering students build concrete canoes, Formula race cars, unmanned planes, and rockets for competitions nationwide More first and second place awards in student AIAA aircraft design contests than any other school in the world One of 34 U.S. public institutions in the prestigious Association of American Universities 44 nationally ranked graduate programs. U.S. News & World Report Top 50 nationwide for size of library collection. ALA 5th nationwide for service to veterans "Best for Vets: Colleges," Military Times Links on this page: bam@ku.edu http://eecs.ku.edu/brian-mcclendon#tabSummary http://eecs.ku.edu/brian-mcclendon#link1 Contact Electrical Engineering and Computer Science eecs-info@ku.edu 785-864-4620 2001 Eaton Hall 1520 West 15th Street University of Kansas Lawrence, KS 66045-7608 Degree Accreditation Information Enrollment & Graduation Data EECS Resources News Publications Facilities Webmail Alumni Cadence Undergraduate Graduation Planner Prospective Students Disciplines Undergraduate Programs Graduate Programs Facilities Degree Accreditation Enrollment & Graduation Data Current Students New Students Undergraduate Students Graduate Students EECS Courses Facilities Faculty Documents & Forms EECS Courses Facilities Faculty & Staff Faculty Chairpersons Administrative Staff Technical Staff Research Focus Areas Reseach Centers Defense Notices Academics Accessible KU Admissions Alumni Athletics Campuses Giving Jobs Safety Contact KU Lawrence, KS | Maps The University of Kansas prohibits discrimination on the basis of race, color, ethnicity, religion, sex, national origin, age, ancestry, disability, status as a veteran, sexual orientation, marital status, parental status, gender identity, gender expression, and genetic information in the university's programs and activities. Retaliation is also prohibited by university policy. The following persons have been designated to handle inquiries regarding the nondiscrimination policies and are the Title IX coordinators for their respective campuses: Director of the Office of Institutional Opportunity & Access, IOA@ku.edu , Room 1082, Dole Human Development Center, 1000 Sunnyside Avenue, Lawrence, KS 66045, 785-864-6414, 711 TTY (for the Lawrence, Edwards, Parsons, Yoder, and Topeka campuses); Director, Equal Opportunity Office, Mail Stop 7004, 4330 Shawnee Mission Parkway, Fairway, KS 66205, 913-588-8011, 711 TTY (for the Wichita, Salina, and Kansas City, Kansas medical center campuses). diff --git a/src/data/compiled_bios/4236.txt b/src/data/compiled_bios/4236.txt new file mode 100644 index 0000000000..052156c24f --- /dev/null +++ b/src/data/compiled_bios/4236.txt @@ -0,0 +1 @@ + James R. Miller Department of Electrical Engineering and Computer Science 2001 Eaton Hall 1520 W. 15 Street The University of Kansas Lawrence , KS 66045-7621 Voice 785-864-7384 EECS Office Voice: 785-864-4620 Fax: 785-864-3226 Email jrmiller@ku.edu Spring 2019 Schedule EECS 675: Multicore and GPU Programming Learned 2111 MWF 11:00-11:50 Office Hours when regular classes are in session : 2036 Eaton Hall MWF 12:00-12:50 or by appointment Graphics, Visualization, and Modeling Classes EECS 672: Introduction to Computer Graphics (offered every fall) Tools Shader-Based OpenGL: Overview, Tutorial, and More The cryph toolkit Using cryph with OpenGL Courses with "672: Introduction to Computer Graphics" as a prerequisite (one of these is typically offered each spring): EECS 773: Advanced Graphics EECS 774: Geometric Modeling EECS 775: Visualization Other Classes Recently and/or Regularly Taught EECS 268: Programming II (CS2) Resource: Moving From Java to C++ EECS 675: Multicore and GPU Programming (offered every spring) Research Interests Computer Graphics Visualization Visualization for Storytelling, an ongoing project with the KU Spencer Museum of Art The genesis of the project Art and Artists Through Time and Space An exhibition developed using the visualization A video documenting the development of the exhibition Scientific and Information Visualization Some recent projects in visualization using NASA World Wind. Some older projects . Graphics Languages and APIs Interactive Techniques Geometric Modeling (Curves, Surfaces, Solids) Technology in Education Some recent papers Other Activities and Interests Past President and current board member of the Arc of Douglas County , an advocacy and referral organization for people with developmental disabilities. We are affiliated with the Arc of the United States . Tae Kwon Do, Hap Ki Do Bike riding, Softball, Volleyball, Racquetball, Golf, ... Microbrewery Quality Assurance ( FSB ; 23rd St ; LBC ) James R. Miller ( jrmiller@ku.edu ) Page last modified: 01/29/2019 16:12:19 diff --git a/src/data/compiled_bios/4237.txt b/src/data/compiled_bios/4237.txt new file mode 100644 index 0000000000..4f32b289d3 --- /dev/null +++ b/src/data/compiled_bios/4237.txt @@ -0,0 +1 @@ + Skip to main content The University of Kansas myKU Email Blackboard Enroll & Pay KU Directory A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All Academics Athletics Your browser must support JavaScript to view this content. Please enable JavaScript in your browser settings then try again. Your browser must support JavaScript to view this content. Please enable JavaScript in your browser settings then try again. Your browser must support JavaScript to view this content. Please enable JavaScript in your browser settings then try again. 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Giving Tech Help Search Search form Search Home Gary Minden GARY MINDEN Professor Gary J. Minden, Ph.D. EE The School of Engineering - Electrical Engineering and Computer Science Professor gminden@ku.edu 1 Primary office : 785-864-4834 2046 Eaton Hall Summary 2 Bio 3 Academics 4 Publications 5 Primary Research Interests Digital systems Microprocessors Embedded Systems Education Ph.D. in Electrical Engineering, The University of Kansas, 1982 B.S. in Electrical Engineering, The University of Kansas, 1973 Teaching Digital Systems Design Computer Architecture Computer Engineering System Design Research Digital systems Microprocessors Embedded Systems Service Program Manager for Information Technology Office, the Defense Advanced ResearchProjects Agency (DARPA), 1994-1996 Memberships Eta Kappa Nu Institute of Electrical and Electronic Engineers Association for Computing Machinery American Association for the Advancement of Science Selected Publications A. B. Kulkarni, G. J. Minden, "Composing Protocol Frameworks for Active Wireless Networks," IEEE Communications Magazine, March 2000, v38, n3, p 130-137. R. L. Dollarhide, A. Agah, G. J. Minden, "Evolving Controllers for Autonomous Robot Search Teams," Artificial Life Robotics (2001), Vol. 5, p. 178-188. W. Howard, et. al., "Coping with Change: Managing RF Spectrum to Meet DoD Needs," Defense Science Board Task Force on RF Spectrum, Defense Science Board, November 2000. (Contributing Author) G. J. Minden, E. Komp, S. Ganje, M. Kannan, S. Subramaniam, S. Tan, S. Vallabhaneni, J. B. Evans, "Composite Protocols for Innovative Active Services", DARPA Active Networks Conference and Exposition (DANCE 2002), San Francisco, California, May 29-31, 2002. S. Krishnaswamy, J. B. Evans, G. J. Minden, "A Prototype Framework for Providing Hop-by-Hop Security in an Experimentally Deployed Active Network", DARPA Active Networks Conference and Exposition (DANCE 2002), San Francisco, California, May 29-31, 2002. G. Minden, et al, "Wideband Radio Frequency Modulation," Defense Science Board, July 2003. (Lead author) S. Subramaniam, E.Komp, M.Kannan, G.Minden, "Building a Reliable Multicast Service based on Composite Protocols for Active Networks," International Working Conference Affliliations ACM IEEE AAAS EECS Application Login EECS Gradplanner Login EECS Shop Department Events Please update your browser to view the iframe content. Your browser must support JavaScript to view this content. Please enable JavaScript in your browser settings then try again. KU Today Industrial artists Drop Unit asks: What shapes us? All KU News Give to KU Why KU Apply High school seniors can apply to the SELF Program, a four-year enrichment and leadership experience Engineering students build concrete canoes, Formula race cars, unmanned planes, and rockets for competitions nationwide More first and second place awards in student AIAA aircraft design contests than any other school in the world One of 34 U.S. public institutions in the prestigious Association of American Universities 44 nationally ranked graduate programs. U.S. News & World Report Top 50 nationwide for size of library collection. ALA 5th nationwide for service to veterans "Best for Vets: Colleges," Military Times Links on this page: gminden@ku.edu http://eecs.ku.edu/gary-minden#tabSummary http://eecs.ku.edu/gary-minden#link1 http://eecs.ku.edu/gary-minden#link2 http://eecs.ku.edu/gary-minden#link3 Contact Electrical Engineering and Computer Science eecs-info@ku.edu 785-864-4620 2001 Eaton Hall 1520 West 15th Street University of Kansas Lawrence, KS 66045-7608 Degree Accreditation Information Enrollment & Graduation Data EECS Resources News Publications Facilities Webmail Alumni Cadence Undergraduate Graduation Planner Prospective Students Disciplines Undergraduate Programs Graduate Programs Facilities Degree Accreditation Enrollment & Graduation Data Current Students New Students Undergraduate Students Graduate Students EECS Courses Facilities Faculty Documents & Forms EECS Courses Facilities Faculty & Staff Faculty Chairpersons Administrative Staff Technical Staff Research Focus Areas Reseach Centers Defense Notices Academics Accessible KU Admissions Alumni Athletics Campuses Giving Jobs Safety Contact KU Lawrence, KS | Maps The University of Kansas prohibits discrimination on the basis of race, color, ethnicity, religion, sex, national origin, age, ancestry, disability, status as a veteran, sexual orientation, marital status, parental status, gender identity, gender expression, and genetic information in the university's programs and activities. Retaliation is also prohibited by university policy. The following persons have been designated to handle inquiries regarding the nondiscrimination policies and are the Title IX coordinators for their respective campuses: Director of the Office of Institutional Opportunity & Access, IOA@ku.edu , Room 1082, Dole Human Development Center, 1000 Sunnyside Avenue, Lawrence, KS 66045, 785-864-6414, 711 TTY (for the Lawrence, Edwards, Parsons, Yoder, and Topeka campuses); Director, Equal Opportunity Office, Mail Stop 7004, 4330 Shawnee Mission Parkway, Fairway, KS 66205, 913-588-8011, 711 TTY (for the Wichita, Salina, and Kansas City, Kansas medical center campuses). diff --git a/src/data/compiled_bios/4238.txt b/src/data/compiled_bios/4238.txt new file mode 100644 index 0000000000..186ad8ba23 --- /dev/null +++ b/src/data/compiled_bios/4238.txt @@ -0,0 +1 @@ + Matthew Moore E-mail: matthew.moore@ku.edu Office: Eaton 2034 and Nichols 135 Office Hours: Tuesdays 11 13, Thursdays noon 14, and by appointment The University of Kansas 2001 Eaton Hall 1520 West 15th Street Lawrence, KS 66045-7608 USA
Teaching Quantum Algorithms Past Courses Research Papers Recent Talks Structure and Complexity in Universal Algebra Universal Algebra Shanks Workshop Modified: 2019-01-15 diff --git a/src/data/compiled_bios/4239.txt b/src/data/compiled_bios/4239.txt new file mode 100644 index 0000000000..5cc4561b20 --- /dev/null +++ b/src/data/compiled_bios/4239.txt @@ -0,0 +1 @@ + j garrett morris about | teaching | publications | contact about me I am an assistant professor in the Department of Electrical Engineering and Computer Science and the Information and Telecommunications Technology Center at the University of Kansas . I am currently looking for motivated Ph.D. and Master's students interested in working in programming languages. If you think that might be you, please get in touch. My research centers on type systems for functional programming languages; in particular: How type system features, like substructural and session types, strengthen type safety guarantees; How class system features, like instances chains and functional dependencies, provide more expressive abstractions; and, How overloading mechanisms contribute to writing simple, correct code. Before arriving in Kansas, I was a researcher in the Laboratory for Foundations of Computer Science at the University of Edinburgh . I worked with Phil Wadler and Sam Lindley on the ABCD project, which studies the role of session types in safe concurrent and distributed programming, and contributed to the design and implementation of linear types and session types for the Links programming language . I received my Ph.D. from the computer science department at Portland State University , advised by Mark P. Jones . As part of the High Assurance Systems Programming project, I contributed to the design of the Habit programming language , particularly its class system, and to the development of the Habit compiler , particularly its typechecking and desugaring components. teaching EECS 662 (Programming languages): Fall 2017 , Spring 2019 EECS 665 (Compilers): Spring 2018 EECS 762 (Semantics): Fall 2018 publications J. Garrett Morris and James McKinna. "Abstracting Extensible Data Types; Or, Rows By Any Other Name." Proc. ACM Program. Lang. , 3, POPL (January 2019). To appear We present a novel typed language for extensible data types, generalizing and abstracting existing systems of row types and row polymorphism. Extensible data types are a powerful addition to traditional functional programming languages, capturing ideas from OOP-like record extension and polymorphism to modular compositional interpreters. We introduce row theories, a monoidal generalization of row types, giving a general account of record concatenation and projection (dually, variant injection and branching). We realize them via qualified types, abstracting the interpretation of records and variants over different row theories. Our approach naturally types terms untypable in other systems of extensible data types, while maintaining strong metatheoretic properties, such as coherence and principal types. Evidence for type qualifiers has computational content, determining the implementation of record and variant operations; we demonstrate this in giving a modular translation from our calculus, instantiated with various row theories, to polymorphic -calculus. The published version is available in PDF . Simon Fowler, Sam Lindley, J. Garrett Morris, and Sra Decova. "Exceptional Asynchronous Session Types: Session Types without Tiers." Proc. ACM Program. Lang. , 3, POPL (January 2019). To appear Session types statically guarantee that communication complies with a protocol. However, most accounts of session typing do not account for failure, which means they are of limited use in real applicationsespecially distributed applicationswhere failure is pervasive. We present the first formal integration of asynchronous session types with exception handling in a functional programming language. We define a core calculus which satisfies preservation and progress properties, is deadlock free, confluent, and terminating. We provide the first implementation of session types with exception handling for a fully-fledged functional programming language, by extending the Links web programming language; our implementation draws on existing work on effect handlers. We illustrate our approach through a running example of two-factor authentication, and a larger example of a session-based chat application where communication occurs over session-typed channels and disconnections are handled gracefully. As published [ PDF ], and the extended version [ PDF ]. Jack Williams, J. Garrett Morris and Philip Wadler. "The Root Cause of Blame: Contracts for Intersection and Union Types". Proc. ACM Prog. Lang. 2, OOPSLA (October 2018). To appear. Gradual typing has emerged as the tonic for programmers wanting a mixture of static and dynamic typing, hoping to achieve the best of both. Sound gradual typing is the most potent brew, providing static type- checking and dynamic assertions. Contracts provide a lightweight form of gradual typing as they do not provide static checking but can be implemented as a library, rather than demanding language level support. Intersection and union types are well suited to dynamic languages: intersection encodes overloaded functions; union encodes uncertain data arising from branching code. We extend the untyped lambda calculus with contracts for monitoring higher-order intersection and union types, giving a uniform treatment to both. Each operator requires a single reduction rule that does not depend on the constituent types, or the context of the operator, unlike existing work. We present a new method for defining contract satisfaction based on blame behaviour. A value positively satisfies a type if, when monitored against that type in any context, never elicits positive blame. A continuation negatively satisfies a type if, when monitored against that type using any value, never elicits negative blame. We supplement our definition of satisfaction with a serious of monitoring properties that satisfying values and continuations should have. Each type has a positive property for values and a negative property for continuations, ensuring that contracts reflect the types they represent. The conference version is available in PDF. J. Garrett Morris and Richard A. Eisenberg. "Constrained Type Families". Proc. ACM Prog. Lang. 1, ICFP, Article 42 (August 2017). We present an approach to support partiality in type-level computation without compromising expressiveness or type safety. Existing frameworks for type-level computation either require totality or implicitly assume it. For example, type families in Haskell provide a powerful, modular means of defining type-level computation. However, their current design implicitly assumes that type families are total, introducing nonsensical types and significantly complicating the metatheory of type families and their extensions. We propose an alternative design, using qualified types to pair type-level computations with predicates that capture their domains. Our approach naturally captures the intuitive partiality of type families, simplifying their metatheory. As evidence, we present the first complete proof of consistency for a language with closed type families. Extended edition available in PDF . The conference version is available from the ACM DL , or in PDF . Jack Williams, J. Garrett Morris, Philip Wadler, and Jakub Zalewski. "Mixed Messages: Measuring Conformance and Non-Interference in TypeScript". 31st European Conference on Object-Oriented Programming, {ECOOP} 2017, LIPIcs 74, Schloss Dagstuhl - Leibniz-Zentrum fr Informatik, 2017. TypeScript participates in the recent trend among programming languages to support gradual typing. The DefinitelyTyped Repository for TypeScript supplies type definitions for over 2000 popular JavaScript libraries. However, there is no guarantee that implementations conform to their corresponding declarations. We present a practical evaluation of gradual typing for TypeScript. We have developed a tool, based on the polymorphic blame calculus, for monitoring JavaScript libraries and TypeScript clients against the TypeScript definition. We apply our tool, TypeScript TNG, to those libraries in the DefinitelyTyped Repository which had adequate test code to use. Of the 122 libraries we checked, 59 had cases where either the library or its tests failed to conform to the declaration. Gradual typing should satisfy non-interference. Monitoring a program should never change its behaviour except, to raise a type error should a value not conform to its declared type. However, our experience also suggests serious technical concerns with the use of the JavaScript proxy mechanism for enforcing contracts. Of the 122 libraries we checked, 22 had cases where the library or its tests violated non-interference. Available in PDF . J. Garrett Morris. "The Best of Both Worlds: Linear Functional Programming Without Compromise". In Proceedings of the 21st ACM SIGPLAN International Conference on Functional Programming (ICFP 2016) , Nara, Japan, 2016. We present a linear functional calculus with both the safety guarantees expressible with linear types and the rich language of combinators and composition provided by functional programming. Unlike previous combinations of linear typing and functional programming, we compromise neither the linear side (for example, our linear values are first-class citizens of the language) nor the functional side (for example, we do not require duplicate definitions of compositions for linear and unrestricted functions). To do so, we must generalize abstraction and application to encompass both linear and unrestricted functions. We capture the typing of the generalized constructs with a novel use of qualified types. Our system maintains the metatheoretic properties of the theory of qualified types, including principal types and decidable type inference. Finally, we give a formal basis for our claims of expressiveness, by showing that evaluation respects linearity, and that our language is a conservative extension of existing functional calculi. The extended edition is available in PDF . Note that this version fixes several inadvertent omissions and typographical errors, and so should be preferred to the conference version. The conference version is available from the ACM DL . Sam Lindley and J. Garrett Morris. "Talking Bananas: Structural Recursion for Session Types". In Proceedings of the 21st ACM SIGPLAN International Conference on Functional Programming (ICFP 2016) , Nara, Japan, 2016. Session types provide static guarantees that concurrent programs respect communication protocols. We give a novel account of recursive session types in the context of GV, a small concurrent extension of the linear -calculus. We extend GV with recursive types and catamorphisms, following the initial algebra semantics of recursion, and show that doing so naturally gives rise to recursive session types. We show that this principled approach to recursion resolves long-standing problems in the treatment of duality for recursive session types. We characterize the expressiveness of GV concurrency by giving a CPS translation to (non-concurrent) -calculus and proving that reduction in GV is simulated by full reduction in -calculus. This shows that GV remains terminating in the presence of positive recursive types, and that such arguments extend to other extensions of GV, such as polymorphism or non-linear types, by appeal to normalization results for sequential -calculi. We also show that GV remains deadlock free and deterministic in the presence of recursive types. Finally, we extend CP, a session-typed process calculus based on linear logic, with recursive types, and show that doing so preserves the connection between reduction in GV and cut elimination in CP. Available in PDF or from the ACM DL . Sam Lindley and J. Garrett Morris. "Embedding Session Types in Haskell". In Proceedings of the 9th International Symposium on Haskell (Haskell 2016) , Nara, Japan, 2016. We present a novel embedding of session-typed concurrency in Haskell. We extend an existing HOAS embedding of the linear -calculus with a set of core session-typed primitives, using indexed type families to express the constraints of the session typing discipline. We give two interpretations of our embedding, one in terms of GHC's built-in concurrency and another in terms of purely functional continuations. Our safety guarantees, including deadlock freedom, are assured statically and introduce no additional runtime overhead. Paper available in PDF or from the ACM DL . See the source code on Github . Robert Atkey, Sam Lindley, and J. Garrett Morris. "Conflation Confers Concurrency". In A List of Successes That Can Change the World: Essays Dedicated to Philip Wadler on the Occasion of His 60th Birthday . LNCS 9600. Session types provide a static guarantee that concurrent programs respect communication protocols. Recent work has explored a correspondence between proof rules and cut reduction in linear logic and typing and evaluation of process calculi. This paper considers two approaches to extend logically-founded process calculi. First, we consider extensions of the process calculus to more closely resemble -calculus. Second, inspired by denotational models of process calculi, we consider conflating dual types. Most interestingly, we observe that these approaches coincide: conflating the multiplicatives ( and ) allows processes to share multiple channels; conflating the additives ( and &) provides nondeterminism; and conflating the exponentials (! and ?) yields access points, a rendezvous mechanism for initiating session typed communication. Access points are particularly expressive: for example, they are sufficient to encode concurrent state and general recursion. Available from Springer or in PDF . J. Garrett Morris. "Variations on Variants". In Proceedings of the 2015 ACM SIGPLAN Symposium on Haskell , Vancouver, BC. Extensible variants improve the modularity and expressiveness of programming languages: they allow program functionality to be decomposed into independent blocks, and allow seamless extension of existing code with both new cases of existing data types and new operations over those data types. This paper considers three approaches to providing extensible variants in Haskell. Row typing is a long understood mechanism for typing extensible records and variants, but its adoption would require extension of Haskell's core type system. Alternatively, we might hope to encode extensible variants in terms of existing mechanisms, such as type classes. We describe an encoding of extensible variants using instance chains, a proposed extension of the class system. Unlike many previous encodings of extensible variants, ours does not require the definition of a new type class for each function that consumes variants. Finally, we translate our encoding to use closed type families, an existing feature of GHC. Doing so demonstrates the interpretation of instances chains and functional dependencies in closed type families. One concern with encodings like ours is how completely they match the encoded system. We compare the expressiveness of our encodings with each other and with systems based on row types. We find that, while equivalent terms are typable in each system, both encodings require explicit type annotations to resolve ambiguities in typing not present in row type systems, and the type family implementation retains more constraints in principal types than does the instance chain implementation. We propose a general mechanism to guide the instantiation of ambiguous type variables, show that it eliminates the need for type annotations in our encodings, and discuss conditions under which it preserves coherence. Paper available from the ACM DL or in PDF . Sample code available here . Sam Lindley and J. Garrett Morris. "A Semantics for Propositions as Sessions". ESOP 2015. Session types provide a static guarantee that concurrent programs respect communication protocols. Recently, Caires, Pfenning, and Toninho, and Wadler, have developed a correspondence between propositions of linear logic and session typed -calculus processes. We relate the cut-elimination semantics of this approach to an operational semantics for session-typed concurrency in a functional language. We begin by presenting a variant of Wadler's session-typed core functional language, GV. We give a small-step operational semantics for GV. We develop a suitable notion of deadlock, based on existing approaches for capturing deadlock in -calculus, and show that all well-typed GV programs are deadlock-free, deterministic, and terminating. We relate GV to linear logic by giving translations between GV and CP, a process calculus with a type system and semantics based on classical linear logic. We prove that both directions of our translation preserve reduction; previous translations from GV to CP, in contrast, failed to preserve -reduction. Furthermore, to demonstrate the modularity of our approach, we define two extensions of GV which preserve deadlock-freedom, determinism, and termination. Available from Springer or in PDF . J. Garrett Morris. "A Simple Semantics of Haskell Overloading". In Proceedings of the 2014 ACM SIGPLAN Symposium on Haskell , Gothenburg, Sweden. As originally proposed, type classes provide overloading and ad-hoc definition, but can still be understood (and implemented) in terms of strictly parametric calculi. This is not true of subsequent extensions of type classes. Functional dependencies and equality constraints allow the satisfiability of predicates to refine typing; this means that the interpretations of equivalent qualified types may not be interconvertible. Overlapping instances and instance chains allow predicates to be satisfied without determining the implementations of their associated class methods, introducing truly non-parametric behavior. We propose a new approach to the semantics of type classes, interpreting polymorphic expressions by the behavior of each of their ground instances, but without requiring that those behaviors be parametrically determined. We argue that this approach both matches the intuitive meanings of qualified types and accurately models the behavior of programs. Available from the ACM DL or in PDF . Sam Lindley and J. Garrett Morris. "Sessions as Propositions". In PLACES 2014. Recently, Wadler presented a continuation-passing translation from a session-typed functional language, GV, to a process calculus based on classical linear logic, CP. However, this translation is one-way: CP is more expressive than GV. We propose an extension of GV, called HGV, and give translations showing that it is as expressive as CP. The new translations shed light both on the original translation from GV to CP, and on the limitations in expressiveness of GV. Available from arXiv or in PDF . J. Garrett Morris. Type Classes and Instance Chains: A Relational Approach. PhD thesis, Portland State University, 2013. Type classes, first proposed during the design of the Haskell programming language, extend standard type systems to support overloaded functions. Since their introduction, type classes have been used to address a range of problems, from typing ordering and arithmetic operators to describing heterogeneous lists and limited subtyping. However, while type class programming is useful for a variety of practical problems, its wider use is limited by the inexpressiveness and hidden complexity of current mechanisms. We propose two improvements to existing class systems. First, we introduce several novel language features, instance chains and explicit failure, that increase the expressiveness of type classes while providing more direct expression of current idioms. To validate these features, we have built an implementation of these features, demonstrating their use in a practical setting and their integration with type reconstruction for a Hindley-Milner type system. Second, we define a set-based semantics for type classes that provides a sound basis for reasoning about type class systems, their implementations, and the meanings of programs that use them. Available in PDF . J. Garrett Morris and Mark P. Jones. "Instance Chains: Type Class Programming Without Overlapping Instances." In Proceedings of the 15th ACM SIGPLAN International Conference on Functional Programming (ICFP '10) , Baltimore, Maryland. 2010. Type classes have found a wide variety of uses in Haskell programs, from simple overloading of operators (such as equality or ordering) to complex invariants used to implement type-safe heterogeneous lists or limited subtyping. Unfortunately, many of the richer uses of type classes require extensions to the class system that have been incompletely described in the research literature and are not universally accepted within the Haskell community. This paper describes a new type class system, implemented in a prototype tool called ilab , that simplifies and enhances Haskell-style type-class programming. In ilab , we replace overlapping instances with a new feature, instance chains , allowing explicit alternation and failure in instance declarations. We describe a technique for ascribing semantics to type class systems, relating classes, instances, and class constraints (such as kind signatures or functional dependencies) directly to a set-theoretic model of relations on types. Finally, we give a semantics for ilab and describe its implementation. Available from the ACM DL or in PDF . J. Garrett Morris. "Experience Report: Using Hackage to Inform Language Design." In Proceedings of the 3rd ACM Symposium on Haskell (Haskell '10) , Baltimore, Maryland. Hackage, an online repository of Haskell applications and libraries, provides a hub for programmers to both release code to and use code from the larger Haskell community. We suggest that Hackage can also serve as a valuable resource for language designers: by providing a large collection of code written by different programmers and in different styles, it allows language designers to see not just how features could be used theoretically, but how they are (and are not) used in practice. We were able to make such a use of Hackage during the design of the class system for a new Haskell-like programming language. In this paper, we sketch our language design problem, and how we used Hackage to help answer it. We describe our methodology in some detail, including both ways that it was and was not effective, and summarize our results. Available from the ACM DL or in PDF . Some of these papers are copyright ACM. These are the author's versions of the work. They are posted here by permission of ACM for your personal use. Not for redistribution. Please see each paper for the location of the definitive version. contact information email garrettm@ku.edu (general) garrett@ittc.ku.edu (research-related) postal mail 2028 Eaton Hall 1520 W 15th St Lawrence, KS 66045 253 Nichols Hall 2335 Irving Hill Rd Lawrence, KS 66045 telephone (785) 864-8825 (785) 864-7968 diff --git a/src/data/compiled_bios/424.txt b/src/data/compiled_bios/424.txt new file mode 100644 index 0000000000..c586d8158b --- /dev/null +++ b/src/data/compiled_bios/424.txt @@ -0,0 +1 @@ +CHNG Eng Siong I am currently an Associate Professor in the School of Computer Science and Engineering SC SE , Nanyang T echnological University (NTU), Singapore. Concurrently , I am Asst Chair of Graduate Students for SCSE since Jan 2019. Prior to joining NTU in 2003, I worked in: Knowles Electronics (2001-2002), Lernout and Hauspie (1999-2000,Belgium), Institute of Infocomm Research (1996-1999,I2R, Singapore), and RIKEN (1996,Japan). I received both BEng (Hons) and PhD from Edinburgh University , U.K. in 1991 and 1996 respectively . My PhD was supervised by Bernard Mulgrew , P eter Grant and Chen Sheng . My area of focus is in speech research and signal processing. T o date, I have been Principal Investigator of several research grants awarded by NTU-R olls R oyce, Mindef , MOE and AStar with a total funding amount of over S $9 million under the Speech and Language R esearch Group at SCSE. I have supervised 11 PhD students and 6 Masters Engineering students. My publications include 2 edited books and over 100 journal/conference papers. What Google and Microsoft say about me. I have served as the publication chair for 5 international conferences (Human Agent Interac- tion 2016, INTERSPEECH 2014, APSIP A-2010, APSIP A-2011, ISC SLP -2006), and have been an associate editor for IEICE (special issue 2012), a reviewer for Speech Communications, Eupsico, IEEE T rans Man,System and Cybernectics P art B, Journal of Signal Processing System, ACM Multimedia Systems, IEEE T rans Neural Network, IEEE T rans CAS-II, and Signal Processing. I was the recipient of the T an Chin T uan fellowship (2007) to visit T singhua University , the JSPS travel grant award (2008) to visit T okyo Institute of T echnology , and the Merlion Singapore-France research collaboration award in 2009. Publications 1. Google scholar 2. R esearcherid 3. Microsoft Academic V isited by: ClustrMap details Address: Blk N4, 02c-96, Nanyang A venue. School of Computer Science and Engineering. Nanyang T echnological University , Singapore 639798 MapLink Q: how to get to NTU? Q: Nearest carpark to N4? Contact: Email: aseschng at ntu dot edu dot sg T el : +65-6790-6200 F ax: +65-6792-6559 last updated: Jan 2019 Speech & L anguage R esearch Group The speech and language research group in SC SE was founded in 2007 by Chng Eng Siong and Prof Li Haizhou (now in NUS, Singapore). Our group is now situated within Media & Interactive Computing Lab (formely MML) in SCSE. The focus of our research group is in the area of speech and language research. W e are currently working in the following areas: 1. Code-switch speech recognition 2. R obust Large vocabulary continuous speech recognition and Keyword spotting 3. Speech and feature enhancement 4. Speaker identication 5. V oice conversion (morphing) 6. T owards Speech Understanding (ChatBot) - some aspects of NLP such as topic detection, name entity recognition Demos 1. Y outube recordings: Our code-switch speech recognition in action: R ecognizing English/Mandarin code-switch speech using our L VC SR system (2018 June) and Comparing our system against Google, Siri (2018 Sep) 2. Source separation - Separating Hillary Clinton and T rump voice from Y outube recording demo slide (Oct 2018)- PhD QE report here . Collaborators 1. Prof Xie Lei , Northwestern P olytechnic, Xian, China 2. Dr Ma Bin , Alibaba - robust ASR 3. Dr Raphael Banchs , AStar , I2R - dialogue ChatBot Current Staff/Students Current staff member: 1. Dr Xu Hauhua : robust L VC SR, keyword spotting 2. Ho Thi Nga : speech indexing and SUD, , part-time MEng. 3. Xu Chenglin : part-time PhD, Qualifying Exam (Oct2018) Single Channel Multi-talker Speech Separation with Deep Learning and Slides 4. Lim Zhi Hao : speaker verication, part-time PhD. 5. K yaw Zin T un : speech indexing and chatBot 6. Ly V u Thi : speech indexing and chatBot 7. Ho Danyuan : corpus development and linguistic. 8. Zeng Zhiping : L VC SR The current full time PhD students of our team are: 1. Phan V an T ung : keyword spotting 2. Khassan Y erbolat : language model adaptation 3. Hou Nana : robust L VC SR for air trafc control speech The current part time graduate students of our team are: 1. P aul Chan Y aozhu : Synthesis of the human singing voice (partTime PhD) 2. Li ZhongW ei : Name and Digit Entity Recognition for simultaneous translation (partT ime PhD) P ast PhD Students 1. Chong Tze Y uang : PhD thesis (2018), Slides Exploiting Long Context Using Joint Distance and Occurrence Information for Language Modeling. now at AStar 2. Nguyen Duc Hoang Ha , PhD (2017), PhD -Slides , F eature based robust techniques for speech recognition. now in V ietnam. 3. Nguyen T rung Hieu , PhD (2015), Speaker Diarization in Meeting room domain. Now at Alibaba 4. Do V an Hai PhD (2015), Acoustic modelling of speech under limited training data condition. Now in V ietnam T elecoms. 5. W u Zhizheng PhD (2015), Spectral Mapping for V oice Conversion. Now in Apple. 6. Jonathan Dennis PhD (2014) PhD Slides , now in Green R unnning-Data Scientist 7. W ang Lei , PhD (2013), Audio P attern Discovery and retrieval. Now at AStar . 8. T ong Rong , PhD (2012), T owards a high performance phonotactic features for spoken language recognition. Now at Alibaba. 9. Omid Dehzanghi , PhD (2012), Discriminative Learning for speech recognition. Now in U Michigan. 10. Xiao Xiong , PhD (2010), R obust speech features and acoustic models for speech recognition. PhD QE (2006). Now in Microsoft, R edmond - since Apr 2017 11. W ang Jinjun , PhD (2008), Content based sports video analysis and composition. Now in Xian Jiaotong P ast MEng Student 1. Leow Sujun : (MEng 2018), Image Processing T echnique for Speech Signal Processing 2. Nguyen Quy Hy , (MEng 2017), V oice conversion using DNN 3. Steven Du , (MEng 2015), R obust Front End for Speaker V erication 4. T errence Ng W en Zheng , MEng (2014), Sound Event recognition in home environment, now in AStar . 5. Chen W enda (MEng 2014), Computer Assisted Language Learning, now PhD student in UIUC. 6. Ben Pham Chau Khoa , MEng (2012), now in Microsoft 7. Eugene Koh, (MEng 2009), Speaker Diarization of News Broadcasts and Meeting R ecordings. P ast Staff 1. Tian XiaoHai : T TS and voice morphing, part-time PhD and Staff , 2013-2018. Now in NUS. 2. Rao W ei : speaker verication, 2015-2018, Now in NUS. 3. XiaoXiong , PhD Student 2004-2008, Staff 2008-2017, Now in Microsoft, R edmond - since Apr 2017 4. Benjamin Bigot ,2014-2016 - L VC SR for RR 5. Huang Guangpu, Staff 2012-2015 - Articulatory Phonetics F eatures 6. Lyu Daucheng , 2009-2013 - Code switch L VCSR 7. Zhao Shengkui , 2009-2010 - Microphone array and beamforming. P ast Interns (incomplete) 1. Interns from 2018: Picture of the student group taken Jan 2018 and picture - May 2018 and picture - July 2018 , as well as picture - Oct 2018 2. Interns from 2017: India and SPMS (2017 May-July) : Picture of the student group and Gangeshwar Krishna- murthy , Undergraduate from Bangalore Institute of T echnology , Bengaluru, India,Jan - April 2017, sentence unit detection and Gao Shengheng , Undergraduate from University P aul Sabatier (T oulouse III), Mar-Jun 2016, NLP -topic detection. Note: if you have been a past intern and wish to be included in above list, do send me a linkedin acccount id, when you were here, and from which college were you at when you were here. Will be great to have you in the list. F undings T otal F unding: > S$8.5 million 1. July 2018- July 2021, Alibab-NTU Singapore joint lab - Code-switch speeech recognition (Amount S$272K + 2 PhD students (approx S$450K)) , PI 2. Jan 2018 - Dec 2020, Project Malvin, Mindef , Amount: S$600K, PI 3. Jul 2017 - Jul 2021, Project Creton, Mindef , Amount: S$780K, PI-T rack2 4. Nov 2016 - Nov 2018, Project Acumon, Mindef , Amount: S$560K, PI 5. Jan 2016 1 RSS from A TMRI-NTU for PhD student Hou Nana, R obust ASR for very noisy speech in air-trafc control domain, (Amount:S$200K) A TMRI-NTU, PI 6. Jun 2014 - Jun 2017, Project Maison: Robust Speaker V erication And Keyword Spotting, DSO M4061477, Amount: S$2.2 million, PI. 7. Mar 2014 - Jul 2018, RT1.2: Smart Visual Analytics of unconventional data NRF & Rolls R oyce Project, Amount: S$777K, PI 8. Mar 2014 - Jul 2018, R T1.1: Smart Knowledge Discovery from unconventional data, NRF & R olls R oyce, Amount: S$872K (75%-PI), PI 9. Apr 2013 - Apr 2015, Development of Linguistic R esources and L VC SR for Southeast Asia Languages on KALDI platform (DeKALDI) AStar , S$124,800, PI 10. Sep 2011 - Aug 2014, Audio Mining Broadcast News, DST A: M4060890.683, S$500K, PI 11. Jan 2010 - Dec 2011, Merlion 2009, MultiLing, French Embassy (Singapore), S$30K, PI 12. July 2010 - Jun 2012, Speech R e cognition for Code-switch Conversational Speech, T emasek Lab@NTU, ProjectID: M48680100, Amount: S$200K, PI 13. Mar 2010 - F eb 2012, A pilot study of a Computer Assisted Pronunciation Evaluation (CAPE) system for English learners in Singapore, MOE Tier 1 ProjectID: M52020089, Amount: S$190K, PI-Chng Eng Siong, Co-PI: T an Y ing Ying 14. Nov 2009-Oct 2010, Malay T ext-to-Speech Synthesis Astar ProjectID: M48020073, Amount: S$90K 15. Nov 2009 - Oct 2011, A Microphone Array with a 3-dimensional conguration for the I2R social robot, AStar ProjectID: M48020074, Amount: S$200,400 16. Dec 2008, Attachment to T okyo Institute of T echnology , Japan to visit Prof S. Furui Lab for exchange in speech research, NTU/NUS-JSPS New Scientic Exchange Programme (NSEP). Amount: S$3K, PI 17. Sep 2008 - Mar 2010, Statistical Language Modeling for spoken document retrieval Astar ProjectID: M48020061, Amount: S$240K, PI 18. Apr 2008 - Oct 2008, Speech Channel Modelling & Classication, Astar ProjectID: M48020050, Amount: S$108K, PI 19. Mar 2008 - F eb 2013 Advanced Research in Automatic Speech R ecognition, T emasek Lab@NTU , ProjectID: M48680101, Amount: S$1 million, PI: Li Haizhou, Co-PI: Chng Eng Siong 20. Jan 2008 - Jun 2008 R obust Speech Signal Acquisition and Enhancement, AStar ProjectID: M48020049, Amount: S$72,000, PI. 21. Dec 2007 - Dec 2009 Micro-eBlock: A scalable microcomputer peripheral system for tertiary level micro-controller education, MOE & NTU & Renesas, Amount: S$313,572, ProjectID: M20440011, Co-Principal Investigators: Chng Eng Siong & T an Su Lim 22. Jun - July 2007, T an Chin T uan F ellowship. Attachment to T singhua University , Beijing, China, Amount: S$6000 PI. 23. Jun 2007 - Jun 2008, Speech Data Collection T echnology for R obotic Dialog Application Astar ProjectID, M48020040, Amount: S$69,920, PI. 24. July 2006, ROAR 2006 A ward, 1 PhD studentship, NTU A ward: Approx S$100K, PI. 25. F eb 2007 - F eb 2008, Supplementary Equipment Purchase, Digital Signal Processing for V oice Enhancement R ecognition and Search, NTU A ward: ProjectID:: M52020057, Project Ref number: RG129/06, Amount: S$39,440, PI. 26. Mar 2006-Mar 2007, Development of Speaker turn library for I2R AStar , Project ID: M48020025, Amount: S$70,000, PI. 27. Sep 2004- July 2010, Digital Signal Processing for V oice Enhancement, Recognition & Search: AStar G/L Acct: 500360, Amount: S$138,000, PI. 28. Oct 2004 - Mar 2005, Summarization of proceedings in a Smart Meeting R ooms for AStar Thematic Pilot project, AStar M47020015, SERC grant number: 0421110063, Amount: S$21,000 Chng Eng Siong & Deepu Rajan 29. Jun 2003 - Jun 2004, Collaborative acoustic sensor for a smart meeting room application. NTU, SCE CE-SUG- 01/03 Amount: S$14,600, PI 30. Dec 2003 - Jan 2004, 2 months, Overseas A ttachment programme to University of Southampton, Dept of ECE. Attachment to Prof Sheng Chen AStar A ward, Amount: S$3600, PI T eaching Some interesting read 1. Karpathys writing on "A survival guide to a PhD" - link 2. Karpathys "Doing well in a course" - link Advice T o W riting This section describes my take in how you can organize your thesis, nal year report, etc. F or PhD Students, my suggestion is that the structure is the most important aspect, and you should aim to get that right rst. E.g, you can write a series of questions to drive the report, and with the questions, write a power point (which provide more contents) towards answering the questions, and then nally the report. Y ou can have a look at 1. Chongs question and power point slide as an example. 2. Khassans writing and his question . I have other tips about writing thesis: word document (last updated: March 2016) and the mindmap Undergraduate FYP W riting Advice/Example: An example here T ools for W riting Please use latex for your writing - it will help a lot! In windows you have miktex . Y ou can get a host of templates here. My editor of choice is T exStudio - but ask Quora for the latest answer . Please see what Jonh Dennis had used to write his thesis. tip on tools he used for writing thesis. Y ou can start with using Xiao Xiongs latex PhD thesis template. W riting Advice from Others 1. Professor Simon P eyton Jones (Cambridge) - How to write a Great R esearch P aper Y outube 2. Judy Swan (Princeton) - Scientic W riting youtube 3. Kristin Sainani - writing for the sciences youtube 4. Steve Easterbrook - how thesis get written. F inal Y ear Project Advise 1. See FYP Presentation (2017-Dec) by R onald - From an Image to a Close Caption Y outube T aught Courses 1. CPE3007 - Digital Signal Processing (Since 2013): V ideos for this subject by me (2018): Y ouT ube link Some code samples for DSP python (2018) by me. Github link 2. CPE414/ES6105 DSP (2005-9) 3. CPE3006 - Digital Communications (since Jan 2016 - 2017) 4. CPE206 - Micro-controller Systems Design (2004-2009) 5. Maths1 - (tut-2018 Jan) Some relevant E-L earning V ideos 1. Speech R ecognition - WFST (a) W eighted Finite State T ransducer - Y ouT ube - link produced by Lim Zhi Hao (Masters Student of our lab) in 2015 2. Undergraduate Algebra and Analysis (a) Essence of Linear Algebra by 3Blue1Brown - for undergraduate, an intutive understanding, Y outube - link (b) Essence of Calculus by 3Blue1Brown - for undergraduate, an intutive understanding, Y outube - link (c) P etra Bonfert- T aylors lectures - Analysis of a Complex Kind Y outube - link 3. Graduate classes: (a) Ole Chirstensen lectures - Hilbert Space link (b) Fredric Schullers lectures - Hilbert Space and such Y outube - link diff --git a/src/data/compiled_bios/4240.txt b/src/data/compiled_bios/4240.txt new file mode 100644 index 0000000000..e84260e3f3 --- /dev/null +++ b/src/data/compiled_bios/4240.txt @@ -0,0 +1 @@ + CReSIS Signal and Data Processing Group CReSIS Signal and Data Processing Group 2018 (missing Jilu Li and Manjish Adhikari). The Center for Remote Sensing of Ice Sheets (CReSIS) Signal and Data Processing Group focuses on research for new processing algorithms as well as designing, developing, and operating processing pipelines for radar data collected by the research center. We have an opening for a graduate research assistant in signal and image processing starting in fall 2018 (through fall 2022 at least). If you are interested in graduate work in the areas of array, radar, or image processing, please let us know. Faculty and Staff: John Paden Associate Scientist Courtesy appointment with Electrical Engineering and Computer Science department Nichols Hall , Room 325 2335 Irving Hill Rd Lawrence, KS 66045 785-864-1692 My research focuses on HF to Ka-band signal/data processing and radar system engineering for remote sensing of terrestrial snow and ice (non-atmospheric). Direction of arrival estimation applied to SAR (SAR tomography) and optimization, machine learning and image processing applied to radar imaging are my current areas of interest in this field. [ Dissertation | Resume | Google Scholar | Research Gate ] Jilu Li Assistant Research Professor Courtesy appointment with Electrical Engineering and Computer Science department Nichols Hall , Room 326 2335 Irving Hill Rd Lawrence, KS 66045 785-864-1692 Students: Anjali Devanand Pare CS BS Brandon Randolph EE BS Gordon Ariho EE PhD Hara Talasila EE PhD Ibikunle Oluwanisola EE PhD Jordan Sprick EE MS Mohanad Ahmed Abdulkareem Al-Ibadi EE PhD Manjish Adhikari EE MS Rohan Choudhari CS BS Victor Luiz Berger Pereira Da Silva CS MS Previous Students: CReSIS Signal and Data Processing Group 2017. Abbey Whisler (Pope) Geo BS: Garmin Aqsa Patel EE PhD 2016: Research Engineer at GE Global Research Center in Niskayuna, NY Aric Beaver EE BS: On Semiconductor Brady Maasen EE BS: On Semiconductor Haiji Wang EE BS: Rice University MS Hara Talasila EE MS 2017 Isaac Tan EE PhD: Eaton - Lighting James Coll Geo MS Joe Lilek Geo BS: American Geosciences Institute in Virginia Julia Guard Geo BS Kelly Rodriguez EE BS Kyle Purdon Geo MS: Bitly Logan Smith EE MS 2014 Onobeoghene Emmanuel Oghenekaro EE BS Sahana Raghunandan EE MS 2013 Sam Buchanan EE BS: Columbia University PhD Santosh Malyala EE MS 2017 Sean Holloway EE BS: Columbia University MS Shane Kuei-Hsien Chu CS BS 2018 Solomon Shiferaw Abera EE BS Sravya Athinarapu EE MS 2018: Hardware Development Engineer at Optimum Semiconductor Technologies Inc. Steven Foga EE BS: Geospatial Developer Polar Geospatial Center Theresa Stumpf EE MS 2015: JH APL Trey Stafford Geo BS: NSIDC Weibo Liu Geo PhD: Geography faculty Florida Atlantic University Yi Zhu EE MS 2014 Projects CReSIS Radar Data Processing Pipeline: We have collected about 1 PB of data as of 2016 and are adding about 100 TB per year. There are four radar sensors, each configurable and being updated periodically. The code is primarily written in Matlab and C. The pipeline is driven by parameter spreadsheets that allow large batches of jobs to be scheduled in a single shot. We use a custom Torque Scheduler interface on three clusters (128 core, 1840 core, and remote-field-configurable cluster 32-96 core) for most of the processing. The system includes support for stepped-chirped, deramp on receive, and regular directly sampled radars. The pipeline includes GPS alignment, metadata tracking, pulse compression, deconvolution, RFI suppression, SAR processing, and space-time array processing. We are using and developing this toolbox and data in collaboration with: Alfred Wegener Institute University of Washington Applied Physics Laboratory Stanford University Radio Glaciology Indiana University at Bloomington and SPIDAL University of Columbia Lamont-Doherty Earth Observatory , University of Copenhagen Center for Ice and Climate Texas A&M University-Corpus Christi Links to use data and software: Toolbox: CReSIS Software Radar Data: CReSIS Data Website Field work and data processing for NSF projects and NASA Operation IceBridge Multichannel Coherent Radar Depth Sounder (MCoRDS), Snow Radar, Ku-band Altimeter, and Accumulation Radar on a variety of aircraft including CReSIS built UAVs as well as some ground based radar work. SAR Active Target and Multistatic Receiver for ultra wideband radar system: to be used for array and radiometric calibration and as portable radar system. Interested in hiring student with strong Verilog and C++ experience. Tomography/interferometry/3D imaging We have three projects, SPIDAL , Operation IceBridge , and Stability and Dynamics of Antarctic Marine Outlet Glaciers , working on 3D imaging. We will also have an NSF Research Experiences for Undergraduates (REU) award available for most summers on this project. Please contact me if you are an undergraduate student interested in applying for this opportunity. Only US Citizens and permanent residence may participate. Ice sheet basal conditions (studying properties of radar scattering signal) NASA New Investigator Project. Global Hawk Snow Thickness Estimation Radar This is a project to develop a 2-18 GHz FMCW radar for the NASA Global Hawk UAVs. The first planned deployment is on the NASA P-3 during the Spring 2017 OIB campaign. Geographic information system for CReSIS radar data Actively working on the Open Polar Server which is an open source system for storing sounding radar data that is hosted on Github. Internal layer SAR processor We are working on this as part of SPIDAL . Ice sheet dielectrics and geophysical parameters (interest in CMP measurements and other methods for recovering geophysical properties of the ice) We are collaborating with several external groups on this work. Ku-band altimetry and interpretation of satellite altimeter data We are working on a proposal to continue previous work on this. Thickness and other properties of snow on sea and land ice We are working on this as part of NASA Operation IceBridge From an old friend Pannirselvam Kanagaratnam: ON THIS DAY "Mend a quarrel. Search out a forgotten friend. Dismiss suspicion and replace it with trust. Share some treasure. Give a soft answer. Encourage youth. Manifest your loyalty in a word or deed. Keep a promise. Find the time. Forego a grudge. Forgive an enemy. Listen. Apologize if you were wrong. Try to understand. Flout envy. Examine your demands on others. Think first of someone else. Appreciate, be kind, be gentle. Laugh a little more. OM OM OM" Sri Swami Chidanandaji Maharaj diff --git a/src/data/compiled_bios/4241.txt b/src/data/compiled_bios/4241.txt new file mode 100644 index 0000000000..602257de1e --- /dev/null +++ b/src/data/compiled_bios/4241.txt @@ -0,0 +1 @@ + Skip to main content The University of Kansas myKU Email Blackboard Enroll & Pay KU Directory A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All Academics Athletics Your browser must support JavaScript to view this content. Please enable JavaScript in your browser settings then try again. Your browser must support JavaScript to view this content. Please enable JavaScript in your browser settings then try again. Your browser must support JavaScript to view this content. Please enable JavaScript in your browser settings then try again. 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Giving Tech Help Menu Home About Chair's Message Vision & Mission Academic Experience Prospective Students Overview Disciplines Undergraduate Programs Academic Experience Degree Requirements Scholarship & Tuition Admissions Degree Accreditation Graduate Programs Master's Program Ph.D. Programs Research Clusters Applied Electromagnetics Communications Systems Computational Science and Engineering Computer Systems Design Computing in the Biosciences Data Science and Engineering IT Project Management Languages and Semantics Network Engineering Network Systems Radar Systems and Remote Sensing RF Systems Engineering Cyber Security Signal Processing Software Engineering Theory of Computing Graduate Funding Cybersecurity Graduate Certificate Data Science and Engineering Software Engineering and Management Certificate RF Systems Engineering Graduate Certificate Facilities Current Students Overview New Students Undergraduate Graduate Undergraduate Students Graduate Students Master's Programs Ph.D. Programs Research Clusters Defense Notices Cybersecurity Graduate Certificate Data Science Graduate Certificate Software Engineering and Management Certificate RF Systems Engineering Graduate Certificate EECS Courses Facilities Research Facilities Facilities Location EECS Workstation Software Eaton Hall Map EECS Shop Faculty & Staff Faculty Chairpersons Administrative Staff Technical Staff Research Overview Research Clusters Applied Electromagnetics Communications Systems Computer Systems Design Computing in the Biosciences Intelligent Informatics Languages and Semantics Network Engineering Network Systems Radar Systems and Remote Sensing RF Systems Engineering Cyber Security Signal Processing Software Engineering Theory of Computing Defense Notices Research Facilities Alumni & Friends Advisory Board Welcome Alumni! Giving Tech Help Search Search form Search Home Chenyun Pan CHENYUN PAN Chenyun Pan Assistant Professor chenyun@ku.edu 1 Primary office : 785-864-6640 2030 Eaton University of Kansas 1520 W. 15th Street Lawrence, KS 66045 Summary 2 Bio 3 Academics 4 Publications 5 Creative Works 6 Awards/Honors 7 Chenyun Pan received a B.S. in microelectronics from Shanghai Jiao Tong University (Shanghai, China) in 2010 and M.S. and Ph.D. in the School of Electrical and Computer Engineering (ECE) at Georgia Institute of Technology in 2013 and 2015, respectively. In the summer of 2014 and spring of 2015, he was a researcher at IMEC in Leuven, Belgium, focusing on emerging graphene interconnects and deeply scaled vertical FETs. From2015 to 2018, h e was a Research Scientist in the School of ECE at the Georgia Institute of Technology. Dr. Pans research interest covers the modeling and optimization of energy-efficient Boolean and non-Boolean computing systems using various emerging beyond-CMOS devices, interconnects, and memory technologies. The applications includehigh-performance low-power circuits for deep learning applications, non-volatile in-memory computing system, and hardware security circuits. He has published more than 30 peer-reviewed IEEE journal and conference papers. He is the recipient of two Best Paper awards in the IEEE International Symposium on Quality Electronic Design and IEEE Conference on IC Design and Technology, and 2018 Research Spotlight Award in the School of ECE at Georgia Tech. GRA positions available. Self-motivated students who are interested in pursuing research in the following areas are encouraged to contact me by email: chenyun@ku.edu 1 Primary Research Interests Beyond-CMOS Nanoelectronic Devices and Interconnects Exploration Neuromorphic Circuit Design for Deep Learning Applications Nonvolatile Memory Design VLSI System Design Hardware Security Teaching University of Kansas: EECS645 - Computer Architecture EECS786 - Digital VLSI Georgia Institute of Technology: ECE3710 - Circuits and Electronics Selected Publications Google Scholar 8 Webpage Journal Publications: C. Pan and A. Naeemi, Complementary Logic Implementation for Antiferromagnet Field-Effect Transistors 9 , IEEE Journal of Exploratory Solid-State Computational Devices and Circuits (JxCDC),December, 2018. R. Nashed, C. Pan, K. Brenner, and A. Naeemi, Field Emission from Graphene Sheets and its Application in Floating Gate Memories 10 , Semiconductor Science and Technology , October, 2018. C. Pan and A. Naeemi, Transient Performance Analysis and Optimization of Crossbar Memory Arrays Using NbO2-based Threshold Switching Selectors 11 , IEEE Transactions on Electron Devices, July, 2018. C. Hsu, C. Pan, and A. Naeemi, Performance Analysis and Enhancement of Negative Capacitance Logic Devices Based on Internally Resistive Ferroelectrics, IEEE Electron Device Letters (EDL), April, 2018. C. Pan and A. Naeemi, An Expanded Benchmarking of Beyond-CMOS Devices Based on Boolean and Neuromorphic Representative Circuits 12 , IEEE Journal of Exploratory Solid-State Computational Devices and Circuits (JxCDC),Janurary, 2018. C. Pan and A. Naeemi, A Non-volatile Fast Read Two-transistor SRAM based on Spintronic Devices 13 , IEEE Journal of Exploratory Solid-State Computational Devices and Circuits (JxCDC),November,2017. C. Pan and A. Naeemi, Non-Volatile Spintronic Memory Array Performance Benchmarking based on Three-Terminal Memory Cell 14 , IEEE Journal of Exploratory Solid-State Computational Devices and Circuits (JxCDC),February,2017. C. Pan and A. Naeemi, Non-Boolean Computing Benchmarking for beyond-CMOS Devices based on Cellular Neural Network 15 , IEEE Journal of Exploratory Solid-State Computational Devices and Circuits (JxCDC),December,2016. D. Prasad, C. Pan, and A. Naeemi, Modeling Interconnect Variability at Advanced Technology Nodes and Potential Solutions 16 , IEEE Transactions on Electron Devices (TED),December,2016. C. Pan and A. Naeemi, A Proposal for Energy-Efficient Cellular Neural Network Based on Spintronic Devices 17 , IEEE Transactions on Nanotechnology (TNANO),August,2016. R.Nashed, C. Pan, K. Brenner, and A. Naeemi, Ultra-High Mobility in Dielectrically Pinned CVD Graphene 18 , IEEE Journal of the Electron Devices Society (JEDS),July,2016. C. Pan and A. Naeemi, Interconnect Design and Benchmarking for Charge-based Beyond-CMOS Device Proposals 19 , IEEE Electron Device Letters (EDL),April,2016. D. Prasad, A. Ceyhan, C. Pan, and A. Naeemi, Adapting Interconnect Technology to Multi-Gate Transistors for Optimum Performance 20 , IEEE Transactions on Electron Devices (TED),December,2015. C. Pan, P. Raghavan, D. Yakimets, P. Debacker, F. Catthoor, N. Collaert, Z. Tokei, D. Verkest, A.Thean, and A. Naeemi, Technology/System Co-Design and Benchmarking for Lateral and Vertical GAA Nanowire FETs at 5nm Technology Node 21 , IEEE Transactions on Electron Devices (TED),October,2015. C. Pan, R. Baert, I. Ciofi, Z. Tokei, and A. Naeemi, System-level Variation Analysis for Interconnection Networks at Sub-10nm Technology Nodes Using Multiple Patterning Techniques 22 , IEEE Transactions on Electron Devices (TED),July,2015. C. Pan, P. Raghavan, A. Ceyhan, F. Catthoor, Z. Tokei, and A. Naeemi, Technology/Circuit/System Co-Optimization and Benchmarking for Multilayer Graphene Interconnects at Sub-10nm Technology Node 23 , IEEE Transactions on Electron Devices (TED),May,2015. C. Pan and A. Naeemi, A Paradigm Shift in Local Interconnect Technology Design in the Era of Nanoscale Multi-Gate and Gate-All-Around Devices 24 , IEEE Electron Device Letters (EDL),March,2015. C. Pan and A. Naeemi, A Fast System-Level Design Methodology for Heterogeneous Multi-core Processors Using Emerging Technologies 25 , IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS),March,2015. C. Pan and A. Naeemi, A Proposal for a Novel Aluminum-Copper Hybrid Interconnect Technology for the End of Roadmap 26 , IEEE Electron Device Letters (EDL),February,2014. Patent: C. Pan, S. Dutta, and A. Naeemi, Magnetoelectric Computational Device, U.S. Patent 15/654,278, filed on July 19, 2017. Conference Publications: V. Huang, C. PanandA. Naeemi, Generic System-Level Modeling and Optimization for Beyond CMOS Device Applications, IEEE International Symposium on Quality Electronic Design (ISQED),March,2018. C. Pan and A. Naeemi, Beyond-CMOS Non-Boolean Logic Benchmarking: Insights and Future Directions, Design Automation and Test in Europe (DATE),March,2017. J. Mohseni, C. PanandA. Naeemi, Performance Modeling and Optimization for On-ChipInterconnectsin Cross-Bar ReRAM Memory Arrays, IEEE Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS),October,2016. D. Prasad, C. PanandA. Naeemi, Interconnect design and optimization for advanced technology nodes, Proceedings of SRC TECHCON,September,2016. (Best in Session Award) S. Dutta, R. M.Iraei, C. Pan, D. Nikonov, S. Manipatruni, I. A. Young, and A. Naeemi, Impact of Spintronics Transducerson the Performance ofSpin WaveLogic Circuit, IEEE International Conference on Nanotechnology (NANO),August,2016. C. Pan and A. Naeemi, Beyond-CMOS Device and Interconnect Technology Benchmarking based on a Fast Cross-Layer Optimization Methodology, Electrochemical Society (ECS) Transaction,May,2016. (Invited Paper) C. Pan, S. Chang, and A. Naeemi, Performance Analyses and Benchmarking for Spintronic Devices and Interconnects, IEEE International Interconnect Technology Conference (IITC),May,2016. J. Mohseni, C. PanandA. Naeemi, Performance Modeling and Optimization for On-Chip Interconnects in STT-MRAM Memory Arrays, IEEE International Interconnect Technology Conference (IITC),May,2016. (Top 5 Student Papers) D. Prasad, C. PanandA. Naeemi, Impact of Interconnect Variability on Circuit Performance in Advanced Technology Nodes, IEEE International Symposium on Quality Electronic Design (ISQED),March,2016. (Best Paper Nomination) J. Mohseni, C. Pan and A. Naeemi, Performance Modeling and Optimization for On-Chip Interconnects in 2D and 3D Memory Arrays, IEEE International Symposium on Quality Electronic Design (ISQED),March,2016. V. Huang, C. PanandA. Naeemi, Device/System Performance Modeling of Stacked Lateral NWFET Logic, IEEE International Symposium on Quality Electronic Design (ISQED),March,2016. J. Mohseni, C. Pan, and A. Naeemi, Performace Modeling and Optimization for On-ChipInterconnectsin Memory Arrays, IEEE Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS),October,2015. C. Pan, P. Raghavan, F. Catthoor, Z. Tokei, and A. Naeemi, Technology/Circuit Co-Optimization and Benchmarking for Multilayer Graphene Interconnects at Sub-10nm Technology Node, IEEE International Symposium on Quality Electronic Design (ISQED),March,2015. (Best Paper Nomination) C. Pan and A. Naeemi, System-Level Chip/Package Co-Design for Multi-Core Processors Implemented with Power-Gating Technique, IEEE Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS),October,2014. Naeemi, A. Ceyhan, V. Kumar, C. Pan, R. M.Iraei, and S. Rakheja, BEOL Scaling Limits and Next Generation Technology Prospects, IEEE/ACM Design Automation Conference (DAC),June,2014. (Invited Paper) C. Pan and A. Naeemi, System-level Variation Analysis for Interconnection Networks, IEEE International Interconnect Technology Conference (IITC),May,2014. C. Pan, S. Mukhopadhyay and A. Naeemi, An Analytical Approach to System-level Variation Analysis and Optimization for Multi-Core Processors, IEEE International Symposium on Quality Electronic Design (ISQED),March,2014. C. Pan and A. Naeemi, System-level Analysis for 3D Interconnection Networks, IEEE International Interconnect Technology Conference (IITC),June,2013. C. Pan, A. Ceyhan, and A. Naeemi, System-level Optimization and Benchmarking for InAsNanowire BasedGate-All-Around Tunneling FETs, IEEE International Symposium on Quality Electronic Design (ISQED),March,2013. C. Pan and A. Naeemi, System-Level Performance Optimization and Benchmarking for On-Chip Graphene Interconnects, IEEE Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS),October,2012. C. Pan and A. Naeemi, System-Level Optimization and Benchmarking of Graphene pn Junction Logic System Based on Empirical CPI Model, IEEE International Conference on IC Design and Technology (ICICDT),May,2012. (Best Paper Award) C. Pan and A. Naeemi, Device- and System-Level Performance Modeling for Graphene P-N Junction Logic, IEEE International Symposium on Quality Electronic Design (ISQED),March,2012. (Best Paper Award) Selected Work 1. Neuromorphic Computing Circuit Using Emerging Technologies Biologically-inspired computing platforms are highly-efficient for solving many problems, particularly in the voice, image, and video processing, by taking advantages of massive parallel low-power computing blocks. Compounded with emerging beyond-CMOS technologies, these neuromorphic circuits lead to significant improvement in computing energy efficiency. As an example, cellular neural network (CNN) is one promising type of non-Boolean computing system that can outperform the traditional digital logic computation and mitigate the physical scaling limit of the conventional CMOS technology. 17 Spintronic Cellular Neural Network and Its Functional Demonstration for Associative Memory Applications 2. Emerging Non-Volatile Memory Design To replace the conventional SRAM, DRAM, and floating gate-based FLASH memory, this project aims to develop high-density high-performance stand-alone non-volatile memory that is essential for energy-efficient computing systems. A variety of emerging technologies and memory architectures are investigated, and two examples are given as follow. Spintronic Memory 13 Fast Read and Write Spintronic SRAM Schematic, Layout, and Performance Projection 3D Crossbar Memory Array High-Density High-Performance 3D Crossbar Memory Array and Modeling 3. Hierarchical Optimization for Generic VLSI Systems To design next-generation high-performance low-power VLSI computing systems, this project develops a fast and efficient hierarchical optimization engine to explore various emerging beyond-CMOS technologies and system-level innovations. When developing new technology options, all critical design parameters across all levels of abstraction must be co-optimized simultaneously to maximize the overall chip throughput. A faster device does not guarantee a larger chip throughput, because the system could be limited by the leakage power, device footprint area, interconnect network, architecture, and/or memory bandwidth. The proposed optimization engine is highly efficient so that an exhaustive exploration and searching is feasible under area or power constraints. Several representative case studies are listed as follow: Device Optimization: Interconnect Optimization: System-Level Optimization: CMOS Planar/FinFET 25 Tunneling FET 27 Graphene PN Junction 28 Cu/Al Hybrid Interconnect 26 Multi-layer Graphene 29 Multiple Patterning Analysis 22 Power Delivery Network 30 3D Integration 31 Heterogeneous Integration 25 Variation-Aware Optimization 32 25 A Hierarchical Optimization Engine for Generic VLSI Systems 4. Beyond-CMOS Technology Exploration for Boolean and non-Boolean Applications Faced with the challenges and limitations of CMOS scaling, there is a global search for beyond-CMOS device technologies that are capable of augmenting or even replacing conventional Si CMOS technology and sustaining Moores Law.There is an increasing need for a uniform benchmarking methodology to capture and evaluate the latest research and development for various beyond-CMOS proposals. Such research is critical in identifying the key limiting factors for promising devices and in guiding future research directions through modification or even reinvention of proposed devices. 12 Beyond-CMOS Device Benchmarking for Boolean and Non-Boolean Logic Applications Selected Awards & Honors Research Spotlight Award , School of ECE, Georgia Institute of Technology, 2018 Best in Session Award , Semiconductor Research Corporation (SRC) TECHCON, 2016 Best Paper Nomination , IEEE International Symposium on Quality Electronic Design (ISQED), 2016 Top 5 Student Papers , IEEE International Interconnect Technology Conference (IITC), 2016 Best Paper Nomination , IEEE International Symposium on Quality Electronic Design (ISQED), 2015 Best Student Paper Award , IEEE International Conference on IC Design and Technology (ICICDT), 2012 Best Paper Award , IEEE International Symposium on Quality Electronic Design (ISQED), 2012 Outstanding Bachelor Thesis, School of Microelectronics, Shanghai Jiao Tong University, 2010 1st Prize , National Undergraduate Electronic Design Contest in China, 2009 EECS Application Login EECS Gradplanner Login EECS Shop Department Events Please update your browser to view the iframe content. Your browser must support JavaScript to view this content. Please enable JavaScript in your browser settings then try again. KU Today 31st annual Seaver Lecture focuses on history of the automobile in Poland All KU News Give to KU Why KU Apply High school seniors can apply to the SELF Program, a four-year enrichment and leadership experience Engineering students build concrete canoes, Formula race cars, unmanned planes, and rockets for competitions nationwide More first and second place awards in student AIAA aircraft design contests than any other school in the world One of 34 U.S. public institutions in the prestigious Association of American Universities 44 nationally ranked graduate programs. U.S. News & World Report Top 50 nationwide for size of library collection. 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Giving Tech Help Search Search form Search Home Bozenna Pasik-Duncan BOZENNA PASIK-DUNCAN Bozenna Pasik-Duncan Courtesy Professor bozenna@ku.edu 1 Primary office : 785-864-5162 503 Snow Hall Summary 2 Bio 3 Primary Research Interests Probability Statistics Stochastic Control EECS Application Login EECS Gradplanner Login EECS Shop Department Events Please update your browser to view the iframe content. Your browser must support JavaScript to view this content. Please enable JavaScript in your browser settings then try again. KU Today Students to present at Kansas Undergraduate Research Day at the Capitol All KU News Give to KU Why KU Apply High school seniors can apply to the SELF Program, a four-year enrichment and leadership experience Engineering students build concrete canoes, Formula race cars, unmanned planes, and rockets for competitions nationwide More first and second place awards in student AIAA aircraft design contests than any other school in the world One of 34 U.S. public institutions in the prestigious Association of American Universities 44 nationally ranked graduate programs. U.S. News & World Report Top 50 nationwide for size of library collection. 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Retaliation is also prohibited by university policy. The following persons have been designated to handle inquiries regarding the nondiscrimination policies and are the Title IX coordinators for their respective campuses: Director of the Office of Institutional Opportunity & Access, IOA@ku.edu , Room 1082, Dole Human Development Center, 1000 Sunnyside Avenue, Lawrence, KS 66045, 785-864-6414, 711 TTY (for the Lawrence, Edwards, Parsons, Yoder, and Topeka campuses); Director, Equal Opportunity Office, Mail Stop 7004, 4330 Shawnee Mission Parkway, Fairway, KS 66205, 913-588-8011, 711 TTY (for the Wichita, Salina, and Kansas City, Kansas medical center campuses). diff --git a/src/data/compiled_bios/4243.txt b/src/data/compiled_bios/4243.txt new file mode 100644 index 0000000000..8120509370 --- /dev/null +++ b/src/data/compiled_bios/4243.txt @@ -0,0 +1 @@ + Erik Perrins News Research Industry Publications Resume/CV Classes Other Goodies Dr. Erik Perrins Professor Department of Electrical Engineering & Computer Science University of Kansas 2054 Eaton Hall 1520 West 15th St. Lawrence, KS 66045 USA Voice: 785.864.7770 Fax: 785.864.0387 E-mail: e s p a t k u . e d u Summary I am a Professor in the Department of Electrical Engineering and Computer Science ( EECS ) at The University of Kansas. I am also the Associate Director of the Information and Telecommunication Technology Center ( ITTC ) here at KU . My research and teaching interests are in the broad area of wireless communications. My current research topics include modulation and coding techniques, receiver synchronization (frequency, phase, and symbol timing estimation), noncoherent and differentially coherent detection, communication over fading channels, energy efficient communications, multiple-input multiple output (MIMO) architectures, and orthogonal frequency-division multiplexing (OFDM). I also have current research topics at the intersection of wireless communications and digital hardware design, where we are studying efficient and rapid implementation architectures for reduced-complexity-yet-near-optimal decoders and demodulators. If you would like to work with me, please follow the research link above. I teach both graduate and undergraduate courses, on topics that include signals & systems, probability theory, digital communication theory, wireless communications, information theory, and forward error correction coding. A list of my current and previous classes is found at the link above. I enjoy interacting with government and industry through sponsored research activities and also on a consulting basis. Please see the above link on industry collaborations, and feel free to contact me for more information. I am a Senior Member of the IEEE, and a member of the IEEE Communications Society and the IEEE Vehicular Technology Society. I am currently serving as an Area Editor for the IEEE Transactions on Communications . I am also an active participant in the Communication Theory Technical Committee within the IEEE Communications Society. 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Petr Professor of EECS and Associate Chair for Undergraduate Studies Contact Information Electrical Engineering & Computer Science The University of Kansas 2001C Eaton Hall 1520 W. 15th Lawrence, Kansas 66045-7621 Phone: (785) 864-8823 FAX: (785) 864-3226 Information and Telecommunications Technology Center (ITTC) The University of Kansas 118 Nichols Hall 2335 Irving Hill Road Lawrence, Kansas 66045-7612 Phone: (785) 864-7762 FAX: (785) 864-0387 Email: dwp@ku.edu Other Information Short Biography -- Last updated: August 2013 diff --git a/src/data/compiled_bios/4245.txt b/src/data/compiled_bios/4245.txt new file mode 100644 index 0000000000..aefa8045f4 --- /dev/null +++ b/src/data/compiled_bios/4245.txt @@ -0,0 +1 @@ + Skip to main content The University of Kansas myKU Email Blackboard Enroll & Pay KU Directory A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All Academics Athletics Your browser must support JavaScript to view this content. 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Campus Map | Directions | Campuses | Buses | Parking Information Technology | Jobs at KU Finances Tuition | Bill Payments | Scholarship Search Financial Aid | Loans | Beak 'em Bucks Search all KU People Search Library Search Libraries | Hours & locations | Ask Advising | Catalog | Tutors Writing Center | Math help room Finals Schedule | GPA Calculator CMS Login : KU Users | Non-KU Users KU Home About KU Admissions Athletics Alumni Campuses Social Media Endowment KU Today Electrical Engineering and Computer Science School of Engineering Search form Search Home About Chair's Message Vision & Mission Academic Experience Prospective Students Overview Disciplines Undergraduate Programs Academic Experience Degree Requirements Scholarship & Tuition Admissions Degree Accreditation Graduate Programs Master's Program Ph.D. Programs Research Clusters Applied Electromagnetics Communications Systems Computational Science and Engineering Computer Systems Design Computing in the Biosciences Data Science and Engineering IT Project Management Languages and Semantics Network Engineering Network Systems Radar Systems and Remote Sensing RF Systems Engineering Cyber Security Signal Processing Software Engineering Theory of Computing Graduate Funding Cybersecurity Graduate Certificate Data Science and Engineering Software Engineering and Management Certificate RF Systems Engineering Graduate Certificate Facilities Current Students Overview New Students Undergraduate Graduate Undergraduate Students Graduate Students Master's Programs Ph.D. Programs Research Clusters Defense Notices Cybersecurity Graduate Certificate Data Science Graduate Certificate Software Engineering and Management Certificate RF Systems Engineering Graduate Certificate EECS Courses Facilities Research Facilities Facilities Location EECS Workstation Software Eaton Hall Map EECS Shop Faculty & Staff Faculty Chairpersons Administrative Staff Technical Staff Research Overview Research Clusters Applied Electromagnetics Communications Systems Computer Systems Design Computing in the Biosciences Intelligent Informatics Languages and Semantics Network Engineering Network Systems Radar Systems and Remote Sensing RF Systems Engineering Cyber Security Signal Processing Software Engineering Theory of Computing Defense Notices Research Facilities Alumni & Friends Advisory Board Welcome Alumni! Giving Tech Help Menu Home About Chair's Message Vision & Mission Academic Experience Prospective Students Overview Disciplines Undergraduate Programs Academic Experience Degree Requirements Scholarship & Tuition Admissions Degree Accreditation Graduate Programs Master's Program Ph.D. Programs Research Clusters Applied Electromagnetics Communications Systems Computational Science and Engineering Computer Systems Design Computing in the Biosciences Data Science and Engineering IT Project Management Languages and Semantics Network Engineering Network Systems Radar Systems and Remote Sensing RF Systems Engineering Cyber Security Signal Processing Software Engineering Theory of Computing Graduate Funding Cybersecurity Graduate Certificate Data Science and Engineering Software Engineering and Management Certificate RF Systems Engineering Graduate Certificate Facilities Current Students Overview New Students Undergraduate Graduate Undergraduate Students Graduate Students Master's Programs Ph.D. Programs Research Clusters Defense Notices Cybersecurity Graduate Certificate Data Science Graduate Certificate Software Engineering and Management Certificate RF Systems Engineering Graduate Certificate EECS Courses Facilities Research Facilities Facilities Location EECS Workstation Software Eaton Hall Map EECS Shop Faculty & Staff Faculty Chairpersons Administrative Staff Technical Staff Research Overview Research Clusters Applied Electromagnetics Communications Systems Computer Systems Design Computing in the Biosciences Intelligent Informatics Languages and Semantics Network Engineering Network Systems Radar Systems and Remote Sensing RF Systems Engineering Cyber Security Signal Processing Software Engineering Theory of Computing Defense Notices Research Facilities Alumni & Friends Advisory Board Welcome Alumni! Giving Tech Help Search Search form Search Home Glenn Prescott GLENN PRESCOTT Glenn Prescott Professor prescott@ku.edu 1 Primary office : 785-864-8815 3048 Eaton Hall Summary 2 Bio 3 Academics 4 Publications 5 Awards/Honors 6 Primary Research Interests Software Radio Systems Spread Spectrum and Military Communication Systems Radio and Radar Signal Processing DSP Applications in Acoustics and Radio Signals Wireless Communication Systems Education Ph.D. in Electrical Engineering, Georgia Tech, 1984 M.S. in Electrical Engineering, University of Missouri, 1977 B.E. in Electrical Engineering, Georgia Tech, 1974 Teaching Digital Signal Processing Digital Communications Electronic Design Modulation and Coding Linear system Research Digital signal applications for Communications and Radar Digital communications Military radio systems Low probability of intercept communications Time-frequency signal analysis Service Associate Director for Technology (Information Systems), NASA Earth Science Enterprise, 1999-2000 Memberships IEEE (senior member) American Society for Engineering Education Armed Forces Comunications Electronics Association American Radio Relay League Air Force Association Air Force Sargents Association Selected Publications "Alternative Communication Networking in Polar Regions," Mohammad, A., N. Chalishazar, V. Frost and G. Prescott, International Symposium on Advanced Radio Technologies, March 2-4, Boulder, CO, 2004. "Multi-channel Iridium Communication System for Polar Field Experiments," Mohammad, A., V. Frost, G. Prescott and D. Braaten, IGARSS 2004, Anchorage, Alaska, September 2004. "Collection of Empirical Data for Assessing 800 MHz Coverage Models," E. Meyer, G. Prescott, Final Report for KDOT Project RE-0321-01, KTRAN Project KU-03-7. 19 March 2004. G. Prescott, S. Gogineni, C. Allen, V. Frost, C. Tsatsoulis, A. Agah, "Polar Radar for Ice Sheet Measurements," Proceedings of the 2003 International Geoscience and Remote Sensing Symposium (IGARSS 2003), Paper #03.1739, Toulous, France, 21 25 July. A. J. Mohammad, G. Prescott, D. Braaten, "A High-Speed, Long Range Mobile Communications Link for Use in Polar Regions" 2003 American Geophysical Union (AGU), San Francisco, 2003. F. Lansing, L. Lemmermann, A. Walton, G. Bothwell, K. Basin, G. Prescott, "Needs for Communications and Onboard Processing in the Vision Era," International Geoscience and Remote Sensing Symposium (IGARSS 2002), Toronto, Canada, 8 12 July 2002 G. Prescott, S. Smith, K, Moe, "Information System Technology Requirements for Future Earth Science Satellite Missions", International Geoscience and Remote Sensing Symposium (IGARSS 2001), Sydney, Australia, 9 13 July 2001 G. Prescott, and R. Mills, "Detectability Models for Multiple Access Low Probability of Intercept Networks," IEEE Transactions on Aerospace and Electronic Systems, Vol. AES-June 2000. D. Chatterjee, S. Chakrabarti, K. Shanmugan, G. Prescott, "Performance Simulation Studies for a Class of Smart, Conformal Array Antenna Architectures," IEEE International Conference on Phased Array Systems and Technology, Dana Point, CA, 21 25 May 2000. Selected Awards & Honors University of Kansas Sharp Teaching Professorship (1999 - 2001) NASA Sabbatical Fellowship to Goddard Spaceflight Center, Washington DC. 1999 Air Force Office of Scientific Research Summer Fellowship, USAF Rome Laboratory, Griffiss AFB, NY. 1991 and 1996 Eta Kappa Nu, Delta Xi Chapter, Outstanding Instructor of the Year, 1987 Affliliations IEEE (senior member) American Society for Engineering Education Armed Forces Comunications Electronics Association American Radio Relay League Air Force Association Air Force Sargents Association EECS Application Login EECS Gradplanner Login EECS Shop Department Events Please update your browser to view the iframe content. Your browser must support JavaScript to view this content. Please enable JavaScript in your browser settings then try again. KU Today Students to present at Kansas Undergraduate Research Day at the Capitol All KU News Give to KU Why KU Apply High school seniors can apply to the SELF Program, a four-year enrichment and leadership experience Engineering students build concrete canoes, Formula race cars, unmanned planes, and rockets for competitions nationwide More first and second place awards in student AIAA aircraft design contests than any other school in the world One of 34 U.S. public institutions in the prestigious Association of American Universities 44 nationally ranked graduate programs. U.S. News & World Report Top 50 nationwide for size of library collection. ALA 5th nationwide for service to veterans "Best for Vets: Colleges," Military Times Links on this page: prescott@ku.edu http://eecs.ku.edu/glenn-prescott#tabSummary http://eecs.ku.edu/glenn-prescott#link1 http://eecs.ku.edu/glenn-prescott#link2 http://eecs.ku.edu/glenn-prescott#link3 http://eecs.ku.edu/glenn-prescott#link5 Contact Electrical Engineering and Computer Science eecs-info@ku.edu 785-864-4620 2001 Eaton Hall 1520 West 15th Street University of Kansas Lawrence, KS 66045-7608 Degree Accreditation Information Enrollment & Graduation Data EECS Resources News Publications Facilities Webmail Alumni Cadence Undergraduate Graduation Planner Prospective Students Disciplines Undergraduate Programs Graduate Programs Facilities Degree Accreditation Enrollment & Graduation Data Current Students New Students Undergraduate Students Graduate Students EECS Courses Facilities Faculty Documents & Forms EECS Courses Facilities Faculty & Staff Faculty Chairpersons Administrative Staff Technical Staff Research Focus Areas Reseach Centers Defense Notices Academics Accessible KU Admissions Alumni Athletics Campuses Giving Jobs Safety Contact KU Lawrence, KS | Maps The University of Kansas prohibits discrimination on the basis of race, color, ethnicity, religion, sex, national origin, age, ancestry, disability, status as a veteran, sexual orientation, marital status, parental status, gender identity, gender expression, and genetic information in the university's programs and activities. 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Campus Map | Directions | Campuses | Buses | Parking Information Technology | Jobs at KU Finances Tuition | Bill Payments | Scholarship Search Financial Aid | Loans | Beak 'em Bucks Search all KU People Search Library Search Libraries | Hours & locations | Ask Advising | Catalog | Tutors Writing Center | Math help room Finals Schedule | GPA Calculator CMS Login : KU Users | Non-KU Users KU Home About KU Admissions Athletics Alumni Campuses Social Media Endowment KU Today Electrical Engineering and Computer Science School of Engineering Search form Search Home About Chair's Message Vision & Mission Academic Experience Prospective Students Overview Disciplines Undergraduate Programs Academic Experience Degree Requirements Scholarship & Tuition Admissions Degree Accreditation Graduate Programs Master's Program Ph.D. Programs Research Clusters Applied Electromagnetics Communications Systems Computational Science and Engineering Computer Systems Design Computing in the Biosciences Data Science and Engineering IT Project Management Languages and Semantics Network Engineering Network Systems Radar Systems and Remote Sensing RF Systems Engineering Cyber Security Signal Processing Software Engineering Theory of Computing Graduate Funding Cybersecurity Graduate Certificate Data Science and Engineering Software Engineering and Management Certificate RF Systems Engineering Graduate Certificate Facilities Current Students Overview New Students Undergraduate Graduate Undergraduate Students Graduate Students Master's Programs Ph.D. Programs Research Clusters Defense Notices Cybersecurity Graduate Certificate Data Science Graduate Certificate Software Engineering and Management Certificate RF Systems Engineering Graduate Certificate EECS Courses Facilities Research Facilities Facilities Location EECS Workstation Software Eaton Hall Map EECS Shop Faculty & Staff Faculty Chairpersons Administrative Staff Technical Staff Research Overview Research Clusters Applied Electromagnetics Communications Systems Computer Systems Design Computing in the Biosciences Intelligent Informatics Languages and Semantics Network Engineering Network Systems Radar Systems and Remote Sensing RF Systems Engineering Cyber Security Signal Processing Software Engineering Theory of Computing Defense Notices Research Facilities Alumni & Friends Advisory Board Welcome Alumni! Giving Tech Help Menu Home About Chair's Message Vision & Mission Academic Experience Prospective Students Overview Disciplines Undergraduate Programs Academic Experience Degree Requirements Scholarship & Tuition Admissions Degree Accreditation Graduate Programs Master's Program Ph.D. Programs Research Clusters Applied Electromagnetics Communications Systems Computational Science and Engineering Computer Systems Design Computing in the Biosciences Data Science and Engineering IT Project Management Languages and Semantics Network Engineering Network Systems Radar Systems and Remote Sensing RF Systems Engineering Cyber Security Signal Processing Software Engineering Theory of Computing Graduate Funding Cybersecurity Graduate Certificate Data Science and Engineering Software Engineering and Management Certificate RF Systems Engineering Graduate Certificate Facilities Current Students Overview New Students Undergraduate Graduate Undergraduate Students Graduate Students Master's Programs Ph.D. Programs Research Clusters Defense Notices Cybersecurity Graduate Certificate Data Science Graduate Certificate Software Engineering and Management Certificate RF Systems Engineering Graduate Certificate EECS Courses Facilities Research Facilities Facilities Location EECS Workstation Software Eaton Hall Map EECS Shop Faculty & Staff Faculty Chairpersons Administrative Staff Technical Staff Research Overview Research Clusters Applied Electromagnetics Communications Systems Computer Systems Design Computing in the Biosciences Intelligent Informatics Languages and Semantics Network Engineering Network Systems Radar Systems and Remote Sensing RF Systems Engineering Cyber Security Signal Processing Software Engineering Theory of Computing Defense Notices Research Facilities Alumni & Friends Advisory Board Welcome Alumni! Giving Tech Help Search Search form Search Home Fernando Rodriguez-Morales FERNANDO RODRIGUEZ-MORALES Fernando Rodriguez-Morales Courtesy Assistant Professor frodrigu@ku.edu 1 Primary office : 785-864-7754 Summary 2 Bio 3 Primary Research Interests Radar and radiometer systems Microwave and millimeter wave integrated circuit (MMIC) design RF, microwave and millimeter-wave systems for remote sensing applications EECS Application Login EECS Gradplanner Login EECS Shop Department Events Please update your browser to view the iframe content. Your browser must support JavaScript to view this content. Please enable JavaScript in your browser settings then try again. KU Today Students to present at Kansas Undergraduate Research Day at the Capitol All KU News Give to KU Why KU Apply High school seniors can apply to the SELF Program, a four-year enrichment and leadership experience Engineering students build concrete canoes, Formula race cars, unmanned planes, and rockets for competitions nationwide More first and second place awards in student AIAA aircraft design contests than any other school in the world One of 34 U.S. public institutions in the prestigious Association of American Universities 44 nationally ranked graduate programs. U.S. News & World Report Top 50 nationwide for size of library collection. ALA 5th nationwide for service to veterans "Best for Vets: Colleges," Military Times Links on this page: frodrigu@ku.edu http://eecs.ku.edu/fernando-rodriguez-morales#tabSummary http://eecs.ku.edu/fernando-rodriguez-morales#link1 Contact Electrical Engineering and Computer Science eecs-info@ku.edu 785-864-4620 2001 Eaton Hall 1520 West 15th Street University of Kansas Lawrence, KS 66045-7608 Degree Accreditation Information Enrollment & Graduation Data EECS Resources News Publications Facilities Webmail Alumni Cadence Undergraduate Graduation Planner Prospective Students Disciplines Undergraduate Programs Graduate Programs Facilities Degree Accreditation Enrollment & Graduation Data Current Students New Students Undergraduate Students Graduate Students EECS Courses Facilities Faculty Documents & Forms EECS Courses Facilities Faculty & Staff Faculty Chairpersons Administrative Staff Technical Staff Research Focus Areas Reseach Centers Defense Notices Academics Accessible KU Admissions Alumni Athletics Campuses Giving Jobs Safety Contact KU Lawrence, KS | Maps The University of Kansas prohibits discrimination on the basis of race, color, ethnicity, religion, sex, national origin, age, ancestry, disability, status as a veteran, sexual orientation, marital status, parental status, gender identity, gender expression, and genetic information in the university's programs and activities. Retaliation is also prohibited by university policy. The following persons have been designated to handle inquiries regarding the nondiscrimination policies and are the Title IX coordinators for their respective campuses: Director of the Office of Institutional Opportunity & Access, IOA@ku.edu , Room 1082, Dole Human Development Center, 1000 Sunnyside Avenue, Lawrence, KS 66045, 785-864-6414, 711 TTY (for the Lawrence, Edwards, Parsons, Yoder, and Topeka campuses); Director, Equal Opportunity Office, Mail Stop 7004, 4330 Shawnee Mission Parkway, Fairway, KS 66205, 913-588-8011, 711 TTY (for the Wichita, Salina, and Kansas City, Kansas medical center campuses). diff --git a/src/data/compiled_bios/4247.txt b/src/data/compiled_bios/4247.txt new file mode 100644 index 0000000000..d5bcdb5d14 --- /dev/null +++ b/src/data/compiled_bios/4247.txt @@ -0,0 +1 @@ + Home Teaching KU Home BSIT myKU Blackboard News Calendar Directories Maps Home Teaching I believe the fundamental goal of teaching is to foster learning. Learning takes place in many different circumstances and contexts. Although everyone is capable of learning, a student's desire to learn is a vital pre-condition to effectively mastering new concepts and skills. Humans have multiple learning styles: some learn best in lecture atmospheres, some are motivated by discussion, and others absorb best when they read and reflect on what they have read. The classroom setting can encourage or inhibit learning depending on the dominant learning style of each student. Accommodating different learning styles creates an atmosphere that is conducive to learning. Students take many of their learning habits from the instructor. If the instructor doesn't show interest in the subject and a passion for learning, students are less likely to put forth the effort to learn in that class. An instructor must convince students of his or her knowledge and expertise before they will show a willingness to learn. Rassul Saeedipour, Professor of the Practice Electrical Engineering & Computer Science The University of Kansas Edwards Campus 12600 Quivira Rd. Overland Park, KS 66213 Telephone: (913) 897-8624 diff --git a/src/data/compiled_bios/4248.txt b/src/data/compiled_bios/4248.txt new file mode 100644 index 0000000000..e2b7fccf4b --- /dev/null +++ b/src/data/compiled_bios/4248.txt @@ -0,0 +1 @@ + KU Home | Kyou | Email | Blackboard | News | Calendar | Directories | Maps | KU A-Z Electrical Engineering & Computer Science Search Type Search this site Search Engineering Search KU Web Search KU People Search KU Events Search KU Info Search Text EECS Department Home Research Profile Teaching Profile Professional Profile Education Personal Profile Contact Information Hossein Saiedian, Ph.D., IEEE PSEM Senior Administrative Fellow Diversity & Equity Faculty Fellow Professor and Associate Chair, Director, Information Technology Programs, Member, KU Senate Executive Committee, Member, KU Safe Zone, Teaching/Administrative Office +1 913-897-8515 Research Office +1 785-864-8812 Relator, Input, Achiever, Analytical, Learner Public key: HS-public-key.asc Linkedin: linkedin.com/in/saiedian Recipient, Kemper Fellowship for Excellence in Teaching (University of Kansas) Recipient, Distinguished Research Award (University of Nebraska) Recipient, Excellence in Teaching Award (University of Nebraska) Professor Hossein Saiedian Electrical Engineering & Computer Science 2001 Eaton Hall University of Kansas Lawrence, KS 66045-7621 +1 785 864-8812 saiedian at eecs.ku.edu diff --git a/src/data/compiled_bios/4249.txt b/src/data/compiled_bios/4249.txt new file mode 100644 index 0000000000..64ade47049 --- /dev/null +++ b/src/data/compiled_bios/4249.txt @@ -0,0 +1 @@ + Skip to main content The University of Kansas myKU Email Blackboard Enroll & Pay KU Directory A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All Academics Athletics Your browser must support JavaScript to view this content. 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Campus Map | Directions | Campuses | Buses | Parking Information Technology | Jobs at KU Finances Tuition | Bill Payments | Scholarship Search Financial Aid | Loans | Beak 'em Bucks Search all KU People Search Library Search Libraries | Hours & locations | Ask Advising | Catalog | Tutors Writing Center | Math help room Finals Schedule | GPA Calculator CMS Login : KU Users | Non-KU Users KU Home About KU Admissions Athletics Alumni Campuses Social Media Endowment KU Today Electrical Engineering and Computer Science School of Engineering Search form Search Home About Chair's Message Vision & Mission Academic Experience Prospective Students Overview Disciplines Undergraduate Programs Academic Experience Degree Requirements Scholarship & Tuition Admissions Degree Accreditation Graduate Programs Master's Program Ph.D. Programs Research Clusters Applied Electromagnetics Communications Systems Computational Science and Engineering Computer Systems Design Computing in the Biosciences Data Science and Engineering IT Project Management Languages and Semantics Network Engineering Network Systems Radar Systems and Remote Sensing RF Systems Engineering Cyber Security Signal Processing Software Engineering Theory of Computing Graduate Funding Cybersecurity Graduate Certificate Data Science and Engineering Software Engineering and Management Certificate RF Systems Engineering Graduate Certificate Facilities Current Students Overview New Students Undergraduate Graduate Undergraduate Students Graduate Students Master's Programs Ph.D. Programs Research Clusters Defense Notices Cybersecurity Graduate Certificate Data Science Graduate Certificate Software Engineering and Management Certificate RF Systems Engineering Graduate Certificate EECS Courses Facilities Research Facilities Facilities Location EECS Workstation Software Eaton Hall Map EECS Shop Faculty & Staff Faculty Chairpersons Administrative Staff Technical Staff Research Overview Research Clusters Applied Electromagnetics Communications Systems Computer Systems Design Computing in the Biosciences Intelligent Informatics Languages and Semantics Network Engineering Network Systems Radar Systems and Remote Sensing RF Systems Engineering Cyber Security Signal Processing Software Engineering Theory of Computing Defense Notices Research Facilities Alumni & Friends Advisory Board Welcome Alumni! Giving Tech Help Menu Home About Chair's Message Vision & Mission Academic Experience Prospective Students Overview Disciplines Undergraduate Programs Academic Experience Degree Requirements Scholarship & Tuition Admissions Degree Accreditation Graduate Programs Master's Program Ph.D. Programs Research Clusters Applied Electromagnetics Communications Systems Computational Science and Engineering Computer Systems Design Computing in the Biosciences Data Science and Engineering IT Project Management Languages and Semantics Network Engineering Network Systems Radar Systems and Remote Sensing RF Systems Engineering Cyber Security Signal Processing Software Engineering Theory of Computing Graduate Funding Cybersecurity Graduate Certificate Data Science and Engineering Software Engineering and Management Certificate RF Systems Engineering Graduate Certificate Facilities Current Students Overview New Students Undergraduate Graduate Undergraduate Students Graduate Students Master's Programs Ph.D. Programs Research Clusters Defense Notices Cybersecurity Graduate Certificate Data Science Graduate Certificate Software Engineering and Management Certificate RF Systems Engineering Graduate Certificate EECS Courses Facilities Research Facilities Facilities Location EECS Workstation Software Eaton Hall Map EECS Shop Faculty & Staff Faculty Chairpersons Administrative Staff Technical Staff Research Overview Research Clusters Applied Electromagnetics Communications Systems Computer Systems Design Computing in the Biosciences Intelligent Informatics Languages and Semantics Network Engineering Network Systems Radar Systems and Remote Sensing RF Systems Engineering Cyber Security Signal Processing Software Engineering Theory of Computing Defense Notices Research Facilities Alumni & Friends Advisory Board Welcome Alumni! Giving Tech Help Search Search form Search Home Alessandro Salandrino ALESSANDRO SALANDRINO Curriculum Vitae 1 Download A. Salandrino's vCard 2 Google Scholar 3 Alessandro Salandrino Assistant Professor a.salandrino@ku.edu 4 Primary office : 785-864-8081 3030 Eaton Hall Summary 5 Bio 6 Publications 7 Primary Research Interests Applied Electromagnetics, Optics and Photonics Metamaterials Plasmonics Nonlinear Optics Selected Publications Salandrino, A.PlasmonicParametric Resonance. Physical Review B . (in press) Fardad, S., Ramos, E. A., &Salandrino, A. (2017). Accumulation-layer surfaceplasmonsin transparent conductive oxides. Optics Letters, 42 (10), 2038-2041. Das, S.,Fardad, S., Kim, I., Rho, J., Hui, R., &Salandrino, A. (2016).NanophotonicModal Dichroism: Mode-Multiplexed Modulators. Optics Letters, 41 (18), 4394-4397. Salandrino, A., Wang, Y., & Zhang, X. (2016). Nonlinear infraredplasmonicwaveguide arrays. NanoResearch, 1-6. http://dx.doi.org/10.1007/s12274-016-0994-0doi:10.1007/s12274-016-0994... 8 1998-0124 Cang, H.,Salandrino, A., Wang, Y., & Zhang, X. (2015). Adiabatic Far Field Sub-Diffraction Imaging. Nature Communications, 6 , 8942. http://www.nature.com/ncomms/2015/150810/ncomms8942/full/ncomms8942.html... 9 Das, S.,Salandrino, A., Wu, J. Z., & Hui, R. (2015). Near-infrared electro-optic modulator based onplasmonicgraphene. Optics Letters, 40 (7), 15161519. http://ol.osa.org/abstract.cfm?URI=ol-40-7-1516 10 Fardad, S.,Salandrino, A., Heinrich, M., Zhang, P., Chen, Z., &Christodoulides, D. N. (2014).Plasmonicresonantsolitonsin metallicnanosuspensions. Nanoletters, 14 (5), 2498-504.doi:10.1021/nl500191eISSN: 1530-6984PMID: 24697412 13.Salandrino, A., &Christodoulides, D. N. (2010). Airyplasmon: anondiffractingsurface wave. Optics Letters, 35 , 2082. 10.Salandrino, A.,Makris, K.,Christodoulides, D. N.,Lahini, Y.,Silberberg, Y., &Morandotti, R. (2009). Analysis of a three-core adiabatic directional coupler. Optics Communications, 282 , 4524. 2.Salandrino, A., &Engheta, N. (2006). Far-FieldSubdiffractionOptical Microscopy UsingMetamaterialCrystals: Theory and Simulations. Physical Review B, 74 , 075103.press coverage and highlights: 1.Salandrino, A.,Engheta, N., &Al, A. (2005). Circuit Elements at Optical Frequencies:Nano-Inductor,Nano-Capacitor, andNano-Resistor. Physical Review Letters, 95 , 95504. Show All Publications 5 All Publications Journal Articles Total: 33 33. Das, S., Salandrino, A., & Hui, R. (in progress). Tunable Hyper-photonic Devices. Journal of the Optical Society of America B . 32. Salandrino, A. (in review). Plasmonic Parametric Resonance. Physical Review B . 31. Fardad, S., Ramos, E. A., & Salandrino, A. (2017). Accumulation-layer surface plasmons in transparent conductive oxides. Optics Letters, 42 (10), 2038-2041. 30. Das, S., Fardad, S., Kim, I., Rho, J., Hui, R., & Salandrino, A. (2016). Nanophotonic Modal Dichroism: Mode-Multiplexed Modulators. Optics Letters, 41 (18), 4394-4397. 29. Fardad, S., Salandrino, A., Samadi, A., Heinrich, M., Chen, Z., & Christodoulides, D. N. (2016). Scattering detection of a solenoidal Poynting vector field. Optics Letters, 41 (15), 36153618. http://ol.osa.org/abstract.cfm?URI=ol-41-15-3615 11 28. Wang, X., Fardad, S., Das, S., Salandrino, A., & Hui, R. (2016). Direct observation of bulk second-harmonic generation inside a glass slide with tightly focused optical fields. Physical Review B (Rapid), 93 (16), 161109. http://link.aps.org/doi/10.1103/PhysRevB.93.161109 12 doi:10.1103/PhysRevB.93.161109 27. Salandrino, A., Wang, Y., & Zhang, X. (2016). Nonlinear infrared plasmonic waveguide arrays. Nano Research, 1-6. http://dx.doi.org/10.1007/s12274-016-0994-0 13 doi:10.1007/s12274-016-0994-0 ISSN: 1998-0124 26. Fardad, S., Das, S., Salandrino, A., Breckenfeld, E., Kim, H., Wu, J., & Hui, R. (2016). All-optical short pulse translation through cross-phase modulation in a VO2 thin film. Optics Letters, 41 , 238-241. 25. OBrien, K., Suchowski, H., Rho, J., Salandrino, A., Kante, B., Yin, X., & Zhang, X. (2015). Predicting nonlinear properties of metamaterials from the linear response. Nature Materials, 14 , 379. 24. Barth, D. S., Gladden, C., Salandrino, A., O'Brien, K., Ye, Z., Mrejen, M., Wang, Y., & Zhang, X. (2015). Macroscale Transformation Optics Enabled by Photoelectrochemical Etching. Advanced Materials . doi:10.1002/adma.201502322 ISSN: 0935-9648 PMID: 26332896 23. Cang, H., Salandrino, A., Wang, Y., & Zhang, X. (2015). Adiabatic Far Field Sub-Diffraction Imaging. Nature Communications, 6 , 8942. http://www.nature.com/ncomms/2015/150810/ncomms8942/full/ncomms8942.html 14 doi:10.1038/ncomms8942 22. Das, S., Salandrino, A., Wu, J. Z., & Hui, R. (2015). Near-infrared electro-optic modulator based on plasmonic graphene. Optics Letters, 40 (7), 15161519. http://ol.osa.org/abstract.cfm?URI=ol-40-7-1516 10 21. Wu, C., Salandrino, A., Ni, X., & Zhang, X. (2014). Electrodynamical Light Trapping Using Whispering-Gallery Resonances in Hyperbolic Cavities. Physical Review X, 4 , 021015. 20. Fardad, S., Salandrino, A., Heinrich, M., Zhang, P., Chen, Z., & Christodoulides, D. N. (2014). Plasmonic resonant solitons in metallic nanosuspensions. Nano letters, 14 (5), 2498-504. doi:10.1021/nl500191e ISSN: 1530-6984 PMID: 24697412 19. Suchowski, H., O`Brien, K., Wong, Z. J., Salandrino, A., Yin, X., & Zhang, X. (2013). Phase-mismatch Free Nonlinear Propagation in Optical Zero Index Materials. Science, 342 , 1223-1226. 18. Salandrino, A., Fardad, S., & Christodoulides, D. N. (2012). Generalized Mie Theory of optical forces. Journal of the Optical Society of America B, 29 , 855. 17. Zhang, P., Hu, Y., Cannan, D., Salandrino, A., Li, T., Morandotti, R., Zhang, X., & Chen, Z. (2012). Generation of linear and nonlinear nonparaxial accelerating beams. Optics Letters, 37 , 2820. 16. Minovich, A., Klein, A. E., Liu, W., Salandrino, A., Janunts, N., Shadrivov, I. V., Miroshnichenko, A. E., Pertsch, T., Neshev, D. N., Christodoulides, D. N., & Kivshar, Y. S. (2011). Airy Plasmons: Bending Light on a Chip. Optics & Photonics News, 22 (12), 35. (Invited) 15. Salandrino, A., & Christodoulides, D. N. (2011). Reverse optical forces in negative index dielectric waveguide arrays. Optics Letters, 36 , 3103. 14. Salandrino, A., & Christodoulides, D. N. (2011). Superresolution via enhanced evanescent tunneling. Optics Letters, 36 , 487. 13. Salandrino, A., & Christodoulides, D. N. (2010). Airy plasmon: a nondiffracting surface wave. Optics Letters, 35 , 2082. 12. Salandrino, A., & Christodoulides, D. N. (2010). Negative index Clarricoats-Waldron waveguides for terahertz and far infrared applications. Optics Express, 18 , 3626. 11. Li, J., Salandrino, A., & Engheta, N. (2009). Optical Spectrometer at the nanoscale using optical Yagi-Uda nanoantennas. Physical Review B, 79 , 195104. 10. Salandrino, A., Makris, K., Christodoulides, D. N., Lahini, Y., Silberberg, Y., & Morandotti, R. (2009). Analysis of a three-core adiabatic directional coupler. Optics Communications, 282 , 4524. 9. Holloway, C. L., Love, D. C., Kuester, E. F., Salandrino, A., & Engheta, N. (2008). Sub-wavelength resonators: On the use of metafilm to overcome the lambda/2 size limit. IET Microwaves Antennas and Propagation, 2 , 120. 8. Al, A., Salandrino, A., & Engheta, N. (2007). Coupling of optical lumped nanocircuit elements and effects of substrates. Optics Express, 15 , 13865. 7. Al, A., Salandrino, A., & Engheta, N. (2007). Parallel, series, and intermediate interconnections of optical nanocircuit elements. 2. Nanocircuit and physical interpretation. Journal of the Optical Society of America B, 24 , 3014. 6. Al, A., Silveirinha, M. G., Salandrino, A., & Engheta, N. (2007). Epsilon-Near-Zero Metamaterials and Electromagnetic Sources: Tailoring the Radiation Phase Pattern. Physical Review B, 75 , 155410. 5. Li, J., Salandrino, A., & Engheta, N. (2007). Shaping the Beam of Light in Nanometer Scales: A Yagi-Uda Nanoantenna in Optical Domain. Phys. Rev. B, 76 , 245403. 4. Salandrino, A., Al, A., & Engheta, N. (2007). Parallel, series, and intermediate interconnections of optical nanocircuit elements. 1. Analytical solution. Journal of the Optical Society of America B, 24 , 3007-3013. 3. Al, A., Salandrino, A., & Engheta, N. (2006). Negative effective permeability and left-handed materials at optical frequencies. Optics Express, 14 , 1557. 2. Salandrino, A., & Engheta, N. (2006). Far-Field Subdiffraction Optical Microscopy Using Metamaterial Crystals: Theory and Simulations. Physical Review B, 74 , 075103.press coverage and highlights: -Nature Physics 2, 651, Research Highlights (2006) -Physics News Update, AIP Bulletin of Physics News, No. 823-7, May 8, 2007 1. Salandrino, A., Engheta, N., & Al, A. (2005). Circuit Elements at Optical Frequencies: Nano-Inductor, Nano-Capacitor, and Nano-Resistor. Physical Review Letters, 95 , 95504. press coverage and highlights: -Physics News Update, AIP Bulletin of Physics News, No. 737-1, July 14, 2005 -Science Daily, Sept. 27, 2005 -Nanotechnology Now, September 28, 2005 Conference Proceedings Total: 30 30. Blunt, S. D., Allen, C., Arnold, E., Hale, R., Hui, R., Keshmiri, S., Leuschen, C., Li, J., Paden, J., Rodriguez-Morales, F., Salandrino, A., & Stiles, J. M. (2017). Radar research at the University of Kansas. In SPIE Defense+ Security (pp. 1018817-1018817-12). International Society for Optics and Photonics. (Invited) 29. Salandrino, A., & Ramos, E. A. (2017). High-Order plasmonic resonances in time-varying media. In SPIE Nanoscience+ Engineering . (Invited) 28. Bart, D., Gladden, C. W., Salandrino, A., Ye, Z., Mrejen, M., Wang, Y., & Zhang, X. (2016). Macroscale transformation optics enabled by photoelectrochemical etching of silicon. In SPIE Nanoscience+ Engineering . 27. Symm, E. D., & Salandrino, A. (2016). Accessing High-Order Resonances in Plasmonic Nanostructures. In SPIE Nanoscience+ Engineering . (Invited) 26. Salandrino, A., McCormick, P., Balcazar, M. D., & Blunt, S. D. (2016). Spatially Modulated Metamaterial Array for Transmit (SMMArT) and Slow-Leaky-Wave Antennas. In IEEE Intl. Symp. Phased Array Systems & Technology, Waltham, MA, 18-21 Oct. 2016 . (Invited) 25. Salandrino, A., Chachayma Farfan, D. J., McCormick, P., Symm, E. D., & Blunt, S. D. (2016). Spatially Modulated Metamaterial Array for Transmit (SMMArT). In IEEE Radar Conference . 24. Salandrino, A. (2015). Coherent effects in nonlinear metamaterial-based devices. In SPIE Nanoscience+ Engineering (pp. 95440D95440D). (Invited) 23. Fardad, S., Man, W., Zhang, Z., Salandrino, A., Heinrich, M., Chen, Z., & Christodoulides, D. N. (2014). Dielectric and metallic nanosuspesions with tunable optical nonlinearities. In SPIE NanoScience+ Engineering (pp. 91620N91620N). 22. OBrien, K., Suchowski, H., Wong, Z. J., Salandrino, A., Yin, X., & Zhang, X. (2014). Nonlinear optics in zero index materials. In Conference on Lasers and Electro-Optics (CLEO), 2014 (pp. 12). 21. Salandrino, A., Cang, H., Wang, Y., & Zhang, X. (2014). Sub-diffraction Imaging via Surface Plasmon Decompression. In CLEO: QELS_Fundamental Science (pp. FTu1K1). 20. Salandrino, A., et al. (2014). Bimodal Phase-Matching in Hybrid Photonic Plasmonic Systems. In Gordon Research Conference - Plassmonics . (Invited) 19. OBrien, K. P., Suchowski, H., Rho, J. S., Salandrino, A., Kante, B., Yin, X., & Zhang, X. (2013). Mode matched harmonic generation in plasmonic nanostructures. In CLEO: QELS_Fundamental Science (pp. QTu2B3). 18. Fardad, S., Salandrino, A., Chen, Z., & Christodoulides, D. N. (2012). Anomalous optical forces on a Mie-particle in a transverse Poynting vector flow. In CLEO - QELS Quantum Electronics and Laser Science Conference (pp. QW3E3). 17. Zhang, P., Hu, Y., Cannan, D., Salandrino, A., Li, T., Morandotti, R., Zhang, X., & Chen, Z. (2012). Demonstration of nonparaxial beams self-bending along circular trajectories. In Frontiers in Optics (pp. FTh1F5). 16. Salandrino, A., & Christodoulides, D. (2011). Optical tractor beams in scattering-induced left-handed fields. In CLEO - QELS Quantum Electronics and Laser Science Conference (pp. QTuI7). 15. Ren, H., Salandrino, A., Siviloglou, G. A., & Christodoulides, D. N. (2010). Anomalous optical force fields around high-contrast subwavelength nanowaveguides. In CLEO - QELS Quantum Electronics and Laser Science Conference (pp. QMA4). 14. Salandrino, A., Padilha, L. A., Webster, S., Fuentes-Hernandez, C., Kippelen, B., Hagan, D. J., & Van Stryland, E. W. (2008). Observation of plasmonic field-enhancement of the nonlinear response of gold thin films. In CLEO - QELS Quantum Electronics and Laser Science Conference (pp. QThA6). 13. Li, J., Salandrino, A., & Engheta, N. (2007). Ideas for Optical Nanoantenna Design: From Microwave to Visible Frequencies. In Frontiers in Optics (pp. FThF5). 12. Alu, A., Silveirinha, M., Salandrino, A., & Engheta, N. (2006). Source Interaction with Epsilon-Near-Zero (ENZ) Materials. In Organic Photonics and Electronics (pp. JWD18). 11. Engheta, N., Alu, A., Salandrino, A., Li, J., Silveirinha, M. G., & Edwards, B. E. (2006). From Plasmonic Nanocircuit Elements to Volumetric Photonic Negative-Refraction Metamaterials. In Frontiers in Optics (pp. FMH2). 10. Engheta, N., Alu, A., Silveirinha, M. G., Salandrino, A., & Li, J. (2006). DNG, SNG, ENZ and MNZ metamaterials and their potential applications. In Electrotechnical Conference, 2006. MELECON 2006. IEEE Mediterranean (pp. 258261). 9. Krishnan, D., Salandrino, A., & Engheta, N. (2006). Binary Encoding and Nanotagging Using Plasmonic Core-Shell Nanoparticles. In Organic Photonics and Electronics (pp. JWD63). 8. Li, J., Salandrino, A., & Engheta, N. (2006). Optical yagi-uda and reflector nanoantennas and their potential applications as nano-scale spectrum analyzers in molecular spectroscopy. In Frontiers in Optics (pp. FWC4). 7. Li, J., Salandrino, A., & Engheta, N. (2006). Radiation Characteristics and Beam Forming of Multi-Particle Nanoantennas at Optical Frequencies. In IEEE International Workshop on Antenna Technology Small Antennas and Novel Metamaterials (pp. 432433). 6. Salandrino, A., Edwards, B. E., & Engheta, N. (2006). Sub-Diffraction Optical Lenses for Use in Far-Field Sub-Wavelength Optical Microscopy (FSOM). In Frontiers in Optics (pp. FWX2). 5. Engheta, N., Alu, A., & Salandrino, A. (2005). Double-Negative and Single-Negative Metamaterials at Optical Frequencies. In Proceedings of the XXVIIIth URSI General Assembly, New Delhi . 4. Engheta, N., Alu, A., & Salandrino, A. (2005). Nanocircuit elements, nano-transmission lines and nano-antennas using plasmonic materials in the optical domain. In IEEE International Workshop on Antenna Technology: Small Antennas and Novel Metamaterials, 2005. IWAT 2005. (pp. 165168). 3. Engheta, N., Li, J., & Salandrino, A. (2005). Pattern Synthesis in Optical Nano-Antennas Using Collections of Metallic Nanoparticles. In Frontiers in Optics (pp. FTuC3). 2. Engheta, N., Salandrino, A., & Alu, A. (2005). Conjoined nanoparticles as parallel or series circuit elements at optical frequencies. In USNC/CNC/URSI National Radio Science Meeting, Washington, DC, USA (pp. 14). 1. Engheta, N. (2005). Negative Magnetic Response and Left-Handed Metamaterials in the Optical Domain Using Plasmonic Nanostructures. In APS Meeting (Vol. 1, pp. 16011). Other Publications Total: 1 1. Salandrino, A., & Christodoulides, D. (2011). Viewpoint: Airy plasmons defeat diffraction on the surface. In APS Physics (Vol. 4, pp. 69). (Invited) Show Selected Publications 5 EECS Application Login EECS Gradplanner Login EECS Shop Department Events Please update your browser to view the iframe content. Your browser must support JavaScript to view this content. Please enable JavaScript in your browser settings then try again. KU Today Students to present at Kansas Undergraduate Research Day at the Capitol All KU News Give to KU Why KU Apply High school seniors can apply to the SELF Program, a four-year enrichment and leadership experience Engineering students build concrete canoes, Formula race cars, unmanned planes, and rockets for competitions nationwide More first and second place awards in student AIAA aircraft design contests than any other school in the world One of 34 U.S. public institutions in the prestigious Association of American Universities 44 nationally ranked graduate programs. 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ALA 5th nationwide for service to veterans "Best for Vets: Colleges," Military Times Links on this page: http://eecs.ku.edu/sites/eecs.ku.edu/files/docs/cv/2017%20-%20Vita%20-%20Salandrino.pdf http://eecs.ku.edu/people/vcard/asalandr.vcf https://scholar.google.com/citations?user=ZX0I5pcAAAAJ&hl=en a.salandrino@ku.edu http://eecs.ku.edu/alessandro-salandrino#tabSummary http://eecs.ku.edu/alessandro-salandrino#link1 http://eecs.ku.edu/alessandro-salandrino#link3 http://dx.doi.org/10.1007/s12274-016-0994-0%C2%A0doi:10.1007/s12274-016-0994-0%C2%A0ISSN: http://www.nature.com/ncomms/2015/150810/ncomms8942/full/ncomms8942.html%C2%A0doi:10.1038/ncomms8942 http://ol.osa.org/abstract.cfm?URI=ol-40-7-1516 http://ol.osa.org/abstract.cfm?URI=ol-41-15-3615 http://link.aps.org/doi/10.1103/PhysRevB.93.161109 http://dx.doi.org/10.1007/s12274-016-0994-0 http://www.nature.com/ncomms/2015/150810/ncomms8942/full/ncomms8942.html Contact Electrical Engineering and Computer Science eecs-info@ku.edu 785-864-4620 2001 Eaton Hall 1520 West 15th Street University of Kansas Lawrence, KS 66045-7608 Degree Accreditation Information Enrollment & Graduation Data EECS Resources News Publications Facilities Webmail Alumni Cadence Undergraduate Graduation Planner Prospective Students Disciplines Undergraduate Programs Graduate Programs Facilities Degree Accreditation Enrollment & Graduation Data Current Students New Students Undergraduate Students Graduate Students EECS Courses Facilities Faculty Documents & Forms EECS Courses Facilities Faculty & Staff Faculty Chairpersons Administrative Staff Technical Staff Research Focus Areas Reseach Centers Defense Notices Academics Accessible KU Admissions Alumni Athletics Campuses Giving Jobs Safety Contact KU Lawrence, KS | Maps The University of Kansas prohibits discrimination on the basis of race, color, ethnicity, religion, sex, national origin, age, ancestry, disability, status as a veteran, sexual orientation, marital status, parental status, gender identity, gender expression, and genetic information in the university's programs and activities. Retaliation is also prohibited by university policy. The following persons have been designated to handle inquiries regarding the nondiscrimination policies and are the Title IX coordinators for their respective campuses: Director of the Office of Institutional Opportunity & Access, IOA@ku.edu , Room 1082, Dole Human Development Center, 1000 Sunnyside Avenue, Lawrence, KS 66045, 785-864-6414, 711 TTY (for the Lawrence, Edwards, Parsons, Yoder, and Topeka campuses); Director, Equal Opportunity Office, Mail Stop 7004, 4330 Shawnee Mission Parkway, Fairway, KS 66205, 913-588-8011, 711 TTY (for the Wichita, Salina, and Kansas City, Kansas medical center campuses). diff --git a/src/data/compiled_bios/425.txt b/src/data/compiled_bios/425.txt new file mode 100644 index 0000000000..e4015723af --- /dev/null +++ b/src/data/compiled_bios/425.txt @@ -0,0 +1 @@ +Gao Cong ( ) Block N4, 2c-103 School of Computer Science and Engineering Nanyang Technological University Email gaocong at ntu.edu.sg Short Biography 2018 -- present: Professor, Nanyang Technological University, Singapore. 2015 -- 2018: Associate Professor, Nanyang Technological University, Singapore. 2010 -- 2015:Assistant Professor, Nanyang Technological University, Singapore. Affiliated to the Data Management Research Group ( DANTE ) 2008 -- 2010: Assistant Professor, Department of Computer Science , and Center for Data-intensive Systems (Daisy), Aalborg University, Denmark 2007 -- 2008: Researcher, Microsoft Research Asia 2004 -- 2006:Postdoc Research Fellow,the Database group within the School of Informatics of University of Edinburgh . 2000 -- 2004: Ph.D. student and Pre-doc, Department of Computer Science , National University of Singapore, Singapore. 1999 -- 2000: ShenZhen Huawei Company , China 1992 -- 1999: Master and Bachelor, Tianjin University ,China. My long CV can be found here . Research Interests Geospatial and textual data management Data mining and large scale data analytics Mining social networks and social media My past research interests include: Classifying gene expression data: Classifying tool RCBT using top-k covering rule groups in SIGMOD05 paper is available here (Linux version), or here (together with several other tools for mining microarray data from my Ph.D. advisor Anthony s group). The datasets used in our SIGMOD05 paper are available here Mining interesting association rules and frequent patterns XML, Data cleaning Research Projects Publish/Subscribefortextual data stream Exploring and querying geo-textual data Mining users' spatial-temporal behaviours and context-aware POI recommendation Finding influential users in social networks Mining social media, reviews, and forums Publications ( By year ) My Google Scholar Profile , my ACM author profile , and my papers @ [ DBLP ] Released data and code Demonstration of some of our research Main Admin Duty co-director for SCALE@NTU Corp Lab (SingTel-NTU Corp Lab) Assistant Chair (Alumni and outreach), School of Computer Science and Computer Engineering Research Students Please feel free to contact me if you are interested in doing a Ph.D. I am delightful to work with some great students: Yiding LIU Xiucheng LI Jin Yao CHIN Quang Vinh Dang TRAN (co-supervised with Xiaoli from A star) Junghoon Kim Yue Chen (co-supervisor, co-supervised with Prof Chee Yeow Meng) Nguyen Thanh Tung (co-supervisor, co-supervised with Shafiq) Alumni: Zhida CHEN Di Yao (Visiting student from Chinese Academic of Sciences, 2018 ) Daniel Rugeles (co-supervised with Manoranjan and Zhen Hai ) Ali Zonoozi (co-supervised with Xiaoli from A star. Employment: Grab) Tao Guo ( Employment: NUS ) Kaiyu FENG (Employment: NTU) Kaiqi ZHAO (Employment: NTU) Tuan-Anh Nguyen PHAM (Employment: Roll-Royce-NTU lab) Shanshan FENG (Employment: IHPC, A star) Yaqiong Liu (co-supervised with Prof Seah Hock Soon, Employment: Beijing University of Posts and Telecommunications Beijing ) Lisi CHEN (PhD, 2016, First employment: Assistant Prof @Hong Kong Baptist University ) Zongcheng Ji (Postdoc, 2015) Xutao Li (Postdoc, 2013-2015, Employment: Associate Prof @Harbin Institute of Technology) Miao Xie (Visting student from Chinese Academic of Sciences, 2014-2015) Jinpeng Wang (Visiting student from Peking University, 2014) Quan YUAN (PhD 2015, First employment: Postdoc @ UIUC) Xin Cao ( PhD 2014, First employment: Lecturer @ Queen's University Belfast) Zhen Hai (PhD 2014, Employment: Research Scientist @ I2R, A star) Kelvin SIM (PhD 2012) Wei Wei ( Visiting student from Huazhong , Sept 2010- Feb 2011 --> NTU) Ying Lu ( Visiting student from Renmin , Sept 2010- May 2011 --> USC) Bo Liu (Postdoc, 2012 --> Facebook) Chuancong Gao (RA, 2012 --> SFU) Teaching Database System Principles, 2013, NTU Database Systems 2012 Spring (lecture +2 tutorial groups + 2 Lab groups), NTU Information Retrieval 2011 Spring ( with Jung-jae Kim ), NTU Database Systems 2011 Spring (2 tutorial groups + 2 Lab groups), NTU Natural Language Processing 2010, 2011 (with Jung-jae Kim), NTU Algorithms 2010 (2 tutorial groups), 2011 Fall (3 tutorial groups), NTU Database Systems 2010 (1 tutorial group), NTU Internet Technologies 2009 , AAU Database Technology 2009 (with Simonas, and Ira), AAU 2 SW3 Groups 2009, AAU Semester Coordinator for SW3 2009, AAU 1 DAT5 Group 2009, AAU 1 DAT4 Group 2009, AAU Data warehouse and Data mining 2008 Fall (with Thomas and Manfred) , AAU Introduction to Internet Technologies 2008 (with Ken, Man Lung Yiu ) , AAU Database Technology 2008(with my colleagues), AAU 1 DAT5 Group 2008 (Co-supervised with Torben ), AAU Services Associate editor, ACM transactions on Database Systems PC co-chair for ADC'18 PC co-chair for PhD forum and posters Track of ASONAM PC co-chair for the 13th International Conference on Advanced Data Mining and Applications (ADMA'17) PC vice-chair for ICDE'18 PC co-chair for E&A track of PVLDB'14 Publication chair for The 25th Pacific Asia Conference on Language Information and Computing (PACLIC) , 2011 Program Committee Senior PC for CIKM17, IEEE Big Data17 2018: VLDB, SIGMOD, WWW, KDD, DASFAA, etc. 2017: VLDB, CIKM, WWW, WSDM, AAAI, ICDM, IEEE Big Data, SSTD, SIGSpatial, DASFAA, etc. 2016: KDD, ICDM, VLDB, CIKM, WWW, AAAI, IEEE Big Data, etc. 2015: SIGKDD, WWW,ICDE, ACL, DASFAA, WAIM, CIKM 2014: SIGKDD, WWW,CIKM, SDM, ICDE, DASFAA, ACL, EMNLP, ICWSM, WAIM 2013: PVLDB, SIGKDD, ICDM, SDM, CIKM, ICDE, PAKDD, WWW, DASFAA, 2012: PVLDB, ICDE, NAACL-HLT, DASFAA, PAKDD, SIGKDD, ICDM, CIKM, SIGIR Poster, ASONAM 2011: ICDE; DASFAA; ASONAM; ADC; DEXA; SIGIR poster; EMNLP; AINA; CIKM 2010: KDD; ACL; ICDM ; WWW; DASFAA; DEXA; DNIS; ICDKE; HPCC; ASONAM 2009: VLDB; ICDE; ICDM; PAKDD; DEXA; APWeb ; ASONAM 2 008: SIGMOD; VLDB; KDD; ICDM; DEXA; XANTEC; WWW Poster; Apweb ; DASFAA; AReS ; WAIM; Seminar coordinator for Edinburgh Database group's weekly seminar Feb. - Sept. 2006 diff --git a/src/data/compiled_bios/4250.txt b/src/data/compiled_bios/4250.txt new file mode 100644 index 0000000000..3f3f885e2b --- /dev/null +++ b/src/data/compiled_bios/4250.txt @@ -0,0 +1 @@ + Chris Seasholtz Toggle navigation Home Teaching Projects Research Chris Seasholtz University of Kansas BEST Building, Office 250F 12604 Quivira Road Overland Park, KS 66213 chris@ku.edu About I am currently an Assistant Professor of Practice in the Electrical Engineering and Computer Science Department at the University of Kansas. I teach 4 courses for the undergraduate Information Technology program, located at the KU Edwards Campus: IT 380, IT 416, IT 420, and IT 424. I am also pursuing a Ph.D. in Computer Science, focusing on Information Security. My research interests include: Security of Unmanned Aerials Vehicles, IoT Security, and Systems Security. I founded the KU Information Security Club in 2014 and am the faculty adviser for the BSIT Information Security Club. Theme by orderedlist diff --git a/src/data/compiled_bios/4251.txt b/src/data/compiled_bios/4251.txt new file mode 100644 index 0000000000..401820630f --- /dev/null +++ b/src/data/compiled_bios/4251.txt @@ -0,0 +1 @@ + Dr. Suzanne M. Shontz Associate Professor Department of Electrical Engineering and Computer Science Graduate Program in Bioengineering Information and Telecommunication Technology Center University of Kansas Contact information: Department of Electrical Engineering and Computer Science The University of Kansas 1520 West 15th Street 2001 Eaton Hall Lawrence, KS 66045 EECS Office: 3016 Eaton Hall E-mail address: shontz@ku.edu Phone: 785-864-8816 ITTC Office: 203 Nichols Hall E-mail address: shontz@ittc.ku.edu Phone: 785-864-8816 Curriculum Vitae: [PDF] (Updated on 1/31/19.) Biography Suzanne Shontz received her Ph.D. in applied mathematics from Cornell University in 2005. She received her B.A. in mathematics and B.S. in chemistry from the University of Northern Iowa in 1999 and her M.S. degrees in computer science and applied mathematics from Cornell University in 2002. Prior to joining The University of Kansas in August 2014, she was on the faculty at Mississippi State and The Pennsylvania State University . Previously, Dr. Shontz was a postdoctoral associate in the Department of Computer Science and Engineering and a Minnesota Supercomputing Institute Research Scholar at the University of Minnesota . Professor Shontz is the recipient of a 2011 NSF Presidential Early CAREER Award (NSF PECASE Award) from the White House for her 2010 NSF CAREER Project on parallel dynamic meshing algorithms, theory, and software for simulation-assisted medical interventions. NSF recently featured Prof. Shontz's research in this video . The citation for Dr. Shontz's NSF PECASE Award is as follows: Suzanne M, Shontz of Pennsylvania State University "For exemplary research in computational and data-enabled science and engineering that bridges applied mathematics, computer science, and scientific applications, and for contributions to education, including new curricula and approaches that encourage diversity in this emerging field." Photos from the PECASE Ceremonies. Top row, left to right: Dr. Shontz receiving her NSF PECASE Award; Dr. Shontz with NSF OCI CAREER Program Director, Gabrielle Allen, and Future NSF OCI CAREER Program Director, Daniel Katz; Dr. Shontz on the White House steps after meeting with President Obama and the 95 other PECASE Awardees. Bottom row: President Barack Obama addresses 2011 Presidential Early Career Awards for Scientists and Engineers (PECASE) recipients in the East Room of the White House, July 31, 2012. (Official White House Photo by Pete Souza). Prof. Shontz received the Young Alumnus Award from the University of Northern Iowa in 2017; the award recognizes alumni who have demonstrated success early in their career (age 40 and under) and who has been active in the life of the university. In 2016, she received the Miller Scholar Award at the University of Kansas; the award is for for research excellence, including a DURIP award for high-performance computing and visualization instrumentation. She received a Big 12 Faculty Fellowship in 2015 which enabled her to collaborate with faculty at Iowa State University on a computational materials science project. In 2012, Prof. Shontz was selected as the December 2012/January 2013 College of Arts and Sciences Researcher of the Month at Mississippi State University. In 2009, she received an Office of Naval Research Summer Faculty Fellowship for her research in computational materials science. In 2007, she was selected as the Computer Engineering Faculty Marshall for the Spring Commencement exercises at Penn State. Prof. Shontz received a National Physical Science Consortium Fellowship from 1999-2004 and an Honorable Mention for the Alice T. Schafer Prize for Women in Mathematics in 1999. Prof. Shontz has presented her research at several international and national venues. Selected recent presentations include talks at the 2018 Banff International Research Station (BIRS) Workshop on Adaptive Numerical Methods for Partial Differential Equations with Applications, the 2018 SIAM Imaging Science Conference, the 2018 International Conference on Spectral and High Order Methods, the 25th International Conference on Domain Decomposition, and the 2018 International Symposium on Isogeometric Analysis and Mesh Generation. In 2018, she also presented her research at the University of Southern Mississippi. Research Professor Shontz's research interests lie in the area of parallel scientific computing. In particular, her research focuses on the development of unstructured meshing, numerical optimization, model order reduction, and numerical linear algebra algorithms and their applications to computational medicine, imaging sciences, materials, and electronic circuits, among others. Recent projects have included the design of efficient algorithms for high-order mesh generation, parallel meshing, dynamic mesh generation, mesh optimization, mesh untangling, and mesh adaptation for applications ranging from medical devices to elasticity to solid mechanics. Other recent projects have involved the development of optimization algorithms for effective generation of computational meshes and model order reduction techniques to reduce electronic circuit networks for use in circuit simulations. Click here for results of my NSF CISE project (2017-2020). Click here for results of my NSF CAREER project (2011-2017). Click here for recent publications. Research Group and Collaborators Michael Stees (Ph.D. Student, Computer Science, The University of Kansas) Fariba Mohammadi (Ph.D. Student, Mechanical Engineering, The University of Kansas; Co-advised with Ken Fischer) Moein Moradi (Ph.D. Student, Mechanical Engineering, The University of Kansas; Co-advised with Lisa Friis) Myra Dotzel (B.S. Student, Computer Science and Mathematics, Minor: Visual Arts, The University of Kansas) Dr. Sayaka Akioka (Visiting Scholar, Associate Professor, Meiji University, Tokyo, Japan) Alumni Dr. Aruquia Barbosa Matos Peixoto (Visiting Faculty from Centro Federal de Educacao Tecnologica Celso Suckow da Fonseca (CEFET/RJ), Brazil; Information and Telecommunication Technology Center, The University of Kansas) Dr. Maurin Alberto Lopez Varilla (Postdoctoral Researcher, Information and Telecommunication Technology Center, The University of Kansas; September 2015-December 2016) Dr. Thap Panitanarak (Ph.D. in Computer Science and Engineering, The Pennsylvania State University; August 2017. Co-advised with Kamesh Madduri.) Jibum Kim (Ph.D. in Computer Science and Engineering, The Pennsylvania State University; December 2012; First position: Postdoc at Los Alamos National Laboratory) Shankar Prasad Sastry (Ph.D. in Computer Science and Engineering, The Pennsylvania State University; August 2012; First position: Postdoc at the Scientific Computing and Imaging Institute at the University of Utah) Kenneth Czuprynski (Co-advised with John Fahnline (ARL); M.S. in Computer Science and Engineering, The Pennsylvania State University; May 2012; First position: Ph.D. student in Applied Mathematics at the University of Iowa) Dragos Mihai ("Mike") Nistor (M.S. in Computer Science and Engineering, B.S. Honors in Computer Science and Statistics, The Pennsylvania State University; May 2012; First position: Mathworks) Omar Alzubbi (B.S. Student, Neurobiology and Interdisciplinary Computing, The University of Kansas; First position: B.S. student in Interdisciplinary Computing at University of Kansas) Rajarshi Bannerjee (B.S. in Computer Science, Mississippi State University; December 2015; First position: Unknown) Ikaro Ruan Penha Costa (B.S. Student, Civil Engineering, Federal University of Ceara, Brazil Scientific Mobility Program) Jessica Sayuri Tahara (B.S. Student, Computer Engineering, Universidade de Sorocaba, Brazil Scientific Mobility Program) Rafael Brito De Sousa Veras (B.S. Student, Electrical Engineering, Universidade Cruzeiro do Sul, Brazil Scientific Mobility Program) Matthew Judson (B.S. in Mathematical Sciences, Mississippi State University; May 2014; First position: Graduate student in Mathematical Sciences at Mississippi State University) Rachel Fuehrer (B.S. in Computational Mathematics, The Pennsylvania State University; May 2012; First position: Statistician, Census Bureau); CREU Project Nicholas Voshell (M.Eng. in computer Science and Engineering, The Pennsylania State University, December 2010; First position: Microsoft) Jeonghyung Park (M.S. in Computer Science and Engineering, The Pennsylvania State University, August 2009; First position: Ph.D. student in CSE at Penn State) Kyle Wray (B.S. in Computer Science, The Pennsylvania State University, December 2009; First position: M.S. student in CSE at Penn State) Patrick Kasting (B.S. with Honors, Computer Science, The Pennsylvania State University, May 2007; First position: InfoSoft International) Collaborators at University of Kansas: Weizhang Huang , Shawn Keshmiri , ZJ Wang , Zhongquan (Charlie) Zheng , James Miller , Alessandro Salandrino , and Brian Laird . Collaborators at Mississippi State: Ioana Banicescu , David Marcum Eric Collins , Qiuhan Arnoldus , Roger King , and Hyeona Lim . Collaborators at Penn State: Corina Drapaca , Mahmut Kandemir , Emre Kultursay , Padma Raghavan , Frank Lynch , Keefe Manning , Brent Craven , Rob Campbell , Rick Medvitz, Rick Tutwiler, Matthew Baran, and Shawn Hough. Collaborators at other institutions: Steve Vavasis (University of Waterloo), Yousef Saad (University of Minnesota), James Chelikowsky (University of Texas at Austin), Sanjukta Bhowmick (University of Nebraska at Omaha), Michael Singer (Lawrence Livermore National Laboratory), Patrick Knupp (SNL-NM), Lori Diachin (LLNL), Todd Munson (ANL), Patricia Hough (SNL-CA), Victoria Howle (Texas Tech University); Wil Schilders (Technical University of Eindhoven); Nico Banagaaya (Technical University of Eindhoven); Odile Marcotte (Universite de Montreal); Petko Kitanov (University of Guelph); Noam Bernstein (Naval Research Laboratory), David McLaurin (CD-adapco), Brian Miller (LLNL), Shankar Prasad Sastry (University of Utah), Jibum Kim (Incheon National University), Thomas Hacker (Purdue University), Linwei Wang (Rochester Institute of Technology), Cristian Linte (Rochester Institute of Technology), Niels Otani (Rochester Institute of Technology), Jerome Goddard (Auburn University), and Baskar Ganapathysubramanian (Iowa State University). Teaching University of Kansas: Spring 2019: EECS 560: Data Structures EECS 739: Parallel Scientific Computing Fall 2018: EECS 639: Introduction to Scientific Computing Spring 2018: None. Fall 2017: EECS 560: Data Structures EECS 639: Introduction to Scientific Computing Spring 2017: EECS 739: Parallel Scientific Computing Fall 2016: EECS 639: Introduction to Scientific Computing EECS 868: Mathematical Optimization with Applications Spring 2016: EECS 739: Scientific Parallel Computing EECS 801: Numerical PDEs and Meshing Techniques (Independent Study) Fall 2015: EECS 560: Data Structures Spring 2015: EECS 739: Scientific Parallel Computing Fall 2014: EECS 700: Computer Modeling, Simulation, and Visualization Mississippi State: I taught the following courses at Mississippi State: MA 3113: Introduction to Linear Algebra MA 4313/6313: Introduction to Numerical Analysis I MA 4990/6990: Simulation Modeling MA 8443: Numerical Solution of Partial Differential Equations I. Penn State: I taught the following courses at Penn State: CMPSC/Math 451 Numerical Computations CMPSC/Math 455 Introduction to Numerical Analysis I CMPSC/Math 456 Introduction to Numerical Analysis II CSE/Math 555 Numerical Optimization Techniques CSE 598C Meshing Techniques. Some Upcoming Professional Meetings and Conferences 2019 SIAM Conference on Computational Science and Engineering , February 25 - March 1, 2019, Spokane, Washington 2019 International Conference on Adaptive Modeling and Simulation , May 27-29, 2019, Alicante, Spain 15th U.S. National Congress on Computational Mechanics, July 28 - August 1, 2019, Austin, Texas 2019 Supercomputing Conference, November 17-22, 2019, Denver, Colorado diff --git a/src/data/compiled_bios/4252.txt b/src/data/compiled_bios/4252.txt new file mode 100644 index 0000000000..db94abbd72 --- /dev/null +++ b/src/data/compiled_bios/4252.txt @@ -0,0 +1 @@ + James P.G. Sterbenz Professor The University of Kansas Department of Electrical Engineering and Computer Science Communications and Networking Systems Laboratory School of Engineering Edwards Campus Information & Telecommunication Technology Center 3036 Eaton Hall 125U Regents Center 154 Nichols Hall 1520 West 15th St 12600 Quivira Rd 2335 Irving Hill Rd Lawrence Overland Park Lawrence Kansas Kansas Kansas 66045-7621 66213-2402 66045-7612 USA USA USA 38.9576N 95.2527W 38.8989N 94.7249W 38.9521N 95.2640W +1 785 864 8846 +1 913 897 8538 +1 785 864 7890 < jpgs@eecs.ku.edu > < jpgs@ittc.ku.edu > [KU teaching and EECS correspondence] [KU and ITTC research correspondence] Visiting Professor of Computing Computing Department InfoLab 21 Faculty of Applied Sciences Lancaster University Lancaster , Lancashire , UK 54.005N 2.784W < jpgs@comp.lancs.ac.uk > < jpgs@tik.ee.ethz.ch > [Lancaster and European research correspondence] CV ACM < jpgs@acm.org > PO Box 4050 IEEE < jpgs@ieee.org > Lawrence, KS 66046-1050 USA IEEE ComSoc < jpgs@comsoc.org > +1 508 944 3067 IEICE (Japan) < jpgs@m.ieice.org > Skype: jpgsterbenz IEE (UK) < jpgsterbenz@iee.org > < jpgs@sterbenz.org > [professional society correspondence] [other correspondence and urgent telephone calls] Office Hours I am on sabbatical during Spring and Summer 2014 and do not have regularly scheduled office hours. Email if you want to meet. Research My research interests span a wide range of areas in networking and communication among distributed systems and applications, particularly in new, challenging, and novel contexts and application scenarios. The current emphasis is on resilient and survivable networking in the context of future Internet design and engineering. ORCID ID = 0000-0003-0560-3073 Scopus Author ID = 15069656000 ACM author page Mathematics Geneology page EDUCAUSE profile Citations: Google Scholar Microsoft Academic Arnetminer ResearchGate Academia.edu Maybe some day I'll complete and sync all these profiles. And maybe not. Current Projects ResiliNets: Resilient and Survivable Networks (follow this link to a structured organisation of all my research including the rest of the projects in this list) GpENI: Great Plains Environment for Network Innovation ( NSF GENI ) PoMo: PostModern Internetwork Architecture ( NSF FIND ) ResumeNet: Resilience and Survivability for Future Networking ( EU FP7 FIRE ) Highly-Dynamic Airborne Ad Hoc Networking Weather Disruption-Tolerant Mesh Networking Past Projects ANA: Autonomic Networking Architecture ( EU FP6 IST FET SAC ) SUMOWIN high-speed (bandwidth) low-latency networking and communication programmable, active, and cognitive networks Students I am looking for a new PhD student and a few new MS students in the coming year. Important: Prospective students must read this information before contacting me. Publications My book High-Speed Networking: A Systematic Approach to High-Bandwidth Low-Latency Communication Teaching Future, Current, Recent Classes and Tutorials KU EECS 9xx Network Science KU EECS 983 Resilient and Survivable Networking KU EECS 882 Mobile Wireless Networking KU EECS 881 High-Performance Networking KU EECS 780 Communication Networks KU EECS 140 Introduction to Digital Logic Design Lancaster CSM8 Advanced Networking and the Internet: Switching and Routing Tutorial Active and Programmable Networks Old Classes and Tutorials Professional Activities and Service Coming soon. Science Fair Links Lancaster University academic page professional page at sterbenz.org personal page at sterbenz.org Last updated 21 April 2014 Valid XHTML 1.1 Lynx inspected W3C AAA Conformance 19942014 James P.G. Sterbenz < jpgs@ittc.ku.edu.org > diff --git a/src/data/compiled_bios/4253.txt b/src/data/compiled_bios/4253.txt new file mode 100644 index 0000000000..497d528355 --- /dev/null +++ b/src/data/compiled_bios/4253.txt @@ -0,0 +1 @@ + Skip to main content The University of Kansas myKU Email Blackboard Enroll & Pay KU Directory A B C D E F G H I J K L M N O P Q R S T U V W X Y Z All Academics Athletics Your browser must support JavaScript to view this content. Please enable JavaScript in your browser settings then try again. Your browser must support JavaScript to view this content. Please enable JavaScript in your browser settings then try again. Your browser must support JavaScript to view this content. Please enable JavaScript in your browser settings then try again. 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Giving Tech Help Menu Home About Chair's Message Vision & Mission Academic Experience Prospective Students Overview Disciplines Undergraduate Programs Academic Experience Degree Requirements Scholarship & Tuition Admissions Degree Accreditation Graduate Programs Master's Program Ph.D. Programs Research Clusters Applied Electromagnetics Communications Systems Computational Science and Engineering Computer Systems Design Computing in the Biosciences Data Science and Engineering IT Project Management Languages and Semantics Network Engineering Network Systems Radar Systems and Remote Sensing RF Systems Engineering Cyber Security Signal Processing Software Engineering Theory of Computing Graduate Funding Cybersecurity Graduate Certificate Data Science and Engineering Software Engineering and Management Certificate RF Systems Engineering Graduate Certificate Facilities Current Students Overview New Students Undergraduate Graduate Undergraduate Students Graduate Students Master's Programs Ph.D. Programs Research Clusters Defense Notices Cybersecurity Graduate Certificate Data Science Graduate Certificate Software Engineering and Management Certificate RF Systems Engineering Graduate Certificate EECS Courses Facilities Research Facilities Facilities Location EECS Workstation Software Eaton Hall Map EECS Shop Faculty & Staff Faculty Chairpersons Administrative Staff Technical Staff Research Overview Research Clusters Applied Electromagnetics Communications Systems Computer Systems Design Computing in the Biosciences Intelligent Informatics Languages and Semantics Network Engineering Network Systems Radar Systems and Remote Sensing RF Systems Engineering Cyber Security Signal Processing Software Engineering Theory of Computing Defense Notices Research Facilities Alumni & Friends Advisory Board Welcome Alumni! Giving Tech Help Search Search form Search Home James Stiles JAMES STILES James Stiles Associate Professor jstiles@ku.edu 1 Primary office : 785-864-8803 3032 Eaton Hall Summary 2 Bio 3 Academics 4 Publications 5 Contracts/Grants 6 Awards/Honors 6 James M Stiles received a BSEE from the University of Missouri in 1983, an MSEE from Southern Methodist University in 1987, and the PhD in Electrical Engineering from the University of Michigan in 1996. From 1983 to 1990, he was employed as an electrical design engineer for the Defense Systems and Electronics Group of Texas Instruments (now Raytheon). While at TI, he designed wideband microwave receivers and components for electromagnetic sensing systems. From 1990 to 1996, Dr. Stiles was employed as a Graduate Research Assistant at the Radiation Laboratory of the University of Michigan, where he worked on research and experiments related to radar remote sensing. Since 1996, Dr. Stiles has been a faculty member in the Department of Electrical Engineering and Computer Science at the University of Kansas. His research activities at KU have focused entirely on electromagnetic sensing, with a primary interest in radar. Education Ph.D. in Electrical Engineering, University of Michigan, 1995 M.S. in Electrical Engineering, Southern Methodist University, 1987 B.S. in Electrical Engineering, University of Missouri, 1983 Teaching EECS 220 - Electromagnetics I EECS 255 - Electrical Engineering Mathematics EECS 312 - Electronic Circuits I 312 lecture material 7 EECS 412 - Electronic Circuits II EECS 501 - EE Senior Design I EECS 502 - EE Senior Design II EECS 622 - Microwave Radio Transmission Systems 622 lecture material 8 EECS 721 - Antennas 721 lecture material 9 EECS 723 - Microwave Engineeirng 723 lecture material 10 EECS 725 - Introduction to Radar EECS 965 - Estimation and Detection Theory 965 lecture material 11 Memberships Radar and Remote Sensing Laboratory (RSL) 12 Information and Telecommunications Technology Center (ITTC) 13 Selected Publications Google Scholar Page 14 Books and Chapters in Books Stiles, J.M. (2014). Chapter 32: An Introduction to Imaging Radar. In H.D Griffiths, C.J. Baker, & D. Adamy (Eds.), Stimson's Introduction to Airborne Radar, 3rd edition. . Scitech Publishing. Stiles, J.M. (2014). Chapter 33: Principles of Synthetic Aperture Radar. In H.D Griffiths, C.J. Baker, & D. Adamy (Eds.), Stimson's Introduction to Airborne Radar, 3rd edition. . Scitech Publishing. Stiles, J.M. (2014). Chapter 34: SAR Design Considerations. In H.D Griffiths, C.J. Baker, & D. Adamy (Eds.), Stimson's Introduction to Airborne Radar, 3rd edition. . Scitech Publishing. Blunt, S. D., & Stiles, J. M. (2010). Chapter B-I-4: Intra-Pulse Radar-Embedded Communications. In M. Wicks, E. Mokole, S. D. Blunt, V. Amuso, & R. Schneible (Eds.), Principles of Waveform Diversity & Design . SciTech Publishing. Stiles, J., & Sinha, V. (2010). Optimal Space-Time Transmit Signals for Multi-Mode Radar. In M. Wicks, E. Mokole, S. D. Blunt, V. Amuso, & R. Schneible (Eds.), Principles of Waveform Diversity & Design . SciTech Publishing. Journal Articles and Conference Proceedings Tan, P. S., Jakabosky, J., Stiles, J. M., & Blunt, S. (in press). Higher-order Implementations of Polyphase-Coded FM Radar Waveforms. IEEE Transactions on Aerospace and Electronic Systems . Tan, P. S., Stiles, J. M., & Blunt, S. D. (2018). Physically realizing an optimized sparse spectrum via joint design of a collection of FM waveforms. In Radar Conference (RadarConf18), 2018 IEEE (pp. 0703--0708). Blunt, S. D., Allen, C., Arnold, E., Hale, R., Hui, R., Keshmiri, S., Leuschen, C., Li, J., Paden, J., Rodriguez-Morales, F., Stiles, J., et al. (2017). Radar research at the University of Kansas. In Radar Sensor Technology XXI (Vol. 10188, pp. 1018817). Blunt, S. D., Metcalf, J., Jakabosky, J., Stiles, J., & Himed, B. (2017). Multi-waveform space-time adaptive processing. IEEE Transactions on Aerospace and Electronic Systems, 53 (1), 385--404. Tan, P. S., Stiles, J. M., & Blunt, S. D. (2016). Optimizing sparse allocation for radar spectrum sharing. In Radar Conference (RadarConf), 2016 IEEE (pp. 16). Tan, P. S., Jakabosky, J., Stiles, J., & Blunt, S. (2015). On higher-order representations of Polyphase-Coded FM radar waveforms. In Proc. of the 2015 IEEE Radar Conference (RADARCON) (pp. pp. 467-472). ISBN: 978-1-4799-8231-8 Blunt, S. D., Jakabosky, J., Cook, M., Stiles, J. M., Seguin, S., & Mokole, E. (2014). Polyphase-coded FM (PCFM) radar waveforms, part II: optimization. Aerospace and Electronic Systems, IEEE Transactions on, 50 (3), 22302241. Smith-Martinez, B., Agah, A., & Stiles, J. M. (2013). A Genetic Algorithm for Generating Radar Transmit Codes to Minimize the Target Profile Estimation Error. Journal of Intelligent Systems, 22 (4), 503-525. Blunt, S. D., Jakabosky, J., Metcalf, J., Stiles, J., & Himed, B. (2013). Multi-waveform STAP. In Radar Conference (RADAR), 2013 IEEE (pp. 16). Jakabosky, J., Blunt, S. D., & Stiles, J. (2012). Transmitter-in-the-Loop Optimization of Physical Radar Emissions. In 2012 IEEE Radar Conference, pp. 874-879, Atlanta, GA, 23-27 May . Jakabosky, J., Anglin, P., Cook, M., Blunt, S. D., & Stiles, J. (2011). Non-Linear FM waveform design using Marginal Fishers Information with the CPM framework. In 2011 IEEE Radar Conference, pp. 513-518, Kansas City, MO, 23-27 May . Akers, G. A., & Stiles, J. M. (2010). Multilook SAR from measurements partitioned based on synthetic sensor parameters. In Radar Conference, 2010 IEEE, pp.1100-1105, May . Anglin, J. P., & Stiles, J. M. (2010). Radar transmit waveform design for lossy propagation channels. In Waveform Diversity and Design Conference (WDD), 2010 International, pp. 121-125, Aug . Blunt, S. D., Cook, M. R., & Stiles, J. (2010). Embedding information into radar emissions via waveform implementation. In Waveform Diversity and Design Conference (WDD), 2010 International, pp. 195-199, Aug . Blunt, S. D., Yatham, P., & Stiles, J. (2010). Intrapulse Radar-Embedded Communications. Aerospace and Electronic Systems, IEEE Transactions on, 46 (3), 1185-1200. Akers, G. A., & Stiles, J. M. (2009). An approach to ground moving target indication (GMTI) using multiple resolutions of the clutter covariance matrix. In Proc. of the IEEE Radar Conference, Pasadena, California, May 4-8 . Jenshak, J., & Stiles, J. M. (2009). Computation of QAM radar transmit signals with low autocorrelation side lobes. In Proc. of the IEEE Radar Conference, Pasadena, California, May 4-8 . Jenshak, J., & Stiles, J. M. (2009). Transmit coding with a range ambiguity. In Proc. of the Intl. Waveform Diversity and Design Conference, pp. 98-102, Kissimmee, Florida, Feb. 8-13 . Soto, F. P., Stiles, J. M., & Agah, A. (2009). Application of genetic algorithms to transmit code problem of synthetic aperture radar. Journal of Intelligent Systems, 18 (1-2), 102-122. Stiles, J. M., & Jenshak, J. (2009). Sparse Array Construction of using Marginal Fishers Information. In Proc. of the Intl. Waveform Diversity and Design Conference, pp. 202-207, Kissimmee, Florida, Feb. 8-13 . Jenshak, J., & Stiles, J. M. (2008). A fast method for designing optimal transmit codes for radar. In Proc. of the IEEE Radar Conference, Rome, Italy, May . Blunt, S. D., Stiles, J. M., Allen, C., Deavours, D., & Perrins, E. (2007). Diversity Aspects of Radar-Embedded Communications. In Proceedings of the IEEE International Conference on Electromagnetics in Advanced Applications, Turino, Italy, pp. 439-442, Sept. 17-21 . Goodman, N. A., & Stiles, J. M. (2007). On Clutter Rank Observed by Arbitrary Arrays. IEEE Transactions on Signal Processing, 55 (1), 178-186. Stiles, J. M., Sinha, V., & Deekonda, A. T. (2006). Optimal space-time transit signal for multi-mode radar. In Proceedings of the 2006 Waveform Diversity and Design Conference, Lihue, Hawaii, January . Stiles, J. M., Sinha, V., & Nanda, A. P. (2006). Space-time transmit signal construction for multi-mode radar. In Proceedings of the 2006 IEEE Radar Conference, April . Stiles, J., & Goodman, N. A. (2003). Wide area, fine resolution SAR from Multi-Aperture Radar Arrays. In Proc. of the 2003 Advanced SAR Workshop, Montreal, Canada, June . Guo, X., Price, K. P., & Stiles, J. M. (2003). Grasslands Discriminant Analysis Using Landsat TM Multitemporal Data. Photogrammetric Engineering & Remote Sensing, 69 (11), 1255-1262. Goodman, N., & Stiles, J. M. (2003). Resolution and Synthetic Aperture Characterization of Sparse Radar Arrays. IEEE Transactions on Aerospace and Electronics Systems, 39 (3), 921-935. Goodman, N. A., & Stiles, J. M. (2003). Radar satellite constellations: SAR characterization and analysis. In Proc. of the 2003 Advanced SAR Workshop, Montreal, Canada . (Invited) Price, K. P., Guo, X., & Stiles, J. M. (2002). Comparison of Landsat TM and ERS-2 SAR data for discriminating among grassland types in eastern Kansas. Computers and Electronics in Agriculture, 37 , 157-171. Price, K. P., Guo, X., & Stiles, J. M. (2002). Optimal Landsat TM band combinations and vegetation indices for discrimination of six grassland types in eastern Kansas. International Journal of Remote Sensing, 23 (23), 5031-5042. Goodman, N., & Stiles, J. M. (2002). Synthetic Aperture Characterization of Radar Satellite Constellations. In Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, vol. 1, pp. 665-667, June . Stiles, J. M., Apte, A., & Beh, B. (2002). A group theoretic analysis of symmetric target scattering with application to landmine detection. IEEE Transactions on Geoscience and Remote Sensing, 40 , 1802-1814. Goodman, N., Lin, S. C., Rajakrishna, D., & Stiles, J. M. (2002). Processing of multiple receiver, spaceborne arrays for wide-area SAR. IEEE Transactions on Geoscience and Remote Sensing, 40 , 841-852. Goodman, N., & Stiles, J. M. (2001). A general signal processing algorithm for MTI with multiple receive apertures. In Proceedings of the 2001 IEEE Radar Conference, pp. 315-320, May . Goodman, N., & Stiles, J. M. (2001). The information content of multiple receive aperture SAR systems. In Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, July . Stiles, J. M., & Beh, B. (2001). A group theoretic description of bistatic scattering from symmetric subsurface objects. In Proceedings of the SPIE Conference on Detection and Remediation of Mines and Minelike Targets, SPIE vol. 4394, pp.797-805, April . Stiles, J. M., & Goodman, N. (2001). Processing of multi-aperture SAR to produce fine-resolution images of arbitrarily large extent. In Proceedings of the 2001 IEEE Radar Conference, pp. 451-456, May . Stiles, J. M., Goodman, N., & Guruvayurappan. (2001). Minimum mean-squared error GPR processor for resolving shallow objects. In Proceedings of the SPIE Conference on Detection and Remediation of Mines and Minelike Targets, SPIE vol. 4394, pp. 461-469, April . Beh, B., Malik, T., Kreycik, J., & Stiles, J. M. (2000). Detection of symmetrical objects using the bistatic, multipolarimetric, reverse-time migration technique. In Proceedings of the SPIE Conference on Detection and Remediation of Mines and Minelike Targets, SPIE vol. 4038, pp. 1019-1027, April . Goodman, N., & Stiles, J. M. (2000). A MMSE filter for range sidelobe reduction. In Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, pp. 2365-2367, July . Guo, X., Price, K. P., & Stiles, J. M. (2000). Biophysical and spectral characteristics of cool and warm-season grasslands under three land management practices in eastern Kansas. Natural Resources Research, 9 (4), 321-331. Guo, X., Price, K. P., & Stiles, J. M. (2000). Modeling biophysical factors for grasslands in eastern Kansas using Landsat TM data. Transactions of the Kansas Academy of Science, 103 (3-4), 122-138. Guo, X., Price, K. P., & Stiles, J. M. (2000). Modeling biophysical factors for grasslands using Landsat TM data in eastern Kansas. In Proceedings of the Second International Conference on Geospatial Information in Agriculture and Forestry, Vol. 2, pp. 291-298, Jan . Guo, X., Price, K. P., & Stiles, J. M. (2000). Multitemporal spectral characteristics of three land management practices on cool and warm season grasslands in eastern Kansas. In American Society of Photogrammetric Engineering and Remote Sensing Convention (ASPRS), May . Price, K. P., Guo, X., & Stiles, J. M. (2000). Comparison of Landsat TM and ERS-2 SAR data for discriminating among six grassland types in eastern Kansas. In Proceedings of the Second International Conference on Geospatial Information in Agriculture and Forestry, vol. 1, pp. 265-272, Jan . Stiles, J. M., Goodman, N., & Lin, S. (2000). Performance and processing of SAR satellite clusters. In Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, pp. 883-885, July . Lohmeier, S. P., Stiles, J. M., Allen, C. T., Gogineni, P., & Moore, R. K. (2000). The Radar Systems and Remote Sensing Laboratory (RSL) at the University of Kansas. IEEE Geoscience and Remote Sensing Society Newsletter, (113), 11-16. Stiles, J. M., & Sarabandi, K. (2000). Electromagnetic scattering from grassland: Part 1, A fully phase coherent scattering model. IEEE Transactions on Geoscience and Remote Sensing, 38 , 339-348. Stiles, J. M., Sarabandi, K., & Ulaby, F. T. (2000). Electromagnetic scattering from grassland: Part 2, Measured and modeled results. IEEE Transactions on Geoscience and Remote Sensing, 38 , 349-356. Beh, B., Malik, T., & Stiles, J. M. (1999). Symmetric observation of a buried target using multipolarimetric reverse-time migration. In Proceedings of the SPIE Conference on Detection and Remediation of Mines and Minelike Targets, SPIE Vol. 3710, pp. 1118-1127, Orlando, FL, April . Goodman, N., Rajakrishna, D., & Stiles, J. M. (1999). Wide Swath, High Resolution SAR using Multiple Receive Apertures. In Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, pp. 1767-1769, June . Price, K. P., Guo, X., & Stiles, J. M. (1999). Discriminant analysis of Landsat TM multi-temporal data for six grassland management practices in eastern Kansas. In Proceedings of the American Society of Photogrammetric Engineering and Remote Sensing (ASPRS), pp. 498-508, May . Price, K. P., Guo, X., & Stiles, J. M. (1999). Optimal Landsat TM band combinations and vegetation indices for discrimination of six grassland types in eastern Kansas. In Pecora14/Land Satellite Information III, pp. 347-357, Dec . Stiles, J. M., Parra-Bocaranda, P., & Apte, A. (1999). Detection of object symmetry using bistatic and polarimetric GPR observations. In Proceedings of the SPIE Conference on Detection and Remediation of Mines and Minelike Targets, SPIE Vol. 3710, pp. 992-1002, Orlando, FL, April . Martinez, A., Beaty, D. S., Stiles, J. M., & Carr, T. R. (1998). Comparison of ground-penetrating radar reflectivity and rock properties in a sandstone-dominated incised valley-fill deposit. In Proceedings of the 7 th International Conference on Ground-Penetrating Radar, pp. 693-698, May . Stiles, J. M., & Sarabandi, K. (1998). Modeling microwave propagation in a grass vegetation layer. In Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, pp. 1571-1573, July . Stiles, J. M., & Sarabandi, K. (1996). Scattering from cultural grass canopies: A phase coherent model. In Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, pp. 720-722, May . Stiles, J. M., Sarabandi, K., & Ulaby, F. T. (1996). Scattering from cultural grass canopies: Measured and modeled data. In Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, pp. 723-725, May . Stiles, J. M., & Sarabandi, K. (1996). A scattering model for thin dielectric cylinders of arbitrary cross-section and electrical length. IEEE Transactions on Antennas and Propagation, 4 , 260-266. Stiles, J. M., & Sarabandi, K. (1995). A rigorous analysis of the generalized Rayleigh-Gans approximation. In Proceedings of the IEEE Antenna and Propagation Society International Symposium, pp. 802-805, June . Sarabandi, K., Pierce, L. E., Dobson, M. C., Ulaby, F. T., Stiles, J. M., Chiu, T. C., DeRoo, R., Hartika, R., Zambetti, A., & Freeman, A. (1995). Polarimetric calibration of SIR-C using point and distributed targets. IEEE Transactions on Geoscience and Remote Sensing, 33 , 858-866. Stiles, J. M., & Sarabandi, K. (1994). Microwave scattering model for grassland and short vegetation canopies. In Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, pp. 1841-1843, Aug . Stiles, J. M., Sarabandi, K., & Ulaby, F. T. (1993). Microwave scattering model for grass blade structures. IEEE Transactions on Geoscience and Remote Sensing, 31 , 1051-1059. Other Publications Dobson, M. C., Pierce, L., Oh, Y., Stiles, J., & Ulaby, F. (1993). Retrieval of soil moisture and roughness from quad-polarized airborne SAR. In Geoscience and Remote Sensing Symposium, 1993. IGARSS93. Better Understanding of Earth Environment., International (pp. 341vol). Stiles, J., Sarabandi, K., & Ulaby, F. (1992). Polarimetric scattering model for grassy terrain. In Antennas and Propagation Society International Symposium, 1992. AP-S. 1992 Digest. Held in Conjuction with: URSI Radio Science Meeting and Nuclear EMP Meeting., IEEE (pp. 820vol). Ulaby, F., Stiles, J., Sarabandi, K., & Oh, Y. (1991). Model and measurements of the phase statistics of the scattering matrix of distributed surfaces. In Geoscience and Remote Sensing Symposium, 1991. IGARSS91. Remote Sensing: Global Monitoring for Earth Management., International (Vol. 2, pp. 401401). Show All Publications 2 All Publications Books and Chapters in Books Stiles, J.M. (2014). Chapter 32: An Introduction to Imaging Radar. In H.D Griffiths, C.J. Baker, & D. Adamy (Eds.), Stimson's Introduction to Airborne Radar, 3rd edition. . Scitech Publishing. Stiles, J.M. (2014). Chapter 33: Principles of Synthetic Aperture Radar. In H.D Griffiths, C.J. Baker, & D. Adamy (Eds.), Stimson's Introduction to Airborne Radar, 3rd edition. . Scitech Publishing. Stiles, J.M. (2014). Chapter 34: SAR Design Considerations. In H.D Griffiths, C.J. Baker, & D. Adamy (Eds.), Stimson's Introduction to Airborne Radar, 3rd edition. . Scitech Publishing. Blunt, S. D., & Stiles, J. M. (2010). Chapter B-I-4: Intra-Pulse Radar-Embedded Communications. In M. Wicks, E. Mokole, S. D. Blunt, V. Amuso, & R. Schneible (Eds.), Principles of Waveform Diversity & Design . SciTech Publishing. Stiles, J., & Sinha, V. (2010). Optimal Space-Time Transmit Signals for Multi-Mode Radar. In M. Wicks, E. Mokole, S. D. Blunt, V. Amuso, & R. Schneible (Eds.), Principles of Waveform Diversity & Design . SciTech Publishing. Journal Articles and Conference Proceedings Tan, P. S., Jakabosky, J., Stiles, J. M., & Blunt, S. (in press). Higher-order Implementations of Polyphase-Coded FM Radar Waveforms. IEEE Transactions on Aerospace and Electronic Systems . Tan, P. S., Stiles, J. M., & Blunt, S. D. (2018). Physically realizing an optimized sparse spectrum via joint design of a collection of FM waveforms. In Radar Conference (RadarConf18), 2018 IEEE (pp. 0703--0708). Blunt, S. D., Allen, C., Arnold, E., Hale, R., Hui, R., Keshmiri, S., Leuschen, C., Li, J., Paden, J., Rodriguez-Morales, F., Stiles, J., et al. (2017). Radar research at the University of Kansas. In Radar Sensor Technology XXI (Vol. 10188, pp. 1018817). Blunt, S. D., Metcalf, J., Jakabosky, J., Stiles, J., & Himed, B. (2017). Multi-waveform space-time adaptive processing. IEEE Transactions on Aerospace and Electronic Systems, 53 (1), 385--404. Tan, P. S., Stiles, J. M., & Blunt, S. D. (2016). Optimizing sparse allocation for radar spectrum sharing. In Radar Conference (RadarConf), 2016 IEEE (pp. 16). Tan, P. S., Jakabosky, J., Stiles, J., & Blunt, S. (2015). On higher-order representations of Polyphase-Coded FM radar waveforms. In Proc. of the 2015 IEEE Radar Conference (RADARCON) (pp. pp. 467-472). ISBN: 978-1-4799-8231-8 Blunt, S. D., Jakabosky, J., Cook, M., Stiles, J. M., Seguin, S., & Mokole, E. (2014). Polyphase-coded FM (PCFM) radar waveforms, part II: optimization. Aerospace and Electronic Systems, IEEE Transactions on, 50 (3), 22302241. Smith-Martinez, B., Agah, A., & Stiles, J. M. (2013). A Genetic Algorithm for Generating Radar Transmit Codes to Minimize the Target Profile Estimation Error. Journal of Intelligent Systems, 22 (4), 503-525. Blunt, S. D., Jakabosky, J., Metcalf, J., Stiles, J., & Himed, B. (2013). Multi-waveform STAP. In Radar Conference (RADAR), 2013 IEEE (pp. 16). Jakabosky, J., Blunt, S. D., & Stiles, J. (2012). Transmitter-in-the-Loop Optimization of Physical Radar Emissions. In 2012 IEEE Radar Conference, pp. 874-879, Atlanta, GA, 23-27 May . Jakabosky, J., Anglin, P., Cook, M., Blunt, S. D., & Stiles, J. (2011). Non-Linear FM waveform design using Marginal Fishers Information with the CPM framework. In 2011 IEEE Radar Conference, pp. 513-518, Kansas City, MO, 23-27 May . Akers, G. A., & Stiles, J. M. (2010). Multilook SAR from measurements partitioned based on synthetic sensor parameters. In Radar Conference, 2010 IEEE, pp.1100-1105, May . Anglin, J. P., & Stiles, J. M. (2010). Radar transmit waveform design for lossy propagation channels. In Waveform Diversity and Design Conference (WDD), 2010 International, pp. 121-125, Aug . Blunt, S. D., Cook, M. R., & Stiles, J. (2010). Embedding information into radar emissions via waveform implementation. In Waveform Diversity and Design Conference (WDD), 2010 International, pp. 195-199, Aug . Blunt, S. D., Yatham, P., & Stiles, J. (2010). Intrapulse Radar-Embedded Communications. Aerospace and Electronic Systems, IEEE Transactions on, 46 (3), 1185-1200. Akers, G. A., & Stiles, J. M. (2009). An approach to ground moving target indication (GMTI) using multiple resolutions of the clutter covariance matrix. In Proc. of the IEEE Radar Conference, Pasadena, California, May 4-8 . Jenshak, J., & Stiles, J. M. (2009). Computation of QAM radar transmit signals with low autocorrelation side lobes. In Proc. of the IEEE Radar Conference, Pasadena, California, May 4-8 . Jenshak, J., & Stiles, J. M. (2009). Transmit coding with a range ambiguity. In Proc. of the Intl. Waveform Diversity and Design Conference, pp. 98-102, Kissimmee, Florida, Feb. 8-13 . Soto, F. P., Stiles, J. M., & Agah, A. (2009). Application of genetic algorithms to transmit code problem of synthetic aperture radar. Journal of Intelligent Systems, 18 (1-2), 102-122. Stiles, J. M., & Jenshak, J. (2009). Sparse Array Construction of using Marginal Fishers Information. In Proc. of the Intl. Waveform Diversity and Design Conference, pp. 202-207, Kissimmee, Florida, Feb. 8-13 . Jenshak, J., & Stiles, J. M. (2008). A fast method for designing optimal transmit codes for radar. In Proc. of the IEEE Radar Conference, Rome, Italy, May . Blunt, S. D., Stiles, J. M., Allen, C., Deavours, D., & Perrins, E. (2007). Diversity Aspects of Radar-Embedded Communications. In Proceedings of the IEEE International Conference on Electromagnetics in Advanced Applications, Turino, Italy, pp. 439-442, Sept. 17-21 . Goodman, N. A., & Stiles, J. M. (2007). On Clutter Rank Observed by Arbitrary Arrays. IEEE Transactions on Signal Processing, 55 (1), 178-186. Stiles, J. M., Sinha, V., & Deekonda, A. T. (2006). Optimal space-time transit signal for multi-mode radar. In Proceedings of the 2006 Waveform Diversity and Design Conference, Lihue, Hawaii, January . Stiles, J. M., Sinha, V., & Nanda, A. P. (2006). Space-time transmit signal construction for multi-mode radar. In Proceedings of the 2006 IEEE Radar Conference, April . Stiles, J., & Goodman, N. A. (2003). Wide area, fine resolution SAR from Multi-Aperture Radar Arrays. In Proc. of the 2003 Advanced SAR Workshop, Montreal, Canada, June . Guo, X., Price, K. P., & Stiles, J. M. (2003). Grasslands Discriminant Analysis Using Landsat TM Multitemporal Data. Photogrammetric Engineering & Remote Sensing, 69 (11), 1255-1262. Goodman, N., & Stiles, J. M. (2003). Resolution and Synthetic Aperture Characterization of Sparse Radar Arrays. IEEE Transactions on Aerospace and Electronics Systems, 39 (3), 921-935. Goodman, N. A., & Stiles, J. M. (2003). Radar satellite constellations: SAR characterization and analysis. In Proc. of the 2003 Advanced SAR Workshop, Montreal, Canada . (Invited) Price, K. P., Guo, X., & Stiles, J. M. (2002). Comparison of Landsat TM and ERS-2 SAR data for discriminating among grassland types in eastern Kansas. Computers and Electronics in Agriculture, 37 , 157-171. Price, K. P., Guo, X., & Stiles, J. M. (2002). Optimal Landsat TM band combinations and vegetation indices for discrimination of six grassland types in eastern Kansas. International Journal of Remote Sensing, 23 (23), 5031-5042. Goodman, N., & Stiles, J. M. (2002). Synthetic Aperture Characterization of Radar Satellite Constellations. In Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, vol. 1, pp. 665-667, June . Stiles, J. M., Apte, A., & Beh, B. (2002). A group theoretic analysis of symmetric target scattering with application to landmine detection. IEEE Transactions on Geoscience and Remote Sensing, 40 , 1802-1814. Goodman, N., Lin, S. C., Rajakrishna, D., & Stiles, J. M. (2002). Processing of multiple receiver, spaceborne arrays for wide-area SAR. IEEE Transactions on Geoscience and Remote Sensing, 40 , 841-852. Goodman, N., & Stiles, J. M. (2001). A general signal processing algorithm for MTI with multiple receive apertures. In Proceedings of the 2001 IEEE Radar Conference, pp. 315-320, May . Goodman, N., & Stiles, J. M. (2001). The information content of multiple receive aperture SAR systems. In Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, July . Stiles, J. M., & Beh, B. (2001). A group theoretic description of bistatic scattering from symmetric subsurface objects. In Proceedings of the SPIE Conference on Detection and Remediation of Mines and Minelike Targets, SPIE vol. 4394, pp.797-805, April . Stiles, J. M., & Goodman, N. (2001). Processing of multi-aperture SAR to produce fine-resolution images of arbitrarily large extent. In Proceedings of the 2001 IEEE Radar Conference, pp. 451-456, May . Stiles, J. M., Goodman, N., & Guruvayurappan. (2001). Minimum mean-squared error GPR processor for resolving shallow objects. In Proceedings of the SPIE Conference on Detection and Remediation of Mines and Minelike Targets, SPIE vol. 4394, pp. 461-469, April . Beh, B., Malik, T., Kreycik, J., & Stiles, J. M. (2000). Detection of symmetrical objects using the bistatic, multipolarimetric, reverse-time migration technique. In Proceedings of the SPIE Conference on Detection and Remediation of Mines and Minelike Targets, SPIE vol. 4038, pp. 1019-1027, April . Goodman, N., & Stiles, J. M. (2000). A MMSE filter for range sidelobe reduction. In Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, pp. 2365-2367, July . Guo, X., Price, K. P., & Stiles, J. M. (2000). Biophysical and spectral characteristics of cool and warm-season grasslands under three land management practices in eastern Kansas. Natural Resources Research, 9 (4), 321-331. Guo, X., Price, K. P., & Stiles, J. M. (2000). Modeling biophysical factors for grasslands in eastern Kansas using Landsat TM data. Transactions of the Kansas Academy of Science, 103 (3-4), 122-138. Guo, X., Price, K. P., & Stiles, J. M. (2000). Modeling biophysical factors for grasslands using Landsat TM data in eastern Kansas. In Proceedings of the Second International Conference on Geospatial Information in Agriculture and Forestry, Vol. 2, pp. 291-298, Jan . Guo, X., Price, K. P., & Stiles, J. M. (2000). Multitemporal spectral characteristics of three land management practices on cool and warm season grasslands in eastern Kansas. In American Society of Photogrammetric Engineering and Remote Sensing Convention (ASPRS), May . Price, K. P., Guo, X., & Stiles, J. M. (2000). Comparison of Landsat TM and ERS-2 SAR data for discriminating among six grassland types in eastern Kansas. In Proceedings of the Second International Conference on Geospatial Information in Agriculture and Forestry, vol. 1, pp. 265-272, Jan . Stiles, J. M., Goodman, N., & Lin, S. (2000). Performance and processing of SAR satellite clusters. In Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, pp. 883-885, July . Lohmeier, S. P., Stiles, J. M., Allen, C. T., Gogineni, P., & Moore, R. K. (2000). The Radar Systems and Remote Sensing Laboratory (RSL) at the University of Kansas. IEEE Geoscience and Remote Sensing Society Newsletter, (113), 11-16. Stiles, J. M., & Sarabandi, K. (2000). Electromagnetic scattering from grassland: Part 1, A fully phase coherent scattering model. IEEE Transactions on Geoscience and Remote Sensing, 38 , 339-348. Stiles, J. M., Sarabandi, K., & Ulaby, F. T. (2000). Electromagnetic scattering from grassland: Part 2, Measured and modeled results. IEEE Transactions on Geoscience and Remote Sensing, 38 , 349-356. Beh, B., Malik, T., & Stiles, J. M. (1999). Symmetric observation of a buried target using multipolarimetric reverse-time migration. In Proceedings of the SPIE Conference on Detection and Remediation of Mines and Minelike Targets, SPIE Vol. 3710, pp. 1118-1127, Orlando, FL, April . Goodman, N., Rajakrishna, D., & Stiles, J. M. (1999). Wide Swath, High Resolution SAR using Multiple Receive Apertures. In Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, pp. 1767-1769, June . Price, K. P., Guo, X., & Stiles, J. M. (1999). Discriminant analysis of Landsat TM multi-temporal data for six grassland management practices in eastern Kansas. In Proceedings of the American Society of Photogrammetric Engineering and Remote Sensing (ASPRS), pp. 498-508, May . Price, K. P., Guo, X., & Stiles, J. M. (1999). Optimal Landsat TM band combinations and vegetation indices for discrimination of six grassland types in eastern Kansas. In Pecora14/Land Satellite Information III, pp. 347-357, Dec . Stiles, J. M., Parra-Bocaranda, P., & Apte, A. (1999). Detection of object symmetry using bistatic and polarimetric GPR observations. In Proceedings of the SPIE Conference on Detection and Remediation of Mines and Minelike Targets, SPIE Vol. 3710, pp. 992-1002, Orlando, FL, April . Martinez, A., Beaty, D. S., Stiles, J. M., & Carr, T. R. (1998). Comparison of ground-penetrating radar reflectivity and rock properties in a sandstone-dominated incised valley-fill deposit. In Proceedings of the 7 th International Conference on Ground-Penetrating Radar, pp. 693-698, May . Stiles, J. M., & Sarabandi, K. (1998). Modeling microwave propagation in a grass vegetation layer. In Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, pp. 1571-1573, July . Stiles, J. M., & Sarabandi, K. (1996). Scattering from cultural grass canopies: A phase coherent model. In Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, pp. 720-722, May . Stiles, J. M., Sarabandi, K., & Ulaby, F. T. (1996). Scattering from cultural grass canopies: Measured and modeled data. In Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, pp. 723-725, May . Stiles, J. M., & Sarabandi, K. (1996). A scattering model for thin dielectric cylinders of arbitrary cross-section and electrical length. IEEE Transactions on Antennas and Propagation, 4 , 260-266. Stiles, J. M., & Sarabandi, K. (1995). A rigorous analysis of the generalized Rayleigh-Gans approximation. In Proceedings of the IEEE Antenna and Propagation Society International Symposium, pp. 802-805, June . Sarabandi, K., Pierce, L. E., Dobson, M. C., Ulaby, F. T., Stiles, J. M., Chiu, T. C., DeRoo, R., Hartika, R., Zambetti, A., & Freeman, A. (1995). Polarimetric calibration of SIR-C using point and distributed targets. IEEE Transactions on Geoscience and Remote Sensing, 33 , 858-866. Stiles, J. M., & Sarabandi, K. (1994). Microwave scattering model for grassland and short vegetation canopies. In Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, pp. 1841-1843, Aug . Stiles, J. M., Sarabandi, K., & Ulaby, F. T. (1993). Microwave scattering model for grass blade structures. IEEE Transactions on Geoscience and Remote Sensing, 31 , 1051-1059. Other Publications Dobson, M. C., Pierce, L., Oh, Y., Stiles, J., & Ulaby, F. (1993). Retrieval of soil moisture and roughness from quad-polarized airborne SAR. In Geoscience and Remote Sensing Symposium, 1993. IGARSS93. Better Understanding of Earth Environment., International (pp. 341vol). Stiles, J., Sarabandi, K., & Ulaby, F. (1992). Polarimetric scattering model for grassy terrain. In Antennas and Propagation Society International Symposium, 1992. AP-S. 1992 Digest. Held in Conjuction with: URSI Radio Science Meeting and Nuclear EMP Meeting., IEEE (pp. 820vol). Ulaby, F., Stiles, J., Sarabandi, K., & Oh, Y. (1991). Model and measurements of the phase statistics of the scattering matrix of distributed surfaces. In Geoscience and Remote Sensing Symposium, 1991. IGARSS91. Remote Sensing: Global Monitoring for Earth Management., International (Vol. 2, pp. 401401). Show Selected Publications 2 Selected Grants Stiles, J. (Principal), Blunt, S. (Co-Investigator), "Adaptive Sequential Radar Detection using Marginal Fisher's Information," Sponsor: Matrix Research Inc. Flow through sponsor: US Air Force Research Laboratory, $233,388 (August 23, 2018 - December 31, 2019). Stiles, J. (Principal), Blunt, S. (Co-Investigator), "Processing of Optimally-Constructed, Non-Contiguous Radar Transmission Spectra," Sponsor: Wright State University. Flow through sponsor: National Science Foundation, $53,316 (August 15, 2018 - September 14, 2019). Stiles, J. (Co-Investigator), Blunt, S. (Principal), Leuschen, C. (Co-Investigator), Allen, C. (Co-Investigator), "Advanced Radar Waveforms for Navy Platforms," Office of Naval Research, $1,409,312, Submitted October 2014 (July 2015 - June 2018). Allen, C. (Principal), Blunt, S. (Co-Principal), Stiles, J. (Co-Principal), "2-18 GHz Broadband Receiver," Honeywell and US Dept of Energy, $89,996, Submitted April 8, 2016 (June 6, 2016 - August 26, 2016). Stiles, J. (Co-Investigator), Blunt, S. (Principal), "Waveform-Diverse Emissions and Receive Processing for Proactive Sensing Protection," Air Force Research Lab; subcontract through Booz, Allen, Hamilton, $475,000 (July 2011 - March 2015). Stiles, J. M. (Principal), "Optimal Space-Time Waveform Design," AFRL (through SAIC), $300,000 (September 2003 - September 2006). Stiles, J. M. (Principal), "Multi-Dimensional Signal Processing Algorithms for Sparse-Radar Arrays," AFOSR, $388,000 (March 1999 - March 2002). Stiles, J. M. (Principal), "Ultra-Wideband Ground Penetrating Radar Systems and Their Application to Land Mine Detection," Army Research Office (through University of Missouri-Rolla), $500,000 (January 1997 - November 2001). Stiles, J. M. (Co-Investigator), "Ground-Penetrating Radar: A Tool for the Next Generation of Outcrop Studies," NSF, $32,020 (December 1999 - December 2000). Stiles, J. M. (Co-Investigator), "A Swept Stepped-FM Vehicular Mounted Ground Penetrating Radar for Anti-Tank Mine Detection," US Army Communications and Electronics Command, $253,000 (September 1997 - January 1999). Stiles, J. M. (Principal), "Moving Target Indication Using Sparse-Aperture, Multi-Channel SAR," AFRL (through Research and Development Laboratories), $30,813 (June 1998 - December 1998). Stiles, J. M. (Principal), "Wide Swath, High, Resolution, Low Ambiguity SAR Using Digital Beamforming Arrays," Air Force Office of Scientific Research (through Phillips Laboratory), $25,000 (January 1997 - January 1998). Stiles, J. M. (Principal), "Monopulse and Super-Resolution Array Processing for Arbitrary Polarization States," Texas Instruments, $17,675 (August 1996 - August 1997). Selected Awards & Honors EECS Excellence in Undergraduate Teaching Professorship, Department of Electrical Engineering and Computer Science. (November 2018 - November 2021) Harry Talley Excellence in Teaching Award, KU EECS department (2014) W.T. Kemper Fellowship for Teaching Excellence, Univ. of Kansas (2007) Excellence in Teaching Award, KU Center for Teaching Excellence (2004) Harry Talley Excellence in Teaching Award, KU EECS department (2004) John E. Sharp and Winifred E. Sharp Teaching Professorship, Univ. of Kansas School of Engr (2004) Interactive Session Prize Paper Award, IEEE Geoscience and Remote Sensing Society (2002) Miller Professional Development Award for Distinguished Research, Univ. of Kansas School of Engineering (2001) Excellence in Teaching Award, KU Center for Teaching Excellence (2000) Harry Talley Excellence in Teaching Award, KU EECS department (2000) EECS Application Login EECS Gradplanner Login EECS Shop Department Events Please update your browser to view the iframe content. Your browser must support JavaScript to view this content. Please enable JavaScript in your browser settings then try again. KU Today Students to present at Kansas Undergraduate Research Day at the Capitol All KU News Give to KU Why KU Apply High school seniors can apply to the SELF Program, a four-year enrichment and leadership experience Engineering students build concrete canoes, Formula race cars, unmanned planes, and rockets for competitions nationwide More first and second place awards in student AIAA aircraft design contests than any other school in the world One of 34 U.S. public institutions in the prestigious Association of American Universities 44 nationally ranked graduate programs. U.S. News & World Report Top 50 nationwide for size of library collection. 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Giving Tech Help Menu Home About Chair's Message Vision & Mission Academic Experience Prospective Students Overview Disciplines Undergraduate Programs Academic Experience Degree Requirements Scholarship & Tuition Admissions Degree Accreditation Graduate Programs Master's Program Ph.D. Programs Research Clusters Applied Electromagnetics Communications Systems Computational Science and Engineering Computer Systems Design Computing in the Biosciences Data Science and Engineering IT Project Management Languages and Semantics Network Engineering Network Systems Radar Systems and Remote Sensing RF Systems Engineering Cyber Security Signal Processing Software Engineering Theory of Computing Graduate Funding Cybersecurity Graduate Certificate Data Science and Engineering Software Engineering and Management Certificate RF Systems Engineering Graduate Certificate Facilities Current Students Overview New Students Undergraduate Graduate Undergraduate Students Graduate Students Master's Programs Ph.D. Programs Research Clusters Defense Notices Cybersecurity Graduate Certificate Data Science Graduate Certificate Software Engineering and Management Certificate RF Systems Engineering Graduate Certificate EECS Courses Facilities Research Facilities Facilities Location EECS Workstation Software Eaton Hall Map EECS Shop Faculty & Staff Faculty Chairpersons Administrative Staff Technical Staff Research Overview Research Clusters Applied Electromagnetics Communications Systems Computer Systems Design Computing in the Biosciences Intelligent Informatics Languages and Semantics Network Engineering Network Systems Radar Systems and Remote Sensing RF Systems Engineering Cyber Security Signal Processing Software Engineering Theory of Computing Defense Notices Research Facilities Alumni & Friends Advisory Board Welcome Alumni! Giving Tech Help Search Search form Search Home Stanislav Svojanovsky STANISLAV SVOJANOVSKY Stanislav Svojanovsky Adjunct Associate Professor ssvojano@jccc.edu 1 Primary office : 913-469-8500 x5919 Summary 2 Bio 3 Primary Research Interests Development of analytical assays to determine the concentration of anticancer drugs in physiological fluids Applying neural network models for analogue development of antitumor drugs and microarray data analysis EECS Application Login EECS Gradplanner Login EECS Shop Department Events Please update your browser to view the iframe content. Your browser must support JavaScript to view this content. Please enable JavaScript in your browser settings then try again. KU Today Students to present at Kansas Undergraduate Research Day at the Capitol All KU News Give to KU Why KU Apply High school seniors can apply to the SELF Program, a four-year enrichment and leadership experience Engineering students build concrete canoes, Formula race cars, unmanned planes, and rockets for competitions nationwide More first and second place awards in student AIAA aircraft design contests than any other school in the world One of 34 U.S. public institutions in the prestigious Association of American Universities 44 nationally ranked graduate programs. U.S. News & World Report Top 50 nationwide for size of library collection. ALA 5th nationwide for service to veterans "Best for Vets: Colleges," Military Times Links on this page: ssvojano@jccc.edu http://eecs.ku.edu/stanislav-svojanovsky#tabSummary http://eecs.ku.edu/stanislav-svojanovsky#link1 Contact Electrical Engineering and Computer Science eecs-info@ku.edu 785-864-4620 2001 Eaton Hall 1520 West 15th Street University of Kansas Lawrence, KS 66045-7608 Degree Accreditation Information Enrollment & Graduation Data EECS Resources News Publications Facilities Webmail Alumni Cadence Undergraduate Graduation Planner Prospective Students Disciplines Undergraduate Programs Graduate Programs Facilities Degree Accreditation Enrollment & Graduation Data Current Students New Students Undergraduate Students Graduate Students EECS Courses Facilities Faculty Documents & Forms EECS Courses Facilities Faculty & Staff Faculty Chairpersons Administrative Staff Technical Staff Research Focus Areas Reseach Centers Defense Notices Academics Accessible KU Admissions Alumni Athletics Campuses Giving Jobs Safety Contact KU Lawrence, KS | Maps The University of Kansas prohibits discrimination on the basis of race, color, ethnicity, religion, sex, national origin, age, ancestry, disability, status as a veteran, sexual orientation, marital status, parental status, gender identity, gender expression, and genetic information in the university's programs and activities. Retaliation is also prohibited by university policy. The following persons have been designated to handle inquiries regarding the nondiscrimination policies and are the Title IX coordinators for their respective campuses: Director of the Office of Institutional Opportunity & Access, IOA@ku.edu , Room 1082, Dole Human Development Center, 1000 Sunnyside Avenue, Lawrence, KS 66045, 785-864-6414, 711 TTY (for the Lawrence, Edwards, Parsons, Yoder, and Topeka campuses); Director, Equal Opportunity Office, Mail Stop 7004, 4330 Shawnee Mission Parkway, Fairway, KS 66205, 913-588-8011, 711 TTY (for the Wichita, Salina, and Kansas City, Kansas medical center campuses). diff --git a/src/data/compiled_bios/4255.txt b/src/data/compiled_bios/4255.txt new file mode 100644 index 0000000000..d3126ec1e7 --- /dev/null +++ b/src/data/compiled_bios/4255.txt @@ -0,0 +1 @@ + Search Type Search this site Search KU Web Search KU People Search KU Events Search KU Info Search Text KU Home Kyou Email Blackboard A-Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z BSIT Program EECS Department Home Professional Profile Teaching Annette Tetmeyer EECS Associate Professor of Practice tetmeyer@ku.edu 250D Best Building, Edwards Campus Electrical Engineering & Computer Science The University of Kansas Edwards Campus 12600 Quivira Rd. Overland Park, KS 66213 (913) 897-8662 Education Candidate for Ph.D., Computer Science, University of Kansas Master of Science, Computer Science, University of Kansas, 2013 Master of Science, Engineering Management, University of Kansas, 1998 Bachelor of Science, Mechanical Engineering, Iowa State University, 1993 Bachelor of Science, Production Management, Iowa State University, 1993 Teaching Software Engineering and Management System Integration and Architecture Human-Computer Interaction Operating Systems IT Capstone I and II VBA for Engineers Research Security Requirements Engineering Memberships Upsilon Pi Epsilon, National Computer Science Honor Society Association for Computing Machinery (ACM) ACM Special Interest Group for Information Technology Education (SIGITE) ACMs Women in Computing (ACM-W) IEEE IEEE Education Society IEEE Women in Engineering Honors Paul F. Huebner Memorial Award for Excellence in Teaching, University of Kansas, School of Engineering, 2013 Publications A. Tetmeyer, H. Saiedian, and D. Hein. A tagging approach to extract security requirements in non-traditional software development processes. International Journal of Secure Software Engineering , 5(4):31-47, December 2014. A. Tetmeyer and H. Saiedian. A software requirement tool for capturing implied security requirements. The Journal of Defense Software Engineering , 27(6):33-37, November/December 2014. S. Wedman, A. Tetmeyer, and H. Saiedian. An analytical study of web application session management mechanisms and http session hijacking attacks. Information Security Journal , 22(2):55-67, 2013. A. Tetmeyer and H. Saiedian. Security threats and risk mitigation challenges of USB devices. IEEE Technology & Society , 29(4):44-49, 2010. Contact Us Electrical Engineering & Computer Science The University of Kansas Edwards Campus 12600 Quivira Rd. Overland Park, KS 66213 (913) 897-8400 top School of Engineering EECS Home KU Home About KU Admissions Administration Academics Research Technology Libraries Museum & Arts News Calendar Athletics Give to KU Alumni Students Parents Faculty & Staff Jobs Enroll & Pay Media Maps Contact KU The University of Kansas prohibits discrimination on the basis of race, color, ethnicity, religion, sex, national origin, age, ancestry, disability, status as a veteran, sexual orientation, marital status, parental status, gender identity, gender expression and genetic information in the Universitys programs and activities. The following person has been designated to handle inquiries regarding the non-discrimination policies: Director of the Office of Institutional Opportunity and Access, IOA@ku.edu , 1246 W. Campus Road, Room 153A, Lawrence, KS, 66045, (785)864-6414, 711 TTY. diff --git a/src/data/compiled_bios/4256.txt b/src/data/compiled_bios/4256.txt new file mode 100644 index 0000000000..a533fdb471 --- /dev/null +++ b/src/data/compiled_bios/4256.txt @@ -0,0 +1 @@ + Search Type Search KU People Search KU Web Search KU Engr Search KU Events Search KU Info Search Text KU Home myKU Email Blackboard A-Z A B C D E F G H I J K L M N O P Q R S T U V W X Y Z Home People Research Publications Courses Download Seminars Openings Guanghui (Richard) Wang Assistant Professor Electrical Engineering & Computer Science (EECS ) Office: 3012 Eaton Hall Tel: (785)864-8800 Information and Telecommunication Technology Center (ITTC) Office: 204 Nichols Hall Tel: (785)864-8800 Email: ghwang AT ku DOT edu Books Wang, G. & Wu, J. Guide to Three Dimensional Structure and Motion Factorization , Springer-Verlag , ISBN: 978-0-85729-045-8, 2011. Buy this book from Springer and Amazon . Wang, G. (ed.). (2016). Recent Advances in Robotic Systems . InTech. ISBN: 978-953-51-2570-9, 2016. Buy this book from Amazon . Reseach position s We are looking for highly motivated students. . Research Interests Computational Vision: structure from motion, stereo vision, visual measurement Image Analysis : geometrical modeling, structured light, image matching, visual attention Autonomous Robot: robot navigation, multisensor data fusion, simultaneous localization & mapping Artificial Intelligence : deep learning, machine learning, visual surveillance, scene classification, object tracking Courses EECS 740 Digital Image Processing (Fall 2015, Spring 2017, Spring 2018) EECS 444 Control Systems Engineering (Spring 2015, Spring 2016, Spring 2017, Spring 2018) EECS 741 Computer Vision (Fall 2014, Fall 2016, Fall 2017, Fall 2018) Selected Publications Sui, Y., Tang, Y., Zhang, L.,Wang, G., (2018). Visual tracking via subspace learning: A discriminative approach . International Journal of Computer Vision , vol. 126 (5), pp.515-536, 2018. (impact factor: 11.541) Huo, J., Wu, J., Cao, J., & Wang, G. (2018). Supervoxel based method for multi-atlas segmentation of brain MR images . NeuroImage , vol.175, pp.201-214 2018. (impact factor: 5.835) He, L., Wang, G., & Hu, Z. (2018). Learning depth from single images with deep neural network embedding focal length ,. IEEE Transactions on Image Processing , vol.27(9), pp. 4676 - 4689, 2018 (impact factor: 5.071) Sui, Y., Wang, G., Zhang, L.M.X. Yang (2018). Exploiting spatial-temporal locality of tracking via structured dictionary learning . IEEE Transactions on Image Processing , vol.27(3), pp.1282-1296, 2018. (impact factor: 5.071) Bharati, S., Wu, Y., Sui, Y., Padgett, C., & Wang, G. (2018). Real-time obstacle detection and tracking for sense-and-avoid mechanism in UAVs . IEEE Transactions on Intelligent Vehicles, DOI: 10.1109/TIV.2018.2804166 , 2018. Zhang,, Z., Wu, Y., & Wang, G. (2018). BPGrad: Towards global optimality in deep learning via branch and pruning . IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018. Sui, Y., Wang, G., Zhang, L.(2017). Correlation filter learning toward peak strength for visual tracking . IEEE Transactions on Cybernetics , vol. 48 (4) pp.1290-1303. 2018. (impact factor: 8.803) Wu, Y., Sui, Y., & Wang, G. (2017). Vision-based real-time aerial object localization and tracking for UAV sensing system . IEEE Access, vol.5, pp.23969-23978, 2017. (impact factor: 3.557) [ project page with dataset and source code ] Wang, G. (2017). Robust structure and motion recovery based on augmented factorization . IEEE Access, vol.5(1): pp.1899919011, 2017. (impact factor: 3.557) Wu, F., Zhang, M., Wang, G., & Hu, Z. (2016). Triangulation and metric of lines based on geometric error . Computer Vision and Image Understanding , vol.145, pp.111-127, 2016. (impact factor: 2.498) Gao, J., Yang, J., Wang, G., & Li, M. (2016) . A novel feature extraction method for scene recognition based on centered convolutional restricted Boltzmann machines . Neurocomputing, vol. 214: 708-717, 2016. (impact factor: 3.317) Sui, Y., Wang, G., Tang, Y., Zhang, L. (2016). Tracking completion , European Conference on Computer Vision (ECCV), 2016. [ poster ] Sui, Y., Zhang, Z., Wang, G., Tang, Y., Zhang, L. (2016). Real-time visual tracking: promoting the robustness of correlation filter learning , European Conference on Computer Vision (ECCV), 2016. [ poster ] Yang, J., Zhang, S., Wang, G., & Li, M. (2015). Scene and place recognition using a hierarchical latent topic model . Neurocomputing .148: 578-586, 2015 (impact factor: 3.317) Wang, G., Zelek, J., & Wu, J. (2012). Structure and motion recovery based on spatial-and-temporal-weighted factorization . IEEE Trans. on Circuits and Systems for Video Technology (T-CSVT), 22 (11), 1590-1603. (impact factor: 3.599) Zhang, W., Wu, J., & Wang, G. (2012). Tracking and pairing vehicle headlight in night scenes . IEEE Trans. on Intelligent Transportation Systems (T-ITS), 13 (1), 140-153. (impact factor: 3.724) Wang, G., & Wu, J. (2011). Guide to Three-Dimensional Structure and Motion Factorization . Springer-Verlag. ISBN: 978-0-85729-045-8 Wang, G., & Wu, J. (2010). Quasi-perspective projection model: Theory and application to structure and motion factorization from uncalibrated image sequences . International Journal of Computer Vision (IJCV), 87 (3), 213-234. (impact factor: 8.222) Wang, G., & Wu, J. (2010). The quasi-perspective model: Geometric properties and 3D reconstruction . Pattern Recognition, 43 (5), 1932-1942. (impact factor: 4.582) Zhang, W., Wu, J., & Wang, G. (2010). An adaptive computational model for salient object detection . IEEE Trans. on Multimedia (T-MM), 12 (4), 300-316. (impact factor: 3.509) Wang, G., & Wu, J. (2009). Perspective 3D Euclidean reconstruction with varying camera parameters . IEEE Trans. on Circuits and Systems for Video Technology (T-CSVT), 19 (12), 1793-1803. (impact factor: 3.599) Wang, G., & Wu, J. (2008). Stratification approach for 3D Euclidean reconstruction of nonrigid objects from uncalibrated image sequences . IEEE Trans. on Systems, Man, and Cybernetics: Part B (T-SMCB), 38 (1), 90-101. (impact factor: 6.220) Wang, G., & Wu, J. (2008). Quasi-perspective projection with applications to 3D factorization from uncalibrated image sequences . In IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008) . A full list of publications can be found at the Publication page. Awards and Honors NSERC Postdoctoral Fellowship NSERC-Alexander Graham Bell CGS Scholarship NSERC CGS-MSFSS Michael Smith Foreign Study Supplements President's Graduate Scholarship of University of Waterloo Ontario Graduate Scholarship in Science and Technology Ontario Graduate Scholarship Visiting support from the Chinese University of Hong Kong Top Graduate Student Scholarship of Jilin University Teaching Excellence Awards Research Excellence Awards Best Reviewer Award of ICME 2014 Best Paper Award at CRV11 Contact Us Computer Vision Laboratory Information and Telecommunication Technology Center (ITTC) The University of Kansas 2335 Irving Hill Road Lawrence, KS 66045 2015, All Rights Reserved. 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Giving Tech Help Menu Home About Chair's Message Vision & Mission Academic Experience Prospective Students Overview Disciplines Undergraduate Programs Academic Experience Degree Requirements Scholarship & Tuition Admissions Degree Accreditation Graduate Programs Master's Program Ph.D. Programs Research Clusters Applied Electromagnetics Communications Systems Computational Science and Engineering Computer Systems Design Computing in the Biosciences Data Science and Engineering IT Project Management Languages and Semantics Network Engineering Network Systems Radar Systems and Remote Sensing RF Systems Engineering Cyber Security Signal Processing Software Engineering Theory of Computing Graduate Funding Cybersecurity Graduate Certificate Data Science and Engineering Software Engineering and Management Certificate RF Systems Engineering Graduate Certificate Facilities Current Students Overview New Students Undergraduate Graduate Undergraduate Students Graduate Students Master's Programs Ph.D. Programs Research Clusters Defense Notices Cybersecurity Graduate Certificate Data Science Graduate Certificate Software Engineering and Management Certificate RF Systems Engineering Graduate Certificate EECS Courses Facilities Research Facilities Facilities Location EECS Workstation Software Eaton Hall Map EECS Shop Faculty & Staff Faculty Chairpersons Administrative Staff Technical Staff Research Overview Research Clusters Applied Electromagnetics Communications Systems Computer Systems Design Computing in the Biosciences Intelligent Informatics Languages and Semantics Network Engineering Network Systems Radar Systems and Remote Sensing RF Systems Engineering Cyber Security Signal Processing Software Engineering Theory of Computing Defense Notices Research Facilities Alumni & Friends Advisory Board Welcome Alumni! Giving Tech Help Search Search form Search Home Andrew Williams ANDREW WILLIAMS Andrew Williams Charles E. and Mary Jane Spahr Professor andrew.williams@ku.edu 1 Primary office : Summary 2 Bio 3 Primary Research Interests Humanoid Robotics Human-Robot Interaction Artificial Intelligence Engineering Education and Ethics Cybersecurity EECS Application Login EECS Gradplanner Login EECS Shop Department Events Please update your browser to view the iframe content. Your browser must support JavaScript to view this content. Please enable JavaScript in your browser settings then try again. KU Today 'For the People' exhibition to open in the Haricombe Gallery Feb. 19 All KU News Give to KU Why KU Apply High school seniors can apply to the SELF Program, a four-year enrichment and leadership experience Engineering students build concrete canoes, Formula race cars, unmanned planes, and rockets for competitions nationwide More first and second place awards in student AIAA aircraft design contests than any other school in the world One of 34 U.S. public institutions in the prestigious Association of American Universities 44 nationally ranked graduate programs. U.S. News & World Report Top 50 nationwide for size of library collection. ALA 5th nationwide for service to veterans "Best for Vets: Colleges," Military Times Links on this page: andrew.williams@ku.edu http://eecs.ku.edu/andrew-williams#tabSummary http://eecs.ku.edu/andrew-williams#link1 Contact Electrical Engineering and Computer Science eecs-info@ku.edu 785-864-4620 2001 Eaton Hall 1520 West 15th Street University of Kansas Lawrence, KS 66045-7608 Degree Accreditation Information Enrollment & Graduation Data EECS Resources News Publications Facilities Webmail Alumni Cadence Undergraduate Graduation Planner Prospective Students Disciplines Undergraduate Programs Graduate Programs Facilities Degree Accreditation Enrollment & Graduation Data Current Students New Students Undergraduate Students Graduate Students EECS Courses Facilities Faculty Documents & Forms EECS Courses Facilities Faculty & Staff Faculty Chairpersons Administrative Staff Technical Staff Research Focus Areas Reseach Centers Defense Notices Academics Accessible KU Admissions Alumni Athletics Campuses Giving Jobs Safety Contact KU Lawrence, KS | Maps The University of Kansas prohibits discrimination on the basis of race, color, ethnicity, religion, sex, national origin, age, ancestry, disability, status as a veteran, sexual orientation, marital status, parental status, gender identity, gender expression, and genetic information in the university's programs and activities. Retaliation is also prohibited by university policy. The following persons have been designated to handle inquiries regarding the nondiscrimination policies and are the Title IX coordinators for their respective campuses: Director of the Office of Institutional Opportunity & Access, IOA@ku.edu , Room 1082, Dole Human Development Center, 1000 Sunnyside Avenue, Lawrence, KS 66045, 785-864-6414, 711 TTY (for the Lawrence, Edwards, Parsons, Yoder, and Topeka campuses); Director, Equal Opportunity Office, Mail Stop 7004, 4330 Shawnee Mission Parkway, Fairway, KS 66205, 913-588-8011, 711 TTY (for the Wichita, Salina, and Kansas City, Kansas medical center campuses). diff --git a/src/data/compiled_bios/4258.txt b/src/data/compiled_bios/4258.txt new file mode 100644 index 0000000000..7843bb972f --- /dev/null +++ b/src/data/compiled_bios/4258.txt @@ -0,0 +1 @@ + Heechul Yun () office: 236 Nichols Hall, 2335 Irving hill Rd, Lawrence, KS, 66045 e-mail: heechul.yun (at) ku.edu tel: 785-864-7735 Home | Publications | Courses | Projects | People | Software About I am an Assistant Professor in the department of Electrical Engineering and Computer Science at the University of Kansas . I earned my Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign in 2013. Previously, I worked at Samsung Electronics as a senior system software engineer. I enjoy reading and running . [ CV ] Research My research goal is to build predictable, robust, and high performance computing infrastructure (OS, architecture, and middleware) for embedded real-time systems. My research interests include: Embedded multicore, GPU, heterogenous systems resource management Reliability and security of cyber-physical systems Please check out Projects for more details of my current/past research projects. I am looking for motivated PhD students who are interested in systems research. Experiences and interests in FPGA, heterogeneous architecture, Linux kernel, security, and intelligent robots (e.g., self-driving cars, UAVs) are valued. Please contact me if you are interested and have solid background on modern computer architecture and OS. [ Google Scholar ] [ DBLP ] [ GitHub ] News Jan. 2019. I am invited to serve on the program committee of OSPERT'19. Jul. 2018. I am invited to serve as PC track chair (Track 3: Hardware Architectures and Analysis Tools) of IEEE RTAS'19 . Jul. 2018. Our project Real-Time Computing Infrastructure for Integrated CPU-GPU SoC Platforms is awarded funding from the National Science Foundation (NSF) . Thanks for the support! Jun. 2018. Our paper, "DeepPicar: A Low-cost Deep Neural Network-based Autonomous Car" is accepted to appear at IEEE RTCSA'18 Apr. 2018. Our project "Micro-Architectural Side-Channel Attack Resistant OS and Architecture" is awarded funding from the National Security Agency (NSA) as part of the KU Security of Science Lablet . Thanks for the support! Mar. 2018. Two papers are accepted to appear at ECRTS'18 . Deterministic Memory Abstraction and Supporting Multicore System Architecture Protecting Real-Time GPU Kernels on Integrated CPU-GPU SoC Platforms Feb. 2018. NVIDIA donated a Titan Xp GPU and a Jetson TX2 to us. Thanks for the support! Jan. 2018. I am invited to serve on the program committee of Euromicro Conference on Digital System Design (DSD) Aug. 2017. I am invited to serve on the program committee of IEEE RTAS'18 . Jul. 2017. Our project The Deterministic Memory Approach for Predictable and High-Performance Cyber Physical Systems is awarded funding from the National Science Foundation (NSF) . Thanks for the support! Apr. 2017. Prathap won Richard K. & Wilma S. Moore Thesis Award at KU for his master thesis. Congratulation! Mar. 2017. I am invited to serve on the program committee of IEEE RTSS'17 Jan. 2017. I am invited to serve on the program committee of IEEE RTCSA'17. Dec. 2016. I am invited to serve on the program committee of ACM/IEEE EMSOFT'17 Dec. 2016. Our paper "BWLOCK: A Dynamic Memory Access Control Framework for Soft Real-Time Applications on Multicore Platform," is accepted for publication at the journal of IEEE Transactions on Computers . Nov. 2016. Our paper "Memory Bandwidth Management for Efficient Performance Isolation in Multi-Core Platforms," is selected as "Editor's pick of the year 2016" of the IEEE Transactions on Computers. Aug. 2016. Our paper, "A Simplex Architecture for Intelligent and Safe Unmanned Aerial Vehicles," is Nominated for Best Student Paper at IEEE RTCSA'16 Aug. 2016. I am invited to serve on the program committee of IEEE RTAS'17 . Jun. 2016. I gave a web seminar for Embedded Computing Community of Practice at Lockheed Martin, a corporation-wide virtual group of software engineers, on our recent multicore research. May 2016. Our paper, "A Simplex Architecture for Intelligent and Safe Unmanned Aerial Vehicles," is accepted for publication at IEEE RTCSA'16 Apr. 2016. Our paper, "Taming Non-blocking Caches to Improve Isolation in Multicore Real-Time Systems," won the Best Paper Award of IEEE RTAS'16 at CPSWeek . RTAS is a premiere conference in the field of real-time embedded systems. Feb. 2016. I am organizing RTSS@work session at RTSS'16. Jan. 2016, Our paper "Memory Bandwidth Management for Efficient Performance Isolation in Multi-Core Platforms," is selected as the Feature Article of the Month of February 2016 issue of IEEE Transactions on Computers. [video] Jan. 2016. Intel donated two E5-2658 v3 Xeon processors to us. Thank you very much! Dec. 2015. Our paper "Taming Non-blocking Caches to Improve Isolation in Multicore Real-Time Systems" is accepted for publication at IEEE RTAS'16. Also, the paper has been selected as a Outstanding Paper . Oct. 2015. Xilinx donated a Zynq platform to us. Thank you very much! Sep. 2015. I am invited to serve on the program committee of IEEE RTCSA'16. Apr. 2015. I help organize TCRTS Workshop on Certifiable Multicore Avionics Systems (CMAS) (part of CPSWeek 2015 ) in Seattle, USA, on April 13. Mar. 2015. Our paper "Parallelism-Aware Memory Interference Delay Analysis for COTS Multicore Systems" is accepted for publication at ECRTS'15 . Mar. 2015. Our paper "Memory Bandwidth Management for Efficient Performance Isolation in Multi-core Platforms" is accepted for publication at the journal of IEEE Transactions on Computers . Mar. 2015. I am invited to serve on the program committees of IEEE RTSS'15 and IEEE RTCSA'15 . Jan. 2015. I am invited to serve on the program committee of OSPERT'15 . Dec. 2014. Our paper "Schedulability Analysis for Memory Bandwidth Regulated Multicore Real-Time Systems" is accepted for publication at the journal of IEEE Transactions on Computers . Dec. 2014. Our poster "Memory Bandwidth Management Framework for Soft Real-Time Applications on Heterogeneous Multicore based Embedded Systems" is accepted for presentation at GTC 2015. Sep. 2014. Our paper "Performance Isolation for Real-Time Applications on Multicore Platforms using PALLOC and MemGurad" has been accepted for publication at RTLWS 2014. Aug. 2014. I am invited to serve on the program committee of IEEE RTAS'15 . Jun. 2014. I am invited to give a talk at Electronics and Telecommunications Research Institute in Korea on the topic of "Memory-Aware Power/Energy Management." May 2014. Our proposal for NVIDIA Tegra K1 CUDA Vision Challenge is selected (equipment support). Dec. 2013. Our paper "PALLOC: DRAM Bank-Aware Memory Allocator for Performance Isolation on Multicore Platforms" is accepted for publication at IEEE RTAS 2014 Oct. 2013. I am invited to serve on the program committee of ACM LCTES'14 . diff --git a/src/data/compiled_bios/4259.txt b/src/data/compiled_bios/4259.txt new file mode 100644 index 0000000000..7978d50470 --- /dev/null +++ b/src/data/compiled_bios/4259.txt @@ -0,0 +1 @@ + Computational Biology and Bioinformatics ZhongLab@KU Welcome Research People Publications Software Teaching Updates (2016/05/18) We are looking for motivated students to join our lab! If you are interested in computational biology and bioinformatics, and have either solid understanding of algorithm/data structure/mathematics, sophisticated programming skill, or keen sense of biology, please drop me a note! WELCOME Welcome to the Zhong lab from the Department of Electrical Engineering and Computer Science, the University of Kansas . We strive to develop accurate and efficient computational methods to tackle biological challenges. We also collaborate with experimental biologists to understand the fundamantals of life. In particular, our research includes the following topics: Non-coding RNA structure and function Next-generation sequencing technology de novo sequence assembly Cancer genomics Metagenomics Epigenetics Medical genetics Evolution and phylogeny If you have any questions or suggestions, please contact: Cuncong Zhong Department of EECS University of Kansas Lawrence, KS 66045 Email: cczhong at ku.edu diff --git a/src/data/compiled_bios/426.txt b/src/data/compiled_bios/426.txt new file mode 100644 index 0000000000..a0abf5bbc5 --- /dev/null +++ b/src/data/compiled_bios/426.txt @@ -0,0 +1 @@ +Top Research Talks Teaching Contact Anwitaman Datta I am an associate professor in the School of Computer Science and Engineering at NTU Singapore. I currently teach (parts of) an undergraduate course on Cryptography & Network Security, and one on Security Management, along with parts of a graduate level course on Distributed Systems. Research My research interests span the topics of large-scale resilient distributed systems, information security and applications of data analytics. Some of my distinctive and pioneering research contributions, which have preceded and influenced new lines of research in respective research communities include: (i) decentralized online social networks for privacy and censorship resistance, (ii) novel erasure codes tailor made for distributed storage systems --- self-repairing (locally repairable) erasure codes, erasure codes with elastic redundancy, and codes exploiting cross-version sparsity to efficiently store multiple versions of data, and (iii) the application of machine learning and stereotyping to computational trust. I have also contributed to well established research topics, spanning security and privacy, distributed data stores, collaborative systems, social network analysis and decision support applications. Most of my publications are listed at: DBLP | Google Scholar . Currently I work on the following topics: Coding for storage The aim of this line of work is to build reliable distributed data storage systems based on novel erasure codes - exploring both new erasure coding techniques as well as suitable storage systems designs. Security & Privacy The aim of this line of work is to facilitate hosted data services supporting collaborative applications, while achieving various desired security and privacy objectives. Social media analysis The aim of this line of work is to mine social networks/media in order to derive actionable intelligence for decision support. Selected talks A selection of my (mostly, somewhat non-technical, industry oriented) talks: Cybersecurity: Post Breach Bitcoin Forensics On Ransomware, Cyber-armies and Malicious AI Teaching Advanced Topics in Distributed Systems In this graduate level course (co-taught with colleagues), students learn some basic principles of distributed computing and systems, and some selected and advanced topics focusing on specific niche distributed systems. Specifically, I teach about RAID and (erasure coding based) RAIN storage and cloud scale file systems. My Teaching material: RAID & beyond , Cloud scale storage , Cryptocurrencies and blockchain An extended version of this course has also been delivered as part of GIAN at IIT Indore . Security Management This undergraduate course emphasizes the need for good (IT) security management. Its aims are to identify the problems associated with security management and conduct case studies to show various (major) organisations (should) solve these problems. The overall treatment of the topics in the course is to provide an introductory glimpse, exploring the breadth of security management - rather than to go in depth of any specific topic. My Teaching material: Introduction ( slides | lecture notes ), Information security governance & the law ( slides | lecture notes ), Risk analysis & assessments ( slides | lecture notes ), Contingency planning & management ( slides | lecture notes ). Exercise questions & answers ( #1 , #2 ). Cryptography This is an introductory course on Cryptography and Network Security. I teach the first half dedicated to an introduction of some basic concepts of cryptography - including symmetric (classical ciphers, DES, AES, modes of operation) and asymmetric key cryptography (RSA, ECC), and the necessary elementary concepts from number theory. My Teaching material: Lecture slides: Introductory concepts and classical ciphers , Number theory basics , Secret key cryptography , Public key cryptography . Interactive web demos for some (random and) basic concepts and algorithms essential to cryptography. Contact School of Computer Science and Engineering Blk N4 (office: 02A-18), North Spine Nanyang Avenue, Nanyang Technological University Singapore 639798 E-mail: firstname@ntu.edu.sg Phone: +65.6790.4855 Fax: +65.6792.6559 2015-2018, Anwitaman Datta Last updated: 17 Feb 2018 Webpage Design: HTML5 UP diff --git a/src/data/compiled_bios/4260.txt b/src/data/compiled_bios/4260.txt new file mode 100644 index 0000000000..8057128347 --- /dev/null +++ b/src/data/compiled_bios/4260.txt @@ -0,0 +1 @@ +Ruben Acuna Ruben Acuna became a lecturer in the School of Computing, Informatics, and Decision Systems Engineering in 2015. Ruben.Acuna@asu.edu Education M.S., Computer Science, Arizona State University, 2015 Research interests Scientific workflows, data management, proteomics October 15, 2015 Erik Wirtanen Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Ruben Acuna Home Directory and Research Directory Faculty Acuna, Ruben Ruben Acuna became a lecturer in the School of Computing, Informatics, and Decision Systems Engineering in 2015. Ruben.Acuna@asu.edu Education M.S., Computer Science, Arizona State University, 2015 Research interests Scientific workflows, data management, proteomics October 15, 2015 Erik Wirtanen CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4261.txt b/src/data/compiled_bios/4261.txt new file mode 100644 index 0000000000..a53e6869ce --- /dev/null +++ b/src/data/compiled_bios/4261.txt @@ -0,0 +1 @@ +Gail-Joon Ahn Professor Gail-Joon Ahn joined ASU in 2008. He has authored more than 90 refereed research papers. Prior to ASU, he was an associate professor of College of Computing and Informatics and Founding Director of Center for Digital Identity and Cyber Defense Research and Laboratory of Information Integration, Security and Privacy at UNC Charlotte. His principal research and teaching interests are in information and systems security. His research foci include vulnerability and risk management, access control, and security architecture for distributed systems. His research has been supported by NSF, NSA, DoD, DoE, Bank of America, Hewlett Packard, Microsoft and Robert Wood Johnson Foundation. He is a recipient of Department of Energy CAREER Award and the Educator of the Year Award from the Federal Information Systems Security Educators Association (FISSEA). gahn@asu.edu 480-965-9007 BYENG 486 http://www.public.asu.edu/~gahn1/ Education Ph.D., Information Technology, George Mason University, 2000 Research interests Vulnerability and risk management, authentication and access control, security architecture for distributed systems, identity management, policy analysis and enforcement, formal models for computer security, and cyber crime analysis Honors and awards DoE CAREER award, 2003 Educator of the Year award, Federal Information Systems Security Educators Association, 2005 Key activities Tutorial Chair for ACM CCS 10 Guest Ed. ACM Trans. on Info & Systems Security (TISSEC, 2007) Information Dir. ACM SIGSAC Steering Comm. Chair, ACM SACMAT PC Co-chair for WWW 09 Security and Privacy Track October 19, 2015 CIDSE Gail-Joon Ahn, PhD, CISSP Professor of Computer Science and Engineering Fulton Entrepreneurial Professor Director, Center for Cybersecurity and Digital Forensics Director, Laboratory of Security Engineering for Future Computing School of Computing, Informatics and Decision Systems Engineering Ira A. Fulton Schools of Engineering , Arizona State University Brickyard Office Office: BYENG 486 Phone: (480) 965-9007 FAX: (480) 965-2751 699 S. Mill Avenue Tempe, AZ 85281 Email: gahn at asu.edu ISTB4 Office Office: ISTB4 465 Phone: (480) 965-9007 FAX: (480) 965-2751 781 Terrace Rd. Tempe, AZ 85287 Email: ahn at asu.edu SEFCOM He is a recipient of Department of Energy CAREER Award and the Educator of the Year Award from the Federal Information Systems Security Educators' Association (FISSEA). Prior to ASU, he was an Associate Professor of College of Computing and Informatics and Founding Director of Center for Digital Identity and Cyber Defense Research ( DICyDER ) at UNC Charlotte. Also, he is a Certified Information Systems Security Professional (CISSP). News and Highlights ASU research center, Allstate partner to ..., ASU Full Circle , July 12, 2016. Allstate Pledges $1.5M for ASU's CDF..., Infosecurity Magazine , June 21, 2016. ASU center, Allstate partner to address cybersecurity..., ASU Now , June 17, 2016. Clark County Water Reclamanation District computer..., Las Vegas Review Journal , March 8, 2016. The State of US Cybersecurity, ASU Now , February 9, 2016. Cybersecurity expert recognized ..., ASU Full Circle , December 17, 2015. ASU engineers working ... nation's energy delivery systems ..., ASU Full Circle , November 20, 2015. How one university is approaching the 'wicked problem' ... The Christian Science Monitor , September 30, 2015. New ASU Cybercurity Center ... ASU Now , September 22, 2015. Team FLOWGUARD wins third place in national ..., ASU Full Circle , August 19, 2015. Working to make mobile payment more secure, ASU Now , December 19, 2014. Website live streaming unsecured webcams, USA Today , November 13, 2014. Highlighted ACM CCS 2014, ASU Full Clrcle , Octobre 23, 2014. Google Fiber expansion chang.., The State Press , March 4, 2014. Windows 8 picture passwords ..., InformationWeek and WeLiveSecurity , August 30, 2013. Tests new picture password system, The State Press , August 28, 2013. Picture password system promising ..., ASU Full Circle and ASU NSU No w, August 7, 2013. ASU scientist patents security process, Phoenix Business Journal , June 14, 2013. Patented system bolsters security ..., ASU Full Circle and ASU Now , May 20, 2013 Homeland security must ..., Tucson Sentinel , Feb 26, 2013 HTML5: the future of ..., The State Press , Oct , 2010. Making mobile computing more secure, ASU Full Circle and ASU Now , August 18, 2010. Innovative mobile device identity management ..., Market Wired , August 17, 2010. Greeting unwanted visitors, Charlotte Business Journal , April 16, 2007. Research Activities and Publications [ ... visit SEFCOM for details ... ] Teaching CSE 465: Introduction to Information Assurance, [ Fall ] CSE 469/598: Forensic Computing: Computer and Network Forensics, [ Spring ] Professional Activities Information Director, ACM Special Interest Group on Security, Audit and Control (SIGSAC) , 2002 onwards. Associate Editor-in-Chief, IEEE Transactions on Dependable and Secure Computing , 2010 onwards. Editorial Board, Computers & Security , 2013 onwards. Editorial Review Board, Journal of Database Management , 2001 onwards. Associate Editor, ACM Transactions on Information and System Security , 2011-2014. Steering Committee Chair, ACM Symposium on Access Control Models And Technologies (SACMAT) , 2016. Steering Committee, ACM Symposium on InformAtion, Computer and Communications Security (ASIACCS), 2016 Program Committee, ACM Conference on Computer and Communications Security (CCS), 2015 . Program Co-Chair, ACM Symposium on InformAtion, Computer and Communications Security (ASIACCS), 2015 . Program Committee, ACM Symposium on Access Control Models And Technologies (SACMAT), 2015 . Program Committee, ACM Conference on Data and Application Security and Privacy (CODASPY), 2015 . Program Committee, IEEE International Computer Software & Applications Conference (COMPSAC), 2015. Track Chair, ACM Symposium on Applied Computing (SAC)--Smart Grid and Smart Technologies Track, 2015 Program Committee, IEEE International Conference on Information Reuse and Integration (IRI), 2015 General Chair, ACM Conference on Computer and Communications Security (CCS), 2014 . Program Committee, The International Conference on Collaborative Computing (CollaborateCom), 2014. Program Committee, European Symposium on Research in Computer Security (ESORICS), 2014. Awards and Recognition CAREER Award, Department of Energy, September 2003 Educator of the Year Award, Federal Information Systems Security Educators' Association, March 23, 2005 Guest Editor, ACM Transactions on Information and System Security , Vol.10, No.1, February 2007 Guest Editor, IEEE Internet Computing (May/June), 2011 NSF Panelist, 2004 onwards. IEEE Senior, 2007 onwards. ACM Distinguished Scientist (Lifetime Member), 2015 onwards. Best Researcher Award , CIDSE, ASU, 2013. Best Paper Award, CODASPY , 2014. Patents US 8402526 System integrating an identity selector and user-portable device and method of use in a user-centric identity management system, March 2013. US 8793757 User-directed privacy control in a user-centric identity management system, July 2014. US 8799984 User agent to exercise privacy control management in a user-centric identity management system, August 2014. US 8850548 User-portable device and method of use in a user-centric identity management system, September 2014. US 8869257 Identity selector for use with a user-portable device and method of use in a user-centric identity management system, October 2014. US 9069948 Methods, systems, and media for measuring quality of gesture-based passwords, June 2015. US 9130915 Preference editor to facilitate privacy controls over user identities, September 2015. Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Gail-Joon Ahn Home Directory and Research Directory Faculty Ahn, Gail-Joon Professor Gail-Joon Ahn joined ASU in 2008. He has authored more than 90 refereed research papers. Prior to ASU, he was an associate professor of College of Computing and Informatics and Founding Director of Center for Digital Identity and Cyber Defense Research and Laboratory of Information Integration, Security and Privacy at UNC Charlotte. His principal research and teaching interests are in information and systems security. His research foci include vulnerability and risk management, access control, and security architecture for distributed systems. His research has been supported by NSF, NSA, DoD, DoE, Bank of America, Hewlett Packard, Microsoft and Robert Wood Johnson Foundation. He is a recipient of Department of Energy CAREER Award and the Educator of the Year Award from the Federal Information Systems Security Educators Association (FISSEA). gahn@asu.edu 480-965-9007 BYENG 486 http://www.public.asu.edu/~gahn1/ Education Ph.D., Information Technology, George Mason University, 2000 Research interests Vulnerability and risk management, authentication and access control, security architecture for distributed systems, identity management, policy analysis and enforcement, formal models for computer security, and cyber crime analysis Honors and awards DoE CAREER award, 2003 Educator of the Year award, Federal Information Systems Security Educators Association, 2005 Key activities Tutorial Chair for ACM CCS 10 Guest Ed. ACM Trans. on Info & Systems Security (TISSEC, 2007) Information Dir. ACM SIGSAC Steering Comm. Chair, ACM SACMAT PC Co-chair for WWW 09 Security and Privacy Track October 19, 2015 CIDSE CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4262.txt b/src/data/compiled_bios/4262.txt new file mode 100644 index 0000000000..66e2f580c8 --- /dev/null +++ b/src/data/compiled_bios/4262.txt @@ -0,0 +1 @@ +Askin, Ronald Ronald G. Askin is a professor in the School of Computing, Informatics, and Decision Systems Engineering at Arizona State University. He received a B.S. in Industrial Engineering from Lehigh University, and an M.S. in Operations Research and a Ph.D. in Industrial and Systems Engineering from Georgia Institute of Technology. Dr. Askin is a member of INFORMS, SME, ASEE and a Fellow of the IIE. He currently serves as Editor-in-Chief of IIE Transactions and Vice President of Meetings for INFORMS. He was General Chair of the 2012 INFORMS Annual Meeting and is a former President of the IIE Council of Fellows and former Chair of the Council of Industrial Engineering Academic Department Heads (CIEADH) and INFORMSs Association of Chairs of Operations Research Departments (ACORD). Dr. Askin has authored over 120 publications focusing on the application of operations research and statistical methods to the design and analysis of integrated production systems. His awards include an NSF Presidential Young Investigator Award, the Shingo Prize for Excellence in Manufacturing Research, the IIE Transactions Development and Applications Award, the IIE Transactions Focus Issue on Design and Manufacturing Best Paper Award (twice), and the Eugene L. Grant Award from The Engineering Economist. He is also a two-time recipient of the IIE Joint Publishers Book-of-the-Year Award. ron.askin@asu.edu 480-965-2567 BYENG 548 Education Ph.D., Systems and Industrial Engineering,Georgia Institute of Technology, 1979 M.S., Operations Research,Georgia Institute of Technology, 1976 B.S., Industrial Engineering,Lehigh University, 1975 Research interests Logistics, manufacturing systems analysis, production planning and scheduling, decision analysis, operations research and applied statistics Honors and awards IIE Transactions on Design and Manufacturing Best Paper Award (1998, 2000) IIE Joint Publishers Book-of-the-Year Award (1994, 2003) IIE Fellow Award ((1995) IIE Transactions Development and Applications Award (1985) Shingo Prize for Excellence in Manufacturing Research (1994) Eugene L. Grant Award (1986) NSF Presidential Young Investigator Award (1984) Key activities Editor-in-Chief, IIE Transactions General Chair, 2012 INFORMS Annual Conference Past Chair, Council of Industrial Engineering Academic Department Heads Past President, IIE Council of Fellows Past Chair, INFORMS Manufacturing and Service Operations Management Society Director of the School of Computing, Informatics, and Decision Systems Engineering, 20092016 January 26, 2017 CIDSE Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact CIDSE-Askin-Ron-video_8180_a Home Askin, Ronald CIDSE-Askin-Ron-video_8180_a October 15, 2016 CIDSE CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Askin, Ronald Home Directory and Research Directory Faculty Askin, Ronald Ronald G. Askin is a professor in the School of Computing, Informatics, and Decision Systems Engineering at Arizona State University. He received a B.S. in Industrial Engineering from Lehigh University, and an M.S. in Operations Research and a Ph.D. in Industrial and Systems Engineering from Georgia Institute of Technology. Dr. Askin is a member of INFORMS, SME, ASEE and a Fellow of the IIE. He currently serves as Editor-in-Chief of IIE Transactions and Vice President of Meetings for INFORMS. He was General Chair of the 2012 INFORMS Annual Meeting and is a former President of the IIE Council of Fellows and former Chair of the Council of Industrial Engineering Academic Department Heads (CIEADH) and INFORMSs Association of Chairs of Operations Research Departments (ACORD). Dr. Askin has authored over 120 publications focusing on the application of operations research and statistical methods to the design and analysis of integrated production systems. His awards include an NSF Presidential Young Investigator Award, the Shingo Prize for Excellence in Manufacturing Research, the IIE Transactions Development and Applications Award, the IIE Transactions Focus Issue on Design and Manufacturing Best Paper Award (twice), and the Eugene L. Grant Award from The Engineering Economist . He is also a two-time recipient of the IIE Joint Publishers Book-of-the-Year Award. ron.askin@asu.edu 480-965-2567 BYENG 548 Education Ph.D., Systems and Industrial Engineering,Georgia Institute of Technology, 1979 M.S., Operations Research,Georgia Institute of Technology, 1976 B.S., Industrial Engineering,Lehigh University, 1975 Research interests Logistics, manufacturing systems analysis, production planning and scheduling, decision analysis, operations research and applied statistics Honors and awards IIE Transactions on Design and Manufacturing Best Paper Award (1998, 2000) IIE Joint Publishers Book-of-the-Year Award (1994, 2003) IIE Fellow Award ((1995) IIE Transactions Development and Applications Award (1985) Shingo Prize for Excellence in Manufacturing Research (1994) Eugene L. Grant Award (1986) NSF Presidential Young Investigator Award (1984) Key activities Editor-in-Chief, IIE Transactions General Chair, 2012 INFORMS Annual Conference Past Chair, Council of Industrial Engineering Academic Department Heads Past President, IIE Council of Fellows Past Chair, INFORMS Manufacturing and Service Operations Management Society Director of the School of Computing, Informatics, and Decision Systems Engineering, 20092016 January 26, 2017 CIDSE CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4263.txt b/src/data/compiled_bios/4263.txt new file mode 100644 index 0000000000..e9081b1383 --- /dev/null +++ b/src/data/compiled_bios/4263.txt @@ -0,0 +1 @@ +Atkinson, Robert Associate Professor Robert Atkinson holds a joint appointment in the School of Computing, Informatics, and Decision Systems Engineering in the Ira A. Schools of Engineering and the Division of Educational Leadership and Innovation in the Mary Lou Fulton Teachers College. He earned an Applied Cognitive Science Ph.D. in 1999 from University of Wisconsin, Madison with a minor in statistics and research design. He joined the ASU faculty in 2002 as an assistant professor after teaching for three years at Mississippi State University. robert.atkinson@asu.edu 480-727-7765 BYENG 362 angle.lab.asu.edu ilux.lab.asu.edu Education Ph.D., Educational Psychology,University of Wisconsin, Madison, 1999 M.S., Educational Psychology,University of Wisconsin, Madison, 1997 B.A., Sociology,California State University, Chico, 1992 Research interests Personalized learning, social media, learner analytics, mobile learning, cognitive science, usability testing, human-computer interaction August 17, 2015 CIDSE Toggle navigation Home About Us Services Equipment Gallery Our Team Contact Blog About Us iLux, leaders in innovative learning and user experience What Makes iLux Unique? iLux is equipped with the most advance EEG monitoring and eye-tracking technology as well as the highly trained personnel to operate it. The difference with iLux is that there are no limits to your testing needs. We are capable of running equipment in all conditions whether it be in a lab a controlled lab setting, on a mobile device, or even with our mobile equipment for use out in everyday life. Our portable equipment allows us to conduct research in a variety of environments What is iLux? I stands for innovation and Lux is the measure of illumination. Here at iLux we shed light on usability issues that face our clients. Using state-of-the art equipment and techniques, we are able to provide clear, accurate, and objective data that goes beyond personal opinions and assumptions. Who is iLux? iLux is on the campus of Arizona State University. Located in the heart of a rich ongoing research environment consisting of the most qualified staff. Our consultants can assist you with research design, data analysis and visualization, and PhD-level advice by qualified, publishing researchers. How iLux can help you! With our wide variety of equipment and researchers, ilux will help you identify and discover a solution to your problem! You get to choose from our vast set of tools and technology to decide exactly what you need. The choice is yours! Innovation ASU was ranked #1 most innovative university of 2015 100% mobile capability The equipment at iLux is designed to accomidate studies in any enviornemnt. You can learn more in the sections below. User Experience Design User experience design (UX, UXD, or UED) is the process of enhancing user experience by improving usability, accessibility, and pleasure from interaction Know what customers think about your product. Contact us Tools & Services EEG Sensors placed on the surface of the scalp non-invasively record electrical channels sampled at 256 times per second. Raw brain responses can be translated into measurements of attention, excitement, engagement, frustration or cognitive load. Data can be synchronized with eye tracking, galvanic skin response, and facial expression data to produce a complete array of evidence of user response to stimuli. Eye Tracking Infrared cameras capture visual attention and fixation. By recording eye movement, eye tracking technology is able to record fixation points and how long a user gazes at certain elements. This data can be used to create heat maps of focus by users. Eye tracking can be used in coordination with EEG and galvanic skin response. Lab Environment iLUX provides a state-of-the-art lab environment located at the Ira A. Fulton Schools of Engineering at Arizona State University in Tempe, Arizona. A complete range of equipment, trained technicians, data analysts, and consultants are available for research ranging from website and device usability to shopper and advertising and biomedical. Data Mining and Data Analysis In coordination with the Arizona State University School of Computing, Informatics, and Decision Systems Engineering, iLUX is able to provide state-of-the-art data mining and data analysis services that can help you make sense of and visualize the data you are gathering. Experimental Design and Results Interpretation iLUX provides expert consultation with PhD researchers to assist in the construction of experiments with a high degree of validity and reliability with proper controls and isolation of variables to ensure results that are publishable and defendable. Equipment & Software iLUX in the News ASUs iLux Lab looking at exercises impact on social, emotional intelligence Jan 2018 ASU Now adidas and iLUX lab April 2017 ASU Lab provides invaluable insight into the user experience April 2015 ABM X-10 The ABM X-10 10-channel wireless headset combines 9 channels of midline and lateral EEG sites and one channel for ECG, EMG, or EOG data sampling 256 times a second. The headset is comfortable and non-intrusive and features a Bluetooth wireless signal with a radius of up to 10 meters, and 8 hour rechargeable battery life. [] Tobii Mobile Device Stand The Tobii Mobile Device Stand, in conjunction with the X2-60 eye tracker, provides a stable environment for doing eye tracking on smaller mobile devices such as phones, tablets, and e-readers. The stand adjusts for different participant body height and creates the ideal situation for natural participant-device interaction. Tobii X2-60 Tobii X2-60 is a modular eye tracking research system designed to capture gaze and eye movement without restricting head movement. The X2-60s accurate and robust tracking capabilities are ideal for usability, market research, and psychological studies that involve PC or laptop screens, mobile devices, or television screens. Tobii Glasses 1, Tobii Glasses 2 Tobii Glass is a wearable eye tracking tool ideal for revealing what captures, attention or interest by monitoring the eye movement and gaze of the wearer. Tobii Glass is completely mobile and useable in the natural world or lab environment. iMotions Attention Tool 5.0 iMotions Attention Tool 5.0 is the leading agnostic hardware integration software platform allowing for the synchronization of EEG, eye tracking, GSR, and facial expression data. The software allows for fast and easy access to synchronized biometric raw data into a simple .txt file ideal for data mining and analysis. Shimmer3 GSR The Shimmer3 wireless GSR sensor provides real-time galvanic skin response biofeedback measuring skin conductivity. Bluetooth connectivity and onboard autonomous data-loggers allow for complete mobility. Validated for use in biomedical application, it features four digitally controlled measurement ranges to ensure accurate measurements. FACET Facial Expression Capture Previous Next Gallery Mobile Devices and Apps Museum Tour Window Shopping Product shopping Brickyard Engineering Building Data Analysis Magazine Browsing Go Back Our Team Dr. Robert Atkinson Dr. Robert Atkinson is an Associate Professor with a joint appointment in the School of Computing, Informatics, and Decision Systems Engineering in the Ira A. Schools of Engineering and the Division of Educational Leadership and Innovation in the Mary Lou Fulton Teachers College. His research explores the intersection of cognitive science, informatics, instructional design, and educational technology. He earned in Applied Cognitive Science PhD degree from University of Wisconsin Madison with a minor in statistics and research design. Dr. George Runger George Runger is the chair of the Department of Biomedical Informatics (BMI) and professor in the School of Computing, Informatics, and Decision Systems Engineering at Arizona State University. He researches analytical methods for knowledge generation and data-driven improvements in organizations. He focuses on machine learning for large, complex data, and real-time analysis, with applications to surveillance, decision support, and population health. He holds degrees in industrial engineering and statistics. He has more than 100 publications in research journals with funding from federal and corporate sponsors. He is currently the department editor for healthcare informatics for IIE Transactions on Healthcare Systems Engineering. Dr. Christopher Lee Christopher Lee is a Clinical Assistant Professor in Marketing and Faculty Direct of the Sports Business major. His research interests focus on marketing and consumer behavior with more specific interests in the framing of information. Christopher has a background in the sports industry, having worked with Turnkey Sports and Entertainment, the NBAs Golden State Warriors, sports cap manufacturer New Era Cap and Camelback Ranch, the spring-training home of the Los Angeles Dodgers and Chicago White Sox. Christopher earned his Ph.D. in marketing from the University of Oregon and his Bachelors degree in Legal Studies from the University of California, Berkeley. In addition, he is also a graduate of the Master of Business Administration program at Arizona State University where his concentration was sports business. Dr. Helen Chavez Helen Chavez is a postdoctoral researcher at iLUX lab. Helens research area of interest is focused on user and learner experience, mainly on the development of adaptive environments that consider the diverse aspects of peoples experiences and needs; this is complemented with her interest in areas such as Affective Computing, Human Computer Interfaces, Intelligent Tutoring System, Educational Technology, and Software Engineering. Dr. Irfan Kula Irfan has 10 years of experience in instructional design, content development, and evaluation experience in educational technology and e-learning solutions. Since 2008, Irfan has worked at Arizona State University to develop effective interactive tutoring and learner assessments tools for K-12 learners. His data analysis reveals significant gains in student comprehension. Get in touch Feel free to contact us with any questions. Send Message Brickyard Engineering (BYENG) #225Q 699 S. Mill Ave. Tempe AZ 85281 ilux@asu.edu Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Atkinson, Robert Home Directory and Research Directory Faculty Atkinson, Robert Associate Professor Robert Atkinson holds a joint appointment in the School of Computing, Informatics, and Decision Systems Engineering in the Ira A. Schools of Engineering and the Division of Educational Leadership and Innovation in the Mary Lou Fulton Teachers College. He earned an Applied Cognitive Science Ph.D. in 1999 from University of Wisconsin, Madison with a minor in statistics and research design. He joined the ASU faculty in 2002 as an assistant professor after teaching for three years at Mississippi State University. robert.atkinson@asu.edu 480-727-7765 BYENG 362 angle.lab.asu.edu ilux.lab.asu.edu Education Ph.D., Educational Psychology,University of Wisconsin, Madison, 1999 M.S., Educational Psychology,University of Wisconsin, Madison, 1997 B.A., Sociology,California State University, Chico, 1992 Research interests Personalized learning, social media, learner analytics, mobile learning, cognitive science, usability testing, human-computer interaction August 17, 2015 CIDSE CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4264.txt b/src/data/compiled_bios/4264.txt new file mode 100644 index 0000000000..b87c1de7d5 --- /dev/null +++ b/src/data/compiled_bios/4264.txt @@ -0,0 +1 @@ +Janaka Balasooriya Lecturer Janaka Balasooriya janakab@asu.edu http://www.public.asu.edu/~jbalasoo/ Education Ph.D.,Computer Science, Georgia State University, 2006 Research interests Distributed, internet and grid computing, web service coordination primitives and system architectures, biological data integration and interoperability, middleware and embedded software December 2, 2014 CIDSE Janaka Balasooriya Department of Computer Science and Engineering Arizona State University - Tempe Email: janakab {at} asu {dot}edu Phone: 573-341-4726 http://www.public.asu.edu/~jbalasoo/ PhD: Georgia State University - Atlanta, Fall 2006 EDUCATION Ph.D. in Computer Science at Georgia State University, Atlanta, August 2006. Dissertation title: Distributed Web Service Coordination for Collaborative Applications and Biological Workflows , Co-Advisors: Prof. Sushil K. Prasad and Prof. Shamkant Navathe M.S. in Computer Science at Georgia State University, Atlanta, May 2005. B.S. eng (Hons.) in Computer Science and Engineering at University of Moratuwa, Sri Lanka, August 1998. Diploma in Management at The Open university of Sri Lanka, Colombo, July 1996. Research Interests Distributed Computing: Web service coordination primitives and system architectures, Middleware for distributed web service applications, Distributed computing systems. Bioinformatics: Biological workflows, Biological data integration and interoperability , Gene Family Member Identification . Mobile Computing: Middleware and Embedded Software for Wireless Personal Communication Devices, Workflows/long-lived transactions over mobile data sources. Workflows Coordination : Workflow dependency modeling, Workflows over distributed objects, Expressivness and Modeling power of workflow languages . Teaching Arizona State University (Fall 2007 - Current) Spring 2007: CSE 240: Programming Languages, CSE 360, Software Engineering Fall 2007: CSE 240: Programming Languages, CSE 100: Introduction to Programming with C++ University of Missouri - Rolla ( Fall 2006 - Spring 2007) CS 206, Software Engineering I , CS 236, Programming Language Concepts/Translators , Spring 2007 CS 206, Software Engineering I, CS 236, Programming Language Concepts/Translators, Fall 2006 Georgia State University ( 2001 - 2006 Summer) CSC 3410: Data Structures Using C++ , Summer 2005 CSC 2010: Introduction to Computer Science , Spring 2005 CSC 2010: Introduction to Computer Science , Spring 2004 Selected List of Current Research Projects Biological data and tool Integration: our long-term goal is empowering biologists to easily and rapidly configure set of desired components into the required ad-hoc workflows on the fly, possibly involving no programming, while retaining the control to steer and monitor the execution of such workflows. Currently, we are extending our BondFlow system for biological workflows. Also, Currently I am collaborating with several other faculty members in this project. Gene Family Member Identification : Currently, I am involved in research activities at bioinformatics research group directed by Dr. Fikret Ercal in gene family member identification. Our goal is to find efficient and accurate algorithms and methodologies identify members of gene family. BondFlow System: (http://www.cs.gsu.edu/~cscjlbx/bondflow/bondflow.html): Objective of the BondFlow system is to develop collaborative applications including workflows over distributed web services. This involves investigating a minimum set of coordination primitives and architectural styles for distributed web services coordination. The BondFlow project has been initiated based on my dissertation work. I have had significant success in this project including a working prototype. In this project I had the opportunity to steer the software design and implementation aspects of two Georgia State University M.S. thesis students under the direction of my advisor Prof. Sushil K. Prasad. RESEARCH Collaborations Dr. Sushil K. Prasad, Department of Computer Science at Georgia State University (dissertation advisor) Dr. Shamkant Navathe, College of Computing at Georgia Tech (dissertation co-advisor) Dr. Fikret Ercal and Dr. Sanjay Madria, Department of Computer Science at University of Missouri, Rolla Dr. Garcia Gonzalez, Biomedical Informatics Department at Arizona State University Publications Janaka Balasooriya, Jaimini Joshi, Sushil K. Prasad, Shamkant B. Navathe, Distributed Coordination of Workflows over Web Services and Their Handheld-Based Execution. ICDCN 2008: 39-53. Graciela Gonzalez, Janaka Balasooriya, Web Service Orchestration for Bioinformatics Systems: Challenges and Current Workflow Definition Approaches. ICWS 2007: 1226-1227 Robert J. Calin-Jageman, Akshaye Dhawan, Hong Yang, Hsiu-Chung Wang, Hao Tian, Piyaphol Phoungphol, Chad Frederick, Janaka Balasooriya , Yan Chen, Sushil K. Prasad, Rajshekhar Sunderraman, Ying Zhu, Paul S. Katz: Development of NeuronBank: A Federation of Customizable Knowledge Bases of Neuronal Circuitry. IEEE SCW 2007: 114-121 Janaka Balasooriya , Jaimini Joshi, Sushil K. Prasa d, and Shamkant Navathe, A Two-Layered Software Architecture for Distributed Workflow Coordination over Web Services ,Accepted in the 4 th Intl. Conf. on Web Services (ICWS06), Chicago, September, 2006. Janaka Balasooriya and Sushil K. Prasa d, Toward Fundamental Primitives andInfrastructure Enhancements for Distributed Web Object Coordination andWorkflows, In Proc. of IEEE, 3 rd Intl. Conf. on Web Services (ICWS05), Orlando, July, 2005 . Sushil K.Prasad, Anu G. Bourgeois, Praveen Madiraju, Srilaxmi Malladi, and Janaka Balasooriya , A Methodology for Engineering Collaborative Applications over Mobile Web Objects using SyD Middleware, In Proc. of IEEE, 3 rd Intl. Conf. on Web Services (ICWS05) , Orlando, July, 2005 (acceptance rate 20%) Janaka Balasooriya , Mohini Padye, Sushil Prasad, and Shamkanth B. Navathe, BondFlow: A System for Distributed Coordination of Workflows over Web Services, In Proc. of IEEE, 14th Heterogeneous Computing Workshop in Conjunction with IPDPS 2005 . Denver, Colorado, USA, April. Sushil K. Prasad and Janaka Balasooriya, Fundamental Capabilities of Web Coordination Bonds: Modeling Petri Nets and Expressing Workflow and Communication Patterns over Web Services, In Proc. of IEEE, 38 th Hawaii Intl, Conf. on System Sciences (HICSS-38) , Big Island, Hawaii, January, 2005. Sushil K. Prasad and Janaka Balasoorya , Web Coordination Bonds: A Simple Enhancement to Web Services Infrastructure for Effective Collaboration, In Proc. of IEEE, 37 th Hawaii Intl. Conf. on System Sciences (HICSS-37) , Big Island, Hawaii, January, 2004. Sushil K. Prasad, Vijay Madisetti, Shamkant B. Navathe, ..., Janaka Balasooriya, et al., SyD: A Middleware Testbed for Collaborative Applications over Small Heterogeneous Devices and Data Stores, In Proc. of ACM/IFIP/USENIX, 5th Intl. Middleware Conf., Toronto, October, 2004 (acceptance rate : 13%) Sushil K. Prasad, Vijay Madisetti, Raj Sunderraman, ..., Janaka Balasooriya, et al., Demo and Poster, A Middleware for Collaborative Applications on System on Devices (SyD), in the ACM SIGMOBILE/USENIX, 1 st Intl. Conf. on Mobile Systems, Applications, and Services (MobiSys) , San Francisco, California, May, 2003. Journal Papers under Review/Preparation: Sushil K. Prasad, Shamkant B. Navathe, Janaka Balasooriya , et al., System on Mobile Devices (SyD) Middleware for Collaborative Applications over Mobile Heterogeneous Devices and Data Stores, Under Preparation Sushil K. Prasad and Janaka Balasooriya , Web Bonds: Two simple primitives for distributed coordination among web services, Submitted to the ACM Transaction on Web , March 2006. (Under review) S. K. Prasad, M. Weeks, and J. Balasooriya , Fleet Application Case-study using SyD Middleware, Submitted to the IASTED Intl. Journal of Computers and Applications , July 2005. (Under review) Praveen Madiraju, Srilaxmi Malladi, Janaka Balasooriya , Arthi Hariharan, Sushil K. Prasad, Anu Bourgeois, A Methodology for Engineering Collaborative and Ad-hoc Mobile Applications Using SyD Middleware. (Under Preparation) Janaka Balasooriya and Sushil K. Prasad, Expressiveness of Web Coordination Bonds for Distributed Workflows over Web Services (Under Preparation) Provisional Patent Applications: S. K. Prasad and J. Balasooriya . Web Coordination Bonds: An enhancement to Web Service Infrastructure for Effective Collaboration, Provisional Patent filed, December, 2003. Janaka Balasoorya , Wissam Ramlavi, Hui Liu, Yi Pan, Alex Zelikovsky, and Sushil K. Prasad. Distributed SyD Event Handler Module, Provisional Patent filed, October, 2002. Sushil K. Prasad, Vijay Madisetti, Raj Sunderraman, , Janaka Balasooriya , et al., SyD Kernel Design and Implementation, Provisional Patent filed, October, 2002. Sushil K. Prasad, Vijay Madisetti, Raj Sunderraman, , Janaka Balasooriya , et al., How to Rapidly Develop a SyD Application?, Provisional Patent filed, October, 2002. Technical Reports: Janaka Balasooriya and Sushil K. Prasad , A Middleware Architecture for Conversation-aware Stateful Web Services for Distributed Coordination, Tech Report, CS-TR-05-03, Georgia State University, July 2005, 33 pages. Sushil K. Prasad and Janaka Balasooriya, Web Coordination Bonds: A Simple and Theoretically Sound Framework for Effective Collaboration among Web Services, Technical Report CS-TR-04-01, Department of Computer Science, Georgia State University, June 2004, 36 pages. Conference/Public Presentations A Two-Layered Software Architecture for Distributed Workflow Coordination over Web Services , 4 th Intl. Conf. on Web Services (ICWS06), Chicago, September, 2006. Toward Fundamental Primitives andInfrastructure Enhancements for Distributed Web Object Coordination and Workflows,Presentation at the 3 rd IEEE Intl. Conf. on Web Services (ICWS05), Orlando, July, 2005. BondFlow: A System for Distributed Coordination of Workflows over Web Services, Presentation, at 14 th Heterogeneous computing workshop in conjunction with IPDPS 2005. Denver, Colorado, USA, April 4. "XML database for Handheld Devices", Demo, Yamacraw Industry Advisory Board (IAB) Conference , Atlanta, Georgia, October, 2003. "Implementing a Mobile Fleet Application using SyD kernel APIs", Presentation and Demo, Armstrong Atlantic State university , Savannah, Georgia, March 6, 2003. "Implementing a Mobile Fleet system using SyD Kernel APIs", Demo, Yamacraw Industry Advisory Board (IAB) Conference , Atlanta, Georgia, October, 2002. Professional Activities Program committee, 2008 International Conference on Service Computing (SCC), Hawaii, July 2008. Program committee, ACM Symposium on Applied Computing (SAC) 2007. Program committee, 2007 International Conference on Service Computing (SCC), Salt Lake City, Utah, July 2007. Organizing a workshop on International Workshop on Service Oriented Technologies for Biological Databases and Tools (SOBDAT 2007) at International Conference on Web Services (ICWS 2007), Salt Lake City, Utah, July, 2007. (http://www.cs.gsu.edu/~hipc/sotbdt07/) Student Volunteer for the 22nd International Conference on Data Engineering (ICDE 06) 2006. Referee for 20th IEEE Intl. Parallel & Distributed Processing Symposium (IPDPS06). Referee for IEEE potential magazine for 2005-2006 academic year. Referee for 5th Workshop on High Performance Scientific and Engineering Computing with Applications (HPSECA-03) in Kaohsiung, Taiwan, Oct, 2003 Referee for Intl. Workshop on Web-based Internet Computing for Science and Engineering (WBICSE'06) to be held in Harbin, China, January 18, 2006. Involved in the I EEE High performance computing (HiPC) conference proceedings preparation under the direction of my advisor Dr. Sushil K. Prasad (HiPC03, HiPC04, and HiPC05). Executive committee member at GSU ACM student chapter since 2001. Held various responsibilities including secretary, publicity chair, and web master. Student Member of ACM, IEEE . Member of the Georgia State University Phi-Kappa-Phi honor society. Graduate/Undergraduate Courses Courses Last Modified (01/05/2008) if !vml endif Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Janaka Balasooriya Home Directory and Research Directory Faculty Balasooriya, Janaka Lecturer Janaka Balasooriya janakab@asu.edu http://www.public.asu.edu/~jbalasoo/ Education Ph.D.,Computer Science, Georgia State University, 2006 Research interests Distributed, internet and grid computing, web service coordination primitives and system architectures, biological data integration and interoperability, middleware and embedded software December 2, 2014 CIDSE CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4265.txt b/src/data/compiled_bios/4265.txt new file mode 100644 index 0000000000..404760366d --- /dev/null +++ b/src/data/compiled_bios/4265.txt @@ -0,0 +1 @@ +Ajay Bansal Assistant Professor Ajay Bansal joined Arizona State University in Spring 2011. Prior to joining ASU, he was a Visiting Assistant Professor at Georgetown University in Washington, D.C. He also worked in the industry for 4 years as a Software Engineer at SIEMENS India, Metallect Corp., and Tyler Technologies in Plano, TX. His primary research focuses on semantics and implementation of declarative programming languages, specifically in the areas of Logic Programming and Answer Set Programming. He is also interested in Data Mining, specifically Opinion Mining and Classification algorithms. He has also been working in the area of Web service description, discovery & composition and was involved in the design and development of a Web service description language called USDL (Universal Service-Semantics Description Language). ajay.bansal@asu.edu 480-727-1647 Peralta 230V Education Ph.D., Computer Science, The University of Texas at Dallas, 2007 M.S., Computer Science, Texas Tech University, 2002 B.Tech., Computer Science & Engineering, National Institute of Technology Warangal, India, 1999 Research interests Logic Programming, Constraint Programming, Answer Set Programming, Data Mining, Machine Learning, Semantic Computing, Service-Oriented Architecture. Honors and awards Department of Engineerings Teaching recognition award for 2013 at ASU. Postdoctoral Fellowship, Dept. of Computer Science, Georgetown University, 2008. Best Paper Award at the European Conference On Web Services (ECOWS) for the paper titled Universal Service-Semantics Description Language (USDL) in 2005. Key activities Faculty Mentor, CS Club on Polytechnic Campus. Co-Chair of the Web Services Challenge (WSC), 2009. Academic Director, Computer Science Summer Camp for high school students at Georgetown University, 2008. October 11, 2017 Erik Wirtanen Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Ajay Bansal Home Directory and Research Directory Faculty Bansal, Ajay Assistant Professor Ajay Bansal joined Arizona State University in Spring 2011. Prior to joining ASU, he was a Visiting Assistant Professor at Georgetown University in Washington, D.C. He also worked in the industry for 4 years as a Software Engineer at SIEMENS India, Metallect Corp., and Tyler Technologies in Plano, TX. His primary research focuses on semantics and implementation of declarative programming languages, specifically in the areas of Logic Programming and Answer Set Programming. He is also interested in Data Mining, specifically Opinion Mining and Classification algorithms. He has also been working in the area of Web service description, discovery & composition and was involved in the design and development of a Web service description language called USDL (Universal Service-Semantics Description Language). ajay.bansal@asu.edu 480-727-1647 Peralta 230V Education Ph.D., Computer Science, The University of Texas at Dallas, 2007 M.S., Computer Science, Texas Tech University, 2002 B.Tech., Computer Science & Engineering, National Institute of Technology Warangal, India, 1999 Research interests Logic Programming, Constraint Programming, Answer Set Programming, Data Mining, Machine Learning, Semantic Computing, Service-Oriented Architecture. Honors and awards Department of Engineerings Teaching recognition award for 2013 at ASU. Postdoctoral Fellowship, Dept. of Computer Science, Georgetown University, 2008. Best Paper Award at the European Conference On Web Services (ECOWS) for the paper titled Universal Service-Semantics Description Language (USDL) in 2005. Key activities Faculty Mentor, CS Club on Polytechnic Campus. Co-Chair of the Web Services Challenge (WSC), 2009. Academic Director , Computer Science Summer Camp for high school students at Georgetown University, 2008. October 11, 2017 Erik Wirtanen CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4266.txt b/src/data/compiled_bios/4266.txt new file mode 100644 index 0000000000..221c97457f --- /dev/null +++ b/src/data/compiled_bios/4266.txt @@ -0,0 +1 @@ +Srividya Bansal Srividya Bansal joined Arizona State University as assistant professor in Fall 2010. Prior to joining ASU she was a Visiting Assistant Professor at Georgetown University in Washington, D.C. She also worked in the industry for 5 years as a Software Engineer at SAP Labs India and Tyler Technologies in Plano, TX. Her primary research focuses on semantic computing for data integration on the Web, handling heterogeneity & variety in Big Data, semantic search & querying of Big Data, Web service description, discovery & composition, and representation of knowledge around outcome-based instruction design in STEM education. Her work has been published in several conferences and journals in the area of Semantic Computing, Big Data, and Services Computing. She works in the area of curriculum design in Engineering Education (funded by National Science Foundation) and Software Engineering Education research that focuses on various delivery models for team-based project-centric courses. srividya.bansal@asu.edu 480-727-5107 Peralta 230G www.public.asu.edu/~skbansa2 Education Ph.D., Computer Science, The University of Texas at Dallas, 2007 M.S., Computer Science, Texas Tech University, 2002 B.Tech., Computer Science & Engineering, National Institute of Technology Warangal, India, 1999 Research interests Semantic Computing; Big Data Integration; semantics-based solutions for outcome-based instruction design in STEM education; delivery models for Software Engineering Education; Web service description, discovery, and composition. Key activities Editorial Board Member: International Journal of Semantic and Infrastructure Services; 2014-2018. Editorial Board Member: International Journal of Big Data (IJBD, ISSN: 2326-442X); 2013-2015. Reviewer for journals: Service Oriented Computing and Applications (SOCA), Knowledge and Information Systems (KIS), IEEE Internet Computing (IC), IEEE Transactions on Services Computing (TSC), Computer Languages, Systems And Structures (COMLAN) Web services Challenge at IEEE Conference on Enterprise Computing, E-Commerce, and E-Services Participated in the competition in 2006 & 2007; Organized the competition in 2008 & 2009. Won the Best Paper Award for paper titled Universal Service-Semantics Description Language (USDL) at the European Conference On Web Services (ECOWS) 2005. January 26, 2017 Erik Wirtanen Srividya Bansal Home Research Publications Teaching Student Advising Professional Service CV SDI2017 SDI2019 Srividya K. Bansal Associate Professor (Software Engineering program) School of Computing Informatics, Decision Systems Engg. Ira A.Fulton Schools of Engineering Arizona State University Office: Peralta 230G ASU Polytechnic Campus 7171 E Sonoran Arroyo Mall, Mesa AZ 85212 Phone: 480-727-5107 Email: srividya.bansal@asu.edu About Me: I joined the Department of Engineering at Arizona State University Polytechnic in Fall 2010 as an Assistant Professor. Prior to joining ASU, I was a Visiting Assistant Professor at Georgetown University in Washington, D.C. I also worked in the industry for 5 years as a Software Engineer at SAP Labs India and Tyler Technologies in Plano, TX. skbansal@GoogleScholar skbansal@DBLP skbansal@LinkedIn My Research: Myprimary research focuses on semantics-based approaches for Web service description, discovery & composition, use of semantic technologies to perform effective searches and information processing in various application areas such as handling heterogeneity & diversity in Big Data, representation of knowledge around outcome-based instruction design in STEM education, and semantic tagging in a collaborative bookmarking environment. She also works on Software Engineering Education research that focuses on experimenting various delivery models in project-centric courses. Education: Ph.D. in Computer Science, The University of Texas at Dallas (December 2007) M.S. in Computer Science, Texas Tech University , Lubbock, Texas (May 2002) B.Tech. in Computer Science & Engineering, National Institute of Technology , Warangal, India (May 1999) (Formerly known as REC, Warangal) News: August 2015: Received funding from CRA-W and CDC to mentor a team on Collaborative Research Experience for Undergraduates (CREU) project titled "Linked data for real estate advisor application". June 2015: Full research paper titled "Distributed SPARQL over Big RDF Data" to appear in proceedings of IEEE Big Data Congress 2015. April 2015: Research paper titled "Presto-RDF: SPARQL Querying over Big RDF Data" to appear in Australasian Database conference (ADC 2015). March 2015: Article titled "Integrating Big Data" published in IEEE Computer Special Issue on Big Data Management , March 2015. August 2014: Received funding from CRA-W and CDC to mentor a team on Collaborative Research Experience for Undergraduates (CREU) project titled "Exploring the use of semantic technologies for big data integration". October 2013: IMODS project featured on ASU news. Click here to see the story . August 2013: Received funding from NSF-TUES program for the Instructional Module Development System (IMODS) project. August 2011: Participated in Exploring How People Learn Engineering - a workshop sponsored by NSF at the Colorado School of Mines, CO. February 2011: Leading Web Weaver scientific village - PRIME the Pipeline project in Spring 2011. Please click here to see student projects. FAITH 'When we walk to the endof all the light we have, And take a stepinto the darkness of the unknown, We must believeOne of the two things will happen: That we will land on something solid, or We will learn to fly.' Create a free web site with Weebly Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Srividya Bansal Home Directory and Research Directory Faculty Bansal, Srividya Srividya Bansal joined Arizona State University as assistant professor in Fall 2010. Prior to joining ASU she was a Visiting Assistant Professor at Georgetown University in Washington, D.C. She also worked in the industry for 5 years as a Software Engineer at SAP Labs India and Tyler Technologies in Plano, TX. Her primary research focuses on semantic computing for data integration on the Web, handling heterogeneity & variety in Big Data, semantic search & querying of Big Data, Web service description, discovery & composition, and representation of knowledge around outcome-based instruction design in STEM education. Her work has been published in several conferences and journals in the area of Semantic Computing, Big Data, and Services Computing. She works in the area of curriculum design in Engineering Education (funded by National Science Foundation) and Software Engineering Education research that focuses on various delivery models for team-based project-centric courses. srividya.bansal@asu.edu 480-727-5107 Peralta 230G www.public.asu.edu/~skbansa2 Education Ph.D., Computer Science, The University of Texas at Dallas, 2007 M.S., Computer Science, Texas Tech University, 2002 B.Tech., Computer Science & Engineering, National Institute of Technology Warangal, India, 1999 Research interests Semantic Computing; Big Data Integration; semantics-based solutions for outcome-based instruction design in STEM education; delivery models for Software Engineering Education; Web service description, discovery, and composition. Key activities Editorial Board Member: International Journal of Semantic and Infrastructure Services; 2014-2018. Editorial Board Member: International Journal of Big Data (IJBD, ISSN: 2326-442X); 2013-2015. Reviewer for journals: Service Oriented Computing and Applications (SOCA), Knowledge and Information Systems (KIS), IEEE Internet Computing (IC), IEEE Transactions on Services Computing (TSC), Computer Languages, Systems And Structures (COMLAN) Web services Challenge at IEEE Conference on Enterprise Computing, E-Commerce, and E-Services Participated in the competition in 2006 & 2007; Organized the competition in 2008 & 2009. Won the Best Paper Award for paper titled Universal Service-Semantics Description Language (USDL) at the European Conference On Web Services (ECOWS) 2005. January 26, 2017 Erik Wirtanen CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4267.txt b/src/data/compiled_bios/4267.txt new file mode 100644 index 0000000000..afd4ee7549 --- /dev/null +++ b/src/data/compiled_bios/4267.txt @@ -0,0 +1 @@ +Chitta Baral Professor Chitta Baralhas been at ASU since 1999.Barals main research interests are threefold: (i) developing language constructs and surrounding building block results for representing knowledge and reasoning with it, (ii) developing a theory of actions and their impact on an environment and using it in autonomous agent design, planning and diagnosis, (iii) Using (i) and (ii) in modeling cell behavior and reasoning with it to explain observations and develop plans of action so as to alter pathways that could suggest therapeutic procedures. chitta@asu.edu 480-727-6047 BYENG 572 http://www.public.asu.edu/~cbaral/ Education Ph.D., University of Maryland, 1991 Master of Science Computer Science, University of Maryland, 1990 Bachelor of Technology with Honors Computer Science and Engineering, Indian Institute of Technology, 1987 Research interests Knowledge representation, temporal logics, logic programming, dynamic systems, text extraction, question answering, natural language semantics, bioinformatics Honors and awards NSF CAREER Award, 1995 Member, senior program committee, AAAI 2002 and 2004 Best paper awards at CoopIS 2000 and ATAL 1999 Team adviser of robot teams that placed 1st (1997) and 3rd (1996) in AAAI robot contests Key activities Associate Editor of Journal of AI Research Area Editor of ACM Transactions on Computational Logic Editorial Board Member of Journal of Theory and Practice of Logic Programming January 7, 2016 CIDSE Chitta Baral Professor Department of Computer Science and Engineering Ira A. Fulton School of Engineering , Arizona State University Brickyard Suite 572, 699 S. Mill Avenue Tempe , AZ 85281-8809, U.S.A. phone: 480-727-6047 (voice) 480-965-2751 (fax) E-mail: chitta-aat-asu-period-edu Short Bio. Ph.D in Computer Science (1991), University of Maryland. Research lab and other affiliations at ASU and beyond AI Group TAG Office Hours Fall 2018: T, Th 2-3 PM. Brickyard 572 Teaching Research and Publications Funding Students CV Honors Other Selected Recent Teaching [Spring 2003: CSE 591 D : Computational Molecular Biology ]; [Fall 2003: CSE 591 : Application of AI to Molecular Biology ]; [Spring 2004: CSE 355 : Introduction to theoretical Computer Science ]; [Fall 2004: CSE 591 : Autonomous agents: theory and practice ]; [Spring 2005: CSE 571 : Artificial Intelligence ]; [Fall 2005 : I was on Sabbatical]; [Spring 2006: [CSE 494/598/CBS 598: Application of AI to molecular biology ]; [Fall 2006: CSE/BMI/CBS 591 Computational Pharmacogenomics ]; [Spring 2007: 35714 CSE 571 Artificial Intelligence ]; [Fall 2007: 85005 CSE 591-1002 Autonomous Agents ]; [Spring 2008: CSE 355-1001 : Introduction to theoretical Computer Science ]; [Fall 2008: CSE 576: Introduction to Natural Language Processing (co-taught with Dr. Greg Aist) ]; [Spring 2009: CSE 591: Multi-agent Systems]; [Fall 2009: CSE 101 - Introduction to Computer Science & Engineering; CSE 591 - Analysis of Biomolecular networks and their components: Dr. Joerg Hakenberg was the main instructor]; [Spring 2010: CSE 576 - Topics in Natural Language Processing]; [Fall 2010: CSE 471/598 Intro. To Artificial Intelligence; ASU 101 The ASU Experience]; [Spring 2011: CSE 591: Autonomous Agents]; [Fall 2011: CSE 471/598 Intro. To Artificial Intelligence]; [Spring 2012: CSE 230; CSE 591: Special Topics on Natural Language Understanding (NLU) and Question Answering (QA) ]; [Fall 2012,2013,2014, Spring 2016,Spring 2017: CSE 471/598 Intro. To Artificial Intelligence]; [Spring 2013,2014: CSE 591 Natural Language Understanding (NLU) and Question Answering (QA)]; [Spring 2013,2014, 2015, 2017: CSE 355 Introduction to theoretical Computer Science]; [Fall 2015,2016,Spring 2018: CSE 576 Topics in NLP]; [Spring 2016: CSE 691 Distributed and Logical Semantics of NL.] Fall 2018: CSE 576 Topics in NLP (T Th 4:30-5:45 PM) Past teaching [ Top ] [ Teaching ] [ Research and Publications ] [ Funding ] [ Students ] [ CV ] [ Honors ] [ Other ] Current Research Interests and Selected Publications Graduate Text Book cum Research Monograph: Knowledge representation, reasoning and declarative problem solving , Cambridge University Press, 2003. Slides based on the book. (pdf) (ps) [ Top ] [ Book ] [ NLU ] [ Multi-agent ] [ KRinVision ] [ Human-Robot-C ] [ Machine-Learning ] [ QA,Frames ] [ Bioinformatics ] [ Logic+Prob ] [ Goal Languages ] [ Action-Change ] [ Answer Set ] [ LP-Nonmon ] [ KBs ] Natural Language Understanding and Knowledge Representation and Reasoning Arindam Mitra, Peter Clark, Oyvind Tafjord and Chitta Baral. Declarative Question Answering over Knowledge Bases containing Natural Language Text with Answer Set Programming . AAAI 2019. Arindam Mitra and Chitta Baral. Learning to use formulas to solve simple arithmetic problems. ACL 2016. Arindam Mitra and Chitta Baral. Addressing a Question Answering Challenge by Combining Statistical Methods with Inductive Rule Learning and Reasoning . AAAI 2016. Chitta Baral and Tran Cao Son. Add Another Blue Stack of the Same Height!: ASP Based Planning and Plan Failure Analysis. LPNMR 2015. (old longer version) Arindam Mitra and Chitta Baral. Learning to automatically solve logic grid puzzles. EMNLP 2015. Arpit Sharma, Somak Aditya, Vo Nguyen and Chitta Baral. Towards Addressing the Winograd Schema Challenge - Building and Using a Semantic Parser and a Knowledge Hunting Module. IJCAI 2015. Vo Nguyen, Arindam Mitra and Chitta Baral. The NL2KR platform for building Natural Language Translation Systems. ACL 2015. Somak Aditya, Chitta Baral, Nguyen Ha Vo, Joohyung Lee, Jieping Ye, Zaw Naung, Barry Lumpkin, Jenny Hastings, Richard Scherl, Dawn M. Sweet, Daniela Inclezan. Recognizing Social Constructs from Textual Conversation. HLT-NAACL 2015. Arpit Sharma, Nguyen H. Vo, Somak Aditya and Chitta Baral. Identifying Various Kinds of Event Mentions in K-Parser Output The 3rd Workshop on EVENTS: Definition, Detection, Coreference, and Representation. HLT-NAACL 2015. Arpit Sharma, Nguyen Vo, Shruti Gaur and Chitta Baral. An Approach to Solve Winograd Schema Challenge Using Automatically Extracted Commonsense Knowledge. Commonsense 2015. AAAI Spring Symposium 2015. Shruti Gaur, Nguyen H. Vo, Kazuaki Kashihara, and Chitta Baral. Translating Simple Legal Text to Formal Representations. In New Frontiers in Artificial Intelligence (JSAI-isAI 2014 Workshops, LENLS, JURISIN, and GABA, Kanagawa, Japan, November 23-24, 2014, Revised Selected Papers). Edited by: Tsuyoshi Murata, Koji Mineshima, Daisuke Bekki. 2015. The NL2KR System . ( A short user manual type paper. ) Chitta Baral, Juraj Dzifcak, Marcos Alvarez Gonzalez, Aaron Gottesman. Typed answer set programming lambda calculus theories and correctness of inverse lambda algorithms with respect to them. ( appendix ) TPLP 12(4-5): 775-791 (2012) Chitta Baral, Marcos Alvarez Gonzalez, Aaron Gottesman. The Inverse Lambda Calculus Algorithm for Typed First Order Logic Lambda Calculus and Its Application to Translating English to FOL. Correct Reasoning 2012: 40-56 Chitta Baral and Juraj Dizfcak. Solving puzzles described in English by automated translation to answer set programming and learning how to do that translation . AAAI Fall Symposium on Advances in Cognitive Systems. 2011. A revised but shorter version at KR 2012. Chitta Baral. Lessons from Efforts to Automatically Translate English to Knowledge Representation Languages . Abstract of invited presentation at LPNMR 2011. Chitta Baral, Juraj Dzifcak, Marcos Gonzalez and Jiayu Zhou. Using Inverse Lambda and Generalization to Translate English to Formal Languages . Proceedings of International Conference on Computational Semantics (IWCS) 2011 , Oxford. Jiayu Zhou, Jieping Ye, Juraj Dzifcak, Chitta Baral. Using Sparse Parameter Estimation for Semantic Parsing . Unpublished Draft. November 2010. Juraj Dzifcak, Matthias Scheutz, Chitta Baral and Paul Schermerhorn (2009) What to do and how to do it: Translating natural language directives into temporal and dynamic logic representation for goal management and action execution. Proceedings of the 2009 IEEE international conference on robotics and automation (ICRA '09) Chitta Baral, Juraj Dzifcak, Tran Cao Son. Using Answer Set Programming and Lambda Calculus to Characterize Natural Language Sentences with Normatives and Exceptions. AAAI 2008, pages 818-823. Chitta Baral, Juraj Dzifcak, Luis Tari: Towards Overcoming the Knowledge Acquisition Bottleneck in Answer Set Prolog Applications: Embracing Natural Language Inputs. ICLP 2007: 1-21 ( invited paper ) ( presentation) [ Top ] [ Book ] [ NLU ] [ Multi-agent ] [ KRinVision ] [ Human-Robot-C ] [ Machine-Learning ] [ QA,Frames ] [ Bioinformatics ] [ Logic+Prob ] [ Goal Languages ] [ Action-Change ] [ Answer Set ] [ LP-Nonmon ] [ KBs ] Multi-agent reasoning about actions and change; Impact on the real world, and on agents' knowledge and beliefs Chitta Baral, Thomas Bolander, Hans van Ditmarsch, and Sheila McIlraith. Epistemic Planning . Report from Dagstuhl Seminar 17231, June 5-9, 2017 . Chitta Baral, Gregory Gelfond, Enrico Pontelli, Tran Cao Son. An Action Language for Multi-Agent Domains: Foundations . http://arxiv.org/ version. Chitta Baral, Gregory Gelfond, Enrico Pontelli and Tran Cao Son. Multi-Agent Action Modeling through Action Sequences and Perspective Fluents . CommonSense 2015, AAAI Spring Symposium 2015. Tran Cao Son, Enrico Pontelli, Chitta Baral and Gregory Gelfond. Exploring the KD45n property of a Kripke model after the execution of an action sequence . AAAI 2015. Tran Cao Son, Enrico Pontelli, Chitta Baral and Gregory Gelfond. Finitary S5-Theories . In JELIA 2014. pages 239-252. Chitta Baral, Gregory Gelfond, Enrico Pontelli and Tran Cao Son. Reasoning About the Beliefs of Agents in Multi-Agent Domains in the Presence of State Constraints: The Action Language mAL. CLIMA 2013. Chitta Baral, Gregory Gelfond, Enrico Pontelli and Tran Cao Son. An Action Language for Reasoning about Beliefs in Multi-Agent Domains. NMR 2012. Enrico Pontelli, Tran Cao Son, Chitta Baral and Gregory Gelfond. Answer Set Programming and Planning with Knowledge and World-Altering Actions in Multiple Agent Domains. Correct Reasoning 2012: 509-526 Chitta Baral and Gregory Gelfond. On Representing Actions in Multi-Agent Domains . Lecture Notes in Computer Science, 2011, Volume 6565/2011, 213-232, Springer , 2011. Chitta Baral, Gregory Gelfond, Tran Cao Son, Enrico Pontelli: Using answer set programming to model multi-agent scenarios involving agents' knowledge about other's knowledge . AAMAS 2010: 259-266. Chitta Baral, Gregory Gelfond, Enrico Pontelli, Tran Cao Son: Logic programming for finding models in the logics of knowledge and its applications: A case study. Theory and Practice of Logic Programming. 10(4-6): 675-690 (2010) Chitta Baral. Reasoning about Actions and Change: From Single Agent Actions to Multi-Agent Actions (Extended Abstract) . Invited Talk at KR 2010 Chitta Baral, Tran Cao Son, and Enrico Pontelli. Reasoning about Multi-agent Domains Using Action Language C: A Preliminary Study. NRAC 2009 version . CLIMA 2010 version . [ Top ] [ Book ] [ NLU ] [ Multi-agent ] [ KRinVision ] [ Human-Robot-C ] [ Machine-Learning ] [ QA,Frames ] [ Bioinformatics ] [ Logic+Prob ] [ Goal Languages ] [ Action-Change ] [ Answer Set ] [ LP-Nonmon ] [ KBs ] Knowledge representation and Reasoning in Computer Vision and Image Understanding; Visual common-sense for scene understanding; Visual Question Understanding; Semantic representation of images/videos Somak Aditya, Rudra Saha, Yezhou Yang and Chitta Baral. Spatial Knowledge Distillation to aid Visual Reasoning. WACV 2019. Somak Aditya, Yezhou Yang, Chitta Baral. Explicit Reasoning over End-to-End Neural Architectures for Visual Question Answering. AAAI 2018. Somak Aditya, Yezhou Yang, Chitta Baral and Yiannis Aloimonos. Combining Knowledge and Reasoning through Probabilistic Soft Logic for Image Puzzle Solving. UAI 2018. Somak Aditya, Yezhou Yang, Chitta Baral, Yiannis Aloimonos and Cornelia Fermuller. Image Understanding using Vision and Reasoning through Scene Description Graph. Computer Vision and Image Understanding Journal. (Accepted December 2017) Somak Aditya, Yezhou Yang, Chitta Baral and Yiannis Aloimonos. Answering Image Riddles using Vision and Reasoning through Probabilistic Soft Logic. . Arxiv version. 2016. Website with additional information on this work. Somak Aditya, Chitta Baral, Yezhou Yang, Yiannnis Aloimonos and Cornelia Fermuller. DeepIU: An architecture for image understanding. Advances in Cognitive Systems. 2016. Somak Aditya, Yezhou Yang, Chitta Baral, Cornelia Fermuller, Yiannis Aloimonos. From Images to Sentences through Scene Description Graphs using Commonsense Reasoning and Knowledge . Arxiv version. Somak Aditya, Yiannis Aloimonos, Chitta Baral, Cornelia Fermuller and Yezhou Yang. Visual common-sense for scene understanding using perception, semantic parsing and reasoning. Common-sense 2015, AAAI 2015 Spring Symposium. (Appenidix with code.) [ Top ] [ Book ] [ NLU ] [ Multi-agent ] [ KRinVision ] [ Human-Robot-C ] [ Machine-Learning ] [ QA,Frames ] [ Bioinformatics ] [ Logic+Prob ] [ Goal Languages ] [ Action-Change ] [ Answer Set ] [ LP-Nonmon ] [ KBs ] Human Robot Collaboration; Human Robot Communication; Human Robot Interaction Simon Stepputtis, Chitta Baral, Heni Ben Amor. Speech Enhanced Imitation Learning and Task Abstraction for Human-Robot Interaction . IROS 2017 Workshop on SBLI (Synergies between learning and interaction.) Chitta Baral, Barry Lumpkin, and Matthias Scheutz. A High Level Language for Human-Robot Interaction . Advances in Cognitive Systems, 2017. Juraj Dzifcak, Matthias Scheutz, Chitta Baral and Paul Schermerhorn (2009) What to do and how to do it: Translating natural language directives into temporal and dynamic logic representation for goal management and action execution. Proceedings of the 2009 IEEE international conference on robotics and automation (ICRA '09) Related Work [ Goal Languages ] : Specifying goals: Rich goal languages and planning with respect to such goals. Related Work [ Action-Change ] - Action and Change: Representation, Reasoning and Mental Simulation : [ Sensing actions ] [ Probabilistic effects ] [ Planning and Control ] [ Agents; Robots ] [ Diagnosis ] [ Action Languages ] [ Modalities: Intention ] [ Workflow ] [ Top ] [ Book ] [ NLU ] [ Multi-agent ] [ KRinVision ] [ Human-Robot-C ] [ Machine-Learning ] [ QA,Frames ] [ Bioinformatics ] [ Logic+Prob ] [ Goal Languages ] [ Action-Change ] [ Answer Set ] [ LP-Nonmon ] [ KBs ] Machine Learning; Rule Learning; Inductive Logic Programming Arindam Mitra and Chitta Baral. Incremental and Iterative Learning of Answer Set Programs from Mutually Distinct Examples. TPLP 18(3-4): 623-637 (2018). [ Top ] [ Book ] [ NLU ] [ Multi-agent ] [ KRinVision ] [ Human-Robot-C ] [ Machine-Learning ] [ QA,Frames ] [ Bioinformatics ] [ Logic+Prob ] [ Goal Languages ] [ Action-Change ] [ Answer Set ] [ LP-Nonmon ] [ KBs ] Knowledge representation, Frame based reasoning, and Question Answering (especially Why/How questions) involving deep reasoning Chitta Baral, Nguyen Ha Vo. Event-Object Reasoning with Curated Knowledge Bases: Deriving Missing Information. LPNMR 2013. Chitta Baral, Nguyen Ha Vo, Shanshan Liang. Answering Why and How questions with respect to a frame-based knowledge base: a preliminary report. ICLP (Technical Communications) 2012: 26-36 Chitta Baral, Shanshan Liang. From Knowledge Represented in Frame-Based Languages to Declarative Representation and Reasoning via ASP. KR 2012 Chitta Baral, Shanshan Liang and Vo Nguyen. Towards deep reasoning with respect to natural language text in scientific domains . Proceedings of Deep Knowledge Representation Challenge Workshop , 2011. M. Balduccini, C. Baral and Y. Lierler. Knowledge representation and Question Answering. In Handbook of Knowledge Representation, editors Vladimir Lifschitz, Frank van Harmelen and Bruce Porter, 2008. Luis Tari and Chitta Baral. Using AnsProlog with Link Grammar and WordNet for QA with deep reasoning. Proc. of AAAI'05 workshop on Inference for Textual Question Answering. Chita Baral, Gregory Gelfond, Michael Gelfond and Richard Scherl. Textual Inference by combining multiple logic programming paradigms. Proc. of AAAI'05 workshop on Inference for Textual Question Answering. [ Top ] [ Book ] [ NLU ] [ Multi-agent ] [ KRinVision ] [ Human-Robot-C ] [ Machine-Learning ] [ QA,Frames ] [ Bioinformatics ] [ Logic+Prob ] [ Goal Languages ] [ Action-Change ] [ Answer Set ] [ LP-Nonmon ] [ KBs ] Application of Artificial Intelligence to Molecular Biology: Interaction Extraction, Collaborative Curation, Reasoning about bio-molecular pathways, Discovering Drug-Drug interactions, and Learning interactions from data. Automatic Extraction and Curation. [ Automatic Extraction ] [ Knowledge Capture ] [ Pathway Modeling ] [ Learning;Causality ] [ Other ] Joerg Hakenberg, Dmitry Voronov, Nguyen Ha Vo, Shanshan Liang, Saadat Anwar, Barry Lumpkin, Robert Leaman, Luis Tari, Chitta Baral. A SNPshot of PubMed to associate genetic variants with drugs, diseases, and adverse reactions. Journal of Biomedical Informatics 45(5): 842-850 (2012) Luis Tari, Phan Huy Tu, Joerg Hakenberg, Yi Chen, Tran Cao Son, Graciela Gonzalez, Chitta Baral. Incremental Information Extraction Using Relational Databases. IEEE Trans. Knowl. Data Eng. 24(1): 86-99 (2012). Electronically published: vol. 22, issue 99, Oct 28 2010 Joerg Hakenberg, Illes Solt, Domonkos Tikk, Nguyen Ha Vo, Luis Tari, Quang Long Nguyen, Chitta Baral, Ulf Leser. Molecular Event Extraction from Link Grammar Parse Trees in the BioNLP'09 Shared Task. Computational Intelligence 27(4): 665-680 (2011) Luis Tari, Phan Huy Tu, Joerg Hakenberg, Yi Chen, Tran Cao Son, Graciela Gonzalez, Chitta Baral: GenerIE: Information extraction using database queries . ICDE 2010: 1121-1124. J. Hakenberg, Robert Leaman, Nguyen Ha Vo, Siddhartha Jonnalagadda, Ryan Sullivan, Christopher Miller, Luis Tari, Chitta Baral, Graciela Gonzalez: Efficient Extraction of Protein-Protein Interactions from Full-Text Articles. IEEE/ACM Trans. Comput. Biology Bioinformatics. 7(3): 481-494 (2010) CBioC :: Annotate while you read: a short blurb on CBioC in June 23rd, 2006 issue of Science Magazine . Lian Yu, Syed Toufeeq Ahmed, Graciela Gonzalez, Brandon Logsdon, Mutsumi Nakamura, Shawn Nikkila, Kalpesh Shah, Luis Tari, Ryan Wendt, Amanda Zeigler and Chitta Baral. Genomic information retrieval through seletive extraction and tagging by the ASU-BioAI Group. Proceedings of the 2005 TREC Genomics track. Prabhdeep Singh, Ravi Bhimavarapu, Hasan Davulcu, Chitta Baral, Seungchan Kim, Huan Liu, Mike Bittner and I.V. Ramakrishnan. BioLog: A Browser Based Collaboration and Resource Navigation Assistant for BioMedical Researchers. Proc. of the 2nd International Workshop on Data Integration in the Life S ciences (DILS'05), San Diego, July 20-22, 2005. 19-30. Chitta Baral, Hasan Davulcu, Mutsumi Nakamura, Prabhdeep Singh, Lian Yu and Luis Tari. Collaborative Curation of Data from Bio-medical Texts and Abstracts and its integration. Proc. of the 2nd International Workshop on Data Integration in the Life Sciences (DILS'05), San Diego, July 2022, 2005. 309-312. Syed Toufeeq Ahmed, Deepthi Chidambaram, Hasan Davulcu and Chitta Baral. IntEx: A Syntactic Role Driven Protein-Protein Interaction Extractor for Bio-Medical Text. Proc. of BioLINK SIG: Linking Literature, Information and Knowledge for Biology, a Joint Meeting of The ISMB BioLINK Special Interest Group on Text Data Mining and The ACL Workshop on Linking Biological Literature, Ontologies and Databases: Mining Biological Semantics (Biolink'2005), Detroit, Michigan, June 24, 2005. Knowledge Capture through Automatic Extraction and Reasoning [ Automatic Extraction ] [ Knowledge Capture ] [ Pathway Modeling ] [ Learning;Causality ] [ Other ] Luis Tari, Nguyen Vo, Shanshan Liang, Jagruti Patel, Chitta Baral, James Cai. Identifying novel drug indications through automated reasoning . To appear in PLoS ONE. L. Tari, S. Anwar, S. Liang, J. Cai and C. Baral. Discovering drug-drug interactions: a text mining and reasoning approach based on properties of drug metabolism. Bioinformatics 26(18):2010. (special issue of ECCB 2010.) Luis Tari, Saadat Anwar, Shanshan Liang, Joerg Hakenberg, Chitta Baral. Synthesis of Pharmacokinetic Pathways through Knowledge Acquisition and Automated Reasoning. Pacific Symposium on Biocomputing 15:465-476(2010) Luis Tari, Joerg Hakenberg, Graciela Gonzalez, Chitta Baral. Querying parse tree database of medline text to synthesize user-specific biomolecular networks. In PSB '09. Graciela Gonzalez, Juan C. Uribe, Luis Tari, Colleen Brophy, Chitta Baral. Mining Gene-Disease Relationships from Biomedical Literature: Weighting Protein-protein Interactions and Connectivity. Pacific Symposium on Biocomputing 12:28-39(2007) Modeling Pathways and Networks and Reasoning [ Automatic Extraction ] [ Knowledge Capture ] [ Pathway Modeling ] [ Learning;Causality ] [ Other ] Deep QA - A Deep Reasoning Question Answering System. Saadat Anwar and Chitta Baral. Pathway Specification and Comparative Queries: A High Level Language with Petri Net Semantics. in AAAI 2014. Saadat Anwar. Representing, reasoning and answering questions about biological pathways - various applications Ph.D thesis. Saadat Anwar, Chitta Baral, Katsumi Inoue. Encoding Petri Nets in Answer Set Programming for Simulation Based Reasoning. ICLP/TPLP Supplement 2013. Saadat Anwar, Chitta Baral, Katsumi Inoue. Encoding Higher Level Extensions of Petri Nets in Answer Set Programming. LPNMR 2013. N. Tran, C. Baral. (2007) Hypothesizing and reasoning about signaling networks. Journal of Applied Logic (In press). N. Tran, C. Baral. (2007) Reasoning about non-immediate triggers in biochemical networks. Annals of Mathematics and Artificial Intelligence. Nam Tran, Chitta Baral, Vinay Nagaraj and Lokesh Joshi. Knowledge-Based Framework for Hypothesis Formation in Biochemical Networks: application to the p53 network. Proc. of the European Conference on Computational Biology (ECCB'2005), Bioinforamtics, 21: ii213-ii219. (A preliminary version in the DILS'05 workshop. ) Nam Tran, Chitta Baral and Carron Shankland. Issues in reasoning about cellular interactions: necessity of event ordering knowledge. Proc. of AAAI'05, 676-681. Carron Shankland, Nam Tran, Chitta Baral, and Walter Kolch. Reasoning about the ERK signal transduction pathway using BioSigNet-RR. In Computational Methods in Systems Biology (CMSB'05) 2005. 3-5 April 2005, Edinburgh, Scotland. C. Baral, K. Chancellor, Nam Tran, Nhan Tran, A. Joy, and M. Berens. A knowledge based approach for representing and reasoning about cell signaling networks. ( Abstract ) In ISMB/ECCB'04. N. Tran and C. Baral. Reasoning about Triggered Actions in AnsProlog and its Application to Molecular Interactions in Cells. ( Abstract ) In KR'2004. Learning Interactions from Data; Causal Learning [ Automatic Extraction ] [ Knowledge Capture ] [ Pathway Modeling ] [ Learning;Causality ] [ Other ] Xin Zhang, Seungchan Kim, Tie Wang and Chitta Baral. Joint learning of logic relationships for studying protein function using phylogenetic profiles and the Rosetta Stone method. In IEEE Transactions on Signal Processing. Xin Zhang, Chitta Baral, Seungchan Kim. An algorithm to learn causal connection between genes from steady state data: simulation and its application to melanoma dataset. Proc. of 10th Conference on Artificial Intelligence in Medicine (AIME 05) 23 - 27 July 2005 Aberdeen, Scotland. pages 524-534. Other [ Automatic Extraction ] [ Knowledge Capture ] [ Pathway Modeling ] [ Learning;Causality ] [ Other ] L. Tari, C. Baral and Partha Dasgupta. Understanding the global properties of functionally related gene networks using the gene ontology. In Proceedings of Pacific Symposium on Biocomputing 2005. (PSB'05), pages 209-220. [ Top ] [ Book ] [ NLU ] [ Multi-agent ] [ KRinVision ] [ Human-Robot-C ] [ Machine-Learning ] [ QA,Frames ] [ Bioinformatics ] [ Logic+Prob ] [ Goal Languages ] [ Action-Change ] [ Answer Set ] [ LP-Nonmon ] [ KBs ] Combining logical and probabilistic knowledge representation Chitta Baral. Logic programming and uncertainty . Invited paper. Fifth International Conference on Sacalable Uncertainty Management. 2011. Chitta Baral, Michael Gelfond and Nelson Rushton. Probabilistic Reasoning with Answer Sets. In Theory and Practice of Logic Programming. 2009 Chitta Baral, Matt Hunsaker. Using the Probabilistic Logic Programming Language P-log for Causal and Counterfactual Reasoning and Non-Naive Conditioning. In Proc. of IJCAI 2007. (abstract) pages 243-249. C. Baral, M. Gelfond and N. Rushton. Probabilistic reasoning with answer sets. ( Abstract ) In Proceedings of LPNMR7, 2004. ( A slightly revised version. ) See also the papers here . [ Top ] [ Book ] [ NLU ] [ Multi-agent ] [ KRinVision ] [ Human-Robot-C ] [ Machine-Learning ] [ QA,Frames ] [ Bioinformatics ] [ Logic+Prob ] [ Goal Languages ] [ Action-Change ] [ Answer Set ] [ LP-Nonmon ] [ KBs ] Specifying goals: Rich goal languages and planning with respect to such goals. Tran Son, Enrico Pontelli and Chitta Baral. A Non-Monotonic Goal Specification Language for Planning with Preferences. In Proc. of 6th Multidisciplinary workshop on advances in preference handling. Chitta Baral, Jicheng Zhao. Non-monotonic Temporal Logics that Facilitate Elaboration Tolerant Revision of Goals. AAAI 2008, pages 406-411. C. Baral, T. Eiter, M. Bjaereland and M. Nakamura. Maintenance goals of agents in a dynamic environment: formulation and policy construction. AI Journal. 172 (12-13), pages 1429-1469. 2008. Chitta Baral, Jicheng Zhao. Non-monotonic Temporal Logics for Goal Specification. In Proc. of IJCAI 2007. (abstract) pages 236-242. Chitta Baral and Jicheng Zhao. Goal specification, non-determinism and quantifying over policies. In AAAI'06. Chitta Baral, Thomas Eiter and Jicheng Zhao. Using SAT and Logic Programming to Design Polynomial-Time Algorithms for Planning in Non-deterministic Domains. Proc. of AAAI'05, 575-583. C. Baral and Jicheng Zhao. Goal specification in presence of non-deterministic actions. ( Abstract ), In proceedings of ECAI'04, pages 273-277 . C. Baral and T. Eiter. A Polynomial time algorithm for constructing k-maintainable policies. ( Abstract ), ( Slides of a talk at UT Austin ) In ICAPS'2004. C. Baral, V. Kreinovich and R. Trejo. Computational Complexity of Planning with Temporal Goals. ( Abstract ) Version in IJCAI 2001 , 509--514. Extended version 1. (S. Sarkar is a co-author in this version.) A further revised and extended version. (S. Sarkar, X. Zhang, and N. Tran are additional co-authors in this version.) 5/31/03 Mutsumi Nakamura, Chitta Baral and Marcus Bjareland. Maintainability: a weaker stabilizability like notion for high level control. ( Abstract. ) In AAAI 2000, pgs 62-67. (postscript). An extended version. [ Top ] [ Book ] [ NLU ] [ Multi-agent ] [ KRinVision ] [ Human-Robot-C ] [ Machine-Learning ] [ QA,Frames ] [ Bioinformatics ] [ Logic+Prob ] [ Goal Languages ] [ Action-Change ] [ Answer Set ] [ LP-Nonmon ] [ KBs ] Action and Change: Representation, Reasoning and Mental Simulation Sensing Actions and Knowledge Change/Updates: Reasoning and Planning with them. [ Sensing actions ] [ Probabilistic effects ] [ Planning and Control ] [ Agents; Robots ] [ Diagnosis ] [ Action Languages ] [ Modalities: Intention ] [ Workflow ] Phan Huy Tu, Tran Cao Son, and Chitta Baral. Reasoning and Planning with Sensing Actions, Incomplete Information, and Static Causal Laws using Answer Set Programming. Theory and Practice of Logic Programming. Volume 7, Issue 4, July 2007. Tuan Le, Chitta Baral, Son Tran. A State-Based Regression Formulation for Domains with Sensing Actions and Incomplete Information. In Logical Methods in Computer Science (Electronic journal) Volume 2, Issue 4, 2006 . (no page numbers) C. Baral and Y. Zhang. Knowledge updates: Semantics and complexity issues. Artificial Intelligence, 164(1-2): 209-243 (2005) Le-Chi Tuan, C. Baral, Xin Zhang, Tran Son. Regression With Respect to Sensing Actions and Partial States. ( Abstract ) In AAAI'04. T. Son, P. Huy and C. Baral. Planning with Sensing Actions and Incomplete Information using Logic Programming. ( Abstract ) In Proceedings of LPNMR7, 2004. C. Baral and Y. Zhang. On the Semantics of Knowledge Update. ( Abstract ) IJCAI 2001, 97--102. C. Baral, V. Kreinovich, and R. Trejo. Computational complexity of planning and approximate planning in presence of incompleteness. Artificial Intelligence Journal, 122(1-2),241-267, 2000. ( Abstract. ) Initial version appeared in IJCAI 99, pgs 948-953. Version in Artificial Intelligence Journal (postscript) C. Baral and T. Son. Formalizing sensing actions -- a transition function based approach. Artificial Intelligence Journal, 125 (1-2), pgs 19-91, Jan 2001. ( Abstract. ) Version in Artificial Intelligence Journal (postscript) , Technical report with all the proofs. A subset of it that appears in the International logic programming Symposium (ILPS), pgs 387-401, 1997. (postscript) Actions with probabilistic effects [ Sensing actions ] [ Probabilistic effects ] [ Planning and Control ] [ Agents; Robots ] [ Diagnosis ] [ Action Languages ] [ Modalities: Intention ] [ Workflow ] Chitta Baral, Matt Hunsaker. Using the Probabilistic Logic Programming Language P-log for Causal and Counterfactual Reasoning and Non-Naive Conditioning. In Proc. of IJCAI 2007. (abstract) pages 243-249. Nam Tran and Chitta Baral. Encoding probabilistic causal models in probabilistic action language PAL. ( Abstract ) In AAAI'04. C. Baral, Nam Tran and L. Tuan. Reasoning about actions in a probabilistic setting. ( Abstract ) Version in AAAI'02, pages 507-512. Raul Trejo, Vladik Kreinovich and Chitta Baral. Towards feasible approach to plan checking under probabilistic uncertainty. ( Abstract. ) In AAAI 2000, pgs 545-550. (postscript) Planning and Control; Use of domain knowledge; Cognitive Robotics [ Sensing actions ] [ Probabilistic effects ] [ Planning and Control ] [ Agents; Robots ] [ Diagnosis ] [ Action Languages ] [ Modalities: Intention ] [ Workflow ] Tran Cao Son, Chitta Baral, Sheila McIlraith, and Nam Tran. Domain-Dependent Knowledge in Answer Set Planning. ACM Transactions on Computational Logic. Volume 7, Number 4 (October 2006 ), pages 1-70. Tran Son, Chitta Baral, and Le-Chi Tuan. Adding Time and Intervals to Procedural and Hierarchical Control Specifications. ( Abstract ) In AAAI'04. C. Baral and Tran Son. Extending ConGolog to allow partial ordering. ( Abstract. ) In Proceedings of ATAL (Agent theories, architectures and Languages) 99, pgs 188-204. (Awarded one of the two best paper awards.) C. Baral, L. Tuan, R. Trejo and V. Kreinovich. Computational Complexity of Planning Based on Partial Information About The System's Present and Past States. ( Abstract. ) In First International Conference on Computational Logic (KR track) CL'2000, pgs 882-896. (postscript) Agent control and Robotics [ Sensing actions ] [ Probabilistic effects ] [ Planning and Control ] [ Agents; Robots ] [ Diagnosis ] [ Action Languages ] [ Modalities: Intention ] [ Workflow ] C. Baral and M. Gelfond. Reasoning agents in dynamic domains. ( Abstract. ) In ``Logic based AI'' (postscript). Editor J. Minker. Kluwer Academic Publishers. Pages 257-279, 2000. C. Baral and T. Son. Relating theories of actions and reactive control In ETAI (Electronic transactions of AI), 2(3-4):211-271, 1998. ( Abstract. ) The initial version. (postscript) Shortened and revised version (postscript) The ETAI version. C. Baral, L. Floriano, A. Hardesty, D. Morales, M. Nogueira, and T.C. Son. From theory to practice: the UTEP robot in AAAI 96 and 97 robot contests. ( Abstract. ) In Proc. of the second international conference on automated agents (Agents 98), 32-38. (in postscript) Diagnosis [ Sensing actions ] [ Probabilistic effects ] [ Planning and Control ] [ Agents; Robots ] [ Diagnosis ] [ Action Languages ] [ Modalities: Intention ] [ Workflow ] Chitta Baral, Sheila McIlraith, and Tran Cao Son. Formulating diagnostic problem solving using an action language with narratives and sensing. ( Abstract. ) In KR 2000, pgs 311-322. (postscript) Action Languages and reasoning about actions [ Sensing actions ] [ Probabilistic effects ] [ Planning and Control ] [ Agents; Robots ] [ Diagnosis ] [ Action Languages ] [ Modalities: Intention ] [ Workflow ] Chitta Baral, Juraj Dzifcak, Nam Tran and Jicheng Zhao. Reasoning about Actions in Biophysical Systems . AAAI 2006 Workshop on Cognitive Robotics. C. Baral and M. Gelfond. Logic Programming and Reasoning about actions. In Handbook of Temporal reasoning in AI. Michael Fisher, Dov Gabbay, Lluis Vila editor. Elsevier Publications, 2005. pages 389-428. C. Baral, T. Son and L. Tuan. A transition function based characterization of actions with delayed and continuous effects. ( Abstract ) In Proc. of KR'02, pgs 291-302. C. Baral, A. Gabaldon and A. Provetti. Formalizing narratives using nested circumscription. In Artificial Intelligence journal, 104/1-2, pages 107-164, Sept 1998. ( Abstract. ) Version that appears in the Artificial Intelligence journal. The AAAI 96 version, pgs 652-657. Chitta Baral. Embedding revision programs in logic programming situation calculus. In Journal of Logic Programming, vol 30(1), pgs 83-97, Jan 1997. ( Abstract. ) The version in Journal of Logic Programming. (postscript) Chitta Baral and Jorge Lobo. Defeasible specifications in action theories. ( Abstract. ) IJCAI 97, pgs 1441-1446. (postscript) C. Baral, M. Gelfond, and A. Provetti. Representing Actions: Laws, Observation and Hypothesis. In Journal of Logic Programming, Vol 31(1-3), 201-243, 1997. ( Abstract. ) The version in Journal of Logic Programming. (postscript) C. Baral, and M. Gelfond. Reasoning about Effects of Concurrent Actions. In Journal of Logic Programming, vol 31(1-3), pgs 85-117, 1997. ( Abstract. ) The version in Journal of Logic Programming. (postscript) (A thoroughly revised version of an IJCAI 93 paper.) Reasoning about actions: non-deterministic effects, constraints, and qualification. Chitta Baral. ( Abstract. ) IJCAI 95, pgs 2017-2023. (postscript) Other Modalities: Intentions [ Sensing actions ] [ Probabilistic effects ] [ Planning and Control ] [ Agents; Robots ] [ Diagnosis ] [ Action Languages ] [ Modalities: Intention ] [ Workflow ] Chitta Baral and Michael Gelfond. Reasoning about intended actions. Proc. of AAAI'05, 689-694. Other applications: Workflows, active databases [ Sensing actions ] [ Probabilistic effects ] [ Planning and Control ] [ Agents; Robots ] [ Diagnosis ] [ Action Languages ] [ Modalities: Intention ] [ Workflow ] Goce Trajcevski, Chitta Baral and Jorge Lobo. Formalizing (and Reasoning About) the Specifications of Workflows. ( Abstract. ) In Proceedings of the Fifth IFCIS International conference on Cooperative Information Systems (CoopIS'2000). Awarded one of the best paper awards. M. Nakamura and C. Baral. Invariance, Maintenance and other declarative objectives of triggers -- a formal characterization of active databases. ( Abstract. ) In First International Conference on Computational Logic (DOOD track) CL'2000, pgs 1210-1224. (postscript) C. Baral, and J. Lobo. Formalizing Active Databases. ( Abstract. ) The version in LIDS (Logic in Databases) 96, pgs 175-195, LNCS 1154. (postscript) [ Top ] [ Book ] [ NLU ] [ Multi-agent ] [ KRinVision ] [ Human-Robot-C ] [ Machine-Learning ] [ QA,Frames ] [ Bioinformatics ] [ Logic+Prob ] [ Goal Languages ] [ Action-Change ] [ Answer Set ] [ LP-Nonmon ] [ KBs ] Answer Set Programming; Logic Programming; Rules based languages Enrico Pontelli, Chitta Baral and Tran Son. A Framework for Composition and Interoperation of Rules in the Semantic Web. In Proceedings of Rules and Rule Markup languages for the Semantic Web. (RuleML 2006). pages 39-50. ( extended version with additional co-author Omar Elkhatib ) Chitta Baral, Juraj Dzifcak and Hiro Takahashi. Macros, Macro calls and use of ensembles in modular answer set programming. In ICLP'06. C. Baral and M. Gelfond. Logic Programming and Reasoning about actions. In Handbook of Temporal reasoning in AI. Michael Fisher, Dov Gabbay, Lluis Vila editor. Elsevier Publications, 2005. pages 389-428. Guray Alsac and Chitta Baral. Reasoning in description logics using declarative logic programming. ( Abstract ) ASU Technical Report 2001-02. (Some of it appears as chapter 6.6.7 in my book ) Chitta Baral and Cenk Uyan. Declarative specification and solution of combinatorial auctions using logic programming ( Abstract ) In Proc. of LPNMR'01, pgs 186-199. Chitta Baral, Michael Gelfond and Olga Kosheleva. Expanding queries to incomplete databases by interpolating general logic programs. In Journal of Logic programming, vol 35, pgs 195-230, 1998. ( Abstract. ) The version in Journal of Logic programming. (postscript) Chitta Baral and Michael Gelfond. Logic programming and knowledge representation. In Journal of Logic Programming, 19,20:73-148, 1994. ( Abstract. ) The version in Journal of Logic Programming. (postscript) [ Top ] [ Book ] [ NLU ] [ Multi-agent ] [ KRinVision ] [ Human-Robot-C ] [ Machine-Learning ] [ QA,Frames ] [ Bioinformatics ] [ Logic+Prob ] [ Goal Languages ] [ Action-Change ] [ Answer Set ] [ LP-Nonmon ] [ KBs ] Non-monotonic reasoning; Abductive reasoning; Semantics of negation in Logic Programming C. Baral. Abductive reasoning through filtering. Artificial Intelligence Journal, 120 (1), 1-28, 2000. ( Abstract. ) Version in Artificial Intelligence Journal. (postscript) C. Baral, A. Gabaldon and A. Provetti. Value minimization in nested circumscription. In Artificial Intelligence journal, 102/2, 163-186, July 1998. ( Abstract. ) The version in Artificial Intelligence journal. The initial KR 96 version, pgs 474-481. C. Baral. Varying Selection Function to Relate Conditional Logics and Preferential Models , Fundamenta Informaticae, 21-4: 307-320, 1994. Chitta Baral and V. S. Subrahmanian. Duality between alternative semantics of logic programs and nonmonotonic formalisms. In Journal of automated reasoning, 10:399-420, 1993. ( Abstract. ) The version in Journal of automated reasoning. (postscript) Chitta Baral and V. S. Subrahmanian. Stable and extension class theory for logic programs and default logics. In Journal of automated reasoning, 8: 345-366, 1992. ( Abstract. ) The version in Journal of automated reasoning. (postscript) [ Top ] [ Book ] [ NLU ] [ Multi-agent ] [ KRinVision ] [ Human-Robot-C ] [ Machine-Learning ] [ QA,Frames ] [ Bioinformatics ] [ Logic+Prob ] [ Goal Languages ] [ Action-Change ] [ Answer Set ] [ LP-Nonmon ] [ KBs ] Multiple Knowledge Bases : Combining, Merging, Communicating C. Baral, S. Kraus, J. Minker and V. S. Subrahmanian. Combining Default Logic Databases , International Journal of Intelligent and Cooperative Information Systems, 3,3: 319-348, 1994. C. Baral, S. Kraus, J. Minker and V. S. Subrahmanian. Combining Knowledge Bases Consisting of First Order Theories , Computational Intelligence, 8, 1, (1992), 45-71. C. Baral, J. Minker and S. Kraus. Combining Multiple Knowledge Bases , IEEE Transactions on Knowledge and Data Engineering, June 1991, volume 3, number 2, pages 208-221. Chitta Baral, Sarit Kraus and Jack Minker. Communicating between multiple knowledge base systems with different languages. In Working Conference on Cooperating Knowledge Based Systems, pages 121--124, England, October 1990. [p1] , [p2] , [p3] , [p4] , [p5] , [p6] , [p7] , [p8] , [p9] , [p10] , [p11] , [p12] , [p13] , [p14] , [p15] , [p16] , [p17] , [p18] . [ Top ] [ Book ] [ NLU ] [ Multi-agent ] [ KRinVision ] [ Human-Robot-C ] [ Machine-Learning ] [ QA,Frames ] [ Bioinformatics ] [ Logic+Prob ] [ Goal Languages ] [ Action-Change ] [ Answer Set ] [ LP-Nonmon ] [ KBs ] Other lists of my papers. Selected research results and papers (1992-2005) An older list of my reports, publications -- by research areas My Google Scholar listing ; DBLP listing ; Computer Science Bibliography Listing ; and citeseer citations . An old home page. Lecture notes and tutorial slides . Research Genealogy starting from thesis advisor . [ Top ] [ Teaching ] [ Research and Publications ] [ Funding ] [ Students ] [ CV ] [ Honors ] [ Other ] A Sample of Current and Recent Sponsored Projects A systematic approach to reasoning about actions and change. NSF CAREER award. 1995-2001 Reasoning and planning with sensing actions and their applications. NSF. 4/1/00 -- 3/31/05. Agent development and control verification using dual characterizations. NASA 01-04. Answering complex questions and performing deep reasoning in advance question answering systems , AQUAINT program , ARDA 04-06. Integrating knowledge based reasoning, common sense reasoning and natural language semantics in a QA system, DTO/IARPA. 10/1/06-12/31/07. Generalized Text Extraction form Life Science and Biomedicine Abstracts: empowering the CBioC Mass Collaborative Curation and Reasoning Systems. Science Foundation of Arizona, 03/01/07 - 08/28/08. Developing a state of the art biological interaction extraction system. Science Foundation Arizona, 06/01/08 - 05/31/09. Knowledge representation, reasoning, and problem solving in a cellular domain, NSF 8/1/04-7/31/09 Integrating Machine Learning and Knowledge Representation for Discovery of Social Goals of groups. IARPA. 08/24/09 10/23/11. EAGER: Enabling collaboration in the creation of scientific databases from the published literature. NSF. 09/01/09 - 08/31/12 Human-Robot Interaction in Littoral and Urban Military Domains: Human-Unmanned Systems Interactions. MURI award from ONR with Indiana University as the lead, 7/1/2007-12/30/2012. Natural Language Interaction With Systems and Agents: Acquiring Knowledge, Understanding Text, Reasoning and Responding. ONR. 01/01/2013 - 12/31/2015. Postdoc Best Practices in Computer Science and Engineering. CRA/NSF. $892,350 4/1/2014 - 6/30/2018 Cognitive Processing of Combined Visual and Textual Inputs for Hard and Explainable QA. (coPI- Yezhou Yang) NSF $499,999 8/01/2018 - 7/31/2021 CAREER: Visual Recognition with Knowledge. PI-Yezhou Yang. My role: Mentor and Senior Researcher. NSF $550,000 8/15/2018 - 7/31/2023. Cognitive Human Enhancements For Cyber Reasoning Systems (CHECRS). PI - Fish Wang. DARPA 11/29/2018 - 5/29/2022. [ Top ] [ Teaching ] [ Research and Publications ] [ Funding ] [ Students ] [ CV ] [ Honors ] [ Other ] Student Co-authors with thesis/project Tran Cao Son (Ph.D 2000), Professor, New Mexico State University. Selected Publications Graciela Gonzalez , (Ph.D 2000), Associate Professor, University of Pennsylvania. Selected Publications. Raul Trejo, (Ph.D 2001; Co-advised by Vladik Kreinovich), Assistant Professor, ITESM, Mexico, Selected Publications Le-Chi Tuan, (Ph.D Dec 2004), Selected Publications Nam Tran, (Ph.D, October 2006) Selected Publications , GE Research Xin Zhang (Ph.D, July 2008), Cisco. Selected Publications Luis Ng Tari (Ph.D, August 2009), GE Research. Selected Publications Jicheng Zhao (Ph.D, 2011), Baidu. Selected Publications Bob Leaman (Ph.D, December 2012, main advisor - Graciela Gonzalez), NIH. Selected Publications Saadat Anwar (Ph.D, May 2014). Selected Publications Nguyen, Vo (Ph.D, August 2015). Selected Publications Gregory Gelfond (Ph.D, May 2018). Selected Publications Somak Aditya (Ph.D, June 2018; Co-advised by Yezhou Yang). Arpit Sharma (Finished M.S in 2014, Continuing Ph.D) Kazuaki Kashihara (Continuing Ph.D) Arindam Mitra (Continuing Ph.D) Shanshan Liang (MS 2012). Selected Publications Arron Hardesty (MS 2000), Selected Publications David Morales (MS 1998), Selected Publications Amarendra Nandigam (MS 1998), Selected Publications Alfredo Gabaldon , (MS 1996, Ph.D at U of Toronto 2004, Currently researcher at CMU, Silicon Valley Campus) Selected Publications [ Top ] [ Teaching ] [ Research and Publications ] [ Funding ] [ Students ] [ CV ] [ Honors ] [ Other ] Curriculum Vitae (pdf) Honors, Awards, and Professional Service President, KR Inc. May 2016 - October 2018. Associate Editor, Artificial Intelligence , 2015-present. Area Editor (Non-monotonic reasoning and answer sets), ACM Transactions on Computational Logic , 2005-present. Editorial Advisor, Theory and Practice of Logic Programming , a Cambridge University Press Journal, 2005-present Associate Editor, 2007-2010 Journal of AI Research . Invited Participant, NSF Workshop on Research Challenges and Opportunities in Knowledge Representation . Invited Speaker/Panelist, NIH workshop on Natural language processing: State of the Art, Future Directions and Applications for Enhancing Clinical Decision-Making. Invited Speaker, LPNMR 2011. Invited Speaker, KR 2010 . (slides) Invited Speaker, ICLP 2007. Invited Speaker, AAAI'05. (slides) Best paper award, CooPIS 2000. Best paper award, ATAL (Agents, theories and languages) 99. Research Initiation Award, National Science Foundation, 1992-1995 CAREER Award, National Science Foundation, 1995-2001 3rd place finish in the AAAI 96 robot contest for office navigation. 1st place finish in the AAAI 97 robot contest for home vacuuming. [ Top ] [ Teaching ] [ Research and Publications ] [ Funding ] [ Students ] [ CV ] [ Honors ] [ Other ] Editorials and Op-eds in Indian Express: with references January 20th 2007: Looking for the lost keys under the street lamp: Why central universities in bac kward/tribal district clusters make sense? December 21st 2006: Will the HRD ministry and planning commission take steps to correct the existing regional imbalance in higher education opportunities? Nov 17th 2006: The Gold that keeps Orissa poor. July 11th and July 1st 2006: Inequity and favouritism in India's Human Resource Developement(HRD) budget allocations http://www.indianexpress.com/story/7592.html http://www.indianexpress.com/story/8266.html Articles in other Indian Newspapers Jan 23, 2012, The Telegraph: Unknown History: Few people know about Buddhist sites in Jajpur district Other Interests Member, Director's Advisory Board, Indian Institute of Technology, Bhubaneswar . Member, Higher Education Task Force, Orissa , India. ( Thoughts and documents ) Blog/Compilation on Education in Orissa and India. Blog/Compilation on infrastructure development of Orissa. Tweets on Odisha ; Facebook page on Odisha ; Ornet archive . Travel pictures: [Yellowstone, May27-29 2005] [ Top ] [ Teaching ] [ Research and Publications ] [ Funding ] [ Students ] [ CV ] [ Honors ] [ Other ] Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Chitta Baral Home Directory and Research Directory Faculty Baral, Chitta Professor Chitta Baralhas been at ASU since 1999.Barals main research interests are threefold: (i) developing language constructs and surrounding building block results for representing knowledge and reasoning with it, (ii) developing a theory of actions and their impact on an environment and using it in autonomous agent design, planning and diagnosis, (iii) Using (i) and (ii) in modeling cell behavior and reasoning with it to explain observations and develop plans of action so as to alter pathways that could suggest therapeutic procedures. chitta@asu.edu 480-727-6047 BYENG 572 http://www.public.asu.edu/~cbaral/ Education Ph.D., University of Maryland, 1991 Master of Science Computer Science, University of Maryland, 1990 Bachelor of Technology with Honors Computer Science and Engineering, Indian Institute of Technology, 1987 Research interests Knowledge representation, temporal logics, logic programming, dynamic systems, text extraction, question answering, natural language semantics, bioinformatics Honors and awards NSF CAREER Award, 1995 Member, senior program committee, AAAI 2002 and 2004 Best paper awards at CoopIS 2000 and ATAL 1999 Team adviser of robot teams that placed 1st (1997) and 3rd (1996) in AAAI robot contests Key activities Associate Editor of Journal of AI Research Area Editor of ACM Transactions on Computational Logic Editorial Board Member of Journal of Theory and Practice of Logic Programming January 7, 2016 CIDSE CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4268.txt b/src/data/compiled_bios/4268.txt new file mode 100644 index 0000000000..8b1b5b6a20 --- /dev/null +++ b/src/data/compiled_bios/4268.txt @@ -0,0 +1 @@ +Rida Bazzi Associate Professor Rida Bazzi joined ASU in 1996. He was an assistant professor at Florida International University in the 1995-1996 academic year and prior to that he was a senior consultant at I-Cube, a startup company in Cambridge, Massachusetts. bazzi@asu.edu 480-965-2796 BYENG 430 Education Ph.D., Computer Science, Georgia Institute of Technology, 1994 M.Sc., Computer Science, Georgia Institute of Technology, 1994 B.E.. Computer and Communications Engineering, American University of Beirut, 1989 Research interests Computer security, reliability, fault tolerance, distributed computing Honors and awards NSF CAREER award 2000 Key activities Co-chair HotSwup 2011 General chair PODC 2008 Steering committee PODC 2008, 2007 Committee member ICDCN 2011, SSS 2010, ICDCS 2008, PODC 2010, 2009, 2005, 2000, DISC 2001 March 4, 2015 CIDSE Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Rida Bazzi Home Directory and Research Directory Faculty Bazzi, Rida Associate Professor Rida Bazzi joined ASU in 1996. He was an assistant professor at Florida International University in the 1995-1996 academic year and prior to that he was a senior consultant at I-Cube, a startup company in Cambridge, Massachusetts. bazzi@asu.edu 480-965-2796 BYENG 430 Education Ph.D., Computer Science , Georgia Institute of Technology, 1994 M.Sc., Computer Science, Georgia Institute of Technology, 1994 B.E.. Computer and Communications Engineering, American University of Beirut, 1989 Research interests Computer security, reliability, fault tolerance, distributed computing Honors and awards NSF CAREER award 2000 Key activities Co-chair HotSwup 2011 General chair PODC 2008 Steering committee PODC 2008, 2007 Committee member ICDCN 2011, SSS 2010, ICDCS 2008, PODC 2010, 2009, 2005, 2000, DISC 2001 March 4, 2015 CIDSE CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4269.txt b/src/data/compiled_bios/4269.txt new file mode 100644 index 0000000000..fa4feba9bc --- /dev/null +++ b/src/data/compiled_bios/4269.txt @@ -0,0 +1 @@ +Heni Ben Amor Heni Ben Amor, an assistant professor, was previously a research scientist at Georgia Techs Institute for Robotics and Intelligent Machines, where he led a project to improve robots for future applications in industrial settings, especially manufacturing. Prior to moving to Georgia Tech, Ben Amor worked with Jan Peters at the Technical University Darmstadt as a postdoctoral scholar. Ben Amors research topics focus on artificial intelligence, machine learning, human-robot interaction, robot vision, and automatic motor skill acquisition. He received the highly competitive Daimler-and-Benz Fellowship as well as several best paper awards at major robotics and AI conferences. He also serves on the program committee of various AI and robotics conferences, including AAAI, IJCAI, IROS, and ICRA. hbenamor@asu.edu 480-965-2253 Centerpoint 203-07 Interactive Robotics Lab Education Ph.D., Robotics, Technical University Freiberg, 2010 Research interests AI, robotics, machine learning, motor skill acquisition, human-robot interaction, virtual reality Honors and awards Daimler-and-Benz Awards for Professors and Postdocs (2012), Acceptance rate: 1.25% Bernhard-v-Cotta Best Dissertation Award (2011) Finalist for Best Dissertation in Computer Science Award/Germany, (2010) TU Freiberg Scientific Excellence Award (2010) Leisler-Kiep Award (2009) IEEE ICRA 2015 Best Paper Award Finalist (2015) IEEE Humanoids 2014 Best Paper Award Finalist (2014) IEEE ROMAN 2014 Kazuo Tanie Award Finalist (2014) IEEE ROMAN 2009 Best Paper Award (2009) ACM CASA Best Paper Award (2008) IEEE Virtual Reality Honorable Mention (2007) June 15, 2018 Erik Wirtanen Menu Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Innovation Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Thunderbird Skysong Research Park Washington D.C. China Directory Search home Home People Research Publications Lab Openings Code Videos Contact Select Page Sparse Latent Space Policy Search Kevin presented our new paper Sparse Latent Space Policy Search on the AAAI-16 conference. Complementary Material Find out more about our research Machine Learning Using reinforcement learning, in particular policy search, as a basis, we introduced various methods for skill acquisition in humanoid robots. Human-Robot Interaction We introduced new representations such as Interaction Primitives and Correlation-based Interaction Meshes to enhance HRI. Grasping and Manipulation Our research focuses on the application of machine learning and imitation learning techniques to allow robots precise and goal-oriented manipulation. Robot Autonomy We are investigating new methodologies that allow robots to autonomously explore their environment and change their goal and objectives. General News Dr. Ben Amor receives the Fulton Best Teacher Award Jul 9, 2018 Dr. Ben Amor has been selected to receive a Fulton Schools of Engineering Best Teacher Award Top 5% for the academic year of 2017-2018. Each year, students in the Ira A. Fulton Schools of Engineering submit nominations and teaching evaluations. This information is reviewed by our Quality of Instruction faculty committee, with final selections made based on input by the directors of the six schools under Fulton Schools of Engineeringand the Dean of Fulton Schools of Engineering. Dr. Ben Amor receives Outstanding Assistant Professor Award Jul 9, 2018 Dr. Ben Amor receives the Fulton Outstanding Assistant Professor award at the Fulton Schools of Engineering at Arizona State University. He is recognized for his dedication to research,education and outreach at ASU. More information at: Article Dr. Ben Amor receives NSF CAREER Award Jul 9, 2018 The lab director of the Interactive Robotics Lab, Dr. Heni Ben Amor received the prestigious the National Science Foundation Faculty Early Career Development (CAREER). The NSF CAREER award ismost prestigious awards in support of early-career faculty who have the potential to serve as academic role models. Dr. Ben Amor received the award for his seminal work on human robot interaction. More information can be found under: ASU NOW Rise of the Robots American Caf February 20, 2018 Mar 4, 2018 View We are part of an NPR interview , aired February 20th on American Cafe (voanews.com). The 5 Most Technologically Advanced Robots (For Their Time) Aug 10, 2017 View Heni Ben Amor, assistant professor at Arizona State University, where he leads the ASU Interactive Robotics Laboratory, says some of the most important robots contributing the greatest advancements to the robotics field may not have the big-name recognition of their fictional cousins. But, he adds, they have been instrumental in moving the industry forward. (Nancy Giges, Independent writer for ASME) The full article can be found here GPUs for Deep Learning and Embedded Technologies Workshop @ ASU May 9, 2016 View We are organizing a joint workshop on GPUs for Deep Learning and Embedded Technologies with Nvidia! GPUs, Deep learning and Embedded Systems are a rapidly growing segment of artificial intelligence. They are increasingly used to deliver near-human level accuracy for image classification, voice recognition, natural language processing, sentiment analysis, recommendation engines, and more. Applications areas include facial recognition, scene detection, advanced medical and pharmaceutical research, and autonomous, self-driving vehicles. Our workshop will introduce students into Deep Learning on GPUs, more details here: http://interactive-robotics.engineering.asu.edu/nvidia-asu/ Lab News Interaction Primitives library released Nov 14, 2017 View We released our interaction primitives library that was presented at CoRL2017 . We have a new paper accepted to CoRL 2017 Oct 16, 2017 View We have a new paper accepted to CoRL 2017 . Bayesian Interaction Primitives: A SLAM Approach to Human-Robot Interaction introduces a fully Bayesian formulation of Interaction Primitives which establishes a conceptual link between human-robot interaction and simultaneous localization and mapping. C-Turtle: The landmine detecting robot turtle Aug 10, 2017 View BBC released a video of our C-Turtles. The video can be found here Landmine-clearing Pi-powered C-Turtle Aug 10, 2017 View In an effort to create a robot that can teach itself to navigate different terrains, scientists at Arizona State University have built C-Turtle, a Raspberry Pi-powered autonomous cardboard robot with turtle flippers. This is excellent news for people who live in areas with landmines: C-Turtle is a great alternative to current landmine-clearing robots, since it is much cheaper, and much easier to assemble. (By Janina Ander ) The full article can be found here Intention projection featured at the Institution of Mechanical Engineers Jun 11, 2017 View The work of our students Ramsundar and Yash are featured at the Institution of Mechanical Engineers. Our [] lab has created an augmented-reality approach, where the robot uses a projector to highlight objects its about to reach for, or to illuminate the route its going to take. The environment becomes a canvas for the robot to communicate its intent to the human partner (Amor) []. (Amit Katwala, imeche.org ) The full article can be found here New article ASU Robotics turns to nature for inspiration about our C-TURTLE at 3TV / CBS 5 Jun 6, 2017 View Your browser does not support HTML5 video. Video by azfamily.com ( KPHO Broadcasting Corporation ) ASU Robotics students have developed a robot that mimics a sea turtle as part of a research project looking at ways to integrate computer science, biology and engineering. The team wanted to come up with the best solution on how to travel over sand. The students settled on a sea turtle as a great option. (azfamily.com) Full article here Two new papers on our robot turtle accepted May 25, 2017 View We have two new papers accepted to RSS and Living Machines 2017. The submission to RSS, From the Lab to the Desert: Fast Prototyping and Learning of Robot Locomotion , introduces a new methodology which combines quick prototyping and sample-efficient reinforcement learning in order to produce effective locomotion of a sea-turtle inspired robotic platform in a desert environment. The submission to Living Machines, Bio-inspired Robot Design Considering Load-bearing and Kinematic Ontogeny of Chelonioidea Sea Turtles , explores the effect of biologically-inspired fins on the locomotion of our sea-turtle robot. Search for: About the Lab This is the website of the Interactive Robotics Laboratory (Ben Amor - Lab) at Arizona State University. We focus on developing novel machine learning techniques that allow robots to physically interact with objects and humans in their environment. ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Heni Ben Amor Home Directory and Research Directory Faculty Ben Amor, Heni Heni Ben Amor, an assistant professor, was previously a research scientist at Georgia Techs Institute for Robotics and Intelligent Machines, where he led a project to improve robots for future applications in industrial settings, especially manufacturing. Prior to moving to Georgia Tech, Ben Amor worked with Jan Peters at the Technical University Darmstadt as a postdoctoral scholar. Ben Amors research topics focus on artificial intelligence, machine learning, human-robot interaction, robot vision, and automatic motor skill acquisition. He received the highly competitive Daimler-and-Benz Fellowship as well as several best paper awards at major robotics and AI conferences. He also serves on the program committee of various AI and robotics conferences, including AAAI, IJCAI, IROS, and ICRA. hbenamor@asu.edu 480-965-2253 Centerpoint 203-07 Interactive Robotics Lab Education Ph.D., Robotics, Technical University Freiberg, 2010 Research interests AI, robotics, machine learning, motor skill acquisition, human-robot interaction, virtual reality Honors and awards Daimler-and-Benz Awards for Professors and Postdocs (2012), Acceptance rate: 1.25% Bernhard-v-Cotta Best Dissertation Award (2011) Finalist for Best Dissertation in Computer Science Award/Germany, (2010) TU Freiberg Scientific Excellence Award (2010) Leisler-Kiep Award (2009) IEEE ICRA 2015 Best Paper Award Finalist (2015) IEEE Humanoids 2014 Best Paper Award Finalist (2014) IEEE ROMAN 2014 Kazuo Tanie Award Finalist (2014) IEEE ROMAN 2009 Best Paper Award (2009) ACM CASA Best Paper Award (2008) IEEE Virtual Reality Honorable Mention (2007) June 15, 2018 Erik Wirtanen CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/427.txt b/src/data/compiled_bios/427.txt new file mode 100644 index 0000000000..313c663336 --- /dev/null +++ b/src/data/compiled_bios/427.txt @@ -0,0 +1 @@ +Arvind Easwaran Associate Professor School of Computer Science and Engineering Research Group Publications Contact Information Some people see things others cannot, and they are right, and we call them creative geniuses. Some people see things others cannot, and they are wrong, and we call them mentally ill. - Nancy Andreasen Biographical Sketch Arvind Easwaran is an Associate Professor in the School of Computer Science and Engineering at Nanyang Technological University (NTU), Singapore. He received a PhD degree in Computer and Information Science from the University of Pennsylvania, USA, in 2008. Prior to joining NTU in 2013, he has been an Invited Research Scientist at the Polytechnic Institute of Porto, Portugal, between 2009 and 2010, and a Research & Development Scientist at Honeywell Aerospace, USA, between 2010 and 2012. He is a ACM Distinguished Speaker since 2018 and a Cluster Director in the Future Mobility Solutions research programme at the Energy Research Institute @ NTU. Teaching IE7010 Automated Vehicles: 2018. CE4057/CZ4057 Time-Critical Computing: 2018. CE2005/CZ2005 Operating Systems: 2016/17/18. CE7452 RTOS for Cyber-Physical Systems: 2015/16. CE4053/ES6153 Embedded Operating Systems: 2014/15/16. CE4051/ES6151 Embedded Systems Design: 2013/14/15. CE3003 Microcontroller based System Design: 2013. Research Cyber-Physical Systems (CPS) encompass systems in which the cyber world of computation and communication closely interacts with the physical world of sensors and actuators. These are highly networked and deeply embedded systems such as those found in modern day aircrafts, automotives, factories, medical devices, smart phones, electric grids, etc. From driver-less cars and air traffic management using sense and avoid, to plug-and-play operating rooms and smart electric grids that integrate traditional and renewable energy sources, intelligent automation of an enormous scale is finding its way into many of these systems. Arvind's current research interests are in the design of cyber-infrastructures for CPS, especially for systems with time-critical functionalities. His research themes can be broadly classified as follows: Real-Time Systems Model-based Design Methodologies Energy Management For further details, please visit CPS Research Group @ SCSE,NTU . Awards Best Paper Award: RTSS 2012. Best Session/Track Paper Award: DASC 2012. Best Student Paper Award: RTAS 2011. Most Viable Solution Award: PhD forum in RTSS 2007. Professional Activities Steering Committee IEEE International Conference on Cyber-Physical Systems, Networks and Applications (CPSNA), 2014-. Conference Chair, Editorial Board Conference/Journal/Book Role Year(s) IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA) Program Chair (Real-Time Systems) 2019 IEEE International Conference on Embedded Software and Systems (ICESS) Program co-Chair 2019 IEEE International Conference on Parallel and Distributed Systems (ICPADS) Track Chair (IoT and Cyber Physical System) 2018 IEEE Embedded Systems Letters, Special Issue on Real-Time Technologies in CPS Guest Editor 2018 IEEE International Symposium on Real-Time Computing (ISORC) General co-Chair 2018, 2019 Cyber-Physical Systems Week (CPSWeek) Publications co-Chair 2018 Springer Handbook of Real-Time Computing Section Editor 2020 Workshop on Mixed-Criticality Systems(WMC) Program co-Chair 2017 IEEE International Symposium on Real-Time Computing (ISORC) Program co-Chair 2017 International Real-Time Scheduling Open Problems Seminar (RTSOPS) Program co-Chair 2015, 2016 IEEE Real-Time and Embedded Technology and Applications Symposium Work-in-Progress Session (RTAS WiP) Program Chair 2015 IEEE International Conference on Cyber-Physical Systems, Networks and Applications (CPSNA) Program co-Chair 2014 IEEE International Symposium on Industrial Embedded Systems Work-in-Progress Session (SIES WiP) Program Chair 2013 International Workshop on Compositional Theory and Technology for Real-Time Embedded Systems (CRTS) Program co-Chair 2009 Conference Technical Program Committee Conference Year(s) International Conference on Real-Time Networks and Systems (RTNS) 2018 IEEE Real-Time Systems Symposium (RTSS) 2012, 2014, 2018 Euromicro Conference on Real-Time Systems (ECRTS) 2012, 2014, 2015 IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS) 2015, 2016, 2018 ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS) 2016, 2017, 2019 Design Automation and Test in Europe (DATE) 2014, 2015 ACM International Conference on Hybrid Systems: Computation and Control (HSCC) 2017 IEEE International Conference on Parallel and Distributed Systems (ICPADS) 2013 International Conference on Architecture of Computing Systems (ARCS) 2013 IEEE International Conference on Cyber-Physical Systems, Networks and Applications (CPSNA) 2012 IEEE International Conference on Embedded and Real-Time Computing Systems and Applications(RTCSA) 2010, 2017, 2018 Contact Information Mailing address : Nanyang Technological University, School of Computer Science and Engineering, N4-02a-32 Nanyang Avenue, Singapore 639798 Office : N4-02a-27a Email : arvinde@ntu.edu.sg Phone : +65-6790-4596 Fax : +65-6792-6559 diff --git a/src/data/compiled_bios/4270.txt b/src/data/compiled_bios/4270.txt new file mode 100644 index 0000000000..c44989dc66 --- /dev/null +++ b/src/data/compiled_bios/4270.txt @@ -0,0 +1 @@ +Nadya T. Bliss, Professor of Practice Director, Global Security Initiative Professor of Practice, Grad. Faculty, School of Computing, Informatics, and Decision Systems Engineering Senior Sustainability Scientist, Julie Ann Wrigley Global Institute of Sustainability Affiliate Faculty, School for the Future of Innovation in Society Nadya.Bliss@asu.edu (480)727-8313 Education PhD, Applied Mathematics for the Life and Social Sciences (Complex Adaptive SystemsScience), Arizona State University, May 2015 Graduate Course in Parallel Computing, MIT, Spring 2003 Master of Engineering, Computer Science, Cornell University, May 2002 Bachelor of Science, Computer Science, Cornell University, January 2002 Research Interests Forensic & Tactical Data Analysis Information & Sensor Fusion & Processing Graph Algorithms Data Representation Parallel Algorithms & Architectures Optimization & Co-design Approaches High Performance & Cloud Computing Big Data Analytics Visualization & Analyst Experience Defense and Intelligence Applications Complex Decision Making Transdisciplinary Research Climate Change and Security Defense/Development/Diplomacy Dr. Nadya T. Bliss is the Director of the Global Security Initiative (GSI) at Arizona State University. GSI is a pan-university, institute-level activity focused on addressing the hardest challenges in security. These challenges are often characterized by complex interdependencies and present conflicting objectives requiring multi-disciplinary research and cross-mission collaboration. GSI currently has approximately 170 faculty affiliates across 9 college-level units and is home to the Center for Cybersecurity and Digital Forensics (CDF), the Center for Human, Artificial Intelligence, and Robot Teaming (CHART), the Department of Homeland Security Center for Accelerating Operational Efficiency (CAOE), the Human Security Collaboratory, and the DARPA Working Group. GSI also serves as the Universitys interface to the Department of Defense, the Intelligence Community, and the Department of Homeland Security. Prior to taking on the GSI role, Dr. Bliss served as the Assistant Vice President, Research Strategy in the Office of Knowledge Enterprise Development. Dr. Bliss holds a Professor of Practice appointment (and is a member of Graduate Faculty) in the School of Computing, Informatics, and Decision Systems Engineering and a Senior Sustainability Scientist appointment in the Julie Ann Wrigley Global Institute of Sustainability. Dr. Bliss is also a Senior Fellow at New America. Before joining ASU in 2012, Dr. Bliss spent 10 years at MIT Lincoln Laboratory, most recently as the founding Group Leader of the Computing and Analytics Group. Under her leadership, the Groups research portfolio included a wide-range of programs funded by DARPA, IARPA, ONR, NGA, USAF, ASD(R&E), and other U.S. Government sponsors. In 2011, Dr. Bliss was awarded the inaugural MIT Lincoln Laboratory Early Career Technical Achievement award recognizing her work in parallel computing, computer architectures, and graph processing algorithms and her leadership in anomaly detection in graph-based data (presented annually to 2 employees under 35). She is the recipient of the R&D100 award (2011) for her work on PVTOL: Parallel Vector Tile Optimizing Library. She has also served on the DARPA (Defense Advanced Research Project Agency) ISAT (Information Science and Technology) advisory board where she co-chaired studies on Macro-Economics and Cyber Security and Science and Engineering of Functional Networks. Dr. Bliss received bachelor and master degrees in Computer Science from Cornell University, a PhD in Applied Mathematics for the Life and Social Sciences (Complex Adaptive Systems Science) from Arizona State University, and is a Senior Member of IEEE. In July 2017, Dr. Bliss started a 3-year term on the Computing Research Associations Computing Community Consortium (CCC) Council where she is also a member of the Cybersecurity Task Force. February 2, 2018 CIDSE Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Nadya T. Bliss, Professor of Practice Home Bliss, Nadya Director , Global Security Initiative Professor of Practice , Grad. Faculty, School of Computing, Informatics, and Decision Systems Engineering Senior Sustainability Scientist , Julie Ann Wrigley Global Institute of Sustainability Affiliate Faculty , School for the Future of Innovation in Society Nadya.Bliss@asu.edu (480)727-8313 Education PhD, Applied Mathematics for the Life and Social Sciences (Complex Adaptive SystemsScience), Arizona State University, May 2015 Graduate Course in Parallel Computing, MIT, Spring 2003 Master of Engineering, Computer Science, Cornell University, May 2002 Bachelor of Science, Computer Science, Cornell University, January 2002 Research Interests Forensic & Tactical Data Analysis Information & Sensor Fusion & Processing Graph Algorithms Data Representation Parallel Algorithms & Architectures Optimization & Co-design Approaches High Performance & Cloud Computing Big Data Analytics Visualization & Analyst Experience Defense and Intelligence Applications Complex Decision Making Transdisciplinary Research Climate Change and Security Defense/Development/Diplomacy Dr. Nadya T. Bliss is the Director of the Global Security Initiative (GSI) at Arizona State University. GSI is a pan-university, institute-level activity focused on addressing the hardest challenges in security. These challenges are often characterized by complex interdependencies and present conflicting objectives requiring multi-disciplinary research and cross-mission collaboration. GSI currently has approximately 170 faculty affiliates across 9 college-level units and is home to the Center for Cybersecurity and Digital Forensics (CDF), the Center for Human, Artificial Intelligence, and Robot Teaming (CHART), the Department of Homeland Security Center for Accelerating Operational Efficiency (CAOE), the Human Security Collaboratory, and the DARPA Working Group. GSI also serves as the Universitys interface to the Department of Defense, the Intelligence Community, and the Department of Homeland Security. Prior to taking on the GSI role, Dr. Bliss served as the Assistant Vice President, Research Strategy in the Office of Knowledge Enterprise Development. Dr. Bliss holds a Professor of Practice appointment (and is a member of Graduate Faculty) in the School of Computing, Informatics, and Decision Systems Engineering and a Senior Sustainability Scientist appointment in the Julie Ann Wrigley Global Institute of Sustainability. Dr. Bliss is also a Senior Fellow at New America. Before joining ASU in 2012, Dr. Bliss spent 10 years at MIT Lincoln Laboratory, most recently as the founding Group Leader of the Computing and Analytics Group. Under her leadership, the Groups research portfolio included a wide-range of programs funded by DARPA, IARPA, ONR, NGA, USAF, ASD(R&E), and other U.S. Government sponsors. In 2011, Dr. Bliss was awarded the inaugural MIT Lincoln Laboratory Early Career Technical Achievement award recognizing her work in parallel computing, computer architectures, and graph processing algorithms and her leadership in anomaly detection in graph-based data (presented annually to 2 employees under 35). She is the recipient of the R&D100 award (2011) for her work on PVTOL: Parallel Vector Tile Optimizing Library. She has also served on the DARPA (Defense Advanced Research Project Agency) ISAT (Information Science and Technology) advisory board where she co-chaired studies on Macro-Economics and Cyber Security and Science and Engineering of Functional Networks. Dr. Bliss received bachelor and master degrees in Computer Science from Cornell University, a PhD in Applied Mathematics for the Life and Social Sciences (Complex Adaptive Systems Science) from Arizona State University, and is a Senior Member of IEEE. In July 2017, Dr. Bliss started a 3-year term on the Computing Research Associations Computing Community Consortium (CCC) Council where she is also a member of the Cybersecurity Task Force. February 2, 2018 CIDSE CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4271.txt b/src/data/compiled_bios/4271.txt new file mode 100644 index 0000000000..48c9e239a7 --- /dev/null +++ b/src/data/compiled_bios/4271.txt @@ -0,0 +1 @@ +Chris Bryan cbryan16@asu.edu https://chrisbryan.github.io/ Education Ph.D., Computer Science,University of California, Davis, 2018 B.S., Computer Science University of Arkansas, 2008 Research Interests Information Visualization; Visual Analytics; Virtual Reality; Data Storytelling; Data Analysis; Explainable Machine Learning and Artificial Intelligence; Perception and Cognition; Human-Computer Interaction; Data Privacy and Security November 5, 2018 Ashley Stenerson Home Chris Bryan Assistant Professor School of Computing, Informatics, & Decision Systems Engineering Follow Arizona State University Email Twitter LinkedIn Instagram Google Scholar Under construction: Check back soon I am an assisstant professor at Arizona State University in the School of Computing, Informatics, & Decision Systems (CIDSE), joining fall 2018. I received my Ph.D. from the Department of Computer Science at the University of California, Davis under the direction of Dr. Kwan-Liu Ma . My primary research is in the areas of information visualization and human-computer interaction. Recruiting I am currently considering highly motivated PhD students interested in visualization and applied visual analytics research. Specific topics include: Virtual Reality (VR) Data Storytelling Data Analysis Explainable Machine Learning and Artificial Intelligence Perception and Cognition Human-Computer Interaction (HCI) Data Privacy and Security See my Policies for details about what it's like to work in my lab. Selected Projects GraphProtector InfoVis'18 Customized privacy preservation in graph networks using interactive data mining. Chart Constellations EuroVis'18 Handoff review and analysis of data stories via dimensionality reduction. MeetingVis PacificVis'18 Using NLP and topic modeling to automatically summarize group discussions. Navigable Videos MMSys'17 Directed VR for scientific storytelling using Google Cardboard HMDs. Synteny Explorer InfoVis`16 Active learning for evolutionary genomics using interactive visualization. TSIs InfoVis'16 Temporal Summary Images (TSIs) are a framework for creating storytelling charts from complex, multidimensional datasets. Recent News February 19 : Our CHI 2019 paper has officially been accepted: TalkTraces: Real-Time Capture and Visualization of Verbal Content in Meetings ( video link ). A fun project, and a kind of spiritual successor to MeetingVis. August 18 : Happy to announce Im now officially an assistant professor at ASU . Go Sun Devils! July 18 : Two papers I am a co-author on have been accepted at this years IEEE Vis conference, the top conference for visualization research. GraphProtector: A Visual Interface for Employing and Assessing Multiple Privacy Preserving Graph Algorithms (VAST tract) An Empirical Study on Perceptually Masking Privacy in Graph Visualizations (VizSec Symposium) April 18 : I presented our paper at EuroVis 2018 titled Chart Constellations: Effective Chart Summarization for Collaborative and MultiUser Analyses . March 18 : Our paper entitled MeetingVis: Visual Narratives to Assist in Recalling Meeting Context and Content won an honorable mention at PacificVis 2018 ! In addition, I presented in the storytelling contest the project North Korea: Real or Paper Tiger? . Sitemap Follow: Feed 2019 Chris Bryan. Powered by Jekyll & AcademicPages , a fork of Minimal Mistakes . Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Chris Bryan Home Directory and Research Directory Faculty Bryan, Chris cbryan16@asu.edu https://chrisbryan.github.io/ Education Ph.D., Computer Science,University of California, Davis, 2018 B.S., Computer Science University of Arkansas, 2008 Research Interests Information Visualization; Visual Analytics; Virtual Reality; Data Storytelling; Data Analysis; Explainable Machine Learning and Artificial Intelligence; Perception and Cognition; Human-Computer Interaction; Data Privacy and Security November 5, 2018 Ashley Stenerson CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4272.txt b/src/data/compiled_bios/4272.txt new file mode 100644 index 0000000000..c593364585 --- /dev/null +++ b/src/data/compiled_bios/4272.txt @@ -0,0 +1 @@ +Kevin Burger Lecturer Kevin Burger joined ASU in 2007. Before that he was a faculty member at Rockhurst University in Kansas City, Mo., for seven years, at Missouri Western State University in St. Joseph, Mo., for two years, and Pittsburg State University in Pittsburg, Kan., for two years. Prior to his teaching career he worked for nine years as a software engineer and system analyst at AlliedSignal Aerospace (now Honeywell), Garmin International, the University of Kansas Medical Center, and TouchNet Information Systems. burgerk@asu.edu 480-965-1493 BYENG 516 http://www.devlang.com/ Education M.S., Computer Science, University of Kansas, 1988 B.S., Computer Science and Mathematics, Pittsburg State University, 1986 Research interests Embedded systems, introductory programming, data structures and algorithms, computer architecture and organization, web development November 20, 2014 CIDSE Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Kevin Burger Home Directory and Research Directory Faculty Burger, Kevin Lecturer Kevin Burger joined ASU in 2007. Before that he was a faculty member at Rockhurst University in Kansas City, Mo., for seven years, at Missouri Western State University in St. Joseph, Mo., for two years, and Pittsburg State University in Pittsburg, Kan., for two years. Prior to his teaching career he worked for nine years as a software engineer and system analyst at AlliedSignal Aerospace (now Honeywell), Garmin International, the University of Kansas Medical Center, and TouchNet Information Systems. burgerk@asu.edu 480-965-1493 BYENG 516 http://www.devlang.com/ Education M.S., Computer Science, University of Kansas, 1988 B.S., Computer Science and Mathematics, Pittsburg State University, 1986 Research interests Embedded systems, introductory programming, data structures and algorithms, computer architecture and organization, web development November 20, 2014 CIDSE CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4273.txt b/src/data/compiled_bios/4273.txt new file mode 100644 index 0000000000..2ae1d575f5 --- /dev/null +++ b/src/data/compiled_bios/4273.txt @@ -0,0 +1 @@ +Debra Calliss Debra Calliss joined ASU in 1984 and rejoined in 2004. Calliss research focuses on computer science education, programming languages and software maintenance. She has taught many of the courses in the computer science curriculum that focus on program development, programming languages, data structures and algorithms and computer organization. debra.calliss@asu.edu 480-965-1727 BYENG 524 Education Ph.D. Computer Science, Arizona State University, 1991 Research interests Computer science in education, programming languages, software maintenance December 2, 2014 CIDSE Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Debra Calliss Home Directory and Research Directory Faculty Calliss, Debra Debra Calliss joined ASU in 1984 and rejoined in 2004. Calliss research focuses on computer science education, programming languages and software maintenance. She has taught many of the courses in the computer science curriculum that focus on program development, programming languages, data structures and algorithms and computer organization. debra.calliss@asu.edu 480-965-1727 BYENG 524 Education Ph.D. Computer Science, Arizona State University, 1991 Research interests Computer science in education, programming languages, software maintenance December 2, 2014 CIDSE CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4274.txt b/src/data/compiled_bios/4274.txt new file mode 100644 index 0000000000..f243f15281 --- /dev/null +++ b/src/data/compiled_bios/4274.txt @@ -0,0 +1 @@ +K. Seluk Candan K. Seluk Candan is a professor of computer science and engineering at Arizona State University and the director of ASUs Center for Assured and Scalable Data Engineering (CASCADE). His primary research interest is in the area of management and analysis of non-traditional, heterogeneous, and imprecise (such as multimedia, web, and scientific) data. He has published over 170 journal and peer-reviewed conference articles, one book, and 16 book chapters. He has 9 patents. Prof. Candan served as an associate editor of for the Very Large Databases (VLDB) journal and IEEE Transactions on Multimedia. He is currently in the editorial boards of the ACM Transactions on Database Systems, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Cloud Computing, and the Journal of Multimedia. He has served in the organization and program committees of various conferences. In 2006, he served as an organization committee member for SIGMOD06, the flagship database conference of the ACM. In 2008, he served as a PC Chair for another leading, flagship conference of the ACM, this time focusing on multimedia research (MM08). More recently, he served as a program committee group leader for ACM SIGMOD10. He also serves in the review board of the Proceedings of the VLDB Endowment (PVLDB). In 2011, he served as a general co-chair for the ACM MM11 conference. In 2012 he served as a general co-chair for ACM SIGMOD12. In 2015, he served as a general co-chair for the IEEE International Conference on Cloud Engineering (I2CE). He has successfully served as the PI or co-PI of numerous grants, including from the National Science Foundation, Air Force Office of Research, Army Research Office, Mellon Foundation, and HP Labs. He also served as a Visiting Research Scientist at NEC Laboratories America for over 10 years. He is a member of the Executive Committee of ACM SIGMOD and an ACM Distinguished Scientist. candan@asu.edu 480-965-2770 BYENG 588 aria.asu.edu/candan Education Ph.D., Computer Science,University of Maryland College Park, 1997 B.S., Computer Science,Bilkent University, 1993 Research interests Database systems, storage/querying/retrieval of multimedia and web data, heterogeneous information integration and retrieval, assistive technologies for information and data access, data clouds, ambient media systems Key activities Associate Editor, VLDB Associate Editor, Journal of Multimedia Publicity Chair-ACM SIGMOD 2006 PC Co-chair- ACM Multimedia 2008 Program Group Leader, ACM SIGMOD Conference 2010 Review Board member, the Proceedings of the VLDB Endowment (Journal track) 2008 2010 Program Co-Chair, Workshop on Information and Software as a Service (WISS) 2009 2010 PC Co-chair-ACM Int. Conference on Image & Video Retrieval (CIVR) 2010 January 25, 2017 CIDSE K. Selcuk Candan Professor of Computer Science and Engineering Home Research Teaching Service CV and Publications Curriculum Vitae (with pubs) Publications (DBLP) Publications (Google Scholar) (old website) Copyright 2018, K. Selcuk Candan About K. SelukCandan is a professor of computer science and engineering at Arizona State University and the director of ASUs Center for Assured and Scalable Data Engineering (CASCADE). His primary research interest is in the area of management and analysis of non-traditional, heterogeneous, and imprecise (such as multimedia, web, and scientific) data. He has published over 170 journal and peer-reviewed conference articles, one book, and 16 book chapters. He has 9 patents. Prof. Candan served as an associate editor of for the Very Large Databases (VLDB) journal and IEEE Transactions on Multimedia. He is currently in the editorial boards of the ACM Transactions on Database Systems, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Cloud Computing, and the Journal of Multimedia. He has served in the organization and program committees of various scientific conferences. In 2006, he served as an organization committee member for SIGMOD06, the flagship database conference of the ACM. In 2008, he served as a PC Chair for another leading, flagship conference of the ACM, this time focusing on multimedia research (MM08). More recently, he served as a program committee group leader for ACM SIGMOD10. He also serves in the review board of the Proceedings of the VLDB Endowment (PVLDB). In 2011, he served as a general co-chair for the ACM MM11 conference. In 2012 he served as a general co-chair for ACM SIGMOD12. In 2015, he served as a general co-chair for the IEEE International Conference on Cloud Engineering (I2CE). He has successfully served as the PI or co-PI of numerous grants, including from the National Science Foundation, Air Force Office of Research, Army Research Office, Mellon Foundation, and HP Labs. He also served as a Visiting Research Scientist at NEC Laboratories America for over 10 years. He is a member of the Executive Committee of ACM SIGMOD and an ACM Distinguished Scientist. Present 2009 Professor of Computer Science and Engineering School of Computing, Informatics, and Decision Systems Engineering, ASU Present 2016 Director ASU Center for Assured and Scalable Data Engineering (CASCADE) Present 1997 Research Lead/Director EmitLab, ASU Education PhD 1997 PhD in Computer Science University of Maryland at College Park B.S. 1993 BS in Computer Engineering and Information Sciences Bilkent University, Turkey Academic Positions Present 2009 Professor of Computer Science and Engineering School of Computing, Informatics, and Decision Systems Engineering, ASU Present 2015 Coordinator Big Data Systems Concentration (MS and MCS) 2009 2007 Associate Director Arts, Media, and Engineering Program, ASU 2009 2003 Associate Professor Department of Computer Science and Engineering, ASU 2003 1997 Assistant Professor Department of Computer Science and Engineering, ASU Affiliations Present 2018 Graduate Faculty and Scientific Board Modeling and Data Science PhD, U. Torino Present 2018 Affilate Faculty Center for Cybersecurity and Digital Forensics, ASU Present 2015 Affilate Faculty Center for Biodiversity Outcomes, ASU Present 2010 Senior Sustainability Scientist Global Institute of Sustainability, ASU Present 1997 Graduate Faculty Computer Science PhD (endorsed to chair) Present - Graduate Faculty Computer Engineering PhD (endorsed to chair in both Computer Systems and Electrical Eng.) Present - Graduate Faculty Media Arts and Sciences PhD Present 2015 Affilate Faculty Center for Biodiversity Outcomes, ASU Present 2010 Senior Sustainability Scientist Global Institute of Sustainability, ASU Awards and Recognitions (2010-Present) 2012 ACM Distinguished Scientist 2018-2019 Fulton Faculty Examplar 2018 Top 5% Faculty Award, Fulton Schools of Engineering 2015-2016 Fulton Faculty Examplar 2015 Fulton Best Teacher Award 2014 Top 5% Faculty Award, Fulton Schools of Engineering 2013 Fulton Best Teacher Award 2012 Top 5% Faculty Award, Fulton Schools of Engineering Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact K. Seluk Candan Home Directory and Research Directory Faculty Candan, K. Seluk K. Seluk Candan is a professor of computer science and engineering at Arizona State University and the director of ASUs Center for Assured and Scalable Data Engineering (CASCADE). His primary research interest is in the area of management and analysis of non-traditional, heterogeneous, and imprecise (such as multimedia, web, and scientific) data. He has published over 170 journal and peer-reviewed conference articles, one book, and 16 book chapters. He has 9 patents. Prof. Candan served as an associate editor of for the Very Large Databases (VLDB) journal and IEEE Transactions on Multimedia. He is currently in the editorial boards of the ACM Transactions on Database Systems, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Cloud Computing, and the Journal of Multimedia. He has served in the organization and program committees of various conferences. In 2006, he served as an organization committee member for SIGMOD06, the flagship database conference of the ACM. In 2008, he served as a PC Chair for another leading, flagship conference of the ACM, this time focusing on multimedia research (MM08). More recently, he served as a program committee group leader for ACM SIGMOD10. He also serves in the review board of the Proceedings of the VLDB Endowment (PVLDB). In 2011, he served as a general co-chair for the ACM MM11 conference. In 2012 he served as a general co-chair for ACM SIGMOD12. In 2015, he served as a general co-chair for the IEEE International Conference on Cloud Engineering (I2CE). He has successfully served as the PI or co-PI of numerous grants, including from the National Science Foundation, Air Force Office of Research, Army Research Office, Mellon Foundation, and HP Labs. He also served as a Visiting Research Scientist at NEC Laboratories America for over 10 years. He is a member of the Executive Committee of ACM SIGMOD and an ACM Distinguished Scientist. candan@asu.edu 480-965-2770 BYENG 588 aria.asu.edu/candan Education Ph.D., Computer Science,University of Maryland College Park, 1997 B.S., Computer Science,Bilkent University, 1993 Research interests Database systems, storage/querying/retrieval of multimedia and web data, heterogeneous information integration and retrieval, assistive technologies for information and data access, data clouds, ambient media systems Key activities Associate Editor, VLDB Associate Editor, Journal of Multimedia Publicity Chair-ACM SIGMOD 2006 PC Co-chair- ACM Multimedia 2008 Program Group Leader, ACM SIGMOD Conference 2010 Review Board member, the Proceedings of the VLDB Endowment (Journal track) 2008 2010 Program Co-Chair, Workshop on Information and Software as a Service (WISS) 2009 2010 PC Co-chair-ACM Int. Conference on Image & Video Retrieval (CIVR) 2010 January 25, 2017 CIDSE CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4275.txt b/src/data/compiled_bios/4275.txt new file mode 100644 index 0000000000..a387db4605 --- /dev/null +++ b/src/data/compiled_bios/4275.txt @@ -0,0 +1 @@ +Linda Chattin Principal Lecturer Linda Chattin was a lecturer from 1994-1999 in the Industrial Engineering department at the State University of New York and has been teaching here at Arizona State since 2000. She teaches undergraduate courses such as Introduction to Engineering Design, Statistics and Probability for Engineers, Discrete Operations Research and Economic Analysis for Engineers. Linda.Chattin@asu.edu 480-965-3811 BYENG 526 Education Ph.D., Industrial Engineering,State University of New York at Buffalo, 1994 M.S., Operations Research,University of Southern California, 1987 B.S., Industrial Engineering,State University of New York at Buffalo, 1984 Teaching interests Discrete optimization, stochastic processes and probabilistic modeling, emergency service location Honors and awards A. Alan B. Pritsker Outstanding IE Teacher Award, 2009, 2010, 2013 January 25, 2017 CIDSE Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Linda Chattin Home Directory and Research Directory Faculty Chattin, Linda Principal Lecturer Linda Chattin was a lecturer from 1994-1999 in the Industrial Engineering department at the State University of New York and has been teaching here at Arizona State since 2000. She teaches undergraduate courses such as Introduction to Engineering Design, Statistics and Probability for Engineers, Discrete Operations Research and Economic Analysis for Engineers. Linda.Chattin@asu.edu 480-965-3811 BYENG 526 Education Ph.D., Industrial Engineering,State University of New York at Buffalo, 1994 M.S., Operations Research,University of Southern California, 1987 B.S., Industrial Engineering,State University of New York at Buffalo, 1984 Teaching interests Discrete optimization, stochastic processes and probabilistic modeling, emergency service location Honors and awards A. Alan B. Pritsker Outstanding IE Teacher Award, 2009, 2010, 2013 January 25, 2017 CIDSE CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4276.txt b/src/data/compiled_bios/4276.txt new file mode 100644 index 0000000000..93e256d1f6 --- /dev/null +++ b/src/data/compiled_bios/4276.txt @@ -0,0 +1 @@ +Yinong Chen Yinong Chen joined ASU in 2001. From 1994 to 2000, he was a lecturer and senior lecturer in the School of Computer Science at the University of the Witwatersrand, Johannesburg, and was the founder and leader of the Research Program for Highly Dependable Systems there. He performed postdoctoral research at the University of Karlsruhe and at LAAS-CNRS in France. Chen has (co-) authored three textbooks, one research book and more than 100 research papers. Chens primary research interests are service-oriented computing, embedded systems, fault-tolerant computing, distributed systems, communication protocols and networks. yinong.chen@asu.edu 480-965-2769 BYENG 414 http://www.public.asu.edu/~ychen10/ Education Ph.D., Computer Science,University of Karlsruhe, Germany, 1993 M.S., Computer Science,Chongqing University, 1984 B.S., Software Engineering,Chongqing University, 1982 Research interests Service-oriented computing, embedded systems, fault-tolerant computing, distributed computing Honors and awards Teacher of the Year Award, (SCI), 2007-2008, 2008-2009 Key activities Summer Robotics Camp 2008, 2009, 2010 March 7, 2014 CIDSE Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Yinong Chen Home Directory and Research Directory Faculty Chen, Yinong Yinong Chen joined ASU in 2001. From 1994 to 2000, he was a lecturer and senior lecturer in the School of Computer Science at the University of the Witwatersrand, Johannesburg, and was the founder and leader of the Research Program for Highly Dependable Systems there. He performed postdoctoral research at the University of Karlsruhe and at LAAS-CNRS in France. Chen has (co-) authored three textbooks, one research book and more than 100 research papers. Chens primary research interests are service-oriented computing, embedded systems, fault-tolerant computing, distributed systems, communication protocols and networks. yinong.chen@asu.edu 480-965-2769 BYENG 414 http://www.public.asu.edu/~ychen10/ Education Ph.D., Computer Science,University of Karlsruhe, Germany, 1993 M.S., Computer Science,Chongqing University, 1984 B.S., Software Engineering,Chongqing University, 1982 Research interests Service-oriented computing, embedded systems, fault-tolerant computing, distributed computing Honors and awards Teacher of the Year Award, (SCI), 2007-2008, 2008-2009 Key activities Summer Robotics Camp 2008, 2009, 2010 March 7, 2014 CIDSE CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4277.txt b/src/data/compiled_bios/4277.txt new file mode 100644 index 0000000000..e0b6956e37 --- /dev/null +++ b/src/data/compiled_bios/4277.txt @@ -0,0 +1 @@ +Michael Clough, II Industrial Engineering Ph.D. Student Michael.Clough@asu.edu Education M.S., Industrial Engineering, Arizona State University, 2012 B.S.E., Industrial Engineering, Arizona State University, 2005 Research interests Revenue management, airline operations engineering, product portfolio analysis, econometrics, linear and non-linear optimization, optimal pricing policies LinkedIn linkedin.com/in/michaelcclough October 8, 2018 Erik Wirtanen Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Michael Clough, II Home Directory and Research Directory Ph.D. Students Clough, Michael Industrial Engineering Ph.D. Student Michael.Clough@asu.edu Education M.S., Industrial Engineering, Arizona State University, 2012 B.S.E., Industrial Engineering, Arizona State University, 2005 Research interests Revenue management, airline operations engineering, product portfolio analysis, econometrics, linear and non-linear optimization, optimal pricing policies LinkedIn linkedin.com/in/michaelcclough October 8, 2018 Erik Wirtanen CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4278.txt b/src/data/compiled_bios/4278.txt new file mode 100644 index 0000000000..adf1bfe65d --- /dev/null +++ b/src/data/compiled_bios/4278.txt @@ -0,0 +1 @@ +Charles Colbourn Professor Charles Colbourn earned a Ph.D. in Computer Science at the University of Toronto in 1980. He held faculty positions at the University of Saskatchewan (Canada), the University of Waterloo, and the University of Vermont. During this time he was Chair of the Department of Combinatorics and Optimization at Waterloo (1993-95), Dorothean Professor of Computer Science at Vermont (1996-2001) and Chair of the Department of Computer Science at Vermont (1997-2001). He joined ASU in 2001. He has authored more than 300 refereed journal papers and three books and has graduated 19 Ph.D. students. He serves on eight editorial boards. Colbourns research employs combinatorial mathematics and algorithms to address problems in diverse areas including software testing, networking (optical, wireless, wireline), computational molecular biology, communications and information theory and experimental design. He develops deep combinatorial results with real applications. Charles.Colbourn@asu.edu 480-727-6631 BYENG 444 http://www.public.asu.edu/~ccolbou Education Ph.D., Computer Science, University of Toronto, 1980 M. Mathematics (Computer Science), University of Waterloo, 1978 B.Sc. (Computer Science), University of Toronto, 1976 Research interests Combinatorial design theory and its applications incommunications and networking Honors and awards The Euler Medal for Lifetime Achievement in Research (2003) Keynote/invited speaker at numerous conferences internationally Key activities Editor-in-chief of the Journal of Combinatorial Designs Editorial boards of Designs Codes and Cryptography; Journal of Combinatorial Theory Series A; Discrete Mathematics December 8, 2014 CIDSE Home Page of Charlie Colbourn Your browser is unable to reproduce the page using the HTML technique known as "frames". Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Charles Colbourn Home Directory and Research Directory Faculty Colbourn, Charles Professor Charles Colbourn earned a Ph.D. in Computer Science at the University of Toronto in 1980. He held faculty positions at the University of Saskatchewan (Canada), the University of Waterloo, and the University of Vermont. During this time he was Chair of the Department of Combinatorics and Optimization at Waterloo (1993-95), Dorothean Professor of Computer Science at Vermont (1996-2001) and Chair of the Department of Computer Science at Vermont (1997-2001). He joined ASU in 2001. He has authored more than 300 refereed journal papers and three books and has graduated 19 Ph.D. students. He serves on eight editorial boards. Colbourns research employs combinatorial mathematics and algorithms to address problems in diverse areas including software testing, networking (optical, wireless, wireline), computational molecular biology, communications and information theory and experimental design. He develops deep combinatorial results with real applications. Charles.Colbourn@asu.edu 480-727-6631 BYENG 444 http://www.public.asu.edu/~ccolbou Education Ph.D., Computer Science, University of Toronto, 1980 M. Mathematics (Computer Science), University of Waterloo, 1978 B.Sc. (Computer Science), University of Toronto, 1976 Research interests Combinatorial design theory and its applications incommunications and networking Honors and awards The Euler Medal for Lifetime Achievement in Research (2003) Keynote/invited speaker at numerous conferences internationally Key activities Editor-in-chief of the Journal of Combinatorial Designs Editorial boards of Designs Codes and Cryptography ; Journal of Combinatorial Theory Series A; Discrete Mathematics December 8, 2014 CIDSE CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4279.txt b/src/data/compiled_bios/4279.txt new file mode 100644 index 0000000000..1e56ae8585 --- /dev/null +++ b/src/data/compiled_bios/4279.txt @@ -0,0 +1 @@ +James Collofello Professor James Collofello joined ASU in 1979 and was instrumental in the start of the computer science degree program. Throughout his entire career, he has maintained a close relationship with software development firms in the state working on joint research projects, developing industry training programs and serving as a software engineering consultant. He is also coordinating the software engineering distance learning program. Collofello also serves as the associate dean of Academic and Student Affairs for the Ira A. Fulton Schools of Engineering. Collofellos research interests lie in the software engineering area. Within software engineering, his primary emphasis is software process modeling, software quality assurance and software project management. He is also very active in software engineering education projects and outreach to local high schools. In 2011, Collofello received the Daniel Jankowski Legacy Award in recognition of the value of his efforts to advance the mission of ASUs Ira A. Fulton Schools of Engineering. collofello@asu.edu 480-965-3733 BYENG 698 Education Ph.D., Computer Science,Northwestern University, 1979 M.S., Mathematics,Northern Illinois University, 1977 B.S., Mathematics,Northern Illinois University, 1976 Research interests Software engineering, software project management, software quality assurance Honors and awards Daniel Jankowski Legacy Award February 23, 2015 CIDSE Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact James Collofello Home Directory and Research Directory Faculty Collofello, James Professor James Collofello joined ASU in 1979 and was instrumental in the start of the computer science degree program. Throughout his entire career, he has maintained a close relationship with software development firms in the state working on joint research projects, developing industry training programs and serving as a software engineering consultant. He is also coordinating the software engineering distance learning program. Collofello also serves as the associate dean of Academic and Student Affairs for the Ira A. Fulton Schools of Engineering. Collofellos research interests lie in the software engineering area. Within software engineering, his primary emphasis is software process modeling, software quality assurance and software project management. He is also very active in software engineering education projects and outreach to local high schools. In 2011, Collofello received the Daniel Jankowski Legacy Award in recognition of the value of his efforts to advance the mission of ASUs Ira A. Fulton Schools of Engineering. collofello@asu.edu 480-965-3733 BYENG 698 Education Ph.D., Computer Science,Northwestern University, 1979 M.S., Mathematics,Northern Illinois University, 1977 B.S., Mathematics,Northern Illinois University, 1976 Research interests Software engineering, software project management, software quality assurance Honors and awards Daniel Jankowski Legacy Award February 23, 2015 CIDSE CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/428.txt b/src/data/compiled_bios/428.txt new file mode 100644 index 0000000000..3ef117c922 --- /dev/null +++ b/src/data/compiled_bios/428.txt @@ -0,0 +1 @@ +Truly, truly, I say to you, unless a grain of wheat falls into the earth and dies, it remains alone; but if it dies, it bears much fruit. John 12:24 Goh Wooi Boon Associate Professor and Associate Chair (Faculty) School of Computer Science and Engineering Nanyang Technological University Singapore 639798 Email: aswbgoh@ntu.edu.sg Tel: (65) 6790 4611 Fax: (65) 6792 6559 diff --git a/src/data/compiled_bios/4280.txt b/src/data/compiled_bios/4280.txt new file mode 100644 index 0000000000..d210fda07d --- /dev/null +++ b/src/data/compiled_bios/4280.txt @@ -0,0 +1 @@ +Partha Dasgupta Associate Professor Partha Dasgupta joined ASU in 1991. Prior to ASU, he held an appointment with Georgia Tech. He held visiting faculty positions at New York University in 1993-1994 and 1998-1999. NSF, DARPA and other sources have consistently funded Dasguptas research. partha@asu.edu 480-965-5583 BYENG 428 http://cactus.eas.asu.edu/partha Education Ph.D., Computer Science,State University of New York, 1984 M. Tech Computer Science,Indian Inst. of Tech, Kanpur, 1981 B. Tech Communications Engineering,Indian Inst. of Tech, Kharagpur, 1979 Research interests Computer security, operating systems, distributed and parallel systems Honors and awards Best Paper Awards PDCS 05, ICDCS95 Key activities Program Vice Chair, ICDCS03, CNIS07 February 23, 2015 CIDSE Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Partha Dasgupta Home Directory and Research Directory Faculty Dasgupta, Partha Associate Professor Partha Dasgupta joined ASU in 1991. Prior to ASU, he held an appointment with Georgia Tech. He held visiting faculty positions at New York University in 1993-1994 and 1998-1999. NSF, DARPA and other sources have consistently funded Dasguptas research. partha@asu.edu 480-965-5583 BYENG 428 http://cactus.eas.asu.edu/partha Education Ph.D., Computer Science,State University of New York, 1984 M. Tech Computer Science,Indian Inst. of Tech, Kanpur, 1981 B. Tech Communications Engineering,Indian Inst. of Tech, Kharagpur, 1979 Research interests Computer security, operating systems, distributed and parallel systems Honors and awards Best Paper Awards PDCS 05, ICDCS95 Key activities Program Vice Chair, ICDCS03, CNIS07 February 23, 2015 CIDSE CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4281.txt b/src/data/compiled_bios/4281.txt new file mode 100644 index 0000000000..403e93576a --- /dev/null +++ b/src/data/compiled_bios/4281.txt @@ -0,0 +1 @@ +Hasan Davulcu Associate Professor Hasan Davulcu has done extensive research in data mining and information assurance. His previous works in the data and services integration were published at prestigious ACM and IEEE conferences. His paper titled CTR-S: A Logic for Specifying Contracts in Semantic Web Services was nominated for the Best Alternate Tracks Paper Award at the 13th International World Wide Web conference. Prior to joining ASU he was the VP of Technology at XSB Inc, a Long Island based software startup. At XSB Inc he was the PI for an NSF funded SBIR project whose goal was to empower end users (who are not computing professionals) to create structured knowledge from unstructured data. At ASU, Professor Davulcus research has been funded by National Science Foundation (NSF) prestigious early CAREER award, the Office of Naval Research (ONR) MURI award and US Department of Defense (DOD). He has authored or co-authored over 30 papers at major Web, database and data mining conferences and journals, and is the co-founder and acting CEO of an e-commerce ASU start-up named USuggest Corporation. hdavulcu@asu.edu 480-965-6385 BYENG 564 http://www.public.asu.edu/~hdavulcu/ Education Ph.D., Computer Science,State University of New York, 2002 M.S., Computer Science, Stony Brook University, 1995 B.S., Mathematics,Middle East Technical University, Turkey, 1993 Research interests Data mining, web and text mining, data cleaning and information extraction, workflows and semantic web services, database systems Honors and awards NSF Career Award, 2007 Key activities PC member, National Conference on Artificial Intelligence (AAAI 2007) PC Member, International Conference on Data Engineering (ICDE 2007) Co-chair, Workshop on Information Integration on the Web PC member, National Conference on Artificial Intelligence (AAAI 2004) January 3, 2018 CIDSE Hasan Davulcu Associate Professor CASCADE , Co-Director School of Computing, Informatics, and Decision Systems Engineering Ira A. Fulton Schools of Engineering Arizona State University CV , Bio Office: BY 564 Phone: (480) 965-6385 (office) E-mail: hdavulcu aat asu,edu CIPS Research Cognitive Information Processing Systems (CIPS) Lab's research focuses on developing novel data mining techniques and tools for structuring and organizing unstructured sources such as text, Web and social network data into semantic machine processable information. Such representations enable creation of conceptual maps to allow users to search and browse without information overload. Sociocultural Modeling Social Media and Web Mining Information Extraction and Database Systems Behavioral Analytics for Detecting Fraud Funding and Awards DOD-ONR MINERVA (2015 - 2018) NSF PFI:BIC - fSENSE (2014 - 2017) DOD-ONR MINERVA (2009 - 2014) NSF CAREER (2007 - 2012) NSF NSDL - MAISON (2008 - 2009) NSF HSD - TDAR (2006 - 2009) DOD-ONR LOOKING GLASS (2015 - 2018) DOD-ONR TRENDS (2014 - 2017) NSF NSDL - MINC (2010 - 2012) DOD-ONR NARRATIVES (2011 - 2014) DOD-ONR MURI (2004 - 2006) FULTON EXEMPLAR FACULTY (2014) Teaching SP 12 - CSE 591 - Semantic Web Mining SP 09 - ASU 101 - The ASU Experience/CSE SP 06 - CSE 412/598 - Database Management FA 05 - CSE 591 - Semantic Web Mining FA 05 - CSE 412/598 - Database Management SP 05 - CSE 591 - Semantic Web Mining SP 05 - CSE 412/598 - Database Management , FA 04 - CSE 494 - Introduction to Data Mining SP 04 - CSE 591 - Semantic Web Mining FA 03 - CSE 412/598 - Database Management SP 03 - CSE 412/598 - Database Management FA 02 - CSE 591 - Semantic Web Mining DBLP - Google Scholar - Research Gate Socio-Cultural Modeling & Analysis Zhou,D., Zhang, S., Yildirim, M., Alcorn, S., Tong, H., Davulcu, H., He, J., 2017, A Local Algorithm for Structure-Preserving Graph Cut , ACM SIGKDD Conference of Knowledge, Discovery, and Data Mining (KDD'2017) , Halifax, Nova Scotia. Ozer, M., Yildirim, Y., Davulcu, H., 2017, Negative Link Prediction and Its Applications in Online Political Networks , ACM Conference on Hypertext and Social Media (ACM Hypertext 17) , Prague, Czech Republic. Zhang, S., Zhou, D., Yildirim, Y., Alcorn, S., He, J., Davulcu, H., Tong, H., 2017, HiDDen: Hierarchical Dense Subgraph Detection with Application to Financial Fraud Detection , SIAM International Conference on Data Mining (SDM17) , Texas, USA. Alostad, H., Davulcu, H., 2017, Directional Prediction of Stock Prices using Breaking News on Twitter , Web Intelligence Journal , Vol. 15(1), pp. 1-17. Yang, P., Davulcu, H., Zhu, Y., He, J., 2016, A Generalized Hierarchical Multi-Latent Space Model for Heterogeneous Learning , IEEE Transactions on Knowledge and Data Engineering , Vol. 28(12), pp. 3154-3168. Ozer, M., Kim, N., Davulcu, H., 2016, Community Detection in Political Twitter Networks using Nonnegative Matrix Factorization Methods , IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM'16) , San Francisco, CA. Alzahrani, S., Ceran, B., Alashri, S., Ruston, S., Corman, S., Davulcu, H., 2016, Story Forms Detection in Text through Concept-Based Co-Clustering , Proceedings of the IEEE International Conferences on Social Computing and Networking (SocialCom'16) , pp. 258-265, Atlanta, GA. Koc, S., Toroslu, I.H., Davulcu, H., 2016, Co-Clustering Signed 3-Partite Graphs , International Symposium on Foundations and Applications of Big Data Analytics (FAB'16) , San Francisco, CA. Lu, Y., Steptoe, M., Burke, S., Wang, H., Tsai, J., Davulcu, H., Montgomery, D., Corman, S.R., Maciejewski, R., 2016, Exploring Evolving Media Discourse Through Event Cueing , IEEE Transactions on Visualization and Computer Graphics , Vol. 22(1), pp. 220-229. Ozer, M., Keles, I., Toroslu, H., Karagoz, P., Davulcu, H., 2016, Predicting the Location and Time of Mobile Phone Users by Using Sequential Pattern Mining Techniques , The Computer Journal, Oxford University Press , Vol. 59(6), pp. 908-122. Climate Change Frames Detection and Categorization Based on Generalized Concepts International Journal of Semantic Computing (IJSC) Alashri, S., Alzahrani, S., Bustikova, L., Siroky, D., Davulcu, H., 2015, What Animates Political Debates? Analyzing Ideological Perspectives in Online Debates between Opposing Parties , Proceedings of the ASE/IEEE International Conference on Social Computing (SocialCom-15) , Stanford, CA. Ceran, B., Kedia, N., Corman, S.R., Davulcu, H., 2015, Story Detection Using Generalized Concepts and Relations , Proceedings of International Symposium on Foundation of Open Source Intelligence and Security Informatics (FOSINT-SI), in conj. with IEEE ASONAM 2015 , Paris, France. Alostad, H., M., Davulcu, H., 2015, Directional Prediction of Stock Prices using Breaking News on Twitter , IEEE/WIC/ACM International Conference on Web Intelligence (WI'15), Singapore. Aktunc, R., Ozer, M., Toroslu, I.H., Davulcu, H., 2015, A Dynamic Modularity Based Community Detection Algorithm for Large-scale Networks , International Symposium on Foundations and Applications of Big Data Analytics (FAB'15), Paris, France. Dawei, Z., He, J., Candan, K. S., Davulcu, H., 2015, MUVIR: Multi-View Rare Category Detection , International Joint Conference on Artificial Intelligence (IJCAI'15) , Buenos Aires, Argentina. Wang, Z., Lai, M.J., Lu, Z., Fan, W., Davulcu, H., Ye, J., 2015, Orthogonal Rank-One Matrix Pursuit for Low Rank Matrix Completion , SIAM Journal on Scientific Computing (SISC) , Vol. 37-1. Alzahrani, S., Alashri, S., Koppela, A., Davulcu, H., Toroslu, I., 2015, A Network-Based Model for Predicting Hashtag Breakouts in Twitter , Proceedings of the International Conference on Social Computing, Behavioral-Cultural Modeling, & Prediction (SBP15), Washington DC, USA, pp. 3-12. Wang, Z., Lai, M.J., Lu, Z., Fan, W., Davulcu, H., Ye, J., 2014, Orthogonal Rank-One Matrix Pursuit for Low Rank Matrix Completion , Proceedings of the 31st International Conference on Machine Learning, (ICML 2014) , Beijing, China, pp. 91-99. Kim, N., Tikves, S., Wang, Z., Githens-Mazer, J., Davulcu, H., 2013, MultiScale Modeling of Islamic Organizations in UK , Proceedings of the ASE/IEEE International Conference on Social Computing (SocialCom-13) , Washington D.C., USA. [Best Paper] Gokalp, S., Temkit, M., Davulcu, H., Toroslu, H., 2013, Partitioning and Scaling Signed Bipartite Graphs for Polarized Political Blogosphere , Proceedings of the ASE/IEEE International Conference on Social Computing (SocialCom-13) , Washington D.C., USA. Mazumder, A., Das, A., Kim, N., Gokalp, S., Sen, A., Davulcu, H., 2013, Spatio-Temporal Signal Recovery from Political Tweets in Indonesia , Proceedings of the ASE/IEEE International Conference on Social Computing (SocialCom-13) , Washington D.C., USA. Omeroglu, N., Toroslu, H., Gokalp, S., Davulcu, H., 2013, K-partitioning of Signed or Weighted Bipartite Graphs , Proceedings of the ASE/IEEE International Conference on Social Computing (SocialCom-13) , Washington D.C., USA. Kim, N., Gokalp, S., Davulcu, H., Woodward M., 2013, LookingGlass: A Visual Intelligence Platform for Tracking Online Social Movements , Proceedings of International Symposium on Foundation of Open Source Intelligence and Security Informatics (FOSINT-SI), in conjunction with IEEE ASONAM 2013 , Niagara Falls, Canada. Activities PC Member, World Wide Web Conference (WWW 2013) , Semantic Web Track, May 13, 2013, Brazil. PC Member, International Conference on Data Engineering (ICDE 2007) , April 15-20, 2007, Turkey. PC Member, Very Large Data Bases (VLDB 2005) , Aug 30 - Sept 2, 2005, Trondheim, Norway. PC Member, International Semantic Web Conference (ISWC 2004) , November 7-11, 2004, Japan. Co-Chair, Workshop on Information Integration on the Web , VLDB 2004 , August 29, 2004, Toronto. PC Member, Indian International Conference on Artificial Intelligence (IICAI-05) , Dec 20, 2005, India. PC Member, National Conference on Artificial Intelligence (AAAI-04) , July 25-29, 2004, California. PC Member, International Conference on Data Engineering (ICDE 2004) , March 30, 2004, Boston. PC Member, Workshop on Information Integration on the Web , IJCAI 2003 , August 9, 2003, Mexico. Alumni Saud Al-Ashri (Ph.D) , Asst. Professor, KACST Sultan Alzahrani (Ph.D) , Asst. Professor, KACST Nyunsu Kim (Ph.D) , American Express Sukru Tikves, (Ph.D) , Google Sedat Gokalp, (Ph.D) , Microsoft S. Toufeeq Ahmed, (Ph.D) , Asst. Professor, Vanderbilt University Betul Ceran (Ph.D) , Asst. Professor, Yildirim Beyazit Universitesi Srinivas Vadrevu, (Ph.D) , Microsoft Viet Hung Nguyen, (Ph.D) Hana Alostad, (Ph.D) Fatih Gelgi, (Ph.D) Ankur Soni, VMware (MS) Deepthi Chidambaram, Amazon (M.S.) Chintan Patel, Amazon (MS) Naman Goel, Google (MS) Saravanakumar Nagarajan, Microsoft (MS) Indu Verma, Cisco Systems (MS) Bharadhwaj Narayanan, Yahoo (MS) Bhushan Pendharkar, Microsoft (MS) Shreejay Nair, Recruiting.com (MS) Sashi Gangaraju, ASU (MS) Sai Denduluri, eBay (MS) Pradeep (Sheela) Kanwar, Intel (MS) Sumitha Poornachandran, Zynga (MS) Sathishkumar Poornachandran, Recruiting.com (MS) Radhika Nair, Salesforce.com (MS) Sriram Subramanian, LinkedIn (MS) Ruchi Bhindwale, StubHub (MS) Dinu John, A9.com (MS) Venkata Chaitanya Achanta, Cisco Systems (MS) Current Students Mert Ozer (Ph.D) Mehmet Yildirim (Ph.D.) Amin Salehi (Ph.D.) Curriculum Vitae My CV Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Hasan Davulcu Home Directory and Research Directory Faculty Davulcu, Hasan Associate Professor Hasan Davulcu has done extensive research in data mining and information assurance. His previous works in the data and services integration were published at prestigious ACM and IEEE conferences. His paper titled CTR-S: A Logic for Specifying Contracts in Semantic Web Services was nominated for the Best Alternate Tracks Paper Award at the 13th International World Wide Web conference. Prior to joining ASU he was the VP of Technology at XSB Inc, a Long Island based software startup. At XSB Inc he was the PI for an NSF funded SBIR project whose goal was to empower end users (who are not computing professionals) to create structured knowledge from unstructured data. At ASU, Professor Davulcus research has been funded by National Science Foundation (NSF) prestigious early CAREER award, the Office of Naval Research (ONR) MURI award and US Department of Defense (DOD). He has authored or co-authored over 30 papers at major Web, database and data mining conferences and journals, and is the co-founder and acting CEO of an e-commerce ASU start-up named USuggest Corporation. hdavulcu@asu.edu 480-965-6385 BYENG 564 http://www.public.asu.edu/~hdavulcu/ Education Ph.D., Computer Science,State University of New York, 2002 M.S., Computer Science, Stony Brook University, 1995 B.S., Mathematics,Middle East Technical University, Turkey, 1993 Research interests Data mining, web and text mining, data cleaning and information extraction, workflows and semantic web services, database systems Honors and awards NSF Career Award, 2007 Key activities PC member, National Conference on Artificial Intelligence (AAAI 2007) PC Member, International Conference on Data Engineering (ICDE 2007) Co-chair, Workshop on Information Integration on the Web PC member, National Conference on Artificial Intelligence (AAAI 2004) January 3, 2018 CIDSE CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4282.txt b/src/data/compiled_bios/4282.txt new file mode 100644 index 0000000000..7691472a68 --- /dev/null +++ b/src/data/compiled_bios/4282.txt @@ -0,0 +1 @@ +Doup, Adam Adam Doup joined the School of Computing, Informatics and Decision Systems Engineering at Arizona State University as an Assistant Professor in 2014. Before starting his PhD in 2010, Adam worked as a full-time Software Developer Engineer at Microsoft. His main research interests are in systems security, and he is also interested in web security, educational hacking competitions, and excellent scientific writing. doupe@asu.edu 480-727-5471 BYENG 472 http://adamdoupe.com Education Ph.D., Computer Science, UC Santa Barbara, 2014 M.S., Computer Science, UC Santa Barbara, 2009 B.S., Computer Science, UC Santa Barbara, 2008 Research interests Cyber security, web security, automated vulnerability analysis, mobile app security, static analysis, program analysis, hacking competitions, software-defined networking security, telephony security, and pentesting. Honors and awards 2015 Fulton Schools of Engineering Best Teacher Award Top 5% Best Paper Award, A Large-Scale Study of Mobile Web App Security at Mobile Security Technologies Workshop (MoST), May, 2015 2013 Outstanding Publication Award in Computer Science, UC Santa Barbara Key activities Co-Chair of Poster Session USENIX Security Symposium, 2015 2013 Outstanding Publication Award in Computer Science, UC Santa Barbara January 26, 2017 Erik Wirtanen Adam Doup Assistant Professor, Arizona State University Associate Director, Center for Cybersecurity and Digital Forensics RSS Research Service Teaching Publications Curriculum Vitae Media Blog I am an Assistant Professor in the School of Computing, Informatics, and Decision Systems Engineering at Arizona State University . I am also Associate Director of the Center for Cybersecurity and Digital Forensics in the Global Security Initiative at Arizona State University . I am also Faculty Advisor of the pwndevils , a hacking and CTF team started at ASU. My research focuses on automated vulnerability analysis, web security, mobile security, network security, and hacking competitions. I am the co-Director of the Laboratory of Security Engineering For Future Computing (SEFCOM) along with Dr. Gail-Joon Ahn , Dr. Ziming Zhao , and Dr. Yan Shoshitaishvili . I host a series of live hacking of CTF challenges on YouTube and post almost all of my courses on YouTube . Contact Mail: P.O. Box 878809 Tempe , AZ 85287-8809 Office: BYENG 472 699 S Mill Ave. Tempe, AZ 85281 Map doupe@asu.edu GPG Key Recent News Our paper on a scalable framework to measure the effectiveness of evading browser phishing blacklisting was accepted for publication at the IEEE Symposium on Security and Privacy 2019 Our paper on predicting private interactions in an underground hacking forum was accepted for publication at CODASPY 2019 Our paper on cross-world covert channels on ARM TrustZone was accepted for publication at the Annual Computer Security Applications Conference (ACSAC) 2018 Our paper on attacks against Wi-Fi calling was accepted for publication at the Annual Computer Security Applications Conference (ACSAC) 2018 Our paper on a new class of attacks against SDN was accepted for publication at the ACM Conference on Computer and Communications Security (CCS) Our paper on phishing kit analysis was accepted for publication at the Symposium on Electronic Crime Research (eCrime) 2018 Our paper on E-mail header injections was accepted for publication at the Symposium On Applied Computing (SEC@SAC) 2018 Our paper on real-world SDN firewall deployments was accepted for publication at the Workshop on Security in Software Defined Networks and Network Function Virtualization (SN-NFV-Sec) 2018 I will be hosting DEF CON CTF 26 as part of The Order of the Overflow . Our paper Shell We Play A Game? CTF-as-a-service for Security Education was accepted for publication at the Workshop on Advances in Security Education (ASE) 2017 I received the Fulton Schools of Engineering Outstanding Assistant Professor for 2017 I received the Fulton Schools of Engineering Best Teacher Award Copyright 2019 - Adam Doup - Powered by Octopress Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Doup, Adam Home Directory and Research Directory Faculty Doup, Adam Adam Doup joined the School of Computing, Informatics and Decision Systems Engineering at Arizona State University as an Assistant Professor in 2014. Before starting his PhD in 2010, Adam worked as a full-time Software Developer Engineer at Microsoft. His main research interests are in systems security, and he is also interested in web security, educational hacking competitions, and excellent scientific writing. doupe@asu.edu 480-727-5471 BYENG 472 http://adamdoupe.com Education Ph.D., Computer Science, UC Santa Barbara, 2014 M.S., Computer Science, UC Santa Barbara, 2009 B.S., Computer Science, UC Santa Barbara, 2008 Research interests Cyber security, web security, automated vulnerability analysis, mobile app security, static analysis, program analysis, hacking competitions, software-defined networking security, telephony security, and pentesting. Honors and awards 2015 Fulton Schools of Engineering Best Teacher Award Top 5% Best Paper Award, A Large-Scale Study of Mobile Web App Security at Mobile Security Technologies Workshop (MoST), May, 2015 2013 Outstanding Publication Award in Computer Science, UC Santa Barbara Key activities Co-Chair of Poster Session USENIX Security Symposium, 2015 2013 Outstanding Publication Award in Computer Science, UC Santa Barbara January 26, 2017 Erik Wirtanen CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4283.txt b/src/data/compiled_bios/4283.txt new file mode 100644 index 0000000000..719a76c14c --- /dev/null +++ b/src/data/compiled_bios/4283.txt @@ -0,0 +1 @@ +Elhoseiny, Mohamed elhoseiny@asu.edu Education PhD Rutgers University Research Interests Computer vision; Intersection between natural language and vision; Computational creativity February 5, 2019 Ashley Stenerson Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Elhoseiny, Mohamed Home Elhoseiny, Mohamed elhoseiny@asu.edu Education PhD Rutgers University Research Interests Computer vision; Intersection between natural language and vision; Computational creativity February 5, 2019 Ashley Stenerson CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4284.txt b/src/data/compiled_bios/4284.txt new file mode 100644 index 0000000000..039eec2b98 --- /dev/null +++ b/src/data/compiled_bios/4284.txt @@ -0,0 +1 @@ +Adolfo R. Escobedo Adolfo R. Escobedo is an avid educator and researcher in the dynamic field of industrial and operations engineering.His research combines facets of mathematical programming and computing to develop efficient scalablesolutions to challenging real-world problems. The research areas in which he is active include decision theory, powersystems, sustainable infrastructure development, and optimization software. In conjunction with Erick Moreno-Centeno, Adolfo received an Honorable Mention in the 2015 INFORMS Junior Faculty Interest Group paper competition as a student at Texas A&M based on his work on roundoff error-free algorithms for optimization. adRes@asu.edu 480-965-5248 Education Ph.D. Industrial Engineering, Texas A&M University, 2016 B.A. Mathematics, California State University, Los Angeles, 2009. Research interests Theory and application of optimization, mathematical programming error reduction/elimination Honors and awards Honorable Mention in the 2015 INFORMS Junior Faculty Interest Group paper competition July 30, 2018 Monique Clement Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Adolfo R. Escobedo Home Directory and Research Directory Faculty Escobedo, Adolfo R. Adolfo R. Escobedo is an avid educator and researcher in the dynamic field of industrial and operations engineering.His research combines facets of mathematical programming and computing to develop efficient scalablesolutions to challenging real-world problems. The research areas in which he is active include decision theory, powersystems, sustainable infrastructure development, and optimization software. In conjunction with Erick Moreno-Centeno, Adolfo received an Honorable Mention in the 2015 INFORMS Junior Faculty Interest Group paper competition as a student at Texas A&M based on his work on roundoff error-free algorithms for optimization. adRes@asu.edu 480-965-5248 Education Ph.D. Industrial Engineering, Texas A&M University, 2016 B.A. Mathematics, California State University, Los Angeles, 2009. Research interests Theory and application of optimization, mathematical programming error reduction/elimination Honors and awards Honorable Mention in the 2015 INFORMS Junior Faculty Interest Group paper competition July 30, 2018 Monique Clement CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4285.txt b/src/data/compiled_bios/4285.txt new file mode 100644 index 0000000000..f5f761e433 --- /dev/null +++ b/src/data/compiled_bios/4285.txt @@ -0,0 +1 @@ +Georgios, Fainekos Georgios Fainekos is an associate professor at the School of Computing, Informatics and Decision Systems Engineering (CIDSE) at Arizona State University. He is director of the Cyber-Physical Systems (CPS) Lab and he is currently affiliated with the NSF I/UCR Center for Embedded Systems (CES) at ASU. He received his Ph.D. in Computer and Information Science from the University of Pennsylvania in 2008 where he was affiliated with the GRASP laboratory. He holds a Diploma degree (B.Sc. & M.Sc.) in Mechanical Engineering from the National Technical University of Athens and an M.Sc. degree in Computer and Information Science from the University of Pennsylvania. Before joining ASU, he held a Postdoctoral Researcher position at NEC Laboratories America in the System Analysis & Verification Group. He is currently working on Cyber-Physical Systems (CPS) and robotics. In particular, his expertise is on formal methods, logic, artificial intelligence, optimization and control theory. His research has applications on automotive systems, medical devices, autonomous (ground and aerial) robots and human-robot interaction (HRI). In 2013, Fainekos received the NSF CAREER award. He was also recipient of the CIDSE Best Researcher Junior Faculty award for 2013 and of the 2008 Frank Anger Memorial ACM SIGBED/SIGSOFT Student Award. He was program co-chair of the 2016 ACM International Conference on Hybrid Systems: Computation and Control. fainekos@asu.edu 480-965-8267 Centerpoint 203-17 http://www.public.asu.edu/~gfaineko Education Ph.D.,University of Pennsylvania, 2008 M.Sc.,University of Pennsylvania, 2004 B.Sc. & M.Sc.,National Technical University of Athens, 2001 Research interests Cyber-physical systems: hybrid dynamical systems, real-time and embedded systems; Formal methods with applications to automation & control: system testing and verification, formal languages and logic; motion planning in robotics; unmanned aerial vehicles (UAV) Honors and awards 2008 Frank Anger Memorial ACM SIGBED/SIGSOFTStudent Award Key activities Guest Editor of ACM Transactions on Embedded Computing Systems Special issue: Numerical Software Verification of Cyber-Physical Software Systems Co-organizer of Int. workshop on Numerical Software Verification Program Committee member of IEEE Real-Time Systems Symposium January 25, 2017 CIDSE Georgios Fainekos Associate Professor, School of Computing, Informatics and Decision Systems Engineering Home Research/Software Publications Alumni/Teaching/Service Bio Recent Publications Recent Courses Group Georgios Fainekos Associate Professor Cyber-Physical Systems Laboratory (CPSLab) Center for Embedded Systems (CES) ASU Robotics School of Computing, Informatics and Decision Systems Engineering (SCIDSE) Ira A. Fulton Schools of Engineering Arizona State University Bio [See also Curriculum Vitae] Georgios Fainekos is an Associate Professor at the School of Computing, Informatics and Decision Systems Engineering at Arizona State University . He is director of the Cyber-Physical Systems Laboratory (CPSLab). He is affiliated with the Center for Embedded Systems (CES) and he is also member of the ASU Robotics group. He received his Ph.D. in Computer and Information Science from the University of Pennsylvania in 2008 where he was affiliated with the GRASP Lab . Prof. Fainekos holds a Diploma degree (B.Sc. & M.Sc.) in Mechanical Engineering from the National Technical University of Athens and an M.Sc. degree in Computer and Information Science from the University of Pennsylvania . Before joining ASU, he held a Postdoctoral Researcher position at NEC Laboratories America in the System Analysis & Verification Group. He is currently working in the area of Cyber-Physical Systems (CPS), autonomous systems, and mobile robots. In particular, his research interests include formal specification, modeling, testing, verification, synthesis, control, and monitoring for hybrid dynamical systems and discrete event systems. His software toolbox, S-TaLiRo , for requirements guided testing and monitoring of CPS has been nominated twice as a technological breakthrough by the industry. In terms of automotive applications, Prof. Fainekos research interests span formal models, control, machine learning, and planning with ultimate goal of developing safe and dependable autonomous vehicles. Prof. Fainekos is recipient of the NSF CAREER award . He was also recipient of the SCIDSE Best Researcher Junior Faculty award for 2013 and of the 2008 Frank Anger Memorial ACM SIGBED/SIGSOFT Student Award . [more ...] Recent selected preprints & papers For a complete list of my publications please visit my publications page , or for the most recent updates check out Simulation-based Adversarial Test Generation for Autonomous Vehicles with Machine Learning Components ( pdf ), Cumhur Erkan Tuncali , Georgios Fainekos , Hisahiro Ito, and James Kapinski, IEEE Intelligent Vehicles Symposium (IV), 2018 Specification-based Monitoring of Cyber-Physical Systems: A Survey on Theory, Tools and Applications , E. Bartocci, J. Deshmukh, A. Donze, G. Fainekos , O. Maler, D. Nickovic, and S. Sankaranarayanan, Lectures on Runtime Verification - Introductory and Advanced Topics, LNCS 10457 , pp 128-168, Springer, 2018 Optimal Multi-Valued LTL Planning for Systems with Access Right Levels ( pdf ), Mohammad Hekmatnejad and Georgios Fainekos American Control Conference (ACC), Milwaukee, WI, June 2018 Deep Predictive Models for Collision Risk Assessment in Autonomous Driving ( pdf ), Mark Strickland, Georgios Fainekos , Heni Ben Amor IEEE International Conference on Robotics and Automation, Brisbane, Australia, May 2018 Formal Requirement Debugging for Testing and Verification of Cyber-Physical Systems ( pdf , extended tech report ) , Adel Dokhanchi, Bardh Hoxha, and Georgios Fainekos , ACM Transactions on Embedded Computing Systems, V17, I2, 2018 Mining Parametric Temporal Logic Properties in Model Based Design for Cyber-Physical Systems ( extended tech report ) , Bardh Hoxha, Adel Dokhanchi and Georgios Fainekos , International Journal on Software Tools for Technology Transfer, V20, I1, pp 7993, 2018 Temporal Logic Control under Incomplete or Conflicting Information ( pdf ), Georgios Fainekos and Herbert Glenn Tanner American Control Conference (ACC), Seattle, WA, May 2017 Hybrid Approximate Gradient and Stochastic Descent for Falsification of Nonlinear Systems ( pdf ), Shakiba Yaghoubi , and Georgios Fainekos American Control Conference (ACC), Seattle, WA, May 2017 Model-Based Falsification of an Artificial Pancreas Control System ( pdf ), S. Sankaranarayanan, S. A. Kumar, F. Cameron, B. W. Bequette, G. Fainekos and D. Maahs ACM SIGBED Review - Special Issue on Medical Cyber Physical Systems workshop (MedicalCPS'16), V14, N2, pp 24-33, 2017 Automatic Parallelization of Multi-rate Block Diagrams of Control Systems on Multi-core Platforms ( pdf ) , Cumhur Erkan Tuncali, Georgios Fainekos , and Yann-Hang Lee, ACM Transactions on Embedded Computing Systems, V16, I1, 2016 An Efficient Algorithm for Monitoring Practical TPTL Specifications ( extended pdf ), Adel Dokhanchi, Bardh Hoxha, Cumhur Erkan Tuncali, Georgios Fainekos ACM/IEEE International Conference on Formal Methods and Models for System Design (MEMOCODE), 2016 Utilizing S-TaLiRo as an Automatic Test Generation Framework for Autonomous Vehicles ( pdf ), Cumhur Erkan Tuncali , Theodore P. Pavlic, and Georgios Fainekos IEEE Intelligent Transportation Systems Conference, Rio de Janeiro, Brazil, Nov. 2016 Recent and Upcoming Courses Fall 2018 (ASU): CSE 494: Introduction to Mobile Robotics Spring 2018 (ASU): CSE 355: Introduction to Theoretical Computer Science Fall 2017 (ASU): CSE 355: Introduction to Theoretical Computer Science Spring 2016 (ASU): CSE 591: Cyber-Physical Systems: Modeling, Verification and Synthesis Fall 2015 (ASU): CSE 494: Introduction to Mobile Robotics Spring 2015 (ASU): CSE 355: Introduction to Theoretical Computer Science Fall 2014 (ASU): CSE 574: Planning and Learning Methods in AI See older courses . Group [See group photos] A few remarks for prospective students I will not be responding to emails which do not observe the above guidelines/comments. Post-docs Adel Dokhanchi (CIDSE; Google Scholar Profile ) PhD Students Joseph Campbell (CIDSE; Google Scholar Profile ; Co-advised with Heni Ben Amor ) Mohammad Hekmatnejad (CIDSE) Kangjin Kim (CIDSE; Google Scholar Profile ) C. Erkan Tuncali (CIDSE); Google Scholar Profile ) Shakiba Yaghoubi (CIDSE; Google Scholar Profile ) Alumni Contact Information E-mail fainekos at asu dot edu Office phone number +1 (480) 965-8267 Office address My office is in [Centerpoint] which is the " Hottest Spot in Town "! 660 W 6th St, STE 203 Tempe, AZ 85281 [Google map] [Recommended Parking 1] [Recommended Parking 2] Office Room Number Centerpoint 203-17 CPSLab Room Number Centerpoint 203-27 Mailing address 699 S. Mill Avenue, STE 553 Tempe, AZ 85281 Schedule Office hours, travel, meetings, etc Note: Google calendar might not be displayed properly on Safari or Internet Explorer! News 2018.04 Dr. Hoxha received the Best CS PhD student of the Year 2017-18 Award ! Congratulations! 2017.09 PhD Graduation: Congratulations to Dr. Dokhanchi ! Dr. Dokhanchi is staying at ASU for a postdoc! 2017.07 PhD Graduation: Congratulations to Dr. Hoxha ! Dr. Hoxha is off to Southern Illinois University as an Assistant Prof! 2017.05 CPSLab participates in the AFRL Summer of Innovation 2017 program! 2015.05 Promoted to Associate Professor with Tenure! 2015.04 Chairing HSCC 2016: Please submit your best papers! 2015.01 PhD Graduation: Congratulations to Dr. Abbas ! Dr. Abbas is off to the University of Pennsylvania for a postdoc! read old news New & Recent Events SWRS 2018 ASU South West Robotics Symposium MT-CPS 2017 2nd Workshop on Monitoring and Testing of Cyber-Physical Systems read past events Fun trivia Academic Genealogy UG @ ASU Undergraduate Research at ASU Fulton Undergraduate Research Initiative FURI Interested in RoboCup? Send me an email! Home :: Research :: Publications :: Miscellaneous Admin: G. Fainekos // Design: O. Fainekos // Copyright @ Georgios Fainekos // Last update@2018.02.08 Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Georgios, Fainekos Home Directory and Research Directory Faculty Fainekos, Georgios Georgios Fainekos is an associate professor at the School of Computing, Informatics and Decision Systems Engineering (CIDSE) at Arizona State University. He is director of the Cyber-Physical Systems (CPS) Lab and he is currently affiliated with the NSF I/UCR Center for Embedded Systems (CES) at ASU. He received his Ph.D. in Computer and Information Science from the University of Pennsylvania in 2008 where he was affiliated with the GRASP laboratory. He holds a Diploma degree (B.Sc. & M.Sc.) in Mechanical Engineering from the National Technical University of Athens and an M.Sc. degree in Computer and Information Science from the University of Pennsylvania. Before joining ASU, he held a Postdoctoral Researcher position at NEC Laboratories America in the System Analysis & Verification Group. He is currently working on Cyber-Physical Systems (CPS) and robotics. In particular, his expertise is on formal methods, logic, artificial intelligence, optimization and control theory. His research has applications on automotive systems, medical devices, autonomous (ground and aerial) robots and human-robot interaction (HRI). In 2013, Fainekos received the NSF CAREER award. He was also recipient of the CIDSE Best Researcher Junior Faculty award for 2013 and of the 2008 Frank Anger Memorial ACM SIGBED/SIGSOFT Student Award. He was program co-chair of the 2016 ACM International Conference on Hybrid Systems: Computation and Control. fainekos@asu.edu 480-965-8267 Centerpoint 203-17 http://www.public.asu.edu/~gfaineko Education Ph.D.,University of Pennsylvania, 2008 M.Sc.,University of Pennsylvania, 2004 B.Sc. & M.Sc.,National Technical University of Athens, 2001 Research interests Cyber-physical systems: hybrid dynamical systems, real-time and embedded systems; Formal methods with applications to automation & control: system testing and verification, formal languages and logic; motion planning in robotics; unmanned aerial vehicles (UAV) Honors and awards 2008 Frank Anger Memorial ACM SIGBED/SIGSOFTStudent Award Key activities Guest Editor of ACM Transactions on Embedded Computing Systems Special issue: Numerical Software Verification of Cyber-Physical Software Systems Co-organizer of Int. workshop on Numerical Software Verification Program Committee member of IEEE Real-Time Systems Symposium January 25, 2017 CIDSE CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4286.txt b/src/data/compiled_bios/4286.txt new file mode 100644 index 0000000000..7355d3d3a0 --- /dev/null +++ b/src/data/compiled_bios/4286.txt @@ -0,0 +1 @@ +Xuerong Feng Lecturer Xuerong Feng joined ASU in 2008. Prior to ASU, she was an assistant professor at the Valdosta State University for three years. Also, she has five years of industry experience in Singapore. xuerong.feng@asu.edu 480-965-2855 BYENG 512 http://www.public.asu.edu/~xfeng13/ Education Ph.D., Computer Science, University of Texas, Dallas, 2005 Research interests Algorithm design and analysis, including network algorithms, Bioinformatics algorithms and parallel algorithms December 15, 2011 CIDSE Xuerong (Sherry), Feng Lecturer School of Computing, Informatics and Decision Systems Engineering Arizona State University P.O. Box 878809 Tempe, AZ 85287-8809, USA Ph.D. in Computer Science, University of Texas at Dallas , 2005 Contacts Phone: (480)965-2855 Fax. (480) 965 2751 Email: xuerong DOT feng AT asu DOT edu Office: Brickyard 512 (5th floor) Courses CSE 100 Pringciples of Programming with C++ CSE 110 Pringciples of Programming with Java CSE 180 Computer Literacy If you know how to use Blackboard, logon to Blackboard now to view course syllabus. Otherwise, read this for more information: What do you need to prepare for the first day of class CSE 205 Object Oriented Programming & Data Structure CSE 220 Programming for Computer Engineering CSE 310 Data Structures and Algorithms Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Xuerong Feng Home Directory and Research Directory Faculty Feng, Xuerong Lecturer Xuerong Feng joined ASU in 2008. Prior to ASU, she was an assistant professor at the Valdosta State University for three years. Also, she has five years of industry experience in Singapore. xuerong.feng@asu.edu 480-965-2855 BYENG 512 http://www.public.asu.edu/~xfeng13/ Education Ph.D., Computer Science, University of Texas, Dallas, 2005 Research interests Algorithm design and analysis, including network algorithms, Bioinformatics algorithms and parallel algorithms December 15, 2011 CIDSE CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4287.txt b/src/data/compiled_bios/4287.txt new file mode 100644 index 0000000000..0a881270eb --- /dev/null +++ b/src/data/compiled_bios/4287.txt @@ -0,0 +1 @@ +Stephanie Forrest Forrest is a Professor in CIDSE and Director of the Biodesign Center for Biocomputation, Security and Society. She is a computer scientist who studies the biology of computation and computation in biology, including biological modeling of immunological processes and evolutionary diseases, cybersecurity, software engineering, and evolutionary computation. steph@asu.edu 480-727-0492 forrest.biodesign.asu.edu Education Ph.D., University of Michigan M.S., University of Michigan B.A., St. Johns College August 16, 2018 Erik Wirtanen Skip to main content Toggle navigation Report an accessibility problem Menu Sign In / Sign Out Sign In Menu ASU Home News/Events Academics Research Athletics Alumni Giving President About ASU My ASU Colleges and Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Innovation Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map and Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Corporate Engagement and Strategic Partnerships Research Park Washington D.C. 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Research Overview Research Faculty Team Publications News & Events Current Openings Tell us what you think and WIN! Take a quick survey about your experience with the new Biodesign website and be entered to win a $20 Starbucks Gift Card Take the Survey Your contributions will make a difference! Tempe, Arizona 85287 480-727-8322 Map KEEP Facebook Twitter LinkedIn Instagram Pinterest Vimeo Photo/Video Credits Employee Intranet Home People Contact About News & Events Jobs@Biodesign Research Get Involved ASU is #1 in the U.S. for Innovation Copyright and Trademark Accessibility Privacy Terms of Use Jobs Emergency Contact ASU Stephanie Forrest Home Teaching Publications Research Software Students Home Page Stephanie Forrest works at Arizona State University , where she directs the Biodesign Center for Biocomputation, Security and Society, and she is a Professor in the School of Computing, Informatics and Decision Sciences Engineering CIDSE ). Prior to joining ASU, she was Regents Distinguished Professor of Computer Science at the University of New Mexico in Albuquerque and served as Dept. Chair 2006-2007. Professor Forrest was educated at St. John's College (B.A.), and The University of Michigan (M.S. and Ph.D. in Computer Science). She is currently a member of the External Faculty at the Santa Fe Institute , and served as Co-chair of its Science Board (2010-2013) and as Interim Vice President (1999-2000). She spent 2013-2014 as a Jefferson Science Fellow at the U.S. Dept. of State and is currently a board member of the Computing Research Association . Forrest's research studies the biology of computation and the computation of biology, including work on computational immunology, computer security, automated software repair, evolutionary computation, and biological modeling. Some of her awards include: the SFI Stanislaw Ulam Memorial Lectures (2013), the UNM Annual Research Lecture (2012), the ACM/AAAI Allen Newell Award (2011), and the Presidential Young Investigator Award (1991). She is a Fellow of the IEEE. Some interviews and public talks are available here . Here are the 2013 Santa FeInstitute Ulam Lectures , on Complexity and the Biology of Computation, which she delivered Sept. 10, 11, 12, 2013. A somewhat up-to-date Curriculum Vitae is available here . Email to: steph@asu.edu . Public Key Current projects result from the generous support of the National Science Foundation , Defense Advanced Research Projects Agency (DARPA), Air Force Research Laboratory, and the The Santa Fe Institute . Office Locations Biodesign Bldg. B, 120A Mailing Address Biodesign Institute Arizona State University P.O. Box 877801 Tempe AZ 85287-7801 Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Stephanie Forrest Home Directory and Research Directory Faculty Forrest, Stephanie Forrest is a Professor in CIDSE and Director of the Biodesign Center for Biocomputation, Security and Society. She is a computer scientist who studies the biology of computation and computation in biology, including biological modeling of immunological processes and evolutionary diseases, cybersecurity, software engineering, and evolutionary computation. steph@asu.edu 480-727-0492 forrest.biodesign.asu.edu Education Ph.D., University of Michigan M.S., University of Michigan B.A., St. Johns College August 16, 2018 Erik Wirtanen CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4288.txt b/src/data/compiled_bios/4288.txt new file mode 100644 index 0000000000..f63b41ee94 --- /dev/null +++ b/src/data/compiled_bios/4288.txt @@ -0,0 +1 @@ +Ashraf Gaffar Assistant Professor Ashraf Gaffar joined ASU in 2012. He comes with rich industrial experience in software design. Prior to ASU, he worked at SAP as a Senior Design Expert for several years, where he helped design and develop complex software products. He was instrumental in developing new SAP Design Guidelines, methods and toolsfor SAP mobile applications. Prior to SAP, he worked at other multinational companies including IBM and Johnson & Johnson. His expertise is centered around major industrial software (ERP & CRM) in different application domains (Retail, HR, Financial, and Medical domains). He is also a certified and practicing Project Manager. agaffar@asu.edu 480-727-5103 Peralta 230W Education Ph.D., Software Engineering, Concordia University, 2005 Research interests Human Centered Design, HCI and human cognition, Human-Car Interaction, Human-Robot Interaction, Software Design Methods, Software concept visualization Honors and awards National Science Foundation, NSF, (TUES program) for iMOD project. (3 year 2013-2015) EcoCAR 3, a DoE project, with GM. 4 year grant (2014-17) FQRNT Scholarship (le Fonds Qubcois de la Recherche sur la Nature et les Technologies, Canada) 2 years Power Corporations of Canada Scholarship(Recognition for superior academic achievements), 1 year External Grant Holder Scholarship, Concordia UniversityResearch Chair Grant, Faculty of Electrical and Computer Engineering SAP Design Innovation Award. Recognition for my work on Ajax Weaver, a visual design & deployment framework for mobile web services SAP Peer-to-Peer Recognition Award. Recognition for SAP Core Values among colleagues SAP Field Enablement Award. Recognition for my design of mobile CRM software application on iPhone October 17, 2014 Erik Wirtanen Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Ashraf Gaffar Home Directory and Research Directory Faculty Gaffar, Ashraf Assistant Professor Ashraf Gaffar joined ASU in 2012. He comes with rich industrial experience in software design. Prior to ASU, he worked at SAP as a Senior Design Expert for several years, where he helped design and develop complex software products. He was instrumental in developing new SAP Design Guidelines, methods and toolsfor SAP mobile applications. Prior to SAP, he worked at other multinational companies including IBM and Johnson & Johnson. His expertise is centered around major industrial software (ERP & CRM) in different application domains (Retail, HR, Financial, and Medical domains). He is also a certified and practicing Project Manager. agaffar@asu.edu 480-727-5103 Peralta 230W Education Ph.D., Software Engineering, Concordia University, 2005 Research interests Human Centered Design, HCI and human cognition, Human-Car Interaction, Human-Robot Interaction, Software Design Methods, Software concept visualization Honors and awards National Science Foundation, NSF, (TUES program) for iMOD project. (3 year 2013-2015) EcoCAR 3 , a DoE project, with GM. 4 year grant (2014-17) FQRNT Scholarship (le Fonds Qubcois de la Recherche sur la Nature et les Technologies, Canada) 2 years Power Corporations of Canada Scholarship(Recognition for superior academic achievements), 1 year External Grant Holder Scholarship, Concordia UniversityResearch Chair Grant, Faculty of Electrical and Computer Engineering SAP Design Innovation Award. Recognition for my work on Ajax Weaver, a visual design & deployment framework for mobile web services SAP Peer-to-Peer Recognition Award. Recognition for SAP Core Values among colleagues SAP Field Enablement Award. Recognition for my design of mobile CRM software application on iPhone October 17, 2014 Erik Wirtanen CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4289.txt b/src/data/compiled_bios/4289.txt new file mode 100644 index 0000000000..6f2c978219 --- /dev/null +++ b/src/data/compiled_bios/4289.txt @@ -0,0 +1 @@ +Kevin Gary Associate Professor Kevin Gary joined ASU in 2004 after working in industry and a prior appointment on the faculty of the Catholic University of America. He serves on the program faculty for the undergraduate and graduate degree programs in Software Engineering at ASU. His research interests are in software architecture, agile methods, and open source. He particularly focuses on applications in healthcare and e-learning. In healthcare, he recently spent a year on sabbatical as the Chief Architect in the Sheik Zayed Institute for Pediatric Surgical Innovation at the Childrens National Medical Center in Washington D.C., working on projects in image-guided and robotic surgery, and mobile applications for healthcare (mHealth). In teaching innovation, he created the Software Enterprise, an experiential learning model which blends multiple methods of delivery into one pedagogical model. The Software Enterprise forms the core project spine within the B.S. and M.S. degree programs in Software Engineering at ASU, and in 2011 he was part of team to receive the Presidents Award for Innovation from Dr. Crow. He is engaged in service to the profession and to ASU, reviewing for several established journals, serving on conference program committees, and spending a year as the Associate Chair of computing programs on the Polytechnic Campus. He is a member of IEEE, ACM, and ASEE. kgary@asu.edu 480-727-1373 Peralta 230C Education Ph.D. Computer Science, Arizona State University 1999 M.S. Computer Science, Arizona State University, 1993 B.S. Computer Science and Applied Mathematics, University at Albany, SUNY, 1989 Research interests Software Architecture and Design, Open Source Software, Agile Methods, Applications in Healthcare (image-guided surgery and mHealth), and e-learning Honors and awards ASU Presidents Award for Innovation, 2011 ARCs Foundation Scholar UPE Honor Society October 7, 2016 Erik Wirtanen Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Kevin Gary Home Directory and Research Directory Faculty Gary, Kevin Associate Professor Kevin Gary joined ASU in 2004 after working in industry and a prior appointment on the faculty of the Catholic University of America. He serves on the program faculty for the undergraduate and graduate degree programs in Software Engineering at ASU. His research interests are in software architecture, agile methods, and open source. He particularly focuses on applications in healthcare and e-learning. In healthcare, he recently spent a year on sabbatical as the Chief Architect in the Sheik Zayed Institute for Pediatric Surgical Innovation at the Childrens National Medical Center in Washington D.C., working on projects in image-guided and robotic surgery, and mobile applications for healthcare (mHealth). In teaching innovation, he created the Software Enterprise, an experiential learning model which blends multiple methods of delivery into one pedagogical model. The Software Enterprise forms the core project spine within the B.S. and M.S. degree programs in Software Engineering at ASU, and in 2011 he was part of team to receive the Presidents Award for Innovation from Dr. Crow. He is engaged in service to the profession and to ASU, reviewing for several established journals, serving on conference program committees, and spending a year as the Associate Chair of computing programs on the Polytechnic Campus. He is a member of IEEE, ACM, and ASEE. kgary@asu.edu 480-727-1373 Peralta 230C Education Ph.D. Computer Science, Arizona State University 1999 M.S. Computer Science, Arizona State University, 1993 B.S. Computer Science and Applied Mathematics, University at Albany, SUNY, 1989 Research interests Software Architecture and Design, Open Source Software, Agile Methods, Applications in Healthcare (image-guided surgery and mHealth), and e-learning Honors and awards ASU Presidents Award for Innovation, 2011 ARCs Foundation Scholar UPE Honor Society October 7, 2016 Erik Wirtanen CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/429.txt b/src/data/compiled_bios/429.txt new file mode 100644 index 0000000000..4bc456bf35 --- /dev/null +++ b/src/data/compiled_bios/429.txt @@ -0,0 +1 @@ +Prof GUAN Cuntai, PhD Professor , Computer Science and Engineering Fellow , IEEE Co-Director , Nanyang Technological University-National Neuroscience Institute NeuroTechnology Fellowship Program School of Computer Science and Engineering http://scse.ntu.edu.sg/Pages/Home.aspx Nanyang Technological University, Singapore www.ntu.edu.sg Email: ctguan@ntu.edu.sg Phone: (65) 6790 6205 Office: N4-02B-52 Home Research Team Publications Patents Updates Vacancies Prof Guan is currently a Professor in the School of Computer Science and Engineering, Nanyang Technological University (NTU), Singapore. Prior to joining NTU, he was the founding Department Head of Neural & Biomedical Technology Department and a Principal Scientist (RSE6) at the Institute for Infocomm Research (I2R), Agency for Science, Technology, and Research (A*SATR), Singapore. He is currently the Co-Director of the NTU-NNI Neurotechnology Fellowship Program. He serves on the Advisory Board of Elite Master Program in Neuroengineering , Technische Universitt Mnchen (TUM), Germany. He is a Member of National Medical Research Council Open Fund IRG Review Panel, MOH, Singapore. He serves as the Chief Scientist of Neeuro Pte Ltd, Singapore. He is a Fellow of IEEE. He serves as an Associate Editor for IEEE Transactions on Biomedical Engineering, Brain-Computer Interfaces, Frontiers in Neuroscience, IEEE Access (2012-2018), A*STAR Research Publication (2013-2016), and Guest-Editor for IEEE Computational Intelligence Magazine (2016). He was in the IEEE Fellow Evaluation Committee for EMBS Society, 2018. He was an APSIPA Distinguished Lecturer, 2017-2018. He served as the General Co-Chair for IEEE ICAA2018, Conference Chair for Internet of Things (IoT) Asia 2015, and General Chair for the IEEE HealthCom 2008. He served as the founding Co-Director of the Rehabilitation Research Institute of Singapore (RRIS), 2015-2018. He served as the A*STAR MedTech Program Leader of Neuro-Technology, 2010-2016. He was the Chair of Neuro-Technology Subpanel and a Member of National Taskforce on Neurological & Sense Disorders, appointed by HBMS EXCO, 2016-2017. He was a Member of A*STAR Biomedical Engineering Program (BEP) Fund Review Panel, 2013-2015. He was a Member of SERC PSF Fund Technical Review Panel, 2014, a Site Miner for A*STAR Biomedical Engineering Program, and a Take-Force Member for the SERC e-Health and BEP Program, 2005-2012, and 2015-2016. He served as the Chairman of IEEE Engineering in Medicine and Biology Chapter, Singapore Section, 2010-2012. He was the President of Pattern Recognition and Machine Intelligence Association (PREMIA), Singapore, 2008-2010. His research interests are in the fields of Brain-Computer Interfaces (BCI), Neural Signal Processing, Neural Image Processing, Machine Learning, Data Analytics, and Artificial Intelligence. He published 320 refereed journal and conference papers and holds 24 granted patents and patent applications. He licensed numerous patents to USA and Singapore-based companies. He secured over $20M competitive research grant in the past few years. As a leading scientist in BCI field, he delivered more than 60 keynote speeches and invited talks (including the keynote, Brain-Computer Interfaces for Stroke Rehabilitation, at the opening ceremony of the 7th International BCI Meeting, Asilomar, USA, May 2018). He is a recipient of the Annual BCI Research Award, the IES Prestigious Engineering Achievement Award, Achiever of the Year (Research) Award, Finalist of President Technology Award, and winner of BCI Competitions. He played a leadership role in establishing medical technology research and development in A*STAR. He was the A*STAR MedTech Program Leader of Neuro-Technology to lead and coordinate the neuro-technology effort at A*STAR. He initiated and co-established the Rehabilitation Research Institute of Singapore (RRIS) an initiative between A*STAR, NTU, and National Health Group. He established medical research at the Institute of Infocomm Research including founding and directing the I2R Brain-Computer Interface Lab, the Neural & Biomedical Technology Department, and two sizeable medical-technology research programs (with a strength of 60-80). Under his leadership, his group licensed technologies to 10 companies, led to 3 start-up companies and 2 spin-off companies. Their licensees raised over $65M fund collectively. Highlights of his research achievements: o Robust Brain-computer Interface algorithms for motor imagery (FBCSP, regularization, session-to-session adaptation, channel selection, etc.) o Asynchronous and adaptive P300 BCI and its use in wheelchair control o fNIRS based Brain-computer interfaces o Brain-computer Interface for stroke rehabilitation with significant clinical outcome o Innovative system for the treatment of Attention Deficit and Hyperactivity Disorders (ADHD) in children with significant efficacy outcome o Effective cognitive training for elderly with MCI or ARCD o Novel use of BCI technologies in, for example, sleep, depression, anxiety Appointments, Committee Members and Editorial Board Members: o Co-Director, Rehabilitation Research Institute of Singapore (RRIS), 2015-2018 o Co-Director, NTU-NNI Neurotechnology Fellowship Program, 2017 - o A*STAR MedTech Program Leader of Neuro-Technology, 2010-2016 o Founding Department Head, Neural and Biomedical Technology, Institute for Infocomm Research, A*STAR, 2012-2016 o Founding Program Manager of AIM and INSPECH, large programs focusing on medical and healthcare research and development, 2007-2012 o Principal Scientist (RSE 6), Institute for Infocomm Research, A*SATR o Department Manager, Institute for Infocomm Research, 2005-2007 o Lab Head, NeuroInformatics , Institute for Infocomm Research, 2003-2004 o Director, Research & Development, InfoTalk Technology Pte Ltd, Singapore, 2001 - 2003 o Research Manager, Lernout & Hauspie Asia Pacific, Singapore, 1999 - 2001 o Chief Scientist, Neeuro Pte Ltd, Singapore, 2017 o Chair, Neuro-Technology Subpanel, and Member of National Taskforce on Neurological & Sense Disorders, appointed by HBMS EXCO, 2016-2017 o Member, National Medical Research Council Open Fund IRG Review Panel, MOH, Singapore, 2016 - o Member, A*STAR Biomedical Engineering Program (BEP) Fund Review Panel, 2013 - 2015 o Member, SERC PSF Fund Technical Review Panel, 2014 o Site Miner for A*STAR Biomedical Engineering Program & Take Force for SERC e-Health Program, 2005-2012, 2015-2016 o Advisory Board, Elite Master Program in Neuroengineering , Technische Universitt Mnchen (TUM), Germany, 2017 - o Chairman, IEEE Engineering in Medicine and Biology Chapter, Singapore Section, 2010-2012 o President, Pattern Recognition and Machine Intelligence Association (PREMIA), Singapore, 2008-2010 o Associate Editor, IEEE Transactions on Biomedical Engineering ( http://tbme.embs.org/ ) o Associate Editor, Brain Computer Interfaces ( http://www.tandfonline.com/loi/tbci20 ) o Associate Editor, Frontiers in Neuroscience ( http://journal.frontiersin.org/journal/neuroscience ) o Associate Editor, IEEE Access ( http://ieeeaccess.ieee.org ) o Associate Editor, A*STAR Research Publication ( http://www.research.a-star.edu.sg/ ) o Guest-Editor, IEEE Computational Intelligence Magazine, 2016 o General Co-Chair, IEEE International Conference on Ageless Ageing, 28-30 Jul, 2018, Singapore o IEEE Fellow Evaluation Committee for EMBS Society, 2018 o Vice-Chair, Program Committee, International Conference on Real-time Functional Imaging and Neurofeedback, 29 Nov -1 Dec 2017, Nara, Japan. o International Program Committee, 8 th IEEE EMBS Conference on Neural Engineering, May 25-28, 2017, Shanghai, China o Program Committee & Invited Speaker, International Winter Conference on Brain-Computer Interface, 2013-2017, Korea o Conference Chair, Internet of Things (IoT) Asia 2015 Conference & Exhibition, 8-9 April 2015, Singapore o General Chair, IEEE 10th International Conference on e-Health Networking, Application & Services, 2008 o International Program Committee, IEEE EMBS Conference on Neural Engineering, 2013-2015 o International Scientific Committee, IEEE EMBS Summer School on Neural Engineering, 2013-2015 o Co-Chair, Emerging Technology, ACM SIGGRAPH ASIA, Nov 2012 o Area Chair, IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2008 Awards and Recognitions: o Elevated to IEEE Fellow, Class of 2018 (Citation: for contributions to brain-computer interfaces and applications ) o APSIPA Distinguished Lecturer, 2017-2018 o Finalist of President Technology Award, Singapore, 2014 (for contributions to BCI technologies and medical applications) o Achiever of the Year (Research) Award, Institute for Infocomm Research, A*STAR, 2011 o The Annual BCI Research Award (Top Winner), USA, 2010 (for contributions to BCI for stroke rehabilitation). o IES Prestigious Engineering Achievement Award, 2009 (for contributions to the development of BCI technology and its applications). o Top winner of International BCI Competition IV, 3 EEG categories, 2008 o Top winner of International BCI Competition III, Dataset IIIa, 2005 o Samsung Digital Hope Award, 2004 (to recognize the development of Brainy Communicator) diff --git a/src/data/compiled_bios/4290.txt b/src/data/compiled_bios/4290.txt new file mode 100644 index 0000000000..9674a6dbbe --- /dev/null +++ b/src/data/compiled_bios/4290.txt @@ -0,0 +1 @@ +Esma Gel Associate Professor Esma Gel received her M.S. and Ph.D. from Northwestern University in 1995 and 1999, respectively. Since joining the Fulton School, Gel has been teaching graduate and undergraduate level courses in the area of operations research and production systems. Her research focuses on the use of applied probability techniques for modeling, design and control of production systems and supply chains, with particular emphasis on workforce engineering. Her work has been published in leading journals and funded by the National Science Foundation as well as industrial partners such as Intel, IBM and Infineon. Gel is a member of INFORMS, IIE and ASEE. esma.gel@asu.edu 480-965 2906 BYENG 318 faculty.engineering.asu.edu/esgel Education Ph.D., Industrial Engineering,Northwestern University, 1999 M.S., Industrial Engineering,Northwestern University, 1995 B.S., Industrial Engineering,Middle East Technical University, Turkey, 1994 Research interests Applied probability, stochastic processes, queuing theory, stochastic modeling and control of manufacturing systems Key activities Associate Editor, Journal of Flexible Services and Manufacturing January 7, 2016 CIDSE Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Gel, Esma Home Gel, Esma Gel, Esma January 17, 2013 CIDSE Leave a Reply Cancel reply Your email address will not be published. Required fields are marked * Name * Email * Website CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU Menu Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Graduate Health Solutions Honors Journalism Law Nursing and Health Innovation Public Service and Community Solutions Sustainability University College New: Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Thunderbird Skysong Research Park Washington D.C. China Directory Search Search Engineering ASU Search Engineering ASU Esma S. Gel Menu Skip to content Home Publications Research Projects Teaching About Associate Professor Esma Gel received her M.S. and Ph.D. from Northwestern University in 1995 and 1999, respectively. Since joining the Fulton Schools, Gel has been teaching graduate and undergraduate level courses in the area of operations research and production systems. Her research focuses on the design, control and management of operations in various settings, with emphasis on manufacturing and supply chain systems, business and logistics processes, and health care systems. Her work has been published in leading journals and funded by the National Science Foundation, as well as industrial partners such as Inteland the Mayo Clinic. Gel is an active member of INFORMS, IIE and ASEE. esma (dot) gel (at) asu (dot) edu 480-965 2906 Brickyard Engineering Building, BYENG 318 [map] Education Ph.D., Industrial Engineering,Northwestern University, 1999 M.S., Industrial Engineering,Northwestern University, 1995 B.S., Industrial Engineering,Middle East Technical University, Turkey, 1994 Research interests Design, control and management of operations in various settings, with emphasis onmanufacturing and supply chain systems, business and logistics processes, and health care systems. Her recent work has been on airline revenue management, modeling and optimization of healthcare delivery systems, analysis of medical decision making problems, project portfolio optimization, statistical modeling for improving educational effectiveness and bioinformatics. Key activities Program Chair, Industrial Engineering, School of Computing, Informatics and Decisions Systems Engineering, (2011-present) Chair of Deans Executive Committee (October 2015-present) Member of Deans Executive Committee (August 2011-present) Vice President of Sections and Societies, Member of Board of Directors, INFORMS (January 2014-present) Associate Editor,OMEGA The International Journal of Management Science Proudly powered by WordPress Copyright & Trademark Accessibility Privacy jobs@asu Emergency Contact ASU contact engineering Ira A. Fulton Schools of Engineering Arizona State University | P.O. Box 9309 | Tempe, AZ 85287-9309 Brickyard 6th Floor | link to map Engineering Administration: 480-965-1730 Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Esma Gel Home Directory and Research Directory Faculty Gel, Esma Associate Professor Esma Gel received her M.S. and Ph.D. from Northwestern University in 1995 and 1999, respectively. Since joining the Fulton School, Gel has been teaching graduate and undergraduate level courses in the area of operations research and production systems. Her research focuses on the use of applied probability techniques for modeling, design and control of production systems and supply chains, with particular emphasis on workforce engineering. Her work has been published in leading journals and funded by the National Science Foundation as well as industrial partners such as Intel, IBM and Infineon. Gel is a member of INFORMS, IIE and ASEE. esma.gel@asu.edu 480-965 2906 BYENG 318 faculty.engineering.asu.edu/esgel Education Ph.D., Industrial Engineering,Northwestern University, 1999 M.S., Industrial Engineering,Northwestern University, 1995 B.S., Industrial Engineering,Middle East Technical University, Turkey, 1994 Research interests Applied probability, stochastic processes, queuing theory, stochastic modeling and control of manufacturing systems Key activities Associate Editor, Journal of Flexible Services and Manufacturing January 7, 2016 CIDSE CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4291.txt b/src/data/compiled_bios/4291.txt new file mode 100644 index 0000000000..af3c2db7d2 --- /dev/null +++ b/src/data/compiled_bios/4291.txt @@ -0,0 +1 @@ +Stephanie Gil Stephanie Gil develops communication-aware controllers for multi-robot systems that optimize reliability, robustness, and security of multi-robot systems. She emphasizes applying her work to real systems from flying drones to ground robots. sgil@asu.edu Education Ph.D., Massachusetts Institute of Technology, 2014 M.S., Massachusetts Institute of Technology, 2008 B.S., Cornell University, 2006 Research Interests Coordination and control of multi-robot systems with an emphasis on communication problems for these systems June 1, 2018 Erik Wirtanen Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Stephanie Gil Home Directory and Research Directory Faculty Gil, Stephanie Stephanie Gil develops communication-aware controllers for multi-robot systems that optimize reliability, robustness, and security of multi-robot systems. She emphasizes applying her work to real systems from flying drones to ground robots. sgil@asu.edu Education Ph.D., Massachusetts Institute of Technology, 2014 M.S., Massachusetts Institute of Technology, 2008 B.S., Cornell University, 2006 Research Interests Coordination and control of multi-robot systems with an emphasis on communication problems for these systems June 1, 2018 Erik Wirtanen CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4292.txt b/src/data/compiled_bios/4292.txt new file mode 100644 index 0000000000..6c09e213f7 --- /dev/null +++ b/src/data/compiled_bios/4292.txt @@ -0,0 +1 @@ +Javier Gonzalez-Sanchez Javier Gonzalez-Sanchezs primary research interests lie in developing and advancing development approaches for affect-aware and affect-driven self-adaptive systems, as well as prototyping intelligent tutoring systems and augmented reality applications. He collaborates with the Motivational Environment Group, under the supervision of Dr. Winslow Burleson, and with the Advancing Next Generation Learning Environments Lab, under the supervision of Dr. Robert Atkinson. He also collaborated with the Affective Meta Tutor Group, under the supervision of Dr. Kurt VanLehn. Prior to joining Arizona State University, Javier was a teaching professor at Tecnolgico de Monterrey (Mexico), where he taught undergraduate courses related to software architecture, software engineering, web development, and programming. He was also an adjunct professor at Universidad de Guadalajara (Mexico) in the Masters in Applied Computing program and the Masters in Information Technologies program. He has been a tutorial speaker at the ACM OOPSLA/SPLASH conference in 2008, 2009, and 2010; at the ITS conference in 2010; at the IEEE ICALT conference in 2011; and at the ACM CHI conference in 2012. As a practitioner, he has worked as project manager, software engineer, consultant, and developer. Within the business field, he has participated as CTO in two startup companies. In 2014, Javier was granted the ACM Senior Member Award which recognizes ACM members with at least 10 years of professional experience who have demonstrated performance that sets them apart from their peers. javiergs@asu.edu http://www.javiergs.com linkedin.com/in/javiergs Education M.S., Computer Science, Center for Research and Advanced Studies of the National Polytechnic Institute, Mxico1999 B.S., Computer Engineering (Summa Cum Laude), Universidad de Guadalajara, Guadalajara, Mxico 1997 Ph.D., Computer Science, Arizona State University, 2016 Research interests Software engineering, human-computer interaction March 24, 2017 CIDSE Skip to content About me Presentations Publications Service Teaching Collaboration Presentations Publications Teaching Timeline Main Menu Principles of Programming Human-Computer Interaction Software Agility Introduction to Programming Languages Advanced Graphics ADAS Textbook Affect Measurement Awards 2018 Summer Faculty Fellowship Program in Israel April 16, 2018 January 26, 2019 javiergs New York, NY: April 9, 2018 Twenty-three professors from universities and colleges across the U.S. will soon experience a once-in-a-lifetime and insightful [...] Love of Learning Award December 15, 2017 March 10, 2018 IEEE Senior Member August 31, 2017 September 19, 2018 Graduation December 12, 2016 March 7, 2018 ICSE 2016 Video Competition May 30, 2015 March 8, 2018 Research News Towards Embedding a Tutoring Companion in the Eclipse Integrated Development Environment June 27, 2018 January 26, 2019 javiergs Our paper was accepted to ITS 2018. Abstract Programmers use Integrated Development Environments (IDEs) to write and test software, and students use them [...] Including Affect-Driven Adaptation to the Pac-Man Video Game July 9, 2014 April 12, 2018 Multimodal Detection of Affective States: A Roadmap Through Diverse Technologies April 29, 2014 November 12, 2018 Multimodal Affect Recognition in Virtual Worlds: Avatars Mirroring Users Affect September 4, 2013 September 20, 2018 Contact Tags acm (7) affect-driven self-adaptation (11) aied (3) asu (68) bvs (3) c/c++ (4) chi (2) cinvestav (4) computer graphics (2) cse (10) databases (2) data mining (2) elsevier (2) games (2) gis (4) hci (38) humor (5) ibm (2) icse (2) ieee (8) igi-global (2) imagine cup (3) internet2 (5) iOS (13) itesm (39) its (17) java (10) learning sciences (6) lego robot (5) microsoft (3) motion capture (3) oopsla (9) parallelism (3) patterns (12) plop (3) programming (19) rup (3) software architecture (12) software engineering (14) software testing (4) springer (7) udg (10) uml (3) videos (4) web (9) Categories Categories Select Category about me awards blogging collaboration practitioner presentations posters short talks speaker tutorials publications book chapters journals magazines papers translated books service committees curriculum design reviewer thesis-committee volunteer student teaching graduate courses undergraduate courses Featured Video Javier Gonzalez-Sanchez :: 2019 Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Javier Gonzalez-Sanchez Home Directory and Research Directory Ph.D. Students Gonzalez-Sanchez, Javier Javier Gonzalez-Sanchezs primary research interests lie in developing and advancing development approaches for affect-aware and affect-driven self-adaptive systems, as well as prototyping intelligent tutoring systems and augmented reality applications. He collaborates with the Motivational Environment Group , under the supervision of Dr. Winslow Burleson, and with the Advancing Next Generation Learning Environments Lab , under the supervision of Dr. Robert Atkinson. He also collaborated with the Affective Meta Tutor Group , under the supervision of Dr. Kurt VanLehn. Prior to joining Arizona State University, Javier was a teaching professor at Tecnolgico de Monterrey (Mexico), where he taught undergraduate courses related to software architecture, software engineering, web development, and programming. He was also an adjunct professor at Universidad de Guadalajara (Mexico) in the Masters in Applied Computing program and the Masters in Information Technologies program. He has been a tutorial speaker at the ACM OOPSLA/SPLASH conference in 2008, 2009, and 2010; at the ITS conference in 2010; at the IEEE ICALT conference in 2011; and at the ACM CHI conference in 2012. As a practitioner, he has worked as project manager, software engineer, consultant, and developer. Within the business field, he has participated as CTO in two startup companies. In 2014, Javier was granted the ACM Senior Member Award which recognizes ACM members with at least 10 years of professional experience who have demonstrated performance that sets them apart from their peers. javiergs@asu.edu http://www.javiergs.com linkedin.com/in/javiergs Education M.S., Computer Science, Center for Research and Advanced Studies of the National Polytechnic Institute, Mxico1999 B.S., Computer Engineering (Summa Cum Laude), Universidad de Guadalajara, Guadalajara, Mxico 1997 Ph.D., Computer Science, Arizona State University, 2016 Research interests Software engineering, human-computer interaction March 24, 2017 CIDSE CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4293.txt b/src/data/compiled_bios/4293.txt new file mode 100644 index 0000000000..1fc8dd6f02 --- /dev/null +++ b/src/data/compiled_bios/4293.txt @@ -0,0 +1 @@ +Jeffrey Goss, Professor of Practice Professor of Practice Jeffrey Gosshas served as the Executive Director for the Office of Global Outreach and ExtendedEducation and Assistant Dean in the Ira A Fulton Schools of Engineering at Arizona State University forthe past seven years. Jeffrey.Goss@asu.edu 480-965-5466 BYENG 640 Education B.S., Public Relations and Management, Central Michigan University (Mt. Pleasant,MI) M.A., Higher Education Administration, George Washington University (Washington, DC) Research Interests Global workforce development learning models, development and application of new technologies, distributed-media models for adult learning. Mr. Goss has more than 18 years experience in professional and executive education collectively atUniversity of Maryland, George Washington University, University of Michigan, and Arizona StateUniversity. At ASUs Fulton School of Engineering, Mr. Goss leads Global Engagement, ASUEngineering Online graduate degree programs, and Executive/Professional Development programs. Hisresearch areas include global workforce development learning models and the development andapplication of new technologies and distributed-media models for adult learning. Since 2010, Mr. Goss has been the Principal Investigator/Project Director for the Higher EngineeringEducation Alliance Program (HEEAP), focused on modernization and transformation of teaching andlearning in undergraduate engineering programs in Vietnam. In this role he has worked in both Vietnamand the United States on faculty and curriculum development to advance Vietnams economic growth. Hehas strong relationships with senior officials in the Ministry of Education and Training and the Ministryof Industry, Invalids and Social Affairs, as well as leaders of the high-tech industry in Vietnam. Mr. Gossalso has extensive experience in the administration of sub-agreements. Under an existing project fundedby USAID and Intel, Mr. Goss has partnered with five major universities in Vietnam to prepare faculty toexcel in teaching students to attain technical expertise, English, and the soft skills and competencies tosucceed on a global engineering stage. He received his BS in Public Relations and Management from Central Michigan University (Mt. Pleasant,MI) and Master of Arts Degree in Higher Education Administration from George Washington University (Washington, DC).Under Mr. Goss direction, thousands of global engineering professionals from various corporateorganizations have advanced their companies and employees careers with training through executiveseminars, certifications, short courses and media distributed graduate degree programs. March 2, 2017 CIDSE Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Jeffrey Goss, Professor of Practice Home Directory and Research Directory Faculty Goss, Jeffrey Professor of Practice Jeffrey Gosshas served as the Executive Director for the Office of Global Outreach and ExtendedEducation and Assistant Dean in the Ira A Fulton Schools of Engineering at Arizona State University forthe past seven years. Jeffrey.Goss@asu.edu 480-965-5466 BYENG 640 Education B.S., Public Relations and Management, Central Michigan University (Mt. Pleasant,MI) M.A., Higher Education Administration, George Washington University (Washington, DC) Research Interests Global workforce development learning models, development and application of new technologies, distributed-media models for adult learning. Mr. Goss has more than 18 years experience in professional and executive education collectively atUniversity of Maryland, George Washington University, University of Michigan, and Arizona StateUniversity. At ASUs Fulton School of Engineering, Mr. Goss leads Global Engagement, ASUEngineering Online graduate degree programs, and Executive/Professional Development programs. Hisresearch areas include global workforce development learning models and the development andapplication of new technologies and distributed-media models for adult learning. Since 2010, Mr. Goss has been the Principal Investigator/Project Director for the Higher EngineeringEducation Alliance Program (HEEAP), focused on modernization and transformation of teaching andlearning in undergraduate engineering programs in Vietnam. In this role he has worked in both Vietnamand the United States on faculty and curriculum development to advance Vietnams economic growth. Hehas strong relationships with senior officials in the Ministry of Education and Training and the Ministryof Industry, Invalids and Social Affairs, as well as leaders of the high-tech industry in Vietnam. Mr. Gossalso has extensive experience in the administration of sub-agreements. Under an existing project fundedby USAID and Intel, Mr. Goss has partnered with five major universities in Vietnam to prepare faculty toexcel in teaching students to attain technical expertise, English, and the soft skills and competencies tosucceed on a global engineering stage. He received his BS in Public Relations and Management from Central Michigan University (Mt. Pleasant,MI) and Master of Arts Degree in Higher Education Administration from George Washington University (Washington, DC).Under Mr. Goss direction, thousands of global engineering professionals from various corporateorganizations have advanced their companies and employees careers with training through executiveseminars, certifications, short courses and media distributed graduate degree programs. March 2, 2017 CIDSE CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4294.txt b/src/data/compiled_bios/4294.txt new file mode 100644 index 0000000000..82d7b6e82d --- /dev/null +++ b/src/data/compiled_bios/4294.txt @@ -0,0 +1 @@ +Sandeep Gupta School Director and Professor Sandeep K. S. Gupta joined ASU in 2001. Prior to joining ASU, he held academic positions at Colorado State University (1996-2000), Duke University (1995), and Ohio University (1995-1996). Guptas research interests include mobile and pervasive computing (location management, data caching, context-aware computing, and middleware), wireless sensor networking (energy-efficient and reliable data dissemination and aggregation protocols, security, and biomedical applications), and parallel and distributed computing (thermal-aware task allocation, multicast and broadcast protocols, and energy-efficient self-stabilizing protocols). sandeep.gupta@asu.edu 480-965-3806 BYENG 522 Education Ph.D., Computer Science, Ohio State University, 1995 Research interests Wireless networks, mobile and ubiquitous/pervasive computing, embedded sensor networks for biomedical applications, parallel anddistributed computing Honors and awards Best Paper Award in 4th Intl Conf. on Intelligent Sensingand Information Processing, 2006 Best Researcher Award, Senior Faculty,(SCIDSE) 2009 Key activities TPC chair for Third Intl Conf. on Body Area Networks (BodyNets 2008) Editorial Board Member of IEEE Communication Letters TPC Co-chair of GreenCom 2007 January 11, 2018 CIDSE Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Sandeep Gupta Home Directory and Research Directory Faculty Gupta, Sandeep School Director and Professor Sandeep K. S. Gupta joined ASU in 2001. Prior to joining ASU, he held academic positions at Colorado State University (1996-2000), Duke University (1995), and Ohio University (1995-1996). Guptas research interests include mobile and pervasive computing (location management, data caching, context-aware computing, and middleware), wireless sensor networking (energy-efficient and reliable data dissemination and aggregation protocols, security, and biomedical applications), and parallel and distributed computing (thermal-aware task allocation, multicast and broadcast protocols, and energy-efficient self-stabilizing protocols). sandeep.gupta@asu.edu 480-965-3806 BYENG 522 Education Ph.D., Computer Science, Ohio State University, 1995 Research interests Wireless networks, mobile and ubiquitous/pervasive computing, embedded sensor networks for biomedical applications, parallel anddistributed computing Honors and awards Best Paper Award in 4th Intl Conf. on Intelligent Sensingand Information Processing, 2006 Best Researcher Award, Senior Faculty,(SCIDSE) 2009 Key activities TPC chair for Third Intl Conf. on Body Area Networks (BodyNets 2008) Editorial Board Member of IEEE Communication Letters TPC Co-chair of GreenCom 2007 January 11, 2018 CIDSE CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4295.txt b/src/data/compiled_bios/4295.txt new file mode 100644 index 0000000000..f1df0f203a --- /dev/null +++ b/src/data/compiled_bios/4295.txt @@ -0,0 +1 @@ +Dianne Hansford Dianne.Hansford@asu.edu 480-703-0263 BYENG 346 Education Ph.D., Computer Science, Arizona State University, 1991 M.S., Computer Science, Arizona State University, 1988 B.S., Mathematics, University of Utah, 1986 Research Interests My research interests are in the fields of geometric modeling and scientific visualization. The focus of my work has been on industrial curve and surface applications related to mathematical definitions of shape. The three books that I have co-authored demonstrate my dedication to sharing my knowledge and passion for mathematics, geometric modeling, and scientific visualization. February 8, 2017 Erik Wirtanen Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Dianne Hansford Home Directory and Research Directory Faculty Hansford, Dianne Dianne.Hansford@asu.edu 480-703-0263 BYENG 346 Education Ph.D., Computer Science, Arizona State University, 1991 M.S., Computer Science, Arizona State University, 1988 B.S., Mathematics, University of Utah, 1986 Research Interests My research interests are in the fields of geometric modeling and scientific visualization. The focus of my work has been on industrial curve and surface applications related to mathematical definitions of shape. The three books that I have co-authored demonstrate my dedication to sharing my knowledge and passion for mathematics, geometric modeling, and scientific visualization. February 8, 2017 Erik Wirtanen CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4296.txt b/src/data/compiled_bios/4296.txt new file mode 100644 index 0000000000..9e08a38456 --- /dev/null +++ b/src/data/compiled_bios/4296.txt @@ -0,0 +1 @@ +Jingrui He Jingrui He is an assistant professor in the School of Computing, Informatics, and Decision Systems Engineering at Arizona State University. She received her Ph.D. from Carnegie Mellon University. She joined ASU in 2014 and directs the Statistical Learning Lab (STAR Lab). Her research focuses on rare category analysis, heterogeneous machine learning, active learning and semi-supervised learning, with applications in social media analysis, healthcare, manufacturing process, etc. She is the recipient of the NSF CAREER Award in 2016, the IBM Faculty Award in 2015 and 2014 respectively and the IBM Fellowship in 2009 and 2008 respectively. She has published more than 60 peer reviewed articles, and is the author of the book on Analysis of Rare Categories by Springer. jingrui.he@asu.edu 480-965-5013 BYENG 410 faculty.engineering.asu.edu/jingruihe Education Ph.D., Machine Learning, Carnegie Melon University, 2010 M.Sc., Machine Learning, Carnegie Melon University, 2008 M.Eng., Pattern Recognition and Intelligent System, Tsinghua University, 2005 B.Eng., Automation Technology, Tsinghua University, 2002 Research interests Heterogeneous machine learning, rare category analysis, active learning and semi-supervised learning, with applications in social network analysis, semiconductor manufacturing, traffic analysis, medical informatics, etc. Honors and awards 2009, 2008: IBM Fellowship Key activities Publicity Chair for ICML 2015. Senior Program Committee for SDM 2015. Program Committee for WSDM 2015. Publicity Chair for ICML 2014. Program Co-Chair for SDM 2014 Workshop on Heterogeneous Learning. Chair for IEEE BigData 2014 Doctoral Consortium. Program Committee for ICML 2014, KDD 2014, ICDM 2014, SDM 2014, PAKDD 2014. Reviewer for NIPS 2014. January 25, 2017 Erik Wirtanen Menu Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Graduate Health Solutions Honors Journalism Law Nursing and Health Innovation Public Service and Community Solutions Sustainability University College New: Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Thunderbird Skysong Research Park Washington D.C. China Directory Search Search Engineering ASU Search Engineering ASU Welcome to Dr. Jingrui Hes Homepage Menu Skip to content Home Publication STAR Lab People Projects Analysis of Rare Categories Heterogeneous Learning Outreach Activities Recruiting Jingrui He Associate Professor Computer Science and Engineering, CIDSE Arizona State University Office: Brickyard Engineering (BYENG) 410 699 S. Mill Ave. Tempe, AZ 85281 Phone: 480-727-1835 Email : jingrui.he@asu.edu Research Interests Heterogeneous machine learning, rare category analysis, active learning and semi-supervised learning, with applications in social network analysis, healthcare, manufacturing, etc. Heres my CV , and my research statement . Honors and awards 2018: Invited to showcase our work at 24th Capitol Hill Science Exhibition 2017:IJCAI 2017 Early Career Spotlight 2016: Bests of ICDM 2016 2016:NSF CAREER Award 2015: IBM Faculty Award 2014: IBM Faculty Award 2010: IEEE ICDM 2010 Contest on Traffic Prediction for Intelligent GPS Navigation Task 2 (Jams): Runner-up; Task 3 (GPS): Runner-up 2010: Bests of ICDM 2010 2010: Bests of SDM 2010 2009, 2008: IBM Fellowship News! [Aug, 2017] I will give 1 keynote talk, 1 invited talk, and 1 tutorial at IJCAI 2017 . [Jun, 2017] 1 paper accepted at TKDE, 1 paper accepted at TVCG, 1 paper accepted at KAIS. [Jun, 2017] I will serve on the Senior Program Committee for AAAI 2018. [May, 2017] 3 papers accepted at KDD 2017 . [Dec, 2016] Selected as Early Career Spotlight at IJCAI 2017 . [Dec, 2016] 4 papers accepted at SDM 2017 . [Dec, 2016] ICDM 2016 paper selected as bests of ICDM 2016 . [Dec, 2016] I will serve on the Senior Program Committee for KDD 2017 . [Aug, 2016] 3 papers accepted at ICDM 2016 . [Dec, 2015] Received NSF CAREER Award . Heres the ASU news . [Dec, 2015] I will serve on the Senior Program Committee for IJCAI 2016, and Sponsorship Co-Chair for ICDM 2016. [Dec, 2015] I am invited to be a mentor at 2016 AAAI Doctoral Consortium . [Sep, 2015] Received IBM Faculty Award . Thank you again, IBM! [Aug, 2015] 3 papers and 1 demo accepted at ICDM 2015 . [July, 2015] I will give a keynote speech on heterogeneous learning at BigMine-15 (co-located with KDD 2015). [July, 2015] 1 paper accepted at CIKM 2015 . [May, 2015] I will co-organize AAAI 2016 Open House in Phoenix. Stay tuned! [May, 2015] 2 papers accepted at KDD 2015 . [May, 2015] I will serve as the Poster Chair for ICDM 2015. [April, 2015] 1 paper accepted at IJCAI 2015 . [December, 2014] Received IBM Faculty Award . Thank you, IBM! [December, 2014] 2 papers accepted at SDM 2015 . [October, 2014] I will serve on the Senior Program Committee for IJCAI 2015. [August, 2014] I have joined CIDSE@ASU . [July, 2014] I will serve on the Senior Program Committee for SDM 2015. Copyright & Trademark Accessibility Privacy jobs@asu Emergency Contact ASU contact engineering Ira A. Fulton Schools of Engineering Arizona State University | P.O. Box 9309 | Tempe, AZ 85287-9309 Brickyard 6th Floor | link to map Engineering Administration: 480-965-1730 Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Jingrui He Home Directory and Research Directory Faculty He, Jingrui Jingrui He is an assistant professor in the School of Computing, Informatics, and Decision Systems Engineering at Arizona State University. She received her Ph.D. from Carnegie Mellon University. She joined ASU in 2014 and directs the Statistical Learning Lab (STAR Lab). Her research focuses on rare category analysis, heterogeneous machine learning, active learning and semi-supervised learning, with applications in social media analysis, healthcare, manufacturing process, etc. She is the recipient of the NSF CAREER Award in 2016, the IBM Faculty Award in 2015 and 2014 respectively and the IBM Fellowship in 2009 and 2008 respectively. She has published more than 60 peer reviewed articles, and is the author of the book on Analysis of Rare Categories by Springer. jingrui.he@asu.edu 480-965-5013 BYENG 410 faculty.engineering.asu.edu/jingruihe Education Ph.D., Machine Learning, Carnegie Melon University, 2010 M.Sc., Machine Learning, Carnegie Melon University, 2008 M.Eng., Pattern Recognition and Intelligent System, Tsinghua University, 2005 B.Eng., Automation Technology, Tsinghua University, 2002 Research interests Heterogeneous machine learning, rare category analysis, active learning and semi-supervised learning, with applications in social network analysis, semiconductor manufacturing, traffic analysis, medical informatics, etc. Honors and awards 2009, 2008: IBM Fellowship Key activities Publicity Chair for ICML 2015. Senior Program Committee for SDM 2015. Program Committee for WSDM 2015. Publicity Chair for ICML 2014. Program Co-Chair for SDM 2014 Workshop on Heterogeneous Learning. Chair for IEEE BigData 2014 Doctoral Consortium. Program Committee for ICML 2014, KDD 2014, ICDM 2014, SDM 2014, PAKDD 2014. Reviewer for NIPS 2014. January 25, 2017 Erik Wirtanen CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4297.txt b/src/data/compiled_bios/4297.txt new file mode 100644 index 0000000000..5ed769d027 --- /dev/null +++ b/src/data/compiled_bios/4297.txt @@ -0,0 +1 @@ +Robert Heinrichs Lecturer Robert.Heinrichs@asu.edu October 23, 2017 Erik Wirtanen Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Robert Heinrichs Home Directory and Research Directory Faculty Heinrichs, Robert Lecturer Robert.Heinrichs@asu.edu October 23, 2017 Erik Wirtanen CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4298.txt b/src/data/compiled_bios/4298.txt new file mode 100644 index 0000000000..cff2640b2c --- /dev/null +++ b/src/data/compiled_bios/4298.txt @@ -0,0 +1 @@ +Sharon Hsiao Assistant Professor Sharon Hsiao joined Arizona State University in 2014. Her research focuses on adaptive technology, personalized learning, interactive educational systems. Prior to ASU, Hsiao was an adjunct assistant professor at Columbia University. She established several research projects and taught a graduate level course Data Visualization. She completed her postdoctoral study in Columbia University. She earns her Ph.D. in School of Information Sciences, University of Pittsburgh. Sharon.Hsiao@asu.edu 480-727-5466 BYENG M1-08 Education Ph.D., Information Science, University of Pittsburgh, 2012 M.Sc., Business Information Systems, University of London, 2004 B.A., Management Information Systems, National Central University, 2003 Research interests Adaptive technology, personalized learning, interactive educational systems September 17, 2014 Erik Wirtanen Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Sharon Hsiao Home Directory and Research Directory Faculty Hsiao, Sharon Assistant Professor Sharon Hsiao joined Arizona State University in 2014. Her research focuses on adaptive technology, personalized learning, interactive educational systems. Prior to ASU, Hsiao was an adjunct assistant professor at Columbia University. She established several research projects and taught a graduate level course Data Visualization. She completed her postdoctoral study in Columbia University. She earns her Ph.D. in School of Information Sciences, University of Pittsburgh. Sharon.Hsiao@asu.edu 480-727-5466 BYENG M1-08 Education Ph.D., Information Science, University of Pittsburgh, 2012 M.Sc., Business Information Systems, University of London, 2004 B.A., Management Information Systems, National Central University, 2003 Research interests Adaptive technology, personalized learning, interactive educational systems September 17, 2014 Erik Wirtanen CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4299.txt b/src/data/compiled_bios/4299.txt new file mode 100644 index 0000000000..ec5b3da5a9 --- /dev/null +++ b/src/data/compiled_bios/4299.txt @@ -0,0 +1 @@ +Dijiang Huang Associate Professor Dijiang Huang has been at ASU since 2005. Graduate Program Chair, Computer Science dijiang@asu.edu 480-965-2776 BYENG 470 www.public.asu.edu/~dhuang8/ Education Ph.D., Telecommunications and Computer Networking, University of Missouri Kansas City, 2004 M.S., Computer Science,University of Missouri Kansas City, 2001 B.E., Telecommunications,Beijing University of Posts and Telecommunications, 1995 Research interests His main research interests are in key management, intrusion detection, attacks analysis, computer network security, ad hoc/sensor network security, and mobile cloud computing. Honors and awards Visiting Erskine Fellowship, University of Canterbury, New Zealand, July-August, 2013 JSPS (Japan Society for the Promotion of Science) Fellowship, April-June, 2013 Conservatoire National des Arts et Metiers (CNAM) visiting scholar fellowship, June 2011, June-July 2012 HP Inovation Research Program (IRP) Award, 2011, 2012 Office of Naval Research (ONR) Young Investigator Award, 2010 International Conference on Mobile Computing and Ubiquitous Networking (ICMU), Best paper award, 2008 Key activities Guest Editor, Special Issue onReliable and Secure VANETs,IEEE Transaction on Dependable and Secure Computing, 2014. Editor,IEEE Communications Surveys & Tutorials, 2011- now Associate Editor,Journal of Network & Systems Management (JNSM), 2010- now Guest Editor ofSpecial Issue on Cloud Computing, Networking, and Services (CCNS) Management, Journal of Network & Systems Management (JNSM), 2010 IEEE Internet Technical Committee, Cloud Communications SIG, 2012- Present IEEE ComSoc Smart Grid Communications Committee (SGCC), 2010 present IEEE Cloud Communications & Networking Ad Hoc Committee, 2012 present TPC co-chair,IEEE MobileCloud, Oxford, UK,April 11-13, 2014 TPC co-chair,Sigcomm MCC: Mobile Cloud Computing workshop, Hong Kong, China, August 12, 2013 TPC Co-chair for Information Security Symposium (ICC) 2010 January 7, 2016 CIDSE Dijiang Huang , PhD Associate Professor of Computer Science and Engineering Fulton Entrepreneurial Professor School of Computing, Informatics and Decision Systems Engineering Ira A. Fulton Schools of Engineering , Arizona State University Dr. Huang received his Bachelor of Science degree in Telecommunications from Beijing University of Posts & Telecommunications, China. He received his Master of Science and PhD degrees from University of Missouri-Kansas City majored in Computer Science and Telecommunications. He is currently an associate professor in the School of Computing Informatics and Decision Systems Engineering. His research interests are in computer and network security, mobile ad hoc networks, network virtualization, and mobile cloud computing. Dr. Huang's research is supported by federal agencies NSF, ONR, ARO, and NATO, and organizations such as Consortium of Embedded System (CES), Kern Family Foundation, Hewlett-Packard, and China Mobile. He is a recipient of ONR Young Investigator Award and HP Innovation Research Program (IRP) Award. He is a co-founder of Athena Network Solutions LLC (ATHENETS) and CyNET LLC. He is currently leading the Secure Networking and Computing (SNAC) research group at ASU. Office: BYENG 470 Phone: (480) 965-2776 FAX: (480) 965-2751 699 S. Mill Avenue Tempe, AZ 85281 Email: dijiang((at))asu((DOT))edu News and Posts of 2019 Prospected Students I am looking for highly motivated graduate students in the areas of cryptography , computer networking, and cybersecurity. If you are interested, please send me your resume. Please review my mentoring phylosophy ( here ) before contacting me. Congratulations to Dr. Adel Alshamrani for completing his PhD study at ASU. He will join University of Jeddah, Saudi Aribia as an Assistant Professor in December of 2018; Abdulhakim Sabur and Fanjie Lin for passing their MS thesis defenses. Mobile Cloud Computing: Foundations and Service Models -- by Dijiang Huang and Huijun Wu Publisher -- Morgan Kaufmann Publishers (An imprint of Elsevier Science). Book website , Amazon website It was ranked by BookAuthority: one of best new cloud computing eBooks to read in 2018! ( check here ) Software-Defined Networking and Security: From Theory to Practice -- by Dijiang Huang, Ankur Chowdhary, and Sandeep Pisharody Publisher -- CRC Press. Book website , Amazon website It was published in Dec, 2018. SNAC ( Secure Networking And Computing ) Research Group : Recent Publications ( Full list of publications and research projects, go to ) Yuli Deng, Duo Lu, Dijiang Huang, Chun-Jen Chung, and Fanjie Lin, Knowledge Graph based Learning Guidance for Cybersecurity Hands-on Labs in Proceedings of ACM Global Computing Education Conference (CompEd), May 2019. Ankur Chowdhary, Sailik Sengupta, Dijiang Huang and Subbarao Kambhampati, Markov Game Modeling of Moving Target Defense for Strategic Detection of Threats in Cloud Networks, in Proceedings of the AAAI-19 Workshop on Artificial Intelligence for Cyber Security (AICS), 2019. Dijiang Huang, Chun-Jen Chung, Qiuxiang Dong, Jim Lou, Myong Kang, Building Private Blockchains over Public Blockchains (PoP): An Attribute-Based Access Control Approach, in Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing (SAC), DAPP - Decentralized Applications with Blockchain, DLT and Crypto-Currencies, 2019. Ankur Chowdhary, Adel Alshamrani, and Dijiang Huang, SUPC: SDN enabled Universal Policy Checking in Cloud Network, In proceedings of International Conference on Computing, Networking and Communications (ICNC): Communications and Information Security Symposium - Communications and Information Security, 2019 Ankur Chowdhary and Dijiang Huang, SDN based Network Function Parallelism in Cloud, In proceedings of International Conference on Computing, Networking and Communications (ICNC): Communications and Information Security Symposium - Communications and Information Security, 2019. Ankur Chowdhary, Sailik Sengupta, Adel Alshamrani, Dijiang Huang, and Abdulhakim Sabur, Adaptive MTD Security using Markov Game Modeling, In proceedings of International Conference on Computing, Networking and Communications (ICNC): Communications and Information Security Symposium - Communications and Information Security, 2019 Yan Zhu, Guohua Gan, Ruiqi Guo, and Dijiang Huang, "PHE: An Efficient Tracing and Revoking for Traitors in Cloud File Syncing-and-Sharing", IEEE Transactions on Cloud Computing, Volume 6, Issue 4, Pages 1110-1124, Oct-Dec, 2018. Safaa Mahrach, Iman EL MIR, Abdelkrim HAQIQ, Dijiang Huang, SDN-based SYN Flooding Defense in Cloud, Journal of Information Assurance & Security, Vol. 13, Issue 1, pages 30-39, 2018. Sailik Sengupta, Ankur Chowdhary, Dijiang Huang, and Subbarao Kambhampati, Moving Target Defense for the Placement of Intrusion Detection Systems in the Cloud, in Proceedings of GameSec, 2018. Adel Alshamrani, Ankur Chowdhary, Dijiang Huang, Sowmya Myneni, and Qussama Mjihil, Combining Dynamic and Static Attack Information for Attack Tracing and Event Correlation, in proceedings of IEEE Globalcom, Communication Information and System Security (CISS) Symposium, 2018. Jim Luo, Qiuxiang Dong, Dijiang Huang, and Myong Kang, Attribute Based Encryption for Information Sharing on Tactical Mobile Networks, IEEE Milcom 2018. Mirza M. S. Maswood, Md M. I. Mamun, Dijiang Huang, and Deep Medhi, A Sliding Window Based Monitoring Scheme to Detect and Prevent DDoS Attack in Data Center Networks in a Dynamic Traffic Environment, in proceedings of 39th Sarnoof Symposium, 2018 Yuli Deng, Duo Lu, Chun-Jen Chung, Dijiang Huang, and Zhen Zeng, Personalized Learning in a Virtual Hands-on Lab Platform for Computer Science Education, in proceedings of IEEE Frontiers in Education Conference (FIE), 2018 Zhen Zeng, Yuli Deng, IHan Hsiao, Dijiang Huang, and Chun-Jen Chung, Improving student learning performance in a virtual hands-on lab system in cybersecurity education, in proceedings of IEEE Frontiers in Education Conference (FIE), 2018 Qiuxiang Dong,Dijiang Huang, Jim Luo, Myong Kang, "Achieving Fine-Grained Access Control with Discretionary User Revocation over Cloud Data", in proceedings of the 4th IEEE Workshop on Security and Privacy in the Cloud (SPC), in conjunction with IEEE CNS, 2018 Zhijie Wang and Dijiang Huang, Privacy-Preserving Mobile Crowd Sensing in Ad Hoc Networks, Elsevier Ad Hoc Networks, Pages 14-26, Volume 73, NO. 1, May 2018 Zhen Zeng, Yuli Deng, I-Han Hsiao, and Dijiang Huang, Understanding Students Engagement behavior in Virtual Hands-on Lab: Findings from a Computer Network Security Course, ACM SIGCSE, Poster, 2018 Dijiang Huang, Tutorial on Moving Target Defense (MTD): A Software Defined Networking (SDN) Approach , to apear at the IEEE International Conference on Communications (ICC), Kansas City, 2018 Ankur Chowdhary, Adel Alshamrani, and Dijiang Huang, MTD Analysis and evaluation framework in Software Defined Network (MASON), in Proceedings of the ACM SDN/NFV Security Workshop, 2018 (Invited) Adel Alshamrani, Sayantan Guha, Sandeep Pisharody, Ankur Chowdhary, and Dijiang Huang, Fault Tolerant Controller Placement in Distributed SDN Environments, in Proceedings of IEEE ICC Communications QoS, Reliability, and Modeling Symposium, 2018. Abdullah Alshalan and Dijiang Huang, Prompt Lightweight VPN Session Resumption for Rapid Client Mobility and MTD Enablement for VPN Servers, in Proceedings of IEEE ICC Communication and Information Systems Security Symposium, 2018. Oussama Mjihil, Dijiang Huang, and Abdelkrim Haqiq. "Improving Attack Graph Scalability for the Cloud Through SDN-Based Decomposition and Parallel Processing", in proceedings of the International Symposium on Ubiquitous Networking, Springer, 2017. Duo Lu and Dijiang Huang, Multifactor User Authentication with In-Air-Handwriting and Hand Geometry, in Proceedings of the 11th IAPR International Conference on Biometrics (ICB), 2018. Recent Professional Activities Associate Editor, IEEE Transactions on Network and Service Management (TNSM) , 2019 - now Editor, IEEE Communications Surveys & Tutorials , 2011- now Associate Editor, Journal of Network & Systems Management (JNSM) , 2010- now Guest Editor, IEEE Communications Magazine Feature Topic on Mobile Cloud Computing , 2014 Guest Editor, IEEE Transactions on Dependable and Secure Computing (TDSC) Special Issue on Reliable and secure VANETs , 2014 Guest Editor of Special Issue on Cloud Computing, Networking, and Services (CCNS) Management , Journal of Network & Systems Management (JNSM), 2010 IEEE Internet Technical Committee, Chair, 2018-2019 IEEE Internet Technical Committee, Vice Chair, 2016-2017 IEEE Internet Technical Committee, Secretary, 2013- 2015 IEEE Internet Technical Committee, Cloud Communications SIG, 2012- 2014 IEEE Cloud Communications & Networking Ad Hoc Committee, 2012 - 2013 IEEE ComSoc Smart Grid Communications Committee (SGCC), 2010 - 2012 TPC co-chair, ACM Moving Target Defense (MTD) , Toronto Canada, 2018 TPC co-chair, IEEE CloudNet , Tokyo Japan, 2018 Publication co-chair, IEEE ICC , Kansas City, 2018 General co-chair, IEEE MobileCloud , Oxford, April, 2016 TPC co-chair, The 11th International Conference on Information Assurance and Security (IAS2015), December 2015 Workshop co-Chair, ACM MTD , Denver, October 2015 General co-chair, IEEE MobileCloud , San Francisco, April, 2015 Local chair, IEEE IC2E , Phoenix March 2015 Workshop co-Chair, ACM CCS , Phoenix, November 2014 TPC co-chair, IEEE MobileCloud , Oxford, UK, April 11-13, 2014 Publication chair, IEEE CloudNet 2013 TPC co-chair, Sigcomm MCC: Mobile Cloud Computing workshop , Hong Kong, China, August 12, 2013 Awards and Recognitions IEEE ComSoc Distinguished Lecturer 2019-2020 Fulton Engineering KEE Professorship 2017, 2018 Fulton Entrepreneurial Professor, 2015-2017 Fulton Schools of Engineering Best Teacher Award (Top 5%), 2016. AzTE Inventor Recognition, 2014, 2015. Visiting Erskine Fellowship, University of Canterbury, New Zealand, July-August, 2013 JSPS (Japan Society for the Promotion of Science) Fellowship, April-June, 2013 Conservatoire National des Arts et Metiers (CNAM) visiting scholar fellowship, June 2011, June-July 2012 HP Inovation Research Program (IRP) Award, 2011, 2012 IEEE Senior Member, 2011 Office of Naval Research (ONR) Young Investigator Award, 2010 Office of Naval Research (ONR) Summer Faculty Research Program, 2010 U.S Air Force Research Lab Summer Visiting Faculty Scholar Program, 2008 Nominated by UMKC for the ACM doctoral dissertation award, 2005 Distinguish PhD Dissertation Award, Computer Science and Electrical Engineering Department, University of Missouri-Kansas City, 2004. Graduate Studies Distinguished Dissertation Fellowships, University of Missouri-Kansas City, 2002 2003. Chancellor's Interdisciplinary PhD merit award, University of Missouri-Kansas City, 2001 2002. Lead Project/Publication/Team Awards West Regional Collegiate Cyber Defense Competition (WCCDC) Finalist, #1 in Injection, and #8 in overall ranking, February 2017. The research article "iDoctor: Personalized and Professionalized Medical Recommendations Based on Hybrid Matrix Factorization" published by Elsevier Future Generation Computer Systems in January 2017 was selected by Elsevier Article Selection Celebrating Computer Science Research in China, 2017 (https://www.elsevier.com/physical-sciences/computer-science/article-selection-celebrating-computer-science-research-in-china) TechConnect Defense Innovation Award (CyNET LLC: Moving Target Defense based Security for Cloud Network project), 2017. Reimagine Education Bronze Award in Engineering/IT Discipline (Athena Network Solutions LLC: ThoTh Lab Project), 2016. (http://content.qs.com/re2016/REIMAGINE_EDUCATION_AWARDS_BOOKLET.pdf) International Conference on Mobile Computing and Ubiquitous Networking (ICMU), Best paper award, 2008. Teaching CSE 434: Computer Networks CSE 546: Cloud Computing (Former CSE 591: Special Topic: Virtualization and Cloud Computing) CSE 548: Advanced Computer and Network Security CSE 468/598: Computer and Network Security CSE 205: Concepts of Computer Science and Data Structure CSE 310: Data Structures and Algorithm CSE 101: Introduction to Computer Science and Engineering Membership IEEE Senior Member, ACM Member SNAC People Visiting Scholar Dr. Wen Liu, Communication University of China, (2/2018-2/2019) Dr. Bin Zhang, Guilin University of Electronic Technology, China, (7/2018-7/2019) PostDoc Jiayue Li, PhD. Hong Kong University of Science and Technology (12/2017 -3/2019) Chun-Jen (James) Chung, PhD. Arizona State University (12/2017 -1/2019) Current Students Sowmya Myneni (PhD student) Yuli Deng (PhD student) Duo Lu (PhD student) Ankur Chowdhary (PhD student) Qiuxiang Dong (PhD student) Zhen Zeng (PhD student) Abdulhakim Sabur (PhD student) Alumni: Visiting Scholars, Graduated Ph.D, and MS Students Copyright 2013 Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. 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Graduate Program Chair, Computer Science dijiang@asu.edu 480-965-2776 BYENG 470 www.public.asu.edu/~dhuang8/ Education Ph.D., Telecommunications and Computer Networking, University of Missouri Kansas City, 2004 M.S., Computer Science,University of Missouri Kansas City, 2001 B.E., Telecommunications,Beijing University of Posts and Telecommunications, 1995 Research interests His main research interests are in key management, intrusion detection, attacks analysis, computer network security, ad hoc/sensor network security, and mobile cloud computing. Honors and awards Visiting Erskine Fellowship, University of Canterbury, New Zealand, July-August, 2013 JSPS (Japan Society for the Promotion of Science) Fellowship, April-June, 2013 Conservatoire National des Arts et Metiers (CNAM) visiting scholar fellowship, June 2011, June-July 2012 HP Inovation Research Program (IRP) Award, 2011, 2012 Office of Naval Research (ONR) Young Investigator Award, 2010 International Conference on Mobile Computing and Ubiquitous Networking (ICMU), Best paper award, 2008 Key activities Guest Editor, Special Issue onReliable and Secure VANETs,IEEE Transaction on Dependable and Secure Computing, 2014. Editor,IEEE Communications Surveys & Tutorials, 2011- now Associate Editor,Journal of Network & Systems Management (JNSM), 2010- now Guest Editor ofSpecial Issue on Cloud Computing, Networking, and Services (CCNS) Management, Journal of Network & Systems Management (JNSM), 2010 IEEE Internet Technical Committee, Cloud Communications SIG, 2012- Present IEEE ComSoc Smart Grid Communications Committee (SGCC), 2010 present IEEE Cloud Communications & Networking Ad Hoc Committee, 2012 present TPC co-chair,IEEE MobileCloud, Oxford, UK,April 11-13, 2014 TPC co-chair,Sigcomm MCC: Mobile Cloud Computing workshop, Hong Kong, China, August 12, 2013 TPC Co-chair for Information Security Symposium (ICC) 2010 January 7, 2016 CIDSE CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/43.txt b/src/data/compiled_bios/43.txt new file mode 100644 index 0000000000..c49d692a61 --- /dev/null +++ b/src/data/compiled_bios/43.txt @@ -0,0 +1 @@ + Toggle navigation Nan Jiang Publications CS 598 Hi, this is the home page of Nan Jiang (). I am a machine learning researcher. My core research area is reinforcement learning (RL). I care about the sample efficiency of RL, and use ideas from statistical learning theory to analyze and develop RL algorithms. I am also interested in related areas such as online learning and dynamical system modeling. Prospective students: please read this note . Experiences Aug 2018 Assistant Professor, CS @ UIUC 2017 2018 Postdoc Researcher, MSR NYC 2011 2017 PhD, CSE @ UMich CV (Nov 2018). Research statement (Nov 2016) nanjiang at illinois dot edu nanjiang_cs 3322 Siebel Center Selected Publications (click to expand) Contextual Decision Processes with Low Bellman Rank are PAC-Learnable. [ ICML version , arXiv , poster , talk video ] (ICML-17) Nan Jiang, Akshay Krishnamurthy, Alekh Agarwal, John Langford, Robert E. Schapire. A new and general theory of exploration in RL with function approximation. Doubly Robust Off-policy Value Evaluation for Reinforcement Learning. [ pdf , poster ] (ICML-16) Nan Jiang, Lihong Li. Simple and effective improvement of importance sampling via control variates. The Dependence of Effective Planning Horizon on Model Accuracy. [ pdf , errata , poster , talk video ] (AAMAS-15, best paper award ) Nan Jiang, Alex Kulesza, Satinder Singh, Richard Lewis. Using a smaller discount factor than defined can be viewed as regularization. Low-Rank Spectral Learning with Weighted Loss Functions. [ pdf ] (AISTATS-15) Alex Kulesza, Nan Jiang, Satinder Singh. Approximation guarantees for low-rank learning of PSRs. diff --git a/src/data/compiled_bios/430.txt b/src/data/compiled_bios/430.txt new file mode 100644 index 0000000000..52c8782a91 --- /dev/null +++ b/src/data/compiled_bios/430.txt @@ -0,0 +1 @@ +Ying He Associate Professor School of Computer Engineering Nanyang Technological University Office: N4-02a-22 Tel: +65 6514 1008 Email: yhe `at' ntu.edu.sg Research Interests My research interests fall into the general areas of visual computing. I'm particularly interested in the problems which require geometric analysis and computation. I have applied geometric approaches to a wide spectrum of engineering fields, including computer graphics, computer-aided design, multimedia, wireless sensor networking, and medical imaging. Selected Publications (Since 2006) * denotes my supervised students and research staff Journal papers X. Wang*, Z. Fang*, J. Wu*, S.-Q. Xin*, Y. He . Discrete Geodesic Graph (DGG) for Computing Geodesic Distances on Polyhedral Surfaces, Computer-Aided Geometric Design (Proceedings of Geometric Modeling and Processing '17) , accepted, 2017. Y.-J. Liu, D. Fan, C. Xu, Y. He . Constructing Intrinsic Delaunay Triangulations from the Dual of Geodesic Voronoi Diagrams, ACM Transactions on Graphics , accepted, 2017. Y.-J. Liu, C. Xu, R. Yi, D. Fan, Y. He . Manifold Differential Evolution (MDE): A Global Optimization Method for Geodesic Centroidal Voronoi Tessellations on Meshes, ACM Transactions on Graphics (SIGGRAPH Asia '16) , Vol. 35, No. 6, Article No. 243, 2016. F. Hou*, Y. He , H. Qin, and A. Hao. Knot Optimization for Biharmonic B-splines on Manifold Triangle Meshes, IEEE Transactions on Visualization and Computer Graphics , accepted, 2016. F. Li*, J. Luo, G. Shi, and Y. He . ART: Adaptive fRequency-Temporal co-existing of ZigBee and WiFi, IEEE Transactions on Mobile Computing , accepted, 2016. J. Hou*, L.-P. Chau, N. Magnenat-Thalmann, and Y. He . Low-Latency Compression of Mocap Data Using Learned Spatial Decorrelation Transform, Computer-Aided Geometric Design (Proceedings of Geometric Modeling and Processing '16) , Vol. 43, pp. 211-225, 2016. J. Hou*, L.-P. Chau, N. Magnenat-Thalmann, and Y. He . SLRMA: Sparse Low-Rank Matrix Approximation for Data Compression, IEEE Transactions on Circuits and Systems for Video Technology , accepted, 2015. Y.-J. Liu, C. Xu, D. Fan, and Y. He . Efficient Construction and Simplification of Delaunay Meshes, ACM Transactions on Graphics (SIGGRAPH Asia '15) , Vol. 34, No. 6, Article No. 174, 2015. J. Hou*, L.-P. Chau, N. Magnenat-Thalmann, and Y. He . Human Motion Capture Tailored Transform Coding, IEEE Transactions on Visualization and Computer Graphics , Vol. 21, No. 7, pp. 848-859, 2015. C. Xu*, T.Y. Wang, Y.-J. Liu, L. Liu, and Y. He . Fast Wavefront Propagation (FWP) for Computing Exact Geodesic Distances on Meshes, IEEE Transactions on Visualization and Computer Graphics , Vol. 21, No. 7, pp. 822-834, 2015. X. Wang*, X. Ying*, Y.-J. Liu, S.-Q. Xin*, W. Wang, X. Gu, W. Mueller-Wittig, and Y. He . Intrinsic Computation of Centroidal Voronoi Tessellation (CVT) on Meshes, Computer-Aided Design (Proceedings of ACM Symposium on Solid and Physical Modeling 2014) , Vol. 58, pp. 51-61, 2015. F. Li*, J. Luo, W. Wang, and Y. He . Autonomous Deployment for Load Balancing k-Surface Coverage in Sensor Networks, IEEE Transactions on Wireless Communications , Vol. 14, No. 1, pp. 279-293, 2015. J. Hou*, L.-P. Chau, N. Magnenat-Thalmann, and Y. He . Compressing 3D Human Motions via Keyframe based Geometry Videos (KGVs), IEEE Transactions on Circuits and Systems for Video Technology , Vol. 25, No. 1, pp. 51-62, 2015. C.-X. Xu*, Y.-J. Liu, Q. Sun*, J. Li, and Y. He . Polyline-sourced Geodesic Voronoi Diagrams on Triangle Meshes, Computer Graphics Forum (Proceedings of Pacific Graphics 2014) , Vol. 33, No. 7, pp. 161-170, 2014. J. Hou*, L.-P. Chau, M. Zhang*, N. Magnenat-Thalmann, and Y. He . A Highly Efficient Compression Framework for Time-Varying 3D Facial Expressions, IEEE Transactions on Circuits and Systems for Video Technology , Vol. 24, No. 9, pp. 1541-1553, 2014. J. Hou*, L.-P. Chau, N. Magnenat-Thalmann, and Y. He . Scalable and Compact Representation for Motion Capture Data Using Tensor Decomposition, IEEE Signal Processing Letters , Vol. 21, No. 3, pp. 255-259, 2014. F. Li*, C. Zhang*, J. Luo, S.-Q. Xin*, and Y. He . LBDP: Localized Boundary Detection and Parameterization for 3D sensor networks, IEEE/ACM Transactions on Networking , Vol. 22, No. 2, pp. 567-579, 2014. D. Wang*, S.C.H. Hoi, Y. He , J. Zhu, T. Mei, and J. Luo. Retrieval-based Face Annotation by Weak Label Regularized Local Coordinate Coding, IEEE Transactions on Pattern Analysis and Machine Intelligence , Vol. 36, No. 3, pp. 550-563, 2014. D. Wang*, S.C.H. Hoi, Y. He , and J. Zhu. Mining Weakly-labeled Web Facial Images for Search-based Face Annotation, IEEE Transactions on Knowledge and Data Engineering , Vol. 26, No. 1, pp. 166-179, 2014. X. Ying*, S.-Q. Xin*, and Y. He . Parallel Chen-Han (PCH) Algorithm for Discrete Geodesics, ACM Transactions on Graphics , Vol. 33, No. 1, Article No. 9, 2014. X. Ying*, X. Wang*, and Y. He . Saddle Vertex Graph (SVG): A Novel Solution to the Discrete Geodesic Problem, ACM Transactions on Graphics (SIGGRAPH Asia '13) , Vol. 32, No. 6, Article No. 170, 2013. X. Ying*, S.-Q. Xin*, Q. Sun*, and Y. He . An Intrinsic Algorithm for Parallel Poisson Disk Sampling on Arbitrary Surfaces, IEEE Transactions on Visualization and Computer Graphics , Vol. 19, No. 9, pp. 1425-1437, 2013. J. Hou*, L.-P. Chau, Y. He , M. Zhang*, N. Magnenat-Thalmann. Rate-distortion Model based Bit Allocation for 3-D Facial Compression Using Geometry Video, IEEE Transactions on Circuits and Systems for Video Technology , Vol. 23, No. 9, pp. 1537-1541, 2013. I. Garcia, J. Xia*, Y. He , S.-Q. Xin*, and G. Patow. Interactive Applications for Sketch-based Editable Polycube-map, IEEE Transactions on Visualization and Computer Graphics , Vol. 19, No. 7, pp. 1158-1171, 2013. J. Lin*, T. Igarashi, J. Mitani, and Y. He . A Sketching Interface for Sitting Pose Design in the Virtual Environment, IEEE Transactions on Visualization and Computer Graphics , Vol. 18, No. 11, pp. 1979-1991, 2012. S.-Q. Xin*, Y. He , and C.-W. Fu. Efficiently Computing Exact Geodesic Loops within Finite Steps, IEEE Transactions on Visualization and Computer Graphics , Vol. 18, No. 6, pp. 879-889, 2012. J. Xia*, D. Quynh*, Y. He , X. Chen*, and S.C.H. Hoi. Modeling and Compressing 3D Facial Expressions Using Geometry Videos, IEEE Transactions on Circuits and Systems for Video Technology , Vol. 22, No. 1, pp. 77-90, 2012. S.-Q. Xin*, C.-F. Lai, C.-W. Fu, T.-T. Wong, Y. He , and D. Cohen-Or. Making Burr Puzzles from 3D Models, ACM Transactions on Graphics (SIGGRAPH '11) , Vol. 30, No. 3, 2011. L. Zhang*, Y. He , J. Xia*, X. Xie*, and W. Chen. Real-time Shape Illustration Using Laplacian Lines, IEEE Transactions on Visualization and Computer Graphics , Vol. 17, No. 7, pp. 993-1006, 2011. C.-W. Fu, C.-F. Lai, Y. He , D. Cohen-Or. K-set Tileable Surfaces, ACM Transactions on Computer Graphics (SIGGRAPH '10) , Vol. 29, No. 4, article no. 44, 2010. Y.-K. Lai, M. Jin, X. Xie*, Y. He , J. Palacios, E. Zhang, S.-M. Hu, and X. Gu. Metric-driven RoSy Field Design and Remeshing, IEEE Transactions on Visualization and Computer Graphics , Vol. 16, No. 1, pp. 95-108, 2010. X. Li, X. Guo, H. Wang, Y. He , X. Gu, and H. Qin. Meshless Harmonic Volumetric Mapping Using Fundamental Solution Methods, IEEE Transactions on Automation Science and Engineering , Vol. 6, No.3, pp. 409-422, 2009. Y. He , H. Wang, C.-W. Fu, and H. Qin. A Divide-and-conquer Approach for Automatic Polycube Map Construction, Computer & Graphics (Proceedings of IEEE SMI '09 ) , Vol. 33, No. 3, pp. 369-380, 2009. H. Wang, Y. He , X. Li, X. Gu, and H. Qin. Polycube Splines, Computer-Aided Design , Vol. 40, No. 6, pp.721-733, 2008. X. Gu, Y. He , M. Jin, F. Luo, H. Qin, and S.-T. Yau. Manifold Splines with Single Extraordinary Point, Computer-Aided Design , Vol. 40, No. 6, pp. 676-690, 2008. X. Xie*, Y. He , F. Tian, H.-S. Seah, X. Gu and H. Qin. An Effective Illustrative Visualization Framework based on Photic Extremum Lines (PELs), IEEE Transactions on Visualization and Computer Graphics (Proceedings of IEEE VIS '07) , Vol. 13, No. 6, pp. 1328-1335, 2007. J. Dai, W. Luo, M. Jin, W. Zeng, Y. He , S.-T. Yau, and X. Gu. Geometric Accuracy Analysis for Discrete Surface Approximation, Computer-Aided Geometric Design , Vol. 24, No. 6, pp.323-338, 2007. X. Gu, Y. He , and H. Qin. Manifold Splines, Graphical Models , Vol. 68, No.3, pp. 237-254, 2006. Referred conference papers C. Wu, R. Yi, Y.-J. Liu, Y. He , C.C.L. Wang. Delta DLP 3D Printing with Large Size, Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS '16) , pp. 2155-2160, 2016. J. Hou*, L.-P. Chau, N. Magnenat-Thalmann, and Y. He . Sparse Two-Dimensional Singular Value Decomposition, Proceedings of IEEE International Conference on Multimedia and Expo (ICME '16) , accepted, 2016. (Oral, acceptance rate=15%) Y.-J. Liu, C.-C. Yu, M.-J. Yu, and Y. He . Manifold SLIC: A Fast Method to Compute Structure-Sensitive Superpixels, Proceedings of CVPR '16 , accepted, 2016. H. Liang, J. Wang*, Q. Sun*, Y.-J. Liu, J. Yuan, J. Luo, and Y. He . Barehanded Music: Real-time Hand Interaction for Virtual Piano, Proceedings of ACM Symposium on Interactive 3D Graphics and Games (I3D '16) , pp. 87-94, 2016. C. Zhang, F. Li*, J. Luo, and Y. He . iLocScan: Harnessing Multipath for Simultaneous Indoor Source Localization and Space Scanning, Proceedings of the 12th ACM Conference on Embedded Networked Sensor Systems (SenSys '14) , pp. 91-104, 2014. (Acceptance rate 22/117=18.8%). L. Zhang*, Q. Sun*, and Y. He . Splatting Lines: An Efficient Method for Illustrating 3D Surfaces and Volumes, Proceedings of ACM Symposium on Interactive 3D Graphics and Games (I3D '14) , pp. 135-142, 2014. F. Li*, J. Luo, G. Shi, and Y. He . FAVOR: Frequency Allocation for Versatile Occupancy of spectRum in Wireless Sensor Networks, Proceedings of ACM MobiHoc '13 , pp. 39-48, 2013. (Acceptance rate 24/234=10.2%) D. Wang*, S.C.H. Hoi, P. Wu*, Y. He and C. Miao. Learning to Name Faces: A Multimodal Learning Scheme for Search-Based Face Annotation, Proceedings of ACM SIGIR '13 , pp. 443-452, 2013. (Acceptance rate 73/366=19.9%) Q. Sun*, J. Lin*, C-W. Fu, S. Kaijima, and Y. He . A Multi-touch Interface for Fast Architectural Sketching and Massing, Proceedings of ACM SIGCHI Conference on Human Factors in Computing Systems (CHI '13) , pp. 247-256, 2013. Q. Sun*, L. Zhang*, M. Zhang*, X. Ying*, S.-Q. Xin*, J. Xia* and Y. He . Texture Brush: An Interactive Surface Texturing Interface, Proceedings of ACM Symposium on Interactive 3D Graphics and Games (I3D '13) , pp. 153-160, 2013. S.-Q. Xin*, D. Quynh*, X. Ying*, and Y. He . A Global Algorithm to Compute Defect-tolerant Geodesic Distance, ACM SIGGRAPH ASIA 2012 Technical Briefs , 23:1-23:4, 2012. D. Wang*, S.C.H. Hoi and Y. He . A Unified Learning Framework for Auto Face Annotation by Mining Web Facial Images, Proceedings of ACM International Conference on Information and Knowledge Management (CIKM '12) , pp. 1392-1401, 2012 (Acceptance rate 13.4%). M. Zhang*, F. Li*, Y. He , L. Shi, D. Wang, L.M. Lui. Registration of Brainstem Surface in Adolescent Idiopathic Scoliosis using Discrete Ricci Flow, Proceedings of 15th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI '12) , LNCS 7511, pp. 146-154, 2012. C. Zhang, J. Luo, F. Li*, J. Lin*, and Y. He . Harmonic Quorum Systems: Data Management in 2D/3D Wireless Sensor Networks with Holes, Proceedings of IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON '12) , pp.1-9, 2012. (Acceptance rate 19.4%). F. Li*, J. Luo, S.-Q. Xin*, W. Wang, and Y. He . LAACAD: Load bAlancing k-Area Coverage through Autonomous Deployment in Wireless Sensor Networks, Proceedings of The 32nd International Conference on Distributed Computing Systems (ICDCS '12) , pp. 566-575, 2012. (Acceptance rate 13%) S.-Q. Xin*, X. Ying*, and Y. He . Constant Time All-pairs Geodesic Distance Query on Triangle Meshes, Proceedings of ACM Symposium on Interactive 3D Graphics and Games (I3D '12) , pp. 31-38, 2012. D. Quynh*, Y. He , X. Chen*, J. Xia*, Q. Sun*, and C.H.Hoi. Modeling 3D Articulated Motions with Conformal Geometry Videos (CGVs), Proceedings of ACM Multimedia (MM '11) , pp. 383-392, 2011. (Full paper, acceptance rate: 17%) D. Wang*, C. H. Hoi, Y. He and J. Zhu. Retrieval-based Face Annotation by Weak Label Regularized Local Coordinate Coding, Proceedings of ACM Multimedia (MM '11) , pp. 353-362, 2011. (Full paper, acceptance rate: 17%) S.-Q. Xin*, Y. He , C.-W. Fu, L. Shi, D. Wang, W.C.W. Chu, J.C.K. Cheng, X. Gu, L.M. Lui, Euclidean Geodesic Loops on High-genus Surfaces Applied to the Morphometry of Vestibular Systems, Proceedings of 14th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI '11) , LNCS 6892, pp. 384-392, 2011. D. Wang*, C.H. Hoi, and Y. He . Mining Weakly Labeled Web Facial Images for Search-based Face Annotation, Proceedings of ACM SIGIR 2011 , pp. 535-544, 2011. (Acceptance rate: 19.8%). F. Li*, J. Luo, C. Zhang, S.-Q. Xin*, and Y. He . UNFOLD: UNiform Fast On-Line boundary Detection for dynamic 3D wireless sensor networks, Proceedings of ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc '11) , 14:1-14:11, 2011. (Acceptance rate: 19.6%) Q. Sun*, C.-W. Fu, and Y. He . An Interactive Multi-touch Sketching Interface for Diffusion Curves, Proceedings of ACM Conference on Human Factors in Computing Systems (CHI '11) , pp.1611--1614, 2011 (Acceptance rate: 26%). J. Xia*, I. Garcia, Y. He , S.-Q. Xin*, and G. Patow. Editable Polycube Mapping for GPU-based Subdivision Surfaces, Proceedings of ACM Symposium on Interactive 3D Graphics and Games (I3D '11) , pp.151-158, 2011. P. Wu*, C.H. Hoi, P. Zhao, and Y. He . Mining Social Images with Distance Metric Learning for Automated Image Tagging, Proceedings of ACM International Conference on Web Search and Data Mining (WSDM '11) , pp.197--206, 2011 (Oral paper, acceptance rate: 8.6%). J. Xia*, Y. He , D. Quynh*, X. Chen*, and C.H. Hoi. Modeling 3D Facial Expressions using Geometry Videos, Proceedings of ACM Multimedia (MM '10) , pp. 381-390, 2010 (Full paper, acceptance rate: 17%). C.-W. Fu, J. Xia*, and Y. He . LayerPaint: A Multi-layer Interactive 3D Painting Interface, Proceedings of ACM Conference on Human Factors in Computing Systems (CHI '10) , pp.811-820, 2010 (Acceptance rate: 22%). S. Han*, J. Xia*, and Y. He . Hexahedral Shell Mesh Construction via Polycube Map, Proceedings of ACM Symposium on Solid and Physical Modeling (SPM '10) , pp. 127-136, 2010. J. Xia*, Y. He , X. Yin, S. Han*, and X. Gu. Direct Product Volume Parameterization using Harmonic Fields, Proceedings of IEEE International Conference on Shape Modeling and Applications (SMI '10) , pp. 3-12, 2010. J. Xia*, Y. He , S. Han*, C.-W. Fu, F. Luo, and X. Gu. Parameterization of Star Shaped Volumes using Green's Functions, Proceedings of Geometric Modeling and Processing (GMP '10) , LNCS 6130, pp. 219-235, 2010. L. Zhang*, Y. He , X. Xie, and W. Chen. Laplacian Lines for Real Time Shape Illustration, Proceedings of ACM Symposium on Interactive 3D Graphics and Games (I3D '09) , pp. 129-136, 2009. H. Wang, M. Jin, Y. He , X. Gu, and H. Qin. User-controllable Polycbue Maps for Manifold Spline Construction, Proceedings of ACM Symposium on Solid and Physical Modeling (SPM '08) , pp. 397-404, 2008. H. Wang, Y. He , X. Li, X. Gu, and H. Qin. Polycube Splines, Proceedings of ACM Symposium on Solid and Physical Modeling (SPM '07) , pp. 241-251, 2007. X. Gu, Y. He , M. Jin, F. Luo, H. Qin, and S.-T. Yau. Manifold Splines with Single Extraordinary Point, Proceedings of ACM Symposium on Solid and Physical Modeling (SPM '07) , pp. 61-72, 2007. X. Li, X. Guo, H. Wang, Y. He , X. Gu, and H. Qin. Harmonic Volumetric Mapping for Solid Modeling Applications, Proceedings of ACM Symposium on Solid and Physical Modeling (SPM '07) , pp. 109-120, 2007. Awards Best Paper Award, Journal of Computational Visual Media, Springer, 2015 Best Paper Award (3rd Place), Symposium on Solid and Physical Modeling, 2014 Best Paper Award (2nd Place), SIAM Conference on Geometric and Physical Modeling, 2013 Best Paper Award, ACM Symposium on Solid Modeling and Applications, 2004 Team Current research staff and graduate students: Dr. Fei Hou (Research fellow) Mr. Le Tien Hung (PhD student, co-supervisor: Prof. Jun Luo) Mr. Zheng Fang (PhD student) Ms. Jie Du (PhD student) Ms. Qian Fu (PhD student) Ms. Sidan Yao (PhD student) Ms. Jin Wang (Co-supervised PhD student, supervisor: Prof. Jun Luo) Mr. Chunxu Xu (PhD student, supervisor: Prof. Yong-Jin Liu) Ms. Peng Cheng (PhD student, supervisor: Prof. Chunyan Miao) Alumni Dr. Qian Sun (Jan 2009 ~ Dec 2016): PhD student & Research fellow; current position: Tianjin University Dr. Junhui Hou (Aug 2011 ~ Dec 2016): Co-supervised PhD student; current position: Assistant Professor at City University of Hong Kong Dr. Xiaoning Wang (Aug 2011 ~ Jul 2016): PhD Student & Research Fellow Dr. Debbie Leung (Sep 2014 ~ Mar 2016): Research Fellow Dr. Min Meng (Sep 2011 ~ Aug 2013): Research Fellow Dr. Minqi Zhang (Jan 2010 ~ Oct 2015): PhD Student & Research Fellow; current position: Autodesk Dr. Dayong Wang (Aug 2009 ~ Apr 2014): PhD Student; current position: Postdoctoral Research Fellow at MSU, USA Dr. Dao P.T. Quynh (Jan 2009 ~ May 2013): PhD Student Dr. Zhenhua Li (Jan 2009 ~ Apr 2013): PhD Student; current position: Postdoctoral Research Fellow at NUS Dr. Feng Li (Aug 2010 ~ Jul 2014): Co-supervised PhD Student; current position: Assistant Professor at Shandong University Dr. Jiazhi Xia (Aug 2008 ~ Jun 2011): PhD Student; current position: Associate Professor at Central South University, China Dr. Xiang Ying (Aug 2009 ~ Apr 2013): PhD Student; current position: Associate Professor at Tianjin University, China Dr. Long Zhang (Jul 2011 ~ Mar 2013): Research Fellow; current position: Associate Professor at Hangzhou Dianzi University, China Dr. Shi-Qing Xin (Oct 2009 ~ Jun 2012): Research Fellow; current position: Associate Professor at Ningbo University, China Dr. Juncong Lin (Oct 2009 ~ Sep 2011): Research Fellow; current position: Associate Professor at Xiamen University, China Dr. Xiaoming Chen (Mar 2010 ~ Dec 2010): Research Fellow; current position: Associate Professor at University of Science and Technology of China, China Mr. Jiajun Wu (Dec 2013 ~ May 2015): Project Officer; current position: Google Mr. Shuchu Han (Jan 2008 ~ May 2010): MEng Student; current position: PhD student at Stony Brook University, USA Ms. Shuang-Min Chen (Jan 2010 ~ Jun 2012): Project Officer; current position: staff at Ningbo University, China Professional Services Guest Editor, Graphical Models, 2014 Program Co-chair, Geometric Modeling and Processing (GMP), 2014 TPC member, ACM Symposium on Solid and Physical Modeling (SPM), 2011-2017 TPC member, Computer Animation and Social Agents (CASA), 2008, 2012-2017 TPC member, ACM Symposium on Interactive 3D Graphics and Games (I3D), 2012-2016 TPC member, Geometric Modeling and Processing (GMP), 2012, 2016, 2017 TPC member, IEEE International Conference on Shape Modeling and Applications (SMI), 2008-2011 TPC member, International Conference on Computer-Aided Design and Computer Graphics (CAD/Graphics), 2007, 2015 TPC member, ACM SIGGRAPH Asia Technical Briefs & Posters 2011-2016 TPC member, ACM Symposium on Virtual Reality Software and Technology (VRST), 2013-2016 Demos 1)Texture brush 2)Making burr puzzles from 3D models 3)Geodesic loops 4)Metric driven N-Rosy design 5)Hexahedral shell mesh construction via polycube map 6) An effective illustrative visualization framework based on photic extremum lines (PELs) 7)K-set tilable surfaces 8)Laplacian lines 9)Polycube map 10)real-time computation of photic extremum lines (PELs) 11)Editable Polycube Map for GPU-based Subdivision Surfaces 12)LayerPaint: A Multi-Layer Interactive 3D Painting Interface 13)An Interactive Multi-touch Sketching Interface for Diffusion Curves 14)A Multi-touch Interface for Fast Architectural Sketching and Massing diff --git a/src/data/compiled_bios/4300.txt b/src/data/compiled_bios/4300.txt new file mode 100644 index 0000000000..f1f3b6b5fb --- /dev/null +++ b/src/data/compiled_bios/4300.txt @@ -0,0 +1 @@ +Cheryl L. Jennings Lecturer c.jennings@asu.edu Education Ph.D., Arizona State University, 1998 Research interests Quality engineering, quality management, engineering statistics, business analytics Honors and awards Bank of America Gold Recognition for project leadership; Motorola Silver Quill (twice) Key activities Member: American Society for Quality, American Statistical Association, Institute of Industrial Engineers October 7, 2015 CIDSE Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Cheryl L. Jennings Home Directory and Research Directory Faculty Jennings, Cheryl L. Lecturer c.jennings@asu.edu Education Ph.D., Arizona State University, 1998 Research interests Quality engineering, quality management, engineering statistics, business analytics Honors and awards Bank of America Gold Recognition for project leadership; Motorola Silver Quill (twice) Key activities Member: American Society for Quality, American Statistical Association, Institute of Industrial Engineers October 7, 2015 CIDSE CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4301.txt b/src/data/compiled_bios/4301.txt new file mode 100644 index 0000000000..843a79ed54 --- /dev/null +++ b/src/data/compiled_bios/4301.txt @@ -0,0 +1 @@ +Feng Ju Assistant Professor Feng Ju joined the faculty at ASU in fall 2015. Feng.Ju@asu.edu faculty.engineering.asu.edu/fengju Education Ph.D., Industrial and Systems Engineering, University of Wisconsin-Madison, 2015 M.S., Electrical and Computer Engineering, University of Wisconsin-Madison, 2011 B.S., Electrical and Computer Engineering, Shanghai Jiao Tong University, 2010 Research interests Stochastic modeling and control in manufacturing and healthcare systems; Battery management systems Honors and awards Best Student Paper Award Finalist, IFAC Symposium on Information Control Problems in Manufacturing (INCOM), 2015 Best Paper Award, IFAC Conference on Manufacturing Modeling, Management and Control (MIM), 2013 Best Paper Honorable Mention, Industrial and Systems Engineering Research Conference (ISERC), 2012 Key activities Member Institute for Operations Research and the Management Sciences (INFORMS) Member Institute of Electrical and Electronics Engineers (IEEE) July 30, 2018 Erik Wirtanen Skip to Content Sign In / Sign Out Sign In Menu ASU Home News/Events Academics Research Athletics Alumni Giving President About ASU My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Innovation Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Engineering | Manufacturing and Service Systems Lab Skip to content Home Research Publication Teaching Members Service Feng Ju, PhD Assistant Professor of Industrial Engineering School of Computing, Informatics, andDecision Systems Engineering Senior Sustainability Scientist Julie Ann Wrigley Global institute of Sustainability Office: BYENG 336 Email:fengju AT asu DOT edu Phone: 480-965-1746 For Prospective Ph.D. Students : I am actively looking for qualified Ph.D. students with a strong background in math and system engineering. If you are interested in working with me, please contact me via email. Education Background PhD, Industrial and Systems Engineering, University of Wisconsin Madison, 2015 MS, Electrical and Computer Engineering, University of Wisconsin Madison, 2011 BS, Electrical and Computer Engineering, Shanghai Jiaotong University, 2010 Research Interests Stochastic modeling and control of manufacturing and healthcare delivery systems Design, analysis and control of smart manufacturing systems Sustainable transportation systems Battery management systems Selected Honors and Awards Runner-up, NIST RAMP competition, 2018 Best Student Paper Award Finalist, IEEE Conference on Automation Science and Engineering (CASE), 2017 Featured Article inIIE Magazine, 2015 Chinese Government Award for Outstanding Self-Financed Students Abroad, 2015 Best Student Paper Award Finalist, IFAC Symposium on Information Control Problems in Manufacturing (INCOM), 2015 Most Popular Article, IEEE Transactions on Automation Science and Engineering (TASE), 2013 Best Paper Award, IFAC Conference on Manufacturing Modeling, Management and Control (MIM), 2013 Best Paper Honorable Mention, Industrial and Systems Engineering Research Conference (ISERC), 2012 News Dr. Ju has been appointed as the Associate Editor of IEEE Robotics and Automation Letters. January 28, 2019 VP of Operation at Boeing visit our lab and discuss about digital factory November 14, 2018 Dr. Ju is organizing a special issue on smart manufacturing in IEEE Transactions on Automation Science and Engineering (T-ASE) November 9, 2018 Our capstone team won the runner up prize for NIST RAMP challenge. Congratulations! June 25, 2018 Dr. Ju received research funding from NSF for smart manufacturing modeling and control June 1, 2018 ASU-IISE student chapter was awarded Gold Status two years in a row! Congratualations! May 25, 2018 Yunyi and Feifan received CIDSE doctoral fellowship. Congratulations! March 20, 2018 Research group visited Localmotors Factory in Chandler AZ. February 9, 2018 Feifan won 3rd place at CIDSE annual INFORMS presentation competition. Congratulations! October 11, 2017 Dr. Ju organized a workshop on Sustainable Production Automation and two special sessions on Smart Manufacturing Systems at IEEE CASE 2017. August 24, 2017 Yunyi received Best Student Paper Finalist Award at IEEE CASE 2017. Congratulations! August 22, 2017 Dr. Ju visited Northwestern Polytechnical University and gave a talk on Smart Manufacturing August 22, 2017 ASU-IISE student chapter was awarded Gold Status! Congratulations! July 22, 2017 Dr. Ju received research funding from NSF for battery management and EV sharing. August 25, 2016 Dr. Ju visited NIST and presented a talk on Transient Analysis and Real-time Control of Production Systems with Constrained Residence Time March 13, 2016 Dr. Ju presented a talk on Battery Manufacturing and Management System for Electric Vehicles at Tesla Factory, Fremont, CA. December 10, 2015 Welcome to MSS Lab! September 13, 2015 The Manufacturing and Service Systems Lab is lab group led by Feng Ju, PhD. Contact Us Phone: 480-965-1746 Contribute ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Feng Ju Home Directory and Research Directory Faculty Ju, Feng Assistant Professor Feng Ju joined the faculty at ASU in fall 2015. Feng.Ju@asu.edu faculty.engineering.asu.edu/fengju Education Ph.D., Industrial and Systems Engineering, University of Wisconsin-Madison, 2015 M.S., Electrical and Computer Engineering, University of Wisconsin-Madison, 2011 B.S., Electrical and Computer Engineering, Shanghai Jiao Tong University, 2010 Research interests Stochastic modeling and control in manufacturing and healthcare systems; Battery management systems Honors and awards Best Student Paper Award Finalist, IFAC Symposium on Information Control Problems in Manufacturing (INCOM), 2015 Best Paper Award, IFAC Conference on Manufacturing Modeling, Management and Control (MIM), 2013 Best Paper Honorable Mention, Industrial and Systems Engineering Research Conference (ISERC), 2012 Key activities Member Institute for Operations Research and the Management Sciences (INFORMS) Member Institute of Electrical and Electronics Engineers (IEEE) July 30, 2018 Erik Wirtanen CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4302.txt b/src/data/compiled_bios/4302.txt new file mode 100644 index 0000000000..e98c79c63f --- /dev/null +++ b/src/data/compiled_bios/4302.txt @@ -0,0 +1 @@ +Joseph Juarez Lecturer Joseph.Juarez@asu.edu 480-965-2835 November 1, 2018 Erik Wirtanen Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Joseph Juarez Home Directory and Research Directory Lecturers and Research Faculty Juarez, Joseph Lecturer Joseph.Juarez@asu.edu 480-965-2835 November 1, 2018 Erik Wirtanen CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4303.txt b/src/data/compiled_bios/4303.txt new file mode 100644 index 0000000000..0cacee8ca1 --- /dev/null +++ b/src/data/compiled_bios/4303.txt @@ -0,0 +1 @@ +Subbarao Kambhampati Professor Subbarao Kambhampati joined ASU in 1991. rao@asu.edu 480-965-0113 BYENG 560 http://rakaposhi.eas.asu.edu/rao.html Education Ph.D.,Computer Science, University of Maryland, 1989 Research interests Artificial intelligence, automated planning, machine learning, data and information integration Honors and awards NSF Research Initiation (1992) NSF Young Investigator (1994) College of Engineering Teaching Excellence award (2002) Fellow of Association of Advancement of Artificial Intelligence (2004) IBM Faculty Award (2004) Google Research Award (2008) Key activities Program Co-chair, AAAI 2005 Advisory board member, Journal of AI Research Executive Council of Intl. Conf. on Automated Planning & Scheduling May 16, 2018 CIDSE Subbarao Kambhampati ( ) Professor Dept. of Computer Science & Engg. ,(Office: BY560) Fulton School of Engineering Arizona State University , Tempe Arizona 85287-5406 Phone: (480) 965-0113, Fax: (480) 965-2751, Email: rao who lives at asu.edu (Past President, AAAI: Association for the Advancement of Artificial Intelligence) Research : Yochan | Students | Robots | Publications | Surveys | Yochan | Yochan-I3 | Model-lite | Planning List | Press Teaching : Student Comments | Intro to AI | Info. Integ | Grad AI | Planning | ASU101 | Outreach.. | YouTube Channel Personal : CV| Bio | Travel | Usenet Postings | Doctors in the family | Photos Other: Blog! | Bibfinder | QUIC/QPIAD | ET-I3 | ICAPS Festivus Tutorials : Preferences and Partial Satisfaction in Planning (AAAI-10) | Information Integration (AAAI-07) | Planning Graph Heuristics (IJCAI-07) | Learning for Planning (MLSS-06) | Advances in Planning (AAAI-00) | more.. Various media statements/interviews related to AI Challenges of Human-Aware AI Systems AAAI Presidential Address. (New Orleans, Feb 4, 2018) Rise of AI: Status, Thresholds, Risks & Rewards . FCC Forum on AI and ML. (Nov 30, 2018) Rise of AI: Status, Challenges, Impacts . A plenary public lecture given at TU Delft as part of ICAPS/CPAIOR 2018. (June 27, 2018) Our Relationship with AI Panel at the Computer History Museum, Mountain View, CA. September 2017. ( on YouTube ) The Rise of AI: Status, Thresholds, Attack Surfaces Presentation at National Academy of Science, August 2017. Vimeo Origins Great Debate on "Future of AI: Who is in Control?" My "Last Lecture": You Can't Do That, Dave! Collaeral Lessons from a Computational Quest to Design HAL Check me out on the AI episode (Episode 3) of Bill Nye Saves The World on Netflix! ..yet more public talks (with videos) Visitor number since yesterday. Subbarao Kambhampati (Rao) was born a long long time ago in Peddapuram in Andhra Pradesh, India. After formative education at "the school next to Cinema Hall" (where he liked the teacher of the 1st grade so much that he stayed in that class for 2nd and 3rd grades too), the "School behind Anjaneyaswamy Temple" (which has since been demolished to make way for a sweet stall), Sri Veeraraju High School (S.V. Highschool), and Sri Raja Vatsavaayi Buchchi Seetayamma Jagapati Bahaddur Maharanee College (S.R.V.B.S.J.B.M.R. College, no less!), he survived JEE and did his Bachelors in Electrical Engineering (Electronics!--although he still couldn't repair the tape recorder to his father's satisfaction) at the Indian Institute of Technology, Madras (Alakananda, Jamuna & Tapati). Continuing along his degree grabbing spree, he landed a Masters and a Ph.D. degree in Computer Science from the University of Maryland, College Park. After a brief post-doctoral stint at Stanford, Rao has been having a blast crawling up the faculty hierarchy in the Computer Science department at ASU since 1991. He started as a quarter professor, became a half Professor in 1996 and a FULL (!) Professor in 2000. Continuing this geometric rise, his current goal is to become two professors very soon (he is waiting for the furlough season to pass first though, lest he be hit with two furloughs). Rao directs the Yochan research group which is associated with the AI Lab at ASU. In the good old days, he used to be mostly interested in automated planning and related areas in AI. To support his mid-life crisis, to improve chances of schizophrenia, as well as to enter a world of continual conference deadlines, he decided to also diversify into data and information integration on the Web . He is the recipient of a 1992 NSF Research Initiation Award , a 1994 NSF young investigator award, a 2001-2002 College of Engineering teaching excellence award , and a 2004 IBM Faculty Award and multiple Google Research Awards (2007, 2010, 2013 & 2016). In 2004, he was named a Fellow of AAAI (Association for Advancement of Artificial Intelligence). In 2011, he was selected by ASU students to give a Last Lecture . In 2017, he was elected a fellow of the American Association for the Advancement of Science (AAAS) . In 2018, he was dubbed a "distinguished almnnus" by the Computer Science Department of University of Maryland, College Park. Within his department, he has been recognized both for his teaching ( Teacher of the year , 2012) and research (Best Researcher, 2005, 2017). He was an invited speaker at AAAI 1996 and ICAPS 2003. He also gave a couple of well received tutorials on planning and databases, including one on automated planning (AAAI-2000) , one on information integration on the web (AAAI-2002 and AAAI-2007) , and one on planning graph heuristics (ICAPS 2006, IJCAI 2007) . Click here Here Professional service: AAAI In 2013, Rao has been elected to the IJCAI Board of Trustees , and had great fun program-chairing the first-ever leap year edition of IJCAI 2016 that just concluded in New York. In the past, Rao served as the program co-chair for the 2005 National Conference on Artificial Intelligence AAAI-05 , which in the impartial opinion of many people such as him was the best AAAI ever (at least in 2005..). More, recently he co-chaired the 2010 AAAI special track on AI & Web , and served as a councilor for AAAI for a thr ee year term 2009-2012. He served as the conference committee chair for AAAI during 2012-2014. Rao served as the program co-chair for ICAPS 2013 and as an area chair for IJCAI 2013 . He will be a senior program committee member for AAAI and ICAPS in 2014. He also co-chaired the 2000 AI Planning and Scheduling (AIPS) Conference , sat on the exalted ICAPS executive committee (2002-2008). He is on the editorial board of ACM Transactions on Intelligent Systems and Technology and IEEE Intelligent Systems , and serves on the advisory board of JAIR (for which, he was an associate editor earlier). He also served on the editorial board for the AI Magazine. He had been on the progam committees of most AAAIs since 1992; all AIPS, (most) ECP and all ICAPS conferences, as well as a smattering of database conferences. He served on the senior program committees of AAAI 2006,2008,2011,2012 and IJCAI 2007 (area chair) and 2009. His professional service and his late-night TV viewing intersected for once recently when he agreed to run the first-ever Festivus at an academic conference! Publications: Here are online versions of Rao's (okay, mostly his students') publications. There is mounting evidence that at least some of these are actually read by others. One of them even received a runner-up award for 10 year influential paper at ICAPS 2010. You can also find Rao's tutorials/survey talks and such here Talks & Tutorials: Here are some of the recent overview talks and tutorials: Wittgenstein's papers and Faraday's talks: Maxims for a Milk-fed Researcher (An invited talk given at IJCAI 2013 Doctoral Consortium ) Back to the Future of Planning , talk at ACAI/ICAPS Summer School on Automated Planning and Scheduling Incomplete Domain Models, Uncertain Users and Open Worlds: Model-Lite Planning for Autonomy in the Presence of Humans , talk at ONR/IPAM Machine Reasoning workshop. Oct 2010. Preferences and Partial Satisfaction in Planning . A tutorial delivered at AAAI 2010 (with J. Benton and Jorge Baier). Incomplete domain models, uncertain users and open worlds: Foundations of Model-lite Planning Seminar at CMU Robotics Institute; 4/2/2010 ( Streaming video ) How to write a good paper (An invited mentoring talk at ICAPS 2009 Doctoral consortium) Real World Planning: Soft Constraints & Incomplete Models (Colloquium talk given at IHMC and WUSTL CSE during Sept/Oct 2007) and IIT Madras in July 2008. Slides ( pdf and ppt ) and Audio (WUSTL) . Human-Aware AI (talk given at UW seminar on "Future of AI" , Nov 2007) ( ppt and audio ) Do Robots need a Bill of Rights? (A Science Cafe Discussion with Attorney David Calverley at AZ Science Center, Nov 2007) ( Audio ). Learning for Planning , a tutorial given at ICAPS 2007 (joint with Sungwook Yoon). Information Integration on the Web (AAAI 2007 Tutorial with Craig Knoblock) Planning & Scheduling with Oversubscribed Resources, Preferences and Soft Constraints (AAAI 2007 Tutorial, with Minh Do and Terry Zimmerman) Planning Graph Based Reachability Heuristics (A tutorial given at ICAPS 2006 and IJCAI 2007; Joint with Dan Bryce) Learning & Planning (Lectures given at Machine Learning Summer School, Canberra, Feb 2006) Scaleup Revolution in Automated Planning (A colloquium given at RMIT, Melbourne, Feb 2006). Slides ( audio) Adaptive Information Integration A seminar given at USC/ISI (November, 2004) 1001 ways to skin a planning graph for Heuristic Fun and Profit (ICAPS invited talk, June 2003) Information Integration Tutorial (AAAI 2002; with Craig Knoblock) Integrating Planning and Scheduling: Status and Prospects. Invited talk at KBCS 2000, Bombay, India. Tutorial on automated planning (AAAI-2000; IJCAI-1999) Winning by being Lazy: Hierarchy, Abstraction and Least Commitment in the New-Age Planning (Invited talk at 1998 NIPS workshop on Reinforcement Learning) Refinement Planning: Status and Prospectus (AAAI 1996 Invited Talk) Teaching: Rao thinks it is way cool to get paid for filling space with the sound of his own voice. Some students seem to agree with him, going as far as to get him assorted teaching awards , or aggressively stuffing ballots to get him a Teacher of the Year nod. Others are more inscrutable, trying their best to make him give the last lecture . Here, at any rate, are student comments and beauty numbers from the teaching evaluations. Finally, here is an ornate statement of his teaching philosophy that Rao was asked to write for a teaching award nomination. Here is a bit of media coverage of Rao's teaching methods (and here he is trying to improve his publication count through letters to editor). . Most of his courses are available these days on his very own Youtube Channel : Markoviana CSE494: Information retrieval, mining and integration on the Internet. (senior level) CSE471: Intro to AI (Senior level) CSE574: Planning & Learning Planning in Stochastic, Dynamic, Metric & Incomplete Worlds CSE571: Artificial Intelligence (graduate level) ASU 101 Current Group Members: Faculty Collaborators, Postdocs & Visiting Scholars: Students: Lydia Manikonda (Fall 2013-) (Ph.D) Sailik Sengupta (Fall 2015-) IBM Ph.D. Fellowship (2018) Anagha Kulkarni (Fall 2015 -) (Ph.D.) Sarath Sreedharan (Fall 2016--)(Ph.D.) Recipient of the 2017 CSE Outstanding Masters Student award. Yantian Zha (Fall 2015-17:MS; Fall 2017: Ph.D.) Sachin Grover (Fall 2016; Ph.D. ) Sriram Gopalakrishnan (Fall 2017- ; Ph.D.) Alberto Olmo (Fall 2018- ; Ph.D.) Zahra Zahedi (Fall 2018- ; Ph.D.) Utkarsh Soni (Spring 2019- ; Ph.D.) Aditya Prasad Mishra (Spring 2018-; M.S.) Niharika Jain (Spring 2018- ; FURI; 4+1) ..not to forget Kramer, Newman and Sprinkles... Alumni: Visiting Scholars/PostDocs: Chao Qi, Huazhong University of Science and Technology (Visiting faculty scholar; Summer 2016-Summer 2017) Yu Zhang (Postdoc; Summer 2013--Summer 2015); Research Assistant Professor (Fall-- --2015-). Tenure Track Faculty Member; CIDSE; ASU (Fall 2016 -- ) Satya Gautam Vadlamudi (Postdoc; Spring 2015--Summer 2016) Hankz Hankui Zhuo (2012-2013) & (Spring-Fall 2015) (Faculty member; Sun Yat-sen University) Sungwook Yoon (2006-2008); was an Assistant Research Professor at ASU. Currently a Research Scientist at (Xerox) PARC, Palo Alto.. Ph.D.: Dr! Tathagata Chakraborty (Fall 2013-Fall 2018; Defended [Nov 5, 2018]). Defense Video ( Post-defense Celebration Photos ) (Ph.D) (Off to IBM Research) IBM Ph.D. Fellowship (2016-17) ( A news story ) IBM Ph.D. Fellowship (2017-18) Dr! Yuheng Hu (Spring 2010-) (Ph.D) Defended: [Nov 14, 2014] ( Video of the defense ) ( Slides(pptx)) (Dissertation) ; Ph.D. Candidacy: [December 12, 2013] ( video and slides from the proposal defense; (Ph.D) Faculty member, Dept of Information and Decision Sciences, University of Illinois, Chicago. Best Paper Honorable Mention, CHI 2013 Dr! Kartik Talamadupula (Spring 2007-) (Bachelors; Dec 2007)(M.S.-> Ph.D.(Fall 2008- ) Defended [Nov 6, 2014]. ( Video of the defense ) (Ph.D. Candidacy: [Nov 18, 2013]. Proposal presentation: ( video ) slides (pptx) slides (pdf) Dissertation . First Employment: IBM Watson Labs (Research Staff Member) CSE Distinguished Senior award, 2008. CRA Outstanding Undergraduate Student (honorable mention), 2008 ( local press ) 2 Recepient of FURI and CS UG Research grants) Science Foundation of Arizona (SFAZ) Fellow (2008). Dr! Sushovan De (Spring 2009-Spring 2014) Defended [May 20, 2014] ( Dissertation ) Ph.D. Candidacy: [July 12, 2013] ( video excerpt from the proposal defense) (Ph.D) First Employment: Google Dr! Tuan Anh Nguyen (Fall 2007-Spring 2014) (Ph.D) Defended [May 5, 2014] (Video of the defense: Part 1 (1h 3min) Part 2 (5 min) ) slides (pptx) slides (pdf) Dissertation . Ph.D. Candidacy: [Jul 18, 2012]. ( Proposal presentation video ) First Employment: Mathworks Science Foundation of Arizona (SFAZ) Fellow (2007) Dr! William Cushing (Spring 2004-Fall 2012) M.S. -> Ph.D. Ph.D. Candidacy: [Dec 2, 2011]. Defended: [Nov 16, 2012] ( Presentation Slides ; Video of the defense: Part 1 and Part 2 ; the dissertation ) ( Defense Photos ) First Employment: Post-doc at Berkeley (with Stuart Russell) Fulton Fellow for 2006-07 University Graduate Scholar 2006-07 Dr! J. Benton (Spring 2004-) (Defended M.S. thesis [Jul 19, 2005]). Ph.D. ( Defended successfully [Jul 18, 2012]) ( Photos ) ( Defense video ) , presentation slides and the dissertation . Currently, Senior Research Scientist, NASA AMES. Candidacy: 4/22/2011 (Presentation video and audio ) J. and his planner won a swanky cup and a certificate for distinguished performance at the 2006 Intl. Planning Competition . ARCS fellow for 2009. Dr! Raju Balakrishnan (Spring 2007-) Ph.D. ( Successfully defended [Jul 19, 2012]) ( Photos ) (Defense Video Part 1 and Part 2 ); the presentation slides and the dissertation . First Employment: Groupon Candidacy: 2/22/2011 (Presentation video and audio ) Recipient of Yahoo! Key Scientific Challenges Program Award (2009-10) . Recipient of WWW 2010 Best Poster Award . Dr! Menkes van den Briel (Spring 2003-) Ph.D. (Ph.C. since [Dec 15, 2005]) Defended Successfully [Jul 31, 2008] ( Thesis slides . audio) ) ( Pictures ) (First employment: Reseach faculty at Leeds School of Business, U. Colorado; Currently at NICTA Canberra) Recipient of an honorable mention for the 2009 ICAPS Best Dissertation Award. Menkes was in the news a lot once for his earlier work on effective strategies for airplane boarding. (He was even on Wall Street Journal front page recently; and also on Wired ;-) Dr. Dan Bryce (Summer 2002-) Ph.D. (Ph.C. since [Nov 18, 2005])(Defended [Apr 20, 2007]!) ( Thesis Slides . Audio ) ( Pictures ) (Currently on the faculty at Utah State University ) Recipient of the 2009 ICAPS Best Dissertation Award (Here is the talk video) (Some press at USU ) ARCS fellow for 2005 and 2006. Recipient of Deans scholarship for 2006. Recipient of Dissertation scholarship for 2007. CS dept nominee for the College outstanding graduate student award, 2007. Dr. Ullas Nambiar (Spring 2000-; Ph.D. Candidacy May 2004) Defended [Aug 15, 2005]! ( Thesis , Pictures ). IBM India Research Labs. Dr. Romeo Sanchez Nigenda(Fall 1999-Summer 2005; MCS & PhD). Defended successfully [Jul 18, 2005] (pics) , (Thesis) Ph.D. (Currently on the faculty at UANL ) (Was a Computer Scientist at USC Information Sciences Institute). Dr. Binh Minh Do (Spring 99-Fall 2004), Ph.D. (Defended Aug 6, 2004. Thesis, Pictures! ). (First Employment: PARC ). Currently Senior Research Scientist at NASA AMES P&S group. Recipient of the 2005 Dept of CSE Best PhD Award. ASU Nominee for ACM Distinguished Dissertation Award. ICAPS 2010 Influential Paper Award (Honorable mention) Dr. Zaiqing Nie (Fall 99-Spring 2004) Ph.D. (Defended Mar 12, 2004! Thesis ). (Currently Lead Researcher in Web Search & Mining at Microsoft Research cooking up Libra academic search engine). Dr. Terry Zimmerman Ph.D. (Defended Oct 24, 2003! See Thesis and pics ). (First Employment: Project Scientist, Robotics Institute, CMU ) Dr. Xiaomin Li (Ph.D. 2001). (Currently at Oracle) Dr. Biplav Srivastava (M.S. 96; Ph.D. 2000 Thesis ).( Defense pictures from 1/28/2000 ) (Senior Research Scientist at IBM India Research Labs, New Delhi, India) Dr. Amol Dattatreya Mali (Summer 96-Spring 99).(Associate Professor; University of Wisconsin, Milwaukee.) Dr. Laurie Ihrig (Ph.D. 96) (with Boeing) Masters: Sarath Sreedharan (Fall 2014-Summer 2016)(M.S.) Defended: [Jun 30, 2016] ( Thesis ) ( Presentation Slides ) ( Video of the Defense ) Recipient of the 2017 CSE Outstanding Masters Student award. Vignesh Narayanan (Spring 2014-)(M.S.) Defended: [Nov 10, 2015] ( Thesis ) ( Presentation Slides ) ( Video of the Defense ) Anirudh Acharya (Spring 2014-)(M.S.) Successfully defended [Jul 20, 2015]) (off to Yahoo!) Tejas Mallapura Umamaheshwar (Fall 2014-Summer 2015)(M.S.) Successfully defended [Jun 16, 2015]) (off to Mathworks) Mi Jun (Spring 2013--2015)(M.S.; RIP; passed away April 2015 ( InMemorium ) Manikandan Vijayakumar (Fall 2013-Summer 2014). (M.S.) Successfully defended [Jul 7, 2014]. ( Thesis ) ( Presentation Slides ) (Off to American Express) Preeth Inder Singh (Summer 2012--)(MS) (defended [Sep 16, 2013]). ( Thesis , Slides and Presentation video ) (Off to Bloomberg LP R&D) Srijith Ravikumar (Fall 2011--Spring 2013)(MS) (defended [Apr 18, 2013]). ( Thesis , Slides and Presentation video ) (Off to Amazon) Manishkumar Jha (Summer 2010-Summer 2011) (M.S.) (defended [Aug 26, 2011]) ( Thesis , Slides and Presentation video ) (Off to Amazon) Recipient of the 2012 Dept of CSE/SCI Outstanding Masters Student award. Rohit Raghunathan (Summer 2010-Summer 2011) (M.S.) (defended [Aug 19, 2011]) ( Thesis , Slides and Presentation video ) (Off to Amazon) Christopher White (Fall 2010-Summer 2011 ) (Integrated M.S.) defended [Jul 6, 2011] (Currently at Lockheed Martin) Sanil Salvi (Spring 2009-Fall 2010) (MCS) Nan Li (Primary advisor: Pat Langley) (2009)(MCS) Ravi Gummadi (co-advised with Pat Langley) (Fall 2007-09) (M.S.) defended [Aug 25, 2009] ( Thesis , slides . audio) ) (Currently at Facebook) Anupam Khulbe (co-advised with Pat Langley)(Fal 2007-09) (M.S.) Defended [Aug 25, 2009] ( Thesis and slides . audio) )(Currently at Amazon) Garrett Wolf (Spring 2006-Fall 2008) M.S.->Ph.D.->MCS Recipient of the 2009 Dept of CSE/SCI Outstanding Masters Student award. Fulton Fellow for 2007-08 Aravind Krishna Kalavagattu (Fall 2006-) M.S. Defended M.S. Thesis on [Jul 30, 2008]. ( Thesis , slides . audio) ) Off to Yahoo! Bhaumik Chokshi (Fall 2005-Sep 2007) M.S. Defended M.S. Thesis ( Thesis , slides . audio) ) on [Sep 11, 2007]). Off to Microsoft Adwords. Hemal Khatri (Spring 2005-Summer 2006) (Defended M.S. thesis ( Thesis , slides . audio) ) on [Jul 7, 2006]). Off to MSN Search) Recipient of the 2007 Dept of CSE/SCI Outstanding MS Student award. ( Pictures ). Jianchun Fan (Fall 2003-) Ph.D.->M.S. (Defended M.S. thesis ( Thesis , slides . audio) ) on [Apr 13, 2006]). Off to Amazon Thomas Hernandez (Spring 2003-Fall 2004) M.S. (Defended [Oct 21, 2004]!) Over at Amazon ( Thesis ) Recipient of the 2005 Dept of CSE Outstanding MS Student award. Sreelakshmi Vaddi MCS 2003. Xuan Long Nguyen (M.S. 2001 Thesis ). ( Faculty member in U. Michigan Statistics ) Senthil Gnanaprakasam (M.S. 2001 )(Intel) ( Thesis ) Eric Lambrecht (Summer 96-Summer 98). M.S. Thesis (Founded several internet companies) Yong Qu (M.S. 95; a run-of-the-mill millionaire at Microsoft) Eric Cohen (M.C.S. 93; with American Express or in Brazil) Dennis Chen (M.C.S. 93) Jeng-chin Chen (M.C.S. 92) Suresh Kumar Batchu (M.C.S. 95, Sun Microsystems->Google) Gopi Kumar Bulusu (M.C.S. 93; Head Honcho at Sankhya Systems, India) Suresh Katukam (M.S. 1995 Thesis ; with CISCO) Undergraduate Research Students: Aditya Deotale (Spring 2017-Spring 2018; FURI). Top Poster Prize; FURI Symposium; Spring 2018. award. Daniel D'Souza (Spring 2015-)(URAP,FURI). Honors thesis, Spring 2017. Gabriel Saba (Spring 2016-) Honors thesis, Spring 2017. Cameron Dudley (Spring 2016-) Jake Merdich (Summer 2015; URAP) Nathaniel Mendoza (Summer 2014-Spring 2015)(URAP; FURI) Sumbhav Sethia (Summer 2013-Fall 2014)(URAP; FURI) Wyatt Tyree (Summer 2014-Fall 2014)(URAP) Paul Reesman (Summer 2013)(URAP) Matthew Mellott (Fall 2012--Spring 2013)(NSF REU, FURI Scholar) Nicole Ang (Fall 2012)(NSF REU) James Fiacco (Fall 2011) (FURI Scholar) Alex Wallace (Summer 2009-Spring 2010) (B.S. honors thesis. Thesis ) (Currently at U. Arizona Med school) Chris White (Fall 2009-Spring 2010) (B.S. honors thesis)(Continued for Integrated M.S.) Alan Hogan (Spring 2008) (Undergraduate FURI Scholar) Kartik Talamadupula (Spring 2007-) (Bachelors; Dec 2007)(Continued for PhD) CSE Distinguished Senior award, 2008. CRA Outstanding Undergraduate Student (honorable mention), 2008 ( local press ) Recepient of FURI and CS UG Research grants) Science Foundation of Arizona (SFAZ) Fellow (2008). Wes Dyer (Spring 2004-) Undergraduate (honors thesis) ( Thesis ) (Currently at Microsoft). High School Interns: Thomas Liu, McClintock High School. Summer 2011. Work on SAT phase transitions lead to Siemens Semifinalist recognition Visitors etc.: Andrew Dudley (Fall 2017-Spring 2018 Elan Markov (Fall 2016-Spring 2017) Vamsi Meduri (Spring 2015-Fall 2015) (Ph.D) Vivek Dondeti, Fall 2015 Taeyeong Choi, Fall 2015 Divya Mokkapati, Spring 2015 Chao Zhou Ph.D. Student from Huazhong University of Science and Technology, China. Jing Shan, Ph.D. Student from Northeastern University, China. Bram Ridder (Visitor from U. Strathclyde Planning Group; Fall 2010) T.K. Satish Kumar (Visitor from Stanford KSL during Summer 2002) Romain Trinquart (Visitor from LAAS, France during Fall 2001) Jillian Nottingham (Fall 98-Fall 99), (Non-degree) David Copeland (Non-degree) Yannick Meiller (Non-degree; doing Ph.D. in Toulouse, France) Bilal Muzaffar (Summer 95-Spring 96) Xiuping Yang (Fall 95-Summer 96) (SAP) Doctors in the Family: A doctor with a similar background ;-) My sister, a pediatrician, who is the only real doctor in the extended family My brother, an economist, who does real planning My sister-in-law a mathematical economist My sister-in-law, an engineer at Ford My brother-in-law, a mechanical engineering professor Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Subbarao Kambhampati Home Directory and Research Directory Faculty Kambhampati, Subbarao Professor Subbarao Kambhampati joined ASU in 1991. rao@asu.edu 480-965-0113 BYENG 560 http://rakaposhi.eas.asu.edu/rao.html Education Ph.D.,Computer Science, University of Maryland, 1989 Research interests Artificial intelligence, automated planning, machine learning, data and information integration Honors and awards NSF Research Initiation (1992) NSF Young Investigator (1994) College of Engineering Teaching Excellence award (2002) Fellow of Association of Advancement of Artificial Intelligence (2004) IBM Faculty Award (2004) Google Research Award (2008) Key activities Program Co-chair, AAAI 2005 Advisory board member, Journal of AI Research Executive Council of Intl. Conf. on Automated Planning & Scheduling May 16, 2018 CIDSE CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4304.txt b/src/data/compiled_bios/4304.txt new file mode 100644 index 0000000000..da822ca3a5 --- /dev/null +++ b/src/data/compiled_bios/4304.txt @@ -0,0 +1 @@ +Yoshihiro Kobayashi Lecturer Yoshihiro Kobayashi received a Ph.D. degree with a major in Architecture on Design Computation and a minor in Computer Science from the University of California, Los Angeles, in 2001. After completing the program, he worked at Arizona State Universitys School of Architecture for 8 years teaching a series of courses on computer programming languages including 2-D/3-D application development, information management, algorithmic design, and fabrications. At ASU, he completed several interdisciplinary research projects funded more than $100K and advised M.S. and Ph.D. students from architecture, urban planning, design and art, electric engineering, and computer science programs. Outside of ASU, Kobayashi has chaired several symposiums and workshops and also organized an international research group with sixteen professors who are exploring methods for virtual reality (VR) urban modeling and visualization. He has published more than 50 technical and design papers on design computation in architecture. Kobayashi currently teaches game development courses as a focal coordinator for the Game Certificate program at CIDSE. ykobaya@asu.edu 480-965-3708 BYENG 354 http://www.yoshikobayashi.com Research interests Game design, game development, digital fabrication, AI in design, virtual reality, building information modeling, procedural modeling, computer graphics, PRISM Lab at ASU Honors and awards IFC Award at Build Live Tokyo 2010 Technical Award, 7th VR Simulation Contest 2008 Honorable Judge Award, 6th VR Simulation Contest 2007 Best Award on CG Animation, JAPAN CG Grand Prix 1994 SANAE Prize, Waseda University, 1994 Best Graduate Essay Award in Dep. of Arch., Waseda Univ, 1992 May 18, 2016 CIDSE Dr. Yoshihiro Kobayashi Science of Designing Top Blog Profile CV Teaching Philosophy Research Interests Reference Publication ArtGallery Download Game Development requires a skill set of both professional 3D modeling & animation, and senior level programming. My specialty is on procedural modeling in MaxScript and on game development in Unity. Projection Mapping is one of the hot media art projects to project digital contents on real 3d objects such as buildings, sculpture, and nature. I am involved in the Projection Mapping Association in Japan, and joined the Zushi Media Art Festival 2012. Procedural Architectural Modeling is one of the scientific research topics in 3d graphics. I have been involved in several funded projects and published technical papers on the topic. Refer to the Siggraph Asia 2011 Architecture I designed several buildings and houses in Japan as a freelance architect. I also worked at the architecture firm: Architect Yoshiro Ikehara, who is one of the National Member of Art in Japan. VR and Simulation on urban and city issues need a wide interdisciplinary knowlege. The World16 is a world-wide research group to propose future SIM & VIZ tools on Flood, Traffics, Energy, and building information modeling (BIM). Refere to the World16 Web page. AI and Image Processing is my dissertation topic. I am interested in using AI technologies such as neural networks, Genetic algorithm, fuzzy systems and image processing in practical design process. Admin Login Powered by Catalyst Copyright 2019 Dr. Yoshihiro Kobayashi Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Yoshihiro Kobayashi Home Directory and Research Directory Faculty Kobayashi, Yoshihiro Lecturer Yoshihiro Kobayashi received a Ph.D. degree with a major in Architecture on Design Computation and a minor in Computer Science from the University of California, Los Angeles, in 2001. After completing the program, he worked at Arizona State Universitys School of Architecture for 8 years teaching a series of courses on computer programming languages including 2-D/3-D application development, information management, algorithmic design, and fabrications. At ASU, he completed several interdisciplinary research projects funded more than $100K and advised M.S. and Ph.D. students from architecture, urban planning, design and art, electric engineering, and computer science programs. Outside of ASU, Kobayashi has chaired several symposiums and workshops and also organized an international research group with sixteen professors who are exploring methods for virtual reality (VR) urban modeling and visualization. He has published more than 50 technical and design papers on design computation in architecture. Kobayashi currently teaches game development courses as a focal coordinator for the Game Certificate program at CIDSE. ykobaya@asu.edu 480-965-3708 BYENG 354 http://www.yoshikobayashi.com Research interests Game design, game development, digital fabrication, AI in design, virtual reality, building information modeling, procedural modeling, computer graphics, PRISM Lab at ASU Honors and awards IFC Award at Build Live Tokyo 2010 Technical Award, 7th VR Simulation Contest 2008 Honorable Judge Award, 6th VR Simulation Contest 2007 Best Award on CG Animation, JAPAN CG Grand Prix 1994 SANAE Prize, Waseda University, 1994 Best Graduate Essay Award in Dep. of Arch., Waseda Univ, 1992 May 18, 2016 CIDSE CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4305.txt b/src/data/compiled_bios/4305.txt new file mode 100644 index 0000000000..c67d027569 --- /dev/null +++ b/src/data/compiled_bios/4305.txt @@ -0,0 +1 @@ +Joohyung Lee Associate Professor Joohyung Lee has been at ASU since 2005.His current research and teaching interests are in logic-based Artificial Intelligence. He works on knowledge representation and reasoning (studying how to encode knowledge into computers and let computers do reasoning like humans based on the encoded knowledge), logic programming (how to use logic directly as a programming language), common-sense reasoning (how to endow commonsense to computers) and declarative programming methods (programming focusing on what is to be computed, rather than how to compute it). joolee@asu.edu 480-965-2784 BYENG 586 Education B.S.E., Computer Engineering, Seoul National University, 1998 Ph.D., Computer Science, University of Texas at Austin, 2005 Research interests Knowledge representation and reasoning, computational logic, logic programming, logics in security, computational semantics of natural language Honors and Awards AAAI 2004 Outstanding Paper Honorable Mention Award Key Activities Co-chair of ASPOCP 2008, 2009 AAAI 2010 KR 2010 JELIA 2010 NMR 2010 Nonmon@30 IJCAI 2009 LPNMR 2009 Commonsense 2009 AAAI 2008 NMR 2008 February 23, 2015 CIDSE Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Joohyung Lee Home Directory and Research Directory Faculty Lee, Joohyung Associate Professor Joohyung Lee has been at ASU since 2005.His current research and teaching interests are in logic-based Artificial Intelligence. He works on knowledge representation and reasoning (studying how to encode knowledge into computers and let computers do reasoning like humans based on the encoded knowledge), logic programming (how to use logic directly as a programming language), common-sense reasoning (how to endow commonsense to computers) and declarative programming methods (programming focusing on what is to be computed, rather than how to compute it). joolee@asu.edu 480-965-2784 BYENG 586 Education B.S.E., Computer Engineering, Seoul National University, 1998 Ph.D., Computer Science, University of Texas at Austin, 2005 Research interests Knowledge representation and reasoning, computational logic, logic programming, logics in security, computational semantics of natural language Honors and Awards AAAI 2004 Outstanding Paper Honorable Mention Award Key Activities Co-chair of ASPOCP 2008, 2009 AAAI 2010 KR 2010 JELIA 2010 NMR 2010 Nonmon@30 IJCAI 2009 LPNMR 2009 Commonsense 2009 AAAI 2008 NMR 2008 February 23, 2015 CIDSE CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4306.txt b/src/data/compiled_bios/4306.txt new file mode 100644 index 0000000000..f021cef480 --- /dev/null +++ b/src/data/compiled_bios/4306.txt @@ -0,0 +1 @@ +Yann-Hang Lee Professor Yann-Hang Lee joined ASU in 2000. Before then he was a professor at the University of Florida, Gainesville. Lees research interests have centered on real-time embedded systems over the past few years. These systems have been a focus of growing interest in science and engineering disciplines. They have emerged as intelligent controllers in many large-scale infrastructure networks and coordinated subsystems on which our society and daily lives depend. Lees research explores scientific principles and technology to renew the development approaches for real-time embedded systems of a broad range of applications, including effective analysis, design and implementation methods to meet system requirements and application characteristics. yhlee@asu.edu 480-727-7507 Centerpoint 202-23 http://rts-lab.eas.asu.edu Education Ph.D., Computer and Information Engineering,University of Michigan, Ann Arbor, 1985 M.S., Electrical, Computer, System Engineering,Rensselaer Polytechnic Institute, 1982 B.S., Engineering Science,National Cheng Kung University, 1973 Research interests Real-time computing, embedded system and software, fault-tolerant computing, distributed computing, and service-oriented computing Honors and awards Best Paper Award ISEQED 2008 Outstanding Paper AwardMIXDES 2001 Key activities Keynote SNPD(07) and CAINE(06) Co-Chair ICESS(07) Advisory and Publicity Committee ISORC(06) Steering Committee SEUS(06) PC WESE(06, 07, 08), SCC(06), IWEC(06), ESO(06), IWSSPS(06), SOCA(07), ICOIN(07), SEC(07), SAC(06) February 23, 2015 CIDSE Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Yann-Hang Lee Home Directory and Research Directory Faculty Lee, Yann-Hang Professor Yann-Hang Lee joined ASU in 2000. Before then he was a professor at the University of Florida, Gainesville. Lees research interests have centered on real-time embedded systems over the past few years. These systems have been a focus of growing interest in science and engineering disciplines. They have emerged as intelligent controllers in many large-scale infrastructure networks and coordinated subsystems on which our society and daily lives depend. Lees research explores scientific principles and technology to renew the development approaches for real-time embedded systems of a broad range of applications, including effective analysis, design and implementation methods to meet system requirements and application characteristics. yhlee@asu.edu 480-727-7507 Centerpoint 202-23 http://rts-lab.eas.asu.edu Education Ph.D., Computer and Information Engineering,University of Michigan, Ann Arbor, 1985 M.S., Electrical, Computer, System Engineering,Rensselaer Polytechnic Institute, 1982 B.S., Engineering Science,National Cheng Kung University, 1973 Research interests Real-time computing, embedded system and software, fault-tolerant computing, distributed computing, and service-oriented computing Honors and awards Best Paper Award ISEQED 2008 Outstanding Paper AwardMIXDES 2001 Key activities Keynote SNPD(07) and CAINE(06) Co-Chair ICESS(07) Advisory and Publicity Committee ISORC(06) Steering Committee SEUS(06) PC WESE(06, 07, 08), SCC(06), IWEC(06), ESO(06), IWSSPS(06), SOCA(07), ICOIN(07), SEC(07), SAC(06) February 23, 2015 CIDSE CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4307.txt b/src/data/compiled_bios/4307.txt new file mode 100644 index 0000000000..36ebf61c37 --- /dev/null +++ b/src/data/compiled_bios/4307.txt @@ -0,0 +1 @@ +Baoxin Li Baoxin Li is currently a professor and the chair of the Computer Science & Engineering Program and a Graduate Faculty Endorsed to Chair in the Electrical Engineering and Computer Engineering programs. From 2000 to 2004, he was a Senior Researcher with SHARP Laboratories of America, where he was the technical lead in developing SHARPs HiIMPACT Sports technologies. He was also an Adjunct Professor with the Portland State University from 2003 to 2004. His general research interests are on visual computing and machine learning, especially their application in the context of human-centered computing. He won twice SHARP Labs Presidents Awards, in 2001 and 2004 respectively. He also won SHARP Labs Inventor of the Year Award in 2002. He is a recipient of the National Science Foundations CAREER Award. He holds 16 issued US Patents. His work has been featured on NY Times, EE Times, MSNBC, Discovery News, ABC News, Gizmodo India, and many other media sources. Baoxin.Li@asu.edu 480-965-1735 BYENG 502 www.public.asu.edu/~bli24 Education Ph.D.,Electrical Engineering, University of Maryland, 2000 Research interests Computer vision and pattern recognition, image/video processing, statistical methods in visual computing Honors and awards NSF Career Award, 2009 Key activities PC Member: CVPR 2008, ACM-MM 2008 (Content Track), ISS 2009, ICME 2007 TPC Chair: VPQM 2006 and 2007 Organizing Committee & Finance Chair: CIVR 2006, ICIP 2008 Editorial Board & Area Editor, Signal Processing: Image Communications May 17, 2017 CIDSE Research Publications Source Code Teaching Other Professional Activities Welcome to Prof. Baoxin Li's Webpage if !vml endif if !vml endif S pg 2012 office hours: Mon: 3:50-4:50pm, Tues: 1:30-2:30pm Baoxin Li (Short Bio) Professor & Chair Computer Science & Engineering Program ( Ranking ) Arizona State University Tempe, AZ 85287-8809 Tel: (480) 965-1735 email: baoxin.li at asu.edu Affiliated centers/programs: CUbiC: Center for Cognitive Ubiquitous Computing AME: Arts, Media, and Engineering Program CASCADE: Center for Assured and Scalable Data Engineering See our book on Dictionary Learning in Visual Computing New! A forthcoming book on: Convolutional Neural Networks in Visual Computing: A Concise Guide Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Baoxin Li Home Directory and Research Directory Faculty Li, Baoxin Baoxin Li is currently a professor and the chair of the Computer Science & Engineering Program and a Graduate Faculty Endorsed to Chair in the Electrical Engineering and Computer Engineering programs. From 2000 to 2004, he was a Senior Researcher with SHARP Laboratories of America, where he was the technical lead in developing SHARPs HiIMPACT Sports technologies. He was also an Adjunct Professor with the Portland State University from 2003 to 2004. His general research interests are on visual computing and machine learning, especially their application in the context of human-centered computing. He won twice SHARP Labs Presidents Awards, in 2001 and 2004 respectively. He also won SHARP Labs Inventor of the Year Award in 2002. He is a recipient of the National Science Foundations CAREER Award. He holds 16 issued US Patents. His work has been featured on NY Times, EE Times, MSNBC, Discovery News, ABC News, Gizmodo India, and many other media sources. Baoxin.Li@asu.edu 480-965-1735 BYENG 502 www.public.asu.edu/~bli24 Education Ph.D.,Electrical Engineering, University of Maryland, 2000 Research interests Computer vision and pattern recognition, image/video processing, statistical methods in visual computing Honors and awards NSF Career Award, 2009 Key activities PC Member: CVPR 2008, ACM-MM 2008 (Content Track), ISS 2009, ICME 2007 TPC Chair: VPQM 2006 and 2007 Organizing Committee & Finance Chair: CIVR 2006, ICIP 2008 Editorial Board & Area Editor, Signal Processing: Image Communications May 17, 2017 CIDSE CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4308.txt b/src/data/compiled_bios/4308.txt new file mode 100644 index 0000000000..e8a94ae6a1 --- /dev/null +++ b/src/data/compiled_bios/4308.txt @@ -0,0 +1 @@ +Jing Li Associate Professor Jing Li received her B.S. in Civil Engineering from Tsinghua University, China, in 2000, an M.A. in Statistics and a Ph.D. in Industrial and Operations Engineering from the University of Michigan in 2006 and 2007, respectively. Lis research interests include applied statistics, data mining, causal modeling and inference for process control. Her recent research focuses on modeling and analyzing massive high-dimensional datasets in complex systems for improving the quality of products and processes. Her work has been applied to manufacturing and public health problems. Li is a member of the Institute for Operations Research and the Management Sciences (INFORMS) and the Institute of Industrial Engineers (IIE). jinglz@asu.edu 480-965-0125 BYENG 310 http://www.public.asu.edu/~jli09/ Education Ph.D.,Industrial & Operations Engineering, University of Michigan, 2006 Research interests Statistical learning, data mining, biomedical and health informatics, quality and reliability engineering Honors and awards Best Paper Award in Quality & Reliability, 2008 Key activities Member-Institute for Operations Research and the Management Sciences (INFORMS) Member- Institute of Industrial Engineers (IIE) January 7, 2016 CIDSE if !vml endif if !supportLists endif Home if !supportLists endif Research if !supportLists endif Publications CV Jing Li, Ph.D. Associate Professor in Industrial Engineering Co-founder of ASU-Mayo Clinic Center for Innovative Imaging School of Computing, Informatics, and Decision Systems Engineering Arizona State University Tempe, AZ 85287-8809 Ph.D. Industrial and Operations Engineering, University of Michigan M.S. Statistics, University of Michigan B.S. Civil Engineering, Tsinghua University if !vml endif Office: BYENG 310 Phone: 480-9650125 Email: jinglz@asu.edu Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Jing Li Home Directory and Research Directory Faculty Li, Jing Associate Professor Jing Li received her B.S. in Civil Engineering from Tsinghua University, China, in 2000, an M.A. in Statistics and a Ph.D. in Industrial and Operations Engineering from the University of Michigan in 2006 and 2007, respectively. Lis research interests include applied statistics, data mining, causal modeling and inference for process control. Her recent research focuses on modeling and analyzing massive high-dimensional datasets in complex systems for improving the quality of products and processes. Her work has been applied to manufacturing and public health problems. Li is a member of the Institute for Operations Research and the Management Sciences (INFORMS) and the Institute of Industrial Engineers (IIE). jinglz@asu.edu 480-965-0125 BYENG 310 http://www.public.asu.edu/~jli09/ Education Ph.D.,Industrial & Operations Engineering, University of Michigan, 2006 Research interests Statistical learning, data mining, biomedical and health informatics, quality and reliability engineering Honors and awards Best Paper Award in Quality & Reliability, 2008 Key activities Member-Institute for Operations Research and the Management Sciences (INFORMS) Member- Institute of Industrial Engineers (IIE) January 7, 2016 CIDSE CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4309.txt b/src/data/compiled_bios/4309.txt new file mode 100644 index 0000000000..d7a464985c --- /dev/null +++ b/src/data/compiled_bios/4309.txt @@ -0,0 +1 @@ +Tim Lindquist Professor Tim Lindquist joined ASU in 1985, and served the department of computer science and engineering at the Tempe campus as faculty member and associate chair. In 2000, he moved to the polytechnic campus where he has served as department chair, associate dean, director of computing studies, and interim dean of the college of science and technology. He has authored over 60 publications related to his research interests in software engineering for distributed and mobile systems, Web applications, and programming languages. In addition to summer faculty research appointments with the navy, and serving as a visiting scientist with the Institute for defense analyses, he was selected to serve on a NATO team to define software standards. He has been involved with ABET computer science accreditation for over a decade, and has served as a team chair and member of the ABET computing accreditation commission. Tim.Lindquist@asu.edu 480-727-2783 Peralta 230D http://quay.poly.asu.edu Education Ph.D., Computer Science, Iowa State University, 1979 M.S., Computer Science, Iowa State University, 1977 B.S., Math/Computer Science, Purdue University, 1973 Research interests Software Engineering, distributed and mobile systems, Web applications, and programming languages. Honors and awards Professor of the Year, Corporate Leaders Program (2003) Key activities ABET Program Evaluator (2004-) ABET Computing Accreditation Commission member (2009-2014) ASEE/Navy Summer Faculty Fellow (1999, 2001) Visiting Professor, CRIN-CNRS-LORIA, Nancy France (1993) Visiting Scientist, Institute for Defense Analyses (1991) May 2, 2017 Erik Wirtanen Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Tim Lindquist Home Directory and Research Directory Faculty Lindquist, Tim Professor Tim Lindquist joined ASU in 1985, and served the department of computer science and engineering at the Tempe campus as faculty member and associate chair. In 2000, he moved to the polytechnic campus where he has served as department chair, associate dean, director of computing studies, and interim dean of the college of science and technology. He has authored over 60 publications related to his research interests in software engineering for distributed and mobile systems, Web applications, and programming languages. In addition to summer faculty research appointments with the navy, and serving as a visiting scientist with the Institute for defense analyses, he was selected to serve on a NATO team to define software standards. He has been involved with ABET computer science accreditation for over a decade, and has served as a team chair and member of the ABET computing accreditation commission. Tim.Lindquist@asu.edu 480-727-2783 Peralta 230D http://quay.poly.asu.edu Education Ph.D., Computer Science, Iowa State University, 1979 M.S., Computer Science, Iowa State University, 1977 B.S., Math/Computer Science, Purdue University, 1973 Research interests Software Engineering, distributed and mobile systems, Web applications, and programming languages. Honors and awards Professor of the Year, Corporate Leaders Program (2003) Key activities ABET Program Evaluator (2004-) ABET Computing Accreditation Commission member (2009-2014) ASEE/Navy Summer Faculty Fellow (1999, 2001) Visiting Professor, CRIN-CNRS-LORIA, Nancy France (1993) Visiting Scientist, Institute for Defense Analyses (1991) May 2, 2017 Erik Wirtanen CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/431.txt b/src/data/compiled_bios/431.txt new file mode 100644 index 0000000000..90b9fa2f92 --- /dev/null +++ b/src/data/compiled_bios/431.txt @@ -0,0 +1 @@ +Research Areas: Natural Language Processing and Deep Learning Associate Professor Siu Cheung HUI asschui@ntu.edu.sg http://www.ntu.edu.sg/home/asschui/ Principal Interests and Expertise Natural Language Processing, Machine Learning, Data Mining, Deep Learning Intelligent Recommendation, Sentiment Analysis, Information Retrieval Question Answering, Text Matching, Automatic Essay Grading Representative Papers Yi Tay, Anh Tuan Luu, Siu Cheung Hui, Recurrently Controlled Recurrent Networks, Proceedings of NIPS 2018, Montreal, Canada. Yi Tay, Anh Tuan Luu, Siu Cheung Hui, Co-Stack Residual Affinity Networks with Multi-level Attention Refinement for Matching Text Sequences, Proceedings of EMNLP 2018, Brussels, Belgium. Yi Tay, Anh Tuan Luu, Siu Cheung Hui, Jian Su, Reasoning with Sarcasm by Reading In-between, Proceedings of ACL 2018, Melbourne, Australia. Yi Tay, Anh Tuan Luu, Siu Cheung Hui, Multi-Pointer Co-Attention Networks for Recommendation, Proceedings of KDD 2018, London, UK. Yi Tay, Anh Tuan Luu, Siu Cheung Hui, Latent Relational Metric Learning via Memory-based Attention for Collaborative Ranking, Proceedings of WWW 2018, Lyon, France. Yi Tay, Anh Tuan Luu, Siu Cheung Hui, Hyperbolic Representation Learning for Fast and Efficient Neural Question Answering, Proceedings of WSDM 2018, Los Angeles, USA. diff --git a/src/data/compiled_bios/4310.txt b/src/data/compiled_bios/4310.txt new file mode 100644 index 0000000000..9267a7df47 --- /dev/null +++ b/src/data/compiled_bios/4310.txt @@ -0,0 +1 @@ +Huan Liu Professor Huan Liu joined ASU in 2000 after conducting research in Telecom (Telstra) Australia Research labs and teaching at the National University of Singapore. He has extensive experience in research and development.Lius research and teaching focuses on machine learning (ensemble methods, active learning, rule extraction, feature selection and discretization, subspace clustering), data mining (data quality and integration, stream data reduction, bioinformatics, algorithm scaling-up) and real world applications (CRM, Egeria detection in imagery, intelligent driving data analysis, recommender systems). huan.liu@asu.edu 480-727-7349 BYENG 566 http://www.public.asu.edu/~huanliu Education Ph.D., Computer Science, University of Southern California, 1989 M.S., Computer Science, University of Southern California, 1985 B.Eng., CS and Electrical Engineering, Shanghai Jiaotong University, 1983 Research interests Social computing, data/web mining, machine learning, feature selection, text classification Honors and awards Most Influential Paper Award, PAKDD, 2010 Key activities Co-chair for SIAM Data Mining 2009, Conference, Co-chair for PAKDD 2008, Founding co-organizer of workshop series of Social Computing (SBP08 and SBP09) Editorial Board and Advisory Board member for handbook and journals February 23, 2015 CIDSE Research Teaching Services Publications Resources Graduate Students Home Huan Liu, Professor Computer Science and Engineering School of Computing, Informatics, and Decision Systems Engineering Ira A. Fulton Schools of Engineering , Arizona State University PO Box 878809, Tempe , AZ 85287-8809, U.S.A. Brickyard Suite 553 (CIDSE), 699 South Mill Ave, Tempe, AZ 85281 for FedEx type mails phone: 480-727-7349(voice) 480-965-2751(fax) E-mail: huan.liu at asu.edu; Calendar Free Download Textbook Social Media Mining: An Introduction Cambridge University Press , 2014 Chinese Translation , 2015 A Chinese Blog of Introduction Data Mining and Machine Learning Lab Social Computing Feature Selection , scikit-feature Python repositor y S ocial Computing, Behavioral-Cultural Modeling, and Prediction Series ASU Computer Science Program Ranking Office Location and Office Hours Brickyard 566 MW 10:15 - 11:15am Other times by appointment only Directions to CSE, SCIDSE Professional Activities, Keynotes, & Invited Talks Classes in Fall 2018 CSE472 Social Media Mining MW 9:00AM - 10:15AM , BAC110 Line number: 93612, 8/16/2018 - 11/30/2018 https://myasucourses.asu.edu CV Short Bio Professional Memberships ACM (Fellow) AAAI (Fellow) AAAS (Fellow) IEEE (Fellow) ASEE , SIAM Research InterestsNew Surveys: Learning Causality with Data: Problems and Methods 2018, Privacy in Social Media: Identification, Mitigation and Applications , 2018; New Book: Feature Engineering for Machine Learning and Data Analytics 2018; Frontiers in Big Data, Data Mining & Management 201 8 His research focuses on developing computational methods for data mining, machine learning, and social computing, and designing efficient algorithms to enable effective problem solving ranging from basic research, text/Web mining, bioinformatics, image mining, to real-world applications. His work includes (i) dealing with high dimensional data via feature selection and feature discretization; (ii) social media mining /social computing, identifying the influentials in the blogosphere, group profiling and interaction; (iii) integrating multiple data sources to overcome ambiguity and uncertainty, (iv) employing domain knowledge for effective mining and information integration, and (v) assisting human experts by developing effective methods of ensemble learning, and active learning with hierarchical classification, subspace clustering, and meta data. Detailed information can be obtained via his publications and professional activities. Associated with the AI lab at ASU; anaffiliated faculty with Institute of Social Science Research at ASU Graduate Students, Visiting Scholars, and Research Projects DMML Group Pictures Self m otivated students looking for exciting projects can find more information here . Weekly lab meetings are held on Fridays. Related News A non-compromising approach to privacy-preserving personalized services , KdNuggets, January 8, 2019 Algorithmic Detection of Fake News , Data Skeptic, September 10, 2018 The Data Defenders , ASU Now, March 27, 2018 (ASU Thrive Magazine, Spring 2018) A Quick Guide to Fake News Detection on Social Media, KDNuggets, Oct. 10, 2017 , Most Shared Last Week , Blog in Chinese Measuring Topic Interpretability with Crowdsourcing, KDNuggets, Nov. 30, 2016 Mining Rich Data Types , KDD2016, August, 2016; Misinformation Key Terms, Explained, KDNuggets, August, 2016 scikit-feature , news blog , KDNuggets , 5 ML Projects MAP Essay on Information Filtering in Social Media During Disasters , June 23, 2016 When you'll protest on Twitter , India Times Tech ASU's TweetTracker helps make sense of social media data , November 25, 2015 Instant Understanding of Social Media Mining (Chinese), November 14, 2015 ` `Challenges in Evaluating Big Social Media Data ", April 13, 2015, Big Data and Data Analytical Platforms at ODBMS.org IEEERoundup, `` How to Mine Social Media ", September 11, 2014 irevolution.net, Crowdsourcing Crisis Information, May 30, 2013 New Scientist, Finding Right Twitter Users in a Crisis, March 20, 2013 LifeWeek (SanLian ShengHuo ZhouKan), May 11, 2012 New Scientist, April 13, 2012 ReadWriteWeb , New Scientist , Toronto Star , August 2011, User Vulnerability in a Social Media Network Software or Data Downloads TweetTracker ( Demo ) and TweetXplorer Demo scikit-feature , an open-source feature selection repository in Python, news blog , KDNuggets SlangDB - A Sentiment Dictionary for Slang Words ACT - a Social Media coordination platform for Humanitarian Assistance and Disaster Relief Social-Dimension Approach to Classification in Large-Scale Networks Group Structure and Evolution in Heterogeneous Network (Datasets and Information) Influential Bloggers (Dataset and Information) INTERACT for finding interacting features SCuBA for subspace clustering FCBF for feature selection Feature discretization RSVP (contact Alan "zheng.zhao at asu.edu" for installation and implementation details) ACM WSDM2019 Tutorial on Fake News: Fundamental Theories, Detection Strategies and Challenges , February 2019, Melbourne, Australia. pdf IEEE ICDM2017 Tutorial on Mining Misinformation in Social Media: Understanding Its Rampant Spread, Harm, and Intervention, November 21, 2017, New Orleans, Louisiana. Slides SIGKDD2017 Tutorial on Recent Advances in Feature Selection: A Data Perspective , August 13, 2017, Halifax, Nova Scotia, Canada. pdf AAAI 2017 Tutorial on Social Data Bias in Machine Learning: Impact, Evaluation, and Correction , February 4-5, 2017, San Francisco, CA. SBP2016 Tutorial on Misinformation on Social Media: Diffusion, Detection, and Intervention, June 28, 2016, Washington DC. Blog on KDnuggets ASONAM2015 Tutorial on Bot Detection in Social Media: Networks, Behavior, and Evaluation , August 25, 2015, Paris, France. DragonStar Lecture 2015 in Guilin on Data Mining and Some Advanced Topics July 9 - July 14, 2015 WWW2015 Tutorial on LIKE and Recommendation in Social Media (slides available) R ecSys2014 Tutorial on Personalized Location Recommendation on Location Based Social Networks, slides SIGKDD14 Tutorial on Recommendation in Social Media - Recent Advances and New Frontiers, slides PAKDD2014 Tutorial on Mining Spammers in Social Media: Techniques and Applications, slides WWW2014 Tutorial on Trust in Social Computing, slides ICDM 2013 Tutorial on Social Media Mining: Fundamental Issues and Challenges, slides INFORMS 2012 Tutorial on Mining Social Media - A Brief Introduction, slides International Conference on Social Computing 2009 Tutorial on Community Detection and Behavior Prediction for Social Computing , ppt KDD08 Tutorial on Blogosphere: Research, Tools, and Applications , video SIAM Data Mining SDM 2007 Tutorial on Dimensionality Reduction for Data Mining - Techniques, Applications, and Trends AAAI 2005 Tutorial Notes on Downsizing Data for High Performance in Learning - Feature Selection Methods: pdf.zip Call for Chapters, Papers, Nominations, or Tutorial/Workshop Proposals: Frontiers in Big Data , Data Mining and Management , How to Submit SDM2019 Workshop on ``FEND : Data Mining for F ak E N ews in Social Media: Propagation, D etection and Mitigation", CFP IEEE Big Data 2018, CFP SIGKDD2018 Workshop on BigSholar2018 , London, UK, August 2018 WWW2017 Workshop on BigScholar , Perth, Australia, April 2017 Feature Engineering for Machine Learning and Data Analytics, CRC, pdf Online Behavioral Analysis and Modeling , Janurary/February 2016, IEEE Intelligent Systems, Vol 31, Number 1 WWW2016 Workshop on BigScholar , Montreal, Canada, April 2016 BEAMS2015 : Behavior Analysis, Modeling, and Steering Workshop at ICDM2015, Call for Papers ASONAM2015 , Paris, France. Call for Papers WWW2015 Workshop on BigScholar , Florence, Italy, 2015 SIGKDD2014 Doctoral Dissertation Award, Call for Nominations , deadline, April 30, 2014. CIKM2014 Workshops, Call for Proposals , deadline, April 20, 2014. WWW2014 Workshop on BigScholar , Call for Papers , Seoul, Korea. April 8, 2014. IEEE/CIC ICCC2014 , Symposium on Social Networks and Big Data, Call for Papers , Shanghai, China. October 13-15, 2014 Springer Social Network Analysis and Mining , Special Issue on "Uncovering Deception in Social Media", CFP , new due date: July 15, 2013. The 14th International Conference on Web-Age Information Management ( WAIM'13 ), Beidaihe, China. June 14-16, 2013. SIAM International Conference on Data Mining ( SDM'12 ), Disneys Paradise Pier Hotel, Anaheim, CA. April 26-28, 2012. Poster in pdf SIAM International Conference on Data Mining ( SDM'11 ), Mesa, Arizona. April 28 - 30, 2011. Photos and Blog by Dirk Van den Poe l Last updated on 1/8/2019 Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Huan Liu Home Directory and Research Directory Faculty Liu, Huan Professor Huan Liu joined ASU in 2000 after conducting research in Telecom (Telstra) Australia Research labs and teaching at the National University of Singapore. He has extensive experience in research and development.Lius research and teaching focuses on machine learning (ensemble methods, active learning, rule extraction, feature selection and discretization, subspace clustering), data mining (data quality and integration, stream data reduction, bioinformatics, algorithm scaling-up) and real world applications (CRM, Egeria detection in imagery, intelligent driving data analysis, recommender systems). huan.liu@asu.edu 480-727-7349 BYENG 566 http://www.public.asu.edu/~huanliu Education Ph.D., Computer Science, University of Southern California, 1989 M.S., Computer Science, University of Southern California, 1985 B.Eng., CS and Electrical Engineering, Shanghai Jiaotong University, 1983 Research interests Social computing, data/web mining, machine learning, feature selection, text classification Honors and awards Most Influential Paper Award, PAKDD, 2010 Key activities Co-chair for SIAM Data Mining 2009, Conference, Co-chair for PAKDD 2008, Founding co-organizer of workshop series of Social Computing (SBP08 and SBP09) Editorial Board and Advisory Board member for handbook and journals February 23, 2015 CIDSE CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4311.txt b/src/data/compiled_bios/4311.txt new file mode 100644 index 0000000000..b10169b3e4 --- /dev/null +++ b/src/data/compiled_bios/4311.txt @@ -0,0 +1 @@ +Ross Maciejewski Prior to joining Arizona State University, Ross Maciejewski served as a visiting faculty member at Purdue as a member of the Department of Homeland Securitys Center of Excellence focusing on visual analytics (VACCINE). His work at Purdues VACCINE Center was honored by the United States Coast Guard with a Meritorious Team Commendation as part of his work on the Port Resilience for Operational Tactical Enforcement to Combat Terrorism (PROTECT) Team. Dr. Maciejewskis recent work has actively explored the extraction and linking of disparate data sources exploring combinations of structured geographic data to unstructured social media data to enhance situational awareness. His primary research interests are in the areas of geographical visualization and visual analytics focusing on public health, dietary analysis, social media, and criminal incident reports. He has served on the organizing committee for the IEEE Conference on Visual Analytics Science and Technology (2012-2013, 2015) and the IEEE/VGTC EuroVis Conference (2014-2016) and has been involved in award winning submissions to the IEEE Visual Analytics Contest (2010, 2013 and 2015). He is a Fellow of the Global Security Initiative at ASU and the recipient of an NSF CAREER Award (2014). For more information on his current work visit vader.lab.asu.edu. Associate Professor rmacieje@asu.edu 480-965-2785 BYENG 344 rmaciejewski.faculty.asu.edu Education Ph.D., Computer Engineering, Purdue University, 2009 M.S., Electrical and Computer Engineering, Purdue University, 2004 B.S. cum laude, Electrical Engineering, Computer Engineering, Computer Science, The University of Missouri, 2001 Research Interests Information visualization, geographical visualization, computer graphics, syndromic surveillance, volume rendering, non-photorealistic rendering, decision support systems Honors and Awards VAST 2013 Mini Challenge 1 Award: Excellent Visual Analysis of Structured and Unstructured Data, IEEE Conference on Visual Analytics Science and Technology, October 2013 for Box Office VAST Team VADER, (Lu, Y., Wang, F., Maciejewski, R.) Coast Guard Meritorious Team Commendation (PROTECT), Ross Maciejewski served as a member of the United States Coast Guard Port Resilience for Operational Tactical Enforcement to Combat Terrorism (PROTECT) Team while at Purdue Universitys Department of Homeland Security Center of Excellence (VACCINE), May 2013. VAST 2010 Challenge Award: Support for Future Detection, IEEE Conference on Visual Analytics Science and Technology, October 2010 for VACCINATED, (Malik, A., Afzal, S., Hodgess, E., Ebert, D., Maciejewski, R.). Key Activities State-of-the-art Report Co-Chair for the VGTC/IEEE EuroVis Conference (2014) Posters Co-Chair for the IEEE Conference on Visual Analytics Science and Technology (2012-2013) May 17, 2017 CIDSE Skip to main content Report an accessibility problem Menu Sign In / Sign Out Sign In Menu ASU Home News/Events Academics Research Athletics Alumni Giving President About ASU My ASU Colleges and Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Innovation Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map and Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Corporate Engagement and Strategic Partnerships Research Park Washington D.C. China Directory Search Search Global Security Initiative Toggle navigation Main navigation Home Expertise Cybersecurity Decision-making Economic security Health security Human and social conditions Human, AI and robot teaming Resource security Visualization and analytics Units Center for Accelerating Operational Efficiency Center for Cybersecurity and Digital Forensics Center for Human, Artificial Intelligence, and Robot Teaming DARPA Working Group Global Security PLuS Human Security Collaboratory News and events About us Contact us Support GSI Wicked problems. Novel approaches. Impactful responses. The Global Security Initiative (GSI) produces mission-relevant approaches and decision support tools to address some of the worlds most vexing and complicated security challenges. 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Sign up for our newsletter Home Expertise Units News and events About us Contact us Support GSI ASU is #1 in the U.S. for Innovation Copyright and Trademark Accessibility Privacy Terms of Use Jobs Emergency Contact ASU Visual Analytics & Data Exploration Research Search Publications VADER Lab CAOE Ross Maciejewski Associate Professor in CIDSE Arizona State University Biography Ross Maciejewski is an Associate Professor at Arizona State University in the School of Computing, Informatics & Decision Systems Engineering and Director of the Center for Accelerating Operational Efficiency (CAOE) - a Department of Homeland Security Center of Excellence. His primary research interests are in the areas of geographical visualization and visual analytics focusing on homeland security, public health, dietary analysis, social media, criminal incident reports, and the food-energy-water nexus. Professor Maciejewski is a recipient of an NSF CAREER Award (2014) and was named a Fulton Faculty Exemplar (2017) and Global Security Fellow at Arizona State. His work has been recognized through a variety of awards at the IEEE Visual Analytics Contest (2010, 2013, 2015), a best paper award in EuroVis 2017, and a CHI Honorable Mention Award in 2018. For more information about his work please visit the VADER Lab @ ASU and the CAOE Homepage . Interests Geographical Visualization Visual Analytics Education Ph.D. in Computer Engineering, Dec, 2009 Purdue University, West Lafayette, IN Contact rmacieje(at)asu.edu (480) 965-2785 699 S. Mill Avenue, Suite 344, Tempe, AZ 85281, USA. 2018 by Ross Maciejewski ~ rmacieje(at)asu.edu Powered by the Academic theme for Hugo . Cite Copy Download Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Ross Maciejewski Home Directory and Research Directory Faculty Maciejewski, Ross Prior to joining Arizona State University, Ross Maciejewski served as a visiting faculty member at Purdue as a member of the Department of Homeland Securitys Center of Excellence focusing on visual analytics (VACCINE). His work at Purdues VACCINE Center was honored by the United States Coast Guard with a Meritorious Team Commendation as part of his work on the Port Resilience for Operational Tactical Enforcement to Combat Terrorism (PROTECT) Team. Dr. Maciejewskis recent work has actively explored the extraction and linking of disparate data sources exploring combinations of structured geographic data to unstructured social media data to enhance situational awareness. His primary research interests are in the areas of geographical visualization and visual analytics focusing on public health, dietary analysis, social media, and criminal incident reports. He has served on the organizing committee for the IEEE Conference on Visual Analytics Science and Technology (2012-2013, 2015) and the IEEE/VGTC EuroVis Conference (2014-2016) and has been involved in award winning submissions to the IEEE Visual Analytics Contest (2010, 2013 and 2015). He is a Fellow of the Global Security Initiative at ASU and the recipient of an NSF CAREER Award (2014) . For more information on his current work visit vader.lab.asu.edu . Associate Professor rmacieje@asu.edu 480-965-2785 BYENG 344 rmaciejewski.faculty.asu.edu Education Ph.D., Computer Engineering, Purdue University, 2009 M.S., Electrical and Computer Engineering, Purdue University, 2004 B.S. cum laude, Electrical Engineering, Computer Engineering, Computer Science, The University of Missouri, 2001 Research Interests Information visualization, geographical visualization, computer graphics, syndromic surveillance, volume rendering, non-photorealistic rendering, decision support systems Honors and Awards VAST 2013 Mini Challenge 1 Award: Excellent Visual Analysis of Structured and Unstructured Data , IEEE Conference on Visual Analytics Science and Technology, October 2013 for Box Office VAST Team VADER, (Lu, Y., Wang, F., Maciejewski, R. ) Coast Guard Meritorious Team Commendation (PROTECT) , Ross Maciejewski served as a member of the United States Coast Guard Port Resilience for Operational Tactical Enforcement to Combat Terrorism (PROTECT) Team while at Purdue Universitys Department of Homeland Security Center of Excellence (VACCINE), May 2013. VAST 2010 Challenge Award: Support for Future Detection , IEEE Conference on Visual Analytics Science and Technology, October 2010 for VACCINATED, (Malik, A., Afzal, S., Hodgess, E., Ebert, D., Maciejewski, R. ). Key Activities State-of-the-art Report Co-Chair for the VGTC/IEEE EuroVis Conference (2014) Posters Co-Chair for the IEEE Conference on Visual Analytics Science and Technology (2012-2013) May 17, 2017 CIDSE CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4312.txt b/src/data/compiled_bios/4312.txt new file mode 100644 index 0000000000..2db1a39c0a --- /dev/null +++ b/src/data/compiled_bios/4312.txt @@ -0,0 +1 @@ +Daniel R. McCarville Professor of Practice Daniel R. McCarville received his M.S. and Ph.D. from Arizona State University in 1994 and 1999, respectively. His research interests are in quality engineering, industrial statistics and engineering management with a general focus on continuous improvement methodologies. Prior to joining the Arizona State University faculty, Dan had worked 27 years in the semiconductor industry for Motorola and Mindspeed Technologies where he led teams through the development and implementation of large scale quality systems and complex manufacturing processes. daniel.mccarville@asu.edu 480-727-7674 BYENG 350 Education Ph.D., Industrial Engineering, Arizona State University, 1999 M.S.E., Industrial Engineering, Arizona State University, 1994 B.S., Mechanical Engineering, University of Arizona, 1984 Research interests Quality engineering, industrial statistics, engineering management Honors and awards Chair for the Quality and Productivity Section of the American Statistical Association at the Joint Statistical Methods Conference, 1999. Chair for Statistical Applications at the Institute of Environmental Sciences Conference, 1998. Chair for Statistical Applications at the Institute of Environmental Sciences Conference, 1997. Session Chair for the Institute of Environmental Sciences Conference, 1996. Session is based on statistical applications in environmental control. Conference Chairman for the American Statistical Associations Quality and Productivity Research Conference, 1995. U.S. Defensible Publication, Motorola Scientific and Technical Society Award for Method of Processing High Precision Pressure Sensors, 1993. January 7, 2016 CIDSE Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Daniel R. McCarville Home Directory and Research Directory Faculty McCarville, Daniel R. Professor of Practice Daniel R. McCarville received his M.S. and Ph.D. from Arizona State University in 1994 and 1999, respectively. His research interests are in quality engineering, industrial statistics and engineering management with a general focus on continuous improvement methodologies. Prior to joining the Arizona State University faculty, Dan had worked 27 years in the semiconductor industry for Motorola and Mindspeed Technologies where he led teams through the development and implementation of large scale quality systems and complex manufacturing processes. daniel.mccarville@asu.edu 480-727-7674 BYENG 350 Education Ph.D., Industrial Engineering, Arizona State University, 1999 M.S.E., Industrial Engineering, Arizona State University, 1994 B.S., Mechanical Engineering, University of Arizona, 1984 Research interests Quality engineering, industrial statistics, engineering management Honors and awards Chair for the Quality and Productivity Section of the American Statistical Association at the Joint Statistical Methods Conference, 1999. Chair for Statistical Applications at the Institute of Environmental Sciences Conference, 1998. Chair for Statistical Applications at the Institute of Environmental Sciences Conference, 1997. Session Chair for the Institute of Environmental Sciences Conference, 1996. Session is based on statistical applications in environmental control. Conference Chairman for the American Statistical Associations Quality and Productivity Research Conference, 1995. U.S. Defensible Publication, Motorola Scientific and Technical Society Award for Method of Processing High Precision Pressure Sensors, 1993. January 7, 2016 CIDSE CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4313.txt b/src/data/compiled_bios/4313.txt new file mode 100644 index 0000000000..3d5062811e --- /dev/null +++ b/src/data/compiled_bios/4313.txt @@ -0,0 +1 @@ +Mehlhase, Alexandra Alexandra Mehlhase is a software engineering lecturer in the School of Computing, Informatics, and Decision Systems Engineering. amehlhas@asu.edu Education Ph.D., Technische Universitt Berlin, 2015 Research interests Modeling and simulation of variable-structure models, software engineering August 21, 2017 Monique Clement Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Mehlhase, Alexandra Home Directory and Research Directory Faculty Mehlhase, Alexandra Alexandra Mehlhase is a software engineering lecturer in the School of Computing, Informatics, and Decision Systems Engineering. amehlhas@asu.edu Education Ph.D., Technische Universitt Berlin, 2015 Research interests Modeling and simulation of variable-structure models, software engineering August 21, 2017 Monique Clement CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4314.txt b/src/data/compiled_bios/4314.txt new file mode 100644 index 0000000000..fe8b33e2bd --- /dev/null +++ b/src/data/compiled_bios/4314.txt @@ -0,0 +1 @@ +Ryan Meuth Lecturer Ryan Meuth joined ASU in Fall of 2013 as a lecturer for Academic and Student Affairs in the school of Computing, Informatics and Decision Systems Engineering. He focuses primarily on developing and delivering the Introduction to Engineering program. rmeuth@asu.edu 480-727-6389 BYENG 438 Education Ph.D. Computer Engineering, Missouri University of Science and Technology, 2009 M.S. Computer Engineering, Missouri University of Science and Technology, 2007 B.S. Computer Engineering, Missouri University of Science and Technology, 2005 Research interests Examining ways to improve engineering education, in particular the first year engineering experience Honors and awards Top 5% Teaching Award 2014 August 1, 2018 Erik Wirtanen Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Ryan Meuth Home Directory and Research Directory Faculty Meuth, Ryan Lecturer Ryan Meuth joined ASU in Fall of 2013 as a lecturer for Academic and Student Affairs in the school of Computing, Informatics and Decision Systems Engineering. He focuses primarily on developing and delivering the Introduction to Engineering program. rmeuth@asu.edu 480-727-6389 BYENG 438 Education Ph.D. Computer Engineering, Missouri University of Science and Technology, 2009 M.S. Computer Engineering, Missouri University of Science and Technology, 2007 B.S. Computer Engineering, Missouri University of Science and Technology, 2005 Research interests Examining ways to improve engineering education, in particular the first year engineering experience Honors and awards Top 5% Teaching Award 2014 August 1, 2018 Erik Wirtanen CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4315.txt b/src/data/compiled_bios/4315.txt new file mode 100644 index 0000000000..7b95f3c346 --- /dev/null +++ b/src/data/compiled_bios/4315.txt @@ -0,0 +1 @@ +Ariane Middel Ariane Middels research interests lie in the interdisciplinary field of urban climate with focus on climate-sensitive urban form, design, landscapes, and infrastructure in the face of extreme heat and climatic uncertainty. For the past six years, Middel has advanced the field of urban climate science through applied and solutions-oriented research employing quantitative and qualitative field observations, local and microscale climate modeling, and geovisualization to investigate sustainability challenges related to heat, thermal comfort, Urban Heat Islands, water use, energy use, and human-climate interactions in cities. Her ongoing research is focused on developing better models and metrics to quantify urbanheatscapesas they are experienced by pedestrians. She currently develops a thermal comfort model based on an innovative big data approach using Street View data, deep learning, and novel environmental sensing techniques such as the biometeorologicalMaRTycart. Middel is an active member of the Urban Climate Research Center (UCRC) and the Central ArizonaPhoenix Long-Term Ecological Research (CAP LTER) program at ASU. She currently serves a 4-year term (2016-2020) on the Board of the International Association of Urban Climate (IAUC), the premier international organization for researchers engaged in all aspects of urban climate scholarship. She is also member of the American Meteorological Society (AMS), International Society of Biometeorology (ISB), and the Institute of Electrical and Electronics Engineers (IEEE). Middel joined the School of Arts, Media and Engineering (AME) as an Assistant Professor in 2018. She has a joint appointment with the School of Computing, Informatics, and Decision Systems Engineering (CIDSE). Previously, she was an Assistant Professor in the Department of Geography and Urban Studies at Temple University and an Assistant Research Professor with the School of Geographical Sciences and Urban Planning at ASU. She received her Ph.D. in Computer Science (Visualization) from a German National Science Foundation funded international graduate school at University of Kaiserslautern, Germany and holds a B.Sc. and M.Sc. in Engineering from University of Bonn, Germany. ariane.middel@asu.edu Education Ph.D. Computer Science, University of Kaiserslautern, Germany 2008 BSc. & MSc. Geodetic Engineering, University of Bonn, Germany 2003 Research Interests Urban climate, heat mitigation, thermal comfort, human biometeorology, modeling and simulation, microclimate, local climate, climate-sensitive urban design, climate adaptation and mitigation, urban heat islands, urban climate informatics, geographic information systems, human-environment interaction, land use and land cover, sustainability, geovisualization October 5, 2018 Ashley Stenerson Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Ariane Middel Home Directory and Research Directory Faculty Middel, Ariane Ariane Middels research interests lie in the interdisciplinary field of urban climate with focus on climate-sensitive urban form, design, landscapes, and infrastructure in the face of extreme heat and climatic uncertainty. For the past six years, Middel has advanced the field of urban climate science through applied and solutions-oriented research employing quantitative and qualitative field observations, local and microscale climate modeling, and geovisualization to investigate sustainability challenges related to heat, thermal comfort, Urban Heat Islands, water use, energy use, and human-climate interactions in cities. Her ongoing research is focused on developing better models and metrics to quantify urban heatscapes as they are experienced by pedestrians. She currently develops a thermal comfort model based on an innovative big data approach using Street View data, deep learning, and novel environmental sensing techniques such as the biometeorological MaRTy cart. Middel is an active member of the Urban Climate Research Center (UCRC) and the Central ArizonaPhoenix Long-Term Ecological Research (CAP LTER) program at ASU. She currently serves a 4-year term (2016-2020) on the Board of the International Association of Urban Climate (IAUC), the premier international organization for researchers engaged in all aspects of urban climate scholarship. She is also member of the American Meteorological Society (AMS), International Society of Biometeorology (ISB), and the Institute of Electrical and Electronics Engineers (IEEE). Middel joined the School of Arts, Media and Engineering (AME) as an Assistant Professor in 2018. She has a joint appointment with the School of Computing, Informatics, and Decision Systems Engineering (CIDSE). Previously, she was an Assistant Professor in the Department of Geography and Urban Studies at Temple University and an Assistant Research Professor with the School of Geographical Sciences and Urban Planning at ASU. She received her Ph.D. in Computer Science (Visualization) from a German National Science Foundation funded international graduate school at University of Kaiserslautern, Germany and holds a B.Sc. and M.Sc. in Engineering from University of Bonn, Germany. ariane.middel@asu.edu Education Ph.D. Computer Science, University of Kaiserslautern, Germany 2008 BSc. & MSc. Geodetic Engineering, University of Bonn, Germany 2003 Research Interests Urban climate, heat mitigation, thermal comfort, human biometeorology, modeling and simulation, microclimate, local climate, climate-sensitive urban design, climate adaptation and mitigation, urban heat islands, urban climate informatics, geographic information systems, human-environment interaction, land use and land cover, sustainability, geovisualization October 5, 2018 Ashley Stenerson CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4316.txt b/src/data/compiled_bios/4316.txt new file mode 100644 index 0000000000..1477bb3660 --- /dev/null +++ b/src/data/compiled_bios/4316.txt @@ -0,0 +1 @@ +Phill Miller Phill Miller joined ASU in 2014 after teaching computer science and software engineering courses for 14 years at the University of Advancing Technology in Tempe, Arizona. Phill currently teaches FSE 100 Introduction to Engineering and Computer Science course. Phill.Miller@asu.edu 480-965-5935 BYENG 436 Education M.B.A., Applied Computer Science, Northcentral University, 2007 B.A., Humanities, Arizona State University, 1998 Key activities Teaching FSE 100 Introduction to Engineering for the School or Computing, Informatics, & Decision Systems Engineering January 26, 2017 Erik Wirtanen Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Phill Miller Home Directory and Research Directory Faculty Miller, Phill Phill Miller joined ASU in 2014 after teaching computer science and software engineering courses for 14 years at the University of Advancing Technology in Tempe, Arizona. Phill currently teaches FSE 100 Introduction to Engineering and Computer Science course. Phill.Miller@asu.edu 480-965-5935 BYENG 436 Education M.B.A., Applied Computer Science, Northcentral University, 2007 B.A., Humanities, Arizona State University, 1998 Key activities Teaching FSE 100 Introduction to Engineering for the School or Computing, Informatics, & Decision Systems Engineering January 26, 2017 Erik Wirtanen CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4317.txt b/src/data/compiled_bios/4317.txt new file mode 100644 index 0000000000..323f20d481 --- /dev/null +++ b/src/data/compiled_bios/4317.txt @@ -0,0 +1 @@ +Mirchandani, Pitu Pitu B. Mirchandani is a professor of Computing, Informatics, and Decision Systems Engineering at Arizona State University and holds the AVNET Chair for Supply Chain Networks. He is also a Senior Sustainability Scientist within the Global Institute of Sustainability at ASU and the Director of Advanced Transportation and Logistics: Algorithms and Systems (ATLAS) Research Laboratory at ASU. pitu@asu.edu Education Sc.D. Operations Research, MIT, 1975 Research interests Optimization, decision-making under uncertainty, real-time control and logistics, application interests in urban service systems, transportation, and homeland security Honors and awards Recipient of 2007 Member of the Year by the ITS Arizona Society for contributions to ITS in the State of Arizona Key activities Editorial boards of: IIE Transactions on Scheduling and Logistics; Transportation Science; Advanced Transportation; Industrial Mathematics; Transportmetrica Director of the Advanced Traffic and Logistics: Algorithms and Systems (ATLAS) Laboratory January 26, 2017 CIDSE Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Mirchandani, Pitu Home Directory and Research Directory Faculty Mirchandani, Pitu Pitu B. Mirchandani is a professor of Computing, Informatics, and Decision Systems Engineering at Arizona State University and holds the AVNET Chair for Supply Chain Networks. He is also a Senior Sustainability Scientist within the Global Institute of Sustainability at ASU and the Director of Advanced Transportation and Logistics: Algorithms and Systems (ATLAS) Research Laboratory at ASU. pitu@asu.edu Education Sc.D. Operations Research, MIT, 1975 Research interests Optimization, decision-making under uncertainty, real-time control and logistics, application interests in urban service systems, transportation, and homeland security Honors and awards Recipient of 2007 Member of the Year by the ITS Arizona Society for contributions to ITS in the State of Arizona Key activities Editorial boards of: IIE Transactions on Scheduling and Logistics; Transportation Science; Advanced Transportation; Industrial Mathematics; Transportmetrica Director of the Advanced Traffic and Logistics: Algorithms and Systems (ATLAS) Laboratory January 26, 2017 CIDSE CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4318.txt b/src/data/compiled_bios/4318.txt new file mode 100644 index 0000000000..c2efa7cb9d --- /dev/null +++ b/src/data/compiled_bios/4318.txt @@ -0,0 +1 @@ +Montgomery, Douglas Regents Professor Douglas Montgomery focuses his research on industrial statistics. He is an author of 16 books and over 200 technical papers. He is a recipient of the Shewhart Medal, the Brumbaugh Award, the Hunter Award, and the Shewell Award, and the Ellis R. Ott Award. He is a Fellow of the American Statistical Association, the American Society for Quality Control,the Royal Statistical Society, the Institute of Industrial Engineers, and an Elected Member of the International Statistical Institute. Dr. Montgomery is also a recipient of the George Box Medal from ENBIS (European Network For Business and Industrial Statistics). doug.montgomery@asu.edu 480-965-3836 BYENG 348 Education Ph.D., Industrial Engineering,Virginia Tech, 1969 M.S., Industrial Engineering,Virginia Tech, 1967 B.S., Industrial Engineering,Virginia Tech, 1965 Research interests Statistical design of experiments, optimization and response surface methodology, empirical stochastic modeling, industrial statistics Honors and awards Distinguished Service Medal, ASQ ASU Presidents Award for Innovation ASU Outstanding Doctoral Mentor Award Engineering Lifetime Achievement Award Greenfield Industrial Medal Shewhart Medal Shewell Award (twice) Brumbaugh Award William G. Hunter Award Lloyd S. Nelson Award Honorary Member of the American Society for Quality Fellow of the American Statistical Association, the Royal Statistical Society, and the Institute of Industrial Engineers Elected Member of the International Statistical Institute, and Academician of the International Academy for Quality Key activities Chief Editor, Quality & Reliability Engineering International January 26, 2017 CIDSE Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Montgomery, Douglas Home Directory and Research Directory Faculty Montgomery, Douglas Regents Professor Douglas Montgomery focuses his research on industrial statistics. He is an author of 16 books and over 200 technical papers. He is a recipient of the Shewhart Medal, the Brumbaugh Award, the Hunter Award, and the Shewell Award, and the Ellis R. Ott Award. He is a Fellow of the American Statistical Association, the American Society for Quality Control,the Royal Statistical Society, the Institute of Industrial Engineers, and an Elected Member of the International Statistical Institute. Dr. Montgomery is also a recipient of the George Box Medal from ENBIS (European Network For Business and Industrial Statistics). doug.montgomery@asu.edu 480-965-3836 BYENG 348 Education Ph.D., Industrial Engineering,Virginia Tech, 1969 M.S., Industrial Engineering,Virginia Tech, 1967 B.S., Industrial Engineering,Virginia Tech, 1965 Research interests Statistical design of experiments, optimization and response surface methodology, empirical stochastic modeling, industrial statistics Honors and awards Distinguished Service Medal, ASQ ASU Presidents Award for Innovation ASU Outstanding Doctoral Mentor Award Engineering Lifetime Achievement Award Greenfield Industrial Medal Shewhart Medal Shewell Award (twice) Brumbaugh Award William G. Hunter Award Lloyd S. Nelson Award Honorary Member of the American Society for Quality Fellow of the American Statistical Association, the Royal Statistical Society, and the Institute of Industrial Engineers Elected Member of the International Statistical Institute, and Academician of the International Academy for Quality Key activities Chief Editor, Quality & Reliability Engineering International January 26, 2017 CIDSE CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4319.txt b/src/data/compiled_bios/4319.txt new file mode 100644 index 0000000000..64a4e3b91b --- /dev/null +++ b/src/data/compiled_bios/4319.txt @@ -0,0 +1 @@ +Mutsumi Nakamura Senior Lecturer Mutsumi Nakamura joined ASU in 2000. Nakamuras research focuses on active and Web-based database systems. She has taught courses in data structures and algorithms, automata theory, software engineering, computer organization and assembly language, and Java, C++, C#, and Visual Basic programming languages. mutsumi@asu.edu 480-965-1757 BYENG 520 http://www.public.asu.edu/~mutsumi/ Education Ph.D., Computer Science/Math Sciences, University of Texas, 2001 Research interests Active database systems, Web-based database systems Honors and awards Best Teacher, Ira A. Fulton Schools of Engineering, 2009 Best CSE Teacher, (SCIDSE) 2009 December 15, 2011 CIDSE Mutsumi Nakamura School of Computing, Informatics, and Decision Systems Engineering Computer Science and Engineering Ira A. Fulton Schools of Engineering Office: BYENG (Brickyard Engineering wing) 520 Phone: 965-1757 email: mutsumi-at-asu-dot-edu WCS Faculty Adviser Women in Computer Science Programming Competition SCIDSE/CS,CSE/Informatics Faculty Adviser for honors students Barrett Honors College CS/CSE/Informatics HonorsNewsletter Teaching: CSE 100: Principles of Programming with C++ CSE 110: Principles of Programming with Java CSE 180: Computer Literacy CSE 205: Object-Oriented Programming and Data Structures CSE 230: Computer Organization & Assembly Language Programming CSE 240: Introduction to Programming Languages CSE 310: Data Structures and Algorithms CSE 355: Theoretical Computer Science CSE 360: Introduction to Software Engineering CSE 412/598: Database Management Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. 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Nakamuras research focuses on active and Web-based database systems. She has taught courses in data structures and algorithms, automata theory, software engineering, computer organization and assembly language, and Java, C++, C#, and Visual Basic programming languages. mutsumi@asu.edu 480-965-1757 BYENG 520 http://www.public.asu.edu/~mutsumi/ Education Ph.D., Computer Science/Math Sciences, University of Texas, 2001 Research interests Active database systems, Web-based database systems Honors and awards Best Teacher, Ira A. 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Selected Papers This list contains only journal papers. For full list of papers see the Papers tab. Speech Act Modeling of Written Asynchronous Conversations: A Neural CRF Approach Shafiq Joty, and Tasnim Mohiuddin. In Computational Linguistics (Special Issue on Language in Social Media, Exploiting discourse and other contextual information) : pages 859 - 894, 2018. PDF Abstract Speech Act Modeling of Written Asynchronous Conversations: A Neural CRF Approach Participants in asynchronous conversations (e.g., forums, emails) interact with each other at different times, performing certain communicative acts, called speech acts (e.g., question, request). In this article, we propose a hybrid approach to speech act recognition in asynchronous conversations. Our approach works in two main steps: a long short-term memory recurrent neural network (LSTM-RNN) first encodes each sentence separately into a task-specific distributed representation, which is then used in a conditional random field (CRF) model to capture the conversational dependencies between sentences. The LSTM-RNN uses pretrained word embeddings learned from a large conversational corpus and is trained to classify sentences into speech act types. The CRF model can consider arbitrary graph structures to model conversational dependencies in an asynchronous conversation. In addition, to mitigate the problem of limited annotated data in the asynchronous domains, we adapt the LSTM-RNN model to learn from synchronous conversations (e.g., meetings) using domain adversarial training of neural networks. Empirical evaluation shows the effectiveness of our approach over existing ones: (i) LSTM-RNNs provide better task-specific representations, (ii) conversational word embeddings benefit the LSTM-RNNs more than the off-the-shelf ones, (iii) adversarial training gives better domain-invariant representations, and (iv) the global CRF model improves over local models. BibTex Speech Act Modeling of Written Asynchronous Conversations: A Neural CRF Approach @article{joty-cl-si-18, abstract = {Participants in asynchronous conversations (e.g., forums, emails) interact with each other at different times, performing certain communicative acts, called speech acts (e.g., question, request). In this article, we propose a hybrid approach to speech act recognition in asynchronous conversations. Our approach works in two main steps: a long short-term memory recurrent neural network (LSTM-RNN) first encodes each sentence separately into a task-specific distributed representation, which is then used in a conditional random field (CRF) model to capture the conversational dependencies between sentences. The LSTM-RNN uses pretrained word embeddings learned from a large conversational corpus and is trained to classify sentences into speech act types. The CRF model can consider arbitrary graph structures to model conversational dependencies in an asynchronous conversation. In addition, to mitigate the problem of limited annotated data in the asynchronous domains, we adapt the LSTM-RNN model to learn from synchronous conversations (e.g., meetings) using domain adversarial training of neural networks. Empirical evaluation shows the effectiveness of our approach over existing ones: (i) LSTM-RNNs provide better task-specific representations, (ii) conversational word embeddings benefit the LSTM-RNNs more than the off-the-shelf ones, (iii) adversarial training gives better domain-invariant representations, and (iv) the global CRF model improves over local models.}, author = {Shafiq Joty and Tasnim Mohiuddin}, journal = {Computational Linguistics (Special Issue on Language in Social Media, Exploiting discourse and other contextual information)}, link = {https://www.mitpressjournals.org/doi/pdf/10.1162/coli_a_00339}, number = {4}, pages = {859 -- 894}, publisher = {MIT Press}, title = {Speech Act Modeling of Written Asynchronous Conversations: A Neural CRF Approach}, volume = {44}, year = {2018} } Phrase-Based Attentions Phi Xuan, and Shafiq Joty. In arXiv (* not peer reviewed) 2018. PDF Abstract Phrase-Based Attentions Most state-of-the-art neural machine translation systems, despite being different in architectural skeletons (e.g. recurrence, convolutional), share an indispensable feature: the Attention. However, most existing attention methods are token-based and ignore the importance of phrasal alignments, the key ingredient for the success of phrase-based statistical machine translation. In this paper, we propose novel phrase-based attention methods to model n-grams of tokens as attention entities. We incorporate our phrase-based attentions into the recently proposed Transformer network, and demonstrate that our approach yields improvements of 1.3 BLEU for English-to-German and 0.5 BLEU for German-to-English translation tasks on WMT newstest2014 using WMT'16 training data. BibTex Phrase-Based Attentions @article{nguyen-joty-iclr-19, abstract = {Most state-of-the-art neural machine translation systems, despite being different in architectural skeletons (e.g. recurrence, convolutional), share an indispensable feature: the Attention. However, most existing attention methods are token-based and ignore the importance of phrasal alignments, the key ingredient for the success of phrase-based statistical machine translation. In this paper, we propose novel phrase-based attention methods to model n-grams of tokens as attention entities. We incorporate our phrase-based attentions into the recently proposed Transformer network, and demonstrate that our approach yields improvements of 1.3 BLEU for English-to-German and 0.5 BLEU for German-to-English translation tasks on WMT newstest2014 using WMT'16 training data.}, author = {Phi Xuan Nguyen and Shafiq Joty}, issue = {}, journal = {arXiv (* not peer reviewed)}, link = {https://arxiv.org/abs/1810.03444}, pages = {}, publisher = {arXiv.org}, title = {Phrase-Based Attentions}, year = {2018} } Machine translation evaluation with neural networks Francisco Guzmn, Shafiq Joty, Llus Mrquez, and Preslav Nakov. In Computer Speech & Language (Special Issue on Deep Learning for Machine Translation) : pages 180-200, 2017. PDF Abstract Machine translation evaluation with neural networks Abstract We present a framework for machine translation evaluation using neural networks in a pairwise setting, where the goal is to select the better translation from a pair of hypotheses, given the reference translation. In this framework, lexical, syntactic and semantic information from the reference and the two hypotheses is embedded into compact distributed vector representations, and fed into a multi-layer neural network that models nonlinear interactions between each of the hypotheses and the reference, as well as between the two hypotheses. We experiment with the benchmark datasets from the \WMT\ Metrics shared task, on which we obtain the best results published so far, with the basic network configuration. We also perform a series of experiments to analyze and understand the contribution of the different components of the network. We evaluate variants and extensions, including fine-tuning of the semantic embeddings, and sentence-based representations modeled with convolutional and recurrent neural networks. In summary, the proposed framework is flexible and generalizable, allows for efficient learning and scoring, and provides an \MT\ evaluation metric that correlates with human judgments, and is on par with the state of the art. BibTex Machine translation evaluation with neural networks @article{guzman-joty-marquez-nakov-csl-16, abstract = {Abstract We present a framework for machine translation evaluation using neural networks in a pairwise setting, where the goal is to select the better translation from a pair of hypotheses, given the reference translation. In this framework, lexical, syntactic and semantic information from the reference and the two hypotheses is embedded into compact distributed vector representations, and fed into a multi-layer neural network that models nonlinear interactions between each of the hypotheses and the reference, as well as between the two hypotheses. We experiment with the benchmark datasets from the \{WMT\} Metrics shared task, on which we obtain the best results published so far, with the basic network configuration. We also perform a series of experiments to analyze and understand the contribution of the different components of the network. We evaluate variants and extensions, including fine-tuning of the semantic embeddings, and sentence-based representations modeled with convolutional and recurrent neural networks. In summary, the proposed framework is flexible and generalizable, allows for efficient learning and scoring, and provides an \{MT\} evaluation metric that correlates with human judgments, and is on par with the state of the art.}, author = {Guzm\'{a}n, Francisco and Joty, Shafiq and Mrquez, Llus and Nakov, Preslav}, doi = {http://dx.doi.org/10.1016/j.csl.2016.12.005}, issn = {0885-2308}, journal = {Computer Speech & Language (Special Issue on Deep Learning for Machine Translation)}, link = {http://www.sciencedirect.com/science/article/pii/S0885230816301693}, pages = {180--200}, title = {Machine translation evaluation with neural networks}, volume = {45:C}, year = {2017} } Domain Adaptation Using Neural Network Joint Model Shafiq Joty, Nadir Durrani, Hassan Sajjad, and Ahmed Abdelali. In Computer Speech & Language (Special Issue on Deep Learning for Machine Translation) : pages 161-179, 2017. PDF Abstract Domain Adaptation Using Neural Network Joint Model We explore neural joint models for the task of domain adaptation in machine translation in two ways: (i) we apply state-of-the-art domain adaptation techniques, such as mixture modelling and data selection using the recently proposed Neural Network Joint Model (NNJM) (Devlin et al., 2014); (ii) we propose two novel approaches to perform adaptation through instance weighting and weight readjustment in the NNJM framework. In our first approach, we propose a pair of models called Neural Domain Adaptation Models (NDAM) that minimizes the cross entropy by regularizing the loss function with respect to in-domain (and optionally to out-domain) model. In the second approach, we present a set of Neural Fusion Models (NFM) that combines the in- and the out-domain models by readjusting their parameters based on the in-domain data. We evaluated our models on the standard task of translating English-to-German and Arabic-to-English TED talks. The NDAM models achieved better perplexities and modest BLEU improvements compared to the baseline NNJM, trained either on in-domain or on a concatenation of in- and out-domain data. On the other hand, the NFM models obtained significant improvements of up to +0.9 and +0.7 BLEU points, respectively. We also demonstrate improvements over existing adaptation methods such as instance weighting, phrasetable fill-up, linear and log-linear interpolations. BibTex Domain Adaptation Using Neural Network Joint Model @article{joty-durrani-sajjad-abdelali-csl-17, abstract = {We explore neural joint models for the task of domain adaptation in machine translation in two ways: (i) we apply state-of-the-art domain adaptation techniques, such as mixture modelling and data selection using the recently proposed Neural Network Joint Model (NNJM) (Devlin et al., 2014); (ii) we propose two novel approaches to perform adaptation through instance weighting and weight readjustment in the NNJM framework. In our first approach, we propose a pair of models called Neural Domain Adaptation Models (NDAM) that minimizes the cross entropy by regularizing the loss function with respect to in-domain (and optionally to out-domain) model. In the second approach, we present a set of Neural Fusion Models (NFM) that combines the in- and the out-domain models by readjusting their parameters based on the in-domain data. We evaluated our models on the standard task of translating English-to-German and Arabic-to-English TED talks. The NDAM models achieved better perplexities and modest BLEU improvements compared to the baseline NNJM, trained either on in-domain or on a concatenation of in- and out-domain data. On the other hand, the NFM models obtained significant improvements of up to +0.9 and +0.7 BLEU points, respectively. We also demonstrate improvements over existing adaptation methods such as instance weighting, phrasetable fill-up, linear and log-linear interpolations.}, author = {Shafiq Joty and Nadir Durrani and Hassan Sajjad and Ahmed Abdelali}, doi = {https://doi.org/10.1016/j.csl.2016.12.006}, issn = {0885-2308}, journal = {Computer Speech & Language (Special Issue on Deep Learning for Machine Translation)}, link = {http://www.sciencedirect.com/science/article/pii/S0885230816301474}, pages = {161-179}, publisher = {Elsevier}, title = {Domain Adaptation Using Neural Network Joint Model}, volume = {45:C}, year = {2017} } Discourse Structure in Machine Translation Evaluation Shafiq Joty, Francisco Guzmn, Llus Mrquez, and Preslav Nakov. In Computational Linguistics : pages 683-722, 2017. PDF Abstract Discourse Structure in Machine Translation Evaluation In this article, we explore the potential of using sentence-level discourse structure for machine translation evaluation. We first design discourse-aware similarity measures, which use all- subtree kernels to compare discourse parse trees in accordance with the Rhetorical Structure Theory (RST). Then, we show that a simple linear combination with these measures can help improve various existing machine translation evaluation metrics regarding correlation with human judgments both at the segment- and at the system-level. This suggests that discourse information is complementary to the information used by many of the existing evaluation metrics, and thus it could be taken into account when developing richer evaluation metrics, such as the WMT-14 winning combined metric DISCOTKparty. We also provide a detailed analysis of the relevance of various discourse elements and relations from the RST parse trees for machine translation evaluation. In particular, we show that (i) all aspects of the RST tree are relevant, (ii) nuclearity is more useful than relation type, and (iii) the similarity of the translation RST tree to the reference RST tree is positively correlated with translation quality. BibTex Discourse Structure in Machine Translation Evaluation @article{joty-guzman-marquez-nakov-cl-17, abstract = {In this article, we explore the potential of using sentence-level discourse structure for machine translation evaluation. We first design discourse-aware similarity measures, which use all- subtree kernels to compare discourse parse trees in accordance with the Rhetorical Structure Theory (RST). Then, we show that a simple linear combination with these measures can help improve various existing machine translation evaluation metrics regarding correlation with human judgments both at the segment- and at the system-level. This suggests that discourse information is complementary to the information used by many of the existing evaluation metrics, and thus it could be taken into account when developing richer evaluation metrics, such as the WMT-14 winning combined metric DISCOTKparty. We also provide a detailed analysis of the relevance of various discourse elements and relations from the RST parse trees for machine translation evaluation. In particular, we show that (i) all aspects of the RST tree are relevant, (ii) nuclearity is more useful than relation type, and (iii) the similarity of the translation RST tree to the reference RST tree is positively correlated with translation quality.}, author = {Shafiq Joty and Guzm\'{a}n, Francisco and Mrquez, Llus and Preslav Nakov}, journal = {Computational Linguistics}, link = {http://www.mitpressjournals.org/doi/pdfplus/10.1162/COLI_a_00298}, pages = {683--722}, publisher = {MIT Press}, title = {Discourse Structure in Machine Translation Evaluation}, volume = {43:4}, year = {2017} } Sleep Quality Prediction From Wearable Data Using Deep Learning Aarti Sathyanarayana, Shafiq Joty, Luis Fernandez-Luque, Ferda Ofli, Jaideep Srivastava, Ahmed Elmagarmid, Shahrad Taheri, and Teresa Arora. In JMIR mHealth and uHealth (JMU) 2016. PDF Abstract Sleep Quality Prediction From Wearable Data Using Deep Learning BACKGROUND: The importance of sleep is paramount to health. Insufficient sleep can reduce physical, emotional, and mental well-being and can lead to a multitude of health complications among people with chronic conditions. Physical activity and sleep are highly interrelated health behaviors. Our physical activity during the day (ie, awake time) influences our quality of sleep, and vice versa. The current popularity of wearables for tracking physical activity and sleep, including actigraphy devices, can foster the development of new advanced data analytics. This can help to develop new electronic health (eHealth) applications and provide more insights into sleep science. OBJECTIVE: The objective of this study was to evaluate the feasibility of predicting sleep quality (ie, poor or adequate sleep efficiency) given the physical activity wearable data during awake time. In this study, we focused on predicting good or poor sleep efficiency as an indicator of sleep quality. METHODS: Actigraphy sensors are wearable medical devices used to study sleep and physical activity patterns. The dataset used in our experiments contained the complete actigraphy data from a subset of 92 adolescents over 1 full week. Physical activity data during awake time was used to create predictive models for sleep quality, in particular, poor or good sleep efficiency. The physical activity data from sleep time was used for the evaluation. We compared the predictive performance of traditional logistic regression with more advanced deep learning methods: multilayer perceptron (MLP), convolutional neural network (CNN), simple Elman-type recurrent neural network (RNN), long short-term memory (LSTM-RNN), and a time-batched version of LSTM-RNN (TB-LSTM). RESULTS: Deep learning models were able to predict the quality of sleep (ie, poor or good sleep efficiency) based on wearable data from awake periods. More specifically, the deep learning methods performed better than traditional logistic regression. CNN had the highest specificity and sensitivity, and an overall area under the receiver operating characteristic (ROC) curve (AUC) of 0.9449, which was 46% better as compared with traditional logistic regression (0.6463). CONCLUSIONS: Deep learning methods can predict the quality of sleep based on actigraphy data from awake periods. These predictive models can be an important tool for sleep research and to improve eHealth solutions for sleep. BibTex Sleep Quality Prediction From Wearable Data Using Deep Learning @article{sathyanarayana-et-al-jmu-16, abstract = {BACKGROUND: The importance of sleep is paramount to health. Insufficient sleep can reduce physical, emotional, and mental well-being and can lead to a multitude of health complications among people with chronic conditions. Physical activity and sleep are highly interrelated health behaviors. Our physical activity during the day (ie, awake time) influences our quality of sleep, and vice versa. The current popularity of wearables for tracking physical activity and sleep, including actigraphy devices, can foster the development of new advanced data analytics. This can help to develop new electronic health (eHealth) applications and provide more insights into sleep science. OBJECTIVE: The objective of this study was to evaluate the feasibility of predicting sleep quality (ie, poor or adequate sleep efficiency) given the physical activity wearable data during awake time. In this study, we focused on predicting good or poor sleep efficiency as an indicator of sleep quality. METHODS: Actigraphy sensors are wearable medical devices used to study sleep and physical activity patterns. The dataset used in our experiments contained the complete actigraphy data from a subset of 92 adolescents over 1 full week. Physical activity data during awake time was used to create predictive models for sleep quality, in particular, poor or good sleep efficiency. The physical activity data from sleep time was used for the evaluation. We compared the predictive performance of traditional logistic regression with more advanced deep learning methods: multilayer perceptron (MLP), convolutional neural network (CNN), simple Elman-type recurrent neural network (RNN), long short-term memory (LSTM-RNN), and a time-batched version of LSTM-RNN (TB-LSTM). RESULTS: Deep learning models were able to predict the quality of sleep (ie, poor or good sleep efficiency) based on wearable data from awake periods. More specifically, the deep learning methods performed better than traditional logistic regression. CNN had the highest specificity and sensitivity, and an overall area under the receiver operating characteristic (ROC) curve (AUC) of 0.9449, which was 46% better as compared with traditional logistic regression (0.6463). CONCLUSIONS: Deep learning methods can predict the quality of sleep based on actigraphy data from awake periods. These predictive models can be an important tool for sleep research and to improve eHealth solutions for sleep.}, author = {Aarti Sathyanarayana and Shafiq Joty and Luis Fernandez-Luque and Ferda Ofli and Jaideep Srivastava and Ahmed Elmagarmid and Shahrad Taheri and Teresa Arora}, doi = {10.2196/mhealth.6562}, journal = {JMIR mHealth and uHealth (JMU)}, link = {https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5116102/}, number = {e125}, pmid = {27815231}, title = {Sleep Quality Prediction From Wearable Data Using Deep Learning}, volume = {4(4)}, year = {2016} } CODRA: A Novel Discriminative Framework for Rhetorical Analysis Shafiq Joty, Giuseppe Carenini, and Raymond T Ng. In Computational Linguistics : pages 385-435, 2015. PDF Abstract CODRA: A Novel Discriminative Framework for Rhetorical Analysis Clauses and sentences rarely stand on their own in an actual discourse; rather, the relationship between them carries important information that allows the discourse to express a meaning as a whole beyond the sum of its individual parts. Rhetorical analysis seeks to uncover this coherence structure. In this article, we present CODRA a COmplete probabilistic Discriminative framework for performing Rhetorical Analysis in accordance with Rhetorical Structure Theory, which posits a tree representation of a discourse. CODRA comprises a discourse segmenter and a discourse parser. First, the discourse segmenter, which is based on a binary classifier, identifies the elementary discourse units in a given text. Then the discourse parser builds a discourse tree by applying an optimal parsing algorithm to probabilities inferred from two Conditional Random Fields: one for intra-sentential parsing and the other for multi-sentential parsing. We present two approaches to combine these two stages of parsing effectively. By conducting a series of empirical evaluations over two different data sets, we demonstrate that CODRA significantly outperforms the state-of-the-art, often by a wide margin. We also show that a reranking of the k-best parse hypotheses generated by CODRA can potentially improve the accuracy even further. BibTex CODRA: A Novel Discriminative Framework for Rhetorical Analysis @article{joty-carenini-ng-cl-15, abstract = {Clauses and sentences rarely stand on their own in an actual discourse; rather, the relationship between them carries important information that allows the discourse to express a meaning as a whole beyond the sum of its individual parts. Rhetorical analysis seeks to uncover this coherence structure. In this article, we present CODRA a COmplete probabilistic Discriminative framework for performing Rhetorical Analysis in accordance with Rhetorical Structure Theory, which posits a tree representation of a discourse. CODRA comprises a discourse segmenter and a discourse parser. First, the discourse segmenter, which is based on a binary classifier, identifies the elementary discourse units in a given text. Then the discourse parser builds a discourse tree by applying an optimal parsing algorithm to probabilities inferred from two Conditional Random Fields: one for intra-sentential parsing and the other for multi-sentential parsing. We present two approaches to combine these two stages of parsing effectively. By conducting a series of empirical evaluations over two different data sets, we demonstrate that CODRA significantly outperforms the state-of-the-art, often by a wide margin. We also show that a reranking of the k-best parse hypotheses generated by CODRA can potentially improve the accuracy even further.}, author = {Joty, Shafiq and Carenini, Giuseppe and Ng, Raymond T}, journal = {Computational Linguistics}, link = {papers/joty-carenini-ng-cl-15}, pages = {385-435}, publisher = {MIT Press}, title = {CODRA: A Novel Discriminative Framework for Rhetorical Analysis}, volume = {41:3}, year = {2015} } Topic Segmentation and Labeling in Asynchronous Conversations Shafiq Joty, Giuseppe Carenini, and Raymond Ng. In Journal of Artificial Intelligence Research : pages 521-573, 2013. PDF Abstract Topic Segmentation and Labeling in Asynchronous Conversations Topic segmentation and labeling is often considered a prerequisite for higher-level conversation analysis and has been shown to be useful in many Natural Language Processing (NLP) applications. We present two new corpora of email and blog conversations annotated with topics, and evaluate annotator reliability for the segmentation and labeling tasks in these asynchronous conversations. We propose a complete computational framework for topic segmentation and labeling in asynchronous conversations. Our approach extends state-of-the-art methods by considering a fine-grained structure of an asynchronous conversation, along with other conversational features by applying recent graph-based methods for NLP. For topic segmentation, we propose two novel unsupervised models that exploit the fine-grained conversational structure, and a novel graph-theoretic supervised model that combines lexical, conversational and topic features. For topic labeling, we propose two novel (unsupervised) random walk models that respectively capture conversation specific clues from two different sources: the leading sentences and the fine-grained conversational structure. Empirical evaluation shows that the segmentation and the labeling performed by our best models beat the state-of-the-art, and are highly correlated with human annotations. BibTex Topic Segmentation and Labeling in Asynchronous Conversations @article{joty-carenini-ng-jair-13, abstract = {Topic segmentation and labeling is often considered a prerequisite for higher-level conversation analysis and has been shown to be useful in many Natural Language Processing (NLP) applications. We present two new corpora of email and blog conversations annotated with topics, and evaluate annotator reliability for the segmentation and labeling tasks in these asynchronous conversations. We propose a complete computational framework for topic segmentation and labeling in asynchronous conversations. Our approach extends state-of-the-art methods by considering a fine-grained structure of an asynchronous conversation, along with other conversational features by applying recent graph-based methods for NLP. For topic segmentation, we propose two novel unsupervised models that exploit the fine-grained conversational structure, and a novel graph-theoretic supervised model that combines lexical, conversational and topic features. For topic labeling, we propose two novel (unsupervised) random walk models that respectively capture conversation specific clues from two different sources: the leading sentences and the fine-grained conversational structure. Empirical evaluation shows that the segmentation and the labeling performed by our best models beat the state-of-the-art, and are highly correlated with human annotations.}, author = {Shafiq Joty and Giuseppe Carenini and Raymond Ng}, journal = {Journal of Artificial Intelligence Research}, link = {https://www.jair.org/media/3940/live-3940-7166-jair.pdf}, pages = {521--573}, title = {Topic Segmentation and Labeling in Asynchronous Conversations}, volume = {47}, year = {2013} } Complex Question Answering: Unsupervised Learning Approaches and Experiments Yllias Chali, Shafiq Joty, and Sadid Hasan. In Journal of Artificial Intelligence Research : pages 1-47, 2009. PDF Abstract Complex Question Answering: Unsupervised Learning Approaches and Experiments Complex questions that require inferencing and synthesizing information from multiple documents can be seen as a kind of topic-oriented, informative multi-document summarization where the goal is to produce a single text as a compressed version of a set of documents with a minimum loss of relevant information. In this paper, we experiment with one empirical method and two unsupervised statistical machine learning techniques: K-means and Expectation Maximization (EM), for computing relative importance of the sentences. We compare the results of these approaches. Our experiments show that the empirical approach outperforms the other two techniques and EM performs better than K-means. However, the performance of these approaches depends entirely on the feature set used and the weighting of these features. In order to measure the importance and relevance to the user query we extract different kinds of features (i.e. lexical, lexical semantic, cosine similarity, basic element, tree kernel based syntactic and shallow-semantic) for each of the document sentences. We use a local search technique to learn the weights of the features. To the best of our knowledge, no study has used tree kernel functions to encode syntactic/semantic information for more complex tasks such as computing the relatedness between the query sentences and the document sentences in order to generate query-focused summaries (or answers to complex questions). For each of our methods of generating summaries (i.e. empirical, K-means and EM) we show the effects of syntactic and shallow-semantic features over the bag-of-words (BOW) features. BibTex Complex Question Answering: Unsupervised Learning Approaches and Experiments @article{chali-joty-hasan-jair-09, abstract = {Complex questions that require inferencing and synthesizing information from multiple documents can be seen as a kind of topic-oriented, informative multi-document summarization where the goal is to produce a single text as a compressed version of a set of documents with a minimum loss of relevant information. In this paper, we experiment with one empirical method and two unsupervised statistical machine learning techniques: K-means and Expectation Maximization (EM), for computing relative importance of the sentences. We compare the results of these approaches. Our experiments show that the empirical approach outperforms the other two techniques and EM performs better than K-means. However, the performance of these approaches depends entirely on the feature set used and the weighting of these features. In order to measure the importance and relevance to the user query we extract different kinds of features (i.e. lexical, lexical semantic, cosine similarity, basic element, tree kernel based syntactic and shallow-semantic) for each of the document sentences. We use a local search technique to learn the weights of the features. To the best of our knowledge, no study has used tree kernel functions to encode syntactic/semantic information for more complex tasks such as computing the relatedness between the query sentences and the document sentences in order to generate query-focused summaries (or answers to complex questions). For each of our methods of generating summaries (i.e. empirical, K-means and EM) we show the effects of syntactic and shallow-semantic features over the bag-of-words (BOW) features.}, acmid = {1641504}, address = {USA}, author = {Chali, Yllias and Joty, Shafiq and Hasan, Sadid}, issn = {1076-9757}, issue_date = {2009}, journal = {Journal of Artificial Intelligence Research}, link = {https://www.jair.org/media/2784/live-2784-4446-jair.pdf}, month = {may}, number = {1}, numpages = {47}, pages = {1--47}, publisher = {AI Access Foundation}, title = {Complex Question Answering: Unsupervised Learning Approaches and Experiments}, volume = {35}, year = {2009} } Last updated February 18, 2019. Created with git , jekyll , bootstrap , and sublime text . Website template available at github fork from Adam Lopez's site . diff --git a/src/data/compiled_bios/4320.txt b/src/data/compiled_bios/4320.txt new file mode 100644 index 0000000000..ebcf5286f7 --- /dev/null +++ b/src/data/compiled_bios/4320.txt @@ -0,0 +1 @@ +Brian Nelson Professor Brian C. Nelsons research focuses on the theory, design, and implementation of computer-based learning environments, focusing on immersive games. An instructional designer and learning theorist, he has published and presented extensively on the viability of educational virtual environments for situated inquiry learning and assessment. He was the project designer on the River City Virtual World project through two NSF-funded studies, and is a co-principal investigator on the on-going NSF-funded SAVE Science and SURGE studies. Each of these studies explores the use of computer games to teach and assess science inquiry and content. He was recently co-PI on two MacArthur Foundation grants: 21st Century Assessment, investigating new models for assessment in digital media-based learning environments, and Our Courts, creating and assessing an immersive game to promote civic engagement. Brian.Nelson@asu.edu 480-965-8716 BYENG M1-04 simlandia.asu.edu Education Ed.D.,Harvard University, 2005 M.A.,Saint Michaels College, 1994 B.A.,Washington State University, 1990 Research interests Learning theory, instructional design, educational technology, game-based learning environments, simulations, multimedia, collaborative learning Honors and awards Outstanding early career faculty invited speaker at AECT 2010 Co-author of invited NAS paper on educational games and simulations, 2009 Invited speaker at Distributed Learning & Cognition workshop, 2006. Key activities Author, Design for Learning in Virtual Environments, 2012 Treasurer of Advanced Research in Virtual Environments for Learning SIG, American Educational Research Association, 2009-2011 Co-editor, special issue of the Journal of Educational Data Mining, 2011 October 25, 2017 CIDSE Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Brian Nelson Home Directory and Research Directory Faculty Nelson, Brian Professor Brian C. Nelsons research focuses on the theory, design, and implementation of computer-based learning environments, focusing on immersive games. An instructional designer and learning theorist, he has published and presented extensively on the viability of educational virtual environments for situated inquiry learning and assessment. He was the project designer on the River City Virtual World project through two NSF-funded studies, and is a co-principal investigator on the on-going NSF-funded SAVE Science and SURGE studies. Each of these studies explores the use of computer games to teach and assess science inquiry and content. He was recently co-PI on two MacArthur Foundation grants: 21st Century Assessment, investigating new models for assessment in digital media-based learning environments, and Our Courts, creating and assessing an immersive game to promote civic engagement. Brian.Nelson@asu.edu 480-965-8716 BYENG M1-04 simlandia.asu.edu Education Ed.D.,Harvard University, 2005 M.A.,Saint Michaels College, 1994 B.A.,Washington State University, 1990 Research interests Learning theory, instructional design, educational technology, game-based learning environments, simulations, multimedia, collaborative learning Honors and awards Outstanding early career faculty invited speaker at AECT 2010 Co-author of invited NAS paper on educational games and simulations, 2009 Invited speaker at Distributed Learning & Cognition workshop, 2006. Key activities Author, Design for Learning in Virtual Environments, 2012 Treasurer of Advanced Research in Virtual Environments for Learning SIG, American Educational Research Association, 2009-2011 Co-editor, special issue of the Journal of Educational Data Mining , 2011 October 25, 2017 CIDSE CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4321.txt b/src/data/compiled_bios/4321.txt new file mode 100644 index 0000000000..457c17104b --- /dev/null +++ b/src/data/compiled_bios/4321.txt @@ -0,0 +1 @@ +Rong Pan Associate Professor Rong Pan obtained his Ph.D. degree in Industrial engineering from Penn State University in 2002. Before his current appointment at ASU, he taught at the University of Texas at El Paso as an assistant professor of Industrial Engineering from 2002 to 2006. His research interests include reliability engineering, time series analysis, statistical process control, and Bayesian statistics. He has published in Journal of Quality Technology, IEEE Transactions on Reliability, Journal of Applied Statistics, Quality and Reliability Engineering International, etc. His recent research projects are funded by National Science Foundation, Arizona Science Foundation, Arizona Department of Transportation, and U.S. Department of Education. rong.pan@asu.edu 480-965-4259 BYENG 352 Education Ph.D., Industrial Engineering,Pennsylvania State University, 2002 M.S., Industrial Engineering,Florida A&M University, 1999 B.E., Materials Science and Engineering,Shanghai Jiao Tong University, 1995 Research interests Industrial statistics, reliability analysis and time series modeling Honors and awards Air Force Summer Faculty Fellowship, 2009 Stan Ofsthum Award by the Society of Reliability Engineers, 2008 Key activities Associate Editor, Journal of Quality and Technology October 7, 2016 CIDSE Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Rong Pan Home Directory and Research Directory Faculty Pan, Rong Associate Professor Rong Pan obtained his Ph.D. degree in Industrial engineering from Penn State University in 2002. Before his current appointment at ASU, he taught at the University of Texas at El Paso as an assistant professor of Industrial Engineering from 2002 to 2006. His research interests include reliability engineering, time series analysis, statistical process control, and Bayesian statistics. He has published in Journal of Quality Technology, IEEE Transactions on Reliability, Journal of Applied Statistics, Quality and Reliability Engineering International, etc. His recent research projects are funded by National Science Foundation, Arizona Science Foundation, Arizona Department of Transportation, and U.S. Department of Education. rong.pan@asu.edu 480-965-4259 BYENG 352 Education Ph.D., Industrial Engineering,Pennsylvania State University, 2002 M.S., Industrial Engineering,Florida A&M University, 1999 B.E., Materials Science and Engineering,Shanghai Jiao Tong University, 1995 Research interests Industrial statistics, reliability analysis and time series modeling Honors and awards Air Force Summer Faculty Fellowship, 2009 Stan Ofsthum Award by the Society of Reliability Engineers, 2008 Key activities Associate Editor, Journal of Quality and Technology October 7, 2016 CIDSE CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4322.txt b/src/data/compiled_bios/4322.txt new file mode 100644 index 0000000000..9b5de0bfc0 --- /dev/null +++ b/src/data/compiled_bios/4322.txt @@ -0,0 +1 @@ +Sethuraman Panchanathan Professor Sethuraman (Panch) Panchanathan is currently the Executive Vice President and Chief Research and Innovation Officer of Knowledge Enterprise Development. In this role he is responsible for advancing research, innovation, entrepreneurship and economic development at ASU. He is a Foundation Chair in Computing and Informatics and the Director of the Center for Cognitive Ubiquitous Computing (CUbiC). Dr. Panchanathan was the Founding Director of the School of Computing and Informatics and was instrumental in founding the Biomedical Informatics Department at ASU. He was also the Chair of the Computer Science and Engineering Department. Panchs research interests are in the areas of Human-centered Multimedia Computing, Ubiquitous Computing Environments for enhancing the quality of life for individuals with Disabilities, and Haptic User Interfaces. CUbiCs flagship project iCARE for individuals who are blind and visually impaired won the Governors Innovator of the Year-Academia Award. He has published over 400 papers in refereed journals and conferences and has mentored over 100 graduate students, post-docs, research engineers and research scientists who occupy leading positions in academia and industry. He has been a Chair, invited speaker, panel member, organizer of special sessions, and a program committee member of many conferences. Panch is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE), Society of Optical Engineering (SPIE) and a member of the Canadian Academy of Engineering. panch@asu.edu 480-965-34831 FULTN 3110 asuresearch.asu.edu cubic.asu.edu Education Ph.D., Electrical and Computer Engineering, University of Ottawa, Canada 1989 M.Tech., Electrical Engineering, Indian Institute of Technology, Madras, India, 1986 B.E., Electronics and Communication Engineering, Indian Institute of Science, Bangalore, India, 1984 B.Sc., Physics, University of Madras, Madras, India, 1981 Research interests Human-centered Multimedia Computing, Ubiquitous Computing Environments for enhancing qualify of life for individuals with Disabilities, and Haptic User Interfaces. Honors and awards Fellow of IEEE Fellow of SPIE Member of Canadian Academy of Engineering Governors Innovator of the Year in Academia Award (2004) Microsoft Imagine Cup Awards (2010, 2011) Key activities Editor-in-chief, IEEE Multimedia Associate Editor, of 12 (past and present) Journals and Transactions. Member, US-India Business Council (USIBC) [President Obamas Executive Mission to India]. Member, Arizona Governor Napolitanos Strategic Mission to Canada. Executive Committee Member, Council on Research Policy & Graduate Education, Association of Public and Land-Grant Universities (APLU). Member, Governor of Arizona eHealth Steering Committee March 31, 2016 CIDSE Skip to main content Report an accessibility problem Menu Sign In / Sign Out Sign In Menu ASU Home News/Events Academics Research Athletics Alumni Giving President About ASU My ASU Colleges and Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Innovation Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map and Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Corporate Engagement and Strategic Partnerships Research Park Washington D.C. China Directory Search Search Knowledge Enterprise Development Home Stories & Videos KED Units Institutes & Initiatives Researcher Support News & Views About Us Facts & Figures Leadership Contact Us Employment Opportunities National Academy of Inventors Chapter ASU KEDtalks ASU Knowledge Enterprise Development advances research, innovation, strategic partnerships, entrepreneurship, and international development. Our success arises from solutions-focused, interdisciplinary research; an entrepreneurial approach that is embedded in every school and department; and a commitment to transform society in a positive way. Learn more about KED Top stories innovation Can innovation exist without soul work? ASU KEDtalk Is innovation always good? And is more always better? Not without "soul work," says Gaymon Bennett. He explains what soul work, shadow and spirituality have to do with our fixation on innovation in a new KEDtalk format with bonus podcast. innovation Four ASU faculty named Senior Members of National Academy of Inventors Joining the inaugural class of Senior Members, ASU innovators expand ASUs longstanding involvement in the NAI. engineering We, robot Theres no I in team, but increasingly, there is AI. Researchers from across ASU are helping people, robots and artificial intelligence collaborate more effectively, safely and ethically. health Seed grants sprout novel health research Mayo Clinic and ASU collaborations launch novel research with the goal of improving patient care. more stories #1 most innovative school in the country #2 Stanford, #3 MIT $604M total research expenditures (FY 2018) (FY 2017) #17 among universities worldwide for U.S. patents issued more facts Year in Review home The Knowledge Enterprise ASU Knowledge Enterprise Development advances research, innovation, strategic partnerships, entrepreneurship and economic development at ASU, in Arizona and globally. learn more Research Growth Areas How do we feed a growing world population? Is space travel commercially viable? What if we could detect disease before they do permanent harm? ASU researchers are polling their expertise in the natural sciences, engineering, arts and humanities to address big challenges and answer important questions. Learn about key areas where ASU is making discoveries that make a difference. learn more about key areas Office of Knowledge Enterprise Development 300 E University Drive PO Box 877205 Tempe, AZ 85287-7205 Phone: (480)-965-1225 | Fax: (480)-965-8293 Home Stories & Videos KED Units Institutes & Initiatives Researcher Support News & Views About Us ASU KEDtalks ASU is #1 in the U.S. for Innovation Copyright and Trademark Accessibility Privacy Terms of Use Jobs Emergency Contact ASU Skip to content Skip to navigation Menu Sign In / Sign Out Sign In Menu ASU Home News/Events Academics Research Athletics Alumni Giving President About ASU My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Innovation Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Thunderbird Skysong Research Park Washington D.C. China Directory Search Apply for a APAcT IGERT Fellowship Home About CUbiC People News & Events Projects Publications Contact The Center for Cognitive Ubiquitous Computing at Arizona State University is an inter-disciplinary research center focused on cutting edge research targeting a variety of applications. What We Do About CUbiC Most ubiquitous computing research takes a technology-centric view in solving real world problems. It is our belief that a balanced technology and problem-centric view is required in tackling challenging application domains. We also believe that by targeting applications that require ubiquitous computing solutions, in contrast to applications with a ubiquitous computing flavor, brings out the underlying challenges that need to be addressed. In keeping with this spirit, we have chosen to serve the needs of physically challenged individuals by empowering them with ubiquitous and pervasive computing technologies to enrich their lives. Motivated by this approach, we have assembled focus groups of blind and deaf individuals and researchers involved in disability studies and mobility instructors to bring out the real needs in this application. These inputs have served to shape our research agenda in the various facets of ubiquitous computing. News CUbiC Undergrad Shubham Mehta Wins First at Sunhacks 2018 Shubham Mehta, an Undergraduate researcher who works in Cubic, won the first prize for the student assistive chrome extension in the Sunhacks 2018 Hackathon with his team. The Sunhacks hackathon was a competition between various programmers to put out the best solution or product in 48 hours. Shubham and his team used JavaScript to develop a solution where a student can type in a homework problem and the program returns a solved solution by searching the internet. The program works by using the site Textsheet.com which modifies the blurred answer provided by for-profit sites such as Chegg. It does so by getting the token number of the question and then the solution image then, the image appears on the screen. Shubham and his team wanted to allow students to have access to high-quality homework help without paying anything extra aside from the already required classroom materials. The team won the first place out of all other projects at the hackathon. read more Events Center Director Sethuraman Panchanathan research.asu.edu WANT THE LATEST CUbiC NEWS? JOIN OUR MAILING LIST! Email: * Subscribe Unsubscribe Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU School of Computing Informatics Decision Systems Engineering Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Sethuraman Panchanathan Home Directory and Research Directory Faculty Panchanathan, Sethuraman Professor Sethuraman (Panch) Panchanathan is currently the Executive Vice President and Chief Research and Innovation Officer of Knowledge Enterprise Development. In this role he is responsible for advancing research, innovation, entrepreneurship and economic development at ASU. He is a Foundation Chair in Computing and Informatics and the Director of the Center for Cognitive Ubiquitous Computing (CUbiC). Dr. Panchanathan was the Founding Director of the School of Computing and Informatics and was instrumental in founding the Biomedical Informatics Department at ASU. He was also the Chair of the Computer Science and Engineering Department. Panchs research interests are in the areas of Human-centered Multimedia Computing, Ubiquitous Computing Environments for enhancing the quality of life for individuals with Disabilities, and Haptic User Interfaces. CUbiCs flagship project iCARE for individuals who are blind and visually impaired won the Governors Innovator of the Year-Academia Award. He has published over 400 papers in refereed journals and conferences and has mentored over 100 graduate students, post-docs, research engineers and research scientists who occupy leading positions in academia and industry. He has been a Chair, invited speaker, panel member, organizer of special sessions, and a program committee member of many conferences. Panch is a Fellow of the Institute of Electrical and Electronics Engineers (IEEE), Society of Optical Engineering (SPIE) and a member of the Canadian Academy of Engineering. panch@asu.edu 480-965-34831 FULTN 3110 asuresearch.asu.edu cubic.asu.edu Education Ph.D., Electrical and Computer Engineering, University of Ottawa, Canada 1989 M.Tech., Electrical Engineering, Indian Institute of Technology, Madras, India, 1986 B.E., Electronics and Communication Engineering, Indian Institute of Science, Bangalore, India, 1984 B.Sc., Physics, University of Madras, Madras, India, 1981 Research interests Human-centered Multimedia Computing, Ubiquitous Computing Environments for enhancing qualify of life for individuals with Disabilities, and Haptic User Interfaces. Honors and awards Fellow of IEEE Fellow of SPIE Member of Canadian Academy of Engineering Governors Innovator of the Year in Academia Award (2004) Microsoft Imagine Cup Awards (2010, 2011) Key activities Editor-in-chief, IEEE Multimedia Associate Editor, of 12 (past and present) Journals and Transactions. Member, US-India Business Council (USIBC) [President Obamas Executive Mission to India]. Member, Arizona Governor Napolitanos Strategic Mission to Canada. Executive Committee Member, Council on Research Policy & Graduate Education, Association of Public and Land-Grant Universities (APLU). Member, Governor of Arizona eHealth Steering Committee March 31, 2016 CIDSE CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4323.txt b/src/data/compiled_bios/4323.txt new file mode 100644 index 0000000000..eab3c2a830 --- /dev/null +++ b/src/data/compiled_bios/4323.txt @@ -0,0 +1 @@ +Ted Pavlic Ted Pavlic, an assistant professor appointed jointly with CIDSE and the School of Sustainability, studies autonomous decision-making systems using a combination of theoretical and empirical methods. His research seeks out unifying theoretical frameworks of rational behavior that cut across biology, economics, and engineering. Some projects in his highly interdisciplinary laboratory study animal systems directly to gain insight into how nature has solved complex decision-making challenges without the advanced communication capabilities assumed to be present in most engineered systems. In other projects, automation systems are constructed to show how relatively simple decision-making rules can be both robust and adaptive. Previously, he worked as a behavioral ecologist in a social-insect laboratory, which followed working as a computer science researcher studying automated verification of mixed-autonomy urban intelligent transportation systems. He views ASUs size and disciplinary breadth as an asset for understanding how behavioral analysis can be used in the design of sustainable, resilient automation systems across a wide range of applications from robotics to control of power distribution to the design of human decision-support systems. To that end, he is on the graduate faculty of a wide range of programs including, but not limited to, Industrial/Electrical/Computer/Mechanical/Aerospace Engineering and he is excited about working with a mixture of students from different disciplines in order to solve use-inspired problems in autonomous systems. tpavlic@asu.edu 480-965-2899 BYENG 314 Education Ph.D., Electrical and Computer Engineering, The Ohio State University, 2010 M.S., Electrical and Computer Engineering, The Ohio State University, 2007 B.S., Electrical and Computer Engineering, The Ohio State University, 2004 Research interests Distributed algorithms, autonomous systems, decentralized decision making, complex adaptive systems, self organization, hybrid dynamical systems, sustainability in the built environment, behavioral ecology, behavioral economics, operations research, bio-mimicry and bio-inspiration, parallel computation, robotics,energy systems, intelligent control; optimization; game theory; resource allocation; collective behavior Key activities Joint appointment with School of Sustainability Editorial board member for Human Computation Review editorial board member for Frontiers in Robotics and AI, Computational Intelligence Officer of IEEE Special Technical Community for Human Computation Associate Director for Research, The Biomimicry Center at ASU External faculty for Human Computation Institute Program Committee, 2016 International Symposium on Intelligent Control Program Committee, 2015 Conference on Complex Systems Invited participant of 12th Annual National Academies Keck Futures Initiative Conference on Collective Behavior Organizer or invited participant for a wide variety of interdisciplinary workshops across science and engineering January 25, 2017 Erik Wirtanen Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Ted Pavlic Home Directory and Research Directory Faculty Pavlic, Ted Ted Pavlic, an assistant professor appointed jointly with CIDSE and the School of Sustainability, studies autonomous decision-making systems using a combination of theoretical and empirical methods. His research seeks out unifying theoretical frameworks of rational behavior that cut across biology, economics, and engineering. Some projects in his highly interdisciplinary laboratory study animal systems directly to gain insight into how nature has solved complex decision-making challenges without the advanced communication capabilities assumed to be present in most engineered systems. In other projects, automation systems are constructed to show how relatively simple decision-making rules can be both robust and adaptive. Previously, he worked as a behavioral ecologist in a social-insect laboratory, which followed working as a computer science researcher studying automated verification of mixed-autonomy urban intelligent transportation systems. He views ASUs size and disciplinary breadth as an asset for understanding how behavioral analysis can be used in the design of sustainable, resilient automation systems across a wide range of applications from robotics to control of power distribution to the design of human decision-support systems. To that end, he is on the graduate faculty of a wide range of programs including, but not limited to, Industrial/Electrical/Computer/Mechanical/Aerospace Engineering and he is excited about working with a mixture of students from different disciplines in order to solve use-inspired problems in autonomous systems. tpavlic@asu.edu 480-965-2899 BYENG 314 Education Ph.D., Electrical and Computer Engineering, The Ohio State University, 2010 M.S., Electrical and Computer Engineering, The Ohio State University, 2007 B.S., Electrical and Computer Engineering, The Ohio State University, 2004 Research interests Distributed algorithms, autonomous systems, decentralized decision making, complex adaptive systems, self organization, hybrid dynamical systems, sustainability in the built environment, behavioral ecology, behavioral economics, operations research, bio-mimicry and bio-inspiration, parallel computation, robotics,energy systems, intelligent control; optimization; game theory; resource allocation; collective behavior Key activities Joint appointment with School of Sustainability Editorial board member for Human Computation Review editorial board member for Frontiers in Robotics and AI, Computational Intelligence Officer of IEEE Special Technical Community for Human Computation Associate Director for Research, The Biomimicry Center at ASU External faculty for Human Computation Institute Program Committee, 2016 International Symposium on Intelligent Control Program Committee, 2015 Conference on Complex Systems Invited participant of 12th Annual National Academies Keck Futures Initiative Conference on Collective Behavior Organizer or invited participant for a wide variety of interdisciplinary workshops across science and engineering January 25, 2017 Erik Wirtanen CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4324.txt b/src/data/compiled_bios/4324.txt new file mode 100644 index 0000000000..c0df6b57ea --- /dev/null +++ b/src/data/compiled_bios/4324.txt @@ -0,0 +1 @@ +Pedrielli, Giulia Giulia Pedrielli is currently Assistant Professor for the School of Computing Informatics System Design Systems Engineering in Arizona State University. She was previously postdoctoral fellow at the Department of Industrial & Systems Engineering at National University of Singapore and Department of Mechanical Engineering of Politecnico di Milano. She was also research fellow for the Institute of Industrial Technologies and Automation within the National Research Council, Italy, (ITIA-CNR). She has been a visiting Ph.D. student at University of California Berkeley (USA), Department of Industrial Engineering & Operations Research (IEOR) during the period August 2011 June 2012 collaborating with Professor Lee W. Schruben. She develops her research activity in the area of stochastics and simulation with a particular interest in simulation based optimization. She has dealt with applications in several domains: manufacturing including automotive and de-manufacturing, power systems, supply chains, automation and warehousing, and health care. She is increasingly involved in real time control under uncertainty in the domain of cyber-physical systems including robotics. giulia.pedrielli@asu.edu 480-965-3727 Education Ph.D. Mechanical Engineering, Politecnico di Milano M.Sc. Industrial Engineering, Politecnico di Milano B.S. Industrial Engineering, Politecnico di Milano Research Interests Simulation methodology, stochastics and learning/statistics related to simulation improvement both for performance evaluation as well as simulation-based optimization of complex systems July 30, 2018 Monique Clement Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Pedrielli, Giulia Home Directory and Research Directory Faculty Pedrielli, Giulia Giulia Pedrielli is currently Assistant Professor for the School of Computing Informatics System Design Systems Engineering in Arizona State University. She was previously postdoctoral fellow at the Department of Industrial & Systems Engineering at National University of Singapore and Department of Mechanical Engineering of Politecnico di Milano. She was also research fellow for the Institute of Industrial Technologies and Automation within the National Research Council, Italy, (ITIA-CNR). She has been a visiting Ph.D. student at University of California Berkeley (USA), Department of Industrial Engineering & Operations Research (IEOR) during the period August 2011 June 2012 collaborating with Professor Lee W. Schruben. She develops her research activity in the area of stochastics and simulation with a particular interest in simulation based optimization. She has dealt with applications in several domains: manufacturing including automotive and de-manufacturing, power systems, supply chains, automation and warehousing, and health care. She is increasingly involved in real time control under uncertainty in the domain of cyber-physical systems including robotics. giulia.pedrielli@asu.edu 480-965-3727 Education Ph.D. Mechanical Engineering, Politecnico di Milano M.Sc. Industrial Engineering, Politecnico di Milano B.S. Industrial Engineering, Politecnico di Milano Research Interests Simulation methodology, stochastics and learning/statistics related to simulation improvement both for performance evaluation as well as simulation-based optimization of complex systems July 30, 2018 Monique Clement CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4325.txt b/src/data/compiled_bios/4325.txt new file mode 100644 index 0000000000..9331965130 --- /dev/null +++ b/src/data/compiled_bios/4325.txt @@ -0,0 +1 @@ +Fengbo Ren Fengbo Ren received the B.Eng. degree in Electrical Engineering from Zhejiang University in 2008, and the M.S. and Ph.D. degree in Electrical Engineering from University of California, Los Angeles, in 2010 and 2014, respectively. He joined the School of Computing, Informatics and Decision Systems Engineering at Arizona State University as an Assistant Professor in January 2015. He is directing the Parallel Systems and Computing Laboratory (PSCLab), and he is affiliated with the NSF Industry/University Cooperative Research Center for Embedded Systems. His current research focuses on bringing energy efficiency and data/signal intelligence into a wide spectrum of todays computing infrastructures, from data center server systems to wearable/IoT devices. He received the Broadcom Fellowship in 2012, the NSF Faculty Early Career Development (CAREER) Award in 2017, and the Google Faculty Research Award in 2018. He is a member of the Technical Committees of Digital Signal Processing and VLSI Systems & Applications in the IEEE Circuits and Systems Society. renfengbo@asu.edu 480-727-5793 CenterPoint 203-19 Parallel Systems and Computing Laboratory (PSCLab) Education Ph.D., Electrical Engineering, University of California, Los Angeles, 2014 M.S., Electrical Engineering, University of California, Los Angeles, 2010 B.Eng., Electrical Engineering, Zhejiang University, 2008 Research interests Hardware acceleration, embedded, reconfigurable, and parallel computing solutions for data analytics and information processing, energy-efficient computing, data-driven compressive sensing, hardware-friendly machine learning. Honors and Awards Broadcom-UCLA Fellow, awarded by Broadcom Inc., 2012. NSF Faculty Early Career Development (CAREER) Award, awarded by National Science Foundation (NSF), 2017 Google Faculty Research Award, awarded by Google LLC, 2018 Key Activities Technical Committee Member, IEEE Circuits and Systems Society Digital Signal Processing Technical Committee , 2016-now Technical Committee Member, IEEE Circuits and Systems Society VLSI Systems & Applications Technical Committee, 2016-now April 5, 2018 Erik Wirtanen Skip to Main Page Content Report an accessibility problem Menu Sign In / Sign Out Sign In Menu ASU Home News/Events Academics Research Athletics Alumni Giving President About ASU My ASU Colleges and Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Innovation Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map and Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Corporate Engagement and Strategic Partnerships Research Park Washington D.C. China Directory Search Search Parallel Systems and Computing Laboratory (PSCLab) Home People Current Member Alumni News Research News Funding News Lab News Publication Research Research Projects Facility & Equipment PSCLab@GitHub Education Teaching CEN598 Hardware Acceleration and FPGA Computing CSE 320 Design/Synthesis of Digital Hardware ASU 101-CSE: The ASU Experience K-12 Outreach High-School Teacher Training Program (HTTP) Group Resources Join Us Prospective Graduate Students Undergraduate Research Contact Us Parallel Systems and Computing Laboratory About Us We focus on bringing energy efficiency and data/signal intelligence into a wide spectrum of todays computing infrastructures, from data center/edge node server systems to wearable/IoT devices. We aspire to provide real-time and energy-efficient computing solutions for data analytics and information processing. Funding News May 15, 2018 PSCLabreceives an unrestricted gift from Cisco Research Center to develop an energy-efficient and intelligent framework for Internet-of-Things (IoT) data processing. Link: Cisco Research Center February 21, 2018 Prof. Ren wins a 2017 Google Faculty Research Award to develop data-driven, neural network based image/video codec for machine perception. Link: Award Announcement , List of Recipients , Research at Google February 16, 2017 Prof. Ren receives the prestigious NSF Faculty Early Career Development (CAREER) Award to develop data-driven and hardware-friendly compressive sensing and data analytics solutions to fulfill unmet energy efficiency needs of Internet-of-things (IoT) applications . Link: Full Circle News , ASU Now News , NSF Award Abstract August 9, 2016 A team of ASU researchers is awarded an NSF CISE Research Infrastructure grant to develop energy-efficientcomputational infrastructure featuring heterogeneousacceleratorsand deep storage hierarchy tosupport big data research. Link: NSF Award Abstract , Project Website July 12, 2016 PSCLab receives research funding from NSF I/UCRC Center for Embedded Systems to develop data-driven compressive sensing based wireless sensor node for personalized Internet-of-things (IoT). Link: CES Research [more news] Research News September 2, 2018 Yixing's paper " A 34-FPS 698-GOP/s/W Binarized Deep Neural Network-based Natural Scene Text Interpretation Accelerator for Mobile Edge Computing ", co-authored with Prof. Hao Yu (Southern University of Science and Technology of China) and Prof. Wangling Goh (Nanyang Technological University), will appear in IEEE Transactions on Industrial Electronics. Link: Paper July 22, 2018 Kai Xu's paper " LAPRAN: A Scalable Laplacian Pyramid Reconstructive Adversarial Network for Flexible Compressive Sensing Reconstruction " is accepted to the15th European Conference on Computer Vision(ECCV'18). Link: Paper May 4, 2018 Saman's paper " Are FPGAs Suitable for Edge Computing? " is accepted to the USENIX Workshop on Hot Topics in Edge Computing (HotEdge '18) Link: Paper November 10, 2017 Kai Xu's paper " CSVideoNet: A Real-time End-to-end Learning Framework for High-frame-rate Video Compressive Sensing " is accepted to the IEEE Winter Conference on Applications of Computer Vision (WACV'18). Link: Paper November 7, 2017 Our paper " Recognizing Terrain Features on Terrestrial Surface Using a Deep Learning Model--An Example with Crater Detection ", co-authored with Prof. Wenwen Li (Arizona State University), is presented in the 1st Workshop on GeoAI: AI and Deep Learning for Geographic Knowledge Discovery (GeoAI'17). Link: Paper [more news] Lab News May 3, 2018 Prof. Ren has been selected to receive a Fulton Schools of Engineering Best Teacher Award - Top 5% for the academic year of 2017-2018. June 22, 2017 Dr. Matthew Prater, a Chemistry/STEM Teacher from Highland High School in Gilbert, is visiting PSCLab for one summer month to participate in the High-School Teacher Training Program (HTTP) . Link: High-School Teacher Training Program (HTTP) April 17, 2017 Yixing has been selected by the CSE Program as the recipient of 2017 Outstanding Computer Engineering (CEN) TA Award .Congratulations, Yixing! April 7, 2017 Prof. Ren has been selected to receive a Fulton Schools of Engineering Best Teacher Award - Top 5% for the academic year of 2016-2017. June 24, 2015 Hello World! The group website is online! Our Sponsors We gratefully acknowledge the funding support, gifts, and donations from the following organizations: Contact Information Contact us LinkedIn ASU Site Copyright & Trademark Accessibility Privacy Jobs@ASU Emergency Contact ASU Drupal Editing Get Started Features Tools&Tips Drupal Guides External Link School of CIDSE Fulton Undergraduate Research Initiative Undergraduate Research at ASU Masters Opportunity in Research Engineering Copyright 2015-2018 Fengbo Ren.All right reserved. | Site Admin:FengboRen| Powered by Drupal . Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Fengbo Ren Home Directory and Research Directory Faculty Ren, Fengbo Fengbo Ren received the B.Eng. degree in Electrical Engineering from Zhejiang University in 2008, and the M.S. and Ph.D. degree in Electrical Engineering from University of California, Los Angeles, in 2010 and 2014, respectively. He joined the School of Computing, Informatics and Decision Systems Engineering at Arizona State University as an Assistant Professor in January 2015. He is directing the Parallel Systems and Computing Laboratory (PSCLab), and he is affiliated with the NSF Industry/University Cooperative Research Center for Embedded Systems. His current research focuses on bringing energy efficiency and data/signal intelligence into a wide spectrum of todays computing infrastructures, from data center server systems to wearable/IoT devices. He received the Broadcom Fellowship in 2012, the NSF Faculty Early Career Development (CAREER) Award in 2017, and the Google Faculty Research Award in 2018. He is a member of the Technical Committees of Digital Signal Processing and VLSI Systems & Applications in the IEEE Circuits and Systems Society. renfengbo@asu.edu 480-727-5793 CenterPoint 203-19 Parallel Systems and Computing Laboratory (PSCLab) Education Ph.D., Electrical Engineering, University of California, Los Angeles, 2014 M.S., Electrical Engineering , University of California, Los Angeles, 2010 B.Eng., Electrical Engineering , Zhejiang University, 2008 Research interests Hardware acceleration, embedded, reconfigurable, and parallel computing solutions for data analytics and information processing, energy-efficient computing, data-driven compressive sensing, hardware-friendly machine learning. Honors and Awards Broadcom-UCLA Fellow, awarded by Broadcom Inc., 2012. NSF Faculty Early Career Development (CAREER) Award, awarded by National Science Foundation (NSF), 2017 Google Faculty Research Award, awarded by Google LLC, 2018 Key Activities Technical Committee Member, IEEE Circuits and Systems Society Digital Signal Processing Technical Committee , 2016-now Technical Committee Member, IEEE Circuits and Systems Society VLSI Systems & Applications Technical Committee, 2016-now April 5, 2018 Erik Wirtanen CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4326.txt b/src/data/compiled_bios/4326.txt new file mode 100644 index 0000000000..a83e32e07d --- /dev/null +++ b/src/data/compiled_bios/4326.txt @@ -0,0 +1 @@ +Andrea Richa ProfessorAndrea W. Richa joined Arizona State University (ASU) in 1998. Prof. Richas work on network algorithms has been widely cited, and includes work on distributed load balancing, packet routing, wireless network modeling and topology control, wireless jamming, data mule networks, underwater optical networking, and distributed hash tables (DHTs). Dr. Richa was the recipient of an NSF CAREER Award in 1999, is currently an Associate Editor of IEEE Transactions on Mobile Computing, and has served as keynote speaker and program\general chair of several prestigious conferences. Prof. Richa has also delivered several invited talks both nationally and internationally. For a selected list of her publications and other accomplishments, and current research projects, please visit www.public.asu.edu/~aricha. aricha@asu.edu 480-965-7555 BYENG 440 http://www.public.asu.edu/~aricha Education Ph.D., Computer Science, Carnegie Mellon University, 1998 M.S., Computer Science, Carnegie Mellon University, 1995 B.S., Computer Science, Federal University of Rio de JaneiroBrazil, 1989 Research interests Self-organizing particle systems, programmable matter, bio-inspired algorithms; distributed computing and algorithms; theory of wireless communication; graph, randomized, and approximation algorithms; self-stabilizing overlay networks; combinatorial optimization; distributed resource allocation Honors and awards NSF CAREER Award, 2000 Key activities IEEE Workshop on Network Science for Communication Networks (NetSciCom) General Chair and Founder, NSF Workshop on Selforganizing Particle Systems, 2014 Associate Editor, IEEE Transactions on Mobile Computing General Chair, ACM Symposium on Principles of Distributed Computing (PODC), 2010 PC Chair ACM DIALM-POMC 2003 & 2010 SSS 2012; IEEE NetSciCom 2009, 2010, 2011 Publicity Chair, ACM SPAA08 Guest Editor, ACM Baltzer Journal on Mobile Networks and Applications (MONET), Special Issue on Foundations of Mobile computing, 2004 January 26, 2017 CIDSE Andrea Werneck Richa Professor and Barret Honors Faculty Computer Science and Engineering School of Computing, Informatics, and Decision systems Engineering Ira A. Fulton Schools of Engineering Arizona State University Box 878809 Tempe , AZ 85287-8809, U.S.A. phone 480-965-7555 (voice) 480-965-2751 (fax) E-mail: initial first name + last name at asu dot edu Self-organizing Particle Systems Lab , director Affiliated with Center for Bio-computing, Security and Society, Biodesign Institute Center for Human, AI, and Robot Teaming, Global Security Initiative The Biomimicry Center at ASU Office Hours: Curriculum Vitae (update in progress; last partial update 11/18) Publications Associate Editor, IEEE Transactions on Mobile Computing , 2011-2017 Supervised Students Current and Recent Research Projects A Distributed and Stochastic Algorithmic Framework for Active Matter , funded by NSF-CCF Algorithms-in-the-field (AiTF) awards, 2016-2018 and 2018-2021, PIs: Andrea Richa. (ASU), Dana Randall an Daniel Goldman (Georgia Tech); see also press/publications . Algorithmic Foundations of Self-organizing Particle Systems , funded by NSF CCF-Algorithmic Foundations and NSF EAGER awards, 2013-2017, PI: Andrea Richa; see also press/publications . Adversarial Models for Wireless Communication , funded by NSF Algorithmic Foundations, 2011-2014, PI: Andrea Richa. US-Brazil Collaboration Project: CODPON, A DTN\data mule network focused on Amazon riverine population with e-health applications Underwater Optical Ad-Hoc Sensor Networks Other Projects, Awards, and Grants Recent Keynote\Plenary Talks Algorithmic Foundations of Programmable Matter , Keynote Speaker LATIN'18 (13th Latin American Theoretical INformatics Symposium). Earlier versions of this talk appeared at BDA'14, the Biomimicry Center at ASU Launch event, 2015, etc. Adversarial Models for Wireless Communication , Keynote Speaker SIROCCO'13 (20th International Colloquium on Structural Information and Complexity) Other recent talks can be found at sops.engineering.asu.edu Conference/Program Committees (recent and selected) DISC'17 , Program Committee Chair NSF Workshop on Self-organizing Particle Systems (SOPS), 2014 , colocated with ACM-SIAM SODA 2014, General co-Chair and Founder IEEE NetSciCom'11 (to be held in conjunction with INFOCOM'11), General Chair ACM PODC 2010 , General Chair SSS 2012 , Program Co-Chair ACM DIALM-POMC'10 , Program Co-Chair IEEE NetSciCom'10 (held in conjunction with INFOCOM'10), Program Co-Chair IEEE NetSciCom'09 (held in conjunction with INFOCOM'09), Program Co-Chair and Founder ACM DIALM-POMC'03 , Program Co-Chair ACM PODC treasurer (2008-09) ACM SPAA Publicity Chair (2007-11) International Sympsium on Distributed Computing (DISC), Steering Committee Vice-chair, 2018-- IEEE NetSciCom Steering Committee Chair 2011-- DISC Steering Committee 2016-- ACM PODC Steering Committee 2008-2011 Workshop on Foundations of Mobile Computing (FOMC, formerly DIALM-POMC) Steering Committee 2010-- PC memberships: Classes Taught Recently Fall 2016, Spring 2015: CSE 552: Randomized and Approximation Algorithms. Spring 2017: CSE 310 Data Structures and Algorithms, Fall 2011: CSE 550: Combinatorial Algorithms and Intractability Spring 2018: CSE 450/598 Design and Analysis of Algorithms Spring 2018: CSE 551 Foundations of Algorithms Spring 2013: CSE 591: Theory of Dynamic Networks Fall 2017: ASU 101-FSE: The ASU Experience Discrete Math and Algorithms Seminar I completed my Ph. D. in Algorithms, Combinatorics, and Optimization at the Computer Science Department at Carnegie Mellon University , under the supervision of Bruce Maggs . Ph. D. Thesis Personal Links This page has been partially updated on 30/11/18. Andrea Werneck Richa Professor and Barret Honors Faculty Computer Science and Engineering School of Computing, Informatics, and Decision systems Engineering Ira A. Fulton Schools of Engineering Arizona State University Box 878809 Tempe , AZ 85287-8809, U.S.A. phone 480-965-7555 (voice) 480-965-2751 (fax) E-mail: initial first name + last name at asu dot edu Self-organizing Particle Systems Lab , director Affiliated with Center for Bio-computing, Security and Society, Biodesign Institute Center for Human, AI, and Robot Teaming, Global Security Initiative The Biomimicry Center at ASU Office Hours: Curriculum Vitae (update in progress; last partial update 11/18) Publications Associate Editor, IEEE Transactions on Mobile Computing , 2011-2017 Supervised Students Current and Recent Research Projects A Distributed and Stochastic Algorithmic Framework for Active Matter , funded by NSF-CCF Algorithms-in-the-field (AiTF) awards, 2016-2018 and 2018-2021, PIs: Andrea Richa. (ASU), Dana Randall an Daniel Goldman (Georgia Tech); see also press/publications . Algorithmic Foundations of Self-organizing Particle Systems , funded by NSF CCF-Algorithmic Foundations and NSF EAGER awards, 2013-2017, PI: Andrea Richa; see also press/publications . Adversarial Models for Wireless Communication , funded by NSF Algorithmic Foundations, 2011-2014, PI: Andrea Richa. US-Brazil Collaboration Project: CODPON, A DTN\data mule network focused on Amazon riverine population with e-health applications Underwater Optical Ad-Hoc Sensor Networks Other Projects, Awards, and Grants Recent Keynote\Plenary Talks Algorithmic Foundations of Programmable Matter , Keynote Speaker LATIN'18 (13th Latin American Theoretical INformatics Symposium). Earlier versions of this talk appeared at BDA'14, the Biomimicry Center at ASU Launch event, 2015, etc. Adversarial Models for Wireless Communication , Keynote Speaker SIROCCO'13 (20th International Colloquium on Structural Information and Complexity) Other recent talks can be found at sops.engineering.asu.edu Conference/Program Committees (recent and selected) DISC'17 , Program Committee Chair NSF Workshop on Self-organizing Particle Systems (SOPS), 2014 , colocated with ACM-SIAM SODA 2014, General co-Chair and Founder IEEE NetSciCom'11 (to be held in conjunction with INFOCOM'11), General Chair ACM PODC 2010 , General Chair SSS 2012 , Program Co-Chair ACM DIALM-POMC'10 , Program Co-Chair IEEE NetSciCom'10 (held in conjunction with INFOCOM'10), Program Co-Chair IEEE NetSciCom'09 (held in conjunction with INFOCOM'09), Program Co-Chair and Founder ACM DIALM-POMC'03 , Program Co-Chair ACM PODC treasurer (2008-09) ACM SPAA Publicity Chair (2007-11) International Sympsium on Distributed Computing (DISC), Steering Committee Vice-chair, 2018-- IEEE NetSciCom Steering Committee Chair 2011-- DISC Steering Committee 2016-- ACM PODC Steering Committee 2008-2011 Workshop on Foundations of Mobile Computing (FOMC, formerly DIALM-POMC) Steering Committee 2010-- PC memberships: Classes Taught Recently Fall 2016, Spring 2015: CSE 552: Randomized and Approximation Algorithms. Spring 2017: CSE 310 Data Structures and Algorithms, Fall 2011: CSE 550: Combinatorial Algorithms and Intractability Spring 2018: CSE 450/598 Design and Analysis of Algorithms Spring 2018: CSE 551 Foundations of Algorithms Spring 2013: CSE 591: Theory of Dynamic Networks Fall 2017: ASU 101-FSE: The ASU Experience Discrete Math and Algorithms Seminar I completed my Ph. D. in Algorithms, Combinatorics, and Optimization at the Computer Science Department at Carnegie Mellon University , under the supervision of Bruce Maggs . Ph. D. Thesis Personal Links This page has been partially updated on 30/11/18. Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Andrea Richa Home Directory and Research Directory Faculty Richa, Andrea W. ProfessorAndrea W. Richa joined Arizona State University (ASU) in 1998. Prof. Richas work on network algorithms has been widely cited, and includes work on distributed load balancing, packet routing, wireless network modeling and topology control, wireless jamming, data mule networks, underwater optical networking, and distributed hash tables (DHTs). Dr. Richa was the recipient of an NSF CAREER Award in 1999, is currently an Associate Editor of IEEE Transactions on Mobile Computing, and has served as keynote speaker and program\general chair of several prestigious conferences. Prof. Richa has also delivered several invited talks both nationally and internationally. For a selected list of her publications and other accomplishments, and current research projects, please visit www.public.asu.edu/~aricha . aricha@asu.edu 480-965-7555 BYENG 440 http://www.public.asu.edu/~aricha Education Ph.D., Computer Science, Carnegie Mellon University, 1998 M.S., Computer Science, Carnegie Mellon University, 1995 B.S., Computer Science, Federal University of Rio de JaneiroBrazil, 1989 Research interests Self-organizing particle systems, programmable matter, bio-inspired algorithms; distributed computing and algorithms; theory of wireless communication; graph, randomized, and approximation algorithms; self-stabilizing overlay networks; combinatorial optimization; distributed resource allocation Honors and awards NSF CAREER Award, 2000 Key activities IEEE Workshop on Network Science for Communication Networks (NetSciCom) General Chair and Founder, NSF Workshop on Selforganizing Particle Systems, 2014 Associate Editor, IEEE Transactions on Mobile Computing General Chair, ACM Symposium on Principles of Distributed Computing (PODC), 2010 PC Chair ACM DIALM-POMC 2003 & 2010 SSS 2012; IEEE NetSciCom 2009, 2010, 2011 Publicity Chair, ACM SPAA08 Guest Editor, ACM Baltzer Journal on Mobile Networks and Applications (MONET), Special Issue on Foundations of Mobile computing, 2004 January 26, 2017 CIDSE CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4327.txt b/src/data/compiled_bios/4327.txt new file mode 100644 index 0000000000..15dcb0e130 --- /dev/null +++ b/src/data/compiled_bios/4327.txt @@ -0,0 +1 @@ +George Runger Interim Chair (FSC) and Professor runger@asu.edu 480-965-3193 BYENG 320 Education Ph.D.,Statistics, University of Minnesota, 1982 Research interests Statistical learning, process control, data mining for massive, multivariate data sets Honors and awards Best Application Paper Award, IIE Transactions, 2007 Brumbaugh Award-American Society for Quality, 1994, 2003 Ellis R. Ott Foundation Award, 1990 IBM Outstanding Achievement Award Key activities Department Editor,Journal of Quality Technology Associate Editor,Journal of Mathematical and Management Sciences December 17, 2013 CIDSE Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact George Runger Home Directory and Research Directory Faculty Runger, George Interim Chair (FSC) and Professor runger@asu.edu 480-965-3193 BYENG 320 Education Ph.D.,Statistics, University of Minnesota, 1982 Research interests Statistical learning, process control, data mining for massive, multivariate data sets Honors and awards Best Application Paper Award, IIE Transactions, 2007 Brumbaugh Award-American Society for Quality, 1994, 2003 Ellis R. Ott Foundation Award, 1990 IBM Outstanding Achievement Award Key activities Department Editor, Journal of Quality Technology Associate Editor, Journal of Mathematical and Management Sciences December 17, 2013 CIDSE CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4328.txt b/src/data/compiled_bios/4328.txt new file mode 100644 index 0000000000..c93e58005f --- /dev/null +++ b/src/data/compiled_bios/4328.txt @@ -0,0 +1 @@ +Hessam Sarjoughian Hessam Sarjoughian is co-founder and co-director of the Arizona Center for Integrative Modeling & Simulation. His research has been supported by NSF, Intel, DARPA, and Boeing among others. Sarjoughian is a Founding Member of the Certified Modeling & Simulation Profession, a Certified Modeling & Simulation Professional, and a recipient of the SCS Distinguished Service Award. Sarjoughians industry experience has been with IBM and Honeywell. Sarjoughians research focuses on heterogeneous modeling theories and methodologies that can lead to building composable and scalable simulation frameworks. Key research areas are multi-formalism modeling, collaborative visual modeling, agent-based simulation, distributed simulation, and software architecture. His work has been adopted in research, industrial, and educational settings. Research outcomes have contributed to engineering and sciences of enterprise computing systems, cyber-physical systems, and human-natural systems. He has been the architect and the lead for the DEVS-Suite simulator, which is being used at universities and research institutes in many countries across Americas, Europe, Asia, and Africa. Sarjoughians educational aim is to further Modeling & Simulation as an established academic discipline. Sarjoughian@asu.edu 480-965-3983 BYENG 476 http://sarjoughian.faculty.asu.edu/ Education Ph.D., Electrical & Computer Engineering,University of Arizona, 1995 M.S., Electrical & Computer Engineering,University of Arizona, 1988 B.S., Electrical & Computer Engineering,Mississippi State University, 1984 Research interests Agent-based modeling, multiformalism modeling, simulation-based design, software architecture Key activities Area Editor for SIMULATION: Transactions of The Society for Modeling and Simulation (2004-) July 9, 2018 CIDSE Report an accessibility problem Menu Sign In / Sign Out Sign In Menu ASU Home News/Events Academics Research Athletics Alumni Giving President About ASU My ASU Colleges and Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Innovation Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map and Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Corporate Engagement and Strategic Partnerships Research Park Washington D.C. China Directory Search Search Engineering | Arizona Center for Integrative Modeling and Simulation Software DEVS-Suite CoSMoS MS4 Me Education Publications Articles Books and Manuscripts Thesis Presentations Presentations Projects People News Select Page DEVS-Suite 4.0.0 released in March 2018 Learn More Open source (DEVS-Suite and CoSMoS) and commercial (MS 4 Me) tools are offered for component-based model development and simulation execution. Model libraries such as computer networks, network-on-chip, and service-oriented computing domains are available. Learn More Education View course offerings, short courses, and seminars covering theory of M&S, development of simulation models and tools, and real-world applications. Learn More People View whos who within the center, collaborators, and RTSync Spin-off activities. Who's who? Publications View ongoing/recent/past research findings published in conferences, journals, theses, dissertation, manuscripts, books, and technical reports. Read More Projects Learn about current and past research projects. Tell me more! The Arizona Center for Integrative Modeling and Simulation (ACIMS) is devoted to research and instruction that advance the use of M&S as means to integrate disparate partial solution elements into coherent global solutions to multidisciplinary problems. Contribute The ACIMS is a partnership between the School of Computing, Informatics and Decision Systems Engineering and The University of Arizona . ASU is #1 in the U.S. for Innovation Copyright and Trademark Accessibility Privacy Terms of Use Jobs Emergency Contact ASU Hessam S. Sarjoughian Ph.D., CMSP Associate Professor, Computer Science & Computer Engineering Co-Director, ACIMS Faculty, CSDC , Honors College Sch. of Comp., Info., and Dec. Sys. Engr. 699 South Mill Avenue Tempe, AZ 85281-8809 Tel : +1(480) 965-3983 Fax : +1(480) 965-2751 Email: hss AT asu DOT edu RESEARCH Modeling Theories: Polymorphic Model Composability, Real-time Models Modeling Methodologies: Cyber-Physical Networked Systems, Agent-Based Simulation, Service-Oriented Simulation Publications , ResearchGate , Google Scholar TOOLS, FRAMEWORKS, APPLICATIONS Simulation Tools: DEVS-Suite [Integrated Model Checking and Simulation, Real-time modeling, real-time simulation, RTL] Modeling Tools: CoSMoS [DEVS structural component with behavioral activity and Statecharts modeling] Domains: Coupled Natural & Human Systems, Food-Energy-Water Nexus, Network-on-Chip, System Biology EDUCATION Hybrid System Architecture Model-Based Design Modeling and Simulation COURSES Software Anal. & Des. (CSE 460) [Fall 18, Spring 19] Software Req. & Spec. (CSE 563) [Fall, 18] Software Design (CSE 564) [Spring, 19] E-ADDRESSES Arizona Center for Integrative Modeling & Simulation ( ACIMS ) Center for Social Dynamics and Complexity ( CSDC ) Barrett Honors College ( The Honors College ) SERVICE & OUTREACH Area Editor: Simulation Transactions Society for Modeling & Simulation International Modeling & Simulation professional Certification Commission Students and Visiting Scholars News Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Hessam Sarjoughian Home Directory and Research Directory Faculty Sarjoughian, Hessam Hessam Sarjoughian is co-founder and co-director of the Arizona Center for Integrative Modeling & Simulation . His research has been supported by NSF, Intel, DARPA, and Boeing among others. Sarjoughian is a Founding Member of the Certified Modeling & Simulation Profession, a Certified Modeling & Simulation Professional, and a recipient of the SCS Distinguished Service Award. Sarjoughians industry experience has been with IBM and Honeywell. Sarjoughians research focuses on heterogeneous modeling theories and methodologies that can lead to building composable and scalable simulation frameworks. Key research areas are multi-formalism modeling, collaborative visual modeling, agent-based simulation, distributed simulation, and software architecture. His work has been adopted in research, industrial, and educational settings. Research outcomes have contributed to engineering and sciences of enterprise computing systems, cyber-physical systems, and human-natural systems. He has been the architect and the lead for the DEVS-Suite simulator, which is being used at universities and research institutes in many countries across Americas, Europe, Asia, and Africa. Sarjoughians educational aim is to further Modeling & Simulation as an established academic discipline. Sarjoughian@asu.edu 480-965-3983 BYENG 476 http://sarjoughian.faculty.asu.edu/ Education Ph.D., Electrical & Computer Engineering,University of Arizona, 1995 M.S., Electrical & Computer Engineering,University of Arizona, 1988 B.S., Electrical & Computer Engineering,Mississippi State University, 1984 Research interests Agent-based modeling, multiformalism modeling, simulation-based design, software architecture Key activities Area Editor for SIMULATION: Transactions of The Society for Modeling and Simulation (2004-) July 9, 2018 CIDSE CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4329.txt b/src/data/compiled_bios/4329.txt new file mode 100644 index 0000000000..eebe7a28a3 --- /dev/null +++ b/src/data/compiled_bios/4329.txt @@ -0,0 +1 @@ +Mohamed Sarwat Mohamed Sarwat is an Assistant Professor of Computer Science and the director of the Data Systems (DataSys) lab at Arizona State University. Before joining ASU in August 2014, Mohamed obtained his MSc and PhD degrees in computer science from University of Minnesota in 2011 and 2014, respectively. His research interest lies in the broad area of data management systems. Mohamed is a recipient of the University of Minnesota Doctoral Dissertation Fellowship. His research work has been recognized by the Best Research Paper Award in the IEEE International Conference on Mobile Data Management (MDM 2015), the Best Research Paper Award in the International Symposium on Spatial and Temporal Databases (SSTD 2011), and a Best of Conference citation in the IEEE International Conference on Data Engineering (ICDE 2012). msarwat@asu.edu 480-727-5332 BYENG 404 http://faculty.engineering.asu.edu/sarwat/ Education Ph.D., Computer Science, University of Minnesota, 2014 M.Sc., Computer Science, University of Minnesota, 2011 B.Sc., Computer Engineering, Cairo University, 2011 Research interests Database systems, spatial/temporal data management, large-scale data management and analytics, recommender systems Honors and awards Best Research Paper Award in the 16th IEEE International Conference on Mobile Data Management MDM 2015. Doctoral Dissertation Fellowship, University of Minnesota 2013. Best Research Paper Award in the 12th International Symposium on Spatial and Temporal Databases SSTD 2011. Best of Conference Citation in the 28th IEEE International Conference on Data Engineering ICDE 2012. Key activities Registration Chair for ACM SIGMOD 2016 General Co-Chair for ACM SIGSPATIAL PhD Symposium 2014, 2015 PC member for ACM SIGMOD 2016 (Demonstration Track), IEEE ICDE 2015, ACM SIGSPATIAL GIS 2015, IEEE MDM 2015 (industrial track), ACM CIKM 2015 Reviewer for ACM Transactions on Database Systems (TODS), IEEE Transactions on Knowledge and Data Engineering (TKDE), Transactions on Mobile Computing (TMC), Transactions on Information Systems and Technology (TIST), ACM Transactions on Spatial Algorithms and Systems (TSAS), and GeoInformatica Journal June 29, 2016 Erik Wirtanen + Mohamed Sarwat About Research Service Teaching Assistant Professor Computer Science and Engineering School of Computing, Informatics, &Decision Systems Engineering (CIDSE) Ira A. Fulton Schools of Engineering Arizona State University Office: Brickyard Engineering (BYENG) 404 699 S. Mill Ave., Tempe, AZ 85281 Phone: 480-727-5332 Email: msarwat at asu dot edu Biosketch Mohamed Sarwat is an assistant professor of computer science and the director of the Data Systems (DataSys) lab at Arizona State University. Before joining ASU, Mohamed obtained his MSc and PhD degrees in computer science from the University of Minnesota in 2011 and 2014, respectively. Mohamed is a recipient of the National Science Foundation CAREER award. His research workin the broad area of data management systems has been recognized by two best research paper awards in the 16th IEEE International Conference on Mobile Data Management (MDM 2015) and the 12th International Symposium on Spatial and Temporal Databases (SSTD 2011) as well as a Best of Conference citation in the IEEE 28th International Conference on Data Engineering (ICDE 2012). He alsoreceived the Computing Community Consortium (CCC) Blue Sky Ideas award for best vision papers (3rd place) in the 15th International Symposium on Spatial and Temporal Databases (SSTD 2017). Mohamedis also an associateeditor forthe GeoInformatica journal and has served as a reviewer / program committee member for major data management and spatial computing venues. Recent News [02.01.2019] Received the National Science Foundation (NSF) CAREER award [02.01.2019] Two demo papers and a tutorial accepted to IEEE ICDE 2019 [01.02.2019]Short paper accepted to EDBT 2019 [10.01.2018] Journal Article onSpatial Data Processing in Apache Spark accepted to GeoInformatica [08.23.2018] Research paper on Indexing Geographic Knowledge Graphs accepted to ACM SIGSPATIAL 2018 [04.28.2018] Research paper on Large-Scale GeoSpatial Data Visualization in Spark accepted to SSDBM 2018 [02.23.2018] Invited talk at University of California Irvine [01.15.2018] Lightning talk on Human Database Interaction (HDI) at IEEE ICDE 2018 [08.23.2017]Received the Computing Community Consortium Blue Sky Ideas award for best vision papers (3rd place) in SSTD 2017 [07.18.2017] Appointed Associate Editor,Special Issue Manager and Editorial Board Member of GeoInformatica Journal Twitter Feed Tweets by MoSarwat Recent Blog Posts The Three Phases of the PhD Timeline Inaugurating the Data Systems Lab Recommendation Fits well in Database Systems ! PhD Dissertation Acknowledgement Copyright 2018. Mohamed Sarwat. Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Mohamed Sarwat Home Directory and Research Directory Faculty Sarwat, Mohamed Mohamed Sarwat is an Assistant Professor of Computer Science and the director of the Data Systems (DataSys) lab at Arizona State University. Before joining ASU in August 2014, Mohamed obtained his MSc and PhD degrees in computer science from University of Minnesota in 2011 and 2014, respectively. His research interest lies in the broad area of data management systems. Mohamed is a recipient of the University of Minnesota Doctoral Dissertation Fellowship. His research work has been recognized by the Best Research Paper Award in the IEEE International Conference on Mobile Data Management (MDM 2015), the Best Research Paper Award in the International Symposium on Spatial and Temporal Databases (SSTD 2011), and a Best of Conference citation in the IEEE International Conference on Data Engineering (ICDE 2012). msarwat@asu.edu 480-727-5332 BYENG 404 http://faculty.engineering.asu.edu/sarwat/ Education Ph.D., Computer Science, University of Minnesota, 2014 M.Sc., Computer Science, University of Minnesota, 2011 B.Sc., Computer Engineering, Cairo University, 2011 Research interests Database systems, spatial/temporal data management, large-scale data management and analytics, recommender systems Honors and awards Best Research Paper Award in the 16th IEEE International Conference on Mobile Data Management MDM 2015. Doctoral Dissertation Fellowship, University of Minnesota 2013. Best Research Paper Award in the 12th International Symposium on Spatial and Temporal Databases SSTD 2011. Best of Conference Citation in the 28th IEEE International Conference on Data Engineering ICDE 2012. Key activities Registration Chair for ACM SIGMOD 2016 General Co-Chair for ACM SIGSPATIAL PhD Symposium 2014, 2015 PC member for ACM SIGMOD 2016 (Demonstration Track), IEEE ICDE 2015, ACM SIGSPATIAL GIS 2015, IEEE MDM 2015 (industrial track), ACM CIKM 2015 Reviewer for ACM Transactions on Database Systems (TODS), IEEE Transactions on Knowledge and Data Engineering (TKDE), Transactions on Mobile Computing (TMC), Transactions on Information Systems and Technology (TIST), ACM Transactions on Spatial Algorithms and Systems (TSAS), and GeoInformatica Journal June 29, 2016 Erik Wirtanen CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/433.txt b/src/data/compiled_bios/433.txt new file mode 100644 index 0000000000..a5f2797a76 --- /dev/null +++ b/src/data/compiled_bios/433.txt @@ -0,0 +1 @@ +Yiping Ke NEWS I am looking for Postdoctoral Fellows who have demonstrated profiles in machine learning, statistical modeling, and network analysis. Please send in your CV if interested. BIOGRAPHY I am an Assistant Professor with the School of Computer Science and Engineering, Nanyang Technological University. Before joining NTU, I worked as a Scientist with the Institute of High Performance Computing, A*STAR and a Research Assistant Professor at CUHK. I obtained my Ph.D. from HKUST in 2008 and B.Sc. from Fudan University in 2003. RESEARCH INTEREST Data mining & machine learning: network/graph analytics, transfer learning, correlation mining, clustering, text mining, stream mining Big data analytics: focusing on big data variety Data management: indexing and query processing on large-scale graph data Applications: business analytics, computational fluid dynamics, bioinformatics HOME PUBLICATIONS SERVICES HONORS CONTACT More This site was designed with the .com website builder. Create your website today. Start Now diff --git a/src/data/compiled_bios/4330.txt b/src/data/compiled_bios/4330.txt new file mode 100644 index 0000000000..249968e8b8 --- /dev/null +++ b/src/data/compiled_bios/4330.txt @@ -0,0 +1 @@ +Jorge Sefair Jorge Sefair, an assistant professor, earned his Ph.D. from University of Florida in 2015. Sefair was awarded a University of Florida Department of Industrial and Systems Engineering graduate student research award in 2015. In 2013 and 2015 he received National Science Foundation (NSF) Travel Grant Awards for IIE Annual Conference. His research interests include network optimization, robust optimization, integer programming, applications of optimization in environment, public policy, urban planning, and finance. His current research focuses on the use of optimization techniques for the design of resilient systems that maintain a critical level of operation even under adverse uncertain circumstances. In particular, he is motivated by applications of operations research in environment, public policy, and urban planning. His research has been interdisciplinary, having published academic works with colleagues from a variety of disciplines, including civil engineering, public health, ecology, biology, and economics. jsefair@asu.edu 480-965-3190 BYENG 330 Education Ph.D., Industrial and Systems Engineering, University of Florida, 2015 M.Sc., Industrial Engineering, Universidad de los Andes (Colombia), 2008 B.A., Economics, Universidad de los Andes (Colombia), 2006 B.Sc., Industrial Engineering, Universidad de los Andes (Colombia), 2005 Research interests Network optimization, robust optimization, integer programming, applications of optimization in environment, public policy, urban planning, and finance Awards Univ. of Florida Department of Industrial and Systems Engineering 2015 graduate student research award 2013 and 2015 National Science Foundation (NSF) Travel Grant Awards (IIE Annual Conference) Runner-up for the 2015 INFORMS Computing Society Best Student Paper award October 15, 2015 Erik Wirtanen Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Jorge Sefair Home Directory and Research Directory Faculty Sefair, Jorge Jorge Sefair, an assistant professor, earned his Ph.D. from University of Florida in 2015. Sefair was awarded a University of Florida Department of Industrial and Systems Engineering graduate student research award in 2015. In 2013 and 2015 he received National Science Foundation (NSF) Travel Grant Awards for IIE Annual Conference. His research interests include network optimization, robust optimization, integer programming, applications of optimization in environment, public policy, urban planning, and finance. His current research focuses on the use of optimization techniques for the design of resilient systems that maintain a critical level of operation even under adverse uncertain circumstances. In particular, he is motivated by applications of operations research in environment, public policy, and urban planning. His research has been interdisciplinary, having published academic works with colleagues from a variety of disciplines, including civil engineering, public health, ecology, biology, and economics. jsefair@asu.edu 480-965-3190 BYENG 330 Education Ph.D., Industrial and Systems Engineering, University of Florida, 2015 M.Sc., Industrial Engineering, Universidad de los Andes (Colombia), 2008 B.A., Economics, Universidad de los Andes (Colombia), 2006 B.Sc., Industrial Engineering, Universidad de los Andes (Colombia), 2005 Research interests Network optimization, robust optimization, integer programming, applications of optimization in environment, public policy, urban planning, and finance Awards Univ. of Florida Department of Industrial and Systems Engineering 2015 graduate student research award 2013 and 2015 National Science Foundation (NSF) Travel Grant Awards (IIE Annual Conference) Runner-up for the 2015 INFORMS Computing Society Best Student Paper award October 15, 2015 Erik Wirtanen CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4331.txt b/src/data/compiled_bios/4331.txt new file mode 100644 index 0000000000..eaf4a7d975 --- /dev/null +++ b/src/data/compiled_bios/4331.txt @@ -0,0 +1 @@ +Justin Selgrad Justin Selgrad became a lecturer in the School of Computing, Informatics, and Decision Systems Engineering in 2015. Justin.Selgrad@asu.edu Education M.S., Computer Science, Washington University in St. Louis, 2006 B.S., Computer Science and Philosophy, University of Wisconsin, Oshkosh, 2004 Research interests Game mechanics, path planning, perception, game AI October 15, 2015 Erik Wirtanen Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Justin Selgrad Home Directory and Research Directory Faculty Selgrad, Justin Justin Selgrad became a lecturer in the School of Computing, Informatics, and Decision Systems Engineering in 2015. Justin.Selgrad@asu.edu Education M.S., Computer Science, Washington University in St. Louis, 2006 B.S., Computer Science and Philosophy, University of Wisconsin, Oshkosh, 2004 Research interests Game mechanics, path planning, perception, game AI October 15, 2015 Erik Wirtanen CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4332.txt b/src/data/compiled_bios/4332.txt new file mode 100644 index 0000000000..5961ede68b --- /dev/null +++ b/src/data/compiled_bios/4332.txt @@ -0,0 +1 @@ +Arunabha Sen Professor Arunabha Sen joined ASU in 1987. He is the associate chair for Graduate Programs and Research. Sens teaching focuses on networks and algorithms. His research looks at resource optimization problems in telecommunication networks. He also works on physical design of VLSI circuits, hardware-software co-design and network security. asen@asu.edu 480-965-6153 BYENG 530 http://www.public.asu.edu/~halla/ Education Ph.D., Computer Science, University of South Carolina, 1987 Research interests Resource optimization in optical, wireless and sensor networks, video transmission over mobile ad-hoc networks, network processors, system/network on chip design, combinatorial optimization, algorithm design and analysis Key activities Associate Editor, IEEE Transactions on Mobile Computing Program Committees of IEEE Infocom, Globecom, ICC, ACM Foundations on Mobile Computing January 17, 2013 CIDSE home research teaching services students Arunabha (Arun) Sen Professor Computer Science Program School of Computing,Informatics and Decision Systems Engineering Arizona State University Email: asen [at] asu [dot] edu Phone: (480) 965-6153 Fax: (480) 965-2751 Home Page: www.public.asu.edu/~halla/ Lab Page: netsci.asu.edu Mailing Address: School of Computing,Informatics and Decision Systems Engineering Ira A. Fulton School of Engineering 699 South Mill Avenue, BYENG 530 Tempe, AZ 85281 home | research | teaching | services | students | contact Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Arunabha Sen Home Directory and Research Directory Faculty Sen, Arunabha Professor Arunabha Sen joined ASU in 1987. He is the associate chair for Graduate Programs and Research. Sens teaching focuses on networks and algorithms. His research looks at resource optimization problems in telecommunication networks. He also works on physical design of VLSI circuits, hardware-software co-design and network security. asen@asu.edu 480-965-6153 BYENG 530 http://www.public.asu.edu/~halla/ Education Ph.D., Computer Science, University of South Carolina, 1987 Research interests Resource optimization in optical, wireless and sensor networks, video transmission over mobile ad-hoc networks, network processors, system/network on chip design, combinatorial optimization, algorithm design and analysis Key activities Associate Editor, IEEE Transactions on Mobile Computing Program Committees of IEEE Infocom, Globecom, ICC, ACM Foundations on Mobile Computing January 17, 2013 CIDSE CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4333.txt b/src/data/compiled_bios/4333.txt new file mode 100644 index 0000000000..ef29869779 --- /dev/null +++ b/src/data/compiled_bios/4333.txt @@ -0,0 +1 @@ +Shakarian, Paulo Paulo Shakarian, Ph.D. is a Fulton Entrepreneurial Professor (tenure-track) at Arizona State University where he directs the Cyber-Socio Intelligent System (CySIS) Laboratory specializing in cyber-security, social network analysis, and artificial intelligence. He has written numerous articles in scientific journals and has authored several books, including Elseviers Introduction to Cyber-Warfare and Cambridges forthcoming Darkweb Cyber Threat Intelligence Mining. Recently, his work was featured in major news media including Forbes, the New Yorker, Slate, The Economist, Business Insider, TechCrunch, and the BBC. He is also a New America Fellow and recipient of the Air Force Young Investigator award, DURIP award, DoD Minerva award, FOSINT-SI Best Paper, MIT Tech. Review Best of 2013, and was a DARPA Service Chiefs Fellow. Previously, Paulo was an officer in the U.S. Army where he served two combat tours in Iraq, earning a Bronze Star and the Army Commendation Medal for Valor. He also previously worked as an Assistant Professor at West Point. Additionally, he is a founder of two technology companies: IntelliSpyre, Inc. and CrossViral, Inc. Some of Paulos research has seen real-world use. His SCARE software was used to support counter-IED operations by Task Force Paladin in Afghanistan. His GANG and SNAKE social network analysis software packages are currently in use by the Chicago Police information gathered by SNAKE has directly led to arrests. Paulo holds a Ph.D. and M.S. in computer science from the University of Maryland, College Park, and a B.S. in computer science from West Point (with a Depth of Study in Information Assurance). shak@asu.edu lab.engineering.asu.edu/cysis/ Education Ph.D., Computer Science, University of Maryland, College Park, 2011 M.S.,Computer Science, University of Maryland, College Park, 2009 B.S.,Computer Science, U.S. Military Academy, West Point, 2002 Honors and awards Best Paper, FOSINT-SI (2016) Fulton Entrepreneurial Professor (2016) Selected for Innovation Showcase at TechConnect 2016 for invention Improved Malware Detection Technology. Defense University Research Instrumentation Program (DURIP) award (2016) one of 176 funded proposals (622 submitted) Cybersecurity Initiative Fellow, New America (2016) Nominee, Sidney Drell Award (2016) ASU Leadership Academy (2016) selected through a nomination process AFOSR Young Investigator Award (2015) one of 59 funded proposals (over 200 proposals submitted) Co-Principal Investigator for a DoD Minerva award (2015) one of 11 teams awarded the grant (297 proposals submitted) Meritorious Service Medal (2014) awarded by West Point For exceptionally meritorious service as an Assistant Professor in the Dept. of Electrical Engineering and Computer Science.) MIT Technology Review Best of 2013 (2013) selected as one of 12 academic papers uploaded to arXiv in 2013; selected from across all scientific disciplines DARPA Service Chiefs Fellowship (2007) selected as one of four military officers from FORCECOM Several awards for military service not related to scientific or academic contributions including the Bronze Star (2007), the Army Commendation Medal for Valor (2007), and the Combat Action Badge (2005) Key activities Board Member, Arx Nimbus, 2016-Present Fellow, Cybersecurity Initiative, New America Foundation CEO and Founder, CrossViral, Inc.,2015-Present CEO and Founder, IntelliSpyre, Inc.,2015-Present Assistant Professor, D/EECS, U.S. Military Academy, West Point NY,2011-2014 Consultant, IARPA IcArUs project,2012-2014 Graduate Research Assistant, University of Maryland, College Park, MD,2008-2011 Military Fellow, DARPA Service Chiefs Fellows Program (3 months),2007 Combat tour with First Infantry Division to Baghdad, Iraq (13 months),2006-2007 Combat tour with First Armor Division to Baghdad, Iraq (14 months),2003-2004 Commissioned Officer, U.S. Army,2002-2014 Research interests Artificial intelligence, social network analysis, cyber security January 26, 2017 Erik Wirtanen Sign In / Sign Out Sign In Menu ASU Home News/Events Academics Research Athletics Alumni Giving President About ASU My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Innovation Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu CySIS Search Primary Menu Skip to content Home CySIS Team Social Network Diffusion Cyber Security ISIS Research Publications Search for: Home Welcome to the Cyber-Socio Intelligent Systems (CySIS) Lab CySIS is part of the School of Computing, Informatics, and Decision Systems Engineering (CIDSE) in Arizona State Universitys Fulton Schools of Engineering. The CySIS Lab is primarily focused on conducting basic research relating to challenging problems in cyber security, social network mining, security informatics, and artificial intelligence with the goal of creating intelligent systems that have a significant impact on real-world problems. WE CURRENTLY HAVE NO OPEN FUNDED RA POSITIONS AT ANY LEVEL. Search for: Latest News Network Diffusion Tutorials (from NIMBioS, AAAI, and IJCAI) See our Social Network Diffusion Page for more. Cyber Attribution Dataset Cleaned DEFCON CTF dataset for data-driven cyber attribution research. For more information, see our Cyber Attribution page or the following paper. E. Nunes, N. Kulkarni, P. Shakarian, A Ruef, J. Little, Cyber-Deception and Attribution in Capture-the-Flag Exercises, Foundations of Open-Source Intelligence and Security Informatics (FOSINT-SI, held in conjunction with ASONAM-15) (Aug. 2015). ISIS Time Series Dataset ISIS Time Series Data For more information, see our ISIS resource page or the following paper. A. Stanton, A. Thart, A. Jain, P. Vyas, A. Chatterjee, P. Shakarian, Mining for Causal Relationships: A Data-Driven Study of the Islamic State, 21st ACM SIGKDD Conference on Knowledge, Discovery, and Data Mining (KDD) (Aug. 2015). Cyber-Socio Intelligent Systems Laboratory ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU Close Close Close Toggle navigation About About TechConnect World Endorsements & Testimonials FAQ Technology Committees Business Committees Press Room Past Participants Past Media Contact Program Program Summary (At-A-Glance) Business Program Full Program (All Sessions) Advanced Materials Advanced Manufacturing Energy & Sustainability Electronics & Microsystems Biotech, Medical & Pharma Personal & Home Care, Cosmetics, Foods Student Leaders Conference Confirmed Speakers Instructions for Technical Presenters Workshops Exhibit About the Expo View the Exhibitors View the Floorplan Exhibitor Service Center Sponsorship Opportunities Showcase View the Innovators About the Showcase Innovation Awards Partner Partner Sponsors & Partners Register Registration Event Venue Directions & Transportation Visas & Invitation Letters Terms & Conditions Lodging Innovation Showcase Participants About the Innovation Showcase TechConnect is pleased to host the 2016 Innovation Showcase, highlighting top industry vetted technologies. Come meet with the companies and research organizations poised to transform our innovation economy. Display/Showcase & Reception Dates: Monday, May 23 12:00 pm- 6:00 pm Tuesday, May 24, 12:00 pm - 6:00 pm M = Monday Showcase participant T = Tuesday Showcase participant * = Oral Presentation To view participating organizations, first select a search method below. You may also select an Industry Area, and then sort the results by Maturity. Search showcase participants: Industry Area Materials, Chemical (69) Electronics, Sensors, Communications (53) Energy, Efficiency (36) Biotech, Pharma (34) Medical Devices (26) Water, Waste, Environmental (26) Manufacturing, Instrumentation (19) Cyber, AI, Data, Software (13) Other (4) Maturity Prototype (171) Proven Manufacturability (44) Concept (25) Ready to Market (24) Commercial Product (16) All List of All Participants by Type, Booth, Organization and (Technology). Booth Organization 10T 4D Optical LLC, dba MicrobeScope (The MicrobeScope) 35M Acoustic MedSystems, Inc.* (TheraVision) 13M Actasys Inc. (Active Flow Control through Synthetic Jet) 14M Admas Nanotechnologies (Fluorescent Nanodiamonds for In Vivo and In Vitro Biological Imaging) 14T Adesso Advanced Materials* (Recyclable Thermoset Polymers for Sustainable Composites) 50M Advanced Biomimetic Sensors, Inc. (Nanobiomimetic reagent-free technology platform) 304 AE Machines (Customized Automation) 30T Agienic Inc* (Antimicrobial technology) 11T Agile Sciences* (Overcoming antibiotic resistance through a novel mechanism of action) 28M Aliwings, Inc.* (A revolutionary dynamic orthotic system for footwear) 724 American Univeristy in Cairo* (Herbal-bioplastic nanofibers for wound dressing) 724 American Univeristy in Cairo (Herbal-bioplastic nanofibers for wound dressing) 401 APDM Wearable Technologies (Wearable technology for healthcare) Aquidas, Inc.* (A Safe, Sustainable, and Inexpensive Water Purification System) 304 Argonne National Laboratory* (Graphene-nanodiamond solution for achieving superlubricity) 304 Argonne National Laboratory (Resin Wafer Electrodeionization (RW-EDI)) 304 Argonne National Laboratory (Virtual Business Emergency Operation Center) 6T Ariel University R&D Co., Ltd. (Improvement of Germination of Seeds using Cold plasma) 6T Ariel University R&D Co., Ltd.* (Novel Purification Method for Membrane Proteins) 6T Ariel University R&D Co., Ltd. (SW navigation improvement in urban areas) 54M / 54T Arizona Technology Enterprises (ASU)* (Bi-Layer Multifunctional Coating for the Prevention of Icing) 54 Arizona Technology Enterprises (ASU) (Improved Malware Detection Technology) 54M / 54T Arizona Technology Enterprises (ASU)* (New Class of Inorganic Plastic Crystal Electrolyte for Lithium Ion Battery) 54M / 54T Arizona Technology Enterprises (ASU)* (Soil Strengthening and Cementation) 49T ARL Designs LLC* (Anchored Immersion Microplate Lids for 3D Cell Culture) 34M / 34T Be Power Tech, Inc. (Electricity Producing Air Conditioners) 401 Beet Inc (High Efficiency Thin Film Solar Cells) 32M / 32T Brookhaven National Laboratory (Antireflective and Reduced Glare Coatings) 32M / 32T Brookhaven National Laboratory* (Fast Superconducting Re-closer for Medium Voltage Grid Applications) 32M / 32T Brookhaven National Laboratory (High Conversion Efficient Thin Film Organic Photovoltaic Devices) 32M / 32T Brookhaven National Laboratory (Splicing of Superconductor Materials) 2T BTS Software Solutions (Prototype Metadata Collection, Storage, and Search System) 53M / 53T C4 Imaging LLC (Medical devices that utilize MRI and CT to improve cancer care and enhance patient outcomes.) 312 CEA Tech (Air purification through electrostatic precipitation) 312 CEA Tech (Batteries / Lithium-Sulfur technology) 312 CEA Tech (MID InfraRed micro spectrometer) 312 CEA Tech (Modeling and Simulation for Non Destructive Testing [Additive Manufacturing, SHM (Structural Health Monitoring), ]) 312 CEA Tech (Piezoelectric micro-actuator platform for acoustics) 312 CEA Tech* (Printed Organic Sensors, using polymer inks with piezoelectric, pyroelectric or electrostrictive properties, on Large Area Flexible Surfaces (320mm x 380mm )) 312 CEA Tech (Smart Patch) 44M / 44T Center for Electrochemical Engineering Research - Ohio University* (Multi-functional Coal-Derived Graphene Films) 44M / 44T Center for Electrochemical Engineering Research - Ohio University (Selective Reductant Electrowinning for Metal Recovery and Waste Reduction) 46M / 46T Citrine Informatics (Artificial Intelligence Material Selection and Optimization Platform) 46M / 46T Citrine Informatics* (Machine Learning for Non-Destructive Evaluation in Manufacturing Environments) 301 Clemson University (Athermal Brillouin scattering optical fiber) 301 Clemson University (Flexible DC circuit breaker) 301 Clemson University (Functionalized Biodegradable Polymers to Neutralize Complex Mixtures of Organic Compounds from Environmental Sources) 301 Clemson University* (Marine anti-fouling peptide) 301 Clemson University (SimPly framing system.) 16T Columbia University* (Evaporation-driven generators) 322 Company or Organization: NASA Langley Research Center, Office of Strategic Analysis, Communications, & Business Development (Additive Manufacturing - Programmable Multifunctional Engineered Feedstock and Manufacturing Method) 39M / 39T Condalign AS* (Anisotropic polymer composites made by electric field guided self-assembly) 38T Connora Technologies Inc.* (Connora: Materials Reimagined - Reversible and Removable Plastics for Next Generation Composites) 401 Crystal Clear Technologies, Inc.* (NMX Absorbents for Removing Toxic Metals from Water) DOE-NETL* (Compact Laser Spectroscopy for Downhole Applications) DOE-NETL (Variable Grid Method for Simultaneously Visualizing Spatial Data Trends and Uncertainty) 17M / 17T Dotznano* (Graphene Quantum Dots Based on Coal Sources) 45T DropWise Technologies Corp.* (Advanced vapor-coating technologies) 314 EnerBee SAS* (Energy Harvesting Technology) 6M EngeniusMicro (Zombee Wireless Sensor Tags for a Hostile World) 29T Entvantage Diagnostics, Inc* (A Point-of-care Rapid Diagnsotic test for Bacterial SInusitis) 1M ES3, Inc. (Landing Gear Structural Health Prognostic Diagnostic System) 307 ETRI (Electronics & Telecommunications Research Institute) (Power Interruption/MIT Power Interruption Technology) 307 ETRI (Electronics and Telecommunications Research Institute) (Close Proximity Point-to-Point Communications(Zing)) 31T European Synchrotron (ESRF) (Platform for Advanced Characterisation - Grenoble (PAC-G)) 314 European Synchrotron Radiation Facility (ESRF)* (Synchrotron X-rays for advanced materials characterisation) 722 Exos Aerospace Systems & Technologies* (Suborbital Reusable Launch Vehicles (SRLV)) 631 Fermi National Accelerator Laboratory* (Compact SRF Accelerator) 631 Fermi National Accelerator Laboratory (CONFLUX) 631 Fermi National Accelerator Laboratory (Electro-Magnetic Mop "EMOP") 631 Fermi National Accelerator Laboratory (MARS15) 525 FlexeGRAPH (ANU)* (Graphene and 2D materials production and applications) 4M Fluid-Screen, Inc* (Bacterial detection in real time) 29M framergy, Inc* (Low cost platinum replacement materials to unlock fuel cells) 18M / 18T FullScaleNANO, Inc.* (NanoMet: Automated Dimensional Analysis of Nanomaterials) 28T GeneCentrix, Inc. (Linking Drugs to Phenotypes using Target-Tissue Signatures) 51M / 51T General Sleep Corporation (Zmachine Insight HST: A next generation home sleep testing system) 314 GIANT* (Miniaturized Gas Chromatography (GC) for ubiquitous applications) 37M / 37T Gnosys Global Ltd. (Nanocomposite Electrical insuation Materials for High Voltage AC and DC Network Applications) 37M / 37T Gnosys Global Ltd. (Self-repairing cables for network reinforcement) 20T H Quest Vanguard, Inc* (Wave Liquefaction: clean conversion of coal/biomass to fuels, chemicals and advanced carbon materials) 11M h2med LLC (Configurable Systems - Biosensor-Feedback PlatformTM) 24T HyperBorean, LLC (Waste Heat Powered Air-Conditioning and Refrigeration) 628 Idaho National Laboratory (CAN Bus Network Safety and Security System) 628 Idaho National Laboratory (General Line Ampacity State Solver (GLASS)) 628 Idaho National Laboratory (Protective barriers for electrical power transformers and substations) 628 Idaho National Laboratory* (Reclamation of Critical and Value Materials from Electronics using an Electrorecycling Process.) 628 Idaho National Laboratory (Switchable Polarity Solvent Forward Osmosis SPS FO) 25M Impulse Technology, LLC (A cost, effective thermal energy harvester to power wireless sensor networks (WSN) and Internet of Things.) 300 INFINGENT* (Nano-structured silica: A powerful flame retardant chemical) 300 Insplorion AB* (Battery Sensor for Charge and Health Monitoring) 300 Insplorion AB (Small, robust and cost effective air quality sensor) 38M Institut fr Funktionelle Grenzflchen (IFG) (Mineral Interface Doping) 38M Institut fr Funktionelle Grenzflchen (IFG) (Phosphorus Detector) 7T Intact Genomics, Inc. (Fungal artificial chromosome (FAC) for the discovery of natural products and new therapeutic agents) 3M Integral BioSystems (NanoM-TP: Sustained Release Technology for Disorders of the Ocular Surface and Anterior Segment) 5M Interdisciplinary Consulting Corporation (IC2) (MEMS-Based Capacitive Shear Stress Sensors for Direct Skin-Friction Measurements) 9M / 9T Inventram A.S. (A Non-Invasive Device That Decreases Internal Bleeding and Modulates Blood Flow to Organs for Metabolic Regulations) 530 Iowa State University* (Biorenewable Production Pathway for Nylon and PET) 314 ISKN (the Slate) 23M / 23T Iuliu Haieganu University of Medicine and Pharmacy (Novel treatment strategies for Alzheimer's disease using nanodelivery of cerebrolysin) 307 Korea Electrotechnology Research Institute (Dispersant-Free Conducting Paste Based on Carbon Nanomaterials with Multiple Hydrogen Bonding Moieties) 307 Korea Electrotechnology Research Institute (Superconducting Wire) 307 Korea Electrotechnology Research Institute (KERI) (Ring-shaped Bearingless Generator with Buoyant Rotor and Modular Structure) 307 Korea Institute of Civil Engineering and Building Technology (NoBl(No Blind) Double Skin Window System) 307 Korea Institute of Energy Research(KIER) (Government funded Institute)* (CO2 Capture Technology using KIERSOLTM) 307 Korea Institute of Energy Research(KIER) (Government funded Institute) (Manufacturing Method of SiOx Nanoparticles used for Li-ion Battery) 307 Korea Institute of Geoscience and Mineral Resources (Remediation Method for Arsenic Contaminated Soils) 307 Korea Institute of Geoscience and Mineral Resources (Remediation Method for Cyanide Contaminated Soils) 307 Korea Institute of Geoscience and Mineral Resources (Synthetic Method of Magnetite-Birnessite Mixture for Wastewater Treatment) Korea Institute of Industrial Technology (Gas hydrate applications for desalination and wastewater treatments) Korea Institute of Industrial Technology (Sapphire Wafering Process and Equipment) 307 Korea Institute of Industrial Technology* (Vision-Based Multimodal Tactile Sensor Module (VMTSM)) 307 Korea Research Institute of Bioscience and Biotechnology (KRIBB) (Personalized Immune Cell Therapy derived by Stem Cell) 307 Korean Institute of Materials Science (Composites for High Sensitivity Magnetic Sensors/Energy Harvesters) 307 Korean Institute of Materials Science (Conductive film/fiber using Al precursor ink) 307 Korean Institute of Materials Science (Device with Expanded Display Area) 307 Korean Institute of Materials Science (Goniometer Usage for Revealing the Characteristics of Grain Boundaries) 307 Korean Institute of Materials Science (Porous Ceramic Balls for Bioengineering) 524 Kyungpook National University Research Foundation* (Water-dispersible graphene) 5T Latent Heat Storage Pty Ltd (Thermal Energy Storage Systems) 403 Lehigh University* (A new antenna-feedback scheme to achieve emission in a narrow beam from metal-cavity semiconductor lasers) 403 Lehigh University* (A Prototype Design of Medical Oxygen Concentrator Using a Novel Rapid Pressure Swing Adsorption Process) 403 Lehigh University (A solid-state process for fabricating single crystals from glass) 403 Lehigh University (A Wavy Micropatterned Microfluidic Device for Capturing Circulating Tumor Cells) 403 Lehigh University (All Dimensional Continuous Fabrication) 403 Lehigh University (AN INTEGRATED BIOMETRIC PLATFORM FOR EVALUATION OF TARGETED DRUG DELIVERY) 403 Lehigh University (Automatic Identification of Fault Location in Single-Phase Microgrids) 403 Lehigh University (Biomanufacturing of quantum dots: evolution of size selectivity, solubility and extracellular production) 403 Lehigh University (Biomedically Superior Bioactive Glasses with Engineered Nanostructure) 403 Lehigh University* (Design and Scalable Biosynthesis of Acid-Tolerant Enzymes as Broad-Spectrum, Biocompatible Disinfectants) 403 Lehigh University (Feedback Summarization and Questionnaire Generator) 403 Lehigh University (Inducing Cancer Cell Death by Inhibition of GPCR Signaling Based on the Tumor Microenvironment) 403 Lehigh University (Integrated photonic devices for ultrahigh-speed, space-division multiplexing optical coherence tomography) 403 Lehigh University (Microfluidic Concentrator for Label-Free, Continuous Nanoparticle Processing) 403 Lehigh University (New Reagents for Difluoromethylene Transfer that Eliminate the Use of Hazardous Tetrafluoroethylene) 403 Lehigh University (Proposal for a THz spectroscopic sensor based on semiconductor quantum cascade lasers) 403 Lehigh University (TUMOR DETECTION USING BLBP (Block-based Local Binary Pattern) ON OCM IMAGES) 527 Louisiana State University Agricultural Center (Biomass Gasifier System with Low Energy and Maintenance Requirements) 527 Louisiana State University Agricultural Center* (Composites Made From Sugarcane By-products) 527 Louisiana State University Agricultural Center (Nano-micelles for Treatment of Cancer) 527 Louisiana State University Agricultural Center (VECAR: Antioxidant and Prodrug Delivery Vehicle) 527 Louisiana State University Agricultural Center (Water Soluble High Molecular Weight Chitosan Products) 47M / 47T Management Sciences, Inc.* (Embeddable Programmable Instrumentation Circuits (EPIC)) 47M / 47T Management Sciences, Inc. (ePluribus EdgeWare Real Time Network Centric Cognitive Information) 13T MSI Photogenics (Portable Neutron Spectrometer/Dosimeter) 27M MTRL Inc.* (Long-term Hydrophobic Coating for Glass (Architectural, Automotive, Exterior, Interior)) 401 NANO3D SYSTEMS LLC* (eLOCOS metallization technology for advanced 3D microsystems) 26M / 26T Nanoceramics Inc.* (Iron Boron Nitride Nanoceramic For Electronic Components) 322 NASA Armstrong Flight Research Center (AFRC) (Auto Tracking Antenna Platform) 322 NASA Armstrong Flight Research Center (AFRC) (Background Oriented Schlieren using Celestial Objects (BOSCO)) 322 NASA Armstrong Flight Research Center (AFRC) (Cheaper, Safer, More Efficient Air Launch via Towed Glider) 322 NASA Armstrong Flight Research Center (AFRC) (Improved Ground Collision Avoidance) 322 NASA Armstrong Flight Research Center (AFRC) (Intelligent Control for Performance (ICP)) 322 NASA Armstrong Flight Research Center (AFRC) (NASA Armstrongs Fiber Optic Sensing System (FOSS)) 322 NASA Armstrong Flight Research Center (AFRC) (Preliminary Research Aerodynamic Design to Lower Drag (Prandtl-D)) 322 NASA Armstrong Flight Research Center (AFRC)* (Robust Modal Filtering for Real-Time Control and Performance Optimization of Flexible Aircraft and Other Structures) 322 NASA Armstrong Flight Research Center (AFRC) (Strain Gage for Highly Elastic, Low-Modulus Materials) 322 NASA Langley Research Center, Office of Strategic Analysis, Communications, & Business Development (Additive Manufacturing Method for the Free Form Fabrication of 3-D Structures out of Electrically Conductive Filaments) 322 NASA Langley Research Center, Office of Strategic Analysis, Communications, & Business Development (Unmanned Autonomous Vehicle (UAV) Safe Operations Software Suite) 307 National Fusion Research Institute(NFRI) (Apparatus for Generating Plasma in Liquid) 307 National Fusion Research Institute(NFRI) (Plasma Torch for Material Processing and a Reactor Using the Same) 307 National Fusion Research Institute(NFRI) (Synthesis of Nano Copper and Printed Electronics Ink Using Liquid Plasma Discharge) 528 National Univeristy of Singapore (Biodegradable Vacuum-formed Modularized Shelter) 528 National University of Singapore (Carbon Aerogel Photocatalytic Foam for Simultaneous Pollutant Clean-up and Hydrogen Generation) 528 National University of Singapore (COWS Turning Garbage into Gas) 528 National University of Singapore* (Flexible microneedle skin patch integrated with Triboelectric volume sensor and energy harvester) 528 National University of Singapore (Highly Flexible and Wearable Liquid-based Microfluidic Tactile Sensor) 528 National University of Singapore (MEMS Sensors for Ultrasensitive Flow monitoring for Biomedical applications includng Intravenous therapy) 528 National University of Singapore (Production of Chiral 1, 2-Amino Alcohols and alpha-Amino Acids from Alkenes by Cascade Biocatalysis) 528 National University of Singapore* (Recyclable Cellulose Aerogels) 528 National University of Singapore (Recyclable Cellulose Aerogels) 528 National University of Singapore (Robotic Sock for Foot-Ankle Exercises) 528 National University of Singapore (Thin Film Deposited Inorganic Metal Oxide as a Selective Substrate for Mammalian Cell Culture) 528 National University Singapore (Anti-Rain/ Anti-Glare Coating) 528 National University Singapore (Biological treatment of wastewater) 528 National University Singapore (Hybrid E-Jetting and E-spray 3D printed gradient coating) 27T Nelumbo* (OMNIPHOBE) 622 New Jersey Innovation Institute, an NJIT Corporation* (CARBON NANOTUBE IMMOBILIZED MEMBRANES FOR WATER TREATMENT & RECOVERY) 622 New Jersey Innovation Institute, an NJIT Corporation (FABRICATION OF CONSTANTAN PATTERNS BY CONSTANTAN INK) 622 New Jersey Innovation Institute, an NJIT Corporation* (FILMS WITH HIERARCHICALLY ASSEMBLED MONOLAYERS OF MIXTURES OF PARTICLES) 622 New Jersey Innovation Institute, an NJIT Corporation* (HIGH RESOLUTION ANALYTICAL MICROSCOPE ON A CHIP) 622 New Jersey Innovation Institute, an NJIT Corporation (ORALLY DISSOLVING BIOCOMPATIBLE POLYMERIC FILMS FOR DELIVERY OF POORLY WATER SOLUBLE DRUGS) 627 Oak Ridge National Lab (Oak Ridge National Laboratory Big Area Additive Manufacturing Portfolio) 627 Oak Ridge National Laboratory (High Voltage Electrolytes for Ultracapacitors) 627 Oak Ridge National Laboratory* (Low-cost amorphous polymer nanocomposite with extraordinary performance) 627 Oak Ridge National Laboratory (Situ: Real-Time Situational Understanding And Discovery Of Cyber Attacks) 304 OceanComm (OceanComm is an Illinois startup commercializing the first video-capable wireless underwater modem.) 523 Office for Technology Commercialization (PrecisionAg Integrated Solutions) 523 Office for Technology Commercialization (Technologies for Organic Solar Cells) 401 OnTo Technology LLC* (Battery Development with Reclaimed Material) 1T Opus 12, Inc.* (An electrochemical device to convert CO2 into chemicals and fuels) 401 Oregon State University, School of Nuclear Science and Engineering* (A low-altitude UAS-based autonomous radiological search and identification system) organicNANO (Nanoenhanced materials for biomedical applications) 625 PACIFIC NORTHWEST NATIONAL LABORATORY (CO2BOL: CO2 Binding Organic Liquids for Carbon Capture) 625 Pacific Northwest National Laboratory (Cost-effective, high efficiency modular gas liquefaction and separation.) 625 Pacific Northwest National Laboratory (GridOPTICS (Grid Operation and Planning Technology Integrated Capabilities Suite)) 625 Pacific Northwest National Laboratory* (Organic Aqueous Redox Flow Battery for Grid Storage (OARFB)) 625 Pacific Northwest National Laboratory (Retrocommissioning Sensor Suitcase) Penn State Materials Research Institute (SLIPSERS) Penn State Materials Research Institute* (Transparent Metal Films for Smartphone, Tablet and TV Displays) 304 PhotoniCare (the CLEARVIEW otoscope) 401 Polaris Laboratories, LLC* (Prototyping of Advanced Materials for Next Generation Rechargeable Lithium Ion Batteries) 22M / 22T PolyDrop, LLC* (Anti-Corrosion Paint/Primer Additive Based on Conjugated Polymer Nano-Dispersions) 33M / 33T POSITHT la Manufacture d'Antimatiere (Positron production and non destructive technology at atomic level) 21M / 21T PowerTech Water (Inverted Capacitive Deionization (i-CDI)) 20M Precision Polyolefins LLC* (nPAO Synthetic Lubricant Base Stock) 36M / 36T QMI (Hydraulic Robotics/Object Localization/Structural Battery) 8M / 8T RFPi, LLC* (iCertainty Platform Technology) 50M / 50T Rockland Technimed limited (Rockland Technimed, Ltd. is a Theranostics company, committed to the early diagnosis and treatment of hypoxic injury. Rockland's disruptive Nano-technology OxyFusion MRI medium enriched with its patented Oxy-17 process may set the new Gold standard of) 629 Sandia National Laboratories* (Hydrocarbon Membranes for Energy and Water Electrochemical Systems) 629 Sandia National Laboratories (Magnetoelastic Smart Sensors for Smart PV Modules and Components (MagSens-PV)) 629 Sandia National Laboratories (Sodium-Based Battery Development) 629 Sandia National Laboratories (Ultra-fast X-Ray Imaging) 24M scMetrology SARL (High field superconductor of the next generation) 10M SimpleC, LLC (SimpleC (Companion and Platform)) SIMUNE ATOMISTICS S.L.* (Innovative services for materials design) 304 SoIL Diagnostics* (FertiSaver) 42M / 42T Solip Tech Co., Ltd.* (Flexible Hard Coating (Flex9H)) 49M Stellarray* (Smart X-ray Sources) 522 Sungkyunkwan University Research & Business Foundation (2D semiconductor material-metal contact resistance optimization method based on n-type doping and the edge contact design of 2D semiconductor material) 522 Sungkyunkwan University Research & Business Foundation (Development of reversible dry/wet adhesive and medical skin patch for measurement of bio-signal using biomimetic layered micro-structure) 522 Sungkyunkwan University Research & Business Foundation (FPGA-based Vision SoC technology) 522 Sungkyunkwan University Research & Business Foundation* (High-power triboelectric power generator) 522 Sungkyunkwan University Research & Business Foundation (Multi-class biological tissue classification method and apparatus for automatically controlling output power level of ultrasonic surgical unit) 522 Sungkyunkwan University Research & Business Foundation (Tactile display with rigid coupling based on soft actuator) 301 Synbiohm, LLC & MUSC Foundation for Research Development (Electrobiome) 724 The American University in Cairo (A Bare Metal Approach to Cloud Metering) 724 The American University in Cairo (A method for enhancing grain size uniformity in rolled alloy billets) 724 The American University in Cairo (Anti-Hepatitis C Selective High Affinity Ligands to block E2-CD81 Interaction) 724 The American University in Cairo (High Affinity Ligands that Target Liver Cell Surface Receptor (CD81) and Inhibit Liver invasion by Plasmodium falciparum Malaria) 525 The Australian National University* (One Step Synthesis of Coatings for Titanium Implants) 525 The Australian National University (Printed Elastomer Lenses) 525 The Australian National University (Radical Orbital Switching) 525 The Australian National University (Transferable high performance nanofilms) 301 ToleRaM Nanotech* (Targeted Rapamycin Micelle (TRaM) as a Therapeutic in Solid Organ Transplant) 529 UCF Office of Research & Commercialization (Amino Acids Produced According to a Process of Mechanocatalytic Hydrolysis of Proteins) 529 UCF Office of Research & Commercialization (Carbon Nanotube or Graphene-based Aerogels) 529 UCF Office of Research & Commercialization (Heterogeneous, Metal-Free Hydrogenation Catalyst Reduces Carbon Dioxide and Other Organic Compounds) 529 UCF Office of Research & Commercialization* (Magnesium Based Metal Composite) 529 UCF Office of Research & Commercialization* (Mechanochemical Synthesis and Applications of Borides and Diborides) 529 UCF Office of Research & Commercialization (Water-based Dust Resistant & Water Resistant Protective Coating) 12M / 12T UltraTech International Inc's Advanced Technology Group* (The "Holy Grail" of Coatings) 12M / 12T UltraTech International Inc's Advanced Technology Group (The "Holy Grail" of Coatings) 12M / 12T UltraTech International Inc.'s Advanced Technology Group* (Drisrutive, New Odor Removal Technology) 12M / 12T UltraTech International, Inc.'s Advanced Technology Grop (Portable Backpack Welder makes certified welds and weighs only 25 lbs.) 12M / 12T UltraTechInternational, Inc.'s Advanced Technology Group (New Fabric Treatment Technology that creates a new industry standard for self-cleaning and repellency) 3T Univalor (Dispersion Coded Multiple Access (DCMA) system for 60 GHz wireless communications) 3T Univalor* (Low cost high durability tunable superhydrophobic to superhydrophilic surface treatment) 3T Univalor (SEE-THROUGH SENSORS EMBEDDED IN SMARTPHONES DISPLAYS AND LARGE FORMAT DISPLAYS) 3T Univalor (Self-adaptive robotic gripper fingers) 3T Univalor* (Ultra-fast graphene growth by CVD) 15T Universit Laval (Atmospheric plasma reactor enabling rapid metal nanoparticle synthesis, and /or recovery of metal ions from aqueous solutions) 630 University of California, Santa Barbara* (Bio-Inspired Hydraulic Actuator to Stabilize Buildings in Natural Disasters) 630 University of California, Santa Barbara (Engineering Human Proteases for Therapeutic Use) 630 University of California, Santa Barbara (Flexible Arrays of MicroLEDs using the Photoelectrochemical (PEC) Liftoff Technique) 630 University of California, Santa Barbara* (Highly Accurate Occupancy Estimation Using Only Wi-Fi Power Measurements) 630 University of California, Santa Barbara (Image Restoration: Upsampling Low-Resolution Images) 4T University of Massachusetts Lowell* (A Portable Heavy Metal Detector) 523 University of Minnesota* (Isosorbidebased Polymers) 523 University of Minnesota* (Li-ion battery cathode higher energy density/charge capacity) 523 University of Minnesota (Mercury Removal Sponge) 523 University of Minnesota* (Purification of Thin Film Solar Cell Absorber Materials) 523 University of Minnesota - Office for Technology Commercialization (Improved thiourea catalysts for organic chemistry transformations) 401 University of Oregon (Heterometallic Group 13 Keggin-like Nanoclusters) 401 University of Oregon* (Organic materials as fluorescent probes, parylene process monomers, and novel chemical structures) University of Pittsburgh Medical Center* (Human-derived hemoglobin oxygen carrier) 25T University of Trento (A CMOS Quantum Random Number Generator) 30M University of Waterloo (Low-cost batch fabrication of high aspect ratio AFM tips) 30M University of Waterloo - WatCo* (A Vehicle 2 Vehicle Communication system for Smart Transpotations) 48M / 48T Untethered Labs, LLC (GateKeeper - Wireless Access Control for your Computer) 23M / 23T Uppsala University* (Co-administration of nanowired Alpha-melanocyte stimulating hormone and cerebrolysin enhances neuroprotection in concussive head injury following sleep deprivation) 23M / 23T Uppsala University (Novel therapeutic strategy for Exacerbation of brain injury induced edema and neuropathology at High Altitude by Nanowired cerebrolysin) 627 UT-Battelle, LLC / Oak Ridge National Laboratory (Bio-fertilizer for Plant and Crop Growth and Protection) Viewpoint Molecular Targeting, LLC (A Therapy for Metastatic Melanoma Cancer) 7M VORAGO Technologies* (HARDSIL process and high temperature) 31M WyoComp* (Advanced polymer nano-composites using thermal mechanically treated biofillers) 19M / 19T Wyss Institute at Harvard* (Novel Membranes: Liquid-based gating mechanism with tunable multiphase selectivity and antifouling behavior) 526 Yeungnam University Office of Research Cooperantion Foundation* (Manufacturing Methods for Highly Transparent Polycrystalline Aluminum Oxynitride Ceramics) 526 Yeungnam University, Office of Research Cooperation Foundation (Mass Producing Method for Antistatic and Antimicrobial Fabrics Using Electron Beam) Platinum Sponsors Gold Sponsor Silver Sponsors Corporate Acceleration Partners Supporting Partners About | Program | Workshops | Exhibit | Showcase | Partner | Register | Lodging | Subscribe | Contact | Site Map 2019 TechConnect. All right reserved. Disclaimer Jointly produced by Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Shakarian, Paulo Home Directory and Research Directory Faculty Shakarian, Paulo Paulo Shakarian, Ph.D. is a Fulton Entrepreneurial Professor (tenure-track) at Arizona State University where he directs the Cyber-Socio Intelligent System (CySIS) Laboratory specializing in cyber-security, social network analysis, and artificial intelligence. He has written numerous articles in scientific journals and has authored several books, including Elseviers Introduction to Cyber-Warfare and Cambridges forthcoming Darkweb Cyber Threat Intelligence Mining . Recently, his work was featured in major news media including Forbes, the New Yorker, Slate, The Economist, Business Insider, TechCrunch , and the BBC . He is also a New America Fellow and recipient of the Air Force Young Investigator award, DURIP award, DoD Minerva award, FOSINT-SI Best Paper, MIT Tech. Review Best of 2013, and was a DARPA Service Chiefs Fellow. Previously, Paulo was an officer in the U.S. Army where he served two combat tours in Iraq, earning a Bronze Star and the Army Commendation Medal for Valor. He also previously worked as an Assistant Professor at West Point. Additionally, he is a founder of two technology companies: IntelliSpyre, Inc. and CrossViral, Inc. Some of Paulos research has seen real-world use. His SCARE software was used to support counter-IED operations by Task Force Paladin in Afghanistan. His GANG and SNAKE social network analysis software packages are currently in use by the Chicago Police information gathered by SNAKE has directly led to arrests. Paulo holds a Ph.D. and M.S. in computer science from the University of Maryland, College Park, and a B.S. in computer science from West Point (with a Depth of Study in Information Assurance). shak@asu.edu lab.engineering.asu.edu/cysis/ Education Ph.D., Computer Science, University of Maryland, College Park, 2011 M.S.,Computer Science, University of Maryland, College Park, 2009 B.S.,Computer Science, U.S. Military Academy, West Point, 2002 Honors and awards Best Paper, FOSINT-SI (2016) Fulton Entrepreneurial Professor (2016) Selected for Innovation Showcase at TechConnect 2016 for invention Improved Malware Detection Technology. Defense University Research Instrumentation Program (DURIP) award (2016) one of 176 funded proposals (622 submitted) Cybersecurity Initiative Fellow, New America (2016) Nominee, Sidney Drell Award (2016) ASU Leadership Academy (2016) selected through a nomination process AFOSR Young Investigator Award (2015) one of 59 funded proposals (over 200 proposals submitted) Co-Principal Investigator for a DoD Minerva award (2015) one of 11 teams awarded the grant (297 proposals submitted) Meritorious Service Medal (2014) awarded by West Point For exceptionally meritorious service as an Assistant Professor in the Dept. of Electrical Engineering and Computer Science.) MIT Technology Review Best of 2013 (2013) selected as one of 12 academic papers uploaded to arXiv in 2013; selected from across all scientific disciplines DARPA Service Chiefs Fellowship (2007) selected as one of four military officers from FORCECOM Several awards for military service not related to scientific or academic contributions including the Bronze Star (2007), the Army Commendation Medal for Valor (2007), and the Combat Action Badge (2005) Key activities Board Member, Arx Nimbus, 2016-Present Fellow, Cybersecurity Initiative, New America Foundation CEO and Founder, CrossViral, Inc.,2015-Present CEO and Founder, IntelliSpyre, Inc.,2015-Present Assistant Professor, D/EECS, U.S. Military Academy, West Point NY,2011-2014 Consultant, IARPA IcArUs project,2012-2014 Graduate Research Assistant, University of Maryland, College Park, MD,2008-2011 Military Fellow, DARPA Service Chiefs Fellows Program (3 months),2007 Combat tour with First Infantry Division to Baghdad, Iraq (13 months),2006-2007 Combat tour with First Armor Division to Baghdad, Iraq (14 months),2003-2004 Commissioned Officer, U.S. Army,2002-2014 Research interests Artificial intelligence, social network analysis, cyber security January 26, 2017 Erik Wirtanen CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4334.txt b/src/data/compiled_bios/4334.txt new file mode 100644 index 0000000000..6cd1a96689 --- /dev/null +++ b/src/data/compiled_bios/4334.txt @@ -0,0 +1 @@ +Yan Shoshitaishuli Assistant Professor yans@asu.edu April 5, 2018 Erik Wirtanen Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Yan Shoshitaishuli Home Directory and Research Directory Faculty Shoshitaishvili, Yan Assistant Professor yans@asu.edu April 5, 2018 Erik Wirtanen CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4335.txt b/src/data/compiled_bios/4335.txt new file mode 100644 index 0000000000..7102aebda2 --- /dev/null +++ b/src/data/compiled_bios/4335.txt @@ -0,0 +1 @@ +Shrivastava, Aviral Aviral Shrivastava is Associate Professor in the School of Computing Informatics and Decision Systems Engineering at the Arizona State University, where he has established and heads the Compiler and Microarchitecture Labs (CML) (http://aviral.lab.asu.edu/). He received his Ph.D. and Masters in Information and Computer Science from University of California, Irvine, and bachelors in Computer Science and Engineering from Indian Institute of Technology, Delhi. He is a 2011 NSF CAREER Award Recipient, and recipient of 2012 Outstanding Junior Researcher in CSE at ASU. His works have received several best paper nominations and also best student paper award at VLSI 2016. His research interests include manycore architectures and their compilers, novel programmable accelerators and their compilers, software approaches for reliability, and scalable timing and software analysis for CyberPhysical Systems. His research is funded by NSF, DOE, NIST, and several industries including Microsoft, Raytheon Missile Systems, Intel, nVIDIA, etc. He serves on the organizing and program committees of several premier embedded system conferences, including DAC, ICCAD, CODES+ISSS, CASES, EMSOFT and LCTES. Aviral.Shrivastava@asu.edu 480-727-6509 Centerpoint 203-10 http://www.public.asu.edu/~ashriva6 Education Ph.D., Computer Science and Engineering,University of California, Irvine 2006 M.S., Computer Science and Engineering,University of California, Irvine, 2002 Bachelors, Computer Science and Engineering,Indian Institute of Technology, Delhi, 1999 Research interests Compilers and micro architectures for embedded systems, including techniques for power, performance reliability, temperature and code size improvement Honors and awards Best Paper Candidate at ASPDAC 2008 Key activities Program Committee Member of CASES 2007, 2008, LCTES2008, RTCSA 2007, 2008, DSD 2007, 2008 Referee of journals,TCAD, TVLSI, TECS, TODAES January 26, 2017 CIDSE Aviral Shrivastava School of Computing, Informatics and Decision Systems Engineering Arizona State University [ Google Scholar ] [ LinkedIn ] [ ResearchGate ] 203-15 Centerpoint, 660 South Mill Avenue, Tempe, AZ 85281 Phone, Fax: (480) 727-6509 Email: Aviral DOT Shrivastava AT asu DOT edu bio , vitae , statement . Home Publications Teaching Service Lab Updates Moslems paper on "An Integrated safe and fast recovery scheme from soft errors," is accepted for publication at DAC 2017. Edwards paper on "Crossroads Time-Sensitive Autonomous Intersection Management," is accepted for publication at DAC 2017. Yooseong defended his thesis successfully. Congratulations! Aviral is serving as Program Committee chair of CODES+ISSS. Reileys paper on "Systematic Methodology for the Quantitative Analysis of Pipeline Register Reliability in Embedded Systems," is accepted for publication at IEEE Transactions on Very Large Scale Integration (VLSI) Systems. Aviral is serving as associate editor of Transactions on Multi Scale Computing Systems (TMSCS). Moslems paper on "ZDC: A Compiler technique for Zero Silent Data Corruption," is accepted for publication at DAC 2016. Jians paper on "Software Coherence Management on Non-Coherent Cache Multi-cores," received Prof. N. N. Biswas Best Student Paper award at VLSI Design 2016. Aviral is serving as associate editor of Transactions on Embedded Computing Systems (TECS). Research Coftware Managed Manycore architectures Programmable accelerators. Protection from soft errors. Time in Cyber-Physical Systems lab research Teaching CSE 230 : Computer Organization CSE 325 : Embedded Microprocessor Systems CSE 420 : Computer Architecture I Here are my answers to some of the interesting questions from students. NEW In addition, I teach professional courses on Low Power Computing and Multicore Computing in universities (for Masters and Ph.D. level students), and industry. With power and parallelism now in the front and center of any system design, this is course seeks to train the workforce in the fundamentals, challenges, basic and some advanced solutions. To see if your students or employees need this course, please see the course contents here . Note to new Students If you are a student at ASU, and some of the topics that I work on engage you, the way to get into my team starts by doing well in one of my classes. If you are a prospective student, please go through my inquiry page to see if there is some challenge that particularly strikes you, and you would like to take on. I am not taking any students for summer internships, so please do not enquire. Mails about internship will not be answered. Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Shrivastava, Aviral Home Directory and Research Directory Faculty Shrivastava, Aviral Aviral Shrivastava is Associate Professor in the School of Computing Informatics and Decision Systems Engineering at the Arizona State University, where he has established and heads the Compiler and Microarchitecture Labs (CML) (http://aviral.lab.asu.edu/). He received his Ph.D. and Masters in Information and Computer Science from University of California, Irvine, and bachelors in Computer Science and Engineering from Indian Institute of Technology, Delhi. He is a 2011 NSF CAREER Award Recipient, and recipient of 2012 Outstanding Junior Researcher in CSE at ASU. His works have received several best paper nominations and also best student paper award at VLSI 2016. His research interests include manycore architectures and their compilers, novel programmable accelerators and their compilers, software approaches for reliability, and scalable timing and software analysis for CyberPhysical Systems. His research is funded by NSF, DOE, NIST, and several industries including Microsoft, Raytheon Missile Systems, Intel, nVIDIA, etc. He serves on the organizing and program committees of several premier embedded system conferences, including DAC, ICCAD, CODES+ISSS, CASES, EMSOFT and LCTES. Aviral.Shrivastava@asu.edu 480-727-6509 Centerpoint 203-10 http://www.public.asu.edu/~ashriva6 Education Ph.D., Computer Science and Engineering,University of California, Irvine 2006 M.S., Computer Science and Engineering,University of California, Irvine, 2002 Bachelors, Computer Science and Engineering,Indian Institute of Technology, Delhi, 1999 Research interests Compilers and micro architectures for embedded systems, including techniques for power, performance reliability, temperature and code size improvement Honors and awards Best Paper Candidate at ASPDAC 2008 Key activities Program Committee Member of CASES 2007, 2008, LCTES2008, RTCSA 2007, 2008, DSD 2007, 2008 Referee of journals, TCAD, TVLSI, TECS, TODAES January 26, 2017 CIDSE CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4336.txt b/src/data/compiled_bios/4336.txt new file mode 100644 index 0000000000..a75bf9c860 --- /dev/null +++ b/src/data/compiled_bios/4336.txt @@ -0,0 +1 @@ +Dan Shunk Professor Dan L. Shunk is the Avnet Professor of Supply Network Integration in Industrial Engineering at Arizona State University. He is currently pursuing research into collaborative commerce, global new product development, model-based enterprises and global supply network integration. He won a Fulbright Award in 2002-2003, the 1996 SME International Award for Education, the 1991 and 1999 I&MSE Faculty of the Year award, the 1989 SME Region VII Educator of the Year award, chaired AutoFact in 1985, and won the 1982 SME Outstanding Young Engineer award. Shunk studied at Purdue where he received his Ph.D. in Industrial Engineering in 1976. dan.shunk@asu.edu 480-965-6330 BYENG 360 Education Ph.D., Industrial Engineering, Purdue University, 1976 M.S., Industrial Engineering, Purdue University, 1972 B.S., Industrial Engineering, Purdue University, 1972 Research interests Agile, enterprise and CIM systems, group technology, planning systems, economics of computer-integrated manufacturing (CIM) strategy and strategic role of technology Honors and awards Best Teacher Award (Top 5%), 2009 Fulbright Award, 2002-2003 SME International Award for Education, 1996 I&MSE Faculty of the Year award, 1991 & 1999 SME Region VII Educator of the Year award, 1989 Key activities Editorial Boards: Int. Journal of Flexible Automation & Integrated Manufacturing; Int. Journal of Logistics; Int. Journal of Product Development December 14, 2011 CIDSE Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Dan Shunk Home Directory and Research Directory Faculty Shunk, Dan Professor Dan L. Shunk is the Avnet Professor of Supply Network Integration in Industrial Engineering at Arizona State University. He is currently pursuing research into collaborative commerce, global new product development, model-based enterprises and global supply network integration. He won a Fulbright Award in 2002-2003, the 1996 SME International Award for Education, the 1991 and 1999 I&MSE Faculty of the Year award, the 1989 SME Region VII Educator of the Year award, chaired AutoFact in 1985, and won the 1982 SME Outstanding Young Engineer award. Shunk studied at Purdue where he received his Ph.D. in Industrial Engineering in 1976. dan.shunk@asu.edu 480-965-6330 BYENG 360 Education Ph.D., Industrial Engineering, Purdue University, 1976 M.S., Industrial Engineering, Purdue University, 1972 B.S., Industrial Engineering, Purdue University, 1972 Research interests Agile, enterprise and CIM systems, group technology, planning systems, economics of computer-integrated manufacturing (CIM) strategy and strategic role of technology Honors and awards Best Teacher Award (Top 5%), 2009 Fulbright Award, 2002-2003 SME International Award for Education, 1996 I&MSE Faculty of the Year award, 1991 & 1999 SME Region VII Educator of the Year award, 1989 Key activities Editorial Boards: Int. Journal of Flexible Automation & Integrated Manufacturing; Int. Journal of Logistics; Int. Journal of Product Development December 14, 2011 CIDSE CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4337.txt b/src/data/compiled_bios/4337.txt new file mode 100644 index 0000000000..c770c28825 --- /dev/null +++ b/src/data/compiled_bios/4337.txt @@ -0,0 +1 @@ +Siddharth Srivastava Siddharth Srivastava is an assistant professor of Computer Science in the School of Computing, Informatics, and Decision Systems Engineering at Arizona State University. Prof. Srivastava was a Staff Scientist at the United Technologies Research Center in Berkeley. Prior to that, he was a postdoctoral researcher working with Stuart Russell and Pieter Abbeel at the University of California Berkeley. He received his PhD in Computer Science from the University of Massachusetts Amherst. His research interests include robotics and AI, with a focus on reasoning, planning, and acting under uncertainty. His work on integrated task and motion planning for household robotics has received coverage from international news media. His dissertation work received a Best Paper award at the International Conference on Automated Planning and Scheduling (ICAPS) and an Outstanding Dissertation award from the Department of Computer Science at UMass Amherst. Assistant Professor Learn more about Siddharth Srivastava siddharths@asu.edu October 18, 2017 Erik Wirtanen Skip to main content Report an accessibility problem Menu Sign In / Sign Out Sign In Menu ASU Home News/Events Academics Research Athletics Alumni Giving President About ASU My ASU Colleges and Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Innovation Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map and Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Corporate Engagement and Strategic Partnerships Research Park Washington D.C. China Directory Search Search iSearch Home News/Events Academics Research Athletics Alumni Giving President About ASU Edit My Profile Integrated Search Menu All ASU Faculty and Staff Students Search in: Faculty and Staff Students Search Search Siddharth Srivastava Personal Website siddharths@asu.edu 699 S Mill Ave (Brickyard Engineering Building)#592 Tempe School of Computing, Informatics, and Decision Systems Engineering Asst Professor Faculty, TEMPE Campus, Mailcode 8809 Bio Research Teaching Public Work Industry Experience Biography Siddharth Srivastava is an assistant professor of computer science in the School of Computing, Informatics, and Decision Systems Engineering at Arizona State University. Srivastava was a staff scientist at the United Technologies Research Center in Berkeley. Prior to that, he was a postdoctoral researcher working with Stuart Russell and Pieter Abbeelat the University of California Berkeley. He received his doctoratein computer science from the University of Massachusetts-Amherst. His research interests include robotics and AI, with a focus on reasoning, planning, and acting under uncertainty. His work on integrated task and motion planning for household robotics has received coverage from international news media. His dissertation work received a Best Paper Award at the International Conference on Automated Planning and Scheduling (ICAPS) and an Outstanding Dissertation award from the Department of Computer Science at UMass Amherst. Education Ph.D.Computer Science, University of Massachusetts-Amherst Videos PR2 robot does the laundry autonomously Autonomous robot doing laundry PR2 robot does the laundry autonomously PR2 robot sets the dinner table autonomously Autonomous robot sets the dinner table PR2 robot sets the dinner table autonomously Previous Video Next Video Research Awards Research Website http://siddharthsrivastava.net Google Scholar Google Scholar Profile Research Interests Field of Research AI + Robotics Focus Areas Sequential Decision Making Under Uncertainty, Integrated Task and Motion Planning for Robots, Mobile Manipulation, Generalized Planning, Knowledge Representation, Probabilistic Programming, Probabilistic Inference and Machine Learning My research objective is to develop intelligent robots and software agents that assist humans in their daily lives. Towards this objective, myresearchfocuses on developing formal frameworks, algorithms and implementationsthat allow autonomous agents to reason and act efficiently under uncertainty. The results of my work range from theoretical analyses to empirical demonstrations in the real world. Research Group Autonomous Agentsand Intelligent Robotics (AAIR)Lab Courses Spring 2019 Course Number Course Title CSE 493 Honors Thesis CSE 571 Artificial Intelligence CSE 580 Practicum CSE 590 Reading and Conference CSE 595 Continuing Registration CSE 599 Thesis CSE 790 Reading and Conference CSE 792 Research CSE 795 Continuing Registration Fall 2018 Course Number Course Title CSE 471 Intro Artificial Intelligence CSE 492 Honors Directed Study CSE 580 Practicum CSE 590 Reading and Conference CSE 599 Thesis CSE 790 Reading and Conference CSE 792 Research Summer 2018 Course Number Course Title CSE 584 Internship Spring 2018 Course Number Course Title CSE 580 Practicum CSE 590 Reading and Conference CSE 591 Seminar CSE 599 Thesis Fall 2017 Course Number Course Title CSE 590 Reading and Conference CSE 790 Reading and Conference ASU is #1 in the U.S. for Innovation Copyright and Trademark Accessibility Privacy Terms of Use Jobs Emergency Contact ASU Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Siddharth Srivastava Home Directory and Research Directory Faculty Srivastava, Siddharth Siddharth Srivastava is an assistant professor of Computer Science in the School of Computing, Informatics, and Decision Systems Engineering at Arizona State University. Prof. Srivastava was a Staff Scientist at the United Technologies Research Center in Berkeley. Prior to that, he was a postdoctoral researcher working with Stuart Russell and Pieter Abbeel at the University of California Berkeley. He received his PhD in Computer Science from the University of Massachusetts Amherst. His research interests include robotics and AI, with a focus on reasoning, planning, and acting under uncertainty. His work on integrated task and motion planning for household robotics has received coverage from international news media. His dissertation work received a Best Paper award at the International Conference on Automated Planning and Scheduling (ICAPS) and an Outstanding Dissertation award from the Department of Computer Science at UMass Amherst. Assistant Professor Learn more about Siddharth Srivastava siddharths@asu.edu October 18, 2017 Erik Wirtanen CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4338.txt b/src/data/compiled_bios/4338.txt new file mode 100644 index 0000000000..e3c4e64275 --- /dev/null +++ b/src/data/compiled_bios/4338.txt @@ -0,0 +1 @@ +Violet Syrotiuk Violet R. Syrotiuk earned her Ph.D. in Computer Science from the University of Waterloo in Canada. She started her academic career in 1999 with the University of Texas at Dallas, and joined Arizona State University in 2002 where she is now an Associate Professor. Her research interests are diverse, though primarily in wireless networks. These include: Experimentation on GENI and FIRE testbeds; applications of designed experiments, statistical analysis, time-series analysis, anomaly detection, and monitoring to cross-layer protocol design and optimization, and protocols adaptive to dynamic network conditions; applications of combinatorics to networking; and contention- and scheduled medium access control protocols. Dr. Syrotiuk is a Senior Scientist in Sustainability. syrotiuk@asu.edu 480-965-7034 BYENG 434 http://www.public.asu.edu/~syrotiuk/ Education Ph.D., Computer Science,University of Waterloo, Canada, 1992 M.Sc., Computer Science,University of British Columbia, Canada, 1984 B.Sc., Computer Science,University of Alberta, Canada, 1983 Research interests Cross-layer design and optimization in changing network conditions, modelling and monitoring, medium access control protocols, multi-hop wireless networks including MANETs, WSNs, WMNs, and cognitive radio networks Key activities Associate Editor, Computer Networks Associate Editor, International Journal of Communication Systems TPC Co-chair ACM MSWiM08 (11th ACM/IEEE International Symposium on Modeling, Analysis and Simulation of Wireless and Mobile Systems) January 26, 2017 CIDSE Dr. Violet R. Syrotiuk Associate Professor Home Publications Journal Papers Conference Proceedings Book Publishing Other Publications Invited Presentations Research Grants Teaching Student Projects Supervised Masters Theses Doctoral Dissertations Undergraduate Projects Current Projects Professional and Scientific Service Society Memberships Conference Activities Referee and Reviewer University Committee Service Evaluation of Instruction Dr. Violet R. Syrotiuk Violet R. Syrotiuk earned her Ph.D. in Computer Science from the University of Waterloo in Canada. She started her academic career in 1999 with the University of Texas at Dallas, and joined Arizona State University in 2002 where she is now an Associate Professor. Her research interests are diverse, though primarily in wireless networks. These include: Applications of designed experiments, statistical analysis, time-series analysis, anomaly detection, and monitoring to cross-layer protocol design and optimization, and protocols adaptive to dynamic network conditions. Applications of combinatorics to networking, including topology-transparent scheduling, compressive sensing, and traffic grooming. Contention- and scheduled medium access control protocols. Experimentation on GENI and FIRE testbeds. Dr. Syrotiuk is a Senior Scientist in Sustainability. (Short) CV, last updated 2014 CONTACT Computer Science & Engineering School of Computing, Informatics, and Decision Systems Engineering Arizona State University P.O. Box 878809 Tempe, AZ 85287-8809 U.S.A. Telephone: (480) 965-7034 FAX: (480) 965-2751 Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Violet Syrotiuk Home Directory and Research Directory Faculty Syrotiuk, Violet Violet R. Syrotiuk earned her Ph.D. in Computer Science from the University of Waterloo in Canada. She started her academic career in 1999 with the University of Texas at Dallas, and joined Arizona State University in 2002 where she is now an Associate Professor. Her research interests are diverse, though primarily in wireless networks. These include: Experimentation on GENI and FIRE testbeds; applications of designed experiments, statistical analysis, time-series analysis, anomaly detection, and monitoring to cross-layer protocol design and optimization, and protocols adaptive to dynamic network conditions; applications of combinatorics to networking; and contention- and scheduled medium access control protocols. Dr. Syrotiuk is a Senior Scientist in Sustainability. syrotiuk@asu.edu 480-965-7034 BYENG 434 http://www.public.asu.edu/~syrotiuk/ Education Ph.D., Computer Science,University of Waterloo, Canada, 1992 M.Sc., Computer Science,University of British Columbia, Canada, 1984 B.Sc., Computer Science,University of Alberta, Canada, 1983 Research interests Cross-layer design and optimization in changing network conditions, modelling and monitoring, medium access control protocols, multi-hop wireless networks including MANETs, WSNs, WMNs, and cognitive radio networks Key activities Associate Editor, Computer Network s Associate Editor, International Journal of Communication Systems TPC Co-chair ACM MSWiM08 (11th ACM/IEEE International Symposium on Modeling, Analysis and Simulation of Wireless and Mobile Systems) January 26, 2017 CIDSE CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4339.txt b/src/data/compiled_bios/4339.txt new file mode 100644 index 0000000000..81949ddf16 --- /dev/null +++ b/src/data/compiled_bios/4339.txt @@ -0,0 +1 @@ +Farideh Tadayon-Navabi Senior Lecturer Farideh Tadayon-Navabi joined ASU in 1997. She is currently a senior lecturer for computer science and engineering. Prior to ASU, she held a teaching position at University of Louisiana in Monroe. Tadayon-Navabis research focuses on computer science education, programming languages, and software development. She is interested in improving the undergraduate program curriculum, and works on developing strategies to help students succeed in introductory courses and to retain students in the program. She has taught courses in the computer science curriculum that focus on program development, programming languages, data structures and algorithms. navabi@asu.edu 480-965-3228 BYENG 518 http://www.public.asu.edu/~navabi Education M.S., Computer Science, University of Louisiana at Lafayette, 1991 B.S., Computer Science, University of Louisiana at Lafayette, 1988 Research interests Computer science education, programming languages December 15, 2011 CIDSE Faye Navabi Senior Lecturer Faye Tadayon-Navabi Office: Brickyard 518 (5th floor) P hone: 480- 965 3228 email: navabi@asu.edu Office Hours : TTH 1:30-3:00pm & MW 3:00 -4:00pm and by appointment Teaching: CSE110: Principles of Programming with Java CSE182: Problem Solving with C# CSE200 Concepts of Computer Science CSE185: Internet & WWW Principal Areas of Teaching and Research: I am interested in developing strategies to help students succeed in introductory courses and to retain students in the program. Advances Placement Computer Science: Chandler High School (2006) Useful links to Advanced Placement Computer Science Selected Publications: F. Tadayon-Navabi, M.R. Anderson-Rowland, J.S. Collofello, and D. Banks, Increasing the Probability of Success in the First Computer Science Course, Proc. 34th Ann. ASEE/IEEE Frontiers in Education Conf. (FIE 2004), IEEE Press, 2004, pp. 16-20. J. Collofello, J. Urban, M. Anderson-Rowland, F. Navabi, and D. Roman, COOL (Computer Outreach Opportunities for Learning) Development and Assessment, Proc. 33rd ASEE/IEEE Frontiers in Eng. Education Conf., 2003. F. Navabi and W.R. Edwards, Analysis of the Behavior of Stack-Based Markov Model, Proc. 22nd Southeastern Int. Conf. on Combinatory, Graph Theory, and Computing 1991. F. Navabi, tech. report 90-4-8, CACS Personal: Pictures of my China trip (June 2006): http://www.azphotovideo.com/proofing.htm click on China Trip. Password is China. Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Farideh Tadayon-Navabi Home Directory and Research Directory Faculty Tadayon-Navabi, Farideh Senior Lecturer Farideh Tadayon-Navabi joined ASU in 1997. She is currently a senior lecturer for computer science and engineering. Prior to ASU, she held a teaching position at University of Louisiana in Monroe. Tadayon-Navabis research focuses on computer science education, programming languages, and software development. She is interested in improving the undergraduate program curriculum, and works on developing strategies to help students succeed in introductory courses and to retain students in the program. She has taught courses in the computer science curriculum that focus on program development, programming languages, data structures and algorithms. navabi@asu.edu 480-965-3228 BYENG 518 http://www.public.asu.edu/~navabi Education M.S., Computer Science, University of Louisiana at Lafayette, 1991 B.S., Computer Science, University of Louisiana at Lafayette, 1988 Research interests Computer science education, programming languages December 15, 2011 CIDSE CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/434.txt b/src/data/compiled_bios/434.txt new file mode 100644 index 0000000000..a24749bca6 --- /dev/null +++ b/src/data/compiled_bios/434.txt @@ -0,0 +1 @@ +Nanyang Technological University Home Education Employment History Media Coverage & Showcases Awards and Honors Professional Activities Research Team Publications and Patents Acknowledgement Databases & Codes Videos On-line Courses Adams Wai Kin Kong Associate Professor School of Science and Computer Engineering Nanyang Technological University Nanyang Avenue, Singapore, 639798 Office: N4-02a-017 Tel: 65-6513-8041 Fax: 65-6792-6559 E-mails: adamskong AT ntu.edu.sg / adamskong AT ieee.org Biography Dr. Adams Wai Kin Kong received the Ph.D. degree from the University of Waterloo, Canada. Currently, he is an associate professor at the Nanyang Technological University, Singapore . His papers have been published in TPAMI, TIP, TIFS, TSMC, TCSVT, CVPR and Pattern Recognition. One of his papers was selected as a spotlight paper by TPAMI and another one was selected as Honorable Mention by Pattern Recognition. With his students, he received Honeywell Best Student Paper Award in The IEEE Fifth International Conference on Biometrics: Theory, Applications and Systems (BTAS) , 2012. He received the best reviewer award from BTAS 2016. In the summer of 2008, he served as an expert witness to the U.S. Department of Justice for the c hild sexual abuse case , United States v, Michael Pepe . He also serves as a consultant for other legal cases in Singapore and as an associate editor for TIFS. He has developed seven patents; four of his patents have been approved, and the others have been filed. His research interests include biometrics, forensics, image processing and pattern recognition. What's New Want to study PhD at NTU / Look for research positions. Please click . Shitala Prasad and Adams Kong, "Using Object Information for Spotting Text", ECCV 2018 Yi Huang, Adams Kong and Kwok Yan Lam, "From the Perceptive of CNN to Adversarial Iris Image", BTAS 2018 Yanzhu Liu, Adams Kong and Chi Keong Goh, " A constrained deep neural network for ordinal regression ", CVPR 2018 Peicong Yu and Adams Kong, "A metra-recognition based skin marks matching algorithm with feature fusion for forensic identification", ICB 2018 Joseph Toh, Suman Bhoi, Sai Yee Chuah, Anjali Jhingan, Adams Kong, Steven Thng, " Automated Scoring of Vitiligo Using Superpixel-Generated Computerized Digital Image Analysis of Clinical Photographs: A Novel and Consistent Way to Score Vitiligo ", British Journal of Dermatology, 2018 diff --git a/src/data/compiled_bios/4340.txt b/src/data/compiled_bios/4340.txt new file mode 100644 index 0000000000..7df5ee4dd8 --- /dev/null +++ b/src/data/compiled_bios/4340.txt @@ -0,0 +1 @@ +Hanghang Tong Hanghang Tong is currently an assistant professor at School of Computing, Informatics, and Decision Systems Engineering (CIDSE), Arizona State University since August 2014. Before that, he was an assistant professor at Computer Science Department, City College, City University of New York, a research staff member at IBM T.J. Watson Research Center and a Post-doctoral fellow in Carnegie Mellon University. He received his M.Sc and Ph.D. degree from Carnegie Mellon University in 2008 and 2009, both majored in Machine Learning. His research interest is in large scale data mining for graphs and multimedia. He has received several awards, including one test of time award (ICDM 10-Year highest impact paper award), four best paper awards and four best of conference. He has published over 100 referred articles and more than 20 patents. hanghang.tong@asu.edu 480-727-1431 BYENG 416 http://faculty.engineering.asu.edu/htong/ Education Ph.D., Computer Science, Carnegie Mellon University, 2009 M. Sci., Computer Science, Carnegie Mellon University, 2008 M. Eng., Pattern Recognition and Intelligent System, Tsinghua University, J2005 B. Eng., Automation Technology, Tsinghua University, 2002 Research interests Large scale data mining and machine learning, especially for graph and multimedia data with applications to social networks analysis, healthcare, cyber-security and e-commerce Honors and awards Data Mining Reveals the Secret to Getting Good Answers, MIT Technology Review, 2013 Best Paper Award, The 21st ACM International Conference on Information and Knowledge Management (CIKM), 2012. IBM Research Accomplishment Award on Social and Cognitive Network Science, 2012. Statistical Analysis and Data Mining on Bests of SDM 2011, 2011. Frontiers of Computer Science on Bests of ICDM 2010, 2010. Best Paper Award, 2008 SIAM Conference on Data Mining (SDM), 2008 Best Research Paper Award, The 6th IEEE International Conference on Data Mining (ICDM), 2006. Key activities Associate Editor in ACM SIGKDD Exploration (since 2014). Guest Editor in special issue on data mining technologies for computational social science, DAMI 2012; special issue on connected health at big data era, TKDD 2014; special issue on big data analytics and applications, ELSEVIER Big Data Research 2014. Section Editor in Social Network Applications in Homeland Security, Terrorism, Fraud De-tection, Public Sector, Politics and Case studies, in Encyclopedia of Social Network Analysis and Mining (ESNAM) by Springer. Program Co-chair in the workshop on Interactive Mining for Big Data (in CIKM 2014), the workshop on Connected Health at Big Data Era (in KDD 2014); the 1st workshop on Diffusion Networks and Cascade Analytics (in WSDM 2014); the 2nd international workshop on Large Scale Network Analysis (LSNA) (in WWW 2013); the 10th workshop on Mining and Learning with Graphs (MLG) (in ICML 2012) and Data Mining Technologies for Computational Collective Intelligence (DMCCI) (in ICDM 2011). Senior Program Committee in CIKM 2013 and PAKDD 2013-2014. January 26, 2017 Erik Wirtanen Menu Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Graduate Health Solutions Honors Journalism Law Nursing and Health Innovation Public Service and Community Solutions Sustainability University College New: Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Thunderbird Skysong Research Park Washington D.C. China Directory Search Search Engineering ASU Hanghang Tong Search Primary Menu Skip to content Hanghang Tong Data Lab Research Services Teaching Search for: Hanghang Tong Basic Info. Assistant Professor Email: my first name DOT my last name DOT asu DOT edu Phone: 480-727-1431 Office: brickyard 416 Education Ph.D., Computer Science, Carnegie Mellon University, 2009 M. Sci., Computer Science, Carnegie Mellon University, 2008 M. Eng., Pattern Recognition and Intelligent System, Tsinghua University, 2005 B. Eng., Automation Technology, Tsinghua University, 2002 Research interests Large scale data mining and machine learning, especially for graph and multimedia data with applications to social networks analysis, healthcare, cyber-security and e-commerce Honors and awards Data Mining Reveals the Secret to Getting Good Answers, MIT Technology Review, 2013 Best Paper Award, The 21st ACM International Conference on Information and Knowledge Management (CIKM), 2012. IBM Research Accomplishment Award on Social and Cognitive Network Science, 2012. Statistical Analysis and Data Mining on Bests of SDM 2011, 2011. Frontiers of Computer Science on Bests of ICDM 2010, 2010. Best Paper Award, 2008 SIAM Conference on Data Mining (SDM), 2008 Best Research Paper Award, The 6th IEEE International Conference on Data Mining (ICDM), 2006. Key activities Associate Editor in ACM SIGKDD Exploration (since 2014). Guest Editor in special issue on data mining technologies for computational social science, DAMI 2012; special issue on connected health at big data era, TKDD 2014; special issue on big data analytics and applications, ELSEVIER Big Data Research 2014. Section Editor in Social Network Applications in Homeland Security, Terrorism, Fraud De-tection, Public Sector, Politics and Case studies, in Encyclopedia of Social Network Analysis and Mining (ESNAM) by Springer. Program Co-chair in the workshop on Interactive Mining for Big Data (in CIKM 2014), the workshop on Connected Health at Big Data Era (in KDD 2014); the 1st workshop on Diffusion Networks and Cascade Analytics (in WSDM 2014); the 2nd international workshop on Large Scale Network Analysis (LSNA) (in WWW 2013); the 10th workshop on Mining and Learning with Graphs (MLG) (in ICML 2012) and Data Mining Technologies for Computational Collective Intelligence (DMCCI) (in ICDM 2011). Senior Program Committee in CIKM 2013 and PAKDD 2013-2014. Search for: contact engineering Ira A. Fulton Schools of Engineering Arizona State University | P.O. Box 9309 | Tempe, AZ 85287-9309 Brickyard 6th Floor | link to map Engineering Administration: 480-965-1730 Copyright & Trademark Accessibility Privacy jobs@asu Emergency Contact ASU Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Hanghang Tong Home Directory and Research Directory Faculty Tong, Hanghang Hanghang Tong is currently an assistant professor at School of Computing, Informatics, and Decision Systems Engineering (CIDSE), Arizona State University since August 2014. Before that, he was an assistant professor at Computer Science Department, City College, City University of New York, a research staff member at IBM T.J. Watson Research Center and a Post-doctoral fellow in Carnegie Mellon University. He received his M.Sc and Ph.D. degree from Carnegie Mellon University in 2008 and 2009, both majored in Machine Learning. His research interest is in large scale data mining for graphs and multimedia. He has received several awards, including one test of time award (ICDM 10-Year highest impact paper award), four best paper awards and four best of conference. He has published over 100 referred articles and more than 20 patents. hanghang.tong@asu.edu 480-727-1431 BYENG 416 http://faculty.engineering.asu.edu/htong/ Education Ph.D., Computer Science, Carnegie Mellon University, 2009 M. Sci., Computer Science, Carnegie Mellon University, 2008 M. Eng., Pattern Recognition and Intelligent System, Tsinghua University, J2005 B. Eng., Automation Technology, Tsinghua University, 2002 Research interests Large scale data mining and machine learning, especially for graph and multimedia data with applications to social networks analysis, healthcare, cyber-security and e-commerce Honors and awards Data Mining Reveals the Secret to Getting Good Answers, MIT Technology Review, 2013 Best Paper Award, The 21st ACM International Conference on Information and Knowledge Management (CIKM), 2012. IBM Research Accomplishment Award on Social and Cognitive Network Science, 2012. Statistical Analysis and Data Mining on Bests of SDM 2011, 2011. Frontiers of Computer Science on Bests of ICDM 2010, 2010. Best Paper Award, 2008 SIAM Conference on Data Mining (SDM), 2008 Best Research Paper Award, The 6th IEEE International Conference on Data Mining (ICDM), 2006. Key activities Associate Editor in ACM SIGKDD Exploration (since 2014). Guest Editor in special issue on data mining technologies for computational social science, DAMI 2012; special issue on connected health at big data era, TKDD 2014; special issue on big data analytics and applications, ELSEVIER Big Data Research 2014. Section Editor in Social Network Applications in Homeland Security, Terrorism, Fraud De-tection, Public Sector, Politics and Case studies, in Encyclopedia of Social Network Analysis and Mining (ESNAM) by Springer. Program Co-chair in the workshop on Interactive Mining for Big Data (in CIKM 2014), the workshop on Connected Health at Big Data Era (in KDD 2014); the 1st workshop on Diffusion Networks and Cascade Analytics (in WSDM 2014); the 2nd international workshop on Large Scale Network Analysis (LSNA) (in WWW 2013); the 10th workshop on Mining and Learning with Graphs (MLG) (in ICML 2012) and Data Mining Technologies for Computational Collective Intelligence (DMCCI) (in ICDM 2011). Senior Program Committee in CIKM 2013 and PAKDD 2013-2014. January 26, 2017 Erik Wirtanen CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4341.txt b/src/data/compiled_bios/4341.txt new file mode 100644 index 0000000000..13f2810b54 --- /dev/null +++ b/src/data/compiled_bios/4341.txt @@ -0,0 +1 @@ +Kurt VanLehn Professor Kurt VanLehn joined ASU in 2008. kurt.vanlehn@asu.edu 480-727-6348 BYENG M1-02 http://www.public.asu.edu/~kvanlehn/ Education Ph.D.,Computer Science, MIT, 1983 Research interests Applications of AI to education (Intelligent Tutoring Systems; teachable agents; tutorial NL dialogue systems); human learning (studentmodeling; cognitive modeling); cognitive science Honors and awards Fellow of the Cognitive Science Society Fellow of the Center for Advanced Study in the Behavioral Sciences nine best paper awards Key activities Former senior editor, Cognitive Science Editorial boards of AI in Education, Cognition and Instruction, Machine Learning, Journal of the Leanring Sciences Senior PC member for ITS, AI&Ed, Cognitive Science Conference August 26, 2013 CIDSE Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact VanLehn, Kurt Home VanLehn, Kurt VanLehn, Kurt May 8, 2016 CIDSE CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU Kurt Vanlehn The Diane and Gary Tooker Chair for Effective Education in Science, Technology, Engineering and Math School of Computing, Informatics and Decision Systems Engineering Arizona State University Office: Room M1-02, The Brickyard, 699 S. Mill Avenue, Tempe Mail: PO Box 878809, Tempe, AZ 85287-8809 Office Phone: 480-727-6348 My email is asu edu Research Interests: Intelligent tutoring systems, Educational data mining, Cognitive science, Learning science Bio Vita & publications Projects ASU teaching Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Kurt VanLehn Home Directory and Research Directory Faculty VanLehn, Kurt Professor Kurt VanLehn joined ASU in 2008. kurt.vanlehn@asu.edu 480-727-6348 BYENG M1-02 http://www.public.asu.edu/~kvanlehn/ Education Ph.D.,Computer Science , MIT, 1983 Research interests Applications of AI to education (Intelligent Tutoring Systems; teachable agents; tutorial NL dialogue systems); human learning (studentmodeling; cognitive modeling); cognitive science Honors and awards Fellow of the Cognitive Science Society Fellow of the Center for Advanced Study in the Behavioral Sciences nine best paper awards Key activities Former senior editor, Cognitive Science Editorial boards of AI in Education, Cognition and Instruction, Machine Learning, Journal of the Leanring Sciences Senior PC member for ITS, AI&Ed, Cognitive Science Conference August 26, 2013 CIDSE CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4342.txt b/src/data/compiled_bios/4342.txt new file mode 100644 index 0000000000..10e7f3b02e --- /dev/null +++ b/src/data/compiled_bios/4342.txt @@ -0,0 +1 @@ +J. Rene Villalobos J. Rene Villalobos is an associate professor in the Industrial Engineering Department of Arizona State University. His research interests are in the areas of logistics, automated quality systems, manufacturing systems and applied operations research. Sponsors of Professors Villalobos research include the National Science Foundation, Texas Advanced Technology Program, the Arizona Department of Transportation, U.S. Army and private industry totaling an excess of $3 million dollars. He was the recipient of the 1993 IIE Doctoral Dissertation Award and a 1995 NSF Career Grant. He is a registered professional engineer in the State of Texas. rene.villalobos@asu.edu 480-965-0437 BYENG 322 http://eal.asu.edu Education Ph.D., Industrial Engineering,Texas A&M University, 1991 M.S., Industrial Engineering,University of Texas, El Paso, 1987 B.S., Mechanical-Industrial Engineering,Instituto Tecnolgico de Chihuahua, 1982 Research interests Logistics, automated quality systems, manufacturing systems and applied operations research, International Logistics and Productivity Improvement Laboratory (ILPIL) Honors and awards NSF Career Award, 1995 Key activities Member, Institute for Operations Research and the Management Science Member, American Society for Engineering Education Technical Advisory Board Member, Int. Journal of Interactive Design and Manufacturing Director, Center for Engineering Logistics and Distribution October 7, 2016 CIDSE Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact J. Rene Villalobos Home Directory and Research Directory Faculty Villalobos, J. Rene J. Rene Villalobos is an associate professor in the Industrial Engineering Department of Arizona State University. His research interests are in the areas of logistics, automated quality systems, manufacturing systems and applied operations research. Sponsors of Professors Villalobos research include the National Science Foundation, Texas Advanced Technology Program, the Arizona Department of Transportation, U.S. Army and private industry totaling an excess of $3 million dollars. He was the recipient of the 1993 IIE Doctoral Dissertation Award and a 1995 NSF Career Grant. He is a registered professional engineer in the State of Texas. rene.villalobos@asu.edu 480-965-0437 BYENG 322 http://eal.asu.edu Education Ph.D., Industrial Engineering,Texas A&M University, 1991 M.S., Industrial Engineering,University of Texas, El Paso, 1987 B.S., Mechanical-Industrial Engineering,Instituto Tecnolgico de Chihuahua, 1982 Research interests Logistics, automated quality systems, manufacturing systems and applied operations research, International Logistics and Productivity Improvement Laboratory (ILPIL) Honors and awards NSF Career Award, 1995 Key activities Member, Institute for Operations Research and the Management Science Member, American Society for Engineering Education Technical Advisory Board Member, Int. Journal of Interactive Design and Manufacturing Director, Center for Engineering Logistics and Distribution October 7, 2016 CIDSE CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4343.txt b/src/data/compiled_bios/4343.txt new file mode 100644 index 0000000000..65b8f94b2b --- /dev/null +++ b/src/data/compiled_bios/4343.txt @@ -0,0 +1 @@ +Sarma Vrudhula Sarma Vrudhula joined ASU in 2005. Prior to that, he was on the faculty of the ECE departments at the University of Arizona, and the University of Southern California. He was the founding director of the NSF S/IUCRC Center for Low Power Electronics at the University of Arizona, in collaboration with the EE department of the Arizona State University. He is also the founding director of the NSF I/UCRC Center for Embedded Systems at ASU. His work spans several areas in design automation and computer aided design for digital integrated circuit and systems, focusing on energy management of circuits and systems. Specific topics include: energy optimization of battery powered computing systems and wireless sensor networks; system level dynamic power and thermal management of multicore processors and system-on-chip (SoC) focusing on mobile devices; statistical methods for the analysis of process variations; statistical optimization of performance, power and leakage; new circuit architectures of threshold logic circuits for the design of ASICs and FPGAs; circuit and system architectures using emerging device technologies; non Von Neumann architectures. He was made Fellow of the IEEE in 2016 for contributions to low power and energy-efficient design of digital circuits and systems. vrudhula@asu.edu 480-727-4152 Centerpoint 203-25 Vrudhulas website Education Ph.D., Electrical and Computer Engineering, University of Southern California, 1985 M.S., Electrical Engineering, University of Southern California, 1980 B.Math., University of Waterloo, Ontario, Canada, 1976 Research interests CAD for VLSI circuits, logic synthesis and verification, low-power design, power, energy and thermal management in processors performance, power and yield optimization of VLSI circuits, novel logic structures and applications to biology Honors and awards Best Researcher, Senior Faculty (SCIDSE), 2009; Best Researcher, Senior Faculty (ASU CIDSE) 2011 Key activities Director, Center for Embedded Systems; former associate editor for the IEEE Transactions on VLSI; current associate editor for the IEEE Transaction on CAD and the ACM Transactions on Design Automation of Electronic Systems (TODAES); former visiting scientist with Motorolas Advanced Design Tools group, Austin, TX January 26, 2017 CIDSE Research Teaching Students Recognitions Home Sarma Vrudhula at ASU Research Battery Powered Systems CAD for VLSI Energy Management of Wireless Sensor Networks Power and Energy Management of Multicore Processors Statistical Analysis and Optimization of Digital Systems Threshold Logic Students Teaching Algorithms for Computer-Aided Design of VLSI Systems CEN 691: Algorithms for Computer-Aided Design of VLSI Systems CSE 320: Design & Synthesis of Digital Hardware Digital VLSI Testing Recognitions Sarma Vrudhula at ASU Professor School of Computing, Informatics and Decision Systems Engineering at Arizona State University, Tempe AZ Director NSF I/UCRC Center for Embedded Systems Sarma Vrudhula received the Bachelors of Mathematics degree from the University of Waterloo, Ontario, Canada, in 1976, majoring in computer science and mathematical statistics. He moved to Venice CA in 1977 and while enrolled as a graduate student at in EE-Systems department at theUniversity of Southern California, worked as a research assistant in USC Information Sciences Institute in Marina Del Rey, CA. He received the M.S. and Ph.D degrees in electrical engineering from the University of Southern California in 1980 and 1985, respectively. During 1985-1992 he was on the faculty of the EE-Systems department of the University of Southern California. From 1992 to 2005 he was a professor in the Electrical and Computer Engineering department at the University of Arizona, in Tucson, AZ. During that period, he was the founding Director of the NSF UA/ASU Center for Low Power Electronics. He joined ASU in 2005, and became the director for the Center for Embedded Systems at ASU in 2006, which became an NSF IUCRC Center in 2009. He became a Fellow of the IEEE for contributions to low power and energy-efficient design of digital circuits and systems. His work spans several areas in design automation and computer aided design for digital integrated circuit and systems, focusing on energy management of circuits and systems. Specific topics include: energy optimization of battery powered computing systems and wireless sensor networks; system level dynamic power and thermal management of multicore processors and system-on-chip (SoC); statistical methods for the analysis of process variations; statistical optimization of performance, power and leakage; new circuit architectures of threshold logic circuits for the design of ASICs and FPGAs; technology mapping with threshold logic circuits; the implementation of threshold logic using spintronic devices, and non-Boolean computation in emerging technologies. His teaching experience includes both undergraduate and graduate courses in digital systems design and testing, VLSI design, CAD algorithms for VLSI, advanced synthesis and verification methods, computer architecture, and discrete mathematics. Google Scholar Page My Office and Directions (Room 230-25) Department Office Address and Directions Updating... sarma_vrudhula_cv.pdf (210k) Sarma Vrudhula, Jun 15, 2018, 4:22 PM v.1 Report Abuse | Powered By Google Sites Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Sarma Vrudhula Home Directory and Research Directory Faculty Vrudhula, Sarma Sarma Vrudhula joined ASU in 2005. Prior to that, he was on the faculty of the ECE departments at the University of Arizona, and the University of Southern California. He was the founding director of the NSF S/IUCRC Center for Low Power Electronics at the University of Arizona, in collaboration with the EE department of the Arizona State University. He is also the founding director of the NSF I/UCRC Center for Embedded Systems at ASU. His work spans several areas in design automation and computer aided design for digital integrated circuit and systems, focusing on energy management of circuits and systems. Specific topics include: energy optimization of battery powered computing systems and wireless sensor networks; system level dynamic power and thermal management of multicore processors and system-on-chip (SoC) focusing on mobile devices; statistical methods for the analysis of process variations; statistical optimization of performance, power and leakage; new circuit architectures of threshold logic circuits for the design of ASICs and FPGAs; circuit and system architectures using emerging device technologies; non Von Neumann architectures. He was made Fellow of the IEEE in 2016 for contributions to low power and energy-efficient design of digital circuits and systems. vrudhula@asu.edu 480-727-4152 Centerpoint 203-25 Vrudhulas website Education Ph.D., Electrical and Computer Engineering, University of Southern California, 1985 M.S., Electrical Engineering, University of Southern California, 1980 B.Math., University of Waterloo, Ontario, Canada, 1976 Research interests CAD for VLSI circuits, logic synthesis and verification, low-power design, power, energy and thermal management in processors performance, power and yield optimization of VLSI circuits, novel logic structures and applications to biology Honors and awards Best Researcher, Senior Faculty (SCIDSE), 2009; Best Researcher, Senior Faculty (ASU CIDSE) 2011 Key activities Director, Center for Embedded Systems; former associate editor for the IEEE Transactions on VLSI ; current associate editor for the IEEE Transaction on CAD and the ACM Transactions on Design Automation of Electronic Systems (TODAES) ; former visiting scientist with Motorolas Advanced Design Tools group, Austin, TX January 26, 2017 CIDSE CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4344.txt b/src/data/compiled_bios/4344.txt new file mode 100644 index 0000000000..0ea9226fc5 --- /dev/null +++ b/src/data/compiled_bios/4344.txt @@ -0,0 +1 @@ +Yalin Wang Associate Professor Yalin Wang joined Arizona State University in 2010. Before joining ASU, he was a key investigator of Center for Computational Biology at University of California, Los Angeles. Between 2004 and 2008, he was a cofounder and the CTO of Geometric Informatics, Inc., a NIST Advanced Technology Program Award recipient. He has published over 80 peer-reviewed journal and conference papers. yalin.wang@asu.edu 480-965-6871 http://gsl.lab.asu.edu Education Ph.D., Electrical Engineering,University of Washington, 2002 M.S., Computer Science,Tsinghua University, China, 1996 B.S., Computer Science,Tsinghua University, China, 1994 Research interests Computer vision, medical imaging, computer graphics, geometric modeling, statistical pattern recognition Honors and awards Best visualization software tool in software competition atUCLA Center for Computational Biology, Automated Brain Sulcal Detection Tool& Conformal Spherical Analysis Tool, 2006 Key activities Co-organizer of Mini-Symposium Mathematics for Brain Mapping in Society of Industrial and Applied Mathematics (SIAM) Annual Meeting, Boston, MA, July 2006 June 13, 2017 CIDSE News People Join Us Yalin Wang Crew Publication Journal Papers Conference Papers Book Chapters Conference Abstracts Research Brain Network Analysis Optimal Mass Transport Spherical Sparse Coding and its Application Heat Kernel Based Cortical Thickness Estimation Multivariate Tensor-Based Morphometry Teichmller Shape Descriptor and Its Application Surface Fluid Registration and its Applications Surface Conformal Mapping Genetic Influence on Hippocampal Morphometry Premature Neonates ADNI Resources PASS-MP mTBM IPF 3dVOT mTBM_Ventricle Home Previous Next Research Highlight Brain Network Analysis Wasserstein Distance Patch Analysis-based Surface Sparse-coding Volumetric Laplace-Beltrami Operator and Heat Kernel Surface Multivariate Tensor-Based Morphometry Teichmuller Shape Space Descriptors Brain Surface Registration Brain Surface Conformal Parameterization Genetic Influence of APOE Genotype Premature Neonates ADNI Study Events and News TPAMI! We Made It! Jie Shi, Yalin Wang Accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence This work studies the Wasserstein space and proposes a novel framework to compute the Wasserstein distance between general topological surfaces by integrating hyperbolic Ricci flow, hyperbolic harmonic map, and hyperbolic power Voronoi diagram View Liqun Kuang's HBM Paper Got Accepted, Congratulation! Liqun Kuang, Xie Han, Kewei Chen, Richard J. Caselli, Eric M. Reiman, Yalin Wang We propose a threshold-free feature by integrating a prior persistent homology-based topological feature (the zeroth Betti number) and a newly defined connected component aggregation cost feature to model brain networks over all possible scales. We show that the View Liang Mi's ECCV Paper Got Accepted, Congratulation! A new clustering method which solves the k-means clustering problem with variational optimal transportation. It leverages power Voronoi diagram to aggregate empirical observations into a fixed number of Voronoi cells while maintaining the minimum transportation cost and preliminary results have shown its applications in domain adaptation, View More 699 S Mill AveTempe, AZ 85281 ylwang@asu.edu 4809656871 2019 Geometry Systems Laboratory Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. 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Before joining ASU, he was a key investigator of Center for Computational Biology at University of California, Los Angeles. Between 2004 and 2008, he was a cofounder and the CTO of Geometric Informatics, Inc., a NIST Advanced Technology Program Award recipient. He has published over 80 peer-reviewed journal and conference papers. yalin.wang@asu.edu 480-965-6871 http://gsl.lab.asu.edu Education Ph.D., Electrical Engineering,University of Washington, 2002 M.S., Computer Science,Tsinghua University, China, 1996 B.S., Computer Science,Tsinghua University, China, 1994 Research interests Computer vision, medical imaging, computer graphics, geometric modeling, statistical pattern recognition Honors and awards Best visualization software tool in software competition atUCLA Center for Computational Biology, Automated Brain Sulcal Detection Tool& Conformal Spherical Analysis Tool, 2006 Key activities Co-organizer of Mini-Symposium Mathematics for Brain Mapping in Society of Industrial and Applied Mathematics (SIAM) Annual Meeting, Boston, MA, July 2006 June 13, 2017 CIDSE CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4345.txt b/src/data/compiled_bios/4345.txt new file mode 100644 index 0000000000..7d6676e215 --- /dev/null +++ b/src/data/compiled_bios/4345.txt @@ -0,0 +1 @@ +Carole-Jean Wu Carole-Jean Wu is an Assistant Professor of Computer Science and Engineering in the School of Computing, Informatics, and Decision Systems Engineering in Arizona State University. She also holds an affiliated faculty appointment in EECE at ASU. Wus research focuses on designs for chip-multiprocessors and heterogeneous computing systems, energy-efficient smartphone architecture, and architectural energy harvesting techniques for modern computing nodes. Wu has worked at Intel, IBM, and Google, and is the recipients of the 2014 Best of Computer Architecture Letter Award, the 2013 Bisgrove Early Career Award (Science Foundation of Arizona) and the 2011-12 Intel Ph.D. Fellowship Award. She holds Ph.D. and M.A. degrees in Electrical Engineering from Princeton University and a B.S. degree in Electrical and Computer Engineering from Cornell University. carole-jean.wu@asu.edu 480-965-1494 Centerpoint 203-09 http://faculty.engineering.asu.edu/carolewu Education Ph.D., Princeton University, 2012 M.A., Princeton University, 2008 B.S., Cornell University, 2006 Research Interests Energy-efficient heterogeneous architecture, energy harvesting for emerging computing devices, performance characterization, analysis and prediction, high-performance and power-efficient LLC designs Honors and Awards IEEE Best of Computer Architecture Letter Award, 2014 Bisgrove Early Career Scholar, Science Foundation of Arizona 2013-15 Intel Ph.D. Graduate Fellow, 2011-12 Excellence in Leadership Award, Princeton 2009 Key Activities Technical PCs for ACM/IEEE International Symposiums on Computer Architecture (ISCA), Microarchitecture (MICRO) and High Performance Computer Architecture (HPCA), IEEE International Symposium on Workload Characterization (IISWC), IEEE International Parallel and Distributed Processing Symposium (IPDPS), ACM International Conference on Computing Frontier (CF) Workshop/Tutorial chair for HPCA-2016 Finance chair for IISWC-2014 Student travel grant chair for ISPASS-2014 Publicity and local arrangement chair for NOCS-2013 January 26, 2017 CIDSE Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Wu, Carole Home Wu, Carole-Jean Wu, Carole January 27, 2017 CIDSE CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU Menu Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Graduate Health Solutions Honors Journalism Law Nursing and Health Innovation Public Service and Community Solutions Sustainability University College New: Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Thunderbird Skysong Research Park Washington D.C. China Directory Search Search Engineering ASU Search Engineering ASU Carole-Jean Wu School of Computing, Informatics, and Decision Systems Engineering Menu Skip to content Home Research Projects & Publication Teaching Work Outreach Activities Professional Activities News Associate Professor Computer Science and Engineering School of Computing, Informatics, and Decision Systems Engineering Graduate Faculty of School of Electrical, Computer and Energy Engineering Honors Faculty, Arizona State University Education Ph.D., Princeton University M.A., Princeton University B.S., Cornell University Research Interests Software and system stack design and optimization for domain-specific workloads High-performance and energy-efficient heterogeneous architecture Performance quality modeling and energy efficiency optimization for mobile Energy harvesting for emerging computing devices Energy management for portable electronics Temperature-aware computing Advanced processor and system coolingdesigns and management Performance characterization, analysis and prediction High-performance and power-efficient memorydesigns Biosketch Carole-Jean Wu is an Associate Professor of Computer Science and Engineering in Arizona State University. She holds a Research Scientist position with Facebooks AI Infrastructure. Before joining ASU, Prof. Wu held a number of industrial internship positions with Intel, IBM, and Google. She is a senior member of both ACM and IEEE. Prof. Wu works in the area of Computer and System Architectures. In particular, her research interests include high-performance and energy-efficient computer architecture through hardware heterogeneity, energy harvesting techniques for emerging computing devices, temperature and energy management for portable electronics, performance characterization, analysis and prediction, and memory subsystem designs. More recently, her research has pivoted into designing systems for machine learning. She is the recipient of the 2018 IEEE ITHERM Best Paper Award, the 2017 NSF CAREER Award, the 2017 IEEE Young Engineer of the Year Award, the 2014 IEEE Best of Computer Architecture Letter Award, the 2013 Science Foundation Arizona Bisgrove Early Career Scholarship, and the 2011-12 Intel Ph.D. Fellowship. Her research has been supported by both industry sources and the National Science Foundation. She currently serves on the Steering Committee of the IEEE International Symposium on Performance Analysis of Systems and Software and is the Program Chair for the 2018 IEEE International Symposium on Workload Characterization. She is also co-chairing the MLPerf Edge Inference WG. She served onthe Executive Committee of the IEEE Technical Committee on Computer Architecture (TCCA) 2017-18. Prof. Wu received her M.A. and Ph.D. degrees in Electrical Engineering from Princeton University. She completed a B.Sc. degree in Electrical and Computer Engineering from Cornell University. Selected Publications C.-J. Wu et al., Machine Learning at Facebook: Understanding Inference at the Edge, HPCA-2019 . A. Arunkumar, E. Bolotin, D. Nellans, and C.-J. Wu, Understanding the Future of Energy Efficiency in Multi-Module GPUs, HPCA-2019 . A.Arunkumar, S.-Y. Lee, V. Soundararajan, and C.-J. Wu, LATTE-CC: Latency Tolerance Aware Adaptive Cache Compression Management for Energy Efficient GPUs, HPCA-2018 . A. Arunkumar et al., MCM-GPU: Multi-Chip-Module GPUs for Continued Performance Scalability, ISCA-2017 . B. Gaudette, C.-J. Wu, and S. Vrudhula, Improving Smartphone/Mobile User Experience by Balancing Performance and Energy with Probabilistic QoS Guarantee, HPCA-2016 . S.-Y. Lee, A. Arunkumar, and C.-J. Wu, CAWA: Coordinated Warp Scheduling and Cache Prioritization for Critical Warp Acceleration for GPGPU Workloads, ISCA-2015 . S.-Y. Lee and C.-J. Wu, CAWS: Criticality-Aware Warp Scheduling for GPGPU Workloads, PACT-2014 . C.-J. Wu, A. Jaleel, M. Martonosi, S. Steely Jr., and J. Emer, PACMan: Prefetch-Aware Cache Management for High Performance Caching, MICRO-2011 . C.-J. Wu, A. Jaleel, W. Hasenplaugh, M. Martonosi, S. Steely Jr., and J. Emer, SHiP: Signature-Based Hit Predictor for High Performance Caching, MICRO-2011 . Full List of Publications (in Chronological Order or by Topics ) Curriculum Vitae Curriculum Vitae (Updated on November 15, 2018) MyStudents Jhe-Yu Liou (PhD candidate; 2015 present) Srinath Dasari (PhDcandidate; 2016 present) Akhil Arunkumar (PhD 2018)[First employment: Samsung Austin R&D Center] [Memory Subsystem Optimization Techniques for Modern High-Performance General-Purpose Processors ] Viraj Wadhwa (High school intern from BASIS Chandler Primary, 2017-18. Now an undergraduate student at UT-Auston) [Improving Image Recognition with Tensor Flow API for Autonomous Driving] TJ Smith (Research Experience for Undergraduates (REU) from Princeton EE; 2017) Katherine Hann (High school intern from Xavier College Preparatory High School, 2017. Now an undergraduate student at University of Pennsylvania) [Designing A Paired Robotic Car Indoor Navigation and Tracking System] Rashmi Athavale (High school intern from Hamilton High School, 2017. Now an undergraduate student at Georgia Tech) [Designing A Paired Robotic Car Indoor Navigation and Tracking System] Benjamin Gaudette (PhD 2017; co-advised with Prof. Sarma Vrudhula) [First employment: Benchmark Electronics] [An Intelligent Framework for Energy-aware Mobile Computing Subject to Stochastic System Dynamics] Shin-Ying Lee (PhD 2017) [First employment: Samsung Austin R&D Center] [ Intelligent Scheduling and Memory Management Techniques For Modern GPU Architectures ] Received the Outstanding Computer Engineering PhD Graduate Student Award Kody Stribrny (BS 2017;co-advised with Prof. Sarma Vrudhula) [First employment: Amazon] [Honors Thesis: Mobile Waterway Monitor ] Davesh Shingari (MS 2016) [First employment: Marvell] [ Memory Interference Characterization and Mitigation for Heterogeneous Smartphones ] Soochan Lee (PhD 2015; co-advised with Prof. Patrick E. Phelan) [First employment: LG Electronics][ A Study of Latent Heat of Vaporization in Aqueous Nanofluids ] Ryan Brazens (BS 2014)[First employment: Intel] Dhinakaran Pandiyan (MS2014) [First employment: Intel] [ Data Movement Energy Characterization of Emerging Smartphone Workloads for Mobile Platforms ] Received the Outstanding Computer Engineering MS Graduate Student Award Amrit Panda (PhD 2014; co-advisedwith Prof. Karam S. Chatha) [First employment: Qualcomm Research] [ StreamWorks: An Energy-efficient Embedded Co-processor for Stream Computing ] Post-doctoral Researcher Ying-Ju Yu (2016-17) [First employment: Intel] Note to New Students If you are a prospective student, please read this note before contacting me about graduate school. I am a faculty member in Computer Science and Engineering in the School of Computing, Informatics, and Decision Systems Engineering of Arizona State University. The department offers graduate degrees in Computer Science as well as Computer Engineering. Therefore, if you are interested in ASU, I encourage you to apply to the degree major that best suits your background and interests. If you are a student at ASU and are interested in my research work, I encourage you to take my courses (Computer Architecture and/or Advanced Computer Architecture) and perform well in class. In general, I am happy to talk to students who show a sincere interest in understanding my research before expressing a generic interest in working with me. If you are considering to apply forPhD programs, here is the document Applying to Ph.D. Programs in Computer Science written by Mor Harchol-Balter. Reading her document would be very instructive. I am also happy to discuss about graduate school opportunities with students who consider this path. Search for: Recent Posts Positions for Research Assistants and Postdoctoral Researchers Available Please join us at the end-of-the-summer talk for Designing A Paired Robotic Car Indoor Navigation and Tracking System Shin-Ying successfully defended his PhD dissertation Intelligent Scheduling and Memory Management Techniques for Modern GPU Architectures Akhils ISCA talk on MCM-GPU: Multi-Chip-Module GPUs for Continued Performance Scalability Congratulations to Kody Stribrny! Archives July 2017 April 2017 November 2016 October 2016 August 2016 June 2016 March 2016 October 2015 July 2015 June 2015 April 2015 March 2015 August 2014 July 2014 May 2014 April 2014 March 2014 October 2013 April 2013 December 2012 June 2012 May 2012 Categories announcements news Uncategorized Meta Log in Entries RSS Comments RSS WordPress.org Proudly powered by WordPress Copyright & Trademark Accessibility Privacy jobs@asu Emergency Contact ASU contact engineering Ira A. Fulton Schools of Engineering Arizona State University | P.O. Box 9309 | Tempe, AZ 85287-9309 Brickyard 6th Floor | link to map Engineering Administration: 480-965-1730 Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Carole-Jean Wu Home Directory and Research Directory Faculty Wu, Carole-Jean Carole-Jean Wu is an Assistant Professor of Computer Science and Engineering in the School of Computing, Informatics, and Decision Systems Engineering in Arizona State University. She also holds an affiliated faculty appointment in EECE at ASU. Wus research focuses on designs for chip-multiprocessors and heterogeneous computing systems, energy-efficient smartphone architecture, and architectural energy harvesting techniques for modern computing nodes. Wu has worked at Intel, IBM, and Google, and is the recipients of the 2014 Best of Computer Architecture Letter Award, the 2013 Bisgrove Early Career Award (Science Foundation of Arizona) and the 2011-12 Intel Ph.D. Fellowship Award. She holds Ph.D. and M.A. degrees in Electrical Engineering from Princeton University and a B.S. degree in Electrical and Computer Engineering from Cornell University. carole-jean.wu@asu.edu 480-965-1494 Centerpoint 203-09 http://faculty.engineering.asu.edu/carolewu Education Ph.D., Princeton University, 2012 M.A., Princeton University, 2008 B.S., Cornell University, 2006 Research Interests Energy-efficient heterogeneous architecture, energy harvesting for emerging computing devices, performance characterization, analysis and prediction, high-performance and power-efficient LLC designs Honors and Awards IEEE Best of Computer Architecture Letter Award, 2014 Bisgrove Early Career Scholar, Science Foundation of Arizona 2013-15 Intel Ph.D. Graduate Fellow, 2011-12 Excellence in Leadership Award, Princeton 2009 Key Activities Technical PCs for ACM/IEEE International Symposiums on Computer Architecture (ISCA), Microarchitecture (MICRO) and High Performance Computer Architecture (HPCA), IEEE International Symposium on Workload Characterization (IISWC), IEEE International Parallel and Distributed Processing Symposium (IPDPS), ACM International Conference on Computing Frontier (CF) Workshop/Tutorial chair for HPCA-2016 Finance chair for IISWC-2014 Student travel grant chair for ISPASS-2014 Publicity and local arrangement chair for NOCS-2013 January 26, 2017 CIDSE CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4346.txt b/src/data/compiled_bios/4346.txt new file mode 100644 index 0000000000..764d3d1c93 --- /dev/null +++ b/src/data/compiled_bios/4346.txt @@ -0,0 +1 @@ +Teresa Wu Teresa Wu is a Professor of Industrial Engineering in the School of Computing, Informatics, and Decision Systems Engineering at Arizona State University. She received a BS and a MS in Mechanical and Automation Engineering from Beihang University, P. R. China and a Ph.D. in Industrial Engineering from University of Iowa. Dr. Wu is also appointed as an associate professor of Radiology at Mayo Clinic Arizona. She currently serves as Editor-in-Chief of IIE Transactions on Healthcare Systems Engineering. Dr. Wu has co-authored over 80 journal publications focusing on the application of informatics and distributed decision methods to energy systems, medical decisions and product design. Her awards include an NSF CAREER, AFOSR Summer Faculty Fellow, ASU Tenure and Promotion Exemplar and ASU Fulton Exemplar. teresa.wu@asu.edu 480-965-4157 BYENG 308 faculty.engineering.asu.edu/twu Education Ph.D., Industrial Engineering, University of Iowa, 2001 M.S., Mechanical and Automation Engineering, Beihang University, 1995 B.S., Mechanical and Automation Engineering, Beihang University, 1992 Research interests Health informatics, swarm intelligence algorithms for distributed decision support, information systems Key activities Councilor of Institute of Complex Medical Engineering (2013 present) Associate Editor: Neuroscience and Biomedical Engineering (2013 present) Executive Editor: Journal of Health and Medical Informatics (2011 present) Editorial Board: International Journal of Production Research (2007 present) Editorial Board: Computer and Standard Interface (2006 present) Editorial Board: International Journal of Electronic Business Management (2005 present) Editorial Board: IEEE Transactions on Engineering Management (2009 2012) January 3, 2018 CIDSE Menu Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Graduate Health Solutions Honors Journalism Law Nursing and Health Innovation Public Service and Community Solutions Sustainability University College New: Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Thunderbird Skysong Research Park Washington D.C. China Directory Search Search Engineering ASU Search Engineering ASU Dr. Teresa Wus Home Menu Skip to content Home Publications Teaching Services Students Research Projects Home Dr. Teresa Wu is a professor of Industrial Engineering at Arizona State University, which she joined in 2001. She is also appointed as a professor of radiology at College of Medicine, Mayo Clinic. She is the founding co-director of ASU-Mayo Center for Innovative Imaging . Her research interests include health informatics, swarm intelligent algorithms for distributed decisions. Her research has been sponsored by NSF, DoD, NIH, DoED and industries including Intel, IBM, Mayo Clinic. Dr. Wu works closely with industry, has been participating several industrial projects for Intel, IBM and Mayo Clinic.Her research collaborators in health informatics are from Mayo Clinic, Banner Alzheimer Institute, Duke CIVM Center, University of Nebraska Medical Center. Academic Experience Co-Director, ASU-Mayo Center for Innovative Imaging, 2018 present Associate Director,Arizona State University, School of Computing, Informatics, Decision Systems Engineering, 2017-2018 Professor, Arizona State University, School of Computing, Informatics, Decision Systems Engineering, 2014 present Associate Professor, Arizona State University, School of Computing, Informatics, Decision Systems Engineering, 2006 2014 Professor, Mayo Clinic, Department of Radiology, 2018 present Associate Professor, Mayo Clinic, Department of Radiology, 2011 2018 Visiting Professor, IBM China Research Lab (CRL), June, 2008 Dec., 2008 Visiting Professor, Tsinghua University, June, 2008 Dec., 2008 Assistant Professor, Arizona State University, Department of Industrial Engineering, 2001 2006 Education Ph.D., Dept. of Industrial Engineering, University of Iowa. M.S., Dept. of Mechanical and Automation Engineering, BeiHang University, Beijing, China. B.S., Dept. of Mechanical and Automation Engineering, BeiHang, Beijing, China. Honors and Awards: NSF Faculty Early Development (CAREER) Award, 2003 ASU Tenure and Promotion Exemplar, 2006 AFOSR Summer Faculty Fellow, 2010, 2011 Ira Fulton Schools of Engineering Exemplar, 2016 ASU PLuS Fellow on Global Health, 2016 School of Computing, Informatics, Decision Systems Engineering Best Researcher Senior, 2017 IBM 2017 Faculty Award Contact Teresa Wu, Ph.D. Professor School of Computing, Informatics, and Decision Systems Engineering Arizona State University PO Box 875906 699 S. Mill Ave. Tempe AZ 85287-5906 USA Copyright & Trademark Accessibility Privacy jobs@asu Emergency Contact ASU contact engineering Ira A. Fulton Schools of Engineering Arizona State University | P.O. Box 9309 | Tempe, AZ 85287-9309 Brickyard 6th Floor | link to map Engineering Administration: 480-965-1730 Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Teresa Wu Home Directory and Research Directory Faculty Wu, Teresa Teresa Wu is a Professor of Industrial Engineering in the School of Computing, Informatics, and Decision Systems Engineering at Arizona State University. She received a BS and a MS in Mechanical and Automation Engineering from Beihang University, P. R. China and a Ph.D. in Industrial Engineering from University of Iowa. Dr. Wu is also appointed as an associate professor of Radiology at Mayo Clinic Arizona. She currently serves as Editor-in-Chief of IIE Transactions on Healthcare Systems Engineering . Dr. Wu has co-authored over 80 journal publications focusing on the application of informatics and distributed decision methods to energy systems, medical decisions and product design. Her awards include an NSF CAREER, AFOSR Summer Faculty Fellow, ASU Tenure and Promotion Exemplar and ASU Fulton Exemplar. teresa.wu@asu.edu 480-965-4157 BYENG 308 faculty.engineering.asu.edu/twu Education Ph.D., Industrial Engineering, University of Iowa, 2001 M.S., Mechanical and Automation Engineering, Beihang University, 1995 B.S., Mechanical and Automation Engineering, Beihang University, 1992 Research interests Health informatics, swarm intelligence algorithms for distributed decision support, information systems Key activities Councilor of Institute of Complex Medical Engineering (2013 present) Associate Editor: Neuroscience and Biomedical Engineering (2013 present) Executive Editor: Journal of Health and Medical Informatics (2011 present) Editorial Board: International Journal of Production Research (2007 present) Editorial Board: Computer and Standard Interface (2006 present) Editorial Board: International Journal of Electronic Business Management (2005 present) Editorial Board: IEEE Transactions on Engineering Management (2009 2012) January 3, 2018 CIDSE CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4347.txt b/src/data/compiled_bios/4347.txt new file mode 100644 index 0000000000..e482c155c0 --- /dev/null +++ b/src/data/compiled_bios/4347.txt @@ -0,0 +1 @@ +Xue, Guoliang Professor Guoliang Larry Xue joined ASU in 2001. He received the PhD degree in Computer Science from the University of Minnesota in 1991. Prior to joining ASU, he was an associate professor of Computer Science at the University of Vermont (UVM). Prior to joining UVM, he worked as a postdoctoral research fellow at the Army High Performance Computing Research Center. His research interests include survivability and security in mobile social networks and smart grid, and optimization and economic approaches to network applications. He has authored over 240 refereed research papers in these areas, many of which appeared in top-tier conferences such as ICNP, INFOCOM, MOBICOM, MOBIHOC, and NDSS. His research has been continuously supported by NSF and ARO. He received several best paper awards and served as general/TPC chair of many major conferences. He is an Associate Editor of IEEE/ACM Transactions on Networking and Vice Chair of the Steering Committee of IEEE INFOCOM. He is an IEEE Fellow. xue@asu.edu 480-965-6218 BYENG 442 http://optimization.asu.edu/ Education Ph.D., Computer Science,University of Minnesota Twin Cities, 1991 M.S., Operations Research,Qufu Normal University Qufu, China, 1984 B.S., Mathematics,Qufu Normal University Qufu, China, 1981 Research interests Survivability and security in smart grid, privacy and security in mobile social networks, economic approaches to network applications. Honors and awards IEEE Fellow Keynote Speaker at IEEE LCN2011 and IEEE ICNC2013 Key activities Vice Chair of the Steering Committee of IEEE INFOCOM TPC co-Chair of IEEE INFOCOM2010 General co-Chair of IEEE CNS2013 Associate Editor of IEEE/ACM Transactions on Networking March 7, 2014 CIDSE This page has been accessed times since 08/16/2001. Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Xue, Guoliang Home Directory and Research Directory Faculty Xue, Guoliang Professor Guoliang Larry Xue joined ASU in 2001. He received the PhD degree in Computer Science from the University of Minnesota in 1991. Prior to joining ASU, he was an associate professor of Computer Science at the University of Vermont (UVM). Prior to joining UVM, he worked as a postdoctoral research fellow at the Army High Performance Computing Research Center. His research interests include survivability and security in mobile social networks and smart grid, and optimization and economic approaches to network applications. He has authored over 240 refereed research papers in these areas, many of which appeared in top-tier conferences such as ICNP, INFOCOM, MOBICOM, MOBIHOC, and NDSS. His research has been continuously supported by NSF and ARO. He received several best paper awards and served as general/TPC chair of many major conferences. He is an Associate Editor of IEEE/ACM Transactions on Networking and Vice Chair of the Steering Committee of IEEE INFOCOM. He is an IEEE Fellow. xue@asu.edu 480-965-6218 BYENG 442 http://optimization.asu.edu/ Education Ph.D., Computer Science,University of Minnesota Twin Cities, 1991 M.S., Operations Research,Qufu Normal University Qufu, China, 1984 B.S., Mathematics,Qufu Normal University Qufu, China, 1981 Research interests Survivability and security in smart grid, privacy and security in mobile social networks, economic approaches to network applications. Honors and awards IEEE Fellow Keynote Speaker at IEEE LCN2011 and IEEE ICNC2013 Key activities Vice Chair of the Steering Committee of IEEE INFOCOM TPC co-Chair of IEEE INFOCOM2010 General co-Chair of IEEE CNS2013 Associate Editor of IEEE/ACM Transactions on Networking March 7, 2014 CIDSE CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4348.txt b/src/data/compiled_bios/4348.txt new file mode 100644 index 0000000000..5577b3d336 --- /dev/null +++ b/src/data/compiled_bios/4348.txt @@ -0,0 +1 @@ +Hao Yan Hao Yan is an Assistant Professor in School of Computing, Informatics, and Decision Systems Engineering. HaoYan@asu.edu Education B.S. degree in Phycis, Peking University, 2011 Double major/B.S. in Economics, Peking University, 2011 M.S. in Statistics, Georgia Institute of technology, 2015 M.S. in Computational Science and Engineering, Georgia Institute of technology, 2016 Ph.D in Industrial & Systems Engineering, Georgia Institute of technology, 2017 Research interests Machine learning, data analytics for images, profiles and time series data for change detection and localization, spatial-temporal analysis. Honors and awards IEEE Transactions on Automation Science and Engineering Best Paper Award (2018) for our paper Generalized Wavelet Shrinkage of Inline Raman Spectroscopy for Quality Monitoring of Continuous Manufacturing of Carbon Nanotube Buckypaper Best Student Paper Award Finalist in Quality, Statistics, and ReliabilitySection of INFORMS (2016), for the paper AKMM: Adaptive Sensing for Online Anomaly Detection Best Paper Award Winner in the Quality, Statistics, and Reliability Refereed Track of INFORMS (2015) for the paper Real-time Monitoring and Diagnosis of High-Dimensional Data Streams viaSpatio-Temporal Smooth Sparse Decomposition . Best Student Paper Award Winner in the Industrial and Systems Endgineering Research Conference (ISERC) in the Quality Control and Reliability Engineering (QCRE) division (2014), for the paper Monitoring and Diagnosticsof Streaming Images Via Recursive Smooth-Sparse Decomposition Best Student Paper Award Winner in the Data Mining Section of INFORMS (2014), for the paper Image Defect Detection viaSmooth Sparse Decomposition Key activities Member-Institute for Operations Research and the Management Sciences (INFORMS) Member- Institute of Industrial Engineers (IIE) October 5, 2018 Erik Wirtanen Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Hao Yan Home Directory and Research Directory Faculty Yan, Hao Hao Yan is an Assistant Professor in School of Computing, Informatics, and Decision Systems Engineering. HaoYan@asu.edu Education B.S. degree in Phycis, Peking University, 2011 Double major/B.S. in Economics, Peking University, 2011 M.S. in Statistics, Georgia Institute of technology, 2015 M.S. in Computational Science and Engineering, Georgia Institute of technology, 2016 Ph.D in Industrial & Systems Engineering, Georgia Institute of technology, 2017 Research interests Machine learning, data analytics for images, profiles and time series data for change detection and localization, spatial-temporal analysis. Honors and awards IEEE Transactions on Automation Science and Engineering Best Paper Award (2018) for our paper Generalized Wavelet Shrinkage of Inline Raman Spectroscopy for Quality Monitoring of Continuous Manufacturing of Carbon Nanotube Buckypaper Best Student Paper Award Finalist in Quality, Statistics, and ReliabilitySection of INFORMS (2016), for the paper AKMM: Adaptive Sensing for Online Anomaly Detection Best Paper Award Winner in the Quality, Statistics, and Reliability Refereed Track of INFORMS (2015) for the paper Real-time Monitoring and Diagnosis of High-Dimensional Data Streams viaSpatio-Temporal Smooth Sparse Decomposition . Best Student Paper Award Winner in the Industrial and Systems Endgineering Research Conference (ISERC) in the Quality Control and Reliability Engineering (QCRE) division (2014), for the paper Monitoring and Diagnosticsof Streaming Images Via Recursive Smooth-Sparse Decomposition Best Student Paper Award Winner in the Data Mining Section of INFORMS (2014), for the paper Image Defect Detection viaSmooth Sparse Decomposition Key activities Member-Institute for Operations Research and the Management Sciences (INFORMS) Member- Institute of Industrial Engineers (IIE) October 5, 2018 Erik Wirtanen CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4349.txt b/src/data/compiled_bios/4349.txt new file mode 100644 index 0000000000..5244fa7eef --- /dev/null +++ b/src/data/compiled_bios/4349.txt @@ -0,0 +1 @@ +Yezhou Yang Yezhou Yang, an assistant professor in computer science and engineering, earned his Ph.D. in computer science in 2015 from the University of Maryland at College Park. His dissertation research on computational tools and the underlying mechanisms of robotic manipulation actions has been featured in MIT Technology Review, IEEE Spectrum, Time magazine and the Washington Post. Yangs research interests also include computer vision, autonomous intelligent robots and artificial intelligence. yz.yang@asu.edu 480-727-0741 Education Ph.D. Computer Science, University of Maryland, College Park, 2015 M.S. Computer Science, University of Maryland, College Park, 2013 B.E. Computer Science and Engineering, Zhejiang University, China, 2010 Research interests Cognitive robotics, computer vision, robot perception, manipulation actions, vision and language Honors and awards Qualcomm Innovation Fellowship 2011 UMD CS Department Deans Fellowship Award and the Microsoft Research Asia Young Researcher Scholarship 2009 Key activities Program Chair for Workshop on Semantic Policy and Action Representations (SPAR) for Autonomous Robots at IROS 2015 Program co-chair for Workshop on Deep Learning for Autonomous Robots (DLAR) at RSS 2016 Program Committee: IJCAI 2016, ICME 2016, ICME 2014, PSIVT 2013 December 11, 2017 Monique Clement Toggle navigation Program Program Brochure Online Schedule Proceedings Conference At-a-glance Human-Aware AI Theme Early Career Spotlights Invited Panels Invited Talks Workshops Tutorials Demos Doctoral Consortium Accepted Papers Sister Conference Best Papers Special Events Competitions DSW at IJCAI Lunch with a Fellow Social Events and Press Conference Attending Registration Media Advisory Conference Venue Conference Share Visa Information About NYC AI in NYC Colocated events Awards Students Doctoral consortium Travel grants Call for volunteers Lunch with a Fellow Calls Main track AIW special track Workshops Tutorials Awards Doctoral consortium Demos Call for volunteers Committees Conference Committee Track Chairs Program Committee Local Arrangement Advisory Sponsors and exhibits Industry day 25th International Joint Conference on Artificial Intelligence New York City 9th-15th July, 2016 Welcome to the 25th International Joint Conference on Artificial Intelligence IJCAI-16! We are delighted to invite you to come to New York, one of the most exciting cities of the world, and take part in IJCAI, the leading conference on the thrilling field of Artificial Intelligence. AI today has a tremendous impact. It is in all the media and makes a real difference. At IJCAI-16, you will have the opportunity to meet some of the world's leading AI researchers, to learn first-hand about their newest research results and developments, and to catch up with current AI trends in science and industry. And, of course, IJCAI-16 will be the perfect forum for presenting your own achievements, both to specialists in your field, and to the AI world in general. In addition to the presentation of 551 technical papers (selected from the largest ever pool of submissions to IJCAI), the conference will include tutorials , workshops , demonstrations , invited talks , sister conferences best paper talks and early career spotlight talks . On Friday afternoon, IJCAI will have an AI Festival featuring talks from IJCAI award winners (this session will be open to the public). Friday will also feature an industry day . The theme of this year's conference is Human-Aware Artificial Intelligence--we will have technical paper sessions, invited talks and panels organized around this theme, and focusing on the many benefits of AI systems working in collaboration with humans. Online schedule The conference (including workshops and tutorials) will be held at the Hilton in midtown Manhattan. The Hilton is just a ten-minute walk from Central Park, where the conference banquet will be held, and half a block from the world-famous Museum of Modern Art, where we will hold the opening reception. Times Square, the Broadway theater district, the Empire State Building and many other famous tourist attractions are all in walking distance --- an extra reason to join us and to add a couple of days to your visit. So, mark the dates on your calendar and start thinking about which papers to submit and which systems to demonstrate. If you work for a company consider taking advantage of the exhibition opportunities IJCAI-16 will provide. And if you are a potential sponsor please check our sponsorship brochure. The visibility you will get by sponsoring IJCAI-16 will be hard to match. Looking forward to meeting you in New York! The IJCAI-16 Conference Committee. Proceedings are online! Registration is now open. Program Brochure is now available. Program Chair Rao Kambhampati reports on the developments in preparing for the conference in his blog here . Here is the word cloud from the titles of the papers accepted to the IJCAI-16 technical program. Call for award nominations here . Call for papers here . Special track here . To download the IJCAI 2016 poster, please click here . The IJCAI Industry Day (7/15) is a networking event for industry executives, entrepreneurs and researchers. For more information go to Industry day . There has been a schedule change for the Industry Day. Please, consult Industry day changes for the new, updated version AIJ-IJCAI TRAVEL GRANT REIMBURSEMENT INSTRUCTIONS IJCAI-16 Travel Grants Program Important dates Pre-conference: Abstract deadline: 1/27 Paper deadline: 2/2 Rebuttal period: 3/10-11 Notification: 4/4 Camera Ready: 4/20 Conference: Saturday 7/9 - Monday 7/11 Workshops and Tutorials Monday 7/11 Reception (Museum of Modern Art) Tuesday 7/12 - Friday 7/15 Technical Program Wednesday 7/13 Banquet (Central Park Zoo). Organizing Institutions IJCAI AAAI Sponsors Platinum Level Golden Level Bronze Level Donations Exhibitors Tweets by @ijcai16 Program at-a-glance International Joint Conferences on Artificial Intelligence Travel Advice Venue Sponsors General Information Home Important Dates Contacts Contributing For Presenters For Authors PSIVT 2015 Sponsors Call for Sponsors Program Conference Program Keynote Speakers Registration Workshops General Information PAESNPR13 Workshop GPID Workshop QACIVA Workshop GCCV2013 Workshop Tutorials General Information Organization Organizing Committee Steering Commitee Area Chairs Program Committee Local information Conference Venue Traveling Advice Accommodation Advice Shuttle to/from Venues Visa Information Endorsed by: 6th Pacific-Rim Symposium on Image and Video Technology October 28th - November 1st, 2013. Guanajuato, Mxico. The sixth Pacific-Rim Symposium on Image and Video Technology ( PSIVT 2013 ) has been held in Guanajuato, Mxico, from October 28th to November 1st, 2013. PSIVT provides a forum for presenting and exploring the newest research and development in image and video technology by discussing the possibilities and directions in this field, and a place where both academic research and industrial activities are presented and meet for mutual benefit. It invites researchers, artists, developers, educators, performers, and practitioners of image and video technology from the Pacific Rim and around the world. The PSIVT 2013 proceedings of the main conference and workshops will be published by Springer-Verlag as volumes 8333 and 8334 in the Lecture Notes in Computer Science collection. Selected and extended papers, such as the award winning papers, will be invited to be published in a Journal Publication to be announced soon. High-quality contributions from prospective authors were solicited in all aspects of image and video technology including, but not limited to: Imaging and Graphics Hardware and Visualization Image/Video Coding and Transmission Image/Video Processing and Analysis Image/Video Retrieval and Scene Understanding Applications of Image and Video Technology Biomedical Image Processing and Analysis Biometrics and Image Forensics Computational Photography and Arts Computer and Robot Vision Pattern Recognition Video Surveillance All papers were subject to a double-blind review process which was be carried out by at least three experienced researchers in the field, supervised by area chairs, also including a brief rebuttal at the end of the decision process. (As a guide: Previous issues of PSIVT all had an acceptance rate of about 40 percent.) Details on paper submission can be found in the authors page. The best IAPR-PSIVT paper prize was awarded to: "Wide-baseline Dense Feature Matching for Endoscopic Images" Puerto-Souza, Gustavo (University of Texas at Arlington) Mariottini, Gian-Luca (University of Texas at Arlington) The best student paper prize was awarded to: "Joint Dictionary and Classifier learning for Categorization of Images using a Max-margin Framework" Lbel, Hans (Pontificia U. Catlica de Chile) Soto, lvaro (Pontificia U. Catlica de Chile) Vidal, Ren (Johns Hopkins University) Mery, Domingo (Pontificia U. Catlica de Chile) News (28 Nov) - The next PSIVT conference will be held in Auckland, New Zealand in 2015. Set your agenda! (14 Oct) - We have 25 registration scholarships for professors from Guanajuato Undergraduate Level Institutions. To apply for these scholarships please send an e-mail to psivt2013@cimat.mx before October 23 stating your name, institution and motivation to attend the conference. (28 Sept) - Due to technical problems with the demo submission mail, deadline for the Demo session has been extended. New deadline is October 4th. (23 Sept) - Early bird registration has been extended to October, 2nd! (29 Aug) - Deadline for the Demo session has been extended! New deadline is September 27th. (20 Aug) - Deadline for the workshops on Quality assessment and control by image and video analysis (QACIVA) and Photographic Aesthetics and Non-Photorealistic Rendering (PAESNPR) have been extended to August 30th. Deadline for the workshop Geometric properties from incomplete data (GPID) has been extended to August 31st. (09 Aug) - Deadline for the workshop on Photographic Aesthetics and Non-Photorealistic Rendering has been extended! New deadline is on August 20th. (06 Aug) - A Facebook page of the conference has been launched. Please follow it to see the most recent conference happenings! (28 June) - Tutorial submission deadline has been extended! New deadline is August 16th . (28 June) - Submission site will stay open for updates until July 7th . (07 June) - Paper submission deadline has been extended! New (firm) deadline is June 29th . (15 May) - PSIVT2013's Workshops have been announced. (08 May) - Aeromxico announces a discount for PSIVT'2013 participants through its call centers and ticket offices. More information in our traveling information site . (03 May) - Submission site is now open. (18 Apr) - A special workshop on Geometric Computation for Computer Vision to celebrate the contibutions of Professor Kenichi Kanatani will take place during PSIVT on October 29th, 2013. More information can be found at the Workshop's web site . (28 Feb) - First call for demos is available to download. (26 Jan) - First call for papers is available to download. (26 Jan) - First call for workshops is available to download. (26 Jan) - First call for tutorials is available to download. Platinum Sponsors Gold Sponsors Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Yezhou Yang Home Directory and Research Directory Faculty Yang, Yezhou Yezhou Yang, an assistant professor in computer science and engineering, earned his Ph.D. in computer science in 2015 from the University of Maryland at College Park. His dissertation research on computational tools and the underlying mechanisms of robotic manipulation actions has been featured in MIT Technology Review , IEEE Spectrum , Time magazine and the Washington Post . Yangs research interests also include computer vision, autonomous intelligent robots and artificial intelligence. yz.yang@asu.edu 480-727-0741 Education Ph.D. Computer Science, University of Maryland, College Park, 2015 M.S. Computer Science, University of Maryland, College Park, 2013 B.E. Computer Science and Engineering, Zhejiang University, China, 2010 Research interests Cognitive robotics, computer vision, robot perception, manipulation actions, vision and language Honors and awards Qualcomm Innovation Fellowship 2011 UMD CS Department Deans Fellowship Award and the Microsoft Research Asia Young Researcher Scholarship 2009 Key activities Program Chair for Workshop on Semantic Policy and Action Representations (SPAR) for Autonomous Robots at IROS 2015 Program co-chair for Workshop on Deep Learning for Autonomous Robots (DLAR) at RSS 2016 Program Committee: IJCAI 2016 , ICME 2016 , ICME 2014 , PSIVT 2013 December 11, 2017 Monique Clement CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/435.txt b/src/data/compiled_bios/435.txt new file mode 100644 index 0000000000..7108ce5afb --- /dev/null +++ b/src/data/compiled_bios/435.txt @@ -0,0 +1 @@ +Dr. Kwoh Chee Keong, PBM PhD, DIC, MSc(ISE), Beng(EE), PGDIG, Senior Member, IEEE Senior Member IES Life Member ICAAS Member AMBIS Deputy Executive Director PaCE@NTU Centre for Professional and Continuing Education 60 Nanyang Drive, SBS-01s-50, Singapore 637551 T: +65 6904 2056 ( PaCE@NTU ) School of Computer Science and Engineering Block N4, Level 2, Section A, Room 29 Nanyang Avenue, Singapore 639798 T: +65 6790 6057 (SCSE- CoE ) F: +65 6792 6559 E: asckkwoh@ntu.edu.sg W : http://www.ntu.edu.sg/home/asckkwoh/ I think the nicest, most sincere compliments that I have received are those from my students and people I did not expect. Notes from Students and Friends HONORS AND AWARDS National Day Awards Public Service Medal (National Day Award) National Day Awards 2008, The Public Service Medal (PBM) http://www.pmo.gov.sg/NationalHonoursandAwards/Pingat+Bakti+Masyarakat+(The+Public+Service+Medal) .htm , conferred by the President of Singapore, Mr S R Nathan Ministry of Education Long Service Medal (National Day Award) 2016 Other Awards (NTU) Best Faculty Mentor Award from Temasek Foundation (TF) LEARN 2014 Best Faculty Mentor Award from Temasek Foundation (TF) LEARN 2013 OPPORTUNITY I am looking for a versatile , highly motivated Research Fellow/ Pos -doc PhD candidates. The successful candidates will build on the ongoing research directed and will help define and explore this exciting area of research. Applicants must have a strong background in Computer Science and/or closely related areas (e.g. Mathematics, Computer Science, Bioinformatics, Statistics and Physics) and excellent skills in both written and spoken English, as the working language of the Faculty is English. For PhD application, please visit the Graduate Studies by Research at NTU before writing. Please note that PhD program is a very intensive program and the applicant must have a strong interest, strong analytical mind, technically sound in the area of data mining, learning theory, algorithms and computer programming. You must be highly independent with good initiatives and aspire to publish in top-tier journals. If you are interested and suitable, Enquiries about these vacancies can be sent to asckkwoh@ntu.edu.sg (the deadlines are flexible) with your CV, your proposed research area with at least 3 references (either your own publications or papers that inspired you to do research). RESEARCH EXPERTISE My main interests lie in our desire to making sense of big heterogeneous data for real application in engineering, life science, and medical. Data Science (Bioinformatics) Research High throughput biological measurements and experiments in life science and healthcare have resulted in the explosion of data available from sequencing and micro-arrays, ChIP-Microarrays (ChIP-chip). This has led to the interdisciplinary science called Bioinformatics. Which use Data Science in solving biological and life science problems. Machine Learning and Statistical Inference Machine Learning and statistical modelling techniques that can learn from data to enables the making of the decision and simply a classification , this has application in almost every area. There are many approaches and each has its own merits. The following have been heavily used in my group: support vector machines, decision tree learning, artificial neural networks, Bayesian networks, genetic and mimetic algorithms. Example include application in supertype -specific HLA Class I binding peptides, protein-ligand binding affinity. Learning with Unlabeled Data In the context of machine learning, PU learning is a collection of semi-supervised techniques for training binary classifiers on positive (P) and unlabeled (U) examples. To improve performance, it is important to partition U into four sets, namely, reliable negative set RN, likely positive set LP, likely negative set LN, and weak negative set WN. Such an approach has been used to identifying disease genes from the human genome is an important but challenging task in biomedical research. Meta and Ensemble learning Meta-learning is where automatic learning algorithms are applied to meta-data about machine learning experiments. The main goal is to use meta-data to understand how automatic learning can become flexible in solving different kinds of learning problems and enrich the knowledge discovered. Coupled with ensemble methods that that integrates results of multiple predictive methods into one system, these approach has found to be instrumental in improving predictive performance. Application of this approach has been widely used in big data such as bioinformatics and medical informatics. An example includes multiple kernel learning for heterogeneous data fusion and s parse learning in genome-wide association study (GWAS ) , and drug-target interaction prediction. Ontology for Knowledge Representation Ontology is a formal representation of a set of concepts within a domain and the relationships between those concepts. There have been major initiatives in medical and bioinformatics to standardize the representation of terminology and relationship across diseases, species and databases. The controlled vocabulary of terms and description of product characteristics are the main outcome to improve annotation for representation of meta-concept that greatly enhances analysis. Specifically, it has been extensively applied in complex mining, inferring gene-disease-phenotype association. Computational Structural Biology This is where Computational Science and Engineering finds its applications in understanding the molecular structure of biological macromolecules. Dealing with computational models and simulations, the field makes use of high-performance computing to solve complex and expensive problems in biology. The result includes the acceleration of docking and its application in the understanding of influenza and other viruses. SOFTWARE CovalentDock Cloud: a web server for automated covalent docking Covalent binding is an important mechanism for many drugs to gain its function. We developed a computational algorithm to model this chemical event and extended it to a web server, the CovalentDock Cloud, to make it accessible directly online without any local installation and configuration. It provides a simple yet user-friendly web interface to perform covalent docking experiments and analysis online. Software for Accelerating Autodock Vina Quickvina : This project aims at accelerating Autodock Vina , a program for protein-ligand docking. The main idea is to skip some of the local searches which are not promising in finding a better solution. Quick Vina 2 is a fast and accurate molecular docking tool, attained at accurately accelerating AutoDock Vina . It was tested against 195 protein-ligand complexes that compose the core set of the 2014 release of the PDBbind using default exhaustiveness level of 8, QVina 2 successfully attained up to 20.49-fold acceleration over Vina. Software for Learning with Unlabeled Data 1. PUDI (2013) - a Positive- Unlabeled (PU) learning based method aiming to address the problem of disease gene identification Software for complexes 1. CACHET - Discovery of Protein Complexes with Core-Attachment Structures from TAP Data 2. COACH - COre-AttaCHment based Complex Mining Software for Computational Structural Biology 1. CovalentDock Cloud (2013) - This web server allows the researchers and scientists to perform protein-ligand covalent docking. 2. CovalentDock : Automated covalent docking with parameterized covalent linkage energy estimation and molecular geometry constrains 3. QuickVina : Accelerating AutoDock Vina Using Gradient-based Heuristics for Global Optimization MY GRANTS List of Research Grants Computational Virulence Model with Functional Information for Influenza Viruses Methodological Investigation for Automatic Detection of Primary Angle Closure Condition (PAC) and PAC induced Glaucoma Bioinformatics Algorithms for Detecting Genetic and Epigenetic Determinants of Meiotic Recombination Hotspots from Genomic Data Whole genome sequencing, single nucleotide polymorphisms, electron microscopy, Acinetobacter baumannii , lipopolysaccharide Collaborative Research Programme On Bioinformatics Algorithms And Tools Structural Analysis and Characterisation of Protein Complexes Genomic analysis and development of a new multilocus variable-number tandem-repeat analysis - a scheme for molecular epidemiological typing of Acinetobacter baumannii Core-Attachment Based Mining For Protein Complexes & Small molecule Interactions Characterization of novel extracellular proteins produced by a newly-isolated strain of Bacillus subtillis . Improved Design via Evolutionary Algorithms Protein binding hotspots are water-free? Analysis of Past DRG data for the study of LOS for better utilization of Hospital Resources Data Warehousing and Data Mining Analysis of Staphylococcus Aureus A novel approach for inter- to intra - network analysis of genetic diseases using high-throughput data Neural Systems modelling with functional MRI SCE incubator proposal for Evolutionary and Complex Systems Lab The Application of ultrasound-based augmented reality with the directional vacuum-assisted breast biopsy device in the treatment of breast cancer Distributed Diagnosis and Home Healthcare (D2H2) Development of a robotic semi-automated remote handling system for radioiodine dispensing Functional MR Time-Series Analysis Augmented Reality for Prosthesis Cup Placement Robotic Skull Based Surgery Cardiovascular and Respiratory Systems' Signal Simulation, Processing and Analysis for ICU, OR and Telemedicine Applications. Strategic research: Interventive augmented reality for medical applications. Surgeon Assistant Robot for a Selected urological disorder. MY GRADUATE STUDENTS Pan Hong DNA methylation biomarkers of personal disease risk (PhD, 2012) Luay Aswad - A molecular basis of the 5-gene breast tumour aggressiveness grading signature (AGS) and its network PhD, (2012 -) Han Xu - Constructing the Semantic Web for Biomedical Literature (PhD, 2011 - ) Ouyang Xuchang - Automated and Accelerated Covalent Docking and Covalent Virtual Screening (PhD, 2010) Thidathip Wongsurawat - Computational Analysis and Prediction of Specific Genomic Regions Forming R-loop Structure and Chromosomal Variations Associated with Cancer - (PhD, 2015) Zhang Zhou - Knowledge Discovery In Post Genome-Wide Association Study For Glaucoma (PhD, 2015) Su Tran To Chinh - Improving the Discrimination of Near-Native Complexes for Protein Rigid Docking by Implementing Interfacial Water into Protein Interfaces (PhD, 2015) Yang Peng - Computational Approaches for Disease Gene Identification (PhD, 2014) Wu Min - Mining Protein Complexes From Protein Interaction Data (PhD, 2012) Zhang Tianyou - Contact Network Based Framework For Infectious Disease Interventions (PhD, 2015) Stephanus Daniel Handoko - Constrained-Oriented Refinement-Efficacious Memetic Algorithms for Efficient Optimization of Computationally-Expensive Problems (PhD, 2014) Adrianto Wirawan - Whole-Genome Discovery Of Transcriptional Regulator Binding Sites (PhD, 2011) Zhang Guanglan- Computational Epitope-Driven Vaccine Design (PhD, 2008) Zheng Yun- Design Of Gene Expression Networks From Microarray Data (PhD, 2006) Zhao Ying- Efficient Model And Feature Selection For SVM In Biomedical Data Analysis ( M Eng , -2004) Zhao Jianhui - Human Animation from Motion Recognition, Analysis and Optimisation ( PhD, 2003) Chen Yintao - Image Processing For Ultrasound Guidance System In Breast Lump Operation (M Eng, 2002) Wang Yan - Image-Based Indexing And Retrieval Of Trademark Logos, (M Eng, 2001) Veena Mohan Bhajammanavar - Image Processing Of The Digital Mammogram For Segmentation And Characterization Of Microcalcifications , (M Eng, 2000) Misra Sabita - Time Series Analysis Of ECG For Detection Of Premature Ventricular Contraction (M Eng, 2000) Zou Qingsong - Object-Based Volume Visualisation For Medical Imaging (PhD, 2001) TEACHING Planned and lectured subjects in CZ4032 Data Analytics and Mining (2014,15): Data Mining is an analytic process designed to explore big data in search of consistent patterns and/or systematic relationships between variables, and then to validate the findings by applying the algorithms to new data. CE7411 Bioinformatics (2015): This course covers basic bioinformatics concepts, databases, tools and applications. Introduction: cell biology's central dogma, biological technologies for collecting and storing genomic sequence data; databases that store these data and strategies to extract information from them; Pairwise sequence alignment for assessment of similarity to infer homology; Fundamental of Scoring matrices to understand the assigned scores when performing alignment; The popular heuristic search tool - Basic Local Alignment Search Tool (BLAST) and advanced database searching; Multiple sequence alignment and phylogenetic trees to complete the coverage from genomic sequences. Functional genomics with the introduction to gene expression. Processes for microarray data analysis; Feature selection and classification for microarray data analysis. Protein families & proteomics; Protein structure and structural genomics; and Molecular evolution and phylogeny. BI6123 Methods and Tools of Proteomics (2007) : Proteomics study and identify protein structure, interactions of protein/protein and protein/DNA and biology of organisms. We will further introduce the newly developed technology for the quantitative analysis of protein expression and function on a genome-wide scale. BI1602 and SC448 Introductory Bioinformatics (2005,06): Basic bioinformatics concepts. Databases, tools and applications. BI1603 Computational Biology (2006) Introduce the applications of the techniques of computer science, applied mathematics, and statistics to address problems inspired by biology. Major computational techniques used in biology include Bayes, HMM, MI etc. BG3011 Biocomputing (2005, 06) : Introduction the new course of biocomputing for students in SCBE, the subject is first offered in July 2005; It covers Concepts; Bioinformatics databases; Sequence alignment; Phylogeny and protein structure prediction. BI6104 Biostatistics : First offered in July 2003, this course equipped the students in MSc with Knowledge of statistics, experimental design and statistical learning. Curriculum for MSc in Bioinformatics : From August 2001 to June 2002, I worked with Vice-Dean (Academic) SCE, Head, Natural Science of NIE, Vice-Dean (Academic) of SBS and Professor from MPE and EEE to structure the new MSc in Bioinformatics. SC104 Mathematics I Fundamental of mathematics for Engineering include statistics and calculus CE307 Computer Peripherals : In 1996-2000 , re-design the course to include start-of-the-art techniques such as PRML, USB and Bluetooth. M495 & M6524 Medical Assist Surgery (2000-2002): Co-planed and lectured the final year and MSc elective for Biomedical Engineering. Digital Signal Processing (1992): Planed and lectured the final year elective for the computer engineering. MY PHD THESIS GRADUATE ADVISORS: Prof Duncan Fyfe Gillies - Professor of Biomedical Data Analysis, Department of Computing, Imperial College London My PhD thesis Probabilistic Reasoning From Correlated Objective Data , University of London, Imperial College PUBLICATIONS From Google Scholar https://scholar.google.com.sg/citations?hl=en&user=jVn0wDMAAAAJ&view_op=list_works&sortby=pubdate Computational approaches for detecting protein complexes from protein interaction networks: a survey X Li, M Wu, CK Kwoh, SK Ng BMC genomics 11 (1), S3 286 2010 A core-attachment based method to detect protein complexes in PPI networks M Wu, X Li, CK Kwoh, SK Ng BMC bioinformatics 10 (1), 169 272 2009 The effect of genotype and in utero environment on inter-individual variation in neonate DNA methylomes AL Teh , H Pan, L Chen, ML Ong, S Dogra, J Wong, JL MacIsaac , SM Mah , ... Genome research, gr. 171439.113 173 2014 Drugtarget interaction prediction by learning from local information and neighbors JP Mei, CK Kwoh, P Yang, XL Li, J Zheng Bioinformatics 29 (2), 238-245 120 2012 Augmented reality systems for medical applications SL Tang, CK Kwoh, MY Teo, NW Sing, KV Ling IEEE engineering in medicine and biology magazine 17 (3), 49-58 102 1998 Positive-unlabeled learning for disease gene identification P Yang, XL Li, JP Mei, CK Kwoh, SK Ng Bioinformatics 28 (20), 2640-2647 80 2012 The safety issues of medical robotics B Fei, WS Ng, S Chauhan, CK Kwoh Reliability Engineering & System Safety 73 (2), 183-192 78 2001 Inferring gene-phenotype associations via global protein complex network propagation P Yang, X Li, M Wu, CK Kwoh, SK Ng PloS one 6 (7), e21502 74 2011 Feasibility structure modeling : an effective chaperone for constrained memetic algorithms SD Handoko, CK Kwoh, YS Ong IEEE Transactions on Evolutionary Computation 14 (5), 740-758 71 2010 Applying the clonal selection principle to find flexible job-shop schedules ZX Ong, JC Tay, CK Kwoh International Conference on Artificial Immune Systems, 442-455 68 2005 CovalentDock : automated covalent docking with parameterized covalent linkage energy estimation and molecular geometry constraints X Ouyang, S Zhou, CTT Su, Z Ge, R Li, CK Kwoh Journal of computational chemistry 34 (4), 326-336 66 2013 CBESW: sequence alignment on the playstation 3 A Wirawan, CK Kwoh, NT Hieu, B Schmidt BMC bioinformatics 9 (1), 377 66 2008 PRED TAP: a system for prediction of peptide binding to the human transporter associated with antigen processing GL Zhang, N Petrovsky , CK Kwoh, JT August, V Brusic Immunome research 2 (1), 3 63 2006 Using hidden nodes in Bayesian networks CK Kwoh, DF Gillies Artificial intelligence 88 (1-2), 1-38 62 1996 Review of tandem repeat search tools: a systematic approach to evaluating algorithmic performance KG Lim, CK Kwoh, LY Hsu, A Wirawan Briefings in bioinformatics 14 (1), 67-81 53 2012 Quantitative model of R-loop forming structures reveals a novel level of RNADNA interactome complexity T Wongsurawat, P Jenjaroenpun, CK Kwoh, V Kuznetsov Nucleic acids research 40 (2), e16-e16 51 2011 Fast leave-one-out evaluation and improvement on inference for LS-SVMs Z Ying, KC Keong Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International 43 2004 On the two-level hybrid clustering algorithm EY Cheu , C Keongg , Z Zhou International conference on artificial intelligence in science and 43 2004 Outlining the prostate boundary using the harmonics method CK Kwoh, MY Teo, WS Ng, SN Tan, LM Jones Medical and Biological Engineering and Computing 36 (6), 768-771 43 1998 Ensemble positive unlabeled learning for disease gene identification P Yang, X Li, HN Chua, CK Kwoh, SK Ng PloS one 9 (5), e97079 41 2014 diff --git a/src/data/compiled_bios/4350.txt b/src/data/compiled_bios/4350.txt new file mode 100644 index 0000000000..0929dfbce4 --- /dev/null +++ b/src/data/compiled_bios/4350.txt @@ -0,0 +1 @@ +Sik-Sang (Stephen) Yau Professor Stephen S. Yau joined ASU in 1994. He was professor and chair of the Department of Computer and Information Sciences at the University of Florida from 1988 to 1994. In 1961, he joined the faculty of Northwestern University, Evanston, Ill., and later became the Walter P. Murphy Professor and Chair of the Department of Electrical Engineering and Computer Science there. He has published more than 210 journal and conference papers and his research has been supported by NSF, AFRL, ONR, ARO, NIH and companies including Hitachi and Fujitsu. yau@asu.edu 480-965-2647 BYENG 488 http://dpse.asu.edu/yau/ Education Ph.D., Electrical Engineering, University of Illinois, 1961 Research interests Trust management and security, software engineering, distributed systems, service based systems, ubiquitous/pervasive computing Honors and awards Information Assurance Center awarded recognition as National Center of Academic Excellence, NSA Overseas Outstanding Contributions Award of the Chinese Computer Federation (2006) Tsutomu Kanai Award of IEEE Computer Society (2002) Fellows of IEEE and AAAS Key activities Keynote speaker, 2008 IEEE Intl Conf. on Services Computing Editorial Board member of IEEE Trans. on Service Computing January 7, 2016 CIDSE if !vml endif Stephen S. Yau Professor of Computer Science and Engineering Telephone: 480-965-2647 Fax: 480-965-2751 E-mail: yau@asu.edu Research Interests Cyber Trust Cloud Computing Software Engineering Service-based Systems Parallel and Distributed Computing Systems Current and Recent Sponsored Projects An Effective Predictive Approach to Securing Critical Infrastructure through Adaptive Probabilistic Modelling Sponsor: Army Research Office Principal Investigator: S. S. Yau , Arizona State University "SFS: An Information and Systems Assurance Scholarship Program" Sponsor: National Science Foundation Principal Investigator: S. S. Yau , Arizona State University Co-Principal Investigator: Gail-Joon Ahn, Arizona State University Co-Principal Investigator: Dijang Huang , Arizona State University "Design of Service-based Software Systems with QoS Monitoring and Adaptation" Sponsor: National Science Foundation Principal Investigator: S. S. Yau , Arizona State University Co-Principal Investigator: Nong Ye, Arizona State University Co-Principal Investigator: Hessam Sarjoughian , Arizona State University " Collaborative Research: CT-T: Security and Survivability of Real-time Systems with MANETs " Sponsor: National Science Foundation Principal Investigator: S. S. Yau , Arizona State University Co-Principal Investigator: Guoliang Xue , Arizona State University [Principal Investigator at University of California , Irvine for this collaborative research:: Kane Kim] " Trustworthy Data Sharing and Management in Collaborative Pervasive Computing Environments " Sponsor: National Science Foundation Principal Investigator: S. S. Yau "Adaptable Situation-Aware Secure Service-Based Systems" Sponsor: DoD -ONR, MURI Program Principal Investigator: S. S. Yau , Arizona State University Co-Principal Investigator: Hasan Davulcu , Arizona State University Co-Principal Investigator: Supratik Mukhophadyay , Utah State University (formerly West Virginia University ) " Adaptive Middleware Services for Situation-Aware Communication in Ubiquitous Computing Environments " Sponsor: National Science Foundation Principal Investigator: S. S. Yau , Arizona State University Co-Principal Investigator: Sandeep K S Gupta, Arizona State University "Component-Based Real-Time Application Software Development" Sponsor: Fujitsu Network Communications, Inc. Principal Investigator: S. S. Yau "Software Development for Autonomous Decentralized Systems" Sponsor: Hitachi , Ltd. Principal Investigator: S. S. Yau "Automating Object-Oriented Software Development for Parallel Processing Systems" Sponsor: US Air Force R esearch Laborat ory Principal Investigator: S. S. Yau Recent Publications Past and Current Classes CSE 545 Software Security CSE 543 Information Assurance and Security CSE 465 Information Assurance CSE 360 Intro to Software Engineering CSE 591 Embedded Software Systems Major Professional Activities Awards Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. 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Yau joined ASU in 1994. He was professor and chair of the Department of Computer and Information Sciences at the University of Florida from 1988 to 1994. In 1961, he joined the faculty of Northwestern University, Evanston, Ill., and later became the Walter P. Murphy Professor and Chair of the Department of Electrical Engineering and Computer Science there. He has published more than 210 journal and conference papers and his research has been supported by NSF, AFRL, ONR, ARO, NIH and companies including Hitachi and Fujitsu. yau@asu.edu 480-965-2647 BYENG 488 http://dpse.asu.edu/yau/ Education Ph.D., Electrical Engineering, University of Illinois, 1961 Research interests Trust management and security, software engineering, distributed systems, service based systems, ubiquitous/pervasive computing Honors and awards Information Assurance Center awarded recognition as National Center of Academic Excellence, NSA Overseas Outstanding Contributions Award of the Chinese Computer Federation (2006) Tsutomu Kanai Award of IEEE Computer Society (2002) Fellows of IEEE and AAAS Key activities Keynote speaker, 2008 IEEE Intl Conf. on Services Computing Editorial Board member of IEEE Trans. on Service Computing January 7, 2016 CIDSE CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4351.txt b/src/data/compiled_bios/4351.txt new file mode 100644 index 0000000000..fafac2a923 --- /dev/null +++ b/src/data/compiled_bios/4351.txt @@ -0,0 +1 @@ +Ye, Nong Professor Nong Ye received her Ph.D. degree (1991) in Industrial Engineering from Purdue University, and her M.S. degree (1988) and B.S. degree (1985) in Computer Science from the Chinese Academy of Sciences and Peking University, both in P. R. China. Dr. Yes past and current research activities have received over $8M external funding support and have produced seventy-eight journal papers and three books. Yes research focuses on modeling, mining and analyzing massive data to understand dynamics of computer and network systems and biological brain systems which will be used to develop system solutions to improve the design of information systems for Quality of Service (QoS) and Quality of Information Assurance (QoIA). Her recent research involves understanding statistical/mathematical data characteristics of normal use and attack activities on computers and networks to develop intrusion detection algorithms, understanding cause-effect dynamics of service activities, resource state and QoS performance on computers and networks to enable QoS adaptation and tradeoff between QoS and QoIA, and understanding neural population dynamics of biological brain for motor movements to develop human-brain interface applications for assisting people with disabilities in motor functions. nongye@asu.edu 480-965-7812 BYENG 482 http://enpub.fulton.asu.edu/ye/ Education Ph.D., Industrial Engineering, Purdue University, 1991 M.S., Computer Science, The Chinese Academy of Sciences, Beijing, China, 1988 B.S., Computer Science, Peking University, Beijing, China, 1985 Research interests Information and systems assurance, data mining and modeling, quality optimization and control of system operations Key activities Associate Editor,Information, Knowledge, Systems Management Associate Editor,IEEE Transactions on Systems, Man, & Cybernetics, Part A Editorial Boards:International Journal of Human-Computer Interaction;Information, Knowledge, Systems Management October 7, 2015 CIDSE success fail Aug JUN Jul 12 2008 2010 2011 12 captures 17 Jun 2006 - 12 Jun 2010 About this capture COLLECTED BY Organization: Alexa Crawls Starting in 1996, Alexa Internet has been donating their crawl data to the Internet Archive. Flowing in every day, these data are added to the Wayback Machine after an embargo period. Collection: Alexa Crawls Starting in 1996, Alexa Internet has been donating their crawl data to the Internet Archive. Flowing in every day, these data are added to the Wayback Machine after an embargo period. TIMESTAMPS Nong Ye, Ph.D. INTRODUCTION CURRICULUM VITAE PUBLICATIONS RESEARCH AWARDS **Out now!** Secure Computer and Network Systems : Modeling, Analysis and Desig n by Nong Ye Read more and buy online at Secure Computer and Network Systems : Modeling, Analysis and Design if !vml endif if !vml endif NONG YE , Ph.D. Professor , Department of Industrial Engineering Director , Cluster on Data Exploration and Modeling for Brain Science Director , Information and Systems Assurance Laboratory Ira A. Fulton School of Engineering ARIZONA STATE UNIVERSITY Box 875906, Tempe, AZ 85287 Phone: (480) 965-7812, Fax: (480) 965-8692 Email: nongye@asu.edu , URL: http://enpub.fulton.asu.edu/ye/ INTRODUCTION Dr. Nong Ye is a Professor of Industrial Engineering at Arizona State University (ASU), Tempe, Arizona. Dr. Ye received her Ph.D. degree (1991) in Industrial Engineering from Purdue University, West Lafayette, Indiana, and her M.S. degree (1988) and B.S. degree (1985) in Computer Science from the Chinese Academy of Sciences and Peking University in P. R. China, respectively. Dr. Ye's past and current research activities, which have received over $8M external funding support and have produced seventy-six journal papers and three books (including Secure Computer and Network Systems: Modeling, Analysis and Design and The Handbook of Data Mining ), fall into the following two areas. Data and knowledge exploration , involving the following data and applications. o Computer and network data for real-time decision making to detect and assess cyber attacks and security risks on computer and network systems. Through data mining, statistical analysis and data modeling, attack-sensitive data variables are selected, statistical and mathematical features of data are extracted and examined to discover distinctive univariate and multivariate characteristics of cyber attack data, data models are defined to represent discovered data characteristics, and detection and assessment algorithms which incorporate data models are developed. Two examples of sponsored research projects: U. S. Intelligence Community Advanced Research and Development Activities/Air Force Research Laboratory, September 2003 February 2005, $799,576, N. Ye (PI), Cyber Signal/Noise Characteristics and Sensor Models for Early Cyber Indications and Warning. Defense Advanced Research Projects Agency , May 1999 May 2001, $612,083, N. Ye (PI), The Monitoring, Detection, Isolation and Assessment of Information Warfare Attacks through Multi-Level, Multi-Scale System Modeling and Model-based Technology. Two examples of publications: X. Li, and N. Ye, A supervised clustering and classification algorithm for mining data with mixed variables. IEEE Transactions on Systems, Man, and Cybernetics, Part A, Vol. 36, No. 2, 2006, pp. 396-406. N. Ye, Q. Chen, and C. Borror, EWMA forecast of normal system activity for computer intrusion detection. IEEE Transactions on Reliability , Vol. 53, No. 4, 2004, pp. 557-566. o Cognitive behavioral data for human-computer interface design. Through experimental design, statistical hypothesis testing and data mining, human behavioral and performance data in computer programming and manufacturing assembly tasks are collected and analyzed to understand expert-novice differences in knowledge representation which are then used to design user-friendly computer interface. Two examples of sponsored research projects: Office of Naval Research, October 1992 September 1995, $730,000, N. Ye (co-PI), MURI: Three-Dimensional Visualization and Interaction for the Design of Large-Scale Manufactured Objects. National Science Foundation, September 1992 February 1996, $90,000, N. Ye (PI) , A Cognitive Engineering Approach to the Interface Design of Decision Support Systems for Machine Fault Diagnosis. Two examples of publications: N. Ye, P. Banerjee, A. Banerjee, and F. Dech, A comparative study of assembly planning in traditional and virtual environments. IEEE Transactions on Systems, Man, and Cybernetics, Vol. 29, No. 4, 1999, pp. 546-555. N. Ye, The MDS-ANAVA technique for assessing knowledge representation differences between skill groups. IEEE Transactions on Systems, Man and Cybernetics, Vol. 28, No. 5, 1998, pp. 586-600. o Biomedical data for brain science with applications in Brain-Machine Interface (BMI) for assisting people who have lost motor or sensory function and in prediction and treatment of brain-related diseases such as the Alzheimer disease and brain tumors. Through data mining, statistical analysis and data modeling, brain data (including electrical spike waveforms and structural/functional images) are analyzed to discover statistical/mathematical features and characteristics of brain neuron population dynamics, and data models are defined accordingly and employed in applications for BMI and disease prediction/treatment. One example of sponsored research : Ira A. Fulton School of Engineering, February 2007 - February 2009, N. Ye (Director) , "Cluster of Data Exploration and Modeling for Brain Science." o Urban system and environment data for urban system sustainability. Through data mining, statistical analysis and data modeling, urban metabolic flow data (including data about water, materials, energy, waste, air quality, etc.) are analyzed to understand interrelationships of urban systems and to design sustainable urban system infrastructures. Optimization and quality control of system process and operations, involving the following systems. o Computer and network systems for dependability, especially service stability and end-to-end delay guarantee. Though modeling, simulation and optimization of job scheduling, admission control and resource reservation, job waiting time variance is minimized at local and regional levels of computer and network services, and end-to-end delay guarantee is enabled at the global level of computer and network services. Two examples of sponsored research projects: Department of Defense and Air Force Office of Scientific Research, May 2001 December 2006, $2,133,095, N. Ye (PI), MURI CIP: A Complex Adaptive System Approach to QoS Assurance and Stateful Resource Management for Dependable Information Infrastructure. National Science Foundation , October 1998 September 2003, $2,000,000, N. Ye (co-PI), CAVERN - The CAVE Research Network. Two examples of publications: X. Xu, and N. Ye, Minimization of job waiting time variance on identical parallel machines. IEEE Transactions on Systems, Man, and Cybernetics, Part C, in press. N. Ye, Z. Yang, Y.-C. Lai, and Toni Farley, Enhancing router QoS through job scheduling with weighted shortest processing timeadjusted. Computers & Operations Research, Vol. 32, No. 9, 2005, pp. 2255-2269. o Manufacturing and supply chain enterprises for process monitoring and control. Through statistical analysis and system simulation, an understanding of information sharing and control effects on supply chain performance is established, and the statistical model for quality prediction is developed. Two examples of sponsored research projects: National Science Foundation, August 2000 July 2001, $199,826, N. Ye (co-PI), Scalable Theory of Enterprises: Control versus Emergence. Defense Advanced Research Projects Agency , January 2001 December 2001, $80,000, N. Ye (PI), Modeling, Analysis and Control of Heterogeneous-Agent Enterprise Systems in E-Commerce. Two examples of publications: N. Ye, Q. Zhong, and G. Rahn, Confidence assessment of quality prediction from process measurement in sequential manufacturing processes. IEEE Transactions on Electronic Packaging Manufacturing, Vol. 23, No. 3, 2000, pp. 177-184. N. Ye, and T. Farley, Information sharing and control in homogeneous and heterogeneous supply networks. International Journal of Modeling and Simulation, Vol. 26, No. 2, 2006, pp. 160-168. Dr. Nong Ye's core expertise lies in the areas of data mining, statistical analysis, real-time decision making, and systems engineering, with applications in information security, bioinformatics and bioengineering, human-computer interaction, urban system sustainability, manufacturing, and enterprise management. Research outcomes include statistical/mathematical characterization of data and engineering transformation of scientific knowledge about data characteristics into design and use of systems. Through sponsored research projects and proposal efforts, Dr. Nong Ye ha s worked with people whose expertise lies in the areas of quality/reliability engineering, operations research/optimization, human factors, system modeling and simulation, computer science, mathematics/statistics, bioengineering, electrical engineering, civil engineering, and business management. Dr. Nong Ye's research has been featured in F ulton Research Reviews from the Ira A. Fulton School of Engineering at Arizona State University, Summer 2006 Full Circle Engineering News Magazine of ASU Fulton School of Engineering, Spring 2006 ASU Research Magazine, Winter 2004 . Dr. Nong Ye has served as: Editor, IEEE Transactions on Systems, Man, and Cybernetics (2003-present) Associate Editor, IEEE Transactions on Reliability (2003- 2007 ) Associate Editor, Information, Knowledge, and Systems Management (2004 present) Member, Editorial Board of International Journal of Human-Computer Interaction (1994-present), Information, Knowledge, Systems Management (2004 present) and International Journal of Cognitive Ergonomics (1997-2002) Co-Chair, The 8 th INFORMS Computing Society Conference, 2003 CURRICULUM VITAE Education 1991 Ph.D., Industrial Engineering, Purdue University, West Lafayette, Indiana, USA 1988 M.S., Computer Science, The Chinese Academy of Sciences, Beijing, China 1985 B.S., Computer Science, Peking University, Beijing, China Academic Experience 2002-present Professor of Industrial Engineering, Arizona State University, Tempe, Arizona 2002-2005 Affiliated Professor of Computer Science and Engineering, Arizona State University, Tempe, Arizona 2003- 2005 Adjunct Professor of Electronics and Computer Science, Peking University, Beijing, P. R. China 1998-2002 Associate Professor of Industrial Engineering, Arizona State University, Tempe, Arizona 1994-1998 Assistant Professor of Industrial Engineering, University of Illinois at Chicago, Chicago, Illinois 1991-1994 Assistant Professor of Human Factors Engineering, Wright State University, Dayton, Ohio Other Work Experience 2006 Consultant, General Dynamics C4 Systems, Scottsdale, Arizona 1997-1998 Visiting Scientist and Consultant, Manufacturing Systems Integration Division, National Institute of Standards and Technology, Gaithersburg, Maryland 1997 Summer Faculty Fellow, Information Directorate, United States Air Force Research Laboratory, Rome, New York 1989-1991 NEC Research Fellow, Purdue University, West Lafayette, Indiana Collaborative Work with Industry Banner Alzheimers Institute and Samaritan PET Center, Symantec Corporation, General Dynamics C4 Systems, AT&T Research Labs, Motorola, Inc., Caterpillar Inc., BF Goodrich Aerospace Inc., Globe Products Inc., and Whirlpool Corporation PUBLICATIONS Refereed Archival Journal Papers Published and Accepted Work: 7 6 papers 7 6 . N. Ye, and Q. Chen, Attack-norm separation for detecting attack-induced quality problems on computers and networks. Quality and Reliability Engineering International, Vol. 23, No. 5, 2007, pp. 545-553. 7 5 . X. Xu, and N. Ye, Minimization of job waiting time variance on identical parallel machines. IEEE Transactions on Systems, Man, and Cybernetics, Part C, Vol. 37, No. 5, 2007, pp. 917-927. 7 4 . N. Ye, T. Farley, X. Li, and B. Harish, Batch scheduled admission control for computer and network systems. Information, Knowledge, Systems Management, Vol. 5, No. 4, 2005/2006, pp. 211-226. 73. N. Ye, X. Li, T. Farley, and X. Xu, Job scheduling methods for reducing waiting time variance. Computers & Operations Research, Vol. 34, No. 10, 2007, pp. 3069-3083. 7 2 . X. Li, N. Ye, X. Xu, and R. Sawhey, Influencing factors of job waiting time variance on a single machine. European Journal of Industrial Engineering, Vol. 1, No. 1, 2007, pp. 56-73 . 71. X. Li, N. Ye, Tieming Liu, and Yang Sun, Job scheduling to minimize the weighted waiting time variance of jobs. Computers & Industrial Engineering, Vol. 52, No. 1, 2007, pp. 41-56. 70. N. Ye, C. Newman, and T. Farley, A system-fault-risk framework for cyber attack classification. Information, Knowledge, Systems Management, Vol. 5, No. 2, 2006, pp. 135-151. 69. N. Ye, T. Farley, and D. K. Lakshminarasimhan, "An Attack-Norm Separation Approach for Detecting Cyber Attacks," Information Systems Frontiers , Vol. 8, No. 3, 2006, pp. 163-177. 68. Z. Yang, N. Ye, and Y.-C. Lai, QoS model of a router with feedback control. Quality and Reliability Engineering International, Vol. 22, No. 4., 2006, pp. 429-444. 67. N. Ye, and T. Farley, Information sharing and control in homogeneous and heterogeneous supply networks. International Journal of Modeling and Simulation, Vol. 26, No. 2, 2006, pp. 160-168. 66. N. Ye, D. Parmar, and C. M. Borror, A hybrid SPC method with the Chi-square distance monitoring procedure for large-scale, complex process data. Quality and Reliability Engineering International, Vol. 22, No. 4, 2006, pp. 393-402. 65. X. Li, and N. Ye, A supervised clustering and classification algorithm for mining data with mixed variables. IEEE Transactions on Systems, Man, and Cybernetics, Part A, Vol. 36, No. 2, 2006, pp. 396-406. 64. N. Ye, B. Harish, and T. Farley, A ttack profiles to derive data observables, features, and characteristics of cyber attacks. Information, Knowledge, Systems Management, Vol. 5, No. 1, 2006, pp. 23-47. 63. N. Ye and T. Farley, A scientific approach to cyberattack detection. IEEE Computer, Vol. 38, No. 11, 2005, pp. 55-61. 6 2. N. Ye, Z. Yang, Y.-C. Lai, and Toni Farley, Enhancing router QoS through job scheduling with weighted shortest processing timeadjusted. Computers & Operations Research, Vol. 32, No. 9, 2005, pp. 2255-2269. 61. N. Ye, E. Gel, X. Li, T. Farley, and Y.-C. Lai, Web-server QoS models: Applying scheduling rules from production planning. Computers & Operations Research , Vol. 32, No. 5, 2005, pp. 1147-1164. 60. T. Wu, N. Ye, and D. Zhang, Comparison of distributed methods for resource allocation. International Journal of Production Research , Vol. 43, No. 3, 2005, pp. 515-536. 59. X. Li, and N. Ye, A supervised clustering algorithm for mining normal and intrusive activity patterns in computer intrusion detection. Knowledge and Information Systems, Vol. 8, No. 4, 2005, pp. 498-509. 58. L. Zhao, K. Park, Y.-C. Lai, and N. Ye, ``Tolerance of scale-free networks against attack-induced cascades.'' Physical Review E, Vol. 72, No. 2, 2005, pp. 025104-1 to 025104-4. 57. K. Park, Y.-C. Lai, and N. Ye, Self-organized scale-free networks. Physical Review E, Vol. 72, No. 2, 2005, pp. 026131-1 to 026131-5. 56. K. Park, Y.-C. Lai, L. Zhao, and N. Ye, ``Jamming in complex gradient networks.'' Physical Review E, Vol. 71, No. 6, 2005, pp. 065105-1 to 065105-4. 55. L. Zhao, Y.-C. Lai, K. Park, and N. Ye, Onset of traffic congestion in complex networks. Physical Review E, Vol. 71, No. 2, 2005, pp. 026125-1 to 026125-8. 54. N. Ye, Q. Chen, and C. Borror, EWMA forecast of normal system activity for computer intrusion detection. IEEE Transactions on Reliability , Vol. 53, No. 4, 2004, pp. 557-566. 53. N. Ye, Y. Zhang, and C. M. Borror, Robustness of the Markov-chain model for cyber-attack detection. IEEE Transactions on Reliability, Vol. 53, No. 1, 2004, pp. 116-123. 52. N. Ye and O. S. Saydjari, Introduction to special section on: quality/reliability engineering of information systems, IEEE Transactions on Reliability, Vol. 53, No. 1, 2004, pp. 102. 51. N. Ye, T. Farley, D. Aswath, Data measures and collection points to detect traffic changes on large-scale computer networks. Information, Knowledge, Systems Management, Vol. 4, No. 4, 2004, pp. 215-224. 50. K. Park, Y.-C. Lai, and N. Ye, Characterization of weighted complex networks. Physical Review E, Vol. 70, No. 2, 2004, pp. 026109-1 to026109-4. 49. Y. Chen, T. Farley, and N. Ye, QoS requirements of network applications on the Internet. Information, Knowledge, Systems Management , Vol. 4, No.1, 2004, pp. 55-76. 48. N. Ye, and Q. Chen, Computer intrusion detection through EWMA for auto-correlated and uncorrelated data. IEEE Transactions on Reliability, Vol. 52, No. 1, 2003, pp. 73-82. 47. N. Ye, C. Borror, and D. Parmar, Scalable chi square distance versus conventional statistical distance for process monitoring with uncorrelated data variables. Quality and Reliability Engineering International, Vol. 19, No. 6, 2003, pp. 505-515. 46. N. Ye, Y.-C. Lai, and T. Farley, Dependable information infrastructures as complex adaptive systems. Systems Engineering, Vol. 6, No. 4, 2003, pp.225-237. 45. N. Ye, An information processing model for human-computer integrated assembly planning systems. JCIIE, Vol. 20, No. 3, 2003, pp. 220-229. 44. Y.-C. Lai, Z. Liu, and N. Ye, ``Infection dynamics on growing networks.'' International Journal of Modern Physics B, Vol. 17, 2003, pp. 4045-4061. 43. Y.-C. Lai, and N. Ye, Recent developments in chaotic time series analysis. International Journal of Bifurcation and Chaos, Vol. 13, No. 6, 2003, pp. 1383-1422. 42. Z. Liu, Y.-C. Lai, and N. Ye, Propagation and immunization of infection on general networks with both homogeneous and heterogeneous components. Physical Review E, Vol. 67, 031911, 2003, pp. 031911-1 to 031911-5. 41. N. Ye, X. Li, and T. Farley, A data mining technique for discovering distinct patterns of hand signs: Implications in User Training and Computer Interface Design. Ergonomics, Vol. 46, No. 1-3, 2002, pp. 188-196. 40. N. Ye, C. Borror, and Y. Zhang, EWMA techniques for computer intrusion detection through anomalous changes in event intensity. Quality and Reliability Engineering International, Vol. 18, No. 6, 2002, pp. 443-451. 39. N. Ye, S. M. Emran, Q. Chen, and S. Vilbert, Multivariate statistical analysis of audit trails for host-based intrusion detection. IEEE Transactions on Computers, Vol. 51. No. 7, 2002, pp. 810-820. 38. N. Ye, and X. Li, A scalable, incremental learning algorithm for classification problems. Computers & Industrial Engineering Journal, Vol. 43, No. 4, 2002, pp. 677-692. 37. N. Ye, T. Ehiabor, and Y. Zhang, First-order versus high-order stochastic models for computer intrusion detection. Quality and Reliability Engineering International, Vol. 18, No. 3, 2002, pp. 243-250. 36. N. Ye, Information infrastructure of engineering collaboration in a distributed virtual enterprise. International Journal of Computer Integrated Manufacturing, Vol. 15, No. 3, 2002, pp. 265-273. 35. N. Ye, QoS-centric stateful resource management in information systems. Information Systems Frontiers, Vol. 4, No. 2, 2002, pp. 149-160. 34. S. M. Emran, and N. Ye, Robustness of chi-square and Canberra techniques in detecting intrusions into information systems. Quality and Reliability Engineering International, Vol. 18, No. 1, 2002, pp. 19-28. 33. X. Li, and N. Ye, Grid- and dummy-cluster-based learning of normal and intrusive clusters for computer intrusion detection. Quality and Reliability Engineering International, Vol. 18, No. 3, 2002, pp. 231-242. 3 2. Z. Liu, Y.-C. Lai, N. Ye, and P. Dasgupta, Connectivity distribution and attack tolerance of general networks with both preferential and random attachments. Physics Letters A, Vol. 303, 2002, pp. 337-344. 3 1 . Z. Liu, Y.-C. Lai, and N. Ye, Statistical properties and attack tolerance of growing networks with algebraic preferential attachment. Physical Review E, Vol. 66, 2002, pp. 036112-1 to 036112-7. 30. N. Ye, X. Li, Q. Chen, S. M. Emran, and M. Xu, Probabilistic techniques for intrusion detection based on computer audit data. IEEE Transactions on Systems, Man, and Cybernetics, Vol. 31, No. 4, 2001, pp. 266-274. 29. N. Ye, V. Nguyen, and G. Runger, Assessment of operation plan performance under uncertainty. IEEE Transactions on Systems, Man, and Cybernetics, Vol. 31, No. 2, 2001, pp. 256-260 . 28 . N. Ye, J. Giordano, and J. Feldman, A process control approach to cyber attack detection. Communications of the ACM, Vol. 44, No. 8, 2001, pp. 76-82. 27 . N. Ye, and Q. Chen, An anomaly detection technique based on a chi-square statistic for detecting intrusions into information systems. Quality and Reliability Engineering International, Vol. 17, No. 2, 2001, pp. 105 - 112. 26 . N. Ye, Robust intrusion tolerance for information systems. Information Management and Computer Security, Vol. 9, No. 1, 2001, pp. 38-43. 25 . N. Ye, A hierarchical, distributed architecture of command and control. Information, Knowledge, Systems Management, Vol. 2, No. 3, 2001, pp. 261-269. 24 . X. Li, and N. Ye, Decision tree classifiers for computer intrusion detection. Journal of Parallel and Distributed Computing Practices, Vol. 4, No. 2, 2001, pp. 179-190. 23 . S. M. Emran, and N. Ye, A system architecture for computer intrusion detection. Information, Knowledge, Systems Management, Vol. 2, No. 3, 2001, pp. 271-290. 22 . N. Ye, Q. Zhong, and G. Rahn, Confidence assessment of quality prediction from process measurement in sequential manufacturing processes. IEEE Transactions on Electronic Packaging Manufacturing, Vol. 23, No. 3, 2000, pp. 177-184. 21 . N. Ye, P. Banerjee, A. Banerjee, and F. Dech, A comparative study of assembly planning in traditional and virtual environments. IEEE Transactions on Systems, Man, and Cybernetics, Vol. 29, No. 4, 1999, pp. 546-555. 20 . A. Banerjee, P. Banerjee, N. Ye, and F. Dech, Assembly planning effectiveness using virtual reality. Presence: Teleoperators and Virtual Environments, Vol. 8, No. 2, 1999, pp. 204-217. 19 . N. Ye, The MDS-ANAVA technique for assessing knowledge representation differences between skill groups. IEEE Transactions on Systems, Man and Cybernetics, Vol. 28, No. 5, 1998, pp. 586-600. 18 . N. Ye, Neural networks approach to user modeling and intelligent interface: A review and reappraisal. International Journal of Human-Computer Interaction, Vol. 9, No. 1, 1997, pp. 3-24. 17 . N. Ye, Objective and consistent analysis of group differences in knowledge representation. International Journal of Cognitive Ergonomics, Vol. 1, No. 2, 1997, pp. 169-187. 16 . N. Ye, and B. Zhao, Automatic setting of article format through neural networks. International Journal of Human-Computer Interaction, Vol. 9, No. 1, 1997, pp. 81-100. 15 . N. Ye, The presentation of knowledge and state information for system fault diagnosis. IEEE Transactions on Reliability, Vol. 45, No. 4, 1996, pp. 638-645. 14 . N. Ye, A hierarchy of system-oriented knowledge for diagnosis of manufacturing system faults. Information and System Engineering, Vol. 2, No. 2, 1996, pp. 79-103 . 13 . N. Ye, Self-adapting decision support for interactive fault diagnosis of manufacturing systems. International Journal of Computer Integrated Manufacturing, Vol. 9, No. 5, 1996, pp. 392-401 . 12 . N. Ye, and D. A. Urzi, Heuristic rules and strategies of assembly planning: Experiment and Implications in the design of assembly decision support system. International Journal of Production Research, Vol. 34, No. 8, 1996, pp. 2211-2228 . 11 . N. Ye, and G. Salvendy, Expert-novice knowledge of computer programming at different levels of abstraction. Ergonomics, Vol. 39, No. 3, 1996, pp. 461-481 . 10 . N. Ye, and G. Salvendy, An objective approach to exploring skill differences in strategies of computer program comprehension. Behaviour & Information Technology, Vol. 15, No. 3, 1996, pp. 139-148. 9 . C. B. Swider, and N. Ye, Effect of information at different stages of users training. Perceptual and Motor Skills, Vol. 83, 1996, pp. 747-754 . 8 . L. K. Hennings, and N. Ye, Interaction of screen distances, screen letter heights and source document distances. Interacting with computers, Vol. 8, No. 4, 1996, pp. 311-322. 7 . N. Ye, and B. Zhao, A hybrid intelligent system for fault diagnosis of advanced manufacturing system. International Journal of Production Research, Vol. 34, No. 2, 1996, pp. 555-576 . 6 . R. D. Caldwell, N. Ye, and D. A. Urzi, Re-engineering the product development cycle and future enhancements of the computer integrated manufacturing environment. International Journal of Computer Integrated Manufacturing, Vol. 8, No. 6, 1995, pp. 441-447 . 5 . N. Ye, and G. Salvendy, Quantitative and qualitative differences between experts and novices in chunking computer software knowledge. International Journal of Human-Computer Interaction, Vol. 6, No. 1, 1994, pp. 105-118. 4 . N. Ye, B. Zhao, and G. Salvendy, Neural-networks-aided fault diagnosis in supervisory control of advanced manufacturing systems. International Journal of Advanced Manufacturing Technology , Vol. 8, 1993, pp. 200-209. 3 . N. Ye, and G. Salvendy, Cognitive engineering based knowledge representation in neural networks. Behaviour & Information Technology, Vol. 10, No. 5, 1991, pp. 403-418. 2 . C. Zhong, and N. Ye JSD methodology in software engineering. Journal of Computer Science, No. 6, 1988, pp. 33-38. 1 . C. Zhong, and N. Ye, The conceptual framework of software engineering. Journal of Computer Science, No. 1, 1988, pp. 50-56. Book Publishing Books 3. N. Ye, Secure Computer and Network Systems: Modeling, Analysis and Design , London, UK: John Wiley & Sons, 2008, ISBN 978-0-470-02324-2 (304 pages). **Out now!** Read more and buy online at Secure Computer and Network Systems : Modeling, Analysis and Design 2 . N. Ye (ed.), The Handbook of Data Mining. Mahwah, New Jersey: Lawrence Erlbaum Associates, 2003, ISBN 0-8058-4081-8. (689 pages) 1 . H. K. Bhargava, and N. Ye (eds.), Computational Modeling and Problem Solving in the Networked World. Norwell, MA: Kluwar Academic Publishers, 2003, ISBN 1-4020-7295-3. (325 pages) Book Chapters 6. X. Li, and N. Ye, Chapter 16. Intrusion detection and information infrastructure protection, in H. Chen, T.S. Raghu, R. Ramesh, A. Vinze, and D. Zeng (eds.), Handbooks in Information Systems, Vol. 2.Information Security, Elsevier, 2007. 5 . N. Ye, Dependability of Computer and Network Systems, in A. B. Badiru (ed.), The Handbook of Industrial and Systems Engineering , Boca Raton, Florida: CRC Press, 2005, ISBN 0-8493-2719-9, pp. 21-1 to 21-18. 4 . N. Ye, Network security and quality of service, in M. D. Licker (ed.), McGraw-Hill Yearbook of Science & Technology 2005, New York, New York: McGraw Hill, 2005, pp. 232-235. ISBN 0-07-144504-8 (426 pages) 3. N. Ye, Mining computer and network security data, in N. Ye (ed.), The Handbook of Data Mining. Mahwah, New Jersey: Lawrence Erlbaum Associates, 2003, pp. 617-636. ISBN 0-8058-4081-8. (689 pages) 2 . Y.-C. Lai, Z. Liu, and N. Ye, Nonlinear time series analysis, in N. Ye (ed.), The Handbook of Data Mining. Mahwah, New Jersey: Lawrence Erlbaum Associates, 2003, pp. 305-340. 1 . N. Ye, Process Control, In B. Wang (ed.), Integrated Product, Process and Enterprise Design. Chapman & Hall, 1998, pp. 225-245. Patent s 1. N. Ye, and X. Li, Method for Classifying Data Using Clustering and Classification Algorithm Supervised, United State Patent No. 6907436 (issued June 14, 2005), ASU Case No. M1-015. 2. N. Ye, X. Li, T. Farley, and B. Harish, Job Scheduling Techniques to Reduce the Variance of Waiting Time, United State Patent Application No. 20040237087 (Patent exposure filed November 25, 2004; Patent filed May 10, 2006.), ASU Case No. M3-069 and ASU Case No. M3-080. RESEARCH AWARDS Sponsored Research External Grants, Contracts and Awards : $8M+ 1 . Department of Defense through Air Force Office of Scientific Research MURI CIP: A Complex Adaptive System Approach to QoS Assurance and Stateful Resource Management for Dependable Information Infrastructure N. Ye (Principal Investigator) May 2001 December 2006 2 . Advanced Research and Development Activities/Air Force Research Laboratory Cyber Signal/Noise Characteristics and Sensor Models for Early Cyber Indications and Warning N. Ye (Principal Investigator) September 2003 February 2005 Subcontractors: Symantec Corporations and AT&T Research Labs 3. Air Force Office of Scientific Research Equipment for Research on Intrusion and Damage Assessment N. Ye (Principal Investigator) May 2004 April 2005 4. Air Force Office of Scientific Research Automatic Extraction and Coordination of Audit Data and Features for Intrusion and Damage Assessment N. Ye (Principal Investigator) January 2003 December 2005 5. Symantec Corporation Computer Network Security and QoS N. Ye (Principal Investigator) April 2003 March 2006 6. Air Force Office of Scientific Research Equipment for Research on Dependable Information Infrastructure N. Ye (Principal Investigator) May 2002 April 2003 7. National Science Foundation CAVERN - The CAVE Research Network N. Ye (co-PI) October 1998 September 2003 8. United States Air Force Research Laboratory QoS and Control-Theoretic Techniques for Intrusion Tolerance N. Ye (Principal Investigator) April 2001 March 2002 9. Air Force Office of Scientific Research A Process Engineering Approach to the Development and Integration of Intrusion Detection Techniques N. Ye (Principal Investigator) April 1998 December 2001 10. Defense Advanced Research Projects Agency Modeling, Analysis and Control of Heterogeneous-Agent Enterprise Systems in E-Commerce N. Ye (Principal Investigator) January 2001 December 2001 11. Symantec Corporation Internet Security Software Gifts N. Ye (Principal Investigator) September 2001 12. Microsoft Corporation Education Software Gifts N. Ye (co-PI) September 2001 13. National Institute of Standards and Technology Modeling and Simulation of Supply Chain Enterprises as Complex Adaptive Systems N. Ye (Principal Investigator) September 2000 September 2001 14. National Science Foundation Scalable Theory of Enterprises: Control versus Emergence N. Ye (co-PI) August 2000 July 2001 15. Defense Advanced Research Projects Agency The Monitoring, Detection, Isolation and Assessment of Information Warfare Attacks through Multi-Level, Multi-Scale System Modeling and Model-based Technology N. Ye (Principal Investigator) May 1999 May 2001 16. Air Force Office of Scientific Research Computer Network Equipment for Intrusion Detection Research N. Ye (Principal Investigator) March 1999 March 2000 17. Air Force Research Laboratory A Process Control and Diagnosis Approach to Indications and Warning of Attacks on Computer Networks N. Ye (Principal Investigator) June 1998 September 1999 18. National Institute of Standards and Technology Simulation of Manual Assembly Operations N. Ye (Principal Investigator) May 1999 September 1999 19. Air Force Office of Scientific Research Model-based Assessment of Campaign Plan Performance under Uncertainty N. Ye (Principal Investigator) January 1998 December 1998 20. National Institute of Standards and Technology Production Systems Engineering Information Search and Archive N. Ye (Principal Investigator) June 1998 September 1998 21. National Institute of Standards and Technology Production Systems Engineering N. Ye (Principal Investigator) January 1998 September 1998 22. National Institute of Standards and Technology An Information Pipeline for Production Systems Engineering N. Ye (Principal Investigator) December 1997 September 1998 23. Motorola Manufacturing Research Center Confidence Assessment of Product Quality from Process Measurement N. Ye (Principal Investigator) August 1997 August 1998 24. National Science Foundation Evaluation of System Integration Solutions for Computer Aided Assembly Planning N. Ye (Principal Investigator) July 1997 June 1998 25. National Institute of Standards and Technology Production Systems Engineering in Virtual Environments N. Ye (Principal Investigator) June 1997 August 1997 26. National Science Foundation A Cognitive Engineering Approach to the Interface Design of Decision Support Systems for Machine Fault Diagnosis N. Ye (Principal Investigator) September 1992 February 1996 27. Office of Naval Research MURI: Three-Dimensional Visualization and Interaction for the Design of Large-Scale Manufactured Objects N. Ye (co-PI) October 1992 September 1995 28. National Science Foundation Research Experience for Undergraduates N. Ye (Principal Investigator) March 1993 February 1994 (Last updated on September 5, 2007) Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Ye, Nong Home Directory and Research Directory Faculty Ye, Nong Professor Nong Ye received her Ph.D. degree (1991) in Industrial Engineering from Purdue University, and her M.S. degree (1988) and B.S. degree (1985) in Computer Science from the Chinese Academy of Sciences and Peking University, both in P. R. China. Dr. Yes past and current research activities have received over $8M external funding support and have produced seventy-eight journal papers and three books. Yes research focuses on modeling, mining and analyzing massive data to understand dynamics of computer and network systems and biological brain systems which will be used to develop system solutions to improve the design of information systems for Quality of Service (QoS) and Quality of Information Assurance (QoIA). Her recent research involves understanding statistical/mathematical data characteristics of normal use and attack activities on computers and networks to develop intrusion detection algorithms, understanding cause-effect dynamics of service activities, resource state and QoS performance on computers and networks to enable QoS adaptation and tradeoff between QoS and QoIA, and understanding neural population dynamics of biological brain for motor movements to develop human-brain interface applications for assisting people with disabilities in motor functions. nongye@asu.edu 480-965-7812 BYENG 482 http://enpub.fulton.asu.edu/ye/ Education Ph.D., Industrial Engineering, Purdue University, 1991 M.S., Computer Science, The Chinese Academy of Sciences, Beijing, China, 1988 B.S., Computer Science, Peking University, Beijing, China, 1985 Research interests Information and systems assurance, data mining and modeling, quality optimization and control of system operations Key activities Associate Editor, Information, Knowledge, Systems Management Associate Editor, IEEE Transactions on Systems, Man, & Cybernetics, Part A Editorial Boards: International Journal of Human-Computer Interaction ; Information, Knowledge, Systems Management October 7, 2015 CIDSE CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4352.txt b/src/data/compiled_bios/4352.txt new file mode 100644 index 0000000000..57d086b9be --- /dev/null +++ b/src/data/compiled_bios/4352.txt @@ -0,0 +1 @@ +Fran Zenzen, Professor of Practice Two-time Arizona State University graduate Dr. Fran Zenzen was appointed chief operating officer of the ASU Research Enterprise (ASURE) in May 2014. At ASURE she oversees all business development, research and operational functions. Zenzen brings to ASURE more than 30 years of experience in defense and security. Prior to joining ASURE she was director of business development at General Dynamics, focusing on soldier systems and intelligence applications. In addition to her responsibilities at ASURE, Zenzen regularly teaches at ASU and is active in alumni affairs. Zenzen is a member of the Institute of Electrical Engineers, Society of Women Engineers, Institute of Industrial Engineers, American Society of Quality, and the Institute for Operations Research and the Management Sciences. She is a published author and regularly is requested to speak at technical conferences focused on software reliability modeling and subcontractor performance. She received her Ph.D. in industrial engineering and reliability from Arizona State University and also has an MBA from ASU, a masters in electrical engineering from Syracuse and a bachelors in electrical engineering from Lehigh University. Education Ph.D., Industrial Engineering and Reliability, Arizona State University MBA, Arizona State University M.E., Electrical Engineering, Syracuse University B.S., Electrical Engineering, Lehigh University July 6, 2016 CIDSE Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Fran Zenzen, Professor of Practice Home Zenzen, Fran Two-time Arizona State University graduate Dr. Fran Zenzen was appointed chief operating officer of the ASU Research Enterprise (ASURE) in May 2014. At ASURE she oversees all business development, research and operational functions. Zenzen brings to ASURE more than 30 years of experience in defense and security. Prior to joining ASURE she was director of business development at General Dynamics, focusing on soldier systems and intelligence applications. In addition to her responsibilities at ASURE, Zenzen regularly teaches at ASU and is active in alumni affairs. Zenzen is a member of the Institute of Electrical Engineers, Society of Women Engineers, Institute of Industrial Engineers, American Society of Quality, and the Institute for Operations Research and the Management Sciences. She is a published author and regularly is requested to speak at technical conferences focused on software reliability modeling and subcontractor performance. She received her Ph.D. in industrial engineering and reliability from Arizona State University and also has an MBA from ASU, a masters in electrical engineering from Syracuse and a bachelors in electrical engineering from Lehigh University. Education Ph.D., Industrial Engineering and Reliability, Arizona State University MBA, Arizona State University M.E., Electrical Engineering, Syracuse University B.S., Electrical Engineering, Lehigh University July 6, 2016 CIDSE CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4353.txt b/src/data/compiled_bios/4353.txt new file mode 100644 index 0000000000..d56bf3f895 --- /dev/null +++ b/src/data/compiled_bios/4353.txt @@ -0,0 +1 @@ +Zhang, Yu (Tony) Yu (Tony) Zhang, an assistant professor in computer science and engineering, earned his masters and Ph.D. in computer science from the University of Tennessee, Knoxville. Previously, Zhang worked as a post-doctoral research scholar and a research assistant professor at Arizona State University. Zhangs research interests include distributed robot systems, human-robot interaction, multi-agent systems, human-aware planning, multi-agent planning and automated planning and scheduling. Yu.Zhang.442@asu.edu Education Ph.D., University of Tennessee, Knoxville Research interests Multi-agent systems, human-aware planning, multi-agent planning, automated planning and scheduling, distributed robot systems, human-robot interaction December 11, 2017 Monique Clement Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Zhang, Yu (Tony) Home Directory and Research Directory Faculty Zhang, Yu (Tony) Yu (Tony) Zhang, an assistant professor in computer science and engineering, earned his masters and Ph.D. in computer science from the University of Tennessee, Knoxville. Previously, Zhang worked as a post-doctoral research scholar and a research assistant professor at Arizona State University. Zhangs research interests include distributed robot systems, human-robot interaction, multi-agent systems, human-aware planning, multi-agent planning and automated planning and scheduling. Yu.Zhang.442@asu.edu Education Ph.D., University of Tennessee, Knoxville Research interests Multi-agent systems, human-aware planning, multi-agent planning, automated planning and scheduling, distributed robot systems, human-robot interaction December 11, 2017 Monique Clement CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4354.txt b/src/data/compiled_bios/4354.txt new file mode 100644 index 0000000000..be9e99371b --- /dev/null +++ b/src/data/compiled_bios/4354.txt @@ -0,0 +1 @@ +Ming Zhao Ming Zhao is an associate professor of the ASU School of Computing, Informatics, and Decision Systems Engineering. Before joining ASU, he was an associate professor of the School of Computing and Information Sciences (SCIS) at Florida International University. He directs the Research Laboratory for Virtualized Infrastructure, Systems, and Applications (VISA). His research interests are in distributed/cloud computing, big data, high-performance computing, autonomic computing, virtualization, storage systems and operating systems. He was awarded a National Science Foundation (NSF) Faculty Early Career Development (CAREER) Award in 2013 and he received the ASEE Air Force Summer Faculty Fellowship in 2013, the VMware Faculty Award in 2014, the FIU SCIS Excellence in Mentoring award, the FIU SCIS Excellence in Research award, and the Best Paper award of the International Conference on Autonomic Computing in 2007. He received his Ph.D. in electrical and computer engineering from the University of Florida, and his Bachelor and masters degrees in automation/pattern recognition and intelligent systems from Tsinghua University. Office: BYENG 412 mingzhao@asu.edu 480-727-7850 visa.lab.asu.edu Education Ph.D., Electrical and Computer Engineering, University of Florida, 2008 M.S., Pattern Recognition and Intelligent Systems, Automation, Tsinghua University, China, 2001 B.S., Automation, Tsinghua University, China, 1999 Research interests Distributed/cloud computing, big data, high-performance computing, autonomic computing, virtualization, storage systems, operating systems Honors and awards VMware Faculty Award, 2014 U.S. Air Force Visiting Faculty Fellowship, 2014 National Science Foundation (NSF) Faculty Early Career Development (CAREER) Award, 2013 U.S. Air Force Summer Faculty Fellowship, 2013 Best Student Paper Award of 7th International Conference on Autonomic Computing (ICAC), 2007 Key activities Program Committee Chair for USENIX FeedbackComputing, 2013 Program Committee Member for ICAC, ICDCS, CLOUD, CCGrid, BigData, BDSE, HPDC, and HPCC Reviewer for ACM TAAS, IEEE TC, IEEE TCC, IEEE TCST, ACM TECS, IEEE, TPDS, FGCS, JPDC, and Cluster Computing January 15, 2016 Erik Wirtanen Toggle navigation Skip to content About Projects People Publications Education Resources Welcome to the Research Laboratory for Virtualized Infrastructure, Systems, and Applications (VISA) at Arizona State University (ASU). Projects Our team current works on a variety of exciting projects on cloud, HPC, and big data systems as well as operating systems and storage systems in general. Publications EuroSys18: RTVirt: Enabling Time-sensitive Computing on Virtualized Systems through Cross-layer CPU Scheduling, EDGE18: Are Existing Knowledge Transfer Techniques Effective For Deep Learning on Edge Devices? About Us VISA Lab is a place for fun and productivity! We are looking for talented students to join us! We have multiple PhD positions with full scholarships and paid undergraduate positions. LATEST NEWS ASU Researcher Shifts Big Data Computing Into High Gear Arizona State University Associate Professor Ming Zhao leads the development of GEARS, a big data computing infrastructure designed for todays demanding big data challenges. Cloud Computing Performance, Satisfaction Guaranteed Dr. Ming Zhao brings cloud computing service companies a step closer to providing reliable performance guarantees. Distributed Deep Learning Published on EDGE18 Raginis EDGE18 paper, Are Existing Knowledge Transfer Techniques Effective For Deep Learning on Edge Devices? studies distributed deep learning techniques that exploit the knowledge trained from a deep network in the cloud to improve the speed and accuracy of small networks on the devices. Congrats on Raginis master degree Ragini Sharma successfully defended her master thesis on A Study on Knowledge Transfer Techniques to Support Deep Learning on Edge Devices. Her work studies the use of knowledge transfer techniques to support distributed deep learning that exploits the knowledge from deep networks trained in the cloud to improve the accuracy and speed of small networks [] RTVirt published on EuroSys RTVirt is a new solution for enabling time-sensitive applications (such as emergency planning and management applications) on virtualized systems (such as public and private cloud systems) through cross-layer scheduling. It allows the two levels of schedulers on a virtualized system to communicate key scheduling information and coordinate on the scheduling decisions. It enables optimal multiprocessor [] GEARS is online to support energy-efficient big-data research GEARS is an enerGy-Efficient big-datA Research System at Arizona State University, for studying heterogeneous and dynamic data by employing heterogeneous computing and storage resources and co-designing the software and hardware components of the system. GEARS is sponsored by National Science Foundation awardCNS-1629888. Read more about it here. HPDC18 Call for Papers, Workshop Proposals, and Sponsors The 27th ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC18) is calling for papers, workshop proposals, and sponsors! HPDC isthe premier annual conference for presenting the latest research on the design, implementation, evaluation, and the use of parallel and distributed systems for high-end computing. It will be hosted at ASU during the week [] DataStorm: new NSF-sponsored project on data-enabled disaster management VISA lab and its collaborators are awarded a grant to support the research on DataStorm A Data Enabled System for End-to-End Disaster Planning and Response, by National Science Foundation Runyu and Qirui tied the knot! Congrats! Congratulations to Runyu and Qirui on their wedding! HPDC16 paper on big-data I/O Congratulations to Yiqifor hisnew HPDC16 papers on IBIS: Interposed Big-data I/O Scheduler! Previous Next BYENG 460, 699 S Mill Ave, Tempe, AZ 85281 visalab.asu@gmail.com (480) 965-9038 Copyright ASU VISA Lab. All rights reserved. Zerif Lite powered by WordPress Toggle navigation Skip to content About Projects People Publications Education Resources Welcome to the Research Laboratory for Virtualized Infrastructure, Systems, and Applications (VISA) at Arizona State University (ASU). Projects Our team current works on a variety of exciting projects on cloud, HPC, and big data systems as well as operating systems and storage systems in general. Publications EuroSys18: RTVirt: Enabling Time-sensitive Computing on Virtualized Systems through Cross-layer CPU Scheduling, EDGE18: Are Existing Knowledge Transfer Techniques Effective For Deep Learning on Edge Devices? About Us VISA Lab is a place for fun and productivity! We are looking for talented students to join us! We have multiple PhD positions with full scholarships and paid undergraduate positions. LATEST NEWS ASU Researcher Shifts Big Data Computing Into High Gear Arizona State University Associate Professor Ming Zhao leads the development of GEARS, a big data computing infrastructure designed for todays demanding big data challenges. Cloud Computing Performance, Satisfaction Guaranteed Dr. Ming Zhao brings cloud computing service companies a step closer to providing reliable performance guarantees. Distributed Deep Learning Published on EDGE18 Raginis EDGE18 paper, Are Existing Knowledge Transfer Techniques Effective For Deep Learning on Edge Devices? studies distributed deep learning techniques that exploit the knowledge trained from a deep network in the cloud to improve the speed and accuracy of small networks on the devices. Congrats on Raginis master degree Ragini Sharma successfully defended her master thesis on A Study on Knowledge Transfer Techniques to Support Deep Learning on Edge Devices. Her work studies the use of knowledge transfer techniques to support distributed deep learning that exploits the knowledge from deep networks trained in the cloud to improve the accuracy and speed of small networks [] RTVirt published on EuroSys RTVirt is a new solution for enabling time-sensitive applications (such as emergency planning and management applications) on virtualized systems (such as public and private cloud systems) through cross-layer scheduling. It allows the two levels of schedulers on a virtualized system to communicate key scheduling information and coordinate on the scheduling decisions. It enables optimal multiprocessor [] GEARS is online to support energy-efficient big-data research GEARS is an enerGy-Efficient big-datA Research System at Arizona State University, for studying heterogeneous and dynamic data by employing heterogeneous computing and storage resources and co-designing the software and hardware components of the system. GEARS is sponsored by National Science Foundation awardCNS-1629888. Read more about it here. HPDC18 Call for Papers, Workshop Proposals, and Sponsors The 27th ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC18) is calling for papers, workshop proposals, and sponsors! HPDC isthe premier annual conference for presenting the latest research on the design, implementation, evaluation, and the use of parallel and distributed systems for high-end computing. It will be hosted at ASU during the week [] DataStorm: new NSF-sponsored project on data-enabled disaster management VISA lab and its collaborators are awarded a grant to support the research on DataStorm A Data Enabled System for End-to-End Disaster Planning and Response, by National Science Foundation Runyu and Qirui tied the knot! Congrats! Congratulations to Runyu and Qirui on their wedding! HPDC16 paper on big-data I/O Congratulations to Yiqifor hisnew HPDC16 papers on IBIS: Interposed Big-data I/O Scheduler! Previous Next BYENG 460, 699 S Mill Ave, Tempe, AZ 85281 visalab.asu@gmail.com (480) 965-9038 Copyright ASU VISA Lab. All rights reserved. Zerif Lite powered by WordPress Toggle navigation Skip to content About Projects People Publications Education Resources Welcome to the Research Laboratory for Virtualized Infrastructure, Systems, and Applications (VISA) at Arizona State University (ASU). Projects Our team current works on a variety of exciting projects on cloud, HPC, and big data systems as well as operating systems and storage systems in general. Publications EuroSys18: RTVirt: Enabling Time-sensitive Computing on Virtualized Systems through Cross-layer CPU Scheduling, EDGE18: Are Existing Knowledge Transfer Techniques Effective For Deep Learning on Edge Devices? About Us VISA Lab is a place for fun and productivity! We are looking for talented students to join us! We have multiple PhD positions with full scholarships and paid undergraduate positions. LATEST NEWS ASU Researcher Shifts Big Data Computing Into High Gear Arizona State University Associate Professor Ming Zhao leads the development of GEARS, a big data computing infrastructure designed for todays demanding big data challenges. Cloud Computing Performance, Satisfaction Guaranteed Dr. Ming Zhao brings cloud computing service companies a step closer to providing reliable performance guarantees. Distributed Deep Learning Published on EDGE18 Raginis EDGE18 paper, Are Existing Knowledge Transfer Techniques Effective For Deep Learning on Edge Devices? studies distributed deep learning techniques that exploit the knowledge trained from a deep network in the cloud to improve the speed and accuracy of small networks on the devices. Congrats on Raginis master degree Ragini Sharma successfully defended her master thesis on A Study on Knowledge Transfer Techniques to Support Deep Learning on Edge Devices. Her work studies the use of knowledge transfer techniques to support distributed deep learning that exploits the knowledge from deep networks trained in the cloud to improve the accuracy and speed of small networks [] RTVirt published on EuroSys RTVirt is a new solution for enabling time-sensitive applications (such as emergency planning and management applications) on virtualized systems (such as public and private cloud systems) through cross-layer scheduling. It allows the two levels of schedulers on a virtualized system to communicate key scheduling information and coordinate on the scheduling decisions. It enables optimal multiprocessor [] GEARS is online to support energy-efficient big-data research GEARS is an enerGy-Efficient big-datA Research System at Arizona State University, for studying heterogeneous and dynamic data by employing heterogeneous computing and storage resources and co-designing the software and hardware components of the system. GEARS is sponsored by National Science Foundation awardCNS-1629888. Read more about it here. HPDC18 Call for Papers, Workshop Proposals, and Sponsors The 27th ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC18) is calling for papers, workshop proposals, and sponsors! HPDC isthe premier annual conference for presenting the latest research on the design, implementation, evaluation, and the use of parallel and distributed systems for high-end computing. It will be hosted at ASU during the week [] DataStorm: new NSF-sponsored project on data-enabled disaster management VISA lab and its collaborators are awarded a grant to support the research on DataStorm A Data Enabled System for End-to-End Disaster Planning and Response, by National Science Foundation Runyu and Qirui tied the knot! Congrats! Congratulations to Runyu and Qirui on their wedding! HPDC16 paper on big-data I/O Congratulations to Yiqifor hisnew HPDC16 papers on IBIS: Interposed Big-data I/O Scheduler! Previous Next BYENG 460, 699 S Mill Ave, Tempe, AZ 85281 visalab.asu@gmail.com (480) 965-9038 Copyright ASU VISA Lab. All rights reserved. Zerif Lite powered by WordPress Sign In / Sign Out Sign In Menu ASU Home My ASU Colleges & Schools Arts and Sciences Business Design and the Arts Education Engineering Future of Innovation in Society Graduate Health Solutions Honors Journalism Law Nursing and Health Public Service and Community Solutions Sustainability University College Thunderbird School of Global Management Map & Locations Map Tempe West Polytechnic Downtown Phoenix Online and Extended Lake Havasu Skysong Research Park Washington D.C. China Directory Search Search Menu Home About Directors Welcome Our Vision and Mission Annual Reports Enrollment and Degrees Awarded For Students Prospective Students Preparing for College Undergraduate Admissions Graduate Admissions Undergraduate Programs Majors Student Resources Internships Accelerated Degree Programs (4+1) Certificate Programs Minor Undergraduate Forms Graduate Programs Computer Engineering Computer Science Industrial Engineering Robotics and Autonomous Systems Software Engineering Graduate Certificate: Lean Six Sigma Black Belt Newly Admitted Student Information Handbooks Forms and Procedures Course Permission Requests Teaching/Research Assistantships, Fellowships & Awards Alumni Online Programs Advising Undergraduate Advising Graduate Advising Schedule an Appointment with a CIDSE Advisor Current Course Catalogs CEN courses CPI courses CSE courses CST courses IEE courses SER courses CIDSE Virtual Lab Prerequisite Override Requests Directory Faculty Faculty by Research Area Lecturers and Research Faculty Ph.D. Students Emeritus CIDSE Academic Leadership Team Staff Research Faculty Publications Research Centers Research Advancement Research Briefs Research Labs Major Research Areas Computational Intelligence and Algorithms Data Management and Information Assurance Network Science and Systems Software and Systems Engineering News and Events Full Circle News Inner Circle News Hiring Outreach Intel at ASU Summer Camps Contact Ming Zhao Home Directory and Research Directory Faculty Zhao, Ming Ming Zhao is an associate professor of the ASU School of Computing, Informatics, and Decision Systems Engineering. Before joining ASU, he was an associate professor of the School of Computing and Information Sciences (SCIS) at Florida International University. He directs the Research Laboratory for Virtualized Infrastructure, Systems, and Applications (VISA) . His research interests are in distributed/cloud computing, big data, high-performance computing, autonomic computing, virtualization, storage systems and operating systems. He was awarded a National Science Foundation (NSF) Faculty Early Career Development (CAREER) Award in 2013 and he received the ASEE Air Force Summer Faculty Fellowship in 2013, the VMware Faculty Award in 2014, the FIU SCIS Excellence in Mentoring award, the FIU SCIS Excellence in Research award, and the Best Paper award of the International Conference on Autonomic Computing in 2007. He received his Ph.D. in electrical and computer engineering from the University of Florida, and his Bachelor and masters degrees in automation/pattern recognition and intelligent systems from Tsinghua University. Office: BYENG 412 mingzhao@asu.edu 480-727-7850 visa.lab.asu.edu Education Ph.D., Electrical and Computer Engineering, University of Florida, 2008 M.S., Pattern Recognition and Intelligent Systems, Automation, Tsinghua University, China, 2001 B.S., Automation, Tsinghua University, China, 1999 Research interests Distributed/cloud computing, big data, high-performance computing, autonomic computing, virtualization, storage systems, operating systems Honors and awards VMware Faculty Award, 2014 U.S. Air Force Visiting Faculty Fellowship, 2014 National Science Foundation (NSF) Faculty Early Career Development (CAREER) Award, 2013 U.S. Air Force Summer Faculty Fellowship, 2013 Best Student Paper Award of 7th International Conference on Autonomic Computing (ICAC), 2007 Key activities Program Committee Chair for USENIX FeedbackComputing, 2013 Program Committee Member for ICAC, ICDCS, CLOUD, CCGrid, BigData, BDSE, HPDC, and HPCC Reviewer for ACM TAAS, IEEE TC, IEEE TCC, IEEE TCST, ACM TECS, IEEE, TPDS, FGCS, JPDC, and Cluster Computing January 15, 2016 Erik Wirtanen CIDSE in the News Students utilize informed decision-making skills to make a difference Students fresh perspectives lead ASU researcher to success Predicting the future with better data visualization Changing the game: Best Paper models cyberwarfare game theory Meet the Fulton Schools outstanding graduates of Fall 2018 CIDSE on Facebook ASU School of Computing, Informatics, and Decision Systems Engineering CIDSE Main Office 480-965-3190 Brickyard Engineering (BYENG) 553 699 S Mill Ave, Tempe,AZ 85281 Academic Advising Center Tempe 480-965-3199 Centerpoint (CTRPT) 105 660 S Mill Ave, Tempe,AZ 85281 Academic Advising Center (Online Degree Programs) Polytechnic 480-727-3520 Picacho Hall (PICHO) 245 7151 E. Sonoran Arroyo Mall, Mesa,AZ 85212 CIDSE IT Services http://links.asu.edu/cidseit/ ASU is #1 in the U.S. for Innovation Copyright & Trademark Accessibility Privacy Jobs Emergency Contact ASU diff --git a/src/data/compiled_bios/4355.txt b/src/data/compiled_bios/4355.txt new file mode 100644 index 0000000000..a0b0986ab7 --- /dev/null +++ b/src/data/compiled_bios/4355.txt @@ -0,0 +1 @@ + Giuseppe Ateniese THE DAVID AND GG FARBER ENDOWED CHAIR IN COMPUTER SCIENCE, PROFESSOR AND DIRECTOR Building: North Building Room: 302 Phone: +1 (201) 216-3741 Email: gatenies@stevens.edu Education PhD in Computer Science, University of Genoa (Italy), 2000 Laurea (M.Sc.) in Computer Science, University of Salerno (Italy), 1995 I'm blessed to have had Gene Tsudik as my PhD advisor and Alfredo De Santis as my M.Sc. advisor. Research Cloud Security, Cybersecurity, and Applied Cryptography. Papers Google Scholar DBLP Some recent news about my research: ---BLOCKCHAIN Blockchain Just Got Much More Powerful (Stevens) Accenture Launches A Way To Edit Blockchains (Forbes) A blockchain you can edit? (Banking Exchange) Accenture to unveil blockchain editing technique (Finantial Times) Accenture breaks blockchain taboo with editing system (Reuters) Inside the latest blockchain battle (VIDEO) German , French (Le Monde), Italian Downside of Bitcoin: A Ledger That Cant Be Corrected (NYT) Is an Editable Blockchain the Future of Finance? (MIT Tech Review) Accenture announces creation of an editable blockchain, but Bitcoin users need not worry (TechRepublic) Accenture Debuts Prototype of Editable Blockchain for Enterprise and Permissioned Systems (Accenture) New blockchain services expected to entice CIOs to test waters ( https://searchcio.techtarget.com/feature/New-blockchain-services-expected-to-entice-CIOs-to-test-waters ) ---AI AND SECURITY Stevens: Why You Should Worry About This New AI-Powered Cyberattack ( https://www.stevens.edu/news/why-you-should-worry-about-new-ai-powered-cyberattack ) ScienceMag :Artificial intelligence just made guessing your password a whole lot easier ( http://www.sciencemag.org/news/2017/09/artificial-intelligence-just-made-guessing-your-password-whole-lot-easier ) Stevens : Powerful Password Crackers May Be Closer Than You Think, Say Stevens Institute of Technology Researchers ( https://www.stevens.edu/news/powerful-password-crackers-may-be-closer-you-think-say-stevens-institute-technology-researchers ) The Register : AI slurps, learns millions of passwords to work out which ones you may use next ( https://www.theregister.co.uk/2017/09/20/researchers_train_ai_bots_to_crack_passwords/ ) MIT Technology Review : A Pair of AIs Have Become Very Good at Guessing Your Passwords ( https://www.technologyreview.com/the-download/608897/a-pair-of-ais-have-become-very-good-at-guessing-your-passwords/ ) Threatpost : DEEP-LEARNING PASSGAN TOOL IMPROVES PASSWORD GUESSING ( https://threatpost.com/deep-learning-passgan-tool-improves-password-guessing/128039/ ) SecurityIntelligence - IBM: Generative Adversarial Networks and Cybersecurity: Part 2 PassGAN: Cracking Passwords With Generative Adversarial Networks ( https://securityintelligence.com/generative-adversarial-networks-and-cybersecurity-part-2/ ) DarkReading : PassGAN: Password Cracking Using Machine Learning ( https://www.darkreading.com/analytics/passgan-password-cracking-using-machine-learning/d/d-id/1329964?_mc=rss_x_drr_edt_aud_dr_x_x-rss-simple ) Inverse : Researchers Show How A.I. Is the End of Passwords as We Know Them ( https://www.inverse.com/article/36604-ai-cracking-passwords ) Sensormag : Artificial Intelligence, Slayer Of Passwords ( https://www.sensorsmag.com/embedded/artificial-intelligence-slayer-passwords ) TechTarget : How machine learning-powered password guessing impacts security ( https://searchsecurity.techtarget.com/tip/How-machine-learning-powered-password-guessing-impacts-security ) Lastpass and Dashlane (blogs) Selected as the "Coolest Hack of 2017" by DarkReading: https://www.darkreading.com/threat-intelligence/the-coolest-hacks-of-2017/d/d-id/1330699 ---CLOUD SECURITY Top 10 Ways to Secure Big Data ( https://www.meritalk.com/articles/top-10-ways-to-secure-big-data/ ) The Cloud and Mobile Revolution: Whats Next? ( https://www.foxbusiness.com/features/the-cloud-and-mobile-revolution-whats-next ) General Information Giuseppe Ateniese is the David and GG Farber Endowed Chair in Computer Science and department chair at Stevens Institute of Technology. He was with Sapienza-University of Rome (Italy) and Assistant/Associate Professor at Johns Hopkins University (USA), and one of the founders of the JHU Information Security Institute. He was a researcher at IBM Zurich Research lab (Switzerland) and scientist at the Information Sciences Institute of the University of Southern California (USA). He also briefly worked as visiting professor at Microsoft in Redmond (USA). He received the NSF CAREER Award for his research in privacy and security, and the Google Faculty Research Award, the IBM Faculty Award, and the IEEECISTC Technical Recognition Award for his research on cloud security. He has contributed to areas such as proxy re-cryptography, anonymous communication, two-party computation, secure storage, and provable data possession. He has served in the program committees of international security conferences (such as ACM CCS, IEEE Oakland, and NDSS) and as panelist of the US National Science Foundation. He is currently working on cloud security and machine learning applied to security and intelligence issues for which he received an IBM SUR Award. He is also investigating new security applications for decentralized computing based on the blockchain/bitcoin technology. Joined Stevens in January 2016. Investiture ceremony on December 5, 2016. Research and Innovation Foundational Research Pillars Open Positions in Computer Science at Stevens My GPG/PGP Public Key diff --git a/src/data/compiled_bios/4356.txt b/src/data/compiled_bios/4356.txt new file mode 100644 index 0000000000..334b951c54 --- /dev/null +++ b/src/data/compiled_bios/4356.txt @@ -0,0 +1 @@ + Antonio Barbalace Assistant Professor Department of Computer Science Schaefer School of Engineering & Science Stevens Institute of Technology 304 North Building Hoboken, NJ 07030 abarbala@stevens.edu phone: +1 (201) 216-5502 I am Antonio Barbalace, Assistant Professor with the Department of Computer Science in the Schaefer School of Engineering & Science , Stevens Institute of Technology . My research focuses on system software . Specifically, operating systems (Linux, DragonFlyBSD, Darwin, L4), virtualization environments (QEMU, QEMU/KVM, and Xen), and run-times/compilers/linkers (LLVM, gcc, ld, gold) for parallel, distributed and heterogeneous computer architectures (including near data processing platforms). My interests include general-purpose and real-time scheduling, synchronization protocols, distributed algorithms, networking, and storage systems. Performance analysis is my favorite way of investigation using tracing or simulation tools. Lately, I am investigating power efficiency, fault-tolerance, and security. I am also interested in industrial control systems, signal and image processing. I am looking for talented (BS, MS, PhD) students to join my group at Stevens! If you like to hack system and application code write me an email or stop by my office! Education and Experience Before moving to Stevens, I was a Principal Research Scientist and Manager at the Germen Research Center of Huawei in Munich, working within the OS and Virtualization team of the IT Software Infrastructure Lab (director Dr. Goetz Brasche). There, I started the work on the NDP Operating System, some real-time projects, and established a new microkernel hypervisor to be formally verified. Prior to the German Research Center, I spent 5 years as a Research Assistant Professor, and before a postdoc, at the Systems Software Research Group of ECE Virginia Tech, working closely with my mentor and supervisor Prof. Binoy Ravindran. At VT, I started with Prof. Ravindran the family of Popcorn projects (Linux, Xen, LLVM) which looked at how to manage hardware heterogeneity. At VT I also worked on other real-time and hypervisor projects -- financed mainly by ONR and ASFOR. Before moving to Virginia in November 2011, I was a Research Staff Member at the Italian National Research Council ( CNR ) in Padova, Italy, working at the big physics experiment RFX . I graduated with my PhD at the end of 2010 from the University of Padova under the supervision of Professors Giuseppe Zollino, Adriano Luchetta and Gabriele Manduchi. Linkedin Profile Publications Google Scholar Profile Microsoft Academic Profile DBLP Current Projects PipeOS (More info to come) AIsched (More info to come) Past Projects Near data processing OS (Virginia Tech) Popcorn Linux and Compiler Framework (Virginia Tech) Popcorn Xen (Virginia Tech) Fault Tolerant Linux (FT-Popcorn) (Virginia Tech) cthread (Virginia Tech) linuxmf-emu (Virginia Tech) KairosVM (Virginia Tech) ChronOS Linux (Virginia Tech) Resilire (Virginia Tech) Linux TM (University of Padova) SCHEDsimula, Scheduler Simulator (Euratom) BaseLib/MARTe, Multi Application Real Time executor (University of Padova) Linux/RTAI Live Distribution Contributed Projects MDSplus FreeRTOS UBOOT RTAI ADEOS Current Students --- Past Students Anthony Carno PhD, Emulation and DBT for anytime migration in Popcorn Linux OS Ho-Ren Chuang PhD, Shared-something in Popcorn Linux OS Christopher Jelesnianski PhD, Runtime/compiler/linker for heterogeneous platforms Rob Lyerly PhD, Scheduling in heterogeneous-ISA OS-capable and CPU-GPU platforms Yuzhong Wen MS, Replicated process execution on a replicated-kernel OS Xiaolong Wu PhD, Security through Heterogeneous Multivariant Execution Saif Ansary MS, CISCO Systems, San Jose, CA, US Sharath Bhat MEng, Intel Corporation, Denver, CO, US Michael Drescher MS, Zeta Associates, Fairfax, VA, US Peng Lu, Citibank, New York, New York, US David Katz MS, The Johns Hopkins University Applied Physics Laboratory, Laurel, MA, US Charlie Kendir BS, L3 Communication, Arlington, TX, US Enrico Marini MS, Reply SpA, Padova, Italy Andy Martin BS, Qualcomm, NC, US Akshay Ravichandran MS, Huge Network, WDC, US Ajithchandra Saya MEng, Intel Corporation, Austin, TX, US Ben Shelton MS, Intel Corporation, Austin, TX, US Updated on October 1 st 2018 diff --git a/src/data/compiled_bios/4357.txt b/src/data/compiled_bios/4357.txt new file mode 100644 index 0000000000..3048c45bc6 --- /dev/null +++ b/src/data/compiled_bios/4357.txt @@ -0,0 +1 @@ + Sandeep Bhatt TEACHING PROFESSOR Building: North Building Room: 221 Phone: +1 (201) 216-8249 Email: sandeep.bhatt@stevens.edu Education Ph.D. (1984) Massachusetts Institute of Technology S.M. (1980) Massachusetts Institute of Technology S.B. (1978) Massachusetts Institute of Technology Professional Service Editorial Boards Journal of Interconnection Networks, 1999-2001. Discrete Mathematics and Theoretical Computer Science, 1996-1999. Theory of Computing Systems (formerly Mathematical Systems Theory), 1991-2000 SIAM Journal of Discrete Mathematics, 1995-1999 DIMACS (NSF S&T Center) Executive Commitee and Council, 1996-1999, 2004-2008 Organizer, Workshop on end-to-end traffic modeling and simiulations, October 1997 Steering Committee, Special Year on Networks, 1996-97. Steering Committee, Special Year on Parallel Algorithms, 1993-94. Organizer, DIMACS Parallel Implementation Challenge and Woorkshop, 1993. Program Committees International Conference on Parallel Processing, 2003. Chair, DARPA ISAT study on "Smart Data," 1998. Workshop, Randomized Parallel Algorithms, IPPS, 1996,1998. ACM Symposium on Parallel Algorithms and Architectures, 1995. Chair, IEEE Symposium on Parallel and Distributed Processing, 1993. ACM Symposium on Theory of Computing, 1993. AEEE Symposium on Parallel and Distributed Processing, 1992. Brown-MIT Conference on Advanved Research in VLSI, 1992. ACM Symposium on Parallel Algorithms and Architectures, 1992. Session Chair, Parallel Computation Networks, SIAM Annual Meeting, 1990. Appointments 2017 Teaching Professor, Computer Science, Stevens Institute of Technology. 2004 2016 Principal Research Scientist, Hewlett-Packard Labs, Princeton NJ. 2002 2004 Senior Research Scientist, Telcordia Technologies, Morristown NJ. 1999 2002 Director, Systems Performance, Akamai Technologies, Cambridge MA. 1992 1999 Director, Network Algorithms, Bell Communications Research, Morristown NJ. 1993 1999 Research Professor of Computer Science, Rutgers University, New Brunswick NJ. 1990 Visiting Associate Professor of Computer Science, California Institute ofTechnology, Pasadena CA. 1984 1992 Associate Professor of Computer Science, Yale University, New Haven CT. Grants, Contracts & Funds DARPA: Managing networks of firewalls using smart data, Telcordia Technologies, 1999- 2002. DARPA: Scalable Self-organizing Simulations (S3), DIMACS, (with Rutgers, Georgia Tech, Boston University and Dartmouth), 1996-99. ONR: Scalable Abstractions and Formal Methods for Computational Science, Rutgers, 1993-96. DARPA: Compiler Technology for Massively Parallel Architectures, Yale, 1991-94. NSF/DARPA Joint Initiative on Parallel Computing Theory, Algorithmic Issues for Very High-Level Parallel Programming, Yale, 1989-1992. AFOSR: Efficient Communication for Parallel Computing, Yale, 1989-1992. NSF: The Efficient Use of Parallel Computers, Yale, 1989-1992. NSF: Techniques for Graph Embedding, with Applications to Parallel Computing, Yale, 1986- 1989. Patents & Inventions Hierarchical Recursive Image Segmentation. Patent No. US8345974B2. Threat Exchange Information Protection. Patent No. US9143517B2. End-to-end Network Access Analysis. Patent No. US9253038B2. Identifying participants for collaboration in a Threat Exchange Community. Patent No. US9275348B2. Attack Notification. Patent No. US9456001B2. Selected Publications Journals S. N. Bhatt, P. Manadhata and L. Zomlot. (2014). "The Operational Role of Security Information and Event Management Systems in Security Operations Centers", IEEE Security and Privacy, IEEE. S.N. Bhatt, G. Bilardi and G. Pucci. "Area-Time Tradeoffs for Universal VLSI Circuits", Theoretical Computer Science, 408 (2-3), 143-150. W. Aiello, S.N. Bhatt, F. Chung, A. Rosenberg and R. Sitaraman. (2001). "Augmented Ring Networks", IEEE Transactions on Parallel and Distributed Systems , IEEE. 12 (6), 598-609. S.N. Bhatt, P. Liu and W. Aiello. (2001). "Tree Search on an Atomic Model for Message Passing", SIAM J. Computing, SIAM. 31 67-85. S.N. Bhatt and P. Liu. (2000). "Experiences with parallel N-body simulation", IEEE Transactions on Parallel and Distributed Systems, IEEE. 12 1306-1323. S.N. Bhatt, D. Greenberg, F.T. Leighton and Pangfeng Liu. (1999). "Tight bounds for on-line tree embeddings", SIAM Journal of Computing, SIAM. 29 474-491. M. Andrews, S.N. Bhatt and K. Perumalla. "TED models for ATM Internetworks", ACM SIGMETRICS Performance Evaluation Review, ACM. 25 (4), 12-21. S.N. Bhatt, G. Bilardi, K. Herley, G. Pucci, and A. Ranade. (1998). "Tight bounds on parallel list marking", J. Parallel and Distributed Computing , 51 (2), 75-88. S.N. Bhatt, R. Fujimoto, A. Ogielski and K. Perumalla. (1998). "Parallel simulation techniques for large-scale networks", IEEE Communications Special Issue, IEEE. 36. S.N. Bhatt, F. Chung, F.T. Leighton, and A.L. Rosenberg. (1997). "On Optimal Strategies for Cycle-Stealing in Networks of Workstations", IEEE Transactions on Computers, IEEE. 46 (5). S.N. Bhatt, F. Chung, J.W. Hong, F.T. Leighton, B. Obrenic, A.L. Rosenberg and E. Schwabe. (1996). "Optimal emulations by butterfly-like networks", J. ACM, ACM. 43 (2), 293-330. S.N. Bhatt, G. Bilardi, G. Pucci, A. Ranade, A.L. Rosenberg, and E. Schwabe. (1996). "On bufferless routing of variable length messages in leveled networks", IEEE Transactions on Computers, IEEE. 45. S.N. Bhatt, F. Chung, F.T. Leighton and A.L. Rosenberg. (1995). "Salvage embeddings of complete trees", SIAM Journal of Discrete Mathematics, SIAM. 8 (4), 617-637. S.N. Bhatt, G. Pucci, A. Ranade, and A.L. Rosenberg. (1993). "Scattering and gathering messages in interconnection networks", IEEE Transactions on Computers , IEEE. 42 938-949. S.N. Bhatt and Jin-Yi Cai. (1993). "Taking random walks to grow trees in hypercubes", J. ACM, ACM. 40 741-764. S.N. Bhatt, F. Chung, F.T. Leighton and A.L. Rosenberg. (Feb 1992). "Efficient embeddings of trees in hypercubes", SIAM J. Computing, SIAM. 21 (1), 151-162. S.N. Bhatt, F. Chung and A. Rosenberg. (1991). "Partitioning circuits for improved testability", Special issue on VLSI algorithms, Algorithmica, (6), 37-48. S.N. Bhatt and David S. Greenberg. (1991). "Routing multiple paths in hypercubes", Mathematical Systems Theory, (24), 295-321. S.N. Bhatt, F. Chung, F.T. Leighton and A.L. Rosenberg. (1989). "Universal graphs for bounded-degree trees and planar graphs", SIAM Journal on Discrete Mathematics, SIAM. (2), 145-155. S.N. Bhatt and S.S. Cosmadakis. (1987). "The complexity of minimizing wire lengths for VLSI layouts", Information Processing Letters, (25). S.N. Bhatt and C.E. Leiserson. (1984). "How to assemble tree machines", F. Preparata, Advances in Computing Research, JAI Press. 2. B.S. Baker, S.N. Bhatt and F.T. Leighton. (1984). "An approximation algorithm for Manhattan routing", F. Preparata, Advances in Computing Research, JAI Press. 2. S.N. Bhatt and F.T. Leighton. (1984). "A framework for solving VLSI graph layout problems", Journal of Computer and System Sciences. Conference Proceedings S. Sundaramurthy, S.N. Bhatt and M. Eisenbarth. (2012). "Examining Intrusion Prevention System Events from Worldwide Networks", ACM CCS Badgers Workshop. ACM. S.N. Bhatt, J. Collinge, S. Haber, W. Horne, S. Pramanik, S. Rajagopalan, T. Sander and A. Singla. (2012). "Automated Sharing of Security Threats Across Organizations", Hewlett-Packard TechCon Proceedings. R. Bergman, S.N. Bhatt, W. Horne, R. Keshet, H. Nachlileli and M. Shaw. (2009). "Fully Automated, Perceptually Accurate Image Segmentation", HPICS . S.N. Bhatt, W. Horne and P. Rao. (2011). "On Computing Enterprise IT Risk Metrics", IFIP Security and Privacy Conference (SEC). Y. Beres, S.N. Bhatt, W. Horne and T. Schreider. (2009). "Applying Analytics to Risk Assessment: Security Control Portfolio Optimization", Hewlett-Packard TechCon Proceedings. S.N. Bhatt, S. Bandhakavi, C. Okita and P. Rao. (2009). "Analyzing end-to-end network reachability", IEEE Integrated Management Workshop. IEEE. S.N. Bhatt, C. Okita and P. Rao. (2008). "Metrics-based firewall management", Proceedings of Metricon. S.N. Bhatt, C. Okita and P. Rao. (2008). "Fast, Cheap and In Control: A Step towards pain-free security", 22nd Usenix LISA Conference. I. Band, S.N. Bhatt, W. Horne, J. Pato, S. Rajagopalan and P. Rao. (2006). "How to validate enterprise access policies", Hewlett-Packard TechCon Proceedings . S.N. Bhatt, S. Rajagopalan and P. Rao. (2003). "Automated Network Security Policy Enforcement using Smart Firewalls", Proceedings of MILCOM. S.N. Bhatt, S. Rajagopalan and P. Rao. (2003). "Federated security management for dynamic coalitions", DARPA Information Survivability Conference and Exposition. S.N. Bhatt, S. Even, D. Greenberg and R. Tayar. (2000). "Simple algorithms to traverse directed eulerian mazes", Proceedings of WG'2000, U. Brandes and D. Wagner (eds), Lecture Notes in Computer Science. Springer-Verlag. S.N. Bhatt, G. Bilardi and G. Pucci. (1999). "Area-universal circuits with constant slowdown", 20th Annual Conference on Advanced Research in VLSI. S.N. Bhatt, A. Konstantinou, S. Rajagopalan, and Y. Yemini. (1999). "Managing security in dynamic networks", Proceedings of the 13th Usenix LISA Conference. S.N. Bhatt, F. Hao and E. Zegura. (1998). "Performance of the PNNI protocol in large networks", Proceedings of the ATM'98 Workshop. S.N. Bhatt, L. Zhang, M. Andrews, W. Aiello and K. Krishnan. (1997). "A performance comparison of competitive on-line routing and state-dependent routing", Proceedings of the IEEE Globecomm Symposium. IEEE. V. Fernadez, N. Zabusky, S.N. Bhatt, P. Liu, and A. Gerasoulis. (1995). "Filament surgery and temporal grid adaptivity extensions to a parallel tree code for simulation and diagnostics in 3d vortex dynamics", Second International Workshop in Vortex Flow. S.N. Bhatt, P. Liu, V. Fernadez, and N. Zabusky. (1995). "Tree codes for vortex dynamics", International Parallel Processing Symposium . S.N. Bhatt, P. Liu, V. Fernandez and N. Zabusky. (1995). "Tree codes for vortex dynamics: Applications of a programming framework", Santa Barbara Workshop on solving irregular problems on parallel machines. S.N. Bhatt and P. Liu. (1995). "A framework for parallel N-body simulation", Proceedings of the International Conference on Parallel Processing ICCP. S.N. Bhatt, F. Chung, F.T. Leighton, and A.L. Rosenberg. (1994). "On Optimal Strategies for Cycle-Stealing in Networks of Workstations", Proceedings of the 6th Annual ACM Symposium on Parallel Algorithms and Architectures.. ACM. P. Liu and S.N. Bhatt. (1994). "Experiences with parallel N-body simulation", Proceedings of the 6th Annual ACM Symposium on Parallel Algorithms and Architectures. ACM. S.N. Bhatt, M. Chen, Y. Choo, J. Cowie, P. Liu and S. Pai. (1994). "Using object-oriented tools to develop challenging applications", Dual-Use Technologies and Applications Conference. S.N. Bhatt, M. Chen, J. Cowie, and C. Y. Lin. (1993). "Object-oriented support for adaptive methods on parallel machines", Proceedings of the 2nd Annual Object Oriented Numerics Conference OON-SKI. P. Liu, S.N. Bhatt and W. Aiello. (1993). "An atomic model for message passing", Proceedings of the 5th Annual ACM Symposium on Parallel Algorithms and Architectures. ACM. S.N. Bhatt, M. Chen, C.Y. Lin and P. Liu. (1992). "Programming large-scale N-body simulations", DARPA Software Technology Conference . DARPA. S.N. Bhatt, F. Chung, F.T. Leighton and A.L. Rosenberg. (1992). "Tolerating faults in synchronization networks", Conference on Parallel Processing: CONPAR 92 VAPP V. Springer-Verlag. S.N. Bhatt, M. Chen, C. Y. Lin, and Pangfeng Liu. (1992). "Abstractions for N-body simulations", Proceedings of the IEEE Scalable High Performance Computing Conference. IEEE. S.N. Bhatt, D.S. Greenberg, F.T. Leighton and P. Liu. (1991). "Tight bounds for online tree embeddings", Proceedings of the 2nd Annual ACM Symposium on Discrete Algorithms. ACM. S.N. Bhatt and D.S. Greenberg. (1990). "Routing multiple paths in hypercubes", Proceedings of the 2nd Annual Symposium on Parallel Algorithms and Architectures. ACM. S.N. Bhatt and Jin-Yi Cai. (1988). "Take a walk, grow a tree", Proceedings of the 29th Annual IEEE Symposium on Foundations of Computer Science . IEEE. A.G. Ranade, S.N. Bhatt and S.L. Johnsson. (1988). "The Fluent abstract machine", Proceedings of the Fifth MIT VLSI Conference on Advanced Research in VLSI. MIT Press. S.N.Bhatt, F.Chung, J.W. Hong, F.T. Leighton and A. Rosenberg. (1988). "Optimal simulations by butterfly networks", Proceedings of the 20th ACM Symposium on Theory of Computing. ACM. S.N. Bhatt, F. Chung and A. Rosenberg. (1986). "Partitioning circuits for improved testability", Proceedings of the Fourth MIT Conference on Advanced Research in VLSI. MIT Press. S.N. Bhatt, F. Chung, F.T. Leighton, and A. Rosenberg. (1986). "Optimal simulations of tree machines", Proceedings 27th Annual IEEE Symposium on Foundations of Computer Science. IEEE. B.S. Baker, S.N. Bhatt and F.T. Leighton. (1984). "An approximation algorithm for Manhattan routing", Proceedings of the Sixteenth Annual Symposium on Theory of Computing. ACM. S.N. Bhatt and C.E. Leiserson. (1982). "How to assemble tree machines", Fourteenth Annual Symposium on Theory of Computing. ACM. Book Chapters S.N. Bhatt, W. Horne, S. Sundaramurthy and L. Zomlot. (2016). "The role of processes in security operations centers", Psychosocial Dynamics of Cyber Security, S. Zaccaro, R. Dalal, L. Tetrick and J. Steinke , Routledge Press. Books Sandeep N. Bhatt, editor. (1997). Parallel Algorithms: Third DIMACS Implementation Challenge, AMS DIMACS series. Reports S.N. Bhatt, P. Manadhata and P. Rao. (2015). "Unearthing Enterprise Data Exfiltration Tunnels", Hewlett-Packard Technical Report . S. Bandhakavi, S.N. Bhatt, C. Okita and P. Rao. (2009). "End-to-end Network Access Analysis", Hewlett-Packard Technical Report . R. Bergman and S.N. Bhatt. (2008). "A Recursive Hybrid Image Segmentation Algorithm", Hewlett-Packard Technical Report . S.N. Bhatt, W. Horne, S. Rajagopalan and P. Rao. (2007). "Managing ACLs in a distributed system", Hewlett-Packard Technical Report . S.N. Bhatt and P. Rao. (2007). "Enhancements to the Vantage Firewall Analyzer", Hewlett-Packard Technical Report . S.N. Bhatt, W. Horne and P. Rao. (2007). "The Vantage Firewall Analyzer Prototype", Hewlett-Packard Technical Report . S.N. Bhatt and I. Ipsen. (1985). "How to embed trees in hypercubes", Yale University Research Report DCS/RR- 443. S.N. Bhatt and C.E. Leiserson. (1982). "Minimizing the longest edge in a VLSI layout", MIT VLSI Memo . (86). diff --git a/src/data/compiled_bios/4358.txt b/src/data/compiled_bios/4358.txt new file mode 100644 index 0000000000..03a8cf68ed --- /dev/null +++ b/src/data/compiled_bios/4358.txt @@ -0,0 +1 @@ + Eduardo Bonelli News PPDP 2018 paper. Recent Publications [ dblp ] Pablo Barenbaum, Eduardo Bonelli, Kareem Mohamed: Pattern Matching and Fixed Points: Resource Types and Strong Call-By-Need . PPDP 2018. [ pdf ] [ long version ] Gabriela Steren, Eduardo Bonelli: The first-order hypothetical logic of proofs . J. Log. Comput. 27(4): 1023-1066 (2017) Thibaut Balabonski, Pablo Barenbaum, Eduardo Bonelli, Delia Kesner: Foundations of strong call by need . PACMPL 1(ICFP): 20:1-20:29 (2017) [ pdf ] Eduardo Bonelli, Delia Kesner, Carlos Lombardi, Alejandro Ros: On abstract normalisation beyond neededness . Theor. Comput. Sci. 672: 36-63 (2017) Pablo Barenbaum, Eduardo Bonelli: Optimality and the Linear Substitution Calculus . FSCD 2017: 9:1-9:16 (2017) [ pdf ] Past Events PC Committee for LSFA 2018 PC Committee for ICTAC 2018 PC Committee for UNIF 2018 PC Committee for FSCD 2018 FSCD 2016: 1st International Conference on Formal Structures for Computation and Deduction IWC 2014: 3rd International Workshop on Confluence DCM 2013: 9th International Workshop on Developments in Computational Models Workshops - CONCUR 2013 CIbSE 2012: Doctoral Symposium of the XIV Ibero-American Conference on Software Engineering HOR 2010: 5th International Workshop on Higher-Order Rewriting ASSE 2010: XI Argentine Symposium on Software Engineering WSegI09, WSegI10, WSegI11: Workshop on Security in Informatics, Argentina ICE 2017: 2nd International Workshop on Interaction and Concurrency Experience RTA 2009, 2013: International Conference on Rewriting Techniques and Applications LSFA07, LSFA08, LSFA09, LSFA10, LSFA11, LSFA13: International Workshop on Logical and Semantic Frameworks, with Applications WS-FM 2008: 5th International Workshop on Web Services and Formal Methods WRS 2005: International Workshop in Rewrite Strategies CLEI03, CLEI13, CLEI14, CLEI15: Latin American Conference in Informatics diff --git a/src/data/compiled_bios/4359.txt b/src/data/compiled_bios/4359.txt new file mode 100644 index 0000000000..89be8d35a4 --- /dev/null +++ b/src/data/compiled_bios/4359.txt @@ -0,0 +1 @@ + Brian's Project Gallery A Collection of Software, Photography, and Music Home Page Software Projects Photography Music Guestbook Personal Profile Full name: Brian Scott Borowski Birthday: February 26, 1979 Favorite foods: Pizza, sushi Advice: Expect nothing, appreciate everything. Email: brian_borowski AT yahoo DOT com Technical Rsum Music Rsum News Sep. 1, 2012 - Check out my new Connect Four Java applet. Jun. 22, 2010 - I successfully defended my dissertation entitled Application of Channel Estimation to Underwater Acoustic Communication . You can download the dissertation and slides . Sep. 5, 2009 - I posted some of my organ recordings in the music section. Please check them out. Jul. 10, 2009 - Source code for Truth Table Constructor is now available. I also added a short piece for keyboard in the music section. Nov. 21, 2008 - After nearly a decade, I finally redesigned the whole site! It now uses XHTML 1.1 with CSS. The design is simple, and it should be pretty easy to navigate. I migrated everything to the new layout except for Message Box Demo and Sound Demo , neither of which demonstrated anything useful. About this Site This web site has been running since 1999, when I created it for a course project. I honestly did not expect it to be in existence for so long. Though most of the projects featured here are horribly obsolete, Truth Table Constructor has become quite popular on the Web. It was completely redesigned in early 2006 so that it can generate large tables and export them to images or text files. As time permits, I have been updating my implementations with cleaner, more efficient code. Many of the projects are written in Java, an object-oriented (OO) programming language. In the early days of Java, developers primarily created applets for web pages, like the ones on display here. However, as Java matured, its role shifted from that of client-side applets to full-blown server-side enterprise applications. Some of the other projects make use of JavaScript for both logic and presentation. They serve as examples of how to create JavaScript objects and use JavaScript to create dynamic web pages. Mini Biography I am currently an assistant teaching professor of computer science at Stevens Institute of Technology in Hoboken, NJ. I am teaching a variety of undergraduate courses, serving on the curriculum committee, and advising students on their courses of study. Before coming (or shall I say returning) to Stevens, I spent three years developing a full curriculum of computer science courses and teaching them to advanced high school students at Bergen County Academies in Hackensack, NJ. Prior to teaching, I was a technical specialist working on natural language processing at Thomson Reuters in New York City. In June 2010 I completed my doctoral studies at Stevens, where I researched underwater acoustic communication. I received my M.S. degree in computer science from Stevens in 2004 and my B.S. degree, also in computer science, from Seton Hall University in 2001. I gained experience as a software engineer while working for Prudential Financial , KPMG , and Syncsort . In my spare time, I enjoy writing software and playing the organ. Last modified on August 3, 2014. 1999-2014 Brian S. Borowski. All Rights Reserved. Valid XHTML and CSS . diff --git a/src/data/compiled_bios/436.txt b/src/data/compiled_bios/436.txt new file mode 100644 index 0000000000..5efbda431a --- /dev/null +++ b/src/data/compiled_bios/436.txt @@ -0,0 +1 @@ +LAM, Kwok Yan BSc London, PhD Cambridge Professor School of Computer Science & Engineering Nanyang Technological University Singapore Professor Lam is a Professor of Computer Science at the Nanyang Technological University (NTU), Singapore. He is currently the Director of NTUs SPIRIT Smart Nation Research Centre, and the Program Chair (Secure Community) of the Graduate College of NTU. Professor Lam has been a Professor of the Tsinghua University, PR China (2002-2010) and a faculty member of the National University of Singapore and the University of London since 1990. He was a visiting scientist at the Isaac Newton Institute of the Cambridge University and a visiting professor at the European Institute for Systems Security. In 1997, he founded PrivyLink International Ltd, a spin-off company of the National University of Singapore, specializing in e-security technologies for homeland security and financial systems. In 2012, he co-founded Soda Pte Ltd which won the Most Innovative Start Up Award at the RSA 2015 Conference. In 1998, he received the Singapore Foundation Award from the Japanese Chamber of Commerce and Industry in recognition of his R&D achievement in Information Security in Singapore. Prof Lam received his B.Sc. (First Class Honours ) from the University of London in 1987 and his Ph.D. from the University of Cambridge in 1990. His research interests include Distributed Systems, IoT Security Infrastructure and Cyber-Physical System Security, Distributed Protocols for Blockchain , Biometric Cryptography, Homeland Security and Cybersecurity. Current and Past Appointments 2015- , Professor, School of Computer Science & Engineering, NTU 2002-2010, Professor, School of Software, Tsinghua University, China 1997-2002, Associate Professor, National University of Singapore 1995-1997, Senior Lecturer, National University of Singapore 1992-1995, Lecturer, National University of Singapore 1990-1992, Lecturer, Royal Holloway, University of London Education 1987-1990, Ph.D., Computer Laboratory, University of Cambridge, U.K. 1984-1987, B.Sc. in Computer Science (First Class Honours ), University of London, U.K. Awards and Scholarships SPRING Singapore Merit Award, SPRING Singapore, 2016 Most Innovative Start-Up Award, RSA Conference, 2015 Singapore Foundation Award (Research & Development), Japanese Chamber of Commerce and Industry, 1995 Cambridge Hong Kong Scholarship, Cambridge Commonwealth Trust, 1987-1990 Overseas Research Student Award, British Government, 1987-1990 Selected Professional Activities Chair, Cyber Security WG, SDE Technology Roadmap, Infocomm and Media Development Authority, Singapore, 2018 2019 Technical Committee Member, SDE Technology Roadmap, Infocomm and Media Development Authority, Singapore, 2018 2019 Reviewer for IEEE Transactions on Communications Reviewer for IEEE Access Reviewer for IEEE Network Reviewer for Journal, Nature Reviewer for IEEE Transactions on Circuits and Systems for Video Technology Reviewer for IEEE Transactions on Aerospace and Electronic Systems External Examiner for Bachelor of Computer Science (Cyber Security) (Hons.) Programme, College of Computer Science and Information Technology, Universiti Tenaga Nasional (UNITEN, Malaysia, January 2018 December 2019 External Reviewer, Singapore Ministry of Education (MOE) Innovation Fund Evaluation Panel (IFEP), August 2017 Recent and Selected Projects Principal Investigator, Smart Nation IoT Security Reference Architecture Study, funded by Cyber Security Agency of Singapore, Ministry of Communications and Information (S$780,000), May 2018 May 2019. Co-Lead Principal Investigator, Risk Assessment for Industrial Control Systems, National Cybersecurity R&D (NCR) Grant Call 2016, funded by National Research Foundation (S$1,211,520), October 2017 September 2019. Co-Lead Principal Investigator, Cybersecurity Protocol and Mechanism for e-Logistics of Dangerous Goods Tracking Using Blockchain , National Cybersecurity R&D (NCR) Grant Call 2016, funded by National Research Foundation (S$989,280), September 2017 August 2019. Lead Principal Investigator, Smart Platform Infrastructure Research on Integrative Technologies (SPIRIT), Translational R&D for Application to Smart Nation, funded by National Research Foundation (S$11,000,000), September 2016 March 2021. Lead Principal Investigator, Strategic Centre for Research in Privacy-Preserving Technologies & Systems, funded by Infocomm and Media Development Authority (S$10,000,000), November 2018 October 2013. Principal Investigator, ExPReSS : Extensible Platform for Retrieval and Summarization Support, NTUITIVE GAP FUND GRANT (S$250,000), July 2017 March 2019. Recent and Selected Papers P. Vikramkumar, A. Chattopadhyay and K.Y. Lam . Secure and Lightweight Compressive Sensing using Stream Cipher, IEEE Transactions on Circuits and Systems II, IEEE, Volume 65, Issue 3, pp. 371-375, March 2018. Doi : 10.1109/TCSII.2017.2715659. F. Li, K.Y. Lam , J. Wang, X. Liu, K. Zhao and L. Wang. Joint Pricing and Power Allocation for Multibeam Satellite Systems with Dynamic Game Model, IEEE Transactions on Vehicular Technology, IEEE, Volume 67, Issue 3, pp. 2398 2408, March 2018. Doi : 10.1109/TVT.2017.2771770. L. Wang, F. Li, X. Liu, K.Y. Lam , Z. Na and H. Peng. Spectrum Optimization for Cognitive Satellite Communications with Cournot Game Model, IEEE Access, IEEE, Volume 6, Issue 1, pp. 1624 1634, 2018. Doi : 10.1109/ACCESS.2017.2779804. A. Burg and A. Chattopadhyay and K.Y. Lam . Wireless Communication and Security Issues for Cyber-Physical Systems and the Internet-of-Things, Proceedings of the IEEE, IEEE, Volume: 106,Issue: 1, pp. 38 60, Jan. 2018. Doi : 10.1109/JPROC.2017.2780172. F. Li, X. Liu, K.Y. Lam , Z. Na, J. Hua, J. Wang and L. Wang. Spectrum Allocation with Asymmetric Monopoly Model for Multibeam -Based Cognitive Satellite Networks, IEEE Access, IEEE, Volume 6, Issue 1, pp. 9713 9722, 2018. Doi : 10.1109/ACCESS.2018.2797278. F. Li, K.Y. Lam and L. Wang. Power allocation in cognitive radio networks over Rayleigh-fading channels with hybrid intelligent algorithms, Wireless Networks, Volume 24, Issue 7, pp. 2397 2407, Oct 2018. Doi:10.1007/s11276-017-1476-3. F. Li, K.Y. Lam , L. Wang, Z. Na, X. Liu and Q. Pan. Caching Efficiency Enhancement at Wireless Edges with Concerns on User's Quality of Experience, Wireless Communications and Mobile Computing, Vol. 2018, Article ID 1680641, 10 pages, 2018. Doi:10.1155/2018/1680641. F. Li, K.Y. Lam , X. Li, X. Liu, L. Wang and C.M. Leung. Dynamic Spectrum Access Networks with Heterogeneous Users: How to Price the Spectrum?, IEEE Transactions on Vehicular Technology, IEEE, Volume 67, Issue 6, pp 5203 5216, June 2018, Doi : 10.1109/TVT.2018.2818749. S. Badsha, X. Yi, I. Khalil, D. Liu, S. Nepal, E. Bertino and K.Y. Lam . Privacy Preserving Location-Aware Personalized Web Service Recommendations, IEEE Transactions on Services Computing, 22 May 2018, Doi : 10.1109/TSC.2018.2839587. F. Li, K.Y. Lam , N. Zhao, X. Liu, K. Zhao, and L. Wang. Spectrum Trading for Satellite Communication Systems with Dynamic Bargaining, IEEE Transactions on Communications, IEEE, Volume 66, Issue 10, pp. 4680 4693, Oct 2018 , Doi : 10.1109/TCOMM.2018.2837909. L. Wang, K.Y. Lam , M. Xiong, F. Li, X. Liu and J. Wang. Spectrum Pricing for Cognitive Radio Networks with User's Stochastic Distribution, Wireless Networks, Springer US, 16 July 2018, https://doi.org/10.1007/s11276-018-1799-8 . X. Yi, K.Y. Lam and D. Gollmann. A New Blind ECDSA Scheme for Bitcoin Transaction Anonymity, Cryptology ePrint Archive, Report 2018/660, 2018, https://eprint.iacr.org/2018/660 . F. Li, K.Y. Lam , Z. Sheng, X. Zhang, K. Zhao and L. Wang. Q-Learning-Based Dynamic Spectrum Access in Cognitive Industrial Internet of Things, Wireless Networks and Applications, Springer US, 11 September 2018, DOI 10.1007/s11036-018-1109-9. S. Badsha, X. Yi, I. Khalil, S. Nepal, D. Liu and K.Y. Lam . Privacy Preserving User based Web Service Recommendations, IEEE Access, IEEE, 5 October, 2018, DOI 10.1109/ACCESS.2018.2871447. A. Chattopadhyay, K.Y. Lam. Autonomous Vehicle: Security by Design, October, 2018, arXiv preprint arXiv:1810.00545. C. Wang, T. Bo, Y.W. Zhao, C.H. Chi, K.Y. Lam and S. Wang. Behavior -Interior-Aware User Preference Analysis based on Social Networks, Complexity, Volume 2018, Article ID 7371209, 18 pages, https://doi.org/10.1155/2018/7371209 . F. Li, K.Y. Lam , J.Y. Hua, K Zhao, N. Zhao and L. Wang. Improving Spectrum Management for Satellite Communication Systems with Hunger Marketing, IEEE Wireless Communications Letters, IEEE, 17 January 2019, Doi : 10.1109/LWC.2019.2893659. K.Y. Lam ,C.H. Chi. Identity in the Internet-of-Things ( IoT ): New Challenges and Opportunities,ICICS2016:18-26, Springer. K.Y. Lam . Securing the Internet of Thing: Cybersecurity from IT to OT, Chapter in Navigating the Digital Age, 35-44, Forbes Media, 2016. V. Sidorov, W.K. Ng, K.Y. Lam , M.F. Bin Mohamed Salleh. Implications of Cyber Threats for the Design of Unmanned Air Traffic Management System, The 2017 International Conference on Unmanned Aircraft Systems (ICUAS17), FL, USA, June 13-16 2017. S Sau , J. Haj-Yahya, M.M. Wong, K.Y. Lam and A. Chattopadhyay. Survey of Secure Processors, 2017 International Conference on Embedded Computer Systems: Architectures, Modeling , and Simulation (SAMOS 2017), 17-20 July, 2017, Pythagorion , Greece, IEEE. Doi : 10.1109/SAMOS.2017.8344637. M. Raikwar, S. Mazumdar , S. Ruj , S.S. Gupta, A. Chattopadhyay, K.Y. Lam . A Blockchain Framework for Insurance Processes, 1 st International Workshop on Blockchains and Smart Contracts (BSC) in conjunction with the 9th IFIP International Conference on New Technologies, Mobility and Security (IFIP NTMS), February 26-28 2018, Paris, France, IEEE. Doi : 10.1109/NTMS.2018.8328731. V. Pudi, A. Chattopadhyay, K.Y. Lam . Efficient and Lightweight Quantized Compressive Sensing Using Mu-Law, 2018 IEEE International Symposium on Circuits and Systems (ISCAS 2018), May 27-30, 2018, Florence, Italy, IEEE. Doi : 10.1109/ISCAS.2018.8351505. A. Chattopadhyay and K.Y. Lam . Security of autonomous vehicle as a cyber-physical system, The 7 th International Symposium on Embedded Computing and System Design (ISED) , Durgapur, 18-20 December, 2017, pp. 1-6, IEEE. doi : 10.1109/ISED.2017.8303906. Y.W. Zhao, C. Wang, C.H. Chi, K.Y. Lam and S. Wang. A Comparative Study of Transactional and Semantic Approaches for Predicting Cascades on Twitter, Proceedings of the 27 th International Joint Conference on Artificial Intelligence (IJCAI -18), July 13-19, 2018, Stockholm, Sweden, pp 1212-1218, doi:10.24963/ijcai.2018/169. S. Bose, M. Raikwar, D. Mukhopadhyay , A. Chattopadhyay, K.Y. Lam . BLIC: A Blockchain Protocol for Manufacturing and Supply Chain Management of ICs, The 2018 IEEE International Conference on Blockchain (Blockchain-2018), July 30 3 August 2018, Halifax, Canada. Y. Huang, A.W.K. Kong and K.Y. Lam . From the Perspective of CNN to Adversarial Iris Images, IEEE 9 th International Conference on Biometrics: Theory, Applications and Systems (BTAS 2018), October 22-25, 2018, Los Angeles, California, U.S. B. Srinivasu, P. Vikramkumar, A. Chattopadhyay and K.Y. Lam . CoLPUF : A Novel Configurable LFSR-based PUF, Proceedings of the 14th Asia Pacific Conference on Circuits and Systems (APCCAS 2018), October 26-30, 2018, Chengdu, China. Doi : 10.1109/APCCAS.2018.8605643. J.L. Guo, W.Z. Yang, K.Y. Lam and X. Yi. Using Blockchain to Control Access to Cloud Data, The 14th International Conference on Information Security and Cryptology ( Inscrypt 2018), December 14-17, 2018, Fuzhou, China, Springer LNCS 11449. Patents Lam Kwok Yan, et. al . Method for Generating Cryptographic Key from Biometric Data , Granted on 30 October 2009. Lam Kwok Yan, et. al . Methods of Robust Multi-Factor Authentication and Authorization and Systems Thereof , Granted on 31 July 2012. Lam Kwok Yan, et. al . Method and System of Secure Computing Environment having Auditable Control of Data Movement , Granted on 31 July 2013. Lam Kwok Yan, et. al . Method and System of Secure Computer File Management and Storage having High Level of Usability , Granted on 10 March 2016. diff --git a/src/data/compiled_bios/4360.txt b/src/data/compiled_bios/4360.txt new file mode 100644 index 0000000000..40377dc131 --- /dev/null +++ b/src/data/compiled_bios/4360.txt @@ -0,0 +1 @@ + Dimitrios Damopoulos Stevens Institute of Technology About Me Research Contact Me Download CV Copyright @ Dimitrios Damopoulos Dr. Dimitrios Damopoulos Dimitrios Damopoulos was born in Frankfurt, Germany in 1985. He obtained the B.Sc. degree in Industrial Informatics from the Technological Educational Institute of Kavala, Greece. He also holds a M.Sc. in Information & Communication Systems Security and a Ph.D. in Information and Communication Systems Engineering both from the Dept. of Information and Communication Systems Engineering, University of the Aegean, Greece. Dimitrios completed his Ph.D. in July 2013 under the supervision of Assist. Prof. Georgios Kambourakis. Currently, he is within Stevens Institute of Technology as an Assistant Professor at the Computer Science Department. Among others, his research interests focus on Smartphone Security, Mobile Device Intrusion Detection & Prevention Systems, Mobile Malware, Mobile Applications and Services. Academic Positions Present 2015 Assistant Professor Stevens Institute of Technology , Hoboken NJ 2015 2013 Postdoctoral Researher Stevens Institute of Technology , Hoboken NJ 2013 2010 PhD Candidate University of the Aegean , Karlovasi, Samos 2011 2010 MSc Extended Student University of Plymouth Education & Training Ph.D. 2013 Ph.D. in Information and Communication Systems Engineering Univeristy of the Aegean M.Sc. 2010 M.Sc. Information and Communication Systems Security University of the Aegean B.Sc. 2008 Bachelor of Science in Computer and Informatics Engineering Eastern Macedonia and Thrace (EMT) Institute of Technology diff --git a/src/data/compiled_bios/4361.txt b/src/data/compiled_bios/4361.txt new file mode 100644 index 0000000000..d7453338c9 --- /dev/null +++ b/src/data/compiled_bios/4361.txt @@ -0,0 +1 @@ + Please enable JS HOME NEWS RESEARCH PAPERS CV CONTACT Enrique Dunn Associate Professor Stevens Institute of Technology I'm an Associate Professor within the Department of Computer Science at the Stevens Institute of Techonology, carrying out computer vision research for the analysis and exploitation of visual data. In particular, I'm interested in studying the geometric and semantic relationships found among an imaged environment, the agents interacting within it, and the sensors observing them. Recently, my interest has been on developing visual analytics for large-scale and heterogeneous datasets, such as those comprised by crowd-source imagery. LATEST NEWS JULY 2017 CVPR 2017 Tutorial The day-long tutorial " Large-Scale 3D Modeling from Crowdsourced Data" was presented in CVPR 2017 by J. M. Frahm, E. Dunn, M. Pollefeys, J. Heinly and J. L. Schnberger [ WebSite ] JUNE 2017 TPAMI Paper Accepted Our paper " Self-expressive Dictionary Learning for Dynamic 3D Reconstruction " by E. Zheng, D. Ji, E. Dunn and J. M. Frahm, was accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence. This work is an extension of our ICCV 2015 paper. [ Arxiv / IEEE ] SEPT 2016 ISMAR BEST PAPER Our paper " Towards kilo-hertz 6-DoF visual tracking using an egocentric cluster of rolling shutter cameras " by A. Bapat, E. Dunn and J. M. Frahm, received the best paper award in the recent ISMAR 2016 held at Merida, Mexico. Moreover, an extended version of the paper has been accepted into a special issue of IEEE Transactions on Visualization and Computer Graphics [ Pre-Print / IEEE ] RESEARCH PROJECTS All 3D Reconstruction Visual Dynamics Content Retrieval DUPLICATE STRUCTURE CORRECTION IN SFM RECONSTRUCTING THE WORLD IN SIX DAYS LEARNED CONTEXTUAL FEATURE REWEIGHTING FEATURE SELECTION USING PER-BUNDLE VLAD JOINT VIEW SELECTION AND DEPTMAP ESTIMATION SYNTHETIC ILLUMINATION MOSAICS DENSE SPATIO-TEMPORAL CORRESPONDENCE 3D RECONSTRUCTION OF DYNAMIC TEXTURES BRINGING 3D MODELS TOGETHER OBJECT CLASS SEQUENCING AND TRAJECTORY TRIANGULATION STEREO UNDER SEQUENTIAL OPTIMAL SAMPLING ACADEMIC PUBLICATIONS Self-expressive Dictionary Learning for Dynamic 3D Reconstruction Enliang Zheng, Dinghuang Ji, Enrique Dunn, Jan-Michael Frahm IEEE Transactions on Pattern Analysis and Machine Intelligence BibTex @article{zheng2017self, title={Self-expressive Dictionary Learning for Dynamic 3D Reconstruction}, author={Enliang Zheng and Dinghuang Ji and Enrique Dunn and Jan-Michael Frahm},journal={IEEE Transactions on Pattern Analysis and Machine Intelligence},year={2017},publisher=IEEE} Abstract We target the problem of sparse 3D reconstruction of dynamic objects observed by multiple unsynchronized video cameras with unknown temporal overlap. To this end, we develop a framework to recover the unknown structure without sequencing information across video sequences. Our proposed compressed sensing framework poses the estimation of 3D structure as the problem of dictionary learning, where the dictionary is defined as an aggregation of the temporally varying 3D structures. Given the smooth motion of dynamic objects, we observe any element in the dictionary can be well approximated by a sparse linear combination of other elements in the same dictionary (i.e. self-expression). Our formulation optimizes a biconvex cost function that leverages a compressed sensing formulation and enforces both structural dependency coherence across video streams, as well as motion smoothness across estimates from common video sources. We further analyze the reconstructability of our approach under different capture scenarios, and its comparison and relation to existing methods. Experimental results on large amounts of synthetic data as well as real imagery demonstrate the effectiveness of our approach. Learned Contextual Feature Reweighting for Image Geo-Localization Hyo-Jin Kim, Enrique Dunn, Jan-Michael Frahm IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017) BibTex @inproceedings{kim2017learned, title={Learned Contextual Feature Reweighting for Image Geo-Localization}, author= {Hyo-Jin Kim and Enrique Dunn and Jan-Michael Frahm}, booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)}, year={2017} } Abstract We address the problem of large scale image geo- localization where the location of an image is estimated by identifying geo-tagged reference images depicting the same place. We propose a novel model for learning image rep- resentations that integrates context-aware feature reweight- ing in order to effectively focus on regions that positively contribute to geo-localization. In particular, we introduce a Contextual Reweighting Network (CRN) that predicts the importance of each region in the feature map based on the image context. Our model is learned end-to-end for the im- age geo-localization task, and requires no annotation other than image geo-tags for training. In experimental results, the proposed approach significantly outperforms the previ- ous state-of-the-art on the standard geo-localization bench- mark datasets.We also demonstrate that our CRN discovers task-relevant contexts without any additional supervision. Towards Kilo-Hertz 6-DoF Visual Tracking Using an Egocentric Cluster of Rolling Shutter Cameras Akash Bapat, Enrique Dunn, Jan-Michael Frahm IEEE Transactions on Visualization and Computer Graphics BibTex @article{DBLP:journals/tvcg/BapatDF16, author = {Akash Bapat and Enrique Dunn and Jan-Michael Frahm}, title = {Towards Kilo-Hertz 6-DoF Visual Tracking Using an Egocentric Cluster of Rolling Shutter Cameras}, journal = {IEEE Trans. Vis. Comput. Graph.}, volume = {22}, number = {11}, pages = {2358--2367}, year = {2016} } Abstract To maintain a reliable registration of the virtual world with the real world, augmented reality (AR) applications require highly accurate, low-latency tracking of the device. In this paper, we propose a novel method for performing this fast 6-DOF head pose tracking using a cluster of rolling shutter cameras. The key idea is that a rolling shutter camera works by capturing the rows of an image in rapid succession, essentially acting as a high-frequency 1D image sensor. By integrating multiple rolling shutter cameras on the AR device, our tracker is able to perform 6-DOF markerless tracking in a static indoor environment with minimal latency. Compared to state-of-the-art tracking systems, this tracking approach performs at significantly higher frequency, and it works in generalized environments. To demonstrate the feasibility of our system, we present thorough evaluations on synthetically generated data with tracking frequencies reaching 56.7 kHz. We further validate the method's accuracy on real-world images collected from a prototype of our tracking system against ground truth data using standard commodity GoPro cameras capturing at 120 Hz frame rate. Bringing 3D Models Together: Mining Video Liaisons in Crowdsourced Reconstructions Ke Wang, Enrique Dunn, Mikel Rodriguez, Jan-Michael Frahm Asian Conference on Computer Vision (ACCV 2016) BibTex @inproceedings{DBLP:conf/accv/WangDRF16, author = {Ke Wang and Enrique Dunn and Mikel Rodriguez and Jan-Michael Frahm}, title = {Bringing 3D Models Together: Mining Video Liaisons in Crowdsourced Reconstructions}, booktitle = {Computer Vision - {ACCV} 2016 - 13th Asian Conference on Computer Vision, Taipei, Taiwan, November 20-24, 2016, Revised Selected Papers, Part {IV}}, pages = {408--423}, year = {2016}} Abstract The recent advances in large-scale scene modeling have enabled the automatic 3D reconstruction of landmark sites from crowdsourced photo collections. Here, we address the challenge of leveraging crowdsourced video collections to identify connecting visual observations that enable the alignment and subsequent aggregation, of disjoint 3D models. We denote these connecting image sequences as video liaisons and develop a data-driven framework for fully unsupervised extraction and exploitation. Towards this end, we represent video contents in terms of a histogram representation of iconic imagery contained within existing 3D models attained from a photo collection. We then use this representation to efficiently identify and prioritize the analysis of individual videos within a large-scale video collection, in an effort to determine camera motion trajectories connecting different landmarks. Results on crowdsourced data illustrate the efficiency and effectiveness of our proposed approach. Spatio-Temporally Consistent Correspondence for Dense Dynamic Scene Modeling Dinghuang Ji, Enrique Dunn, Jan-Michael Frahm European Conference on Computer Vision (ECCV 2016) BibTex @inproceedings{DBLP:conf/eccv/JiDF16, author = {Dinghuang Ji and Enrique Dunn and Jan-Michael Frahm}, title = {Spatio-Temporally Consistent Correspondence for Dense Dynamic Scene Modeling}, booktitle = {Computer Vision - {ECCV} 2016 - 14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part {VI}}, pages = {3--18}, year = {2016} } Abstract We address the problem of robust two-view correspondence estimation within the context of dynamic scene modeling. To this end, we investigate the use of local spatio-temporal assumptions to both identify and refine dense low-level data associations in the absence of prior dynamic content models. By developing a strictly data-driven approach to correspondence search, based on bottom-up local 3D motion cues of local rigidity and non-local coherence, we are able to robustly address the higher-order problems of video synchronization and dynamic surface modeling. Our findings suggest an important relationship between these two tasks, in that maximizing spatial coherence of surface points serves as a direct metric for the temporal alignment of local image sequences. The obtained results for these two problems on multiple publicly available dynamic reconstruction datasets illustrate both the effectiveness and generality of our proposed approach. Efficient joint stereo estimation and land usage classification for multiview satellite data Ke Wang, Craig Stutts, Enrique Dunn, Jan-Michael Frahm IEEE Winter Conference on Applications of Computer Vision (WACV 2016) BibTex @inproceedings{DBLP:conf/wacv/WangSDF16, author = {Ke Wang and Craig Stutts and Enrique Dunn and Jan-Michael Frahm}, title = {Efficient joint stereo estimation and land usage classification for multiview satellite data}, booktitle = {2016 IEEE Winter Conference on Applications of Computer Vision, {WACV} 2016, Lake Placid, NY, USA, March 7-10, 2016}, pages = {1--9}, year = {2016} } Abstract We propose an efficient algorithm to jointly estimate geometry and semantics for a given geographical region observed by multiple satellite images. Our joint estimation leverages an efficient PatchMatch inference framework de- fined over lattice discretization of the environment. Our cost function relies on the local planarity assumption to model scene geometry and neural network classification to determine semantic (e.g. land use) labels for geometric structures. By utilizing the commonly available direct (i.e. space to image) rational polynomial coefficients (RPC) satellite camera models, our approach effectively circumvents the need for estimating or refining inverse RPC models. Experiments illustrate both the computational efficiency and high quality scene geometry estimates attained by our approach for satellite imagery. To further illustrate the generality of our representation and inference framework, experiments on standard benchmarks for ground-level imagery are also included. Reconstructing the world* in six days *(As Captured by the Yahoo 100 Million Image Dataset) Jared Heinly, Johannes L. Schonberger, Enrique Dunn, Jan-Michael Frahm IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2015) BibTex @inproceedings{DBLP:conf/cvpr/HeinlySDF15, author = {Jared Heinly and Johannes L. Schonberger and Enrique Dunn and Jan-Michael Frahm}, title = {Reconstructing the world* in six days *(As Captured by the Yahoo 100 Million Image Dataset)}, booktitle = {IEEE Conference on Computer Vision and Pattern Recognition, {CVPR} 2015, Boston, MA, USA, June 7-12, 2015}, pages = {3287--3295}, year = {2015} } Abstract We propose a novel, large-scale, structure-from-motion framework that advances the state of the art in data scalability from city-scale modeling (millions of images) to world-scale modeling (several tens of millions of images) using just a single computer. The main enabling technology is the use of a streaming-based framework for connected component discovery. Moreover, our system employs an adaptive, online, iconic image clustering approach based on an augmented bag-of-words representation, in order to balance the goals of registration, comprehensiveness, and data compactness. We demonstrate our proposal by operating on a recent publicly available 100 million image crowdsourced photo collection containing images geographically distributed throughout the entire world. Results illustrate that our streaming-based approach does not compromise model completeness, but achieves unprecedented levels of efficiency and scalability. Synthesizing Illumination Mosaics from Internet Photo-Collections Dinghuang Ji, Enrique Dunn, Jan-Michael Frahm IEEE International Conference on Computer Vision (ICCV 2015) BibTex @inproceedings{DBLP:conf/iccv/JiDF15, author = {Dinghuang Ji and Enrique Dunn and Jan-Michael Frahm}, title = {Synthesizing Illumination Mosaics from Internet Photo-Collections}, booktitle = {2015 IEEE International Conference on Computer Vision, {ICCV} 2015, Santiago, Chile, December 7-13, 2015}, pages = {3988--3996}, year = {2015} } Abstract We propose a framework for the automatic creation of time-lapse mosaics of a given scene. We achieve this by leveraging the illumination variations captured in Internet photo-collections. In order to depict and characterize the illumination spectrum of a scene, our method relies on building discrete representations of the image appearance space through connectivity graphs defined over a pairwise image distance function. The smooth appearance transitions are found as the shortest path in the similarity graph among images, and robust image alignment is achieved by leveraging scene semantics, multi-view geometry, and image warping techniques. The attained results present an insightful and compact visualization of the scene illuminations captured in crowd-sourced imagery. Predicting Good Features for Image Geo-Localization Using Per-Bundle VLAD Hyo Jin Kim, Enrique Dunn, Jan-Michael Frahm IEEE International Conference on Computer Vision (ICCV 2015) BibTex @inproceedings{DBLP:conf/iccv/KimDF15, author = {Hyo Jin Kim and Enrique Dunn and Jan-Michael Frahm}, title = {Predicting Good Features for Image Geo-Localization Using Per-Bundle VLAD}, booktitle = {2015 IEEE International Conference on Computer Vision, {ICCV} 2015, Santiago, Chile, December 7-13, 2015}, pages = {1170--1178}, year = {2015} } Abstract We address the problem of recognizing a place depicted in a query image by using a large database of geo-tagged images at a city-scale. In particular, we discover features that are useful for recognizing a place in a data-driven manner, and use this knowledge to predict useful features in a query image prior to the geo-localization process. This allows us to achieve better performance while reducing the number of features. Also, for both learning to predict features and retrieving geo-tagged images from the database, we propose per-bundle vector of locally aggregated descriptors (PBVLAD), where each maximally stable region is described by a vector of locally aggregated descriptors (VLAD) on multiple scale-invariant features detected within the region. Experimental results show the proposed approach achieves a significant improvement over other baseline methods. Sparse Dynamic 3D Reconstruction from Unsynchronized Videos Enliang Zheng, Dinghuang Ji, Enrique Dunn, Jan-Michael Frahm IEEE International Conference on Computer Vision (ICCV 2015) BibTex @inproceedings{DBLP:conf/iccv/ZhengJDF15, author = {Enliang Zheng and Dinghuang Ji and Enrique Dunn and Jan-Michael Frahm}, title = {Sparse Dynamic 3D Reconstruction from Unsynchronized Videos}, booktitle = {2015 IEEE International Conference on Computer Vision, {ICCV} 2015, Santiago, Chile, December 7-13, 2015}, pages = {4435--4443}, year = {2015} } Abstract We target the sparse 3D reconstruction of dynamic objects observed by multiple unsynchronized video cameras with unknown temporal overlap. To this end, we develop a framework to recover the unknown structure without sequencing information across video sequences. Our proposed compressed sensing framework poses the estimation of 3D structure as the problem of dictionary learning. Moreover, we define our dictionary as the temporally varying 3D structure, while we define local sequencing information in terms of the sparse coefficients describing a locally linear 3D structural interpolation. Our formulation optimizes a biconvex cost function that leverages a compressed sensing formulation and enforces both structural dependency coherence across video streams, as well as motion smoothness across estimates from common video sources. Experimental results demonstrate the effectiveness of our approach in both synthetic data and captured imagery. Minimal Solvers for 3D Geometry from Satellite Imagery Enliang Zheng, Ke Wang, Enrique Dunn, Jan-Michael Frahm IEEE International Conference on Computer Vision (ICCV 2015) BibTex @inproceedings{DBLP:conf/iccv/ZhengWDF15, author = {Enliang Zheng and Ke Wang and Enrique Dunn and Jan-Michael Frahm}, title = {Minimal Solvers for 3D Geometry from Satellite Imagery}, booktitle = {2015 IEEE International Conference on Computer Vision, {ICCV} 2015, Santiago, Chile, December 7-13, 2015}, pages = {738--746}, year = {2015} } Abstract We propose two novel minimal solvers which advance the state of the art in satellite imagery processing. Our methods are efficient and do not rely on the prior existence of complex inverse mapping functions to correlate 2D image coordinates and 3D terrain. Our first solver improves on the stereo correspondence problem for satellite imagery, in that we provide an exact image-to-object space mapping (where prior methods were inaccurate). Our second solver provides a novel mechanism for 3D point triangulation, which has improved robustness and accuracy over prior techniques. Given the usefulness and ubiquity of satellite imagery, our proposed methods allow for improved results in a variety of existing and future applications. Recovering Correct Reconstructions from Indistinguishable Geometry Jared Heinly, Enrique Dunn, Jan-Michael Frahm International Conference on 3D Vision (3DV 2014) BibTex @inproceedings{DBLP:conf/3dim/HeinlyDF14, author = {Jared Heinly and Enrique Dunn and Jan-Michael Frahm}, title = {Recovering Correct Reconstructions from Indistinguishable Geometry}, booktitle = {2nd International Conference on 3D Vision, 3DV 2014, Tokyo, Japan, December 8-11, 2014, Volume 1}, pages = {377--384}, year = {2014} } Abstract Structure-from-motion (SFM) is widely utilized to generate 3D reconstructions from unordered photo-collections. However, in the presence of non unique, symmetric, or otherwise indistinguishable structure, SFM techniques often incorrectly reconstruct the final model. We propose a method that not only determines if an error is present, but automatically corrects the error in order to produce a correct representation of the scene. We find that by exploiting the co-occurrence information present in the scenes geometry, we can successfully isolate the 3D points causing the incorrect result. This allows us to split an incorrect reconstruction into error-free sub-models that we then correctly merge back together. Our experimental results show that our technique is efficient, robust to a variety of scenes, and outperforms existing methods. Stereo under Sequential Optimal Sampling: A Statistical Analysis Framework for Search Space Reduction Yilin Wang, Ke Wang, Enrique Dunn, Jan-Michael Frahm IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2014) BibTex @inproceedings{DBLP:conf/cvpr/WangWDF14, author = {Yilin Wang and Ke Wang and Enrique Dunn and Jan-Michael Frahm}, title = {Stereo under Sequential Optimal Sampling: A Statistical Analysis Framework for Search Space Reduction}, booktitle = {2014 IEEE Conference on Computer Vision and Pattern Recognition, {CVPR} 2014, Columbus, OH, USA, June 23-28, 2014}, pages = {485--492}, year = {2014} } Abstract We develop a sequential optimal sampling framework for stereo disparity estimation by adapting the Sequential Probability Ratio Test (SPRT) model. We operate over local image neighborhoods by iteratively estimating single pixel disparity values until sufficient evidence has been gathered to either validate or contradict the current hypothesis regarding local scene structure. The output of our sampling is a set of sampled pixel positions along with a robust and compact estimate of the set of disparities contained within a given region. We further propose an efficient plane propagation mechanism that leverages the pre-computed sampling positions and the local structure model described by the reduced local disparity set. Our sampling framework is a general pre-processing mechanism aimed at reducing computational complexity of disparity search algorithms by ascertaining a reduced set of disparity hypotheses for each pixel. Experiments demonstrate the effectiveness of the proposed approach when compared to state of the art methods. PatchMatch Based Joint View Selection and Depthmap Estimation Enliang Zheng, Enrique Dunn, Vladimir Jojic, Jan-Michael Frahm IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2014) BibTex @inproceedings{DBLP:conf/cvpr/ZhengDJF14, author = {Enliang Zheng and Enrique Dunn and Vladimir Jojic and Jan-Michael Frahm}, title = {PatchMatch Based Joint View Selection and Depthmap Estimation}, booktitle = {2014 IEEE Conference on Computer Vision and Pattern Recognition, {CVPR} 2014, Columbus, OH, USA, June 23-28, 2014}, pages = {1510--1517}, year = {2014} } Abstract We propose a multi-view depthmap estimation approach aimed at adaptively ascertaining the pixel level data associations between a reference image and all the elements of a source image set. Namely, we address the question, what aggregation subset of the source image set should we use to estimate the depth of a particular pixel in the reference image? We pose the problem within a probabilistic framework that jointly models pixel-level view selection and depthmap estimation given the local pairwise image photoconsistency. The corresponding graphical model is solved by EM-based view selection probability inference and PatchMatch-like depth sampling and propagation. Experimental results on standard multi-view benchmarks convey the state-of-the art estimation accuracy afforded by mitigating spurious pixellevel data associations. Additionally, experiments on large Internet crowd sourced data demonstrate the robustness of our approach against unstructured and heterogeneous image capture characteristics. Moreover, the linear computational and storage requirements of our formulation, as well as its inherent parallelism, enables an efficient and scalable GPU-based implementation. Correcting for Duplicate Scene Structure in Sparse 3D Reconstruction Jared Heinly, Enrique Dunn, Jan-Michael Frahm European Conference on Computer Vision (ECCV 2014) BibTex @inproceedings{DBLP:conf/eccv/HeinlyDF14, author = {Jared Heinly and Enrique Dunn and Jan-Michael Frahm}, title = {Correcting for Duplicate Scene Structure in Sparse 3D Reconstruction}, booktitle = {Computer Vision - {ECCV} 2014 - 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part {IV}}, pages = {780--795}, year = {2014} } Abstract Structure from motion (SfM) is a common technique to recover 3D geometry and camera poses from sets of images of a common scene. In many urban environments, however, there are symmetric, repetitive, or duplicate structures that pose challenges for SfM pipelines. The result of these ambiguous structures is incorrectly placed cameras and points within the reconstruction. In this paper, we present a postprocessing method that can not only detect these errors, but successfully resolve them. Our novel approach proposes the strong and informative measure of conflicting observations, and we demonstrate that it is robust to a large variety of scenes. 3D Reconstruction of Dynamic Textures in Crowd Sourced Data Dinghuang Ji, Enrique Dunn, Jan-Michael Frahm European Conference on Computer Vision (ECCV 2014) BibTex @inproceedings{DBLP:conf/eccv/JiDF14, author = {Dinghuang Ji and Enrique Dunn and Jan-Michael Frahm}, title = {3D Reconstruction of Dynamic Textures in Crowd Sourced Data}, booktitle = {Computer Vision - {ECCV} 2014 - 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part {I}}, pages = {143--158}, year = {2014} } Abstract We propose a framework to automatically build 3D models for scenes containing structures not amenable for photo-consistency based reconstruction due to having dynamic appearance. We analyze the dynamic appearance elements of a given scene by leveraging the imagery contained in Internet image photo-collections and online video sharing websites. Our approach combines large scale crowd sourced SfM techniques with image content segmentation and shape from silhouette techniques to build an iterative framework for 3D shape estimation. The developed system not only enables more complete and robust 3D modeling, but it also enables more realistic visualizations through the identifi- cation of dynamic scene elements amenable to dynamic texture mapping. Experiments on crowd sourced image and video datasets illustrate the effectiveness of our automated data-driven approach. Joint Object Class Sequencing and Trajectory Triangulation (JOST) Enliang Zheng, Ke Wang, Enrique Dunn, Jan-Michael Frahm European Conference on Computer Vision (ECCV 2014) BibTex @inproceedings{DBLP:conf/eccv/ZhengWDF14, author = {Enliang Zheng and Ke Wang and Enrique Dunn and Jan-Michael Frahm}, title = {Joint Object Class Sequencing and Trajectory Triangulation (JOST)}, booktitle = {Computer Vision - {ECCV} 2014 - 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part {VII}}, pages = {599--614}, year = {2014} } Abstract We introduce the problem of joint object class sequencing and trajectory triangulation (JOST), which is defined as the reconstruction of the motion path of a class of dynamic objects through a scene from an unordered set of images. We leverage standard object detection techinques to identify object instances within a set of registered images. Each of these object detections defines a single 2D point with a corresponding viewing ray. The set of viewing rays attained from the aggregation of all detections belonging to a common object class is then used to estimate a motion path denoted as the object class trajectory. Our method jointly determines the topology of the objects motion path and reconstructs the 3D object points corresponding to our object detections. We pose the problem as an optimization over both the unknown 3D points and the topology of the path, which is approximated by a Generalized Minimum Spanning Tree (GMST) on a multipartite graph and then refined through a continuous optimization over the 3D object points. Experiments on synthetic and real datasets demonstrate the effectiveness of our method and the feasibility to solve a previously intractable problem. P-HRTF: Efficient personalized HRTF computation for high-fidelity spatial sound Alok Meshram, Ravish Mehra, Hongsheng Yang, Enrique Dunn, Jan-Michael Frahm, Dinesh Manocha IEEE International Symposium on Mixed and Augmented Reality (ISMAR 2014) BibTex @inproceedings{DBLP:conf/ismar/MeshramMYDFM14, author = {Alok Meshram and Ravish Mehra and Hongsheng Yang and Enrique Dunn and Jan-Michael Frahm and Dinesh Manocha}, title = {P-HRTF: Efficient personalized HRTF computation for high-fidelity spatial sound}, booktitle = {IEEE International Symposium on Mixed and Augmented Reality, {ISMAR} 2014, Munich, Germany, September 10-12, 2014}, pages = {53--61}, year = {2014} } Abstract Accurate rendering of 3D spatial audio for interactive virtual auditory displays requires the use of personalized head-related transfer functions (HRTFs). We present a new approach to compute personalized HRTFs for any individual using a method that combines state-of-the-art image-based 3D modeling with an efficient numerical simulation pipeline. Our 3D modeling framework enables capture of the listeners head and torso using consumer-grade digital cameras to estimate a high-resolution non-parametric surface representation of the head, including the extended vicinity of the listeners ear. We leverage sparse structure from motion and dense surface reconstruction techniques to generate a 3D mesh. This mesh is used as input to a numeric sound propagation solver, which uses acoustic reciprocity and Kirchhoff surface integral representation to efficiently compute an individuals personalized HRTF. The overall computation takes tens of minutes on multi-core desktop machine. We have used our approach to compute the personalized HRTFs of few individuals, and we present our preliminary evaluation here. To the best of our knowledge, this is the first commodity technique that can be used to compute personalized HRTFs in a lab or home setting Rotation estimation from cloud tracking Sangwoo Cho, Enrique Dunn, Jan-Michael Frahm IEEE Winter Conference on Applications of Computer Vision (WACV 14) BibTex @inproceedings{DBLP:conf/wacv/ChoDF14, author = {Sangwoo Cho and Enrique Dunn and Jan-Michael Frahm}, title = {Rotation estimation from cloud tracking}, booktitle = {IEEE Winter Conference on Applications of Computer Vision, Steamboat Springs, CO, USA, March 24-26, 2014}, pages = {917--924}, year = {2014} } Abstract We address the problem of online relative orientation estimation from streaming video captured by a sky-facing camera on a mobile device. Namely, we rely on the detection and tracking of visual features attained from cloud structures. Our proposed method achieves robust and efficient operation by combining realtime visual odometry modules, learning based feature classification, and Kalman filtering within a robustness-driven data management framework, while achieving framerate processing on a mobile device. The relatively large 3D distance between the camera and the observed cloud features is leveraged to simplify our processing pipeline. First, as an efficiency driven optimization, we adopt a homography based motion model and focus on estimating relative rotations across adjacent keyframes. To this end, we rely on efficient feature extraction, KLT tracking, and RANSAC based model fitting. Second, to ensure the validity of our simplified motion model, we segregate detected cloud features from scene features through SVM classification. Finally, to make tracking more robust, we employ predictive Kalman filtering to enable feature persistence through temporary occlusions and manage feature spatial distribution to foster tracking robustness. Results exemplify the accuracy and robustness of the proposed approach and highlight its potential as a passive orientation sensor. Combining semantic scene priors and haze removal for single image depth estimation Ke Wang, Enrique Dunn, Joseph Tighe, Jan-Michael Frahm IEEE Winter Conference on Applications of Computer Vision (WACV 2014) BibTex @inproceedings{DBLP:conf/wacv/WangDTF14, author = {Ke Wang and Enrique Dunn and Joseph Tighe and Jan-Michael Frahm}, title = {Combining semantic scene priors and haze removal for single image depth estimation}, booktitle = {IEEE Winter Conference on Applications of Computer Vision, Steamboat Springs, CO, USA, March 24-26, 2014}, pages = {800--807}, year = {2014} } Abstract We consider the problem of estimating the relative depth of a scene from a monocular image. The dark channel prior, used as a statistical observation of haze free images, has been previously leveraged for haze removal and relative depth estimation tasks. However, as a local measure, it fails to account for higher order semantic relationship among scene elements. We propose a dual channel prior used for identifying pixels that are unlikely to comply with the dark channel assumption, leading to erroneous depth estimates. We further leverage semantic segmentation information and patch match label propagation to enforce semantically consistent geometric priors. Experiments illustrate the quantitative and qualitative advantages of our approach when compared to state of the art methods. Increasing the Efficiency of Local Stereo by Leveraging Smoothness Constraints Yilin Wang, Enrique Dunn, Jan-Michael Frahm International Conference on 3D Imaging, Modeling, Processing, Visualization & Transmission (3DIMPVT 2012) BibTex @inproceedings{DBLP:conf/3dim/WangDF12, author = {Yilin Wang and Enrique Dunn and Jan-Michael Frahm}, title = {Increasing the Efficiency of Local Stereo by Leveraging Smoothness Constraints}, booktitle = {2012 Second International Conference on 3D Imaging, Modeling, Processing, Visualization & Transmission, Zurich, Switzerland, October 13-15, 2012}, pages = {246--253}, year = {2012} } Abstract We introduce a novel framework for efficient stereo disparity estimation leveraging the spatial smoothness typically assumed in stereo and formalized by the various smoothness constraints. The smoothness constraint presumes that a neighboring set of pixels shares the same disparity or the disparity varies smoothly. Our key insight is that it hence suffices to evaluate any single one of those pixels at the correct disparity to identify a valid estimate for the entire set. We leverage this insight into the formulation of a complexity reducing mechanism. We distribute the exploration of the disparity search space among neighboring pixels, effectively reducing the set of disparity hypothesis evaluated at each individual pixel. Moreover, we integrate a recently proposed concept to deploy sparsity within this neighborhood of distributed disparities into our novel mechanism, in order to further reduce the computational burden. Our experiments clearly demonstrate the effectiveness of our approach by achieving comparable results to the baseline of exhaustive disparity search. The analysis of the computational complexity of our proposed mechanisms illustrates how, by making moderate assumptions on the smoothness of the observed scene, we can reduce the computational complexity of local stereo disparity search by upwards of two orders of magnitude while maintaining the comparable result quality. Efficient and Scalable Depthmap Fusion Enliang Zheng, Enrique Dunn, Rahul Raguram, Jan-Michael Frahm British Machine Vision Conference (BMVC 2012) BibTex @inproceedings{DBLP:conf/bmvc/ZhengDRF12, author = {Enliang Zheng and Enrique Dunn and Rahul Raguram and Jan-Michael Frahm}, title = {Efficient and Scalable Depthmap Fusion}, booktitle = {British Machine Vision Conference, {BMVC} 2012, Surrey, UK, September 3-7, 2012}, pages = {1--12}, year = {2012} } Abstract The estimation of a complete 3D model from a set of depthmaps is a data intensive task aimed at mitigating measurement noise in the input data by leveraging the inherent redundancy in overlapping multi-view observations. In this paper we propose an effi- cient depthmap fusion approach that reduces the memory complexity associated with volumetric scene representations. By virtue of reducing the memory footprint we are able to process an increased reconstruction volume with greater spatial resolution. Our approach also improves upon state of the art fusion techniques by approaching the problem in an incremental online setting instead of batch mode processing. In this way, are able to handle an arbitrary number of input images at high pixel resolution and facilitate a streaming 3D processing pipeline. Experiments demonstrate the effectiveness of our proposal both at 3D modeling from internet-scale crowd source data as well as close-range 3D modeling from high resolution video streams Comparative Evaluation of Binary Features Jared Heinly, Enrique Dunn, Jan-Michael Frahm European Conference on Computer Vision (ECCV 2012) BibTex @inproceedings{DBLP:conf/eccv/HeinlyDF12, author = {Jared Heinly and Enrique Dunn and Jan-Michael Frahm}, title = {Comparative Evaluation of Binary Features}, booktitle = {Computer Vision - {ECCV} 2012 - 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012, Proceedings, Part {II}}, pages = {759--773}, year = {2012} } Abstract Performance evaluation of salient features has a long-standing tradition in computer vision. In this paper, we fill the gap of evaluation for the recent wave of binary feature descriptors, which aim to provide robustness while achieving high computational efficiency. We use established metrics to embed our assessment into the body of existing evaluations, allowing us to provide a novel taxonomy unifying both traditional and novel binary features. Moreover, we analyze the performance of different detector and descriptor pairings, which are often used in practice but have been infrequently analyzed. Additionally, we complement existing datasets with novel data testing for illumination change, pure camera rotation, pure scale change, and the variety present in photo-collections. Our performance analysis clearly demonstrates the power of the new class of features. To benefit the community, we also provide a website for the automatic testing of new description methods using our provided metrics and datasets (www.cs.unc.edu/feature-evaluation). Disparity Map Estimation by Combining Cost Volume Measures Using Genetic Programming Enrique Naredo, Enrique Dunn, Leonardo Trujillo EVOLVE - A Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation (EVOLVE 2012) BibTex @inproceedings{DBLP:conf/evolve/NaredoDT12, author = {Enrique Naredo and Enrique Dunn and Leonardo Trujillo}, title = {Disparity Map Estimation by Combining Cost Volume Measures Using Genetic Programming}, booktitle = {{EVOLVE} - {A} Bridge between Probability, Set Oriented Numerics, and Evolutionary Computation II, {EVOLVE} 2012, Mexico City, Mexico, August 7-9, 2012, Proceedings}, pages = {71--86}, year = {2012} } Abstract Stereo vision is one of the most active research areas in modern computer vision. The objective is to recover 3-D depth information from a pair of 2-D images that capture the same scene. This paper addresses the problem of dense stereo correspondence, where the goal is to determine which image pixels in both images are projections of the same 3-D point from the observed scene. The proposal in this work is to build a non-linear operator that combines three well known methods to derive a correspondence measure that allows us to retrieve a better approximation of the ground truth disparity of stereo image pair. To achieve this, the problem is posed as a search and optimization task and solved with genetic programming (GP), an evolutionary paradigm for automatic program induction. Experimental results on well known benchmark problems show that the combined correspondence measure produced by GP outperforms each standard method, based on the mean error and the percentage of bad pixels. In conclusion, this paper shows that GP can be used to build composite correspondence algorithms that exhibit a strong performance on standard tests. An Approach for Shape from Surface Normals with Local Discontinuity Detection Yilin Wang, Enrique Dunn, Jan-Michael Frahm International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission (3DIMPVT 2011) BibTex @inproceedings{DBLP:conf/3dim/WangDF11, author = {Yilin Wang and Enrique Dunn and Jan-Michael Frahm}, title = {An Approach for Shape from Surface Normals with Local Discontinuity Detection}, booktitle = {International Conference on 3D Imaging, Modeling, Processing, Visualization and Transmission, 3DIMPVT 2011, Hangzhou, China, 16-19 May 2011}, pages = {188--195}, year = {2011} } Abstract We present a multi-modal surface reconstruction approach, which utilizes direct surface orientation measurements along with luminance information to obtain high quality 3D reconstructions. The proposed approach models local surface geometry as a set of intersecting natural cubic splines estimated through least squares fitting of our input pixel-wise surface normal measurements. We use this representation to detect discontinuities and segment our scene into disjoint continuous surfaces, which are constructed by an aggregation of connected local surface geometry elements. In order to obtain absolute depth estimates, we introduce the concept of multi-view patch sweeping, where we search for the most photo-consistent patch displacement along a viewing ray. Our approach improves on existing shape from normals methods by enabling absolute depth estimates for scenes with multiple objects. Furthermore, in contrast to existing multi-view stereo methods, we are able to reconstruct textureless regions through the propagation of relative surface orientation measurements. Experiments on synthetic and real data are presented to validate our proposal. Adaptive Scale Selection for Hierarchical Stereo Yi-Hung Jen, Enrique Dunn, Pierre Fite Georgel, Jan-Michael Frahm British Machine Vision Conference (BMVC 2011) BibTex @inproceedings{DBLP:conf/bmvc/JenDGF11, author = {Yi-Hung Jen and Enrique Dunn and Pierre Fite Georgel and Jan-Michael Frahm}, title = {Adaptive Scale Selection for Hierarchical Stereo}, booktitle = {British Machine Vision Conference, {BMVC} 2011, Dundee, UK, August 29 - September 2, 2011. Proceedings}, pages = {1--10}, year = {2011} } Abstract Hierarchical stereo provides an efficient coarse-to-fine mechanism for disparity map estimation. However, common drawbacks of such an approach include the loss of high frequency structures not observable at coarse scale levels, as well as the unrecoverable propagation of erroneous disparity estimates through the scale space. This paper presents an adaptive scale selection mechanism to determine a suitable resolution level from which to begin the hierarchical depth estimation process for each pixel. The proposed scale selection mechanism allows us to robustly implement variable cost aggregation in order to reduce the variability of the photo-consistency measure across scale space. We also incorporate a weighted shiftable window mechanism to enable error correction during coarse-to-fine depth refinement. Experiments illustrate the effectiveness of our approach in terms of disparity accuracy, while attaining a computational efficiency compromise between full resolution and hierarchical disparity map estimation. A geometric solver for calibrated stereo egomotion Enrique Dunn, Brian Clipp, Jan-Michael Frahm IEEE International Conference on Computer Vision (ICCV 2011) BibTex @inproceedings{DBLP:conf/iccv/DunnCF11, author = {Enrique Dunn and Brian Clipp and Jan-Michael Frahm}, title = {A geometric solver for calibrated stereo egomotion}, booktitle = {IEEE International Conference on Computer Vision, {ICCV} 2011, Barcelona, Spain, November 6-13, 2011}, pages = {1187--1194}, year = {2011} } Abstract This paper introduces a novel geometrical solution for the pose estimation of a stereo camera system as commonly used in robotics, where the camera system balances between coverage and overlap. The proposed approach considers a set of features observed, respectively, in four, three and two views. In contrast to most algebraic solutions our constraints are geometrically meaningful. Initially, we use a four view feature to restrict our translation vector to lie on the surface of a sphere while setting orientation as a function of translation up to a single rotational degree of freedom. Next, we use a three view feature to restrict the translation vector to lie on a circle on the sphere, while completely defining orientation as a function of translation. Finally, we use a two view feature to determine the translation vector lying on the intersection of the circle and one of the generator lines of a doubly ruled quadric. We show how for this final step, the problem can be reduced to the intersection of two coplanar circles. We also analyze the degenerate configurations of the proposed solver and perform an experimental evaluation. Building Rome on a Cloudless Day Jan-Michael Frahm, Pierre Fite Georgel, David Gallup, Tim Johnson, Rahul Raguram, Changchang Wu, Yi-Hung Jen, Enrique Dunn, Brian Clipp, Svetlana Lazebnik European Conference on Computer Vision (ECCV 2010) BibTex @inproceedings{DBLP:conf/eccv/FrahmGGJRWJDCL10, author = {Jan-Michael Frahm and Pierre Fite Georgel and David Gallup and Tim Johnson and Rahul Raguram and Changchang Wu and Yi-Hung Jen and Enrique Dunn and Brian Clipp and Svetlana Lazebnik}, title = {Building Rome on a Cloudless Day}, booktitle = {Computer Vision - {ECCV} 2010, 11th European Conference on Computer Vision, Heraklion, Crete, Greece, September 5-11, 2010, Proceedings, Part {IV}}, pages = {368--381}, year = {2010} } Abstract This paper introduces an approach for dense 3D reconstruc- 7 8 tion from unregistered Internet-scale photo collections with about 3 mil- 8 9 lion of images within the span of a day on a single PC (cloudless). Our 9 10 method advances image clustering, stereo, stereo fusion and structure 10 11 from motion to achieve high computational performance. We leverage 11 12 geometric and appearance constraints to obtain a highly parallel imple- 12 13 mentation on modern graphics processors and multi-core architectures. 13 14 This leads to two orders of magnitude higher performance on an order 14 15 of magnitude larger dataset than competing state-of-the-art approaches. Next Best View Planning for Active Model Improvement Enrique Dunn, Jan-Michael Frahm British Machine Vision Conference, {BMVC} 2009 BibTex @inproceedings{DBLP:conf/bmvc/DunnF09, author = {Enrique Dunn and Jan-Michael Frahm}, title = {Next Best View Planning for Active Model Improvement}, booktitle = {British Machine Vision Conference, {BMVC} 2009, London, UK, September 7-10, 2009. Proceedings}, pages = {1--11}, year = {2009} } Abstract We propose a novel approach to determining the Next Best View (NBV) for the task of efficiently building highly accurate 3D models from images. Our proposed method deploys a hierarchical uncertainty driven model refinement process designed to select vantage viewpoints based on the models covariance structure and appearance, as well as the camera characteristics. The developed NBV planning system incrementally builds a sensing strategy by sequentially finding the single camera placement, which best reduces an existing models 3D uncertainty. The generic nature of our systems design and internal data representation makes it well suited to be applied to a wide variety of 3D modeling algorithms. It can be used within active computer vision systems as well as for optimized view selection from the set of available views. Experimental results are presented to illustrate the effectiveness and versatility of our approach. Developing visual sensing strategies through next best view planning Enrique Dunn, Jur P. van den Berg, Jan-Michael Frahm IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2009) BibTex @inproceedings{DBLP:conf/iros/DunnBF09, author = {Enrique Dunn and Jur P. van den Berg and Jan-Michael Frahm}, title = {Developing visual sensing strategies through next best view planning}, booktitle = {2009 {IEEE/RSJ} International Conference on Intelligent Robots and Systems, October 11-15, 2009, St. Louis, MO, {USA}}, pages = {4001--4008}, year = {2009} } Abstract We propose an approach for acquiring geometric 3D models using cameras mounted on autonomous vehicles and robots. Our method uses structure from motion techniques from computer vision to obtain the geometric structure of the scene. To achieve an efficient goal-driven resource deployment, we develop an incremental approach, which alternates between an accuracy-driven next best view determination and recursive path planning. The next best view is determined by a novel cost function that quantifies the expected contribution of future viewing configurations. A sensing path for robot motion towards the next best view is then achieved by a cost-driven recursive search of intermediate viewing configurations. We discuss some of the properties of our view cost function in the context of an iterative view planning process and present experimental results on a synthetic environment. Individual Evolution as an Adaptive Strategy for Photogrammetric Network Design Gustavo Olague, Enrique Dunn, Evelyne Lutton Adaptive and Multilevel Metaheuristics BibTex @incollection{DBLP:series/sci/OlagueDL08, author = {Gustavo Olague and Enrique Dunn and Evelyne Lutton}, title = {Individual Evolution as an Adaptive Strategy for Photogrammetric Network Design}, booktitle = {Adaptive and Multilevel Metaheuristics}, pages = {157--176}, year = {2008} } Abstract This chapter introduces individual evolution as a strategy for problem solving. This strategy proposes to partition the original problem into a set of homogeneous elements, whose individual contribution to the problem solution can be evaluated separately. A population comprised of these homogeneous elements is evolved with the goal of creating a single solution by a process of aggregation. The goal of individual evolution is to locally build better individuals that jointly form better global solutions. The implementation of the proposed approach requires addressing aspects such as problem decomposition and representation, local and global fitness integration, as well as diversity preservation mechanisms. The benefit of applying the individual evolution approach for problem solving is a substantial reduction in computational effort expended in the evolutionary optimization process. This chapter shows an example from vision metrology where experimental results coincide with previous state of the art photogrammetric network design methodologies, while incurring in only a fraction of the computational cost. Parisian camera placement for vision metrology Enrique Dunn, Gustavo Olague, Evelyne Lutton Pattern Recognition Letters BibTex @article{DBLP:journals/prl/DunnOL06, author = {Enrique Dunn and Gustavo Olague and Evelyne Lutton}, title = {Parisian camera placement for vision metrology}, journal = {Pattern Recognition Letters}, volume = {27}, number = {11}, pages = {1209--1219}, year = {2006} } Abstract This paper presents a novel camera network design methodology based on the Parisian evolutionary computation approach. This methodology proposes to partition the original problem into a set of homogeneous elements, whose individual contribution to the problem solution can be evaluated separately. A population comprised of these homogeneous elements is evolved with the goal of creating a single solution by a process of aggregation. The goal of the Parisian evolutionary process is to locally build better individuals that jointly form better global solutions. The implementation of the proposed approach requires addressing aspects such as problem decomposition and representation, local and global fitness integration, as well as diversity preservation mechanisms. The benefit of applying the Parisian approach to our camera placement problem is a substantial reduction in computational effort expended in the evolutionary optimization process. Moreover, experimental results coincide with previous state of the art photogrammetric network design methodologies, while incurring in only a fraction of the computational cost. CURRICULUM VITAE Enrique Dunn joined Stevens' Department of Computer Science as an Associate Professor in August 2016. Dr. Dunn earned a degree in computer engineering from the Autonomous University of Baja California (Mexico) in 1999. He completed a Masters degree in Computer Science in 2001 and a Doctorate in Science in Electronics and Telecommunications in 2006, both from the Ensenada Center for Scientific Research and Higher Education (Mexico). During his doctorate studies, Dr. Dunn carried out research while visiting the French Institute for Research in Computer Science and Control in Rocquencourt. He joined the Department of Computer Science of the University of North Carolina at Chapel Hill as a visiting scholar in 2008, after being awarded a one year Postdoctoral Fellowship for Studies Abroad by the National Council for Science and Technology (Mexico). He remained with UNC-CH CS Department as a postdoctoral researcher until he became a Research Assistant Professor in 2012. Dr. Dunn has authored over 40 papers in international conferences and journals. He is a member of the Editorial Board of Elsevier Journal of Image and Vision Computing. ADDRESS 1 Castle Point Terrace North Bldg. Office 219 EMAIL edunn[AT]stevens.edu PHONE 201.216.3382 diff --git a/src/data/compiled_bios/4362.txt b/src/data/compiled_bios/4362.txt new file mode 100644 index 0000000000..b0679ccc09 --- /dev/null +++ b/src/data/compiled_bios/4362.txt @@ -0,0 +1 @@ + Samantha Kleinberg Home Publications Teaching Data Books cv About me [book webpage] [O'Reilly] [Amazon] [Cambridge] [Amazon] [book webpage] I'm an Associate Professor in the Computer Science department at Stevens Institute of Technology . After completing my PhD in Computer Science in 2010 at NYU , I spent two years as a postdoctoral Computing Innovation Fellow at Columbia University, in the Department of Biomedical Informatics . Before that I was an undergraduate at NYU in Computer Science and Physics. I've written an academic book, Causality, Probability, and Time , and another for a wider audience, Why: A Guide To Finding and Using Causes , that was published in 2015. Health and AI Lab website We are primarily motivated by trying to improve human health, through the development of artificial intelligence methods. Most of these problems come back to the question of why things happen or how they change, so we focus on causal inference and time series data. We look at both clinical data as well as data generated outside of hospitals and aim to support both medical providers and patients in their decision making. Key application areas include stroke and diabetes. We are also working on devices that can automatically measure food intake, using body-worn sensors. Lab members Min Zheng (PhD student), Mark Mirtchouk (PhD student), Tolga Yavuz (PhD student), Selcuk Karakas (PhD student), Dana McGuire (Undergraduate researcher), Kyle Bernardes (Undergraduate researcher), Dylan DiGeronimo (Undergraduate researcher). Our mascot is the Honey Badger, for obvious reasons. Recent courses Fall 2018 Causal Inference [CS-582] Spring 2018 Health Informatics [CS-544] Current Funding James S. McDonnell Foundation Scholar Award, NSF CAREER Award, NIH R01 samantha.kleinberg@stevens.edu (email is my preferred contact method) Lab twitter: @HealthAI_Lab Current Openings We're hiring postdocs and seeking undergrad and grad students. Join us! News September 2018 I've been promoted to Associate professor, with tenure! July 2018 New paper: Automated Identification of Causal Moderators in Time-Series Data published at the KDD Causal Discovery Workshop March 2018 Time and Causality across the Sciences , an edited volume based on TaCitS 2017, is under contract with Cambridge University Press November 2017 New paper: Multi-Scale Change Point Detection in Multivariate Time Series accepted to the NIPS Time Series Workshop August 2017 Two new papers: Replicability, Reproducibility, and Agent-based Simulation of Interventions accepted to AMIA 2017 Recognizing Eating from Body-Worn Sensors: Combining Free-living and Laboratory Data accepted to IMWUT, and to be presented at UbiComp 2017 diff --git a/src/data/compiled_bios/4363.txt b/src/data/compiled_bios/4363.txt new file mode 100644 index 0000000000..bfa623ab38 --- /dev/null +++ b/src/data/compiled_bios/4363.txt @@ -0,0 +1 @@ + Eric Koskinen Home Opportunities Publications Research Projects Academic Activities Consulting Eric Koskinen Assistant Professor Stevens Institute of Technology (201) 216 5071 eric.koskinen@stevens.edu I am an Assistant Professor at Stevens Institute of Technology. Previously, I was a Lecturer/Researcher at Yale University and a Visiting Professor at New York University. I received a Ph.D in Computer Science from the University of Cambridge. I also spent time at IBM Watson, Microsoft, and from 2002-2005, I was a Software Engineer at Amazon.com. My research yields techniques that improve the way programmers develop reliable and efficient concurrent software for multi-core and distributed systems. To this end, I have made advances along a spectrum of fields, ranging from systems/concurrency methodologies to foundational results in formal methods. Recent Activities Dec 2018: Joined the PC for the PLDI 2019 Student Research Competition (SRC) Nov 2018: Joined the POPL 2020 PC Nov 2018: Visiting UCL, Microsoft, Facebook. Aug 2018: Joined the OOPSLA 2019 PC and PLDI 2019 ERC. Apr 2018: Cyrus Liu was accepted to OPLSS 2018 . Mar 2018: Our work on deductive fixpoint logic for temporal verification of higher-order programs was accepted to LICS 2018. NEW Feb 2018: Our work on concurrent smart contracts was invited to the Bulletin of the EATCS . NEW Jan 2018: Our paper was accepted to the Workshop on Trusted Smart Contracts . Dec 2017: Our paper on Synthesizing Commutativity conditions [ PDF ] was accepted to TACAS 2018. NEW Jul 2017: Joined the PODC 2018 program committee. Jun 2017: Awarded a grant from the Office of Naval Research (ONR) involving automatic software verification. NEW May 2017: Joined the PPoPP 2018 and VMCAI 2018 program committees. Apr 2017: Our a new technique for parallelizing Ethereum Smart Contracts was accepted to PODC 2017. Apr 2017: Delighted to announce that I am joining the faculty at Stevens Institute , effective August 2017! Feb 2017: We have designed a new high-performance Scala-based TM implementation called Proust [ web ] [ pdf ] Feb 2017: Our paper on Decomposing k-Safety for verifying absence of side-channel attacks was accepted to PLDI 2017. Nov 2016: Our paper on Corrective Synchronization was accepted to VMCAI 2017. July 2016: LICS 2016 was a success! Thanks to all who helped! May 2016: Awarded a new NSF grant on verification and concurrency Jan 2016: Presented our paper, Reducing Crash Recoverability to Reachability at POPL 2016. [ Slides ] Continue to: Full List of Publication Full List of Activities Group Ton Chanh Le , Research Scholar Cyrus Liu , PhD student Drew Malzahn, Master's Feng Guo, Master's We are hiring talented PhD students to join us at Stevens! Please contact me if you are interested. Previous Members Paul Gazzillo , Research Scholar Timos Antonopoulos (Yale) Postdoctoral Researcher Brian Zawisza, Undergraduate Ruben Zaccaroni, Undergraduate (NYU) Patrick Yuen, Undergraduate (NYU) Opportunities I am currently accepting applications for PhD students in the area of programming languages, formal methods and concurrency. Stevens Computer Science is a rapidly expanding department, with a growing Programming Languages faculty including Eduardo Bonelli , Adriana Compagnoni , Dominic Duggan , Georgios Portokalidis , Eric Koskinen , and David Naumann . We are looking for talented young researchers to join. Successful applicants are expected to participate in a rigorous research program on topics such as programming languages, formal verification, automated reasoning, logic, program analysis, types, concurrency and temporal logic. We have an active group of students, postdoctoral researchers, and faculty. New students will collaborate with current researchers and students at Stevens, as well as with other faculty members active in the area of programming languages, types, verification, security and systems. PhD student applicants must have BS degree in Computer Science or a closely related field. An MS degree is not required and students can start in the fall or spring semester. All PhD students are fully funded, including their tuition and a generous stipend. Interested applicants should email me their CV ( eric.koskinen@stevens.edu ) and submit an application via http://www.stevens.edu/ses/cs/graduate/doctorate . Publications Drafts Vertical Composition of Reversible Atomic Objects T Antonopoulos, P Gazzillo, E Koskinen, Z Shao Under submission . July 2016. Games Programs Play: Analyzing Multiplayer Programs E Koskinen, H Unno, M Vardi Under submission . July 2016 Conferences 2018 Dependent Temporal Effects and a Fixpoint Logic for Verification [ Slides ] NEW Y Nanjo, H Unno, E Koskinen, T Terauchi. LICS 2018 Automatic Generation of Precise and Useful Commutativity Conditions NEW K Bansal, E Koskinen, O Tripp. TACAS 2018 2017 Adding Concurrency to Smart Contracts NEW T Dickerson, P Gazzillo, M Herlihy, E Koskinen. PODC 2017 Proust: A Design Space for Highly-Concurrent Transactional Data Structures T Dickerson, P Gazzillo, M Herlihy, E Koskinen. PODC 2017 (Brief Announcement) Decomposition Instead of Self-Composition for Proving the Absence of Timing Channels NEW T Antonopoulos, P Gazzillo, M Hicks, E Koskinen, T Terauchi, S Wei PLDI 2017 Using Abstract Interpretation to Correct Synchronization Faults P Ferrara, O Tripp, P Liu, E Koskinen VMCAI 2017 2016 Reducing Crash Recoverability to Reachability [ Slides ] E Koskinen, J Yang. POPL 2016 2015 The Push/Pull model of transactions [ Slides ] [ Technical Report ] E Koskinen, M Parkinson. PLDI 2015 2014 Local Temporal Reasoning [ Full version ] E Koskinen, T Terauchi. LICS 2014 Commutativity Race Detection D Dimitrov, V Raychev, M Vechev, E Koskinen. PLDI 2014 Composable Transactional Objects: A Position Paper M Herlihy (Invited talk), E Koskinen. ESOP 2014 2013 Turning Nondeterminism into Parallelism O Tripp, E Koskinen, M Sagiv. OOPSLA 2013 Reasoning about nondeterminsim in software [ slides ] Addendum: A note on support for Strong Until B Cook, E Koskinen. PLDI 2013 Structural Counter Abstraction K Bansal, E Koskinen, T Wies, D Zufferey. TACAS 2013 2011 Temporal property verification as a program analysis task [ TR ] [ Slides ] B Cook, E Koskinen, M Vardi. CAV 2011 Award paper Making Prophecies with Decision Predicates [ TR ] [ Slides ] B Cook, E Koskinen. POPL 2011 2010 Coarse-Grained Transactions [ TR ] [ Slides ] E Koskinen, M Parkinson, M Herlihy. POPL 2010 2009 Concurrent Non-commutative Boosted Transactions E Koskinen, M Herlihy. PODC 2009 (Brief Announcement) Control-Flow Refinement and Progress Invariants for Bound Analysis [ Slides ] S Gulwani, S Jain, E Koskinen. PLDI 2009 2008 Dreadlocks: Efficient Deadlock Detection E Koskinen, M Herlihy. SPAA 2008 Checkpoints and Continuations instead of Nested Transactions E Koskinen, M Herlihy. SPAA 2008 Transactional Boosting: A Methodology for Highly-Concurrent Transactional Objects [ TR ] [ Talk ] M Herlihy, E Koskinen. PPoPP 2008 BorderPatrol: Isolating Events for Black-box Tracing E Koskinen, J Jannotti. EuroSys 2008 Workshops Proof-Carrying Smart Contracts Workshop on Trusted Smart Contracts ( WTSC 2018 ) Commutativity Condition Refinement (EC2) 2015 Local Temporal Reasoning HCSS 2014 Reasoning about nondeterminism in programs HCSS 2012 Concurrent Non-commutative Boosted Transactions E Koskinen, M Herlihy. TRANSACT 2009 Dreadlocks: Efficient Deadlock Detection M Herlihy, E Koskinen TRANSACT 2008 Checkpoints and Continuations instead of Nested Transactions M Herlihy, E Koskinen. TRANSACT 2008 Journals, Theses How to add concurrency to smart contracts T Dickerson, P Gazzillo, M Herlihy, E Koskinen. Bulletin of the EATCS , No. 124 Temporal property verification as a program analysis task [Extended version] Selected to appear in the CAV 2011 Special Issue. B Cook, E Koskinen, M Vardi FMSD 2012 Temporal verification of programs E Koskinen Doctoral Dissertation. University of Cambridge. 2012. Projects Automatic Verification of Temporal Alignment (AVTA) Support from ONR With Stephen Magill (Galois), Timos Antonopoulos (Yale), Ton-Chanh Le, Cyrus Liu (Description forthcoming) Safety/Liveness Verification of Modern Languages Support from JSPS and NYU Office of the Provost (While at NYU) Problem Programming languages that use higher-order functionality (e.g. Java, C#, F#, Haskell, Ocaml, Perl, Python, Ruby) have become commonplace. Higher-order language features such as map, grep, Google's Map/Reduce, are used widely and applauded for their simplicity and modularity. While recent techniques have enabled automatic verification of safety/liveness for some industrial software systems, these techniques have been mostly limited to imperative first-order software and cannot be applied to higher-order programming languages. Approach In an ongoing project, we are demonstrating how one can enrich a language's type system to include temporal logic effects. As we recently showed , these temporal effects can coexist with dependent types to express a wide range of specifications including safety (e.g. method foo(x,f) will not invoke f if x<0), termination (e.g. bar(y) terminates whenever y>0), and mixtures of the two. Accomplishments A novel type-and-effect system Awarded a grant from NYU Office of the Provost Awarded a fellowship from the Japan Society for the Promotion of Science Paper in LICS 2014 Implementation in progress Background publications including POPL'11 , CAV'11 , FMSD'12 , PLDI'13 . Programming Models for Multicore Concurrency Support from NSF ( 1618059 and 1421126 ) Problem The recent shift towards concurrent computation has necessitated that we re-think programming. This has lead to a myriad of libraries and language extensions and it is often difficult to understand their respective correctness. Approach We must enrich our programming languages so that they can incorporate concurrency directly. In this ongoing project, our first objective is to crystalize and formalize effective concurrent programming models. The design goal is for these models to unify existing implementations into a common model. Accomplishments Awarded a grant ($250,000) from the NSF Synthesizing commutativity conditions ( TACAS'18 ) Developed the Push/Pull model of transactions ( PLDI'15 ) Developed commutativity race detector ( PLDI'14 ) Implementation in progress Background publications including POPL'10 , PPoPP'08 , SPAA'08a , SPAA'08b . Proving Crash Recoverability With Junfeng Yang (Columbia), Feng Gou and Drew Malzahn Problem Software applications run on a variety of platforms (filesystems,virtual slices, mobile hardware, etc.) that do not provide 100% uptime. These applications may crash at any unfortunate moment losing volatile data and, when re-launched, they must be able to correctly recover from potentially inconsistent states left on persistent storage. From a verification perspective, crash recovery bugs can be particularly frustrating because, even when it has been formally proved for a program $P$ that $P \models \varphi$, the proof is foiled by these external events that crash and restart the program. Approach In this project we are seeking to find formal specifications of crash recoverability , as well as algorithmic verification techniques to automatically prove recoverability . Accomplishments Developed a reduction to automaton reachability. Proved recoverability of examples from GDBM, LevelDB, LMDB, PostgreSQL, SQLite, VMware and ZooKeeper. Paper in POPL 2016 Academic Activities Service OOPSLA 2019 program committee PLDI 2019 exernal review committee PODC 2018 program committee PPoPP 2018 program committee VMCAI 2018 program committee LICS 2016 conference chair and steering committee PPoPP 2016 external review committee POPL 2016 external review committee ECCOP 2016 external review committee ICALP 2015 program committee FMCAD 2014 external review committee POPL 2013 program committee SPAA 2012 program committee OPODIS 2012 program committee Yak International organizer Funding Awards ONR award to study temporal logic-based automatic software verification. June 2017. NEW NSF Award to work on verification of concurrent systems. June 2016. DARPA award to study complexity analysis. December 2014. NSF Award to work on concurrent languages and verification. June 2014. Office of the Provost, New York University. $ 17,000. June 2014. Japan Society for Promotion of Science (JSPS). 1,000,000 JPY. September 2012. Gates Scholarship. February 2007. Teaching Societal Impact of Information Technologies: Fall 2018, Fall 2017 NEW Introduction to Computer Science II, Honors: Spring 2018 Cloud-Scale Software Engineering: Spring 2017 (Yale). Object-Oriented Programming: Fall 2014 (NYU). Data Structures: Spring 2014 (NYU), Fall 2013 (NYU) Thesis Examination Thomas Dickerson (Brown), Thesis Examination, exp. Kshitij Bansal (NYU), Thesis Examination, 2016 Paul Gazzillo (NYU), Thesis Examination, 2015 Jingyue Wu (Columbia), Thesis Examination, 2014 Education PhD, Computer Science, University of Cambridge, 2012. Gates Scholarship. Sc.M, Computer Science, Brown University, 2008. B.S., Highest Honors, Computer Science and Physics, College of William & Mary, 2001. Employment Assistant Professor, Stevens Institute of Technology Lecturer and Research Scientist, Yale University Research Staff Member, IBM TJ Watson Research Center Research Scientist; Visiting Assistant Professor, New York University. Visiting Professor, Nagoya University, Japan Research Intern, Microsoft Research Cambridge & Redmond Software Engineer at Amazon.com / IMDb Visits and Invited Talks NYU, New York, Robust Concurrent Software from Commutativity & Atomicity , Dec 2016. Columbia University, New York, Robust Concurrent Software from Commutativity & Atomicity , Nov 2016. Boston University, Boston, Temporal Verification of Programs , Nov 2016. NJPLS, Reversible Atomic Objects , Sep 2016. NFSC-JSPS Joint Research Workshop, Proving Crash Recoverability . Kyoto. July 2015. IBM PL Day, IBM Research, New York, The Push/Pull Model of Transactions , Nov 2014. Microsoft Research, Cambridge, UK, Local Temporal Reasoning , July 2014. University College, London, UK, Local Temporal Reasoning , July 2014. Yale University, Local Temporal Reasoning , Mar 2014. Rice University, Local Temporal Reasoning , Mar 2014. Cornell University, Local Temporal Reasoning , Feb 2014. IBM Research, New York, Local Temporal Reasoning , Feb 2014. NYU, New York, Local Temporal Reasoning , Jan 2014. Tokyo University, Japan, Temporal verification of programs , May 2013. Nagoya University, Japan, Temporal verification of programs , Apr 2013. ETH Zurich, Switzerland, Commutativity Race Detection , Feb 2013. Queen Mary University, London, Specialization for Synchronization , Feb 2013. NEC Research, Reasoning about Nondeterminism in Programs , Mar 2013. Microsoft Research, A Theory of Serializabile Transactions , Nov 2012. CMACS NSF PI Meeting, Reasoning about Nondeterminism in Programs , Oct 2012. IBM PL Day, Reasoning about Nondeterminism in Programs , Jun 2012. High Confidence Software and Systems, Reasoning about Nondeterminism in Programs , May 2012. Vienna Sci. Tech. Fund, Austria, Data-structure Commutativity for Multicore Processing , Dec 2011. NJPLS, Reasoning about Nondeterminism in Programs , Oct 2011. IBM TJ Watson Research Lab, Systems Code Verification: A Moving Target , Apr 2011. RiSE Seminar, IST Austria, Systems Code Verification: A Moving Target , Apr 2011. Microsoft Research Cambridge, Systems Code Verification: A Moving Target , Mar 2011. Oxford University, Branching-time reasoning for general-purpose programs , May 2010. University of Maryland, Making prophecies with decision predicates , May 2010. IBM TJ Watson Research Lab, Making prophecies with decision predicates , Feb 2010. Sun Microsystems, Boston. The College of William & Mary, Symbolic bound analysis , February 12, 2009. Queen Mary University of London, Symbolic bound analysis , Dec 2008. Microsoft Research, Symbolic bound analysis , September 2008. Consulting Intellectual Property I have served as a source code expert on several litigations, including patent infringement and trade secrets cases. Recently, I worked with the following firms and (respective) cases: FitBit vs. Jawbone. Source Code Expert. Gibson Dunn, atty. ITC Investigation No. 337-TA-973. Confluence, Intl. vs Minnesota Department of Transportation. Testifying Expert. Walsten & Te Slaa, attys. ( undisclosed ), Source Code Expert, Trade Secrets case, 2014 - 2016. Samsung vs. Ericsson . Kikland & Ellis LLP, atty. Source Code Expert, Mobile Phone Technology, Spring 2013 - Winter 2014. District Court Civil Action No. 6:12-cv-00894-LED. Samsung vs. Ericsson . Kikland & Ellis LLP, atty. Source Code Expert, Mobile Phone Technology. ITC Investigation No. 337-TA-866. Samsung vs. Ericsson Irell & Manella LLP, Source Code Expert, Winter 2013 diff --git a/src/data/compiled_bios/4364.txt b/src/data/compiled_bios/4364.txt new file mode 100644 index 0000000000..0d3d6153b1 --- /dev/null +++ b/src/data/compiled_bios/4364.txt @@ -0,0 +1 @@ + Philippos Mordohai Associate Professor Department of Computer Science Stevens Institute of Technology Office: North Building 209 Phone Number: +1 201 216 5611 E-mail: mordohai_at_cs.stevens.edu Home Research Publications Teaching Service, Awards and Other Activities CV (pdf) NEWS I will serve as one of the program chairs of 3DV 2019. I will serve as an area chair for CVPR 2019 and ICCV 2019. Mohammed Kutbi defended his Ph.D. in November! I am teaching CS 188: Seminar in Computer Science and CS 677: Parallel Programming for Many-core Processors in the Spring 2019 semester. I have received outstanding reviewer awards from ACCV 2010, CVPR 2011, ICCV 2011, CVPR 2012, ECCV 2012, ICCV 2013, ECCV 2014, CVPR 2016, ECCV 2016, CVPR 2017 and CVPR 2018. Not sure what this means for my priorities in time allocation... M.S. ADVISING I am no longer a graduate advisor. Please see the FAQ before contacting your advisor. Many of the answers are already there. Orientation notes for the Fall 2016 semester. EDUCATION Ph.D. in Electrical Engineering at the University of Southern California (2005). Master of Science in Electrical Engineering at the University of Southern California (2000). Diploma in Electrical and Computer Engineering at the Aristotle University of Thessaloniki, Greece (1998). RESEARCH INTERESTS Binocular, multiple-view and video-based 3D reconstruction Robotic perception 3D shape representation and object recognition Perceptual organization Machine learning Active vision STUDENTS Benjamin Abruzzo (Ph.D. Mech. Eng. co-advised with Dave Cappelleri), 2012- Konstantinos Batsos (Ph.D.), 2016- Bo Sun (Ph.D), 2016- Changjiang Cai (Ph.D), 2017- Saeid Hosseinipoor (Ph.D), 2017- Eric Joyce (Ph.D), 2018- ALUMNI Yizhe Chang (postdoctoral researcher), 2016-2018 Mohammed Kutbi (Ph.D.), "An Egocentric Computer Vision-based Robotic Wheelchair", 2018 Aristotle Spyropoulos (Ph.D.), "Supervised Learning for Stereoscopic Reconstruction", 2017 Iraklis Tsekourakis (Ph.D.), "Dynamic 3D Reconstruction", 2016 Xiaoyan Hu (Ph.D.), "Uncertainty based 3D Reconstruction", 2013 Liefei (Lucy) Xu (Ph.D. co-advised with H. Quynh Dinh), "Vector Field Analysis for Flow Pattern Detection and Video Analysis", 2011 Nikolaos Agadakos (M.S.), 2018 Andrew Wiggins (M.S.), 2017 Chloe LeGendre (M.S.), 2014-2015 Max Ehrlich (M.S.), 2015 Krzysztof Jordan (B.S.), 2013-2015 Lance Burgo (M.S.), 2013 Yizhou Lin (M.S. co-advised with Gang Hua), 2012-2013 Qiuxia Han (M.S.), 2009-2011 Konstantinos Batsos (M.S.), 2011 Morgan Baron (M.S. co-advised with G. Kamberov), 2011 Wei Jiang (M.S.), 2009-2010 Andrew Neurohr (B.S. with thesis), 2018 PAST VISITORS Hao Guo (Ph.D., visiting from the Department of Computer Science, College of Information and Electrical Engineering, China Agricultural University), 2013-2014 Rafael Gouveia (B.S., exchange student from Centro de Informatica, Universidade Federal de Pernambuco, Brazil), 2014 TEACHING CS 677: Parallel Programming for Many-core Processors (Spring 2017) Class webpage . CS 559: Machine Learning: Fundamentals and Applications (Fall 2016) Class webpage . CS 558: Computer Vision (Spring 2016) Class webpage . CS 532: 3D Computer Vision (Fall 2015) Class webpage . CS 559: Machine Learning: Fundamentals and Applications (Fall 2015) Class webpage . CS 677: Parallel Programming for Many-core Processors (Spring 2015) Class webpage . CS 284: Data Structures (Fall 2014) Class notes etc. are available on Moodle. WORDS OF WISDOM By Jacob August Riis: "I go and look at a stonecutter hammering away at his rock perhaps a hundred times without as much as a crack showing in it. Yet at the hundred and first blow it will split in two, and I know it was not that blow that did it, but all that had gone before." diff --git a/src/data/compiled_bios/4365.txt b/src/data/compiled_bios/4365.txt new file mode 100644 index 0000000000..5a9303d1cf --- /dev/null +++ b/src/data/compiled_bios/4365.txt @@ -0,0 +1 @@ + David A. Naumann Professor of Computer Science at Stevens Institute of Technology . Here's contact info and Curriculum Vitae . Publications etc. Teaching Fall 2018 - CS 115 Introduction to Computer Science, and CS 643 Formal Verification of Software Fall 2017 -- on sabbatical as Visiting Fellow at Princeton University, in the DeepSpec project Spring 2017 -- CS 182 Introduction to Computer Science Honors II Fall 2016 -- CS 810B Formal Modeling and Analysis for Software Security, and CS 485 Societal Impact of Information Technologies Spring 2016 -- CS 182 Introduction to Computer Science Honors II Fall 2015 -- CS 115 Introduction to Computer Science and CS 135 Discrete Structures Spring 2015 -- CS 496/510 Principles of Programming Languages Assistantships For undergrad and MS students: Scholarships for Service . Undergraduate summer research: Contact me early in Spring semester for projects, supported by NSF and the Stevens Scholars program. And look for other opportunities and ideas . PhD positions: From time to time I take on new PhD students for research on secure information flow in software: policies, static analysis, and runtime monitoring for Android and other platforms. Full funding is provided. The ideal candidates have background in programming language theory and implementation or formal methods. Research My focus is on formal methods and software security, including: ad hoc network application security; JavaScript and web security; fine-grained confidentiality/integrity policies; program analysis, verification, and transformation; correctness by construction; and methodology for formal specification of system components. For details see publications and tools . Affiliated with: CASSIA, the Center for the Advancement of Secure Systems and Information Assurance ; also the DeepSpec project. Recent postdoctoral research associate: Mounir Assaf, working on Hyperproperty Abstraction for Information Flow Control funded by NSF EAGER award CCF-1649884. Current and past PhD students: Mohammad Nikouei; Andrey Chudnov (finished Spring 2016); Chunyu Tang (finished Fall 2013); Stan Rosenberg (finished Summer 2011); Qi Sun (finished Fall 2007). I'm working on Relational Verification for Information Assurance and Privacy (NSF award SaTC CNS-1718713). I worked with Anindya Banerjee ( IMDEA Software ), Gary Leavens (U. Central FL.), and others on Flexible and Practical Information Flow Assurance for Mobile Apps (NSF award 1228930) --see the FlowSpecs project . With support from DHS I worked on Tunable Information Flow with researchers at HRL Laboratories . I work with Gary Leavens and others on the Java Modeling Language (JML) , and with Leila Silva (UFS Brazil), Giovanny Lucero (UFS Brazil), and Augusto Sampaio (UFPE Brazil) on refactoring (NSF awards CNS-0708330 and CCF-0915611). With support from Microsoft Research I worked with Andy Gordon and FranoisDupressoir on verifying cryptographic code in C, and collaborated on the Spec#/Boogie software specification/verification project. With support from NSF I worked with Anindya Banerjee on Access Control and Downgrading in Information Flow Assurance , collaborating with Tamara Rezk and Gilles Barthe (INRIA), Marco Pistoia (IBM), Qi Sun and Stan Rosenberg. See our Secure Information Flow Inferencer and Verifier for Region Logic . With support from Telcordia and the U.S. Government I worked with Susanne Wetzel and Chunyu Tang on high assurance for security in wireless networking. Selected recent program committees and editorial boards 28th European Symposium on Programming (ESOP) 2019 32d IEEE Symposium on Computer Security Foundations (CSF) 2019 46th ACM SIGPLAN Symposium on Principles of Programming Languages (POPL) 2019 Syntax and Semantics of Low-Level Languages (LOLA) 2018 2nd Workshop on Principles of Secure Compilation (PriSC) 2018 International Conference on Runtime Verification, 2014, 2016 28th IEEE Computer Security Foundations Symposium (CSF) 2015 20th International Symposium on Formal Methods (FM) 2015 4th Conference on Principles of Security and Trust (POST) 2015 5th International Symposium on Unifying Theories of Programming (UTP) 2014 (PC chair) Programming Languages and Analysis for Security (PLAS) 2014, 2009 (co-chair), 2008 Workshop on Foundations of Computer Security (FCS) at LICS/CSF 2013 Verified Software: Theories, Tools, Experiments 2008, 2010, & 2013 1st ACM Workshop on Higher-Order Programming with Effects (HOPE) at ICFP 2012 ACM Principles of Programming Languages (POPL) 2011 ACM Conference on Computer and Communication Security (CCS) 2010 ECOOP Workshop on Formal Techniques for Java-like Programs (FTfJP) 2013 New Jersey Programming Languages Seminar ( NJPLS ) co-organizer, April 2010. International Conference on Formal Engineering Methods (ICFEM) 2009. Brazilian Symposium on Formal Methods (SBMF) 2007-2015 (also Steering Committee, and co-chair of PC 2012) Mathemetics of Program Construction 2004, 2010, 2012 I co-chaired (with Rohit Gheyi) the 15th Brazilian Symposium on Formal Methods . I co-chaired (with Stephen Chong) the 4th ACM SIGPLAN Workshop on Programming Languages and Analysis for Security associated with PLDI 2009 in Dublin. I co-chaired (with Peter O'Hearn) the 2008 Theory Workshop of the Second IFIP Working Conference on Verified Software: Theories, Tools, Experiments and I co-chaired the Theory Workshop for 2010. I chaired the Theory Panel of the Verified Software Initiative and am a Corresponding Member of the Verified Software Repository Network . Editorial Boards: Formal Aspects of Computing and The Journal of Object Technology . A series of noun phrases (lacunae not shown) The timeliness of my stylish home page, Freedom to Tinker , Empowering Underrepresented Groups in Technology , speed limits for chumps , my guitar teacher , Lore-El Center for Women's Leadership , verifying what counts , air quality , life above 20 kHz , my Capoeira Angola master, quanta , the African diaspora , my Smyrneika and voice teachers shaking away like a rattlesnake , pop record ageing fan , Pandora's locked box , the desk upon which it stands , the cry of the imaginary cuica. Revision: 1.40 , Date: 2018/12/17 20:42:41 About this document ... diff --git a/src/data/compiled_bios/4366.txt b/src/data/compiled_bios/4366.txt new file mode 100644 index 0000000000..12f5499ef2 --- /dev/null +++ b/src/data/compiled_bios/4366.txt @@ -0,0 +1 @@ + Antonio R. Nicolosi Associate Professor [ Brief Bio ] Computer Science Department Stevens Institute of Technology Office: North 317 Tel: (201) 216-8035 Fax: (201) 216-8249 [ Home | Publications | People | Teaching | Projects | Activities ] Research I do research in cryptography and network security. Areas of interests include: Authentication in Distributed Systems; Network and Computer Systems Security; Non-commutative Cryptography; Lattices, Codes, and Cryptography. My publications are available here , and are indexed on DBLP and on Google Scholar . My research is funded in part by a 2014 NSF CAREER award ( CNS #1350858 ) and by NSF awards CNS #1040784 and CNS #1117679 . I also sponsored a postdoctoral associate ( Carl Bosley ) via a CRA / CCC Computing Innovation fellowship ( CIFellow program ). I am affiliated with Stevens' Center for the Advancement of Secure Systems and Information Assurance (CASSIA) , Algebraic Cryptography Center , and Laboratory for Secure Systems . Research Projects [ more... ] Lattices, Codes, and Algebraic Cryptography Teaching [ more... ] Fall 2018 CS115DIntroduction to Computer Science Fall 2018 CS578A/SOC551APrivacy in a Networked World Professional Activities I am the director of Stevens' Master's programs in Cyber Security and in Enterprise Security and Risk Management . I have been involved in organizing the following scientific events: The 14th IACR International Conference on Public Key Cryptography (PKC'11) March 69, 2011, Taormina, Italy General co-Chair The Spring 2010 Security and Privacy Day @ Stevens May 28, 2010, Hoboken, NJ Chair of local organizing committee I am serving/have served on the program committee for the following scientific conferences and workshops: The 17th IACR International Conference on Public Key Cryptography (PKC'14), March 2014, Buenos Aires, Argentina The Cryptographers' Track at the RSA Conference (CT-RSA'11), February 2011, San Francisco, CA The 6th Conference on Security and Cryptography for Networks (SCN '10), September 1315, 2010, Amalfi, Italy The 12th International Security Conference (ISC '09), September 79, 2009, Pisa, Italy The 2nd Provable Security Conference (ProvSec '08), October 30November 1, 2008, Shanghai, China The 6th International Conference on Cryptography and Network Security (CANS '07), December 810, 2007, Singapore Antonio Nicolosi diff --git a/src/data/compiled_bios/4367.txt b/src/data/compiled_bios/4367.txt new file mode 100644 index 0000000000..96d44bb3a5 --- /dev/null +++ b/src/data/compiled_bios/4367.txt @@ -0,0 +1 @@ + Yue Ning Students Teaching Research Publication About Me I am an Assistant Professor in the Department of Computer Science at Stevens Institute of Technology . My research interests are applied machine learning , data analytics , and social media analysis motivated by real-world problems in social informatics, health informatics and information security. I received my Ph.D. from the Department of Computer Science of Virginia Tech under Dr. Naren Ramakrishnan . I was a student member at the Discovery Analytics Center . Openings : Click here if you are interested in working with me. Research Interests Applied Machine Learning Text Mining and Knowledge Discovery Social Media Analysis and Personalization News 01.2019 Invited to serve in the PC of KDD 2019 . 12.2018 Invited to serve in the PC of ASONAM 2019 . 08.2018 Invited to serve in the PC of SDM 2019 . 06.2018 One paper accepted by ASONAM-18 . 06.2018 Successfully defended my Ph.D. dissertation! 03.2018 Received a SIAM Student Travel Award to attend SDM 2018 . 02.2018 Invited to serve in the PC of ASONAM 2018 . 01.2018 One paper accepted by ACM TKDD . 12.2017 One paper accepted by SDM-18 . 06.2017 One paper accepted by ACM RecSys-17 . 04.2017 Passed PhD Prelim exam. 10.2016 One paper accepted by IAAI-17 . 07.2016 One paper accepted by CIKM-16 . 06.2016 Received KDD 2016 student travel award. 06.2016 Check out our video on YouTube for modeling precursors. 05.2016 Research Scientist Intern at Yahoo Research . 05.2016 Our paper on modeling precursors for event forecasting accepted by KDD-16 . 11.2015 One paper accepted by AAAI-16 . 06.2015 One paper accepted by ASONAM-15 . 04.2015 Received a travel grant to attend CRA Women in Computing Workshop. Contact Mailing Address 1 Castle Point Terrace, Hoboken, NJ 07030, United States Office North Building 217 Email Address yue.ning AT stevens.edu Copyright Yue Ning diff --git a/src/data/compiled_bios/4368.txt b/src/data/compiled_bios/4368.txt new file mode 100644 index 0000000000..67185b7aab --- /dev/null +++ b/src/data/compiled_bios/4368.txt @@ -0,0 +1 @@ + Georgios Portokalidis Home Publications Projects Openings Software Teaching Home About Me I am an Assistant Professor in the Department of Computer Science at Stevens Institute of Technology. I obtained my PhD in Compute Science from Vrije Universiteit Amsterdam on February 2010. I also hold an MSc and BSc in Computer Science from Leiden University and University of Crete, respectively. My research interests are mainly around the area of systems and security. In the past, I have worked on software security, honeypots, taint analysis (information-flow tracking), analysis of binary software, run-time and compile-time software instrumentation, control-flow integrity, code-reuse attacks, Tor, and user authentication. For more information check out my CV and my Google Scholar Profile . I am looking for inquisitive, fun-loving hackers to work with me as PhD students ( apply now ) and postdocs (e-mail me)! Contact Information Email: georgios DOT portokalidis AT stevens DOT edu Twitter: @portokalidis Phone: 201.216.8311 Fax: 201.216.8249 Address: North Building 307A Department of Computer Science Stevens Institute of Technology Castle Point on Hudson Hoboken, NJ 07030 Announcements Jan '19 I'm delighted to announce that my student, Ioannis Agadakos, has successfully completed his PhD! Jan '19 The web page for CS-676 Advanced Topics in Systems Security is now up! I have been appointed Charles Berendsen Junior Professor of Computer Science. The web page for CS-576 - Systems Security is now up! I am humbled and honored to have been selected to receive the 2018 Provost's Award for Research Excellence. A team of Stevens CS and Cybersecurity students I supervise qualified to the 2018 regional Northeastern Collegiate Cyber Defense Competition (CCDC) . Our paper "Position-independent Code Reuse: On the Effectiveness of ASLR in the Absence of Information Disclosure" was accepted for publication at the 2018 IEEE European Symposium on Security and Privacy. Research Highlights Selected Publications Techu: Open and Privacy-preserving Crowdsourced GPS for the Masses Ioannis Agadakos, Jason Polakis, and Georgios Portokalidis Proceedings of the ACM International Conference on Mobile Systems, Applications, and Services (MobiSys), Niagara Falls, NY, USA, June 2017 (18%) Location-enhanced Authentication using the IoT Ioannis Agadakos, Per Hallgren, Dimitrios Damopoulos, Andrei Sabelfeld, and Georgios Portokalidis Proceedings of the Annual Computer Security Applications Conference (ACSAC), Los Angeles, CA, USA, December 2016 (22.8%) WYSISNWIV: What You Scan Is Not What I Visit Qilang Yang, Dimitrios Damopoulos, and Georgios Portokalidis Proceedings of the International Symposium on Recent Advances in Intrusion Detection (RAID), Kyoto, Japan, November 2015 (22.69%) The Devil is in the Constants: Bypassing Defenses in Browser JIT Engines Michalis Athanasakis, Elias Athanasopoulos, Michalis Polychronakis, Georgios Portokalidis, and Sotiris Ioannidis Proceedings of the Network and Distributed System Security (NDSS) Symposium, San Diego, CA, USA, February 2015 (19.6%) Out Of Control: Overcoming Control-Flow Integrity Enes Gkta, Elias Athanasopoulos, Herbert Bos, and Georgios Portokalidis Proceedings of the IEEE Symposium on Security and Privacy, San Jose, CA, USA, May 2014 (13.6%) ShadowReplica: Efficient Parallelization of Dynamic Data Flow Tracking Kangkook Jee, Vasileios P. Kemerlis, Angelos D. Keromytis, and Georgios Portokalidis Proceedings of the ACM Conference on Computer and Communications Security (CCS), Berlin, Germany, November 2013 (19.8%) Selected Grands and Awards PI (lead), "ABIDES: Adaptive BInary Debloating and Security", ONR, $3,243,244 (Stevens ~$1M), September 2017 - August 2020 PI, "Trails: Efficient Data-Flow Tracking Through HW-assisted Parallelization", DARPA, $462,419 , September 2016 - August 2018 PI, "Adapting Static and Dynamic Program Analysis to Effectively Harden Debloated Software" ONR, $467,543 , March 2016 - February 2019 Best student paper award at the 2015 Annual Computer Security Applications Conference (ACSAC) PhD Students Current Vidya Lakshmi Rajagopalan (January 2019 - present) Konstantinos Kleftogiorgos (September 2018 - present) Anirudh Srivastava (September 2018 - present) Abdullah Samarkandi (January 2018 - present) Ioannis Agadakos (January 2015 - December 2018) Postdocs Past Dimitrios Damopoulos (2013 - 2015) Miscellaneous Useful links for PhD students Georgios Portokalidis 2019 diff --git a/src/data/compiled_bios/4369.txt b/src/data/compiled_bios/4369.txt new file mode 100644 index 0000000000..dcc84fe339 --- /dev/null +++ b/src/data/compiled_bios/4369.txt @@ -0,0 +1 @@ +Search this site Jie Shen's Homepage Jie Shen Assistant Professor Department of Computer Science Stevens Institute of Technology New Jersey, USA Contact: 218 North Building, Hoboken, NJ 07030, USA Email: jieshen.sjtu [AT] gmail [DOT] com I am looking for self-motivated Ph.D. students with strong math background. Biography I am a Tenure-Track Assistant Professor at Stevens Institute of Technology. I received my Ph.D. in Computer Science at Rutgers University in 2018. Before that, I received the B.S. in Mathematics in 2011 and the M.S. in Computer Science in 2014, both from Shanghai Jiao Tong University. During 2013 and 2014, I was a visiting scholar at the Learning and Vision Research Group, National University of Singapore. Research My research interests lie in both the theoretical aspects and applications of machine learning. I am particularly interested in high-dimensional statistics, large-scale optimization, and their interplay. The problems that I have been working on include: low-rank matrix recovery, variable selection, online and stochastic optimization, and active learning. My google scholar can be found here . My wife Jing Wang also works on machine learning, and she is on the job market. Preprints 1. Jie Shen , Ping Li, Huan Xu. Efficient Online Minimization for Low-Rank Subspace Clustering [ arXiv ] Publications (Refereed Conferences and Journals) 13. Jie Shen , Pranjal Awasthi, Ping Li. Robust Matrix Completion from Quantized Measurements Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics ( AISTATS 2019 ), to appear 12. Jing Wang, Jie Shen , Ping Li. Provable Variable Selection for Streaming Features [ link ] Proceedings of the 35th International Conference on Machine Learning ( ICML 2018 ) 11. Jie Shen , Ping Li. A Tight Bound of Hard Thresholding [ link ] [ arXiv ] Journal of Machine Learning Research 18(208): 1-42 ( JMLR 2018 ) 10. Jie Shen , Ping Li. Partial Hard Thresholding: Towards A Principled Analysis of Support Recovery [ link ] Proceedings of the 31st Annual Conference on Neural Information Processing Systems ( NeurIPS 2017 ) 9. Jie Shen , Ping Li. On the Iteration Complexity of Support Recovery via Hard Thresholding Pursuit [ link ] Proceedings of the 34th International Conference on Machine Learning ( ICML 2017 ) 8. Jing Wang, Jie Shen , Ping Li. Object Proposal with Kernelized Partial Ranking [ link ] [ arXiv ] Pattern Recognition 69: 299-309 ( PR 2017 ) 7. Jie Shen , Huan Xu, Ping Li. Online Optimization for Max-Norm Regularization [ link ] [ arXiv ] [ code ] Machine Learning 106(3): 419-457 ( ML 2017 ) 6. Jing Wang, Jie Shen , Ping Li, Huan Xu. Online Matrix Completion for Signed Link Prediction [ link ] [ slides ] Proceedings of the 10th ACM International Conference on Web Search and Data Mining ( WSDM 2017 ) 5. Jie Shen , Ping Li. Learning Structured Low-Rank Representation via Matrix Factorization [ link ] Proceedings of the 19th International Conference on Artificial Intelligence and Statistics ( AISTATS 2016 ) 4. Jie Shen , Ping Li, Huan Xu. Online Low-Rank Subspace Clustering by Basis Dictionary Pursuit [ link ] [ arXiv ] [ code ] Proceedings of the 33rd International Conference on Machine Learning ( ICML 2016 ) 3. Jie Shen , Huan Xu, Ping Li. Online Optimization for Max-Norm Regularization [ link ] [ arXiv ] [ code ] Proceedings of the 28th Annual Conference on Neural Information Processing Systems ( NeurIPS 2014 ) 2. Weipeng Zhang, Jie Shen , Guangcan Liu, Yong Yu. A Latent Clothing Attribute Approach for Human Pose Estimation [ link ] Proceedings of the 12th Asian Conference on Computer Vision ( ACCV 2014 ) 1. Jie Shen , Guangcan Liu, Jia Chen, Yuqiang Fang, Jianbin Xie, Yong Yu, Shuicheng Yan. Unified Structured Learning for Simultaneous Human Pose Estimation and Garment Attribute Classification [ link ] [ arXiv ] IEEE Transactions on Image Processing 23(11): 4786-4798, 2014 ( TIP 2014 ) Teaching Statistical Machine Learning (Spring 2019) Artificial Intelligence (Fall 2018) Students Shiwei Zeng (Ph.D.) Shrawan Sapre (M.S.) Yao Xiao (M.S.) Ph.D. Thesis Learning From Structured Data: Theory, Algorithms, and Applications [ link ] Made with the new GoogleSites , an effortless way to create beautifulsites. Create a site Report abuse diff --git a/src/data/compiled_bios/437.txt b/src/data/compiled_bios/437.txt new file mode 100644 index 0000000000..dccf83aa9f --- /dev/null +++ b/src/data/compiled_bios/437.txt @@ -0,0 +1 @@ +Mo Li ( ) Associate Professor School of Computer Science and Engineering, Nanyang Technological University (NTU) Office: N4-02 B - 61 , 50 Nanyang Avenue, Singapore, 639798 Phone: +65 6790 4604 Fax: +65 6792 6559 Email: limo @ ntu . edu . sg Hiring : Postdoc researcher - big data driven intelligent transportation and urban computing Hiring : Postdoc researcher - wireless sensing, tracking, and localization Biography Mo Li is currently an associate professor in School of Computer Science and Engineering , Nanyang Technological University . Previously, he was a Nanyang Assistant Professor during 2011-2016. He received his BS degree in Department of Computer Science and Technology from Tsinghua University, and the PhD degree in Department of Computer Science and Engineering from Hong Kong University of Science and Technology, He is heading Wireless And Networked Distributed Sensing (WANDS) system group in Parallel and Distributed Computing Centre (PDCC). Dr. Li is currently on the editorial board of ACM Transactions on Internet of Things, IEEE Transactions on Wireless Communications , IEEE Transactions on Mobile Computing , and IEEE/ACM Transactions on Networking . Research Interests Networked and distributed sensing , wireless and mobile, Internet of Things (IoT), smart city and urban computing The long term goal of my research is to deepen and broaden the way that we can instrument the physical world, based on which we can perform insightful data analytics, provide human centered services, and build cyber-physical systems to facilitate peoples smarter lifestyle. Atheros CSI Tool (our open source CSI tool maintenance page) - Precise Power Delay Profiling with Commodity WiFi , ACM MobiCom'15; Antenna array extension - SWAN: Stitched Wi-Fi ANtennas , ACM MobiCom'18, [ Demo video ] How Long to Wait?: Predicting Bus Arrival Time with Mobile Phone based Participatory Sensing , ACM MobiSys'12, [ Demo video ] Our recent outlook paper: Urban Traffic Prediction from Mobility Data Using Deep Learning , IEEE Network , Vol. 32, Issue 4, Pages 40-46, 2018 Our recent measurement study on LoRa : Known and Unkown Facts of LoRa: Experiences from a Large Scale Measurement Study , ACM Transactions on Sensor Networks , preprint Teaching CZ3006 Net-Centric Computing Selected Publications ( Full list ) Wireless : [ MobiCom'18 ] " SWAN: Stitched Wi-Fi ANtennas " , In ACM MobiCom, Paris, France, September 2015 Yaxiong Xie, Yanbo Zhang , Jansen Christian Liando, Mo Li [ Atheros CSI Tool ] [ Demo video ] [ MobiCom'15 ] " Precise Power Delay Profiling with Commodity WiFi " , In ACM MobiCom, Paris, France, September 2015 Yaxiong Xie, Zhenjiang Li, Mo Li [ Slides ] [ Project video ] [ Atheros CSI Tool ] [ MobiCom'15 ] " Recitation: Rehearsing Wireless Packet Reception in Software " , In ACM MobiCom, Paris, France, September 2015 Zhenjiang Li, Yaxiong Xie, Mo Li , Kyle Jamieson [ Slides ] [ Project video ] [ Atheros CSI Tool ] [ MobiCom'15 ] " Come and Be Served: Parallel Decoding for COTS RFID Tags " , In ACM MobiCom, Paris, France, September 2015 Jiajue Ou, Mo Li , Yuanqing Zheng [ Slides ] [ Project video ] [ Open RFID Lab ] [ MobiCom'14 ] " Tagoram: Real-Time Tracking of Mobile RFID Tags to High Precision Using COTS Devices " , In ACM MobiCom, Maui, Hawaii, USA, September 2014 Lei Yang, Yekui Chen, Xiang-Yang Li, Chaowei Xiao, Mo Li , and Yunhao Liu This paper received MobiCom'14 Best Paper Award [ INFOCOM'14 ] " Read Bulk Data from Computational RFIDs ", In IEEE INFOCOM , Toronto, Canada, April 2014 Yuanqing Zheng, Mo Li [ Open RFID Lab ] [ INFOCOM'13 ] " P-MTI: Physical-layer Missing Tag Identification via Compressive Sensing ", In IEEE INFOCOM , Pages 917-925, Turin, Italy, April 2013 Yuanqing Zheng, Mo Li [ Open RFID Lab ] Extended version in IEEE/ACM Transactions on Networking , Vol. 23 , Issue 4, Pages 1356-1366, August 2015 [ INFOCOM'13 ] " ZOE: Fast Cardinality Estimation for Large-Scale RFID Systems ", In IEEE INFOCOM , Pages 908-916, Turin, Italy, April 2013 Yuanqing Zheng, Mo Li [ Open RFID Lab ] Extended version in IEEE/ACM Transactions on Networking , Vol. 2 2 , Issue 6 , Pages 1886 - 1896 , December 201 4 Sensing & data analytics : [ Network ] " Urban Traffic Prediction from Mobility Data Using Deep Learning ", IEEE Network , Vol. 32, Issue 4, Pages 40-46, 2018 Zhidan Liu, Zhenjiang Li, Kaishun Wu, Mo Li [ IPSN'18 ] " Walkway Discovery from Large Scale Crowdsensing ", In ACM/IEEE IPSN , Pages 13-24, Porto, Portugal , April 2018 Chu Cao, Zhidan Liu, Mo Li , Wenqiang Wang, Zheng Qin [ Slides ] [ TITS ] " A Participatory Urban Traffic Monitoring System: The Power of Bus Riders ", IEEE Transactions on Intelligent Transportation Systems , Vol.18, Issue 10, Pages 2851-2864, October 2017. Zhidan Liu, Shiqi Jiang , Pengfei Zhou, Mo Li [ TITS ] " Mining Road Network Correlation for Traffic Estimation via Compressive Sensing ", IEEE Transactions on Intelligent Transportation Systems , Vol. 17, Issue 7, Pages 1880-1893, July 2016. Zhidan Liu, Zhenjiang Li, Mo Li , Wei Xing, and Dongming Lu [ SenSys'15 ] " When Pipelines Meet Fountain: Fast Data Dissemination in Wireless Sensor Networks ", in ACM SenSys , Seoul, South Korea, November 2015 Wan Du, Jansen Christian Liando, Huanle Zhang, and Mo Li This paper received SenSys'15 Best Paper Award [ Slides ] [ SenSys'14 ] " From Rateless to Distanceless: Enabling Sparse Sensor Network Deployment in Large Areas ", I n ACM SenSys, Memphis, USA, November 2014 Wan Du, Zhenjiang Li, Jansen Christian Liando, and Mo Li , [ Project video ] [ IPSN'14 ] " Optimal Sensor Placement and Measurement of Wind for Water Quality Studies in Urban Reservoirs ", In ACM/IEEE IPSN , Pages 167-178, Berlin, Germany, April 2014 Wan Du, Zikun Xing, Mo Li , Bingsheng He, Lloyd Hock Chye Chua and Haiyan Miao, [ Project video ] Extended version in ACM Transactions on Sensor Networks , Vol. 11 , Issue 3 , Article 41, March 2015 [ MobiCom'12 ] " FLIGHT: Clock Calibration Using Fluorescent Lighting ", In ACM MobiCom , Pages 329-340, Istanbul, Turkey, August 2012 Zhenjiang Li, Wenwei Chen, Cheng Li, Mo Li , Xiang-yang Li, and Yunhao Liu The demo of this paper won Best Demo Award Extended version in IEEE Transactions on Mobile Computing , Vol. 13, Issue 7, Pages 1495-1508, July 201 4 [ MobiCom'07 ] " Rendered Path: Range-Free Localization in Anisotropic Sensor Networks with Holes ", In ACM MobiCom , Pages 51-62 , Montreal , Quebec, Canada, September 2007 Mo Li and Yunhao Liu Extended version in IEEE/ACM Transactions on Networking , Vol. 18, Issue 1, Pages 320-332, February 2010 [ IPSN'07 ] " Underground Structure Monitoring with Wireless Sensor Networks ", In IEEE/ACM IPSN , Pages 69-78 , Cambridge, Massachusetts, USA, April 2007 Mo Li and Yunhao Liu Extended version in ACM Transactions on Sensor Networks , Vol. 5, Issue 2, Article 10, March 2009 Mobility : [ INFOCOM' 17 ] " iType: Using Eye Gaze to Enhance Typing Privacy ", In IEEE INFOCOM, Atlanta , USA, May 201 7 Zhenjiang Li , Mo Li , Prasant Mohapatra, Jinsong Han, Shuaiyu Chen [ MobiCom'16 ] " DopEnc: Acoustic-based Encounter Profiling using Smartphones ", In ACM MobiCom, New York , USA, October 201 6 Huanle Zhan g, Wan Du, Pengfei Zhou, Mo Li , Prasant Mopahatra [ MobiCom'14 ] " Use It Free: Instantly Knowing Your Phone Attitude ", In ACM MobiCom, Maui, Hawaii, USA, September 2014 Pengfei Zhou , Mo Li , Guobin Shen [ Slides ] [ Demo video: For mobile gaming , Comparison with Android API ] [ MobiCom'14 ] " Travi-Navi: Self-deployable Indoor Navigation System ", In ACM MobiCom, Maui, Hawaii, USA, September 2014 Yuanqing Zheng, Guobin Shen, Liqun Li, Chunshui Zhao, Mo Li , and Feng Zhao [ SenSys'12 ] " IODetector: A Generic Service for Indoor Outdoor Detection " , In ACM SenSys , Pages 113-126, Toronto, Canada, November 2012 Pengfei Zhou, Yuanqing Zheng, Zhenjiang Li, Mo Li , and Guobin (Jacky) Shen [ Slides ] [ Demo app ] Extended version in ACM Transactions on Sensor Networks , Vol. 11 , Issue 2 , Article 28, December 2014 [ MobiSys'12 ] " How Long to Wait?: Predicting Bus Arrival Time with Mobile Phone based Participatory Sensing ", I n ACM MobiSys, Pages 379-392, Low Wood Bay, United Kingdom , June 2012 Pengfei Zhou , Yuanqing Zheng , Mo Li [ Slides ] [ Demo video ] Extended version in IEEE Transactions on Mobile Computing , Vol. 13, Issue 6, Pages 1228-1241, June 201 4 Professional Services Journal Editor IEEE Transactions on Wireless Communications (2015-) IEEE Transactions on Mobile Computing (2015-) IEEE/ACM Transactions on Networking (2016-) ACM Transactions on Internet of Things (2018-) Recent TPC activities 2019 - INFOCOM, MobiCom, IoTDI, ICDCS, SIGMETRICS, SenSys 2018 - INFOCOM, MobiCom, SenSys 2017 - INFOCOM, MobiCom, HotMobile, MobiSys (external), ICDCS 2016 - INFOCOM, MobiCom, ICDCS, ICNP 2015 - INFOCOM, MobiCom, MobiSys (external), HotMobile ( more ) Conference chairs General co-Chair, IEEE ICPADS'18 TPC co-Chair, IEEE SECON'18 General co-Chair, IEEE SmartCity'16 TPC Vice Chair, IEEE ICPADS'14 Vice Chair , ACM APSYS'13 TPC co-chair, ICST MobiQuitous '12 ( more ) Honors and Awards Nanyang Research Award , 2017 IoT OpenInnov Challenge Winner , by ENGIE and SIGFOX, 2016 IEEE ComSoc Asia-Pacific Best Young Researcher Award , IEEE Communications Society, 2015 Best Paper Award : ACM SenSys , 2015 Distinguished member of the TPC , IEEE INFOCOM , 2015 Best Paper Award : ACM MobiCom , 2014 Best Demo Award ( demo video ): IEEE SECON , 2014 Reviewer Meritorious Award Certificate , IEEE Computer Society, 2013 Best Demo Award : ACM MobiCom , 2012 Second Class State Natural Science Award conferred by th e State Council of the People's Republic of China ( certificate ), 2011 with Prof. Yunhao Liu, Prof. Lionel Ni, and Dr. Zheng Yang Nanyang Assistant Professorship (NAP) conferred by Nanyang Technological University, 2011 Best Teacher Award by my PhD student Yuanqing Zheng , 2010 "Range-Free Localization for Wireless Ad Hoc Networks" , Chinese Ministry of Education First Class Natural Science Award , 2010 A CM Hong Kong Chapter Prof. Francis Chin Research Award ( Best Research Award ) , 2009 Best Paper Award : The 15th International Conference on Parallel and Distributed Systems ( IEEE ICPADS), 2009 2008 Fulbright Hong Kong Scholar Annual Award ( 1 , 2 ) , 2008 Best Contribution Paper : IEEE PerCom 2008 PhD Forum , 2008 Best Poster & Demo Award : The 2nd Microsoft Joint Laboratory Symposium , 2008 2007 Hong Kong ICT Award s : Best Innovation & Research Grand Award ( 1 , 2 ) , 2007 Group members Weiping Sun (Research fellow, 2018-) Jinlong E (Research fellow, 2018-) Agustinus Wellson Tengourtius (Research assistant, 2016-) Amalinda Gamage (Research assistant, 2017-) Yanbo Zhang (Research assistant, 2017-) Chu Cao (PhD student, 2014-) Panrong Tong (PhD student, 2015-) Jansen Christian Liando (M.Eng student, 2016-) Xiaoyun Mo (PhD student, 2017-) Sijie Ji (PhD student, 2019-) Mingqian Li (PhD student, 2019-) Alumni Yuanqing Zheng (Doctorate in 2014, now assistant professor at Hong Kong Polytechnic University) Pengfei Zhou (Doctorate in 2016, now CEO and Co-founder of FFS Tech ) Zhenjiang Li (Visiting PhD student 2010-2012, research fellow 2012-2015, now assistant professor at the City University of Hong Kong) Jiajue Ou (Doctorate in 2016, now research scientist at Institute of High Performance Computing, A*STAR) Huanle Zhang (Research assistant 2014-2016, now PhD student at UC Davis) Yuxiao Hou (Doctorate in 2017, now postdoc fellow at Hong Kong Polytechnic University) Zhidan Liu (Research fellow 2015-2017, now assistant professor at Shenzhen University, Shenzhen Talent Peacock Plan) Wan Du (Research fellow, 2012-2017, now assistant professor at University of California, Merced) Shiqi Jiang (Doctorate in 2018, now senior software engineer at Ant Financial, Alibaba Group) Shuyu Shi (Research fellow, 2016-2018, now associate research professor at Nanjing University) Yaxiong Xie ( Doctorate in 2017, now Postdoc researcher at Princeton University) Invited Talks "Ambient Intelligence: A Data and Sensing Point of View", invited talk, Alibaba Group, Hang Zhou, China, January 2018 "Smart Mobility: A Data and Sensing Point of View", invited talk, Tsinghua University, China, December 2017 "Smart Mobility: A Data and Sensing Point of View", invited talk, City University of Hong Kong, Hong Kong, June 2017 "Smart City: Research Experiences in Smart Traffic Monitoring", invited talk, Computer Science Department, Princeton University, USA, September 2016 "Smart City: Research Experiences in Smart Traffic Monitoring", invited talk, Yale Institute for Network Science, Yale University, USA, September 2016 "Data Driven Study on Smart Transportation", i nvited talk , Future Network Theory Lab , Huawei, Hong Kong, June 201 6 "Data Driven Study on Smart Transportation", i nvited talk, College of Computer Science and Software Engineering , Shenzhen University, Shenzhen, China, June 201 6 "Data Driven Study on Smart Transportation", i nvited talk, Department of Computer Science and Engineering , Hong Kong University of Science and Technology, Hong Kong, June 201 6 "Ambient Sensing and Intelligence", i nvited talk, School of Electronics Engineering and Computer Science , Peking University, China, November 2015 "Ambient Sensing and Intelligence", i nvited talk, Department of Electrical and Computer Engineering , Rice University , Houston, USA, December 2014 "Ambient Sensing and Intelligence", i nvited talk, Department of Information Technology and Electrical Engineering , ETH , Zurich, Switzerland, September 2014 "Ambient Sensing and Intelligence", i nvited talk, The 2014 IEEE Ninth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), Singapore, April 2014 "Ambient S ensing and I ntelligence", invited talk, Faculty of Mathematics and Computer Science, University of Goettingen, Goettingen, Germany, April 2014 "Smart Transportation with Participatory Sensing", guest lecture, ECE 695 Mobile Computing Systems, School of Electrical and Computer Engineering, Purdue University, USA, February 2014 " Computing in the Ambient", invited talk, School of Software , Tsinghua University, Beijing, China, November 201 3 "RF beyond ID", invited talk, National RFID Centre, SIMTech, A*STAR, Singapore, July 2013 " Computing in the Ambient", invited talk, School of Computer Science and Technology , Zhejiang University, Hangzhou, China, May 201 3 " Computing in the Ambient", invited talk, UMichigan-SJTU Joint Institute , Shanghai Jiaotong University, Shanghai, China, May 201 3 "Ambient Sensing Applications with Smart Phones", invited talk, Interactive Digital Media Institute (IDMI), National University of Singapore, Singapore, August 2012 "Everest", invited talk, IOT Center of Tsinghua National Laboratory of Information Science and Technology (TNLIST), Wuxi, China, December 2011 "Efficient RFID Estimation and Searching", invited talk, Department of Electrical and Computer Engineering, Stony Brook University, Stony Brook, USA, November 2011 "Integrated Environment Sensing", invited talk, ETH CREATE Future City Laboratory, Singapore, September 2011 "Human Centric Computing in Wireless Sensor Networks", invited talk, School of Computer Science and Engineering, UESTC, Chengdu, China, August 2011 "Ubiquitous Computing", invited talk, Department of Computer Science and Technology, Tsinghua University, Beijing, China, July 2011 "Human Centric Computing in Wireless Sensor Networks", invited talk, Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China, July 2011 "Human Centric Computing in Wireless Sensor Networks", invited talk, Shenzhen Institute of Advanced Integration Technology (SIAT), Chinese Academy of Science, Shenzhen, China, July 2011 "On the Applicability of Sensor Network Systems", invited talk, Department of Computer Science, City University of Hong Kong, Hong Kong, December 2009 "On the Applicability of Sensor Network Systems", invited talk, Microsoft Research Asia, Beijing, China, July, 2009 Grants [Completed] "Wireless Mobile Sensing and Actuation", NTU SUG, S$100,000, 2010-2013, PI [Completed] "Cloud-Assisted Real-Time and Large-Scale Monitoring and Analysis for Water Quality", NRF EWI, S$2 , 110 , 400 , 2011-2014, Co-PI [Completed] "Theoretical Study and Sustainable Design of Duty-Cycled Wireless Sensor Network", MOE AcRF Tier 2, S$570,000, 2012-2015, PI "Crowdsourcing based Transportation Monitoring", Microsoft Research Grant FY12-RES-THEME-001, S$29,000, PI "Developing Theories and Systems for Wireless and Sensor Networks", NAP (Nanyang Assistant Professor ) SUG , S$1,000,000, 2011-201 7 , PI "Fundamental Study on Improving RFID System Operational Efficiency" , MOE AcRF Tier 1, S$150,000, 2014-2017, PI "Cyber Security Solutions for Smart Traffic Control Systems" , NRF SG-UK Joint Grant, S$420,000, 2016-2018, Co-PI "Resilient Cyber Infrastructure for Cyber-Physical Systems", NRF NTU-Delta Corp. Lab, S$600,000, 2016-2019, Co-PI "Holistic Data Sensing and Orchestration in Crowdsourcing based Urban Informatics", MOE AcRF Tier 1, S$100,000, Mar 2017 Feb 2018 , PI "Data Driven Sensing and Analysis for Smart Transportation", MOE AcRF Tier 2 , S$ 737 , 3 00, June 2017 May 20 20, PI diff --git a/src/data/compiled_bios/4370.txt b/src/data/compiled_bios/4370.txt new file mode 100644 index 0000000000..660a14921c --- /dev/null +++ b/src/data/compiled_bios/4370.txt @@ -0,0 +1 @@ + Nikos Triandopoulos ASSOCIATE PROFESSOR Building: North Building Room: 321 Phone: +1 (201) 216-3751 Email: ntriando@stevens.edu Education Ph.D. in Computer Science, Brown University, 2007 Sc.M. in Computer Science, Brown University, 2002 Diploma in Computer Engineering & Informatics, University of Patras, 1999 Research Broadly spanning the areas of Security, Privacy & Cryptography Network & Distributed System Security Mobile & Enterprise security Applied Cryptography & Secure Protocol Design Experience 2010 - 2016, Principal Research Scientist, RSA Laboratories, RSA, The Security Division of EMC 2010 - 2016, Adjunct Assistant Professor, Dept. of Computer Science, Boston University 2008 - 2011, Adjunct Assistant Professor (Research), Dept. of Computer Science, Brown University 2008 - 2010, Research Assistant Professor, Dept. of Computer Science, Boston University 2007 - 2008, Research Assistant Professor, Dept. of Computer Science, Aarhus University 2006 - 2007, Postdoctoral Research Fellow, Dept. of Computer Science, Dartmouth College Professional Service Program Committee Member 2019: NDSS 2018: NDSS 2017: NDSS, IEEE EuroS&P, ACM CCSW 2016: ACM CCS, IEEE EuroS&P, ACM AISec 2015: ACM CCS 2014: ACM CCSW, BalkanCryptSec, IACR CANS, ICDCS 2013: ACM SIGMOD 2012: IEEE GLOBECOM (ManSec-CC) 2011: CT-RSA Organizing Committee Member 2013: EUROCRYPT (Sponsorship Chair) Panelist 2013: European Commission Workshop on Cloud Computing Security 2012: NSF Trustworthy Computing Program 2011: Advanced Cyber Security Center Second Annual Working Conference, New England Faculty Summit on Cyber Security Appointments 2016 - Present, Associate Professor, Dept. of Computer Science, Stevens Institute of Technology Professional Societies Member of ACM, IEEE, IACR Grants, Contracts & Funds 2017 - 2020, $.5M, U.S. National Science Foundation, Secure & Trustworthy Cyberspace, Award No. CNS-171882, An integrated approach for enterprise intrusion resilience. 2010 - 2016, $3M, U.S. National Science Foundation, CISETrustworthy Computing, Award No. CNS-1012798, Towards trustworthy interactions in the cloud. 2010 - 2016, $3M, U.S. National Science Foundation, CISETrustworthy Computing, Award No. CNS-1012910, Securing the open softphone. 2006 - 2007, $150K, U.S. Department of Homeland Security, Office of Science and Technology, Algorithms for high assurance in cyber-security. Patents & Inventions Co-Inventor of 58 issued U.S. patents - full list available through the U.S. Pattent Office here Selected Publications Conference Proceedings Foteini Baldimtsi, Dimitrios Papadopoulos, Stavros Papadopoulos, Alessandra Scafuro, and Nikos Triandopoulos. "Server-aided secure computation with off-line parties", In Proceedings of European Symposium on Research in Computer Security, Part I (ESORICS), LNCS, Vol. 10492, Springer, pp. 103-123, Oslo, Norway, September, 2017. Esha Ghosh, Olga Ohrimenko, Dimitrios Papadopoulos, Roberto Tamassia, Nikos Triandopoulos. (2016). "Zero-knowledge accumulators and set algebra", In Proceedings of IACR Int. Conference on the Theory and Applications of Cryptology and Information Security, Part II (ASIACRYPT), LNCS, Vol. 10032, Springer, pp. 67-100, Hanoi, Vietnam, December, 2016. Ari Juels, James Kelley, Roberto Tamassia, Nikos Triandopoulos. (2015). "Falcon codes: Fast, authenticated LT codes (Or: Making Rapid Tornadoes unstoppable)", In Proceedings of ACM Conference on Computer and Communications Security (CCS), pp. 1032-1047. Dimitrios Papadopoulos, Stavros Papadopoulos, Nikos Triandopoulos. (2014). "Taking authenticated range queries to arbitrary dimensions", In Proceedings of ACM Conference on Computer and Communications Security (CCS), pp. 819-830. Kevin D. Bowers, Catherine Hart, Ari Juels, Nikos Triandopoulos. (2014). "PillarBox: Combating next-generation malware with fast forward-secure logging", In Proceedings International Sympo- sium on Research in Attacks, Intrusions and Defenses (RAID), pp. 46-67. . Ahmed E. Kosba, Dimitrios Papadopoulos, Charalampos Papamanthou, Mahmoud F. Sayed, Elaine Shi, Nikos Triandopoulos. (2014). "TRUESET: faster verifiable set computations", In Proceedings of USENIX Security Symposium (USENIX Security), pp. 765-780. Ran Canetti, Omer Paneth, Dimitrios Papadopoulos, Nikos Triandopoulos. (2014). "Verifiable set operations over outsourced databases", In Proceedings of Int. Conference on Practice and Theory of Public-Key Cryptography (PKC), pp. 113-130. Aggelos Kiayias, Stavros Papadopoulos, Nikos Triandopoulos, Thomas Zacharias. (2013). "Delegateable pseudorandom functions and applications", In Proceedings of ACM Conference on Computer and Communications Security (CCS), pp. 669-684. Marten van Dijk, Ari Juels, Emil Stefanov, Alina Oprea, Ronald L. Rivest, Nikos Triandopoulos. (2012). "Hourglass schemes: How to prove that cloud files are encrypted", In Proceedings of ACM Conference on Computer and Communications Security (CCS), pp. 265-280. . Charalampos Papamanthou, Roberto Tamassia, Nikos Triandopoulos. (2011). "Optimal authentication of operations on dynamic sets", In Proceedings of Annual International Cryptology Conference (CRYPTO), LNCS, Vol. 6841, Springer, pp. 91-110. Peter Bro Miltersen, Jesper Buus Nielsen, Nikos Triandopoulos. (2009). "Privacy-enhancing auctions using rational cryptography", In Proceedings of Annual International Cryptology Conference (CRYPTO), LNCS, Vol. 5677, Springer, pp. 541-558. Charalampos Papamanthou, Roberto Tamassia, Nikos Triandopoulos. (2008). "Authenticated hash tables", In Proceedings of ACM Conference on Computer and Communications Security (CCS), pp. 437-448. Cory Cornelius, Apu Kapadia, David Kotz, Daniel Peebles, Minho Shin, Nikos Triandopoulos. (2008). "AnonySense: Privacy-aware people-centric sensing", In Proceedings of ACM/USENIX International Conference on Mobile Systems, Applications, and Services (MobiSys), pp. 211-224. Apu Kapadia, Nikos Triandopoulos. (2008). "Halo: High-assurance locate for distributed hash tables", In Proceedings of Annual Network & Distributed System Security Symposium (NDSS), pp. 61-79. Anna Lysyanskaya, Nikos Triandopoulos. (2006). "Rationality and adversarial behavior in multi-party computation", In Proceedings of Annual International Cryptology Conference (CRYPTO), LNCS, Vol. 4117, Springer, pp. 180-197. Journals Charalampos Papamanthou, Roberto Tamassia, Nikos Triandopoulos. (2016). "Authenticated hash tables based on cryptographic accumulators", Algorithmica, 74(2):664-712. Dimitrios Papadopoulos, Charalampos Papamanthou, Roberto Tamassia, Nikos Triandopoulos. (2015). "Practical authenticated pattern matching with optimal proof size", In Proceedings of the VLDB Endowment (PVLDB), 8(7): 750-761. Michael T. Goodrich, Duy Nguyen, Olga Ohrimenko, Charalampos Papamanthou, Roberto Tamassia, Nikos Triandopoulos, Cristina Videira Lopes. (2012). "Efficient verification of Web-content searching through authenticated Web crawlers", In Proceedings of the VLDB Endowment (PVLDB), 5(10):920-931. Michael T. Goodrich, Roberto Tamassia, Nikos Triandopoulos. (2011). "Efficient authenticated data structures for graph connectivity and geometric search problems", Algorithmica, 60(3):505-552. Minho Shin, Cory Cornelius, Apu Kapadia, David Kotz, Dan Peebles, Nikos Triandopoulos. (2011). "AnonySense: A system for anonymous opportunistic sensing", Journal of Pervasive and Mobile Computing (PMC), 7(1):16-30. Anna Lysyanskaya, Roberto Tamassia, Nikos Triandopoulos. (2010). "Authenticated error-correcting codes with applications to multicast authentication", ACM Transactions on Information and System Security (TISSEC), 13(2). Courses CS 579Foundations of Cryptography CS 306Introduction to IT Security diff --git a/src/data/compiled_bios/4371.txt b/src/data/compiled_bios/4371.txt new file mode 100644 index 0000000000..195a821c0f --- /dev/null +++ b/src/data/compiled_bios/4371.txt @@ -0,0 +1 @@ + ABOUT TEACHING PUBLICATIONS MS ADVISING MS FAQ CV IRAKLIS TSEKOURAKIS NORTH BUILDING 308, HOBOKEN, NJ 07030 (201) 216 - 5390 ITSEKOUR@STEVENS.EDU Assistant Teaching Professor Associate Chair for Graduate Studies (Computer Science) TEACHING /* Notes etc. on Canvas */ CS 570 { Data Structures; // Spring 2019 } /* Notes etc. on Canvas */ CS 590 { Algorithms; // Spring 2019 } /* Notes etc. on Canvas */ CS 146 { Intro to Web Programming and Project Development; // Fall 2018 } /* Notes etc. on Canvas */ CS 590 { Algorithms; // Fall 2018 } /* Notes etc. on Canvas */ CS 492 { Operating Systems; // Spring 2018 } /* Notes etc. on Canvas */ CS 146 { Intro to Web Programming and Project Development; // Fall 2017 } /* Notes etc. on Canvas */ CS 492 { Operating Systems; // Spring 2017 } /* Notes etc. on Canvas */ CS 146 { Intro to Web Programming and Project Development; // Fall 2016 } /* Notes etc. on Canvas */ CS 443 { Database Practicum; // Fall 2016 } /* Thanks to Isaac and Rob for the terminal styling. */ exit(0); /* Notes etc. on Canvas */ CS 570 { Data Structures; // Spring 2019 } /* Notes etc. on Canvas */ CS 590 { Algorithms; // Spring 2019 } /* Notes etc. on Canvas */ CS 146 { Intro to Web Programming and Project Development; // Fall 2018 } /* Notes etc. on Canvas */ CS 590 { Algorithms; // Fall 2018 } /* Notes etc. are available on Canvas */ CS 492 { Operating Systems; // Spring 2018 } /* Notes etc. are available on Canvas */ CS 146 { Introduction to Web Programming and Project Development; // Fall 2017 } /* Notes etc. are available on Canvas */ CS 492 { Operating Systems; // Spring 2017 } /* Notes etc. are available on Canvas */ CS 146 { Introduction to Web Programming and Project Development; // Fall 2016 } /* Notes etc. are available on Canvas */ CS 443 { Database Practicum; // Fall 2016 } /* Thanks to Isaac and Rob for the terminal styling. */ exit(0); PUBLICATIONS Iraklis Tsekourakis, Philippos Mordohai A comparison of Scene Flow Estimation Paradigms RFMI 2017 Iraklis Tsekourakis, Philippos Mordohai Consistent 3D Background Model Estimation from Multi-Viewpoint Videos 3DV 2015 Iraklis Tsekourakis, Christos Orlis, Dimosthenis Ioannidis, Dimitrios Tzovaras The SAVE ME project real-time disaster mitigation and evacuation management system 7th IET International Conference on System Safety, incorporating the Cyber Security Conference 2012 Iraklis Tsekourakis, Christos Orlis, Dimosthenis Ioannidis, Dimitrios Tzovaras A Decision Support System for Real-Time Evacuation Management and Rescue Team Planning during Hazardous Events in Public Infrastructures 13th International Conference on Transport Systems Telematics, TST 2012 Iraklis Tsekourakis, Andreas L. Symeonidis Dealing with Trust and Reputation in Unreliable Multi-agent Trading Environments The 2011 Workshop on Trading Agent Design and Analysis, TADA 2011, held with the 22nd International Joint Conference On Artificial Intelligence, IJCAI 2011 MS ADVISING Please see the FAQ before contacting your advisor. Many of the answers are already there. See the Spring 2019 orientation notes for more information, and to figure out who is your advisor! I cannot help with issues related to admissions, finances or student visas. Please contact the appropriate office for these matters. I do not waive prerequisites for courses without the consent of the instructor. (This is because I do not claim to know which specific background material is required for each class.) If you think that you have covered all the prerequisites for a class, please email the instructor or bring a completed change of enrollment form to class for him or her to sign. These forms are available here along with other useful forms and the schedule of classes. Please send me an email with your questions before stopping by my office. If I can't answer via email, we'll arrange an appointment. Email is preferred instead of telephone for record-keeping and other purposes. Iraklis Tsekourakis 2019 diff --git a/src/data/compiled_bios/4372.txt b/src/data/compiled_bios/4372.txt new file mode 100644 index 0000000000..1c5ae37901 --- /dev/null +++ b/src/data/compiled_bios/4372.txt @@ -0,0 +1 @@ + Wendy Hui Wang Associate Professor Stevens Institute of Technology Department of Computer Science Castle Point on Hudson Hoboken, NJ 07030 Office: North Building 212 Phone: +1 201-216-8736 Email: Hui.Wang AT stevens DOT edu [ Bio] [ Research] | [ Teaching] | [ Publication | [ Service&Activities] | [ Talks] | [ Students] Brief Bio: Dr. Hui (wendy) Wang is an associate professor of Computer Science Department of the Stevens Institute of Technology. She received her Ph.D. from University of British Columbia, Vancouver, Canada. Her research interests lie on database management and data mining in general, with particular focus on database security and data privacy. She was awarded NSF CAREER award in 2014 for her research in verifiable computations in cloud computing. Full CV Research Interests : Security and privacy of Big data analytics Human-assisted Big data analytics Large-scale data marketplaces Note to prospective students: I am recruiting well-motivated and hard-working doctoral students who are interested in information security&privacy and database management. If you are interested, please send me email with your CV and transcripts. Teaching: Fall 2018: Database management system (CS442 A/B) Fall 2017: Database management system (CS442A/B) Spring 2017: Database management and exploration on the Web (CS609) Fall 2016: Database management system (CS442A/CS442B) Spring 2016: Opearting system (CS/CPE 492, CS520) Database management and exploration on the Web (CS609) Fall 2015: Database management system (CS/CPE 442) Spring 2015: Opearting system (CS/CPE 492, CS520) Database management and exploration on the Web (CS609) Fall 2014: Database management system (CS/CPE 442) Fall 2014: Database management system (CS/CPE 442) Spring 2014: Opearting system (CS/CPE 492) Fall 2013: Database management system (CS/CPE 442) Spring 2013: Opearting system (CS492) , Advanced Database management system (CS609) Fall 2011: Database management system (CS/CPE 442) Spring 2011: Operating system (CS/CPE 492) Fall 2010: Database management system (CS/CPE 442) Fall 2009: Database management system (CS/CPE 442) Spring 2009: Operating System (CS/CPE 492) Fall 2008: Advanced Database Management System (CS810E) Spring 2008: Operating System (CS492) Selected Publications: Journal Boxiang Dong, Hui Wang. Secure Partial Encryption with Adversarial Functional Dependency Constraints in the Database-as-a-Service Model. Journal of Data & Knowledge Engineering, in press, 2018. Boxiang Dong, Hui (Wendy) Wang, Anna Monreale, Dino Pedreschi, Fosca Giannotti, Wenge Guo. Authenticated Outlier Mining for Outsourced Databases. Transactions on Dependable and Secure Computing, 2017. Ruilin Liu, Hui Wang. Hiding Outliers into Crowd: Privacy-preserving Data publishing with Outliers. Elsevier Data & Knowledge Engineering (DKE) 100: 94 - 115. 2015 Boxiang Dong, Ruilin Liu, Hui Wang. Trust-but-Verify: Verifying Result Correctness of Outsourced Frequent Itemset Mining. IEEE Transaction of Service Computing 9(1): 18 - 32 (2016) Hongbo Liu, Hui Wang, Yingying Chen, Dayong Jia. Defending against Frequency-based Attacks on Distributed Data Storage in Wireless Networks. Transactions on Sensor Networks [pdf] . In press. Xiaoying Wu, Dimitri Theodoratos, Wendy Hui Wang, Timos Sellis. Optimizing XML Queries: Bitmapped Materialized Views vs. Indexes [pdf] , Information System 38(6): 863-884 (2013). Xiuyuan Zheng, Yingying Chen, Hui Wang, Hongbo Liu, Ruilin Liu, Neighborhood Prediction Based Decentralized Key Management for Mobile Wireless Networks [pdf] , Wireless Networks 19(6): 1387-1406 (2013). Fosca Giannotti, Laks V.S. Lakshmanan, Anna Monreale, Dino Pedreschi, Hui (Wendy) Wang, Privacy-preserving Mining of Association Rules from Outsourced Transaction Databases in Clouds [pdf] , IEEE Systems Journal 7(3): 385-395 (2013). Juan Li, Hui Wang, Samee Ullah Khan, Qingrui Li, Albert Y. Zomaya, "A Fully Distributed Scheme for Disceroy of Semantic Relationships", Transactions on Services Computing (Impact factor: 3.7 (2011)), in press. Juan Li, Hui Wang, Samee U. Khan, "A Semantics-Based Approach to Large-Scale Mobile Social Networking", in Journal of Mobile Networks and Applications (Impact factor: 1.013 (2009)), Volume 17, Issue (2) (2012), Page 192-205. Francesco Bonchi, Laks V.S. Lakshmanan, Hui Wendy Wang, Trajectory Anonymity in Publishing Personal Mobility Data [pdf] , SIGKDD Exploration, Volume 13, Issue 1, 2011. Hui Wang, Ruilin Liu, "Privacy-Preserving Publishing Microdata with Full Functional Dependencies", in Journal of Data & Knowledge Engineering (DKE) (Impact Factor: 1.745 5-Year Impact Factor: 2.036). [pdf] , Volume 70, Issue 3, March, 2011 Yingying Chen, Hui Wang, Xiuyuan Zheng, and Jie Yang, "A Reinforcement Learning-Based Framework for Prediction of Near Likely Nodes in Data-Centric Mobile Wireless Networks", in EURASIP Journal on Wireless Communications and Networking, vol. 2010, Article ID 319275, June 2010. Hui Wang, "Privacy-preserving data publishing in cloud computing", Vol.25, No. 3, May 2010, Journal of Computer Science and Technology. [pdf] Nicolas Bruno, Hui Wang, "The Threshold Algorithm: from Middleware Systems to the Relational Engine", IEEE Transaction on Knowledge and Data Engineering (TKDE), Volume 19, No. 4, April 2007. [pdf] Conferences Yanying Li, Boxiang Dong, Hui Wang. PIVOT: Privacy-preserving Outsourcing of Text Data for Word Embedding. AAAI Spring Symposium on Privacy-Enhancing Artificial Intelligence and Language Technologies (PAL). Palo Alto, california. March 25 - 27, 2019. Yanying Li, Haipei Sun, Boxiang Dong, Hui Wang. Cost-efficient Data Acquisition on Online Data Marketplaces for Correlation Analysis. 45th International Conference on Very Large Data Bases (VLDB). Los Angeles, California. August 26 -30, 2019. Haipei Sun, boxiang Dong, Hui Wang, Ting Yu, Zhan Qin. Truth Inference on Sparse Crowdsourcing Data with Local Differential Privacy. IEEE International conference on Big Data (regular paper, acceptance rate 98/518=18.9%). Seattle, WA. December 10 - 13, 2018. Haipei Sun, Boxiang Dong, Bo Zhang, Hui Wang, Murat Kantarcioglu. Sensitive Task Assignments in Crowdsourcing Markets with Colluding Workers. 34th IEEE International Conference on Data Engineering (ICDE). Pairs, France. April 16 - 19. 2018. Bo Zhang, Boxiang Dong, Hui Wang. AssureMR: Verifiable SQL Execution on MapReduce. 34th IEEE International Conference on Data Engineering (ICDE). Paris, France. April 16 - 19, 2018. Boxiang Dong, Zhengzhang Chen, Hui Wang, Lu-An Tang, Kai Zhang, Ying Lin, Zhichun Li and Haifeng Chen. Efficient Discovery of Abnormal Event Sequences in Enterprise Security Systems. In the Proceedings of ACM International Conference on Information and Knowledge Management (CIKM). Singapore. November 6 - 10, 2017. Acceptance rate: 171/820 = 21%. Boxiang Dong and Hui Wang. EARRING: Efficient Authentication of Outsourced Record Matching. In the Proceedings of 2017 IEEE International Conference on Information Reuse and Integration (IRI 2017). San Diego. August 4 - 6, 2017. Acceptance rate: 29%. Best paper award Bo Zhang, Boxiang Dong and Hui Wang. Budget-constrained Result Integrity Verification of Outsourced Data Mining Computations. The 31st Annual IFIP WG 11.3 Conference on Data and Applications Security and Privacy (DBSec), Philadelphia, PA, July 19-21, 2017. Acceptance rate: 0.35 Changjiang Cai, Haipei Sun, Boxiang Dong, Bo Zhang, Ting Wang and Hui Wang. Pairwise Ranking Aggregation by Non-interactive Crowdsourcing with Budget Constraints. The 37th IEEE International Conference on Distributed Computing (ICDCS) 2017, June 5 - 8, 2017, Atlanta, GA. Xinyang Zhang, Shouling Ji, Hui Wang and Ting Wang. MDL: Accurate and Private Multiparty Deep Learning. The 37th IEEE International Conference on Distributed Computing (ICDCS) 2017, June 5 - 8, 2017, Atlanta, GA. Yanying Li, Boxiang Dong, Dominik Jedruszczak and Hui Wang. Budget-constrained High-quality Data Purchase on Data Markets. Workshop of Women in Data Science. Co-located with SIAM International Conference on Data Mining (SDM), April 27 - 29, 2017, Houston, Texas, USA Boxiang Dong, Hui Wang. Frequency-hiding Dependency-preserving Encryption for Outsourced Databases. IEEE International Conference on Data Engineering (ICDE). April 19 - 22, 2017, San Diego, California. Yijin Li, Hui Wang. Similarity Recoverable, Format-preserving String Encryption. The 18th Asia Pacific Web Conference (APWeb). Sept 23 - 25, 2016, Suzhou, China. Boxiang Dong, Hui Wang. ARM: Authenticated Approximate Record Matching for Outsourced Databases. In the IEEE 17th International Conference on Information Reuse and Integration (IRI), Pittsburgh, PA, July 28 - 30, 2016. Acceptance rate: 25.6%. Hui Wang, Yu Tao, Kai Wang. Developing Online Privacy Education Tools with Inputs from the Crowd. The 22nd Americas Conference on Information Systems (AMCIS). San Diego, August 11 - 14, 2016. Anna Monreale, Hui Wang. Privacy-preserved Data Mining in Cloud (Invited paper). SIMICE workshop, colocated with the 40th IEEE Computer Society International Conference on Computers, Software & Applications. Atlanta, Georgia, June 10-14, 2016. Boxiang, Hui Wang, Jie Yang. Secure Data Outsourcing with Adversarial Data Dependency Constraints. The IEEE International Conference on Big Data Security on Cloud (BigDataSecurity 2016). New York. April 9 - 10, 2016. Xinyang Zhang, Shouling Ji, Hui Wang and Ting Wang. MDL: Accurate and Private Multiparty Deep Learning. The 37th IEEE International Conference on Distributed Computing (ICDCS) 2017, June 5 - 8, 2017, Atlanta, GA. Yanying Li, Boxiang Dong, Dominik Jedruszczak and Hui Wang. Budget-constrained High-quality Data Purchase on Data Markets. Workshop of Women in Data Science. Co-located with SIAM International Conference on Data Mining (SDM), April 27 - 29, 2017, Houston, Texas, USA Boxiang Dong, Hui Wang. Frequency-hiding Dependency-preserving Encryption for Outsourced Databases. IEEE International Conference on Data Engineering (ICDE). April 19 - 22, 2017, San Diego, California. Acceptance rate: 63/356 = 18% Yijin Li, Hui Wang. Similarity Recoverable, Format-preserving String Encryption. The 18th Asia Pacific Web Conference (APWeb). Sept 23 - 25, 2016, Suzhou, China. Boxiang Dong, Hui Wang. ARM: Authenticated Approximate Record Matching for Outsourced Databases. In the IEEE 17th International Conference on Information Reuse and Integration (IRI), Pittsburgh, PA, July 28 - 30, 2016. Acceptance rate: 25.6%. Hui Wang, Yu Tao, Kai Wang. Developing Online Privacy Education Tools with Inputs from the Crowd. The 22nd Americas Conference on Information Systems (AMCIS). San Diego, August 11 - 14, 2016. Anna Monreale, Hui Wang. Privacy-preserved Data Mining in Cloud (Invited paper). SIMICE workshop, colocated with the 40th IEEE Computer Society International Conference on Computers, Software & Applications. Atlanta, Georgia, June 10-14, 2016. Boxiang, Hui Wang, Jie Yang. Secure Data Outsourcing with Adversarial Data Dependency Constraints. The IEEE International Conference on Big Data Security on Cloud (BigDataSecurity 2016). New York. April 9 - 10, 2016. Ruilin Liu, Wendy Wang. Result Integrity Verification of Outsource Privacy-preserving Frequent Itemset Mining, SIAM International Conference on Data Mining (SDM). Vancouver, Canada, Apri 30 - May 2, 2015. Boxiang Dong, Ruilin Liu, Wendy Hui Wang. PraDa: Privacy-preserving Data-Deduplication-as-a-Service, ACM International Conference on Information and Knowledge Management (CIKM), Nov 3 - 7, 2014, Shanghai, P.R.China. Acceptance rate: 25/123 = 20%. Ruilin Liu, Wendy Hui Wang, Changhe Yuan. Result Integrity Verification of Outsourced Bayesian Network Structure Learning [pdf] , 2014 SIAM International Conference on Data Mining (SDM), April 24 - 26, 2014, Philadephia, Pennsylvania, USA. Ruilin Liu, Wendy Hui Wang, Flip Korn. iCoDA: Interactive Exploratory Data Completeness Analysis [pdf] , IEEE International Conference on Data Engineering (ICDE). Chicago, IL, March 31 - April 4, 2014. Boxiang Dong, Ruilin Liu, Wendy Hui Wang. Integrity Verification of Outsourced Frequent Itemset Mining with Deterministic Guarantee [pdf] , IEEE International Conference on Data Mining (ICDM), Dec. 2013. Acceptance rate: 159/809 = 19.7%. Boxiang Dong, Ruilin Liu, Wendy Hui Wang, Result Integrity Verification of Outsourced Frequent Itemset Mining [pdf] . The 27th Annual IFIP WG 11.3 Working Conference on Data and Applications Security and Privacy, Newark, NJ, July 15 -17, 2013. Anna Monreale, Wendy Hui Wang, Francesca Pratesi, Salvatore Rinzivillo, Dino Pedreschi, Gennady Andrienko, Natalia Andrienko, Privacy-preserving Distributed Movement Data Aggregation [pdf] , 16th AGILE Conference on Geographic Information Science, 14-17 May 2013, Leuven, Belgium. Ruilin Liu, Hui(Wendy) Wang, Philippos Mordohai, Hui Xiong. Integrity Verification of K-means Clustering Outsourced to Infrastructure as a Service (IaaS) Providers [pdf] , 2013 SIAM International Conference on Data Mining (SDM), May 2 - 4, 2013, Austi, Texas, USA. Flip Korn, Ruilin Liu, Hui Wang. Understanding Data Completeness in Network Monitoring Systems (Full paper; 10.7% acceptance rate for 756 submissions) [pdf] . The IEEE International Conference on Data Mining (ICDM), Dec 10 - 13, 2012. Hui Wang, Integrity Verification of Cloud-hosted Data Analytics Computations [pdf] , VLDB Cloud Intelligence workshop, August 27 -31, 2012, Istanbul, Turkey. Ruilin Liu, Hui Wang, Anna Monreale, Dino Pedreschi, Fosca Giannotti, Wenge Guo, AUDIO: An Integrity Auditing Framework of Outlier-mining-as-a-service Systems [pdf] , The Euopean Conference on Machine Learning and Principles and Practice of Knowledge Discovry in Databases (ECML/PKDD), (acceptance ratio: 109/443=23%), September 24 - 28, 2012, Bristol, UK. Fosca Giannotti, Laks V. S. Lakshmanan, Anna Monreale, Dino Pedreschi, Wendy Hui Wang: Privacy-preserving Mining of Association Rules from Outsourced Transaction Databases. Twentieth Italian Symposium on Advanced Database Systems (SEBD): 233-242. June 24 - 27, 2012, Venice, Italy. Qingrui Li, Juan Li, Hui Wang, Ashok Ginjala, "Semantics-enhanced Privacy Recommendation for Social Networking Sites", The 10th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (IEEE TrustCom 11), Changsha, China, November 16-18, 2011. Hui Wang, Ruilin Liu, Dimitri Theodoratos and Xiaoying Wu, "Efficient Storage and Temporal Query Evaluation in Hierarchical Data Archiving Systems", 23rd Scientific and Statistical Database Management Conference (SSDBM'11), July 20-22, 2011, Portland, OR, USA Xiuyuan Zheng, Hui Wang, Yingying Chen, Hongbo Liu, Ruilin Liu, "A Decentralized Key Management Scheme via Neighborhood Prediction in Mobile Wireless Networks", the 7th IEEE International Conference on Mobile Ad-hoc and Sensor Systems (MASS 2010), acceptance ratio: 51/185=0.28), Nov. 8-12, 2010, San Francisco, CA. [pdf] Angela Bonifati, Hui Wang, Ruilin Liu, "SPAC: A Distributed, Peer-to-Peer, Secure and Privacy-aware Social Space", the 19th International Conference on Information and Knowledge Management (CIKM'10), Demo track, Oct. 26 - 30, 2010, Toronto, Canada. Angela Bonifati, Hui Wang, Ruilin Liu, "Distributed and Secure Access Control in P2P Databases", the 24th Annual IFIP WG 11.3 Working Conference on Data and Applications Security (DBSec), June 21 - 23, 2010, Rome, Italy. [pdf] Hongbo Liu, Hui Wang, Yingying Chen, "Ensuring Data Storage Security against Frequency-based Attacks in Wireless Networks", The 6th IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS '10), June 21 - 23, 2010, Santa Barbara, California. [pdf] Juan Li, Hui Wang, "Distributed Discovery of Semantic Relationships", IEEE International Workshop on Knowledge Management for Future Services and Networks (KMFSAN), April 23, 2010, Osaka, Japan. [pdf] Chih-Cheng Chang, Brian Thompson, Hui Wang, Danfeng Yao, "Towards Publishing Recommendation Data With Predictive Anonymization", ACM Symposium on Information, Computer and Communications Security (AsiaCCS), April 13-16, 2010, Beijing, China (Acceptance ratio: 25/166=0.15). [pdf] Hui Wang, Ruilin Liu, "Privacy-Preserving Publishing Data with Full Functional Dependencies", International Conference on Database Systems for Advanced Applications (DASFAA), April 1-4, 2010, Tsukuba, Japan (Acceptance ratio: 55/237=0.23). [pdf] Fosca Giannotti, Laks V.S. Lakshmanan, Anna Monreale, Dino Pedreschi, Hui Wang, "Privacy-preserving Mining of Association Rules from Outsourced Transaction Databases" (position paper), the workshop on Security and Privacy in Cloud Computing (SPCC2010), in conjunction with the international conference on Computers, Privacy and Data Protection, January, 2010, Brussels, Belgium. [pdf] Hui Wang, Ruilin Liu, Xiuyuan Zheng, Yingying Chen, Hongbo Liu, "To Do or Not to Do: Metadata-guided Query Evaluation in Content Caching Networks", IEEE Globecom, Nov. 30 - Dec. 4, 2009, Hawaii, USA. [pdf] Xiaoying Wu, Dimitri Theodoratos, Wendy Hui Wang, "Answering XML Queries Using Materialized Views Revisited", Full paper (acceptance ratio: 123/847 = 14.5%), The 18th ACM Conference on Information and Knowledge Management (CIKM), November 2-6, 2009, Hong Kong, China. [pdf] Yingying Chen, Hui Wang, Xiuyuan Zheng, Jie Yang, "Prediction of Near Likely Nodes in Data-Centric Mobile Wireless Networks", in Proceedings of IEEE MILCOM, Oct 18 - 21, 2009, Boston, USA. [pdf] Ruilin Liu, Hui Wang. "Integrity Verification of Outsourced XML Databases". IEEE International Conference on Privacy, Security, Risk and Trust (PASSAT-09)(Acceptance ratio: 15%). August 29-31, 2009, Vancouver, Canada. [pdf] Brian Thompson, Chih-Cheng Chang, Hui Wang, Danfeng Yao. "Privacy-aware publishing of Netflix data". IEEE Security & Privacy Symposium, Oakland, May 17-20, 2009. Extended Abstract. [pdf] Hui Wang, Ruilin Liu, "Hiding Distinguished Ones into Crowd: Privacy-Preserving Publishing Data with Outliers", the 12th International Conference on Extending Database Technology (EDBT), Saint-Petersburg, Russia, March 23-26, 2009 (Average acceptance ratio: 16%). [pdf] Roman Yarovoy, Francesco Bonchi, Laks V. S. Lakshmanan, Hui Wang, "Anonymizing Moving Objects: How to Hide a MOB in a Crowd?", the 12th International Conference on Extending Database Technology (EDBT), Saint-Petersburg, Russia, March 23-26, 2009 (Average acceptance ratio: 16%). [pdf] Hui Wang, "Ambiguity: Hide the Presence of Individuals and Their Privacy with Low Information Loss", the 14th International Conference on Management of Data (COMAD), Mumbai, India, Dec 17 - 19, 2008 (acceptance ratio: 38%). [pdf] Hui Wang, Laks V.S. Lakshmanan, "Probabilistic Privacy Analysis of Published Views", Workshop on Privacy in the Electronic Society (WPES), CCS, Alexandria, VA USA, Oct. 2006. [pdf] Hui Wang, Laks V.S Lakshmanan, Efficient Secure Query Evaluation over Encrypted XML Database. VLDB'06. [pdf] . Laks V.S Lakshmanan, Hui Wang, Jessica Zheng Zhao, "Answering Tree Pattern Queries Using Views". VLDB'06. [pdf] Laks V.S Lakshmanan, Ganesh Ramesh, Hui Wang, Jessica Zheng Zhao, "Testing Satisfiability of Tree Pattern Queries". VLDB'04. [pdf] . Book Chapter Hui Wang, Divesh Srivastava, Laks V.S. Lakshmanan, Sungran Cho, Sihem Amer-Yahia, "Optimizing Tree Pattern Queries over Secure XML Databases", Book "Security in Decentralized Data Management", Springer, 2006. [pdf] Students: Previous Students Ruilin Liu (PhD., first employment: Huawei Ltd., Bridgewater, NJ; current employment: Microsoft, Redmond WA) Boxiang Dong (PhD., first employment: Assistant professor, Montclair State University, NJ) Yijin Li (MSc., first employment: Apple Inc.) Junning Tong (MSc., first employment: Nasdaq) Current students Bo Zhang (Ph.D, joined Fall 2015) Haipei Sun (Ph.D, joined Fall 2016) Yanying Li (Ph.D), joined Spring 2017) diff --git a/src/data/compiled_bios/4373.txt b/src/data/compiled_bios/4373.txt new file mode 100644 index 0000000000..a6cf213b11 --- /dev/null +++ b/src/data/compiled_bios/4373.txt @@ -0,0 +1 @@ + Shusen Wang Assistant Professor Department of Computer Science Stevens Institute of Technology EMAIL Shusen DOT Wang AT stevens DOT edu OFFICE North Building 205 Home CV Publications Teaching Miscellaneous About Me I am a tenure-track assistant professor at the Department of Computer Science, Stevens Institute of Technology. From 2016 to 2018, I was postdoc scholar at Department of Statistics, UC Berkeley. I worked with Michael Mahoney . In 2011 and 2016, I got both of my doctoral and bachelor's degrees from Zhejiang University, China. My advisor was Zhihua Zhang . During my doctoral study, I have been supported by " the Microsoft Research Asia Fellowship " and " Baidu Scholarship ", which were the highest fellowships/scholarships in China. To prospective students: - I will take one or two PhD students and offer full financial support. Drop me a line if you would like to apply. - I will NOT offer RA position to master student. - I may take Stevens undergraduates who have high GPA and want to start research training early. But I am unable to provide financial support. Research Interest Machine learning Computational methods such as numerical optimization, matrix computation, bootstrap, etc. Statistical machine learning, ensemble methods, regression, clustering, dimensionality reduction, kernel methods, Bayesian methods. Randomized numerical linear algebra Matrix sketching, randomized matrix computation, kernel approximation, etc. Distributed computing The design, analysis, and implementation of distributed algorithms (for machine learning and optimization). Major Experience Department of Computer Science, Stevens Institute of Technology, from 09/2018 tenure-track assistant professor Department of Statistics, UC Berkeley, 07/2016---06/2018 postdoc researcher, with Michael Mahoney Zhejiang University, Doctor of Engineering, 09/2011---06/2016 College of Computer Science and Techonology Zhejiang University, Bachelor of Engineering, 08/2007---07/2011 College of Computer Science and Techonology Chu Kochen Honors College Graduate with "the 100 Best Bachelor Theses Award" Representative Papers [ Full List ] [ Google Scholar ] Scalable Kernel K-Means Clustering with Nystrom Approximation: Relative-Error Bounds . Shusen Wang , Alex Gittens, and Michael W. Mahoney. Journal of Machine Learning Research ( JMLR ), 20(12):1-49, 2019. [ pdf ] [ bib ] [ arXiv:1706.02803 ] Sketched Ridge Regression: Optimization Perspective, Statistical Perspective, and Model Averaging . Shusen Wang , Alex Gittens, and Michael W. Mahoney. Journal of Machine Learning Research ( JMLR ), 18(218):1-50, 2018. [ pdf ] [ bib ] GIANT: Globally Improved Approximate Newton Method for Distributed Optimization . Shusen Wang , Farbod Roosta-Khorasani, Peng Xu, and Michael W. Mahoney. In 32nd Conference on Neural Information Processing Systems ( NIPS ), 2018. [ pdf ] [ bib ] [ long version ] [ Spark Code ]. Improving CUR Matrix Decomposition and the Nystrom Approximation via Adaptive Sampling . Shusen Wang and Zhihua Zhang. Journal of Machine Learning Research ( JMLR ), 14: 2729-2769, 2013. [ pdf ] [ bib ] Recent Talks GIANT: Globally Improved Approximate Newton Method for Distributed Optimization . Presented at Scientific Computing and Matrix Computations Seminar , Mahoney's Group Meeting , BASiCS's Group Meeting , BLISS Seminar , etc. At Berkeley, 2017. [ slides ] [ related paper ] Sketched Ridge Regression: Optimization and Statistical Perspectives . Presented at Scientific Computing and Matrix Computations Seminar , Mahoney's Group Meeting , etc. At Berkeley, 2016. Presented at SIAM Conference on Computational Science and Engineering . At Atlanta, 2017. [ slides ] [ related paper ] [ video ] Randomized SVD, CUR Decomposition, and SPSD Matrix Approximation . Presented at the China R Conference . At Beijing, 2016. Presented at Mahoney's Group Meeting , etc. At Berkeley, 2016. [ slides ] [ related paper ] Last update: 2019-02-10 diff --git a/src/data/compiled_bios/4374.txt b/src/data/compiled_bios/4374.txt new file mode 100644 index 0000000000..e89d1d8064 --- /dev/null +++ b/src/data/compiled_bios/4374.txt @@ -0,0 +1 @@ + Xinchao Wang ASSISTANT PROFESSOR Building: North Building Room: 220 Email: xwang135@stevens.edu diff --git a/src/data/compiled_bios/4375.txt b/src/data/compiled_bios/4375.txt new file mode 100644 index 0000000000..22fdda3ad6 --- /dev/null +++ b/src/data/compiled_bios/4375.txt @@ -0,0 +1 @@ + Susanne Wetzel Associate Professor Stevens Institute of Technology Department of Computer Science Castle Point on Hudson Hoboken, NJ 07030, USA Office: Babbio 634 Phone: (+1) 201 216 5610 Fax: (+1) 201 216 8249 email: swetzel AT cs DOT stevens DOT edu Office hours: By appointment. Brief Bio | Research Interests | Teaching | Publications | Students and Postdocs | Current NSF Grants | Professional Activities Brief Bio: I am an Associate Professor at the Computer Science Department of the Stevens Institute of Technology. I first joined the faculty at Stevens as Assistant Professor in 2002. I received my Diplom in Computer Science from the University in Karlsruhe (Germany) and my Ph.D degree in Computer Science from Saarland University (Germany) in 1998. Subsequently, I worked at DaimlerChrysler Research (Stuttgart, Germany), Lucent Technologies Bell Laboratories (Murray Hill, USA) and RSA Laboratories (Stockholm, Sweden). Research Interests: My research interests are in cryptography and algorithmic number theory. In the field of cryptography, my research is focused on wireless security, secret sharing, privacy, and biometrics, and my contributions range from analysis to protocol design. In algorithmic number theory, my research is centered on lattice theory, in particular on developing new algorithms and heuristics for lattice basis reduction. Teaching: Spring 2015: Privacy in a Networked World (CS 578) Fall 2014: Introduction to IT Security (CS 306) Spring 2014: Privacy in a Networked World (CS 578) Fall 2013: Introduction to IT Security (CS 506) Spring 2013: Privacy in a Networked World (CS 578) Fall 2012: Introduction to IT Security (CS 506) Spring 2012: Privacy in a Networked World (CS 578) Fall 2011: Introduction to IT Security (CS 506) Spring 2011: Privacy in a Networked World (CS 578) , Advanced Algorithm Design and Implementation (CS 600) Fall 2010: Introduction to IT Security (CS 506) Spring 2009: Privacy in a Networked World (CS 578) Fall 2008: Introduction to IT Security (CS 465) Spring 2008: Advanced Algorithm Design and Implementation (CS 600) Fall 2007: Analysis of Algorithms (CS 600) Spring 2007: Cryptographic Protocols (CS 693) Fall 2006: Foundations of Cryptography (CS 579) Spring 2006: Analysis of Algorithms (CS 600) Fall 2005: Foundations of Cryptography (CS 668) Spring 2005: Cryptographic Protocols (CS 693) (Co-taught with Professor Rebecca Wright) Fall 2004: Database Management Systems I (CS 561) Spring 2004: Cryptographic Protocols (CS 693) Fall 2003: Analysis of Algorithms (CS 600) Spring 2003: CyberSecurity Protocols, Threats and Defenses (CS 693) Fall 2002: CyberSecurity Techniques and Mechanisms (CS 668) Spring 2002: Basic Cryptography (CS 575) Publications: Full list of Publications Students and Postdocs: Graduated Ph.D. Students: Ulrike Meyer , Ph.D. December 2005 (Darmstadt University of Technology, Second Thesis Advisor) Daniel Mayer , Ph.D. December 2012 (Stevens Institute of Technology) Georg Neugebauer , Ph.D. October 2014 (RWTH Aachen University, Second Thesis Advisor) Current Ph.D. Students: Fabian Frg John Scire Postdocs: Werner Backes (January 2005 - December 2007) Sotiris Ioannidis (February 2005 - June 2007, Co-supervisor with Professor Rebecca Wright) Current NSF Grants: Maritime Cybersecurity - Building Capacity in Critical Infrastructure Protection, NSF DGE 1623714 EAGER: Exploring the Use of Secure Multi-Party Computation in the Context of Organ Donation, NSF CCF 1646999 Travel Grants for The Colloquium for Information Systems Security Education NSF DGE 1642185 CyberCorps: Scholarship for Service Program (SFS) at Stevens , NSF DGE 1433795 TC: Small: Distributed Privacy-Preserving Policy Reconciliation, NSF CCF 1018616 Prior NSF Grants: Cybersecurity Laboratory: Enhancing the Hands-on Experience in Cybersecurity Education, NSF DUE 1027452 EAGER: Quantifying Information Security Risks in Complex Systems at the Interface of Users, Policies, and Technologies, NSF IIS 0959167 Stevens Scholarship for Service (SFS) Program , NSF DUE 0830846 Cybersecurity Laboratory: Translating Theory into Practice, NSF DUE 0516788 Capacity Building Through Interdisciplinary Degrees in Cybersecurity, NSF DUE 0417085 Some Professional Activities: Director of the Bachelor in Cybersecurity degree program at Stevens . PI of the CyberCorps: Scholarship for Service Program at Stevens . Member Executive Committee of DIMACS (Center for Discrete Mathematics and Computer Science) . Board (Vice-President) of the Colloquium for Information Systems Security Education . Member Steering Committee Information Security Conference (ISC). Co-Lead NY/NJ Area Maritime Security Committee (AMSC) Cybersecurity Subcommittee. At Stevens, I am affiliated with the Center for the Advancement of Secure Systemsn and Information Assurance (CASSIA) , the Laboratory for Secure Systems , and the Algebraic Cryptography Center . Some Recent Program Committee Involvement: ACM Asia Conference on Computer and Communications Security (ASIACCS 2017) 9th ACM Conference on Security and Privacy in Wireless and Mobile Networks (WiSec 2016) 19th Information Security Conference (ISC 2016) European Intelligence and Security Informatics Conference (EISIC 2016) 18th Information Security Conference (ISC 2015) European Intelligence and Security Informatics Conference (EISIC 2015) IEEE Conference on Intelligence and Security Informatics (ISI 2015) Last updated August 2016. diff --git a/src/data/compiled_bios/4376.txt b/src/data/compiled_bios/4376.txt new file mode 100644 index 0000000000..e9b44a9c26 --- /dev/null +++ b/src/data/compiled_bios/4376.txt @@ -0,0 +1 @@ + Jun Xu's Home Page Jun Xu Assistant Professor Department of Computer Science The Charles V. Schaefer, Jr. School of Engineering and Science Stevens Institute of Technology North Building 204, 1 Castle Point Terrace Hoboken, NJ 07030 Email: jxu69_at_stevens_dot_edu Biography I received my Ph.D. at the College of Information Sciences and Technology, The Pennsylvania State University, under the advising of Dr. Peng Liu and Dr. Xinyu Xing . Before I joined Penn State, I received my bachelor's degree at University of Science and Technology of China (2009-2013). My research interests include software security and system security. The goal of my research is to automate vulnerability finding, analysis, and mitigation. I also do research to neutralize the threats of malware. I play and design CTF games occasionally. If you share my interests and would like to join me as a PhD student or intern, please send me an email. Students Alejandro Cuevas (Intern 2018.09 - ) [CCTV2 News] Recent Research Highlight [Oct/2018] LEMNA wins the Outstanding Paper Award at CCS 2018. [CCS'18] LEMNA provides a high-fidelity deep learning explanation method dedicated for security applications, such as binary disassembling and malware classification. [July/2018] Our database for the analysis, PoC and execution environments of over 400 vulnerabilities is open sourced. Check out the docker images here: https://vulnreproduction.github.io/ [USENIX Security'18] FUZE leverages fuzzing and symbolic execution to facilitate automated Kernel Use-After-Free exploit. [Feb/2018] CREDAL and POMP wins Penn State Alumni Association Dissertation Award. [Nov/2017] Starts a project with JD.com Security on discovering vulnerabilities on IoT devices. [CCS'17] FlashGuard proposes a lightweight and low-cost solution with SSDs to defend against encryption ransomware. [USENIX Security'17] POMP leverages Intel Processor Tracing and reverse execution to diagnoze software crash without source code. [CCS'16] CREDAL analyzes core dumps caused by memory corruption vulnerabilities to locate the crash point, restore the stack trace, and narrow down code segments carrying vulnerabilities. Journal Publications Feedback Control Can Make Data Structure Layout Randomization More Cost-Effective under Zero-day Attacks Ping Chen, Zhisheng Hu, Jun Xu , Minghui Zhu, Peng Liu Cybersecurity 2018 . Conference Publications LEMNA: Explaining Deep Learning based Security Applications Wenbo Guo, Dongliang Mu, Jun Xu , Purui Su, Gang Wang, Xinyu Xing The 25th ACM Conference on Computer and Communications Security ( CCS'18 ) [ Outstanding Paper Award ]. FUZE: Towards Facilitating Exploit Generation for Kernel Use-After-Free Vulnerabilities Wei Wu, Yueqi Chen, Jun Xu , Xinyu Xing, Xiorui Gong, Wei Zou The 27th USENIX Security Symposium ( USENIX Security'18 ). RoboADS: Anomaly Detection against Sensor and Actuator Misbehaviors in Mobile Robots Pinyao Guo, Hunmin Kim, Nurali Virani, Jun Xu , Minghui Zhu, Peng Liu The 48th IEEE/IFIP International Conference on Dependable Systems and Networks ( DSN'18 ). FlashGuard: Leveraging Intrinsic Flash Propertiesto Defend Against Encryption Ransomware Jian Huang, Jun Xu , Xinyu Xing, Peng Liu, Moinuddin K. Qureshi. The 24th ACM Conference on Computerand Communications Security ( CCS'17 ). POMP: Postmortem Program Analysis with Hardware-Enhanced Post-Crash Artifacts Jun Xu , Dongliang Mu, Xinyu Xing, Peng Liu, Ping Chen, Bing Mao. The 26th USENIX Security Symposium ( USENIX Security'17 ). What You See is Not What You Get! Thwarting Just-in-Time ROP with Chameleon Ping Chen, Jun Xu , Zhisheng Hu, Minghui Zhu, Bin Mao, Peng Liu. The 47th IEEE/IFIP International Conference on Dependable Systems and Networks ( DSN'17 ). Dancing with Wolves: Towards Practical Event-driven VMM Monitoring Liang Deng, Peng Liu, Jun Xu , Ping Chen, Qingkai Zeng. The 13th ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environments ( VEE'17 ). CREDAL: Towards Locating a Memory Corruption Vulnerability with Your Core Dump Jun Xu , Dongliang Mu, Ping Chen, Xinyu Xing, Pei Wang, and Peng Liu. The 23rd ACM Conference on Computer and Communications Security ( CCS'6 ). From Physical to Cyber: Escalating Protection for Personalized Auto Insurance Le Guan, Jun Xu , Shuai Wang, Xinyu Xing, Lin Lin, Heqing Huang, Peng Liu, Wenke Lee The 14th ACM Conference on Embedded Networked Sensor Systems ( Sensys'16 ). A Practical Approach for Adaptive Data Structure Layout Randomization Ping Chen, Jun Xu , Zhiqiang Lin, Dongyan Xu, Bing Mao, Peng Liu The 20th European Symposium on Research in Computer Security ( Esorics'15 ). Workshop Publications Comparing different moving target defense techniques Jun Xu , Pinyao Guo, Mingyi Zhao, Robert F Erbacher, Minghui Zhu, Peng Liu The First ACM Workshop on Moving Target Defense ( MTD'14 ). Other Publications FlashGuard: Hardware-Assisted Recovery Against Encryption Ransomware Jun Xu , Jian Huang, Xinyu Xing, Peng Liu, Moinuddin K. Qureshi. The RSA Conference 2017 Security Scholar Poster Exhibition ( RSAC'17 Poster ). A Symbolic N-Variant System Jun Xu , Pinyao Guo, Bo Chen, Robert F Erbacher, Ping Chen, Peng Liu The 2016 ACM Workshop on Moving Target Defense ( MTD'16 Demo ). Table-Based SQL Injection Detection in WEB Service Jun Xu Bachelor Thesis, University of Science and Technology of China, 2013. Research Experiences Research Assistant, Pennsylvania State University. Cyber Security Lab, 2013-2018 Intern, Samsung Research America System security, Summer 2017 Intern, FireEye Inc. Ransomware detection and analysis, Summer 2016 Intern, FireEye Inc. Malware unpacking, Summer 2015 Intern, Shisheng Inc. Stock market monitoring, Summer 2013 Teaching Experience Teaching Assistant, Pennsylvania State University. [SRA211] Introduction to Informaiton Security, Spring 2017 [SRA211] Introduction to Informaiton Security, Fall 2016 Honor and Award Outstanding Paper Award, ACM CCS 2018 Alumni Association Dissertation Award 2018, Penn State RSA Scholarship, RSA Conference 2017, U.S.A. Student Travel Grant, CCS 2016 Outstanding Honor for National Undergraduates Innovative Project 2013, China Guo-Moruo Scholarship, University of Science and Technology of China 2013 Professional Services CNS'18 , TPC TDSC , Reviewer WOOT '16 , External Reviewer TrustCom '16 , Reviewer MTD '16 , Sub-reviewer List of Vulnerability A list of vulnerabilities our research discovered: link diff --git a/src/data/compiled_bios/4377.txt b/src/data/compiled_bios/4377.txt new file mode 100644 index 0000000000..fee9e4d945 --- /dev/null +++ b/src/data/compiled_bios/4377.txt @@ -0,0 +1 @@ + David Farber DISTINGUISHED CAREER PROFESSOR OF SCIENCE AND TECHNOLOGY STUDIES Building: North Building Room: 304 Email: dfarber@stevens.edu Education Hon. D.Eng., Stevens Institute of Technology, 1999 M.S., Stevens Institute of Technology, 1961 B.E., Stevens Institute of Technology, 1956 General Information David J. Farber, who is known as the Grandfather of the Internet", was the Distinguished Career Professor of Computer Science and Public Policy at Carnegie Mellon University. He is now the Distinguished Career Professor of Science and Technology Studies at Stevens. Mr. Farber is also Adjunct Professor of Internet Studies at CMU, a Distinguished Policy Fellow at the University of Delaware and retired from the University of Pennsylvania, where he was the Alfred Fitler Moore Professor of Telecommunications, and at the University of California at Irvine. At UC Irvine, Farber and several colleagues hit on the idea of the distributed computer system (DCS): multiple microcomputers running software and sharing data and software with one another remotely, using pioneering "'token ring'" technology an early forerunner of present-day cloud computing. At Delaware, he and a team created CSNet and NSFNet, two networks that connected computer science and other university science departments nationwide for the first time. NSFNets technology later formed the methodology and original physical backbone of the Internet. Mr. Farbers career also included positions at Bell Labs, the Rand Corporation and Xerox Data Systems. He is a Fellow of the ACM and the IEEE. A former Stevens trustee, he is currently trustee emeritus. diff --git a/src/data/compiled_bios/4378.txt b/src/data/compiled_bios/4378.txt new file mode 100644 index 0000000000..357b74c4f0 --- /dev/null +++ b/src/data/compiled_bios/4378.txt @@ -0,0 +1 @@ + Ed Amoroso ADJUNCT PROFESSOR Email: eamoroso@att.com Courses CS 573Fundamentals of CyberSecurity diff --git a/src/data/compiled_bios/4379.txt b/src/data/compiled_bios/4379.txt new file mode 100644 index 0000000000..7376fdcbb5 --- /dev/null +++ b/src/data/compiled_bios/4379.txt @@ -0,0 +1 @@ + Edward Banduk ADJUNCT PROFESSOR Email: ebanduk@stevens.edu diff --git a/src/data/compiled_bios/438.txt b/src/data/compiled_bios/438.txt new file mode 100644 index 0000000000..0a4b98ac11 --- /dev/null +++ b/src/data/compiled_bios/438.txt @@ -0,0 +1 @@ +You may be trying to access this site from a secured browser on the server. Please enable scripts and reload this page. Prospective Students Students Alumni Faculty/Staff Media Partners/Peers Login iNTU (Intranet Portal) BOT Intranet GSlink Studentlink ServiceNow@NTU Ariba@NTU NTU VPN Email Reset Password Go to Advanced Search About NTU Corporate Info Organisation Publications Giving Careers Contact Us Visiting NTU Global International Relations Student exchange and short-term mobility programmes Admissions Undergraduate Admissions Graduate Admissions Incoming Non-Graduating Students Academics NTU Education Undergraduate Programmes Graduate Programmes Colleges/Schools Global programmes Institutes & Centres Continuous Education Research Research@NTU Research Directory Research Integrity Research Grant Nanyang Award & Programme Highlights Publications Research Facilities & Equipment NTU Policy Guide News And Events About RSO Campus Life Events Student Life Residential Education Community Engagement Accommodation Food & Beverage Retail & Services Healthcare Sports & Recreation Student Organisations Campus Clubhouse Academic Profile Research Directory Academic Profile Academic Profile Assoc Prof Lin Feng Associate Professor School of Computer Science and Engineering College of Engineering Email: ASFLIN@ntu.edu.sg Phone: (+65)6790 6184 Office: N4-02a-05 Education PhD Nanyang Technological University 1997 MEng Zhejiang University 1986 BEng Zhejiang University 1983 Biography Dr Lin Feng is currently an Associate Professor, the Director of Bioinfomatics Research Centre and the Programme Director of MSc (Digital Media Technology) at School of Computer Engineering, Nanyang Technological University. He has worked for more than 28 funded research projects since joining NTU and has published more than 250 technical papers including journals of high impact factors, edited books and chapters, and peer-reviewed conference proceedings; he has been serving Editorial Board, Guest Editor / Reviewer for tens of journals and books; and he has won 7 prestigious research awards, including the National Science and Technology Advance Award (Second Class) by Chinese State Council. He is a Senior Member of IEEE. Research Interests Dr Lin's research interest includes biomedical informatics, biomedical imaging and visualization, computer graphics, and high-performance computing. Currently active funded projects include: AcRF - Nonrigid graphics shaders for GPU, AcRF - Physiologically-Based Modelling and Visualization of a Beating Heart, AcRF - Properties and Interactions of Functional Modules of the Human Brain Across the Life Span, AcRF - Computational Optical Precision Measurement, AcRF - Elucidate Novel Roles of Unliganded Progesterone Receptor in Breast Cancer, National Science Foundation - Size Detector of Bio-nanoparticles Integratable to Microfluidics, AcRF - In Silico Modelling of Ageing and Stem Cell Based Rejuvenation on Waddingtons Epigenetic Landscape. Completed projects include: AcRF - Full Field Optical Measurement for Transient Phenomena, A-Star/BMRC - Creating an In Vivo Navigational Cellular Fluorescence Imaging System with Dynamically Optimized Endomicroscopy, AcRF - Real-time Diagnostic Endomicroscopy, A-Star/SERC - Collaborative Creation and Application of Interactive Digital Media over the Internet, AcRF - Cellular Fluorescence Imaging with Endomicroscopy, AcRF - Dynamically Adaptable Neurocomputer and Its Application to Recognition of Steroid Hormone Response Elements, SingHealth Foundation Development of a Real-time Fluorescence Endoscopy Diagnostic System for the Early Detection of Oral and Bladder Cancers, NTU/BPE Cluster SEED Funding - Gene Expression Profiling with Oligonucleotide Microarray Technology, SCE ER Lab Research Programme Grant DNA Chip Design Programme, BMRC&NMRC Joint Research Fund - Elucidation of Expression Profiles of Genes in Alpha-fetoprotein Positive and Alpha-fetoprotein Negative Hepatocellular Carcinoma by cDNA Microarray Analysis, AcRF - Design and Simulation of Artificial Bone Implantation, NMRC Research Fund -Nasopharyngeal Carcinoma: 3D Imaging for Staging and Treatment Planning, AcRF - Design and Development of Bio-medical Devices Using Rapid Prototyping (RP) Techniques, AcRF - Real-time Dynamic Simulation, MOH & Singapore Totalisator Research Fund - Transforming Medical Ultrasound Scanning into 3-Dimensional Real-time Organ Imaging to Aid Clinical Diagnosis. Current Projects An Immersive Virtual Endomicroscopic Environment - Towards Innovation in Photodynamic Therepy for Mucosal Cnacer Computational Optical Precision Measurement: Local or Non-local? In Silico Modelling of Ageing and Stem Cell Based Rejunenation on Waddington's Epigenetic Landscape Key Techniques for the Statistic Shape Modeling in Anatomical Structure Reconstruction, Segmentation and Registration Multi-Model Medical Imaging And Informatics For PACS & RIS Nonrigid Graphics Kernels for GPU Physiologically-Based Modeling for Anatomical Structures Physiologically-Based Modelling and Visualization of a Beating Heart Properties and interactions of functional modules of the human brain across the life span Selected Publications Jaydeep De, Xiaowei Zhang, Feng Lin, Li Cheng. (2018). Transduction on Directed Graphs via Absorbing Random Walks. IEEE Transactions on Pattern Analysis and Machine Intelligence, 40 (7), 1770-1784. Xiang Xu, Xingkun Wu, Feng Lin. (2017). Cellular Image Classification . Springer International Publishing AG. Jianping Cai, Feng Lin, Hock Soon Seah. (2016). Graphical Simulation of Deformable Models . Springer International Publishing Switzerland. Kumar A, Lin F, and Rajapakse JC. (2016). Mixed spectrum analysis on fMRI time series. IEEE Transactions on Medical Imaging, 35 (6), 1555-1564. Jaydeep De, Li Cheng, Xiaowei Zhang, Feng Lin, Huiqi Li, Kok Haur Ong, Weimiao Yu, Yuanhong Yu, Sohail Ahmed. (2015). A Graph-theoretical Approach for Tracing Filamentary Structures in Neuronal and Retinal Images. IEEE Transactions on Medical Imaging, DOI: 10.1109/TM (99). Back to Research Directory NTUPageContent Share Article Email Share 1 Academic Profile Research Categories Faculty Listing Get ResIDs Main Campus 50 Nanyang Avenue Singapore 639798 Tel: (65) 67911744 NOVENA CAMPUS 11 MANDALAY ROAD SINGAPORE 308232 Tel: (65) 65138572 Contact Getting to NTU Getting Around NTU blogs@ntu Ask NTU Career Opportunities Research Integrity Follow NTU sg Copyright Disclaimer Data Protection And Privacy Reg. No. 200604393R 2012 Nanyang Technological University Last modified on 7-Dec-2017 diff --git a/src/data/compiled_bios/4380.txt b/src/data/compiled_bios/4380.txt new file mode 100644 index 0000000000..514a65a570 --- /dev/null +++ b/src/data/compiled_bios/4380.txt @@ -0,0 +1 @@ + Phil Barresi ADJUNCT INSTRUCTOR Email: pbarresi@stevens.edu Courses CS 546Web Programming diff --git a/src/data/compiled_bios/4381.txt b/src/data/compiled_bios/4381.txt new file mode 100644 index 0000000000..f75bc07f63 --- /dev/null +++ b/src/data/compiled_bios/4381.txt @@ -0,0 +1 @@ + Khasha Dehnad ADJUNCT PROFESSOR Phone: 201-216-3574 Email: Khasha.Dehnad@stevens.edu diff --git a/src/data/compiled_bios/4382.txt b/src/data/compiled_bios/4382.txt new file mode 100644 index 0000000000..99f4bb40cd --- /dev/null +++ b/src/data/compiled_bios/4382.txt @@ -0,0 +1 @@ + Igor Faynberg ADJUNCT PROFESSOR Email: ifaynber@stevens.edu Education M.A. in Mathematics (Mathematics Diploma),KharkovUniversity; Kharkov, Ukraine, 1976. Thesis : On Applying Generalized Functions to Solving Difference-Differential Equations. Ph.D.(with distinction) in Computer and Information Science. UniversityofPennsylvania, Philadelhpia 1990. Dissertation : The Investigation and Implementation of the Power Series Primal-Dual Algorithm for Solving Separable Convex Quadratic Problems on the AT&T KORBX Processor. UMI Press, 1990. Research Present interests : Cloud computing security; network function virtualization operations systems. Past work : Internet security; cryptographic protocols; multimedia quality of service; network operating systems and intelligent network; optimization methods in mathematical programming; hypervisor and operating systems development; data communications protocols' and network management development. General Information Industry leader, consultant, and author Institutional Service Founder and CTO, Stargazers Consulting (2015 - present) Stevens Institute of Technology, Ajunct Professor (2002 - present) Bell Labs (various staff and directorial positions) 1986-2015 Burroughs Corporation (senior architect, Burroughs Network Architecture) 1984-1986 Sperry Corporation (systems programmer, distributed commincations and operating systems development) 1979-1984 Professional Service European Telecommunication Standards Institute:Chairman of the Security Working Group within the Network Function Virtualization Industiry Specification Group. (2012 - present) International Telecommunication Union (ITU-T): General Editor and Rapporteur (1991-2015) International Organization for Standardization (ISO): Network Security Project Editor in SC 27 (2001-2005) Internet Engineering Task Force: Founder and co-chairman of the PSTN-Internet Internetworking (PINT) Working Group (1997-2001), contributor to various projects and RFC co-author (on-going since 1997) IEEE International Conference on Intelligence in Network:Honorary Technical Committee Member (Technical Committee Chairman of ICIN'2012) IEEE International Conference on Next Generation Teletraffic and Wired/Wireless Advanced Networking NEW2AN: Member of the International Advisory Board (2006-present)) IEEE Globecom: Member of Technical Committee (2012 - present) Selected Publications: Books: I. Faynberg, Goeringer S. (2017) NFV Security: Emerging Technologies and Standards. In: Zhu S., Scott-Hayward S., Jacquin L., Hill R. (eds) Guide to Security in SDN and NFV. Computer Communications and Networks. Springer, Cham https://link.springer.com/chapter/10.1007/978-3-319-64653-4_2 Print ISBN978-3-319-64652-7 Online ISBN978-3-319-64653-4 About this book I. Faynberg, H. Lu, and D. Skuler. Cloud Computing: Business Trends and Technologies, ; John Wiley & Sons. 2015. ISBN: 978-1-118-50121-4. I. Faynberg, L. Gabuzda, and H. Lu. Converged Networks and Services : Internetworking IP and the PSTN .John Wiley & Sons. 2000 (ISBN 0-471-35644-1) I. Faynberg, L. Gabuzda, M. Kaplan, and N. Shah. Intelligent Network Standards and their Applications to Services. McGraw-Hill. 1997 (ISBN 0-07-021422-0) Over 30 refereed refereed publications in journals and conference proceedings. Honors & Awards Bell Labs Fellow, 2011 Appointments Techhnical Manager, Bell Laboratories, 2001 Distinguished Member of Technical Staff, Bell Laboratoris, 1997 Patents & Inventions Over 50 patents awarded in the USA, European Union, China, and Japan (most recent granted in 2016) Courses CS 520Introduction to Operating Systems CS 284Data Structures CS 524Introduction to Cloud Computing diff --git a/src/data/compiled_bios/4383.txt b/src/data/compiled_bios/4383.txt new file mode 100644 index 0000000000..6aa02d22e3 --- /dev/null +++ b/src/data/compiled_bios/4383.txt @@ -0,0 +1 @@ + Peter Jurkat ADJUNCT PROFESSOR Email: pjurkat@stevens.edu Courses CS 501Introduction to JAVA Programming SOC 553Introduction to Text Mining and Statistical Natural Language Processing diff --git a/src/data/compiled_bios/4384.txt b/src/data/compiled_bios/4384.txt new file mode 100644 index 0000000000..fb43a2feec --- /dev/null +++ b/src/data/compiled_bios/4384.txt @@ -0,0 +1 @@ + Sam Kim ADJUNCT PROFESSOR Email: professor.kim@gmail.com Courses CS 561Database Management Systems I CS 562Database Management Systems II diff --git a/src/data/compiled_bios/4385.txt b/src/data/compiled_bios/4385.txt new file mode 100644 index 0000000000..f8bfb449cb --- /dev/null +++ b/src/data/compiled_bios/4385.txt @@ -0,0 +1 @@ + Reza Peyrovian ADJUNCT PROFESSOR Email: rpeyrovi@stevens.edu Education Ph.D., University of Miami 1985 General Information Enterprise Architect, AT&T Labs 1990- current Assistant Professor, University of Miami. 1985-1990 Courses CS 561Database Management Systems I CS 520Introduction to Operating Systems CS 488Computer Architecture CS 510Principles of Programming Languages CS 514Computer Architecture CS 540Fundamentals of Quantitative Software Engineering CS 574Object-Oriented Analysis and Design CS 600Advanced Algorithm Design and Implementation CS 530Software Design and Development diff --git a/src/data/compiled_bios/4386.txt b/src/data/compiled_bios/4386.txt new file mode 100644 index 0000000000..b1a1d2c047 --- /dev/null +++ b/src/data/compiled_bios/4386.txt @@ -0,0 +1 @@ + David Pfeffer ADJUNCT PROFESSOR Email: dpfeffer@stevens.edu Education Bachelors of Science in Computer Science Stevens Institute of Technology Hoboken, NJ Honors;Minor in Law and Public Policy Masters of Science in Computer Science Stevens Institute of Technology Hoboken, NJ 4.0 GPA; Graduate Certificates in Computer Systems, Databases & Service Oriented Architecture, Distributed Systems, Enterprise Computing, Quantitative Software Engineering, Service Oriented Computing Professional Societies Member of the IEEE Computer Society and ACM. Courses CS 521TCP/IP Networking CS 570Introduction to Programming, Data Structures, and Algorithms CS 465Selected Topics in Computer Science SSW 810Selected Topics in Systems Centric Software Engineering diff --git a/src/data/compiled_bios/4387.txt b/src/data/compiled_bios/4387.txt new file mode 100644 index 0000000000..1f9de64391 --- /dev/null +++ b/src/data/compiled_bios/4387.txt @@ -0,0 +1 @@ + Moshiur Rahman ADJUNCT PROFESSOR Email: mrahman@stevens.edu Education Moshiur Rahman joined AT&T Bell Labs, 4EES Switching Division, in 1993, and is now a Principal Member of Technical Staff for AT&T Labs in Middletown, NJ. He currently leads the AT&T Service Assurance FM Data Mining and Analytics Microservices team. During his career, Dr Rahman has worked in several different areas within AT&T, including 4EES Switching, 5EES Switching, Meet Me Teleconference platform, SS7 Signaling, ISDN, ISUP, TCAP, 3G, 4G LTE, VoIP, LightSpeed Voice and Video, Broadband, Wireless Signaling, Virtual Networking, Data Mining, Analytics, and Machine Learning. He is one of the lead inventors in AT&T Labs and has 62 patents awards, 176 patent invention disclosures submitted to the USPTO, and more than 350 invention disclosures submitted to AT&T Intellectual Property. He received an MS in Electrical and Computer Engineering from Michigan and a Ph.D. in Wireless IP Mobility from Stevens Institute. He is an Adjunct Professor at Stevens Institute of Technology, NJ, teaching graduate courses in Computer Science, Systems Engineering and Data Analytics. Courses SYS 625Fundamentals of Systems Engineering SYS 650System Architecture and Design CS 521TCP/IP Networking diff --git a/src/data/compiled_bios/4388.txt b/src/data/compiled_bios/4388.txt new file mode 100644 index 0000000000..909c45d63c --- /dev/null +++ b/src/data/compiled_bios/4388.txt @@ -0,0 +1 @@ + Jan Schaumann ADJUNCT PROFESSOR Email: jschauma@stevens.edu General Information Jan Schaumann is a professional System Administrator and Information Security Engineer, with many years of practical experience from working at places like Twitter , Etsy and Yahoo! . He holds a BS and MS in Computer Science from Stevens Institute of Technology. Jan has been teaching the classes Advanced Programming in the UNIX Environment and Aspects of System Administration since 2004 and is currently working on a course book for teaching System Administration. He is involved in the NetBSD Project and in general a fan of scalable, secure open source software. You can find (a little) more information on his course pages . Courses CS 615Systems Administration CS 631Advanced Programming in the UNIX Environment diff --git a/src/data/compiled_bios/4389.txt b/src/data/compiled_bios/4389.txt new file mode 100644 index 0000000000..9a56ff5538 --- /dev/null +++ b/src/data/compiled_bios/4389.txt @@ -0,0 +1 @@ + Dr. Ruth Schwartz ADJUNCT PROFESSOR Building: Lieb Room: 103 Phone: 201.216.5358 Fax: 201.216.8249 Email: rschwart@stevens.edu Education Ph.D. Management (majors: information systems and operation research) Temple University, Philadelphia, PA M.S. Computer Science School of Engineering and Applied Sciences UCLA, Los Angeles, CA B.S. Liberal Arts(major: mathematics) Northwestern University, Evanston, IL Institutional Service Program Director, Computer Science and Information Systems Selected Publications Generic CS Department. Download . Courses CS 105Introduction to Scientific Computing CS 146Introduction to Web Programming and Project Development CS 347Software Development Process CS 544Health Informatics CS 545Human-Computer Interaction diff --git a/src/data/compiled_bios/439.txt b/src/data/compiled_bios/439.txt new file mode 100644 index 0000000000..ffcdc19422 --- /dev/null +++ b/src/data/compiled_bios/439.txt @@ -0,0 +1 @@ +LIN, Shang-Wei () Site Search: Home Research Publications Teaching Links Biography Awards Education Working Experience Professional Activities Assistant Professor School of Computer Science and Engineering , Nanyang Technological University E-mail: shang-wei.lin AT ntu.edu.sg Office: N4-02c-86 Tel: (+65) 67906209 Address: 50 Nanyang Avenue, Singapore 639798 Biography Dr. LIN Shang-Wei received his B.S. degree in Information Management from National Chung Cheng University in 2003 and received his Ph.D. degree in Computer Science and Information Engineering from the National Chung Cheng University in 2010. In 2011, he was a postdoctoral research fellow in School of Computing, National University of Singapore. From 2012 to 2014, he was a research scientist at Temasek Laboratories in National University of Singapore. From December 2014 to April 2015, he was a postdoctoral research fellow in Singapore University of Technology and Design. He joined School of Computer Engineering in Nanyang Technological University as Assistant Professor in May 2015. Awards ACM SIGSOFT Distinguished Paper Award The 32nd IEEE/ACM International Conference on Automated Software Engineering (ASE), 2017. Best Paper Award The 37th IFIP WG 6.1 International Conference on Formal Techniques for Distributed Objects, Components, and Systems (FORTE), 2017. Education Ph.D. (September 2004 ~ July 2010) Department of Computer Science and Information Engineering, National Chung Cheng University, Taiwan M.S. (September 2003 ~ June 2004) Department of Computer Science and Information Engineering, National Chung Cheng University, Taiwan B.S. (September 1998 ~ January 2003) Department of Information Management National Chung Cheng University, Taiwan H.S. (September 1995 ~ June 1998) National Taichung First Senior High School, Taiwan Working Experience Assistant Professor (May 2015 ~ Present) School of Computer Engineering, Nanyang Technological University (NTU) Research Fellow (December 2014 ~ April 2015) Singapore University of Technology and Design (SUTD) Research Scientist (December 2011 ~ November 2014) Tamesak Laboratories, National University of Singapore (NUS) Research Fellow (January 2011 ~ November 2011) School of Computing, National University of Singapore (NUS) Professional Activities Editorial Board International Journal of Software Effectiveness and Efficiency (IJSEE), effective from September 2017 Program Co-Chair 2nd French Singaporean Workshop in Formal Methods and Applications (FSFMA 2014) 3rd Asian Workshop on Advanced Software Engineering (AWASE 2013) Program Committee 25th Asia-Pacific Software Engineering Conference (APSEC 2018) International Conference on Biometric and Forensic Engineering (ICBFE 2017) 22nd Asia Pacific Software Engineering Conference (APSEC 2015) 17th International Conference on Formal Engineering Methods (ICFEM 2015) Doc Symposium of 19th International Conference of Complex Computer Systems (ICECCS 2014) 16th International Conference on Formal Engineering Methods (ICFEM 2014) Doc Symposium of 19th International Symposium of Formal Methods (FM 2014) 15th International Conference on Formal Engineering Methods (ICFEM 2013) Local Chair 18th International Conference on the Engineering of Complex Computer Systems (ICECCS 2013) This page makes use of the template provided by Mollio under the terms of license Creative Commons (CC BY-SA 4.0) RECRUITING PhD Students I am looking for PhD students interested in applying formal methods on program verifcation. Candidates with backgrounds in model checking or theorem proving, discrete mathematics, and strong programming skills are preferred. Please email me if you are interested. Please refer to NTU Graduate Admission website for details of NTU Graduate programs and scholarships in NTU. Website Launched This webpage, serveing as LIN Shang-Wei's official NTU site , is launched on 8th June, 2015. diff --git a/src/data/compiled_bios/4390.txt b/src/data/compiled_bios/4390.txt new file mode 100644 index 0000000000..cdd8d05014 --- /dev/null +++ b/src/data/compiled_bios/4390.txt @@ -0,0 +1 @@ + Gene Super ADJUNCT PROFESSOR Email: gene@genesuper.com Courses CS 519Introduction to E-commerce diff --git a/src/data/compiled_bios/4391.txt b/src/data/compiled_bios/4391.txt new file mode 100644 index 0000000000..ea932b8d17 --- /dev/null +++ b/src/data/compiled_bios/4391.txt @@ -0,0 +1 @@ + Dr. Gregg Vesonder INDUSTRY PROFESSOR AND DIRECTOR, RESEARCH, SYSTEMS AND SOFTWARE DIVISION * Building: Babbio Room: 504 Phone: 201.216.8107 Fax: 201.216.5541 Email: gvesonde@stevens.edu Education Ph.D. (Cognitive Psychology) - September, 1979 University of Pittsburgh, Pittsburgh, Pennsylvania M.S. (Cognitive Psychology) - September, 1977 University of Pittsburgh, Pittsburgh, Pennsylvania B.A. (Cognitive Psychology) - May, 1973 University of Notre Dame, South Bend, Indiana Research Software Engineering and System Development Cyber-Physical and Socio-Technical Systems Embedded Systems Human Computer Interaction Evolvability General Information Gregg Vesonder is an Industry Professor in Software Engineering and Cyber-Physical Systems at Stevens Institute of Technology. He also serves as an Adjunct Professor at the University of Pennsylvania in Computer and Information Science. Prior to this role he served as Executive Director of the Cloud Platforms Research Department at AT&T Labs Research. His Department at AT&T Labs Research focused both on Cloud Platforms and Mobile and Pervasive Systems. Vesonders career at AT&T spanned 35 years and a variety of roles. Over the years Vesonder led organizations in a variety of areas including parallel cluster computing, speech recognition and text to speech, sensor networks, C++ compiler development, Artificial Intelligence Software Development Environments, Logic Based Tools and Systems, and Expert Systems. Vesonders work on artificial intelligence led to Bell Labs first commercial expert system, ACE. He received a Bell Labs Fellow in 1990 for pioneering work in artificial intelligence applications and technology and outstanding contributions in enabling organizations throughout AT&T to realize benefits from this technology. He was later awarded an AT&T Fellow for this work. Vesonder also was involved with AT&Ts a2bmusic venture initially as Vice President, Research and Development and later as Chief Technology Officer. a2bmusic involved digital music distribution using audio compression software (AAC) and Digital Rights Management software both developed internally. His professional and research activities emphasize software, software engineering and the relationship of small systems (embedded, sensor based) to large scale systems particularly in Cyber-Physical and Socio-Technical domains. Vesonder also is interested in applying these techniques, learning by doing and social media to graduate and post graduate education and STEM for grade school and beyond. Dr. Vesonder has authored over 40 research papers. He is both a Bell Labs and an AT&T Fellow. He has and is serving on multiple program committees, was a member of the editorial board of the International Journal of Information Quality, and the International Journal of Computer Systems Science and Engineering. He was associate editor in charge of Telecommunications and Network Management of the journal, Intelligent Systems Review. He also served as a guest editor of the IEEE Communications Magazine. Enter information here Honors & Awards Bell Labs Fellow AT&T Fellow Navigator Award for excellence in on-line teaching, Stevens Institute of Technology, 2008 Professional Societies Member, IEEE Senior Member, ACM Patents & Inventions Inventors: Charles Blewett, Enrico Bocchieri, Giuseppe Di Fabbrizio, Donnie Henderson, Thomas Killian, Thomas Kirk, David Kormann, Gregory T. Vesonder; System and Method of Organizing Images. Granted Inventors: Robert Raymond Miller II, Gregory T. Vesonder; Collecting and Analyzing Data in a Distributed Sensor Network. Application Submitted Inventors: Matti Hiltunen, Robin Berthier, Michel Cukier, David Kormann, Daniel Sheleheda, Gregory T. Vesonder; Methods, Systems and Products for Estimating Answers to Questions. Granted Inventors: Tamparni Dasu, Gregg Vesonder, Jon R. Wright; Monitoring Complex Data Feeds Through Ensemble Testing. Granted Selected Publications Conference Proceedings Sobesto, B., Cukier, M., Hiltunen, M., Kormann, D., Vesonder, G., Berthier, R. (2011). "DarkNOC: Dashboard for honeypot management", LISA. Panta, R.K., Pelletier, J. A., and Vesonder G.T. (2012). "Efficient Asynchronous Low Power Listening for Wireless Sensor Networks", IEEE Symposium on Reliable Distributed Systems. Journals Wright, J.R., Vesonder, G.T. and Dasu, T. (2007). "Management of Data for Large Scale Data Mining", In Al-Hakim (Ed.) Challenges of managing information quality in service, Idea Group Publishing. 136-153. Wright, J.R., Pelletier, J.A. Dasu, T. and Vesonder, G.T. (2007). "Information quality for network monitoring and analysis", IJIQ. Generic Vesonder G.T. (1988). Rule-based programming in the UNIX system, AT&T Technical Journal, 67 (1), 69-80. Dasu, T., Vesonder, G.T., and Wright, J.R. (2003). Data Quality through Knowledge Engineering, 705-710. Vesonder, G.T.. (2011). The effect of environmental dynamism on evolution and evolvability, . diff --git a/src/data/compiled_bios/4392.txt b/src/data/compiled_bios/4392.txt new file mode 100644 index 0000000000..8bb017fe87 --- /dev/null +++ b/src/data/compiled_bios/4392.txt @@ -0,0 +1 @@ + Jannine Cucchiara ADMINISTRATIVE ASSISTANT / STUDENT AFFAIR ADVISOR Building: North Building Room: 323 Phone: +1 (201) 216-3635 Email: jhuambac@stevens.edu diff --git a/src/data/compiled_bios/4393.txt b/src/data/compiled_bios/4393.txt new file mode 100644 index 0000000000..9afb60e86a --- /dev/null +++ b/src/data/compiled_bios/4393.txt @@ -0,0 +1 @@ + Dawn Garcia EXECUTIVE ADMINISTRATIVE ASSISTANT Building: North Building Room: 301 Phone: +1 (201) 216-5578 Fax: +1 (201) 216-8249 Email: dgarcia@stevens.edu diff --git a/src/data/compiled_bios/4394.txt b/src/data/compiled_bios/4394.txt new file mode 100644 index 0000000000..9b5b337172 --- /dev/null +++ b/src/data/compiled_bios/4394.txt @@ -0,0 +1 @@ + Dmitrii Loginov Systems Administrator Computer Science Department Email: dloginov AT stevens DOT edu Tel: +1 (201) 216-5684 diff --git a/src/data/compiled_bios/4395.txt b/src/data/compiled_bios/4395.txt new file mode 100644 index 0000000000..b5a19d90cd --- /dev/null +++ b/src/data/compiled_bios/4395.txt @@ -0,0 +1 @@ +Prior to Joining BU in 2009 I was a Research Staff Member at IBM Research in New York. I graduated with my PhD in 2006 from the University of Toronto under the supervision of Professor Michael Stumm. Jonathan Appavoo, Dan Schatzberg, James Cadden, Orran Krieger,EbbRTto appear at the OS/R Workshop, DOE, Oct 4-5, 2012, Washington, DC. Dan Schatzberg, James Cadden, Orran Krieger, Jonathan Appavoo,MultiLibOS: An OS architecture for Cloud Computing,under submission. Amos Waterland, Jonathan Appavoo, Margo Seltzer,Parallelization by Simulated Tunneling,in proceedings of the 4th Workshop on Hot Topics in Parallelism (HotPar 12), USENIX, June 7-8, 2012, Berkeley, CA. slides, poster diff --git a/src/data/compiled_bios/4396.txt b/src/data/compiled_bios/4396.txt new file mode 100644 index 0000000000..fc6dbe39b1 --- /dev/null +++ b/src/data/compiled_bios/4396.txt @@ -0,0 +1 @@ +Manos Athanassoulis will be starting as an Assistant Professor January 2019. He conducts research in the area of data systems, with particular emphasis on studying the interplay between new storage and computing hardware, modern complex workloads, and data systems architecture. He has a PhD from cole polytechnique fdrale de Lausanne (2014). He holds a MSc on Computer Systems Technology (2008) and a BSc on Informatics and Telecommunications (2005), both from the University of Athens, Greece. He currently serves as a SNSF Postdoctoral Fellow and a Research Associate at Harvard University. Manos has won an IBM PhD Fellowship and a SNSF Postdoc Mobility award. For his research on data systems architecture, Manos won three top picks in ACM SIGMOD and VLDB, a Most Reproducible Paper award in ACM SIGMOD, and has delivered a tutorial on Access Method Design in the ACM SIGMOD Conference on Data Management. Website: http://manos.athanassoulis.net/ Selected Publications: M. Olma, M. Karpathiotakis, I. Alagiannis, M. Athanassoulis, A. Ailamaki Slalom: Coasting Through Raw Data via Adaptive Partitioning and Indexing Proceedings of the VLDB Endowment, 2017 (Invited to VLDB 2017 Special Issue at VLDBJ) M. Kester, M. Athanassoulis, S. Idreos Access Path Selection in Main-Memory Optimized Data Systems: Should I Scan or Should I Probe? Proceedings of the ACM SIGMOD Conference, 2017 N.Dayan, M. Athanassoulis, S. Idreos Monkey: Optimal Navigable Key-Value Store Proceedings of the ACM SIGMOD Conference, 2017 (Invited to ACM TODS as one of the ACM SIGMOD 2017 best papers) M. Athanassoulis, Z. Yan, S. Idreos UpBit: Scalable In-Memory Updatable Bitmap Indexing Proceedings of the ACM SIGMOD Conference, 2016 (Won the Most Reproducible Paper Award) diff --git a/src/data/compiled_bios/4397.txt b/src/data/compiled_bios/4397.txt new file mode 100644 index 0000000000..698ca724fc --- /dev/null +++ b/src/data/compiled_bios/4397.txt @@ -0,0 +1 @@ +Abbas received his B.AScin Computer Engineering Honors, Co-op and with Distinction from University of Waterlooin2008, hisM.Sc in Computer Science from Georgia Institute of Technologyin2010, and hisM.Sc in Applied Computing from University of Toronto in2012.In September 2016, Abbas joined the Department of Computer Science at Boston University as a lecturer. diff --git a/src/data/compiled_bios/4398.txt b/src/data/compiled_bios/4398.txt new file mode 100644 index 0000000000..db3c7821b2 --- /dev/null +++ b/src/data/compiled_bios/4398.txt @@ -0,0 +1 @@ +Vahid Azadeh-Ranjbar is a Lecturer at Computer Science Department at Boston University who teaches CAS CS103: Introduction to Internet Technologies and Web Programming and CAS CS235: Algebraic Algorithm. Prior to joining the CS department at BU in Spring 2017, Vahid was a Lecturer at Mechanical Engineering Department at The City College of The City University of New York with teaching emphasis in Fluid Mechanics and Miro/Nano Technology for 3 years. Vahids research area of interest is computer stereo vision with a focus on digital image correlation (DIC) and particle image velocimetry (PIV) having tremendous applications in experimental mechanics and robotics. Vahid is endeavoring to integrate his research experiences in mechanical engineering, numerical methods, programming and computer science to develop new solution methods for real-world problems. Vahid holds a B.Sc. (IUST, 2007), an M.Sc. (UT, 2010), an M.Phil. (CCNY, 2013) and a Ph.D. (CCNY, 2017) in the field of Mechanical Engineering. diff --git a/src/data/compiled_bios/4399.txt b/src/data/compiled_bios/4399.txt new file mode 100644 index 0000000000..2fa0e7e788 --- /dev/null +++ b/src/data/compiled_bios/4399.txt @@ -0,0 +1 @@ +Our research focuses on development of algorithms and software tools for the detection and analysis of novel patterns and repeats in DNA and RNA sequences. Our goal is to deliver tools that are effective, efficient, and easy to use. We have a number of ongoing collaborations. Pleasevisit our research pagefor details on our most recent projects. diff --git a/src/data/compiled_bios/44.txt b/src/data/compiled_bios/44.txt new file mode 100644 index 0000000000..2bd86ad1b9 --- /dev/null +++ b/src/data/compiled_bios/44.txt @@ -0,0 +1 @@ + Contact Information kale@illinois.edu (217) 244-0094 4212 Siebel Center View availability (or Mobile view via subscription ) Support Staff : Jennifer Dixon jbdixson@illinois.edu (217) 300-1205 4301 Siebel Center !! The Charm++ Approach !! Paul and Cynthia Saylor Professor Department of Computer Science, University of Illinois at Urbana-Champaign Vitae, Research Accomplishments, Research Statement etc. Brief Biodata Research: My research spans the broad area of parallel computing and its applications. There is a lot more information about my research available on the web page of my research group, the Parallel Programming Laboratory. Publications: Links to the papers Teaching: Spring 2018 MOOC course prep Current Funded Projects NIH: NAMD: Center for Macromolecular Modeling and Bioinformatics NSF: OPEN ATOM: Scalable, Extensible, and Open Framework for Ground and Excited State Properties of Complex System NSF: ParaTreet: Parallel Software for Spatial Trees in Simulation and Analysis DOE: XPACC: Center for Exascale Simulation of Plasma-Coupled Combustion NCSA: Blue Waters Petascale Application Improvement Discovery diff --git a/src/data/compiled_bios/440.txt b/src/data/compiled_bios/440.txt new file mode 100644 index 0000000000..79d243f892 --- /dev/null +++ b/src/data/compiled_bios/440.txt @@ -0,0 +1 @@ +Home | Research Experience | Selected Publications | Research Grants | Research Recognition | Teaching & Student Projects | Major Systems for Industries | Major Presentations | Employment History | Other Professional Activities BSc, MSc, PhD FIEEE, FIET, CEng, Hon.FSIET Professor School of Computer Science and Engineering Nanyang Technological University 50 Nanyang Avenue Singapore 639798 Email: wslin@ntu.edu.sg Postdoc/RA positions open for perceptual video compression, 3D Point-Cloud Compression, and multi-task machine-learning based visual analysis A PhD scholarship available for Jan 2019 Admission contact me at wslin@ntu.edu.sg . A few words about myself... I received a Bachelor's degree in Electronics and then a Master's degree in Digital Signal Processing from Sun Yat-Sen (Zhongshan) University, Guangzhou, China. I obtained my Ph.D. in Computer Vision from Kings College, London University, UK. I taught and researched in Sun Yat-Sen University, Shantou University (China), Bath University (UK), National University of Singapore, Institute of Microelectronics (Singapore), and Institute for Infocomm Research (Singapore). In February 2007, I joined the faculty of Nanyang Technological University. I am aFellow of IEEE, a Fellow of IET, a Chartered Engineer, and Honorary Fellow of SIET. My additional duties include serving as an Associate Editor for IEEE Trans. on Image Processing, and IEEE Trans. Circuits and Systems for Video Technology. My research deals with image processing, perception-based modeling, video compression, and multimedia communication. I believe that good theory is practical and effective teamwork can achieve the goal of "1+1>2"; I have kept a balance of academic research and industrial deployment (and even some business development) in my working life, and also managed over ten successfully-delivered major projects for external customers. It has been my good fortune to have the chances to work with many colleagues and students in various organizations. I always look forward to collaborating with more researchers who think alike, and am eager to meet new students with an interest in image processing, communication and understanding, as well as modeling the relevant physiological and psychological findings. My Final Year Project student, Lim Yuan Jun, developed an interesting demo: Perceptual Characteristics & Phenomena Gallery . We have also built a RetargetedImage Subjective Quality Database and a database for Perceptual Quality Assessment of Screen Content Images (SIQAD). Some related research can be seen here . At leisure, I like reading and taking walks. The books I like include: The Seven Habits of Highly Effective People, by Stephen R. Covey; Fishing Lessons-Insights, Fun, and Philosophy from a Passionate Angler, by Paul Quinnett ; A Brief History of Time, by Stephen Hawking; Bounce: Mozart, Federer, Picasso, Beckham, and the Science of Success, by Matthew Syed; The Happy Student: 5 Steps to Academic Fulfillment and Success, by Daniel Wong; LETTERS TO HIS SON , by the EARL OF CHESTERFIELD; Tan Swie Hian Fables; Teacher Man, by Frank McCourt; Tuesdays with Morrie, by Mitch Albom. I also like Prof Randy Pausch's Last Lecture , and the transcription of "You and Your Research'' by Dr. Richard W. Hamming . I am currently workingwith the following research team members closely: Xinfeng Zhang B.Eng, Ph.D Project: Cloud-based Video Compression Research interests: Image Restoration, Image/Video Compression, Image quality assessment Lu Dong B.Sc. Project: Perceptually based selective rendering Research interests: photorealistic rendering, visual perception for computer graphics Huan Yang B.Sc., M. Sc. Visual signal representation with sparse coding Research interests: visual signal representation, computer vision Qiaohong Li B.Sc. Project: Motion Estimation for the Animation of Virtual Characters visual object monitoring and localization Yuan Yuan B.Eng Project: Visual Surveillance Research interests: Visual Surveillance, Object Detection & Tracking, Visual Attention, Machine Learning Personal website link Prakhya Sai Manoj B.Eng Project: 3D Perception Based Localization in Indoor and Outdoor Environments Research interests: SLAM, Odometry Estimation, Mapping, Mobile Robotics Personal website link Congratulations fto Sai for Best Paper Award in Robotics domain, TENCON 2017! Congratulations for Sai's obtaining the Student Travel Grant, IEEE ICRA2015 and IAPRMVA 2015! Cheng Wentao B.Eng Project: Human Perception Models for Real-Time Graphic Rendering Research interests: Tone Mapping, Image-Based Rendering, Real Time Graphics Zhang Yabin B.Eng Project: Video Coding based on Cloud Research interests: image/video coding, optimization Sharath Chandra Guntuku B.E (Hons) Project: Improved Communication and Mobility in Smart Cities Research interests: Personalization, Computational Social Science, Data mining Personal website link Congratulations for Sharath's obtaining the Student Travel Grants,ACM Multimedia Conference (ACM MM), 2015! Narasimhan Rajesh B.Tech - IT Project: Classifying passes in soccer using spatio-temporal data streams Research Interests : Data mining and analytics Congratulations to Rajesh for winning the 2nd prize for the ST Electronics Security Apps Challenge (2014, Singapore)! It is my pleasure to have had the chances to workwith the following researchers as a team (since 2007): Yuming Fang B.Sc., M. Sc., PhD Research: visual attention modeling, object detection/recognition, visual quality assessment, image/video retargeting, machine learning, medical image processing Current position: Assoc Professor, School of Information Technology, Jiangxi University of Finance and Economics, Nanchang, China Personal website link Congratulations to Yuming for the 2012 Dragon Venture NTU Award! Jinjian Wu B.Eng, PhD Research: image processing, saliency detection, visual perception modeling, and quality assessment Current position: Assoc Professor , School of Electronic Engineering, Xidian University, China Personal website link Congratulations to Jinjian's IEEE International Symposium on Circuits and Systems (ISCAS2013) Student Best Paper Award! Xu Long Ph.D Research: image/signal processing; video coding; especially rate control of video coding, image/signal denosing with wavelet, image coding with waveletmachine learning, solar radio astronomy Current position: Research Professor, National Astronomical Observatories of the Chinese Academy of Sciences (NAOC) Congratulations to Long's being selected into the 100-Talents Plan, Chinese Academy of Sciences, 2014! Manish Narwaria B.Tech., PhD Research: audio and visual signal quality assessment, with image/videoquality assessment via machine learning ( source codes for download ), and Fourier transform ( source codes for download ) Current position: Postdoc Fellow, Ecole polytechnique de luniversit de Nantes, France Lining Zhang B.Eng, M.Eng, PhD Research: content-based image retrieval via machine learnining Current position: Assoc Professor, Univ. of Science & Tech. Beijing, China Zhouye Gu B.Sc., M. Sc., PhD Research:video coding technology and standardization, Current position: Postdoc Fellow, Santa Clara University, USA Anmin Liu B.Sc., PhD Research: Perceptual video coding and quality evaluation Current position: Researcher, Panasonic, Singapore Chenwei Deng Ph.D Research: image/video coding, analysis and processing, computer vision Current position: Professor, Beijing Institute of Technology, China Feng Shao PhD Research: stereoscopic and multi-view video coding, quality evaluation Current position: Professor, Ningbo Univ, China Manoranjan Paul B.Sc.Eng. (hons.), PhD Research: image/video coding/compression/processing and computer vision Current position: Senior Lecturer, School of Computing & Mathematics, Charles Sturt University, Australia Personal website link Congratulations to Ranjan'sobtaining of Research Excellence Award 2011 from School of Computing and Mathematics, Charles Sturt University! Fan Zhang B. Eng, PhD Research: quality of experience, perceptual watermarking Current position: Researcher, Lenovo Cooperation Research, Hong Kong Congratulations to Fan for winning the ITU-T Study Group 12 competition in June 2012, with the visual quality metrics! Guangtao Zhai B.Eng, M.Eng, PhD Research: perceptual modeling, and visual signal processing Current position: Research Professor, Shanghai Jiao Tong University, China Congratulations to Guangtao for the TOP 100 PhD Theses in China 2012! Wei Liu Ph.D Research: Noise estimation and removal in visual signal, image/videoanalysis and processing Current position: Associate Professor, South China Normal University, China Kng Poh Leong, Vincent B.Eng Research: signal detection andprocessing for healthcare systems Current position: Research Engineer, Institute for Inforcomm Research, Singapore Maansi Verma B.Eng Research: Human Vision Charcteristics Current position: US Program Manager, United States-India Educational Foundation, New Delhi, India Nevrez Imamolu B.Sc. (Double Major), M.Sc. Research: image processing, signal processing, pattern recognition, machine learning, intelligent systems Current position: PhD scholar,Chiba University, Japan Personal website link diff --git a/src/data/compiled_bios/4400.txt b/src/data/compiled_bios/4400.txt new file mode 100644 index 0000000000..bbd9bf105b --- /dev/null +++ b/src/data/compiled_bios/4400.txt @@ -0,0 +1 @@ +Azer Bestavros is Professor and former Chair (2000-2007) of the BU Computer Science Department, which he joined in 1991 after completing his PhD at Harvard. His research contributions in the broad areas of networking and distributed systems include pioneering the Web push content distribution model adopted years later by industry, seminal work on Internet traffic characterization, game-theoretic approaches to cloud resource management, and safety certification of networked systems and software. This work yielded 16 PhD theses, 6 issued patents, 3 startups, and hundreds of refereed papers that are cited over 13,000 times. He is the Founding Director of the BU Hariri Institute for Computing, which was set up in 2010 to create and sustain a community of scholars who believe in the transformative potential of computational perspectives in research and education. At the Institute, he is spearheading a number of cloud computing, big-data, and cybersecurity initiatives, most notably the Open Cloud Exchange project which aims to set up a new model for public clouds and for cloud marketplaces. He serves as board member of the Cloud Computing Caucus, a non-profit, non-partisan coalition of industry and key government stakeholders, focused on raising awareness and educating lawmakers and the public on issues associated with cloud computing. diff --git a/src/data/compiled_bios/4401.txt b/src/data/compiled_bios/4401.txt new file mode 100644 index 0000000000..eb753655df --- /dev/null +++ b/src/data/compiled_bios/4401.txt @@ -0,0 +1 @@ +Margrit Betkes research interests are in Computer Vision and Human Computation. She co-leads the Image and Video Computing Research Group in the BU Department of Computer Science. Her research focuses on the development of automated and interactive methods for detection, segmentation, registration, and tracking of objects in visible-light, infrared, and x-ray image data. She has worked on gesture, vehicle, and animal tracking, video-based human-computer interfaces, statistical object recognition, and biomedical image analysis. She has published over 100 original research papers. Since earning her Ph.D. degree at MIT in 1995, she has published over 100 original research papers. Margrit received a Career Award in 2001 for developing Video-based Interfaces for People with Severe Disabilities. She co-invented the Camera Mouse, an assistive technology used worldwide by children and adults with severe motion impairments. While she was a Research Scientist at the Massachusetts General Hospital and Harvard Medical School, she co-developed the first patented algorithms for detecting and measuring pulmonary nodule growth in computed tomography. Margrit currently leads a 5-year research program to develop intelligent tracking systems that reason about group behavior of people, bats, birds, and cells. diff --git a/src/data/compiled_bios/4402.txt b/src/data/compiled_bios/4402.txt new file mode 100644 index 0000000000..74180250f5 --- /dev/null +++ b/src/data/compiled_bios/4402.txt @@ -0,0 +1 @@ +MarkBunfocuses on theoretical computer science, including data privacy, computational complexity, cryptography, and the foundations of machine learning. He uses polynomials (continuous functions) to investigate fundamental properties of Boolean(discrete) functions and has also developed new algorithms and lower bound techniques for differentially private data analysis. He spent the 20182019 academic year at the Simons Institute for the Theory of Computing at UC Berkeley and will be joining BU as a tenure-track assistant professor in July 2019. diff --git a/src/data/compiled_bios/4403.txt b/src/data/compiled_bios/4403.txt new file mode 100644 index 0000000000..c9aacf795c --- /dev/null +++ b/src/data/compiled_bios/4403.txt @@ -0,0 +1 @@ +Professor John W. Byers joined the BU Department of Computer Science in 1999. His research interests center on data-analytic and algorithmic challenges in two disciplines: the science of computer networking (e.g., transport protocols, network architecture) and the empirical study of Internet platforms (such as Airbnb, Groupon, and Yelp). His work strikes a balance between theoretical foundations and rigorous data-driven experimentation. John is Founding Chief Scientist and a member of the Board of Directors at Cogo Labs, a start-up based in Cambridge, MA, where he has had an executive role since the companys founding (as Adverplex, Inc.) in 2005. Cogo leverages a proprietary technology platform for online advertising, algorithmic marketing, and data science analytics to power their incubated portfolio companies from inception to profitability and beyond. Georgios Zervas, Davide Proserpio and John W. Byers.The Rise of the Sharing Economy: Estimating the Impact of Airbnb on the Hotel Industry.To appear in the Journal of Marketing Research (JMR), 2017 John W. Byers, Michael Mitzenmacher and Georgios Zervas.The Groupon Effect on Yelp Ratings: A Root Cause Analysis. In Proc. of the 13th ACM Conference on Electronic Commerce, Valencia, Spain, June 2012. Dongsu Han, Ashok Anand, Fahad Dogar, Boyan Li, Hyeontaek Lim, Michel Machado, Arvind Mukundan, Wenfei Wu, Aditya Akella, David Andersen, John Byers, Srinivasan Seshan and Peter Steenkiste.XIA: Efficient Support for Evolvable Internetworking. In Proc. of the 9th USENIX Symposium on Networked Systems Design and Implementation (NSDI 12), San Jose, CA, April 2012. diff --git a/src/data/compiled_bios/4404.txt b/src/data/compiled_bios/4404.txt new file mode 100644 index 0000000000..7940ab5c71 --- /dev/null +++ b/src/data/compiled_bios/4404.txt @@ -0,0 +1 @@ +Ran Canetti is a professor of Computer Science at Boston University and the director of the center for Reliable Information System and Cyber Security. He is also a Fellow of the International Association for Cryptologic Research and an associate editor of the Journal of Cryptology and Information and Computation. Canetti graduated from the Weizmann Institute of Science, was a researcher at IBM Watson Research Center, a research scientist at MIT and a professor at Tel Aviv University. Canettis research interests span multiple aspects of cryptography and information security, with emphasis on the design, analysis and use of cryptographic protocols. diff --git a/src/data/compiled_bios/4405.txt b/src/data/compiled_bios/4405.txt new file mode 100644 index 0000000000..86694753ce --- /dev/null +++ b/src/data/compiled_bios/4405.txt @@ -0,0 +1 @@ +Professor Chin is a Research Professor in BU CS where he directs LISP (Learning, Intelligence + Signal Processing) group. He is alsoChief Scientist at Systems & Technology Research (STR).Prior to joining STR, Peter was a Chief Scientist Decision Systems at Draper Laboratory in Cambridge, MA. Before that, he was a co-director of DSP group in the Electrical and Computer Engineering (ECE) Department atJohns Hopkins University and a Chief Scientist in Cyber Technology Branch at JHU/APL. Hes a visiting fellow of London Institute of Mathematical Sciences and has held visiting positions at Tufts University (CS), Harvard University (Center for Math & Applications) and MIT (AeroAstro). Hes currently an associate editor of IEEE Transactions on Computational Social Systems and conferencecochair of the annual SPIE/DSS Conferenceon Cyber Sensing. Since completing his PhD in differential geometric methods to understand Einsteinsfield equations, he has been passionate aboutdeveloping geometric and topological methods tolearn and understandinformation in general signals (neural, RF, images, videos, hyper-spectral, etc.), graphs (social networks, communication networks, etc.) and human interactions via game theory.Recently, he has been interested in developing sparse deepnetworks to extract information and developing intelligence from large data sets. Most of his research is being (and has been) supported by AFOSR, DARPA, NSF, ODNI, ONR, OSD, and others. Peter is a Phi Beta Kappa graduate of Duke University where he was a triple major in computer science, math and electrical engineering. He holdsaPhD in mathematics from MIT. diff --git a/src/data/compiled_bios/4406.txt b/src/data/compiled_bios/4406.txt new file mode 100644 index 0000000000..d47aba5b5c --- /dev/null +++ b/src/data/compiled_bios/4406.txt @@ -0,0 +1 @@ +Mark Crovella is a full Professor and former Chair in the Department of Computer Science at Boston University, where he has been since 1994. He also currently serves as Chief Scientist of Guavus, Inc. During 2003-2004 he was a Visiting Associate Professor at the Laboratoire dInfomatique de Paris VI (LIP6). His research interests center on improving the understanding, design, and performance of networks and networked computer systems, mainly through the application of data mining, statistics, and performance evaluation. He has made contributions to understanding the Internet and World Wide Web, social networks, and biological networks. Professor Crovella is co-author of Internet Measurement: Infrastructure, Traffic, and Applications (Wiley Press, 2006) and is the author of over two hundred papers on networking and computer systems, with over 20,000 citations (Google Scholar). He holds nine patents deriving from his research. Between 2007 and 2009 he was Chair of ACM SIGCOMM. He is co-author of Self-Similarity in World Wide Web Traffic: Evidence and Possible Causes, which received the 2010 ACM SIGMETRICS Test of Time Award, and of Routing State Distance: A Path-Based Metric for Network Analysis, which won a 2013 IETF/IRTF Applied Networking Research Prize. Professor Crovella is a Fellow of the ACM and the IEEE. Anukool Lakhina, Mark Crovella, and Christophe Diot. Diagnosing network-wide traffic anomalies. In Proceedings of SIGCOMM 2004, Pages 219-230. Vijay Erramilli, Mark Crovella, Augustin Chaintreau, and Christophe Diot. Delegation forwarding. In Proceedings of MobiHoc 2008, Pages 251-260. Mengfei Cao, Hao Zhang, Jisoo Park, Noah Daniels, Mark Crovella, Lenore Cowen and Benjamin Hescott. Going the Distance for Protein Function Prediction: A New Distance Metric for Protein Interaction Networks. In: PLOS One, 8(10):e76339, 2013. http://www.cs.bu.edu/~crovella/ diff --git a/src/data/compiled_bios/4407.txt b/src/data/compiled_bios/4407.txt new file mode 100644 index 0000000000..223fbbc253 --- /dev/null +++ b/src/data/compiled_bios/4407.txt @@ -0,0 +1 @@ +Perry Donham has taught at BU for 17 years, starting as an adjunct the Metropolitan College, and recently joined the faculty of CAS/CS as a Lecturer. During that time his coursework has included a variety of graduate and undergraduate courses in computer science (C++ programming, operating systems, networks, OO architecture and design), administrative sciences (marketing, technical project management, and project communications) and leadership studies. At CAS/CS he teaches CS101, Introduction to Computer Science, and CS411, Software Engineering. diff --git a/src/data/compiled_bios/4408.txt b/src/data/compiled_bios/4408.txt new file mode 100644 index 0000000000..39568f966a --- /dev/null +++ b/src/data/compiled_bios/4408.txt @@ -0,0 +1 @@ +Alina Ene is an Assistant Professor in the Computer Science department at Boston University. Her research interests include the design and analysis of algorithms, the mathematical aspects of combinatorial optimization topics such as submodularity and graphs, and their applications to machine learning. Prior to joining BU, she was an Assistant Professor at the University of Warwick, a Faculty Fellow at the Alan Turing Institute for Data Science, and a postdoc in the Center for Computational Intractability at Princeton University. Alina obtained her PhD in Computer Science from the University of Illinois at Urbana-Champaign in 2013 under the supervision of Chandra Chekuri. She graduated with a BSE degree in Computer Science from Princeton University in 2008, with High Honors in Computer Science. A New Framework for Distributed Submodular Maximization (with Rafael Barbosa, Huy Le Nguyen and Justin Ward). In Proceedings of the 57th Annual Symposium on Foundations of Computer Science (FOCS), 2016. Routing under Balance (with Gary Miller, Jakub Pachocki and Aaron Sidford). In Proceedings of the 48th ACM Symposium on Theory of Computing (STOC), 2016. Random Coordinate Descent Methods for Minimizing Decomposable Submodular Functions (with Huy Le Nguyen). In Proceedings of the 32nd International Conference on Machine Learning (ICML), 2015. Approximation Algorithms for Submodular Multiway Partition (with Chandra Chekuri). In Proceedings of the 52nd Annual Symposium on Foundations of Computer Science (FOCS), 2011. http://cs-people.bu.edu/aene/ diff --git a/src/data/compiled_bios/4409.txt b/src/data/compiled_bios/4409.txt new file mode 100644 index 0000000000..caf9304bc1 --- /dev/null +++ b/src/data/compiled_bios/4409.txt @@ -0,0 +1 @@ +As of January 2017 I am a lecturer in computer science at Boston University. I also serve as the Undergraduate Program Director.I am interested in algorithmically challenging problems. I have been working on questions in data mining and combinatorial optimization. Many of the problems I am working on are defined on networks or can be modeled by one. I was a postdoctoral research associate in theRaphael Labat Brown University under the supervision of Ben Raphael. I completed my PhD as a member of theData Management Labat Boston University. I was so fortunate to haveEvimaria Terzias my advisor. I received my MSc degree in pure mathematics from Eotvos University under the supervision ofAndras Frank. I serve as the Undergraduate Program Director in the CS Department; if you have any questions or concerns about your education please contact me! You can reach me via email or duringoffice hours. If you have a question regarding the class you are taking with me, then please come to the office hours listed on the class syllabus. diff --git a/src/data/compiled_bios/441.txt b/src/data/compiled_bios/441.txt new file mode 100644 index 0000000000..fba8559493 --- /dev/null +++ b/src/data/compiled_bios/441.txt @@ -0,0 +1 @@ +Dr. Weichen Liu Home Teaching People Publication Research Service Dr. Weichen Liu Nanyang Assistant Professor School of Computer Science and Engineering Nanyang Technological University Singapore PhD, Hong Kong University of Science and Technology BEng and MEng, Harbin Institute of Technology, China Office: N4-02b-69b Email: liu@ntu.edu.sg put image of email address here Biography Dr. Weichen Liu is a Nanyang Assistant Professor at the School of Computer Science and Engineering, Nanyang Technological University, Singapore. Before that, he was a faculty member at Chongqing University, China. He received his PhD degree from the Hong Kong University of Science and Technology, and the MEng and BEng degrees from Harbin Institute of Technology, China. Dr. Liu served as the chairs, technical program committee members, organizing committee members, and associate editors for over 20 premier international conferences and journals. He authored and co-authored more than 80 research papers in peer-reviewed journals, conferences and books, and received the best paper candidate awards from ASP-DAC 2016, CASES 2015, CODES+ISSS 2009, the best poster paper award from RTCSA 2017 and AMD-TFE 2010, and the most popular poster award from ASP-DAC 2017. His research is supported by the leading industrial partners including Intel, AMD, Xilinx, MediaTek, Huawei and HP. Research Interests Embedded and Real-Time Systems Many-Core Systems Electronic/Photonic Network-on-Chip Computer Architecture Honors & Awards Nanyang Assistant Professorship Award, Nanyang Technological University, Singapore, 2018 A. Richard Newton Young Student Advisor Award, DAC, Austin, USA, 2017 Best Poster Paper Award, RTCSA, Taiwan, 2017 Most Popular Poster Award, SIGDA Student Research Forum at ASPDAC, Japan, 2017 Best Paper Candidate Award (ranked 1st in the track), ASP-DAC, Macau, 2016 Best Paper Candidate Award, CASES, Amsterdam, The Netherlands, 2015 Best Paper Candidate Award, CODES+ISSS, Grenoble, France, 2009 Best Poster Award, AMD Technical Forum and Exhibition (AMD-TFE), Taiwan, 2010 100-Outstanding-Scholar Award, Chongqing University, China, 2013 Chongqing Outstanding Talents, Chongqing Government, China, 2014 MediaTek Inc. & Wu Ta-You Scholar Award, MediaTek Inc., Taiwan, 2005 Dr. Weichen Liu Updates I am looking for self-motivated students who have strong academic background and plan to pursue PhD/Master degree at NTU. Please send me your CV if interested! I am looking for postdoctoral fellows in the broad areas of electronic/photonic network-on-chip, many-core systems, scheduling, and embedded systems. Please feel free to drop me an email if interested! I am looking for exchange PhD students for 6-12 months visiting at NTU. Financial support is possible. Please feel free to drop me an email if interested! Dr. Weichen Liu All Rights Reserved 2019 Dr. Weichen Liu diff --git a/src/data/compiled_bios/4410.txt b/src/data/compiled_bios/4410.txt new file mode 100644 index 0000000000..46eabfdee1 --- /dev/null +++ b/src/data/compiled_bios/4410.txt @@ -0,0 +1 @@ +Before coming to BU, Peter studied in Budapest, worked at the Hungarian Academy of Science with trips to Moscow, obtained a PhD in Frankfurt, did postdoc work at Stanford, and taught in Rochester. Professor Gacs has worked on problems derived from information theory (classical, and algorithmic) and reliable computation. With Ahlswede and Krner wrote some of the earliest papers of multi-user information theory. In algorithmic information theory (Kolmogorov complexity), Gacs also had some part in developing the fundamental results (earlier with Levin, later with Vitnyi and others). In reliable computation, his main contributions are to the probabilistic cellular automaton model: in some sense the most natural one, but mathematically difficult. He has been the principal investigator of several NSF grants, and is an external member of the Hungarian Academy of Sciences. diff --git a/src/data/compiled_bios/4411.txt b/src/data/compiled_bios/4411.txt new file mode 100644 index 0000000000..a523511c52 --- /dev/null +++ b/src/data/compiled_bios/4411.txt @@ -0,0 +1 @@ +Sharon Goldberg is an associate professor in the Computer Science Department at Boston University. Her research uses tools from theory (cryptography, game-theory, algorithms), and networking (measurement, modeling, and simulation) to solve practical problems in network security. She received her Ph.D. from Princeton University in 2009, her B.A.Sc. from the University of Toronto in 2003, has worked as a researcher at IBM, Cisco, and Microsoft, as an engineer at Bell Canada and Hydro One Networks, and has served on working groups of the Federal Communications Commission (FCC) and the Internet Engineering Task Force (IETF). In 2014 she received two IETF/IRTF Applied Networking Research Prizes, an NSF CAREER Award, and a Sloan Research Fellowship. diff --git a/src/data/compiled_bios/4412.txt b/src/data/compiled_bios/4412.txt new file mode 100644 index 0000000000..1641a26901 --- /dev/null +++ b/src/data/compiled_bios/4412.txt @@ -0,0 +1 @@ +Steven Homer received his Ph.D. in mathematics from M.I.T. in 1978. He is a Professor of Computer Science at Boston University where he has been on the faculty since 1982. He served as department chairman for four of those years. At various times he has also served as acting chair, associate chair, graduate director and undergraduate director of the department. He is currently Co-Director of the Center for Reliable Informations Systems and Cyber Security, which he co-founded in 2002. diff --git a/src/data/compiled_bios/4413.txt b/src/data/compiled_bios/4413.txt new file mode 100644 index 0000000000..f3587acc36 --- /dev/null +++ b/src/data/compiled_bios/4413.txt @@ -0,0 +1 @@ +Professor Kfoury is a professor of computer science currently teaching about programming languages and type theory. His current research is in internet programming through theiBench initiatveas well as theChurch Project, which investigates the foundations, design principles and implementation techniques of programming languages. diff --git a/src/data/compiled_bios/4414.txt b/src/data/compiled_bios/4414.txt new file mode 100644 index 0000000000..bb4bc0d3b5 --- /dev/null +++ b/src/data/compiled_bios/4414.txt @@ -0,0 +1 @@ +George Kollios is an Professor in the Computer Science Department at Boston University in Boston, Massachusetts. He received his Diploma in Electrical and Computer Engineering in 1995 from the National Technical University of Athens, Greece; and the M.Sc. and Ph.D. degree in Computer Science from Polytechnic University (NYU-Poly), New York in 1998 and 2000 respectively. His research interests include spatio-temporal indexing and data mining, database security, multimedia indexing, and approximation algorithms for large scale data management problems. He has been and Associate Editor for ACM Transactions of Database Systems and IEEE TKDE and served in a number of program committees for database and data mining conferences. His research has been supported by NSF, including an NSF CAREER Award, and IARPA. He is a member of ACM and IEEE Computer Society. diff --git a/src/data/compiled_bios/4415.txt b/src/data/compiled_bios/4415.txt new file mode 100644 index 0000000000..2f3a58475a --- /dev/null +++ b/src/data/compiled_bios/4415.txt @@ -0,0 +1 @@ +Andrei Lapets, Research Scientist and Director of Research Development at the Institute, works on thedevelopment and management of strategic research initiatives in addition toguiding the Hariri Research Award program. Andrei also oversees theSoftware and Application Innovation Lab (SAIL). Additionally, Andrei leads the Data Mechanics course at BU, offered through thedepartment of computer science.Lapels designed the experiential learning course, which allows students tobuild platforms and applications that work with data sets dealing with aspects of urban environments such as mobility (e.g., walkability), employment, traffic and parking, emissions, energy consumption, public safety, and others. As a commercial software development consultant, Andrei has experience developing systems that employ cloud computing services to deliver content and aggregate data on a large scale, implementing natural language processing algorithms, extending and customizing content management systems to serve as commercial web applications, and designing user interfaces.Hisbroader research interests lie in modeling, assisting, and verifying formal and informal human reasoning, particularly within programming, mathematical modeling, and data analysis contexts. diff --git a/src/data/compiled_bios/4416.txt b/src/data/compiled_bios/4416.txt new file mode 100644 index 0000000000..6f180074a8 --- /dev/null +++ b/src/data/compiled_bios/4416.txt @@ -0,0 +1 @@ +Leonid Levin joined Boston University in 1980. Please refer to his homepage for more information. diff --git a/src/data/compiled_bios/4417.txt b/src/data/compiled_bios/4417.txt new file mode 100644 index 0000000000..639f00edfc --- /dev/null +++ b/src/data/compiled_bios/4417.txt @@ -0,0 +1 @@ +I am an assistant professor at the department of Computer Science at Boston University (BU). I received my Ph.D. from the University of Illinois at Urbana-Champaign (UIUC) in 2017. My research focuses on real-time and embedded systems. I am especially interested in OS-level multi-core resource management technologies for high-performance, safety-critical avionics and automotive systems. I am also interested in applications and methodologies to design, deploy and analyze Cyber-Physical Systems (CPS), and in real-time cloud computing. My research also touches on aspects of security for embedded systems and technologies for UAVs. I am currently looking for motivated master and Ph.D. students who would like to work with me. If you are one those, please contact me! Also, take a look at the full list of ongoing projects on my personal webpage: http://cs-people.bu.edu/rmancuso/. diff --git a/src/data/compiled_bios/4418.txt b/src/data/compiled_bios/4418.txt new file mode 100644 index 0000000000..4e7c291bef --- /dev/null +++ b/src/data/compiled_bios/4418.txt @@ -0,0 +1 @@ +Abraham Matta received his Ph.D. in computer science from the University of Maryland at College Park in 1995. He works on the design of network protocols and architectures based on a range of computer science principles (such as inter-process communication, decomposition, and recursion), mathematical techniques (such as probabilistic analysis, queuing theory, optimization, and control theory), and performance evaluation tools (such as simulation and emulation). Application domains include the Internet, wireless, mobile, sensor, and disruption-tolerant networks, cloud and distributed systems. He has published over 100 peer-reviewed technical papers. He received the National Science Foundation CAREER award (1997). He won a patent (2011) and two best-paper awards (2008 and 2010) on his work on wireless ad hoc and sensor networks. He has served as chair or co-chair of many technical program committees, such as the IEEE Online Conference on Green Communications (2012), IEEE Computer Communications Workshop (2011), and International Conference on Network Protocols (2005). He has served on many organizing committees, including as general chair of the 4th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (2006). He is a senior member of the ACM and IEEE. diff --git a/src/data/compiled_bios/4419.txt b/src/data/compiled_bios/4419.txt new file mode 100644 index 0000000000..da664f8268 --- /dev/null +++ b/src/data/compiled_bios/4419.txt @@ -0,0 +1 @@ +Lorenzo Orecchia is an assistant professor in the Computer Science Department at Boston University. His research focuses on the design and analysis of algorithms that are both theoretically sound and practically applicable. His work leverages mathematical techniques from a broad spectrum of areas to break longstanding computational barriers. Lorenzo received his Ph.D. from UC Berkeley in 2011 and was an Applied Math Instructor at MIT before joining BU. diff --git a/src/data/compiled_bios/442.txt b/src/data/compiled_bios/442.txt new file mode 100644 index 0000000000..f925e5a977 --- /dev/null +++ b/src/data/compiled_bios/442.txt @@ -0,0 +1 @@ +Home Teaching Publications Services Projects Group Members Related Links J U N L U O Associate Professor School of Computer Science and Engineering Nanyang Technological University Block N4-02c-90, Nanyang Avenue Singapore 639798 Phone: +65 6790 4291 Fax: +65 6792 6559 Dr. Jun Luo received his BS and MS degrees of Electrical Engineering from Tsinghua University , Beijing, China in 1997 and 2000, respectively. He obtained his PhD degree of Computer Science from EPFL (Swiss Federal Institute of Technology in Lausanne) in 2006. His PhD dissertation was done under the supervision of Prof. Jean-Pierre Hubaux in the Laboratory for Computer Communications and Applications (LCA) . He later worked as a post-doctoral research fellow in Department of Electrical and Computer Engineering at University of Waterloo for two years (2006-2008), under the supervision of Prof. Catherine Rosenberg . He joined NTU - SCSE as an Assistant Professor in 2008, and he was promoted to Associate Professor in 2014. He served as the Deputy Director of Centre for Multimedia and Network Technology from 2010 to 2013. Brief Bio Research Interests Wireless Networking Mobile and Pervasive Computing Multimedia Protocols and Networking Network Modeling and Performance Evaluation Applied Operations Research Network Security diff --git a/src/data/compiled_bios/4420.txt b/src/data/compiled_bios/4420.txt new file mode 100644 index 0000000000..07bd91d6b5 --- /dev/null +++ b/src/data/compiled_bios/4420.txt @@ -0,0 +1 @@ +Christine joins Boston University (this fall)as a full-time Lecturer in the Department of Computer Science. Christine brings with her ten years of experience teaching undergraduate courses in Computer Science with a specific focus in software engineering. In addition to her teaching duties, Christine also serves as the Director of Masters Studies. Prior to teaching, Christine was a Vice President at a major investment bank in Connecticut. Christine has more than a dozen years of experience as a software engineer building and managing financial trading systems for front office fixed-income trading desks. Christine is a Boston native but has been living in the NYC area since 1985. Christine is very excited to be coming back to Boston and to be teaching for Boston University. Christine holds an undergraduate degree from the School of Management at Boston College; and a masters degree in Computer Science from Fordham University. diff --git a/src/data/compiled_bios/4421.txt b/src/data/compiled_bios/4421.txt new file mode 100644 index 0000000000..a17d76a443 --- /dev/null +++ b/src/data/compiled_bios/4421.txt @@ -0,0 +1 @@ +Sofya Raskhodnikovais a Professor in Computer Science. Previously, Sofya was a Professor of Computer Science and Engineering at Penn State. She received her Ph.D. from MIT. Prior to joining Penn State in 2007, she was a postdoctoral fellow at the Hebrew University of Jerusalem and the Weizmann Institute of Science. She has held visiting positions at the Institute for Pure and Applied Mathematics at UCLA, Boston University, and Harvard University. She is a recipient of the NSF CAREER award. Dr. Raskhodnikova works in the areas of randomized and approximation algorithms. Her main interest is the design and analysis of sublinear-time algorithms for combinatorial problems. She has also made important contributions to data privacy. Personal website:https://cs-people.bu.edu/sofya/ diff --git a/src/data/compiled_bios/4422.txt b/src/data/compiled_bios/4422.txt new file mode 100644 index 0000000000..4575d079b0 --- /dev/null +++ b/src/data/compiled_bios/4422.txt @@ -0,0 +1 @@ +Leo Reyzin works on cryptography, the area of computer science whose broad goal is to enable useful computation, communication, and collaboration in the presence of untrusted parties. He has worked on providing better alternatives for passwords; on providing graceful recovery from stolen keys and side channel attacks; and on helping secure the Internet infrastructure. He received his Ph.D. from MIT. He has contributed to the development of cryptography standards, worked as an industry consultant, and received the National Science Foundations CAREER Award and Boston Universitys Neu Family Award for Excellence in Teaching. diff --git a/src/data/compiled_bios/4423.txt b/src/data/compiled_bios/4423.txt new file mode 100644 index 0000000000..6a885ca868 --- /dev/null +++ b/src/data/compiled_bios/4423.txt @@ -0,0 +1 @@ +Kate Saenko is an Associate Professor at the Department of Computer Science at Boston University, and the director of the Computer Vision and Learning Group and member of the IVC Group. She received her PhD from MIT. Previously, she was an Assistant Professor at the Department of Computer Science at UMass Lowell, a Postdoctoral Researcher at the International Computer Science Institute, a Visiting Scholar at UC Berkeley EECS and a Visiting Postdoctoral Fellow in the School of Engineering and Applied Science at Harvard University. Her research interests are in the broad area of Artificial Intelligence with a focus on Adaptive Machine Learning, Learning for Vision and Language Understanding, and Deep Learning. For a full list of publications please visit Professor Saenkos Google Scholar page. http://ai.bu.edu/ksaenko.html diff --git a/src/data/compiled_bios/4424.txt b/src/data/compiled_bios/4424.txt new file mode 100644 index 0000000000..0b2182e00e --- /dev/null +++ b/src/data/compiled_bios/4424.txt @@ -0,0 +1 @@ +Stan Sclaroff joined the BU Department of Computer Science in 1995 after completing his PhD at MIT. He founded the Image and Video Computing research group at Boston University in 1995. He served as the Chair of the Department from 2007-2013. Stans research interests are in computer vision, pattern recognition, and machine learning. diff --git a/src/data/compiled_bios/4425.txt b/src/data/compiled_bios/4425.txt new file mode 100644 index 0000000000..ed53d28219 --- /dev/null +++ b/src/data/compiled_bios/4425.txt @@ -0,0 +1 @@ +Adam Smith is a Professor of Computer Science and Engineering at Boston University. His research interests lie in data privacy and cryptography, and their connections to machine learning, statistics, information theory, and quantum computing. He obtained his Ph.D. from MIT in 2004 and has held visiting positions at the Weizmann Institute of Science, UCLA, and Harvard. He previously was a Professor of Computer Science and Engineering at Penn State. He received a Presidential Early Career Award for Scientists and Engineers (PECASE) in 2009; a Theory of Cryptography Test of Time award in 2016; and the 2017 Godel Prize. These last two awards were joint with C. Dwork, F. McSherry, and K. Nissim. Link to personal site:http://www.cse.psu.edu/~ads22/ diff --git a/src/data/compiled_bios/4426.txt b/src/data/compiled_bios/4426.txt new file mode 100644 index 0000000000..43240deda6 --- /dev/null +++ b/src/data/compiled_bios/4426.txt @@ -0,0 +1 @@ +Wayne Snyder started teaching at Boston University in 1987, after receiving an MA in Classics from Tufts and a Ph.D. in Computer Science from the University of Pennsylvania. He has taught a wide variety of courses, from computer literacy to advanced graduate seminars, but currently focuses on Introductory Programming, Probability, and Audio Programming. His research efforts have focused on Automated Deduction and Logic, and he is now pursuing interests in Audio Programming and Music Information Retrieval. Professor Snyder has served in a variety of administrative roles, from Undergraduate Director (his current post), Chair, and Associate Dean. He is currently Faculty-In-Residence in Rich Hall in West Campus, and when not engaged in academic duties, enjoys swimming and exercising in the Fitrec Center and playing harmonica in a faculty blues band, Fish Worship. diff --git a/src/data/compiled_bios/4427.txt b/src/data/compiled_bios/4427.txt new file mode 100644 index 0000000000..a4f3fe4053 --- /dev/null +++ b/src/data/compiled_bios/4427.txt @@ -0,0 +1 @@ +Aaron has been a full-time Lecturer in the Department of Computer Science at Boston University since 2004, where he has taught introductory classes for both computer science majors and non-majors. Aarons teaching emphasis has been in teaching computer programming and web application development. In addition, Aaron developed and taught a class in personal life-cycle economics that ran from 2009-2013, and currently teaches a class in mathematical modeling for personal finance in the Department of Mathematics. diff --git a/src/data/compiled_bios/4428.txt b/src/data/compiled_bios/4428.txt new file mode 100644 index 0000000000..c75cf87031 --- /dev/null +++ b/src/data/compiled_bios/4428.txt @@ -0,0 +1 @@ +Alley Stoughton is a Research Professor in the Department of Computer Science at Boston University, as well as a Visiting Fellow at BUs Hariri Institute for Computing and Computational Science & Engineering. She has a background in programming language semantics, having received her doctorate in computer science from the University of Edinburgh in 1987. Her current research focus is on the application of formal methods to security. Current projects include: https://alleystoughton.us/ diff --git a/src/data/compiled_bios/4429.txt b/src/data/compiled_bios/4429.txt new file mode 100644 index 0000000000..af097f2e0f --- /dev/null +++ b/src/data/compiled_bios/4429.txt @@ -0,0 +1 @@ + Dave Sullivan grew up in the Boston area, and he was an undergraduate physics concentrator at Harvard. After graduation, he taught physics and math at the secondary-school level for six years before returning to graduate school. Dr. Sullivan received both his masters and doctoral degrees in computer science from Harvards School of Engineering and Applied Sciences. In his doctoral thesis, he developed a methodology for using probabilistic-reasoning techniques to automate software tuning. diff --git a/src/data/compiled_bios/443.txt b/src/data/compiled_bios/443.txt new file mode 100644 index 0000000000..d226b21c18 --- /dev/null +++ b/src/data/compiled_bios/443.txt @@ -0,0 +1 @@ +-> | Home | NTU | SCE | Library | CHIPES | MSc(ES) | Stafflink | NTULearn | SCE Portal | SCE GSIS Doug's Home Contact Teaching Research Publications Other Disclaimer Nanyang Technological University School of Computer Engineering Dr Douglas Maskell Associate Professor Ph.D., M.Eng.Sc., B.E.(Hons), GCTT, SMIEEE Maintained by asdouglas@ntu.edu.sg Copyright all rights reserved Doug Maskell at Nanyang Technological University. Last modified: Wed Jan 7 13:45:03 2015 by p2002.pl on sce-Douglas1 diff --git a/src/data/compiled_bios/4430.txt b/src/data/compiled_bios/4430.txt new file mode 100644 index 0000000000..12109aee94 --- /dev/null +++ b/src/data/compiled_bios/4430.txt @@ -0,0 +1 @@ +At BU I am a member of the Data Management Lab@BU. My research interests are in the area of algorithmic data mining with emphasis on (social) network analysis, recommendation systems, ranking and clustering. From 2007 to 2009, I was a Research Staff Member at IBM Almaden Research Center. Until 2007, I was with Helsinki Institute for Information Technology (HIIT). In December 2006, I defended this. I was fortunate to have Heikki Mannila as my advisor. diff --git a/src/data/compiled_bios/4431.txt b/src/data/compiled_bios/4431.txt new file mode 100644 index 0000000000..254e6dcca4 --- /dev/null +++ b/src/data/compiled_bios/4431.txt @@ -0,0 +1 @@ +Dr. Charalampos Tsourakakis received his Ph.D. from the Algorithms, Combinatorics and Optimization (ACO) program at Carnegie Mellon University, and served as a Postdoctoral Fellow in Harvard University. He holds a Diploma in Electrical and Diploma Engineering from the National Technical University of Athens and a Master of Science from the Machine Learning Department at Carnegie Mellon University.Before joining Boston University, he worked as a researcher in the Google Brain team. He won a best paper award in IEEE Data Mining, has delivered three tutorials in the ACM SIGKDD Conference on Knowledge Discovery and Data Mining, and has designed two graph mining libraries for large-scale graph mining, one of which has been officially included in Windows Azure. His researchfocuses on large-scale graph mining, and machine learning. https://tsourakakis.com/ diff --git a/src/data/compiled_bios/4432.txt b/src/data/compiled_bios/4432.txt new file mode 100644 index 0000000000..804e875d24 --- /dev/null +++ b/src/data/compiled_bios/4432.txt @@ -0,0 +1 @@ +Mayank Varia, Research Associate Professor and Co-Director for the RISCS Center, leads theNSF Frontier MACSproject. Prior to joining BU, he worked for four years at MIT Lincoln Laboratory. At MIT Lincoln Lab, he designed and evaluated high performance privacy-enhancing data search technology, created information theoretic metrics to quantify privacy, and developed algorithms to capture linguistic provenance automatically. diff --git a/src/data/compiled_bios/4433.txt b/src/data/compiled_bios/4433.txt new file mode 100644 index 0000000000..acacb440b7 --- /dev/null +++ b/src/data/compiled_bios/4433.txt @@ -0,0 +1 @@ +Rich West joined the BU Department of Computer Science in 2000 after completing his PhD at Georgia Tech. Rich is a tinkerer of systems, notably, but not limited to, those in embedded and real-time computing. He likes to take a principled approach to system design, having dabbled in the development of standalone kernels and resource management policies where safety and predictability are paramount. He has studied real-time scheduling and resource management, cache-aware performance of multicore processors, and machine virtualization, amongst other topics. He is currently leading the development of the Quest real-time operating system for multicore processors. Its sister system, Quest-V is a secure and predictable separation kernel that forms a distributed system on a chip, providing efficient, predictable and safe execution of sandboxed guest systems including Linux. diff --git a/src/data/compiled_bios/4434.txt b/src/data/compiled_bios/4434.txt new file mode 100644 index 0000000000..44535dcf4a --- /dev/null +++ b/src/data/compiled_bios/4434.txt @@ -0,0 +1 @@ +Emily Whiting is an Assistant Professor of Computer Science at Boston Universityand Director of theShape Lab. She conducts research in computer graphics with a focus on topics in computational fabrication, architectural geometry, and computer aided design. She has a PhD from MIT (2012), MS in Design & Computation from MIT (2006), and BASc in Engineering Science from the University of Toronto (2004). Previously Emily was an Assistant Professor at Dartmouth College and a Marie Curie Postdoctoral Fellow at ETH Zurich. She has worked in R&D at Lucasfilm Industrial Light & Magic and as a researcher at the National Research Council of Canada. Her work has been featured on TEDx and PBS NOVA. She is the recipient of the Boston University Innovation Career Development Professorship. http://cs-people.bu.edu/whiting/ E. Whiting, N. Ouf, L. Makatura, C. Mousas, Z. Shu and L. Kavan. Environment-Scale Fabrication: Replicating Outdoor Climbing Experiences. ACM CHI Conference on Human Factors in Computing Systems, 2017. N. Umetani, A. Panotopoulou, R. Schmidt and E. Whiting. Printone: Interactive Resonance Simulation for Free-form Print-wind Instrument Design. ACM Transactions on Graphics (SIGGRAPH Asia), 2016. X. Zhang, X. Le, A. Panotopoulou, E. Whiting and C.C.L. Wang. Perceptual Models of Preference in 3D Printing Direction. ACM Transactions on Graphics (SIGGRAPH Asia), 2015. M. Deuss, D. Panozzo, E. Whiting, Y. Liu, P. Block, O. Sorkine-Hornung and M. Pauly. Assembling Self-Supporting Structures. ACM Transactions on Graphics (SIGGRAPH Asia), 2014. M. Bcher, E. Whiting, B. Bickel and O. Sorkine-Hornung. Spin-It: Optimizing Moment of Inertia for Spinnable Objects. ACM Transactions on Graphics (SIGGRAPH), 2014. diff --git a/src/data/compiled_bios/4435.txt b/src/data/compiled_bios/4435.txt new file mode 100644 index 0000000000..932bc13d79 --- /dev/null +++ b/src/data/compiled_bios/4435.txt @@ -0,0 +1 @@ +Derry is an Assistant Professor at the Department of Computer Science. She conducts research in natural language processing and knowledge bases, with a focus on machine learning and deep learning applications on these research areas. Her studies include machine translation, which demonstrates how to leverage well-annotated languages to improve the translation of less-annotated ones. She also studies methods for automatically learning the meanings of verbs and extracting information for knowledge base population through analysis of diverse information sources. Prior to joining BU, she conducted postdoctoral research at the University of Pennsylvania. She has a PhD from Carnegie Mellon University and received her Bachelor and Masters Degrees in Computer Science from the National University of Singapore. Website: http://dwijaya.org/ View all profiles diff --git a/src/data/compiled_bios/4436.txt b/src/data/compiled_bios/4436.txt new file mode 100644 index 0000000000..74918afa81 --- /dev/null +++ b/src/data/compiled_bios/4436.txt @@ -0,0 +1 @@ +Hongwei Xi received his Ph.D. degree in the field of Pure and Applied Logic from Carnegie Mellon University (CMU), Pittsburgh, PA, 1998. He joined the Computer Science Department at Boston University in October 2001, and is currently an Associate Professor of Computer Science. Dr. Xis research primarily focuses on applying advanced type theory to modern programming language design and implementation. He is the principal designer and implementor of the ATS programming language, which aims to facilitate the construction of safe and reliable software by advocating a programming paradigm that combines programming with theorem proving. Dr. Xi has done a large body of pioneering work on supporting dependent types and linear types for practical programming. He also served on the program committees of several prestigious ACM conferences on programming languages (e.g., POPL, PLDI and ICFP). Zhiqiang Ren and Hongwei Xi. A Programmer-Centric Approach to Program Verification in ATS. Automated Reasoning in Security and Software Verification (a workshop with CADE24), Lake Placid, New York, June 9, 2013. Rui Shi and Hongwei Xi. A Linear Type System for Multicore Programming, Science of Computer Programming. 2012. Rui Shi, Dengping Zhu, and Hongwei Xi. A Modality for Safe Resource Sharing and Code Reentrancy. In Proceedings of International Colloquium on Theoretical Aspects of Computing (ICTAC10). LNCS 6255, pp. 382-396, Natal, Brazil, September 1-3, 2010. diff --git a/src/data/compiled_bios/4437.txt b/src/data/compiled_bios/4437.txt new file mode 100644 index 0000000000..f0039dd0fd --- /dev/null +++ b/src/data/compiled_bios/4437.txt @@ -0,0 +1 @@ +Manuel is an Assistant Professorwith the Department of Electrical and Computer Engineering. His areas of interest includeSoftware Security, Web Security, andSecurity & Privacy on Mobile Systems and Online Social Networks. diff --git a/src/data/compiled_bios/4438.txt b/src/data/compiled_bios/4438.txt new file mode 100644 index 0000000000..af6e35847a --- /dev/null +++ b/src/data/compiled_bios/4438.txt @@ -0,0 +1 @@ +Dr. Lei Guo earned her PhD from the University of Texas at Austin in 2014. Her research focuses on the development of media effects theories, emerging media technologies and democracy, and international communication. She and Dr. Maxwell McCombs proposed the third level of agenda-setting theorythe Network Agenda-Setting Model, and tested the model in various settings using computer-assisted text analysis methods such as semantic network analysis, sentiment analysis and data visualization. Her studies, both quantitative and qualitative, have been published in a number of leading peer-reviewed journals such as Journal of Communication, Journalism Studies, Journal of Broadcasting & Electronic Media, Critical Studies in Media Communication, Journal of Computer-Mediated Communication, and International Communication Gazette. Dr. Guo has also been invited to write book chapters about journalism and communication in the United States and China. Her recent work includes co-editing a book The Power of Information Networks: New Directions for Agenda Setting, published by Routledge. diff --git a/src/data/compiled_bios/4439.txt b/src/data/compiled_bios/4439.txt new file mode 100644 index 0000000000..f158208b5d --- /dev/null +++ b/src/data/compiled_bios/4439.txt @@ -0,0 +1 @@ +Prakash Ishwar is a Professor in the Department of Electrical and Computer Engineering and a Faculty Affiliate with the Department of Computer Science. His areas of research include Machine Learning, Statistical Signal Processing, Visual Information Processing & Analysis, Information Theory, and Network Science. Personal webpage http://sites.bu.edu/pi diff --git a/src/data/compiled_bios/444.txt b/src/data/compiled_bios/444.txt new file mode 100644 index 0000000000..42b50e8f09 --- /dev/null +++ b/src/data/compiled_bios/444.txt @@ -0,0 +1 @@ +Miao Chun Yan Nanyang Technological University Home Research Teaching Appointments Services Student Supervision Publications Awards Contact Copyright2015 All right received. Home Biography Dr. Chunyan Miao has been an Assistant/Associate Professor in the School of Computer Engineering (SCE) at Nanyang Technological University (NTU) since 2003. She was a founding faculty member and Associate Professor at the Centre for Digital Media (CDM) which was jointly established by The University of British Columbia (UBC), Simon Fraser University (SFU) and Electronic Arts (EA) USA (a leading game company). Dr. Miao is currently serving as the Founding Director of the Joint NTU-UBC Research Centre of Excellence in Active Living for the Elderly (LILY). LILY was set up in 2012 with a large research grant of S$26 Million awarded to Dr. Miao by the National Research Foundation (NRF) Singapore, NTU, UBC and industry partners. LILY is one of the first research centers focused on Artificial Intelligence (AI) technologies for help the elderly lead an active, healthy and dignified lifestyle. For the past two decades, Dr. Miao has worked on new disruptive Artificial intelligence (AI) approaches and theories that synergize human intelligence, artificial intelligence and behavior data analytics (AI powered by humans). AI is experiencing a renaissance, having recently undergone a dramatic shift from trying to invent intelligent machines towards harnessing the power of the human brain to tackle problems that cannot be solved by computers alone (AI powered by many humans). Since 2003, Dr. Miao has received over $50 Million in research funding. She has successfully led over ten large national research projects in AI, intelligent interactive digital media, smart health, personal big data analytics and aging in place technologies. Results from Dr. Miaos basic AI research have been used in important application areas such as technologies for graceful aging, healthy living and innovative learning. Specific high-impact real world examples include Parkinsons disease predictive analytics, Stroke detection and rehabilitation, Citizen science for helping Dementia patients and 21st century learning behavior analytics and assessment in massive multiuser virtual worlds. Dr. Miao is the recipient of 8 Best Conference Paper/Presentation Awards and over 20 Research Awards including awards from the top AI conferences. She has published over 200 journal and conference papers in top-tier venues. She currently serves as Editor-in-Chief of the International Journal of Information Technology and the new International Journal of Crowd Science. She is also Editor/Associate Editor of IEEE ACCESS, IEEE Journal of Internet of Things, and Web Intelligence Journal. She has served as General Chair/Program Committee Chair for several international conferences and is a frequent keynote and invited speaker at leading conferences, universities and research organizations worldwide. Dr. Miao received a PhD degree in Computer Engineering from NTU, and was an NSERC Postdoctoral Fellow at SFU in Canada. She was awarded a Tan Chin Tuan Fellowship for a collaborative research program in AI empowered new learning technologies at Harvard University and MIT. She has been a Visiting Professor in the Multi-agent Lab, a well-known AI research centre at the University of Massachusetts, Amherst. Prior to her appointment as LILY Director, Dr. Miao was a founding member/Director of the Emerging Research Lab (2004-2012) at NTU. She has supervised/co-supervised over 30 graduate students at NTU, UBC and SFU Canada. She has graduated 12 PhD students and mentored 11 postdoctoral fellows, all in the area of Artificial Intelligence. Many of them are now award-winning researchers in top academic institutions and companies. Dr. Miao is the recipient of the 2010 SCE Most Popular Lecturer Award and a teaching excellence grant from the Ministry of Education in 2012. In 2015, she was conferred two Koh Boon Hwee Inspirational Mentorship Recognition awards by the President of Singapore. Academic Qualifications 2001-2003 Postdoctoral Fellow, School of Computing Science, Simon Fraser University, Canada. 1998-2001 Ph.D (Computer Engineering), School of Computer Engineering, Nanyang Technological University, Singapore. 1996-1998 M.Eng. (Computer Engineering), School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore. 1984-1988 B.S. (Computer Science), Shandong University, China (Top 1% of the class). Research Interests The focus of my research has been on innovative disruptive AI approaches and methods that synergize human intelligence, artificial intelligence and behaviour data analytics, namely human enriched AI . Results from my basic research have been used in important application areas such as technologies for ageless aging, healthy living and innovative learning . Research Statement I am working on new disruptive Artificial Intelligence (AI) approaches that synergize human intelligence, artificial intelligence and behavior data analytics (AI powered by humans). AI powered by humans Artificial intelligence (AI) as a field has recently undergone a dramatic shift from trying to build intelligent machines towards harnessing the power of human computation to tackle problems that cannot be solved by computers alone. A notable example of such approaches is Gmails reCAPTCHA system which asks users to recognize alphanumeric characters written in non-standard fonts and styles. Since this task is easy for humans but very challenging for machines, it provides an elegant way for distinguishing between machines and humans as well as engaging the assistance of humans for digitizing old manuscripts. I have pioneered a new research field in AI for crowdsourcing Algorithmic Crowdsourcing for efficient mass mobilization to help with computational tasks that are too challenging for todays computing machines. I have proposed a series of real-time algorithms for efficient large-scale social engagement by combining game theory with network queuing theory. I have proposed new models in Personal AI to endow traditional intelligent software agents with human traits such as teachability, persuasion, trust and curiosity. My work on new disruptive AI e.g. Crowd AI and Personal AI has garnered awards at the top AI conferences IJCAI, AAAI, AAMAS & IAT. An example (Personal AI) application deriving from my research is the use of a digital form of the well-known Trail Making Test (TMT) for stroke detection. A traditional TMT, conducted using paper and pencil, requires the assistance of medical professionals. This limits its use by a large population of users for screening purposes. Through user-friendly TMT-based games running on smart phones and pads, it becomes feasible to collect health data from millions of users. From the data, user behavior patterns can be analyzed by using AI methods, enhanced by human experts (AI powered by humans) when needed. This work has been accepted for publication in the journal Science . A second example (Crowd AI) application of my research which was reported in the Feb 10, 2016 edition of the New Scientist ( https://www.newscientist.com/article/2076775-our-photo-uploads-give-scientists-billions-of-eyes-on-the-world/ ) is AirTick , a smart phone App which uses a combination of crowdsourcing and machine learning to estimate pollution levels based on pictures taken by the phone. AirTick allows anyone with a smart phone to get real-time estimates of the ambient air quality. Reports gathered from many individuals at many different locations provide a rich source of data which can be analyzed to implement cost-effective measures for combatting air pollution. Professor Thomas Dietterich, President of TheAssociation for the Advancement of Artificial Intelligence(AAAI) commented on my research work at AAAI 2016: Prof Miaos research in humanized AI imparting human qualities such as trust, curiosity and persuasion into intelligent agents could help establish more healthy relationships between humans and AI. He further commented that Crowd AI research led by Prof Miao at LIlY is very novel. Her work in applying AI technologies to solve population aging challenges is the only work of its kind that I know of. Our methods have been used by top tech companies such as Apple (Research Kit), Baidu (Crowdsourcing platform), Taobao (recommendation), health care organizations such as TTS hospital and Pacific Parkinson research centre and numerous elderly communities. In the last 5 years, I have added to NTUs research profile with over 120 peer-reviewed research publications, including 33 journal papers, 91 conference papers, 2 book chapters, 1 edited book and 13 technology disclosure/patents filed. My current research works have received a total citation count (H-index) of 2827 (28) on Google Scholar, 1241 (17) on Scopus, and 1560 (19) on Web of Science. Over these years, I am honoured to have been invited by international colleagues as keynote speaker and invited speaker at international conferences and workshops, and at international research institutions, universities and multi-national companies, to discuss the latest advances in Artificial Intelligence, Human Computation, Data Analytics and Digital Media for 27 times in total. Impactful examples of my research which exploit the combined power of AI, human wisdom and data analytics include: 1) Virtual Singapura which provides an agent augmented immersive learning environment to support active learning for a large number of learners through online learning behavior trajectory big data analytics. Virtual Singapura is being used by high schools in several countries. 2) Intelligent Ageing in Place platforms with unobtrusive sensing and multidimensional behavior data analytics for assessing the wellness of the occupant(s), and novel personal AI digital assistants for active independent living and a dignified lifestyle. 3) Age-friendly AI empowered games for health and wellness, e.g. screening and rehabilitation games for stroke and neurodegenerative diseases such as Parkinsons and dementia. In these games, data are continuously collected and analyzed to provide health professionals with insights into the conditions of their patients. My paper Using motor patterns for stroke detection has been accepted for publication by Science . My interactive digital games for screening for strokes and Parkinsons disease will be made available to more than 800 million Apple users around the world through the Apple Research Kit. This will enable a massive scale study on the behaviour trajectory and patterns of stroke and Parkinsons patients. I have published over 200 papers in top-tier international AI conferences and ACM/IEEE journals, and am one of top cited researchers in Cognitive Map theory, Human Agent Interaction and Algorithmic Crowdsourcing. diff --git a/src/data/compiled_bios/4440.txt b/src/data/compiled_bios/4440.txt new file mode 100644 index 0000000000..eb5067036e --- /dev/null +++ b/src/data/compiled_bios/4440.txt @@ -0,0 +1 @@ +Prof. Kasif is a co-founder of the Center for Advanced Genomic Technology (CAGT) with Charles DeLisi, co-founder ofCOMBREX: COMPUTATIONAL BRIDGES TO EXPERIMENTS PROJECTwith Rich Roberts and Martin Steffen, combrex.bu.edu), and a member of theI2B2 Center (Informatics for Integrating Biology and Bedside). He was a participant in the Human Genome Consortium that produced the first public draft of the human genome. His contributions to Computational Biology include the co-development of Glimmer, one of the most widely used gene finders in the community (with Steven Salzberg and Art Delcher), Mummer, the first whole genome comparative alignment system (with Salzberg and Delcher), early advocacy of the use of Bayesian probabilistic networks (graphical models) in Computational Biology (1992), introduction of probabilistic functional linkage networks for gene function prediction , (with Stan Letovsky), and an early deployment of network signatures of disease (with Zak Kohane and Manway Liu) for diabetes as part of I2B2 activities. diff --git a/src/data/compiled_bios/4441.txt b/src/data/compiled_bios/4441.txt new file mode 100644 index 0000000000..69a427c23f --- /dev/null +++ b/src/data/compiled_bios/4441.txt @@ -0,0 +1 @@ +Orran Krieger is the lead on the Massachusetts Open Cloud, Founding Director for the Cloud Computing Initiative (CCI) at BU, Resident Fellow of the Hariri Institute for Computing and Computational Science &Engineering, and a Professor of the practice at the Department of Electrical and Computer Engineering Boston University. Before coming to BU, he spent five years at VMware starting and working on vCloud. Prior to that he was aresearcher and manager at IBM T. J. Watson, leading the Advanced Operating System Research Department. Orran did his PhD and MASc in Electrical Engineering at the University of Toronto. diff --git a/src/data/compiled_bios/4442.txt b/src/data/compiled_bios/4442.txt new file mode 100644 index 0000000000..4829100248 --- /dev/null +++ b/src/data/compiled_bios/4442.txt @@ -0,0 +1 @@ +I am an associate professor in the Department of Electrical and Computer Engineering and the Department of Computer Science at Boston University. I am also a core member of the Division of Systems Engineering. From 2012-2015 I was an assistant professor in the Department of Computer Science and Engineering and the Department of Statistics at Ohio State University. Google Scholar page http://people.bu.edu/bkulis/ diff --git a/src/data/compiled_bios/4443.txt b/src/data/compiled_bios/4443.txt new file mode 100644 index 0000000000..6fca2ac98c --- /dev/null +++ b/src/data/compiled_bios/4443.txt @@ -0,0 +1 @@ +Wenchao Li is an Assistant Professor in the Department of Electrical and Computer Engineering at Boston University and directs the Dependable Computing Laboratory. Prior to joining BU, he was a Computer Scientist in the Computer Science Laboratory at SRI International, Menlo Park. He received a B.S., M.S. and Ph.D. inElectrical Engineering and Computer Sciences and a B.A. in Economics from theUniversity of California, Berkeley. His research interests are in dependable computing, with a current focus on applying computational proof methods and machine learning techniques to problems in cyber-physical systems, electronic design automation, and A.I. safety. His awards include theACM Outstanding Ph.D. Dissertation Award in Electronic Design Automation and the Leon O. Chua Award for outstanding achievement in nonlinear science. diff --git a/src/data/compiled_bios/4444.txt b/src/data/compiled_bios/4444.txt new file mode 100644 index 0000000000..ea3800e3cc --- /dev/null +++ b/src/data/compiled_bios/4444.txt @@ -0,0 +1 @@ +Francesco Orabona joined Boston University in 2018. Previously, he wasan Assistant Professor at Stony Brook University. His background covers both theoretical and practical aspects of machine learning and optimization. His current research interests lie in online learning, and more generally the problem of designing and analyzing adaptive and parameter-free learning algorithms. He received a PhD in Electrical Engineering at the University of Genoa, in 2007. He is the (co)author of more than 60 peer reviewed papers. A complete list of Professor Orabonas publications are available on his Google Scholar page. For more information on his work please visit his personal website http://francesco.orabona.com/. diff --git a/src/data/compiled_bios/4445.txt b/src/data/compiled_bios/4445.txt new file mode 100644 index 0000000000..183203a5da --- /dev/null +++ b/src/data/compiled_bios/4445.txt @@ -0,0 +1 @@ +Venkatesh Saligrama is a Professor with the Department of Electrical and Computer Engineering. His areas of interest includeMachine Learning,Video Analysis,Statistical Signal Processing,Information & Control Theory, andNetwork Science. diff --git a/src/data/compiled_bios/4446.txt b/src/data/compiled_bios/4446.txt new file mode 100644 index 0000000000..db93f9b029 --- /dev/null +++ b/src/data/compiled_bios/4446.txt @@ -0,0 +1 @@ +David is a Professor with the Department of Electrical and Computer Engineering. His areas of interest includeModeling and Performance Analysis of Communication Networks,Wireless Networking,Network Economics, andCyber-Security. diff --git a/src/data/compiled_bios/4447.txt b/src/data/compiled_bios/4447.txt new file mode 100644 index 0000000000..b28cfd86c7 --- /dev/null +++ b/src/data/compiled_bios/4447.txt @@ -0,0 +1 @@ +Gianluca Stringhini is an Assistant Professor in the Department of Electrical and Computer Engineering at Boston University. In his research he applies a data-driven approach to better understand malicious activity on the Internet. Through the collection and analysis of large-scale datasets, he develops novel and robust mitigation techniques to make the Internet a safer place. His research involves a mix of quantitative analysis, (some) qualitative analysis, machine learning, crime science, and systems design. As examples, recently he has been investigating the spread of alternative news and memes on online social networks, raids organized by trolls against other Internet users, cyberbullying, ransomware, online dating scams, money laundering schemes linked to cybercrime, malware delivery networks, and online social network compromises. Gianluca was awarded a Facebook Secure the Internet Grant in 2018, a Google Faculty Research Award in 2015, the Symantec Research Labs Fellowship in 2012, and the multiple best paper awards. He published in top security conferences such as CCS, NDSS, and USENIX Security, as well as top measurement and web conferences such as IMC, WWW, and ICWSM. https://seclab.bu.edu/people/gianluca/ diff --git a/src/data/compiled_bios/4448.txt b/src/data/compiled_bios/4448.txt new file mode 100644 index 0000000000..61c5149fdb --- /dev/null +++ b/src/data/compiled_bios/4448.txt @@ -0,0 +1 @@ +Dr. Tractenberg is a Professor at Boston Universitys College of Engineering, Department of Electrical and Computer Engineering (ECE). He received his PhD in Computer Science (2000) and M.S. in Computer Science (1996) at University of Illinois at Urbana-Champaign (UIUC), and his S.B. in Mathematics with Computer Science (1994) at Massachusetts Institute of Technology (MIT). Dr. Trachtenberg has been involved with Ben Gurion University (Distinguished Scientist Visitor, 2016), TripAdvisor (2016), MIT Lincoln Lab (2015), and the Technion (Visiting Professor, 2014). He received the Excellence in Teaching Award from the department of Electrical and Computer Engineering (2013, 2003), a National Science Foundation CAREER Award (2002) and the UIUC Kuck Outstanding Thesis Award (2000). Visit Ari Trachtenbergspersonal web pageand ENG-ECE Facultypage for more information on his research interests. EK131/132: Hacking EC327 Introduction to Software Engineering EC330 Applied Algorithms for Engineers EC504 Advanced Data Structures EC521 Cybersecurity EC700 Advanced Special Topics EC727 Advanced Coding Theory diff --git a/src/data/compiled_bios/4449.txt b/src/data/compiled_bios/4449.txt new file mode 100644 index 0000000000..ec841379d1 --- /dev/null +++ b/src/data/compiled_bios/4449.txt @@ -0,0 +1 @@ +I am an Assistant Professor of Marketing at Boston University Questrom School of Business and a Junior Faculty Fellow of the Hariri Institute. Previously, I was a Simons Postdoctoral Fellow at Yale University working with Joan Feigenbaum, and an Affiliate at the Center for Research on Computation and Society (CRCS) at Harvard University. I completed my PhD in 2011 in Computer Science at Boston University under the supervision of John Byers and Michael Mitzenmacher (from Harvard). I am broadly interested in problems lying in the intersection of marketing, computer science, and economics, and a lot of my work has focused on large scale empirical studies of internet markets. diff --git a/src/data/compiled_bios/445.txt b/src/data/compiled_bios/445.txt new file mode 100644 index 0000000000..d36c21d92b --- /dev/null +++ b/src/data/compiled_bios/445.txt @@ -0,0 +1 @@ +Home Data Security / Blockchain Privacy Protection Machine Learning / AI Contact Me Hi, welcome to my site. About Me, Briefly Dr. W. K. NG works in machine learning, privacy-preserving techniques, query-permissible encrypted databases, enterprise blockchain systems, data security, and blockchain security. His work is motivated by the need to harness the power of data for the betterment of stakeholders, where the data has confidentiality and privacy issues; where the data may be owned and held by different stakeholders, and where the data is so large that it must be hosted in cloud servers that are never completely secured (susceptible to insider and cyber attacks). He contributes to companies and industries as technology consultant on projects involving data analytics, artificial intelligence, data privacy and security, and blockchain. In recent years, his involvement in conferences and workshop can be found here . His work is supported by various research grants, which can be found here . He is Associate Editor and Member of Editorial Boards of five journals. Over the years, he has worked with many talented students on their PhD and Master theses. Dr. Ng writes for online magazines and newspapers and contributes to social causes. "A man's character may be learned from the adjectives which he habitually uses in conversation." - Mark Twain Current Research and Industry-inspired Projects Enterprise Blockchain Systems : Current blockchain systems are not built for enterprise use. Reasons are poor performance, security and vulnerability issues, and the lack of facilities to support enterprise data processing, data analysis and reporting, and data compliance needs. This research looks into the fundamental re-design of blockchain for high transaction throughput, confidentiality and privacy guarantees, the structure of multi-chains, fast consensus algorithms, block compression and archival, blockchain migration, multi-chain connectors, etc. to address enterprise needs for blockchains. We investigate hybrid blockchains - public-private mix of ownership, token and token-less mix of blockchain operations, etc. To support data privacy and advanced data needs, we study the integration of secure multiparty computation with blockchain. Blockchain-based Data Protection Platform for Digital Manufacturing Services : We build one of the the worlds first Digital Manufacturing Services (DMS) platform based on Blockchain technology to create digital thread for data protection. As blockchain technology enables transparency in all processes, it will drive the desired behaviour of all parties in the value chain. The data protection framework prevents data theft and data tampering in the 3D printing process. The framework connects designers to Additive Manufacturing Centres (AMC) to simplify the 3D product manufacturing process; secures designers data and ensures high quality output. Users are able to place order for 3D printing of parts anytime, anywhere through this framework. This is attractive to large companies managing 10,000s of SKUs and complex global supply chains who want to deploy 3DP, but many not have the infrastructure. We hope to fill the gaps in the 3D printing industry to accelerate industry adoption, making 3D Printing as simple as printing a document from a desktop computer. Privacy Preserving Data Analytics : To realize the full potential of a smart city, one must harness the massive volume of data that have been (and are still being) generated and accumulated in all work and living aspects of the city. A major obstacle in this regard is data privacy; the need to protect Personally Identifiable Information (PII). This research create techniques and systems to address data privacy issues: (1) The need to aggregate data about people from multiple public/private sources for collective data analysis or the application of artificial intelligence techniques without violating privacy; (2) The need to analyze different types of data: numerals, texts, documents, images, etc., which contain sensitive or personal information; (3) The need to understand and manage the data leakage risk of aggregating and analyzing personal data. Deep Learning/Machine Learning Approach to Threat Alert Triage and Risk Modeling There are many indicators of threat in Know-Your-Clients (KYC) processing, from information systems in use to surveillance inputs to open source intelligence to threat typologies. We want to determine the probability of threat (dependent variable) with respect to the linear or non-linear relationships with the many diverse predictor variables (independent variables). This must be done in a real-time continuous manner as KYC is dynamic, including multi-hypothesis tracking. The nature of the relationship among the variables might change with the progression of the time and new types of variables can come into existence that may be proved useful for better prediction accuracy. We use DL/ML approaches to assist financial institutions in triaging KYC threat alerts (with probability and explainable typologies) and to assess risks. With sufficient data, we are can infer new indicators of threats and new typologies. Computational Air Mobility : The desire to have air mobility creates a host of computational problems. What is the revenue model for infrastructural air mobility? What is the trade-off between utility provision and safety? What is the relationship between the mobility structure and routing algorithms? For fleet owners, how many aerial vehicles should they own to sustain a profitable operation? What is the pros and cons of having fixed flight schedules versus free flight? We formulate each of these issues as an optimization or constraint satisfaction problem and investigate solution techniques to solve the problems. We also build a multi-agent modeling and simulation system to support empirical investigations. "Nearly all men can stand adversity, but if you want to test a man's character, give him power." - Abraham Lincoln Data Security / Blockchain H. G. Do, W. K. Ng, "Multi-dimensional Range Query on Outsourced Database with Strong Privacy Guarantee," International Journal of Computer Network and Information Security (IJCNIS), Vol. 9, No. 10, Oct 2017. N. A. Huynh, W. K. Ng, "Predicting Risk Level of Executables: an Application of Online Learning," 20th International Conference on Discovery Science (DS'17), Kyoto, Japan, Oct 15-17, 2017. V. Sidorov, W. K. Ng, M. Faisal, K. Y. Lam, "Cyber-Threat Analysis of a UAV Traffic Management System for Urban Airspace," ATRS World Conference 2017, Antwerp, Belgium, Jul 2017. H. G. Do, W. K. Ng, "Blockchain-based System for Secure Data Storage with Private Keyword Search," IEEE World Congress on Services, Honolulu, HI, USA, Jun 2017. V. Sidorov, W. K. Ng, M. Faisal, K. Y. Lam, "Implications of Cyber Threats for the Design of Unmanned Air Traffic Management System Presentation format," 2017 International Conference on Unmanned Aircraft Systems (ICUAS'17), Miami, Florida, USA, Jun 13-16, 2017. H. G. Do, W. K. Ng, "Multidimensional Range Query on Outsourced Database with Strong Privacy Guarantee," 14th International Conference on Privacy, Security and Trust, pp. 555-560, Auckland, New Zealand, Dec 2016. T. N. Ho, W. K. Ng, "Application of Stylometry to DarkWeb Forum User Identification," 18th International Conference Information and Communications Security (ICICS'16), Singapore, Nov 2016. H. G. Do, W. K. Ng, "Private Boolean Query Processing on Encrypted Data," 18th International Conference Information and Communications Security (ICICS'16), Singapore, Nov 2016. N. A. Huynh, W. K. Ng, H. G. Do, "On Periodic Behavior of Malware: Experiments, Opportunities, and Challenges," 11th International Conference on Malicious and Unwanted Software, Fajardo, Puerto Rico, Oct 18-21, 2016. N. A. Huynh, W. K. Ng, "Uncovering Periodic Network Signals for Cyber Attacks," 13th IEEE Symposium on Visualization for Cyber Security (VizSec'16), Baltimore, USA, Oct 24, 2016. D. H. Tran, W. K. Ng, "Incremental Privacy-Preserving Association Rule Mining Using Negative Border," 11th Pacific Asia Workshop on Intelligence and Security Informatics (PAISI'16), held in conjunction with PAKDD 2016, Auckland, New Zealand, Apr 2016. V. Sidorov, W. K. Ng, "Towards Performance Evaluation of Oblivious Data Processing Emulated with Partially Homomorphic Encryption Schemes," 2nd IEEE International Conference on Big Data Security on Cloud (BigDataSecurity), New York, Apr 2016. V. Sidorov, W. K. Ng, "A Confidentiality-Preserving Search Technique for Encrypted Relational Cloud Databases," 2nd IEEE International Conference on Big Data Computing Service and Applications (BigDataSerivce), Oxford, UK, Apr 2016. H. G. Do, W. K. Ng, "Privacy-preserving Triangle Counting in Distributed Graphs," 30th IEEE International Conference on Advanced Information Networking and Applications (AINA-2016), Crans-Montana, Switzerland, Mar 23-25, 2016. K. Ariyapala, H. G. Do, N. A. Huynh, W. K. Ng, M. Conti, "A Host and Network Based Intrusion Detection For Android Smartphone," Workshop on Security, Trust, Privacy and Analytics (STPA-2016), held in conjunction with 30th IEEE International Conference on Advanced Information Networking and Applications (AINA-2016), Crans-Montana, Switzerland, Mar 23-25, 2016. V. Sidorov, W. K. Ng, "Model of an Encrypted Relational Database Supporting Complex Predicates in WHERE Clause," IEEE 11th World Congress on Services, Jun 2015, New York, USA. H. G. Do, W. K. Ng, "Privacy-Preserving Approach for Sharing and Processing Intrusion Alert Data," IEEE 10th International Conference on Intelligent Sensors (ISSNIP), Singa- pore, Apr 2015. V. Balachandran, W. K. Ng, S. Emmanuel, "Obfuscation by Code Fragmentation to Evade Reverse Engineering," IEEE International Conference on Systems, Man, and Cybernetics, San Diego, California, Oct 2014. V. Balachandran, W. K. Ng, S. Emmanuel, "Function Level Control Flow Obfuscation for Software Security," 8th International Conference on Complex, Intelligent, and Software Intensive Systems, Birmingham, UK, Jul 2014. V. Sidorov, W. K. Ng, "Model of an Encrypted Cloud Relational Database Supporting Complex Predicates in WHERE Clause," IEEE International Conference on Cloud Computing, Anchorage, Alaska, Jun 2014. H. G. Do, W. K. Ng, "Secure Reachability Query on Private Shared Graphs," IEEE 9th International Conference on Intelligent Sensors, Sensor Networks and Information Processing, Singapore, Apr 2014. R. P. Lua, C. H. Wah, W. K. Ng, "Cornstarch Effect: Intensifying flow resistance for increasing DDoS attacks in Autonomous Overlay Networks," 11th Annual IEEE Consumer Communications and Networking Conference, Las Vegas, Nevada, Jan 2014. R. P. Lua, W. K. Ng, "Autonomic Swarms for Regenerative and Collaborative Networking," 9th IEEE International Conference on Collaborative Computing: Networking, Applications and Work-sharing, Austin, Texas, Oct 2013. H. G. Do, W. K. Ng, Z. Ma, "Privacy-preserving Social Network," 2nd International Symposium on Privacy and Security in Cloud and Social Networks (PriSecCSN 2013), Karlsruhe, Germany, Sep 2013. V. Sidorov, W. K. Ng, "Complex Queries in a Shared Multi-user Relational Cloud Database," IEEE International Conference on Cloud Computing, Santa Clara, California, Jun 2013. J. L. Lim, V. Balachandran, S. Emmanuel, W. K. Ng, "Obfuscating Server Client Programs against Reverse Engineering," Second National Conference on Emerging Trends In Computing, India, Jun 2013. M. Xu, W. K. Ng, F. Liu, "An Enterprise-grade Secure Data Storage and Sharing System," 2nd International Conference on Cyber Security, Cyber Warfare and Digital Forensic, Kuala Lumpur, Malaysia, Mar 2013. T. H. Nguyen, H. G. Do, W. K. Ng, H. Zhu, "Cloud-Enabled Data Sharing Model", IEEE International Conference on Intelligence and Security Informatics (ISI2012), Washington DC, Jun 2012. W. K. Ng, Y. Wen, H. Zhu, "Private Data Deduplication Protocols in Cloud Storage," 27th ACM Symposium on Applied Computing (SAC2012), Riva del Garda (Trento), Italy, Mar 2012. D. H. Tran, W. K. Ng, "Towards Security in Sharing Data on Cloud-Based Social Networks," 8th International Conference on Information, Communications, and Signal Processing (ICICS 2011), Singapore, Dec 2011. W. K. Ng, Y. Wen, H. Zhu, "Private query processing on MapReduce," 3rd IEEE Latin-American Conference on Communications (Latincom2011), Belemdo Para, Brazil, Oct 2011. "Education without values, as useful as it is, seems rather to make man a more clever devil." - C. S. Lewis Privacy Protection Techniques H. G. Do, W. K. Ng, "Private Personal Information Verification", Journal of Information Security, Vol. 8 No. 3, 2017. N. A. Huynh, W. K. Ng, "Learning under Concept Drift with Follow the Regularized Leader and Adaptive Decaying Proximal," Expert Systems with Applications, Vol. 96, pp. 49-63 Apr 2018. D. H. Tran, W. K. Ng, "Incremental Privacy-Preserving Association Rule Mining," 11th Pacific Asia Workshop on Intelligence and Security Informatics (PAISI'16), held in conjunction with PAKDD 2016, Auckland, New Zealand, Apr 2016. F. Liu, W. K. Ng, W. Zhang, "Encrypted SVM for Outsourced Data Mining," 8th IEEE International Conference on Cloud Computing, Jun 2015, New York, USA. F. Liu, W. K. Ng, W. Z, "Secure Scalar Product for Big-Data in MapReduce," IEEE International Conference on Big Data Computing Service and Applications, San Francisco, CA, Apr 2015. F.Liu, W.Z, W.K.Ng, "Encrypted Association Rule Mining for Outsourced Data Mining," 29th IEEE International Conference on Advanced Information Networking and Applications (AINA-2015) Gwangju, Korea, Mar 25-27, 2015. F. Liu, W. Z, W. K. Ng, "Encrypted Gradient Descent Protocol for Outsourced Data Mining," 29th IEEE International Conference on Advanced Information Networking and Applications (AINA-2015) Gwangju, Korea, Mar 25-27, 2015. L. Fang, W. K. Ng, W. Zhang, "Encrypted Scalar Product Protocol for Outsourced Data Mining," IEEE International Conference on Cloud Computing, Anchorage, Alaska, Jun 2014. F. Liu, W. K. Ng, W. Zhang, H. G. Do, S. Han, "Encrypted Set Intersection Protocol for Outsourced Data-sets," IEEE International Conference on Cloud Engineering, Boston, Massachusetts, Mar 2014. W. Zha, W. K. Ng, "Privacy-Preserving in-network Aggregation in Wireless Sensor Network," 1st International Conference on Sensor Networks (SENSORNETS2012), Rome, Italy, Feb 2012. D. H. Tran, W. K. Ng, "An Efficient Cacheable Secure Scalar Product Protocol for Privacy-Preserving Data Mining," 13th International Conference on Data Warehousing and Knowledge Discovery (DaWaK2011), Toulouse, France, Aug 2011. S. Han, W. K. Ng, L. Wan, C. S. Lee, "Privacy-Preserving Gradient Descent Methods", IEEE Transactions on Knowledge and Data Engineering, pp. 884-899, Vol. 22, No. 6, June 2010. H. D. Tran, W. K. Ng, "CRYPPAR: An Efficient Framework for Privacy Preserving Association Rule Mining over Vertically Partitioned Data", IEEE Region 10 Conference on Emerging Technologies for Sustainable Development (TENCON'09), Singapore, Nov 2009. K. Zhai, W. K. Ng, A. R. Herianto, S. Han, "Speeding Up Secure Computations via Embedded Caching", 9th SIAM International Conference on Data Mining (SDM'09), Sparks, Nevada, USA, May 2009. S. Han, W. K. Ng, P. S. Yu, "Privacy Preserving Singular Value Decomposition", IEEE International Conference on Data Engineering (ICDE'09), Shanghai, China, Apr 2009. S. Han, W. K. Ng, "Multi-Party Privacy-Preserving Decision Trees for Arbitrarily Partitioned Data", International Journal on Intelligent Control and Systems, Special Issue on Information Assurance, 2008. S. Han, W. K. Ng, "Preemptive Measures against Malicious Party in Privacy-Preserving Data Mining", SIAM International Conference on Data Mining (SDM 2008), Atlanta, Georgia, Apr 24-26, 2008. S. Han, W. K. Ng, "Privacy-Preserving Linear Fisher Discriminant Analysis", Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2008), Osaka, Japan, May 20-23, 2008. S. Han, W. K. Ng, "Privacy-Preserving Self-Organizing Map", 9th International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2007), Regensburg, Germany, 3-7 Sep 2007. S. Han, W. K. Ng, "Privacy-Preserving Genetic Algorithms for Rule Discovery", 9th International Conference on Data Warehousing and Knowledge Discovery (DaWaK 2007), Regensburg, Germany, 3-7 Sep 2007. W. Li, W. K. Ng, S. Han, V. C. S. Lee, "Privacy-Preservation for Gradient Descent Methods", 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Jose, California, Aug 12-15, 2007. "If you bring forth what is within you, what you bring forth will save you. If you do not bring forth what is within you, what you do not bring forth will destroy you." - Jesus Christ Machine Learning / Artificial Intelligence J. B. Ong, W. K. Ng, "Hybrid Subspace Mixture Models For Prediction and Anomaly Detection in High Dimensions," 12th International Conference on Advanced Data Mining and Applications (ADMA'17), Singapore, Nov 5-6, 2017. S. Li, W. L. Tung, W. K. Ng, "A Novelty Detection Machine and Its Application to Bank Failure Prediction," Neurocomputing, 130 (2014) 6372. S. Li, W. K. Ng, "Maximum Volume Outlier Detection and Its Applications in Credit Risk Analyses," International Journal on Artificial Intelligence Tools, Vol. 22, No. 5, 2013. H. H. Ang, V. Gopalkrishnan, C. H. Hoi, W. K. Ng, "Classification in P2P Networks with Cascade Support Vector Machines," ACM Transactions on Knowledge Discovery from Data, accepted for publication on May 20, 2013. L. Zhu, W. K. Ng, J. Cheng, "Structure and Attribute Index for Approximate Graph Matching in Large Graphs," Information Systems, pp. 958-972, Vol. 36, Iss. 6, Sep 2011. L. Zhu, W. K. Ng, S. Han, "Classifying Graphs using Theoretical Metrics: A Study of Feasibility," International Workshop on Graph-structured Data Bases (GDB2011), in conjunction with 16th International Conference on Database Systems for Advanced Applications (DASFAA'11), Hong Kong, 22-25 Apr 2011. B. Ramadhana, B. Choi, W. K. Ng, "Incremental Maintenance of 2-hop Labeling of Large Graphs", IEEE Transactions on Knowledge and Data Engineering, pp. 682-698, Vol. 22, No. 5, May 2010. H.-H. Ang, V. Gopalkrishnan, W. K. Ng, S. C. H. Hoi, "Adaptive Ensemble Classification in P2P Networks," Database Systems for Advanced Applications (DASFAA'10), Tsukuba, Japan, 1-4 April 2010: 34-48. H.-H. Ang, V. Gopalkrishnan, W. K. Ng, S. C. H. Hoi, "On Classifying Drifting Concepts in P2P Networks," European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD'10), Catalonia, Spain, 20-24 September 2010: 24-39. H.-H. Ang, V. Gopalkrishnan, W. K. Ng, S. C. H. Hoi, "P2PDocTagger: Content management through automated P2P collaborative tagging," 36th International Conference on Very Large Data Bases (VLDB'10), Singapore, 13-17 September 2010: 1601-1604. H. K. Ang, V. Gopalkrishnan, A. Datta, W. K. Ng, C. H. Hoi, "SATRAP: Data and Network Heterogeneity Aware P2P Data Mining", 14th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'10), Hyderabad, India, Jun 21-24 2010. M. Ayyappan, Y.-K. Wong, W. K. Ng, "MICHO: A Scalable Constraint-Based Algorithm for Learning Bayesian Networks", 25th ACM Symposium on Applied Computing, Sierre, Switzerland, Mar 22-26, 2010. H. H. Ang, V. Gopalkrishnan, W. K. Ng, C. H. Hoi "Communication-efficient classification in P2P networks", European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD'09), Bled, Slovenia, Sep 7-11, 2009. L. Zhu, B. Choi, W. K. Ng, B. He, "A Uniform Framework for Ad-hoc Indexes to Answer Reachability Queries on Large Graphs", 14th International Conference on Database Systems for Advanced Applications (DASFAA'09), Brisbane, Australia, Apr 2009. J. S. Sekhon, V. Gopalkrishnan, W. K. Ng, "Proportionate Feature Selection- A Pre-Processing Step for Clustering", IEEE International Conference on Systems, Man, and Cybernetics (SMC 2008), Singapore, 12-15 Oct 2008. H. K. Ang, V. Gopalkrishnan, C. H. Hoi, W. K. Ng, "Classification in P2P Networks by Bagging Cascade RSVMs", 6th International Workshop on Databases, Information Systems and Peer-to-Peer Computing (DBISP2P 2008), held in conjunction with VLDB 2008, Auckland, New Zealand, 23 Aug 2008. H. K. Ang, V. Gopalkrishnan, C. H. Hoi, W. K. Ng, "Cascade RSVM in Peer-to-Peer Network", European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2008), Antwerp, Belgium, 15-19 Sep 2008. B. Ramadhana, K. K. Choi, W. K. Ng, "On Incremental Maintenance of 2-hop Labeling of Graphs", 17th International World Wide Web Conference (WWW 2008), Beijing, China, Apr 21-25, 2008. S. Han, W. K. Ng, Y. Yu, "Frequent Substructure Pattern Mining", Sixth International Conference on Information, Communications and Signal Processing (ICICS 2007), 10-13 Dec 2007, Singapore. W. Li, W. K. Ng, K.-L. Ong, "Enhancing the Effectiveness of Clustering with Spectra Analysis", IEEE Transactions on Knowledge and Data Engineering, Jul 2007. "It is a man's own mind, not his enemy or foe, that lures him to evil ways." - Buddha Streaming Data Analytics H. L. Nguyen, W. K. Ng, D. Woon, "Closed Motifs for Streaming Time Series Classification," Knowledge and Information Systems Journal, accepted for publication on May 9, 2013. W. Zha, W. K. Ng, "Geographic Routing with Cross Links", 7th International Conference on Knowledge, Information and Creativity Support Systems (KICSS'12), Melbourne, Australia, Nov 2012. H. L. Nguyen, W. K. Ng, D. Woon, "Heterogeneous Ensemble for Feature Drifts in Data Streams," 16th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD2012), Malaysia, Jun 2012. W. Zha, W. K. Ng, "Moving Geographic Routing to Practice," IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems, Thailand, May 2012. W. Zha, W. K. Ng, "Developing Practical Geographical Routing Protocols," 1st International Conference on Sensor Networks (SENSORNETS2012), Rome, Italy, Feb 2012. W. Zha, W. K. Ng, "Prolonging Lifespan of Sensor Networks using Redundant Nodes," Ad Hoc & Sensor Wireless Networks Journal, Accepted for publication Jan 2012. H. L. Nguyen, W. K. Ng, "Concurrent Semi-Supervised Learning of Data Streams," 13th International Conference on Data Warehousing and Knowledge Discovery (DaWaK2011), Toulouse, France, Aug 2011. W. Zha, W. K. Ng, "Predict Energy Consumption of Trigger-driven Sensor Network by Markov Chains," Eighth Workshop on Wireless Ad hoc and Sensor Networks WWASN2011, in conjunction with 31st International Conference on Distributed Computing Systems (ICDCS'11), Minneapolis, 21-24 Jun 2011, USA W. Zha, W. K. Ng, "Energy-Efficient Return-Path Routing in Wireless Sensor Networks", IEEE Region 10 Conference on Emerging Technologies for Sustainable Development (TENCON'09), Singapore, Nov 2009. L. Wan, W. K. Ng, X. H. Dang, P. S. Yu, K. Zhang, "Density-Based Clustering of Data Streams at Multiple Resolutions", ACM Transactions on Knowledge Discovery from Data, Vol. 3, No. 3, Jul 2009. X. H. Dang, W. K. Ng, K.-L. Ong, "Incremental and Adaptive Clustering Stream Data over Sliding Window", 20th International Conference on Database and Expert Systems Applications, Linz, Austria, 31 Aug- 4 Sep, 2009. X. H. Dang, W. K. Ng, "An EM-based algorithm for Clustering Data Streams in Sliding Windows", 14th International Conference on Database Systems for Advanced Applications (DASFAA'09), Brisbane, Australia, Apr 2009. S. J. Phua, X. Li, B. S. Lim, J. H. Zhou, W. K. Ng, "Signal Stream Clustering for Cutter-Rotation-Level Tool Condition Monitoring in Milling Process", Annual Conference of the Prognostics and Health Management Society, San Diego, CA Sep 27-Oct 1, 2009. X. H. Dang, W. K. Ng, K.-L. Ong, V. C. S. Lee, "Discovering Frequent Sets from Data Streams with CPU Constraint", 6th Australasian Data Mining Conference (AusDM'07), Gold Coast, Australia, 3-4 Dec 2007 [Best Paper Award]. X. H. Dang, W. K. Ng, "Frequent Sets Mining in Data Stream Environments", Encyclopedia of Data Warehousing and Mining (2nd Ed. ), IGI Publishing, 2007. X. H. Dang, W. K. Ng, K.-L. Ong, "An Error Bound Guarantee Algorithm for Online Mining Frequent Sets over Data Streams", Journal of Knowledge and Information Systems, 2007. "The only man who never makes a mistake is the man who never does anything." - Theodore Roosevelt Product Configuration Techniques L.Wang, W. K. Ng, "Hybrid solving algorithms for an extended dynamic constraint satisfaction problem based configuration system," Concurrent Engineering: Research and Applications, Vol. 20, No. 3, pp. 223-236, 2012. L. Wang, W. K. Ng, "A Hybrid Solving Algorithm for DCSP-Based Configuration System," 8th International Conference on Information, Communications, and Signal Processing (ICICS 2011), Singapore, Dec 2011. L. Wang, W. K. Ng, "Extended DCSP Approach on Product Configuration with Cost Estimation," Concurrent Engineering: Research and Applications, pp. 123-138, Vol. 19, No. 2, Jun 2011. L. Wang, W. K. Ng, B. Song, "Constraint Satisfaction Approach on Product Configuration with Cost Estimation", 22nd International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA-AIE 2009), Taiwan, Jun 2009. L. Wang, W. K. Ng, B. Song, "Semantic Modeling for DCSP-based Product Configuration", IEEE Region 10 Conference on Emerging Technologies for Sustainable Development (TENCON'09), Singapore, Nov 2009. L. Wang, W. K. Ng, B. Song, "Sustaining Product Competitiveness with CSP on Product Configuration and Lifecycle Cost", IEEE Region 10 Conference on Emerging Technologies for Sustainable Development (TENCON'09), Singapore, Nov 2009. H. Liu, V. Gopalkrishnan, W. K. Ng, "Regression Models for Estimating Product Lifecycle Cost", International Journal of Intelligent Manufacturing, Vol. 20, No. 4, pp. 401-408, Aug 2009. H. Liu, W. K. Ng, V. Gopalkrishnan, S. Bin, X. Li, "An Intelligent System for Estimating Full Product Lifecycle Cost at the Early Design Stage", Special Issue of the International Journal of Product Lifecycle Management (IJPLM), Vol. 3, No. 2/3, pp. 96-113, 2008 [Acceptance rate 18.6%]. Y. L. Huang, W. K. Ng, W. F. Lu, B. Song, X. Li., "Towards Automatically Generating Constraint-based Configuration Knowledge", Journal of Manufacturing Technology Management, Vol. 19, No. 6, pp. 744-754, 2008. H. F. Liu, V. Gopalkrishnan, W. K. Ng, B. Sin, X. Li, "Estimating Product Lifecycle Cost Using a Hybrid Approach", Special issue of the International Journal of Product Lifecycle Management, Vol. 20, No. 4, pp. 401-408, Aug 2009. Y. Huang, H. Liu, W. K. Ng, B. Song, X. Li, "Towards automatically generating constraint-based configuration knowledge", International Conference on Manufacturing Automation, Singapore, May 2007 [Highly Recommended Paper Award]. H. Liu, W. K. Ng, B. Song, X. Li, W. F. Lu, "Enabling Mass Customization Through Semantic Web Services", IEEE Asia-Pacific Services Computing Conference (APSCC 2007), Tsukuba, Japan, 11-14 Dec 2007. Y. Huang, W. K. Ng, H. F. Liu, "Deriving Configuration Knowledge and Evaluating Product Variants Through Intelligent Techniques", Sixth International Conference on Information, Communications and Signal Processing (ICICS 2007), 10-13 Dec 2007, Singapore. H. F. Liu, V. Gopalkrishnan, W. K. Ng, B. Song, X. Li, "Estimating Product Lifecycle Cost Using a Hybrid Approach", 2nd IEEE International Conference on Digital Information Management (ICDIM 2007), 28-31 October 2007, Lyon, France. B. S. Lim, X. Li, J. Zhou, K. M. Goh, T. W. Tan, W. K. Ng, "Online Self-Learning Design of an Integrated Automated Laboratory Line," 31st Annual Conference of the IEEE Industrial Electronics Society- IECON'05, 2005 L. Wang, B. Song, W. K. Ng, X. Li, "A Product Family Based Life Cycle Cost Model for Part Variety and Change Analysis", 16th International Conference on Engineering Design (ICED'07), Paris, France, Aug 28-31, 2007. S. J. Phua, W. K. Ng, H. Liu, B. Song, X. Li, "A Rule Mining Approach to Emotional Design in Mass Customization", 16th International Conference on Engineering Design (ICED'07), Paris, France, Aug 28-31, 2007. X. Li, S. J. Phua, W. K. Ng, H. Liu, B. Song, "Customer Preference Reasoning Analysis Through Text Categorization", 16th International Conference on Engineering Design (ICED'07), Paris, France, Aug 28-31, 2007. H. F. Liu, W. K. Ng, B. Song, X. Li, W. F. Lu, "An Intelligent Information System for Enabling Product Mass Customization," 9th International Conference on Enterprise Information Systems, Portugal, June 2007. S. J. Phua, W. K. Ng, H. Liu, B. Song, X. Li, "Customer Information System for Product and Service Management: Towards Knowledge Extraction from Textual and Mixed-Format Data", 4th IEEE International Conference on Service Systems and Service Management (ICSSSM2007), Chengdu, China, Jun 9-11, 2007. Y. L. Huang, W. K. Ng, H. Liu, W. F. Lu, B. Song, X. Li, "Semantic Modeling and Extraction for Cross-family Product Configuration", 4th IEEE International Conference on Service Systems and Service Management (ICSSSM2007), Chengdu, China, Jun 9-11, 2007. B. Song, X. Li, W. K. Ng, "A Framework for An Intelligent Design-support System Based on Product Lifecycle Data," Int. Conf. Product Lifecycle Management (PLM'06), Bangalore, India, 2006 "The superior man thinks always of virtue; the common man thinks of comfort." - Confucius Other Work J. B. Ong, W. K. Ng, T. H. Ho, A. Vorobev, "Groupon and Groupon Now: Participating Firm's Profitability Analysis", Computational Economics, pp. 1-16, Sep 2017. S. C. Guntuku, W. Lin, W. K. Ng, L. H. Ungar, D. Preotiuc-Pietro, "Studying Personality through the Content of Posted and Liked Images," 9th International ACM Web Science Conference, Troy, NY, USA, Jun 2017. D. Rao, W. K. Ng, "A method to compensate users for their information utility," 2nd IEEE International Conference on Big Data Intelligence and Computing, Auckland, New Zealand, August 8-12, 2016 D. Rao, W. K. Ng, "Information Pricing - A User-data-centric Method to Price Information," 23rd IEEE International Conference on Web Services (ICWS), San Francisco, USA, Jun 27-Jul 2, 2016. D. Rao, W. K. Ng, "A Method to Price Your Information Asset in The Information Market," 5th IEEE International Congress on Big Data, San Francisco, USA, Jun 27-Jul 2, 2016. D. Rao, W. K. Ng, "Monetizing the User's Information Asset in Internet Information Market," 5th IEEE International Congress on Big Data, San Francisco, USA, Jun 27-Jul 2, 2016. S. C. Guntuku, S. Roy, W. Lin, K. Ng, W. K. Ng, V. Jakhetiya, "Personalizing User Interfaces for improving quality of experience in VoD recommender systems," 8th International Conference on Quality of Multimedia Experience (QoMEX'16), Lisbon, Portugal, Jun 6-8, 2016. D. Rao, W. K. Ng, "A User-centric Approach to Pricing Information," 2nd IEEE International Conference on Big Data Computing Service and Applications (BigDataSerivce), Oxford, UK, Apr 2016. L. Z. Zhang, F. Li, J. Zhang, W. K. Ng, "Robustness of Trust Models and Combinations for Handling Unfair Ratings," 6th IFIP WG 11.11 International Conference on Trust Management, Surat, India, May 2012. L. Zhang, H. Fang, W. K. Ng, J. Zhang, "IntRank: Interaction Ranking-Based Trustworthy Friend Recommendation," 10th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom2011), Changsha, China, Nov 2011. L. Zhang, C. P. Tan, S. Li, H. Fang, P. Rai, Y. Chen, L. Rohit, W. K. Ng, "The Influence of Interaction Attributes on Trust in Virtual Communities Trust," Reputation and User Modeling Workshop (TRUM'11), held in conjunction with the International Conference on User Modeling Adaptation and Personalization (UMAP2011), Girona, Spain, Jul 2011. T. Y. Chong, W. T. Ng, Q. Gu, W. K. Ng, "A Study of Green IT Strategies for Going Green Organizations," Annual International Conference on Green Information Technology (GreenIT'10), Singapore, October 2010. "Criticism, like rain, should be gentle enough to nourish a man's growth without destroying his roots." - Frank A. Clark Research Grants Principal Investigator, "Blockchain for Cross Region Air Traffic Management", Air Traffic Management Research Institute, Nov 2018-Nov 2019. Principal Investigator, "Confidentiality and Privacy-preserving Blockchain", Ministry of Education, Nov 2018-Nov 2019. Principal Investigator, "Blockchain-based Data Protection Platform for Digital Manufacturing Services (DMS)", National Additive Manufacturing Innovation Cluster, Jul 2018-Nov 2019. Principal Investigator, "Secure, Fully Functional Digital Mobile Payment System with AI-based Fraud Detection Supporting Offline-Online Transactions", Data Science & Artificial Intelligence Research Grant, Sep 2017-Aug 2019. Co-Investigator, "Modelling and Optimizing Home Care and Care-giving Services For The Elderly", Care-at-Home Innovation Grant under National Innovation Challenge on Active and Confident Ageing Ministry of Health National Innovation Challenge Programme Office, Jul 2016-Jul 2019. Principal Investigator, "Data Intelligence for Air Traffic Management", Air Traffic Management Research Institute, Oct 2016-Dec 2017. Principal Investigator, "A Study of Cyber-security Threats to Traffic Management Systems of Unmanned Aircraft Systems", Air Traffic Management Research Institute, May 2016-Nov 2016. Principal Investigator, "Research and Development in Mobile Phone Security III", CSIT Project, Jun 2015-Jun 2017. Principal Investigator, "Research on Integrated Analysis for Cyber-Physical Security", Industry Grant, Sep 2015-Sep 2016. Co-investigator, "A Computer-based Decision Support System for Predictive HSSE Risk Management in Shipping and Ship Management Companies," SMI Project, Dec 2014-Dec 2017. Principal Investigator, "Privacy-preserving Database Systems on Untrusted Servers," Tier 1 Project, Nov 2014-Nov 2016. Principal Investigator, "Research and Development in Mobile Phone Security II", CSIT Project, Mar 2013-Mar 2015. Principal Investigator, "Countering Distributed Denial of Service Attacks using Self-organizing Fast-flux Swarm Network", DIRP Project, Jul 2012-Jul 2015. Principal Investigator, Cyber Security Flagship Initiative, College of Engineering, 2012-2013. Principal Investigator, Secure Cyberspace Platform for Virtual Sustainable Campus with Real-time Continuum - Phase One, Sustainable Earth Office, Dec 2011-Mar 2013. Collaborator, Advanced Techniques for Handling Imbalanced and Unlabelled Data for Classification, A*STAR SERC Grant, Feb 2011-Jan 2013. Co-Investigator, pCloud: Privacy in Data Value Chains using Peer-to-Peer Primitives, A*STAR SERC Grant No. 102 158 0038, Aug 2010-Jul 2013. "I learned that courage was not the absence of fear, but the triumph over it. The brave man is not he who does not feel afraid, but he who conquers that fear." - Nelson Mandela Ph.D. Theses Huynh N. A., Frequency Analysis and Online Learning in Malware Detection Do H. G., Privacy Preserving Query Processing on Outsourced Data via Secure Multiparty Computation R. D. Shivkumar, Monetization Potential of User Information V. Sidorov, Privacy-Preserving OLTP Database Systems with OLAP Support Liu F., Secure Data Mining of Outsourced Data Tran H. D., Speeding Up Privacy Preserving Data Mining Techniques Lua R. P., Autonomous Swarm Networks for Auto-reconfiguration against DDoS Attacks V. Balachandran, Software Protection through Obfuscation Ang H. H., Distributed Classification in P2P Networks Nguyen H. L., Advanced Classification for Streaming Time series and Data Streams Zha W., Power-aware Routing in Wireless Sensor Networks Li S. K., Outlier Detection Wang L., Constraint Satisfaction Approach to Product Configuration with Cost Estimation Zhu L. H., Efficient Methods for Querying and Mining Real-World Graph Data Han S. H., Privacy-Preserving Data Mining via Secure Multiparty Computation Dang X. H., Approximation Algorithms for Mining Patterns from Data Streams Li W. Y., Mining High-dimensional and Graph Data Using Spectral Analysis Liu Z. H., Semi-Automatic Wrapper Generation for Web Information Extraction Li Z., Information Concierge for the World Wide Web Khin M. W., NextDB: Native XML Database System Woon Y. K., Support-Ordered Trie for Accelerating Association Rule Mining, Web Usage Mining and Clustering Ong K. L., Enhancements to Knowledge Discovery for Effective Business Objectives Liu H. F., Timely Refresh of Data-Intensive Website S. Bhowmick, WHOM: A Data Model and Algebra for a Web Warehous "A man is but the product of his thoughts what he thinks, he becomes." - Mahatma Gandhi Conferences / Workshops Senior Program Committee Member, 23th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD2019), Macau, China, April 2019. Senior Program Committee Member, 22th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD2018), Melbourne, Australia, May 2018. Senior Program Committee Member, 21th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD2017), Jeju, South Korea, May 2017. Senior Program Committee Member, 20th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD2016), Auckland, New Zealand, Apr 2016. Senior Program Committee Member, 19th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD2015), Vietnam, May 2015. Senior Program Committee Member, 18th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD2014), Tainan, Taiwan, May 2014. Senior Program Committee Member, 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD2013), Gold Coast, Australia, Apr 2013. Senior Program Committee Member, 16th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD2012), Kuala Lumpur, Malaysia, Jun 2012. Program Vice Chair, 11th Pacific Rim International Conference on Artificial Intelligence (PRICAI2010), Daegu, Korea, Sep 2010. Asia Pacific Liaison Chair, 7th IFIP WG6.11 Conference on e-Commerce, e-Business, and e-Government (I3E), Tokyo, 2008. Program Vice Chair, 10th Pacific Rim International Conference on Artificial Intelligence (PRICAI2008), Hanoi, Vietnam, Dec 2008. Area Chair, 12th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'08), Osaka, Japan, 20-23 May 2008. "Every man must decide whether he will walk in the light of creative altruism or in the darkness of destructive selfishness." - Martin Luther King, Jr. Contact Me Office N4.2c.88 School of Computer Science & Engineering Nanyang Technological University, Singapore Email: awkng@ntu.edu.sg 2015-2020, WEE KEONG NG. All rights reserved. Last updated: 1 January 2020 Design: HTML5 UP diff --git a/src/data/compiled_bios/4450.txt b/src/data/compiled_bios/4450.txt new file mode 100644 index 0000000000..d7d2be7771 --- /dev/null +++ b/src/data/compiled_bios/4450.txt @@ -0,0 +1 @@ + Harold Connamacher Assistant Professor, Electrical Engineering & Computer Science Contact Information: Office Location: Olin 502 Office Hours: Mondays 4:30-5:30,Tuesdays 2:00-3:00,Wednesdays 4:30-5:30,Thursdays 3:30-4:30 Phone Number: 216.368.5877 Email: hsc21@case.edu Education: B.A.: Computer Science, Oberlin College M.S.: Computer and Information Science, University of Oregon Ph.D.: Computer Science, University of Toronto Research and Publications Research Interests: Constraint satisfaction problems, graph theory, random structures, and algorithms Recent Publications: H. Connamacher and M. Molloy, The satisfiability threshold for a seemingly intractable random constraint satisfaction problem. SIAM Journal on Discrete Mathematics, 26 (2): 768-800, 2012. Appendix at arXiv:1202.0042 [cs.DM] H. Connamacher, Exact thresholds for DPLL on random XOR-SAT and NP-complete generalizations of XOR-SAT. Theoretical Computer Science, 421: 25-55, 2012. : diff --git a/src/data/compiled_bios/4451.txt b/src/data/compiled_bios/4451.txt new file mode 100644 index 0000000000..1f41212c95 --- /dev/null +++ b/src/data/compiled_bios/4451.txt @@ -0,0 +1 @@ + Chris Fietkiewicz Assistant Professor, Electrical Engineering & Computer Science Contact Information: Office Location: Olin 515 Phone Number: 216.368.8829 Email: cxf47@case.edu Website: https://sites.google.com/a/case.edu/chris/ Education: Ph.D., Computer Science Case Western Reserve University, Cleveland, OH August 2010 B.S., Electrical Engineering Messiah College, Harrisburg, PA, in a joint program with Temple University, Philadelphia, PA May 1991 Research and Publications Research Interests: Computational neuroscience, high performance computing Recent Publications: C Liu, J Wang , B Deng , X Wei , H Yu , H Li , C Fietkiewicz , KA Loparo, Closed-loop Control of Tremor-predominant Parkinsonian State Based on Parameter Estimation: A Computational Study, IEEE Transactions on Neural Systems and Rehabilitation Engineering , vol.PP, no.99, pp.1-12, doi: 10.1109/TNSRE.2016.2535358, 2016. C Fietkiewicz , KA Loparo, Analysis and Enhancements of a Prolific Macroscopic Model of Epilepsy, Scientifica , 2016:3628247, doi: 10.1155/2016/3628247, 2016. C Fietkiewicz and CG Wilson, Variability in respiratory rhythm generation: in vitro and in silico models, Communications in Nonlinear Science and Numerical Simulation , 32:158-168, doi: 10.1016/j.cnsns.2015.08.018, 2016. C Liu, J Wang, H Yu, B Deng, X Wei, H Li, KA Loparo , C Fietkiewicz , Dynamical analysis of Parkinsonian state emulated by hybrid Izhikevich neuron models, Communications in Nonlinear Science and Numerical Simulation , 28:10 26, doi: 10.1016/j.cnsns.2015.03.018, 2015. C Liu, J Wang, H Li, M Lu, B Deng, H Yu, X Wei , C Fietkiewicz , KA Loparo, Closed-loop Modulation of the Pathological Disorders of the Basal Ganglia Network, IEEE Trans on Neural Networks and Learning Systems , , vol.PP, no.99, pp.1, doi: 10.1109/TNNLS.2015.2508599, 2015. C Kerr, S Neymotin, G Chadderdon, C Fietkiewicz , J Francis, WW Lytton, Electrostimulation as a prosthesis for repair of information flow in a computer model of neocortex, IEEE Transactions on Neural Systems and Rehabilitation Engineering , 20(2): 153 160, doi: 10.1109/TNSRE.2011.2178614, 2012. C Fietkiewicz , KA Loparo, and CG Wilson, Drive Latencies in Hypoglossal Motoneurons Indicate Developmental Change in the Brainstem Respiratory Network, Journal of Neural Engineering , 8(6): 065011, 2011. : diff --git a/src/data/compiled_bios/4452.txt b/src/data/compiled_bios/4452.txt new file mode 100644 index 0000000000..728f15bc14 --- /dev/null +++ b/src/data/compiled_bios/4452.txt @@ -0,0 +1 @@ + Mehmet Koyutrk Jennings Professor of Computing Sciences Department of Electrical Engineering & Computer Science Center for Proteomics & Bioinformatics Case Western Reserve University Home | Teaching | Advising | Research | Publications | Activities Biography I am the Andrew R. Jennings Professor of Computing Sciences in the Department of Electrical Engineering and Computer Science at Case Western Reserve University (CWRU). I received my Ph.D. degree in Computer Science from Purdue University , and my B.S. and M.S. degrees from Bilkent University , respectively in Electrical Engineering and Computer Engineering . My research is on the development of algorithms for large-scale data mining and analysis, with particular emphasis on networks and graph-structured data. I mainly focus on biology as the application area, and develop algorithms for analyzing biological networks and gaining insights into the systems biology of complex diseases. I also serve in the steering committee of CWRU's graduate programs in Systems Biology and Bioinformatics (SYBB) and I am an associate editor for IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB). Contact Information Address: Department of Electrical Engineering & Computer Science Case Western Reserve University 10900 Euclid Avenue Cleveland, OH 44106 Office: Olin 512 Phone: (216) 368-2963 Fax: (216) 368-6888 E-mail: diff --git a/src/data/compiled_bios/4453.txt b/src/data/compiled_bios/4453.txt new file mode 100644 index 0000000000..608f2aa058 --- /dev/null +++ b/src/data/compiled_bios/4453.txt @@ -0,0 +1 @@ + Michael Lewicki Associate Professor, Electrical Engineering & Computer Science Contact Information: Office Location: Olin 508 Phone Number: 216.368.3168 Email: msl88@case.edu Education: B.S. , Carnegie Mellon Univ., Math & Cognitive Sci., 1989 Ph.D. , California Inst. of Tech., Comp. & Neural Sys., 1996 Research and Publications Research Interests: Computational perception and scene analysis, visual representation and processing, auditory representation and analysis Recent Publications: Doi, E. & Lewicki, M.S., 2011. Characterization of minimum error linear coding with sensory and neural noise. Neural Computation , 23(10), pp.24982510. Balcan, D.C. & Lewicki, M.S., 2009. Point coding: Sparse image representation with adaptive shiftable-kernel dictionaries. In Signal Processing with Adaptive Sparse Structured Representations (SPARS) , 2009. Balcan, D.C. & Lewicki, M.S., 2009. Adaptive coding of images via multiresolution ICA. In IEEE Conference on Acoustics, Speech and Signal Processing (ICASSP) . pp. 10211024. Karklin, Y. & Lewicki, M.S., 2009. Emergence of complex cell properties by learning to generalize in natural scenes. Nature , 457(7225), pp.8386. Cavaco, S. & Lewicki, M.S., 2007. Statistical modeling of intrinsic structures in impacts sounds. Journal of the Acoustical Society of America , 121(6), pp.35583568. Doi, E. & Lewicki, M.S., 2007. A Theory of Retinal Population Coding. Advances in Neural Information Processing Systems (NIPS) 19. Doi, E., Balcan, D.C. & Lewicki, M.S., 2007. Robust Coding Over Noisy Overcomplete Channels. IEEE Transactions on Image Processing , 16(2), pp.442 452. Smith, E. & Lewicki, M.S., 2006. Efficient auditory coding. Nature , 439(7079), pp.978982. Doi, E., Balcan, D. & Lewicki, M.S., 2006. A Theoretical Analysis of Robust Coding over Noisy Overcomplete Channels. In Advances in Neural Information Processing Systems (NIPS) 18 . Karklin, Y. & Lewicki, M.S., 2006. Is Early Vision Optimized for Extracting Higher-order Dependencies? In Advances in Neural Information Processing : diff --git a/src/data/compiled_bios/4454.txt b/src/data/compiled_bios/4454.txt new file mode 100644 index 0000000000..f827c81b86 --- /dev/null +++ b/src/data/compiled_bios/4454.txt @@ -0,0 +1 @@ + Vincenzo Liberatore Associate Professor, Electrical Engineering & Computer Science Contact Information: Office Location: Glennan 517A Phone Number: 216.368.4089 Email: vxl11@case.edu Website: http://eida.case.edu/ Education: Ph.D., Computer Science, Rutgers University, 1998 M.S., Computer Science, Rutgers University, 1994 Laurea, Electrical Engineering, Universit di Roma La Sapienza, 1992 Research and Publications Research Interests: Dr. Liberatores research interests include real-time network control of the smart power grid of alternative energy sources, actuator and wireless sensor networks. With the support of FirstEnergy, he developed the Energy Information Dashboard (EIDA) energy market simulations as an education tool on the path from electricity generation, consumptions and markets for the smart grid. His other research interests include distributed systems, Internet computing and randomized algorithms. Dr. Liberatore served on the program committees of the Workshop on Factory Communication Systems (WFCS) and the International Conference on Mobile Data Management (MDM). Recent Publications: Z. Al-Qudah, M. Allman, V. Liberatore, and M. Rabinovich. Efficient Application Placement in a Dynamic Hosting Platform. 18th International World Wide Web Conference (WWW 2009) , 281-290. V. Liberatore and A. Al-Hammouri. Smart Grid Communication and Co-Simulation. IEEE EnergyTech , 2011. V. Liberatore. Energy Information Dashboard for Analytics. Presentation at OSU-PUCO Workshop on Smart Grid , 2012. J. Beaver, K. Pruhs, P. K. Chrysanthis, and V. Liberatore. Improving the Hybrid Data Dissemination Model. World Wide Web , 11 (3), 313-337, September 2008. A. Al-Hammouri, M. Branicky, and V. Liberatore. Co-Simulation for Networked Control Systems. 2008 Hybrid Systems: Computation and Control (HSCC 2008) , 16-29. W. Zhang and V. Liberatore. Scalable Data Dissemination Using Hybrid Methods. IEEE International Parallel and Distributed Processing Symposium (IPDPS 2008) . Q. Cai and V. Liberatore. Layered Multicast Scheduling for the L Objective. Proceedings of the Eighteenth ACM-SIAM Symposium on Discrete Algorithms (SODA 07) , 824-833. : diff --git a/src/data/compiled_bios/4455.txt b/src/data/compiled_bios/4455.txt new file mode 100644 index 0000000000..c32b23b832 --- /dev/null +++ b/src/data/compiled_bios/4455.txt @@ -0,0 +1 @@ + Andy Podgurski Professor, Electrical Engineering & Computer Science Contact Information: Office Location: Olin 510 Phone Number: 216.368.6884 Email: hap@case.edu Education: Ph.D. , University of Massachusetts, Computer Science, 1989 M.S. , University of Massachusetts, 1985 B.S. , University of Massachusetts, Physical Education, 1980 Research and Publications Research Interests: Software engineering methodology and tools, especially use of data mining, machine learning, and program analysis techniques in software testing, fault detection and localization, reliable engineering and software security, electronic mediacal records, privacy Recent Publications: Chang, R.Y. and Podgurski, A. Discovering Programming Rules and Violations by Mining Interprocedural Dependences. Journal of Software Maintenance and Evolution , published online (early view), Feb. 25, 2011, Wiley Online Library, DOI: 10.1002/smr.532. Hoffman, S. and Podgurski, A. Meaningful Use and Certification of Health Information Technology: What about Safety? The Journal of Law, Medicine & Ethics , 39, 2011, 77-80. Baah, G. K. , Podgurski, A. and Harrold, M. J. The Probabilistic Program Dependence Graph and Its Application to Fault Diagnosis . IEEE Transactions on Software Engineering , 36, 4 (2010), 528-545. S. Hoffman and A. Podgurski, E-Health Hazards: Provider Liability and Electronic Health Record Systems , Berkeley Technology Law Journal 24, no. 4 (2009): 15231581. Masri, W. and Podgurski, A. Measuring the Strength of Information Flows in Programs . ACM Transactions on Software Engineering and Methodology , Volume 19, Issue 2 (October 2009). Masri, W. and Podgurski, A. Algorithms and tool support for dynamic information flow analysis . Information and Software Technology 51(2), February 2009, pp. 385-404. * Chang, R.Y. , Podgurski, A., and Yang, J. Discovering Neglected Conditions in Software by Mining Dependence Graphs . IEEE Transactions on Software Engineering 34, 5 Sept./Oct. 2008. Hoffman, S. and Podgurski, A. Finding a Cure: The Case for Regulation and Oversight of Electronic Health Record Systems . Harvard Journal of Law and Technology , 22(1), Fall 2008. Masri, W. and Podgurski, A. Application-Based Anomaly Intrusion Detection with Dynamic Information Flow Analysis . Computers and Security , 27, 5-6, pp. 176-187, 2008. * Masri. W. and Podgurski, A, and Leon, D. An Empirical Study of Test Case Filtering Techniques Based On Exercising Information Flows . IEEE Transactions on Software Engineering , Vol. 33, No. 7, July 2007, pp. 454-477. Hoffman, S. and Podgurski, A. In Sickness, Health, and Cyberspace: Protecting the Security of Electronic Private Health Information . Boston College Law Review , Vol. 48, No. 2, March 2007, p. 331-386. Hoffman, S. and Podgurski, A. Securing the HIPAA security rule . Journal of Internet Law , Spring 2007. Conference Papers: Shu, G., Bai, Z., and Podgurski, A. Statistical Evaluation of Complex Input-Output Transformations . To appear in Proceedings of the 22nd International Symposium on Software Reliability Engineering (Hiroshima, Japan, Nov. 29-Dec. 2, 2011). [Acceptance Rate: 25%] Baah, G. K., Podgurski, A., and Harrold, M.J. Mitigating the Confounding Effects of Program Dependences for Effective Fault Localization . To appear in Proceedings of the European Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundations of Software Engineering (Szeged, Hungary, Sept. 2011). [Acceptance Rate 17%] Sun, B. , Podgurski, A. and Ray, S. Improving the Precision of Dependence-Based Defect Mining by Supervised Learning of Rule and Violation Graphs. In Proceedings of the International Symposium on Software Reliability Engineering (San Jose, CA, Nov., 2010). [Acceptance Rate 31%] Sun, B., Shu, G. , Andy, P., Li, S., Zhang, S. and Yang, J. Propagating Bug Fixes with Fast Subgraph Matching . In Proceedings of the International Symposium on Software Reliability Engineering (San Jose, CA, Nov., 2010). [Acceptance Rate 31%] Sun, B., Chang, R.Y., Chen, X. and Podgurski, A. Automated Support for Propagating Bug Fixes . 2008 International Symposium on Software Reliability Engineering (Seattle, WA, Nov. 2008). [Acceptance Rate 25%] Baah, G., Podgurski, A., and Harrold, M.J. The Probabilistic Program Dependence Graph and its Application to Fault Diagnosis . 2008 International Symposium on Software Testing and Analysis (Seattle, WA, July 2008), pp. 189-200. [ Acceptance Rate 26%] Augustine, V. and Podgurski, A. Corroborating User Assessments of Software Behavior to Facilitate Operational Testing . 2007 International Symposium on Software Reliability Engineering (Trollhttan, Sweden, Nov. 2007), pp. 61-70. [ Acceptance Rate 30%] Chang, R.Y. and Podgurski, A. Finding Whats Not There: A New Approach to Revealing Neglected Conditions in Software . 2007 International Symposium on Software Testing and Analysis (London, UK, July 2007), pp. 163-173. [ Acceptance Rate 22% ] WINNER OF BEST PAPER AWARD : diff --git a/src/data/compiled_bios/4456.txt b/src/data/compiled_bios/4456.txt new file mode 100644 index 0000000000..aea4dcaccc --- /dev/null +++ b/src/data/compiled_bios/4456.txt @@ -0,0 +1 @@ + Michael (Misha) Rabinovich Case Western Reserve University Electrical Engineering & Computer Science 10900 Euclid Avenue Cleveland, OH 44106-7071 full first name (not nickname).family name at case period edu Voice: (216) 368-4559 FAX: (216) 368-6888 Research Interests (see my CV for more details) I am a professor in the EECS department at Case Western Reserve University, which I joined after spending 11 years with AT&T Labs - Research. My interests include World-Wide Web, Internet, and distributed systems. In particular, my current research concerns performance and scalability issues of the Web and Internet, Internet measurements, utility computing, overlay networks, and Internet security. News: Our work on using content delivery networks as conduit for denial of service attacks was the topic of an IEEE Spectrum article in its February'2011 issue. Alumni: Abhijit Jejurkar (MS'2007 -> Medtronics) Michael Jolson (MS'2007 -> Microsoft) Maaz Khan (MS'2011-> Bloomberg Financial Services) Eamon Johnson (MS'2011 -> Case PhD student) Song Zhao (MS'2013 - Cisco) Zakaria Al-Qudah (PhD'2009 -> Yarmouk University, Jordan) Zhihua Wen (PhD'2009 -> Microsoft) Hangwei Qian (PhD'2012 -> VMWare) Sipat Triukose (PhD'2013 -> NICTA (National ICT Australia)) Tom Callahan (PhD'2013 -> Explorys) Hussein Alzoubi (PhD'2014 -> Bloomberg Financial Services) Tu Ouyang (ABD, PhD in progress -> Twitter) Kyle Schomp (PhD'2016 -> Akamai) Our research has been supported by NSF (Grants CNS-0831821, CNS-0721890, CNS-0520105, CNS-0615190, CNS-0551603), AT&T, and Lockheed Martin Corp. Book M. Rabinovich and O. Spatscheck. Web Caching and Replication. Addison Wesley; 2002. ISBN: 0201615703. Table of Contents. Publications Web and Internet Workflow Management Distributed Transactions diff --git a/src/data/compiled_bios/4457.txt b/src/data/compiled_bios/4457.txt new file mode 100644 index 0000000000..282c37e88e --- /dev/null +++ b/src/data/compiled_bios/4457.txt @@ -0,0 +1 @@ + Soumya Ray (Ph. D., University of Wisconsin-Madison, 2005) Associate Professor Department of Electrical Engineering and Computer Science Case Western Reserve University Office: Olin 516 Office hours: F 9:30am-11:00am Email: sray AT case Mailing Address: Department of EECS, Glennan 320, 10900 Euclid Ave, Cleveland OH 44106-7071 Research Areas: Artificial Intelligence, Machine Learning, Reinforcement Learning and Planning Slack group Github Teaching I teach undergraduate AI (EECS 391) in the spring and graduate machine learning (EECS 440) in the fall. I also teach two other graduate level courses: EECS 496 (Sequential Decision Making) and EECS 497 (Statistical Natural Language Processing). Currently, these last two are offered once every two years. You can visit this page to learn more about these courses. I am the current AI minor advisor. This minor provides a broad foundation in Intelligent Systems. CS majors interested in this minor should take the "Cognitive Science" track. All other majors can take either track. SEPIA (Strategy Engine for Programming Intelligent Agents) is a real-time strategy game environment my students and I have built for AI teaching and research (see EAAI paper below). I use it in classes for assignments. It is open source and free to use. Please let me know if you are using/would like to use it. Current teaching: Spring 2019: Introduction to Artificial Intelligence (EECS 391), Senior Project (EECS 395) Advising If you are an undergraduate student interested in AI, please stop by my office (Olin 516) during office hours (or send email for an appointment) to discuss your undergraduate career. The primary requirements are strong programming and mathematics skills. In particular, the following courses will be useful foundational courses: MATH 201, MATH 380, EECS 416. You should aim to take EECS 391 as early as you can (no later than junior year), and follow up with some of the advanced, graduate level courses: EECS 440 (Machine Learning), 442 (Causal Inference), 491 (Probabilistic Graphical Models), 496 (Sequential Decision Making), 497 (Statistical Natural Language Processing), 499 (Algorithmic Robotics), 531 (Computer Vision), 600 (Computational Perception). For a minor, consider Cognitive Science, Math or Statistics. Please note that the AI minor will generally not add anything useful if you are already specializing in AI, unless you take the "Cognitive Science" track (but then you should consider a minor in Cognitive Science). If you are a CWRU graduate student interested in AI/machine learning research, and have a solid background in probability and statistics, programming and optimization, you should first take one of my classes. If you like the material and do well, please send me an email for an initial discussion. You can also send me email to be added to my reading group's mailing list (for notifications about papers we will read next). Please note that you will need to have taken EECS 440 or 491 or have a good background in AI to contribute effectively. Please note that I do not generally respond to email from students who have not been admitted to CWRU. If you are interested in AI and have applied to the PhD program in CS, you can send me a note if you want me to review your application. Please make sure to mark "PhD in CIS (Computer and Information Science)" in your application, or it may not be considered by the CS program . A note on the distinction between the Computer Science (CS) and Computer Engineering (CE) programs at CWRU: CS deals with the process and theory of computation and its platform-independent implementation. If you are interested in designing algorithms to solve problems, analyzing them and implementing them (using high level languages), CS will suit you. CE deals with the low-level specifics of platforms that implement computational processes. If you are interested in designing VLSI circuits, testing circuit specifications, or novel hardware architectures such as GPU-based computing, CE will suit you. Current Students Arielle Bloostein (MS) Anneliese Braunegg (undergraduate) Caitlin Campbell Yufan Chen David Epstein David Fan (undergraduate) Zicheng Gao (undergraduate) Kristen Hauser Yi Hou (Ph.D.) I-Kung Hsu Zhengkai Jiang Mingxuan Ju Sai Saradha K. L. (MS) Kha-Dinh Luong Ted Timbrell Swetha Srikanthan (MS) Helen Zhao Graduated Students Nikil Pancha (undergraduate, graduated Fall 2018, first job: Pinterest) Sibi Sengottuvel (undergraduate, graduated Fall 2018, first job: Google) William Barbaro (MS, graduated Spring 2018, first job: Yelp inc ) Gabriel Ewing (MS, graduated Fall 2017, first job: Google inc ) Sergiy Turchyn (MS, graduated Summer 2017, first job: Google inc ) Thesis: A Visual Search Engine for Gesture Annotation Galen Caldwell (undergraduate, graduated Spring 2017, first job: Amazon inc. ) Andrew Hamm (undergraduate, graduated Spring 2017, first job: Yelp inc ) Julie Kaplan (undergraduate, graduated Spring 2017, first job: Google inc ) Nicholas Stevens (undergraduate, graduated Spring 2017, first job: MIM Software ) Rui Liu (MS, graduated Fall 2016, currently Ph.D. candidate at University of Michigan) Jon Pfeil (MS, graduated Summer 2016, first job: Google inc ) Thesis: Algorithms and Resources for Scalable Natural Language Generation Jeffrey Copeland (undergraduate, graduated Spring 2016) Scott Sosnowski (MS, graduated Spring 2016, first job: Explorys/IBM ) Devin Schwab (MS, NDSEG 2015 Fellow, graduated Fall 2015, first position: PhD candidate at Carnegie Mellon University) Thesis: Hierarchical Sampling for Least Squares Policy Iteration Andrew Latham (MS, graduated Summer 2015,first job: Google inc ) Gary Doran (Ph. D., graduated Fall 2014, first job: Jet Propulsion Laboratory, Caltech/NASA ) Thesis: Distribution-based Multiple-Instance Learning Larry Muhlstein (undergrad, graduated Fall 2014, first position: PhD candidate at University of California San Diego) Kai Liang (MS, graduated Spring 2014, first job: Amazon inc. ) Thesis: Fault Localization in Embedded Control System Software Nathan McKinley (MS, graduated Fall 2013, first job: Google inc ) Thesis: A Decision-Theoretic Approach to Natural Language Generation Tyler Goeringer (MS, graduated Summer 2013, first job: nVidia inc ) Thesis: Massively Parallel Reinforcement Learning with an Application to Video Games Feng Cao (MS, graduated Spring 2012, first job: Amazon inc. ) Thesis: Classification, Detection and Prediction of Adverse and Anomalous Events in Medical Robots Tim Ernsberger (MS, graduated Fall 2012, first job: Amazon inc. ) Thesis: Integrating Deterministic Planning and Reinforcement Learning for Complex Decision Making Howie Richmond (MS, graduated Fall 2011, first job: MIM Software , co-supervised with Andy Podgurski) Thesis: Bayesian Logistic Regression Models for Software Fault Localization Current Research What are the fundamental aspects of building an intelligent autonomous system? In my opinion, they are: Representation: How does the system represent the world? How does it understand what is relevant ? How does it understand what is relevant to its current situation from its previous experience? Decomposition: How does the system learn to break down large problems into efficiently solvable chunks, and compose useful solutions? Coordination and Communication: How does the system work with other such systems to solve large problems? In my research, I am attempting to make progress in understanding these very challenging questions. As well as addressing these fundamental issues, I work with several collaborators to apply AI and machine learning techniques to various application domains, including medicine, cognitive science and business. My reading group web page is here . Machine Learning/Artificial Intelligence Theory and Methods Natural Language Generation Humans are able to generate complex and nearly error-free language in most contexts. How can we enable similar capabilities in artificial systems? Given a communicative goal, a grammar and a world description, this research seeks to derive practical algorithms for fast language generation. (Students: Nathan McKinley, Jon Pfeil, Yi Hou) Hierarchical Reinforcement Learning Humans manage complex tasks by decomposition and also using prior information collected by solving other tasks. How can we integrate these ideas into autonomous agents? This research seeks ways to answer this question. (Students: Kai Liang, Feng Cao, Devin Schwab, Gabriel Ewing) Distribution-based Multiple-Instance Learning The traditional view of multiple-instance learning is that an example is a set of feature vectors. But in many real applications, such as 3D-QSAR , it makes more sense to think of an example as a distribution over feature vectors. This view leads to new theoretical insights into multiple-instance learning, and new ways to explain the observed behavior of algorithms on these problems. (Students: Gary Doran, Andrew Latham, Jeffrey Copeland, Rui Liu) Applied Machine Learning and Artificial Intelligence Machine Learning for Gesture Annotation in Video Understanding when people employ gestures or similar nonverbal communication cues is important for developing automated systems that can communicate with people in a natural manner. We are studying machine learning methods that can learn to recognize and eventually deploy gestures in communication. With the Red Hen Lab , Mark Turner and Francis Steen . (Students: Sergiy Turchyn) Machine Learning for Automated Plaque Classification in OCT images Millions of people die of heart disease every year. A key cause is the development of certain types of "bad" plaque in blood vessels, which when ruptured, can interfere with blood flow, leading to thrombosis. Blood vessels can be imaged using intravascular optical coherence tomography (IV-OCT). This technique, however, creates lots of images which have to be manually analyzed to identify problematic plaque types. We are developing automated techniques that aid in the analysis along with visualization tools to display the affected regions, with the goal of (i) reducing the manual effort needed to analyze these images so that more timely diagnoses can be made and (ii) enabling accurate targeting of the affected regions through detailed visualization. With David Wilson . (Students: Ronny Shalev, CWRU Electrical Engineering) Determining Influence Strategies in Contract Negotiations Why do some contract negotiations succeed where others fail? What cues do the best negotiators observe and what strategies do they use in response? This project is using machine learning techniques to answer such questions. With Jagdip Singh and Detelina Marinova . Previous Research Machine Learning/Artificial Intelligence Theory and Methods Kernel Methods for Multiple-Instance Learning Kernels are powerful and flexible representation transformations of feature vectors which enable nonlinear classifiers to be learned efficiently in a supervised setting. How do these behave when applied to multiple-instance data, where sets of feature vectors are mapped? A variety of surprising behaviors emerge in this case. This research seeks to characterize this behavior and understand the strengths and weaknesses of this technique for MI data. (Students: Gary Doran) Knowledge Transfer in Reinforcement Learning "Transfer Learning" focuses on methods that can effectively transfer knowledge acquired about one task to help in solving another, different task. We are developing techniques that transfer knowledge between different sequential decision processes, using real-time strategy games as our testbeds. With Alan Fern , Prasad Tadepalli , Tom Dietterich . (Students: Neville Mehta and Aaron Wilson) Efficient learning for hard Boolean functions Certain Boolean functions, such as parity, are known to be hard to learn efficiently. In this work, we demonstrated that the hardness of learning these functions is linked to the input distribution of the data; if the input distribution is "significantly different" from the uniform distribution, these functions may be efficiently learnable. Based on this observation, we developed a method called Skewing that is often able to learn such functions efficiently, given enough observations. With David Page , Lisa Hellerstein , Bard Rosell, Eric Lantz and Eric Bach . Learning from Multiple-Instance Data In standard supervised learning, examples are described by a tuple of attribute-value pairs. In some problems, such as predicting the binding affinities of small molecules to a target protein, examples are described by sets of such tuples. We have developed new algorithms for classification and regression from such "multiple-instance" data, and shown that the straightforward extension of linear regression to this setting is NP-complete. With Mark Craven , David Page and Burr Settles . Information Extraction from Free Text Information extraction is the task of creating structured relations out of free text. In our work, we have developed statistical methods for doing this that also incorporate grammatical information about sentences obtained using an automated parser, Sundance . With Mark Craven and Marios Skounakis. Applied Machine Learning and Artificial Intelligence Machine Learning for Software Engineering The scale and complexity of modern software makes it prone to bugs. Automated techniques using machine learning can assist developers during testing and debugging to quickly locate and remove faults. This research seeks to develop automated and collaborative methods to detect software defects and improve software reliability. With Andy Podgurski . (Students: Boya Sun, Gang Shu, Zhuofu Bai, Howie Richmond) Preventing Adverse and Anomalous Events in Cyber-physical systems Many modern robotic systems are used in situations where reliability is critical, but how to estimate reliability of these complex systems under various circumstances is not well understood. In this project, we designed processes to improve the reliability of these systems, in particular to detect and prevent adverse and anomalous (A&A) events in medical robots during their operation. With Andy Podgurski and Cenk Cavusoglu . Supported by NSF. (Students: Kai Liang, Feng Cao, Zhuofu Bai, Mark Renfrew) Automated Stent Detection in OCT images Millions of people receive stent implants as treatment for coronary artery disease. Subsequently, these are imaged to see if further intervention is needed if complications arise. These images are currently manually processed by radiologists and take 6-16 hours per stent in intravascular Optical Coherence Tomography (IV-OCT) images. We developed automated techniques using machine learning that can effectively help radiologists process these images in an hour or less, reducing cost and lowering errors. With David Wilson . (Students: Hong Lu, CWRU Biomedical Engineering) Machine Learning for Spam Filtering In this project, we investigated adaptive methods for spam detection. We developed a filtering pipeline that can detect these messages as early as possible in network traffic, thereby saving bandwidth, reducing storage costs and decreasing congestion. With Michael Rabinovich and Mark Allman . (Students: Tu Ouyang) Machine Learning for Understanding Functional Brain Networks In this project, we used machine learning methods to analyze fMRI data from the brain at rest versus various task conditions. We found that these networks appear to be quite distinct. In particular, coactivation patterns based on task data seem to be statistically different from coactivation patterns from rest data. With Anthony Jack . (Students: Ching-Yi Wu) Machine Learning for Question Answering Question answering systems are designed to provide accurate responses to short factual questions asked in natural language. In our work, we have developed a method that the system can use to learn from past questions to improve accuracy on future questions. With Eric Brill . (This work is not publicly available) Publications Francis F. Steen, A. Hougaard, J. Joo, I. Olza, C. Cnovas, A. Pleshakova, S. Ray, P. Uhrig, J. Valenzuela, J. Wozny, M. Turner. Toward an infrastructure for data-driven multimodal communication research. Available online. Linguistics Vanguard, vol 4 no. 1. S. Turchyn, I. Moreno, C. Cnovas, F. Steen, M. Turner, J. Valenzuela, S. Ray (2018). Gesture Annotation with a Visual Search Engine for Multimodal Communication Research. Appears in the Proceedings of the Thirtieth Conference on Innovative Applications of Artificial Intelligence (IAAI-18). R. Liu and S. Ray (2017). An Analysis of Boosted Linear Classifiers on Noisy Data with Applications to Multiple-Instance Learning. Appears in the Proceedings of the IEEE International Conference on Data Mining. D. Schwab and S. Ray (2017). Offline Reinforcement Learning with Task Hierarchies. Machine Learning, also presented at the European Conference on Machine Learning 2017. Available online. R. Shalev, D. Nakamura, S. Nishino, A. M. Rollins, H. G. Bezerra, D. L. Wilson and S. Ray (2017). Automated Volumetric Intravascular Plaque Classification Using Optical Coherence Tomography. Appears in AI Magazine vol 38, no 1 (invited, peer reviewed article). Available online. J. Pfeil and S. Ray (2016). Scaling a Natural Language Generation System. pdf To appear in the Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (ACL-16), Berlin, Germany. Y. Zhang, S. Ray and W. Guo (2016). On the Consistency of Feature Selection with Lasso for Non-Linear Targets. pdf To appear in the Proceedings of the 33rd International Conference on Machine Learning (ICML-16), New York City, New York, USA. G. Doran and S. Ray (2016). Multiple-Instance Learning from Distributions. Appears in the Journal of Machine Learning Research, vol 17 no 128 pp 1--50. Available online. G. Doran, A. Latham and S. Ray (2016). A Unifying Framework for Learning Bag Labels from Generalized Multiple-Instance Data. pdf Supplementary materials To appear in the Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI-16), New York City, New York, USA. R. Shalev, D. Nakamura, S. Nishino, A. M. Rollins, H. G. Bezerra, D. L. Wilson and S. Ray (2016). Automated Volumetric Intravascular Plaque Classification Using Optical Coherence Tomography (OCT). pdf Appears in the Proceedings of the 28th Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-16), Phoenix, Arizona, USA. R. Shalev, M. Gargesha, D. Prabhu, K. Tanaka, A. M. Rollins, G. Lamouche, C.-E. Bisaillon, H.G. Bezerra, S. Ray, D. L. Wilson (2016). Processing to determine optical parameters of atherosclerotic disease from phantom and clinical intravascular optical coherence tomography three-dimensional pullbacks. Journal of Medical Imaging, vol 3 no 2. Available online. R. Shalev, H.G. Bezerra, S. Ray, D. Prabhu, D. L. Wilson (2016). Classification of calcium in intravascular OCT images for the purpose of intervention planning. SPIE Medical Imaging vol 9786. G. Doran and S. Ray (2014). Learning Instance Concepts from Multiple-Instance Data with Bags as Distributions. pdf Appears in Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence (AAAI-14), Quebec City, Canada. N. McKinley and S. Ray (2014). A Decision-Theoretic Approach to Natural Language Generation. pdf Appears in Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, Baltimore, Maryland, USA. T. Ouyang, S. Ray, M. Allman and M. Rabinovich (2014). A Large-Scale Empirical Analysis of Email Spam Detection Through Network Characteristics in a Stand-Alone Enterprise. Online version. Computer Networks, vol 59, pp 101-121. G. Doran and S. Ray (2014). A theoretical and empirical analysis of support vector machine methods for multiple-instance classification. Online version. Appears in Machine Learning, vol 97, issue 1-2. Also presented at the European Conference on Machine Learning 2014. G. Doran and S. Ray (2013). SMILe: Shuffled Multiple-Instance Learning. (Outstanding Paper award) pdf Appears in the Proceedings of the 27th AAAI Conference on Artificial Intelligence, Bellevue, Washington, USA. K. Liang, F. Cao, Z. Bai, M. Renfrew, M. Cenk Cavusoglu, A. Podgurski and S. Ray (2013). Detection and Prediction of Adverse and Anomalous Events in Medical Robots. pdf Appears in the Proceedings of the 25th Annual Conference on Innovative Applications of Artificial Intelligence (IAAI), Bellevue, Washington, USA. S. Sosnowski, T. Ernsberger, F. Cao and S. Ray (2013). SEPIA: A Scalable Game Environment for Artificial Intelligence Teaching and Research. pdf Appears in the Proceedings of the Fourth Symposium on Educational Advances in Artificial Intelligence (EAAI), Bellevue, Washington, USA. H. Lu, M. Gargesha, Z. Wang, D. Chamie, G. F. Attizzani, T. Kanaya, S. Ray, M. A. Costa, A. M. Rollins, H. G. Bezerra and D. L. Wilson (2013). Automatic stent strut detection in intravascular OCT images using image processing and classification technique. Appears in the Proceedings of SPIE Medical Imaging: Computer-Aided Diagnosis, vol 8670, eds. Carol Novak, Stephen Aylward. F. Cao and S. Ray (2012). Bayesian Hierarchical Reinforcement Learning. pdf Appears in the Proceedings of the 26th Annual Conference on Neural Information Processing Systems (NIPS), Lake Tahoe, Nevada, USA. H. Lu, M. Gargesha, Z. Wang, D. Chamie, G. F. Attizzani, T. Kanaya, S. Ray, M. A. Costa, A. M. Rollins, H. G. Bezerra and D. L. Wilson (2012). Automatic stent detection in intravascular OCT images using bagged decision trees. Biomedical Optics Express, vol 3 no. 11(Nov):2809--2824. M. Ruffalo, M. Koyuturk, S. Ray and T. LaFramboise (2012). Accurate Estimation of Short Read Mapping Quality for Next Generation Genome Sequencing. (also published in Bioinformatics (2012) 28 (18): i349-i355 .) Appears in the Proceedings of the 11th European Conference on Computational Biology, Basel, Switzerland. B. Sun, G. Shu, A. Podgurski and S. Ray (2012). CARIAL: Cost-Aware Software Reliability Improvement with Active Learning. pdf In Proceedings of the Fifth IEEE International Conference on Software Testing, Verification and Validation (ICST), Montreal, CA. N. Mehta, S. Ray, P. Tadepalli and T. Dietterich (2011). Automatic Discovery and Transfer of Task Hierarchies in Reinforcement Learning. Appears in AI Magazine, special issue on Transfer of Structured Knowledge. (reviewed article) T. Ouyang, S. Ray, M. Rabinovich and M. Allman (2011). Can Network Characteristics Detect Spam Effectively in a Stand-Alone Enterprise? pdf In Proceedings of the 12th Passive and Active Measurement Conference, Atlanta, GA, USA. B. Sun, A. Podgurski and S. Ray (2010). Improving the Precision of Dependence-Based Defect Mining by Supervised Learning of Rule and Violation Graphs. In Proceedings of the 21st IEEE International Symposium on Software Reliability Engineering, San Jose, CA, USA. L. Hellerstein, B. Rosell, E. Bach, S. Ray and D. Page (2009). Exploiting Product Distributions to Identify Relevant Variables of Correlation Immune Functions. Journal of Machine Learning Research, vol 10(Oct):2374--2411. pdf Eric Bach's paper on improved bounds for the number of correlation-immune functions . N. Mehta, S. Ray, P. Tadepalli and T. Dietterich (2008). Automatic Discovery and Transfer of MAXQ Hierarchies. pdf Appears in the Proceedings of the 25th International Conference on Machine Learning, Helsinki, Finland. B. Settles, M. Craven and S. Ray (2007). Multiple-Instance Active Learning. pdf Appears in the Proceedings of the 21st Conference on Neural Information Processing Systems, Vancouver, BC, Canada. H. Chan, A. Fern, S. Ray, N. Wilson and C. Ventura (2007). Online Planning for Resource Production in Real-Time Strategy Games. pdf Appears in the Proceedings of the 17th International Conference on Automated Planning & Scheduling, Providence, RI, USA. E. Lantz, S. Ray and D. Page (2007). Learning Bayesian Network Structure from Correlation-Immune Data. pdf Appears in the Proceedings of the 23rd Conference on Uncertainty in Artificial Intelligence, Vancouver, BC, Canada. A. Wilson, A. Fern, S. Ray and P. Tadepalli (2007). Multi-task Reinforcement Learning: A Hierarchical Bayesian Approach. pdf ps.gz Appears in the Proceedings of the 24th International Conference on Machine Learning, Corvallis, OR, USA. J. Davis, V. S. Costa, S. Ray and D. Page (2007). An Integrated Approach to Feature Invention and Model Construction for Drug Activity Prediction. pdf ps.gz Appears in the Proceedings of the 24th International Conference on Machine Learning, Corvallis, OR, USA. S. Ray (2005). Learning from Data with Complex Interactions and Ambiguous Labels. ps pdf ps.gz PhD thesis, Department of Computer Sciences, University of Wisconsin-Madison, Madison, WI, USA. S. Ray & M. Craven (2005). Supervised versus Multiple-Instance Learning: An Empirical Comparison. ps pdf ps.gz Appears in the Proceedings of the 22nd International Conference on Machine Learning, Bonn, Germany. B. Rosell, L. Hellerstein, S. Ray & D. Page (2005). Why Skewing works: Learning Difficult Boolean Functions with Greedy Tree Learners. ps pdf ps.gz Appears in the Proceedings of the 22nd International Conference on Machine Learning, Bonn, Germany. S. Ray & D. Page (2005). Generalized Skewing for Functions with Continuous and Nominal Attributes. ps pdf ps.gz Appears in the Proceedings of the 22nd International Conference on Machine Learning, Bonn, Germany. S. Ray & M. Craven (2005). Learning Statistical Models for Annotating Proteins with Function Information using Biomedical Text. Appears in BMC Bioinformatics , Vol 6(Suppl 1). online ps pdf ps.gz S. Ray & D. Page (2004). Sequential Skewing: An Improved Skewing Algorithm. ps pdf ps.gz Appears in the Proceedings of the 21st International Conference on Machine Learning, Banff, Canada. D. Page & S. Ray (2003). Skewing: An Efficient Alternative to Lookahead for Decision Tree Induction. ps pdf ps.gz Appears in the Proceedings of the 18th International Joint Conference on Artificial Intelligence, Acapulco, Mexico. M. Skounakis, M. Craven & S. Ray (2003). Hierarchical Hidden Markov Models for Information Extraction. pdf Appears in the Proceedings of the 18th International Joint Conference on Artificial Intelligence, Acapulco, Mexico. S. Ray & M. Craven (2001). Representing Sentence Structure in Hidden Markov Models for Information Extraction. ps pdf ps.gz Appears in the Proceedings of the 17th International Joint Conference on Artificial Intelligence, Seattle, WA, USA. S. Ray & D. Page (2001). Multiple Instance Regression. ps pdf ps.gz Appears in the Proceedings of the 18th International Conference on Machine Learning, Williamstown, MA, USA. Workshop Publications M. Xu, Z. Jiang, Y. Chen, S. Ray (2018). A Multi-Representation Ensemble Approach to Detecting Vocal Diseases. Appears in the IEEE BigData Workshop on BigData Cup Challenges: FEMH Voice Data Challenge (3rd place award out of 109 teams participating). K. Liang, Z. Bai, M. C. Cavusoglu, A. Podgurski and S. Ray (2015). Fault Localization in Embedded Control System Software. pdf International Workshop on Software Engineering for Smart Cyber-Physical Systems, International Conference on Software Engineering (ICSE), Firenze, Italy. A. Wilson, A. Fern, S. Ray, P. Tadepalli (2008). Learning and Transferring Roles in Multi-Agent MDPs. pdf Transfer Learning for Complex Tasks Workshop, 23rd AAAI Conference on Artificial Intelligence, Chicago, USA. N. Mehta, M. Wynkoop, S. Ray, P. Tadepalli and T. Dietterich (2007). Automatic Induction of MAXQ Hierarchies. pdf Hierarchical Organization of Behavior Workshop, 21st Conference on Neural Information Processing Systems, Vancouver, BC, Canada. H. Chan, A. Fern, S. Ray, N. Wilson and C. Ventura (2007). Extending Online Planning for Resource Production in Real-Time Strategy Games with Search. pdf Workshop on Planning in Games, ICAPS 2007, Providence, RI, USA. Contributed Chapters S. Ray, S. Scott and H. Blockeel (2009). Multiple Instance Learning. Encyclopedia of Machine Learning, eds C. Sammut and G. Webb. Springer. ISBN: 978-0-387-30768-8, Springer. S. Ray and P. Tadepalli (2009). Model-based Reinforcement Learning. Encyclopedia of Machine Learning,eds C. Sammut and G. Webb. Springer. ISBN: 978-0-387-30768-8, Springer. Posters, Abstracts, Technical Reports and Other Publications M. Mehlman, J. W. Berg and S. Ray (2017). Robot Law. Case Legal Studies Research Paper No. 2017-1. Available at SSRN . Hong Lu, Martin Jakl, Zhao Wang, Kentaro Tanaka, Soumya Ray, Pavel Cervinka, Marco Costa, Andrew M. Rollins, Hiram G. Bezerra, and David L. Wilson (2014). Evaluation of Highly Automated Software for Analyzing Intravascular Optical Coherence Tomography Pullbacks of Stents. Poster at Transcatheter Cardiovascular Therapeutics, Washington DC, USA; to appear in the Journal of the American College of Cardiology (JACC) TCT Abstract Supplement. G. Doran and S. Ray (2012). Kernel methods for Multiple-Instance Learning. Poster at the 29th International Conference on Machine Learning, Edinburgh, Scotland. C-Y. Wu, S. Ray, K. P. Barry and A. I. Jack (2010). On Functional Annotation of the Human Brain by Combining Resting State Connectivity and Activation Foci. In the 40th Annual Meeting of the Society for Neuroscience, San Diego, CA, USA (poster). T. Ouyang, S. Ray, M. Allman and M. Rabinovich (2009). A Large Scale Empirical Analysis of Email Spam Detection Through Transport Level Characteristics. Technical Report TR 10-001, International Computer Science Institute, CA, USA. Miscellaneous Activities Profs. Ken Loparo and I designed the new undergraduate Data Science major at CWRU. I am serving on the Program Committees of AAAI 2018, AISTATS 2018 and IJCAI 2018. I am currently serving on the editorial board of Machine Learning journal. I am a current co-owner for the ML-news Google group. Code and Datasets Spam Filtering Datasets Information Extraction Datasets Gary's multiple-instance support vector machine code Strategy Engine for Programming Intelligent Agents (SEPIA) Machine Learning News Visit this group Home IIT Kharagpur UW-Computer Sciences Oregon State EECS Case Western EECS Last update 3/15/2017 by Soumya Ray diff --git a/src/data/compiled_bios/4458.txt b/src/data/compiled_bios/4458.txt new file mode 100644 index 0000000000..19f66bae92 --- /dev/null +++ b/src/data/compiled_bios/4458.txt @@ -0,0 +1 @@ + An Wang Assistant Professor, Electrical Engineering & Computer Science Contact Information: Office Location: Olin 407 Office Hours: Wed 2:00 pm - 4:00 pm Phone Number: 216 368 5525 Email: axw474@case.edu Website: http://engineering.case.edu/groups/an-wang Education: Ph.D in Computer Science, George Mason University, 2018 Research and Publications Research Interests: My research interests focus on network and system security , distributed system and software-defined networking (SDN) . The topics I have beenworking on include: Distributed Denial of Service attacks modeling and mitigation Programmable and flexible functions integration to software-defined networking architecture for security solutions IoT security and safety monitoring Recent Publications: Wang, A., Chang, W., Chen, S., Mohaisen, A. Delving into internet DDoS attacks by botnets: characterization and analysis . IEEE/ACM Transactions on Networking . 2018. Wang, A., Chang, W., Chen, S., Mohaisen, A. A Data-Driven Study of DDoS Attacks and Their Dynamics. IEEE Transactions on Dependable and Secure Computing . 2018. Zha, Z., Wang, A., Guo, Y., Montgomery, D.,Chen, S. Instrumenting Open vSwitch with Monitoring Capabilities: Designs and Challenges. In Proceedings of the Symposium on SDN Research. 2018. Liu, L., Wang, A., Zang, W., Yu, M.,Chen, S. Empirical Evaluation of the Hypervisor Scheduling on Side Channel Attacks. In IEEE International Conference on Communications (ICC) (pp. 1-6). 2018. Wang, A., Guo, Y., Chen, S., Hao, F., Lakshman, T. V., Montgomery, D., Sriram, K. vPROM: VSwitch enhanced programmable measurement in SDN. In Network Protocols (ICNP), IEEE 25th International Conference on (pp. 1-10). 2017. Wang, A., Mohaisen, A., Chen, S. An adversary-centric behavior modeling of ddos attacks. In Distributed Computing Systems (ICDCS), IEEE 37th International Conference on (pp. 1126-1136). IEEE. 2017. Chang, W., Mohaisen, A., Wang, A., Chen, S. Understanding Adversarial Strategies from Bot Recruitment to Scheduling. In International Conference on Security and Privacy in Communication Systems (pp. 397-417). Springer, Cham. 2017. : diff --git a/src/data/compiled_bios/4459.txt b/src/data/compiled_bios/4459.txt new file mode 100644 index 0000000000..240d4104dd --- /dev/null +++ b/src/data/compiled_bios/4459.txt @@ -0,0 +1 @@ + Xusheng Xiao Assistant Professor, Electrical Engineering & Computer Science Contact Information: Office Location: Olin 506 Phone Number: 216.368.0755 Email: xusheng.xiao@case.edu Website: http://engineering.case.edu/groups/xusheng-xiao Education: Ph.D. in Computer Science, North Carolina State University, 2009-2014 Visiting Student in Computer Science, University of Illinois at Urbana-Champaign, 20132014 Research and Publications Research Interests: My general research interests span between software engineering and computer security , with the focus on making software and computer systems more Reliable , Intelligent , Secure , and Efficient (RISE). We developed effective and scalable techniques that extract mobile app behaviors from different perspectives by analyzing multiple types of artifacts, including app code, app descriptions, API documents, app meta-data, and graphical user interfaces (GUI). Wedeveloped security data analytics techniques that automatically identify the causes and impacts of attacks andquery systems thatenable attack investigation usingsystem audit data. Wedeveloped static program analysis techniques and dynamic symbolic execution techniques to improve software testing ( ICSE'2011 , ASE'13 , ICSE'16 Edu , DSN'18 ), bug detection ( ISSTA'13 , ISSTA'14 ). Wealso developed text analysis techniques to improveaccess control policy extraction ( FSE'12 , ACSAC'14 ) andprecondition extraction fromAPI documents ( ICSE'12 ). Recent Publications: Xusheng Xiao , Xiaoyin Wang, Zhihao Cao, Hanlin Wang, and Peng Gao. IconIntent: Automatic Identification of Sensitive UI Widgets based on Icon Classification for Android Apps. In Proceedings of the 41st ACM/IEEE International Conference on Software Engineering( ICSE 2019 ), Montreal, Canada, May 2019. [PDF](Acceptance Rate: 20.6%, 109 out of 529). Yun Ma, Yangyang Huang, Ziniu Hu, Xusheng Xiao , and Xuanzhe Liu. Paladin: Automated Generation of Reproducible Test Cases for Android Apps. In Proceedings of the20th Workshop on Mobile Computing Systems and Applications( HotMobile 2019 ), Santa Cruz, CA, USA, Feb 2019. [PDF]. Peng Gao, Xusheng Xiao, Ding Li, Zhichun Li, Kangkook Jee, Zhenyu Wu, Chung Hwan Kim, Sanjeev R. Kulkarni, andPrateek Mittal. SAQL: A Stream-based Query System for Real-Time Abnormal System Behavior Detection . In Proceedings of the USENIX Security Symposium ( USENIX Security 2018 ) ,Boston, MA, USA, July 2018. [ Website ] Peng Gao, Xusheng Xiao, Zhichun Li, Kangkook Jee, Fengyuan Xu, Sanjeev R. Kulkarni, and Prateek Mittal. AIQL: Enabling Efficient Attack Investigation from System Monitoring Data . In Proceedings of the USENIX Annual Technical Conference( USENIX ATC 2018 ) ,Boston, MA, USA, July 2018. [ Demo Website ] Patrick Morrison, Rahul Pandita, Xusheng Xiao , Ram Chillarege, Laurie Williams. Are Vulnerabilities Discovered and Resolved Like Other Defects? In Proceedings of the 37th International Conference on Software Engineering ( ICSE 2018 ) , Journal First Paper,Gothenburg, Sweden, May 2018. Angello Astorga, Siwakorn Srisakaokul, Xusheng Xiao , and Tao Xie. PreInfer: Automatic Inference of Preconditions via Symbolic Analysis . In Proceedings of the 48th IEEE/IFIP International Conference on Dependable Systems and Networks( DSN 2018 ) , Luxembourg, June 2018. Patrick Morrison, Rahul Pandita, Xusheng Xiao , Ram Chillarege, Laurie Williams. Are Vulnerabilities Discovered and Resolved Like Other Defects? Empirical Software Engineering( EMSE ) , pages 1-39, 2017. Yujie Yuan, Lihua Xu, Xusheng Xiao , Andy Podguiski, Huibiao Zhu. RunDroid: Recovering Excution Call Graph for Android Applications . In Proceedings of the 11th joint meeting of the European Software Engineering Conference and the ACM SIGSOFT Symposium on the Foundations of Software Engineering( ESEC/FSE 2017 ) , Demonstrations Track, pages 949-953, Paderborn, Germany, September2017.[ PDF ][ Code ][ Video ] Zheng Dong, Yuchuan Liu, Husheng Zhou, Xusheng Xiao , Yu Gu, Lingming Zhang and Cong Liu. An Energy-efficient Offloading Framework with Predictable Temporal Correctness . In ACM/IEEE Symposium on Edge Computing ( SEC ) , SanJose, CA, October, 2017.[ PDF ] Dengfeng Li, Wing Lam, Wei Yang, Zhengkai Wu, Xusheng Xiao , Tao Xie. Towards Privacy-Preserving Mobile Apps: A Balancing Act. InProceedings of the Symposium and Bootcamp on the Science of Security( HotSoS 2017 ) , Hanover, Maryland, April 2017.[ PDF ] Zhang Xu, Zhenyu Wu, Zhichun Li, Kangkook Jee, Junghwan Rhee, Xusheng Xiao , Fengyuan Xu, Haining Wang, and Guofei Jiang. High Fidelity Data Reduction for Big Data Security Dependency Analyses . In Proceedings of the 23rd ACM Conference on Computer and Communications Security ( CCS 2016 ), Vienna, Austria, October2016. [ PDF ] Bo Zong, Xusheng Xiao , Zhichun Li, Zhenyu Wu, Zhiyun Qian, Xifeng Yan, Ambuj K. Singh, and Guofei Jiang. Behavior Query Discovery in System-Generated Temporal Graphs . In Proceedings of42nd International Conference on Very Large Data Bases ( VLDB 2016 ) ,pages 240-251,New Delhi, India, September 2016.[ PDF ] [ arXiv ] Sihan Li, Xusheng Xiao , Blake Bassett, Tao Xie, and Nikolai Tillmann. Measuring Code Behavioral Similarity for Programming and Software Engineering Education . In International Conference on Software Engineering ( ICSE 2016 ) , Education Track , May 2016.[ PDF ] Jianjun Huang, Zhichun Li, Xusheng Xiao , Zhenyu Wu, Kangjie Lu, Xiangyu Zhang, and Guofei Jiang. SUPOR: Precise and Scalable Sensitive User Input Detection for Android Apps . In Proceedings of the 24th USENIX Security Symposium ( USENIX Security 2015 ) , pages977-992,Washington, D.C., August 2015. [ PDF ](Acceptance Rate: 15.7%, 67 out of 426). Top 10 finalists for CSAW Best Paper Award Wei Yang, Xusheng Xiao , Benjamin Andow, Sihan Li, Tao Xie, and WilliamEnck. AppContext: Differentiating Malicious and Benign Mobile App Behaviors Under Context . In Proceedings of the 37th International Conference on Software Engineering ( ICSE 2015 ), pages303-313, Florence, Italy, May 2015. [ PDF ] (Acceptance Rate: 18.5%, 84 out of 452) . John Slankas, Xusheng Xiao , Laurie Williams, and Tao Xie. Relation Extraction for Inferring Access Control Rules from Natural Language Artifacts . InProceedings of the 2014 Annual Computer Security Applications Conference ( ACSAC 2014 ) ,pages366-375,New Orleans, Louisiana, USA, December 2014. [ PDF ] Xusheng Xiao ,Gogul Balakrishnan, Franjo Ivancic, Naoto Maeda, Aarti Gupta and Deepak Chhetri. ARC++: : Effective Typestate and Lifetime Dependency Analysis . In Proceedings of the 2014 International Symposium on Software Testing and Analysis ( ISSTA 2014 ) ,pages116-126,Bay Area,California, July 2014. [ PDF ] (Acceptance Rate: 28.1%, 36 out of 128). Xusheng Xiao , Shi Han, Tao Xie, and Dongmei Zhang. Context-Sensitive Delta Inference for Identifying Workload-Dependent Performance Bottlenecks . In Proceedings of the 2013 International Symposium on Software Testing and Analysis ( ISSTA 2013 ) ,pages 90-100,LuganoSwitzerland, July 2013.[ PDF ](Acceptance Rate: 32 /124 = 25.8%) Xusheng Xiao , Sihan Li, Tao Xie, and Nikolai Tillmann. Characteristic Studies of Loop Problems for Structural Test Generation via Symbolic Execution . In Proceedings of the 28th IEEE/ACM International Conference on Automated Software Engineering ( ASE 2013 ) ,pages 246-256,Palo Alto,California, November 2013. [ PDF ](Acceptance Rate: 17.0%, 43 / 254 = 17.0%). Rahul Pandita, Xusheng Xiao , Wei Yang, William Enck, and Tao Xie. WHYPER: Towards Automating Risk Assessment of Mobile Applications . In Proceedings of the 22nd USENIX Security Symposium ( USENIX Security 2013 ) ,pages 527-542,Washington DC, August 2013.[ PDF ](Acceptance Rate: 45 /277 = 16.2%) Xusheng Xiao, Amit Paradkar, Suresh Thummalapenta and Tao Xie. Automated Extraction of Security Policies from Natural-Language Software Documents . In Proceedings of the 20th ACM SIGSOFT International Symposium on the Foundations of Software Engineering ( FSE 2012 ), pages 12:1-12:11 , Research Triangle Park, North Carolina, USA, November 2012.[ PDF ][ Slides ](Acceptance Rate: 35 / 201 = 17.4%) Xusheng Xiao , Nikolai Tillmann, Manuel Fahndrich,Jonathan de Halleux, Michal Moskal. User-Aware Privacy Control via Extended Static-Information-Flow Analysis . In Proceedings ofthe27th IEEE/ACM International Conference on Automated Software Engineering 2012 ( ASE 2012 ),pages 80-89,Essen, Germany,September2012.[ PDF ](Acceptance Rate: 21 /138 = 15.2%) The static analysis engine based on this paper is integrated into TouchDevelop , Microsoft Research . This paper was invited for journal submission A US patent was granted for the work of this paper Rahul Pandita, Xusheng Xiao , Hao Zhong, Tao Xie, Stephen Oney, and Amit Paradkar.Inferring Method Specifications from Natural Language API Descriptions. In Proceedings ofthe34rd International Conference on Software Engineering ( ICSE 2012 ),pages 815-825,Zurich, Switzerland, June2012.[ PDF ](Acceptance Rate: 87 / 408 = 21.3%) Xusheng Xiao , Tao Xie, Nikolai Tillmann, and Jonathan de Halleux. Precise Identification of Problems for Structural Test Generation. In Proceedings ofthe33rd International Conference on Software Engineering ( ICSE 2011 ),pages 611-620,Honolulu, Hawaii, USA, May 2011.[ PDF ](Acceptance Rate: 62 / 442 = 14%) : diff --git a/src/data/compiled_bios/446.txt b/src/data/compiled_bios/446.txt new file mode 100644 index 0000000000..7aca27003a --- /dev/null +++ b/src/data/compiled_bios/446.txt @@ -0,0 +1 @@ +Dusit (Tao) Niyato, Ph.D., IEEE Fellow Professor School of Computer Science and Engineering (SCSE) and School of Physical and Mathematical Sciences (SPMS) Nanyang Technological University Mailing address: School of Computer Science and Engineering (SCSE) Nanyang Technological University Block N4-02a-32, Nanyang Avenue, Singapore 639798 Telephone: 65-6790-4121 Department fax: 65-6792-6559 Email: , Home page: http://www.ntu.edu.sg/home/dniyato Office: N4-02c-81 Map Education Doctor of Philosophy (September 2005 - July 2008), Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB, Canada Master of Science (September 2003 - August 2005), Electrical and Computer Engineering, University of Manitoba, Winnipeg, MB, Canada Bachelor of Engineering (June 1995 - April 1999), Computer Engineering, King Mongkut's Institute of Technology Ladkrabang (KMITL), Bangkok, Thailand Employment History September 2017 - Present: Professor, School of Computer Science and Engineering (SCSE), Nanyang Technological University (NTU), Singapore May 2016 - present: Courtesy appointment, School of Physical and Mathematical Sciences (SPMS), Nanyang Technological University (NTU), Singapore August 2013 - August 2017: Associate Professor, Networks and Distributed Systems, School of Computer Science and Engineering (SCSE), Nanyang Technological University (NTU), Singapore July 2008 - August 2013: Assistant Professor, Division of Computer Communications, School of Computer Engineering (SCE), Nanyang Technological University (NTU), Singapore Recognitions 2018, 2017 Highly Cited Researcher (Computer Science) , Clarivate Analytics (formerly Thomson Reuters) 2018 Best Paper Award - IEEE Communication Society: Green Communications & Computing Technical Committee IEEE Fellow (Class of 2017, through ComSoc) with the citation: "for contributions to resource allocation in cognitive radio and cellular wireless networks" 2016 Best Paper Award - IEEE International Conference on Communication Systems (ICCS) 2012 Best Young Researcher Award - The 7th IEEE Communications Society (ComSoc) Asia Pacific (AP) 2012 Best Paper Award - IEEE Wireless Communications and Networking Conference (WCNC) 2011 Best Paper Award - IEEE Communications Conference (ICC) The 2011 IEEE Communications Society Fred W. Ellersick Prize Paper Award 2016 Best Student Paper Award - ACM International Wireless Communications and Mobile Computing Conference (IWCMC) Distinguished Lecturer of the IEEE Communications Society (2016-2017) 2014, 2015 Exemplary Editor, IEEE Communications Surveys & Tutorials 2014 Exemplary Reviewer, IEEE Transactions on Communications Best Faculty Mentor, Temasek Foundation - LEaRN Programme Most Popular Lecturer (2010-2011), School of Computer Engineering Major Services Senior Editor, IEEE Wireless Communications Letter (WCL) Area Editor (Network and Service Management and Green Communication), IEEE Communications Surveys and Tutorials (COMST) Area Editor (Resource Management and Multiple Access, RMMA), IEEE Transactions on Wireless Communications (TWC) Associate Editor, IEEE Transactions on Mobile Computing (TMC) Associate Editor, IEEE Transactions on Cognitive Communications and Networking (TCCN) Editor, IEEE Transactions on Communications (TCOM) Editor, IEEE Transactions on Vehicular Technology (TVT) Publications Journal and IEEE Magazine Y. Jiao, P. Wang, D. Niyato , and K. Suankaewmanee, "Auction mechanisms in cloud/fog computing resource allocation for public blockchain networks," IEEE Transactions on Parallel and Distributed Systems , accepted. S. Gong, J. Xu, D. Niyato , X. Huang, and Z. Han, "Backscatter-aided cooperative relay communications in wireless-powered hybrid radio networks," IEEE Network , accepted. S. Feng, Z. Xiong, D. Niyato , and P. Wang, "Dynamic resource management to defend against advanced persistent threats in fog computing: A game theoretic approach," IEEE Transactions on Cloud Computing , accepted. X. Gao, P. Wang, D. Niyato , K. Yang, and J. An, "Auction-based time scheduling for backscatter-aided RF-powered cognitive radio network," IEEE Transactions on Wireless Communications , accepted. Z. Xiong, S. Feng, D. Niyato , P. Wang, A. Leshem, and Z. Han, "Joint sponsored and edge caching content service market: A game-theoretic approach," IEEE Transactions on Wireless Communications , accepted. J. Nie, J. Luo, Z. Xiong, D. Niyato , P. Wang, M. Guizani, "An incentive mechanism design for socially-aware crowdsensing services with incomplete information", IEEE Communications , accepted. J. Kang, Z. Xiong, D. Niyato , D. Ye, D. I. Kim, and J. Zhao, "Towards secure blockchain-enabled Internet of Vehicles: Optimizing consensus management using reputation and contract theory," IEEE Transactions on Vehicular Technology , accepted. J. Xu, Y. Zou, S. Gong, L. Gao, D. Niyato , and W. Cheng, "Robust transmissions in wireless powered multi-relay networks with chance interference constraints," IEEE Transactions on Communications , accepted. S. Feng, W. Wang, Z. Xiong, D. Niyato , P. Wang, and S. S. Wang, "On cyber risk management of blockchain networks: A game theoretic approach," IEEE Transactions on Services Computing , accepted. N. C. Luong, P. Wang, D. Niyato , Y.-C. Liang, F. Hou, and Z. Han, "Applications of economic and pricing models for resource management in 5G wireless networks: A survey," IEEE Communications Surveys and Tutorials , accepted. W. Wang, Z. Xiong, D. Niyato , P. Wang and Z. Han, "A hierarchical game with strategy evolution for mobile sponsored content and service markets," IEEE Transactions on Communications , accepted. S. F. Abedin, M. G. R. Alam, S. M. A. Kazmi, N. H. Tran, D. Niyato , and C. S. Hong, "Resource allocation for ultra-reliable and enhanced mobile broadband IoT applications in fog network," IEEE Transactions on Communications , accepted. L. Liu, D. Niyato , P. Wang, and Z. Han, "Scalable traffic management for mobile cloud services in 5G networks," IEEE Transactions on Network and Service Management , accepted. S. Sawadsitang, D. Niyato , P.-S. Tan, and P. Wang, "Joint ground and aerial package delivery services: A stochastic optimization approach," IEEE Transactions on Intelligent Transportation Systems , accepted. H.-B. Kong, I. Flint, P. Wang, D. Niyato , and N. Privault, "Fog radio access networks: Ginibre point process modeling and analysis," IEEE Transactions on Wireless Communications , accepted. N. V. Huynh, D. T. Hoang, X. Lu, D. Niyato , P. Wang, and D. I. Kim, "Ambient backscatter communications: A contemporary survey," IEEE Communications Surveys and Tutorials , accepted. H.-B. Kong, P. Wang, D. Niyato , and Y. Cheng, "Physical layer security in wireless networks with Ginibre point processes," IEEE Transactions on Wireless Communications , accepted. A. Ali, N. H. Tran, Z. Han, D. Niyato , F. Zeshan, K. S. Kwak, and D. Y. Suh, "RaptorQ-based efficient multimedia transmission over cooperative cellular cognitive radio networks," IEEE Transactions on Vehicular Technology , accepted. Z. Xiong, Y. Zhang, D. Niyato , P. Wang, and Z. Han, "When mobile blockchain meets edge computing", IEEE Communications , accepted. D. T. Hoang, D. Niyato , D. Nguyen, E. Dutkiewicz, P. Wang, and Z. Han, "A dynamic edge caching framework for mobile 5G networks," IEEE Wireless Communications , accepted. A. Asheralieva, T. Q.S. Quek, and D. Niyato , "An asymmetric evolutionary Bayesian coalition formation game for distributed resource sharing in device-to-device enabled heterogeneous networks," IEEE Transactions on Wireless Communications , accepted. X. Lu, D. Niyato , N. Privault, H. Jiang, and P. Wang, "Managing physical layer security in wireless cellular networks: A cyber insurance approach," IEEE Journal on Selected Areas in Communications , accepted. H. Hu, Y. Wen, L. Yin, L. Qiu, and D. Niyato , "Coordinating workload scheduling of geo-distributed data centers and electricity generation of smart grid," IEEE Transactions on Services Computing , accepted. J. Chase, D. Niyato , P. Wang, S. Chaisiri, and R. K. L. Ko, "A scalable approach to joint cyber insurance and security-as-a-service provisioning in cloud computing," IEEE Transactions on Dependable and Secure Computing , accepted. H. Zhang, Y. Xiao, S. Bu, R. Yu, D. Niyato , and Z. Han, "Distributed resource allocation for data center networks: A hierarchical game approach," IEEE Transactions on Cloud Computing , accepted. W. Wang, D. T. Hoang, D. Niyato , P. Wang and D. I. Kim, "Stackelberg game for distributed time scheduling in RF-powered backscatter cognitive radio networks," IEEE Transactions on Wireless Communications , vol. 17, no. 8, pp. 5606-5622, August 2018. W. Nie, V. C.S. Lee, S. Nutanong, D. Niyato , Y. Duan, and K. Liu, "A quality-oriented data collection scheme in vehicular sensor networks," IEEE Transactions on Vehicular Technology , vol. 67, no. 7, pp. 5570-5584, July 2018. W. Wang, A. Kwasinski, D. Niyato , and Z. Han, "Learning for robust routing based on stochastic game in cognitive radio networks," IEEE Transactions on Communications , vol. 66, no. 6, pp. 2588-2602, June 2018. S. Gong, X. Huang, J. Xu, W. Liu, P. Wang, and D. Niyato , "Backscatter relay communications powered by wireless energy beamforming," IEEE Transactions on Communications , vol. 66, no. 7, pp. 3187-3200, July 2018. X. Lu, D. Niyato , H. Jiang, P. Wang, and H. V. Poor, "Cyber insurance for heterogeneous wireless networks," IEEE Communications , vol. 56, no. 6, pp. 21-27, June 2018. X. Lu, D. Niyato , H. Jiang, D. I. Kim, Y. Xiao and Z. Han, "Ambient backscatter assisted wireless powered communications," IEEE Wireless Communications , vol. 25, no. 2, pp. 170-177, April 2018. X. Lu, H. Jiang, D. Niyato , D. I. Kim, and Z. Han, "Wireless-powered device-to-device communications with ambient backscattering: Performance modeling and analysis," IEEE Transactions on Wireless Communications , vol. 17, no. 3, pp. 1528-1544, March 2018. S. Phoemphon, C. So-In, D. Niyato , "A hybrid model using fuzzy logic and an extreme learning machine with vector particle swarm optimization for wireless sensor network localization," Applied Soft Computing , vol. 65, pp. 101-120, 2018. D. Niyato , D. I. Kim, M. Maso, and Z. Han, "Wireless powered communication networks: Research directions and technological approaches," IEEE Wireless Communications , vol. 24, no. 6, pp. 88-97, December 2017. N. C. Luong, D. T. Hoang, P. Wang, D. Niyato , and Z. Han, "Applications of economic and pricing models for wireless network security: A survey," IEEE Communications Surveys and Tutorials , vol. 19, no. 4, pp. 2735-2767, Fourth Quarter 2017. M. Saffar, H. Kebriaei, and D. Niyato , "Pricing and rate optimization of cloud radio access network using robust hierarchical dynamic game," IEEE Transactions on Wireless Communications , vol. 16, no. 11, pp. 7404-7418, November 2017. I. Flint, H.-B. Kong, N. Privault, P. Wang, and D. Niyato , "Analysis of heterogeneous wireless networks using Poisson hard-core hole process," IEEE Transactions on Wireless Communications , vol. 16, no. 11, pp. 7152-7167, November 2017. I. Flint, H.-B. Kong, N. Privault, P. Wang, and D. Niyato , "Wireless energy harvesting sensor networks: Boolean-Poisson modeling and analysis," IEEE Transactions on Wireless Communications , vol. 16, no. 11, pp. 7108-7122, November 2017. D. T. Hoang, D. Niyato , P. Wang, D. I. Kim, and Z. Han, "Ambient backscatter: A new approach to improve network performance for RF-powered cognitive radio networks," IEEE Transactions on Communications , vol. 65, no. 9, pp. 3659-3674, September 2017. T. LeAnh, N. H. Tran, W. Saad, L. B. Le, D. Niyato , T. M. Ho, and C. S. Hong, "Matching theory for distributed user association and resource allocation in cognitive femtocell networks," IEEE Transactions on Vehicular Technology , vol. 66, no. 9, pp. 8413-8428, September 2017. H. Zhang, Y. Zhang, Y. Gu, D. Niyato , and Z. Han, "A hierarchical game framework for resource management in fog computing," IEEE Communications , vol. 55, no. 8, pp. 52-57, 2017. F. Sangare, Y. Xiao, D. Niyato , and Z. Han, "Mobile charging in wireless-powered sensor networks: Optimal scheduling and experimental implementation," IEEE Transactions on Vehicular Technology , vol. 66, no. 8, pp. 7400-7410, August 2017. H.-B. Kong, P. Wang, D. Niyato , "Performance analysis of multi-hop relaying systems in an alpha-Ginibre field of interferers," IEEE Transactions on Vehicular Technology , vol. 66, no. 8, pp. 7573-7577, August 2017. T. Z. Oo, N. H. Tran, W. Saad, D. Niyato , Z. Han, and C. S. Hong, "Offloading in HetNet: A coordination of interference mitigation, user association and resource allocation," IEEE Transactions on Mobile Computing , vol. 16, no. 8, pp. 2276-2291, August 2017. R. Kaewpuang, D. Niyato , P.-S. Tan, and P. Wang, "Cooperative management in full-truckload and less-than-truckload vehicle system," IEEE Transactions on Vehicular Technology , vol. 66, no. 7, pp. 5707-5722, July 2017. Z. Zheng, L. Song, D. Niyato , and Z. Han, "Resource allocation in wireless powered relay networks: A bargaining game approach," IEEE Transactions on Vehicular Technology , vol. 66, no. 7, pp. 6310-6323, July 2017. M. A. Alsheikh, D. Niyato , S. Lin, H.-P. Tan, and D. I. Kim, "Fast adaptation of activity sensing policies in mobile devices," IEEE Transactions on Vehicular Technology , vol. 66, no. 7, pp. 5995-6008, July 2017. M. A. Alsheikh, S. Lin, H.-P. Tan, and D. Niyato , "Rate-distortion balanced data compression for wireless sensor networks," IEEE Sensors Journal , vol. 16, no. 12, pp. 5072-5083, June 15, 2016. M. A. Alsheikh, Y. Jiao, D. Niyato , P. Wang, D. Leong, and Z. Han, "The accuracy-privacy tradeoff of mobile crowdsensing," IEEE Communications , vol. 55, no. 6, pp. 132-139, 2017. J. Chase and D. Niyato , "Joint optimization of resource provisioning in cloud computing," IEEE Transactions on Services Computing , vol. 10, no. 3, pp. 396-409, May-June 1 2017. H.-B. Kong, P. Wang, D. Niyato , and Y. Cheng, "Modeling and analysis of wireless sensor networks using Ginibre point processes," IEEE Transactions on Wireless Communications , vol. 16, no. 6, pp. 3700-3713, June 2017. D. T. Hoang, D. Niyato , P. Wang, D. I. Kim, and L. B. Le, "Optimal data scheduling and admission control for backscatter sensor networks," IEEE Transactions on Communications , vol. 65, no. 5, pp. 2062-2077, May 2017. N. C. Luong, P. Wang, D. Niyato , W. Yonggang, and Z. Han, "Resource management in cloud networking using economic analysis and pricing models: A survey," IEEE Communications Surveys and Tutorials , vol. 19, no. 2, pp. 954-1001, Secondquarter 2017. M. A. Alsheikh, D. Niyato , D. Leong, P. Wang, and Z. Han, "Privacy management and optimal pricing in people-centric sensing," IEEE Journal on Selected Areas in Communications , vol. 35, no. 4, pp. 906-920, April 2017. Y. Zhang, D. Niyato , P. Wang, D. I. Kim, and Z. Han, "Optimal wireless energy charging for incentivized content transfer in mobile publish-subscribe networks," IEEE Transactions on Vehicular Technology , vol. 66, no. 4, pp. 3420-3434, April 2017. H. Hu, W. Yonggang, and D. Niyato , "Spectrum allocation and bitrate adjustment for mobile social video sharing: A potential game with online QoS learning approach," IEEE Journal on Selected Areas in Communications , vol. 35, no. 4, pp. 935-948, April 2017. D. Niyato , D. T. Hoang, P. Wang, and Z. Han, "Cyber insurance for plug-in electric vehicle (PEV) charging in vehicle-to-grid (V2G) systems," IEEE Network , vol. 31, no. 2, pp. 38-46, March/April 2017. H. Chen, B. An, D. Niyato , Y. Soh, and C. Miao, "Workload factoring and resource sharing via joint vertical and horizontal cloud federation networks," IEEE Journal on Selected Areas in Communications , vol. 35, no. 3, pp. 557-570, March 2017. H. Hu, Y. Wen, and D. Niyato , "Public cloud storage assisted mobile social video sharing: A supermodular game approach," IEEE Journal on Selected Areas in Communications , vol. 35, no. 3, pp. 545-556, March 2017. S.-C. Zhan and D. Niyato , "A coalition formation game for remote radio heads cooperation in cloud radio access network," IEEE Transactions on Vehicular Technology , vol. 66, no. 2, pp. 1723-1738, February 2017. H. Zhang, Y. Xiao, L. X. Cai, D. Niyato , L. Song, and Z. Han, "A multi-leader multi-follower Stackelberg game for resource management in LTE unlicensed," IEEE Transactions on Wireless Communications , vol. 16, no. 1, pp. 348-361, January. 2017. H.-B. Kong, I. Flint, P. Wang, D. Niyato , and N. Privault, "Exact performance analysis of ambient RF energy harvesting wireless sensor networks with Ginibre point process," IEEE Journal on Selected Areas in Communications , vol. 34, no. 12, pp. 3769-3784, Dec. 2016. N. C. Luong, D. T. Hoang, P. Wang, D. Niyato , D. I. Kim, and Z. Han, "Data collection and wireless communication in Internet of Things (IoT) using economic analysis and pricing models: A survey," IEEE Communications Surveys and Tutorials , vol. 18, no. 4, pp. 2546-2590, Fourthquarter 2016. A-L. Jin, W. Song, P. Wang, D. Niyato , and P. Ju, "Auction mechanisms toward efficient resource sharing for cloudlets in mobile cloud computing," IEEE Transactions on Services Computing , vol. 9, no. 6, pp. 895-909, November-December 2016. Y. Xiao, D. Niyato , P. Wang, and Z. Han, "Dynamic energy trading for wireless powered communication networks," IEEE Communications , vol. 54, no. 11, pp. 158-164, November 2016. W. Wang, A. Kwasinski, D. Niyato , and Z. Han, "A survey on applications of model-free strategy learning in cognitive wireless networks," IEEE Communications Surveys and Tutorials , vol. 18, no. 3, pp. 1717 - 1757, Thirdquarter 2016. H. Kebriaei, B. Maham, and D. Niyato , "Double-sided bandwidth-auction game for cognitive device-to-device communication in cellular networks," IEEE Transactions on Vehicular Technology , vol. 65, no. 9, pp. 7476-7487, September 2016. Y. Xiao, D. Niyato , K.-C. Chen, L. A. DaSilva, and Z. Han, "Enhance device-to-device communication with social-awareness: A belief-based stable marriage game framework," IEEE Wireless Communications , vol. 23, no. 4, pp. 36-44, August 2016. D. Niyato , X. Lu, P. Wang, D. I. Kim, and Z. Han, "Economics of Internet of Things: an information market approach," IEEE Wireless Communications , vol. 23, no. 4, pp. 136 - 145, August 2016. Z. Cao, H. Guo, J. Zhang, D. Niyato , and U. Fastenrath, "Improving the efficiency of stochastic vehicle routing: A partial Lagrange multiplier method," IEEE Transactions on Vehicular Technology , vol. 65, no. 6, pp. 3993-4005, June 2016. Z. Cao, H. Guo, J. Zhang, D. Niyato , and U. Fastenrath, "Finding the shortest path in stochastic vehicle routing: A Cardinality minimization approach," IEEE Transactions on Intelligent Transportation Systems , vol. 17, no. 6, pp. 1688-1702, June 2016. M. A. Alsheikh, D. Niyato , S. Lin, H.-P. Tan, and Z. Han, "Mobile big data analytics using deep learning and Apache Spark," IEEE Network , vol. 30, no. 3, pp. 22-29, May-June 2016. X. Lu, P. Wang, D. Niyato , D. I. Kim, and Z. Han, "Wireless charging technologies: Fundamentals, standards, and network applications," IEEE Communications Surveys and Tutorials , vol. 18, no. 2, pp. 1413-1452, Secondquarter 2016. X. Lu, I. Flint, D. Niyato , N. Privault, and P. Wang, "Self-sustainable communications with RF energy harvesting: Ginibre point process modeling and analysis," IEEE Journal on Selected Areas in Communications , vol. 34, no. 5, pp. 1518-1535, May 2016. Y. Zhang, D. Niyato , P. Wang, and D. I. Kim, "Optimal energy management policy of mobile energy gateway," IEEE Transactions on Vehicular Technology , vol. 65, no. 5, pp. 3685-3699, May 2016. D. Niyato , P. Wang, D. I. Kim, W. Saad, and Z. Han, "Mobile energy sharing networks: performance analysis and optimization," IEEE Transactions on Vehicular Technology , vol. 65, no. 5, pp. 3519-3535, May 2016. D. Niyato , D. T. Hoang, N. C. Luong, P. Wang, D. I. Kim, and Z. Han, "Smart data pricing models for the Internet of Things: A bundling strategy approach," IEEE Network , vol. 30, no. 2, pp. 18-25, March-April 2016. N. D. Duong, AS Madhukumar, and D. Niyato , "Stackelberg Bayesian game for power allocation in two-tier networks," IEEE Transactions on Vehicular Technology , vol. 65, no. 4, pp. 2341-2354, April 2016. H. Zhang, D. Niyato , L. Song, T. Jiang, and Z. Han, "Zero-determinant strategy for resource sharing in wireless cooperations," IEEE Transactions on Wireless Communications , vol. 15, no. 3, pp. 2179-2192, March 2016. Q. Dong, D. Niyato , P. Wang, and Z. Han, "The PHEV charging scheduling and power supply optimization for charging stations," IEEE Transactions on Vehicular Technology , vol. 65, no. 2, pp. 566-580, Feb. 2016. Y. Xiao, D. Niyato , Z. Han, and L. DaSilva, "Dynamic energy trading for energy harvesting communication networks: A stochastic energy trading game," IEEE Journal on Selected Areas in Communications , vol. 33, no. 12, pp. 2718-2734, December 2015. Y. Zhang, D. Niyato , and P. Wang, "Offloading in mobile cloudlet systems with intermittent connectivity," IEEE Transactions on Mobile Computing , vol. 14, no. 12, pp. 2516-2529, December 2015. P. Wang, W. Song, D. Niyato , and Y. Xiao, "QoS-aware cell association in 5G heterogeneous networks with massive MIMO," IEEE Network , vol. 29, no. 6, pp. 76-82, November-December 2015. X. Lu, P. Wang, D. Niyato , and Z. Han, "Resource allocation in wireless networks with RF energy harvesting and transfer," IEEE Network , vol. 29, no. 6, pp. 68-75, November-December 2015. D. T. Hoang, D. Niyato , P. Wang, and D. I. Kim, "Performance analysis of wireless energy harvesting cognitive radio networks under smart jamming attacks," IEEE Transactions on Cognitive Communications and Networking , vol. 1, no. 2, pp. 200-216, June 2015. D. T. Hoang, X. Lu, D. Niyato , P. Wang, D. I. Kim, and Z. Han, "Applications of repeated games in wireless networks: A survey," IEEE Communications Surveys and Tutorials , vol. 17, no. 4, pp. 2102-2135, Fourthquarter 2015. I. Flint, X. Lu, N. Privault, D. Niyato , and P. Wang, "Performance analysis of ambient RF energy harvesting with repulsive point process modeling," IEEE Transactions on Wireless Communications , vol. 14, no. 10, pp. 5402 - 5416, October 2015. M. A. Alsheikh, D. T. Hoang, D. Niyato , S. Lin, and H.-P. Tan, "Markov Decision Processes with applications in wireless sensor networks: A survey," IEEE Communications Surveys and Tutorials , vol. 17, no. 3, pp. 1239-1267, thirdquarter 2015. L. Militano, D. Niyato , M. Condoluci, G. Araniti, A. Iera, and G. M. Bisci, "Radio resource management for group-oriented services in LTE-A," IEEE Transactions on Vehicular Technology , vol. 64, no. 8, pp. 3725-3739, August 2015. D. Niyato , P. Wang, H. P. Tan, W. Saad, and D. I. Kim, "Cooperation in delay tolerant networks with wireless energy transfer: Performance analysis and optimization," IEEE Transactions on Vehicular Technology , vol. 64, no. 8, pp. 3740-3754, August 2015. D. T. Hoang, D. Niyato , P. Wang, and D. I. Kim, "Performance optimization for cooperative multiuser cognitive radio networks with RF energy harvesting capability," IEEE Transactions on Wireless Communications , vol. 14, no. 7, pp. 3614 - 3629, July 2015. X. Lu, D. Niyato , P. Wang, D. I. Kim, and Z. Han, "Wireless charger networking for mobile devices: Fundamentals, standards, and applications," IEEE Wireless Communications , vol. 22, no. 2, pp. 126 - 135, April 2015. X. Lu, P. Wang, D. Niyato , D. I. Kim, and Z. Han, "Wireless networks with RF energy harvesting: A contemporary survey," IEEE Communications Surveys and Tutorials , vol. 17, no. 2, pp. 757-789, Secondquarter 2015. C. Lee, P. Wang, and D. Niyato , "A real-time group auction system for efficient allocation of cloud Internet applications," IEEE Transactions on Services Computing , vol. 8, no. 2, pp. 251-268, March-April 2015. W. Xia, C. H. Foh, H. Xie, D. Niyato , and Y. Wen, "A survey on software-defined networking," IEEE Communications Surveys and Tutorials , vol. 17, no. 1, pp. 27-51, Firstquarter 2015. D. T. Hoang, D. Niyato , P. Wang, and D. I. Kim, "Opportunistic channel access and RF energy harvesting in cognitive radio networks," IEEE Journal on Selected Areas in Communications , vol. 32, no. 11, pp. 2039-2052, November 2014. M. A. Alsheikh, S. Lin, D. Niyato , H.-P. Tan, "Machine learning in wireless sensor networks: Algorithms, strategies, and applications," IEEE Communications Surveys and Tutorials , vol. 16, no. 4, pp. 1996-2018, Fourthquarter 2014. R. Kaewpuang, S. Chaisiri, D. Niyato , P. Wang, and B. S. Lee, "Cooperative virtual machine management in smart grid environment," IEEE Transactions on Services Computing , vol. 7, no. 4, pp. 545-560, October-December 2014. Z. Kun, E. Hossain, and D. Niyato , "Pricing, spectrum sharing, and service selection in two-tier small cell networks: A hierarchical dynamic game approach," IEEE Transactions on Mobile Computing , vol.13, no.8, pp.1843,1856, August 2014. D. Niyato , P. Wang, and D. I. Kim, "Performance analysis and optimization of TDMA network with wireless energy transfer," IEEE Transactions on Wireless Communications , vol. 13, no. 8, pp. 4205 - 4219, August 2014. L. Song, D. Niyato , Z. Han, and E. Hossain, "Game-theoretic resource allocation methods for device-to-device (D2D) communication," IEEE Wireless Communications , vol. 21, no. 3, pp. 136-144, June 2014. X. Lu, P. Wang, D. Niyato , and E. Hossain, "Dynamic spectrum access in cognitive radio networks with RF energy harvesting," IEEE Wireless Communications , vol. 21, no. 3, pp. 102-110, June 2014. D. Niyato and P. Wang, "Delay-limited communications of mobile node with wireless energy harvesting: Performance analysis and optimization," IEEE Transactions on Vehicular Technology , vol. 63, no. 4, pp. 1870-1885, May 2014. D. Niyato , P. Wang, and D. I. Kim, "Performance modeling and analysis of heterogeneous machine type communications," IEEE Transactions on Wireless Communications , vol. 13, no. 5, pp. 2836-2849, May 2014. Y. Xiao, D. Niyato , Z. Han, and K.-C. Chen, "Secondary users entering the pool: A joint optimization framework for spectrum pooling," IEEE Journal on Selected Areas in Communications , vol. 32, no. 3, pp. 572-588, March 2014. X. Lu, P. Wang, and D. Niyato , "A layered coalitional game framework of wireless relay network," IEEE Transactions on Vehicular Technology , vol. 63, no. 1, pp. 472-478, January 2014. R. Kaewpuang, D. Niyato , P. Wang, and E. Hossain, "A framework for cooperative resource management in mobile cloud computing," IEEE Journal on Selected Areas in Communications , vol. 31, no. 12, pp. 2685-2700, December 2013. S. Guruacharya, D. Niyato , M. Bennis, and D. I. Kim, "Dynamic coalition formation for network MIMO in small cell networks," IEEE Transactions on Wireless Communications , vol. 12, no. 10, pp. 5360-5372, October 2013. Y. Zhang, C. Lee, D. Niyato , and P. Wang, "Auction approaches for resource allocation in wireless systems: A survey," IEEE Communications Surveys and Tutorials , vol. 15, no. 3, pp. 1020-1041, Third Quarter 2013. Y. Li, P. Wang, and D. Niyato , "A hierarchical cooperation formation model for downlink data transmission in mobile infostation networks," IEEE Wireless Communications , vol. 20, no. 3, pp. 144-152, June 2013. M. Hosan, E. Hossain, and D. Niyato , "Random access for machine-to-machine communication in LTE-Advanced networks: Issues and approaches," IEEE Communications , vol. 51, no. 6, pp. 86-93, June 2013. K. Akkarajitsakul, E. Hossain, and D. Niyato , "Cooperative packet delivery in hybrid wireless mobile networks: A coalitional game approach," IEEE Transactions on Mobile Computing , vol. 12, no. 5, pp. 840-854, May 2013. S. Guruacharya, D. Niyato , D. I. Kim, and E. Hossain, "Hierarchical competition for downlink power allocation in OFDMA femtocell networks," IEEE Transactions on Wireless Communications , vol. 12, no. 4, pp. 1543-1553, April 2013. D. Niyato , Q. Dong, P. Wang, and E. Hossain, "Optimizations of power consumption and supply in the smart grid: Analysis of the impact of data communication reliability," IEEE Transactions on Smart Grid , vol. 4, no. 1, pp. 21-35, March 2013. K. Akkarajitsakul, E. Hossain, and D. Niyato , "Coalition-based cooperative packet delivery under uncertainty: A dynamic Bayesian coalitional game," IEEE Transactions on Mobile Computing , vol. 12, no. 2, pp. 371-385, February 2013. L. B. Le, D. Niyato , E. Hossain, D. I. Kim, and D. T. Hoang, "QoS-aware and energy-efficient resource management in OFDMA femtocells," IEEE Transactions on Wireless Communications , vol. 12, no. 1, pp. 180-194, January 2013. D. Niyato , X. Lu, and P. Wang, "Adaptive power management for wireless base stations in a smart grid environment," IEEE Wireless Communications , vol. 19, no. 6, pp. 44-51, December 2012. Y. Zhang, D. Niyato , P. Wang, and E. Hossain, "Auction-based resource allocation in cognitive radio systems," IEEE Communications , vol. 50, no. 11, pp. 108-120, November 2012. Z. Yuan, D. Niyato , H. Li, J. B. Song, and Z. Han, "Defeating primary user emulation attacks using belief propagation in cognitive radio networks" IEEE Journal on Selected Areas in Communications , vol. 30, no. 10, pp. 1850 - 1860, November 2012. Y. Xiao, G. Bi, D. Niyato and L. A. DaSilva, "A hierarchical game theoretic framework for cognitive radio networks," IEEE Journal on Selected Areas in Communications , vol. 30, no. 10, pp. 2053 - 2069, November 2012. Z. Kun, D. Niyato , and P. Wang, "Dynamic service selection and bandwidth allocation in IEEE 802.16m mobile relay networks," IEEE Journal on Selected Areas in Communications , vol. 30, no. 9, pp. 1798-1805, October 2012. D. Niyato , P. Wang, and E. Hossain, "Reliability analysis and redundancy design of smart grid wireless communications system for demand side management," IEEE Wireless Communications , vol. 19, no. 3, pp. 38 - 46, June 2012. H. Dong, P. Wang, and D. Niyato , "A dynamic offloading algorithm for mobile computing," IEEE Transactions on Wireless Communications , vol. 11, no. 6, pp. 1991-1995, June 2012. V. K. Tumuluru, P. Wang, D. Niyato , and W. Song, "Performance analysis of cognitive radio spectrum access with prioritized traffic," IEEE Transactions on Vehicular Technology , vol. 61, no. 4, pp. 1895-1906, May 2012. D. Niyato and P. Wang, "Cooperative transmission for meter data collection in smart grid," IEEE Communications , vol. 50, no. 4, pp. 90-97, April 2012. S. Chaisiri, B. S. Lee, and D. Niyato , "Optimization of resource provisioning cost in cloud computing," IEEE Transactions on Services Computing , vol. 5, no. 2, pp. 164-177, April-June 2012. Z. Kun, D. Niyato , P. Wang, and Z. Han, "Dynamic spectrum leasing and service selection in spectrum secondary market of cognitive radio networks," IEEE Transactions on Wireless Communications , vol. 11, no. 3, pp. 1136-1145, March 2012. N. Kayastha, D. Niyato , P. Wang, and E. Hossain, "Applications, architectures, and protocol design issues for mobile social networks: A survey," Proceedings of the IEEE , vol. 99, no. 12, pp. 2130-2158, December 2011. Y. Xiao, G. Bi, and D. Niyato , "A simple distributed power control algorithm for cognitive radio networks," IEEE Transactions on Wireless Communications , vol. 10, no. 11, pp. 3594-3600, November 2011. T. Guo, C. H. Foh, J. Cai, D. Niyato , and Eric W. M. Wong, "Performance evaluation of IPTV over wireless home networks," IEEE Transactions on Multimedia , vol. 13, no. 5, pp. 1116-1126, October 2011. K. Akkarajitsakul, E. Hossain, and D. Niyato , "Distributed Resource allocation in wireless networks under uncertainty and application of Bayesian game," IEEE Communications , vol. 49, no. 8, pp. 120-127, August 2011. X. Zhou, D. Niyato , and A. Hjrungnes, "Optimizing training-based transmission against smart jamming," IEEE Transactions on Vehicular Technology , vol. 60, no. 6, pp. 2644-2655, July 2011. K. Akkarajitsakul, E. Hossain, D. Niyato , and D. I. Kim, "Game theoretic approaches for multiple access in wireless networks: A survey," IEEE Communications Surveys and Tutorials , vol. 13, no. 3, pp. 372-395, Third Quarter 2011. D. Niyato , P. Wang, W. Saad, and A. Hjrungnes, "Controlled coalitional games for cooperative mobile social networks," IEEE Transactions on Vehicular Technology , vol. 60, no. 4, pp. 1812-1824, May 2011. Y. Xiao, G. Bi, and D. Niyato , "Game theoretic analysis for spectrum sharing with multi-hop relaying," IEEE Transactions on Wireless Communications , vol. 10, no. 5, pp. 1527-1537, May 2011. V. K. Tumuluru, P. Wang, and D. Niyato , "A novel spectrum scheduling scheme for multi-channel cognitive radio network and performance analysis," IEEE Transactions on Vehicular Technology , vol. 60, no. 4, pp. 1849-1858, May 2011. D. Niyato , X. Lu, and P. Wang, "Machine-to-machine communications for home energy management system in smart grid," IEEE Communications , vol. 49, no. 4, pp. 53-59, April 2011. D. Niyato , E. Hossain, and P. Wang, "Optimal channel access management with QoS support for cognitive vehicular networks," IEEE Transactions on Mobile Computing , vol. 10, no. 4, pp. 573-591, February 2011. W. Saad, A. Hjrungnes, Z. Han, D. Niyato , and E. Hossain, "Coalition formation games for distributed cooperation among roadside units in vehicular networks," IEEE Journal on Selected Areas in Communications , vol. 29, no. 1, pp. 48-60, December 2010. D. Niyato , P. Wang, E. Hossain, W. Saad, and A. Hjrungnes, "Exploiting mobility diversity in sharing wireless access: A game theoretic approach," IEEE Transactions on Wireless Communications , vol. 9, no. 12, pp. 3866-3877, October 2010. H. Yu, Z. Shen, C. Miao, C. Leung, and D. Niyato , "A survey of trust and reputation management systems in wireless communications," Proceedings of the IEEE , vol. 98, no. 10, pp. 1755-1772, October 2010. P. Phunchongharn, D. Niyato , E. Hossain, and S. Camorlinga, "An EMI-aware prioritized wireless access scheme for e-Health applications in hospital environments," IEEE Transactions on Information Technology in BioMedicine , vol. 14, no. 5, pp. 1247-1258, September 2010. D. Niyato and E. Hossain, "A unified framework for optimal wireless access for data streaming over vehicle-to-roadside communications," IEEE Transactions on Vehicular Technology , vol. 59, no. 6, pp. 3025-3035, July 2010. D. Niyato and E. Hossain, "A microeconomic model for hierarchical bandwidth sharing in dynamic spectrum access networks," IEEE Transactions on Computers , vol. 59, no. 7, pp. 865-877, July 2010. P. Wang, D. Niyato , and H. Jiang "Voice-service capacity analysis for cognitive radio networks," IEEE Transactions on Vehicular Technology , vol. 59, no. 4, pp. 1779 - 1790, May 2010. P. Phunchongharn, D. Niyato , S. Camorlinga, and E. Hossain, "A cognitive radio system for e-health applications in a hospital environment," IEEE Wireless Communications , vol. 17, no. 1, pp. 20-28, February 2010. D. Niyato , E. Hossain, D. I. Kim, and Z. Han, "Relay-centric radio resource management and network planning in IEEE 802.16j mobile multihop relay networks," IEEE Transactions on Wireless Communications , vol. 8, no. 12, pp. 6115-6125, December 2009. D. Niyato and P. Wang, "Optimization of the mobile router and traffic sources in vehicular delay-tolerant network," IEEE Transactions on Vehicular Technology , vol. 58, no. 9, pp. 5095-5104, November 2009. D. Niyato , E. Hossain, and D. I. Kim, "Joint admission control and antenna assignment for multiclass QoS in spatial multiplexing MIMO wireless networks," IEEE Transactions on Wireless Communications , vol. 8, no. 9, pp. 4855-4865, September 2009. D. Niyato , E. Hossain, and Z. Han, "Dynamics of multiple-seller and multiple-buyer spectrum trading in cognitive radio networks: A game-theoretic modeling approach," IEEE Transactions on Mobile Computing , vol. 8, no. 8, pp. 1009-1022, August 2009. D. Niyato , E. Hossain, and S. Camorlinga, "Remote patient monitoring service using heterogeneous wireless access networks: Architecture and optimization," IEEE Journal on Selected Areas in Communications , vol. 27, no. 4, pp. 412-423, May 2009. D. Niyato and E. Hossain, "Dynamics of network selection in heterogeneous wireless networks: An evolutionary game approach," IEEE Transactions on Vehicular Technology , vol. 58, no. 4, pp. 2008-2017, May 2009. D. Niyato , E. Hossain, and Z. Han, "Dynamic spectrum access in IEEE 802.22-based cognitive wireless networks: a game theoretic model for competitive spectrum bidding and pricing," IEEE Wireless Communications , vol. 16, no. 2, pp. 16-23, April 2009. D. Niyato and E. Hossain, "Cognitive radio for next generation wireless networks: An approach to opportunistic channel selection in IEEE 802.11-based wireless mesh," IEEE Wireless Communications , vol. 16, no. 1, pp. 46 - 54, February 2009. D. Niyato and E. Hossain, "A game theoretic analysis of service competition and pricing in heterogeneous wireless access networks," IEEE Transactions on Wireless Communications , vol. 7, no. 12, pp. 5150-5155, December 2008. D. Niyato and E. Hossain, "Spectrum trading in cognitive radio networks: A market-equilibrium-based approach," IEEE Wireless Communications , vol. 15, no. 6, pp. 71-80, December 2008. D. Niyato and E. Hossain, "Competitive pricing in heterogeneous wireless access networks: Issues and approaches," IEEE Network , vol. 22, no. 6, pp. 4-11, November-December 2008. D. Niyato and E. Hossain, "Market-equilibrium, competitive, and cooperative pricing for spectrum sharing in cognitive radio networks: Analysis and comparison," IEEE Transactions on Wireless Communications , vol. 7, no. 11, Part 1, pp. 4273 - 4283, November 2008. D. Niyato and E. Hossain, "Competitive spectrum sharing in cognitive radio networks: A dynamic game approach," IEEE Transactions on Wireless Communications , vol. 7, no. 7, 2651-2660, July 2008. D. Niyato and E. Hossain, "A noncooperative game-theoretic framework for radio resource management in 4G heterogeneous wireless access networks," IEEE Transactions on Mobile Computing , vol. 7, no. 3, pp. 332 - 345, March 2008. D. Niyato and E. Hossain, "Competitive pricing for spectrum sharing in cognitive radio networks: Dynamic game, inefficiency of Nash equilibrium, and collusion," IEEE Journal on Selected Areas in Communications , vol. 26, no. 1, pp. 192-202, January 2008. D. Niyato and E. Hossain, "Radio resource management in MIMO-OFDM-mesh networks: issues and approaches," IEEE Communications , vol. 45, no. 11, pp. 100-107, November 2007. D. Niyato , E. Hossain, and V. K. Bhargava, "Scheduling and admission control in power-constrained OFDM wireless mesh routers: Analysis and optimization," IEEE Transactions on Wireless Communications , vol. 6, no. 10, pp. 3738-3748, October 2007. D. Niyato , M.M. Rashid, E. Hossain, and V.K. Bhargava, "Wireless sensor networks with energy harvesting technologies: A game-theoretic approach to optimal energy management," IEEE Wireless Communications , vol. 14, no. 4, pp. 90-96, August 2007. D. Niyato and E. Hossain, "Integration of IEEE 802.11 WLANs with IEEE 802.16-based multihop infrastructure mesh/relay networks: A game-theoretic approach to radio resource management," IEEE Network , vol. 21, no. 3, pp. 6-14, May-June 2007. D. Niyato and E. Hossain, "Integration of WiMAX and WiFi: Optimal pricing for bandwidth sharing," IEEE Communications , vol. 45, no. 5, pp. 140-146, May 2007. D. Niyato and E. Hossain, "A novel analytical framework for integrated cross-layer study of call-level and packet-level QoS in wireless mobile multimedia networks," IEEE Transactions on Mobile Computing , vol. 6, no. 3, pp. 322-335, March 2007. D. Niyato , E. Hossain and A. Fallahi, "Sleep and wakeup strategies in solar-powered wireless sensor/mesh networks: Performance analysis and optimization," IEEE Transactions on Mobile Computing , vol. 6, no. 2, pp. 221 - 236, February 2007. D. Niyato , E. Hossain, and J. Diamond, "IEEE 802.16/WiMAX-based broadband wireless access and its application for telemedicine/e-health services," IEEE Wireless Communications , vol. 14, no. 1, pp. 72-83, February 2007. D. Niyato and E. Hossain, "Radio resource management games in wireless networks: An approach to bandwidth allocation and admission control for polling service in IEEE 802.16," IEEE Wireless Communications , vol. 14, no. 1, pp. 27-35, February 2007. D. Niyato and E. Hossain, "Service differentiation in broadband wireless access networks with scheduling and connection admission control: A unified analysis," IEEE Transactions on Wireless Communications , vol. 6, no. 1, pp. 293-301, January 2007. D. Niyato and E. Hossain, "Call-level and packet-level quality of service and user utility in rate-adaptive cellular CDMA networks: A queuing analysis," IEEE Transactions on Mobile Computing , vol. 5, no. 12, pp. 1749-1763, December 2006. D. Niyato and E. Hossain, "A queuing-theoretic and optimization-based model for radio resource management in IEEE 802.16 broadband wireless networks," IEEE Transactions on Computers , vol. 55, no. 11, pp. 1473-1488, November 2006. D. Niyato and E. Hossain, "Adaptive fair subcarrier/rate allocation in multirate OFDMA networks: Radio link level queuing performance analysis," IEEE Transactions on Vehicular Technology , vol. 55, no. 6, pp. 1897-1907, November 2006. D. Niyato and E. Hossain, "Queue-aware uplink bandwidth allocation and rate control for polling service in IEEE 802.16 broadband wireless networks," IEEE Transactions on Mobile Computing , vol. 5, no. 6, pp. 668-679, June 2006. D. Niyato and E. Hossain, "Call admission control for QoS provisioning in 4G wireless networks: issues and approaches," Special Issue of IEEE Network on "4G Network Technologies for Mobile Telecommunications," vol. 19, no. 5, pp. 5-11, September-October 2005. W. Wang, D. T. Hoang, P. Hu, Z. Xiong, D. Niyato , P. Wang, Y. Wen, and D. I. Kim, "A survey on consensus mechanisms and mining strategy management in blockchain networks," IEEE Access , accepted. Y. Chang, X. Yuan, B. Li, D. Niyato , and N. Al-Dhahir, "Machine-learning-based parallel genetic algorithms for multi-object optimization in ultra-reliable and low-latency WSNs," IEEE Access , accepted. Y. Zhang, Z. Xiong, D. Niyato , P. Wang, and D. I. Kim, "Towards a perpetual IoT system: Wireless power management policy with threshold structure," IEEE Internet of Things Journal , accepted. Z. Xiong, S. Feng, W. Wang, D. Niyato , P. Wang, and Z. Han, "Cloud/fog computing resource management and pricing for blockchain networks," IEEE Internet of Things Journal , accepted. Y. Chang, X. Yuan, B. Li, D. Niyato , and N. Al-Dhahir, "A joint unsupervised learning and genetic algorithm approach for topology control in energy-efficient ultra-dense wireless sensor networks," IEEE Communications Letters , accepted. N. V. Huynh, D. T. Hoang, D. Niyato , P. Wang, and D. I. Kim, "Optimal time scheduling for wireless-powered backscatter communication networks," IEEE Wireless Communications Letters , accepted. X. Liu, W. Wang, D. Niyato , N. Zhao, and P. Wang, "Evolutionary game for mining pool selection in blockchain networks," IEEE Wireless Communications Letters , accepted. A. Ndikumana, N. H. Tran, T. M. Ho, D. Niyato , Z. Han, and C. S. Hong, "Joint incentive mechanism for paid content caching and price based cache replacement policy in named data networking," IEEE Access , vol. 6, pp. 33702-33717, 2018. Y. Jiao, P. Wang, S. Feng, and D. Niyato , "Profit maximization mechanism and data management for data analytics services," IEEE Internet of Things Journal , vol. 5, no. 3, pp. 2001-2014, June 2018. S. Maghsudi and D. Niyato , "On power-efficient planning in dynamic small cell networks," IEEE Wireless Communications Letters , vol. 7, no. 3, pp. 304-307, June 2018. S. Maghsudi and D. Niyato , "On transmission mode selection in D2D-enhanced small cell networks," IEEE Wireless Communications Letters , vol. 6, no. 5, pp. 618-621, October 2017. H. Zhang, Y. Xiao, S. Bu, D. Niyato , R. Yu, and Z. Han, "Computing resource allocation in three-tier IoT fog networks: A joint optimization approach combining Stackelberg game and matching," IEEE Internet of Things Journal , vol. 4, no. 5, pp. 1204-1215, October 2017. A. E. Shafie, D. Niyato , R. Hamila, and N. Al-Dhahir, "Impact of the wireless networks PHY security and reliability on demand-side management cost in the smart grid," IEEE Access , vol. 5, pp. 5678-5689, 2017. H. Guo, Z. Cao, J. Zhang, D. Niyato , M. Seshadri, and U. Fastenrath, "Routing multiple vehicles cooperatively: Minimizing road network breakdown probability," IEEE Transactions on Emerging Topics in Computational Intelligence , vol. 1, no. 2, pp. 112-124, April 2017. D. T. Hoang, P. Wang, D. Niyato , and E. Hossain, "Charging and discharging of plug-in electric vehicles (PEVs) in vehicle-to-grid (V2G) systems: A cyber insurance-based model," IEEE Access , vol. 5, pp. 732-754, 2017. A. E. Shafie, D. Niyato , and N. Al-Dhahir, "Security of an ordered-based distributive jamming scheme," IEEE Communications Letters , vol. 21, no. 1, pp. 72-75, January 2017. A. E. Shafie, D. Niyato , and N. Al-Dhahir, "Security of rechargeable energy-harvesting transmitters in wireless networks," IEEE Wireless Communications Letters , vol. 5, no. 4, pp. 384-387, August 2016. A. E. Shafie, D. Niyato , and N. Al-Dhahir, "Artificial-noise-aided secure MIMO full-duplex relay channels with fixed-power transmissions," IEEE Communications Letters , vol. 20, no. 8, pp. 1591-1594, August 2016. A. El Shafie, D. Niyato , and N. Al-Dhahir, "Enhancing the PHY-layer security of MIMO buffer-aided relay networks," IEEE Wireless Communications Letters , vol. 5, no. 4, pp. 400-403, August 2016. Y. Zhang, L. Liu, Y. Gu, D. Niyato , M. Pan, and Z. Han, "Offloading in software defined network at edge with information asymmetry: A contract theoretical approach," Journal of Signal Processing Systems , vol. 83, no. 2, pp. 241-253, May 2016. A. M. El-Hajj, D. Niyato , and Z. Dawy, "A DEC-MDP model for joint uplink/downlink resource management in OFDMA-based networks," Physical Communication , vol. 17, pp. 107-117, December 2015. Q. Dong, D. Niyato , P. Wang, and Z. Han, "Deferrable load scheduling under imperfect data communication channel," Wireless Communications and Mobile Computing (WCMC) , vol. 15, no. 17, pp. 20492064, December 2015. E. Hossain, D. Niyato , and D. I. Kim, "Evolution and future trends of research in cognitive radio: A contemporary survey," Wireless Communications and Mobile Computing (WCMC) , vol. 15, no. 11, pp. 1530-1564, August 2015. Y. Li, P. Wang, D. Niyato , and W. Zhuang, "A hierarchical framework of dynamic relay selection for mobile users and profit maximization for service providers in wireless relay networks," Wireless Communications and Mobile Computing (WCMC) , vol. 14, no. 12, pp. 1113-1126, August 2014. N. Kayastha, D. Niyato , E. Hossain, and Z. Han "Smart grid sensor data collection, communication, and networking: A tutorial," Wireless Communications and Mobile Computing (WCMC) , vol. 14, no. 11, pp. 1055-1087, August 2014. Q. Dong, D. Niyato , and P. Wang, "Medium access control for dynamic spectrum access in cognitive radio networks: Analysis under uncertainty," Wireless Communications and Mobile Computing (WCMC) , vol. 14, no. 5, pp. 526540, April 2014. D. T. Hoang, C. Lee, D. Niyato , and P. Wang, "A survey of mobile cloud computing: Architecture, applications, and approaches," Wireless Communications and Mobile Computing (WCMC) , vol. 13, no. 18, pp. 15871611, December 2013. V. K. Tumuluru, P. Wang, and D. Niyato , "Channel status prediction for cognitive radio networks," Wireless Communications and Mobile Computing (WCMC) , vol. 12, no. 10, pp. 862874, July 2012. R. Kaewpuang, D. Niyato , and P. Wang, "Decomposition of stochastic power management for wireless base station in smart grid," IEEE Wireless Communications Letter , vol. 1, no. 2, pp. 97-100, April 2012. Z. Kun, D. Niyato , P. Wang, E. Hossain, and D. I. Kim, "Mobility and handoff management in vehicular networks: A survey," Wireless Communications and Mobile Computing (WCMC) , vol. 11, no. 4, pp. 459476, April 2011. D. Niyato and E. Hossain, "QoS-aware bandwidth allocation and admission control in IEEE 802.16 broadband wireless access networks: A noncooperative game theoretic approach," Elsevier Computer Networks , vol. 51, no. 11, pp. 3305-3321, August 2007. Books D. Niyato , E. Hossain, D. Kim, V. Bhargava, L. Shafai, Wireless Powered Communication Networks: Architectures, Protocols, and Applications , Cambridge University Press, 2016. L. Song, D. Niyato , Z. Han, and E. Hossain, Wireless Device-to-Device Communications and Networks , Cambridge University Press, 2015. E. Hossain, L. B. Le, and D. Niyato , Resource Management in Multi-Tier Cellular Wireless Networks , Wiley, 2013 . Z. Han, D. Niyato , W. Saad, T. Basar, and A. Hjrungnes, Game Theory in Wireless and Communication Networks: Theory, Models, and Applications , Cambridge University Press 2011 . E. Hossain, D. Niyato , and Z. Han, Dynamic Spectrum Access and Management in Cognitive Radio Networks , Cambridge University Press 2009 . Book Chapter X. Lu, D. Niyato , and P. Wang, "Power management for wireless base station in smart grid environment: Modeling and optimization," invited chapter in Green Radio Communication Networks , (Eds. E. Hossain, V. K. Bhargava, and G. Fettweis), Cambridge University Press, 2012. N. Kayastha, D. Niyato , P. Wang, and E. Hossain, "Communication networks in smart grid: An architectural view," invited chapter in Smart Grid Communications and Networks , (Eds. E. Hossain, Z. Han, and H. V. Poor), Cambridge University Press, 2012. D. Niyato , E. Hossain, and T. Issariyakul, "An adaptive WiFi/WiMAX networking platform for cognitive vehicular networks," invited chapter in Cognitive Radio Mobile Ad Hoc Networks (CR-MANETs) , (Eds. F. R. Yu and H. Tang), Springer, 2011. D. Niyato , E. Hossain, and M. Hassan "Game-theoretic models for vehicular networks" invited chapter in Game Theory for Wireless Communications and Networking , (Eds. Y. Zhang and M. Guizani), Auerbach Publications, CRC Press 2010. D. Niyato and E. Hossain, "Subchannel allocation and connection admission control in OFDMA-based IEEE 802.16/WiMAX-compliant infrastructure wireless mesh networks," invited chapter in Emerging Wireless LANs, Wireless PANs, and Wireless MANs , (Eds. Y. Xiao and Y. Pan), Wiley, April 2009. D. Niyato and E. Hossain, "Medium access control protocols for dynamic spectrum access in cognitive radio networks: A survey," invited chapter in Cognitive Radio Networks , (Eds. Y. Xiao and F. Hu), Auerbach Publications, CRC Press, December 2008. D. Niyato and E. Hossain, "Adaptive resource allocation in cellular wireless networks under time-varying traffic: A transient analysis-based approach," invited chapter in Adaptive Signal Processing in Wireless Communications: vol. 2 Adaptive Techniques in Wireless Networks , (Ed. M. Ibnkahla), CRC Press, August 2008. D. Niyato E. Hossain, and J. Diamond, "Fourth generation heterogeneous wireless access networks for eHealth services: Architecture and radio resource management," invited chapter in Mobile Telemedicine: A Computing and Networking Perspective , (Eds. Y. Xiao and H. Chen), Auerbach Publications, CRC Press, June 2008. D. Niyato and E. Hossain, "Connection admission control in OFDMA-based WiMAX networks: Performance modeling and analysis," invited chapter in WiMax/MobileFi: Advanced Research and Technology , (Ed. Y. Xiao), Auerbach Publications, CRC Press, December 2007. D. Niyato and E. Hossain, "Microeconomic models for dynamic spectrum management in cognitive radio networks," invited chapter in Cognitive Wireless Communication Networks , (Eds. V.K. Bhargava and E. Hossain), Springer-Verlag, November 2007. D. Niyato and E. Hossain, "Resource allocation and admission control using fuzzy logic for OFDMA-based IEEE 802.16 broadband wireless networks," invited chapter in Handbook of WiMAX , (Eds. S. Ahson and M. Ilyas), Taylor and Francis Group, October 2007. Conference J. Kang, Z. Xiong, D. Niyato , and D. I. Kim, "Incentivizing secure block verification by contract theory in blockchain-enabled vehicular networks," to be presented in IEEE ICC , Shanghai, China, 20-24 May 2019. L. Zhang, J. Tan, Y.-C. Liang, G. Feng, and D. Niyato , "Deep reinforcement learning for modulation and coding scheme selection in cognitive HetNets," to be presented in IEEE ICC , Shanghai, China, 20-24 May 2019. Z. Ni, W. Wang, D. I. Kim, P. Wang, and D. Niyato , "Evolutionary game for consensus provision in permissionless blockchain networks with shards," to be presented in IEEE ICC , Shanghai, China, 20-24 May 2019. J. Tan, L. Zhang, Y.-C. Liang, and D. Niyato , "Deep reinforcement learning for the coexistence of LAA-LTE and WiFi systems," to be presented in IEEE ICC , Shanghai, China, 20-24 May 2019. S. Feng, W. Wang, D. Niyato , D. I. Kim, and P. Wang, "Dynamic sensor renting in RF-powered crowdsensing service market with blockchain," to be presented in IEEE WCNC , Marrakech, Morocco, 15-18 April 2019. X. Luo, J. Xu, Y. Zou, S. Gong, L. Gao, and D. Niyato , "Collaborative relay beamforming with direct links in wireless powered communications," to be presented in IEEE WCNC , Marrakech, Morocco, 15-18 April 2019. T. T. Anh, N. C. Luong, D. Niyato , Y.-C. Liang, and D. I. Kim, "Deep reinforcement learning for time scheduling in RF-powered backscatter cognitive radio networks," to be presented in IEEE WCNC , Marrakech, Morocco, 15-18 April 2019. S. Feng, W. Wang, D. Niyato , D. I. Kim, and P. Wang, "Competitive data trading in wireless-powered Internet of Things (IoT) crowdsensing systems with blockchain", in Proceedings of IEEE International Conference on Communication Systems (ICCS) , Chengdu, China, 19-21 December 2018. T. Sanguanpuak, N. Rajatheva, D. Niyato , and M. Latva-aho, "Network slicing with mobile edge computing for micro-operator networks in beyond 5G," in Proceedings of International Symposium on Wireless Personal Multimedia Communications (WPMC) , Chiang Rai, Thailand, 25-28 November 2018. Y. Zou, W. Liu, S. Gong, K. Zhu, and D. Niyato , "Joint optimization of wireless power transfer and collaborative beamforming for relay communications," in Proceedings of IEEE GLOBECOM Workshops: Wireless Energy Harvesting Communication Networks , Abu Dhabi, UAE, 10-13 December 2018. J. Nie, Z. Xiong, D. Niyato , P. Wang, and J. Luo, "A socially-aware incentive mechanism for mobile crowdsensing service market," in Proceedings of IEEE GLOBECOM , Abu Dhabi, UAE, 10-13 December 2018. Z. Xiong, S. Feng, D. Niyato , A. Leshem, and Y. Zhang, "Game theoretic analysis for joint sponsored and edge caching content service market," in Proceedings of IEEE GLOBECOM , Abu Dhabi, UAE, 10-13 December 2018. N. Zhao, Y.-C. Liang, D. Niyato , Y. Pei, and Y. Jiang, "Deep reinforcement learning for user association and resource allocation in heterogeneous networks," in Proceedings of IEEE GLOBECOM , Abu Dhabi, UAE, 10-13 December 2018. S. Feng, Z. Xiong, D. Niyato , P. Wang, S. Wang, and Y. Zhang, "Cyber risk management with risk aware cyber-insurance in blockchain networks," in Proceedings of IEEE GLOBECOM , Abu Dhabi, UAE, 10-13 December 2018. H. V. Nguyen, D. T. Hoang, D. N. Nguyen, E. Dutkiewicz, D. Niyato , and P. Wang, "Reinforcement learning approach for RF-powered cognitive radio network with ambient backscatter," in Proceedings of IEEE GLOBECOM , Abu Dhabi, UAE, 10-13 December 2018. J. Li, J. Xu, S. Gong, C. Li, and D. Niyato , "A game theoretic approach for backscatter-aided relay communications in hybrid radio networks," in Proceedings of IEEE GLOBECOM , Abu Dhabi, UAE, 10-13 December 2018. S. Feng, Z. Xiong, D. Niyato , and P. Wang, "Competitive security pricing in cyber-insurance market: A game-theoretic analysis," in Proceedings of IEEE VTC-Fall , Chicago, USA, 27-30 August 2018. S. Sawadsitang, D. Niyato , P. S. Tan, and P. Wang, "Supplier cooperation in drone delivery," in Proceedings of IEEE VTC-Fall , Chicago, USA, 27-30 August 2018. D. T. Hoang, D. Niyato , P. Wang, A. D. Domenico, and E. C. Strinati, "Optimal cross slice orchestration for 5G mobile services," in Proceedings of IEEE VTC-Fall , Chicago, USA, 27-30 August 2018. X. Gao, P. Wang, D. Niyato , K. Yang, and J. An, "An auction-based time scheduling mechanism for backscatter-aided RF-powered cognitive radio networks," in Proceedings of IEEE International Conference on Green Computing and Communications (GreenCom) , Halifax, 30 July - 03 August 2018. Z. Xiong, S. Feng, D. Niyato , P. Wang, and Z. Han, "Optimal pricing-based edge computing resource management in mobile blockchain," in Proceedings of IEEE ICC , Kansas City, MO, USA, 20-24 May 2018. X. Lu, D. Niyato , N. Privault, H. Jiang, and S. Wang, "A cyber insurance approach to manage physical layer secrecy for massive MIMO cellular networks," in Proceedings of IEEE ICC , Kansas City, MO, USA, 20-24 May 2018. H.-B. Kong, I. Flint, P. Wang, and D. Niyato , and N. Privault, "Wireless caching helper networks: Ginibre point process modeling and analysis," in Proceedings of IEEE ICC , Kansas City, MO, USA, 20-24 May 2018. W. Wang, D. Niyato , P. Wang, and A. Leshem, "Decentralized caching for content delivery based on blockchain: A game theoretic perspective," in Proceedings of IEEE ICC , Kansas City, MO, USA, 20-24 May 2018. Y. Jiao, P. Wang, D. Niyato , and Z. Xiong, "Social welfare maximization auction in edge computing resource allocation for mobile blockchain," in Proceedings of IEEE ICC , Kansas City, MO, USA, 20-24 May 2018. N. C. Luong, Z. Xiong, P. Wang, and D. Niyato , "Optimal auction for edge computing resource management in mobile blockchain networks: A deep learning approach," in Proceedings of IEEE ICC , Kansas City, MO, USA, 20-24 May 2018. X. Lu, G. Li, H. Jiang, D. Niyato , and P. Wang, "Performance analysis of wireless-powered relaying with ambient backscattering," in Proceedings of IEEE ICC , Kansas City, MO, USA, 20-24 May 2018. N. Khoi, D. T. Hoang, D. Niyato , P. Wang, N. N. Diep, and E. Dutkiewicz, "Cyberattack detection in mobile cloud computing: A deep learning approach," in Proceedings of IEEE WCNC , Barcelona, Spain, 15-18 April 2018. Z. Xiong, S. Feng, D. Niyato , P. Wang, and Y. Zhang, "Competition and cooperation analysis for data sponsored market: A network effects model," in Proceedings of IEEE WCNC , Barcelona, Spain, 15-18 April 2018. D. T. Hoang, D. Niyato , P. Wang, S. Wang, N. N. Diep, and E. Dutkiewicz, "A stochastic programming approach for risk management in mobile cloud computing," in Proceedings of IEEE WCNC , Barcelona, Spain, 15-18 April 2018. N. Mharsi, M. Hadji, D. Niyato , W. Diego, and R. Krishnaswamy, "Scalable and cost-efficient algorithms for baseband unit (BBU) function split placement," in Proceedings of IEEE WCNC , Barcelona, Spain, 15-18 April 2018. S. Feng, Z. Xiong, D. Niyato , P. Wang, S. Wang, "Joint pricing and security investment for cloud-insurance: A security interdependency perspective," in Proceedings of IEEE WCNC , Barcelona, Spain, 15-18 April 2018. Y. Zhang, Z. Xiong, D. Niyato , P. Wang, and J. Jin, "Joint optimization of information trading in Internet of Things (IoT) market with externalities," in Proceedings of IEEE WCNC , Barcelona, Spain, 15-18 April 2018. C. Gu, R. Tan, X. Lou, and D. Niyato , "One-hop out-of-band control planes for low-power multi-hop wireless networks," in Proceedings of IEEE INFOCOM , Honolulu, HI, USA, 15-19 April 2018. K. Suankaewmanee, D. T. Hoang, D. Niyato , S. Sawadsitang, P. Wang, and Z. Han, "Performance analysis and application of mobile blockchain," in Proceedings of International Conference on Computing, Networking and Communications (ICNC) , Maui, Hawaii, USA, March 5-8, 2018. Z. Xiong, S. Feng, D. Niyato , P. Wang, and Y. Zhang, "Economic analysis of network effects on sponsored content: A hierarchical game theoretic approach," in Proceedings of IEEE GLOBECOM , Singapore, 4-8 December 2017. Z. Xiong, S. Feng, D. Niyato , P. Wang, and Z. Han, "Network effect-based sequential dynamic pricing for mobile social data market," in Proceedings of IEEE GLOBECOM , Singapore, 4-8 December 2017. M. Asghari, S. Yousefi, and D. Niyato , "Mobile network operators decision for partnership with zero-rating Internet platforms," in Proceedings of IEEE GLOBECOM , Singapore, 4-8 December 2017. Y. Zhang, Z. Xiong, D. Niyato , P. Wang, and J. Jin, "A game-theoretic analysis of complementarity, substitutability and externalities in cloud services," in Proceedings of IEEE GLOBECOM , Singapore, 4-8 December 2017. A. Ndikumana, K. Thar, T. M. Ho, N. H. Tran, P. L. Vo, D. Niyato , and C. S. Hong, "In-network caching for paid contents in content centric networking," in Proceedings of IEEE GLOBECOM , Singapore, 4-8 December 2017. L. Dong, D. Niyato , D. I. Kim, and D. T. Hoang, "A joint scheduling and content caching scheme for energy harvesting access points with multicast," in Proceedings of IEEE GLOBECOM , Singapore, 4-8 December 2017. W. Wang, Z. Xiong, D. Niyato , and P. Wang, "A hierarchical game with strategy evolution for mobile sponsored content/service markets," in Proceedings of IEEE GLOBECOM , Singapore, 4-8 December 2017. S. Sawadsitang, J. Siwei, D. Niyato , and P. Wang, "Optimal stochastic package delivery planning with deadline: A cardinality minimization in routing," in Proceedings of IEEE VTC-Fall , Toronto, Canada, 24-27 September 2017. D. T. Hoang, D. Niyato , and P. Wang, "Optimal cost-based cyber insurance policy management for mobile services," in Proceedings of IEEE VTC-Fall , Toronto, Canada, 24-27 September 2017. X. Lu, H. Jiang, D. Niyato , D. I. Kim, and P. Wang, "Analysis of wireless-powered device-to-device communications with ambient backscattering," in Proceedings of IEEE VTC-Fall , Toronto, Canada, 24-27 September 2017. S. Sawadsitang, R. Kaewpuang, J. Siwei, D. Niyato , and P. Wang, "Optimal stochastic delivery planning in full-truckload and less-than-truckload delivery," in Proceedings of IEEE VTC-Spring , Sydney, Australia, 4-7 June 2017. D. T. Hoang, D. Niyato , P. Wang, and D. I. Kim, "Optimal time sharing in RF-powered backscatter cognitive radio networks," in Proceedings of IEEE ICC , Paris, France, 21-25 May 2017. D. T. Hoang, D. Niyato , P. Wang, D. I. Kim, and L. B. Le, "Overlay RF-powered backscatter cognitive radio networks: A game theoretic approach," in Proceedings of IEEE ICC , Paris, France, 21-25 May 2017. H.-B. Kong, I. Flint, P. Wang, and D. Niyato , and N. Privault, "Modeling and analysis of wireless networks using Poisson hard-core process," in Proceedings of IEEE ICC , Paris, France, 21-25 May 2017. H.-B. Kong, P. Wang, and D. Niyato , "Performance analysis of wireless sensor networks with Ginibre point process modeling," in Proceedings of IEEE ICC , Paris, France, 21-25 May 2017. Y. Jiao, P. Wang, D. Niyato , M. A. Alsheikh, and S. Feng, "Profit maximization auction and data management in big data markets," in Proceedings of IEEE WCNC , San Francisco, CA, 19-22 March 2017. Y. Zhang, D. Niyato , N. H. Tran, and Z. Han, "Multi-dimensional payment plan in fog computing with moral hazard," in Proceedings of IEEE International Conference on Communication Systems (ICCS) , Shenzhen, China, 14-16 December 2016. A. Rahmati, V. Shah-Mansouri, and D. Niyato , "Price-based resource allocation in spectrum-sharing OFDMA femtocell networks," in Proceedings of IEEE GLOBECOM , Washington, DC USA, 4-8 December 2016. D. T. Hoang, D. Niyato , P. Wang, D. I. Kim, and Z. Han, "The tradeoff analysis in RF-powered backscatter cognitive radio networks," in Proceedings of IEEE GLOBECOM , Washington, DC USA, 4-8 December 2016. D. Niyato , P. Wang, D. I. Kim, and Z. Han, "Opportunistic energy scheduling in wireless powered sensor networks," in Proceedings of IEEE VTC-Fall , Montral, Canada, 1821 September 2016. D. Niyato , M. A. Alsheikh, P. Wang, D. I. Kim, and Z. Han, "Market model and optimal pricing scheme of big data and Internet of Things (IoT)," in Proceedings of IEEE ICC , Kuala Lumpur, Malaysia, 23-27 May 2016. D. Niyato , D. I. Kim, P. Wang, and M. Bennis, "Joint admission control and content caching policy for energy harvesting access points," in Proceedings of IEEE ICC , Kuala Lumpur, Malaysia, 23-27 May 2016. D. Niyato , X. Lu, P. Wang, D. I. Kim, and Z. Han, "Distributed wireless energy scheduling for wireless powered sensor networks," in Proceedings of IEEE ICC , Kuala Lumpur, Malaysia, 23-27 May 2016. D. Niyato , D. I. Kim, P. Wang, and L. Song, "A novel caching mechanism for Internet of Things (IoT) sensing service with energy harvesting," in Proceedings of IEEE ICC , Kuala Lumpur, Malaysia, 23-27 May 2016. Y. Xiao, Z. Xiong, D. Niyato , Z. Han, and L. DaSilva, "Full-duplex machine-to-machine communication for wireless-powered Internet-of-Things," in Proceedings of IEEE ICC , Kuala Lumpur, Malaysia, 23-27 May 2016. A. Eldosouky, W. Saad, and D. Niyato , "Single controller stochastic games for optimized moving target defense," in Proceedings of IEEE ICC , Kuala Lumpur, Malaysia, 23-27 May 2016. H. Zhang, Y. Xiao, S. Bu, D. Niyato , F. R. Yu, and Z. Han, "Fog computing in multi-tier data center networks: A hierarchical game approach," in Proceedings of IEEE ICC , Kuala Lumpur, Malaysia, 23-27 May 2016. Z. Zheng, L. Song, D. Niyato , and Z. Han, "Resource allocation in wireless powered relay networks through a Nash bargaining game," in Proceedings of IEEE ICC , Kuala Lumpur, Malaysia, 23-27 May 2016. H.-B. Kong, I. Flint, D. Niyato , and N. Privault, "On the performance of wireless energy harvesting networks in a Boolean-Poisson model," in Proceedings of IEEE ICC , Kuala Lumpur, Malaysia, 23-27 May 2016. T. Sanguanpuak, S. Guruacharya, N. Rajatheva, M. Bennis, D. Niyato , and M. Latva-aho, "Multi-operator spectrum sharing using matching game in small cells network," in Proceedings of IEEE ICC , Kuala Lumpur, Malaysia, 23-27 May 2016. D. T. Hoang and D. Niyato , "Information service pricing competition in Internet-of-Vehicle (IoV)," in Proceedings of International Conference on Computing, Networking and Communications (ICNC) , Kauai, Hawaii, USA, February 15-18, 2016. Y. Xiao, Z. Xiong, D. Niyato , and Z. Han, "Distortion minimization via adaptive digital and analog transmission for energy harvesting-based wireless sensor networks," in Proceedings of IEEE GlobalSIP , Orlando, FL, USA, 14-16 December 2015. D. Niyato , P. Wang, and D. I. Kim, "Optimal service auction for wireless powered Internet of Things (IoT) device," in Proceedings of IEEE GLOBECOM , San Diego, CA, USA, 6-10 December 2015. J. Chase, D. Niyato , and S. Chaisiri, "Bring-Your-Own-Application (BYOA): Optimal stochastic application migration in mobile cloud computing," in Proceedings of IEEE GLOBECOM , San Diego, CA, USA, 6-10 December 2015. Y. Xiao, D. Niyato , Z. Han, and L. A. DaSilva, "Joint optimization for power scheduling and transfer in energy harvesting communication systems," in Proceedings of IEEE GLOBECOM , San Diego, CA, USA, 6-10 December 2015. H. Zhang, Y. Xiao, L. X. Cai, D. Niyato , L. Song, and Z. Han, "A hierarchical game approach for multi-operator spectrum sharing in LTE unlicensed," in Proceedings of IEEE GLOBECOM , San Diego, CA, USA, 6-10 December 2015. Y. Liao, B. Di, K. Bian, L. Song, D. Niyato , and Z. Han, "Cross-layer protocol design for distributed full-duplex network," in Proceedings of IEEE GLOBECOM , San Diego, CA, USA, 6-10 December 2015. M. A. Alsheikh, S. Lin, H. P. Tan, and D. Niyato , "Toward a robust sparse data representation for wireless sensor networks," in Proceedings of IEEE Conference on Local Computer Networks (LCN) , Clearwater Beach, FL, USA, 26-29 October 2015. S. Chaisiri, R. Ko, and D. Niyato , "A joint optimization approach to security-as-a-service allocation and cyber insurance management," in Proceedings of IEEE International Conference on Trust, Security and Privacy in Computing and Communications (IEEE TrustCom) , Helsinki, Finland, 20-22 August, 2015. D. Niyato , P. Wang, D. I. Kim, and Z. Han, "Content messenger selection and wireless energy transfer policy in mobile social networks," in Proceedings of IEEE ICC , London, UK, 8-12 June 2015. D. Niyato , P. Wang, D. I. Kim, and W. Saad, "Finding the best friend in mobile social energy networks," in Proceedings of IEEE ICC , London, UK, 8-12 June 2015. D. Niyato , F. Adachi, P. Wang, and D. I. Kim, "Competitive cell association and antenna allocation in 5G massive MIMO networks," in Proceedings of IEEE ICC , London, UK, 8-12 June 2015. D. Niyato , P. Wang, D. I. Kim, Z. Han, and X. Lu, "Game theoretic modeling of jamming attack in wireless powered communication networks," in Proceedings of IEEE ICC , London, UK, 8-12 June 2015. D. Niyato , P. Wang, D. I. Kim, Z. Han, and C. M. Teo, "User's deception mechanisms against jammers in wireless energy harvesting networks," in Proceedings of IEEE ICC , London, UK, 8-12 June 2015. D. T. Hoang, D. Niyato , and N. T. Hung, "Optimal energy allocation policy for wireless networks in the sky," in Proceedings of IEEE ICC , London, UK, 8-12 June 2015. Y. Xiao, Z. Han, D. Niyato , and C. Yuen, "Bayesian reinforcement learning for energy harvesting communication systems with uncertainty," in Proceedings of IEEE ICC , London, UK, 8-12 June 2015. D. Niyato , P. Wang, D. I. Kim, Z. Han, and X. Lu, "Performance analysis of delay-constrained wireless energy harvesting communication networks under jamming attacks," in Proceedings of IEEE WCNC , New Orleans, LA, USA, 9-12 March 2015. X. Lu, I. Flint, D. Niyato , N. Privault, and P. Wang, "Performance analysis of simultaneous wireless information and power transfer with ambient RF energy harvesting," in Proceedings of IEEE WCNC , New Orleans, LA, USA, 9-12 March 2015. X. Lu, P. Wang, and D. Niyato , "Hierarchical cooperation for operator-controlled device-to-device communications," in Proceedings of IEEE WCNC , New Orleans, LA, USA, 9-12 March 2015. Y. Zhang, D. Niyato , P. Wang, and X. Lu, "Optimizing content relay policy in publish-subscribe mobile social networks," in Proceedings of IEEE WCNC , New Orleans, LA, USA, 9-12 March 2015. H. Zhang, D. Niyato , L. Song, T. Jiang, and Z. Han, "Equilibrium analysis for zero-determinant strategy in resource management of wireless network," in Proceedings of IEEE WCNC , New Orleans, LA, USA, 9-12 March 2015. T. Truong-Huu, C. K. Tham, and D. Niyato , "To offload or to wait: An opportunistic offloading algorithm for parallel tasks in a mobile cloud," in Proceedings of IEEE International Conference on Cloud Computing Technology and Science (CloudCom) , Singapore, 15-18 December 2014. T. Truong-Huu, C. K. Tham, and D. Niyato , "A stochastic workload distribution approach for an ad-hoc mobile cloud," in Proceedings of IEEE International Conference on Cloud Computing Technology and Science (CloudCom) , Singapore, 15-18 December 2014. H. Zhang, D. Niyato , L. Song, T. Jing, and Z. Han, "Zero-determinant strategy in cheating management of wireless cooperation," in Proceedings of IEEE GLOBECOM , Austin, TX, USA, 8-12 December 2014. I. Flint, X. Lu, N. Privault, D. Niyato , and P. Wang, "Performance analysis of ambient RF energy harvesting: A stochastic geometry approach," in Proceedings of IEEE GLOBECOM , Austin, TX, USA, 8-12 December 2014. R. Kaewpuang, D. Niyato , P. Wang, Z. Han, and R. Lu, "Optimal decentralized security software deployment in multihop wireless networks," in Proceedings of IEEE GLOBECOM , Austin, TX, USA, 8-12 December 2014. D. Niyato , P. Wang, and D. I. Kim, "Performance analysis of cognitive radio networks with opportunistic RF energy harvesting," in Proceedings of IEEE GLOBECOM , Austin, TX, USA, 8-12 December 2014. D. Niyato , P. Wang, P. H. J. Chong, Z. Han, and D. I. Kim, "Optimal energy management policy of a mobile cloudlet with wireless energy charging," in Proceedings of IEEE SmartGridComm , Venice, Italy, 3-6 November 2014. D. Niyato , Y. Zhang, P. Wang, and D. I. Kim, "Optimal wireless energy charging policy for a mobile node in smart grid environment," in Proceedings of IEEE SmartGridComm , Venice, Italy, 3-6 November 2014. D. I. Kim, D. Niyato , and D. Hwang, , "Wireless energy harvesting communications: Beamforming and stochastic optimization," in Proceedings of International Conference on Information and Communication Technology Convergence (ICTC) , pp. 760-762, 22-24 October 2014. Z. Cao, H. Guo, J. Zhang, D. Niyato , and U. Fastenrath, "A data-driven method for stochastic vehicle routing," in Proceedings of International IEEE Conference on Intelligent Transportation Systems (ITSC) , Qingdao, China, October 8-11, 2014. H. Guo, Z. Cao, J. Zhang, D. Niyato , and U. Fastenrath, "Routing multiple cars in large scale networks: Minimizing road network breakdown probability," in Proceedings of International IEEE Conference on Intelligent Transportation Systems (ITSC) , Qingdao, China, October 8-11, 2014. M. A. Alsheikh, P. K. Poh, S. Lin, H. P. Tan, and D. Niyato , "Efficient data compression with error bound guarantee in wireless sensor networks," in Proceedings of ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWiM) , Montreal, Canada, 21-26 September, 2014. D. T. Hoang, D. Niyato , and L. B. Le, "Simulation-based optimization for admission control of mobile cloudlets," in Proceedings of IEEE ICC , Sydney, Australia, 10-14 June 2014. Y. Zhang, D. Niyato P. Wang, and C. K. Tham, "Dynamic offloading algorithm in intermittently connected mobile cloudlet systems," in Proceedings of IEEE ICC , Sydney, Australia, 10-14 June 2014. D. T. Hoang, D. Niyato , P. Wang, and D. I. Kim, "Optimal decentralized control policy for wireless communication systems with wireless energy transfer," in Proceedings of IEEE ICC , Sydney, Australia, 10-14 June 2014. D. Niyato , P. Wang, and D. I. Kim, "Channel selection in cognitive radio networks with opportunistic RF energy harvesting," in Proceedings of IEEE ICC , Sydney, Australia, 10-14 June 2014. D. Niyato , P. Wang, and D. I. Kim, "Admission control policy for wireless networks with RF energy transfer," in Proceedings of IEEE ICC , Sydney, Australia, 10-14 June 2014. J. Chase, R. Kaewpuang, Y. Wen, and D. Niyato , "Joint virtual machine and bandwidth allocation in software defined network (SDN) and cloud computing environments," in Proceedings of IEEE ICC , Sydney, Australia, 10-14 June 2014. D. Niyato and P. Wang, "Competitive wireless energy transfer bidding: A game theoretic approach," in Proceedings of IEEE ICC , Sydney, Australia, 10-14 June 2014. Y. Li, P. Wang, D. Niyato and Y. Zhang, "Contract-theoretic modeling for content delivery in relay-based publish-subscribe networks," in Proceedings of IEEE ICC , Sydney, Australia, 10-14 June 2014. B. Maham, H. Kebriaei, and D. Niyato , "Bandwidth price optimization for D2D communication underlaying cellular networks," in Proceedings of IEEE WCNC - Workshop on Device-to-Device and Public Safety Communications , Istanbul, Turkey, 6-9 April 2014. D. Niyato , P. Wang, W.-L. Yeow, and H. P. Tan, "QoS-aware data transmission and wireless energy transfer: Performance modeling and optimization," in Proceedings of IEEE WCNC , Istanbul, Turkey, 6-9 April 2014. C. Diaz, W. Saad, B. Maham, D. Niyato , and A. S. Madhukumar, "Strategic device-to-device communications in backhaul-constrained wireless small cell networks," in Proceedings of IEEE WCNC , Istanbul, Turkey, 6-9 April 2014. H. Kebriaei, B. Maham, and D. Niyato , "Supply-demand function equilibrium for double sided bandwidth-auction games," in Proceedings of IEEE WCNC , Istanbul, Turkey, 6-9 April 2014. D. T. Hoang, D. Niyato , and D. I. Kim, "Cooperative bidding of data transmission and wireless energy transfer," in Proceedings of IEEE WCNC , Istanbul, Turkey, 6-9 April 2014. Q. Dong, D. Niyato , P. Wang, and Z. Han, "An adaptive scheduling of PHEV charging: Analysis under imperfect data communication," in Proceedings of IEEE SmartGridComm , Vancouver, Canada, 21-24 October 2013. R. Wang, Y. Li, P. Wang, and D. Niyato , "Design of a V2G aggregator to optimize PHEV charging and frequency regulation control," in Proceedings of IEEE SmartGridComm , Vancouver, Canada, 21-24 October 2013. Y. Zhang, D. Niyato and P. Wang, "An auction mechanism for resource allocation in mobile cloud computing systems," in Proceedings of International Conference on Wireless Algorithms, Systems, and Applications (WASA) , Zhangjiajie, China, 7-10 August 2013. L. Le, E. Hossain, D. Niyato , and D. I. Kim, "Mobility-aware admission control with QoS guarantees in OFDMA femtocell networks," in Proceedings of IEEE ICC , Budapest, Hungary, 9-13 June 2013. Z. Feng, L. Song, Z. Han, D. Niyato , Z. Zhao, "Cell selection in two-tier femtocell networks with open/closed access using evolutionary game," in Proceedings of IEEE WCNC , Shanghai, China, 7-10 April 2013. J. Y. Koh, J. C. M. Teo, and D. Niyato , "Rate limiting client puzzle schemes for denial-of-service mitigation," in Proceedings of IEEE WCNC , Shanghai, China, 7-10 April 2013. Q. Dong, D. Niyato , P. Wang, and Z. Han, "Deferrable load scheduling optimization under power price information attacks in smart grid," in Proceedings of IEEE WCNC , Shanghai, China, 7-10 April 2013. D. T. Hoang and D. Niyato , "Performance analysis of cognitive machine-to-machine communications," in Proceedings of IEEE International Conference on Communication Systems (ICCS) , Singapore, 21-23 November 2012. S. M. Perlaza, D. Niyato , Z. Han, and V. H. Poor, "On the decentralized management of scrambling codes in small cell networks," in Proceedings of IEEE Singapore International Conference on Communication Systems (ICCS) , Singapore, 21-23 November 2012. Y. Li, R. Wang, P. Wang, D. Niyato , W. Saad, and Z. Han, "Resilient PHEV charging policies under price information attacks," in Proceedings of IEEE SmartGridComm , Tainan City, Taiwan, 5-8 November 2012. Q. Dong, D. Niyato , P. Wang, and S. Gong, "Deferrable load scheduling of smart meter with intermittent communication connection," in Proceedings of IEEE SmartGridComm , Tainan City, Taiwan, 5-8 November 2012. K. T. Tran, S. Guruacharya, and D. Niyato , "Robust bandwidth allocation in wireless mesh network," in Proceedings of IEEE GLOBEOM , Anaheim, California, USA, 3-7 December 2012. R. Kaewpuang, S. Chaisiri, D. Niyato , P. Wang, and B. S. Lee, "Adaptive power management for data center in smart grid environment," in Proceedings of IEEE International Symposium on Parallel and Distributed Processing with Applications (ISPA) , Legans, Madrid, 10-13 July 2012. Y. Li, R. Kaewpuang, P. Wang, and D. Niyato , "An energy efficient solution: Integrating PHEV in smart grid with renewable energy," in Proceedings of IEEE INFOCOM Workshop on Communications and Control for Sustainable Energy Systems: Green Networking and Smart Grids (INFOCOM WS - CCSES) , Orlando, FL, USA, 30 March 2012 L. Le, D. T. Hoang, D. Niyato , E. Hossain, and D. I. Kim, "Joint load balancing and admission control in OFDMA-based femtocell networks," in Proceedings of IEEE ICC , Ottawa, Canada, 10-15 June, 2012. D. Niyato , P. Wang, E. Hossain, W. Saad, and Z. Han, "Game theoretic modeling of cooperation among service providers in mobile cloud computing environments," in Proceedings of IEEE WCNC , Paris, France, 1-4 April 2012. S. Guruacharya, D. Niyato , and D. I. Kim, "Access control via coalitional power game," in Proceedings of IEEE WCNC , Paris, France, 1-4 April 2012. D. T. Hoang, D. Niyato , and P. Wang, "Optimal admission control policy for mobile cloud computing hotspot with cloudlet," in Proceedings of IEEE WCNC , Paris, France, 1-4 April 2012. Q. Dong, D. Niyato , and P. Wang, "Dynamic spectrum access for meter data transmission in smart grid: Analysis of packet loss," in Proceedings of IEEE WCNC , Paris, France, 1-4 April 2012. D. Niyato , "Optimization-based virtual machine manager for private cloud computing," in Proceedings of IEEE International Conference on Cloud Computing Technology and Science (CloudCom) , Athens, Greece, 29 November - 1 December 2011. Z. Kun, D. Niyato , and P. Wang, "Dynamic bandwidth allocation under uncertainty in cognitive radio networks," in Proceedings of IEEE GLOBECOM , Houston, TX USA, 5-9 December 2011. X. Lu, P. Wang, and D. Niyato , "Payoff allocation of service coalition in wireless mesh network: A cooperative game perspective," in Proceedings of IEEE GLOBECOM , Houston, TX USA, 5-9 December 2011. Y. Li, P. Wang, D. Niyato , and W. Zhang, "On hierarchical cooperation formation in mobile infostation networks," in Proceedings of IEEE GLOBECOM , Houston, TX USA, 5-9 December 2011. M. Bennis, S. Guruacharya, and D. Niyato , "Distributed learning strategies for interference mitigation in femtocell networks," in Proceedings of IEEE GLOBECOM , Houston, TX USA, 5-9 December 2011. S. Chaisiri, R. Kaewpuang, B. S. Lee, and D. Niyato , "Cost minimization for provisioning virtual servers in Amazon elastic compute cloud," in Proceedings of International Symposium on Modeling, Analysis and Simulation, of Computer and Telecommunication Systems (MASCOT) , Singapore, July 2011. D. Niyato , X. Zhou, A. Hjrungnes, P. Wang, and Y. Li, "Hierarchical coalition formation game of relay transmission in IEEE 802.16m," in Proceedings of International Conference on Game Theory for Networks (GameNets) , Shanghai, China, 16-18 April 2011 ( invited paper ). D. Niyato Z. Kun, and P. Wang, "Cooperative virtual machine management for multi-organization cloud computing environment," in Proceedings of International Workshop on Game Theory in Communication Networks (Gamecomm) , Ecole Normale Suprieure de Cachan, Paris, France, 16 May 2011. D. Niyato , Z. Kun, and A. V. Vasilakos, "Resource and revenue sharing with coalition formation of cloud providers: Game theoretic approach,'' in Proceedings of IEEE International Symposium on Cluster Computing and the Grid (CCGrid) , Newport Beach, CA, USA, 23-26 May 2011. V. K. Tumuluru, P. Wang, and D. Niyato , "Performance analysis of cognitive radio spectrum access with prioritized traffic,'' in Proceedings of IEEE ICC , Kyoto, Japan, 5-9 June 2011. X. Zhou, A. Hjrungnes, and D. Niyato , "How much training is needed against smart jamming?,'' in Proceedings of IEEE ICC , Kyoto, Japan, 5-9 June 2011 Best Paper Award . P. Phunchongharn, D. Niyato , E. Hossain, and S. Camorlinga, "Robust transmission scheduling and power control for dynamic wireless access in a hospital environment," in Proceedings of IEEE ICC , Kyoto, Japan, 5-9 June 2011. D. Niyato , P. Wang, W. Saad, Z. Han, and A. Hjrungnes, "Coalition formation games for relay transmission: Stability analysis under uncertainty," in Proceedings of IEEE WCNC , Cancun, Mexico, 28-31 March 2011. D. Niyato , P. Wang, E. Hossain, and Z. Han, "Impact of packet loss on power demand estimation and power supply cost in smart grid," in Proceedings of IEEE WCNC , Cancun, Mexico, 28-31 March 2011. F. Rozario, Z. Han, and D. Niyato , "Optimization of non-cooperative P2P network from the game theory point of view," in Proceedings of IEEE WCNC , Cancun, Mexico, 28-31 March 2011. Y. Li, P. Wang, and D. Niyato , "Optimal power allocation for secondary users in cognitive relay networks," in Proceedings of IEEE WCNC , Cancun, Mexico, 28-31 March 2011. Z. Yuan, D. Niyato , H. Li, and Z. Han, "Defense against primary user emulation attacks using belief propagation of location information in cognitive radio networks," in Proceedings of IEEE WCNC , Cancun, Mexico, 28-31 March 2011. Y. Li, P. Wang, D. Niyato , and W. Zhuang, "A dynamic relay selection scheme for mobile users in wireless relay networks," in Proceedings of IEEE INFOCOM (mini-conference), Shanghai, China, 10-15 April, 2011. C. T. Ching, D. Niyato , and C.-K. Tham, "Evolutionary optimal virtual machine placement and demand forecaster for cloud computing," in Proceedings of IEEE International Conference on Advanced Information Networking and Applications (AINA) , Singapore, March 2011. S. Chaisiri, B. S. Lee, and D. Niyato , "Robust cloud resource provisioning for cloud computing environments," in Proceedings of IEEE International Conference on Service-Oriented Computing and Applications (SOCA) , Perth, Australia, December 2010. S. Gong, P. Wang, and D. Niyato , "Optimal power control in interference-limited cognitive radio networks," in Proceedings of IEEE International Conference on Communication Systems (ICCS) , 17-20 November 2010, Singapore ( invited paper ). Y. Xiao, G. Bi, and D. Niyato , "Distributed optimization for cognitive radio networks using Stackelberg game," in Proceedings of IEEE International Conference on Communication Systems (ICCS) , 17-20 November 2010, Singapore. M. Bennis and D. Niyato , "A Q-learning based approach to interference avoidance in self-organized femtocell networks," in IEEE International Workshop on Femtocell Networks (FEMnet) in conjunction with IEEE GLOBECOM , Miami, FL, USA, 6 December 2010. D. Niyato , P. Wang, E. Hossain, and Y. Li, "Optimal content transmission policy in publish-subscribe mobile social networks," in Proceedings of IEEE GLOBECOM'10 , Miami FL USA, 6-10 December 2010. D. Niyato , Z. Han, W. Saad, and A. Hjrungnes, "A controlled coalitional game for wireless connection sharing and bandwidth allocation in mobile social networks," in Proceedings of IEEE GLOBECOM'10 , Miami FL USA, 6-10 December 2010. D. Niyato , P. Wang, W. Saad, and A. Hjrungnes, "Coalition formation games for improving data delivery in delay tolerant networks," in Proceedings of IEEE GLOBECOM'10 , Miami FL USA, 6-10 December 2010. S. Guruacharya, D. Niyato , E. Hossain, and D. I. Kim, "Hierarchical competition in femtocell-based cellular networks," in Proceedings of IEEE GLOBECOM'10 , Miami FL USA, 6-10 December 2010. Z. Kun, D. Niyato , and P. Wang, "Optimal bandwidth allocation with dynamic service selection in heterogeneous wireless networks," in Proceedings of IEEE GLOBECOM'10 , Miami FL USA, 6-10 December 2010. V. K. Tumuluru, P. Wang, and D. Niyato , "A queue-aware opportunistic spectrum scheduling for multi-channel cognitive radio networks," in Proceedings of IEEE VTC2010-Fall , Ottawa, Canada, 6-9 September 2010. B. Shrestha, E. Hossain, D. Niyato , S. Camorlinga, and R. Krishnamoorthy, "An optimization-based GTS allocation scheme for IEEE 802.15.4 MAC with application to wireless body area sensor networks," in Proceedings of IEEE ICC , Cape Town, South Africa, 23-27 May 2010. V. K. Tumuluru, P. Wang, and D. Niyato , "A neural network based spectrum prediction scheme for cognitive radio," in Proceedings of IEEE ICC , Cape Town, South Africa, 23-27 May 2010. D. Niyato , "Competitive traffic rate control in MIMO-based wireless relay networks," in Proceedings of IEEE WCNC , Sydney, Australia, 18-21 April 2010. Z. Kun, D. Niyato and P. Wang, "Network selection in heterogeneous wireless networks: Evolution with incomplete information," in Proceedings of IEEE WCNC , Sydney, Australia, 18-21 April 2010. D. Niyato and P. Wang, "Credit-based spectrum sharing for cognitive mobile multihop relay networks," in Proceedings of IEEE WCNC , Sydney, Australia, 18-21 April 2010. D. Niyato , P. Wang, W. Saad, and A. Hjrungnes, "Coalition formation games for bandwidth sharing in vehicle-to-roadside communications," in Proceedings of IEEE WCNC , Sydney, Australia, 18-21 April 2010. D. Niyato , S. Chaisiri, and B. S. Lee, "Economic analysis of resource market in cloud computing environment," in Proceedings of IEEE Asia-Pacific Services Computing Conference (APSCC) , Singapore, December 2009. S. Chaisiri, B. S. Lee, and D. Niyato , "Optimal virtual machine placement across multiple cloud providers," in Proceedings of IEEE Asia-Pacific Services Computing Conference (APSCC) , Singapore, December 2009. D. Niyato , E. Hossain, and P. Wang, "Competitive wireless access for data streaming over vehicle-to-roadside communications," in Proceedings of IEEE GLOBECOM'09 , Honolulu, Hawaii, 30 November-4 December 2009. S. Chieochan, E. Hossain, T. Issariyakul, and D. Niyato , "Opportunistic network coding and dynamic buffer allocation in a wireless butterfly network," in Proceedings of IEEE GLOBECOM'09 , Honolulu, Hawaii, 30 November-4 December 2009. D. Niyato , S. Chaisiri, and B.S. Lee, "Optimal power management for server farm to support green computing," in Proceedings of IEEE International Symposium on Cluster Computing and the Grid (CCGrid) , Shanghai, China, May 2009. P. Wang, D. Niyato , and H. Jiang, "Voice service support over cognitive radio networks," in Proceedings of IEEE ICC 2009 , Dresden, Germany, 14-18 June 2009. D. Niyato , E. Hossain, D. I. Kim, and Z. Han, "Joint optimization of placement and bandwidth reservation for relays in IEEE 802.16j mobile multihop networks," in Proceedings of IEEE ICC 2009 , Dresden, Germany, 14-18 June 2009. D. Niyato , P. Wang, and C. M. Teo, "Performance analysis of the vehicular delay tolerant network," in Proceedings of IEEE WCNC 2009 , Budapest, Hungary, 5-8 April, 2009. B. Shrestha, D. Niyato , Z. Han, and E. Hossain, "Wireless access in vehicular environments using BitTorrent and bargaining," in Proceedings of IEEE GLOBECOM , New Orleans, LO, 30 November-4 December 2008. D. Niyato , E. Hossain, and L. B. Le, "Competitive spectrum sharing and pricing in cognitive wireless mesh networks," in Proceedings of IEEE WCNC 2008 , Las Vegas, NV, 31 March-3 April 2008. D. Niyato and E. Hossain, "Modeling user churning behavior in wireless networks using evolutionary game theory," in Proceedings of IEEE WCNC 2008 , Las Vegas, NV, 31 March-3 April 2008. D. Niyato and E. Hossain, "Optimal price competition for spectrum sharing in cognitive radio: A dynamic game-theoretic approach," in Proceedings of IEEE GLOBECOM , Washington D.C., 26-30 November, 2007. D. Niyato and E. Hossain, "Equilibrium and disequilibrium pricing for spectrum trading in cognitive radio: A control-theoretic approach," in Proceedings of IEEE GLOBECOM , Washington D.C., 26-30 November, 2007. D. Niyato and E. Hossain, "A game-theoretic approach to competitive spectrum sharing in cognitive radio networks," in Proceedings of IEEE WCNC , Hong Kong, 11-15 March, 2007. D. Niyato and E. Hossain, "Hierarchical spectrum sharing in cognitive radio: microeconomics approach," in Proceedings of IEEE WCNC , Hong Kong, 11-15 March, 2007. D. Niyato and E. Hossain, "A hierarchical model for bandwidth management and admission control in integrated IEEE 802.16/802.11 wireless networks," in Proceedings of IEEE WCNC , Hong Kong, 11-15 March, 2007. D. Niyato , E. Hossain, K.C. Wavegedara, and V.K. Bhargava, "Radio link level performance in multi-rate MIMO wireless networks: Analysis and optimization," in Proceedings of IEEE WCNC , Hong Kong, 11-15 March, 2007. D. Niyato , E. Hossain, K.C. Wavegedara, and V.K. Bhargava, "Queue-aware power allocation for space-time block coded MIMO systems," in Proceedings of IEEE Wireless Communications and Networking Conference (WCNC) , Hong Kong, 11-15 March, 2007. D. Niyato and E. Hossain, "Bandwidth allocation in 4G heterogeneous wireless access networks: A noncooperative game theoretical approach," in Proceedings of IEEE GLOBECOM , San Fransico, CA, November-December 2006. D. Niyato and E. Hossain, "Admission control in power constrained OFDM/TDMA wireless mesh networks," in Proceedings of IEEE GLOBECOM , San Fransico, CA, November-December 2006. D. Niyato and E. Hossain, "A game theoretic approach to bandwidth allocation and admission control for polling services in IEEE 802.16 broadband wireless networks," in Proceedings of QShine (Third International Conference on Quality of Service in Heterogeneous Wired/Wireless Networks) , Waterloo, Ontario, Canada, August 7-9, 2006. D. Niyato , E. Hossain and A. Fallahi, "Solar-powered OFDM wireless mesh networks with sleep management and connection admission control," in Proceedings of IWCMC (International Wireless Communications and Mobile Computing Conference) , Vancouver, Canada, July 3-6, 2006. (won the Best Student Paper Award ) D. Niyato and E. Hossain, "A predictive call admission control framework for multiservice cellular mobile networks," in Proceedings of ICNEWS 2006 , January 2006. D. Niyato and E. Hossain, "Adaptive bandwidth allocation in cellular mobile networks under markov call arrival process and phase-type channel holding time distribution," in Proceedings of ICNEWS 2006 , January 2006. D. Niyato and E. Hossain, "A cooperative game framework for bandwidth allocation in 4G heterogeneous wireless networks," in Proceedings of IEEE ICC , Istanbul, Turkey, 11-15 June, 2006. D. Niyato and E. Hossain, "A radio resource management framework for IEEE 802.16-based OFDM/TDD wireless mesh networks," in Proceedings of IEEE ICC , Istanbul, Turkey, 11-15 June, 2006. D. Niyato , E. Hossain and A. Fallahi, "Analysis of different sleep and wakeup strategies in solar powered wireless sensor networks," in Proceedings of IEEE ICC , Istanbul, Turkey, 11-15 June, 2006. D. Niyato and E. Hossain, "Delay-based admission control using fuzzy logic for OFDMA broadband wireless networks," in Proceedings of IEEE ICC , Istanbul, Turkey, 11-15 June, 2006. D. Niyato and E. Hossain, "Joint bandwidth allocation and connection admission control for polling services in IEEE 802.16 broadband wireless networks," in Proceedings of IEEE ICC , Istanbul, Turkey, 11-15 June, 2006. T. Issariyakul, D. Niyato , E. Hossain, and V. Krishnamurthy, "Packet-level performance statistics in a wireless network using amplify-and-forward cooperative diversity," in Proceedings of IEEE ICC , Istanbul, Turkey, 11-15 June, 2006. D. Niyato , R. Palit, S. Kota, and E. Hossain, "Call-level and packet-level performance analysis of call admission control and adaptive channel allocation in cellular wireless networks," in Proceedings of IEEE GLOBECOM , St. Louis, MO, USA, 28 November-2 December 2005. D. Niyato and E. Hossain, "Queue-aware uplink bandwidth allocation for polling services in 802.16 broadband wireless networks," in Proceedings of IEEE GLOBECOM , St. Louis, MO, USA, 28 November-2 December 2005. D. Niyato and E. Hossain, "Call-level and packet-level performance modeling in cellular CDMA networks," in Proceedings of IEEE GLOBECOM , St. Louis, MO, USA, 28 November-2 December 2005. D. Niyato and E. Hossain, "Connection admission control algorithms for OFDMA wireless networks," in Proceedings of IEEE GLOBECOM , St. Louis, MO, USA, 28 November-2 December 2005. D. Niyato and E. Hossain, "Queueing analysis of OFDM/TDMA systems," in Proceedings of IEEE GLOBECOM , St. Louis, MO, USA, 28 November-2 December 2005. D. Niyato , J. Diamond and E. Hossain, "On optimizing token bucket parameters at the network edge under generalized processor sharing (GPS) scheduling," in Proceedings of IEEE GLOBECOM , St. Louis, MO, USA, 28 November-2 December 2005. T. Issariyakul, D. Niyato , E. Hossain, and A. S. Alfa, "Exact distribution of access delay in IEEE 802.11 DCF MAC," in Proceedings of IEEE GLOBECOM , St. Louis, MO, USA, 28 November-2 December 2005. D. Niyato , E. Hossain, and A. S. Alfa, "Performance analysis and adaptive call admission control in cellular mobile networks with time-varying traffic," in Proceedings of IEEE ICC , Seoul, Korea, May 2005, USA, 28 November-2 December 2005. D. Niyato and E. Hossain, "Analysis of fair scheduling and connection admission control in differentiated services wireless networks," in Proceedings of IEEE International Conference on Communications (ICC) , Seoul, Korea, May 2005. D. Niyato , E. Hossain, and A. S. Alfa, "Performance analysis of multi-service cellular wireless networks for time-dependent call arrival patterns," in Proceedings of IEEE Global Communications Conference (GLOBECOM) , Dallas, TX, USA, November-December 2004. D. Niyato and C. Srinilta, "Load balancing algorithms for Internet video and audio server," in Proceedings of IEEE International Conference on Networks (ICON) , Bangkok, Thailand, October 2001. Citations Total citations: 8289 (Web of Science), 13996 (SCOPUS), 22162 (Google Scholar) H-Index: 47 (Web of Science), 59 (SCOPUS), 71 (Google Scholar) Patents (German Patent, filed) A Method For Calculating A Route For A Land Vehicle ( DE 102015223824 A1 ), U. Fastenrath, Z. Cao, H. Guo, D. Niyato , and J. Zhang (German Patent, filed) Routing Multiple Cars In Large Scale Networks: Minimizing Road Network Breakdown Probability ( DE 102015205901 A1 ), U. Fastenrath, Z. Cao, D. Niyato , H. Guo, and J. Zhang (US Patent, granted) System And Method For Remote And Mobile Patient Monitoring Service Using Heterogeneous Wireless Access Networks ( US 9007908 B2 ), D. Niyato , E. Hossain, S. G. Camorlinga (US Patent, granted) Method And System For Allocation Guaranteed Time Slots For Efficient Transmission of Time-Critical Data in IEEE 802.15.5 Wireless Personal Area Networks ( US 8976763 B2 ), B. Shrestha, E. Hossain, S. Camorlinga, R. Krishnamoorthu, and D. Niyato Professional Activities Chair/Co-Chair/Editor Editor, IEEE Transactions on Vehicular Technology (TVT) (2018-) Area Editor (Network and Service Management and Green Communication), IEEE Communications Surveys and Tutorials (COMST) (2018-) Senior Editor, IEEE Wireless Communications Letter (WCL) (2018-) Associate Editor, IEEE Transactions on Mobile Computing (TMC) (2017-) Area Editor (Resource Management and Multiple Access, RMMA), IEEE Transactions on Wireless Communications (2016-) Editor, IEEE Transactions on Communications (TCOM) (2015-) Associate Editor, IEEE Transactions on Cognitive Communications and Networking (TCCN) (2015-) Editor, IEEE Communications Surveys and Tutorials (COMST) (2013-2018) Editor, IEEE Wireless Communications Letters (WCL) (2012-2016) Editor, IEEE Transactions on Wireless Communications (2010-2015) Guest Editor, IEEE Signal Processing Magazine (March 2019) - special issue on "Contactless Monitoring of Critical Infrastructure" Guest Editor, IEEE Wireless Communications (October 2017), special issue on "Dynamic Spectrum Management for 5G" Guest Editor, IEEE Communications (February 2017), special issue on "Practical Perspectives on IoT in 5G Networks: From Theory to Industrial Challenges and Business Opportunities" Guest Editor, IEEE Wireless Communications (April 2016), special issue on "Wireless Powered Communication Networks: Architectures, Protocol Designs, and Standardization" Guest Editor, IEEE Journal on Selected Areas on Communications, special issue on "Recent Advances in Heterogeneous Cellular Networks", 2015 Guest Editor, Future Generation Computer Systems (FGCS), special issue on "Cloud Monitoring Systems", 2013 Guest Editor, IEEE Journal on Selected Areas on Communications, special issue on "Cognitive Radio Networking & Communications", 2013 Guest Editor, Journal of Communications and Networks (JCN), special issue on "Communications and Networking for Smart Grid", 2012 Area editor of "Game Theory in Wireless Network", Springer Encyclopedia of Wireless Networks (2017-2018) Editorial Board Member, Journal of Computer Systems, Communications and Networking (2010-) Editor, Wireless Communications and Mobile Computing (Wiley) (2011-2016) Editor, Journal of Communications and Networks (JCN) for Radio Resource Management (Networks and Services Area, Division III), 2009-2012 General Co-Chair, IEEE International Conference on Blockchain 2019 Track Chair, IEEE Vehicular Technology Conference (VTC)-Fall 2019 - Radio Access Technology and Heterogeneous Networks Track Chair, IEEE Vehicular Technology Conference (VTC)-Fall 2018 - Radio Access Technology and Heterogeneous Networks Program Chair, IEEE International Conference on Green Computing and Communications (GreenCom-2018) Track Chair, IEEE Vehicular Technology Conference (VTC)-Spring 2018 - Radio Access Technology and Heterogeneous Networks Symposium Co-chair, IEEE International Conference on Communications (ICC) 2018 - Selected Areas in Communications: Social Networks Symposium Co-chair, IEEE Global Communications (GLOBECOM) Conference 2017 - Mobile and Wireless Networks Symposium Track Co-chair, IEEE Vehicular Technology Conference (VTC)-Spring 2017 - Wireless Access Technology and Heterogeneous Networks TPC Co-chair, IEEE Global Communications (GLOBECOM) Conference 2016 - Selected Areas in Communications: Smart Grid and Power Line Communications Co-chair, Device-to-Device Communication for 5G Systems (WD2DC) in European Wireless 2016 TPC Co-chair, IEEE Workshop on Wireless Powered Communication Networks (WPCNets) 2016 Track Co-chair, IEEE Wireless Communications and Networking Conference (WCNC) - MAC and Cross Layer Design, 2016 Local Arrangement Chair, IEEE Vehicular Technology Society (VTS) Asia Pacific Wireless Communications Symposium (APWCS), 2015 Workshop Co-chair, International Workshop on Device-to-Device Communication for 5G Systems, European Wireless 2015 Symposium Co-chair, International Conference on Computing, Networking and Communications (ICNC) 2017 - Mobile Computing and Vehicle Communications (MCVC) symposium Symposium Co-chair, International Conference on Computing, Networking and Communications (ICNC) 2016 - Mobile Computing and Vehicle Communications (MCVC) symposium Symposium Co-chair, International Conference on Computing, Networking and Communications (ICNC) 2015 - Mobile Computing and Vehicle Communications (MCVC) symposium Symposium Co-chair, International Conference on Computing, Networking and Communications (ICNC) 2014 - Network Algorithms and Performance Evaluation (NAPE) symposium Track co-chair, IEEE Vehicular Technology Conference (VTC) 2014 - Ad-hoc, Mesh, Machine-to-Machine and Sensor Networks track (September 2014, Vancouver, BC, Canada) Technical Program Chair - Japan International Workshop on Smart Wireless Communication (SmartCom) 2014 Symposium Chair, IEEE International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP) 2014 - Mobile Social Networks TPC Co-chair, IEEE SmartgridComm 2013 - "Demand Side Management, Demand Response, Dynamic Pricing" Symposium TPC Co-chair, IEEE Vehicular Technology Society (VTS) Asia Pacific Wireless Communications Symposium (APWCS) 2013 TPC Co-chair, IEEE Global Communications (GLOBECOM) Conference - Cognitive Radio and Networks Symposium, 2013 Track Co-chair, IEEE Vehicular Technology Conference (VTC) 2012 - Cooperative communications, distributed MIMOs and relaying track Publicity Chair, International ICST Conference on Game Theory for Networks (GameNets) 2012 Chair, Mobile Computing Symposium, International Wireless Communications and Mobile Computing Conference (IWCMC), 2011 Co-chair, Next Generation Mobile Networks Symposium, International Wireless Communications and Mobile Computing Conference (IWCMC) 2009, 2010 TPC Co-chair, International Workshop on Cognitive Radio and Cognitive Wireless Networks (in junction with IEEE International Ultra Modern Telecommunications (ICUMT) 2009) Member of the Technical Program Committee (TPC) for International Conference on NETwork Games, COntrol and OPtimisation (NETGCOOP) 2018 International Conference on Game Theory for Networks (GameNets) 2018 International Conference on Cloud Computing Technology and Science (CloudCom) 2017 CSI Symposium on Real-Time and Embedded Systems and Technologies (RTEST) 2018 International Conference on Distributed Computing and Networking (ICDCN) 2017 International Conference on COMmunication Systems and NETworkS (COMSNETS) 2016 International Wireless Distributed Networks Workshop on Cooperative and Heterogeneous Cellular Networks (WDN-CN) 2015 International Conference on Bio-inspired Information and Communications Technologies (BICT), 2014-2015 IEEE International Conference on Smart Grid Communications (SmartGridComm) 2014 International Conference on Mobile Systems and Pervasive Computing (MobiSPC) 2014 International Conference on NETwork Games, COntrol, and OPtimization (NetGCoop), 2014 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE) 2009, 2013 IEEE Consumer Communications and Networking Conference (CCNC) 2014 - Green Computing and Communications Symposium IEEE International Workshop on Emerging COgnitive Radio Applications and aLgorithms (CORAL 2013) IEEE International Conference on Green Computing and Communications (GreenCom) 2013 - Optimization and/or Analysis in Communications, Computing, and Smart Grids track International Conference on Wireless Communications & Signal Processing (WCSP 2012), Wireless Networking Symposium Computing, Communications and Applications Conference (ComComAp 2012), Engineering/IT applications (EITA) symposium IEEE Personal Indoor Mobile Radio Communications (PIMRC) 2011, 2012 IEEE Global Communications Conference (GLOBECOM) 2007-2015 IEEE International Conference on Communications (ICC) 2008-2015 IEEE Wireless Communications and Networking Conference (WCNC) 2008-2015 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM) 2011, 2012 International Conference on Computing, Networking and Communications, Cognitive Computing and Networking Symposium (ICNC - COG) 2012 IEEE Globecom'11 Workshop - SG-COMNETS (IEEE International Workshop on Smart Grid Communications and Networks) IEEE Asia Pacific Wireless Communication Symposium (APWCS) 2011 IEEE INFOCOM 2011 Workshop On Cognitive & Cooperative Networks Australasian Telecommunication Networks and Applications Conference International ICST Conference on Cognitive Radio Oriented Wireless Networks (CrownCom) 2011 IEEE International Performance Computing and Communication Conference (IPCCC) 2010 International Symposium on Wireless Pervasive Computing 2011 International Conference on Bio-Inspired Models of Network, Information and Computing Systems (BIONETICS 2010) IEEE VTS Asia Pacific Wireless Communications Symposium (APWCS) 2010 IEEE VTC-Spring and Fall 2010, VTC-Spring 2011 (Cognitive Radio and Cooperative Communications and Wireless Access Tracks) International Wireless Internet Conference (WICON) 2010 (MAC Track) Asia-Pacific Conference on Communications (APCC) 2009, 2010 IEEE IWCMC 2008, 2009 (General Symposium) IWCMC 2008 (Wireless LANs and Wireless PANs Symposium, General Symposium) ICST Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness (QShine) 2008 3rd IEE Mobility Conference 2006, 4th IEE Mobility Conference 2007 Other activities Senior advisor, Special Interest Group (SIG) Cognitive Cyber-Physical Systems (CCPS) - IEEE ComSoc Technical Committee on Cognitive Networks (TCCN) (2017-2018) Reviewer, Czech Science Foundation (2017) Member, IEEE Vehicular Technology Society, Fellow Evaluation Committee (2017-2018) SIMTech Associate, Singapore (March 2017 - March 2019) Vice-Chair of IEEE Special Interest Group on Energy Harvesting Communication Networks (2015-2016) ComSoc representative to Newsletter committee of the IEEE Smart Grid Initiative (2014-2015) Faculty Associate of Institute for Infocomm Research (I2R), Singapore (July 2013 - June 2015) Chair of Interest Group on Cross-layer design for multimedia communications (CLDMC) for IEEE Multimedia Communication Technical Committee (MMTC), 2012-2014 Co-chair of Interest Group (IG) on Cross-layer design for multimedia communications in IEEE Multimedia Communication Technical Committee (MMTC), 2010-2012 Contributor, IEEE Best Readings on Cognitive Radio Committee member: IEEE Vehicular Technology Society (VTS) Singapore (SG) Chapter External reviewer: National Fund for Scientific and Technological Development (FONDECYT) of the Chilean Government Commission for Scientific and Technological Development (CONICYT) External assessors, Promotion Assessment, University of Sydney (2018) External evaluator, Promotion Evaluation, American University of Beirut (AUB) (2017) Projects PI: Seitee Pte Ltd - "Algorithm Design Of Mobile Decentralized Computing Systems" (October 2018 - September 2019) - S$46,729 PI: Energo Foundation Ltd - "Building A Framework For Energy-DApps On Top Of Blockchain Technology" (September 2018 - September 2019) - S$192,000 PI: MOE Tier 1 - "Stochastic Resource Optimization for Energy-Aware Mobile Services" (May 2018 - October 2019) - S$100,000 PI: EMA - "Distributed, Scalable, and Transparent Data Management Framework for Energy Market: A Blockchain Approach" (April 2018 - March 2020) - S$2,358,000 PI: NTU-WASP - "Management beyond the Edge" (March 2018 - February 2021) - S$257,000 PI: Joint NRF-ISF Research Program - "Game Theoretic Techniques for Wireless Networks Management" (February 2017 - January 2020) - S$253,800 PI (sub-project): Smart Multi-Energy System (SMES) NRF - "Sensor Fusion and Fault Detection and Diagnostic (FDD) - Intelligent Multi-Energy Management Systems" (March 2016 - March 2021) - S$718,000 PI: NTU - "Strategic Capability Building For IoT Research" (September 2016 - March 2020) - S$500,000 PI: MERLION Project - "Integrated of Mobile and Cloud Computing in Future Virtualized 5G Networks" (January 2017 - December 2018) - S$22,670 PI: MOE Tier 2 - "Determinantal Point Process for Modelling RF Energy Harvesting Networks" (April 2015 - September 2018) - S$628,036 PI: MOE Tier 1 - "Resource Management for Mobile Cloud Computing" (March 2014 - August 2017) - S$150,000 Co-PI: MOE Tier 2 - "Optimal Resource Allocation in Multi-Radio Multi-Channel Wireless Networks " (April 2014 - March 2017) - S$468,125 Co-PI: BMW NTU - "Future Mobility Research Lab" (August 2013 - July 2017) - S$410,880 Collaborator: A*STAR Future Data Center Technology (FDCT) Programme - "Large Scale Hybrid Storage System" (August 2011 - January 2015) - S$898,272 PI: A*STAR TSRP - "Design and Analysis of Cloud Computing for Data Value Chain: Operation Research Approach" (August 2010 - October 2012) - S$746,664 PI: MOE Tier 1 - "Protocol Design and Application of IEEE 802.22-Based Wireless Regional Area Network (WRAN)" (March 2009 - August 2012) - S$127,000 Co-PI: MOE Tier 1 - "Radio Resource Management over Cognitive Radio Networks" (March 2009 - February 2013) - S$150,000 PI: NTU Start-Up Grant - "Heterogeneous Wireless Network: Optimization Model and Applications" (August 2008) - July 2012) - S$120,000 Research Team Ong Shen Hoong Kevin (2018-) Feng Shaohan (2016-) Xiong Zehui (2016-) Suttinee Sawadsitang (2016-) Mohammad Abu Alsheikh (2013-2017) "A Framework for Big Sensor Data Collection and Trading" (Post doc, MIT - 2017; Lecturer, University of Canberra - 2018) Jonathan Chase (2012-2017) "Investigating Applications of Optimization Techniques in Mobile Cloud Computing" Dinh Thai Hoang (2012-2016) "Performance Optimization for Cognitive Radio Networks with RF Energy Harvesting Capability" (Lecturer, University Technology, Sydney - 2018) Zhang Yang (2010-2015) "Stochastic Optimization for Mobile Energy Management" (Assistant professor, Wuhan University of Technology - 2015) Sudarshan Guruacharya (2009-2013) "Radio Resource Management in Heterogeneous Wireless Networks" Dong Qiumin (2009-2014) "Reliability Analysis and Performance Optimization of Wireless Networks and Its Applications" (Data analyst, Alibaba.com - 2014) Zhu Kun (2008-2012) "Dynamic Games and Applications in Wireless Communication Networks" (Professor, Nanjing University of Aeronautics and Astronautics - 2015) Conference Tutorials Y.-C. Liang and D. Niyato , "Cognitive Backscatter Network: A New Paradigm of Energy- and Spectrum-Efficient IoT Communications," half-day tutorial in IEEE International Conference on Communications (ICC), Shanghai, China, 20 May 2019. D. I. Kim and D. Niyato , "Wireless Powered Communication Networks: Architectures, Protocols, and Applications," half-day tutorial in IEEE International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), Hong Kong, 30 August 2015. D. Niyato and E. Hossain, "A Crash Course on Mobile Cloud Computing," half-day tutorial in IEEE Wireless Communications and Networking Conference (WCNC), Paris, France, 1 April 2012. D. Niyato , Rose Q. Hu, E. Hossain, and Y. Qian "Communications and Networking for Smart Grid Systems," half-day tutorial in IEEE Global Communications Conference (GLOBECOM), Houston, Texas, USA, 5-9 December 2011. E. Hossain and D. Niyato , "Game Theory for Multiple Access and Resource Allocation in Wireless Networks," half-day tutorial in IEEE Wireless Communications and Networking Conference (WCNC), Cancun, Mexico, 28-31 March 2011. Miscellaneous Chachoengsao How to tie a necktie Conference rating Biography Dusit Niyato (M'09-SM'15-F'17) is currently a professor in the School of Computer Science and Engineering, at Nanyang Technological University, Singapore. He received B.Eng. from King Mongkuts Institute of Technology Ladkrabang (KMITL), Thailand in 1999 and Ph.D. in Electrical and Computer Engineering from the University of Manitoba, Canada in 2008. His research interests are in the area of energy harvesting for wireless communication, Internet of Things (IoT) and sensor networks. diff --git a/src/data/compiled_bios/4460.txt b/src/data/compiled_bios/4460.txt new file mode 100644 index 0000000000..34cc60ca00 --- /dev/null +++ b/src/data/compiled_bios/4460.txt @@ -0,0 +1 @@ + Marc Buchner Associate Dean, Academics Director, Virtual Worlds Gaming and Simulation Lab CSE Faculty Director, Program Evaluation and Assessment Associate Professor, Electrical Engineering & Computer Science Contact Information: Office Location: Olin 707 Office Hours: By appointment Phone Number: 216.368.4096 Email: mxb11@case.edu Education: Ph.D. Systems Science Michigan State University 1975 M.S. Systems Science Michigan State University 1972 B.S. Systems Science Michigan State University 1971 Research and Publications Research Interests: Computer gaming and simulation, virtual reality, software-defined radio, wavelets, joint time-frequency analysis Recent Publications: Avatar-based depression self-management technology: promising approach to improve depressive symptoms among young adults, Pinto MD,Hickman RL Jr,Clochesy J,Buchner M., Appl. Nurs. Res. 2013, Feb; 26(1): 45-8. Electronic Self-Management Resource Training: A Serious Game for Health,John M. Clochesy, PhD, Ronald L. Hickman, Jr., PhD, Melissa Pinto, PhD, Marc Buchner, PhD,Matthew DelBrocco, Christopher Pangrace, BS, Case Western Reserve University,Cleveland OH, USA, AMIA Proceedings, 2012. Furman E,Jasinevicius TR,Bissada NF,Victoroff KZ,Skillicorn R,Buchner M. Virtual reality distraction for pain control during periodontal scaling and root planing procedures. J Am Dent Assoc.2009 Dec; 140(12):1508-16. PMID: 19955069 Zhang GQ, White L, Hesse C, Buchner M, Mehregany M. Roadmap for a Departmental Website. Educause Quarterly. 2005; 28(3). Buchner M, Janjarasjitt S. Detection and Visualization of Tandem Repeats in DNA Sequences. IEEE Transactions on Signal Processing. 2003 Sept; 51(9): 22802287. : diff --git a/src/data/compiled_bios/4461.txt b/src/data/compiled_bios/4461.txt new file mode 100644 index 0000000000..b4d5237a19 --- /dev/null +++ b/src/data/compiled_bios/4461.txt @@ -0,0 +1 @@ + Vira Chankong Associate Professor, Electrical Engineering & Computer Science Contact Information: Office Location: Olin 708 Phone Number: 216.368.4054 Email: vxc2@case.edu Education: B.S./B.E. with honor (1971), double degree: Electrical Engineering-Mathematics/Physics, University of New South Wales, Australia M.Eng (1974): Systems Engineering, Asian Institute of Technology, Thailand Ph.D. (1977): Systems Engineering, Case Western Reserve University Research and Publications Research Interests: Dr. Chankong's research interests are in the areas of large-scale optimization, multiobjective optimization, logic-based discrete optimization, and intelligent computing. He has published several papers in multiple objective optimization, large-scale optimization, systems methodology, and applications of decision theory, optimization and information technology to medical research and engineering design and operation problems. His current research focuses on application of systems concepts and systems tools to radiation treatment planning, signaling pathways and other systems biology problems. His special interests are in the development of specialized large-scale optimization algorithms for treatment planning of Gamma Knife radiosurgery and Intensity Modulated Radiation Therapy, data mining, and supply chain management. Professor Chankong is a senior member of IEEE and IIE, and a member of SIAM and INFORMS. Recent Publications: V. Chankong and Y.Y. Haimes, Multiobjective Decision Making: Theory and Methodology , Dover Publications, New York, 2008 (first edition: Elsivier North Holland, New York, 1983) -- Book Kanchanaharuthai, V. Chankong, K. Loparo: Transient Stability and Voltage Regulation in Power Systems with Renewable Distributed Energy Resources, 2011 IEEE EnergyTech, Cleveland OH May 25-26, 2011 Small-Signal Stability Enhancement of Power Systems with Renewable Distributed Energy Resources, 18 th IFAC Congress, Milano, Italy, August 28-Sept 2, 2011 ( Preprint, in preparation for publication) Nonlinear Voltage Regulation of Power Systems with Renewable Distributed Energy Resources, in prepataion for publication, 2011 (in preparation for publication) B.F. Hobbs, S. Jitprapaikulsarn, S. Konda, V. Chankong, K. Loparo, D.J. Maratukalum, Analysis of the Value for Unit Commitment of Improved Load Forecasts , IEEE Trans. On Power Systems, vol. 14, No. 4, November 1999 Danthai Thongphiew, Vira Chankong, Fang-Fang Yin, Q. Jackie Wu, A Real-time Adaptive Radiation Therapy System for Intensity Modulated Radiation Therapy: An Application of Multi-Objective Optimization , J. of Industrial & Management Optimization, Vol. 4, No. 3, August 2008. Q. Jackie Wu, Danthai Thongphiew, Vira Chankong, Boonyanit Mathayomchan , Sua Yoo, W. Robert Lee,Fang-Fang Yin, Online Re-optimization of Prostate IMRT Plan for Adaptive Radiation Therapy , J. of Medical Physics, 2008, (also presented at 49 th AAPM annual meeting, Minneapolis, MN, July, 2007) : diff --git a/src/data/compiled_bios/4462.txt b/src/data/compiled_bios/4462.txt new file mode 100644 index 0000000000..e6d368dfff --- /dev/null +++ b/src/data/compiled_bios/4462.txt @@ -0,0 +1 @@ + Philip Feng T. Keith Glennan Fellow Associate Professor, Electrical Engineering & Computer Science Contact Information: Office Location: Glennan 715C Office Hours: New Research Positions Available! - for Postdoctoral Research Associates and M.S./Ph.D. Students: Semiconductor Devices Physics,NEMS/MEMS, Circuits & Systems, Advanced Materials. Self-motivated and talented candiates who have strong interests in exploring new nanodevices technologies please feel free to contact Dr. Feng via Email. Phone Number: 216.368.5508 Email: philip.feng@case.edu Website: http://nano.case.edu/ Education: Ph.D., California Institute of Technology (Caltech) Selected Awards & Honors: Case School of Engineering Research Award (2015) National Science Foundation CAREER Award (2015) Best Paper Award , The 61st American Vacuum Society (AVS) International Symposium, MEMS/NEMS Technical Group (2014, Advisee: Jaesung Lee) Winner, Best Student Paper Competition , IEEE International Frequency Control Symposium (IFCS) (2014, Advisee: Jaesung Lee) Case School of Engineering Graduate Teaching Award (2014) National Academy of Engineering (NAE) Grainger Foundation Frontiers of Engineering Award (2014) One of 81 Young Engineers Selected to National Academy of Engineering (NAE) Frontiers of Engineering (USFOE) Symposium (2013) Winner, Best Student Paper Competition , IEEE NEMS (2013, Advisee: Tina He) T. Keith Glennan Fellowship (2012) Innovation Incentive Award (VA - Louis Stokes Cleveland Medical Center, 2011) Draper Fisher Jurvetson (DFJ) Venture Challenge (Finalist, Menlo Park, CA, 2007) Research and Publications Research Interests: Nanoelectromechanical Systems (NEMS), Energy-Efficient Devices, Advanced Materials & Devices Engineering, Bio/Chemical Sensors & Biomedical Microsystems, RF/Microwave Devices & Circuits, Low-Noise Measurement & Precision Instruments Recent Publications: Recent Journal Articles (Citations > 3000, Since 2007): 1. Wang ZH, Islam A, Yang R, Zheng XQ, Feng PXL , " E nvironmental, Thermal, and Electrical Susceptibility of Black Phosphorus Field Effect Transistors ", Journal of Vacuum Science & Technology B 33 , 052202 (2015). Cover Article of JVST-B (Sep/Oct 2015 Issue), "Editor's Pick" Article, "Most Read" Article. 2. Yang R, He T, Tupta MA, Marcoux C, Andreucci P, Duraffourg L, Feng PXL , " Probing Contact-Mode Characteristics of Silicon Nanowire Electromechanical Systems with Embedded Piezoresistive Transducers ", Journal of Micromechanics & Microengineering (JMM) 25 , 095014 (2015). 3. He T, Zhang FC, Bhunia S, Feng PXL , " Silicon Carbide (SiC) Nanoelectromechanical Antifuse for Ultralow-Power One-Time-Programmable (OTP) FPGA Interconnects ", IEEE Journal of Electron Devices Society (JEDS) 3 , 323-335 (2015). 4. Wang ZH, Feng PXL , " Design of Black Phosphorus 2D Nanomechanical Resonators by Exploiting the Intrinsic Mechanical Anisotropy ", 2D Materials 2 , 021001 (2015). 5. Lee JS, Zheng XQ, Roberts RC, Feng PXL , " Scanning Electron Microscopy Characterization of Structural Features in Suspended and Non-Suspended Graphene by Customized CVD Growth ", Diamond & Related Materials 54 , 64-73 (2015). DOI: 10.1016/j.diamond.2014.11.012. 6. Yang R, Zorman CA , Feng PXL , " High Frequency Torsional-Mode Nanomechanical Resonators Enabled by Very Thin Nanocrystalline Diamond Diaphragms ", Diamond & Related Materials 54 , 19-25 (2015). DOI: 10.1016/j.diamond.2014.11.015. 7. * Wang ZH, * Lee JS, Feng PXL , " Spatial Mapping of Multimode Brownian Motions in High Frequency Silicon Carbide (SiC) Microdisk Resonators ", Nature Communications 5 , 5158 (2014). [*Equally-contributed authors] R&D Magazine Editor's Pick, Featured Story - " Researchers Discern the Shapes of High-Order Brownian Motions "(& 20+ other Sci/Tech News, & other media). pro-physik.de Feature Article - " Thermische Schwingungen Sichtbar Gemacht ". 8. * Yang R, * Zheng XQ, Wang ZH, Miller CJ, Feng PXL , " Multilayer MoS2 Transistors Enabled by a Facile Dry-Transfer Technique and Thermal Annealing ", Journal of Vacuum Science & Technology B 32 , 061203 (2014). [*Equally-contributed authors] Beneath the AVS Surface (AVS Newsletter) Feature Article - " Semiconductors: New Method Simplifies Fabrication of 2D Crystalline Transistors and Suspended Devices ". Cover Article of JVST-B (Nov/Dec 2014 Issue), Editor's Pick, Featured Article , "Most Read" Article of This Month. 9. Wang ZH, Jia H, Zheng XQ, Yang R, Wang ZF, Ye GJ, Chen XH, Shan J, Feng PXL , " Black Phosphorus Nanoelectromechanical Resonators Vibrating at Very High Frequencies ", Nanoscale 6 , DOI: 10.1039/C4NR04829F (2014). 10. Yang R, Wang ZH, Feng PXL , " Electrical Breakdown of Multilayer MoS2 Field-Effect Transistors with Thickness-Dependent Mobility ", Nanoscale 6 , 12383-12390 (2014). 11. Lee JS, Wang ZH, He KL, Shan J, Feng PXL , " A ir Damping of Atomically Thin MoS2 Nanomechanical Resonators ", Applied Physics Letters 105 , 023104 (2014). 12. Lu XY, Lee JY, Feng PXL , Lin Q, " High Q Silicon Carbide Microdisk Resonator ", Applied Physics Letters 104 , 181103 (2014). 13. Wang ZH, Feng PXL , " Dynamic Range of Atomically Thin Vibrating Nanomechanical Resonators ", Applied Physics Letters 104 , 103109 (2014). 14. Yang R, Wang ZH, Lee JS, Ladhane K, Young DJ, Feng PXL , " 6H-SiC Microdisk Torsional Resonators in a "Smart-Cut" Technology ", Applied Physics Letters 104 , 091906 (2014). 15. Ghosh S, Yang R, Kaumeyer M, Zorman CA, Rowan SJ, Feng PXL , Sankaran RM, " Fabrication of Electrically-Conductive Metal Patterns at the Surface of Polymer Films by Microplasma-based Direct Writing ", ACS Applied Materials & Interfaces 6 , 3099-3104 (2014). DOI: 10.1021/am406005a. 16. Wang ZH, Lee JS, He KL, Shan J, Feng PXL , " Embracing Structural Nonidealities and Asymmetries in Two-Dimensional Nanomechanical Resonators ", Scientific Reports 4 , Art. No. 3919 (2014). 17. Feng PXL , " T uning in to a Graphene Oscillator ", Nature Nanotechnology 8 , 897-898 (2013). [ News & Views Article, Invited by the Editor]. 18. Koumela A, Hentz S, Mercier D, Dupre C, Ollier E, Feng PXL , Purcell ST, Duraffourg L, " High Frequency Top-Down Junction-less Silicon Nanowire Resonators ", Nanotechnology 24 , 435203 (2013). 19. *Lee JS, *Wang ZH, He KL, Shan J, Feng PXL , " High Frequency MoS2 Nanomechanical Resonators ", ACS Nano 7 , 6086-6091, DOI: 10.1021/nn4018872 (2013). [*Equally-contributed authors]. ChemistryWorld of the Royal Society of Chemistry (RSC) - " Beyond Graphene ". Nanotechweb.org - " 2D Molybdenite Drumheads Vibrate at Very High Frequencies ". 20. Falk AL, Buckley BB, Calusine G, Koehl WF, Dobrovitski V, Politi A, Zorman CA, Feng PXL , Awschalom DD, " Polytype Control of Spin Qubits in Silicon Carbide ", Nature Communications 4 , 1819, DOI: 10.1038/ncomms2854 (2013). *Yang YT, *Callegari C, * Feng XL , Roukes ML, " Surface Adsorbate Fluctuations and Noise in Nanoelectromechanial Systems ", Nano Letters 11 , 1753-1759 (2011). [*Equally-contributed authors]. [ Supporting Information ] 21. Lu XY, Lee JY, Feng PXL , Lin Q, " A Silicon Carbide Microdisk Resonator ", Optics Letters 38 , 1304-1306 (2013). 22. Lee SW,Zamani H, Feng PXL , Sankaran RM, " Extraction of a Low-Current Discharge from a Microplasma for Nanoscale Patterning Applications at Atmospheric Pressure ", Journal of Vacuum Science & Technology B 30 ,010603 (2012). American Institute of Physics (AIP) News - " Patterning Under Pressure: Researchers Test a New Way to Manufacture Metal Nanostructures without the Need for a Vacuum ". 23.*Yang YT, *Callegari C, * Feng XL , Roukes ML, " Surface Adsorbate Fluctuations and Noise in Nanoelectromechanial Systems ", Nano Letters 11 , 1753-1759 (2011). [*Equally-contributed authors]. [ Supporting Information ] Caltech Features - May 27 2011 - " Bring in the (Nano) Noise ". Physics Today - Physics Update - " Tracking Adsorbed Atoms on a Nanoscale Mass Sensor ". Nanotechweb.org - " Nanoresonators Feel Noise ". 24. Feng XL , Matheny MH, Zorman CA, Mehregany M, Roukes ML, " Low Voltage Nanoelectromechanical Switches Based on Silicon Carbide Nanowires ", Nano Letters 10 , 2891-2896 (2010). 25. Karabalin RK, Matheny MH, Feng XL , Defay E, Le Rhun G, Marcoux C, Hentz S, Andreucci P, Roukes ML, " Piezoelectric Nanoelectromechanical Resonators Based on Aluminum Nitride (AlN) Thin Films ", Applied Physics Letters 95 , 103111 (2009). 26. Karabalin RK, Feng XL , Roukes ML, " Parametric Nanomechanical Amplification at Very High Frequency ", Nano Letters 9 , 3116-3123 (2009). Scientific American , Special Edition on Nanotechnology The Rise of Nanotech , vol. 17, no. 3, 2007 Featuring one of the parametric NEMS nanodevices I made in the cleanroom at Caltech. 27. Naik AK, Hanay MS, Hiebert WK, Feng XL , Roukes ML, " Towards Single-Molecule Nanomechanical Mass Spectrometry ", Nature Nanotechnology 4 , 445-450 (2009). Nature Nanotechnology News & Views - " Mass Spec Goes Nanomechanical ". Nanotechweb.org - " NEMS Weigh Biomolecules ". 28. *He R, * Feng XL , Roukes ML, Yang P, " Self-Transducing Silicon Nanowire Electromechanical Systems at Room Temperature ", Nano Letters 8 , 1756-1761 (2008). [*Equally-contributed authors]. 29. Feng XL , White CJ, Hajimiri A, Roukes ML, " A Self-Sustaining Ultrahigh-Frequency Nanoelectromechanical Oscillator ", Nature Nanotechnology 3 , 342-346 (2008). Nature Nanotechnology News & Views - " NEMS: Positive Feedback ". Nanotechweb.org - " NEMS Device Gets Active ". 30. Feng XL , He R, Yang P, Roukes ML, " Very High Frequency Silicon Nanowire Electromechanical Resonators ", Nano Lett ers 7 , 1953-1959 (2007). 31. Yang YT, Callegari C, Feng XL , Ekinci KL, Roukes ML, " Zeptogram-Scale Nanomechanical Mass Sensing ", Nano Lett ers 6 , 583-586 (2006). Nano Lett. - One of the " Most-Cited Articles of 2006 ". Science News Focus - " Tipping the Scales - Just Barely ", Science 312 , 683 (2006). [Featuring one of the nanodevices I have made.] Nature Research Highlights - " Measurement Science - Small Scale ", Nature 440 , 1092-1093 (2006). Physics News Update - " The Top Physics Stories of 2005 ", PNU 757 #1. Nano Lett. - One of the Most Accessed Articles published in quarter 2 of 2006 . Physics News Update - " Zeptogram Mass Detection - Weighing Molecules ", PNU 725 #1. New Scientist - " World's Most Sensitive Scales Weigh a Zeptogram ". Physorg.com - " Device for Weighing Individual Molecules ". Caltech News Release - " Caltech Physics Team Invents Device for Weighing Individual Molecules ". 32. Huang XMH, Feng XL , Zorman CA, Mehregany M, Roukes ML, " VHF, UHF and Microwave Frequency Nanomechanical Resonators " (invited article), New Journal of Physics 7 , Art. No. 247 (2005). "Highlights of 2005" by NJP . Downloaded >250 times within 19 days after on-line publication --> Highlighted as " IoP Select " article. Refereed Conference Papers (Most Recent Selected): 1. Hung PS, Feng XL , Fong KC, Schwab KC, Roukes ML, Graphene Week 2010 , College Park, Maryland, April 19-23 (2010). (talk & poster presentations). 2. Feng XL , Matheny MH, Karabalin RB, Zorman CA, Mehregany M, Roukes ML, Digest of Technical Papers, The 15th International Conference on Solid-State Sensors, Actuators and Microsystems (Transducers'09) , 2246-2249, Denver, Colorado, USA, June 21-25 (2009). (+talk, selection rate 16%). 3. Feng XL , He R, Yang P, Roukes ML, Digest of Technical Papers, The 14th International Conference on Solid-State Sensors, Actuators and Microsystems (Transducers'07) , 327-330, Lyon, France, June 10-14 (2007). (+talk, selection rate 13.5%). 4. Feng XL , Zorman CA, Mehregany M, Roukes ML, "Dissipation in Single-Crystal 3C-SiC Ultra-High Frequency Nanomechanical Resonators", Tech. Digest, The 12th Solid-State Sensors, Actuators and Microsystems Workshop (Hilton Head'06) , 86-89, Hilton Head, SC, June 4-8 (2006). (+talk, selection rate 10.3%, 24 out of 234). [see also: http://arxiv.org/abs/cond-mat/0606711 ] 5. Feng XL , Roukes ML, "Frequency Stability and Noise Characteristics of Ultra-High Frequency Nanoelectromechanical Resonators", Tech. Proc. Nanotech 2005, vol. 2, 254-257, Anaheim, CA, May 8-12 (2005). (+talk, selection rate 20%). : diff --git a/src/data/compiled_bios/4463.txt b/src/data/compiled_bios/4463.txt new file mode 100644 index 0000000000..ba55170822 --- /dev/null +++ b/src/data/compiled_bios/4463.txt @@ -0,0 +1 @@ + Michael Fu Assistant Professor, Electrical Engineering & Computer Science Contact Information: Office Location: Olin 414 Office Hours: Thursday 10-11a Phone Number: 368-0355 Email: mjf24@case.edu Website: http://engineering.case.edu/research/labs/interfaces-and-intervention/ Education: B.S. Electrical Engineering Computer Science, UC Berkeley Ph.D. Electrical Engineering, CWRU Certificate in Clinical Research, CWRU NIH KL2 Training Program, Cleveland CTSC Research and Publications Research Interests: Haptic Interfaces Virtual Environments and Video Games Human-Computer Interfaces Neurorehabilitation (Stroke, Spinal Cord Injury, Cerebral Palsy) Functional Electrical Stimulation Recent Publications: My Google Scholar Profile : diff --git a/src/data/compiled_bios/4464.txt b/src/data/compiled_bios/4464.txt new file mode 100644 index 0000000000..cacf497a68 --- /dev/null +++ b/src/data/compiled_bios/4464.txt @@ -0,0 +1 @@ + Mario Garcia-Sanz ARPA-E Program Director, U.S. Department of Energy , Washington DC. Professor andDirector of the Control & Energy Systems Center (CESC), http://cesc.case.edu Editor, International Journal of Robust and Nonlinear Control , Wiley. The Inaugural Milton and Tamar Maltz Professor in Energy Innovation Professor, Electrical Engineering & Computer Science Contact Information: Office Location: Olin 605 Phone Number: 216.368.5122 Email: mario@case.edu Website: http://cesc.case.edu/ProfMarioGS_bio.htm Education: - Ph.D., Control and Systems Engineering , University of Navarra TECNUN, Spain. - M.S./B.S., Electrical Engineering , University of NavarraTECNUN, Spain. Research and Publications Research Interests: Professor Garcia-Sanz's main research interest focuses on bridging the gap between advanced control theory and applications , with special emphasis in energy innovation, wind energy, power systems, spacecraft control, radio telescope control, water treatment plants, smart buildings, environmental and industrial applications. Applied engineering interest : to develop solutions to practical control engineering problems in energy systems, multi-megawatt wind turbines, renewable energy plants, electrical grid integration, energy storage, power systems, wastewater treatment plants, desalination systems, formation flying spacecraft, satellites with flexible appendages, heating systems, robotics, parallel kinematics, telescope control. Fundamental research interest : to gain understanding of multi-input-multi-output physical worlds, nonlinear plants, distributed parameter systems, plants with non-minimum phase, time delay and uncertainty, and to develop new methodologies to design quantitative robust controllers to improve the efficiency and reliability. Recent Publications: Selected Publications (15) . 1. M. Garcia-Sanz, Robust Control Engineering: Practical QFT Solutions , 600 pp., CRC Press, Taylor & Francis, USA, ISBN: 978-1-138-03207-1, 2017. ( Book ). 2. M. Garcia-Sanz, C.H. Houpis, Wind Energy Systems: Control Engineering Design , 625 pp., CRC Press, Taylor & Francis, USA, ISBN: 978-1-4398-2179-4, February 2012. ( Book ). 3. C.H. Houpis, S.J. Rasmussen, M. Garcia-Sanz, " Quantitative Feedback Theory. Fundamentals and applications , 2nd ed., 610 pp., CRC Press, Taylor & Francis, ISBN: 0-8493-3370-9. 2006. ( Book ). 4. M. Garcia-Sanz, QFT Control Toolbox: an interactive object-oriented Matlab CAD tool for Quantitative Feedback Theory . UPNA, CWRU, ESA-ESTEC. 2008-2017. http://cesc.case.edu ( Matlab Toolbox ). 5. M. Garcia-Sanz, DeltaGrids Toolbox for Matlab, for optimal design of electrical distribution networks . Codypower, 2013-2017. ( Matlab Toolbox ). 6. M. Garcia-Sanz, The Nyquist stability criterion in the Nichols chart , Int. J. Robust Non-Linear Control. Wiley. Vol.26, N.12, pp.26432651, 2016. 7. M. Garcia-Sanz, I. Eguinoa, S. Bennani. Non-diagonal MIMO QFT controller design reformulation . Int. J. Robust Non-Linear Control, Wiley, Vol.19, N.9, pp.1036-1064, July 2009. 8. M. Garcia-Sanz, J. Elso. Beyond the linear limitations by combining Switching & QFT. Application to Wind Turbines Pitch Control Systems . Int. J. Robust Non-Linear Control, Wiley, Vol.19, N.1, pp.40-58, January 2009. 9. M. Garcia-Sanz, I. Eguinoa, M. Barreras, S. Bennani. Non-diagonal MIMO QFT Controller Design for Darwin-type Spacecraft with large flimsy appendages . J. Dynamic Syst., Measur. & Control, ASME, Vol.130, pp.011006-1:011006-15, January 2008. 10. M. Garcia-Sanz, F. Y. Hadaegh, Load-Sharing Robust Control of Spacecraft Formations: Deep Space and Low Earth Elliptic Orbits . IET Control Theory and Applications (former IEE). Volume 1, Issue 2, pp. 475-484, March 2007. 11. M. Garcia-Sanz, A. Huarte, A. Asenjo, A Quantitative Robust Control Approach for Distributed Parameter Systems . Int. J. Robust Non-Linear Control, Wiley, Vol. 17, N.2-3, pp.135-153, January 2007. 12. M. Garcia-Sanz, I Egaa, Quantitative Non-diagonal Controller Design for Multivariable Systems with Uncertainty . Int. J. Robust Non-Linear Control, Wiley, Vol.12, pp.321-333, March 2002. 13. J. Elso, M. Gil-Martinez, M. Garcia-Sanz. Quantitative feedback control for multivariable model matching and disturbance rejection . Int. J. Robust Non-Linear Control, Wiley, Vol.27, N.1, pp.121-134, 2017. 14. T. Franke, T. Weadon, J. Ford, M. Garcia-Sanz, Correcting Encoder Interpolation Error on the Green Bank Telescope Using an Iterative Model-Based Identification Algorithm . Journal of Astronomical Telescopes, Instruments and Systems, 1(4), 044005, 2015. 15. J. Elso, M. Gil-Martinez, M. Garcia-Sanz. Quantitative feedback-feedforward control for model matching and disturbance rejection . IET Control Theory & Applications, Vol. 7, Issue 6, pp. 894-900, 2013. CV: In January 2018, Prof. Garcia-Sanz was appointed Program Director of the Advanced Research Projects Agency - Energy (ARPA-E) at the U.S. Department of Energy, in Washington DC. Since then, he is developing new programs and projects on advanced control engineering, renewable and conventional power generation, wind energy systems, smart grid technologies and water treatment plants and networks. With over 20 industrial patents, 250 research papers, 3 books, 2 Matlab toolboxes and 50 funded research projects, Dr. Mario Garcia-Sanz is one of the inventors of the TWT direct-drive variable-speed pitch-controlled multi-megawatt wind turbine , of the TWT variable-speed hydro-wind turbine and of the EAGLE airborne wind energy system , as well as the inventor of optimum planning algorithms for electrical distribution networks and of numerous advanced industrial controllers , among other innovations. Dr. Garcia-Sanz was a Full Professor at the Public University of Navarra -UPNA (1995-2009) in Pamplona, Spain, and a Research Scientist and Professor at the CEIT-IK4 research center (1988-1995) and at the University of Navarra -TECNUN (1988-1995) in San Sebastian, Spain. He also served as a Visiting Professor at the Control Systems Centre, UMIST (UK, 1995); at Oxford University (UK, 1996); at the Jet Propulsion Laboratory NASA-JPL (California, 2004); at the European Space Agency ESA-ESTEC (The Netherlands, 2008); and at Case Western Reserve University (Ohio, 2009). In 2009 Prof. Garcia-Sanz moved to Case Western Reserve University (CWRU), Cleveland, Ohio, as Professor at the Electrical Engineering and Computer Science Department, at the Mechanical Engineering and Aerospace Engineering Department (secondary appointment), and as the inaugural Milton and Tamar Maltz Endowed Chair Professor in Energy Innovation. He established the Control and Energy Systems Center , where he is currently the Director (http://cesc.case.edu) . Prof. Garcia-Sanz has been the Principal Investigator of over 50 funded research projects for industry, defense and space agencies and research centers. He also has worked as an expert on wind turbine design and control engineering in patent litigation related matters at the European Courts in the UK and Spain. Over the past two decades his laboratory has been globally recognized as one of the most active research groups in the study and application of Quantitative Feedback Theory (QFT) robust control engineering . In particular, Prof. Garcia-Sanz has developed new control theory in the QFT arena for multi-input multi-output (MIMO) plants, for distributed parameter systems (DPS), for time-delay processes and for nonlinear systems. In addition, Prof. Garcia-Sanz has applied this new control theory to numerous cutting-edge industrial systems and commercial products, including among others: - Wind energy systems : Nonlinear and robust control systems for large multi-megawatt variable-speed direct-drive multi-pole wind turbines (TWT 1.5, 1.65, 2.5 MW), including pitch control, yaw control, active/reactive power control and voltage control systems for a hight grid penetration level. - Spacecraft systems : Darwin mission, a formation flying high-precision telescope-type spacecraft with flexible appendages (ESA-ESTEC). The proposed MIMO QFT control solution achieved the best performance among all the participants in the European benchmark. - Environmental systems : The first QFT control system for a municipal waste water treatment plant (Crispijana, Vitoria, 300.000 people), with simultaneous nitrates and ammonia removal. - Radio telescope systems : The NRAO Green Bank Telescope (GBT) is the largest mobile radio telescope in the world. The proposed control solution dealt with the azimuth and elevation multi-motor systems and improved the telescope's frequency range of operation and precision. - Manufacturing systems : M.Torres converting machines for the lightest weight and most fragile structured tissue paper with simultaneous control of line speed and paper tension. - Smart cities : An adaptive robust control system for central heating systems (Giroa, CEIT). The smart building solution improved significantly the energy savings and temperature control and was awarded by the IET (London, UK). As a Full Professor of the Public University of Navarra and Senior Advisor for European companies Dr. Garcia-Sanz played a central role in the design and field experimentation of advanced commercial multi-megawatt wind turbines for industry over the last 25 years. Among others, he worked with Gamesa, Acciona, M.Torres, MTOI, IngeTeam, CENER, Eaton Corporation, Enercon and Siemens. Besides, a significant number of his former PhD students and Master students are currently principal investigators and head of departments of some of the principal wind energy companies and renewable energy labs worldwide. Prof. Garcia-Sanz's three books, "Robust Control Engineering: Practical QFT Solutions" , Taylor & Francis (2017), "Wind Energy Systems: Control Engineering Design" , Taylor & Francis (2012) and "Quantitative Feedback Theory: Theory and Applications" , Taylor & Francis (2006) are best-selling books in the QFT robust control and Wind turbine technology fields. His QFT Control Toolbox for Matlab is considered as the top CAD tool for designing quantitative robust control systems. In the electrical power systems arena Prof. Garcia-Sanz has also been involved with numerous industrial projects related to modeling, simulation, monitoring and control of the electrical grid. Among others, he developed Advanced fault detection systems for high voltage transmission networks , Active/reactive power and voltage control systems for wind turbines at a hight grid penetration level , and Optimum planning algorithms for electrical distribution networks for electrical utilities and companies like Iberdrola, REE, Arteche, Team, AEP, First Energy, ABB, EEQ, etc. In the spacecraft and aerospace fields Dr. Garcia-Sanz worked with the European Space Agency (ESA/ESTEC), NASA-JPL, US Air Force (AFIT), Sener, Deimos Space and the US National Radio Astronomy Observatory (NRAO-GBT). He has led a number of projects related to nonlinear and QFT robust control design for telescope-type spacecraft with very demanding specifications, for satellites with flexible structures, for formation flying spacecraft projects and for extra-large radio telescopes: Darwin mission, Laser Interferometer Space Antenna (Lisa Pathfinder) mission, High Precision Acquisition and Tracking System (HiPATS) mission, Proba-3 mission, and Advanced control systems for the Green Bank Telescope. In addition, for over 15 years Dr. Garcia-Sanz worked as the Senior Advisor for the President of the MTorres Group, leading the projects on Large multi-megawatt variable-speed direct-drive multi-pole wind turbines design and control (1.5, 1.65, 2.5 MW); Dynamic control of wind farms and grid integration; Water desalination systems using renewable energy; Solar energy systems; Offshore wind turbines for extreme weather conditions; Ocean waves energy conversion; Design of a new generation of Hydro-Wind turbines; Offshore and onshore wind farm development; Parallel kinematics and advanced robots for carbon fiber manufacture in aerospace and wind energy industry; Advanced paper converting machines; etc. As an entrepreneur Dr. Garcia-Sanz founded CoDyPower LLC , a control, dynamics and power system consulting firm specialized in control systems, wind energy and optimum planning of electrical distribution networks. The company works in the U.S.A., Europe and Latin America. One of the company's latest projects is the optimum design of the electrical distribution network for the Historic Center of Quito (UNESCO World Heritage Site), in Ecuador. The design was made with the optimum planning algorithms and the DeltaGrids toolbox for Matlab developed by Prof. Garcia-Sanz for electrical distribution systems. Dr. Garcia-Sanz has been NATO/RTO Lecture Series Director for Advanced Control of Unmanned Air Vehicles in 2007 (LS SCI-175), and for Advanced Autonomous Formation Control in 2008 (LS SCI-195); and NATO/RTO Lecturer for Robust Integrated Control Systems in 2003 (LS SCI-236), for Robust Control Methods in 2005 (LS SCI-166), and for Spacecraft Control in 2009 (LS SCI-209). Prof. Garcia-Sanz is Editor of the International Journal of Robust and Nonlinear Control, Wiley, as an expert on robust control in the frequency domain and applications. He has also served as Editor of the Revista Iberoamericana de Automatica e Informatica Industrial, as an expert on technology; and four times as Guest Editor of international journals: three for the International Journal of Robust and Nonlinear Control, as an expert on Robust frequency domain (Special Issue June-2003), on Quantitative Feedback Theory (Special Issue January-2007), and on Wind turbine control (Special Issue 2008); and one for the IET Control Theory and Applications (former IEE), as an expert on Cooperative control of spacecraft flying in formation (Special Issue March-2007). Dr. Garcia-Sanz is a member of IFAC and IEEE Technical Committees and has been invited to give special courses in over 20 countries, including: NASA-JPL, Pasadena, CA-US; ESA-ESTEC, The Netherlands; NASA-Ames, San Francisco, CA-US; NASA-Glenn, Cleveland, Ohio-US; Univ. Southern California, Los Angeles, CA-US; Polytechnic Setubal, Portugal; Bologna Univ., Italy; Hamilton Institute, Dublin, Ireland; UPC, Barcelona, Spain; UV, Valladolid, Spain; UNED, Madrid, Spain; ETH, Zurich, Switzerland; Swedish Defense Research Agency, Sweden; Polytechnic Univ. Bucharest, Romania; Rostock Univ., Germany; Univ. Florence, Italy; Univ. California-Davis, CA-US; AFIT, Dayton, Ohio-US; Haifa, Israel; Univ. Natal, South Africa; Univ. of Central Florida, Orlando, FL-US; Univ. Maryland Baltimore County, US, etc. Prof. Garcia-Sanz has been Plenary Speaker at international conferences (ROCOND, IFAC; ICREPQ, EA4EPQ; NAECON, IEEE; NRAO GBT, ARPA-E Summit, etc) and General Chair of the 2001 QFT robust control conference. He was also awarded, among others, the IEE/IET Heaviside Prize (UK) in 1995 for his work in adaptive control, the BBVA/UPNA research award (Spain) in 2001, the Diekhoff/CWRU Teaching Award (USA) in 2012, and a number of best national research project awards, best conference paper awards and university teaching awards. Professor Garcia-Sanz's main research interest is on bridging the gap between advanced control theory and industrial applications, with special emphasis in energy innovation, wind energy, power systems, smart cities, spacecraft and telescope control, water treatment plants, environmental control and industrial applications. : diff --git a/src/data/compiled_bios/4465.txt b/src/data/compiled_bios/4465.txt new file mode 100644 index 0000000000..1dbce3bb36 --- /dev/null +++ b/src/data/compiled_bios/4465.txt @@ -0,0 +1 @@ + Evren Gurkan-Cavusoglu Assistant Professor, Electrical Engineering & Computer Science Contact Information: Office Location: Olin 706 Phone Number: 216-368-4463 Email: exg44@case.edu Education: Ph.D., Middle East Technical University, Ankara, Turkey, 2003 MBA, Case Western Reserve University, Cleveland, OH, USA, 2016 M.S., The University of Sheffield, Sheffield, UK, 1997 B.S., Middle East Technical University, Ankara, Turkey, 1996 Research and Publications Research Interests: Systems and control theory, systems biology, computational biology, biological system modeling, signal processing applied to biological systems, signal processing Dr. Gurkan-Cavusoglu's research interests are in the general areas of systems and control theory, with applications in systems biology, computational biology, biological system modeling, and signal processing applied to biological systems. She has developed cell cycle models to study the effects of different cancer treatment strategies on cell cycle dynamics, and the dynamical models of DNA repair pathways (mismatch repair, base excision repair and non-homologous end joining pathways) to quantitatively study the role of these pathways in the improvement of therapeutic gain in cancer treatment. Recent Publications: Journal Papers 1. SCD-Biochip: A Functional Adhesion Assay for Monitoring Sickle Cell Disease, Y. Alapan, A. Adhikari, C. Kim, K. Gray, E. Gurkan-Cavusoglu, J. A. Little, U. A. Gurkan, Translational Research, Jul;173:74-91, 2016. (DOI: 10.1016/j.trsl.2016.03.008) 2. Quantitative Analysis of the Effects of Iododeoxyuridine and Ionizing Radiation Treatment on the Cell Cycle Dynamics of DNA Mismatch Repair Deficient Human Colorectal Cancer Cells, E. Gurkan-Cavusoglu, J. E. Schupp, T. J. Kinsella, K. A. Loparo, IET Systems Biology 7(4), pp. 114-124, 2013. (DOI: 10.1049/iet-syb.2012.0050) 3. Developing an In Silico Model of the Modulation of Base Excision Repair using Methoxyamine for More Targeted Cancer Therapeutics, Gurkan-Cavusoglu E., Avadhani S., Liu L., Kinsella T. J., Loparo K. A., IET Systems Biology 7(2), pp. 27-37, 2013. (DOI: 10.1049/iet-syb.2011.0045) 4. Integration of principles of systems biology and radiation biology: toward development of in silico models to optimize IUdR-mediated radiosensitization of DNA mismatch repair-deficient (damage tolerant) human cancers, Kinsella T. J., Gurkan-Cavusoglu E., Du W., Loparo K. A., Frontiers in Oncology, 1, 2011. 5. Feature identification in circadian rhythms of mice strains using in vivo information, Gurkan E., Olszens K.R., Nadeau J.H., Loparo K.A., Mammalian Genome 19(5), pp. 366-77, 2008. 6. Probabilistic Modeling of DNA Mismatch Repair Effects on Cell Cycle Dynamics and Iododeoxyuridine-DNA Incorporation, Gurkan E., Schupp J.E., Aziz M.A., Kinsella T.J., and Loparo K.A., Cancer Research 67(22), pp. 10993-11000, 2007. 7. Antibiotic-induced enterococcal expansion in the mouse intestine occurs throughout the small bowel and correlates poorly with suppression of competing flora, Laktiov V., Hutton-Thomas R., Meyer M., Gurkan E., and Rice L.B., Antimicrobial Agents and Chemotherapy 50(9), pp. 3117-23, 2006. 8. Stable controller design for TS fuzzy systems based on Lie algebras, Banks S.P., Grkan E., Erkmen I., Fuzzy Sets and Systems 156/2, pp. 226-248, 2005. 9. Two-Way Fuzzy Adaptive Identification and Control of a Flexible-joint Robot Arm, Grkan E., Erkmen I. and Erkmen A.M., Special Issue on Intelligent Learning and Control of Robotics and Intelligent Machines in Unstructured Environments, Information Sciences 145/1-2, pp. 13-43, 2002. Conference Papers (Full-Paper Peer-Reviewed Archival Conferences) 1. Computational Analysis of Androgen Receptor Dependent Radiosensitivity in Prostate Cancer, M. Qian, A. Almasan, E. Gurkan-Cavusoglu, Proc. of the 38th Annual International IEEE EMBS Conference, 2016. 2. Analysis of Cell Cycle Dynamics Using Probabilistic Cell Cycle Models, Gurkan-Cavusoglu E., Schupp J. E., Kinsella T.J., Loparo K. A., Proc. of the 33rd Annual International IEEE EMBS Conference, pp. 141 144, 2011. 3. A Conceptual Modeling Framework for the Study of DNA Mismatch Repair Pathway to Improve Therapeutic Gain in Cancer Treatment, Gurkan E., Schupp J.E., Kinsella T.J., and Loparo K.A., Proc. of the IEEE/NIH BISTI 2007 Life Science Systems and Applications Workshop (LISSA 2007), Bethesda, MD, pp. 179 182, 2007. 4. Stable 2-Way Fuzzy Adaptive Control of a Flexible-Joint Robot Arm, Grkan E., Erkmen A. M. and Erkmen I., Proc. of the 16th IFAC World Congress, 2005. 5. Systematic Design of a Stable Fuzzy Controller for a Robotic Manipulator Using Describing Function Technique, Grkan E., Proc. of the 6th International FLINS Conference, pp. 428-433, 2004. 6. Stable Controller Design of the T-S Fuzzy Model of a Flexible-Joint Robot Arm based on Lie Algebra, Grkan E., Banks S.P. and Erkmen I., Proc. of the 42nd IEEE Conference on Decision and Control, Maui, HI, pp. 4717-4722, December 2003. 7. Equivalent Linearization of 2-Way Fuzzy Adaptive System under Nonparametric Uncertainty and Inconsistency, Grkan E., Banks S.P., Erkmen A.M. and Erkmen I., Proc. of the 5th International FLINS Conference, pp. 453-460, 2002. 8. Evaluation of Inconsistency in a 2-Way Fuzzy Adaptive System Using Shadowed Sets, Grkan E., Erkmen A.M. and Erkmen I., Proc. of 31st IEEE International Symposium on Multiple-Valued Logic, pp. 109-115, 2001. 9. Modelling and Minimizing Uncertainty, Grkan E., Erkmen A.M. and Erkmen I., Proceedings of Brain Machine Workshop, pp. 157-170, 2000. 10. Sezgisel 2-Ynl Adaptif Bulank Kontrol Sistemlerinde Tutarszlklar Azaltma, Grkan E., Erkmen A.M. and Erkmen I., Proc. of Otomatik Kontrol Ulusal Toplants, pp. 235-238, 2000 11. Reducing Inconsistencies in Intuitionistic 2-Way Adaptive Fuzzy Control Systems, Grkan E., Erkmen A.M. and Erkmen I., Proc. of the 4th International FLINS Conference, pp. 289-296, 2000. 12. Intuitionistic, 2-Way Adaptive Fuzzy Control, Grkan E., Erkmen A.M. and Erkmen I., Proc. of IEEE International Conference on Robotics and Automation, pp. 2470-2475, 1999. : diff --git a/src/data/compiled_bios/4466.txt b/src/data/compiled_bios/4466.txt new file mode 100644 index 0000000000..499aa11fb8 --- /dev/null +++ b/src/data/compiled_bios/4466.txt @@ -0,0 +1 @@ + Ming-Chun Huang Assistant Professor, Electrical Engineering & Computer Science Contact Information: Office Location: Glennan 514B Phone Number: (216) 368-0397 Email: mxh602@case.edu Website: http://engineering.case.edu/groups/sail Education: Ph.D. Computer Science at University of California, Los Angeles (UCLA) M.S Electrical Engineering at University of Southern California (USC) B.S Electrical Engineering at National Tsing Hua University, Taiwan (NTHU) Research and Publications Research Interests: Mobile Health (mHealth) Innovations, Wearable Prototyping, Streaming Data Visualization, Privacy-preserving Deep Learning on Mobile Platforms, Internet of Sustainable Things ( Click Here for the Most Recent Updates ) Recent Publications: Dr. Huang is the director of Sensing and Interaction Laboratory (SAIL@CWRU) and Mobile Health Laboratory (mHealth@CWRU). Dr. Huang is also an investigator in the Advanced Platform Technology Center (APTC), a VA-funded Center of Excellence focused on the development of new medical/health technologies to improve function of patients with motor function impairment and disability. He aims to create novel devices and analytical algorithms that offer enhanced functionality and performance over conventional tools and technologies in terms of portability, rapid analysis time, and user-friendly operation. His research and education vision is to explore and share creative solutions to address current and emerging challenges facing our society in the 21st century including wearables as biomarkers in clinical development, workplace and community-based medical and health services improvement. For the nature of richness and high-impact of the topics involved, his research will immediately generate a plethora of new knowledge in aspects ranging from innovative sensing technology, advanced data analytics methodology, and optimized clinical decision-making and risk assessment. Our recent publications can be found here . : diff --git a/src/data/compiled_bios/4467.txt b/src/data/compiled_bios/4467.txt new file mode 100644 index 0000000000..98a7ed2459 --- /dev/null +++ b/src/data/compiled_bios/4467.txt @@ -0,0 +1 @@ + Gregory Lee Assistant Professor, Electrical Engineering & Computer Science Contact Information: Office Location: Glennan #516 Phone Number: (216) 368-4079 Email: leegs@case.edu Education: PhD, MS, Electrical Engineering, University of Washington BA, Physics, Whitman College Research and Publications Research Interests: Kinematic analysis of the tongue and jaw to identify and characterize speech sound disorders and the development of interventions Robotic systems for use in agriculture Approaches to simplify object manipulation in semi-structured environments Development of security designed for use in robots Development of security enhancement to the Interoperable Telesurgery Protocol (SITP) in collaboration with the University of Washington Recent Publications: Venator, E., G. Lee, and W. Newman, "Hardware and Software Architecture of ABBY: An Industrial Mobile Manipulator", In Proceedings of the IEEE International Conference on Automation Science and Engineering (CASE), Madison, Wisconsin, IEEE, 08/2013. Cockrell, S., G. Lee, and W. Newman, "Determining Navigability of Terrain Using Point Cloud Data", In Proceedings of the International Conference on Rehabilitation Robotics (ICORR), Seattle, WA, IEEE, 06/2013. Vick, J., T. Campbell, and G. S. Lee, "Characteristic 3D EMA Tongue Shapes for Five Consonants", American Speech-Language Hearing Association Annual Convention, Atlanta, GA, 11/2012. Smith, A., G. Lee, and W. Newman, "Analysis of hybrid fuel-cell/stirling-engine systems for domestic combined heat and power", In Proceedings of the IEEE EnergyTech Conference (EnergyTech), Cleveland, OH, IEEE, 05/2012. Ferrick, A. J., J. Fish, E. Venator, and G. Lee, "UAV obstacle avoidance using image processing techniques", In Proceedings of the IEEE International Conference on Technologies for Practical Robot Applications (TePRA), Woburn, MA, IEEE, 04/2012. : diff --git a/src/data/compiled_bios/4468.txt b/src/data/compiled_bios/4468.txt new file mode 100644 index 0000000000..a37c483455 --- /dev/null +++ b/src/data/compiled_bios/4468.txt @@ -0,0 +1 @@ + Pan Li Assistant Professor, Electrical Engineering & Computer Science Contact Information: Office Location: Olin 612 Phone Number: 216-368-0382 Email: lipan@case.edu Website: http://cse-apps2.case.edu/panli/ Education: Ph.D., Electrical and Computer Engineering, University of Florida, Gainesville, FL, 2009 B.E., Electriacl Engineering, Huazhong University of Science and Technology, Wuhan, China, 2005 Research and Publications Research Interests: Network science and economics (e.g., optimization, capacity and connectivity) Energy systems (e.g., smart grids, renewable energy systems) Security and privacy (e.g., mobile networks, distributed systems, cyber-physical systems, Internet of Things) Big data (e.g., large-scale data analytics and computing, social networks, smart health, bioinformatics) : diff --git a/src/data/compiled_bios/4469.txt b/src/data/compiled_bios/4469.txt new file mode 100644 index 0000000000..41270052c5 --- /dev/null +++ b/src/data/compiled_bios/4469.txt @@ -0,0 +1 @@ + Wei Lin NSF CAREER Award Warren E. Rupp Endowed Assistant Professorship JSPS Fellow Robert J. Herbold Faculty Fellow IEEE Fellow Professor, Electrical Engineering & Computer Science Contact Information: Office Location: Olin 607 Office Hours: (currently on sabbatical leave) Phone Number: (216)368-4493, Fax: (216)368-6888 Email: linwei@case.edu Website: http://engineering.case.edu/groups/nonlinear/ Education: Sc.D. , Systems Science and Mathematics, Washington University, St. Louis, 1993 M.S. , Systems Science and Mathematics, Washington University, St. Louis, 1991 M.S. , Electrical Engineering, Huazhong University of Science and Technology,Wuhan, China, 1986 B.S. , Electrical Engineering, Dalian University of Technology, China, 1983 Research and Publications Research Interests: Nonlinear control, dynamics systems with time-delay, homogeneous systems theory, robust and adaptive control, system parameter estimation and fault detection, nonlinear control applications to under-actuated mechanical systems, biologically-inspired systems, renewable energy, power systems and smart grids. Google Scholar --- use the following link to download my papers https://scholar.google.com/citations?hl=en&user=meBtX7EAAAAJ&view_op=list_worksdetails Recent Publications: [R18] W. Lin, R. Kanya and P. Radom, "L_gV-Type Adaptive Controllers for Uncertain Non-Affine Systems and Application to a DC-Microgrid with PV and Battery," IEEE Trans. Automat. Contr., Vol. 64, No. 5, pp. (2019). Published online on August 8, 2018. DOI: 10.1109/TAC.2018.2864268 [R17] W. Lin and W. Wei, "Semi-Global Asymptotic Stabilization of Lower-Triangular Systems by Digital Output Feedback," IEEE Trans. Automat. Contr., Vol. 64, No. 5, pp. (2019). Published online on August 8, 2018. DOI: 10.1109/TAC.2018.2864259 [R16] X. Zhang, W. Lin and Y. Lin, "Iterative Changing Supply Rates, Dynamic State Feedback, and Adaptive Stabilization of Time-Delay Systems," IEEE Trans. Automat. Contr., Vol. 64, No. 2, pp. 751-758 (2019). DOI 10.1109/TAC.2018.2838319. [R15] Y. Zhang, G. Tao, M. Chen, W. Lin and Z. Q. Zhang, ``Relative Degrees and Implicit Function Based Control of Discrete-Time Non-Canonical Form Neural Network Systems,'' IEEE Trans. on Cybernetics, (2019). Published online on Sept. 28, 2018. DOI: 10.1109/TCYB.2018.2869335 [R14] H.Y. Zhao, M.G. Hong, W. Lin and K. A. Loparo, ``Voltage and Frequency Regulation of Microgrid With Battery Energy Storage Systems,'' IEEE Trans. on Smart Grid, Vol. 10, No. 1, pp. 414-424 (2019). DOI: 10.1109/TSG.2017.2741668 [R13] R. Pongvuthithum, K. Rattanamongkhonkun and W.Lin , ``Nonsmooth feedback stabilization of a class of nonlinear systems with unknown control direction and time delay,'' Int. J. of Robust and Nonlinear Control, Vol. 28, pp. 5358-5374 (2018). DOI: 10.1002/rnc.4317 [R12] X. Zhang, W. Lin and Y. Lin , "Adaptive Control of Time-Delay Cascade Systems with Unknown Parameters by Partial State Feedback," Automatica, Vol. 94, pp. 45-54 (2018). [R11] R. Pongvuthithum, K. Rattanamongkhonkun and W.Lin , "Asymptotic Regulation of Time-Delay Nonlinear Systems with Unknown Control Directions," IEEE Trans. Automat. Contr., Vol. 63, No. 5, pp. 1495-1502 (2018). [R10] W. Lin and W. Wei, ``Robust Control of a family of Uncertain Nonminimum-Phase Systems via Continuous-time and Sampled-Data Output Feedback,'' Int. J. of Robust and Nonlinear Control, Vol 28, pp. 1440-1455 (2018). [R9] Z. Dai and W. Lin, ``Adaptive Estimation of Three-Phase Grid Voltage Parameters under Unbalanced Faults and Harmonic Disturbances,'' IEEE Trans. on Power Electronics , Vol. 32, pp. 5613-5627 (2017). [R8] W. Lin, Z.T. Lu and W. Wei, "Asymptotic Tracking Control for Wind Turbines in Variable Speed Mode, " IEEE/CAA Journal of Automatic Sinica, A Special Issue on Control and Optimization in Renewable Energy Systems, Vol. 4, No. 3, pp. 569-576 (2017). [R7] X. Zhang, W. Lin and Y. Lin, "Dynamic Partial State Feedback Control of Cascade Systems with Time-Delay," Automatica, Vol. 77, No. 3, pp. 370-379 (2017). [R6] X. Zhang, W. Lin and Y. Lin, "Nonsmooth Feedback Control of Time-Delay Systems: A Dynamic Gain Based Approach," IEEE Trans. Automat. Contr., Vol. 62, No. 1, pp. 438-444 (2017). [R5] Z.J. Liu, W. Lin, Y.L. Geng and P. Yang, "Intent Pattern Recognition of Lower-limb Motion Based on Mechanical Sensors, " IEEE/CAA Journal of Automatic Sinica, Vol. 4, No. 4, pp. 651-660 (2017). [R4] T. Cui, W. Lin, Y.Z. Sun, J. Xu and H. Zhang, "Excitation Voltage Control for Emergency Frequency Regulation of Island Power Systems with Voltage-Dependent Loads," IEEE Trans. on Power Systems, Vol. 31, No. 2, pp. 1204-1217 (2016). [R3] W. Lin, W. Wei and G.Q. Ye, "Global Stabilization of a Class of Nonminimum-Phase Nonlinear Systems by Sampled-Data Output Feedback," IEEE Trans. Automat. Contr., Vol. 61, No. 10, pp. 3076-3082 (2016). [R2] W. Lin and J. F. Wei, "Output Feedback Control for a Class of Nonminimum-Phase Nonlinear Systems," Int. J. of Robust and Nonlinear Control, Vol. 26, pp. 3631-3644 (2016). [R1] Z.Y. Dai, W. Lin and H. Lin, "Estimation of Single-Phase Grid Voltage Parameters with Zero Steady-State Error," IEEE Trans. on Power Electronics, Vol. 31, No. 5, pp. 3867-3879 (2016). CV: I. Selected Papers [S20] W. Lin and H. Lei, "Taking advantage of homogeneity: a unified framework for output feedback control of nonlinear systems, " Proc. of the 7th IFAC Nonlinear Control Systems Symposium, Pretoria, South Africa, August 22-24, pp. 27-38 (2007) (Plenary Lecture). IFAC Proceedings Volumes 40 (12), 1191-1202. A full version appeared in Int. J. of Robust & Nonlinear Contr., Vol. 19, pp. 692-723 (2009). [S19] C. Qian and W. Lin, "A Continuous Feedback Approach to Global Strong Stabilization of Nonlinear Systems," IEEE Trans. Automat. Contr., Vol. 46, No. 7, pp. 1061-1079 (2001). [S18] C. J. Qian and W. Lin, "Recursive Observer Design, Homogeneous Approximation, and Nonsmooth Output Feedback Stabilization of Nonlinear Systems, " IEEE Trans. Automat. Contr., Vol. 51, No. 9, pp. 1457-1471 (2006). [S17] B. Yang and W. Lin, "Robust Output Feedback Stabilization of Uncertain Nonlinear Systems with Uncontrollable and Unobservable Linearization, " IEEE Trans. Automat. Contr., Vol. 50, No. 5, pp. 619-630 (2005). [S16] B. Yang and W. Lin, "Homogeneous Observers, Iterative Design, and Global Stabilization of High-Order Nonlinear Systems by Smooth Output Feedback, " IEEE Trans. Automat. Contr., Vol. 49, No. 7, pp. 1069-1080 (2004). [S15] C. Qian and W. Lin, "Practical Output Tracking of Nonlinear Systems with Uncontrollable Unstable Linearization," IEEE Trans. Automat. Contr., Vol. 47, No.1, pp. 21-36 (2002). [S14] W. Lin and C. Qian, "Adaptive Control of Nonlinearly Parameterized Systems: The Smooth Feedback Case, " IEEE Trans. Automat. Contr., Vol. 47, No. 8, pp. 1249-1266 (2002). [S13] W. Lin and C. Qian, "Adaptive Control of Nonlinearly Parameterized Systems: A Nonsmooth Feedback Framework," IEEE Trans. Automat. Contr., Vol. 47, No. 5, pp. 757-774 (2002). [S12] W. Lin and C. Qian, "Adding One Power Integrator: A Tool for Global Stabilization of High-Order Lower-Triangular Systems," Systems and Control Letters, Vol. 39, No. 5, pp. 339-351 (2000). [S11] H. Lei and W. Lin, "Universal Adaptive Control of Nonlinear Systems with Unknown Growth Rate by Output Feedback, " Automatica, Vol. 42, pp. 1783-1789 (2006). [S10] X. Huang, W. Lin and B. Yang, "Global Finite-Time Stabilization of a Class of Uncertain Nonlinear Systems, " Automatica, Vol. 41, pp. 881-888 (2005). [S9] C. Qian and W. Lin, "Output Feedback Control of a Class of Nonlinear Systems: A Non-Separation Principle Paradigm, " IEEE Trans. Automat. Contr., Vol. 47, No. 10, pp. 1710-1715 (2002). [S8] W. Lin and R. Pongvuthithum, "Adaptive Output Tracking of Inherently Nonlinear Systems with Nonlinear Parameterization, " IEEE Trans. Automat. Contr., Vol. 48, pp. 1737-1749 (2003). [S7] W. Lin and T. Shen, "Robust Passivity and Feedback Design for Minimum-Phase Nonlinear Systems with Structural Uncertainty," Automatica, Vol. 35, No. 1, pp. 35-47 (1999). [S6] A. Isidori and W. Lin, ``Global L 2 -Gain Design for a Class of Nonlinear Systems," Systems and Control Letters, Vol. 34, No.5, pp. 295-302 (1998). [S5] W. Lin, "Global Asymptotic Stabilization of General Nonlinear Systems with Stable Free Dynamics via Passivity and Bounded Feedback," Automatica, Vol. 32, pp. 915-924 (1996). [S4] W. Lin and C. I. Byrnes, " H -infinity Control of Discrete-Time Nonlinear Systems," IEEE Trans. Automat. Contr., Vol. 41, pp. 494-510 (1996). [S3] W. Lin, "Feedback Stabilization of General Nonlinear Control Systems: a Passive System Approach," Systems and Control Letters, Vol. 25, pp. 41-52 (1995). [S2] W. Lin and C. I. Byrnes, "Discrete-Time Nonlinear H -infinity Control with Measurement Feedback," Automatica, Vol. 31, pp. 419-434 (1995). [S1] C. I. Byrnes and W. Lin, "Losslessness, Feedback Equivalence and the Global Stabilization of Discrete-Time Nonlinear Systems," IEEE Trans. Automat. Contr., Vol. 39, pp. 83-98 (1994). II. Editorships 1999-2001 Associate Editor, IEEE Transactions on Automatic Control 2002-2003 Guest Editor, Special Issue on ``New Directions in Nonlinear Control,'' IEEE Trans. Automat. Contr. 2002-2005 Associate Editor, Automatica 2011-Present Associate Editor, Int. J. of Robust and Nonlinear Control 2005-2010 Subject Editor, Int. J. of Robust and Nonlinear Control 2003-2008 Associate Editor, J. of Control Theory and Applications III. Invited Plenary Addresses 2016 Plenary Speaker, The 8th Asia-Pacific Power and Energy Engineering Conference (APPEEC'16), Suzhou, China, April 15-17 2011 Plenary Speaker, International Conference on Applied, Computational Mathematics and Optimization, Chiang Mai, Thailand, January 6-10 2009 Plenary Speaker, 2nd International Conference on Intelligent Networks and Systems, Tianjin, China, November 1-3 2009 Semi-Plenary Speaker, 21st Chinese Control and Decision Conference, Guilin, June 17-19 2007 Plenary Speaker, 7th IFAC Symposium on Nonlinear Control Systems (NOLCOS'07), Pretoria, South Africa, August 22-24 2004 Semi-Plenary Speaker, 6th IFAC Symposium on Nonlinear Control Systems (NOLCOS'04), Stuttgart, Germany, September 1-3 2001 Keynote Speaker, 4th Nonlinear Control Network Workshop: Nonlinear and Adaptive Control, Sheffield, U.K., June 25-28 : diff --git a/src/data/compiled_bios/447.txt b/src/data/compiled_bios/447.txt new file mode 100644 index 0000000000..ce2e6ef0e1 --- /dev/null +++ b/src/data/compiled_bios/447.txt @@ -0,0 +1 @@ +Home Transfer Learning Publications Talks Honors Teaching Services Group CFP Sinno Jialin Pan (Ph.D.) [ Google Scholar Profile ] Nanyang Assistant Professor School of Computer Science and Engineering Nanyang Technological University (NTU) Singapore 639798 Cluster Deputy Director Data Science and AI Research Centre (DSAIR) NTU Singapore News I am looking for research assistants and postdocs working on sensor-based predictive maintenance using advanced machine learning techniques. Please send me your CV if you are interested. I am also looking for PhD students under the Alibaba Talent Programme . Work Experience School of Computer Science and Engineering, College of Engineering, Nanyang Technological University (NTU), Singapore. 2018.11 - present: AI & Cybersecurity Deputy Program Director, HP-NTU Digital Manufacturing Corporate Lab 2018.02 - present: Cluster Deputy Director, DSAIR 2014.11 - present: Nanyang Assistant Professor 2014.06 - 2014.11: Adjunct Assistant Professor 4Paradigm Inc., Beijing, China. 2018.01 - present: Consultant Data Analytics Department, Institute for Infocomm Research (I2R), Agency for Science, Technology and Research (A*STAR), Singapore. 2015.01 - 2015.12: Consultant 2013.05 - 2014.11: Lab Head, Text Analytics 2013.10 - 2014.11: Scientist II 2014.01 - 2014.11: Deputy Co-Director, I2R-NEC Joint Labs 2012.09 - 2013.04: Deputy Lab Head, Text Analytics 2010.11 - 2013.09: Scientist I Department of Computer Science, School of Computing, National University of Singapore (NUS), Singapore. 2013.04 - 2014.11: Adjunct Assistant Professor Digital China, Guangzhou, China. 2005.07 - 2006.01: Software Engineer Education Ph.D. in Computer Science (2011), Hong Kong University of Science and Technology (HKUST), Hong Kong. M.S. in Applied Mathematics (2005), Sun Yat-Sen University, Guangzhou, China. B.S. in Applied Mathematics (2003), Sun Yat-Sen University, Guangzhou, China. Visiting Scholar and Intern Experience 2009.07 - 2010.02: Research Intern, Machine Learning Group, Microsoft Research Asia (MSRA), Beijing, China. 2009.01 - 2009.02: Visiting Scholar, Department of Computer Science, California Institute of Technology (Caltech), CA, USA. 2008.09 - 2009.01: Visiting Scholar, Machine Learning Department, Carnegie Mellon University (CMU), PA, USA. Contact Information Office: Block N4, Room #02b-44 Phone: +65 6790 4601 Email: sinnopan (AT) ntu.edu.sg Postal Address: 50 Nanyang Avenue, Block N4 #02a-32, Singapore 639798 Sinno J. Pan@NTU, Singapore diff --git a/src/data/compiled_bios/4470.txt b/src/data/compiled_bios/4470.txt new file mode 100644 index 0000000000..04e93c8d6b --- /dev/null +++ b/src/data/compiled_bios/4470.txt @@ -0,0 +1 @@ + Kenneth Loparo Nord Professor and Chair Department of Electrical Engineering and Computer Science Electrical Engineering & Computer Science Contact Information: Office Location: 705 Olin Phone Number: 216.368.4115 Email: kal4@case.edu Education: BSME, Cleveland State University, Fenn College of Engineering MS, Mechanical Engineering, Cleveland State University, Fenn College of Engineering PhD, Systems and Control Engineering, Case Western Reserve University Research and Publications Research Interests: Kenneth A. Loparo was an assistant professor in the Mechanical Engineering Department at Cleveland State University from 1977 to 1979 and he has been on the faculty of the Case School of Engineering at Case Western Reserve University since 1979. He is Nord Professor of Engineering in the Department of Electrical Engineering and Computer Science and holds academic appointments in the departments of biomedical engineering and mechanical and aerospace engineering in the Case School of Engineering. He has received numerous awards including the Sigma Xi Research Award for contributions to stochastic control, the John S. Diekoff Award for Distinguished Graduate Teaching, the Tau Beta Pi Outstanding Engineering and Science Professor Award, the Undergraduate Teaching Excellence Award, the Carl F. Wittke Award for Distinguished Undergraduate Teaching and the Srinivasa P. Gutti Memorial Engineering Teaching Award. He was associate dean of engineering from 1994 -1997 and chair of the Department of Systems Engineering from 1990 -1994. He has been an active in the Faculty Senate and has served as the chair of the Personnel Committee and as a member of the Executive Committee, the Personnel Committee and the Compensation Committee. He served as vice chair of the Faculty Senate in 1998-1999 and chair of the Faculty Senate in 1999-2000. He served as the president of the Case Alumni Association from 2009-2011. Loparo is a fellow of the IEEE and has held numerous positions in the IEEE Control System Society including chair of the Program Committee for the 2002 IEEE Conference on Decision and Control, vice chair of the Program Committee for the 2000 IEEE Conference on Decision and Control, chair of the Control System Society Conference (CSS) Audit and Finance Committees, member of the CSS Board of Governors, member of the CSS Conference Editorial Board and Technical Activities Board, associate editor for the IEEE Transactions on Automatic Control and associate editor for the IEEE Control Systems Society Magazine. Loparo's research interests include stability and control of nonlinear and stochastic systems with applications to large-scale electricity systems including generation and transmission and distribution; nonlinear filtering with applications to monitoring, fault detection, diagnosis, prognosis and reconfigurable control; information theory aspects of stochastic and quantized systems with applications to adaptive and dual control and the design of distributed autonomous control systems; the development of advanced signal processing and data analytics for monitoring and tracking of physiological behavior in health and disease. Recent Research Proposals and Awards (selected) Great Lakes Offshore Wind: Utility and Regional Integration Study-DE-EE0005367 Team: CWRU, FirstEnergy, PJM, GE, NREL Address technical questions and planning needs related to the integration of large-scale offshore wind into utility service areas including: transmission system upgrades needed to facilitate offshore wind projects operational impacts of offshore wind energy integration into FirstEnergy/PJM system general guidelines and recommendations for other offshore wind projects An Information-Theoretic Framework and Self-organizing Agent-based Sensor Network Architecture for Power Plant Condition Monitoring-DE-FE0007270 Team: CWRU, Draper Labs System elements are considered as nodes in a communication network; Elements send messages via physical media to other system elements, Elements process messages from other elements and alter their states accordingly. Instrumentation provides a means for accessing messages; Messages may be corrupted, Not all messages can be observed directly. Understanding observations requires understanding both the processing and the network topology Recent Publications: Selected Publications Stochastic Stability of Coupled Linear Systems: A Survey of Methods and Results, Stochastic Analysis, Theory and Applications, pp. 193-228, 1984. Optimal Control of Jump-Linear Gaussian Systems, International Journal of Control, Vol. 42, No. 4, 1985,pp. 791-819 (B.F. Griffiths and K.A. Loparo). A Probabilistic Mechanism for Dynamic Instabilities in Electric Power Systems, IEEE Transactions on Circuits and Systems, Vol. 32, No. 2, February 1985, pp. 177-184 (K.A. Loparo and G.L. Blankenship). Analysis of Switched Linear System in the Plane, Part I: Local Behavior of Trajectories and Local Cycle Geometry, Journal of Optimization Theory and Applications, Vol. 52, No. 3, March 1987, pp. 365-394 (K.A. Loparo, J.T. Aslanis and O. Hajek). Analysis of Switched Linear Systems in the Plane, Part II: Global Behavior of Trajectories, Controllability and Attainability, Journal of Optimization Theory and Applications, Vol. 52, No. 3, March 1987, pp. 395-427 (K.A. Loparo, J.T. Aslanis and O. Hajek). A Probabilistic Approach to Dynamic Power System Security', IEEE Trans on Circuits and Systems, Vol. 37, No. 6, June 1990, pp. 787-799 (K.A. Loparo and F..Abdel-Malek). Almost Sure Instability of the Random Harmonic Oscillator, SIAM Applied Math, Vol.50, No. 3, June 1990, pp. 744-759 (X. Feng and K.A. Loparo). Leak Detection in an Experimental Heat Exchanger System: A Multiple Model Approach, IEEE Trans. on Automatic Control, Vol. 36, No. 2, February 1991, pp. 167-177 (K.A. Loparo, M. Buchner and K. Vasudeva). A Nonrandom Spectrum for Lyapunov Exponents of Linear Stochastic Systems, Stochastic Analysis and Applications, Volume IX, No. 1, March 1991, pp. 25-40 (X. Feng and K.A. Loparo). Stochastic Stability Properties of Jump Linear Systems, IEEE Trans. on Automatic Control, Vol. 37, No. 1, January 1992, pp. 38-54 (X. Feng, K.A. Loparo, Y. Ji, and H. Chizeck). A Nonrandom Spectrum Theory for Products of Random Matrices and Linear Stochastic Systems, Journal of Mathematical Systems, Estimation and Control, Vol. 2, No. 3, 1992 pp. 323-338 (X. Feng and K.A. Loparo). Chaotic Motion and Its Probabilistic Description in a Family of Two-Dimensional Nonlinear Systems with Hysteresis, Journal of Nonlinear Science, Vol. 2, 1992, pp. 417-452 (X. Feng and K.A. Loparo). Maximal Load Demand Allocation, IEEE Transactions on Power Systems, Vol. 7, No. 2, May 1992, pp.~528-535 (R. Nadira, K.A. Loparo and T.E. DyLiacco). A Hierarchical Interactive Approach to Electric Power System Restoration, IEEE Transactions on Power Systems, Vol.7, No. 3, August 1992, pp. 1123-1131 (R. Nadira, T.E. DyLiacco and K.A. Loparo). An Energy Function Method for Determining Voltage Collapse During a Power System Transient, IEEE Transactions on Circuits and Systems I: Fundamental Theory and Applications, Vol. 41, No. 10, October 1994, pp. 635-651 (K.L. Praprost and K.A. Loparo). An Improved Bounding-Based Method for Multiarea Probabilistic Production Costing, IEEE Transactions on Power Systems}, Vol.11, No. 2, May 1996, pp. 1024-1030 (B. Hobbs, Y. Ji, C.W. Chang, K.A. Loparo, J. Jober and M. Ohman). A Stability Theory for Constrained Dynamic Systems, IEEE Transactions on Automatic Control, Vol. 41, No. 11, November 1996, pp. 1605-1617 (K.L. Praprost and K.A. Loparo). Active Probing for Information in Control Systems with Quantized StateMeasurements, A Minimum Entropy Approach, IEEE Transactions onAutomatic Control, Vol. 42, No. 2, February 1997, pp. 216-238. (X. Feng and K.A. Loparo). Optimal State Estimation with Active Probing for Stochastic Systems: An Information Theoretic Approach, IEEE Transactions on Automatic Control,Vol. 42, No. 6, June, 1997, pp. 771-785. (X. Feng, K.A. Loparo and Y.Fang). Nonlinear Adaptive Sliding Mode Observer-Controller Scheme for Induction Motors, International Journal of Adaptive Control and Signal Processing, Vol. 14, 2000 pp. 245-273. (Y. Zheng, H.A. Fattah and K.A. Loparo) Intelligent Motor Provides Enhanced Diagnostics and Control for Next Generation Manufacturing Systems, Computing and Control Engineering Journal, Vol. 11, October 2000 pp. 228-234. (F.M. Discenzo, P.J. Unsworth, K.A. Loparo and H.O. Marcy) Fault Detection and Diagnosis of Rotating Machinery, IEEE Trans. on Ind. Electronics, Vol. 47, No. 5, October 2000 pp. 1005-1015. (K.A. Loparo, M.L. Adams, W. Lin, M. Abdel-Magied, and N. Afshari) A Decision Fusion Algorithm for Tool Wear Monitoring in Drilling, International Journal of Machine Tools and Manufacture, Vol. 41, 2001 pp. 1347-1362. (H. Ertunc and K.A. Loparo). Tool Wear Condition Monitoring in Drilling Operations using Hidden Markov Models, International Journal of Machine Tools and Manufacture, Vol. 41, 2001 pp. 1363-1384. (H. Ertunc and K.A. Loparo) Automated Detection of Trace' Alternant During Sleep in Healthy Full-Term Neonates using Discrete Wavelet Transform, Clinical Neurophysiology, Vol. 112, pp. 1893-1900, 2001 (Turnbull, J.P., Loparo, K., Johnson, N.W. and Scher, M.S.). Speed Control of Electrical Machines: Unknown Load Torque Case, IEEE Transactions on Automatic Control, Vol. 46, No. 12, December 2000 pp. 1979-1983. (H.A.A. Fattah and K.A. Loparo). Stochastic Stability of Jump Linear Systems, IEEE Transactions on Automatic Control, Vol.47, No.7, 2002 pp. 1204-1208. (Y. Fang and K.A. Loparo) On the Relationship between Sample and Moment Exponents for Jump Linear Systems, IEEE Transactions on Automatic Control, Vol.47, No.9, 2002 pp. 1556-1560. (Y. Fang and K.A. Loparo). Stabilization of Continuous Time Jump Linear Systems, IEEE Transactions on Automatic Control, Vol.47, No.10, 2002 pp.1590-1603. (Y. Fang and K.A. Loparo) Inverter Statistics for Online Detection of Stator Asymmetries in Inverter-Fed Induction Motors, IEEE Trans. on Industry Applications, Vol.39, No.4, 2003, pp.1102-1109. (T.M. Wolbank, K.A. Loparo, R. Wohrnschimmel) Passivity-based torque and flux tracking for induction motors with magnetic saturation, Automatica, Vol. 39, 12, December, 2003, pp. 2123-2130. (H.A. Abdel Fattah and K.A. Loparo) Stability of Continuous Time Jump Linear Systems, Journal of Dynamics of Continuous, Discrete and Impulsive Systems, Vol. 11a, No. 2, pp. 364-390, 2004. (K.A. Loparo and Y. Fang) Bearing Fault Diagnosis Based on Wavelet Transform and Fuzzy Inference, Mechanical Systems and Signal Processing, Volume 18, Issue 5, September 2004, pp.1077-1095 (X. Lou and K.A. Loparo). Estimating Running Speed and Bearing Defect Frequencies from Vibration Data, Mechanical Systems and Signal Processing, Volume 18, Issue 3, May 2004, pp. 515-533 (H. Ocak and K.A. Loparo) An HMM Based Fault Detection and Diagnosis Scheme for Rolling Element Bearings, ASME Journal of Acoustics and Vibrations, 127, 299-306 August, 2005. (H. Ocak and K.A. Loparo) Prediction of Neonatal State and Maturational Change Using Dimensional Analysis, Journal of Clinical Neurophysiology, 2005, 22(3): 159-165 (Scher, M.S., Waisanen, H., Loparo, K., and Johnson, M.W.). Automated State Analyses: Proposed Applications to Neonatal Neurointensive Care, Journal of Clinical Neurophysiology , 2005, 22(4): 256-270 (Scher, M.S., Turnbull ,J., Loparo, K., and Johnson, M.W.). On systems and control approaches to therapeutic gain, BMC Cancer, 6:104, 2006 (Radivoyevitch, T., Loparo, K., Jackson, R.C. and Sedwick, W.D). Complex systems biology approach to understanding coordination of JAK-STAT signaling, BioSystems, June 2007 (Soebiyanto, R; Qu, CK; Bunting, K; Loparo, KA; Sreenath, N.). Probabilistic Modeling of DNA Mismatch Repair (MMR) Effects on Cell Cycle Dynamics and Iododeoxyuridine (IUdR) - DNA Incorporation: Implications for Targeting MMR - Deficient Tumors for IUdR - Mediated Radiosensitization, Cancer Research 67, 10993-11000, November 15, 2007 (Gurkan, E; Schupp, JE; Aziz, MA; Kinsella, TJ, Loparo, KA). Nonlinear dynamical analysis of the neonatal EEG time series: The relationship between neurodevelopment and complexity, Clinical Neurophysiology, April 2008, Vol. 119, Issue 4, Pages 822-836. (Janjarasjitt, Suparerk, Scher, Mark S., Loparo, Kenneth A.) Entropy-based Measures of EEG Arousals as Biomarkers for Sleep Dynamics: Applications to Hypertension, Sleep, Volume 31, Issue 7, July 2008, Pages 935-943 (Jamasebi, R., Redline, S., Patel S. R., Loparo K. A.). Nonlinear dynamical analysis of the neonatal EEG time series: The relationship between sleep state and complexity, Clinical Neurophysiology, August 2008, Volume 119, Issue 8, Pages 1697-1938. (Janjarasjitt, Suparerk., Scher, Mark S., Loparo, Kenneth A.) Bearing condition diagnosis and prognosis using applied nonlinear dynamical analysis of machine vibration signal, Journal of Sound and Vibration, October 2008, Volume 317, Issues 1-2, Pages 112-126. (Janjarasjitt, Suparerk, Ocak, Hasan, Loparo, Kenneth A.) An approach for characterizing coupling in dynamical systems, Physica D: Nonlinear Phenomena, Volume 237, Issue 19, 1 October 2008, Pages 2482-2486 (Janjarasjitt, S., Loparo, K.A). The effect of time delay on Approximate and Sample Entropy, Physica D: Nonlinear Phenomena , Vol. 237, 23, December 2008, Pages 3069-3074 (Kaffashi, F, Foglyano, R, Wilson, C. G., and Loparo, K. A.). Post-sigh Breathing Behavior and Spontaneous Pauses in the C57BL/6J (B6) Mouse, Respiratory Physiology and Neurobiology, Volume 162, Issue 2, 31 July 2008, Pages 117-125 (Motoo Yamauchi, Ocak Hasan, Jesse Dostal, Frank J. Jacono, Kenneth A. Loparo and Kingman P. Strohl). Feature identification in circadian rhythms of mice strains using in vivo information, Mammalian Genome, Vol. 19, No. 5. ,May 2008, pp. 366-377 (Evren Grkan, Keith R. Olszens, Joseph H. Nadeau, and Kenneth A. Loparo). A Self-Administered Screening Instrument for Psychogenic Nonepileptic Seizures, Neurology , Vol. 72, Issue 19, pp, 1646-1652 (Syed, T, Arozullah, A, Loparo, K, Jamasebi, R, Suciu, G, Griffin, C, Mani, R, Syed, I, Loddenkemper, T, Alexopoulos, A). Neonatal EEG/Sleep State Analyses: A Complex Phenotype of Developmental Neural Plasticity, Developmental Neuroscience, Vol.31,No.4, pp. 259-275 (Scher, MS and Loparo, KA). Neurophysiologic Assessment of Brain Maturation After an 8-Week Trial of Skin-to-Skin Contact on Preterm Infants, Clinical Neurophysiology, Volume 120, Issue 10, Pages 1812-1818, October 2009 (Scher, MS, Ludington, S, Kaffashi, F, Johnson, M, Holditch-Davis, D, Loparo, KA). Alexandra Piryatinska, Gyorgy Terdik, Wojbor A. Woyczynski, Kenneth A. Loparo, Mark S. Scher, Anatoly Zlotnik, Automated detection of neonate EEG sleep stages, Computer Methods and Programs in Biomedicine Volume 95, Issue 1, Pages 31-46 (July 2009). F. Jacono, M. DeGeorgia, T. Dick, C. Wislon, K. Loparo (2011) Data Acquisition and Complex Systems Analysis in Critical Care: Developing the Intensive Care Unit of the Future, Journal of Healthcare Engineering, Vol. 1, No. 3, 2010 Dhingra RR, Jacono FJ, Fishman M, Loparo KA, Rybak IA, and Dick TE (2011) Vagal-Dependent Nonlinear Variability in the Respiratory Pattern of Anesthetized, Spontaneously Breathing Rats, Journal of Applied Physiology, 111:272-284; 2011. Drive latencies in hypoglossal motoneurons indicate developmental change in the brainstem respiratory network, Journal of Neural Engineering, Dec; 8(6), 2011 (C. Fietkiewicz, KA. Loparo, CG. Wilson). Integration of principles of systems biology and radiation biology: toward development of in silico models to optimize IUdR-mediated radiosensitization of DNA mismatch repair deficient (damage tolerant) human cancers, Frontiers in Radiation Oncology, August 2011 (T. Kinsella, E. Gurkan-Cavusoglu, W. Du, K.A. Loparo). Cardio-Ventilatory Coupling in Young Healthy Resting Subjects, Journal of Applied Physiology, Feb. 2012 (Lee Friedman, Thomas E. Dick, Frank Jacono, Kenneth A. Loparo, Amir Yaganeh, Mikkel Fishman, Christopher G. Wilson, and Kingman P. Strohl ). Entropy-Based Measures for Quantifying Sleep-Stage Transition Dynamics: Relationship to Sleep Fragmentation and Daytime Sleepiness, IEEE Trans. on Biomedical Engineering, Vol. 59, Issue 3, pp. 787-796, March 2012 (Kirsch, M. R.; Monahan, K.;Weng, J.;Redline, S.;Loparo, K. A). Optimal channel selection for analysis of EEG-sleep patterns of neonates, Computer Methods and Programs in Biomedicine ,vol. 106, issue 1 April 2012. p. 14-26 (Piryatinska, A.; Woyczynski, W.A.; Scher, M.S.; Loparo, K.A.) A Method for Analyzing Temporal Patterns of Variability of a Time Series from Poincar Plots, Journal of Applied Physiology, May 2012 (M. Fishman, FJ. Jacono, S. Park, R. Jamasebi, A. Thungtong, KA. Loparo, and TE. Dick). An Information-theoretic Architecture for Advanced Condition Monitoring and Control of Power Generating Plants, 2012 Future of Instrumentation International Workshop (FIIW 2012), Gatlinburg, TN, Oct. 2012. (R.M. Kolacinski, W. Theeranaew, K.A. Loparo) A Mathematic Framework for Analysis of Complex Cyber-Physical Power Systems, IEEE PES General Meeting, July 22-26, 2012, San Diego, CA (R. Kolacinski, K.A. Loparo). Breathing irregularity during wakefulness associates with CPAP acceptance in sleep apnea, Sleep Breath, 2012, Oct 19. [Epub ahead of print], PMID: 23080481 ( Yamauchi M , Jacono FJ , Fujita Y , Yoshikawa M , Ohnishi Y , Nakano H , Campanaro CK , Loparo KA , Strohl KP , Kimura H .) The relationship between patterns of intermittent hypoxia and retinopathy of prematurity in preterm infants, Pediatric Research, Volume 72, Issue 6, December 2012, Pages 606-612 (Di Fiore, J.M, Kaffashi, F.,Loparo, K.,Sattar, A.,Schluchter, M.,Foglyano, R.,Martin, R.J.,Wilson, C.G.). An analysis of the kangaroo care intervention using neonatal EEG complexity: a preliminary study, Clin Neurophysiol . 2013 Feb; 124(2): 238-46 ( Kaffashi F , Scher MS , Ludington-Hoe SM , Loparo KA ). Correlation of motor skill changes with variability in cadence during forced and voluntary cycling in individuals with Parkinsons disease, IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2013 May:21(3):481-9 (Ridgel, A.L., Abdar, H.M ., Alberts, J.L., Discenzo, F.M., Loparo, K.A.). The use of heart rate variability for the early detection of treatable complications after aneurysmal subarachnoid hemorrhage, Journal of Clinical Monitoring and Computing, April 2013 (Soojin Park, Farhad Kaffashi, Kenneth A. Loparo, Frank J. Jacono) Isoflurane and ketamine anesthesia have different effects on on ventilatory pattern variability in rats, Respiratory Physiology Neurobiology, Volume 185, Issue 3, 1 February 2013, Pages 659-664. (Augustine Chunga, Mikkel Fishman, Elliott C. Dasenbrook, Kenneth A. Loparo, Thomas E. Dick, Frank J. Jacono) Abrasion Modeling of Multiple-Defect Dynamics for Machine Condition Monitoring, IEEE Transactions on Reliability, Vol 62, No. 1, March 2013, pp. 171-182. (M.F. Yaqub, I. Gondal, J. Kamruzzamam, K.A. Loparo) Developing an in silico model of the modulation of base excision repair using methoxyaminefor more targeted cancer therapeutics, IET Systems Biology, Volume 7, Issue 2, April 2013, p. 27 37, DOI: 10.1049/iet-syb.2011.0045 (Evren Gurkan-Cavusoglu; Sriya Avadhani; Lili Liu; Timothy J. Kinsella; Kenneth A. Loparo) Quantitative analysis of the effects of iododeoxyuridine and ionising radiation treatment on the cell cycle dynamics of DNA mismatch repair deficient human colorectal cancer cells, IET Systems Biology, Volume 7, Issue 4, August 2013, p. 114 124, DOI: 10.1049/iet-syb.2012.0050 (Evren Gurkan-Cavusoglu; Jane E. Schupp; Timothy J. Kinsella; Kenneth A. Loparo). : diff --git a/src/data/compiled_bios/4471.txt b/src/data/compiled_bios/4471.txt new file mode 100644 index 0000000000..b61b614cc8 --- /dev/null +++ b/src/data/compiled_bios/4471.txt @@ -0,0 +1 @@ + Behnam Malakooti BEHNAM MALAKOOTI, PH.D, PE, is Professor of Systems Engineering in the Electrical Engineering and Computer Science Department of Case Western Reserve University. His current research is in the areas of risk, complex decision making, optimization, and production/manufacturing. He designed intelligent protocols for NASAs space-based networks. He has published over 100 technical journal articles and has consulted with numerous industries and corporations, including General Electric, Parker Hannifin, and B. F. Goodrich. He is a Fellow of the IEEE, IIE, and SME, and in 1997, he was named Engineer of the Year and also Technical Educator of the Year. Professor Behnam Malakooti Systems Engineering Electrical Engineering and Computer Science Department Case Western Reserve University Cleveland, Ohio https://sites.google.com/site/malakootibehnam/home Google Scholar Operations and Production Systems with Multiple Objectives Honors and Awards; Research and Professional Engineer of the Year, Cleveland National Engineering Week Committee, 1997 . Fellow, Institute of Electrical and Electronics Engineers (IEEE), since, 1998 . Fellow, Institute of Industrial & Systems Engineers (IISE); one of twelve recipients, 1997 . Fellow, Society of Manufacturing Engineers (SME), one of ten international recipients, 1996 Divisional Professional Leadership Award, one of three national recipients, IEEE, 2000-2001 . Outstanding Research Leader, Case School of Engineering, Case Western Reserve University , 2004-2005 . Exceptional Research Achievement, Department of Electrical Engineering & Computer Science , Case Western Reserve University , 2004 . Honors and Awards; Teaching & Educational Technical Educator of the Year, Cleveland Tech. Societies, representing 50 societies, 1997. Outstanding Educator of the Year, SME, 1995 Undergraduate Teaching Excellence Award in Engineering, CWRU, 1992-1993 Advisor, IIE Rockwell Simulation team winning the runner up US position, IIE 2004 Advisor, IIE Rockwell Simulation team winning the runner up US position, IIE 1997 . Honors and Awards; Book Operations and Production Systems with Multi-objectives , John Wiley, 2013. Rated 5 star by Amazon Professor, Electrical Engineering & Computer Science Contact Information: Office Location: Olin 611 Phone Number: 216.368.4462 Email: bxm4@case.edu Education: BSE. , Hamadan University, 1976 M.S. , MSIE Purdue University, West Lafayette, Industrial Engineering, 1979 Ph.D. , Purdue University, West Lafayette, Industrial Engineering, 1982 Research and Publications Research Interests: Risk analysis and modeling, multi-objective optimization, design/manufacturing/production/operations systems, intelligent systems and networks, artificial neural networks, biological systems, intelligent decision making and typology Recent Publications: Book Description of Operations and Production Systems with Multiple Objectives The first comprehensive book to uniquely combine the three fields of systems engineering, operations/production systems, and multiple criteria decision making/optimization Systems engineering is the art and science of designing, engineering, and building complex systemscombining art, science, management, and engineering disciplines. Operations and Production Systems with Multiple Objectives covers all classical topics of operations and production systems as well as new topics not seen in any similiar textbooks before: small-scale design of cellular systems, large-scale design of complex systems, clustering, productivity and efficiency measurements, and energy systems. Filled with completely new perspectives, paradigms, and robust methods of solving classic and modern problems, the book includes numerous examples and sample spreadsheets for solving each problem, a solutions manual, and a book companion site complete with worked examples and supplemental articles. Operations and Production Systems with Multiple Objectives will teach readers: How operations and production systems are designed and planned How operations and production systems are engineered and optimized How to formulate and solve manufacturing systems problems How to model and solve interdisciplinary and systems engineering problems How to solve decision problems with multiple and conflicting objectives This book is ideal for senior undergraduate, MS, and PhD graduate students in all fields of engineering, business, and management as well as practitioners and researchers in systems engineering, operations, production, and manufacturing. Operations and Production Systems with Multiple Objectives: All Book Chapters, Behnam Malakooti Operations and Production Systems with Multiple Objectives, Behnam Malakooti, John Wiley, 2013. Downloading All Chapters Cover page of Operations and Production Systems with Multiple Objectives, Behnam Malakooti, John Wiley Detailed Table of Contents and Front-Material of Operations and Production Systems with Multiple Objectives, Behnam Malakooti, John Wiley OPERATIONS SYSTEMS AND DECISION MAKING Chapter 1. Introduction of Operations and Production Systems with Multiple Objectives, Behnam Malakooti, John Wiley Chapter 2. Multiple-criteria decision-making of Operations and Production Systems with Multiple Objectives, Behnam Malakooti, John Wiley PRODUCTION AND OPERATIONS PLANNING Chapter 3. Forecasting of Operations and Production Systems with Multiple Objectives, Behnam Malakooti, John Wiley Chapter 4. Aggregate planning of Operations and Production Systems with Multiple Objectives, Behnam Malakooti, John Wiley Chapter 5. Push-and-pull (MRP-JIT) systems of Operations and Production Systems with Multiple Objectives, Behnam Malakooti, John Wiley Chapter 6. Inventory planning and control of Operations and Production Systems with Multiple Objectives, Behnam Malakooti, John Wiley SCHEDULING AND PROJECT MANAGEMENT Chapter 7. Scheduling and sequencing of Operations and Production Systems with Multiple Objectives, Behnam Malakooti, John Wiley Chapter 8. Project management of Operations and Production Systems with Multiple Objectives, Behnam Malakooti, John Wiley SUPPLY CHAIN AND ENERGY SYSTEMS Chapter 9. Supply chain and transportation of Operations and Production Systems with Multiple Objectives, Behnam Malakooti, John Wiley Chapter 10. Productivity and efficiency of Operations and Production Systems with Multiple Objectives, Behnam Malakooti, John Wiley Chapter 11. Energy system design and operation of Operations and Production Systems with Multiple Objectives, Behnam Malakooti, John Wiley CELLULAR SYSTEMS AND CLUSTERING Chapter 12. Clustering and group technology of Operations and Production Systems with Multiple Objectives, Behnam Malakooti, John Wiley Chapter 13. Cellular layouts and networks of Operations and Production Systems with Multiple Objectives, Behnam Malakooti, John Wiley Chapter 14. Assembly systems of Operations and Production Systems with Multiple Objectives, Behnam Malakooti, John Wiley FACILITY LAYOUT AND LOCATION Chapter 15. Facility layout of Operations and Production Systems with Multiple Objectives, Behnam Malakooti, John Wiley Chapter 16. Location decisions of Operations and Production Systems with Multiple Objectives, Behnam Malakooti, John Wiley QUALITY, RELIABILITY, AND MEASUREMENT Chapter 17. Quality control and assurance of Operations and Production Systems with Multiple Objectives, Behnam Malakooti, John Wiley Chapter 18. Work measurement of Operations and Production Systems with Multiple Objectives, Behnam Malakooti, John Wiley Chapter 19. Reliability and maintenance of Operations and Production Systems with Multiple Objectives, Behnam Malakooti, John Wiley Back Material of Operations and Production Systems with Multiple Objectives, Behnam Malakooti, John Wiley Published Papers Sheikh, S., Komaki, M., & Malakooti, B. (2015). Integrated risk and multi-objective optimization of energy systems . Computers & Industrial Engineering , 90 , 1-11. Sheikh, S., Komaki, M., & Malakooti, B. (2014). Multiple objective energy operation problem using Z utility theory . The International Journal of Advanced Manufacturing Technology , 74 (9-12), 1303-1321. Komaki, Mohammad, Shaya Sheikh, and Behnam Malakooti. " Rule Based Layout Planning and Its Multiple Objectives ." Proc. Adv. Agile Manuf. Sys.(ICAM-2014) MI, USA (2014). Malakooti, Behnam. Operations and Production Systems with Multiple Objectives . John Wiley & Sons, 2013. Malakooti, Behnam, et al. " Multi-objective energy aware multiprocessor scheduling using bat intelligence ." Journal of Intelligent Manufacturing 24.4 (2013): 805-819. Malakooti, Behnam. " double helix value functions, ordinal/cardinal approach, additive utility functions, multiple criteria, decision paradigm, process, and types (Z theoryI) ." International Journal of Information Technology & Decision Making (2013): 1-48. Malakooti, Behnam, Hyun Kim, and Shaya Sheikh. " Bat intelligence search with application to multi-objective multiprocessor scheduling optimization ." The International Journal of Advanced Manufacturing Technology 60.9-12 (2012): 1071-1086. Malakooti, Behnam. " Decision making process: typology, intelligence, and optimization ." Journal of intelligent manufacturing 23.3 (2012): 733-746. Guo, Zhihao, et al. " Energy aware proactive optimized link state routing in mobile ad-hoc networks ." Applied Mathematical Modelling 35.10 (2011): 4715-4729. Malakooti, Behnam. " Systematic decision process for intelligent decision making ." Journal of Intelligent Manufacturing 22.4 (2011): 627-642. Sheikh, Shaya, and Behnam Malakooti. " Integrated energy systems with multi-objective ." Energytech, 2011 IEEE . IEEE, 2011. Barritt, Brian J., et al. " Mobile ad hoc network broadcasting: A multicriteria approach ." International Journal of Communication Systems 24.4 (2011): 438-460. Guo, Zhihao, et al. " Multi-objective OLSR for proactive routing in MANET with delay, energy, and link lifetime predictions ." Applied Mathematical Modelling 35.3 (2011): 1413-1426. Al-Najjar, Camelia, and Behnam Malakooti. " Hybrid-LP: Finding advanced starting points for simplex, and pivoting LP methods ." Computers & Operations Research 38.2 (2011): 427-434. Guo, Zhihao, et al. " Mobile ad hoc network proactive routing with delay prediction using neural network ." Wireless Networks 16.6 (2010): 1601-1620. Malakooti, Behnam, and Camelia Al-Najjar. " The Complex Interior-Boundary method for linear and nonlinear programming with linear constraints ." Applied Mathematics and Computation 216.7 (2010): 1903-1917. Malakooti, Behnam. " Independent, convergent, and divergent decision behaviour for interactive multiple objectives linear programming. " Engineering Optimization 42.4 (2010): 325-346. Gajurel, Sanjaya, and Behnam Malakooti. " Re-configurable antenna & transmission power for location aware manet routing with multiple objective optimization ." Journal of Networks 3.3 (2008): 11-18. Guo, Zhihao, and Behnam Malakooti. " Predictive delay metric for OLSR using neural networks ." Proceedings of the 3rd international conference on Wireless Internet . ICST (Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering), 2007. Guo, Zhihao, and Behnam Malakooti. " Predictive multiple metrics in proactive mobile ad hoc network routing ." Local Computer Networks, 2007. LCN 2007. 32nd IEEE Conference on . IEEE, 2007. Guo, Zhihao, and Behnam Malakooti. " Energy aware proactive MANET routing with prediction on energy consumption ." Wireless Algorithms, Systems and Applications, 2007. WASA 2007. International Conference on . IEEE, 2007. Malakooti, B., and N. R. Malakooti. " Some insights into Malakooti et al.Integrated group technology, cell formation and process planningapproach ." International journal of production research 45.8 (2007): 1933-1936. Gajurel, S., B. Malakooti, and Limin Wang. " DA-MLAR-ODTP: Directional Antenna Multipath Location Aided Routing with On Demand Transmission Power ." Wireless Pervasive Computing, 2007. ISWPC'07. 2nd International Symposium on . IEEE, 2007. Barritt, Brian J., Behnam Malakooti, and Zhihao Guo. " Intelligent multiple-criteria broadcasting in mobile ad-hoc networks ." Local Computer Networks, Proceedings 2006 31st IEEE Conference on . IEEE, 2006. Malakooti, Behnam, Hyun Kim, and Kul Bhasin. " Human & robotics technology space exploration communication scenarios: Characteristics, challenges & scenarios for developing intelligent internet protocols ." Space Mission Challenges for Information Technology, 2006. SMC-IT 2006. Second IEEE International Conference on . IEEE, 2006. Gajurel, Sanjaya, et al. "D irectional Antenna Multi-path Location Aided Routing (DA-MLAR) ." Wireless Telecommunications Symposium, 2006. WTS'06 . IEEE, 2006. Malakooti, Behnam, and Ivan Thomas. " A distributed composite multiple criteria routing using distance vector ." Networking, Sensing and Control, 2006. ICNSC'06. Proceedings of the 2006 IEEE International Conference on . IEEE, 2006. Guo, Zhihao, et al. " Design of accurate and efficient network emulation systems with application to inter-planetary networks ." Networking, Sensing and Control, 2006. ICNSC'06. Proceedings of the 2006 IEEE International Conference on . IEEE, 2006. Guo, Zhihao, and Behnam Malakooti. " Delay prediction for intelligent routing in wireless networks using neural networks ." Networking, Sensing and Control, 2006. ICNSC'06. Proceedings of the 2006 IEEE International Conference on . IEEE, 2006. Malakooti, B., and K. Bhasin. " Framework for developing reconfigurable intelligent Internet protocols for space communication networks ." Networking, Sensing and Control, 2005. Proceedings. 2005 IEEE . IEEE, 2005. Malakooti, Behnam, and K. Bhasin. "Roadmap for developing reconfigurable intelligent internet protocol for space communication networks." 2005 IEEE International Conference On Networking, Sensing and Control; Tucson, AZ; March 2005 . 2004. Endres, Shaun, et al. " Space based internet network emulation for deep space mission applications ." International Communications Satellite Systems Conference & Exhibit2004 . 2004. Malakooti, Behnam, Nima R. Malakooti, and Ziyong Yang. " Integrated group technology, cell formation, process planning, and production planning with application to the emergency room ." International journal of production research 42.9 (2004): 1769-1786. Malakooti, Behnam. " Unidirectional loop network layout by a LP heuristic and design of telecommunications networks ." Journal of Intelligent Manufacturing 15.1 (2004): 117-125. Malakooti, Behnam, and Ziyong Yang. " Clustering and group selection of multiple criteria alternatives with application to space-based networks ." Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on 34.1 (2004): 40-51. Malakooti, Behnam, et al. " Multi-Criteria Space Based Internet Routing ." Industrial Engineering Research Conference (IERC) . 2004. Malakooti, Behnam, et al. " A framework for an intelligent internet protocol for a space-based internet ." 22nd AIAA ICSSC . 2004. Malakooti, Behnam, and Jumah E. Al-alwani. " Extremist vs. centrist decision behavior: quasi-convex utility functions for interactive multi-objective linear programming problems ." Computers & Operations Research 29.14 (2002): 2003-2021. Malakooti, B., et al. " Multi-criteria clustering for intelligent tele-communications systems ." Systems, Man and Cybernetics, 2002 IEEE International Conference on . Vol. 1. IEEE, 2002. Malakooti, Behnam, and Ziyong Yang. " Multiple criteria approach and generation of efficient alternatives for machine-part family formation in group technology ." IIE Transactions 34.9 (2002): 837-846. Malakooti, Behnam, et al. "Clustering Intelligent Mobile Agents for Communication networks." INFORMS, & IERC conference, 2002. Malakooti, Behnam, and Vishnu Raman. " Clustering and selection of multiple criteria alternatives using unsupervised and supervised neural networks ." Journal of Intelligent Manufacturing 11.5 (2000): 435-451. Malakooti, Behnam, and Vishnu Raman. " An interactive multi-objective artificial neural network approach for machine setup optimization ." Journal of Intelligent Manufacturing 11.1 (2000): 41-50. Malakooti, Behnam, and Sriram Subramanian. " Generalized polynomial decomposable multiple attribute utility functions for ranking and rating multiple criteria discrete alternatives ." Applied Mathematics and Computation 106.1 (1999): 69-102. Malakooti, Behnam, and YingQing Zhou. " Approximating polynomial functions by feedforward artificial neural networks: capacity analysis and design ." Applied Mathematics and Computation 90.1 (1998): 27-51. Malakooti, Behnam B., and Ziyong Yang. " Clustering of multiple criteria alternatives for group selection with an application to machine-part cell formation ." Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on . Vol. 4. IEEE, 1997. Malakooti, Behnam B., et al. " Group Technology: Generation and Selection of the Best Multi-Criteria Alternative ." Computer Applications in Production and Engineering . Springer US, 1997. 352-358. Malakooti, B., and A. Kumar. " A knowledge-based system for solving multi-objective assembly line balancing problems ." International Journal of Production Research 34.9 (1996): 2533-2552. Malakooti, B., and Z. Yang. " A variable-parameter unsupervised learning clustering neural network approach with application to machine-part group formation ." International Journal of Production Research 33.9 (1995): 2395-2413. Malakooti, Behnam B., Ying Q. Zhou, and Evan C. Tandler. " In-process regressions and adaptive multicriteria neural networks for monitoring and supervising machining operations ." Journal of Intelligent Manufacturing 6.1 (1995): 53-66. Malakooti, B., and Y. Zhou. " An adaptive feedforward artificial neural network with application to multiple criteria decision making Malakooti, B., and Y. Zhou. "An adaptive feedforward artificial neural network with application to multiple criteria decision making." Management Science 40.11 (1994): 1542-1561. Malakooti, Behnam, and Ying Q. Zhou. " Feedforward artificial neural networks for solving discrete multiple criteria decision making problems. " Management Science 40.11 (1994): 1542-1561. Malakooti, B. B. " Assembly line balancing with buffers by multiple criteria optimization ." THE INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH 32.9 (1994): 2159-2178. Malakooti, B., Lucien Duckstein, and A. Ravindran. " Screening discrete alternatives with imprecisely assessed additive multi-attribute functions ." Applied mathematics and computation 60.1 (1994): 69-87. Malakooti, Behnam, and Ziyong Yang. " An unsupervised neural network approach for machine-part cell design ." Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on . Vol. 2. IEEE, 1994. Malakooti, B. "Analysis and synthesis of artificial neural networks for modeling complex systems." Progress in neural networks 2 (1994): 163. Wang, Jun, and B. Malakooti. " Characterization of training errors in supervised learning using gradient-based rules ." Neural networks 6.8 (1993): 1073-1087. Malakooti, Behnam B. " A decision support system for discrete multiple-criteria problems: certainty, uncertainty, and hierarchical ." Applied mathematics and computation 54.2 (1993): 131-166. Al-alwani, Jumah E., Benjamin F. Hobbs, and Behnam B. Malakooti. " An interactive integrated multiobjective optimization approach for quasiconcave/quasiconvex utility functions ." Applied mathematics and computation 54.2 (1993): 241-257. Malakooti, Behnam, and YingQing Zhou. " An artificial neural networks for approximating polynomial functions ." Neural Networks, 1992. IJCNN., International Joint Conference on . Vol. 3. IEEE, 1992. Malakooti, Behnam, and Y. Q. Zhou. " An applications of adaptive neural networks for an in-process monitoring and supervising system ." Neural Networks, 1992. IJCNN., International Joint Conference on . Vol. 2. IEEE, 1992. Wang, Jun, and Behnam Malakooti. " A feedforward neural network for multiple criteria decision making ." Computers & Operations Research 19.2 (1992): 151-167. Malakooti, B. " A multiple criteria decision making approach for the assembly line balancing problem ." THE INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH 29.10 (1991): 1979-2001. Malakooti, Behnam B. " A generalized decomposable multiattribute utility function ." Applied mathematics and computation 44.3 (1991): 271-285. Malakooti, Behnam. " Measurable value functions for ranking and selection of groups of alternatives ." Journal of Mathematical Psychology 35.1 (1991): 92-99. Malakooti, B. " An interactive on-line multi-objective optimization approach with application to metal cutting turning operation ." THE INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH 29.3 (1991): 575-598. MALAKOOTI, BEHNAM, JUN WANG, and EVAN C. TANDLER. " A sensor-based accelerated approach for multi-attribute machinability and tool life evaluation ." The International Journal of Production Research 28.12 (1990): 2373-2392. Zhou, Y., and B. Malakooti. " An adaptive feedforward artificial neural network with the applications to multiple criteria decision making ." Systems, Man and Cybernetics, 1990. Conference Proceedings., IEEE International Conference on . IEEE, 1990. Malakooti, B. " A hierarchical, multi-objective approach to the analysis, design, and selection of computer-integrated manufacturing systems ." Robotics and Computer-Integrated Manufacturing 6.1 (1989): 83-97. Malakooti, B. " A gradient-based approach for solving hierarchical multi-criteria production planning problems ." Computers & Industrial Engineering 16.3 (1989): 407-417. Malakooti, Behnam. " Ranking multiple criteria alternatives with half-space, convex, and non-convex dominating cones: quasi-concave and quasi-convex multiple attribute utility functions ." Computers & operations research 16.2 (1989): 117-127. Malakooti, B., and J. Deviprasad. " An interactive multiple criteria approach for parameter selection in metal cutting ." Operations Research 37.5 (1989): 805-818. Malakooti, B. " Multiple objective facility layout: a heuristic to generate efficient alternatives ." THE INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH 27.7 (1989): 1225-1238. Wang, Jun, and B. Malakooti. " On training of artificial neural networks ." Neural Networks, 1989. IJCNN., International Joint Conference on . IEEE, 1989. Malakooti, B., and Akira Tsurushima. " An expert system using priorities for solving multiple-criteria facility layout problems ." THE INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH 27.5 (1989): 793-808. Malakooti, Behnam. " Theories and an exact interactive paired-comparison approach for discrete multiple-criteria problems ." Systems, Man and Cybernetics, IEEE Transactions on 19.2 (1989): 365-378. Malakooti, Behnam. " Identifying nondominated alternatives with partial information for multiple-objective discrete and linear programming problems ." Systems, Man and Cybernetics, IEEE Transactions on 19.1 (1989): 95-107. Malakooti, Behnam. " An exact interactive method for exploring the efficient facets of multiple objective linear programming problems with quasi-concave utility functions ." Systems, Man and Cybernetics, IEEE Transactions on 18.5 (1988): 787-801. Malakooti, Behnam. " A decision support system and a heuristic interactive approach for solving discrete multiple criteria problems ." Systems, Man and Cybernetics, IEEE Transactions on 18.2 (1988): 273-284. Malakooti, B., and Jambunathan Deviprasad. " A decision support system for computer-aided process planning ." Computers in industry 9.2 (1987): 127-132. Malakooti, B., and William H. Balhorn. " Selection of acceptance sampling plans with multi-attribute defects in computer-aided quality control ." International Journal of Production Research 25.6 (1987): 869-887. Malakooti, B. "E rratum to An MCDM Model to Solve the Glass Industry Energy Problem , IIE transactions , 18 (4), 374-379. . Malakooti, B., and G. I. D'souza. " Multiple objective programming for the quadratic assignment problem ." International Journal of Production Research 25.2 (1987): 285-300. Malakooti, B. " A multi-objective personal computer model for energy conservation planning ." Journal of microcomputer applications 10.1 (1987): 41-54. Malakooti, B. "Computer-aided facility layout selection (CAFLAS) with applications to multiple criteria manufacturing planning problems." Large scale systems 12.2 (1987): 109-123. Malakooti, B. " An MCDM model to solve the glass industry energy problem ." IIE transactions 18.4 (1986): 374-379. Malakooti, B. " A methodology for the automation of medium or small manufacturing companies ." Computers in Industry 7.4 (1986): 333-341. Malakooti, B., and A. Ravindran. " Experiments with an interactive paired comparison simplex method for MOLP problems ." Annals of Operations Research 5.1-4 (1986): 575-597. Malakooti, B. " A nonlinear multi-attribute utility theory. " Decision Making with Multiple Objectives . Springer Berlin Heidelberg, 1985. 190-200. Malakooti, B. " Assessment through strength of preference ." Large scale systems 8.2 (1985): 169-182. : diff --git a/src/data/compiled_bios/4472.txt b/src/data/compiled_bios/4472.txt new file mode 100644 index 0000000000..e00b0b10a9 --- /dev/null +++ b/src/data/compiled_bios/4472.txt @@ -0,0 +1 @@ + Soumyajit Mandal Assistant Professor, Electrical Engineering & Computer Science Contact Information: Office Location: Glennan 514A Phone Number: (216) 368 1349 Email: sxm833@case.edu Website: https://sites.google.com/site/casecirc/ Education: B. Tech, Indian Institute of Technology, Kharagpur, India (2002) M.S., Massachusetts Institute of Technology, Cambridge, MA (2004) Ph.D., Massachusetts Institute of Technology, Cambridge, MA (2009) Research and Publications Research Interests: Integrated circuits and systems Scientific instrumentation Nuclear magnetic resonance (NMR) Sensor physics Recent Publications: A complete list of publications is available here: https://sites.google.com/site/casecirc/publications : diff --git a/src/data/compiled_bios/4473.txt b/src/data/compiled_bios/4473.txt new file mode 100644 index 0000000000..3e5f046d16 --- /dev/null +++ b/src/data/compiled_bios/4473.txt @@ -0,0 +1 @@ + Mehran Mehregany Director, Case School of Engineering - San Diego Faculty Director of Development, Case School of Engineering Goodrich Professor of Engineering Innovation Professor, Electrical Engineering & Computer Science Contact Information: Office Location: Glennan 713 Office Hours: By Appointment Phone Number: 216.368.0755 Email: mehran@case.edu Education: B.S. , University of Missouri, Columbia, Missouri, Electrical Eng., 1984 M.S. , Massachusetts Inst. of Tech., Electrical Eng. & Computer Science, 1986 Sc.D. , Massachusetts Inst. of Tech., Electrical Eng. & Computer Science, 1990 Research and Publications Research Interests: Research and development at the intersections of micro/nano-electro-mechanical systems, semiconductor silicon carbide and integrated circuits Recent Publications: L. Chen and M. Mehregany, A Silicon Carbide Capacitive Pressure Sensor for In-Cylinder Pressure Measurement, Sensors and Actuators: A Physical, vol. 145-146, pp. 2 -8 , 2008. X.A Fu, S. Noh, L. Chen, and M. Mehregany, Very Thin LPCVD Poly-SiC Films, Journal of Nanoscience and Nanotechnology, vol. 8, pp. 30633067, 2008. B. Damrongsak, M. Kraft, S. Rajgopal, and M. Mehregany, Design and Fabrication of a Micromachined Electrostatically Suspended Gyroscope, Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, vol. 222, no. 1, pp. 5 3-63, 2008. R.K. Burla, L. Chen, C.A. Zorman, and M. Mehregany, Development of Nickel Wire Bonding for High-Temperature Packaging of SiC Devices, IEEE Transactions on Advanced Packaging, vol. 32, pp. 564-574, 2009. A.C. Patil, X. Fu, C. Anupongongarch, M. Mehregany, and S.L. Garverick, 6H-SiC JFETs for 450C Differential Sensing Applications, IEEE J. Microelectromechanical Systems, vol. 18, pp. 950-961, 2009. P. G. Neudeck, D. J. Spry, G. M. Beheim, M. J. Krasowski, S. L. Garverick, M. Mehregany, and L.-Y. Chen, Extreme Temperature 6H-SiC JFET Integrated Circuit Technology, Physica Status Solidi (A) Applications and Materials, vol. 206, pp. 2329-2345, 2009. . Bebek, M.A. Suster, S. Rajgopal, M.J. Fu, X. Huang, M.C. Cavusoglu, D.J. Young; M. Mehregany, A.J. van den Bogert, C.H. Mastrangelo, "Personal Navigation via High-Resolution Gait-Corrected Inertial Measurement Units," IEEE Transactions on Instrumentation and Measurement, vol. 59, pp. 3018-3027, 2010. X.L. Feng, M.H. Matheny, C.A. Zorman, M. Mehregany, and M.L. Roukes, Low Voltage Nanoelectromechanical Switches Based on Silicon Carbide Nanowires, Nano Letters, vol. 10, pp. 2891-2896, 2010. T.H. Lee, S. Bhunia, and M. Mehregany, Electromechanical Computing at 500C with Silicon Carbide, Science, vol. 329, pp. 1316-1318, 2010. X. A. Fu, K. Okino, M. Mehregany, Thermal oxidation of silicon carbide: A comparison of n-type and p-type doped epitaxial layers, Applied Physics Letters, vol. 98, 042109, 2011. X. A. Fu, J. Dunning, M. Mehregany, C. A. Zorman, Low Stress Polycrystalline SiC Thin Films Suitable for MEMS Applications, J. Electrochem. Society, vol. 158, pp. H675-H680, 2011. : diff --git a/src/data/compiled_bios/4474.txt b/src/data/compiled_bios/4474.txt new file mode 100644 index 0000000000..d95c80fa1e --- /dev/null +++ b/src/data/compiled_bios/4474.txt @@ -0,0 +1 @@ + Case Western Reserve University Electrical Engineering & Computer Science (EECS) About Us : Research : People : Publications : Teaching : Sponsors : Contact Us Welcome: BioMicroSystems Laboratory was founded in the Electrical Engineering and Computer Science Department of Case Western Reserve University, Cleveland, OH in August 2005 by Professor Pedram Mohseni. The research activities of the laboratory lie in the fields of biomicrosystems, implantable neuroprostheses, wireless brain-machine interfaces, microelectronics for neural engineering, and wireless integrated sensing/actuating systems. In particular, we aim to employ engineering techniques to investigate the function and manipulate the behavior of the nervous system in both electrical and chemical paradigms, with the ultimate goal of enabling the investigation of brain-behavior relationships in neurobiology and restoring human function via direct interactions between the nervous system and state-of-the-art engineered devices. December 2017 Prof. Sudip Nag joins the BioMicroSystems Laboratory from the Indian Institute of Technology (IIT) Kharagpur as a Visiting Research Scientist. Welcome, Sudip! Shahab's second journal paper is accepted for publication in the Journal of Analog Integrated Circuits and Signal Processing. Congratulations, Shahab! BioMicroSystems Laboratory participates in the 2017 American Society of Hematology (ASH) Annual Meeting and Exposition in Atlanta, GA with one poster on the assessment of ClotChip for monitoring coagulation factor therapy in hemophilic children. Asish Koruprolu joins the BioMicroSystems Laboratory from the Indian Institute of Technology (IIT) Kharagpur for a 1-month training program. Welcome, Asish! October 2017 Hossein's first journal paper is accepted for publication in the IEEE Transactions on Neural Systems and Rehabilitation Engineering. Congratulations, Hossein! August 2017 Prof. Mohseni is appointed as an Associate Editor of the newly established IEEE Solid-State Circuits Letters. Debnath's first journal paper is accepted for publication in the IEEE Transactions on Biomedical Circuits and Systems Special Issue on Microfluidics Engineering for Point-of-Care Diagnostics. Congratulations, Debnath and Mike! Reza's first journal paper is accepted for publication in the IEEE Transactions on Circuits and Systems Part II: Express Briefs. Congratulations, Reza and Fatemeh! July 2017 Shahab's first journal paper is published in the IEEE Transactions on Neural Systems and Rehabilitation Engineering. Congratulations, Shahab! Drs. Mohseni and Suster receive two new grants from the American Heart Association and the Cleveland Dept of Veterans Affairs Medical Center for clinical evaluation of the ClotChip. May 2017 BioMicroSystems Laboratory participates in the 2017 IEEE International Symposium on Circuits and Systems (ISCAS) in Baltimore, MD with two papers. Congratulations, Reza, Fatemeh, and Hossein! Prof. Mohseni delivers one of the CICCx talks entitled "Insights on Brain Sensing ICs" in Austin, TX at the invitation of the IEEE Solid-State Circuits Society. Sagar Kumashi joins the BioMicroSystems Laboratory from the Indian Institute of Technology (IIT) Kharagpur for a 2.5-month training program. Welcome, Sagar! April 2017 BioMicroSystems Laboratory participates in the 2017 IEEE International Conference on Nano/Micro Engineered and Molecular Systems (NEMS) in Los Angeles, CA with one paper. Congratulations, Debnath! Profs. Mohseni and Nudo sell the "Neuralink" trademark to Elon Musk (without realizing it!!). Read this story in MIT Technology Review! January 2017 Profs. Mohseni and Nudo are awarded a second (continuation) United States patent on January 3 on methods and associated neural prosthetic devices for bridging brain areas to improve function. December 2016 Mike's third journal paper is published in the IEEE Transactions on Circuits and Systems Part II: Express Briefs. Congratulations, Mike, Nick, and Debnath! ClotChip is licensed by Case Western Reserve University to XaTek, Inc., a Cleveland start-up company to commercialize ClotChip for comprehensive assessment of hemostasis at the point-of-care. ClotChip is prominently featured in the "Best of ASH" on December 5. ClotChip is presented on December 3 in the ASH Press Program dedicated to a worldwide coverage of recent innovations in hematology. BioMicroSystems Laboratory participates in the 2016 American Society of Hematology (ASH) Annual Meeting and Exposition in San Diego, CA with one poster on ClotChip a microfluidic dielectric sensor for comprehensive assessment of hemostasis at the point-of-care. October 2016 Prof. Mohseni delivers a tutorial on high-fidelity sensing and manipulation of brain neurochemistry at the 2016 IEEE Biomedical Circuits and Systems (BioCAS) Conference in Shanghai, China. BioMicroSystems Laboratory participates in the 2016 IEEE Biomedical Circuits and Systems (BioCAS) Conference in Shanghai, China with three papers. Congratulations, Fatemeh, Reza, Hossein, and Shahab! August 2016 Profs. Mohseni and Nudo receive a 3-year award from the US Army Medical Research and Materiel Command to continue their work on developing a closed-loop neuroprosthesis for functional recovery from traumatic brain injury. BioMicroSystems Laboratory has three papers accepted to the 2016 IEEE Biomedical Circuits and Systems (BioCAS) Conference that will be held in Shanghai, China in October 2016. Congratulations, Shahab, Hossein, Fatemeh, and Reza! BioMicroSystems Laboratory participates in the 2016 IEEE Engineering in Medicine and Biology Conference (EMBC) in Orlando, FL with one paper. Congratulations, Debnath and Mike! July 2016 Professor Mohseni is promoted to the rank of Full Professor effective July 1. Shahab successfully defends his Ph.D. dissertation research on July 6, 2016. Congratulations, Shahab! June 2016 BioMicroSystems Laboratory participates in the 2016 IEEE NEWCAS Conference in Vancouver, Canada with three papers. Congratulations, Mehran, Mike, and Hossein! Bardia's second journal paper is published in the IEEE Transactions on Biomedical Circuits and Systems. May 2016 BioMicroSystems Laboratory participates in the 2016 IEEE Symposium on Circuits and Systems (ISCAS) in Montreal, Canada with three papers. Congratulations, Bardia, Reza, Fatemeh, Mike, and Nick! Drs. Suster and Mohseni win a 1-year grant from the Case-Coulter Translational Research Partnership (CCTRP) Pilot Program for the development of a microfluidic dielectric coagulometer for point-of-care (POC) diagnostics. Drs. Suster and Mohseni win a 1-year grant from the Steven Garverick Innovation Incentive Program of the Advanced Platform Technology (APT) Center in Cleveland, OH for the development of a microfluidic dielectric coagulometer for POC diagnostics. April 2016 Shahab wins a student travel award to present his work at the 2016 Minnesota Neuromodulation Symposium. Congratulations, Shahab! BioMicroSystems Laboratory participates in the 2016 Minnesota Neuromodulation Symposium with one poster. March 2016 Professor Mohseni is selected to serve on the Imagers, MEMS, Medical & Display (IMMD) subcommittee of the IEEE International Solid-State Circuits Conference (ISSCC). Bardia's "neurochemostat" chip receives coverage in the IEEE Spectrum Human OS Blog in an article entitled " Implantable Chip Measures and Adjusts Dopamine Levels in Mouse Brain ". February 2016 Professor Mohseni is nominated for the 2016 John S. Diekhoff Award for Distinguished Graduate Student Teaching at Case Western Reserve University. December 2015 Mehran's second journal paper is published in the IEEE Transactions on Biomedical Circuits and Systems. November 2015 Mehran's second journal paper is accepted for publication in the IEEE Transactions on Biomedical Circuits and Systems. Congratulations, Mehran! BioMicroSystems Laboratory participates in the 2015 NIH-IEEE Strategic Conference on Healthcare Innovations and Point-of-Care Technologies for Precision Medicine in Bethesda, MD with one paper. Congratulations, Mike and Debnath! BioMicroSystems Laboratory participates in the 2015 IEEE Sensors Conference in Busan, South Korea with one paper. Congratulations, Mike and Debnath! August 2015 Bardia and Mehran join QualComm, San Diego, CA as Senior Engineers. BioMicroSystems Laboratory participates in the 2015 IEEE Engineering in Medicine and Biology Conference (EMBC) in Milan, Italy with four papers. Congratulations, Ali, Bardia, Shahab, and Debnath! July 2015 Mike's paper is accepted for presentation in the 2015 IEEE Sensors Conference that will be held in Busan, South Korea in November 2015. Mehran successfully defends his Ph.D. dissertation research on July 1, 2015. Congratulations, Mehran! June 2015 Mehran's paper in the 2015 IEEE International Solid State Circuits Conference (ISSCC) is invited for a special issue of the IEEE Transactions on Biomedical Circuits and Systems to be published in December 2015. Ali's first journal paper is published in the IEEE Transactions on Biomedical Circuits and Systems. Bardia's second journal paper is accepted for publication in the IEEE Transactions on Biomedical Circuits and Systems. Congratulations, Bardia! BioMicroSystems Laboratory participates in the 2015 IEEE Symposium on VLSI Circuits in Kyoto, Japan with one paper. Congratulations, Bardia! Four papers from the BioMicroSystems Laboratory are accepted for presentation in 2015 IEEE Engineering in Medicine and Biology Conference (EMBC) that will be held in Milan, Italy in August. Nok joins the Feinstein Institute for Medical Research, Manhasset, NY as a Post-Doctoral Research Fellow. May 2015 BioMicroSystems Laboratory participates in the 2015 IEEE International Symposium on Circuits and Systems (ISCAS) in Lisbon, Portugal with two papers. Congratulations, Mehran and Shahab! Ali successfully defends his Ph.D. dissertation research on May 11, 2015. Congratulations, Ali! April 2015 Bardia successfully defends his Ph.D. dissertation research on April 24, 2015. Congratulations, Bardia! Profs. Mohseni and Nudo are awarded a United States patent on April 14, 2015 on methods and associated neural prosthetic devices for bridging brain areas to improve function. March 2015 Bardia's paper is accepted for presentation in the 2015 IEEE Symposium on VLSI Circuits that will be held in Kyoto, Japan in June. Congratulations, Bardia! February 2015 Mehran's paper in the 2015 IEEE International Solid State Circuits Conference (ISSCC) is featured in EE Times on February 26, 2015. Read the article! BioMicroSystems Laboratory participates in the 2015 IEEE International Solid State Circuits Conference (ISSCC) in San Francisco, CA with one paper and accompanying live demonstration. Congratulations, Mehran! Shahab presents his work in the Student Research Preview (SRP) session of the 2015 IEEE International Solid State Circuits Conference (ISSCC) in San Francisco, CA. Nok's second journal paper is published in the Journal of Analog Integrated Circuits and Signal Processing. January 2015 Nok's second journal paper is accepted for publication in the Journal of Analog Integrated Circuits and Signal Processing. Congratulations, Nok! Hossein Zamani joins the BioMicroSystems Laboratory from the Isfahan University of Technology, Department of Electrical and Computer Engineering. Welcome, Hossein! Reza Erfani and Fatemeh Marefat join the BioMicroSystems Laboratory from the K. N. Toosi University of Technology, Department of Electrical Engineering. Welcome Reza and Fatemeh! Mehran's and Shahab's papers are accepted for presentation in the 2015 IEEE International Symposium on Circuits and Systems (ISCAS) that will be held in Lisbon, Portugal in May 2015. November 2014 Nok successfully defends her Ph.D. dissertation research on November 24, 2014. Congratulations, Nok! Shahab's work is selected for presentation in the Student Research Preview (SRP) session of the 2015 IEEE International Solid-State Circuits Conference (ISSCC) that will be held in San Francisco, CA in February 2015. Congratulations, Shahab! BioMicroSystems Laboratory participates in the 2014 IEEE Sensors Conference in Valencia, Spain with one paper. Congratulations, Mike! October 2014 Prof. Mohseni is selected as the General co-Chair of the IEEE Biomedical Circuits and Systems (BioCAS) Conference that will be held in Cleveland, OH in October 2018. He currently serves as the Tutorials co-Chair of the 2015 edition of the conference that will be held in Atlanta, GA in October 2015. Mehran's paper on a palmtop dielectric spectroscopy platform is accepted for presentation in the 2015 IEEE International Solid-State Circuits Conference (ISSCC) that will be held in San Francisco, CA in February 2015. The paper is also selected for a live demonstration of the platform operation at the conference! September 2014 Dr. Michael Suster is promoted to the rank of Senior Research Associate. Congratulations, Mike! Debnath Maji joins the BioMicroSystems Laboratory from the Indian Institute of Technology (IIT) Kharagpur, Department of Electronics and Electrical Communication Engineering. Welcome, Debnath! BioMicroSystems Laboratory participates in the 2014 IEEE Custom Integrated Circuits Conference (CICC) in San Jose, CA with two papers. Congratulations Ali and Nok! August 2014 Mehran's first journal paper is published in the August 2014 issue of the IEEE J. Solid-State Circuits (JSSC) as an invited paper from 2013 CICC. BioMicroSystems Laboratory participates in the 2014 IEEE Engineering in Medicine and Biology Conference (EMBC) in Chicago, IL with two papers. Congratulations Bardia and Shahab! BioMicroSystems Laboratory participates in the 2014 IEEE Midwest Symposium on Circuits and Systems (MWSCAS) in College Station, TX with one paper. Congratulations Shahab! June 2014 Nok's first journal paper is published in the June 2014 issue of the IEEE Trans. Biomed. Circuits and Systems. BioMicroSystems Laboratory participates in the 2014 Neural Interfaces Conference (NIC) in Dallas, TX with three poster presentations. Congratulations Bardia, Shahab and Nok! May 2014 Ali's first journal paper is accepted for publication in the IEEE Transactions on Biomedical Circuits and Systems. Congratulations, Ali! Brecken Blackburn joins the BioMicroSystems Laboratory from the electrical engineering department of Cornell University for a summer internship. Welcome, Brecken! April 2014 Bardia's first journal paper is published in the April 2014 issue of the IEEE J. Solid-State Circuits (JSSC) as an invited paper from 2013 VLSI Circuits Symposium. February 2014 Mehran presents his work in the Student Research Preview (SRP) session of the 2014 IEEE Int. Solid State Circuits Conference (ISSCC) in San Francisco, CA. December 2013 Prof. Mohseni receives the 2013 EECS Mihajlo "Mike" Mesarovic Award for Extraordinary Impact. Profs. Mohseni's and Nudo's work on developing brain prostheses for functional recovery after traumatic brain injury receives widespread coverage by the media center of the Department of Defense, Reuters, IEEE Spectrum, Kurzweil Accelerating Intelligence, Science Daily and numerous other news outlets. Read this story in KurzweilAI! Read this story in IEEE Spectrum! Profs. Mohseni's and Nudo's work on developing brain prostheses for functional recovery after traumatic brain injury is published in the December 2013 issue of the Proceedings of the National Academy of Sciences (PNAS) of the United States! See this video! October 2013 Mehran's paper in the 2013 IEEE Custom Integrated Circuits Conference is invited for a special issue of the IEEE J. Solid-State Circuits (JSSC) to be published in August 2014. July 2013 Nok's first journal paper is accepted for publication in the IEEE Transactions on Biomedical Circuits and Systems. Congratulations, Nok! Prof. Mohseni receives a 2-year award from the NIH-NIDA to continue his work on research and development of technology for closed-loop dopamine sensing-based feedback control of neuromodulation in collaboration with Prof. Paul Garris. June 2013 Bardia's paper in the 2013 IEEE VLSI Circuits Symposium is invited for a special issue of the IEEE J. Solid-State Circuits (JSSC) to be published in April 2014. Mehran's paper is accepted for presentation in the 2013 IEEE Custom Integrated Circuits Conference (CICC) that will be held in San Jose, CA in September. The paper is also nominated for the Best Student Paper Award! Congratulations, Mehran! May 2013 Prof. Mohseni is nominated for the IEEE Distinguished Lecturer (DL) program by the Biomedical Circuits & Systems Technical Committee (BioCAS-TC) of the IEEE Circuits & Systems (CAS) society. March 2013 Bardia's paper is accepted for presentation in the 2013 IEEE Symposium on VLSI Circuits that will be held in Kyoto, Japan in June. Congratulations, Bardia! February 2013 BioMicroSystems Laboratory will attend the Microwave Week in Seattle, WA in June with one tutorial presentation (Prof. Mohseni), one RFIC paper (Ali), and one IMS paper (Mike)! Well done, everyone! Shahab successfully passes the written part of the Ph.D. qualification exam! October 2012 Bardia successfully passes the oral part of the Ph.D. qualification exam! August 2012 Mehran and Ali successfully pass the written part of the Ph.D. qualification exam! June 2012 Prof. Mohseni takes top honors with his business plan to commercialize brain injury recovery technology at the annual Medical Device Entrepreneur's Forum on June 15 in San Francisco, CA, in conjunction with the 58th annual ASAIO Conference. Read this story! March 2012 Prof. Mohseni's work on traumatic brain injury is selected as one of the top 3 finalists nationwide for presentation at the annual Medical Device Entrepreneur's Forum on June 15 in San Francisco, CA, in conjunction with the 58th annual ASAIO Conference. Prof. Mohseni receives a 2-year award from the NIH-NIBIB to continue his work on research and development of technology for neurochemical sensing and control in collaboration with Prof. Paul Garris. Bardia successfully passes the written part of the Ph.D. qualification exam! January 2012 Prof. Mohseni is selected to serve on the Technical Program Committee of the IEEE Custom Integrated Circuits Conference (CICC) and Radio-Frequency Integrated Circuits (RFIC) Symposium. Prof. Mohseni is appointed as an Associate Editor of the IEEE Transactions on Neural Systems and Rehabilitation Engineering (TNSRE). November 2011 BioMicroSystems Laboratory participates in the 2011 IEEE Biomed. Circuits and Systems Conf. in San Diego, CA with one paper and one tutorial presentation. September 2011 Dr. Michael Suster joins the BioMicroSystems Laboratory as a Research Associate. Welcome, Mike! Shahab Shahdoostfard joins the BioMicroSystems Laboratory from Sharif University of Technology, Department of Electrical Engineering. Welcome, Shahab! Meysam's second journal paper is published in the IEEE Trans. Biomedical Engineering (TBME). June 2011 Prof. Mohseni is promoted to the rank of Associate Professor with the award of tenure effective July 1. Prof. Mohseni is elected a Senior Member of the IEEE. Prof. Mohseni receives a 3-year award from the Kansas University Medical Center to develop microelectronic aids to bridge damaged spinal-cord pathways. Kanokwan (Nok) successfully passes the oral part of the Ph.D. qualification exam! Meysam's second journal paper is accepted for publication in the IEEE Trans. Biomedical Engineering! April 2011 Professor Mohseni wins the 2011 Case School of Engineering Research Award! Meysam's first journal paper is published in the April 2011 issue of the IEEE J. Solid-State Circuits (JSSC) as an invited paper. Welcome to the newly redesigned webpage of the BioMicroSystems Laboratory! March 2011 Dr. Meysam Azin becomes the second Ph.D. alum of the BioMicroSystems Laboratory! He will start his new position at the West Wireless Health Institute in San Diego, CA. Congratulations, Meysam! January 2011 Meysam successfully defends his Ph.D. dissertation research on January 20, 2011. September 2010 Profs. Mohseni and Nudo conduct a radio interview with Marketplace Tech Report, American Public Media's Marketplace Radio Program, on September 29, 2010. Listen to this story! Prof. Mohseni's research related to traumatic brain injury is featured on the website of National Public Radio (NPR). Read this story! Prof. Mohseni conducts a radio interview with Michael Bhardwaj from the Canadian Broadcasting Corporation (CBC) on September 28, 2010. Prof. Mohseni's research related to traumatic brain injury is featured in a press release by Case Western Reserve University. Read this story! Profs. Mohseni and Nudo receive a 4-year award from the US Army Medical Research and Materiel Command to develop a brain-machine-brain interface for anatomical rewiring of cortical circuitry post traumatic brain injury. BioMicroSystems Laboratory presents three papers in the 2010 IEEE Eng. Med. Biol. Conf. (EMBC) in Argentina! August 2010 Mehran Bakhshiani joins the BioMicroSystems Laboratory from Sharif University of Technology, Department of Electrical Engineering. Welcome, Mehran! Kanokwan (Nok) successfully passes the written part of the Ph.D. qualification exam! July 2010 Meysam's paper in the 2010 IEEE VLSI Circuits Symposium is invited for a special issue of the IEEE J. Solid-State Circuits (JSSC) to be published in April 2011. June 2010 BioMicroSystems Laboratory presents one paper in the 2010 IEEE VLSI Circuits Symposium in Hawaii and two papers in the 2010 Neural Interfaces Conference in California. January 2010 Ali Ebrazeh and Bardia Bozorgzadeh join the BioMicroSystems Laboratory from the Electrical Engineering Department of Sharif University of Technology and University of Tehran, respectively! December 2009 Dr. Masoud Roham becomes the first Ph.D. alum of the BioMicroSystems Laboratory! He will start his new position at the West Wireless Health Institute in San Diego, CA. Congratulations, Masoud! Masoud's third journal paper is published in the December 2009 issue of the IEEE J. Solid-State Circuits (JSSC) as an invited paper. November 2009 Masoud successfully defends his Ph.D. dissertation research on November 10, 2009. October 2009 Prof. Mohseni's research related to monitoring brain neurochemistry is featured in a press release by Case Western Reserve University. Read this story! September 2009 BioMicroSystems Laboratory presents two papers in the 2009 IEEE Eng. Med. Biol. Conf. (EMBC) in Minneapolis! June 2009 Prof. Mohseni receives a 5-year CAREER award from the National Science Foundation to develop an integrated microsystem with ultra wideband communication capability for high-site-density brain monitoring in chemical and electrical paradigms. About Us : Research : People : Publications : Teaching : Sponsors : Contact Us Copyright 2016 BioMicroSystems Laboratory. All Rights Reserved. Site designed by Academic Web Pages . diff --git a/src/data/compiled_bios/4475.txt b/src/data/compiled_bios/4475.txt new file mode 100644 index 0000000000..e888bcb571 --- /dev/null +++ b/src/data/compiled_bios/4475.txt @@ -0,0 +1 @@ + Wyatt Newman Professor, Electrical Engineering & Computer Science Contact Information: Office Location: Glennan 516A Phone Number: 216.368.6432 Email: wsn@case.edu Education: S.B. , Harvard College, Engineering Science, 1978 M.S.M.E. , Massachusetts Institute of Technology, 1980 M.S.E.E., Columbia University, 1982 Ph.D., Massachusetts Inst. of Tech., Mechanical Engineering 1988 Research and Publications Research Interests: Mechatronics, high-speed robot design, force- and vision-based machine control, artificial reflexes for autonomous machines, rapid prototyping, agile manufacturing, mobile robotic platforms Recent Publications: Marvel, J.A. and Newman, W.S., Model Assisted Stochastic Learning for Robotic Applications, IEEE Trans. Automation Science and Engineering, 2011, 8 (4), pp 835-845. Buckmaster, D.J. and Newman, W.S., Stirling Duplex System Modeling for Control System Analysis, 2012 International Energy Conversion Engineering Conference, San Diego, June, 2011. Buckmaster, D.J. and Newman, W.S., Analysis of a Stirling-Cycle Power Convertor for Domestic Combined Heat and Power, IEEE Energytech2012, May, 2011. Marvel, Jeremy A., and Wyatt S. Newman. Assessing Internal Models for Faster Learning of Robotic Assemblies , IEEE International Conference on Robotics and Automation 2010. Hudson, R.E. and Newman, W.S ., Independent Component Analysis and Bayes Theorem for Robotics and Automation IEEE Int. Conf. Robotics and Automation 2010. Marvel, Jeremy, Richard Hudson, and Wyatt Newman. Modeling and Training Radial Basis Functions with Integrate-and-Fire Neurons. Proceedings of the IEEE International Conference on Machine Learning and Applications. 12-14 December, 2010. Marvel, Jeremy A., and Wyatt S. Newman. Accelerating Robotic Assembly Parameter Optimization Through the Generation of Internal Models, Proceedings of the IEEE International Conference on Technologies for Practical Robot Applications. 9-10 November, 2009. Pp. 42-47.Marvel, Jeremy A., and Wyatt S. Newman . Internal Model Generation for Evolutionary Acceleration of Automated Robotic Assembly Optimization , Proceedings of the Performance Metrics for Intelligent Systems (PerMIS) 2009 Workshop. 21-23 September, 2009. Marvel, J.A., W.S. Newman, D.P. Gravel, G. Zhang, J. Wang, and T. Fuhlbrigge. Automated Learning for Parameter Optimization of Robotic Assembly Tasks Utilizing Genetic Algorithms , Proceedings of the 2008 IEEE International Conference on Robotics and Biomimetics. 21-26 February, 2009. Pp. 179-184. David J. Buckmaster, Wyatt S. Newman and Steven J. Somes, Compliant Motion Control for Robust Robotic Surface Finishing, 7th World Congress on Intelligent Control and Automation, Chongqing, China, June, 2008. Newman, W., Quinn, R., Team Case and the 2007 DARPA Urban Challenge , 4 th Int. Symp. On Adaptive Motion of Animals and Machines, CWRU, June, 2008. Somes, S.D.; Buckmaster, D.J.; Newman, W.S.; Overcoming Traditional Automation Limitations Through Compliant Control and Contact Sensing , Automation Science and Engineering, 2007. CASE 2007. IEEE International Conference on, 22-25 Sept. 2007 Page(s):295 299. D. Buckmaster, S. Somes, W. Newman, Process Control for Robotic Surface Finishing , 2007 IEEE Int. Conf. Rob. Auto. Video proceedings. : diff --git a/src/data/compiled_bios/4476.txt b/src/data/compiled_bios/4476.txt new file mode 100644 index 0000000000..c3ff5cdff1 --- /dev/null +++ b/src/data/compiled_bios/4476.txt @@ -0,0 +1 @@ + Christos Papachristou Professor, Electrical Engineering & Computer Science Contact Information: Office Location: Glennan 509 Office Hours: Phone Number: 216.368.5277 Email: cap2@case.edu Education: Ph.D. Electrical Engineering & Computer Science, Johns Hopkins University, 1975 Research and Publications Research Interests: VLSI design and CAD, computer architecture and parallel processing, design automation, embedded system design Recent Publications: MERO: A Statistical Approach for Hardware Trojan Detection, Cryptographic Hardware and Embedded Systems Conference and Journal (CHES-09) pp. 396- 410, (R. Chakabotry, F. Wolff, S. Paul, C. Papachristou, S. Bhunia). SRAM cell design using tri-state devices for SEU protection, 15th IEEE International On-Line Testing Symposium, (IOLTS09), pp. 114-119, (Y. Shiyanovskii, F. Wolff, C. Papachristou). Avoiding Delay Jitter in Cyber-Physical Systems Using OneWay Delay Variations Model, IEEE International Conference on Computational Science and Engineering (CSE09), pp. 295-302, (H. Al-Omari, F. Wolff, C. Papachristou, D. McIntyre). An Adaptable Task Manager for Reconfigurable Architecture Kernels, IEEE NASA/ESA Conference on Adaptive Hardware and Systems, (AHS09), pp. 132-137, (Y. Shiyanovskii, F. Wolff, C. Papachristou, D. Wyer) Smoothing Delay Jitter in Networked Control System. International Journal of Embedded Computing. Vol. 4, No. 1, pp. 12-21, Jan. 2011 (Al Omari, C. Papachristou, F. Wolff, D. McIntyre). Fast and Compact Binary-to-BCD Conversion Circuits for Decimal Multiplication. IEEE Int. Conf. Comp. Design (ICCD-2011), October 2011. (O. Khaleel, Z. Qouda, M. Khaleel, C. Papachristou, F. Wolff). Probabilistic Multicast Trees. Journal of Computer Science and Technology. (April 2012). (D. Johnston, D. McIntyre, F. Wolff, C. Papachristou). A Novel Radiation Tolerant SRAM Design Based on Synergetic Functional Component Separation for Nanoscale CMOS. IEEE Intern. Symp. on Online Testing (IOLTS-2011). July 2011. (Y. Shiyanovskii, A. Rajendran, C. Papachristou). An Analysis of Efficient Formulas for Elliptic Curve Point Addition over Binary Extension Fields. IEEE Conf. on Information Science and Systems (CISS-2011). March 2011. (L. Leinweber, C. Papachristou. F. Wolff). Optimizing Application Level Multicast Trees over Wireless Networks. IEEE National Aerospace & Electronics Conf. (NAECON'11), (D. Johnston, D. McIntyre, F. Wolff, C. Papachristou). Noise Margin, Critical Charge and Power-Delay Tradeoffs for SRAM Design. IEEE Intern. Symp. on Online Testing (IOLTS-2011). July 2011. (A. Rajendran, Y. Shiyanovskii, F. Wolff, C. Papachristou). Multiple-Parameter Side-Channel Analysis: A Non-invasive Hardware Trojan Detection Approach. IEEE Symposium on Hardware Oriented Security and Trust (HOST'10), June 2010. [Best paper candidate]. (S. Narasimhan, D. Du, R. Chakraborty, S. Paul, F. Wolff, C. Papachristou, K. Roy and S. Bhunia). Network Calibrarion of Embedded Sensors. IEEE National Aerospace & Electronics Conf. (NAECON'10), July 2010. (C. Papachristou, S. Bhunia, F. Wolff). Effect of Voltage Scaling on Soft Error Protection Methods for SRAMs. IEEE National Aerospace & Electronics Conf. (NAECON'10), July 2010. (Y. Shiyanovskii, A. Rajendran, F. Wolff, C. Papachristou). System level self-healing for parametric yield and reliability improvement under power bound. EEE NASA/ESA Conference on Adaptive Hardware and Systems (AHS'2010), June 2010. (S. Narasimhan, S. Paul, R. Chakraborty, F. Wolff, C. Papachristou, D. Weyer, S. Bhunia). : diff --git a/src/data/compiled_bios/4477.txt b/src/data/compiled_bios/4477.txt new file mode 100644 index 0000000000..234153a922 --- /dev/null +++ b/src/data/compiled_bios/4477.txt @@ -0,0 +1 @@ + Maya (Marija) Prica Assistant Professor, Electrical Engineering & Computer Science Contact Information: Office Location: Olin 609 Phone Number: 216-368-4466 Email: mxp438@case.edu Education: Ph.D., Electrical and Computer Engineering, Carnegie Mellon University, 2010 M.S., Electrical Engineering, Unv. of Novi Sad, 2005 B.S., Electrical Engineering, Unv. of Novi Sad, 2000 Research and Publications Research Interests: Dr. Prica's research interests include distribution power system modeling, operation, planning and protection; smart grid and microgriddesign, operation and protection; integration of advanced technologies and control; decision-making for future electricity systems; and optimization of energy storage operation. CV: : diff --git a/src/data/compiled_bios/4478.txt b/src/data/compiled_bios/4478.txt new file mode 100644 index 0000000000..f24f330bc3 --- /dev/null +++ b/src/data/compiled_bios/4478.txt @@ -0,0 +1 @@ + Daniel Saab Associate Professor, Electrical Engineering & Computer Science Contact Information: Office Location: Glennan 515B Phone Number: 216.368.2494 Email: dgs3@case.edu Education: Ph.D. EE, University of Illinois at Urbana-Champaign, 1988. MS, CE, University of Illinois at Urbana-Champaign, 1985. BS, CE, University of Illinois at Urbana-Champaign, 1983. Research and Publications Research Interests: Computer architecture, VLSI system design and test, CAD design automation Recent Publications: Faisal K. Chowdhury, Massood Tabib-Azar, Sijing Han, and Daniel G. Saab MEMS BASED SINGLE DEVICE XOR AND AND LOGIC GATES FOR LSI MECHANICAL PROCESSORS OPERATING IN HIGH RADIATION ENVIRONMENTS, Solid-State Sensors, Actuator and Micosystems WorkShop, Hilton Head 2012, NC. Faisal K. Chowdhury, Karumbaiah N. Chappanda, Daniel Saab, & Massood Tabib-Azar, "NOVEL SINGLE-DEVICE XOR AND AND GATES FOR HIGH SPEED, VERY LOW POWER LSI MECHANICAL PROCESSORS" , 16th Int. Solid-State Sensors, Actuators and Microsystems Conference (TRANSDUCERS 2011), pp 1100-1103, Current date Aug-01-2011, Beijing, China. Daniel G. Saab, Massood Tabib-Azar Complementary Nano-Electro-Mechanical Switche For Ultra-Low-Power Applications: Design and Modeling, The International Symposium on Quality Electronic Design, Santa Clara, CA. March 14-16, 2011 Massood Tabib-Azar, Faisal Khair Chowdhury, Karumbaiah C. Nanaiah, Daniel Saab, Novel single device XOR and AND gates fabricated using MEMS technology, Nano Utah, Oct 14-15, 2010. Faisal Khair Chowdhury, Karumbaiah C. Nanaiah, Massood Tabib-Azar, Daniel Saab, 1 V, 1 GHz, Sub femto-amp leakage MEMS switches, Nano Utah, Oct 14-15, 2010. Vijay K. Sirigir, Khawla Alzoubi, Daniel G. Saab, Fatih Kocan, Massood Tabib-Azar, "Ultra-low-Power Ultra-fast Hybrid CNEMS-CMOS FPGA," International Conference on Field Programmable Logic and Applications, pp. 368-373, 2010 International Conference on Field Programmable Logic and Applications, 2010. Khawla Alzoubi, Daniel G. Saab, Massood Tabib-Azar,"Circuit Simulation for Nano-Eleetro-Mechanical Switches VLSI Circuits", 53rd IEEE International Midwest Symposium on Circuits and Systems, Seattle, Washington, August 1-4, 2010. Massood Tabib-Azar, Khawla Alzoubi, Daniel Saab, "Novel MEMS 900 MHz Electrostatic Silicon Delay Line", IEEE SENSORS 2010, Hawaii, Nov. 2010. Massood Tabib-Azar, S.R. Venumbaka, Khawla Alzoubi, Daniel Saab,"1 Volt, 1 GHz NEMS Switches", IEEE SENSORS 2010, Hawaii, November 2010. Fatih Kocan, Lun Li, Daniel G. Saab: Exact Path Delay Fault Coverage Calculation of Partitioned Circuits. IEEE Trans. Computers 58(6): 858-864 (2009). Khawla Alzoubi, Daniel G. Saab, and Massood Tabib-Azar. 2009. Complementary nano-electromechanical switches for ultra-low power embedded processors. In Proceedings of the 19th ACM Great Lakes symposium on VLSI (GLSVLSI '09). ACM, New York, NY, USA, 309-314. Khawla Alzoubi, Daniel Saab and Massood Tabib-Azar Complementary Nano-Electromechanical Switches: Fabrication, Modeling, Design and Simulation, 2009 ICIDCT. Saab, D.G. Nagubadi, V. Kocan, F. Abraham, J., Extraction based verification method for off the shelf integrated circuits, Quality Electronic Design, 2009. ASQED 2009. 1st Asia Symposium, Kuala Lumpur, July 2009. Daniel G. Saab, Fatih Kocan , Jacob Abraham " Hardware Trojan Modeling and Detection Techniques ", Austin Conference on Integrated Systems & Circuits 2008, Austin, Texas, May 7-9, 2008. : diff --git a/src/data/compiled_bios/4479.txt b/src/data/compiled_bios/4479.txt new file mode 100644 index 0000000000..f2897ea42c --- /dev/null +++ b/src/data/compiled_bios/4479.txt @@ -0,0 +1 @@ + Narasingarao Sreenath Professor, Electrical Engineering & Computer Science Contact Information: Office Location: Olin 608 Phone Number: 216.368.6219 Email: nxs6@case.edu Education: University of Maryland, College Park Ph.D. 1987 Electrical Engineering Indian Institute of Science, Bangalore, India M.E. 1982 Electrical Engineering Bangalore University, Bangalore, India B.S. 1980 Electrical Engineering Research and Publications Research Interests: Systems biology complexity research (modeling, structural issues, and simulation); cell signaling, population behavior, and large-scale behavior; global issues and sustainable development Recent Publications: 5 closely related to the project Sreenath, S.N., Cohesiveness: general systems and contra-reductionism revolution, Int. J. of General Systems , Vol. 36, No. 2, 537-552, 2008. Sreenath, S.N., Soebiyanto, R.P, Mesarovic, M.D., Wolkenhauer, O., Coordination of Crosstalk between MAPK-PKC Pathways, IET Systems Biology J . ; 1 (1): 33-40 Jan 2007. Mesarovic, M.D., Sreenath, N., and Keene, J. Search for Organizing Principles: Understanding in Systems Biology, IEE Systems Biology J. , Vol 1, No. 1, pp 19-27, 2004 (premiere issue). Chen, C-K. and Sreenath, N., Control of Coupled Spatial Many-body Systems with Nonholonomic Constraints, J. of Math. Systems, Est. and Control , pp 34-54, March 1993. Sreenath, N., Y.G. Oh, P.S. Krishnaprasad and J.E. Marsden, The Dynamics of Coupled Planar Rigid Bodies Part I: Reduction, Equilibria and Stability, Int. J. of Dynamics and Stability of Systems, Vol. 3, No. 1 & 2, pp. 25-49, 1988 (25 pages) 5 other significant publications Sreenath, N., Systems Representation of Global Climate Change Models: Foundation for a Systems Science Approach , Springer-Verlag, Berlin / New York, 1993 (291 pages). *Sreenath, N., Vali, A., and Susiarjo, G., Nile River Problematique: An Integrated Look at the Future of Egypt & Ethiopia, Water Intl ., November 2002. *Susiarjo, G., Sreenath, N., Vali, A., On Optimal Global Sustainable Population, J. of Environment, Development and Sustainability , (accepted Aug 2005, in press). Sreenath, N., Global Modeling and Reasoning Support Tools, Encyclopedia of Life Support Systems (EOLSS), 1999. Wolkenhauer, O., Sreenath, S.N., Wellstead, P., Ullah, M., and Cho, K-H., A Systems- and Signal-Oriented Approach to IntraCellular Dynamics, Biochem. Soc. Trans ., Vol. 33, part 3, pp 507-515, 2005. : diff --git a/src/data/compiled_bios/448.txt b/src/data/compiled_bios/448.txt new file mode 100644 index 0000000000..78206ddc6c --- /dev/null +++ b/src/data/compiled_bios/448.txt @@ -0,0 +1 @@ +You may be trying to access this site from a secured browser on the server. Please enable scripts and reload this page. Prospective Students Students Alumni Faculty/Staff Media Partners/Peers Login iNTU (Intranet Portal) BOT Intranet GSlink Studentlink ServiceNow@NTU Ariba@NTU NTU VPN Email Reset Password Go to Advanced Search About NTU Corporate Info Organisation Publications Giving Careers Contact Us Visiting NTU Global International Relations Student exchange and short-term mobility programmes Admissions Undergraduate Admissions Graduate Admissions Incoming Non-Graduating Students Academics NTU Education Undergraduate Programmes Graduate Programmes Colleges/Schools Global programmes Institutes & Centres Continuous Education Research Research@NTU Research Directory Research Integrity Research Grant Nanyang Award & Programme Highlights Publications Research Facilities & Equipment NTU Policy Guide News And Events About RSO Campus Life Events Student Life Residential Education Community Engagement Accommodation Food & Beverage Retail & Services Healthcare Sports & Recreation Student Organisations Campus Clubhouse Academic Profile Research Directory Academic Profile Academic Profile Assoc Prof Quek Hiok Chai Associate Chair (Students), School of Computer Science and Engineering School of Computer Science and Engineering College of Engineering Email: ASHCQUEK@ntu.edu.sg Phone: (+65)6790 4926 Office: N4-02c-97 Education PhD Heriot-Watt University 1990 BSc(Hons) Heriot-Watt University 1986 Biography Dr Chai Quek is currently in the School of Computer Engineering since 1990. He received his Bachelor degree in Science and Ph.D. degrees from the Heriot-Watt University (Edinburgh). His research interests include Neurocognitive informatic, Biomedical Engineering and Computational Finance. He has done significant research work his research areas and published over 200 top quality international conference and journal papers. He has been often invited as a programme committee member or referee and reviewer for a number of premier conferences and journals, including IEEE TNN, TEvC etc. Dr. Quek is a senipr member of IEEE. He is also a member of the IEEE Technical Committee on Computational Finance and Economics. He has constantly and sucessfully groomed several high calibre research manpower who are awarded prestigious Singapore Millenium Foundation Scholar and Fellowships, Lee Kuan Yew Fellowship and A*Star Scholarhips. Research Interests His main interests includes the research and study of brain-inspired functional and computational models of memory structures that underlie the human reasoning process. In addition, advanced brain-inspired reasoning and cognition frameworks such as focus of attention, affect modeling, skill learning from novice to expert are actively investigated using the neurocognitive informatic approach. Fuzzy, Fuzzy neural, Neural, GA, GA-Neural, Rough set that maps formal fuzzy logical structures onto neural systems to perform fuzzy set derivation and Rule identification/reduction are investigated. The development of architectures that supports on-line and off-line learning fuzzy intelligent rule based systems is examined. The research issues cover fuzzy clustering, learning, modeling, fuzzy rule model, etc. These basic techniques are used to craft the brain-inspired memory learning systems. These memory learning structures are the building blocks of the functional neuro-cognitive brain and they can be broadly classified into huppocampal global semantic memories and neocortical like semantic association memories. In addition, research into CMAC and in-house developed MCMACs and Fuzzy MCMACs are actively pursued. They form a class of cerebellar like association memories that have excellent memory resolution and recall. The application areas are extensive as they rely heavily on the basic research into brain-inspired learning memory structures and brain-inspired cognitive architectures for emotion, cognition and perception modeling. The exciting application areas include computational finance ? arbitration, portfolio, trend analysis, bond and commodity trading; biomedical engineering ? diabetes modeling and control, ICU ventilator control; Affect modeling for edutainment, forensic tools, marketing research tools; Medical decision support tools ? thermograph analysis, pediatric leukemia and ovarian cancer analysis; Intelligent transportation analysis tools ? trend analysis and incident monitoring; as well as student affect modeling in Intelligent Tutoring System. Current Projects Data Analytics and Complex Systems(IAF-ICP) Data Analytics and Complex Systems(RR) Decoding of Imagined Hand Movement Kinematics using Brain-Computer Interface Object Co-space Matching for the Visually Impaired RR @ NTU Corp Lab - Computational Engineering Sensor-data intelligent computational modeling research for medical informatics. Selected Publications Javan Tan and C.Quek. (2010). A BCM-theory of meta-plasticity for online self-reorganizing fuzzy-associative learning. IEEE Transactions on Neural Networks, . S. D. Teddy, C. Quek, E. M-K. Lai and A. Cinar. (2010). PSECMAC Intelligent Insulin Schedule for Diabetic Blood Glucose Management Under Non Meal Announcement. IEEE Transactions on Neural Networks, 21 (3), 361-380. W.L.Tung and C.Quek. (2010). eFSM A Novel Online Neural-Fuzzy Semantic Memory Model. IEEE Transactions on Neural Networks, 21 (1), 136-157. G.M.Goh, C.Quek & D.L.Maskell. (2010). EpiList II: Closing the Loop in the Development of Generic Cognitive Skills. IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans, . C. Ting and C.Quek. (2009). A Novel Blood Glucose Regulation using TSK0-FCMAC: A Fuzzy CMAC Based on the Zero-ordered TSK Fuzzy Inference Scheme. IEEE Transactions on Neural Networks, 20 (5), 856-871. Back to Research Directory NTUPageContent Share Article Email Share Academic Profile Research Categories Faculty Listing Get ResIDs Main Campus 50 Nanyang Avenue Singapore 639798 Tel: (65) 67911744 NOVENA CAMPUS 11 MANDALAY ROAD SINGAPORE 308232 Tel: (65) 65138572 Contact Getting to NTU Getting Around NTU blogs@ntu Ask NTU Career Opportunities Research Integrity Follow NTU sg Copyright Disclaimer Data Protection And Privacy Reg. No. 200604393R 2012 Nanyang Technological University Last modified on 7-Dec-2017 diff --git a/src/data/compiled_bios/4480.txt b/src/data/compiled_bios/4480.txt new file mode 100644 index 0000000000..65e636d0af --- /dev/null +++ b/src/data/compiled_bios/4480.txt @@ -0,0 +1 @@ + Christian Zorman Director, Microfabrication Laboratory Co-Director of Research and Scientific Affairs, Advanced Platform Technology Center Professor, Electrical Engineering & Computer Science Contact Information: Office Location: Glennan 714 Office Hours: Spring 2017 Tuesdays: 9:30 to 10:30 AM Wednesdays: 9:30 to 10:30 AM Thursdays: 1:30 to 2:30 PM Phone Number: 216.368.6117 Email: caz@case.edu Education: PhD, Physics, Case Western Reserve University, 1994 MS, Physics, Case Western Reserve University, 1991 BS cum laude, Physics, The Ohio State University, 1982 BA cum laude, Economics, The Ohio State University, 1982 Research and Publications Research Interests: Materials and processing techniques for MEMS and NEMS, wide bandgap semiconductors, development of materials and fabrication techniques for polymer-based MEMS and bioMEMS Recent Publications: S. Rafique, L. Han, C.A. Zorman, and H. Zhao, Synthesis of Wide Bandgap -Ga 2 O 3 Rods on 3C-SiC-on-SiC, Crystal Growth and Design , vol. 16, pp. 511517, (2016). S. Ghosh, E. Ostrowski, R. Yang, D Debnath, P.X.-L. Feng, C.A. Zorman, and R.M. Sankaran, Atmospheric-Pressure Plasma Reduction of Metal Cation-Containing Polymer Films to Produce Electrically Conductive Nanocomposites by an Electrodiffusion Mechanism, Plasma Chemistry and Plasma Processing , vol. 36, pp. 295-307, (2016). R. Yang, Z. Wang, J. Lee, C.A. Zorman and P.X.L. Feng, High frequency torsional-mode nanomechanical resonators enabled by very thin nanocrystalline diamond diaphragms, Diamond and Related Materials, vol. 54, pp. 19-25 (2015). D.S. Howe, J. Dunning, C. Zorman, S.L. Garverick and K.M. Bogie, Battery-Powered, High-Voltage Stimulation Circuits for a Wound Healing Device Annals of Biomedical Engineering , vol. 43, pp. 306-313 (2015) doi: 10.1007/s10439-014-1134-1. A. de Leon, A.C. Barnes, P. Thomas, J. O'Donnell, C.A. Zorman, R.C. Advincula, Transfer Printing of Self-folding Polymer-Metal Bilayer Particles, ACS Applied Materials and Interfaces, vol. 6, pp 22695-22700 (2014). J.L. Jordan, R.N. Simons and C.A. Zorman, Contactless Radio Frequency Probes for High Temperature Characterization of Microwave Integrated Circuits, Electronics Letters , vol. 50, pp. 817-819 (2014). A.E. Hess-Dunning, R.L. Smith and C.A. Zorman, Polynorbornene as an Enabling Structural Material for Polymer-based BioMEMS, Journal of Applied Polymer Science , vol. 131, paper # 40969 (2014) doi: 10.1002/app.40969, Featured on Cover. A.E. Hess-Dunning, D.J. Tyler, J.P. Harris, J.R. Capadona, C. Weder, S.J. Rowan, and C.A. Zorman, "Microscale Characterization of a Mechanically Adaptive Polymer Nanocomposite with Cotton-Derived Cellulose Nanocrystals for Implantable BioMEMS", Journal of Microelectromechanical Systems , vol. 23, pp. 774-784 (2014). S. Ghosh, R. Yang, M. Kaumeyer, C.A. Zorman, S. J. Rowan, P.X.-L. Feng, and R.M. Sankaran, Fabrication of Electrically Conductive Metal Patterns at the Surface of Polymer Films by Microplasma-Based Direct Writing, ACS Applied Materials and Interfaces, vol. 6, pp. 3099-3104 (2014). X-A. Fu, J. Trevino, M. Mehregany, C.A. Zorman, Doped Polycrystalline 3C-SiC Films With Low Stress for MEMS Part II: Characterization Using Micromachined Structures, Journal of Micromechanics and Microengineering , vol. 24, pp. 065001-065009 (2014). X-A. Fu, J. Trevino, M. Mehregany, C.A. Zorman, Doped Polycrystalline 3C-SiC films with Low Stress for MEMS Part I: Deposition Conditions and Film Properties, Journal of Micromechanics and Microengineering, vol. 24 , pp. 035013-035020 (2014). : diff --git a/src/data/compiled_bios/4481.txt b/src/data/compiled_bios/4481.txt new file mode 100644 index 0000000000..e0d170e482 --- /dev/null +++ b/src/data/compiled_bios/4481.txt @@ -0,0 +1 @@ + Farhad Kaffashi Research Assistant Professor Assistant Professor, Electrical Engineering & Computer Science Contact Information: Email: fxk12@case.edu : diff --git a/src/data/compiled_bios/4482.txt b/src/data/compiled_bios/4482.txt new file mode 100644 index 0000000000..1e511971f8 --- /dev/null +++ b/src/data/compiled_bios/4482.txt @@ -0,0 +1 @@ + Francis "Frank" L. Merat, Ph.D., P.E. Associate Professor Electrical Engineering and Computer Science Dept. Case Western Reserve University 2123 Martin Luther King Blvd Glennan 518 Cleveland, OH 44106-7071 U.S.A. Phone: +1-216-368-4572 Fax: +1-216-368-6039 flm at po.cwru.edu Office Hours: No open office hours during summer. By appointment only. Biographical Sketch Frank L. Merat was born in Frenchville , Pennsylvania in 1949. He received the B.S in Electrical Engineering from Case Institute of Technology in 1972, and a M.S. and Ph.D. in electrical engineering from Case Western Reserve University in 1975 and 1979 respectively. He is presently Associate Professor of Electrical Engineering and Computer Science at Case Western Reserve University. He served as Interim Department Chairman from May 1999 to December 2000, Associate Chair for Undergraduate Matters from January 2001 to December 2002, and Associate Chair for Electrical and Computer Engineering from January 2003 to June 2008. Dr. Merat is a member of the Society for Photo-Optical Instrumentation Engineers, the Association for Computing Machinery, and the Society of Manufacturing Engineers and is a Senior Member of the Institute of Electrical and Electronics Engineers. His technical interests include image processing and computer vision as applied to robots and manufacturing, rf electronics, and intelligent sensors and machines. Dr. Merat has taught many classes including analog and digital circuits classes, lasers and optics, electromagnetic fields, digital image processing, pattern recognition, wireless communications, assembly language programming/computer architecture, and rf electronics. Dr. Merat is very active with students and student advising and was one of the first recipients of the Distinguished Advisor Award awarded by the National Association for Academic Advising and ACT . He receiver the University's Wittke Award for Distinguished Undergraduate Teaching in 2010.. Dr. Merat representa the Case school of Engineering on the Faculty Senate Committee on Undergraduate Education . He is also a member of the Information Technology Services Planning and Advisory Committe (ITSPAC) . Dr. Merat consults in product design, intellectual property issues, and of the failure mechanisms of products, an area called forensic engineering , especially as it relates to electrical and/or electronic systems. My Links These are the links to the things you were actually looking for. Teaching Publications Full CV (pdf) COMING SOON Bio Sketch COMING SOON My Research (not complete) Available Senior Projects (Both from me and from industry) Electronics - want to know where to get free integrated circuits and parts, how about buying an old oscilloscope or other test equipment, where to get printed-circuit board layout software, PSpice, sources of useful electronics design software, etc. Information for BS/MS students TEST - htpasswd test Created: 2002-1-12 . Last Modified: 2014-6-21 . diff --git a/src/data/compiled_bios/4483.txt b/src/data/compiled_bios/4483.txt new file mode 100644 index 0000000000..68f31b6e01 --- /dev/null +++ b/src/data/compiled_bios/4483.txt @@ -0,0 +1 @@ + Cynthia Hatcher Department Chair's Assistant Electrical Engineering & Computer Science Contact Information: Office Location: Glennan 321 Phone Number: 216-368-2802 Email: cdh@case.edu : diff --git a/src/data/compiled_bios/4484.txt b/src/data/compiled_bios/4484.txt new file mode 100644 index 0000000000..1cf7a5a920 --- /dev/null +++ b/src/data/compiled_bios/4484.txt @@ -0,0 +1 @@ + YoLonda Stiggers Coordinator Electrical Engineering & Computer Science Contact Information: Office Location: Glennan 321 Phone Number: 216-368-0354 Email: yxs307@case.edu : diff --git a/src/data/compiled_bios/4485.txt b/src/data/compiled_bios/4485.txt new file mode 100644 index 0000000000..26a4256b97 --- /dev/null +++ b/src/data/compiled_bios/4485.txt @@ -0,0 +1 @@ + prof_AT_gatech_DOT_edu 2134 Klaus Advanced Computing Georgia Institute of Technology 226 Ferst Drive NW Atlanta, GA 30332 JACOB ABERNETHY Currently an Assistant Professor in the School of Computer Science in the College of Computing at the Georgia Institute of Technology . My research focus is Machine Learning, and I like discovering connections between Optimization, Statistics, and Economics. I finished my PhD at UC Berkeley with Peter Bartlett in 2011, and I was a Simons postdoctoral fellow with Michael Kearns for the following two years. HOME RESEARCH GROUP PUBLICATIONS TALKS TEACHING FUN FACTS News Flint water crisis: How AI is finding thousands of hazardous pipes more_vert NewScientist View My Flint Portfolio View Article Flint Portfolio close In collaboration with my colleague and friend, Prof. Eric Schwartz, and with the help of several talented students as part of the Michigan Data Science Team, we have contributed a great deal of statistical and data-oriented work towards recovery efforts in Flint's water crisis. View my Flint portfolio to see all related articles PUT YOUR NOTES HERE Current group Benjamin Bray PhD Student Naveen Kodali PhD Student Bhuvesh Kumar PhD Student Kevin Lai PhD Student Jun-Kun Wang PhD Student Andre Wibisono Postdoctoral Fellow Former students and postdocs Ruihao Zhu former PhD Student, currently completing PhD at MIT Chansoo Lee Received PhD in 2018, now at Google Matus Telgarsky former Postdoctoral Fellow, currently Assistant Professor at the University of Illinois at Urbana-Champagne Sindhu Kutty Graduated! Former PhD student in CSE. Currently a faculty member at Swarthmore College Conference and Workshop Papers Abernethy, J., & Wang, J.-K. (2017). On Frank-Wolfe and Equilibrium Computation. In Advances in Neural Information Processing Systems . Chojnacki, A., Dai, C., Farahi, A., Shi, G., Webb, J., Zhang, D. T., Schwartz, E. (2017). A Data Science Approach to Understanding Residential Water Contamination in Flint. In Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (pp. 14071416). ACM. PDF Li, J., Ozog, P., Abernethy, J., Eustice, R. M., & Johnson-Roberson, M. (2016). Utilizing high-dimensional features for real-time robotic applications: Reducing the curse of dimensionality for recursive Bayesian estimation. In Intelligent Robots and Systems (IROS), 2016 IEEE/RSJ International Conference on (pp. 12301237). IEEE. PDF Abernethy, J., Lahaie, S., & Telgarsky, M. (2016). Rate of Price Discovery in Iterative Combinatorial Auctions. In Proceedings of the 2016 ACM Conference on Economics and Computation (pp. 809809). ACM. PDF Azab, M., Mihalcea, R., & Abernethy, J. (2016). Analysing RateMyProfessors Evaluations Across Institutions, Disciplines, and Cultures: The Tell-Tale Signs of a Good Professor. In International Conference on Social Informatics (pp. 438453). Springer International Publishing. PDF Abernethy, J., & Hazan, E. (2016). Faster Convex Optimization: Simulated Annealing with an Efficient Universal Barrier. In International Conference on Machine Learning (pp. 25202528). PDF Abernethy, J. D., Amin, K., & Zhu, R. (2016). Threshold bandits, with and without censored feedback. In Advances in Neural Information Processing Systems (To Appear) (pp. 48894897). PDF Abernethy, J., & Johnson-Roberson, M. (2015). Financialized methods for market-based multi-sensor fusion. In IEEE/RSJ International Conference on Intelligent Robots and Systems . PDF Waggoner, B., Frongillo, R., & Abernethy, J. (2015). A Market Framework for Eliciting Private Data. In Advances in Neural Information Processing Systems 28 . PDF Abernethy, J., Lee, C., & Tewari, A. (2015). Fighting Bandits with a New Kind of Smoothness. In Advances in Neural Information Processing Systems 28 . PDF Abernethy, J., Chen, Y., Ho, C.-J., & Waggoner, B. (2015). Low-cost learning via active data procurement. In Proceedings of the Sixteenth ACM Conference on Economics and Computation (pp. 619636). ACM. PDF Abernethy, J., Lahaie, S., & Telgarsky, M. (2015). Price Discovery in Subgradient Combinatorial Auctions. In Auctions, Market Mechanisms, and Their Applications . AMMA Non-archival Track. PDF Abernethy, J., Kutty, S., Lahaie, S., & Sami, R. (2014). Information aggregation in exponential family markets. In (EC) Proceedings of the 15th ACM conference on Economics and computation (pp. 395412). ACM. PDF Abernethy, J., Lee, C., Sinha, A., & Tewari, A. (2014). Online Linear Optimization via Smoothing. In (COLT) Conference on Learning Theory . PDF Wang, Q., Sheng, S.-P., Abernethy, J., & Liu, M. (2014). Jamming Defense Against a Resource-Replenishing Adversary in Multi-channel Wireless Systems. In (WiOpt) International Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks . PDF Abernethy, J. D., Frongillo, R. M., Li, X., & Vaughan, J. W. (2014). A general volume-parameterized market making framework. In (EC) Proceedings of the 15th ACM conference on Economics and computation (pp. 413430). ACM. PDF McMahan, B., & Abernethy, J. (2013). Minimax optimal algorithms for unconstrained linear optimization. In (NIPS) Advances in Neural Information Processing Systems (pp. 27242732). PDF Abernethy, J., Bartlett, P., Frongillo, R., & Wibisono, A. (2013). How to Hedge an Option Against an Adversary: Black-Scholes Pricing is Minimax Optimal. In (NIPS) Advances in Neural Information Processing Systems (pp. 23462354). PDF Abernethy, J., Amin, K., Draief, M., & Kearns, M. (2013). Large-Scale Bandit Problems and {KWIK} Learning. In (ICML) Proceedings of the 30th International Conference on Machine Learning (pp. 588596). PDF Abernethy, J., & Kale, S. (2013). Adaptive Market Making via Online Learning. In (NIPS) Advances in Neural Information Processing Systems (pp. 20582066). PDF Abernethy, J., Frongillo, R. M., & Wibisono, A. (2012). Minimax option pricing meets black-scholes in the limit. In (STOC) Proceedings of the 44th Symposium on Theory of Computing (pp. 10291040). ACM. PDF Abernethy, J. D., & Frongillo, R. M. (2012). A Characterization of Scoring Rules for Linear Properties. In (COLT) Conference on Learning Theory . PDF Abernethy, J., & Frongillo, R. M. (2011). A Collaborative Mechanism for Crowdsourcing Prediction Problems. In (NIPS) Advances in Neural Information Processing Systems (pp. 26002608). PDF Abernethy, J., Chen, Y., & Wortman Vaughan, J. (2011). An optimization-based framework for automated market-making. In (EC) Proceedings of the 12th ACM conference on Electronic commerce (pp. 297306). ACM. PDF Abernethy, J., Bartlett, P. L., & Hazan, E. (2011). Blackwell approachability and low-regret learning are equivalent. In (COLT) Conference on Learning Theory . PDF Abernethy, J., & Warmuth, M. K. (2010). Repeated Games against Budgeted Adversaries. In (NIPS) Advances in Neural Information Processing Systems (pp. 19). PDF Abernethy, J., Bartlett, P. L., Buchbinder, N., & Stanton, I. (2010). A regularization approach to metrical task systems. In (ALT) Algorithmic Learning Theory (pp. 270284). Springer Berlin Heidelberg. PDF Abernethy, J., & Rakhlin, A. (2009). Beating the adaptive bandit with high probability. In (COLT) Conference on Learning Theory . PDF Abernethy, J., Agarwal, A., Bartlett, P. L., & Rakhlin, A. (2009). A stochastic view of optimal regret through minimax duality. In (COLT) Conference on Learning Theory . PDF Abernethy, J., Chapelle, O., & Castillo, C. (2008). Web spam identification through content and hyperlinks. In (AirWeb) Proceedings of the 4th international workshop on Adversarial information retrieval on the web (pp. 4144). ACM. PDF Abernethy, J., Bartlett, P. L., Rakhlin, A., & Tewari, A. (2008). Optimal strategies and minimax lower bounds for online convex games. In (COLT) Conference on Learning Theory . PDF Abernethy, J., Hazan, E., & Rakhlin, A. (2008). Competing in the Dark: An Efficient Algorithm for Bandit Linear Optimization. In (COLT) Conference on Learning Theory . PDF ** COLT 2008 Best Student Paper Award & 2008 Pat Goldberg Memorial Best Paper Award from IBM ** Abernethy, J., Warmuth, M. K., & Yellin, J. (2008). Optimal strategies from random walks. In (COLT) Conference on Learning Theory . PDF Abernethy, J., Bartlett, P., & Rakhlin, A. (2007). Multitask learning with expert advice. In (COLT) Conference on Learning Theory . PDF Rakhlin, A., Abernethy, J., & Bartlett, P. L. (2007). Online discovery of similarity mappings. In (ICML) Proceedings of the 24th international conference on Machine learning (pp. 767774). ACM. PDF Abernethy, J., Langford, J., & Warmuth, M. K. (2006). Continuous experts and the binning algorithm. In (COLT) Conference on Learning Theory . PDF Technical Report Kodali, N., Abernethy, J. D., Hays, J., & Kira, Z. (2017). How to Train Your DRAGAN . CoRR (Vol. abs/1705.07215). Retrieved from http://arxiv.org/abs/1705.07215 Waggoner, B., Frongillo, R. M., & Abernethy, J. D. (2017). Addendum to "A Market Framework for Eliciting Private Data" . CoRR (Vol. abs/1703.00899). Retrieved from http://arxiv.org/abs/1703.00899 Abernethy, J. D., Anderson, C., Dai, C., Farahi, A., Nguyen, L., Rauh, A., Yang, S. (2016). Flint Water Crisis: Data-Driven Risk Assessment Via Residential Water Testing . CoRR (Vol. abs/1610.00580). Retrieved from http://arxiv.org/abs/1610.00580 Abernethy, J., & Hazan, E. (2015). Faster Convex Optimization: Simulated Annealing with an Efficient Universal Barrier . CoRR (Vol. abs/1507.02528). Retrieved from http://arxiv.org/abs/1507.02528 Abernethy, J. D., Lee, C., & Tewari, A. (2015). Spectral Smoothing via Random Matrix Perturbations . CoRR (Vol. abs/1507.03032). Retrieved from http://arxiv.org/abs/1507.03032 Abernethy, J. D., Chen, Y., Ho, C.-J., & Waggoner, B. (2015). Actively Purchasing Data for Learning . CoRR (Vol. abs/1502.05774). Retrieved from http://arxiv.org/abs/1502.05774 Abernethy, J., Kutty, S., Lahaie, S., & Sami, R. (2014). Information Aggregation in Exponential Family Markets . CoRR (Vol. abs/1402.5458). Abernethy, J., Lee, C., Sinha, A., & Tewari, A. (2014). Online Linear Optimization via Smoothing . CoRR (Vol. abs/1405.6076). Abernethy, J., Frongillo, R. M., & Wibisono, A. (2012). Minimax Option Pricing Meets Black-Scholes in the Limit . CoRR (Vol. abs/1202.2585). Abernethy, J., & Frongillo, R. M. (2011). A Collaborative Mechanism for Crowdsourcing Prediction Problems . CoRR (Vol. abs/1111.2664). Abernethy, J., Bartlett, P. L., & Hazan, E. (2010). Blackwell Approachability and Low-Regret Learning are Equivalent . CoRR (Vol. abs/1011.1936). Abernethy, J., Chen, Y., & Vaughan, J. W. (2010). An Optimization-Based Framework for Automated Market-Making . CoRR (Vol. abs/1011.1941). Abernethy, J., Agarwal, A., Bartlett, P. L., & Rakhlin, A. (2009). A Stochastic View of Optimal Regret through Minimax Duality . CoRR (Vol. abs/0903.5328). Bach, F., Abernethy, J., Vert, J.-P., & Evgeniou, T. (2008). A New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization . CoRR (Vol. abs/0802.1430). Abernethy, J., Bach, F., Evgeniou, T., & Vert, J.-P. (2006). Low-rank matrix factorization with attributes . CoRR (Vol. abs/cs/0611124). Journal Papers Abernethy, J., Anderson, C., Chojnacki, A., Dai, C., Dryden, J., Schwartz, E., others. (2016). Data Science in Service of Performing Arts: Applying Machine Learning to Predicting Audience Preferences. ArXiv Preprint ArXiv:1611.05788 . Abernethy, J., Lee, C., & Tewari, A. (2016). Perturbation techniques in online learning and optimization. Perturbations, Optimization, and Statistics, Neural Information Processing Series . Abernethy, J. D., Frongillo, R. M., & Kutty, S. (2015). On risk measures, market making, and exponential families. ACM SIGecom Exchanges , 13 (2), 2125. Abernethy, J., Chen, Y., & Vaughan, J. W. (2013). Efficient market making via convex optimization, and a connection to online learning. ACM Transactions on Economics and Computation , 1 (2), 12. PDF Abernethy, J. D., Hazan, E., & Rakhlin, A. (2012). Interior-point methods for full-information and bandit online learning. IEEE Transactions on Information Theory , 58 (7), 41644175. PDF Abernethy, J. D. (2011). Sequential Decision Making in Non-stochastic Environments. Abernethy, J., Chapelle, O., & Castillo, C. (2010). Graph regularization methods for web spam detection. Machine Learning Journal , 81 (2), 207225. PDF Abernethy, J., Bach, F., Evgeniou, T., & Vert, J.-P. (2009). A New Approach to Collaborative Filtering: Operator Estimation with Spectral Regularization. The Journal of Machine Learning Research , 10 , 803826. PDF Abstract We present a general approach for collaborative filtering (CF) using spectral regularization to learn linear operators mapping a set of users to a set of possibly desired objects. In particular, several recent low-rank type matrix-completion methods for CF are shown to be special cases of our proposed framework. Unlike existing regularization-based CF, our approach can be used to incorporate additional information such as attributes of the users/objectsa feature currently lacking in existing regularization-based CF approachesusing popular and well-known kernel methods. We provide novel representer theorems that we use to develop new estimation methods. We then provide learning algorithms based on low-rank decompositions and test them on a standard CF data set. The experiments indicate the advantages of generalizing the existing regularization-based CF methods to incorporate related information about users and objects. Finally, we show that certain multi-task learning methods can be also seen as special cases of our proposed approach. Abernethy, J., Evgeniou, T., Toubia, O., & Vert, J.-P. (2008). Eliciting consumer preferences using robust adaptive choice questionnaires. IEEE Transactions on Knowledge and Data Engineering , 20 (2), 145155. PDF Open Problems Abernethy, J., & Mannor, S. (2011). Does an Efficient Calibrated Forecasting Strategy Exist? (COLT) Conference on Learning Theory . PDF Abernethy, J. (2010). Can We Learn to Gamble Efficiently? (COLT) Conference on Learning Theory . PDF Abernethy, J., & Rakhlin, A. (2009). An Efficient Bandit Algorithm for root-T-Regret in Online Multiclass Prediction? (COLT) Conference on Learning Theory . PDF Abernethy, J., & Warmuth, M. K. (2009). Minimax Games with Bandits. (COLT) Conference on Learning Theory . PDF Talks Google Zurich Building Algorithms by Playing Games Herman Chernoff Symposium Deviation Inequalities in Machine Learning Two Sigma - New York, NY Online Learning, Regret, and Finance Google Learning, Optimization, and the Benefits of Noise EC 2016 Price Discovery in Subgradient Combinatorial Auctions Big Data Summer Institute 2016 Symposium Data Science and the Flint Water Crisis ICML 2016 Faster Convex Optimization: Simulated Annealing with an Efficient Universal Barrier Princeton Theory Lunch 2012 Minimax Option Pricing Meets Black-Scholes in the Limit ICML 2012 Tutorial Prediction, Belief, and Markets NIPS 2011 A Collaborative Mechanism for Crowdsourcing Prediction Problems COLT 2011 Blackwell Approachability and No-Regret Learning are Equivalent Google TechTalk 2007 WITCH: A New Approach to Web Spam Detection Fun Facts In a previous life, I used to do comedy juggling shows . I managed to win Funniest Student at UMass while studying there, and later got the chance to open for the comedian Sinbad and later Dave Chappelle . The Daily Hampshire Gazette ran a flattering article about my show right before the Sinbad appearance. I used to help manage MEET: Middle East Education through Technology , an educational initiative aimed at bringing together Israeli and Palestinian youth. This project has brought me to Jerusalem three times. I love playing Racquetball . I have a cool ass sister who built this website for me I rode a bicycle from Boston to San Francisco during the summer of 2002 with two friends, Keith Vanderlinde and Damien Burke. My mom, an expert on Anthrax and Anthrax Vaccine, has a very popular informational Anthrax Vaccine Web site and blog . Courses I have taught Number Year Name EECS 598 Fall 2015 Theoretical Foundations of Machine Learning VIEW EECS 598 Fall 2013 Prediction and Learning: It's Only a Game VIEW Google Scholar GitHub Resume diff --git a/src/data/compiled_bios/4486.txt b/src/data/compiled_bios/4486.txt new file mode 100644 index 0000000000..432a6da90d --- /dev/null +++ b/src/data/compiled_bios/4486.txt @@ -0,0 +1 @@ + Skip to content Georgia Institute of Technology Institute for Information Security & Privacy | Georgia Tech Menu Close Home About About Cyber at GT Quick Facts Awards & Distinctions About the IISP Message from Co-Directors Mission, Vision & Goals Research All Projects Attribution Active DNS Project Gnomon Project Rhamnousia Project Policy Cross-Border Data Project Internet Governance Project Trust Intel ARSA Center Cyber-Physical Systems Risk Management Facilities & Labs Our Labs Available Tools Education M.S. Cybersecurity Online M.S. Cybersecurity M.S. Computer Science Online M.S. Computer Science Ph.D. Computer Science Ph.D. Elec. & Computer Eng. Ph.D. Fellowship Professional Education Upcoming Courses CyberCorps Scholarship RSA Security Scholars People Faculty Directory Co-Exec. Director Wenke Lee Co-Exec. Director Michael Farrell Associate Research Directors Mustaque Ahamad Manos Antonakakis Sudheer Chava Margaret Loper Sakis Meliopoulos Peter Swire Ph.D. Fellows Staff Events All Events Annual Summit Cybersecurity Lecture Series Demo Day Distinguished Lecture News Center Latest News Cybersecurity Blog Source Port Newsletter Threats Reports News Releases News Archive For Faculty Contact Us Georgia Tech Home Campus Map Directory Offices Twitter Search Search form Enter your keywords You are here: GT Home Home People Associate Research Directors Mustaque Ahamad Mustaque Ahamad, Ph.D., is an associate director of the Institute for Information Security & Privacy (IISP) for the area of education and outreach, and professor in the School of Computer Science at Georgia Tech. Within the IISP, he seeks to proactively address challenges associated with workforce development in cybersecurity. With oversight of formal degree programs and continuing education for working professionals, he is an advocate for greater cybersecurity education and training in order to meet the collective needs of industry and government. Ahamad's research interests are in the areas of converged communications security and security of healthcare systems. As smart-phone-like devices enable ubiquitous access to web and voice channels, the convergence of telephony with the Internet gives rise to new cross-channel threats that can combine online and voice attacks. For example, voice phishing with caller-ID spoofing has been reported for stealing online banking credentials. His data-driven research approach for exploring cross-channel threats has resulted in a better understanding of these threats and more effective ways to combat them. In the healthcare security area, he has worked on monitoring for detection of abuse and fraud. Ahamad co-founded Pindrop Security, which commercialized his group's research in the telephony security area, and he continues to serve as its chief scientist. He also serves as co-chair of the Messaging Malware Mobile Anti-Abuse Working Group (M3AAWG) special interest group on voice and telephony abuse. He also served as an external advisor for the Federal Trade Commission for telephony abuse. For nearly 20 years, he has been a leading figure in information security as an associate of the IISP's predecessor -- the Georgia Tech Information Security Center -- since 1998 and including serving as its director from 2004 to 2012. He earned his Master's and Doctoral degrees in Computer Science from the State University of New York, Stony Brook , and a B.E. (Hons.) degree in Electrical and Electronics Engineering from the Birla Institute of Technology and Science , Pilani, India. Patents Patent Number 9,037,113 B2 , May 29, 2015, "Systems and methods for detecting call provenance from call audio" Research Highlights Phoneypot: Data-driven Understanding of Telephony Threats , Payas Gupta, Bharat Srinivasan, Vijay Balasubramaniyan, Mustaque Ahamad; (2015) Combating Abuse of Health Data in the Age of eHealth Exchange , Musheer Ahmed, Mustaque Ahamad; IEEE International Conference on Healthcare Informatics - ICHI; (2014) Augmenting security and accountability within the eHealth Exchange , M Ahmed, M Ahamad, T Jaiswal; IBM Journal of Research and Development; (2014) ExecScent: Mining for New C&C Domains in Live Networks with Adaptive Control Protocol Templates, T Nelms, R Perdisci, M Ahamad; USENIX Security; (2013) Redactable and auditable data access for bioinformatics research , J Brown, M Ahamad, M Ahmed, DM Blough, T Kurc, A Post, J Saltz; AMIA Summits on Translational Science Proceedings; (2013) Enabling robust information accountability in e-healthcare systems , D Mashima, M Ahamad; 3rd USENIX Workshop on Health Security and Privacy; (2012) One-time cookies: Preventing session hijacking attacks with stateless authentication tokens , I Dacosta, S Chakradeo, M Ahamad, P Traynor; ACM Transactions on Internet Technology; (2012) Protecting health information on mobile devices , M Ahmed, M Ahamad; Proceedings of the second ACM conference on Data and Application Security and Privacy; (2012) Enhancing accountability of electronic health record usage via patient-centric monitoring , D Mashima, M Ahamad; Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium; (2012) Trust no one else: Detecting MITM attacks against SSL/TLS without third-parties , I Dacosta, M Ahamad, P Traynor; Computer SecurityESORICS; (2012) User-centric Identity Management Architecture Using Credential-holding Identity Agents , D Mashima, D Bauer, M Ahamad, D Blough; Digital Identity and Access Management: Technologies and Frameworks, IGI Global; (2011) 2011 Index IEEE Transactions on Parallel and Distributed Systems Vol. 22 ; TS Abdelrahman, T Abdelzaher, D Abramson, M Ahamad, ...; IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS; (2011) Improving authentication performance of distributed SIP proxies, I Dacosta, V Balasubramaniyan, M Ahamad, P Traynor; IEEE Transactions ON Parallel and Distributed Systems; (2011) CT-T: MedVault-ensuring security and privacy for electronic medical records , DM Blough, L Liu, F Sainfort, M Ahamad; Georgia Institute of Technology; (2011) One-time cookies: Preventing session hijacking attacks with disposable credentials ; I Dacosta, S Chakradeo, M Ahamad, P Traynor; Georgia Institute of Technology; (2011) Mustaque Ahamad Associate Director - Education & Outreach, Institute for Information Security & Privacy Professor, College of Computing Contact 404.894.2593 Contact Website Georgia Tech Resources Offices & Departments News Center Campus Calendar Special Events GreenBuzz Institute Communications Visitor Resources Campus Visits Directions to Campus Visitor Parking Information GTvisitor Wireless Network Information Georgia Tech Global Learning Center Georgia Tech Hotel & Conference Center Barnes & Noble at Georgia Tech Ferst Center for the Arts Robert C. Williams Paper Museum Cybersecurity Research Areas Attribution Consumer-facing Privacy Cyber Physical Systems Privacy Policy Risk Trust Other Research Areas at Georgia Tech Cybersecurity Labs & Centers Astrolavos Lab CDAIT CIPHER Lab Communications Assurance & Performance Lab Converged Systems Security Lab CyFi Lab Financial Services Innovation Lab Georgia Tech Cyber Security Information & Communications Laboratory Intel ISTC-ARSA Center Polo Club of Data Science Systems Software & Security Laboratory Cybersecurity Education M.S. Cybersecurity M.S. Computer Science Online M.S. C.S. Ph.D. Computer Science Ph.D. Electrical & Computer Engineering Ph.D. Fellowship CyberCorps Scholarship for Service Professional Education Institute for Information Security & Privacy Klaus Advanced Computing Building 266 Ferst Drive, Atlanta, GA 30332 (404) 385-3800 Contact Us Use of Corporate Logos Site Feedback Emergency Information Legal & Privacy Information Accessibility Accountability Accreditation Employment Georgia Institute of Technology diff --git a/src/data/compiled_bios/4487.txt b/src/data/compiled_bios/4487.txt new file mode 100644 index 0000000000..12417afdac --- /dev/null +++ b/src/data/compiled_bios/4487.txt @@ -0,0 +1 @@ + Home Publications Students Research Contact Pics & Vids Biography Mostafa Ammar is a Regents' Professor with the School of Computer Science at the Georgia Institute of Technology. He served as Associate Chair of the School of Computer Science from 2006 to 2012. Dr. Ammar received the S.B. and S.M. degrees from the Massachusetts Institute of Technology and the Ph.D. degree from the University of Waterloo, Ontario, Canada. Dr. Ammar's research interests are in network architectures, protocols and services. He has contributions in the areas of multicast communication and services, multimedia streaming, content distribution networks, network simulation, disruption-tolerant networks, and most recently, in mobile cloud computing and network virtualization. He has published extensively in these areas. Over the years he has received funding for his research from federal and defense agencies and national and local industries including NSF, DARPA, AFOSR, ARL, CISCO, IBM, Intel, BellSouth and Sprint. To date, 36 PhD students have completed their degrees under his supervision; many have gone on to distinguished careers in academia and industry. He is the co-author of the textbook "Fundamentals of Telecommunication Networks" published by Wiley-Interscience in 1994. Dr. Ammar has served the networking research community in multiple roles. Most notably, he served as the Editor-in-Chief of the IEEE/ACM Transactions on Networking (ToN) from 1999 to 2003, and he was the co-TPC Chair for the IEEE ICNP 1997, ACM CoNEXT 2006 and ACM SIGMETRICS 2007 conferences. He currently serves on the steering committee of the IEEE Transactions on Mobile Computing. His awards include the IBM Faculty Partnership Award (1996), Best Paper Award at the 7th WWW conference (1998), the GT Outstanding Doctoral Thesis Advisor Award (2006) and the Outstanding Service Award from the IEEE Technical Committee on Computer Communications (2010), the ACM Mobihoc Best Paper Award (2012), College of Computing Faculty Mentor Award (2015), College of Computing Dean's Award (2018), Best Paper Award at IFIP Network Traffic Measurement and Analysis Conference (2018), and the GT Course Survey Teaching Effectiveness Award (2013, 2014, 2015, 2016, and 2017). Dr. Ammar was elected Fellow of the IEEE in 2002 and Fellow of the ACM in 2003. Full CV (January 2018) My position paper on Internet Fragmentation in ACM SIGCOMM CCR, January 2018 See my lecture mostly based on this paper at KTH in Stockholm (June 2018) Video HERE . See other versions of this talk at the "PICS and VIDS" tab. diff --git a/src/data/compiled_bios/4488.txt b/src/data/compiled_bios/4488.txt new file mode 100644 index 0000000000..0e8d0774c8 --- /dev/null +++ b/src/data/compiled_bios/4488.txt @@ -0,0 +1 @@ + Toggle navigation Home Research Publications Talks Code Joy Arulraj Assistant Professor Georgia Institute of Technology College of Computing School of Computer Science arulraj@gatech.edu Klaus Advanced Computing Building 3324 266 Ferst Dr NW, Atlanta, GA 30332-0765 CV | Google Scholar | DBLP | Twitter | Github Research Interests Data Analytics, Main Memory Systems, and Machine Learning. I am looking for a few graduate students. If you know how to build systems/tools, we should talk. I recommend filling out this research interest questionnaire . Georgia Tech undergraduate and master students: the above applies to you, too. Teaching Fall 2018: Data Analytics using Deep Learning (CS 8803) Spring 2019: Database System Implementation (CS 4420) Back to top diff --git a/src/data/compiled_bios/4489.txt b/src/data/compiled_bios/4489.txt new file mode 100644 index 0000000000..698de431a6 --- /dev/null +++ b/src/data/compiled_bios/4489.txt @@ -0,0 +1 @@ + I am an Associate Professor in the School of Computer Science of the College of Computing at Georgia Tech. I am doing research in the areas of cryptography and information security. I am affiliated with Georgia Tech Institute for Information Security & Privacy (IISP) and Algorithms, Combinatorics and Optimization program (ACO) . I got my Ph.D. in Computer Science from the University of California at San Diego and B.S. and M.S. in Applied Mathematics from the St. Petersburg State Technical University, Russia. I am an Associate Chair for Graduate Education. Handbook for SCS PhD students I am a co-Editor of Cryptology ePrint archive . I am an Associate Editor of IEEE Transactions on Information Forensics and Security. I am a co-Chair of CRYPTO 2018 and Crypto 2019. Current Ph.D. students: Shan Chen Tianxin Tang Jiahui Lu Current visitor: Yuxi Li Former Ph.D. students : David Cash Adam O'Neill Virendra Kumar Nathan Chenette Yi Ding Robert Lychev Former Postdocs: Dae Hyun Yum Younho Lee Contact info: Email: Office: Klaus (KACB) 3144 Phone (404) 385-6753 fax: (404) 894-1115 Mailing address: Klauss Avanced Computing Georgia Institute of Technology 266 Ferst dr. Atlanta, GA 30332-0765 USA diff --git a/src/data/compiled_bios/449.txt b/src/data/compiled_bios/449.txt new file mode 100644 index 0000000000..245d98c7a0 --- /dev/null +++ b/src/data/compiled_bios/449.txt @@ -0,0 +1 @@ +Professor Jagath Rajapakse Jagath C Rajapakse , PhD, FIEEE Professor of Computer Engineering School of Computer Science and Engineering Nanyang Technological University N4-2a06, 50 Nanyang Avenue Singapore 639798 Email: asjagath [at]ntu.edu.sg Tel: +65 67905802; Fax: +65 67926559 Jagath Rajapakse is Professor of Computer Engineering at the Nanyang Technological University, Singapore. He obtained his Ph.D. degree in electrical and computer engineering from the University of Buffalo, USA. He had been a Visiting Professor to Massachusetts Institute of Technology (MIT), USA, and Visiting Scientist to Max-Planck Institute of Cognitive and Brain Sciences, Germany, and to National Institute of Health, USA. Professor Rajapakses research works are in the areas of brain imaging, computational systems biology, and machine learning. He has published over 300 peer-reviewed research articles in high-impact journals and conferences. His research publications have received over 10,000 citations. He served as Associate Editor for IEEE Transactions on Medical Imaging , IEEE Transactions on Neural Networks and Learning Systems , and IEEE Transactions on Computational Biology and Bioinformatics . He is a Fellow of IEEE. Professor Rajapakses current research interests are in deep learning. His on-going investigations include deep learning on small datasets and to learn biological networks, represent hierarchical processing of brain activation, and detect sentiments from speech signals. TEACHING CZ4042: Neural networks and deep learning CE7412: Computational and systems biology ONGOING RESEARCH PROJECTS 1. Applications of deep learning techniques to detect anomalies and emotions from video and audio 2. Understanding functional and structural networks of the brain through imaging and their associations in brain disease 3. Investigations of functions of molecular sub-networks inferred from multi-omics data and their implications in diseases such as cancer RECENT PUBLICATIONS 1. X. Sui and J. C. Rajapakse, Profiling heterogeneity of Alzheimers disease using white matter impairment factors, Neuroimage: Clinical , 20, 2018 ( pdf ) 2. W. Liu, J. Liu, and J. C. Rajapakse, Gene ontology enrichment improves performances of functional similarity of genes, Scientific Reports , 8: 12100, 2018 ( pdf ) 3. D. N. Wadduwage , J. Kay, V. R. Singh, O. Kiraly , M. R. Sukup -Jackson, J. C. Rajapakse, B. P. Engelward , and P. T. C. So, Automated fluorescence intensity and gradient analysis enables detection of rare fluorescent mutant cells deep within the tissue of RaDR mice, Scientific Reports , 8:12108, 2018 4. L.-C. Tranchevent , P. V. Nazarov , T. Kaoma, G. P. Schmartz , A. Muller, S.-Y. Kim, J. C. Rajapakse, and F. Azuaje , Predicting clinical outcome of neuroblastoma patients using an integrative network-based approach, Biology Direct , 13:12, 2018 ( pdf ) 5. H. Liany , J. C. Rajapakse, R, K. M. Karuturi , MultiDCoX : Multifactor analysis of differential co-expression, BMC Bioinformatics , Vol 18, 576, Sept 2017 ( pdf ) 6. A. Kumar, F. Lin, and J. C. Rajapakse, Mixed spectrum analysis on fMRI time series, IEEE Transactions on Medical Imaging , vol. 35, no. 6, pp. 1555-1564, June 2016 ( pdf ) 7. P. A. Mundra and J. C. Rajapakse, Gene and sample selection with T-score with sample selection, Journal of Biomedical Informatics , 59, pp. 31-41, 2016 ( pdf ) List of Publications RESEARCH GRANTS 1. Predicting customer emotions from speech: Singtel-NTU Cognitive and Artificial Intelligence Joint Lab grant, 01/06/2018 30/05/2020, $390,593 2. Study of Alzheimers disease heterogeneity and progression using latent grey-matter atrophy and white-matter impairment factors: AcRF Tier-1 Grant, Ministry of Education (MOE), Singapore, 01/03/2018 31/08/2019, $99,912 3. Personalized interventions during e-lecture: EdeX Grant, NTU, 08/05/2017 08/09/2018, $40,000 4. Predicting missing and spurious links and labels of protein-interaction networks: AcRF Tier-2 Grant 2016-T2-1-029, Ministry of Education (MOE), Singapore, 09/01/2017 08/01/2020, $ 579,536.00 RESEARCH TEAM Dr. Rama Kaalia , Research Fellow Dr. Chamara Kasun, Research Fellow Dr. Satya Singh, Research Fellow Mr. Zhong Xioshi , Research Associate and Ph.D. student Mr. Sukrit Gupta, Ph.D. student Mr. Anh Chung Soo, Research Engineer Available research positions PHD STUDENT AND VISITING RESEARCH POSITIONS For PhD and visiting scientist positions, kindly email your interests and CV to Prof Jagath Rajapakse ( asjagath@ntu.edu.sg ). ------ Last updated on 23/08/2018 diff --git a/src/data/compiled_bios/4490.txt b/src/data/compiled_bios/4490.txt new file mode 100644 index 0000000000..cbdd598e31 --- /dev/null +++ b/src/data/compiled_bios/4490.txt @@ -0,0 +1 @@ + Xu Chu Office: Klaus 3322 Address: School of Computer Science Georgia Institute of Technology 266 Ferst Drive, Atlanta, GA 30332-0765 Email: xu.chu@cc.gatech.edu I am an assistant professor in the School of Computer Science at the Georgia Institute of Technology. I completed my PhD program in the Data Systems Lab at the University of Waterloo in 2017, and I obtained my bachelor's degree in Computer Science from Nanjing University in 2011. I lead the Chu Data Lab , where we work on practical and challenging problems in data management and machine learning. I am looking for motivated graduate students. If you are interested in doing research at the intersection of data management and machine learning, feel free to send me an email. News 02/01/19: We are excited to learn that we are granted the 2019 JP Morgan Faculty Research Awards! 01/30/19: We are launching the Chu Data Lab website! 07/31/18 - 08/02/18: Attending the Microsoft Research Faculty Summit 2018 07/23/18: Giving an invited lecture at the Data Science Workshop for IDEaS 05/17/18: Our paper on Transformation Data by Example is accepted by PVLDB 02/14/18: Finishing an invited book chapter "Data Cleaning" for the Encyclopedia of Big Data Technologies 01/01/18: Excited to join SCS at GaTech! Teaching CS 4400-X: Introduction to Database (Spring 2019) CS 8803: Data Management and ML (Fall 2018) Publications [DBLP] [Google Scholar] Transform-Data-by-Example (TDE): An Extensible Search Engine for Data Transforma tion (Full Paper) New! Yeye He, Xu Chu , Kris Ganjam, Yudian Zheng, Vivek Narasayya, Surajit Chaudhuri In the 43rd Interntaional Confernce on Very Large Databases, VLDB 2018 , Brazil Data Cleaning (Book Chapter) New! Xu Chu In Encyclopedia of Big Data Technologies Transform-Data-by-Example (TDE): Extensible Data Transformation in Excel (Demo) New! Yeye He, Kris Ganjam, Yue Wang, Vivek Narasayya, Surajit Chaudhuri, Xu Chu , Yudian Zheng In Proceedings of the 2018 ACM SIGMOD Conference on Management of Data, Houston, USA HoloClean: Holistic Data Repairs with Probabilistic Inference (Full Paper) Theodoros Rekatsinas, Xu Chu , Ihab F. Ilyas, Christopher R In the 43rd Interntaional Confernce on Very Large Databases, VLDB 2017 , Munich, Germany Detecting Data Errors: Where are we and what needs to be done? (Full Paper). Ziawasch Abedjan, Xu Chu , Dong Deng, Raul Castro Fernandez, Ihab F. Ilyas, Mourad Ouzzani, Paolo Papotti, Michael Stonebraker, and Nan Tang In the 42nd Interntaional Confernce on Very Large Databases, VLDB 2016 , New Delhi, India Distributed Data Deduplication (Full Paper) Xu Chu , Ihab F. Ilyas, Paraschos Koutris In the 42nd Interntaional Confernce on Very Large Databases, VLDB 2016 , New Delhi, India Qualitative Data Cleaning (Tutorial) (Slides) Xu Chu , Ihab F. Ilyas In the 42nd Interntaional Confernce on Very Large Databases, VLDB 2016 , New Delhi, India Data Cleaning: Overview and Emerging Challenges (Tutorial). (Slides) Xu Chu , Ihab F. Ilyas, Sanjay Krishnan, Jiannan Wang In Proceedings of the 2016 ACM SIGMOD Conference on Management of Data, San Francisco, USA CLAMS: Bringing Quality to Data Lakes. Mina Farid, Alexandra Roatis, Ihab F. Ilyas, Hella-Franziska Hoffmann, Xu Chu In Proceedings of the 2016 ACM SIGMOD Conference on Management of Data, San Francisco, USA Trends in Cleaning Relational Data: Consistency and Deduplication (Book) Ihab F. Ilyas, Xu Chu In Foundations and Trends in Databases , Volume 5, Issue 4, 2015 SEMA-JOIN : Joining Semantically-Related Tables Using Big Table Corpora (Full Paper) Yeye He, Kris Ganjam, Xu Chu In the 41st Interntaional Confernce on Very Large Databases, VLDB 2015 , Kohala Coast, Hawaii, USA KATARA: A Data Cleaning System Powered by Knowledge Bases and Crowdsourcing (Full Paper) Xu Chu , John Morcos, Ihab F. Ilyas, Mourad Ouzzani, Paolo Papotti, Nan Tang, Yin Ye In Proceedings of the 2015 ACM SIGMOD Conference on Management of Data, Melbourne, Australia TEGRA: Table Extraction by Global Record Alignment (Full Paper) Xu Chu , Yeye He, Kaushik Chakrabarti, Kris Ganjam. In Proceedings of the 2015 ACM SIGMOD Conference on Management of Data, Melbourne, Australia KATARA: Reliable Data Cleaning with Knowledge Bases and Crowdsourcing (Demo) Xu Chu , John Morcos, Ihab F. Ilyas, Mourad Ouzzani, Paolo Papotti, Nan Tang, Yin Ye In the 41st Interntaional Confernce on Very Large Databases, VLDB 2015 , Kohala Coast, Hawaii, USA Discovering Denial Constraints (Full Paper) Xu Chu , Ihab F. Ilyas, Paolo Papotti. In the 40th Interntaional Confernce on Very Large Databases, VLDB 2014 , Hangzhou, China RuleMiner: Data Quality Rules Discovery (Demo) Xu Chu , Ihab F. Ilyas, Paolo Papotti, Yin Ye. In Proceedings of the IEEE International Conference on Data Engineering, ICDE 2014 , Chicago, USA Holistic Data Cleaning: Putting Violations into Context (Full Paper) Xu Chu , Ihab F. Ilyas, Paolo Papotti. In Proceedings of the IEEE International Conference on Data Engineering, ICDE 2013 , Brisbane, Australia Professional Experiences Research Intern, DMX Group Microsoft Research, Redmond, USA (May 2014 - Jul. 2014, May 2015 - Aug. 2015) Research Intern, Data Analytics Group Qatar Computing Research Institute, Doha, Qatar (Sep. 2012 - Apr. 2013, Jan. 2012 - Apr. 2012) Services Conference PC Member : SIGMOD 2019, VLDB 2019, IDEA 2018 in SIGKDD, CIKM 2017, PhD Symposium in WWW 2016 Journal Reviewer : TKDE, TODS, VLDBJ, JDIQ, IS, KAIS, IJCIS Awards and Scholarships Microsoft Research PhD Fellowship, Microsoft, 2015-2017 Facebook PhD Fellowship Finalists, Facebook, 2015 SIGMOD Travel Award, 2015, 2016 David R. Cheriton Scholarship, University of Waterloo, 2013-2015 Graduate Excellence Scholarship, University of Waterloo, 2013 Graduate Entrance Scholarship, University of Waterloo, 2011 diff --git a/src/data/compiled_bios/4491.txt b/src/data/compiled_bios/4491.txt new file mode 100644 index 0000000000..e48b556bda --- /dev/null +++ b/src/data/compiled_bios/4491.txt @@ -0,0 +1 @@ + Tom Conte Professor of Computer Science , College of Computing , Georgia Institute of Technology Research group: TINKER Research interests Work homepage (@Georgia Tech) Publications (from TINKER web page) Computer Architecture @ Georgia Tech Consulting Activities How to contact me... Biography Hobbies/other interests Note: This site is not part of nor sanctioned by Georgia Institute of Technology. It is my private site, hosted on non-Institute equipment and paid for out of my private funds. Views expressed here are my own, not those of the Institute. No aspect of this site relates to my duties at the Institute. diff --git a/src/data/compiled_bios/4492.txt b/src/data/compiled_bios/4492.txt new file mode 100644 index 0000000000..36432bd61c --- /dev/null +++ b/src/data/compiled_bios/4492.txt @@ -0,0 +1 @@ + About News Publications Contact Alexandros Daglis Assistant Professor Georgia Tech ABOUT I am an Assistant Professor of Computer Science at Georgia Tech . My research focuses on rack-scale computing and network-compute integration, targeting the most challenging communication-intensive services with tight latency targets in datacenter environments. Blurring the boundaries between network and compute, and pushing functionality with richer semantics to the network endpoints paves the way for high-performance, efficient and scalable microsecond-scale services. I am also broadly interested in the ongoing transition from CPU-centric to network- and memory-centric computing and the impact of this paradigm shift in the evolution of system architectures, algorithms, and software. Before joining Georgia Tech, I obtained my PhD at EPFL under the supervision of Babak Falsafi and Edouard Bugnion . I was the architect of Scale-Out NUMA , a rack-scale architecture, programming model and communication protocol designed to deliver low-latency and high-bandwidth access to remote memory, enabling memory pooling in scale-out deployments. My thesis entitled Network-Compute Co-Design for Distributed In-Memory Computing was awarded an EPFL thesis distinction and has been nominated for an ACM Doctoral Dissertation Award by EPFL's Department of Computer and Communication Sciences. DOWNLOAD CV NEWS Our paper, RPCValet: NI-Driven Tail-Aware Balancing of s-scale RPCs , will appear at ASPLOS 2019. My PhD thesis was awarded an EPFL thesis distinction. My PhD thesis was nominated for an ACM Doctoral Dissertation Award. MAIN PUBLICATIONS (full list available here ) RPCValet: NI-Driven Tail-Aware Balancing of s-scale RPCs (to appear) A. Daglis, M. Sutherland, B. Falsafi In Proceedings of the 24th International Conference on Architectural Support for Programming Languages and Operating Systems ASPLOS 2019 Network-Compute Co-Design for Distributed In-Memory Computing A. Daglis EPFL PhD Thesis, 2018 PhD Thesis Design Guidelines for High-Performance SCM Hierarchies D. Ustiugov, A. Daglis, J. Picorel, M. Sutherland, E. Bugnion, B. Falsafi, D. Pnevmatikatos In Proceedings of the 4th Annual International Symposium on Memory Systems MEMSYS 2018 The Mondrian Data Engine M. Drumond, A. Daglis, N. Mirzadeh, D. Ustiugov, J. Picorel, B. Falsafi, B. Grot, D. Pnevmatikatos In Proceedings of the 44th International Symposium on Computer Architecture ISCA 2017 The Case for RackOut: Scalable Data Serving Using Rack-Scale Systems S. Novakovic, A. Daglis, E. Bugnion, B. Falsafi, B. Grot In Proceedings of the ACM Symposium in Cloud Computing SoCC 2016 SABRes: Atomic Object Reads for In-Memory Rack-Scale Computing A. Daglis, D. Ustiugov, S. Novakovic, E. Bugnion, B. Falsafi, B. Grot In Proceedings of the 49th International Symposium on Microarchitecture MICRO 2016 An Analysis of Load Imbalance in Scale-out Data Serving S. Novakovic, A. Daglis, E. Bugnion, B. Falsafi, B. Grot In ACM SIGMETRICS (Extended abstract) SIGMETRICS 2016 Manycore Network Interfaces for In-Memory Rack-Scale Computing A. Daglis, S. Novakovic, E. Bugnion, B. Falsafi, B. Grot In Proceedings of the 42nd International Symposium on Computer Architecture ISCA 2015 Scale-Out NUMA S. Novakovic, A. Daglis, E. Bugnion, B. Falsafi, B. Grot In Proceedings of the 19th International Conference on Architectural Support for Programming Languages and Operating Systems ASPLOS 2014 CONTACT Email alexandros.@cc.gatech.edu Address School of Computer Science, College of Computing Georgia Institute of Technology KACB 2322 266 Ferst Dr Atlanta, GA 30332-0280 Phone 404-385-2938 SOCIAL LINKS Shared by BootstrapThemes diff --git a/src/data/compiled_bios/4493.txt b/src/data/compiled_bios/4493.txt new file mode 100644 index 0000000000..c0011889c6 --- /dev/null +++ b/src/data/compiled_bios/4493.txt @@ -0,0 +1 @@ + Skip to main content Header Links Georgia Tech Home Campus Map Directory Offices Twitter Search Main Menu Home About What is C21U? 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As higher education rapidly evolves, Georgia Tech is committed to leading the initiatives that will define the next generation of educational practices and technologies. Working in tandem with campus administrators and faculty, the center develops and tests new educational platforms and techniques. Today, traditional colleges and universities face escalating operational challenges, including reduced funding, changing student demographics, questions regarding quality and value, and increased competition. Their successor more bleakly, their survivalrequires transformative change to enable new teaching and learning approaches. By testing educational techniques in actual classrooms, C21U develops proven technology-driven solutions that result in optimal student outcomes through creative institutional change. 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This book offers a guide to the theory and practice of blended learning, offering rigorous research, case studies, and methods for the assessment of educational effectiveness. Read More Georgia Tech Resources Offices & Departments News Center Campus Calendar Special Events GreenBuzz Institute Communications Visitor Resources Campus Visits Visitor Parking Information Georgia Tech Global Learning Center Barnes & Noble at Georgia Tech Robert C. 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Her interests include conducting experimental systems research, focusing on operating systems, virtualization, and systems software for heterogeneous many-core platforms, emerging non-volatile memories, large scale datacenter and cloud systems, high-performance communication technologies and support for novel end-user devices and services. Her research is supported by the National Science Foundation, the US Department of Energy, and industry grants, including from Cisco, HP, IBM, Intel, Intercontinental Exchange, LexisNexis, VMware, and others. She has published numerous book chapters, journal and conference publications, and edited a book High Performance Communications: A Vertical Approach (CRC Press, 2009). In addition to research, she also teaches courses on operating systems and high performance communications. She has a BS degree in Computer Engineering from University Sts. Cyril and Methodius in Macedonia ('98), and a MS ('99) and PhD ('04) degrees in Computer Science from Georgia Tech. Attaining High Performance Communications: A Vertical Approach , editor, Ada Gavrilovska, Sep. 2009 Affiliations: School of Computer Science, College of Computing, Georgia Tech Center for Experimental Research in Computer Systems - CERCS Intel Science and Technology Center for Cloud Computing - ISTC-CC Intel Science and Technology Center in Embedded Computing - ISTC-EC Events: HotCloud'15 , July, 2015 11th ACM SIGPLAN/SIGOPS International Conference Virtual Execution Environment (VEE'15) , colocated with ASPLOS'15, Istanbul, Turkey, Mar. 2015 (General Chair) Supercomputing'14 (SC14) , New Orleans, LA, Nov. 2014 (Co-Chair, Systems Software track) IEEE/ACM Int'l Symposium on Cluster, Cloud and Grid Computing , Chicago, IL, May 2014 (PC member) Eighteenth International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS 2014) , Salt Lake City, UT, Mar. 2014 (PC member) Supercomputing'13 (SC13) , Denver, CO, Nov. 2013 (PC memeber, Systems Software track) IEEE Hot Interconnects , San Jose, CA, Aug. 2013 (Organizing Committee) 9th International Conference on Virtual Execution Environments (VEE) , Houston, TX, Mar. 2013 (PC member) Eighteenth International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS 2013) , Houston, TX, Mar. 2013 (PC member) Past Events Research & Students: More information on ongoing research projects can be found on the webpages of the PhD students I currently work with: Harshit Daga Thaleia-Dimitra Doudali Pradeep Fernando Ke-Jou Carol Hsu Ranjan Sarpangala Venkatesh Hobin Yoon Past PhD Students: Alex Merritt , PhD Thesis: "Efficient Programming of Massive-Memory Machines", 2017, Intel Ketan Bhardwaj , PhD Thesis: "Frame, Rods and Beads of the Edge Computing Abacus", 2016, Georgia Tech Sudarsun Kannan , PhD Thesis: "OS Support for Heterogeneous Memory Management", 2016, Wisconsin-Madison Adit Ranadive , PhD Thesis: "Virtualized Resource Management in High Performance Fabric Clusters", 2015, VMware Mukil Kesavan , PhD Thesis: "Scalable and Robust Compute Capacity Multiplexing in Virtualized Datacenters", 2014, IBM T.J.Watson Priyanka Tembey , PhD Thesis: "Virtual Platforms: Achieving Performance and Isolation Properties in Shared Multicore Servers", 2013, VMware Teaching: Current (Spring'18): CS4210/CS6210 Advanced Operating Systems CS6200 Graduate Intro to Operating Systems -- in CS Online MS program Past: CS8803-ECI Edge Computing and IoT : Fall'17 CS6210 Advanced Operating Systems : Spring'17, Fall'14, Spring 2011, Fall 2010 (@Korea University), Fall 2008 , Fall 2007 CS6200 Graduate Introduction to Operating Systems : Spring'15 - present (in OMS program), Fall 2012, Fall 2011, Fall 2009 , Spring 2009 , Fall 2008 (used to be CS8803-GOS) CS4210 Advanced Operating Systems : Spring 2009 , Fall 2008 , Spring 2008 , Fall 2006 , Summer 2006 , Spring 2006 , Summer 2005 , Summer 2004 CS4803/8803HPC High Performance Communication : Spring 2008 , Fall 2006 , Spring 2005 CS8803 High Performance Communication -- Korea Embedded Computing MS Program : Summer 2007 (@Korea University) CS3300 Introduction to Software Engineering : Fall 2005 CS4240 Compilers and Interpreters : Fall 2004 Select publications: Mutant: Balancing Storage Cost and Latency in LSM-Tree Data Stores , Hobin Yoon, Juncheng Yang, Sveinn Fannar Kristjansson, Steinn E. Sigurdarson, Ymir Vigfusson, Ada Gavrilovska, ACM Symposium on Cloud Computing (SOCC'18) , Carlsbad, CA, Oct. 2018 Redesigning LSMs for Nonvolatile Memory with NoveLSM , Sudarsun Kannan, Nitish Bhat, Ada Gavrilovska, Andrea Arpaci-Dusseau, Remzi Arpaci-Dusseau, USENIX Annual Technical Conference (USENIX ATC'18) , Boston, MA, Jul. 2018 Towards IoT-DDoS Prevention Using Edge Computing , Ketan Bhardwaj, Joaquin Chung Miranda, Ada Gavrilovska, USENIX Workshop on Hot Topics in Edge Computing (HotEdge'18) , Boston, MA, Jul. 2018 NVStream: Accelerating HPC Workflows with NVRAM-based Transport for Streaming Objects , Pradeep Fernando, Ada Gavrilovska, Sudarsun Kannan, Greg Eisenhauer, Proc. of the ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC'18) , Temple, AZ, Jun. 2018 Concurrent Log-Structured Memory for Many-Core Key-Value Stores , Alex Merritt, Ada Gavrilovska, Yuan Chen, Dejan Milojicic, Proc. of the VLDB Endowment (PVLDB), vol. 11, no. 4, (VLDB'18) , Rio de Janeiro, Brazil, Aug. 2018 CoMerge: Toward Efficient Data Placement in Shared Heterogeneous Memory Systems , Thaleia Doudali, Ada Gavrilovska, Proc. of ACM MEMSYS'17 , Alexandria, VA, Oct. 2017 HeteroOS - OS Design for Heterogeneous Memory Management in Datacenter , Sudarsun Kannan, Ada Gavrilovska, Vishal Gupta, Karsten Schwan, In the 44th International Symposium on Computer Architecture (ISCA'17) , Toronto, ON, Jun. 2017. Fault-scalable Virtualized Infrastructure Management , Mukil Kesavan, Ada Gavrilovska, Karsten Schwan, 37th International Conference on Distributed Computing Systems (ICDCS'17) , Atlanta, GA, Jun. 2017. Phoenix: Memory Speed HPC I/O with NVM , Pradeep Fernando, Sudarsun Kannan, Ada Gavrilovska, Karsten Schwan, Int'l Conf on High Performance Computing, Data and Analytics (HiPC) , Bangalore, India, Dec. 2016. Fast, Scalable and Secure Onloading of Edge Functions Using AirBox , Ketan Bhardwaj, Ming-Wei Shih, Pragya Agarwal, Ada Gavrilovska, Taesoo Kim, and Karsten Schwan, In Proceedings of the 1st IEEE/ACM Symposium on Edge Computing (SEC'16) , Washington, DC, Oct. 2016. Energy Aware Persistence: Reducing Energy Overheads of Memory-based Persistence in NVMs , Sudarsun Kannan, Moinuddin Qureshi, Ada Gavrilovska and Karsten Schwan, 25th International Conference on Parallel Architectures and Compilation Techniques (PACT'16) , Haifa, Israel, Sep. 2016. pVM Persistent Virtual Memory for Efficient Capacity Scaling and Object Storage , Sudarsun Kannan, Ada Gavrilovska, Karsten Schwan, European Conference on Computer Systems (EuroSys) , London, UK, Apr. 2016. TCP Ordo: The cost of ordered processing in TCP Servers , Mohan Kumar, Ada Gavrilovska, In Proceedings of the 2016 IEEE International Conference on Computer Communications (INFOCOM 2016) , San Francisco, CA, Apr. 2016. Attribute-Based Partial Geo-Replication System , Hobin Yoon, Ada Gavrilovska, Karsten Schwan, International Conference on Cloud Engineering (IC2E) , Berlin, Germany, Apr. 2016. S-NFV: Securing NFV States by using SGX , Ming-Wei Shih, Mohan Kumar, Taesoo Kim, Ada Gavrilovska, In Proceedings of the 1st ACM International Workshop on Security in SDN and NFV , New Orleans, LA, Mar. 2016 ( best paper, presented at NFV World Congress ) Ephemeral Apps , Ketan Bhardwaj, Ada Gavrilovska, Karsten Schwan, ACM HotMobile'16 , St. Augustine, FL, Feb. 2016. Energy Aware Persistence: Reducing the Energy Overheads of Persistent Memory , Sudarsun Kannan, Moinuddin Qureshi, Ada Gavrilovska, Karsten Schwan, Computer Architecture Letters (CAL) , 2015. AppSachet: Distributed App Delivery from the Edge Cloud , Ketan Bhardwaj, Pragya Agarwal, Ada Gavrilovska, Karsten Schwan, MobiCASE'15 , Nov. 2015. Task Characterization-driven Scheduling of Multiple Applications in a Task-based Runtime , Kavitha Chandrasekar, Balasubramanian Seshasayee, Ada Gavrilovska, Karsten Schwan, ESPM2@SC'15 , Nov. 2015. Improving data reuse in co-located applications with progress-driven scheduling , Kavitha Chandrasekar, Balasubramanian Seshasayee, Ada Gavrilovska, Karsten Schwan, RESPA@SC'15 , Nov. 2015. Compiler Assisted Load Balancing on Large Clusters , Vinit Deodhar, Hrushit Parikh, Ada Gavrilovska, Santosh Pande, International Conference on Parallel Architectures and Compilation Techniques (PACT) , Oct. 2015. AppFlux: Taming App Delivery via Streaming , Ketan Bhardwaj, Pragya Agarwal, Ada Gavrilovska, Karsten Schwan, Conference on Timely Results in Operating Systems (TRIOS'15), in conjunction with SOSP , Oct. 2015. Balancing Context Switch Penalty and Response Time with Elastic Time Slicing , Nagakishore Jammula, Moinuddin Qureshi, Ada Gavrilovska, Jongman Kim, 21st International Conference on High Performance Computing (HiPC) , Goa, India, Dec. 2014 ( best paper ). Merlin: Application- and Platform-aware Resource Allocation in Consolidated Server Systems , Priyanka Tembey, Ada Gavrilovska, Karsten Schwan, ACM Symposium on Cloud Computing (SOCC) , Seattle, WA, Nov. 2014. DeSTM: Harnessing Determinism in STMs for Application Development , Kaushik Ravichandran, Ada Gavrilovska, Santosh Pande, The 23rd International Conference on Parallel Architectures and Compilation Techniques (PACT) , Edmonton, CA, Aug. 2014 Personal Clouds: Sharing and Integrating Networked Resources to Enhance End User Experiences , Minsung Jang, Karsten Schwan, Ketan Bhardwaj, Ada Gavrilovska, Adhyas Avasthi, 33rd IEEE Int'l Conf. on Computer Communications (INFOCOM) , Toronto, CA, Apr. 2014 ECC: Edge Cloud Composites , Ketan Bhardwaj, Sreenidhy Sreepathy, Ada Gavrilovska, Karsten Schwan, A Comparison of Two Paradigms for Distributed Shared Memory, IEEE Mobile Cloud , Oxford, UK, Apr. 2014 Exploring Graph Analytics for Cloud Troubleshooting , Chengwei Wang, Karsten Schwan, Brian Laub, Mukil Kesavan, Ada Gavrilovska, Int't Conference on Autonomic Computing (ICAC'14) , Philladelphia, PA, Jun., 2014 Slices: Provisioning Heterogeneous HPC Systems , Alex Merritt, Naila Farooqui, Magdalena Slawinska, Vishakha Gupta, Ada Gavrilovska, Karsten Schwan, XSEDE'14 , Jun. 2014 Reducing the Cost of Persistence for Nonvolatile Heaps in End User Devices , Sudarsun Kannan, Ada Gavrilovska, Karsten Schwan, IEEE Int'l Symposium on High Performance Computer Architecture (HPCA'14) , Orlando, FL, Feb. 2014 Practical Compute Capacity Management for Virtualized Datacenters , Mukil Kesavan, Irfan Ahmad, Orran Krieger, Ravi Soundararajan, Ada Gavrilovska, Karsten Schwan, in IEEE Transactions on Cloud Computing (TCC) , vol. 1, no. 1, Jan-Jun., 2014 ( selected as spotlight paper ) inTune: Coordinating Multicore Islands to Achieve Global Policy Objectives , Priyanka Tembey, Ada Gavrilovska, Karsten Shcwan, 1st Conference on Timely Results in Operating Systems (TRIOS), collocated with SOSP'13 , Nov. 2013 NVM Heaps for Accelerating Browser-based Applications , Sudarsun Kannan, Ada Gavrilovska, Karsten Schwan, Sanjay Kumar, Interactions of NVM/Flash with Operating-Systems and Workloads (INFLOW'13, co-located with SOSP 13) , Nov. 2013 Distributed Resource Exchange: Virtualized Resource Management for SR-IOV InfiniBand Clusters , Adit Ranadive, Ada Gavrilovska, Karsten Schwan, IEEE Cluster , Sep. 2013 Optimizing Checkpoints Using NVM as Virtual Memory , Sudarsun Kannan, Ada Gavrilovska, Karsten Schwan, 27th Int'l Parallel and Distributed Processing Symposium (IPDPS'13) , Boston, MA, May. 2013 Elastic Resource Allocation in Datacenters: Gremlins in the Management Plane , Mukil Kesavan, Ada Gavrilovska, Karsten Schwan, VMware Technical Journal , vol 1, no 2, December 2012. Understanding and Managing IT Power Consumption: A Measurement-Based Approach , Ada Gavrilovska, Karsten Schwan, Hrishikesh Amur, Bhavani Krishnan, Jhenkar Vidyashankar, Chengwei Wang, Matthew Wolf, Energy Efficient Thermal Management of Data Centers, ed. Yogendra Joshi and Pramod Kumar , Springer, 2012 Xerxes: Distributed Load Generator for Cloud-scale Experimentation , Mukil Kesavan, Ada Gavrilovska, Karsten Schwan, 7th OpenCirrus Summit , Beijing, China, Jun. 2012 Evaluating the Need for Complexity in Energy-Aware Management for Cloud Platforms , Pooja Ghumre, Junwei Li, Mukil Kesavan, Ada Gavrilovska, Karsten Schwan, Greenmetrics'12, in conjunction with Sigmetrics , London, UK, Jun. 2012; also in ACM SIGMETRICS Performance Evaluation Review, vol. 40, no. 3, Dec. 2012 A Cyber-Physical Integrated System for Application Performance and Energy Management in Data Centers , Hui Chen, Pengcheng Xiong, Ada Gavrilovska, Karsten Schwan and Chengzhong Xu, Third International Green Computing Conference (IGCC'12) , San Jose, CA, Jun. 2012 Interactive Use of Cloud Services: Amazon SQS and S3 , Hobin Yoon, Jim Donahue, Ada Gavrilovska, Karsten Schwan, The 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid 2012) , Ottawa, Canada, May 2012 Using Active NVRAM for I/O Staging , Sudarsun Kannan, Ada Gavrilovska, Karsten Schwan, Dejan Milojicic, Vanish Talwar, PDAC'11, in conjunction with SC'11 , Seattle, WA, Nov. 2011 [ PDF ] ResourceExchange: Latency-Aware Scheduling in Virtualized Environments with High Performance Fabrics , Adit Ranadive, Ada Gavrilovska, Karsten Schwan, IEEE Cluster'11 , Austin, TX, Sep. 2011 [ PDF ] CACM: Current-aware Capacity Management in Consolidated Server Enclosures , Hui Chen, Ada Gavrilovska, Karsten Schwan, Mukil Kesavan, Second International Green Computing Conference, Work-in-Progress , Orlando, FL, Jul. 2011. [ PDF ] Distributed Cloud Storage Services with FleCS Containers , Hobin Yoon, Madhumitha Ravichandran, Ada Gavrilovska, Karsten Schwan, 5th OpenCirrus Summit , Moscow, Russia, June 2011. [ PDF ] Shadowfax: Dynamically Composed GPGPU Assemblies , Alexander Merritt, Vishakha Gupta, Abhishek Verma, Ada Gavrilovska, Karsten Schwan, 5th Workshop on Virtualization Technologies in Distributed Computing (VTDC), in conjunction with HPDC 2011 , San Jose, CA, June 2011. [ PDF ] Spatially-aware Optimization of Energy Consumption in Consolidated Datacenter Systems , Hui Chen, Pramod Kumar, Mukil Kesavan, Karsten Schwan, Ada Gavrilovska, Yogendra Joshi, InterPACK2011 , Portland, OR, Jul. 2011. [ PDF ] Cloud4Home -- Enhancing Data Services with @Home Clouds , Sudarsun Kannan, Ada Gavrilovska, and Karsten Schwan, Int'l Conference on Distributed Computing Systems (ICDCS 2011) , Minneapolis, MN, Jun. 2011. [ PDF ] VStore++: Virtual Storage Services for Mobile Devices , Sudarsun Kannan, Karishma Babu, Ada Gavrilovska, and Karsten Schwan, MobiCloud'10 , Oct. 2010. A Split-Driver Approach to SoC Virtualization -- Challenges and Opportunities , Venkatraghavan Srinivasan, Narendra Parihar, Vivek Khurana and Ada Gavrilovska, 5th International Symposium on Embedded Multicore Systems-on-Chip , San Diego, CA, Sep. 2010. A Case for Coordinated Resource Management on Heterogeneous Multicore Platforms , Priyanka Tembey, Ada Gavrilovska, Karsten Schwan, 6th Workshop on the Interaction between Operating Systems and Computer Architecture (WIOSCA'10), in conjunction with ISCA'10 , Saint Malo, France, June, 2010 VM Power Metering: Feasibility and Challenges , Bhavani Krishnan, Hrishikesh Amur, Ada Gavrilovska, Karsten Schwan, GreenMetrics, in conjunction with SIGMETRICS'10 , New York, June, 2010 ( best student paper award ). In ACM SIGMETRICS Perforamce Evaluation Review , Vol. 38, No. 3, Dec. 2010. Differential Virtual Time (DVT): Rethinking I/O Service Differentiation for Virtual Machines , Mukil Kesavan, Ada Gavrilovska, Karsten Schwan, ACM Symposium on Cloud Computing 2010 (SOCC '10) , Indianapolis, USA, June 2010. FaReS: Fair Resource Scheduling for VMM-Bypass InfiniBand Devices , Adit Ranadive, Ada Gavrilovska, Karsten Schwan, Int'l Symposium on Cluster, Cloud and Grid Computing (CCGRID'10) , Melbourne, Australia, May 2010. On Disk I/O Scheduling in Virtual Machines , Mukil Kesavan, Ada Gavrilovska, Karsten Schwan, Workshop on I/O Virtualization (WIOV '10) colocated with ASPLOS 2010 and VEE 2010 , Pittsburgh, USA, Mar. 2010. IBMon: Monitoring VMM-Bypass Capable InfiniBand Devices using Memory Introspection , Adit Ranadive, Ada Gavrilovska, Karsten Schwan, HPCVirt'09 , in conjunction with EuroSys'09 , Germany, Mar. 2009. GViM:GPU-accelerated Virtual Machines , Vishakha Gupta, Ada Gavrilovska, Karsten Schwan, Harshvardhan Kharche, Niraj Tolia, Vanish Talwar and Partha Ranganathan, HPCVirt'09 , in conjunction with EuroSys'09 , Germany, Mar. 2009. Active CoordinaTion (ACT) - Towards Effectively Managing Virtualized Multicore Clouds , Mukil Kesavan, Adit Ranadive, Ada Gavrilovska, Karsten Schwan, Cluster 2008 , Japan, Sep. 2008. Flexible Classification on Heterogeneous Multicore Appliance Platforms , Priyanka Tembey, Anish Bhatt, Dulloor Rao, Ada Gavrilovska, Karsten Schwan, ICCCN'08 , St. Thomas, VI, Aug. 2008. Performance Implications of Virtualizing Multicore Cluster Machines , Adit Ranadive, Mukil Kesavan, Ada Gavrilovska, Karsten Schwan, Workshop on HPC System Virtualization, in conjunction with Eurosys'08 , Glasgow, UK, Mar. 2008. Enabling Semantic Communications for Virtual Machines via iConnect , Himanshu Raj, Sanjay Kumar, Balasubramanian Seshasayee, Radhika Niranjan, Ada Gavrilovska, Karsten Schwan, Workshop on Virtualization Technology in Distributed Computing (VTDC2007), in conjunction with Supercomputing 2007 , Reno, NV, Nov. 2007. Towards IQ-Appliances: Quality-awareness in Information Virtualization , Radhika Niranjan, Ada Gavrilovska, Karsten Schwan, Priyanka Tembey, 6th Int'l Conf. on Network Computing and Applications (IEEE NCA07) , Cambridge, MA, Jul. 2007. High Performance Hypervisor Architectures: Virtualization in HPC Systems , Ada Gavrilovska, Sanjay Kumar, Himanshu Raj, Karsten Schwan, Vishakha Gupta, Ripal Nathuji, Radhika Niranjan, Adit Ranadive, Purav Saraiya, 1st Workshop on System-level Virtualization for High Performance Computing (HPCVirt), in conjunction with EuroSys 2007 , Lisbon, Portugal, Mar. 2007. Virtualizing Heterogeneous Many-core Platforms , Greg Diamos, Ada Gavrilovska, Vishakha Gupta, Sanjay Kumar, Himanshu Raj, Karsten Schwan, Sudhakar Yalamanchili, EuroSys 2007 Poster , Lisbon, Portugal, Mar. 2007. Utilizing Network Processors in Distributed Enterprise Environments , Paul Royal, Mitch Halpin, Ada Gavrilovska, Karsten Schwan, 5th Int'l Conf. on Network Computing and Applications (IEEE NCA06) , Cambridge, MA, Jul. 2006. AutoFlow: Autonomic Information Flows for Critical Information Systems. , Karsten Schwan, Brian F. Cooper, Greg Eisenhauer, Ada Gavrilovska, Matt Wolf, Hasan Abbasi, Sandip Agarwala, Zhongtang Cai, Vibhore Kumar, Jay Lofstead, Mohamed Mansour, Balasubramanian Seshasayee, and Patrick Widener, Autonomic Computing: Concepts, Infrastructure, and Applications , ed. Manish Parashar and Salim Hariri, CRC Press, 2006. Tuning File System Block Addressing for Performance , Harrison Caudill, Ada Gavrilovska, ACM Southeaster Conf. , Melbourne, FL, Mar. 2006. Advanced Networking Services for Distributed Multimedia Streaming Applications , Ada Gavrilovska, Sanjay Kumar, Srikanth Sundaragopalan, Karsten Schwan, Journal on Multimedia Tools and Applications , Vol. 34, No. 2, Kluwer Academic Publishing, Aug. 2007. Addressing Data Compatibility on Programmable Networking Platforms , Ada Gavrilovska, and Karsten Schwan, Symposium on Architectures for Networking and Communication Systems (ANCS'05), Oct. 2005. C-Core: Using Communication Cores for High Performance Network Services , Sanjay Kumar, Ada Gavrilovska, Karsten Schwan, and Srikanth Sundaragopalan, 4th Int'l Conf. on Network Computing and Applications (IEEE NCA05) , Cambridge, MA, July 2005. Platform Overlays: Enabling In-Network Stream Processing in Large-scale Distributed Applications , Ada Gavrilovska, Sanjay Kumar, Srikanth Sundaragopalan, and Karsten Schwan, 15th Int'l Workshop on Network and Operating Systems Support for Digital Audio and Video (NOSSDAV'05) , Skamania, WA, June 2005, . An Approach Towards Enabling Intelligent Networking Services for Distributed Multimedia Applications , Srikanth Sundaragopalan, Ada Gavrilovska, Sanjay Kumar, and Karsten Schwan, 4th Int'l Conf. on Inteligent Mulimedia Computing and Networking (IMMCN'05) , Salt Lake City, UT, July 2005. The Execution of Event-Action Rules on Programmable Network Processors , Ada Gavrilovska, Sanjay Kumar, and Karsten Schwan, 1st Workshop on Operating System and Architectural Support for the On-Demand IT Infrastructure (OASIS 2004) , held in conjunction with ASPLOS-XI, Boston, MA, Oct. 2004. PDF [51K] SPLITS Stream Handlers: Deploying Application-level Services to Attached Network Processors , Ada Gavrilovska, Ph.D. Thesis, Georgia Institute of Technology , 2004. PDF [713K] Cooperative Application-level Processing on Hosts and their Attached Network Processors , Ada Gavrilovska, Karsten Schwan, Austen McDonald, Hailemelekot Seifu, and Ola Nordstrom, Poster Session, 11th International Conference on Network Protocols (ICNP) , Atlanta, Georgia, November 4-7, 2003. PDF [11K] | PPT [143K] Network Processors as Building Blocks in Overlay Networks , Ada Gavrilovska, Karsten Schwan, Hailemelekot Seifu, and Ola Nordstrom, 11th Symposium on High Performance Interconnects (HOT-I 2003) , Palo Alto, California, August 22-24, 2003. PostScript [122K] | PDF Service Morphing: Integrated System- and Application-level Service Adaptation in Autonomic Systems , Christian Poellabauer, Karsten Schwan, Sandip Agarwala, Ada Gavrilovska, Greg Eisenhauer, Santosh Pande, Calton Pu, and Matthew Wolf, 5th Annual International Workshop on Active Middleware Services (AMS 2003) , Seattle, Washington, June, 2003. PDF Stream Handlers: Application-specific Message Services on Attached Network Processors , Ada Gavrilovska, Kenneth Mackenzie, Karsten Schwan, and Austen McDonald, 10th Symposium on High Performance Interconnects (HOT-I 2002) , Palo Alto, California, August 21-23, 2002. PostScript [140K] A Practical Approach for `Zero' Downtime in an Operational Information System , Ada Gavrilovska, Karsten Schwan, and Van Oleson, 22nd International Conference on Distributed Computing Systems (ICDCS-2002) , Vienna, Austria, July 2-5, 2002. PostScript [167K] | PDF also available as a technical report: GIT-CC-02-14 Adaptable Mirroring in Cluster Servers , Ada Gavrilovska, Van Oleson, and Karsten Schwan, 10th International Conference on High-Performance Distributed Computing (HPDC-10) , San Francisco, California, August 7-9, 2001. PostScript [184K] also available as a technical report: GIT-CC-01-01 Time-Critical Visual Exploration of Scalably Large Data , William Ribarsky, Davis King, Ada Gavrilovska, and Rogier van de Pol, Dagstuhl Workshop on Scientific Visualization , Springer Verlag, 1998. also available as a technical report: GIT-CC-98-10 Contact Information: Ada Gavrilovska ada@cc.gatech.edu phone: 404.894.0387 fax: 404.385.2295 College of Computing Klaus Advanced Computing Building, Rm. 3348 Georgia Institute of Technology 266 Ferst Drive Atlanta, GA 30332-0765 diff --git a/src/data/compiled_bios/4496.txt b/src/data/compiled_bios/4496.txt new file mode 100644 index 0000000000..ff029ce983 --- /dev/null +++ b/src/data/compiled_bios/4496.txt @@ -0,0 +1 @@ + Seymour (Sy) Goodman Professor Sy Goodman Email : goodman@cc.gatech.edu Seymour (Sy) Goodman, Professor College of Computing & The Sam Nunn School of International Affairs Georgia Institute of Technology 801 Atlantic Drive Atlanta, GA 30332-0280 Tel: (404)385-1461 Fax: (404)385-0504 Biography Seymour (Sy) E. Goodman is Professor of International Affairs and Computing, jointly at the Sam Nunn School of International Affairs and the College of Computing at the Georgia Institute of Technology. He serves as Co-Director of both the Georgia Tech Information Security Center (GTISC) and the Center for International Strategy, Technology and Policy (CISTP). Prof. Goodman's research interests include international developments in the information technologies (IT), technology diffusion, IT and national security, and related public policy issues. Areas of geographic interest include the former Soviet Union and Eastern Europe , Latin America , the Middle East , South and Southeast Asia , and parts of Africa . Earlier research had been in areas of statistical and continuum physics, combinatorial algorithms, and software engineering. Current work includes research on the global diffusion of the Internet and the protection of large IT-based infrastructures Immediately before coming to Georgia Tech, he was Director of the Consortium for Research on Information Security and Policy (CRISP) at the Center for International Security and Cooperation, with an appointment in the Department of Engineering Economic Systems and Operations Research, both at Stanford University; and Professor of MIS and a member of the Center for Middle Eastern Studies at the University of Arizona. Earlier tenured and visiting appointments have been at the University of Virginia (Applied Mathematics, Computer Science, and Soviet and East European Studies), Princeton University (Mathematics, and the Woodrow Wilson School of Public and International Affairs), and the University of Chicago (Economics). Prof. Goodman is Contributing Editor for International Perspectives for the Communications of the ACM , and has served with many government, academic, professional society, and industry advisory and study groups. His research pursuits have taken him to all seven continents and over 80 countries, and have included testimony before legislative bodies and Ministerial-level briefings. He is currently principal investigator on two large grants from the National Science Foundation and the MacArthur Foundation. Prof. Goodman was an undergraduate at Columbia University , where he started as an aspiring English major, and obtained his Ph.D. from the California Institute of Technology, where he worked on problems of applied mathematics and mathematical physics. [ top ] Representative Publications Seymour E. Goodman, Toward a Treaty-based International Regime on Cyber Crime and Terrorism, in Cyber Security: Turning National Solutions into International Cooperation , Center for Strategic and International Studies, CSIS Press, 2003,. pp. 65-78. Stephen J. Lukasik, Seymour E. Goodman, and David W. Longhurst, Protecting Critical Infrastructures Against Cyber-Attack , Adelphi Paper 359, International Institute for Strategic Studies, London , 2003. (98 pages) S. Goodman, P. Hassebroek, D. King, A. Ozment, International Coordination to Increase the Security of Critical Network Infrastructures, J. Information Warfar e, Vol. 2, Issue 2, 2003, pp. 72-87. Peter Wolcott and Seymour E. Goodman, The Global Diffusion of the Internet I: India : Is the Elephant Learning to Dance? Comm. of the AIS , Vol. 11, No. 32, 2003. Seymour Goodman , The Origins of Digital Computing in Europe , Comm. of the ACM , Vol. 49, No. 9, September 2003, pp. 21-25.* President's National Security Telecommunications Advisory Committee and the Office of Science and Technology policy, 2003 Research and Development Exchange Proceedings: Research and Development Issues to Ensure Trustworthiness in Telecommunications and Information Systems that Directly or Indirectly Impact National Security and Emergency Preparedness, Georgia Institute of Technology, Atlanta , GA , May 2003. (Prof. Goodman was one of the principal organizers of this conference.) S. E. Goodman, Cyber Terrorism and Security Measures, invited paper at the Indo-US Workshop on Science and Technology to Counter Terrorism, Co-Sponsored by the US National Academies of Science and Engineering, Washington DC, and the National Institute of Advanced Studies, Bangalore, India, January 12-15, 2004, Goa, India. To be published in a volume on the proceedings by the National Academies Press. [ top ] Current Projects Assurance and Security of Critical International Infrastructures; Global Diffusion of the Internet [ top ] Awards International Perspectives Editor, Communications of the ACM. Listings, Marquis Who's Who in the World and Who's Who in America. [ top ] Last updated October 22, 2004 diff --git a/src/data/compiled_bios/4497.txt b/src/data/compiled_bios/4497.txt new file mode 100644 index 0000000000..1f7bc842fc --- /dev/null +++ b/src/data/compiled_bios/4497.txt @@ -0,0 +1 @@ + Taesoo Kim () Catherine M. and James E. Allchin Early Career Assistant Professor, School of Computer Science, College of Computing, Georgia Tech CV taesoo@gatech.edu https://github.com/tsgates ( ) PGP Key SSLab / GTS3 / IISP / r00timentary Contacts Room 3142, Klaus Advanced Computing Building , 266 Ferst Dr NW, Atlanta GA 30332-0765 (404) 385-2934 Research Interests Systems Security, Operating Systems, Programming Languages, and Distributed Systems. Teaching Fall 2018: Information Security Lab (CS 6265) Fall 2017: Information Security Lab (CS 6265) Fall 2016: Information Security Lab (CS 6265) Spring 2016: Design Operating Systems (CS 3210) Fall 2015: Information Security Lab (CS 6265) Fall 2014: Topics in Building Secure Systems (CS 8803) Publications ( all / 19 / 18 / 17 / 16 / 15 / ... ) Fuzzing File Systems via Two-Dimensional Input Space Exploration (to appear). Wen Xu, Hyungon Moon, Sanidhya Kashyap, Po-Ning Tseng, and Taesoo Kim. In Proceedings of the 40th IEEE Symposium on Security and Privacy (S&P 2019) , San Francisco, CA, May 2019. Stopping Memory Disclosures via Diversification and Replicated Execution. [ paper ] Kangjie Lu, Meng Xu, Chengyu Song, Taesoo Kim, and Wenke Lee. IEEE Transactions on Dependable and Secure Computing (TDSC) , October 2018. Enforcing Unique Code Target Property for Control-Flow Integrity. [ paper | slides | code ] Hong Hu, Chenxiong Qian, Carter Yagemann, Simon P. Chung, Bill Harris, Taesoo Kim, and Wenke Lee. In Proceedings of the 24th ACM Conference on Computer and Communications Security (CCS 2018) , Toronto, Canada, October 2018. SGX-Tor: A Secure and Practical Tor Anonymity Network With SGX Enclaves. [ paper | code ] Seongmin Kim, Juhyeng Han, Jaehyeong Ha, Taesoo Kim, and Dongsu Han. IEEE/ACM Transactions on Networking (ToN), Volumn. 26, No. 5, pp. 2174-2187 , October 2018. QSYM: A Practical Concolic Execution Engine Tailored for Hybrid Fuzzing. [ paper | slides | code ] Insu Yun, Sangho Lee, Meng Xu, Yeongjin Jang, and Taesoo Kim. In Proceedings of the 27th USENIX Security Symposium (Security 2018) , Baltimore, MD, August 2018. Distinguished Paper Award CVE-2017-6836 , CVE-2017-8891 , CVE-2017-12878 , CVE-2017-17080 , CVE-2017-17081 , Efficient Data Flow Tagging and Tracking for Refinable Cross-host Attack Investigation. [ paper | slides ] Yang Ji, Sangho Lee, Mattia Fazzini, Joey Allen, Evan Downing, Taesoo Kim, Alessandro Orso, and Wenke Lee. In Proceedings of the 27th USENIX Security Symposium (Security 2018) , Baltimore, MD, August 2018. Scaling Guest OS Critical Sections with eCS. [ paper | slides | code ] Sanidhya Kashyap, Changwoo Min, and Taesoo Kim. In Proceedings of the 2018 USENIX Annual Technical Conference (ATC 2018) , Boston, MA, July 2018. Precise and Scalable Detection of Double-Fetch Bugs in OS Kernels. [ paper | slides | code ] Meng Xu, Chenxiong Qian, Kangjie Lu, Michael Backes, and Taesoo Kim. In Proceedings of the 39th IEEE Symposium on Security and Privacy (S&P 2018) , San Francisco, CA, May 2018. CVE-2017-15037 A Scalable Ordering Primitive for Multicore Machines. [ paper | slides | code ] Sanidhya Kashyap, Changwoo Min, Kangnyeon Kim, and Taesoo Kim. In Proceedings of the 13rd ACM European Conference on Computer Systems (EuroSys 2018) , Porto, Portugal, April, 2018. SOLROS: A Data-Centric Operating System Architecture for Heterogeneous Computing. [ paper | slides ] Changwoo Min, Woon-Hak Kang, Mohan Kumar Sanidhya Kashyap, Steffen Maass, Heeseung Jo, and Taesoo Kim. In Proceedings of the 13rd ACM European Conference on Computer Systems (EuroSys 2018) , Porto, Portugal, April, 2018. LATR: Lazy Translation Coherence. [ paper | slides | code ] Mohan Kumar, Steffen Maass, Sanidhya Kashyap, Jan Vesely, Zi Yan, Taesoo Kim, Abhishek Bhattacharjee, and Tushar Krishna. In Proceedings of the 23rd ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS 2018) , Williamsburg, VA, March, 2018. Prevention of Cross-update Privacy Leaks on Android. [ paper ] Beumjin Cho, Sangho Lee, Meng Xu, Sangwoo Ji, Taesoo Kim, and Jong Kim. Computer Science and Information Systems 15(1) , January 2018. Designing New Operating Primitives to Improve Fuzzing Performance. [ paper | slides | code ] Wen Xu, Sanidhya Kashyap, Changwoo Min, and Taesoo Kim. In Proceedings of the 23th ACM Conference on Computer and Communications Security (CCS 2017) , Dallas, TX, October 2017. Mozilla Research RAIN: Refinable Attack Investigation with On-demand Inter-Process Information Flow Tracking. [ paper | slides ] Yang Ji, Sangho Lee, Evan Downing, Weiren Wang, Mattia Fazzini, Taesoo Kim, Alex Orso, and Wenke Lee. In Proceedings of the 23th ACM Conference on Computer and Communications Security (CCS 2017) , Dallas, TX, October 2017. GT News Horizons Checking Open-Source License Violation and 1-day Security Risk at Large Scale. [ paper | slides | code ] Ruian Duan, Ashish Bijlani, Meng Xu, Taesoo Kim, and Wenke Lee. In Proceedings of the 23th ACM Conference on Computer and Communications Security (CCS 2017) , Dallas, TX, October 2017. SGX-Bomb: Locking Down the Processor via Rowhammer Attack. [ paper | slides | code ] Yeongjin Jang, Jaehyuk Lee, Sangho Lee, and Taesoo Kim. In Proceedings of the 2nd Workshop on System Software for Trusted Execution (SysTEX 2017) , Shanghai, China, October 2017. Hacker News FLSCHED: A Lockless and Lightweight Approach to OS Scheduler for Xeon Phi. [ paper | slides ] Heeseung Jo, Woonhak Kang, Changwoo Min, and Taesoo Kim. In Proceedings of the 8th Asia-Pacific Workshop on Systems (APSys 2017) , Mumbai, India, September 2017. Inferring Fine-grained Control Flow Inside SGX Enclaves with Branch Shadowing. [ paper | slides | code ] Sangho Lee, Ming-Wei Shih, Prasun Gera, Taesoo Kim, Hyesoon Kim, and Marcus Peinado. In Proceedings of the 26th USENIX Security Symposium (Security 2017) , Vancouver, Canada, August 2017. Intel SGX Research Hacking in Darkness: Return-oriented Programming against Secure Enclaves. [ paper | slides | code ] Jaehyuk Lee, Jinsoo Jang, Yeongjin Jang, Nohyun Kwak, Yeseul Choi, Changho Choi, Taesoo Kim, Marcus Peinado, and Brent B. Kang. In Proceedings of the 26th USENIX Security Symposium (Security 2017) , Vancouver, Canada, August 2017. Intel SGX Research Efficient Protection of Path-Sensitive Control Security. [ paper | slides | code ] Ren Ding, Chenxiong Qian, Chengyu Song, Bill Harris, Taesoo Kim, and Wenke Lee. In Proceedings of the 26th USENIX Security Symposium (Security 2017) , Vancouver, Canada, August 2017. PlatPal: Detecting Malicious Documents with Platform Diversity. [ paper | slides | code ] Meng Xu and Taesoo Kim. In Proceedings of the 26th USENIX Security Symposium (Security 2017) , Vancouver, Canada, August 2017. AVPASS: Leaking and Bypassing Antivirus Detection Model Automatically. [ slides | code ] Jinho Jung, Chanil Jeon, Max Wolotsky, Insu Yun, and Taesoo Kim. BlackHat USA 2017 , Las Vegas, NV, Auguest 2017. DARK Reading 1 / 2 / 3 , WIRED Scalable NUMA-aware Blocking Synchronization Primitives. [ paper | slides | code ] Sanidhya Kashyap, Changwoo Min, and Taesoo Kim. In Proceedings of the 2017 USENIX Annual Technical Conference (ATC 2017) , Santa Clara, CA, July 2017. CAB-Fuzz: Practical Concolic Testing Techniques for COTS Operating Systems. [ paper | slides ] Su Yong Kim, Sangho Lee, Insu Yun, Wen Xu, Byoungyoung Lee, Youngtae Yun, and Taesoo Kim. In Proceedings of the 2017 USENIX Annual Technical Conference (ATC 2017) , Santa Clara, CA, July 2017. CVE-2015-6098 , CVE-2016-0040 , CVE-2016-7219 Bunshin: Compositing Security Mechanisms through Diversification. [ paper | slides | code ] Meng Xu, Kangjie Lu, Taesoo Kim, and Wenke Lee. In Proceedings of the 2017 USENIX Annual Technical Conference (ATC 2017) , Santa Clara, CA, July 2017. Mosaic: Processing a Trillion-Edge Graph on a Single Machine. [ paper | slides | code ] Steffen Maass, Changwoo Min, Sanidhya Kashyap, Woonhak Kang, Mohan Kumar, and Taesoo Kim. In Proceedings of the 12st ACM European Conference on Computer Systems (EuroSys 2017) , Belgrade, Serbia, April, 2017. Best Student Paper Award The Next Platform , Hacker News 1 / 2 , GT News , The morning paper Enhancing Security and Privacy of Tor's Ecosystem by using Trusted Execution Environments. [ paper | slides | code ] Seongmin Kim, Juhyeng Han, Jaehyeong Ha, Taesoo Kim, and Dongsu Han. In Proceedings of the 14th USENIX Symposium on Networked Systems Design and Implementation (NSDI 2017) , Boston, MA, March 2017. Intel SGX Research SGX-Shield: Enabling Address Space Layout Randomization for SGX Programs. [ paper | slides | code ] Jaebaek Seo, Byoungyoung Lee, Sungmin Kim, Ming-Wei Shih, Insik Shin, Dongsu Han, and Taesoo Kim. In Proceedings of the 2017 Network and Distributed System Security Symposium (NDSS 2017) , San Diego, CA, February 2017. Intel SGX Research T-SGX: Eradicating Controlled-Channel Attacks Against Enclave Programs. [ paper | slides | code ] Ming-Wei Shih, Sangho Lee, Taesoo Kim, and Marcus Peinado. In Proceedings of the 2017 Network and Distributed System Security Symposium (NDSS 2017) , San Diego, CA, February 2017. Intel SGX Research Fast, Scalable and Secure Onloading of Edge Functions using AirBox. [ paper | slides ] Ketan Bhardwaj, Ming-Wei Shih, Pragya Agarwal, Ada Gavrilovska, Taesoo Kim, and Karsten Schwan. In Proceedings of the 1st IEEE/ACM Symposium on Edge Computing (SEC 2017) , Washington, DC, October 2016. Patent: WO2018026841A1 UniSan: Proactive Kernel Memory Initialization to Eliminate Data Leakages. [ paper | slides | code ] Kangjie Lu, Chengyu Song, Taesoo Kim, and Wenke Lee. In Proceedings of the 22nd ACM Conference on Computer and Communications Security (CCS 2016) , Vienna, Austria, October 2016. CVE-2016-5243 , CVE-2016-5244 , CVE-2016-4569 , CVE-2016-4578 , CVE-2016-4569 , CVE-2016-4485 , CVE-2016-4486 , CVE-2016-4482 , AndroidID-28620568, AndroidID-28619338, AndroidID-28620324, AndroidID-28673002, AndroidID-28672819, AndroidID-28672560, AndroidID-28616963, Breaking Kernel Address Space Layout Randomization with Intel TSX. [ paper | slides | code ] Yeongjin Jang, Sangho Lee, and Taesoo Kim. In Proceedings of the 22nd ACM Conference on Computer and Communications Security (CCS 2016) , Vienna, Austria, October 2016. Hacker News , LWN , Attacking Windows 10 by IOActive , Google Project Zero , Microsoft Provably-Secure Remote Memory Attestation for Heap Overflow Protection. [ paper ] Alexandra Boldyreva, Taesoo Kim, Richard J. Lipton, and Bogdan Warinschi. In Proceedings of the 10th Conference on Security and Cryptography for Networks (SCN 2016) , Amalfi, Italy, August, 2016. Toward Engineering a Secure Android Ecosystem: A Survey of Existing Techniques. [ paper ] Meng Xu, Chengyu Song, Yang ji, Ming-Wei Shih, Kangjie Lu, Cong Zheng, Ruian Duan, Yeongjin Jang, Byoungyoung Lee, Chenxiong Qian, Sangho Lee, and Taesoo Kim. ACM Computing Surveys (CSUR 2016), Volumn 49-2 , August, 2016. APISan: Sanitizing API Usages through Semantic Cross-checking. [ paper | slides | code ] Insu Yun, Changwoo Min, Xujie Si, Yeongjin Jang, Taesoo Kim, and Mayur Naik. In Proceedings of the 25th USENIX Security Symposium (Security 2016) , Austin, TX, August, 2016. Top 10 Finalists, CSAW16 TGC/News , CVE-2016-5636 Breaking Kernel Address Space Layout Randomization (KASLR) with Intel TSX. [ paper | slides | code ] Yeongjin Jang, Sangho Lee, and Taesoo Kim. BlackHat USA 2016 , Las Vegas, NV, Auguest 2016. Hacker News , LWN , Attacking Windows 10 by IOActive , Google Project Zero , Microsoft Understanding Manycore Scalability of File Systems. [ paper | slides | code ] Changwoo Min, Sanidhya Kashyap, Steffen Maass, Woonhak Kang, and Taesoo Kim. In Proceedings of the 2016 USENIX Annual Technical Conference (ATC 2016) , Denver, CO, June 2016. Instant OS Updates via Userspace Checkpoint-and-Restart. [ paper | slides ] Sanidhya Kashyap, Changwoo Min, Byoungyoung Lee, Taesoo Kim, and Pavel Emelyanov. In Proceedings of the 2016 USENIX Annual Technical Conference (ATC 2016) , Denver, CO, June 2016. Linux Plumbers Conference 2015 , CRIU HDFI: Hardware-Assisted Data-flow Isolation. [ paper | slides | code ] Chengyu Song, Hyungon Moon, Monjur Alam, Insu Yun, Byoungyoung Lee, Taesoo Kim, Wenke Lee, and Yunheung Paek. In Proceedings of the 37th IEEE Symposium on Security and Privacy (S&P 2016) , San Jose, CA, May 2016. MetaSync: Coordinating Storage Across Multiple File Synchronization Services. [ paper | slides | code ] Seungyeop Han, Haichen Shen, Taesoo Kim, Arvind Krishnamurthy, Thomas Anderson, and David Wetherall. IEEE Internet Computing (IEEE IC 2016) , May/June 2016. S-NFV: Securing NFV States by using SGX. [ paper | slides | code ] Ming-Wei Shih, Mohan Kumar, Taesoo Kim, Ada Gavrilovska. In Proceedings of the 1st ACM International Workshop on Security in SDN and NFV , New Orleans, LA, March 2016. Best paper, invited to present at the NFV World Congress Intel SGX Research OpenSGX: An Open Platform for SGX Research. [ paper | slides | code ] Prerit Jain, Soham Desai, Seongmin Kim, Ming-Wei Shih, JaeHyuk Lee, Changho Choi, Youjung Shin, Taesoo Kim, Brent B. Kang and Dongsu Han. In Proceedings of the 2016 Network and Distributed System Security Symposium (NDSS 2016) , San Diego, CA, February 2016. Wikipedia: Software Guard Extensions , Intel SGX Research Enforcing Kernel Security Invariants with Data Flow Integrity. [ paper | slides | code ] Chengyu Song, Byoungyoung Lee, Kangjie Lu, William R. Harris, Taesoo Kim and Wenke Lee. In Proceedings of the 2016 Network and Distributed System Security Symposium (NDSS 2016) , San Diego, CA, February 2016. FlexDroid: Enforcing In-App Privilege Separation in Android. [ paper | slides ] Jaebaek Seo, Daehyeok Kim, Donghyun Cho, Taesoo Kim and Insik Shin. In Proceedings of the 2016 Network and Distributed System Security Symposium (NDSS 2016) , San Diego, CA, February 2016. Opportunistic Spinlocks: Achieving Virtual Machine Scalability in the Clouds. [ paper | code ] Sanidhya Kashyap, Changwoo Min, and Taesoo Kim. ACM SIGOPS Operating Systems Review (OSR), Volumn 50-1 , January 2016. LWN: qspinlock in Linux A First Step Towards Leveraging Commodity Trusted Execution Environments for Network Applications. [ paper | slides | code ] Seongmin Kim, Youjung Shin, Jaehyung Ha, Taesoo Kim, and Dongsu Han. In Proceedings of the 14th ACM Workshop on Hot Topics in Networks (HotNets 2015) , Philadelphia, PA, November 2015. UCognito: Private Browsing without Tears. [ paper | slides | code ] Meng Xu, Yeongjin Jang, Xinyu Xing, Taesoo Kim, and Wenke Lee. In Proceedings of the 22nd ACM Conference on Computer and Communications Security (CCS 2015) , Denver, CO, October 2015. Observer Innovation ASLR-Guard: Stopping Address Space Leakage for Code Reuse Attacks. [ paper | slides | code ] Kangjie Lu, Chengyu Song, Byoungyoung Lee, Simon P. Chung, Taesoo Kim, and Wenke Lee. In Proceedings of the 22nd ACM Conference on Computer and Communications Security (CCS 2015) , Denver, CO, October 2015. Dagstuhl Seminar Breaking and Fixing VoLTE: Exploiting Hidden Data Channels and Mis-implementations. [ paper | slides ] Hongil Kim, Dongkwan Kim, Minhee Kwon, Hyungseok Han, Yeongjin Jang, Dongsu Han, Taesoo Kim, and Yongdae Kim. In Proceedings of the 22nd ACM Conference on Computer and Communications Security (CCS 2015) , Denver, CO, October 2015. Android Security , CERT , Networkworld , Softpedia , pocketnow , VoIPshield , VU#943167 , CVE-2015-6614 Cross-checking Semantic Correctness: The Case of Finding File System Bugs. [ paper | slides | code ] Changwoo Min, Sanidhya Kashyap, Byoungyoung Lee, Chengyu Song, and Taesoo Kim. In Proceedings of the 25th ACM Symposium on Operating Systems Principles (SOSP 2015) , Monterey, CA, October 2015. Bug Report Type Casting Verification: Stopping an Emerging Attack Vector. [ paper | slides | code ] Byoungyoung Lee, Chengyu Song, Taesoo Kim, and Wenke Lee. In Proceedings of the 24th USENIX Security Symposium (Security 2015) , Washington, DC, August 2015. 2015 Internet Defense Prize ($100k Prize) Top 10 Finalists, CSAW15 Internet Defense Prize , USENIX Update , Facebook , ZDNet , We Live Security , Science 2.0 , hys.org , Scientific Computing , IT Pro Portal , Laboratory Equipment , Gizbot , Science Codex , Business Standard , ECN magazine , The Times of India , CanIndia News , New Indian Express , InfoSec , Social Times , The Register , CTV News , Threat Post , TNW News , The Security Ledger , Georgia Tech News Center , ScienceDaily , Milton Security , ACM TECHNEWS , Gadget 360 , SC Magazine , IHS Engineering 360 , CVE-2014-1594 , Scalability in the Clouds! A Myth or Reality? [ paper | slides | code ] Sanidhya Kashyap, Changwoo Min, and Taesoo Kim. In Proceedings of the 6th Asia-Pacific Workshop on Systems (APSys 2015) , Tokyo, Japan, July 2015. Best paper, nominated to Operating Systems Review (OSR) LWN: qspinlock in Linux Lightweight Application-Level Crash Consistency on Transactional Flash Storage. [ paper | slides ] Changwoo Min, Woon-Hak Kang, Taesoo Kim, Sang-Won Lee, and Young Ik Eom. In Proceedings of the 2015 USENIX Annual Technical Conference (ATC 2015) , Santa Clara, CA, July 2015. MetaSync: File Synchronization Across Multiple Untrusted Storage Services. [ paper | slides | code ] Seungyeop Han, Haichen Shen, Taesoo Kim, Arvind Krishnamurthy, Thomas Anderson, and David Wetherall. In Proceedings of the 2015 USENIX Annual Technical Conference (ATC 2015) , Santa Clara, CA, July 2015. Preventing Use-after-free with Dangling Pointers Nullification. [ paper | slides | code ] Byoungyoung Lee, Chengyu Song, Yeongjin Jang, Tielei Wang, Taesoo Kim, Long Lu, and Wenke Lee. In Proceedings of the 2015 Network and Distributed System Security Symposium (NDSS 2015) , San Diego, CA, February 2015. Best Applied Security Research Paper (CSAW15) RFVP: Rollback-Free Value Prediction with Safe-to-Approximate Loads. [ paper ] Amir Yazdanbakhsh, Gennady Pekhimenko, Bradley Thwaites, Hadi Esmaeilzadeh, Taesoo Kim, Onur Mutlu, and Todd C Mowry. SCS Technical Report GT-CS-15-01, Georgia Institute of Technology , Atlanta, GA, January 2015. Identifying Information Disclosure in Web Applications with Retroactive Auditing. [ paper | slides | code ] Haogang Chen, Taesoo Kim, Xi Wang, M. Frans Kaashoek, and Nickolai Zeldovich. In Proceedings of the 11th Symposium on Operating Systems Design and Implementation (OSDI 2014) , Broomfield, CO, October 2014. Abusing Performance Optimization Weaknesses to Bypass ASLR. [ slides ] Byoungyoung Lee, Yeongjin Jang, Tielei Wang, Chengyu Song, Long Lu, Taesoo Kim, and Wenke Lee. BlackHat USA 2014 , Las Vegas, NV, Auguest 2014. Phrack , ISS Source , IT Researches , Embedded Automatic Intrusion Recovery with System-wide History. [ paper | slides ] Taesoo Kim. Ph.D. Thesis, Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science , Cambridge, MA, June 2014. MetaSync: File Synchronization Across Multiple Untrusted Storage Services. [ paper | code ] Seungyeop Han, Haichen Shen, Taesoon Kim, Arvind Krishnamurthy, Thomas Anderson, and David Wetherall. Technical Report UW-CSE-14-05-02, University of Washington Computer Science and Engineering , Seattle, WA, May 2014. From Zygote to Morula: Fortifying Weakened ASLR on Android. [ paper | slides | code ] Byoungyoung Lee, Long Lu, Tielei Wang, Taesoo Kim, and Wenke Lee. In Proceedings of the 35th IEEE Symposium on Security and Privacy (S&P 2014) , San Jose, CA, May 2014. LWN , Copperhead Asynchronous Intrusion Recovery for Interconnected Web Services. [ paper | slides | code ] Ramesh Chandra, Taesoo Kim, and Nickolai Zeldovich. In Proceedings of the 24th ACM Symposium on Operating Systems Principles (SOSP 2013) , Farmington, PA, November 2013. Optimizing Unit Test Execution in Large Software Programs using Dependency Analysis. [ paper | slides ] Taesoo Kim, Ramesh Chandra, and Nickolai Zeldovich. In Proceedings of the 4th Asia-Pacific Workshop on Systems (APSys 2013) , Singapore, July 2013. Security Bugs in Embedded Interpreters. [ paper | slides ] Haogang Chen, Cody Cutler, Taesoo Kim, Yandong Mao, Xi Wang, Nickolai Zeldovich, and M. Frans Kaashoek. In Proceedings of the 4th Asia-Pacific Workshop on Systems (APSys 2013) , Singapore, July 2013. Practical and Effective Sandboxing for Non-root Users. [ paper | slides | code ] Taesoo Kim and Nickolai Zeldovich. In Proceedings of the 2013 USENIX Annual Technical Conference (ATC 2013) , San Jose, CA, June 2013. Hacker News , Wikipedia: seccomp , Coders Grid , AlternativeTo , TorProject Efficient Patch-based Auditing for Web Application Vulnerabilities. [ paper | slides | code ] Taesoo Kim, Ramesh Chandra, and Nickolai Zeldovich. In Proceedings of the 10th Symposium on Operating Systems Design and Implementation (OSDI 2012) , Hollywood, CA, October 2012. System-Level Protection Against Cache-based Side Channel Attacks in the Cloud. [ paper | slides ] Taesoo Kim, Marcus Peinado, and Gloria Mainar-Ruiz. In Proceedings of the 21st USENIX Security Symposium (Security 2012) , Bellevue, WA, August 2012. Recovering from Intrusions in Distributed Systems with Dare. [ paper | slides | code ] Taesoo Kim, Ramesh Chandra, and Nickolai Zeldovich. In Proceedings of the 3rd Asia-Pacific Workshop on Systems (APSys 2012) , Seoul, South Korea, July 2012. Intrusion Recovery for Database-backed Web Applications. [ paper | slides | code ] Ramesh Chandra, Taesoo Kim, Meelap Shah, Neha Narula, and Nickolai Zeldovich. In Proceedings of the 23rd ACM Symposium on Operating Systems Principles (SOSP 2011) , Cascais, Portugal, October 2011. Intrusion Recovery using Selective Re-execution. [ paper | slides | code ] Taesoo Kim, Xi Wang, Nickolai Zeldovich, and M. Frans Kaashoek. In Proceedings of the 9th Symposium on Operating Systems Design and Implementation (OSDI 2010) , Vancouver, Canada, October 2010. Network World Making Linux Protection Mechanisms Egalitarian with UserFS. [ paper | slides ] Taesoo Kim and Nickolai Zeldovich. In Proceedings of the 19th USENIX Security Symposium (Security 2010) , Washington, DC, August 2010. Updated: Mon Nov 26 11:28:46 2018 diff --git a/src/data/compiled_bios/4498.txt b/src/data/compiled_bios/4498.txt new file mode 100644 index 0000000000..1e4e6b1441 --- /dev/null +++ b/src/data/compiled_bios/4498.txt @@ -0,0 +1 @@ + This page uses frames, but your browser doesn't support them. diff --git a/src/data/compiled_bios/4499.txt b/src/data/compiled_bios/4499.txt new file mode 100644 index 0000000000..c2f5d6f0ca --- /dev/null +++ b/src/data/compiled_bios/4499.txt @@ -0,0 +1 @@ + Prof. Dr. Ling Liu College of Computing Georgia Institute of Technology Office: KACB, room 3340 Address: Georgia Tech, 266 Ferst Dr, Atlanta, GA 30332-0765 USA Phone +1-404-385-1139 FAX +1-404-385-2295 Email: lingliu AT cc dot gatech dot edu GT Directory ng Liu If we knew what it was we were doing, it would not be called research, would it? -- Albert Einstein Contents Research Interests | Research Projects | Publications Teaching | Postdocs & Graduate Students | DiSL | Calendar Keynotes/Panels/Tutorials/Invited Talks | Professional Services | Interesting Web Links Important Conferences | DBLP | GT Digital Library | BibFinder Short Bio Prof. Dr. Ling Liu is a Professor in the College of Computing at Georgia Institute of Technology and an elected IEEE Fellow. She directs the research programs in Distributed Data Intensive Systems Lab ( DiSL ), examining performance, availability, security, privacy, trust, data mining, and data management issues in big data systems, cloud computing, distributed computing systems and big data powered deep learning sysems. Prof. Liu and the DiSL research group have been working on various aspects of distributed data intensive systems, ranging from Big Data systems and data analytics, Cloud Computing and cloud datacenters, distributed systems, decentralized and social computing, mobile and location based services, sensor network and event stream processing, to service oriented computing and architectures. She has published over 300 international journal and conference articles. Her research group has produced a number of open source software systems, among which the most popular ones include WebCQ , XWRAPElite , PeerCrawl , GTMobSIM , and SHAPE . Prof. Dr. Liu is a recipient of IEEE Computer Society Technical Achievement Award (2012) and an Outstanding Doctoral Thesis Advisor award from Georgia Institute of Technology in 2012. She has published over 300 international journal and conference articles and is a recipient of the best paper award from numerous top venues, including ICDCS 2003, WWW 2004, 2005 Pat Goldberg Memorial Best Paper Award, IEEE Cloud 2012, IEEE ICWS 2013, Mobiqutious 2014, APWeb 2015, IEEE/ACM CCGrid 2015, IEEE Symposium on Big Data 2016, IEEE Edge 2017 and IEEE IoT 2017. Prof. Dr. Ling Liu has served as a general chair or a PC chair of numerous IEEE and ACM conferences in data engineering, very large databasesBig data, and distributed computing fields, and most recently, the PC chair of IEEE ICDCS 2017 and a co-PC chair of IEEE 2016 Big Data Conference. Prof. Liu has been on editorial board of over a dozen international journals, and served as the Editor In Chief of IEEE Transactions on Service Computing (2013-2016). Prof. Dr. Liu's current research is primarily sponsored by NSF, IBM, and Intel. Active Research Projects Big Data Processing and Data Analytics as a Service GTDLBench - Benchmarking Deep Learning Frameworks NGramCNN - Learning to classify graph objects with a deep convolutional neural network (incl. software download). AdaTrace - Differentially Private and Attack Resilient Approach to Large Scale Mobile Trajectory Synthesis DPStar - Differentially Private Publishing of Spatial Trajectories SI-Cluster - Social Influence Analytics in Heterogeneous Information Networks ( software download ) VEPathCluster - Social Influence Analytics in Heterogeneous Information Networks ( software download ) GraphLens - Social Influence Analytics in Heterogeneous Information Networks ( software download ) SHAPE - Semantic Hash Partitioning for Distributed Processing of big RDF datasets TripleBit - A Fast and Compact RDF Store NEAT - Trajectory Clustering and Spatial Pattern Mining In Memory Computing Systems and Optimizations XMemPod XBigPage FastSwap DAHI MemFlex MemPipe Privacy Preserving Data Analytics Adversarial Deep Learning with Privacy Awareness PPML - Privacy Preserving Machine Learning PrivacyGuard - NSF SaTC Medium: Privacy Preserving Computations in Big Data Clouds Privacy and Security of EHR and eHealth Systems PPN - NSF NetSE Medium: Privacy Preserving Information Networks and Services for eHealthcare Systems and `Applications MedVault - NSF CyberTrust Medium: Ensuring Security & Privacy for Medical Data ) Mobile Internet: Systems, Services, Applications, and Beyond GTMobiSIM - Mobility Simulation and Trace Generator (GTMobiSIM Visualizer ) MobiEyes - Distributed Computing Architecture and Algorithms for Processing Location Queries GeoGrid / GeoCast - Decentralized Service Architecture for Mobile Location-based Information Delivery and Dissemination Location Privacy - Location Privacy in Mobile Computing Systems and Applications Spatial Alarms / mTriggers High Performance Architecture and Models for Scalable Processing of Location Triggers Location based Access Control (LBAC) Secure Location Determination and Verification: Models and Techniques Distributed Computing Systems Research GTPeers - Peer-to-Peer and Grid Computing Research HyperBee / Apoidea / PeerCrawl - Peer-to-Peer Web Crawling and Search SGuard - Secure Guards for Massively Distributed Computing Systems MedVault - Ensuring Security and Privacy for Electronic Medical Records Guarding the Next Internet Frontier: Countering Denial of Information Distributed Data Management and Large Scale Enterprise Services XWrapElite - An Automated Wrapper Generation System for Web Sources XWrapComposer - A Wrapper Generation System for Extracting Information from Multiple Web Pages WebCQ - Continual Queries for Information Monitoring on the Web Privacy-preserving Data Classification using Geometric Transformations Enterprise Workflow and ServiceOriented Computing Privacy Preserving in Data Stream and Event Stream Mining Storage as Service: Architectures and Models for Performance, Failure Resilience, and Security Past Research Projects PeerCQ - Internet Information Monitoring Using a Peer-to-Peer network PeerTrust Trusted Computing in Peer to Peer Systems TrustMe - Anonimity Support in Distributed Trust Management Systems Edge Caching Grid for Dynamic Content Delivery Scientific Data Management and BioComputing VISTA - Effective Cluster Rendering of Very Large Data Sets and an application of VISTA iVIBRATE - Interactive Visualization Based Framework for Clustering Large Datasets BestK : the Critical Clustering Structure in Categorical Datasets Infosphere - Infopipes Technology for Fresh Information Delivery THOR - Deep Web Data Extraction Athena - Web Service Discovery: A Source Biased Approach OpenCQ - Continual Queries for Logistic Applications XWrap Original - A Semi-Automated Wrapper Generation System for Structured or Semi-structured Data Sources Omini - A Fast Object Extraction System for Web Sources AQR - Distributed Query Routing Ginga - Adaptive Query Processing with varying resource availabilities and constraints PageDigest Efficient Encoding Scheme for Web Documents Sdiff - Structurally aware change detection algorithms for HTML and XML documents Context Cube - A Context Aware Methodology for Managing and Accessing Sensor Data - GT Aware Home TAM - Restructuring and Self-Configuring of Transactional Workflow Systems Diorama/DIOM EVOLVE DISIMA Data Mining and Data Warehousing Courses I have taught the following courses from 1999 to present. I have also created the course cs6220 (used to be cs8803 BDS since 2015. CS6220: Big Data Systems and Analytics ( Fall 2018 , Fall 2017 , Fall 2016 , Fall 2015 ) CS6675/CS4675: Advanced Internet Computing Systems and Application Development ( Spring 2019 , Spring 2018 , Spring 2017 , Spring 2016 , Spring 2015 , Spring 2014 , Spring 2013 , Spring 2012 , used to be cs8803 AIA: 2011 , 2010 , 2009 , 2008 , Spring 2007 , Spring 2006 , Spring 2005 , Spring 2004 ) CS4420: Database System Implementation ( Fall 2014 , Fall 2013 , Spring 2013 , Spring 2005 , Spring 2004 , Spring 2003) CS4440: Emerging Database Technologies ( Fall 2009 , Fall 2008 , Fall 2007 ) CS1371: Computing for Engineers ( Spring 2007 ) cs3210 Design of Operating Systems ( 2011 Fall ) CS4400: Introduction to Database Systems ( Spring 2006, Spring 2002, Spring 2000) I have taught the following courses during 1997-1999 at OGI: CSE515 Distributed Computing Systems CSE543/CSE583 Distributed Information Management on the Net I also supervisee A list of cs7001 mini-projects each year. Research Groups Distributed data Intensive Systems Lab ( DiSL ) Systems Research Group Database Research Group Last updated Aug. 18, 2016. Ling Liu (lingliu at cc dot gatech dot edu ) diff --git a/src/data/compiled_bios/45.txt b/src/data/compiled_bios/45.txt new file mode 100644 index 0000000000..99fec3f3e2 --- /dev/null +++ b/src/data/compiled_bios/45.txt @@ -0,0 +1 @@ + people | projects | publications | classes | hci | videos KARRIE G. KARAHALIOS Professor of Computer Science Contact: e-mail: kkarahal@illinois.edu 4228 Siebel Center 201 N. Goodwin Avenue Urbana, Illinois 61801 phone: 1 217 265 6841 Awards: Deans Award for Excellence in Research, University of Illinois, 2017 Adobe Faculty Fellowship, 2015. National Center for Supercomputing Applications (NCSA) Faculty Fellowship, 2015 Public Engagement Award, University of Illinois Campus Award, 2015 Engineering Council Outstanding Advising Award, 2014 Kavli Fellow, 2011 Sloan Research Fellowship, 2010 Harvard Berkman Center for Internet and Society Fellow, 2010 C.W. Gear Outstanding Junior Faculty Award, 2010 CSCW Best Paper Award, 2010 CHI Best Paper Award, 2009 A. Richard Newton Breakthrough Research Award, 2008 CHI Best Paper Award, 2008 NSF Early Career Award, 2007 IBM Young Faculty Award, 2006 Motorola Young Faculty Award, 2005 Courses: Social Spaces - Social (media + signals) cs598kgk Culture as Data - cs598kgk Social Spaces Seminar - cs591kgk Social Computing - Social Visualization - cs467 Multimedia - cs414 Programming Mobile Devices - cs498cel Social Computer Mediated Communication - cs598kgk Selected Papers and Installations : H. Kong, Z. Liu, and K. Karahalios. Internal and External Visual Cue Preferences for Visualizations in Presentations, EuroVis 2017. pdf M. Eslami, K. Vaccaro, K. Karahalios, and K. Hamilton. "Be careful; things can be worse than they appear": Understanding Biased Algorithms and Users' Behavior around Them in Rating Platforms, ICWSM 2017. pdf S. Dey, K. Karahalios, W. Fu. Understanding the Effects of Endorsements in Scientific Crowdfunding, CHI 2017. pdf F. Jahanbakhsh, K. Karahalios, W.T. Fu, D. Marinov, B.P. Bailey. You Want Me to Work with Who? Stakeholder Perceptions of Automated Team Formation in Engineering Courses, CHI 2017. pdf (awarded best paper) M. Betancourt, L. Dethorne, K. Karahalios, and J.G. Kim. Skin Conductance as an In Situ Marker for Emotional Arousal in Children with Neurodevelopmental Communication Impairments: Methodological Considerations and Clinical Implications, ACM Transactions on Accessible Computing (TACCESS) Volume 9, Issue 3 Article No. 8 pdf T. Siddiqui, A. Kim, J. Lee, K. Karahalios, A. Parameswaran. Effortless Data Exploration with Zevisage: An Expressive and Interactive Visual Analytics Systems, VLDB 2017. pdf J. Kulshrestha, M. Eslami, J. Messias, M. B. Zafar, S. Ghosh, K. Gummadi, and K. Karahalios. Quantifying Search Bias: Investigating Sources of Bias for Political Searches in Social Media, CSCW 2017. pdf J.G. Kim, K. Vaccaro, K. Karahalios, and H. Hong. Not by Money Alone: Social Support Opportunities in Medical Crowdfunding Campaigns, CSCW 2017. pdf S. Dey, B. Duff, K. Karahalios, W. Fu. The Art and Science of Persuasion: Not All Crowdfunding Campaign Videos Are The Same, CSCW 2017. pdf M. Eslami, K. Karahalios, C. Sandvig, K. Vaccaro, A. Rickman, K. Hamilton, and A. Kirlik. First I "like" it, then I hide it: Folk Theories of Social Feeds, CHI 2016 . pdf video J. Kim, H. K. Kong, K. Karahalios, W. Fu, and H. Hong. The Power of Collective Endorsements: Credibility Factors in Medical Crowdfunding Campaigns, CHI 2016 . pdf J. Lee, H.K. Kong, S. Lin, K. Karahalios, Plexlines: Tracking Socio-communicative Behaviors Using Timeline Visualizations, AMIA 2016. pdf H. Kong, J. Lee, K. Karahalios. EnGaze: Designing Behavior Visualizations with and for Behavioral Scientists, DIS 2016. pdf G. Soeller, K. Karahalios, C. Sandvig, and C. Wilson. MapWatch: Detecting and Monitoring International Border Personalization on Online Maps, WWW 2016 . pdf L. DeThorne, M. A. Betancourt, K. Karahalios, J. Halle, E. Bogue. Visualizing Syllables: Real-Time Computerized Feedback Within a Speech-Language Intervention, Journal of Autism and Developmental Disorders , 2015. pdf T. Gao, M. Dontcheva, E. Adar, Z. Liu, K. Karahalios. DataTone: Managing Ambiguity in Natural Language Interfaces for Data Visualization, UIST 2015 . pdf video N. Spirin, M. Kuznetsov, J. Kiseleva, Y. Spirin, and P. Izhutov. Relevance-aware Filtering of Tuples Sorted by an Attribute Value via Direct Optimization of Search Quality Metrics, SIGIR 2015 . pdf H. Kong, W. Wu, B. Bailey, and K. Karahalios. Culture, Imagined Audience, and Language Choices of Multilingual Chinese and Korean Students on Facebook, SocInfo 2015 . pdf J. Kim, S. Park, K. Karahalios, and M. Twidale. Labor Saving and Labor Making of Value in Online Congratulatory Messages, SocInfo 2015 . pdf J. Kim, M. Snodgrass, M. Pietrowicz, and K. Karahalios. Visual Analysis of Relationships between Behavioral and Physiological Sensor Data, ICHI 2015 . pdf M. Pietrowicz, M. Hasegawa-Johnson, and K. Karahalios. Acoustic Correlates for Perceived Effort Levels in Expressive Speech, INTERSPEECH 2015 . pdf C. Sandvig, K. Hamilton, K. Karahalios, and C. Langbort. Can an Algorithm be Unethical?, ICA 2015 . pdf M. Eslami, A. Rickman, K. Vaccaro, A. Aleyasen, A. Vuong, K. Karahalios, K. Hamilton, and C. Sandvig. I always assumed that I wasn't really that close to [her]: Reasoning about invisible algorithms in the news feed, CHI 2015 . pdf (awarded best paper) K. Vaccaro, K. Karahalios, C. Sandvig, K. Hamilton, and S. Langbort. Agree or Cancel? Research and Terms of Service Compliance, CSCW , Ethics Workshop, 2015. pdf K. Hamilton, K. Karahalios, C. Sandvig, and C. Langbort. The image of the algorithmic city: a research approach, Interaction Design and Architectures Journal (IxD&A) 2014 . pdf C. Sandvig, K. Hamilton, K. Karahalios, and C. Langbort. Auditing Algorithms: Research Methods for Detecting Discrimination on Internet Platforms, ICA 2014 . pdf N. Spirin, J. He, M. Develin, K. Karahalios, and M.Boucher. People Search within an Online Social Network: Large Scale Analysis of Facebook Graph Search Query Logs. CIKM 2014 . pdf M. Eslami, A. Aleyasen, R. Zilouchian Moghaddam, and K. Karahalios. Friend Grouping Algorithms for Online Social Networks: preference, bias, and implications. Social Informatics (SocInfo) 2014 . pdf S. Huang, D. Tunkelang, and K. Karahalios. The Role of Network Distance in LinkedIn People Search. SIGIR 2014 . pdf K. Hamilton, K. Karahalios, C. Sandvig, and M. Eslami. A Path to Understanding the Effects of Algorithm Awareness, alt-CHI 2014 . pdf M. Kudeki and K. Karahalios. Likeness and Dealbreakers: Interpreting Interpersonal Compatibility from Online Music Profiles. INTERACT 2013 . pdf J. Lee, S. Lin, and K. Karahalios. Visualizing Patterns of Social and Communicative Behavior in Children Using Plexlines. VAHC 2013 . pdf J. Kim, M. Snodgrass, M. Pietrowicz, K. Karahalios, and J. Halle. BEDA: Visual analytics for behavioral and physiological data. VAHC 2013 . pdf M. Pietrowicz, D. Chopra, A. Sadeghi, P. Chandra, B.P. Bailey, and K. Karahalios. CrowdBand: An Automated Crowdsourcing Sound Composition System. HCOMP 2013 . pdf J. Hailpern, M. Danilevsky, A. Harris, S. Sunnah, R. LaBotz, and K. Karahalios. ACES: A Cross-Discipline Platform and Method for Communication and Language Research. CSCW 2013 . pdf J. Hailpern, A. Harris, R. LaBotz, B. Birman, K. Karahalios, L. DeThorne, and J. Halle. Designing Visualizations to Facilitate Multisyllabic Speech with Children with Autism and Speech Delays. DIS 2012 . pdf Tao Dong, Mira Dontcheva, Diana Joseph, Karrie Karahalios, Mark W. Newman, Mark S. Ackerman. Discovery-based Games for Learning Software. CHI 2012 . pdf J. Hailpern, M. Danilevsky, K. Karahalios. ACES: Aphasia Emulation, Realism, and the Turing Test. ASSETS 2011 . pdf Tony Bergstrom and Karrie Karahalios. Distorting Social Feedback in Visualizations of Conversation. HICSS 2012 . pdf Tony Bergstrom, Andrew Harris and Karrie Karahalios. Encouraging Initiative in the Classroom with Anonymous Feedback. INTERACT 2011 . pdf J. Hailpern, M. Danilevsky, A. Harris, K. Karahalios, G. Dell, J. Hengst. ACES: Promoting Empathy Towards Aphasia Through Language Distortion Emulation Software. CHI 2011 . pdf J. Hailpern, N. Jitkoff, A. Warr, K. Karahalios, R. Sesek, N. Shkrob. YouPivot: Improving Recall with Contextual Search. CHI 2011 . pdf Joshua Hailpern, Karrie Karahalios, Laura DeThorne and Jim Halle. VocSyl: Visualizing Syllable Production for Children with ASD and Speech Delay. Extended Abstracts of ASSETS 2010 . pdf Joshua Hailpern, Marina Danilevsky, Karrie Karahalios. Walking in Another's Shoes: Aphasia Emulation Software. Extended Abstracts of ASSETS 2010. pdf Eric Gilbert and Karrie Karahalios. Widespread Worry and the Stock Market. ICWSM 2010 . pdf Joshua Hailpern, Nicholas Jitkoff, Joseph Subida, and Karrie Karahalios. The CLOTHO Project: Predicting Application Utility. DIS 2010 . pdf Eric Gilbert and Karrie Karahalios. Understanding Deja Reviewers. CSCW 2010 . pdf (awarded best paper) Karrie Karahalios and Tony Bergstrom Social Mirrors as Social Signals:Transforming Audio into Graphics. IEEE Computer Graphics and Applications 29(5), September/October 2009. pdf Tony Bergstrom and Karrie Karahalios. Vote and Be Heard: Adding Back-Channel Cues to Social Mirrors. INTERACT 2009 . pdf Hailpern, J., Karahalios, K., Halle, J., DeThorne, L. S. and Coletto. A3: HCI Coding Guideline for Research Using Video Annotation to Assess Behavior of Nonverbal Subjects with Computer-Based Intervention. ACM Transactions on Accessible Computing (TACCESS) Volume 2 , Issue 2 Article No. 8. pdf Eric Gilbert and Karrie Karahalios. Predicting Tie Strength With Social Media. CHI 2009. pdf (awarded best paper) Joshua Hailpern, Karrie Karahalios, Jim Halle. Creating a Spoken Impact: encouraging vocalization through audio visual feedback. CHI 2009 . pdf Tony Bergstrom and Karrie Karahalios. Conversation Clusters: Grouping Conversation Topics through Human-Computer Dialog. CHI 2009 . pdf Eric Gilbert, Tony Bergstrom, and Karrie Karahalios. Blogs are Echo Chambers: Blogs are Echo Chambers. HICSS 2009 . pdf L. S. DeThorne, K. Karahalios, J. Halle, J. Hailpern, and M. Coletto. Computerized feedback to facilitate vocalizations in nonverbal children with autism. American Speech-Language-Hearing Association (ASHA) Annual Convention . November 2008. slides pdf Hailpern, J., Karahalios, K., Halle, J., DeThorne, L. S. and Coletto, M. A3: A Coding Guideline for HCI+Autism Research using Video Annotation. In Proceedings of the ACM SIGACCESS- ASSETS 2008 (Halifax, Canada, 2008). ACM-PRESS, New York, NY, 2008. pdf Joshua Hailpern, Karrie Karahalios, Jim Halle, Laura DeThorne, Mary-Kelsey Coletto. Visualizations: Speech, Language and Autistic Spectrum Disorder. Extended Abstracts of CHI 2008 . pdf Eric Gilbert, Karrie Karahalios and Christian Sandvig. The Network in the Garden: An Empirical Analysis of Social Media in Rural Life. Proc. CHI, 2008. pdf (awarded best paper) Joshua Hailpern, Karrie Karahalios, Laura DeThorne, James Halle. Encouraging Speech and Vocalization in Children with Autistic Spectrum Disorder. Workshop on Technology in Mental Health. CHI 2008 . pdf Tony Bergstrom and Karrie Karahalios. Visualizing Co-located Conversation Feedback. IEEE TableTop2007 . pdf Tony Bergstrom and Karrie Karahalios. Seeing More: Visualizing Audio Cues. Proceedings of INTERACT 2007 . pdf Tony Bergstrom, Karrie Karahalios and John C. Hart. Isochords: Visualizing Structure in Music. Proceedings of Graphical Interfaces 2007 . pdf Karrie Karahalios, Tony Bergstrom, Matthew Yapchaian. The ISEA Chit Chat Club. Ginger - An Installation. ISEA c4f3 2006 . San Jose, CA. Karrie Karahalios and Kelly Dobson. Chit Chat Club: Bridging Virtual and Physical Space for Social Interaction. ACM Conference on Human Factors in Computing. 2005 . pdf diff --git a/src/data/compiled_bios/450.txt b/src/data/compiled_bios/450.txt new file mode 100644 index 0000000000..dbc81b524f --- /dev/null +++ b/src/data/compiled_bios/450.txt @@ -0,0 +1 @@ +Home Contact About Me Biography Awards & Honours Vitae My Paintings Research Current Interests Projects Groups DANTE COSBY Software Collaborations Grants Talks & Panels Snippets Publications Selected By Area Data Management Data Analytics Computational Social Science Computational Systems Biology By Type Conferences Journals Workshops Books & Book Chapters Abstracts Unpublished Proceedings/Editorials My Citation Index DBLP Server (Thanks to Michael Ley) PubMed Ranking of Conferences/Journals Conference or Journal? Services Research Program Committees Membership Conference/Workshop Organizer Journal Editorial Board Membership Journal Reviewer Administration Teaching Students Undergraduate Students Graduate Students/Research Staff Career Opportunities List of Present and Past Graduate Students and Research Staffs Criteria for Thesis Submission Some Advices Reference Letters Academic Link Home What's New Multiple research positions (1 Post Doc, 1 Research Assistant) in the following areas are available: data management and AI . Please see details here . Our latest book entitled Human Interaction with Graphs: A Visual Querying Perspective is available now ! You can order it now from Morgan & Claypool Publishers . We greatly appreciate Prof H V Jagadish for writing the foreward for this book. You can order our book entitled Summarizing Biological Networks (Computational Biology series, Springer-Verlag) by visiting the website. More than 3000 copies have been downloaded DANTE members are honored to be invited by SIGMOD Record to author an article on their research . Our mobile tweet summarization paper is accepted in JASIST . Our work on visual exploratory graph search and visual query autocompletion are accepted in ICDE 2019 as short and demo papers, respectively . Our CATAPULT framework that challenges the conventional wisdom of visual graph query interface construction is accepted in SIGMOD 2019 . Sourav S Bhowmick | XHTML 1.0 | CSS 2.0 diff --git a/src/data/compiled_bios/4500.txt b/src/data/compiled_bios/4500.txt new file mode 100644 index 0000000000..ac41cce3e1 --- /dev/null +++ b/src/data/compiled_bios/4500.txt @@ -0,0 +1 @@ + Milena Mihail Associate Professor College of Computing Georgia Institute of Technology Ph.D., Computer Science, Harvard University , 1989 Diploma, Electrical Engineering, National technical University of Athens , 1984 Supported by NSF CCF/TF-0830683. Previously supported by NSF ITR-0220343 and CCF-0539972. Research Interests Theory: Randomized Algorithms, Markov chain Monte Carlo Method, Spectral Graph Theory. Networking: Algorithms and Models for the Internet, WWW, Content Distribution Networks, Social Online Communities, and other Complex Networks. Workshop on Complex Networks and their Applications January 2007. The Web Science Initiative at Georgia Tech . Recent program committes: STOC 2007, EC 2007, WAW 2007, SODA 2008, FOCS 2009 (local arrangements). Vita, Research Statement, Recent Talks Vita, February 2007 Research Statement Complex networks: Connectivity and Functionality , an invited talk given at the NSF Workshop on the Theory of Networked Computation, Berkeley, March 15-16, 2006. Erdos and the Internet , an invited talk given at Paul Erdos Lecture Series 2006 Memphis, March 24-25, 2006. Algorithmic Performance in Complex Networks , a talk given at M.I.T. Algorithms and Complexity Seminar on May 18th, 2006. Models for Social Networks , an informal talk given for the Georgia Tech Web Science Initiative biweekly tea meetings, on February 29, 2008. Flexible Models for Complex Networks , SIAM Annual Conference on Discrete Mathematics Invited Lecture, June 2008. Selected Articles on Markov Chains, Expanders, Spectra, and Randomization ``Conductance and Convergence of Markov Chains: A Combinatorial treatment of Expanders'', FOCS 89, pp 526-531. ``Polytopes, Permanents, and Graphs with Large Factors'', FOCS 88, pp 412-421, (together with P. Dagum, M. Luby , and U. Vazirani ). ``On Coupling and the Approximation of the Permanent'', Information Processing letters, 30-1989, pp 91-95. ``Balanced Matroids'' , STOC 92, pp 26-38, (together with T. Feder ). ``On the Expansion of Combinatorial Polytopes'', Invited Paper, LNCS Vol. 629, Springer-Verlag, 1992, pp 37-49. ``On the Number of Eulerian Orientations of a Graph'' , SODA 92, also Invited in Algorithmica Special Issue on Randomized Algorithms, 1996, 16, pp 402-414, (together with P. Winkler ). ``On the Random Walk Method for Protocol Testing'' , Comp. Aided verification (CAV) 94, LNCS Vol. 818, 1994, pp 132-141 (together with C.H. Papadimitriou ). ``Monte Carlo and Markov Chain Simulation Techniques for network reliability and for Sampling'', Networks, Special issue on Network Reliability, Vol 28, No 3, 1995, pp 117-130, (together with A. Buchsbaum ). ``Learning the Fourier Spectrum of Probabilistic Lists and Trees'' , SODA 91, pp 291-299, (together with W. Aiello ). ``Randomized Algorithms'', Chapter 16.6, Handbook of Discrete and Combinatorial mathematics , Editor J.L. Gross , CCR Press, 1999. Selected Articles on Network Design ``A Primal-Dual Approximation Algorithm for Generalized Steiner Network Problems'' , STOC 93, pp 708-717, also in Combinatorica 15 (1995), pp 435-454, (together with D. Williamson , M. Goemans , and V. Vazirani ). Chosen as paper of impact by the 1993 STOC program committee. ``A Commercial Application of Steiner Network Design: Common Channel Signaling (ITP/INPLANS CCS) Network Topology Analyzer'' , SODA 96, pp 548-557, (together with D. Shallcross, N. Dean , and M. Mostrel). ``Covering Problems with Requirements and Costs Evolving Over Time'' , RAND-APPROX 99, Berkeley, CA 1999. ``Efficient Access to Optical Bandwidth: Wavelength Routing on Directed Fiber Trees, Rings, and Trees of Rings'' , FOCS 95, pp 548-557, (together with C. Kaklamanis, and S. Rao ). ``Optimal Wavelength Routing on Directed Fiber Trees'', Theoretical Computer Science 221, 1999, pp 119-137, (together with T. Erlebach , C. Kaklamanis, and P. Persiano ). ``WDM Network Economics Sensitivities'', National Fiber Optic Engineers Conference 1997, Vol 1, pp 105-116, (together with K. Bala , R. Cardwell, H. Kobrinski, and O. Wasem). ``Hierarchical Design of WDM Optical networks for ATM Transport'', GLOBECOM 95, pp 2188-2194, (together with K. Bala , and S.V. Jagannath). ``Monte Carlo and Markov Chain Simulation Techniques for network reliability and for Sampling'', Networks, Special issue on Network Reliability, Vol 28, No 3, 1995, pp 117-130, (together with A. Buchsbaum ). ``Computing Spanning Trees in NETPAD'', DIMACS Series in Discrete Mathematics and Theoretical Computer Science Vol 15 1994, pp 85-98, (together with Keh-Wei Lih and Nate Dean). Selected Articles on Networking and on Large Scale Data (Click here for the Internet topology data that I work with.) ``Flexible Models for Complex Networks'' Center for Algorithms Randomness and Computation, October 2008, (together with Y. Amanatidis and B. Green). ``Approximating Betweeness Centrality'' in WAW 2007, (together with D.Bader, S. Kintali and K. Madduri). ``Towards Topology Aware Networks'' , in INFOCOM 2007, minisymposium, (together with C. Gkansidis, G. Goel and A. Saberi). ``A Local Exchange Markov chain on Graphs with Given Degrees and Application in Connectivity of Peer-to-Peer Networks'' , in FOCS 2006, (together with T. Feder, A. Guetz and A. Saberi). ``Random Walks with Lookahead in Power Law Random Graphs'' , to appear in Internet Mathematics(2006), (together with A. Saberi and P. Tetali ). ``Hybrid Search Schemes for Unstructured Peer-to-Peer Networks'' , INFOCOM 2005, (together with C. Gkantsidis and A. Saberi ). ``On Certain Connectivity Properties of the Internet Topology'' , FOCS 2003, also JCSS special issue on FOCS 2003, (together with C. Papadimitriou and A. Saberi ). Click here for related power point presentation. ``On the Random Walk method in Peer-to-Peer Networks'' , INFOCOM 04, also in International Journal on Performance Evaluation, (together with C. Gkantsidis and A. Saberi ). ``Conductance and Congestion in Power Law Graphs'' , SIGMETRICS 2003, (together with C. Gkantsidis and A. Saberi ). ``On the Eigenvalue Power-Law'' , RANDOM 02, Harvard, MA, 2002 (together with C. Papadimitriou ). Click here for power point presentation. ``Spectral Analysis of Inetrnet Topologies'' , INFOCOM 03, also to appear in Transactions on Networking, (together with C. Gkantsidis , and E. Zegura ). Abstract in Dimacs Workshop on Internet and WWW Measurement, Mapping and Modeling , Feb 13-15 '02, and IPAM Workshop March 18-22 '02 on Large Scale Communication Networks . Click here for power point presentation. ``On Generating Graphs with Prescribed Degree Sequences for Complex Network Modeling Applications'' , Position Paper, ARACNE (Approx. and Randomized Algorithms for Communication Networks) 2002, Rome, IT, 2002 (together with N. Vishnoi ). ``The Markov Chain Simulation Method for Generating Connected Power Law Random Graphs'' , Alenex 2003, (together with C. Gkantsidis , and E. Zegura ). ``On the Semantics of Internet Topologies'' , submitted, (together with C. Gkantsidis , A. Saberi , and E. Zegura ). Abstract in Dimacs Workshop on Internet and WWW Measurement, Mapping and Modeling , Feb 13-15 '02, and IPAM Workshop March 18-22 '02 on Large Scale Communication Networks. ``Caching with Expiration Times'' , SODA 02, also in Internet Mathematics, (together with P. Gopalan , H. Karloff , A. Mehta , and N. Vishnoi ). ``On the Complexity of the View Selection Problem'' , PODS 99, pp 167-173, (together with H. Karloff ). Ph.D. Students: Amin Saberi (joint with Vijay Vazirani), PhD in theory (ACO program) June 04. Currently Assistant Professor at Stanford University. Thesis Title: "Algorithmic Aspects of Complex Comminication Networks" Christos Gkantsidis , PhD in networking Dec 05. Currently at Microsoft Research, Systems and Networking Group, Cambridge, England. Some recent publicity at the Seattle Times . Thesis Title: "Algorithmic Performance of Large Scale Distributed Networks: A Spectral Method Approach" Stephen Young , PhD in mathematics (ACO program), Nov 08. Thesis Title: "Random Dot Product Graphs: A Flexible Model for Complex Networks" . Giorgos Amanatidis, 4th year, PhD in mathematics (ACO program). Working on Graph Theoretic Aspects of Flexible Internet Models. Bradley Green, 3rd year PhD in mathematics (ACO program). Working on Graphs Theoretic Aspects of Flexible Internet Models, and on Network Formation Games. Fall 2011 Courses CS2050, Fall 2011 Intro Discrete Math for Comp Sci. Recent Courses CS7520, Spring 2011 Approximation Algorithms. CS4540, Fall 10 Advanced Algorithms CS4540, Fall 09 Advanced Algorithms CS8802, Spring 05 , Algorithms for Complex Networks. CS1050A, Fall 08 , Constructing Proofs. CS7520 Spring 08 , Approximation Algorithms. CS4803 Fall 08 , WWW: Science, Technology and Applications. And ... recent courses auditing from Harnard Extension School : ENGL-130 Shakespeare and Modern Culture, Fall 08 , ENGL-196 American Protest Literature from Tom Paine to Tupac, Fall 08 . Selected Personal Pointers Younger ones: Michel, 02 , 04 , 07 , Lazos 07 , similar ones: early 90s , and older ones: Instead of Memorial . Collaze: A Preface , a POEM , another Poem , a course , ladies in hats (I) and (II) , NY , did you know? Of National Anthems Paeania (a.k.a. Peania or Paiania): snapshots from my desk and my desktop, apparently spanning three millenia. (1)In the antiquity Paeania was a ``demos'' (meaning group of people, same root as ``democracy'') belonging to the larger urban area of Athens. Here are some references: Plato , with some more text . Aristotle , and more text . Pausanias . (2)Here are some pictures taken between 1939 and 1944. (3)Today in Paeania there is major telecommunications and software industry, namely Intracom and the Athens Information Technology Research Center , the Alpha , Antenna and Mega TV channels, the Panathinaikos sports club, and, most recently, the new Athens International Airport . One can also visit the Vorres Museum (which used to have a Web site but apparently not anymore), and an Ornamental Stone Laboratory . Here the Wikipedia information for Paeania. Here is Paeania's own web site (in Greek) . 2138 Klaus Building 266 Ferst Drive Georgia Institute of Technology Atlanta, Georgia 30332-0765 Phone: 404-385-0617 mailto:mihail@cc.gatech.edu diff --git a/src/data/compiled_bios/4501.txt b/src/data/compiled_bios/4501.txt new file mode 100644 index 0000000000..dd6ba02a34 --- /dev/null +++ b/src/data/compiled_bios/4501.txt @@ -0,0 +1 @@ + Show Menu Home Teaching Foundations of Fairness in Machine Learning (Fall 2018) Design and Analysis of Algorithms (Spring 2018) Principles of Imperative Computation (Su 2012) Publications Workshops/Tutorials AGT + Data Science, EC 2016 Dagstuhl 2017 Service Jamie Morgenstern Assistant Professor in the School of Computer Science at Georgia Tech Office: 2136 Klaus Email: 'jamiemmt' 'dot' 'cs' 'at' 'gatech' 'dot' 'edu' I am an assistant professor in the School of Computer Science Georgia Tech. Prior to this appointment, I was fortunate to be hosted by Michael Kearns , Aaron Roth , and Rakesh Vohra as a Warren Center fellow at the University of Pennsylvania. I completed my PhD working with Avrim Blum at Carnegie Mellon University. I study the social impact of machine learning and the impact of social behavior on ML's guarantees. How should machine learning be made robust to behavior of the people generating training or test data for it? How should ensure that the models we design do not exacerbate inequalities already present in society? Service I'm excited to serve as general cochair for FAT* 2019 , which will take place in Atlanta! For 2018, I'm on the PC for EC, ICML, FAT*, WWW, and ALT. In 2017, I was on the PC for EC, ICML, NetEcon, and FAT/ML. I also served on the EC PC in 2016. Funding I have been fortunate to be supported by the Simons Award for Graduate Students in Theoretical Computer Science (2014-2016), an NSF GFRP fellowship, as well as the Microsoft Research Graduate Women's Scholarship. Working papers Datasheets for Datasets I'm very excited about a project I've been working on with Timnit Gebru, Briana Vecchione, Jennifer Wortman Vaughn, Hanna Wallach, Hal Daume III, and Kate Crawford. We're proposing transparency and standardization of the documentation accompanying datasets. The working paper is here! Thesis Ph.D , Market Algorithms: Incentives, Learning, and Privacy (Defended May 2015) Original CMU Tech Report (Not updated for typos) Publications NIPS 2018 The Price of Fair PCA: One Extra Dimension. Samira Samadi, Uthaipon Tantipongpipat, Mohit Singh Jamie Morgenstern, and Santosh Vempala. NIPS 2018 A Smoothed Analysis of the Greedy Algorithm. Sampath Kannan, Jamie Morgenstern, Aaron Roth, Bo Waggoner, and Steven Wu. ICML 2017 Fair Learning in Markovian Environments. Shahin Jabbari, Matthew Joseph, Michael Kearns, Jamie Morgenstern, and Aaron Roth. EC 2017 Fairness Incentives for Myopic Agents. Sampath Kannan, Michael Kearns, Jamie Morgenstern, Mallesh Pai, Aaron Roth, Rakesh Vohra, and Zhiwei Steven Wu. arxiv WINE 2016 Strategic Network Formation with Attack and Immunization Sanjeev Goyal, Shahin Jabbari, Michael Kearns, Sanjeev Khanna, Jamie Morgenstern. arxiv NIPS 2016 Fairness in Learning: Classic and Contextual Bandits. Matthew Joseph, Michael Kearns, Jamie Morgenstern, and Aaron Roth. arxiv EC 2016 Simple Mechanisms for Agents with Complements Michal Feldman, Ophir Friedler, Jamie Morgenstern, Guy Reiner arxiv COLT 2016 Learning Simple Auctions Jamie Morgenstern, Tim Roughgarden arxiv STOC 2016 Do Prices Coordinate Markets? (short version) Justin Hsu, Jamie Morgenstern, Ryan Rogers, Aaron Roth, Rakesh Vohra arxiv NIPS 2015 The Pseudo-Dimension of Nearly Optimal Auctions Selected for a spotlight presentation, along with 3.6% of submissions. Jamie Morgenstern and Tim Roughgarden arxiv EC 2015 Private Pareto-Optimal Exchange Sampath Kannan, Jamie Morgenstern, Ryan Rogers, and Aaron Roth arxiv EC 2015 Simple Auctions with Simple Strategies Nikhil Devanur, Jamie Morgenstern, Vasilis Syrgkanis, S. Matthew Weinberg EC 2015 Learning What's Going On: Reconstruction Preferences and Priorities from Opaque Transactions Avrim Blum, Yishay Mansour, Jamie Morgenstern arxiv IJCAI 2015 Impartial Peer Review David Kurokawa, Omer Lev, Jamie Morgenstern, Ariel Procaccia SODA 2015 Approximately Stable, School Optimal, and Student-Truthful Many-to-One Matchings (via Differential Privacy) Sampath Kannan, Jamie Morgenstern, Aaron Roth, Steven Wu arxiv AAAI 2015 Learning Valuation Distributions from Partial Observation Avrim Blum, Yishay Mansour, Jamie Morgenstern arxiv ITCS 2015 Privacy-preserving Public Information in Sequential Games Avrim Blum, Jamie Morgenstern, Ankit Sharma, Adam Smith arxiv AAAI 2013 How Bad is Selfish Voting? Simina Brnzei, Ioannis Caragiannis, Jamie Morgenstern, Ariel D. Procaccia COSN 2013 Hierarchical community decomposition via oblivious routing techniques William Sean Kennedy, Jamie Morgenstern, Gordon Wilfong, Lisa Zhang APPROX 2012 Additive Approximation for Near-Perfect Phylogeny Construction Pranjal Awasthi, Avrim Blum, Jamie Morgenstern, Or Sheffet AAAI 2012 On Maxsum Fair Cake Divisions Steven J. Brams, Michal Feldman, John K. Lai, Jamie Morgenstern, Ariel D. Procaccia STM 2011 A proof-carrying File system with Revocable and Use-once Certificates (Conference on Security and Trust Management) Jamie Morgenstern, Deepak Garg, Frank Pfenning ICFP 2010 Security-typed Programming Within Dependently Typed Programming Jamie Morgenstern, Dan Licata diff --git a/src/data/compiled_bios/4502.txt b/src/data/compiled_bios/4502.txt new file mode 100644 index 0000000000..a5025f8b3e --- /dev/null +++ b/src/data/compiled_bios/4502.txt @@ -0,0 +1 @@ + | Home | Publications | Students | Teaching | Curriculum Vit | Software | Public Key | Alessandro (Alex) Orso Professor and Associate School Chair College of Computing - School of Computer Science Georgia Institute of Technology Office: KACB 2342 Klaus Advanced Computing Building Georgia Institute of Technology 266 Ferst Drive Atlanta, GA 30332-0765 Phone: +1-404-385-2066 Fax: +1-404-385-3157 Email: [ vcard ] che li taglia corti. - Antonia Bertolino Settle down, focus, catch up. - Josh Kornbluth Take your job seriously, but don't take yourself too seriously. - Alex Trebek Bio : Alessandro Orso is a Professor in the College of Computing at the Georgia Institute of Technology. He received his M.S. degree in Electrical Engineering (1995) and his Ph.D. in Computer Science (1999) from Politecnico di Milano, Italy. From March 2000, he has been at Georgia Tech. His area of research is software engineering, with emphasis on software testing and program analysis. His interests include the development of techniques and tools for improving software reliability, security, and trustworthiness, and the validation of such techniques on real-world systems. Dr. Orso has received funding for his research from both government agencies, such as DARPA and NSF, and industry, such as Fujitsu Labs, Google, IBM, and Microsoft. He served on the editorial boards of ACM TOSEM and on the Advisory Board of Reflective Corp, served as program chair for ACM-SIGSOFT ISSTA 2010 and program co-chair for IEEE ICST 2013 and ACM-SIGSOFT FSE 2014, and will serve as program co-chair for ACM-SIGSOFT/IEEE ICSE 2017. He has also served as a technical consultant to DARPA. Dr. Orso is a senior member of the ACM and of the IEEE Computer Society. | Home | Publications | Students | Teaching | Curriculum Vit | Software | Public Key | HTML style by Antonio Carzaniga Updated by Alex Orso on October 07, 2017 at 06:38:12.0000000000 EDT diff --git a/src/data/compiled_bios/4503.txt b/src/data/compiled_bios/4503.txt new file mode 100644 index 0000000000..96d1d2bc7f --- /dev/null +++ b/src/data/compiled_bios/4503.txt @@ -0,0 +1 @@ + Prof. Santosh Pande Search this site Navigation Home Courses Select Publications Software/Patent Patent Students Recent/Important Papers Compiler Assisted Load Balancing on Large Clusters. PACT 2015 Multiverse: Efficiently Supporting Distributed High-Level Speculation: OOPSLA 2013 Enabling Speculative Parallelization via Merge Semantics in STMs: TRANSACT 2013 Hybrid Transactions: Lock Allocation and Assignment for Irrevocability: Published in IPDPS 2012 Safe compiler-driven transaction checkpointing and recovery: Published in OOPSLA 2012 Input-driven dynamic execution prediction of streaming applications, PPoPP 2010 Home Address: School of Computer Science Klaus Advanced Computing Building Georgia Tech 266 Ferst Drive Atlanta, GA 30332-0765 Voice: (+1) (404) 385 2169 Fax: (+1) (404) 385 2295 E-mail: santosh at cc.gatech.edu Santosh Pande's primary interest is in investigating static and dynamic compiler optimizations on evolving architectures. His research philosophy involves tackling practical problems which are relevant and important to the current issues in systems research and propose foundational solutions to them for good impact. Currently, his research is focussed on software security: solving the problems of software debloating (project Demand Driven Linking) and model based program analysis and optimizations (project MIR). His past work in security provided solutions to many important problems such as: preventing information leakage on address bus and side channel attack, secret sharing of values for obfuscation and recovery, dynamic monitoring of control flow and memory integrity, and secure program patitioning on smart cards. His current research is also focussed on developing compiler optimizations related to high performance clusters to accelerators to embedded and configurable systems to improve execution speed, code size, efficiency and power consumption and on Compiler/OS interactions for high performance scheduling. In past, his work in this area has resulted in several techniques for efficient compilation given limited memory sizes, limited addressing modes and data paths on embedded processors. He has also developed unified framework for mapping loops on configurable processors combining issues of parallelism, data re-use and reconfiguration overheads for modern processors such as Xilinx 6200 and Virtex series. He has published over 100 papers in journals and conferences which include ACM Programming Language Design and Implementation (PLDI), OOPSLA (Object Oriented Programming for Systems, Languages and Applications), PPoPP (Principles and Practice of Parallel Programming), IEEE Real Time Systems Symposium (RTSS) and TOPLAS (ACM Trans. on Prog. Lang. and Systems), Journal of Parallel and Distributed Computing (JPDC) and IEEE Transactions on Parallel and Distributed Systems (TPDS). He has also done extensive compiler development in real world and founded a start-up called Coreopsys Software Labs, Inc. He has also managed and delivered large scale software projects to the funding agencies such as DARPA. H e holds a patent jointly with Infineon, Inc. in both North America and Europeon secure application partitioning on smartcards. He has released several software systems in the open source prominent amongst these are GLIMPSES and AUTOPORT. Over the years, h is research is supported by NSF, DARPA, ONR, IBM, Sony, Toshiba, Samsung and Greenhills Software. Looking for motivated PhD students: I am looking for strong, driven students who are interested in the topic of dynamic program analysis, verification and optimization related to my new projects (sponsored by Office of Naval Research (ONR)). Please send me e-mail in case you are interested and we can discuss more. Demand driven Debloating: Reduction of attack surface of linked components/libraries that provide a back-door to an application. Many novel dynamic analyses and optimizations are thought of that lead to precise but low overhead techniques that allow dynamic determination and optimization of needed components in a demand driven manner. MIR (Model based IR): Goal is to facilitate efficient model checking and/or optimization tackling the problem of state space explosion, by developing new analyses and representations that combine abstract and concrete properties of software. Sign in | Recent Site Activity | Report Abuse | Print Page | Powered By Google Sites diff --git a/src/data/compiled_bios/4504.txt b/src/data/compiled_bios/4504.txt new file mode 100644 index 0000000000..8467c51304 --- /dev/null +++ b/src/data/compiled_bios/4504.txt @@ -0,0 +1 @@ + Paul Pearce Assistant Professor School of Computer Science pearce@gatech.edu About Me I am an Assistant Professor focusing on network security and measurement starting Fall 2019. I obtained my PhD in Computer Science from UC Berkeley under Vern Paxson in 2018, sticking around after my MS and BS degrees. [ CV ] [ Google Scholar ] Publications Global Measurement of DNS Manipulation , 26th USENIX Security Symposium (USENIX 2017). Paul Pearce, Ben Jones, Frank Li, Roya Ensafi, Nick Weaver, Nick Feamster, Vern Paxson. [Paper] [Talk] Characterizing the Nature and Dynamics of Tor Exit Blocking , 26th USENIX Security Symposium (USENIX 2017). Rachee Singh, Rishab Nithyanand, Sadia Afroz, Paul Pearce, Michael Carl Tschantz, Phillipa Gill, Vern Paxson. [Paper] Augur: Internet-Wide Detection of Connectivity Disruptions , 38th IEEE Symposium on Security and Privacy (Oakland 2017). Paul Pearce, Roya Ensafi, Frank Li, Nick Feamster, Vern Paxson. [Paper] To Catch a Ratter: Monitoring the Behavior of Amateur DarkComet RAT Operators in the Wild , 38th IEEE Symposium on Security and Privacy (Oakland 2017). Brown Farinholt, Mohammad Rezaeirad, Paul Pearce, Hitesh Dharmdasani, Haikuo Yiny, Stevens Le Blond, Damon McCoy, Kirill Levchenko. [Paper] [Talk] Ad Injection at Scale: Assessing Deceptive Advertisement Modifications , 36th IEEE Symposium on Security and Privacy (Oakland 2015). Distinguished Practical Paper Kurt Thomas, Elie Bursztein, Chris Grier, Grant Ho, Nav Jagpal, Alexandros Kapravelos, Damon McCoy, Antonio Nappa, Vern Paxson, Paul Pearce, Niels Provos, Moheeb Abu Rajab. [Paper] [Talk] Characterizing Large-Scale Click Fraud in ZeroAccess , 21st ACM Conference on Computer and Communications Security (CCS 2014). Paul Pearce, Vacha Dave, Chris Grier, Kirill Levchenko, Saikat Guha, Damon McCoy, Vern Paxson, Stefan Savage, Geoffrey M. Voelker. [Paper] [Talk] The ZeroAccess Auto-Clicking and Search-Hijacking Click Fraud Modules , Technical report, EECS Department, University of California, Berkeley, Dec 2013. Paul Pearce, Chris Grier, Vern Paxson, Vacha Dave, Damon McCoy, Goeffrey M. Voelker, and Stefan Savage. [Paper] AdDroid: Privilege Separation for Applications and Advertisers in Android , 7th ACM Symposium on Information, Computer and Communications Security (ASIACCS 2012). Paul Pearce, Adrienne Porter Felt, Gabriel Nunez, David Wagner. [Paper] [Talk] Whats Clicking What? Techniques and Innovations of Todays Clickbots , 8th Conference on Detection of Intrusions and Malware & Vulnerability Assessment (DIMVA 2011). Brad Miller, Paul Pearce and Chris Grier, Christian Kreibich, Vern Paxson. [Paper] [Talk] Resource Management in the Tessellation Manycore OS , 2nd USENIX Workshop on Hot Topics in Parallelism (HotPar '10). Juan A. Colmenares, Sarah Bird, Henry Cook, Paul Pearce, David Zhu, John Shalf, Krste Asanovic, and John Kubiatowicz. [Paper] Abstractions for Scalable Operating Systems on Manycore Architectures , Work-In-Progress, Poster, 22nd ACM Symposium Operating Systems Principles (SOSP '09). Kevin Klues, Barret Rhoden, David (Yu) Zhu, Paul Pearce, Eric Brewer, John Kubiatowicz. [Paper] Invited Journal and Magazine Articles Towards Continual Measurement of Global Network-Level Censorship , IEEE Security & Privacy Magazine, 2018 Special Issue. Paul Pearce, Roya Ensafi, Frank Li, Nick Feamster, Vern Paxson. [Paper] Global Measurement of DNS Manipulation , USENIX ;login:, Winter 2017. Paul Pearce, Ben Jones, Frank Li, Roya Ensafi, Nick Weaver, Nick Feamster, Vern Paxson. [Paper] Teaching I've guest lectured on Internet Freedom for Vern Paxson's undergraduate security course and Malware for David Wagner's. Spring 2013 I was a GSI for CS161 with Vern Paxson, for which I was awarded the CS Outstanding Graduate Student Instructor Award . My evaluation results are available here . During Summer 2010 I was the instructor for CS61C, a sophomore level CS class here at UC Berkeley. The course website complete with lectures etc is here . You can find my student evaluation results here . I was a GSI also for CS61C during Summer 2009 . From Fall 2009 through Spring 2010 I was a member of the UC Berkeley EECS Undergraduate Study Committee . Distinctions 2014 CS Outstanding Graduate Student Instructor Award . NSF Graduate Research Fellowship Honorable Mention, Operating Systems and Middleware, 2011 . UC Berkeley Eugene L. Lawler Prize . UC Berkeley Fong Family Award . Life I am an avid Cal Football fanatic. I've bowled since I was 9, and carry an average in the 180s (high game is 289, darn 10 pin). While an undergraduate I initiated at the Mu Chapter of Eta Kappa Nu , the national EECS honor society. I am a proud product of the California Community College system, having attended both Chaffey and Mount San Antonio colleges. New! I'm now really into aquariums. PowerPoint source to my slides are available upon request. diff --git a/src/data/compiled_bios/4505.txt b/src/data/compiled_bios/4505.txt new file mode 100644 index 0000000000..f5d83a43a8 --- /dev/null +++ b/src/data/compiled_bios/4505.txt @@ -0,0 +1 @@ + Richard Peng () Assistant Professor, Georgia Institute of Technology 2144 KACB, 266 Ferst Drive, Atlanta, GA 30332 rpeng@cc.gatech.edu , 404-385-4312 Home Talks Research Publications Teaching Service NOTE: if you are contacting me for research related purposes, please try richard.peng@gmail.com for faster response times. However, due to school policies, I cannot communicate with students in my classes using this email address. I am an assistant professor in the School of Computer Science at the Georgia Institute of Technology. My research interests are in the design, analysis, and implementation of efficient algorithms. These interests currently revolve around problems induced by practice that arise at the intersection of discrete, numerical, and randomized algorithms, and my representative results include solvers graph-structured linear systems, nearly-linear time algorithms for approximating max-flows/min-cuts, and time/space efficient data strutures for matchings, resistances, and matrices. ( Research , Publications , Talks ) At Georgia Tech I'm part of the Algorithms and Randomness Center and the Algorithms, Combinatorics, and Optimization program. Before Georgia Tech, I received my BMath from Waterloo, PhD from CMU, and was an Instructor in Applied Math (equiv. to postdoc) at MIT. I had a visiting professor appointment at the Institute for Theoretical Computer Science at the Shanghai University of Finance and Economics between 2016 - 2018, and during the first half of 2019 I will be a visitig researcher in the Machine Learning and Optimization Group at Microsoft Research Redmond. I'm also extensively involved with algorithmic problem solving based outreach activities, including problem setting for the International Olympiad in Informatics , and helping with the DMOJ Online Judge and the ByteDance Winter Camp in advisory roles. ( CV ) Recent Activities October 2018: co-organized with Sushant Sachdeva a workshop, Laplacian Paradigm 2.0 , at FOCS 2018. June 2018: Article by GT College of Computing on recent works on solving structured linear systems. June 2018: co-organized Dagstuhl Seminar High-Performance Graph Algorithms with Henning Meyerhenke , Ali Pinar , and Ilya Safro . Current Students Yu Gao, Fall 2017 - present Saurabh Sawlani , Fall 2016 - present Former Students David Durfee , Fall 2015 - Fall 2018. Peng Zhang , PhD Fall 2015 - Summer 2018, postdoc at Yale University 2018 - present. diff --git a/src/data/compiled_bios/4506.txt b/src/data/compiled_bios/4506.txt new file mode 100644 index 0000000000..a8a8cb8f7e --- /dev/null +++ b/src/data/compiled_bios/4506.txt @@ -0,0 +1 @@ + Milos Prvulovic Professor School of Computer Science, College of Computing Georgia Institute of Technology KACB 2332 266 Ferst Dr Atlanta, GA 30332-0280 Teaching Spring 2017: OMS CS 6290 - High Perfomance Computer Architecture Fall 2017: OMS CS 6290 - High Perfomance Computer Architecture Fall 2017: CS 4290/6290 - High Perfomance Computer Architecture (cross-listed as ECE 4100/6100) For classes from prior semesters, click here Research Interests Computer architecture with emphasis on support for runtime program monitoring, debugging, and security analysis, as well as hardware performance modeling and security. Publications M. Alam, H. A. Khan, M. Dey, N. Sinha, R. Callan, A. Zajic, and M. Prvulovic , One&Done: A Single-Decryption EM-Based Attack on OpenSSLs Constant-Time Blinded RSA , 37th USENIX Security Symposium , August 2018.( Paper PDF and Presentation Slides ) EDDIE: EM-Based Detection of Deviations in Program Execution Alireza Nazari , Nader Sehatbakhsh , Monjur Alam , Alenka Zajic , Milos Prvulovic ISCA '17 Proceedings of the 44th Annual International Symposium on Computer Architecture,2017 frames are not supported A. Zajic, M. Prvulovic , and D. Chu, Path Loss Prediction for Electromagnetic Side-Channel Signals , Proceedings of the 10th European Conference on Antennas and Propagation (EuCAP) , April 2017.( PDF ) M. Prvulovic , A. Zajic, R. L. Callan, and C. J. Wang, A Method for Finding Frequency-Modulated and Amplitude-Modulated Electromagnetic Emanations in Computer Systems , IEEE Transactions on Electromagnetic Compatibility (TEMC) , Pages 34-42, Vol. 59, No. 1, February 2017. ( IEEE Xplore , PDF ) N. Sehatbakshsh, R. Callan, M. Alam, M. Prvulovic , and A. Zajic, Leveraging Electromagnetic Emanations for IoT Security , Hardware Demo atIEEE International Symposium on Hardware Oriented Security and Trust(HOST) , May 1-5, 2017. Won 2nd place in HOST Hardware Demo Competition. ( PDF ) N. Sehatbakhsh, A. Nazari, A. Zajic, and M. Prvulovic , Spectral Profiling: Observer-Effect-Free Profiling by Monitoring EM Emanations , Proceedings of the 49th ACM/IEEE International Symposium on Microarchitecure (MICRO) , October 2016. Best paper award. ( IEEE Xplore , PDF ) Zero-overhead profiling via EM emanations Robert Callan , Farnaz Behrang , Alenka Zajic , Milos Prvulovic , Alessandro Orso ISSTA 2016 Proceedings of the 25th International Symposium on Software Testing and Analysis,2016 frames are not supported C. Wang, R. Callan , A. Zajic, and M. Prvulovic , An Algorithm for Finding Carriers of Amplitudemodulated Electromagnetic Emanations in Computer Systems , Proceedings of the 10th European Conference on Antennas and Propagation (EuCAP) , April 2016. ( IEEE Xplore ) S. Park , M. Prvulovic , and C. Hughes, PleaseTM: Enabling Transaction Conflict Management in Requester-wins Hardware Transaction Memory , Proceedings of the IEEE International Symposium on High-Performance Computer Architecture (HPCA) , Pages 285-296, March 2016. ( IEEE Xplore ) R. Callan, N. Popovic, A. Daruna, E. Pollmann, A. Zajic, and M. Prvulovic , Comparison of Electromagnetic Side-Channel Energy Available to the Attacker from Different Computer Systems , Proceedings of the IEEE Symposium on Electromagnetic Compatibility (EMC) , Pages 219-223, August 2015. ( IEEE Xplore ) Ching-Kai Liang, Milos Prvulovic , MiSAR: Minimalistic Synchronization Accelerator with Resource Overflow Management , Proceedings of the 42nd International Symposium on Computer Architecture (ISCA) , Pages 414-426,June 2015. ( ACM DL , PDF ) Robert Callan, Alenka Zajic, Milos Prvulovic , FASE: Finding Amplitude-modulated Side-channel Emanations , Proceedings of the 42nd International Symposium on Computer Architecture (ISCA) , Pages 592-603,June 2015. ( ACM DL , PDF ) Robert Callan, Nina Popovic, Alenka Zajic, Milos Prvulovic , A New Approach for Measuring Electromagnetic Side-Channel Energy Available to the Attacker in Modern Processor-Memory Systems , Proceedings of the 9th European Conference on Antennas and Propagation (EuCAP) , April 2015. Robert Callan, Alenka Zajic, Milos Prvulovic , A Practical Methodology for Measuring the Side-Channel Signal Available to the Attacker for Instruction-Level Events , Proceedings of the 47th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO) , Pages 242-254, December 2014. ( ACM DL , PDF ) Alenka Zajic, Milos Prvulovic , Experimental Demonstration of Electromagnetic Information Leakage from Modern Processor-Memory Systems , IEEE Transactions on Electromagnetic Compatibility (TEMC) , Pages 885-893, Vol. 56, No. 4, August 2014. ( IEEE Xplore ) Jungju Oh, Alenka Zajic, Milos Prvulovic , Traffic Steering Between a Low-Latency Unswitched TL Ring and a High-Throughput Switched On-chip Interconnect , Proceedings of the 22nd IEEE International Conference on Parallel Architecture and Compilation Techniques (PACT) , Pages 309-318, September 2013. ( IEEE Xplore , PDF ) Euripus: A Flexible Unified Hardware Memory Checkpointing Accelerator for Bidirectional-Debugging and Reliability Ioannis Doudalis , Milos Prvulovic ISCA '12 Proceedings of the 39th Annual International Symposium on Computer Architecture,2012 frames are not supported Ioannis Doudalis, James Clause, Guru Venkataramani, Milos Prvulovic , and Alessandro Orso, Effective and Efficient Memory Protection Using Dynamic Tainting , , IEEE Transactions on Computers (TC) , Pages 87-100, Vol. 61, Issue 1, January 2012. ( IEEE Xplore , PDF ) DeFT: Design Space Exploration for On-the-Fly Detection of Coherence Misses Guru Venkataramani , Christopher J. Hughes , Sanjeev Kumar , Milos Prvulovic ACM Transactions on Architecture and Code Optimization (TACO),Pages 8:1-8:27, Vol. 8, Issue 2, July 2011 frames are not supported TLSync: Support for Multiple Fast Barriers Using On-Chip Transmission Lines Jungju Oh , Milos Prvulovic , Alenka Zajic ISCA '11 Proceedings of the 38th Annual International Symposium on Computer Architecture (ISCA),Pages 105-116, June 2011 frames are not supported SecureME: A Hardware-Software Approach to Full System Security Siddhartha Chhabra , Brian Rogers , Yan Solihin , Milos Prvulovic Proceedings of the 2011 International Conference on Supercomputing (ICS), Pages 108-119,June 2011 frames are not supported LIME: A Framework for Debugging Load Imbalance in Multi-threaded Execution Jungju Oh , Christopher J. Hughes , Guru Venkataramani , Milos Prvulovic Proceedings of the 33rd International Conference on Software Engineering (ICSE), Pages 201-210,May 2011 frames are not supported Ioannis Doudalis and Milos Prvulovic , HARE++: Hardware Assisted Reverse Execution Revisited , Workshop on Runtime Environments/Systems, Layering, and Virtualized Environments (RESoLVE) , March 2011. ( PDF ) Ioannis Doudalis and Milos Prvulovic , HARE: Hardware Assisted Reverse Execution , Proceedings of the 16th IEEE International Symposium on High-Performance Computer Architecture (HPCA) , January 2010. ( IEEE Xplore , PDF ) The Bulk Multicore Architecture for Improved Programmability Josep Torrellas , Luis Ceze , James Tuck , Calin Cascaval , Pablo Montesinos , Wonsun Ahn , Milos Prvulovic Communications of the ACM (CACM), Pages 58-65,Vol. 52, Issue 12, December 2009 frames are not supported MemTracker: An Accelerator for Memory Debugging and Monitoring Guru Venkataramani , Ioannis Doudalis , Yan Solihin , Milos Prvulovic ACM Transactions on Architecture and Code Optimization (TACO), Pages 5:1-5:33,Vo. 6, Issue 2,June 2009 frames are not supported Making Secure Processors OS- and Performance-Friendly Siddhartha Chhabra , Brian Rogers , Yan Solihin , Milos Prvulovic ACM Transactions on Architecture and Code Optimization (TACO), Pages 16:1-16:35,Vol. 5, Issue 4, March 2009 frames are not supported Guru Venkataramani, Christopher J. Hughes, Sanjeev Kumar, and Milos Prvulovic , Coherence Miss Classification For Performance Debugging in Multi-Core Processors , Thirteenth Workshop on Interaction between Compilers and Computer Architecture (Interact-13) , held in conjunction with HPCA'09, February 2009. ( PDF ) Guru Venkataramani, Ioannis Doudalis, Yan Solihin, and Milos Prvulovic , FlexiTaint: A Programmable Accelerator for Dynamic Taint Propagation , Proceedings of the 14th IEEE International Symposium on High-Performance Computer Architecture (HPCA) , pages 173-184, February 2008. ( PDF ) Brian Rogers, Chenyu Yan, Sidhartha Chhabra, Milos Prvulovic , Yan Solihin, Single-Level Integrity and Confidentiality Protection for Distributed Shared Memory Multiprocessors , Proceedings of the 14th IEEE International Symposium on High-Performance Computer Architecture (HPCA) , pages 161-172, February 2008. Samantika Subramaniam, Milos Prvulovic , and Gabriel H. Loh, PEEP: Exploiting Predictability of Memory Dependences in SMT Processors , Proceedings of the 14th IEEE International Symposium on High-Performance Computer Architecture (HPCA) , pages 137-148, February 2008. ( PDF ) Brian Rogers, Siddhartha Chhabra, Yan Solihin, and Milos Prvulovic , Using Address Independent Seed Encryption and Bonsai Merkle Trees to Make Secure Processors OS- and Performance-Friendly , Proceedings of the 40th Annual IEEE/ACM Symposium on Microarchitecture (MICRO) , December 2007. ( PDF ) Effective Memory Protection Using Dynamic Tainting James Clause , Ioannis Doudalis , Alessandro Orso , Milos Prvulovic ASE '07 Proceedings of the twenty-second IEEE/ACM international conference on Automated software engineering,2007 frames are not supported Guru Venkataramani, Brandyn Roemer, Yan Solihin, and Milos Prvulovic , MemTracker: Efficient and Programmable Support for Memory Access Monitoring and Debugging , Proceedings of the 13th IEEE International Symposium on High-Performance Computer Architecture (HPCA-13) , pages 273-284, February 2007. ( PDF ) Tradeoffs in Fine-Grained Heap Memory Protection Jianli Shen , Guru Venkataramani , Milos Prvulovic ASID '06 Proceedings of the 1st workshop on Architectural and system support for improving software dependability,2006 frames are not supported Comprehensively and Efficiently Protecting the Heap Mazen Kharbutli , Xiaowei Jiang , Yan Solihin , Guru Venkataramani , Milos Prvulovic ASPLOS XII Proceedings of the 12th international conference on Architectural support for programming languages and operating systems,2006 frames are not supported Efficient Data Protection for Distributed Shared Memory Multiprocessors Brian Rogers , Milos Prvulovic , Yan Solihin PACT '06 Proceedings of the 15th international conference on Parallel architectures and compilation techniques,2006 frames are not supported Improving Cost, Performance, and Security of Memory Encryption and Authentication Chenyu Yan , Daniel Englender , Milos Prvulovic , Brian Rogers , Yan Solihin ISCA '06 Proceedings of the 33rd annual international symposium on Computer Architecture,2006 frames are not supported Milos Prvulovic , CORD: Cost-effective (and nearly overhead-free) Order Recording and Data race detection , Proceedings of the 12th IEEE International Symposium on High-Performance Computer Architecture (HPCA-12) , pages 236-247, February 2006. ( PDF ) Rithin Shetty, Mazen Kharbutli, Yan Solihin, and Milos Prvulovic , HeapMon: A helper-thread approach to programmable, automatic, and low-overhead memory bug detection , IBM Journal of Research and Development , pages 261-275, Vol 50, Number 2/3, February 2006. Tradeoffs in Buffering Speculative Memory State for Thread-Level Speculation in Multiprocessors Mara Jess Garzarn , Milos Prvulovic , Jos Mara Llabera , Vctor Vials , Lawrence Rauchwerger , Josep Torrellas ACM Transactions on Architecture and Code Optimization (TACO),2005 frames are not supported Synonymous address compaction for energy reduction in data TLB Chinnakrishnan S. Ballapuram , Hsien-Hsin S. Lee , Milos Prvulovic ISLPED '05 Proceedings of the 2005 international symposium on Low power electronics and design,2005 frames are not supported Brian Rogers, Yan Solihin, Milos Prvulovic , Memory Predecryption: Hiding the Latency Overhead of Memory Encryption , ACM SIGARCH Computer Architecture News , special issue on the Workshop on Architectural Support for Security and Anti-virus (WASSA) , pages 27-33, Vol. 33, Issue 1, March 2005. Rithin Shetty, Mazen Kharbutli, Yan Solihin, and Milos Prvulovic , HeapMon: a Low Overhead, Automatic, and Programmable Memory Bug Detector , Proceedings of the First IBM PAC2 Conference , October 2003. ( PDF ) M. Garzaran, M. Prvulovic , V. Vinals, J. Llaberia, L. Rauchwerger, J. Torrellas, Using Software Logging to Support Multi-Version Buffering in Thread-Level Speculation , Proceedings of the 2003 International Conference on Parallel Architectures and Compilation Techniques (PACT) , September 2003. M. Prvulovic , Architectural Support for Reliable Parallel Computing , University of Illinois at Urbana-Champaign, Department of Computer Science Technical Report #UIUCDCS-R-2003-2365, July 2003. ReEnact: Using Thread-Level Speculation Mechanisms to Debug Data Races in Multithreaded Codes Milos Prvulovic , Josep Torrellas ISCA '03 Proceedings of the 30th annual international symposium on Computer architecture,2003 frames are not supported M. Garzaran, M. Prvulovic , J. Llaberia, V. Vinals, L. Rauchwerger, J. Torrellas, Tradeoffs in Buffering Multi-Version Memory State for Speculative Thread-Level Parallelization in Multiprocessors , Proceedings of the Ninth International Symposium on High Performance Computer Architecture (HPCA) , February 2003. ( PDF ) M. Garzaran, M. Prvulovic , J. Llaberia, V. Vinals, L. Rauchwerger, J. Torrellas, Software Logging under Speculative Parallelization , Second Workshop on Memory Performance Issues in conjunction with ISCA-29, June 2001. Extended version appears in " High Performance Memory Systems ", edited by H. Hadimiouglu, D. Kaeli, J. Kuskin, A. Nanda, and J. Torrellas, Springer-Verlag, 2003. J. Martínez, J. Renau, M. C. Huang, M. Prvulovic , J. Torrellas, Cherry: Checkpointed Early Resurce Recycling in Out-of-order Microprocessors , Proceedings of the 35th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO) , November 2002. ( PDF ) ReVive: Cost-Effective Architectural Support for Rollback Recovery in Shared-Memory Multiprocessors Milos Prvulovic , Zheng Zhang , Josep Torrellas ACM SIGARCH Computer Architecture News - Special Issue: Proceedings of the 29th annual international symposium on Computer architecture (ISCA '02),2002 frames are not supported F. Dang, M.J. Garzaran, M. Prvulovic , Y. Zhang, A. Jula, H. Yu, N. Amato, L. Rauchwerger, J. Torrellas, SmartApps: An Application Centric Approach to High Performance Computing: Compiler-Assisted Software and Hardware Support for Reduction Operations , Proceedings of the 2002 IEEE International Parallel and Distributed Processing Symposium (IPDPS) , pages 172--181, April 2002. M. Garzaran, M. Prvulovic , A. Jula, H. Yu, Y. Zhang, L. Rauchwerger, J. Torrellas, Architectural Support for Parallel Reductions in Scalable Shared-Memory Multiprocessors , Proceedings of the 2001 International Conference on Parallel Architectures and Compilation Techniques (PACT) , September 2001. ( PDF ) Removing Architectural Bottlenecks to the Scalability of Speculative Parallelization Milos Prvulovic , Mara Jess Garzarn , Lawrence Rauchwerger , Josep Torrellas ISCA '01 Proceedings of the 28th annual international symposium on Computer architecture,2001 frames are not supported S. Roy, R. Kumar, M. Prvulovic , Memory System Performance with Compressed Memory , Proceedings of the International Parallel and Distributed Processing Symposium (IPDPS) , April 2001. M. Prvulovic , D. Marinov, Z. Dimitrijevic, V. Milutinovic, Split Temporal/Spatial Cache: A Survey and Reevaluation of Performance , in Newsletter of Technical Committee on Computer Architecture , IEEE Computer Society, July 1999. M. Prvulovic , D. Marinov, Z. Dimitrijevic, V. Milutinovic, The Split Spatial/Non-Spatial Cache: A Performance and Complexity Evaluation , in Newsletter of Technical Committee on Computer Architecture , IEEE Computer Society, July 1999. M. Prvulovic , D. Marinov, V. Milutinovic, Performance Evaluation of Split Temporal/Spatial Caches: Paving the Way to New Solutions , Proceedings of the Workshop on Performance Analysis and its Impact to Design (PAID) in conjunction with ISCA-25, June 1998. ( PDF ) J. Protic, M. Prvulovic , D. Ristanovic, The Effects of User Behavior and Internet Provider Policy on the Accessibility of SezamPro Online System , 23rd EUROMICRO Conference '97 New Frontiers of Information Technology - Short Contributions , September 1997. ( PDF ) diff --git a/src/data/compiled_bios/4507.txt b/src/data/compiled_bios/4507.txt new file mode 100644 index 0000000000..a0528efc90 --- /dev/null +++ b/src/data/compiled_bios/4507.txt @@ -0,0 +1 @@ + Dr. Calton Pu Professor and John P. Imlay, Jr. Chair in Software College of Computing , Georgia Tech Co-Director, Center for Experimental Research in Computer Systems (CERCS) Ph.D., Computer Science & Engineering, University of Washington Office: KACB, room 3334 Address: Georgia Tech, 266 Ferst Dr, Atlanta, GA 30332-0765 USA Phone +1-404-385-1106 FAX +1-404-385-2295 Email: calton dot pu AT cc dot gatech dot edu Research Interests Calton's research interests are in the areas of service computing, distributed and cloud computing, integration and veracity of big data. His current projects include cloud computing (Elba) and big data (GRAIT-DM) research. Using experimental data from realistic benchmarks, the Elba project studies the interesting phenomena such as very short bottlenecks that have large impact on n-tier system response time. The GRAIT-DM project collects real world data from social sensors (e.g., Twitter and YouTube) and physical sensors (e.g., USGS GSN and NASA TRMM) to detect physical events and manage real-time information on them. The sponsors for Calton Pu's research include both government funding agencies such as NSF , and companies from industry such as HP, Fujitsu, IBM, and Intel. He is a co-director of Center for Experimental Research in Computer Systems (CERCS) , and affiliate faculty of Institute for Information Security and Privacy (IISP) at Georgia Tech. He is also the director of RCN on Big Data for Smart Cities, with collaborations around the world. Positions available: Georgia Tech is recruiting good graduate students. Current projects: Elba Project: Automated N-Tier Application Deployment GRAIT-DM : Global Research on Applying Information Technology for Disaster Management Past projects: Denial of Information project: Research on Deceptive and Misleading Information Infosphere project: System Software for Reliable Distributed Systems Continual Queries (CQ) project: WebCQ Page, and OpenCQ Page Quasar project Synthetix Operating System project Tactix Transaction Processing and Database project Scientific Data and Software Calton has taught several courses in the areas of systems and databases. In fall, he is teaching CS4220/6235 Real-Time Embedded Systems This page contains only unofficial information. The course is managed through T-Square. In spring, he is teaching CS4365/6365 Introduction to Enterprise Computing . (Past web pages, updates pending.) Selected Publications See my project publication pages (above) or google scholar [ https://scholar.google.com/citations?user=Vbv-JEwAAAAJ&hl=en ]. Other Interesting Information Calton's calendar (weekly and travel). Very short bio. My PhD students. Visitors to our lab. My first patent. Current patent count: 6. Mike Dahlins list of useful information for systems researchers. Hobbies: Hiking and gardening. Other interesting points in Web-touring diff --git a/src/data/compiled_bios/4508.txt b/src/data/compiled_bios/4508.txt new file mode 100644 index 0000000000..1db28e339c --- /dev/null +++ b/src/data/compiled_bios/4508.txt @@ -0,0 +1 @@ + Umakishore Ramachandran Professor School of Computer Science College of Computing Georgia Institute of Technology An interview on IoT Technology with TIANOW.org . A New Textbook on Computer Systems: (Info) (Link to Amazon) (Link to Pearson publishing) External pages for courses I teach: CS 2200 - Introduction to Computer Systems and Networking CS 6210 - Advanced Operating Systems (Syllabus) CS 6210 - Advanced Operating Systems (OMS MOOC offering) CS 4803 - Mobile Embedded OS CS 4803/8803 - Systems Issues in Cloud Computing Personal trivia... My father is a well-known Tamil writer (pen name: Umachandran, author of the award winning novel "Mullum Malarum" in the Kalki magazine , which was made into a hit movie starring Rajnikanth ). My older brother R. Nataraj , is a Member of the Legislative Assembly in the State of Tamilnadu, India (previously, he was the Director General of Police for the Tamilnadu State). I am married to Vasanthi , and we have two children Hemant and Shalini . As of 7/30/2017, I have a new status in life...a grandpa...Shalini and her husband Sunil have given me this status boost through their baby boy Shashvat. I am an avid squash player, and can be arm-twisted to hold a tennis racket every once in a while! Check out my daughter's assessment (at age 9) of how I look by clicking here . Check out what I did during the winter break (2009-2010) by clicking here . Professionally Speaking... I received my Ph. D. in Computer Science from the University of Wisconsin, Madison in 1986 under the direction of Marvin Solomon . Since then I have been with Georgia Tech (home of the yellow jackets), where currently I am a Professor in the College of Computing. Recently, I led a faculty team that defined the curriculum and the implementation for an online MS program in Computer Science ( OMSCS ) using MOOC technology for the College of Computing, which is currently providing an opportunity for students to pursue a low-cost graduate education in computer science internationally. In the past, I have served as the Director of STAR Center from 2007 to 2014 (collaborative research between Samsung and Georgia Tech), and as the Director of Korean Programs for the College of Computing from 2007 to 2011 (offering an MS in Embedded Software in S. Korea funded by the South Korean Government aimed at students coming from leading industries such as Samsung and LG). For two years (July 2003 to August 2005) I served as the Chair of the Core Computing Division within the College of Computing. My research interests are in the area of architectural design, programming, and analysis of parallel and distributed systems. Currently, I am leading a project that deals with large-scale situation awareness using distributed camera networks and multi-modal sensing with applications to surveillance, connected vehicles, and transportation. In the past, I have been involved in the design and evaluation of several large experimental systems including Clouds, Beehive , Stampede (joint with (RIP) Compaq Cambridge Research Lab ), and ubiquitous presence (sensor-based distributed computing). I received a Presidential Young Investigator (PYI) Award from the National Science Foundation (NSF) in 1990, the Georgia Tech Doctoral Thesis Advisor Award in 1993, the College of Computing Outstanding Senior Research Faculty Award in 1996, the College of Computing Dean's Award in 2003 and 2014, the William A. "Gus" Baird Faculty Teaching Award from the College of Computing in 2004, the Peter A. Freeman Faculty Award from the College of Computing in 2009 and in 2013, the Outstanding Faculty Mentor Award from the College of Computing in 2014, and became an IEEE Fellow in 2014. My PhD Lineage (Click here for Jeff Ullman's progeny) ..... -> Art Bernstein (Stony Brook) -> Jeff Ullman (Stanford) -> Alan Demers (Cornell) -> Marvin Solomon (UW-Madison) -> yours truly... Known PhD siblings M. V. S. Ramanath , Will E. Leland , Nancy Jarrell , Mary D. P. Leland , Jonathan Kepecs , Prasun Dewan (UNC-Chapel Hill), William Kalsow . Anthony Rich , Igor Steinberg , Paul Adams , Odysseas Tsatalos . Tracking my PhD Progeny Dr. Yousef Khalidi (1989) - Distinguished Engineer, Microsoft Corp. (formerly Distinguished Engineer, Sun Microsystems) Dr. Joonwon Lee (1991) - Professor, Computer Systems Laboratory, School of Information and Communication Engineering, Sungkyunkwan University, South Korea Dr. Walter B. Ligon III (1992) - Associate Professor, Department of ECE, Clemson University, South Carolina Dr. Martin Davis (1992) - (e-mail: martin (at) martinhdavisjr.com) Dr. Ajay Mohindra (1993) - IBM T.J.Watson Research Center Dr. Anand Sivasubramaniam (1995) - Professor, Department of CSE, Pennsylvania State University Dr. Vibby Gottemukkala (1995) - CAMPSYS Corp. Dr. Sreenivas Gukal (1995) - CA Technologies Dr. Gautam Shah (1995) - IBM Kingston (SP2 group) Dr. Aman Singla (1997) - Vice President - Engineering, QualComm Atheros Dr. Zachary Alan Kurmas (2004) - Assistant Professor, Department of Computer Science & Information Systems, Grand Valley State University Dr. Sameer Adhikari (2004) - Intel Corp. Dr. Arnab Paul (2005) - Intel Corp. Dr. Josh Fryman (2005) - Intel Corp. Dr. Matt Wolenetz (2005) - Google Dr. Rajnish Kumar (2006) - Founder/CTO, Verificient Dr. Nissim Harel (2006) - Faculty of Sciences, Holon Institute of Technology, Israel Dr. Xiang Song (2008) - Google Dr. Hasnain Mandviwala (2008) - VMware Dr. David Hilley (2009) - Google Dr. Nova Ahmed (2010) - Assistant Professor, Department of Electrical Engineering & Computer Science , North South University , Bangladesh Dr. Bikash Agarwalla (2010) - Facebook Dr. Hyojun Kim (2012) - Google Dr. Lateef Yusuf (2014) - Google Dr. Mungyung Ryu (2014) - Google Dr. Kirak Hong (2014) - Google Dr. Dave Lillethun (2015) - Seattle University Dr. Dushmanta Mohapatra (2015) - Oracle Dr. Beate Ottenwalder (2016) (Co-Advisor, Primary Advisor: Professor Kurt Rothermel, IPVS, U of Stuttgart, Germany) - Bosch, Germany Dr. Ruben Mayer (2018) (Co-Advisor, Primary Advisor: Professor Kurt Rothermel, IPVS, U of Stuttgart, Germany) - IPVS, U of Stuttgart, Germany Recent Alumni of my Research Group Toby Reyelts, BS 2000, Google Anand Lakshminarayanan, MS 2000, Microsoft Russ Keldorph, MS 2000, Microsoft Kirill Mechitov, BS 2001, Grad Student UIUC Durga Devi Mannaru, MS 2001, IBM Research Triangle Park, NC. Ansley Post, BS 2002, Grad Student Rice U. Rajat Sharma, MS 2003, Verizon Wireless Zaib Talat, BS 2003 Ilya Bagrak, BS 2004, Grad Student UC-Berkeley Martin Modahl, MS 2004 Sam Young, BS 2007, Amazon Steven French, BS 2007, Microsoft Vladimir Urazov, MS December 2007, Citadel Investment Group Aninda Ray, MS December 2008, Microsoft Corp. Jatin Kumar, MS December 2008, NVIDIA Corp. Steven Dalton, BS May 2009, Grad Student UIUC Amit Warke, MS December 2009, HP Labs Matthew McCawley, BS Brian Stebar II, BS Brandon Whitehead, BS Michael DeRosa, BS Brent Rowswell, BS Stewart Butler, BS Jinghui Wang, BS Chayong Lee, BS Bhavana Challa, MS 2012, Linkedin Shruti Padamata, MS 2014, Google Current Students Wonhee Cho Enrique Saurez Harshit Gupta Zhuangdi (Andy) Xu Adam Hall Ashish Bijlani Current Research Recent Publications Archives Visit the following places for a description related to my past research activities. NSF Research Infrastructure Project The Stampede System The Beehive Cluster System TASS: A Top-down Approach to Scalability Study Contact Information Dr. Umakishore Ramachandran Professor College of Computing, Georgia Tech Klaus Advanced Computing Building (KACB 2340) 266 Ferst Dr., Atlanta, GA 30332. E-mail: rama at cc dot gatech dot edu As a reward for visiting my homepage here is a recipe for masala noodle invented by my wife Vasanthi! diff --git a/src/data/compiled_bios/4509.txt b/src/data/compiled_bios/4509.txt new file mode 100644 index 0000000000..bdbe35ab22 --- /dev/null +++ b/src/data/compiled_bios/4509.txt @@ -0,0 +1 @@ + Georgia Tech Home Map Directory Offices Vivek Sarkar Menu Close Home Search Vivek Sarkar Vivek Sarkar Vivek Sarkar Professor , School of Computer Science Email: vsarkar atgatech.edu Home page: http://vsarkar.cc.gatech.edu Vivek Sarkar is a Professor in the School of Computer Science, and theStephen Fleming Chair for Telecommunications in the College ofComputing at Georgia Tech. He conducts research in multiple aspects of parallel computing software including programming languages, compilers, runtime systems, and debuggers for parallel and high performance computer systems. Prof. Sarkar currently leads the Habanero Extreme Scale Software Research Laboratory at Georgia Tech, and is PI of the DDARING project in the DARPA Software Defined Hardware program. He teaches the undergraduate course onCompilers & Interpreters (CS 4240) in the Spring semesters, and an advanced graduate class in the Fall semesters. Prof. Sarkar is also the primary instructor for a 3-course onlinespecialization on Parallel, Concurrent, and Distributed Programming hosted on Coursera. There are openings available for PhD students, post-doctoral researchers, research programmers, and research scientists in Prof. Sarkars lab at Georgia Tech. Interested applicants should send email to Prof. Sarkar (vsarkar at gatech.edu), and cc: his assistant, Wanda Purinton (wdp at cc.gatech.edu). Habanero Extreme Scale Software Research Group photo, May 2016 Georgia Tech PLSE outing, October 2017 Resources Vivek Sarkar Bio Publications (ASTI, 1992-2001) Publications (Habanero, 2007-present) Publications (Jikes RVM, 1999-2005) Helpful Links College of Computing School of Computer Science Resources Georgia Institute of Technology North Avenue, Atlanta, GA 30332 Phone: 404-894-2000 Georgia Tech Resources Offices & Departments News Center Campus Calendar Institute Communications Visitor Resources Directions to Campus Visitor Parking Information GTvisitor Wireless Network Information Georgia Tech Hotel & Conference Center Colleges College of Architecture College of Computing College of Engineering College of Sciences Ivan Allen College of Liberal Arts Scheller College of Business Instructional Sites Georgia Tech-Lorraine Georgia Tech-Shenzhen Student Resources Apply BuzzPort Buzzcard Career Services Co-ops & Internships Commencement Library Student Affairs Student Entrepreneurship Study Abroad T-Square Parent Resources Parents Program Dean of Students Scholarships & Financial Aid Employees Administration and Finance Advising & Teaching Faculty Affairs Faculty Hiring Human Resources Office of the Provost TechWorks Alumni Alumni Association Outreach Startup Companies Economic Development Industry Engagement Government & Community Partners Georgia Tech Research Institute Professional Education Log In RSS Feed Powered by Professional Web Presence (PWP) Emergency Information Legal & Privacy Information Accessibility Accreditation Employment 2019 Georgia Institute of Technology diff --git a/src/data/compiled_bios/451.txt b/src/data/compiled_bios/451.txt new file mode 100644 index 0000000000..7c94822e84 --- /dev/null +++ b/src/data/compiled_bios/451.txt @@ -0,0 +1 @@ +AlexeiSourin Profile Teaching Research Cyberworlds Conferences diff --git a/src/data/compiled_bios/4510.txt b/src/data/compiled_bios/4510.txt new file mode 100644 index 0000000000..ae11c7e146 --- /dev/null +++ b/src/data/compiled_bios/4510.txt @@ -0,0 +1 @@ + Santosh S. Vempala College of Computing , ISYE , Math Frederick P. Storey II chair Vision Aid , ARC Teaching: Spring 2019: CS8803CA: Continuous Algorithms Family (in r.c.o.) Pablo, Sofia, Rosa , Naresh , Mom and Dad. Research areas Algorithms, Geometry, Randomness. ( C.V. ) C4G Projects Safe and Easy Passwords! , LifeNet , C4G BLIS , Shelter-to-Home , BSIS/Vein-to-Vein , O.P.E.A.C.E. Publications View all papers or by topic ; STOC/SoCG 2016 keynote , STOC 2015 tutorial , and a package for high-dimensional sampling and integration. Algorithmic convex geometry (here's a Summer course from 2012; a talk at ICML 2013 and RANDOM 2013; an AIM workshop ) Spectral algorithms and representations (a tutorial at SIGCOMM 2008 and a talk from COLT 2007) Optimization (continuous and discrete) Learning theory (a tutorial on The Complexity of Unsupervised Learning; co-organizer: Simons program on Foundations of ML ) Network routing and security Brain and Human Computation (a workshop on human computation; co-organizer: Simons program on Brain and Computation ) C4G Books/Surveys The KLS Conjecture (with Yin Tat Lee), Current Developments in Mathematics, 2017. Randomized Algorithms in Numerical Linear Algebra (with Ravi Kannan), Acta Numerica, 2017. Spectral Algorithms (NOW, 2009). The Random Projection Method (AMS, 2004; paperback 2006). Algorithmic Convex Geometry (survey) , 2010. Geometric Random Walks: A Survey , 2005. Advisees Current: Samantha Petti , Samira Samadi Past PhD: Adrian Vetta (Ph.D. 2002) John Dunagan (Ph.D. 2002) Alantha Newman (Ph.D. 2004) Grant Wang (Ph.D. 2006) Luis Rademacher (Ph.D. 2007, Johnson prize) Amit Deshpande (Ph.D. 2007) Charlie Brubaker (Ph.D. 2009, GT dissertation prize) Karthekeyan Chandrasekaran (Ph.D. 2012, GT and Sigma Xi dissertation prizes) Daniel Dadush (Ph.D. 2012, Tucker prize) Anand Louis (Ph.D.2014) Ying Xiao (Ph.D. 2014) Ben Cousins (Ph.D. 2017) MS: David Pritchard (2005) Abhisheak Iyer (C4G 2009) Ruban Monu (C4G 2010) Ashwin Paranjpe (C4G 2010) Hiral Modi (with Rosa Arriaga, CS 2011) Supraja Narasimhan (C4G 2011) Hrushikesh Mehendale (C4G 2011) Amol Shintre (C4G 2012) Naomi Chopra (C4G 2013) G K Arun Kumar (C4G 2014) Aishwarya Rajagopal (C4G 2015) Vasavi Gajarla (C4G 2016) Dhruv Muttaraju (C4G 2017) Sakshi Gandhi (C4G 2017) Postdocs Greg Bodwin (ARC, 2018- ) John Wilmes (ARC, with Eric Vigoda, 2016-2018) Anup B. Rao (ARC, 2015-2017) Elena Grigorescu (ARC/CI, with Chris Peikert, 2010-2012) Lev Reyzin (ARC/Simons, 2010-2012) Luis Rademacher (2007-2009) Navin Goyal (ARC, 2007-2008) Adam Kalai (NSF, 2001-2003) Courses View course pages CS4540: Simple Algorithms Computation and the Brain A Theoretician's Toolkit CS7545 Machine Learning Theory CS3511 Algorithms (honors) Spectral Algorithms Computing for Good (C4G) High-dimensional Algorithms Computability and Algorithms C4G: Computing for Good (Fall 2009) Algorithmic Convex Geometry (Fall 2008) Combinatorial Optimization Geometric Tools for Algorithms Random Walks and Polynomial-Time Algorithms An Eye for Elegance Editor Theory of Computing (a free, electronic journal) Algorithmica UROC Models for Categorization ; Password Games diff --git a/src/data/compiled_bios/4511.txt b/src/data/compiled_bios/4511.txt new file mode 100644 index 0000000000..24eea178a5 --- /dev/null +++ b/src/data/compiled_bios/4511.txt @@ -0,0 +1 @@ + Eric Vigoda Professor of Computer Science Georgia Tech Director, Algorithms & Randomness Center Professor, School of Computer Science Georgia Institute of Technology Fulkerson Prize, 2006. Machtey Award, 1999. Ph.D., CS, UC Berkeley, 1999. BS, Johns Hopkins, 1994. Contact information Office: Klaus 2222A ericvigoda@gmail.com Research Publications Teaching Main research interests: Markov chain Monte Carlo (MCMC) methods Randomized algorithms Phase transitions in Statistical Physics Markov chains in Evolutionary Biology Current courses (Spring 2018): CS 6550 -- Advanced Graduate Algorithms Some other courses with some lecture notes: CS 3510 -- Design and Analysis of Algorithms (Spring 2018) CS 8803 GA OMS -- Introduction to Graduate Algorithms (Spring 2018) CS 8803 GA OMS -- Introduction to Graduate Algorithms (Fall 2017) CS 7535 -- Markov Chain Monte Carlo Methods (Fall 2017) CS 6505 -- Computability and Algorithms (Spring 2017) CS 3510 -- Design and Analysis of Algorithms (Fall 2013) CS 300 at KAIST University, Korea (Spring 2015) CS 4540 -- Advanced Algorithms CS 7530 -- Randomized Algorithms CS 7535 -- Markov Chain Monte Carlo Methods ACO (Algorithms, Combinatorics, & Optimization) PhD program Algorithms & Randomness Center CS Theory group Semi-recent list of publications A. Blanca, R. Gheissari, and E. Vigoda. Random-cluster dynamics in 2 : rapid mixing with general boundary conditions. Preprint, 2018. (arXiv) A. Blanca, Z. Chen, and E. Vigoda. Swendsen-Wang Dynamics for General Graphs in the Tree Uniqueness Region . In Proceedings of the 22nd International Conference on Randomization and Computation (RANDOM) , 2018. (arXiv) . A. Blanca, A. Galanis, L. A. Goldberg, D. Stefankovic, E. Vigoda, K. Yang. Sampling in Uniqueness from the Potts and Random-Cluster Models on Random Regular Graphs In Proceedings of the 22nd International Conference on Randomization and Computation (RANDOM) , 2018. (arXiv) . M. E. Dyer, A. Galanis, L. A. Goldberg, M. Jerrum, and E. Vigoda. Random Walks on Small World Networks , Preprint, 2018. (arXiv) A. Blanca, Z. Chen, D. Stefankovic, and E. Vigoda. Structure Learning of H-colorings. In Proceedings of the 29th International Conference on Algorithmic Learning Theory (ALT) , 2018. Best Paper award. (arXiv) D. Stefankovic, E. Vigoda, and J. Wilmes. On Counting Perfect Matchings in General Graphs. In Proceedings of the 13th Latin American Theoretical Informatics Symposium (LATIN) , 2018. (arXiv) A. Blanca, P. Caputo, A. Sinclair, and E. Vigoda. Spatial Mixing and Non-local Markov chains. In Proceedings of the 29th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA) , pages 1965-1980, 2018. (arXiv) C. Efthymiou, T. P. Hayes, D. Stefankovic, and E. Vigoda. Sampling Random Colorings of Sparse Random Graphs. In Proceedings of the 29th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA) , pages 1759-1771, 2018. (arXiv) S. Park, Y. Jang, A. Galanis, J. Shin, D. Stefankovic, and E. Vigoda. Rapid Mixing Swendsen-Wang Sampler for Stochastic Partitioned Attractive Models . In Proceedings of the 20th International Conference on Artificial Intelligence and Statistics (AISTATS) , pages 440 449, 2017. (arXiv) C. Efthymiou, T. P. Hayes, D. Stefankovic, E. Vigoda, and Y. Yin. Convergence of MCMC and Loopy BP in the Tree Uniqueness Region for the Hard-Core Model. In Proceedings of the 57th Annual IEEE Symposium on Foundations of Computer Science (FOCS) , pages 704-713, 2016. (arXiv) A. Galanis, D. Stefankovic, E. Vigoda, and L. Yang. Ferromagnetic Potts Model: Refined #BIS-hardness and Related Results. SIAM Journal on Computing , 45-6:2004-2065, 2016. (arXiv) A. Galanis, D. Stefankovic, and E. Vigoda. Inapproximability of the Partition Function for the Antiferromagnetic Ising and Hard-Core Models. Combinatorics, Probability & Computing , 25(4):500-559, 2016. (arXiv) J.-Y. Cai, A. Galanis, L. A. Goldberg, H. Guo, M. Jerrum, D. Stefankovic, and E. Vigoda. #BIS-Hardness for 2-Spin Systems on Bipartite Bounded Degree Graphs in the Tree Non-uniqueness Region. Journal of Computer and System Sciences , 82(5):690-711, 2016. (arXiv) A. Galanis, D. Stefankovic, and E. Vigoda. Inapproximability for Antiferromagnetic Spin Systems in the Tree Non-Uniqueness Region. Journal of the ACM , 62(6): article no. 50, 2015. (arXiv) J. C. Vera, E. Vigoda, and L. Yang. Improved Bounds on the Phase Transition for the Hard-Core Model in 2-Dimensions. SIAM Journal on Discrete Mathematics , 29(4):1895-1915, 2015. (arXiv) T. Hayes, J. Vera, and E. Vigoda. Randomly coloring planar graphs with fewer colors than the maximum degree. Random Structures and Algorithms , 47(4):731-759, 2015. (arXiv) A. Galanis, D. Stefankovic, and E. Vigoda. Swendsen-Wang Algorithm on the Mean-Field Potts Model. In Proceedings of the 19th International Workshop on Randomization and Computation (RANDOM), pages 815-828, 2015. (arXiv) A. Galanis, D. Stefankovic, and E. Vigoda. Inapproximability for Antiferromagnetic Spin Systems in the Tree Non-Uniqueness Region. In Proceedings of the 46th Annual ACM Symposium on Theory of Computing (STOC), pages 823-831, 2014. (arXiv) , (journal) R. Restrepo, D. Stefankovic, J. C. Vera, E. Vigoda, and L. Yang. Phase Transition for Glauber Dynamics for Independent Sets on Regular Trees. SIAM Journal on Discrete Mathematics , 28(2):835-861, 2014. (arXiv) A. Galanis, Q. Ge, D. Stefankovic, E. Vigoda, and L. Yang. Improved Inapproximability Results for Counting Independent Sets in the Hard-Core Model. Random Structures and Algorithms , 45(1):78-110, 2014. (arXiv) A. Galanis, D. Stefankovic, E. Vigoda, and L. Yang. Ferromagnetic Potts Model: Refined #BIS-hardness and Related Results. In Proceedings of the 18th International Workshop on Randomization and Computation (RANDOM), pages 677-691, 2014. J.-Y. Cai, A. Galanis, L. A. Goldberg, H. Guo, M. Jerrum, D. Stefankovic, and E. Vigoda. #BIS-Hardness for 2-Spin Systems on Bipartite Bounded Degree Graphs in the Tree Non-uniqueness Region. In Proceedings of the 18th International Workshop on Randomization and Computation (RANDOM), pages 582-595, 2014. R. Restrepo, J. Shin, P. Tetali, E. Vigoda, and L. Yang. Improved Mixing Condition on the Grid for Counting and Sampling Independent Sets. Probability Theory and Related Fields , 156(1-2):75-99, 2013. (arXiv) J. C. Vera, E. Vigoda, and L. Yang. Improved Bounds on the Phase Transition for the Hard-Core Model in 2-Dimensions. In Proceedings of the 17th International Workshop on Randomization and Computation (RANDOM), pages 699-713, 2013. M. Dyer, A. Frieze, T. Hayes, and E. Vigoda. Randomly Coloring Constant Degree Graphs. Random Structures and Algorithms , 43(2):181-200, 2013. P. Tetali, J. C. Vera, E. Vigoda and L. Yang. Phase Transition for the Mixing Time of the Glauber Dynamics for Coloring Regular Trees. Annals of Applied Probability , 22(6):2210-2239, 2012. D. Stefankovic, S. Vempala, and E. Vigoda. A Deterministic Polynomial-time Approximation Scheme for Counting Knapsack Solutions. SIAM Journal on Computing , 41(2):356-366, 2012. I. Bezakova, A. Sinclair, D. Stefankovic, and E. Vigoda. Negative Examples for Sequential Importance Sampling of Binary Contingency Tables. Algorithmica , 64(4):606-620, 2012. R. Restrepo, J. Shin, P. Tetali, E. Vigoda, and L. Yang. Improved Mixing Condition on the Grid for Counting and Sampling Independent Sets. In Proceedings of the 52nd Annual IEEE Symposium on Foundations of Computer Science (FOCS), pages 140-149, 2011. P. Gopalan, A. Klivans, R. Meka, D. Stefankovic, S. Vempala, and E. Vigoda. An FPTAS for #Knapsack and Related Counting Problems. In Proceedings of the 52nd Annual IEEE Symposium on Foundations of Computer Science (FOCS), pages 817-826, 2011. D. Stefankovic and E. Vigoda. Fast Convergence of MCMC Algorithms for Phylogenetic Reconstruction with Homogeneous Data on Closely Related Species. SIAM Journal on Discrete Mathematics , 25(3):1194-1211, 2011. N. Bhatnagar, J. Vera, E. Vigoda, and D. Weitz. Reconstruction for Colorings on Trees. SIAM Journal on Discrete Mathematics , 25(2):809-826, 2011. A. Galanis, Q. Ge, D. Stefankovic, E. Vigoda, L. Yang. Improved Inapproximability Results for Counting Independent Sets in the Hard-Core Model. In Proceedings of the 15th International Workshop on Randomization and Computation (RANDOM), pages 567-578, 2011. R. Restrepo, D. Stefankovic, J. C. Vera, E. Vigoda, and L. Yang. Phase Transition for Glauber Dynamics for Independent Sets on Regular Trees. In Proceedings of the 22nd Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), pages 945-956, 2011. P. Tetali, J. C. Vera, E. Vigoda and L. Yang. Phase Transition for the Mixing Time of the Glauber Dynamics for Coloring Regular Trees. In Proceedings of the 21st Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), pages 1646-1656, 2010. D. Stefankovic, S. Vempala, and E. Vigoda. Adaptive Simulated Annealing: A Near-optimal Connection between Sampling and Counting. Journal of the ACM , 56(3), article 18, 2009. N. Elango, S.-H. Kim, NISC Comparative Sequencing Program, E. Vigoda, and S. V. Yi. Mutations of different molecular origins exhibit contrasting patterns of regional substitution rate variation. PLOS Computational Biology , 4(2):e1000015, 2008. I. Bezakova, D. Stefankovic, V. Vazirani, and E. Vigoda. Accelerating Simulated Annealing for the Permanent and Combinatorial Counting Problems. SIAM Journal on Computing , 37(5):1429-1454, 2008. N. Bhatnagar, D. Randall, V. Vazirani and E. Vigoda. Random Bichromatic Matchings. Algorithmica , 50(4):418-445, 2008. D. Stefankovic, S. Vempala, and E. Vigoda. Adaptive Simulated Annealing: A Near-optimal Connection between Sampling and Counting. In Proceedings of the 48th Symposium on Foundations of Computer Science (FOCS), pages 183-193, 2007. T. Hayes, J. Vera, and E. Vigoda. Randomly coloring planar graphs with fewer colors than the maximum degree. In Proceedings of the 39th Annual ACM Symposium on Theory of Computing (STOC), pages 450-458, 2007. N. Bhatnagar, P. Caputo, P. Tetali, and E. Vigoda. Analysis of Top-Swap Shuffling for Genome Rearrangements. Annals of Applied Probability , 17(4):1424-1445, 2007. D. Stefankovic and E. Vigoda. Phylogeny of Mixture Models: Robustness of Maximum Likelihood and Non-identifiable Distributions. Journal of Computational Biology , 14(2):144-155, 2007. D. Stefankovic and E. Vigoda. Pitfalls of Heterogeneous Processes for Phylogenetic Reconstruction. Systematic Biology , 56(1):113-124, 2007. I. Bezakova, N. Bhatnagar, and E. Vigoda. Sampling Binary Contingency Tables with a Greedy Start. Random Structures and Algorithms , 30(1-2):168-205, 2007. T. Hayes and E. Vigoda. Variable Length Path Coupling. \emph{Random Structures and Algoithms, 31(3):251-272, 2007. A. Frieze and E. Vigoda. Survey of Markov Chains for Randomly Sampling Colorings. In Combinatorics, Complexity and Chance: A Tribute to Dominic Welsh , Oxford University Press, eds. G. Grimmett and C. McDiarmid, 53-71, 2007. S.-H. Kim, N. Elango, C. Warden, E. Vigoda and S. Yi. Heterogeneous genomic molecular clocks in primates. PLOS Genetics , 2(10): e163, 2006. E. Mossel, and E. Vigoda. Limitations of Markov Chain Monte Carlo Algorithms for Bayesian Inference of Phylogeny, Annals of Applied Probability , 16(4): 2215-2234, 2006. T. Hayes and E. Vigoda. Coupling with the Stationary Distribution and Improved Sampling for Colorings and Independent Sets. Annals of Applied Probability , 16(3): 1297-1318, 2006. I. Bezakova, A. Sinclair, D. Stefankovic, and E. Vigoda. Negative Examples for Sequential Importance Sampling of Binary Contingency Tables. In Proceedings of the European Symposium on Algorithms (ESA), pages 136-147, 2006. I. Bezakova, D. Stefankovic, V. Vazirani, and E. Vigoda. Accelerating Simulated Annealing for the Permanent and Combinatorial Counting Problems, In Proceedings of the 17th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), pages 900-907, 2006. I. Bezakova, N. Bhatnagar, and E. Vigoda. Sampling Binary Contingency Tables with a Greedy Start, In Proceedings of the 17th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), pages 414-423, 2006. N. Bhatnagar, D. Randall, V. Vazirani, and E. Vigoda. Random Bichromatic Perfect Matchings. In Proceedings of the 7th Latin American Theoretical Informatics Symposium (LATIN), pages 190-201, 2006. M. Dyer, A. Flaxman, A. Frieze, and E. Vigoda. Randomly Coloring Sparse Random Graphs with Fewer Colors than the Maximum Degree. Random Structures and Algorithms , 29(4): 450-465, 2006. E. Mossel and E. Vigoda. Phylogenetic Markov Chain Monte Carlo Algorithms are Misleading on Mixtures of Trees. Science , 309:2207-2209, 2005. T. Hayes and E. Vigoda. Coupling with the Stationary Distribution and Improved Sampling for Colorings and Independent Sets. In Proceedings of the 16th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), pages 971-979, 2005. T. uczak and E. Vigoda. Torpid mixing for sampling colorings. Journal of Discrete Algorithms , 3(1):92-100, 2005. M. Jerrum, A. Sinclair, and E. Vigoda. A polynomial-time approximation algorithm for the permanent of a matrix with non-negative entries. Journal of the ACM , 51(4):671-697, 2004. Winner of a Fulkerson Prize. M. Dyer, A. Frieze, T. Hayes, and E. Vigoda. Randomly Coloring Constant Degree Graphs. In Proceedings of the 45th Annual IEEE Symposium on Foundations of Computer Science (FOCS), pages 582-589, 2004. M. Dyer, A. Sinclair, E. Vigoda, and D. Weitz. Mixing in time and space for lattice spin systems: a combinatorial view. Random Structures and Algorithms , 24(4):461-479, 2004. M. Jerrum, J-B. Son, P. Tetali, and E. Vigoda. Elementary bounds on Poincar and log-Sobolev constants for decomposable Markov chains. Annals of Applied Probability , 14(4):1741-1765, 2004. T. Hayes and E. Vigoda. Variable Length Path Coupling. In Proceedings of the 15th Annual ACM-SIAM Symposium on Discrete Algorithms (SODA), pages 96-103, 2004. M. Dyer, M. Jerrum and E. Vigoda. Rapidly mixing Markov chains for dismantleable constraint graphs, {/it Graphs, morphisms and statistical physics, DIMACS series of the American Mathematical Society, 87-95, 2004. T. Hayes and E. Vigoda. A Non-Markovian Coupling for Randomly Sampling Colorings, In Proceedings of the 44th Annual IEEE Symposium on Foundations of Computer Science (FOCS), pages 618-627, 2003. M. Dyer, A. Sinclair, E. Vigoda, and D. Weitz. Mixing in Time and Space for Lattice Spin Systems: A Combinatorial View. In Proceedings of the 6th International Workshop on Randomization and Computation (RANDOM), pages 149-163, 2002. M. Dyer, M. Jerrum, and E. Vigoda. Rapidly Mixing Markov Chains for Dismantleable Constraint Graphs. Mixing in Time and Space for Lattice Spin Systems: A Combinatorial View. In Proceedings of the 6th International Workshop on Randomization and Computation (RANDOM), pages 68-77, 2002. M. Jerrum, A. Sinclair, and E. Vigoda. A polynomial-time approximation algorithm for the permanent of a matrix with non-negative entries. In Proceedings of the 33rd Annual ACM Symposium on Theory of Computing (STOC), pages 712-721, 2001. E. Vigoda. A Note on the Glauber Dynamics for Sampling Independent Sets, Electronic Journal of Combinatorics , 8(1): Research paper 8, 2001. E. Vigoda. Improved Bounds for Sampling Colorings. Journal of Mathematical Physics , 41(3):1555-1569, 2000. E. Vigoda. Improved Bounds for Sampling Colorings. In Proceedings of the 40th IEEE Symposium on Foundations of Computer Science (FOCS), pages 51-59, 1999. Winner of the Machtey award for best student paper. C. Borgs, J. T. Chayes, A. Frieze, J-H. Kim, P. Tetali, E. Vigoda, and V. H. Vu. Torpid Mixing of Some Monte Carlo Markov Chain Algorithms in Statistical Physics. In Proceedings of the 40th Annual IEEE Symposium on Foundations of Computer Science (FOCS), 218-229, 1999. M. Luby, and E. Vigoda. Fast Convergence of the Glauber Dynamics for Sampling Independent Sets. Random Structures and Algorithms , 15(3-4):229-241, 1999. M. Luby and E. Vigoda. Approximately Counting Up To Four. In Proceedings of the 29th annual ACM Symposium on Theory of Computing (STOC), pages 682-687, 1997. A. Godbole, S. Thompson, and E. Vigoda. General upper bounds for covering numbers. Ars Combinatoria , 42:211-221, 1996. diff --git a/src/data/compiled_bios/4512.txt b/src/data/compiled_bios/4512.txt new file mode 100644 index 0000000000..d77e429b13 --- /dev/null +++ b/src/data/compiled_bios/4512.txt @@ -0,0 +1 @@ + Jun (Jim) Xu Jun (Jim) Xu Professor School of Computer Science Georgia Tech Email: jx AT cc.gatech.edu Phone: 404-385-2168 Fax: 404-385-0332 Teaching Undergraduate Computer Networking I, CS 3251 Fall 2009 Network Algorithmics, CS 6250 Fall 2007 , CS 7260 Fall 2008 , CS 7260 Spring 2010 Computer Networks CS 6250 Fall 2000, Fall 2001 Research on Computer Networks CS 8803, Spring 2002 Undergraduate Computer Networking II CS 4251, Fall 2002, Fall 2003, Fall 2005, Spring 2006. Network Security CS6262, Spring 2003 Network Applications and Services , Spring 2004 [ top ] Awards 2006 and 2008 IBM Faculty Awards for making fundamental contributions to the development of system/network performance evaluation methodologies such as new data streaming algorithms and large deviation techniques. 2006 College of Computing Oustanding Junior Faculty Research Award. Thesis advisor of the student winners, and co-author of the paper that won the Best Student Paper Award from ACM Sigmetrics 2004/IFIP Performance 2004 . NSF CAREER Award for my proposal "Fundamental Lower Bound and Tradeoff Problems in Networking". Ameritech fellowship for outstanding research in telecommunications, September 1999 - August 2000. [ top ] Selected Recent Publications (please click here ) [ top ] Recent Tutorials and Invited Talks (outdated) Sigmetrics 2007 Tutorial on Network Data Streaming slide Network Data Streaming -- A Computer Scientist's Journey in Signal Processing (various versions presented at multiple institutions since 2004) Abstract slide1 slide2 Bio [ top ] Professional Services (outdated) Program Committee, ACM Sigmetrics, 2005 Program Committee, ACM Internet Measurement Conference, 2004 Program Committee, IEEE INFOCOM, 2005 Program Committee, IEEE INFOCOM, 2004 Program Committee, IEEE ICDCS 2004 Program Committee, IEEE ICNP, 2003 Program Committee, IEEE ICC, 2002 Program Committee, IEEE ICDCS, 2001 [ top ] Students Nan Hua , Tongqing Qiu , Haiquan Zhao , Yiyi Huang (co-advised with Prof. Feamster), Qi Zhao (graduated in Aug. 2007 and joined AT&T-Labs Research), Ashwin Lall (was visiting PHD student from U. of Rochester, now my postdoctoral researcher), Abhishek Kumar (graduated in Dec. 2005 and joined Google), Min-Ho Sung (graduated in Aug. 2006 and joined Samsung) [ top ] diff --git a/src/data/compiled_bios/4513.txt b/src/data/compiled_bios/4513.txt new file mode 100644 index 0000000000..e86939876a --- /dev/null +++ b/src/data/compiled_bios/4513.txt @@ -0,0 +1 @@ + Short Biography Ellen Zegura is the Fleming Professor in the School of Computer Science at Georgia Tech. She works in two primary areas, computer networking and computing for social good. In computer networking, she is known for her work on the GT-ITM suite of Internet topology tools, which remain in use 20 years after release. In mobile wireless networking, she and colleagues invented the concept of message ferries to facilitate communications in environments where network connectivity is unreliable and/or sparse. Her work in computing and social good includes work in Liberia, with Native Americans in Southern California, and with residents of the Westside of Atlanta. She is a Fellow of the IEEE, a Fellow of the ACM, and an elected member of the Computing Research Association Board (CRA). Since Fall 2014 she has been on the Executive Board of the CRA. Ellen W. Zegura Fleming Professor School of Computer Science College of Computing, Georgia Tech ewz@cc.gatech.edu http://zegura.org ` diff --git a/src/data/compiled_bios/4514.txt b/src/data/compiled_bios/4514.txt new file mode 100644 index 0000000000..be266cf496 --- /dev/null +++ b/src/data/compiled_bios/4514.txt @@ -0,0 +1 @@ + Qirun Zhang Assistant Professor School of Computer Science Georgia Institute of Technology Office: Klaus Advanced Computing Building 2324 Email: qrzhang@gatech.edu [ Research Interests ] [ Publications ] [ Projects ] [ Course ] [ Service ][ Misc ] [ Contact ] I am an assistant professor in the School of Computer Science at the Georgia Institute of Technology. I completed my Ph.D. in Computer Science and Engineering at The Chinese University of Hong Kong in 2013, and I received my bachelor's degree in Computer Science from Zhejiang University in 2009. I am always looking for motivated and talented students to work with. If you are interested, please contact me . Research Interests My research interests are in the areas of programming languages and software engineering, specifically focusing on techniques for improving software reliability and security. In particular, I enjoy working on program analysis and compiler optimization problems from perspectives such as computational complexity, analytic combinatorics, graph theory, and formal languages. Publications Tianxiao Gu, Chengnian Sun, Xiaoxing Ma, Chun Cao, Chang Xu, Yuan Yao, Qirun Zhang, Jian Lu and Zhendong Su Practical GUI Testing of Android Applications via Model Abstraction and Refinement In Proceedings of International Conference on Software Engineering (ICSE) , 2019 (to appear). Cheng Cai, Qirun Zhang, Zhiqiang Zuo, Khanh Nguyen, Harry Xu and Zhendong Su Calling-to-Reference Context Translation via Constraint-Guided CFL-Reachability. In Proceedings of Programming Language Design and Implementation (PLDI) , 2018 (to appear). Chengnian Sun, Yuanbo Li, Qirun Zhang, Tianxiao Gu and Zhendong Su. Perses: Syntax-Guided Program Reduction. In Proceedings of International Conference on Software Engineering (ICSE) , 2018 (to appear). Qirun Zhang, Chengnian Sun and Zhendong Su. Skeletal Program Enumeration for Rigorous Compiler Testing. In Proceedings of Programming Language Design and Implementation (PLDI) , 2017. [ Paper ][ Project ] Qirun Zhang and Zhendong Su. Context-Sensitive Data-Dependence Analysis via Linear Conjunctive Language Reachability. In Proceedings of Symposium on Principles of Programming Languages (POPL) , 2017. [ Paper ] Chengnian Sun, Vu Le, Qirun Zhang, and Zhendong Su Toward Understanding Compiler Bugs in GCC and LLVM. In Proceedings of International Symposium on Software Testing and Analysis (ISSTA) , 2016. [ Paper ][ Project ] Qirun Zhang, Xiao Xiao, Charles Zhang, Hao Yuan, and Zhendong Su. Efficient subcubic alias analysis for C. In Proceedings of Object Oriented Programming Systems Languages and Applications (OOPSLA) , 2014. [ Paper ] Xiao Xiao, Qirun Zhang, Jinguo Zhou, and Charles Zhang. Persistent pointer information. In Proceedings of Programming Language Design and Implementation (PLDI) , 2014. [ Paper ][ Project ] Qirun Zhang, Michael R. Lyu, Hao Yuan, and Zhendong Su. Fast Algorithms for Dyck-CFL-Reachability with Applications to Alias Analysis. In Proceedings of Programming Language Design and Implementation (PLDI) , 2013. [ Paper ] Qirun Zhang, Wujie Zheng and Michael R. Lyu. Flow-Augmented Call Graph: A New Foundation for Taming API Complexity. In Proceedings of Fundamental Approaches to Software Engineering (FASE) , 2011. [ Paper ][ Project ] Wujie Zheng, Qirun Zhang, and Michael R. Lyu. Cross-Library API Recommendation Using Web Search Engines. In Proceedings of the Symposium on Foundations of Software Engineering (FSE) , New Ideas Track, 2011. [ Paper ] Wujie Zheng, Qirun Zhang, Michael Lyu, and Tao Xie. Random Unit-Test Generation with MUT-aware Sequence Recommendation. In Proceedings of the International Conference on Automated Software Engineering (ASE) , Short Paper, 2010. [ Paper ][ Project ] Ph.D. Thesis Qirun Zhang. Scaling CFL-Reachability-Based Alias Analysis: Theory and Practice. The Chinese University of Hong Kong , September 2013. [ Thesis ] Projects Skeletal Program Enumeration Compiler Bug Study Pestrie RecGen Flow-Augmented Call Graph I have been involved in the following projects as an undergraduate student: a-ddos Unified Linux Kernel Course ECS 122A Algorithm Design and Analysis (Summer Session 2, 2017) Service Program Committee: ISSTA'19, SETTA17, POPL-SRC17 External Review Committee: PLDI'19, PLDI'18 Artifact Evaluation Committee: ISSTA18, PLDI17, ISSTA17 Conference Paper Reviewer: TACAS'19, POPL18, CC17, ISSTA17, CAV17, ICSE17, ICDT16, CAV15, OOPSLA15, FSE15, ICSE14, ISSTA14, FSE14, OOPSLA13, WWW10 Journal Paper Reviewer: JSS'18, TACO'18, TOSEM'18, TOPLAS'18, TSE18, TACO16, TOPLAS15 Misc LaTeX for Logicians Ott Tool Static Program Analysis Contact I use helloqirun@gmail.com as my personal email. Last Updated: 2019-1 . diff --git a/src/data/compiled_bios/4515.txt b/src/data/compiled_bios/4515.txt new file mode 100644 index 0000000000..74a46fbda4 --- /dev/null +++ b/src/data/compiled_bios/4515.txt @@ -0,0 +1 @@ +Ahmed Rubaai L. K. Downing Hall, Suite 3017 (202) 806-6615 arubaai@howard.edu Professor and Chair Doctor of Engineering in Electrical Engineering, Cleveland State University, August 1988 Master of Science in Electrical Engineering, Case Western Reserve University, May 1983 Bachelor of Science in Electrical Engineering, University of Tripoli, Tripoli-Libya, June 1978 About Prof. Rubaai AHMED RUBAAI, Professor of Electrical Engineering, has been named an IEEE Fellow in 2015. He is the Founder and Lead Developer of Motion Control and Drives Laboratory (http://www.controllab.howard.edu) that provides engineering students with valuable hands-on and "real-world" experiences. His work covers a broad range of manufacturing and product applications, and exemplifies his ability to bridge between academic research and the application to industrial applications. Of particular importance is his development of control technologies by way of intelligence; laying the technological foundations for the production versions of high performance drives used in an expansive array of industrial, commercial, and transportation applications today. Prof. Rubaai served as the Chair of the IEEE Industry Applications Society (IAS) Manufacturing Systems Development and Applications Department (20062008), the IAS Industrial Automation and Control Committee (20002002), and the American Society for Engineering Education (ASEE) Division of Experimentation and Laboratory Oriented Studies (20102011). He is currently serving as the Chair of the IAS Publications Department and as an Executive Board Member. AWARDS, HONORS, AND DISTINCTIONS: Named 2015 IEEE Fellow, for Contributions to the Development of High-Performance Controls for Electric Motor Drives. Recipient, 2011 American Society for Engineering Education (ASEE) Robert G. Quinn Award for excellence in engineering experimentation and laboratory instruction. The award consists of a gold-plated medal, and a bronze replica, June 2011. Recipient, 2012 Career Award, College of Engineering, Architecture and Computer Sciences, Howard University (HU), April 2012. Recipient, 2005 Exemplary Teaching Award, HU, April 2005 Recipient, 2001 Distinguished Educator Award, ASEE Middle-Atlantic Section, April 2001. Recipient, 1998 Professor of the Year Award, School of Engineering, HU, March 1998 (voted on by students). Recipient, 1997 Professor of the Year Award, School of Engineering, HU, March 1997 (voted on by students). Inducted into CETLA Hall of Fame, Howard University, March 2006 Recipient, IAS Transactions 2nd Place Prize Paper Award, IEEE IAS, September 2007. Recipient, Best Paper Award, ASEE Division of Experimentation and Laboratory Oriented Studies (DELOS), June 2006. Recipient, IEEE-IAS Transactions Honorable Mention Prize Paper Award, Oct. 2002. Recipient, 3rd Place Prize Paper Award, Industrial Automation and Control Committee (IACC) of the IEEE-IAS, May 2010 Recipient, 2nd Place Prize Paper Award, IACC of the IEEE-IAS, October 2006 Recipient of a Software Release Award, NASA Glenn, August 2004. Recipient, 2011 Outstanding Service Award, ASEE DELOS, June 2011 Recipient, 2009 Outstanding Service Award, ASEE DELOS, June 2009 Recipient, Leadership and Service Award, IEEE-IAS IACC, Oct. 2004 Prof. Rubaai specializes in experimental research in real-time computing software/hardware systems and control in a broad range of industrial systems applications. Hardware-in-the-loop simulation and rapid prototyping, digital controller prototyping, with an emphasis on dSPACE DSP-based control architectures. RESEARCH INTEREST: Prof. Rubaai's research interests include high performance motor drives and their related knowledge-based control structure, motion control business, building automation and smart homes, variable frequency power electronic motor drives, research and development of intelligent applications, with an emphasis on emerging applications in areas ranging from robotics, mechatronics, renewable energy, autonomous control systems for unmanned aerial and ground vehicles, and research applications related to hardware instrumentation and coordination algorithms for multiple vehicle autonomous systems. REPRESENTATIVE PUBLICATIONS: 1. Saleh Saleh and Ahmed Rubaai, The Development and Performance Evaluation of a Frame-Angle-Based Direct Torque Controller for PMSM Drives, IEEE Transactions on Industry Applications, Vol.54, no. 3, pp. 2806-2820, May/June 2018 2. William H. Allen, Ahmed Rubaai and Ramesh Chawla, Fuzzy Neural Network-Based Health Monitoring for HVAC System Variable-Air-Volume Unit, IEEE Transactions on Industry Applications, Vol. 51, no.3, May/June, 2016. 3. Ahmed Rubaai and P. Young, Hardware/Software Implementation of Fuzzy-Neural-Network Self-Learning Control Methods for Brushless DC Motor Drives, IEEE Transactions on Industry Applications, Vol. 51, no.1, pp. 414-424, Jan/ Feb, 2016. 4. Ahmed Rubaai and J. Jerry, Hybrid Fuzzy Bang-Bang Mode Controller with Switching Function for Electric Motor Drives Applications, IEEE Transactions on Industry Applications, Vol. 50, no.3, pp. 2269-2276, May/June 2104. 5. Ahmed Rubaai and P. Young, EKF-Based PI/PD-Like Fuzzy Neural Network Controller for Brushless Drives, IEEE Transactions on Industry Applications, Vol. 47, No. 6, pp. 2391-2401, Nov./Dec 2011 6. Ahmed Rubaai, J. Jerry, and S. Smith, Performance Evaluation of Fuzzy Switching Position Controller for Automation and Process Industry Control, IEEE Transactions on Industry Applications, Vol. 47, No. 5, pp. 2274-2282, Sept/Oct 2011. 7. Ahmed Rubaai, M. J. Castro-Sitiriche, and A. Ofoli DSP-Based Laboratory Implementation of Fuzzy-PID Controller using Genetic Optimization for High Performance Motor Drives IEEE Transactions on Industry Applications, Vol. 44, No. 6, pp. 1977-1986, Nov/Dec 2008. 8. Ahmed Rubaai, M. J. Castro-Sitiriche, and A. Ofoli, Design and Implementation of Parallel Fuzzy-PID Controller for High Performance Brushless Motor Drives: An Integrated Environment for Rapid Control Prototyping, IEEE Transactions on Industry Applications, Vol. 44, No. 4, pp. 1090-1098, July/August 2008. 9. Ahmed Rubaai, M. J. Castro-Sitiriche, M. Garuba, and L. Burge III, Implementation of Artificial Neural Network-Based Tracking Controller for High Performance Stepper Motor Drives, IEEE Transactions on Industrial Electronics, Vol. 54, No. 1, PP. 218-227, Feb. 2007. 10. Ahmed Rubaai and A. Ofoli, DSP Based Real-Time Implementation of a Hybrid H Adaptive Fuzzy Tracking Controller for Servo-Motor Drives, IEEE Transactions on Industry Applications, Vol. 44, No. 2, PP. 476-484, March/ April 2007. 11. A. Ofoli and Ahmed Rubaai, Real-Time Implementation of a Fuzzy Logic Controller for Switch Mode Power Stage DC-DC Converters, IEEE Transactions on Industry Applications, Vol. 43, No. 6, PP. 1367-1374, Nov. /Dec. 2006 12. Ahmed Rubaai, A. Ofoli, L. Burge III, and M. Garuba, Hardware Implementation of an Adaptive Network-Based Fuzzy Controller for DC-DC Converters, IEEE Transactions on Industry Applications, Vol. 42, No. 6, pp. 1557-1565, Nov. /Dec. 2005. 13. Ahmed Rubaai, A. Ofoli, and D. Cobbinah, Two-Layer Supervisory Controller-Based Thyristor Controlled Braking Resistor for Transient Stability Crisis, IEEE Transactions on Industry Applications, Vol. 42, No. 6, pp. 1539-1547, Nov. /Dec. 2005 14. Ahmed Rubaai and A. Ofoli, Multi-Layer Fuzzy Controller for Control of Power Networks, IEEE Transactions on Industry Applications, Vol. 40, No. 6, pp. 1521-1528, Nov. /Dec. 2004. 15. Ahmed Rubaai, A Neural-Net-Based Device for Monitoring Amtrak Railroad Track System, IEEE Transactions on Industry Applications, Vol. 39, No. 2, pp. 374-381, March/April 2003. 16. Ahmed Rubaai, Design and Implementation of an Intelligent Position Controller-Based Adaptive Self-Tuning Drive System, IEEE Transactions on Industry Applications, Vol. 39, No. 3, pp. 627-636, May/June 2003. Linear Control Systems, Control Systems Laboratory, Energy Conversion, Energy Conversion Laboratory, Network Analysis I, Network Analysis II, Digital Control I, Digital Control II, Optimization Theory, Optimal Control Theory, Principles of Electronics, Linear Systems Theory, Introduction to Electric Laboratory, Introduction to Engineering (Team taught). diff --git a/src/data/compiled_bios/4516.txt b/src/data/compiled_bios/4516.txt new file mode 100644 index 0000000000..85db0ad046 --- /dev/null +++ b/src/data/compiled_bios/4516.txt @@ -0,0 +1 @@ +Michaela Amoo L.K. Downing Hall, Room 3008 (202)806-6590 mamoo@howard.edu Assistant Professor Howard University, Washington DC, 20059. Electrical Engineering Ph.D. 2016 Howard University, Washington DC, 20059. Electrical Engineering M.Eng. 2015 Howard University, Washington DC, 20059. Mathematics B.S. 2001 Howard University, Washington DC, 20059. Philosophy B.A. 2001 Howard University, Washington DC, 20059. Insurance/Actuarial B.S. 2001 C. Gloster, W. Gay, M. Amoo, "Multiple-Memory Application-Specific Digital Signal Processor,'' United States Patent No. 9111068, 18th August 2015. M. E. Amoo, et al., "An Automated Design Framework for Floating Point Scientific Algorithms using Field Programmable Gate Arrays,'' Proceedings: ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA '15). Pages 263-263, Monterey, California. 2015. M. Amoo and C. Gloster, "FPGA Implementation of an Analytic Design Method for a Cycle Optimal 2D-DCT/IDCT, '' Proceedings: Engineering of Reconfigurable Systems and Algorithms (ERSA '07), Las Vegas, June 2007. M. Amoo and C. Gloster, "Floating-Point Design,'' Technical Report GWT-TR-200-03-0002. Global World Technology, LLC. Takoma Park, MD. May 2007. M. Amoo and C. Gloster, "Bison Reconfigurable Processor (BRCP) Methodology and Design,'' Technical Report GWT-TR-200-03-0003. Global World Technology, LLC. Takoma Park, MD. May 2007. M. Amoo and C. Gloster, "An Analytic Method for an Optimal {2D-DCT} Design,'' Technical Report GWT-TR-200-03-0004. Global World Technology, LLC. Takoma Park, MD. May 2007. C. Gloster, W. Gay, M. Amoo, and M. Chouikha, "Optimizing the Design of a Configurable Digital Signal Processor for Accelerated Execution of the 2-D Discrete Cosine Transform,'' 39th Annual Hawaii International Conference on System Sciences, Kauai, Hawaii, January 2006. diff --git a/src/data/compiled_bios/4517.txt b/src/data/compiled_bios/4517.txt new file mode 100644 index 0000000000..2edf23ca43 --- /dev/null +++ b/src/data/compiled_bios/4517.txt @@ -0,0 +1 @@ +John M.M. Anderson L K Downing Hall, Room 3006 (202) 806-4490 j_m_anderson@howard.edu Professor Brown University, 1985, Sc.B, Electrical Engineering Georgia Institute of Technology, 1987, MSEE, Electrical Engineering University of Virginia, 1992, Ph.D., Electrical Engineering Image Processing, Signal Processing, Medical Imaging Dr. Anderson's general research interests lie in the areas of signal and image processing. Currently, the problem of reconstructing images for impulse and step frequency ground penetrating radar systems is receiving his greatest attention. In the past, he as developed image reconstruction algorithms for medical imaging modalities such as positron emission tomography and X-ray computed tomography. 1. Fundamentals of Signals and Systems 2. Communications Theory 3. Probability and Random Variables 4. Signal Processing I, II 5. Math Laboratory I, II diff --git a/src/data/compiled_bios/4518.txt b/src/data/compiled_bios/4518.txt new file mode 100644 index 0000000000..74dbd03c0f --- /dev/null +++ b/src/data/compiled_bios/4518.txt @@ -0,0 +1 @@ +Gedare Bloom LKD Room 2038 202-806-4822 gedare.bloom@howard.edu Assistant Professor Ph.D. The George Washington University, Computer Science, 2013 M.S. The George Washington University, Computer Science B.S. Michigan Technological University, Computer Science, Mathematical Sciences Website: https://gedare.github.io Embedded Systems Computer Security Cyber-Physical Systems Real-Time Systems Operating Systems Computer Architecture Safety and Security of Cyber-Physical Systems Resilient Critical Infrastructure Automotive Security Device Security in the Internet of Things Computer Organization I, Computer Organization II, Operating Systems, Advanced Operating Systems, Computer Architecture Dr. Bloom is an assistant professor in the Department of Electrical Engineering and Computer Science at Howard University where he directs the Embedded Systems Security Lab. His research expertise is computer system security with particular focus on real-time embedded systems in critical infrastructure that have measurable lifetimes in decades. The techniques he applies to solve problems along the hardware-software interface range from computer architecture, computer security, cryptography, operating systems, and real-time analysis. He is also a maintainer for the RTEMS open-source hard real-time OS, which is used in robotics frameworks, unmanned vehicles, satellites and space probes, automotive, defense, building automation, medical devices, industrial controllers, and more. I enjoy working with open-source projects, kernel hacking, riding my bicycles, hiking, and cooking. vitae-gedare.pdf Selected/Recent (See CV for full list) E. Nwafor, A. Campbell, D. Hill, and G. Bloom, Towards a Provenance Collection Framework for Internet of Things Devices, 14th IEEE International Conference on Ubiquitous Intelligence and Computing (UIC), August 2017. G. Bloom, G. Cena, I. Cibrario Bertolotti, T. Hu, and A. Valenzano, Supporting Security Protocols on CAN-Based Networks, 18th Annual IEEE International Conference on Industrial Technology (IEEE ICIT '17), March 2017. C. Young, J. Zambreno, and G. Bloom, Towards a Fail-Operational Intrusion Detection System for In-Vehicle Networks, 1st Workshop on Security and Dependability of Critical Embedded Real-Time Systems (CERTS '16), November 2016. S. Gadia, C. Artho, and G. Bloom, Verifying Nested Lock Priority Inheritance in RTEMS with Java Pathfinder, 18th International Conference on Formal Engineering Methods (ICFEM '16), November 2016. Y. Ren, G. Parmer, T. Georgiev, and G. Bloom CBufs: Efficient, System-wide Memory Management and Sharing, 2016 ACM SIGPLAN International Symposium on Memory Management (ISMM'16), June 2016. J. Song, G. Bloom, and G. Parmer. SuperGlue: IDL-Based, System-Level Fault Tolerance for Embedded Systems, 46th IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2016), June 2016. G. Bloom and R. Simha. Hardware-Enhanced Distributed Access Enforcement for Role-Based Access Control, Proceedings of the 19th ACM Symposium on Access Control Models and Technologies, SACMAT '14, June 2014. G. Bloom, G. Parmer, B. Narahari, and R. Simha, Shared Hardware Data Structures for Hard Real-Time Systems, 12th International Conference on Embedded Software. EMSOFT. October 2012 diff --git a/src/data/compiled_bios/4519.txt b/src/data/compiled_bios/4519.txt new file mode 100644 index 0000000000..5fbf9f419b --- /dev/null +++ b/src/data/compiled_bios/4519.txt @@ -0,0 +1 @@ +Peter Bofah L.K. Downing Hall, Room 3012 (202) 806-4819 pbofah@howard.edu Associate Professor PhD (1985) Electrical Engineering, Howard University MS (1972) Electrical Engineering, University of Nebraska-Lincoln BS (1971) Electrical Engineering, University of Nebraska-Lincoln GCE (1964) Advanced Level (Pre-Engineering) University of London-Achimota School, Ghana diff --git a/src/data/compiled_bios/452.txt b/src/data/compiled_bios/452.txt new file mode 100644 index 0000000000..4f13b92953 --- /dev/null +++ b/src/data/compiled_bios/452.txt @@ -0,0 +1 @@ +Top Dr. Sun Aixin is an Associate Professor and Assistant Chair (Admissions and Outreach) with School of Computer Science and Engineering ( SCSE ), Nanyang Technological University ( NTU ), Singapore. He received B.A.Sc (1st class honours) and Ph.D. both in Computer Engineering from the same school in 2001 and 2004 respectively. Aixin's research areas include Information Retrivel, Text Mining, Social Computing, and Digital Libraries. Many of his papers appear in leading international conferences and journals in the related areas. Aixin is a member of editorial board for JASIST and Information Retrieval Journal. He has been a PC member of many major conferences such as SIGIR, KDD, and WWW. Email: axsun AT ntu DOT edu DOT sg Phone: (+65) 6790 5139 Office: N4-2C-102 Professional services Editorial board member, JASIST , John Wiley & Sons. Editorial board member, Information Retrieval Journal , Springer Associate Editor, Neurocomputing , Elsevier PC Member 2019: WWW, WSDM, SIGIR PC Member 2018: WWW, AAAI, WSDM, SIGIR, PAKDD, ICDM (Demo Co-Chair) PC Member 2017: WSDM, AAAI, SIGIR, AIRS, DSAA, CIKM (Demo Co-Chair), ADMA (General Chair) PC Member 2016: WWW, KDD, AAAI, IJCAI, CIKM, PAKDD, SIGIR (Short paper), EMNLP Recent papers Aspect-level Sentiment Analysis using AS-Capsules Yequan Wang, Aixin Sun, Minlie Huang, Xiaoyan Zhu. WWW. Apr 2019 NLP Learning Travel Time Distributions with Deep Generative Model Xiucheng Li, Gao Cong, Aixin Sun, Yun Cheng. WWW. Apr 2019 Deep Learning based Recommender System: A Survey and New Perspectives [ PDF@RG ] Shuai Zhang, Lina Yao, Aixin Sun, and Yi Tay. ACM Computing Surveys. Accepted in 2018 RecSys Towards Effective Extraction and Linking of Software Mentions from User-Generated Support Tickets. Jianglei Han, Ka Hian Goh, Aixin Sun, and Mohammad Akbari. ACM CIKM. Oct 2018 NER Pair-Linking for Collective Entity Disambiguation: Two Could Be Better Than All [ PDF@arXiv ] Minh C. Phan, Aixin Sun, Yi Tay, Jialong Han, and Chenliang Li. TKDE. Accpeted in 2018 NER Will your paper get promoted by a citation? A case study of citation promoter in computer science discipline Feiheng Luo, Aixin Sun, Aravind Sesagiri Raamkumar, Mojisola Erdt, and Yin-Leng Theng. IEEE Trans. on Emerging Topics in Computing. Accpeted in 2018 Bib Collecting Event-related Tweets from Twitter Stream Xin Zheng, Aixin Sun. JASIST. Accpeted in 2018 Twitter IR Learning-Based Outdoor Localization Exploiting Crowd-Labeled WiFi Hotspots Jin Wang, Jun Luo, Sinno Jialin Pan and Aixin Sun. IEEE TMC. Accpeted in 2018 To Do or Not To Do: Distill Crowdsourced Negative Caveats to Augment API Documentation Jing Li, Aixin Sun, and Zhenchang Xing. JASIST. Accpeted in 2018 IR Seed-driven Document Ranking for Systematic Reviews in Evidence-Based Medicine [ PDF@RG ] [ Slides ] Grace E. Lee and Aixin Sun. ACM SIGIR. July 2018 Health IR SegBot: A Generic Neural Text Segmentation Model with Pointer Network [ Demo Link ] Jing Li, Aixin Sun, and Shafiq Joty. IJCAI. July 2018 NLP NeuRec: On Nonlinear Transformation for Personalized Ranking Shuai Zhang; Lina Yao; Aixin Sun; Sen Wang; Guodong Long; Manqing Dong. IJCAI. July 2018 RecSys Killing Two Birds With One Stone: Concurrent Ranking of Tags and Comments of Social Images Boon-Siew Seah, Aixin Sun, and Sourav S Bhowmick. ACM SIGIR (Short paper). July 2018 IR CoNEREL: Collective Information Extraction in News Articles [ Demo Video ] Minh C. Phan and Aixin Sun. ACM SIGIR (Demo paper). July 2018 NER IR API Caveat Explorer: Surfacing Negative Usages from Practice [ Demo Link ] Jing Li, Aixin Sun, Zhenchang Xing, and Lei Han. ACM SIGIR (Demo paper). July 2018 IR Working draft A Survey on Deep Learning for Named Entity Recognition [ PDF@RG arXiv ] Jing Li, Aixin Sun, Jianglei Han and Chenliang Li. Dec 2018 NER NLP IR Selected publications News Dec 2018. Dr. Li Jing has prepared a survey paper on DL+NER: "A Survey on Deep Learning for Named Entity Recognition" PDF@RG arXiv NER NLP IR Oct 2018. "Deep Learning based Recommender System: A Survey and New Perspectives" is accepted to appear in ACM Computing Surveys. PDF@RG arXiv RecSys Aug 2018. Our paper A Survey of Location Prediction on Twitter is now published by TKDE Twitter POI Aug 2018. Congratulations to Jianglei for his first CIKM paper! July 2018. Congratulations to Minh for the Pair-Linking paper acceptance to TKDE. July 2018. Grace presented our work on seed-driven document ranking in the Medical IR session @ SIGIR 2018. Health Read more Publications Most of recent papers are here Projects My research team and projects Datasets Datasets used in our research Teaching An instructor and tutor Project demonstrations SegBot for Discourse Segmentation API Caveat Explorer Exploring and Comparing Paper Downloads Entity Recognition and Linking diff --git a/src/data/compiled_bios/4520.txt b/src/data/compiled_bios/4520.txt new file mode 100644 index 0000000000..0e8e466af2 --- /dev/null +++ b/src/data/compiled_bios/4520.txt @@ -0,0 +1 @@ +Legand L. Burge, III L.K. Downing Hall, Room 2040 202-806-4852 lburge@howard.edu Professor Certificate (1990), Cryptology, National Cryptologic School B.S. (1992), Computer and Information Science / Mathematics, Langston University M.S. (1995), Computer Science, Oklahoma State University Ph.D. (1998), Computer Science, Oklahoma State University Operating Systems Distributed / Parallel Computing Middleware Mobile Computing Context-aware Computing Telehealth Information Systems Design/Development Mobile Middleware Mobile Computing Computational Biology (Application of HPC for Protein Identification Problems) CS Education / Diversity Operating Systems, Advanced Operating Systems, Web Services, Structure of Programming Languages, Computer Architecture, CS 0 - Intro. to Computer Science, Large Scale Programming, Mobile Application Development, Lean LaunchPad, Design Thinking, Bison Startup, Bison Accelerate, Special Topics in Advanced WWW Applications. Dr. Burge's research interests lie in the field of distributed computing. The primary thrust of his current research is in global resource management in large-scale distributed systems. In particular, he is interested in middleware technology to support scalable infrastructures for pervasive environments capable of servicing a very large number of small (possibly mobile) distributed and embedded devices efficiently. He is also interested in the application of distributed high performance computing to solve computational science problems in Biology, Physics, and Chemistry. Dr. Burge is currently the director of the Distributed Systems Research Group (DSRG) and associate director of the Center for Applied High Performance Computing at Howard University. Dr. Burge is also interested in Computer Science Education and Diversity, and Tech Innovation and Entrepreneurship. Dr. Burge is a AAAS Fellow, and Fulbright Scholar recipient. Prior to coming to Howard University Dr. Burge worked for the National Security Agency as a Computer Analyst for 5 years, and as a computer consultant for several years. Dr. Burge's previous research includes consistency management in distributed databases, and message passing libraries for distributed parallel computing. The work on consistency management is aimed at developing lightweight protocols that communicate using epidemic algorithms. The distributed parallel computing work consisted of the design and development of an actor-based message passing and thread migration package for Java. The package was used to design a campus wide non-dedicated meta-computer that distributed, and performed load balancing of computations based on CPU cycle stealing. In his spare time, Dr. Burge enjoys playing the piano, swimming, cycling, traveling, and teaching Tae Kwon Do and Hapkido. burge_cv17_long.pdf 1. Jabu Mtsweni, Ernest Ketcha Ngassam, Legand Burge A profile-aware microtasking approach for improving task assignment in crowdsourcing services, 2016 IST-Africa Conference, 11 - 13 May 2016, Durban, South Africa, DOI: 10.1109/ISTAFRICA.2016.7530702. 2. Marlon Mejias, Ketly Jean-Pierre, QiAnne Knox, Elizabeth Ricks, Legand Burge III,A. Nicki Washington, Meaningful Gamification of a Computer Science Department: Considerations and Challenges, 2015 Int'l Conf. Frontiers in Education: CS and CE, p10-16. 3. Washington, A. N. and Burge, L., Mejias, M. , and Jean-Pierre, K. , Knox, Q. Bridging the Divide: Developing Culturally-Responsive Curriculum for K-12 Computer Science Education, SIGCSE '15 Proceedings of the 46th ACM Technical Symposium on Computer Science Education, p. 707-707. 4. Washington, A. N. and Burge, L., Mejias, M. , and Jean-Pierre, K. , Knox, Q. "Improving Undergraduate Student Performance in Computer Science at Historically Black Colleges and Universities (HBCUs) through Industry Partnerships", SIGCSE '15 Proceedings of the 46th ACM Technical Symposium on Computer Science Education, p. 203-206. 5. Jabu Mtsweni, Legand Burge, The Potential Benefits of Mobile Microwork Services in Developing Nations: Research Opportunities and Challenges, IST-Africa 2014 Conference Proceedings, p1-10, May 2014. 6. Hui Li, Chunmei Liu, Feras Yousef; Mugizi Rwebangira, Legand Burge, Mono-isotope Prediction for Mass Spectra Using Bayesian Network , TSINGHUA SCIENCE AND TECHNOLOGY ISSN 1007-0214 06/10 pp617-623 Volume 19, Number 6, December 2014. 7. Kamal Al Nasr, Chunmei Liu, Mugizi Rwebangira, Legand Burge, Jing He, Intensity-Based Skeletonization of CryoEM Grayscale Images Using a True Segmentation-Free Algorithm, IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 10, no. 5, pp. 1289 - 1298 (9/2013). 8. A. Brereton, G. Warner, L. Burge, An Adaptive Computational Model for Predicting the Density Distribution of the Proximal Femur, Journal on Computing (JoC) Vol.1 No.4, p. 18-23, January 2012 9. Ronald J. Leach; Todd Shurn; Legand L. Burge; Peter A. Keiller; John Trimble A service model for improving healthcare delivery in rural developing communities International Journal of Services, Economics and Management (IJSEM), Vol. 4, No. 1, 2012. 10. Washington, A. N. and Burge, L., Mejias, M. , and Jean-Pierre, K. The Partnership for Early Engagement in Computer Science (PEECS) Program: Teaching African-American Middle-School Students Computer Science, Proceedings of the 2012 International Conference on Frontiers in Education: Computer Science and Computer Engineering (FECS'12), 2012, USA 11. Hui Li, Jean-Claude Tounkara, Legand Burge, Chunmei Liu, " A rapid 3D protein Structural Classification using Pseudo 2D HMMs", in GRC '12 Proceedings of the 2012 IEEE International Conference on Granular Computing (GrC-2012), p. 742-745. 12. Kyung Dae Ko, Chunmei Liu, Amen Ra Mashariki, Legand Burge, SMISB: A system for Managing Minimum Information from omics' studies in systems biology. CIBCB 2012: 164-168. diff --git a/src/data/compiled_bios/4521.txt b/src/data/compiled_bios/4521.txt new file mode 100644 index 0000000000..6d7d511ad0 --- /dev/null +++ b/src/data/compiled_bios/4521.txt @@ -0,0 +1 @@ +Mohamed Chouikha L.K. Downing Hall, Room 1022 202-806-4816 mchouikha@howard.edu Professor B.Sc., Electrical Engineering, 1980. Polytechnic University, Prague, Czechoslovakia M.Sc., Electrical Engineering, 1985. University of Colorado, Boulder, Colorado Ph.D., Electrical Engineering, 1988. University of Colorado, Boulder, Colorado Signal processing, Detection and estimation, Data fusion Signal and information processing, machine learning, Hardware and software security, engineering education. Recent Grants Enhance Engineering Education in HBCUs with the Mobile Studio and Analog Discovery, NSF, $3,890,000 Extracting Meaning from African Languages, Army Research Office, $2,800,000 Center For Academic Excellence, ODNI, $1,250,000 Counterfeit parts detection by Infrared imaging, MDA, $1,000,00 GEARUP, International research experience for Undergraduate Students, Co-Pi, NSF, $2,500,000 Smart Lighting, ERC, NSF, Principal Investigator: Rensselaer Polytechnic Institute, with the following collaborators: Morgan State U, RHI, University of New Mexico, Boston U, $500, 00 Signals and Systems Signal Processing Communications, System identification Probability and Random Variable Stochastic processes Circuit theory Digital Systems Computer networks Introduction to engineering Linear Control Senior design Mohamed F. Chouikha is a Professor of Electrical Engineering at Howard University. Dr. Chouikha received his Ph.D. from the University of Colorado in Boulder. He is a Senior Member of IEEE with primary expertise in signal processing and in detection and estimation. During the last 28 years his research activity has been quite diverse. His funded research areas include sensory data fusion, adaptive signal processing, statistical machine learning with application to pattern recognition, human detection in infrared imaging, advanced perception for XUV, wireless communication and intelligent signal processing and control. Lately, he was also involved in developing new tools for engineering education namely the mobile studio. During his tenure at Howard he has published over 120 publications, supervised three Post-docs, produced 15 PhDs and twice as much Masters. He is a founding Director of the Washington Academy of Biomedical Engineering. He has been a consultant to a number of companies in the Washington area , since 1988 he has been with the Department of Electrical and Computer Engineering at Howard University, where he is a Full Professor of Electrical and Computer Engineering. In July 2000 he became the Chair of the EE Department. In 2004, he established a new Computer Engineering program within the Department of Electrical Engineering, since then renamed as the Department of Electrical and Computer Engineering at Howard University. He was also the Director of the IC-Center of Academic Excellence and he was the founding and first Director of the Center of Applied High Performance Computing, and one of the founding Directors of the Washington Academy of Biomedical Engineering. His research interest covers many subjects including but not limited to Statistical Machine Learning, Signal Processing, Communications, and Control. He has performed research in the areas of Classification and Compression, Automatic Target Recognition, and Automatic Diagnosis of Medical Images and Computer Vision. He has also conducted research in detection and estimation, real time signal processing, modeling and simulation of computer communication networks, automatic test pattern generation and verification of complex digital systems, in simulation and modeling of Agile and distributed Control of multi-agent autonomous group robots and nonlinear signal processing. His current research is in Medical image processing, Speech processing and language translation; and the application of High performance grid computing to data fusion in decision making. Most of Dr. Chouikha research has been supported by federal agencies, foundations and industry, he has published more than 120 journals and conference papers with as many citations.. Dr. Chouikha has been actively involved in graduate training in engineering and imaging technology . He has supervised many Masters, PhDs, and Post-doctoral students. He has also introduced changes in the graduate and undergraduate curricula to reflect modern trends in the 21st century including but not limited to the introduction of courses in entrepreneurship and in research for undergraduate. He also developed a committee of industrial partners that provides input for continuous improvement of the curriculum. Another focus is on enhancing the recruitment and retention of underrepresented minorities in the STEM areas in general and engineering in particular. To that end Dr. Chouikha is working with colleagues from Howard and other institutions on developing new instruction delivery methods based on hands on learning. This work has been supported for many years by the National Science Foundation. Dr. Chouikha is a recipient of numerous awards from Howard and other institutions. He continues to advise graduate and undergraduate students, to date he has graduated 15PhDs, 30 Masters, 3 Post-docs and a larger number of undergraduate students. His overall grant portfolio has exceeded $20M. He is a program evaluator for National and international ABET Electrical and Computer Engineering Programs. [1] EK. Bowman , N. Kamwangamalu, H. Roy, A. Tovares, S Kase, M. Vanni,, M. Chouikha, M. Rwebangiara Exploring Social Meaning in Online Bi-Lingual Text through Social Network, Analysis , (Submitted Journal computational Linguistics, 2015) [2] Isaac J. Collins, Preston D. Frazier, E. Thomas Gilmore, M. F. Chouikha Industry Study of Supply Chain Risk Management Practices and Ways to Improve Hardware Reliability Accepted IEE Transactions on Reliability, 2015 [3] A Ramirez, A Taylor, M Rwebangira, M Chouikha, Levin Automated detection of social structure from transcripts of conversations., Academia Journal of Scientific , 2015 [4] A A Ramirez M. Chouikha Rebound of Region of Interest (RROI), a New Kernel-based Algorithm for Video Object Tracking Applications, Journal of SIP, 201 [5] Isaac J. Collins, M.F.Chouikha, Infrared analysis for Counterfeit electronics parts detection and Supply Chain validation Journal of Environment Systems and Devices, Volume 33, Number 4, 2014 [6] Alarcon-Ramirez, Chouikha M., Rebound of Region of Interest (RROI), a New Kernel-based Algorithm for Video Object Tracking Applications. Journal of Signal and Information Processing, 2013. [7] Andres Alarcon Ramirez, Mohamed Chouikha, A New Algorithm for Tracking Objects in Videos of Cluttered Scenes, International Journal of Information Technology, Modeling and Computing (IJITMC), 2013. [8] Alarcon-Ramirez, Chouikha M., Implementation of a New Methodology to Reduce the Effects of Changes of Illumination in Face recognition-based Authentication, Journal on Cryptography and Information Security (IJCIS), v. 2, p. 13, 2012 [9] Mona Elshinawy, M. Chouikha Pre-Cad Detection of Normal Tissue , Journal of Digital Imaging , November 2011 diff --git a/src/data/compiled_bios/4522.txt b/src/data/compiled_bios/4522.txt new file mode 100644 index 0000000000..09bbc480e0 --- /dev/null +++ b/src/data/compiled_bios/4522.txt @@ -0,0 +1 @@ +Moses Garuba Office of the Dean, 2366 6th Street, N.W., Suite 100 202-806-4371 mgaruba@howard.edu Professor Ph.D., Royal Holloway College, University of London M.C.S., Howard University, Washington DC M.Sc., Queen Mary's College, University of London Information Security Internet Law and Policy Database Security Models Trusted Database Management Systems Information Privacy Law Secure Query Optimization Trust and Federated Identity Management Role-based Privilege Management Systems Introductory Programming, Advanced Data Structures, Computer Architecture, Advanced Operating Systems, Advanced Algorithms, Database Systems, Parallel Computing, Cybersecurity I, II. diff --git a/src/data/compiled_bios/4523.txt b/src/data/compiled_bios/4523.txt new file mode 100644 index 0000000000..d445147520 --- /dev/null +++ b/src/data/compiled_bios/4523.txt @@ -0,0 +1 @@ +Tepper L. Gill (202) 806-6686 tgill@howard.edu Professor Education Ph.D., Mathematics, Wayne State University, 1974. M.S., Applied Mathematics, Wayne State University, 1969. B.S., Mathematics and Physics, Wayne State University, 1966. Courses Taught Probability and Random Processes. Estimation and Detection. Markov Processes and Stochastic differential equations. Engineering Analysis. Research Classical and Quantum Electrodynamics, Atomic Structure and Orbital Dynamics Stochastic Analysis, infinite-dimensional analysis and applications. Path Integrals, Feynman Operator Calculus and Applications resume diff --git a/src/data/compiled_bios/4524.txt b/src/data/compiled_bios/4524.txt new file mode 100644 index 0000000000..672d2da225 --- /dev/null +++ b/src/data/compiled_bios/4524.txt @@ -0,0 +1 @@ +Gary L. Harris (202) 806-6618 gharris@msrce.howard.edu Professor diff --git a/src/data/compiled_bios/4525.txt b/src/data/compiled_bios/4525.txt new file mode 100644 index 0000000000..24c8d590fb --- /dev/null +++ b/src/data/compiled_bios/4525.txt @@ -0,0 +1 @@ +Harry Keeling 1016 Downing Hall 202-806-2207 hkeeling@howard.edu Associate Professor and Howard West Executive Director Ph.D., Information Technology, George Mason University, Fairfax, VA, 1998 M.S., Computer Science, George Washington University, Washington, DC, 1980 B.S., Mathematics, Georgetown University, Washington, DC, 1972 Intelligent Tutoring Systems Machine Learning Artificial Intelligence Semantic Web Ontologies Knowledge Engineering and Management Computer Science I, II and III, Systems Management Analysis, Expert Systems, Structure of Programming Language, Artificial Intelligence. diff --git a/src/data/compiled_bios/4526.txt b/src/data/compiled_bios/4526.txt new file mode 100644 index 0000000000..2074242161 --- /dev/null +++ b/src/data/compiled_bios/4526.txt @@ -0,0 +1 @@ +Peter A. Keiller 2112 Downing Hall 202-806-4828 pkeiller@howard.edu Associate Professor DSc., Engineering Management, George Washington University, Washington, DC, 1996 App.Sc., Operations Research, George Washington University, Washington, DC, 1983 M.S., Operations Research,George Washington University, Washington, DC, 1982 M.S., Computer Science, Howard University, Washington, DC, 1974 B.S., Civil Engineering, Howard University, Washington, DC, 1972 Software Engineering Operations Research Data Mining Engineering Management Software Engineering Process Reliability Engineering Statistical Modeling and Analysis Software Engineering, Operations Research, Systems I and II, Performance Modeling diff --git a/src/data/compiled_bios/4527.txt b/src/data/compiled_bios/4527.txt new file mode 100644 index 0000000000..6488491ef5 --- /dev/null +++ b/src/data/compiled_bios/4527.txt @@ -0,0 +1 @@ +Charles Kim 3014 Downing Hall (202) 806-4821 ckim@howard.edu Professor Ph. D. Electrical Engineering, Texas A&M University(1989) 1. Fault Anticipation &Predictive Location; Physics of Failure 2. Cellular Automata (www.mwftr.com/CA.html) 3. Entropy Minimax in Decision Making and Data Mining 4. Embedded Systems and System Safety and Security 1. Predictive Location of Incipient/Transient Underground Cable Faults 2. Electro-Thermal Diagnosis of Power Electronic Switches and Drives (www.mwftr.com/POETST2HU.html) 3. Vertically Integrated Projects (VIP) Program for STEM Education (www.mwftr.com/VIPatHOWARD.html) 4. Renewable Source Micro-Grid 5. Information Entropy and Decision-Assist Microcomputer Design(www.mwftr.com/UC.html) Embedded Systems Design Lab (www.mwftr.com/emblab.html) Computer Bus and SoC Interfacing Computers and Nuclear Energy Computers and Safety-Critical Systems (www.mwftr.com/CS2.html) Embedded Computing Senior Design (www.mwftr.com/SD.html) Fault Detection and Location in Distribution Systems (www.mwftr.com/tkk10.html) Micro-Grid System Design and Optimal Configuration (www.mwftr.com/microgrid.html) Personal webpage: www.mwftr.com CV webpage: www.mwftr.com/charlesk.html diff --git a/src/data/compiled_bios/4528.txt b/src/data/compiled_bios/4528.txt new file mode 100644 index 0000000000..7fb66734db --- /dev/null +++ b/src/data/compiled_bios/4528.txt @@ -0,0 +1 @@ +Jiang Li 2038B Downing Hall 202-806-4861 jli@howard.edu Associate Professor BS Computer Science, University of Science and Technology of China, Hefei, Anhui, China, 1995 MS Computer Science, University of Science and Technology of China, Beijing, Anhui, China, 1998 Ph.D. Computer Science, Rensselaer Polytechnic Institute, Troy, NY, USA 2003 Jiazhen Zhou, Sankardas Roy, Jiang Li, Qingyang Hu, and Yi Qian, "Minimizing the Average Delay of Messages in Pigeon Networks", IEEE Transactions on Communications, 2013, Volume 61, Issue 8, pp.3349-3361. Jiazhen Zhou, Jiang Li, Yi Qian, Sankardas Roy, and Kenneth Mitchell, Quasi-Optimal Dual-Phase Scheduling for Pigeon Networks, IEEE Transactions on Vehicular Technology, Vol.61. No.9, pp.4157-4169, November 2012. Hui Guo, Jiang Li, Rose Qingyang Hu and Yi Qian, HoPM: Multiple Pigeon-assisted Delivery in Delay Tolerant Networks, Wireless Communications and Mobile Computing, 11: n/a. DOI: 10.1002/WCM.1133. Jiazhen Zhou, Jiang Li and Kenneth Mitchell, Adaptive Scheduling of Message Carrying in a Pigeon Network, Journal of Ubiquitous Systems & Pervasive Networks Volume 1, No. 1 (2010) pp. 29-37. DOI: 10.5383/JUSPN.01.01.004. diff --git a/src/data/compiled_bios/4529.txt b/src/data/compiled_bios/4529.txt new file mode 100644 index 0000000000..c614b9088e --- /dev/null +++ b/src/data/compiled_bios/4529.txt @@ -0,0 +1 @@ +Chunmei Liu L.K Downing Hall, Room 2038A (202) 865-0056 chuliu@howard.edu Professor Univ. of Georgia; Athens, GA, Computer Science, Ph.D. 2006 Anhui University, Computer Science and Engineering, M.E. 2002 Anhui University, Computer Science and Engineering, B.E. 1999 Graph Theory Computational Biology Algorithms Complexity Parameterized Complexity Protein identification, Protein-Protein Interaction Graph algorithms for other problems in computational biology Machine learning Advanced Algorithms, Computability and Complexity, Theory of Computation, Computational Biology diff --git a/src/data/compiled_bios/453.txt b/src/data/compiled_bios/453.txt new file mode 100644 index 0000000000..2a75f4f078 --- /dev/null +++ b/src/data/compiled_bios/453.txt @@ -0,0 +1 @@ +Professor Sun Chengzheng PhD( UvA ), PhD( NUDT ), MEng ( ECICT ) School of Computer Engineering Nanyang Technological University Singapore 639798 Office: N4-02b-56 Tel: (65) 6790 4772 Fax: (65) 6792 6559 Mobile : ( 65) 93389268 Email: czsun { at } ntu dot edu dot sg Sun Chengzheng (in Chinese Pin Yin) or Chengzheng Sun (in English) is a Professor in the School of Computer Engineering at Nanyang Technological University in Singapore . He studied wireless telecommunication technology and graduated from North-East University (NEU), Shenyang , China (1973 - 1976). He worked as an electronic engineer at Chengdu Exploration Company in the Department of Steel and Iron Industry in China (1976-1979). He obtained an MPhil degree in computer engineering from East-China Institute of Computing Technology (ECICT), Shanghai , China (1979 - 1982). He worked as a lecturer in the Department of Computer Science and Technology at the University of Electronic Science and Technology of China (UESTC), Chengdu , China (1983-1984). He obtained a Ph.D degree in computer engineering from National University of Defense Technology (NUDT) , Changsha, China (1984-1987). From Jan. 1988 to May 1993, he worked as a research scientist and a senior software engineer in University of Amsterdam ( UvA ) , Philips Research Labs Eindhoven , and the ACE software company in Amsterdam , The Netherlands . He received a second Ph.D degree in computer science from University of Amsterdam , The Netherlands, 1992. From May 1993 to June 2005 , he worked as a Lecturer, Senior Lecturer, Associate Professor, Professor and Chair of Internet Computing (since 1999) i n the School of Information and Communication Technology at Griffith University in Brisbane , Queensland , Australia . He joined Nanyang Technological University , Singapore , on July 1 2005. Professor Suns current research focuses on collaborative Internet/cloud computing, which lies at the intersections of Computer-Supported Cooperative Work (CSCW) , distributed systems and computer communication networks, human-computer interaction, and software engineering. Major applications of his research include: collaborative productivity systems (e.g. collaborative word processors, slide authoring and presentation tools, spreadsheets, web page design tools, graphics drawing tools, and image/photo editors), collaborative design and engineering (e.g. collaborative Computer-Aided Design (CAD) and Computer-Aided Software Engineering (CASE) systems), and collaborative virtual environments (e.g. collaborative distributed simulation, virtual enterprise, and network-based multi-user games). Professor Sun is on the Editorial Advisory Board of Journal of Computer Supported Cooperative Work (JCSCW) by Kluwer Academic Publishers. Professor Sun holds Adjunct Professor ship positions at Griffith University ( Australia ), National University of Defense Technology ( China ), and Fudan University ( China ). Teaching Subjects Professor Sun has taught subjects on operating systems, computer networks, distributed computing, distributed multimedia systems, complier construction, computer architecture, and programming languages. The following are the current teaching subjects: CSC302: Net-Centric Computing Research Projects Professor Sun is leading the following research and development projects: OT FAQ: Operational Transformation Frequently Asked Questions and Answers Collaborative Computing Technology and Software ( Operational transformation ; Operation context theory and application ; Consistency maintenance ; Group undo ; Conflict resolution ; Responsive and fine-grain locking ; Workspace awareness in concurrent working environments; Group interaction control; Collaboration session management; Transparent adaptation ; Generic Collaboration Engine ; OTXplorer ) Collaborative Office Productivity Tools ( CoWord , CoPowerPoint , CoWriter , CoImpress , CoCalc ); Collaborative Digital Media Design Technology and Tools ( CoMaya , CoFlash , CoPhotoshop ); Collaborative Computer-Aided Design (CAD) Technology and Tools ( CoAutoCAD ) Collaborative Computer-Aided Software Engineering (CASE) Technology and Tools ( CoEclipse ) Presentations, Tutorials and Demos Tech talks in industry: Operational Transformation: a Technology for Supporting Real-time Collaboration over the Internet, Tech talk at Huwei Innovation Center ( Santa Clara , USA ), July 8, 2011. Operational Transformation: a Technology for Supporting Real-time Collaboration over the Internet, Tech talk at Cisco Research Center ( Milpitas , California , USA ). June 10, 2011. Operational Transformation and its Application to Microsoft Office Suite, Talk at Microsoft Research Asia ( Beijing , China ). April 15, 2010. Issues and Experiences in Designing Real-time Collaborative Editing Systems, Tech talk at Google ( Mountain View , USA ), 17 Nov, 2008 Transparent Adaptation of Single-User Applications for Multi-User Real-Rime Collaboration Technologies and Applications: the CoMaya Project, Talk at Autodesk ( San Francisco ), 21 Nov, 2008 Real-time collaborative computing on the Internet: opportunities and challenges , Talk at Nokia Research Center ( Palo Alto , USA ). Nov. 18, 2008. Consistency Maintenance and Group Undo in Real-time Collaborative Editing Systems, Talk at Microsoft Research (Redmond, Seattle , USA ) , 10 Feb, 2003. Tutorials in major conferences: Operational Transformation Theory and Practice: Empowering Real-World Collaborative Applications, A half-day tutorial at ACM Conference on Computer-Supported Cooperative Work 2011, Hangzhou , China , 19 March 2011. Advanced techniques in real-time collaborative system design, a half-day tutorial at ACM Conference on Computer-Supported Cooperative Work, Banff, Calgary, Canada, Nov 5. 2006. An Overview of Consistency Maintenance and Undo Techniques in Real-time Collaborative Systems, a half-day tutorial at ACM Conference on Computer-Supported Cooperative Work, New Orleans, Louisiana, Nov 17. 2002. Demos in major conferences: Exploring Operational Transformation: from Core Algorithms to Real-World Applications, Demonstration at ACM Conference on Computer-Supported Cooperative Work 2011. ( demo description in PDF ). CoMaya : Incorporating Advanced Collaboration Capabilities into 3D Digital Media Design Tools , Demonstration at ACM Conference on Computer-Supported Cooperative Work 200 8 . CoWord and CoPowerPoint : Converting off-the-Shelf Single User Applications for Multiuser Real Time Collaboration, Demonstration at ACM Conference on Computer-Supported Cooperative Work 2004 REDUCE: A Web-based Real-time Collaborative Editor, Demonstration at ACM Conference on Computer-Supported Cooperative Work 2000 Online Software Demo A number of research prototype systems have been developed and publicly demonstrated at the following web site: OTXplorer : a web-based software tool for benchmarking and evaluating real OT systems. CoMaya : an Internet-based real-time collaborative digital media design tool CoFlash : an Internet-based real-time collaborative digital media design tool CoWord : an Internet-based real-time collaborative word processor CoPowerPoint : an Internet-based real-time collaborative multimedia slide creation and presentation system REDUCE: a web-based real time group editor Publications For a comprehensive list of publications by Chengzheng Sun, click the Search button below: For selected publications freely accessible through the ACM Author-Izer service, click the titles below: Journal Articles Yi Xu, Chengzheng Sun : " Conditions and Patterns for Achieving Convergence in OT-based Co-Editors , " IEEE Transactions on Parallel and Distributed Systems, DOI 10.1109/TPDS.2015.2412938, March 2015, 14 Pages . In IEEE Digital Library . David Sun, Chengzheng Sun : " Context-based Operational Transformation in Distributed Collaborative Editing Systems , " IEEE Transactions on Parallel and Distributed Systems, Vol. 20, No. 10, October 2009, pp1454-1470 . In IEEE Digital Library . Chengzheng Sun : " Optional and Responsive Fine-grain Locking in Internet-based Collaborative Systems," IEEE Transactions on Parallel and Distributed Systems, Vol. 13, No. 9, Sept. 2002, pp.994-1008. In IEEE Digital Library . Supporting semantic conflict prevention in real-time collaborative programming environments Hongfei Fan , Chengzheng Sun ACM SIGAPP Applied Computing Review,2012 frames are not supported Achieving Data Consistency by Contextualization in Web-Based Collaborative Applications Haifeng Shen , Chengzheng Sun ACM Transactions on Internet Technology (TOIT),2011 frames are not supported Transparent adaptation of single-user applications for multi-user real-time collaboration Chengzheng Sun , Steven Xia , David Sun , David Chen , Haifeng Shen , Wentong Cai ACM Transactions on Computer-Human Interaction (TOCHI),2006 frames are not supported Consistency maintenance in real-time collaborative graphics editing systems Chengzheng Sun , David Chen ACM Transactions on Computer-Human Interaction (TOCHI),2002 frames are not supported Undo as concurrent inverse in group editors Chengzheng Sun ACM Transactions on Computer-Human Interaction (TOCHI),2002 frames are not supported Achieving convergence, causality preservation, and intention preservation in real-time cooperative editing systems Chengzheng Sun , Xiaohua Jia , Yanchun Zhang , Yun Yang , David Chen ACM Transactions on Computer-Human Interaction (TOCHI),1998 frames are not supported Conference Articles Yang Lu, Yi Xu, Shaojie Zhang, and Chengzheng Sun : " Formal Verification of Operational Transformation," Proc. of 19th International Symposium on Formal Methods, 2014. Lecture Notes in Computer Science Volume 8442, Pages 432-448. In Springer Link . Operational Transformation for Real-time Synchronization of Shared Workspace in Cloud Storage Agustina Ng , Chengzheng Sun GROUP '16 Proceedings of the 19th International Conference on Supporting Group Work, 2016 frames are not supported Exhaustive search of puzzles in operational transformation Chengzheng Sun , Yi Xu , Agustina Agustina CSCW '14 Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing,2014 frames are not supported Achieving convergence in operational transformation: conditions, mechanisms and systems Yi Xu , Chengzheng Sun , Mo Li CSCW '14 Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing,2014 frames are not supported Xpointer: an x-ray telepointer for relaxed-space-time wysiwis and unconstrained collaborative 3d design systems Agustina , Chengzheng Sun CSCW '13 Proceedings of the 2013 conference on Computer supported cooperative work,2013 frames are not supported Dependency-conflict detection in real-time collaborative 3D design systems Agustina , Chengzheng Sun CSCW '13 Proceedings of the 2013 conference on Computer supported cooperative work,2013 frames are not supported Online silk road: nurturing social search through knowledge bartering Yuqing Mao , Haifeng Shen , Chengzheng Sun CSCW '13 Proceedings of the 2013 conference on Computer supported cooperative work,2013 frames are not supported From credit and risk to trust: towards a credit flow based trust model for social networks Yuqing Mao , Haifeng Shen , Chengzheng Sun GROUP '12 Proceedings of the 17th ACM international conference on Supporting group work,2012 frames are not supported ATCoPE: any-time collaborative programming environment for seamless integration of real-time and non-real-time teamwork in software development Hongfei Fan , Chengzheng Sun , Haifeng Shen GROUP '12 Proceedings of the 17th ACM international conference on Supporting group work,2012 frames are not supported Dependency-based automatic locking for semantic conflict prevention in real-time collaborative programming Hongfei Fan , Chengzheng Sun SAC '12 Proceedings of the 27th Annual ACM Symposium on Applied Computing,2012 frames are not supported Operational transformation for dependency conflict resolution in real-time collaborative 3D design systems Agustina , Chengzheng Sun , Dong Xu CSCW '12 Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work,2012 frames are not supported Creative conflict resolution in realtime collaborative editing systems David Sun , Chengzheng Sun , Steven Xia , Haifeng Shen CSCW '12 Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work,2012 frames are not supported Operational transformation for orthogonal conflict resolution in real-time collaborative 2d editing systems Chengzheng Sun , Hongkai Wen , Hongfei Fan CSCW '12 Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work,2012 frames are not supported Televiewpointer: an integrated workspace awareness widget for real-time collaborative 3d design systems Agustina , Chengzheng Sun GROUP '10 Proceedings of the 16th ACM international conference on Supporting group work,2010 frames are not supported Supporting exploratory information seeking by epistemology-based social search Yuqing Mao , Haifeng Shen , Chengzheng Sun IUI '10 Proceedings of the 15th international conference on Intelligent user interfaces,2010 frames are not supported CoMaya: incorporating advanced collaboration capabilities into 3d digital media design tools Agustina , Fei Liu , Steven Xia , Haifeng Shen , Chengzheng Sun CSCW '08 Proceedings of the 2008 ACM conference on Computer supported cooperative work,2008 frames are not supported Operation context and context-based operational transformation David Sun , Chengzheng Sun CSCW '06 Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work,2006 frames are not supported Operational transformation for collaborative word processing David Sun , Steven Xia , Chengzheng Sun , David Chen CSCW '04 Proceedings of the 2004 ACM conference on Computer supported cooperative work,2004 frames are not supported Leveraging single-user applications for multi-user collaboration: the coword approach Steven Xia , David Sun , Chengzheng Sun , David Chen , Haifeng Shen CSCW '04 Proceedings of the 2004 ACM conference on Computer supported cooperative work,2004 frames are not supported Context representation, transformation and comparison for ad hoc product data exchange Jingzhi Guo , Chengzheng Sun DocEng '03 Proceedings of the 2003 ACM symposium on Document engineering,2003 frames are not supported Group unified histories an instrument for productive unconstrained co-browsing Maria Aneiros , Vladimir Estivill-Castro , Chengzheng Sun GROUP '03 Proceedings of the 2003 international ACM SIGGROUP conference on Supporting group work,2003 frames are not supported Generalizing operational transformation to the standard general markup language Aguido Horatio Davis , Chengzheng Sun , Junwei Lu CSCW '02 Proceedings of the 2002 ACM conference on Computer supported cooperative work,2002 frames are not supported Flexible notification for collaborative systems Haifeng Shen , Chengzheng Sun CSCW '02 Proceedings of the 2002 ACM conference on Computer supported cooperative work,2002 frames are not supported Undoing any operation in collaborative graphics editing systems David Chen , Chengzheng Sun GROUP '01 Proceedings of the 2001 International ACM SIGGROUP Conference on Supporting Group Work,2001 frames are not supported Undo any operation at any time in group editors Chengzheng Sun CSCW '00 Proceedings of the 2000 ACM conference on Computer supported cooperative work,2000 frames are not supported A distributed algorithm for graphic objects replication in real-time group editors David Chen , Chengzheng Sun GROUP '99 Proceedings of the international ACM SIGGROUP conference on Supporting group work,1999 frames are not supported Optimal locking integrated with operational transformation in distributed real-time group editors Chengzheng Sun , Rok Sosi PODC '99 Proceedings of the eighteenth annual ACM symposium on Principles of distributed computing,1999 frames are not supported Operational transformation in real-time group editors: issues, algorithms, and achievements Chengzheng Sun , Clarence Ellis CSCW '98 Proceedings of the 1998 ACM conference on Computer supported cooperative work,1998 frames are not supported A generic operation transformation scheme for consistency maintenance in real-time cooperative editing systems Chengzheng Sun , Yanchun Zhang , Xiahua Jia , Yun Yang GROUP '97 Proceedings of the international ACM SIGGROUP conference on Supporting group work: the integration challenge,1997 frames are not supported Other Interests Table Tennis Swimming Bushwalking Chinese Chess To the School's Home Page diff --git a/src/data/compiled_bios/4530.txt b/src/data/compiled_bios/4530.txt new file mode 100644 index 0000000000..b20e3ff758 --- /dev/null +++ b/src/data/compiled_bios/4530.txt @@ -0,0 +1 @@ +James A. Momoh (202) 806-5350 jmomoh@howard.edu Professor Ph.D. in Electrical Engineering, Howard University MA in Theology, Howard University MS in Systems Engineering, University of Pennsylvania MS in Electrical Engineering, Carnegie Mellon University BS in Electrical Engineering, Howard University Power system energy systems Smart grid Optimization Power communication Power system optimization Smart and micro grid Computational intelligence Dr. James Momoh is Professor and Director of the Center for Energy Systems and Control in the Department of Electrical Engineering and Computer Science at Howard Unievrsity. In 1987, Dr. Momoh received a National Science Foundation (NSF) Presidential Young Investigator Award. He was Program Director of the Power program in the Electrical and Communications Systems (ECS) Division at NSF from 2001-2004. Dr. Momoh is a Fellow of the Institute of Electronics and Electrical Engineering (IEEE) and a Distinguished Fellow of the Nigerian Society of Engineers (NSE). He was inducted as a Fellow Member of the Nigerian Academy of Engineering (NAE) in 2004. Dr. Momoh's current research activities for utility firms and government agencies span several areas in systems engineering, optimization and energy systems control of terrestrial, space and naval complex and dynamic networks. These include but are not limited to the development of multi-agent, intelligent optimization technologies; next-generation optimization for the design of future intelligent power grids; computational tools and algorithms for deregulated/restructured power economies; and advanced power management strategies for stressed power systems with uncertainty, dynamics and stochasticity of parameters. He has also led research and education outreach and collaborations in information technology, environment, energy and human capacity building to involve the United States and other countries worldwide. This has led to a number of international conferences, workshops and seminar series, and research and education in engineering programs that are sponsored by NSF, Howard University and several universities and public-private agencies. Presently, Dr. Momoh is developing interdisciplinary research and education programs in power, economics and environmental adaptive systems. The goal is to build cross-disciplinary partnerships among engineering, economics and other related disciplines that address socioeconomic issues, environmental issues, new teaching pedagogy and curricula to prepare the workforce of the future. Dr. Momoh's research and professional activities have led to over 225 technical papers in refereed journals, transactions, proceedings and also production of several textbooks in his areas of expertise. These papers are presented at conferences, workshops, seminars, tutorial sessions and several other IEEE events to benefit the wider community of engineers, students and policy makers. He has contributed to and is engaged in the development of specialized computational applications of classical optimization, intelligent systems and advanced optimization techniques for the new tools needed by terrestrial, naval and space power systems. In particular, he has been developing special topical contributions in the area of Dynamic Stochastic Optimal Power Flow (DSOPF) using Adaptive Dynamic Programming (ADP) methods. His activities also extend to the development of Multi-Agent Systems (MAS) for coordination and control of complex power systems. His work continues to impact the research and innovations needed in optimization for planning and operational security, efficiency, reliability and stability, and autonomous control of sustainable energy systems. AWARDS AND HONORS Life Fellow of the Institute of Electrical and Electronics Engineers, 2016 Fellow Nigeria Academy of Science, May 2013 Fellow, National Academy of Engineering, April 2006 Distinguished Fellow NSE for Being Nigerias showcase in World Power Engineering for his immense contributions to Electrical Engineering Education. 2003 IEEE Fellow, Citation: For Contribution to Power Engineering Education and Computational Methods in Power System Transmission and Distribution 1999 Fellow of Nigeria Society of Engineers (FNSE) 1994 Fellow Carnegie Africa in Diaspora 2014 Centennial Award for International Research linkages, College of Engineering Architecture and Computer Science, Howard University, 2012 Sloan Foundation Faculty Distinguished Award for Production of Minority PhD Degrees 2008 Outstanding Faculty Mentor Award, US DOE/National Renewable Energy Laboratory (NREL) Minority University Research Associates (MURA), Sustainable Energy from Solar Hydrogen NSF-IGERT combined program 2007, Outstanding Contribution to Africa and the African Diaspora, Howard University Faculty Senate, 2007 1st recipient Howard Annual Faculty Senate Award for Scholarship and Creativity, Howard University2005 National Science Foundation (NSF) Distinguished Service Award (2001 -2004) Dr. Joshua Hill Award for Excellence in the DOE-NREL HBCU-PV Research Associate Program 2003 NSF Agent of Change Award of Sustained Excellence and Leadership in Engineering Research and Education 2003 NSF National Engineering Week Award for Contribution to Engineering Research and Education 2002 Award of Excellence in Power Engineering Research and Education ICPSOP 1997, 2000, 2002 Outstanding Performance Award for Teaching from Howard University 2002 Excellence Award for For Sustained Leadership in Power Research and Education by the former National Electric Power Authority (NEPA), Nigeria 2002 Giants in Science QEM/MES Award, Citation: For Outstanding Contributions to the Field of Electrical Engineering and to Participation of Minorities in Mathematics, Science and Engineering1998 Research Excellence Award in development of power system computational tool for stability assessment and control, being used by Electric Power Research Institute (EPRI) for USA Member Utilities, was given by U.S. Senator (State of Oregon) 1989 ASEE Excellence Teaching Award (Awarded to top six best teachers in the USA) $5,000 cash award, 1988 National Science Foundation (NSF) US White House Presidential Young Investigator (PYI) Award, 1987 Recognized and awarded HU Presidential Merit Superior Performance Awards in 1996, 1997, 1998, 1999, 2000, and 2004 2006 IEEE Outstanding Technical Paper Award Challenges to Optimal Power Flow 1998 Summer DuPont, /ASEE Faculty Fellow at Massachusetts Institute of Technology (MIT) Award (for 10 weeks) on training in the area of Advance Artificial Intelligence Concept and Application. 1991 President Joyce Ladner of Howard University Award for is single leadership and magnanimous contributions towards Building Bridges on Power Systems in USA and Africa 1993 Honeywell Professor Academy 1994 Recipient of Best Teacher of the Year Awards 1994, 1985, 1986, and 1987. Listed in Whos Who Among American Students 1982-1983 Federal Government of Nigeria (FGN) Full Scholarship Fellowship (MS and PhD academic Awards 1976 1978 and 1981-1983, HU Trustee Merit Scholarship, 1972-1975 (i). Books and Book Chapters James A Momoh, Energy Processing and Smart Grid, John Wiley/ IEEE Publication press, March 2018. James A. Momoh, Smart Grid: Fundamentals of Design and Analysis, (John Wiley/ IEEE Publication press April 2012) [Translated to Chinese, 2017] James A Momoh and Lamine Mili, Operation and Control of Electrical Energy Processing Systems, IEEE Press Publication 2010. [Translated to Chinese, 2017] James A. Momoh, Adaptive Stochastic Optimization Techniques with Applications by James A. Momoh by CRC Press ISBN 9781439829783 2016 James A. Momoh, Smart Grid: Fundamentals of Design and Analysis, (John Wiley/ IEEE Publication press April 2012) James A Momoh and Lamine Mili, Economic Market Design and Planning for Electric Power Systems, IEEE Press Publication 2010. James A Momoh and Lamine Mili, Operation and Control of Electrical Energy Processing Systems, IEEE Press Publication 2010. James A. Momoh, Electric Power Systems Applications of Optimization, Taylor and Francis Group LLC, Florida Second Edition 2009 James A. Momoh, Electric Power Distribution, Automation, Protection, and Control, Taylor and Francis Group LLC, Florida, 2008. James A. Momoh, Joe H. Chow, and Felix F. Wu, "Applied Mathematics to Electric Power Systems, Marcel Dekker Inc., New York, 2004 James A. Momoh, Electric Power Systems Applications of Optimization, Marcel Dekker Inc., New York, First Edition 2001 James A. Momoh and M. E. El-Hawary, Electric Systems, Dynamics, and Stability withArtificial Intelligence Applications, Marcel Dekker Inc., New York, First Edition 2000 (ii). Technical Papers (from 2000) Journals James A, Momoh, S.Surrender Reddy, Minimum Emission Optimal Power Flow in Wind Thermal Power System using Opposition Based Bacterial Dynamics Algorithm, IEEE PES General meeting, Nov 2016. James A, Momoh, S.Surrender Reddy, Day-Ahead Thermal and Renewable Power Generation Scheduling Considering Uncertainty, - accepted for invlusion in a future issue of IET Generation, Transmission & Distribution. Accepted: 18th November 2016. James A, Momoh, S.Surrender Reddy, Congestion Management Using Optimal Transmission Switching, - accepted for invlusion in a future issue of IEEE Transactions on Power Systems. Accepted: 18th October 2016. James A, Momoh, A. O. Melodi, O. M. Adeyanju, Probabilistic Long Term Load Forecast for Nigerian Bulk Power Transmission System Expansion Planning, IEEE PES power Africa, Sep 2016. James A, Momoh, S.Surrender Reddy, Value of Hardware-In-Loop for Experimenting Micro Grid Performance System Studies, IEEE Power Africa, Sep 2016. James A, Momoh, S.Surrender Reddy, Minimum Emission Dispatch in an Integrated Thermal and Wind Energy Conservation Systems using Self Adaptive Differential Evolution, IEEE Power Africa, Sep 2016. James A.Momoh, S.Surrender Reddy, Feasibility of Stochastic Voltage/Var Optimization Considering Renewable Energy Resources for Smart Grid, International Journal of Emerging Electric Power Systems, Vol 17, Apr 2016. Y. Wei, C. Ji, F. Galvan, S. Couvillon, G. Orellana and J. Momoh, (2016) "Learning Geotemporal Nonstationary Failure and Recovery of Power Distribution," in IEEE Transactions on Neural Networks and Learning Systems. Feasibility of Stochastic Voltage/VAR Optimization Considering Renewable Energy Resources for Smart Grid - James A. Momoh, Fellow, IEEE, S. Surender Reddy, Student Member, IEEE, - accepted in the International Journal of Emerging Electric Power Systems (2016) Wei, Y., Ji, C.Y., Galvan, F., Couvillon, S., Orellana, G. and Momoh, J. Non-Stationary Random Process for Large-Scale Failure and Recovery of Power Distribution. Applied Mathematics, 7, 233-249, (2015) Realistic and Transparent Optimum Scheduling Strategy for Hybrid Power System - James A. Momoh, Fellow, IEEE, S. Surender Reddy, Student Member, and IEEE- accepted for inclusion in a future issue of IEEE transactions on smart grid (2015). Outreach Program in Electrical Engineering: Pre-College for Engineering Systems (PCES)- James A. Momoh, Fellow, IEEE Transactions on Power Systems, Vol. 29, No. 4, July 2014. Centralized and Distributed Generated Power Systems - A Comparison Approach, Prepared for the Project: The Future Grid to Enable Sustainable Energy System, James A. Momoh, Sakis Meliopoulos, and Robert Saint. 2012 Future Grid Initiative White Paper Power Systems Engineering Research Center Empowering Minds to Engineer, the Future Electric Energy Momoh, J.A., Optimizing Grid Connected Renewable Energy Resources with Variability, James A. Momoh and Keisha DArnaud published 2012 July IEEE PES pp 1-6. Momoh, J.A., Sustainability and Development of Renewable Energy Resources IEEE-PES 2012,July 2012, San Diego CA. Momoh, J.A., Precollege for engineering stem IEEE Transaction Inferring Cascading Network-Power Disruptions and Sustainability, Erjongmanee, S. Ji, Momoh, J., Neural Networks (IJCNN), 2011 International Joint Conference on, 2011, ISBN: 978-1-4244-9637-2, ISSN: 2161-4407. Momoh, J.A., P. Fanara, H. Kurban, l. Iwarere, Social Impact Based Contingency Screening and Ranking, International Journal of Critical Infrastructures (IJCI), Vol. 3, Nos 1/2, pp.124-141, 2007. Momoh, J.A., Zhu, J.Z., Boswell, G.D., and Hoffman, S., Power System Security Enhancement by OPF with Phase Shifter, in print, IEEE Power Engineering Society (PES) Transactions, 2001. Conferences and Proceedings Yin Yao, David Gao, James Momoh, Performance Optimization and Evaluation of V2G in Regulated and Deregulated Microgrid, 1st IEEE Conference on Energy Internet and Energy System Integration, Beijing, China 2017. Anup Shukla, James Momoh, Multi-Objective Security Constrained Unit Commitment Problem Using Normal Boundary Intersection Technique, IEEE NAPS, June 2017. Anup Shukla, James Momoh, Unit Commitment, Using Gravitational Search Algorithm with Holomorphic Embedded Approach, IEEE ISAP, June 2017. Tigist Mohammed, James Momoh, Anup Shukla, Single Area Load Frequency Control Using Fuzzy Tuned PI Controller, IEEE NAPS, June 2017. * James A.Momoh, F. Aeiad, W. Gao , Bad data detection for smart grid state estimation, North American Power Symposium (NAPS), Nov 2016. Jiang Li, James A. Momoh, S. Surender Reddy, Prony Analysis of Damping Characteristic for Micro- grid with Energy Storage System, North American Power Symposium (NAPS), 2014 James A. Momoh, S. Surender Reddy, Optimal Location of FACTS for ATC Enhancement, , IEEE PES General Meeting, 2014 James A. Momoh, S. Surender Reddy, Yesha Baxi, Stochastic Voltage/Var Control with Load Variation, IEEE PES General Meeting, 2014. Combined Economic and Emission Dispatch using Radial Basis Function - James A. Momoh, Fellow, IEEE, S. Surender Reddy, Student Member, IEEE 2014 IEEE PES General Meeting | Conference & Exposition Review of Optimization Techniques for Renewable Energy Resources- James A. Momoh, Fellow IEEE, S. Surender Reddy, Student Member, IEEE Published in: Power Electronics and Machines for Wind and Water Applications (PEMWA), 2014 IEEE Symposium Economic Dispatch using Improved Hopfield Neural Network, James A. Momoh, Fellow IEEE, S. Surender Reddy, Student Member, published in IEEE North American Power Symposium (NAPS), 2015 James A. Momoh, S. Surender Reddy, Minimum Emission Dispatch in an Integrated Thermal and Wind Energy Conservation System Using Self-adaptive Differential Evolution in IEEE Power Africa 2016 James A. Momoh, S. Surender Reddy, Value of Hardware-In-Loop for Experimenting Microgrid Performance System Studies in IEEE Power Africa 2016 James A. Momoh, and Keisha DArnaud, Modeling and Development of Probabilistic Power Flow with Renewable Energy Resources, ICPSOP, 2012. J.A. Momoh, A.O. Idubor, Protection Scheme and Reliability Assessment of ICC Box for FAA Approach Lighting System against Lighting Strikes, Aug.,2011. 43rd NAPS Conference, Boston. Page 1-7. J.A. Momoh, Y. Baxi, A.O. Idubor, Frame Work for Real Time Optimal Power Flow Using Real Time Measurement Tools and Techniques, Aug., 2011. 43rd NAPS Conference, Boston. Page 1-7 Momoh, J.A., Y. Amegadje, A. Chuku, Reconfiguration of Distribution Feeders for Voltage Deviation Minimization with Feasibility of ANN, ICPSOP 97 Conference, Abidjan, Cote DIvoire, January 1997, pp. 378-383. Momoh, J.A., Bofah, P., Chuku, A. and Berkeley, A., Dynamic Simulation of the Performance of a fast Transient Overvoltage Protection, 8th International Conference on Power System Operation and Planning (ICPSOP), pp 58-62, January 18-21, 2010. Momoh, J.A and Effiong, C., Renewable Resources Utility Grid Integration: Transmission Planning Framework, 8th International Conference on Power System Operation and Planning (ICPSOP), pp 58-62, January 102-106, 2010. Momoh, J., Zheng, W. and Berkeley, A., Interoperability for Smart Grid Development, 8th International Conference on Power System Operation and Planning (ICPSOP), pp 116-123, January 18-21, 2010. Momoh, J., DArnaud, K., and Chuku, A., Optimization of Renewable Energy Resources for Maximum Performance, 8th International Conference on Power System Operation and Planning (ICPSOP), pp 176-181, January 18-21, 2010. Momoh, J.A. DArnaud, K. Chuku, A. and Posey-Eddy, F., Performance Optimization of Power Supply Networks using Renewable Energy Resources, submitted to 41st North American Power Symposium (NAPS), Starkville, Mississippi, pp. 1-6, 2009. Momoh, J.A., Xi, Y. and Boswell, G.D., Voltage Stability Enhancement using Phasor Measurement Unit (PMU) Technology, 40th North American Power Symposium (NAPS),pp.1-6, Calgary, Canada, 2008. Momoh, J.A., Xi, Y. and Boswell, G.D., An Approach to Determine Distributed Generation (DG) Benefits in Power Networks, 40th North American Power Symposium (NAPS), Calgary, Canada, pp.1-7, 2008. Momoh, J.A., Wade, N., Chuku, A.U., and Baruwa, L.L., Approach Lighting System Lightning Mitigation and Individual Control Cabinet Protection, 39th North American Power Symposium (NAPS), New Mexico (NM), pp.69-75, Sep 30-Oct 2, 2007. Momoh, J.A. and Boswell, G.D., A Price-driven Mechanism to Arrest Voltage Deviations in Stressed Electric Power Networks, 39th North American Power Symposium (NAPS), New Mexico (NM), pp. 295-300, Sep 30-Oct 2, Oct 2007. Momoh, J.A., Computational Techniques for Reconfiguring Distribution Power Networks, 7th International Conference on Power System Operation and Planning (ICPSOP), pp. 63-71, Jan 22-25, 2007 Momoh, J.A. and Boswell, G.D., Improving Power Grid Efficiency using Distributed Generation, 7th International Conference on Power System Operation and Planning (ICPSOP), Vol. 1, pp. 11 - 17, Jan 22 - 25, 2007. Momoh, J.A., Mohanadhas, T.D., and Alfred, K.A., Multi-Agent for Arcing Control for a Navy Ship Power System, 7th International Conference on Power System Operation and Planning (ICPSOP), Vol. 1, pp. 97 - 101, Jan 22 - 25, 2007. Momoh, J.A., Wade, N., Chuku, A.U., and A.U. and Baruwa, L., Design of the Protection and Grounding of an Approach Lighting System (ALS), 7th International Conference on Power System Operation and Planning (ICPSOP), Vol. 1, pp. 150 - 154, Jan 22 - 25, 2007. Momoh, J.A., DArnaud, K., and Posey-Eddy, F., An Intelligent Power Management System for use on the Consumers side of the Grid, 7th International Conference on Power System Operation and Planning (ICPSOP), Vol. 1, pp. 83 - 86, Jan 22 - 25, 2007. Momoh, J.A., Framework for Voltage Stability Security using Phasor Measurement Unit (PMU), Presented at the University of Benin, Benin City, International Research and Education Engineering (IREE) Workshop, March 20-23, 2007. Momoh, J.A., Mohanadhas, T.D., and Alfred, K.A., A Rule-Based Approach for Navy Ship System Arc Fault Control, Proceedings of the IEEE Intelligent Systems Application to Power Systems (ISAP) Conference, Taipei, Taiwan, pp. 505 510, Nov 4-8, 2007. Momoh, J.A. and Boswell, G.D., Optimization Technique for Arc Fault Control on the Navy Integrated Power System (IPS), Proceedings of the IEEE Intelligent Systems Application to Power Systems (ISAP) Conference, Taiwan, Vol. 1, pp. 1-7, Nov 4-8, 2007. Momoh, J.A., Computational Techniques for Reconfiguring Distribution Power Networks, IEEE Power Systems Conference and Exposition, pp. 179 187, Oct. 29 2006-Nov. 1 2006. James A. Momoh, Garfield Boswell, Improving Power Grid Efficiency Using Distributed Generation, IEEE Power Systems Conference and Exposition, pp. 295 300, Oct. 2006. Momoh, J.A. and Ishola-Salawu, A.S., A New Arcing Fault Modeling and Detection Technique for Navy IPS Power System, IEEE PES General meeting Canada, pp.7, 18-22 June 2006. Momoh, J.A. and Ishola-Salawu, A.S., PV Modeling for Power Management Studies, DOE Solar Energy Technologies Program Review Meeting, Denver, Colorado. November 7 - 10, 2005. Momoh, J.A., Electric Power Networks Efficiency and Security (EPNES): An NSF/ONR Initiative, IEEE PES 2004 Summer General Meeting, Proceedings Momoh, J.A., G. Boswell, Value-Based Implementation of Distributed Generation in Optimal Power Flow, 37th Annual North American Power Symposium (NAPS), Ames, Iowa, pp.27-33, October 23-25, 2005. Momoh, J.A., Kedah, S.S. "Optimal Load Shedding Study of Space Station Power Systems using Genetic Algorithm", North American Power Symposium (NAPS), October 1999, pp. 188-194. James A. Momoh, Kali Xu, Evaluation of Renewable Energy Options for National Electricity Needs, 6th International Conference on Power Systems Operation and Planning (ICPSOP), Praia, Cape Verde, May 22-26, 2005. James A. Momoh, Ayodele S. Ishola-Salawu, Arcing Fault Modeling and Detection for Navy IPS Power System Using Backpropagation, 6th International Conference on Power Systems Operation and Planning (ICPSOP), Praia, Cape Verde, May 22-26, 2005. James A. Momoh, Julan Feng, A Multi-Agent-Based Approach For Navy Ship Power System Restoration, 6th International Conference on Power Systems Operation and Planning (ICPSOP), Praia, Cape Verde, May 22-26, 2005. James A. Momoh, Yi Zhang, Voltage Security Optimal Power Flow with Social and Technical Constraints, 6th International Conference on Power Systems Operation and Planning (ICPSOP), Praia, Cape Verde, May 22-26, 2005. James A. Momoh, Nigel Burgess, Location Marginal Pricing for Unit Commitment with Network Congestion, 6th International Conference on Power Systems Operation and Planning (ICPSOP), Praia, Cape Verde, May 22-26, 2005. James A. Momoh and Garfield Boswell, Distributional Generation Impact on Location Marginal Pricings of Transmission Networks, 6th International Conference on Power Systems Operation and Planning (ICPSOP), Praia, Cape Verde, May 22-26, 2005. Momoh, J.A. and Xu, K., Study of Harmonics of Two Main Inverter Topologies in Photovoltaic System by Using SIMULINK, 37th North American Power Symposium, Ames, Iowa, October 23 25, 2005 Momoh, J.A. and Xu, K., Evaluation of Renewable Energy Options for National Electricity Needs, 6th International Conference on Power Systems Operation and Planning (ICPSOP), Praia, Cape Verde, May 22-26, 2005. Momoh, J.A., Ayodele S. Ishola-Salawu, Arcing Fault Modeling and Detection for Navy IPS Power System Using Back propagation, 6th International Conference on Power Systems Operation and Planning (ICPSOP), Praia, Cape Verde, May 22-26, 2005. Momoh, J.A., Julan Feng, A Multi-Agent-Based Approach For Navy Ship Power System Restoration, 6th International Conference on Power Systems Operation and Planning (ICPSOP), Praia, Cape Verde, May 22-26, 2005. Momoh, J.A., Yi Zhang, Voltage Security Optimal Power Flow with Social and Technical Constraints, 6th International Conference on Power Systems Operation and Planning (ICPSOP), Praia, Cape Verde, May 22-26, 2005. Momoh, J.A., Nigel Burgess, Location Marginal Pricing for Unit Commitment with Network Congestion, 6th International Conference on Power Systems Operation and Planning (ICPSOP), Praia, Cape Verde, May 22-26, 2005. Momoh, J.A., and Boswell, G.D., Distributional Generation Impact on Location Marginal Pricings of Transmission Networks, 6th International Conference on Power Systems Operation and Planning (ICPSOP), Praia, Cape Verde, May 22-26, 2005. Momoh, J.A. and Robert A. Sowah, Comparison of Wavelet Neural Networks and Wavelet Pre-Processing and Neural Networks for Arcing Faults Detection and Location, 36th North American Power Symposium, August 9-10, 2004. Momoh, J.A., Kumar, D.M.V., Ayodele S. Ishola-Salawu, Robert A. Sowah, Robert Button Lab VIEW based Implementation of Remedial Action for DC Arcing Faults in a Spacecraft, Power Engineering Society General Meeting, IEEE, Vol. 2 (2004): 498-501. Momoh, J.A., US African Power Research and Education Activities: Challenges, Experiences and Opportunities, IEEE PES 2004 Summer General Meeting Proceedings, pp.1398-1400, Paper invited for Energy Development and Power Momoh, J.A., and Robert Button Design and Implementation of Remedial Control for DC Arcing Faults in a Spacecraft using Fast Fourier Transformation and Artificial Neural Network Power Engineering Society General Meeting, IEEE, Vol. 2 (2004): 788-793. Momoh, J.A. and Robert M. Button, Arcing Fault Detection and Location Using One- Stage Wavelet Neural Network, 36th North American Power Symposium, August 9-10, 2004. Momoh, J.A., Electric Power Networks Efficiency and Security (EPNES): An NSF/ONR Initiative, IEEE PES 2004 Summer General Meeting Proceedings, Paper invitedfor Power Engineering Education Committee Panel Session. Momoh, James A. and Robert A. Sowah, Comparison of Wavelet Neural Networks andWavelet Pre-Processing and Neural Networks for Arcing Faults Detection and Location,36th North American Power Symposium, August 9-10, 2004. Momoh, James A. and Robert M. Button, Arcing Fault Detection and Location UsingOne-Stage Wavelet Neural Network, 36th North American Power Symposium, August 9-10,pp.7, 2004. James A. Momoh and M. E. El-Hawary, Electric Systems, Dynamics, and Stability withArtificial Intelligence Applications, Marcel Dekker Inc., New York, First Edition 2000 diff --git a/src/data/compiled_bios/4531.txt b/src/data/compiled_bios/4531.txt new file mode 100644 index 0000000000..1ec4f7d876 --- /dev/null +++ b/src/data/compiled_bios/4531.txt @@ -0,0 +1 @@ +Danda B. Rawat L.K. Downing Room 2120B 202-806-2209 Danda.Rawat@howard.edu Associate Professor Ph.D., Old Dominion University, USA M.S., Tribhuvan University, Nepal B.S., Tribhuvan University, Nepal Honors/Awards/Recognitions: National Science Foundation CAREER Award US Air Force Visiting Faculty Research Program Award Fellow, Institution of Engineering and Technology (IET) Keynote Speaker at IEEE MobiSec 2018 Senior Member, ACM Senior Member, IEEE GSU CEIT Outstanding Research Faculty Award Best Paper Award, BWCCA'10 Outstanding PhD Researcher Award Cybersecurity Big Data Analytics and Machine Learning Wireless Networking and Virtualization Cyber-Physical Systems Security Internet of Things and Security Software-Defined Networks Smart Grid Security Cloud Computing Security Vehicular/wireless ad-hoc networks Cybersecurity Blockchain Technology Big Data Analytics and Machine Learning Wireless Networking and Security Cyber-Physical Systems Security Internet of Things and Security Cloud Computing Security Intelligent Transportation Systems Research Center/Lab/Publications: Research publications: Web page Research Center: Data Science and Cybersecurity Center (DSC2) CWiNs Research Lab: CWiNs Research Lab Scholar Profile: Google Scholar Profile Cybersecurity for Networked Systems, Cybersecurity I, Cybersecurity II, Wireless Communication Networks, Wireless Network Security, Advanced Network Security, Communication Systems, Computer Programming, Mobile App Development Dr. Danda B. Rawat is an Associate Professor in the Department of Electrical Engineering & Computer Science, Founding Director of the Data Science and Cybersecurity Center (DSC2), Director of Graduate Cybersecurity Certificate Program and Founding Director of Cyber-security and Wireless Networking Innovations (CWiNs) Research Lab at Howard University, Washington, DC, USA. Dr. Rawat's research focuses on cybersecurity, machine learning and wireless networking for emerging networked systems including cyber-physical systems (energy, transportation, water, UAV), Internet-of-Things, smart cities, software defined systems and vehicular networks. His professional career comprises more than 15 years in academia, government, and industry. He has secured over $3 million in research funding from US National Science Foundation, US Department of Homeland Security, and private Foundations. Dr. Rawat is the recipient of NSF Faculty Early Career Development (CAREER) Award in 2016, the US Air Force Research Laboratory (AFRL) Summer Faculty Visiting Fellowship in 2017, Outstanding Research Faculty Award (Award for Excellence in Scholarly Activity) at GSU in 2015, the Best Paper Award from BWCCA 2010 and Outstanding PhD Researcher in 2009.He has delivered over 10 Keynotes and invited speeches at international conferences and workshops. Dr. Rawat has published over 150 scientific/technical articles and 8 books. He has been serving as an Editor/Guest Editor for over 20 international journals. He has been in Organizing Committees for several IEEE flagship conferences such as IEEE INFOCOM 2015-2018, IEEE CNS 2017, IEEE CCNC 2016-2018, ICNC 2017/2018, IEEE AINA 2015/2016, and so on. He served as a technical program committee (TPC) member for several international conferences including IEEE INFOCOM, IEEE GLOBECOM, IEEE CCNC, IEEE GreenCom, IEEE AINA, IEEE ICC, IEEE WCNC and IEEE VTC conferences. He served as a Vice Chair of the Executive Committee of the IEEE Savannah Section from 2013 to 2017. He received the Ph.D. in Electrical and Computer Engineering (Wireless Networking and Security) from Old Dominion University, Norfolk, Virginia. Dr. Rawat is a Senior Member of IEEE and ACM, a member of ASEE. and a Fellow of the Institution of Engineering and Technology (IET). Research publications: Web page Scholar Profile: Google Scholar Profile Research Center: Data Science and Cybersecurity Center (DSC2) CWiNs Research Lab: CWiNs Research Lab diff --git a/src/data/compiled_bios/4532.txt b/src/data/compiled_bios/4532.txt new file mode 100644 index 0000000000..59eab295b4 --- /dev/null +++ b/src/data/compiled_bios/4532.txt @@ -0,0 +1 @@ +Hassan Salmani LK Downing Building Room 3028A 202-806-7684 hassan.salmani@howard.edu Assistant Professor Postdoc, University of Connecticut, 2011-2013 PhD, University of Connecticut, CT, 2008-2011 Master of Science, Sharif University of Technology, 2002-2004 Bachelor of Science, Iran University of Science and Technology, 1996-2001 Hardware security Digital circuit design Integrated circuit VLSI testing Integrated circuits counterfeit detection and prevention News Attending AFWERX Challenge, December 2018 Obtained certificate of outstanding contribution in reviewing from Elsevier's Integration, The VLSI Journal, September 2018 Attended Leadership in Embedded Security Workshop 2018, August 2018 Invited to be a program committee member for HOST 2019, July 2018 Invited to Leadership in Embedded Security Workshop 2018, June 2018 Presentation to DARPA Trusted Integrated Circuits - Hardware Trojans, June 2018 A new book on Hardware Trojans, "Trusted Digital Circuits - Hardware Trojan Vulnerabilities, Prevention and Detection," Springer, ISBN 978-3-319-79081-7, 2018 Invited to be a program committee member for ICCD 2018, May 2018 Invited to be a program committee member for iSES 2018, May 2018 Invited to be a program committee member for daforum 2018, March 2018 Invited to be serve on NSF Ad Hoc Panel, March 2018 Presentation to IBM Data Integrity Assurance in Wireless Sensor Networks, February 2018 Invited to be a program committee member for GLSVLSI 2018, November 2017 Presentation to Cisco Security in Hardware and Data, September 2017 Obtaining Blackboard Distance-learning Certificate, August 2017 Awarded Air Force Research Laboratorys Visiting Faculty Research Program (VFRP), April 2017 Presentation to Intel Hardware Security and Trust, April 2017 Presentation to Boeing Circuit Security Against Hardware Trojans - Circuit Security Metrics, April 2017 Presentation to Boeing Circuit Security Against Hardware Trojans - Hardware Trojan Detection: COTD, April 2017 Presentation at GOMACTech, COTD: Reference-free Hardware Trojan Detection in Gate-level Netlist, March 2017 Serve on TPC of DAC Ph.D. Forum 2017 A chapter book entitled "Digital Circuit Vulnerabilities to Hardware Trojans" for "Hardware IP Security and Trust," Published by Springer, ISBN 978-3-319-49024-3, January 2017 Master Student, Reza Shafiq, defended his master thesis, December 2016 Serve as PC member for GLSVLSI 2017, December 2016 NSF Panel Reviewer, September 2016 Presentation at Texas Instrument, Howard University, Hardware Security & Trust, June 2016 Presentation at Design Automation Conference (DAC), Hybrid STT-CMOS Designs for Reverse-engineering Prevention, June 2016 Editorial Board for Journal of Electrical Engineering, May 2016 A winner of Howard University's Proposal Incentive Program, May 2016 The winner of Howard University Summer Faculty Research Fellowship 2016, April 2016 The recipient of the most outstanding presentation in the area of physical sciences and engineering in the junior faculty/lecturer/instructor category for 2016 Howard University Research Symposium, April 2016 Vulnerability Analysis of a Circuit Layout to Hardware Trojan Insertion, Howard University Research Week, April 2016 Integrated Circuit Security and Trustworthiness, UMBC, March 2016 Invited to IEEE End-to-End Trust and Security for the Internet of Things, February 2016 Hardware Security and Trust for Taxes Instrument, November 2015 Hardware Security and Trust for Northrop Grumman, September 2015 DFHT (Design for hardware trust) for MentorGraphics, August 2015. Presentation at SAE, G19-A tamper subgroup, Layout-aware Approach for Improving Localized Switching to Detect Hardware Trojans in Integrated Circuits, July 2015 Presentation at Iranian American Academics and Professionals (IAAP), Is my computing device secure?, July 2015 Presentation at Symposium on Counterfeit Parts and Materials 2015, Logical Vanishability for Counterfeit Prevention Howard Research Week 2015, Trust Benchmarks and Design Vulnerability Analysis How Vulnerable is your Design to Hardware Trojan Insertion?, Virginia Tech University, Fall 2014 IP Trust and Vulnerability Analysis, CHASE, The University of Connecticut, Spring 2014 FPGA Security, Northrop Grumman, Fall 2013 Analyzing Circuit Vulnerability to Hardware Trojan Insertion at the Behavioral Level, DFT, 2013 Trust Benchmarks and Design Vulnerability Analysis, ICCD, 2013 A layout-aware approach for improving localized switching to detect hardware Trojans in integrated circuits, WIFS, 2011 Invited to Talk at VDAT 2014 Hardware Security, Northrop Grumman, Fall 2014 Selected Publication Ted Winograd, Gaurav Shenoy, Hassan Salmani, Hamid Mahmoodi, Setareh Rafatirad, and Houman Homayoun, Programmable Gates Using Hybrid CMOS-STT Design to Prevent IC Reverse Engineering, Accepted and to appear at ACM Transactions on Design Automation of Electronic Systems (TODAES), 2018 Hassan Salmani, "Trusted Digital Circuits - Hardware Trojan Vulnerabilities, Prevention and Detection," Springer, ISBN 978-3-319-79081-7, 2018 Bicky Shakya, Tony He, Hassan Salmani, Domenic Forte, Swarup Bhunia, Mark Tehranipoor, Benchmarking of Hardware Trojans and Maliciously Affected Circuits, Journal of Hardware and Systems Security, 1-18, April 2017 A chapter book entitled "Digital Circuit Vulnerabilities to Hardware Trojans" for "Hardware IP Security and Trust," Published by Springer, ISBN 978-3-319-49024-3, January 2017 Hassan Salmani, "COTD: Reference-free Hardware Trojan Detection in Gate-level Netlist", GOMACTech 2017, Hassan Salmani, "COTD: Reference-free Hardware Trojan Detection and Recovery based on Controllability and Observability in Gate-level Netlist", TIFS 2016 Darya Almasi, Houman Homayoun, Hassan Salmani, and Hamid Mahmoodi, "Comparative Analysis of Hybrid Magnetic Tunnel Junction and CMOS Logic Circuits," SOCC 2016, Aliyar Attaran, Hassan Salmani, Houman Homayoun and Hamid Mahmoodi,"Dynamic Single and Dual Rail Spin Transfer Torque Look Up Tables with Enhanced Robustness under CMOS and MTJ Process Variations," ICCD 2016 Darya Almasi, Houman Homayoun, Hassan Salmani, and Hamid Mahmoodi, "Comparative Analysis of Hybrid Magnetic Tunnel Junction and CMOS Logic Circuits," SOCC 2016 Aliyar Attaran, Hassan Salmani, Houman Homayoun and Hamid Mahmoodi, "Dynamic Single and Dual Rail Spin Transfer Torque Look Up Tables with Enhanced Robustness under CMOS and MTJ Process Variations," ICCD 2016 Ragh Kuttappa, Houman Homayoun, Hassan Salmani, and Hamid Mahmoodi , "Reliability Analysis of Spin Transfer Torque based Look up Tables under Process Variations and NBTI Aging Microelectronics Reliability," Elsevier Microelectronics 2016 Ted Winograd, Hassan Salmani, Hamid Mahmoodi, and Houman Homayoun, Kris Gaj, Preventing Design Reverse engineering with Reconfigurable Spin Transfer Torque Look Up Tables, DAC 2016 Hassan Salmani, Vulnerability Analysis of a Circuit Layout to Hardware Trojan Insertion, TIFS 2016 Ragh Kuttappa, Hamid Mahmoodi, Hassan Salmani, and Houman Homayoun, Reliability Analysis of Spin Transfer Torque based Look up Tables under Process Variations, ISCAS 2016 Ted Winograd, Hassan Salmani, Hamid Mahmoodi, and Houman Homayoun, "Preventing Design Reverse engineering with Reconfigurable Spin Transfer Torque LUT Gates," ISQED 2016 Ted Winograd, Hassan Salmani, Hamid Mahmoodi, and Houman Homayoun, "STT-CMOS Hybrid Designs for Reverse-engineering Prevention," GOMACTech 2015 Jonnetta Bratcher, Naja Green, Jonathan Lopera, Justin Powell, Candace Ross, and Hassan Salmani, Hardware Trojan Prevention for Protection of Medical Devices and Personal Health Records, Undergraduate student poster presentation, IEEE Sarnoff Symposium 2015. Hassan Salmani, Hamid Mahmoodi, and Houman Homayoun Logical Vanishability for Counterfeit Prevention, SMTA/CALCE Counterfeit Electronic Parts and Electronic Supply Chain Symposium, 2015. Mohammad Tehranipoor, Hassan Salmani, and Xuehui Zhang Integrated Circuit Authentication - Hardware Trojans and Counterfeit Detection, Springer ISBN 978-3-319-00816-5 Hassan Salmani, W. Zhao, M. Tehranipoor, S. Chakravarty, P. Girard, and X. Wen, Layout-Aware Pattern Evaluation and Analysis for Power-Safe Application of TDF Patterns, Journal of Low Power Electronics (JOLPE), vol. 8, pp. 248-258, 2012 Hassan Salmani and M. Tehranipoor, Layout-Aware Switching Activity Localization to Enhance Hardware Trojan Detection, IEEE Transactions on Information Forensics & Security, 2011. Hassan Salmani, M. Tehranipoor, and J. Plusquellic, "A Novel Technique for Improving Hardware Trojan Detection and Reducing Trojan Activation Time," Very Large Scale Integration (VLSI) Systems, IEEE Transactions on , vol. PP, no.99, Mohammad Tehranipoor, Hassan Salmani, Xuehui Zhang, Xiaoxiao Wang, Ramesh Karri, Jeyavijayan Rajendran, Kurt Rosenfeld, "Trustworthy Hardware: Trojan Detection and Design-for-Trust Challenges," Computer, vol. 44, no. 7, pp. 66-74 Hassan Salmani, Mohammad Tehranipoor, and Ramesh Karri, Trust Benchmarks and Design Vulnerability Analysis, IEEE International Conference on Computer Design (ICCD 2013) Hassan Salmani and Mohammad Tehranipoor, Analyzing Circuit Vulnerability to Hardware Trojan Insertion at the Behavioral Level, IEEE Symp. Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT 2013) Introduction to Computer Networking, Spring 2019 Introduction to VLSI Design, Fall 2018 Embedded Systems Design Lab, Spring 2018, 2019 Microcomputer Design, Fall 2014, 2017, 2018 Research in Undergraduate Exp, Spring 2017, 2018, 2019 Introduction to Engineering, Fall 2017, 2018 Fundamentals of Digital Systems Design, Spring 2014, 2015, 2016, 2017 Fundamentals of Digital Systems Design Lab, Spring 2014, 2015, 2016, 2017 Advanced Digital Systems Design, Fall 2013, 2014, 2015, 2016 Advanced Digital Systems Design Lab, Fall 2013, 2014, 2015, 2016 Operating System for Engineering, Spring 2015, 2016 Dr. Hassan Salmani is an Assistant Professor in the electrical and computer engineering department at Howard University, Washington DC. His main research projects are currently on hardware security and trust. Dr. Salmani has published two books entitled Trusted Digital Circuits: Hardware Trojan Vulnerabilities, Prevention and Detection and Integrated Circuit Authentication: Hardware Trojans and Counterfeit Detection and papers on design for hardware assurance. He has actively served the computer security society as a program committee member for conferences such as HOST, ICCD, iSES, GVLSI, a session chair at DAC and ICCD, and a reviewer for IEEE Transaction on Computers, IEEE Design and Test, IEEE Transactions on Information Forensics and Security (TIFS), Elsevier Computer and Electrical Engineering, and several others. Dr. Salmani is a member of the IEEE, ACM, and SAE G19A Tampered Subgroup. Please find more at http://www.design-for-dependability.org/ Hardware Trojan Detection and Prevention Counterfeit Chip Detection and Prevention Security of Implantable Medical Devices CAD Algorithm Development Trust Benchmark Development diff --git a/src/data/compiled_bios/4533.txt b/src/data/compiled_bios/4533.txt new file mode 100644 index 0000000000..e277a0d5d1 --- /dev/null +++ b/src/data/compiled_bios/4533.txt @@ -0,0 +1 @@ +Todd Shurn L.K. Downing Hall, Room 1110 202-806-4824 tshurn@howard.edu Associate Professor Ph.D. Southern Methodist University , 1994, Computer Science and Engineering M.S.E. University of Michigan, 1984, Industrial and Operations Engineering B.S.E. University of Michigan, 1983, Industrial and Operations Engineering Interactive Applications Multi-modal immersive technology Computational optimization Engineering & Computer Science entrepreneurship Robotics Education Games Service Oriented Computing Immersive Applications Linear Programming Game Engine Programming, Video Game Developement, Interactive multimedia Applications, Senior Design Project, Computer Science II, Discrete Structures diff --git a/src/data/compiled_bios/4534.txt b/src/data/compiled_bios/4534.txt new file mode 100644 index 0000000000..9d8b001d45 --- /dev/null +++ b/src/data/compiled_bios/4534.txt @@ -0,0 +1 @@ +Gloria Washington LKD Room 1110 202-806-7417 gloria.washington@howard.edu Assistant Professor Postdoc. Computer Science Clemson University, Clemson, SC 2013-2015 Ph.D. Computer Science George Washington University Washington, DC 2011 M.S. Computer Science George Washington University Washington, DC 2004 B.S. Computer Information Systems Lincoln University Jefferson City, MO 2000 Research interests include human-computer interaction, human-centered computing, affective computing, and biometrics. Modeling and Simulation, CS 2 Data Structures, Human-Computer Interaction, Affective Computing, Biometrics Dr. Gloria Washington is an Assistant Professor at Howard University in the Computer Science Department. At Howard, she runs the Affective Biometrics Lab and performs research with her students on affective computing and biometrics. Before coming to Howard University she was an Intelligence Community Postdoctoral Research Fellow in the Department of Computing Science at Clemson University. She performed research on identifying individuals based solely from pictures of their ears. Dr. Washington has more than fifteen years in Government service and has presented on her research throughout industry. Ms. Washington holds M.S. and Ph.D. in Computer Science from The George Washington University, and a B.S. in Computer Information Systems from Lincoln University of Missouri. My research interests are biometrics, affective computing, and human-centered computing. Washington-Gloria_resume.pdf 1. G. Washington, J. Ward, M. Kameka. SpareMe How: Towards an Empathetic Tool for Helping Adolescents & Teenagers Cope with Sickle Cell. IEEE Workshop on Smart and Connected Health. Oct. 23, 2015. 2. G. Washington and R. Vordebruegge. A Wide-Scale Comparative Study on Ear Feature Extraction Analysis. Journal on Intelligence Community Postdoctoral Researcher Projects, September 2015. 3. G. Washington. Quantifying Negative Affect: Usability Testing to Observe the Effect of Negative Emotions on User Productivity Through the Use of BioSignals and OCC Theory. ACM SIGCHI International Conference on Physiological Computing, Feb. 11-13, 2015. 4. G. Washington. Towards Understanding the Impact of Frustration on Performance. Conference on Human Factors Mentoring Workshop, Apr. 14, 2010. 5. G. Washington. Understanding the impact of user frustration intensities on task performance using a novel adaptation of the OCC theory of emotions. 2011, dissertation. 6. G. Washington. Leveraging Human-body based Measures to Assess Task Performance in HCIs. Department of Defense Human Factors Technical Advisory Group Meeting. October, 2011. 7. G. Washington. Does User Frustration Really Decrease Task Performance? Applied Human Factors Ergonomic Conference and 1st International Conference on Affective and Pleasurable Design. San Francisco, CA. July 21 25, 2012. 8. G. Washington. Understanding the impact of user frustration intensities for modeling and simulation. Modeling and Simulation World Conference - Human Track Proceedings, September, 2011. 9. G. Washington & R. Price Jones. The State of the Art of Detecting User Frustration Through Physiological Indicators of Frustration George Washington Technical Report. 2006. diff --git a/src/data/compiled_bios/4535.txt b/src/data/compiled_bios/4535.txt new file mode 100644 index 0000000000..730f279d98 --- /dev/null +++ b/src/data/compiled_bios/4535.txt @@ -0,0 +1 @@ +Su Yan Lewis K Downing Building, Suite 3030C (202) 806-2215 su.yan@howard.edu Assistant Professor Doctor of Philosophy, Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, August 2016 Doctor of Philosophy, Electromagnetics and Microwave Technology, University of Electronic Science and Technology of China, December 2011 Master of Science, Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, August 2012 Bachelor of Science, Electronic Information Engineering, University of Electronic Science and Technology of China, July 2005 Honors & Awards: Best Student Paper Award, The First Place Winner, ACES, Honolulu, HI, 2016 USNC/URSI Travel Fellowship Grant Award, The National Academies (NAS), 2015 P. D. Coleman Outstanding Research Award, Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, 2015 Yuen T. Lo Outstanding Research Award, Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, 2014 Outstanding Doctoral Dissertation, Sichuan Provincial Peoples Government, 2014 UIUC List of Teachers Ranked as Excellent by Their Students, Outstanding Rating (top 10%), University of Illinois at Urbana-Champaign, Fall 2012 Outstanding Graduate Student (Highest honor from the university, ten recipients annually), UESTC, 2011 CASC Scholarship, UESTC, 2011 Best Student Paper Award, The First Place Winner, ACES, Williamsburg, VA, 2011 Best Student Paper Award, IEEE Chengdu Section, 2010 Graduate Scholarship, UESTC, 2010, 2009, 2008, 2006 Distinguished Dissertation Award, UESTC, 2005 Peoples Scholarship, UESTC, 2002-2005 National Mathematical Modeling Competition, The 3rd Award, Sichuan, China, 2003 Mathematical Modeling Competition, The 3rd Award, UESTC, 2002 Research Opportunities: I am currently looking for highly self-motivated and enthusiastic students who are interested in pursuing Ph.D. degrees in the area of applied and computational electromagnetics. Students with a solid background in mathematics, physics, and computer science are encouraged to apply. If interested, please contact me at su.yan@howard.edu with your personal statement and CV. To officially apply, please follow the general guidelines by Howard University Graduate School and the specific requirements of the Electrical and Computer Engineering program. Electromagnetic Modeling & Simulation Methods Linear and nonlinear electromagnetic modeling and simulation; Forward and inverse problems; Frequency- and time-domain algorithms; Integral-equation- and partial-differential-equation-based methods; Fast algorithms and preconditioning techniques. Multiphysics & Multiscale Modeling & Simulation Methods Electromagneticthermal coupling and co-simulation methods; Electromagneticplasma coupling and co-simulation methods; Spatial and temporal multiscale problems and coupling schemes. Advanced Numerical Methods Towards Accuracy, Efficiency, & Stability Dynamically h-, p-, and hp-adaptive algorithms in time domain; Divergence-cleaning techniques for inhomogeneous materials; Domain decomposition methods and multi-solver schemes; Parallel computing techniques based on both CPU and GPU platforms. Engineering Applications Electromagnetic scattering and radiation: radar cross section (RCS) evaluation, antenna and array analysis; Microwave devices and circuits modeling: S-parameter evaluation, breakdown analysis in high-power microwave devices; Bio-electromagnetic problems: specific absorption rate (SAR) modeling and evaluation, electromagnetic compatibility (EMC) analysis and electromagneticthermal effects. EECE 305 Fundamentals of Electromagnetics EECE 306 Fundamentals of Electromagnetics Laboratory Dr. Su Yan received the B.S. degree in electromagnetics and microwave technology from the University of Electronic Science and Technology of China, Chengdu, China, in 2005, and the M.S. and Ph.D. degrees in electrical and computer engineering from the University of Illinois at UrbanaChampaign, Urbana, IL, USA, in 2012 and 2016, respectively. From August 2016 to July 2018, he was a Postdoctoral Research Associate and an Instructor with the Department of Electrical and Computer Engineering, University of Illinois at UrbanaChampaign. He joined the Department of Electrical Engineering and Computer Science, Howard University, Washington, DC, USA, in August 2018, and is currently an Assistant Professor. He has authored or coauthored over 90 papers in refereed journals and conferences. His current research interests include nonlinear electromagnetic and multiphysics problems, electromagnetic scattering and radiation, numerical methods in computational electromagnetics, especially continuous and discontinuous Galerkin finite element methods, integral equation based methods, fast algorithms, and preconditioning techniques. Dr. Yan is a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE), and a Member of the Applied Computational Electromagnetics Society (ACES). He was a recipient of the Best Student Paper Award by the IEEE Chengdu Section in 2010, the Best Student Paper Award (The First Place Winner) at the 27th International Review of Progress in ACES, Williamsburg, VA, USA, in 2011, the USNC/URSI Travel Fellowship Grant Award by the National Academies in 2015, and the Best Student Paper Award (The First Place Winner) at the IEEE ICWITS/ACES 2016 Conference, Honolulu, HI, USA, in 2016. He was also a recipient of the Yuen T. Lo Outstanding Research Award and the P. D. Coleman Outstanding Research Award by the Department of Electrical and Computer Engineering, University of Illinois at UrbanaChampaign, in 2014 and 2015, respectively. His name appeared in the University of Illinois at UrbanaChampaign's List of Teachers Ranked as Excellent by Their Students in 2012 with an outstanding rating (top 10%). He serves as a Reviewer for multiple journals and conferences including Proceedings of the IEEE, IEEE Antennas and Propagation Magazine, IEEE Transactions on Antennas and Propagation, IEEE Transactions on Microwave Theory and Techniques, and IEEE Transactions on Magnetics. He is also an Editorial Board Member for the Advances in Mathematical Physics and serves as a Lead Guest Editor for the International Journal of Antennas and Propagation. My current research interests include nonlinear electromagnetic and multiphysics problems, electromagnetic scattering and radiation, numerical methods in computational electromagnetics, especially continuous and discontinuous Galerkin finite element methods, integral equation based methods, fast algorithms, and preconditioning techniques. suyan_cv.pdf Personal Website: Dr. Su Yan's Google Site Google Scholar Profile: Google Scholar Profile diff --git a/src/data/compiled_bios/4536.txt b/src/data/compiled_bios/4536.txt new file mode 100644 index 0000000000..148136995e --- /dev/null +++ b/src/data/compiled_bios/4536.txt @@ -0,0 +1 @@ +Noha Hazzazi noha.hazzazi@howard.edu Adjunct Assistant Professor Doctor of Philosophy (PhD), Information Technology GEORGE MASON UNIVERSITY, Fairfax, VA, May 2017 Research: Formally modeling processes and automating the verification of process safety. Developed fully automated system for verifying compliance with safety and regulatory standards in blood banks (in collaboration with MD specialist) Master of Science (MS), Telecommunications GEORGE MASON UNIVERSITY, Fairfax, VA, May 2010 Managed a TV program distribution project, applying satellite system requirements for ground and space segment. Created and executed marketing solutions to cover the European Market. Bachelor of Commerce (Bcomm), Information Technology Management RYERSON UNIVERSITY, Toronto, ON, 2008 Noha Hazzazi, Duminda Wijesekera, Salwa Hindawi, Formalizing and Verifying Workflows Used in Blood Banks, Procedia technology, Procedia Technology, Conference, 2014. Noha Hazzazi, Bo Yu, Duminda Wijesekera, Paulo Costa Using Temporal Logic to Verify Blood Supply Chain Safety", In Health Informatics and Medical Systems: Proc of The 2015 International Conference On Health Informatics and Medical Systems, HIMS2015, Las Vegas, , NV, USA, July 27-30, 2015, H. R. Arabnia, L. Deligiannidis, Eds. USA: WorldComp15. pp 125-131. Noha Hazzazi, Bo Yu, Duminda Wijesekera, Paulo Costa, Using Temporal Logic to Verify Blood Supply Chain Safety, Tran, and Hamid Arabnia. Emerging trends in applications and infrastructures for computational biology, bioinformatics, and systems biology : systems and applications(pp.267-292). Cambridge, MA: Morgan Kaufmann/Elsevier Ltd, 2016. Noha Hazzazi, Duminda Wijesekera, Jasem Albasri, Regulation-driven Verification of Vein-to-vein Blood Transfer Safety, In Health Informatics and Medical Systems: Proc of The 2016 International Conference On Health Informatics and Medical Systems, HIMS2016, Las Vegas, , NV, USA, July 27-30, 2016, H. R. Arabnia, L. Deligiannidis, Eds. USA: WorldComp16. pp 117-123. Noha Hazzazi, Rawhi Omar (2018), Integrating Automatic Monitoring of Accreditation Regulatory Compliance within Computerized Laboratory Information Systems, Current Tends in Biomedical Engineering and Biosciences, ISSN 2572-1151 diff --git a/src/data/compiled_bios/4537.txt b/src/data/compiled_bios/4537.txt new file mode 100644 index 0000000000..938fa81dda --- /dev/null +++ b/src/data/compiled_bios/4537.txt @@ -0,0 +1 @@ +Henry Ogworonjo LKD Building Room 3121A 202-806-6628 henry.c.ogworonjo@howard.edu Adjunct Assistant Professor Postdoctoral Fellow, Howard University, Washington D.C, 2015 2016 PhD, Howard University, Washington, D.C, 2015 M.Eng, Howard University, Washington, D.C, 2011 B.Sc, Obafemi Awolowo University, Nigeria, 2007 Artificial Intelligence Systems Optimization Power & Energy: Power System, Renewable Energy Motion Drives & Control: Intelligent Control, Fault Detection Signal Processing: Radar, Statistical & Financial Published H. Ogworonjo, J.M.M Anderson and L. Nguyen, An iterative Parameter-free MAP Algorithm with an Application to GPR Imaging, IEEE transactions, Geoscience and Remote Sensing, vol. 55, Issue 3, pp. 1573 - 1586, Mar. 2017 H. Ogworonjo, J.M.M Anderson and M. Wade, A L1-Regularized Least-Squares Deblurring Algorithm with an Application to GPR Imaging, IEEE UEMCON, 19th Oct. 21st Oct. 2017, New York City, NY H. Ogworonjo, J.M.M Anderson and M. Ndoye An L1- Regularized Least Squares Method for Step-Frequency GPR, IEEE Radar Conference (RadarCon), 2nd May- 6th May 2016, Philadelphia, PA H. Ogworonjo, J.M.M Anderson and L. Nguyen, A Parameter-free Image Reconstruction Algorithm for Impulse-Based UWB GPR, IEEE Global Conference on Signal and Information Processing (GlobalSIP), 14th Dec. 16th Dec. 2015, Orlando, Florida H. Ogworonjo and J. M. M Anderson, An MM-based Maximum a Posteriori Algorithm for GPR Image Reconstruction, 2014 IEEE Radar Conference (RadarCon), 19th May- 23rd May 2014, Cincinnati, Ohio M. Wade, H. Ogworonjo, M. Gul, M. Ndoye, M. Chouikha, W. Patterson, Red Green Blue Image Encryption Based on Paillier Cryptographic System, 19th International Conference on Network, Communication and Computing (ICNCC), San Diego, USA, Dec.18-19, 2017 Submitted H. Ogworonjo, M. Ndoye, and J. M.M. Anderson, Bayesian Algorithms for Ground Penetrating Radar Image Reconstruction, International Journal of Antennas and Propagation Graduate: Optimization Theory, Fall 2017 Estimation and Filtering, Spring 2017 Undergraduate: Principles of Electronics, Spring 2017 Math II Lab, Spring 2018 Engineering Math, Spring 2018 diff --git a/src/data/compiled_bios/4538.txt b/src/data/compiled_bios/4538.txt new file mode 100644 index 0000000000..dc232f0010 --- /dev/null +++ b/src/data/compiled_bios/4538.txt @@ -0,0 +1 @@ +Mamadou Wade Room 3109 Downing Hall 202-806-9031 mamadou.wade@howard.edu Adjunct Assistant Professor Ph.D., Electrical Engineering, Howard University, Washington, DC MS, Electrical and Electronics Engineering, Tuskegee University, Tuskegee, Alabama BS, Electrical and Electronics Engineering, Mercer University, Macon, Georgia BS, Computer Science, Fort Valley State University, Fort Valley, Georgia (Need about 2 classes) Graduate Certification in Cybersecurity, Howard University, Washington, DC Publications: Mamadou Wade, Henry C. Ogworonjoy, Madiha Gul, Mandoye Ndoye, Mohamed Chouikha, and Wayne Patterson, Red Green Blue Image Encryption Based on Paillier Cryptographic System, World Academy of Science, Engineering and Technology (WASET), 19th International Conference on Network, Communication and Computing, Dec 2017 (ICNCC 2017) Henry C. Ogworonjo, John M. M. Anderson, and Mamadou Wade, An `l1-Regularized Least-Squares Deblurring Algorithm with an Application to GPR Imaging, IEEE UEMCON 2017 Madiha Gul, Mohamed Chouika, and Mamadou Wade, Crosstalk Aware and Burst Error Fault Tolerance Mechanism for Reliable Communication, IEEE 2017 International Conference on Computer Design (ICCD 2017) Subjects Taught at Howard University: EECE 306: Fundamentals of Electromagnetics EECE 306-Lab: Fundamentals of Electromagnetics laboratory Subjects Taught at Tuskegee University: EENG 0360: Microprocessors EENG 0460: Digital Systems Design (VHDL) EENG 0461: Embedded Systems Design EENG 0462: Windows Phone Applications Design EENG 0221: Linear Networks & Circuits EENG 0325: Microelectronics I EENG 0596: Software Systems Engineering Analysis and Design (Graduate Level) EENG 0525: Computer Network Analysis and Design (Graduate Level) EENG 0527: Internet/Network Security (Cryptography) (Graduate Level) Communication Systems Image and Signal Processing Machine Learning Cyber Security Software Engineering Software Applications Development Power Systems diff --git a/src/data/compiled_bios/4539.txt b/src/data/compiled_bios/4539.txt new file mode 100644 index 0000000000..5ad2c49e8c --- /dev/null +++ b/src/data/compiled_bios/4539.txt @@ -0,0 +1 @@ +Timothy Brown (202) 806-6592 tbrown@howard.edu Laboratory Technician diff --git a/src/data/compiled_bios/454.txt b/src/data/compiled_bios/454.txt new file mode 100644 index 0000000000..effe9bb878 --- /dev/null +++ b/src/data/compiled_bios/454.txt @@ -0,0 +1 @@ +This page uses frames, but your browser doesn't support them. diff --git a/src/data/compiled_bios/4540.txt b/src/data/compiled_bios/4540.txt new file mode 100644 index 0000000000..965a9edb9f --- /dev/null +++ b/src/data/compiled_bios/4540.txt @@ -0,0 +1 @@ +Guy Lingani gmlingani@howard.edu Head of Information Technology diff --git a/src/data/compiled_bios/4541.txt b/src/data/compiled_bios/4541.txt new file mode 100644 index 0000000000..b5f7b05804 --- /dev/null +++ b/src/data/compiled_bios/4541.txt @@ -0,0 +1 @@ +Alycia Onowho Mackey Blg. Room 130 alycia.onowho@howard.edu Howard West Program Manager diff --git a/src/data/compiled_bios/4542.txt b/src/data/compiled_bios/4542.txt new file mode 100644 index 0000000000..45c033c402 --- /dev/null +++ b/src/data/compiled_bios/4542.txt @@ -0,0 +1 @@ + Home Kathleen Fisher Professor Kathleen Fisher is Chair of the Computer Science Department at Tufts University. Previously, she was a program manager at DARPA where she started and managed the HACMS and PPAML programs, a Consulting Faculty Member in the Computer Science Department at Stanford University, and a Principal Member of the Technical Staff at AT&T Labs Research. She received her PhD in Computer Science from Stanford University. Kathleen is an ACM Fellow and a Hertz Foundation Fellow. Service to the community has been a hallmark of Kathleen's career. She has served as Chair of the ACM Special Interest Group in Programming Languages ( SIGPLAN ) and as Program Chair for three of SIGPLAN's marquee conferences: PLDI , OOPSLA , ICFP . She has also served as an Associate Editor for TOPLAS and as an Editor of the Journal of Functional Programming . Kathleen has long been a leader in the effort to increase diversity and inclusion in Computer Science: she was Co-Chair of the Computing Research Association's Committee on the Status of Women ( CRA-W ) for three years, and she co-founded SIGPLAN's Programming Language Mentoring Workshop ( PLMW ) Series. Kathleen is a recipient of the SIGPLAN Distinguished Service Award . She is Chair of DARPA's ISAT Study Group and a member of the Board of Trustees of Harvey Mudd College . Biography Research Email : Phone : Address : Contact Information kfisher@cs.tufts.edu +1 617 627 3831 Halligan Hall 161 College Ave Tufts University Medford, MA 02155 Other Information Kathleen's research focuses on advancing the theory and practice of programming languages. All of her work is collaborative and much is interdisciplinary. In one research thrust, she develops domain-specific languages to make it easier to solve problems in particular domains. Examples include Hancock for stream processing, PADS for data format manipulation, and Forest for filestore management. In a second thrust, she studies program synthesis, which uses search techniques to generate programs from high-level specifications. Examples include synthesizing high-performance data structure(s) and concurrency control strategies for a given program and workload , inferring data descriptions from example data , and synthesizing lenses for synchronizing data stored in different formats . In a third thrust, she applies formal methods and other programming language techniques to produce software that is provably functionally correct with the goal of making hacking much harder. Examples include the DARPA HACMS program that built verified software for vehicles that a world-class red-team failed to hack into and a formally verified parser generator that provably rejects all malformed inputs. A list of Kathleen's publications is available from the ACM DL. My cv is available online. I also have a department web page . I am not teaching this semester. I have previously taught Comp105 (Fall 2017), Comp105 (Fall 2016), Comp105 (Spring 2016), Comp105 (Spring 2015), and Comp150PLD (Fall 2014). Previously, I co-taught the graduate programming language course (cs242) at Stanford. Tufts University Programming Languages (TUPL) website . Cybersecurity at Tufts website . diff --git a/src/data/compiled_bios/4543.txt b/src/data/compiled_bios/4543.txt new file mode 100644 index 0000000000..69e2758b59 --- /dev/null +++ b/src/data/compiled_bios/4543.txt @@ -0,0 +1 @@ + Remco Chang Associate Professor Tufts University Computer Science Halligan Hall 221 161 College Avenue Medford, MA 02155 (Office) 617-627-3681 (Lab) 617-627-6514 remco_at_cs.tufts.edu vita publications students talks grants calendar Recent Professors Professor Battle! Congratulations to Leilani Battle (MIT, primary advisor: Mike Stonebraker) who is an assistant professor in the CS department at the University of Maryland starting in 2018! Professor Yuksel! Congratulations to Beste Yuksel (Tufts, primary advisor: Rob Jacob) who is an assistant professor in the CS department at the University of San Francisco starting in 2016! Professor Ottley! Congratulations to Alvitta Ottley , who is an assistant professor in the Computer Science department at Washington University in St. Louis starting in 2016! Professor Crouser! Congratulations to Jordan Crouser , who is an assistant professor in the Stats and Data Science department at Smith College in 2015! Professor Brown! Congratulations to Eli Brown , who is an assistant professor in the Computer Science department at DePaul University starting in 2016! Professor Harrison! Congratulations to Lane Harrison , who is an assistant professor in the Computer Science department at WPI starting in 2015! Professor Peck! Congratulations to Evan Peck (Tufts, primary advisor: Rob Jacob), who is an assistant professor in the CS department at Bucknell starting in 2014! Recent Publications Kyrix An optmized database + visualization system for web-based multi-canvas pan-zoom interfaces. CIDR 2019 (pdf) , (project) At a Glance Modeling the perceived complexity of time-series visualization using "pixel approximate entropy". InfoVis 2018 (pdf) RNNbow Visualizing of the learning rates (the relative gradient contributions) of a recurrent neural network. CGA 2018 (pdf) Weber's Law 2.0! Modeling of the perception of correlation in scatterplots. Follow up work to the Weber's law paper in 2014 . TVCG 2018 (pdf) Beagle Machine learning and classification of visualization types using SVG elements in HTML CHI 2018 (pdf) Medical Decision Making User study and visualization tool (PROACT) to help prostate cancer patients understand their personal health risk. InfoVis 2016 (pdf) Adaptive Prefeching Database system design that adaptively prefetches data to support interactive visual exploration and analysis SIGMOD 2016 (pdf) Recent Grants DARPA CHESS (2019-2023) CHECKMATE: Computer Human Enhanced Coordination for Knowledge, Management, Analysis, and Testing for Exploits Walmart Foundation (2018-2020) Behavioral Nudges DARPA D3M (2017-2021) User-Driven Model Steering and Curation via Inference from Interaction and Model-Space Sampling Navy (2017-2019) TACTIC-D: Techniques to Adjust Computational Trends Involving Changing Data NSF CAREER (2015-2020) Analyzing Interactions in Visual Analytics for User and Data Modeling Tufts (2016-2017) A Cohort to Capture Behavior Change and Personalized Dietary Patterns Recent Talks (10-01-2018) Dagstuhl (08-22-2018) Hong Kong Univ Science and Technology (05-31-2018) DoD Visualization Workshop (04-18-2018) University of Konstanz (01-24-2018) National Academies of Sciences (01-08-2018) Luxembourg Inst Science and Technology (12-20-2017) University of Ghent (09-13-2017) Tufts Friedman School of Nutrition (08-30-2017) University of Colorado Boulder (04-03-2017) Draper (02-15-2017) MIT CSAIL Graphics Seminar (12-08-2016) University of Arizona (12-06-2016) Arizona State (11-10-2016) Washington DC (03-09-2016) Bently University (02-29-2016) KAUST (01-12-2016) Middlesex University London (01-06-2016) University College London (UCL) (10-19-2015) UMass Amherst (10-16-2015) Baylor University (10-08-2015) Brown University (02-26-2015) Fields Institute (U Toronto) (01-20-2015) MIT SEAri Workshop diff --git a/src/data/compiled_bios/4544.txt b/src/data/compiled_bios/4544.txt new file mode 100644 index 0000000000..c6eb0cf583 --- /dev/null +++ b/src/data/compiled_bios/4544.txt @@ -0,0 +1 @@ + Ming Y. Chow About Courses @ Tufts CV Talks Posts Nov 10, 2018 Results of a Password Cracking Contest in My Security Class (Fall 2018) Sep 5, 2018 (Updated for 2018-2019) Finding Internships, Technical Interviews, Side Projects, Grad School Sep 4, 2018 Preparing For A Technical Interview Aug 28, 2018 Sobering Career Fair Advice From the Perspective of an Employer Apr 12, 2018 Why You Didn't Get The Job or Opportunity (For College Students) Apr 2, 2018 Results of a Password Cracking Contest in My Security Class (Spring 2018) Nov 4, 2017 Results of a Password Cracking Contest in My Security Class (Fall 2017) Aug 16, 2017 Students' Summer Internship Reports, In Their Own Words Aug 16, 2017 Hall of Shame Job Postings and Recruiting Aug 15, 2017 Results of a Password Cracking Contest in My Online Security Class (Summer 2017) Jun 21, 2017 The Best Thing To Do In Early Summer for Undergraduates: Prepare For Opportunities Next Summer Jun 8, 2017 Of Personal Note to Tufts Computer Science Students and Alumni Apr 16, 2017 The BSides Boston 2017 Breaking Into InfoSec Panel Questions Jan 16, 2017 Understanding Why Side Projects Are Looked At So Highly in Tech Nov 6, 2016 Results of a Password Cracking Contest in My Security Class (Fall 2016) Aug 12, 2016 My Experience Teaching an Online Course This Summer Jun 13, 2016 Collection of LinkedIn + Microsoft Jokes Sep 14, 2015 On Learning More About Information Security Jul 19, 2015 On Preparing For Black Hat / BSides LV / DEF CON in Las Vegas Jun 12, 2015 How often does a *Google* Android device phones home? Jun 12, 2015 What really happens when you open up ESPN app on your iPhone subscribe via RSS mchow01 0xmchow mchow01 diff --git a/src/data/compiled_bios/4545.txt b/src/data/compiled_bios/4545.txt new file mode 100644 index 0000000000..f69cd0e1a6 --- /dev/null +++ b/src/data/compiled_bios/4545.txt @@ -0,0 +1 @@ + Alva L. Couch ( couch@cs.tufts.edu ) Quick links: Contact Teaching Publications Research Software Personal Arts Archives Alva L. Couch This is the homepage of Professor Couch of the Computer Science Department at Tufts University . Contact Information Teaching Publications Software Ongoing Research Personal Information Photography Alva L. Couch ( couch@cs.tufts.edu ) Quick links: Contact Teaching Publications Research Software Personal Arts Archives diff --git a/src/data/compiled_bios/4546.txt b/src/data/compiled_bios/4546.txt new file mode 100644 index 0000000000..ad9c6169c4 --- /dev/null +++ b/src/data/compiled_bios/4546.txt @@ -0,0 +1 @@ + Lenore J. Cowen Brief Bio Contact Information Research Teaching Projects Selected Preprints Talks Full Curriculum Vitae Editorial and Service Students Professional Links/Useful Links/Fun Links Brief Bio Dr. Lenore J. Cowen is a Professor in the Computer Science Department at Tufts University She also has a courtesy appointment in the Tufts Mathematics Department. She received a BA in Mathematics from Yale and a Ph.D. in Mathematics from MIT. After finishing her Ph.D. in 1993, she was an NSF Postdoctoral Fellow and then joined the faculty of the Mathematical Sciences Department (now the Applied Mathematics and Statistics department) at Johns Hopkins University where she was promoted to the rank of Associate Professor in 2000. Lured by the Boston area, and the prospect of making an impact in a growing young department, she joined Tufts in September, 2001. Dr. Cowen has been named an ONR Young Investigator and a fellow of the Radcliffe Institute for Advanced Study. Her research interests span three areas: Discrete Mathematics (since high school), Algorithms (since 1991 in graduate school) and most recently Computational Molecular Biology, where she focuses on predicting protein function from structural and biological network information. She led a team that won the DREAM Disease Module Identification challenge in 2016. She is on the Editorial Board of the IEEE/ACM Transactions of Computational Biology and Bioinformatics (TCBB) and an Associate Editor of the journal Bioinformatics(from Oxford University press). On a more personal note, she notes that she is proudly married to a computer geek, but she is still trying to get used to the fact that she is now the mother of teenagers! Contact Information US Mail : Email : cowen at cs.tufts.edu OR firstname.lastname at tufts.edu OR firstname.lastname at gmail.com CS Department Tufts University Phone : +1-617-627-5134 161 College Avenue Medford, MA 02155 Fax : +1-617-627-2227 U.S.A. Research What I work on I am interested in graphs, networks and algorithms. Lately, I have been applying my expertise in these areas to Computational Molecular Biology: we live in a golden age of exponential growth in the amount of sequence, structure, expression, network, and other types of high-throughput data that is becoming available for the study of genes, proteins and human diseases. I am interested in designing better algorithms to make functional inferences integrated across these heterogeneous data sets. More specifically, I work on: 1) Computational Structural Biology , and Remote Sequence Homology: in this area, my research group is probably best known for its work on recognizing beta-structural motifs, and for the Matt multiple structure alignment program. We also provide the Mattbench benchmark of protein structural alignments as a service to the community for testing your favorite protein sequence aligner. 2) Biological Networks Here my training in graph theory and graph algorithms has led to new diffusion metrics for "detangling" PPI network hairballs , work on redundant pathways and dense bipartite structure, and also for methods to incorporate known pathways into random walk-based predictions of protein function. Together with my colleague Donna Slonim we jointly run the Tufts BCB group and welcome interested students to email one of us for an invitation to visit our weekly group meetings during the semester. New! My research in biological networks is now funded by NSF DMS-1812503. The co-PI is my colleague in the math dept, Xiaozhe Hu. My research in computational biology was funded by NIH grant 1R01GM080330-01A1 from 2008-2013. A long time ago, a grant from NSF (grant CCR0208629) funded work on approximate routing, and portions of my computational biology research were previously funded by an NSF Large ITR grant with me as the Tufts coPI and Simon Kasif of BU as the main PI. My Ph.D. advisor was Daniel J. Kleitman ; my graduated Ph.D. students to date are Christine Cheng (JHU/1999), 1/2 Christopher Wagner (JHU/1999), Adam Cannon (JHU/2000), Arthur Brady (Tufts/2008), Anoop Kumar (Tufts/2010) and Noah Daniels, (Tufts/2013), and Mengfei Cao (Tufts/2016) . Plus I co-advised Guangtao Ge's doctorate in 2009. (My Erdos number is 2 (but so is everyone else's)). Teaching Spring 2019, I am teaching Advanced Algorithms which I last taught in Spring 2018. Fall 2018, I taught Comp 167-- Computational Biology which I last taught in Fall 2011. Fall 2017 I taught Computation Theory Spring 2017 I taught Discrete Mathematics which I also taught in Fall 2008, Fall 2009, Spring 2010, Spring 2012, Fall 2012, Spring 2013, Spring 2016 and Fall 2016. Fall 2016 I also experimented with trying to teach an elective course which was an introduction to Computational Biology from the perspective of Big Data. In the past, I have also taught Protein Bioinformatics Topics (Fall 2010), , and one of my favorite classes to teach: Graph Theory (Fall 2007). Projects Complete list of software and web resources from my group is here Selected Preprints The following papers are available in postscript (.ps) or pdf format; If you would like a copy of one of the other papers on my publication list , please send email to cowen at cs.tufts.edu. Papers in Computational Biology Papers in Algorithms Papers in Graph Theory Papers on High-Dimesional Data Analysis COMPUTATIONAL BIOLOGY Update: we found a bug shortly after publishing: S. Hall-Swan, J. Crawford, R. Newman and L. Cowen, "Detangling PPI Networks to Uncover Functionally Meaningful Clusters," BMC Systems Biology, 12(Suppl 3) (2018): and have withdrawn the paper. Here is a link to our retraction note The journal is looking to publish a correction, and it's in progress, but here's a Preprint of our corrected manuscript New! L. Cowen, T. Ideker, B. Raphael and R. Sharan, Network propagation: a universal amplifier of genetic associations Nature Reviews Genetics, Vol 18 (2017), pages 551-562. M. Cao and L.J. Cowen When should we NOT transfer functional annotation between sequence paralogs? Proceedings of the Pacific Symposium on Biocomputing, 2017, pages 15-26. N. Daniels, A. Gallant, N. Ramsey and L.J. Cowen, MRFy: Remote homology detection for beta-structural proteins using Markov random fields and stochastic search IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol 12, no. 1 (2015) pp. 4-16. (Conference version won best student paper at ACM BCB 2013). M. Cao, C. M. Pietras, X. Feng, K.J. Doroschak, T. Schaffner, J. Park, H. Zhang, L. J. Cowen and B. Hescott, New directions for diffusion-based network prediction of protein function: incorporating pathways with confidence Bioinformatics, Volume 30, ISMB 2014 Proceedings, i219-i227, 2014. M. Cao, H. Zhang, J. Park, N. Daniels, M. E. Crovella, L. J. Cowen and B. Hescott, Going the Distance for Protein Function Prediction: A New Distance Metric for Protein Interaction Networks PLOS ONE, Volume 8, e76339, 2013. N. Daniels, A. Gallant, J. Peng, L.J. Cowen, M. Baym and B. Berger, Compressive genomics for protein databases Bioinformatics, Volume 29(13), 2013, i283-i290. A. Gallant, M.D. Leiserson, M. Kachalov, L. J. Cowen and B. J. Hescott Genecentric: a package to uncover graph-theoretic structure in high-throughput epistasis data. BMC bioinformatics, Volume 14(1), 2013, 23. N. Daniels, S. Nadimaplli and L. Cowen, Formatt: Correcting protein multiple structural alignments by incorporating sequence alignment, BMC Bioinformatics, Volume 13, 2012, 259. S. Su, C. Gramazio, D. Extrum-Fernandez, C. Crumm, L. Cowen, M. Menke and M. Strait, Molli: Interactive Visualization for Exploratory Protein Analysis, IEEE Computer Graphics and Applications, Volume 32, Number 5, 2012, 62-69. N. Daniels, R. Hosur, B. Berger and L. Cowen, SMURFLite: combining simplified Markov random fields with simulated evolution improves protein remote homology detection into the twilight zone Bioinformatics 28(9): 1216--1222, 2012. N. Daniels, A. Kumar, L. Cowen and M. Menke, Touring Protein Space with Matt IEEE/ACM Transactions on Computational Biology, Vol 9, Issue 1, January 2012. doi: 10.1109/TCBB.2011.70. A. W. Bryan Jr, C. W. O'Donnell, M. Menke, L. Cowen, S. Lindquist and B. Berger, STITCHER: Dynamic assembly of likely amyloid and prion beta-structures from secondary structure predicitons, Proteins: Structure, Function and Bioinformatics, Vol 80, Issue 2, February 2012, pp. 410420. A. Kumar and L. Cowen, Recognition of beta-structural motifs using hidden Markov models trained with simulated evolution Bioinformatics 2010 26: ISMB 2010: i287-i293; doi:10.1093/bioinformatics/btq199 M. Menke, B. Berger and L. Cowen, Markov random fields reveal an N-terminal double beta-propeller motif as part of a bacterial hybrid two-component sensor system, PNAS, March 2, 2010 107(9), 4069-4074. A. Kumar and L. Cowen, Augmented training of Hidden Markov Models to recognize remote homologs via simulated evolution Bioinformatics 25(13), 2009, pp. 1602--1608. B. Hescott, M. Leiserson, L. Cowen and D. Slonim, "Evaluating Between-Pathway Models with Expression Data", RECOMB 2009, ppp. 372-386, and Journal version in Journal of Computational Biology, 17(3), Match 2010: pp. 443-457. A. Brady, K. Maxwell, N. Daniels and L. Cowen, Fault Tolerance in Protein Interaction Networks: Stable Bipartite Subgraphs and Redundant Pathways PLoS One 4(4): e5364. doi:10.1371/journal.pone.0005364 2009. A. Bryan, M. Menke, L. Cowen, S. Lindquist, B. Berger, BETASCAN: Probable beta-amyloids identified by pairwise probabilities PLoS Computational Biology 5(3): e1000333. doi:10.1371/journal.pcbi.1000333 2009. G. Widmer, L. Cowen, G. Ge and X. Feng, "Protein coding gene nucleotide substitution pattern in the apicomplexan protozoa Cryptosporidium parvum and Cryptosporidium hominis" Comparative and Functional Genomics , 2008. X. Wei, L. Cowen, C. Brodley, A. Brady, D. Sculley, D. Slonim, "A Distance-Based Method for Detecting Horizontal Gene Transfer in Whole Genomes," Proceedings of the 4th International Symposium on Bioinformatics Research and Applications (ISBRA 2008) , Springer Lecture Notes in Computer Science, 23-37, 2008. M. Menke, B. Berger, and L. Cowen, "Matt: Local Flexibility Aids Protein Multiple Structure Alignment" PLoS Computational Biology, Volume 4, No. 1, 2008. A. McDonnell, M. Menke, N. Palmer, J. King, L. Cowen and B. Berger, "Fold Recognition and Accurate Alignment of Sequences Directing Beta Sheet Folding by Profile Wrapping" Proteins: Structure, Function and Bioinformatics , Volume 63, 976-985, 2006 M. Menke, J. King, B. Berger and L. Cowen, "Wrap-and-Pack: A New Paradigm for Beta Structural Motif Recognition with Application to Recognizing Beta Trefoils" Journal of Computational Biology , Volume 12, 6, 777-795, 2005 M. Menke, E. Scanlon, J. King, B. Berger and L. Cowen, "Wrap-and-Pack: A New Paradigm for Beta Structural Motif Recognition with Application to Recognizing Beta Trefoils" Proceedings of the Eighth International Conference on Computational Molecular Biology (RECOMB 2004) , L. Cowen, P. Bradley, M. Menke, J. King and B. Berger, "Predicting the Beta-Helix Fold from Protein Sequence Data," Journal of Computational Biology, Vol 9, No 2, 2002, pp. 261-276. PAPERS IN ALGORITHMS L. Cowen, Packet Routing in Networks, Encyclopedia of Algorithms Invited Article, 2008. M. Arias, L. Cowen and K. Laing, Compact Roundtrip Routing with Topology Independent Node Names, Journal Comput. Syst. Sci. 74(5): 775-795, 2008. A. Brady and L. Cowen, Exact Distance Labeling Yield Additive Stretch Compact Routing Schemes , DISC 2006. A. Brady and L. Cowen, Compact Routing on Power Law Graphs with Additive Stretch , 119-128, ALENEX 2006. M. Arias, L. Cowen, K. Laing, R. Rajaraman, and O. Taka, Compact Routing with Name Independence STo appear in SIAM Journal on Discrete Mathematics . Preliminary version in SPAA 2003. L. Cowen and C. Wagner, Compact Roundtrip Routing in Directed Networks, Journal of Algorithms, 50(1): 79-95, 2004. Preliminary version in PODC 2000. M. Arias, L. Cowen, K. Laing Compact Roundtrip Routing with Topology-Independent Node Names Names PODC 2003. L. Cowen, Compact Routing with Minimum Stretch SODA 99. Invited for special issue, Best Papers in SODA 99, Journal of Algorithms. B. Awerbuch, B. Berger, L. Cowen and D. Peleg, Near-Linear Cost Sequential and Distributed Constructions of Sparse Neighborhood Covers SIAM Journal of Computing. 28:1: 263-277, 1999. (preliminary version in FOCS). B. Awerbuch, B. Berger, L. Cowen and D. Peleg Fast Distributed Network Decompositions and Covers. Journal of Parallel and Distributed Computing, 39:2: 105-114. 1996. (Preliminary version in PODC). L. Cowen and R. Mathar The Offset Problem. Combinatorics, Probability and Compting 6: 159-164, 1997. B. Berger and L. Cowen, Scheduling with Concurrency-Based Constraints. Journal of Algorithms 18, 1995, 98-123. (preliminary version in SODA). B. Awerbuch, B. Berger, L. Cowen and D. Peleg, Low-Diameter Graph Decomposition is in NC . Random Structures and Algorithms , 5(3), 1994, 441-452. B. Awerbuch, L. Cowen and M. Smith Efficient Asynchronous Distributed Symmetry-Breaking STOC 1994. We never made a journal version of this paper, but the full proofs are in the final chapter of my PhD thesis. L. Cowen, A Linear Time Algorithm for Network Decomposition DIMACS TR-94-56. 1994. PAPERS IN GRAPH THEORY AND COMBINATORICS L. Cowen, R. Cowen and A. Steinberg, Totally Greedy Coinsets and Greedy Obstructions Electronic Journal of Combinatorics, Vol 15 (R90), 2008. A. Brady and L. Cowen, Exact Distance Labeling Yield Additive Stretch Compact Routing Schemes , DISC 2006. B. Bogstad and L. Cowen, "The Distinguishing Number of the Hypercube," Discrete Mathematics, Vol 283: 1-3, 39-35, 2004. C. Cheng and L. Cowen, On the Local Distinguishing Number of Cycles Discrete Mathematics, Vol 196: 1-3, 97-108, 1999. L. Cowen, W. Goddard and E. Jesurum, Coloring with Defect . SODA 1997. Journal version entitled "Defective Coloring Revisited" in Journal of Graph Theory 24:3: 205-219, 1997. L. Cowen, D. Kleitman, F. Lasaga and D. Sussman, Enumeration of Full Graphs: Onset of the Asymptotic Region . Studies in Applied Mathematics 36:339-350. 1996. D. Kleitman, F. Lasaga, and L. Cowen, Asymptotic Enumeration of Full Graphs . Journal of Graph Theory 20: 59-69, 1995. L. Cowen, R. Cowen, and D. Woodall, Defective Colorings of Graphs on Surfaces: Partitions into Subgraphs of Bounded Valency. Journal of Graph Theory 10: 187-195, 1986. HIGH DIMENSIONAL DATA A. Cannon and L. Cowen Approximation Algorithms for the Class Cover Problem Annals of Mathematics and Artificial Intelligence, 40(3-4), 2004: 215-224. (Special issue, best papers AMAI 2000). F. Crimins, R. Dimitri, T. Klein, N. Palmer and L. Cowen "Higher Dimensional Approach for Classification of Lung Cancer Microarray Data" Proceedings of the 2003 Critical Assesment of Microarray Data Analysis (CAMDA) conference. W. Zhou, W. Wu, N. Palmer, E. Mower, L. Cowen and A. Blumer Microarray Data Analysis of Survival Times of Patients with Lung Adenocarcinomas Using ADC and K-Medians Clustering, in Proceedings of the 2003 Critical Assesment of Microarray Data Analysis (CAMDA) conference. S. Stitzel, L. Cowen, K. Albert, and D. Walt, ``Array-to-Array Transfer of an Artificial Nose Classifier,'' Annalytical Chemistry 73(21), 2001: 5266--5271. L.J. Cowen and C.E. Priebe, Randomized non-linear projections uncover high-dimensional structure. Advances in Applied Math 19:319-331, 1997. A. Cannon, L. Cowen and C.E. Priebe, Approximate Distance Classification, Proceedings of the 1998 Symposium on the Interface between Computer Science and Statistics. C. E. Priebe and L.J. Cowen, Mine Detection Via Generalized Wilcoxon-Mann-Whitney Classification. Proceedings of the SPIE 3392: 906-917, 1998. STRUCTURES L. Cowen, J. Feigenbaum and S. Kannan, A Formal Framework for Evaluating Heuristic Programs Annals of Mathematics and Artificial Intelligence Vol 22, no. 3-4 (1998), pp. 193-206. (Preliminary version at ICALP 96) Talks New! Check out video of my invited talk at the Simons Institute on: Diffusion-Based Metrics for Biological Network Analysis Some older talk slides: Highlights talk from ISMB 2008 on Multiple Structure Alignment (Requires these two video files and video files to play the movie inside the talk.) Talk on Yeast BPMs from Combinatexas Talk on SMURF at 3DSIG (Requires these two video files and video files to play the movie inside the talk.) Genecentric talk Full Curriculum Vitae CV.pdf Editorial and Service I serve as an associate editor for the journal Bioinformatics published by Oxford University press. I serve on the editorial board of the IEEE/ACM Transaction on Computational Biology and Bioinformatics (TCBB) I was Vice-Chair of SIAM's SIAG on Discrete Mathematics from 2013-2015. Editorial Board member, SIAM Journal on Discrete Mathematics, 2003-2011 Editorial Board member, SIAM Review, 2008-2013 Conference co-chair, SIAM 2008 Annual Meeting, and in charge of the "Discrete Math" track at the SIAM 2009 Annual Meeting where we had a BANQUET FOR DANNY KLEITMAN'S 75th BIRTHDAY! I was Conference chair for the SIAM 2012 Discrete Mathematics conference. Most recently, I am on the organizing committee for the 2017 SIAM Annual Meeting. I am program chair for Recomb 2019 I am co-area chair for the Macromolecular Sequence, Structure and Function Track of ISMB/ECCB 2019 Past PC Committees: SODA 2008, , ICALP 2008 , RECOMB 2010 , WABI 2010 , RECOMB 2011 , WABI 2011 , SIAM DM 2012 (chair) , RECOMB 2012 , ISMB 2012 (area co-chair: protein structure and function) , WABI 2012, ACM-BCB 2012 (area co-chair: protein and RNA structure), ISMB/ECCB 2013 (area co-chair: protein structure and function), WABI 2013, ACM-BCB 2013 (area co-chair: protein and RNA structure). RECOMB 2014, ISMB 2014 (area co-chair: applied bioinformatics) ACM-BCB 2014 , WABI 2014 , ACM-BCB-2015, RECOMB 2015, ISMB/ECCB 2015 (late-breaking research track), APBC 2016, RECOMB 2016 , ISMB 2016 (area co-chair: protein structure and function), APBC 2017, Recomb 2017, ISMB/ECCB 2017, Recomb 2018, ISMB 2018, ACM-BCB 2018 (Highlights Co-Chair), APBC 2019. I was also co-conference chair of ACM-BCB 2017 which took place right here in the Boston area in August 2017! Students In 2017 I hosted summer DREU undergraduate student Indrani Ray. In 2013 I hosted summer DREU undergraduate student Katie Doroschak In 2010 I was the Freshman faculty advisor for the NSF funded Tufts CSEMS program. and hosted two CRA-W summer DREU undergraduate students (co-advising with Sara Su): Caitlin Crumm and Dani Extrum-Fernandez Current students at Tufts: Kapil Devkota Monsurat Olaosebikan Undergraduate Research Advisees, Past and Present include Sarah Hall-Swan, Maxim Kachalov, Max Leiserson , Dan Malmer, Kyle Maxwell, Emily Mower , Shilpa Nadimpalli , Nathan Palmer Patrick Schmid , Daniel Wolchonok. Recent Masters student: Jake Crawford For a list of past Masters students click here. Graduated Ph.D. students: Christine Cheng (JHU/1999) Christopher Wagner (JHU/1999) (co-advised with Mike Goodrich) Adam Cannon (JHU/2000). Arthur Brady (Tufts/2008) Anoop Kumar (Tufts/2010) Noah Daniels (Tufts/2013) Mengfei Cao (Tufts/2016) In addition, Guangtao Ge (Tufts/2009) got his Ph.D. in Bioinformatics through the Tufts Interdisciplinary Doctoral Program, co-supervised by Giovanni Widmer , Susan Ernst, and myself. I am the faculty advisor for the Tufts Student Chapter of ACM-W and for Tufts WiCS. Professional Links/Useful Links/Fun Links High School Math Camps The American Mathematics Society is now giving out grants to high school math camps!! They are currently raising endowment to support it, they are having real mathematicians judging the programs, they are charging 0 overhead to administer the program, and basically, I can't think of a better "bang" for your buck than supporting this, so check out their application process and give them money!! As part of their effort, they are also (orthogonal to this) providing a central website where you can read about all the math camps (whether they applied for an AMS grant or not) -- so if you know a bright high school student, point them at this Information about High School Math Camps Site (I myself an alum of the Hampshire College Summer Studies in Math program, and I recommend it very highly!!) Computational Biology Here's a Page I wrote about recommended places to pursue a graduate CS degree in Computational Biology (with suggested faculty advisors). Interesting and Fun Links Long Now Take Jim Propp's Self-Referential Aptitute Test! User Friendly Ladle Rat Rotten Hut templink for slides Important note! If I ever die or become permanently disabled or go anywhere where I can't take this content with me and put it up publically, it is a strong wish of mine that a static archive at the time of my death of everything web accessible under the ~cowen hierarchy be stored in a public archive at www.archive-it.org and an endowment be set up to pay the subscription fees. diff --git a/src/data/compiled_bios/4547.txt b/src/data/compiled_bios/4547.txt new file mode 100644 index 0000000000..27c537c0db --- /dev/null +++ b/src/data/compiled_bios/4547.txt @@ -0,0 +1 @@ + J.P. de Ruiter Professor Bridge Professor in Cognitive Sciences Professor, Psychology J.P. de Ruiter Professor Bridge Professor in Cognitive Sciences Professor, Psychology Phone 617-627-2531 Email jp.deruiter@tufts.edu Halligan Hall, Room 205 490 Boston Avenue, Medford, MA Google Scholar | Twitter Research: human communication, social robotics, gesture, turn-taking, ethnostatistics Biography: J.P. de Ruiter is a cognitive scientist and psycholinguist whose primary research focus is on the cognitive foundations of human communication. At Tufts, he is a bridge professor with joint appointments in the Departments of Computer Science and Psychology. Previously, he worked as a postdoctoral researcher at the Department of Social Psychology at the University of Cologne, and later as a senior researcher at the Max Planck Institute for Psycholinguistics in Nijmegen. From 2009 to 2016, de Ruiter was Chair of Psycholinguistics at Bielefeld University, Germany, where he founded the Natural Communication HD Lab. Education: Ph.D., Max Planck Institute for Psycholinguistics, 1998 Drs., Cognitive Science, Radboud University Nijmegen, 1992 Research Interests: J.P. de Ruiter aims to improve our understanding about how humans and artificial agents can use language, gesture, and other multimodal and nonverbal signals to effectively communicate with each other. His research focuses on the computational processes involved in conversational turn-taking, speech accompanying gesture, and intention recognition in communication. His research interests include philosophy of science, artificial intelligence, and ethnostatistics. De Ruiter has also initiated and/or been involved in several projects in social robotics, working on the encoding and decoding of social signals and communicative intentions in embodied artificial systems. diff --git a/src/data/compiled_bios/4548.txt b/src/data/compiled_bios/4548.txt new file mode 100644 index 0000000000..fbc628b7c5 --- /dev/null +++ b/src/data/compiled_bios/4548.txt @@ -0,0 +1 @@ + Fahad's Homepage Fahad Rafique Dogar Assistant Professor, Computer Science Dept. Senior Fellow for Civic Technology, Tisch College Tufts University Email: fahad@cs.tufts.edu I am an assistant professor in the computer science department at Tufts University. My research interests span networking and distributed systems. My current interests include cloud and mobile systems, wide area networking, and future Internet architectures. My students and I are part of the NAT (Networking At Tufts) group. Earlier, I completed my PhD from Carnegie Mellon University, a post-doc from Microsoft Research, UK, and undergrad from LUMS. I was also a visiting professor at LUMS in Fall 2011. Note for Tufts undergrads: If you are interested in doing research with me, please shoot me an email. I have ongoing projects in mobile computing, cloud and data center networking, and Internet architecture and protocols. Professional Service ACM CoNext 2018 (TPC) || SoCC 2018 (TPC) || ACM ICN 2018 (Travel Grant Co-Chair) || ACM Turing 50th Conference (Deputy Program Chair) || SIGCOMM Mentoring Co-Chair (2015, 2016, 2017) || SOCC 2017 || NENS (co-organizer) (2015, 2016) || SIGCOMM CCR Area Chair 2015-16 || PAM 2016 || ICNP 2015 || ANCS 2015 || ICNP 2014 Teaching Spring 2019 - COMP112: Networks (Earlier Offerings: Fall 2016, Fall 2015, Spring 2015, Spring 2018) Fall 2018 - COMP150: Computing for Developing Regions (Earlier Offerings: Spring 2017) Spring 2016 - COMP150: Rethinking the Internet Architecture Fall 2014 - COMP 150: Cloud Computing Selected Publications ( full list ) "Workload Adaptive Flow Scheduling" Abdullah Bin Faisal, Hafiz M Bashir, Ihsan A. Qazi, Zartash Uzmi, and Fahad R. Dogar ACM CoNEXT 2018 " Towards Slack-Aware Networking" Fahad R. Dogar ACM SIGCOMM CCR, April 2018 " Measuring and Improving the Reliability of Wide-Area Cloud Paths " Osama Haq, Mamoon Raja, and Fahad R. Dogar WWW 2017 " Load Balancing Over Symmetric Virtual Topologies" Syed M. Irteza, Hafiz Mohsin Bashir, Talal Anwar, Ihsan Ayyub Qazi, Fahad R. Dogar IEEE Infocom 2017 "Towards a Redundancy Aware Network Stack for Data Centers" Ali Musa Iftikhar, Fahad R. Dogar, and Ihsan Ayyub Qazi ACM HotNets 2016 "Leveraging the Power of Cloud for Reliable Wide Area Communication" Osama Haq and Fahad R. Dogar ACM HotNets 2015 " Friends, not Foes -- Synthesizing Existing Transport Strategies for Data Center Networks " Ali Munir, Ghufran Baig, Syed Irteza, Ihsan Qazi, Alex Liu, and Fahad R. Dogar ACM SIGCOMM 2014 " Decentralized Task-aware Scheduling for Data Center Networks " Fahad R Dogar, Thomas Karagiannis, Hitesh Ballani, and Ant Rowstron ACM SIGCOMM 2014. slides " Architecting for Edge Diversity: Supporting Rich Services Over an Unbundled Transport " Fahad R Dogar and Peter Steenkiste ACM CoNext 2012 " XIA: Efficient Support for Evolvable Internetworking " Dongsu Han, Ashok Anand, Fahad R. Dogar, Boyan Li, Hyoentaek Lim, Michel Machado, Arvind Mukundan, W. Wu, A. Akella, Dave Andersen, J Byers, Srini Seshan, and Peter Steenkiste Usenix NSDI 2012. " XIA: An Architecture for an Evolvable and Trustworthy Internet ", Dongsu Han, Ashok Anand, Fahad R. Dogar, Boyan Li, Hyoentaek Lim, Michel Machado, W. Wu, A. Akella, Dave Andersen, J Byers, Srini Seshan, and Peter Steenkiste ACM Hotnets 2011. " Catnap: Exploiting High Bandwidth Wireless Interfaces to Save Energy for Mobile Devices ", Fahad R. Dogar, Peter Steenkiste, and Dina Papagiannaki ACM MobiSys 2010 " Ditto: A System for Opportunistic Caching in Multi-Hop Wireless Mesh Networks" Fahad R. Dogar, Amar Phanishayee, Himabindu Pucha, Olatunji Ruwase, and David Andersen ACM MOBICOM 2008 Sign in | Recent Site Activity | Report Abuse | Print Page | Powered By Google Sites diff --git a/src/data/compiled_bios/4549.txt b/src/data/compiled_bios/4549.txt new file mode 100644 index 0000000000..3fc31844d2 --- /dev/null +++ b/src/data/compiled_bios/4549.txt @@ -0,0 +1 @@ + Karen Edwards Lecturer Karen Edwards Lecturer Phone 617-627-2225 Email karen.edwards@tufts.edu Halligan Hall, Room 004 161 College Avenue, Medford, MA Research: low-dimensional geometric topology Biography: Karen Edwards is a lecturer in the Department of Computer Science.She has 26 years of teaching experience with a wide variety of audiences, from community colleges to large state universities, as well as liberal arts colleges and K-12 professional development programs. She studied mathematics at Princeton and Berkeley, receiving her PhD from Berkeley in low-dimensional geometric topology. Education: Ph.D., Mathematics, University of California at Berkeley, 2001 B.A., University of California at Berkeley, 1992 Professional Experience: 2018-present: Lecturer, Department of Computer Science, Tufts University 2016-2018: Lecturer, Department of Mathematics, Harvard University 2016: Visiting Assistant Professor, Department of Mathematics, University of Connecticut 2015: Adjunct Professor, Brandeis University 2001-2014: Professor, Department of Mathematics, Diablo Valley College diff --git a/src/data/compiled_bios/455.txt b/src/data/compiled_bios/455.txt new file mode 100644 index 0000000000..965516b210 --- /dev/null +++ b/src/data/compiled_bios/455.txt @@ -0,0 +1 @@ +Rui Tan Assistant Professor School of Computer Science and Engineering Nanyang Technological University E-mail: tanrui@ntu.edu.sg Address: N4-02C-85, 50 Nanyang Ave, Singapore 639798 Phone: +65 6790 5491 [ Publication | Funding | Group | Awards | Teaching | Services ] News [02/2019] Two papers accepted to IoTDI and ICCPS of CPS-IoT Week 2019! [02/2019] Two papers on exploiting indoor powerline radiation presented at / accepted by MobiCom'18 and MobiCom'19 ! [09/2018] We use a smartphone to emit a 2 milliseconds inaudible chirp and record audio for just 0.1 seconds to recognize a room. The paper will be presented on Ubicomp'18. [11/2017] Our paper on using LoRaWAN to build control plane for multi-hop wireless networks is accepted to INFOCOM'18. [07/2017] Our paper on using skin electric potentials to synchronize the clocks of wearables is accepted to SenSys'17! [04/2017] Our IPSN'17 paper won the Best Paper Award ! In this research, we show that the electromagnetic radiation from powerlines contains time information with errors down to 50 milliseconds. Photo NTU/SCSE news Illinois news [04/2017] Our CPSR-SG'17 paper won the Best Paper Award ! NTU/SCSE news [01/2017] Awarded Distinguished TPC Member of INFOCOM'17. [08/2016] Our paper on secure clock synchronization is accepted to RTSS'16. Our system achieves 0.1ms sync error for two nodes 10km apart and is provably secure against the packet delay attack ! [05/2016] ADSC Communications about our PopSeCo project: ADSC research to enhance cybersecurity in energy systems. [01/2016] Our paper on attacks against power grid electricity generation control system is accepted to ICCPS'16. In this work, we really attacked a generator of a microgrid to deviate the 50Hz system frequency. [12/2015] Story about my research: ADSC's Cybersecurity Research Tackles Big Smart Grid Problems ( Illinois version ) Research Interests I am interested in understanding how the physical ambients affect the cyber systems (e.g., sensor networks, wearables, data centers, etc) and exploiting certain properties of the physical ambients to improve the performance and resilience of the cyber systems. My ongoing research topics include: Resilient CPS/IoT system functions (e.g., timing, synchronization, location, etc) Low-power wide area networks Thermal and energy control in data centers Deep learning for sensing Power grid control system security Publication Names underlined are students, research staff, visiting students/scholars who worked directly with me in my group for the publication. 2019 On Lightweight Privacy-Preserving Collaborative Learning for Internet-of-Things Objects. Linshan Jiang , Rui Tan, Xin Lou , Guosheng Lin. The 4th ACM/IEEE International Conference on Internet of Things Design and Implementation (IoTDI) , April 16-18, 2019, Montreal, Canada. CPS-IoT Week 2019. (Full paper acceptance ratio: 20/71=28%; one of 7 papers directly accepted without shepherding.) [ pdf ] Assessing and Mitigating Impact of Time Delay Attack: A Case Study for Power Grid Frequency Control. Xin Lou , Cuong Tran, Rui Tan, David Yau, Zbigniew Kalbarczyk. The 10th ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS) , April 16-18, 2019, Montreal, Canada. CPS-IoT Week 2019. [ pdf ] (Poster) SoftLoRa -- A LoRa-Based Platform for Accurate and Secure Timing. Chaojie Gu , Rui Tan, Jun Huang. IPSN , April 16-18, 2019, Montreal, Canada. CPS-IoT Week 2019. [ extended abstract ] Resilient Clock Synchronization using Power Grid Voltage. Dima Rabadi , Rui Tan, David Yau, Sreejaya Viswanathan , Hao Zheng, Peng Cheng. ACM Transactions on Cyber-Physical Systems (TCPS). In press. [ preprint ] 2018 Towards Touch-to-Access Device Authentication Using Induced Body Electric Potentials. Zhenyu Yan , Qun Song , Rui Tan, Yang Li , Adams Wai Kin Kong. The 25th Annual Internatinal Conference on Mobile Computing and Networking (MobiCom) , October 21-25, 2019, Los Cabos, Mexico. (Acceptance ratio for the summer deadline: 25/104=24%) [ pdf ] Wearables Clock Synchronization Using Skin Electric Potentials. Zhenyu Yan , Rui Tan, Yang Li , Jun Huang. IEEE Transactions on Mobile Computing (TMC). In press. [ preprint ] [ appendices ] Resilience Bounds of Sensing-Based Network Clock Synchronization. Rui Tan, Linshan Jiang , Arvind Easwaran, Jothi Prasanna Shanmuga Sundaram . The 24th IEEE International Conference on Parallel and Distributed Systems (ICPADS) , December 11-13, 2018, Sentosa, Singapore. [ pdf ] [ slides ] Simultaneous Localization and Mapping with Power Network Electromagnetic Field. Chris Xiaoxuan Lu, Yang Li , Peijun Zhao, Changhao Chen, Linhai Xie, Hongkai Wen, Rui Tan, Niki Trigoni. The 24th Annual International Conference on Mobile Computing and Networking (MobiCom) , October 29-November 2, 2018, New Delhi, India. (Acceptance ratio: 42/187=22.5%) [ pdf ] Deep Room Recognition Using Inaudible Echos. Qun Song , Chaojie Gu , Rui Tan. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT). The ACM International Joint Conference on Pervasive and Ubiquitous Computing (Ubicomp) , October 8-12, 2018, Singapore. [ pdf ] [ slides ] Streaming High-Definition Real-Time Video to Mobile Devices with Partially Reliable Transfer. Jiyan Wu , Rui Tan, Ming Wang. IEEE Transactions on Mobile Computing (TMC). In press. [ preprint ] Natural Timestamps in Powerline Electromagnetic Radiation. Yang Li , Rui Tan*, David Yau. ACM Transactions on Sensor Networks (TOSN). Vol. 14, No. 2, July 2018. * Corresponding author. [ preprint ] Exploiting Electrical Grid for Accurate and Secure Clock Synchronization. Sreejaya Viswanathan , Rui Tan*, David Yau. ACM Transactions on Sensor Networks (TOSN). Vol. 14, No. 2, July 2018. * Corresponding author. [ preprint ] Detecting Wireless Spy Cameras Via Stimulating and Probing. Tian Liu, Ziyu Liu, Jun Huang, Rui Tan, Zhen Tan. The 16th ACM International Conference on Mobile Systems, Applications, and Services (MobiSys) , June 10 - 15, 2018, Munich, Germany. (Acceptance ratio: 37/138=26.8%). [ pdf ] Differentially Private Collaborative Learning for the IoT Edge. Linshan Jiang , Xin Lou , Rui Tan, Jun Zhao. The 2nd International Workshop on Crowd Intelligence for Smart Cities: Technology and Applications (CICS) , co-located with EWSN'19, Feb 25, 2019, Beijing, China. [ pdf ] LoRa-Based Localization: Opportunities and Challenges. Chaojie Gu , Linshan Jiang , Rui Tan. The 1st Workshop on Low Power Wide Area Networks for Internet of Things (LPNET) , co-located with EWSN'19, Feb 25, 2019, Beijing, China. Invited paper. [ pdf ] A Testbed and Data Yields for Studying Data Center Energy Efficiency and Reliability. Duc Van Le , Yingbo Liu ; Rongrong Wang ; Rui Tan; Lek Heng Ngoh. The Data: Acquisition to Analysis Workshop with SenSys'18, November 4, 2018, Shenzhen, China. [ pdf ] Urban Electric Load Forecasting with Mobile Phone Location Data. Stefan Selvarajoo , Schlpfer Markus Stefan, Rui Tan. Asian Conference on Energy, Power and Transportation Electrification (ACEPT) , October 31 - November 1, 2018, Singapore. 2017 Enhanced Hidden Moving Target Defense in Smart Grids. Jue Tian , Rui Tan, Xiaohong Guan, Ting Liu. IEEE Transactions on Smart Grid (TSG). In press. [ preprint ] [ appendices ] One-Hop Out-of-Band Control Planes for Low-Power Multi-Hop Wireless Networks. Chaojie Gu , Rui Tan, Xin Lou , Dusit Niyato. The 37th Annual IEEE International Conference on Computer Communications (INFOCOM) , April 15 - 19, 2018, Honolulu, HI. (Acceptance ratio: 309/1606=19.2%). [ pdf ] [ slides ] Modeling and Detecting False Data Injection Attacks against Railway Traction Power Systems. Subhash Lakshminarayana , Teo Zhan Teng , Rui Tan, David Yau. ACM Transactions on Cyber-Physical Systems (TCPS). Vol. 2, No. 4, August 2018. [ preprint ] Application-Layer Clock Synchronization for Wearables Using Skin Electric Potentials Induced by Powerline Radiation. Zhenyu Yan , Yang Li , Rui Tan, Jun Huang. The 15th ACM Conference on Embedded Networked Sensor Systems (SenSys) , November 5-8, 2017, Delft, The Netherlands. (Acceptance ratio: 26/151=17%) [ pdf ] [ slides ] Unsupervised Residential Power Usage Monitoring using a Wireless Sensor Network. Rui Tan, Dennis E. Phillips; Mohammad-Mahdi Moazzami; Guoliang Xing; Jinzhu Chen. ACM Transactions on Sensor Networks (TOSN). Vol. 13, No. 3, September 2017. [ preprint ] [ video ] Optimal Attack against Cyber-Physical Control Systems with Reactive Attack Mitigation. Subhash Lakshminarayana, Zhan-Teng Teo, David Yau, Rui Tan. The 8th ACM International Conference on Future Energy Systems (e-Energy) , May 17-19, 2017. Hong Kong. (Acceptance ratio: 18/72=25%). [ pdf ] Modeling and Mitigating Impact of False Data Injection Attacks on Automatic Generation Control. Rui Tan, Hoang Hai Nguyen , Eddy. Y. S. Foo, David K. Y. Yau, Zbigniew Kalbarczyk, Ravishankar K. Iyer, Hoay Beng Gooi. IEEE Transactions on Information Forensics and Security (TIFS). Vol. 12, No. 7, pp. 1609-1624, July 2017. [ preprint ] Natural Timestamping Using Powerline Electromagnetic Radiation. Yang Li , Rui Tan*, David Yau. The 16th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) , April 18-21, 2017, Pittsburgh, PA, USA. (Acceptance ratio: 19/104=18%). CPS Week 2017. * Corresponding author. Best Paper Award [ pdf ] [ slides ] [provisional patent application filed] (Demo) Natural Timestamping Using Electrical Power Grid. Sreejaya Viswanathan , Yang Li , Rui Tan. IPSN 2017 [ extended abstract ] Hidden Moving Target Defense in Smart Grids. Jue Tian , Rui Tan, Xiaohong Guan, Ting Liu. The 2nd Workshop on Cyber-Physical Security and Resilience in Smart Grids (CPSR-SG) , April 21, 2017, Pittsburgh, PA, USA. CPS Week 2017. Best Paper Award [ pdf ] [ slides ] Taming Asymmetric Network Delays for Clock Synchronization using Power Grid Voltage. Dima Rabadi , Rui Tan, David Yau, Sreejaya Viswanathan . The 12th ACM Asia Conference on Computer and Communications Security (ASIACCS) , April 2-6, 2017, Abu Dhabi, UAE. (Acceptance ratio: 67/359=18.6%). [ pdf ] (Poster) Taming Asymmetric Delays for Network Time Protocol Using Electrical Grid Frequency. Dima Rabadi , Rui Tan, David Yau, Sreejaya Viswanathan . MobiSys , June 25-30, 2016, Singapore. [ extended abstract ] 2016 A Joint Data Compression and Encryption Approach for Wireless Energy Auditing Networks. Rui Tan, Sheng-Yuan Chiu , Hoang Hai Nguyen , David Yau, Deokwoo Jung. ACM Transactions on Sensor Networks (TOSN) . Vol. 13, No. 2, June 2017. [ preprint ] Collaborative Load Management with Safety Assurance in Smart Grids. Rui Tan, Hoang Hai Nguyen , David Yau. ACM Transactions on Cyber-Physical Systems (TCPS) . Vol. 1, No. 2, February 2017. [ preprint ] Cost of Differential Privacy in Demand Reporting for Smart Grid Economic Dispatch. Xin Lou , Rui Tan, David Yau, Peng Cheng. The 36th Annual IEEE International Conference on Computer Communications (INFOCOM) , May 1 - 4, 2017, Atlanta, GA. (Acceptance ratio: 292/1395=20.93%). [ pdf ] Exploiting Power Grid for Accurate and Secure Clock Synchronization in Industrial IoT. Sreejaya Viswanathan , Rui Tan*, David Yau. The 37th IEEE Real-Time Systems Symposium (RTSS) , November 29 - December 2, 2016, Porto Portugal. (Acceptance ratio: 32/137=23%). * Corresponding author. [ pdf ] [ slides ] [provisional patent application filed] On False Data Injection Attacks against Railway Traction Power Systems. Subhash Lakshminarayana , Zhan-Teng Teo , Rui Tan, David Yau, Pablo Arboleya. The 46th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN) , June 28 - July 1, 2016, Toulouse, France. (Acceptance ratio: 53/259=20.4%). [ pdf ] Energy-Efficient Aquatic Environment Monitoring using Smartphone-Based Robots. Yu Wang, Rui Tan, Guoliang Xing, Jianxun Wang, Xiaobo Tan, Xiaoming Liu. ACM Transactions on Sensor Networks (TOSN) . Vol. 12, No. 3, August 2016. [ preprint ] ORBIT: A Platform for Smartphone-Based Data-Intensive Sensing Applications. Mohammad-Mahdi Moazzami, Dennis E. Phillips, Rui Tan, Guoliang Xing. IEEE Transactions on Mobile Computing (TMC) . Vol. 16, No. 3, pp. 801-815, March 2017. [ preprint ] SecureRails: Towards an Open Simulation Platform for Analysing Cyber-Physical Attacks in Railways. Zhan-Teng Teo, Bao Anh Tran Nguyen, Subhash Lakshminarayana, William G. Temple, Binbin Chen, Rui Tan, David. K. Y. Yau. IEEE Region 10 Technical Conference (TENCON 2016) , November 22-25, 2016, Singapore. [ pdf ] A Simulation Study on Smart Grid Resilience under Software-Defined Networking Controller Failures. Uttam Ghosh, Xinshu Dong, Rui Tan, Zbigniew Kalbarczyk, David K. Y. Yau, Ravishankar K. Iyer. The 2nd Cyber-Physical System Security Workshop (CPSS 2016) , co-located with AsiaCSS'16, May 30 - June 3, 2016, Xi'an, China. (Acceptance ratio: 8/27=29%). [ pdf ] 2015 Optimal False Data Injection Attack against Automatic Generation Control in Power Grids. Rui Tan, Hoang Hai Nguyen , Eddy. Y. S. Foo, Xinshu Dong, David K. Y. Yau, Zbigniew Kalbarczyk, Ravishankar K. Iyer, Hoay Beng Gooi. The 7th ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS) , April 11-14, 2016, Vienna, Austria. CPS Week 2016. [ pdf ] [ slides ] On Applying Fault Detectors against False Data Injection Attacks in Cyber-Physical Control Systems. Quyen Dinh Vu , Rui Tan, David K. Y. Yau. The 35th Annual IEEE International Conference on Computer Communications (INFOCOM) , April 10-14, 2016, San Francisco, CA, USA. (Acceptance ratio: 300/1644=18%). [ pdf ] JICE: Joint Data Compression and Encryption for Wireless Energy Auditing Networks. Sheng-Yuan Chiu , Hoang Hai Nguyen , Rui Tan, David K. Y. Yau, Deokwoo Jung. The 12th IEEE International Conference on Sensing, Communication, and Networking (SECON) , June 22-25, 2015, Seattle, WA, USA. (Acceptance ratio: 55/194=28%). [ pdf ] [ slides ] ORBIT: A Smartphone-Based Platform for Data-Intensive Embedded Sensing Applications. Mohammad-Mahdi Moazzami, Dennis E. Phillips, Rui Tan, Guoliang Xing. The 14th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) , April 13-17, 2015, Seattle, WA, USA. (Acceptance ratio: 27/111=24%). CPS Week 2015. [ pdf ] (PhD forum abstract) DroidSense: A Toolkit for Smartphone-Based Data-Intensive Embedded Sensing Systems. Mohammad-Mahdi Moazzami, Rui Tan, Dennis E. Phillips, Guoliang Xing. The 12th ACM/IEEE Conference on Information Processing in Sensor Networks (IPSN), PhD Forum , April 8-11, 2013, Philadelphia, USA. [ extended abstract ] Samba: A Smartphone-Based Robot System for Energy-Efficient Aquatic Environment Monitoring. Yu Wang, Rui Tan, Guoliang Xing, Jianxun Wang, Xiaobo Tan, Xiaoming Liu. The 14th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) , April 13-17, 2015, Seattle, WA, USA. (Acceptance ratio: 27/111=24%). CPS Week 2015. [ pdf ] Integrity Attacks on Real-Time Pricing in Electric Power Grids. Rui Tan, Varun Badrinath Krishna , David K. Y. Yau, Zbigniew Kalbarczyk. ACM Transactions on Information and System Security (TISSEC) . Vol. 18, No. 2, December 2015. [ preprint ] [ appendices ] Monitoring Aquatic Debris using Smartphone-Based Robots. Yu Wang, Rui Tan, Guoliang Xing, Jianxun Wang, Xiaobo Tan, Xiaoming Liu, Xiangmao Chang. IEEE Transactions on Mobile Computing (TMC) . Vol. 15, No. 6, pp. 1412-1426, June 2016. [ preprint ] Impact of Signal Delay Attack on Voltage Control for Electrified Railways. Hoang Hai Nguyen , Rui Tan, David K. Y. Yau. IEEE Region 10 Technical Conference (TENCON 2015). [ pdf ] [ slides ] Software-Defined Networking for Smart Grid Resilience: Opportunities and Challenges. Xinshu Dong, Hui Lin, Rui Tan; Ravishankar K. Iyer; Zbigniew Kalbarczyk. The 1st Cyber-Physical System Security Workshop (CPSS 2015) , co-located with AsiaCCS. (Acceptance ratio: 9/26=35%). Coordinated Science Laboratory Technical Report, UILU-ENG-15-2203 , University of Illinois at Urbana-Champaign, Feb 2015. [ pdf ] 2014 PTEC: A System for Predictive Thermal and Energy Control in Data Centers. Jinzhu Chen, Rui Tan, Guoliang Xing, Xiaorui Wang. The 35th IEEE Real-Time Systems Symposium (RTSS) , December 2-5, 2014, Rome, Italy. (Cyber-physical systems track. Acceptance ratio: 33/154=21%) [ pdf ] [ slides ] Safety-Assured Collaborative Load Management in Smart Grids. Hoang Hai Nguyen , Rui Tan, David K. Y. Yau. The 5th ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS) , April 14-17, 2014, Berlin, Germany. (Acceptance ratio: 18/76=23.6%). CPS Week 2014 . [ pdf ] [ slides ] Aquatic Debris Monitoring Using Smartphone-Based Robotic Sensors. Yu Wang, Rui Tan, Guoliang Xing, Jianxun Wang, Xiaobo Tan, Xiaoming Liu, Xiangmao Chang. The 13th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) , April 15-17, 2014, Berlin, Germany. (Acceptance ratio: 23/111=20.7%). CPS Week 2014 . Best Paper Award Runner-up [ pdf ] A Sensor System for High-Fidelity Temperature Distribution Forecasting in Data Centers. Jinzhu Chen, Rui Tan, Yu Wang, Guoliang Xing, Xiaorui Wang, Xiaodong Wang, Bill Punch, Dirk Colbry. ACM Transactions on Sensor Networks (TOSN) . Vol. 11, No. 2, February 2015. [ pdf ] Battery Capacity Planning for Grid-Connected Solar Photovoltaic Systems. Binbin Chen, Kian Hoong Kwan, Rui Tan. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference , December, 2014. [ pdf ] 2013 Impact of Integrity Attacks on Real-Time Pricing in Smart Grids. Rui Tan, Varun Badrinath Krishna , David K. Y. Yau, Zbigniew Kalbarczyk. The 20th ACM Conference on Computer and Communications Security (CCS) , November 4-8, 2013, Berlin, Germany. (Acceptance ratio: 105/530=19.8%) [ pdf ] [ slides ] [ a web post ] [ erratum ] Volcanic Earthquake Timing using Wireless Sensor Networks. Guojin Liu, Rui Tan*; Ruogu Zhou; Guoliang Xing; Wen-Zhan Song; Jonathan M. Lees. The 12th ACM/IEEE Conference on Information Processing in Sensor Networks (IPSN) , April 8-11, 2013, Philadelphia, PA, USA. (Acceptance ratio: 24/115=21%). CPS Week 2013 . * The first two authors are listed in alphabetic order. [ pdf ] [ slides ] Supero: A Sensor System for Unsupervised Residential Power Usage Monitoring. Dennis E. Phillips, Rui Tan*; Mohammad-Mahdi Moazzami; Guoliang Xing; Jinzhu Chen; David K. Y. Yau. The 11th IEEE International Conference on Pervasive Computing and Communications (PerCom) , Mar 18-22, 2013, San Diego, CA, USA. (Acceptance ratio for full papers: 19/170=11%) Best Paper Award Runner-up * The first two authors are listed in alphabetic order. [ pdf ] [ slides ] [ video ] Supero: A Sensor System for Unsupervised Residential Power Usage Monitoring. Dennis E. Phillips, Rui Tan; Mohammad-Mahdi Moazzami; Guoliang Xing; Jinzhu Chen. The 1st International Workshop on Non-Intrusive Load Monitoring . ICES, CMU. May 7, 2012. [ extended abstract ] Spatiotemporal Aquatic Field Reconstruction using Cyber-Physical Robotic Sensor Systems. Yu Wang, Rui Tan, Guoliang Xing, Xiaobo Tan, Jianxun Wang, Ruogu Zhou. ACM Transactions on Sensor Networks (TOSN) . Vol. 10, No. 4, June 2014. [ pdf ] Profiling Aquatic Diffusion Process using Robotic Sensor Networks. Yu Wang, Rui Tan, Guoliang Xing, Jianxun Wang, Xiaobo Tan. IEEE Transactions on Mobile Computing (TMC) . Vol. 13, No. 4, pp. 880-893, April 2014. [ pdf ] Spatiotemporal Coverage in Fusion-based Sensor Networks. Rui Tan, Guoliang Xing. The Art of Wireless Sensor Networks , Vol. 2 (Advanced Topics and Applications). Springer. [ pdf ] Go with the Flow: Toward Workflow-Oriented Security Assessment. Binbin Chen, Zbigniew Kalbarczyk, David M. Nicol, William H. Sanders, Rui Tan, William G. Temple, Nils Ole Tippenhauer, An Hoa Vu, David K.Y. Yau. New Security Paradigms Workshop (NSPW) , September 9-12, 2013, Banff, AB, Canada. (Acceptance ratio: 11/32=34%) [ pdf ] 2012 Spatiotemporal Aquatic Field Reconstruction using Robotic Sensor Swarm. Yu Wang, Rui Tan, Guoliang Xing, Xiaobo Tan, Jianxun Wang, Ruogu Zhou. The 33rd IEEE Real-Time Systems Symposium (RTSS) , Dec 4-7, 2012, San Juan, Puerto Rico. (Cyber-physical systems track. Acceptance ratio: 35/157=22%) [ pdf ] A High-Fidelity Temperature Distribution Forecasting System for Data Centers. Jinzhu Chen, Rui Tan, Yu Wang, Guoliang Xing, Xiaorui Wang, Xiaodong Wang, Bill Punch, Dirk Colbry. The 33rd IEEE Real-Time Systems Symposium (RTSS) , Dec 4-7, 2012, San Juan, Puerto Rico. (Cyber-physical systems track. Acceptance ratio: 35/157=22%) [ pdf ] Accuracy-Aware Aquatic Diffusion Process Profiling using Robotic Sensor Networks. Yu Wang, Rui Tan, Guoliang Xing, Jianxun Wang, Xiaobo Tan. The 11th ACM/IEEE Conference on Information Processing in Sensor Networks (IPSN) , pp. 281-292, Apr 16-20, 2012, Beijing, China. (Acceptance ratio: 22/147=14.9%) CPS Week 2012. [ pdf ] System-level Calibration for Data Fusion in Wireless Sensor Networks. Rui Tan, Guoliang Xing, Zhaohui Yuan, Xue Liu, Jianguo Yao. ACM Transactions on Sensor Networks (TOSN) . Vol. 9, No. 3, May 2013. [ pdf ] 2011 Fidelity-Aware Utilization Control for Cyber-Physical Surveillance Systems. Jinzhu Chen, Rui Tan, Guoliang Xing, Xiaorui Wang, Xing Fu. IEEE Transactions on Parallel and Distributed Systems (TPDS) , Vol. 23, No. 9, pp. 1739-1751, September 2012. [ pdf ] Fusion-based Volcanic Earthquake Detection and Timing in Wireless Sensor Networks. Rui Tan, Guoliang Xing, Jinzhu Chen, Wen-Zhan Song, Renjie Huang. ACM Transactions on Sensor Networks (TOSN) . Vol. 9, No. 2, March 2013. [ pdf ] [ code ] Exploiting Data Fusion to Improve the Coverage of Wireless Sensor Networks. Rui Tan, Guoliang Xing, Benyuan Liu, Jianping Wang, Xiaohua Jia. IEEE/ACM Transactions on Networking (TON) , Vol. 20, No. 2, pp. 450-462, April 2012. [ pdf ] [ appendices ] Sensor Placement Algorithms for Fusion-based Surveillance Networks. Xiangmao Chang, Rui Tan, Guoliang Xing, Zhaohui Yuan, Chenyang Lu, Yixin Chen, Yixian Yang. IEEE Transactions on Parallel and Distributed Systems (TPDS) , Vol. 22, No. 8, pp. 1407-1414, August 2011. [ pdf ] [ appendices ] 2010 Quality-driven Volcanic Earthquake Detection using Wireless Sensor Networks. Rui Tan, Guoliang Xing, Jinzhu Chen, Wen-Zhan Song, Renjie Huang. The 31st IEEE Real-Time Systems Symposium (RTSS) , pp. 271-280, Nov 30 - Dec 3, 2010, San Diego, CA, USA. (Wireless sensor network track. Acceptance ratio: 36/142=25%) [ pdf ] [ slides ] [ code ] System-level Calibration for Fusion-based Wireless Sensor Networks. Rui Tan, Guoliang Xing, Zhaohui Yuan, Xue Liu, Jianguo Yao. The 31st IEEE Real-Time Systems Symposium (RTSS) , pp. 215-224, Nov 30 - Dec 3, 2010, San Diego, CA, USA. (Wireless sensor network track. Acceptance ratio: 36/142=25%) [ pdf ] Fidelity-aware Utilization Control for Cyber-Physical Surveillance Systems. Jinzhu Chen, Rui Tan, Guoliang Xing, Xiaorui Wang, Xing Fu. The 31st IEEE Real-Time Systems Symposium (RTSS) , pp. 117-126, Nov 30 - Dec 3, 2010, San Diego, CA, USA. (Cyber-physical systems track. Acceptance ratio: 36/142=25%) [ pdf ] Adaptive Calibration for Fusion-based Cyber-Physical Systems. Rui Tan, Guoliang Xing, Xue Liu, Jianguo Yao, Zhaohui Yuan. ACM Transactions in Embedded Computing Systems (TECS) . Vol. 11, No. 4, December 2012. [ pdf ] [ erratum ] Performance Analysis of Real-Time Detection in Fusion-based Sensor Networks. Rui Tan, Guoliang Xing, Jianping Wang, Benyuan Liu. IEEE Transactions on Parallel and Distributed Systems (TPDS) , Vol. 22, No. 9, pp. 1564-1577, September 2011. [ pdf ] [ appendices ] Analysis of Quality of Surveillance in Fusion-based Sensor Networks. Rui Tan, Guoliang Xing, Xunteng Xu, Jianping Wang. The 2nd International Workshop on Information Quality and Quality of Service for Pervasive Computing (IQ2S 2010) in conjunction with PerCom 2010 , pp. 37-42, Mar 29, Mannheim, Germany, invited paper. [ pdf ] [ slides ] 2009 and before Adaptive Calibration for Fusion-based Wireless Sensor Networks. Rui Tan, Guoliang Xing, Xue Liu, Jianguo Yao, Zhaohui Yuan. The 29th Annual IEEE International Conference on Computer Communications (INFOCOM) , pp. 1-9, Mar 15-19, 2010, San Diego, CA, USA. (Acceptance ratio: 276/1575=17.5%) [ pdf ] [ slides ] [ erratum ] (Poster) Exploiting Heterogeneity for Adaptive Calibration in Wireless Sensor Networks. Rui Tan, Guoliang Xing, Xue Liu, Jianguo Yao, Zhaohui Yuan. MobiCom 2009, poster session . [ extended abstract ] Impact of Data Fusion on Real-time Detection in Sensor Networks. Rui Tan, Guoliang Xing, Benyuan Liu, Jianping Wang. The 30th IEEE Real-Time Systems Symposium (RTSS) , pp. 323-332, Dec 1-4, 2009, Washington, D.C., USA. (Wireless sensor network track. Acceptance ratio for WSN track: 12%) [ pdf ] [ slides ] Data Fusion Improves the Coverage of Wireless Sensor Networks. Guoliang Xing, Rui Tan, Benyuan Liu, Jianping Wang, Xiaohua Jia, Chih-Wei Yi. The 15th Annual International Conference on Mobile Computing and Networking (MobiCom) , pp. 157-168, Sept 20-25, 2009, Beijing, China. (Acceptance ratio: 30/282=10.6%) [ pdf ] Fast Sensor Placement Algorithms for Fusion-based Target Detection. Zhaohui Yuan, Rui Tan, Guoliang Xing, Chenyang Lu, Yixin Chen, Jianping Wang. The 29th IEEE Real-Time Systems Symposium (RTSS) , pp. 103-112, Barcelona, Spain, Nov 30-Dec 3, 2008. (Wireless sensor network track. Acceptance ratio: 44/189=23%) [ pdf ] Collaborative Target Detection in Wireless Sensor Networks with Reactive Mobility. Rui Tan, Guoliang Xing, Jianping Wang, Hing Cheung So. 16th International Workshop on Quality of Service (IWQoS) , pp. 150-159, Enschede, The Netherlands, June 2-4, 2008. (Acceptance ratio: 26/73=35%) [ pdf ] [ slides ] Mobile Scheduling for Spatiotemporal Detection in Wireless Sensor Networks. Guoliang Xing; Jianping Wang; Zhaohui Yuan, Rui Tan; Limin Sun; Qingfeng Huang; Xiaohua Jia; Hing Cheung So. IEEE Transactions on Parallel and Distributed Systems (TPDS) , Vol. 21, No. 12, pp. 1851-1866, December 2010. [ pdf ] Exploiting Reactive Mobility for Collaborative Target Detection in Wireless Sensor Networks. Rui Tan, Guoliang Xing, Jianping Wang, Hing Cheung So. IEEE Transactions on Mobile Computing (TMC) , Vol. 9, No. 3, pp. 317-332, March 2010. [ pdf ] [ appendices ] Mobile Element Assisted Cooperative Localization for Wireless Sensor Networks with Obstacles. Hongyang Chen, Qingjiang Shi, Rui Tan, H. Vincent Poor, Kaoru Sezaki. IEEE Transactions on Wireless Communications (TWC) , Vol. 9, No. 3, pp. 956-963, March 2010. [ pdf ] Traffic Video Segmentation Using Adaptive-K Gaussian Mixture Model. R. Tan, H. Huo, J. Qian, T. Fang. The International Workshop on Intelligent Computing in Pattern Analysis/Synthesis 2006 (IWICPAS) , pp. 125-134, Xi'an, China, August 26-27, 2006. (Acceptance ratio: 51/264=19.3%) [ pdf ] Funding Tropical Data Centre Proof-of-Concept. Funded by Info-communications Media Development Authority (IMDA) of Singapore. NTU PI. Dec 2017 to Dec 2019. FogGrid: Transforming Microgrid Operations via Blockchain and Fog Computing in Singapore. Funded by Energy Market Authority (EMA) of Singapore. Co-PI. Apr 2018 to Apr 2021. Strategic Capability Building for IoT Research. NTU CoE seed grant. PI. September 2016 to August 2018. Resilient Cyber Infrastructure for Cyber-Physical Systems. Funded by Signapore National Research Foundation (NRF) as part of Delta corporate lab in NTU. Co-PI. July 2016 to June 2019. Resilient Cyber-Physical Systems by Advanced Sensing and Computing. NTU SUG. PI. Jan 2016 to Jan 2019. PopSeCo: Power Plant Security by Advanced Sensing and Computing. Funded by Energy Market Authority (EMA) of Singapore. Co-PI. Apr 2015 to Oct 2018. Cybersecurity Analysis and Experiments on a Micro-grid Testbed. Advanced Digital Sciences Center internal fund. Co-PI. Dec 2014 - Nov 2016. A Cyber-Physical Approach to Securing Urban Transportation Systems. Funded by Singapore NRF. Team member (proposed 1/6 of the research). Jan 2015 - Dec 2018. Group Current members: Zhenyu Yan (PhD student @ NTU, 2016-) Chaojie Gu (PhD student @ NTU, 2017-; Research Assistant, 2016) Linshan Jiang (PhD student @ NTU, 2017-) Qun Song (Visiting Student @ NTU, 2017-2018; PhD student @ NTU, 2018-) Dr. Van Duc Le (Research Fellow @ NTU, 2018-) Dr. Yingbo Liu (Research Fellow @ NTU, 2018-) Rongrong Wang (Research Associate @ NTU, 2018-) Ankita Samaddar (co-supervised PhD student @ NTU, 2017-) Dr. Rutvij H. Jhaveri (Research Fellow @ NTU, 2018-) Chongrong Fang (Visiting Student from ZJU, 2018/11-) Former members: Dr. Xin Lou (Postdoctoral Researcher @ ADSC, 2016-2018) Sreejaya Viswanathan (Senior Research Engineer @ ADSC, 2015-2018) Dima Dafer Rabadi (co-supervised PhD student @ ADSC) Dr. Yang Li (Postdoctoral Researcher @ ADSC, 2015-2018; joined the faculty of Shenzhen University) Jue Tian (Research Assistant/Visiting Student @ NTU, 2016/08-2017/08) Jothi Prasanna Shanmuga Sundaram (Research Assistant/Visiting Student @ NTU, 2017/02-2017/07) Dr. Subhash Lakshminarayana (Researcher @ ADSC, 2015-2017) Zhan Teng Teo (Research Engineer @ ADSC, 2015-2016) Hoang Hai Nguyen (Research Engineer @ ADSC, 2013-2015) Varun Badrinath Krishna (Research Engineer @ ADSC, 2013-2014) Sheng-Yuan Chiu (Research Engineer @ intern, 2013, 2014) Awards and honors Best Paper Award (2 out of 104 submissions), IPSN 2017 Best Paper Award , CPSR-SG 2017 Distinguished TPC Member , INFOCOM 2017 Best Paper Award Runner-Up (2 out of 111 submissions), IPSN 2014 Best Paper Award Runner-Up (3 out of 170 submissions), PerCom 2013 Outstanding Academic Performance Award , City University of Hong Kong, 2009 Research Tuition Scholarship , City University of Hong Kong, 2009 Rockwell Master Scholarship , Rockwell Automation, Inc., 2006 Excellent Bechelor Thesis , Shanghai Jiao Tong University, 2004 Teaching 2018 Fall: CE3006 Digital Communications, CE/CZ4023 Advanced Computer Networks, CZ1012 Engineering Math (Tutorial) 2018 Spring: CE3006 Digital Communications, CZ1012 Engineering Math (Tutorial) 2017 Fall: CE3006 Digital Communications 2017 Spring: CE3006 Digital Communications, CZ1012 Engineering Math (Tutorial), CE3002 Sensor-Interfacing-Control (Tutorial) 2016 Fall: CE3006 Digital Communications 2016 Spring: CZ1012 Engineering Math (Tutorial), CE3002 Sensor-Interfacing-Control (Tutorial) Education and experience 2016/01 - now: Assistant Professor, School of Computer Science and Engineering, Nanyang Technological University Adjunct Senior Research Scientist, Advanced Digital Sciences Center (Singapore), UIUC Senior Research Affiliate, Coordinated Science Laboratory, UIUC 2015/09 - 2015/12: Senior Research Scientist, Advanced Digital Sciences Center (Singapore), UIUC Senior Research Affiliate, Coordinated Science Laboratory, UIUC 2012/09 - 2015/09: Research Scientist, Advanced Digital Sciences Center (Singapore), UIUC Senior Research Affiliate, Coordinated Science Laboratory, University of Illinois at Urbana-Champaign (UIUC) 2010 - 2012: Postdoctoral Research Associate, Michigan State University 2007 - 2010: Ph.D. in Computer Science, City University of Hong Kong 2004 - 2007: M.S. in Pattern Recognition and Intelligent Systems, Shanghai Jiao Tong University 2000 - 2004: B.S. in Automation, Shanghai Jiao Tong University Professional services Council member Singapore's Tropical Data Centre Guidelines Working Group member, 2018-2019 Conference chair Joint Finance Chair of ACM SenSys and ACM BuildSys, 2019 Co-Chair, The 2nd Fog Computing+ Workshop: Trustworthy Fog , 2018 Poster Co-Chair, International Conference on Embedded Wireless Systems and Networks (EWSN), 2019 Publicity Co-Chair, The 1st IEEE International Conference on Industrial Internet (ICII), 2018 Publicity Co-Chair, The 3rd ACM/IEEE International Conference on Internet of Things Design and Implementation (IoTDI), 2018 Finance Chair, The 21st IEEE International Symposium on Real-Time Computing (ISORC), 2018 Session Chair, ICPADS 2018 Session Chair, SenSys 2017 TPC member ACM Conference on Embedded Networked Sensor Systems (SenSys), 2017, 2019 ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN), 2017, 2018, 2019 ACM/IEEE International Conference on Internet of Things Design and Implementation (IoTDI), 2017, 2018, 2019 IEEE Real-Time Systems Symposium (RTSS), 2013, 2014, 2015, 2016 IEEE International Conference on Computer Communications (INFOCOM), 2017, 2018, 2019 International Conference on Embedded Wireless Systems and Networks (EWSN), 2017, 2018 IEEE International Conference on Sensing, Communication and Networking (SECON), 2018 Annual International Conference on Distributed Computing in Sensor Systems (DCOSS), 2018 IEEE International Conference on Parallel and Distributed Systems (ICPADS), 2014, 2015, 2017, 2018 IEEE International Conference on Industrial Internet (ICII), 2018, 2019 ACM Cyber-Physical System Security Workshop (CPSS), 2015, 2016, 2017 ACM Workshop on Cyber-Physical Systems Security & Privacy (CPS-SPC), 2015, 2016 IPCCC'16, CPSNA'16, GLOBECOM'16, EUC'12&'13, CyberC'12, ICSPCC'13, WF-IoT'14, HP3C'14, NAS'17, HASE'17, ICCCN'19, RTCSA'17, ISORC'17 I also serve as the regular reviewers for international conferences and journals. 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Reviewer Conferences: IEEE International Conference on Computer Communications (INFOCOM) 2008 2009 2011 2012 2013 2014 2015 ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN) 2014 IEEE Real-Time Systems Symposium (WSN track) 2009 2010 2012 IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS) 2010 International Conference on Distributed Computing Systems (ICDCS) 2010 ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc) 2008 IEEE International Conference on Pervasive Computing and Communications (PerCom) 2012 International Conference on Mobile Systems, Applications and Services (MobiSys) 2012 2013 IEEE International Conference on Mobile Ad Hoc and Sensor Systems (MASS) 2010 2011 2013 IEEE International Conference on Sensing, Communication, and Networking (SECON) 2011 IEEE International Conference on Smart Grid Communications (SmartGridComm) 2013 IEEE Wireless Communications and Networking Conference (WCNC) 2009 2012 2013 ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWiM) 2008 2009 IEEE/IFIP International Conference on Embedded and Ubiquitous Computing (EUC) 2009 IEEE Global Communications Conference (GLOBECOM) 2008 ACM International Workshop on Integrated Heterogeneous Sensor Networks (HeterSenet) 2008 IEEE International Conference on Communication (ICC) 2009 International Conference on Computer Communications and Networks (ICCCN) 2010 International Wireless Communications and Mobile Computing Conference (IWCMC) 2010 Military Communications Conference (MILCOM) 2009 International Conference on Wireless Algorithms, Systems, and Applications (WASA) 2009 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC) 2011 Annual Conference on Communication Networks and Services Research (CNSR) 2009 Journals: ACM Transactions on Sensor Networks ACM/IEEE Transactions on Networking ACM Transactions on Cyber-Physical Systems ACM Transactions on Embedded Computing Systems IEEE Transactions on Communications IEEE Transactions on Computers IEEE Transactions on Parallel and Distributed Systems IEEE Transactions on Wireless Communications IEEE Transactions on Mobile Computing IEEE Transactions on Information Forensics and Security IEEE Transactions on Smart Grid IEEE Transactions on Industrial Informatics IEEE Transactions on Control of Network Systems IEEE Transactions on Vehicular Technology IEEE Transactions on Design Automation of Electronic Systems IEEE Journal on Emerging and Selected Topics in Circuits and Systems IEEE Sensors Journal Elsevier Computer Communications Elsevier Computer Networks Elsevier Ad Hoc Networks Springer Computing Springer Wireless Networks EURASIP Journal on Advances in Signal Processing Inderscience International Journal of Sensor Networks Inderscience International Journal of Ad Hoc and Ubiquitous Computing Taylor & Francis International Journal of Parallel Emergent and Distributed Systems Ad Hoc & Sensor Networks Seismological Research Letters Invited talks "Keynote: Cyber-Physical Approach to Resilient City-Scale IoT Systems", The DATA: Data Acquisition to Analysis Workshop , SenSys'18, SUSTech, Shenzhen, Nov, 2018. "Cyber-Physical Approach to Resilient City-Scale IoT Systems", International Workshop on Fog and Edge Computing for Smart Cities , The Chinese University of Hong Kong, November, 2018. "Deep Room Recognition Using Inaudible Echos", NTU-PKU Joint Workshop on IoT Meets AI, Nanyang Technological University, October, 2018. "Resilient Cyber-Physical Systems by Advanced Sensing and Computing", International Workshop on Next-Generation Cyber-Physical Systems , University of Virginia, September, 2018. "Resilient Cyber-Physical Systems by Advanced Sensing and Computing", School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, May, 2018. "Resilient Cyber-Physical Systems by Advanced Sensing and Computing", Department of Computer Science, City University of Hong Kong, June, 2017. "Wireless Sensor Networks for Volcano Monitoring", Earth Observatory of Singapore (EOS), Oct 18, 2016. "Worst-Cast Resilience Analysis Enabled by Smart Grid Modeling", lecture on Summer School of The French-Singaporean Network in Renewable Energy (CNERGIE), July, 2016, Porticcio, Corsica, France. "Cyber-Physical Approaches to Sustainable Power Grids", Shanghai Jiao Tong University, June, 2016 "Cyber-Physical Approaches to Sustainable Power Grids", Xi'an Jiao Tong University, May, 2016 "Data Integrity Attacks against Power Grid Control Systems", Energy Infrastructure Cyber Security Workshop , Singapore, May, 2016. "Cyber-Physical Approaches to Sustainable Power Grids", Department of Computer Science and Engineering, Michigan State University, March, 2014. "Cyber-Physical Approaches to Sustainable Power Grids", Department of Computer Science, University of Iowa, March, 2014. "Supero: A Sensor System for Unsupervised Residential Power Usage Monitoring", Department of Computer Science, City University of Hong Kong, March, 2013. "Collaborative Sensing in Cyber-Physical Systems", Coordinated Sciences Lab, University of Illinois at Urbana-Champaign, Jan 2012. diff --git a/src/data/compiled_bios/4550.txt b/src/data/compiled_bios/4550.txt new file mode 100644 index 0000000000..a17ea6ef87 --- /dev/null +++ b/src/data/compiled_bios/4550.txt @@ -0,0 +1 @@ + Jeff Foster Home Recent Papers Teaching Students Activities Software Papers Jeff Foster Professor Department of Computer Science Tufts University 211 Halligan Hall 161 College Ave Medford, MA 02155 jfoster@cs.tufts.edu Please email instead of calling I am a Professor in the Department of Computer Science at Tufts University . The goal of my research is to develop fundamental new ways to make it easier to build more reliable, secure software. I am interested in programming languages, software engineering, and security. Previously, I was a Professor in the Department of Computer Science and UMIACS at the University of Maryland, College Park , as well as a member of PLUM . Recent Papers User Comfort with Android Background Resource Accesses in Different Contexts - SOUPS 2018 Evaluating Design Tradeoffs in Numeric Static Analysis for Java - ESOP 2018 Evaluating Design Tradeoffs in Numeric Static Analysis for Java - arXiv:1802.08927, February 2018 Refinement Types for Ruby - VMCAI 2018 Refinement Types for Ruby - arXiv:1711.09281, November 2017 Technical Perspective: Shedding New Light on an Old Language Debate - CACM 2017 The Diverse Cohort Selection Problem: Multi-Armed Bandits with Varied Pulls - arXiv:1503.07792, September 2017 Learning a Classifier for False Positive Error Reports Emitted by Static Code Analysis Tools - MAPL 2017 User Interactions and Permission Use on Android - CHI 2017 An Empirical Study of Adaptive Concretization for Parallel Program Synthesis - FMSD 2017 more... All publications Teaching COMP 150-SEN, Software Engineering Foundations - Sp19 COMP 150-AVS, Program Analysis, Verification, and Synthesis - Fa18 CMSC 430, Introduction to Compilers - Sp12 , Fa12 , Fa13 , Fa14 , Fa15 , Fa16 CMSC 498L, Cybersecurity Lab - Fa12 CMSC 330, Organization of Programming Languages - Fa05 , Fa06 , Fa08 , Fa09 , Sp11 , Fa17 CMSC 631, Program Analysis and Understanding - Fa03 , Fa04 , Sp06 , Sp09 , Fa10 , Sp13 CMSC 433, Programming Languages Technologies and Paradigms - Sp03 , Sp04 , Sp05 CMSC 838F, Language-Based Security - Sp08 CMSC 838F, Language-Based Techniques for Concurrent and Distributed Software - Sp07 Students and Post-Docs Current Sankha Guria Ben Mariano Milod Kazerounian Ugur Koc Brianna Ren Former Kristopher Micinski (PhD) - Interaction-Based Security for Mobile Apps - Haverford College ThanhVu Nguyen (postdoc) - University of Nebraska, Lincoln Nikos Kofinas (Masters) - Google Jinseong Jeon (PhD) - Framework Synthesis for Symbolic Execution of Event-Driven Frameworks - Google Matthew Hammer (postdoc) - University of Colorado Boulder Karla Saur (PhD) - Dynamic Upgrades for High Availability Systems - Intel Labs Stevie Strickland (postdoc) - Google Yit Phang Khoo (PhD) - User-centered Program Analysis Tools - MathWorks Chris Hayden (PhD) - Clear, Correct, and Efficient Dynamic Software Updates - Washington Post Labs David An (Masters) - Dynamic Inference of Static Types for Ruby - LeadPages Evan Chang (postdoc) - Assistant Professor, University of Colorado, Boulder Avik Chaudhuri (postdoc) - Facebook Mike Furr (PhD) - Combining Static and Dynamic Typing in Ruby - Amazon David Greenfieldboyce (Masters) Nicholas Kuilema (Masters) Kin-Keung (Martin) Ma (PhD) - Improving Program Testing and Understanding via Symbolic Execution - Google Jeff Meister (Undergrad) Polyvios Pratikakis (PhD) - Sound, Precise and Efficient Static Race Detection for Multi-threaded Programs - Collaborating researcher, Institute of Computer Science F.O.R.T.H. Elnatan Reisner (Masters) - Jane Street Capital Saurabh Srivastava (PhD) - Satisfiability-Based Program Reasoning and Synthesis - Assistant Research Engineer, UC Berkeley Recent Professional Activities POPL 2020 Program Committee PLDI 2018 General Chair PLDI 2017 Program Committee ICSE 2017 Program Committee OOPSLA 2016 External Review Committee POPL 2016 External Review Committee SOAP 2015 Program Committee ICSE 2015 Program Committee POPL 2015 Program Committee PLDI 2014 Program Committee ESEC/FSE 2013 New Ideas Track Program Committee HotSWUp 2013 Co-chair PLDI 2013 External Review Committee Recent Software RDL - Types and contracts for Ruby Talks - A web app to manage talks diff --git a/src/data/compiled_bios/4551.txt b/src/data/compiled_bios/4551.txt new file mode 100644 index 0000000000..595ab690a1 --- /dev/null +++ b/src/data/compiled_bios/4551.txt @@ -0,0 +1 @@ + Contact sguyer@cs.tufts.edu Halligan Hall 237 161 College Ave Medford, MA (617) 627-4948 Office hours TBA Links Samuel Z. Guyer Associate Professor, Computer Science Department of Computer Science Tufts University Teaching Research Publications People Software Service Personal News August 2, 2016 Our paper Prioritized Garbage Collection: Explicit GC Support for Software Caches is accepted to OOPSLA 2016 Teaching Fall 2014 -- COMP 105: Programming Languages Research Projects I work in a variety of areas of programming language research, including compilers, optimizations, program analysis, and run-time systems. I am particularly interested in techniques that increase communication and cooperation between the runtime system and the programmer, and among runtime system components. Projects are listed below in roughly chronological order starting with the most current. Garbage Collection for Server Applications We are currently looking at new algorithms for garbage collection specifically targeting server applications where heaps are very large, and the time-space tradeoffs are complex. Publications are in the works! Heap Analysis We are working on several tools and techniques for understanding the structure of program heaps. Elephant Tracks is a highly precise GC tracing tool based on the Merlin Algorithm (see software ). HeapViz is a tool for interactive visualization of heap snapshots. Elephant Tracks in ISMM 2013 Visualizing the Allocation and Death of Objects in ISMM 2013 Heap Assertions We developed a family of techniques for checking heap properties at runtime by piggybacking on the garbage collector. They enable very efficient checking of complex properties, such as data structure invariants. GC Assertions in PLDI 2009 DeAL in OOPSLA 2010 Asynchronous Assertions in OOPSLA 2011 Dynamic bug diagnosis The idea behind these projects is to collect extra information (cheaply) at runtime that enable better diagnosis of program failures. Origin tracking encodes the origin of a null reference in its value for use in a null pointer exception. Breadcrumbs encode a full stack trace as single value. Origin Tracking in OOPSLA 2007 Breadcrumbs in PLDI 2010. Compiler-assisted Garbage Collection We developed two compiler-based techniques for helping improve the efficiency of garbage collection. Colocation is a form of pretenuring that instruments allocation sites with a "colocation object" that determines where the new object should reside. FreeMe is a static analysis for automatic individual object reclamation, which helps reduce the burden on the collector. Free Me in PLDI 2006 Dynamic Object Colocation in OOPSLA 2004. Static analysis for security The key novelty in this work is a static analysis algorithm that adapts its precision to the client problem. It starts with a fast flow-insensitive, context-insensitive analysis, which it monitors to determine where precision is lost. It then constructs a fine-grained custom precision policy that is used in a second pass of the analysis. Client-driven Analysis in SCP 2005 my dissertation Library-level optimization My dissertation is about providing compiler support for libraries. Libraries are essentially domain-specific languages without compiler support. Our key contribution is an annotation language for expressing library-specific analyses and optimization. Broadway Compiler in IEEE Library-level optimization in LCPC 2000 my dissertation People Current students Diogenes Nunez -- PhD student working on memory management Raoul Veroy -- PhD student working on heap visualization Mike Shah -- PhD student working on analysis of concurrent programs Karl Cronburg -- PhD student working on new kinds of debuggers Moses Huang -- PhD student working on dynamic analysis of control systems software Former students Eddie Aftandilian (PhD) now at Google Nathan Ricci (PhD) now at Microsoft Software Elephant Tracks We have built a GC tracing tool for Java based on the Merlin algorithm that is implemented using a combination of bytecode rewriting and JVMTI callbacks, so it can be used with any JVM that implements the expected APIs. See the Elephant Tracks web-page for downloads and documentation. Service Program chair OOPSLA SRC 2014 ISMM 2014 OOPSLA SRC 2013 NEPLS 2007 Program committees VEE 2014 PPPJ 2013 PLDI 2012 OOPSLA 2012 CGO 2010 VEE 2010 VEE 2009 VEE 2007 PPPJ 2006 PACT 2005 Personal Updated August 2014 diff --git a/src/data/compiled_bios/4552.txt b/src/data/compiled_bios/4552.txt new file mode 100644 index 0000000000..d2ba6a3436 --- /dev/null +++ b/src/data/compiled_bios/4552.txt @@ -0,0 +1 @@ + Soha Hassoun Professor Department of Computer Science Adjunct Professor Department of Electrical and Computer Engineering Department of Chemical and Biological Engineering School of Engineering Tufts University CV Publications & Patents Service Teaching Students Recent News August 2017: I am co-organizing the Workshop on Microbiomics, Metagenomics, and Metabolomics at ACM BCB . Please join us!! I am also presenting a tutorial on metabolomics. August 2017: Congrats to Neda, Sara, Xinmeng, Vlad, and Linfeng on their accepted posters at ACM BCB! That's 5 posters! June 2017: I presented a Hands-on tutorial at DAC , on connecting devices to the cloud via an IoT design platform. contact info +1 617 627 5177 | | soha @ cs.tufts.edu | Office Hours | Visiting Directions US Postal: 161 College Ave, Medford, MA 02155, USA Publications J. Marcus, S. Hassoun, N. U. Nair, Computational Prediction of Functional Abortive RNA in E. coli" , Genomics (2017) N. Hassanpour, E. Ullah, M. Yousofshahi, N. U. Nair, S. Hassoun, "Selection Finder (SelFi): A Computational Metabolic Engineering Tool to Enable Directed Evolution of Enzymes." , Metabolic Engineering Communications (2017) D. M. Dinh, B. Ramadas, D. Kattula; R. Sarkar, P. Braustein, A. Tai, C. A. Wanke, S. Hassoun, A. V. Kane, E. N. Naumova, G. Kang, H. D. Ward, "Longitudinal Analysis Of The Intestinal Microbiota In Persistently Stunted Young Children In South India" , PloS one 11.5 (2016): e0155405 Ehsan Ullah, Shuchin Aeron, and Soha Hassoun, "gEFM: An Algorithm for Computing Elementary Flux Modes Using Graph Traversal", IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2016 Jan 1;13(1):122-34. Mona Yousofshahi, Sara Manteiga, Charmian Wu, Kyongbum Lee and Soha Hassoun, "PROXIMAL: A Method for Prediction of Xenobiotic Metabolism", BMC Systems Biology. 2015;9:94. doi:10.1186/s12918-015-0241-4 Ehsan Ullah, Mark Walker, Kyongbum Lee, and Soha Hassoun, "PreProPath Algorithm: An Uncertainty-Aware Algorithm for Identifying Predictable Profitable Pathways in Biochemical Networks", IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol.PP, no.99, pp.1,1 doi: 10.1109/TCBB.2015.2394470 Guatham Sridharan, Ehsan Ullah, Soha Hassoun, and Kyongbum Lee, "Discovery of Substrate Cycles in Large Scale Metabolic Networks Using Hierarchical Modularity" , BMC Systems Biology 9, no. 1 (2015): 5. doi:10.1186/s12918-015-0146-2 Brad Gaynor and Soha Hassoun, "Simulation Methodology and Evaluation of Through-Silicon Via (TSV)-FiNFET Noise Coupling in 3-D Integrated Circuit" , IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 23.8 (2015): 1499-1507 Brad Gaynor and Soha Hassoun, "Fin Shape Impact on FinFET Leakage With Application to Multithreshold and Ultralow-Leakage FinFET Design" , IEEE Transactions on Electron Devices 2014, PP:99 doi:10.1109/TED.2014.2331190 Mona Yousofshahi, Ehsan Ullah, Russell Stern and Soha Hassoun, "MC 3 : A Steady-State Model and Constraint Consistency Checker for Biochemical Networks" , BMC Systems Biology 2013, 7:129 doi:10.1186/1752-0509-7-129 Mona Yousofshahi, Michael Orshansky, Kyongbum Lee, and Soha Hassoun "Probabilistic Strain Optimization Under Constraint Uncertainty" , BMC Systems Biology 2013, 7:29 doi:10.1186/1752-0509-7-29 Brad Gaynor and Soha Hassoun , "Parasitic Back-Gate Effect in 3-D Fully Depleted Silicon on Insulator Integrated Circuits" , IEEE Transactions on Components, Packaging and Manufacturing Technology, Issue 99, 2013 Nauman Khan, Syed Alam, and Soha Hassoun , "GND Plugs: A Superior Technology to Mitigate TSV-Induced Substrate Noise" , IEEE Transactions on Components, Packaging and Manufacturing Technology, March 26, 2013 Gautham Vivek Sridharan, Michael Yi, Soha Hassoun and Kyongbum Lee , "Metabolic Flux-Based Modularity using Shortest Retroactive Distances" , BMC Systems Biology, 2012, 6:155 http://www.biomedcentral.com/1752-0509/6/155 Doug Densmore and Soha Hassoun , "Design Automation for Synthetic Biological Systems" , IEEE Design & Test of Computers, Volume:29 , Issue: 3, May/June 2012. Soha Hassoun , "Genetic/Bio Design Automation for (Re-)engineering Biological Systems" , Design and Test in Europe, 2012. Nauman Khan, and Soha Hassoun, "The Feasibility of Carbon Nanotubes for Power Delivery in 3-D Integrated Circuits" , Asia-Pacific Design Automation Conference (ASP-DAC), January, 2012. Gautham Sridharan, Soha Hassoun, and Kyongbum Lee , "Identification of Biochemical Network Modules based on Shortest Retroactive Distances" , PLoS Computational Biology, 2011. Nauman Khan, Syed Alam, and Soha Hassoun, "Power Delivery Design For 3-D ICs Using Different Through-Silicon Via (TSV) Technologies" , IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 19, no. 4, pp. 647 - 658, March, 2011 Mona Yousofshahi, Kyongbum Lee, and Soha Hassoun, "Probabilistic Pathway Construction" , Metabolic Engineering, 13 (2011) 435-444. Nauman Khan, Syed Alam, and Soha Hassoun, "Mitigating TSV-induced Substrate Noise in 3-D ICs using GND Plugs" , International Symposium on Quality Electronic Design (ISQED), 2011 Jinhai Qiu, Sherief Reda, and Soha Hassoun, "Fast, Accurate Routing Delay Estimation" , International Workshop on System Level Interconnect Prediction (SLIP), pp. 77 - 82, 2010. Nauman Khan, Sherief Reda, and Soha Hassoun, "Early Estimation Of TSV Area For Power Delivery In 3-D Integrated Circuits" , IEEE International Conference on 3D System Integration (3DIC), 2010, 1-6 John Rieffel, Frank Saunders, Shilpa Nadimpalli, Harvey Zhou, Soha Hassoun, Jason Rife, Barry Trimmer, "Evolving Soft Robotic Locomotion In Physx" , GECCO '09 Proceedings of the 11th Annual Conference Companion on Genetic and Evolutionary Computation Conference Nauman Khan, Syed Alam, and Soha Hassoun, "System-Level Comparison Of Power Delivery Design For 2D And 3D ICs" , IEEE International Conference on 3D System Integration (3DIC), 2009 Nauman Khan, Syed Alam, and Soha Hassoun, "Through-Silicon Via (TSV)-Induced Noise Characterization And Noise Mitigation Using Coaxial TSVs" , IEEE International Conference on 3D System Integration (3DIC), 2009 Ehsan Ullah, Kyongbum Lee, and Soha Hassoun, "An Algorithm For Identifying Dominant-Edge Metabolic Pathways" , IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 144 - 150, 2009 Brian Swahn and Soha Hassoun, "Electro-Thermal Analysis of Multi-Fin Devices" , IEEE Transactions on Very Large Scale Integration (VLSI), 816-829, July 2008 Brian Swahn and Soha Hassoun, "Gate Sizing - Finfets Vs 32Nm Bulk Mosfets" , IEEE/ACM Design Automation Conference, July, 2006 Brian Swahn and Soha Hassoun, "METS - A Metric For Electro-Thermal Sensitivity, And Its Application To Finfets" , International Symposium on Quality Electronic Design (ISQED), 2006 Soha Hassoun, M. Kudlugi, C. Selvidge, and D. Pryor, "A Transaction-Based Unified Architecture for Simulation and Emulation" , IEEE Transactions on Very Large Scale Integration (VLSI) Systems, vol. 13, no. 2, February, 2005, p 278-287 Soha Hassoun and C. Alpert, "Optimal Path Routing in Single- and Multiple-Clock Domain Systems" , IEEE Transaction on Computer-Aided Design, November, 2003 Soha Hassoun, C., Cromer, and E. Calvillo-Gamez, "Static Timing Analysis For Level-Clocked Circuits In The Presence Of Crosstalk" , IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, v 22, n 9, p 1270-7, Sept. 2003 Brian Swahn and Soha Hassoun, "Hardware Scheduling for Dynamic Adaptability Using External Profiling and Hardware Threading" , IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 58-64, 2003 Soha Hassoun, "Optimal Use Of 2-Phase Transparent Latches In Buffered Maze Routing" , International Symposium on Circuits and Systems (ISCAS), IV-688 - IV-691 vol.4 Soha Hassoun and Geert Janssen, "First CADathlon Programming Contest Held at 2002 ICCAD" , IEEE Design and Test Magazine, pp. 104-107, May-June, 2003. Soha Hassoun and Diana Marculescu, "Towards GALS Design Methodologies" , Workshop on Formal Methods For Globally Asynchronous Locally Synchronous (GALS) Architecture, September, 2003 Fadi Aloul, Soha Hassoun, K. Sakallah, and D. Blaauw, "Robust SAT-Based Search Algorithm For Leakage Power Reduction" , International Workshop on Power and Timing Modeling, Optimization and Simulation (PATMOS), 2002. Soha Hassoun, C. Alpert, and M. Thiagarajan, "Optimal Buffered Routing Path Constructions For Single And Multiple Clock Domain Systems" , IEEE/ACM International Conference on Computer Aided Design (ICCAD), p 247-53, 2002 Soha Hassoun, C., Cromer, and E. Calvillo-Gamez, "Verifying Clock Schedules in the Presence of Cross Talk" , Design, Automation and Test in Europe Conference (DATE), 2002. Soha Hassoun and T. Sasao, Editors, "Logic Synthesis and Verification" , Kluwer Academic Publishers, 2002. Soha Hassoun and T. Villa, "Optimization of Synchronous Circuits" , a chapter in "Logic Synthesis and Verification", editors: Hassoun and Sasao, Kluwer Academic Publishers, pp. 225-253, 2002. Soha Hassoun and Soheila Bana, "Practices For Recruiting And Retaining Graduate Women Students In Computer Science And Engineering" , International Conference on Microelectronic Systems Education, 2001 Kudlugi, M.; Hassoun, S.; Selvidge, C.; Pryor, D., "A Transaction-Based Unified Simulation/Emulation Architecture For Functional Verification" , IEEE/ACM Design Automation Conference (DAC), p 623-8, 2001 Soha Hassoun, "Critical Path Analysis Using A Dynamically Bounded Delay Model" , IEEE/ACM Design Automation Conference (DAC), 260-265, June, 2000 Soha Hassoun, and C. McCreary, "Regularity Extraction Via Clan-Based Structural Circuit Decomposition" , IEEE/ACM International Conference on Computer-Aided Design (ICCAD), pp. 414-419, November, 1999 Soha Hassoun, "Fine Grain Incremental Rescheduling Via Architectural Retiming" , International Symposium on System Synthesis (ISSS), pp. 158-163, December, 1998 Soha Hassoun and Carl Ebeling, "Using Precomputation In Architecture And Logic Resynthesis" , International Conference on Computer-Aided Design (ICCAD), pp. 316-423, November, 1998 Soha Hassoun and Carl Ebeling, "An Overview Of Prediction-Based Architectural Retiming" , International Workshop on Timing Issues in the Specification and Synthesis of Digital Systems (TAU), December, 1997 Soha Hassoun and Carl Ebeling, "Experiments In The Iterative Application Of Resynthesis And Retiming" , International Workshop on Timing Issues in the Specification and Synthesis of Digital Systems (TAU), December, 1997 Soha Hassoun and Carl Ebeling, "Architectural Retiming - Pipelining Latency-Constrained Circuits" , IEEE/ACM Design Automation Conference (DAC), 708-713, 1996 Soha Hassoun and Carl Ebeling, "Architectural Retiming - An Overview" , International Workshop on Timing Issues in the Specification and Synthesis of Digital Systems (TAU), 1995 Kevin Bolding, Sen-Ching Cheung, Sung-Eun Choi, Carl Ebeling, Soha Hassoun, Ton Anh Ngo,Robert Wille, "The Chaos Router Chip: Design and Implementation of an Adaptive Router" , International Conference on Very Large Scale Integration (VLSI), p. 311-20, 1994 Soha Hassoun and Gaetano Borriello, "Improving Finite State Assignment for Two-Level Programmable Logic Devices" , International Workshop on Logic Synthesis (IWLS), May, 1993 D. Dobberpuhl, R. Witek, R. Allmon, R. Anglin, D. Bertucci, S. Britton, L. Chao, R. Conrad, D. Dever, B. Gieseke, Soha Hassoun, G. Hoeppner, K. Kuchler, M. Ladd, B. Leary, L. Madden, E. McLellan, D. Meyer, J. Montanaro, D. Priore, V. Rajagopalan, S. Samudrala, S. Santhanam. "A 200 MHz 64-b Dual-Issue CMOS Microprocessor, "A 200-Mhz 64-B Dual-Issue CMOS Microprocessor" , IEEE Journal of Solid-State Circuits, November, 1992, Vol. 27, No. 11. Also appears in Digital Technical Journal. Vol. 4, No. 4, 1992 R. Allmon, B. Benschneider, M. Callander, L. Chao, D. Dever, J. Farrell, N. Fitzgerald, J. Grodstein, Soha Hassoun, L. Hudepohl, D. Kravitz, J. Lundberg, R. Marcello, S. Marino, J. Pickholtz, R. Preston, M. Richesson, S. Samudrala, and D. Sanders, "System, Process, And Design Implications Of A Reduced Supply Voltage Microprocessor" , IEEE International Solid-State Circuits Conference (ISSCC), February, 1990 W. Dally, L. Chao, A. Chien, Soha Hassoun, W. Horwat, J. Kaplan, P. Song, B. Totty, and S. Wills, "Architecture Of A Message-Driven Processor" , International Symposium on Computer Architecture (ISCA), June, 1987. (A re-write of this article appears in the Best of ISCA 2000.) Patents B. Gaynor and S. Hassoun, "Integrated Circuit with Multi-Threshold Bulk FinFETst", provisional filed in March 2014 N. Khan, S. Hassoun, and S. Alam, "Mitigating TSV-induced Substrate Noise in a 3-D Integrated Circuit", US2012/029003 S. Hassoun and B. Swahn, "Circuit Having Hardware Threading" , US Patent 7,797,64740435 C. Selvidge, K. Crouch, M. Kudlugi, and S. Hassoun, "Non-synchronized multiplex data transport across synchronous systems" , US Patent 6,961,69138657 C. Alpert and S. Hassoun , "Optimal Buffered Routing Path Constructions for Single and Multiple Clock Domain Systems" , US Patent 6,915,36138538 S. Hassoun and D. Sanders, "Method and Apparatus for Parity Generation" , US Patent 5,557,62235325 Service Professional Executive Leadership Roles Chair , Design Automation Conference (DAC), the premier conference in Design Automation with an annual budget of over $2.5M and over 100 volunteers, 2014 Vice Chair , Design Automation Conference (DAC), 2013 Member , Executive Committee, Design Automation Conference (DAC), 2011-2014 General Chair , International Conference on Computer-Aided Design (ICCAD), 2006 Vice Chair , the International Conference on Computer-Aided Design (ICCAD), 2005 Member , Executive Committee, the International Conference on Computer-Aided Design (ICCAD), 2001-2007 Chair , The International Workshop on Logic and Synthesis, 2002 Co-Founder, the International Workshop on Biology Design Automation (IWBDA), 2009 Steering committee member , the International Workshop on Biology Design Automation (IWBDA), 2009-2012 Professional Technical Leadership Roles Technical Program Co-Chair , Design Automation Conference (DAC), 2012-2011 Design Community Chair , Design Automation Conference (DAC), 2010-2009 Technical Program Chair , the International Conference on Computer-Aided Design (ICCAD), the second largest conference in EDA at the time, 2004 Technical Program Co-Chair , the International Conference on Computer-Aided Design (ICCAD), 2003 Subcommittee Chair on Synthesis, Design Automation Conference (DAC), 2003-2005 Technical Program Chair , The International Workshop on Logic and Synthesis, 2001 Publicity Chair , the International Workshop on Bio Design Automation (IWBDA), 2010 Program Committees ACM Conference on Bioinformatics, Computational Biology and Biomedical Informatics (ACM BCB), 2013 The International Conference on Computer-Aided Design (ICCAD), 2011-2013 Design Automation Conference (DAC), 2002-2005 The International Workshop on Timing Issues in the Specification and Synthesis of Digital Systems (TAU), 2002-2006 The International Workshop on Biology Design Automation, 2009-present The International Workshop on Logic and Synthesis (IWLS), 2001-2005 Editorship Roles Associate Editor , IEEE Design and Test Magazine (D&T), 2002- 2011, 2013-present Member, selection committee for the EIC for the ACM Transactions on Design Automation of Electronic Systems (TODAES), Fall 2013 Associate Editor , IEEE Transactions on Computer-Aided Design (TCAD), January 2002- January 2006 Guest Editorials Guest Editor, with Yervant Zorian (Synopsys), for IEEE Design and Test Magazine special section on the 50 th Design Automation Conference, May-June 2014 Guest Editor, with Douglas Densmore (Boston University), for IEEE Design and Test Magazine special section on Bio Design Automation, May-June 2012 Guest Editor, with Leon Stok (IBM Watson) and Steve Nowick (Columbia), for IEEE Transactions on Computer-Aided Design special issue on Logic Synthesis, May 2003 Guest Editor, with Sani Nassif (IBM Austin Research Labs) for IEEE Design and Test Magazine special issue on Power Grid Design and Analysis, May-June 2003 Guest Editor, with Yong-Bin Kim (Northeastern) and Fabrizio Lombardi (Northeastern), for IEEE Design and Test Magazine special issue on Clockless Design, November-December 2003 Professional Society Leadership Roles Vice President of Technical Activities, IEEE CEDA (Council on Design Automation), 2007-2008 Advisory Board member , ACM's Special Interest on Design Automation (SIGDA), 1999-2004 Director of Educational Activities , ACM/SIGDA, 2001-2004 Member , the CACM (Communication of the ACM) Task Force, A group of dynamic individuals charged by then President of ACM, David Patterson, to remap the key flag publication, 2004 Reviewing and Best Paper Selection Committees Reviewer , IEEE Transactions on Computer-Aided Design, ACM Transaction on Design Automation of Electronic Systems, IEEE Transaction on VLSI, IEEE Transaction on Electron Devices, IEEE Transactions on Components, Packaging and Manufacturing Technology, ACM Journal on Emerging Technologies in Computing Systems, IEEE Transactions on Electron Devices, Bioinformatics, PLOS ONE Panelist , NSF Panels in 2014, 2012, 2011, 2010, 2009, 2008, 2007, 2004, 2003, 2002; MICRO program, 2004, 2003; NIH 2012, 2014 Member, Best paper selection committee, ICCAD 2003 Member, Best paper selection committee, DAC 2010 Chair, Best paper committee, DAC 2011 Diversity/Outreach Service Member , Grace Hopper Celebration for Women Scholarship Application Committee, 2014 Co-organizer, CRAW/CDC Discipline Specific Workshop on Diversity in Design Automation, San Francisco, May 2014, with funding from CRA-W, NSF, ACM/SIGDA, and IEEE CEDA Co-organizer, 2012 Young Faculty Workshop at DAC, San Francisco, June 2012 Other Service Founded, organized, and oversaw for several years the following programs: The Ph. D. Forum at DAC (founded: 1997, Overseer: 1997-2002), the CADathlon Programming Contest at ICCAD (International Conference on Computer-Aided Design) (founded 2003, Overseer 2003-2007), and the Design Automation Summer School (founded 2001, Overseer in 2001, 2005, 2007) Member , Defense Science Study Group, Institute for Defense Analysis, Nominated by Tufts Dean of Engineering and appointed by DARPA, 2009-2011 Society Memberships IEEE, senior member ACM, senior member AIChE, member Society of Biological Engineers, member Tufts Departmental Service Chair , Department of Computer Science, 09/2013-present Co-Founder and Contact Person, Tufts Young CS Alum group, 08/2013-present Associate Chair , Department of Computer Science, 09/2012-05/2013 Member , search committee for Bridge Professorship in Cognitive Science, 02/2014-present Graduate Program Director , 2005-2006, and member of the graduate committee 2001-2007 Faculty search committee , 2003-2004, 2004-2005, 2008-2009 Undergraduate Committee Chair , 2008-2009 Organizer , CS department seminars, Fall 2013; EECS department seminars, Fall 2000, Spring 2001, Fall 2001 Member , Computer Engineering Curriculum Committee, EECS department, 1999-2001 Tufts University Service Chair, Research Day on Data Science, May 2014 Member, Council on Diversity at Tufts, 09/2012-12/2013 Fellow, Tisch College of Citizenship and Public Service, 2010-2011 Member, Faculty Research Award Committee, 09/2009-05/2013 Fellow, Tufts Center for the Enhancement of Learning and Teaching (CELT), 2009-2010 Member, Campus Planning and Development Committee (CPDC), 09/2001- 05/2005 Member, Equal Educational Opportunity Committee (EEOC), 09/2001- 05/2004 Attendee, Critical Thinking Faculty Workshop at Tufts, May, 5/1999 Attendee, Faculty Workshop on Teaching Diverse Student Populations, 5/1998 diff --git a/src/data/compiled_bios/4553.txt b/src/data/compiled_bios/4553.txt new file mode 100644 index 0000000000..79469ac2b1 --- /dev/null +++ b/src/data/compiled_bios/4553.txt @@ -0,0 +1 @@ + Michael Hughes Assistant Professor Michael Hughes Assistant Professor Phone 617-627-2225 Email michael.hughes@tufts.edu Halligan Hall, Room 210 161 College Ave, Medford, MA Research: machine learning, probabilistic models, optimization, clinical informatics Biography: Michael C. (Mike) Hughes works on statistical machine learning. He develops methods that find useful structure in large, messy datasets and help people make decisions in the face of uncertainty. His research interests include Bayesian hierarchical models, optimization algorithms for approximate inference, model fairness and interpretability, and applications in medicine and the sciences. Active projects include helping clinicians understand and treat diseases like depression and infertility by training probabilistic models to make personalized drug recommendations for new patients based on the thousands of electronic health records observed from previous patients. Hughes completed a Ph.D. in computer science at Brown University in 2016 and spenttwo years as a postdoctoral fellow at the School of Engineering and Applied Sciences at Harvard University. His research papers and open-source code are available at www.michaelchughes.com . Education: Ph.D., Computer Science, Brown University, 2016 M.S., Computer Science, Brown University B.S., Electrical and Computer Engineering, Olin College of Engineering, 2010 Professional Experience: 2018-present: Assistant Professor, Department of Computer Science, Tufts University 2016-2018: Postdoctoral Fellow, Harvard University Selected Honors and Awards: 2011: Graduate Research Fellowship Award, National Science Foundation Selected Professional Activities: 2017: Workshop Organizer, Machine Learning for Health (ML4H) Workshop, NIPS 2017 2016: Workshop Organizer, Practical Bayesian Nonparametrics Workshop, NIPS 2016 Professional Memberships: Association for the Advancement of Artificial Intelligence American Medical Informatics Association, Clinical Research Informatics Working Group Service Memberships: 2014: Signal Program Fellow, Harvard Humanitarian Initiative diff --git a/src/data/compiled_bios/4554.txt b/src/data/compiled_bios/4554.txt new file mode 100644 index 0000000000..3f0bc6a175 --- /dev/null +++ b/src/data/compiled_bios/4554.txt @@ -0,0 +1 @@ + Rob Jacob Robert J.K. Jacob Dept. of Computer Science Tufts University Halligan Hall 161 College Avenue Medford, MA 02155 U.S.A. Email: WWW: http://www.cs.tufts.edu/~jacob/ Phone: 617-627-2225 Fax: 617-627-2227 Office Hours: Normally Mondays, 3:15 p.m. Halligan 215 Background Robert Jacob is a Professor of Computer Science at Tufts University, where his research interests are new interaction modes and techniques and user interface software; his current work focuses on implicit brain-computer interfaces. He has been a visiting professor at the University College London Interaction Centre, Universite Paris-Sud, and the MIT Media Laboratory. Before coming to Tufts, he was in the Human-Computer Interaction Lab at the Naval Research Laboratory. He received his Ph.D. from Johns Hopkins University, and he is a member of the editorial board for the journal Human-Computer Interaction and a founding member for ACM Transactions on Computer-Human Interaction. He has served as Vice-President of ACM SIGCHI, Papers Co-Chair of the CHI and UIST conferences, and General Co-Chair of UIST and TEI. He was elected as a member of the ACM CHI Academy in 2007 and as an ACM Fellow in 2016. Current Research: Implicit Brain-Computer Interfaces The current focus in my research group is on a new generation of "implicit" brain-computer interfaces. They allow a computer to obtain and act on auxiliary inputs from its user without requiring explicit user action or attention. Brain-computer interaction has made dramatic progress, but its main application to date has been for physically disabled users. Our work in real-time measurement and machine learning classification of functional near infrared spectroscopy (fNIRS) brain data is allows to create, use, and study new kinds of implicit user interfaces based on brain measurement. We are using brain input as a way to obtain more information about the user and their context in an effortless and direct way from their brain activity. We then use it to adapt the user interface in real time. We are creating and studying these new user interfaces, with emphasis on domains where we can measure their efficacy. We are now also broadening this work to include other forms of lightweight, passive, real-time adaptive implicit interaction, based on physiological or other measurements. Our focus continues to be on the design of subtle and effective implicit interfaces that make judicious use of the measurements we can obtain. [General article] [Overview chapter] [More papers] Papers, Talks, News Papers with links to electronic versions of recent ones Talks and other presentations Professional activities Inducted as ACM Fellow 2016 Gave opening keynote at First Neuroadaptive Technology Conference NAT'17, Berlin, 2017 CHI 2016 paper on brain-computer interaction for music learning by Beste Yuksel et al. received Best Paper Award. Beste Yuksel's research on music learning reported in New Scientist IEEE Computer Special Issue on Physiological Computing, with Erin Solovey as guest co-editor, published October 2015 [Editors' introducton] [Contents] [Audio interview] Research featured in the Boston Globe (March 3, 2014), The Times (London), New York Post, and elsewhere. Video and article about our research featured in Tufts Now , also on WBUR's Radio Boston and CCTV America CHI 2014 paper on brain-computer interaction by Dan Afergan et al. received Best Paper Honorable Mention Award. Dan Afergan's research on brain-computer interfaces reported in New Scientist Evan Peck's research on brain-computer interfaces reported in New Scientist , ACM Tech News , and Discovery News . CHI 2012 paper on brain-computer interaction by Erin Solovey et al. received Best Paper Honorable Mention Award. This work was also covered by MIT Technology Review, extremetech.com , and many other places. Comment on future iPads in Huffington Post Comment on TV remote controls [also posted here] Still more comments, on the Spark radio show on CBC [podcast; segment starts around 0:06] [MP3, 53MB] Some comments on the legacy of Steve Jobs Mike Horn's work on tangible programming languages for children, at the Boston Museum of Science, reported on NECN TV [podcast]. Computerworld article [link] [local copy] discusses Reality-Based Interaction Elected to ACM CHI Academy 2007 [more info] (Photo courtesy of Ben Shneiderman) Some Previous Research Projects Reality-based Interaction: Understanding the Next Generation of User Interfaces [project] [CHI paper] [CHI workshop] Tangible Programming for children [Michael Horn] [project] [Robot Park] at Boston Museum of Science TUIMS: Tangible User Interface Management System [Orit Shaer] [paper] Courses Fall 2018 COMP 86 Object-Oriented Programming for Graphical User Interfaces Spring 2018 COMP 171 Human-Computer Interaction Ph.D. Alumni Beste Yuksel , University of San Francisco Dan Afergan , Google Inc. Evan Peck , Bucknell University Erin Solovey , Drexel University Audrey Girouard , Carleton University Leanne Hirshfield , Syracuse University Michael Horn , Northwestern University Michael Poor , Baylor University Orit Shaer , Wellesley College Georgios Christou , European University Cyprus Horn-yeu Shiaw, HCI Inc. Vildan Tanriverdi, IBM Leon Deligiannidis , Wentworth Institute of Technology Stephen Morrison, Intersystems Some Links Dept. of Computer Science HCI at Tufts School of Engineering Tufts University HCI Pioneers web page BostonCHILabs a consortium of Boston-area HCI universities and research groups Pictures of my family Miscellaneous photography and computer art Kathy's latest book (Group photo courtesy of Dan Afergan) diff --git a/src/data/compiled_bios/4555.txt b/src/data/compiled_bios/4555.txt new file mode 100644 index 0000000000..d94a24cb06 --- /dev/null +++ b/src/data/compiled_bios/4555.txt @@ -0,0 +1 @@ + Matias Korman Visiting Assistant Professor Matias Korman Visiting Assistant Professor Phone 617-627-2225 Email matias.korman@tufts.edu Halligan Hall, Room 005 161 College Ave, Medford, MA Research: computational geometry, efficient algorithms Biography: Matias Korman is a visiting assistant professor in the Department of Computer Science. He studies computational geometry, with a focus on creating efficient algorithms. He received a Ph.D. in computer science from Tohoku University in Sendai, Japan, and bachelor's degrees in mathematics and computer science from theUniversitat Politcnica de Catalunya in Barcelona, Spain. Education: Ph.D., Computer Science, Tohoku University, 2009 B.S., Mathematics, Universitat Politcnica de Catalunya B.S., Computer Science, Universitat Politcnica de Catalunya Professional Experience: 2018-present: Visiting Assistant Professor, Department of Computer Science, Tufts University 2015-2018: Assistant Professor, Tokuyama Laboratory, Tohoku University 2013-2015: Research Assistant Professor, National Institute of Informatics, Tokyo 2012-2013: Postdoctoral Researcher,Universitat Politcnica de Catalunya 2009-2011: Postdoctoral Researcher,Universit Libre de Bruxelles Selected Professional Activities: 2017-2018: Guest Editor, Journal of Information Processing diff --git a/src/data/compiled_bios/4556.txt b/src/data/compiled_bios/4556.txt new file mode 100644 index 0000000000..517e5155da --- /dev/null +++ b/src/data/compiled_bios/4556.txt @@ -0,0 +1 @@ + Susan Landau Professor Bridge Professor in Cyber Security and Policy Professor, The Fletcher School of Law and Diplomacy Susan Landau Professor Bridge Professor in Cyber Security and Policy Professor, The Fletcher School of Law and Diplomacy Phone 617-627-4792 Email susan.landau@tufts.edu Halligan Hall 161 College Avenue, Medford, MA Research: cyber security policy, communications surveillance, privacy Biography: Susan Landau works at the intersection of cyber security, national security, law, and policy. She has testified before Congress, written for the Washington Post , Science , and Scientific American , and frequently appears on NPR and BBC. Her previous positions include senior staff privacy analyst at Google, distinguished engineer at Sun Microsystems, and faculty member at Worcester Polytechnic Institute, the University of Massachusetts Amherst, and Wesleyan University. Education: Ph.D., MIT, 1982 M.S., Cornell University, 1979 B.A., Princeton University, 1976 Selected Honors and Awards: 2015: Inductee, National Cyber Security Hall of Fame 2012: Surveillance Studies Book Prize 2012: Fellow, John S. Guggenheim Foundation 2011: Fellow, Association for Computing Machinery 2010-2011: Fellow, Radcliffe Institute for Advanced Study, Harvard University 2000: Fellow, American Association for the Advancement of Science Selected Professional Activities: 2016-present: Member, Forum on Cyber Resilience, National Academies of Sciences, Engineering, and Medicine 2015-present: Area Editor in Political and Policy Perspectives, Journal of Cybersecurity 2013-2016: Associate Editor in Chief, IEEE Security and Privacy 2010-2016: Member, Computer Science and Telecommunications Board, National Academies of Sciences, Engineering, and Medicine 2002-2008: Member, Information Security and Privacy Advisory Board, National Institute of Standards and Technology 1994-2001: Associate Editor, Notices of the American Mathematical Society Professional Memberships: Association for Computing Machinery (ACM), American Association for the Advancement of Science (AAAS) diff --git a/src/data/compiled_bios/4557.txt b/src/data/compiled_bios/4557.txt new file mode 100644 index 0000000000..48e2c6b4f2 --- /dev/null +++ b/src/data/compiled_bios/4557.txt @@ -0,0 +1 @@ + Liping Liu The Schwartz Family Assistant Professor CS , Tufts Halligan Hall 234 161 College Ave. Medford, MA 02155 email: liping.liu@tufts.edu phone: (617)627-0556 twitter: @lipingliulp CV: [link] blog: [link] pub. list: [link] Research My research focuses on probabilistic models for learning problems arising from real applications. My research interests include probabilistic graphical models, Bayesian deep learning, spatial data modeling, text modeling. See my publication list . Ongoing research projects Amortized variational inference for Gaussian processes [ Liu & Liu, 2018 ] Embedding models: generalization of embedding models to items [ Liu & Blei, 2017 ] [ bird embedding ]. Spatial modeling: model spatial data with Gaussian processes Image Segmentation/Generation: segmenting images from probabilistic models Previous research projects Gaussian approximation of CGM , Superset (partial) label learning , Active learning for clustering , Labeling extremely imbalanced data Teaching Spring 2019: COMP 150 Deep Neural Networks Fall 2018: COMP 135 Introduction to Machine Learning Spring 2018: COMP 135 Introduction to Machine Learning Fall 2017: COMP 150-01 Machine Learning for Ecology and Sustainability Bio Sketch I received my B.S. in computer science from Hebei University of Technology in 2006. After three years study in LAMDA group , I received my M.S. degree from Nanjing Univeristy in 2009. My advisor was Prof. Yuan Jiang and Zhi-Hua Zhou . Then I worked in Alibaba for one year and a half. After that, I went to Oregon State University and completed my PhD degree in 2016. My PhD advisor was Prof. Thomas Dietterich . Prior to joining Tufts, I worked as a postdoc researcher at Columbia University working with Prof. David Blei . Designed with Jekyll and Markdown by Liping Liu. Last modified on 11/05/2018 diff --git a/src/data/compiled_bios/4558.txt b/src/data/compiled_bios/4558.txt new file mode 100644 index 0000000000..ee376b99df --- /dev/null +++ b/src/data/compiled_bios/4558.txt @@ -0,0 +1 @@ + Noah Mendelsohn Professor of the Practice Tufts University Department of Computer Science noah@cs.tufts.edu Teaching In Spring of 2018 I am teaching COMP 117: Internet-Scale Distributed systems . That course was until 2017 numbered COMP 150-IDS. In Fall of 2017 I taught Comp 40: Machine Structure and Assembly Language Programming . Contacting me The best way to reach me is via e-mail to noah@cs.tufts.edu . I read that regularly, including when I am away from home or office. My Tufts office is: Halligan Hall 214 161 College Ave Medford, MA, 02155 I prefer e-mail whenever that's quick enough for you, but for cases where it's urgent that you speak to me, I have established a Google Voice number 617-506-3994 that you can call or text. When you call, it will ask your name, and then it will try ringing my mobile, my home, etc. Be patient, it can take a minute or so while it tries my phones. Office hours My office hours for Spring term of 2019 will be from 3:30 PM to 4:15 PM, immediately before I teach COMP 117. Please email me if you want to arrange to meet at some other time. Work outside of Tufts Until summer of 2013 I was for several years the chair of the World Wide Web Consortium's Technical Architecture Group ; the TAG is the senior steering committee responsible for the architectural integrity of the World Wide Web. I retired from IBM in 2010, and I hold the honorary title of IBM Distinguished Engineer Emeritus. More information Those of us who worked at W3C tend to find a lot of our specification drafts and e-mails posted publicly on the Web. That greatly increases our search karma so... if you do a Web search for my name , most of what comes back will indeed be about me. Other sources of information about my work, hobbies, etc. outside of Tufts can be found at: My public home page: http://www.arcanedomain.com/ Blog: http://blog.arcanedomain.com/ Twitter: http://twitter.com/noahmendelsohn The Web site includes my work history , a list of my publications and talks , and a page describing some CS papers that I particularly like . diff --git a/src/data/compiled_bios/4559.txt b/src/data/compiled_bios/4559.txt new file mode 100644 index 0000000000..c3228e9fd1 --- /dev/null +++ b/src/data/compiled_bios/4559.txt @@ -0,0 +1 @@ + Megan Monroe Lecturer Megan Monroe Lecturer Phone 617-627-2225 Email mmonroe@cs.tufts.edu Halligan Hall, Room 006 161 College Avenue, Medford, MA Research: data, visualization, language Biography: Megan Monroe came to Tufts from IBM Research, where she designed and developed visual analytics tools for a wide range of Watson technologies, including client-facing interfaces, as well as visual dashboards to enable the back-end debugging of machine learning algorithms. Monroes doctoral work at the University of Maryland focused on the analysis of temporal, event-based records, such as electronic health records and transaction logs. The EventFlow visualization tool that she developed has been used by Washington D.C. Childrens Hospital, the U.S. Army Pharmacovigilance Center, University of Floridas College of Medicine, and many others. Her interests cover not only a wide range of computation, but also the application of computational thinking as a general problem-solving technique. Education: Ph.D., Computer Science, University of Maryland-College Park, 2014 M.S., Computer Science, University of Maryland-College Park, 2012 B.S., Computer Science, Carnegie Mellon University, 2005 Selected Professional Activities: 2016: Co-Organizer, The Event Event Workshop, IEEE Information Visualization Conference 2016: Reviewer, ACM Human Factors in Computing Systems 2016: Reviewer, IEEE Information Visualization Conference diff --git a/src/data/compiled_bios/456.txt b/src/data/compiled_bios/456.txt new file mode 100644 index 0000000000..bc7c42a2a5 --- /dev/null +++ b/src/data/compiled_bios/456.txt @@ -0,0 +1 @@ +Xueyan Tang Associate Professor School of Computer Science and Engineering Nanyang Technological University Nanyang Avenue Singapore 639798 Office: N4-02a-31 Tel: (+65) 6790-5356 Fax: (+65) 6792-6559 Research Position Openings Short Biography Xueyan Tang is currently an Associate Professor in the School of Computer Science and Engineering at Nanyang Technological University , Singapore. He received his Ph.D. degree in Computer Science from the Hong Kong University of Science and Technology in 2003, and his B.Eng. degree in Computer Science and Engineering from Shanghai Jiao Tong University in 1998. Prior to his undergraduate study, he received his secondary education in the No.2 Secondary School Attached to East China Normal University from 1988 to 1994. Research Interests Distributed systems, cloud computing, mobile and pervasive computing, wireless sensor networks. Professional Activities Associate Editor, IEEE Transactions on Parallel and Distributed Systems (2010-2014) Program Co-Chair, ICPADS'2012 , CloudCom'2014 TPC Member, INFOCOM'2011 , 2012 , 2013 , 2014 , 2015 , 2016 , 2017 , 2018 , 2019 TPC Member, ICDCS'2012 , 2015 TPC Member, ICDE'2010 , 2011 Selected Publications Note: To download papers from the ACM Digital Library with its Author-Izer Service, please ensure that you are accessing this page at the URL of http://www.ntu.edu.sg/home/asxytang/ Y. Li, Y. Deng, X. Tang , W. Cai, X. Liu, and G. Wang. Cost-Efficient Server Provisioning for Cloud Gaming. ACM Transactions on Multimedia Computing, Communications, and Applications , vol. 14, issue 3s, article no. 55, 22 pages, August 2018. Y. Li, X. Tang , W. Cai, J. Tong, X. Liu, G. Wang, C. Gao, X. Cao, G. Geng, and M. Li. Index Shard Replication Strategies for Improving Resource Utilization in Large Scale Search Engines. In Proceedings of the 47th International Conference on Parallel Processing (ICPP) , article no. 84, 10 pages, August 2018. J. Tang, X. Tang , and J. Yuan. Profit Maximization for Viral Marketing in Online Social Networks: Algorithms and Analysis. IEEE Transactions on Knowledge and Data Engineering , vol. 30, no. 6, pp. 1095-1108, June 2018. J. Tang, X. Tang , X. Xiao, and J. Yuan. Online Processing Algorithms for Influence Maximization. In Proceedings of the 2018 ACM SIGMOD International Conference on Management of Data (SIGMOD) , pp. 991-1005, June 2018. Y. Deng, Y. Li, R. Seet, X. Tang , and W. Cai. The Server Allocation Problem for Session-based Multiplayer Cloud Gaming. IEEE Transactions on Multimedia , vol. 20, no. 5, pp. 1233-1245, May 2018. J. Tang, X. Tang , and J. Yuan. Traffic-Optimized Data Placement for Social Media. IEEE Transactions on Multimedia , vol. 20, no. 4, pp. 1008-1023, April 2018. J. Tang, X. Tang , and J. Yuan. Towards Profit Maximization for Online Social Network Providers. In Proceedings of IEEE INFOCOM'2018 , pp. 1178-1186, April 2018. [ Full Version ] Y. Li, Y. Deng, X. Tang , W. Cai, X. Liu, and G. Wang. On Server Provisioning for Cloud Gaming. In Proceedings of the 25th ACM International Conference on Multimedia (MM) , pp. 492-500, October 2017. J. Tang, X. Tang , and J. Yuan. Influence Maximization Meets Efficiency and Effectiveness: A Hop-Based Approach. In Proceedings of the 9th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) , pp. 64-71, August 2017. [ Full Version ] R. Ren and X. Tang . Online Flexible Job Scheduling for Minimum Span. In Proceedings of the 29th ACM Symposium on Parallelism in Algorithms and Architectures (SPAA) , pp. 55-66, July 2017. C. Li and X. Tang . Brief Announcement: Towards Fault-Tolerant Bin Packing for Online Cloud Resource Allocation. In Proceedings of the 29th ACM Symposium on Parallelism in Algorithms and Architectures (SPAA) , pp. 231-233, July 2017. Q. Wang, M. M. Tan, X. Tang , and W. Cai. Minimizing Cost in IaaS Clouds via Scheduled Instance Reservation. In Proceedings of the 37th IEEE International Conference on Distributed Computing Systems (ICDCS) , pp. 1565-1574, June 2017. R. Ren, X. Tang , Y. Li, and W. Cai. Competitiveness of Dynamic Bin Packing for Online Cloud Server Allocation. IEEE/ACM Transactions on Networking , vol. 25, no. 3, pp. 1324-1331, June 2017. L. Zhang, X. Tang , and B. He. Analysis of Minimum Interaction Time for Continuous Distributed Interactive Computing. IEEE Transactions on Parallel and Distributed Systems , vol. 28, no. 2, pp. 401-415, February 2017. J. Tang, X. Tang , and J. Yuan. Profit Maximization for Viral Marketing in Online Social Networks. In Proceedings of the 24th IEEE International Conference on Network Protocols (ICNP) , 10 pages, November 2016. Y. Deng, Y. Li, X. Tang , and W. Cai. Server Allocation for Multiplayer Cloud Gaming. In Proceedings of the 24th ACM International Conference on Multimedia (MM) , pp. 918-927, October 2016. R. Ren and X. Tang . Clairvoyant Dynamic Bin Packing for Job Scheduling with Minimum Server Usage Time. In Proceedings of the 28th ACM Symposium on Parallelism in Algorithms and Architectures (SPAA) , pp. 227-237, July 2016. X. Tang , Y. Li, R. Ren, and W. Cai. On First Fit Bin Packing for Online Cloud Server Allocation. In Proceedings of the 30th IEEE International Parallel and Distributed Processing Symposium (IPDPS) , pp. 323-332, May 2016. S. Chen, S. Jiang, B. He, and X. Tang . A Study of Sorting Algorithms on Approximate Memory. In Proceedings of the 2016 ACM SIGMOD International Conference on Management of Data (SIGMOD) , pp. 647-662, June 2016. H. Zheng and X. Tang . The Server Provisioning Problem for Continuous Distributed Interactive Applications. IEEE Transactions on Parallel and Distributed Systems , vol. 27, no. 1, pp. 271-285, January 2016. Y. Li, X. Tang , and W. Cai. Dynamic Bin Packing for On-Demand Cloud Resource Allocation. IEEE Transactions on Parallel and Distributed Systems , vol. 27, no. 1, pp. 157-170, January 2016. Y. Lu, D. Wu, B. He, X. Tang , J. Xu, and M. Guo. Rank-Aware Dynamic Migrations and Adaptive Demotions for DRAM Power Management. IEEE Transactions on Computers , vol. 65, no. 1, pp. 187-202, January 2016. [ Appendix ] Y. Li, X. Tang , and W. Cai. Play Request Dispatching for Efficient Virtual Machine Usage in Cloud Gaming. IEEE Transactions on Circuits and Systems for Video Technology , vol. 25, no. 12, pp. 2052-2063, December 2015. Y. Li, Y. Deng, R. Seet, X. Tang , and W. Cai. MASTER: Multi-platform Application Streaming Toolkits for Elastic Resources. In Proceedings of the 23rd ACM International Conference on Multimedia (MM) , pp. 805-806, October 2015. H. Zheng and X. Tang . Analysis of Server Provisioning for Distributed Interactive Applications. IEEE Transactions on Computers , vol. 64, no. 10, pp. 2752-2766, October 2015. [ Appendix ] Y. Lu, B. He, X. Tang , and M. Guo. Synergy of Dynamic Frequency Scaling and Demotion on DRAM Power Management: Models and Optimizations. IEEE Transactions on Computers , vol. 64, no. 8, pp. 2367-2381, August 2015. [ Appendix ] J. Tang, X. Tang , and J. Yuan. Optimizing Inter-Server Communication for Online Social Networks. In Proceedings of the 35th IEEE International Conference on Distributed Computing Systems (ICDCS) , pp. 215-224, June 2015. Y. Li, X. Tang , and W. Cai. Let's Depart Together: Efficient Play Request Dispatching in Cloud Gaming. In Proceedings of the 13th Annual International Workshop on Network and Systems Support for Games (NetGames) , 6 pages, December 2014. Y. Li, X. Tang , and W. Cai. On Dynamic Bin Packing for Resource Allocation in the Cloud. In Proceedings of the 26th ACM Symposium on Parallelism in Algorithms and Architectures (SPAA) , pp. 2-11, June 2014. [ Interview ] L. Zhang and X. Tang . The Client Assignment Problem for Continuous Distributed Interactive Applications: Analysis, Algorithms, and Evaluation. IEEE Transactions on Parallel and Distributed Systems , vol. 25, no. 3, pp. 785-795, March 2014. L. Zhang, X. Tang , and B. He. Brief Announcement: On Minimum Interaction Time for Continuous Distributed Interactive Computing. In Proceedings of the 32nd Annual ACM Symposium on Principles of Distributed Computing (PODC) , pp. 122-124, July 2013. H. Zheng and X. Tang . On Server Provisioning for Distributed Interactive Applications. In Proceedings of the 33rd IEEE International Conference on Distributed Computing Systems (ICDCS) , pp. 500-509, July 2013. K. Pan, X. Tang , W. Cai, S. Zhou and H. Zheng. Hierarchical Interest Management for Distributed Virtual Environments. In Proceedings of the 2013 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation (SIGSIM PADS) , pp. 137-146, May 2013. W. Zhao and X. Tang . Scheduling Sensor Data Collection with Dynamic Traffic Patterns. IEEE Transactions on Parallel and Distributed Systems , vol. 24, no. 4, pp. 789-802, April 2013. C. Chen, B. He, X. Tang , C. Chen, and Y. Liu. Green Databases Through Integration of Renewable Energy. In Proceedings of the 6th Biennial Conference on Innovative Data Systems Research (CIDR) , 11 pages, January 2013. L. Zhang and X. Tang . Optimizing Client Assignment for Enhancing Interactivity in Distributed Interactive Applications. IEEE/ACM Transactions on Networking , vol. 20, no. 6, pp. 1707-1720, December 2012. C. Chen, B. He, and X. Tang . Green-Aware Workload Scheduling in Geographically Distributed Data Centers. In Proceedings of the 4th IEEE International Conference on Cloud Computing Technology and Science (CloudCom) , pp. 82-89, December 2012. D. Wu, B. He, X. Tang , J. Xu, and M. Guo. RAMZzz: Rank-Aware DRAM Power Management with Dynamic Migrations and Demotions. In Proceedings of the 2012 ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis (SC) , article no. 32, 11 pages, November 2012. D. Ta, T. Nguyen, S. Zhou, X. Tang , W. Cai, and R. Ayani. Interactivity-Constrained Server Provisioning in Large-Scale Distributed Virtual Environments. IEEE Transactions on Parallel and Distributed Systems , vol. 23, no. 2, pp. 304-312, February 2012. L. Zhang and X. Tang . The Client Assignment Problem for Continuous Distributed Interactive Applications. In Proceedings of the 31st IEEE International Conference on Distributed Computing Systems (ICDCS) , pp. 203-214, June 2011. W. Zhao and X. Tang . Scheduling Data Collection with Dynamic Traffic Patterns in Wireless Sensor Networks. In Proceedings of IEEE INFOCOM'2011 , pp. 286-290, April 2011. L. Zhang and X. Tang . Client Assignment for Improving Interactivity in Distributed Interactive Applications. In Proceedings of IEEE INFOCOM'2011 , pp. 3227-3235, April 2011. X. Tang and S. Zhou. Update Scheduling for Improving Consistency in Distributed Virtual Environments. IEEE Transactions on Parallel and Distributed Systems , vol. 21, no. 6, pp. 765-777, June 2010. K. Pan, W. Cai, X. Tang , S. Zhou, and S. J. Turner. A Hybrid Interest Management Mechanism for Peer-to-Peer Networked Virtual Environments. In Proceedings of the 24th IEEE International Parallel and Distributed Processing Symposium (IPDPS) , 12 pages, April 2010. J. Xu, X. Tang , H. Hu and J. Du. Privacy-Conscious Location-Based Queries in Mobile Environments. IEEE Transactions on Parallel and Distributed Systems , vol. 21, no. 3, pp. 313-326, March 2010. Y. Yao, X. Tang , and E.-P. Lim. Localized Monitoring of kNN Queries in Wireless Sensor Networks. The VLDB Journal , vol. 18, no. 1, pp. 99-117, January 2009. X. Tang , J. Xu, and W.-C. Lee. Analysis of TTL-Based Consistency in Unstructured Peer-to-Peer Networks. IEEE Transactions on Parallel and Distributed Systems , vol. 19, no. 12, pp. 1683-1694, December 2008. X. Tang and J. Xu. Optimizing Lifetime for Continuous Data Aggregation with Precision Guarantees in Wireless Sensor Networks. IEEE/ACM Transactions on Networking , vol. 16, no. 4, pp. 904-917, August 2008. X. Tang and J. Xu. Adaptive Data Collection Strategies for Lifetime-Constrained Wireless Sensor Networks. IEEE Transactions on Parallel and Distributed Systems , vol. 19, no. 6, pp. 721-734, June 2008. J. Xu, X. Tang , and W.-C. Lee. A New Storage Scheme for Approximate Location Queries in Object Tracking Sensor Networks. IEEE Transactions on Parallel and Distributed Systems , vol. 19, no. 2, pp. 262-275, February 2008. M. Wu, J. Xu, X. Tang , and W.-C. Lee. Top-k Monitoring in Wireless Sensor Networks. IEEE Transactions on Knowledge and Data Engineering , vol. 19, no. 7, pp. 962-976, July 2007. X. Tang , H. Chi, and S. T. Chanson. Optimal Replica Placement under TTL-Based Consistency. IEEE Transactions on Parallel and Distributed Systems , vol. 18, no. 3, pp. 351-363, March 2007. X. Tang and S. T. Chanson. Analysis of Replica Placement under Expiration-Based Consistency Management. IEEE Transactions on Parallel and Distributed Systems , vol. 17, no. 11, pp. 1253-1263, November 2006. Y. Yao, X. Tang , E.-P. Lim, and A. Sun. An Energy-Efficient and Access Latency Optimized Indexing Scheme for Wireless Data Broadcast. IEEE Transactions on Knowledge and Data Engineering , vol. 18, no. 8, pp. 1111-1124, August 2006. X. Tang and J. Xu. Extending Network Lifetime for Precision-Constrained Data Aggregation in Wireless Sensor Networks. In Proceedings of IEEE INFOCOM'2006 , pp. 755-766, April 2006. J. Xu, W.-C. Lee, X. Tang , Q. Gao, and S. Li. An Error-Resilient and Tunable Distributed Indexing Scheme for Wireless Data Broadcast. IEEE Transactions on Knowledge and Data Engineering , vol. 18, no. 3, pp. 392-404, March 2006. J. Xu, X. Tang , and W.-C. Lee. Time-Critical On-Demand Data Broadcast: Algorithms, Analysis, and Performance Evaluation. IEEE Transactions on Parallel and Distributed Systems , vol. 17, no. 1, pp. 3-14, January 2006. X. Tang and J. Xu. QoS-Aware Replica Placement for Content Distribution. IEEE Transactions on Parallel and Distributed Systems , vol. 16, no. 10, pp. 921-932, October 2005. J. Xu, W.-C. Lee, and X. Tang . Exponential Index: A Parameterized Distributed Indexing Scheme for Data on Air. In Proceedings of the 2nd ACM/USENIX International Conference on Mobile Systems, Applications, and Services (MobiSys) , pp. 153-164, June 2004. X. Tang and S. T. Chanson. Minimal Cost Replication of Dynamic Web Contents under Flat Update Delivery. IEEE Transactions on Parallel and Distributed Systems , vol. 15, no. 5, pp. 431-439, May 2004. X. Tang and S. T. Chanson. The Minimal Cost Distribution Tree Problem for Recursive Expiration-Based Consistency Management. IEEE Transactions on Parallel and Distributed Systems , vol. 15, no. 3, pp. 214-227, March 2004. J. Xu, X. Tang , and D. L. Lee. Performance Analysis of Location-Dependent Cache Invalidation Schemes for Mobile Environments. IEEE Transactions on Knowledge and Data Engineering , vol. 15, no. 2, pp. 474-488, March/April 2003. X. Tang and S. T. Chanson. Coordinated En-Route Web Caching. IEEE Transactions on Computers , vol. 51, no. 6, pp. 595-607, June 2002. 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Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers, or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from Publications Dept., ACM, Inc., fax +1 (212) 869-0481, or permissions@acm.org. diff --git a/src/data/compiled_bios/4560.txt b/src/data/compiled_bios/4560.txt new file mode 100644 index 0000000000..93b5926438 --- /dev/null +++ b/src/data/compiled_bios/4560.txt @@ -0,0 +1 @@ + Norman Ramsey Send email to nr@cs.tufts.edu . Send physical documents to my postal address . If you come yourself you'll want directions . Telephone +16176274923. Skype (chat preferred): norman-ramsey AIM: norman62ramsey Yahoo chat: norman_ramsey Fax +16176272227 (but if you can, scan and email instead) My vita and public key (now with photo!) are online. I type 75 words per minute . We are typists first , so test yourself . On this page: What I do Papers Teaching Forstudents Aboutme Who I am and what I do I do research in programming languages and teach a mix of classes at Tufts University . Inthe last five or six years, Ihave had my fingers in a lot of pies! Programming-language infrastructure Of all the problems in making programming-language infrastructure reusable, the most challenging is this: ifwe are given a new machine and are told what its instructions do, how do we generate code forit? Working with my student and postdoc Joo Dias, I have developed methods of automatically generating an instruction selector the heart of a code generatorfrom declarative machine descriptions ( POPL 2010 ). We've also published the abstraction that the instruction selector is built on (POPL 2011) . Ideas about infrastructure are most convincing when they are deployed. In2014, my groups ideas about code generation were deployed in a new code generator for the Glasgow Haskell Compiler (GHC) . Deployment required several years effort from Joo Dias, Simon Marlow of Microsoft Research, Simon Peyton Jones of Microsoft Research, andme. Thenew code generators most interesting component is a reusable, higher-order optimization library, Hoopl (Haskell 2010) , which uses generalized algebraic data types to guarantee at compiler-compile time that no matter what Haskell program it is given, GHC never builds an ill-formed control-flow graph. Languages and learning People who want to learn to use programming languages effectively can try starting with an industrial language, but the sheer size of a typical industrial language and library make it hard to discover and apply the ideas that make the language worth learning. People can also consult books, but existing books primarily talk about programming languages, or they talk about how programming languages are implemented, or they steer people to industrial languages. Tomake it possible for people not just to learn about great ideas in programming languages, but to build software that applies these ideas effectively, Ihave designed and implemented a collection of tiny programming languages for language learners. Using my languages, learners can build programs that apply some of the greatest ideas in programming languages: functions, types, and objects. The languages form the skeleton of a new book, Programming Languages: Build, Prove, and Compare , which will be published by Cambridge University Press. While implementing the languages Icreated for the book, Ifound an interesting problem: there is a big engineering gap between simple, definitional interpreters, which we write to illustrate precisely what a language is supposed to mean, and industrial-strength interpreters and compilers, which we write to run programs efficiently. Tonarrow this gap, Ive investigated ways of engineering definitional interpreters to be more efficient, without making them much harder to write ( PPDP 2013 ). Because programming languages are the medium in which software is written, they are also the medium in which beginners learn to build software. The programming language and technique taught in introductory courses are widely believed to affect learning. I have recently piloted a first course based on How to Design Programs by Felleisen et al. , which uses functional programming languages and techniques. My analysis, refinements, and recommendations have just been published at the International Conference on Functional Programming (ICFP 2014). Language applications, design, and semantics Languages and techniques are refined, evaluated, and improved by using them on real problems. Ive applied functional-programming techniques to computational biology; working with graduate students in computational biology, Ishowed ways in which functional programming works to help solve their problems (ICFP 2012) . We also identified obstacles that prevented functional programming from working as well as it could have. Another application area, machine learning, builds on Bayesian reasoning about probabilities. But in current practice, a programmers Bayesian ideas are usually hand-translated into a general-purpose programming language like Matlab orC++. Such programmers might be much more productive if given a probabilistic programming language, in which Bayesian reasoning can be expressed directly. With support from DARPA , I'm working with colleagues from BAE Systems and Northeastern University on the design and semantics for probabilistic programming languages. Curricular development Over the past seven years, Ihave revamped a significant portion of Tufts's required undergraduate curriculum in computer science. Our students are required to take four courses that have programming assignments. Asa result of my work, these courses now ask much more of our students than they did formerly, and they also offer more. Inparticular, wenow offer many more challenging, rewarding problems of a sort that students would not think to tackle on their own. In addition to the pilot introductory course mentioned above, Ihave completely redesigned the third and fourth courses in our programming sequence. Our third course, COMP40 (Machine Structures and Assembly-Language Programming) , is most similar to a course in machine organization or systems programming. Iredesigned the course to focus on two sets of skills: applied data abstraction and machine-level programming. The redesigned course, which has now been taught by three other instructors, is viewed by some as the most valuable course in our department. It is highly praised on surveys of graduating seniors, who are given the opportunity to identify just one course that exemplifies "what a truly excellent college course should be." I replaced an older "paradigms" course in programming languages with a new required course in programming languages , COMP105, which demands that students learn to use key programming-language ideas in actual programming, and which also demands some mathematical content (e.g., operational semantics, equational proofs). The course, which uses my draft book Programming Languages: Build, Prove, and Compare , effectively serves as our fourth programming course. COMP105 is also highly regarded by students and mentioned on senior surveys, although not quite as much as COMP40. I also have some opinions about what else we should be teaching . My teaching and curricular work were recognized with the 2015 Lerman-Neubauer Prize for Outstanding Teaching and Advising . This prize is awarded annually to a member of the Tufts faculty who has had a profound intellectual impact on his or her students, both inside and outside the classroom. Selected papers This page show my most significant and most recent papers. Links are to abstracts so you can check out the topic without downloading a monster. For a complete view, including older work, see my publications list . Five most significant papers Relocating Machine Instructions by Currying . Proceedings of the ACM SIGPLAN '96 Conference on Programming Language Design and Implementation , in SIGPLAN Notices , 31(5):226236, May 1996. This paper connects two worlds: the ``low cult'' of systems programming and the pure, mathematical world of the lambda-calculus. The key insight is that relocation, which is a low-level operation performed on binary code, is an instance of currying, which is the expression of a multiple-argument function in the lambda-calculus. Stochastic Lambda Calculus and Monads of Probability Distributions (with Avi Pfeffer ). Proceedings of the 29th ACM Symposium on the Principles of Programming Languages, in SIGPLAN Notices , 37(1):154165, January 2002. This paper explores the design of probabilistic languages in a foundational, principled way. Its special contribution is to analyze important implementation techniques in a way that is completely formal and is rigorously connected to the theory of probability. A Transformational Approach to Binary Translation of Delayed Branches (with Cristina Cifuentes ). ACM Transactions on Programming Languages and Systems , 25(2):210224, March 2003. The paper solves a small but difficult problem in analysis of binary codes. This problem is repeatedly a stumbling block for industry groups that work with binary codes, and Ibelieve our solution is definitive. An Expressive Language of Signatures (with Kathleen Fisher and Paul Govereau ). In Proceedings of the Tenth ACM SIGPLAN International Conference on Functional Programming (ICFP'05) , pages2740, September 2005. Selected as one of the best papers of ICFP 2005. In this paper, we identified an important class of programming problems the solutions to which cannot be expressed in current languages, and we showed that these problems can be solved by new mechanisms that cohere with an existing language. Automatically Generating Instruction Selectors Using Declarative Machine Descriptions (with Joo Dias ). In Proceedings of the 37th ACM Symposium on the Principles of Programming Languages , pages403416, January 2010. The most beautiful results from Joo Dias's doctoral dissertation: (a)if all you know is the semantics of the intermediate code and the target instruction set, generating a code generator is undecidable; and (b)by using a clever new heuristic search based on algebraic laws, Joo can generate code generators for real machines quickly. The core of the algorithm combines Hoare logic and unification to find sequences of machine instructions that implement intermediate code. Will appeal especially to those who like inference rules with their compilers. Five other significant papers Specifying Representations of Machine Instructions (with MaryF. Fernndez ). ACM Transactions on Programming Languages and Systems , 19(3):492524, May 1997. This is the most technical and the definitive description of my early work on declarative machine descriptions. A Single Intermediate Language That Supports Multiple Implementations of Exceptions (with SimonL. Peyton Jones ). Proceedings of the ACM SIGPLAN'00 Conference on Programming Language Design and Implementation, in SIGPLAN Notices , 35(5):285298, May 2000. This paper is the most technical and rigorous of the C--papers. It exemplifies what Iam trying to achieve inC--: clean, low-level mechanisms that compiler writers can use to implement different high-levellanguage features and to control cost tradeoffs. An Algebraic Approach to File Synchronization (with Eld Csirmaz). In Proceedings of the 8th European Software Engineering Conference (ESEC) and 9th ACM SIGSOFT Symposium on the Foundations of Software Engineering (FSE-9) , pages175185, September 2001. This paper discusses how to maintain consistency among multiple replicas of files that may be modified concurrently. We proposed reasoning about this problem by examining the algebraic structure of a sequence of modifications. A Generalized Algorithm for Graph-Coloring Register Allocation (with MichaelD. Smith and Glenn Holloway). ACM SIGPLAN'04 Conference on Programming Language Design and Implementation , in SIGPLAN Notices , 39(6):277288, June 2004. A new technique for dealing with irregularities in target machines, which arise because not all machine registers can be used interchangeably. We hope this will be the definitive paper on handling irregular register files in a graph-coloring register allocator. Staged Allocation: A Compositional Technique for Specifying and Implementing Procedure Calling Conventions (with Reuben Olinsky and Christian Lindig ). In Proceedings of the 33rd ACM Symposium on the Principles of Programming Languages , pages409421, January 2006. A specification language for parameter passing, unique in having a formal semantics. Together with an earlier paper on stack-frame layout, a complete approach to calling conventions. Other recent papers These are some recent papers not listed above. They are in chronological order , so the most recent work is at the bottom . Hoopl: A Modular, Reusable Library for Dataflow Analysis and Transformation (with Joo Dias and SimonL. PeytonJones ). In Proceedings of the 3rd ACM SIGPLAN Symposium on Haskell (Haskell2010) , September 2010. We implement dataflow analysis and transformation in modular fashion using advanced features of Haskell. Unlike our 2009 technical report, which emphasizes the advantages of using Hoopl, this paper focuses on the implementation, which has been carefully modularized to separate each of the tricky bits from all of the others. Of greatest interest to hard-core functional programmers and compiler writers. Resourceable, Retargetable, Modular Instruction Selection Using a Machine-Independent, Type-Based Tiling of Low-Level Intermediate Code (with Joo Dias ). In Proceedings of the 38th ACM Symposium on the Principles of Programming Languages , pages575586, January 2011. In most compilers, building an instruction selector requires a mapping from intermediate form to target-machine instructions. The mapping must be defined once per target machine. Here we describe a single mapping that works for all register machines. By using this mapping, we make the machine-dependent components simple enough that they can be generated automatically. Teaching Technical Writing Using the Engineering Method . March 2011. A handbook for teaching writing to students in science or engineering. Accompanied by a student's edition. Embedding an Interpreted Language Using Higher-Order Functions and Types . Journal of Functional Programming , 21(6):585615, November 2011. (A previous version appeared in ACM SIGPLAN 2003 Workshop on Interpreters, Virtual Machines and Emulators .). Homage to Olivier Danvy : How to embed an application-specific function into an interpreter simply by describing its type. The paper, while not technically deep, shows the capabilities of functional languages to elegant advantage, and it is representative of my work on interpreters. Experience Report: Haskell in Computational Biology (with NoahM. Daniels and Andrew Gallant). In Proceedings of the Seventeenth ACM SIGPLAN International Conference on Functional Programming (ICFP'12) , pages227234, September 2012. Selected as one of the best papers of ICFP 2012. Encouragement for computational biologists to try Haskell. If you are a functional programmer, you will see an interesting variation on lazy search. You might also get some insight into why beginners may find it difficult to use QuickCheck. Engineering Definitional Interpreters (with Jan Midtgaard and Bradford Larsen). In Proceedings of the 15th International Symposium on Principles and Practice of Declarative Programming (PPDP'13) , pages121132, September 2013. Definitional interpreters can be simple but often don't perform very well. Mature bytecode interpreters can perform very well but aren't simple or easy to build. This paper recounts our extensive search for the "best simple" variation on a definitional interpreter written in a functional language. MRFy: Remote Homology Detection for Beta-Structural Proteins Using Markov Random Fields and Stochastic Search (with NoahM. Daniels, Andrew Gallant, Norman Ramsey , and LenoreJ. Cowen). IEEE/ACM Transactions on Computational Biology and Bioinformatics , 12(1):416, 2015. A preliminary version of this paper appeared in the Fourth ACM International Conference on Bioinformatics, Computational Biology, and Biomedical Informatics (ACM BCB 2013) , where it was recognized as a Best Student Paper. Results of our work on stochastic search for protein homologies. The search tool was written in the functional language Haskell. On Teaching How to Design Programs : Observations from a Newcomer . In Proceedings of the Nineteenth ACM SIGPLAN International Conference on Functional Programming (ICFP'14) , pages153166, September 2014. In Fall 2013 I taught introductory programming using the interesting textbook How to Design Programs . If you might teach from this book, this paper contains lots of useful information about how to prepare and teach such a course. Symbolic Bayesian Inference by Lazy Partial Evaluation (with Chung-Chieh Shan). July 2015. To draw a probabilistic inference from an observation of measure zero, disintegrate a continuous space into an infinite family of posterior distributions. Then use the observation to select one member of the family. Chung-Chieh Shan's work is brilliant and I'm proud to be associated with it. (If you liked my work on the probability monad, this paper is a good next step.) For a complete view, including older work, see my publications list . The ACM requires this disclaimer: The documents contained in these pages are included to ensure timely dissemination of scholarly and technical work on a non-commercial basis. Copyright and all rights therein are maintained by the authors or by other copyright holders, notwithstanding that they have offered their works here electronically. It is understood that all persons copying this information will adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder. Teaching In Fall2017 Iam teaching COMP250RTS (Run-Time Systems) . In Spring2018 Iwill be teaching COMP105 (Programming Languages) . In the past, I have taught COMP150PP (Probabilistic Programming Languages) , COMP150TW (The Engineering Method of Technical Writing) . COMP50 , apilot version of the first course that Ihave co-developed with Ben Hescott; COMP40 (Machine Structures and Assembly-Language Programming) ; COMP105 (Programming Languages) ; COMP150GIT (Functional Programming and Source-Code Control) ; COMP150DAO (Dataflow Analysis and Optimization) ; and COMP150FP (Advanced Functional Programming) . I have also taught many courses at other universities that need not be named. Resources for Students Office hours for Spring 2019 are Monday 4:30to5:00, Tuesday 2:30to3:00, Friday 11:00to12:00 (except March 8 and April 5), or by appointment. To make an appointment, please post to Piazza, or send email, with three times that work for you. I am always interested in discussing projects with students, and I often have several undergraduate or master's students working with me part-time. I have gathered material of interest to research students , including resources for writers , how to give a talk . Undergraduate research students might also be interested, especially in my thoughts about how to get admitted to a PhD program . And I tell you what you need to give me (and when) if you want a letter of recommendation . If you want to teach at a community college, here are some tips from a community-college dean. About Me My professional home is in the Department of Computer Science at Tufts University . My GPG public key's fingerprint is 72F7 B434 AB7C D7D0 D5A9 B537 BD01 D704 7276 3614 . My ORCID ID is 0000-0002-5435-1135 . Some people think I'm a power user ; others think I never sleep . They may be right; my ~/bin directory contains over a thousand scripts, almost all of which I wrote myself. But alot of people know me only as the creator of noweb . Ihave twice served ACM as a member of the SIGPLAN Executive Committee. I served as program chair for ICFP'07 . Isigned the email charter ; if you won't, Iwon't. After years of relying on the kindness of strangers, Ifinally started carrying a cell phone . I no longer maintain a hot list ; this is more of a random list. An interest in personal productivity and pointers from Benjamin Pierce and Phil Wadler got me to Inbox Zero on Wed 21 Feb 2007 at 6:00PM. After serious lossage caused by various alarums and excursions, Irecovered Zero at 6:30PM on Mon 31 Dec 2007. Itwas a pleasure to start the New Year with an empty inbox! After starting at Tufts, I got a little behind; at the end of my first year, my email debt was over 600messages. Atthe end of my third year, at 9:12PM on Monday 23 May 2011, Irecovered Zero once again, but IcheatedIput 600messages from 2009and2010 into an email demilitarized zone . The next time I got to Zero was at 5:03PM on Wednesday 29 August 2012, again at 2:54PM on 30 May 2014, again at 6:34PM on 12 November 2014, and again at 12:00PM on 7 June 2017. For a time I almost thought I detected a pattern there. I'm a Dou ble Tiger , a Bellcore alumnus , and a long-standing member of the Luxuriant Flowing Hair Club for Scientists , and I have an Erds Number of3. I've been seen wearing orange and black academic regalia . Despite these distinguished credentials, I'm not ashamed to subscribe to a magazine with a centerfold . Asecret vice is that I used to answer programming questions for fun ; at one time, Iwas the 40th most reputable contributor (out of over 100,000) on Stack Overflow (motto: "This thread has been closed as Off Topic"). Along the way I earned silver Specialist badges inC, Haskell , programming languages , functional programming , and a couple of other topics. Ive seen one total eclipse of the sun . Although I read extensively about viewing eclipses, Istill was not prepared to take it allin. Youcan read my advice to my future self . Although it surprises people, for over forty years Ihave been a foot ball fan though I wouldn't mind realignment . When it's not football season, I've been known to make sawdust or play Guild Wars . Ialso have a rare autographed copy of Ad Verbum . I try to avoid P.J.Brown's deadly sins . I'm married to a licensed psychologist , game designer , and modder . I've appeared onstage (and in various clubs ) as a jazz pianist, as a dancer , but most often as a chorister . My wish-fulfillment dreams are of sleeping. diff --git a/src/data/compiled_bios/4561.txt b/src/data/compiled_bios/4561.txt new file mode 100644 index 0000000000..2258c1a16e --- /dev/null +++ b/src/data/compiled_bios/4561.txt @@ -0,0 +1 @@ + Matthias Scheutz Professor Bernard M. Gordon Senior Faculty FellowAdjunct Professor, Psychology, Tufts School of Arts & Sciences Human-Robot Interaction Lab Matthias Scheutz Professor Bernard M. Gordon Senior Faculty FellowAdjunct Professor, Psychology, Tufts School of Arts & Sciences Human-Robot Interaction Lab Phone 617-627-0453 Email matthias.scheutz@tufts.edu Halligan Hall, Room 205 161 College Avenue, Medford, MA ResearcherID Research: artificial intelligence, artificial life, cognitive modeling, complex systems, foundations of cognitive science, human-robot interaction, multi-scale agent-based models, natural language processing Biography: Matthias Scheutz is a professor of cognitive and computer science, and director of the Human-Robot Interaction Laboratory at Tufts University. Education: Ph.D., Cognitive Science and Computer Science, Indiana University, 1999 M.S., Computer Science, Indiana University, 1996 Ph.D., Philosophy, University of Vienna, 1995 M.Sc.E., Computer Engineering, Vienna University of Technology, 1993 M.S., Formal Logic, University of Vienna , 1993 M.A., Philosophy, University of Vienna, 1989 Teaching/Courses Taught: COMP-0150-BBR: Behavior-Based Robotics COMP-0150: Human-Robot Interaction COMP-0150: Computational Models in Cognitive Science diff --git a/src/data/compiled_bios/4562.txt b/src/data/compiled_bios/4562.txt new file mode 100644 index 0000000000..e82f5ab70e --- /dev/null +++ b/src/data/compiled_bios/4562.txt @@ -0,0 +1 @@ + Mark Sheldon Mark A. Sheldon Department of Computer Science Tufts University Halligan Hall, Room 224 161 College Avenue Medford, MA02155 USA Email: Web page: http://www.cs.tufts.edu/~msheldon/ Phone: 617-627-2491 Fax: 617-627-2227 Office hours for Spring 2019: T/Th 1400 16:30 and by appointment Signing up for Comp 11 2018 Fall Should I take Comp 11 or Comp 15? Auditing Signing up for Comp 11 2018 Fall For Fall 2018, we are doing a new version of Comp 11, Introduction to Computer Science. There will be two sections, and both sections meet Tu, Thu 3:00 4:15 pm. We will divide the sections up at the start of the term based on previous programming experience. You can sign up for either section now, and we'll sort you into sections when the term starts. Since both sections meet at the same time, we can do this. If you are unable take Comp 11 at that time, then you will not be able to take Comp 11 in the fall there will not be a meeting at another time. Should I take Comp 11 or Comp 15? Many incoming students or others with some programming experience are curious about whether they should take Comp 11 (Introduction to Computer Science) or Comp 15 (Data Structures). There is no single right answer. I've written the following guide to thinking about the choice. Comp 11 and Comp 15 currently both use C++. Comp 11 covers problem solving and basic programming skills from scratch no experience necessary. You'll learn about how to break a problem down and solve it in a well-structured program, which means encoding your solution in a way that a computer can execute. This means that you'll learn something about how computers work, too. The programming tools you'll learn include values, variables, expressions, conditional execution ( if statements), functions, recursion, loops, arrays, structs, and classes. All of these tools are pretty common in introductory courses students might take elsewhere (though recursion is often skipped). Unlike most courses students have elsewhere, students also learn about computer memory organization, pointers, and manual allocation and deallocation of memory (dynamic arrays and linked lists). All of this is done on our department computers, which run the GNU/Linux operating system. Comp 11 also includes two substantial programming projects, the second of which requires the student to manage memory in an application with 2 3 classes Comp 15 starts from there. I sometimes call Comp 15 Tools every working programmer must know: it covers a variety of data abstractions that can be employed in many practical applications, their implementations and performance tradeoffs. Students solve larger problems and write larger programs, all of which require multiple source files. We also learn more about memory management, too, and use recursion a lot more. Comp 15 also includes two substantial programming projects that are more complex than those in Comp 11 and that involve making choices about data structures and their implementations. Students with a strong programming background would be bored in Comp 11 for the first two thirds of the course. In the final month or so of the term, you work on larger projects (and use pointers), so most students with a high school background are challenged by the end of the course. If you skip Comp 11, then, if you don't know about pointers, memory allocation/deallocation, and Unix, then you'll have to learn those skills in Comp 15. It's doable, and we support students during the transition, but it will be substantially more work for the first 3 5 weeks or so while you catch up on those topics. If you have a busy schedule and are settling in to college, then it might make sense to take the easier course, reinforce the skills you have and acquire a few more take Comp 11 (but don't complain that you already know the material for the first part of the course). This fall, we'll have a section for those with prior experience, and I'm hoping to do some other things, but we will still review and make sure the basics are strong. If you are up for a challenge and are willing to do extra work, or if you already know about pointers, then take Comp 15. Finally, as a rough guide: If you have a background in programming using C++ and know about classes, pointers, new , and delete , then you'll probably be ok in Comp 15. If your background is in C, and you are comfortable with pointers, then you'll have to work to come up to speed on data abstraction with classes, but Comp 15 should be in reach. If your background is in Java, then it will be substantially more work, even though you probably understand how to use classes better than is necessary. While the languages are syntactically similar, their memory models are different. As I said above, many students succeed with this background, but it's substantially more work for the first month or two. If you're background is in Python, then you have a larger gap to make up (static typing plus different syntax and the way we build programs). You may choose to give Comp 15 a try for a week and then switch to Comp 11 if there is space. Going the other way is not recommended: coming in after others are well along in the transition will put you way too far behind. Auditing Students often ask about auditing a course, like Comp 11, 15, 40, etc. Generally, I'm not a fan of auditing a programming course. If you don't actually do the work, you won't get any benefit at all: lectures are ok, but you won't build programming skills without programming (just like watching videos of people riding a bike won't enable to ride a bike). On the other hand, if you are doing the work, then you may as well take the class. If you're not in the class, but using staff resources to answer questions and grade your work, then you are competing with people who are paying for the course. So, my position is, assuming there is room: You are welcome to attend lectures and do the work own, but you should not submit work for evaluation. For lab courses, you may join a lab only if there is space in that lab, but you can't displace a registered student. For 11 and 15, there are usually a few labs with small enrollments: See on SIS which ones those are. Come to class on the first day, and, if there is room and you understand the restrictions above, I'll sign an audit form. Also, you will need an EECS login to participate in class. Please see the EECS IT help desk folks to get an account. Their offices are in the very back of the second floor of Halligan, and their email is staff@eecs.tufts.edu Teaching 2018 Fall: Comp 11: Intro. to Computer Science Comp 50CP: Concurrent Programming 2018 Spring: Comp 11: Intro. to Computer Science Comp 40: Machine Structure and Assembly Language Programming 2017 Fall: Comp 15: Data Structures Comp 50CP: Concurrent Programming 2017 Spring: Comp 15: Data Structures Comp 40: Machine Structure and Assembly Language Programming 2016 Fall: Comp 15: Data Structures Comp 50CP: Concurrent Programming 2016 Spring: Comp 15: Data Structures Comp 40: Machine Structure and Assembly Language Programming 2015 Fall: Comp 15: Data Structures Comp 50CP: Concurrent Programming 2015 Spring: Comp 11: Intro. to Computer Science Comp 40: Machine Structure and Assembly Language Programming 2014 Fall: Comp 11: Intro. to Computer Science Comp 50CP: Concurrent Programming diff --git a/src/data/compiled_bios/4563.txt b/src/data/compiled_bios/4563.txt new file mode 100644 index 0000000000..b3fa375e96 --- /dev/null +++ b/src/data/compiled_bios/4563.txt @@ -0,0 +1 @@ + Jivko Sinapov The James Schmolze Assistant Professor in Computer Science Tufts University Home Research Publications Teaching Group CV I am an Assistant Professor at the Department of Computer Science at Tufts University . I joined the department in the Fall of 2017. My main research interests lie in Cognitive and Developmental Robotics, Human-Robot Interaction, Robot Learning, and Computational Perception. The question that interests me most is, ``What is intelligence and how can it be implemented in a physical robot?''. My current focus is on enabling robots to operate in and learn about human-inhabited environments for extended periods of time. In the Spring of 2017, I co-organized a 2017 AAAI Spring Symposium titled Interactive Multi-Sensory Perception for Embodied Agents . Prior to joining Tufts, I was a postdoctoral associate with the Learning Agents Research Group under the supervision of Dr. Peter Stone at the University of Texas at Austin. My work focused on the Building-Wide Intelligence Project which aims to bring robots out of the labs and into human-inhabited environments. While at UT Austin, I was also a Clinical Assistant Professor with the College of Natural Science's Freshman Research Initiative program which aims to enable first year undergraduate students to conduct scientific research. Assistant Professor Tufts University Department of Computer Science Email: jsinapov@cs.tufts.edu Office: Halligan 213 diff --git a/src/data/compiled_bios/4564.txt b/src/data/compiled_bios/4564.txt new file mode 100644 index 0000000000..fda445a58c --- /dev/null +++ b/src/data/compiled_bios/4564.txt @@ -0,0 +1 @@ + Donna Slonim Home CV Research BCB Group Publications Teaching Jobs Contact Information Academic year 2018-19: I'll be on sabbatical for the academic year, and away from the Tufts campus(es). Answers to some common questions: Comp 167 will be taught in the fall term by Prof. Lenore Cowen. Comp 7/Bio 40 will next be taught in the fall of 2019. Soha Hassoun is directing the Bioinformatics track of the Bioengineering MS program. Diane Souvaine is the new chair of the CS graduate committee. Dept. of Computer Science Halligan Hall 161 College Ave Tufts University Medford, MA 02155 E-mail Office : Halligan 107B Phone : 617-627-2225 Fax : 617-627-2227 Professor, Department of Computer Science Professor, Department of Immunology, Tufts University School of Medicine Faculty, Program in Genetics, Sackler School of Graduate Biomedical Sciences diff --git a/src/data/compiled_bios/4565.txt b/src/data/compiled_bios/4565.txt new file mode 100644 index 0000000000..fffcd192b4 --- /dev/null +++ b/src/data/compiled_bios/4565.txt @@ -0,0 +1 @@ + Diane L. Souvaine Professor of Computer Science Adjunct Professor of Mathematics Halligan Hall 239, Medford/Somerville Email: Diane (dot) Souvaine (at) tufts (dot) edu Phone: 617-627-2486 Curriculum Vitae Biography: Dr. Diane L. Souvaine is a Professor of Computer Science and Adjunct Professor of Mathematics at Tufts University. She served as Vice Provost for Research from 2012-2016 and then as Senior Advisor to the Provost at Tufts University from 2016-2017, drawing on institutional knowledge and experience to initiate, develop, and/or refine strategic projects that enhanced the mission and goals of Tufts. She previously served as Chair of the Department of Computer Science from 2002-2009. Prior to Tufts, Dr. Souvaine was a member of the Rutgers University faculty for 12 years. During her tenure at Rutgers, she served in the Directorate of NSFs Science and Technology Center for Discrete Mathematics and Theoretical Computer Science (DIMACS), a groundbreaking academic/industry collaboration of Princeton, Rutgers, Bell Labs and Bellcore. DIMACS is tasked with both the theoretical development of mathematics and computer science and their practical applications. Dr. Souvaine received her Ph.D. in computer science from Princeton University from which she also received her M.S.E. in electrical engineering and computer science and M.A. in computer science. She earned an M.A.L.S. in mathematical sciences from Dartmouth College and graduated with distinction from Harvard University, earning an A.B.c.l. in English and American language and literature, with a second concentration in mathematics. Her research contributions range from solving challenging problems in computational geometry to practical application across disciplines. In addition to her scientific and policy contributions, Dr. Souvaine is dedicated to increasing diversity and advancing women and underrepresented groups in mathematics, science, and engineering and works to enhance pre-college education in mathematics and computational thinking. In 2008, President Bush appointed Dr. Souvaine to the National Science Board, a 24-member body that governs the National Science Foundation and advises the United States government about science policy. In 2014, President Obama reappointed her to the Board. She was elected Vice Chair on May 6, 2016 and Chair on May 3, 2018. In 2011 and in 2016, respectively, she was elected Fellow of the Association for Computing Machinery (ACM) and of the American Association for the Advancement of Science (AAAS). Research interests: Computational geometry , design and analysis of algorithms , and computational complexity . Teaching: Tufts University courses taught: EN 47: Exploring Computer Science : S'00, S'01, X'01. COMP 11: Introduction to Computer Science : F'98, S'99. COMP 15: Introduction to Data Structures : F'00. COMP 150GT: Introduction to Graph Theory : F'11. COMP 160: Algorithms : F'98, F'99, F'01, F'02, F'03, F'04, F'07, F'08, F'09, F'10, F'12, S'18. COMP 163/MATH 163: Computational Geometry : S'99, S'00, S'01, S'02, S'03, S'04, S'05, F'06, S'08, S'11, F'18. COMP 263/MATH 263: Advanced Topics in Computational Geometry : F'99, F'00, F'03, S'07, S'09. Educational Outreach Programs: Tufts University Institute on Problem Solving using Discrete Mathematics for Gr. 5-9 Teachers . Selected publications: (click here for additional publications ) ``Minimum Weight Connectivity Augmentation for Planar Straight-Line Graphs,'' with Hugo A. Akitaya, R. Inkulu, Torrie L. Nichols, Csaba D. Tth and Charles R. Winston. In Proceedings of the 11th International Conference and Workshops on Algorithms and Computation (WALCOM 2017). PDF ``Diffuse reflection diameter in simple polygons,'' with Gill Barequet, Sarah M. Cannon, Eli Fox-Epstein, Benjamin Hescott, Csaba D. Tth, and Andrew Winslow. Discrete Applied Mathematics 210, 2016, 123-132. PDF ``The Flip Diameter of Rectangulations and Convex Subdivisions,'' with Eyal Ackerman, Michelle M. Allen, Gill Barequet, Maarten Lffler, Joshua Mermelstein, and Csaba D. Tth. Discrete Mathematics & Theoretical Computer Science (DMTCS) 18, 3, 2016, 4:1-17. PDF ``Isoperimetric Enclosures,'' with Greg Aloupis, Luis Barba, Jean-Lou De Careful, and Stefan Langerman. Graphs and Combinatorics, 31, 2015, 361-392. PDF . Proceedings of the Mexican Conference on Discrete Mathematics and Computational Geometry, 2013, 47-56. PDF . ``Bichromatic compatible matchings,'' with Greg Aloupis, Luis Barba, and Stefan Langerman. Computational Geometry, 48, 2015, 622-633. PDF ``Disjoint Compatible Geometric Matchings,'' with Mashhood Ishaque and Csaba D. Tth. Discrete and Computational Geometry, 49, 2013, pp. 89-131. PDF . In Proc. 27th Sympos. on Comput. Geom. (Paris, 2011), ACM Press, pp. 125-134. ``Diffuse Reflections in Simple Polygons,'' with Gill Barequet, Sarah M. Cannon, Eli Fox-Epstein, Benjamin Hescott, Csaba D. Tth, and Andrew Winslow. Proceedings of the VII Latin-American Algorithms, Graphs, and Optimization Symposium: Electronic Notes in Discrete Mathematics, 44, 2013, 345-350. PDF ``Algorithms for Designing Pop-up Cards,'' with Abel, Z., Demaine, E. D., Demaine, M. L., Eisenstat, S., Lubiw, A., Winslow, A. In Proceedings of 30th Symposium on Aspects of Computer Science, 2013. PDF ``Hidden Mobile Guards in Simple Polygons,'' with Cannon, S. and Winslow, A. In Proceedings of the 24th Canadian Conference on Computational Geometry, 2012. PDF ``Convexifying Monotone Polygons While Maintaining Internal Visibility,'' with Aichholzer, O., Aloupis, G., Demaine, E., Demaine, M., Dujmovic, V., Hurtado, F., Lubiw, A., Rote, G., Schulz, A., Winslow, A. Proceedings of the 23rd Canadian Conference on Computational Geometry, 2011. PDF ``Constrained Tri-Connected Planar Straight Line Graphs,'' with Ishaque, M., Tth, C., Winslow, A. In Proceedings of the 20th Fall Workshop on Computational Geometry, 2011. Full version in Thirty Essays on Geometric Graph Theory, Algorithms and Combinatorics, 2013. PDF ``Simultaneously Flippable Edges in Triangulations,'' with Csaba Tth and Andrew Winslow. Festschrift for Ferran Hurtado, Proceedings of XIV Spanish Conference on Computational Geometry , vol 7579 of LNCS, Springer, 2012. PDF ``Bounded-Degree Polyhedronization of Point Sets,'' with Gill Barequet, Nadia Benbernou, David Charlton, Erik D. Demaine, Martin L. Demaine, Mashhood Ishaque, Anna Lubiw, Andr Schulz, Diane L. Souvaine, Godfried T. Toussaint. Computational Geometry: Theory and Applications, 46, 2, 2013, pp. 148-153. PDF ``Convex Partitions with 2-Edge Connected Dual Graphs,'' with Marwan Al-Jubeh, Michael Hoffmann, Mashhood Ishaque, and Csaba D. Tth. Special issue of Journal of Combinatorial Optimization , 2010, to appear. Online version . ``Staged Self-Assembly: Nanomanufacture of Arbitrary Shapes with O(1) Glues ,'' with Erik D. Demaine, Martin L. Demaine, Sndor P. Fekete, Mashhood Ishaque, Eynat Rafalin, and Robert Schweller. Natural Computing , 7(3), 2008. Special issue of selected papers from the 13th International Meeting on DNA Computing, 2007, 347-370. Online version . "A Tight Bound for Connecting Sites Across Barriers," with David Krumme, Eynat Rafalin, and Csaba Toth. Discrete and Computational Geometry , Springer New York, 2008. Online version . Conference version appeared in Proceedings of the 22nd Annual ACM Symposium on Computational Geometry (SoCG) , Arizona, 2006, 439-448. Abstract "An Experimental Study of Old and New Depth Measures,'' with J. Hugg, E. Rafalin, and K. Seyboth. Workshop on Algorithm Engineering and Experiments (ALENEX06) , Springer-Verlag Lecture Notes in Computer Science, 2006, 51-64. Pdf version ``An Intuitive Approach to Measuring Protein Surface Curvature,'' with Ryan G. Coleman, Michael A. Burr, and Alan C. Cheng. Proteins: Structure, Function, and Bioinformatics , 61:4, 2005, pp. 1068-1074. Abstract ``Hinged Dissection of Polypolyhedra,'' with Erik Demaine, Martin Demaine, and Jeff Lindy. Lecture Notes in Computer Science: Proceedings of the Workshop on Algorithms and Data Structures 3608, Springer-Verlag, 2005, 205-217. Abstract PDF ``A Vertex-Face Assignment for Plane Graphs,'' with Csaba Toth. 17th Annual Canadian Conference on Computational Geometry , Windsor, Ontario, August, 2005. Invited submission for special issue of Computational Geometry: Theory and Applications. . PDF . ``Planar Minimally Rigid Graphs and Pseudo-Triangulations,'' with R. Haas, D. Orden, G. Rote, F. Santos, B. Servatius, H. Servatius, I. Streinu and W. Whiteley, Computational Geometry Theory and Applications , Volume 31, Issues 1-2, May 2005, Pages 31-61. Prepublication version. Preliminary version appeared in 19th ACM Symposium on Computational Geometry, 2003. PDF . ``Topologically Sweeping the Complete Graph in Optimal Time and Space,'' with Eynat Rafalin. TUFTS-CS Technical Report 2003-05 , Tufts University, December, 2003. Abstract appeared in Proceedings of the 14th Annual Fall Workshop on Computational Geometry , MIT, 2004, pages 1-2. ``Simplicial Depth: An Improved Definition, Analysis, and Efficiency for the Finite Sample Case,'' with Michael Burr and Eynat Rafalin. Proceedings of the 16th Canadian Conference on Computational Geometry , 2004. Full version to appear in Data Depth: Robust Multivariate Analysis, Computational Geometry, and Applications , ed. by Reginia Liu, AMS DIMACS Book Series, 2006. Preliminary version ``Computational Geometry and Statistical Depth Measures,'' with E. Rafalin, Theory and Applications of Recent Robust Methods, edited by M. Hubert, G. Pison, A. Struyf, and S. Van Aelst, Series: Statistics for Industry and Technology, , Birkhauser, Basel, 2004, 283-296. Postscript version Pdf version ``Efficient Computation of Location Depth Contours by Methods of Combinatorial Geometry,'' with K. Miller, S. Ramaswami, P. Rousseeuw, T. Sellares, I. Streinu, A. Struyf. Statistics and Computing, 2003, 153-162. Pdf . Postscript . ``Topological Sweep in Degenerate cases,'' with E. Rafalin, I. Streinu, Algorithms Engineering and Experiments (ALENEX 2002) . Springer-Verlag Lecture Notes in Computer Science 2409, 2002, 155-165. Postscript version , Pdf version ``Fast implementation of depth contours using topological sweep,'' with K. Miller, S. Ramaswami, P. Rousseeuw, T. Sellares, I. Streinu, A. Struyf. Proceedings of the Twelfth ACM-SIAM Symposium on Discrete Algorithms, Washington, DC, January, 2001, Postscript . ``Constructing Piecewise Linear Homeomorphisms of Polygons with Holes,'' with Rephael Wenger and Mark Babikov. Proceedings of the 9th Canadian Conference on Computational Geometry, 1997, Postscript . An earlier version appeared as DIMACS Technical Report 94-52 ``Illumination of the Plane with Floodlights,'' with P. Bose, L. Guibas, A. Lubiw, M. Overmars, and J. Urrutia. International Journal of Computational Geometry & Applications 7, 1997, 153--163. Prepublication version. ``An Efficient Algorithm for Placing Guards in Polygons with Holes,'' with I. Bjorling-Sachs. Discrete and Computational Geometry, 13, January 1995, 77-109. Prepublication version. ``Combinatorial Complexity of Signed Discs,'' with C.-K. Yap. Computational Geometry: Theory and Applications , 5, 1995, 207-223. Prepublication version. ``On Compatible Triangulations of Simple Polygons,'' with Boris Aronov and Raimund Seidel. Computational Geometry: Theory and Applications , 1993, 27-35. Prepublication version. ``Shortest Paths Help Solve Geometric Optimization Problems on Planar Regions,'' with E. A. Melissaratos. SIAM J. Computing , 1992, 601-638. Prepublication version. ``Computational geometry in a curved world,'' with D. P. Dobkin. Algorithmica 5, 3, 1990, 421-457. ``Computing Median-of-Squares Regression Lines and Guided Topological Sweep,'' with H. Edelsbrunner. Journal of the American Statistical Association 85, 1990, 115-119. ``Computational Geometry -- A User's Guide,'' with D. P. Dobkin. Chapter 2 of Advances in Robotics 1: Algorithmic and Geometric Aspects of Robotics , J. T. Schwartz and C. K. Yap, eds., Lawrence Erlbaum Associates, 1987, 43-93. Tufts University Information: Department of Computer Science School of Engineering Computer Science Degree Programs diff --git a/src/data/compiled_bios/4566.txt b/src/data/compiled_bios/4566.txt new file mode 100644 index 0000000000..700b00eaaf --- /dev/null +++ b/src/data/compiled_bios/4566.txt @@ -0,0 +1 @@ + Anselm Blumer Associate Professor Emeritus Anselm Blumer Associate Professor Emeritus Phone 617-627-3651 Email ablumer@cs.tufts.edu Halligan Hall, Room 211 161 College Avenue, Medford, MA Research: computational biology, artificial intelligence, machine learning Biography: Anselm Blumer is an associate professor emeritus in the Department of Computer Science at Tufts University. His primary research interest is in machine learning, particularly in applications to biology and medicine. He has also done work on data compression and algorithms for indexing and search. Education: Ph.D., University of Illinois at Urbana-Champaign, 1982 M.S., Statistics, University of Illinois at Urbana-Champaign, 1981 B.A., Mathematics, Brown University, 1976 Professional Experience: 1986-present: Department of Computer Science, Tufts School of Engineering 2018-present: Associate Professor Emeritus 1989-2018: Associate Professor 1986-1989: Assistant Professor 1982-1986: Assistant Professor, Departments of Mathematics and Computer Science, University of Denver 1986: Visiting Instructor, Computer and Information Sciences, University of California at Santa Cruz 1973-1976: Computer Operator, Systems Programmer, and Scientific Programmer, Woods Hole Oceanographic Institution diff --git a/src/data/compiled_bios/4567.txt b/src/data/compiled_bios/4567.txt new file mode 100644 index 0000000000..7d10ad8802 --- /dev/null +++ b/src/data/compiled_bios/4567.txt @@ -0,0 +1 @@ + Shuchin Aeron Adjunct Professor Adjunct Associate Professor, Computer Science Associate Professor, Electrical and Computer Engineering Shuchin Aeron Adjunct Professor Adjunct Associate Professor, Computer Science Associate Professor, Electrical and Computer Engineering Phone 617-627-4653 Email shuchin.aeron@tufts.edu Halligan Hall, Room 242 161 College Avenue, Medford, MA Research: statistical signal processing, inverse problems, compressed sensing, information theory, convex optimization, machine learning, algorithms for geophysical signal processing, compressed sensing architectures and evaluation, video and image data acquisition and processing, bioengineering metabolic networks Biography: Shuchin Aeron is an associate professor in the Department of Electrical and Computer Engineering at Tufts School of Engineering. He received his Ph.D. from Boston University in 2009. He was a postdoctoral research fellow at Schlumberger-Doll Research (SDR), where he worked on signal processing solution products for borehole acoustics. Aeron has several patents in acoustic signal processing and his proposed workflows are currently implemented in SDRs logging while drilling tools. In 2016, he received an NSF CAREER award. Aeron is currently a senior member of the Institute of Electrical and Electronics Engineers (IEEE). His research interests are in statistical signal processing, information theory, and optimal sampling and recovery for multidimensional signals and systems. Education: Ph.D., Boston University M.S., Boston University B.Tech., Indian Institute of Technology Professional Experience: 2011-present: Department of Electrical and Computer Engineering, Tufts School of Engineering 2017-present: Associate Professor 2011-2017: Assistant Professor 2014-present: Department of Computer Science, Tufts School of Engineering 2017-present: Adjunct Associate Professor 2014-2017: Adjunct Assistant Professor Research Interests: Shuchin Aeron's research interests include technical foci: statistical signal processing (SSP), inverse problems, compressed sensing, information theory, convex optimization, and machine learning. He also studies application areas: SSP algorithms for geophysical signal processing, compressed sensing architectures and evaluation, video and image data acquisition and processing, and bioengineering-metabolic networks. Selected Honors and Awards: 2016: CAREER Award, National Science Foundation 2015: Appointed Senior Member, IEEE 2006: Center for Information and Systems Engineering (CISE) Award, Boston University 2009: Best Thesis Award, Boston University Department of Electrical and Computer Engineering 2009: Best Thesis Award, Boston University College of Engineering Professional Memberships: Institute of Electrical and Electronics Engineers (IEEE) Teaching/Courses Taught: EE-23: Linear Systems EE-127: Information Theory EE-229: Detection and Estimation Theory diff --git a/src/data/compiled_bios/4568.txt b/src/data/compiled_bios/4568.txt new file mode 100644 index 0000000000..e358fcb4c4 --- /dev/null +++ b/src/data/compiled_bios/4568.txt @@ -0,0 +1 @@ + Marina Umaschi Bers, PhD Professor, Eliot-Pearson Dept. of Child Study & Human Development; Dept. of Computer Science; Director, DevTech Research Group, Tufts University Menu Skip to content Biography Research Courses Publications Press CV Contact Videos Biography Marina Umaschi Bers is professor and chair at the Eliot-Pearson Department of Child Study and Human Development and an adjunct professor in the Computer Science Department at Tufts University. She heads the interdisciplinary Developmental Technologies research group. Her research involves the design and study of innovative learning technologies to promote childrens positive development.She also developed and serves as director of the graduate certificate program on Early Childhood Technology at Tufts University. Prof. Umaschi Bers is from Argentina, where she did her undergraduate studies in Social Communication at Buenos Aires University . In 1994 she came to the US where she received a Masters degree in Educational Media and Technology from Boston University and a Master of Science and PhD from the MIT Media Laboratory working with Seymour Papert. Prof. Umaschi Bers received prestigious awards such as the 2005 Presidential Early Career Award for Scientists and Engineers (PECASE), the highest honor given by the U.S. government to outstanding investigators at the early stages of their careers, a National Science Foundation (NSF) s Young Investigators Career Award,for her work on virtual communities of learning and care, and the American Educational Research Association (AERA) Jan Hawkins Award for Early Career Contributions to Humanistic Research and Scholarship in Learning Technologies.She was also selected by the Boston Business Journal as one of the recipients of its 2015 Women to Watch in Science and Technology awards. Since the mid 90s, Prof. Umaschi Bers has conceived and designed diverse technological tools ranging from robotics to virtual worlds. Her currentresearch focuses on new technologies such as robotics and programming languages, can promote new ways of thinking and learningin early childhood alongside with socio-emotional development. For example, she co-developed the ScratchJr programming language in collaboration with Mitch Resnick from the MIT Media Lab and Paula Bonta, from the PICO company. ScratchJr is a free app funded by the National Science Foundation, the Code to Learn Foundation and a very successful Kickstarter campaign . Prof. Umaschi Bers also developed the KIBO robot kit for children 4 to 7 year old, that can be programmed with wooden blocks without using keyboards or screens old and co-founded a start-up, KinderLab Robotics, Inc that with funding from the National Science Foundation SBIR program, is commercializing KIBO and making available worldwide. Prof. Umaschi Bers is passionate about using the power of technology to promote positive development and learning for young children. Check out her 2014 TEDx talk Young programmers think playgrounds, not playpens. Bers philosophy and theoretical approach as well as the curriculum and assessment methods can be found in her books Coding as Playground: Programming and Computational Thinking in the Early Childhood Classroom (Routledge, 2018); The Official ScratchJr Book (2015; No Starch Press); Designing Digital Experiences for Positive Youth Development: From Playpen to Playground (2012, Oxford University Press); and Blocks to Robots: Learning with Technology in the Early Childhood Classroom (2008; Teachers College Press). Dr Bers loves teaching and in 2016 she received the Outstanding Faculty Contribution to Graduate Student Studies award at Tufts University which recognizes her mentorship.Prof. Umaschi Bers teaches seminars and professional development institutes on learning technologies for early childhood educators and does consulting for toy companies, media studios, schools and educational organizations that want to take advantage of the power of new technologies for young children. She has conducted studies and done work in after school programs, museums and hospitals, as well as schools and preschools. She has worked extensively in the US, Argentina, Colombia, Spain, Costa Rica, Singapore and Thailand. Marina Bers Follow Marina Bers Retweeted Ruth Varner @RuthVarner1 26 Jan Excited to be @UofNH today at the @UNHSTEMTeach 4th STEM Educators Summit Thanks @marinabers for inspiring us today! #nhstem19 3 5 Twitter Marina Bers Retweeted CAS London @cas_london_crc 20 Jan #caschat I would highly recommend @marinabers https://t.co/Wju3TMMr1k - founded in fabulous research - you don't need the hardware they design (kibo) to get some great pedagogy for early years and Ks1 programming ideas. 3 8 Twitter Marina Bers @marinabers 17 Jan https://t.co/u3VLj82U8T 5 5 Twitter Marina Bers Retweeted KinderLab Robotics @KinderLabRobot 9 Jan In the @EdSurge article "Make Your Classroom More Like a Playground Than a Playpen Using Hard Fun" @marinabers discusses a more playful environment where kids can become resilient, creative, problem-solvers, in a controlled, safe space like a playground. https://t.co/JPEWhYcmmv 2 5 Twitter Marina Bers Retweeted Champika Fernando @Champika_F 2 Jan Its happening... scratch 3.0 launch today! 79 314 Twitter Load More... News Coding as a Playground is now available! Coding as a Playground: Programming and Computational Thinking in the Early Childhood Classroom (2017) Contact Email Dr. Bers Download CV Follow on Twitter Projects KIBO Robotics ScratchJr Early Childhood Robotics Network TEDx Jackson: Young programmers - think playgrounds, not playpens Designing Digital Experiences for Positive Youth Development: From Playpen to Playground (2012) The Official ScratchJr Book (2015) Blocks to Robots: Learning with Technology in the Early Childhood Classroom (2008) Proudly powered by WordPress diff --git a/src/data/compiled_bios/4569.txt b/src/data/compiled_bios/4569.txt new file mode 100644 index 0000000000..6ecf656c45 --- /dev/null +++ b/src/data/compiled_bios/4569.txt @@ -0,0 +1 @@ + Bruce Boghosian Adjunct Professor Professor, Department of Mathematics Bruce Boghosian Adjunct Professor Professor, Department of Mathematics Phone 617-627-3054 Email bruce.boghosian@tufts.edu Bromfield-Pearson Hall, Room 211 503 Boston Ave, Medford, MA Research: theoretical and computational fluid dynamics, quantum computation Biography: Bruce Boghosian is a professor in the Department of Mathematics and an adjunct professor in the Department of Computer Science. He received a B.S. in Physicsand anM.S. in Nuclear Engineering from MIT, and a Ph.D. in Applied Science and Engineering from the University of California, Davis. His researchfocuses on theoretical and computational fluid dynamics, with emphasis on an improved understanding of fluid turbulence. Previously, he was a research associate professor at Boston University and a Senior Scientist at Thinking Machines Corporation in Cambridge, MA. Education: Ph.D., Applied Science and Engineering, University of California, Davis, 1987 M.S., Nuclear Engineering, Massachusetts Institute of Technology, 1978 B.S., Physics, Massachusetts Institute of Technology, 1978 Professional Experience: 2003present Adjunct Professor, Department of Computer Science, Tufts University 2000present Professor, Department of Mathematics, Tufts University 19942003 Research Associate Professor, Center for Computational Science and Department of Physics, Boston University 19861994 Senior Scientist, Mathematical Sciences Research Group,Thinking Machines Corporation Research Interests: Boghosian's research interests includes computational fluid dynamics, the dynamical systems approach to fluid dynamics, lattice models of fluid dynamics, topological fluid dynamics, and vortex dynamics in two and three dimensions. Selected Honors and Awards: 2003: HPC Challenge award for Most Innovative Data-Intensive Computation, Supercomputing 2003, sponsored by the Association for Computing Machinery 2002: Recipient of Undergraduate Initiative in Teaching (UNITE) award, College of Arts, Sciences and Engineering, Tufts University Selected Professional Activities: 20032005: Book Review Editor, Computing in Science and Engineering 2001present: Editorial Board member, Computing in Science and Engineering 2001present: Editorial Board member, Physica A 1997present: Editorial Board member, International Journal of Modern Physics C Physics and Computers Professional Memberships: American Physical Society diff --git a/src/data/compiled_bios/457.txt b/src/data/compiled_bios/457.txt new file mode 100644 index 0000000000..de43a8580f --- /dev/null +++ b/src/data/compiled_bios/457.txt @@ -0,0 +1 @@ +Assoc. Prof. Yeo Chai Kiat B.Eng (Hons.), M.Sc, Ph.D Deputy Director and Programme Director of Singtel Cognitive and Artificial Intelligence Lab for Enterprises@NTU (SCALE@NTU) School of Computer Science and Engineering, NTU Email: asckyeo{at}ntu.edu.sg Academic Profile Research Interest: Anomaly Detection, Data Analytics, Predictive Maintenance, Neural Networks, Machine Learning, Artificial Intelligence, Mobile and Ad Hoc Networks Attractive PhD and MEng Research Scholarships Available for Singapore Citizens and PR in AI, Machine Learning, Data Analytics. Immediate Vacancy for Post-Doctoral Fellowship in AI, Machine Learning, Data Analytics Interested candidates please email full CV to asckyeo{at}ntu.edu.sg diff --git a/src/data/compiled_bios/4570.txt b/src/data/compiled_bios/4570.txt new file mode 100644 index 0000000000..dcf12138be --- /dev/null +++ b/src/data/compiled_bios/4570.txt @@ -0,0 +1 @@ + Gregory Crane Adjunct Professor Professor, Department of Classics Winnick Family Chair of Technology and Entrepreneurship Gregory Crane Adjunct Professor Professor, Department of Classics Winnick Family Chair of Technology and Entrepreneurship Phone 617-627-2435 Email gregory.crane@tufts.edu Eaton Hall, Room 322 5 The Green, Medford, MA ResearcherID | Twitter Research: ancient Greek literature, computing and its impact on learning Biography: Gregory Crane is a professor in the Classics Department at Tufts University, and an adjunct professor in the Department of Computer Science. He has a long-standing interest in the relationship between the humanities and rapidly developing digital technology. Education: Ph.D., Classical Philology, Harvard University, 1985 B.A., Classics, Harvard University, 1979 Research Interests: Gregory Crane works in Greek and Latin literature and civilization, and computer applications in research and education. diff --git a/src/data/compiled_bios/4571.txt b/src/data/compiled_bios/4571.txt new file mode 100644 index 0000000000..15255ee8dd --- /dev/null +++ b/src/data/compiled_bios/4571.txt @@ -0,0 +1 @@ + Ethan Danahy Research Assistant Professor Research Assistant Professor, Center for Engineering Education and Outreach Ethan Danahy Research Assistant Professor Research Assistant Professor, Center for Engineering Education and Outreach Phone 617-627-5888 Email ethan.danahy@tufts.edu CEEO, Suite G810 200 Boston Avenue, Medford, MA Twitter | Google Plus Research: educational technology, collaboration, robotics, makerspaces, hands-on learning, project-based learning Biography: Ethan Danahy is a research assistant professor at the Center for Engineering Education and Outreach (CEEO), with a secondary appointment in the Department of Computer Science at Tufts School of Engineering. He received his Ph.D. in electrical engineering from Tufts University. Within the CEEO, Danahy oversees several research and development projects around educational technology and incorporating them into formal and informal educational environments. These include: InterLACE (Interactive Learning and Collaboration Environment), developing new digital tools and interfaces for supporting collaborative learning; Dr. E's Challenges, a set of online challenges; Touch Tables in Education, exploring the use of large-format multi-touch surfaces for educational applications; and makerspaces. Education: Ph.D., Electrical Engineering, Tufts University, 2007 M.S., Computer Science, Tufts University, 2002 B.S., Computer Science, Tufts University, 2000 Professional Experience: 2010-present: Research Assistant Professor, Department of Computer Science, Tufts School of Engineering 2007-present: Center for Engineering Education and Outreach, Tufts School of Engineering 2015-present: Research Assistant Professor 2010-2015: Engineering Research Program Director 2007-2009: Software Designer Research Interests: Ethan Danahy researches the design, implementation, and evaluation of different educational technologies. In ways that range from software and hardware to interfaces and environments, he explores how these tools can improve interactive educational pedagogies through supports aimed at learners in K-12 through university classrooms. With particular focus on engaging students in the STEAM content areas, Danahy focuses his investigations on enhancing creativity and innovation, supporting better documentation, and encouraging collaborative learning. diff --git a/src/data/compiled_bios/4572.txt b/src/data/compiled_bios/4572.txt new file mode 100644 index 0000000000..ff02e15870 --- /dev/null +++ b/src/data/compiled_bios/4572.txt @@ -0,0 +1 @@ + Tufts Computer Architecture Laboratory Welcome to TCAL Skip to content Home Current Research Projects Combative Cache Efficacy Techniques Emerging NVMs for the LLC Many-Accelerator Computing Power-Agile Computing and ThermalPlan PRSIM: Flexible Workload Characterization Security and the Thermal Side Channel Shared Accelerators SynchroTrace News Past Research Projects AfterBurner Before TCAL: Even Older Projects Sigil The Accelerator Store People Alumni Current Students Prof. Hempstead Publications Welcome Posted on April 17, 2013 by Mark D Hempstead The Tufts Computer Architecture Labis headed by Prof. Mark Hempstead within the department of Electrical and Computer Engineering. The research group investigates methods to increase energy efficiency across the boundaries of circuits, architecture, and systems. Our recent accomplishments include the PRSIM/Sigil workload characterization tools, the SynchroTrace multithreaded trace simulation framework, hardware and operating system support for power-agile computing. We have ongoing projects in specialized accelerator architecturescourse-grained reconfigurable architectures and security of manymany accelerator systems; power-agile and thermal aware computing systems; and characterization of caching and prefetching. See the project pages and recent publications for more information. Our lab was previously known as the Drexel Power-Aware Computing Lab and we moved to Tufts University in the fall of 2015. We still have members located at Drexel University co-advised by Prof. Baris Taskin in the VLSI Lab . Open Positions: We are looking for both Graduate Students and Post-Doc researchers interested in computer architecture and computer systems research. Please contact Prof. Hempstead for details. (Intel 4th Generation Haswell CPU die shot via www.extremetech.com) Posted in Uncategorized | Comments Off on Welcome Search for: Archives April 2013 Meta Log in Tufts Computer Architecture Laboratory Proudly powered by WordPress. diff --git a/src/data/compiled_bios/4573.txt b/src/data/compiled_bios/4573.txt new file mode 100644 index 0000000000..10537ba83c --- /dev/null +++ b/src/data/compiled_bios/4573.txt @@ -0,0 +1 @@ + Maintained by: Misha Kilmer Misha E. Kilmer William Walker Professor and Chair of Mathematics Adjunct Professor of Computer Science Tufts University Address: Department of Mathematics Tufts University 503 Boston Ave. Medford, MA 02155 Phone: (617) 627 - 2005 Office: 103 Bromfield-Pearson Fax: (617) 627-3966 E-mail: misha dot kilmer at tufts dot edu Google Scholar Page: link Office Hours By Appointment Bio: Misha Elena Kilmer is the William Walker Professor of Mathematics and Adjunct Professor of Computer Science at Tufts University. She currently serves as Chair of the Tufts Department of Mathematics. Prof. Kilmer obtained her Ph.D. in Applied Mathematics from the University of Maryland, College Park, in Dec. 1997. She served as Visiting Scientist in the ECE Dept. of Northeastern University from Jan. 1998 until departing for Tufts in the fall of 1999. Her research interest is in numerical (multi-)linear algebra. She specializes in the development of fast algorithms for solving large-scale, forward and inverse problems, as well as on theoretical and applied aspects of tensor computation. She is a 2001 recipient of the Tufts Undergraduate Initiative in Teaching Award and was promoted directly to Full Professor. She is a member of AWM and SIAM. She currently serves as Section Editor for SIAM Review Research Spotlights and as an associate editor for SIAM Journal on Scientific Computing. She is a former Associate Editor for SIAM Journal on Matrix Analysis and Applications and for SIAM Undergraduate Research Online. She is the author of numerous refereed articles and conference proceedings papers appearing in a wide range of computational math and engineering publications. Her work has been or is being funded by the NSF, NIH, IARPA, DARPA and IBM. She has served as referee for numerous highly rated scientific journals as proposal reviewer and cite team member for the National Science Foundation, as an international Ph.D. thesis examiner, on program committees for several international research conferences, and on award committees for international awards. A complete CV can be found here (updated Dec. 2017) and a 4 page CV can be found here (updated Oct. 2018). (Click here for a few details on work specifically related to bioimaging .) diff --git a/src/data/compiled_bios/4574.txt b/src/data/compiled_bios/4574.txt new file mode 100644 index 0000000000..a1b3a7b8e3 --- /dev/null +++ b/src/data/compiled_bios/4574.txt @@ -0,0 +1 @@ + Eric Miller Adjunct Professor Professor and Chair, Electrical and Computer Engineering Adjunct Professor, Biomedical Engineering Eric Miller Adjunct Professor Professor and Chair, Electrical and Computer Engineering Adjunct Professor, Biomedical Engineering Phone 617-627-0835 Email elmiller@ece.tufts.edu Halligan Hall, Room 216 161 College Avenue, Medford, MA Google Scholar | ResearcherID | ResearchGate | Scopus | Twitter Research: signal and image processing, inverse problems Biography: Professor Eric Miller received a B.S. in 1990, an M.S. in 1992, and a Ph.D. in 1994, all in electrical engineering and computer science at MIT. He is a professor in and the chair of the Department of Electrical and Computer Engineering at Tufts School of Engineering and holds adjunct appointments in the Departments of Computer Science and Biomedical Engineering. His research interests include physics-based tomographic image formation and object characterization, inverse problems in general and inverse scattering in particular, regularization, statistical signal and imaging processing, and computational physical modeling. Education: Ph.D., Electrical Engineering and Computer Science, MIT, 1994 M.S., Electrical Engineering and Computer Science, MIT, 1992 B.S, Electrical Engineering and Computer Science, MIT, 1990 Professional Experience: 2007-present: Department of Electrical and Computer Engineering, Tufts School of Engineering 2012-present: Chair 2007-present: Professor 2011-present: Adjunct Professor, Department of Biomedical Engineering, Tufts School of Engineering 2009-2012: Associate Dean for Research, Tufts School of Engineering 2008-present: Adjunct Professor, Department of Computer Science, Tufts School of Engineering 1994-2007: Northeastern University, Department of Electrical and Computer Engineering 2006: Professor 2000-2006: Associate Professor 1994-2000: Assistant Professor Research Interests: Professor Eric Miller's research interests include physics-based tomographic image formation and object characterization, inverse problems, regularization, statistical signal and imaging processing, and computational physical modeling. This work has been carried out in the context of applications including medical imaging, nondestructive evaluation, environmental monitoring and remediation, landmine and unexploded ordnance remediation, and automatic target detection and classification. Selected Honors and Awards: 2016: Senior Design Mentoring Award, Department of Electrical and Computer Engineering, Tufts University 2012: Co-PI, Project-of-the-Year Award for Environmental Restoration, SERDP 2012: Elected Fellow, IEEE 2005: Elected Member, Electromagnetics Academy, MIT 2002: Outstanding Research Award, Northeastern University College of Engineering 1996: CAREER Award, National Science Foundation 1992: Recipient, Graduate Fellowship, Air Force Office of Scientific Research Selected Professional Activities: 2016-present: Chair, SIAM Activity Group on Imaging Science 2014-present: Member, Technical Liaison Committee, IEEE Transactions on Computational Imaging 2003-2015: Associate Editor, IEEE Transactions on Geoscience and Remote Sensing 1999-2003: Associate Editor for Image Analysis, IEEE Transactions on Image Processing Professional Memberships: Institute of Electrical and Electronics Engineers (IEEE) Optical Society of America Society for Industrial and Applied Mathematics (SIAM) Teaching/Courses Taught: Probabilistic Systems Analysis Mathematical Methods in Image Processing Digital Image Processing Inverse Problems diff --git a/src/data/compiled_bios/4575.txt b/src/data/compiled_bios/4575.txt new file mode 100644 index 0000000000..22913ca738 --- /dev/null +++ b/src/data/compiled_bios/4575.txt @@ -0,0 +1 @@ +No results found. Home About Dr. Panetta Contact Research Research Topics Lab Members Patents Download Publications Journal Articles Book Chapters Books Conference Papers Magazine Articles Newspaper Articles Professional IEEE SPIE SWE Media News Events Video Teaching Blog Karen Panetta Professor of Electrical and Computer Engineering and Dean of Graduate Education for the School of Engineering, Tufts University | IEEE Fellow Home About Dr. Panetta Contact Research Research Topics Lab Members Patents Download Publications Journal Articles Book Chapters Books Conference Papers Magazine Articles Newspaper Articles Professional IEEE SPIE SWE Media News Events Video Teaching Blog About Karen Panetta Research Lab Latest Publications About Karen Panetta SCROLL DOWN About Karen Panetta About Karen Panetta Karen Panetta is a computer engineer, inventor and the Dean of Graduate Education for the School of Engineering at Tufts University.Karen develops signal and imaging processing algorithms, simulation tools and embedded systems for applications for robot vision,and biomedical imaging applications. She has won a number of awards for social impact, teaching and mentoring, ethics, and engineering education, including the Presidential Award for Excellence in Science, Math and Engineering Mentoring. She founded the "Nerd Girls" program, which encourages young women to pursue engineering and science.Karen is the editor-in-chief of IEEE WIE Magazine. Her passion is utilzing her engineering knowledge for the benefit of humanity. Learn More About Karen CV | Teaching | Deans Blog Research Lab SCROLL DOWN Research Lab Research and Humanitarian Applications Humanitarian Research Application Karen changing the world using technology During her travels around the world, Karen has had the opportunity to see firsthand the need for engineers to use their skills to benefit humanity, especially for global social challenges facing women and children. Karens commitment to " Doing The Right Thing means that she takes on projects that may be controversial and oftentimes, serve populations that have no financial means or voice in society. Karens work brings awareness to the plights of these populations and a provides humanitarians with technology to better serve those individuals we wish to help. Dr. Panetta at the Smithsonian Zoo What do Electrical Engineering Professor Dr. Karen Panetta and Elephants have in common? Why are Girls under the age of 4 in Tamil Nadu India more affected by Autism than boys? Why do 3 out of 4 babies born in Liberia die at birth? Why can Human Traffickers use Technology better than the Law-Enforcement Agencies and NGOs trying to stop trafficking? Learn more about Karens Humanitarian Research Research Applications Karen helps doctors find cancerous tumors, security screeners find concealed weapons, and law enforcement agencies find criminals and missing children. She does this by developing computer algorithms that are inspired by the human visual system, giving machines the ability to "see" the way people do. Imagine police officers have zeroed in on a suspect in a dark building and send in a robot to scan for threats. Rather than transmitting back images that are too dark and then waiting for them to be processed, the robot can use Karens algorithms to figure out the best way to enhance the images in real time, so the officers can quickly get the best visuals and see whats important to them. Her technology is helping to solve one of the biggest problems in computer vision -- how to enable computers to perceive and evaluate images like the human eye does -- and it has all sorts of interesting and important applications for homeland security, biomedicine, facial recognition, and search and rescue operations. Learn more about Karens research Meet Karens lab members For prospective students (PDF) Latest Publications SCROLL DOWN Latest Publications Recently Published Journal Articles Featured Novel multi-color transfer algorithms and quality measure A human visual "no-reference" image quality measure Human Visual Systems Inspired Underwater Image Quality Measures See all Journal articles Recently Published Conference Papers Featured Color Image Attribute and Quality Measurements Transform Domain Measure of Enhancement -TDME - For Security Imaging Applications Face Recognition Based on Logarithmic Local Binary Patterns See all conference papers Top Twitter Tweets from https://twitter.com/nerdgirls/lists/nerd-girls-list 2015 - 2019 Karen Panetta Designed and developed by ScienceSites : websites for scientists Powered by Squarespace diff --git a/src/data/compiled_bios/4576.txt b/src/data/compiled_bios/4576.txt new file mode 100644 index 0000000000..1d33bcf551 --- /dev/null +++ b/src/data/compiled_bios/4576.txt @@ -0,0 +1 @@ + Kunal Agrawal Associate Professor Lab Website Research KunalAgrawal is interested in many aspects of parallel computing and works primarily on design of provably good runtime systems for parallel programming environments. She has worked on various topics such as scheduling, resource allocation, transactional memory, cache-aware, and cache-oblivious streaming. Biography In 2009, Professor Agrawal joined the Washington University in St. Louis faculty aftershe worked with Professor Charles Leiserson in the Massachusetts Institute of TechnologySupercomputing Technologies Group. The goal of her 2012 National Science Foundation CAREER Award, "Provably Good Concurrency Platforms for Streaming Applications," is to design platforms that will allow programmers to easily write correct and efficient high-throughput parallel programs.: . . . 314-935-4838 kunal@wustl.edu JolleyHall, Room 514. . Google Scholar. Associate Professor. KunalAgrawal is interested in many aspects of parallel computing and works primarily on design of provably good runtime systems for parallel programming environments. She has worked on various topics such as scheduling, resource allocation, transactional memory, cache-aware, and cache-oblivious streaming.. In 2009, Professor Agrawal joined the Washington University in St. Louis faculty aftershe worked with Professor Charles Leiserson in the Massachusetts Institute of TechnologySupercomputing Technologies Group. . The goal of her 2012 National Science Foundation CAREER Award, "Provably Good Concurrency Platforms for Streaming Applications," is to design platforms that will allow programmers to easily write correct and efficient high-throughput parallel programs.. National Science Foundation CAREER award recipient. diff --git a/src/data/compiled_bios/4577.txt b/src/data/compiled_bios/4577.txt new file mode 100644 index 0000000000..64367eacae --- /dev/null +++ b/src/data/compiled_bios/4577.txt @@ -0,0 +1 @@ + Sanjoy Baruah Professor Lab Website Research Sanjoy Baruahs research is in scheduling theory; real-time and safety-critical system design; computer networks; resource allocation and sharing in distributed computing environments. Biography ProfessorBaruah joinedWashington University in St. Louis in September 2017.He was previously at the University of North Carolina at Chapel Hill (1999-2017) and the University of Vermont (1993-1999). His research interests and activities are in real-time and safety-critical system design, scheduling theory, resource allocation and sharing in distributed computing environments, and algorithm design and analysis. He is a Fellow of the IEEE, and the recipient of the 2014 Outstanding Technical Contributions and Leadership Award of the IEEE Technical Committee on Real-Time Systems.: . . . 314-935-7546 baruah@wustl.edu JolleyHall, Room 404. . PhD, The University of Texas at Austin, 1993 MS, The University of Texas at Austin, 1989 B. Tech,. The Indian Institute of Technology - Delhi, 1987. Google Scholar. Professor. Sanjoy Baruahs research is in scheduling theory; real-time and safety-critical system design; computer networks; resource allocation and sharing in distributed computing environments.. ProfessorBaruah joinedWashington University in St. Louis in September 2017.He was previously at the University of North Carolina at Chapel Hill (1999-2017) and the University of Vermont (1993-1999). His research interests and activities are in real-time and safety-critical system design, scheduling theory, resource allocation and sharing in distributed computing environments, and algorithm design and analysis. He is a Fellow of the IEEE, and the recipient of the 2014 Outstanding Technical Contributions and Leadership Award of the IEEE Technical Committee on Real-Time Systems.. Studiesreal-time &safety-critical system design. diff --git a/src/data/compiled_bios/4578.txt b/src/data/compiled_bios/4578.txt new file mode 100644 index 0000000000..65c466a836 --- /dev/null +++ b/src/data/compiled_bios/4578.txt @@ -0,0 +1 @@ + Aaron Bobick Dean & James M. McKelvey Professor Aaron Bobick joined Washington University in St. Louis as Dean of the School of Engineering & Applied Science and the James M. McKelvey Professor July 1, 2015. Prior to Washington University, he was a professor and founding chair of the School of Interactive Computing at the Georgia Institute of Technology, where he was a member of the faculty since 1999. Dean Bobick's research primarily focuses on action recognition by computer vision, a field in which he is a pioneer. Recently he hasextended his research to robot perception for human-robot collaboration. While at Georgia Tech, he served as director of the Graphics, Visualization and Usability Center, an internationally known research center in computer vision, graphics, ubiquitous computing and human-computer interaction, and helped develop a computational media bachelors degree program and doctoral programs in robotics and human centered computing. Dean Bobick is a graduate of the Massachusetts Institute of Technology (MIT), where he earned his bachelor's degrees in mathematics and computer science and his doctorate in cognitive science. Prior to joining the Georgia Tech faculty, he served as a member of the MIT Media Laboratory faculty, where he led the Media Lab Defense Advanced Research Projects Agency (DARPA) Video Surveillance and Monitoring Project, as well as its Dynamic Scene Analysis research effort. He also has served as a senior area chair for numerous international computer vision conferences and as program chair for the Institute of Electrical and Electronics Engineers (IEEE) Conference on Computer Vision and Pattern Recognition. He has founded a variety of successful startup companies, is a distinguished scientist of the Association for Computing Machinery and was elected a Fellow of the IEEE in 2014.: . . . 314-935-6350 afb@wustl.edu Brauer Hall, Room 1019 . . Google Scholar Dean's Blog Podcast. Dean & James M. McKelvey Professor. Aaron Bobick joined Washington University in St. Louis as Dean of the School of Engineering & Applied Science and the James M. McKelvey Professor July 1, 2015. Prior to Washington University, he was a professor and founding chair of the School of Interactive Computing at the Georgia Institute of Technology, where he was a member of the faculty since 1999.. Dean Bobick's research primarily focuses on action recognition by computer vision, a field in which he is a pioneer. Recently he hasextended his research to robot perception for human-robot collaboration. While at Georgia Tech, he served as director of the Graphics, Visualization and Usability Center, an internationally known research center in computer vision, graphics, ubiquitous computing and human-computer interaction, and helped develop a computational media bachelors degree program and doctoral programs in robotics and human centered computing. . Dean Bobick is a graduate of the Massachusetts Institute of Technology (MIT), where he earned his bachelor's degrees in mathematics and computer science and his doctorate in cognitive science. Prior to joining the Georgia Tech faculty, he served as a member of the MIT Media Laboratory faculty, where he led the Media Lab Defense Advanced Research Projects Agency (DARPA) Video Surveillance and Monitoring Project, as well as its Dynamic Scene Analysis research effort. . He also has served as a senior area chair for numerous international computer vision conferences and as program chair for the Institute of Electrical and Electronics Engineers (IEEE) Conference on Computer Vision and Pattern Recognition. He has founded a variety of successful startup companies, is a distinguished scientist of the Association for Computing Machinery and was elected a Fellow of the IEEE in 2014.. Studies how robots can more efficiently interact with objects. diff --git a/src/data/compiled_bios/4579.txt b/src/data/compiled_bios/4579.txt new file mode 100644 index 0000000000..2f9781f1b7 --- /dev/null +++ b/src/data/compiled_bios/4579.txt @@ -0,0 +1 @@ + Michael Brent Henry Edwin Sever Professor of Engineering Lab Website Expertise Computational genomics, computational systems biology, and applications of machine learning to biology Research The Brent Lab is developing and applying mathematical andcomputational methods for mapping gene regulation networks, modeling them quantitatively, and synthesizing new network designs in living cells. Michael Brent and his team are driven by the conviction that probabilistic and dynamical systems modeling need not be merely a theoretical or descriptive exercise predictive models can be applied now in ways that impact our daily choice of experiments to carry out and enable a deeper, systems level understanding of how gene regulation interacts with cellular physiology. Professor Brent believes that modeling is most useful when it guides experiments in a tight feedback loop. Models of transcriptional regulatory networks have their greatest impact when constructed for the purpose of explaining how specific physiological outcomes are regulated, and synthetic regulatory circuits are most interesting when they are interfaced to meaningful cellular physiology. The drive to apply mathematical and computational methods to complex, biologically meaningful problems has led his team to a number of projects in which molecular experiments are driven by predictive models. Biography After completing his PhD in Computer Science at MIT, Professor Brent served as Assistant and Associate Professor of Cognitive Science at the Johns Hopkins University, where his research focused on computational modeling of how children learn language. He brought these interests to Washington University in St. Louisin 1999, where he developed a second research program in computational biology and eventually phased out computational linguistics. From 2001 to 2008 he focused on computational and molecular methods for improving the accuracy of genome annotation. Since 2008,Professor Brent has focused on computational and molecular methods for mapping and modeling gene regulation networks. Professor Brent was elected Fellow of the American Association for the Advancement of Science (AAAS) in 2012.: . . . 314-286-0210 brent@wustl.edu Center for Genome Sciences & Systems Biology 4515 McKinley Ave., 4th floor, Room 4307. . Google Scholar. Henry Edwin Sever Professor of Engineering. . Computational genomics, computational systems biology, and applications of machine learning to biology. . The Brent Lab is developing and applying mathematical andcomputational methods for mapping gene regulation networks, modeling them quantitatively, and synthesizing new network designs in living cells. Michael Brent and his team are driven by the conviction that probabilistic and dynamical systems modeling need not be merely a theoretical or descriptive exercise predictive models can be applied now in ways that impact our daily choice of experiments to carry out and enable a deeper, systems level understanding of how gene regulation interacts with cellular physiology.. Professor Brent believes that modeling is most useful when it guides experiments in a tight feedback loop. Models of transcriptional regulatory networks have their greatest impact when constructed for the purpose of explaining how specific physiological outcomes are regulated, and synthetic regulatory circuits are most interesting when they are interfaced to meaningful cellular physiology. The drive to apply mathematical and computational methods to complex, biologically meaningful problems has led his team to a number of projects in which molecular experiments are driven by predictive models.. . Studies circuits that control gene expression. diff --git a/src/data/compiled_bios/458.txt b/src/data/compiled_bios/458.txt new file mode 100644 index 0000000000..0323650063 --- /dev/null +++ b/src/data/compiled_bios/458.txt @@ -0,0 +1 @@ +Jianmin Zheng Profile Teaching Research Publications Misc School of Computer Science and Engineering Nanyang Technological University Blk N4, Nanyang Avenue Singapore 639798 E-mail: ASJMZheng@ntu.edu.sg Office: N4-02c-82 Tel: (+65) 6790 6257 Fax: (+65) 6792 6559 You are visitor since October 3, 2009. diff --git a/src/data/compiled_bios/4580.txt b/src/data/compiled_bios/4580.txt new file mode 100644 index 0000000000..da7c982177 --- /dev/null +++ b/src/data/compiled_bios/4580.txt @@ -0,0 +1 @@ + Jeremy Buhler Professor Lab Website Research Advances in high-throughput DNA sequencing have led to a proliferation of sequence-based methods for genomics, metagenomics, transcriptomics and other large-scale molecular surveys at levels from individual cells, to organisms, all the way up to entire ecosystems. The challenge now is to efficiently aggregate, integrate, and search these data sets to make new discoveries and connections. JeremyBuhler's research focuses on developing algorithms and tools for large-scale computational analyses of biological sequences. He works to improve and generalize the heuristics at the heart of highly scalable computational tools for genomic, metagenomic, transcriptomic, and proteomic analysis, using ideas from probabilistic and randomized algorithms. These ideas have produced principled strategies to accelerate search in databases of sequences and probabilistic sequence models, as well as pattern discovery challenges such as motif finding. Building computational infrastructure for next-generation sequence analyses also presents challenges of hardware and software design. By constructing accelerators for these analyses on parallel computing devices such as field programmable gate arrays (FPGAs) and graphics processors (GPUs), ProfessorBuhler exposes and addresses challenges to using these devices effectively. Recent work includes throughput-optimized mappings of dynamic programming recurrences to systolic arrays, design of deadlock-free dataflow applications in the presence of data filtering, and efficient mapping of work ensembles to threads on GPUs for irregular applications such as short-read aligners. Biography In 2001, Professor Buhler joined the faculty at Washington University in St. Louis. He currently has secondary appointments in the Genetics Department of the Division of Biological and Biomedical Sciences (DBBS) and in the Biology Department in the College of Arts & Sciences.: . . . 314-935-6180 jbuhler@wustl.edu Jolley Hall, Room 506. . Google Scholar. Professor. In 2001, Professor Buhler joined the faculty at Washington University in St. Louis. He currently has secondary appointments in the Genetics Department of the Division of Biological and Biomedical Sciences (DBBS) and in the Biology Department in the College of Arts & Sciences.. Accelerates analyses of massive biological sequence databases. diff --git a/src/data/compiled_bios/4581.txt b/src/data/compiled_bios/4581.txt new file mode 100644 index 0000000000..c2b9927da6 --- /dev/null +++ b/src/data/compiled_bios/4581.txt @@ -0,0 +1 @@ + Ayan Chakrabarti Assistant Professor Lab Website Research Professor Chakrabarti's research interests are in the fields of computer vision, computational photography, and machine learning. He works on developing systems that can recover physical reconstructions and semantic descriptions of the world from visual measurements, for applications in robotics and autonomous vehicles, consumer photography, graphics and virtual reality, and more. His research focuses on ways to learn and exploit the statistical structure of natural images and scenes, to design efficient and accurate inference algorithms, as well as new kinds of high-capability sensors and cameras. Biography In September 2017, Professor Chakrabarti joins Washington University in St. Louis. He was a research assistant professor at the Toyota Technological Institute at Chicago, and a post-doctoral fellow at Harvard University. His research has been supported by a grant from the NSF, gifts from Adobe Research, and a hardware donation from NVIDIA.: . . . 314-935-4125 ayan@wustl.edu JolleyHall, Room 205. . PhD, Harvard University, 2011 SM, Harvard University, 2008 BTech & MTech, Indian Institute of Technology Madras, 2006. Google Scholar. Assistant Professor. Professor Chakrabarti's research interests are in the fields of computer vision, computational photography, and machine learning. He works on developing systems that can recover physical reconstructions and semantic descriptions of the world from visual measurements, for applications in robotics and autonomous vehicles, consumer photography, graphics and virtual reality, and more. His research focuses on ways to learn and exploit the statistical structure of natural images and scenes, to design efficient and accurate inference algorithms, as well as new kinds of high-capability sensors and cameras.. Develops algorithms &cameras that enable visual understanding by machines. diff --git a/src/data/compiled_bios/4582.txt b/src/data/compiled_bios/4582.txt new file mode 100644 index 0000000000..d63c9b2471 --- /dev/null +++ b/src/data/compiled_bios/4582.txt @@ -0,0 +1 @@ + Roger Chamberlain Professor Lab Website Expertise Architecturally diverse computing systems Research RogerChamberlain's research interests include specialized computer architectures for a variety of applications (e.g., astrophysics and biology), high-performance parallel and distributed application development, energy-efficient computation, and high-capacity I/O systems. Biography Professor Chamberlain has been a faculty member at Washington University in St. Louis since 1989. Heteaches in the areas of digital systems, parallel processing, computer architecture, embedded systemsand reconfigurable logic. Professor Chamberlain currently works with Exegy, Inc. and VelociData, Inc.,two St. Louis firms commercializing university technology for data analysis. He also engages in significant consulting activities with BECS Technology,a St. Louis firm manufacturing microprocessor-based controls for a number of interesting application areas. He helped form all three of the above companies.: . . . 314-935-5708 roger@wustl.edu JolleyHall, Room 210. . Google Scholar. Professor. Architecturally diverse computing systems. RogerChamberlain's research interests include specialized computer architectures for a variety of applications (e.g., astrophysics and biology), high-performance parallel and distributed application development, energy-efficient computation, and high-capacity I/O systems.. Works with VelociData, Inc., a St. Louis firm commercializing university technology for fast data analysis. diff --git a/src/data/compiled_bios/4583.txt b/src/data/compiled_bios/4583.txt new file mode 100644 index 0000000000..8dcdfb716f --- /dev/null +++ b/src/data/compiled_bios/4583.txt @@ -0,0 +1 @@ + Yixin Chen Professor Lab Website Research YixinChen's research interests are in the general areas of nonlinear optimization, artificial intelligence, data warehousing and data mining.He is particularly interested in large-scale constrained nonlinear optimization in discrete, continuous and mixed-integer spaces. Biography In September 2005, Professor Chen joined the faculty at Washington University in St. Louis. He has a number of awards including the Microsoft Research New Faculty Fellowship and the Department of Energy Early Career Principal Investigator Award. Professor Chen also serves his professional societies as a programming committee member, fund reviewer and National Science Foundation review panelist.: . . . 314-935-7528 ychen25@wustl.edu JolleyHall, Room 502. . Google Scholar. In September 2005, Professor Chen joined the faculty at Washington University in St. Louis. He has a number of awards including the Microsoft Research New Faculty Fellowship and the Department of Energy Early Career Principal Investigator Award. Professor Chen also serves his professional societies as a programming committee member, fund reviewer and National Science Foundation review panelist.. Develops algorithms to extract knowledge from massive amount of data. diff --git a/src/data/compiled_bios/4584.txt b/src/data/compiled_bios/4584.txt new file mode 100644 index 0000000000..f0ae82a2e6 --- /dev/null +++ b/src/data/compiled_bios/4584.txt @@ -0,0 +1 @@ + Steve Cole Lecturer Lab Website Steve Cole joined the Washington University in St. Louis teaching faculty as a Lecturer in 2017. His research interests include parallel computing and accelerating streaming applications on GPUs.: . . . 314-935-6732 svcole@wustl.edu Jolley Hall, Room 223. . Lecturer. Steve Cole joined the Washington University in St. Louis teaching faculty as a Lecturer in 2017. His research interests include parallel computing and accelerating streaming applications on GPUs.. diff --git a/src/data/compiled_bios/4585.txt b/src/data/compiled_bios/4585.txt new file mode 100644 index 0000000000..d11eb9b772 --- /dev/null +++ b/src/data/compiled_bios/4585.txt @@ -0,0 +1 @@ + Dennis Cosgrove Professor of the Practice : . . . diff --git a/src/data/compiled_bios/4586.txt b/src/data/compiled_bios/4586.txt new file mode 100644 index 0000000000..5e73f15bd5 --- /dev/null +++ b/src/data/compiled_bios/4586.txt @@ -0,0 +1 @@ + Patrick Crowley Professor Lab Website Research While PatrickCrowley's interests span several areas at the intersection of computer architecture and networking systems, his current research projects focus on the design and implementation of scalable networking systems and security. The Applied Research Laboratory also operates multiple public networking research testbeds, including theOpen Network Lab and the Global NDN Testbed. Biography Professor Crowley is director of the Applied Research Laboratory. His research career began at the University of Washington where he earned a PhD in Computer Science & Engineering for his work in the design and evaluation of processor and memory architectures for high-performance networking, a line of research that predated and subsequently influenced the development of commercial network processors. Professor Crowley is founder and Chief Technology Officer of Observable Networks , which has commercialized his endpoint modeling technology. He is co-editor of the three-book series, Network Processor Design and co-founded the ACM/IEEE Symposium on Architectures for Networking and Communications Systems (ANCS), a premier research conference in the area of high-speed networking systems. In 2007, Professor Crowley was chosen to join the DARPA Computer Science Study Group.: . . . 314-935-9186 pcrowley@wustl.edu JolleyHall, Room 215. . Google Scholar. . Computer & Network Systems Architect. . diff --git a/src/data/compiled_bios/4587.txt b/src/data/compiled_bios/4587.txt new file mode 100644 index 0000000000..6c53bad7bc --- /dev/null +++ b/src/data/compiled_bios/4587.txt @@ -0,0 +1 @@ + Ron Cytron Professor & Associate Department Chair Lab Website Expertise Real-Time Systems, Programming Languages Research RonCytron's research interests include automatic program optimization and transformation (especially of network software and middleware), voting strategies suitable for the Internet and storage-management systems suitable for object-oriented programs. Biography Professor Cytron was a Research Staff Member at IBM's Thomas J. Watson Research Center from 1984 to 1993 before he joined the faculty at Washington University in St. Louis.: . . . 314-935-7527 cytron@wustl.edu JolleyHall, Room 304B. . Professor & Associate Department Chair. Real-Time Systems, Programming Languages. RonCytron's research interests include automatic program optimization and transformation (especially of network software and middleware), voting strategies suitable for the Internet and storage-management systems suitable for object-oriented programs.. Professor Cytron was a Research Staff Member at IBM's Thomas J. Watson Research Center from 1984 to 1993 before he joined the faculty at Washington University in St. Louis.. Co-author of a textbook, Crafting a Compiler. diff --git a/src/data/compiled_bios/4588.txt b/src/data/compiled_bios/4588.txt new file mode 100644 index 0000000000..35a457e7ec --- /dev/null +++ b/src/data/compiled_bios/4588.txt @@ -0,0 +1 @@ + Sanmay Das Associate Professor Lab Website Research SanmayDas's research lies in designing effective algorithms for agents in complex, uncertain environments and in understanding the social or collective outcomes of individual behavior. He has broad interests across computational social science (market microstructure, matching markets, social networks) and machine learning (reinforcement learning, sequential decision-making, supervised learning, data mining). Biography After working as an Assistant Professor at Rensselaer Polytechnic Institute and an Associate Professor at Virginia Tech,ProfessorDas joined the faculty at Washington University in St. Louis. Professor Das is the recipient of an NSF CAREER Award and is currently vice-chair of the ACM Special Interest Group on Artificial Intelligence. He has served as program co-chair of AMMA, as workshop chair of ACM EC, and as sponsorship co-chair of AAMAS, in addition to serving on the program committees and senior program committees of many conferences in artificial intelligence and machine learning, including AAAI, IJCAI and ICML. : . . . 314-935-4274 sanmay@wustl.edu JolleyHall, Room 512. . Google Scholar. Associate Professor. After working as an Assistant Professor at Rensselaer Polytechnic Institute and an Associate Professor at Virginia Tech,ProfessorDas joined the faculty at Washington University in St. Louis. . National Science Foundation CAREER award recipient. diff --git a/src/data/compiled_bios/4589.txt b/src/data/compiled_bios/4589.txt new file mode 100644 index 0000000000..11ae44c0c9 --- /dev/null +++ b/src/data/compiled_bios/4589.txt @@ -0,0 +1 @@ + Roman Garnett Assistant Professor Lab Website Research Professor Garnett's main research interest is developing new Bayesian machine-learning techniques for sequential decision making under uncertainty.He is particularly interested in active learningespecially with atypical objectivesBayesian optimization, intelligent approaches to approximate Bayesian inference, and Bayesian quadrature.He is also interested in learning problems involving large-scale graph data. Biography Professor Garnett came to WashU inJanuary 2015. : . . . 314-935-4992 garnett@wustl.edu JolleyHall, Room 504. . Google Scholar. Assistant Professor. Professor Garnett's main research interest is developing new Bayesian machine-learning techniques for sequential decision making under uncertainty.He is particularly interested in active learningespecially with atypical objectivesBayesian optimization, intelligent approaches to approximate Bayesian inference, and Bayesian quadrature.He is also interested in learning problems involving large-scale graph data. . Professor Garnett came to WashU inJanuary 2015.. Researchesnew Bayesian machine-learning techniques. diff --git a/src/data/compiled_bios/459.txt b/src/data/compiled_bios/459.txt new file mode 100644 index 0000000000..a7e04bc34e --- /dev/null +++ b/src/data/compiled_bios/459.txt @@ -0,0 +1 @@ +Skip to content Rebecca Willett, University of Chicago Professor of Statistics and Computer Science open primary menu About Becca Publications Researchopen child menu Group Members Softwareopen child menu MOUSSE (Multi-scale Online Union of SubSets Estimation) Sequential Prediction and Network Analysis Level set estimation Fast Translation-Invariant Tree-Pruning Reconstruction (for Poisson or Gaussian noise) Coarse-to-fine image estimation Anomaly detection in social networks Platelets for photon-limited image reconstruction Teachingopen child menu Past courses Winter 2019: Computer Science 25300 / 35300, Mathematical Foundations of Machine Learning Graduate studies Serviceopen child menu Summary K-12 Outreach Research and Innovation at UW Video About Becca Rebecca Willett Professor of Statistics and\xc2\xa0Computer Science Courtesy Appointment at the Toyota Technological Institute at Chicago Email: willett@uchicago.edu Research Interests My research interests include signal processing, machine learning, and large-scale data science. In particular, I have studied methods to leverage low-dimensional models in a variety of contexts, including when data are high-dimensional, contain missing entries, are subject to constrained sensing or communication resources, correspond to point processes, or arise in ill-conditioned inverse problems. This work lies at the intersection of high-dimensional statistics, inverse problems in imaging and network science (including compressed sensing), learning theory, algebraic geometry, optical engineering, nonlinear approximation theory, statistical signal processing, and optimization theory. My group has made contributions both in the mathematical foundations of signal processing and machine learning and in their application to a variety of real-world problems. I have active collaborations with researchers in astronomy, materials science, microscopy, electronic health record analysis, cognitive neuroscience, precision agriculture, biochemistry, and atmospheric science. Upcoming or recent activities Congratulations to Dr. Eric Hall, winner of the 2018 IEEE SPS Young Author Best Paper Award for Online Convex Optimization in Dynamic Environments, IEEE Journal of Selected Topics in Signal Processing, Volume 9, Number 4, June 2015 Keynote speaker at Biological and Astronomical Signal Processing (BASP) Frontiers workshop, 2019 Technical Co-Chair for ICIP 2022 in Bordeaux, France Technical Co-Chair for IEEE Data Science Workshop, Minneapolis, June 2-5, 2019 Technical Co-Chair for SampTA 2019 Member of Organizing Committee for SIAM CSE19 Invited talk at Institut Henri Poincar\xc3\xa9 workshop on variational methods and optimization in imaging Co-PI on new Air Force Center of Excellence on Efficient and Robust Machine Learning Recipient of the 2018 Gerald Holdridge Teaching Excellence Award 5-minute general audience talk at Wisconsin Science Festival Interviewed on Wisconsin Public Radio Speaker at Wisconsin Science Festival\xc2\xa0 Co-PI of NSF Institute for Foundations of Data Science (TRIPODS) Invited speaker at\xc2\xa03rd International\xc2\xa0Matheon Conference on\xc2\xa0Compressed Sensing and its Applications Invited speaker at ACNTW Workshop on Optimization and Machine Learning Invited speaker at\xc2\xa0Big Data and Ecoinformatics in Agricultural Research;\xc2\xa0video here Invited speaker at SIAM Annual Meeting 2017 Invited speaker at learning theory workshop at FoCM, 2017 Invited speaker at\xc2\xa061st World Statistics Congress \xc2\xa0 ISI2017 Plenary speaker at SPARS 2017 Bio Rebecca Willett is a Professor of Statistics and Computer Science at the University of Chicago. She completed her PhD in Electrical and Computer Engineering at Rice University in 2005\xc2\xa0and was an Assistant then tenured Associate Professor of Electrical and Computer Engineering at Duke University from 2005 to 2013. She was an Associate Professor of Electrical and Computer Engineering, Harvey D. Spangler Faculty Scholar, and Fellow of the Wisconsin Institutes for Discovery at the University of Wisconsin-Madison from 2013 to 2018. \xc2\xa0Prof. Willett received the National Science Foundation CAREER Award in 2007, was a member of the DARPA Computer Science Study Group 2007-2011, and received an Air Force Office of Scientific Research Young Investigator Program award in 2010. Prof. Willett has also held visiting researcher positions at the Institute for Pure and Applied Mathematics at UCLA in 2004, the University of Wisconsin-Madison 2003-2005, the French National Institute for Research in Computer Science and Control (INRIA) in 2003, and the Applied Science Research and Development Laboratory at GE Medical Systems (now GE Healthcare) in 2002. Her research interests include network and imaging science with applications in medical imaging, wireless sensor networks, astronomy, and social networks. She is also an instructor for FEMMES (Females Excelling More in Math Engineering and Science; news article here) and a local exhibit leader for Sally Ride Festivals. She was a recipient of the National Science Foundation Graduate Research Fellowship, the Rice University Presidential Scholarship, the Society of Women Engineers Caterpillar Scholarship, and the Angier B. Duke Memorial Scholarship. Author WordPress Theme by Compete Themes #wp-admin-bar-abm-login{display:block!important}body .wp-video-shortcode video,body video.wp-video-shortcode{margin:0;padding:0;background:0 0;border:none;box-shadow:none;min-width:0;height:auto;min-height:0}.screen-reader-text:not(button){clip:rect(1px,1px,1px,1px);position:absolute!important;height:1px;width:1px;overflow:hidden} /* */ /* */ diff --git a/src/data/compiled_bios/4590.txt b/src/data/compiled_bios/4590.txt new file mode 100644 index 0000000000..fdfa8bd8df --- /dev/null +++ b/src/data/compiled_bios/4590.txt @@ -0,0 +1 @@ + Christopher Gill Professor Lab Website Expertise Real-time, embedded, and cyber-physical systems; middleware, operating systems, and virtualization Research Professor Gill's research focuses on assuring properties of distributed real-time and embedded systems in which software complexity, unpredictable environments, and heterogeneous platforms demand novel solutions that are grounded in sound theory. A major goal of his work is to assure that constraints on timing, memory footprint, fault-tolerance, and other system properties can be met when system software is re-used across heterogeneous applications, operating environments and deployment platforms. Biography Professor Gill has been with Washington University in St. Louis (WashU) since 1997, first as a research associate and since 2001 as a member of the faculty. He gained significant industry experience working for companies such as SBC Communications (now AT&T), Teknivent Corp., Saleskit Software and Prudential Group Health. As an undergraduate student at WashU, Professor Gill was a National Merit Scholar and graduated cum laude in English and Biology. A National Science Foundation CAREER award recipient, Professor Gill emphasizes a laboratory-based teaching approach, with personal attention to how students combine fundamentals of computer science with state-of-the-art software engineering techniques, to gain expertise and hands-on experience in designing and implementing high quality software.: . . . 314-935-7538 cdgill@wustl.edu JolleyHall, Room 518. . Google Scholar. Professor. Professor Gill has been with Washington University in St. Louis (WashU) since 1997, first as a research associate and since 2001 as a member of the faculty. He gained significant industry experience working for companies such as SBC Communications (now AT&T), Teknivent Corp., Saleskit Software and Prudential Group Health. As an undergraduate student at WashU, Professor Gill was a National Merit Scholar and graduated cum laude in English and Biology.. A National Science Foundation CAREER award recipient, Professor Gill emphasizes a laboratory-based teaching approach, with personal attention to how students combine fundamentals of computer science with state-of-the-art software engineering techniques, to gain expertise and hands-on experience in designing and implementing high quality software.. National Science Foundation CAREER award recipient. diff --git a/src/data/compiled_bios/4591.txt b/src/data/compiled_bios/4591.txt new file mode 100644 index 0000000000..2387658b46 --- /dev/null +++ b/src/data/compiled_bios/4591.txt @@ -0,0 +1 @@ + Roch Gurin Department Chair Harold B. &Adelaide G. Welge Professor of Computer Science Lab Website Expertise Computer networks, cloud computing, performance analysis, and network economics Research RochGurin is an international leader in the field of computer networking, both for his major research contributions and his dedication to serving the community. He is widely recognized for his contributions to understanding the fundamentals of data network design and how networks can be designed to provide desired quality of service guarantees. His work was among the earliest in this area and is credited with laying the foundation for later work. He also made early contributions in wireless and cellular networks.His current research interests are in networked systems including aspects of network economics. He has published research in a variety of journals and served on advisory boards of international telecommunications companies. He is an ACM and IEEE Fellow and since 2013 has been a member of the the ACM Publications Board . Biography Professor Gurin became chair of the Computer Science & Engineering department at Washington University in St. Louis in July 2013.He was previously the Alfred Fitler Moore Professor of Telecommunications Networks and professor of electrical and systems engineering and computer and information science at the University of Pennsylvania, where he had been on the faculty since 1998. Previously, he spent 12 years at the IBM T.J. Watson Research Center.: . . . 314-935-6165 guerin@wustl.edu JolleyHall, Room 304C. . Google Scholar. Department Chair. Harold B. &Adelaide G. Welge Professor of Computer Science. Computer networks, cloud computing, performance analysis, and network economics. Professor Gurin became chair of the Computer Science & Engineering department at Washington University in St. Louis in July 2013.He was previously the Alfred Fitler Moore Professor of Telecommunications Networks and professor of electrical and systems engineering and computer and information science at the University of Pennsylvania, where he had been on the faculty since 1998. Previously, he spent 12 years at the IBM T.J. Watson Research Center.. International leader in the field of computer networking. diff --git a/src/data/compiled_bios/4592.txt b/src/data/compiled_bios/4592.txt new file mode 100644 index 0000000000..d00f6337a3 --- /dev/null +++ b/src/data/compiled_bios/4592.txt @@ -0,0 +1 @@ + Chien-Ju Ho Assistant Professor Lab Website Research Professor Ho's research centers on the design and analysis of human-in-the-loop systems, with a focus on eliciting and aggregating human-generated data. His research spans and draws from the fields of machine learning, algorithmic economics, optimization, and online behavioral social science. He is interested in developing realistic human behavior models and studying how the models influence the design of machine learning algorithms and incentive mechanisms. Biography Professor Ho joined the Department of Computer Science & Engineering at Washington University in St. Louis in 2017. Previously, he was a postdoctoral associate at Cornell University. He obtained his PhD in Computer Science from the University of California, Los Angeles in 2015 and spent three years visiting the EconCS group at Harvard from 2012 to 2015. He is the recipient of the Google Outstanding Graduate Research Award at UCLA in 2015. His work was nominated for Best Paper Award at WWW 2015.: . . . 314-935-8073 chienju.ho@wustl.edu JolleyHall, Room510. . Google Scholar. Assistant Professor. Designs & analyzes human-in-the-loop systems. diff --git a/src/data/compiled_bios/4593.txt b/src/data/compiled_bios/4593.txt new file mode 100644 index 0000000000..0b5f182f6d --- /dev/null +++ b/src/data/compiled_bios/4593.txt @@ -0,0 +1 @@ + Raj Jain Barbara J. &Jerome R. Cox, Jr. Professor of Computer Science Lab Website Research Professor Jains research interests include Network Security, Blockchains, Medical Systems Security, Industrial Control Systems Security, Wireless Networks, Unmanned Aircraft Systems, Internet of Things, Telecommunications Networks, Traffic Management, Performance Analysis, and Modeling and Simulation. Biography Jain is a Life Fellow of IEEE, a Fellow of ACM, a Fellow of AAAS, a winner of 2017 ACM SIGCOMM Life-Time Achievement Award, 2015 A.A. Michelson Award, ACM SIGCOMM Test of Time award 2006, CDAC-ACCS Foundation Award 2009, IISc Distinguished Alumnus Award 2014, WiMAX Forum Individual Contribution Award 2008, and ranks among the Most Cited Authors in Computer Science. Previously, he was one of the Co-founders of Nayna Networks, Inc - a next generation telecommunications systems company in San Jose, CA. He was a Senior Consulting Engineer at Digital Equipment Corporation in Littleton, Mass and then a professor of Computer and Information Sciences at Ohio State University in Columbus, Ohio. He is the author or editor of 12 books including "Art of Computer Systems Performance Analysis,'' which won the 1991 "Best-Advanced How-to Book, Systems'' award from Computer Press Association and "High-Performance TCP/IP: Concepts, Issues, and solutions," published by Prentice Hall in November 2003. He is a co-editor of "Quality of Service Architectures for Wireless Networks: Performance Metrics and Management," published in April 2010. Jain has 14 patents, and has written 16 book chapters, 75+ journal and magazine papers and 120+ conference papers. Google Scholar lists over 27000+ citations to his publications. He is a co-inventor of the DECbit scheme, which has been implemented in various forms in DECnet, OSI, Frame Relay, and ATM Networks.: . . . 314-935-4963 jain@wustl.edu JolleyHall, Room 208. . . Google Scholar. Barbara J. &Jerome R. Cox, Jr. Professor of Computer Science. Professor Jains research interests include Network Security, Blockchains, Medical Systems Security, Industrial Control Systems Security, Wireless Networks, Unmanned Aircraft Systems, Internet of Things, Telecommunications Networks, Traffic Management, Performance Analysis, and Modeling and Simulation.. . Jain is a Life Fellow of IEEE, a Fellow of ACM, a Fellow of AAAS, a winner of 2017 ACM SIGCOMM Life-Time Achievement Award, 2015 A.A. Michelson Award, ACM SIGCOMM Test of Time award 2006, CDAC-ACCS Foundation Award 2009, IISc Distinguished Alumnus Award 2014, WiMAX Forum Individual Contribution Award 2008, and ranks among the Most Cited Authors in Computer Science. Previously, he was one of the Co-founders of Nayna Networks, Inc - a next generation telecommunications systems company in San Jose, CA. He was a Senior Consulting Engineer at Digital Equipment Corporation in Littleton, Mass and then a professor of Computer and Information Sciences at Ohio State University in Columbus, Ohio.. He is the author or editor of 12 books including "Art of Computer Systems Performance Analysis,'' which won the 1991 "Best-Advanced How-to Book, Systems'' award from Computer Press Association and "High-Performance TCP/IP: Concepts, Issues, and solutions," published by Prentice Hall in November 2003. He is a co-editor of "Quality of Service Architectures for Wireless Networks: Performance Metrics and Management," published in April 2010.. Jain has 14 patents, and has written 16 book chapters, 75+ journal and magazine papers and 120+ conference papers. Google Scholar lists over 27000+ citations to his publications. He is a co-inventor of the DECbit scheme, which has been implemented in various forms in DECnet, OSI, Frame Relay, and ATM Networks.. Google Scholar lists27000+ citations to his publications. diff --git a/src/data/compiled_bios/4594.txt b/src/data/compiled_bios/4594.txt new file mode 100644 index 0000000000..9cbbf6d7b9 --- /dev/null +++ b/src/data/compiled_bios/4594.txt @@ -0,0 +1 @@ + Tao Ju Vice Dean for Research & Professor Lab Website Biography In 2005, TaoJu joined the faculty at Washington University in St. Louis. He has served on the editorial boards of major journals in the area of computer graphics, including IEEE Transactions of Visualization and Computer Graphics , Computer Graphics Forum , Computer Aided Design , and Graphical Models . He also has served on program committees of top conferences including ACM Siggraph, Sigg raph Asia and Eurographics. Professor Ju's research is supported by NSF and NIH, and he received a NSF CAREER award in 2009. : . . . 314-935-6648 taoju@wustl.edu Jolley Hall, Room 406. . Google Scholar. Vice Dean for Research & Professor. In 2005, TaoJu joined the faculty at Washington University in St. Louis. He has served on the editorial boards of major journals in the area of computer graphics, including IEEE Transactions of Visualization and Computer Graphics , Computer Graphics Forum , Computer Aided Design , and Graphical Models . He also has served on program committees of top conferences including ACM Siggraph, Sigg raph Asia and Eurographics. Professor Ju's research is supported by NSF and NIH, and he received a NSF CAREER award in 2009. . National Science Foundation CAREER award recipient. diff --git a/src/data/compiled_bios/4595.txt b/src/data/compiled_bios/4595.txt new file mode 100644 index 0000000000..53227a865a --- /dev/null +++ b/src/data/compiled_bios/4595.txt @@ -0,0 +1 @@ + Brendan Juba Assistant Professor Lab Website Research Brendan Juba's work primarily concerns theoretical approaches to artificial intelligence, founded on the theory of algorithms and computational complexity. In particular, he has worked on algorithms for integrated learning and reasoning (e.g., in common sense reasoning) and on a theory of communication in the absence of standards (introductions available in three lengths, short,medium, andlong). His interests also lie in theoretical computer science more broadly construed. Biography P rofessor Juba graduated from MITin September 2010 and subsequently worked as a postdoc under the supervision of Leslie Valiant, PhD,at Harvard until joining Washington University in fall 2014. He had also remained affiliated with MITs Computer Science and Artificial Intelligence Laboratory (CSAIL) as a postdoc with the National Science Foundation's Center for Science of Information through Summer 2012.: . . . 314-935-8552 bjuba@wustl.edu Jolley Hall, Room 508. . Google Scholar. Assistant Professor. Brendan Juba's work primarily concerns theoretical approaches to artificial intelligence, founded on the theory of algorithms and computational complexity. In particular, he has worked on algorithms for integrated learning and reasoning (e.g., in common sense reasoning) and on a theory of communication in the absence of standards (introductions available in three lengths, short,medium, andlong). His interests also lie in theoretical computer science more broadly construed.. P rofessor Juba graduated from MITin September 2010 and subsequently worked as a postdoc under the supervision of Leslie Valiant, PhD,at Harvard until joining Washington University in fall 2014. He had also remained affiliated with MITs Computer Science and Artificial Intelligence Laboratory (CSAIL) as a postdoc with the National Science Foundation's Center for Science of Information through Summer 2012.. Works on algorithms for integrated learning & reasoning in artificial intelligence. diff --git a/src/data/compiled_bios/4596.txt b/src/data/compiled_bios/4596.txt new file mode 100644 index 0000000000..c88d003e9b --- /dev/null +++ b/src/data/compiled_bios/4596.txt @@ -0,0 +1 @@ + Ulugbek Kamilov Assistant Professor Lab Website Research Professor Kamilovs main research area is computational imaging. He develops advanced algorithms for various imaging applications including optical microscopy and magnetic resonance imaging (MRI), radar, and autonomous driving. He has a strong interest in image reconstruction, compressive imaging, convex and nonconvex optimization, machine learning, and statistical inference. Biography Professor Kamilov obtained his M.Sc. in Communication Systems and PhD in Electrical Engineering, in 2011 and 2015, respectively, from the cole polytechnique fdrale de Lausanne (EPFL), Switzerland. He was an exchange student at Carnegie Mellon University in 2007, a visiting student at Massachusetts Institute of Technology in 2010, and a visiting student researcher at Stanford University in 2013. Professor Kamilov joined Washington University in St. Louis from Mitsubishi Electric Research Laboratories, where was a research scientist in computational sensing. Prof. Kamilov is recipient of the IEEE Signal Processing Societys 2017 Best Paper Award (with V. K. Goyal and S. Rangan). His work on Learning Tomography (LT) was featured in Nature News and Views in 2015. His PhDthesis was selected as a finalist for the EPFL Doctorate Award in 2016.: . . . 314-935-2601 kamilov@wustl.edu JolleyHall, Room 532. . @ukmlv. Google Scholar. Assistant Professor. Professor Kamilovs main research area is computational imaging. He develops advanced algorithms for various imaging applications including optical microscopy and magnetic resonance imaging (MRI), radar, and autonomous driving. He has a strong interest in image reconstruction, compressive imaging, convex and nonconvex optimization, machine learning, and statistical inference.. . Professor Kamilov obtained his M.Sc. in Communication Systems and PhD in Electrical Engineering, in 2011 and 2015, respectively, from the cole polytechnique fdrale de Lausanne (EPFL), Switzerland. He was an exchange student at Carnegie Mellon University in 2007, a visiting student at Massachusetts Institute of Technology in 2010, and a visiting student researcher at Stanford University in 2013. Professor Kamilov joined Washington University in St. Louis from Mitsubishi Electric Research Laboratories, where was a research scientist in computational sensing.. Prof. Kamilov is recipient of the IEEE Signal Processing Societys 2017 Best Paper Award (with V. K. Goyal and S. Rangan). His work on Learning Tomography (LT) was featured in Nature News and Views in 2015. His PhDthesis was selected as a finalist for the EPFL Doctorate Award in 2016.. Studiesadvanced algorithms andmathematical tools for biomedical andindustrial imaging. diff --git a/src/data/compiled_bios/4597.txt b/src/data/compiled_bios/4597.txt new file mode 100644 index 0000000000..023e01bee7 --- /dev/null +++ b/src/data/compiled_bios/4597.txt @@ -0,0 +1 @@ + Caitlin Kelleher Hugo F. & Ina Champ Urbauer Career Development Associate Professor Lab Website Expertise User-centered design and evaluation Research Caitlin Kelleher is a researcher in Human-Computer Interaction and focuses on designing new kinds of programming environments and languages that democratize programming. Recently, her research group has focused on supporting children learning to program independently. This research has resulted in new kinds of support for tutorials, code execution history exploration tools, and robust support for reusing code from unfamiliar programs. Additionally, her group has explored how to support learning from code puzzles and the kinds of learning decisions young novices make in open ended contexts. The results of this research are shared through the Looking Glass programming environment, available at lookingglass.wustl.edu . Biography Professor Kelleher joined the faculty at Washington University in St. Louis in 2007. She is the recipient of an NSF Career award and was named a 2013 Sloan Foundation Fellow. Her work has won several best paper awards at top conferences.: . . . 314-935-6119 ckelleher@wustl.edu JolleyHall, Room 411. . Google Scholar. Hugo F. & Ina Champ Urbauer Career Development Associate Professor. User-centered design and evaluation. Caitlin Kelleher is a researcher in Human-Computer Interaction and focuses on designing new kinds of programming environments and languages that democratize programming. Recently, her research group has focused on supporting children learning to program independently. This research has resulted in new kinds of support for tutorials, code execution history exploration tools, and robust support for reusing code from unfamiliar programs. Additionally, her group has explored how to support learning from code puzzles and the kinds of learning decisions young novices make in open ended contexts. The results of this research are shared through the Looking Glass programming environment, available at lookingglass.wustl.edu .. Professor Kelleher joined the faculty at Washington University in St. Louis in 2007. She is the recipient of an NSF Career award and was named a 2013 Sloan Foundation Fellow. Her work has won several best paper awards at top conferences.. Developed "Storytelling Alice," a programming system for middle school girls. diff --git a/src/data/compiled_bios/4598.txt b/src/data/compiled_bios/4598.txt new file mode 100644 index 0000000000..551a84f761 --- /dev/null +++ b/src/data/compiled_bios/4598.txt @@ -0,0 +1 @@ + Brian Kocoloski Assistant Professor Lab Website Research Professor Kocoloskis research seeks to make it easier to efficiently use large parallel computers. His work has focused on system software for high performance computing (HPC) systems, where he has designed lightweight operating systems and virtualization mechanisms to support parallel applications. He is interested in addressing scalability challenges in parallel systems. Biography ProfessorKocoloski joinedWashUfrom the University of Pittsburgh, where hewasa graduate student researcher. Previously, he was a co-op engineer for Advanced Micro Devices (AMD) and a research intern at Sandia National Laboratories. He also was application developer at JPMorgan Chase & Co. and a quality assurance analyst at NCR Corp.: . . . . PhD, University of Pittsburgh, 2017 BS , University of Dayton , 2011. Google Scholar. Assistant Professor. Professor Kocoloskis research seeks to make it easier to efficiently use large parallel computers. His work has focused on system software for high performance computing (HPC) systems, where he has designed lightweight operating systems and virtualization mechanisms to support parallel applications. He is interested in addressing scalability challenges in parallel systems.. Studies operating system organization for large scale parallel computers. diff --git a/src/data/compiled_bios/4599.txt b/src/data/compiled_bios/4599.txt new file mode 100644 index 0000000000..1b781d832d --- /dev/null +++ b/src/data/compiled_bios/4599.txt @@ -0,0 +1 @@ + I-Ting Angelina Lee Assistant Professor Lab Website Research I-Ting Angelina Lee's research focuses on advancing software technologies for parallel computing. She is interested in many aspects of parallel computing, including designing programming models and linguistic constructs to simplify parallel programming, developing runtime and operating system support to execute multithreaded programs efficiently, and building software tools to aid debugging and performance engineering of multithreaded code. Biography ProfessorLee's joined the Department of Computer Science& Engineering at Washington University in St. Louis in fall 2014. Prior to that, Professor Lee worked with the Supertech research groupat Massachusetts Institute of Technology, led by Professor Charles Leiserson for her graduate study and subsequently as a postdoctoral associate. She received the Best Paper Award at the 2012 Symposium on Parallelism in Algorithms and Architectures (SPAA).: . . . 314-935-4621 angelee@wustl.edu Jolley Hall, Room 516. . Google Scholar. Assistant Professor. I-Ting Angelina Lee's research focuses on advancing software technologies for parallel computing. She is interested in many aspects of parallel computing, including designing programming models and linguistic constructs to simplify parallel programming, developing runtime and operating system support to execute multithreaded programs efficiently, and building software tools to aid debugging and performance engineering of multithreaded code.. ProfessorLee's joined the Department of Computer Science& Engineering at Washington University in St. Louis in fall 2014. Prior to that, Professor Lee worked with the Supertech research groupat Massachusetts Institute of Technology, led by Professor Charles Leiserson for her graduate study and subsequently as a postdoctoral associate. She received the Best Paper Award at the 2012 Symposium on Parallelism in Algorithms and Architectures (SPAA).. Works to advance software technologies for parallel computing. diff --git a/src/data/compiled_bios/46.txt b/src/data/compiled_bios/46.txt new file mode 100644 index 0000000000..19095403db --- /dev/null +++ b/src/data/compiled_bios/46.txt @@ -0,0 +1 @@ + Dakshita Khurana I am joining CS@Illinois as Assistant Professor starting Fall 2019. I'm looking for motivated students! Please apply and email me if you are interested in working with me. I am a Postdoctoral Researcher at Microsoft Research New England . I work in Cryptography and related topics in Privacy, Security and Theoretical Computer Science. I recently graduated from UCLA, under the fantastic supervision of Prof. Amit Sahai and Prof. Rafail Ostrovsky . I received the 2017-18 Dissertation Year Fellowship, the 2017-18 UCLA CS Outstanding Graduating Ph. D. Student Award, 2017-18 Symantec Outstanding Graduate Student Research Award, and the 2016-17 Cisco Outstanding Graduate Student Research Award. I spent the the summers of 2016 and 2017 as a research intern with Yael Tauman Kalai at Microsoft Research New England , and the summer of 2014 as a research intern with Vipul Goyal at Microsoft Research India . Prior to this, I obtained a Bachelor's in Technology from the Indian Institute of Technology, Delhi in 2012. I received a Master's Degree in Computer Science from UCLA in 2014. You can find my CV here . Program Committees: Eurocrypt 2019. Email: dakshita@cs.ucla.edu Publications (Authors Alphabetical): 23. Non-interactive non-malleability from Quantum Supremacy Manuscript, ePrint 2018 Yael Tauman Kalai and Dakshita Khurana 22. Weak Zero-Knowledge Beyond the Black-Box Barrier Manuscript, ePrint 2018 Nir Bitansky, Dakshita Khurana and Omer Paneth 21. Round Optimal Black-Box ``Commit-and-Prove'' In Theory of Cryptography Conference, TCC 2018 Dakshita Khurana, Rafail Ostrovsky and Akshayaram Srinivasan 20. Upgrading to Functional Encryption In Theory of Cryptography Conference, TCC 2018 Saikrishna Badrinarayanan, Dakshita Khurana, Amit Sahai and Brent Waters 19. Promise Zero Knowledge and its Applications to Round Optimal MPC In Advances in Cryptology, CRYPTO 2018 Saikrishna Badrinarayanan, Vipul Goyal, Abhishek Jain, Yael Tauman Kalai, Dakshita Khurana and Amit Sahai 18. Non-interactive Delegation for Low Space Non-Deterministic Computation In Symposium on the Theory of Computing, STOC 2018 Saikrishna Badrinarayanan, Yael Tauman Kalai, Dakshita Khurana, Amit Sahai and Daniel Wichs 17. Statistical WI (and More) in Two Messages In Advances in Cryptology, EUROCRYPT 2018 Yael Tauman Kalai, Dakshita Khurana and Amit Sahai 2017 16. How to Achieve Non-Malleability in One or Two Rounds In Foundations of Computer Science, FOCS 2017, Invited to SIAM Journal of Computing (SICOMP) Special Issue for selected papers from FOCS Dakshita Khurana and Amit Sahai 15. Distinguisher-Dependent Simulation in Two Rounds and its Applications In Advances in Cryptology, CRYPTO 2017 Abhishek Jain, Yael Kalai, Dakshita Khurana and Ron Rothblum 14. New Feasibility Results in Unconditional UC-Secure Computation with (Malicious) PUFs In Advances in Cryptology, EUROCRYPT 2017 Saikrishna Badrinarayanan, Dakshita Khurana and Rafail Ostrovsky and Ivan Visconti 13. Round Optimal Concurrent Non-Malleability from Polynomial Hardness In Theory of Cryptography Conference, TCC 2017 Dakshita Khurana 12. Round Optimal Concurrent MPC via Strong Simulation In Theory of Cryptography Conference, TCC 2017 Saikrishna Badrinarayanan, Vipul Goyal, Abhishek Jain, Dakshita Khurana and Amit Sahai 2016 11. Breaking the Three Round Barrier for Non-Malleable Commitments In Foundations of Computer Science, FOCS 2016 Vipul Goyal, Dakshita Khurana and Amit Sahai 10. All Complete Functionalities are Reversible In Advances in Cryptology, EUROCRYPT 2016 Dakshita Khurana, Daniel Kraschewski, Hemanta K Maji, Manoj Prabhakaran and Amit Sahai 9. Secure Computation from Elastic Noisy Channels In Advances in Cryptology, EUROCRYPT 2016 Dakshita Khurana, Hemanta K Maji and Amit Sahai 8. How to Generate and Use Universal Samplers In Advances in Cryptology, ASIACRYPT 2016 Dennis Hofheinz, Tibor Jager, Dakshita Khurana, Amit Sahai, Brent Waters and Mark Zhandry 7. Do Distributed Differentially-Private Protocols Require Oblivious Transfer? In International Colloquium on Automata, Languages and Programming, ICALP 2016 (Track A) Vipul Goyal, Dakshita Khurana, Ilya Mironov, Omkant Pandey and Amit Sahai 2015 6. Multi-Party Key Exchange for Unbounded Parties from Indistinguishability Obfuscation In Advances in Cryptology, ASIACRYPT 2015 Dakshita Khurana, Vanishree Rao and Amit Sahai 5. Statistical Randomized Encodings: A Complexity Theoretic View In International Colloquium on Automata, Languages and Programming, ICALP 2015 (Track A) Shweta Agrawal, Yuval Ishai, Dakshita Khurana and Anat Paskin-Cherniavsky 4. Non-Malleable Multi-Prover Interactive Proofs and Witness Signatures Cryptology ePrint Archive 2015 Vipul Goyal, Aayush Jain and Dakshita Khurana 2014 3. Black-Box Separations for Differentially Private Protocols In Advances in Cryptology, ASIACRYPT 2014 Dakshita Khurana, Hemanta K Maji and Amit Sahai Undergraduate Research 2. A Grammar-Based GUI for Single View Reconstruction ICVGIP 2012 Dakshita Khurana, Surabhi Sankhla, Abhinav Shukla, Richa Varshney, Prem Kalra, Subhashis Banerjee 1. Ensuring Tight Computational Security Against Higher-Order DPA Attacks PST 2011 Dakshita Khurana and Aditya Gaurav Research Overview: Within cryptography, my work designs secure protocols resisting active attacks while requiring minimal interaction. Some of my work [ KS17 , GKS16 ] has constructed protocols achieving security against man-in-the-middle attacks with minimal back-and-forth interaction, disproving and overcoming perceived impossibilities in the area. My work has also constructed non-interactive proof systems for NP achieving some desirable properties. Specifically, in [ JKKR17 ], we rely on well-studied assumptions to construct such proof systems achieving variants of zero-knowledge. These recently helped build other secure protocols with optimal interaction [ K17 , BGJKKS17 ]. In very recent work [ BKKSW17 ], we build succinct non-interactive proof systems for verifiably outsourcing non-deterministic computation with verification time growing only with the non-deterministic space complexity of computation, based for the first time on standard cryptographic assumptions. I have also worked on unconditionally secure computation using untrusted or leaky hardware, on differential privacy, and on program obfuscation. diff --git a/src/data/compiled_bios/460.txt b/src/data/compiled_bios/460.txt new file mode 100644 index 0000000000..2e21341bf5 --- /dev/null +++ b/src/data/compiled_bios/460.txt @@ -0,0 +1 @@ +LSSG A. Chien People Research CERES Ctr CS Dept UChicago Professor Andrew A. Chien @ The University of Chicago William Eckhardt Distinguished Service Professor, Computer Science Director,\xc2\xa0 CERES Center for Unstoppable Computing\xc2\xa0 @\xc2\xa0 Argonne National Laboratory Senior Computer Scientist,\xc2\xa0 Math & Computer Science @\xc2\xa0 Association for Computing (ACM) Editor-in-Chief, Communications of the ACM diff --git a/src/data/compiled_bios/4600.txt b/src/data/compiled_bios/4600.txt new file mode 100644 index 0000000000..802e9df4ec --- /dev/null +++ b/src/data/compiled_bios/4600.txt @@ -0,0 +1 @@ + Chenyang Lu Fullgraf Professor Lab Website Research Chenyang Lu's research interests include real-time embedded systems, wireless sensor networks, Internet of Thingsand cyber-physical systems. Biography Professor Lu is the Fullgraf Professor in the Department of Computer Science & Engineering at Washington University in St. Louis. He is Editor-in-Chief of ACM Transactions on Sensor Networks , Area Editor of IEEE Internet of Things Journal and Associate Editor of the new ACM Transactions on Cyber-Physical Systems and Real-Time Systems . Healso chaired premier conferences such as IEEE Real-Time Systems Symposium (RTSS), ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS) and ACM Conference on Embedded Networked Sensor Systems (SenSys). He is the author and co-author of over 150 research papers with over 13,000 citations and an h-index of 52 .: . . . 314-935-4855 lu@wustl.edu JolleyHall, Room 213. . Google Scholar. Fullgraf Professor . Chenyang Lu's research interests include real-time embedded systems, wireless sensor networks, Internet of Thingsand cyber-physical systems.. Professor Lu is the Fullgraf Professor in the Department of Computer Science & Engineering at Washington University in St. Louis. He is Editor-in-Chief of ACM Transactions on Sensor Networks , Area Editor of IEEE Internet of Things Journal and Associate Editor of the new ACM Transactions on Cyber-Physical Systems and Real-Time Systems . Healso chaired premier conferences such as IEEE Real-Time Systems Symposium (RTSS), ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS) and ACM Conference on Embedded Networked Sensor Systems (SenSys). He is the author and co-author of over 150 research papers with over 13,000 citations and an h-index of 52 .. National Science Foundation CAREER award recipient. PODCAST>> Smart Bridges: Adding sensor networks to infrastructure will make them cyberphysical systems . diff --git a/src/data/compiled_bios/4601.txt b/src/data/compiled_bios/4601.txt new file mode 100644 index 0000000000..56537c00f6 --- /dev/null +++ b/src/data/compiled_bios/4601.txt @@ -0,0 +1 @@ + Marion Neumann Senior Lecturer Lab Website Expertise Machine learning for graphs Biography Marion Neumann joined the faculty at Washington University in St. Louis in July 2015 as a lecturer for machine learning and cloud computing. Before that, she was a PhD student in the Knowledge Discovery and Machine Learning research group at the University of Bonn (20102015). During her doctorate studies, she collaborated in research and teaching projects with the Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS and the Bonn-Aachen International Center for Information Technology (b-it). She serves as the advisor for WiCS (Women in Computer Science).: . . . (314) 935-2861 m.neumann@wustl.edu Jolley Hall, Room 222. . PhD, University of Bonn, Germany, 2015 MS, BS, University of Ulm, Germany, 2009. Senior Lecturer. Machine learning for graphs. Marion Neumann joined the faculty at Washington University in St. Louis in July 2015 as a lecturer for machine learning and cloud computing. Before that, she was a PhD student in the Knowledge Discovery and Machine Learning research group at the University of Bonn (20102015). During her doctorate studies, she collaborated in research and teaching projects with the Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS and the Bonn-Aachen International Center for Information Technology (b-it).. She serves as the advisor for WiCS (Women in Computer Science).. diff --git a/src/data/compiled_bios/4602.txt b/src/data/compiled_bios/4602.txt new file mode 100644 index 0000000000..5cc8238d48 --- /dev/null +++ b/src/data/compiled_bios/4602.txt @@ -0,0 +1 @@ + Alvitta Ottley Assistant Professor Lab Website Research Alvitta Ottley'scurrent research interests include information visualization, human-computer interaction and visual analytics. Previously funded by NSF and U.S. Army, her researchpursues areas such as learning and modeling user behavior, individual differences, and personalized health risk communication. Her workhas been published in leading conferences and journals such as CHI, InfoVis, VASTand TVCG. Biography Professor Ottley joined the Department of Computer Science & Engineering at Washington University in St. Louis in 2016. : . . . 314-935-2738 alvitta@wustl.edu Jolley Hall, Room 410. . Google Scholar. Assistant Professor. Alvitta Ottley'scurrent research interests include information visualization, human-computer interaction and visual analytics. Previously funded by NSF and U.S. Army, her researchpursues areas such as learning and modeling user behavior, individual differences, and personalized health risk communication. Her workhas been published in leading conferences and journals such as CHI, InfoVis, VASTand TVCG.. . Focuses on designing personalized &adaptive visualization systems. diff --git a/src/data/compiled_bios/4603.txt b/src/data/compiled_bios/4603.txt new file mode 100644 index 0000000000..706a52c930 --- /dev/null +++ b/src/data/compiled_bios/4603.txt @@ -0,0 +1 @@ + Neal Patwari Professor Lab Website Research Professor Patwari performs research at the intersection of statistical signal processing and wireless networking, for improving wireless sensor networking and RF sensing. Biography Professor Patwari isjointly appointed in the Department of Electrical & Systems Engineering and the Department of Computer Science & Engineering. Professor Patwariwas a research engineer at Motorola Labs, and was faculty at the University of Utah from 2006-2018. He has helped start two companies, Xandem, and Sixth Sensing, which develop and sell RF sensing products. Professor Patwari received the NSF CAREER Award in 2008, the 2009 IEEE Signal Processing Society Best Magazine Paper Awardand the 2011 University of Utah Early Career Teaching Award. He has co-authored papers with best paper awards at IEEE SenseApp 2012 and at the ACM/IEEE IPSN 2014 conference. Neal serves on technical program committees of conferences in wireless and sensor networking such as IPSN, MobiCom, SECONand SenSys.: . . . 314-935-6935 npatwari@wustl.edu Green Hall, Room 2155. . PhD, University of Michigan, 2005 MS, Virginia Tech, 1999 BS, Virginia Tech, 1997. Google Scholar. Professor. Professor Patwari performs research at the intersection of statistical signal processing and wireless networking, for improving wireless sensor networking and RF sensing.. Professor Patwari isjointly appointed in the Department of Electrical & Systems Engineering and the Department of Computer Science & Engineering.. Professor Patwariwas a research engineer at Motorola Labs, and was faculty at the University of Utah from 2006-2018. He has helped start two companies, Xandem, and Sixth Sensing, which develop and sell RF sensing products. Professor Patwari received the NSF CAREER Award in 2008, the 2009 IEEE Signal Processing Society Best Magazine Paper Awardand the 2011 University of Utah Early Career Teaching Award. He has co-authored papers with best paper awards at IEEE SenseApp 2012 and at the ACM/IEEE IPSN 2014 conference. Neal serves on technical program committees of conferences in wireless and sensor networking such as IPSN, MobiCom, SECONand SenSys.. Researches the intersection of wireless networking, radio propagation, and signal processing. diff --git a/src/data/compiled_bios/4604.txt b/src/data/compiled_bios/4604.txt new file mode 100644 index 0000000000..04b0b1ece0 --- /dev/null +++ b/src/data/compiled_bios/4604.txt @@ -0,0 +1 @@ + William Richard Associate Professor Lab Website Expertise Low-cost medical ultrasound Research William Richard's research focuses on the development of architectures and image processing algorithms for low-cost, low-power, portable ultrasound systems that can be used to provide ultrasonic imaging capability in underserved and remote areas. Biography Since joining Washington University in St. Louis in 1988, Professor Richard has continued the development of architectures and image processing algorithms for ultrasonic imaging. His 1989 paper on real-time gain correction and his 1994 paper on real-time scan conversion (with Professor Martin Arthur) were key to the development of many low-cost commercial ultrasonic imaging systems. Professor Richard developed a low-cost, PCI-bus based system based on these techniques in 1995 for prostate localiztion during radiation treatment at the M.D. Anderson Cancer Center and a second system in 1996 to localize brain tumors during neurosurgery at the Cleveland Clinic as part of the CAMIS (Computer-Assisted Minimally-Invasive Surgery) project. The Universal Serial Bus (USB) ultrasound probes developed by Professor Richard, which require only a laptop or tablet to form a complete ultrasonic imaging system, were named by Popular Science Magazine as one of the Best 100 Innovations of 2006. The same year, the International Academy of Science named the USB probes one of the top 10 finalists for their "Technology of the Year Award." With funding from Microsoft Research, Professor Richard combined his USB probes with a Windows Mobile (TM) smartphone to develop the first smartphone-based ultrasound imaging system. The commercial version of this system was the first smartphone-based diagnostic device cleared by the FDA, and it was named by Popular Science as one of the Best 100 Innovations of 2012. Professor Richard was awarded a patent on a novel technique for real-time synthetic focus ultrasonic imaging in 2004. He served on the editorial board for Computerized Medical Imaging and Graphics for over twenty years. He is a member of the American Society for Engineering Education and a senior member of the Institute of Electrical and Electronics Engineers.: . . . 314-935-4676 wdr@wustl.edu JolleyHall, Room 538. . Google Scholar. Associate Professor. . Low-cost medical ultrasound. . William Richard's research focuses on the development of architectures and image processing algorithms for low-cost, low-power, portable ultrasound systems that can be used to provide ultrasonic imaging capability in underserved and remote areas.. Since joining Washington University in St. Louis in 1988, Professor Richard has continued the development of architectures and image processing algorithms for ultrasonic imaging. His 1989 paper on real-time gain correction and his 1994 paper on real-time scan conversion (with Professor Martin Arthur) were key to the development of many low-cost commercial ultrasonic imaging systems. Professor Richard developed a low-cost, PCI-bus based system based on these techniques in 1995 for prostate localiztion during radiation treatment at the M.D. Anderson Cancer Center and a second system in 1996 to localize brain tumors during neurosurgery at the Cleveland Clinic as part of the CAMIS (Computer-Assisted Minimally-Invasive Surgery) project.. The Universal Serial Bus (USB) ultrasound probes developed by Professor Richard, which require only a laptop or tablet to form a complete ultrasonic imaging system, were named by Popular Science Magazine as one of the Best 100 Innovations of 2006. The same year, the International Academy of Science named the USB probes one of the top 10 finalists for their "Technology of the Year Award." With funding from Microsoft Research, Professor Richard combined his USB probes with a Windows Mobile (TM) smartphone to develop the first smartphone-based ultrasound imaging system. The commercial version of this system was the first smartphone-based diagnostic device cleared by the FDA, and it was named by Popular Science as one of the Best 100 Innovations of 2012.. Professor Richard was awarded a patent on a novel technique for real-time synthetic focus ultrasonic imaging in 2004. He served on the editorial board for Computerized Medical Imaging and Graphics for over twenty years. He is a member of the American Society for Engineering Education and a senior member of the Institute of Electrical and Electronics Engineers.. Aims to provide low-cost & low-power ultrasonic imaging devices. . diff --git a/src/data/compiled_bios/4605.txt b/src/data/compiled_bios/4605.txt new file mode 100644 index 0000000000..6bb2a140e8 --- /dev/null +++ b/src/data/compiled_bios/4605.txt @@ -0,0 +1 @@ + Jonathan Shidal Lecturer Lab Website : . . . (314) 935-6132 shidalj@wustl.edu Jolley Hall, Room 214. . PhD, Washington University in St. Louis, 2016 BA, DePauw University, 2011. Lecturer. diff --git a/src/data/compiled_bios/4606.txt b/src/data/compiled_bios/4606.txt new file mode 100644 index 0000000000..3c1c9337af --- /dev/null +++ b/src/data/compiled_bios/4606.txt @@ -0,0 +1 @@ + Doug Shook Lecturer Doug Shook has been a Lecturer at Washington University in St. Louis since 2013.: . . . (314) 935-6160 dshook@wustl.edu Jolley Hall, Room 534. . MS, Washington University in St. Louis, 2013 BS, Ball State University, 2010. Lecturer. Doug Shook has been a Lecturer at Washington University in St. Louis since 2013.. diff --git a/src/data/compiled_bios/4607.txt b/src/data/compiled_bios/4607.txt new file mode 100644 index 0000000000..cb68d1df4c --- /dev/null +++ b/src/data/compiled_bios/4607.txt @@ -0,0 +1 @@ + Bill Siever Principal Lecturer : . . . (573) 364-8890 bsiever@wustl.edu Jolley Hall, Room 221. . PhD,Missouri University of Science and Technology MS,Missouri University of Science and Technology BS,Missouri University of Science and Technology. Principal Lecturer. diff --git a/src/data/compiled_bios/4608.txt b/src/data/compiled_bios/4608.txt new file mode 100644 index 0000000000..25c9cb248e --- /dev/null +++ b/src/data/compiled_bios/4608.txt @@ -0,0 +1 @@ + Todd Sproull Senior Lecturer Lab Website Todd Sproull joined the faculty in 2009, serves as the director of Internet Technologies and Applications (ITA), received the Department Chair Award for Outstanding Teaching in 2015.: . . . (314) 935-7140 todd@wustl.edu Jolley Hall, Room 536 . . PhD, Washington University in St. Louis, 2009 MS, Washington University in St. Louis, 2002 BS, Southern Illinois University in Edwardsville, 2000. Senior Lecturer. Todd Sproull joined the faculty in 2009, serves as the director of Internet Technologies and Applications (ITA), received the Department Chair Award for Outstanding Teaching in 2015.. diff --git a/src/data/compiled_bios/4609.txt b/src/data/compiled_bios/4609.txt new file mode 100644 index 0000000000..ce159e465a --- /dev/null +++ b/src/data/compiled_bios/4609.txt @@ -0,0 +1 @@ + Yevgeniy Vorobeychik Associate Professor Lab Website Research Yevgeniy Vorobeychik's work focuses on game theoretic modeling of security and privacy, adversarial machine learning, algorithmic and behavioral game theory and incentive design, optimization, agent-based modeling, complex systems, network scienceand epidemic control. Biography Yevgeniy Vorobeychik joined Washington University in St. Louis in 2018.He wasan assistant professor of computer science and biomedical informatics at Vanderbilt University from 2013 until 2018, and a principal research scientist at Sandia National Laboratories from 2010 until 2013. Between 2008 and 2010 he was a post-doctoral research associate at the University of Pennsylvania Computer and Information Science department. He received a PhDand MSE in Computer Science and Engineering from the University of Michiganand a BS degree in Computer Engineering from Northwestern University. ProfessorVorobeychik received an NSF CAREER award in 2017and was invited to give an IJCAI-16 early career spotlight talk. He was nominated for the 2008 ACM Doctoral Dissertation Award and received honorable mention for the 2008 IFAAMAS Distinguished Dissertation Award.: . . . 314-935-6044 yvorobeychik@wustl.edu Jolley Hall, Room 211. . PhD, University of Michigan, 2008 MSE, University of Michigan, 2004 BS, Northwestern University, 2002. Google Scholar. Associate Professor. Yevgeniy Vorobeychik's work focuses on game theoretic modeling of security and privacy, adversarial machine learning, algorithmic and behavioral game theory and incentive design, optimization, agent-based modeling, complex systems, network scienceand epidemic control. . Yevgeniy Vorobeychik joined Washington University in St. Louis in 2018.He wasan assistant professor of computer science and biomedical informatics at Vanderbilt University from 2013 until 2018, and a principal research scientist at Sandia National Laboratories from 2010 until 2013. Between 2008 and 2010 he was a post-doctoral research associate at the University of Pennsylvania Computer and Information Science department. He received a PhDand MSE in Computer Science and Engineering from the University of Michiganand a BS degree in Computer Engineering from Northwestern University.. ProfessorVorobeychik received an NSF CAREER award in 2017and was invited to give an IJCAI-16 early career spotlight talk. He was nominated for the 2008 ACM Doctoral Dissertation Award and received honorable mention for the 2008 IFAAMAS Distinguished Dissertation Award.. Uses game theory modeling to improve cybersecurity and onlineprivacy. diff --git a/src/data/compiled_bios/461.txt b/src/data/compiled_bios/461.txt new file mode 100644 index 0000000000..e488f930b8 --- /dev/null +++ b/src/data/compiled_bios/461.txt @@ -0,0 +1 @@ +GCT publications: Overviews of GCT The GCT program toward the P vs. NP problem, CACM, vol. 55, issue 6, June 2012, pp. 98-107. On P vs. NP, and Geometric Complexity Theory, JACM, vol. 58, issue 2, April 2011. FOCS 2010 Tutorial based on this overview. GCT Papers Lower Bounds in a Parallel Model without bit operations, SIAM J. Comput., 28, (1999), pp. 1460-1509. Geometric complexity theory I: An approach to the P vs. NP and related problems (with M. Sohoni), SIAM J. Comput., vol 31, no. 2, pp. 496-526, (2001). Geometric complexity theory II: Towards explicit obstructions for embeddings among class varieties (with M. Sohoni) . SIAM J. Comput., Vol. 38, Issue 3, June 2008. Geometric complexity theory, P vs. NP and explicit obstructions (with M. Sohoni), in "Advances in Algebra and Geometry", Edited by C. Musili, the proceedings of the International Conference on Algebra and Geometry, Hyderabad, 2001. Geometric complexity theory III: on deciding nonvanishing of a Littlewood-Richardson coefficient (with H. Narayanan and M. Sohoni), Journal of Algebraic Combinatorics, pages 1-8, November, 2011. Geometric complexity theory IV: nonstandard quantum group for the Kronecker problem (with J. Blasiak and M. Sohoni), to appear in Memoirs of American Mathematical Society. Preprint available as arXiv:cs/0703110[cs.CC], June 2013. Geometric Complexity Theory V: Efficient algorithms for Noether normalization, to appear in the Journal of the AMS. Explicit Proofs and The Flip, Technical Report, Computer Science Department, The University of Chicago, September 2010. Geometric Complexity Theory VI: the flip via positivity, Technical Report, computer science department, The University of Chicago, January 2011. Geometric Complexity Theory VII: Nonstandard quantum group for the plethysm problem, Technical Report TR-2007-14, computer science department, The University of Chicago, September, 2007. Geometric Complexity Theory VIII: On canonical bases for the nonstandard quantum groups, Technical Report TR-2007-15, computer science department, The University of Chicago, September, 2007. Lecture notes on GCT On P vs. NP, Geometric Complexity Theory, and the Riemann Hypothesis, Technical Report, Computer Science department, The University of Chicago, August, 2009. cs.ArXiv preprint cs.CC/0908.1936 This overview is based on a series of three lectures. Video lectures in this series are available here. Geometric Complexity Theory: Introduction (with M. Sohoni), Technical Report TR-2007-16, computer science department, The University of Chicago, September, 2007. Lecture notes for an introductory graduate course on geometric complexity theory in the computer science department, the university of Chicago. On P vs. NP, Geometric Complexity Theory, and The Flip I: a high-level view, Technical Report TR-2007-13, computer science department, The University of Chicago, September, 2007. diff --git a/src/data/compiled_bios/4610.txt b/src/data/compiled_bios/4610.txt new file mode 100644 index 0000000000..2e4e2ca411 --- /dev/null +++ b/src/data/compiled_bios/4610.txt @@ -0,0 +1 @@ + William Yeoh Assistant Professor Lab Website Research Professor Yeohs research focuses on artificial intelligence with an emphasis on developing optimization algorithms for agent-based systems. His primary expertise is in distributed constraint optimization, where his goal is to develop and deploy such algorithms in multi-agent systems including smart grid and smart home applications as well as cloud and edge computing applications. His research has been funded by the National Science Foundation (NSF) as well as the Defense Advanced Research Projects Agency (DARPA). Biography Professor Yeoh joined Washington University in St. Louis in 2017from New Mexico State University, where he was an assistant professor of computer science since 2012. He received a CAREER Award from the National Science Foundation in 2016 and was named one of AIs 10 to Watch by IEEE Intelligent Systems. Previously, he was a research scientist at Singapore Management University and a postdoctoral research associate at the University of Massachusetts, Amherst. He has served on the program committees and senior program committees of numerous AI-related conferences including AAAI, AAMAS, CP, ICAPS, and IJCAI. He has also served as student outreach co-chair of AAAI, tutorial co-chair of AAAI and PRIMA, scholarship co-chair of AAMAS, and sponsorship co-chair of ICAPS. : . . . 314-935-3098 wyeoh@wustl.edu JolleyHall, Room 407. . Google Scholar. Assistant Professor. Professor Yeohs research focuses on artificial intelligence with an emphasis on developing optimization algorithms for agent-based systems. His primary expertise is in distributed constraint optimization, where his goal is to develop and deploy such algorithms in multi-agent systems including smart grid and smart home applications as well as cloud and edge computing applications. His research has been funded by the National Science Foundation (NSF) as well as the Defense Advanced Research Projects Agency (DARPA).. Professor Yeoh joined Washington University in St. Louis in 2017from New Mexico State University, where he was an assistant professor of computer science since 2012. He received a CAREER Award from the National Science Foundation in 2016 and was named one of AIs 10 to Watch by IEEE Intelligent Systems. Previously, he was a research scientist at Singapore Management University and a postdoctoral research associate at the University of Massachusetts, Amherst.. He has served on the program committees and senior program committees of numerous AI-related conferences including AAAI, AAMAS, CP, ICAPS, and IJCAI. He has also served as student outreach co-chair of AAAI, tutorial co-chair of AAAI and PRIMA, scholarship co-chair of AAMAS, and sponsorship co-chair of ICAPS. . Develops algorithms forsmart grid &smart home applications. diff --git a/src/data/compiled_bios/4611.txt b/src/data/compiled_bios/4611.txt new file mode 100644 index 0000000000..c228c23abc --- /dev/null +++ b/src/data/compiled_bios/4611.txt @@ -0,0 +1 @@ + Miaomiao Zhang Assistant Professor Lab Website Research Miaomiao Zhangs current researchfocuses on developing novel models at theintersectionof statistics, mathematics, and computer engineering in the fieldofmedical and biological imaging. More specifically, her current research projects include image registration/segmentation, statistical shape analysis to quantify anatomical changes, and machine learning with applications to neuroimaging and computer-assisted surgery. Bio Professor Zhang completed her PhD in computer science at theUniversity of Utah. She was a postdoctoral associate in theComputer Science and Artificial Intelligence Laboratory (CSAIL) at the Massachusetts Institute of Technology. Professor Zhang received theMedical Image Computing and Computer Assisted Intervention (MICCAI) young scientist award in2014 and was a runner-up for theyoung scientist award in2016. She is a member of MICCAI society and an area chair for MICCAI 2018. She is also a program committee member in ShapeMI MICCAI 2018.: . . . 314-935-8632 zhang.m@wustl.edu Jolley Hall, Room 204. . PhD, University of Utah, 2015 MS, East China Normal University, 2010 BS, Henan Normal University, 2008. Google Scholar . Assistant Professor. Miaomiao Zhangs current researchfocuses on developing novel models at theintersectionof statistics, mathematics, and computer engineering in the fieldofmedical and biological imaging. More specifically, her current research projects include image registration/segmentation, statistical shape analysis to quantify anatomical changes, and machine learning with applications to neuroimaging and computer-assisted surgery.. Professor Zhang completed her PhD in computer science at theUniversity of Utah. She was a postdoctoral associate in theComputer Science and Artificial Intelligence Laboratory (CSAIL) at the Massachusetts Institute of Technology. Professor Zhang received theMedical Image Computing and Computer Assisted Intervention (MICCAI) young scientist award in2014 and was a runner-up for theyoung scientist award in2016. She is a member of MICCAI society and an area chair for MICCAI 2018. She is also a program committee member in ShapeMI MICCAI 2018.. Analyzesanatomical shape changes to better understanddiseases. diff --git a/src/data/compiled_bios/4612.txt b/src/data/compiled_bios/4612.txt new file mode 100644 index 0000000000..7d7912a390 --- /dev/null +++ b/src/data/compiled_bios/4612.txt @@ -0,0 +1 @@ + Ning Zhang Assistant Professor Lab Website Research Professor Zhang's research focus is system security, which lies at the intersection of security, computer architecture and programming language. He is particularly interested in secure software/hardware systems, side-channel analysis, malwareand digital forensics. He isalsointerested in developing new methods to automatically discover and mitigate system vulnerabilities. Biography Professor Zhang joined the Department of Computer Science & Engineering at Washington Universityin Fall 2018. Prior to that, he was a principal cyber engineer/researcher and technical lead at Cyber Security Innovations of Raytheon. Throughout his eleven-year career at Raytheon, he has worked to protect various critical networked and cyber-physical infrastructures.: . . . 314-935-6576 zhang.ning@wustl.edu Jolley Hall, Room 206. . . PhD, Virginia Polytechnic Institute and State University, 2016 MS, Worcester Polytechnic Institute, 2011 BS, MS, University of Massachusetts Amherst, 2007. Google Scholar. Assistant Professor. Research. Professor Zhang's research focus is system security, which lies at the intersection of security, computer architecture and programming language. He is particularly interested in secure software/hardware systems, side-channel analysis, malwareand digital forensics. He isalsointerested in developing new methods to automatically discover and mitigate system vulnerabilities.. Professor Zhang joined the Department of Computer Science & Engineering at Washington Universityin Fall 2018. Prior to that, he was a principal cyber engineer/researcher and technical lead at Cyber Security Innovations of Raytheon. Throughout his eleven-year career at Raytheon, he has worked to protect various critical networked and cyber-physical infrastructures.. Building provable security protection in mission-critical systems. diff --git a/src/data/compiled_bios/4613.txt b/src/data/compiled_bios/4613.txt new file mode 100644 index 0000000000..377a3a1cb0 --- /dev/null +++ b/src/data/compiled_bios/4613.txt @@ -0,0 +1 @@ + Weixiong Zhang Professor Lab Website Research In biology and medical science areas,Weixiong Zhang is interested in developing computational methods for complex problems appeared in molecular biology, genetics, systems biology and genomics. He is particularly interested in applying computational methods to the understanding of complex human diseases, including Alzheimers disease and psoriasis, and environmental stress response in agri-economically important plants, such as rice and cassava. In recent years, he has been focusing on three lines of biological research: gene regulation through small noncoding RNAs, transcriptome analysis and genotype-phenotype association. In Artificial Intelligence, his main focuses are heuristic search, combinatorial optimization and planning. He has made several important contributions to these areas, documented in many papers in top journals (e.g. 11 inArtificial Intelligence) and conferences. Among these important results are two worthwhile to mention. First, he showed that linear-space heuristic search algorithms, including depth-first search and iterative deepening, are asymptotically optimal, so that they are the algorithms of choice for large problems. Moreover, this result also resolved an anomaly of look-ahead search, which has been widely adopted as a model of real-time problem solving. Second, he analyzed phase transitions in combinatorial optimization problems, e.g., the Traveling Salesman Problem and the maximum Satisifiability, showing their easy-difficulty phase transitions, which are in sharp contrast to the easy-hard-easy phase transitions in decision problems. Furthermore, he also developed effective approximation algorithms that exploit phase transitions. In recent years, Professor Zhang has been focusing on Satisifiability-based planning. His joint work with Ruoyun Huang and Yixin Chen on planning won the Outstanding Paper Award of the 2010 National Conference on AI. Biography After spending several years at Information Sciences Institute, University of Southern California, Professor Zhang joined the faculty at Washington University in St. Louis in 2000. He currently has a joint appointment in the Genetics Department, School of Medicine. Professor Zhang is currently Deputy Editor of PLoS Computational Biology , a leading journal in the field of computational biology, Associate Editor of Artificial Intelligence , the premier journal of the field of artificial intelligence, and Associate Editor of AI Communication: The European Journal on Artificial Intelligence . Professor Zhangs research is multi-disciplinary and spans across two fields, Computational Biology and Artificial Intelligence.: . . . 314-935-8788 weixiong.zhang@wustl.edu Jolley Hall, Room 530. . Google Scholar. Professor. In biology and medical science areas,Weixiong Zhang is interested in developing computational methods for complex problems appeared in molecular biology, genetics, systems biology and genomics. He is particularly interested in applying computational methods to the understanding of complex human diseases, including Alzheimers disease and psoriasis, and environmental stress response in agri-economically important plants, such as rice and cassava. In recent years, he has been focusing on three lines of biological research: gene regulation through small noncoding RNAs, transcriptome analysis and genotype-phenotype association.. After spending several years at Information Sciences Institute, University of Southern California, Professor Zhang joined the faculty at Washington University in St. Louis in 2000. He currently has a joint appointment in the Genetics Department, School of Medicine.. Develops data analytic methods for analyzing large medical data. diff --git a/src/data/compiled_bios/4614.txt b/src/data/compiled_bios/4614.txt new file mode 100644 index 0000000000..d168743723 --- /dev/null +++ b/src/data/compiled_bios/4614.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Faculty Full-Time Dr. Mongi A. Abidi Dr. Hua Kevin Bai Dr. Micah Beck Dr. Michael Berry Dr. Benjamin J. Blalock Dr. Qing Charles Cao Dr. Daniel Costinett Dr. Judy Day Dr. Mark Dean Dr. Seddik M. Djouadi Dr. Jack Dongarra Dr. Scott Emrich Dr. Aly Fathy Dr. Jens Gregor Dr. Gong Gu Dr. Austin Henley Dr. Jian Huang Dr. Michael Jantz Dr. Michael A. Langston Dr. Fangxing Fran Li Dr. Husheng Li Dr. Yilu Liu Dr. Bruce MacLennan Dr. Nicole McFarlane Dr. Audris Mockus Dr. Arun Padakandla Dr. Lynne E. Parker Dr. Gregory Peterson Dr. James Plank Dr. Hector Pulgar Dr. Hairong Qi Dr. Garrett Rose Dr. Scott Ruoti Dr. Amir Sadovnik Dr. Max Schuchard Dr. Jinyuan Stella Sun Dr. Kai Sun Dr. Michela Taufer Dr. Leon Tolbert Dr. Kevin Tomsovic Dr. Brad Vander Zanden Dr. Fei Fred Wang Dr. Dan Wilson Dr. Jayne Wu Professor of Practice Dr. David Icove Lecturer Dr. Joshua Dunn Dr. Lila Holt Mr. Fred Martin Dr. Stephen Marz Research Dr. Chien-fei Chen Dr. Roger Horn Dr. Shutang Steve You Dr. Lin Zhu Joint Faculty with ORNL Dr. Valentine Anantharaj Dr. Edmon Begoli Dr. Charles Britton Dr. Mark Buckner Dr. Eugene Cochran Dr. Milton Ericson Dr. Peter Fuhr Dr. John Goodall Dr. Scott Klasky Dr. Phani Teja Kuruganti Dr. Joseph Bryan Lyles Dr. Alex Melin Dr. Joshua New Dr. James Nutaro Dr. Burak Ozpineci Dr. Stacy Prowell Dr. David Pugmire Dr. Richard Raines Dr. Hector Santos-Villalobos Dr. Catherine Schuman Dr. Sudip Seal Dr. Mallikarjun (Arjun) Shankar Dr. Chad Steed Dr. Jeffrey Vetter Dr. Dali Wang Dr. Feiyi Wang Dr. Kai Xiao Dr. Thomas Zacharia Adjunct Faculty Dr. Itamar Arel James Chris Arnott Dr. David Binkley Dr. George Bosilca Dr. Ethan Farquhar Dr. Wei Gao Dr. Jeremy Holleman Dr. Syed Islam Dr. Bashir Morshed Dr. Nathanael Paul Dr. Karl Sillay Dr. Chao Tian Dr. Stanimire Tomov Zhiqiang Wang Emeritus Dr. J. Douglas Birdwell Dr. Asa O. Bishop Jr. Dr. R.E. Bodenheimer Dr. Bimal K. Bose Dr. Donald W. Bouldin Dr. R. C. Gonzalez Dr. Joseph M. Googe Dr. Walter L. Green Dr. Eldredge Kennedy Dr. Jack S. Lawler Mr. C.D. Martin Ms. J. Wallace Mayo Dr. Michael J. Roberts Dr. James M. Rochelle Dr. Gordon R. Sherman Dr. David Straight Dr. Fred Symonds Dr. Michael G. Thomason Dr. Michael D. Vose Dr. J. Wayne Waller Dr. Robert C. Ward In Memoriam Mr. Raymond K. Adams Dr. Igor Alexeff Dr. J. Milton Bailey Dr. James C. Hung Dr. Marshall O. Pace Dr. Jesse H. Poore Dr. David Rosenberg Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4615.txt b/src/data/compiled_bios/4615.txt new file mode 100644 index 0000000000..51ee4b12de --- /dev/null +++ b/src/data/compiled_bios/4615.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Full-Time Faculty Dr. Mongi Abidi Professor Pattern Recognition, Image Processing,Robotics Dr. Hua Kevin Bai Associate Professor Power Electronics in Motor Drive Systems, Applications of Wide-bandgap Devices Dr. Micah Beck Associate Professor Networks, Distributed Computing Dr. Michael Berry Professor Scientific Computing, Information Retrieval Dr. Benjamin J. Blalock Professor Analog and Mixed-Signal Circuits Dr. Qing Charles Cao Associate Professor Wireless and Distributed Sensor Networks Dr. Daniel Costinett Assistant Professor Power Electronics, Electric Vehicles Dr. Judy Day Associate Professor Model Predictive Control, Translational Medicine Dr. Mark Dean Professor and Interim Dean Neuromorphic Computing, Data Center Reliability Dr. Seddik M. Djouadi Professor Automatic Control, Smart Grid Applications Dr. Jack Dongarra Professor High-Performance and Scientific Computing Dr. Scott Emrich Associate Professor Genome-focused Bioinformatics, High-throughput and Parallel Computing, Life Science Applications Dr. Aly Fathy Professor Antennas and Microwaves Dr. Jens Gregor Professor Image Processing, Biomedical DataVisualization Dr. Gong Gu Professor Graphene, Electronic Materials Dr. Austin Henley Assistant Professor Software engineering, Human-computer interaction, Developer productivity Dr. Jian Huang Professor Data Analytics and Visualization Dr. Michael Jantz Assistant Professor Software Systems, Compilers Dr. Michael A. Langston Professor Bioinformatics, Data Analytics, Graph Theory Dr. Fangxing Fran Li James W. McConnell Professor Power Systems Modeling and Economics Dr. Husheng Li Associate Professor Wireless Communication and Networks Dr. Yilu Liu Governors Chair Professor Power Systems Monitoring and Control Dr. Bruce MacLennan Associate Professor Bio-inspired Computation, Artificial Morphogenesis Dr. Nicole McFarlane Associate Professor Bio-electronics, Mixed Signal Circuits Dr. Audris Mockus Professor Data Analytics, Software Engineering Dr. Arun Padakandla Assistant Professor Data Science, Security, Information Theory Dr. Lynne E. Parker Professor Robotics, Distributed Intelligence Dr. Gregory Peterson Professor High-Performance Computer Architectures Dr. James Plank Professor Neuromorphic Computing, Data Storage Dr. Hector Pulgar Assistant Professor Power System Dynamics and Control Dr. Hairong Qi Professor Collaborative Sensor Signal and Image Processing Dr. Garrett Rose Associate Professor Memristors, Nanoelectronics, HardwareSecurity Dr. Scott Ruoti Assistant Professor Systems security, Web security, Usable security, Blockchain Dr. Amir Sadovnik Assistant Professor Computer Vision, Machine Learning, Natural Language Generation, Human Computer Interaction Dr. Max Schuchard Assistant Professor Computer Security and Privacy, Crypto-Currencies Dr. Jinyuan Stella Sun Associate Professor Cybersecurity, Network Privacy Dr. Kai Sun Associate Professor Power System Dynamics, Stability, Control Dr. Michela Taufer Dongarra Professor High Performance Computing, Big Data Analytics Dr. Leon Tolbert Professor Power Electronics, Renewable Energy Dr. Kevin Tomsovic Professor Power System Modeling and Control Dr. Brad Vander Zanden Professor Graphic Programming, Instructional Technology Dr. Fei Fred Wang Professor Power Electronics Dr. Dan Wilson Assistant Professor Model reduction of nonlinear dynamical systems Dr. Jayne Wu Professor Bio-electronics, Microfluidics, MEMs Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4616.txt b/src/data/compiled_bios/4616.txt new file mode 100644 index 0000000000..f39bc94b2e --- /dev/null +++ b/src/data/compiled_bios/4616.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Professor of Practice, Lecturer and Research Professor of Practice Dr. David Icove UL Professor of Practice Fire Protection and Forensics Lecturer Dr. Joshua Dunn Lecturer Computer Vision, Image Registration and Segmentation, Medical Imaging Dr. Lila Holt Lecturer Computational Thinking, Organizational Learning Mr. Fred Martin Lecturer Circuit Theory and Design, EM Field Theory Dr. Stephen Marz Lecturer Operating Systems, Programming Languages Research Dr. Chien-fei Chen Research Associate Professor Director of Education & Diversity, CURENT Dr. Roger Horn Research Professor Neuromorphic Computing, Machine Learning Dr. Xiaojie Shi Research Assistant Professor Modular Multilevel Converters Dr. Shutang Steve You Research Assistant Professor Power Systems and Smart Grid Dr. Lin Zhu Research Assistant Professor Power System Monitoring, Protection and Control Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4617.txt b/src/data/compiled_bios/4617.txt new file mode 100644 index 0000000000..cec31ad507 --- /dev/null +++ b/src/data/compiled_bios/4617.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Joint Faculty with ORNL & Adjunct Faculty Joint Faculty with ORNL Dr. Valentine Anantharaj Dr. Edmon Begoli Dr. Charles Britton Dr. Mark Buckner Dr. Eugene Cochran Dr. Milton Ericson Dr. Peter Fuhr Dr. John Goodall Dr. Scott Klasky Dr. Phani Teja Kuruganti Dr. Joseph Bryan Lyles Dr. Alex Melin Dr. Joshua New Dr. James Nutaro Dr. Burak Ozpineci Dr. Stacy Prowell Dr. David Pugmire Dr. Richard Raines Dr. Hector Santos-Villalobos Dr. Catherine Schuman Dr. Sudip Seal Dr. Mallikarjun (Arjun) Shankar Dr. Chad Steed Dr. Jeffrey Vetter Dr. Dali Wang Dr. Feiyi Wang Dr. Kai Xiao Dr. Thomas Zacharia Adjunct Faculty Dr. Itamar Arel James Chris Arnott Dr. David Binkley Dr. George Bosilca Dr. Ethan Farquhar Dr. Wei Gao Dr. Jeremy Holleman Dr. Syed Islam Dr. Bashir Morshed Dr. Nathanael Paul Dr. Karl Sillay Dr. Chao Tian Dr. Stanimire Tomov Zhiqiang Wang Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4618.txt b/src/data/compiled_bios/4618.txt new file mode 100644 index 0000000000..171e8fa81b --- /dev/null +++ b/src/data/compiled_bios/4618.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Emeritus Dr. J. Douglas Birdwell Dr. Asa O. Bishop Jr. Dr. R.E. Bodenheimer Dr. Bimal K. Bose Dr. Donald W. Bouldin Dr. R. C. Gonzalez Dr. Joseph M. Googe Dr. Walter L. Green Dr. Eldredge Kennedy Dr. Jack S. Lawler Mr. C.D. Martin Ms. J. Wallace Mayo Dr. Michael J. Roberts Dr. James M. Rochelle Dr. Gordon R. Sherman Dr. David Straight Dr. Fred Symonds Dr. Michael G. Thomason Dr. Michael D. Vose Dr. J. Wayne Waller Dr. Robert C. Ward Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4619.txt b/src/data/compiled_bios/4619.txt new file mode 100644 index 0000000000..83835c1b15 --- /dev/null +++ b/src/data/compiled_bios/4619.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING In Memoriam Mr. Raymond K. Adams Dr. Igor Alexeff Dr. J. Milton Bailey Dr. James C. Hung Dr. Marshall O. Pace Dr. Jesse H. Poore Dr. David Rosenberg Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/462.txt b/src/data/compiled_bios/462.txt new file mode 100644 index 0000000000..8a08b23469 --- /dev/null +++ b/src/data/compiled_bios/462.txt @@ -0,0 +1 @@ +John A. Goldsmith Edward Carson Waller Distinguished Service Professor of Linguistics and Computer Science Battle in the Mind Fields Battle in the Mind Fields is the title of a book that I recently finished, with Bernard Laks, which reflects on the nature of intellectual rupture and continuity, with a careful look at linguistics, philosophy, psychology, and logic during the period from 1870 to 1940. Here is a link to the book\'s webpage, and here is a link to the genealogical skein which you see just below. It will appear in early 2018 with the University of Chicago Press. Linguistica Linguistica is the name of a family of programs that I and students of mine have developed to learn the morphology of natural languages. Its goal is to help us understand what kind of prior knowledge would be important, useful, and necessary in order to learn the morphology of natural languages. It attempts to answer the question of what Universal Grammar is and what form it takes in an open-minded way. Morphology Geometric morphology, with Eric Rosen. 2017. Working paper (July 2015) on first and second order string differences. Analogy in morphology 2007. American descriptivist morphology in the 1950s 2017. An algorithm for the unsupervised learning of morphology 2006 Other papers Links to handouts and slides. diff --git a/src/data/compiled_bios/4620.txt b/src/data/compiled_bios/4620.txt new file mode 100644 index 0000000000..35505762b5 --- /dev/null +++ b/src/data/compiled_bios/4620.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Research Staff Ms. Kathleen Ernst Administrative Specialist 510 Min H. Kao Building (865) 974-4133 Fax: (865) 974-4570 kernst2@utk.edu Ms. Samantha White Administrative Specialist 510 Min H. Kao Building (865) 974-3482 Fax: (865) 974-5483 swhite71@utk.edu Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4621.txt b/src/data/compiled_bios/4621.txt new file mode 100644 index 0000000000..3198a372e8 --- /dev/null +++ b/src/data/compiled_bios/4621.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. Mongi Abidi Professor Contact Information Email: abidi@utk.edu Web: IRIS Mailing Address: Min H. Kao Building, Room 203 1520 Middle Drive Knoxville, TN 37996-2250 Office Phone: 865-974-5454 Office Fax: 865-974-5483 Areas of Interest Image Processing Robotics Artificial Intelligence Education Ph.D. in Electrical Engineering, The University of Tennessee, Knoxville, 1986 M.S. in Electrical Engineering, The University of Tennessee, Knoxville, 1984 Principal Engineering degree in Electrical Engineering, The National Engineering School of Tunis, Tunisia, 1981 Background Dr. Mongi A. Abidi, Professor in the Electrical Engineering and Computer Science Department, directs activities in the Imaging, Robotics, and Intelligent Systems Laboratory. Dr. Abidi has been conducting research in the field of three-dimensional imaging, specifically in the areas of scene building, scene description, and data visualization. Dr. Abidi is also involved in the areas of robotic multisensing, landmark tracking and sensor calibration, data fusion and probabilistic reasoning, and enhancement of medical images. Since joining UTK as a faculty member in 1986, Dr. Abidi has acted as either principal investigator or co-principal investigator for research contracts totaling over $16 million. Dr. Abidi is currently acting as principal investigator for three programs. The first program is the 3D Imaging and Data Fusion for Robotic Manipulation and Inspection, part of the DOEs multi-university Research Program in Robotics. The second program is the 3D Imaging and Data Fusion for Automotive Simulation and Design, part of a multi-university program with the U.S. Army TACOM. The third program involves two projects, Gate-to-Gate Automated Video Tracking and Location and Operator Assisted Threat Assessment for Carry-on Luggage Inspection, both with National Safe Skies. In addition to his research duties, Dr. Abidi teaches senior and graduate courses at UTK in the fields of pattern recognition, image processing, computer vision, and robotics. He has developed three courses in image processing and robotics. He has also taught industrial courses in the areas of mathematical transforms for engineers, data fusion, fuzzy logic, and neural networks. Dr. Abidi is a member of Tau Beta Pi, Phi Kappa Phi, Eta Kappa Nu, and the Order of the Engineer. He received the First State Award in primary graduation, the First State Award in secondary graduation, and the First Presidential Principal Engineer Award. He holds memberships in the IEEE Computer Society, IEEE Institute of Electrical and Electronic Engineering, IEEE Robotics and Automation Society, Pattern Recognition Society, Association of Computing Machinery, and the International Society of Optical Engineering. Dr. Abidi is the recipient of the following awards: 2002-2003 Dun & Bradstreet Whos Who in Executives and Business, 2002 United Whos Who in Empowering Executives and Professionals, 2002 Marquis Whos Who in America, Strathmores Lifetime Whos Who Award, 2001-2003 Philips Professorship Award, 2001 Science Alliance Faculty Award, 2001 Brooks Distinguished Professor Award, 1999-2001 Weston Fulton Professorship, 1997-2000 Magnavox Professorship, and 1995 Chancellors Award for Research and Creative Achievement. Dr. Abidi is author or co-author of over 200 publications in computer vision and robotics journals and conference proceedings. He is co-editor of the book Data Fusion in Robotics and Machine Intelligence, published by Academic Press in 1992 and co-editor of the following book chapters: Logical Combinatorial Pattern Recognition: A Review, Recent Research Developments in Pattern Recognition, Transworld Research Networks, 2002; Positron Emission Tomography: Image Filtering, Encyclopedia of Computer Science and Technology, Marcel Dekker, 1993; and A Regularized Solution to Multi-Dimensional Data Fusion, Data Fusion in Robotics and Machine Intelligence, Academic Press, 1992. Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4622.txt b/src/data/compiled_bios/4622.txt new file mode 100644 index 0000000000..0c00a4b975 --- /dev/null +++ b/src/data/compiled_bios/4622.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. Hua Kevin Bai Associate Professor Contact Information Email: hbai2@utk.edu Web: PoTenntial Mailing Address: Min H. Kao Building, Room 515 1520 Middle Drive Knoxville, TN 37996-2250 Office Phone: 865-974-3461 Office Fax: 865-974-5483 Areas of Interest Power electronics in motor drive systems EV on-board charger EV DCDC converter Applications of wide-bandgap devices Battery management systems Education Ph.D., Electrical Engineering, Tsinghua University, Beijing, China, 2007 B.S., Electrical Engineering, Tsinghua University, Beijing, China, 2002 Background Dr. Hua (Kevin) Bai received B S and PHD degree from Department of Electrical Engineering of Tsinghua University, Beijing, China in 2002 and 2007, respectively. Bai was a postdoctoral fellow in University of Michigan-Dearborn from 2007 to 2010. In 2010 he joined the Department of Electrical and Computer Engineering, Kettering University (former General Motor Institute) as an assistant professor and earned his early Tenure as associate professor in 2015. He became the associate professor in CECS, UM-Dearborn from January, 2017 to 2018. In all his Michigan life since 2007, he has been devoting himself and research team to the electric vehicle related power electronics, particularly on the high-power-density and high-efficiency EV battery chargers and motor drive inverters. His industrial partners include major vehicle companies (GM, Ford, Chrysler, Daimler, etc) and suppliers (Magna, Bosch, Hella, etc). Since August, 2018 he became the Associate Professor in EECS, UT-Knoxville. He is the associate editor of SAE International Journal of Alternative Powertrains, Guest Associate Editor of Journal of Emerging and Selected Topics of Power Electronics and IEEE Access. Bai frequently teaches microelectronics, power electronics, battery/energy storage systems, and analogue and digital signals and systems. His hobbies include volleyball, tennis, travel and country pop/jazz. Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4623.txt b/src/data/compiled_bios/4623.txt new file mode 100644 index 0000000000..b6d9012c29 --- /dev/null +++ b/src/data/compiled_bios/4623.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. Micah Beck Associate Professor Contact Information Email: mbeck@utk.edu Web: EECS Mailing Address: Min H. Kao Building, Room 433 1520 Middle Drive Knoxville, TN 37996-2250 Office Phone: 865-974-3548 Office Fax: 865-974-5483 Areas of Interest Parallel and distributed computing Automatic program parallelization Program development tools Distributed and fault tolerant systems Education Ph.D. in Computer Science, Cornell University, Ithaca, New York,1992 M.S. in Computer Science, Stanford University, Palo Alto, California, 1980 B.A. with honors in Mathematics & Computer Science, University ofWisconsin, Madison, 1979 Background Dr. Beck has been an active researcher in a number of areas of computer systems, including distributed operating systems, the theory of distributed computation, compilers, parallel computation, networking and storage. He leads the Logistical Computing and Internetworking Laboratory. Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4624.txt b/src/data/compiled_bios/4624.txt new file mode 100644 index 0000000000..539285d571 --- /dev/null +++ b/src/data/compiled_bios/4624.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. Michael Berry Professor Contact Information Email: mberry@utk.edu Web: EECS Mailing Address: Min H. Kao Building, Room 616 1520 Middle Drive Knoxville, TN 37996-2250 Office Phone: 865-974-3838 Office Fax: 865-974-5483 Areas of Interest Scientific computing Parallel numerical algorithms Information retrieval Data mining Computational science and performance evaluation Visual Analytics Education Ph.D. in Computer Science, University of Illinois at Urbana-Champaign M.S. in Applied Mathematics, North Carolina State University B.S. in Mathematics, University of Georgia Background Professor Berry is the co-author and editor of two recent books published by SIAM (Society for Industrial and Applied Mathematics): Understanding Search Engines: Mathematical Modeling and Text Retrieval, Second Edition and Computational Information Retrieval. A third edited volume entitled A Survey of Text Mining was published by Springer-Verlag in August of 2003. He has published over 75 refereed journal and conference publications. He has organized numerous workshops on Text Mining and was Conference Co-Chair of the 2003 SIAM Third International Conference on Data Mining (May 1-3) in San Francisco, CA. He was also Program Co-Chair of the 2004 Co-Chair of the 2003 SIAM Fourth International Conference on Data Mining (April 22-24) in Orlando, FL. He is a member of SIAM, ACM, and the IEEE Computer Society and is on the editorial board of Computing in Science and Engineering and the SIAM Journal of Scientific Computing. Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4625.txt b/src/data/compiled_bios/4625.txt new file mode 100644 index 0000000000..633a7a9a86 --- /dev/null +++ b/src/data/compiled_bios/4625.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. Benjamin J. Blalock Professor Contact Information Email: bblalock@utk.edu Web: EECS Mailing Address: Min H. Kao Building, Room 503 1520 Middle Drive Knoxville, TN 37996-2250 Office Phone: 865-974-0927 Office Fax: 865-974-5483 Areas of Interest Analog/mixed-signal integrated circuit design for extreme environments (both wide temperature and radiation) across multiple semiconductor technologies Ultra-low power (nano-Watt level) analog IC design for signal processing and computation Multi-channel monolithic instrumentation systems Gate drive integrated circuits for wide bandgap power electronics. Education BS in Electrical Engineering, The University of Tennessee, 1991 MS in Electrical & Computer Engineering, Georgia Institute of Technology, 1993 PhD in Electrical & Computer Engineering, Georgia Institute of Technology, 1996 PhD Dissertation: A 1-Volt CMOS Wide Dynamic Range Operational Amplifier Background Benjamin J. Blalock is the Blalock-Kennedy-Pierce Professor in the Department of Electrical Engineering and Computer Science at the University of Tennessee where he directs the Integrated Circuits and Systems Laboratory (ICASL). He received his B.S. degree in electrical engineering from the University of Tennessee, Knoxville, in 1991 and the M.S. and Ph.D. degrees, also in electrical engineering, from the Georgia Institute of Technology, Atlanta, in 1993 and 1996 respectively. Dr. Blalock has received numerous teaching and research awards at UT, including: 2017 Alexander Prize for exceptional undergraduate teaching and distinguished scholarship, The University of Tennessee 2015 College of Engineering Outstanding Faculty Advisor Award, The University of Tennessee 2015 College of Engineering Research Achievement Award, The University of Tennessee Blalock-Kennedy-Pierce Professorship in Analog Electronics, July 2013-present 2011 College of Engineering Teaching Fellow 2009 Gonzalez Family Award for Excellence in Teaching His research focus at UT includesanalog/mixed-signal integrated circuit design for extreme environments (both wide temperature and radiation) across multiple semiconductor technologies; ultra-low power (nano-Watt level) analog IC design for signal processing and computation; multi-channel monolithic instrumentation systems; and gate drive integrated circuits for wide bandgap power electronics. Dr. Blalock has co-authored over 200 refereed papers. During the 2007 IEEE Nuclear Science and Radiation Effects Conference (NSREC) he taught a short course on Radiation Effects on Analog Integrated Circuits and Extreme Environment Design. He has also worked as an analog IC design consultant for Cypress Semiconductor, Concorde Microsystems, and Global Power Electronics. Dr. Blalock is a senior member of the IEEE. Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4626.txt b/src/data/compiled_bios/4626.txt new file mode 100644 index 0000000000..fae82701e7 --- /dev/null +++ b/src/data/compiled_bios/4626.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. Qing Charles Cao Associate Professor Contact Information Email: qcao1@utk.edu Web: EECS Mailing Address: Min H. Kao Building, Room 430 1520 Middle Drive Knoxville, TN 37996-2250 Office Phone: 865-974-5417 Office Fax: 865-974-5483 Areas of Interest Networked Embedded systems Wireless sensor networks Operating systems Wireless networking Embedded Software Education Ph.D. in Computer Science, University of Illinois at Urbana-Champaign, 2008 M.S. in Computer Science, University of Virginia, 2005 B.S. in Computer Science, Fudan University, Shanghai, China, 2002 Background Dr. Cao received his Ph.D. degree in Computer Science from the University of Illinois in 2008, and M.S. degrees in Computer Science from the University of Virginia in 2005, and B.S. degree from Fudan University, P. R. China, in 2002, respectively. From 2008 to 2009, he worked as a postdoctoral researcher in the University of Illinois. As an experimental computer science researcher, his research passion lies in creating novel and practical system solutions for real world problems. His research interests include networked embedded systems, wireless sensor networks, operating systems, wireless networking, and embedded software. He is now an Assistant Professor in the Department of Electrical Engineering and Computer Science (EECS) at the University of Tennessee, Knoxville. Dr. Cao is a recipient of the Vodafone Fellowship during his Ph.D. studies. He is the author and co-author of over 25 papers in premier journals and conferences. These papers include one best paper award candidate in ACM Sensys 2008. He is a member of both ACM and the IEEE Computer Society. He serves as program committee members for conferences including IPSN 2010, HiPC 2009, EUC 2009. Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4627.txt b/src/data/compiled_bios/4627.txt new file mode 100644 index 0000000000..1fbdaff2f5 --- /dev/null +++ b/src/data/compiled_bios/4627.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. Daniel Costinett Assistant Professor Contact Information Email: daniel.costinett@utk.edu Web: EECS CURENT Mailing Address: Min H. Kao Building, Room 502 1520 Middle Drive Knoxville, TN 37996-2250 Office Phone: 865-974-3572 Office Fax: 865-974-5483 Areas of Interest Power Electronics Soft Switching Converters Electric Vehicles Education Ph.D in Electrical Engineering, University of Colorado Boulder, 2013 M.S. in Electrical Engineering, University of Colorado Boulder, 2011 B.S in Electrical Engineering, University of Colorado Boulder, 2011 Background Daniel Costinett is an Assistant Professor in the Department of Electrical Engineering and Computer Science at the University of Tennessee Knoxville. He received his Ph.D. degree in Electrical Engineering at the University of Colorado at Boulder in 2013. In 2012, he assisted with research and course development as an instructor at Utah State University. His research interests include resonant and soft switching power converter design, high efficiency converters for data centers, energy harvesting, implantable devices, and electric vehicles. Dr.Costinettis a member of the NSF Engineering Research Center CURENT . Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4628.txt b/src/data/compiled_bios/4628.txt new file mode 100644 index 0000000000..4e9c847c67 --- /dev/null +++ b/src/data/compiled_bios/4628.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. Judy Day Associate Professor Contact Information Email: judyday@utk.edu Web: EECS Mailing Address: Min H. Kao Building, Room 301 1520 Middle Drive Knoxville, TN 37996-2250 Office Phone: 865-974-8491 Office Fax: 865-974-5483 Areas of Interest Dynamical systems Acute inflammation/immunology Model predictive control Translational medicine Transient dynamics Education Ph.D. in Mathematics, University of Pittsburgh, Pittsburgh, PA, 2007 B.Sc. in Mathematics & Computer Information Systems, Mount Union College, Alliance, Ohio, 2000 Background Judy Day currently holds a joint faculty position as an assistant professor in the Department of Mathematics and the Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville. She received her Ph.D. in Mathematics from the University of Pittsburgh in 2007 and spent the following three years as a postdoctoral fellow at the Mathematical Biosciences Institute in Columbus, OH. Dr. Days primary research is focused on the development and analysis of mathematical models relating to the immune response to various stimuli and the application of control methodologies to modulate the immune response with therapeutic inputs. Her interests are motivated by the potential of mathematical and engineering techniques to assist in answering vital questions in the medical field. Dr. Days objective is to conduct research within an interdisciplinary group to promote a symbiotic relationship among the various areas of expertise in hopes of acquiring results and developing tools of clinical relevance and academic significance. Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4629.txt b/src/data/compiled_bios/4629.txt new file mode 100644 index 0000000000..69e899e5f3 --- /dev/null +++ b/src/data/compiled_bios/4629.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. Mark Dean Interim Dean and Fisher Distinguished Professor Contact Information Email: markdean@utk.edu Web: EECS Mailing Address: Min H. Kao Building, Room 319 1520 Middle Drive Knoxville, TN 37996-2250 Office Phone: 865-974-5784 Office Fax: 865-974-5483 Areas of Interest Advanced Computer Architectures cognitive system devices, structures, architectures and learning models, non-Von Neumann data-centric computer architectures and programming models Big Data Systems deep Q/A systems, evidence based delivery of information and services Computational Science improved utilization of high performance computing to support scientific study and exploration Education Ph.D. Electrical Engineering, Stanford University, Stanford, CA (9/89 6/92) Thesis: STRiP, A Self-Timed RISC Processor Architecture Course work: Computer/processor architecture, VLSI design, and parallel system architecture Thesis Advisor: Dr. Mark Horowitz M.S. Electrical Engineering, Florida Atlantic University, Boca Raton, FL (1/80 4/82) Thesis Project: Design of a Low-Cost Graphics Terminal B.S. Electrical Engineering, University of Tennessee, Knoxville, TN (9/75 9/79) Graduated with Highest Honors Background Dr. Mark E Dean is a John Fisher Distinguished Professor at the University of Tennessee College of Engineering. His research focus is in advanced computer architecture (beyond Von Neumann systems), data centric computing and computational sciences. Prior to joining UT, Dr. Dean was Chief Technology Officer of the Middle East and Africa for IBM and an IBM Fellow. In this role he was responsible for technical strategy, technical skills development and exploring new technology based solutions for the region. These responsibilities include the development of solutions specific for the emerging needs of the businesses and cultures in industry segments such as mobile services (banking, healthcare, education, government), natural resource management (oil, gas, mining, forest, water), cloud based business services, and security (fraud protection, risk management, privacy, cybersecurity). Dr. Dean was also vice president World Wide Strategy and Operations for IBM Research. In this role, he was responsible for setting the direction of IBMs overall Research Strategy across eight worldwide labs and leading the global operations and information systems teams. These responsibilities include management of the divisions business model, research strategy, hiring, university relations, internal/external recognition, personnel development, innovation initiatives and the divisions operations. During his career, Dr. Dean has developed all types of computer systems, from embedded systems to supercomputers, including testing of the first gigahertz CMOS microprocessor, and establishing the team that developed the Blue Gene supercomputer. He was also chief engineer for the development of the IBM PC/AT, ISA systems bus, PS/2 Model 70 & 80, the Color Graphics Adapter in the original IBM PC, and holds three of the nine patents for the original IBM PC. One invention the Industry Standard Architecture (ISA) bus, which permitted add-on devices like the keyboard, disk drives and printers to be connected to the motherboard would earn election to the National Inventors Hall of Fame for Dean and colleague Dennis Moeller. Dr. Dean received a BSEE degree from the University of Tennessee in 1979, an MSEE degree from Florida Atlantic University in 1982, and a Ph.D. in Electrical Engineering from Stanford University in 1992. Dr. Deans most recent awards include: National Institute of Science Outstanding Scientist Award, member of the American Academy of Arts and Sciences, member of the National Academy of Engineering, IEEE Fellow, Black Engineering of the Year, the University of Tennessee COE Dougherty Award, member of the National Inventors Hall of Fame, and recipient of the Ronald H. Brown American Innovators Award. Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/463.txt b/src/data/compiled_bios/463.txt new file mode 100644 index 0000000000..4b9c8cac04 --- /dev/null +++ b/src/data/compiled_bios/463.txt @@ -0,0 +1 @@ +Andrew Drucker Assistant Professor of Computer Science University of Chicago I study theoretical computer science. In 2015 I joined the CS Department of the University of Chicago. My CV: pdf Email: andy.drucker@gmail.com Professional service: PC member for ITCS\'13, FOCS\'14, CCC\'15, FOCS\'16, STOC \'17, ITCS\'18. Please READ THIS before contacting me with requests for postdocs, other jobs, or advice. Thank you. Papers:Available here (with selected slides) Teaching: Winter 2019: Theory of Algorithms (Sections 1 & 2) Spring 2018: Constructive and Nonconstructive Methods in Combinatorics and TCS (Topics in Theoretical Computer Science) Winter 2018: Honors Theory of Algorithms Spring 2017: Theory of Algorithms Winter 2017: Honors Theory of Algorithms Fall 2016: Analysis and Approximation of Boolean Functions (Topics in Theoretical Computer Science) Spring 2016: Honors Theory of Algorithms Winter 2016: Theory of Algorithms Fall 2015: Circuit Complexity (Topics in Theoretical Computer Science) My research: I have broad interests, with a focus on computational complexity---the study of the inherent limits of efficient computation. Specific interests include: achieving a better understanding of the limits of powerful algorithmic paradigms for solving NP-hard problems, such as kernelization (efficient preprocessing of the input) and intelligent random guessing to obtain solutions; the study of non-standard proof systems, which incorporate features like interaction with provers, probabilistic verification, and the manipulation of quantum states; prospects and limits to efficient joint computation, in cases where we have multiple computational tasks to perform simultaneously, and where we may hope cleverly combine computations to make them more efficient and reliable. Outside of complexity theory, I\'ve worked on problems in prediction and polynomial approximation. I also have a personal interest in using algorithmic ideas to better understand the power of human memory. diff --git a/src/data/compiled_bios/4630.txt b/src/data/compiled_bios/4630.txt new file mode 100644 index 0000000000..2b2cec9358 --- /dev/null +++ b/src/data/compiled_bios/4630.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. Seddik M. Djouadi Professor Contact Information Email: mdjouadi@utk.edu Web: EECS Mailing Address: Min H. Kao Building, Room 640 1520 Middle Drive Knoxville, TN 37996-2250 Office Phone: 865-974-5447 Office Fax: 865-974-5483 Areas of Interest Robust and Distributed Control Control of Biological Processes Modeling of Wireless Systems Networked Control Systems Preferential Image Segmentation and Video Tracking Model Reduction and Control of Fluid Flows Education Ph.D. in Electrical Engineering, McGill University, Montreal, Quebec, Canada, 1999 M.A.S. in Electrical Engineering, Ecole Polytechnique, University of Montreal, Montreal, Quebec, Canada, 1992 B.S. in Electrical Engineering, Ecole Nationale Polytechnique, Algiers, Algeria, 1989 Background Patents Patent No.: US 7,030,808 B1, NonLinear Target Recognition, granted April 18, 2006, with D.W. Repperger and E. Alderman. AF Invention # AFD-0683, Highly Sensitive Nonlinear Target Recognition Device Based on Principles of Potential Energy and Force, granted November 13, 2003, with D.W. Repperger and E. Alderman. Awards and Honors Selected by Automatica as an outstanding reviewer for 2006-2007 (Automatica is a major journal in the control area. From a pool of 1300 reviewers only 25 were selected as outstanding reviewers.) Best paper award in the 1st Mediterranean Conference on Intelligent Systems and Automation, held from June 30 to July 2, 2008 in Annaba, Algeria. US Air Force Office of Scientific Research Summer Faculty Fellowship, March 2007. US Air Force Office of Scientific Research Summer Faculty Fellowship, March 2006. Ralph E. Powe Junior Faculty Enhancement award 2005 Selected by Automatica as an outstanding reviewer for 2003-2004 (Automatica is a major journal in the control area. From a pool of 1350 reviewers only 40 were selected as outstanding reviewers.) National Academy of Science/US Air Force Office of Scientific Research Summer Faculty Fellowship, March 2003 National Academy of Science/US Air Force Office of Scientific Research Summer Faculty Fellowship, March 2002 National Academy of Science/US Air Force Office of Scientific Research Summer Faculty Fellowship, April 2001 National Research Council/Air Force Research Laboratory Associateship Award, January 2000 Member of the American Flywheel Systems, Inc. Team Winner of the Tibbets Award, October 1999 American Control Conference, Best Student Paper Certificate (best five in competition), June 1998 Ecole Polytechnique of Montreal, AECSP scholarship (awarded to the three best master students of the year) 1991 Scholarship from the Algerian Ministry of Higher Education 1990-1992 (After ranking first in a national screening test in Automatic Control taken by students selected nationwide March 1989.) Ecole Nationale Polytechnique, First Class honors and best student prize in Electrical Engineering in 1987, 1988 and 1989 Amara Rachid High School, prize of excellence 1984 Professional Memberships IEEE Control Systems Society, Information Theory, Communications and Signal Processing, and the Image Processing Societies The American Mathematical Society Mathematical Association of America Socit Mathmatique de France Publications S.M. Djouadi, Optimal Disturbance Rejection and Robustness for LTV Systems, submitted to the IEEE Transactions on Automatic Control. S.M. Djouadi and C.D. Charalambous, Time-Varying Optimal Disturbance Minimization in the Presence of Plant Uncertainty, in press SIAM Journal on Optimization and Control. S.M. Djouadi, M.M. Olama and Y. Li, Optimal Approximation of the Impulse Response of Wireless Channels by Stochastic Differential Equations, IEEE Signal Processing letters, vol. 15, Nov. 2008, pp. 896-899. C.D. Charalambous, S.M. Djouadi and C. Kourtellaris, Statistical Analysis of Multipath Fading Channels using Generalizations of Shot-Noise, EURASIP Journal on Wireless Communications and Networking, , vol. 2008, Article ID 186020, 9 pages. J. Sun and S.M. Djouadi, Robust Stabilization over Communication Channels in the Presence of Unstructured Uncertainty, IEEE Transactions on Automatic Control, Vol. 54, No. 4, April 2009, pp. 830-934. S.Z. Denic, C.D. Charalambous and S. M. Djouadi, Information Theoretic Bounds for Compound MIMO Gaussian Channels, IEEE Transactions on Information Theory, Vol. 55, No. 4, April 2009, pp. 1603-1617. Y. Pan, J.D. Birdwell and S.M. Djouadi, Preferential Image Segmentation using the Trees of Shapes, IEEE Transactions on Image Processing, Vol. 18, No. 4, April 2009, pp. 854-866. M. Olama, S.M. Djouadi, C.D. Charalambous, Stochastic Differential Equations for Modeling, Estimation and Identification of Mobile-to-Mobile Communication Channels, IEEE Transactions on Wireless Communications, Vol. 8, No. 4, April 2009, pp. 1754-1763. S.M. Djouadi, On the Optimality of the Proper Orthogonal Decomposition and Balanced Truncation,Proceedings of the 47th IEEE Conference on Decision and Control, Cancun, Mexico, December 2008, pp. 4221- 4226. M. Olama, S.M. Djouadi, C.D. Charalambous, Position and Velocity Tracking in Mobile Networks Using Particle and Kalman Filtering with Comparison, IEEE Transactions on Vehicular Technology, Vol. 57, No. 2, March 2008, pp. 1001-1010. X. Ma, S.M. Djouadi, T. Kuruganti, J. Nutaro, and A. Drira, Estimation over Unreliable Communication Links without Arrival Information of Packet Losses, AIP Conf. Proc. -March 5, 2009 Volume 1107, pp. 243-248. Intelligent Systems and Automation: 2nd Mediterranean Conference on Intelligent Systems and Automation (CISA09); doi:10.1063/1.3106480 S. Sahyoun, S.M. Djouadi, H. Qi, and A. Drira, Source Localization using Stochastic Approximation and Least Squares Methods, AIP Conf. Proc. March 5, 2009 Volume 1107, pp. 59-64, Intelligent Systems and Automation: 2nd Mediterranean Conference on Intelligent Systems and Automation (CISA09); doi:10.1063/1.3106513. M. Olama, Y. Li, S.M. Djouadi and C.D. Charalambous, Stochastic Wireless Channel Modeling, Estimation and Identification from Measurements, Proceedings of 1st Mediterranean Conference on Intelligent Systems and Automation, June 30-July 2, 2008. (Best paper award.) S.M. Djouadi, R.C. Camphouse and J.H. Myatt, read more Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4631.txt b/src/data/compiled_bios/4631.txt new file mode 100644 index 0000000000..eefbb216d3 --- /dev/null +++ b/src/data/compiled_bios/4631.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. Jack Dongarra Distinguished Professor; Director, Innovative Computing Laboratory Contact Information Email: dongarra@utk.edu Web: Netlib Mailing Address: 203 Claxton Complex 1122 Volunteer Blvd Knoxville, TN 37996-3450 Office Phone: 865-974-8295 Office Fax: 865-974-8296 Areas of Interest Scientific computing Numerical linear algebra Parallel processing Software tools Mathematical software and software repositories Education B.S. in Mathematics, Chicago State University, 1972 M.S. in Computer Science, Illinois Institute of Technology, 1972 Ph.D in Applied Mathematics, University of New Mexico, 1980 Background Jack Dongarra received a Bachelor of Science in Mathematics from Chicago State University in 1972 and a Master of Science in Computer Science from the Illinois Institute of Technology in 1973. He received his Ph.D. in Applied Mathematics from the University of New Mexico in 1980. He worked at the Argonne National Laboratory until 1989, becoming a senior scientist. He now holds an appointment as University Distinguished Professor of Computer Science in the Computer Science Department at the University of Tennessee, has the position of a Distinguished Research Staff member in the Computer Science and Mathematics Division at Oak Ridge National Laboratory (ORNL), Turing Fellow in the Computer Science and Mathematics Schools at the University of Manchester, and an Adjunct Professor in the Computer Science Department at Rice University. He specializes in numerical algorithms in linear algebra, parallel computing, the use of advanced-computer architectures, programming methodology, and tools for parallel computers. His research includes the development, testing and documentation of high quality mathematical software. He has contributed to the design and implementation of the following open source software packages and systems: EISPACK, LINPACK, the BLAS, LAPACK, ScaLAPACK, Netlib, PVM, MPI, NetSolve, Top500, ATLAS, and PAPI. He has published approximately 300 articles, papers, reports and technical memoranda and he is coauthor of several books. He was awarded the IEEE Sid Fernbach Award in 2004 for his contributions in the application of high performance computers using innovative approaches; in 2008 he was the recipient of the first IEEE Medal of Excellence in Scalable Computing; in 2010 he was the first recipient of the SIAM Special Interest Group on Supercomputings award for Career Achievement; in 2011 he was the recipient of the IEEE Charles Babbage Award; and in 2013 he was the recipient of the ACM/IEEE Ken Kennedy Award for his leadership in designing and promoting standards for mathematical software used to solve numerical problems common to high performance computing. He is a Fellow of the AAAS, ACM, IEEE, and SIAM and a foreign member of the Russian Academy of Sciences and a member of the US National Academy of Engineering. Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4632.txt b/src/data/compiled_bios/4632.txt new file mode 100644 index 0000000000..b9e431d846 --- /dev/null +++ b/src/data/compiled_bios/4632.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. Scott Emrich Associate Professor Contact Information Email: semrich@utk.edu Web: EECS Mailing Address: Min H. Kao Building, Room 608 1520 Middle Drive Knoxville, TN 37996-2250 Office Phone: 865-974-3891 Office Fax: 865-974-5483 Areas of Interest Genome-focused bioinformatics High-throughput and parallel computing Life science applications Education Ph.D. in Bioinformatics and Computational Biology, Iowa State University, Ames, IA B.S. in Biology and Computer Science, Loyola College, Baltimore, MD Background Prior to joining the faculty of the University of Tennessee, Scott Emrich was the Director of Bioinformatics at the University of Notre Dame with a primary faculty appointment in Computer Science and Engineering and a courtesy appointment in Biological Sciences. He obtained his B.S. in Biology and Computer Science from Loyola College (MD) and his Ph.D. in Bioinformatics and Computational Biology from Iowa State University, where he was the recipient of the 2008 Zaffrano Prize for Graduate Research. His research focuses on computational genomics/sequence analysis and related informatics with an emphasis on global health and ecological applications. He has published over 75 peer-reviewed publications including venues such as Science (2 covers), PNAS, Nature and Genome Research. He has four active awards from the NIH including leading roles on a NIAID contract (VectorBase) and a 2017 funded P01 (malaria genetics). Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4633.txt b/src/data/compiled_bios/4633.txt new file mode 100644 index 0000000000..e6380a74e7 --- /dev/null +++ b/src/data/compiled_bios/4633.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. Aly Fathy Professor Contact Information Email: afathy@utk.edu Web: EECS Mailing Address: Min H. Kao Building, Room 609 1520 Middle Drive Knoxville, TN 37996-2250 Office Phone: 865-974-5463 Office Fax: 865-974-5483 Areas of Interest Electromagnetics Antennas Microwave Circuits Propagation UWB system Education Ph.D. in Electrical Engineering, Polytechnic Institute Of New York, 1984 M.S. in Electrical Engineering, Ain Shams University, Cairo, Egypt, 1980 B.S. in Pure & Applied Mathematics, Ain Shams University, Cairo, Egypt, 1979 B.S. in Electrical Engineering (Honors), Ain Shams University, Cairo, Egypt, 1979 Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4634.txt b/src/data/compiled_bios/4634.txt new file mode 100644 index 0000000000..afef191016 --- /dev/null +++ b/src/data/compiled_bios/4634.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. Jens Gregor Professor, Associate Department Head Contact Information Email: jgregor@utk.edu Web: EECS Mailing Address: Min H. Kao Building, Room 311 1520 Middle Drive Knoxville, TN 37996-2250 Office Phone: 865-974-4399 Office Fax: 865-974-5483 Areas of Interest Pattern and image analysis Computed imaging Education Ph.D. in Electrical Engineering, Aalborg University, Denmark M.S. in Electrical Engineering, Aalborg University, Denmark Background Dr Gregorsresearch spans the fields of pattern recognition, image reconstruction and parallel computing. This work has been published in a combined total of more than 80 journal articles, conference papers, and book chapters. He has developed and implemented statistical and algebraic imaging algorithms for medical and preclinical applications as well as waste management and non-destructive testing applications for several different data modalities including x-ray CT, SPECT, PET and neutron CT. He received the EECS Gonzalez Award for Teaching in 2010 and the College of Engineering Allen & Hoshall Faculty Award in 2015. Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4635.txt b/src/data/compiled_bios/4635.txt new file mode 100644 index 0000000000..68eda44a33 --- /dev/null +++ b/src/data/compiled_bios/4635.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. Gong Gu Professor Contact Information Email: ggu1@utk.edu Web: EECS Mailing Address: Min H. Kao Building, Room 545 1520 Middle Drive Knoxville, TN 37996-2250 Office Phone: 865-974-5443 Office Fax: 865-974-5483 Areas of Interest Two-dimensional (2D) materials growth and physics Novel electronic devices based on emerging materials (e.g. 2D materials, organic semiconductors) Interdisciplinary junction of physics, materials science, and electrical engineering Education Ph.D. in Electrical Engineering, Princeton University, 1999 B.S. in Electrical Engineering, Tsinghua University, Beijing, China, 1991 Background From 1999 to 2010, Dr. Gu worked at Sarnoff Corporation, Princeton, NJ. His current research interest is in graphene-based devices for RF and other applications. He also has extensive experience with organic semiconductor electronic and optoelectronic devices. Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4636.txt b/src/data/compiled_bios/4636.txt new file mode 100644 index 0000000000..0718110526 --- /dev/null +++ b/src/data/compiled_bios/4636.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. Austin Henley Assistant Professor Contact Information Email: azh@utk.edu Web: EECS Mailing Address: Min H. Kao Building, Room 353 1520 Middle Drive Knoxville, TN 37996-2250 Office Phone: 865-974-8966 Office Fax: 865-974-5483 Areas of Interest Software engineering Human-computer interaction Developer productivity Education Ph.D., Computer Science, University of Memphis, 2018 M.S., Computer Science, University of Memphis, 2013 Background Dr. Austin Henley is an Assistant Professor in the EECS department at the University of Tennessee, Knoxville. He received his bachelors degree in 2011 from Austin Peay State University in Clarksville, Tennessee, before attending the University of Memphis where he received his masters in 2013 and Ph.D. in 2018, all in Computer Science. Dr. Henleys research focuses on the human aspects of software engineering. He conducts empirical studies to better understand the behavior of software developers, and then builds software tools to make developers more productive. In particular, his dissertation addressed problems developers face when navigating source code by extending code editors with more efficient affordances for navigation. He has applied his research to industrial settings during his five internships, which included Microsoft Research, National Instruments, and IBM Research. His current research interests include supporting collaborative software development as well as the learnability of software development tools. Towards being an effective teacher, Dr. Henley took a number of graduate-level Educational Psychology courses. He was able to apply this knowledge when he taught as an Instructor for an undergraduate Operating Systems course in 2016. Moreover, he was the departmental Graduate Student Association President which gave him ample experience in mentoring fellow graduate students. Moving forward, he strives to apply findings from CS Education research to his teaching to better equip students in their careers. Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4637.txt b/src/data/compiled_bios/4637.txt new file mode 100644 index 0000000000..0941fd2b81 --- /dev/null +++ b/src/data/compiled_bios/4637.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. Jian Huang Professor Contact Information Email: huangj@utk.edu Web: EECS Mailing Address: Min H. Kao Building, Room 323 1520 Middle Drive Knoxville, TN 37996-2250 Office Phone: 865-974-4398 Office Fax: 865-974-5483 Areas of Interest Large data visualization Ultrascale visualization for time-varying and multivariate data Parallel, remote and distributed visualization Large scale parallel visualization systems Education Ph.D. fromOhio State University Background Dr. Huangs research expertise includes ultrascale scientific visualization areas such as large data visualization, multivariate data visualization and time-varying data visualization, as well as systems oriented areas of visualization such as parallel, distributed, remote and collaborative visualization. His research has been funded by Department of Energy, National Science Foundation, NASA and UT-Battelle. Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4638.txt b/src/data/compiled_bios/4638.txt new file mode 100644 index 0000000000..d9b64d53ab --- /dev/null +++ b/src/data/compiled_bios/4638.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. Michael Jantz Assistant Professor Contact Information Email: mrjantz@utk.edu Web: EECS Mailing Address: Min H. Kao Building, Room 605 1520 Middle Drive Knoxville, TN 37996-2250 Office Phone: 865-974-5470 Office Fax: 865-974-5483 Areas of Interest Virtual Machines Operating Systems Compilers Program Optimization Performance and Power Efficiency Education PhD in Computer Science, University of Kansas, Lawrence, KS, 2014 MS in Computer Science, University of Kansas, Lawrence, KS, 2010 BS in Computer Science, University of Kansas, Lawrence, KS, 2008 Background Michael Jantz is an Assistant Professor in the EECS department at the University of Tennessee. He received his B.S. (2008), M.S. (2010) and Ph.D. (2014) degrees in Computer Science, all from the University of Kansas (KU). As a graduate student at KU, he became interested in research topics in compilers and runtime systems. In 2012, he began collaborating with researchers at Intel Corporation to develop novel memory management techniques that enable applications to use memory more efficiently. His current research explores innovative system tools and techniques to bring about faster, safer, and more efficient execution of software on modern architectures. During his time at KU, Dr. Jantz taught six semesters as an assistant for the Introduction to Operating Systems course. He also served for three years as President of the KU Beta Chapter of Upsilon Pi Epsilon, an honors society that promotes and rewards high scholarship in computing disciplines. His current teaching mission at the University of Tennessee is to make computing science, especially large and complex software systems, accessible to young students. Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4639.txt b/src/data/compiled_bios/4639.txt new file mode 100644 index 0000000000..696a1b5724 --- /dev/null +++ b/src/data/compiled_bios/4639.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. Michael A. Langston Professor Contact Information Email: langston@tennessee.edu Web: EECS Mailing Address: Min H. Kao Building, Room 642 1520 Middle Drive Knoxville, TN 37996-2250 Office Phone: 865-974-3534 Office Fax: 865-974-5483 Areas of Interest Big Data Analytics Graph Theoretical Algorithms Life Science Applications Education Ph.D. in Computer Science, Texas A&M University, 1981 Background Dr. Langstons current research interests include big data analytics, combinatorial optimization, computer science, data science, defense and life science applications, graph theoretical algorithms, high performance implementations, machine learning and statistical software. He is perhaps best known for his long-standing research on combinatorial algorithms, complexity theory and design paradigms for sequential and parallel computation. In recent years, his work has found broad application in computational biology and the study of health disparities. In addition to maintaining his research program, he regularly teaches courses on algorithm design, automata theory, fixed parameter tractability, graph theory and related subjects. Dr. Langston has authored over 400 journal articles, conference papers, book chapters and other reports. The National Science Foundation, the National Institutes of Health, the Department of Defense, the Department of Energy, the Environmental Protection Agency and a variety of other federal agencies have funded his work in the U.S. The Australian Research Council and the European Commission have supported his research overseas. He has served on an assortment of editorial boards, including the Association for Computing Machinerys flagship publication, Communications of the ACM. Recent awards include the College of Engineering Faculty Research Fellow Award, 2012, and the University of Tennessee Chancellors Award for Research and Creative Achievement, 2014. Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/464.txt b/src/data/compiled_bios/464.txt new file mode 100644 index 0000000000..36653587ec --- /dev/null +++ b/src/data/compiled_bios/464.txt @@ -0,0 +1 @@ +Aaron J. Elmore About Publications Teaching Contact Aaron J. Elmore is an Assistant Professor in the Department of Computer Science, and the College of the University of Chicago. Aaron was previously a Postdoctoral Associate at MIT working with Mike Stonebraker on elastic and multitenant database systems, and Sam Madden on the DataHub project. Aaron\'s thesis on Elasticity Primitives for Database-as-a-Service was completed at the University of California, Santa Barbara under the supervision of Divy Agrawal and Amr El Abbadi. Prior to receiving a PhD, Aaron spent several years in industry and completed an MS at the University of Chicago. His research interests include elastic systems, database multitenancy, live data migration, cloud computing, and making data management easier for other scientific domains. Prospective Students: I am unavailable to comment on any applications, but if you are interested in pursuing a PhD in data management, or systems research in general, I strongly encourage you to apply to UChicago. The department is rapidly growing in systems and has a strong presence in theory and machine learning. News: I will be speaking at SIAM and DeMist July 2017 on collaborative analytics and elastic databases respectively. Database research at UChicago is growing! Mike Franklin is joining UChicago as chair! I will be co-chair with Alvin Cheung for the SIGMOD 2017 Student Research Competition. Alvin Cheung and I are also co-chairs for VLDB 2017 Proceedings. I will be co-chair for SIGMOD 2016 Demonstrations Track. On April 30th I will be hosting an ACM webinar with Turing award winner Mike Stonebraker. Register Here diff --git a/src/data/compiled_bios/4640.txt b/src/data/compiled_bios/4640.txt new file mode 100644 index 0000000000..7357e3f75f --- /dev/null +++ b/src/data/compiled_bios/4640.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. Fangxing Fran Li James W. McConnell Professor Contact Information Email: fli6@utk.edu Web: EECS , CURENT Mailing Address: Min H. Kao Building, Room 523 1520 Middle Drive Knoxville, TN 37996-2250 Office Phone: 865-974-8401 Office Fax: 865-974-5483 Areas of Interest Power Systems Engineering and Economics Education Ph.D from Virginia Tech, 2001 M.S. in Electrical Engineering, Southeast University, Nanjing, China, 1997 B.S. in Electrical Engineering, Southeast University, Nanjing, China, 1994 Background Dr. Li is presently the James W. McConnell Professor in the Department ofElectrical Engineering and Computer Science (EECS) at The University ofTennessee. He also serves as the UT Campus Director for CURENT, an NSF/DOE Engineering Research Center. He is also an adjunct researcher at the OakRidge National Laboratory (ORNL). His current research interests includerenewable energy integration, demand response, distributed energy resources, energymarkets, reactive power, power system computing and synchrophasor-based technologies. Professor Li had worked at ABB Electrical System Consulting (ESC),a.k.a. ABB Consulting, in Raleigh, NC, from February 2001 to August 2005as a Senior Engineer and then a Principal Engineer before joining UT.During his employment at ABB, he has been significantly involved firstin power distribution systems and then in power market analysis,particularly in GridView related R&D and consulting service for powergeneration and transmission companies. He had also worked as a part-timeengineer at Electrical Distribution Design (EDD) Inc., Blacksburg, VAfrom 1998 to 2000 and an engineer intern at NARI (China) in 1997. He isa registered Professional Engineer (P.E.) in the state of North Carolina. Professor Li is a Fellow of IEEE (Class of 2017) and a Fellow of IET (formerly IET, elected in 2011). Also, he is serving or has served as an Editor or Editorial Board Member for a number of journals, such as: IEEE Transactions on Power Systems, IEEE Transactions on Sustainable Energy, IEEE PES Letters, IEEE Transactions on Smart Grid, IEEE Transactions on Industrial Informatics, Journal of Modern Power and Energy Systems, and CSEE Journal of Power and Energy Systems. He is presently serving as the Vice Chair for the IEEE PES PSOPE committee and in other positions within IEEE PES (Power and Energy Society). Professor Li has received a number of honors, such as the 2006 Eta Kappa Nu Outstanding Teacher Award at UT, UT EECS Faculty Early Career Fellowship Awards (2008, 2009 & 2010), 2009 UT College of Engineering Research Fellow Awards, 2011 UT Chancellors Award for Professional Promise in Research and Creative Achievement, 2013 EECS Gonzalez Family Award for Faculty Excellence in Research, 2015 UT College of Engineering Professional Promise in Research Award, 2015 IEEE PES Technical Committee Distinguished Service Award, an Outstanding Reviewer for IEEE Transactions on Power Systems in 2015. His research team has been honored with Best Conference Papers/Posters seven times at various conferences. Dr. Li is a member of the NSF/DOE Engineering Research Center CURENT. Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4641.txt b/src/data/compiled_bios/4641.txt new file mode 100644 index 0000000000..f0b65234b6 --- /dev/null +++ b/src/data/compiled_bios/4641.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. Husheng Li Associate Professor Contact Information Email: hli31@utk.edu Web: EECS Mailing Address: Min H. Kao Building, Room 644 1520 Middle Drive Knoxville, TN 37996-2250 Office Phone: 865-974-3861 Office Fax: 865-974-5483 Areas of Interest Wireless Communication and Networks Statistical Signal Processing Information Theory Theory of Random Matrices Education Ph.D. in Electrical Engineering, Princeton University, 2005 M.S. in Electrical Engineering, Tsinghua University, 2000 B.S. in Electrical Engineering, Tsinghua University, 1998 Ph.D. Thesis: Performance Analysis of Multiuser Detection Based Receivers in Fading CDMA Channels Thesis Advisor: Prof. H. Vincent Poor Background Husheng Li received the B.S. and M.S. degrees in electronic engineering fromTsinghua University, Beijing, China, in 1998 and 2000, respectively, andthe Ph.D. degree in electrical engineering from Princeton University in 2005. From 2005 to 2007, he worked as a seniorengineer at Qualcomm Inc., San Diego, Calif. In 2007, he joined the EECSdepartment of the University of Tennessee, Knoxville, as anassistant professor. His research is mainly focused on statistical signal processing,wireless communications, networking and information theory. He is alsointerested in the theory of random matrices. Dr. Li is the recipient of the Best Paper Award of EURASIP Journal ofWireless Communications and Networks, 2005 (together with his Ph.D.advisor: Prof. H. V. Poor). Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4642.txt b/src/data/compiled_bios/4642.txt new file mode 100644 index 0000000000..01eeff895d --- /dev/null +++ b/src/data/compiled_bios/4642.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. Yilu Liu Governors Chair Professor Contact Information Email: liu@utk.edu Web: FNET , PowerIT , CURENT Mailing Address: Min H. Kao Building, Room 511 1520 Middle Drive Knoxville, TN 37996-2250 Office Phone: 865-974-4129 Office Fax: 865-974-5483 Areas of Interest Power Systems Smart Grids Education Ph.D. in Electrical Engineering, The Ohio State University, USA, 1989 M.S. in Electrical Engineering, The Ohio State University, USA, 1986 B.S. in Electrical Engineering, Xian Jiaotong University, China, 1982 Background Dr. Liu is the Governors Chair Professor of ORNL/UTK, a member of National Academy of Engineering and Fellow of IEEE. She joined The University of Tennessee in August 2009 from Virginia Tech. She also has a joint appointment with Oak Ridge National Laboratory. Press Release Dr. Liu is a member of the NSF Engineering Research Center CURENT . Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4643.txt b/src/data/compiled_bios/4643.txt new file mode 100644 index 0000000000..9109a57364 --- /dev/null +++ b/src/data/compiled_bios/4643.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. Bruce MacLennan Associate Professor Contact Information Email: maclennan@utk.edu Web: EECS Mailing Address: Min H. Kao Building, Room 550 1520 Middle Drive Knoxville, TN 37996-2250 Office Phone: 865-974-0994 Office Fax: 865-974-5483 Areas of Interest Bio-inspired Computation Self-organization Algorithmic Nano-assembly Artificial Morphogenesis Education B.S. in Mathematics (with Honors), Florida State University, 1972 M.S. in Computer Science, Purdue University, 1974 Ph.D. in Computer Science, Purdue University, 1975 Background Dr. MacLennan joined Intel Corporation in 1975 where, as a Senior Software Engineer, he participated in the architectural design of the 8086and the iAPX-432 microprocessors. In 1979 he returned to academia, joining the Computer Science faculty of the Naval Postgraduate School(Monterey, CA), where he was Assistant Professor (1979-83), Associate Professor (1983-87), and Acting Chair (1984-85). At NPS heinvestigated novel models for massively parallel computing and artificial intelligence. Since 1987 he has been an Associate Professor in theDepartment of Computer Science (now Electrical Engineering and Computer Science) of the University of Tennessee, Knoxville. In the mid-80s, MacLennan redirected his research toward natural computation, that is, computation inspired by or occurring in nature. Onegoal has been to understand the representation and processing of information in the brains of humans and other animals and to investigatebrain-inspired computing technologies. This work is especially relevant to AI, but also to neuroscience, cognitive science, and philosophy, andso he is active in the interdisciplinary intersection of these research areas and collaborates with scholars in each of them. Since the mid-90s this research program has expanded to include self-organizing systems with very large numbers of physical components(e.g., the cells in a developing embryo) and the interaction of physical and computational processes. The latter includes the use ofcomputational principles in nanotechnology (algorithmic self-assembly) and the exploitation of novel physical processes for computation (post-Moores Law computing technologies). MacLennan has 100 refereed journal articles and book chapters, has authored two books (one in its third edition), and edited a third. In 2008,MacLennan was invited to become the founding Editor-in-Chief of the International Journal of Nanotechnology and Molecular Computation. Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4644.txt b/src/data/compiled_bios/4644.txt new file mode 100644 index 0000000000..bcd5460b57 --- /dev/null +++ b/src/data/compiled_bios/4644.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. Nicole McFarlane Associate Professor Contact Information Email: mcf@utk.edu Web: EECS Mailing Address: Min H. Kao Building, Room 552 1520 Middle Drive Knoxville, TN 37996-2250 Office Phone: 865-974-5419 Office Fax: 865-974-5483 Areas of Interest Mixed signal circuit design Biotechnology and bio-sensor design particularly for lab-on-chip applications Noise theory for electronic systems Energy and power trade-offs in mixed signal circuit design in particular studying the channel capacity of analog circuits Microfabrication and development of devices Education Ph.D. in Electrical Engineering, University of Maryland, College Park M.D., 2010 M.S. in Electrical Engineering, Howard University, Washington D.C., 2003 B.S. in Electrical Engineering, Howard University, Washington D.C., 2001 Background Nicole McFarlane received her Ph.D. from the University of Maryland, College Park in 2010 and received her bachelors and masters degree from Howard University in 2001 and 2003 respectively. She is currently an Assistant Professor in the Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville. Her research interests include mixed signal integrated circuit design, analysis of information and power efficiency tradeoffs in integrated circuit design, noise theory for electronic systems and development of biosensors for lab-on-chip applications. Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4645.txt b/src/data/compiled_bios/4645.txt new file mode 100644 index 0000000000..fe03b9a0e3 --- /dev/null +++ b/src/data/compiled_bios/4645.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. Audris Mockus Ericsson-Harlan Mills Chair Professor Contact Information Email: audris@utk.edu Web: EECS Mailing Address: Min H. Kao Building, Room 613 1520 Middle Drive Knoxville, TN 37996-2250 Office Phone: 865-974-2265 Office Fax: 865-974-5483 Areas of Interest Software Engineering Data Science Digital Archaeology Education PhD in Statistics, Carnegie Mellon University, Pittsburgh, PA, 1994 MS in Applied Mathematics, Moscow Institute of Physics and Technology, Moscow, 1991 BS in Applied Mathematics, Moscow Institute of Physics and Technology, Moscow, 1988 Background Audris Mockus received BS and MS degrees in applied mathematics from the Moscow Institute of Physics and Technology in 1988,the MS degree in 1991 and a PhD degree in statistics from Carnegie Mellon University in 1994. He studies software developersculture and behavior through the recovery, documentation, and analysis of digital remains. These digital traces reflect projectionsof collective and individual activity. He reconstructs the reality from these projections by designing data mining methods to summarizeand augment these digital traces, interactive visualization techniques to inspect, present, and control the behavior of teams and individuals,and statistical models and optimization techniques to understand the nature of individual and collective behavior. He is the Ericsson-Harlan Mills Chair Professorin the Department of Electrical Engineering and Computer Science of the University of Tennessee. He also continues to work part-time at Avaya LabsResearch. Previously he worked in the Software Production Research Department at Bell Labs. He is a member of the IEEE and ACM. Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4646.txt b/src/data/compiled_bios/4646.txt new file mode 100644 index 0000000000..81b8b0ec9d --- /dev/null +++ b/src/data/compiled_bios/4646.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. Arun Padakandla Assistant Professor Contact Information Email: arunpr@utk.edu Web: TBD Mailing Address: Min H. Kao Building, Room 607 1520 Middle Drive Knoxville, TN 37996-2250 Office Phone: 865-974-5414 Office Fax: 865-974-5483 Areas of Interest Data Science Privacy-preserving Data Analysis Security Information Theory Cybersecurity Communication Networks Optimization Statistical Inference Computation Complexity Education Ph.D. in Information Theory, University of Michigan, 2014 MSc. in Mathematics, University of Michigan, 2013 MSc. in Electrical Communication Engineering, Indian Institute of Science, Bangalore, 2008 Background Arun Padakandla received his M.S degree in Electrical Communication Engg (ECE) from the Indian Institute of Science (IISc), Bangalore in 2008. He received an M.S degree in Mathematics in 2013 and a Doctorate in Electrical Engg (Systems) in 2014, both from The University of Michigan (UMICH) at Ann Arbor. Following a short stint as a postdoctoral researcher at UMICH, Arun worked as a research engineer at Ericsson Research from Nov 2014 to Aug 2015. Arun held a center-wide postdoctoral research fellowship from 2015 to 2018 at the Center for Science of Information an NSF funded science and technology center located at Purdue University. Aruns research interests lie in information theory, optimization, learning and estimation, computational complexity. Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4647.txt b/src/data/compiled_bios/4647.txt new file mode 100644 index 0000000000..6fb3d59f92 --- /dev/null +++ b/src/data/compiled_bios/4647.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. Lynne E. Parker Professor Contact Information Email: leparker@utk.edu Web: EECS Mailing Address: Min H. Kao Building, Room 617 1520 Middle Drive Knoxville, TN 37996-2250 Office Phone: 865-974-4394 Office Fax: 865-974-5483 Areas of Interest Distributed mobile robotics Human-robot interaction Distributed intelligence Sensor networks Machine learning Embedded systems Multi-agent systems Education Ph.D. in Computer Science, Massachusetts Institute of Technology, 1994 M.S. in Computer Science, University of Tennessee, Knoxville, 1988 B.S. in Computer Science, Tennessee Technological University, 1983 Background Dr. Lynne E. Parker, a native Knoxvillian, is a Professor in the EECS Department, having joined UTK in 2002. At UTK, she is the founder and director of the Distributed Intelligence Laboratory, which performs research in multi-robot systems, sensor networks, machine learning, and human-robot interaction. She is also a visiting researcher in the Computer Science and Mathematics Division at Oak Ridge National Laboratory (ORNL), where she worked as a Distinguished Research and Development Staff Member for several years prior to joining UTK. She is also Assistant Director of the UT/ORNL Science Alliance, principally responsible for managing the UT-ORNL Joint Directed Research and Development Program. Dr. Parker is a leading international researcher in the field of distributed intelligence, and has published over 100 articles, including five edited books on the topic of distributed robotics. For this research, she was awarded the 2000 PECASE Award (Presidential Early Career Award for Scientists and Engineers). She is a Fellow of IEEE, selected for her contributions to distributed and heterogeneous multi-robot systems. She has served on numerous national and international advisory and review boards, including the National Research Councils Advisory Panel on Air and Ground Vehicle Technology and the NRCs Advisory Panel on Armor and Armaments, both of which oversee research at the Army Research Laboratory. She also served on the Strategic Advisory Commission for the European Commissions research program entitled Beyond Robotics, and frequently serves as a technical reviewer for the European Unions Information Society Technologies research programs. She has served as a Senior Editor of IEEE Transactions on Robotics, as well as an Associate Editor of IEEE Transactions on Robotics and Automation, IEEE Intelligent Systems Magazine, and the Swarm Intelligence journal. She serves on numerous international conference organization and program committees, and is an elected member of the Administrative Committee of the IEEE Robotics and Automation Society. Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4648.txt b/src/data/compiled_bios/4648.txt new file mode 100644 index 0000000000..8137f2c02d --- /dev/null +++ b/src/data/compiled_bios/4648.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. Gregory Peterson Professor and Department Head Contact Information Email: gdp@utk.edu Web: EECS Mailing Address: Min H. Kao Building, Room 401-C 1520 Middle Drive Knoxville, TN 37996-2250 Office Phone: 865-974-8147 Office Fax: 865-974-5483 Areas of Interest High Performance Computer Architectures Computational Science Performance Evaluation Computer Engineering Digital Systems Education D.Sc. in Electrical Engineering, Washington University, 1994 M.S. in Electrical Engineering, Washington University, 1992 M.S. in Computer Science, Washington University, 1992 B.S. in Electrical Engineering, Washington University, 1990 B.S. in Computer Science, Washington University, 1990 Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4649.txt b/src/data/compiled_bios/4649.txt new file mode 100644 index 0000000000..bd1e622bf5 --- /dev/null +++ b/src/data/compiled_bios/4649.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. James Plank Professor Contact Information Email: jplank@utk.edu Web: EECS Mailing Address: Min H. Kao Building, Room 320 1520 Middle Drive Knoxville, TN 37996-2250 Office Phone: 865-974-4397 Office Fax: 865-974-5483 Areas of Interest Fault-tolerance Erasure Codes Storage Systems Distributed Computing Operating Systems Education Ph.D. in Computer Science, Princeton University, 1993 M.S. in Computer Science, Princeton University, 1990 B.S. in Computer Science, Yale University, 1988 Background Jim Plank is a Professor in the EECS department at the University of Tennessee. Before the merger of ECE and CS, he was a professor in Computer Science since his graduation from Princeton in 1993. Professor Planks research interests are in fault-tolerant computing, specializing in storage systems, checkpointing systems, erasure coding and distributed computing. His current research mission is to declutter the landscape of erasure coding for distributed and wide-area storage applications. Professor Plank teaches all programming classes, from the initial fresman course up to graduate operating systems. He has won the departments teaching award seven times, the College of Arts and Sciences Senior Faculty teaching award and the Chancellors citation for excellence in teaching. Professor Plank is a member of the IEEE Computer Society, has served as an Associate Editor for IEEE TPDS, has chaired conferences in network storage and network applications, and has left a legacy of publicly available software that includes: Jgraph a graph-plotting package for PostScript Ickp a checkpointing utility for the Intel Paragon Libckpt a checkpointing utility for Unix IBP Network storage depots and their client code LoRS Tools for aggregation of network storage depots Galois.tar A library for fast Galois Field Arithmetic in C and C++ Rsclib Fast and flexible erasure coding for storage applications Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/465.txt b/src/data/compiled_bios/465.txt new file mode 100644 index 0000000000..dd0e36f4f6 --- /dev/null +++ b/src/data/compiled_bios/465.txt @@ -0,0 +1 @@ +Toggle navigation Borja Sotomayor About me Teaching MPCS Research Publications Other Activities Contact Borja Sotomayor Senior Lecturer Department of Computer Science University of Chicago Welcome to my University of Chicago page! I am a Senior Lecturer in the Department of Computer Science, where I teach intro CS, software development, computer networks, and distributed systems. I am also the Academic Director of the Masters Program in Computer Science. I am involved in a number of other activities on campus, such as being the faculty advisor to the departments student organizations and coaching our ICPC teams. I am not actively involved in research at the moment, but my research has primarily focused on resource allocation on distributed systems using virtualization. I have published a number of papers on those subjects and, more recently, I have also published some papers on Computer Science Education. 2018 Powered by the Academic theme for Hugo. Cite Copy Download hljs.initHighlightingOnLoad(); const search_index_filename = "/~borja/search.json"; const i18n = { \'placeholder\': "Search...", \'no_results\': "No results found" }; const content_type = { \'post\': "Posts", \'project\': "Projects", \'publication\' : "Publications", \'talk\' : "Talks" }; diff --git a/src/data/compiled_bios/4650.txt b/src/data/compiled_bios/4650.txt new file mode 100644 index 0000000000..dd07fd7154 --- /dev/null +++ b/src/data/compiled_bios/4650.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. Hector Pulgar Assistant Professor Contact Information Email: hpulgar@utk.edu Web: EECS Mailing Address: Min H. Kao Building, Room 549 1520 Middle Drive Knoxville, TN 37996-2250 Office Phone: 865-974-1213 Office Fax: 865-974-5483 Areas of Interest Power system dynamics and stability Power system operation and control Renewable energy integration Education PhD in Electrical Engineering, University of Illinois at Urbana-Champaign, 2010 MS in Electrical Engineering, Universidad de Concepcin, Chile, 2003 BS in Electrical Engineering, Universidad de Concepcin,Chile, 2000 Background Hector A. Pulgar is an Assistant Professor in the Department of Electrical Engineering and Computer Science at the University of Tennessee Knoxville since July 2014. He received his M.Sc. degree in Electrical Engineering at the University of Concepcion (Chile) in 2003 and his Ph.D. degree in Electrical Engineering at the University of Illinois at Urbana-Champaign in 2010. Prior to joining the Department, he held academic positions at the Universidad Tcnica Federico Santa Mara (Chile) from 2001 to 2014. He has taught several subjects of the Electrical Engineering curriculum such as electric circuits, power system analysis and operation. His research interests include power systems dynamics and stability, renewable energy, and energy storage systems. Dr. Pulgar is a member of the NSF Engineering Research Center CURENT . Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4651.txt b/src/data/compiled_bios/4651.txt new file mode 100644 index 0000000000..dff17fb435 --- /dev/null +++ b/src/data/compiled_bios/4651.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. Hairong Qi Gonzalez Family Professor Contact Information Email: hqi@utk.edu Personal Page Mailing Address: Min H. Kao Building, Room 304 1520 Middle Drive Knoxville, TN 37996-2250 Office Phone: 865-974-8527 Office Fax: 865-974-5483 Areas of Interest Image Processing, Computer Vision and Machine Learning Collaborative Information Processing in Sensor Networks Education Ph.D. in Computer Engineering, North Carolina State University, Raleigh, NC, 1999 M.S. in Computer Science, Northern JiaoTong University, Beijing, China, 1995 B.S. in Computer Science, Northern JiaoTong University, Beijing, China, 1992 Background Hairong Qi received the B.S. and M.S. degrees in computer science from Northern JiaoTong University, Beijing, China in 1992 and 1995, respectively, and the Ph.D. degree in computer engineering from North Carolina State University, Raleigh, in 1999. She is currently the Gonzalez Family Professor with the Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville. Her research interests are in advanced imaging and collaborative processing, hyperspectral image analysis, computer vision and machine learning. Dr. Qi is the recipient of the NSF CAREER Award. She also received the Best Paper Awards at the 18th International Conference on Pattern Recognition (ICPR) in 2006, the 3rd ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC) in 2009, and IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensor (WHISPERS) in 2015. She is awarded the Highest Impact Paper from the IEEE Geoscience and Remote Sensing Society in 2012. Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4652.txt b/src/data/compiled_bios/4652.txt new file mode 100644 index 0000000000..555973821b --- /dev/null +++ b/src/data/compiled_bios/4652.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. Garrett Rose Associate Professor Contact Information Email: garose@utk.edu Web: EECS Mailing Address: Min H. Kao Building, Room 308 1520 Middle Drive Knoxville, TN 37996-2250 Office Phone: 865-974-3132 Office Fax: 865-974-5483 Areas of Interest Nanoelectric Circuit Design Memristors and Memristive Systems Emerging Nanoelectronic Computer Architectures Hardware Security and Security Implications of Emerging Computing Systems Neuromorphic Computing Education PhD in Electrical Engineering, University of Virginia, Charlottesville, VA, August 2006 MS in Electrical Engineering, University of Virginia, Charlottesville, VA, May 2003 BS in Computer Engineering, Virginia Tech, Blacksburg, VA, May 2001 Background Dr. Garrett S. Rose is an Associate Professor in the Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville where his research is focused in the areas of nanoelectronic circuit design, neuromorphic computing and hardware security. Prior to joining the University of Tennessee, Dr. Rose was a Senior Electronics Engineer with the Air Force Research Laboratory (AFRL), Information Directorate, Rome, NY from July 2011. While with AFRL, he led a variety of research efforts in the areas of hardware security and nanocomputing. As with his current research, these efforts were particularly focused on understanding potential security vulnerabilities and strengths in nanoelectronic computing systems. From August 2006 to May 2011, he was an Assistant Professor in the Department of Electrical and Computer Engineering at the Polytechnic Institute of New York University, Brooklyn, NY where he taught courses in the area of VLSI circuit design. From May 2004 to August 2005 he was with the MITRE Corporation, McLean, VA, involved in the design and simulation of nanoscale circuits and systems. Dr. Rose received the B.S. degree in computer engineering from Virginia Polytechnic Institute and State University (Virginia Tech), Blacksburg, in 2001 and the M.S. and Ph.D. degrees in electrical engineering from the University of Virginia, Charlottesville, in 2003 and 2006, respectively. His Ph.D. dissertation was on the topic of circuit design methodologies for molecular electronic circuits and computing architectures. Dr. Rose is a member of the Association of Computing Machinery, IEEE Circuits and Systems Society and IEEE Computer Society. He serves and has served on Technical Program Committees for several IEEE conferences (including ISCAS, GLSVLSI, NANOARCH) and workshops in the area of VLSI design. In 2010, he was a guest editor for a special issue of the ACM Journal of Emerging Technologies in Computing Systems that presented key papers from the IEEE/ACM International Symposium on Nanoscale Architectures (NANOARCH09). Since April 2014, he is an associate editor for IEEE Transactions on Nanotechnology. Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4653.txt b/src/data/compiled_bios/4653.txt new file mode 100644 index 0000000000..d7b6c2a472 --- /dev/null +++ b/src/data/compiled_bios/4653.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. Scott Ruoti Assistant Professor Contact Information Email: ruoti@utk.edu Web: TBD Mailing Address: Min H. Kao Building, Room 344 1520 Middle Drive Knoxville, TN 37996-2250 Office Phone: 865-974-5449 Office Fax: 865-974-5483 Areas of Interest Systems security Web security Usable security Blockchain Education Ph.D. in Computer Science, Brigham Young University, 2016 Background Dr. Scott Ruoti is an assistant professor in the EECS department at the University of Tennessee. He received his Ph.D. degree in Computer Science from Brigham Young University in 2016. For the last two years, Dr. Ruoti has been a researcher at MIT Lincoln Laboratory. While there, he led a range of efforts, including acting as the chief architect for the Department of Homeland Securitys Cyber.gov program that is tasked with creating a next-generation cybersecurity architecture for all non-DoD federal departments and agencies. He also led a research team exploring non-cryptocurrency usages for Blockchain technology. Prior to his time at MIT Lincoln Laboratory he had worked at Microsoft, Microsoft Research, Google, Blue Coat Systems (Symantec), and Sandia National Laboratory. Dr. Ruoti researches computer security and privacy, human-computer interaction, and usable security and privacy. In particular, he is interested in researching how systems can be designed to ensure correct and secure operation when deployed to actual users. In practice, Dr. Ruoti tries to conduct holistic, interdisciplinary research that not only creates novel systems, but also addresses real-world human needs. His dissertation focused on designing email systems that are both secure and easy-to-use, especially for novice users. In his work, he designed a secure email system that outperforms other similar systems in terms of usability, ranking in the top 15% among the hundreds of software systems subjected to a standard usability test. His design reduced user errors from 25% to 2%, and increased user understanding and trust in secure email. Dr. Ruoti is also interested in exploring how to increase the security of password-based authentication and two-factor authentication, both in terms of theoretical security and real-world security. He is also researching using Blockchain technology to secure non-cryptocurrency systems, with an emphasis on low-connectivity environmentsfor example, using Blockchain technology to enable multi-national and multi-organization information sharing for humanitarian aid and disaster relief efforts. Finally, Dr. Ruoti is interested in exploring how to help developers create secure software. Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4654.txt b/src/data/compiled_bios/4654.txt new file mode 100644 index 0000000000..40ce557684 --- /dev/null +++ b/src/data/compiled_bios/4654.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. Amir Sadovnik Assistant Professor Contact Information Email: asadovnik@utk.edu Web: EECS Mailing Address: Min H. Kao Building, Room 352 1520 Middle Drive Knoxville, TN 37996-2250 Office Phone: 865-974-3076 Office Fax: 865-974-5483 Areas of Interest Computer Vision Machine Learning Natural Language Generation Human Computer Interaction Education Ph.D. in Electrical and Computer Engineering, Cornell University, Ithaca, NY, 2014 B.Eng. in Electrical and Computer Engineering, The Cooper Union, New York, NY, 2009 Background Amir Sadovnik is an assistant professor in the EECS department at the University of Tennessee. He received his PhD from the School of Electrical and Computer Engineering at Cornell University and was advised by Prof. Tsuhan Chen as member of the Advanced Multimedia Processing Lab. Prior to arriving at Cornell he received his Bachelors in Electrical and Computer Engineering from The Cooper Union. Prior to arriving at UT, Amir was an assistant professor at Lafayette College in Easton, PA. He spent four years mostly teaching undergraduate level courses in addition to working on undergraduate research. During his time at Lafayette he taught a variety of both introductory and advanced computer science courses. In addition, he helped redesign the introductory computer science course to make it more inclusive and was an active advocate for women in the field. His research in the field of computer vision has been mostly driven by the way humans understand and interact with images. This human centered view has led him to work on new and exciting projects, which utilize tools from different fields (such as computer vision, signal processing, natural language processing, machine learning, etc.) and apply them in new ways. His current research is mostly centered on using deep neural networks for tasks which tend to be more subjective such as evoked emotions, face similarity, and fashion compatibility. The subjective nature of these problems presents many interesting obstacles and opportunities which he explores in his research. Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4655.txt b/src/data/compiled_bios/4655.txt new file mode 100644 index 0000000000..3439b31aea --- /dev/null +++ b/src/data/compiled_bios/4655.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. Max Schuchard Assistant Professor Contact Information Email: mschucha@utk.edu Web: EECS Mailing Address: Min H. Kao Building, Room 345 1520 Middle Drive Knoxville, TN 37996-2250 Office Phone: 865-974-8061 Office Fax: 865-974-5483 Areas of Interest Computer security and privacy Censorship circumvention systems Crypto-currencies Education PhD in Computer Science, University of Minnesota, 2016 BS in Computer Science, University of Minnesota, 2007 Background Dr. Max Schuchard is originally from South Dakota, and he earned his BS in Computer Science at the University of Minnesota in 2007. After receiving his bachelors, he worked for two years with EPIC Systems, an electronic medical records company in Madison, Wisconsin doing research and development. He subsequently returned to the University of Minnesota for his Ph.D., again in Computer Science, completing it in June 2016. While he was a Ph.D. student he worked with a small defense contracting firm in Minneapolis-St. Paul called Smart Information Flow Technologies (SIFT). He says the coolest thing he did there was participate in DARPAs Cyber Grand Challenge, which was a competition to build software which would autonomously find vulnerabilities in other pieces of software, demonstrate the vulnerability, and then generate a patch for it, all without human intervention. He has now come to the University of Tennessee as an assistant professor. Dr. Schuchard researches computer security and privacy. His research covers many specific areas, but in general it looks at both how adversaries can disrupt a broad range of computer systems tasked with delivering your data and what privacy concerns there are when adversaries play games with those systems in order to learn more about the people using them. His thesis centered around the security of the Internets routing infrastructure- the computers that glue together the Internet, helping your data get from you to its destination. Specifically, it looked at how an adversary who wanted to disrupt large portions of the Internet could attack routers which speak the Boarder Gateway Protocol (BGP) to each other. Dr. Schuchard also asks similar questions about censorship circumvention systems. These are systems that help individuals, living in nations where authorities restrict what content can be accessed, achieve free and unfettered access to the Internet. His research approaches these systems from the perspective of a censoring entity, looking for ways that the systems can be disrupted, or worse yet, their uses unmasked and identified. The goal is to find such flaws in the systems before repressive nation-states do and fix them, resulting in more robust systems and a higher degree of safety for their users. Lastly, Dr. Schuchard researches crypto-currencies such as Bitcoin, Etherium, and ZCash. He is mostly interested in the privacy implications of such systems, but he also works to try to understand how the exchange markets of these systems behave, or dont behave, in many instances. Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4656.txt b/src/data/compiled_bios/4656.txt new file mode 100644 index 0000000000..2561c52d47 --- /dev/null +++ b/src/data/compiled_bios/4656.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. Jinyuan Stella Sun Associate Professor Contact Information Email: jysun@utk.edu Web: EECS Mailing Address: Min H. Kao Building, Room 604 1520 Middle Drive Knoxville, TN 37996-2250 Office Phone: 865-974-0426 Office Fax: 865-974-5483 Areas of Interest Security and privacy in wired/wireless networks and critical application systems Education Ph.D. in Electrical and Computer Engineering, The University of Florida, in 2010 M.S. in Computer Networks, Ryerson University, Canada, in 2005 B.S. in Computer Information Systems, Beijing Information Technology Institute, China, 2003 Background Jinyuan Sun received the B.Sc. degree in computer information systems from Beijing Information Technology Institute, China, in 2003, the MASc degree in computer networks from Ryerson University, Canada, in 2005, and the Ph.D. degree in electrical and computer engineering from the University of Florida, in 2010. She was a Network Test Developer at RuggedCom Inc., Ontario, Canada, 2005-2006. She has been an assistant professor in the Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville, since August 2010. Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4657.txt b/src/data/compiled_bios/4657.txt new file mode 100644 index 0000000000..3a339a2a5d --- /dev/null +++ b/src/data/compiled_bios/4657.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. Kai Sun Associate Professor Contact Information Email: kaisun@utk.edu Web: EECS Mailing Address: Min H. Kao Building, Room 612 1520 Middle Drive Knoxville, TN 37996-2250 Office Phone: 865-974-3982 Office Fax: 865-974-5483 Areas of Interest Power system stability, control, and optimization Education PhD in Control Science and Engineering,Tsinghua University in Beijing, China, 2004 BS in Automation, Tsinghua University, Beijing, China, 1999 Background Kai Sun is an Associate Professor in the Department of Electrical Engineering and Computer Science, and also a member of the Center for Ultra-Wide-Area-Resilient Electric Energy Transmission Networks (CURENT) research group. Before coming to the UT, Dr. Sun was a Project Manager with the Electric Power Research Institute (EPRI) in Palo Alto, California from 2007-2012 for the R&D programs in Grid Operations and Planning and Renewable Integration. Earlier, he worked as a research associate at Arizona State University in Tempe and a postdoctoral fellow at the University of Western Ontario in London, Ontario. His current research activities focus on understanding, preventing and mitigating cascading failures in power grids, wide-area measurements based power system analysis and control, and application of artificial intelligence in power systems Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4658.txt b/src/data/compiled_bios/4658.txt new file mode 100644 index 0000000000..477cce2508 --- /dev/null +++ b/src/data/compiled_bios/4658.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. Michela Taufer Dongarra Professor Contact Information Email: taufer@utk.edu Web: GCLab Mailing Address: Min H. Kao Building, Room 620 1520 Middle Drive Knoxville, TN 37996-2250 Office Phone: 865-974-9952 Office Fax: 865-974-5483 Areas of Interest High Performance Computing Scientific Applications And Their Programmability On Multi-Core And Many-Core Platforms Numerical Reproducibility And Stability Of Multithreaded Applications Performance Analysis, Modeling, And Optimization Of Multi-Scale Applications Cloud Computing And Volunteer Computing Big Data Analytics And MapReduce Education PhD in Computer Science, Swiss Federal Institute of Technology, Zurich, Switzerland, 2000 MS in Computer Engineering, University of Padua, Italy, 1996 Background Michela Taufer is an ACM Distinguished Scientist. She was a J.P. Morgan Chase Scholar at the University of Delaware where she led the Global Computing Lab to promote the use of high performance computing to advance sciences. Michela Taufer joined the University of Delaware in 2007 where she was promoted to associate professor with tenure in 2012 and full professor in 2017. She earned her MS in Computer Engineering from the University of Padova and her Ph.D. in Computer Science from the Swiss Federal Institute of Technology (ETH). She was a post-doctoral research supported by the La Jolla Interfaces in Science Training Program (also called LJIS) at UC San Diego and The Scripps Research Institute. Before she joined the University of Delaware, Michela was faculty in Computer Science at the University of Texas at El Paso. Michela has a long history of interdisciplinary work with high-profile computational biophysics groups in several research and academic institutions. Her research interests include software applications and their advance programmability in heterogeneous computing (i.e., multi-core platforms and GPUs); cloud computing and volunteer computing; and performance analysis, modeling and optimization of multi-scale applications. She has been serving as the principal investigator of several NSF collaborative projects. She also has significant experience in mentoring a diverse population of students on interdisciplinary research. Michelas training expertise includes efforts to spread high-performance computing participation in undergraduate education and research as well as efforts to increase the interest and participation of diverse populations in interdisciplinary studies. Michela has served on numerous IEEE program committees (SC and IPDPS among others) and has reviewed for most of the leading journals in parallel computing. She served as the IEEE Cluster 2015 General co-Chair and the IEEE IPDPS 2017 General Chair. She is the ACM/IEEE SC19 General Chair. Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4659.txt b/src/data/compiled_bios/4659.txt new file mode 100644 index 0000000000..92bba79e97 --- /dev/null +++ b/src/data/compiled_bios/4659.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. Leon Tolbert Min H. Kao Professor Contact Information Email: tolbert@utk.edu Web: EECS, CURENT Mailing Address: 520 Min H. Kao Building 1520 Middle Drive Knoxville, TN 37996-2250 Office Phone: 865-974-2881 Office Fax: 865-974-5483 Areas of Interest Power Electronics Power Systems Education Ph.D. in Electrical Engineering, Georgia Institute of Technology, Atlanta, Georgia, 1999 M.S. in Electrical Engineering, Georgia Institute of Technology, Atlanta, Georgia, 1991 Bachelors of Electrical Engineering (with highest honors), Georgia Institute of Technology, Atlanta, Georgia, 1989 Background Leon M. Tolbert is the Min H. Kao Professor in the Electrical Engineering and Computer Science Department. He received his Bachelors in Electrical Engineering with highest honors in 1989 and his M.S. in Electrical Engineering in 1991 from the Georgia Institute of Technology, Atlanta. He joined the Engineering Division of Lockheed Martin Energy Systems in 1991 and worked on several electrical distribution and power quality projects at the three U.S. Department of Energy plants in Oak Ridge, Tennessee. In 1997, he became a Research Engineer in the Power Electronics and Electric Machinery Research Center (PEEMRC) in the Engineering Science and Technology Division at the Oak Ridge National Laboratory. Some of his projects included thermal and efficiency modeling for hybrid electric vehicles, development of multilevel inverter PWM methods, and testing methods to approximate electric machine efficiency. In 1999, he received his Ph.D. in Electrical Engineering from the Georgia Institute of Technology. He was appointed as an assistant professor in the Department of Electrical and Computer Engineering at The University of Tennessee in Knoxville in 1999. He does research in the areas of electric power conversion, SiC power devices, multilevel converters, hybrid electric vehicles, and power quality. He is also a participating faculty member of the Graduate Automotive Technology Education (GATE) Center at UT. Dr. Tolbert is an adjunct participant at the Oak Ridge National Laboratory and conducts joint research at the National Transportation Research Center (NTRC). He is a Registered Professional Engineer in the state of Tennessee, a Senior Member of the IEEE, and a member of the IEEE Industry Applications Society, IEEE Power Electronics Society, and IEEE Power Engineering Society. He is an Associate Editor of the IEEE Power Electronics Letters and the Educational Activities Chairman of the IEEE Power Electronics Society. He is the recipient of a National Science Foundation CAREER Award and the 2001 IEEE Industry Applications Society Outstanding Young Member Award. He has received the following awards at The University of Tennessee: 2003, 2007, 2012, 2013 Engineering Research Fellow Award, Chancellors Citation for Professional Promise in Research and Creative Achievement in 2003, 2004 Gonzalez Family Faculty Exellence Award in Research, and the Weston Fulton Award for Excellence in Research and Teaching in 2001. Dr. Tolbert is a member of the NSF Engineering Research Center CURENT . Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/466.txt b/src/data/compiled_bios/466.txt new file mode 100644 index 0000000000..aa090d2f08 --- /dev/null +++ b/src/data/compiled_bios/466.txt @@ -0,0 +1 @@ + Skip to Main Content Ian Foster HomeAboutBlogPresentationsPublicationsContact I am a computer scientist who works at the intersection of computing and the sciences. Welcome to my web site. You\'ll find here discussions of my research; my blog, where I discuss issues relating to science, computation, software, and services, among other things; and pointers to my publications. Enjoy. More importantly, let me know what you think. Follow @ianfoster // Recent blog posts New book: Cloud Computing for Science and Engineering A new research network in New Zealand What is data worth? Lets put a price on it Economics of platforms: Implications for cyberinfrastructure Parallel algorithms for the spectral transform method Search Search for: 2019 Ian Foster Responsive WordPress Theme powered by CyberChimps /* */ _stq = window._stq || []; _stq.push([ \'view\', {v:\'ext\',j:\'1:5.3\',blog:\'62268210\',post:\'30\',tz:\'-6\',srv:\'www.ianfoster.org\'} ]); _stq.push([ \'clickTrackerInit\', \'62268210\', \'30\' ]); diff --git a/src/data/compiled_bios/4660.txt b/src/data/compiled_bios/4660.txt new file mode 100644 index 0000000000..431ba7784b --- /dev/null +++ b/src/data/compiled_bios/4660.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. Kevin Tomsovic Professor Contact Information Email: tomsovic@utk.edu Web: EECS , CURENT Mailing Address: Min H. Kao Building, Room 512 1520 Middle Drive Knoxville, TN 37996-2250 Office Phone: 865-974-2693 Office Fax: 865-974-5483 Areas of Interest Intelligent systems and optimization methodologies applied to various power system problems, including distribution system design, electricity market analysis, equipment diagnostics and maintenance, operation of dispersed energy resources, production scheduling, and stabilization control Education PhD in Electrical Engineering, University of Washington 1987 Thesis: Development of Expert Systems as On-Line Operational Aids Advisor: C.C. Liu MS in Electrical Engineering University of Washington 1984, Thesis: Analysis of a Non-Gyroscopic Inertial Measurement Unit Advisor: E. Noges BS Electrical Engineering High Honors Michigan Technological University 1982, Emphasis: Control Theory and Computer Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4661.txt b/src/data/compiled_bios/4661.txt new file mode 100644 index 0000000000..dec80a7ddf --- /dev/null +++ b/src/data/compiled_bios/4661.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. Brad Vander Zanden Professor Contact Information Email: bvanderz@utk.edu Web: EECS Mailing Address: Min H. Kao Building, Room 312 1520 Middle Drive Knoxville, TN 37996-2250 Office Phone: 865-974-8175 Office Fax: 865-974-5483 Areas of Interest Graphical programming environments Programming languages Constraint solving Graphical User Interfaces Education Ph.D. in Computer Science, Cornell University, Ithaca, NY, 1989 M.S. in Computer Science, Cornell University, Ithaca, NY, 1985 B.S. in. Accounting/Computer Science, Ohio State University, Columbus, OH, 1982 Background Professor Vander Zandens research focuses on program language design and implementation, especially as it applies to graphical user interfaces. Professor Vander Zandens current research focus is on the development of computer aided drawing tools that make it easier for instructors and students to draw and animate data structures, such as trees and lists, that are commonly presented in undergraduate computer science courses. Such tools can provide presentation aids for instructors in the classroom, allow for the creation of animated notes that might accompany a course, distance course, or textbook, and allow either students or instructors to provide an animated set of homework solutions. Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4662.txt b/src/data/compiled_bios/4662.txt new file mode 100644 index 0000000000..5bc1709f18 --- /dev/null +++ b/src/data/compiled_bios/4662.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. Fei Fred Wang Professor and Condra Chair of Excellence in Power Electronics, CURENT Technical Director Contact Information Email: fred.wang@utk.edu Web: CURENT Mailing Address: Min H. Kao Building, Room 519 1520 Middle Drive Knoxville, TN 37996-2250 Office Phone: 865-974-2146 Office Fax: 865-974-5483 Areas of Interest Power Electronics Power Systems Motor Drives Education Ph.D. from University of Southern California, Los Angeles, 1990 M.S. from University of Southern California, Los Angeles, 1985 B.S. from Xian Jiaotong University, China, 1982 Background Dr. Wang holds the Condra Chair of Excellence in Power Electronics and is a Professor in Electrical Engineering at The University of Tennessee, Knoxville. He also has a joint appointment with Oak Ridge National Lab. He is a founding member and the Technical Director of the NSF-DOE Engineering Research Center CURENT. He is conducting research on: design, modeling, control, and integration of advanced power electronics converters; motor drives; wide bandgap device characterization, modeling, packaging, control, and application; power electronics application to transportation, renewable energy and utility power systems. Dr. Wang has authored and coauthored over 400 refereed publications, one book, four book chapters, holds 15 US patents, and is a Fellow of IEEE. He is newly inducted as a Fellow of National Academy of Inventors. At UTK, he has led or participated in more than 35 projects, totaling more than $46M, with personal share more than $12M. He has advised 9 Ph.D. and 3 M.S. students to completion. Has also supervised several post-doc researchers and hosted more than 30 visiting students and faculty. Dr. Wang received his B.S.E.E. from Xian Jiaotong University, Xian, China in 1982. In 1985 and 1990, he received his M.S. and Ph.D. degrees, respectively, in Electrical Engineering from University of Southern California (USC), Los Angeles, California. He worked as a research scientist at USCs electric power lab from 1990 to 1992. His study and research at USC included power system transients and insulation coordination, power equipment diagnosis, and electromagnetic field effects and shielding. Dr. Wang joined GE Power Systems Engineering in Schenectady, New York as an Application Engineer in 1992. From 1992-1994, he was involved in numerous projects including TCSC and other FACTS applications, SMES, HVDC, railway electrification, steel mill VAR and harmonic compensation. After a short stint as a marketing engineer in China for GE Power Systems, Dr. Wang became a senior development engineer at GE Drive Systems, Salem, VA in 1994. From 1994-2000, he participated and made key contributions in the development of GEs cycloconverter main drive, and Innovation Series medium voltage drives the worlds first three-level NPC mega-watt medium voltage PWM drives based on HVIGBT and IGCT. He was a main developer of the synchronous machine drive control algorithm. He developed the grid-interface control, robust modulation and neutral-point control, motor shaft voltage and bearing current mitigation, and converter protection schemes for the three-level PWM drives. In 2000, he joined GE Corporate R&D, Schenectady, New York as a program manager, responsible for establishing the Electrical Systems Technology Program in Shanghai, China. Dr. Wang worked at the Center for Power Electronics Systems (CPES), Virginia Tech from 2001 to 2009, first as a research associate professor and became an associate professor in 2004. From 2003 to 2009, he also served as the CPES Technical Director. At CPES, Dr. Wangs research focused on high power electronic converters and systems for industrial motor drives, more electric airplanes, all electric ships, oil and gas, and renewable and distributed energy systems. He led or participated in morethan 30 projects totaling $11M, with personal share more than $5M. He advised and co-advised 10 Ph.D. and 8 MS students to completion and hosted 6 visiting faculty and students. Dr. Wang actively participates in IEEE activities and is a member of Power Electronics, Power and Energy, Industry Applications and Industrial Electronics Societies. He is an associate editor of IEEE Transactions on Power Electronics. He participated and led in developing three IEEE Standards on power electronics systems. He has received seven prize paper awards from IEEE IAS. He also received Dushman award in 1998, the highest award for best team technical work in GE. He is a three-time recipient of TCE Faculty Research Achievement Awards. Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4663.txt b/src/data/compiled_bios/4663.txt new file mode 100644 index 0000000000..d302f94c97 --- /dev/null +++ b/src/data/compiled_bios/4663.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. Dan Wilson Assistant Professor Contact Information Email: dwilso81@utk.edu Web: EECS Mailing Address: Min H. Kao Building, Room 641 1520 Middle Drive Knoxville, TN 37996-2250 Office Phone: 865-974-5468 Office Fax: 865-974-5483 Areas of Interest Model reduction of nonlinear dynamical systems Limit cycle oscillators Optimal control Neuroscientific and cardiological applications Education Ph.D. in Mechanical Engineering, University of California, Santa Barbara, 2016 B.S. in Mechanical Engineering, University of Washington, 2011 B.A. in Natural and Mathematical Sciences, Whitman College, 2011 Background Dr. Dan Wilson holds a Ph.D. (2016) in Mechanical engineering from the University of California, Santa Barbara. He received a B.S. (2011) from the University of Washington in Mechanical Engineering and a B.A. (2011) from Whitman College in Natural and Mathematical Sciences. Most recently, he was a National Science Foundation Postdoctoral Research Fellow at the University of Pittsburgh. Using tools from dynamical systems and control theory, Dans research focuses on understanding the mechanisms of biological dysfunction in order to develop better treatments than those that are currently available. A significant focus of this research is on the development of model reduction techniques that can be used to reduce the dimensionality of complicated biological models so that further analytical progress can be made on problems that would otherwise be intractable from both an analytical and system control perspective. Current applications of interest include the development of control strategies to eliminate and prevent arrhythmias that ultimately lead to cardiac arrest, a leading cause of death in industrialized nations. Also of interest is the treatment of neurological disorders characterized by excessive synchronization of neural firing patterns where the ultimate goal is to develop better Deep Brain Stimulation protocols for patients afflicted with Parkinsons disease. Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4664.txt b/src/data/compiled_bios/4664.txt new file mode 100644 index 0000000000..303b3f64b3 --- /dev/null +++ b/src/data/compiled_bios/4664.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. Jayne Wu Professor Contact Information Email: jwu10@utk.edu Web: EECS Mailing Address: Min H. Kao Building, Room 544 1520 Middle Drive Knoxville, TN 37996-2250 Office Phone: 865-974-5494 Office Fax: 865-974-5483 Areas of Interest Micro-electronics Microfluidics MEMS Education Ph.D. in Electrical Engineering, University of Notre Dame, IN, USA, 2004 M.S.E.E. in University of Notre Dame, IN, USA, 2001 Ph.D. in Solid-State Electronics, Shanghai Institute of Microsystems and Information Technology, Chinese Academy of Sciences, 1999 M.S.E in Applied Physics, Hefei University of Technology, Hefei, P.R. China, 1996 B.Eng. from Hefei University of Technology, Hefei, P.R. China, 1993 Background Since joining UTK faculty in August 2004, Dr. Wu has been developing a research program, electromechanics for nanobiotechnology, and establishing national and international prominence of UTK in the field. She has received the NSF Career Award, ORAU Junior Faculty Award, Science Alliance and other grants to support this research program. Within two years, the program has expanded to seven graduate students (four PhD students). The group, aiming to lead and emphasizing on innovation, has produced several of the worlds first microfluidic devices, a first electrokinetic (EK) micropump for bio/ conductive fluids, a first in-situ particle trap on microcantilevers, a biased AC electro-osmotic micropump, with more inventions being developed, as well as industrial interest in SBIR/STTR. Two pending patents, one provisional patent and one disclosure have been filed through UTRF. UTKs pioneering contribution in this field is being recognized by the peers all over the world, and Dr. Wu has been frequently solicited for seminars on her electrokinetic research at UTK, both nationally and internationally. Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4665.txt b/src/data/compiled_bios/4665.txt new file mode 100644 index 0000000000..b757efa16c --- /dev/null +++ b/src/data/compiled_bios/4665.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. David Icove UL Professor of Practice Contact Information Email: icove@utk.edu Web: Personal Website Mailing Address: Min H. Kao Building, Room 643 1520 Middle Drive Knoxville, TN 37996-2250 Office Phone: 865-974-8051 Office Fax: 865-974-4369 Areas of Interest Forensic engineering analysis of electrical cable fires in power plants High performance computational modeling of fires and explosions Cyberterrorism, intrusion detection, and computer security Pattern recognition, artificial intelligence, and image processing Education PhD, PE in Engineering Science and Mechanics, University of Tennessee, 1979 MS in Electrical Engineering, University of Tennessee, 1973 BS in Fire Protection Engineering, University of Maryland, 1975 BS in Electrical Engineering, University of Tennessee, 1971 Background An internationally recognized forensic engineering expert with over 40 years of experience, Dr. Icoves expertise is based on a blend of university teaching, on-scene fire tests and experiments, and authorship of several peer-reviewed textbooks and articles. A retired federal law enforcement agent, he has testified as an expert witness in civil and criminal trials, as well as before U.S. Congressional Committees seeking guidance on key legislative initiatives. Professional Associations Registered Professional Engineer (TN, VA, TX, PA, LA, AR, MD & AL) Member, National Society of Professional Engineers (NSPE) Senior Member, Institute of Electrical and Electronics Engineers (IEEE) Certified Fire and Explosion Investigator (NAFI) Funded Research U.S. Nuclear Regulatory Commission (2010-11). Fire Modeling for Nuclear Engineering Professionals , with UT Prof. A. Ruggles, Washington, DC. National Institute of Justice (1998). Cybercrime Cyberterrorism Study , 98-MU-CX-A076, U.S. Dept. of Justice, Washington, DC. $65,000. U.S. Fire Administration (USFA), Federal Emergency Management Agency (1995-2001), Arson Information Management System (AIMS) Project , Emmitsburg, MD. $450,000. National Computer Security Center (1988-1993). Computer Assisted Security and Investigative Analysis Tool , Ft. Meade, MD. $450,000. National Institute of Standards and Technology (1974). FEDAP: A Fire Engineering Data Analysis Program , Gaithersburg, MD. $500. Patents U.S. Patent 7724134, May 25, 2010, Passive Microwave Fire and Intrusion Detection System , D.J. Icove and C.T. Lyster. U.S. Patent 7454411, Nov 18, 2008, Parallel Data Processing Architecture , J.D. Birdwell, T.W. Wang, R.D. Horn, P. Yadav, and D.J. Icove. U.S. Patent 7272612, Sept. 18, 2007, Method of Partitioning Data Records , J.D. Birdwell, T.W. Wang, R.D. Horn, P. Yadav, D.J. Icove. U.S. Patent 6741983, May 25, 2004, Method of Indexed Storage and Retrieval of Multidimensional Information , J.D. Birdwell, T.W. Wang, R.D. Horn, P. Yadav, D.J. Icove. Peer-Reviewed Textbooks J.D. DeHaan and D.J. Icove. (2011). Kirks Fire Investigation , 7th Edition. Prentice Hall. (2011 Mid-year Publication) D.J. Icove and J.D. DeHaan. (2009). Forensic Fire Scene Reconstruction , 2nd Edition. Prentice Hall. D.J. Icove, C.M. Blocher, and J.D. DeHaan. (2002). Instructors Manual to Kirks Fire Investigation , 5th Edition, Prentice Hall, ISBN 0-13-060458-5, Upper Saddle River, NJ. LINK D.J. Icove, V.B. Wherry and J.D. Schroeder. (1998). Combating Arson-for-Profit: Advanced Techniques for Investigators , 2nd Edition, Battelle Press, ISBN 0-934550-2, Columbus, OH. LINK D.J. Icove, K.A. Seger and W.R. VonStorch. (1995). Computer Crime: A Crimefighters Handbook . OReilly & Associates, Cambridge, MA. LINK Representative Publications D.J. Icove, G.E. Gorbett, J.D. Birdwell, and R.E. Merck. 2010. Fire Modeling: Best Practices for Constructing Academic High Performance Computing Clusters , (ISFI 2010, International Symposium on Fire Investigation Science and Technology, College Park, Maryland, September 27-29, 2010) D.J. Icove and B.P. Henry. 2010. Expert Report Writing: Best Practices for Producing Quality Reports , (ISFI 2010, International Symposium on Fire Investigation Science and Technology, College Park, Maryland, September 27-29, 2010) A.T. Tinsley, M. Whaley, and D.J. Icove. 2010. Analysis of Hay Clinkers as an Indicator of Fire Cause , (ISFI 2010, International Symposium on Fire Investigation Science and Technology, College Park, Maryland, September 27-29, 2010) J.D. DeHaan, D.J. Icove, R. Crim, J.L. Blankenship. 2010. Burning for Profit: Putting it all Together . (ISFI 2010, International Symposium on Fire Investigation Science and Technology, College Park, Maryland, September 27-29, 2010) A.T. Tinsley and D.J. Icove. (2008). An Assessment of the Use of Structural Deformation as a Method for Determining Area of Fire Origin , (ISFI 2008, International Symposium on Fire Investigation Science and Technology, Cincinnati, Ohio, May 19-21, 2008) D.J. Icove and M.W. Dalton. (2008). A Comprehensive Prosecution Report Format for Arson Cases , (ISFI 2008, International Symposium on Fire Investigation Science and Technology, Cincinnati, Ohio, May 19-21, 2008) D.J. Icove and C.T. Lyster. (2007). Passive Microwave Fire Detection: A Survey and Assessment , (11th International Conference on Fire Scene and Engineering, University of London, Royal Holloway College, United Kingdom, September 3-5, 2007.) D.J. Icove and G.A. Haynes. (2007). Guidelines for Conducting Peer Reviews of Complex Fire Investigations , (Fire and Materials Conference, San Francisco, California, January 29-31, 2007.) D.J. Icove and J.D. DeHaan. (2006). Hourglass Burn Patterns: A Scientific Explanation for their Formation (International Symposium on Fire Investigation Science and Technology, Cincinnati, Ohio, June 26-28, 2006.) D J. Icove, H.E. Welborn, A.J. Vonarx, E.C. Adams, J.R. Lally, T.G. Huff. (2006). Scientific Investigation and Modeling of Prehistoric Structural Fires at Chevelon Pueblo , (International Symposium on Fire Investigation Science and Technology, Cincinnati, Ohio, June 26-28, 2006.) D.J. Icove and J.D. DeHaan. (2004). NFPA 921s Impact on Fire Scene Reconstructions , Fire Protection Engineering Magazine, (Society of Fire Protection Engineers, Bethesda, Maryland, Vol. 21, pp. 10-16. Winter 2004) A.M. Christensen and D. J. Icove. (2004). The Application of NISTs Fire Dynamics Simulator to the Investigation of Carbon Monoxide Exposure in the Deaths of Three Pittsburgh Fire Fighters . Journal of Forensic Science, Vol. 49, No. 1. PDF H. Stambaugh, D. Beaupre, D.J. Icove, R. Baker, W. Cassaday, and W.P. Williams (2000). State and Local Law Enforcement Needs To Combat Electronic Crime . Research in Brief, NCJ 183451, Washington, D.C. PDF D.J. Icove. (1997). Collaring Cybercrooks: An Investigators View . IEEE Spectrum. New York, NY, Institute of Electrical and Electronic Engineers, June 1997. PDF D.J. Icove. (1990). Safeguarding Computer Centers, Security Management . American Society for Industrial Security, Arlington, VA. D.J. Icove and R. Gilman. (1989). Arson Reporting Immunity Laws , FBI Law Enforcement Bulletin. U.S. Department of Justice, Washington, D.C., Vol. 58, No. 6, September 1989. K.A. Seger and D.J. Icove. (1988). Power Theft: The Silent Crime , FBI Law Enforcement Bulletin. U.S. Department of Justice, Washington, D.C., Vol. 57, No. 3, March 1988. PDF D.J. Icove and M.H. Estepp, Motive-Based Offender Profiles of Arson and Fire-Related Crimes , FBI Law Enforcement Bulletin. U.S. Department of Justice, Washington, D.C., April 1987. D.J. Icove. (1986). Automated Crime Profiling , FBI Law Enforcement Bulletin. U.S. Department of Justice, Washington, D.C., Vol. 55, No. 2, December 1986. PDF Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4666.txt b/src/data/compiled_bios/4666.txt new file mode 100644 index 0000000000..597e282d19 --- /dev/null +++ b/src/data/compiled_bios/4666.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. Joshua Dunn Lecturer Contact Information Email: josh.dunn@utk.edu Mailing Address: 615 Min H. Kao Building 1520 Middle Drive Knoxville, TN 37996-2250 Office Phone: 865-974-5478 Office Fax: 865-974-5483 Areas of Interest Computer Vision Image Registration and Segmentation Medical Imaging Education Ph.D. in Computer Science, University of Tennessee, Knoxville, 2018 B.S. in Computer Engineering, University of Tennessee, Knoxville, 2011 Background Josh Dunn is a lecturer in the Min H. Kao Department of Electrical Engineering and Computer Science at the University of Tennessee. He is currently finishing his Ph.D. in Computer Science at the University of Tennessee. His interests include computer vision, image registration and segmentation, and medical imaging. Before starting as a lecturer, Mr. Dunn served the University of Tennessee as a graduate teaching assistant and received the Graduate Student Senate Excellence in Teaching Award in 2018 and the Gonzalez Family Graduate Teaching Assistant Award in 2015. Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4667.txt b/src/data/compiled_bios/4667.txt new file mode 100644 index 0000000000..de01ae503f --- /dev/null +++ b/src/data/compiled_bios/4667.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. Lila Holt Lecturer Contact Information Email: lholt@utk.edu Mailing Address: 546 Min H. Kao Building 1520 Middle Drive Knoxville, TN 37996-2250 Office Phone: 865-974-0233 Office Fax: 865-974-5483 Areas of Interest Computational Thinking STEM and Critical Thinking Skills in Computer Science Self-Directed Learning Organizational Learning Education Ph.D. in Education, Instructional Technology, University of Tennessee, Knoxville, 2011 M.S. in Computer Science, University of Tennessee, Knoxville, 1992 B.A. in Computer Science, University of Tennessee, Knoxville, 1981 Background Dr.Lila Holt received both the Ph.d. in Instructional Technology Education and the M.S. in Computer Science from the University of Tennessee. Interests include methods for teaching computer science and promoting STEM to encourage women in the field of computer science. Current research includes the use of MakerSpaces to promote critical and computational thinking. Additional research includes theoretical foundations, such as self-directed learning, to help adaptation to new technologies and innovations as changes in Computer Science and technology advance. Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4668.txt b/src/data/compiled_bios/4668.txt new file mode 100644 index 0000000000..7ca00875a1 --- /dev/null +++ b/src/data/compiled_bios/4668.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Mr. Fred Martin Lecturer Contact Information Email: fmarti15@vols.utk.edu Mailing Address: 501 Min H. Kao Building 1520 Middle Drive Knoxville, TN 37996-2250 Cell Phone: 865-313-6018 Office Fax: 865-974-5483 Areas of Interest Circuit Theory and Design EM Field Theory Controls (PID Closed Loop Controls, PLC, HMI, and Embedded Controls) Signal Integrity (SI) and High Speed Interconnects EMC (Electromagnetic Compatibility) and SI Interactions Education MS in Electrical Engineering, The University of Tennessee, 1973 BS in Electrical Engineering, The University of Tennessee, 1971 BS in Mathematics, East Tennessee State University, 1970 Background Mr. Fred L. Martin is a lecturer in the Min H. Kao Department of Electrical Engineering and Computer Science of the University of Tennessee and a registered patent agent with the USPTO. Mr. Martin is also an inventor with over 10 core patents and over 50 foreign and international patents. He is also a lifelong learner. Mr. Martin received his B.S. Degree in Mathematics from East Tennessee State University in association with the University of Tennessee Knoxville in 1970 and a B.S. degree in Electrical Engineering in 1971 from the University of Tennessee Knoxville. He also received a M.S. degree in Electrical Engineering in 1973 from the University of Tennessee Knoxville. As a lifelong learner, he has aggressively pursued knowledge associated with research and development activities in industry, supplementary university courses, various symposiums; including IEEE EMC and Global EMC University, and received specialized training from world class scientists. Mr. Martin has been a practicing engineer, VP of Engineering, Director of R&D, and a high tech division director for a $5B corporation comprising an illustrious 40+ year career. As a consultant for Abbott Laboratories, Abbott Park, IL; Mr. Martin became a preferred vendor of engineering services including controls (PID closed Loop controls, PLC, HMI, and embedded controls) provided to Corporate Engineering and multiple divisions including liaison services involving national and international travel. Recently, Mr. Martin consulted with CMD Corporation, Appleton, WI; diagnosing and solving static electric field issues with high speed plastic bag manufacturing systems. Some of Mr. Martins accomplishments regarding research and development include the worlds first microprocessor controlled CIP system, the worlds first full coverage spherical inkjet printing machine (patented), high speed extremely thin (0.013) and flat transmission lines, and the first energy limiting (ELCI) electrical safety device (patented and UL listed) for home wiring systems. Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4669.txt b/src/data/compiled_bios/4669.txt new file mode 100644 index 0000000000..a101d7c688 --- /dev/null +++ b/src/data/compiled_bios/4669.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. Stephen Marz Lecturer Contact Information Email: stephen.marz@utk.edu Web: EECS Mailing Address: 302 Min H. Kao Building 1520 Middle Drive Knoxville, TN 37996-2250 Office Phone: 865-974-0486 Office Fax: 865-974-5483 Areas of Interest Operating systems Programming languages Graphical user interfaces Input event models Computer architectures Education Ph.D. in Computer Science, University of Tennessee, Knoxville, 2016 M.S. in Information Technology, Kaplan University, 2010 B.S. in Computer Science, Illinois Institute of Technology, Chicago, IL, 2004 Background Stephen Marz is a Lecturer in the EECS department at the University of Tennessee. He received his Ph.D. degree in Computer Science from the University of Tennessee in 2016. His interests include operating systems for multiple computer architectures, programming languages, graphical user interfaces, and input event models. His teaching interests include using computer-aided technology to improve classroom learning environments and developing interesting, hands-on projects to accommodate assorted learning styles. Before arriving at the University of Tennessee, Dr. Marz was a Captain in the US Air Force and served as a helicopter rescue pilot with several combat deployments. After retiring in 2012, he pursued an interest in higher-level education and teaching. Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/467.txt b/src/data/compiled_bios/467.txt new file mode 100644 index 0000000000..4f02194067 --- /dev/null +++ b/src/data/compiled_bios/467.txt @@ -0,0 +1 @@ +Fred Chong Home Teaching Papers Talks Service Personal CV Recent Talks Closing the Gap between Quantum Algorithms and Machines with Hardware-Software Co-Design, Distinguished Lecture, UCLA, Los Angeles, CA, 2019 diff --git a/src/data/compiled_bios/4670.txt b/src/data/compiled_bios/4670.txt new file mode 100644 index 0000000000..f85bee77fb --- /dev/null +++ b/src/data/compiled_bios/4670.txt @@ -0,0 +1 @@ + CURENT Center for Ultra-wide-area Resilient Electric Energy Transmission Networks Home News Calendar Events Newsletters Press Releases Industry Seminar: Wanda Reder IAB Chair Matt Gardner Featured in Article SLC Meeting Scheduled for Thur., Nov. 6 SLC Internship Seminar on Nov. 13th WiPDA Workshop, Oct. 13-15 Congratulations to Ben Guo CURENT at Northeastern U. has Social Outing Congratulations to Maryam Valiani Student Leadership Council Business Etiquette Seminar, Nov. 19th Congratulations to Yao Xu Congratulations to Cameron Riley Dr. Fran Li to Present Industry Seminar on November 21 Congratulations to Ye Zhang North American Synchrophaser Initiative (NASPI) on Oct. 22nd Dr. McFarlane Participates in CURENT Outreach SLC Plans Pot Luck Lunch Ben Guo Wins Poster Award at ECCE 2014 Scott Ghiocel wins NSAPI Outstanding Student Award NEU seminar with Dr. Paul Hines Young Scholars Give Presentations CURENT Ambassadors Hold Discussion Dr. Jian Sun Elevated to IEEE Fellow CIGRE Collective Membership Sponsored by Dominion Virginia Power Engineering Night at Sequoyah Elementary Visiting Scholar Dr. Xiaoru Wang Arrives Jared Baxter Wins "Outstanding Sophmore" Award David Roop, Director of Electric Transmission for Dominion, featured in T&D article Erin Wills to speak at SLC Seminar on Fri., Jan. 9th Jeff Smith, Program Manager, EPRI to Speak at SLC Seminar on Fri., Jan.23 Family Engineering Night at Vine Middle Magnet School Milsoft to present at SLC Industry Seminar on Fri., Jan. 30th Students Visit OPAL-RT in Montreal Dr. Costinett to Present at SLC Seminar on Feb. 6th Dr. Tomsovic to speak at Tuskeegee Dr. Araceli Espinoza to speak at SLC Professional Development Seminar Professor Glauco Taranto Speaks at Rensselaer Polytechnic Institute Dr. Joe Chow visits Hong Kong University Graduate Students Visit Bull Run Steam Generation Plant Dr. Joe Chow Speaks at New York Independent System Operator on Feb. 24 Dr. Isha Sharma to Speak at SLC Industry Seminar on March 6th CIGRE Collective Membership Sponsored by Dominion Virginia Power Dr. David Icove, PE, Gives SLC Professional Development Seminar on Professional Ethics Dr. Ali Abur Speaks at the University of Napoli in Italy on Feb. 13th Jidong "Jack" Chai doing Internship with EPRI in China Ph.D. Students Hesen Liu and Jason Guo Doing Research Internships at Dominion Power Dr. Jan Svensson, Senior Principal Scientist at ABB Corporate Research, to speak at the SLC Industry Seminar on March 20th Dr. Joe Chow speaks at the University of Florida on March 19th Dr. Chien-fei Chen to speak at SLC Seminar on March 27th Dr. Fred Wang to speak on Friday, April 3rd Can Huang and Fengkai Hu to speak at the SLC Seminar on April 10 SLC Meeting to be held on Mon. April 13th SLC Interview Skills Seminar and Social Event on Thur. April 16th Erin Wills to attend the 5th Annual TLSAMP Awards Banquet CURENT and Members of the Industry and Scientific Advisory Boards Hold Strategic Planning Meeting Dr. Kumar Venayagamoorthy, Clemson University, to speak at the SLC Industry Seminar on April 23rd CURENT and NSF sponsor 2015 JST-NSF-DFG-RCN Workshop Dr. Tomsovic Gives Presentation in Washington Dr. Liu attends IEEE Proceedings Editorial Board Meeting Paper by Dr. Li and Dr. Chen ranks in most downloaded list SLC Organizes End of Semester Coffee Break on May 14th Dr. Ali Abur speaks at ABB in Switzerland Papers by CURENT Students and Faculty Win Awards Dr. Ali Abur visits EPFL in Lausanne, Switzerland Mr. Brad Trento presents at Control Architectures for Modular Power Converter Systems Workshop Dr. Ali Abur Speaks at the University of Roma-Tre in Rome Doug Bouler Wins Outstanding Senior Award. REU and RET Educational Outreach Programs Start on Monday, June 1st Jessica Boles Wins Student Leadership Award Professor Suresh Chandra Srivastava Speaks at RPI Dawn Garibay to give SLC Seminar on Interview Skills on Thursday, June 4th Dr. Chow Participates in FREEDM ERC Site Visit Dr. Tolbert Authors Article in How2Power Today magazine Dr. Ali Abur Gives Seminars in Seville, Spain Dr. Chow Speaks at North China Electric Power University Guangya Feng Begins Internship Dr. Chen to lecture at Tsinghua and three other universities Linquan Bai and Haoyu Yuan intern at ABB Dr. Yao Xu accepts Visiting Assistant Professor position at Lamar University Dr. Da Yan to give Seminar on Thur., June 25th Dr. Chen speaks at Tsinghua University Dr. Adegoke Melodi Presents Seminar on Mon., July 13th. Dr. Yilu Liu, Emmanuel Taylor and Gilbert Bindewald Participate in NSF Workshop RPI REU Students Design Solar Radiation Measurement Devices Weimin Zhang Takes Position With Telsa Dr. Wang Welcomes New Students Dr. Pulgar Welcomes New Students Dr. Costinett Welcomes New Students Bin Wang Interns With ISO New England Two UT College of Engineering Groups Finalists for R&D 100 List CURENT's Most Recent Newsletter Is Online! Bill Dickerson to Present at Industry Seminar on Friday, Aug. 28th Dr. Tomsovic Welcomes New Master's Student 2015 Perfect Pitch Competition Dr. Chen receives NSF CRISP Program Award Jessica Boles Wins Perfect Pitch Context Dr. Yilu Liu to give webinar on "GPS Time Synchronized Wide-Area Power Grid Monitoring" UT-Led Engineering Team a Finalist for Google's Little Box Challenge Dr. Joe Chow Delivers Keynote Lecture and Talk in Korea Dr. Bill Sanders to Give Seminar on Monday, October 26th Solar Convergence Laboratory Dedication and Reception Mr. J. Richie Carroll to give Industry Seminar on Fri. Oct. 30th Jessica Boles places 3rd in Perfect Pitch Contest Solar Convergence Laboratory in the News Dr. Aranya Chakrabortty to give Industry Seminar on Fri., Nov. 6th EECS Wins Most Creative in the CoE Halloween Costume Contest SLC Creates LinkedIn Group Dominion Virginia Power Sponsors CIGRE Collective Membership for 2016 RPI Hosts SECO RT-PSE Project Meeting CURENT to host Open House on Fri., Nov. 20th CURENT wins 3rd Place for the Lab Tours and Booth at UTK Engineers Day Dr. Chen's Project Selected for Three Year Grant CURENT Engineering Night at Sequoyah Elementary School Professor Ali Abur to give WebEx talk on "Efficient Detection of Parameter Errors" on Dec.3rd Dr. Chow and Dr. Liu present at the 2015 IEEE General Meeting UT Team, led by Dr. Costinett, is Finalist in Goggle Littlebox Challenge CURENT's Zhan Earns Top Student Honor from NASPI UT Engineers Taking Novel Approach to Power Production, Security SLC Seminar Series kicks off with Wenchao Cao on Friday, Jan. 15th Dr. Chen and Dr. Tomsovic Visit Waseda University to Present Research CURENT SLC Seminar Series on Fri. Jan. 22 features Xiangyu Niu Dr. Antonio Conejo to present the Industry Seminar on Friday, Jan. 29th, Dr. Liu Elected Member of National Academy of Engineering Tennessee Engineering Research Taking a Shot at Improving Solar Energy Dan Toland Writes About Recognizing Female Students as PES Scholars Dominion Technical Solutions, Inc. Donates a Relay Training Panel to NEU Dr. Mariesa Crow to Speak on Feb. 29 in the COE Distinguished Lecture Series Dr. Kai Sun Awarded NSF CAREER Award Inside the Cunning Unprecedented Hack of Ukraine's Power Grid ORNL and CURENT Team Demonstrate CVSR Technology at ARPA-E Summit Dr. Bruno Allard to Present Seminar on Friday, March 18th Women Engineers in Leadership DOE Joint Kickoff Meeting for the NGEM Projects and Power Electronics Traineeship Programs Held April 1, 2016 EPRI Looking for 2016 Summer Intern in Palo Alto Dr. Abur is invited speaker at University of British Columbia Chongwen Zhao and Saeed Anwar win awards at APEC Dr. Fang Peng to Give Talk on April 26th Dr. Alfonso Tarditi to give Seminar on Thursday, April 28th Dr. Nathan Pinney and Mr. Hudson Gilmer to give Industry Seminar on Friday, April 29th Professor Alex Huang of NC State University to Give Seminar on May 12th, Thursday The CURENT Spring 2016 Newsletter Is Out Maeve Lawniczak Receives the Chancellor's Honors Award for Extraordinary Academic Achievement Ailin Asadinejad Recieves 1st Place in the IEEE PES T&D Graduate Student Poster Contest Chongwen Zhao Recieves Chancellor's Honors Award for Extraordinary Professional Promise Dr. Jeff Morroni from Texas Instruments to give Special Seminar on Tuesday, May 24th CURENTs Huang Receives Chinese Government Award Dr. Tolbert Gives Talk in Bejing Rensselaer Polytechnic Institute Teaches Smart Grid Summer Enrichment Program July 11-15 Professor Chow attends 2016 JSS-NSF-DFG-RCN Workshop in Germany Dr. Joe Chow presents Seminars at North China Power University Professor Joe Chow attends NERC Synchrophasor Measurement Subcommittee Dr. Fran Li Recieves Multiple Honors at IEEE PES General Meeting Systers to host "Welcome Back" event on Wed., Aug. 17th Mr. Roger Dungan and Dr. Davis Montenegro from EPRI to give Industry Seminar on Thursday, September 15th Professor Yongdong Li from Tsinghua University to give Seminar on Friday, September 16th Dr. Ryan Quint to give CURENT Industry Seminar on October 14, 2016 CURENT Students Awarded PES Scholarships for 2016-2017 Dr. John "Jack" Lesko to give SLC Seminar on Nov. 4th Dr. Kai Sun and Mr. Bin Wang recognized with Task Team Most Valuable Player award at NASPI CURENT Wins 1st Place in Class III Exhibits at Engineer's Day Dr. Robert Broadwater to Present a Seminar on Friday, December 2 UT-ORNL Governor's Chair Liu Named Fellow of National Academy of Inventors EPRI Posts Hardware Testbed Report Audi Cars Talk To Stoplights Using CURENT Technology Dominion Virginia Power Sponsors CIGRE Collective Membership for 2017 Dr. Yilu Liu Inducted into National Academy of Inventors (NAI). Derek Kou Takes Position with Dominion Virginia Power Hesen Liu, Dao Zhou and Jason Guo Accept Positions at Dominion, Amazon and Google Smart Grid Workshop on Smart Grids Big Data Brent Shumaker of AMS Corporation to give SLC Seminar on Friday, January 27th South Node of NSF Innovation Corps (I-Corps) includes University of Tennessee Dr. Joe Chow Elected to National Academy of Engineering Dale Bradshaw of Electrivation to give Industry Seminar on Friday, February 24 CURENT Education Outreach Holds Four Engineering Nights Faculty, Students Participate in ARPA-E Summit Dale Bradshaw of Electrivation to give Industry Seminar on Friday, March 31 CURENT Attends the 2017 NSBE National Conference Dr. Liu Featured in UT's Tennessee Today Summer Fabus (Church) Receives Bodonheimer Fellowship Dr. Blalock and Dr. Qi Receive Awards at Chancellor's Honors Banquet Dr. Fran Li Named IEEE Fellow CURENT Students Win Awards at Chancellor's Honors Banquet 2017 Site Visit Dates Confirmed Call for Papers - PMAPS 2018 International Conference on Probabilistic Methods Applied to Power Systems Prof. Dong Jiang gives Industry Seminar on May 26 Mr. Blake Lundstrom, NREL, to give SLC Industry Seminar on Thursday, June 15 Lisa Beard Recognized As IEEE Senior Member CURENT Research Results Adopted by Researchers in Japan Erin Wills Takes Position in Chicago CURENT Students Pursue Summer Adventures Robert Cummings of NERC named to CURENT's Scientific Advisory Board Dr. Luigi Vanfretti of RPI and Dr. Philip Top of LLNL give CURENT Industry Seminar Diversity and Inclusion Week is Sept. 25 - 28 Jalonda N. Thompson, Assistant Director for Tickle College of Engineering Office of Diversity Programs, selected for 2017 NAMEPA Outreach Program Award SLC Seminar - Dr. Charles Sims and Dr. Chien-fei Chen Present on September 8th Perfect Pitch Competition - Friday, September 15th ASHRAE Interviews Dr. Chen CURENT 2017 Perfect Pitch Competition - Friday, September 15, 2017 Kamal Sabi Wins Internal Perfect Pitch Contest Phuc Pham and Larry Marshall, and Chongwen Zhao to Present at SLC Seminar on Fri., Sept. 29 SLC Industry Seminar with Mr. Bob Cummings SLC Seminar - Dr. Xiaojing Xu and Ms. Kirsten Dawes on Friday, October 20th Dr. Daryl Armentrout to give SLC Seminar on Fri., Oct. 27th Congratulations to CURENT's 2017-18 PES Scholar Recipients Dr. Hairong Qi recognized as IEEE Fellow Dr. Dorian McCoy to give SLC Industry Seminar on Friday, December 1 Dr. Tao Xia to give the SLC Industry Seminar on Friday, December 15, 2017. SLC Study Day on Wednesday, December 6th Dr. Wang Selected for Induction as National Academy of Inventors Fellow Dominion Energy Sponsors University of Tennessee and CURENT for CIGRE Collective Membership Dr. Chien-fei Chen and Wenyun Ju Kick Off SLC Seminar Series for Spring 2018 Dr. Chen Speaks at Berkely Lab Best Practices in Presentations - SLC Seminar, Friday, January, 19th Dr. Faisal Khan Gives SLC Industry Seminar on Friday, January 26th Stavros Konstantinopoulos and Chengxi Liu Give SLC Seminar on Friday, Feb. 2nd Dr. Tianzhen Hong Gives SLC Seminar on Friday, February 9th Dr. Manimaran Govindarasu gives SLC Seminar on Friday, Feb. 16th. IEEE East Tennessee PES/PELS Joint Society Plans February 15th Social Event EECS, EPRI, IEEE and the University of Tennessee Have Industry Session Dr. Costinett Wins 2017 Innovation Driver Award GEIRINA offers Summer Internships Dr. Garriy Shteynberg Presents SLC Industry Seminar on February 23rd NERC Report - Oct. 9, 2017 Canyon 2 Fire Disturbance Dr. Akiko Taketa to Give SLC Seminar on Friday, March 2nd Ms. Bilqis "Billie" Amatus-Salaam gives SLC Seminar on Friday, March 9th CURENT Coffee Break, Tues. March 6th GMLC Industry Meeting on Sensor Technology Needs & Advancements for the Modern Grid Dr. Mithat Kisacikoglu to Give SLC Seminar on Friday, March 16th Dr. Alberto Castellazzi Gives Student Seminar Mr. Theo Laughner to Give Industry Seminar on March 23rd. IEEE and CURENT Sponsor Alumni Panel Session on March 23rd Coffee Break and Seminar with Dr. Yohei Yamaguchi - Tuesday, March 27 SLC Hosts Faculty Panel on Thursday, March 29th Tickle COE Holds Speed Mentoring Event for Undergraduates Andre Langner and Hantao Cui Give SLC Seminar on Friday, April 6th CURENT Coffee and Conversation, Tues., April 10th SLC Nollywood Film Party on Wed., April 11th Ms. Katherine Prewitt to give Industry Seminar on Friday, April 13th Mr. Doug Cross, ORNL, to give SLC Seminar on Friday, April 20th Dr. Sez Atamturktur and Dr. Russ Marion give SLC Seminar on Friday, April 27 Dr. Chen-Ching Liu to give Seminar CURENT Research Assistant Jacqueline Adams is Fulbright Recipient Register now for PMAPS 2018 Dr. Zheyu Zhang Joins GE Saeed Anwar Wins 3rd Place NSF Innovation Award in EcoCAR3 Competition Dr. Davis in the University of Tennessee News Dr. Lin Zhu Gives Seminar on Monday, July 2 High Density Presentations and Coffee! Dr. Charles Sims Gives Seminar on Tuesday, July 10th Dr. Chien-fei Chen and Dr. Xiaojing Xu Give Seminar on Friday, July 13th Dr. Leon Tolbert Presents Seminar on Thursday, July 12th Geraldo Zarazua de Rubens, Aarhus University, Presents Seminar on Monday, July 9th Summer 2018 Newsletter Available Dr. Sandeep Anand Gives Seminar on Tuesday, July 10 Dr. Marissa E. Morales-Rodriguez to Give Seminar on Thursday, July 19th Dr. Harold Kirkham, PNNL, to give Seminar on Monday, July 23rd First Patent for CURENT Issued for Power Grid Monitoring Dr. Chen to Host RCN-SEES-SHBE Workshop in Singapore Upcoming Power and Energy Seminars Dr. Hua "Kevin" Bai Kicks Off Power and Energy Seminar Series on August 24th Dr. Li Receives Two Honors at IEEE PES General Meeting 2018 The 2018 Industry Day and NSF/ DOE Site Visit - Dec. 4-6 Dr. Shinya Yoshizawa and Akihisa Kaneko to give Power and Energy Seminar on Aug. 31 ORNL and University of Tennessee (CURENT) Included in Latest R&D 100 Awards Finalists Dr. Jim Ostrowski to Give Power and Energy Industry Seminar on Friday, September 14 Dr. Joshua S. Fu Presents the CURENT Power & Energy Seminar on Friday, September 21 ALSET Lab Opens at RPI Power Systems versus Power Electronics? It's a Tie! Hantao Cui and Alec Yen present papers at 2018 NAPS Microgrids in the News Dr. Fred Wang Receives IEEE IAS Industrial Power Conversion Systems Department Gerald Kliman Innovator Award Jordan Sangid and Hantao Cui of UTK Give Power and Energy Seminar on October 12th Dr. Ben York, EPRI, and Mr. Cameron Riley, EPRI, to give Power and Energy Seminar on Friday, October 19th Dr. Pratap Mysore Gives Power and Energy Industry Seminar on Friday, Oct. 26 CURENT Holds Invited Guest Seminars on Thursday, October 25 and Friday, October 26 CURENT Coffee Break - Oct. 31 in MHK 121 Arthur Mouco, Northeastern University, and Horacio Silva, University of Tennessee, Give Power and Energy Seminar on Nov. 2 Dr. Kevin Schneider Gives CURENT Special Seminar on Thur., Nov. 8 Mr. Travis Greenlee Gives Power and Energy Seminar on Friday, November 9th Members of CRIEPI and Tokyo Institute of Technology Give CURENT Special Seminar on Wed., Nov. 7 Dr. Elizabeth Schussler and Dr. Benjamin England Give Power and Energy Seminar on Fri. Nov 16th CURENT Culture of Inclusion Seminar Series - Monday, Nov. 19 & Tuesday, Nov. 20 CURENT's Annual Industry Day and NSF/DOE Site Visit is Dec. 4-6 End of Semester Coffee Break Dr. Kai Sun to give Power & Energy Seminar on Jan.18 Dr. Guangyi Liu of Geirina to give Power and Energy Seminar on Jan. 25th UTRF Newsletter Highlights Dr. Daniel Costinett's Research Dr. Leon Tolbert and Mr. Peter Pham to give CURENT Power and Energy Seminar on Feb. 1 Chinese New Year Celebration Dr. Jamie Coble Wins Four Prestigious Awards Dr. Audris Mockus to give CURENT Power and Energy Seminar on Friday, February 8 Dr. H. Lee Martin to give CURENT Power and Energy Seminar on Friday, February 15 Research Research Thrusts System Testbeds Research Areas Power Electronics Publications Conferences & Meetings Education Pre-college Programs Young Scholars Research Experience for Teachers Adventures in STEM Camp Family Engineering Night CURENT Family Engineering Night Contact Form Pre-college Resource Website Undergraduate Education Undergraduate Opportunities Summer Undergraduate Research (REU) Academic Year Research Experience Graduate Education Graduate Certificate Program & Courses Graduate Research Funding Veteran Education Student Leadership Council Diversity Education Team Industry Industry Members Innovation Partners Industry Advisory Board Industry Retreats Seminar Series Other Seminars Students and Industry People Organization Scientific Advisory Board Leadership Team Council of Deans Faculty Staff Power Electronics Research Groups Power Systems Research Groups Partner Universities Join Industry Graduate Students Undergraduate Students Openings Contact Us Facilities University of Tennessee, Knoxville Rensselaer Polytechnic Institute Tuskegee University Northeastern University Other Facilities Directions Media Survey Home People Faculty Chien-fei Chen Director of Education & Diversity, Research Associate Professor Dr. Chien-fei Chen serves as the Director of Education and Diversity Programs and Research Associate Professor for CURENT. She is also an adjunct faculty member in the department of sociology. Dr. Chen received her Ph.D. in Sociology from Washington State University. Her research in social psychology focuses on how the content and structure of social relations are mediated through social norms, networks, interpersonal communication and related psychological factors at both individual and group levels. Dr. Chens work is especially concerned with the mechanism, transmission and enforcement of social norms; and emphasizes the roles that social-psychological factors have in the influencing of individual decision-making. Her research facilitates the investigation of the social and structural processes that motivate behavioral and psychological changes in relation to issues of energy and technology. Dr. Chens recent research focuses on environmental sociology and interdisciplinary research of energy inequality and justice. The overall goals of her research are to: 1) foster interdisciplinary research and social-technological integration in the areas of power grid resilience, energy conservation behaviors, energy inequality among underserved communities and barriers to alternative sources of energy supply; 2) investigate factors relating to diffusion of renewable energy knowledge, environmental beliefs, attitudes, behaviors and public opinions over environmental issues, 4) integrate social-psychological theories and methodology into engineering modeling to better predict power grid demand, human behaviors and adoption of renewable energy technology; and 5) provide fundamental and practical interdisciplinary knowledge to the general and academic communities, utility companies and policy makers. Specifically, Dr. Chen recent research projects include: 1) social-psychological factors affecting demand response and energy efficiency behaviors in both residential and commercial buildings; and 2) public acceptance of grid and renewable energy technologies (e.g., solar panels, electric vehicles). Her publications appear in the IEEE, Energy Research and Social Science, Journal of Environmental Psychology, American Sociological Association, Behavior, Energy and Climate Change Conference, and others. Since 2011, she has been the lead in the linkage of social psychology and grid technologies for CURENT. She has also been involved in the investigation of social psychological factors affecting building occupant behaviors for the International Energy Agency (IEA), Energy in Buildings and Communities (EBC) Annex 66. Additionally, she leads the sustainability education program for the NSF-REC-SEES Network: Predictive Modeling Network for Sustainable Human-Building Ecosystems (SHBE). Dr. Chen most recently received several grant awards from NSF to conduct interdisciplinary studies regarding social-psychological factors and micro-grid resilience and acceptance of grid technologies. Curriculum Vitae Research Fact Sheet Contact Dr. Chen E-mail Address: cchen26@utk.edu Mailing Address: 508 Min H. Kao Building The University of Tennessee Knoxville, TN 37996-2250 Telephone Numbers: Office (voice): (865) 974-3787 This website was supported by the Engineering Research Center Program of the National Science Foundation and the Department of Energy under NSF Award Number EEC-1041877 and the CURENT Industry Partnership Program. Any opinions, findings and conclusions or recommendations expressed in the material on this website are those of the author(s) and do not necessarily reflect those of the National Science Foundation and the Department of Energy. 2019 Center for Ultra-Wide-Area Resilient Electric Energy Transmission Networks. All Rights Reserved. Documentation . Sign In diff --git a/src/data/compiled_bios/4671.txt b/src/data/compiled_bios/4671.txt new file mode 100644 index 0000000000..3a49323df4 --- /dev/null +++ b/src/data/compiled_bios/4671.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. Roger Horn Research Professor Contact Information Email: rhorn@utk.edu Mailing Address: Min H. Kao Building, Room 318 1520 Middle Drive Knoxville, TN 37996-2250 Office Phone: 865-974-3461 Office Fax: 865-974-5483 Areas of Interest Neuromorphic Computing Machine Learning Image and Pattern Recognition Education PhD in Electrical Engineering, University of Tennessee, Knoxville, 1992 PhD Thesis: Decision Tree Modulators for Power Electronics Applications Advisor: Dr. J. Douglas Birdwell MS in Electrical Engineering, University of California, Berkeley, 1984 BS in Electrical Engineering, University of California, Berkeley, 1978 Background Roger Horn is a research professor in the department of Electrical Engineering and Computer Scienceat the University of Tennessee, Knoxville. He is also a Senior Consultant for Process DesignConsultants (Kitty Hawk, NC), for which he analyzes digital systems embedded in components used inthe highly regulated nuclear power and medical devices industries. Dr. Horn previously worked forData Refining Technologies (Plaquemine, LA), Varian Associates (Walnut Creek, CA), Hewlett-Packard H-P Labs (Palo Alto, CA), and Lawrence Berkeley National Laboratory (Berkeley, CA). He isthe co-holder of eleven U.S. Patents. Dr. Horn is a Registered Professional Engineer (TN), a member of the NSPE and IEEE, and a memberof the IEEE Control Systems Society and IEEE Robotics and Automation Society. Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4672.txt b/src/data/compiled_bios/4672.txt new file mode 100644 index 0000000000..19447771a9 --- /dev/null +++ b/src/data/compiled_bios/4672.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. Shutang Steve You Research Assistant Professor Contact Information Email: syou3@vols.utk.edu Mailing Address: Min H. Kao Building, Room 412 1520 Middle Drive Knoxville, TN 37996-2250 Office Phone: TBA Office Fax: 865-974-5483 Areas of Interest Power systems and smart grid Education PhD in Electrical Engineering, University of Tennessee, Knoxville, 2017 MS in Electrical Engineering, Xian Jiaotong University, China, 2014 BS in Electrical Engineering, Xian Jiaotong University, China, 2011 Background Shutang (Steve) You is a research assistant professor in the Min H. Kao Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville. His research is mainly conducted within the CURENT center. His research interests include power grid frequency response, electromechanical waves and oscillations. He is a member of the IEEE Power & Energy Society. Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4673.txt b/src/data/compiled_bios/4673.txt new file mode 100644 index 0000000000..38163e768c --- /dev/null +++ b/src/data/compiled_bios/4673.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. Lin Zhu Research Assistant Professor Contact Information Email: lzhu12@utk.edu Mailing Address: Min H. Kao Building, Room TBA 1520 Middle Drive Knoxville, TN 37996-2250 Office Phone: TBA Office Fax: 865-974-5483 Areas of Interest Power system monitoring, protection and control Education Ph.D. in Electrical Engineering, Huazhong University of Science and Technology, Wuhan, China, 2011 B.S. in Electrical Engineering, Huazhong University of Science and Technology, Wuhan, China, 2005 Background Lin Zhu is a research assistant professor in the Min H. Kao Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville (UTK). Earlier, he worked as a research associate at UTK. Dr. Zhu is a member of the IEEE and a member of the IEEE Power and Energy Society. His current research activities focus on wide-area damping control, smart distribution grid, and microgrid. Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4674.txt b/src/data/compiled_bios/4674.txt new file mode 100644 index 0000000000..4d68564607 --- /dev/null +++ b/src/data/compiled_bios/4674.txt @@ -0,0 +1 @@ + Skip to main content About Us ABOUT Brochure Fact Sheets History Honors and Awards Org Charts ORGANIZATION Directorates Divisions Leadership Team CAREERS Job Openings Working at ORNL Diversity Students and Recent Graduates Fellowships VISIT ORNL Interactive Map Getting to ORNL Getting Around ORNL Airport Information Regional Information Before You Arrive RESEARCH Hubs, Centers, and Institutes ORNL Programs Areas of Science Research Library COMMUNITY OUTREACH Corporate Giving Matching Gifts Fund Team UT-Battelle User Facilities ___ Building Technologies Research and Integration Center Carbon Fiber Technology Center Oak Ridge Leadership Computing Facility ___ Spallation Neutron Source High Flux Isotope Reactor Manufacturing Demonstration Facility ___ Center for Nanophase Material Sciences Center for Structural Molecular Biology National Transportation Research Center Science and Discovery ___ Advanced Materials Clean Energy National Security ___ Neutron Science Nuclear Science Supercomputing ___ Exascale Computing Project Hubs, Centers, and Institutes US ITER News Our People ___ Contact Us Media Contacts ___ Directorate Contacts Division Contacts ___ User Facility Contacts Experts List Careers About Us ABOUT Brochure Fact Sheets History Honors and Awards Org Charts ORGANIZATIONS Directorates Divisions Leadership Team CAREERS Job Openings Working at ORNL Diversity VISIT ORNL Interactive Map Getting to ORNL Getting Around ORNL Airport Information Regional Information Before You Arrive RESEARCH Hubs, Centers, and Institutes ORNL Programs Research Library COMMUNITY OUTREACH Corporate Giving Matching Gifts Fund Team UT-Battelle User Facilities Building Technologies Research and Integration Center Carbon Fiber Technology Center Oak Ridge Leadership Computing Facility Spallation Neutron Source High Flux Isotope Reactor Manufacturing Demonstration Facility Center for Nanophase Material Sciences Center for Structural Molecular Biology National Transportation Research Center Science and Discovery Advanced Materials Clean Energy National Security Neutron Science Nuclear Science Supercomputing Exascale Computing Project Hubs, Centers, and Institutes US ITER News Our People Contact Us Media Contacts Directorate Contacts Division Contacts User Facility Contacts Experts List Careers Contact Information anantharajvg@ornl.gov 865.576.2258 orcid.org/0000-0002-9356-1311 Valentine G Anantharaj Publications Fidelity of Precipitation Extremes In High Resolution Global Climate Simulations Fidelity of precipitation extremes in high-resolution global climate simulations, Procedia Computer Science Fidelity of precipitation extremes in high-resolution global climate simulations Augmenting Satellite Precipitation Estimation with Lightning Information A Linear Merging Methodology for High-resolution Precipitation Products Using Spatiotemporal Regression Pagination Current page 1 Page 2 Page 3 Next page Last page Last view all Oak Ridge National Laboratory is managed by UT-Battelle for the US Department of Energy Footer First Row USER FACILITIES Building Technologies Research and Integration Center Carbon Fiber Technology Center Center for Nanophase Material Sciences Center for Structural Molecular Biology High Flux Isotope Reactor Manufacturing Demonstration Facility National Transportation Research Center Oak Ridge Leadership Computing Facility Spallation Neutron Source SCIENCE & DISCOVERY Advanced Materials Clean Energy National Security Neutron Science Nuclear Science Supercomputing US ITER Hubs, Centers, and Institutes ABOUT US Brochure Fact Sheets Leadership Team Diversity History Lab-Directed R&D Environmental Policy Footer Second Row FOR THE PUBLIC News Community Outreach Educational Programs Corporate Giving History Careers Visit ORNL Contact Us FOR RESEARCHERS User Facilities Research Library Science and Discovery Lab-Directed R&D Careers Visit ORNL Contact Us FOR ACADEMIA Educational Programs Science and Discovery Research Library User Facilities Careers News Visit ORNL Contact Us FOR INDUSTRY Work with ORNL Economic Development Procurement Small Business Programs Careers Visit ORNL Contact Us Contact Us Site Links FAQs People User Facilities Internal Users Privacy Accessibility/508 Nondiscrimination/1557 Index Contact Us diff --git a/src/data/compiled_bios/4675.txt b/src/data/compiled_bios/4675.txt new file mode 100644 index 0000000000..2cece77f05 --- /dev/null +++ b/src/data/compiled_bios/4675.txt @@ -0,0 +1 @@ + Skip to main content About Us ABOUT Brochure Fact Sheets History Honors and Awards Org Charts ORGANIZATION Directorates Divisions Leadership Team CAREERS Job Openings Working at ORNL Diversity Students and Recent Graduates Fellowships VISIT ORNL Interactive Map Getting to ORNL Getting Around ORNL Airport Information Regional Information Before You Arrive RESEARCH Hubs, Centers, and Institutes ORNL Programs Areas of Science Research Library COMMUNITY OUTREACH Corporate Giving Matching Gifts Fund Team UT-Battelle User Facilities ___ Building Technologies Research and Integration Center Carbon Fiber Technology Center Oak Ridge Leadership Computing Facility ___ Spallation Neutron Source High Flux Isotope Reactor Manufacturing Demonstration Facility ___ Center for Nanophase Material Sciences Center for Structural Molecular Biology National Transportation Research Center Science and Discovery ___ Advanced Materials Clean Energy National Security ___ Neutron Science Nuclear Science Supercomputing ___ Exascale Computing Project Hubs, Centers, and Institutes US ITER News Our People ___ Contact Us Media Contacts ___ Directorate Contacts Division Contacts ___ User Facility Contacts Experts List Careers About Us ABOUT Brochure Fact Sheets History Honors and Awards Org Charts ORGANIZATIONS Directorates Divisions Leadership Team CAREERS Job Openings Working at ORNL Diversity VISIT ORNL Interactive Map Getting to ORNL Getting Around ORNL Airport Information Regional Information Before You Arrive RESEARCH Hubs, Centers, and Institutes ORNL Programs Research Library COMMUNITY OUTREACH Corporate Giving Matching Gifts Fund Team UT-Battelle User Facilities Building Technologies Research and Integration Center Carbon Fiber Technology Center Oak Ridge Leadership Computing Facility Spallation Neutron Source High Flux Isotope Reactor Manufacturing Demonstration Facility Center for Nanophase Material Sciences Center for Structural Molecular Biology National Transportation Research Center Science and Discovery Advanced Materials Clean Energy National Security Neutron Science Nuclear Science Supercomputing Exascale Computing Project Hubs, Centers, and Institutes US ITER News Our People Contact Us Media Contacts Directorate Contacts Division Contacts User Facility Contacts Experts List Careers Contact Information begolie@ornl.gov 865.576.0599 orcid.org/0000-0002-2173-3663 Edmon Begoli Director - Scalable Protected Data Facilities (SPDF), National Center for Computational Sciences (NCCS) Download CV Bio Edmon Begoli, PhD, is the director of scalable protected data facilities (SPDF) at Oak Ridge National Laboratory (ORNL). In this role, Edmon is responsible for research and designof advanced, large-scale systems for computing on protecteddata. He also currently serves as the Principal Investigator (PI) for the joint DOE and VA precision medicine program (MVP CHAMPION). During his tenure at ORNL, Edmon also led several major national projects in healthcare and defense, and was a chief architect for Knowledge Discovery Initiative (KDI) for Centers for Medicare and Medicaid Services (CMS) -- a large national program aimed at developing a platform for comprehensive and longitudinal analysis of the large, structured healthcare datasets (CMS data). Prior to serving as the Chief Data Architect at ORNL, Edmon was a Chief Data Officer at the Joint Institute for Computational Sciences/National Institute for Computational Sciences (JICS/NICS), a NSF funded XSEDE national supercomputing facility and a joint institute between ORNL and University of Tennessee (UT). While at JICS, Edmon was one of the core members of the team that won and established the NSF-funded Southeast "Big Data" Hub, and was a principal investigator on a research project for the Intel Parallel Computing Center (PCC). Prior to working at the research institutes, Dr. Begoli held technology leadership positions at atechnology startup, and the large commercial organizations. Edmonis a member of the IEEE, ACM, and Apache Software Foundation (ASF) where he is a committer on the Apache Calcite project. He is also a principal member of the INCIT DM32.2 Task Group on Data Management and Databases . Edmon holds undergraduate, graduate (University of Colorado-Boulder), and doctoral degrees (University of Tennessee)in Computer Science. LinkedIn Profile Awards Heidelberg Laureate Forum - Early Career Researcher, 2016. Mentor: Sir Michael Atiyah Nashville Technology Council (NTC) - CTO of the Year, finalist, 2014 Tennessee Commissioner Mitchel (Department of Safety), A Letter of Commendation, 2011 OPM e-Government Initiative, NSC Y-12 Team Award, 2005 Made in Express, Microsoft Global Programming Competition, finalist, 2005 Lucent Technologies, EAI Implementation, CIOs Letter of Commendation for Outstanding Performance, 2002 Multiple Undergraduate Honors, Magna Cum Laude, Upsilon Pi Epsilon CS Honors Society Publications Hierarchical Cluster Analysis of Service Usage and Geographic Variation In Medicare Spending performance Implications from Sizing a Vm on Multi-core Systems: A Data Analytic Applications View Design Principles for Effective Knowledge Discovery from Big Data A Short Survey on the State of the Art In Architectures and Platforms for Large Scale Data Analysis and Knowledge Discovery from Data Big Data Platforms as a Service: Challenges and Approach Pagination Current page 1 Page 2 Next page Last page Last view all Oak Ridge National Laboratory is managed by UT-Battelle for the US Department of Energy Footer First Row USER FACILITIES Building Technologies Research and Integration Center Carbon Fiber Technology Center Center for Nanophase Material Sciences Center for Structural Molecular Biology High Flux Isotope Reactor Manufacturing Demonstration Facility National Transportation Research Center Oak Ridge Leadership Computing Facility Spallation Neutron Source SCIENCE & DISCOVERY Advanced Materials Clean Energy National Security Neutron Science Nuclear Science Supercomputing US ITER Hubs, Centers, and Institutes ABOUT US Brochure Fact Sheets Leadership Team Diversity History Lab-Directed R&D Environmental Policy Footer Second Row FOR THE PUBLIC News Community Outreach Educational Programs Corporate Giving History Careers Visit ORNL Contact Us FOR RESEARCHERS User Facilities Research Library Science and Discovery Lab-Directed R&D Careers Visit ORNL Contact Us FOR ACADEMIA Educational Programs Science and Discovery Research Library User Facilities Careers News Visit ORNL Contact Us FOR INDUSTRY Work with ORNL Economic Development Procurement Small Business Programs Careers Visit ORNL Contact Us Contact Us Site Links FAQs People User Facilities Internal Users Privacy Accessibility/508 Nondiscrimination/1557 Index Contact Us diff --git a/src/data/compiled_bios/4676.txt b/src/data/compiled_bios/4676.txt new file mode 100644 index 0000000000..53e5c82603 --- /dev/null +++ b/src/data/compiled_bios/4676.txt @@ -0,0 +1 @@ + Skip to main content About Us ABOUT Brochure Fact Sheets History Honors and Awards Org Charts ORGANIZATION Directorates Divisions Leadership Team CAREERS Job Openings Working at ORNL Diversity Students and Recent Graduates Fellowships VISIT ORNL Interactive Map Getting to ORNL Getting Around ORNL Airport Information Regional Information Before You Arrive RESEARCH Hubs, Centers, and Institutes ORNL Programs Areas of Science Research Library COMMUNITY OUTREACH Corporate Giving Matching Gifts Fund Team UT-Battelle User Facilities ___ Building Technologies Research and Integration Center Carbon Fiber Technology Center Oak Ridge Leadership Computing Facility ___ Spallation Neutron Source High Flux Isotope Reactor Manufacturing Demonstration Facility ___ Center for Nanophase Material Sciences Center for Structural Molecular Biology National Transportation Research Center Science and Discovery ___ Advanced Materials Clean Energy National Security ___ Neutron Science Nuclear Science Supercomputing ___ Exascale Computing Project Hubs, Centers, and Institutes US ITER News Our People ___ Contact Us Media Contacts ___ Directorate Contacts Division Contacts ___ User Facility Contacts Experts List Careers About Us ABOUT Brochure Fact Sheets History Honors and Awards Org Charts ORGANIZATIONS Directorates Divisions Leadership Team CAREERS Job Openings Working at ORNL Diversity VISIT ORNL Interactive Map Getting to ORNL Getting Around ORNL Airport Information Regional Information Before You Arrive RESEARCH Hubs, Centers, and Institutes ORNL Programs Research Library COMMUNITY OUTREACH Corporate Giving Matching Gifts Fund Team UT-Battelle User Facilities Building Technologies Research and Integration Center Carbon Fiber Technology Center Oak Ridge Leadership Computing Facility Spallation Neutron Source High Flux Isotope Reactor Manufacturing Demonstration Facility Center for Nanophase Material Sciences Center for Structural Molecular Biology National Transportation Research Center Science and Discovery Advanced Materials Clean Energy National Security Neutron Science Nuclear Science Supercomputing Exascale Computing Project Hubs, Centers, and Institutes US ITER News Our People Contact Us Media Contacts Directorate Contacts Division Contacts User Facility Contacts Experts List Careers Contact Information brittoncl@ornl.gov 865.576.6524 orcid.org/0000-0001-6499-4583 Charles L Britton Jr Group Leader Download CV Bio Dr. Chuck Britton is a Distinguished R&D Staff Member and Group Leader of the Safeguards and Security Technology Group at Oak Ridge National Laboratory and is an ORNL/UT Joint Faculty member of the Min H. Kao Department of Electrical Engineering and Computer Science at the University of Tennessee. He received his B.S, M.S.E.E., and Ph.D. all from the University of Tennessee. He worked for Hewlett-Packard Co., E.G. & G. ORTEC, and North American Philips prior to coming to ORNL. He has worked on electronics for PHENIX at RHIC, heavy-ion experiments at CERN, SANS detector electronics for the SNS, solid state neutron detectors, and the first 2-D neutron pixel detector. His career focus has been in the area of custom integrated circuit design for a variety of disciplines. He most recently was involved in the design of fast, low-power mixed-signal CMOS electronics for The Fieldable Nuclear Materials Identification System (FNMIS) for NA-22, the Time-Projection-Chamber (TPC) upgrade for the ALICE collaboration at CERN, radiation-hardened analog integrated circuits for space exploration and reactor accident cleanup applications and direct-sequence, spread-spectrum (DSSS) radio communications for remote sensor applications. In addition, he is currently managing the hardware development for the Authenticatable Container Tracking System (ACTS) for the DOE EM Packaging Certification Program. He has over 100 publications 21 issued patents in the field of electronics and integrated circuit design. He is the recipient of a 2014 R&D100 award and is also Associate Editor, IEEE Transactions on Nuclear Science. Publications A Novel Technique Applying Spectral Estimation to Johnson Noise Thermometry Radiation-hardened Circuitry Using Mask-programmable Analog Arrays: Final Report Completion of Level 4 Milestone M4at-15or2301039 for the Johnson Noise Thermometry for Drift-free Temperature Measurements Work Package At-15or230103. Letter Report of the Self-calibration Testing of the Johnson Noise Thermometry System Recent Fast Neutron Imaging Measurements with the Fieldable Nuclear Materials Identification System Pagination Current page 1 Page 2 Page 3 Next page Last page Last view all Oak Ridge National Laboratory is managed by UT-Battelle for the US Department of Energy Footer First Row USER FACILITIES Building Technologies Research and Integration Center Carbon Fiber Technology Center Center for Nanophase Material Sciences Center for Structural Molecular Biology High Flux Isotope Reactor Manufacturing Demonstration Facility National Transportation Research Center Oak Ridge Leadership Computing Facility Spallation Neutron Source SCIENCE & DISCOVERY Advanced Materials Clean Energy National Security Neutron Science Nuclear Science Supercomputing US ITER Hubs, Centers, and Institutes ABOUT US Brochure Fact Sheets Leadership Team Diversity History Lab-Directed R&D Environmental Policy Footer Second Row FOR THE PUBLIC News Community Outreach Educational Programs Corporate Giving History Careers Visit ORNL Contact Us FOR RESEARCHERS User Facilities Research Library Science and Discovery Lab-Directed R&D Careers Visit ORNL Contact Us FOR ACADEMIA Educational Programs Science and Discovery Research Library User Facilities Careers News Visit ORNL Contact Us FOR INDUSTRY Work with ORNL Economic Development Procurement Small Business Programs Careers Visit ORNL Contact Us Contact Us Site Links FAQs People User Facilities Internal Users Privacy Accessibility/508 Nondiscrimination/1557 Index Contact Us diff --git a/src/data/compiled_bios/4677.txt b/src/data/compiled_bios/4677.txt new file mode 100644 index 0000000000..203e67d8a6 --- /dev/null +++ b/src/data/compiled_bios/4677.txt @@ -0,0 +1 @@ + Skip to main content About Us ABOUT Brochure Fact Sheets History Honors and Awards Org Charts ORGANIZATION Directorates Divisions Leadership Team CAREERS Job Openings Working at ORNL Diversity Students and Recent Graduates Fellowships VISIT ORNL Interactive Map Getting to ORNL Getting Around ORNL Airport Information Regional Information Before You Arrive RESEARCH Hubs, Centers, and Institutes ORNL Programs Areas of Science Research Library COMMUNITY OUTREACH Corporate Giving Matching Gifts Fund Team UT-Battelle User Facilities ___ Building Technologies Research and Integration Center Carbon Fiber Technology Center Oak Ridge Leadership Computing Facility ___ Spallation Neutron Source High Flux Isotope Reactor Manufacturing Demonstration Facility ___ Center for Nanophase Material Sciences Center for Structural Molecular Biology National Transportation Research Center Science and Discovery ___ Advanced Materials Clean Energy National Security ___ Neutron Science Nuclear Science Supercomputing ___ Exascale Computing Project Hubs, Centers, and Institutes US ITER News Our People ___ Contact Us Media Contacts ___ Directorate Contacts Division Contacts ___ User Facility Contacts Experts List Careers About Us ABOUT Brochure Fact Sheets History Honors and Awards Org Charts ORGANIZATIONS Directorates Divisions Leadership Team CAREERS Job Openings Working at ORNL Diversity VISIT ORNL Interactive Map Getting to ORNL Getting Around ORNL Airport Information Regional Information Before You Arrive RESEARCH Hubs, Centers, and Institutes ORNL Programs Research Library COMMUNITY OUTREACH Corporate Giving Matching Gifts Fund Team UT-Battelle User Facilities Building Technologies Research and Integration Center Carbon Fiber Technology Center Oak Ridge Leadership Computing Facility Spallation Neutron Source High Flux Isotope Reactor Manufacturing Demonstration Facility Center for Nanophase Material Sciences Center for Structural Molecular Biology National Transportation Research Center Science and Discovery Advanced Materials Clean Energy National Security Neutron Science Nuclear Science Supercomputing Exascale Computing Project Hubs, Centers, and Institutes US ITER News Our People Contact Us Media Contacts Directorate Contacts Division Contacts User Facility Contacts Experts List Careers Contact Information bucknerma@ornl.gov 865.574.5859 orcid.org/0000-0002-4220-8067 Mark A Buckner Group Leader, Power and Energy Systems Publications Software-defined Intelligent Grid Research Integration and Development Platform Scoping Study on Research and Development Priorities for Distribution-system Phasor Measurement Units Machine Learning for Power System Disturbance and Cyber-attack Discrimination An Evaluation of Machine Learning Methods to Detect Malicious Scada Communications Enhancing Network Security Using 'learning-from-signals' And Fractional Fourier Transform Based Rf-dna Fingerprints Pagination Current page 1 Page 2 Page 3 Next page Last page Last view all Oak Ridge National Laboratory is managed by UT-Battelle for the US Department of Energy Footer First Row USER FACILITIES Building Technologies Research and Integration Center Carbon Fiber Technology Center Center for Nanophase Material Sciences Center for Structural Molecular Biology High Flux Isotope Reactor Manufacturing Demonstration Facility National Transportation Research Center Oak Ridge Leadership Computing Facility Spallation Neutron Source SCIENCE & DISCOVERY Advanced Materials Clean Energy National Security Neutron Science Nuclear Science Supercomputing US ITER Hubs, Centers, and Institutes ABOUT US Brochure Fact Sheets Leadership Team Diversity History Lab-Directed R&D Environmental Policy Footer Second Row FOR THE PUBLIC News Community Outreach Educational Programs Corporate Giving History Careers Visit ORNL Contact Us FOR RESEARCHERS User Facilities Research Library Science and Discovery Lab-Directed R&D Careers Visit ORNL Contact Us FOR ACADEMIA Educational Programs Science and Discovery Research Library User Facilities Careers News Visit ORNL Contact Us FOR INDUSTRY Work with ORNL Economic Development Procurement Small Business Programs Careers Visit ORNL Contact Us Contact Us Site Links FAQs People User Facilities Internal Users Privacy Accessibility/508 Nondiscrimination/1557 Index Contact Us diff --git a/src/data/compiled_bios/4678.txt b/src/data/compiled_bios/4678.txt new file mode 100644 index 0000000000..f3e8a4a3f0 --- /dev/null +++ b/src/data/compiled_bios/4678.txt @@ -0,0 +1 @@ + Skip to main content About Us ABOUT Brochure Fact Sheets History Honors and Awards Org Charts ORGANIZATION Directorates Divisions Leadership Team CAREERS Job Openings Working at ORNL Diversity Students and Recent Graduates Fellowships VISIT ORNL Interactive Map Getting to ORNL Getting Around ORNL Airport Information Regional Information Before You Arrive RESEARCH Hubs, Centers, and Institutes ORNL Programs Areas of Science Research Library COMMUNITY OUTREACH Corporate Giving Matching Gifts Fund Team UT-Battelle User Facilities ___ Building Technologies Research and Integration Center Carbon Fiber Technology Center Oak Ridge Leadership Computing Facility ___ Spallation Neutron Source High Flux Isotope Reactor Manufacturing Demonstration Facility ___ Center for Nanophase Material Sciences Center for Structural Molecular Biology National Transportation Research Center Science and Discovery ___ Advanced Materials Clean Energy National Security ___ Neutron Science Nuclear Science Supercomputing ___ Exascale Computing Project Hubs, Centers, and Institutes US ITER News Our People ___ Contact Us Media Contacts ___ Directorate Contacts Division Contacts ___ User Facility Contacts Experts List Careers About Us ABOUT Brochure Fact Sheets History Honors and Awards Org Charts ORGANIZATIONS Directorates Divisions Leadership Team CAREERS Job Openings Working at ORNL Diversity VISIT ORNL Interactive Map Getting to ORNL Getting Around ORNL Airport Information Regional Information Before You Arrive RESEARCH Hubs, Centers, and Institutes ORNL Programs Research Library COMMUNITY OUTREACH Corporate Giving Matching Gifts Fund Team UT-Battelle User Facilities Building Technologies Research and Integration Center Carbon Fiber Technology Center Oak Ridge Leadership Computing Facility Spallation Neutron Source High Flux Isotope Reactor Manufacturing Demonstration Facility Center for Nanophase Material Sciences Center for Structural Molecular Biology National Transportation Research Center Science and Discovery Advanced Materials Clean Energy National Security Neutron Science Nuclear Science Supercomputing Exascale Computing Project Hubs, Centers, and Institutes US ITER News Our People Contact Us Media Contacts Directorate Contacts Division Contacts User Facility Contacts Experts List Careers Contact Information cochraner@ornl.gov 865.576.2830 Eugene Cochran III Senior Commercialization Manager Download CV Bio Eugene Cochran is a Senior Commercialization Manager at Oak Ridge National Laboratory (ORNL) where his focus is on intellectual property management and technology commercialization. In addition to holding past technical staff positions with IBM, Perkin-Elmer, GCA/Tropel, and WYKO he has over eight years experience in the design and development of optical systems. Cochran has over twenty-five years experience in the field of technology transfer and early stage venture development. Early in his career he served as a Director within the Commercialization Group of Research Corporation Technologies (RCT). In this position Eugene was responsible for the evaluation and commercialization of inventions in several fields including medical devices, biotechnology, physics, materials, and instrumentation. He gained considerable exposure to a broad range of technologies and markets, while demonstrating considerable success in licensing patents and starting, early-stage, high tech companies.Immediately prior to joining ORNL, Eugene served as a Senior Licensing Associate and the Sector Director for Physical Sciences at the University of Arizona Office For Technology Transfer. While in that position Eugene provided assistance to the faculty in perfecting patent rights, and helping to commercialize university based inventions and technologies. During his time at the university he also held the position of the Administrative Director, in the Center for Integrated Access Networks. As the Administrative Director he assisted in the management of an $18.5M plus budget of the NSF Engineering Research Center.Eugene holds a PhD in Optical Sciences, as well as a strong professional background in technology commercialization. In addition, his expertise includes the evaluation, administration and management of early stage technology start-ups. His experience in this area includes setting up early-stage ventures, business valuation, administration management, writing of business and development plans, management of intellectual property, licensing, funding new ventures, and strategic planning. Awards Larry Dickens Technology Transfer Award 2015FLC Award for Technology Transfer 2017 - Superhydrophobic Transparent Glass Thin Film Innovation License to SamsungFLC Award for Technology Transfer 2018 - ORNL's Co-Development and Licensing of Large Additive Area Manufacturing TechnologiesUT-Battelle Awards Night 2017 - Technology TransferUT-Battelle Awards Night 2018 - Technology Transfer Patents E. Cochran, D. Cohen, and J. Ayres, "Apparatus and Method for Automatically Focusing an Interference Microscope," US patent no. 4,931,630.E. Cochran, D. Cohen, and J. Ayres, "Apparatus and Method for Automatically Focusing an Interference Microscope," US patent no. 5,122,648. Oak Ridge National Laboratory is managed by UT-Battelle for the US Department of Energy Footer First Row USER FACILITIES Building Technologies Research and Integration Center Carbon Fiber Technology Center Center for Nanophase Material Sciences Center for Structural Molecular Biology High Flux Isotope Reactor Manufacturing Demonstration Facility National Transportation Research Center Oak Ridge Leadership Computing Facility Spallation Neutron Source SCIENCE & DISCOVERY Advanced Materials Clean Energy National Security Neutron Science Nuclear Science Supercomputing US ITER Hubs, Centers, and Institutes ABOUT US Brochure Fact Sheets Leadership Team Diversity History Lab-Directed R&D Environmental Policy Footer Second Row FOR THE PUBLIC News Community Outreach Educational Programs Corporate Giving History Careers Visit ORNL Contact Us FOR RESEARCHERS User Facilities Research Library Science and Discovery Lab-Directed R&D Careers Visit ORNL Contact Us FOR ACADEMIA Educational Programs Science and Discovery Research Library User Facilities Careers News Visit ORNL Contact Us FOR INDUSTRY Work with ORNL Economic Development Procurement Small Business Programs Careers Visit ORNL Contact Us Contact Us Site Links FAQs People User Facilities Internal Users Privacy Accessibility/508 Nondiscrimination/1557 Index Contact Us diff --git a/src/data/compiled_bios/4679.txt b/src/data/compiled_bios/4679.txt new file mode 100644 index 0000000000..26bcc2050c --- /dev/null +++ b/src/data/compiled_bios/4679.txt @@ -0,0 +1 @@ + Skip to main content About Us ABOUT Brochure Fact Sheets History Honors and Awards Org Charts ORGANIZATION Directorates Divisions Leadership Team CAREERS Job Openings Working at ORNL Diversity Students and Recent Graduates Fellowships VISIT ORNL Interactive Map Getting to ORNL Getting Around ORNL Airport Information Regional Information Before You Arrive RESEARCH Hubs, Centers, and Institutes ORNL Programs Areas of Science Research Library COMMUNITY OUTREACH Corporate Giving Matching Gifts Fund Team UT-Battelle User Facilities ___ Building Technologies Research and Integration Center Carbon Fiber Technology Center Oak Ridge Leadership Computing Facility ___ Spallation Neutron Source High Flux Isotope Reactor Manufacturing Demonstration Facility ___ Center for Nanophase Material Sciences Center for Structural Molecular Biology National Transportation Research Center Science and Discovery ___ Advanced Materials Clean Energy National Security ___ Neutron Science Nuclear Science Supercomputing ___ Exascale Computing Project Hubs, Centers, and Institutes US ITER News Our People ___ Contact Us Media Contacts ___ Directorate Contacts Division Contacts ___ User Facility Contacts Experts List Careers About Us ABOUT Brochure Fact Sheets History Honors and Awards Org Charts ORGANIZATIONS Directorates Divisions Leadership Team CAREERS Job Openings Working at ORNL Diversity VISIT ORNL Interactive Map Getting to ORNL Getting Around ORNL Airport Information Regional Information Before You Arrive RESEARCH Hubs, Centers, and Institutes ORNL Programs Research Library COMMUNITY OUTREACH Corporate Giving Matching Gifts Fund Team UT-Battelle User Facilities Building Technologies Research and Integration Center Carbon Fiber Technology Center Oak Ridge Leadership Computing Facility Spallation Neutron Source High Flux Isotope Reactor Manufacturing Demonstration Facility Center for Nanophase Material Sciences Center for Structural Molecular Biology National Transportation Research Center Science and Discovery Advanced Materials Clean Energy National Security Neutron Science Nuclear Science Supercomputing Exascale Computing Project Hubs, Centers, and Institutes US ITER News Our People Contact Us Media Contacts Directorate Contacts Division Contacts User Facility Contacts Experts List Careers Contact Information ericsonmn@ornl.gov 865.574.5637 orcid.org/0000-0002-6628-4865 Milton Nance Ericson Publications Characterization of a Reversible Thermally-actuated Polymer-valve: A Potential Dynamic Treatment for Congenital Diaphragmatic Hernia A Novel Technique Applying Spectral Estimation to Johnson Noise Thermometry Mobile Gait Analysis System for Lower Limb Amputee High-level Activity Rehabilitation - 2015 Annual Report Radiation-hardened Circuitry Using Mask-programmable Analog Arrays: Final Report Disruption Mitigation System Developments and Design for Iter Pagination Current page 1 Page 2 Page 3 Next page Last page Last view all Oak Ridge National Laboratory is managed by UT-Battelle for the US Department of Energy Footer First Row USER FACILITIES Building Technologies Research and Integration Center Carbon Fiber Technology Center Center for Nanophase Material Sciences Center for Structural Molecular Biology High Flux Isotope Reactor Manufacturing Demonstration Facility National Transportation Research Center Oak Ridge Leadership Computing Facility Spallation Neutron Source SCIENCE & DISCOVERY Advanced Materials Clean Energy National Security Neutron Science Nuclear Science Supercomputing US ITER Hubs, Centers, and Institutes ABOUT US Brochure Fact Sheets Leadership Team Diversity History Lab-Directed R&D Environmental Policy Footer Second Row FOR THE PUBLIC News Community Outreach Educational Programs Corporate Giving History Careers Visit ORNL Contact Us FOR RESEARCHERS User Facilities Research Library Science and Discovery Lab-Directed R&D Careers Visit ORNL Contact Us FOR ACADEMIA Educational Programs Science and Discovery Research Library User Facilities Careers News Visit ORNL Contact Us FOR INDUSTRY Work with ORNL Economic Development Procurement Small Business Programs Careers Visit ORNL Contact Us Contact Us Site Links FAQs People User Facilities Internal Users Privacy Accessibility/508 Nondiscrimination/1557 Index Contact Us diff --git a/src/data/compiled_bios/468.txt b/src/data/compiled_bios/468.txt new file mode 100644 index 0000000000..8021d72ffb --- /dev/null +++ b/src/data/compiled_bios/468.txt @@ -0,0 +1 @@ +Gordon Kindlmann Associate Professor, Computer Science University of Chicago glk&commatuchicago&periodedu CV Google Scholar Pubmed DBLP Office: JCL 323 Mailing address: Gordon Kindlmann UChicago Computer Science John Crerar Library 2nd Floor 5730 South Ellis Ave Chicago, IL 60637 About Projects Publications Talks Teaching Software Research Summary I research image analysis and data visualization to improve the computation of imaging-based science. Science pairs measurement tools that produce experimental data with computational tools to process the data. Advances in scanned imaging modalities (like MRI and confocal microscopy) are constantly increasing the speed, resolution, and sophistication of image measurements. Scientists can now form hypotheses and conduct experiments faster than they can find or create the computational analysis best matched to their new image data. Unfortunately, the process of creating new software remains slow or opaque for many people, and advances in parallel computing (required for large images) complicate the process even for experts. I collaborate with physical and biomedical researchers who acquire image data to answer scientific questions. My research simplifies how informative visualizations are created, and improves how relevant image features are detected, sampled, and quantified. I am also interested in the theoretical and perceptual bases of effective data visualization. I foster re-usable and reproducible computational science by making all my research software open-source. I look for computer science students who, like me, are excited by the prospect of accelerating science with better computing. See my information about applying. Education and Employment 2017- Associate Professor in Computer Science, University of Chicago. 2009-2017 Assistant Professor in Computer Science and the Computation Institute, University of Chicago. 2004-2008 Post-Doctoral Fellow and Instructor in Radiology, Laboratory of Mathematics in Imaging, Dept of Radiology, Brigham & Women\'s Hospital, Harvard Medical School. Carl-Fredrik Westin, Advisor. 1998-2004 Computer Science Ph.D. University of Utah, Visualization and Analysis of Diffusion Tensor Fields. Christopher R. Johnson, Advisor. 1995-1998 Computer Graphics MS (1995-1998), Cornell University, Semi-Automatic Generation of Transfer Functions for Direct Volume Rendering. Donald P. Greenberg, Advisor. 1991-1995 Mathematics BA, Cornell University. diff --git a/src/data/compiled_bios/4680.txt b/src/data/compiled_bios/4680.txt new file mode 100644 index 0000000000..46658e2840 --- /dev/null +++ b/src/data/compiled_bios/4680.txt @@ -0,0 +1 @@ + Skip to main content About Us ABOUT Brochure Fact Sheets History Honors and Awards Org Charts ORGANIZATION Directorates Divisions Leadership Team CAREERS Job Openings Working at ORNL Diversity Students and Recent Graduates Fellowships VISIT ORNL Interactive Map Getting to ORNL Getting Around ORNL Airport Information Regional Information Before You Arrive RESEARCH Hubs, Centers, and Institutes ORNL Programs Areas of Science Research Library COMMUNITY OUTREACH Corporate Giving Matching Gifts Fund Team UT-Battelle User Facilities ___ Building Technologies Research and Integration Center Carbon Fiber Technology Center Oak Ridge Leadership Computing Facility ___ Spallation Neutron Source High Flux Isotope Reactor Manufacturing Demonstration Facility ___ Center for Nanophase Material Sciences Center for Structural Molecular Biology National Transportation Research Center Science and Discovery ___ Advanced Materials Clean Energy National Security ___ Neutron Science Nuclear Science Supercomputing ___ Exascale Computing Project Hubs, Centers, and Institutes US ITER News Our People ___ Contact Us Media Contacts ___ Directorate Contacts Division Contacts ___ User Facility Contacts Experts List Careers About Us ABOUT Brochure Fact Sheets History Honors and Awards Org Charts ORGANIZATIONS Directorates Divisions Leadership Team CAREERS Job Openings Working at ORNL Diversity VISIT ORNL Interactive Map Getting to ORNL Getting Around ORNL Airport Information Regional Information Before You Arrive RESEARCH Hubs, Centers, and Institutes ORNL Programs Research Library COMMUNITY OUTREACH Corporate Giving Matching Gifts Fund Team UT-Battelle User Facilities Building Technologies Research and Integration Center Carbon Fiber Technology Center Oak Ridge Leadership Computing Facility Spallation Neutron Source High Flux Isotope Reactor Manufacturing Demonstration Facility Center for Nanophase Material Sciences Center for Structural Molecular Biology National Transportation Research Center Science and Discovery Advanced Materials Clean Energy National Security Neutron Science Nuclear Science Supercomputing Exascale Computing Project Hubs, Centers, and Institutes US ITER News Our People Contact Us Media Contacts Directorate Contacts Division Contacts User Facility Contacts Experts List Careers Contact Information fuhrpl@ornl.gov 865.574.8529 orcid.org/0000-0002-1162-7445 Peter L Fuhr Publications Secure Communications for Process & Safety Systems Secure Wireless Sensor Networks for the Monitoring and Control of Nuclear Power Plants Shared Spectrum for Secure Industrial Wireless Sensors Wireless Technologies Implications for Power Systems view all Oak Ridge National Laboratory is managed by UT-Battelle for the US Department of Energy Footer First Row USER FACILITIES Building Technologies Research and Integration Center Carbon Fiber Technology Center Center for Nanophase Material Sciences Center for Structural Molecular Biology High Flux Isotope Reactor Manufacturing Demonstration Facility National Transportation Research Center Oak Ridge Leadership Computing Facility Spallation Neutron Source SCIENCE & DISCOVERY Advanced Materials Clean Energy National Security Neutron Science Nuclear Science Supercomputing US ITER Hubs, Centers, and Institutes ABOUT US Brochure Fact Sheets Leadership Team Diversity History Lab-Directed R&D Environmental Policy Footer Second Row FOR THE PUBLIC News Community Outreach Educational Programs Corporate Giving History Careers Visit ORNL Contact Us FOR RESEARCHERS User Facilities Research Library Science and Discovery Lab-Directed R&D Careers Visit ORNL Contact Us FOR ACADEMIA Educational Programs Science and Discovery Research Library User Facilities Careers News Visit ORNL Contact Us FOR INDUSTRY Work with ORNL Economic Development Procurement Small Business Programs Careers Visit ORNL Contact Us Contact Us Site Links FAQs People User Facilities Internal Users Privacy Accessibility/508 Nondiscrimination/1557 Index Contact Us diff --git a/src/data/compiled_bios/4681.txt b/src/data/compiled_bios/4681.txt new file mode 100644 index 0000000000..792ed7efc9 --- /dev/null +++ b/src/data/compiled_bios/4681.txt @@ -0,0 +1 @@ + Skip to main content About Us ABOUT Brochure Fact Sheets History Honors and Awards Org Charts ORGANIZATION Directorates Divisions Leadership Team CAREERS Job Openings Working at ORNL Diversity Students and Recent Graduates Fellowships VISIT ORNL Interactive Map Getting to ORNL Getting Around ORNL Airport Information Regional Information Before You Arrive RESEARCH Hubs, Centers, and Institutes ORNL Programs Areas of Science Research Library COMMUNITY OUTREACH Corporate Giving Matching Gifts Fund Team UT-Battelle User Facilities ___ Building Technologies Research and Integration Center Carbon Fiber Technology Center Oak Ridge Leadership Computing Facility ___ Spallation Neutron Source High Flux Isotope Reactor Manufacturing Demonstration Facility ___ Center for Nanophase Material Sciences Center for Structural Molecular Biology National Transportation Research Center Science and Discovery ___ Advanced Materials Clean Energy National Security ___ Neutron Science Nuclear Science Supercomputing ___ Exascale Computing Project Hubs, Centers, and Institutes US ITER News Our People ___ Contact Us Media Contacts ___ Directorate Contacts Division Contacts ___ User Facility Contacts Experts List Careers About Us ABOUT Brochure Fact Sheets History Honors and Awards Org Charts ORGANIZATIONS Directorates Divisions Leadership Team CAREERS Job Openings Working at ORNL Diversity VISIT ORNL Interactive Map Getting to ORNL Getting Around ORNL Airport Information Regional Information Before You Arrive RESEARCH Hubs, Centers, and Institutes ORNL Programs Research Library COMMUNITY OUTREACH Corporate Giving Matching Gifts Fund Team UT-Battelle User Facilities Building Technologies Research and Integration Center Carbon Fiber Technology Center Oak Ridge Leadership Computing Facility Spallation Neutron Source High Flux Isotope Reactor Manufacturing Demonstration Facility Center for Nanophase Material Sciences Center for Structural Molecular Biology National Transportation Research Center Science and Discovery Advanced Materials Clean Energy National Security Neutron Science Nuclear Science Supercomputing Exascale Computing Project Hubs, Centers, and Institutes US ITER News Our People Contact Us Media Contacts Directorate Contacts Division Contacts User Facility Contacts Experts List Careers Contact Information jgoodall@ornl.gov 865.574.9778 orcid.org/0000-0001-6810-4517 John R Goodall Team Lead, Situation Awareness and Visual Analytics Team Download CV Bio John Goodall is Research Scientist in the Cyber and Information Security Research group at Oak Ridge National Laboratory. There, he leads the Situation Awareness and Visual Analytics team. His research experience and interests include: visual analytics, information visualization, human-computer interaction, computer network defense, and computer-supported cooperative work; he is particularly interested in the intersection between these areas. His work has included research into the work practice and collaborative work flows among Computer Network Defense analysts and the design of systems to facilitate the exploration and knowledge building activities inherent in that domain. He is also a Joint Faculty member in the University of Tennessee's Department of Electrical Engineering and Computer Science and the former Assistant Director of the Center for Intelligent Systems and Machine Learning (CISML) at the University of Tennessee. Before coming to ORNL, Dr. Goodall was a Research Scientist with Secure Decisions. There, he led an effort for DHS S&T to develop visualization solutions to aid analysts at US-CERT in sifting through billions of network flow records looking for malicious activity. For an Air Force Research Laboratory directed Phase II Small Business Innovative Research (SBIR) contract, he led an effort to develop a model of mapping cyber assets, missions and users, and methods to populate, query and visualize this model. For a DHS S&T SBIR he led the development of a system to bring together multiple software security analysis tool results into a unified framework that enabled developers to visually explore and understand the security posture of their source code. Dr. Goodallholds a Ph.D. and M.S. in Information Systems from University of Maryland, Baltimore County (UMBC). He has served as the Chair of the Symposium on Visualization for Cyber Security (VizSec) in 2007 and 2008 and co-chair in 2009, and published on the topics of visualization and the work practice of CND analysts.He has been on the program committee for IEEE Information Visualization Conference (InfoVis) and ACM Computer Human Interaction for the Management of Information Technology (CHIMIT). Publications Cybersecurity Automated Information Extraction Techniques: Drawbacks of Current Methods, And Enhanced Extractors Graphprints: Towards a Graph Analytic Method for Network Anomaly Detection Evaluating How Level of Detail of Visual History Affects Process Memory Developing an Ontology for Cyber Security Knowledge Graphs Towards a Relation Extraction Framework for Cyber-security Concepts Pagination Current page 1 Page 2 Page 3 Next page Last page Last view all Oak Ridge National Laboratory is managed by UT-Battelle for the US Department of Energy Footer First Row USER FACILITIES Building Technologies Research and Integration Center Carbon Fiber Technology Center Center for Nanophase Material Sciences Center for Structural Molecular Biology High Flux Isotope Reactor Manufacturing Demonstration Facility National Transportation Research Center Oak Ridge Leadership Computing Facility Spallation Neutron Source SCIENCE & DISCOVERY Advanced Materials Clean Energy National Security Neutron Science Nuclear Science Supercomputing US ITER Hubs, Centers, and Institutes ABOUT US Brochure Fact Sheets Leadership Team Diversity History Lab-Directed R&D Environmental Policy Footer Second Row FOR THE PUBLIC News Community Outreach Educational Programs Corporate Giving History Careers Visit ORNL Contact Us FOR RESEARCHERS User Facilities Research Library Science and Discovery Lab-Directed R&D Careers Visit ORNL Contact Us FOR ACADEMIA Educational Programs Science and Discovery Research Library User Facilities Careers News Visit ORNL Contact Us FOR INDUSTRY Work with ORNL Economic Development Procurement Small Business Programs Careers Visit ORNL Contact Us Contact Us Site Links FAQs People User Facilities Internal Users Privacy Accessibility/508 Nondiscrimination/1557 Index Contact Us diff --git a/src/data/compiled_bios/4682.txt b/src/data/compiled_bios/4682.txt new file mode 100644 index 0000000000..b4097376bd --- /dev/null +++ b/src/data/compiled_bios/4682.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. Scott Klasky Joint Faculty with ORNL Contact Information Email: klasky@utk.edu Mailing Address: EECS Main Office Min H. Kao Building, Room 401 1520 Middle Drive Knoxville, TN 37996-2250 Office Phone: 865-974-3461 Office Fax: 865-974-5483 Education PhD in Physics, University of Texas, Austin Background Dr. Klasky is currently a senior research scientist at Oak Ridge National Laboratory, and head of the end to end task in the scientific computing group at the National Center Computational Sciences. Dr. Klasky has 20 years of experience in research and development of middleware for use in high performance computing, and is a author/co-author of over 40 papers in the field of physics and high performance computing. Dr. Klasky received his PhD in physics from the University of Texas at Austin, and then went on to Syracuse University, and then the Princeton Plasma Physics Laboratory. Dr. Klaskys research centers in data intensive computing, high performance computing, workflow automation, I/O, visualization, and fusion. Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4683.txt b/src/data/compiled_bios/4683.txt new file mode 100644 index 0000000000..664c0e04b2 --- /dev/null +++ b/src/data/compiled_bios/4683.txt @@ -0,0 +1 @@ + Skip to main content About Us ABOUT Brochure Fact Sheets History Honors and Awards Org Charts ORGANIZATION Directorates Divisions Leadership Team CAREERS Job Openings Working at ORNL Diversity Students and Recent Graduates Fellowships VISIT ORNL Interactive Map Getting to ORNL Getting Around ORNL Airport Information Regional Information Before You Arrive RESEARCH Hubs, Centers, and Institutes ORNL Programs Areas of Science Research Library COMMUNITY OUTREACH Corporate Giving Matching Gifts Fund Team UT-Battelle User Facilities ___ Building Technologies Research and Integration Center Carbon Fiber Technology Center Oak Ridge Leadership Computing Facility ___ Spallation Neutron Source High Flux Isotope Reactor Manufacturing Demonstration Facility ___ Center for Nanophase Material Sciences Center for Structural Molecular Biology National Transportation Research Center Science and Discovery ___ Advanced Materials Clean Energy National Security ___ Neutron Science Nuclear Science Supercomputing ___ Exascale Computing Project Hubs, Centers, and Institutes US ITER News Our People ___ Contact Us Media Contacts ___ Directorate Contacts Division Contacts ___ User Facility Contacts Experts List Careers About Us ABOUT Brochure Fact Sheets History Honors and Awards Org Charts ORGANIZATIONS Directorates Divisions Leadership Team CAREERS Job Openings Working at ORNL Diversity VISIT ORNL Interactive Map Getting to ORNL Getting Around ORNL Airport Information Regional Information Before You Arrive RESEARCH Hubs, Centers, and Institutes ORNL Programs Research Library COMMUNITY OUTREACH Corporate Giving Matching Gifts Fund Team UT-Battelle User Facilities Building Technologies Research and Integration Center Carbon Fiber Technology Center Oak Ridge Leadership Computing Facility Spallation Neutron Source High Flux Isotope Reactor Manufacturing Demonstration Facility Center for Nanophase Material Sciences Center for Structural Molecular Biology National Transportation Research Center Science and Discovery Advanced Materials Clean Energy National Security Neutron Science Nuclear Science Supercomputing Exascale Computing Project Hubs, Centers, and Institutes US ITER News Our People Contact Us Media Contacts Directorate Contacts Division Contacts User Facility Contacts Experts List Careers Contact Information kurugantipv@ornl.gov 865.241.2874 orcid.org/0000-0003-3704-4026 Teja Kuruganti Group Leader, Modeling and Simulations Publications Coordination and Control of Building HVAC Systems to Provide Frequency Regulation to the Electric Grid Pathloss Calculation Using the Transmission Line Matrix and Finite Difference Time Domain Methods with Coarse Grids A modeling framework for optimal energy management of a residential building Supervisory Control for Peak Reduction In Commercial Buildings While Maintaining Comfort A Modeling Framework for Optimal Energy Management of a Residential Building Pagination Current page 1 Page 2 Page 3 Next page Last page Last view all Oak Ridge National Laboratory is managed by UT-Battelle for the US Department of Energy Footer First Row USER FACILITIES Building Technologies Research and Integration Center Carbon Fiber Technology Center Center for Nanophase Material Sciences Center for Structural Molecular Biology High Flux Isotope Reactor Manufacturing Demonstration Facility National Transportation Research Center Oak Ridge Leadership Computing Facility Spallation Neutron Source SCIENCE & DISCOVERY Advanced Materials Clean Energy National Security Neutron Science Nuclear Science Supercomputing US ITER Hubs, Centers, and Institutes ABOUT US Brochure Fact Sheets Leadership Team Diversity History Lab-Directed R&D Environmental Policy Footer Second Row FOR THE PUBLIC News Community Outreach Educational Programs Corporate Giving History Careers Visit ORNL Contact Us FOR RESEARCHERS User Facilities Research Library Science and Discovery Lab-Directed R&D Careers Visit ORNL Contact Us FOR ACADEMIA Educational Programs Science and Discovery Research Library User Facilities Careers News Visit ORNL Contact Us FOR INDUSTRY Work with ORNL Economic Development Procurement Small Business Programs Careers Visit ORNL Contact Us Contact Us Site Links FAQs People User Facilities Internal Users Privacy Accessibility/508 Nondiscrimination/1557 Index Contact Us diff --git a/src/data/compiled_bios/4684.txt b/src/data/compiled_bios/4684.txt new file mode 100644 index 0000000000..7415a681b5 --- /dev/null +++ b/src/data/compiled_bios/4684.txt @@ -0,0 +1 @@ + Skip to main content About Us ABOUT Brochure Fact Sheets History Honors and Awards Org Charts ORGANIZATION Directorates Divisions Leadership Team CAREERS Job Openings Working at ORNL Diversity Students and Recent Graduates Fellowships VISIT ORNL Interactive Map Getting to ORNL Getting Around ORNL Airport Information Regional Information Before You Arrive RESEARCH Hubs, Centers, and Institutes ORNL Programs Areas of Science Research Library COMMUNITY OUTREACH Corporate Giving Matching Gifts Fund Team UT-Battelle User Facilities ___ Building Technologies Research and Integration Center Carbon Fiber Technology Center Oak Ridge Leadership Computing Facility ___ Spallation Neutron Source High Flux Isotope Reactor Manufacturing Demonstration Facility ___ Center for Nanophase Material Sciences Center for Structural Molecular Biology National Transportation Research Center Science and Discovery ___ Advanced Materials Clean Energy National Security ___ Neutron Science Nuclear Science Supercomputing ___ Exascale Computing Project Hubs, Centers, and Institutes US ITER News Our People ___ Contact Us Media Contacts ___ Directorate Contacts Division Contacts ___ User Facility Contacts Experts List Careers About Us ABOUT Brochure Fact Sheets History Honors and Awards Org Charts ORGANIZATIONS Directorates Divisions Leadership Team CAREERS Job Openings Working at ORNL Diversity VISIT ORNL Interactive Map Getting to ORNL Getting Around ORNL Airport Information Regional Information Before You Arrive RESEARCH Hubs, Centers, and Institutes ORNL Programs Research Library COMMUNITY OUTREACH Corporate Giving Matching Gifts Fund Team UT-Battelle User Facilities Building Technologies Research and Integration Center Carbon Fiber Technology Center Oak Ridge Leadership Computing Facility Spallation Neutron Source High Flux Isotope Reactor Manufacturing Demonstration Facility Center for Nanophase Material Sciences Center for Structural Molecular Biology National Transportation Research Center Science and Discovery Advanced Materials Clean Energy National Security Neutron Science Nuclear Science Supercomputing Exascale Computing Project Hubs, Centers, and Institutes US ITER News Our People Contact Us Media Contacts Directorate Contacts Division Contacts User Facility Contacts Experts List Careers Contact Information lylesjb@ornl.gov 865.241.8827 orcid.org/0000-0002-6977-4472 Joseph B Lyles Publications Tools, Techniques, And Methodologies: A Survey of Digital Forensics for Scada Systems view all Oak Ridge National Laboratory is managed by UT-Battelle for the US Department of Energy Footer First Row USER FACILITIES Building Technologies Research and Integration Center Carbon Fiber Technology Center Center for Nanophase Material Sciences Center for Structural Molecular Biology High Flux Isotope Reactor Manufacturing Demonstration Facility National Transportation Research Center Oak Ridge Leadership Computing Facility Spallation Neutron Source SCIENCE & DISCOVERY Advanced Materials Clean Energy National Security Neutron Science Nuclear Science Supercomputing US ITER Hubs, Centers, and Institutes ABOUT US Brochure Fact Sheets Leadership Team Diversity History Lab-Directed R&D Environmental Policy Footer Second Row FOR THE PUBLIC News Community Outreach Educational Programs Corporate Giving History Careers Visit ORNL Contact Us FOR RESEARCHERS User Facilities Research Library Science and Discovery Lab-Directed R&D Careers Visit ORNL Contact Us FOR ACADEMIA Educational Programs Science and Discovery Research Library User Facilities Careers News Visit ORNL Contact Us FOR INDUSTRY Work with ORNL Economic Development Procurement Small Business Programs Careers Visit ORNL Contact Us Contact Us Site Links FAQs People User Facilities Internal Users Privacy Accessibility/508 Nondiscrimination/1557 Index Contact Us diff --git a/src/data/compiled_bios/4685.txt b/src/data/compiled_bios/4685.txt new file mode 100644 index 0000000000..04494917b5 --- /dev/null +++ b/src/data/compiled_bios/4685.txt @@ -0,0 +1 @@ + Skip to main content About Us ABOUT Brochure Fact Sheets History Honors and Awards Org Charts ORGANIZATION Directorates Divisions Leadership Team CAREERS Job Openings Working at ORNL Diversity Students and Recent Graduates Fellowships VISIT ORNL Interactive Map Getting to ORNL Getting Around ORNL Airport Information Regional Information Before You Arrive RESEARCH Hubs, Centers, and Institutes ORNL Programs Areas of Science Research Library COMMUNITY OUTREACH Corporate Giving Matching Gifts Fund Team UT-Battelle User Facilities ___ Building Technologies Research and Integration Center Carbon Fiber Technology Center Oak Ridge Leadership Computing Facility ___ Spallation Neutron Source High Flux Isotope Reactor Manufacturing Demonstration Facility ___ Center for Nanophase Material Sciences Center for Structural Molecular Biology National Transportation Research Center Science and Discovery ___ Advanced Materials Clean Energy National Security ___ Neutron Science Nuclear Science Supercomputing ___ Exascale Computing Project Hubs, Centers, and Institutes US ITER News Our People ___ Contact Us Media Contacts ___ Directorate Contacts Division Contacts ___ User Facility Contacts Experts List Careers About Us ABOUT Brochure Fact Sheets History Honors and Awards Org Charts ORGANIZATIONS Directorates Divisions Leadership Team CAREERS Job Openings Working at ORNL Diversity VISIT ORNL Interactive Map Getting to ORNL Getting Around ORNL Airport Information Regional Information Before You Arrive RESEARCH Hubs, Centers, and Institutes ORNL Programs Research Library COMMUNITY OUTREACH Corporate Giving Matching Gifts Fund Team UT-Battelle User Facilities Building Technologies Research and Integration Center Carbon Fiber Technology Center Oak Ridge Leadership Computing Facility Spallation Neutron Source High Flux Isotope Reactor Manufacturing Demonstration Facility Center for Nanophase Material Sciences Center for Structural Molecular Biology National Transportation Research Center Science and Discovery Advanced Materials Clean Energy National Security Neutron Science Nuclear Science Supercomputing Exascale Computing Project Hubs, Centers, and Institutes US ITER News Our People Contact Us Media Contacts Directorate Contacts Division Contacts User Facility Contacts Experts List Careers Contact Information melina@ornl.gov 865.574.5671 orcid.org/0000-0002-7120-8154 Alexander Melin Publications Chattanooga Electric Power Board Case Studydistribution Automation Embedded Instrumentation and Control for Extreme Environments Analysis of Iter Ech Transmission Line Waveguide Couplings Embedded Sensors and Controls to Improve Component Performance and Reliability -- Bench-scale Testbed Design Report Finite Energy and Bounded Actuator Attacks on Cyber-physical Systems Pagination Current page 1 Page 2 Page 3 Next page Last page Last view all Oak Ridge National Laboratory is managed by UT-Battelle for the US Department of Energy Footer First Row USER FACILITIES Building Technologies Research and Integration Center Carbon Fiber Technology Center Center for Nanophase Material Sciences Center for Structural Molecular Biology High Flux Isotope Reactor Manufacturing Demonstration Facility National Transportation Research Center Oak Ridge Leadership Computing Facility Spallation Neutron Source SCIENCE & DISCOVERY Advanced Materials Clean Energy National Security Neutron Science Nuclear Science Supercomputing US ITER Hubs, Centers, and Institutes ABOUT US Brochure Fact Sheets Leadership Team Diversity History Lab-Directed R&D Environmental Policy Footer Second Row FOR THE PUBLIC News Community Outreach Educational Programs Corporate Giving History Careers Visit ORNL Contact Us FOR RESEARCHERS User Facilities Research Library Science and Discovery Lab-Directed R&D Careers Visit ORNL Contact Us FOR ACADEMIA Educational Programs Science and Discovery Research Library User Facilities Careers News Visit ORNL Contact Us FOR INDUSTRY Work with ORNL Economic Development Procurement Small Business Programs Careers Visit ORNL Contact Us Contact Us Site Links FAQs People User Facilities Internal Users Privacy Accessibility/508 Nondiscrimination/1557 Index Contact Us diff --git a/src/data/compiled_bios/4686.txt b/src/data/compiled_bios/4686.txt new file mode 100644 index 0000000000..437c5da9c7 --- /dev/null +++ b/src/data/compiled_bios/4686.txt @@ -0,0 +1 @@ + Skip to main content About Us ABOUT Brochure Fact Sheets History Honors and Awards Org Charts ORGANIZATION Directorates Divisions Leadership Team CAREERS Job Openings Working at ORNL Diversity Students and Recent Graduates Fellowships VISIT ORNL Interactive Map Getting to ORNL Getting Around ORNL Airport Information Regional Information Before You Arrive RESEARCH Hubs, Centers, and Institutes ORNL Programs Areas of Science Research Library COMMUNITY OUTREACH Corporate Giving Matching Gifts Fund Team UT-Battelle User Facilities ___ Building Technologies Research and Integration Center Carbon Fiber Technology Center Oak Ridge Leadership Computing Facility ___ Spallation Neutron Source High Flux Isotope Reactor Manufacturing Demonstration Facility ___ Center for Nanophase Material Sciences Center for Structural Molecular Biology National Transportation Research Center Science and Discovery ___ Advanced Materials Clean Energy National Security ___ Neutron Science Nuclear Science Supercomputing ___ Exascale Computing Project Hubs, Centers, and Institutes US ITER News Our People ___ Contact Us Media Contacts ___ Directorate Contacts Division Contacts ___ User Facility Contacts Experts List Careers About Us ABOUT Brochure Fact Sheets History Honors and Awards Org Charts ORGANIZATIONS Directorates Divisions Leadership Team CAREERS Job Openings Working at ORNL Diversity VISIT ORNL Interactive Map Getting to ORNL Getting Around ORNL Airport Information Regional Information Before You Arrive RESEARCH Hubs, Centers, and Institutes ORNL Programs Research Library COMMUNITY OUTREACH Corporate Giving Matching Gifts Fund Team UT-Battelle User Facilities Building Technologies Research and Integration Center Carbon Fiber Technology Center Oak Ridge Leadership Computing Facility Spallation Neutron Source High Flux Isotope Reactor Manufacturing Demonstration Facility Center for Nanophase Material Sciences Center for Structural Molecular Biology National Transportation Research Center Science and Discovery Advanced Materials Clean Energy National Security Neutron Science Nuclear Science Supercomputing Exascale Computing Project Hubs, Centers, and Institutes US ITER News Our People Contact Us Media Contacts Directorate Contacts Division Contacts User Facility Contacts Experts List Careers Contact Information nutarojj@ornl.gov 865.241.1587 orcid.org/0000-0001-7360-2836 James J Nutaro Publications Coordination and Control of Building HVAC Systems to Provide Frequency Regulation to the Electric Grid Pathloss Calculation Using the Transmission Line Matrix and Finite Difference Time Domain Methods with Coarse Grids A Method for Bounding Error In Multi-rate and Federated Simulations Supervisory Control for Peak Reduction In Commercial Buildings While Maintaining Comfort Parallel Execution of Functional Mock-up Units In Buildings Modeling Pagination Current page 1 Page 2 Page 3 Next page Last page Last view all Oak Ridge National Laboratory is managed by UT-Battelle for the US Department of Energy Footer First Row USER FACILITIES Building Technologies Research and Integration Center Carbon Fiber Technology Center Center for Nanophase Material Sciences Center for Structural Molecular Biology High Flux Isotope Reactor Manufacturing Demonstration Facility National Transportation Research Center Oak Ridge Leadership Computing Facility Spallation Neutron Source SCIENCE & DISCOVERY Advanced Materials Clean Energy National Security Neutron Science Nuclear Science Supercomputing US ITER Hubs, Centers, and Institutes ABOUT US Brochure Fact Sheets Leadership Team Diversity History Lab-Directed R&D Environmental Policy Footer Second Row FOR THE PUBLIC News Community Outreach Educational Programs Corporate Giving History Careers Visit ORNL Contact Us FOR RESEARCHERS User Facilities Research Library Science and Discovery Lab-Directed R&D Careers Visit ORNL Contact Us FOR ACADEMIA Educational Programs Science and Discovery Research Library User Facilities Careers News Visit ORNL Contact Us FOR INDUSTRY Work with ORNL Economic Development Procurement Small Business Programs Careers Visit ORNL Contact Us Contact Us Site Links FAQs People User Facilities Internal Users Privacy Accessibility/508 Nondiscrimination/1557 Index Contact Us diff --git a/src/data/compiled_bios/4687.txt b/src/data/compiled_bios/4687.txt new file mode 100644 index 0000000000..ddeb97a695 --- /dev/null +++ b/src/data/compiled_bios/4687.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. Burak Ozpineci Joint Faculty with ORNL Contact Information Email: ozpineci@utk.edu Web: PEEMRC Staff Mailing Address: EECS Main Office Min H. Kao Building, Room 401 1520 Middle Drive Knoxville, TN 37996-2250 Office Phone: 865-974-3461 Office Fax: 865-974-5483 Areas of Interest system-level impact of SiC power devices multilevel inverters power converters for distributed energy resources and hybrid electric vehicles intelligent control applications for power converters Education PhD in Electrical Engineering, The University of Tennessee, Knoxville, 2002 MS in Electrical Engineering, The University of Tennessee, Knoxville, 1998 BS from Orta Dogu Technical University, Ankara, Turkey Background Dr. Burak Ozpineci is the group leader of the of the Power Electronics and Electric Machinery Research Group at the Oak Ridge National Laboratory. He received a M.S. and Ph.D. from The University of Tennessee in electrical engineering in 1998 and 2002, respectively, and his B.S. degree from the Orta Dogu Technical University, Ankara, Turkey. He joined the Post-Masters Program with the Power Electronics and Electric Machinery Research Group at the Oak Ridge National Laboratory in 2001 and became a full time staff member at the PEEMRG in 2002. Dr. Ozpineci is the Chair of the IEEE PELS Rectifiers and Inverters Technical Committee and was Transactions Review Chairman of the IEEE Industry Applications Society Industrial Power Converter Committee, and He also has a Joint Faculty Associate Professor position with The University of Tennessee. His research interests include system-level impact of SiC power devices, multilevel inverters, power converters for distributed energy resources and hybrid electric vehicles, and intelligent control applications for power converters. Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4688.txt b/src/data/compiled_bios/4688.txt new file mode 100644 index 0000000000..1bbb3df4a6 --- /dev/null +++ b/src/data/compiled_bios/4688.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. Stacy Prowell Joint Faculty with ORNL Contact Information Email: sprowell@utk.edu Web: Homepage Mailing Address: Oak Ridge National Laboratory PO Box 2008, MS-6418 Oak Ridge, TN 37831-6418 Office Phone: 865-241-8874 Office Fax: 865-576-5943 Areas of Interest Computationally-intensive methods in cyber security Malware analysis, detection, and classification Automated reverse engineering Formal methods Quantum computing and quantum information science Background Associate Professor, EECS Chief Cyber Security Research Scientist,Cyberspace Sciences andInformation Intelligence Research Group,Oak Ridge National Laboratory Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4689.txt b/src/data/compiled_bios/4689.txt new file mode 100644 index 0000000000..0b816e157e --- /dev/null +++ b/src/data/compiled_bios/4689.txt @@ -0,0 +1 @@ + Skip to main content About Us ABOUT Brochure Fact Sheets History Honors and Awards Org Charts ORGANIZATION Directorates Divisions Leadership Team CAREERS Job Openings Working at ORNL Diversity Students and Recent Graduates Fellowships VISIT ORNL Interactive Map Getting to ORNL Getting Around ORNL Airport Information Regional Information Before You Arrive RESEARCH Hubs, Centers, and Institutes ORNL Programs Areas of Science Research Library COMMUNITY OUTREACH Corporate Giving Matching Gifts Fund Team UT-Battelle User Facilities ___ Building Technologies Research and Integration Center Carbon Fiber Technology Center Oak Ridge Leadership Computing Facility ___ Spallation Neutron Source High Flux Isotope Reactor Manufacturing Demonstration Facility ___ Center for Nanophase Material Sciences Center for Structural Molecular Biology National Transportation Research Center Science and Discovery ___ Advanced Materials Clean Energy National Security ___ Neutron Science Nuclear Science Supercomputing ___ Exascale Computing Project Hubs, Centers, and Institutes US ITER News Our People ___ Contact Us Media Contacts ___ Directorate Contacts Division Contacts ___ User Facility Contacts Experts List Careers About Us ABOUT Brochure Fact Sheets History Honors and Awards Org Charts ORGANIZATIONS Directorates Divisions Leadership Team CAREERS Job Openings Working at ORNL Diversity VISIT ORNL Interactive Map Getting to ORNL Getting Around ORNL Airport Information Regional Information Before You Arrive RESEARCH Hubs, Centers, and Institutes ORNL Programs Research Library COMMUNITY OUTREACH Corporate Giving Matching Gifts Fund Team UT-Battelle User Facilities Building Technologies Research and Integration Center Carbon Fiber Technology Center Oak Ridge Leadership Computing Facility Spallation Neutron Source High Flux Isotope Reactor Manufacturing Demonstration Facility Center for Nanophase Material Sciences Center for Structural Molecular Biology National Transportation Research Center Science and Discovery Advanced Materials Clean Energy National Security Neutron Science Nuclear Science Supercomputing Exascale Computing Project Hubs, Centers, and Institutes US ITER News Our People Contact Us Media Contacts Directorate Contacts Division Contacts User Facility Contacts Experts List Careers Contact Information pugmire@ornl.gov 865.241.8990 orcid.org/0000-0003-0647-2634 Dave Pugmire Publications Global adjoint tomography: first-generation model Visualizing the Radiation of the Kelvin-helmholtz Instability A Data Centric View of Large-scale Seismic Imaging Workflows A Data Centric View of Large-scale Seismic Imaging Workflows A Parallel Em Algorithm for Model-based Clustering Applied to the Exploration of Large Spatio-temporal Data Pagination Current page 1 Page 2 Page 3 Next page Last page Last view all Oak Ridge National Laboratory is managed by UT-Battelle for the US Department of Energy Footer First Row USER FACILITIES Building Technologies Research and Integration Center Carbon Fiber Technology Center Center for Nanophase Material Sciences Center for Structural Molecular Biology High Flux Isotope Reactor Manufacturing Demonstration Facility National Transportation Research Center Oak Ridge Leadership Computing Facility Spallation Neutron Source SCIENCE & DISCOVERY Advanced Materials Clean Energy National Security Neutron Science Nuclear Science Supercomputing US ITER Hubs, Centers, and Institutes ABOUT US Brochure Fact Sheets Leadership Team Diversity History Lab-Directed R&D Environmental Policy Footer Second Row FOR THE PUBLIC News Community Outreach Educational Programs Corporate Giving History Careers Visit ORNL Contact Us FOR RESEARCHERS User Facilities Research Library Science and Discovery Lab-Directed R&D Careers Visit ORNL Contact Us FOR ACADEMIA Educational Programs Science and Discovery Research Library User Facilities Careers News Visit ORNL Contact Us FOR INDUSTRY Work with ORNL Economic Development Procurement Small Business Programs Careers Visit ORNL Contact Us Contact Us Site Links FAQs People User Facilities Internal Users Privacy Accessibility/508 Nondiscrimination/1557 Index Contact Us diff --git a/src/data/compiled_bios/469.txt b/src/data/compiled_bios/469.txt new file mode 100644 index 0000000000..ee2a196841 --- /dev/null +++ b/src/data/compiled_bios/469.txt @@ -0,0 +1 @@ +\r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r News | \r Research | \r Publications\r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r Henry (Hank) Hoffmann \r \r Associate Professor\r \r Email: hankhoffmann @ cs.uchicago.edu\r \r Phone: Please Email\r \r John Crerar Library 341\r \r 5730 S. Ellis\r \r Chicago, IL 60637\r \r \r \r CV: [pdf] \r \r Bio: [html] \r \r Research Statement: [pdf] \r \r \r \r \r \r \r \r \r \r \r Research\r \r \r \r \r Research Areas : \r Self-aware & Adaptive Computing, Operating Systems, Computer Architecture\r (UChicago Systems Group)\r \r \r Research Interests: Modern computer systems\r have to meet goals in multiple -- often competing -- dimensions; e.g.,\r high performance and low energy consumption. This creates a great\r burden on programmers who must be experts in both their application\r domain and in the myriad system issues that affect power, energy,\r reliability, performance, and more. To alleviate this burden, I study\r ways to build self-aware computing systems that understand\r high-level goals and automatically adapt their behavior to meet those\r goals optimally. This is interdisciplinary work covering traditional\r areas, like operating systems and computer architecture, as well as\r new areas, like control theory and machine learning applied to\r computer system management and optimization.\r \r \r Project Web Pages: CERES , SEEC, POET, LEO\r \r Current Students: \r Saeid Barati, \r G\xf6kalp Demirci,\r Bernard Dickens,\r Anne Farrel,\r Will Kong,\r Ivana Marincic,\r Ahsan Pervaiz,\r Muhammad Husni Santriaji,\r Yuliana Zamora,\r Huazhe (Harper) Zhang \r \r Alumni:\r Zhixuan Zhou, PhD 2018 [thesis] , Google \r Connor Imes, PhD, 2018 [thesis] , ISI East \r Nikita Mishra, PhD 2017 [thesis], Solvvy \r Lee Ehudin, BS/MS 2017, Google \r Tristan Rasmussen, BS/MS 2015, Google\r \r \r Old Research Statement (from 2015): [pdf] \r \r \r \r \r \r \r News\r \r Our CALOREE paper from ASPLOS 2018 was selected as an IEEE Micro Top Picks Honorable Mention. Here is the summary we submitted: [pdf]. \r I got a great introduction to quantum computing from Fred Chong and the EPICQ project at UChicago. Our collaboration creating an optimizing quantum compiler (with up to 10x reductions in program latency!) will appear at ASPLOS 2019.\r I had a great time representing our department at the Grace Hopper Celebration 2018. [article] \r We recently published two papers with exponential improvements on the worst case approximation for scheduling under performance and power constraints. The first (at STACS 2018) improved the known bound from O(n) to O(log n). The second (at Supercomputing 2018) made this algorithm practical by accounting for configurable power/performance tradeoffs. To the best of our knowledge these are the first practical scheduling algorithms that use something other than greedy approaches. \r Bernard Dickens III has received a Generation Google Scholarship. Congrats Bernard!\r Efforts to commercialize my self-aware computing research were described in a recent Crunchbase article. \r I was granted early tenure by the University of Chicago (effective 07/01/2018). \r Paper on hardware support for real-time GPU computing accepted to RTAS.\r We got three papers into ASPLOS 2018!\r \r CALOREE, combining learning and control for intelligent resource management.\r SmartConf, automatically adjusting performance-sensitive configurations in web-infrastructure software.\r StrongBox, using mobile hardware and stream ciphers for secure file systems with much higher performance than AES-XTS.\r \r I am honored to serve as the program chair of WAX 2018, co-located with ASPLOS.\r I have graduated my first PhD student, Nikita Mishra. Congratulations, Nikita!\r Collaboration with Fred Chong\'s group on using ML to optimize non-volatile memory accepted to MICRO 2017\r Paper on automated MPC synthesis accepted to FSE 2017\r Our collaboration with Mozilla Research is accepted to FSE 2016\r Our paper on adding hardware control of resources to GPUs is accepted to MICRO 2016 \r We have been invited to present a paper on POET at MCSoC 2016 \r Our paper on using approximation to meet hard real-time deadlines with low energy consumption was accepted to USENIX ATC 2016 \r I am giving a keynote on approximate computing at IPDRM, the first Workshop on Emerging Parallel and Distributed Runtime Systems and Middleware, part of IPDPS \r I am giving the keynote on the research challenges of incorporating self-aware software into cyber physical systems at SelPhyS 2016, the first Workshop on Self-aware Cyber Physical Systems, part of CPS week in Vienna \r Our collaboration with David Wentzlaff\'s team from Princeton was accepted to ISCA 2016 \r Our team -- led by Krishna Palem (Rice) and including Corky Cartwright (Rice), Arvind (MIT), Keshav Pingali (UT Austin), Don Fussell (UT Austin) and me -- is one of the funded projects under DARPA\'s BRASS program \r Our paper on hardware, software, and hybrid power capping is accepted to ASPLOS 2016\r Along with Andrew Chien, I am a vice chair for the Architecture Track at IPDPS 2016 \r My research in the news \r JouleGuard is accepted by SOSP 2015\r Our paper on automated design of multidimensional software control is accepted at FSE 2015\r I received the DoE Early Career Award in 2015\r Our paper on ML for energy optimization is accepted to ASPLOS 2015 \r Connor Imes and I received the best paper award at the Embedded Operating Systems Workshop 2014\r My work on self-aware computing was named one of ten "World Changing Ideas" by Scientific American in 2011 \r \r \r \r \r \r \r \r Academic Career\r \r \r Associate Professor, University of Chicago, 2018- \r \r \r Assistant Professor, University of Chicago, 2013-2018 \r \r \r Ph.D., MIT, 2013 \r Dissertation: "SEEC : a\r framework for self-aware management of goals and constraints in\r computing systems diff --git a/src/data/compiled_bios/4690.txt b/src/data/compiled_bios/4690.txt new file mode 100644 index 0000000000..408f130037 --- /dev/null +++ b/src/data/compiled_bios/4690.txt @@ -0,0 +1 @@ + Skip to main content About Us ABOUT Brochure Fact Sheets History Honors and Awards Org Charts ORGANIZATION Directorates Divisions Leadership Team CAREERS Job Openings Working at ORNL Diversity Students and Recent Graduates Fellowships VISIT ORNL Interactive Map Getting to ORNL Getting Around ORNL Airport Information Regional Information Before You Arrive RESEARCH Hubs, Centers, and Institutes ORNL Programs Areas of Science Research Library COMMUNITY OUTREACH Corporate Giving Matching Gifts Fund Team UT-Battelle User Facilities ___ Building Technologies Research and Integration Center Carbon Fiber Technology Center Oak Ridge Leadership Computing Facility ___ Spallation Neutron Source High Flux Isotope Reactor Manufacturing Demonstration Facility ___ Center for Nanophase Material Sciences Center for Structural Molecular Biology National Transportation Research Center Science and Discovery ___ Advanced Materials Clean Energy National Security ___ Neutron Science Nuclear Science Supercomputing ___ Exascale Computing Project Hubs, Centers, and Institutes US ITER News Our People ___ Contact Us Media Contacts ___ Directorate Contacts Division Contacts ___ User Facility Contacts Experts List Careers About Us ABOUT Brochure Fact Sheets History Honors and Awards Org Charts ORGANIZATIONS Directorates Divisions Leadership Team CAREERS Job Openings Working at ORNL Diversity VISIT ORNL Interactive Map Getting to ORNL Getting Around ORNL Airport Information Regional Information Before You Arrive RESEARCH Hubs, Centers, and Institutes ORNL Programs Research Library COMMUNITY OUTREACH Corporate Giving Matching Gifts Fund Team UT-Battelle User Facilities Building Technologies Research and Integration Center Carbon Fiber Technology Center Oak Ridge Leadership Computing Facility Spallation Neutron Source High Flux Isotope Reactor Manufacturing Demonstration Facility Center for Nanophase Material Sciences Center for Structural Molecular Biology National Transportation Research Center Science and Discovery Advanced Materials Clean Energy National Security Neutron Science Nuclear Science Supercomputing Exascale Computing Project Hubs, Centers, and Institutes US ITER News Our People Contact Us Media Contacts Directorate Contacts Division Contacts User Facility Contacts Experts List Careers Contact Information rainesra@ornl.gov 865.241.7390 Richard A Raines Director, Electrical and Electronics Systems Research Division Download CV Bio Dr. Richard "Rick" Raines is Director of the Electrical and Electronics Systems Research Division (EESRD) at Oak Ridge National Laboratory (ORNL). Raines was previously Director of the Cybersecurity and Data Analytics Initiative withinthe Global Security Directorate at ORNL, and led the labs internally funded research and development (R&D) program for Cybersecurity of Energy Systems. During his tenure, Rick provided leadership in the development of a five-year R&D strategy for cybersecurity, worked with national and international defense nuclear nonproliferation partners for cybersecurity threat mitigation, and established new research partnerships with federal and industry sponsors. He joined ORNL in 2013 to bring strategic focus for growing and maturing the labs role in national defense-related R&D for cybersecurity and data analytics. Prior to ORNL, Raines held distinguished leadership positions at Wright-Patterson Air Force Base, serving as the founding Director of the Air Force Cyberspace Technical Center of Excellence, Professor of Electrical Engineering in the Department of Electrical and Computer Engineering at the Air Force Institute of Technology, and Cyber Transformation Chair for the Department of Defenses Center for Cyberspace Research. There, he led efforts working with 156 nationally recognized Centers for Academic Excellence, as well as promoted collaboration between the National Science Foundation and the Office of Personnel Management. He has served as a senior mentor to the Commander, Air Force Cyberspace Command (Provisional), the U.S. Government Interagency Coordinating Committee representing 30 academic institutions, and on numerous federal cybersecurity policy and R&D working groups. Raines served in the military for more than 21 years. Raines authored or co-authored more than 150 publications and has provided more than 200 invited presentations in the areas of computer and satellite communications, communications theory, vulnerabilities of communications systems, and cybersecurity. In 2007, he was inducted into the Association of Old Crows Hall of Fame, and he was the 2008 Air Force Science and Engineering Educator of the Year. Raines is a Senior Member of the Institute of Electronics and Electrical Engineers (IEEE), and a member of the IEEE Eta Kappa Nu and the Tau Beta Pi engineering honor societies. He is a Professor Emeritus in the Department of Electrical and Computer Engineering at the Air Force Institute of Technology, and holds a joint faculty appointment in the Department of Electrical Engineering and Computer Science at the University of Tennessee. Raines holds a Ph.D. in electrical engineering at Virginia Polytechnic Institute, an M.S. in computer engineering from the Air Force Institute of Technology, and a B.S. in electrical engineering from Florida State University. Oak Ridge National Laboratory is managed by UT-Battelle for the US Department of Energy Footer First Row USER FACILITIES Building Technologies Research and Integration Center Carbon Fiber Technology Center Center for Nanophase Material Sciences Center for Structural Molecular Biology High Flux Isotope Reactor Manufacturing Demonstration Facility National Transportation Research Center Oak Ridge Leadership Computing Facility Spallation Neutron Source SCIENCE & DISCOVERY Advanced Materials Clean Energy National Security Neutron Science Nuclear Science Supercomputing US ITER Hubs, Centers, and Institutes ABOUT US Brochure Fact Sheets Leadership Team Diversity History Lab-Directed R&D Environmental Policy Footer Second Row FOR THE PUBLIC News Community Outreach Educational Programs Corporate Giving History Careers Visit ORNL Contact Us FOR RESEARCHERS User Facilities Research Library Science and Discovery Lab-Directed R&D Careers Visit ORNL Contact Us FOR ACADEMIA Educational Programs Science and Discovery Research Library User Facilities Careers News Visit ORNL Contact Us FOR INDUSTRY Work with ORNL Economic Development Procurement Small Business Programs Careers Visit ORNL Contact Us Contact Us Site Links FAQs People User Facilities Internal Users Privacy Accessibility/508 Nondiscrimination/1557 Index Contact Us diff --git a/src/data/compiled_bios/4691.txt b/src/data/compiled_bios/4691.txt new file mode 100644 index 0000000000..a9c8199bc8 --- /dev/null +++ b/src/data/compiled_bios/4691.txt @@ -0,0 +1 @@ + Skip to main content About Us ABOUT Brochure Fact Sheets History Honors and Awards Org Charts ORGANIZATION Directorates Divisions Leadership Team CAREERS Job Openings Working at ORNL Diversity Students and Recent Graduates Fellowships VISIT ORNL Interactive Map Getting to ORNL Getting Around ORNL Airport Information Regional Information Before You Arrive RESEARCH Hubs, Centers, and Institutes ORNL Programs Areas of Science Research Library COMMUNITY OUTREACH Corporate Giving Matching Gifts Fund Team UT-Battelle User Facilities ___ Building Technologies Research and Integration Center Carbon Fiber Technology Center Oak Ridge Leadership Computing Facility ___ Spallation Neutron Source High Flux Isotope Reactor Manufacturing Demonstration Facility ___ Center for Nanophase Material Sciences Center for Structural Molecular Biology National Transportation Research Center Science and Discovery ___ Advanced Materials Clean Energy National Security ___ Neutron Science Nuclear Science Supercomputing ___ Exascale Computing Project Hubs, Centers, and Institutes US ITER News Our People ___ Contact Us Media Contacts ___ Directorate Contacts Division Contacts ___ User Facility Contacts Experts List Careers About Us ABOUT Brochure Fact Sheets History Honors and Awards Org Charts ORGANIZATIONS Directorates Divisions Leadership Team CAREERS Job Openings Working at ORNL Diversity VISIT ORNL Interactive Map Getting to ORNL Getting Around ORNL Airport Information Regional Information Before You Arrive RESEARCH Hubs, Centers, and Institutes ORNL Programs Research Library COMMUNITY OUTREACH Corporate Giving Matching Gifts Fund Team UT-Battelle User Facilities Building Technologies Research and Integration Center Carbon Fiber Technology Center Oak Ridge Leadership Computing Facility Spallation Neutron Source High Flux Isotope Reactor Manufacturing Demonstration Facility Center for Nanophase Material Sciences Center for Structural Molecular Biology National Transportation Research Center Science and Discovery Advanced Materials Clean Energy National Security Neutron Science Nuclear Science Supercomputing Exascale Computing Project Hubs, Centers, and Institutes US ITER News Our People Contact Us Media Contacts Directorate Contacts Division Contacts User Facility Contacts Experts List Careers Contact Information hsantos@ornl.gov 865.574.0215 orcid.org/0000-0001-8749-0636 Hector Santos Villalobos Publications An HDF5-Based Framework for the Distribution and Analysis of Ultrasonic Concrete Data Off-angle Iris Correction Methods Development of an Ultrasonic Phased Array System for Wellbore Integrity Evaluation and Near-wellbore Fracture Network Mapping of Injection and Production Wells In Geothermal Energy Systems Development of Acoustic Model-based Iterative Reconstruction Technique for Thick-concrete Imaging Improved Synthetic Aperture Focusing Technique Results of Thick Concrete Specimens Through Frequency Banding Pagination Current page 1 Page 2 Page 3 Next page Last page Last view all Oak Ridge National Laboratory is managed by UT-Battelle for the US Department of Energy Footer First Row USER FACILITIES Building Technologies Research and Integration Center Carbon Fiber Technology Center Center for Nanophase Material Sciences Center for Structural Molecular Biology High Flux Isotope Reactor Manufacturing Demonstration Facility National Transportation Research Center Oak Ridge Leadership Computing Facility Spallation Neutron Source SCIENCE & DISCOVERY Advanced Materials Clean Energy National Security Neutron Science Nuclear Science Supercomputing US ITER Hubs, Centers, and Institutes ABOUT US Brochure Fact Sheets Leadership Team Diversity History Lab-Directed R&D Environmental Policy Footer Second Row FOR THE PUBLIC News Community Outreach Educational Programs Corporate Giving History Careers Visit ORNL Contact Us FOR RESEARCHERS User Facilities Research Library Science and Discovery Lab-Directed R&D Careers Visit ORNL Contact Us FOR ACADEMIA Educational Programs Science and Discovery Research Library User Facilities Careers News Visit ORNL Contact Us FOR INDUSTRY Work with ORNL Economic Development Procurement Small Business Programs Careers Visit ORNL Contact Us Contact Us Site Links FAQs People User Facilities Internal Users Privacy Accessibility/508 Nondiscrimination/1557 Index Contact Us diff --git a/src/data/compiled_bios/4692.txt b/src/data/compiled_bios/4692.txt new file mode 100644 index 0000000000..f724537a44 --- /dev/null +++ b/src/data/compiled_bios/4692.txt @@ -0,0 +1 @@ + Skip to main content About Us ABOUT Brochure Fact Sheets History Honors and Awards Org Charts ORGANIZATION Directorates Divisions Leadership Team CAREERS Job Openings Working at ORNL Diversity Students and Recent Graduates Fellowships VISIT ORNL Interactive Map Getting to ORNL Getting Around ORNL Airport Information Regional Information Before You Arrive RESEARCH Hubs, Centers, and Institutes ORNL Programs Areas of Science Research Library COMMUNITY OUTREACH Corporate Giving Matching Gifts Fund Team UT-Battelle User Facilities ___ Building Technologies Research and Integration Center Carbon Fiber Technology Center Oak Ridge Leadership Computing Facility ___ Spallation Neutron Source High Flux Isotope Reactor Manufacturing Demonstration Facility ___ Center for Nanophase Material Sciences Center for Structural Molecular Biology National Transportation Research Center Science and Discovery ___ Advanced Materials Clean Energy National Security ___ Neutron Science Nuclear Science Supercomputing ___ Exascale Computing Project Hubs, Centers, and Institutes US ITER News Our People ___ Contact Us Media Contacts ___ Directorate Contacts Division Contacts ___ User Facility Contacts Experts List Careers About Us ABOUT Brochure Fact Sheets History Honors and Awards Org Charts ORGANIZATIONS Directorates Divisions Leadership Team CAREERS Job Openings Working at ORNL Diversity VISIT ORNL Interactive Map Getting to ORNL Getting Around ORNL Airport Information Regional Information Before You Arrive RESEARCH Hubs, Centers, and Institutes ORNL Programs Research Library COMMUNITY OUTREACH Corporate Giving Matching Gifts Fund Team UT-Battelle User Facilities Building Technologies Research and Integration Center Carbon Fiber Technology Center Oak Ridge Leadership Computing Facility Spallation Neutron Source High Flux Isotope Reactor Manufacturing Demonstration Facility Center for Nanophase Material Sciences Center for Structural Molecular Biology National Transportation Research Center Science and Discovery Advanced Materials Clean Energy National Security Neutron Science Nuclear Science Supercomputing Exascale Computing Project Hubs, Centers, and Institutes US ITER News Our People Contact Us Media Contacts Directorate Contacts Division Contacts User Facility Contacts Experts List Careers Contact Information schumancd@ornl.gov 865.574.6201 orcid.org/0000-0002-4264-8097 Catherine D Schuman Research Scientist Bio Katie Schuman is a Liane Russell Early Career Fellow in Computational Data Analytics at Oak Ridge National Laboratory. Katie received her doctorate in computer science from the University of Tennessee in 2015, where she completed her dissertation on the use of evolutionary algorithms to train spiking neural networks for neuromorphic systems. She is continuing her study of models and algorithms for neuromorphic computing as part of her fellowship at ORNL. Katie is also an adjunct assistant professor at the University of Tennessee, where she, along with four other professors at UT, leads a neuromorphic research team made up of 25 faculty members, graduate student researchers, and undergraduate student researchers. Publications A Soft-matter Biomolecular Memristor Synapse for Neuromorphic Systems Memristive Ion Channel-Doped Biomembranes as Synaptic Mimics Memristive Mixed-Signal Neuromorphic Systems: Energy-Efficient Learning at the Circuit-Level A Study of Complex Deep Learning Networks on High Performance, Neuromorphic, and Quantum Computers A Study of Complex Deep Learning Networks on High Performance, Neuromorphic, and Quantum Computers Pagination Current page 1 Page 2 Next page Last page Last view all Oak Ridge National Laboratory is managed by UT-Battelle for the US Department of Energy Footer First Row USER FACILITIES Building Technologies Research and Integration Center Carbon Fiber Technology Center Center for Nanophase Material Sciences Center for Structural Molecular Biology High Flux Isotope Reactor Manufacturing Demonstration Facility National Transportation Research Center Oak Ridge Leadership Computing Facility Spallation Neutron Source SCIENCE & DISCOVERY Advanced Materials Clean Energy National Security Neutron Science Nuclear Science Supercomputing US ITER Hubs, Centers, and Institutes ABOUT US Brochure Fact Sheets Leadership Team Diversity History Lab-Directed R&D Environmental Policy Footer Second Row FOR THE PUBLIC News Community Outreach Educational Programs Corporate Giving History Careers Visit ORNL Contact Us FOR RESEARCHERS User Facilities Research Library Science and Discovery Lab-Directed R&D Careers Visit ORNL Contact Us FOR ACADEMIA Educational Programs Science and Discovery Research Library User Facilities Careers News Visit ORNL Contact Us FOR INDUSTRY Work with ORNL Economic Development Procurement Small Business Programs Careers Visit ORNL Contact Us Contact Us Site Links FAQs People User Facilities Internal Users Privacy Accessibility/508 Nondiscrimination/1557 Index Contact Us diff --git a/src/data/compiled_bios/4693.txt b/src/data/compiled_bios/4693.txt new file mode 100644 index 0000000000..5300dc60ff --- /dev/null +++ b/src/data/compiled_bios/4693.txt @@ -0,0 +1 @@ + Skip to main content About Us ABOUT Brochure Fact Sheets History Honors and Awards Org Charts ORGANIZATION Directorates Divisions Leadership Team CAREERS Job Openings Working at ORNL Diversity Students and Recent Graduates Fellowships VISIT ORNL Interactive Map Getting to ORNL Getting Around ORNL Airport Information Regional Information Before You Arrive RESEARCH Hubs, Centers, and Institutes ORNL Programs Areas of Science Research Library COMMUNITY OUTREACH Corporate Giving Matching Gifts Fund Team UT-Battelle User Facilities ___ Building Technologies Research and Integration Center Carbon Fiber Technology Center Oak Ridge Leadership Computing Facility ___ Spallation Neutron Source High Flux Isotope Reactor Manufacturing Demonstration Facility ___ Center for Nanophase Material Sciences Center for Structural Molecular Biology National Transportation Research Center Science and Discovery ___ Advanced Materials Clean Energy National Security ___ Neutron Science Nuclear Science Supercomputing ___ Exascale Computing Project Hubs, Centers, and Institutes US ITER News Our People ___ Contact Us Media Contacts ___ Directorate Contacts Division Contacts ___ User Facility Contacts Experts List Careers About Us ABOUT Brochure Fact Sheets History Honors and Awards Org Charts ORGANIZATIONS Directorates Divisions Leadership Team CAREERS Job Openings Working at ORNL Diversity VISIT ORNL Interactive Map Getting to ORNL Getting Around ORNL Airport Information Regional Information Before You Arrive RESEARCH Hubs, Centers, and Institutes ORNL Programs Research Library COMMUNITY OUTREACH Corporate Giving Matching Gifts Fund Team UT-Battelle User Facilities Building Technologies Research and Integration Center Carbon Fiber Technology Center Oak Ridge Leadership Computing Facility Spallation Neutron Source High Flux Isotope Reactor Manufacturing Demonstration Facility Center for Nanophase Material Sciences Center for Structural Molecular Biology National Transportation Research Center Science and Discovery Advanced Materials Clean Energy National Security Neutron Science Nuclear Science Supercomputing Exascale Computing Project Hubs, Centers, and Institutes US ITER News Our People Contact Us Media Contacts Directorate Contacts Division Contacts User Facility Contacts Experts List Careers Contact Information sealsk@ornl.gov 865.574.8152 orcid.org/0000-0003-3233-0656 Sudip K Seal Senior R&D Staff Bio Sudip Seal is a Senior Scientist in the Computer Science and Mathematics Division, Oak Ridge National Laboratory. He is also a Joint ORNL-UT Associate Professor in the Departmentof Electrical Engineering and Computer Science, University of Tennessee, Knoxvile. He holds a PhD in computer engineering and a PhD in theoretical high energy physics. He specializes in the design and development of HPC solutionsfor large-scale science-based computational problems and, in that capacity, is actively involved in the fusion, neutron and materials sciences at present. Awards Significant Event Award (2017, Oak Ridge National Laboratory) Citation: Groundbreaking Plasma Equilibrium Computations for Next-Generation Fusion Studies, shared with Dr. Steven P. Hirshman (FMNSD). Runner-up Best Paper Award (2016, 45th International Conference on Parallel Processing) PARVMEC: An Efficient, Scalable Implementation of the Variational Moments Equilibrium Code,Sudip K. Seal, Steven P. Hirshman, Andreas Wingen, Robert S. Wilcox, Mark R. Cianciosa and Ezekial A. Unterberg. Significant Event Award (2014, Oak Ridge National Laboratory) Citation: HPC Advancements in MHD Equilibrium Analysis Capability for Future Tokamak and Stellarator Designs,shared with Dr. Steven P. Hirshman (FMNSD). Publications Parvmec: An Efficient, Scalable Implementation of the Variational Moments Equilibrium Code Investigation of Island Formation Due to Rmps In Diii-d Plasmas with the Siesta Resistive Equilibrium Code Connection Between Plasma Response and Resonant Magnetic Perturbation (rmp) Edge Localized Mode (elm) Suppression In Diii-d Nanoscale Cluster Detection In Massive Atom Probe Tomography Data An Accelerated Recursive Doubling Algorithm for Block Tridiagonal Systems Pagination Current page 1 Page 2 Page 3 Next page Last page Last view all Oak Ridge National Laboratory is managed by UT-Battelle for the US Department of Energy Footer First Row USER FACILITIES Building Technologies Research and Integration Center Carbon Fiber Technology Center Center for Nanophase Material Sciences Center for Structural Molecular Biology High Flux Isotope Reactor Manufacturing Demonstration Facility National Transportation Research Center Oak Ridge Leadership Computing Facility Spallation Neutron Source SCIENCE & DISCOVERY Advanced Materials Clean Energy National Security Neutron Science Nuclear Science Supercomputing US ITER Hubs, Centers, and Institutes ABOUT US Brochure Fact Sheets Leadership Team Diversity History Lab-Directed R&D Environmental Policy Footer Second Row FOR THE PUBLIC News Community Outreach Educational Programs Corporate Giving History Careers Visit ORNL Contact Us FOR RESEARCHERS User Facilities Research Library Science and Discovery Lab-Directed R&D Careers Visit ORNL Contact Us FOR ACADEMIA Educational Programs Science and Discovery Research Library User Facilities Careers News Visit ORNL Contact Us FOR INDUSTRY Work with ORNL Economic Development Procurement Small Business Programs Careers Visit ORNL Contact Us Contact Us Site Links FAQs People User Facilities Internal Users Privacy Accessibility/508 Nondiscrimination/1557 Index Contact Us diff --git a/src/data/compiled_bios/4694.txt b/src/data/compiled_bios/4694.txt new file mode 100644 index 0000000000..1ed164bcd7 --- /dev/null +++ b/src/data/compiled_bios/4694.txt @@ -0,0 +1 @@ + Skip to main content About Us ABOUT Brochure Fact Sheets History Honors and Awards Org Charts ORGANIZATION Directorates Divisions Leadership Team CAREERS Job Openings Working at ORNL Diversity Students and Recent Graduates Fellowships VISIT ORNL Interactive Map Getting to ORNL Getting Around ORNL Airport Information Regional Information Before You Arrive RESEARCH Hubs, Centers, and Institutes ORNL Programs Areas of Science Research Library COMMUNITY OUTREACH Corporate Giving Matching Gifts Fund Team UT-Battelle User Facilities ___ Building Technologies Research and Integration Center Carbon Fiber Technology Center Oak Ridge Leadership Computing Facility ___ Spallation Neutron Source High Flux Isotope Reactor Manufacturing Demonstration Facility ___ Center for Nanophase Material Sciences Center for Structural Molecular Biology National Transportation Research Center Science and Discovery ___ Advanced Materials Clean Energy National Security ___ Neutron Science Nuclear Science Supercomputing ___ Exascale Computing Project Hubs, Centers, and Institutes US ITER News Our People ___ Contact Us Media Contacts ___ Directorate Contacts Division Contacts ___ User Facility Contacts Experts List Careers About Us ABOUT Brochure Fact Sheets History Honors and Awards Org Charts ORGANIZATIONS Directorates Divisions Leadership Team CAREERS Job Openings Working at ORNL Diversity VISIT ORNL Interactive Map Getting to ORNL Getting Around ORNL Airport Information Regional Information Before You Arrive RESEARCH Hubs, Centers, and Institutes ORNL Programs Research Library COMMUNITY OUTREACH Corporate Giving Matching Gifts Fund Team UT-Battelle User Facilities Building Technologies Research and Integration Center Carbon Fiber Technology Center Oak Ridge Leadership Computing Facility Spallation Neutron Source High Flux Isotope Reactor Manufacturing Demonstration Facility Center for Nanophase Material Sciences Center for Structural Molecular Biology National Transportation Research Center Science and Discovery Advanced Materials Clean Energy National Security Neutron Science Nuclear Science Supercomputing Exascale Computing Project Hubs, Centers, and Institutes US ITER News Our People Contact Us Media Contacts Directorate Contacts Division Contacts User Facility Contacts Experts List Careers Contact Information shankarm@ornl.gov 865.574.2704 orcid.org/0000-0001-5289-7460 Mallikarjun (Arjun) Shankar Publications Reliable Broadcast Under Cascading Failures In Interdependent Networks Survey of Approaches to Generate Realistic Synthetic Graphs Reliable Communication Models In Interdependent Critical Infrastructure Networks Utilizing Semantic Big Data for Realizing a National-scale Infrastructure Vulnerability Analysis System Beam: A Computational Workflow System for Managing and Modeling Material Characterization Data In Hpc Environments Pagination Current page 1 Page 2 Page 3 Next page Last page Last view all Oak Ridge National Laboratory is managed by UT-Battelle for the US Department of Energy Footer First Row USER FACILITIES Building Technologies Research and Integration Center Carbon Fiber Technology Center Center for Nanophase Material Sciences Center for Structural Molecular Biology High Flux Isotope Reactor Manufacturing Demonstration Facility National Transportation Research Center Oak Ridge Leadership Computing Facility Spallation Neutron Source SCIENCE & DISCOVERY Advanced Materials Clean Energy National Security Neutron Science Nuclear Science Supercomputing US ITER Hubs, Centers, and Institutes ABOUT US Brochure Fact Sheets Leadership Team Diversity History Lab-Directed R&D Environmental Policy Footer Second Row FOR THE PUBLIC News Community Outreach Educational Programs Corporate Giving History Careers Visit ORNL Contact Us FOR RESEARCHERS User Facilities Research Library Science and Discovery Lab-Directed R&D Careers Visit ORNL Contact Us FOR ACADEMIA Educational Programs Science and Discovery Research Library User Facilities Careers News Visit ORNL Contact Us FOR INDUSTRY Work with ORNL Economic Development Procurement Small Business Programs Careers Visit ORNL Contact Us Contact Us Site Links FAQs People User Facilities Internal Users Privacy Accessibility/508 Nondiscrimination/1557 Index Contact Us diff --git a/src/data/compiled_bios/4695.txt b/src/data/compiled_bios/4695.txt new file mode 100644 index 0000000000..3af23bfeb8 --- /dev/null +++ b/src/data/compiled_bios/4695.txt @@ -0,0 +1 @@ + Skip to main content About Us ABOUT Brochure Fact Sheets History Honors and Awards Org Charts ORGANIZATION Directorates Divisions Leadership Team CAREERS Job Openings Working at ORNL Diversity Students and Recent Graduates Fellowships VISIT ORNL Interactive Map Getting to ORNL Getting Around ORNL Airport Information Regional Information Before You Arrive RESEARCH Hubs, Centers, and Institutes ORNL Programs Areas of Science Research Library COMMUNITY OUTREACH Corporate Giving Matching Gifts Fund Team UT-Battelle User Facilities ___ Building Technologies Research and Integration Center Carbon Fiber Technology Center Oak Ridge Leadership Computing Facility ___ Spallation Neutron Source High Flux Isotope Reactor Manufacturing Demonstration Facility ___ Center for Nanophase Material Sciences Center for Structural Molecular Biology National Transportation Research Center Science and Discovery ___ Advanced Materials Clean Energy National Security ___ Neutron Science Nuclear Science Supercomputing ___ Exascale Computing Project Hubs, Centers, and Institutes US ITER News Our People ___ Contact Us Media Contacts ___ Directorate Contacts Division Contacts ___ User Facility Contacts Experts List Careers About Us ABOUT Brochure Fact Sheets History Honors and Awards Org Charts ORGANIZATIONS Directorates Divisions Leadership Team CAREERS Job Openings Working at ORNL Diversity VISIT ORNL Interactive Map Getting to ORNL Getting Around ORNL Airport Information Regional Information Before You Arrive RESEARCH Hubs, Centers, and Institutes ORNL Programs Research Library COMMUNITY OUTREACH Corporate Giving Matching Gifts Fund Team UT-Battelle User Facilities Building Technologies Research and Integration Center Carbon Fiber Technology Center Oak Ridge Leadership Computing Facility Spallation Neutron Source High Flux Isotope Reactor Manufacturing Demonstration Facility Center for Nanophase Material Sciences Center for Structural Molecular Biology National Transportation Research Center Science and Discovery Advanced Materials Clean Energy National Security Neutron Science Nuclear Science Supercomputing Exascale Computing Project Hubs, Centers, and Institutes US ITER News Our People Contact Us Media Contacts Directorate Contacts Division Contacts User Facility Contacts Experts List Careers Contact Information steedca@ornl.gov 865.574.7168 orcid.org/0000-0002-3501-909X Chad A Steed Team Leader and Senior Research Staff Bio Dr.Chad A.Steed is a senior staff researcher and the leader of the Interactive Data Science Team in the Computational Data Analytics Group at Oak Ridge National Laboratory (ORNL) . He holds a Joint Faculty Appointment with the University of Tennessee's Electrical Engineering and Computer Science Department and he is an Adjunct Professor with Mississippi State University's Department of Computer Science and Engineering . Before joining ORNL in 2010, he spent nine years as a scientist with the Naval Research Laboratory. Dr.Steed has a Ph.D.degree in Computer Science from Mississippi State University, where he studied visualization and computer graphics. He also received a B.S.in Software Engineering and a M.S.in Hydrographic Science from the University of Southern Mississippi. Dr.Steed's research spans the life cycle of data science including interactive data visualization, data mining, human-computer interaction, visual perception, databases, and graphical design. His current focus is to design systems that combine automated analytics with interactive visualizations to enhance human exploration and comprehension of complex data. Dr.Steed is the recipient of the 2014 UT-Battelle Early Career Researcher Award, the 2014 ORNL Technology Commercialization Award, the 2013 R&D 100 Award, and the 2013 ORNL Technology Commercialization Award. Dr.Steed has over 80 publications, 3 patents, and he has served as the lead PI on 12 grants totaling $5.7M. In addition to being a senior member of the IEEE and IEEE Computer Society, he is a member of the ACM, ACM SIGGRAPH, and ACM SIGCHI. Visit http://csteed.com for more information about Dr. Steed and his research. Publications Immersive Visual Analytics for Transformative Neutron Scattering Science Matisse: A Visual Analytics System for Exploring Emotion Trends In Social Media Text Streams Immersive Visualization for Materials Science Data Analysis Using the Oculus Rift Orbit: Oak Ridge Bio-surveillance Toolkit for Public Health Dynamics Discovering Multi-scale Co-occurrence Patterns of Asthma and Influenza with the Oak Ridge Bio-surveillance Toolkit Pagination Current page 1 Page 2 Page 3 Next page Last page Last view all Oak Ridge National Laboratory is managed by UT-Battelle for the US Department of Energy Footer First Row USER FACILITIES Building Technologies Research and Integration Center Carbon Fiber Technology Center Center for Nanophase Material Sciences Center for Structural Molecular Biology High Flux Isotope Reactor Manufacturing Demonstration Facility National Transportation Research Center Oak Ridge Leadership Computing Facility Spallation Neutron Source SCIENCE & DISCOVERY Advanced Materials Clean Energy National Security Neutron Science Nuclear Science Supercomputing US ITER Hubs, Centers, and Institutes ABOUT US Brochure Fact Sheets Leadership Team Diversity History Lab-Directed R&D Environmental Policy Footer Second Row FOR THE PUBLIC News Community Outreach Educational Programs Corporate Giving History Careers Visit ORNL Contact Us FOR RESEARCHERS User Facilities Research Library Science and Discovery Lab-Directed R&D Careers Visit ORNL Contact Us FOR ACADEMIA Educational Programs Science and Discovery Research Library User Facilities Careers News Visit ORNL Contact Us FOR INDUSTRY Work with ORNL Economic Development Procurement Small Business Programs Careers Visit ORNL Contact Us Contact Us Site Links FAQs People User Facilities Internal Users Privacy Accessibility/508 Nondiscrimination/1557 Index Contact Us diff --git a/src/data/compiled_bios/4696.txt b/src/data/compiled_bios/4696.txt new file mode 100644 index 0000000000..ade5e7e0b3 --- /dev/null +++ b/src/data/compiled_bios/4696.txt @@ -0,0 +1 @@ + Skip to main content About Us ABOUT Brochure Fact Sheets History Honors and Awards Org Charts ORGANIZATION Directorates Divisions Leadership Team CAREERS Job Openings Working at ORNL Diversity Students and Recent Graduates Fellowships VISIT ORNL Interactive Map Getting to ORNL Getting Around ORNL Airport Information Regional Information Before You Arrive RESEARCH Hubs, Centers, and Institutes ORNL Programs Areas of Science Research Library COMMUNITY OUTREACH Corporate Giving Matching Gifts Fund Team UT-Battelle User Facilities ___ Building Technologies Research and Integration Center Carbon Fiber Technology Center Oak Ridge Leadership Computing Facility ___ Spallation Neutron Source High Flux Isotope Reactor Manufacturing Demonstration Facility ___ Center for Nanophase Material Sciences Center for Structural Molecular Biology National Transportation Research Center Science and Discovery ___ Advanced Materials Clean Energy National Security ___ Neutron Science Nuclear Science Supercomputing ___ Exascale Computing Project Hubs, Centers, and Institutes US ITER News Our People ___ Contact Us Media Contacts ___ Directorate Contacts Division Contacts ___ User Facility Contacts Experts List Careers About Us ABOUT Brochure Fact Sheets History Honors and Awards Org Charts ORGANIZATIONS Directorates Divisions Leadership Team CAREERS Job Openings Working at ORNL Diversity VISIT ORNL Interactive Map Getting to ORNL Getting Around ORNL Airport Information Regional Information Before You Arrive RESEARCH Hubs, Centers, and Institutes ORNL Programs Research Library COMMUNITY OUTREACH Corporate Giving Matching Gifts Fund Team UT-Battelle User Facilities Building Technologies Research and Integration Center Carbon Fiber Technology Center Oak Ridge Leadership Computing Facility Spallation Neutron Source High Flux Isotope Reactor Manufacturing Demonstration Facility Center for Nanophase Material Sciences Center for Structural Molecular Biology National Transportation Research Center Science and Discovery Advanced Materials Clean Energy National Security Neutron Science Nuclear Science Supercomputing Exascale Computing Project Hubs, Centers, and Institutes US ITER News Our People Contact Us Media Contacts Directorate Contacts Division Contacts User Facility Contacts Experts List Careers Contact Information vetter@ornl.gov 865.576.7115 orcid.org/0000-0002-2449-6720 Jeffrey S Vetter Publications Clacc: Translating Openacc to Openmp In Clang Dragon: Breaking Gpu Memory Capacity Limits with Direct Nvm Access Panorama: An Approach to Performance Modeling and Diagnosis of Extreme Scale Workflows Nvl-c: Static Analysis Techniques for Efficient, Correct Programming of Non-volatile Main Memory Systems Openacc to Fpga: A Framework for Directive-based High-performance Reconfigurable Computing Pagination Current page 1 Page 2 Page 3 Next page Last page Last view all Oak Ridge National Laboratory is managed by UT-Battelle for the US Department of Energy Footer First Row USER FACILITIES Building Technologies Research and Integration Center Carbon Fiber Technology Center Center for Nanophase Material Sciences Center for Structural Molecular Biology High Flux Isotope Reactor Manufacturing Demonstration Facility National Transportation Research Center Oak Ridge Leadership Computing Facility Spallation Neutron Source SCIENCE & DISCOVERY Advanced Materials Clean Energy National Security Neutron Science Nuclear Science Supercomputing US ITER Hubs, Centers, and Institutes ABOUT US Brochure Fact Sheets Leadership Team Diversity History Lab-Directed R&D Environmental Policy Footer Second Row FOR THE PUBLIC News Community Outreach Educational Programs Corporate Giving History Careers Visit ORNL Contact Us FOR RESEARCHERS User Facilities Research Library Science and Discovery Lab-Directed R&D Careers Visit ORNL Contact Us FOR ACADEMIA Educational Programs Science and Discovery Research Library User Facilities Careers News Visit ORNL Contact Us FOR INDUSTRY Work with ORNL Economic Development Procurement Small Business Programs Careers Visit ORNL Contact Us Contact Us Site Links FAQs People User Facilities Internal Users Privacy Accessibility/508 Nondiscrimination/1557 Index Contact Us diff --git a/src/data/compiled_bios/4697.txt b/src/data/compiled_bios/4697.txt new file mode 100644 index 0000000000..bb78b9ab3c --- /dev/null +++ b/src/data/compiled_bios/4697.txt @@ -0,0 +1 @@ + Skip to main content About Us ABOUT Brochure Fact Sheets History Honors and Awards Org Charts ORGANIZATION Directorates Divisions Leadership Team CAREERS Job Openings Working at ORNL Diversity Students and Recent Graduates Fellowships VISIT ORNL Interactive Map Getting to ORNL Getting Around ORNL Airport Information Regional Information Before You Arrive RESEARCH Hubs, Centers, and Institutes ORNL Programs Areas of Science Research Library COMMUNITY OUTREACH Corporate Giving Matching Gifts Fund Team UT-Battelle User Facilities ___ Building Technologies Research and Integration Center Carbon Fiber Technology Center Oak Ridge Leadership Computing Facility ___ Spallation Neutron Source High Flux Isotope Reactor Manufacturing Demonstration Facility ___ Center for Nanophase Material Sciences Center for Structural Molecular Biology National Transportation Research Center Science and Discovery ___ Advanced Materials Clean Energy National Security ___ Neutron Science Nuclear Science Supercomputing ___ Exascale Computing Project Hubs, Centers, and Institutes US ITER News Our People ___ Contact Us Media Contacts ___ Directorate Contacts Division Contacts ___ User Facility Contacts Experts List Careers About Us ABOUT Brochure Fact Sheets History Honors and Awards Org Charts ORGANIZATIONS Directorates Divisions Leadership Team CAREERS Job Openings Working at ORNL Diversity VISIT ORNL Interactive Map Getting to ORNL Getting Around ORNL Airport Information Regional Information Before You Arrive RESEARCH Hubs, Centers, and Institutes ORNL Programs Research Library COMMUNITY OUTREACH Corporate Giving Matching Gifts Fund Team UT-Battelle User Facilities Building Technologies Research and Integration Center Carbon Fiber Technology Center Oak Ridge Leadership Computing Facility Spallation Neutron Source High Flux Isotope Reactor Manufacturing Demonstration Facility Center for Nanophase Material Sciences Center for Structural Molecular Biology National Transportation Research Center Science and Discovery Advanced Materials Clean Energy National Security Neutron Science Nuclear Science Supercomputing Exascale Computing Project Hubs, Centers, and Institutes US ITER News Our People Contact Us Media Contacts Directorate Contacts Division Contacts User Facility Contacts Experts List Careers Contact Information wangd@ornl.gov 865.241.8679 orcid.org/0000-0001-6806-5108 Dali Wang Bio Dr. Wang is a Senior R&D Staff at Oak Ridge National Laboratory (ORNL) and a Joint Associate Professor of Computer Science at the University of Tennessee, Knoxville. Dr. Wang has research interests in artificial intelligence, large-scale environmental system modeling, machine learning and data science, high-performance computing (HPC), developmental biology, and geographic information system. Dr. Wang earned hisPh.D. in Environmental Engineering (computational science focus), MS in Computer Science, and MSC in Computational Sciences and Engineering, all from Rensselaer Polytechnic Institute, Troy, NY. Prior to ORNL, Dr. Wang was an HPC Infrastructure Manager at Southeastern Universities Research Association in Washington, DC. Dr. Wang is the author (co-author) of over 90 peer-reviewed publications (papers, data, and software products) and the PI (co-PI) of over 30 funded projects. Dr. Wang is an IEEE Senior Member and a Board Member of the International Environmental Modelling & Software Society. Publications Building A Virtual Ecosystem Dynamic Model for Root Research Data Synthesis In the Community Land Model for Ecosystem Simulation A Scalable Framework for the Global Offline Community Land Model Ensemble Simulation User-extensible Compiler Toolchains for Refactoring Cse Software Development of Mpi_epic Model for Global Agroecosystem Modeling Pagination Current page 1 Page 2 Page 3 Next page Last page Last view all Oak Ridge National Laboratory is managed by UT-Battelle for the US Department of Energy Footer First Row USER FACILITIES Building Technologies Research and Integration Center Carbon Fiber Technology Center Center for Nanophase Material Sciences Center for Structural Molecular Biology High Flux Isotope Reactor Manufacturing Demonstration Facility National Transportation Research Center Oak Ridge Leadership Computing Facility Spallation Neutron Source SCIENCE & DISCOVERY Advanced Materials Clean Energy National Security Neutron Science Nuclear Science Supercomputing US ITER Hubs, Centers, and Institutes ABOUT US Brochure Fact Sheets Leadership Team Diversity History Lab-Directed R&D Environmental Policy Footer Second Row FOR THE PUBLIC News Community Outreach Educational Programs Corporate Giving History Careers Visit ORNL Contact Us FOR RESEARCHERS User Facilities Research Library Science and Discovery Lab-Directed R&D Careers Visit ORNL Contact Us FOR ACADEMIA Educational Programs Science and Discovery Research Library User Facilities Careers News Visit ORNL Contact Us FOR INDUSTRY Work with ORNL Economic Development Procurement Small Business Programs Careers Visit ORNL Contact Us Contact Us Site Links FAQs People User Facilities Internal Users Privacy Accessibility/508 Nondiscrimination/1557 Index Contact Us diff --git a/src/data/compiled_bios/4698.txt b/src/data/compiled_bios/4698.txt new file mode 100644 index 0000000000..800181c8c2 --- /dev/null +++ b/src/data/compiled_bios/4698.txt @@ -0,0 +1 @@ + Skip to main content About Us ABOUT Brochure Fact Sheets History Honors and Awards Org Charts ORGANIZATION Directorates Divisions Leadership Team CAREERS Job Openings Working at ORNL Diversity Students and Recent Graduates Fellowships VISIT ORNL Interactive Map Getting to ORNL Getting Around ORNL Airport Information Regional Information Before You Arrive RESEARCH Hubs, Centers, and Institutes ORNL Programs Areas of Science Research Library COMMUNITY OUTREACH Corporate Giving Matching Gifts Fund Team UT-Battelle User Facilities ___ Building Technologies Research and Integration Center Carbon Fiber Technology Center Oak Ridge Leadership Computing Facility ___ Spallation Neutron Source High Flux Isotope Reactor Manufacturing Demonstration Facility ___ Center for Nanophase Material Sciences Center for Structural Molecular Biology National Transportation Research Center Science and Discovery ___ Advanced Materials Clean Energy National Security ___ Neutron Science Nuclear Science Supercomputing ___ Exascale Computing Project Hubs, Centers, and Institutes US ITER News Our People ___ Contact Us Media Contacts ___ Directorate Contacts Division Contacts ___ User Facility Contacts Experts List Careers About Us ABOUT Brochure Fact Sheets History Honors and Awards Org Charts ORGANIZATIONS Directorates Divisions Leadership Team CAREERS Job Openings Working at ORNL Diversity VISIT ORNL Interactive Map Getting to ORNL Getting Around ORNL Airport Information Regional Information Before You Arrive RESEARCH Hubs, Centers, and Institutes ORNL Programs Research Library COMMUNITY OUTREACH Corporate Giving Matching Gifts Fund Team UT-Battelle User Facilities Building Technologies Research and Integration Center Carbon Fiber Technology Center Oak Ridge Leadership Computing Facility Spallation Neutron Source High Flux Isotope Reactor Manufacturing Demonstration Facility Center for Nanophase Material Sciences Center for Structural Molecular Biology National Transportation Research Center Science and Discovery Advanced Materials Clean Energy National Security Neutron Science Nuclear Science Supercomputing Exascale Computing Project Hubs, Centers, and Institutes US ITER News Our People Contact Us Media Contacts Directorate Contacts Division Contacts User Facility Contacts Experts List Careers Contact Information fwang2@ornl.gov 865.574.7209 orcid.org/0000-0002-0099-1559 Feiyi Wang Publications A Practical Approach to Reconciling Availability, Performance, And Capacity In Provisioning Extreme-scale Storage Systems Comparative I/o Workload Characterization of Two Leadership Class Storage Clusters A More Realistic Way of Stressing the End-to-end I/o System Improving Large-scale Storage System Performance Via Topology-aware and Balanced Data Placement A Report on Simulation-driven Reliability and Failure Analysis of Large-scale Storage Systems Pagination Current page 1 Page 2 Page 3 Next page Last page Last view all Oak Ridge National Laboratory is managed by UT-Battelle for the US Department of Energy Footer First Row USER FACILITIES Building Technologies Research and Integration Center Carbon Fiber Technology Center Center for Nanophase Material Sciences Center for Structural Molecular Biology High Flux Isotope Reactor Manufacturing Demonstration Facility National Transportation Research Center Oak Ridge Leadership Computing Facility Spallation Neutron Source SCIENCE & DISCOVERY Advanced Materials Clean Energy National Security Neutron Science Nuclear Science Supercomputing US ITER Hubs, Centers, and Institutes ABOUT US Brochure Fact Sheets Leadership Team Diversity History Lab-Directed R&D Environmental Policy Footer Second Row FOR THE PUBLIC News Community Outreach Educational Programs Corporate Giving History Careers Visit ORNL Contact Us FOR RESEARCHERS User Facilities Research Library Science and Discovery Lab-Directed R&D Careers Visit ORNL Contact Us FOR ACADEMIA Educational Programs Science and Discovery Research Library User Facilities Careers News Visit ORNL Contact Us FOR INDUSTRY Work with ORNL Economic Development Procurement Small Business Programs Careers Visit ORNL Contact Us Contact Us Site Links FAQs People User Facilities Internal Users Privacy Accessibility/508 Nondiscrimination/1557 Index Contact Us diff --git a/src/data/compiled_bios/4699.txt b/src/data/compiled_bios/4699.txt new file mode 100644 index 0000000000..55d81e6c88 --- /dev/null +++ b/src/data/compiled_bios/4699.txt @@ -0,0 +1 @@ + Skip to main content About Us ABOUT Brochure Fact Sheets History Honors and Awards Org Charts ORGANIZATION Directorates Divisions Leadership Team CAREERS Job Openings Working at ORNL Diversity Students and Recent Graduates Fellowships VISIT ORNL Interactive Map Getting to ORNL Getting Around ORNL Airport Information Regional Information Before You Arrive RESEARCH Hubs, Centers, and Institutes ORNL Programs Areas of Science Research Library COMMUNITY OUTREACH Corporate Giving Matching Gifts Fund Team UT-Battelle User Facilities ___ Building Technologies Research and Integration Center Carbon Fiber Technology Center Oak Ridge Leadership Computing Facility ___ Spallation Neutron Source High Flux Isotope Reactor Manufacturing Demonstration Facility ___ Center for Nanophase Material Sciences Center for Structural Molecular Biology National Transportation Research Center Science and Discovery ___ Advanced Materials Clean Energy National Security ___ Neutron Science Nuclear Science Supercomputing ___ Exascale Computing Project Hubs, Centers, and Institutes US ITER News Our People ___ Contact Us Media Contacts ___ Directorate Contacts Division Contacts ___ User Facility Contacts Experts List Careers About Us ABOUT Brochure Fact Sheets History Honors and Awards Org Charts ORGANIZATIONS Directorates Divisions Leadership Team CAREERS Job Openings Working at ORNL Diversity VISIT ORNL Interactive Map Getting to ORNL Getting Around ORNL Airport Information Regional Information Before You Arrive RESEARCH Hubs, Centers, and Institutes ORNL Programs Research Library COMMUNITY OUTREACH Corporate Giving Matching Gifts Fund Team UT-Battelle User Facilities Building Technologies Research and Integration Center Carbon Fiber Technology Center Oak Ridge Leadership Computing Facility Spallation Neutron Source High Flux Isotope Reactor Manufacturing Demonstration Facility Center for Nanophase Material Sciences Center for Structural Molecular Biology National Transportation Research Center Science and Discovery Advanced Materials Clean Energy National Security Neutron Science Nuclear Science Supercomputing Exascale Computing Project Hubs, Centers, and Institutes US ITER News Our People Contact Us Media Contacts Directorate Contacts Division Contacts User Facility Contacts Experts List Careers Contact Information xiaok@ornl.gov 865.574.7690 orcid.org/0000-0002-0402-8276 Kai Xiao Staff Scientist and UT/ORNL Joint Faculty Download CV Bio Dr. Kai Xiao is a senior staff scientist in the Functional Hybrid Nanomaterials Group at Center for Nanophase Materials Sciences, ORNL and a joint faculty at Bredesen Center and Department of Computer Science and Electrical Engineering, University of Tennessee at Knoxville. He received his Ph.D. degree in Physic Chemistry in 2004 from Institute of Chemistry, Chinese Academy of Sciences. Then he worked as a postdoc associate at CNMS and became a staff scientist in 2008. He has published about 120 papers, several patents, and 4 book chapters. Google Site homepage: https://sites.google.com/site/xiaokaiemm0/homapageHis research focuses on understanding and controlling the synthesis and processing of thin films and nanostructured materials for energy-related devices. 1. Two-dimensional (2D) nanomaterials, including transition metal dichalcogenides, metal monochalcogenides, and graphene.Rational design and controlled synthesis, characterization, processing and applications of novel 2D layered materials and fundamental investigation of new chemical, optical, electronic and magnetic properties: Synthesis of 2D nanomaterials and their van der Waals heterostructures using CVD, PVD, mechanic exfoliation, and dry transfer methods; Optical, structural, and electrical characterization of 2D nanomaterials; Charge transport study of 2D nanomaterials;2. Solution-processed organic semiconductors and hybrid perovskites for thin film electronic devices, including field-effect transistors (FETs) and photovoltaics (PVs), spin valves, organic memory, sensors.Understanding the correlations between the controlled processing, structure, and device performance of solution-processed semiconductor materials (small molecules, conducting polymers, and hybrid perovskites) with the multiscale characterizations such as electron microscopy, neutron/x-ray scattering, and various optical spectroscopy; Processing those materials using various methods, including spin-coating, thermal deposition, spray printing, to form gradient or doped single/multilayer thin films for energy-related electronic devices (OFETs, OPVs, memories, sensors). 3. Inorganic/organic nanoscale electronics.Understanding the charge transport process and optoelectronic functionality in 1D and 2D nanoscale electronic devices (FETs, photodetectors, memories) of inorganic/organic nanostructures.Professional and Synergistic ActivitiesInternational Advisory Committee, International Conference on Computational Mathematics in Nanoelectronics and Astrophysics, India, 2018.Program Committee of 2D Materials of AVS 65th International Symposium & Exhibition (2018)Symposium Organizer, Emerging 2D Non-Graphene Materials in XXVII International Materials Research Congress, Mexico (IMRC2018).Workshop Organizer, Synthesis and Collective Phenomena in 2D and Layered Materials workshop in 2017 Joint Nanoscience and Neutron Scattering User Meeting, 2017Proposal Reviewer: NSF Reviewer Panel on Organic Electronics, Materials Engineering and Processing Program (MEP), DOE-BES proposal reviewer, User proposal reviewer for the Molecular Foundry at Laurence Berkeley National laboratory and Stanford Synchrotron Radiation Lightsource (SSRL). Editorial Board: Scientific Report; AIMS Materials ScienceJournal Reviewer: Nature, Nature Nanotechnology; Nature Comm.; Light: Science & Applications; NPG Asia Materials; Scientific Report; J. Am. Chem. Soc.; Nano Letters, J. Phys. Chem. B; Chem. Mater.; ACS Nano; Langmuir; Phys. Rev. B; Angew. Chem. Int. Ed.; Adv. Mater.; Adv. Func. Mater.; Adv. Energy Mater.; Small; ChemSusChem; PCCP; Chem. Eur. J; Appl. Phys. Lett.; Nanoscale; J. Mater. Chem.; Polymer Chemistry; Polymer Reviews; J. Appl. Polymer Sci.; Two-Dimensional Materials; Materials Today. Awards 2007 The National Top 100 Excellent Ph. D. Thesis Award in China, Ministry of Education2006 The Top 50 Excellent Ph. D. Thesis Award of the Chinese Academy of Sciences 2004 Outstanding Thesis Award of the 24th Annual Meeting, Chinese Chemical Society Facility Center for Nanophase Materials Sciences (CNMS) http://cnms.ornl.gov Patents Patterned Two-Dimensional Heterocrystals, D. B. Geohegan, M-W. Lin, M. Mahjouri-Samani, A. Puretzky, C. M. Rouleau, K. Wang, K. Xiao, 201503565, DOE S-138,201. Oak Ridge National Laboratory is managed by UT-Battelle for the US Department of Energy Footer First Row USER FACILITIES Building Technologies Research and Integration Center Carbon Fiber Technology Center Center for Nanophase Material Sciences Center for Structural Molecular Biology High Flux Isotope Reactor Manufacturing Demonstration Facility National Transportation Research Center Oak Ridge Leadership Computing Facility Spallation Neutron Source SCIENCE & DISCOVERY Advanced Materials Clean Energy National Security Neutron Science Nuclear Science Supercomputing US ITER Hubs, Centers, and Institutes ABOUT US Brochure Fact Sheets Leadership Team Diversity History Lab-Directed R&D Environmental Policy Footer Second Row FOR THE PUBLIC News Community Outreach Educational Programs Corporate Giving History Careers Visit ORNL Contact Us FOR RESEARCHERS User Facilities Research Library Science and Discovery Lab-Directed R&D Careers Visit ORNL Contact Us FOR ACADEMIA Educational Programs Science and Discovery Research Library User Facilities Careers News Visit ORNL Contact Us FOR INDUSTRY Work with ORNL Economic Development Procurement Small Business Programs Careers Visit ORNL Contact Us Contact Us Site Links FAQs People User Facilities Internal Users Privacy Accessibility/508 Nondiscrimination/1557 Index Contact Us diff --git a/src/data/compiled_bios/47.txt b/src/data/compiled_bios/47.txt new file mode 100644 index 0000000000..d4e14c9729 --- /dev/null +++ b/src/data/compiled_bios/47.txt @@ -0,0 +1 @@ + Alex Kirlik Professor 4220 Siebel Center for Comp Sci 201 N. Goodwin Ave. Urbana Illinois 61801 (217) 244-8972 kirlik@illinois.edu : Primary Research Area Graphics, Visualization and HCI - Human-Computer Interaction Research Areas Human-Computer Interaction Visualization Biography Alex Kirlik is Professor in the Department of Computer Science with additional appointments in the Department of Industrial & Enterprise Systems Engineering, the Department of Electrical and Computer Engineering, the Beckman Institute for Advanced Science and Technology, and the Information Trust Institute, the Coordinated Science Laboratory, the Intelligent Robotics Laboratory and the Illinois Informatics Institute. He previously served as acting head of Illinois's Human Factors program in the Institute of Aviation from 2006-2010. Alex earned his B.S., M.S. and Ph.D. degrees in Industrial & Systems Engineering (Human-Machine Systems) at The Ohio State University. His Ph.D. thesis, "The organization of perception and action in complex control skills" earned the George Briggs Award from APA's Division of Applied Experimental and Engineering Psychologists, as the best dissertation of the year. During his academic career, in addition to positions held with his home institutions at the University of Illinois (2002-date) and Georgia Tech (1989-2001), Alex has held visiting positions at Stanford University and NASA Ames Research Center (ASEE-NASA Stanford Summer Faculty Fellow, 1989, 1990), Yale University, Haskins Laboratory and the University of Connecticut (Visiting Scholar, 2001-02 academic year), Draper Laboratory, Cambridge, MA (Sabbatical Research, 2012-13 academic year), and the Liberty Mutual Research Institute for Safety (Visiting Scholar, summer 2015). Alex's research interests include human-computer interaction, human factors, visual analytics to support judgment and decision making, human-robot interaction, social computing, human-automation interaction and decision support is sociotechnical systems such as aviation, space, intelligence analysis, severe weather forecasting, disaster and emergency response, healthcare and medicine, autonomous vehicles, education and so forth. Alex's approach to teaching and mentoring students is naturally dependent of the level of instruction involved. Perhaps one notable aspect of his educational approach is that no crisp line can be drawn between his interests and activities in research and teaching. For example, he has advised 2 PhD dissertations on the development and evaluation of new techniques and technologies for teaching engineering design.His research and educational activities also dovetail in the realm of his graduate seminars, which are intensively group- and project-based, typically involving students in actual research projects to motivate and animate the course material. For example, in 2010 Alex seized on an opportunity afforded by a U.S. Challenge.gov Health and Human Services competition that required competing project teams to design a Facebook app that would be useful to people in the aftermath of natural disasters and emergencies. This project not only involved the students, working as a design team, to create a conceptual design for the app, but to also create a working software prototype and a video demo. The competition was open to any group who wanted to enter it was not specifically targeted to the educational community or to educational institutions. The students design earned 3rd place nationally. Education Ph.D. Industrial & Systems Engineering, The Ohio State University, 1989. . Research Statement Alex Kirliks research program in human-computer interaction, human factors, and cognitive science & engineering has focused on understanding and supporting the cognition (judgment, decision making, prediction, problem solving and system control), of professionals working in technological workplaces, operational contexts and sociotechnical systems. His research contributing to commercial aviation safety in both airborne and ground operations has been supported by NASA for over 25 years. Recently, aspects of these lines of research have matured into NSF- and NASA-sponsored multidisciplinary projects, joint with collaborators in aerospace, mechanical and software engineering, to create and evaluate formal techniques and general principles for the design of safe and robust cyber-physical-human systems comprised of people and hardware and software automation: Engineering Safety-Critical Cyber-Physical-Human (CPH) Systems. The aim of this research, which is relevant to applications not solely in aviation but in contexts such as healthcare and highways, is to achieve levels of human-automation system performance, robustness and safety exceeding what would be achievable by either a human or automation acting alone. A 5-minute public video demo illustrating this work in an aviation context is available at: www.youtube.com/watch . A second major thrust of Alex's research concerns support for judgment and decision making in high-stakes tasks. This line of research developed into an NSF-sponsored project to develop and evaluate quantitative models of judgment in technological systems (e.g., KIrlik, 2006, Adaptive Perspectives on Human-Technology Interaction , NY: Oxford; see: www.oup.com/us/companion.websites/9780195171822/ ). Recently, Alex also participated in an IARPA-sponsored project to develop visual analytics to support intelligence analysts in forecasting world events: http://www.draper.com/news/draper-team-aims-improve-predictions-through-sp-de/?cc=us&lang=en&" , and most recently, he and his multi-disciplinary team began a 3-year research project involving the design and use of domestic, aerial and ground robotics to support aging-in-place called ASPIRE: Automation Supporting Prolonged Independent Residence for the Elderly, sponsored by the National Robotics Initiative. A brief video showing progress to date, presented at the October, 2016 "Aging 2.0" conference in San Francisco can be viewed at: https://www.youtube.com/watch?v=YoUvRaTnA8c#action=share" Also, Alex has co-edited (with J.D. Lee) the first authoritative handbook of its kind, The Oxford Handbook of Cognitive Engineering (2013), representing the contributions of more than 60 of the disciplines most influential and accomplished researchers. He has been editor of the Oxford Series in Human-Technology Interaction for Oxford University Press for more than 10 years, a series that includes more than a dozen scholarly books and edited volumes by prominent researchers published to date: https://global.oup.com/academic/content/series/h/human-technology-interaction-series-hti/?cc=us&lang=en& Undergraduate Research Opportunities Alex often has paid or for-credit undergraduate research opportunities in both human-computer interaction and human factors. Primary Research Area Graphics, Visualization and HCI - Human-Computer Interaction Research Areas Human-Computer Interaction Visualization . Books Edited or Co-Edited (Original Editions) Lee, J.D. & Kirlik, A. (Eds.) The Oxford Handbook of Cognitive Engineering. New York: Oxford University Press, 2013. Vicente, K (Au), Kirlik, A. (Ed.). Human-Tech: Ethical and Scientific Foundations. New York, Oxford University Press, 2011. Kramer, A., Weigman, D. & Kirlik, A. (Eds.). Attention: From Theory to Practice. New York, Oxford University Press, 2006. Kirlik, A. (Ed). Adaptive Perspectives on Human-Technology Interaction: Methods and Models for Cognitive Engineering and Human-Computer Interaction. New York, Oxford University Press, 2006. Chapters in Books Kirlik, A. & Byrne, M.D. (in press/expected 2018). Computational models of expertise. To appear in (E. Roth et al., Eds.) The Oxford Handbook of Expertise. NY: Oxford University Press. Kirlik, A., Ackerman, K., Seefeldt, B., Xargay, E., Riddle, K., Talleur, D., Carbonari, R., Sha, L. & Hovakimyan N. (2017). Visualizing automation in aviation interfaces. In (J. Flach, P. Tsang, and M. Vidulich, Eds.), Avances in Aviation Psychology, Vol. 2. Routledge.. Lee, J.D. & A. Kirlik (2013). Introduction to the handbook. In J.D. Lee & A. Kirlik, The Oxford Handbook of Cognitive Engineering. NY: Oxford University Press. Kirlik, A. (2013). Judgment analysis. In J.D. Lee & A. Kirlik, The Oxford Handbook of Cognitive Engineering. NY: Oxford University Press. Kirlik, A. (2012). An overview of human factors. In S.W.K Kozlowski (Ed.), The Oxford Handbook of Organizational Psychology. New York: Oxford University Press. Kirlik, A. & Bertel, S. (2011). Decision making under pressure and constraints: Bounded rationality. Wiley Encyclopedia of Operations Research and Management Science. NY: Wiley. Bertel, S. & Kirlik (2011). Fast and frugal heuristics. Wiley Encyclopedia of Operations Research and Management Science: NY: Wiley. Kirlik, A. (2011). Introduction. In K. Vicente & A. Kirlik, Human-Tech, (pp. 3-8). NY: Oxford University Press. Kirlik, A. (2011). The origins of human-tech. In K. Vicente & A. Kirlik, Human-Tech, (pp. 9-20). NY: Oxford University Press. Kirlik, A. (2011). A human-tech research agenda and approach. In K. Vicente & A. Kirlik, Human-Tech, (pp. 21-30). NY: Oxford University Press. Kirlik, A. (2011). Inventing possibilities: Understanding work systems and tasks. In K. Vicente & A. Kirlik, Human-Tech, (pp. 53-59). NY: Oxford University Press. Kirlik, A. (2011). Psychological distance: Manipulating an interface versus controlling a system. In K. Vicente & A. Kirlik, Human-Tech, (pp. 77-83). NY: Oxford University Press. Kirlik, A. (2011). Statistics for human-tech research. In K. Vicente & A. Kirlik, Human-Tech, (pp. 107-111). NY: Oxford University Press. Kirlik, A. (2011). Constructing the subject: Cognitive modeling. In K. Vicente & A. Kirlik, Human-Tech, (pp. 145-156). NY: Oxford University Press. Kirlik, A. (2011). Sociotechnical systems, risk, and error. In K. Vicente & A. Kirlik, Human-Tech, (pp. 191-195). NY: Oxford University Press. Kirlik, A. (2011). Nested systems: Economic, cultural and political dimensions. In K. Vicente & A. Kirlik, Human-Tech, (pp. 221-225). NY: Oxford University Press. Kirlik, A. and Storkerson, P. (2010). Naturalizing Peirces semiotics: Ecological psychologys solution to the problem of creative abduction. In L. Magnani (Ed.), Model-Based Reasoning in Science and Technology: Studies in Computational Intelligence, 314, pp. 31-50. Berlin: Springer-Verlag. Kirlik, A. (2007). Ecological resources for modeling interactive behavior and embedded cognition. In W. Gray (Ed.), Integrated Models of Cognitive Systems (pp. 194-210). New York: Oxford University Press. Byrne, M., Kirlik, A. & M. D. Fleetwood (2007) Closing the loop on computational models of interactive human performance models in aviation. In D. Foyle & B. Hooey (Eds.), Human Performance Models in Aviation (pp. 77-104). Boca Raton: CRC Press. Foyle, D.C., Hooey, B.L., Byrne, M.D., Kirlik, A., Lebiere, C., Archer, R., Corker, K., Deutsch, S., Pew, R. W., Wickens, C.D. & McCarley, J. (2007). Human performance modeling: A virtual roundtable discussion. . In D. Foyle & B. Hooey (Eds.), Human Performance Models in Aviation (pp. 285-320). Boca Raton: CRC Press. Sternberg, R. J., Birney, D., Jarvin, L., Kirlik, A., Stemler, S. & E. Grigorenko (2006). From Molehill to mountain: The process of scaling up educational interventions. In R. J. Sternberg & M. Constas (Eds.), Translating Educational Theory and Research into Practice (pp. 205-222). Mahwah, NJ: Erlbaum. Kirlik, A. (2006). Cognitive engineering: Toward a workable concept of mind. In A. Kirlik (Ed.), Adaptive Perspectives on Human-Technology Interaction (pp. 3-9_NY: Oxford University Press. Kirlik, A. (2006). Abstracting situated action: Implications for cognitive modeling and interface design. In A. Kirlik (Ed.), Adaptive Perspectives on Human-Technology Interaction (pp. 212-226). New York: Oxford University Press. Degani, A., Shafto & A. Kirlik (2006). What makes vicarious functioning work? Exploring the geometry of human-automation interaction. In A. Kirlik (Ed.), Adaptive Perspectives on Human-Technology Interaction (pp. 179-196). NY: Oxford University Press. Bisantz, A., Kirlik, A., Gay, P., Walker, N. & Fisk, A.D. (2006). Knowledge versus execution in dynamic judgment tasks. In A. Kirlik (Ed.), Adaptive Perspectives on Human-Technology Interaction (pp. 29-42). NY: Oxford University Press. Byrne, M. & A. Kirlik (2006). Kilograms matter: Computational cognitive modeling of closed loop dynamic decision making in system control. In A. Kirlik (Ed.), Adaptive Perspectives on Human-Technology Interaction (pp. 267-286) NY: Oxford University Press Horrey, W. J., Wickens, C. D., & Stewart, T. & A. Kirlik (2006). Supporting situation assessment through attention guidance and diagnostic aiding: Benefits, costs, and the impact of automation on judgment skill. In A. Kirlik (Ed.), Adaptive Perspectives on Human-Technology Interaction (pp. 55-70). NY: Oxford U. Press. Rothrock, L. & A. Kirlik (2006). A technique for inferring fast and frugal heuristics from behavioral data in dynamic, interactive judgment tasks. In A. Kirlik (Ed.), Adaptive Perspectives on Human-Technology Interaction (pp. 131-148). NY: Oxford University Press. Kirlik, A. (2005). Work in progress: Reinventing intelligence for an invented world. In R. J. Sternberg and D. Preiss (Eds.), Intelligence and Technology: Impact of Tools on the Nature and Development of Human. Skills (pp. 105-134). Mahwah, NJ: Erlbaum. Kirlik, A. and Strauss, R., (2001). Medical information uncertainty and the older patient: Implications for human factors and cognitive aging research. In W. Rogers and A.D. Fisk, (Eds.) Human Factors Interventions for the Health Care of Older Adults. Mahwah: NJ: Lawrence Erlbaum Associates. Kirlik, A. (2001). On Gibson's review of Brunswik. In K. R. Hammond and T. Stewart, (Eds.), The Essential Brunswik: Beginnings, Explications, and Applications. NY: Oxford University Press. Kirlik, A. (2001). Human factors. In K. R. Hammond and T. Stewart, (Eds.) The Essential Brunswik: Beginnings, Explications, and Applications, 238-242. NY: Oxford University Press, 2001. Kirlik, A., (1998). Everyday life environments. In W. Bechtel and G. Graham, (Eds.). A Companion to Cognitive Science, Oxford: Blackwell, 1998. Kirlik, A., Fisk, A.D., Walker, N. and Rothrock, L. (1998). Feedback augmentation and part-task practice in training dynamic decision making skills. In J. Cannon-Bowers and E. Salas, (Eds.), Decision Making Under Stress: Implications for Individual and Team Training Washington, DC: American Psychological Association Press. Kirlik, A., and Bisantz, A., (1998). Cognition in human-machine systems: Experiential and environmental aspects of adaptation. In P. Hancock, (Ed.), Handbook of Perception and Cognition: Human Performance and Ergonomics. San Diego, CA: Academic Press. Fisk, A.D., and Kirlik, A. (1996). Practical relevance and cognitive aging research: Can theory develop without application? In W. Rogers, A.D. Fisk, and N. Walker (Eds.), Aging and Skilled Performance: Advances in Theory and Application. Hillsdale, NJ: Erlbaum. Kirlik, A., (1995) Requirements for psychological models to support design: Toward ecological task analysis. In J. Flach, P. Hancock, J. Caird, and K. J. Vicente, (Eds.), Global Perspectives on the Ecology of Human-Machine Systems, Hillsdale, NJ: Erlbaum. Selected Articles in Journals Kirlik, A. (2018). Automation and adaptive behavior. Journal of Cognitive Engineering and Decision Making, Volume 12, Number 1, March 2018, pp. 7073. DOI: 10.1177/1555343417724963 Nam, M-Y., Choi, J. , Kirlik, Sha, L. & R. Berlin (2017). Supporting emergency medical care teams with an integrated status display providing real-time access to medical best practices, workflow tracking, and patient data. Journal of Medical Systems, December 2017, 41:186. Lin, J-H, Kirlik, A, & Xu, X. (2017). New technologies in human factors and ergonomics research and practice. Applied Ergonomics, 66, 179-181. Introduction to an edited (Lin, Kirlik, Xu) special journal issue with 19 peer-reviewed technical articles. Special Issue editors: Lin, Kirlik & Xu. Ackerman, K., Talleur, D., Carbonari, R., Xargay, X., Seefeldt, B,, Kirlik, A., Hovakimyan, N, and Trujillo, A, (2017). Aviation situation awareness display for a flight envelope protection system. Journal of Guidance, Control and Dynamics (E-Version printed: DOI: 10.2514/1.G000338). Marinho, T, Widdowson, C,, Oetting, A, Lakshmananm, A., Cui, H., Hovakimyan, N., Wang, F., Kirlik, A., Laviers, A., and Stipanovic (2016). Carebots: Prolonged elderly independence using small mobile robots. Mechanical Engineering, September, 2016. Hettinger, L. J., Kirlik, A., Goh, Y. M. & Buckle, P. (2015). Modelling and simulation of complex sociotechnical systems: Envisioning and analysing work environments. Ergonomics, 58, (4), 600-614. Miller, S., Bailey, B. & A. Kirlik (2014). Exploring the utility of Bayesian truth serum for assessing design knowledge. Human-Computer Interaction, 29(5-6), 487-515. Fraccone, G.C., Valenzuela-Vega, R., Siddique, S., Volovoi, V. & A. Kirlik (2013). Nested modeling of hazards associated with off-nominal scenarios in the national airspace system. Journal of Aircraft, 50(2), March-April. Kirlik, A. (2012). Relevance versus generalization in cognitive engineering. (Invited) Cognition, Technology and Work, 14(3), 213-220. Kirlik, A. (2010). Editorial: Brunswikian theory and method as a foundation for simulation-based research on clinical judgment. (Invited). Simulation in Healthcare, 5(5). 255-259. Kirlik, A. (2009). Brunswikian resources for event perception research. Perception, Vol. 38, 376-398. Weiss, D.J., Brennan, K., Thomas, R., Kirlik, A., and Miller, S.M. (2009). Criteria for performance evaluation. Judgment and Decision Making, 4(2), 164-174). Araujo, D. & Kirlik, A. (2008). Toward an ecological approach to visual anticipation in sport. International Journal of Sport Psychology, Vol. 39(2), 122-140. Kirlik, A. & Strauss, R. (2006). Situation awareness as judgment I: Theoretical framework, modeling, and quantitative measurement. International Journal of Industrial Ergonomics. Special Issue on New Insights in Human Performance and Decision Making, 36, 463-474. Strauss, R. & Kirlik, A. (2006). Situation awareness as judgment II: Experimental evaluation and demonstration. International Journal of Industrial Ergonomics: Special Issue on New Insights in Human Performance and Decision Making. 36, 475-484. Byrne, M. & Kirlik, A. (2005). Using computational cognitive modeling to diagnose possible sources of aviation error. International Journal of Aviation Psychology, 15(2), 135-155. Kirlik, A. (2004). Stoffregen's analysis of affordances. Ecological Psychology, 16(1), 73-77. Kirlik, A. & Maruyama, S. (2004). Human-technology interaction and music perception and performance: Toward the robust design of sociotechnical systems. Proceedings of the IEEE, Vol. 92, No. 4, 616-632. Kirlik, A. (2003). Human factors distributes its workload. Review of E. Salas (Ed.), "Advances in Human Performance and Cognitive Engineering Research." Contemporary Psychology, Vol. 48, No. 6. Rothrock, L. & A. Kirlik (2003). Inferring rule-based strategies in dynamic judgment tasks. IEEE Transactions on Systems, Man, and Cybernetics: Part A: Systems and Humans, 33(1) 58-72. Kirlik, A. (2003). Charting a midcourse between neuroscience and cognitive science. Review of J.E.R. Staddon's, "Adaptive Dynamics: The Theoretical Analysis of Behavior." Contemporary Psychology, 48(3), 382-384. Cianciolo, A. & Kirlik, A. (2003). A multi-level, differential perspective on human performance. Review of "Human Performance: Cognition, Stress, and Individual Differences" by G. Matthews, R.D. Davies, S.J. Westerman, & R. B. Stammers. Contemporary Psychology, 48(2), 221-223. Kirlik, A. (2001). Life without Bayes: Judgment and decision making in Sweden (review of Juslin and Montgomery: Judgment and Decision Making: Neo-Brunswikian and Process Tracing Approaches). Applied Cognitive Psychology. Bisantz, A., and Kirlik, A., (2000). Adaptivity and rule verification: An empirical investigation. International Journal of Cognitive Ergonomics, 4(1), 1-18. Bisantz, A., Kirlik, A., Gay, P., Phipps, D., Walker, N., and Fisk, A.D., (2000). Modeling and analysis of a dynamic judgment task using a lens model approach. IEEE Transactions on Systems, Man, and Cybernetics, Vol. 30, 6, 605-616. Degani, A., Shafto, M. and Kirlik, A. (1999). Modes in human-machine systems: Review, classification, and application. International Journal of Aviation Psychology, Vol. 9, No. 2. Kirlik, A., Rediscovering Turing's brain. (1997). Commentary on Ballard. Behavioral and Brain Sciences, Vol. 20, No. 4. Kirlik, A., Walker, N. and Fisk, A.D., (1996). Supporting perception in the service of dynamic decision making. Human Factors, Vol. 38, No. 2. Kirlik, A., (1993). Modeling strategic behavior in human-automation interaction: Why an "aid" can (and should) go unused. Human Factors, Vol. 34, No. 2. Kirlik, A., Miller, R.A., and Jagacinski, R.J., (1993). Supervisory control in a dynamic uncertain environment: A process model of skilled human-environment interaction. IEEE Transactions on Systems, Man, and Cybernetics, Vol. 23(4). Kirlik, A., Jagacinski, R.J., Miller, R.A., Plamondon, IT, and Lytton, L., (1993). Supervisory control in a dynamic uncertain environment: Comparisons of one and two-person crews. IEEE Transactions on Systems, Man, and Cybernetics, Vol. 23(4), 1993. Vicente, K. and Kirlik, A., Putting the cart before the horse: Taking perception seriously in unified theories of cognition. Commentary on Newell. Behavioral and Brain Sciences, Vol. 15, No. 3, 1992. Articles in Conference Proceedings Deloatch, R., Bailey, B., Kirlik, A. and Zilles (2017). I Need Your Encouragement! Requesting Supportive Comments on Social Media Reduces Test Anxiety. ACM CHI'17, May 6-11, 2017, Denver, CO. Deloatch, R., Bailey, B. & A. Kirlik (2016). Measuring Effects of Modality on Perceived Test Anxiety for Computer Programming Exams. Proceedings of the 47th ACM Technical Symposium on Computing Science Education. Memphis, TN, USA. Eslami, M., Karahalios, K., Sandvig, C., Vaccaro, K., Rickman, A. & Kirlik, A. (2016). First I "like" it, then I hide it: Folk Theories of Social Feeds. ACM CHI16, May 07 - 12, 2016, San Jose, CA, USA Kirlik, A., Ackerman, K., Seefeldt, B., Xargay, E., Talleur, D., Carbonari, R., Hovakimyan, N. and Sha, L. (2015). Inverting the human/automation equation to support situation awareness and prevent loss of control. Proceedings of the 2015 International Symposium on Aviation Psychology. Dayton, OH. Ackerman, K. A., S. T. Pelech, R. S. Carbonari, N. Hovakimyan, and A. Kirlik (2014). Pilot-in-the-loop flight simulator for NASAs Transport Class Model. In Proceedings of the AIAA Guidance, Navigation and Control Conference, National Harbor, MD. Chongvisal, J., N. Tekles, E. Xargay, D. A. Talleur, A. Kirlik, and N. Hovakimyan (2014). Loss-of-control prediction and prevention for NASAs Transport Class Model. In Proceedings of the AIAA Guidance, Navigation and Control Conference, National Harbor, MD. Deloatch, R., Marmarchi, A. & Kirlik A. (2013). Testing conditions for acquiring intuitive expertise in judgment: Evidence from a study of NCAA basketball tournament predictions. To appear in the Proceedings of the 2013 Human Factors and Ergonomics Society Annual Meeting. Santa Monica: CA. Moehlenbrink, C., Manske, P. & A. Kirlik (2012). An analysis of ground traffic control decision support system based on the 3-step principle of heuristic decision making. Proc. Human Factors and Ergonomics Scciety Europe Chapter Conference. Toulouse, France. Tsai, J. and Kirlik, A. (2012). Coherence and correspondence competence: Implications for the elicitation and aggregation of probabilistic forecasts of world events. Proceedings of the 2012 Human Factors and Ergonomics Society Annual Meeting. Santa Monica, CA. Riddle, K., Kirlik, A., Talleur, D. and Carbonari, R. (2012). A comparison of visualization and command-based decision aiding in a simulated aircraft departure sequencing and timing task. Proceedings of the 2012 Human Factors and Ergonomics Society Annual Meeting. Santa Monica, CA. Miller, S., Bailey, B.P., and Kirlik, A. (2012). Toward the development of an objective assessment technique for use in engineering design education. Proceedings of the 119th Annual American Society for Engineering Education (ASEE) Conference. San Antonio, TX. Tsai, J., Miller, S. and Kirlik, A. (2011). Interactive visualizations to improve Bayesian reasoning. Proceedings of the 2011 Human Factors and Ergonomics Society Annual Meeting. Santa Monica, CA. Miller, S., Kirlik, A. & Hendren, N. (2011). Applying knowledge and confidence information to predict achievement in forecasting. Proceedings of the 2011 Human Factors and Ergonomics Society Annual Meeting. Santa Monica, CA. Tsai, J., Kirlik, A., Kosorukoff, A., Miller, S. (2008) Rule and instance based strategies in expert judgment. Proceedings of the 52nd Annual Meeting of the Human Factors and Ergonomics Society. Santa Monica, CA: Human Factors and Ergonomics Society. Miller, S., Kirlik, A., Kosorukoff, A., Tsai, J. (2008) Supporting joint human-computer judgment under uncertainty. Proceedings of the 52nd Annual Meeting of the Human Factors and Ergonomics Society. Santa Monica, CA: Human Factors and Ergonomics Society. Byrne, M. D., Kirlik, A., Allard, T., Foyle, D. C., Hooey, B. L., Gluck, K. A., Wickens, C. D., Pritchett, A. R. (2008) Issues and challenges in human performance modeling in aviation: Goals, advances, and gaps. Proceedings of the 52nd Annual Fleeting of the Human Factors and Ergonomics Society. Santa Monica, CA: Human Factors and Ergonomics Society. Kirlik, A. (2007) Lessons learned from the design of the decision support system used in the hurricane Katrina evacuation decision. Proceedings of the 51st Annual Meeting of the Human Factors and Ergonomics Society. Santa Monica, CA: Human Factors and Ergonomics Society. Kirlik, A., Bisantz, A., Burns, C., Cooke, N. J., Guerlain, S., Lee, J. D., Sarter, N., Serfaty, D. (2007) Design specifications for a cognitive engineering textbook. Proceedings of the 51st Annual Meeting of the Human Factors and Ergonomics Society. Santa Monica, CA: Human Factors and Ergonomics Society. Kirlik, A. (2007) Conceptual and technical issues in extending computational cognitive modeling to aviation. Proceedings of Human-Computer Interaction International 2007, Beijing, China. Carlson, R., Gray, W. D., Kirlik, A., Kirsh, D., Payne, S. J., Neth, H. (2007) Immediate interactive behavior: How embodied and embedded cognition uses and changes the world to achieve its goals. Proceedings of the Cognitive Science Society 2007 Annual Meeting, Nashville, TN. Miller, S. & Kirlik, A. (2006). Rational analysis and the lens model. Proceedings of the Human Factors Society 2006 Meeting, San Francisco, CA. Nunes, A., Kirlik, A. (2005) An empirical study of calibration in air traffic control expert judgment. Proceedings of the 49th Annual Meeting of the Human Factors and Ergonomics Society (pp. 422-426). Santa Monica, CA: Human Factors and Ergonomics Society. Byrne, M. D., Kirlik, A., Fleetwood, M. D., Huss, D. G., Kosorukoff, A., Lin, R. S., Fick, C.S. (2004) A closed-loop, ACT-R approach to modeling approach and landing with and without synthetic vision system (SVS) technology. Proceedings of the 48th Annual Meeting of the Human Factors and Ergonomics Society. Santa Monica, CA: Human Factors and Ergonomics Society. Rothrock, L. & A. Kirlik (2003). Explorations in modeling human decision making in dynamic contexts. Proceedings of HCI International 2003, Crete, Greece. Kirlik, A. "Conducting generalizable research in the age of the field study." IEA/HFES 2000. San Diego, CA, 2000. Strauss, R. and Kirlik, A. "Measuring the judgmental components of situation awareness." IEAIHFES 2000. San Diego, CA, 2000. Kirlik, A. (1999). "Ecological modeling of human-machine interaction." Proceedings of the 1999 IEEE International Conference on Systems, Man, and Cybernetics, Tokyo, Japan. Bisantz, A.M. and Kirlik, A., "Investigating the effect of problem format and task-related experience on evidential reasoning. " Proceedings of the Symposium on Human Interaction with Complex Systems. Dayton, OH, 1988. Degani, A., and Kirlik, A., "Describing the design contributors to mode error. Proceedings of the Symposium on Human Interaction with Complex Systems. Dayton, OH, 1998. Kirlik, A., (1988). The ecological expert: Acting to create information to guide action. Proceedings of the Fourth Symposium on Human Interaction with Complex Systems (HICS-98). Dayton, OH: IEEE Computer Society Press. Turns, J.A and Kirlik, A. "Structural assessment to support engineering education." Proceedings of the 1998 American Society of Engineering Educators Conference, Seattle, WA, 1998. Bisantz, A.M. Gay, P., Phipps, D., Walker, N., Kirlik, A., and Fisk, A.D. "Specifying training needs in a dynamic judgment task using a Lens Model approach." Proceedings of the 1997 IEEE Conference on Systems, Man, and Cybernetics. 1997. Shafto, M., Degani, A. And Kirlik, A., "Canonical correlation analysis of data on human-automation interaction. Proceedings of the Human Factors and Ergonomic Society Annual Meeting. Santa Monica, CA: 1997. Degani, A., and Kirlik, A. "Modeling human interaction with semi-automated control systems to identify interface design problems." Proceedings of the International Symposium on Artificial Intelligence, Robotics, and Human Activity Support for Nuclear Applications. Wako-Shi, Saitama, Japan, 1997. Gay, P., Phipps, D., Bisantz, A.M., Walker, N., Kirlik, A., and Fisk, A.D. "Operator specific modeling of identification judgments in a complex dynamic task." Proceedings of the Human Factors and Ergonomic Society Annual Meeting. Santa Monica, CA: 1997. Kirlik, A., Rothrock, L., Walker, N. And Fisk, A.D., "Simple strategies or simple tasks? Dynamic decision making in "complex" worlds." Proceedings of the Human Factors and Ergonomics Society 40th Annual Meeting. Santa Monica, CA, 1996. Walker, N., Fisk, A.D., .Phipps, D., Kirlik, A., "Training perceptual-rule-based skills." Proceedings of the Human Factors and Ergonomics Society, Santa Monica, 1995. Kirlik, A., "The design of perceptually augmented displays to support interaction with dynamic systems," Proceedings of the 1995 IFAC Conference on Man-Machine Systems, Cambridge, MA, 1995. Degani, A., Shafto, M. and Kirlik, A., "Modes in human-automation interaction," Proceedings of the 1995 IFAC Conference on Man-Machine Systems, Cambridge, MA, 1995. Degani, A., Shafto, M., and Kirlik, A., "A modeling framework for human interaction with modal systems." Proceedings of the 1995 IEEE International Conference on. Systems, Man, and Cybernetics, Vancouver, CA, 1995. Kirlik, A. "Perceptual augmentation to support skilled interaction," Proceedings of the 1993 IEEE International Conference on Systems, Man, and Cybernetics, Le Touquet, France, 1993. Kirlik, A. "Requirements for design-relevant psychological models," Proceedings of the 1992 IEEE International Conference on Systems, Man., and Cybernetics, Chicago, IL, 1992. Kirlik, A. and Rothrock, L., "Constraints on neural net modeling to support display design for skilled decision-making," Proceedings of the Second Workshop on Neural Networks: Academic/Industrial /NASA/Defense, Auburn, Alabama, 1991. Kirlik, A., Markert, W.J., and Shively, R.J. "Perceptual and contextual influences on dynamic decision-making performance," Proceedings of the 1990 IEEE International Conference on Systems, Man, and Cybernetics, Los Angeles, CA, 1990. Kirlik, A., Miller, R.A., and Jagacinski, R.J. "A process model of skilled human performance in a dynamic uncertain environment," Proceedings of the 1989 IEEE Int'l Conference on Systems, Man, and Cybernetics, Cambridge, MA, 1989. Kirlik, A., Miller, R.A. and Jagacinski, R.J. "Route Planning as a Perceptual Task," Proceedings of the Twenty-Third Annual Conference on Manual Control, Cambridge, NIA, 1988. Miller, R.A., Jagacinski, R.J., Plamondon, B.D., Lytton, L.E., and Kirlik, A., "A Comparison of One-and-Two-Person Crew Performance in a Supervisory Control Task," Proceedings of the Fourth Symposium on Aviation Psychology, Columbus, OH, 1987. Kirlik, A., Miller, R.A., and Jagacinski, R.J. "A study of the effects of display aiding in a task with random components," Proceedings of the 1986 IEEE International Conference on Systems, Man, and Cybernetics, Atlanta, GA 1986. Miller, R.A., Plamondon, B.D., Jagacinski, R.J. and Kirlik, A. "Investigation of Crew Performance in a Multi-Vehicle Supervisory Control Task," Proceedings of the Twenty-First Annual Conference on Manual Control, Columbus, OH, 1986. Invited Lectures Kirlik, A. Kenneth Hammond: Ecological Psychologist. Invited lecture in honor of the occasion of the 100th anniversary of Kenneth Hammond's birth. Twenty-fifth Annual Meeting of the Brunswik Society, Vancouver, CA, November, 2017. Kirlik, A. Effective Car Interfaces from Safety and Design Perspectives. CAR HMI Meeting, Berlin, Germany, June, 2017. KIrlik, A. Panel Presentation: Transitioning Aviation Research into Practice. International Symposium on Aviation Psychology, Dayton, OH, May, 2017. Kirlik, A. Using Intelligent Vehicle Automation to Drive Interfaces as Well as Cars. CAR HMI Meeting, Dearborn, MI, April, 2017. Kirlik, A. Designing safe and effective cyber-physical-human systems. Coalition for National Science Funding (CNSF), Capitol Hill, Washington, DC, 2016. Kirlik, A. Two NextGen aviation research and implementation projects: A novel design for human-centered cockput automation, and novel schemes for air-ground coordination in continuous descent approach operations at LAX. TU Dresden Human Factors Group. Dresden, Germany, November, 2014. Kirlik, A. Cognitive engineering: The analysis and design of sociotechnical systems. TU Berlin Human Factors Group. Berlin, Germany, November, 2014. Kirlik, A. Two NextGen aviation research and implementation projects: A novel design for human-centered cockput automation, and novel schemes for air-ground coordination in continuous descent approach operations at LAX. DLR (German Aerospace Center) Human Factors Group. Braunschweig, Germany, November, 2014. Kirlik, A. A multidisciplinary perspective on measuring safety and efficiency in human-automation interaction. NASA and University of Central Florida Workshop on Developing Best Practices for Measuring Safety and Efficiency in Human-Automation Systems. Chicago, IL, October, 2014. Kirlik, A. The key role of perceived performance incentives in shaping strategic cognition and behavior. Georgia Tech Conference on Strategies in Human-Technical Systems. Atlanta, GA, April, 2014. Kirlik, A. Supporting situation awareness in disaster preparation and response. Transportation Research Board, Washington DC, January, 2014. Kirlik, A. Cognitive Engineering: Human factors as human-centered system design and evaluation. Department of Industrial Engineering, Tsinghua University, Beijing, China, December, 2013. Kirlik, A. Cognitive Engineering: Human factors as human-centered system design and evaluation. China Astronaut Research and Training Center, Beijing, China, December, 2013. Kirlik, A. Cognitive Engineering: Human factors as human-centered system design and evaluation. Chinese Academy of Sciences, Beijing, China, December, 2013. Kirlik, A. Predictive visual analytics. Keynote, New England Chapter of the Human Factors and Ergonomics Society Conference, Cambridge, MA, April, 2013. Kirlik, A. A cognitive engineering approach to the design of interactive systems. Draper Laboratory, Cambridge, MA, April, 2013. Kirlik, A. Making better predictions: Especially of the future. Department of Industrial & Systems Engineering, SUNY Buffalo, March, 2013. Kirlik, A. Interactive visualizations to support prediction. Department of Cognitive Science, Renssalaer Polytechnic Institute, Troy, NY, February, 2013. Kirlik, A. Making better predictions. Charles River Analytics, Cambridge, MA, December, 2012. Kirlik, A. The emerging toolbox of cognitive engineering models. Keynote, International Conference on Cognitive Modeling. Berlin, Germany, March, 2012. Kirlik, A. Using interactive visualizations to support human reasoning under uncertainty. Distinguished Speaker, Faculty of Applied Science and Engineering, University of Toronto, November, 2011. Kirlik, A. Human-automation interaction in aerospace systems. P.R. China Astronaut Research and Training Center and National University of Defense Technology Aero-Astro Summer School, Changsha, China, July, 2011. Kirlik, A. Beyond usability: Ethical design. Keynote, "Mensch and Computer" Conference (Human-Computer Interaction), Humboldt University, Berlin, Germany, 2009. Kirlik, A. Acting thoughtfully, thinking reflectively: Model based cognition and expertise. Keynote, 2009 Model-Based Cognition Conference, Campanas, Brazil. Kirlik, A. Nudges and affordances: Can ecological psychology learn from behavioral economics? Invited Symposium on "Affordances: 25 Years Later." 15th International Conference on Perception and Action, Minneapolis, MN, 2009. Kirlik, A. Supporting joint human-computer judgment under uncertainty. Department of Mechanical & Industrial Engineering, University of Iowa, 2008. Kirlik, A. Comments on paper by Kenneth R. Hammond. Brunswik Society Meeting, Chicago, IL, 2008. Kirlik, A. The NASA human performance modeling project. The Human Factors of NextGen conference, Arlington, TX, 2008. Kirlik, A. Brunswik's cues at 50: Ecological psychology reinvents (not rediscovers) probabilistic functionalism. Brunswik Society Meeting, Chicago, IL, 2008. Kirlik, A. Vicarious functioning implies representative design. Original Brunswik Meeting, Landau, Germany, 2008. Kirlik, A. Collisions and other encounters. Conference to celebrate the 20th anniversary of the Center for the Ecological Study of Perception and Action, Department of Psychology, University of Connecticut, Storrs, CT, 2008. Kirlik, A. On MT, for M.T. A Natural-Physical Perspective on Perception-Action-Cognition, Department of Psychology, University of Connecticut, Storrs, CT, 2008. Kirlik, A. Expertise: Insights from Brunswik and Darwin. Department of Psychology, Wright State University, Dayton, OH, 2008. Kirlik, A. The hurricane Katrina evacuation decision: A case study of meta-information portrayal. 2nd Annual Workshop on Meta-Information Portrayal, Washington, DC, 2007. Kirlik, A. Expertise: Insights from Brunswik and Darwin. Department of Psychology, Wright State University, Dayton, OH, 2008. Kirlik, A. The hurricane Katrina evacuation decision: A case study of meta-information portrayal. 2nd Annual Workshop on Meta-Information Portrayal, Washington, DC, 2007. Kirlik, A. A multidimensional measure of expertise when a gold standard is lacking. Psychonomics and Brunswik Societies, 2006. Kirlik, A. Cognitive Engineering. IBM TJ Watson Research Center, 2006. Kirlik, A. Modeling cognition, eye, hand and technology as a Closed-Loop. College of Arts & Sciences, Illinois Wesleyan University, 2006. Kirlik, A. Generalization and representative design. Lecture in honor of the retirement of Prof. Marv Dainoff. Department of Psychology, Miami University, Oxford, OH, 2005. Kirlik, A. Modeling cognition, eye, hand and technology as a Closed-Loop. College of Arts & Sciences, Illinois Wesleyan University, 2006. Kirlik, A. Generalization and representative design. Lecture in honor of the retirement of Prof. Marv Dainoff. Department of Psychology, Miami University, Oxford, OH, 2005. Kirlik, A. Keynote: Closing the loop on cognitive models. Symposium on Integrated Models of Cognitive Systems. (Wayne Gray, Org.). Saratoga Springs, NY, 2005. Kirlik, A. A University-Industry research collaboration on the human factors of Emerson's "DeltaV" digital automation for process plant control. Emerson Exchange Users Group Meeting, Dallas, TX, 2004. Kirlik, A. Timely and accurate decisions. Invited panel presentation on the topic of "Time Design" at the 2004 Meeting of the Human Factors & Ergonomics Society, September, 2004. Kirlik, A. Alphonse Chapanis, Egon Brunswik, and representative design in human factors. Invited panel presentation on the topic of "The Lens Model in Human Factors Research" at the 2004 Meeting of the Human Factors & Ergonomics Society, 2004. Kirlik, A., Cognitive tools and augmented minds: The good, the bad, and the inevitable. Keynote address given at the 2004 Paul D. Scholz Symposium on Technology and Society. College of Engineering, University of Iowa, 2004. Kirlik, A., Functional modeling of human-technology interaction. Lecture in honor of the retirement of Prof. Allen Miller, Department Chair, Industrial & Systems Engineering, the Ohio State University. 2004. Kirlik, A., Success stories in cognitive engineering: Five projects. Cognitive Systems Engineering Consortium (CSEC), Dayton Ohio, 2004. Kirlik, A. Closing the loop on models of cognitively-mediated interaction. Symposium on Psychology, Systems Dynamics Society Annual Conference, NY, 2003. Kirlik, A. & Byrne, M., Closed-loop, dynamic modeling of pilot cognition with and without synthetic vision displays. NASA Workshop on Cognitive Modeling for Aviation Safety, System-Wide Accident Prevention Program, NASA Ames Research Center, Moffett Field, CA, March 2003. Kirlik, A., The "Real world" fallacy in psychological research: Origin and alternative. Illinois State University Department of Psychology, Bloomington, IL: 2003. Kirlik, A., Ecological modeling of judgment under uncertainty. Cognitive Science Program, Illinois State University, Bloomington, IL, 2003. Kirlik, A., Modeling taxi errors in the tangled web of Chicago O'Hare. Brunswik Society Meeting, Kansas City, MO, November, 2002. Kirlik, A., The law of the excluded middle in human-automation interaction. Panel presentation on "Training challenges for automating human cognitive processes," Human Factors & Ergonomics Society 2002 Annual Meeting, 2002. Kirlik, A., Comments on Harry Heft's Ecological Psychology in Context. The 2002 North American Meeting of the International Society for Ecological Psychology, Miami, OH, 2002. Kirlik, A., The multiplicity of the fundamental in psychological science. Haskins Laboratories, Yale University, New Haven, CT, 2002. Kirlik, A., Understanding and supporting cognition in technological work environments. Industrial/Organizational Psychology Program, University of Connecticut, 2002. Kirlik, A., Meta-Adaptivity as a new challenge and opportunity for human factors. Department of Industrial Engineering, University of Buffalo, 2002. Kirlik, A., Deconstructing Fitts Law. Perception-Action Workshop, Center for the Ecological Study of Perception and Action, University of Connecticut, 2002. Kirlik, A., The designed environment: theory and application. Department of Psychology, University of Connecticut, 2002. Kirlik, A., Ecological validity, representative design, and the real world. Department of Psychology, Yale University, February, 2002. Kirlik, A., Control, Coordination, and Improvisation in Engineering and Music. Workshop on Human Supervision and Control in Engineering and Music, Kassel, Germany, September 2001. Kirlik, A., Conducting generalizable research in the age of the field study. Human Factors & Ergonomics Society Annual Meeting. Symposium on the Ecological Approach to Human Factors, San Diego, CA, Sept. 2000. Kirlik, A., Information technology and the new Taylorism. Society for Work Science Annual Meeting, Marietta, GA, October 2000. Kirlik, A., An ecological approach to modeling interactive behavior in dynamic tasks. Beckman Institute, Department of Psychology, and Institute of Aviation, University of Illinois. October, 2000. Kirlik, A., A distributed systems view of cognition: History and future prospects. Japanese Society for the Promotion of Science, Workshop on Symbiosis on Humans, Artifacts, and the Environment. Kyoto, Japan, October 1999. Kirlik, A. Ecological modeling of human-machine interaction. Invited by Organizing Committee, IEEE International Conference on Systems, Man, and Cybernetics, Tokyo, Japan, 1999. Kirlik, A., What distinguishes difficult from easy tasks? Fifteenth Annual Meeting of the Brunswik Society, University of Colorado, Boulder, CO, July, 1999. Kirlik, A. The cognition of normative behavior. Department of Cognitive Science, University of California, San Diego, and U. San Diego Law School. La Jolla, CA, February, 1998. Kirlik, A., Analytical versus intuitive cognition in decision making. National Science Foundation Workshop on Decision Based Design. Atlanta, GA, September, 1998. Kirlik, A., An ecological perspective on situated action. Department of Cognitive Science, University of California, San Diego, La Jolla, CA, April, 1997. Kirlik, A., Describing the environmental contributors to mode error. International Symposium on Artificial Intelligence, Robotics, and Human Activity Support for Nuclear Applications. Wako-Shi, Saitama, Japan. November, 1997. Kirlik, A., Modeling mode-based interactions. Japanese Atomic Energy Research Institute, Mito, Japan, 1997. Kirlik, A., Expert versus novice, ecologically speaking: From expert knowledge to expert activity. The Human-Computer Interaction Consortium. Winter Park, CO, February, 1996. Kirlik, A., Some constraints on an ecological theory of strategic action. The Eighth International Conference on Perception and Action, International Society for Ecological Psychology, Marseille, France, July, 1995. Kirlik, A., Epistemic action: Or, why the world does not look at all simple to this Brunswikian. Eleventh Annual Meeting of the Brunswik Society, Los Angeles, CA, November, 1995. Kirlik, A., Environmental Contributions to Skilled Performance in Dynamic Interaction. Invited Address Presented at the NASA Ames Workshop on Cognitive Modeling in Aviation, February, 1994. Kirlik, A., Ecological Task Analysis: Display Design to Support Skilled Interaction. Presentation to Tri-State and Central Ohio Chapters of the Human Factors and Ergonomics Society, June, 1994. Kirlik, A . & Fisk, A.D. "Training Dynamic Decision-Making Skills. Presented at the 1993 American Psychological Association Annual Meeting, Toronto, Canada, 1993. Kirlik, A., Toward a Brunskwian Theory of Action. Presented at the 1993 Annual Meeting of the Brunswik Society, Washington, DC, 1993. Kirlik, A., Decision-Making in the EMS Helicopter Environment. Helicopter International Meeting, Miami, FL, January, 1993. Kirlik, A., Decision-Making Models. Society for Technology in Anesthesia Annual Meeting, New Orleans, LA, February, 1993. Kirlik, A., Cognitive Demands in Skilled Interaction. Presented at the NASA Ames A3I Offsite Program Review Meeting, Bodega Bay, CA, January, 1993. Kirlik, A., Describing the Environment for Complex Skills: Dynamic Affordance Distributions and their Specifying Information. Presented to the Emory University Department of Psychology, February 1992. Kirlik, A., Introduction to Cognitive Engineering. Presented to the IBM SHARE Users Group, Atlanta, GA, August, 1992. Kirlik, A. Markov Decision Process Modeling of Strategic Behavior. ORSA/TIMS Meeting, Orlando, FL, 1992. Kirlik, A., Ecological Task Analysis: What Every Good Designer Already Knows. Invited presentation to University of Toronto Human Factors Chapter. October, 1992. Kirlik, A. Dynamic Affordance Distributions. Presented to the 1991 Meeting of The International Society for Ecological Psychology, Urbana, IL, June 1991. Kirlik, A., An Interactive Optimization Method for Cockpit Display Layout Analysis. Presented to the NASA Ames Research Center Army Aircraft-Aircrew Integration Program, July, 1989. Kirlik, A., A Process Model of Supervisory/ Manual Control Behavior: Toward a Perceptual View of Skilled Decision-Making. Presented to the NASA Ames Research Center Rotorcraft Human Factors Branch, July, 1989. Kirlik, A., The Acquisition and Production of Skill in Dynamic Decision-Making Tasks. Presented to the NASA-ASEE Stanford Summer Faculty Fellowship Program 1989. . . diff --git a/src/data/compiled_bios/470.txt b/src/data/compiled_bios/470.txt new file mode 100644 index 0000000000..bad6518264 --- /dev/null +++ b/src/data/compiled_bios/470.txt @@ -0,0 +1 @@ +\r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r Publications | \r Teaching | \r Research\r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r \r Haryadi S. Gunawi\r \r Associate Professor [as of July 2019]\r \r Email: [first-name] @ cs.uchicago.edu\r \r JCL 347\r \r 5730 S. 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Try it and contact Huaicheng Li.\r \r \r Busy PC services this year!\r Old news\r \r diff --git a/src/data/compiled_bios/4700.txt b/src/data/compiled_bios/4700.txt new file mode 100644 index 0000000000..51327bfee1 --- /dev/null +++ b/src/data/compiled_bios/4700.txt @@ -0,0 +1 @@ + Skip to main content About Us ABOUT Brochure Fact Sheets History Honors and Awards Org Charts ORGANIZATION Directorates Divisions Leadership Team CAREERS Job Openings Working at ORNL Diversity Students and Recent Graduates Fellowships VISIT ORNL Interactive Map Getting to ORNL Getting Around ORNL Airport Information Regional Information Before You Arrive RESEARCH Hubs, Centers, and Institutes ORNL Programs Areas of Science Research Library COMMUNITY OUTREACH Corporate Giving Matching Gifts Fund Team UT-Battelle User Facilities ___ Building Technologies Research and Integration Center Carbon Fiber Technology Center Oak Ridge Leadership Computing Facility ___ Spallation Neutron Source High Flux Isotope Reactor Manufacturing Demonstration Facility ___ Center for Nanophase Material Sciences Center for Structural Molecular Biology National Transportation Research Center Science and Discovery ___ Advanced Materials Clean Energy National Security ___ Neutron Science Nuclear Science Supercomputing ___ Exascale Computing Project Hubs, Centers, and Institutes US ITER News Our People ___ Contact Us Media Contacts ___ Directorate Contacts Division Contacts ___ User Facility Contacts Experts List Careers About Us ABOUT Brochure Fact Sheets History Honors and Awards Org Charts ORGANIZATIONS Directorates Divisions Leadership Team CAREERS Job Openings Working at ORNL Diversity VISIT ORNL Interactive Map Getting to ORNL Getting Around ORNL Airport Information Regional Information Before You Arrive RESEARCH Hubs, Centers, and Institutes ORNL Programs Research Library COMMUNITY OUTREACH Corporate Giving Matching Gifts Fund Team UT-Battelle User Facilities Building Technologies Research and Integration Center Carbon Fiber Technology Center Oak Ridge Leadership Computing Facility Spallation Neutron Source High Flux Isotope Reactor Manufacturing Demonstration Facility Center for Nanophase Material Sciences Center for Structural Molecular Biology National Transportation Research Center Science and Discovery Advanced Materials Clean Energy National Security Neutron Science Nuclear Science Supercomputing Exascale Computing Project Hubs, Centers, and Institutes US ITER News Our People Contact Us Media Contacts Directorate Contacts Division Contacts User Facility Contacts Experts List Careers Contact Information zachariat@ornl.gov 865.576.2900 orcid.org/0000-0001-6463-5425 Thomas Zacharia Director, Oak Ridge National Laboratory Publications Ultra-scale Computing for Emergency Evacuation Cray X1 Evaluation Status Report view all Oak Ridge National Laboratory is managed by UT-Battelle for the US Department of Energy Footer First Row USER FACILITIES Building Technologies Research and Integration Center Carbon Fiber Technology Center Center for Nanophase Material Sciences Center for Structural Molecular Biology High Flux Isotope Reactor Manufacturing Demonstration Facility National Transportation Research Center Oak Ridge Leadership Computing Facility Spallation Neutron Source SCIENCE & DISCOVERY Advanced Materials Clean Energy National Security Neutron Science Nuclear Science Supercomputing US ITER Hubs, Centers, and Institutes ABOUT US Brochure Fact Sheets Leadership Team Diversity History Lab-Directed R&D Environmental Policy Footer Second Row FOR THE PUBLIC News Community Outreach Educational Programs Corporate Giving History Careers Visit ORNL Contact Us FOR RESEARCHERS User Facilities Research Library Science and Discovery Lab-Directed R&D Careers Visit ORNL Contact Us FOR ACADEMIA Educational Programs Science and Discovery Research Library User Facilities Careers News Visit ORNL Contact Us FOR INDUSTRY Work with ORNL Economic Development Procurement Small Business Programs Careers Visit ORNL Contact Us Contact Us Site Links FAQs People User Facilities Internal Users Privacy Accessibility/508 Nondiscrimination/1557 Index Contact Us diff --git a/src/data/compiled_bios/4701.txt b/src/data/compiled_bios/4701.txt new file mode 100644 index 0000000000..f5184d2c60 --- /dev/null +++ b/src/data/compiled_bios/4701.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. Itamar Arel Associate Professor Contact Information Email: itamar@utk.edu Web: EECS Mailing Address: 608 Min H. Kao Building 1520 Middle Drive Knoxville, TN 37996-2250 Office Phone: 865-974-3891 Office Fax: 865-974-5483 Areas of Interest Machine Learning Artificial Intelligence High Performance Custom Computing Education Ph.D. degrees in Electrical & Computer Engineering, Ben-Gurion University in Israel, 2003 M.B.A., Ben-Gurion University in Israel, 2002 M.Sc. in Electrical & Computer Engineering, Ben-Gurion University in Israel, 1998 B.Sc. in Electrical & Computer Engineering, Ben-Gurion University in Israel, 1995 Background Dr. Arel is currently an associate professor in the Department of Electrical and Computer Engineering at the University of Tennessee. From 2000 to 2003 he was with TeraCross, Inc., a fables semiconductor company developing Terabit/sec switch fabric integrated circuits, where he held several key positions including chief scientist. Dr. Arel is a recipient of the Intel scholarship for excellence in Ph.D. studies. Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4702.txt b/src/data/compiled_bios/4702.txt new file mode 100644 index 0000000000..d8566bd7d7 --- /dev/null +++ b/src/data/compiled_bios/4702.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. George Bosilca Adjunct Faculty Contact Information Email: bosilca@icl.utk.edu Web: Homepage Mailing Address: Claxton Building, Room 308 1122 Volunteer Blvd. Knoxville, TN 37996-2250 Office Phone: 865-974-6321 Office Fax: 865-974-5483 Areas of Interest Parallel and distributed computing High Performance Computing Parallel Programming Paradigms Education PhD in Computer Science from University of Paris XI, France in 2004 M.SC in Math and Computer Science from University of Paris XI, France in 1999 Background George Bosilca is a Research Director and Adjunct Assistant Professor at the Innovative Computing Laboratory at University of Tennessee, Knoxville. His research interests evolve around distributed algorithms, parallel programming paradigms and performance modeling and optimizations, both from a theoretical and practical perspective. Dr. Bosilca is also interest in providing scalable and portable constructs for building resilience directly into the programming models. Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4703.txt b/src/data/compiled_bios/4703.txt new file mode 100644 index 0000000000..3d0507c665 --- /dev/null +++ b/src/data/compiled_bios/4703.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. Ethan Farquhar Adjunct Faculty Contact Information Email: efarquha@utk.edu Web: Homepage Mailing Address: Min H. Kao Building, Room 401 1520 Middle Drive Knoxville, TN 37996-2250 Office Phone: 865-974-5442 Office Fax: 865-974-5483 Areas of Interest Neuromorphic Circuits Analog Circuits Low-Power Circuits Analog and mixed-signal VLSI Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4704.txt b/src/data/compiled_bios/4704.txt new file mode 100644 index 0000000000..ac48e1efdc --- /dev/null +++ b/src/data/compiled_bios/4704.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Page Not Found Were sorry. It looks like nothing was found at this location. We hope the information below can be of some assistance. Try searching for the page: Search the Min H. Kao Department of Electrical Engineering & Computer Science Site Search Knoxville Campus Site Search the entire Tennessee System Min H. Kao Department of Electrical Engineering & Computer Science homepage The University of Tennessee, Knoxville homepage Here are some pages that you may be looking for, based upon the URL containing . Parker Has Leading Role in National Artificial Intelligence Directive UTK Spring 2019 Engineering Expo and Interview Day Dr. Michela Taufer Interviewed about High-Performance Computing for Well-Known HPC Website UTRF Inventor Spotlight: Dr. Daniel Costinett EECS Professor Receives Grant for Project Proposal EECS Professor Receives Patent EECS Professor Selected to Receive 2019 IBM Faculty Award Joe Jones Joins TCE IT Team Eastern Interconnection Frequency Oscillation Observed Making Goals: Grad Succeeds as Haslam Scholar, ORNL Researcher 404. The page at was not found. Are you sure the page should be here? Tell the UT Webteam about it . Let us know how you got here, and please include this url. Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4705.txt b/src/data/compiled_bios/4705.txt new file mode 100644 index 0000000000..ac48e1efdc --- /dev/null +++ b/src/data/compiled_bios/4705.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Page Not Found Were sorry. It looks like nothing was found at this location. We hope the information below can be of some assistance. Try searching for the page: Search the Min H. Kao Department of Electrical Engineering & Computer Science Site Search Knoxville Campus Site Search the entire Tennessee System Min H. Kao Department of Electrical Engineering & Computer Science homepage The University of Tennessee, Knoxville homepage Here are some pages that you may be looking for, based upon the URL containing . Parker Has Leading Role in National Artificial Intelligence Directive UTK Spring 2019 Engineering Expo and Interview Day Dr. Michela Taufer Interviewed about High-Performance Computing for Well-Known HPC Website UTRF Inventor Spotlight: Dr. Daniel Costinett EECS Professor Receives Grant for Project Proposal EECS Professor Receives Patent EECS Professor Selected to Receive 2019 IBM Faculty Award Joe Jones Joins TCE IT Team Eastern Interconnection Frequency Oscillation Observed Making Goals: Grad Succeeds as Haslam Scholar, ORNL Researcher 404. The page at was not found. Are you sure the page should be here? Tell the UT Webteam about it . Let us know how you got here, and please include this url. Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4706.txt b/src/data/compiled_bios/4706.txt new file mode 100644 index 0000000000..fcd65e07c6 --- /dev/null +++ b/src/data/compiled_bios/4706.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. Syed Islam Professor Contact Information Email: sislam@utk.edu Web: Analog Mailing Address: Min H. Kao Building, Room 401 1520 Middle Drive Knoxville, TN 37996-2250 Office Phone: 865-974-3461 Office Fax: 865-974-5483 Areas of Interest Analog/Mixed-Signal Integrated Circuit Design RF Microelectronics Monolithic Sensors Nanotechnology and Molecular Scale Electronics Wide Bandgap Semiconductor Devices Bio-Microelectronics MEMS Education Ph.D. in Electrical & Systems Engineering, University of Connecticut, Storrs, Connecticut, 1994 M.S. in Electrical Engineering, University of Connecticut, Storrs, Connecticut, 1987 B.S. in Electrical & Electronic Engineering (First in First Class), Bangladesh University of Engineering & Technology, Dhaka, Bangladesh, 1983 Background Dr. Syed Kamrul Islam received his B.Sc. in Electrical and ElectronicEngineering from Bangladesh University of Engineering and Technologyand M.S. and Ph.D. in Electrical and Systems Engineering from theUniversity of Connecticut. He is currently a Professor in theDepartment of Electrical Engineering and Computer Science. Dr. Islam is leading the research efforts of the Analog VLSI andDevices Research Group at the University of Tennessee. He is also thecoordinator of the UT/ORNL Joint Program in Mixed Signal VLSI andMonolithic Sensor. As an affiliated faculty member of The Universityof Tennessee Center for Environmental Biotechnology, he is leadingthe efforts to develop Biophotonic Biosensors using geneticallyengineered whole-cell bioreporters on integrated circuits. His current research interests are: semiconductor devices, hightemperature electronics, analog and mixed-signal circuit design,bio-microelectronics, and nanotechnology. Dr. Islam has received John W. Fisher Professorship for academicleadership skill, eta kappa nu outstanding teacher award, Moses E.and Mayme Brooks Distinguished Professor award, Min Kao FacultyFellowship award and College of Engineering Research Fellow award. Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4707.txt b/src/data/compiled_bios/4707.txt new file mode 100644 index 0000000000..37fb5ca05c --- /dev/null +++ b/src/data/compiled_bios/4707.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. Chao Tian Associate Professor Contact Information Email: ctian1@utk.edu Web: EECS Mailing Address: Min H. Kao Building, Room 605 1520 Middle Drive Knoxville, TN 37996-2250 Office Phone: 865-974-3965 Office Fax: 865-974-5483 Areas of Interest Data storage systems Information theory Data communication and networks Signal processing Education Ph. D. in Electrical and Computer Engineering,Cornell University, 2005 M.S. in Electrical and Computer Engineering,Cornell University, 2003 B. E. in Electronic Engineering, Tsinghua University, 2000 Background Dr. Tian received a B.E. degree in Electronic Engineering from Tsinghua University, Beijing, China, in 2000 and the M.S. and Ph. D. degrees in Electrical and Computer Engineering from Cornell University, Ithaca, NY in 2003 and 2005, respectively. Dr. Tian was a postdoctoral researcher at Ecole Polytechnique Federale de Lausanne (EPFL) from 2005 to 2007, andthen a researcher atAT&T LabsResearch (Shannon Labs)in New Jersey from 2007 to 2014. He was also an Adjunct Associate Professor at Columbia Universitybetween 2009 and 2013, and an Associate Editor for the IEEE Signal Processing Letters between 2012 and 2014. He joined the EECSdepartment of the University of Tennessee, Knoxville, as an associate professor in 2014. His research interests include data storage systems, information theory, data communication and networks, joint source-channel coding, as well as image/video coding and processing. Dr. Tian received the Liu Memorial Award at Cornell University in 2004, and the AT&T Key Contributor Award multiple times while he was with AT&T Labs-Research. Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4708.txt b/src/data/compiled_bios/4708.txt new file mode 100644 index 0000000000..5e5ad8f9fc --- /dev/null +++ b/src/data/compiled_bios/4708.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. Stanimire Tomov Adjunct Faculty Contact Information Email: tomov@icl.utk.edu Web: Homepage Mailing Address: Suite 317 Claxton 1122 Volunteer Blvd. Knoxville, TN 37996 Office Phone: 865-974-6317 Office Fax: 865-974-8296 Areas of Interest Parallel algorithms Numerical analysis High-performance scientific computing Numerical linear algebra Education Ph.D. in Mathematics, Texas A&M University, TX, 2002 M.S. in Mathematics, Texas A&M University, TX, 1999 B.S. and M.S. in Computer Science, Sofia University St. Kliment Ohridski, Bulgaria, 1994 Background Stanimire (Stan) Tomov is a Research Director in the Innovative Computing Laboratory (ICL) and Adjunct Assistant Professor in Electrical Engineering and Computer Science Department at the Universityof Tennessee, Knoxville. Tomovs research interests are in parallel algorithms, numerical analysis, and high-performance scientific computing (HPC). He has been involved in the development of numerical algorithms and software tools in a variety of fields ranging from scientific visualization and data mining to accurate and efficient numerical solution of PDEs. Currently, his work is concentrated on the development of numerical linear algebra libraries for emerging architectures for HPC, such as heterogeneous multicore processors, graphics processing units (GPUs), and Many Integrated Core (MIC) architectures. In particular, he is leading the development of the Matrix Algebra on GPU and Multicore Architectures ( MAGMA ) libraries, targeting to provide LAPACK/ScaLAPACK functionality on the next-generation of architectures. Tomov is also a Principal Investigator of the CUDA Center of Excellence ( CCOE ) at UTK , and Co-PI of the Intel Parallel Computing Center ( IPCC ) at ICL . Tomov received a Master of Science in Computer Science from Sofia University,St. Kliment Ohridski, Bulgaria in 1994 and a Ph.D. in Mathematics fromTexas A&M University in 2002. He worked at the Brookhaven National Laboratorybefore joining ICL in 2004. Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4709.txt b/src/data/compiled_bios/4709.txt new file mode 100644 index 0000000000..04b5c0426a --- /dev/null +++ b/src/data/compiled_bios/4709.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. J. Douglas Birdwell Contact Information Email: birdwell@utk.edu Mailing Address: Min H. Kao Building, Room 401 1520 Middle Drive Knoxville, TN 37996-2250 Office Phone: 865-974-3461 Office Fax: 865-974-5483 Areas of Interest Control Systems Information Processing High Performance Databases Computers Data Mining Bioinformatics Education B.S. in Electrical Engineering, The University of Tennessee, 1974 M.S. in Electrical Engineering, The University of Tennessee, 1974 Ph.D. in Electrical Engineering, Massachusetts Institute of Technology, 1978 Ph.D. Thesis: On Reliable Control System Designs Thesis Supervisor: Prof. Michael Athans Readers: Prof. Alan Willsky, Prof. Nils R. Sandell, Dr. David A. Castanon Background Dr. J. Douglas Birdwell is a retired Professor of Electrical and Computer Engineering at The University of Tennessee in Knoxville, TN. He received his B.S. and M.S. degrees in Electrical Engineering at the University of Tennessee in 1974. He received his Ph.D. in Electrical Engineering from M.I.T. in 1978, specializing in reliable control systems design. He joined the faculty at UT in 1978, and is presently the director of the Laboratory for Information Technologies, which develops secure distributed information systems and analysis tools for counternarcotics and other law enforcement agencies. He has extensive experience in the following areas: computer hardware and software applications development control systems signal processing and artificial intelligence, including inductive inference of dynamic signal processing structures for signal IDification intelligent process supervision CAD applications in control automated power distribution system analysis and reconfiguration inductive machine learning methods for modeling and real-time control categorical approaches to manipulations of stochastic decision trees distributed intelligent structures for real-time control modeling of C3 systems real-time intelligent control of power electronic inverters for adjustable speed drives He has over 100 publications in these areas and has directed in excess of $4M externally sponsored research and development projects at the University. He is a Fellow of the IEEE and a member of the Board of Governors (through 2001) and former Secretary-Administrator on Executive Committee for the IEEE Control Systems Society. He has served as an Associate Editor of the IEEE Transactions on Automatic Control, as Program Co-chair of the 1996 CDC held in Kobe, Japan, and as the General Chair of the 1998 CDC in Tampa, FL, USA. He is a member of the Tau Beta Pi, Eta Kappa Nu, and Sigma Xi honor societies. Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/471.txt b/src/data/compiled_bios/471.txt new file mode 100644 index 0000000000..04ba4575ec --- /dev/null +++ b/src/data/compiled_bios/471.txt @@ -0,0 +1 @@ +This page uses frames, but your browser doesn\'t support them. diff --git a/src/data/compiled_bios/4710.txt b/src/data/compiled_bios/4710.txt new file mode 100644 index 0000000000..b9f3bdf33e --- /dev/null +++ b/src/data/compiled_bios/4710.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. Asa O. Bishop Jr. Contact Information Email: abishop@utk.edu Mailing Address: EECS Main Office Min H. Kao Building, Room 401 1520 Middle Drive Knoxville, TN 37996-2250 Office Phone: 865-974-5488 Office Fax: 865-974-5483 No information available. Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4711.txt b/src/data/compiled_bios/4711.txt new file mode 100644 index 0000000000..d71b649812 --- /dev/null +++ b/src/data/compiled_bios/4711.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. R.E. Bodenheimer Contact Information Email: reb@utk.edu Mailing Address: EECS Main Office Min H. Kao Building, Room 401 1520 Middle Drive Knoxville, TN 37996-2250 Office Phone: 865-974-5415 Office Fax: 865-974-5483 Education B.S. in Electrical Engineering, The University of Tennessee, 1956 M.S. in Electrical Engineering, The University of Tennessee, 1958 Ph.D. in Electrical Engineering, Northwestern University, 1965 Background Dr. Robert Bodenheimer is an emeritus professor at the University of Tennessee, having served actively for nearly 40 years in the Department of Electrical Engineering. He received both his B.S. and M.S. in Electrical Engineering from the University of Tennessee, and his Ph.D. from Northwestern University. He initially joined the faculty at the University of Tennessee in 1957, took a leave to obtain his Ph.D. in 1961, and returned full-time in 1964. While at Northwestern, he served on that faculty for 2 years. Although he did his doctoral work in control systems, Dr. Bodenheimers areas of interest at the University of Tennessee were in digital systems and digital systems hardware. In 1959, he taught the first digital computer programming course at the University, using an LGP-30, an early 31 bit word computer with a 4096 word drum memory. A passionate educator, he developed the digital systems initiative in Electrical Engineering at both the graduate and undergraduate levels, concentrating on using Boolean algebra in design, digital-analog conversion, and analog-digital conversion. Later concentration was on microprogram control, microprocessor design, and using both in instrumentation and control applications. Dr. Bodenheimer has received numerous teaching awards over his career, including the 1985 IEEE Region 3 Outstanding Educator Award, the 1990-91 L. R. Hesler Award for Excellence in Teaching and Service, and the 1992-93 Hoechst Celenase Corp. Teaching and Research Award. The capstone honor of his educational efforts was the endowment of the Robert E. Bodenheimer Graduate Fellowship by a former student. Dr. Bodenheimer currently resides in South Knoxville on a gentlemans farm with his wife Sally. Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4712.txt b/src/data/compiled_bios/4712.txt new file mode 100644 index 0000000000..f4a0b00348 --- /dev/null +++ b/src/data/compiled_bios/4712.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. Bimal K. Bose Contact Information Email: bbose@utk.edu Email: b.bose@ieee.org Web: Wikipedia Entry Mailing Address: Min H. Kao Building, Room 610 1520 Middle Drive Knoxville, TN 37996-2250 Office Phone: 865-974-8398 Office Fax: 865-974-5483 Honors and Awards 2013: Bengal Engineering and Science University Doctor of Science Degree (Honoris Causa) from the President of India in recognition of Outstanding Contribution in Engineering and Dedicated Service to The Nation 2006:Bengal Engineering and Science University Distinguished Alumnus Award for Outstanding Contribution to the Profession and the Alma Mater 2005: IEEE * Power Electronics Society William W. Newell Award for Outstanding Achievements in the Interdisciplinary Field of Power Electronics 2003:Guest Professor of Huazhong University of Science and Technology, China 2000:IEEE * Millennium Medal for Outstanding Contributions in Power Electronics 1998: Honorary Professor (and Honorary Director of Elec. Eng. Inst.) of Xian Mining Institute, China 1997:IEEE * Meritorious Achievement Award in Continuing Education for Exemplary and Sustained Contributions to Continuing Education 1996:IEEE * Lamme Gold Medal (1996) for Contributions to the advancement of Power Electronics and Electrical Machine Drives 1996:IEEE * Life Fellow (1996) ( Fellow in 1989) for Contributions in Power Electronics and Drives Technology 1996:Honorary Professor of China University of Mining and Technology, China (1996) 1994:IEEE * Industrial Electronics Society Dr. Eugene Mittelmann Award in Recognition of Outstanding Contributions to Research and Development in the Field of Power Electronics and Life Time Achievement in the Area of Motor Drives 1994:IEEE * Region 3 Outstanding Engineer Award for Outstanding Achievements in Power Electronics and Drives Technology 1993:IEEE * Industry Applications Society Outstanding Achievement Award for Outstanding Contributions in the Applications of Electricity to Industry 1991:Honorary Professor of Shanghai University, China 1986:GE Silver Patent Medal 1985:GE Publications Award 1970:Calcutta University Mouat Gold Medal and Premchand Roychand Scholar for Research Contribution in Magnetic Amplifiers and Industrial Electronics Distinguished Lecturer of IEEE * Industry Applications Society Distinguished Lecturer of IEEE * Industrial Electronics Society Four Prize paper awards * The IEEE is the largest international professional organization in the world. Short Biography Dr. Bose held the Condra Chair of Excellence (Endowed Chair Professor) in Power Electronics at the University of Tennessee, Knoxville, since 1987, where he was responsible for teaching and the research program in power electronics and motor drives. Concurrently, he was the Distinguished Scientist (1989-2000) and the Chief Scientist (1987-1989) of EPRI-Power Electronics Applications Center, Knoxville, TN. Prior to this, he was a Research Engineer in the General Electric Corporate Research and Development (now GE Global Research Center), Schenectady, NY, for 11 years (1976-1987), an Associate Professor of Electrical Engineering, Rensselaer Polytechnic Institute, Troy, NY for five years (1971-1976), and a faculty member at Bengal Engineering and Science University (BESU)(formerly Bengal Engineering College), India for 11 years (1960-1971). He is specialized in power electronics and motor drives area, and has given extensive contributions in power converters, PWM techniques, electric/hybrid vehicle drives, microprocessor/DSP control, system simulation, renewable energy systems, and application of artificial intelligence techniques (expert system, fuzzy logic and neural network) in power electronics and drives systems. He served as a visiting professor in Federal University of Mato Grosso Sul (1989), Brazil; Aalborg University (1997), Denmark; Padova University (2003), Italy; Sevilla University (2008), Spain; and European Ph.D. School (2010), Italy. He has been power electronics consultant in a large number of industries. Dr. Bose has authored and co-authored more than 250 papers and holds 21 U.S. patents. He has authored/edited seven books in power electronics: Power Electronics and Motor Drives Advances and Trends (Elsevier/Academic Press, 2006), Modern Power Electronics and AC Drives (Prentice-Hall, 2001), Power Electronics and AC Drives (Prentice-Hall, 1986), Power Electronics and Variable Frequency Drives (Wiley/IEEE Press, 1997), Modern Power Electronics (IEEE Press, 1992), Microcomputer Control of Power Electronics and Drives (IEEE Press, 1987), and Adjustable Speed AC Drive Systems (IEEE Press, 1981). The books have been translated in several foreign languages. Dr. Bimal K. Bose: A Reference for Generations globally promoted power electronics, not only by his research publications and books, but also through his endless tutorial presentations, invited seminars, IEEE Distinguished Lectures and keynote addresses throughout the world comments IEEE IES Magazine Editor (June 2009). The IEEE IE Society Magazine (June 2009) honored him by publishing a Special Issue Honoring Dr. Bimal Bose and Celebrating His Contributions in Power Electronics with his photo on front cover. Dr. Bose has served the IEEE in various capacities, including Member of the IEEE Awards Board, Member of the IEEE Medal in Power Engineering Committee, Chairman of the IEEE Industrial Electronics Society (IES) Power Electronics Council, Associate Editor of the IEEE Transactions on Industrial Electronics, IEEE IECON Power Electronics Chairman, Chairman of the IEEE Industry Applications Society (IAS) Industrial Power Converter Committee, IAS Member of the Neural Network Council, Vice-Chair of the IEEE Medals Council, Vice-Chair of the IAS Distinguished Lecture Program, Member of IEEE-USA Energy Policy Committee, Member of the IEEE Fellow Committee, Member of IEEE Lamme Medal Committee, Member of the Editorial Board of the Proceedings of the IEEE, and Member of IEEE Spectrum Advisory Board. He was the Guest Editor of the Proceedings of the IEEE (Special Issue of Power Electronics and Motion Control, August 1994), and Special Section Editor of IEEE Transactions of Industrial Electronics (Neural Network Applications in Power Electronics and Motor Drives, February 2006). Dr. Bose has B.E. degree in 1956 from BESU, India, M.S. degree in 1960 from University of Wisconsin, Madison,, and D. Phil degree in 1966 from Calcutta University. Among his many philanthropic activities, he donated the IETE (Institute of Electronics and Tele-Communications Engineers, India) Power Electronics Award, BESU Distinguished Lecture Award, and 32 scholarships with library, seminar hall and open stage for his village school. He also contributed for EE Dept. of UTK and village development programs in India. Published Books Selected Publications 2013: Global Energy scenario and impact of power electronics in 21st century, IEEE Trans. on Ind. Electronics, vol. 60, July. 2009: The Past, Present and Future of Power Electronics, IEEE Industrial Electronics Magazine, vol.3, pp. 7-11, June. 2009: Power Electronics and Motor Drives Recent Progress and Perspective, IEEE Trans. on Ind. Electronics, vol. 56, pp. 581-588. Feb. 2007: Neural network applications in power electronics and motor drives, IEEE Trans. on Ind. Electronics, vol. 54, pp. 14-33. Feb. 2004: A neural network based space vector PWM of a five-level voltage-fed inverter, IEEE IAS Annu. Meet. Conf. Rec. (with N. Filho, J. Pinto and L. da Silva) 2004: Neural network based waveform processing and delayless filtering in power electronics and ac drives, IEEE Trans. on Ind. Electronics, vol. 51, pp. 981-991. Oct., (with J. Zhao) 2002: A neural network based space vector PWM controller for a three-level voltage-fed inverter induction motor drive, IEEE Trans. on Ind. Appl., vol. 38, pp.660-669, May/June, (with S. Mondal and J. Pinto) 2000. Energy, environment and advances in power electronics, IEEE Trans. on Power Electronics, vol. 15, pp.688-701, July. 1998: A soft-switched high frequency non-resonant link integral pulse modulated dc-ac converter for ac motor drive, IEEE IECON Conf. Rec., pp. 716-732. (with L. Hui and B. Ozpineci) 1997: Fuzzy logic based intelligent control of a variable speed cage machine wind generation system, IEEE Trans. on Power Electronics, vol. 12, pp. 87-95.Jan., (with M. Simoes etc.) 1995: Expert system aided automated design, simulation and controller tuning of ac drive system, IEEE IECON Conf. Rec., pp.712-718. (with S. Chhaya) 1995: Neural network based estimation of feedback signals for a vector controlled induction motor drive, IEEE Trans. on Ind. Appl., vol.31, pp.620-609, May/June, (with M. Simoes) 1995: Fuzzy logic based efficiency optimization control of an indirect vector controlled induction motor drive, IEEE Trans. on Ind. Electronics, vol. 42, pp. 192-198, April, (with G. Sousa and J. Cleland) 1994: A fuzzy set theory based control of a phase controlled converter dc machine drive, IEEE Trans. on Ind. Appl., vol. 30, pp. 34-44, Jan./Feb. (with G. Sousa) 1994: Investigation of fault modes of voltage-fed inverter system for induction motor drive, IEEE Trans. on Ind. Appl. , vol.30, pp. 1028-1038, July/Aug.,(with D. Kastha) 1994: Expert system, fuzzy logic, and neural network applications in power electronics and motion control, Proc. IEEE, vol.82, pp. 1303-1323, Aug. 1990. An adaptive hysteresis band current control technique of a voltage-fed PWM inverter for machine drive system, IEEE Trans. Ind. Electron., vol.37, pp. 402-408, Oct. 1988. A high- performance inverter-fed drive system of an interior permanent magnet synchronous machine, vol.24, pp. 987-999, Nov./Dec. 1985: A microcomputer based control of residential photovoltaic power conditioning system, IEEE Trans. on Ind. Appl., vol. 21, pp. 1182-1191, (with R. Steigerwald and P. Szczesny) 1977. High frequency link power conversion, IEEE Trans. Ind. Appl., vol.13, pp.387-393, Sept./Oct. (with P. Espelage) 1976. A frequency step up cycloconverter using power transistors in inverse series mode, Intl. Jour. of Electronics, vol.41, pp. 573-587, (with V. Jones) Keynote Presentations Energy, Environment and Importance of Power Electronics, 16th WSEAS International Conference, Kos Island, Greece, July 14-17, 2012. Energy Scenario and Impact of Power Electronics in 21ST. Century, Workshop on Power Electronics in Industrial Applications and Renewable Energy (PEIA2011), Doha, Qatar, November 3-4, 2011. Energy, Global Warming and Power Electronics, National Power Electronics Conference, Roorkee, India, June 10-13, 2010. Global Warming How Power Electronics Can Help in Solving the Problem? IEEE Conference on Industrial Electronics and Applications, 2009 (ICIEA 2009), Xian, China, May 25-27, 2009. Energy, Global Warming and Power Electronics, Australian Universities Power Engineering (AAUP) Conference 2009, Adelaide, September 28, 2009. Energy, Environment, and the Advancing Frontier of Power Electronics The 2nd IASTED Africa Conference on Power and Energy Systems (AfricaPES2008), Gaborone, Botswana, September 2008. Power Electronics Its Impact on Energy and Environment, 7th WSEAS International Conference, Venice, Italy, November 21-23, 2007. Energy, Environment and Importance of Power Electronics, IEEE POWERENG Conf., Lisbon, Portugal, April 2007. Intelligent control and Estimation in Power Electronics and Drives, Intl. Power Electronics Congress (CIEP 2006), Cholula, Mexico, October 2006. Global Energy Scenario and Perspectives in Power Electronics, Intl. Power Electronics Conference, Busan, Korea, October 2004. Advances in Power Electronics and Drives Their Impact on Energy and Environment, IEEE- Intl. Conf. on Power Electronics, Drives and Energy Systems (PEDES), Perth, Australia, Dec.1998. Energy, Environment and Progress in Power Electronics, Japan IEE/IAS Conference, Nagaoka, Japan, August 7, 1997. Recent Technology Advances in Power Electronics and Variable Frequency Drives, IEEE International Power Electronics Congress, San Luis Potosi, Mexico, August 20, 1995. Trends in Power Electronics and Drives Conf. on Industrial Drives, Rockhampton, Australia, Sept. 18, 1991. Power Electronics An Emerging Technology, Intl. Workshop on Role of Univ. In Power Electronics Education and Research (EPRI), Baltimore, July 7, 1989. Power Electronics and Drives Recent R & D Trends, First Chinese Academic Conf. on Variable Speed Drives, Beidaihe, China, Aug. 13, 1989. Power Electronics Present and Future, Tokyo, Japan IEE/PCIM, Dec. 8, 1989. Trends in Power Electronics and Drives, Diamond Jubilee of App. Physics Dept, Calcutta University, Calcutta, Jan.2, 1986. Technology Trends in Microcomputer Control of Small Machines, Intl. Conf. on Microcomputer Control of Small Machines (IEEE IE Society), Venice. Italy, July 14, 1986. Trends in Motion Control Technology, Applied Motion Control Conf., Minneapolis, June 13, 1985. Photos Bimal Bose is receiving Doctor of Science (Honoris Causa) degree from the President of India in the Annual Convocation of Bengal Engineering and Science University (BESU) in recognition of his outstanding contribution in engineering and his dedicated service to the nation. (Jan. 19, 2013) Bimal Bose received Lamme Gold Medal from the IEEE President (June 1996) IEEE Industrial Electronics Magazine Special Issue Cover (more info) (June 2009 Vol. 3, No. 2) Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4713.txt b/src/data/compiled_bios/4713.txt new file mode 100644 index 0000000000..bce7aa229e --- /dev/null +++ b/src/data/compiled_bios/4713.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. Donald W. Bouldin Contact Information Email: dbouldin@utk.edu Web: Microelectronic Systems News Web: Homepage Mailing Address: 612 Good Springs Road Brentwood, TN 37027 Phone: 615-478-8192 Areas of Interest MicroelectronicSystems Design System-on-Chip Design VLSI, ASICs, FPGAs, MCMs, Synthesis Reconfigurable Computing Education PhD in Electrical Engineering, Vanderbilt University, 1975 MS in Electrical Engineering, Georgia Institute of Technology, 1968 BE in Electrical Engineering, Vanderbilt University, 1967 Background Prof. Bouldin served two years as Chairman of the Technical Committee on VLSI for the IEEE Computer Society. He received the TAB Pioneer Award from the IEEE for his participation in CompuSat-88, a tutorial videoconference that was broadcast to over 6000 engineers in North America. He has received other awards over the years for outstanding teaching at the university and meritorious service to the IEEE. In addition to teaching VLSI systems design classes at the University of Tennessee, he has served as an instructor for eight faculty enhancement short courses on VLSI and FPGAs sponsored by the National Science Foundation (NSF). These have been held at the University of Tennessee, the Massachusetts Microelectronics Center, Boston University and the California State University, Sacramento. He has also taught short courses on VLSI design at five IEEE Nuclear Science Symposia and has organized a summer VLSI course for the Instituto Tecnologico y de Estudios Superiores in Monterrey, Mexico. He has also presented several tutorials and seminars in Argentina, Belgium, Brazil, Canada, France, Germany, Hong Kong, India, Japan, Mexico, Netherlands, Norway, Thailand, South Korea, Switzerland, the United Kingdom and the United Arab Emirates. Dr. Bouldin was the General Chairman of the 1990 Workshop on Microelectronic Systems Education in the 1990s and the 1993 Workshop on Rapid Prototyping of Microelectronics Systems for Universities that were sponsored by the NSF. He was the General Chair of the 1997 IEEE-CS International Conference on Microelectronic Systems Education. He was instrumental in gaining IEEE approval for the IEEE Transactions on VLSI Systems and served as its Editor-in-Chief during 1995-1996. He has chaired the Steering Committee for that publication. For almost twenty years, Dr. Bouldin served as special Section Editor of the VLSI Designers Interface column for IEEE Circuits & Devices Magazine and is Editor of the Microelectronic Systems Newsletter that is broadcast via electronic mail on a monthly basis to over 3000 VLSI designers. He was the Technical Program Chairman for the 1996 International Symposium on Circuits and Systems and managed the review of 1400 papers. Dr. Bouldin has authored over 250 publications and been the Principal Investigator for over nine million dollars of sponsored research, primarily with DARPA, ONR, NSF and the Oak Ridge National Laboratory. In 1997 Dr. Bouldin received the University of Tennessee Chancellors Award for Research and Creative Achievement. Also in 1997, Dr. Bouldin was recognized as a Fellow of the IEEE for contributions to the design of special-purpose architectures using VLSI processors. In 2003 he received the Allen and Hoshall Award from the College of Engineering at the University of Tennessee for excellence in teaching and research and was also recognized as a 2003 Engineering Research Fellow. In 2006 he received the Charles E. Ferris Award sponsored by the Technical Society of Knoxville. He has served as the major advisor for 14 Ph.D. and 98 M.S. students. Dr. Bouldin retired in 2011 after 36 years with the University of Tennessee and is now a consultant with the Oak Ridge National Laboratory. Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4714.txt b/src/data/compiled_bios/4714.txt new file mode 100644 index 0000000000..308c3b1f4f --- /dev/null +++ b/src/data/compiled_bios/4714.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. R.C. Gonzalez Contact Information Email: rcg@utk.edu Web: Homepage Office Phone: 865-690-8816 Office Fax: 865-690-8851 Areas of Interest Digital Image Processing Education PhD in Electrical Engineering, University of Florida,Gainesville, 1970 ME in Electrical Engineering, University of Florida, Gainesville,1967 BS in Electrical Engineering, University of Miami, 1965 Background Gonzalez joined the Electrical and Computer Engineering Department at the University of Tennessee, Knoxville (UTK) in 1970, where he became Associate Professor in 1973, Professor in 1978, and Distinguished Service Professor in 1984. He served as Chairman of the department from 1994 through 1997. He is currently a Professor Emeritus. He is the founder of the Image & Pattern Analysis Laboratory and the Robotics & Computer Vision Laboratory at the University of Tennessee. He also founded Perceptics Corporation in 1982 and was its president until 1992. The last three years of this period were spent under a full-time employment contract with Westinghouse Corporation, who acquired the company in 1989. Under his direction, Perceptics became highly successful in image processing, computer vision, and laser disk storage technologies. In its initial ten years, Perceptics introduced a series of innovative products, including: The worlds first commercially-available computer vision system for automatically reading the license plate on moving vehicles; a series of large-scale image processing and archiving systems used by the U.S. Navy at six different manufacturing sites throughout the country to inspect the rocket motors of missiles in the Trident II Submarine Program; the market leading family of imaging boards for advanced Macintosh computers; and a line of trillion-byte laser disk products. He is a frequent consultant to industry and government in the areas of pattern recognition, image processing, and machine learning. His academic honors for work in these fields include the 1977 UTK College of Engineering Faculty Achievement Award; the 1978 UTK Chancellors Research Scholar Award; the 1980 Magnavox Engineering Professor Award; and the 1980 M.E. Brooks Distinguished Professor Award. In 1981 he became an IBM Professor at the University of Tennessee and in 1984 he was named a Distinguished Service Professor there. He was awarded a Distinguished Alumnus Award by the University of Miami in 1985, the Phi Kappa Phi Scholar Award in 1986, and the University of Tennessees Nathan W. Dougherty Award for Excellence in Engineering in 1992. Honors he has received for industrial accomplishments include the 1987 IEEE Outstanding Engineer Award for Commercial Development in Tennessee; the 1988 Albert Rose Natl Award for Excellence in Commercial Image Processing; the 1989 B. Otto Wheeley Award for Excellence in Technology Transfer; the 1989 Coopers and Lybrand Entrepreneur of the Year Award; the 1992 IEEE Region 3 Outstanding Engineer Award; and the 1993 Automated Imaging Association National Award for Technology Development. Gonzalez is author or co-author of over 100 technical articles, two edited books, and four textbooks in the fields of pattern recognition, image processing, and robotics. His books are used in more than 1000 educational, industrial, and research institutions in over 50 countries. He is listed in the prestigious Marquis Whos Who in America, Marquis Whos Who in Engineering, Marquis Whos Who in the World, and in 10 other national and international biographical citations. He is the co-holder of two U.S. Patents, and has been an associate editor of the IEEE Transactions on Systems, Man and Cybernetics, and the International Journal of Computer and Information Sciences. He is a member of numerous professional and honorary societies, including Tau Beta Pi, Phi Kappa Phi, Eta Kappa Nu, and Sigma Xi. He is a Fellow of the IEEE. Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4715.txt b/src/data/compiled_bios/4715.txt new file mode 100644 index 0000000000..009b096b7d --- /dev/null +++ b/src/data/compiled_bios/4715.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. Joseph M. Googe Contact Information Email: jgooge@utk.edu Office Phone: 865-974-3461 Office Fax: 865-974-5483 No information available Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4716.txt b/src/data/compiled_bios/4716.txt new file mode 100644 index 0000000000..035ece5b7a --- /dev/null +++ b/src/data/compiled_bios/4716.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. Walter L. Green Contact Information Email: wlg@utk.edu Web: Homepage Office Phone: 865-974-5438 Office Fax: 865-974-5483 No information available Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4717.txt b/src/data/compiled_bios/4717.txt new file mode 100644 index 0000000000..800bdf8903 --- /dev/null +++ b/src/data/compiled_bios/4717.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. Eldredge Kennedy Contact Information Email: ejk@utk.edu Office Phone: 865-974-3461 Office Fax: 865-974-5483 No information available Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4718.txt b/src/data/compiled_bios/4718.txt new file mode 100644 index 0000000000..9f36b46649 --- /dev/null +++ b/src/data/compiled_bios/4718.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. Jack S. Lawler Contact Information Email: jsl@utk.edu Office Phone: 865-974-3461 Areas of Interest Power Systems Power Electronics Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4719.txt b/src/data/compiled_bios/4719.txt new file mode 100644 index 0000000000..5d18993656 --- /dev/null +++ b/src/data/compiled_bios/4719.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Mr. C.D. Martin Contact Information Email: cdmartintn@gmail.com Office Phone: 865-974-5463 Office Fax: 865-974-5483 No information available Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/472.txt b/src/data/compiled_bios/472.txt new file mode 100644 index 0000000000..9dc9beeca3 --- /dev/null +++ b/src/data/compiled_bios/472.txt @@ -0,0 +1 @@ +Lszl Babai\'s Home Page MathJax.Hub.Config({ tex2jax: { inlineMath: [[\'$\',\'$\'], [\'\\\\(\',\'\\\\)\']], processEscapes: true }, }); $\ ewcommand{\\polylog}{\\mathrm{polylog}}$ $\ ewcommand{\\wto}{\\widetilde{O}}$ Departments of Computer Science and Mathematics University of Chicago home research courses, REU CV, publications my students ToC BSM other links contact Graph Isomorphism update UPDATED January 9, 2017. Algorithm updated, quasipolynomial-time claim restored. diff --git a/src/data/compiled_bios/4720.txt b/src/data/compiled_bios/4720.txt new file mode 100644 index 0000000000..59129a7502 --- /dev/null +++ b/src/data/compiled_bios/4720.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Ms. J. Wallace Mayo Contact Information Email: mayo@utk.edu Web: Homepage Mailing Address: Min H. Kao Building, Room 307 1520 Middle Drive Knoxville, TN 37996-2250 Office Phone: 865-974-5067 Office Fax: 865-974-5483 Responsibilities Teaching and developing core courses Undergraduate student advising Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4721.txt b/src/data/compiled_bios/4721.txt new file mode 100644 index 0000000000..8ba12ce9dc --- /dev/null +++ b/src/data/compiled_bios/4721.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. Michael J. Roberts Contact Information Email: mjr@utk.edu Web: Homepage Mailing Address: Min H. Kao Building, Room 432 1520 Middle Drive Knoxville, TN 37996-2250 Office Phone: 865-974-5430 Office Fax: 865-974-5483 Office Hours 1:00pm 4:00pm on Tuesdays Areas of Interest Electro-Optics Communications Signal Processing Instrumentation Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4722.txt b/src/data/compiled_bios/4722.txt new file mode 100644 index 0000000000..4b4b1113c5 --- /dev/null +++ b/src/data/compiled_bios/4722.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. James M. Rochelle Contact Information Email: james.rochelle@xyzmicrosystems.com Office Phone: 865-974-8051 Office Fax: 865-974-5483 No information available Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4723.txt b/src/data/compiled_bios/4723.txt new file mode 100644 index 0000000000..8393ea3d93 --- /dev/null +++ b/src/data/compiled_bios/4723.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. Gordon R. Sherman Contact Information Email: gsherman@utk.edu Office Phone: 865-974-5067 Office Fax: 865-974-5483 Positions Professor Emeritus, Computer Science, 1992-present NSF Program Director, Techniques and Systems, Computer Applications in Research Section, Office of Computing Activities, 1971-1972 Professor of Mathematics and Computer Science, Director of the Computer Center, University of Tennessee , 1960-1992 Instructor in Mathematics and Research Associate, Purdue University 1956-1960 Education PhD in Mathematics, Purdue University, 1960 MS in Statistics, Stanford University, 1954 BS in Statistics (Minor in Mathematics and Economics), Iowa State College, 1953 Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4724.txt b/src/data/compiled_bios/4724.txt new file mode 100644 index 0000000000..0cfb59c1aa --- /dev/null +++ b/src/data/compiled_bios/4724.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. David Straight Contact Information Email: straight@utk.edu Web: Homepage Mailing Address: Min H. Kao Building, Room 307 1520 Middle Drive Knoxville, TN 37996-2250 Office Phone: 865-974-5067 Office Fax: 865-974-5483 Areas of Interest LANS architecture Parallel processing Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4725.txt b/src/data/compiled_bios/4725.txt new file mode 100644 index 0000000000..f4981748b3 --- /dev/null +++ b/src/data/compiled_bios/4725.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. Fred Symonds Contact Information Email: fws@utk.edu Office Phone: 865-974-5415 Office Fax: 865-974-5483 No information available Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4726.txt b/src/data/compiled_bios/4726.txt new file mode 100644 index 0000000000..297e484a5f --- /dev/null +++ b/src/data/compiled_bios/4726.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. Michael G. Thomason Contact Information Email: mthomaso@utk.edu Web: Homepage Mailing Address: Min H. Kao Building, Room 315 1520 Middle Drive Knoxville, TN 37996-2250 Office Phone: 865-974-4405 Office Fax: 865-974-5483 Areas of Interest Image and pattern analysis Stochastic processes, parallel algorithms Education B.S.E.E. from Clemson M.S. from Johns Hopkins Ph.D. from Duke Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4727.txt b/src/data/compiled_bios/4727.txt new file mode 100644 index 0000000000..2d5000edd6 --- /dev/null +++ b/src/data/compiled_bios/4727.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. Michael D. Vose Associate Professor Contact Information Email: mvose1@utk.edu Mailing Address: Min H. Kao Building, Room 352 1520 Middle Drive Knoxville, TN 37996-2250 Office Phone: 865-974-3076 Office Fax: 865-974-5483 Areas of Interest Cross-Disciplinary Activities Algorithms Simulation Theory Education PhD, University of Texas, Austin Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4728.txt b/src/data/compiled_bios/4728.txt new file mode 100644 index 0000000000..d978d9ad2e --- /dev/null +++ b/src/data/compiled_bios/4728.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. J. Wayne Waller Contact Information Email: jww@utk.edu Office Phone: (865) 974-3461 Areas of Interest Circuit Theory Analog Circuits Digital Circuits Analog Communications Education Ph.D. Engineering Science, University of Tennessee, 1963 M.S.E.E., University of Tennessee, 1961 B.S.E.E., University of Tennessee, 1960 Status Dr. Waller joined the faculty of the Department of Electrical Engineering, as it was then known, in January 1964 and retired from the Department of Electrical Engineering & Computer Science in December 1999 after 35 years of service. Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4729.txt b/src/data/compiled_bios/4729.txt new file mode 100644 index 0000000000..cd98dc7d46 --- /dev/null +++ b/src/data/compiled_bios/4729.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. Robert C. Ward Contact Information Email: bward@utk.edu Web: Homepage Mailing Address: Min H. Kao Building, Room 307 1520 Middle Drive Knoxville, TN 37996-2250 Office Phone: 865-974-4389 Office Fax: 865-974-5483 Areas of Interest Scientific computing Parallel algorithms Matrix computations Computational science and engineering Mathematical software Education PhD in Applied Mathematics, University of Virginia, 1974 MS in Mathematics, College of William and Mary, 1969 BS in Mathematics, Tennessee Technological University, 1966 Background Bob Ward is a native Tennessean, born and raised in Sparta a small town in Middle Tennessee. He received his bachelors degree in mathematics from Tennessee Technological University, his masters degree in mathematics from the College of William and Mary, and his doctorate in applied mathematics from the University of Virginia. Dr. Wards career started at the NASA Langley Research Center in Hampton, Virginia, where he spent 8 years as a computational mathematician developing software for eigensystem analyses, applying tools for time series analyses, and consulting on mathematical and programming problems. He then moved back to Tennessee and worked over 20 years for the Oak Ridge National Laboratory as a researcher and manager. His research accomplishments during this time included the development of the Combination Shift QZ Algorithm, which was selected for inclusion in the international distributed EISPACK software package, the development of one of the most accurate and still most commonly used algorithms for computing the matrix exponential, and the development of algorithms for computing the solution to many diverse matrix problems such as linear dependency analysis of multivariate data and skew-symmetric eigenproblems. As a manager, Dr. Ward managed an aggressive research program at ORNL to develop basic algorithms for parallel computers characterizing their performance and transferring this knowledge to computational scientists at ORNL and affiliated universities. He led computer-related research activities at ORNL from a budget of $700K in FY82 to over $15M in FY94. He held numerous management positions including Director of the Engineering Physics and Mathematics Division and Acting Director of the Center for Computational Sciences. In 1995 Dr. Ward left ORNL to become Professor and Head of the Department of Computer Science at the University of Tennessee. During his 8 years as Head, the department became one of the most productive departments on campus with its position of first per faculty capital among science departments in number of B.Sc. and M.Sc. graduates and in sponsored research funding. Among his research accomplishments was the co-development of the Block Divide-and-Conquer algorithm for computing eigensystems of large matrices. His major professional activities include Chair of numerous international meetings and organizations such as a SIAM National Meeting and the SIAM Activity Group on Linear Algebra and serving on conference committees such as the Program Committee and Tutorials Committee for the Supercomputing XY series of conferences. He has been elected as Fellow of the American Association for the Advancement of Science, elected to Kappa Mu Epsilon and Tau Beta Pi Honor Societies, and selected to the All-Ohio Valley Conference Academic Basketball Team while at TTU. Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/473.txt b/src/data/compiled_bios/473.txt new file mode 100644 index 0000000000..99e43cab3d --- /dev/null +++ b/src/data/compiled_bios/473.txt @@ -0,0 +1 @@ +Michael J. O\'Donnell (Mike) He\'ll join calm node. Inhaled Jello? C\'mon! Habeas Corpus, foundation of liberty "The Privilege of the Writ of Habeas Corpus shall not be suspended, unless when in Cases of Rebellion or Invasion the public Safety may require it." United States Constitution, Article One, Section Nine. It\'s more important than it sounds---look it up. "I am Spartacus" Risks in computing I am Professor Emeritus, which means retired. Email: michael_odonnell@acm.org, odonnell@cs.uchicago.edu diff --git a/src/data/compiled_bios/4730.txt b/src/data/compiled_bios/4730.txt new file mode 100644 index 0000000000..3c7bb12d22 --- /dev/null +++ b/src/data/compiled_bios/4730.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING In Memoriam: Mr. Raymond K. Adams Contact Information Email: eecs-info@utk.edu Mailing Address: EECS Main Office Min H. Kao Building, Room 401 1520 Middle Drive Knoxville, TN 37996-2250 Office Phone: 865-974-3461 Office Fax: 865-974-5483 Obituary for Mr. Raymond K. Adams Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4731.txt b/src/data/compiled_bios/4731.txt new file mode 100644 index 0000000000..16e5c527d3 --- /dev/null +++ b/src/data/compiled_bios/4731.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING In Memoriam: Dr. Igor Alexeff Contact Information Email: eecs-info@utk.edu Mailing Address: EECS Main Office Min H. Kao Building, Room 401 1520 Middle Drive Knoxville, TN 37996-2250 Office Phone: 865-974-3461 Office Fax: 865-974-5483 Professor Igor Alexeff died at his home in Oak Ridge, TN on Oct. 25, 2012 at the age of 81 from ALS, also known as Lou Gehrigs disease. Anne Alexeff, his wife and partner of 58 years, was at his side until the end. He is also survived by his son Alexander, daughter-in-law Monika Dimmel-Alexeff, both of Malibu, CA; daughter, Helen Alexeff, of Knoxville; granddaughters, Zoe, Ivy and Noa Alexeff, of Malibu and Jasmine Alexeff-Little, of Knoxville. Igor was born in Pittsburgh, PA on January 5, 1931, the son of Alexander Alexeff and Tamara Tchirkow Alexeff. He had a lifelong interest in science and mathematics, and was both an outstanding engineer and a dynamic leader of the plasma science and engineering community. During his career, he worked in many areas of plasma science and engineering. He made the first observation of ion acoustic waves in a plasma (1963) and invented the Orbitron maser, a microwave oscillator in which electrons in orbit around a positively charged wire bunch, via a negative mass instability, and generate radiation at up to 1 THz. More recently, he worked extensively on ball lightning and atmospheric pressure plasma discharges, with applications including plasma stealth antennas and medical sterilization. A recent Web of Science search found 371 citations for I. Alexeff, including more than 140 journal articles, beginning with a 1955 Physical Review paper on Evapor-Ion Pump Developments. He was also a prolific inventor, and received more than 20 US patents during his career. Igor received a BA in Physics with honors from Harvard in 1952, and received his PhD from the University of Wisconsin in Nuclear Physics in 1959. He also passed the Tennessee State License Exam, and was a registered professional engineer. He worked at the Westinghouse Research Laboratory from 1952 to 1953, where he helped develop the first nuclear submarine. From 1960 to 1970, he worked on controlled thermonuclear fusion at the Oak Ridge National Laboratory. From 1971 to 1996, he was a Full Professor in the Department of Electrical Engineering of the University of Tennessee, working in industrial plasma engineering. During his career, he also worked overseas for extended periods in Switzerland, Japan, India, South Africa, and Brazil. He was also a founding member of the Tennessee Inventors Association, which was formed in 1983, and its President in 1984, and Secretary-Treasurer of the American Physical Societys Division of Plasma Physics from 1983 to 1984. He retired from teaching in 1996, but retained his office and research laboratory as an emeritus professor, and continued his work until 2011. During this period, he consulted for private industry while licensing some of his inventions. As a professor at the Department of Electrical and Computer Engineering of the University of Tennessee, Igor was known as an outstanding teacher and mentor. His plasma physics courses were some of the most popular courses in the department and inspired many a student to pursue their research in plasma science and engineering. Students particularly enjoyed watching Igor conducting small but spectacular experiments on top of the classroom desk to illustrate some of the plasma physics principles that he had just taught them. Some of these shows included bringing his telescope, when a special astronomical event was taking place, probing the skies, and making a connection between what the students observed and plasma physics concepts. In his research laboratory, Igor was a hands-on supervisor who took part in all t he experiments and enjoyed demonstrating to his graduate students the art and science of conducting scientific experimentation. He always treated the members of his research group as family and often on weekends and holidays invited them to his farm, located in the countryside outside of Knoxville, where they all enjoyed food, games, and good company. Igor was very fond of his farm, where he kept various animals (cows, a pony, cats, and geese). He spent as much time as he could at the farm, where he took care of his animals and enjoyed using his Russian-made tractor to work the land. Igor had a long relationship with the IEEE and the NPSS. He was a member of the Organizing Group of Petitioners for a Plasma Group whose petition was submitted to the AdCom of the IEEE Nuclear Science Group at a meeting on March 2, 1972. That meeting approved the submission of a petition to the IEEE to form the Nuclear and Plasma Sciences Society from the Nuclear Science Group and the Plasma Organizing Group, with a new Plasma and Fusion Science technical committee formed and headed by Leon Shohet. Igor was present as a representative of the Plasma Sciences and Applications technical committee at the first meeting of the AdCom of the newly formed Nuclear and Plasma Sciences Society on December 5, 1972 at the Deauville Hotel in Miami Beach. At this meeting, I. Alexeff indicated that the Plasma Sciences Technical Committee planned to establish their 1st Plasma Sciences International Conference in May or June 1973 at the University of Tennessee. This would be a three-day meeting which would draw on ORNL for help. They expect 200 attendees and plan a registration fee of $25 for members, $30 for non-members. They plan on publishing abstracts in any case and, depending on response, may publish complete papers as an issue of the Transactions on Plasma Sciences. They would desire that the Nuclear and Plasma Sciences Society cover any deficit which may be incurred by this meeting. The first International Conference on Plasma Science (ICOPS) was actually held in May 1974 in Knoxville, TN. Igor chaired the conference, and at the May 16, 1974 AdCom meeting, I. Alexeff reported that the conference was quite successful with about 140 to 150 persons registered and 130 papers submitted. They expect to break even financially. This years ICOPS, joint with the Pulsed Power Conference, will be the 40th in the successful series that he began. Igor was President of the NPSS from 1999 to 2000, Vice-President on two occasions (1983 and 1998), and an elected member of AdCom from 19801983 and 19961999. He also chaired a number of AdCom committees, including Awards, Chapters and Local Activities, Nominating, and Fellow Candidate Evaluation. In addition, he was an elected member of the Executive Committee (ExCom) of the NPSS Plasma Science and Applications Committee on a number of occasions from the early 1970s through the early 1990s, Secretary from 19791981, Vice-Chair in 1978 and 1989, and Chair of ExCom from 1983 to 1984. He remained involved with PSAC activities till his death, and was a frequent guest at ExCom meetings and receptions. As noted above, he was the General Chair of the first IEEE International Conference on Plasma Science, which was held in Knoxville, TN in 1974. He was also a member of the IEEE Fellow Committee from 1983 through 1986, and, following his term, frequently assisted other NPSS members by reading and critiquing their fellow nominations. Along with Victor Granatstein, he organized a minicourse on Generation of High-Power Microwaves, Millimeter-Waves, and Submillimeter-Waves at the 1986 ICOPS in Saskatoon, Canada, and they together edited a subsequent book High Power Microwave Sources that was published by Artech House in 1987. From 2008 until his death, he was also an NPSS Distinguished Lecturer. He gave lectures on topics such as nuclear fusion and ball lightning to many different audiences on behalf of the NPSS, including four lectures during two trips to Kharkiv in the Ukraine in the winters of 2010 and 2011 to visit the Institute of Radiophysics and Electronics of National Academy of Science of Ukraine as well as the NPSS East Ukraine Joint Chapter. A collaboration that resulted from his visit to Kharkiv resulted in what may be his last technical paper, Negative Mass Instability in Low Voltage Cyclotron Resonance Maser, by I. Alexeff et al., which was published in the proceedings of the 2012 International Conference on Mathematical Methods in Electromagnetic Theory. Igor presented his final two Distinguished Lectures on The Van Allen Hypothesis in April 2012, one at an old movie theater and the second at Roane State Community College in Harriman, TN. Igor received a number of significant awards during his career. He was a Fellow of the American Physical Society and a Life Fellow of the IEEE. He received the IEEE Centennial Medal in 1984. He received R&D 100 Awards in 1989 and 1991. He received the NPSS Richard F. Shea Distinguished Member Award in 1993 for contributions to NPSS, including his leadership role on the IEEE Plasma Science and Applications Committee and his service as first chairman of the IEEE Conference on Plasma Science. He received the NPSS Plasma Science and Applications Award in 2002 for outstanding contributions to plasma science, including pioneering work on ion acoustic waves and on plasma sheath expansion, substantial impact on the development of high power microwave sources, dedicated mentorship and education of generations of students, and extraordinary professional service, including co-founding of the IEEE Nuclear and Plasma Sciences Society in 1972. In recognition of his career and service, the NPSS Outstanding Student in Plasma Science award is being renamed the Igor Alexeff Outstanding Student in Plasma Science award. As this is written, this action was awaiting final approval by TAB. Igor was also an amateur magician who took great delight in performing a variety of impressive magic tricks for children and adults alike. One especially memorable show was Igors performance at the ICOPS conference banquet in 2002, where, during his PSAC Award lecture entitled Outrageous Personal Plasma Projects, he put on a magic show with the assistance of his wife, Anne, and at the end, actually disappeared from the stage! A few moments later, he returned to the stage from the back of the room to finish the show. Igor Alexeff was a true gentleman, scholar, teacher, and human being, beloved by friends, colleagues and students. He will be sorely missed. Prepared by Steve Gold, Mounir Laroussi, and Steve Gitomer. Originally publishedMarch 2013: Nuclear & Plasma Sciences Society News Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4732.txt b/src/data/compiled_bios/4732.txt new file mode 100644 index 0000000000..2862679afd --- /dev/null +++ b/src/data/compiled_bios/4732.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING In Memoriam: Dr. J. Milton Bailey Contact Information Email: eecs-info@utk.edu Mailing Address: EECS Main Office Min H. Kao Building, Room 401 1520 Middle Drive Knoxville, TN 37996-2250 Office Phone: 865-974-3461 Office Fax: 865-974-5483 Dr. John Milton Bailey, Jr. , of Knoxville, TN , was born in Memphis, TN, to the late John Milton Bailey and Ruth Gregory Bailey. He was raised in Memphis and graduated from Memphis Technological High School. He received his B.S. in Physics from Davidson College in 1949 and his M.S. in Electrical Engineering from the University of Tennessee, Knoxville in 1952. He spent three years as an Instrument Engineer with E.I. Dupont in Orange, Texas. He then entered the Georgia Institute of Technology where he graduated with a Ph.D. in Electrical Engineering in 1960. While at Georgia Tech, he received the M.A. Ferst Sigma XI Award for his Doctoral Dissertation. Dr. Bailey was a Professor Emeritus in the Electrical Engineering Department of the University of Tennessee and an adjunct participant at the Oak Ridge National Laboratory. In 1994, he received the most prestigious award given by the College of Engineering at the University of Tennessee The Nathan W. Dougherty Award for Distinguished Service in the Engineering Profession. He had five patents in the field of electric motor design and control. Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4733.txt b/src/data/compiled_bios/4733.txt new file mode 100644 index 0000000000..9e10c7e50e --- /dev/null +++ b/src/data/compiled_bios/4733.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. Marshall O. Pace Contact Information Email: eecs-info@utk.edu Mailing Address: EECS Main Office Min H. Kao Building, Room 401 1520 Middle Drive Knoxville, TN 37996-2250 Office Phone: 865-974-3461 Office Fax: 865-974-5483 Obituary for Dr. Marshall O. Pace Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4734.txt b/src/data/compiled_bios/4734.txt new file mode 100644 index 0000000000..1f0727cc2c --- /dev/null +++ b/src/data/compiled_bios/4734.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING In Memoriam: Dr. Jesse H. Poore Contact Information Email: eecs-info@utk.edu Mailing Address: EECS Main Office Min H. Kao Building, Room 401 1520 Middle Drive Knoxville, TN 37996-2250 Office Phone: 865-974-3461 Office Fax: 865-974-5483 Areas of Interest Economical production of high-quality software Federal software policy Education Ph.D. 1970, Information and Computer Science, Georgia Tech Background Dr. Poore came to the University of Tennessee in 1986 as chair of the Department of Computer Science and served as director of the University of Tennessee-Oak Ridge National Laboratory (ORNL) Science Alliance from 2000-2011. As a professor in the Department of Electrical Engineering and Computer Science, Dr. Poores research focused on the economical production of high-quality software. Dr. Poore passed away in April 2012. Quotes from friends, colleagues, and former students Tennessee Today Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4735.txt b/src/data/compiled_bios/4735.txt new file mode 100644 index 0000000000..410d261a0c --- /dev/null +++ b/src/data/compiled_bios/4735.txt @@ -0,0 +1 @@ + Skip to content The University of Tennessee, Knoxville Min H. Kao Department of Electrical Engineering & Computer Science Toggle navigation FIND PAGE Toggle navigation CLOSE Home About EECS Back About EECS Welcome to EECS Contact Information EECS Department Overview Video Facilities Facilities Min H. Kao Building Photo Gallery History Visitor Information Enrollment Data Min H. Kao EECS Department Bylaws Academics Back Academics Undergraduate Programs Undergraduate Programs Admissions Financial Aid ABET Goals Five-year BS/MS Program Honors Curriculum Graduate Programs Graduate Programs Financial Aid Graduate Handbook Award and Fellowship Information for Graduate Students Advising Advising Course Planning EECS Course Catalog Listings Schedule of Classes/Timetable Course Websites Research Back Research Areas of Research Areas of Research Affiliated Labs, Centers, and Institutes CURENT ICL NIMBioS Neuromorphic UT VolSec Technical Reports Library People Back People Faculty Full-Time Faculty (photos) Professor of Practice, Lecturer and Research (photos) Joint Faculty with ORNL & Adjunct Faculty Emeritus In Memoriam Business Office IT Staff Parts Store Mechanical Shop Advising Research Staff Industrial Advisory Board Student Organizations Dr. Min H. Kao Employment Opportunities News and Events Back News and Events Recent News Events Calendar Resources Back Resources Facilities Services EECS IT Support EECS IT Support EECS IT Knowledge Base Lab Resources EECS Facilities Statement Mechanical Shop EECS Parts Store Shipping and Receiving EECS Portal Faculty Senate Give to the Tickle College of Engineering Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Dr. David Rosenberg Contact Information Email: eecs-info@utk.edu Mailing Address: EECS Main Office Min H. Kao Building, Room 401 1520 Middle Drive Knoxville, TN 37996-2250 Office Phone: 865-974-3461 Office Fax: 865-974-5483 No information available Min H. Kao Department of Electrical Engineering & Computer Science TICKLE COLLEGE OF ENGINEERING Site Map Min H. Kao Building Suite 401 1520 Middle Drive Knoxville, TN 37996-2250 Phone:865-974-3461 FAX:865-974-5483 General Information: eecs-info@utk.edu Graduate School Information: eecs-gradinfo@utk.edu Website Feedback: eecs-webteam@utk.edu The University of Tennessee The University of Tennessee, Knoxville Knoxville, Tennessee 37996 865-974-1000 Events Map A-Z Directory Apply Give to UT The flagship campus of the University of Tennessee System and partner in the Tennessee Transfer Pathway . diff --git a/src/data/compiled_bios/4736.txt b/src/data/compiled_bios/4736.txt new file mode 100644 index 0000000000..7eb5b7bbcb --- /dev/null +++ b/src/data/compiled_bios/4736.txt @@ -0,0 +1 @@ + James F. Allen b. 1950. Ph.D. (1979) University of Toronto. Assistant Professor (79-84), Associate Professor (84-87), Department Chair (87-90), Professor (87-present), John H. Dessauer Professor of Computer Science (92-present), University of Rochester; Senior Research Scientist (02-present), Associate Director (06-present), Florida Institute for Human and Machine Cognition; Editor-in-Chief, Computational Linguistics (83-93; Presidential Young Investigator (84-89); author of Natural Language Understanding, Benjamin Cummings (87), 2nd edition (1995); Reasoning About Plans, Morgan Kaufmann (91); co-editor of Readings in Planning, Morgan Kaufmann (90); Founding Fellow of the AAAI. My research interests span a range of issues covering natural language understanding, discourse, knowledge representation, common-sense reasoning and planning. I am particularly interested in the overlap between natural language understanding and reasoning. While most of the NLP field has moved to statistical learning methods as the paradigm for language processing, I believe that deep language understanding can only currently be achieved by significant hand-engineering of semantically-rich formalisms coupled with statistical preferences. For further discussion of this viewpoint, see the state of NLP . For a more general discussion of AI, see my keynote address from the 1998 AAAI National conference here . The TRIPS project is a long-term effort to build generic technology for dialogue systems (both spoken and 'chat' systems), which we have now pursued for over a decade. This includes broad -coverage domain-general natural language processing, dialogue agents built using models of collaborative problem solving, dynamic context-sensitive language modeling, and a rich engineering framework for building dialogue systems in new domains in short times. We can build robust spoken dialogue systems in significantly less time than it would take to collect and annotate a small starter corpora that would be needed for machine-learning driven approaches. Note, there is a fairly complete set of publications from my research group since 1990. A Generic Framework for Dialogue Systems Our research in discourse is focused on two-person extended dialogs in which the speakers have specific tasks to accomplish. An emphasis in this work on developing a theory of dialogue as a collaborative problem solving activity, where the current problem solving situation is used to solve problems in semantic interpretation and the recognition of the intentions underlying the speakers' utterances. Highlights of work in this area include the development of the first computational model of speech acts, the development of a multi-level plan-based analysis involving discourse, and the development of an overall architecture for dialogue systems driven by a collaborative problem solving agent. While it is important for work to be formally well-defined and understood, it is equally important that computational theories can lead to effective implementations. We have demonstrated and tested our models in a wide range of different applications. Most recently, we have been focusing on task/workflow learning systems in which the the system learns a task model from a dialogue with the user that includes a single demonstration of the task. By combining deep language understanding, reasoning, learning and dialog, we can learn robust task models in a matter of minutes. An overview of this work can be found in a paper PLOW that won the outstanding paper award at AAAI in 2007 (videos of PLOW are available here . More details on all our dialogue systems can be found on our projects page . Selected Publications in Dialogue-based Task Learning Allen, J. F., N. Chambers, et al. (2007). PLOW: A collaborative task learning agent . Named Best Paper, National Conference on Artificial Intelligence (AAAI). Vancouver, BC. Jung, H., J. F. Allen, et al. (2007). "Utilizing natural language for one-shot task learning." Logic and Computation 18(3): 475-493. Chambers, N., J. Allen, et al. (2006). Using Semantics to Identify Web Objects . 21st National Conference on Artificial Intelligence (AAAI-06), Boston, MA.[ pdf ] Work on Speech Act-based Dialogue Models Allen, J. F. and C. R. Perrault (1980). "Analyzing Intention in Utterances." Artificial Intelligence 15(3). Perrault, C. R. and J. F. Allen (1980). "A Plan-based Analysis of Indirect Speech Acts." Computational Linguistics 6(3): 167-182. Allen, J.F. and D.J. Litman. "Discourse Processing and Common sense Plans." in P.R. Cohen, J. Morgan, and M. Pollack, Intentions and Communication, MIT Press, 1990. Hinkelman, E. and J.F. Allen. ``Two Constraints on Speech Act Ambiguity.'' In Proc., 27th Meeting of the Assoc. for Computational Linguistics, 1989. Traum, D. and Allen, J.F. " Discourse Obligations in Dialogue Processing " Proc. 32nd Meeting of the Assoc. for Computational Linguistics, 1994. Peter Heeman and James Allen, Speech Repairs, Intonational Phrases and Discourse Markers: Modeling Speakers' Utterances in Spoken Dialog , Computational Linguistics, Vol. 25-4, 1999. Papers on Selected TRIPS-based Dialogue Systems Allen, J.F., B. Miller, E. Ringger and T. Sikorski A Robust System for Natural Spoken Dialogue , Proc. 34th Meeting of the Assoc. for Computational Linguistics, 1996. George Ferguson and James F. Allen, TRIPS: An Integrated Intelligent Problem-Solving Assistant , Proceedings of the Fifteenth National Conference on AI (AAAI-98), Madison, WI, 26--30 July, 1998 Allen, J., Byron, D., Dzikovska, M., Ferguson, G., Galescu, L. and Stent, A., Towards a Generic Dialogue Shell , Natural Language Engineering,6(3) 2000. pp1-16 James Allen, Donna Byron, Myroslava Dzikovska, George Ferguson, Lucian Galescu, and Amanda Stent, " Towards Conversational Human-Computer Interaction ," AI Magazine , 2001. Allen, J. F. and G. Ferguson (2002). Human-Machine Collaborative Planning . 3rd Int'l. NASA Workshop on Planning and Scheduling for Space, Houston, TX. James Allen, George Ferguson, and Amanda Stent, " An architecture for more realistic conversational systems ," in Proceedings of Intelligent User Interfaces 2001 (IUI-01) , 1-8, Santa Fe, NM, January 14-17, 2001. Allen, J. F., N. Blaylock, et al. (2006). " Chester: Towards a personal medical advisor ." Biomedical informatics 39(5): 500-513. Allen, J. F., N. Chambers, et al. (2007). PLOW: A collaborative task learning agent . Named Best Paper, National Conference on Artificial Intelligence (AAAI). Vancouver, BC Broad-coverage Deep Language Understanding For over a decade we have been developing a broad-coverage, domain general natural language parsing system. While it has been constructed in a application-driven manner, with extensions motivated by particular problems in practice, the grammar and lexicon are all designed to be domain-general. We have only one grammar and lexicon that is used is all our different applications. As a result, when we start a new project, we already have a sophisticated language processing system in place at the start of the project, and have no need to collect and anotate corpora in order to get a high performance system. The parser produces a rich semantic representation of sentences suitable for discourse reasonin such as reference resolution and intention recognition. The parser produces logical forms using a generic ontology (the LF ontology) and we have a set of ontology-mapping tools that allows us to map to the target ontology/representation of each application. Feel free to try out the TRIPS Parser . The basic ideas underlying the grammar and parser are best described in my book Natural Language Understanding, 2nd edition . Specific details on the actual system, its uses and evaluations, are found in the references below. Selected Publications on Deep Language Understanding Allen, J.F. Natural Language Understanding , Benjamin Cummings, 1987, Second Edition, 1994. Allen, J.F. ``Natural Language, Knowledge Representation and Logical Form.'' In M. Bates, R. Weischedel (eds.), Challenges in Natural Language Processing, Cambridge University Press, 1993. Swift, M. D., J. F. Allen, et al. (2004). Skeletons in the parser: Using a shallow parser to improve deep parsing . COLING '04, Geneva, Switzerland. Dzikovska, M., M. Swift, et al. (2005). Generic parsing for multi-domain semantic interpretation . International Workshop on Parsing Technologies (Iwpt05), Vancouver BC. Allen, J. F., M. Dzikovska, et al. (2007). Deep linguistic processing for spoken dialogue systems . Workshop on Deep Linguistic Processing, Association for Computational Linguistics. Prague Dzikovska, M., J. F. Allen, et al. (2007). "Linking Semantic and Knowledge Representation in a Multi-Domain Dialogue System." Logic and Computation 18(3): 405-430. Manshadi, M. H., J. F. Allen, et al. (2008). Towards a Universal Underspecified Semantic Representation. 13th Conf. on Formal Grammar. Hamburg, Germany Allen, J., M. Swift, et al. (2008). Deep Semantic Analysis of Text . Symposium on Semantics in Systems for Text Processing (STEP). Venice, Italy. Reasoning About Action and Time The research in plan reasoning draws much of its motivation from the dialog work. In particular, the representation of plans must support a wide range of different forms of reasoning: plan construction (i.e. traditional planning), plan recognition, plan evaluation, and the communication of plans between agents. Much of our work in this area has focused on the representation of time and action, and we have reformulated the planning problem as a problem in temporal reasoning. Within this framework, we have developed a representation of plans that is temporally explicit and supports plan construction, recognition and communication. We are also exploring methods of temporal reasoning that are viable even with large data sets of temporal information. Selected Publications on Temporal Reasoning Allen, J.F. ``Maintaining Knowledge about Temporal Intervals.'' Communications of the ACM 26, 11, 832-843, November 1983. Allen, J.F. ``A General Model of Action and Time.'' Artificial Intelligence 23, 2, July 1984. Allen, J.F. and P.J. Hayes. ``Moments and Points in an Interval-Based Temporal Logic.'' Computational Intelligence, January 1990. Allen, J.F. "Time and time again: The many ways to represent time" Int'l. Jr. of Intelligent Systems 6, 4, 341-356, July 1991. ps Allen, J.F. and Ferguson, G. Actions and Events in Interval Temporal Logic , J. Logic and Computation 4, 5, 1994. Selected Publications on Plan Reasoning Kautz, H. and Allen, J.F. "Generalized Plan Recognition" In Proc., Proc., AAAI Nat'l. Conf. on Artificial Intelligence, Philadelphia, PA, 1986 Allen, J.F. Planning as Temporal Reasoning . In Proc., 2nd Principles of Knowledge Representation and Reasoning, Morgan Kaufmann, 1991. Allen, J. and J. A. Koomen (1983). Planning using a Temporal World Model. 8th Int'l. Joint Conference on Artificial Intelligence, Karlsruhe, Germany. Allen, J.F. et al. Reasoning About Plans , Morgan Kaufmann, 1991. Allen, J., N. Blaylock, et al. (2002). A Problem Solving Model for Collaborative Agents. 1st Int'l. Joint Conf. on Autonomous Agents and Multi-Agent Systems (AAMAS-02), Bologna, Italy, ACM Press.[ PDF ] Blaylock, N. and J. F. Allen (2006). Fast hierarchical goal schema recognition. 21st National Conference on Artificial Intelligence (AAAI-06), Boston.[ pdf ] Back to URCS Faculty directory Back to URCS Home Page diff --git a/src/data/compiled_bios/4737.txt b/src/data/compiled_bios/4737.txt new file mode 100644 index 0000000000..161f2b86f4 --- /dev/null +++ b/src/data/compiled_bios/4737.txt @@ -0,0 +1 @@ + Menu Home Publications CV Teaching Search Search Zhen Bai Home zbai at cs.rochester.edu (585) 275-7747 3007 Wegmans Hall Dept. of Computer Science University of Rochester I am an Assistant Professor in the ROCHCI group in the Department of Computer Science, University of Rochester. My research focuses on creating embodied and intelligent interfaces that transcend learning, communication and wellbeing for people with diverse abilities and backgrounds. Research fields that I have explored so far include human-computer interaction, augmented reality, tangible user interface, embodied conversational agent, technology-enhanced collaborative learning, and assistive technology. My work is published in premier human-computer interaction and learning science conferences such as CHI, ISMAR, IDC, IVA, and AIED, with two best paper nomination awards. I received my Ph.D. degree from the Graphics & Interaction Group at the University of Cambridge in 2015 and was a postdoctoral fellow of the Human-Computer Interaction Institute and Language Technology Institute at Carnegie Mellon University before joining the University of Rochester . Work with me I am recruiting PhD students to work with me from Fall 2019. I am particularly looking for students who are passionate about designing and building future user interfaces to improve learning (e.g. STEM, social-emotional learning) and quality of life (e.g. people with disabilities, elderly), with solid computer programming skills,experience in user interface design and/or evaluation. Experience in (one or more of) 3D user interfaces, game development, embedded systems, machine learning, natural language processing and computer vision is preferred. Please dont hesitate to contact me if you would like to discuss potential research opportunities. For more information, see https://zhenbai.io/prospective-students Selected Projects Most of my projects focus on creating playful and collaborative interfaces that cultivate the development of imaginative, social and curious minds for a wide range of ages, abilities and backgrounds. To address the situatedness and embodiment of cognition in social contexts, I explore the design space spanning augmented reality, tangible user interfaces, and embodied conversational agent, and embrace interdisciplinary theories and technologies in machine learning, natural language processing, computer vision, and theories in cognitive, social, and learning sciences. Can a Child-like Virtual Peer Elicit Curiosity in Small Group Learning? [ IVA'18 ] We developed an intelligent virtual child as a peer collaborator to elicit curiosity in a multiparty educational game called Outbreak with children in 5th and 6th grade. We applied a child-centered data-driven approach to design a virtual child who is age appropriate, gender and race ambiguous, and demonstrates co-equal intelligence and behaviors to the target child group. Being an equal peer is essential to elicit cognitive dissonance to evoke curiosity as children tend to challenge and compare each others ideas but may simply accept adults ideas due to their high knowledge authority. Can Social Interaction Foster Curiosity? [ ECTEL17a ] [ ECTEL17b ] [ AIED'18 ] Curiosity is an intrinsic motivation for knowledge seeking and a vital socio-emotional learning skill that promotes academic performance and lifelong learning. Social interaction plays an important role in learning, but the social account of curiosity is largely unexplored. We developed a comprehensive theoretical framework of curiosity in social contexts using a theory-driven approach based on psychology, learning sciences and group dynamics, and a data-driven approach based on empirical observation of small-group science activity in the lab, STEM classrooms and informal learning environments for children aged 9-14 years old from underrepresented groups in STEM education. Furthermore, we developed a computational model, using sequential behavior pattern mining, that can predict the dynamics of curiosity including instantaneous changes in individual curiosity and convergence of curiosity across group members Can AR Storytelling Enhance Theory of Mind? [ CHI'15 ] Social play with imaginary characters and other playmates helps children develop a key socio-cognitive ability called theory of mind, which enables them to understand their own and other people's thoughts and feelings. In this project, I developed a collaborative Augmented Reality storytelling system that supports divergent thinking, emotion reasoning and communication through enhanced emotion and pretense enactment. Can Pretense be Externalized through an AR Looking Glass? [ ISMAR13 ] [ TVCG'15 ] Children with autism spectrum condition often experience difficulty in engaging in pretend play, which is a common childhood activity that scaffolds key cognitive and social development such as language, social reasoning and communication. In this project, I developed the first Augmented Reality system that supports preschool children diagnosed with high functioning autism to conceptualize symbolic thinking and mental flexibility in a visual and tangible way. 2018 Zhen Bai diff --git a/src/data/compiled_bios/4738.txt b/src/data/compiled_bios/4738.txt new file mode 100644 index 0000000000..adcf9f5df3 --- /dev/null +++ b/src/data/compiled_bios/4738.txt @@ -0,0 +1 @@ + John Criswell Menu Biography Research Projects Teaching Service Students Publications Links Biography John Criswell is an assistant professor in the Department of Computer Science at the University of Rochester . His research interests focus on computer security and automatic compiler transformations that can be used to enforce security policies on commodity software. Prior to joining the University of Rochester, John was a research programmer and Ph.D. student in the Department of Computer Science at the University of Illinois at Urbana-Champaign. John's primary research work is on the Secure Virtual Architecture (SVA) . SVA enforces security policies on commodity operating system kernels. John's previous work used SVA to protect the Linux and FreeBSD operating system kernels from attack. John also developed a system named Virtual Ghost that protects applications from a compromised operating system kernel. John is also the lead developer of the open-source SAFECode memory safety compiler (which enforces memory safety guarantees on application code). In addition to his work on SVA and SAFECode, John has contributed to the open-source LLVM Compiler Infrastructure . John has also worked for FireEye and Argus Systems Group (now owned by General Dynamics ). For his work on the Secure Virtual Architecture, John has been awarded an Honorable Mention for the 2014 ACM Doctoral Dissertation Award , the Honorable Mention for the 2014 ACM SIGOPS Dennis M. Ritchie Doctoral Dissertation Award , and the 2015 David J. Kuck Outstanding Ph.D. Thesis Award. Prospective Students I'm currently looking for graduate students interested in doing research in computer security, compilers, and/or operating systems. I can also offer independent study to graduate and undergraduate students. I'm especially interested in work on metrics for measuring security, automatic protections against attacks (using either compiler instrumentation or operating system techniques), and operating system enhancements that reduce a system's attack surface. Prospective students can email me at my Rochester CS email address or drop by my office (Wegmans Hall 3405). If sending email, please add the text "Prospective Student" to your email's subject line. 2013-2018 John T Criswell website templates by styleshout Home | XHTML | CSS diff --git a/src/data/compiled_bios/4739.txt b/src/data/compiled_bios/4739.txt new file mode 100644 index 0000000000..85d907a35a --- /dev/null +++ b/src/data/compiled_bios/4739.txt @@ -0,0 +1 @@ + Woods Library, Canandaigua (October 2011, thanks to Peter Keng) 2004 Portrait by Yawen Ding Chen Ding Professor Computer Science Department ( why UR ) University of Rochester Rochester, New York ( wonder about weather? ) Ph.D. Rice 2000, M.S. MTU 1996, B.S. Beijing U. 1994 Email: cding@cs.rochester.edu Due to a recent change of policy, some of the contents linked from my page are no longer visible outside the university network. I am working to restoring the outside access and apologize for the inconvenience. Short Bio Chen Ding's research seeks to understand the composite and emergent behavior in computer systems especially its dynamic parallelism and data usage and develop software techniques for automatic or suggestion-based locality optimization, memory management, and program parallelization. His work received young investigator awards from NSF and DOE. He co-founded the ACM SIGPLAN Workshop on Memory System Performance and Correctness (MSPC) and was a visiting researcher at Microsoft Research and a visiting professor at MIT. He is also an IBM Center for Advanced Studies Faculty Fellow. He teaches compilation, programming languages, software design and computer organization. Research ( list of projects , list of publications , prior work , funding sources ) Locality theory A higher order theory of locality (HOTL) [PPOPP'17, MEMSYS'16 (Chen et al.), USENIX'16, JCST'14, tool download , ASPLOS'13 ( slides ), MSPC'12 ] and its applications [MEMSYS'16 (Brock et al.), INFLOW'16, USENIX'15, ICPP'15, IJPP'15] Optimal collaborative caching [ ISMM'13 , ISMM'12 , ISMM'11a , LCPC'08 ] Reference affinity hierarchy [POPL'06, PLDI'04] Whole-program locality (and reuse-distance measurements) [POPL'07, TOC'07, PLDI'03, PACT'03, LACSI'03, TR 875] Locality optimization Program symbiosis in cache [ CCGrid'15 , CCGrid'12a , PACT'11 , PPOPP'11 , PPOPP'08 (poster) ] Peer-aware optimization: code [ ICPP'14 ], data [ CGO'13 ( slides ), Bao dissertation ] Compiler optimization: global cache reuse [ICS'05, JPDC'04, IPDPS'01, IPDPS'00, LCPC'99] , dynamic cache reuse [MSP'02, PLDI'99] A component model of spatial locality [ ISMM'09 ] Locality phase hierarchy [ JPDC'07 , ExpCS'07 , MSP'05 , ASPLOS'04 , LCPC'04 ] Memory management A higher order theory of memory demand (HOTM) [ISMM'16 (Li et al.), ISMM'14 ] Resource-based memory management [ ISMM'11b , ISMM'06 ] Parallel programming BOP : Parallel programming by hints [ OOPSLA'11 , PPoPP'11 poster , TR952 , TR948 , PPoPP'10 poster , PLDI'07 ] Message passing support: Delta send/recv [CCGrid'12b] , Multiphysics AMR [ CoRR'11 ] FastTrack : Suggestible program optimization [CGO'09] Other studies [ICPP'04, PACT'04, SC'04, EuroPar'97, HICSS'96] Related link Reuse distance based SLO (suggestions of locality optimizations) tool by Kristof Beyls and Eric D'Hollander. Teaching ( previously taught courses ) See roclocality.org (posts tagged teaching and course number) for course web pages with basic information and learn.rochester.edu for course content including announcements, handouts, and assignments. Software Tools The Loca tool for locality measurement (reuse distance, footprint and miss ratio curve) Service Conference/workshop/journal committees ICS'19 (pc co-chair), SC'19, CGO'19, PLDI'19 (ERC), PMAM'19, ICS'18 , LCPC'18, ASPLOS'18, HPCA'18 (ERC), LCPC'17 , ICS'17 , ISMM'17 , ASPLOS'17, LCPC'16 (co-chair, photos ), PACT'16, ASPLOS'16, SC'15, ICPP'15, ACM TACO 2.0 (2014-16) , CDP14 (chair), PPOPP15 (ERC) , PLDI15 (ERC) , ASPLOS15 (ERC) , CCGrid15 , PMAM14 , PACT14 , PPOPP14 , IPDPS14 , ASPLOS14 (ERC) , IPDPS13 , ICPP12 , ISMM12 , IPDPS12 , PLDI12 (ERC) , ASPLOS12 (ERC) , IPDPS11 , PPOPP11 , NPC10 (program chair) , AMP10 , PLDI10 (publicity chair) , IPDPS10 , PACT09 , ICPP08 , HIPS07 (workshop chair) , CC07 , HPCC06 , PACT06 , ASPLOS06 (publication chair) , WMPI06 , PLDI05 , CGO05 , PPoPP05 (treasurer/registration chair) , CDP05 , ICPP04 (vice chair, lang./compiler cfp ) , CDP04 , MSP04 (general chair, on-line proceedings ) , IPDPS04 , ICPP03 , PACT02 (tutorial/workshop co-chair) , MSP02 (co-organizer) ACM SIGPLAN Workshop on Memory System Performance and Correctness (MSPC) (steering committee) , 2008 , 2006 , 2005 , 2004 , and 2002 ( proceedings ) Departmental URCS Seminars 06-07 , 05-06 , 04-05 . Annual 2-mile river run 2006 to 2010 , 2005 . Tutorial Program locality models and their use in memory performance optimization, September 2005, PACT'05, St. Louis MO and October 2004, ASPLOS'04, Boston MA Other interests Chinese blog Chinese Choral Society of Rochester (CCSR) Chorus , conducted by Ming-Lun Lee . Recorded during the 2012 annual concert: Our song and Song of Rochester , David Chin conducting My bilingual (Chinese-English) page ( simplified Chinese last updated August, 2014 , traditional Chinese dated ) cding@cs.rochester.edu Last modified: Tue Nov 13 19:02:04 EST 2018 diff --git a/src/data/compiled_bios/474.txt b/src/data/compiled_bios/474.txt new file mode 100644 index 0000000000..406e27e1b3 --- /dev/null +++ b/src/data/compiled_bios/474.txt @@ -0,0 +1 @@ +Ben Y. Zhao CV Bio Publications SAND Lab Professional Press Students ravenben+www at cs dot uchicago dot edu Twitter, Facebook, Quora, Linkedin. News in Last 12 Months Dec 2018: SAND Lab gets new logo! Finally! Dec 2018: Bolun defends his PhD! We\'ll miss you, good luck! Nov 2018: Oakland 2019 paper on detecting/reverse engineering and cleaning backdoors in DNNs Nov 2018: NSDI 2020 TPC (heavy) Oct 2018: SIGCOMM 2019 TPC (heavy) Sept 2018: APNet 2019 TPC Sept 2018: ICWSM 2018 Senior PC/Editor Sept 2018: UChicago Magazine on Data Mind August 2018: CSCW paper on zero-incentive location check-ins July 2018: Congrats to Zhijing for IMC paper on fault analysis in NFV June 2018: WWW 2019 Senior TPC May 2018: WSDM 2019 Senior TPC May 2018: joint project w/ UCB, Stanford & UIUC funded by DARPA! on defending social engineering attacks May 2018: Congrats to Prof. Viswanath! Bimal accepted offer to join Virginia Tech as Assistant Professor! May 2018: Congrats to Bolun, Yuanshun and Bimal for USENIX Security paper on attacks against transfer learning March 29 2018: On Chicago Tonight talking about Facebook and data privacy March 2018: ASPLOS 2018 "Influential Paper Award" for OceanStore paper, ASPLOS 2000 March 2018: CoNext 2018 TPC March 2018: on ML/AI panel @NICAR Feb 27 2018: On Chicago Tonight talking about advances in AI/ML and misuse Feb 2018: PETS 2019 TPC Feb 2018: HotNets 2018 TPC Feb 2018: Gave keynote on Machine Altered Reality @MIS2/WSDM Jan 31 2018: I was on Chicago Tonight talking about fake accounts on social networks Dec 2017: ICWSM 2018 Senior TPC Nov 2017: PC Chair IMC 2018 Nov 2017: Bolun signs offer from the dark side Facebook. Congrats Bolun! CODE Clickstream modeling code here Measurement-calibrated graphs here Embedding graph coordinate systems here Contact info Lab: 377 Crerar Office: 369 Crerar 5730 S. Ellis Ave, University of Chicago Chicago, IL 60637 Travel/Deadlines (UChicago Calendar) Feb 24-27, 2019, San Diego CA, NDSS May 2, 2019, Boston, Sigcomm TPC CFP: Oakland, 1st of every month Other Stuff Google Scholar (~26,000), H-index: 63 Erdos # = 3 (Erdos-M. Saks-K. Hildrum-B. Y. Zhao) This page, circa 2011 I am Neubauer Professor of Computer Science at University of Chicago. My research covers a range of topics from large-distributed networks and systems, HCI, security and privacy, and wireless / mobile systems, mostly from a data-driven perspective. My current projects are focused on three areas: data-driven models of user behavior/interactions, security of online and mobile communities, and wireless systems and protocols. My work targets a range of top conferences, including WWW/IMC, UsenixSecurity/NDSS/S&P/CCS, CHI/CSCW, and Mobicom/SIGCOMM/NSDI. Here\'s a wordle of my paper abstracts from 2017-2018. Together with Prof. Heather Zheng, I co-direct the SAND Lab (Systems, Algorithms, Networking and Data) at University of Chicago. I received my PhD in Computer Science from UC Berkeley in 2004, where I was advised by John Kubiatowicz and Anthony Joseph, and created the Tapestry distributed hash table (dissertation). I received my MS from Berkeley in 2000, and my BS in computer science from Yale in 1997. I am an ACM Distinguished Scientist, a recipient of the National Science Foundation\'s CAREER award (2005), MIT Tech Review\'s TR-35 Award (Young Innovators Under 35) (2006), IEEE Internet Technical Committee\'s Early Career Award (2014), and one of ComputerWorld\'s Top 40 Technology Innovators under 40. My papers have somewhere around 26,000 citations and an H-index of 63 (for whatever that\'s worth). Teaching Winter 2019: M/W 2:00-3:20PM, Saieh (SHFE) 021, CS 23280/Econ 23040 (Cryptocurrencies), a new course co-taught with David Cash (CS) and Harald Uhlig (Economics). This course will cover both the computer science aspects and economic aspects of cryptocurrencies. Topics to be discussed will include network and system building blocks, consensus protocols, cryptographic algorithms, security and privacy issues, pricing of cryptocurrencies, bubbles, monetary policy issues and regulatory concerns. Winter 2019: Tu/Th 11AM-12:20AM, Hinds (HGS) 180, CS 35401 (Special Topics/Seminar: Applied Machine Learning). We will cover recent research in applied machine learning and systems, particularly with respect to questions of robustness and resilience against attacks on deep learning systems. Students will present papers, lead discussion, and run open ended projects related to the topic. Press/Media A collection of recent news and media coverage of our research is here. Active data mining/OSN project pages: Clickstream behavior models, Graph Coordinate Systems, Graph Modeling/Generation, Social Network Measurement/Analysis, Detection of Social Spam and Fake Users (Sybils) I\'m always looking for bright PhD students!! I\'m always interested in self-driven/passionate students who want to work on high impact projects and have fun doing it. UChicago is a fantastic place to do a PhD, and we\'re constantly making improvements. To find out a bit more about me as an advisor, and my views on everything from students to research and the meaning of life, you can read some of my posts on Quora, where I\'ve been "Top Writer" since 2014. Email me to get on my radar, and mention me (or Heather) in your application. I read all my emails. But due to the volume of these requests, I might not be able to reply to your email. UChicago Undergraduates interested in research? I generally advise 1-3 undergraduates in my lab in active research (we have 6 already in 2017-8). If you\'re interested in working in my lab as an undergrad, drop by my lab at 203A Searle and we\'ll talk! Generally speaking, the best way to join my lab as an undergrad is to take and do well in my courses in networking or applied ML, Copyright SAND Lab, UChicago css design: Luka Cvrk.The SAND Lab is grateful for research support from DARPA, NSF, Google, Cisco, HP labs, Amazon and NVidia. diff --git a/src/data/compiled_bios/4740.txt b/src/data/compiled_bios/4740.txt new file mode 100644 index 0000000000..d1c724795f --- /dev/null +++ b/src/data/compiled_bios/4740.txt @@ -0,0 +1 @@ + Sandhya Dwarkadas Albert Arendt Hopeman Professor of Engineering Professor and Chair, Department of Computer Science ACM and IEEE Fellow for contributions to shared memory and reconfigurability Professor, Department of Electrical and Computer Engineering Hajim School of Engineering and Applied Sciences University of Rochester Rochester, NY 14627-0226 sandhya at cs rochester edu Phone (585) 275-5647; FAX 273-4556 Publications Professional Activities Recent Talks Interview by CRA-W (Summer/Fall 2016 Newsletter) Research Projects CoSyn: Communication and Synchronization Mechanisms for Emerging Multi-Core Processors InterWeave: A Middleware System for Distributed Shared State CASHMERE: Coherent Shared Memory for Next-Generation Networks and Multiprocessors InterAct: Distributed Shared State for Interactive Applications ARCH: Architecture, Runtime, and Compiler Integration for High-Performance Computing Complexity-Adaptive Processing for high-performance, low-power microprocessors Dynamically Tunable Clustered Multithreaded (DT-CMT) Architectures Teaching Fall 2018 - Operating Systems - CSC 256/456 Fall 2016 - Computer Networks - CSC257/457 Spring 2016 - Parallel and Distributed Systems - CSC 258/458 Spring 2012 - Seminar on Pervasive Parallelism - CSC 572 Spring 2010 - Computer Organization - CSC252 Spring 2008 - Computer Organization - CSC252 Fall 2006 - Computation and Formal Systems - CSC 173 Spring 2006 - Seminar on the Future of Parallelism - CSC 573 Fall 2003 - Programming Language Design and Implementation - CSC 254 Fall 2001 - Computer Networks - CSC257/457 Spring 2000 - Computer Organization - CSC252 Fall '99 - Seminar around Linux Internals - CSC573 CRA-W Graduate Cohort presentation: Ph.D. Proposal Writing (February, 2005) CRA-W Graduate Cohort presentation: Presentation Skills (March, 2009) RIT Computer Science Seminar Series presentation on Parallel Computing (29th April, 1998) Physics/LLE Department Presentation on Cashmere (June, 1999) Slides for SDSM as a Parallelizing Compiler Target Current Graduate Students Xiaowan Dong Sharanyan Srikanthan Sayak Chakraborti Mohsen Mohammadi Amir Taherin Ph.D. Graduates Hongzhou Zhao ``Application-Directed Cache Coherence Design'' , 2013, first position at NVidia. Arrvindh Shriraman ``Architectural Techniques for Memory Oversight in Multiprocessors'' , 2010, first position at Simon Fraser University. Hemayet Hossain ``Effective On-Chip Cache Utilization in Chip Multiprocessors'' , 2010, first position at NVidia. Xiao Zhang ``Operating System-Level On-Chip Resource Management in The Multicore Era'' , 2010, first position at Google, Inc. Chunqiang Tang ``Data Sharing and Information Retrieval in Heterogeneous Distributed Systems'', 2004, first position at IBM T. J. Watson Research Center Umit Rencuzogullari ``Dynamic Resource Management for Parallel Applications in an Autonomous Cluster of Workstations'', 2004, first position at VMware, Inc. DeQing (Luke) Chen , ``Multi-Level Shared State and Application Specific Coherence Models'', 2004, first position at Ask Jeeves, Inc. Rajeev Balasubramonian , ``Dynamic Management of Microarchitecture Resources in Future Microprocessors'', 2003, first position at University of Utah. Srinivasan Parthasarathy , ``Active Data Mining in a Distributed Setting,'' 1999, first position at Ohio State University. Former M.S. Students Amin Mosayyebzadeh (2018) Qiyuan Qiu (2016) Chao Li (2015) Shantonu Hossain (2013) Rongrong Zhong (2010) Nitin Bhardwaj (2008) Shivashankar Balu (2006) Rajeev Garg (2005) Sotiris Ioannidis (1999) Nikolaos Hardavellas (1997) Brief Bio Sandhya Dwarkadas is the Albert Arendt Hopeman Professor of Engineering, and Professor and Chair of Computer Science with a secondary appointment in Electrical and Computer Engineering, at University of Rochester, where she has been on the faculty since 1996. She received the B.Tech. degree from the Indian Institute of Technology, Madras, India, in 1986, and the M.S. and Ph.D. degrees from Rice University in 1989 and 1993, respectively. She is a fellow of the ACM and IEEE. Her areas of research interest include parallel and distributed computing, computer architecture, and the interaction and interface between the compiler, runtime/operating system, and underlying architecture. Her research lies at the intersection of computer hardware and software with a particular focus on support for parallelism. She has made fundamental contributions to the design and implementation of shared memory both in hardware and software, and to hardware and software energy- and resource-aware configurability. Back to URCS Faculty directory Back to URCS Home Page diff --git a/src/data/compiled_bios/4741.txt b/src/data/compiled_bios/4741.txt new file mode 100644 index 0000000000..d009e12279 --- /dev/null +++ b/src/data/compiled_bios/4741.txt @@ -0,0 +1 @@ + George Ferguson @ URCS George Ferguson, Ph.D. Associate Professor (Instruction) Co-Director of Undergraduate Program Wegmans Hall 2103 Dept. of Computer Science University of Rochester Rochester, NY USA 14627-0226 tel: 585-275-5766 fax: 585-473-4556 ferguson@cs.rochester.edu http://www.cs.rochester.edu/u/ferguson Teaching Present: CSC173: Computation and Formal Systems CSC242: Intro to Artificial Intelligence Office hours for Spring 2019 (starting Jan 15): Tue 1105-1220, Wed 1315-1430) For technical questions, go to lab/workshop/study session BEFORE coming to office hours. Past: CSC171: Intro to Computer Science CSC173: Computation and Formal Systems CSC242: Intro to Artificial Intelligence DMS371/2/3: Junior & Senior Capstones DMS102: Intro to Computing and Multimedia CSC170: Web Programming No expiration date: Required reading/viewing for students of Computer Science C for Java Programmers C for Java Programmers: Tutorial Eclipse for C Programming Using Linux (including via Docker) Research From 1989 to 2013, I was part of a fantastic inter-disciplinary team working at the intersection of Cognitive Science and Computer Science. We developed Intelligent Conversational Assistants based on deep, formal models of natural language understanding and collaboration. We applied these to problems ranging from logistics to health care to command and control. Expertise : Artificial intelligence; Intelligent agents: agent communication languages, agent architectures; User interfaces: speech recognition, natural language understanding, dialogue, conversational agents; User-centered design; Temporal reasoning: representation, planning, scheduling; Semantic web: ontologies, knowledge-based systems; Medical informatics: electronic medical records, personal health records, self-care technologies. Publications Project Gallery CV Be conservative in what you do, be liberal in what you accept from others. Jon Postel (ed.), RFC 793: Transmision Control Protocol (TCP) Specification , Sept. 1981 When a ball dreams, it dreams it is a frisbee. nick@en.ecn.purdue.edu from rec.sport.disc Department of Computer Science University of Rochester Wegmans Hall 250 Hutchison Rd P.O. Box 270226 Rochester, NY 14627 tel: 585 275-5671 fax: 585 273-4556 info@cs.rochester.edu Hajim School of Engineering and Applied Sciences diff --git a/src/data/compiled_bios/4742.txt b/src/data/compiled_bios/4742.txt new file mode 100644 index 0000000000..af082841e6 --- /dev/null +++ b/src/data/compiled_bios/4742.txt @@ -0,0 +1 @@ + Daniel Gildea Professor, Computer Science, University of Rochester. Member, Center for Language Sciences and Institute for Data Science . 3019 Wegmans Hall office hours: 1-2pm Tu/Th I'm interested in statistical approaches to natural language processing, in particular for the tasks of machine translation and language understanding. CV [ pdf ] Teaching Spring 2019: 246/446 Machine Learning previous courses Research See my group and publications . Here are some recent papers: Semantic Neural Machine Translation using AMR , Linfeng Song, Daniel Gildea, Yue Zhang, Zhiguo Wang, and Jinsong Su. Transactions of the Association for Computational Linguistics (TACL) , 2019. [ bib ] Weighted DAG Automata for Semantic Graphs , David Chiang, Frank Drewes, Daniel Gildea, Adam Lopez, and Giorgio Satta. Computational Linguistics , 44(1):119186, 2018. [ bib ] Cache Transition Systems for Graph Parsing , Daniel Gildea, Giorgio Satta, and Xiaochang Peng. Computational Linguistics , 44(1):85118, 2018. [ bib ] A Notion of Semantic Coherence for Underspecified Semantic Representation , Mehdi Manshadi, Daniel Gildea, and James F. Allen. Computational Linguistics , 44(1):3983, 2018. [ bib ] Automated Analysis and Prediction of Job Interview Performance , Iftekhar Naim, Mohammad Iftekhar Tanveer, Daniel Gildea, and Mohammed (Ehsan) Hoque. IEEE Transactions on Affective Computing , 9(2):191204, April 2018. [ bib ] Feature-based Decipherment for Machine Translation , Iftekhar Naim, Parker Riley, and Daniel Gildea. Computational Linguistics , 44(3):525546, 2018. [ bib ] AMR Parsing with Cache Transition Systems , Xiaochang Peng, Daniel Gildea, and Giorgio Satta. In Proceedings of the National Conference on Artificial Intelligence (AAAI-18) , 2018. [ bib ] Sequence-to-sequence Models for Cache Transition Systems , Xiaochang Peng, Linfeng Song, Daniel Gildea, and Giorgio Satta. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL-18) , pp. 18421852, 2018. [ bib ] Orthographic Features for Bilingual Lexicon Induction , Parker Riley and Daniel Gildea. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics , pp. 390394, 2018. [ bib ] A Graph-to-Sequence Model for AMR-to-Text Generation , Linfeng Song, Yue Zhang, Zhiguo Wang, and Daniel Gildea. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (ACL-18) , pp. 18421852, 2018. [ bib ] gildea @ cs rochester edu January 14, 2019 diff --git a/src/data/compiled_bios/4743.txt b/src/data/compiled_bios/4743.txt new file mode 100644 index 0000000000..547fa9529b --- /dev/null +++ b/src/data/compiled_bios/4743.txt @@ -0,0 +1 @@ + Lane is on sabbatical. Click the following link to find the answer to: Why didn't Lane answer my email? (Note: Lane's regular web page can be seen by scrolling down this page.) The professors Hemaspaandra (Lane of URCS, left; Edith of RIT-CS, right), on their 41st Adirondack mountaintop, demonstrating the power of nonunary encodings Lane A. Hemaspaandra Note: Pre-marriage name = Lane A. Hemachandra. Professor Computer Science Department Box 270226 University of Rochester Rochester, NY 14627-0226 Email: ID = lan e.hemaspaandra DOMAIN = ic loud.com Phone +1-585-275-1203 Fax +1-585-273-4556 Education Honors Current Editorial Positions Publications Courses Research Projects Students Posters Other Items Lane'sfirstpointer,1989 Click image to see wordle detail B.S. (summa cum laude), Yale University, Computer Science and Mathematics & Physics, 1981. M.S., Stanford University, Computer Science, 1982. M.S., Cornell University, Computer Science, 1984. Ph.D., Cornell University, Computer Science, 1987. Lane's interests include computational complexity theory (especially structural complexity theory) and computational social choice theory/algorithmic game theory. Honors: SIGACT Distinguished Service Prize, 2013. Edward Peck Curtis Award for Excellence in Undergraduate Teaching (University of Rochester's university-wide award for undergraduate teaching), 2012. ACM Distinguished Scientist, 2007-.... Friedrich Wilhelm Bessel Research Award, Alexander von Humboldt Foundation, 2006.( Photo of Lane receiving the award from Humboldt Foundation president, Dr. Wolfgang Fruehwald, June, 2007. ) JSPS (Japan Society for the Promotion of Science) Invitational Fellow, 2005. Bridging Fellow (Political Science), University of Rochester, 1994. NSF Presidential Young Investigator, 1989-1995. NSF Research Initiation Award, 1988-1990. Fannie and John Hertz Foundation Fellowship, 1982-1987. Current Editorial Positions: Advisory Board Member, Electronic Proceedings in Theoretical Computer Science Advisory Board Member, Monographs in Theoretical Computer Science Advisory Board Member, Texts in Theoretical Computer Science Editorial Board Member, Computational Complexity Editorial Board Member, Electronic Proceedings in Theoretical Computer Science Editorial Board Member, Frontiers of Computer Science Editorial Board Member, Information and Computation Editorial Board Member, Journal of Universal Computer Science Editor, Complexity Theory Column, SIGACT News Books and Other Publications: Publications : The DBLP's list of, and DBLP's online links to, most of my conference and journal publications . My full publications list (without online links to the papers) as pdf . Almost all the papers on my publication list can be found as online pdf documents in their technical report versions, but where to look for them depends on their year: Reports from 2011 and later (and some but not all earlier ones) can be found as Lane's papers at the arXiv.org CS repository . Reports from 2010 and earlier (and some but not all later ones) can be found in the theory section of the UR CS technical reports archive . Book: The Complexity Theory Companion (Hemaspaandra and Ogihara, Springer-Verlag, 2002(hardcover) and 2010(softcover)). Book: Theory of Semi-Feasible Algorithms (Hemaspaandra and Torenvliet, Springer-Verlag, 2003(hardcover) and 2010(softcover)). Book: Complexity Theory Retrospective II (Hemaspaandra and Selman, eds.) . Ph.D. Thesis: Lane's 1987 Ph.D. Thesis (as a large pdf file) . Current Course: Lane is on sabbatical 20182019. Research Projects: Main Projects: Computational Social Choice Theory and Algorithmic Game Theory Computational Complexity: Reductions, Resources, and Robustness Additional Projects : Counting Classes Cryptography, One-Way Functions, and Pseudorandom Generators Downward Collapses and Query Order Quantum Computing Semi-Feasible Algorithms Sets of Low Information Content Ph.D.s and Postdocs Advised: Prof. Piotr Faliszewski (AGH University of Science and Technology) Dr. Yenjo Han (Oracle) Dr. Harald Hempel (DAKO Systemtechnik und Service GmbH & Co. KG) Prof. Christopher Homan (Rochester Institute of Technology) Dr. Zhigen (Jason) Jiang (Director and Senior Quantitative Finance Manager, Bank of America Merrill Lynch) Dr. Curtis Menton (Google) Prof. Joerg Rothe (University of Duesseldorf) Prof. Riccardo Silvestri (University of Rome "La Sapienza") Dr. Holger Spakowski (predoctoral year) (University of Cape Town) Dr. Mayur Thakur (Managing Director, Goldman Sachs) Prof. Thomas Thierauf (Aalen University) Dr. Rahul Tripathi (Walmart, data science team) Prof. Marius Zimand (Towson University) Other (often Fun) Stuff : Lane and his wife Edith have climbed the 115 major peaks of the Northeastern USA. (So, basically as a corollary, they are also Adirondack 46ers and are in the AMC White Mountain Four Thousand Footer Club .) Posters describing research done by the Lane and his students/collaborators: Control in the Presence of Manipulators: Cooperative and Competitive Cases: view it as pdf . Schulze and Ranked-Pairs Voting Are Fixed-Parameter Tractable to Bribe, Manipulate, and Control: view it as pdf . Control Complexity of Schulze Voting: view it as pdf . Weighted Electoral Control: view it as pdf . The Complexity of Bribery in Elections: view it as powerpoint . Guarantees for the Success Frequency of an Algorithm for Finding Dodgson-Election Winners: view it as powerpoint . Politics Good, Computation Bad (by Chris Homan about our group's Power Index work): view it as pdf . One-Way Functions and Cryptography: view it as powerpoint . Rice-Style Theorems in Complexity Theory: view it as powerpoint . Here are two videos made by Lane for our graduate-student recruiting days: A 12-minute video (in .m4v format) from 2010 (in case it below doesn't have the video ready to roll but rather says that this video is not supported in your browser---I've tested it just on Safari and Firefox and it seems ok in both for me---here is the video as an .m4v download ): A 3-minute video (in .m4v format) from 2016 of Lane proving---very quickly as this was during a "2-Minute Madness" session in which each speaker got only 2 minutes in which to speak---a special case of a theorem from his 1989 Information and Computation paper with Jin-Yi Cai, namely, proving that if there is a polynomial-time function that given any Boolean formula outputs a list of two values one of which is its number of satisfying assignments, then #SAT itself is outright in polynomial time: Your browser does not support the video tag. Color slides from Lane's Talk on Lewis Carroll's 1876 Election System Color presentation (powerpoint) made by Christopher Homan on his paper with Lane on Heuristics for Lewis Carroll's 1876 Election System Web presentation made by Christopher Homan about the paper "Power Balance and Apportionment Algorithms for the United States Congress," L. Hemaspaandra, K. Rajasethupathy, P. Sethupathy, and M. Zimand, ACM Journal of Experimental Algorithmics, V. 3, #1, August 1998. TheoryCanal: The Rochester-Area Theory Seminar Series Theoretical Computer Science Research at URCS A wonderful picture, taken by Yuan Sun in October 2002, of the waterfalls and leaves at Letchworth State Park near Rochester. My student Mayur Thakur's March 15, 2004 Hour-Long Job Talk at University of Missouri at Rolla, Where He Became an Assistant Professor (Warnings: This is a .rm video, and seems to (on my mac) only work if one has RealOne Player and puts it into Theatre or Full-Screen mode; otherwise one doesn't seem to get the picture at all. Also, though the sound starts right away, the picture of Mayur starts only 66 seconds into this one hour video.) Carlson Library CS Resources Page Numbers Are Magic and Fun The Wisdom of Juris Hartmanis (from Upson's Familiar Quotations, 4th Ed.), pages: 1 , 2 , and 3 ; special bonus: see a great man and a statue The Wisdom of John Hopcroft (from Upson's Familiar Quotations, 4th Ed.) . The Wisdom of George Polya . Back to URCS Faculty directory Back to URCS Home Page Last modified: January 14, 2019. diff --git a/src/data/compiled_bios/4744.txt b/src/data/compiled_bios/4744.txt new file mode 100644 index 0000000000..a0f51e2bb9 --- /dev/null +++ b/src/data/compiled_bios/4744.txt @@ -0,0 +1 @@ + E hsan H oque CV | Publications | Teaching | Students | Press | Personal Contact Wegmans Hall #3013 Google Voice: 1-408-mehoque mehoque AT { cs dot rochester dot edu } Twitter: @ehsan_hoque Projects (active) Deception VOICE CoCo: Collaboration Coach ROC Speak Projects (archived) MACH MIT Mood Meter Temporal Modeling of Smiles AudioAnimatronics Speech Therapy Zaca Reykjavik Arts Festival I am an assistant professor of Computer Science and an Asaro-Biggar ('92) Family fellow at the University of Rochester. Since 2018, I have been the interim Director of the Goergen Institute for Data Science . I co-lead the Rochester Human-Computer Interaction (ROC HCI) Group. I received my PhD from Massachusetts Institute of Technology in 2013. Research Statement: My interests span around developing computational tools to recognize the subtle nuances of human communication with a direct application of improving human ability . Current focus: The workforce of the future will have to be creative and innovative, rather than merely good at performing specific tasks. However, many individuals lack these skills, particularly if they suffer from cognitive disabilities or difficulties. Many argue that those skills are either innate or require extensive practice with human experts. We show that using technology we can improve the lives of disadvantaged, ill, disabled and other individuals who struggle with socio-emotional communication, such as those with autism, severe anxiety, neurodegenerative disease, and terminal illness . Other applications include public speaking , job interviews , music training , negotiations , collaborations , and deception . Check out the projects page for more details. My PhD thesis yielded the first scientific evidence that it is possible for humans to improve their socio-emotional skills through a virtual assistant. The project was highlighted by MIT Museum as one of the most unconventional inventions at MIT. Awards Early Career Awards for Scientists and Engineers (ECASE-ARMY) 2019. Press release by UofR NSF CAREER Award 2018 (builds on NSF CRII 2015). Press release by UofR 10 Scientists to Watch (The SN 10) by Science News 2017. Press release by UofR Penn State University Alumni Achievement Award 2017 ( Acceptance speech ) MIT Top 35 Innovators under 35 (TR35) ( 3 Minute Speech at EmTech, Press release by UofR ) World Technology Award 2016 Press release by UofR Google Faculty Research Award ( 2014 , 2016 ) Best Paper Award at the ACM Ubiquitous Computing (UbiComp 2013). Press release by UofR Best Paper Nominations at the IEEE Automated Face and Gesture Recognition (FG 2011) & ACM Intelligent Virtual Agents (IVA 2006) News and Announcements (2018) Our group has been featured by the Computing Community Consortium (CCC) under " Great Innovative Ideas " series. (2018) Co-PI in a $9.2M NIH grant towards establishing a Morris K. Udall Center of Excellence in Parkinson's disease . (2018) Our research on deception gets a shoutout by Newsweek , Dailymail , WXXI , The Times and UofR news . (2018) Vivian Li receives a CRA undergraduate research award honorable mention. Vivian worked in the ROC HCI Lab for two years and helped publish two UbiComp Papers. (2017) Two papers in Affective Computing and Intelligence Interaction (ACII) conference. One of them gets a best paper nomination. (2117) My Ph.D. thesis has resulted in a US patent titled Methods and apparatus for conversation coach (2017) I have been selected as a member of the ACM Future of Computing Academy (FCA) . Press release by UofR (2017) Done with teaching in Spring of 2017. Here is what students were up to. (2017) National Science Foundation Research Experience for Undergraduates (NSF REU) Computational Methods for Understanding Music, Media, and Minds (2016) I have opening for two postdoc positions in the general area of affective computing, network science, and language. Link to postdoc1 , postdoc2 (2016) Our ROC Speak system ( UbiComp 2015 ) has been highlighted by Microsoft as an innovative use of cloud computing . (2015) Co-PI on NSF's inaugural Research Traineeship Award. Press release by NSF (2015) PI for $2.5 M DARPA grant called Communicating w/ Computers (CwC) . Press release by UofR (2015) one of the winners of NSF's inaugural CRII award. (2015) One of the most influential Articles for IEEE Transactions for Affective Computing 2015. Press release by MIT (2015) Provost's Multidisciplinary Award 2015 in collaboration with University of Rochester Medical Center. (2013) Best Paper Award at ACM Pervasive and Ubiquitous Computing (UbiComp) 2013. Press release by MIT Services Associate Editor: IEEE Transactions on Affective Computin g , PACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) , Digital Biomarkers Program Committee Member: UbiComp 2016 , UbiComp 2015 , IUI 2017 , Area Chair FG 2017 , FG 2018 , CHI 2019 Program Chair for IEEE International Conference on Identity, Security and Behavior Analysis (ISBA) , 2017 diff --git a/src/data/compiled_bios/4745.txt b/src/data/compiled_bios/4745.txt new file mode 100644 index 0000000000..8cb697532e --- /dev/null +++ b/src/data/compiled_bios/4745.txt @@ -0,0 +1 @@ + Henry Kautz is serving as Division Director for Information & Intelligent Systems (IIS) at the National Science Foundation. He is a Professor in the Department of Computer Science and was the founding director of the Goergen Institute for Data Science and at the University of Rochester . He been a department head at AT&T Bell Labs in Murray Hill, NJ, and a full professor at the University of Washington, Seattle. In 2010, he was elected President of the Association for Advancement of Artificial Intelligence (AAAI) , and in 2016 was elected Chair of the American Association for the Advancement of Science (AAAS) Section on Information, Computing, and Communication . His research in artificial intelligence, pervasive computing, and healthcare applications has led him to be honored as a Fellow of the AAAS, Fellow of the AAAI, and Fellow of the Association for Computing Machinery (ACM). He has received the IJCAI Computers & Thought Award, the Ubicomp 10-Year Impact Award, the AAAI Classic Paper Award, and the IAAI Deployed Application Award. NSF email: hkautz@nsf.gov Phone: (703) 292-2606 National Science Foundation 2415 Eisenhower Avenue Alexandria, Virginia 22314 UR email: henry.kautz@gmail.com Phone: (585) 275-5671 (main office) Department of Computer Science University of Rochester Box 270226 Rochester, NY 14627 Research Teaching Papers Talks CV Students Goergen Institute for Data Science Personal Pages AI Limericks Google Scholar Mac Utilies IIS Home Page diff --git a/src/data/compiled_bios/4746.txt b/src/data/compiled_bios/4746.txt new file mode 100644 index 0000000000..3ed1319745 --- /dev/null +++ b/src/data/compiled_bios/4746.txt @@ -0,0 +1 @@ + Professor Jiebo Luo Department of Computer Science 611 Computer Studies Building University of Rochester Rochester, NY 14627 Email: username -at- domain.edu where username = jluo, domain = cs.rochester.edu Office: CSB 611 Phone: 585-276-5784 Computer Vision Urban Computing Health & Wellness Analytics Image Retrieval Image Segmentation Scene Classification Big Data Contextual Inference Machine Learning Vision+Language Random Field Photo Collection Multimedia Video Analytics Human-Centered Media & Interaction Mobile Media Location-based service Geo Tagging Action Recognition Heterogeneous Information Networks Social MultimediaData Mining Crowdsourcing Personal Analytics News 12/07/2018: Professor Luo is elevated to Fellow of AAAI ( Association for Advancement of Artificial Intelligence ) for significant contributions to the fields of computer vision and data mining, and particularly pioneering work in on multimodal understanding for sentiment analysis, computational social science, and digital health." 11/01/2018: Professor Luo is elevated to Fellow of ACM ( Association for Computing Machinery ) for contributions to multimedia content analysis and social multimedia informatics. 10/03/2018: The University of Rochester has been selected as a Morris K. Udall Center of Excellence in Parkinson's Disease Research by the National Institute of Neurological Disorders and Stroke (NINDS). The new $9.2 million award brings together researchers from industry and multiple academic institutions to focus on the development of digital tools to enhance understanding of the disease, engage broad populations in research, and accelerate the development of new treatments for Parkinsons disease. Professor Luo will co-lead the Advanced Analytics Core that brings together a team of experts in biostatistics, computational science and mathematics from multiple institutions 09/15/2018: Professor Luo is the recipient of the 2018 IEEE Region 1 Technological Innovation in Academic Award 08/24/2018: Congratulations to Zhengyuan Yang and Yixuan Zhang for winning Best Industrial Related Paper Award at ICPR 2018 for their paper on End-to-end Multi-Modal Multi-Task Vehicle Control for Self-Driving Cars with Visual Perception 08/06/2016: Congratulations to Tianran Hu for being invited to the 2018 ACM Multimedia Doctoral Symposium 06/29/2018: Congratulations to Haofu Liao for being " pre-selected for a student travel award on the basis of the score your paper has obtained during the review process ". Haofu will present two papers (both with early acceptance) at MICCAI 2018 . 06/22/2017: Professor Luo is an invited speaker at CVPR 2018 Workshop on Towards Automatic Understanding of Visual Advertisements 06/21/2017: Professor Luo hosts the 3rd annual "The Vision Seeker" () gathering at CVPR 2018 Scan QR Code via WeChat to follow Official Account 02/13/2018: Professor Luo and multidisciplinary team are featured in a report by the University of Rochester Newscenter, App combines virtual reality with personalized psychotherapy 12/25/2017: Professor Luo is interviewed by Sixthtone in a feature Even Chinas Backwater Cities Are Going Smart which reveals Chinas grand plans for an artificial intelligence rollout of smart cities. 11/22/2017: Prof. Homer Chen visits our lab 10/13/2017: Congrats to newly minted Dr. Yuncheng Li , who has joined Snapchat Research 08/29/2017: Congrats to newly minted Dr. Quanzeng You , who is joining Microsoft Research AI 08/21/2017: Professor Luo is quoted by Market Mogul in a feature Here's How Big Data Transformation Will Sweep Information Sovereignty " 08/14/2017: Professor Luo is interviewed by Bloomberg Technology in a feature Chinas Plan for World Domination in AI Isnt So Crazy After All 07/26/2017: Professor Luo is an invited speaker at CVPR 2017 Workshop on Medical Computer Vision and Health Informatics 07/21/2017: Professor Luo is co-organizing Language and Vision Workshop at CVPR 2017 07/21/2017: Professor Luo is co-teaching CVPR 2017 Tutorial (lecture notes online) on Dealing with Reality: Low-Quality Visual Data Processing and Analytics 05/29/2017: Professor Luo is interviewed by Xinhua News Agency on the heels of AlphaGo's triumph over Ke Jie Spotlight: Artificial intelligence fuels visions of how smart future can be 03/20/2017: Our work on Detecting the Hate Code on Social Media is covered extensively by Geek.com , Vice.com , Digital Trends , MSN , Thestack.com Our work is especially timely given that 1) YouTube is facing a full-scale advertising boycott over hate speech , and 2) Tech Giants Vow to Tackle Online Hate Speech Within 24 Hours 02/24/2017: Professor Luo's Data Mining course was considered "favorite class taken at the University of Rochester" in the Data Science program (Featured Article: Data science for a better planet ) 02/11/2017: National Science Foundation Research Experience for Undergraduates (NSF REU) Computational Methods for Understanding Music, Media, and Minds Please note that the projects are flexible and the current descriptions are meant as examples. 11/07/2016: Professor Luo is a panelist on NPR Radio, WXXI Connection s hosted by Evan Dawson Monthly Science Roundtable Twitter, Social Media and The Election 10/21/2016: Our work on fine-grained recognition of East Asian faces is covered by Washington Post You are welcome to take the Asian Face Challenge at http://www.vista-today.com/asianmyth to help benchmark human recognition performance (currently at 49% with 400+ tests) Another story on NextShark 10/01/2016: Professor Luo speaks at the Huang Symposium @UIUC to celebrate the 80th birthday and extraordinary career of Professor Thomas S. Huang 08/29/2016: Congratulations to Tianran Hu who receives a student travel scholarship to attend CIKM 2016. 07/20/2016: URCS is highly ranked among the Top universities in Artificial Intelligence for the period of 2000-2016 by an objective measure of faculty publications 07/19/2016: URCS is among the Top 20 Artificial Intelligence Engineering Schools in the U.S. 07/01/2016: Congratulations to Quanzeng You for being invited to the 2016 ACM Multimedia Doctoral Symposium with a travel scholarship 06/26/2016: Yiheng Zhou and Numair Sani, our undergraduate researchers, present their work on mining Instagram for illicit drug use patterns at SBP-BRiMS 2016 , supported by student travel scholarship 06/09/2016: Our work on "Will Sanders Supporters Jump Ship to Trump?" is covered by Pacific Standard 05/10/2016: Our work on using AI to hunt drug dealers on Instagram is covered by Daily Dot 05/04/2016: Our work on "Voting with Feet: Who are leaving Hilary Clinton and Donald Trump" is covered by AOL , Daily Dot , LipTV , Pivot America 04/21/2016: Zhishen Pan, a Junior student in the Data Science program, won the Poster Presentation Award at the 2nd Annual Rochester Global Health Symposium & UNYTE Scientific Session: Innovative Solutions to Combat Global Health Disparities for the poster Towards Understanding How News Coverage Affects Public Perception During Epidemic Outbreak. Congratulations! 04/18/2016: Yu Wang receives a student travel scholarship to attend ICWSM-2016 03/29/2016: Congratulations to Yuncheng Li, who has been invited to the CVPR 2016 Doctoral Consortium 03/20/2016: Our work on using Twitter user avatar facial analysis to study Trump and Clinton followers is covered by MIT Technology Review , Digital Trends, Market Exclusive 03/17/2016: Our CVPR 2016 paper - Image Captioning with Semantic Attention - describes the engine behind a system that has been sitting atop the Leader Board for the Microsoft COCO (Common Objects in Context) Image Captioning Challenge since November 2015, beating Google, Microsoft, Baidu/UCLA, Stanford, UC Berkeley, University of Toronto/Montreal , and other power houses. Full Story . 03/16/2016: Our work on detecting drinking-while-tweeting patterns is covered by MIT Technology Review , Gizmodo, CBS News , NPR Weekend Edition , Engadget, and more 02/06/2016: Our work on estimating city air pollution from crowd-sourced photo s is covered by New Scientist Try our demo system . 12/21/2015: Quanzeng You is a Finalist for the inaugural Adobe Research Fellowship 11/01/2015: Our work on using Instagram posts to determine underage drinking patterns has been covered by Innovation Trail , Digital Trends , Democratic and Chronicle , TechRadar , Medical Daily , The Science Explorer , iTech Post 10/01/2015: Yu Wang and Tianran Hu receive student travel scholarships to attend IEEE ICDM 2015 10/02/2015: Data Science Faculty Search (2015-2016): neurally-inspired computing ; computer vision for medicine and humanities 10/01/2015: Yu Wang receives a student travel scholarship to attend IEEE BigData 2015 08/28/2015: Our data-driven study on the influence of fashion shows on everyday trends has been featured by New York Post , Science News, El Pas (major Spanish Newspaper) , MIT Technology Review 08/20/2015: Yuncheng Li et al. win the Best Paper Award at ICIMCS 2015 for the work on Using User Generated Photos to Monitor Air Pollution in Cities 07/20/2015: Deadline of the International Workshop on Social Multimedia Data Mining at ICDM 2015 (Atlantic City) 07/14/2015: Quanzeng You is invited to the 2015 Microsoft Research Asia Ph.D. Forum among "30 of the best Asian Ph.D. students from the Asia-Pacific region and the U.S." 05/15/2015: Prof. Luo is named a Data Science CoE Distinguished Researcher @ Goergen Institute for Data Science 05/12/2015: Tianran Hu receives a student travel scholarship to attend ICWSM-2015 02/15/2015 Our work on computational image sentiment analysi s is covered by Tech Times , Science 2.0 02/03/2015: Communications of ACM coverage of our Non-Obtrusive Mental Health Monitoring work ; also Gizmag 12/15/2014: ICDM Tutorial on " Social Multimedia as Sensors" 12/14/2014: Workshop on Social Multimedia Data Mining at ICDM 2014 12/07/2014: Quanzeng You receives a student travel scholarship to attend AAAI-2015 10/02/2014: Prof. James Rehg visits our lab 08/28/2014: Guess how many students I currently advise? 07/15/2014: 2014 IEEE Multimedia Prize Paper Award 06/28/2014: The New Big Three of Rochester ( Democratic and Chronicle interview) 05/01/2014: How Good is URCS ? (a little known fact that puts us ahead of a perennial top 5 CS department) 12/20/2013: Prof. Roland Goecke visits our lab 10/25/2013: Prof. Bill Freeman visits our lab 10/18/2013: RoCData II (Rochester Big Data Forum) 10/17/2013: Prof. Ruslan Salakhutdinov visits our lab 10/14/2013: Prof. Honglak Lee visits our lab 08/29/2013: Prof. Eckehard Steinbach visits our lab 10/18/2013: RoCData II (Rochester Big Data Forum) 05/15/2013: The TMM Special Issue on "Social Media as Sensors " is complete and in press for August 2013 04/08/2013: A New Publication highlighting Big Dataresearch at the UR 12/31/2012: URCS Faculty Recruiting in HCI and Big Data 10/04/2012: RoCData (Rochester Big Data Forum, speaker list ) 09/19/2012: "Computer Vision with a Third Eye" 09/10/2012: VIStA ( V isual I ntelligence & S ocial Mul t imedia A nalytics) Research Group is formed 02/25/2012: Professor Luo will co-chair the IEEE CVPR 2012 Area Chair meeting in Long Beach, CA. 12/08/2011: Professor Luo will serve on the program committee for both the research track and industry track of the 2012 ACM SIGKDD conference . 09/06/2011: I am looking for two self-motivated PhD students to join my research group in Fall 2012 to work in the areas of computer vision and social media data mining. Applicants are expected to have strong skills in both programming and mathematics. Related research publications in ranked venues of computer vision , machine learning , or data mining is a plus . To apply, check http://www.cs.rochester.edu/education/phd-program. 09/01/2011: Professor Luo joined the CS Department after a prolific career of 15+ years at Kodak Research Labs. 09/01/2011: Professor Luo will co-chair the Third ACM SIGMM Workshop on Social Media (WSM2011) in conjunction with ACM Multimedia 2011. 09/01/2011: A feature article on " Aesthetics and Emotions in Images: A Computational Perspective " is published in the IEEE Signal Processing Magazine . 09/01/2011: A mini book on Interactive Co-segmentation of Objects in Image Collections (SpringerBriefs in Computer Science) by Dhruv Batra, Adarsh Kowdle, Devi Parikh, Jiebo Luo, and Tsuhan Chen is available for pre-order. 04/06/2011: A new book on Social Media Modeling and Computing by Steven C.H. Hoi, Jiebo Luo, Susanne Boll and Dong Xu is published by Springer 03/2011: iCoseg among top downloaded articles from IJCV in the last 30 days. [ Springer Page | Preprint pdf | Project Page ] Biography Jiebo Luo joined the University of Rochester in Fall 2011 after over fifteen prolific years at Kodak Research Laboratories , where he was a Senior Principal Scientist leading research and advanced development. He has been involved in numerous technical conferences, including serving as the program co-chair of ACM Multimedia 2010 , IEEE CVPR 2012 and IEEE ICIP 2017 . He has served on the editorial boards of the IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Multimedia, IEEE Transactions on Circuits and Systems for Video Technology, ACM Transactions on Intelligent Systems and Technology, Pattern Recognition, Machine Vision and Applications, and Journal of Electronic Imaging. Dr. Luo is a Fellow of the SPIE , IAPR , IEEE , ACM , and AAAI . In addition, he is a Board Member of the Greater Rochester Data Science Industry Consortium. His research spans image processing, computer vision, machine learning, data mining, social media, biomedical informatics, and ubiquitous computing. He is a pionneer for contextual inference in semantic understanding of visual data , and social multimedia data mining . He has published extensively in these fields with nearly 400 peer-reviewed technical papers and over 90 US patents . His H-Index is currently 76. Teaching Spring 2012 csc449 Machine Vision Spring 2012 csc249 Machine Vision Fall 2012 csc297 Intro.to Data Mining Fall 2012 csc577 Intro.to Data Mining Spring 2013 csc449 Machine Vision Spring 2013 csc249 Machine Vision Fall 2013 csc297 Intro.to Data Mining Fall 2013 csc577 Intro.to Data Mining Spring 2014 csc449 Machine Vision Spring 2014 csc249 Machine Vision Fall 2014 csc240 Data Mining Fall 2014 csc440 Data Mining Spring 2015 csc249/449 Machine Vision Fall 2015 csc240/440 Data Mining Spring 2016 csc249/449 Machine Vision Fall 2016 CSC240/440 Data Mining Fall 2016 DSC530 METHODS IN DATA-ENABLED RESEARCH INTO HUMAN BEHAVIOR AND ITS COGNITIVE AND NEURAL MECHANISMS Spring 2017 csc249/449 Machine Vision Fall 2017 CSC240/440 Data Mining Research Computer vision : recognition of objects, scenes, people, locations, actions and events from images and video Machine learning : learning with large scale weakly labeled web data, cross-domain learning, active learning Social media data mining : prediction, user profiling, suggestion, and recommendation using open source data Human computer interaction : interactive visual recognition; integration of crowd and machine intelligence Biomedical informatics : healthcare and wellness analytics using text and visual data; surgical video analysis Mobile and pervasive computing : context-aware applications; multimodal inference from multiple sensors Computational photography : computer vision-based 2D/3D enhancement; augmented/mobile reality Major Professional Services IEEE : IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Editorial Board Member (2006-2011) IEEE Transactions on Multimedia (TMM), Editorial Board Member (2004-2008; 2013- ) IEEE Transactions on Circuits and Systems for Video Technology (CSVT), Editorial Board Member (2010-2012) IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Program Co-Chair (2012), Area Chair (2008/2017/2019) IEEE International Conference on Image Processing (ICIP), Program Co-Chair (2017), Area Chair (2008-2012) IEEE International Conference on Acoustics, Speech & Signal Processing (ICASSP), Area Chair (2009-2012) IEEE International Conference on Computer Vision (ICCV), Area Chair (2011) IEEE International Conference on Multimedia and Expo (ICME), Special Sessions Chair (2006), Panel Chair (2018) IEEE Signal Processing Society Technical Committees: MLSP, MMSP (2006-2012), IVMSP (2007-2013) IEEE International Conference on Data Mining (ICDM), Program Committee (2013- ) ACM : ACM Multimedia Conference, General Chair (2018), Program Chair (2010), Workshops Co-Chair (2012), Tutorial Co-Chair (2011) ACM Transactions on Intelligent Systems and Technology, Editorial Board Member (2015-) ACM/IAPR International Conference on Content-based Image and Video Retrieval (CIVR), General Chair (2008) ACM International Conference on Multimedia Retrieval (ICMR), Program Chair (2016) ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Senior PC member (2018) ACM SIGMM Workshop on Social Media (WSM), Founding Chair (2009-2011) ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Program Committee (2012-) ACM Conference on Information and Knowledge Management (CIKM), Program Committee (2013-) ACM International Conference on Multimedia Retrieval (ICMR), Steering Committee (2009-) SPIE : SPIE International Symposium on Visual Communication and Image Processing (VCIP), Co-Chair (2007) General Co-Chair, SPIE International Symposium on Multimedia Systems & Applications (2007) Journal of Electronic Imaging (JEI), Editorial Board Member (2003-2013) IAPR : Pattern Recognition, Editorial Board Member (2002- ) International Conference on Pattern Recognition (ICPR), Area Chair (2014, 2016, 2018) AAAI : International Conference on Artificial Intelligence (AAAI), Program Committee (2013-2015), Senior PC member (2016 - ) International Joint Conference on Artificial Intelligence (IJCAI), Program Committee (2013-), Senior PC member (2015/2018) International Conference on Web and Social Media (ICWSM) , Program Committee (2018), Senior PC member (2019-) NSF : CISE-IIS-RI, panelist CISE-IIS-III, panelist SCH, panelist VEC, panelist CPS, panelist Industry : Board Member, Greater Rochester Data Science Industry Consortium (2018- ) Advisor, Tencent (Youtu) (2017) Distinguished Visiting Professor, Tencent AI Lab (2018) Books Social Media Modeling and Computing (Springer) Interactive Co-segmentation of Objects in Image Collections (SpringerBriefs in Computer Science) Multimedia Interaction and Intelligent User Interfaces (Springer Advances in Computer Vision and Pattern Recognition) Computer Vision [in English] )[ amazon.cn ] Selected Recent Publications ( Publications listed more comprehensively by DBLP ) My Citations survey Aesthetics and Emotions in Images: A Computational Perspective Geotagging in Multimedia and Computer Vision A Survey computer vision, NLP and media understanding 2019 Jingyuan Chen, Lin Ma, Wei Liu, Jiebo Luo, Localizing Natural Language in Videos, The 33rd AAAI Conference on Artificial Intelligence (AAAI) , Honolulu, HI, February 2019. Wenbin Li, Jing Huo, Yinghuan Shi, Yang Guo, Lei Wang, Jiebo Luo, Distribution Consistency based Covariance Metric Networks for Few Shot Learning, The 33rd AAAI Conference on Artificial Intelligence (AAAI) , Honolulu, HI, February 2019. 2018 Qing Li, Jianlong Fu, Dongfei Yu, Tao Mei, Jiebo Luo, Tell-and-Answer: Towards Explainable Visual Question Answering using Attributes and Captions, Conference on Empirical Methods in Natural Language Processing (EMNLP) , Brussels, Belgium, November 2018. (oral presentation) Mingkun Yang, Yongchao Xu, Xiang Bai, Jiebo Luo, Integrating Scene Text and Visual Appearance for Fine-Grained Image Classification, IEEE Access , in IEEE Xplore. Zhengyuan Yang, Yuncheng Li, Jianchao Yang, and Jiebo Luo, Action Recognition with Spatio-Temporal Visual Attention on Skeleton Image Sequences, IEEE Transactions on Circuits and Systems for Video Technology , in IEEE Xplore. Wenbin Li, Jing Huo, Yinghuan Shi, Yang Guo, Lei Wang, Jiebo Luo, A Joint Local and Global Deep Learning Method for Caricature Recognition, Asian Conference on Computer Vision (ACCV), Perth, Australia, December 2018. Haofu Liao, Gareth Funka-Lea, Yefeng Zheng, Kevin Zhou, Jiebo Luo, Face Completion with Semantic Knowledge and Collaborative Adversarial Learning, Asian Conference on Computer Vision (ACCV), Perth, Australia, December 2018. Tianlang Chen, Zhongping Zhang, Quanzeng You, Chen Fang, Zhaowen Wang, Hailin Jin, Jiebo Luo, Factual or Emotional: Stylized Image Captioning with Adaptive Learning and Attention, European Conference on Computer Vision (ECCV) , Munich, Germany, September 2018. Yang Feng, Lin Ma, Wei Liu, Tong Zhang, Jiebo Luo, Video Re-localization via Cross Gated Bilinear Matching, European Conference on Computer Vision (ECCV) , Munich, Germany, September 2018. Qing Li, Qingyi Tao, Shafiq Joty, Jianfei Cai, Jiebo Luo, VQA-E: Explaining, Elaborating, and Enhancing Your Answers for Visual Questions, European Conference on Computer Vision (ECCV) , Munich, Germany, September 2018. Mengshi Qi, Jie Qin, Annan Li, Yunhong Wang, Jiebo Luo, Luc Van Gool, stagNet: An Attentive Semantic RNN for Group Activity Recognition, European Conference on Computer Vision (ECCV) , Munich, Germany, September 2018. Fuchen Long, Ting Yao, Tao Mei, Jiebo Luo, Deep Domain Adaptation Hashing with Adversarial Learning, ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) , Ann Arbor, MI, July 2018. (Oral presentation Xiaobai Liu, Qian Xu, Jingjie Yang, Jacob Thalman, Shuicheng Yan, and Jiebo Luo, Learning Multi-Instance Deep Ranking and Regression Network for Visual House Appraisal, IEEE Transactions on Knowledge and Data Engineering (TKDE) 30(8): 1496-1506, 2018. Zhengyuan Yang, Yixuan Zhang, Jerry Yu, Junjie Cai, Jiebo Luo, End-to-end Multi-Modal Multi-Task Vehicle Control for Self-Driving Cars with Visual Perception, IAPR/IEEE International Conference on Pattern Recognition (ICPR) , Beijing, China, August 2018. ( Best Industrial Related Paper Zhengyuan Yang, Yuncheng Li, Jianchao Yang, Jiebo Luo, Action Recognition with Visual Attention on Skeleton Images, IAPR/IEEE International Conference on Pattern Recognition (ICPR) , Beijing, China, August 2018. (Oral presentation Zhongping Zhang, Yixuan Zhang, Zheng Zhou, Jiebo Luo, Boundary-based Image Forgery Detection by Fast Shallow CNN, IAPR/IEEE International Conference on Pattern Recognition (ICPR) , Beijing, China, August 2018. Viet-Duy Nguyen, Minh Tran, Jiebo Luo, "Are French Really That Different? Recognizing Europeans from Faces Using Data-Driven Learning," IAPR/IEEE International Conference on Pattern Recognition (ICPR) , Beijing, China, August 2018. Quanzeng You, Zhengyou Zhang, Jiebo Luo, End-to-end Convolutional Semantic Embeddings, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , Salt Lake City, UT, June 2018. Wei Xiong, Wenhan Luo, Lin Ma, Wei Liu, Jiebo Luo, Learning to Generate Time-Lapse Videos Using Multi-Stage Dynamic Generative Adversarial Networks, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , Salt Lake City, UT, June 2018. Danna Gurari, QingLi, AbigaleStangl, AnhongGuo, Chi Lin, Kristen Grauman, Jiebo Luo, Jeffery Bigham, VizWiz Grand Challenge: Answering Visual Questions from Blind People, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , Salt Lake City, UT, June 2018.( Spotlight ) Gui-Song Xia, Xiang Bai, Jian Ding, Serge Belongie, Jiebo Luo, Mihai Datcu, Marcello Pelillo, Liangpei Zhang, DOTA: A Large-scale Dataset for Object Detection in Aerial Images, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , Salt Lake City, UT, June 2018. Xinpeng Chen, Jingyuan Chen, Lin Ma, Jian Yao, Wei Liu, Jiebo Luo and Tong Zhang, Fine-grained Video Attractiveness Prediction Using Multimodal Deep Learning on a Large Real-world Dataset, The Web Conference (WWW) , Lyon, France, April 2018. Yu Wang, Haofu Liao, Yang Feng, Xiangyang Xu, Jiebo Luo, Do They All Look the Same? Deciphering Chinese, Japanese and Koreans by Fine-Grained Deep Learning, IEEE International Conference on Multimedia Information Processing and Retrieval , Miami, FL, April 2018. Tianlang Chen, Chenliang Xu, Jiebo Luo, Improving Text-based Person Search by Spatial Matching and Adaptive Threshold, Winter Conference on Computer Vision (WACV) , Lake Tahoe, NV, March 2018. Xitong Yang, Jiebo Luo, "Towards Perceptual Image Dehazing by Physics-based Disentanglement and Adversarial Training", The 32nd AAAI Conference on Artificial Intelligence (AAAI) , New Orleans, LA, February 2018. Jingyi Hou, Xinxiao Wu, Jiebo Luo, "Unsupervised Deep Learning of Mid-Level Video Representation for Action Recognition," The 32nd AAAI Conference on Artificial Intelligence (AAAI) , New Orleans, LA, February 2018. Yu Wang, Haofu Liao, Yang Feng, Xiangyang Xu, Jiebo Luo, Do They All Look the Same? Deciphering Chinese, Japanese and Koreans by Fine-Grained Deep Learning, IEEE International Conference on Multimedia Information Processing and Retrieval , Miami, FL, April 2018. Yang Cong, Ji Liu, Jiebo Luo, User Attribute Discovery with Missing Labels, Pattern Recognition 73: 33-46, 2018. 2017 Heliang Zheng, Jianlong Fu, Tao Mei, and Jiebo Luo, Learning Multi-Attention Convolutional Neural Network for Fine-Grained Image Recognition, International Conference on Computer Vision (ICCV), Venice, Italy, October 2017. (oral presentation) Xiangyang Xu, Yuncheng Li, Gangshan Wu and Jiebo Luo, Multi-modal Deep Feature Learning for RGB-D Object Detection, Pattern Recognition 72: 300-313, 2017. Zhengyuan Yang, Wendi Cross, Jiebo Luo, Personalized pose estimation for body language understanding, International Conference on Image Processing (ICIP), Beijing, China, September 2017. (oral presentation) Honglin Zheng, Tianlang Chen, Quanzeng You, Jiebo Luo, When Saliency Meets Sentiment: Understanding How Image Content Invokes Emotion and Sentiment, International Conference on Image Processing (ICIP), Beijing, China, September 2017. (oral presentation) Lifang Wu, Shuang Liu, Meng Jian, Jiebo Luo, Xiuzhen Zhang, Mingchao Qi, Reducing Noisy Labels on Weakly Labeled Data for Visual Sentiment Analysis, International Conference on Image Processing (ICIP), Beijing, China, September 2017. Yuncheng Li, Liangliang Cao, Jiebo Luo, Mining Fashion Outfit Composition Using an End-to-End Deep Learning Approach on Set Data, IEEE Trans. on Multimedia , 19(8): 1946-1955(2017). Yanhao Zhang, Lei Qin, Rongrong Ji, Qingming Huang, Jiebo Luo, Exploring Coherent Motion Patterns via Structured Trajectory Learning for Crowd Mood Modeling, IEEE Transactions on Circuits and Systems for Video Technology, 27(3): 635-648 (2017). Fei Wu, Zhuhao Wang, Weiming Lu, Xi Li, Yi Yang, Jiebo Luo, Yueting Zhuang, Regularized Deep Belief Network for Image Attribute Detection, IEEE Transactions on Circuits and Systems for Video Technology , 27(7): 1464-1477, 2017. Qing Li, Zhaofan Qiu, Ting Yao, Tao Mei, Yong Rui, Jiebo Luo, Learning hierarchical video representation for action recognition," International Journal of Multimedia Information Retrieval, 6(1): 85-98, 2017. Quanzeng You, Liangliang Cao, Jiebo Luo, Image Based Appraisal of Real Estate Properties, IEEE Transactions on. Multimedia , in press. Xitong Yang, Sriganesh Madhvanath, Edgar A. Bernal, Palghat Ramesh, Radha Chitta, Jiebo Luo, Deep Multimodal Representation Learning from Temporal Data, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , Hawaii, July 2017. Marko Stamenovic, Jiebo Luo, Machine Identification of High Impact Research through Text and Image Analysis, IEEE Big Multimedia Conference , Laguna Hills, CA, April 2017. Quanzeng You, Hailin Jin, Jiebo Luo, Visual Sentiment Analysis by Attending on Local Image Regions, The 31st AAAI Conference on Artificial Intelligence (AAAI) , San Francisco, CA, February 2017. Songhe Feng, Congyan Lang, Jiashi Feng and Jiebo Luo, Human Facial Age Estimation by Cost-Sensitive Label Ranking and Trace Norm Regularization, IEEE Trans. on Multimedia , 19(1): 136-148, 2017. Yang Cong, Ji Liu, Gan Sun, Quanzheng You, Yuncheng Li and Jiebo Luo, Adaptive Greedy Dictionary Selection for Web Media Summarization, IEEE Trans. on Image Processing , 26(1): 185-195, 2017. 2016 Yang Feng, Yuncheng Li, Jiebo Luo, "Learning Effective Gait Features Using LSTM", International Conference on Pattern Recognition (ICPR) , Cancun, Mexico, December 2016. Iftekhar Naim, Abdullah Al Mamun, Young Chol Song, Jiebo Luo, Henry Kautz, Daniel Gildea, "Aligning Movies with Scripts by Exploiting Temporal Ordering Constraints", International Conference on Pattern Recognition (ICPR) , Cancun, Mexico, December 2016. Yanhao Zhang, Lei Qin, Rongrong Ji, Sicheng Zhao, Qingming Huang, Jiebo Luo, "Exploring Coherent Motion Patterns via Structured Trajectory Learning for Crowd Mood Modeling", IEEE Transactions on Circuits and Systems for Video Technology , 2016. Quanzeng You, Liangliang Cao, Hailin Jin, Jiebo Luo, "Robust Visual-Textual Sentiment Analysis: When Attention meets Tree-structured Recursive Neural Networks", ACM Multimedia Conference , Amsterdam, The Netherlands, October 2016. Qing Li, Zhaofan Qiu, Ting Yao, Tao Mei, Yong Rui and Jiebo Luo, Action Recognition by Learning Deep Multi-Granular Spatio-Temporal Video Representation, ACM/IAPR International Conference on Multimedia Retrieval (ICMR) , New York City, June 2016. (Long paper, Best Paper Candidate ) Quanzeng You, Hailin Jin, Zhaowen Wang, Chen Fang, Jiebo Luo, Image Captioning with Semantic Attention, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , Las Vegas, NV, June 2016. ( Spotlight ) Yuncheng Li, Yale Song, Liangliang Cao, Joel Tetreault, Larry Goldberg, Jiebo Luo, TGIF: A New Dataset and Benchmark on Animated GIF Description, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , Las Vegas, NV, June 2016. ( Spotlight ) Tianliang Liu, Xincheng Wang, Xiubin Dai, Jiebo Luo, "Deep Recursive and Hierarchical Conditional Random Fields for Human Action Recognition," IEEE Winter Conference on Applications of Computer Vision (WACV), Lake Placid, NY, March 2016. Liang Lin, Keze Wang, Wangmeng Zuo, Meng Wang, Lei Zhang, Jiebo Luo, Deep Reconfigurable Models with Radius-Margin Bound for 3D Human Activity Recognition, International Journal of Computer Vision , available online. Xinyang Cai, Wengang Zhou, Houqiang Li, Jiebo Luo, Lei Wu, Effective Kinetic Skeleton Representation for Low Latency Human Action Recognition, IEEE Trans. Multimedia , available online. Quanzeng You, Hailin Jin, Jianchao Yang, Jiebo Luo, "Cross-modality Consistent Regression for Joint Visual-Textual Sentiment Analysis," ACM International Conference on Web Search and Data Ming (WSDM ), San Francisco, CA, February 2016. [PrePrintPDF] Quanzeng You, Hailin Jin, Jianchao Yang, Jiebo Luo, "Building a Large Scale Dataset for Image Emotion Recognition: The Fine Print and The Benchmark," The 30th AAAI Conference on Artificial Intelligence (AAAI), Phoenix, AZ, January 2016. [ PDF ] 2015 Yuncheng Li, Xitong Yang, Jiebo Luo, Semantic Video Entity Linking based on Visual Content and Metadata, International Conference on Computer Vision (ICCV) , Santiago, Chile, December 2015. [ PrePrintPDF ] Yuncheng Li, Jifei Huang, Jiebo Luo, "Using User Generated Online Photos to Estimate and Monitor Air Pollution in Major Cities," ACM International Conference on Internet Multimedia Computing and Service (ICIMCS) , August 2015. ( Best Pape r) [ PDF ] [ Project Page ] Yuning Jiang, Jingjing Meng, Junsong Yuan, Jiebo Luo, "Randomized Spatial Context for Object Search," IEEE Trans. on Image Processing , 24(6): 1748-1762, 2015. Wu Liu, Tao Mei, Yongdong Zhang, Cherry Che and Jiebo Luo, Multi-Task Deep Visual-Semantic Embedding for Video Thumbnail Selection, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) , Boston, MA, June 2015. Dawei Zhou, Jiebo Luo, Vincent Silenzio, Yun Zhou, Glenn Currier, and Henry Kautz, "Tackling Mental Health by Integrating Unobtrusive Multimodal sensing," the Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI), Austin, TX, January 25-30, 2015. [ PDF ] Wanying Ding, Junhuan Zhu, Lifan Guo, Xiaohua Hu, Jiebo Luo, Haohong Wang, Jointly Image Topic and Emotion Detection using Multi-Modal Hierarchical Latent Dirichlet Allocation, Journal of Multimedia Information System, 2015. Yang Cong, Ji Liu, Jiebo Luo, "Speeded up Low Rank Online Metric Learning for Object Tracking," IEEE Transactions on Circuits and Systems for Video Technology , 2015. 2010-2014 Young Chol Song, Henry Kautz, James Allen, Mary Swift, Yuncheng Li, Jiebo Luo, "A Markov Logic Framework for Recognizing Complex Events from Multimodal Data," ACM International Conference on Multimodal Interaction (ICMI), Sidney, Australia, December 2013. Yao Zhou and Jiebo Luo, "A Practical Method for Counting Arbitrary Target Objects in an Arbitrary Scene," IEEE ICME , July 2013. Congyan Lang, Jiashi Feng, Guangcan Liu, Jinghui Tang, Shuicheng Yan and Jiebo Luo, "Improving Bottom-up Saliency Detection by Looking into Neighbors," IEEE Transactions on Circuits and Systems for Video Technology , 23(6): 1016-1028, June 2013. Minwoo Park, Jiebo Luo, Andrew Gallagher, Majid Rabbani, Learning to Produce 3D Media from a Captured 2D Video, IEEE Transactions on Multimedia , 15(7): 1569-1578, 2013. Hua Wang, Dhiraj Joshi,Jiebo Luo, and Heng Huang, "Simultaneous Image Annotation and Geo-Tag Prediction via Correlation Guided Structured Multi-Task Learning," IEEE Symposium on Multimedia (ISM) , December2012. Jianchao Yang, Jiebo Luo, Jie Yu, Thomas. Huang, Photo Stream Alignment and Summarization for Collaborative Photo Collection and Sharing, IEEE Transactions on Multimedia , 14(6): 1642-1651, December 2012. Youjie Zhou, Jiebo Luo, " Geo-Location Inference on News Articles via Multimodal pLSA," ACM Multimedia Conference , Nara, Japan, October 2012. Xiaobin Xu, Tao Mei, Wenjun Zeng, Nenghai Yu, Jiebo Luo, "AMIGO: Accurate Mobile Image GeOtagging," ACM International Conference on Internet Multimedia Computing and Services , Wuhan, China, September 2012. ( Best Paper ) Lin Chen, Dong Xu, Ivor Tsang, and Jiebo Luo for the paper entitled, "Tag-Based Image Retrieval Improved by Augmented Features and Group-Based Refinement", IEEE Transactions on Multimedia , Volume 14, Number 4, August 2012 ( 2014 IEEE Multimedia Prize Paper Award ). Minwoo Park, Jiebo Luo, Andrew Gallagher, Towards Assessing and Improving the Quality of Stereo Images, Special Issue on Emerging Techniques in 3D, IEEE Journal of Selected Topics in Signal Processing, 6(5): 460 - 470, 2012. Siyu Xia, Ming Shao, Jiebo Luo, and Yun Fu, Understanding Kin Relationships in a Photo, Special Issue on Learning Semantics from Multimedia Web Resources, IEEE Transactions on Multimedia , 14(4): 1046-1056, 2012. Lin Chen, Dong Xu, Ivor W. Tsang, Jiebo Luo, Tag-based Image Retrieval Improved by SVM with Augmented Features and Group-based Refinement, Special Issue on Learning Semantics from Multimedia Web Resources, IEEE Transactions on Multimedia , 14(4): 1057-1067, 2012. Cong Yang, Junsong Yuan, Jiebo Luo, Towards Scalable Summarization of Consumer Videos via Sparse Dictionary Selection, Special Issue on Object and Event Classification in Large-Scale Video Collections, IEEE Transactions on Multimedia , 14(1): 66-75, February 2012. Dhiraj Joshi, Ritendra Datta, Elena Fedorovskaya, Jia Li, James Z. Wang, Jiebo Luo, Computational inference of aesthetics, mood, and emotion in images, IEEE Signal Processing Magazine , 28(5): 94-115, September 2011. Yiming Liu, Dong Xu, Ivor Tsang, Jiebo Luo, "Textual query of personal photos facilitated by large-scale web data," IEEE Transactions on Pattern Analysis and Machine Intelligence , 33(5): 1022-1036, May 2011. Minwoo Park, Jiebo Luo, Robert Collions, Yanxi Liu, "Beyond GPS: Determining the viewing direction of a geotagged image," ACM Multimedia Conference , Firenze, Italy, October 2010. Xiaobai Liu,Shuicheng Yan , Jiebo Luo ,Jinhui Tang,ZhongYang Huang,Hai Jin , " Nonparametric Label-to-Region by Search," CVPR 2010. Jingen Liu, Jiebo Luo, Mubarak Shah, "Recognizing Realistic Actions from Videos in the Wild," IEEE Conference on Computer Vision and Pattern Recognition , Miami, FL, June 2009. (Oral Presentation) [ Project Page ] machine learning 2018 Yi Wang, Nan Xue, Xin Fan, Jiebo Luo, Risheng Liu, Haojie Li, Bin Chen, Zhongxun Luo, Fast factorization-free Kernel Learning for Unlabeled Chunk Data Streams, International Joint Conference on Artificial Intelligence (IJCAI) , Stockholm, Sweden, July 2018. Xiaotong Zhang, Xianchao Zhang, Han Liu, Jiebo Luo, Multi-Task Clustering with Model Relation Learning, International Joint Conference on Artificial Intelligence (IJCAI) , Stockholm, Sweden, July 2018. Yang Cong, Ji Liu, Jiebo Luo, Sparse Low-rank Online Similarity Learning, IEEE Transactions on Cybernetics , 73: 33-46, 2018. Yang Cong, Ji Liu, Jiebo Luo, Online Similarity Learning for Big Data with Overfitting, IEEE Transactions on Big Data , 4(1): 78-89, 2018. 2017 Jianbo Yuan, Han Guo, Zhiwei Jin, and Jiebo Luo, One-shot Learning for Fine-grained Relation Extraction via Convolutional Siamese Neural Network, IEEE Big Data Conference , Boston, MA, December 2017. Yuncheng Li, Jianchao Yang, Yale Song, Liangliang Cao, Jia Li and Jiebo Luo, Learning from Noisy Labels with Distillation, International Conference on Computer Vision (ICCV), Venice, Italy, October 2017. Guo-Jun Qi, Jiliang Tang, Jingdong Wang and Jiebo Luo, Mixture Factorized Ornstein-Uhlenbeck Processes for Time-Series Forecasting, ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), Nova Scotia, Canada, August 2017. Yuncheng Li, Yale Song, Jiebo Luo, Improving Pairwise Ranking for Multi-label Image Classification, IEEE Conference on Computer Vision and Pattern Recognition (CVPR) , Hawaii, July 2017. Yi Wang, Xin Fan, Maomao Min, Jiebo Luo, Fast Online Incremental Learning on Mixture Streaming Data, The 31st AAAI Conference on Artificial Intelligence (AAAI) , San Francisco, CA, February 2017. 2016 Xianchao Zhang, Haixing Li, Wenxin Liang, Jiebo Luo, Multi-Type Co-clustering of General Heterogeneous Information Networks, IEEE International Conference on Data Mining (ICDM) , December 2016. Young Chol Song, Iftekhar Naim, Abdullah Al Mamun, Kaustubh Kulkarni, Parag Singla, Jiebo Luo, Daniel Gildea and Henry Kautz, Unsupervised Alignment of Actions in Video with Text Descriptions, AAAI International Joint Conference on Artificial Intelligence (IJCAI) , New York City, July 2016. 2015 Iftekhar Naim, Young Chol Song, Henry Kautz, Jiebo Luo, Qiguang Liu, Daniel Gildea, and Liang Huang, "Discriminative Unsupervised Alignment of Natural Language Instructions with Corresponding Video Segments," North American Chapter of the Association for Computational Linguistics (NAACL) , 2015. Quanzeng You, Jiebo Luo, Hailin Jin, and Jianchao Yang, "Robust Image Sentiment Analysis using Progressively Trained and Domain Transferred Deep Networks," The Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI), Austin, TX, January 25-30, 2015. [ PDF ] [ Project Page ] 2010-2014 Iftekhar Naim, Young Song, Daniel Gildea, Qiguang Liu, Henry Kautz and Jiebo Luo, "Unsupervised Alignment of Natural Language Instructions with Video Segments," the Twenty-Eighth AAAI Conference on Artificial Intelligence (AAAI) , Quebec City, Canada, July 27-31, 2014. Yang Cong, Ji Liu, Junsong Yuan, Jiebo Luo, "Self-Supervised Online Metric Learning With Low Rank Constraint for Scene Categorization." IEEE Transactions on Image Processing , 22(8): 3179-3191, 2013. Liangliang Cao , Xin Jin , Zhijun Yin , Andrey Del Pozo, Jiebo Luo, Jiawei Han , Thomas S. Huang , " RankCompete: Simultaneous ranking and clustering of information networks," Neurocomputing, 95: 98-104, 2012. Yahong Han, Fei Wu, Qi Tian, Yueting Zhuang, Jiebo Luo, "Correlated Attribute Transfer with Multi-task Graph-Guided Fusion," ACM Multimedia Conference , Nara, Japan, October 2012. (Long paper) Lixin Duan, Dong Xu, Ivor Tsang, Jiebo Luo, Visual Event Recognition in Videos by Learning from Web Data, IEEE Conference on Computer Vision and Pattern Recognition , San Francisco, CA, June 2010. ( Best Student Paper ) ( Project Page ) web and social media data mining 2018 Zhongping Zhang, Tianlang Chen, Zheng Zhou, Jiaxin Li, and Jiebo Luo, How to Become Instagram Famous: Post Popularity Prediction with Dual-Attention, IEEE International Conference on Big Data , Seattle, WA, December 2018. Tianlang Chen, Yuxiao Chen, Han Guo, and Jiebo Luo, You Type a Few Words and We Do the Rest: Image Recommendation for Social Multimedia Posts, IEEE International Conference on Big Data , Seattle, WA, 2018. Benjamin Kane and Jiebo Luo, Do the Communities We Choose Shape our Political Beliefs? A Study of the Politicization of Topics in Online Social Groups, International Workshop on Big Social Media Data Management and Analysis, IEEE International Conference on Big Data , Seattle, WA, December 2018. Yuxiao Chen*, Jianbo Yuan*, Quanzeng You, Jiebo Luo, "Twitter Sentiment Analysis via Bi-sense Emoji Embedding and Attention-based LSTM," ACM Multimedia Conference , Seoul, Korea, October 2018. Xuefeng Peng, Li-Kai Chi and Jiebo Luo, The Effect of Pets on Happiness: A Large-scale Multi-Factor Analysis using Social Multimedia, ACM Transactions on Intelligent Systems and Technology (TIST) 9(5), 2018. Tianran Hu, Jiebo Luo and Wei Liu, Life in the Matrix: Human Mobility Patterns in the Cyber Space, AAAI International Conference on Web and Social Media (ICWSM) , Stanford, CA, June 2018. (Full Paper Acceptance Rate 16%) Weijian Li*, Yuxiao Chen*, Tianran Hu, and Jiebo Luo, Mining the Relationship between Emoji Usage Patterns and Personality, AAAI International Conference on Web and Social Media (ICWSM) , Stanford, CA, June 2018. Tianlang Chen, Yuxiao Chen, Han Guo and Jiebo Luo, When E-commerce Meets Social Media: Identifying Business on WeChat Moment Using Bilateral-Attention LSTM, The Web Conference (WWW) , Lyon, France, April 2018. Peijun Zhao, Jia Jia, Lexing Xie, Yongsheng An and Jiebo Luo, Analyzing and Predicting Emoji Usages in Social Media, The Web Conference (WWW) , Lyon, France, April 2018. 2017 Yiming Pan, Xuefeng Peng, Tianran Hu, and Jiebo Luo, Understanding What affects Career Progression Using LinkedIn and Twitter Data, Special Session on Intelligent Data Mining, IEEE Big Data Conference , Boston, MA, December 2017. Xuefeng Peng, Yiming Pan, and Jiebo Luo, Predicting High Taxi Demand Regions Using Social Media Check-ins, Special Session on Intelligent Data Mining, IEEE Big Data Conference , Boston, MA, December 2017. Zhiwei Jin, Juan Cao, Han Guo, Yongdong Zhang, Yu Wang and Jiebo Luo, Multimodal Fusion with Recurrent Neural Networks for Rumor Detection on Microblogs, ACM Multimedia Conference , Mountain View, CA, October 2017. Yu Wang, Jiebo Luo and Xiyang Zhang, When Follow is Just One Click Away: Understanding Twitter Follow Behavior in the 2016 U.S. Presidential Election, International Conference on Social Informatics (SocInfo), Oxford, England, Sept. 2017. Yu Wang, Yang Feng and Jiebo Luo, How Polarized Have We Become? A Multimodal Classification of Trump Followers and Clinton Followers, International Conference on Social Informatics (SocInfo), Oxford, England, Sept. 2017. Zhiwei Jin, Juan Cao, Han Guo, Yongdong Zhang, Yu Wang and Jiebo Luo, Detection and Analysis of 2016 US Presidential Election Related Rumors on Twitter, International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMS), Washington, DC, July 2017. Yu Wang and Jiebo Luo, Inferring Follower Preferences with Sparse Learning, International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMS), Washington, DC, July 2017. Yu Wang and Jiebo Luo, Gender Politics in the 2016 Presidential Election: A Computer Vision Approach, International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMS), July 2017. Quanzeng You, Jungseock Joo, Dario Garcia Garcia, Jiebo Luo, Cultural Dynamics and Trends in Facebook Photographs, AAAI International Conference on Web and Social Media (ICWSM) , Montreal, Canada, May 2017. Tianran Hu, Han Guo, Hao Sun, Thuy-vy Thi Nguyen, Jiebo Luo, Spice up Your Chat: The Intentions and Sentiment Effects of Using Emojis, AAAI International Conference on Web and Social Media (ICWSM) , Montreal, Canada, May 2017. Tianran Hu, Ruihua Song, Xing Xie, Maya Abtahian, Philip Ding and Jiebo Luo, A World of Difference: Divergent Word Interpretations among People, AAAI International Conference on Web and Social Media (ICWSM) , Montreal, Canada, May 2017. Rijul Magu, Kshitij Joshi and Jiebo Luo, Decoding the Hate Code on Social Media, AAAI International Conference on Web and Social Media (ICWSM) , Montreal, Canada, May 2017. Yu Wang and Jiebo Luo, "Tactics and Tallies: A Study of the 2016 U.S. Presidential Campaign Using Twitter 'Likes'," AAAI International Conference on Web and Social Media (ICWSM) , Second International Workshop on News and Public Opinion, Montreal, Canada, May 2017. Kuan-Ting Chen and Jiebo Luo, "When Fashion Meets Big Data: Discriminative Mining of Best Selling Clothing Features," World Wide Web Conference (WWW), Perth, Australia, April 2017. Tianlang Chen, Yuxiao Chen and Jiebo Luo, "A Selfie is Worth a Thousand Words: Mining Personal Patterns behind User Selfie-posting Behaviours," World Wide Web Conference (WWW), Perth, Australia, April 2017. Tianran Hu, Eric Biglow, Henry Kautz, and Jiebo Luo, Tales of Two Cities: Using Social Media to Understand Idiosyncratic Lifestyles in Distinctive Metropolitan Areas, Special Issue on Big Media Data: Understanding, Search, and Mining, IEEE Transactions on Big Data , 3(1): 55-66, 2017. 2016 Yiheng Zhou, Numair Sani, and Jiebo Luo, Fine-grained Mining of Illicit Drug Use Patterns Using Social Multimedia Data from Instagram, Special Session on Intelligent Data Mining," IEEE International Conference on Big Data (Big Data), Washington, DC, December 2016. Jianbo Yuan, Walid Shalaby, Mohammed Korayem, David Lin, Khalifeh AlJadda and Jiebo Luo, "Solving Cold Start Problem in Large-scale Recommendation Engines: A Deep Learning Approach," IEEE International Conference on Big Data (Big Data), 2016. Yuchen Wu, Jianbo Yuan, Quanzeng You, and Jiebo Luo, "The Effect of Pets on Happiness: A Data-Driven Approach via Large-Scale Social Media, Special Session on Intelligent Data Mining, IEEE International Conference on Big Data (Big Data), Washington, DC, December 2016. Haofu Liao, Yuncheng Li, Tianran Hu, and Jiebo Luo, Inferring Restaurant Styles by Mining Crowd Sourced Photos from User-Review Websites, IEEE International Conference on Big Data (Big Data), Washington, DC, December 2016. Yu Wang, Yang Feng, Jiebo Luo, "Pricing the Woman Card: Gender Politics in 2016 US Presidential Election", Workshop on Applications of Big Data in Computational Social Science, IEEE International Conference on Big Data (Big Data) , Washington, DC, December 2016. Yu Wang, Yang Feng, Xiyang Zhang, and Jiebo Luo, Inferring Voter Preferences behind Brexit, Workshop on Application of Big Data for Computational Social Science, IEEE International Conference on Big Data (Big Data) , Washington, DC, December 2016. Yang Feng, Jiebo Luo, "When Do Luxury Cars Hit Road? Findings by A Big Data Approach", Workshop on Applications of Big Data in Computational Social Science, IEEE International Conference on Big Data (Big Data), Washington, DC, December 2016. Yu Wang, Yang Feng, Jiebo Luo, Xiyang Zhang, Voting with Feet: Who are Leaving Hillary Clinton and Donald Trump? IEEE International Symposium on Multimedia , San Jose, CA, December 2016. (Invited Paper) Tianran Hu, Ruihua Song, Xing Xie, Jiebo Luo, "Mining Shopping Patterns for Divergent Urban Regions by Incorporating Mobility Data", ACM International Conference on Information and Knowledge Management (CIKM) , Indianapolis, IN, October 2016. Kelly He, Lee Murphy, and Jiebo Luo, "Using Social Media to Promote STEM Education: Matching College Students with Role Models", European Conference on Machine Learning and Principles and Practice of Knowledge Discovery (ECML/PKDD), Riva del Garda, Italy, September 2016. [ arXiv] Zhishen Pan, Kevin Chi, Timothy Dye, Jiebo Luo, "Towards Understanding How News Coverage Affect Public Perception During Epidemic Outbreaks", International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMS) , Washington DC, June 2016. Yiheng Zhou, Numair Sani, Jiebo Luo, "Understanding Illicit Drug Use Behaviors by Mining Instagram," International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMS) , Washington DC, June 2016. [ arXiv ] Tianran Hu, Haoyuan Xiao, Jiebo Luo, Thuy-vy Thi Nguyen, What the Language You Tweet Says About Your Occupation, AAAI International Conference on Weblogs and Social Media (ICWSM) , Cologne, Germany, May 2016. Yu Wang, Yuncheng Li, Jiebo Luo, Deciphering the 2016 U.S. Presidential Campaign in the Twitter Sphere: A Comparison of the Trumpists and Clintonists, AAAI International Conference on Weblogs and Social Media (ICWSM) , Cologne, Germany, May 2016. [ arXiv ] Yu Wang, Jiebo Luo, Richard G. Niemi, Yuncheng Li, Tianran Hu, Catching Fire via Likes: Inferring Topic Preferences of Trump Followers on Twitter, AAAI International Conference on Weblogs and Social Media (ICWSM), Cologne, Germany, May 2016. [ arXiv ] Nabil Hossain, Tianran Hu, Roghayeh Feizi, Ann Marie White, Jiebo Luo, Henry Kautz, Inferring Fine-grained Details on User Activities and Home Location from Social Media: Detecting Drinking-While-Tweeting Patterns in Communities, AAAI International Conference on Weblogs and Social Media (ICWSM), Cologne, Germany, May 2016. [ arXiv ] Yu Wang, Yuncheng Li, Richard G. Niemi, Jiebo Luo, To Follow or Not to Follow: Analyzing the Growth Patterns of the Trumpists on Twitter, AAAI International Conference on Weblogs and Social Media (ICWSM), Workshop on Social Media in the Newsroom, Cologne, Germany, May 2016. Zhiwei Jin, Juan Cao, Yongdong Zhang, Jiebo Luo, "News Verification by Exploiting Conflicting Social Viewpoints in Microblogs," The 30th AAAI Conference on Artificial Intelligence (AAAI), Phoenix, AZ, January 2016. [ PDF] 2015 Quanzeng You, Sumit Bhatia, Jiebo Luo, "A Picture Tells a Thousand Words About You! User Interest Profiling from User Generated Visual Content," Signal Processing , Special Issues on Big Data Meets Multimedia Analytics, December 2015. [ PDF] Quanzeng You, Liangliang Cao, Jiebo Luo, "A Multifaceted Social Multimedia-based Approach to Prediction of Elections,", IEEE Transactions on Multimedia , to appear, 2015. [ PrePrintPDF ] Tianran Hu, Adam Sadilek, Henry Kautz, and Jiebo Luo, Home Location Inference from Sparse and Noisy Data: Models and Applications, IEEE International Conference on Data Mining (ICDM), Workshop on Social Multimedia Data Mining , Atlantic City, December 2015. Yu Wang, Jianbo Yuan, and Jiebo Luo, To Love or to Loathe: How is the World Reacting to Chinas Rise? IEEE International Conference on Data Mining (ICDM), Workshop on Big Media Data: Understanding, Search, and Mining , Atlantic City, December 2015. [ PrePrintPDF ] Ran Pang, Agustin Baretto, Henry Kautz, and Jiebo Luo, Monitoring Adolescent Alcohol Use via Multimodal Data Analysis in Social Multimedia, Special Session on Intelligent Mining, IEEE Big Data Conference , Santa Clara, CA, October 2015. [ PrePrintPDF ] Yuncheng Li, Yang Cong, Tao Mei, and Jiebo Luo, User-Curated Image Collections: Modeling and Recommendation, IEEE Big Data Conference, Santa Clara, CA, October 2015. [ PrePrintPDF ] Yu Wang, Jianbo Yuan, and Jiebo Luo, America Tweets China: A Fine-Grained Analysis of the State and Individual Characteristics Regarding Attitudes towards China, IEEE Big Data Conference , Santa Clara, CA, October 2015. [ PrePrintPDF ] Kuan-Ting Chen*, Kezhen Chen*, Peizhong Cong, Winston Hsu, Jiebo Luo, "Who are the Devils Wearing Prada in New York City?" ACM Multimedia Conference , October 2015. [ PrePrintPDF ] Xitong Yang, Yuncheng Li, Jiebo Luo, "Pinterest Board Recommendation for Twitter Users," ACM Multimedia Conference , October 2015. [ PrePrintPDF ] Danning Zheng, Tianran Hu, Quanzeng You, and Jiebo Luo, "Towards Lifestyle Understanding: Predicting Home and Vacation Locations from Users Online Photo Collections," AAAI International Conference on Weblogs and Social Media (ICWSM), May 2015. 2010-2014 Quanzeng You, Sumit Bhatia, Jiebo Luo, "The eyes of the beholder: Gender prediction using images posted in online social networks," IEEE International Conference on Data Mining (ICDM), Workshop on Social Multimedia Data Mining , December 2014. [ PDF ] Simon Weber, Jiebo Luo, What Makes An Open Code Popular in Github, IEEE International Conference on Data Mining (ICDM), Workshop on Software Data Mining , December 2014. Andrew Nocka, Danning Zheng, Tianran Hu, Jiebo Luo, "Moneyball for Academia: Towards Measuring and Maximizing Faculty Performance and Impact," IEEE International Conference on Data Mining (ICDM), Workshop on Domain Dependent Data Mining , December 2014. Danning Zheng, Tianran Hu, Quanzeng You, and Jiebo Luo, "Inferring Home Location from User's Photo Collections based on Visual Content and Mobility Patterns," ACM Multimedia Conference, Workshop on Geotagging in Multimedia (GeoMM) , November 2014. Yuncheng Li, Jiebo Luo, Tao Mei, "Personalized Image Recommendation for Web Search Engine Users", IEEE ICME , July 2014. Junhuan Zhu, Quanzeng You, Jiebo Luo and John R. Smith, "Towards Understanding the Effectiveness of Election Related Images in Social Media," IEEE International Conference on Data Mining (ICDM), Workshop on Domain-driven Data Mining , December 2013. [ PDF ] Jianbo Yuan, Quanzeng You,and Jiebo Luo, "Are There Cultural Differences in Event Driven Information Propagation Over Social Media?" ACM Multimedia Conference, International Workshopon Socially-Aware Multimedia (IWSAM) , October 2013. [ PDF ] Quanzeng You and Jiebo Luo, "Towards Social Imagematics: Sentiment Analysis in Social Multimedia," ACM SIGKDD, Workshop on Multimedia Data Mining , August 2013. [ PDF ] Jianbo Yuan, Quanzeng You, Sean McDonough,and Jiebo Luo, "Sentribute: Image Sentiment Analysis from a Mid-level Perspective," ACM SIGKDD, Workshopon Issues of Sentiment Discovery and Opinion Mining (WISDOM) , August 2013. [ PDF ] Ge Ma and Jiebo Luo, "Is A Social Picture Worth 1000 Votes? Analyzing the Sentiment of Election Related Photos," IEEE ICME , July 2013. Xin Jin, Jie Yu, Jiawei Han, Jiebo Luo, Reinforced retrieval in image-rich information networks via integration of link and content based similarities, IEEE Transactions on Knowledge Discovery and Engineering , 25(2): pp 448-460, Feb. 2013. Xin Jin, Cindy Lin, Jiebo Luo, Jiawei Han, SocialSpamGuard: A Data Mining-based Spam Detection System for Social Media Networks, Demo Paper, International Conference on Very Large Data Bases (VLDB), Seattle, WA, August 2011. Xin Jin, Chi Wang, Jiebo Luo, Jiawei Han, LikeMiner: A System for Mining the Power of Like in Social Media Networks, Demo Paper, International Conference on Knowledge Discovery and Data Mining (KDD), San Diego, CA, August 2011. Zhijun Yin, Liangliang Cao, Jiawei Han, Jiebo Luo, and Thomas Huang, Diversified Trajectory Pattern Ranking in Geo-tagged Social Media, SIAM Conference on Data Mining (SDM), Mesa, AZ, April 2011. Jie Yu, Xin Jin, Jiawei Han, Jiebo Luo, Collection-based sparse label propagation and its application to social group suggestion from photos, ACM Transactions on Intelligent Systems and Technology , 2(2): , February 2011. Xin Jin, Andrew Gallagher, Jiawei Han, Jiebo Luo, Wisdom of Social Multimedia: Using Flickr for Prediction and Forecast, ACM Multimedia Conference , Brave and New Ideas Track, Firenze, Italy, October 2010. (Long Paper) biomedical analytics and health informatics 2018 S Weisenthal, C Quill, J Luo, H Kautz, S Farooq, M Zand, "2416: A machine learning pipeline to predict acute kidney injury (AKI) in patients without AKI in their most recent hospitalization," Journal of Clinical and Translational Science 1 (S1), 17-18, 2018. Haofu Liao, Zhimin Huo, James Sehnert, Kevin S, Zhou, Jiebo Luo, Adversarial Sparse-View CBCT Artifact Reduction, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCA), Granada, Spain, September 2018. Haofu Liao, Yucheng Tang, Gareth Funka-Lea, Jiebo Luo, Kevin S. Zhou, More Knowledge is Better: Cross-Modality Volume Completion and 3D+2D Segmentation for Intracardiac Echocardiography Contouring, International Conference on Medical Image Computing and Computer Assisted Intervention (MICCA), Granada, Spain, September 2018. Haofu Liao, Addisu Mesfin, Jiebo Luo, Joint Vertebrae Identification and Localization in Spinal CT Images by Combining Short- and Long-Range Contextual Information, IEEE Transactions on Medical Imaging 37(5): 1266-1275, 2018. 2017 Xuefeng Peng, Jiebo Luo, Catherine Glenn, Li-Kai Chi, and Jingyao Zhan, Sleep-deprived Fatigue Pattern Analysis using Large-Scale Selfies from Social Media, Special Session on Intelligent Data Mining, I EEE Big Data Conference , Boston, MA, December 2017. Yiheng Zhou, Jingyao Zhan and Jiebo Luo, Predicting Multiple Risky Behaviors via Multimedia Content, International Conference on Social Informatics (SocInfo), Oxford, England, September 2017. Xitong Yang, Jiebo Luo, Tracking Illicit Drug Dealing and Abuse on Instagram using Multimodal Analysis, ACM Transactions on Intelligent Systems and Technology , 8(4): 58:1-58:15, August 2017. Xuefeng Peng and Jiebo Luo, Large-Scale Sleep Condition Analysis Using Selfies from Social Media, International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation in Modeling and Simulation (SBP-BRiMS) , Washington, DC, July 2017. Jianbo Yuan, Chester Holtz, Tristram H Smith, Jiebo Luo, "Autism Spectrum Disorder Detection from Semi-Structured and Unstructured Medical Data," EURASIP Journal on Bioinformatics and Systems Biology, 2017:3, February 2017. Yiheng Zhou, Catherine Glenn, Jiebo Luo, Understanding and Predicting Multiple Risky Behaviors from Social Media, AAAI 2017 Joint Workshop on Health Intelligence, San Francisco, CA, February 2017. Haofu Liao, Jiebo Luo, A Deep Multitask Learning Approach to Skin Lesion Classification, AAAI 2017 Joint Workshop on Health Intelligence , San Francisco, CA, February 2017. 2016 Haofu Liao, Yuncheng Li, Jiebo Luo, "Skin Disease Classification versus Skin Lesion Characterization: Achieving Robust Diagnosis using Multi-label Deep Neural Networks", International Conference on Pattern Recognition (ICPR) , Cancun, Mexico, December 2016. Kuan Wang, Jiebo Luo, "Detecting Visually Observable Disease Symptoms from Faces", 1ST International Workshop on Biomedical Informatic with Optimization and Machine Learning (BOOM) , in conjunction with IJCAI 2016, New York City, New York, July 2016. ( Best Paper Runner-Up ) Chunlan Huang, Vincent P. Ness, Xiaochuan Yang, Hongli Chen, Jiebo Luo, Edward B Brown and Xinping Zhang, Spatiotemporal Analyses of Osteogenesis and Angiogenesis via Intravital Imaging in Cranial Bone Defect Repair, Journal of Bone and Mineral Research , available in PubMed. 2015 Junhuan Zhu, Jiebo Luo, Yousuf Khalifar, "Computerized Grading of Cataract Surgery from Videos," Machine Vision and Applications , 26(1): 115-125, 2015. Yang Cong, Ji Liu, Jiebo Luo, "Deep Sparse Feature Selection for Computer Aided Endoscopy Diagnosis," Pattern Recognition , 48(3): 907-917, 2015. Pre-2015 Tianli Yu, Jiebo Luo, Narendra Ahuja, "Search strategies for shape regularized active contour," Computer Vision and Image Understanding , 113(10): 1053-1063, 2009. Hui Luo, Jiebo Luo, "Robust online orientation correction for radiographs in PACS environments," IEEE Transactions on Medical Imaging , 25(10): 1370-1379, 2006. human computer interaction Tianran Hu, Anbang Xu, Jiebo Luo. Touch Your Heart: A Tone-aware Chatbot for Customer Care on Social Media, The ACM CHI Conference on Human Factors in Computing Systems (CHI) , Montreal, Canada, April 2018. Quanzeng You, Jianbo Yuan, Jiaqi Wang, Philip Guo, Jiebo Luo. Snap n Shop: Visual Search-Based Mobile Shopping Made a Breeze by Machine and Crowd Intelligence, IEEE International Conference on Semantic Computing (ICSC), February 2015. [ PDF ] Vivek K. Singh, Jiebo Luo, Dhiraj Joshi, Phoury Lei, Madirakshi Das, Peter Stubler, "Reliving on demand: a total viewer experience," ACM international conference on Multimedia , November 2011. Dhruv Batra, Adarsh Kowdle, Devi Parikh, Jiebo Luo, and Tsuhan Chen, "iCoSeg: Interactive Co-segmentation of Objects in Image Collections," IEEE Conference on Computer Vision and Pattern Recognition (CVPR), San Francisco, CA, June 2010. mobile and pervasive computing Young Chol Song, Henry Kautz, James Allen, Mary Swift, Yuncheng Li, Jiebo Luo, "A Markov Logic Framework for Recognizing Complex Events from Multimodal Data," ACM International Conference on Multimodal Interaction , Sidney, Australia, December 2013. Heng Liu, Tao Mei, Jiebo Luo, Houqiang Li, Shipeng Li, "Finding Perfect Rendezvous On the Go: Accurate Mobile Visual Localization and Its Applications to Routing," ACM Multimedia Conference , Nara, Japan, October 2012. (Long paper, Best Paper Candidate ) Pixels and Patches (Bits and Bytes) URCS Chair's Page URCS Seminars RIT CIS Seminars Computer Vision Genealogy Reverse Acronym Creator Move like Jager, err, Federer ArnetMiner Top Conferences in Computer Vision Top Conferences in Data Mining My Most Proud Publication Body Language Shapes Who You Are The Life of Rejected Papers Making Nice-Looking Papers out of WORD How to Write a Computer Vision Paper My Photo Journals USTC Pictures (Featured Big Picture Talks) Computer Vision ++: The Next Step towards Big AI With the huge successes of deep learning in computer vision, many vision problems are seemingly being solved. Where do we go from here? We will discuss a few directions where computer vision can be either further pushed to deal with data scarcity and data noise, or synergistically integrated with other disciplines such as NLP and data mining, to continue to advance the frontiers of artificial intelligence. Harvesting the Healing Power of AI and Big Data With the recent rapid advances in artificial intelligence, machine learning and data science, a promising domain is healthcare and wellness management. In this talk, we discuss two directions: first, leveraging electronic medical data including unstructured forms and videos to build robust algorithms for disease diagnosis and medical training, and second and more interestingly, utilizing social media data to detect and alter user unhealthy behaviors such as drinking, smoking, drug-use, and eating disorder. It is also intriguing how these two directions can be combined synergistically, and further to implement effective and innovative intervention. When Computer Vision meets E-Commerce Two of the top 10 largest companies by market cap i n the world, namely Amazon and Alibaba, are e-commerce companies that are enjoying huge success. At the same time, computer vision and artificial intelligence are making strides in both technologies and applications. What power can be unleashed when computer vision meets e-commerce. We will present a few recent advances in user profiling, behavior analytics, product recommendation, as well as deep sales data mining. Video and Language Video has become ubiquitous on the Internet, TV, as well as personal devices. Recognition of video content has been a fundamental challenge in computer vision for decades, where previous research predominantly focused on recognizing videos using a predefined yet limited vocabulary. Thanks to the recent development of deep learning techniques, researchers in multiple communities are now striving to bridge videos with natural language in order to move beyond classification to interpretation, which should be regarded as the ultimate goal of video understanding. We will present recent advances in exploring the synergy of video understanding and language processing techniques, including video-language alignment, video captioning, and video emotion analysis. Computational Inference of Emotion in Images With the recent successes in using deep learning techniques to solve computer vision problems, the performances of the state of the art algorithms in many areas, especially object recognition, have been dramatically improved. Researchers are now inspired to address yet more challenging problems, such as associating pictures with aesthetics, and have also reported progress. One remaining final frontier in extracting meaning from images is related to the recognition of emotions that images arouse in humans. The key challenges are the loose and highly abstract nature of semantics associated with emotions. We will discuss how to effectively employ a data-intensive approach to emotion recognition in images, as well as multimedia that include both image and text information. You Are What You Post: Personal Analytics from Big Social Media Data From the abundance of personal records, public data, and user-generated social multimedia contents, rich information can be inferred regarding user profile, user interests, user sentiment, user behaviors, user mobility, user lifestyles, as well as user physical and mental health. We will present a few recent advances in this important arena. 2016 Presidential Election: Donald Trump De-mystified With social media being increasingly utilized to boost political campaigns, Donald Trump looms large in the 2016 US Presidential Election. With the ability to track the Twitter followers of the major candidates in the running, we conduct a series of in-depth, fine-grained, data-driven analyses, including 1) Will Sanders Supporters Jump Ship for Trump? Fine-grained Analysis of Twitter Followers?, 2) Pricing the Woman Card: Gender Politics between Hillary Clinton and Donald Trump, and 3) Voting with Feet: Who are Leaving Hillary Clinton and Donald Trump? These studies represent a new paradigm for studying political campaigns and provide valuable insight at unprecedented scales and in real-time. Big Data Better Life We live in the age of big data. The biggest big data is big visual data, which includes images and other associated information. The biggest challenge is to develop effective computational methods for making sense of such massive visual data. Unlike text which is clean, segmented, compact, one dimensional and indexable, visual content is noisy, unsegmented, high entropy and multidimensional. In this talk, we present a few recent advances towards the ultimate goal of using big data, in particular large-scale and rich multi-modality data, to achieve robust intelligence in order to understand and improve life in terms of healthcare, well-being, politics, business, infotainment, and so on. Vision with A Billion Eyes A recent trend in computer vision is driven by images and video generated by heterogeneous and multi-perspective visual sensing networks. We present a few examples of research along this line. First, we will present an interesting framework for event recognition. With GPS information, we obtain satellite images corresponding to picture locations and investigate their novel use to recognize the picture-taking environment. We then combine this inference with classical vision-based event detection methods and demonstrate the synergistic fusion of the two approaches. Second, to determine the viewing direction for geotagged photos, we utilize both Google StreetView and Google Earth satellite images. Third, we explore using phone-captured images for localization as it contains more context information than the embedded sensory GPS coordinates. We then build applications to enable people to enjoy ubiquitous location-based services (LBS) using their phones. Fourth, we leverage crowd-sourced photos to remove unwanted bystanders from tourist photos taken at popular attractions and measure air pollution in major cities in China. Furthermore, given a new source of visual data from public webcams deployed in urban environments, we will present some ongoing work on crowd analytics using such data. Social Multimedia as Sensors Social multimedia can be exploited as a powerful new way of sensing social behaviors and activities from user-generated social multimedia contents, including building user profiles from a user's personal photo collection, inferring user personality traits from social media language usage, producing popular and diverse tourism routes from crowd-sourced geo-tagged photos, extracting user sentiment from both textual and visual information in social media, monitoring risky behaviors such as teenage drinking and drug abuse, and forecasting election outcome based on image sharing activities and user demographics extracted using computer vision techniques. Finally, we will share thoughts on current challenges and future directions. Using Social Media to Manage Mental Health "Computer Vision with a Third Eye" (Luo) "Data Mining in Social Multimedia Networks" (starting at 1 '32 "33) (Luo) "Thinking in Network Terms" (Barabasi) "HCI-orientated Social Computing" (Wang) Resources Research Themes Computer vision : recognition of objects, scenes, people, locations, actions and events from images and video Vision and language : description and explanation of visual content; language-based search and retrieval Social media data mining : prediction, forecasting, profiling, and recommendation using open source data Machine learning : learning with large scale loosely labeled web data, cross-domain learning, language+vision Human computer interaction : interactive visual recognition; integration of crowd and machine intelligence Biomedical informatics : healthcare and wellness analytics using text and visual data; surgical video analysis Mobile / Pervasive computing : context-aware applications; multimodal inference from multiple sensors Computational photography : computer vision-based 2D/3D enhancement; augmented/mobile photography Digital multimedia experience: multimodal reliving; aesthetics, emotion, sentiment, and influence of multimedia VIStA Research Group Members: Visiting Researchers Prof. Jinsong Su (Xiamen University) Prof. Yi Wang (DLUT) PhD Students Yuncheng Li Quanzeng You ( Snapchat Research since 2017) ( Microsoft Research AI since 2017) Tianran Hu Jianbo Yuan Yu Wang (PSC) Yang Feng Haofu Liao ( Facebook since 2018) Tianlang Chen Zhengyuan Yang Wei Xiong Jie Chen Weijian Li Songyang Zhang Wei Zhu Haitian Zheng Visiting PhD Students Mengshi Qi Wenbin Li MS Students CS Program: Yuxiao Chen, Tianxin Xie*, Kshitij Joshi*, Yiyun Peng*, Hao Zhou, Lele Chen, Rijul Magu, He Gong Data Science Program: Kaiyuan Hu, Ding Li TEAM Program: Qi Tang, Shujing Yu Undergraduate Students CS Program: Viet Duy Nuygen, Viet Duong, Phu Pham, Yutong He, Benjamin King, Peijun Xu, Yiming Pan, David Anuta, Josh Churchin Data Science Program: Numair Sani, Ryan Berger Alumni Visiting Professors Prof. Yang Cong Prof. Tian-Liang Liu Prof. Jun Wu Prof. Congyan Lang Prof. Weining Wang (SCUT) Visiting Postdocs Dr. Kuan-Ting Chen (NTU) Visiting PhD Students Zhiwei Jin ( ICT, Chinese Academy of Sciences ) Luigi Celona ( Universit degli Studi di Milano-Bicocca ) Former Graduate Students CS PhD Program: Lam Tran, Spyridoula Gravani (PhD@Rochester), Junhuan Zhu, Qiguang Liu (Youtube) Visiting PhD students: Kuan-Ting Chen (NTU), Wu Liu (ICT) , Xiangyang Xu (NJU) , Jesse Wang (UR Medicine) CS MS Program: Eric Biglow, Wentao Cai (PhD@Rochester), Xitong Yang (PhD@UMD), Haoyuan Xiao, Ran Pang (Bloomberg), Yunping Shao, Bella Wang, Han Guo (ICT) ECE MS Program: Taolue Chen, Yuchen Wu, Peizhong Cong, Siddarth Patki, Zhiyuan Li, Lin Wang, Jile Hu, Liangkai Zhang, Jiong Liu (Epic), Agnes Zhang, Jingwei Guo, Jiaqi Wang, Yao Zhou (PhD@ASU), Dawei Zhou (PhD@ASU), Yun Zhou, Ge Ma (PhD@Brandeis), Yingru Tian TEAM Program: Augustine Baretto (start-up), Bowei Zhang Former Undergraduate Students CS Program: Kelly He (Ernst & Young), Trevor Whitestone, Chester Holtz (UCSD), Yiheng Zhou (CMU), Yuntao Zhou (CMU), Honglin Zheng (UCLA), Xuefeng Peng (Harvard), Kevin Chi, Zhishen Pan, Jiagen Zheng (UCSD), Jingyao Zhan (UCSD), Zoe Tiet, Raina Langevin, Jake Schechner, Caesar De Hoyos, Kuan Wang (PhD@U Penn), Lee Murphy, Jacob Niebloom, Kezhen Chen (PhD@Northwestern), Chunpai Wang (PhD@Albany), Andrew Nocka (Charles Schwab), Simon Weber (Hacker School) Math/Stats/Applied Math Program: Danning Zheng (Bloomberg) Economy Program: Alex Feiszli Special Notes: - Class of 2018 students: Please use my URCS email to set up appointments with me. - Prospective PhD Students: Applicants are expected to have strong skills in both programming and mathematics , as well as research experience in closely related areas. Grades alone won't cut it. "I worked on a gazillion of projects" (but have no evidence) is a no-no. Research publications in ranked venues of computer vision , machine learning , or data mining is a plus (and the only reason you need to contact me directly). Sorry but generic spams will be ignored. To apply, check http://www.cs.rochester.edu/graduate/phd-program. - Prospective Visitors (Faculty/PhD Student): You must have your advisor/mentor vouch for you, if you have not personally worked with me. - Postdoc Applicants: There is NO opening at present. - Reference Letter Seekers: You must have your advisor/mentor vouch for you, if you have not personally worked with me. - Internship Seekers: We do NOT host summer interns unless there is a pre-existing arrangement. Research is a Journey not for the Faint-hearted Do you have what it takes to be a successful PhD student? The initial threshold is 4 out of 7 Grit Zest Self-control Optimism Gratitude Social intelligence Curiosity Curious how I evalaute students ? Be the best you can be . You can be the best. Battle Hymns Hall of Fame (The Script) Exchange Prof. Eckehard Steinbach (08/29/2013) Prof. Honglak Lee (10/14/2013) Prof. Ruslan Salakhutdinov (10/17/2013) Prof. Bill Freeman (10/25/2013) Prof. James Rehg (10/02/2014) Free access and statistics provided by the ACM Digital Library Back to the top diff --git a/src/data/compiled_bios/4747.txt b/src/data/compiled_bios/4747.txt new file mode 100644 index 0000000000..bf97e4262d --- /dev/null +++ b/src/data/compiled_bios/4747.txt @@ -0,0 +1 @@ + Randal C. Nelson Associate Professor Department of Computer Science University of Rochester Rochester, NY 14627-0226 Office: Wegmans Hall 3009 Email: Phone: (585) 275-8848; Fax: (585) 273-4556 On facebook Snakebot: An Extensible Slitherer Centibot: A Modular Legged Platform Field Guide to the Wildflowers of Brighton Town Park The CSC200 2012 Millennium Artifact Disclaimer: The views, opinions and material expressed here are those of the author and have not been reviewed or approved by the University of Rochester. URCS Faculty Directory URCS Home Page Old CS Pages diff --git a/src/data/compiled_bios/4748.txt b/src/data/compiled_bios/4748.txt new file mode 100644 index 0000000000..dc1368801d --- /dev/null +++ b/src/data/compiled_bios/4748.txt @@ -0,0 +1 @@ + Sreepathi Pai Assistant Professor, Computer Science Affiliate Faculty in the Goergen Institute for Data Science 3409 Wegmans Hall Department of Computer Science, University of Rochester sree [at] cs rochester edu 585 276 2391 Nullius in verba Research I am an experimental computer systems researcher interested in the performance of computer programs. To that end, I work in compilers, computer architecture, and the implementation of programming languages. If you're a student wanting to work with me, please read this note for prospective students. My research aims to make it easier to write high-performance programs on increasingly complex machines. I work on heterogeneous accelerator-based systems consisting of CPUs and GPUs. My most recent work has revolved around optimizing compilers for high-performance irregular/graph algorithms on GPUs. I am also developing performance models for graph algorithms on GPUs. If you are developing hand-written irregular/graph algorithm implementations for GPUs, please consider dropping me a line to get access to our compiler. Publications Hongyuan Liu , Mohamed Ibrahim , Onur Kayiran, Sreepathi Pai, Adwait Jog, Architectural Support for Efficient Large-Scale Automata Processing, To appear in MICRO 2018 , Fukuoka, Japan, Oct 2018 [Lightning Talk Video] Dong Chen, Fangzhou Liu, Chen Ding, Sreepathi Pai, Locality Analysis through Static Parallel Sampling, PLDI 2018 , Philadelphia, PA, USA, June 2018 [acm dl version via SIGPLAN OpenTOC] Ahmet Celik, Sreepathi Pai, Sarfraz Khurshid, Milos Gligoric, Bounded Exhaustive Test-Input Generation on GPUs, OOPSLA 2017 , Vancouver, CA, October 2017 [acm dl open access] Chad Voegele, Yi-Shan Lu, Sreepathi Pai, Keshav Pingali, Parallel Triangle Counting and k-Truss Identification using Graph-centric Methods , IEEE/Amazon/DARPA GraphChallenge 2017@IEEE HPEC , Waltham, MA, September 2017 (GraphChallenge Champion) [pdf] Sreepathi Pai, M. Amber Hassaan, Keshav Pingali, An Operational Performance Model of Breadth-First Search, AGP@ISCA 2017 , Toronto, Canada, June 2017 [pdf] Tal Ben-Nun, Michael Sutton, Sreepathi Pai, Keshav Pingali, Groute: An Asynchronous Multi-GPU Programming Model for Irregular Computations, PPoPP 2017 , Austin, TX, USA, February 2017 (Best Paper Nominee) [pdf] [source] Xulong Tang, Ashutosh Pattnaik, Huaipan Jiang, Onur Kayiran, Adwait Jog, Sreepathi Pai, Mohamed Ibrahim, Mahmut T. Kandemir, Chita Das, Controlled Kernel Launch for Dynamic Parallelism in GPUs, HPCA 2017 , Austin, TX, USA, February 2017 Sreepathi Pai, Keshav Pingali, A Compiler for Throughput Optimization of Graph Algorithms on GPUs, OOPSLA '16 , Amsterdam, Netherlands, November 2016 [preprint] Sreepathi Pai, Keshav Pingali, Modeling Performance of Graph Programs on GPUs in a Compiler, ModSim 2016 , Seattle, WA, USA, August 2016 [abstract pdf] [slides] Rashid Kaleem, Anand Venkat, Sreepathi Pai, Mary Hall, Keshav Pingali, Synchronization Trade-offs in GPU implementations of Graph Algorithms, IPDPS '16 , Chicago, IL, USA, May 25, 2016 [pdf] Rashid Kaleem, Sreepathi Pai, Keshav Pingali, Stochastic gradient descent on GPUs, Proceedings of the 8th Workshop on General Purpose Processing using GPUs, GPGPU 8 , San Francisco, CA, USA, February 8, 2015, [pdf] Sreepathi Pai, R. Govindarajan, Matthew J. Thazhuthaveetil, Preemptive Thread Block Scheduling with Online Structural Runtime Prediction for Concurrent GPGPU Kernels (Poster), PACT '14 , Edmonton, AB, Canada, August 24, 2014, [extended abstract pdf] [poster pdf] [full pre-review paper] Sreepathi Pai, Matthew J. Thazhuthaveetil, R. Govindarajan, Improving GPGPU Concurrency with Elastic Kernels, ASPLOS '13 , Houston, USA, March 20, 2013 [abstract] [pdf] [source code] Sreepathi Pai, R. Govindarajan, Matthew J. Thazhuthaveetil, Fast and Efficient Automatic Memory Management for GPUs using Compiler-Assisted Runtime Coherence Scheme, PACT '12 , Minneapolis, USA, September 19, 2012 [abstract] [pdf] [source code] Sreepathi Pai, R. Govindarajan, M. J. Thazhuthaveetil, PLASMA: Portable Programming for SIMD Heterogeneous Accelerators, Workshop on Language, Compiler, and Architecture Support for GPGPU, held in conjunction with HPCA/PPoPP 2010 , Bangalore, India, January 9, 2010 [abstract] [pdf] Sreepathi Pai, R. Govindarajan, M. J. Thazhuthaveetil, Limits of Data-Level Parallelism, Poster session at the Fourteenth International Conference on High Performance Computing (HiPC 2007) , Goa, India, December 18--21, 2007 [abstract] [pdf] Teaching/Courses CSC 2/455: Software Analysis and Improvement [aka Advanced Compilers] (Spring 2019) CSC 573/293: Synthesis of Systems (Fall 2018) CSC 2/458: Parallel and Distributed Systems (Spring 2018) CSC 573: Topics on Systems for Heterogeneous Architectures (Fall 2017) CSC 2/466 (ECE 2/406): Introduction to Parallel Computing using GPUs (Fall 2017) Recent Invited Talks AMD Research, Austin, Bottlenecks in the Fastest GPU Graph Applications, Feb 13, 2017 NVIDIA Graphics Technology Conference, Automatic Compiler-Based Optimization of Graph Analytics for the GPU, May 8--11, 2017 [slides] Other Technical Stuff Microbenchmarking Unified Memory in CUDA 6.0 , looks at CUDA Unified Memory performance on the Kepler K20Xm. " How the Fermi Thread Block Scheduler Works (Illustrated) ", if you've ever wondered. diff --git a/src/data/compiled_bios/4749.txt b/src/data/compiled_bios/4749.txt new file mode 100644 index 0000000000..e4fc7f819d --- /dev/null +++ b/src/data/compiled_bios/4749.txt @@ -0,0 +1 @@ + Last Updated : September 6, 2018 CONSTRAINED CHAOS Office Hours 2101 Wegmans Hall Monday 11:00am-12:30pm Wednesdays 1:30pm-2:30pm email : pawlicki at cs dot rochester dot edu My Courses CSC160 Engineering Computation CSC186 Video Game Programming CSC170 Web Programming CSC171 Science of Programming (JAVA) CSC172 Science of Data Structures CSC214 Mobile App Development - Android CSC240/440 Data Mining diff --git a/src/data/compiled_bios/475.txt b/src/data/compiled_bios/475.txt new file mode 100644 index 0000000000..b1a8989a99 --- /dev/null +++ b/src/data/compiled_bios/475.txt @@ -0,0 +1 @@ +Risi Kondor homepage Risi Kondor Associate Professor Department of Computer Science (Crerar 325) Department of Statistics, and the Computational and Applied Mathematics Initiative (CAMI) (Jones 122A) The University of Chicago NEW: R. Kondor, Z. Lin and S. Trivedi: Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network (NeurIPS 2018) NEW: T. Son Hy, S. Trivedi, H. Pan, B. M. Anderson and R. Kondor: Predicting Molecular Properties with Covariant Compositional Networks (JCP special issue on data enabled theoretical chemistry, June 2018) [pdf] NEW: R. Kondor: N-body networks: a covariant hierarchical neural network architecture for learning atomic potentials (preprint 3/5/18) NEW: R. Kondor and S. Trivedi: On the generalization of equivariance and convolution in neural networks to the action of compact groups (ICML 2018) [poster] [slides] Current Research Multiresolution/multiscale matrix factorizations Machine learning for many-particle physics Learning (on) graphs and other combinatorial structures Permutation problems and Fourier analysis on the symmetric group NEW: Generalized covariant neural network architectures Postdoc Brandon Anderson Students Yi Ding (CS PhD, 4th year) Jonathan Eskreis-Winkler (Stats PhD, 5th year) Hy Truong Son (CS PhD, 3rd year) Pramod K Mudrakarta (CS PhD, 5th year) Horace Pan (CS PhD, 4th year) Other student collaborators Vikas Garg (MIT) Shubhendu Trivedi (TTI-C) Graduatedstudents Nedelina Teneva (Amazon) Maia Fraser (assistant prof. at the University of Ottawa) Courses Winter 2019: CMSC 25400/STAT 27725 Machine Learning (undergraduate) Spring 2019: STAT 37710/CMSC 35400 Machine Learning (graduate) Spring 2019: CMSC 35401-1 Topics: High performance ML system design --> Recent papers R. Kondor, Z. Lin and S. Trivedi: Clebsch-Gordan Nets: a Fully Fourier Space Spherical Convolutional Neural Network (preprint 6/24/18) T. Son Hy, S. Trivedi, H. Pan, B. M. Anderson and R. Kondor: Predicting Molecular Properties with Covariant Compositional Networks (JCP special issue on data enabled theoretical chemistry, June 2018) [pdf] R. Kondor: N-body networks: a covariant hierarchical neural network architecture for learning atomic potentials (preprint 3/5/18) R. Kondor and S. Trivedi: On the generalization of equivariance and convolution in neural networks to the action of compact groups (ICML 2018) R. Kondor, Hy Truong Son, Horace Pan, Brandon Anderson, Shubhendu Trivedi: Covariant compositional networks for learning graphs (preprint) [PyTorch code] [GraphFlow] [video] Y. Ding, R. Kondor and J. Eskreis-Winkler: Multiresolution kernel approximation for Gaussian process regression (NIPS 2017) P. K. Mudrakarta and R. Kondor: A generic multiresolution preconditioner for sparse symmetric systems (preprint) K. Rajendran, A. A. Kattis, A. Holiday, R. Kondor and I. G. Kevrekidis: Data mining when each data point is a network (to appear in "Patterns of Dynamics", Springer Proceedings) V. Ithapu, R. Kondor and V. Singh: The Incremental Multiresolution Matrix Factorization Algorithm (CVPR 2017) R. Kondor and H. Pan: The Multiscale Laplacian Graph Kernel (NIPS 2016 oral presentation) [arXiv] [code] [slides] N. Teneva, P. K. Mudrakarta and R. Kondor: Multiresolution Matrix Compression (AISTATS 2016, winner of notable student paper award) R. Kondor, N. Teneva and P. K. Mudrakarta: Parallel MMF: a Multiresolution Approach to Matrix Computation (arXiv preprint, July 2015) [pMMF library] G. Plumb, D. Pachauri, R. Kondor and V. Singh: SnFFT: a Julia Toolkit for Harmonic Analysis on the Symmetric Group (JMLR 2015) D. Pachauri, R. Kondor, G. Sargur and V. Singh: Permutation diffusion maps with application to the image association problem in computer vision (NIPS 2014) R. Kondor, N. Teneva and V. Garg: Multiresolution Matrix Factorization (ICML 2014) [supplement] [video] Recent events Multiresolution Methods for Large Scale Learning workshop at NIPS 2015 [videos] IMA Summer School on Modern Applications of Representation Theory Chicago, July 21 - August 6, 2014 (co-organized with Jason Morton and Lek-Heng Lim) [videos] Software SnOB: a C++ library for computing fast Fourier transforms on the symmetric group pMMF: a high performance C++ library for parallel Multiresolution Matrix Factorization Mondrian: C++ parallel blocked matrix library GraphFlow: a C++ deep learning library with support for covariant compositional architectures (Hy Truong Son) Links All papers by topic Curriculum Vitae Detached threads blog (function(i,s,o,g,r,a,m){i[\'GoogleAnalyticsObject\']=r;i[r]=i[r]||function(){ (i[r].q=i[r].q||[]).push(arguments)},i[r].l=1*new Date();a=s.createElement(o), m=s.getElementsByTagName(o)[0];a.async=1;a.src=g;m.parentNode.insertBefore(a,m) })(window,document,\'script\',\'//www.google-analytics.com/analytics.js\',\'ga\'); ga(\'create\', \'UA-66625711-1\', \'auto\'); ga(\'send\', \'pageview\'); var sc_project=10589244; var sc_invisible=1; var sc_security="8f352fe2"; var scJsHost = (("https:" == document.location.protocol) ? "https://secure." : "http://www."); document.write(""); diff --git a/src/data/compiled_bios/4750.txt b/src/data/compiled_bios/4750.txt new file mode 100644 index 0000000000..0ccfe0139e --- /dev/null +++ b/src/data/compiled_bios/4750.txt @@ -0,0 +1 @@ + Lenhart K. Schubert Professor Computer Science Department Rochester, NY 14627-0226 Email: lastname AT cs DOT rochester DOT edu Fax: (585) 273-4556 Ph.D. (1970) University of Toronto. Assistant Professor (73-77), Associate Professor (77-84), Professor (84-88); University of Alberta. Professor (88-present), University of Rochester. I am also a member of the Center for Language Sciences (CLS) . My research interests center around language, dialogue agents, knowledge representation, inference and planning. These interests are tied together by the general goal of developing agents with common sense, self-awarenes, self-motivation, and the ability to converse and acquire knowledge through language. Some specific topics my collaborators and I have worked on include very expressive, language-like logics to capture the content of ordinary language and commonsense reasoning as directly as possible; the most recent is called Episodic Logic ; schemas (subsuming scripts, frames, and plans) for guiding understanding and behavior (including dialogue); semantics of events/situations, tense/aspect, reference, affixes, mass terms, generic sentences, belief, questions, vagueness; efficient, specialized inference techniques for taxonomies, part-structure, temporal relations, and other classes of relations that pervade commonsense knowledge and are handled effortlessly by people; rule-based probabilistic inference using algebraic probabilities; high-fidelity semantic parsing, allowing for the full expressivity of natural language; natural-logic-like inference based on unscoped logical forms; development of implementations of scalable inference engines for Episodic Logic integrating general deductive, probabilistic, and specialized inference mechanisms; Deriving general world knowledge from texts and taxonomies , as an attack on the "knowledge acquisition bottleneck" in AI; the current system is called KNEXT (KNowledge EXtraction from Text). reasoning about plans and actions, in support of both language understanding (e.g., conversation planning and inferring the goals and plans of story characters) and domain reasoning (e.g., formulating plans of action in a transportation domain); automatically discovering invariants in planning domains -- see the DISCOPLAN system; solving the Frame Problem using "explanation closure". Office hours, Fall 2013: Tuesday and Thursday, 5:00-6:30 (or by appt.) Current and recent courses: CSC 191/291 (Topics in Computer Science): Machines and Consciousness DSC 530 (module on NLP) CSC 244/444: Knowledge Representation and Reasoning in AI CSC 247/447: Natural Language Processing CSC 280: Computer Models and Limitations CSC 242: Artificial Intelligence Present research collaborators: M. Ehsan Hoque: Virtual humans for conversation training James Allen: Dialogue processing, deep understanding Greg Carlson (Linguistics): Semantics of action and event nominals Gene Kim: High-fidelity semantic parsing, knowledge acquisition Zahra Razavi: Dialogue management in a virtual human Georgiy Platonov: Modeling spatial relations Lane Lawley: Schema learning Benjamin Kane: Dialogue design for a virtual human Siddharth Vashishta (Linguistics): turn-taking corpus annotation Sapphire Becker (Linguistics): Logical form annotation for semantic parsing Shuwen Zhang: Sentiment analysis in dialogue, turn-taking corpus annotation Zining Wen: Sentiment analysis system using word occurrence patterns Burkay Donderici: Logical form annotation for semantic parsing, spatial relation judging Adam Purtee: Pattern transduction, rule-based probabilistic inference Alfonso Gerevini: (U. Brescia): Efficient domain-independent planning Some past research collaborators (as of 1988): Jonathan Gordon (Ph.D. 2014, U of R), now at ISI: Inferential commonsense knowledge from text Daphne Liu (Ph.D. 2012, U of R), now at Sales Force: Self-motivated cognitive agent design Benjamin Van Durme (Ph.D. 2010, U of R), now at Johns Hopkins U: Extracting implicit knowledge from text Fabrizio Morbini (Ph.D. 2009, U of R), now at Tact.ai: Computational infrastructure for a self-aware agent Akihiro Minami (U of R undergrad): Logical form annotation for semantic parsing corpus; spatial relation judging Tianyi Ma (U of R MS student): Dialogue turn-taking annotation; logical form annotation for semantic parsing Eric Bigelow (U of R undergrad), now M.S. grad at U of R: Imagistic modeling for story understanding Daniel Scarafoni (U of R undergrad), now MS grad at U of R: Imagistic modeling for story understanding Alex Wilson (U of R undergrad): Imagistic modeling for story understanding David Sekora (U of R undergrad), now Ph.D. candidate, UMD: Verb argument structure compilation, schema building Adina Rubinoff (U of R undergrad), now at Factset, Norwalk, CT: Acquiring lexical meaning postulates via VerbNet Ting Qian (U of R undergrad, then Ph.D.), now data scientist at The Children's Hospital of Philadelphia: Class attribute extraction, lexical semantics Henry Kyburg, Jr.: http://www.cs.rochester.edu/dept/news/kyburg_obituary.shtml Proshanto Mukherji: (Ph.D. 2006, U of R), now an Associate at Fish & Richardson in Boston, after earning a JD at Harvard Law School: Discovering Laws as Anomalies in Logical Worlds Tom Weingarten (U of R undergrad), subsequently NYU PhD, now CTO at Delve News, New York: Using pulse train to compute probabilities in Bayesian networks David Ahn: (Ph.D. 2004, U of R), now computational semanticist at Google: Semantics/pragmatics of adverbially quantified sentences Teresa Zollo: (Ph.D. 2003, U of R), now at Ithaca College: Recovery from speech recognition errors Matthew Tong: (B.Sc. 2003, U of R), now at IBM's Austin Research Lab: Mining general world knowledge from texts Amon Seagull (Ph.D. 2000, U of R), now IT and Portfolio Manager, Magic Leap, Fort Lauderdale: Well-foundedness and reliability in natural language parsing Aaron Kaplan: , (Ph.D. 2000, U of R), now lead software engineer at NewsCred, New York, after 10 years at XRCE, Grenoble: A computational model of belief Mark Core (Ph.D. 2000, U of R), now at the Institute for Creative Technologies, Playa Vista, CA: Dialog parsing: From speech repairs to speech acts Marc Light (Ph.D. 1995, U of R), now senior scientist at WindLogics , St. Paul: Morphological cues for lexical semantics Massimo Poesio (Ph.D. 1994, U of R), now at Queen Mary University, U.K.: Assigning semantic scope to operators in dialogues Chung Hee Hwang (Ph.D. 1992, U of Alberta), now retired from GE Global Research, Schenectady, NY: A logical approach to narrative understanding, Episodic Logic Alice Kyburg (Ph.D. 1994, U of R), now at U. Wisconsin at Oshkosh: Pragmatic and semantic accounts of vagueness Stephanie Schaeffer (M.S. 1988, U of Alberta), systems prog., 1988-92: Temporal reasoning, hybrid reasoning, EPILOG development Jeffry Pelletier (Professor, U. Alberta): Semantic interpretation, semantics of mass terms and generics Fahiem Bacchus (Ph.D. 1988, U of Alberta), now at U. Toronto: Representing and reasoning about probabilistic knowledge Caoan Wang (Ph.D. 1988, U of Alberta), now at Memorial U. of Newfoundland: Computational geometry Professional activities and awards KR'98 program co-chair ACL'93 program chair CSCSI'80 program chair ACM Trans. on Computational Logic editorial board (2007-pres) JAIR editorial board (1996-1999) Computational Intelligence editorial board (1985-2003) Computational Linguistics editorial board (1983-5) Fellow of the AAAI (elected in 1993 for "fundamental contributions in NLP, esp. in the formalization, representation, and practical implementation of non-first order concepts") Alexander von Humboldt Fellow (1978-9) Associate of the Canadian Institute for Advanced Research (1985-88) Outstanding Contribution award for the KR'89 paper (with C.H. Hwang), "An episodic knowledge representation for narrative texts" Selected Publications (underlined titles provide pdf files in most cases) A.E. Gerevini and L.K. Schubert, "Discovering state constraints for planning with conditional effects in DISCOPLAN (Part I)" , to appear in Annals of Mathematics and Artificial Intelligence (AMAI). This is a post-peer-review, pre-copyedit version of the article. The final authenticated version will become available online at: http://dx.doi.org/10.1007/s10472-019-09618-w. M.R. Ali, Z. Razavi, A. Al Mamun, R. Langevin, R. Rawassizadeh, L.K. Schubert, and M. E. Hoque, "A virtual conversational agent for teens with autism: Experimental results and design lessons" , CoRR , arXiv:1811.03046, Nov. 22, 2018. URL: https://arxiv.org/abs/1811.03046. G. Platonov and L.K. Schubert, "Computational models for spatial prepositions" , Proc. of the 1st Int. Workshop on Spatial Language Understanding , New Orleans, LA, June 6, 2018, pp. 21--30. S.Z. Razavi, L.K. Schubert, M.R. Ali, and M.E. Hoque, "Managing casual spoken dialogue using flexible schemas, pattern transduction trees, and gist clauses" , 5th Ann. Conf. on Advances in Cognitive Systems (ACS 2017), Rensselaer Polytechnic Institute, Troy, NY, May 12-14, 2017. ( Version at ACS 2017 site ) A. Purtee and L.K. Schubert, "Simple rules for probabilistic commonsense reasoning" , 5th Ann. Conf. on Advances in Cognitive Systems (ACS 2017), Rensselaer Polytechnic Institute, Troy, NY, May 12-14, 2017. (This version is corrected from the slightly flawed ACS conference version .) Gene Kim and Lenhart Schubert, "Intension, attitude, and tense annotation in a high-fidelity semantic representation" , in Proc. of the Workshop on Computational Semantics Beyond Events and Roles (SemBEaR), Valencia, Spain, April 4, 2017. S.Z. Razavi, M.R. Ali, T.H. Smith, L.K. Schubert, and M.E. Hoque, "The LISSA virtual human and ASD teens: An overview of initial experiments" , 16th Int. Conf. on Intelligent Virtual Agents (IVA 2016), Los Angeles, Sept. 20-23. Gene Kim and Lenhart Schubert, "High-fidelity lexical axiom construction from verb glosses" , Proc. of the 5th Joint Conf. on Lexical and Computational Semantics (*SEM 2016), pp. 34-44, Berlin, Germany, August 11-12, 2016. L.K. Schubert, "What kinds of knowledge are required for genuine understanding" , IJCAI 2015 Workshop on Cognitive Knowledge Acquisition and Applications (Cognitum 2015), Buenos Aires, July 25, 2015. Slides of the talk (not delivered as planned -- thanks, American Airlines). L.K. Schubert, " Semantic representation ", 29th AAAI Conference (AAAI15), Jan. 25-30, 2015, Austin, TX. Slides of the talk . E. Bigelow, D. Scarafoni, L. Schubert, and A. Wilson, "On the need for imagistic modeling in story understanding" , Biologically Inspired Cognitive Architectures 11 , Jan. 2015, 22--28. (Presented at Ann. Int. Conf. on Biologically Inspired Computing Architectures (BICA 2014), Nov. 7-9, MIT, Cambridge, MA, 2014.) L.K. Schubert, "Computational linguistics" , in Edward N. Zalta (Principal Editor), Stanford Encyclopedia of Philosophy, CSLI, Stanford, CA.(100pp), 2014. L.K. Schubert, "From Treebank parses to Episodic Logic and commonsense inference" , Proc. of the ACL 2014 Workshop on Semantic Parsing, Baltimore, MD, June 26, ACL, 55-60. Daphne Liu and L.K. Schubert, "Towards self-motivated, cognitive, continually planning agents" , Computational Intelligence 31 (3), 385-417, August 2015. (First published online Jan.\ 21, 2014, DOI: 10.1111/coin.12029.) L.K. Schubert, "NLog-like inference and commonsense reasoning" , in A. Zaenen, V. de Paiva, & C. Condoravdi (eds.), Semantics for Textual Inference , special issue of Linguistic Issues in Language Technology (LiLT) 9(9), 2013. (The pdf file is a preliminary version, Dept. of Computer Science, University of Rochester, Oct. 2012.) Daphne Liu and L.K. Schubert, An infrastructure for self-motivated, continually planning agents in virtual worlds" , Tech. Rep. TR 985, Dept. of Computer Science, Univ. of Rochester, Rochester, NY 14627, Dec 2012. J. Gordon and L.K. Schubert, WordNet hierarchy axiomatization and the mass-count distinction" , 7th IEEE Int. Conf. on Semantic Computing (ICSC 2013), September 16-18, Irvine, CA, 2013. A. Purtee and L.K. Schubert, "TTT: A tree transduction language for syntactic and semantic processing" , EACL 2012 Workshop on Applications of Tree Automata Techniques in Natural Language Processing (ATANLP 2012), Avignon, France, Apr. 24, 2012. L.K. Schubert, J. Gordon, K. Stratos, and A. Rubinoff, "Towards adequate knowledge and natural inference" , in Proc. of AAAI Fall Symposium on Advances in Cognitive Systems (ACS '11), Arlington, VA, Nov. 4-6, 2011. K. Stratos, L.K. Schubert, & J. Gordon, "Episodic Logic: Natural Logic + reasoning" , Int. Conf. on Knowledge Engineering and Ontology Development, (KEOD'11), Oct 26-29, Paris, 2011. L.K. Schubert, B. Van Durme, and M. Bazrafshan, "Entailment inference in a natural logic-like general reasoner" , Common Sense Knowledge Symposium (CSK-10), AAAI 2010 Fall Symposium Series, Arlington, VA, November 11-13, 2010. Daphne Liu and L.K. Schubert, "Combining self-motivation with logical planning and inference in a reward-seeking agent" , Proc. of the Int. Conf. on Agents and Artificial Intelligence (ICAART 2010), vol. 2 (INSTICC Press), Valencia, Spain, Jan. 22-24, 2010, pp. 257-263. Jonathan Gordon and Lenhart Schubert, "Quantificational sharpening of commonsense knowledge" , Proc. of the AAAI Fall Symposium on Commonsense Knowledge, Arlington, VA, Nov. 11-13, 2010. L.K. Schubert, "From generic sentences to scripts" , IJCAI'09 Workshop W22, Logic and the Simulation of Interaction and Reasoning (LSIR 2), Pasadena, CA, July 12, 2009. F. Morbini and L.K. Schubert, "Evaluation of Epilog: A reasoner for Episodic Logic" , Commonsense'09, June 1-3, 2009, Toronto, Canada. Also available at http://commonsensereasoning.org/2009/papers.html L.K. Schubert, "Language Understanding as Recognition and Transduction of Numerous Overlaid Patterns" , AAAI Spring Symposium on Learning by Reading and Learning to Read, Mar 23-25, 2009, Stanford, pp. 94-96. D. Liu and L.K. Schubert, "Incorporating planning and reasoning into a self-motivated, communicative agent" , The 2nd Conf. on Artificial General Intelligence (AGI-09), Arlington, VA, March 6-9, 2009, pp. 108-113. B. Van Durme, P. Michalak, and L.K. Schubert, "Deriving generalized knowledge from corpora using WordNet abstraction" , 12th Conf. of the European Chapter of the Assoc. for Computational Linguistics (EACL-09), Mar. 30 - Apr. 3, 2009, Athens, Greece. L.K. Schubert and B. Van Durme, "Open extraction of general knowledge through compositional semantics" , Notebook of the NSF Symposium on Semantic Knowledge Discovery, Organization and Use, New York University, Nov. 14-15, 2008. F. Morbini and L.K. Schubert, "Metareasoning as an integral part of commonsense and autocognitive reasoning" , AAAI'08 Workshop on Metareasoning, July 13-14, 2008, Chicago, pp 155-162. Benjamin Van Durme, Ting Qian and Lenhart K. Schubert, "Class-driven attribute extraction" , COLING'08, Aug. 18-22, 2008, Manchester, UK. Benjamin Van Durme and Lenhart K. Schubert, "Open knowledge extraction using compositional language processing" , Symposium on Semantics in Systems for Text Processing (STEP 2008), September 22-24, 2008 - Venice, Italy. F. Morbini and L.K. Schubert, "Towards realistic autocognitive inference" , Logical Formalizations of Commonsense Reasoning , Papers from the AAAI Spring Symposium, Tech. Rep. SS-07-05, AAAI Press, Menlo Park, CA, March 26-28, Stanford, pp. 114-118, 2007. L.K. Schubert, "Implicit Skolemization: Efficient reference to dependent entities" , Research on Language and Computation 5 , April 2007, (special volume on Binding Theory, ed. by Alastair Butler, Ed Keenan, Jason Mattausch and Ken Shan), pp. 69-86. Pre-publication version (differing only in format); ESSLLI'04 talk . L.K. Schubert, "Turing's dream and the knowledge challenge" , 21st Nat. Conf. on Artificial Intelligence (AAAI'2006) , July 16-20, 2006, Boston, MA, AAAI Press, Menlo Park, CA, pp. 1534-8. P. Mukherji and L.K. Schubert, State-based Discovery and Verification of Propositional Planning Invariants" (submitted version -- final ICAI'06 papers currently not available electronically), Proc. of the Int. Conf. on Artificial Intelligence (ICAI'06), June 26-29, Las Vegas, CSREA Press, 2006. P. Mukherji and L.K. Schubert, "Discovering Planning Invariants as Anomalies in State Descriptions" , Proc. of the 2005 Int. Conf. on Automated Planning and Scheduling (ICAPS'05), June 5-10, Monterey, 2005. L.K. Schubert, "Some KR&R requirements for self-awareness" , 2005 AAAI Spring Symposium on Metacognition in Computation , Stanford University, March 21-23, 2005. L.K. Schubert, "A new characterization of probabilities in Bayesian networks" , Uncertainty in AI: Proc. of the 20th Conference (UAI 2004) , Banff, Canada, July 7-11. Extended version forthcoming as tech. rep., Dept. of Comp. Sci., Univ. of Rochester, Rochester, NY 14627-0226. L.K. Schubert and M.H. Tong, "Extracting and evaluating general world knowledge from the Brown corpus" , Proc. of the HLT/NAACL 2003 Workshop on Text Meaning , May 31, Edmonton, Alberta, Canada. ( postscript ) L.K. Schubert, "Semantics and knowledge representation" (pre-publication pdf). In W. Frawley (ed.), Int. Encyclopedia of Linguistics, Second Edition, Oxford Univ. Press, 2003. D. Ahn and L.K. Schubert, "A binary modality for reasoning about conjoined situations in a hybrid logic" , Proc. of the Workshop on Methods for Modalities 3 (M4M 3), LORIA (INRIA Lorraine), Nancy, France, Sept. 22-23, 2003. L.K. Schubert, "Can we derive general world knowledge from texts?" , M. Marcus (ed.), Proc. of the 2nd Int. Conf. on Human Language Technology Research (HLT 2002), March 24-27, San Diego, CA, pp. 94-97. ( postscript ) A. Gerevini and L.K. Schubert, "DISCOPLAN: An efficient online system for computing planning domain invariants" , Proc. of the 6th Eur. Conf. on Planning (ECP-01) , Toledo, Spain, September 12-14, 2001. (Also available in the ECP01 Proceedings .) A.N. Kaplan and L.K. Schubert, "Measuring and improving the quality of world knowledge extracted from WordNet" , Tech. Rep. 751, Dept. of Computer Science, Univ. of Rochester, May 2001. L.K. Schubert, "The situations we talk about" , in J. Minker (ed.), Logic-Based Artificial Intelligence , Kluwer, Dortrecht, 2000, 407-439. ( postscript ) A.N. Kaplan and L.K. Schubert, "A computational model of belief" , Artificial Intelligence 120 (1), June 2000, 119-160. A. Gerevini and L.K. Schubert, "Discovering state constraints in DISCOPLAN: Some new results" , Proc. of the 17th Nat. Conf. on Artificial Intelligence (AAAI'2000) , July 30-August 3, 2000, Austin, Texas. L.K. Schubert and C.H. Hwang, "Episodic Logic meets Little Red Riding Hood: A comprehensive, natural representation for language understanding" , in L. Iwanska and S.C. Shapiro (eds.), Natural Language Processing and Knowledge Representation: Language for Knowledge and Knowledge for Language , MIT/AAAI Press, Menlo Park, CA, and Cambridge, MA, 2000, 111-174. See MIT Press website for the book . L.K. Schubert, "Dynamic Skolemization" , in H. Bunt and R. Muskens (eds.), Computing Meaning, vol. 1 , Studies in Linguistics & Philosophy Series, Kluwer Academic Press, Dortrecht (also Boston, London), 1999, 219-253. A. Gerevini and L.K. Schubert, "Inferring state constraints for domain-independent planning" , Proc. of the 15th Nat. Conf. on Artificial Intelligence (AAAI-98), July 26-30, Madison, WI, 1998. M.G. Core and L.K. Schubert, "Implementing parser metarules that handle speech repairs and other disruptions" , 11th Int. FLAIRS Conference, Special Track on Natural Language Processing and Human-Computer Interaction , Sundial Beach, Florida, May 17-20, 1998. M.G. Core and L.K. Schubert, "Handling speech repairs and other disruptions through parser metarules" , AAAI Spring Symposium on Computational Models for Mixed Initiative Interaction , Mar. 24-16, Stanford U., 1997. M. Light and L.K. Schubert, "Knowledge representation for lexical semantics: Is standard first-order logic enough?" , in H. Bunt, L. Kievit, R. Muskens, and M. Verlinden (eds.), IWCS II: 2nd Int. Workshop on Computational Semantics, Tilburg University, Netherlands, Jan. 8-10, 1997. A. N. Kaplan and L.K. Schubert, "Simulative inference in a computational model of belief", in H. Bunt and R. Muskens (eds.), Computational Semantics , Studies in Linguistics & Philosophy Series, to appear. Preliminary version in H. Bunt, L. Kievit, R. Muskens, and M. Verlinden (eds.), IWCS II: Second International Workshop on Computational Semantics, Tilburg University, Netherlands, Jan. 8-10, 1997. Expanded version in Tech. Rep. 636, Dept. of Computer Science, U. Rochester, Rochester, NY 14627-0226, October 1997. L.K. Schubert, "Framing the donkey: Towards a unification of semantic representations with knowledge representations", AAAI Fall Symp. on Knowledge Representation Systems based on Natural Language, Nov. 9-11, Cambridge, MA, 1996. A. Gerevini and L.K. Schubert, "Accelerating partial-order planners: Some techniques for effective search control and pruning" , J. of Artificial Intelligence Research 5 , pp. 95-137, Sept. 1996. D. Traum, L.K. Schubert, M. Poesio, N. Martin, M. Light, C.H. Hwang, P. Heeman, G. Ferguson, J.F. Allen, "Knowledge representation in the TRAINS-93 conversation system", Int. J. of Expert Systems 9 (1), special issue on Knowledge Representation and Inference for Natural Language Processing, pp. 173-223, 1996. A. Gerevini and L.K. Schubert, "Computing parameter domains as an aid to planning", Proc. of the 3rd Int. Conf. on Artif. Intell. Planning Systems (AIPS-96) (B. Drabble, ed.), May 29-31, Edinburgh, The AAAI Press, Menlo Park, CA, pp. 94-101., 1996. L.K. Schubert and A. Gerevini, "Accelerating partial order planners by improving plan and goal choices", Proc. of the 7th Int. Conf. on Tools with AI (ICTAI'95), Nov. 5-8, Herndon, VA, 1995, pp. 442-450. Gerevini, A. and L. K. Schubert. "Efficient algorithms for qualitative reasoning about time", Artificial Intelligence 74 (2), pp. 207-248, 1995. J.F. Allen, L. K. Schubert, G. M. Ferguson, P. A. Heeman, C. H. Hwang, T. Kato, M. Light, N. G. Martin, B. W. Miller, M. Poesio, and D.R. Traum. "The TRAINS project: A case study in building a conversational planning agent," J. Experimental and Theoretical Artificial Intelligence 7 , 7-48, 1995. C.H. Hwang and L. K. Schubert, "Interpreting tense, aspect, and time adverbials: a compositional, unified approach'' , in D.M. Gabbay and H.J. Ohlbach (eds.), Proc. of the 1st Int. Conf. on Temporal Logic , July 11-14, Bonn, Germany, Springer-Verlag, pp. 238-264, 1994. L.K. Schubert, "Explanation closure, action closure, and the Sandewall test suite for reasoning about change" , J. of Logic and Computation 4 (5), Special Issue on Actions and Processes, pp. 679-799, 1994. Reprinted with minor changes in H.J. Levesque and F. Pirri (eds.), Logical Foundations for Cognitive Agents: Contributions in Honor of Ray Reiter , Springer, Berlin, 1999, pp. 325-351. A. Gerevini, L.K. Schubert, and S. Schaeffer. "The temporal reasoning tools TimeGraph-I-II.'' Proc. of the 6th IEEE Int. Conf. on Tools with Artificial Intelligence, Nov. 6-9, New Orleans, Louisiana, 1994. C.H. Hwang and L.K. Schubert ,"EL: A formal, yet natural, comprehensive knowledge representation" , Proc. of the 11th Nat. Conf. on Artificial Intelligence (AAAI-93), July 11-15, Washington, D.C., pp. 676-682. C.H. Hwang and L.K. Schubert, "Meeting the interlocking needs of LF-computation, deindexing, and inference: An organic approach to general NLU.'' In Proc. 13th Int. Joint Conf. on Artificial Intelligence, August, 1993. C.H. Hwang and L.K. Schubert, "Episodic Logic: A situational logic for natural language processing," In P. Aczel, D. Israel, Y. Katagiri, and S. Peters (eds.), Situation Theory and its Applications 3 (STA-3) , CSLI, 307-452, 1993. Corrigendum A. Kyburg and L.K. Schubert, "Reconciling sharp true/false boundaries with scalar vagueness" , 1st Conf. of the Pacific Assoc. for Computational Linguistics (PACLING 1993), Apr. 21-24, Simon Fraser Univ., Vancouver, Canada, 1993. L.K. Schubert, "Monotonic solution of the frame problem in the situation calculus: An efficient method for worlds with fully specified actions," in H. Kyburg, R. Loui and G. Carlson (eds.), Knowledge Representation and Defeasible Reasoning , Kluwer, Dortrecht, pp. 23-67, 1990. S.A. Miller and L.K. Schubert, "Time revisited" , Computational Intelligence 6 (2), 108-118, 1990. (A lower-resolution scanned pdf version is also available.) L.K. Schubert and C.H. Hwang, "An episodic knowledge representation for narrative texts" , Proc. of the 1st Int. Conf. on Principles of Knowledge Representation and Reasoning (KR-89), May 15-18, Toronto, Canada, pp. 444-458, 1989; ( Outstanding Contribution Award ); [the above link is to the scanned KR-89 Proceedings -- a very large file]; extended and revised version in Tech. Rep. 345, May 1990, Dept. of Comp. Science, Univ. of Rochester, May 1990. F.J. Pelletier and L.K. Schubert, "Mass Expressions" , in D. Gabbay & F. Guenthner (eds.), Handbook of Philosophical Logic, Vol. 4 , Reidel, Dortrecht, 327-407, 1989. [Expanded version reprinted in second edition [2003] of this Handbook, volume 10, pp. 265-350.] L.K. Schubert and F.J. Pelletier, "Generically speaking, or, using discourse representation theory to interpret generics" , in G. Chierchia, B. Partee, R. Turner (eds.), Property Theory, Type Theory, and Semantics, Vol. II , Kluwer, 193-268, 1989. [scanned: very large file] L.K. Schubert and F.J. Pelletier, "An outlook on generic statements" , in M. Krifka (ed.), Genericity in Natural Language , Proc. of the 1988 Tbingen Conference, SNS-Bericht 88-42, Universitt Tbingen, Biesingerstr. 10, D-7400 Tbingen, November 1988, 357-371. L.K. Schubert and F.J. Pelletier, "Problems in Representing the Logical Form of Generics, Bare Plurals, and Mass Terms" , in E. Lepore (ed.), New Directions in Semantics , Academic Press, 387-453, 1987. L.K. Schubert, M.A. Papalaskaris, and J. Taugher, "Accelerating deductive inference: Special methods for taxonomies, colours, and times" , in N. Cercone and G. McCalla (eds.), The Knowledge Frontier: Essays in the Representation of Knowledge , Springer-Verlag, New York, pp. 187-220, 1987. J. de Haan and L.K. Schubert, "Inference in a topically organized semantic net" , Proc. of the 5th Nat. Conf. on Artificial Intelligence (AAAI-86), August 11-15, Philadelphia, PA, pp. 334-338, 1986. L.K. Schubert, "Are there preference trade-offs in attachment decisions?" , Proc. of the 5th Nat. Conf. on Artificial Intelligence (AAAI-86), August 11-15, Philadelphia, PA, pp. 601-605, 1986. F.J. Pelletier and L.K. Schubert, Two theories for computing the logical form of mass expressions" , Proc. of the 10th Int. Conf. On Computational Linguistics (COLING-84) , July 2-6, Stanford Univ., Stanford, CA, 108-111, 1984. L.K. Schubert, "On parsing preferences" , Proc. of the 10th Int. Conf. On Computational Linguistics (COLING-84) , July 2-6, Stanford Univ., Stanford, CA, 247-250, 1984. L.K. Schubert, M.A. Papalaskaris, and J. Taugher, "Determining type, part, color, and time relationships", , Computer 16 (10), Oct. 1983, 53-60. L.K. Schubert and F.J. Pelletier, From English to logic: Context-free computation of 'conventional' logical translations" , Am. J. of Computational Linguistics 8 [now Computational Linguistics ], 26-44, 1982. (Reprinted, with corrections, in B. Grosz, K. Spark-Jones, B. Webber (eds.), Readings in Natural Language Processing , Morgan Kaufmann, Los Gatos, CA, 293-311, 1986.) D.T. Johnson and L.K. Schubert, "A planning control strategy that allows for the cost of planning , Proc. of the 6th European Meeting on Cybernetics and Systems , Univ. of Vienna, Vienna, Austria, Apr. 13-16, 1982. L.K. Schubert, "On the representation of vague and uncertain knowledge" , Information Abstracts of the 7th Int. Conf. on Computational Linguistics , (COLING'78), Univ. of Bergen, Bergen, Norway, Aug. 14-18, 1978, paper 37. L.K. Schubert, "Extending the expressive power of semantic networks , Artificial Intelligence 7 , 163-198, 1976. Back to URCS Faculty directory Back to URCS Home Page diff --git a/src/data/compiled_bios/4751.txt b/src/data/compiled_bios/4751.txt new file mode 100644 index 0000000000..39d3250b78 --- /dev/null +++ b/src/data/compiled_bios/4751.txt @@ -0,0 +1 @@ + Michael L. Scott Arthur Gould Yates Professor of Engineering Computer Science Department Hajim School of Engineering and AppliedSciences Center for Energy & Environment Rochester, NY 14627-0226 3401 Wegmans Hall phone (585) 275-7745, 5478; fax2734556 UniversityPresidentialSearch PODC2019 2006 Dijkstra Prize in Distributed Computing Pressrelease Awardcitation Acceptancespeech Press Release for the Java6 SynchronousQueue ACM Fellow citation URpressrelease IEEE Fellow listing URCS 2003 Commencementaddress 2001 GoergenTeachingAward Acceptance speech HowITeachessay Last Lecture Named Professorship HSEAS Lifetime Achievement Award Bio&ResearchSummary Publications Courses Students PersonalLinks Research Projects Concurrency and Synchronization Release 7 of the RSTM Transactional Memory System for C++ pthreads programs Slides from an invited talk at the Workshop on Multicore Programming EducationMPE , in conjunction with ASPLOS 2009 Algorithms for Scalable Synchronization on Shared-Memory Multiprocessors , ( John M. Mellor-Crummey and M. L. Scott, ACMTOCS , Feb. 1991); recipient of the 2006 DijkstraPrize in Distributed Computing Scalable Synchronous Queues , (Bill Scherer, Doug Lea , and M. L. Scott), CACM Research Highlight, May 2009); based on Best Student Paper award recipient from PPoPP 2006 First-Class Operating System Management of Computational Accelerators DPR/TARDIS: Deterministic Parallel Ruby InterWeave: A Middleware System for Distributed Shared State CASHMERe: Coherent Shared Memory for Next-Generation Networks and Multiprocessors Programming Language Pragmatics , Fourth Edition Shared-Memory Synchronization Published December, 2015 Third edition copyright 2009 Second edition copyright 2006 First edition copyright 2000 Look for it in your favorite bookstore, or on-line. Published June, 2013 Download it from Morgan & Claypool , or check your library for a series subscription. Click here for a list of known errata. Courses CSC 2/458: Parallel and Distributed Systems (Spring 2019) CSC 299: Social Implications of Computing (Spring2018) CSC 2/454: Programming Language Design and Implementation (Fall2017) CSC 252: Computer Organization (Spring 2014) CSC 162: The Art of Data Structures (Spring2010) CSC 200: Undergraduate Problem Seminar (Introduction to Research) (Spring2004) CSC 173: Computation and Formal Systems (Fall 2001) CSC 2/456: Operating Systems (Spring 2000) Current Graduate Students Ryan Yates , Mohammad Hedayati-Goudarzi , (jointly supervised with Kai Shen ) Alan Beadle , Hensen Wen , Wentao Cai , Louis Jenkins , Ph.D. Graduates Joseph Izraelevitz , Concurrency Implications of Nonvolatile Byte-Addressable Memory, 2017. University of California, San Diego (postdocformerly at the IMDEA Software Institute, Madrid, Spain). Lingxiang Xiang , Compiler Assisted Speculation for Multithreaded Systems, 2015. Intel Labs, Santa Clara. Li Lu , Designing for the Simple Case in a Parallel Scripting Language, 2014. XunjingTechnology (formerly with Hortonworks. Konstantinos Menychtas (co-supervised by Kai Shen ), Fair, Protected OS-level Scheduling for Fast Computational Accelerators, 2014. Google, Inc. Luke D'Alessandro, Preserving the Appeal of Transactional Programming, 2013. Research Scientist at the University of Washington (formerly at Indiana University). Michael F. Spear , Fast Software Transactions, 2009. Lehigh University (tenure-track faculty). Virendra Marathe , Enhancing the Performance and Usability of Software Transactional Memory, 2008. Oracle (formerly Sun) Laboratories. William N. Scherer III, Synchronization and Concurrency in User-level Software Systems, 2005. Hewlett Packard, Houston (formerly research faculty at Rice University). Athanasios Papathanasiou, Power Efficiency through I/O Access Pattern Reshaping, 2005. Teradata Aster (formerly with Intel Corp). Grigorios Magklis, Increasing Energy Efficiency in Adaptive Architectures, 2005. ARM Holdings, Cambridge, England (formerly with Intel Corp.) Robert Stets, Leveraging Symmetric Multiprocessors and System Area Networks in Software Distributed Shared Memory, 1999. Google (formerly with Compaq Western Research Lab). Galen C. Hunt , Automatic Distributed Partitioning of Component-Based Applications, 1998. Microsoft Research. Maged Michael, Reducing the Overhead of Sharing in Shared-Memory Multiprocessors, 1997. Facebook (formerly at IBM's T. J. Watson Research Center). Leonidas Kontothanassis, Architectural and Operating System Support for Inexpensive, Efficient Shared Memory, 1995. Independent entrepreneur, Boston, MA (formerly with DEC/Compaq/HP Labs, Akamai, and Google). Bill Bolosky, Software Coherence in Multiprocessor Memory Systems, 1993. Microsoft Research. Ken Yap, PENGUIN: A Language for Reactive Graphical User Interfaces, 1990. Independent consultant, Sydney, Australia (formerly with CSIRO and CISRA). Peter Dibble, A Parallel Interleaved File System, 1989. Google, Pittsburgh (formerly with TimeSys Corp., Microware Systems Corporation, and the Iowa State University). (Picture courtesy of Erin Scott) Personal Links A Last Lecture , in the style of Randy Pausch , delivered in Dec. 2010. The Unitarian Universalist Association (UUA), representing over 1,000 liberal congregations in North America. Affirming the inherent worth and dignity of every person. In July 2011 I was interviewed for public radio's Interfaith Voices on the occasion of the UUA's 50th anniversary. Click here for audio (13 min): Your browser does not support the Dissertation . MS, Computer Science and Engineering, Ohio State University, 2015. MS, Computer Science and Engineering, IIT Kharagpur, 2011, Thesis . BE, Computer Science and Engineering, NIT Durgapur, 2005. Miscellaneous I love GNU Emacs, and maintain my Emacs configuration on Github. I have shared the LaTeX template that I used for my candidacy proposal and my PhD dissertation at Ohio State, since no LaTeX template is available from the graduate school web pages (as of August 2016). Updated: 14th February 2019. diff --git a/src/data/compiled_bios/5152.txt b/src/data/compiled_bios/5152.txt new file mode 100644 index 0000000000..dc6a6dc3c3 --- /dev/null +++ b/src/data/compiled_bios/5152.txt @@ -0,0 +1 @@ + Dr. Prabhakar T.V Home Publications Projects Teaching SESRes Lab Contact Me Professor Department of Computer Science and Engineering Indian Institute of Technology Kanpur Kanpur(U.P.) 208016, India Email: tvp@iitk.ac.in About Me Interested in building systems and is still excited about science and technology. I have worked in multiple areas like Databases, Logic Programming, User Interface Design, Internet Technologies, Software Architecture, Knowledge Modeling, Indian Language Technologies. I have worked with CMC R&D, Satyam Computer Services and have been a consultant to a large number of IT organizations and e-governance initiatives. My hobbies are bird watching, and playing with my daughter.> Quick Links mooKIT, The MOOC Management System Agropedia: Indian Agriculture Portal MOOC on Mobiles for Development Architecting Software For The Cloud Software Engineering & Sysetem Research GitaSuperSite: Multilingual Bhagavadgita with translations DBLP: Computer Science Bibliography IITK Academia.edu: Researchers' Social Networking Image Gallery IIT Kanpur Indian Institute of Technology Kanpur Indian Institute of Technology Kanpur carries out original research of significance and technology development at the cutting edge. It imparts training for students to make them competent, motivated engineers and scientists. The Institute not only celebrates freedom of thought, cultivates vision and encourages growth, but also inculcates human values and concern for the environment and the society. CSE Department Computer Science and Engineering Department Indian Institute of Technology Kanpur was the first Institute in India to start Computer Science education with the initial "computer-related" courses starting in August 1963 on an IBM 1620 system installed in the nation's first "computer classroom". The department continues to lead the nation in terms of excellence in research and teaching in Computer Science and Engineering. Computer Science and Engineering Department Indian Institute of Technology Kanpur diff --git a/src/data/compiled_bios/5153.txt b/src/data/compiled_bios/5153.txt new file mode 100644 index 0000000000..c727c4af03 --- /dev/null +++ b/src/data/compiled_bios/5153.txt @@ -0,0 +1 @@ + Home Publications Teaching Projects Students Vinay P. Namboodiri Associate Professor Department of Computer Science and Engineering IIT Kanpur Kalyanpur, Kanpur 208016 India Contact: vinaypn[at]iitk[dot]ac[dot]in Office# RM 406, CSE Department Phone # +91-5122596214 About Me I am a faculty member in the Computer Science and Engineering Department at IIT Kanpur Previously I have worked at Bell Labs Antwerp, been a Postdoctoral Fellow in KU Leuven with Prof. Luc Van Gool and obtained a Ph.D. while being guided by Prof. Subhasis Chaudhuri. I am interested in research in Computer Vision and Machine Learning. I am specifically interested in the following areas of research Visual Recognition with Scarce Supervision Language and Vision Human Motion Analysis Analysis of Sketches News I am involved in organizing the Mysore Park Workshop on Vision, Language and AI, (VLAI 2016) This is being co-oranized with Pushmeet Kohli, CV Jawahar and Venkatesh Babu Arnab Ghosh and Viveka Kulharia's paper on Contextual RNN-GANs for Abstract Reasoning Diagram Generation has been accepted to AAAI 2017. This work was in collaboration with Amitabha Mukerjee and Mohit Bansal. Congratulations! Rahul Arora's paper on SketchSoup: Exploratory Ideation using Design Sketches has been accepted to the Computer Graphics Forum Journal. Ishan Darolia also contributed to the work. This work was done in collaboration with Adrien Bousseau and Karan Singh. A video illustration of the work is available over here It will also be presented at Eurographics 2017 . Congratulations! Yeshi Dolma's paper on Using Gaussian Processes to Improve Zero-Shot Learning with Relative Attributes has been accepted to ACCV 2016 . Congratulations Yeshi! Aishwarya Jadhav's paper on Deep Attributes for One-Shot Face Recognition has been accepted for the ECCV 2016 workshop on Transferring and Adapting Source Knowledge in Computer Vision . Congratulations Aishwarya! Unnat Jain was awarded Cadence Gold Medal for the best thesis in 5 year programme across all departments in 2016. Unnat was also awarded the Director's gold medal for Outstanding all round achievement and leadership among students graduating in all 5-year undergraduate programmes. Double Congratulations Unnat! We are organizing the ACCV 2016 workshop on Assistive Vision I recently gave a talk in the IIITH Summer School for Deep Learning in Computer Vision I am serving as an Area Chair for the ICVGIP 2016 conference I served as an Area Chair for the WACV 2016 conference diff --git a/src/data/compiled_bios/5154.txt b/src/data/compiled_bios/5154.txt new file mode 100644 index 0000000000..a7f783646e --- /dev/null +++ b/src/data/compiled_bios/5154.txt @@ -0,0 +1 @@ + Jos Bento Ayres Pereira Boston College Computer Science Department Email: jose.bento at bc dot edu Address: St. Mary's Hall, 2nd floor S. Boston College, Chestnut Hill, MA 02467 Curriculum Vitae Advisees Postdoc opening Summer 2019 internship opening Publications B. Jia, S. Ray, S. Safavi, J. Bento, Efficient projection onto the perfect phylogeny model , NIPS 2018, [Code] J. Bento, T. Eliassi-Rad, S. Ioannidis, Graph metric spaces , KDD Tutorials 2018, [Website] L. Yang, J. Bento, J.-C. Lachance, and B. O. Palsson, Genome-scale estimation of cellular objectives , 2018 S. Safavi, J. Bento, n-metrics for multiple graph alignment , 2018 S. Safavi, J. Bento, Networks and large scale optimization , ODSC Tutorials 2018, [Code] J. Bento, S. Ioannidis, A Family of tractable graph distances , SDM 2018, [Code] S. Safavi, B. Joshi, G. Frana, J. Bento, An explicit convergence rate for Nesterov's method from SDP , ISIT 2018 J. Bento, R. Furmaniak, S. Ray, On the complexity of the weighted fused Lasso , IEEE Letters in Signal Processing 2018 G. Frana, J. Bento, How is distributed ADMM affected by network topology? , 2017 J. J. Zhu, J Bento, Generative adversarial active learning , NIPS 2017 Workshops and GPU Tech Conference 2017 G. Frana, J. Bento, Markov chain lifting and distributed ADMM , IEEE Letters in Signal Processing 2017 T. van Opijnen, S. Dedrick, J. Bento, Strain dependent genetic networks for antibiotic-sensitivity in a bacterial pathogen with a large pan-genome , Plos Pathogens 2016 J. Bento, J.J. Zhu A metric for sets of trajectories that is practical and mathematically consistent , 2016, [Comp] , [Video] G. Frana, J. Bento, Tuning over-relaxed ADMM , NIPS 2016 Workshops G. Frana, J. Bento, An explicit rate bound for the over-relaxed ADMM , ISIT 2016, [Video] N. Hao, A. Oghbaee, M. Rostami, N. Derbinsky, J. Bento, Testing fine-grained parallelism for the ADMM on a factor-graph , IPDPS 2016 Workshops and GPU Tech Conference 2016, [Code] C. Mathy, F. Gonda, D. Shmidt, N. Derbinsky, A. Alemi, J. Bento, F. Delle Fave, J. Yedidia, SPARTA: Fast global planning of collision-avoiding robot trajectories , NIPS 2015 Workshops N. Ben-Zvi, J. Bento, M. Mahler, J. Hodgins, A. Shamir, Line-Drawing video stylization , Computer Graphics Forum 2015, [Video] J. Bento, N. Derbinsky, C. Mathy, J. Yedidia, Proximal operators for multi-agent path planning , AAAI 2015, [Video] C. Mathy, N. Derbinsky, J. Bento, J. Rosenthal, J. Yedidia, The BF algorithm for online supervised and unsupervised learning , AAAI 2015 D. Krishnan, B. Freeman, J. Bento, D. Zoran, Shape and illumination from shading using the generic viewpoint assumption , NIPS 2014 J. Bento, N. Derbinsky, J. Mora, J. Yedidia, A message-passing algorithm for multi-agent trajectory planning , NIPS 2013, [Video] N. Derbinsky, J. Bento, J. Yedidia, Integrating knowledge with the TWA for hybrid cognitive processing , AAAI 2013 J. Bento, M. Ibrahimi, Support recovery for the drift coefficient of high-dimensional diffusions , IEEE IT 2013, [Video] J. Bento, S. Ioannidis, S. Muthu., J. Yan, A time and space efficient algorithm for contextual linear bandits , ECML 2013 N. Derbinsky, J. Bento, V. Elser, J. Yedidia, An improved three-weight message-passing algorithm , 2013, [Video 1] [Video 2] J. Bento, Learning graphical models, fundamental limits and efficient algorithms , PhD Thesis 2012 N. Damera, J. Bento, Ad Insertion in automatically composed documents , DocEng 2012 J. Bento, A. Montanari, On the trade-off between complexity and correlation decay in structural learning algorithms , 2011 J. Bento, N. Fawaz, A. Montanari, S. Ioannidis, Identifying users from their rating patterns , RecSys 2011 N. Damera, J. Bento, E. O'Brien, Probabilistic document model , DocEng 2011 J. Bento, M. Ibrahimi, A. Montanari, Information theoretic limits on learning stochastic differential equations , ISIT 2011, [Video] M. Bayati, J. Bento, A. Montanari, The LASSO Risk: asymptotic results and real world examples , NIPS 2010 J. Bento, M. Ibrahimi, A. Montanari, Learning networks of stochastic differential equations , NIPS 2010, [Video] J. Bento, A. Montanari, Which graphical models are difficult to learn? , NIPS 2009, [Video] diff --git a/src/data/compiled_bios/5155.txt b/src/data/compiled_bios/5155.txt new file mode 100644 index 0000000000..8dbb799bcd --- /dev/null +++ b/src/data/compiled_bios/5155.txt @@ -0,0 +1 @@ + Anjum Biswas M.S. Contact Email: anjum.biswas@bc.edu Education B.E., Thapar Institute of Engineering and Technology M.S., University of California, Irvine : diff --git a/src/data/compiled_bios/5156.txt b/src/data/compiled_bios/5156.txt new file mode 100644 index 0000000000..deecaaacff --- /dev/null +++ b/src/data/compiled_bios/5156.txt @@ -0,0 +1 @@ + William Griffith Ph.D. Contact St Mary's Hall S278 Telephone: 617-552-1703 Email: william.griffith@bc.edu Education Ph.D., Boston College Ph.D., University of Massachusetts Amherst Courses Technology and Culture Research Interests Ethics and Emergent Technologies Mindful Use of Technology : diff --git a/src/data/compiled_bios/5157.txt b/src/data/compiled_bios/5157.txt new file mode 100644 index 0000000000..8494008e81 --- /dev/null +++ b/src/data/compiled_bios/5157.txt @@ -0,0 +1 @@ + Peter Kugel Associate Professor (Retired) Research I study intelligence in minds and machines largely, but not exclusively, from a theoretical point of view. Publications diff --git a/src/data/compiled_bios/5158.txt b/src/data/compiled_bios/5158.txt new file mode 100644 index 0000000000..2d75acb64a --- /dev/null +++ b/src/data/compiled_bios/5158.txt @@ -0,0 +1 @@ + Vahid Montazerhodjat Ph.D. Contact St Mary's Hall S256 Telephone: 617-552-8003 Email: montazer@bc.edu Education B.S., Sharif University of Technology S.M., Massachusetts Institute of Technology Ph.D., Massachusetts Institute of Technology : diff --git a/src/data/compiled_bios/5159.txt b/src/data/compiled_bios/5159.txt new file mode 100644 index 0000000000..67a5c6d706 --- /dev/null +++ b/src/data/compiled_bios/5159.txt @@ -0,0 +1 @@ + Robert Muller I am an Associate Professor of Computer Science at Boston College . If you would like to discuss something related to my teaching or research, please contact me . My research is related to the reliabilty and performance of computer software. I worked on high-performance certifying compilers for higher-order typed programming languages such as Standard ML. I spent several years working as a founding member of the Church Project . Together with Robert Harper , I was a co-founder of the Types in Compilation (TIC) series of workshops. The TIC workshop series subsequently evolved into its current form: Types in Language Design and Implementation (TLDI) . Most of my earlier papers can be found here . I teach a variety of courses in the computer science curriculum. My schedule for the spring semester of the 2018-2019 academic year has me teaching CSCI 3366 Programming Languages . My office hours are a bit complicated, falling into three categories. I hold class office hours for students presently enrolled in my courses Mondays 1:30PM - 3:30PM and Tuesdays 10AM - noon. If you are not enrolled in one of my courses, you can see me during those hours but students presently enrolled in courses have priority. This means that you'll have to wait for an opening during those hours. I hold a CS Undergraduate Program Director office hour on Mondays between 3:30PM and 5PM. If you need to see me about Study Abroad or other issues unrelated to my courses, you can sign up for an appointment here . This weekly office hour is appointment only. If you are one of my CS Major Academic Advisees and you need to see me about course planning for the upcoming semester, you'll find an active make-an-appointment link here before registration begins. Otherwise my CS Major Academic Advisees can email me to make an appointment or see me during my class office hours, but students enrolled in current classes have priority. Thinking of asking me for a letter of recommendation? I may be able to help, but please read this first . Last modified on 2-1-2017. diff --git a/src/data/compiled_bios/516.txt b/src/data/compiled_bios/516.txt new file mode 100644 index 0000000000..504c2b4719 --- /dev/null +++ b/src/data/compiled_bios/516.txt @@ -0,0 +1 @@ +David McAllester Professor Toyota Technological Institute Professor, Part-TimeDepartment of Computer Science Email: mcallester@ttic.edu Phone: (773) 702-5562 Office: Toyota Technological Institute Website: http://ttic.uchicago.edu/~dmcallester/ Research: ai diff --git a/src/data/compiled_bios/5160.txt b/src/data/compiled_bios/5160.txt new file mode 100644 index 0000000000..ec05aef604 --- /dev/null +++ b/src/data/compiled_bios/5160.txt @@ -0,0 +1 @@ + Edward Sciore Associate Professor, Retired Computer Science Department Boston College Chestnut Hill, MA 02467 sciore at bc dot edu (email) Spring 2018 Teaching Schedule CSCI 3353 (Object Oriented Design): MWF 9-10, in Fulton 250 Office Hours: MWF from 10-12. My Status I have formally retired from BC, but I do teach occasionally on a part-time basis. I no longer have an office. If you want to contact me, the best way is via email. Some Books I Wrote Understanding APEX 5 Application Development . Apress Publishers, July 2015. Database Design and Implementation . John Wiley, October 2008. The book comes with a pedagogical database system called SimpleDB. For more information, click on the SimpleDB web page . diff --git a/src/data/compiled_bios/5161.txt b/src/data/compiled_bios/5161.txt new file mode 100644 index 0000000000..da59833afa --- /dev/null +++ b/src/data/compiled_bios/5161.txt @@ -0,0 +1 @@ + Associate Professor Robert Signorile Computer Science Department Boston College St. Mary's South Room 250 Chestnut Hill, MA 02467 Email me (617) 552-3936 (Voice) fax (617) 552-2097 (Fax) CS Page Publications Grants and Presentations Teaching Students Thesis ICAMES 2001 Last updated: Jan., 2012 diff --git a/src/data/compiled_bios/5162.txt b/src/data/compiled_bios/5162.txt new file mode 100644 index 0000000000..1c01afe24c --- /dev/null +++ b/src/data/compiled_bios/5162.txt @@ -0,0 +1 @@ + Howard Straubing straubin@cs.bc.edu Computer Science Department St. Mary's S251 Boston College Chestnut Hill, MA 02467 (617) 552-3977 (Voice) (617) 552-2097 (Fax) Teaching Spring 2019 CSCI2244-Randomness and Computation Teaching Fall 2018 CSCI1101-Computer Science 1 CSCI3390-Topics in Computer Science (Sec. 1):Computability and complexity Research Interests My area of specialization is the theory of computation. Most of my published work prior to 1989 consists of fundamental contributions to the theory of finite semigroups, and the relationship of this theory to the study of finite automata and the languages they accept. Much of my research since then was devoted to computational complexity theory, particularly the interplay among small-depth circuit complexity, automata, and finite model theory. In the past several years, I have returned to work on the algebraic theory of automata, this time applied to tree automata and their connection to predicate and temporal logic. Publications Backlinks Faculty Computer Science Department diff --git a/src/data/compiled_bios/5163.txt b/src/data/compiled_bios/5163.txt new file mode 100644 index 0000000000..e9c53bb7ed --- /dev/null +++ b/src/data/compiled_bios/5163.txt @@ -0,0 +1 @@ + Lewis Tseng Ph.D. Contact St Mary's Hall S273 Telephone: 617-552-0233 Email: lewis.tseng@bc.edu ORCID 0000-0002-4717-4038 Education B.S., University of Illinois at Urbana-Champaign B.S., University of Illinois at Urbana-Champaign Ph.D., University of Illinois at Urbana-Champaign Research Interests Distributed computing/systems, Fault-tolerant computing, Bitcoin, Blockchain-based systems, Cybersecurity issues in distributed systems, Applications in intelligent traffic systems : diff --git a/src/data/compiled_bios/5164.txt b/src/data/compiled_bios/5164.txt new file mode 100644 index 0000000000..833bf5fce6 --- /dev/null +++ b/src/data/compiled_bios/5164.txt @@ -0,0 +1 @@ + Emily Tucker Prud'hommeaux Home Publications Research Teaching CV Emily Tucker Prud'hommeaux Assistant Professor, Department of Computer Science Office: St. Mary's Hall South, 2nd Floor Email: prudhome@bc.edu Phone: 617-552-3975 Computer Science Department Boston College 140 Commonwealth Ave. Chestnut Hill MA 02467 My research focuses on natural language processing and speech signal processing for health and accessibility. Before coming to BC, I was an assistant professor at RIT , where I was co-founder of the Computational Linguistics and Speech Processing lab . Before that I was a postdoc at the University of Rochester, and before getting my PhD, I worked for several years at Nuance in the language modeling group. diff --git a/src/data/compiled_bios/5165.txt b/src/data/compiled_bios/5165.txt new file mode 100644 index 0000000000..c870d575c4 --- /dev/null +++ b/src/data/compiled_bios/5165.txt @@ -0,0 +1 @@ + Hsin-Hao Su Home Research Overview Publications Teaching and Service CV Personal Home Hsin-Hao Su I am an assistant professor in the Department of Computer Science at Boston College. I obtained my Ph.D. at University of Michigan (2010-2015), advised by Seth Pettie. Then, I was a postdoctoral associate in Nancy Lynch's group at MIT from 2015 to 2017. Research Interests: Distributed Algorithms motivated by sensor networks social networks Internet of Things robotics unmanned aerial vehicle The Locality of Basic Problems in Networks Bio-Inspired Algorithms 2013 Ashok Kumar P Works by ParokshaX is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License . You are free to use this template! Just replace the site's content & copyright information with yours Please do not email me asking questions Report Abuse | Powered By Google Sites diff --git a/src/data/compiled_bios/5166.txt b/src/data/compiled_bios/5166.txt new file mode 100644 index 0000000000..e7344381e1 --- /dev/null +++ b/src/data/compiled_bios/5166.txt @@ -0,0 +1 @@ + Maryam Jalalitabar Contact St. Mary's Hall S252 Email: jalalita@bc.edu Education B.S., K. N. Toosi University of Technology M.S., Georgia State University Ph.D., Georgia State University Research Interests Network Function Virtualization, Software Defined Networking, Machine Learning : diff --git a/src/data/compiled_bios/5167.txt b/src/data/compiled_bios/5167.txt new file mode 100644 index 0000000000..3cd6123af4 --- /dev/null +++ b/src/data/compiled_bios/5167.txt @@ -0,0 +1 @@ + Maria Samary Contact St. Mary's Hall S281 Email: marquemo@bc.edu : diff --git a/src/data/compiled_bios/5168.txt b/src/data/compiled_bios/5168.txt new file mode 100644 index 0000000000..a5320580c3 --- /dev/null +++ b/src/data/compiled_bios/5168.txt @@ -0,0 +1 @@ + Professor of Electrical Engineering and Computer Science A sample of Professor Abu-Mostafa's Machine Learning lectures What's New: My textbook Learning from Data is consistently one of Amazon's bestsellers in Machine Learning , and even Amazon's #1 in all categories of Computer Science repeatedly. My latest Scientific American article Machines that think for themselves , has been translated into a dozen languages, including Spanish , Italian , Arabic , Chinese , and Russian . My online course (MOOC) on machine learning has attracted more than 5 million views on YouTube and iTunesU since its launch as Caltech's first-ever live broadcast of a course. Also featured on edX . New results in matching data distributions. Here is the condensed version (5 patents pending). Welcome Yaser S. Abu-Mostafa is a Professor of Electrical Engineering and Computer Science at the California Institute of Technology, and Chairman of Machine Learning Consultants LLC . His main fields of expertise are machine learning and computational finance. He is the author of Amazon's machine learning bestseller Learning from Data . His MOOC on machine learning has attracted more than two million views. Dr. Abu-Mostafa received the Clauser Prize for the most original doctoral thesis at Caltech. He received the ASCIT Teaching Awards in 1986, 1989 and 1991, the GSC Teaching Awards in 1995 and 2002, and the Richard P. Feynman prize for excellence in teaching in 1996. He was the founding Program Chairman of the annual conference on Neural Information Processing Systems (NIPS), and a founding member of the IEEE Neural Networks Council. He chaired the second and fourth international conferences on Neural Networks in the Capital Markets (NNCM-94 and NNCM-96), and the sixth international conference on Computational Finance (CF-99). In 2005, the Hertz Foundation established a perpetual graduate fellowship named the Abu-Mostafa Fellowship in his honor. Dr. Abu-Mostafa currently serves on a number of scientific advisory boards, and has served as a technical consultant on machine learning for several companies, including Citibank for 9 years. He has numerous technical publications including 3 articles in Scientific American, as well as several keynote lectures at international conferences. Research Interests Machine Learning Computational Finance Pattern Recognition and Data Mining Information and Complexity Foundations of Probability and Statistics [Home] Research Teaching Publications Lectures Contact Online Course LEARNING FROM DATA 18 lectures on Machine Learning by Professor Abu-Mostafa Down Memory Lane Claude E. Shannon with a young Yaser Abu-Mostafa 2019 California Institute of Technology . All rights reserved. diff --git a/src/data/compiled_bios/5169.txt b/src/data/compiled_bios/5169.txt new file mode 100644 index 0000000000..5674a0657b --- /dev/null +++ b/src/data/compiled_bios/5169.txt @@ -0,0 +1 @@ + Bren Professor Mechanical and Civil Engineering Control and Dynamical Systems California Institute of Technology Office: 266 Gates-Thomas Email: ames at caltech dot edu Phone: 626-395-8750 AMBER Lab Website (updated frequently): www.bipedalrobotics.com YouTube Page (latest videos of my walking robots): http://www.youtube.com/user/ProfAmes My research interests center around theoretic methods in hybrid systems and nonlinear control, with a heavy emphasis on applications to bipedal robotic walking---both formally and through experimental validation. The theoretic foundations that I explore extend to a variety of application domains encompassing cyber-physical and autonomous systems, including: safety-critical control via control barrier functions, automotive applications, real-time optimization-based control, powered prostheses and robotic assistive devices. I received a BS in Mechanical Engineering and a BA in Mathematics from the University of St. Thomas in 2001. I received a MA in Mathematics and a PhD in Electrical Engineering and Computer Sciences and the University of California, Berkeley in 2006 with Shankar Sastry. I was a Postdoc at Caltech from 2006-2008 with John Doyle. At UC Berkeley, I was the recipient of the 2005 Leon O. Chua Award for achievement in nonlinear science and the 2006 Bernard Friedman Memorial Prize in Applied Mathematics. In 2010, I received both the NSF CAREER award for my research on bipedal robotic walking and its applications to prosthetic devices. I was the recipient of the 2015 Donald P. Eckman Award recognizing an outstanding young engineer in the field of automatic control. News and Notes: Tweets by @AMBER_lab "Abstractness, sometimes hurled as a reproach at mathematics, is its chief glory and its surest title to practical usefulness." -Eric Temple Bell "Good general theory does not search for the maximum generality, but for the right generality." -Mac Lane "The whole concept of a category is essentially an auxiliary one; our basic concepts are essentially those of a functor and of a natural transformation ." -Eilenberg and Mac Lane diff --git a/src/data/compiled_bios/517.txt b/src/data/compiled_bios/517.txt new file mode 100644 index 0000000000..8f865cae0d --- /dev/null +++ b/src/data/compiled_bios/517.txt @@ -0,0 +1 @@ +Diana Franklin Research Associate Professor and Lecturer Department of Computer Science Email: dmfranklin@cs.uchicago.edu Phone: (773) 702-4029 Office: JCL 201 Website: https://people.cs.uchicago.edu/~dmfranklin/ Biography Diana Franklin is a Research Associate Professor in Computer Computer Science and Director of Computer Science Education at UChicago STEM Education. She leads five computer science education research projects through CANON Research Lab involving students ranging from pre-K through university. She is the lead PI for quantum computing education for EPIQC, an NSF expedition in computing. Her research agenda explores ways to create curriculum and computing environments in ways that reach a broad audience. She is a recipient of the NSF CAREER award, NCWIT Faculty Undergraduate Mentoring Award, four teaching awards, and three best paper awards (ICER '17, IPDPS '14, and Computing Frontiers '13). Franklin received her Ph.D. from UC Davis in 2002. She was an assistant professor (2002-2007) and associate professor with tenure (2007) in Computer Science at the California Polytechnic State University, San Luis Obispo, during which she held the Forbes Chair. From 2008-2015, she was tenured teaching faculty at UC Santa Barbara. Her research interests include computing education research, architecture involving novel technologies, and ethnic and gender diversity in computing. She is the author of "A Practical Guide to Gender Diversity for CS Faculty," from Morgan Claypool. If you are interested in being a graduate student or undergraduate student in my lab, please contact me atdmfranklin.at.uchicago.edu diff --git a/src/data/compiled_bios/5170.txt b/src/data/compiled_bios/5170.txt new file mode 100644 index 0000000000..ea38fd6fbc --- /dev/null +++ b/src/data/compiled_bios/5170.txt @@ -0,0 +1 @@ + Anima Anandkumar Bio Publications Software Technical Talks Media Blogs Teaching Contact Group Animashree Anandkumar Bren Professor Microsoft and Sloan Fellow Computing + Mathematical Sciences California Institute of Technology Contact Email: anima * caltech.edu Admin: Pamela S. Albertson Please cc Pamela(psa@its.caltech.edu) for appointments . Computing + Mathematical Sciences California Institute of Technology 316 Annenberg Hall 1200 E California Blvd. MC 305-16, Pasadena, CA 91125 Bio Animashree (Anima) Anandkumar is a Bren professor at Caltech CMS department and a director of machine learning research at NVIDIA. Her research spans both theoretical and practical aspects of machine learning. In particular, she has spearheaded research in tensor-algebraic methods, large-scale learning, deep learning, probabilistic models, and non-convex optimization. Anima is the recipient of several awards such as the Alfred. P. Sloan Fellowship, NSF Career Award, Young investigator awards from the Air Force and Army research offices, Faculty fellowships from Microsoft, Google and Adobe, and several best paper awards. She is the youngest named professor at Caltech, the highest honor bestowed to an individual faculty. She is part of the World Economic Forum's Expert Network consisting of leading experts from academia, business, government, and the media. She has been featured in documentaries by PBS, KPCC, wired magazine, and in articles by MIT Technology review, Forbes, Yourstory, OReilly media, and so on. Anima received her B.Tech in Electrical Engineering from IIT Madras in 2004 and her PhD from Cornell University in 2009. She was a postdoctoral researcher at MIT from 2009 to 2010, visiting researcher at Microsoft Research New England in 2012 and 2014, assistant professor at U.C. Irvine between 2010 and 2016, associate professor at U.C. Irvine between 2016 and 2017, and principal scientist at Amazon Web Services between 2016 and 2018. Full CV For Prospective Students and Postdocs We are looking for highly motivated and self-driven PhD students and postdoctoral candidates with strong foundation in machine learning, statistics, and algorithms. Both theoretical and empirical research is carried out in the group and students who can build bridges between the two, and also between different disciplines will be good fit here. There are also a small number of positions for undergraduate research. Selected Publications Tensor Decompositions for Learning Latent Variable Models, JMLR, 2014. pdf signSGD: compressed optimisation for non-convex problems, ICML, 2018. pdf Combining Symbolic Expressions and Black-Box Function Evaluations In Neural Programs, ICLR 2018. pdf Learning From Noisy Singly-labeled Data, ICLR 2018. pdf Complete list of publications Media Features Tensor Operations for Machine Learning with Anima Anandkumar, TWiML&AI Podcast, 2018. url Story of Anima Anandkumar, the machine learning guru powering Amazon AI, YourStory, 2017 url Teaching Machines How to Learn: An Interview with Animashree Anandkumar, Caltech, 2017 url All media stories and interviews/panels Teaching Winter 2019 Foundations of Machine Learning All teaching courses Software TensorLy : A fast and simple Python library for tensor learning. https://tensorly.github.io/ Gluon : a high-level interface for MXNet designed to be easy to use while keeping most of the flexibility of low-level API. It supports both imperative and symbolic programming. https://mxnet.incubator.apache.org/api/python/gluon.html Spectral LDA on Spark : learning LDA model via tensor decomposition. https://github.com/Mega-DatA-Lab/SpectralLDA-Spark Technical Talks Tackling Data Scarcity in Deep Learning, UAI 2018. slides1 slides2 Trinity of AI: data, algorithms and cloud, 2018. slides TensoLy, IfI Summer School 2018 on Machine Learning, 2018, contributor: Jean Kossaifi. slides MXNet and Gluon: notebooks for teaching Deep Learning, Apache MXNet and the Gluon interface. http://gluon.mxnet.io Tensor Methods, Machine Learning Summer School 2014 , Pittsburgh. youtube 1 youtube 2 youtube 3 slides 1 slides 2 slides 3 Complete list of talks Tweets by AnimaAnandkumar diff --git a/src/data/compiled_bios/5171.txt b/src/data/compiled_bios/5171.txt new file mode 100644 index 0000000000..fd7cfb2518 --- /dev/null +++ b/src/data/compiled_bios/5171.txt @@ -0,0 +1 @@ + Computer Graphics Research at Caltech Graphics-related research at Caltech primarily focuses on the mathematical foundations of computer graphics. Caltech's research explores and develops new approaches to modeling, rendering, simulation and scientific visualization, and is highly connected to our work on human/computer interaction. New methods are needed to increase modeling fidelity, ``fluency,'' and interactivity. This is accomplished using mathematical principles from differential geometry, constrained optimization, integral equations and piecewise differential equations, as well as physical principles such as the mechanics of solids and the physics of light. The Caltech computer graphics research efforts are led by Alan Barr , Mathieu Desbrun ( Applied Geometry Lab ), and Peter Schrder (Director, Multi-Res Modeling Group ). The Caltech approach to computer graphics research is unique in its mathematical rigor. A common theme throughout our work is an emphasis both on correct underlying mathematical foundations and on careful realization in efficient, robust algorithms. Research Areas Publications Image Gallery Contact Information and Campus Map Personal Home Pages Faculty Staff Graduate students Undergraduate students Visitors Former Students Affiliations, Collaborators and Projects Caltech Applied and Computational Mathematics Department Applied Mechanics Program Biology Division Biological Imaging Center Center for Advanced Computing Research Center for Integrative Multiscale Modeling and Simulation Center for Simulating Dynamic Response of Materials Computational Vision Group Computer Science Department Multi-Res Modeling Group Computation and Neural Systems Department Control and Dynamical Systems Department Geological and Planetary Sciences Division Graduate Aeronautical Laboratories NSF Science and Technology Center for Computer Graphics and Scientific Visualization Brown University graphics group , Providence, RI, USA Cornell University graphics group , Ithaca, NY, USA University of North Carolina , Chapel Hill, NC, USA University of Utah graphics group , SLC, UT, USA Scientific Computing and Imaging Institute We have been awarded an NSF Large Scientific and Software Data Set Visualization grant to support our work in Multiresolution Visualization Tools for Interactive Analysis of Large-Scale N-Dimensional Datatsets . We are part of the Caltech site of the Human Brain Project . The local project is titled Goal Directed Magnetic Resonance Brain Micro-Imaging. Multi-Resolution Simulation & Engineering Design We are conducting visualization research within the Center for Simulating Dynamic Response of Materials , which is supported by the DOE's Advanced Simulation and Computing Program Conference Information Graphics-Related Courses CS133: Topics in Symbolic Computation CS174: Computer Graphics Laboratory CS257: Simulation CS274: 3D Photography CS284: Topics in Geometric Modeling CS286: The Inter-University Graphics Seminar FTP Site Unsupported Software C interpreter DBF device-independent graphics package Last modified: August 27, 2002 webmaster@gg.caltech.edu diff --git a/src/data/compiled_bios/5172.txt b/src/data/compiled_bios/5172.txt new file mode 100644 index 0000000000..c7feb8e3bc --- /dev/null +++ b/src/data/compiled_bios/5172.txt @@ -0,0 +1 @@ + Skip to main content Division of Engineering & Applied Science Positions Available search search options CMS Caltech Department of Computing + Mathematical Sciences About Overview Mission History + Facts Facilities Life in the Department Location + Directions Positions Available Resources People Faculty Administration Visitors Postdoctoral Scholars Graduate Students Directory Academics Overview Graduate Programs Undergraduate Program Course Descriptions Course Schedule Honors and Awards Research Overview Centers + Initiatives Research Videos Meeting of the Minds Seminars & Events News Outreach Public Outreach Local Outreach Partners Program Contact Contact Us Location + Directions Directory Get Involved Women in CMS Faculty Katherine L. (Katie) Bouman Visiting Associate in Computing and Mathematical Sciences Degrees and Appointments B.S., University of Michigan, 2011; M.S., Massachusetts Institute of Technology, 2013; Ph.D., 2017. Caltech, 2018-19. Research Overview Katie Bouman's research focuses on computational imaging: designing systems that tightly integrate algorithm and sensor design, making it possible to observe phenomena previously difficult or impossible to measure with traditional approaches.Imaging plays a critical role in advancing science. However, as science continues to push boundaries, traditional sensors are reaching the limits of what they can measure.Katie's group combines ideas from signal processing, computer vision, machine learning, and physics to find and exploit hidden signals for both scientific discovery and technological innovation. For example, in collaboration with the Event Horizon Telescope, Katie's group is helping to build a computational earth-sized telescope that is taking the first images of a black hole and is analyzing its images to learn about general relativity in the strong-field regime. Is this your profile? People Faculty Visitors Postdoctoral Scholars Graduate Students Directory Learn More Research Academics Visiting Contact Get Involved For Students How to Apply Course Catalog Course Schedule Life in the Department For Our Department Resources Positions Available Communications Office California Institute of Technology 1200 E California Blvd. MC 305-16, Pasadena, CA 91125 2019 Caltech . All rights reserved . Privacy Notice . Feedback? back to top diff --git a/src/data/compiled_bios/5173.txt b/src/data/compiled_bios/5173.txt new file mode 100644 index 0000000000..0b7311b41a --- /dev/null +++ b/src/data/compiled_bios/5173.txt @@ -0,0 +1 @@ + Department of Computing + Mathematical Sciences Prof. Oscar P. Bruno Oscar P. Bruno Professor of Applied and Computational Mathematics Research Overview Prof. Bruno's work focuses on development of accurate, high-performance numerical PDE solvers that can faithfully model realistic scientific and engineering configurations. Major theoretical and computational difficulties arise in associated areas of PDE theory, numerical analysis and computational science as a result of intricate and/or singular geometries as well as solution singularities, resonances, nonlinearities, high-frequencies, dispersion, etc. Recently developed Fourier Continuation (FC) and integral-equation techniques, which can successfully tackle such challenges, have enabled accurate solution of previously intractable PDE problems of fundamental importance in science and engineering List of Research Areas Partial Differential Equations: Theory and Numerical Methods. Computational Science (Computational Electromagnetics, CFD, Computational Solid Mechanics). Numerical Analysis. Multiphysics Modeling and Simulation. Mathematical Physics. Home Biography Publications California Institute of Technology Division of Engineering & Applied Science Positions Available Search more options cms Prof. Oscar P. Bruno Applied and Computatonal Mathematics 355 S. Holliston Ave., MC 9-94 Pasadena, CA 91125 back to top diff --git a/src/data/compiled_bios/5174.txt b/src/data/compiled_bios/5174.txt new file mode 100644 index 0000000000..49f83377d1 --- /dev/null +++ b/src/data/compiled_bios/5174.txt @@ -0,0 +1 @@ + Skip to main content Division of Engineering & Applied Science Positions Available search search options CMS Caltech Department of Computing + Mathematical Sciences About Overview Mission History + Facts Facilities Life in the Department Location + Directions Positions Available Resources People Faculty Administration Visitors Postdoctoral Scholars Graduate Students Directory Academics Overview Graduate Programs Undergraduate Program Course Descriptions Course Schedule Honors and Awards Research Overview Centers + Initiatives Research Videos Meeting of the Minds Seminars & Events News Outreach Public Outreach Local Outreach Partners Program Contact Contact Us Location + Directions Directory Get Involved Women in CMS Faculty Joel W. Burdick Richard L. and Dorothy M. Hayman Professor of Mechanical Engineering and Bioengineering; Jet Propulsion Laboratory Research Scientist Degrees and Appointments B.S., Duke University, 1981; M.S., Stanford University, 1982; Ph.D., 1988. Assistant Professor, Caltech, 1988-94; Associate Professor, 1994-2000; Professor of Mechanical Engineering, 2000-02; Professor of Mechanical Engineering and Bioengineering, 2002-12; Executive Officer for Bioengineering, 2006-07; Hayman Professor, 2012-; Jet Propulsion Laboratory Research Scientist, 2014-. Assistant(s) Research Group Matters Sonya Lincoln 250 Gates-Thomas Laboratory (626) 395-3385 lincolns@caltech.edu Research Overview Professor Burdick focuses on robotics, kinematics, mechanical systems and control. Active research areas include: robotic locomotion, sensor-based motion planning algorithms, multi-fingered robotic manipulation, applied nonlinear control theory, neural prosthetics, and medical applications of robotics. List of Research Areas robotics, kinematics, mechanical systems and control CMS News about Joel W. Burdick Meet the 2017 Amazon Fellows Kun ho (John) Kim Receives 2017 Henry Ford II Scholar Award Robotics Team Takes First Place At RoboSub Competition Read more news about Joel W. Burdick Is this your profile? People Faculty Visitors Postdoctoral Scholars Graduate Students Directory Learn More Research Academics Visiting Contact Get Involved For Students How to Apply Course Catalog Course Schedule Life in the Department For Our Department Resources Positions Available Communications Office California Institute of Technology 1200 E California Blvd. MC 305-16, Pasadena, CA 91125 2019 Caltech . All rights reserved . Privacy Notice . Feedback? back to top diff --git a/src/data/compiled_bios/5175.txt b/src/data/compiled_bios/5175.txt new file mode 100644 index 0000000000..f02957d9a6 --- /dev/null +++ b/src/data/compiled_bios/5175.txt @@ -0,0 +1 @@ + Venkat Chandrasekaran Professor Computing and Mathematical Sciences & Electrical Engineering California Institute of Technology Email: alpha @ beta .edu ( alpha = venkatc; beta = caltech) Projects Papers Students Teaching Travel Bio Contact Research Interests My research interests broadly lie in mathematical optimization and its interface with topics in the information sciences. Specific areas of interest include convex optimization, mathematical signal processing, graphs and combinatorial optimization, applied algebraic geometry, computational harmonic analysis , and statistical inference. A list of research projects in which I'm currently engaged can be found here and a full list of publications can be found here . Some Representative Papers Y. S. Soh and V. Chandrasekaran, A Matrix Factorization Approach for Learning Semidefinite-Representable Regularizers , preprint. A. Taeb, J. T. Reager, M. Turmon, and V. Chandrasekaran, A Statistical Graphical Model of the California Reservoir System , Water Resources Research , accepted. U. Candogan and V. Chandrasekaran, Finding Planted Subgraphs with Few Eigenvalues using the Schur-Horn Relaxation , SIAM Journal on Optimization , accepted. V. Chandrasekaran and P. Shah, Relative Entropy Optimization and its Applications , Mathematical Programming , Vol. 161, No. 1, January 2017. N. Matni and V. Chandrasekaran, Regularization for Design , IEEE Transactions on Automatic Control , Vol. 61, No. 12, December 2016. V. Chandrasekaran and P. Shah, Relative Entropy Relaxations for Signomial Optimization , SIAM Journal on Optimization , Vol. 26, No. 2, May 2016. V. Chandrasekaran and M. I. Jordan, Computational and Statistical Tradeoffs via Convex Relaxation , Proceedings of the National Academy of Sciences , Vol. 110, No. 13, March 2013. V. Chandrasekaran, B. Recht, P. A. Parrilo, and A. S. Willsky, The Convex Geometry of Linear Inverse Problems , Foundations of Computational Mathematics , Vol. 12, No. 6, December 2012. V. Chandrasekaran, P. A. Parrilo, and A. S. Willsky, Latent Variable Graphical Model Selection via Convex Optimization , Annals of Statistics (with discussion), Vol. 40, No. 4, August 2012. ( software ) V. Chandrasekaran, S. Sanghavi, P. A. Parrilo, and A. S. Willsky, Rank-Sparsity Incoherence for Matrix Decomposition , SIAM Journal on Optimization , Vol. 21, No. 2, June 2011. Last updated: November 2017 diff --git a/src/data/compiled_bios/5176.txt b/src/data/compiled_bios/5176.txt new file mode 100644 index 0000000000..603bf7aeb4 --- /dev/null +++ b/src/data/compiled_bios/5176.txt @@ -0,0 +1 @@ + Mathieu Desbrun circa 2003, photo by Santiago Lombeyda Carl F. Braun Professor in Computing & Mathematical Sciences mathieu*-at-*caltech.edu Dept of Computing & Mathematical Sciences MS 305-16 California Institute of Technology 1200 E. California Boulevard Pasadena, CA 91125 Tel : (626) 395 6230 Fax : (626) 792 4257 Assistant: Sheila Shull, sheila_at_cms.caltech.edu , (626) 395 4560 Head of the Applied Geometry lab Our lab focuses on applying discrete differential geometry to a wide range of fields and applications. In particular, we approach computations from a geometric standpoint in order to provide differential, yet readily- discretizable computational foundations. Our efforts include: Discrete Exterior Calculus : providing the means to handle basic computations without violating the symmetries and invariants that differential modeling leverages for predictive purposes. Simulation techniques : from Computational Fluid Dynamics (variational methods for fluid dynamics) to Discrete Elasticity (thin shells and deformable objects), etc. Meshing : 2D and 3D sampling, meshing, and remeshing for accurate simulations. Graphics : surface modeling via mesh processing, compression, animation, etc Current members: Dzhelil Rufat, Melissa Yeung, Max Budninskiy, Beibei Liu. Founding chair of Computing + Mathematical Sciences department The Computing + Mathematical Sciences (CMS) department is home to outstanding students and researchers who share a passion for science and engineering, as well as a drive to investigate the most challenging, fundamental problems in computation. We cover applied mathematics, control & dynamical systems, and computer science. Research Community Involvement, Past and Present Former Technical Papers chair, ACM SIGGRAPH 2018; director of the Information Science & Technology initiative at Caltech; associate Editor of the ACM Transaction on Graphics journal; program committee member for the ACM SIGGRAPH conference and other international symposia; chair of the Symposium of Computer Animation and the Symposium on Geometry Processing ; review panelist for NSF and DOE programs; reviewers in various computational science and computer science journals. Collaborations Our current collaborators include: Jin Huang Pierre Alliez Yiying Tong Fernando de Goes Santiago Lombeyda Other past and present collaborators include: Eva Kanso Jerrold E. Marsden Peter Schrder Alan H. Barr Eitan Grinspun Sponsors We wish to acknowledge the generous and constant support of: The Carl F. Braun chair endowment at Caltech Federal funding: National Science Foundation , Department of Energy . Funding from Foundations: Okawa Foundation , Gordon & Betty Moore Foundation . Corporate funding: Pixar Animation Studios , Disney Animation Studios , NVidia , Microsoft Research . We also acknowledge the INRIA for an International Chair in the TITANE group (2014-2019). diff --git a/src/data/compiled_bios/5177.txt b/src/data/compiled_bios/5177.txt new file mode 100644 index 0000000000..45a882c2fa --- /dev/null +++ b/src/data/compiled_bios/5177.txt @@ -0,0 +1 @@ + Main Page From DoyleWiki Jump to: navigation , search John C. Doyle Jean-Lou Chameau Professor of Control and Dynamical Systems Electrical Engineering and BioEngineering Division of Engineering and Applied Science California Institute of Technology Contact Contents [ hide ] 1 Videos with overview of research 2 Brief Bio 3 Somewhat Recent Application Papers 4 Fall 2017 CDS 231 New Control Course 5 News 6 Not very recent talk slides 7 Old Teaching Material 8 Contact 8.1 Other Caltech links Videos with overview of research Aimed to be accessible to a general audience with an emphasis on neuroscience, biology, and medicine. No math. Almost. See the subfolder 0.Intro2Research&241 in Dropbox folder It's not very well organized but there are a variety of subfolders with videos, slides, and papers. Download the videos or they will run in preview mode and terminate early. In Spring 2018 I'll teach CDS 241 which looks broadly at a variety of case studies in complex networks. Current plan is to put the videos for this course in 0.Intro2Research&241 with weekly in class material in 1.NewCDS241inClass. Brief Bio John Doyle is the Jean-Lou Chameau Professor of Control and Dynamical Systems, Electrical Engineer, and BioEngineering at Caltech, and received the BS&MS in EE, MIT (1977), and PhD in Math, UC Berkeley (1984)). He was a consultant at Honeywell Systems and Research Center from 1976 to 1990. Research is on mathematical foundations for complex networks with applications in biology, technology, medicine, ecology, neuroscience, and multiscale physics that integrates theory from control, computation, communication, optimization, statistics (e.g. Machine Learning). An emphasis on universal laws and architectures, robustness/efficiency and speed/accuracy tradeoffs, adaptability, and evolvability and large scale systems with sparse, saturating, delayed, quantized, uncertain sensing, communications, computing, and actuation. Early work was on robustness of feedback control systems with applications to aerospace and process control. His students and research group developed software packages like the Matlab Robust Control Toolbox and the Systems Biology Markup Language (SBML). Prizes, awards, records, championships include the 1990 IEEE Baker Prize (for all IEEE publications), also listed in the world top 10 most important" papers in mathematics 1981-1993, IEEE Automatic Control Transactions Award (twice 1998, 1999), 1994 AACC American Control Conference Schuck Award, 2004 ACM Sigcomm Paper Prize and 2016 test of time award, and inclusion in Best Writing on Mathematics 2010. Individual awards include 1977 IEEE Power Hickernell, 1983 AACC Eckman, 1984 UC Berkeley Friedman, 1984 IEEE Centennial Outstanding Young Engineer (a one-time award for IEEE 100th anniversary), and 2004 IEEE Control Systems Field Award. Best known for fabulous friends, partner, colleagues, and students. Has held world and national records and championships in various sports, but is otherwise quite fragile. NIH Style Bio (Old) Athletics Bio Somewhat Recent Application Papers For recent theory papers see Nikolai Matni For fairly complete list of references see Google Scholar Neuroscience and Machine Learning : Interpretation of the Precision Matrix and Its Application in Estimating Sparse Brain Connectivity during Sleep Spindles from Human Electrocorticography Recordings Das, Sampson, Lainscsek, Muller, Lin, Doyle, Cash, Halgren, Sejnowski, Neural Computation , 2017 Education and Neuroscience : Tutorial on education for Conference on Decision and Control, 2016 Medicine : Robust efficiency and actuator saturation explain healthy heart rate control and variability Li, Cruz, Chien, Sojoudi, Recht, Stone, Csete, Bahmiller, Doyle (2014), P Natl Acad Sci USA 111 (33) Medicine : Sepsis: Something Old, Something New, and a Systems View J Crit Care. (2012) Universal architectures : Architecture, constraints, and behavior , JC Doyle, MC Csete, P Natl Acad Sci USA , vol. 108, Sup 3 15624-15630 Biology : Gycolytic oscillations and limits on robust efficiency , FA Chandra, G Buzi, JC Doyle Science 333(6039):187-192, July 2011 Turbulence : Amplification and nonlinear mechanisms in plane Couette flow. , D Gayme, B McKeon, B Bamieh, A Papachristodolou, and J Doyle. Physics of Fluids v23:6:065108 (2011) Biology : Analysis of autocatalytic networks in biology , G Buzi, U Topcu, J Doyle, Automatica 47:1123-1130 (2011) Earthquakes : The magnitude distribution of earthquakes near Southern California faults Page, Alderson, and Doyle JOURNAL OF GEOPHYSICAL RESEARCH , VOL. 116, (2011) Physics : On Lossless Approximations, the Fluctuation-Dissipation Theorem, and Limitations of Measurements , H Sandberg, JC Delvenne, JC Doyle, IEEE Trans Auto Control , v56:2, 293-308 (2011) Wireless : Cross-layer design in multihop wireless networks , L Chen, SH Low, and JC Doyle, Computer Networks 55:480496 (2011) Circuits : Solving Large-Scale Hybrid Circuit-Antenna Problems Lavaei, Babakhani, Hajimiri and Doyle, I EEE Transactions on Circuits and Systems I, vol. 58, no. 2, pp. 374-387, Feb. 2011. Complexity : Contrasting Views of Complexity and Their Implications For Network-Centric Infrastructures Alderson and Doyle, IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICSPART A: SYSTEMS AND HUMANS , VOL. 40, NO. 4, JULY 2010 Internet : Mathematics and the Internet: A Source of Enormous Confusion and Great Potential Willinger, Alderson, and Doyle, Notices of the AMS Volume 56, Number 5 (2009) Fire : Fire in the Earth System , Science 324, 481 (2009) Biology : Robustness of Cellular Functions , Stelling, Sauer, Szallasi, Doyle, and Doyle, Cell , 2004 Biology : Reverse Engineering of Biological Complexity , Csete and Doyle, Science , (2002) More Papers Fall 2017 CDS 231 New Control Course For last spring's course: See CDS 270 Course details (Spring 2017) for more The aims of CDS 231 are similar to CDS 270 (Sp 2017) but with more emphasis on math details, and less on motivating case studies. Aims : Complex tech, bio, neuro, med, eco, and socio-econ networks have both strikingly universal shared architectural features and constraining "laws" but with extremely different domain specific details. The first half of the course will use familiar case studies to motivate a new mathematical framework for understanding these similarities and differences, emphasizing layering, dynamics, optimization, nonlinearity, learning, communications, and control, sparsity and structure, and tradeoffs between robustness, efficiency, and evolvability. Lectures will primarily be by video with class time devoted to discussions and lots of live demos and games involving audience participation. The second half of the term will be a fast review of core theory in robust and optimal control and a bit of nonlinear using SOSTOOLS. To get started on the videos, and reading material, see the subfolder New_CDS231 in the dropbox folder: Dropbox folder See Course details for more details on 231 (nothing there yet). News Dennice Gayme (Hopkins) named Carol Linde Croft Faculty Scholar. Na (Lina) Li (Harvard) gets NSF CAREER and AFOSR YI awards. Javad Lavaei (Berkeley) gets SIAM Control and Systems Theory Prize and AACC Eckman, and too many other awards to list. Old: Discover magazine "This man wants to control the internet" by Carl Zimmer, Discover magazine, 2008. Newer: Blog and new videos Follow link to dropbox folder with accessible introductory videos and case studies in neuroscience, cell biology, and medical physiology. Our you can go directly to the dropbox folder or see above video lists. Please download the .mp4 files from the dropbox, otherwise they will run in preview mode, which limits the time. Not very recent talk slides U Wisc Madison CS Sept 2012 pdf UCSB Sage lectures, May 2012. (These are pdf files. Ask me for the ppt if you want to steal anything. I would be very flattered.) Lecture 1 May 7, 2012 Lecture 2 May 14, 2012 Lecture 3 May 21, 2012 Lecture 4a May 30, 2012 Lecture 4b May 30, 2012 Summary: Universal laws and architectures (maybe start here) Old Teaching Material CDS 212 Lecture 1 (2012) CDS 212 (Fall 2011) CDS 213, Robust Control (Spring 2012) CDS 212, Feedback Control Theory (Fall 2010) The Architecture of Robust, Evolvable Networks (Wi10) Contact Mailing Address John Doyle California Institute of Technology Control and Dynamical Systems, MC 107-81 1200 E. California Blvd Pasadena, CA 91125 USA Contact information E-mail: doyle AT caltech dot edu Office: 210 Annenberg, Phone: 626.395.4808 Admin Assistant : Monica Nolasco Office: 107 Steele, Email: mnolasco AT caltech dot edu Phone: 626.395.4140 Other Caltech links California Institute of Technology Engineering and Applied Science Division Bioengineering Department Control and Dynamical Systems Department Electrical Engineering Department Retrieved from " http://www.cds.caltech.edu/~doyle/wiki/index.php?title=Main_Page&oldid=3616 " Navigation menu Personal tools Log in Namespaces Main page Discussion Variants Views Read View source View history More Search Navigation Main Page Research Papers Group: Calendar/Courses Random page wiki Recent changes Wiki Help All articles Categories Tools What links here Related changes Special pages Printable version Permanent link Page information This page was last modified on 2 April 2018, at 23:49. Privacy policy About DoyleWiki Disclaimers diff --git a/src/data/compiled_bios/5178.txt b/src/data/compiled_bios/5178.txt new file mode 100644 index 0000000000..54dbf6a707 --- /dev/null +++ b/src/data/compiled_bios/5178.txt @@ -0,0 +1 @@ + Thomas Yizhao Hou Charles Lee Powell Professor of Applied and Computational Mathematics Curriculum Vitae Recent Publications Back to the AMa home page . Curriculum Vitae University Address Applied and Comput. Math., 9-94 California Institute of Technology Pasadena, CA 91125 Tel: (626)-395-4546 Fax: (626)-578-0124 Email: hou@cms.caltech.edu Education B.S. (Mathematics), South China University of Technology, June 1982 M.S. (Mathematics), UCLA, March, 1985 Ph.D.(Mathematics), UCLA, 1987 Thesis Supervisor: Prof. Bjorn Engquist Experience Charles Lee Powell Professor of Applied and Computional Mathematics, Caltech, June 2004- present. Professor of Applied and Computional Mathematics, Caltech, Feb 1998 - present. Executive Officer of Applied and Computational Math, Caltech, July 2000 - June, 2006. Associate Professor of Applied Mathematics, Caltech, June 1993 - Jan. 1998. Associate Professor of Mathematics, Courant Institute, September 1992 - May1993. Assstant Professor of Mathematics, Courant Institute, September 1989 - August 1992. Visiting Member, Courant Institute, July 1987 - August 1989. Visiting Member, Institute for Advanced Study, HKUST Sept. 2010 -- present. Distinguished Visiting Professor, the Chinese Academy of Sciences, Beijing, China, Sept. 2002 -- June, 2006. Visiting Chaired Professor, the Tsinghua University, Beijing, China, April-June, 2004. Distinguished Visiting Professor, the National University of Singapore, Singapore, Deecember, 2002. Visiting Professor, Institute for Advanced Study, Hong Kong University of Science and Technology, September 2009 -- present. Invited Professor, Universite de Paris VI, March 1997 and July 1997. Invited Visiting Professor, Mittag-Leffler Institute, October 1997. Invited Professor, Ecole Normale Superieure, Paris, September 1994. Invited Visiting Professor, Institute for Advanced Study, September 1991 - June 1992. Research Interests Homogenization, Multiscale Analysis and Computation; Vortex Dynamics, Interface Problems, Multi-Phase Flows; Blow-up or non-Blow-up of 3D Euler and Navier-Stokes Equations ; Adaptive Data Analysis. Honors and Awards Fellow of the American Mathematical Society, 2012 Fellow of the American Academy of Art and Sciences, 2011 Fellow of Society of Industrial and Applied Mathematics, 2009 Computational and Applied Sciences Award, the United States Association of Computational Mechanics, 2005 Morningside Gold Medal in Applied Mathematics, International Congress of Chinese Mathematicians, 2004 Invited Plenary Speaker, International Congress on Industrial and Applied Mathematicians, Sydney, 2003 James H. Wilkinson Prize in Numerical Analysis and Scientific Computing, SIAM, 2001 Invited Speaker, International Congress of Mathematicians, Berlin, 1998 Francois N. Frenkiel Award for 1998, Division of Fluid Dynamics, American Physical Society. Feng Kang Prize in Scientific Computing, 1997 Afred Sloan Fellow (1990-1992) Richard C. DiPrima Outstanding Dissertation Prizes, Society of Industrial and Applied Mathematics, 2002 (Gang Hu) and 2006 (Xinwei Yu). The Aisenstadt Chair, Center de Reserches Mathematiques, Universite de Montreal, 9/04-5/05. The Aziz Lecturer, University of Maryland, 11/03. Professional Service and Leadership Member of SIAM Council, 2009 -- 2014 Director of Board of Governors, Institute of Mathematics and its Applications, January 2012 -- Dec. 2013. Member of Board of Governors, Institute of Mathematics and its Applications, 2010 -- 2014. Founding Editor-in-Chiefs Founding Editor-in-Chief, SIAM Journal on Multiscale Modeling and Simulation, (Jan, 2002 -- Dec. 2007) Founding Co-Editor-in-Chief, Advances in Adaptive Data Analysis, (Jan, 2009 -- Dec, 2015) Editorial Boards Editor Board, SIAM Journal on Multiscale Modeling and Simulation, (Jan, 2002-- present) Editor Board, SIAM Journal on Numerical Analysis (June, 1992 -- Dec, 1997) Editor, Mathematical Modelling and Numerical Analysis, (Oct, 1998 - Dec., 2001) Editorial Board, Discrete and Continuous Dynamical Systems, Series B, (Aug, 2000 - present) Editorial Board, Communications in Mathematical Sciences, (Jan, 2003 - present) Editorial Board, International Journal for Multiscale Computational Engineering, (April, 2004 - present) Editorial Board, Applied Mathematics Letters, (Jan, 2012 - present) Editorial Board, Journal of Computational Mathematics, (Jan, 2008 - present) List of Publications PUBLICATIONS Homogenization for Semilinear Hyperbolic Systems with Oscillatory Data, T. Y. Hou, Comm. Pure and Appl. Math. 41 , 471-495 (1988). Particle Method Approximation of Oscillatory Solutions to Hyperbolic Differential Equations, B. Engquist and T. Y. Hou , SIAM J. Numer. Anal., 26 , 289-319 (1989). The Convergence of the Point Vortex Method for the 2-D Euler Equations , J. Goodman, T. Y. Hou and J. Lowengrub, Comm. Pure and Appl. Math., 43 , 415-430(1990). Homogenization and Convergence of the Vortex Method for 2-D Euler Equations with Oscillatory Vorticity Fields, W. E and T. Y. Hou, Comm. Pure and Appl. Math. , 43 , 821-855 (1990) The Convergence of a Point Vortex Method for the 3-D Euler Equations, T. Y. Hou and J. Lowengrub, Comm. Pure and Appl. Math., 43 , 965-981(1990). Dispersive Approximations in Fluid Dynamics, T. Y. Hou and P. Lax, Comm. Pure and Appl. Math., 44 , 1-40 (1991). Convergence of the Grid Free Point Vortex method for the 3-D Euler Equations, G.H. Cottet, J. Goodman and T. Y. Hou, SIAM J. Numer. Anal., 28 , 291-307 (1991). Geometry Independent Convergence Results for Domain Decomposition Algorithms, T. F. Chan, T. Y. Hou and P. L. Lions SIAM J. Numer. Anal., 28 , 378-391 (1991). Finite Difference Approximations for Partial Differential Equations with Rapidly Oscillating Coefficients, M. Avellaneda, T. Y. Hou and G. Papanicolaou, Mathematical Modelling and Numerical Analysis, 25 , 693-710 (1991). Convergence of a Point Vortex Method for Vortex Sheets, , T. Y. Hou, J. Lowengrub and R. Krasny, SIAM J. Numer. Anal. , 28 (2) , 308-320 (1991). Homogenization of Linear Transport Equations with Oscillatory Vector Fields, T. Y. Hou and X. Xin, SIAM J. Appl. Math. , 52 , 34-45 (1992). Convergence of a Finite Difference Scheme for the Navier-Stokes Equations Using Vorticity Boundary Conditions, , T. Y. Hou and B. Wetton, SIAM J. Numer. Anal., 29 , 615-639 (1992). Convergence of a Second Order Projection Method for the Navier-Stokes Equations with Boundaries, , T. Y. Hou and B. Wetton, SIAM J. Numer. Anal., 30 , 609-629 (1993). Multi-Valued Solutions and Branch Point Singularities for Nonlinear Hyperbolic and Elliptic Systems, . Caflisch, N. Ercolani, T. Y. Hou, Y. Landis, Comm. Pure and Appl. Math., 46 , 453-499 (1993). Growth Rates for Linearized Motion of Fluid Interfaces Away from Equilibrium, J. T. Beale, T. Y. Hou and J. Lowengrub, Comm. Pure and Appl. Math. , 46 , 1269-1301 (1993). On the Stability of the Unsmoothed Fourier Method for Hyperbolic Equations, J. Goodman, T. Y. Hou and E. Tadmor, Numer. Math. , 67 , 93-129 (1994). Removing the Stiffness from Interfacial Flows with Surface Tension , T. Y. Hou, J. Lowengrub and M. Shelley, J. Comput Phys. , 114 , 312-338 (1994). Numerical Solutions to Free Boundary Problems, , T. Y. Hou, ACTA Numerica, , 4 , 335-415 (1995). Eulerian Capturing Methods Based on a Level Set Formulation for Incompressible Fluid Interfaces, , Y. C. Chang, T. Y. Hou, B. Merriman, and S. Osher, J. Comput Phys. , 124 , 449-464 (1996). Convergence of a Boundary Integral Method for Water Waves, J. T. Beale, T. Y. Hou and J. Lowengrub, SIAM J. Numer. Anal., . 33 , 1797-1843(1996). Well-Posedness of Linearized Motion for 3-D Water Waves Far From Equilibrium, T. Y. Hou, Z.-H. Teng, and P. Zhang, Comm in PDEs , 21 , 1551-1586 (1996). Converging Methods for the Computation of Propagating Solid-Solid Phase Boundaries, X. Zhong, T. Y. Hou, and P. LeFloch, J. Comput. Phys. , 124 , 192-216 (1996). The Long-Time Motion of Vortex Sheets with Surface Tension , T. Y. Hou, J. Lowengrub and M. Shelley, Phys. of Fluid, A, 9 , 1933-1954 (1997). A Multiscale Finite Element Method for Elliptic Problems in Composite Materials and Porous Media , T. Y. Hou and X. H. Wu, J. Comput Phys. , 134 , 169-189, (1997). A Hybrid Method for Moving Interface Problems with Application to the Hele-Shaw Flow, T. Y. Hou, Z. Li, S. Osher, and H. Zhao, J. Comput. Phys. , 134 , 236-252, (1997). Convergence of a Non-Stiff Boundary Integral Method for Interfacial Flows with Surface Tension , H. Ceniceros and T. Y. Hou, Math. Comput. , 67 , 137-182 (1998). Removing the Stiffness of Curvature in Computing 3-D Filaments , T. Y. Hou, I. Klapper and H. Si, J. Comput. Phys. , 143 , 628-664 (1998). Effect of Scaling Regime and Finite Scaling Range on the Relation between Power Laws in Physical and Spectral Domains, T. Y. Hou, X. H. Wu, S. Y. Chen and Y. Zhou, Phys. Review E. , 58 , 5841- (1998). Convergence of a Multiscale Finite Element Method for Elliptic Problems With Rapidly Oscillating Coefficients , T. Y. Hou, X. H. Wu, and Z.Q. Cai, Math. Comput. , 68 , 913-943, (1999). Dynamic Generation of Capillary Waves , H. Ceniceros and T. Y. Hou, Phys. Fluids, A , 11 (5) , 1042-1050 (1999). Numerical Study of Hele-Shaw Flow with Suction , H. Ceniceros, T. Y. Hou, and H. Si, Phys. Fluids, A , 11 (9) , 2471-2486, (1999). A Level-Set Approach to the Computation of Twinning and Phase Transition Dynamics, T. Y. Hou, P. Rosakis, and P. LeFloch, J. Comput. Phys. , 150 , 302-331 (1999). The Singular Perturbation of Surface Tension in Hele-Shaw Flow and The Effect of Noise , H. Ceniceros and T. Y. Hou, J. Fluid Mech. , 409 , 251-272 (2000). Convergence of A Nonconformal Multiscale Finite Element Method , Y. R. Efendiev, T. Y. Hou, and X. H. Wu, SIAM J. Numer. Anal. , 37 , 888-910 (2000).. A Mixed Multiscale Finite Element Method for Elliptic Problems with Oscillating Coefficients , Z. Chen and T. Y. Hou, Math. Comput. , 72, No. 242 , 541-576, published electronically on June 28, 2002. An Efficient Dynamically Adaptive Mesh for Potentially Singular Solutions , H. Ceniceros and T. Y. Hou, J. Comput. Phys. , 172 , 1-31 2001. Boundary Integral Methods for Multi-Phase Problems in Fluid Dynamics and Materials Science , T. Y. Hou, J. Lowengrub, and M. Shelley, in J. Comput. Phys. , 169, No. 2 , 302-362 (2001). Convergence of A Boundary Integral Method for 3-D Water Waves , T. Y. Hou and P. Zhang, Discrete and Continuous Dynamical Systems, Series B , 2(1) , 1-34 (2002). Analysis of Upscaling Absolute Permeability , X. H. Wu, Y. Efendiev, and T. Y. Hou, Discrete and Continuous Dynamical Systems, Series B , 2(2), , 185-204(2002). Multiscale Domain Decomposition Methods for Elliptic Problems with High Aspect Ratios , J. Aarnes and T. Y. Hou, Acta Mathematicae Applicatae Sinica, , 18 No. 1 , 63-76 (2002). Singularity Formation in 3-D Vortex Sheets , T. Y. Hou, G. Hu, and P. Zhang, Phys of Fluids, , 15 No. 1 , 147-172 (2003). A Nearly Optimal Existence Result for Slightly Perturbed 3D Vortex Sheets , T. Y. Hou and G. Hu, Comm. in PDEs , 28, No.1/2, , 155-198 (2003). Numerical Approximations to Multiscale Solutions in Partial Differential Equations , T. Y. Hou, Frontier in Numerical Analysis , ed. J. F. Blowey, A. W. Craig, and T. Shardlow, Springer Publications, 241-302 (2003). Homogenization of Incompressible Euler Equation , T. Y. Hou, D. P. Yang, and K. Wang, Multiscale Modeling and Computation of Incompressible Flow , T. Y. Hou, Applied Mathematics Entering the 21st Century, Invited Talks from the ICIAM2003 Congress, ed. J. M. Hill and R. Moore, SIAM Publications, 177-210 (2004). J. Comput. Math. , 22, No.2, , 220-229 (2004). Removing the Cell Resonance Error in the Multiscale Finite Element Method via a Petrove-Galerkin Formulation , T. Y. Hou, X. H. Wu and Y. Zhang Comm. Math. Sciences, , 2 No. 2 , 185-205 (2004). Geometric Properties and Non-blowup of 3-D Incompressible Euler Flow , J. Deng, T. Y. Hou, and X. Yu, Comm. in PDEs. , 30, No.1, , 225-243 (2005). Multiscale Numerical Methods for Singularly-Perturbed Convection Diffusion Equations , P. Park and T. Y. Hou, International Journal of Computational Methods , 1, No.1, , 17-65 (2004). Multiscale Finite Element Methods for Nonlinear Problems and Their Applications , Y. Efendiev, T. Y. Hou, and V. Ginting, Comm. Math. Sci. , 2, No.4, , 553-589 (2004). A Modified Particle Method for Semilinear Hyperbolic Systems with Oscillatory Solutions , R. Fetecau and T. Y. Hou, Methods and Applications of Analysis , 11, No.4, , 573-604 (2004). Multiscale Analysis in Lagrangian Formulation for the 2-D Incompressible Euler Equation , T. Y. Hou, D. P. Yang, and H. Ran, Discrete and Continuous Dynamical Systems, Series A , 13(5) , 1153-1186, 2005. Global Well-Posedness of the Viscous Boussinesq Equations , T. Y. Hou and C. Li, Discrete and Continuous Dynamical Systems, Series A , 12(1), , 1-12, 2005. Improved Geometric Conditions for Non-blowup of the 3D Incompressible Euler Equation , J. Deng, T. Y. Hou, and X. Yu, Comm. in PDEs , 31, No. 2 , 293-306, 2006. Level Set Dynamics and Non-blowup of the 2D Quasi-Geostrophic Equation , J. Deng, T. Y. Hou, R. Li, and X. Yu, Methods and Applications of Analysis , 13, No. 2 , 157-180, 2006. Wiener Chaos Expansions and Numerical Solutions of Randomly Forced Equations of Fluid Mechanics , T. Y. Hou, W. Luo, B. Rozovskii, and H.M. Zhou, J. Comput. Phys. , 216 , 687-706 (2006). Coarse-gradient Langevin Algorithms for Dynamic Data Integration and Uncertainty Quantification , P. Dostert, Y. Efendiev, T. Y. Hou, W. Luo, J. Comput. Phys. , 217 , 123-142 (2006). Parametric Vertical Coordinate Formulation for Multiscale, Boussinesq, and Non-Boussinesq Ocean Modeling , Y. T. Song and T. Y. Hou, Ocean Modeling , 11, , 298-332, 2006. A Pseudo-spectral Multiscale Method: Interfacial Conditions and Coarse Grid Equations , Shaoqiang Tang, T. Y. Hou, Wing Kam Liu, J. Comput. Phys. , 213 , 57-85, 2006. A Mathematical Framework of the Bridging Scale Method , Shaoqiang Tang, T. Y. Hou, Wing Kam Liu, Int. J. Numer. Meth. Engng. , 65 , 1688-1713, 2006. Accurate Multiscale Finite Element Methods for Two-Phase Flow Simulations , Y. Efendiev, V. Ginting, T. Y. Hou, and R. Ewing, J. Comput. Phys. , 220, , 155-174, 2006. On Global Well-Posedness of the Lagrangian Averaged Euler Equations , T. Y. Hou and C. Li, SIAM J. Math Anal. , 38 (3) , 782-794, 2006. A 3D Numerical Method for Studying Vortex Formation Behind a Moving Plate , T. Y. Hou, V.G. Stredie, and T. Y. Wu, Comm. in Comput. Phys. , 1 , 207-228, 2006. Mathematical Modeling and Simulation of Aquatic and Aerial Animal Locomotion , T. Y. Hou, V.G. Stredie, and T. Y. Wu, J. Comput. Phys. , 225 , 1603-1631, 2007. A Level Set Formulation for the 3D Incompressible Euler Equations , J. Deng, T. Y. Hou, and X. Yu, Methods and Applications of Analysis , 12 (4) , 427-440, 2005. Multiscale Computation of Isotropic Homogeneous Turbulent Flow , T. Y. Hou, D. P. Yang, and H. Ran, Contemporary Mathematics , 408 , 111-135, 2006. AMS Publ., Inverse Problems, Multi-Scale Analysis, and Effective Medium Theory. ed. H. Ammari and H. Kang. Preconditioning of Markov Chain Monte Carlo Simulations Using Coarse-Scale Models , Y. Efendiev, T. Y. Hou and W. Luo, SIAM J. Sci. Comput. , 28(2) , 776-803, 2006. Dynamic Depletion of Vortex Stretching and Non-Blowup of the 3-D Incompressible Euler Equations , T. Y. Hou and R. Li, J. Nonlinear Science , 16(6) , 639-664, 2006. A Framework for Modeling Subgrid Effects for Two-Phase Flows in Porous Media , T. Y. Hou, A. Westhead, and D. P. Yang, SIAM Multiscale Modeling and Simulation , 5(4) , 1087-1127, 2006. Computing Nearly Singular Solutions Using Pseudo-Spectral Methods , T. Y. Hou and R. Li, J. Comput. Phys. , 226 , 379-397, 2007. Nonexistence of Local Self-Similar Blow-up for the 3D Incompressible Navier-Stokes Equations , T. Y. Hou and R. Li, Discrete and Continuous Dynamical Systems, Series A , 18(4) , 637-642, 2007. Multiscale Simulations of Porous Media Flows in Flow-Based Coordinate System , Y. Efendiev, T. Y. Hou, and T. Strinopoulos, Comput. Geoscience , 12 , 257-272, 2008, DOI 10.1007/s10596-007-9073-7. Dynamic Stability of the 3D Axi-symmetric Navier-Stokes Equations with Swirl , T. Y. Hou and C. Li, Commun. Pure Appl. Math. , 61(5) , 661--697, 2008. Published online Aug 27, 2007, DOI: 10.1002/cpa.20213. Numerical Study of Nearly Singular Solutions of the 3-D Incompressible Euler Equations , T. Y. Hou and R. Li, the Proceedings of 2006 Abel Symposium on Computational Mathematics , H. Munthe-Kaas and B. Owren (Eds.), Springer-Verlag, Berlin Heidelberg, 39--66, 2008. Multiscale Finite Element Methods for Porous Media Flows and Their Applications , Y. Efendiev and T. Y. Hou, Applied Numerical Mathematics , 57 , 577-596, 2007. Multiscale Analysis and Computation for the 3D Incompressible Navier-Stokes Equations , T. Y. Hou, D. P. Yang and H. Ran, SIAM Multiscale Modeling and Simulation , 6 (4) , 1317-1346, 2008, published online on March 26, 2008, DOI: 10.1137/070682046. Global Regularity of the 3D Axi-symmetric Navier-Stokes Equations with Anisotropic Data , T. Y. Hou, Z. Lei and C. Li, Commun PDEs, , 33 (9) , 1622-1637, 2008, DOI: 10.1080/03605300802108057. Blowup or No Blowup? The Interplay between Theory and Numerics , T. Y. Hou and R. Li, Physica D , 237 , 1937-1944, 2008, in the special issue of "Euler Equations: 250 Years On", published online Jan. 25, 2008, DOI:10.1016/j.physd.2008.01.018. . Flow Based Oversampling Technique for Multiscale Finite Element Methods , J. Chu, Y. Efendiev, V. Ginting, and T. Y. Hou, Advances in Water Resources , 31 , 599--608, 2008. Removing the Stiffness of Elastic Force from the Immersed Boundary Method for the 2D Stokes Equations , T. Y. Hou and Z. Shi, J. Comput. Phys., , 227 , 9138-9169, 2008, DOI:10.1016/j.jcp.2008.03.002. An Efficient Semi-Implicit Immersed Boundary Method for the Navier-Stokes Equations , T. Y. Hou and Z. Shi, J. Comput. Phys., , 227 , 8968-8991, 2008, DOI:10.1016/j.jcp.2008.07.005. On the Stabilizing Effect of Convection in 3D Incompressible Flow , T. Y. Hou and Z. Lei, Commun. Pure Appl. Math. , 62(4) , 501--564, 2009. Published online June 10, 2008, DOI: 10.1002/cpa.20254. On the Partial Regularity of a 3D Model of the Navier-Stokes Equations , T. Y. Hou and Z. Lei, Commun. Math. Phys. , Commun. Math. Phys. , 287(2) , 589--612, 2009. Published online on Nov. 20, 2008, DOI:10.1007/s00220-008-0689-9. Multiscale Analysis for Convection Dominated Transport Equations , T. Y. Hou and D. Liang, DCDS-A , 23 , 281-298, 2009, doi:10.3934/dcds.2009.23.281. Blow-up or no blow-up? A unified computational and analytic approach to 3D incompressible Euler and Navier-Stokes equations , T. Y. Hou, Acta Numerica , 18 , 277-346, 2009, doi: 10.1017/S0962492906420018. Stable Fourth-Order Stream-Function Methods for Incompressible Flows with Boundaries , T. Y. Hou and B. Wetton, J. Comput. Math. , 27 (4) , 441-458, 2009. A Variant of the EMD Method for Multiscale Data, , T. Y. Hou, M. P. Yan, and Z. Wu, AADA , 1 (4) , 483-516, 2009. A New Multiscale Finite Element Method for High-Contrast Elliptic Interface Problems , C.-C. Chu, I. G. Graham, and T. Y. Hou, Math. Comput. , 79 , 1915-1955, 2010. On Singularity Formation of a Nonlinear Nonlocal System , T. Y. Hou, C. Li, Z. Shi, S. Wang, and X. Yu, ARMA , 199 , 117-144, 2011. Adaptive Data Analysis via Sparse Time-Frequency Representation , T. Y. Hou and Z. Shi, Advances in Adaptive Data Analysis , 3 (1&2) , 1-28, 2011. DOI: 10.1142/S1793536911000647. On Singularity Formation of a 3D Model for Incompressible Navier-Stokes Equations , T. Y. Hou, Z. Shi, and S. Wang, Advances in Mathematics , 230 , 607-641, 2012. Dynamic Growth Estimates of Maximum Vorticity for 3D Incompressible Euler Equations and the SQG Model , T. Y. Hou and Z. Shi, DCDS-A , 32 (5) , 1449-1463, 2012. Multiscale Modeling of Incompressible Turbulent Flows , T. Y. Hou, X. Hu, and F. Hussain, JCP , 232 , 383-396, 2013. DOI: 10.1016/j.jcp.2012.08.029. Data-Driven Time-Frequency Analysis , T. Y. Hou and Z. Shi, Applied and Comput. Harmon. Anal., Vol. 35(2), pp. 284308, 2013, http://dx.doi.org/10.1016/j.acha.2012.10.001. A Decadal Microwave Record of Tropical Air Temperature from AMSU-A/Aqua Observations , Y. Shi, K. F. Li, Y. L. Yung, H. H. Aumann, Z. Shi, and T. Y. Hou, Climate Dynamics , 41 (5-6) , 1385-1405, 2013. DOI: 10.1007/s00382-013-1696-x. Numerical Simulation of Water Resources Problems: Models, Methods, and Trends , C. T. Miller, C. N. Dawsonb, M. W. Farthing, T. Y. Hou, J.F. Huange, C. E. Kees, C.T. Kelley, H. P. Langtangen, Advances in Water Resources , 51 , 405-437, 2013. DOI: 10.1016/j.advwatres.2012.05.008. A Dynamically Bi-Orthogonal Method for Time-Dependent Stochastic Partial Differential Equations I: Derivation and Algorithms , M. Cheng, T. Y. Hou, and Z. Zhang, JCP , 242 , 843-868, 2013. DOI:10.1016/j.jcp.2013.02.033. A Dynamically Bi-Orthogonal Method for Time-Dependent Stochastic Partial Differential Equations II: Adaptivity and Generalizations , M. Cheng, T. Y. Hou, and Z. Zhang, JCP , 242 , 753-776, 2013. DOI: 10.1016/j.jcp.2013.02.020. On Finite Time Singularity and Global Regularity of an Axisymmetric Model for the 3D Euler Equations, , T. Y. Hou, Z. Lei, G. Luo, S. Wang, and C. Zou, ARMA , , 2014. DOI: 10.1007/s00205-013-0717-6. Generalized Multiscale Finite Element Methods (GMsFEM) , Y. Efendiev, J. Galvis, and T. Y. Hou, JCP , 251 , 116-135, 2013. DOI: 10.1016/j.jcp.2013.04.045. A Multiscale Model Reduction Method for Partial Differential Equations, , M. Ci, T. Y. Hou and Z. Shi. M2AN , 48 , 449-474, 2014. DOI: 10.1051/m2an/2013115. Convergence of a Data-Driven Time-Frequency Analysis Method, , T. Y. Hou, Z. Shi, and P. Tavallali. Applied and Comput. Harmonic Analysis , 37 , 235-270, 2014. Doi: 10.1016/j.acha.2013.12.004 . A Data-driven Stochastic Method for Elliptic PDEs with Random Coefficients, , M. Cheng, T. Y. Hou, M. Yan, and Z. Zhang. SIAM/ASA J. Uncertainty Quantificatin , 1 , 452-493, 2013. DOI: 10.1137/130913249. Sparse Time Frequency Representation of Nonlinear and Nonstationary Data. , T. Y. Hou and Z. Shi. Science China, Mathematics , 56 (No. 12) , 2489-2506, 2013. DOI: 10.1007/s11425-013-4733-7. Sparse Time Frequency Representation and Dynamical Systems. , T. Y. Hou, Z. Shi and P. Tavallali. Commun. Math. Sci. , 13 (No. 3) 673-694, 2015. Potentially Singular Solutions of the 3D Incompressible Euler Equations, , G. Luo and T. Y. Hou. arXiv:1310.0497v2 [physics.flu-dyn], 2013. Potentially Singular Solutions of the 3D Axisymmetric Euler Equations, , G. Luo and T. Y. Hou. PNAS , 111 no. 36 , 12968-12973, 2014. doi: 10.1073/pnas.1405238111, www.pnas.org/cgi/doi/10.1073/pnas.1405238111. Toward the Finite-Time Blowup of the 3D Incompressible Euler Equations: a Numerical Investigation, , G. Luo and T. Y. Hou. SIAM MMS , 12 (No. 4) , 1722-176, 2014. DOI. 10.1137/140966411. On the Finite Time Blowup of a 1D Model for the 3D Incompressible Euler Equations. , T. Y. Hou and G. Luo. arXiv:1311.2613v1 [math.AP], 2013 On the Finite Time Blowup of a 1D Model for the 3D Axisymmetric Euler Equations, , K. Choi, T. Y. Hou, A. Kiselev, G. G. Luo, V. Sverak, and Y. Yao. arXiv:1407.4776v2 [math.AP], CPAM, published online on May 3, 2017, DOI: 10.1002/cpa.21697. Self-Similar Singularity of a 1D Model for the 3D Axisymmetric Euler Equations, , T. Y. Hou and P. Liu. Research in Mathematical Sciences , 2:5 , 1-26, 2015. DOI 10.1186/s40687-015-0021-1. Extraction of Intrawave Signals Using the Sparse Time-Frequency Representation Method. , P. Tavallali, T. Y. Hou, and Z. Shi. SIAM MMS , 12 (No. 4) , 1458-1493, 2014. DOI: 10.1137/140957767. A Heterogeneous Stochastic FEM Framework for Elliptic PDEs, , T. Y. Hou and P. Liu. JCP , 281 , 942-969, 2015. DOI: http://dx.doi.org/10.1016/j.jcp.2014.10.020. A Multiscale Data-Driven Stochastic Method for Elliptic PDEs with Random Coefficients, , Z. Zhang, M. Ci and T. Y. Hou. SIAM MMS , 13 (1) , 173-204, 2015. DOI. 10.1137/130948136. Sparse + Low-Energy Decomposition for Viscous Conservation Laws, , T. Y. Hou, Q. Li and H. Schaeffer. JCP , 288 , 150-166, 2015. DOI. http://dx.doi.org/10.1016/j.jcp.2015.02.019. On the Uniqueness of Sparse Time-Frequency Representation of Multiscale Data, , C. Liu, Z. Shi, and T. Y. Hou, SIAM MMS , 13 (3) , 790-811, 2015. DOI. 10.1137/141002098. Adaptive multiscale model reduction with Generalized Multiscale Finite Element Methods, , E. Chung, Y. Efendiev, and T. Y. Hou, JCP , 320 , 69-95, 2016. DOI: http://dx.doi.org/10.1016/j.jcp.2016.04.054. Optimal Local Multi-scale Basis Functions for Linear Elliptic Equations with Rough Coefficients, , T. Y. Hou and P. Liu, DCDS-A , 36 (8) , 4451-4476, 2016. DOI:10.3934/dcds.2016.36.4451 A Model Reduction Method for Elliptic PDEs with Random Input Using the Heterogeneous FEM Framework. , T. Y. Hou, P. Liu, and Z. Zhang, Bulletin of the Institute of Mathematics , 11 (1) , 179-216, 2016. An Accelerated Method for Nonlinear Elliptic PDE. , H. Schaeffer and T. Y. Hou, J. Sci. Comput. , 69 , 556580, 2016. DOI 10.1007/s10915-016-0215-8. Sparse Time-Frequency Decomposition by Dictionary Adaptation , T. Y. Hou and Z. Shi, Phil. Trans. R. Soc. A , 374 , 20150192, 2016. http://dx.doi.org/10.1098/rsta.2015.0192. Extracting a Shape Function for a Signal with Intra-Wave Frequency Modulation , T. Y. Hou and Z. Shi, Phil. Trans. R. Soc. A , 374 , 20150194, 2016. http://dx.doi.org/10.1098/rsta.2015.0194. Identification of time-varying cable tension forces based on adaptive sparse time-frequency analysis of cable vibrations , Y. Bao, Z.Q. Shi, J. L. Beck, H. Li, T. Y. Hou, Structural Control and Health Monitoring , 24 (3) , e1889, 2017, DOI: 10.1002/stc.1889 A Sparse Decomposition of Low Rank Symmetric Positive Semi-definite Matrices, , T. Y. Hou, Q. Li, and P. Zhang, Multiscale Modeling and Simulation , 15 (1) , 410-444, 2017. DOI: 10.1137/16M107760X. Exploring the Locally Low Dimensional Structure in Solving Random Elliptic PDEs, , T. Y. Hou, Q. Li, and P. Zhang, Multiscale Modeling and Simulation , 15 (2) , 661-695, 2017. DOI: 10.1137/16M1077611 . An iteratively adaptive multi-scale finite element method for elliptic PDEs with rough coefficients, , T. Y. Hou, F. N. Hwang, P. Liu, and C. C. Yao, JCP , 336 , 375-400, 2017. Potential Singularity for a Family of Models of the Axisymmetric Incompressible Flow , T. Y. Hou, T. Jin, and P. Liu, JNLS , published online on March 1, 2017, DOI 10.1007/s00332-017-9370-9. Sparse Operator Compression of Higher-Order Elliptic Operators with Rough Coefficients , T. Y. Hou and P. Zhang, Research in Mathematical Sciences , 4:24 , 2017, DOI 10.1186/s40687-017-0113-1 A two-level method for sparse time-frequency representation of multiscale data , C. G. Liu, Z. Q. Shi, and T. Y. Hou, Science China Math , 60 (10) , 1733-1752, 2017, doi: 10.1007/s11425-016-9. Sparse Time-Frequency decomposition for multiple signals with same frequencies , T. Y. Hou and Z. Q. Shi, Advances in Data Science and Adaptive Analysis , 9 (4) , 1750010, 2017, DOI: 10.1142/S2424922X17500103. Some Analysis of the Knockoff Filter and its Variants , J. Chen, A. Hou and T. Y. Hou, arXiv:1706.03400v1 [stat.ME], 2017. A Pseudo Knockoff Filter for Correlated Features , J. Chen, A. Hou and T. Y. Hou, Information and Inference: An IMA Journal , (20xx) 00 , 1-29, 2018, doi: 10.1093/imaiai/iay012, published online on 7/17/2018. An adaptive fast solver for a general class of positive definite matrices via energy decomposition , T. Y. Hou, D. Huang, C. K. Lam, and P. Zhang, SIAM MMS , 16 (2) , 615-678, 2018, DOI. 10.1137/17M1140686 Global regularity for a family of 3D models of the axi-symmetric NavierStokes equations , T. Y. Hou, P. Liu, and F. Wang, Nonlinearity , 31 , 1940-1954, 2018, DOI. http://stacks.iop.org/0951-7715/31/i=5/a=1940 Back to the ACM home page . diff --git a/src/data/compiled_bios/5179.txt b/src/data/compiled_bios/5179.txt new file mode 100644 index 0000000000..90b6aedabb --- /dev/null +++ b/src/data/compiled_bios/5179.txt @@ -0,0 +1 @@ + Skip to main content Division of Engineering & Applied Science Positions Available search search options CMS Caltech Department of Computing + Mathematical Sciences About Overview Mission History + Facts Facilities Life in the Department Location + Directions Positions Available Resources People Faculty Administration Visitors Postdoctoral Scholars Graduate Students Directory Academics Overview Graduate Programs Undergraduate Program Course Descriptions Course Schedule Honors and Awards Research Overview Centers + Initiatives Research Videos Meeting of the Minds Seminars & Events News Outreach Public Outreach Local Outreach Partners Program Contact Contact Us Location + Directions Directory Get Involved Women in CMS Faculty Steven Low Frank J. Gilloon Professor of Computer Science and Electrical Engineering Degrees and Appointments B.S., Cornell University, 1987; M.S., University of California, 1989; Ph.D., 1992. Associate Professor, Caltech, 2000-06; Professor, 2006-18; Gilloon Professor, 2018-. Assistant(s) Research Group Matters Christine Ortega 245 Annenberg IST Center (626) 395-2076 cortega@caltech.edu Research Group Website Personal Website Research Overview Power systems, cyber-physical systems, network architecture, energy-efficient networking. List of Research Areas networking, smart grid, energy efficiency in networking CMS News about Steven Low Zhao Wins Charles Wilts Prize Alumnus Receives William R. Bennett Prize Winners of the 2016 Demetriades - Tsafka - Kokkalis Prizes Announced Read more news about Steven Low Is this your profile? People Faculty Visitors Postdoctoral Scholars Graduate Students Directory Learn More Research Academics Visiting Contact Get Involved For Students How to Apply Course Catalog Course Schedule Life in the Department For Our Department Resources Positions Available Communications Office California Institute of Technology 1200 E California Blvd. MC 305-16, Pasadena, CA 91125 2019 Caltech . All rights reserved . Privacy Notice . Feedback? back to top diff --git a/src/data/compiled_bios/518.txt b/src/data/compiled_bios/518.txt new file mode 100644 index 0000000000..40898596e9 --- /dev/null +++ b/src/data/compiled_bios/518.txt @@ -0,0 +1 @@ +Frederic Chong Seymour Goodman ProfessorDepartment of Computer Science Email: chong@cs.uchicago.edu Phone: (773) 834-4545 Office: JCL 239 Website: http://people.cs.uchicago.edu/~ftchong/ Research: computer architecture, computer security, emerging technologies for computing, multicore and embedded architectures, sustainable computing, systems diff --git a/src/data/compiled_bios/5180.txt b/src/data/compiled_bios/5180.txt new file mode 100644 index 0000000000..dec0ea4983 --- /dev/null +++ b/src/data/compiled_bios/5180.txt @@ -0,0 +1 @@ + Skip to main content Division of Engineering & Applied Science Positions Available search search options CMS Caltech Department of Computing + Mathematical Sciences About Overview Mission History + Facts Facilities Life in the Department Location + Directions Positions Available Resources People Faculty Administration Visitors Postdoctoral Scholars Graduate Students Directory Academics Overview Graduate Programs Undergraduate Program Course Descriptions Course Schedule Honors and Awards Research Overview Centers + Initiatives Research Videos Meeting of the Minds Seminars & Events News Outreach Public Outreach Local Outreach Partners Program Contact Contact Us Location + Directions Directory Get Involved Women in CMS Faculty Dan Meiron Fletcher Jones Professor of Aeronautics and Applied and Computational Mathematics Degrees and Appointments S.B., Massachusetts Institute of Technology, 1976; Sc.D., 1981. Research Fellow in Applied Mathematics, Caltech, 1981-83; Visiting Associate, 1984-85; Assistant Professor, 1985-89; Associate Professor, 1989-94; Professor, 1994-2000; Professor of Applied and Computational Mathematics, 2000; Professor of Applied and Computational Mathematics and Computer Science, 2001-06; Jones Professor of Applied and Computational Mathematics and Computer Science, 2006-09. Jones Professor, 2009-;Executive Officer for Applied Mathematics, 1994-98; Associate Provost for Information and Information Technology, 2000-04. Associate Director, 2009-12. Assistant(s) Research Group Matters Christine Ramirez 267 Guggenheim Lab (626) 395-4750 cramirez@caltech.edu Research Group Website Research Overview Professor Meiron's research focuses on computation and modelling of basic fluid mechanical phenomena. Particular interests include shock driven flow instabilities, turbulence, simulation approaches for high strain rate solid mechanics. He is also interested on development of adaptive numeriocal methods for such flows that are suitable for high performance computation. List of Research Areas fluid mechanics, compressible flow, turbulence, adaptive mesh refinement CMS News about Dan Meiron Joel (J.N.) Franklin Passes Away Professor Meiron Receives Excellence in Teaching Award Read more news about Dan Meiron Is this your profile? People Faculty Visitors Postdoctoral Scholars Graduate Students Directory Learn More Research Academics Visiting Contact Get Involved For Students How to Apply Course Catalog Course Schedule Life in the Department For Our Department Resources Positions Available Communications Office California Institute of Technology 1200 E California Blvd. MC 305-16, Pasadena, CA 91125 2019 Caltech . All rights reserved . Privacy Notice . Feedback? back to top diff --git a/src/data/compiled_bios/5181.txt b/src/data/compiled_bios/5181.txt new file mode 100644 index 0000000000..1df970a987 --- /dev/null +++ b/src/data/compiled_bios/5181.txt @@ -0,0 +1 @@ + Main Page From MurrayWiki Jump to: navigation , search Richard M. Murray Thomas E. and Doris Everhart Professor of Control & Dynamical Systems and Bioengineering California Institute of Technology Papers Research Group Teaching Contact Quick Links: Group Schedule CMS 273 Feedback Systems Biomolecular Feedback Systems Prospective postdocs : I typically make decisions about postdocs in the April-May timeframe, when I know what my grants look like for fall. Please take a look at my current research interests to see what projects we are currently working on. Research My group's research is in the application of feedback and control to networked systems, with applications in biology and autonomy. Current projects include work on biomolecular feedback systems, novel architectures for control systems, and networked control systems (see my research overview for more details). Preprint archive Caltech theses Google Scholar Active projects: Field-Programmable, Recombinase-Based Biomolecular Circuits (Army Research Office) Genetic Circuits for Multi-Cellular Machines (Army Research Lab/Institute for Collaborative Biotechnology) Safety-Critical Autonomy and Verification for Space Missions (JPL) Robust Multi-Layer Control Systems for Cooperative Cellular Behaviors (DARPA) VeHICaL: Verified Human Interfaces, Control, and Learning for Semi-Autonomous Systems (NSF) Temporal Logic Specifications for Control System Design in Automotive Systems (DENSO) Theory-Based Engineering of Biomolecular Circuits in Living Cells (Air Force Office of Scientific Research) Molecular Programming Architectures, Abstractions, Algorithms, and Applications (NSF) [Archive] Group Mia Austria (BE) Karena Cai * (CDS) Richard Cheng * (ME) Filip Claeson+ (Sweden) Samuel Clamons (BE) Sumanth Dathathri (CMS) Leopold Green (BBE) Andrew Halleran (BE) Chelsea Hu (BE) Zoila Jurado* (ME) Elin Larsson+ (Sweden) John Marken (BE) Michaelle Mayalu (CMS) Reed McCardell (BE) Niko McCarty (BE) John McManus (BBE) Liana Merk (BE) Joe Meyerowitz (BMB) Michael Nguyen+ (Denmark) Ayush Pandey (EE) James Parkin (BE) Tung Phan (ME) William Poole* (CNS) Mark Prator# (EAS) Xinying (Cindy) Ren (CDS) Andrey Shur (BE) Rory Williams (BE) Miki Yun# (EAS) * co-advised students + visiting researchers rotation students undergraduates # research tech Former graduate students: Vipul Singhal - PhD in Computation and Neural Systems, June 2018 Ania Baetica - PhD in Control and Dynamical Systems, May 2018 Ioannis Filippidis - PhD in Control and Dynamical Systems, December 2017 Anandh Swaminathan - PhD in Control and Dynamical Systems, December 2017 Dionysios Barmpoutis (thesis) Robert Behnken (thesis) Julia Badger (Braman) (thesis) Francesco Bullo (thesis) Robert Bodenheimer * John Carson (thesis) Andrea Censi (thesis) Benson Christalin# Tim Chung* Lars Cremean (thesis) Nadine Dabby* Raff D'Andrea* Samantha (Feakins) Daly# Emzo de los Santos (thesis) Domitilla Del Vecchio (thesis) Mary Dunlop (thesis) William Dunbar (thesis) Michael Epstein (thesis) Alex Fax (thesis) Anthony Fragoso (thesis) Sawyer Fuller (thesis) Melvin Flores (thesis) Elisa Franco (thesis) Jimmy Fung (thesis) Marcella Gomez (thesis) Martha Grover (Gallivan) (thesis) Shaobin Guo (thesis) Vijay Gupta (thesis) Sonja Glavaski* Shuo Han ( thesis ) Adam Hayes* Sean Humbert (thesis) Victoria Hsiao ( thesis ) Ali Jadbabaie* (thesis) Zhipu Jin (thesis) Vanessa Jonsson (thesis) Scott Kelly (thesis) Dmitriy Kogan# Javad Lavaei* (thesis) Andrew Lewis (thesis) Scott Livingston ( thesis ) Robert M'Closkey (thesis) Mark Milam (thesis) Michiel van Nieuwstadt (thesis) Ivan Papusha (thesis) Muruhan Rathinam (thesis) Clancy Rowley* Ben Shapiro (thesis) Ling Shi (thesis) Demetri Spanos (thesis) Zachary Sun (thesis) / Sudipto Sur (thesis) Anu Thubagere* (thesis) Amber Thweatt# Jorge Tierno* Abhishek Tiwari (thesis) Pete Trautman (thesis) Stephanie Tsuei# David van Gogh# Tony Vanelli# (thesis) Ophelia Venturelli ( thesis ) Yong Wang (thesis) Steve Waydo* (thesis) Eric Wolff (thesis) Nok Wongpiromsarn (thesis) Yong Wu (thesis) Huan (Mumu) Xu ( thesis ) Enoch Yeung ( thesis ) Simon Yeung (thesis) # Masters or Engineers degree * Co-advised student Former postdocs: Jin Ge (2017-2018) - CMS Postdoctoral Fellow Sofie Haesaert (2016-2018) - CMS Postdoctoral Fellow Catherine McGhan (2014-2016) - CMS Postdoctoral Fellow Yutaka Hori (2013-2016) - CMS Postdoctoral Fellow Raktim Bhattacharya (2002-04) Brianno Coller (1995-97) Noel du Toit (2011) Samira Farahani (2014-15) Tamer Inanc (2002-04) Jongmin Kim (2010-14) Eric Klavins * (2001-03) Feng-Li Lian (2001-02) Jun Liu (2011-2012) Yilin Mo (2013-15) Kristi Morgansen (1999-2001) Pascal Morin (1996-97) Yasamin Mostofi (2004-06) Reza Olfati-Saber (2001-04) Yizhar Or (2007-09) Necmiye Ozay (2010-13) Pavithra Prabhakar (2011-12) Nicolas Petit (2001-02) Vasu Raman (2013-15) Henrik Sandberg (2005-07) Shaunak Sen (2011-12) B. N. Shashikanth* (1998-2000) Dan Siegal (2012-15) Andrew Straw* (2010) Willem Sluis (1994-96) Herbert Streumper (1997-99) Ufuk Topcu (2008-12) Additional group alumni: SURF Senior thesis Visitors Teaching The list below is the courses that I have taught at Caltech (or at least most of them). The course links will take you to the (current) course homepage, where you can find the syllabus, handouts, and homework sets. The links for specific terms take you to the course homepage for that term. Links to older courses are available on a separate page. ACM/EE 116 - Probability and Random Processes ( Fa11 ) BE 107 - Exploring Biological Principles Through Bio-Inspired Design ( Sp15 , Sp16 ) BE 150/Bi 250b - Systems Biology ( Wi11 , Wi12 , Wi13 , Sp14 ) CS/EE/ME 75 - Introduction to Multi-Disciplinary Systems Engineering (04-05, 06-07, 10-11, 15-16 ) CDS 90 - Senior Thesis in Control and Dynamical Systems (2004-2014) CDS 101/110 - Analysis and Design of Feedback Systems (Fa97, Fa01, Fa02 , Fa03 , Fa04 , Fa06 , Fa07 , Fa08 , Fa12 , Fa15 ) CDS 112 - Optimization-Based Control (Wi98, Wi02, Wi03, Wi04, Wi06 , Wi07 , Wi08 ) CDS 140 - Differential Equations and Dynamical Systems ( Wi11 , Wi13 , Wi14 , Wi15 ) CDS 240 - Nonlinear Dynamical Systems ( Sp14 , Sp16 ) CDS 202 - Geometry of Nonlinear Systems (Wi93, Wi94, Wi04 , Wi09 , Sp13 ) CS 142 - Distributed Computing (Fa17) Older courses (not taught in the last 5 years) Guest lectures - some individual lectures I have given in various courses Contact Mailing Address Richard M. Murray Control and Dynamical Systems 107-81 California Institute of Technology 1200 E. California Blvd Pasadena, CA 91125 USA Contact information E-mail: murray@cds.caltech.edu Office: 109 Steele Lab, (626) 395-6460 Asst: Monica Nolasco, x4140 Labs: B112 Steele, 136 Keck Other links Caltech Engineering and Applied Science Computing and Mathematical Sciences Bioengineering Control and Dynamical Systems LinkedIn Retrieved from " http://www.cds.caltech.edu/~murray/wiki/index.php?title=Main_Page&oldid=22507 " Navigation menu Views Page Discussion View source History Personal tools Log in Navigation Main Page Courses Events Preprints Projects Search Tools What links here Related changes Special pages Printable version Permanent link Page information Browse properties This page was last modified on 24 January 2019, at 03:13. This page has been accessed 1,543,373 times. Privacy policy About MurrayWiki Disclaimers diff --git a/src/data/compiled_bios/5182.txt b/src/data/compiled_bios/5182.txt new file mode 100644 index 0000000000..86c4efdea3 --- /dev/null +++ b/src/data/compiled_bios/5182.txt @@ -0,0 +1 @@ + Houman Owhadi Professor of Applied and Computational Mathematics and Control and Dynamical Systems Department of Computing and Mathematical Sciences Division of Engineering California Institute of Technology owhadi@caltech.edu diff --git a/src/data/compiled_bios/5183.txt b/src/data/compiled_bios/5183.txt new file mode 100644 index 0000000000..3ef8563561 --- /dev/null +++ b/src/data/compiled_bios/5183.txt @@ -0,0 +1 @@ + Pachter Lab Home News (blog) Group Publications Software Contact Brief biography of Lior Pachter Lior Pachter was born in Ramat Gan, Israel, and grew up in Pretoria, South Africa where he attended Pretoria Boys High School . After receiving a B.S. in Mathematics from Caltech in 1994, He left for MIT where he was awarded a PhD in applied mathematics in 1999. He then moved to the University of California at Berkeley where he was a postdoctoral researcher (1999-2001), assistant professor (2001-2005), associate professor (2005-2009), and until 2018 the Raymond and Beverly Sackler professor of computational biology and professor of mathematics and molecular and cellular biology with a joint appointment in computer science. Since January 2017 he has been the Bren professor of computational biology at Caltech. His research interests span the mathematical and biological sciences, and he has authored over 100 research articles in the areas of algorithms, combinatorics, comparative genomics, algebraic statistics, molecular biology and evolution. He has taught a wide range of courses in mathematics, computational biology and genomics. He is a Fellow of the International Society of Computational Biology and has been awarded a National Science Foundation CAREER award , a Sloan Research Fellowship , the Miller Professorship , and a Federal Laboratory Consortium award for the successful technology transfer of widely used sequence alignment software developed in his group. He is married to Ingileif B. Hallgrmsdttir and has three daughters. Lior Pachter Curriculum Vitae Teaching diff --git a/src/data/compiled_bios/5184.txt b/src/data/compiled_bios/5184.txt new file mode 100644 index 0000000000..38e8b2ec31 --- /dev/null +++ b/src/data/compiled_bios/5184.txt @@ -0,0 +1 @@ + The Pierce Lab California Institute of Technology Programming Dynamic Molecular Function Engineering small conditional DNAs and RNAs for signal transduction in vitro, in situ, and in vivo Mechanisms Developing computational algorithms for analyzing and designing nucleic acid molecules, devices, and systems Algorithms Engineering programmable molecular instruments for reading out and regulating the state of endogenous biological circuitry within intact organisms Technologies Research People Publications Resources Positions 2019 Contact Funding Outreach Colophon diff --git a/src/data/compiled_bios/5185.txt b/src/data/compiled_bios/5185.txt new file mode 100644 index 0000000000..aba1f085ac --- /dev/null +++ b/src/data/compiled_bios/5185.txt @@ -0,0 +1 @@ + Skip to main content Division of Engineering & Applied Science Positions Available search search options CMS Caltech Department of Computing + Mathematical Sciences About Overview Mission History + Facts Facilities Life in the Department Location + Directions Positions Available Resources People Faculty Administration Visitors Postdoctoral Scholars Graduate Students Directory Academics Overview Graduate Programs Undergraduate Program Course Descriptions Course Schedule Honors and Awards Research Overview Centers + Initiatives Research Videos Meeting of the Minds Seminars & Events News Outreach Public Outreach Local Outreach Partners Program Contact Contact Us Location + Directions Directory Get Involved Women in CMS Faculty Peter Schroeder Shaler Arthur Hanisch Professor of Computer Science and Applied and Computational Mathematics Degrees and Appointments B.S., Technical University of Berlin, 1987; M.S., Massachusetts Institute of Technology, 1990; M.A., Princeton University, 1992; Ph.D., 1994. Assistant Professor of Computer Science, Caltech, 1995-98; Associate Professor, 1998-2000; Associate Professor of Computer Science and Applied and Computational Mathematics, 2000-01; Professor, 2001-13; Hanisch Professor, 2013-; Division Deputy Chair, 2012-15; Acting Director of the Center for Advanced Computing Research, 2013-14. Assistant(s) Research Group Matters Linda Taddeo 343 Annenberg IST Center (626) 395-6704 ltaddeo@caltech.edu Research Overview Professor Schrder is interested in the design of efficient and reliable algorithms for problems in computer graphics. These range from geometric modeling (effective methods to model the shape of objects) to animation (simulation of physical phenomena such as the deformation of cloth). His emphasis is on an area known as "Discrete Differential Geometry." Its goals are to rebuild the foundations of classical differential geometry in a discrete setting which makes it immediately useful for computation. List of Research Areas Numerical algorithms for computer graphics, geometric modeling, physical modeling for computation, Discrete Differential Geometry CMS News about Peter Schroeder Professors Barr and Schrder Elected to ACM SIGGRAPH Academy Visualizing the Complex Behavior of Vortices Surrounding Hummingbird Wings Chou Doctoral Prize in IST Established Read more news about Peter Schroeder Is this your profile? People Faculty Visitors Postdoctoral Scholars Graduate Students Directory Learn More Research Academics Visiting Contact Get Involved For Students How to Apply Course Catalog Course Schedule Life in the Department For Our Department Resources Positions Available Communications Office California Institute of Technology 1200 E California Blvd. MC 305-16, Pasadena, CA 91125 2019 Caltech . All rights reserved . Privacy Notice . Feedback? back to top diff --git a/src/data/compiled_bios/5186.txt b/src/data/compiled_bios/5186.txt new file mode 100644 index 0000000000..8c06a57167 --- /dev/null +++ b/src/data/compiled_bios/5186.txt @@ -0,0 +1 @@ + Leonard J. Schulman Professor of Computer Science California Institute of Technology Research Courses Contact Information Center for the Mathematics of Information Institute for Quantum Information CS Theory Group CS Theory Seminar Graduate Study Links Bio - Research - Essays - Editorial Work - Students - Glossary Bio Leonard J. Schulman received the B.Sc. in Mathematics in 1988 and the Ph.D. in Applied Mathematics in 1992, both from the Massachusetts Institute of Technology. Since 2000 he has been on the faculty of the California Institute of Technology. During AY 2017-18 he is in residence at the Israel Institute for Advanced Studies , generously supported by a EURIAS Senior Fellowship . He has also held appointments at UC Berkeley, the Weizmann Institute of Science, and the Georgia Institute of Technology. From 2003 to 2017 he directed the Caltech Center for the Mathematics of Information , and from 2013 through the present he has served as Editor-in-Chief of the SIAM Journal on Computing . His research is in several overlapping areas: algorithms and communication protocols; combinatorics and probability; coding and information theory; quantum computation. Honors include: MIT Bucsela Prize ('88), NSF Mathematical Sciences Postdoctoral Fellowship ('92), NSF CAREER ('99), IEEE Schelkunoff Prize ('04), ACM Notable Paper ('12), UAI Best Paper Award ('16). Research Quasi-random multilinear polynomials, with G. Kalai. Israel J. Math., 2018. Preprint. Explicit Binary Tree Codes with Polylogarithmic Size Alphabet, with G. Cohen and B. Haeupler. Proc. 50th STOC 535-544, 2018. Learning Dynamics and the Co-Evolution of Competing Sexual Species, with G. Piliouras. Proc. 9th ITCS 59:1-59:3, 2018. Preprint, 2017. Online codes for analog signals, with P. Srivastava. Preprint, 2017. Quasi-regular sequences and optimal schedules for security games, with D. Kempe and O. Tamuz. Proc. 29th SODA 1625-1644, 2018. Preprint, 2016. The duality gap for two-team zero-sum games, with U. Vazirani. Proc. 8th ITCS 56:1-56:8, 2017. Convergence of Incentive-Driven Dynamics in Fisher Markets, with K. Dvijotham and Y. Rabani. Proc. 28th SODA 554-567, 2017. Preprint, 2016. Extractors for Near Logarithmic Min-Entropy, with G. Cohen. Proc. 57th FOCS 178-187, 2016. Preprint, 2016. Stability of Causal Inference, with P. Srivastava. Proc. 32nd UAI 666-675, 2016. Best Paper Award The invisible hand of Laplace: the role of market structure in price convergence and oscillation, with Y. Rabani. Preprint, 2016. Symbolic integration and the complexity of computing averages, with A. Sinclair and P. Srivastava. Proc. 56th FOCS 1231-1245, 2015. Analysis of a Classical Matrix Preconditioning Algorithm Leonard J. Schulman , Alistair Sinclair Journal of the ACM (JACM) 64(2) 9:1-9:23,2017 Preprint, 2015. Proc. 47th STOC 831-840, 2015. One-Shot Bargaining Mechanisms, with Y. Babichenko. Preprint, 2015. Learning Arbitrary Statistical Mixtures of Discrete Distributions Jian Li , Yuval Rabani , Leonard J. Schulman , Chaitanya Swamy STOC '15 Proceedings of the forty-seventh annual ACM symposium on Theory of computing,2015 Preprint, 2015. The Adversarial Noise Threshold for Distributed Protocols, with W. M. Hoza. Proc. 27th SODA 240-258, 2016. Preprint, 2014. Achieving Target Equilibria in Network Routing Games without Knowing the Latency Functions, with U. Bhaskar, K. Ligett and C. Swamy. Special Issue of Games and Economic Behavior, 2018. Proc. 55th FOCS 31-40, 2014. Preprint, 2014. Tree codes and a conjecture on exponential sums Cristopher Moore , Leonard J. Schulman ITCS '14 Proceedings of the 5th conference on Innovations in theoretical computer science,2014 Preprint, 2013. The Network Improvement Problem for Equilibrium Routing, with U. Bhaskar and K. Ligett. Proc. 17th IPCO 138-149, 2014. Preprint, 2013. Clustering Affine Subspaces: Hardness and Algorithms, with E. Lee. Proc. 24th SODA 810-827, 2013 . Dimension-free L2 maximal inequality for spherical means in the hypercube, with A. W. Harrow and A. Kolla. Theory of Computing, Special Issue on Boolean Functions, 10(3):55-75, 2014. Preprint, 2012. Allocation of Divisible Goods under Lexicographic Preferences, with V. Vazirani. Proc. FSTTCS 543-559, 2015. Preprint, 2012. Optimal Coding for Streaming Authentication and Interactive Communication, with M. Franklin, R. Gelles and R. Ostrovsky. IEEE Trans. Information Theory 61(1): 133-145, 2015. Proc. 33rd Crypto 258-276, 2013. Preprint, 2012. Data reduction for weighted and outlier-resistant clustering, with D. Feldman. Proc. 23rd SODA 1343-1354, 2012 . The quantifier semigroup for bipartite graphs. The Electronic Journal of Combinatorics 18(1) P123, 2011 . Dimensionality reduction: beyond the Johnson-Lindenstrauss bound, with Y. Bartal and B. Recht. Proc. 22nd SODA 868-887, 2011 (or here ). ( Correction ) Volume in general metric spaces, with I. Abraham, Y. Bartal and O. Neiman. Discrete and Computational Geometry 52(2):366-389, 2014. Proc. 18th ESA, II:87-99 (Springer LNCS 6347), 2010. Clustering lines in high-dimensional space: Classification of incomplete data Jie Gao , Michael Langberg , Leonard J. Schulman ACM Transactions on Algorithms (TALG) 7(1) Art. 8,2010 Universal epsilon-approximators for integrals, with M. Langberg. Proc. 21st SODA 598-607, 2010 . Variation on a theorem by Carathodory. Mathematika 56(1):169-172, 2010 . Universal immersion spaces for edge-colored graphs and nearest-neighbor metrics, with Y. Bartal. SIAM J. Discrete Math. 23(2):1110-1115, 2009 (or here ). Solvency games, with N. Berger, N. Kapur and V. Vazirani. Proc. FSTTCS 61-72, 2008. Updated version, 2010 Muirhead-Rado inequality for compact groups. Positivity 13:559-574, 2009 . Learning mixtures of arbitrary distributions over large discrete domains Yuval Rabani , Leonard J. Schulman , Chaitanya Swamy ITCS '14 Proceedings of the 5th conference on Innovations in theoretical computer science,2014 Preprint, 2012. Earlier preprint (for k=2), 2008. On a capacitated multivehicle routing problem, with X. Gao. Proc. 27th PODC 175-184, 2008. On partitioning graphs via single commodity flows Lorenzo Orecchia , Leonard J. Schulman , Umesh V. Vazirani , Nisheeth K. Vishnoi STOC '08 Proceedings of the fortieth annual ACM symposium on Theory of computing 461-470,2008 Approximation algorithms for labeling hierarchical taxonomies, with Y. Rabani and C. Swamy. Proc. 19th SODA 671-680, 2008 . Contraction and expansion of convex sets, with M. Langberg. Long version: Discrete and Computational Geometry 42(4):594-614, 2009 . Short version: Proc. 19th Canadian Conf. Computational Geometry 25-28, 2007. Quantum algorithms for hidden nonlinear structures, with A. M. Childs and U. V. Vazirani. Proc. 48th FOCS 395-404, 2007. Preprint Imaging geometry through dynamics: the observable representation, with B. Gaveau and L. S. Schulman. J. Physics A 39(33):10307-10321, 2006 . The effectiveness of Lloyd-type methods for the k-means problem Rafail Ostrovsky , Yuval Rabani , Leonard J. Schulman , Chaitanya Swamy Journal of the ACM (JACM) 59(6) Art. 28,2012 Proc. 47th FOCS 165-174, 2006 ACM Computing Reviews Notable Paper in Computing 2012 Convergence of matrices under random conjugation: wave packet scattering without kinematic entanglement, with L. S. Schulman. J. Physics A 39(7):1717-1728, 2006 . Analysis of incomplete data and an intrinsic-dimension Helly theorem, with J. Gao and M. Langberg. Discrete and Computational Geometry 40(4): 537-560, 2008 . Proc. 17th SODA 464-473, 2006 . Error-correcting codes for automatic control, with R. Ostrovsky and Y. Rabani. IEEE Trans. Information Theory 55(7):2931-2941, 2009 . Proc. 46th FOCS 309-316, 2005 . Real-time coding for multiple access channels, with X. Gao. Proc. ISIT 67-71, 2005. Feedback control for router congestion resolution, with X. Gao. Proc. 24th PODC 218-226, 2005 . Physical limits of heat-bath algorithmic cooling, with T. Mor and Y. Weinstein. Long version: SIAM J. Computing 36(6) 1729-1747, 2007 . Short version: Physical Review Letters 94:120501, 2005 . ( Corrected example. ) Also in the Virtual J. Nanoscale Science & Technology 11(14) 4/11/2005 and the Virtual J. Quantum Information April 2005 . The symmetric group defies strong Fourier sampling, with C. Moore and A. Russell. SIAM J. Computing 37(6) 1842-1864, 2008 . Proc. 46th FOCS 479-488, 2005. Preprint Improved expansion of random Cayley graphs, with P.-S. Loh. Discrete Mathematics and Theoretical Computer Science 6(2):523-528, 2004 . Deterministic clustering with data nets, with M. Effros. Research announcement in Proc. ISIT, 2004: Rapid near-optimal VQ design with a deterministic data net. ECCC TR04-050, 2004 . Wave packet scattering without kinematic entanglement: convergence of expectation values, with L. S. Schulman. IEEE Trans. Nanotechnology 4(1):8-13, 2005 . Fair and efficient router congestion control, with X. Gao and K. Jain. Proc. 15th SODA 1043-1052, 2004 . The power of strong Fourier sampling: quantum algorithms for affine groups and hidden shifts, with C. Moore, D. Rockmore and A. Russell. SIAM J. Computing 37(3):938-958, 2007 . The Power of Basis Selection in Fourier Sampling: Hidden Subgroup Problems in Affine Groups, Proc. 15th SODA 1106-1115, 2004. Preprint On the maximum tolerable noise of k-input gates for reliable computation by formulas, with W. Evans. IEEE Transactions on Information Theory 49(11):3094-3098, 2003. Or here. Reconstruction from subsequences, with M. Dudik. J. Combinatorial Theory Series A 103:337-348, 2003 . Or here. A random walk model of wave propagation, with M. Franceschetti and J. Bruck. IEEE Transactions on Antennas and Propagation 52(5):1304-1317, 2004 . IEEE AP-S Antennas and Propagation Society Symposium 2002. S. A. Schelkunoff Transactions Prize Paper Award 2004. A random stacking process, Special issue of Discrete Mathematics dedicated to Daniel J. Kleitman 257(2):541-547, 2002 . Lower Bounds for Linear Locally Decodable Codes and Private Information Retrieval, with O. Goldreich, H. Karloff and L. Trevisan. Computational Complexity 15(3):263-296, 2006 . Proc. 17th Conference on Computational Complexity 175-183, 2002. Preprint, 2001 . Quantum Mechanical Algorithms for the Nonabelian Hidden Subgroup Problem, with M. Grigni, M. Vazirani and U. Vazirani. Combinatorica 24(1):137-154, 2004. Preliminary version: Quantum mechanical algorithms for the nonabelian hidden subgroup problem Michelangelo Grigni , Leonard Schulman , Monica Vazirani , Umesh Vazirani STOC '01 Proceedings of the thirty-third annual ACM symposium on theory of computing 68-74,2001 The Vector Partition Problem for Convex Objective Functions, with S. Onn. Mathematics of Operations Research 26(3):583-590, 2001. Or here. A Probabilistic Analysis of EM for Mixtures of Separated, Spherical Gaussians, with S. Dasgupta. J. Machine Learning Research 8:203-226, 2007 . A two-round variant of EM for Gaussian mixtures, Proc. 16th UAI (Conference on Uncertainty in Artificial Intelligence) 152-159, 2000. Computing with highly mixed states Andris Ambainis , Leonard J. Schulman , Umesh Vazirani Journal of the ACM (JACM) 53(3):507-531,2006 Proc. 32nd STOC 697-704, 2000. Broadcasting on Trees and the Ising Model, with W. Evans, C. Kenyon and Y. Peres. Annals of Applied Probability 10(2):410-433, 2000. Clustering for edge-cost minimization (extended abstract) Leonard J. Schulman STOC '00 Proceedings of the thirty-second annual ACM symposium on theory of computing 547-555,2000 Updated Molecular scale heat engines and scalable quantum computation Leonard J. Schulman , Umesh V. Vazirani STOC '99 Proceedings of the thirty-first annual ACM symposium on theory of computing 322-329,1999 Preprint, 1998 A computationally motivated definition of parametric estimation and its applications to the Gaussian distribution, with V. Vazirani. Combinatorica 25(4):465-486, 2005. Preliminary version: Proc. 31st STOC 288-294, 1999. Or here. The quantum communication complexity of sampling, with A. Ambainis, A. Ta-Shma, U. Vazirani and A. Wigderson. SIAM J. Computing 32:1570-1585, 2003. Proc. 39th FOCS 342-351, 1998. Pattern Matching for Spatial Point Sets, with D. Cardoze. Proc. 39th FOCS 156-165, 1998. Updated A three-party communication problem. J. Computer and System Sciences 57:399-401, 1998. Asymptotically good codes correcting insertions, deletions and transpositions, with D. Zuckerman. IEEE Transactions on Information Theory 45(7):2552-2557, 1999. Proc. 8th SODA 669-674, 1997. Verification of Identities, with S. Rajagopalan. SIAM J. Computing 29(4):1155-1163, 2000. Proc. 37th FOCS 612-616, 1996. Bounds on the Chromatic Polynomial and on the Number of Acyclic Orientations of a Graph, with N. Kahale. Combinatorica 16(3):383-397, 1996. Or here. Splitters and near-optimal derandomization, with M. Naor and A. Srinivasan. Proc. 36th FOCS 182-191, 1995. Fairness in Scheduling, with M. Ajtai, J. Aspnes, M. Naor, Y. Rabani and O. Waarts. J. of Algorithms 29(2):306-357, 1998. Proc. 6th SODA 477-485, 1995. A coding theorem for distributed computation Sridhar Rajagopalan , Leonard Schulman STOC '94 Proceedings of the twenty-sixth annual ACM symposium on theory of computing 790-799,1994 A product theorem for intersection families. European J. of Combinatorics 15:579-586, 1994. Signal propagation and noisy circuits, with W. Evans. IEEE Transactions on Information Theory 45(7) 2367-2373, 1999. Or here. Proc. 34th FOCS 594-603, 1993. Coding for Interactive Communication. Special issue on Codes and Complexity of the IEEE Transactions on Information Theory 42(6) Part I:1745-1756, 1996. Combines Proc. 33rd FOCS 724-733, 1992 and Proc. 25th STOC 747-756, 1993. Postscript of 21 September 2003. Minimally distant sets of lattice points, with D. J. Kleitman. Special issue of the European J. of Combinatorics dedicated to Bernt Lindstrm 14:231-240, 1993. An equipartition of planar sets. Discrete and Computational Geometry 9:257-266, 1993. Sample spaces uniform on neighborhoods. Proc. 24th STOC 17-25, 1992. The maintenance of common data in a distributed system Baruch Awerbuch , Leonard J. Schulman Journal of the ACM (JACM) 44(1):86-103,1997 Proc. 32nd FOCS 505-514, 1991. Crossing families, with B. Aronov, P. Erds, W. Goddard, D. J. Kleitman, M. Klugerman and J. Pach. Combinatorica 14(2):127-134, 1994. Proc. 7th ACM Symp. Comp. Geom. 351-356, 1991. Optimal randomized algorithms for local sorting and set-maxima, with W. Goddard, C. Kenyon and V. King. SIAM J. Computing 22(2):272-283, 1993. Proc. 22nd STOC 45-53, 1990. Sorting on a ring of processors, with Y. Mansour. J. of Algorithms 11:622-630, 1990. Link to all preprints on the ArXiv Link to Computer Science publication listings at DBLP Essays Quantum algorithms: a test for the laws of physics, ENGenious Issue 7 Winter 2010. A bit chilly, Nature 438:431-432, 24 November 2005. Editorial Work Editor-in-Chief, SIAM Journal on Computing Past service on editorial boards: Journal of the ACM ACM Transactions on Algorithms SIAM Journal on Discrete Mathematics ACM Transactions on Computation Theory Postdocs and students I've worked with Postdocs: Ashwin Nayak, Yaoyun Shi, Sean Hallgren, Jie Gao, Michael Langberg, Nevin Kapur, Noam Berger, Eyal Rozenman, Chaitanya Swamy, Ben Recht, Yi-Kai Liu, Dan Feldman, Gorjan Alagic, Yakov Babichenko, Umang Bhaskar, Sid Barman, Stacey Jeffery, Georgios Piliouras, Krishnamurthy Dvijotham, Gil Cohen, Piyush Srivastava. Students: David Cardoze, Miroslav Dudik, Xiaojie Gao, Massimo Franceschetti, Po-Shen Loh, Chih-Kai Kevin Ko, Jeremy Hurwitz, Euiwoong Lee, Zhaorong Jin, William Hoza, and current students. Glossary Crypto: IACR International Cryptology Conference ESA: European Symposium on Algorithms FOCS: IEEE Symposium on Foundations of Computer Science FSTTCS: Conference on Foundations of Software Technology and Theoretical Computer Science IPCO: Conference on Integer Programming and Combinatorial Optimization ISIT: IEEE International Symposium on Information Theory ITCS: Conference on Innovations in Theoretical Computer Science PODC: ACM Symposium on Principles of Distributed Computing SODA: SIAM-ACM Symposium on Discrete Algorithms STOC: ACM Symposium on Theory of Computing UAI: Conference on Uncertainty in Artificial Intelligence Fantasy, abandoned by reason, produces impossible monsters; united with it, she is the mother of the arts and the origin of marvels. - Goya diff --git a/src/data/compiled_bios/5187.txt b/src/data/compiled_bios/5187.txt new file mode 100644 index 0000000000..1bd6f4b4a6 --- /dev/null +++ b/src/data/compiled_bios/5187.txt @@ -0,0 +1 @@ + Caltech EAS CMS Home People Publications Teaching Research Positions Contact Welcome Andrew Stuart has research interests in applied and computational mathematics, and is interested in particular in the question of how to optimally combine complex mechanistic models with data. He joined Caltech in 2016 as Bren Professor of Computing and Mathematical Sciences, after 17 years as Professor of Mathematics at the University of Warwick (1999--2016). Prior to that he was on the faculty in The Departments of Computer Science and Mechanical Engineering at Stanford University (1992--1999), and in the Mathematics Department at Bath University (1989--1992). He obtained his PhD from the Oxford University Computing Laboratory in 1986, and held postdoctoral positions in Mathematics at Oxford University and at MIT in the period 1986--1989 Research group, collaborators CV 2019 California Institute of Technology diff --git a/src/data/compiled_bios/5188.txt b/src/data/compiled_bios/5188.txt new file mode 100644 index 0000000000..96f2ae2805 --- /dev/null +++ b/src/data/compiled_bios/5188.txt @@ -0,0 +1 @@ + Skip to main content Division of Engineering & Applied Science Positions Available search search options CMS Caltech Department of Computing + Mathematical Sciences About Overview Mission History + Facts Facilities Life in the Department Location + Directions Positions Available Resources People Faculty Administration Visitors Postdoctoral Scholars Graduate Students Directory Academics Overview Graduate Programs Undergraduate Program Course Descriptions Course Schedule Honors and Awards Research Overview Centers + Initiatives Research Videos Meeting of the Minds Seminars & Events News Outreach Public Outreach Local Outreach Partners Program Contact Contact Us Location + Directions Directory Get Involved Women in CMS Faculty Joel A. Tropp Steele Family Professor of Applied and Computational Mathematics Degrees and Appointments B.A., B.S., University of Texas (Austin), 1999; M.S., 2001; Ph.D., 2004. Assistant Professor, Caltech, 2007-12; Professor, 2012-17; Steele Family Professor, 2017-. Assistant(s) Research Group Matters Sabrina Pirzada (626) 395-2813 spirzada@caltech.edu Research Group Website Research Overview Joel Tropp's work lies at the interface of applied mathematics, electrical engineering, computer science, and statistics. This research concerns the theoretical and computational aspects of data analysis, sparse modeling, randomized linear algebra, and random matrix theory. List of Research Areas algorithms, numerical analysis, statistics, random matrix theory CMS News about Joel A. Tropp AWS and Caltech Partner to Accelerate AI and Machine Learning Highly Cited Researchers Professor Tropp Receives Information & Inference Best Paper Prize Read more news about Joel A. Tropp Is this your profile? People Faculty Visitors Postdoctoral Scholars Graduate Students Directory Learn More Research Academics Visiting Contact Get Involved For Students How to Apply Course Catalog Course Schedule Life in the Department For Our Department Resources Positions Available Communications Office California Institute of Technology 1200 E California Blvd. MC 305-16, Pasadena, CA 91125 2019 Caltech . All rights reserved . Privacy Notice . Feedback? back to top diff --git a/src/data/compiled_bios/5189.txt b/src/data/compiled_bios/5189.txt new file mode 100644 index 0000000000..277f45d5fc --- /dev/null +++ b/src/data/compiled_bios/5189.txt @@ -0,0 +1 @@ + Chris Umans [ Home ][ Research ][ Teaching ][ Theory links ][ Other ] I am a professor of Computer Science in the Computing and Mathematical Sciences department at Caltech , and a member of the Theory Group . My research interests are in theoretical computer science, especially computational complexity. Specifically, I am interested in derandomization, explicit constructions, algebraic complexity and algorithms, and hardness of approximation. I received my Ph.D. in Computer Science from Berkeley in 2000. From 2000-2002 I was a postdoc in the Theory Group at Microsoft Research . I joined Caltech in 2002. Apply to Caltech: graduate studies (indicate "theory" as area of interest) postdoc positions (through CMI ) faculty positions Some professional activities: Some recent program committees: FOCS 2017 (chair) accepted papers ITCS 2017 , RANDOM 2016 (chair), STOC 2015, STOC 2014, CCC 2013 (chair), FOCS 2011, RANDOM 2010, CCC 2009, STOC 2009, FOCS 2007 Member of the Committee for the Advancement of Theoretical Computer Science (CATCS). Member of the scientific board of ECCC . Managing editor of Theory of Computing (ToC). Editorial boards of ACM Transactions on Computation Theory (TOCT), Computational Complexity (CC), Algorithmica (ALGO), and Journal of Computer and System Sciences (JCSS). On this page you can find: a summary of my research, and online papers teaching, and course notes useful theory links other links Chris Umans Computer Science, MC 305-16 California Institute of Technology 1200 E. California Blvd. Pasadena, CA 91125 Office: Annenberg 311 (626) 395-5725 umans@cs.caltech.edu diff --git a/src/data/compiled_bios/519.txt b/src/data/compiled_bios/519.txt new file mode 100644 index 0000000000..2e504af03e --- /dev/null +++ b/src/data/compiled_bios/519.txt @@ -0,0 +1 @@ +Gerry Brady Associate Clinical Professor, Masters Program in Computer Science Email: brady@cs.uchicago.edu Phone: 773-834-1340 Office: Ryerson 165A Website: https://masters.cs.uchicago.edu/masters/masters/masters/page/gerry-brady diff --git a/src/data/compiled_bios/5190.txt b/src/data/compiled_bios/5190.txt new file mode 100644 index 0000000000..a7a02025fb --- /dev/null +++ b/src/data/compiled_bios/5190.txt @@ -0,0 +1 @@ + Toggle navigation Thomas Vidick Home Publications Teaching About Professor of Computing and Mathematical Sciences California Institute of Technology email: vidick [at] cms [dot] caltech [dot] edu office: Annenberg 207 phone: (626) 395-8684 assistant: Bonnie Leung Curriculum Vitae I am CS option rep Option manager: Maria Lopez Office Hours: Mondays 5-6pm, 207 ANB Recent publications Trading locality for time: certifiable randomness from low-depth circuits The generation of certifiable randomness is the most fundamental information-theoretic task that meaningfully separates quantum devices from their classical counterparts. We propose a protocol for exponential certified randomness expansion using a single quantum device. The protocol calls for the device to implement a simple quantum circuit of constant depth on a 2D lattice of qubits. The output of the circuit can be verified classically in linear time, and contains a polynomial number of certified random bits under the sole physical assumption that the device used to generate the output operated using a (classical or quantum) circuit of sub-logarithmic depth. This assumption contrasts with the locality assumption used for randomness certification based on Bell inequality violation and more recent proposals for randomness certification based on computational assumptions. Our procedure is inspired by recent work of Bravyi et al. (arXiv:1704.00690), who designed a relation problem that can be solved by a constant-depth quantum circuit, but provably cannot be solved by any classical circuit of sub-logarithmic depth. We expand the discovery of Bravyi et al. into a framework for robust randomness expansion. Furthermore, to demonstrate randomness generation it is sufficient for a device to sample from the ideal output distribution within constant statistical distance. Our proposal can thus be interpreted as a proposal for demonstrated quantum advantage that is more noise-tolerant than most other existing proposals that can only tolerate multiplicative error, or require additional conjectures from complexity theory. Our separation does not require any conjectures, but assumes that the adversarial device implements a circuit of sub-logarithmic depth. Matthew Coudron , Jalex Stark , Thomas Vidick Manuscript, arXiv:1810.04233 . Quantum proof systems for iterated exponential time, and beyond We show that any language in nondeterministic time exp(exp(exp(n))), where the number of iterated exponentials is an arbitrary function R(n), can be decided by a multiprover interactive proof system with a classical polynomial-time verifier and a constant number of quantum entangled provers, with completeness 1 and soundness 1exp(Cexp(exp(n))), where the number of iterated exponentials is R(n)1 and C>0 is a universal constant. The result was previously known for R=1 and R=2; we obtain it for any time-constructible function R. The result is based on a compression technique for interactive proof systems with entangled provers that significantly simplifies and strengthens a protocol compression result of Ji (STOC'17). As a separate consequence of this technique we obtain a different proof of Slofstra's recent result (unpublished) on the uncomputability of the entangled value of multiprover games. Finally, we show that even minor improvements to our compression result would yield remarkable consequences in computational complexity theory and the foundations of quantum mechanics: first, it would imply that the class MIP* contains all computable languages; second, it would provide a negative resolution to a multipartite version of Tsirelson's problem on the relation between the commuting operator and tensor product models for quantum correlations. Joseph Fitzsimons , Zhengfeng Ji , Thomas Vidick , Henry Yuen Manuscript, arXiv:1805.12166 . Certifiable Randomness from a Single Quantum Device We give a protocol for producing certifiable randomness from a single untrusted quantum device that is polynomial-time bounded. The randomness is certified to be statistically close to uniform from the point of view of any computationally unbounded quantum adversary, that may share entanglement with the quantum device. The protocol relies on the existence of post-quantum secure trapdoor claw-free functions, and introduces a new primitive for constraining the power of an untrusted quantum device. We then show how to construct this primitive based on the hardness of the learning with errors (LWE) problem. The randomness protocol can also be used as the basis for an efficiently verifiable quantum supremacy proposal, thus answering an outstanding challenge in the field. Zvika Brakerski , Paul Christiano , Urmila Mahadev , Umesh Vazirani , Thomas Vidick To appear in the proceedings of FOCS'18 , arXiv:1804.00640 . A three-player coherent state embezzlement game We introduce a three-player nonlocal game, with a finite number of classical questions and answers, such that the optimal success probability of 1 in the game can only be achieved in the limit of strategies using arbitrarily high-dimensional entangled states. Precisely, there exists a constant 0 Zhengfeng Ji , Debbie Leung , Thomas Vidick Manuscript, arXiv:1802.04926 . Low-degree testing for quantum states For any integer n2 we construct a one-round two-player game Gn, with communication that scales poly-logarithmically with n, having the following properties. First, there exists an entangled strategy that wins with probability 1 in Gn and in which the players' outcomes are determined by performing generalized Pauli measurements on their respective share of an n-qudit maximally entangled state, with qudits of local dimension q=polylog(n). Second, any strategy that succeeds with probability at least 1-eps in Gn must be within distance O((logn)1/d), for universal constants c,d1, of the perfect strategy, up to local isometries. This is an exponential improvement on the size of any previously known game certifying (n) qudits of entanglement with comparable robustness guarantees. The construction of the game Gn is based on the classical test for low-degree polynomials of Raz and Safra, which we extend to the quantum regime. Combining this game with a variant of the sum-check protocol, we obtain the following consequences. First, we show that is QMA-hard, under randomized reductions, to approximate up to a constant factor the maximum acceptance probability of a multiround, multiplayer entangled game with polylog(n) bits of classical communication. Second, we give a quasipolynomial reduction from the multiplayer games quantum PCP conjecture to the constraint satisfaction quantum PCP conjecture. Third, we design a multiplayer protocol with polylogarithmic communication and constant completeness-soundness gap for deciding the minimal energy of a class of frustration-free nonlocal Hamiltonians up to inverse polynomial accuracy. Anand Natarajan , Thomas Vidick Presented at QIP'18 . To appear in the proceedings of FOCS'18, arXiv:1801.03821 . Entanglement in non-local games and the hyperlinear profile of groups We relate the amount of entanglement required to play linear-system non-local games near-optimally to the hyperlinear profile of finitely-presented groups. By calculating the hyperlinear profile of a certain group, we give an example of a finite non-local game for which the amount of entanglement required to play eps-optimally is at least (1/eps^k), for some k>0. Since this function approaches infinity as eps approaches zero, this provides a quantitative version of a theorem of the first author. William Slofstra , Thomas Vidick Annales Henri Poincare (2018) ( journal link ). Presented at QIP'18 , arXiv:1711.10676 . Practical device-independent quantum cryptography via entropy accumulation Proving security of device-independent (DI) cryptographic protocols has been regarded to be a complex and tedious task. In this work we show that a newly developed tool, the entropy accumulation theorem of Dupuis et al., can be effectively applied to give fully general proofs of DI security. At a high level our technique amounts to establishing a reduction to the scenario in which the untrusted device operates in an identical and independent way in each round of the protocol. This makes the proof much simpler and yields significantly better, essentially tight, quantitative results when considering general quantum adversaries, compared to what was known before. As concrete applications we give simple and modular security proofs for DI quantum key distribution and randomness expansion protocols based on the CHSH inequality. For both tasks we establish essentially optimal key rates and noise tolerance. As loophole-free Bell tests are finally being realised, our results considerably decrease the gap between theory and experiments, thereby marking an important step towards practical DI protocols and their implementations. Rotem Arnon-Friedman , Frederic Dupuis , Omar Fawzi , Renato Renner , Thomas Vidick Nature Communications 9:459(2018). Journal version of "Simple and tight device-independent security proofs", arXiv:1607.01797 . Two-player entangled games are NP-hard We show that the maximum success probability of players sharing quantum entanglement in a two-player game with classical questions of logarithmic length and classical answers of constant length is NP-hard to approximate to within constant factors. As a corollary, the inclusion of NEXP in MIP*, first shown in [IV12] with three provers, holds with two provers only. The proof is based on a simpler, improved analysis of the low-degree test Raz and Safra (STOC'97) against two entangled provers. Anand Natarajan , Thomas Vidick Proceedings of CCC'18 , arXiv:1710.03062 . A Quantum-Proof Non-Malleable Extractor, With Application to Privacy Amplification against Active Quantum Adversaries In privacy amplification, two mutually trusted parties aim to amplify the secrecy of an initial shared secret X in order to establish a shared private key K by exchanging messages over an insecure communication channel. If the channel is authenticated the task can be solved in a single round of communication using a strong randomness extractor; choosing a quantum-proof extractor allows one to establish security against quantum adversaries. In the case that the channel is not authenticated, Dodis and Wichs (STOC'09) showed that the problem can be solved in two rounds of communication using a non-malleable extractor, a stronger pseudo-random construction than a strong extractor. We give the first construction of a non-malleable extractor that is secure against quantum adversaries. The extractor is based on a construction by Li (FOCS'12), and is able to extract from source of min-entropy rates larger than 1/2. Combining this construction with a quantum-proof variant of the reduction of Dodis and Wichs, shown by Cohen and Vidick (unpublished), we obtain the first privacy amplification protocol secure against active quantum adversaries. Divesh Aggarwal , Kai-Min Chung , Han-Hsuan Lin , Thomas Vidick Submitted, arXiv:1710.00557 . Verifier-on-a-Leash new schemes for verifiable delegated quantum computation with quasilinear resources The problem of reliably certifying the outcome of a computation performed by a quantum device is rapidly gaining relevance. We present two protocols for a classical verifier to verifiably delegate a quantum computation to two non-communicating but entangled quantum provers. Our protocols have near-optimal complexity in terms of the total resources employed by the verifier and the honest provers, with the total number of operations of each party, including the number of entangled pairs of qubits required of the honest provers, scaling as O(glogg) for delegating a circuit of size g. This is in contrast to previous protocols, which all require a prohibitively large polynomial overhead. Our first protocol requires a number of rounds that is linear in the depth of the circuit being delegated, and is blind, meaning neither prover can learn the circuit being delegated. The second protocol is not blind, but requires only a constant number of rounds of interaction. Our main technical innovation is an efficient rigidity theorem which allows a verifier to test that two entangled provers perform measurements specified by an arbitrary m-qubit tensor product of single-qubit Clifford observables on their respective halves of m shared EPR pairs, with a robustness that is independent of m. Our two-prover classical-verifier delegation protocols are obtained by combining this rigidity theorem with a single-prover quantum-verifier protocol for the verifiable delegation of a quantum computation, introduced by Broadbent. Andrea Coladangelo , Alex Grilo , Stacey Jeffery , Thomas Vidick Presented at QIP'18 . Submitted, arXiv:1708.07359 . ... see all publications News At the JMM in Baltimore I gave a presentation of Urmila Mahadev's work on classical verification of quantum computation. Slides for the presentation are available in pdf format (animations missing). I also wrote some detailed notes to accompany the presentation, that should eventually be published in the Bulletin of the AMS. At QIP'19 in Boulder, Colorado I am giving a tutorial on verification of quantum computation. Slides for the tutorial are available in ppsx and (without the animations) pdf . In Spring 2020 I am co-organizing a semester on advances in quantum computing, entitled The Quantum Wave , at the Simons Institute in Berkeley. This summer I co-organized a program on Challenges in quantum computation at the Simons Institute in Berkeley, including a workshop that took place June 11-15 2018. During Spring break Dorit Aharonov, David Gosset and myself taught a Trends in Theory workshop on Quantum Computation at UCSD. The workshop was organized by Shachar Lovett. Notes for the school are available here. Teaching Winter 2019: CS/CMS 139, Design & Analysis of Algorithms . Fall 2018: CS152, Introduction to cryptography . Spring 2018: CS38, Introduction to algorithms. ... see previous teaching Recent talks Classical verification of quantum computations . Invited talk at the JMM 2019. Baltimore, 2019-01-18. A Cryptographic Test of Quantumness and Certifiable Randomness from a Single Quantum Device . Contributed talk at QIP'19. Boulder, 2019-01-15. Verification of quantum computations . Invited tutorial at QIP'19. Boulder, 2019-01-13. A Cryptographic Test of Quantumness and Certifiable Randomness from a Single Quantum Device . Contributed talk at FOCS'18. Paris, 2018-10-08. A Cryptographic Test of Quantumness and Certifiable Randomness from a Single Quantum Device . Stanford Institute for Theoretical Physics seminar. Stanford, 2018-09-27. A Cryptographic Test of Quantumness and Certifiable Randomness from a Single Quantum Device . Invited talk at AQIS 2018. Nagoya, Japan, 2018-09-11. ... see all talks I am a professor in the Computing and Mathematical Sciences department at the California Institute of Technology . Contact: email: vidick@cms.caltech.edu office: Annenberg 207 phone: (626) 395-8684 Mailing address: California Institute of Technology, MC 305-16 1200 E. California Blvd. Pasadena, CA 91125 diff --git a/src/data/compiled_bios/5191.txt b/src/data/compiled_bios/5191.txt new file mode 100644 index 0000000000..6f32d15d35 --- /dev/null +++ b/src/data/compiled_bios/5191.txt @@ -0,0 +1 @@ + adam wierman research teaching advice Quick Links publications professional bio contact info cv rigor + relevance blog heavy tails book Research groups RSRG DOLCIT Centers CMI SISL Linde Institute Resnick Institute Projects sustainable IT smart grid network economics Of interest google scholar listing coauthors my thesis erdos number academic genealogy Latest blog posts Another book chapter is up! Adam Wierman 9/26/2017 I just wanted to say thanks to the dozen or so folks that have emailed corrections for typos in Preprints of (a couple) book chapters are live Adam Wierman 9/5/2017 As the summer winds down, Im very happy to report that we actually made measurableprogress on our book project CS+X at Caltech: Disrupting science and engineering with computational thinking Adam Wierman 1/29/2017 It seems like Ive been waiting forever to make this post! Back in the fall, I helped to organize Older "Rigor + Relevance" blog posts... About me I am a Professor in the Department of Computing and Mathematical Sciences at Caltech , where I currently serve as the Executive Officer, a.k.a., chair. I also serve as the Director of the Information, Science, and Technology (IST) initiative at Caltech. I am the founding Director of the Rigorous System Research Group (RSRG, pronounced "resurge") and an active member of the new Decision, Optimization, and Learning at the California Institute of Technology (DOLCIT) research group. "CS+X" research is a strength of Caltech (see my recent talk ) and I participate actively in four interdisciplinary "CS+X" centers at Caltech: I am currently co-director of the Social and Information Sciences Laboratory (SISL, pronounced "sizzle") , which focuses on the intersection of Economics and Computer Science. I am on the board of directors of the Linde Institute of Economic and Management Sciences . I am a member of the Center for the Mathematics of Information (CMI) , which focuses on the intersection of Applied Mathematics, Electrical Engineering, and Computer Science. Finally, I am a member of the Resnick Sustainability Institute , which is an interdisciplinary initiative at Caltech connecting researchers focused on energy related issues from all across the campus. I also maintain an academic blog, titled Rigor + Relevance, where you can find thoughts about research issues, conferences, academic life, and teaching. I am actively recruiting students and postdocs. See see this page for information about joining RSRG and this page for information about joining DOLCIT. Note that we recently started a new, unique, interdisciplinary PhD program in "Computing and Mathematical Sciences" available this fall. You can also take a look at my blog post about it for more information. Research My research focuses on seemingly distinct areas: cloud computing, network economics, power systems, and heavy tails. Though diverse, the areas are all essential to my broader research goal: easing the incorporation of renewable energy into IT and, more generally, into the electricity grid. Broadly, my particular research style can be described as: "Rigorous system design." I use mathematical models to provide insight into the design of computer systems, markets, and power systems by applying techniques from algorithms, operations research, economics, and control. The major topics that I'm focusing on these days are: Algorithms for Sustainable IT Everyone has heard the statistics about how much of an energy hog IT has become: The emissions of a server are nearly that of a car! The electricity usage of data centers is growing 12 times faster than that of the US as a whole! While the last decade has led to significant improvements in energy-efficiency across IT, there is still a long ways to go to be truly sustainable. You can find out more at the RSRG Sustainable IT group page and the Resnick Institute website . You can also take a look at my papers in this area , a video of a recent talk on this topic I gave in the Distinguished Lecture Series at UC San Diego, and a recent profile of the work in the ENG magazine at Caltech. Markets for the Smart Grid Over the coming decade, the electricity network will undergo a complete architectural transformation, similar to what has happened to the communication network over the last decades. However, there are huge engineering and economic challenges in making this transformation possible. In fact, unlike in the case of communication networks, the economic market structure and engineering architecture are inherently intertwined in the electricity grid, which necessitates a new architectural theory for guiding this transformation. You can find out more at the RSRG Smart Grid group page and the Resnick Institute website . You can also look at my papers in this area , a video of a recent talk I gave at a workshop on "Data-aware Energy Use" , and slides from a recent talk on this topic given as part of the Grid 2020 series at the Resnick Institute. Platforms and Networked markets These days it is almost impossible to study communication networks without considering economic incentives. From net neutrality to the sharing economy, understanding the economic incentives in networks has become crucial. However, our understanding the interaction of economics and networks is still in its infancy. You can find out more at the RSRG Network Economics group page and the SISL website . You can also take a look at my papers in this area and a couple of recent talks on the topic regarding networked Cournot competition (part II is here) and cloud computing markets . Heavy tails Heavy-tails are a continual source of excitement and confusion across disciplines as they are repeatedly "discovered" in new contexts. This is especially true within computer systems, where heavy-tails seemingly pop up everywhere -- from degree distributions in the internet and social networks to file sizes and interarrival times of workloads. However, despite nearly a decade of work on heavy-tails they are still treated as mysterious, surprising, and even controversial. We are in the process of writing a new book on the topic that will (hopefully) highlight that heavy-tailed distributions need not be mysterious and should not be surprising or controversial. You can download pre-publication versions of completed chapters here. For details about our research on this topic you can check out my papers in this area and slides from a recent tutorial on the topic. "Empirical" Algorithmic game theory One of the fundamental tasks for research at the intersection of CS and Economics is to understand how to incorporate "computation" into classic economic theories. Toward this end, over the last decade, the task of understanding the computational complexity of economics models has been a cornerstone of the field and an understanding has emerged that many standard economic models are "hard" in the worst case. Motivated by this, our work looks at the question of whether these "hard" examples appear in real-world economic settings. More specifically, we look at whether data can reveal hard instances of economic models and we seek to quantify what properties of data sets necessitate hardness in inferred economic models. For details you can see our papers in this area or the slides from a recent talk I gave on the topic at UIUC Fairness and scheduling Modern designs often improve user response times by giving priority to small job sizes. But, this leads to worries about whether large job sizes receive fair performance. So, we need to ask: How much starvation/unfairness is caused to large jobs by prioritizing small jobs? For an introduction to the topic you can check out my PhD thesis , and for more details you can read my papers in this area. For more information about these and other current projects see my publications . Professional service I am very involved in the ACM SIGMETRICS community, and have served for many years on the program committee as well as on the board of directors for the SIG. I currently serve as Vice Chair of SIGMETRICS and PC Chair for Sigmetrics 2018 . I am also active in the INFORMS Applied Probability Society and have held editorial positions at IEEE Transactions on Networking (ToN), Operations Research (OR), ACM Transactions on Modeling and Performance Evaluation of Computing Systems (TOMPECS) Performance Evaluation (PEVA), IEEE Transactions on Internet Technology (TOIT), IEEE Transactions on Cloud Computing (TCC), Queueing Systems (QUESTA), IEEE Transactions on Network Science and Engineering (TNSE), and Sustainable Energy, Grids, and Networks (SEGAN). Additionally, I have frequently served on the program committees and organized workshops/tutorials for conferences in networking and systems conferences, e.g., NSDI, Sigcomm, Sigmetrics, Performance, Infocom, ICDCS, DCPerf, ITC, and ICCN; algorithmic game theory and network economics conferences, e.g., EC, NetEcon, WPIN, and NetCOOP; and power systems conferences, e.g., e-Energy, IGCC, and SmartGridComm. Yearly, I co-organize the Southern California Network Economics and Game Theory workshop as well as the Greenmetrics workshop. diff --git a/src/data/compiled_bios/5192.txt b/src/data/compiled_bios/5192.txt new file mode 100644 index 0000000000..8db1e57143 --- /dev/null +++ b/src/data/compiled_bios/5192.txt @@ -0,0 +1 @@ + Erik Winfree Professor Computer Science Computation and Neural Systems Bioengineering Caltech , MS 136-93, Moore 204B Pasadena, CA 91125 [USA] winfree@caltech.edu http://www.dna.caltech.edu/~winfree Voice: (626) 395-6246 FAX: (626) 584-0630 Assistant: Lucinda Acosta, x5707 My group is a part of The Molecular Programming Project In March 2016, I organized a symposium celebrating Ten Years of DNA Origami Research Interests Group research on biomolecular computation - DNA computation, DNA nanotechnology, and Molecular Programming - Algorithmic self-assembly using passive tiles - Algorithmic development using molecular robots - Cell-free biochemical circuits and systems - Enzyme-free DNA strand displacement circuits - Self-replicating molecular systems, evolution, and the origin of life - Multistranded DNA and RNA interaction thermodynamics, kinetics, and biophysics - Programming languages and compilers for nucleic acid systems - Fault-tolerance, self-healing, and randomness in molecular systems DNA Group Research Publications . My publications on Google Scholar and on on ResearchID . DNA Lab Wiki . Teaching Office hours: Moore 204, 1:30-2:00pm Tuesdays, Winter Term 2018. CNS/Bi/Ph/CS 187: Neural Computation (Fall 2000- 2006 , 2007 , 2008 ) [used to be CNS/Bi/Ph 185: Collective Computation]. CNS/CS/Bi 288: DNA and Molecular Computation (Winter 2001) BE 168: Reading the Bioengineering Literature (Winter 2013, 2015, 2017) BE 201: Reading the Bioengineering Literature (Winter 2018, 2019) BE/CS/CNS/Bi 191ab: Biomolecular Computation (Winter/Spring 2002, 2005, 2007, 2010, 2011 , Fall 2011 , Winter/Spring 2013 , 2014 , 2015 , 2016 , 2017 , 2018 , 2019 ) CS/EE/Ma 129ab and/or c: Information and Complexity (Fall 2002, 2003, Winter/Spring 2007, 2008, Fall/Winter/Spring 2009-2010, Fall 2011 ) The 2011 Caltech BIOMOD Team . Computing Beyond Silicon Summer School (June 17 - July 17, 2002; June 14 - July 9, 2004) [news stories] Collaborators, Past, Present (and Future?) Len Adleman's group ( USC, Computer Science ). Marc Bockrath's group ( University of California, Riverside, Physics ). Shuki Bruck's group ( Caltech, Electrical Engineering ). Luca Cardelli ( Microsoft Research Cambridge ). Ho-Lin Chen ( National Taiwan University, Electrical Engineering ). Anne Condon ( U. British Columbia, Computer Science ). Matt Cook's group ( ETH, Neuroinformatics ). Jonathan Doye's group ( Oxford, Theoretical Chemistry ). Deborah Fygenson 's group ( UCSB, Physics ). Peter Gacs ( Boston University, Computer Science ). Bill Goddard's group ( Caltech, Chemistry ). Ashish Goel 's group ( Stanford, MSE ). Eric Klavins's group ( U. Washington-Seattle, Electrical Engineering ). Ard Louis's group ( Oxford, Theoretical Physics ). Hideo Mabuchi 's group ( Stanford, Applied Physics ). Satoshi Murata's group ( Tohoko University, Mechanical Engineering ). Richard Murray 's group ( Caltech, Control and Dynamical Systems ). Niles Pierce's group ( Caltech, Bioengineering ). Lulu Qian's group ( Caltech, Bioengineering ). John Reif's group ( Duke University, Computer Science ). Paul Rothemund ( Caltech, Bioengineering ). Grzegorz Rozenberg ( Leiden Center for Natural Computing ). Rebecca Schulman's group ( Johns Hopkins, Chemical and Biomolecular Engineering ). Georg Seelig ( U. Washington-Seattle, Computer Science and Engineering ). Ned Seeman's group ( New York University, Chemistry ). Fritz Simmel's group ( Tech. U. Munich, Physics ). Milan Stojanovic ( Columbia University, Systems Biology ). Andrew Turberfield's group ( Oxford Condensed Matter Physics ). Nils Walter's group ( University of Michigan, Chemistry ). Hao Yan's group ( Arizona State University, Chemistry and Biochemistry ). Peng Yin's group ( Harvard, Wyss Institute ). Bernard Yurke ( Boise State University, Materials Science and Engineering ). Dave Zhang's group ( Rice, Bioengineering ). An exceptional artist: Ann Erpino . Awards and Recognition My C.V. ( long form ) MIT's Technology Review Magazine's TR100 award (1999). MIT's Technology Review Magazine has two issues where they describe my work: November/December 1999 (TR100 Award) and May/June 2000. Tulip Award in DNA Computing (2000). MacArthur Fellowship ( 2000 ). NSF PECASE award (2001) and ONR YIP award (2001). Foresight Nanotech Institute 's Feynman Prize in Theory and Experiment, shared with Paul Rothemund (2006). I was interviewed by Discover Magazine in the July-August 2009 issue. I was also interviewed by Genetic Engineering & Biotechnology News in October, 2009. Elected as a Fellow of the American Association for the Advancement of Science (AAAS) in 2015. Spotlight interview Workshops and Conferences Co-organizer: Ten Years of DNA Origami, March 14-16, 2016 . Co-organizer: Verification of Engineered Molecular Devices and Programs (VEMDP), July 19, 2015 . Co-organizer: Advances in Molecular Programming and Computing: Toward Chemistry as a New Information Technology, May 2-4, 2013 . (Workshop report in English , Japanese .) Co-organizer: 17th International Conference on DNA Computing and Molecular Programming, September 19 - 23, 2011 . Co-organizer: CBCD workshop on Self-Replicating Chemical Systems, August 27 - 28, 2007 . Co-organizer: Banff workshop on Stochasticity in Biochemical Reaction Networks, June 15 - 17, 2007 . Co-organizer: CBCD workshop on Engineering a DNA World, Jan 6 - 8, 2005 . Co-organizer: Banff workshop on Dynamics, Control and Computation in Biochemical Networks August 21 - 26, 2004 . Co-organizer: 5th DNA-Based Computers Meeting, MIT, June 14-15, 1999 . Co-organizer: DIMACS Workshop on Evolution as Computation, Princeton, January 11 - 12, 1999 . Professional Societies ISNSCE ("Essence"): International Society for Nanoscale Science, Computation, and Engineering , which sponsors two annual conferences: FNANO and DNA Computing and Molecular Programming . ACM: Association for Computing Machinery. ACS: American Chemical Society. MAA: Mathematical Association of America. AMS: American Mathematical Society. AAAS: American Association for the Advancement of Science. Past Life I was a Visiting Scientist in Tom Knight 's group in 2000 (when he was in the MIT AI Lab ). I was a Postdoctoral Scholar in Stan Leibler's group group in 1998-1999 (when he was at Princeton University ). I was a graduate student in John Hopfield 's group from 1994-1998 (when he was at Caltech) and in Al Barr's group from 1992-1994 at Caltech . As a graduate student, I also spent time in John Abelson 's lab (at Caltech) and in Ned Seeman's lab (at NYU), and I collaborated with Len Adleman (at USC). Hence: ---(old defunct molecular computation pages)--- and: ---(old SIRDS page)--- . From 1991-1992, I worked with Stephen Wolfram and Matt hew Cook . I was an undergraduate at the University of Chicago from 1987-1991, during which time I spent half a year doing math in Budapest . I went to Evanston Township High School and the best math summer camp ever . First science teacher: Dad. His 1964 essay on "The Scientist as Poet" . A nice essay about going to grad school that quotes my dad at the end. Family The love of my life, Lulu Qian . My sister, Rachael Winfree . My brother, Chris Woollcott. My mother, Trish Woollcott. My step-father, Phil Woollcott. My father, Art Winfree . My uncle's experience as artist-in-residence for the National Parks in Alaska. (He and his wife have an art studio .) Information about my food allergies email: winfree@caltech.edu diff --git a/src/data/compiled_bios/5193.txt b/src/data/compiled_bios/5193.txt new file mode 100644 index 0000000000..3248679a5b --- /dev/null +++ b/src/data/compiled_bios/5193.txt @@ -0,0 +1 @@ + Yisong Yue | Machine Learning Professor @ Home | About | Group | Research | Teaching | Etc. Contact Yisong Yue California Institute of Technology 1200 E. California Blvd. CMS, 305-16 Pasadena, CA 91125 Office: 303 Annenberg Email: yyue@caltech.edu ( please read before emailing ) Admin: Diane Goodfellow ( diane@cms.caltech.edu ) About I am an assistant professor in the Computing and Mathematical Sciences department at the California Institute of Technology . I am the director of the DOLCIT , which is broadly centered around research pertaining statistical decision theory, statistical machine learning, and optimization. more > Postdoc Openings We are soliciting postdoc applications for the DOLCIT Postdoctoral Fellowship Program . Ideal candidates should have broad interests in machine learning. Our research interests span the entire spectrum of theoretical and applied machine learning. We have numerous collaborations with the sciences and engineering. New PhD Program Prospective PhD Students, please consider applying to Caltech's new PhD program in Computing and Mathematical Sciences . I also recruit from the PhD program in Computation & Neural Systems . info for prospective students & postdocs > Research My research interests lie primarily in the theory and application of statistical machine learning . I am more generally interested in artificial intelligence . I am the director of DOLCIT , and I also interact closely with the RSRG and Computational Vision groups at Caltech, as well as the Center for Autonomous Systems and Technology (CAST) and the Center for the Mathematics of Information (CMI) . My research interests lie primarily in the theory and application of statistical machine learning. I am particularly interested in developing novel methods for interactive machine learning and structured machine learning. In the past, my research has been applied to information retrieval, recommender systems, text classification, learning from rich user interfaces, analyzing implicit human feedback, data-driven animation, behavior analysis, sports analytics, experiment design for science, policy learning in robotics, and adaptive planning & allocation problems. more > Selected Recent Publications & Preprints: Detecting Adversarial Examples via Neural Fingerprinting Sumanth Dathathri, Stephan Zheng, Yisong Yue, Richard M. Murray [ arxiv ][ code ] Learning to Search via Retrospective Imitation Jialin Song, Ravi Lanka, Albert Zhao, Yisong Yue, Masahiro Ono [ arxiv ] Neural Lander: Stable Drone Landing Control using Learned Dynamics Guanya Shi, Xichen Shi, Michael O'Connell, Rose Yu, Kamyar Azizzadenesheli, Anima Anandkumar, Yisong Yue, Soon-Jo Chung International Conference on Robotics and Automation (ICRA) , May 2019. [ arxiv ][ demo video ] Generating Multi-Agent Trajectories using Programmatic Weak Supervision Eric Zhan, Stephan Zheng, Yisong Yue, Long Sha, Patrick Lucey International Conference on Learning Representations (ICLR) , May 2019. [ OpenReview ][ arxiv (outdated) ][ demo ][ code ] Hierarchical Imitation and Reinforcement Learning Hoang M. Le, Nan Jiang, Alekh Agarwal, Miroslav Dudk, Yisong Yue, Hal Daum III International Conference on Machine Learning (ICML) , July 2018. [ pdf ][ arxiv ][ project ] Iterative Amortized Inference Joseph Marino, Yisong Yue, Stephan Mandt International Conference on Machine Learning (ICML) , July 2018. [ pdf ][ arxiv ][ code ] Near-Optimal Machine Teaching via Explanatory Teaching Sets Yuxin Chen, Oisin Mac Aodha, Shihan Su, Pietro Perona, Yisong Yue International Conference on Artificial Intelligence and Statistics (AISTATS) , April 2018. [ pdf ] Multi-dueling Bandits with Dependent Arms Yanan Sui, Vincent Zhuang, Joel Burdick, Yisong Yue Conference on Uncertainty in Artificial Intelligence (UAI) , August 2017. [ pdf ][ arxiv ] A Deep Learning Approach for Generalized Speech Animation Sarah Taylor, Taehwan Kim, Yisong Yue, Moshe Mahler, James Krahe, Anastasio Garcia Rodriguez, Jessica Hodgins, Iain Matthews ACM Conference on Computer Graphics (SIGGRAPH) , July 2017. [ pdf ][ demo video ] Smooth Imitation Learning for Online Sequence Prediction Hoang M. Le, Andrew Kang, Yisong Yue, Peter Carr International Conference on Machine Learning (ICML) , June, 2016. [ pdf ][ video ][ press release ][ Sports Illustrated ][ DataScience.com ] more publications > News & Announcements Earthquake Early Detection : State-of-the-art results on earthquake early detection using deep learning! [ arxiv ] Earthquake Localization : State-of-the-art results on earthquake localization using deep learning! [ arxiv ] Invited Workshop : I am presenting at the NeurIPS 2018 workshop on Imitation Learning and its Challenges in Robotics . Invited Talk : I am presenting at UCLA on November 20th, 2018. Invited Talk : I am presenting at the University of Maryland College Park on October 24th, 2018. Invited Talk : I am presenting at Microsoft Research Redmond on October 3rd & 4th, 2018. Invited Talk : I am presenting at the University of Washington AI Seminar on October 2nd, 2018. Invited Talk : I am presenting at the Rice CS Colloquium on September 27th, 2018. Okawa Award : I recently received the Okawa Foundation Research Grant . Invited Workshop : I am presenting on Inference+Imitation at the Tractable Probabilistic Models workshop at ICML 2018. Invited Workshop : I am presenting on Machine Teaching for Human Learners at the Humanizing AI workshop at IJCAI 2018. Tutorial : I am giving a tutorial on imitation learning with Hoang Le at ICML 2018 . (video below) Invited Talk : I am presenting at the Intel AI DevCon . (video below) Invited Talk : Invited talk at UT Austin AI Seminar on March 30th, 2018. Invited Workshop : I am attending the Data-driven Algorithmics workshop on November 5-10, 2017. Invited Talk : Invited talk at Southern California Machine Learning Symposium on October 6th, 2017. Blog Article : Our paper on smooth imitation learning was covered in an invited blog article titled Beyond Deep Learning: a Case Study in Sports Analytics . [ ICML paper ] Invited Talk : Invited talk at Microsoft Research Colloquium at MSR New England on September 6th, 2017. [ video ] Dagstuhl Seminar : I am attending the Machine Learning and Formal Methods Dagstuhl Seminar on August 28th - September 1st, 2017. Press Release : Our work on data-driven speech animation is highlighted on Road to VR ! [ SIGGRAPH paper ][ demo video (shown below)] Press Release & Interview : Neural Networks Model Audience Reactions to Movies , also radio interview . [ CVPR paper ] more > [All Content 2019 Yisong Yue] diff --git a/src/data/compiled_bios/5194.txt b/src/data/compiled_bios/5194.txt new file mode 100644 index 0000000000..c012db146f --- /dev/null +++ b/src/data/compiled_bios/5194.txt @@ -0,0 +1 @@ + Skip to main content Division of Engineering & Applied Science Positions Available search search options CMS Caltech Department of Computing + Mathematical Sciences About Overview Mission History + Facts Facilities Life in the Department Location + Directions Positions Available Resources People Faculty Administration Visitors Postdoctoral Scholars Graduate Students Directory Academics Overview Graduate Programs Undergraduate Program Course Descriptions Course Schedule Honors and Awards Research Overview Centers + Initiatives Research Videos Meeting of the Minds Seminars & Events News Outreach Public Outreach Local Outreach Partners Program Contact Contact Us Location + Directions Directory Get Involved Women in CMS Faculty Fernando Brandao Bren Professor of Theoretical Physics Degrees and Appointments B.Sc., Universidade Federal de Minas Gerais, 2004; M.Sc., 2005; Ph.D. Imperial College London, 2008. Bren Professor, Caltech, 2016-. Research Overview Fernando Brando's research is focused on quantum information science. He explores the interplay of physics, computer science and mathematics to study the role of quantum mechanics in computation and information transmission. He is also interested in the application of tools and concepts of quantum information to other branches of science, such as quantum many-body theory, complexity theory and thermodynamics/statistical mechanics. In recent years he has been exploring several directions in entanglement theory, from understanding the relation between entanglement and other physical properties (such as correlation length) in quantum many-body systems, to developing a sharper understanding of fundamental properties of entanglement such as its monogamous character (with applications in quantum cryptography, quantum Hamiltonian complexity, and even in convex optimisation). CMS News about Fernando Brandao Erika Ye Wins 2018 Google PhD Fellowship Designing Computer Software of the Future The Power of Entanglement Read more news about Fernando Brandao Is this your profile? People Faculty Visitors Postdoctoral Scholars Graduate Students Directory Learn More Research Academics Visiting Contact Get Involved For Students How to Apply Course Catalog Course Schedule Life in the Department For Our Department Resources Positions Available Communications Office California Institute of Technology 1200 E California Blvd. MC 305-16, Pasadena, CA 91125 2019 Caltech . All rights reserved . Privacy Notice . Feedback? back to top diff --git a/src/data/compiled_bios/5195.txt b/src/data/compiled_bios/5195.txt new file mode 100644 index 0000000000..fc70c0c011 --- /dev/null +++ b/src/data/compiled_bios/5195.txt @@ -0,0 +1 @@ + Skip to main content Division of Engineering & Applied Science Positions Available search search options CMS Caltech Department of Computing + Mathematical Sciences About Overview Mission History + Facts Facilities Life in the Department Location + Directions Positions Available Resources People Faculty Administration Visitors Postdoctoral Scholars Graduate Students Directory Academics Overview Graduate Programs Undergraduate Program Course Descriptions Course Schedule Honors and Awards Research Overview Centers + Initiatives Research Videos Meeting of the Minds Seminars & Events News Outreach Public Outreach Local Outreach Partners Program Contact Contact Us Location + Directions Directory Get Involved Women in CMS Faculty Soon-Jo Chung Bren Professor of Aerospace; Jet Propulsion Laboratory Research Scientist Degrees and Appointments B.S., Korea Advanced Institute of Science and Technology, 1998; S.M., Massachusetts Institute of Technology, 2002; Sc.D., 2007. Associate Professor, Caltech, 2016-18; Professor, 2018-19; Bren Scholar, 2016-19; Bren Professor, 2019-; Jet Propulsion Laboratory Research Scientist, 2016-. Assistant(s) Research Group Matters Martha Salcedo 237 Guggenheim Lab (626) 395-4450 msalcedo@caltech.edu Research Group Website Research Overview Professor Chung's research focuses on distributed spacecraft systems, space autonomous systems, and aerospace robotics, and in particular, on the theory and application of complex nonlinear dynamics, control, estimation, guidance, and navigation of autonomous space and air vehicles. CMS News about Soon-Jo Chung Professor Chungs Bat Bot Featured in Museum of Arts and Crafts in Hamburg Robot Drone That Mimics Bat Flight Taking Flight: Professor Soon-Jo Chung Read more news about Soon-Jo Chung Is this your profile? People Faculty Visitors Postdoctoral Scholars Graduate Students Directory Learn More Research Academics Visiting Contact Get Involved For Students How to Apply Course Catalog Course Schedule Life in the Department For Our Department Resources Positions Available Communications Office California Institute of Technology 1200 E California Blvd. MC 305-16, Pasadena, CA 91125 2019 Caltech . All rights reserved . Privacy Notice . Feedback? back to top diff --git a/src/data/compiled_bios/5196.txt b/src/data/compiled_bios/5196.txt new file mode 100644 index 0000000000..19390a696b --- /dev/null +++ b/src/data/compiled_bios/5196.txt @@ -0,0 +1 @@ + home home publications Frederick Eberhardt mailing address: MC 101-40 California Institute of Technology Pasadena, CA 91125 USA fde [at] caltech [dot] edu phone: (+1) 626 395 4163 office: Dabney 201B biography I am Professor of Philosophy in the Division of the Humanities and Social Sciences at the California Institute of Technology . Before coming to Caltech I was Assistant Professor in the Philosophy-Neuroscience-Psychology (PNP) program and the Department of Philosophy at Washington University in St. Louis . In 2011 I took a two year research leave to work on causal discovery methods at Carnegie Mellon University with a grant from the James S. McDonnell Foundation . Before going to St. Louis I was a McDonnell postdoc at the Institute of Cognitive and Brain Sciences at the University of California, Berkeley . I completed my Ph.D. in the Philosophy Department at Carnegie Mellon University . research My research interests lie at the formal end of philosophy of science, the machine learning end of statistics and computer science, and the learning and modeling end of psychology and cognitive science. My work has focused primarily on methods for causal discovery from statistical data, the use of experiments in causal discovery, the integration of causal inferences from different data sets and the philosophical issues at the foundations of causality and probability. I have done some work on computational models in cognitive science and some historical work on the philosophy of Hans Reichenbach, especially his frequentist interpretation of probability. education Ph.D., Carnegie Mellon University, Department of Philosophy , 2007. M.S., Carnegie Mellon University, Center for Automated Learning and Discovery (now Machine Learning Department ), School of Computer Science , 2005. B.Sc. (Philosophy & Mathematics), London School of Economics , 2002. Picture: arches and tile work in one of the mosques in the Registan in Samarkand, Uzbekistan, 2009 diff --git a/src/data/compiled_bios/5197.txt b/src/data/compiled_bios/5197.txt new file mode 100644 index 0000000000..d32a93ceae --- /dev/null +++ b/src/data/compiled_bios/5197.txt @@ -0,0 +1 @@ + Babak Hassibi Gordon M. Binder/Amgen Professor Executive Officer for Electrical Engineering Associate Director for Information Science and Technology My research is in communications, signal processing, and control. I am currently most interested in wireless networks and in genomic signal processing. In the wireless network area I study modeling issues, information-theoretic questions, scheduling, protocols, various performance criteria, etc. In the genomic signal processing area I have been studying real-time DNA microarrays, a novel technology that we have developed. My earlier work includes: multi-antenna systems (e.g., space-time codes); efficient decoding algorithms in communications; adaptive signal processing and neural networks; blind channel equalization; statistical signal processing; robust estimation and control, especially connections between robustness and adaptation; and linear algebra, with emphasis on fast algorithms, random matrices and group representation theory. I retain a keen interest in all these. [ Bio | Publications | Presentations | Patents | Group Homepage | Courses | Personal | Links | Contact ] diff --git a/src/data/compiled_bios/5198.txt b/src/data/compiled_bios/5198.txt new file mode 100644 index 0000000000..8d9839b29a --- /dev/null +++ b/src/data/compiled_bios/5198.txt @@ -0,0 +1 @@ + Skip to main content Division of Engineering & Applied Science Positions Available search search options CMS Caltech Department of Computing + Mathematical Sciences About Overview Mission History + Facts Facilities Life in the Department Location + Directions Positions Available Resources People Faculty Administration Visitors Postdoctoral Scholars Graduate Students Directory Academics Overview Graduate Programs Undergraduate Program Course Descriptions Course Schedule Honors and Awards Research Overview Centers + Initiatives Research Videos Meeting of the Minds Seminars & Events News Outreach Public Outreach Local Outreach Partners Program Contact Contact Us Location + Directions Directory Get Involved Women in CMS Faculty Alexei Kitaev Ronald and Maxine Linde Professor of Theoretical Physics and Mathematics Degrees and Appointments Dipl., Moscow Institute of Physics and Technology, 1986; Ph.D., Landau Institute for Theoretical Physics, 1989. Visiting Associate, Caltech, 1998-99; Lecturer, 1998-99; Senior Research Associate, 2001-02; Professor, 2002-13; Linde Professor, 2013-. Research Overview Professor Kitaev works in the field of quantum computation and related areas of theoretical physics. His main contribution was the concept of topological quantum computation, a scheme where quantum information is protected from errors due to special properties of the underlying physical system, which are generally related to topology. He currently focuses on topological classification of quantum phases (a nontrivial example being the 2-dimensional electron liquid in the quantum Hall regime). List of Research Areas quantum computation, topological quantum phases, anyons, topological insulators and superconductors CMS News about Alexei Kitaev Professor Kitaev Receives $3M Fundamental Physics Prize Alexei Kitaev Named a MacArthur Fellow Read more news about Alexei Kitaev Is this your profile? People Faculty Visitors Postdoctoral Scholars Graduate Students Directory Learn More Research Academics Visiting Contact Get Involved For Students How to Apply Course Catalog Course Schedule Life in the Department For Our Department Resources Positions Available Communications Office California Institute of Technology 1200 E California Blvd. MC 305-16, Pasadena, CA 91125 2019 Caltech . All rights reserved . Privacy Notice . Feedback? back to top diff --git a/src/data/compiled_bios/5199.txt b/src/data/compiled_bios/5199.txt new file mode 100644 index 0000000000..3c9b8eb586 --- /dev/null +++ b/src/data/compiled_bios/5199.txt @@ -0,0 +1 @@ + ELECTRICAL ENGINEERING Victoria Kostina About Me I joined Caltech as an Assistant Professor of Electrical Engineering in the fall of 2014. Previously, I worked as a postdoctoral researcher with Prof. Sergio Verd . I completed my PhD at Princeton University in September 2013. I spent the spring of 2015 as a Research Fellow at Simons Institute for the Theory of Computing . I hold a Bachelor's degree from Moscow institute of Physics and Technology , where I was affiliated with the Institute for Information Transmission Problems of the Russian Academy of Sciences , and a Master's degree from University of Ottawa . I received the 2013Princeton Electrical Engineering Best Dissertation Award and the 2017 NSF CAREER award . My research interests lie in information theory, theory of random processes, coding, wireless communications, and control. I am particularly interested in fundamental limits of delay-sensitive communications . Curriculum Vitae Openings I am looking for strong students and postdocs to join my research group. Prospective students: I apologize I am unable to respond to all inquiries please do apply online and mention my name as a possible research advisor. I supervise students from the Computing and Mathematical Sciences (CMS) , Control and Dynamical Systems (CDS) , and Electrical Engineering (EE) PhD programs. Prospective postdocs: please apply through the Center for the Mathematics of Information (CMI) postdoctoral fellowship program and mention my name in the application. Research Preprints V. Kostina, Y. Peres, G. Ranade, and M. Sellke, " Exact minimum number of bits to stabilize a linear system ," arXiv:1807.07686 , July 2018. V. Kostina, Y. Peres, G. Ranade, M. Sellke, "Stabilizing a system with an unbounded random gain using only a finite number of bits" , arXiv:1805.05535 , May 2018. P. Tian, V. Kostina, "The Dispersion of the Gauss-Markov Source" , arXiv:1804.09418 , April 2018. M. Effros, V. Kostina and R.C. Yavas, " Random Access Channel Coding in the Finite Blocklength Regime , arXiv:1801.09018 , Feb 2018. V. Kostina and E. Tuncel, "Successive refinement of abstract sources" , arXiv:1707.09567 , July 2017. Journal Articles V. Kostina and B. Hassibi, "Rate-cost tradeoffs in control" , IEEE Transactions on Automatic Control, to appear, 2019. A. Khina, E. Riedel Garding, G. M. Petterson, V. Kostina, and B. Hassibi, "Control over Gaussian channels with and without source-channel separation" , IEEE Transactions on Automatic Control, to appear, Sep. 2019. A. Khina, A. Khisti, V. Kostina, and B. Hassibi, "Tracking and Control of Gauss-Markov processes over Packet-Drop channels with acknowledgements" , IEEE Transactions on Control of Network Systems, June 2018. A. Marsiglietti and V. Kostina, "A lower bound on the differential entropy of log-concave random vectors with applications" PDF, Entropy (Special Issue Entropy and Information Inequalities ), vol. 20, no. 3, Mar. 2018. V. Kostina, "Data compression with low distortion and finite blocklength" , IEEE Transactions on Information Theory, vol. 63, no. 7, pp. 4268-4285, July 2017. V. Kostina, Y. Polyanskiy and S. Verd, "Joint source-channel coding with feedback" , IEEE Transactions on Information Theory, vol. 63, no. 6, pp. 3502-3515, June 2017. V. Kostina and S. Verd, "Nonasymptotic noisy lossy source coding" , IEEE Transactions on Information Theory, vol. 62, no. 11, pp. 6111-6123, Nov. 2016. V. Kostina, Y. Polyanskiy and S. Verd, "Variable-length compression allowing errors" , IEEE Transactions on Information Theory, vol. 61, no. 9, pp. 4316-4330, Aug. 2015. V. Kostina and S. Verd, "Channels with cost constraints: strong converse and dispersion" , IEEE Transactions on Information Theory, vol. 61, no. 5, pp. 2415-2429, May 2015. S. Loyka, V. Kostina, and F. Gagnon, "On convexity of error rates in digital communications" , IEEE Transactions on Information Theory, vol. 59, no. 10, pp. 6501-6516, Oct. 2013. V. Kostina and S. Verd, "Lossy joint source-channel coding in the finite blocklength regime" , IEEE Transactions on Information Theory, vol. 59, no. 5, pp. 2545-2575, May 2013. V. Kostina and S. Verd, "Fixed-length lossy compression in the finite blocklength regime" , IEEE Transactions on Information Theory, vol. 58, no. 6, pp. 3309-3338, June 2012. V. Kostina and S. Loyka, "Optimum power and rate allocation for coded V-BLAST: Instantaneous optimization" , IEEE Transactions on Communications, vol. 59, no. 10, pp. 2841-2850, Oct. 2011. V. Kostina and S. Loyka, "Optimum power and rate allocation for coded V-BLAST: Average optimization" , IEEE Transactions on Communications, vol. 59, no. 3, pp. 877-887, Mar. 2011. S. Loyka, V. Kostina, and F. Gagnon, "Error rates of the maximum-likelihood detector for arbitrary constellations: convex/concave behavior and applications" , IEEE Transactions on Information Theory, vol. 56, no. 4, pp. 1948-1960, Apr. 2010. V. Kostina and S. Loyka, "On optimum power allocation for the V-BLAST" , IEEE Transactions on Communications, vol. 56, no. 6, pp. 999-1012, June 2008. Ph.D. Dissertation V. Kostina, "Lossy data compression: nonasymptotic fundamental limits" , Ph.D. dissertation, Princeton University, Sep. 2013. Princeton Electrical Engineering Best Dissertation Award. Conference Papers V. Kostina, Y. Peres, G. Ranade, and M. Sellke, "Exact minimum number of bits to stabilize a linear system," in Proceedings 57th IEEE Conference on Decision and Control, Dec. 2018. M. Effros, V. Kostina and R. C. Yavas, "Random access channel coding in the finite blocklength regime", in Proceedings 2018 IEEE International Symposium on Information Theory, Vail, Colorado, June 2018. pp. 1261-1265. P. Tian and V. Kostina, "The Dispersion of the Gauss-Markov Source", in Proceedings 2018 IEEE International Symposium on Information Theory, Vail, Colorado, June 2018. pp. 1490-1494. A. Marsiglietti and V. Kostina, "New connections between the entropy power inequality and geometric inequalities", in Proceedings 2018 IEEE International Symposium on Information Theory, Vail, Colorado, June 2018. pp. 1978-1982 V. Kostina, Y. Peres, G. Ranade and M. Sellke, "Stabilizing a system with an unbounded random gain using only finitely many bits", in Proceedings 2018 IEEE International Symposium on Information Theory, Vail, Colorado, June 2018. pp. 2256-2260. Y. Nakahira, F. Xiao, V. Kostina, J. C. Doyle, "Fundamental limits and achievable performance in biomolecular control", in Proceedings 2018 American Control Conference, Milwaukee, WI, June 2018. pp. 2707-2714. A. Khina, V. Kostina, A. Khisti, and B. Hassibi, "Sequential coding of Gauss-Markov sources with packet erasures and feedback," in Proceedings 2017 IEEE Information Theory Workshop, Kaohsiung, Taiwan, Nov. 2017. pp. 529-530. M. Ebrahimi, F. Lahouti, V. Kostina, "Coded random access design for constrained outage", in Proceedings 2017 IEEE International Symposium on Information Theory, Aachen, Germany, June 2017, pp. 2732-2736. V. Kostina and E. Tuncel, "The rate-distortion function for successive refinement of abstract sources," in Proceedings 2017 IEEE International Symposium on Information Theory, Aachen, Germany, June 2017, pp. 1923-1927. A. Marsiglietti and V. Kostina, "A lower bound on the differential entropy for log-concave random variables with applications to rate-distortion theory", in Proceedings 2017 IEEE International Symposium on Information Theory, Aachen, Germany, June 2017, pp. 46-50. P. Noorzad, M. Effros, M. Langberg, V. Kostina, "The birthday problem and zero-error list codes", in Proceedings 2017 IEEE International Symposium on Information Theory, Aachen, Germany, June 2017, pp. 1648-1652. Extended version. A. Khina, G. M. Pettersson, V. Kostina, and B. Hassibi, "Multi-rate control over AWGN channels: An analog joint source-channel coding perspective" ,in Proceedings 2016 IEEE Conference on Decision and Control, Las Vegas, NV, Dec. 2016. pp. 5968-5973. V. Kostina, When is Shannons lower bound tight? , in Proceedings 54th Annual Allerton Conference on Communication, Control and Computing, Monticello, IL, Oct. 2016. pp. 982-989. V. Kostina and B. Hassibi, Rate-cost tradeoffs in control , in Proceedings 54th Annual Allerton Conference on Communication, Control and Computing, Monticello, IL, Oct. 2016. pp. 1157-1164. V. Kostina, Y. Peres, M. Z. Rcz, G. Ranade, Rate-limited control of systems with uncertain gain, in Proceedings 54th Annual Allerton Conference on Communication, Control and Computing, Monticello, IL, Oct. 2016. pp. 1189-1196. V. Kostina, "Data compression with low distortion and finite blocklength", in Proceedings 53rd Annual Allerton Conference on Communication, Control and Computing, Monticello, IL, Oct. 2015. pp. 1127-1134. V. Kostina, Y. Polyanskiy and S. Verd, "Joint source-channel coding with feedback", in Proceedings 2015 IEEE International Symposium on Information Theory, Hong Kong, June 2015. pp. 276-280. V. Kostina, Y. Polyanskiy and S. Verd, "Transmitting k samples over the Gaussian channel: energy-distortion tradeoff", in Proceedings 2015 IEEE Information Theory Workshop, Jerusalem, Israel, Apr. 2015. pp. 1-5. V. Kostina and S. Verd, "The output distribution of good lossy source codes" , in Proceedings 2015 Information Theory and Applications Workshop, La Jolla, CA, Feb. 2015. pp. 308-312. V. Kostina, Y. Polyanskiy, and S. Verd, "Variable-length compression allowing errors", in Proceedings 2014 IEEE International Symposium on Information Theory, Honolulu, HI, July 2014. pp. 2679-2683. V. Kostina and S. Verd, "Nonasymptotic noisy lossy source coding", in Proceedings 2013 IEEE Information Theory Workshop, Seville, Spain, Sep. 2013. pp. 1-5. V. Kostina and S. Verd, "Channels with cost constraints: strong converse and dispersion", in Proceedings 2013 IEEE International Symposium on Information Theory, Istanbul, Turkey, July 2013. pp. 1734-1738. S. Loyka, V. Kostina, and F. Gagnon, "Convexity of error rates in digital communications under non-Gaussian noise", in Proceedings 2013 IEEE International Symposium on Information Theory, Istanbul, Turkey, July 2013. pp. 41-45. V. Kostina and S. Verd, "To code or not to code: Revisited" , Proceedings 2012 IEEE Information Theory Workshop, Lausanne, Switzerland, Sep. 2012, pp. 5-9. V. Kostina and S. Verd, "Lossy joint source-channel coding in the finite blocklength regime", in Proceedings 2012 IEEE International Symposium on Information Theory, Cambridge, MA, July 2012, pp. 1553-1557. V. Kostina and S. Verd, "A new converse in rate-distortion theory" , Proceedings 46th Annual Conference on Information Sciences and Systems, Princeton, NJ, Mar. 2012, pp. 1-6. V. Kostina and S. Loyka, "Performance analysis of coded V-BLAST with optimum power and rate allocation", in Proceedings 2011 IEEE International Symposium on Information Theory, Saint Petersburg, Russia, Aug. 2011, pp. 1851-1855. V. Kostina and S. Verd, "Fixed-length lossy compression in the finite blocklength regime: discrete memoryless sources", in Proceedings 2011 IEEE International Symposium on Information Theory, Saint Petersburg, Russia, Aug. 2011, pp. 41-45. V. Kostina, M. F. Duarte, S. Jafarpour, and R. Calderbank, "The value of redundant measurement in compressed sensing" , in Proceedings 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Prague, Czech Republic, May 2011, pp. 3656-3659. V. Kostina and S. Verd, "Fixed-length lossy compression in the finite blocklength regime: Gaussian source", in Proceedings 2011 IEEE Information Theory Workshop, Paraty, Brazil, Oct. 2011, pp. 457-461. S. Loyka, F. Gagnon, and V. Kostina, "Error rates of capacity-achieving codes are convex", in Proceedings 2010 IEEE International Symposium on Information Theory, Austin, TX, June 2010, pp. 325-329. A. Lorbert, D. Eis, V. Kostina, D. M. Blei, and P. J. Ramadge, "Exploiting covariate similarity in sparse regression via the pairwise elastic net" , in Proceedings 13th International Conference on Artificial Intelligence and Statistics, vol. 9, Chia Laguna, Sardinia, Italy, May 2010, pp. 477-484. S. Loyka, V. Kostina, and F. Gagnon, "Bit error rate is convex at high SNR", in Proceedings 2009 IEEE International Zurich Seminar on Communications, ETH Zurich, Switzerland, Mar. 2010, pp. 41-44. V. Kostina and S. Loyka, "Optimum power allocation for coded V-BLAST", in Proceedings 2009 IEEE International Conference on Communications, Dresden, Germany, June 2009. pp. 1-6. V. Kostina and S. Loyka, "Performance analysis of V-BLAST with optimum power allocation", in Proceedings 2007 IEEE Global Telecommunications Conference, Washington, DC, Nov. 2007, pp. 1508-1513. S. Loyka, V. Kostina, and F. Gagnon, "Symbol error rates of maximum-likelihood detector: Convex/concave behavior and applications", in Proceedings 2007 IEEE International Symposium on Information Theory, Nice, France, June 2007, pp. 2501-2505. V. Kostina and S. Loyka, "Transmit power allocation for the V-BLAST algorithm", in Proceedings 23rd Queen's Biennial Symposium on Communications, Kingston, Canada, May 2006, pp. 165-168. V. Kostina and S. Loyka, "On optimization of the V-BLAST algorithm", in Proceedings 2006 IEEE International Zurich Seminar on Communications, ETH Zurich, Switzerland, Feb. 2006, pp. 110-113. Matlab Toolbox SPECTRE: Short Packet Communication Toolbox provides numerical routines to compute bounds and approximations for some popular channel and source models in finite blocklength information theory. Teaching EE 167: Introduction to Data Compression and Storage Spring 2017 The course will introduce the students to the basic principles and techniques of codes for data compression and storage. The students will master the basic algorithms used for lossless and lossy compression of digital and analog data and the major ideas behind coding for flash memories. Topics include the Huffman code, the arithmetic code, Lempel-Ziv dictionary techniques, scalar and vector quantizers, transform coding; codes for constrained storage systems. Prerequisites: Ma 3 or ACM 116. EE/Ma/CS 127: Error-Correcting Codes Winter 2016, Winter 2017, Fall 2017, Winter 2019 Prerequisites: Ma 2. This course develops from first principles the theory and practical implementation of the most important techniques for combating errors in digital transmission or storage systems. Topics include algebraic block codes, e.g., Hamming, BCH, Reed-Solomon (including a self-contained introduction to the theory of finite fields); and the modern theory of sparse graph codes with iterative decoding, e.g., LDPC codes, turbo codes. The students will become acquainted with encoding and decoding algorithms, design principles, and performance evaluation of codes. EE 120: Topics in Information Theory Spring 2016, Spring 2018 This class introduces information measures such as entropy, information divergence, mutual information, information density from a probabilistic point of view, and discusses the relations of those quantities to problems in data compression and transmission, statistical inference, language modeling, game theory, and control. Topics include information projection, data processing inequalities, sufficient statistics, hypothesis testing, single-shot approach in information theory, large deviations. Prerequisites: undergraduate calculus and probability; desirable but not required: EE 126. EE 150: Nonasymptotic Information Theory Fall 2014 Delay-constrained theory of information: single-shot results, information spectrum methods. Information-theoretic limits for sources and channels with memory and/or general alphabets. Advantages of variable-length, feedback, and joint source-channel coding in the nonasymptotic regime. Error exponents, source, and channel dispersion. Prerequisite: EE/Ma 126. Videos V. Kostina, Exact Minimum Number of Bits to Stabilize a Linear System , Simons Institute, Berkeley, May 1, 2018. V. Kostina, Information-Performance Tradeoffs in Control , Microsoft Research, Redmond, Apr. 13, 2017. V. Kostina, Fixed- and Variable-Length Data Compression at Finite Blocklength , IMA, Minneapolis, Apr. 13, 2015. V. Kostina, Lossy Data Compression: Non-asymptotic Fundamental Limits, Mar. 3, 2014. In the News Computational Thinking: How Computer Science Is Revolutionizing Science and Engineering , ENGeniousno. 15, Fall 2018-19. Two Caltech Faculty Selected for NSF CAREER Awards , Mar. 5, 2018. Professor Kostina Receives NSF CAREER Award , Feb. 12, 2018. What Is Possible in Real-World Communication Systems: An Interview with Victoria Kostina . Feb. 12, 2018. Contact Email: vkostina@caltech.edu Office: Moore 162A Mailing address: 1200 E California Blvd MC 136-93 Pasadena CA 91125 Phone number: (626) 395-1320 Admin Assistant: Liliana Chavarria Moore 162B (626) 395-4715 Last updated January 22, 2019. About Me Openings Research Teaching Videos In the News Contact diff --git a/src/data/compiled_bios/52.txt b/src/data/compiled_bios/52.txt new file mode 100644 index 0000000000..52777dcc74 --- /dev/null +++ b/src/data/compiled_bios/52.txt @@ -0,0 +1 @@ + Ranjitha Kumar RANJITHA@ILLINOIS.EDU Curriculum Vitae SIEBEL 4224 FALL 2017 OH: WED 1-2PM I'm an Assistant Professor in the Department of Computer Science and (by courtesy) the Department of Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign . I run the Data Driven Design Group , where my students and I leverage data mining and machine learning to address the central challenge of creating good user experiences: tying design decisions to desired outcomes. I received my PhD from the Department of Computer Science at Stanford University , where I worked with Scott Klemmer . I was formerly the Chief Scientist at Apropose, Inc., a data-driven design company I co-founded, which was backed by Andreessen Horowitz and New Enterprise Associates . SELECTED PUBLICATIONS Learning Design Semantics for Mobile Apps Thomas F. Liu, Mark Craft, Jason Situ, Ersin Yumer, Radomir Mech, and Ranjitha Kumar Proceedings of UIST '18 Recently, researchers have developed black-box approaches to mine design and interaction data from mobile apps. Although the data captured during this interaction mining is descriptive, it does not expose the design semantics of UIs: what elements on the screen mean and how they are used. This paper introduces an automatic approach for generating semantic annotations for mobile app UIs. Through an iterative open coding of 73k UI elements and 720 screens, we contribute a lexical database of 25 types of UI components, 197 text button concepts, and 135 icon classes shared across apps. We use this labeled data to learn code-based patterns to detect UI components and to train a convolutional neural network that distinguishes between icon classes with 94% accuracy. To demonstrate the efficacy of our approach at scale, we compute semantic annotations for the 72k unique UIs in the Rico dataset, assigning labels for 78% of the total visible, non-redundant elements. Learning Type-Aware Embeddings for Fashion Compatibility Mariya I. Vasileva, Bryan A. Plummer, Krishna Dusad, Shreya Rajpal, Ranjitha Kumar, and David Forsyth Proceedings of ECCV '18 Outfits in online fashion data are composed of items of many different types (e.g. top, bottom, shoes) that share some stylistic relationship with one another. A representation for building outfits requires a method that can learn both notions of similarity (for example, when two tops are interchangeable) and compatibility (items of possibly different type that can go together in an outfit). This paper presents an approach to learning an image embedding that respects item type, and jointly learns notions of item similarity and compatibility in an end-to-end model. To evaluate the learned representation, we crawled 68,306 outfits created by users on the Polyvore website. Our approach obtains 3-5% improvement over the state-of-the-art on outfit compatibility prediction and fill-in-the-blank tasks using our dataset, as well as an established smaller dataset, while supporting a variety of useful queries. Designing the Future of Personal Fashion Kristen Vaccaro, Tanvi Agarwalla, Sunaya Shivakumar, and Ranjitha Kumar Proceedings of CHI '18 Advances in computer vision and machine learning are changing the way people dress, and buy clothes. Given the vast space of fashion problems, where can data-driven technologies provide the most value? To understand consumer pain points and opportunities for technological interventions, this paper presents the results from two independent need-finding studies that explore the gold-standard of personalized shopping: interacting with a personal stylist. Through interviews with five personal stylists, we study the range of problems they address and their in-person processes for working with clients. In a separate study, we investigate how styling experiences map to online settings by building and releasing a chatbot that connects users to one-on-one sessions with a stylist, acquiring more than 70 organic users in three weeks. These conversations reveal that in-person and online styling sessions share similar goals, but online sessions often involve smaller problems that can be resolved more quickly. Based on these explorations, we propose future personalized, online interactions that address consumer trust and uncertainty, and discuss opportunities for automation. ZIPT: Zero-Integration Performance Testing of Mobile App Designs Biplab Deka, Zifeng Huang, Chad Franzen, Jeffrey Nichols, Yang Li, and Ranjitha Kumar Proceedings of UIST '17 To evaluate the performance of mobile app designs, designers and researchers employ techniques such as A/B, usability, and analytics-driven testing. While these are all useful strategies for evaluating known designs, comparing many divergent solutions to identify the most performant remains a costly and difficult problem. This paper introduces a design performance testing approach that leverages existing app implementations and crowd workers to enable comparative testing at scale. This approach is manifest in ZIPT, a zero-integration performance testing platform that allows designers to collect detailed design and interaction data over any Android app including apps they do not own and did not build. Designers can deploy scripted tests via ZIPT to collect aggregate user performance metrics (e.g., completion rate, time on task) and qualitative feedback over third-party apps. Through case studies, we demonstrate that designers can use ZIPTs aggregate data and visualizations to understand the relative performance of interaction patterns found in the wild, and identify usability issues in existing Android apps. Rico: A Mobile App Dataset for Building Data-Driven Design Applications Biplab Deka, Zifeng Huang, Chad Franzen, Joshua Hibschman, Daniel Afergan, Yang Li, Jeffrey Nichols, and Ranjitha Kumar Proceedings of UIST '17 Data-driven models help mobile app designers understand best practices and trends, and can be used to make predictions about design performance and support the creation of adaptive UIs. This paper presents Rico, the largest repository of mobile app designs to date, created to support five classes of data-driven applications: design search, UI layout generation, UI code generation, user interaction modeling, and user perception prediction. To create Rico, we built a system that combines crowdsourcing and automation to scalably mine design and interaction data from Android apps at runtime. The Rico dataset contains design data from more than 9.7k Android apps spanning 27 categories. It exposes visual, textual, structural, and interactive design properties of more than 72k unique UI screens. To demonstrate the kinds of applications that Rico enables, we present results from training an autoencoder for UI layout similarity, which supports query-by-example search over UIs. Identifying Fashion Accounts in Social Networks Doris Jung-Lin Lee, Jinda Han, Dana Chambourova, and Ranjitha Kumar KDD Workshop on ML Meets Fashion '17 Fashion and style are characterized by the ebb and flow of trends. With the rise of social media, fashion blogs, and the fast-fashion movement, bottom-up fashion trends are emerging at an ever-increasing rate. Recognizing these trends as they happen --- and the influencers that create them --- is challenging for retailers and consumers alike. As a first step, this paper presents a classifier for identifying fashion-related accounts on social media. To develop this classifier, we created a dataset of 10k Twitter accounts from crawling the set of users followed by ten prominent fashion accounts, and crowdsourced ground-truth labels for them. Based on this training data and a set of content-based features, we trained a classifier that identfies whether or not a Twitter account is fashion-related. In the future, we hope to leverage this classifier to identify key fashion influencers and conduct large-scale monitoring of fashion trends. An Experimentation Engine for Data-Driven Fashion Systems Ranjitha Kumar and Kristen Vaccaro Proceedings of AAAI Symposium on UX of ML '17 Data-driven fashion systems of the future will revolutionize the way consumers shop for clothing and choose outfits: imagine an automated personal stylist that ships clothes straight to your door based on their compatibility with your existing wardrobe, the upcoming events on your calendar, and style trends learned from the web. To build such systems, we must identify the fashion activities that are the largest consumer pain points, the interventions necessary to alleviate those pains, and the computational models that enable those interventions. To guide the design of these next-generation tools, we propose an experimentation engine for fashion interfaces: leveraging social media platforms to run multivariate design tests with thousands to millions of users. Social platforms are already home to dedicated communities of fashion enthusiasts, and expose programmable agents --- chatbots --- that can be used to rapidly prototype data-driven design interfaces. Measuring the number of followers and user engagement amongst these prototypes can inform the design of future standalone fashion systems. At this workshop, we will sketch the design space of fashion experiments, and present preliminary results from deploying our fashion bots. ERICA: Interaction Mining For Mobile Apps Biplab Deka, Zifeng Huang, and Ranjitha Kumar Proceedings of UIST '16 Design plays an important role in adoption of apps. App design, however, is a complex process with multiple design activities. To enable data-driven app design applications, we present interaction mining --- capturing both static (UI layouts, visual details) and dynamic (user flows, motion details) components of an app's design. We present ERICA, a system that takes a scalable, human-computer approach to interaction mining existing Android apps without the need to modify them in any way. As users interact with apps through ERICA, it detects UI changes, seamlessly records multiple data-streams in the background, and unifies them into a user interaction trace. Using ERICA we collected interaction traces from over a thousand popular Android apps. Leveraging this trace data, we built machine learning classifiers to detect elements and layouts indicative of 23 common user flows. User flows are an important component of UX design and consists of a sequence of UI states that represent semantically meaningful tasks such as searching or composing. With these classifiers, we identified and indexed more than 3000 flow examples, and released the largest online search engine of user flows in Android apps. The Elements of Fashion Style Kristen Vaccaro, Sunaya Shivakumar, Ziqiao Ding, Karrie Karahalios, and Ranjitha Kumar Proceedings of UIST '16 The outfits people wear contain latent fashion concepts capturing styles, seasons, events, and environments. Fashion theorists have proposed that these concepts are shaped by design elements such as color, material, and silhouette. A dress may be bohemian because of its pattern, material, trim, or some combination of them: it is not always clear how low-level elements translate to high-level styles. In this paper, we use polylingual topic modeling to learn latent fashion concepts jointly in two languages capturing these elements and styles. Using this latent topic formation we can translate between these two languages through topic space, exposing the elements of fashion style. We train the polylingual topic model (PLTM) on a set of more than half a million outfits collected from Polyvore, a popular fashion-based social network. We present novel, data-driven fashion applications that allow users to express their needs in natural language just as they would to a real stylist and produce tailored item recommendations for these style needs. Learning Interpretable Musical Compositional Rules and Traces Haizi Yu, Lav R. Varshney, Guy E. Garnett, and Ranjitha Kumar Proceedings of ICML WHI '16 Throughout music history, theorists have identified and documented interpretable rules that capture the decisions of composers. This paper asks, Can a machine behave like a music theorist? It presents MUS-ROVER, a self-learning system for automatically discovering rules from symbolic music. MUS-ROVER performs feature learning via n-gram models to extract compositional rules --- statistical patterns over the resulting features. We evaluate MUS-ROVER on Bachs (SATB) chorales, demonstrating that it can recover known rules, as well as identify new, characteristic patterns for further study. We discuss how the extracted rules can be used in both machine and human composition. Accounting for Taste: Ranking Curators and Content in Social Networks Haizi Yu, Biplab Deka, Jerry O. Talton, and Ranjitha Kumar Proceedings of CHI '16 Ranking users in social networks is a well-studied problem, typically solved by algorithms that leverage network structure to identify influential users and recommend people to follow. In the last decade, however, curation --- users sharing and promoting content in a network --- has become a central social activity, as platforms like Facebook, Twitter, Pinterest, and GitHub drive growth and engagement by connecting users through content and content to users. While existing algorithms reward users that are highly active with higher rankings, they fail to account for users' curatorial taste. This paper introduces CuRank, an algorithm for ranking users and content in social networks by explicitly modeling three characteristics of a good curator: discerning taste, high activity, and timeliness. We evaluate CuRank on datasets from two popular social networks --- GitHub and Vine --- and demonstrate its efficacy at ranking content and identifying good curators. What Makes a Brand Look Expensive? Jingxian Zhang, Neel Kothari, Asad Butt, and Ranjitha Kumar Extended Abstracts of CHI '16 Branding is a powerful tool that companies use to control the perception of their products' quality and price. A company's website is a digital vehicle for conveying this brand information. The look and feel of a website often influence a customer's impression of a brand's price category. To understand what makes a brand look expensive, we evaluate the website designs of two industries --- watches and cars. We ran a crowdsourced study to collect ratings of perceived cost based on web page screenshots. By training a random forest regression model over these ratings, we learned which visual features of website design are predictive of perceived cost. Webzeitgeist: Design Mining the Web Ranjitha Kumar, Arvind Satyanarayan, Cesar Torres, Maxine Lim, Salman Ahmad, Scott R. Klemmer, and Jerry O. Talton Proceedings of CHI '13 BEST PAPER AWARD Advances in data mining and knowledge discovery have transformed the way Web sites are designed. However, while visual presentation is an intrinsic part of the Web, traditional data mining techniques ignore render-time page structures and their attributes. This paper introduces design mining for the Web: using knowledge discovery techniques to understand design demographics, automate design curation, and support data-driven design tools. This idea is manifest in Webzeitgeist, a platform for large-scale design mining comprising a repository of over 100,000 Web pages and 100 million design elements. This paper describes the principles driving design mining, the implementation of the Webzeitgeist architecture, and the new class of data-driven design applications it enables. Learning Structural Semantics for the Web Maxine Lim, Ranjitha Kumar, Arvind Satyanarayan, Cesar Torres, Jerry O. Talton, and Scott R. Klemmer Stanford University CSTR 2012-03 Researchers have long envisioned a Semantic Web, where unstructured Web content is replaced by documents with rich semantic annotations. Unfortunately, this vision has been hampered by the difficulty of acquiring semantic metadata for Web pages. This paper introduces a method for automatically 'semantifying' structural page elements: using machine learning to train classifiers that can be applied in a post-hoc fashion. We focus on one popular class of semantic identifiers: those concerned with the structureor information architectureof a page. To determine the set of structural semantics to learn and to collect training data for the learning, we gather a large corpus of labeled page elements from a set of online workers. We discuss the results from this collection and demonstrate that our classifiers learn structural semantics in a general way. Learning Design Patterns with Bayesian Grammar Induction Jerry O. Talton, Lingfeng Yang, Ranjitha Kumar, Maxine Lim, Noah D. Goodman, and Radomr Mch Proceedings of UIST '12 BEST PAPER NOMINEE Design patterns have proven useful in many creative fields, providing content creators with archetypal, reusable guidelines to leverage in projects. Creating such patterns, however, is a time-consuming, manual process, typically relegated to a few experts in any given domain. In this paper, we describe an algorithmic method for learning design patterns directly from data using techniques from natural language processing and structured concept learning. Given a set of labeled, hierarchical designs as input, we induce a probabilistic formal grammar over these exemplars. Once learned, this grammar encodes a set of generative rules for the class of designs, which can be sampled to synthesize novel artifacts. We demonstrate the method on geometric models and Web pages, and discuss how the learned patterns can drive new interaction mechanisms for content creators. Data-Driven Web Design Ranjitha Kumar, Jerry O. Talton, Salman Ahmad, and Scott R. Klemmer Proceedings of ICML '12 INVITED APPLICATIONS PAPER This short paper summarizes challenges and opportunities of applying machine learning methods to Web design problems, and describes how structured prediction, deep learning, and probabilistic program induction can enable useful interactions for designers. We intend for these techniques to foster new work in data-driven Web design. Flexible Tree Matching Ranjitha Kumar, Jerry O. Talton, Salman Ahmad, Tim Roughgarden, and Scott R. Klemmer Proceedings of IJCAI '11 INVITED PAPER Tree-matching problems arise in many computational domains. The literature provides several methods for creating correspondences between labeled trees; however, by definition, tree-matching algorithms rigidly preserve ancestry. That is, once two nodes have been placed in correspondence, their descendants must be matched as well. We introduce flexible tree matching, which relaxes this rigid requirement in favor of a tunable formulation in which the role of hierarchy can be controlled. We show that flexible tree matching is strongly NP-complete, give a stochastic approximation algorithm for the problem, and demonstrate how structured prediction techniques can learn the algorithm's parameters from a set of example matchings. Finally, we present results from applying the method to tasks in Web design. Bricolage: Example-Based Retargeting for Web Design Ranjitha Kumar, Jerry O. Talton, Salman Ahmad, and Scott R. Klemmer Proceedings of CHI '11 BEST PAPER AWARD The Web provides a corpus of design examples unparalleled in human history. However, leveraging existing designs to produce new pages is often difficult. This paper introduces the Bricolage algorithm for transferring design and content between Web pages. Bricolage employs a novel, structured-prediction technique that learns to create coherent mappings between pages by training on human-generated exemplars. The produced mappings are then used to automatically transfer the content from one page into the style and layout of another. We show that Bricolage can learn to accurately reproduce human page mappings, and that it provides a general, efficient, and automatic technique for retargeting content between a variety of real Web pages. Designing with Interactive Example Galleries Brian Lee, Savil Srivastava, Ranjitha Kumar, Ronen Brafman, and Scott R Klemmer Proceedings of CHI '10 Designers often use examples for inspiration; examples offer contextualized instances of how form and content integrate. Can interactive example galleries bring this practice to everyday users doing design work, and does working with examples help the designs they create? This paper explores whether people can realize significant value from explicit mechanisms for designing by example modification. We present the results of three studies, finding that independent raters prefer designs created with the aid of examples, that users prefer adaptively selected examples to random ones, and that users make use of multiple examples when creating new designs. To enable these studies and demonstrate how software tools can facilitate designing with examples, we introduce interface techniques for browsing and borrowing from a corpus of examples, manifest in the Adaptive Ideas Web design tool. Adaptive Ideas leverages a faceted metadata interface for viewing and navigating example galleries. NEWS Google Faculty Research Award for 'Design Mining Android Apps at Scale' renewed for 2nd year Received AWS Machine Learning Research Award with David Forsyth for 'Using Fashion to Learn Material Similarities' Received Amazon Research Award for 'An Experimentation Engine for Personal Fashion' NSF CAREER proposal on 'Tying Design to Outcomes: Open-sourced Analytics for Mobile App Testing' recommended for funding Our groups work on identifying fashion influencers on social media covered in CNN future of fashion article Want to understand how mobile design patterns perform? Benchmark your app design against competitors? Try ZIPT! Rico, the largest repository of mobile app designs to date, is available for download Received Adobe Research Award for 'Probabilistic Generative Models for Mobile Design' GROUP PHD Biplab Deka '17 McKinsey & Company Kristen Vaccaro Jinda Han Deniz Arsan MS Sujay Khandekar Thomas Liu Krishna Dusad Abhishek Harish '16 Google BS Ziqiao Ding Qinglin Chen Mark Craft Hanzi (Amber) Shen '17 Amazon Dana Chambourova '17 Flexport Chad Franzen '17 Google Forrest Zifeng Huang '17 UC Berkeley PhD Student Kedan Li '16 Fitbit Erik Luo '16 Google TEACHING SPRING 2019 TE100: Introduction to Innovation, Leadership, and Engineering Entrepreneurship CS199US: The Underground Unicorn Seminar FALL 2017 CS498RK: The Art of Web Programming SPRING 2017 CS598RK: Data-Driven Design CS199US: The Underground Unicorn Seminar FALL 2016 CS498RK: The Art of Web Programming SPRING 2016 CS498RK: The Art and Science of Web Programming FALL 2015 CS598RK: Data-Driven Design SPRING 2015 CS498RK: The Art and Science of Web Programming CS199RK: Research with Design, Data, and the Web FALL 2014 CS598RK: Data-Driven Design diff --git a/src/data/compiled_bios/520.txt b/src/data/compiled_bios/520.txt new file mode 100644 index 0000000000..60d5a9539d --- /dev/null +++ b/src/data/compiled_bios/520.txt @@ -0,0 +1 @@ +Gordon Kindlmann Associate ProfessorDepartment of Computer Science Associate Professor and Fellow,Computation Institute Address Office:Phone: Email: glk@uchicago.edu Phone: (773) 834-3066 Office: JCL 323 Website: http://people.cs.uchicago.edu/~glk/ Research: biomedical image analysis, scientific visualization, systems Biography I research image analysis and data visualization to improve the computation of imaging-based science. Science pairs measurement tools that produce experimental data with computational tools to process the data. Advances in scanned imaging modalities (like MRI and confocal microscopy) are constantly increasing the speed, resolution, and sophistication of image measurements. Scientists can now form hypotheses and conduct experiments faster than they can find or create the computational analysis best matched to their new image data. Unfortunately, the process of creating new software remains slow or opaque for many people, and advances in parallel computing (required for large images) complicate the process even for experts. I collaborate with physical and biomedical researchers who acquire image data to answer scientific questions. My research simplifies how informative visualizations are created, and improves how relevant image features are detected, sampled, and quantified. I am also interested in the theoretical and perceptual bases of effective data visualization. I foster re-usable and reproducible computational science by making all my research software open-source. diff --git a/src/data/compiled_bios/5200.txt b/src/data/compiled_bios/5200.txt new file mode 100644 index 0000000000..62865f32a6 --- /dev/null +++ b/src/data/compiled_bios/5200.txt @@ -0,0 +1 @@ + Skip to main content Division of Engineering & Applied Science Positions Available search search options CMS Caltech Department of Computing + Mathematical Sciences About Overview Mission History + Facts Facilities Life in the Department Location + Directions Positions Available Resources People Faculty Administration Visitors Postdoctoral Scholars Graduate Students Directory Academics Overview Graduate Programs Undergraduate Program Course Descriptions Course Schedule Honors and Awards Research Overview Centers + Initiatives Research Videos Meeting of the Minds Seminars & Events News Outreach Public Outreach Local Outreach Partners Program Contact Contact Us Location + Directions Directory Get Involved Women in CMS Faculty Beverley J. McKeon Theodore von Karman Professor of Aeronautics Degrees and Appointments B.A., University of Cambridge, 1995; M.Eng.,1996; M.A. (Mechanical and Aerospace Engineering); M.A. (Engineering), Princeton University, 1999; Ph.D., 2003. Assistant Professor, Caltech, 2006-11; Professor, 2011-17; von Karman Professor, 2017-; Associate Director, 2012-17. Assistant(s) Research Group Matters Denise Ruiz G365 Guggenheim Lab (626) 395-4426 druiz@caltech.edu Research Group Website Research Overview Professor McKeon explores new ways to manipulate or control the boundary layerthe thin layer between a material and flowing airto improve flow characteristics, such as a reduction of drag, noise, and structural loading or expansion of vehicle performance envelopes during travel. The unifying theme to her work is an experimental and theoretical approach at the intersection of fluid mechanics, control, and materials science to investigate fundamental flow questions, address efficiency and performance challenges in aerospace vehicle design, and respond to the energy conservation imperative in novel and efficient ways. Specific interests include: Modeling and control of wall-bounded flows using smart, morphing surfaces. Resolvent analysis as a tool for modeling turbulent, transitional and controlled flows; rigorous, system-level tools for understanding flow physics and design of flow control schemes. Assimilation of experimental data for efficient low-order flow modeling. Measurement, definition and description of high Reynolds number wall turbulence. Interdisciplinary approaches to experimental flow manipulation for performance enhancement and understanding of fundamental flow physics; application of new materials to flow control. List of Research Areas Fluid mechanics, turbulent boundary layers, flow control, morphing surfaces, resolvent analysis for reduced order mdoeling, data assimilation for unsteady flows, measurement techniques CMS News about Beverley J. McKeon John Dabiri, Beverley McKeon, and Joel Tropp Recieve PECASE Awards President Obama Presents Three EAS Faculty with the PECASE Read more news about Beverley J. McKeon Is this your profile? People Faculty Visitors Postdoctoral Scholars Graduate Students Directory Learn More Research Academics Visiting Contact Get Involved For Students How to Apply Course Catalog Course Schedule Life in the Department For Our Department Resources Positions Available Communications Office California Institute of Technology 1200 E California Blvd. MC 305-16, Pasadena, CA 91125 2019 Caltech . All rights reserved . Privacy Notice . Feedback? back to top diff --git a/src/data/compiled_bios/5201.txt b/src/data/compiled_bios/5201.txt new file mode 100644 index 0000000000..9750477b82 --- /dev/null +++ b/src/data/compiled_bios/5201.txt @@ -0,0 +1 @@ + Home Research Publications Data Sets Courses People Pietro Perona Allen E. Puckett Professor of Electrical Engineering and Computation and Neural Systems. Director of the National Science Foundation Engineering Research Center in Neuromorphic Systems Engineering Bio : Dr. Pietro Perona is the Allen E. Puckett Professor of Electrical Engineering at Caltech. He directs Computation and Neural Systems (www.cns.caltech.edu), a PhD program centered on the study of biological brains and intelligent machines. Professor Perona's research centers on vision. He has contributed to the theory of partial differential equations for image processing and boundary formation, and to modeling the early visual system's function. He is currently interested in visual categories and visual recognition. Research Group: Computational Vision Laboratory Research interests : Computer vision: Recognition, Navigation, Human-Computer interfaces, Texture analysis, Multiresolution image analysis, Diffusions. Human vision: Perception of shape-from-shading, perception of texture. Models of early vision. Contact: phone: 626.395.2084 office: 104 Moore address: 1200 E. California Blvd. mail code: 136-93 Research Projects Selected Publications Classes : Fall - CNS 187, Neural Computation Winter - CNS 186, Introduction to Vision Spring - EE/CS/CNS 148b, Advanced Topics in Computer Vision Information for prospective post-docs and graduate students Advising students in the following PhD programs : Electrical Engineering Computation and Neural Systems Computer Science Control and Dynamical Systems Computing and Mathematical Sciences Reaching me by email : Email is the best way to reach me; unfortunately, I am not terribly efficient in reading all the email I receive. Sometimes you do not need to reach me directly: for scheduling appointments and time-sensitive issues mail to assistant@vision.caltech.edu for direct communication use perona@caltech.edu. Please summarize the main points of your message in the first paragraph. I only pay attention to the first few lines of each message, so it is best to send separate messages with appropriate titles if you wish to communicate on independent topics. for matters related to the NSF Engineering Research Center mail to director@erc.caltech.edu prospective graduate students please read our 'contact' page 2011 California Institute of Technology Caltech | Electrical Engineering | Computation and Neural Systems | Related Links at Caltech top diff --git a/src/data/compiled_bios/5202.txt b/src/data/compiled_bios/5202.txt new file mode 100644 index 0000000000..54aa917d91 --- /dev/null +++ b/src/data/compiled_bios/5202.txt @@ -0,0 +1 @@ + John Preskill Richard P. Feynman Professor of Theoretical Physics Division of Physics, Mathematics, and Astronomy California Institute of Technology Curriculum Vitae , publication list , and biographical sketch Home Page for Physics 219 , a course on quantum computation. Home Page for Physics 12c , a course on statistical physics. Field Theory Lecture Notes . The Institute for Quantum Information and Matter . IQIM Blog: Quantum Frontiers . My posts . Follow me on Twitter . The Caltech Particle Theory Home Page . My Students : Where are they now? 60 th Birthday . Workshop on Quantum Information Science , April 23-25, 2009. Workshop Report . I am a theoretical physicist. Topics I have worked on in the past include the connections between particle physics and cosmology, properties of topological defects, nonperturbative phenomena in quantum field theory, and quantum aspects of the early universe and of black holes. For several years, my central interest has been in the theory of quantum information, quantum computing, and quantum error correction. Broadly speaking, quantum information science addresses how the principles of quantum physics can be harnessed to improve the acquisition, transmission, and processing of information. A quantum computer would be a new type of machine that, by exploiting the unusual quantum properties of information, could perform certain types of calculations far more efficiently than any foreseeable classical computer. I'm particularly interested in developing new schemes for protecting intricate quantum systems from decoherence and other sources of error. Here is a 6-minute animated introduction to the subject. For further information about quantum computation, and other useful links, see the Physics 219 home page . In 2000 I founded the Institute for Quantum Information (IQI), as part of the initiative in Information Technology Research launched by the National Science Foundation . In 2011 the IQI become a part of the Institute for Quantum Information and Matter (IQIM), an NSF Physics Frontiers Center with support from the Gordon and Betty Moore Foundation . Contact Information: Caltech 305-16 Pasadena, CA 91125 email: preskill@theory.caltech.edu Office: 206 Annenberg Phone: 626-395-6691 Papers and Talks: Some of my publications can be found on the electronic ArXiv . Another useful list of my publications can be found on google scholar . Here is a complete publication list , with links to most of the articles. Here are some recent talks I have given. Stability, topology, holography: The many facets of quantum error correction (APS March Meeting, 2016) Quantum information and spacetime (GR100, 2016) Our quantum future ( SQuInT , 2016) Quantum is different: Part 1 , Part 2 ( One Entangled Evening , 2016) Is spacetime a quantum error-correcting code? (KITP, 2015) Grand challenges at the interface of quantum information science, particle physics, and computing (HEPAP, 2015) Quantum information and black holes (MIT, 2014) Emergent Quantum Mechanics (Breakthrough Prize Symposium, 2014) Protected qubits for superconducting circuits (KITP, 2013) A one-hour public lecture on quantum information (Caltech, 2013) Introduction to Quantum Information , two one-hour lectures (2012) Quantum error correction and fault tolerance (2012) Quantum computing and the entanglement frontier (Solvay Conference on Physics, 2011) Below are a few papers that are not readily available elsewhere on the Internet. Some are transcripts of informal talks I have given. My commentary on the 2004 Nobel Prize in Physics 5 October 2004 Foreword to The Feynman Lectures on Gravitation (with Kip Thorne) -- May 1995 A colloquium on black holes and the information paradox. -- 21 November 1994 A colloquium on the non-abelian Aharonov -Bohm effect. -- 15 April 1993 Teaching: Information about Physics 219 , a course about quantum information and computation. Field Theory Lecture Notes , from Ph 230, Ph236, Ph 205 Information about Physics 230 , a course about elementary particle theory. Information about Physics 106 , a course about classical mechanics. Information about Physics 12b , a course about quantum physics. Information about Physics 12c , a course about statistical physics. Betting: I was once briefly almost famous for winning a bet . Alas, this only encouraged me to make more bets. Details are on the black hole bets page . Update (24 July 2004): My comments about Stephen Hawkings concession . Other Stuff: Ten Physics Problems for the Next Millennium (selected at Strings 2000) Millennium Prize Problems in Mathematics (from the Clay Mathematics Institute) Words of Wisdom: All I really need to know by David P. Stern . Physics Colloquium Poems: Erik Winfree , Craig Hogan , Hirosi Ooguri , John Schwarz, Quantum Cryptography, Spin is In , arXiv.org, Lene Hau , Lets Play CA! , On Quantum Compression , Leon Balents , Eddie Farhi , Jeff Kimble Singing One Entangled Evening with: Gia Mora (Caltech, 2016), Robin Selinger (APS March Meeting, 2016) A-hats Team Song (Caltech quantum optics softball team) My Dog (photo and poem) My New Dog (photo) CPI (poem) diff --git a/src/data/compiled_bios/5203.txt b/src/data/compiled_bios/5203.txt new file mode 100644 index 0000000000..719b74e8df --- /dev/null +++ b/src/data/compiled_bios/5203.txt @@ -0,0 +1 @@ + The Qian Lab California Institute of Technology Faculty Assistant Postdocs Graduate students Undergraduates Research staff Visitors Past members Faculty Lulu Qian Professor of Bioengineering Location: 105 Keck Phone: (626) 395-1228 Email: luluqian@caltech.edu CV Assistant Abriana Sustaita Administrative Assistant Location: 160 Broad Phone: (626)395-2257 Email: asustait@caltech.edu Postdocs Grigory Tikhomirov Senior Postdoctoral Scholar Bioengineering Location: 109 Keck Phone: (626) 395-1231 Email: dnano@caltech.edu Tianqi Song Postdoctoral Scholar Bioengineering Location: 107 Keck Phone: (626) 395-1232 Email: stq@caltech.edu Graduate students Kevin Cherry Bioengineering Location: 104B Keck Phone: (626) 395-1229 Email: kcherry@caltech.edu Robert Johnson Bioengineering Location: 104C Keck Phone: (626) 395-1230 Email: rfjohnso@caltech.edu Namita Sarraf Bioengineering Location: 104C Keck Phone: (626) 395-1230 Email: nsarraf@caltech.edu Undergraduates Gokul Gowri Bioengineering Location: 104B Keck Phone: (626) 395-1229 Email: ggowri@caltech.edu Past members Shilong Gao Rotation Student (Fall 2018) Chemistry, Caltech Wei Li Postdoctoral Scholar (2014-18) Agilent Chigozie Nri Graduate Student (2016-18) New Age Meats Philip Petersen Graduate Student (2014-18) MD/PhD, USC Lilian Porter Administrative Assistant (2013-18) Caltech Anu Thubagere Graduate Student (2014-17) Google X Ali Aghebat Rafat Visiting Student (2016-17) TUM Emily Elhacham Visiting Student (2015-16) Tel-Aviv University Rosie Zedan Lab Assistant (2014-16) Caltech Stella Wang Undergraduate Researcher (2015-16) Cell and Molecular Biology, UT Austin Diana Ardelean Undergraduate Researcher (2014-15) PwC Samuel Clamons Rotation Student (Fall 2014) Bioengineering, Caltech Zibo Chen Visiting Student (Summer 2013) Biological Physics, Structure and Design, UW Shayan Doroudi Research Assistant (Summer 2013) Computer Science, Carnegie Mellon University diff --git a/src/data/compiled_bios/5204.txt b/src/data/compiled_bios/5204.txt new file mode 100644 index 0000000000..e39c4c1696 --- /dev/null +++ b/src/data/compiled_bios/5204.txt @@ -0,0 +1 @@ + Omer Tamuz I am an assistant professor of economics and mathematics at Caltech. My research is in microeconomic theory , including game theory , learning and information , as well as in probability , ergodic theory and group theory . I'm also interested in machine learning and statistics . I am a member of the Caltech SISL and DOLCIT interdisciplinary research groups. Short Bio I got my B.Sc. in computer science and physics from Tel Aviv University, where I participated in the search for extrasolar planets with the brilliant Tsevi Mazeh . In 2013 I received my Ph.D. in mathematics from the Weizmann Institute, advised by Elchanan Mossel . From 2013 until 2015 I was a Schramm postdoctoral fellow at the MIT math department / Microsoft Research, where I previously was an intern of Adam Kalai . I have been at Caltech since 2015. Write to my gmail (omertamuz), or visit me in Baxter , room 213. Workshops This summer we hosted the Workshop on Information and Social Economics (WISE). This was the second instance of the workshop we had two years ago . This winter we held the The Southern California Symposium on Network Economics and Game Theory (NEGT) here at Caltech. Teaching In January 2019 I gave a public lecture at Caltech: The Long Run Behavior of Random Walks Ma144a: Probability CS 101: Projects in Machine Learning PS/Ec 172: Undergraduate Game Theory SS 201a (Graduate game theory): lecture notes set 1 , set 2 , set 3 , set 4 , set 5 , set 6 Lecture notes on the Furstenberg-Poisson boundary Undergraduate Seminar in Discrete Mathematics 18.304 (MIT, Spring 2015) Multivariate Calculus 18.022 (MIT, Fall 2015) Working papers Social learning equilibria Elchanan Mossel, Manuel Mueller-Frank, Allan Sly, Omer Tamuz, R&R at ECMA Rational groupthink Elchanan Mossel, Matan Harel, Philipp Strack, Omer Tamuz, R&R at QJE The Cost of Information Luciano Pomatto, Philipp Strack, Omer Tamuz Equitable voting rules Laurent Bartholdi, Wade Hann-Caruthers, Maya Josyula, Omer Tamuz, Leeat Yariv Stochastic dominance under independent noise Luciano Pomatto, Philipp Strack, Omer Tamuz Choquet-Deny groups and the infinite conjugacy class property Joshua Frisch, Yair Hartman, Omer Tamuz, Pooya Vahidi Ferdowsi Strong amenability and the infinite conjugacy class property Joshua Frisch, Omer Tamuz, Pooya Vahidi Ferdowsi Repeated coordination with private learning Pathikrit Basu, Kalyan Chatterjee, Tetsuya Hoshino, Omer Tamuz Network Cycles and Welfare Eduard Talams, Omer Tamuz Weak equivalence of stationary actions and the entropy realization problem Peter Burton, Martino Lupini, Omer Tamuz Publications Forthcoming Invariant random subgroups of semidirect products Ian Biringer, Lewis Bowen, Omer Tamuz, Ergodic Theory and Dynamical Systems Normal amenable subgroups of the automorphism group of the full shift Joshua Frisch, Tomer Schlank, Omer Tamuz, Ergodic Theory and Dynamical Systems Thompson's group F is not strongly amenable Yair Hartman, Kate Juscheno, Omer Tamuz, Pooya Vahidi Ferdowsi, Ergodic Theory and Dynamical Systems 2018 A deterministic protocol for sequential asymptotic learning Yu Cheng, Wade Hann-Caruthers, Omer Tamuz, IEEE International Symposium on Information Theory (ISIT) The speed of sequential asymptotic learning Wade Hann-Caruthers, Vadim V. Martynov, Omer Tamuz, Journal of Economic Theory Non-exploitable protocols for repeated cake cutting Omer Tamuz, Shai Vardi, Juba Ziani, AAAI Conference on Artificial Intelligence Quasi-regular sequences and optimal schedules for security games David Kempe, Leonard J. Schulman, Omer Tamuz, Symposium on Discrete Algorithms (SODA) 2017 Opinion exchange dynamics Elchanan Mossel, Omer Tamuz, Probability Surveys Symbolic dynamics on amenable groups: the entropy of generic shifts Joshua Frisch, Omer Tamuz, Ergodic Theory and Dynamical Systems Generic stationary measures and actions Lewis Bowen, Yair Hartman, Omer Tamuz, Transactions of the American Mathematical Society Unimodularity of invariant random subgroups Ian Biringer, Omer Tamuz, Transactions of the American Mathematical Society 2016 Stabilizer rigidity in irreducible group actions Yair Hartman, Omer Tamuz, Israel Journal of Mathematics Efficient bayesian learning in social networks with Gaussian estimators Elchanan Mossel, Noah Olsman, Omer Tamuz, The Allerton Conference on Communication, Control, and Computing Convergence, unanimity and disagreement in majority dynamics on unimodular graphs and random graphs Itai Benjamini, Siu-On Chan, Ryan O'Donnell, Omer Tamuz, Li-Yang Tan, Stochastic Processes and their Applications Graphical potential games Yakov Babichenko, Omer Tamuz, Journal of Economic Theory Transitive graphs uniquely determined by their local structure Joshua Frisch, Omer Tamuz, Proceedings of the American Mathematical Society Property (T) and the Furstenberg entropy of nonsingular actions Lewis Bowen, Yair Hartman, Omer Tamuz, Proceedings of the American Mathematical Society 2015 Strategic learning and the topology of social networks Elchanan Mossel, Allan Sly, Omer Tamuz, Econometrica Furstenberg entropy realizations for virtually free groups and lamplighter groups Yair Hartman, Omer Tamuz, Journal d'Analyse Mathmatique OMG UR funny! Computer-aided humor with an application to chat Miaomiao Wen, Nancy Baym, Omer Tamuz, Jaime Teevan, Susan Dumais, Adam Kalai, The International Conference on Computational Creativity (ICCC) This paper was covered by wired.co.uk , engadget.com and newscientist.com . 2014 Majority dynamics and the retention of information Omer Tamuz, Ran Tessler, Israel Journal of Mathematics Scenery reconstruction on finite abelian groups Hilary Finucane, Omer Tamuz, Yariv Yaari, Stochastic Processes and their Applications An Abramov formula for stationary spaces of discrete groups Yair Hartman, Yuri Lima, Omer Tamuz, Ergodic Theory and Dynamical Systems Asymptotic learning on bayesian social networks Elchanan Mossel, Allan Sly, Omer Tamuz, Probability Theory and Related Fields Majority dynamics and aggregation of information in social networks Elchanan Mossel, Joe Neeman, Omer Tamuz, Journal of Autonomous Agents and Multi-Agent Systems 2013 A machine learning framework for programming by example Aditya Menon, Omer Tamuz, Sumit Gulwani, Butler Lampson, Adam Kalai, The International Conference on Machine Learning (ICML) Making consensus tractable Elchanan Mossel, Omer Tamuz, ACM Transactions on Economics and Computation A lower bound on seller revenue in single buyer monopoly auctions Omer Tamuz, Operations Research Letters Testing booleanity and the uncertainty principle Tom Gur, Omer Tamuz, Chicago Journal of Theoretical Computer Science Tractable bayesian social learning on trees Yashodhan Kanoria, Omer Tamuz, IEEE Journal on Selected Areas in Communication and IEEE International Symposium on Information Theory (ISIT) 2012 Lower bounds on revenue of approximately optimal auctions Balasubramanian Sivan, Vasilis Syrgkanis, Omer Tamuz, The Workshop on Internet and Network Economics (WINE) Complete characterization of functions satisfying the conditions of Arrow's theorem Elchanan Mossel, Omer Tamuz, Social Choice and Welfare 2011 Social learning in a changing world Rafael Frongillo, Grant Schoenebeck, Omer Tamuz, The Workshop on Internet and Network Economics (WINE) Adaptively learning the crowd kernel Omer Tamuz, Ce Liu, Serge Belongie, Ohad Shamir, Adam Kalai, The International Conference on Machine Learning (ICML) 2010 Truthful fair division Elchanan Mossel, Omer Tamuz, The International Symposium on Algorithmic Game Theory (SAGT) Iterative maximum likelihood on networks Elchanan Mossel, Omer Tamuz, Advances in Applied Mathematics , and The Allerton Conference on Communication, Control, and Computing PROMO: A method for identifying modules in protein interaction networks Omer Tamuz, Yaron Singer, Roded Sharan, 2006, European Conference on Computational Biology (ECCB) Past work in Astronomy The CORALIE survey for southern extra-solar planets. XVI. Discovery of a planetary system around HD 147018 and of two long period and massive planets orbiting HD 171238 and HD 204313 Damien Sgransan, Stephane Udry, Michel Mayor et al, 2010, Astronomy & Astrophysics The CORALIE survey for southern extra-solar planets. XV. Discovery of two eccentric planets orbiting HD 4113 and HD 156846 Omer Tamuz, Damien Sgransan, Stephane Udry, Michel Mayor et al, 2008, Astronomy & Astrophysics A transiting planet among 23 new near-threshold candidates from the OGLE survey - OGLE-TR-182 Frdric Pont, Omer Tamuz, Andrzej Udalski et al, 2008, Astronomy & Astrophysics OGLE-TR-211 - a new transiting inflated hot Jupiter from the OGLE survey and ESO LP666 spectroscopic follow-up program Andrzej Udalski, Frdric Pont, Dominique Naef et al, 2008, Astronomy & Astrophysics The HARPS search for southern extra-solar planets. IX. mu Ara, a system with four planets Francesco Pepe, Alexandre Correia, Michel Mayor et al, 2007, Astronomy & Astrophysics Photometric follow-up of the transiting planet WASP-1b Avi Shporer, Omer Tamuz, Shay Zucker, Tsevi Mazeh, 2007, Monthly Notices of the Royal Astronomical Society Expected performance of the CoRoT planet search from light curve beauty contests Claire Moutou, Suzanne Aigrain, Jose Almenara et al, 2007, Astronomical Society of the Pacific Conference Series The Sys-Rem detrending algorithm: implementation and testing " Tsevi Mazeh, Omer Tamuz and Shay Zucker, 2007, Astronomical Society of the Pacific Conference Series Analysis of the eclipsing binaries in the LMC discovered by OGLE: period distribution and frequency of the shortperiod binaries " Tsevi Mazeh, Omer Tamuz and Pierre North, 2007, Proceedings of the International Astronomical Union Automated analysis of eclipsing binary lightcurves. I. EBAS --- a new Eclipsing Binary Automated Solver with EBOP Omer Tamuz, Tsevi Mazeh, Pierre North, 2006, Monthly Notices of the Royal Astronomical Society Automated analysis of eclipsing binary light curves. II. Statistical analysis of OGLE LMC eclipsing binaries Tsevi Mazeh, Omer Tamuz, Pierre North, 2006, Monthly Notices of the Royal Astronomical Society Correcting systematic effects in a large set of photometric lightcurves Omer Tamuz, Tsevi Mazeh, Shay Zucker, 2005, Monthly Notices of the Royal Astronomical Society diff --git a/src/data/compiled_bios/5205.txt b/src/data/compiled_bios/5205.txt new file mode 100644 index 0000000000..2247654eb1 --- /dev/null +++ b/src/data/compiled_bios/5205.txt @@ -0,0 +1 @@ + Adam Blank Lecturer, Department of Computing and Mathematical Sciences @ Caltech Office: Annenberg 115 E-mail: blank@caltech.edu Phone: (626) 395-1765 About Me My name is Adam Blank , and I am a Lecturer in the Department of Computing and Mathematical Sciences at Caltech . I am interested in the teaching and practice of Computer Science. My teaching drives everything that I do, and I love to try new techniques to help students learn in my courses. My research involves using technology , machine learning , human computation , and collaboration to improve the way that we teach computer scientists at the collegiate level. As of January 2018, here's my teaching statement and CV . I can be reached via e-mail at blank@caltech.edu. Meeting with Me Feel free to stop in whenever my door is open; I'm happy to meet with students whenever I have free time. When requesting a private meeting with me, please make sure to explain in as much detail as possible why you are requesting it. I'll do my best to accommodate as many students as I can, but it's important for me to remember why I'm meeting with you. If you are currently (or previously) in one of my courses, and you would like to discuss anything (the course, advice, life, well-being), please use this website . If you would like to meet with me to discuss working with me on one of my (or your!) projects, please use this website . If you would like to meet with me to request a recommendation, please read this website . Documents LaTeX Tutorial (and the accompanying homework template ). Many of the courses I've worked on have required that students submit their solutions using LaTeX; so, I wrote a short tutorial which also acts as a LaTeX reference. Advice for new TAs . Back when I was TAing, I found that many first-time TAs had no idea what to expect. I've been told this document has helped some people. It offers advice for new TAs who want an idea of what pitfalls to avoid. How to ask for help . I've found a really common issue for freshmen is that they get stuck for the very first time, and they aren't sure how to get help. This document outlines ways in which students can turn "getting stuck on homework" into a positive experience. Research I am currently working on semi-automating proof grading by making an online proof editor which can be used to collapse equivalence classes of proofs together. I am also working on a visualizer for introductory Java programming courses that demonstrates recursion and references effectively. You can install the prototype using the eclipse install link: http://www.countablethoughts.com/eclipse-viz/site.xml Office Hours Monday: 4:00pm 5:00pm Wednesday: 3:00pm 4:00pm Thursdaay: 5:00pm 7:00pm Courses (+) Fall 2018 (Caltech) CS 37: Algorithms in the Real World ( Instructor ) CS 9: Introduction to Computer Science Research ( Co-Instructor ) Spring 2018 (UW) CSE 312: Foundations of Computing II ( Instructor ) Winter 2018 (UW) CSE 373: Data Structures and Algorithms ( Mentor/Co-instructor ) CSE 390P: Problem Solving with Programming ( Instructor ) Autumn 2017 (UW) CSE 311: Foundations of Computing I ( Instructor ) diff --git a/src/data/compiled_bios/5206.txt b/src/data/compiled_bios/5206.txt new file mode 100644 index 0000000000..a87055d903 --- /dev/null +++ b/src/data/compiled_bios/5206.txt @@ -0,0 +1 @@ + Franca Hoffmann's Homepage Postgraduate Researcher Menu Skip to content Home Curriculum Vitae Research Publications Talks Academic Visits More Research Projects Conferences, Workshops, SummerSchools Collaborators Memberships Teaching Beyond mathematics Blog Contact me About I am a Von Karman Postdoctoral Instructor in Applied and Computational Mathematics at the Department of Computing and Mathematical Sciences , California Institute of Technology (Caltech) in Pasadena, USA. In July 2017, I completed my PhD at the Cambridge Centre for Analysis (CCA) Doctoral Training Centre, University of Cambridge and Imperial College London , under the supervision ofProf. Jos A. Carrillo and Prof. Clment Mouhot . A copy of my thesis can be downloaded here . Im honoured to have received the 2016 Imperial College Outstanding Student Achievement Award. Have a look here for a short video about some of my research to a non-mathematical audience, presented at the finals of the 3-Minute-Thesis Competition 2016, Imperial College London. For a one hour seminar about my PhD research, click here . For more details about my research, have a look here . Updates As part of International Education Week, Im giving a talk A mathematical journey through Africa, sharing experiences and insights from my participation in math and science outreach initiatives in Africa over the past few years. I have been invited as a guest speaker at Caltechs Women Mentoring Wome n Program. Caltech Campus, picture taken on my day of arrival at this beautiful place. Advertisements Leave a comment Cancel reply Fill in your details below or click an icon to log in: Email (required) (Address never made public) Name (required) Website You are commenting using your WordPress.com account. ( LogOut / Change ) You are commenting using your Google+ account. ( LogOut / Change ) You are commenting using your Twitter account. ( LogOut / Change ) You are commenting using your Facebook account. ( LogOut / Change ) Cancel Connecting to %s Notify me of new comments via email. Notify me of new posts via email. Blog at WordPress.com. Post to Cancel Privacy & Cookies: This site uses cookies. By continuing to use this website, you agree to their use. To find out more, including how to control cookies, see here: Cookie Policy Follow Franca Hoffmann's Homepage Customize Follow Sign up Log in Copy shortlink Report this content Manage subscriptions Collapse this bar diff --git a/src/data/compiled_bios/5207.txt b/src/data/compiled_bios/5207.txt new file mode 100644 index 0000000000..c26de483d2 --- /dev/null +++ b/src/data/compiled_bios/5207.txt @@ -0,0 +1 @@ + gerard j. holzmann gerard holzmann nimble research caltech cms, pasadena, ca cv focus software safety, software analysis, formal verification, metrics, logic model checking, distributed systems, multi-threaded software, static analysis, swarm testing, code review methods, requirements capture and analysis, algorithms, user interface design, graphic design, text processing, image processing, technology transfer. history before joining nimble research and jpl/caltech i worked in the cs research group at bell labs (1980-1981 and 1983-2003): a truly remarkable group that was given virtually complete freedom to pursue research goals, with no perceptible management oversight. i made a map of the 5th floor at stair 9 in building 2, the most desirable location for one's office at the time. the map lists the main occupants for each office over the years, with the person that occupied it the longest in red. from the 30-some people shown on this map, just a few remained to witness the final disappearance of center 1127 from the bell labs org charts in august 2005. most have found a safe haven elsewhere. software tools cobra a generic, fast and light-weight, static and dynamic analyzer. spin efficient verification system for distributed software systems (a logic model checker). swarm pre-processor for spin, to setup swarm verification jobs on large numbers of cpus. scrub -- a peer code review support tool, used for safety- and mission-critical code. not yet available outside nasa. uno simple static analysis tool for ansi C programs, based on ctree 0.14. [see also this overview] ncsl.tar.gz line counter for C and C++ that reports the raw nr of lines, nr of non-comment and non-blank lines and the nr of comments. gh_cpp.tar.gz implementation of the C preprocessor, with some additional checking capabilities (can explain macro-expansions, and can check a small subset of the misra-c 2004 rules). older things (and mostly no longer kept up to date): feaver model extraction system for ansi C source code: the first step towards the development of a general purpose tool for the verification of distributed systems applications directly from program source text. the system was used at bell labs between 1998 and 2000 to exhaustively verify the call-processing software of lucent's pathstar access server. the source code is available, see also the modex distribution page. ubet requirements capture and analysis toolset from around 1995, originally called msc/poga, productized and supported within lucent as the ubet tool, but later abandoned when lucent more or less broke up. sdlvalid , an early verifier for sdl. the tool was written in 1987/1988, and was used internally for about five years. it was never approved for public release. microtrace a small demo awk-script for fsm verification, written 1987. pico/popi digital darkroom software (written 1984). here is also a tar archive pico.tar with the pre-ansi c source code that includes the little on-the-fly compiler that ken thompson and rob pike wrote (both now at google). the compiler in gen.c (from 1984) generated machine code for a vax. this code will of course not compile or run on any modern machine. see also pico 's website. books the spin model checker - primer and reference manual . describes the current version of spin, 608 pgs. addison-wesley publ., isbn 0-321-22862-6, september 2003. design and validation of computer protocols , prentice hall, 1991. the spin model checker was originally written for inclusion in this book in 1989. the book contains the full source text (about 5,000 lines) for the original version of spin. the early history of data networks , ieee computer society press (now wiley publ), 1995. beyond photography -- the digital darkroom , prentice hall, 1988. first book to coin the term digital darkroom ; it predicted that the days of conventional photograph would be numbered, which has now come to fruition, though it took a little longer than we thought at the time. the book, with some background information, is accessible online via the link above. papers publications , with pdf for most papers abstracts for selected papers little movies pixelface , 1988, a five minute demo of pico/popi (mpeg 40mb). a portion of the video was shown on cnn science & technology report in 1989: see clip . walkman , 1984, a 40 second try to make a little movie, with rob pike, don mitchell, and lillian schwartz (mpeg format, 7 mb). a frame from the movie was used for the cover of ieee spectrum, june 1984. logos the original inferno logo 1996 cs research center logo (bell labs center 1127) 1997 spin logo 2000 nasa/jpl lars center logo 2004 nfm2011 conference logo 2011 conference posters 3rd nasa formal methods symposium, pasadena, ca, april 2011 18th spin workshop, cliff lodge, snow bird, utah, july 2011 2nd int. conf. on runtime verification, san francisco, ca, september 2011 cds cd, chess endgames, vols 1-4, (issued by ken thompson, 1991) (chess-piece and a small part of leonardo da vinci's creation.) cd, plan-9 from bell labs, 1st edition, 1992. (three actors from plan-9, the movie by ed wood) cds and cover for floppy disks, plan-9, 2nd edition, 1995 covers at&t technical journal, march/april 1987, vol 66, issue 2. (cover with a transformed pico/popi image of peter weinberger's portrait.) at&t bell laboratories technical journal, october 1984, vol 63, no. 8, part 2. special issue on unix (cover with computer generated graphics.) manual covers (2 volumes), plan-9, 2nd edition, pub. harcourt brace & company, orlando, fl., 1995. (illustrations from louis figuier, les merveilles de la science, paris 1867) photos portraits , a small selection of the portraits i've taken in the last 25 years or so, mostly with a large studio view camera. masks and statues from the collection of norbert elias, taken between 1983 and 1987 in amsterdam. updated april 2014. pictures of tessa , the start of a well-documented life... press Goodbye Bugs? , interviewed by Amy Castor for Bitcoin Magazine, Nov 22, 2017. 10 Dutch Superheros in IT , Nov. 2016 (in Dutch). ICT 2013 Vol. 18, 2013 (in Dutch). interview for The Setup... Gigaom , code review and analysis process followed for the Mars Science Laboratory Mission, 2012 Caltech Engenious , interview on Safety Critical Software, 2011 nasa tech briefs , who's who at nasa, 1 september 2009, interview with bruce bennett. software development times, 1 may 2009 , interview with jeff feinman. cacm, july 2008 , in search of dependable design , vol. 51, no. 7, pp. 14-16. a couple of quotes from an interview with leah hoffman. story in ieee computer, jan. 2004 interview with ftp online, oct. 2003 interview with objectmonkey.com, oct. 2003 MIT technology review, february 2003, brief mention in the category of software assurance, in article on ``10 emerging technologies that will change the world.'' interview with software development magazine (SD magazine), on software verification, september 2002, p.15. NJN new nersey network news, an interview on software quality aired in the science and technology segment on march 6, 2002. two dutch journals, technisch weekblad , no. 17, and embedded systems , published interviews (in dutch). infoworld, october 26, 2001 short feature on code debugging. CIO magazine , august 1, 2001. brief mention of software verification project. new scientist, 18 november, 2000 future of software column published in FTP magazine in 2000, fawcette publ. a series of columns on smart machines, published in Inc. technology other ieee harlan d. mills award , may 2015 nasa exceptional engineering achievement medal, october 2012 acm fellow, june 2012 caltech cs, faculty associate, may 2007 jpl fellow, may 2007 honorary doctorate , twente university, the netherlands, december 2006 acm kanellakis theory and practice award , may 2006 (with vardi, wolper, and kurshan), pdf us national academy of engineering , elected member 2005. cs peer committee 2008-2011 thomas alva edison patent award (with ken thompson and phil winterbottom), july 2003 acm sigsoft outstanding research award, 2002 acm system software award , 2001 ( press release march 2002) page last modified 15 May 2017 diff --git a/src/data/compiled_bios/5208.txt b/src/data/compiled_bios/5208.txt new file mode 100644 index 0000000000..11781de0d8 --- /dev/null +++ b/src/data/compiled_bios/5208.txt @@ -0,0 +1 @@ +Processing math: 92% Jeffery Ka-Chun Lam Postdoctoral Instructor in Computing + Mathematical Sciences The California Institute of Technology Email: kclam@caltech.edu About Me This is Jeffery, currently a Postdoctoral Instructor in the Department of Computing + Mathematical Sciences in The California Institute of Technology . I am supervised under Professor Thomas Hou and my research interests are time-frequency analysis, computational geometry, computer vision and machine learning. During 2011-2016, I spent 5 exciting years for my M.Phil. and Ph.D. study under Professor Ronald Lui 's group in the Department of Mathematics in The Chinese University of Hong Kong . The topic of my Ph.D. thesis is "Computational Techniques for Quasi-conformal Mappings with Applications to Medical Imaging". Right after obtaining my Ph.D. degree, I am deeply honored to received the von Karman Postdoctoral instructorship and continue my academic career in Caltech. Curriculum Vitae Projects SUBMITTED/PREPRINT Thomas Y. Hou, D. Huang, K.C. Lam, P. Zhang, An adaptive fast solver for a general class of positive definite matrices via energy decomposition . Submitted . Abstract Cite Arxiv Abstract In this paper, we propose an adaptive fast solver for a general class of symmetric positive definite (SPD) matrices which include the well-known graph Laplacian. We achieve this by developing an adaptive operator compression scheme and a multiresolution matrix factorization algorithm which achieve nearly optimal performance on both complexity and well-posedness. To develop our adaptive operator compression and multiresolution matrix factorization methods, we first introduce a novel notion of energy decomposition for SPD matrix A using the representation of energy elements. The interaction between these energy elements depicts the underlying topological structure of the operator. This concept of decomposition naturally reflects the hidden geometric structure of the operator which inherits the localities of the structure. By utilizing the intrinsic geometric information under this Energy framework, we propose a systematic operator compression scheme for the inverse operator A 1 . In particular, with an appropriate partition of the underlying geometric structure, we can construct localized basis by using the concept of interior and closed energy. Meanwhile, two important localized quantities are introduced, namely the error factor and the condition factor. Our error analysis results show that these two factors will be the guidelines for finding the appropriate partition of the basis functions such that prescribed compression error and acceptable condition number can be achieved. By virtue of this insight, we propose the Patch Pairing algorithm to realize our energy partition framework for operator compression with controllable compression error and condition number. BibTeX Citation Copy @article{hou2017fast, title={An adaptive fast solver for a general class of positive definite matrices via energy decomposition}, author={Hou, Thomas Y and Huang, D and Lam, KC and Zhang, P}, journal={arXiv preprint arXiv:1707.08277v2}, year={2017} } PUBLICATIONS K. C. Lam, T. C. Ng and L. M. Lui, Multi-scale representation of deformations via Beltrami coefficients . SIAM Journal on Multiscale Modeling and Simulation , 15(2):864--891, 2017. Abstract URL Paper Cite Abstract Analyzing the deformation pattern of an object is crucial in various fields, such as in computer visions and medical imaging. A deformation can be considered as a combination of local and global deformations at different locations. To fully understand and analyze the deformation pattern, extracting deformation components of various scales and locations is necessary. We propose an algorithm for the multi-scale decomposition of a bijective deformation using quasi-conformal theories. A deformation of an object can be described as a orientation-preserving homeomorphism of a two dimensional domain. The mapping is then represented by its associated Beltrami coefficient (BC), which measures the local geometric (conformality) distortion of the deformation. The BC is a complex-valued function defined on the source domain. By applying the wavelet transform on the BC, the BC can be decomposed into different components of different frequencies compactly supported in different sub-domains. Quasi-conformal mappings associated to different components of the BC can be reconstructed by solving the Beltrami's equation. A multi-scale decomposition of the deformation can then be constructed. To validate our proposed algorithm, we test it on synthetic examples as well as real medical data. Experimental results show the efficacy of our proposed model to decompose deformations at multiple scales and locations. BibTeX Citation Copy @article{lam2017multiscale, title={Multiscale Representation of Deformation via Beltrami Coefficients}, author={Lam, Ka Chun and Ng, Tsz Ching and Lui, Lok Ming}, journal={Multiscale Modeling \& Simulation}, volume={15}, number={2}, pages={864--891}, year={2017}, publisher={SIAM} } K. C. Lam and L. M. Lui, Optimized conformal parameterization with user-defined area distortions . Communications in Mathematical Sciences , 15(7):2027--2054, 2017. Abstract URL Paper Cite Abstract Parameterization, a process of mapping a complicated domain onto a simple canonical domain, is crucial in different areas such as computer graphics, medical imaging and scientific computing. Conformal parameterization has been widely used since it preserves the local geometry well. However, a major drawback is the area distortion introduced by the conformal parameterization, causing inconvenience in many applications such as texture mapping in computer graphics or visualization in medical imaging. This work proposes a remedy to construct a parameterization that balances between conformality and area distortions. We present a variational algorithm to compute the optimized quasiconformal parameterization with controllable area distortions. The distribution of the area distortion can be prescribed by users according to the application. The main strategy is to minimize a combined energy functional consisting of an area mismatching term and a regularization term involving the Beltrami coefficient of the map. The Beltrami coefficient controls the conformality of the parameterization. Landmark constraints can be incorporated into the model to obtain landmark-aligned parameterization. Experiments have been carried out on both synthetic and real data. Results demonstrate the efficacy of the proposed algorithm to compute the optimized parameterization with controllable area distortion while preserving the local geometry as good as possible. BibTeX Citation Copy @article{lam2017optimized, title={Optimized conformal parameterization with user-defined area distortions}, author={Lam, Ka Chun and Lui, Lok Ming}, journal={Communications in Mathematical Sciences}, volume={15}, number={7}, pages={2027--2054}, year={2017}, publisher={International Press} } Y. T. Lee, K. C. Lam and L. M. Lui, Landmark matching transformation with large deformation via n -dimensional Quasi-conformal maps . Journal of Scientific Computing , pages 1--29, 2015. Abstract URL Paper Cite Abstract We propose a new method to obtain landmark-matching transformations between n -dimensional Euclidean spaces with large deformations. Given a set of feature correspondences, our algorithm searches for an optimal folding-free mapping that satisfies the prescribed landmark constraints. The standard conformality distortion defined for mappings between 2-dimensional spaces is first generalized to the n -dimensional conformality distortion K ( f ) for a mapping f between n -dimensional Euclidean spaces ( n 3 ) . We then propose a variational model involving K ( f ) to tackle the landmark-matching problem in higher dimensional spaces. The generalized conformality term K ( f ) enforces the bijectivity of the optimized mapping and minimizes its local geometric distortions even with large deformations. Another challenge is the high computational cost of the proposed model. To tackle this, we have also proposed a numerical method to solve the optimization problem more efficiently. Alternating direction method with multiplier is applied to split the optimization problem into two subproblems. Preconditioned conjugate gradient method with multi-grid preconditioner is applied to solve one of the sub-problems, while a fixed-point iteration is proposed to solve another subproblem. Experiments have been carried out on both synthetic examples and lung CT images to compute the diffeomorphic landmark-matching transformation with different landmark constraints. Results show the efficacy of our proposed model to obtain a folding-free landmark-matching transformation between n-dimensional spaces with large deformations. BibTeX Citation Copy @article{lee2016landmark, title={Landmark-matching Transformation with Large Deformation via n-dimensional Quasi-conformal Maps}, author={Lee, Yin Tat and Lam, Ka Chun and Lui, Lok Ming}, journal={Journal of Scientific Computing}, volume={67}, number={3}, pages={926--954}, year={2016}, publisher={Springer} } K. C. Lam and L. M. Lui, Quasi-conformal hybrid multi-modality image registration and its application to medical image fusion . International Symposium on Visual Computing. Springer International Publishing , pages 809--818, 2015. Abstract URL Paper Cite Abstract Fusion of images with same or different modalities has been conquering medical imaging field more rapidly due to the presence of highly accessible patients information in recent years. For example, cross platform non-rigid registration of CT with MRI images has found a significant role in different clinical application. In some instances labelling of anatomical features by medical experts are also involved to further improve the accuracy and authenticity of the registration. Being motivated by these, we propose a new algorithm to compute diffeomorphic hybrid multi-modality registration with large deformations. Our iterative scheme consists of mainly two steps. First, we obtain the optimal Beltrami coefficient corresponding to the diffeomorphic mapping that exactly superimposes the feature points. The second step detects the intensity difference in the framework of mutual information. A non-rigid deformation which minimizes the intensity difference is then obtained. Experiments have been carried out on both synthetic and real data. Results demonstrate the stability and efficacy of the proposed algorithm to obtain diffeomorphic image registration. BibTeX Citation Copy @inproceedings{lam2015quasi, title={Quasi-Conformal Hybrid Multi-modality Image Registration and its Application to Medical Image Fusion}, author={Lam, Ka Chun and Lui, Lok Ming}, booktitle={International Symposium on Visual Computing}, pages={809--818}, year={2015}, organization={Springer} } K. C. Lam and L. M. Lui, Landmark constrained genus-one surface Teichmller map applied to surface registraton in medical imaging . Medical Image Analysis , 25(1):45--55, 2015. Abstract URL Paper Cite Abstract We address the registration problem of genus-one surfaces (such as vertebrae bones) with prescribed landmark constraints. The high-genus topology of the surfaces makes it challenging to obtain a unique and bijective surface mapping that matches landmarks consistently. This work proposes to tackle this registration problem using a special class of quasi-conformal maps called Teichmller maps (T-Maps). A landmark constrained T-Map is the unique mapping between genus-1 surfaces that minimizes the maximal conformality distortion while matching the prescribed feature landmarks. Existence and uniqueness of the landmark constrained T-Map are theoretically guaranteed. This work presents an iterative algorithm to compute the T-Map. The main idea is to represent the set of diffeomorphism using the Beltrami coefficients (BC). The BC is iteratively adjusted to an optimal one, which corresponds to our desired T-Map that matches the prescribed landmarks and satisfies the periodic boundary condition on the universal covering space. Numerical experiments demonstrate the effectiveness of our proposed algorithm. The method has also been applied to register vertebrae bones with prescribed landmark points and curves, which gives accurate surface registrations. BibTeX Citation Copy @article{lam2015landmark, title={Landmark constrained genus-one surface Teichmller map applied to surface registration in medical imaging}, author={Lam, Ka Chun and Gu, Xianfeng and Lui, Lok Ming}, journal={Medical image analysis}, volume={25}, number={1}, pages={45--55}, year={2015}, publisher={Elsevier} } K. C. Lam, X. Gu and L. M. Lui, Genus-one surface registration via Teichmller Extremal mapping . International Conference on MICCAI , 3:25--32, 2014. (Runners Up for Student Best Paper Awards) Abstract URL Paper Cite Abstract This paper presents a novel algorithm to obtain landmark-based genus-1 surface registration via a special class of quasi-conformal maps called the Teichmller maps. Registering shapes with important features is an important process in medical imaging. However, it is challenging to obtain a unique and bijective genus-1 surface matching that satisfies the prescribed landmark constraints. In addition, as suggested by [11], conformal transformation provides the most natural way to describe the deformation or growth of anatomical structures. This motivates us to look for the unique mapping between genus-1 surfaces that matches the features while minimizing the maximal conformality distortion. Existence and uniqueness of such optimal diffeomorphism is theoretically guaranteed and is called the Teichmller extremal mapping. In this work, we propose an iterative algorithm, called the Quasi-conformal (QC) iteration, to find the Teichmller extremal mapping between the covering spaces of genus-1 surfaces. By representing the set of diffeomorphisms using Beltrami coefficients (BCs), we look for an optimal BC which corresponds to our desired diffeomorphism that matches prescribed features and satisfies the periodic boundary condition on the covering space. Numerical experiments show that our proposed algorithm is efficient and stable for registering genus-1 surfaces even with large amount of landmarks. We have also applied the algorithm on registering vertebral bones with prescribed feature curves, which demonstrates the usefulness of the proposed algorithm. BibTeX Citation Copy @inproceedings{lam2014genus, title={Genus-one surface registration via teichm{\"u}ller extremal mapping}, author={Lam, Ka Chun and Gu, Xianfeng and Lui, Lok Ming}, booktitle={International Conference on Medical Image Computing and Computer-Assisted Intervention}, pages={25--32}, year={2014}, organization={Springer} } K. C. Lam, X. Gu, S. T. Yau and L. M. Lui, Teichmller mapping (T-map) and its applications to landmark matching registrations . SIAM Journal on Imaging Sciences , 7(1):391--426, 2014. Abstract URL Paper Cite Abstract Registration, which aims to find an optimal 1-1 correspondence between shapes, is an important process in different research areas. Landmark-based surface registration has been widely studied to obtain a mapping between shapes that matches important features. Obtaining a unique and bijective surface registration that matches features consistently is generally challenging, especially when a large number of landmark constraints are enforced. This motivates us to search for a unique landmark matching surface diffeomorphism, which minimizes the local geometric distortion. For this purpose, we propose a special class of diffeomorphisms called the Teichmller mappings (T-Maps). Under suitable conditions on the landmark constraints, a unique T-Map between two surfaces can be obtained, which minimizes the maximal conformality distortion. The conformality distortion measures how far the mapping deviates from a conformal mapping, and hence it measures the local geometric distortion. In this paper, we propose an efficient iterative algorithm, called the quasi-conformal (QC) iteration, to compute the T-Map. The basic idea is to represent the set of diffeomorphisms using Beltrami coefficients (BCs) and look for an optimal BC associated to the desired T-Map. The associated diffeomorphism can be efficiently reconstructed from the optimal BC using the linear Beltrami solver (LBS). Using BCs to represent diffeomorphisms guarantees the diffeomorphic property of the registration, even with very large deformation. Using our proposed method, the T-Map can be accurately and efficiently computed. The obtained registration is guaranteed to be bijective. The proposed algorithm can also be extended to compute T-Map with soft landmark constraints. We applied the proposed algorithm to real applications, such as brain landmark matching registration, constrained texture mapping, and human face registration. Experimental results shows that our method is both effective and efficient in computing a nonoverlap landmark matching registration with the least amount of conformality distortion. BibTeX Citation Copy @article{lui2014teichmuller, title={Teichmuller mapping (t-map) and its applications to landmark matching registration}, author={Lui, Lok Ming and Lam, Ka Chun and Yau, Shing-Tung and Gu, Xianfeng}, journal={SIAM Journal on Imaging Sciences}, volume={7}, number={1}, pages={391--426}, year={2014}, publisher={SIAM} } K. C. Lam, C. F. Wen and L. M. Lui, Conformal-based surface morphing and multi-scale representation . Axioms , 3(2):222--243, 2014. Abstract URL Paper Cite Abstract This paper presents two algorithms, based on conformal geometry, for the multi-scale representations of geometric shapes and surface morphing. A multi-scale surface representation aims to describe a 3D shape at different levels of geometric detail, which allows analyzing or editing surfaces at the global or local scales effectively. Surface morphing refers to the process of interpolating between two geometric shapes, which has been widely applied to estimate or analyze deformations in computer graphics, computer vision and medical imaging. In this work, we propose two geometric models for surface morphing and multi-scale representation for 3D surfaces. The basic idea is to represent a 3D surface by its mean curvature function, H , and conformal factor function , which uniquely determine the geometry of the surface according to Riemann surface theory. Once we have the ( , H ) parameterization of the surface, post-processing of the surface can be done directly on the conformal parameter domain. In particular, the problem of multi-scale representations of shapes can be reduced to the signal filtering on the and H parameters. On the other hand, the surface morphing problem can be transformed to an interpolation process of two sets of ( , H ) parameters. We test the proposed algorithms on 3D human face data and MRI-derived brain surfaces. Experimental results show that our proposed methods can effectively obtain multi-scale surface representations and give natural surface morphing results. BibTeX Citation Copy @article{lam2014conformal, title={Conformal-based surface morphing and multi-scale representation}, author={Lam, Ka Chun and Wen, Chengfeng and Lui, Lok Ming}, journal={Axioms}, volume={3}, number={2}, pages={222--243}, year={2014}, publisher={Multidisciplinary Digital Publishing Institute} } P. T. Choi, K. C. Lam and L. M. Lui, FLASH: Fast landmark aligned spherical harmonic parameterization for genus-0 closed brain surfaces . SIAM Journal on Imaging Sciences , 8(1):67--94, 2014. Abstract URL Paper Cite Abstract Surface registration between cortical surfaces is crucial in medical imaging for performing systematic comparisons between brains. Landmark-matching registration that matches anatomical features, called the sulcal landmarks, is often required to obtain a meaningful 1-1 correspondence between brain surfaces. This is commonly done by parameterizing the surface onto a simple parameter domain, such as the unit sphere, in which the sulcal landmarks are consistently aligned. Landmark-matching surface registration can then be obtained from the landmark aligned parameterizations. For genus-0 closed brain surfaces, the optimized spherical harmonic parameterization, which aligns landmarks to consistent locations on the sphere, has been widely used. This approach is limited by the loss of bijectivity under large deformations and the slow computation. In this paper, we propose FLASH, a fast algorithm to compute the optimized spherical harmonic parameterization with consistent landmark alignment. This is achieved by formulating the optimization problem to C and thereby linearizing the problem. Errors introduced near the pole are corrected using quasi-conformal theories. Also, by adjusting the Beltrami differential of the mapping, a diffeomorphic (1-1, onto) spherical parameterization can be effectively obtained. The proposed algorithm has been tested on 38 human brain surfaces. Experimental results demonstrate that the computation of the landmark aligned spherical harmonic parameterization is significantly accelerated using the proposed algorithm. BibTeX Citation Copy @article{choi2015flash, title={FLASH: Fast landmark aligned spherical harmonic parameterization for genus-0 closed brain surfaces}, author={Choi, Pui Tung and Lam, Ka Chun and Lui, Lok Ming}, journal={SIAM Journal on Imaging Sciences}, volume={8}, number={1}, pages={67--94}, year={2015}, publisher={SIAM} } K. C. Lam and L. M. Lui, Landmark and intensity based registration with large deformations via Quasi-conformal maps . SIAM Journal on Imaging Sciences , 7(4):2364--2392, 2014. Abstract URL Paper Cite Abstract Registration, which aims to find an optimal one-to-one correspondence between different data, is an important problem in various fields. This problem is especially challenging when large deformations occur. In this paper, we present a novel algorithm to obtain diffeomorphic image or surface registrations with large deformations via quasi-conformal maps. The basic idea is to minimize an energy functional involving a Beltrami coefficient term, which measures the distortion of the quasi-conformal map. The Beltrami coefficient effectively controls the bijectivity and smoothness of the registration, even with very large deformations. Using the proposed algorithm, landmark-based registration between images or surfaces can be effectively computed. The obtained registration is guaranteed to be diffeomorphic (1-1 and onto), even with a large deformation or large number of landmark constraints. The proposed algorithm can also be combined with matching intensity (such as image intensity or surface curvature) to improve the accuracy of the registration. Experiments have been carried out on both synthetic and real data. Results demonstrate the efficacy of the proposed algorithm to obtain diffeomorphic registration between images or surfaces. BibTeX Citation Copy @article{lam2014landmark, title={Landmark-and intensity-based registration with large deformations via quasi-conformal maps}, author={Lam, Ka Chun and Lui, Lok Ming}, journal={SIAM Journal on Imaging Sciences}, volume={7}, number={4}, pages={2364--2392}, year={2014}, publisher={SIAM} } L. M. Lui, K. C. Lam, T. W. Wong and X. Gu, Texture Map and Video Compression Using Beltrami Representation . SIAM Journal on Imaging Sciences , 6(4):1880--1902, 2013. Abstract URL Paper Cite Abstract Surface parameterizations and registrations are important in computer graphics and imaging, where 1-1 correspondences between meshes are computed. In practice, surface maps are usually represented and stored as three-dimensional coordinates each vertex is mapped to, which often requires lots of memory. This causes inconvenience in data transmission and data storage. To tackle this problem, we propose an effective algorithm for compressing surface homeomorphisms using Fourier approximation of the Beltrami representation. The Beltrami representation is a complex-valued function defined on triangular faces of the surface mesh with supreme norm strictly less than 1. Under suitable normalization, there is a 1-1 correspondence between the set of surface homeomorphisms and the set of Beltrami representations. Hence, every bijective surface map is associated with a unique Beltrami representation. Conversely, given a Beltrami representation, the corresponding bijective surface map can be exactly reconstructed using the linear Beltrami solver introduced in this paper. Using the Beltrami representation, the surface homeomorphism can be easily compressed by Fourier approximation, without distorting the bijectivity of the map. The storage requirement can be effectively reduced, which is useful for many practical problems in computer graphics and imaging. In this paper, we propose applying the algorithm to texture map compression and video compression. With our proposed algorithm, the storage requirement for the texture properties of a textured surface can be significantly reduced. Our algorithm can further be applied to compressing motion vector fields for video compression, which effectively improves the compression ratio. BibTeX Citation Copy @article{lui2013texture, title={Texture map and video compression using Beltrami representation}, author={Lui, Lok Ming and Lam, Ka Chun and Wong, Tsz Wai and Gu, Xianfeng}, journal={SIAM Journal on Imaging Sciences}, volume={6}, number={4}, pages={1880--1902}, year={2013}, publisher={SIAM} } THESIS K.C. Lam, Computational Techniques for Quasi-conformal Mappings with Applications to Medical Imaging . Mathematics, CUHK, 2016. (Advisor: Professor Ronald Lok Ming Lui) Abstract Thesis Abstract Quasi-conformal mapping, which was introduced by Grotzsch (1928) and named by Ahlfors (1935), is a homeomorphism between plane domains which can be viewed as a generalization of conformal mapping. Intuitively, a quasi-conformal mapping takes small circles to small ellipses of bounded eccentricity. Mathematically, a function or mapping f : , where and are two domains in C , is quasi-conformal if it satisfies the Beltrami equation f z = ( z ) f z for some complex-valued Lebesgue measurable function satisfying . Over the last 90 years, numerous important theories of quasi-conformal mappings have been discovered. Yet, computation of these mappings had not been developed or utilized in real applications. We therefore propose to explore the numerical techniques for quasi-conformal mappings with the applications to medical imaging. This thesis presents various computational methods for quasi-conformal mappings. In particular, variational approaches for registering/parameterizing images/surfaces with prescribed feature correspondences are proposed. We consider the set of all quasi-conformal mappings to be the search space for matching predefined features. The intrinsic idea is to represent the set of all landmark aligned orientation preserving diffeomorphisms by smooth Beltrami coefficients. Variational models are then built upon this representation and the registration/parameterization problem is transformed to an optimization problem with respect to the Beltrami coefficient. The outline of this thesis is as follows: In the Part I, we first introduce the QCLR and QCHR algorithms for general medical image registration. Secondly, we present the QC-iteration to register genus-one surfaces within the space of all Teichmller maps with applications to vertebral bones shape analysis. Thirdly, we propose a generalization of n -dimensional conformality distortion for registering volumetric medical images. In Part II, an algorithm, called FLASH, for genus-zero cortical surface registration is reported. Following that, we introduce an algorithm to obtained an optimized conformal parameterization with controllable area distortion. Lastly, we present a multi-scale representation of diffeomorphic deformation for morphometry. The thesis concludes with a discussion on the advantages of applying quasi-conformal theory to tackle registration and parameterization problems originated from medical image analysis. Get in touch 2016 JEFFERY KA-CHUN LAM ALL RIGHTS RESERVED diff --git a/src/data/compiled_bios/5209.txt b/src/data/compiled_bios/5209.txt new file mode 100644 index 0000000000..378a88f26c --- /dev/null +++ b/src/data/compiled_bios/5209.txt @@ -0,0 +1 @@ + Donnie Pinkston - Caltech Computer Science Welcome to my Caltech CMS homepage. I am a lecturer, teaching the following courses: CS11 - Programming Language Shop CS24 - Introduction to Computing Systems CS121 - Introduction to Relational Databases CS122 - Relational Database Implementation CS123 - Projects in Database Systems CS124 - Operating Systems I also wrote and administer the csman homework submission system that we use for CS1, CS4, and CS11. (I wrote it in Django , which is my favorite web framework for when I have to throw together complex websites all by myself.) I work with Mike Vanier , the other lecturer in the CS department. He has a lot of interests, just like me. NanoDB Since 2005 I have been working on NanoDB, an instructional relational database implementation written in Java, which we use in CS122 and CS123. NanoDB uses SQL for DDL and DML operations. It has basic support for B + trees, transactions, and a few other nifty features. It has continued to grow in complexity as students have made contributions to the codebase over the years. If you are interested in considering NanoDB for use in a database course or project, please let me know. Course Materials Students frequently request access to the materials from the various courses I teach, so here they are: CS11 Intro C++ Track CS11 Intro Java Track CS24 Lecture Slides and Recordings CS121 Lecture Slides and Recordings CS122 Lecture Slides and Recordings CS124 Lecture Slides and Recordings Contact E-Mail: donnie@cms.caltech.edu Real Mail: Donnie Pinkston California Institute of Technology Mail code 305-16 Pasadena, CA 91125 diff --git a/src/data/compiled_bios/521.txt b/src/data/compiled_bios/521.txt new file mode 100644 index 0000000000..5ca9d88f44 --- /dev/null +++ b/src/data/compiled_bios/521.txt @@ -0,0 +1 @@ +Gregory Shakhnarovich Associate ProfessorToyota Technological Institute Associate Professor Part-TimeDepartment of Computer Science Email: greg@ttic.edu Phone: (773) 834-2572 Office: Toyota Technological Institute Website: http://ttic.uchicago.edu/~gregory/ Research: computational vision, machine learning diff --git a/src/data/compiled_bios/5210.txt b/src/data/compiled_bios/5210.txt new file mode 100644 index 0000000000..a18174a228 --- /dev/null +++ b/src/data/compiled_bios/5210.txt @@ -0,0 +1 @@ + Skip to main content Division of Engineering & Applied Science Positions Available search search options CMS Caltech Department of Computing + Mathematical Sciences About Overview Mission History + Facts Facilities Life in the Department Location + Directions Positions Available Resources People Faculty Administration Visitors Postdoctoral Scholars Graduate Students Directory Academics Overview Graduate Programs Undergraduate Program Course Descriptions Course Schedule Honors and Awards Research Overview Centers + Initiatives Research Videos Meeting of the Minds Seminars & Events News Outreach Public Outreach Local Outreach Partners Program Contact Contact Us Location + Directions Directory Get Involved Women in CMS Faculty Claire Ralph Lecturer in Computing and Mathematical Sciences; Outreach Director Degrees and Appointments B.S., University of New Mexico, Albuquerque, 2007; M.S., Cornell University, 2011. Caltech, 2018-19. Is this your profile? People Faculty Visitors Postdoctoral Scholars Graduate Students Directory Learn More Research Academics Visiting Contact Get Involved For Students How to Apply Course Catalog Course Schedule Life in the Department For Our Department Resources Positions Available Communications Office California Institute of Technology 1200 E California Blvd. MC 305-16, Pasadena, CA 91125 2019 Caltech . All rights reserved . Privacy Notice . Feedback? back to top diff --git a/src/data/compiled_bios/5211.txt b/src/data/compiled_bios/5211.txt new file mode 100644 index 0000000000..59c0f1e941 --- /dev/null +++ b/src/data/compiled_bios/5211.txt @@ -0,0 +1 @@ + Mike Vanier's home page I'm Mike Vanier and this is my home page. I'm a computer scientist, computational neuroscientist and a hacker . I work in the computer science department at Caltech, where I am both a Lecturer in Computer Science and an "Instructor". In my capacity as lecturer, I teach the following courses: CS 1 (Introduction to Computer Programming) CS 4 (Fundamentals of Computer Programming) CS 11 (Computer Language Shop) CS 115 (Functional Programming) In my capacity as instructor, I help Caltechers (undergrads, grad students, and others in the Caltech community) with their computer-related course work, research projects, and personal projects. Choose from the following action-packed list: Science Hacking My blog on programming-related topics. If you want me to write you a letter of recommendation, please read this page first. Contact info: Email: mvanier@cms.caltech.edu Snail-mail: California Institute of Technology Mail code 305-16 Pasadena, CA 91125 Phone: (626) 395-3127 Mike Vanier ( mvanier@cs.caltech.edu ) Last updated April 11, 2017 diff --git a/src/data/compiled_bios/5212.txt b/src/data/compiled_bios/5212.txt new file mode 100644 index 0000000000..5b5da40300 --- /dev/null +++ b/src/data/compiled_bios/5212.txt @@ -0,0 +1 @@ + CV/Bio Research Publications Talks Teaching Consulting News: 07/10/2018: Congratulations to my SURF (summer undergraduate research fellow) student, Leyu (Natalie) Yao, who was named a istein and Rita A. Skjellum SURF Fellow ! Natalie works on reducing the damage caused by cascading failures in power grids. 06/08/2018: Honored and very excited to be selected as a recipient of an Associated Students of the California Institute of Technology (ASCIT) Teaching Award for outstanding dedication to instruction during the 2017-2018 academic year! [ jpg1 , jpg2 ] 05/27/2018: Our new paper Time Series Analysis of S&P 500 Index: A Horizontal Visibility Graph Approach is published by Physica A, [Paper pdf ]. 03/15/2018: Our paper A Dynamic Analysis of S&P 500, FTSE 100 and EURO STOXX 50 Indices under Different Exchange Rates is published by PLOS ONE, [Paper pdf ]. 11/30/2017: Honored to be invited to serve on the Scientific Committee of the 13th International Conference on Applications of Statistics and Probability in Civil Engineering (ICASP13) , Seoul National University, May 26-30, 2019. 08/27/2017: Happy to become the US National Champion together with the Southern California floorball team [ photo (I am the one with two gold medals!)| news ]. Konstantin (Kostia) M. Zuev Ph.D. in Mathematics Ph.D. in Civil Engineering Special Lecturer in Computing and Mathematical Sciences Department of Computing + Mathematical Sciences Division of Engineering and Applied Science California Institute of Technology Honorary Supervisor [ web ] Institute for Risk and Uncertainty University of Liverpool Consultant Virtualitics, Inc. Chairman Committee on Probability and Statistics in the Physical Sciences Bernoulli Society for Mathematical Statistics and Probability Email: Phone: Office: Address: On the web: kostia [at] caltech [dot] edu +1 (626) 395-1762 Annenberg 114 Annenberg Center, MC 305-16 California Institute of Technology 1200 E. California Blvd. Pasadena, CA 91125 Google Scholar LinkedIn Twitter SSRN Cross Validated GitHub ArXiv ORSID diff --git a/src/data/compiled_bios/5213.txt b/src/data/compiled_bios/5213.txt new file mode 100644 index 0000000000..613aca4bcf --- /dev/null +++ b/src/data/compiled_bios/5213.txt @@ -0,0 +1 @@ + Paul W.K. Rothemund Research Professor Computer Science Bioengineering (Systems & Synthetic Biology) Computation and Neural Systems Caltech , MS 136-93, Moore 231 Pasadena, CA 91125 [USA] pwkr@dna.caltech.edu Cell: (626) 390-0438 FAX: (626) 584-0630 Rendered by Nick Papadakis, Copyright P.W.K.R. and N.P. NEWS 11/12/2018: Due to a backlog of unpublished manuscripts and other paperwork, I am unable to consider or process requests for letters of recommendation, requests for reviews, letters in support of greencard applications, awards, or any other requests other than those directly related to current projects in the lab. The sole exception is for recommendation letter requests for direct student or postdoc collaborators, or in the case of tenure letters. NEWS: If you are an undergrad interested in DNA nanotechnology, or other areas of biomolecular design such as protein design, check out the BIOMOD biomolecular design competition run by Shawn Douglas at Harvard. I am a Research Professor at Caltech where I maintain a small lab including grad students, postdocs and visitors. Currently, I collaborate with postdoc Ashwin Gopinath on the integration of DNA origami into microfabricated devices, and the applications of this technology to nanophotonics, nanoelectronics, and biology. With postdoc Cody Geary and visitor Ebbe Andersen, I work on RNA origami architectures for folding RNA into arbitrary shapes. We share resources with the laboratory of professor Erik Winfree at Caltech . We collaborate on many projects; papers are available on the publications page. My curriculum vitae is available here. I have had the good fortune to be supported by the NSF , the CISE directorate Computer & Information Science and Engineering has been particularly generous. Similarly, the Semiconductor Research Corporation , through its FENA program, has funded much of our recent work attempting to marry DNA self-assembly with microfabrication. A grant from Microsoft Research seeded our efforts to study stacking bonds between DNA origami. We have a grant from the Army (ARO) Biochemistry program to study the bacterial actin homolog parM with Dyche Mullins from UCSF. And we have a grant from DARPA, under its Living Foundries program, to create excitable biochemical wires analogous to the long range signal carriers of the nervous system, the axons. My interests lie at the interface of computer science, biology, and chemistry. By this I do not mean the application of computer science to solve problems in biology or chemistry such as the protein folding problem. Rather, I am interested in how processes in biology and chemistry can actually act as computers and execute molecular algorithms. In August 2008, a group of 6 Caltech and University of Washington PIs were awarded a $10 million grant National Science Foundation Grant for developing this idea: The Molecular Programming Project . There are several video presentations linked from this site about Molecular Programming, including a public talk which I delivered at the TED conference. In 2006, I reported a method of creating nanoscale shapes and patterns using DNA. Each of the two smiley faces above, at right, are actually giant DNA complexes imaged with an atomic force microscope. Each is about 100 nanometers across (1/1000th the width of a human hair), 2 nanometers thick, and each is comprised of about 14,000 DNA bases. 7000 of these DNA bases belong to a long single strand, a DNA molecule that just happens to be the genome of the virus M13. The other 7000 of these bases belong to about 250 shorter strands, each about 30 bases long. These short strands fold the long strand into the smiley face shape. I call the method "scaffolded DNA origami". (For the record: there is no fundamental significance to the fact that it is viral DNA; I could buy it and it was cheap and pure. M13 is a bacteriophage---it can make the bacteria in your intestine sick but not you! Also, I apologize to my Japanese colleagues for the name "DNA origami" which literally translated would be "DNA paper folding"---English speakers sometimes use "origami" as verb meaning just "to fold up", similar to the way we use "pretzel" as a verb---thus "DNA origami" had the feeling of "DNA folding" even though it is an abuse of the word "origami".) While the smiley face shape is somewhat silly DNA artwork, it is a high technology artifact and there is serious science behind it. We hope to use the technique of DNA origami (as well as many other techniques of DNA nanotechnology) to build smaller, faster computers and many other devices. The best way to understand how this works is to read the original article published in Nature . There are two supplemental files associated with this paper. The first (82 pages, 6.3 megabytes) describes the design method, block diagrams for the designs, sequences for all of the designs, and includes data on control experiments. This file is likely to be of most interest. The second (9 pages, 192 kilobytes) includes diagrams for all the designs that have the full sequence written out in the diagrams. This file is useful if one wishes to check details of the design or modify them. It cannot be printed clearly and is best viewed with a PDF viewer on the screen. Please email me with your PDF viewer name and version if either of these files do not work for you. I apologize that the MATLAB code for the design of origami structures has not been released. Unfortunately the code was in such a bad state that it proved too difficult to clean up for release. Luckily it was quickly obsolesced by much better software caDNAno , by Shawn Douglas at Harvard. We use caDNAno to design DNA origami almost every day. It features a great graphical user interface, and a large number of other scientists are developing software that interfaces with caDNAno. Thus it has really become the standard for DNA origami design. The latest version of caDNAno is recommended, but you may also be interested in a previous version, available from a repository of legacy caDNAno code . If you are interested in DNA origami, and DNA nanotechnology in general, and want more information, please email me. I maintain a list of researchers in DNA origami, as well as lists and repositories of references which I am happy to share. Once the basic design for a shape has been completed, one can add a surface pattern on top of the shape. For demonstration purposes in the Nature paper, the surface pattern was also made out of DNA although in principle it could be rendered using a chemically, electronically, or optically interesting material. Because each staple occurs in a unique location in the origami shape, this location can serve as a pixel. The normal DNA staple can represent a '0' or a flat pixel. A modified DNA staple with an extra DNA bump (a DNA hairpin) can be used to represent a '1'. This is what has been done for the first three images below, the map, some snowflakes, and the word 'DNA' rendered above a representation of the double helix. Each of these patterns has been applied on a roughly 100 nanometer wide rectangle and each pixel is roughly 6 nanometers in size. Because there are about 200 staples, each pattern can have 200 pixels. Two copies of the origami have stuck together in the third image to make the helix appear continuous. Errors occasionally occur as in the lefthand 'D' in the first 'DNA' at right. The structure below is a hexagon that is actually built up of six origami triangles. Each triangle has a pattern added to it (the green bumps) so that orientation of the triangles in the hexagon can be ascertained. All of the images shown here are actual atomic force microscope (AFM) data of DNA molecules (smoothed to remove noise). An AFM measures surface topography. Here, false color is used to indicate height. The height of a basic shape (say the smileys) is just the 2 nanometer thickness of DNA. Wherever a DNA bump has been added in a pattern the surface height is 4 nanometers. The height contrast has been exaggerated (with respect to the lateral dimensions) to emphasize the topography. Importantly, there is a long list of people who do work on DNA nanotechnology. Among them the inventor of DNA nanotechnology Ned Seeman at NYU, William Shih at Harvard, Milan Stojanovic and Darko Stefanovic at Columbia and UNM, Hao Yan at Arizona State University, Thom LaBean at Duke, Andrew Turberfield at Oxford, Hiroshi Sugiyama and Masayuki Endo at Kyoto University, Bernie Yurke and others in the Nanoscale Materials and Devices Lab at Boise State University, Hendrik Dietz , Fritz Simmel , and Tim Liedl with their three groups in Munich, and many others. Also, DNA nanotechnology encompasses much more than just making shapes as shown above. It includes extended DNA sheets, DNA tubes, DNA machines, DNA walkers, etc. email: pwkr@dna.caltech.edu diff --git a/src/data/compiled_bios/5214.txt b/src/data/compiled_bios/5214.txt new file mode 100644 index 0000000000..be09909d59 --- /dev/null +++ b/src/data/compiled_bios/5214.txt @@ -0,0 +1 @@ + James L. Beck George W. Housner Professor of Engineering and Applied Science Department of Computing and Mathematical Sciences Department of Mechanical and Civil Engineering Home People Research Courses CV Publications Links Contacts My Research Interests In preparation for my shift to Professor Emeritus at the California Institute of Technology next year, I am no longer accepting graduate students into my research group. I will continue to collaborate with others on research of mutual interest. My research is focused primarily on the dynamics of structural systems where we are interested in dynamic response prediction, model identification and structural health monitoring from vibrational data, and control of vibrational response. To improve performance-based earthquake-resistant design, we are also interested in modeling and predicting earthquake loads, damage and monetary losses (repair costs and income loss) that a structure may experience during its lifetime. A characteristic feature of much of our research is that it involves a probability logic approach to handle the uncertainties involved in structural modeling and excitation modeling. Recent research topics include: robust response prediction and reliability, structural health monitoring, seismic loss estimation, seismic early warning, stochastic robust structural control, Bayesian updating and model class selection using Markov Chain Monte Carlo simulation methods, Bayesian state and parameter estimation using particle filter methods, and sparse Bayesian learning with automatic relevence determination prior. Brief Bio (pdf) Google Scholar Profile Beck Symposium - Feb 3 & 4, 2017 "Making Rational Decisions Under Uncertainty and Model Complexity" ICOSSAR Keynote Lecture - June 2013 (pdf) California Institute of Technology diff --git a/src/data/compiled_bios/5215.txt b/src/data/compiled_bios/5215.txt new file mode 100644 index 0000000000..899420e33f --- /dev/null +++ b/src/data/compiled_bios/5215.txt @@ -0,0 +1 @@ + Skip to main content Division of Engineering & Applied Science Positions Available search search options CMS Caltech Department of Computing + Mathematical Sciences About Overview Mission History + Facts Facilities Life in the Department Location + Directions Positions Available Resources People Faculty Administration Visitors Postdoctoral Scholars Graduate Students Directory Academics Overview Graduate Programs Undergraduate Program Course Descriptions Course Schedule Honors and Awards Research Overview Centers + Initiatives Research Videos Meeting of the Minds Seminars & Events News Outreach Public Outreach Local Outreach Partners Program Contact Contact Us Location + Directions Directory Get Involved Women in CMS Faculty Kanianthra M. (Mani) Chandy Simon Ramo Professor of Computer Science, Emeritus Degrees and Appointments B.Tech., Indian Institute of Technology, 1965; M.S., Polytechnic Institute of Brooklyn, 1966; Ph.D., Massachusetts Institute of Technology, 1969. Sherman Fairchild Distinguished Scholar, Caltech, 1988; Visiting Professor, 1988-89; Professor, 1989-97; Ramo Professor, 1997-2014; Ramo Professor, Emeritus, 2014-. Executive Officer for Computer Science, 1997-2000; Deputy Chair, 2009-12. Assistant(s) Research Group Matters Diane Goodfellow 246 Annenberg IST Center (626) 395-6842 diane@cs.caltech.edu Research Group Website Personal Website Research Overview Professor Chandy builds and analyzes systems that sense and respond to changes. He is currently working on systems that sense and respond to: (a) seismic events, (b) threat events such as the introduction of nuclear radiation material, (c) medical events such a fetal distress, and (d) events in the power grid. The systems use sensor networks, cloud computing and event-driven architecture. The theory is based on optimization, control, machine learning and game theory. List of Research Areas distributed systems, verification and validation of concurrent systems, software packages for analyzing streams of data. CMS News about Kanianthra M. (Mani) Chandy Professor Chandy Receives Harry H. Goode Memorial Award Professor Chandy's Paper Wins Edsger W. Dijkstra Prize in Distributed Computing Professor Chandy's Paper Wins Hall of Fame Award Read more news about Kanianthra M. (Mani) Chandy Is this your profile? People Faculty Visitors Postdoctoral Scholars Graduate Students Directory Learn More Research Academics Visiting Contact Get Involved For Students How to Apply Course Catalog Course Schedule Life in the Department For Our Department Resources Positions Available Communications Office California Institute of Technology 1200 E California Blvd. MC 305-16, Pasadena, CA 91125 2019 Caltech . All rights reserved . Privacy Notice . Feedback? back to top diff --git a/src/data/compiled_bios/5216.txt b/src/data/compiled_bios/5216.txt new file mode 100644 index 0000000000..70e01a8341 --- /dev/null +++ b/src/data/compiled_bios/5216.txt @@ -0,0 +1 @@ + Skip to main content Division of Engineering & Applied Science Positions Available search search options CMS Caltech Department of Computing + Mathematical Sciences About Overview Mission History + Facts Facilities Life in the Department Location + Directions Positions Available Resources People Faculty Administration Visitors Postdoctoral Scholars Graduate Students Directory Academics Overview Graduate Programs Undergraduate Program Course Descriptions Course Schedule Honors and Awards Research Overview Centers + Initiatives Research Videos Meeting of the Minds Seminars & Events News Outreach Public Outreach Local Outreach Partners Program Contact Contact Us Location + Directions Directory Get Involved Women in CMS Faculty Donald S. Cohen Charles Lee Powell Professor of Applied Mathematics, Emeritus Degrees and Appointments Sc.B., Brown University, 1956; M.S., Cornell University, 1959; Ph.D., New York University (Courant Institute), 1962. Assistant Professor of Mathematics, Caltech, 1965-67; Associate Professor of Applied Mathematics, 1967-71; Professor, 1971-98; Powell Professor, 1998-2003; Powell Professor Emeritus, 2003-. Executive Officer for Applied Mathematics, 1988-93; Chairman, Division of Engineering and Applied Science, 1990. Assistant(s) Research Group Matters Sydney Garstang 102 355 S. Holliston (Steele House) (626) 395-4555 sydney@caltech.edu Research Group Website Personal Website List of Research Areas Diffusion theory and transport in modern materials, particularly nonlinear non-classical modes of transport; multi-scaling and general perturbation theory and bifurcation theory in differential equations; chemical reactor and chemical reaction theory; biochemical oscillations; non-self-adjoint spectral problems in wave propagation; acoustic and electromagnetic scattering problems. Is this your profile? People Faculty Visitors Postdoctoral Scholars Graduate Students Directory Learn More Research Academics Visiting Contact Get Involved For Students How to Apply Course Catalog Course Schedule Life in the Department For Our Department Resources Positions Available Communications Office California Institute of Technology 1200 E California Blvd. MC 305-16, Pasadena, CA 91125 2019 Caltech . All rights reserved . Privacy Notice . Feedback? back to top diff --git a/src/data/compiled_bios/5217.txt b/src/data/compiled_bios/5217.txt new file mode 100644 index 0000000000..ab437a0cde --- /dev/null +++ b/src/data/compiled_bios/5217.txt @@ -0,0 +1 @@ + Skip to main content Division of Engineering & Applied Science Positions Available search search options CMS Caltech Department of Computing + Mathematical Sciences About Overview Mission History + Facts Facilities Life in the Department Location + Directions Positions Available Resources People Faculty Administration Visitors Postdoctoral Scholars Graduate Students Directory Academics Overview Graduate Programs Undergraduate Program Course Descriptions Course Schedule Honors and Awards Research Overview Centers + Initiatives Research Videos Meeting of the Minds Seminars & Events News Outreach Public Outreach Local Outreach Partners Program Contact Contact Us Location + Directions Directory Get Involved Women in CMS Faculty Alain J. Martin Professor of Computer Science, Emeritus Degrees and Appointments B.S., University of Marseille, 1965; Ing., Polytechnic Institute (Grenoble), 1969. Visiting Assistant Professor, Caltech, 1981-83; Visiting Associate Professor, 1983; Associate Professor, 1983-86; Professor, 1986-2016; Professor, Emeritus, 2016-. Executive Officer, 1994-97. Assistant(s) Research Group Matters Diane Goodfellow 246 Annenberg IST Center (626) 395-6842 diane@cs.caltech.edu Research Group Website Personal Website Research Overview Professor Martin focuses on asynchronous VLSI and parallel architecture. List of Research Areas asynchronous VLSI, parallel architecture CMS News about Alain J. Martin 25th Anniversary of First Asynchronous Microprocessor Kevin Chen Receives 2013 Henry Ford II Scholar Award Alumni Named Broadcom Distinguished Engineers Read more news about Alain J. Martin Is this your profile? People Faculty Visitors Postdoctoral Scholars Graduate Students Directory Learn More Research Academics Visiting Contact Get Involved For Students How to Apply Course Catalog Course Schedule Life in the Department For Our Department Resources Positions Available Communications Office California Institute of Technology 1200 E California Blvd. MC 305-16, Pasadena, CA 91125 2019 Caltech . All rights reserved . Privacy Notice . Feedback? back to top diff --git a/src/data/compiled_bios/5218.txt b/src/data/compiled_bios/5218.txt new file mode 100644 index 0000000000..43a9a67bd3 --- /dev/null +++ b/src/data/compiled_bios/5218.txt @@ -0,0 +1 @@ + Computation & Neural Systems California Institute of Technology Home : People : Research : Seminars : Academics : Admissions : Positions : Contact People Faculty Faculty Associates Broad Fellows Postdoctoral Scholars Research Staff Graduate Students Alumni Staff Contact Carver Mead Gordon and Betty Moore Professor of Engineering and Applied Science, Emeritus B.S., Caltech, 1956; M.S., 1957; Ph.D., 1960; D.Sc.h.c., University of Lund (Sweden); D.h.c., University of Southern California. Instructor in Electrical Engineering, Caltech, 1958-59; Assistant Professor, 1959-62; Associate Professor, 1962-67; Professor, 1967-77; Professor of Computer Science and Electrical Engineering, 1977-80; Moore Professor of Computer Science, 1980-92; Moore Professor of Engineering and Applied Science, 1992-99; Moore Professor Emeritus, 1999-. website Assistant to Professor Carver Mead Donna Fox Email Phone: 626-395-2812 Location: 225 Moore Laboratory Mail Code: 136-93 Home | People | Research | Seminars | Academics | Admissions | Positions | Contact 2019 California Institute of Technology. All Rights Reserved. last update: 06/01/2016 diff --git a/src/data/compiled_bios/5219.txt b/src/data/compiled_bios/5219.txt new file mode 100644 index 0000000000..74073db744 --- /dev/null +++ b/src/data/compiled_bios/5219.txt @@ -0,0 +1 @@ + Research Interests Information Retrieval Cross Lingual Information Retrieval Data Mining Databases Education PhD in Computer Science, The George Washington University MS in Computer Science, The George Washington University Bachelor in General Engineering, Alakhawayn University in Ifrane, Morocco Biography Ghita Amor-Tijani is an Assistant Teaching Professor at the College of Computer and Information Science. She received her PhD in Computer Science from The George Washington University in cross-lingual information retrieval (CLIR). In her research, Professor Amor analyzed different approaches used to deal with problems related to word-by-word translation using online dictionaries. She designed and implemented different techniques to improve the effectiveness of an Arabic-English CLIR system. Her research interests include further exploring various methods to enhance different information retrieval systems. Prior to joining Northeastern, Professor Amor taught different computer science courses at Wentworth Institute of Technology and the University of Rhode Island. Field of research/teaching Cross Lingual Information Retrieval What is your educational background? I received my PhD in Computer Science from the George Washington University, Washington, DC in 2008, after earning a MS in Computer Science there in 2001. My Bachelor in General Engineering, with a concentration in software engineering, came from Alakhawayn University in Ifrane, Morocco. What is your research focus? My research interests include Information Retrieval, Cross Lingual Information Retrieval, Data Mining, Software Engineering, and Databases. What courses/subjects do you teach? CS1100 Computer Science and Its Applications CS1800 Discrete Structures IS1500 Introduction to Web Development CS3200 Database Design CS5200 Database Management Systems : diff --git a/src/data/compiled_bios/522.txt b/src/data/compiled_bios/522.txt new file mode 100644 index 0000000000..319e2a30ad --- /dev/null +++ b/src/data/compiled_bios/522.txt @@ -0,0 +1 @@ +Haryadi Gunawi Neubauer Family Assistant ProfessorDepartment of Computer Science Email: haryadi@cs.uchicago.edu Phone: (773) 702-5772 Office: JCL 347 Website: http://people.cs.uchicago.edu/~haryadi Research: systems Biography Haryadi S. Gunawi is a Neubauer Family Assistant Professor in the Department of Computer Science at the University of Chicago where he leads the UCARE research group (UChicago systems research on Availability, Reliability, and Efficiency). He received his Ph.D. in Computer Science from the University of Wisconsin, Madison in 2009. He was a postdoctoral fellow at the University of California, Berkeley from 2010 to 2012. His current research focuses on cloud computing reliability and new storage technology.He has won numerous awards including NSF CAREER award, NSF Computing Innovation Fellowship, Google Faculty Research Award, NetApp Faculty Fellowships, and Honorable Mention for the 2009 ACM Doctoral Dissertation Award. His research focus is in improving dependability of storage and cloud computing systems in the context of (1) performance stability, wherein he is interested in building storage and distributed systems that are robust to latency tails and "limping" hardware, and (2) reliability and scalability, wherein he is interested in combating concurrency and scalability bugs in cloud-scale distributed systems, and (3) interactions of machine learning and systems, specifically how machine learning techniques can address operating/storage system problems. CV:http://people.cs.uchicago.edu/~haryadi/cv.pdf Research Cloud Computing, Operating Systems, File/Storage Systems, Distributed Systems, and Software Engineering Education PhD in Computer Science, UW Madison BS in Computer Engineering and Computer Science, UW Madison Additional Postdoctoral Fellow, UC Berkeley, 2010-2012 Current project: UCARE: UChicago systems Availability Reliability and Elasticity diff --git a/src/data/compiled_bios/5220.txt b/src/data/compiled_bios/5220.txt new file mode 100644 index 0000000000..10fc1cdbd0 --- /dev/null +++ b/src/data/compiled_bios/5220.txt @@ -0,0 +1 @@ + Education PhD in Computer Science, University of Massachusetts, Lowell MS in Computer Science, University of Massachusetts, Lowell BS in Electrical Engineering, Universidad Metropolitana, Caracas, Venezuela Biography ProfessorJose Annunziato is an experienced software engineer with over seventeen years of experience in the software development industry. He has over fifteen years of experience in teaching graduate computer science courses at universities in the Boston area. Prof. Annunziato earned his MS and PhDin Computer Science from the University of Massachusetts, Lowell. Hometown Dunstable, MA Field of research/teaching Web Development What is your educational background? I received a BS in Electrical Engineering at in Universidad Metropolitana in Caracas, Venezuela, as well as a MS and a PhD in Computer Science at UMass Lowell. What is your research focus? I am exploring tools with students to bring programming to the masses by building tools for the casual programmer, such as those who want to create simple applications which do not need a dedicated software engineer. What courses/subjects do you teach? CS5610 CS4550 CS3200 CS1500 What do you enjoy most or find most rewarding about what you teach? I love to dispel myths and stereotypes about technology. I like to show how easy and accessible computer science is and how to create practical solutions to complex problems. I love to see students faces when they understand a topic and realize that it is not as hard as they thought it was. I enjoy sharing real life experiences and anecdotes with students stories from the front line which prepare them for real world working environments. Through these examples, I share the kinds of interactions and expectations other team mates may have. Where did you grow up or spend your most defining years? I grew up in Caracas, Venezuela and New York City, with extended family in Italy. I returned to Venezuela for university, and my Italian, Venezuelan, and New York backgrounds give me exposure to different cultures. Where did you study? I studied in Caracas, Venezuela and Lowell, Massachusetts. What are the specifics of your industry experience? I have ten years of experience with server side web development in the industries of defense, telecommunications, and finance, as well as seven years in front end web development for content management, publishing, education, and healthcare. Prior to web development, I worked for three years in electrical engineering for automated manufacturing. : diff --git a/src/data/compiled_bios/5221.txt b/src/data/compiled_bios/5221.txt new file mode 100644 index 0000000000..c5d4453d54 --- /dev/null +++ b/src/data/compiled_bios/5221.txt @@ -0,0 +1 @@ + Research Interests Statistical computing environments and methods for big, complex data, especially datasets which have non-trivial correlation structures or which integrate data from multiple sources. Education PhD in Statistics, Purdue University MS in Applied Statistics, Purdue University BS in Statistics and Mathematics, Purdue University Biography Kylie Bemis is a Future Faculty Fellow in the College of Computer and Information Science at Northeastern University. She holds a BS degree in Statistics and Mathematics, a MS degree in Applied Statistics, and a PhD in Statistics from Purdue University. In 2013, she interned at the Canary Center at Stanford for Cancer Early Detection, where she developed the Cardinal software package for statistical analysis of mass spectrometry imaging experiments. In 2015, she was awarded the John M. Chambers Statistical Software Award by the American Statistical Association for her work on Cardinal. In 2016, she joined the Olga Vitek lab for Statistical Methods for Studies of Biomolecular Systems at Northeastern University as a postdoctoral fellow. While at Purdue University, Kylie Bemis served as president of the Purdue chapter of the American Indian Science and Engineering Society (AISES) and secretary of the Native American Student Association (NASA). She is active in outreach to the Native American and LGBTQ communities. She is an enrolled member of the Zuni tribe, and her hobbies include writing fiction and poetry. : diff --git a/src/data/compiled_bios/5222.txt b/src/data/compiled_bios/5222.txt new file mode 100644 index 0000000000..bad10b6cbd --- /dev/null +++ b/src/data/compiled_bios/5222.txt @@ -0,0 +1 @@ + Education PhD in Electrical Engineering, University of Washington MS in Electrical Engineering, University of Washington Biography Tamara Bonaci is an Assistant Teaching Professor at Northeastern Universitys College of Computer and Information Science in Seattle. She received her PhD from the University of Washington in 2015, specializing in security and privacy of emerging biomedical technologies. Since graduation, she has been a part of a pre-public local Seattle startup, focusing on biometric methods. She also teaches a sequence of security and privacy courses at Northeastern University and the University of Washington. Tamara feels very strongly about diversity in engineering, and about bringing women to and retaining them in STEM. In her free time, Tamara enjoys going to playgrounds and running. What are the specifics of your educational background? I received my MS and PhD degrees from the University of Washington, specializing in security and privacy, and I was fortunate to work on several fun projects, from security of wireless sensor networks to security and privacy of robotic systems and brain-computer interfaces. What is your research focus? My research focuses on security and privacy of emerging and forthcoming biomedical technologies. When I was just starting my PhD, I was planning to do a communications-related research, but once I discovered security and privacy, I knew I found an area for me. : diff --git a/src/data/compiled_bios/5223.txt b/src/data/compiled_bios/5223.txt new file mode 100644 index 0000000000..6c57b7cb13 --- /dev/null +++ b/src/data/compiled_bios/5223.txt @@ -0,0 +1 @@ + Education BA in Mathematics/Computer Science, Vassar College PhD in Computer Science, Columbia University Biography Andrea Danyluk is the Global Director of the Align Masters Program and Visiting Professor at Northeastern University. She comes to Northeastern from Williams College, where she is the Dennis A. Meenan 54 Third Century Professor of Computer Science. At Williams she has served as Chair of the Computer Science Department, of the Cognitive Science Program, and as Acting Dean of the Faculty. Prior to joining the faculty at Williams, she was a researcher at NYNEX (now Verizon). Danyluks research interests are in machine learning, where her work has been motivated by a variety of applications, from telecommunications to computational music. Within that application context, she has worked on problems such as data error, cost sensitivity, and feature selection. She has served as both Program co-Chair and General Chair of ICML. Danyluk is also active in Computer Science education. She is a co-author of a textbook Java: An Eventful Approach with Kim Bruce and Tom Murtagh, and was a member of the ACM/IEEE-CS Task Force on CS Curricula 2013. She is currently a member of the ACM Education Council, as well as co-Chair of the ACM Data Science Task Force. Danyluk has been a member of CRA-W, the Computing Research Associations Committee on the Status of Women in Computing Research, since 2008, where her projects focus primarily on undergraduate research mentoring. She received her BA from Vassar College and her PhD from Columbia University. What is your field of research/teaching? My fields of research include Machine Learning and Computer Science Education. What are the specifics of your educational background? I received a PhD in Computer Science at Columbia University and a BA in Mathematics/Computer Science at Vassar College. What is your research focus in a bit more detail? Is your current research path what you always had in mind for yourself, or has it evolved somewhat? If so, how/why? My CS disciplinary research lies squarely in Machine Learning. I have always been motivated by real applications, as they help bring to light interesting research questions. Over the past decade or so, I have become increasingly involved in Computer Science Education research. As a professor who is passionate about teaching, I am especially interested in developing curricula and pedagogy that make students excited about computer science and that allow them to thrive. : diff --git a/src/data/compiled_bios/5224.txt b/src/data/compiled_bios/5224.txt new file mode 100644 index 0000000000..4b9805f0be --- /dev/null +++ b/src/data/compiled_bios/5224.txt @@ -0,0 +1 @@ + Research Interests Artificial intelligence Machine learning Education PhD in Computer Science and Engineering, University of Michigan MS in Computer Science and Engineering, University of Michigan BS in Computer Science, North Carolina State University Biography Nate Derbinskys research interests combine artificial intelligence, optimization, machine learning, and database systems. He recently helped invent the Boundary Forest Algorithm, an online instance-based approach for supervised and unsupervised learning, as well as the Three-Weight Algorithm, a general & distributed algorithm based on the Alternating Direction Method of Multipliers (ADMM) that has been effectively applied to large-scale problems in robotics, control, protein folding, and multi-dimensional packing. He also works with the Soar cognitive architecture, enabling a broad range of AI systems that are endowed with effective and efficient long-term memory. In work with undergraduates, he has created CHUCK, a robot that still needs some work, but will eventually beat its creator in a game of cornhole! Teaching is Nates passion, and developing and delivering quality CS education content is his mission. He has been involved in teaching Computer Science, in some form or other, for nearly 20 years, including at the K-12, (community) college, and graduate levels. He constantly seeks new ways to make complex CS topics accessible, and bring an increasingly diverse group to understand how fun and transformative computing can be. He has recently dipped his toes in the waters of CS education, investigating effective methods of service learning and grad-school preparation. Nate has a strong personal interest in applying technologies that scale to solve important problems in the world. In 1998 he founded BitX Solutions, a small corporation based in North Carolina. For 11 years, Nate led software-development teams to track evidence for law-enforcement agencies; manage supplies at food banks; provide diagnostic training for neurology interns; and supply comprehensive web-based fellowship/scholarship advising for thousands of students and faculty members at two universities. Nate has also served as a volunteer teacher and technology consultant for Powering Potential, an NGO that uses technology to enhance educational opportunities and outcomes in rural Tanzania. Nate joined the Wentworth Institute of Technology in 2014, where he was recently awarded the 2017 Presidents Award for Distinguished Scholarship. Prior to WIT he was a Postdoctoral Associate at Disney Research, where he specialized in large-scale optimization and machine-learning algorithms, and before that briefly worked as a Visiting Research Associate at the University of Hertfordshire, where he researched applications of cognitive architecture for scalable Human-Robotic Interaction studies. Nate earned his PhD from the Computer Science and Engineering Division at the University of Michigan where he worked in the Soar group under the supervision of John Laird. He received an M.S. in Computer Science and Engineering from the University of Michigan and a B.S. in Computer Science from North Carolina State University, where he studied as a Park Scholar. : diff --git a/src/data/compiled_bios/5225.txt b/src/data/compiled_bios/5225.txt new file mode 100644 index 0000000000..90d50e3207 --- /dev/null +++ b/src/data/compiled_bios/5225.txt @@ -0,0 +1 @@ + Research Interests Social Network Analysis and Visualization Data Science Personal Health Informatics Education PhD in Computer Science, Harvard University MSCS, Boston University BS in Mathematical Studies/Computer Science, University of Massachusetts, Boston Biography Kathleen Durant received her PhD in Computer Science from Harvard University in 2008, with a thesis that modeled political sentiment and its temporal evolution from political web log posts. After that, she was a National Library of Medicine research fellow at Harvard Medical School, in the lab of Clinical Informatics at Beth Israel Deaconess Medical Center. Her research at the lab investigated online cancer forums and the topics, sentiments, concerns and support provided by these online discussion groups. Recently, she has been the Director of Analytics and the Principal Scientist at Silverlink Communications, a small health care communications company, where her primary responsibility was to develop health care engagement models used to develop healthcare communication interventions in order to increase preventive care. She has taught courses at Northeastern Universitys College of Computer and Information Science since 2013 and has been a computer professional for over thirty years. In her spare time she enjoys reading, cooking, collecting sea glass, skiing, traveling, and spending time with her family. Field of research/teaching Database design Data science What courses/subjects do you teach? CS1100 Introduction to Computer Science CS1802 Seminar for Discrete Structures CS3200 Database Design DS4400 Machine Learning and Data Mining 1 DS5020 Collecting, Storing and Retrieving Data : diff --git a/src/data/compiled_bios/5226.txt b/src/data/compiled_bios/5226.txt new file mode 100644 index 0000000000..1c9514e5ee --- /dev/null +++ b/src/data/compiled_bios/5226.txt @@ -0,0 +1 @@ + Education PhD, University of Washington MEd in Technology, Innovation, and Education, Harvard University Biography Abigail Evans is a Lecturer at Northeastern Universitys College of Computer and Information Science in Seattle. She received her PhD from the University of Washingtons Information School in 2018, specializing in human computer interaction and computer supported collaborative learning. Abigail also holds an MEd in Technology, Innovation, and Education from Harvard University. : diff --git a/src/data/compiled_bios/5227.txt b/src/data/compiled_bios/5227.txt new file mode 100644 index 0000000000..a74e3ccf1d --- /dev/null +++ b/src/data/compiled_bios/5227.txt @@ -0,0 +1 @@ + Research Interests Health Data Analytics Health Informatics Education PhD in Biomedical Engineering, Boston University MS, MIT Media Lab BS in Computer Science and Mathematics, Yale University Biography ProfessorClark Freifeld is a lecturer in computer science at Northeastern University. His research focuses on applications of computing technology and artificial intelligence to the improvement of population health. He also serves as an affiliate faculty member at the Innovation and Digital Health Accelerator at Boston Childrens Hospital.Professor Freifeld has co-authored over twenty journal articles and co-founded and overseen a range of health informatics projects. His projects include: HealthMap, a global disease surveillance platform; MedWatcher, a medical product safety monitoring system; and StreetRx, a crowdsourcing tool for understanding black market pharmaceutical transactions. ProfessorFreifelds work has been used by millions of people and supported by public health agencies including CDC, WHO, DHS, DOD, HHS, and FDA, as well as being recognized by the Smithsonian and Library of Congress. Before joining the faculty at Northeastern, Freifeld was co-founder and chief technology officer of Epidemico, a health informatics spinout from Boston Childrens and MIT, now a division of Booz Allen Hamilton. He holds a Bachelor of Sciencein Computer Science and Mathematics from Yale University, a masters from the MIT Media Lab, and a PhD in Biomedical Engineering from Boston University. Hometown Boston, MA. Field of research/teaching Health Informatics / Computer Science What are the specifics of your educational background? My educational background has been interdisciplinary throughout my career: my undergraduate major was in computer science and mathematics combined; I earned my masters at the MIT Media Lab in a group focused on applications of technology for health and wellness; and my PhD in biomedical engineering synthesized elements of computer science and epidemiology. What is your research focus in more detail? Is your current research path what you always had in mind for yourself or has it evolved? My research applies information technology and computer science techniques to problems in health, epidemiology, and wellness. As a child, I had set my sights on becoming a doctor, but as I started to understand the distinction between health and medicine, the population-based, preventative approach to health just made more sense to me and attracted my interest. Meanwhile, I started programming and caught the bug for computer science. After I graduated from college, I worked as a software developer, first in mobile, and then in finance. I had no idea there could be a career in health informatics until I stumbled into a job as part of a research group at Boston Childrens Hospital. : diff --git a/src/data/compiled_bios/5228.txt b/src/data/compiled_bios/5228.txt new file mode 100644 index 0000000000..093356983c --- /dev/null +++ b/src/data/compiled_bios/5228.txt @@ -0,0 +1 @@ + Education PhD in Computer Science, Yale University BA in Computer Science, Harvard University Biography Dr. Kevin Gold received his Ph.D. from Yale University in 2008 for research on how robots could learn the meanings of pronouns and other abstract words from examples. He was the Norma Wilentz Hess Visiting Assistant Professor in the Computer Science Department at Wellesley College, then an Assistant Professor in the Interactive Games and Media department at the Rochester Institute of Technology. Dr. Gold had brief interlude in which he worked for industry, including a research scientist position at Lincoln Laboratory and a software engineering position at Google. He is happy to have returned to teaching, now as a lecturer at Northeastern Universitys College of Computer and Information Sciences. Field of research/teaching Artificial Intelligence, Theory Whatis your educational background? I received my PhD from Yale University. My advisor was Brian Scassellati, and our lab was called the Social Robotics Lab, emphasizing the kinds of AI necessary for robots to understand and interact with human beings. I think it is safe to say that no robots currently understand us. Can you describe yourresearch focus in more detail? Is your current research path what you always had in mind for yourself, or has it evolved? My most recent research which was a little while ago, because Im only just returning to academia was on AI techniques for games. I had drifted from intention recognition for robots to intention recognition within virtual worlds, which I think is more tractable, not to mention that games are a passion of mine. I think it takes time to learn what really matters to you. At the moment, what matters to me is teaching, at least on a professional level. I may combine my passions of teaching and gaming in the future. What courses/subjects do you teach? At other institutions, I have taught artificial intelligence, games, introductory web programming, and more specialized flavors of AI. At Northeastern University, Ive taught theory of computation, algorithms, and a variety of introductory courses for incoming students ranging from first-year undergraduates to first-year masters students. I enjoy the challenge of making clear the value of the math and theory to a skeptical, pragmatic audience. What do you enjoy most about what you teach? Is there anything notable about the kind of students that you teach ? Some parts of theory are hard, and I enjoy seeing one of those difficult topics finally click for a student. Office hours are nice for that, because you can seek out the source of a students confusion, figure out what it is, and fix it. I work with a wide variety of students, but I think some of the things that most of them share in common are the desire to work hard and the determination to succeed. Northeastern students are a pleasure to work with. What aresome specifics of your industry experience? After my undergraduate education, I worked on mobile movie players for Epson R&D. Then there was graduate school, and my first academic jobs. My first industry job after that was to work for Lincoln Laboratory in one of its cybersecurity groups. Following Lincoln, I worked for Google, first for the YouTube quality of experience team tracking playback errors, and then for the question-answering part of the search division. It was interesting in each of these areas trying to apply different AI techniques and then trying to convince others that those techniques were the right approach. : diff --git a/src/data/compiled_bios/5229.txt b/src/data/compiled_bios/5229.txt new file mode 100644 index 0000000000..4014a2f9f1 --- /dev/null +++ b/src/data/compiled_bios/5229.txt @@ -0,0 +1 @@ + Education MS in Computer Science, University of Arizona BS in Mathematics and Psychology, University of Arizona Biography Philip Gust is a Clinical Instructor at Northeastern Universitys College of Computer and Information Science in the Silicon Valley Campus. Philip has been working with computers for over 40 years. He learned to program while in high school for a science fair project to land an unmanned spacecraft on Mars and return samples to earth. A NASA special award lead to a job during college, working on unmanned spacecrafts that have visited every major planet in the solar system and beyond, including Mariner 10, Viking, and Voyager. He also taught computer science at the University of Arizona and wrote the textbook for one of the courses. Since then, he has worked at a number of companies, from large multinationals, to startups, including several on the founding team, and has developed dozens of software products. His publications include journal and magazine articles, and papers in conference proceedings. He has been active in professional societies for many years, including the ACM and the IEEE where he is a Senior Life member in both. He has served on boards of several commercial companies and non-profits. He is also an international award-winning costume designer and cosplayer, and editor of The Virtual Costumer magazine. What are the specifics of your educational background? I have a masters degree in computer science and I have completed my PhD coursework, with a focus on text processing and document preparation systems. I have an BS in Mathematics with a focus on computability and computational mathematics, and a BS in Psychology with a focus in cognitive and experimental psychology. What is your research focus in a bit more detail? Is your current research path what you always had in mind for yourself, or has it evolved somewhat? If so, how/why? My long-term research interest is human-computer interaction (HCI), with an emphasis user interface design and computer-mediated collaboration. I founded the Multi-User Interface group at HP Labs, help design the Xt toolkit, and co-invented the Shared X extension to X Windows. A more recent interest is in long-term preservation and access to born-digital content, including scholarly journals and books. At Stanford University, my work made the contents of LOCKSS digital repositories accessible to library users, and enabled users to make semantic queries across preserved content repositories. What are the specifics of your industry experience? As an undergraduate, I worked for NASA on unmanned spacecrafts that visited all the major planets. During graduate school, I taught a number of courses in the new U of A Computer Science department. After graduation, I worked at several Hewlett-Packard product divisions, and started a new user interface research group at HP Labs. Then, after working at several VC and privately funded Silicon Valley startups, I join a applied research group at Stanford University, and finally returned to teaching computer science. What courses/subjects do you teach? I teach ALIGN courses at the new Silicon Valley campus of Northeastern University, including CS 5001 (Intensive Fundamentals of Computer Science) and CS 5002 (Discrete Math and Data Structures). What do you enjoy most/find most rewarding about what you teach? Is there anything notable or unique about the kind of students that you teach? The ALIGN program helps students with no background in computing to pursue an advanced degree in Computer Science. The diversity of students and their backgrounds makes ALIGN classes both interesting and challenging to teach. My own interests are very broad so I really enjoy working with people from such diverse backgrounds. The diversity also means that some students are more prepared than others, so the challenge is ensuring that everyone learns the material and that no-one is left behind. Ill be experimenting with various techniques like study groups, team learning, and online communities so students can help each other to succeed. Where did you grow up/spend the most defining years of your childhood/young adulthood? I was born and spent my early years in Michigan, but our family moved to Arizona when I was young. I fell in love with the Sonora desert and still consider Arizona home. I attended grade school and high school in Phoenix, and then attended the University of Arizona in Tucson. Where did you study? Any reason in particular behind your choice (a program you were excited about, a city you love, a researcher you wanted to work with)? I chose to study at the University of Arizona because of my interest in planetary sciences, since they have one of the top-rated Astronomy and Planetary Sciences programs. However, funding for astronomy took a sharp downward turn part way through my degree program, so I decided instead to pursue a career in computer science which was just emerging as a separate discipline. I continue to be interested in planetary sciences and using intelligent robots to explore the solar system and beyond. : diff --git a/src/data/compiled_bios/523.txt b/src/data/compiled_bios/523.txt new file mode 100644 index 0000000000..fb55d1acb1 --- /dev/null +++ b/src/data/compiled_bios/523.txt @@ -0,0 +1 @@ +Heather Zheng Neubauer Professor of Computer Science Email: htzheng@cs.uchicago.edu Phone: 773-834-3291 Office: JCL 371 Website: https://people.cs.uchicago.edu/~htzheng Research: mobile data, networking, systems diff --git a/src/data/compiled_bios/5230.txt b/src/data/compiled_bios/5230.txt new file mode 100644 index 0000000000..a76b5762cc --- /dev/null +++ b/src/data/compiled_bios/5230.txt @@ -0,0 +1 @@ + Education PhD in Computer Science, Indiana University MS in Computer Science, Indiana University BS in Computer Science and Philosophy, BA in History, Trinity University Biography Jason Hemanns research interests include functional and logic programming. He focuses on embeddings and extensions to support logic programming in numerous host languages and transforming functional programs to relational ones. His microKanren model has inspired scores of implementationsmore than 120, in over 40 host languages, in just five years. Jasons other interests concern novel uses of logic programming and symbolic constraint systems and typesafe embeddings of logic languages. Jasons research interests blend together with his teaching. His research questions tend to emerge from his teaching, and his results make it back into the classroom. An example of this approach can be found in his recently published textbook The Reasoned Schemer, 2nd Edition. He has been teaching in various capacities for over 15 years, including pre-college STEM programs, private professional training programs, and university courses at undergraduate and graduate levels. His awards include Associate Instructor of the Year at Indiana University. Prior to joining Northeastern, Jason was briefly a Visiting Faculty at Rose-Hulman Institute of Technology. Jason earned his Ph.D. in 2018 from the School of Informatics, Computing, and Engineering at Indiana University as part of the programming languages research community and under the supervision of Dan Friedman. He earned his M.S in Computer Science from the School of Informatics and Computing at IU, and both a B.S. in Computer Science and Philosophy and a B.A. in History at Trinity University in San Antonio, Texas. : diff --git a/src/data/compiled_bios/5231.txt b/src/data/compiled_bios/5231.txt new file mode 100644 index 0000000000..06f110801f --- /dev/null +++ b/src/data/compiled_bios/5231.txt @@ -0,0 +1 @@ + Research Interests Computational complexity Approximation algorithms Computational biology Education PhD in Computer Science, Boston University BA in Mathematics, Boston University Biography Benjamin Hescott is a teaching professor and Associate Dean of Students at Northeastern University. Prior to that he was an Assistant Professor at the Department of Computer Science of Tufts University. Hescotts research interests include computational complexity, approximation algorithms, and computational biology. Most recently, he helped create a new metric of closeness for popular biological models. This work was used in the Dream Challenge for Disease Module Identification and received the Best Performer award. His students say that he works on using computer science to help cure human disease, he says he works on graphs. Hisfavorite place to be is in the classroom. He is continually searching for new tools and analogies to help make computer science and programming accessible to all. His teaching tools include everything from rolls of paper towels to model Turing Machine tapes to nesting Tupperware containers and yarn for linked lists. Hescottgraduated from Boston University with a Ph.D. in computer science in 2008. He has been the faculty supervisor for the student ACM chapter and served as the liaison to the New England Undergraduate Computer Science Symposium. He is member of the leadership team for ELA (Empowering Leadership Alliance) whose main purpose is encouraging, preparing, and retaining underrepresented minorities in computer science. He is the recipient of the 2011 IEEE Computer Society Computer Science and Engineering Undergraduate Teaching Award, recognizing his contribution for making computer science accessible to all. During his time atTufts Univeristy, Hescott won the 2011 Lerman-Neubauer Prize for Outstanding Teaching and Advising, the 2012 Henry and Madeline Fischer Award (Engineering Teacher of the year award) and the 2012 Lillian and Joseph Leibner Award for Excellence in Teaching and Advising of Students. He was recognized in 2013 by the Tufts Graduate Student Council for Outstanding Faculty Contribution to Graduate Studies. In 2016, he was awarded the ROUTE award which recognizes undergraduate teaching and mentoring. That same year the Tufts Student Body awarded him Professor of the Year. : diff --git a/src/data/compiled_bios/5232.txt b/src/data/compiled_bios/5232.txt new file mode 100644 index 0000000000..083cb23eb1 --- /dev/null +++ b/src/data/compiled_bios/5232.txt @@ -0,0 +1 @@ + Biography Alden Jackson is an Associate Clinical Professor at Northeastern Universitys College of Computer and Information Science. He earned his PhD at the University of Delaware. Professor Jackson is interested in SDN architecture, network security, reliability and robustness of massively distributed systems, network protocol design and implementation, and network traffic analysis and monitoring. Before Northeastern, Professor Jackson was a Senior Architect at Akamai Technologies where he was responsible for improving the scalability and reliability of the systems that safely distributed customer and system configuration metadata in Akamais production network to over 200,000 servers world-wide. Before Akamai, he was a Senior Network Scientist at BBN Technologies and Sandia National Laboratories where he was a principal investigator or key contributor on US Government (DARPA, DHS HSARPA, AFOSR, DOE) and commercially funded R&D projects in the areas of attack traceback, network traffic analysis and monitoring, network security, Active Networking, SDN archtecture, high speed network architecture, satellite packet switching, and optical network control plane. Education PhD, University of Delaware : diff --git a/src/data/compiled_bios/5233.txt b/src/data/compiled_bios/5233.txt new file mode 100644 index 0000000000..5455f10017 --- /dev/null +++ b/src/data/compiled_bios/5233.txt @@ -0,0 +1 @@ + EDUCATION PhD in Computer Science, The University of Texas at Austin MS in Computer Science, The University of Texas at Austin BS in Computer Science, University of Maryland BS in Forensic Chemistry, Ohio University BIOGRAPHY Maria Jump received her PhD in Computer Science from the University of Texas at Austin. Her main focus is educational strategies within computer science, specifically in regards to programming languages and runtime systems. Using her background from the IT industry, she assists non-computing majors in obtaining a Masters degree in CS through the Align MSCS program. She is currently working on developing techniques towards beginner programmers. Field of research/teaching Programming Languages What is your research focus? My primary passion is teaching and the study of computer science educational pedagogical strategies. This ties to my research interests lie in the area of programming languages and managed runtime systems. Specifically I am interesting in exploring how the runtime system of managed languages can be exploited to heighten program understanding. My research is currently focused on developing techniques to improve understanding of how programs use the heap and to develop techniques for identifying anomalous heap behavior particularly for novice programmers. What courses/subjects do you teach? I teach 5001, 5002, 5004, and probably more as time goes on. What do you enjoy most or find most rewarding about what you teach? I am excited to be part of the Align MSCS program. Where did you grow up or spend your most defining years? I grew up moving around mostly throughout Europe. What are the specifics of your industry experience? Before returning to school for my BSCS I worked in IT providing training and support for computer systems used by whatever company I worked for. At the end, I left my job at the Executive Office of the President to return to school full time. Between my BSCS and grad school, I worked as a Software Engineering for a startup in Austin, TX working on real-time day trading software. : diff --git a/src/data/compiled_bios/5234.txt b/src/data/compiled_bios/5234.txt new file mode 100644 index 0000000000..73dd7dd97f --- /dev/null +++ b/src/data/compiled_bios/5234.txt @@ -0,0 +1 @@ + Research Interests Robotic software systems (primarily autonomous mobile robotics) Computational intelligence (primarily Fuzzy Logic) Smart environments and software agents Multi-agent systems, (rule-based, knowledge-based, and model-based) Computation Traditional Artificial Intelligence (GOFAI). Education Visiting Scholar, Robotics Laboratory Computer Department, Stanford University PHD in Computer Science, University of Louisiana at Lafayette MS in Computer Science, University of Missouri-Columbia BS in Mathematics, Purdue University Biography Edward Katz is currently an Associate Teaching Professor in the M.S. Computer Science and ALIGN programsat Northeastern University Silicon Valleys College of Computer and Information Science. Previously, he was a Visiting Associate Professor in Computer Science at Loyola Marymount University for 2016-2017. Prior to LMU, he mentored Entrepreneurial Teams of MS students at Carnegie Mellon University Silicon Valley. Before mentoring CMU SV teams, he was both a Senior Systems Scientist and an Associate Professor in Software Engineering at CMU SV. Before that, he was a Senior MTS at Hewlett-Packard Laboratories. What are the specifics of your industry experience? Invited to be a Visiting Scholar at the Stanford University Computer Science Departments Robotics Laboratory, I collaborated with legendary AI Pioneer Prof. Nils J. Nilsson. One of the results was my developing the Fuzzy Teleo-Reactive extended paradigm for autonomous robot agent control, an extension of Nilssons Teleo-Reactive pioneering work. I have published technical papers in international conferences and have been awarded two US Patents. My professional memberships include Senior Member, Association for the Advancement of Artificial Intelligence (AAAI), Senior Member, Association for Computing Machinery (ACM), and Senior Member, Institute of Electrical and Electronics Engineers (IEEE). I currently am the 2018 IEEE Robotics and Automation Society Chapter Chair for the entire San Francisco Bay Area region. : diff --git a/src/data/compiled_bios/5235.txt b/src/data/compiled_bios/5235.txt new file mode 100644 index 0000000000..f3d8ddafe9 --- /dev/null +++ b/src/data/compiled_bios/5235.txt @@ -0,0 +1 @@ + Research Interests Programming Languages Computer Science Education Education PhD in Computer Science, University of Washington, Seattle BS in Computer Science and Mathematics, Yale University Biography Benjamin Lerner is an Assistant Teaching Professor at Northeastern Universitys College of Computer and Information Sciences. Professor Lerner earned his undergraduate degree at Yale University and achieved his PhD at the University of Washington in Seattle. He is currently developing Pyret, a new programming language aimed at teaching introductory programming. In the past, Prof. Lerner worked for Microsoft and MSR, and has taught at the Johns Hopkins Center for Talented Youth Program. Prof. Lerner received awards forCCISTeacher of the Year andUniversity Excellence in Teaching in 2017. Hometown New York City Field of research/teaching Programming Languages What is your educational background? I graduated from Yale University with a BS in Computer Science and Mathematics, having workedProfessor Paul Hudak as my undergraduate thesis advisor on the semantics of functional-reactive programming in Haskell. I completed my PhD at the University of Washington in Seattle, working withProfessor Dan Grossman on the semantics and implementations of extensible web browsers. I also worked as a post-doc with Shriram Krishnamurthi at Brown, and that collaboration continues. What is your research focus? Ive worked on semantics for web programming (JavaScript, the browser event model), and studied how extensible browser environments behave. In my post-doc, that research shifted from studying the semantics of JavaScript to using it as a compilation target. Since then, we have worked on developing a new programming language, Pyret (www.pyret.org), suitable for teaching introductory programming, which has a primary implementation living in the browser, and is based on our experiences from both teaching novice students and from studying browser semantics. I am one of the lead developers on Pyret and continue to work on it alongside my teaching responsibilities. What courses/subjects do you teach? CS2500: Fundamentals of Computer Science 1 CS2510: Fundamentals of Computer Science 2 CS3500: Object-oriented Design CS4410/6410: Compilers What do you enjoy most or find most rewarding about what you teach? I especially enjoy working with novice students and introducing them to the concepts and the fun of computer science, as I see them get it for the first time. I have been lucky to have a few inspiring teachers, who displayed genuine enthusiasm for their material and shared that passion with their students; this led me to do the same for students of my own. I have taught at the Johns Hopkins Center for Talented Youth program, working with gifted middle-school kids who had not been academically challenged in school and may never have found close friends among other students who were at their intellectual level. What are the specifics of your industry experience? I spent a year at Microsoft, working on the event-tracing infrastructure for Windows Vista, and spent a year and a half on an extended research internship with MSR during grad school, working on the extensible browser architecture that formed the basis of my thesis. : diff --git a/src/data/compiled_bios/5236.txt b/src/data/compiled_bios/5236.txt new file mode 100644 index 0000000000..14340e7f36 --- /dev/null +++ b/src/data/compiled_bios/5236.txt @@ -0,0 +1 @@ + Education PhD in Computer Science, Clarkson University BS in Software Engineering, Clarkson University Biography Professor Vidoje Mihajlovikj teaches Web Development at Northeastern University. His research focus is on software engineering, specifically on layout and representation of reaction networks. Prior to joining Northeastern, Professor Mihajlovikj worked in the industry for three years enhancing features in graphical editors. He earned his Bachelors of Science degree and his PhD from Clarkson University. About Me Hometown: Strumica, Macedonia Field of research/teaching Software Engineering What is your research focus? My research focus in graduate school was on layout and representation of reaction networks. What courses/subjects do you teach? This summer I am teaching Web Development. In the past I have taught Calculus and Pre-Calculus. What do you enjoy most or find most rewarding about what you teach? I like teaching applicable and practical material that students can use when they get their first job. Where did you grow up or spend your most defining years? I grew up in Macedonia. At 16 I came to Houston as an exchange student after which I moved to Potsdam, upstate NY where I spent nine years perusing my undergraduate and graduate degrees. Where did you study? I studied at Clarkson University in upstate NY. What are the specifics of your industry experience? I worked in industry for threeyears, working on enhancing features in graphical editors. : diff --git a/src/data/compiled_bios/5237.txt b/src/data/compiled_bios/5237.txt new file mode 100644 index 0000000000..3ab20303e8 --- /dev/null +++ b/src/data/compiled_bios/5237.txt @@ -0,0 +1 @@ + Biography Tony Mullen received his PhD from the University of Groningen, where he worked on applying machine learning techniques to syntactic parsing of human language. He holds an MPhil in Linguistics from Trinity College, Dublin and a BA in English Literature from the University of Washington. He carried out postdoctoral research in named-entity extraction for biomedical texts at the National Institute of Informatics in Tokyo, and since 2005 has been a faculty member in CS departments, first at Tsuda College, Tokyo and then at the University of Puget Sound. His areas of research interest include statistical natural language processing, computer-assisted language learning, and computer science pedagogy. He has written several books on 3D graphics software and related subjects. Education PhD in Natural Language Processing, University of Groningen Netherlands MPhil in Linguistics, Trinity College Ireland BA in English Literature, University of Washington Hometown Vashon, WA Field of research/teaching Computer Science What is your research focus in a bit more detail? Is your current research path what you always had in mind for yourself, or has it evolved? My research has mainly been in the fields of machine learning for natural language processing and in computer-assisted language learning. In NLP, my research has focused specifically on statistical parsing, named entity recognition, and sentiment analysis. In CALL, my research has focused on the development of virtual environments to facilitate language learning. What courses/subjects do you teach? Web Development Programming Computer Graphics What do you find most rewarding about what you teach? I have taught many subjects in many environments, and to students with a wide variety of nationalities, interests, and aptitudes. Whatever their background, it is a pleasure to work with students who are curious and eager to learn. Where did you study? I did my masters degree in Ireland and my PhD in The Netherlands. I carried out postdoctoral research, and a decade of university teaching in Japan. I have always valued international experience as a means of broadening my perspective. What are the specifics of your industry experience? I have worked as a software engineer in the logistics industry in Seattle and as a software/UX designer in digital media in Tokyo. Where did you grow up/spend the most defining years of your childhood/young adulthood? I grew up in the Pacific Northwest. : diff --git a/src/data/compiled_bios/5238.txt b/src/data/compiled_bios/5238.txt new file mode 100644 index 0000000000..40ef11183f --- /dev/null +++ b/src/data/compiled_bios/5238.txt @@ -0,0 +1 @@ + Research Interests Digital Humanities Digital Libraries Education PhD in Computer Science in Information Retrieval, University of Neuchatel, Switzerland MSc in Computer Information Systems, The Arab Academy for Banking and Financial Sciences, Jordan BSc Engr. in Information Technology and Software Engineering, University of Technology in Baghdad Biography ProfessorNada Naji received her PhD in Computer Science in information retrieval from the School of Computer Science (IIUN) at the University of Neuchatel, Switzerland in 2013. Prior to joining Northeastern University, she was a postdoctoral research fellow at the Center for Intelligent Information Retrieval (CIIR) at the University of Massachusetts Amherst since April 2014. Since 2009, her research has been focused on the representation and retrieval of noisy text (e.g. digitized text/OCR, social media textual content) and under-resourced languages (e.g. old languages, modern dialectal/informal variations). She is an awardee of the Swiss National Science Foundation (SNSF) Early Postdoc Mobility Grant. Field of research/teaching Information Retrieval What is your educational background? I received my undergraduate degree from the University of Technology in Baghdad, my masters from the Arab Academy for Banking and Financial Sciences, Jordan, and my doctorate of computer science in Information Retrieval from the University of Neuchatel, Switzerland. What is your research focus? Since 2009, my research has focused on the representation and retrieval of texts. I designed and built text analysis tools, low-cost representations, and search engines for datasets of scanned documents and historical manuscripts wherein spelling variations and non-standardized grammar constitute difficult challenges. In addition to multi-lingual information retrieval, I have been working on a new concept that I refer to as Cross-script information retrieval which aims to enable the retrieval of textual content in languages that are alternatively and informally written (transliterated) in Roman script as opposed to their official/native writing systems. Such a representation is very widely used in social media such as Twitter, Facebook, blogs, and text messaging (SMS, IM) in certain languages. The main challenges faced here are the lack of transliteration rules, intuitive spelling and non-standardized abbreviations, dialectal and regional variations of the language, and the sparsity of resources such as thesauri and datasets. What courses/subjects do you teach? Information Retrieval Fundamentals of Computer Science II Discrete Structures : diff --git a/src/data/compiled_bios/5239.txt b/src/data/compiled_bios/5239.txt new file mode 100644 index 0000000000..f89922a513 --- /dev/null +++ b/src/data/compiled_bios/5239.txt @@ -0,0 +1 @@ + Education PhD in Risk Management, MIT MS in Naval Architecture and Marine Engineering, MIT BS in Naval Architecture and Marine Engineering, NTUA School of Engineering Biography Professor Themis Papageorge became the director of Cybersecurity and Information Assurance Employer Relations in 2017. Professor Papageorge is responsible for developing co-op opportunities for program students, managing employer outreach on student performance and expectations, submitting grant proposals and developing collaborative IA/Cybersecurity programs with industrial partners, and teaching IA and Cyber Security courses. From 2009-2017 Professor Papageorge served for 8 years as the director of the Master of Science in Information Assurance and Cyber Security Program responsible for overseeing the program curriculum and introducing the online version worldwide. The MS in Information Assurance and Cyber Security program, now offered both on-campus and online at Northeastern University, is available to an increased number of domestic and international students. He teaches the foundations of information assurance and the security risk management and assessment courses. Professor Papageorges twenty-five years of corporate experience in technology, planning and process, and system redesign included a decade of executive management positions with information assurance and cybersecurity companies. He was vice president of services at Guardium, a leader in real-time database security, auditing, and monitoring. Prior to that, he was vice president of services at Courion, a leader in identity access management, authentication, and security. Professor Papageorge has also held management positions at Digital Equipment Corporation. He received his PhD in risk management and engineering economics from the MIT Sloan School of Management, an MS in naval architecture and marine engineering from MIT, and a BS in naval architecture and marine engineering from National Technical University of Athens, Greece. Hometown Weston, Massachusetts Field of research/teaching Information Assurance and Cybersecurity What is your research focus? For my PhD thesis at MIT, I focused on risk management, including assets, threats, vulnerabilities, and resulting strategic, security, and financial risks. Since then, I have worked in risk management applications development, products, processes, systems, and security controls that manage risks, mitigate losses, and enable effective executive decision making for companies and government agencies. What courses/subjects do you teach? Foundations of Information Assurance Security Risk Management and Assessment What do you enjoy or find most rewarding about what you teach? I enjoy teaching information assurance and cybersecurity courses that prepare and enable our students to pursue rewarding careers, with the goal to become chief information security officers. I teach some of the best and brightest domestic and international students, with diverse backgrounds and experiences, and a strong interest in cybersecurity careers that benefit their lives and society at-large. Where did you grow up or spend your most defining years? I grew up in Athens, Greece and Boston, Massachusetts. Where did you study? I studied at MIT because it offered the programs I was excited about, and I had a strong interest in the leading advanced research available at that institution. I earned my BS at NTUA because it offered outstanding undergraduate teaching and research opportunities. What are the specifics of your industry experience? My experience is in information assurance and cybersecurity throughout the computer and software industry. I have had positions ranging from risk management applications development, to computer product management and marketing, to process and systems re-engineering, to executive management of departments and security companies. : diff --git a/src/data/compiled_bios/524.txt b/src/data/compiled_bios/524.txt new file mode 100644 index 0000000000..b91f83e286 --- /dev/null +++ b/src/data/compiled_bios/524.txt @@ -0,0 +1 @@ +Henry Hoffmann Associate ProfessorDepartment of Computer Science Email: hankhoffmann@cs.uchicago.edu Phone: (773) 702-6614 Office: JCL 341 Website: http://people.cs.uchicago.edu/~hankhoffmann Research: systems diff --git a/src/data/compiled_bios/5240.txt b/src/data/compiled_bios/5240.txt new file mode 100644 index 0000000000..2d2b59e0ee --- /dev/null +++ b/src/data/compiled_bios/5240.txt @@ -0,0 +1 @@ + Research Interests Information Retrieval Machine Learning Algorithms Education PhD, Northeastern University Biography Dr. Virgil Pavlu obtained his PhD in 2008 on Information Retrieval Measures and Evaluation. Dr. Pavlu has several research interests in information retrieval: diversity, learning to rank, metasearch, score distribution models, relevance feedback, etc. Since 2007, he is involved with the SIGIR conference either as a reviewer or an organizer; he was a coordinator of several TREC and NTCIR tracks. Dr. Pavlus current research centers around machine learning algorithms for certain data types, and, in particular, applications to text data: on long text, the extraction and selection of n-grams features; on short text, the discovery, indexing and matching of nuggets for tasks like relevance and novelty. One of his projects addresses the representability of text documents in high dimensional spaces, the study of similarity and distance notions, and the active learning application to crowdsourcing methodologies for obtaining such representation. Hometown Bucharest, Romania Field of research/teaching Data Science What is your educational background? Mathematics was my only field of study until I decided I wanted something more applied. What is your research focus? The research we do evolves with both data collected by different organizations, and with the computational infrastructure available. Sometimes we are problem solvers in a practical sense. What courses/subjects do you teach? Machine Learning Information Retrieval Algorithms : diff --git a/src/data/compiled_bios/5241.txt b/src/data/compiled_bios/5241.txt new file mode 100644 index 0000000000..35b249b194 --- /dev/null +++ b/src/data/compiled_bios/5241.txt @@ -0,0 +1 @@ + Research Interests Databases Artificial Intelligence Bioinformatics Large-Scale Computing Biography John Rachlin is an Assistasnt Teaching Professor in the College of Computer and Information Science. Prior to joining Northeastern, he was a Staff Software Engineer at Fitbit and a Principal Software Engineer at Optum Analytics. At Optum he developed tools and technologies to integrate and analyze patient electronic medical record (EMR) data as part of the companys transition to Hadoop-based distributed computing. He is also the Co-Founder of Diatom, LLC, a software consultancy specializing in bioinformatics, health-care, and big-data solutions. Dr. Rachlin is also an aspiring artist, and enjoys sharing his paintings with family and friends via his gallery website: www.diatomstudio.com. Education PhD in Computer Science, Boston University MS in Computer Science, Johns Hopkins University BA in English and Physics, Cornell University What are the specifics of your educational background? I got my Bachelors of Arts in English and Physics from Cornell University, my Masters of Science in Computer Science from Johns Hopkins University, and my PhD in Computer Science from Boston University. My PhD thesis was on multi-node graphs and their application to bioinformatics. Describes a novel graph-theoretic framework whereby edges are activated or deactivated as a function of the state of their incident vertices. What is your research focus in a bit more detail? Is your current research path what you always had in mind for yourself, or has it evolved somewhat? If so, how/why? My industry career has mainly focused on research in bioinformatics, biological networks, and optimization using evolutionary computing paradigms. In more recent years, I have worked on developing large-scale data processing platforms for applications in health-care informatics. What courses/subjects do you teach? CS 3200: Database Design CS 5200: Database Management Systems DS 4300: Large-Scale Storage and Retrieval CS 1800: Discrete Structures Where did you grow up/spend the most defining years of your childhood/young adulthood? I grew up in Vermont on the shores of Lake Champlain. : diff --git a/src/data/compiled_bios/5242.txt b/src/data/compiled_bios/5242.txt new file mode 100644 index 0000000000..4dcc29d5f9 --- /dev/null +++ b/src/data/compiled_bios/5242.txt @@ -0,0 +1 @@ + Research Interests Intelligent Tutoring Systems Artificial Intelligence Human-Centered Computing Education PhD in Computer Science in Intelligent Tutoring Systems, Worcester Polytechnic Institute Biography Professor Leena Razzaq is an Assistant Teaching Professor at the Northeastern University College of Computer and Information Science. Prior to joining Northeastern, she was a postdoctoral researcher for the Center for Knowledge Communication in the Department of Computer Science at the University of Massachusetts Amherst. Her research has been focused on improving student learning from educational technologies. She has collaborated with researchers in the fields of computer science, cognitive psychology, education, mathematics and psychometrics. Professor Razzaq obtained her PhD in computer science in intelligent tutoring systems at Worcester Polytechnic Institute in 2009. She is an awardee of the Computing Innovations Postdoc Fellowship. Field of research/teaching Fundamentals of Computer Science What is your research focus? My research focuses on improving student learning from educational technologies by studying how to adapt tutoring systems based on student performance. : diff --git a/src/data/compiled_bios/5243.txt b/src/data/compiled_bios/5243.txt new file mode 100644 index 0000000000..e8901a3396 --- /dev/null +++ b/src/data/compiled_bios/5243.txt @@ -0,0 +1 @@ + Education PhD in Computer Science, University of Massachusetts Lowell BSCS, University of Massachusetts Lowell Biography Professor Martin Schedlbauer received his PhD in Computer Science from the University of Massachusetts Lowell in 2006 with a dissertation on modeling human performance during touch interactions with mobile devices in non-stationary environments. Afterwards, he taught information science, computer science, and operations management at the University of Massachusetts Lowell and Suffolk University. He joined the faculty at Northeastern in 2008 and presently serves as the director of the online faculty and online programs. Professor Schedlbauer founded several software and education companies prior to returning to academia. In his spare time, Martin enjoys boating and playing ice hockey. About Me Hometown: Boston, Massachusetts Field of research/teaching: Data and Information Science What is your educational background? PhD in Computer Science, University of Massachusetts Lowell What is your research focus? I conduct research in learning analytics and applied collaborative software development methods. I also have research interests in computer science education. What courses/subjects do you teach? I teach the following: IS1500 Introduction to Web Development IS2000 Principles of Information Science IS3500 Information Systems Design and Development IS4300 Human Computer Interaction IS4500 Software Quality Assurance IS4600 Software Project Management IS4800 Empirical Research IS4900 IS Senior Project DS4100 Data Integration & Analytics CS1100 Computer Science and Its Applications DA5020 Collecting, Storing, and Retrieving Data DA5030 Introduction to Data Mining & Machine Learning What do you enjoy most or find most rewarding about what you teach? I find the most rewarding aspect of teaching to be the collaborative discovery process. Where did you grow up or spend your most defining years? I grew up in Germany. What are the specifics of your industry experience? I started several tech companies including Technology Resource Group, Inc. as a founder, CEO, and CTO, as well as BEA Systems, Inc. as CTO, which is now part of Oracle. : diff --git a/src/data/compiled_bios/5244.txt b/src/data/compiled_bios/5244.txt new file mode 100644 index 0000000000..271adf21fd --- /dev/null +++ b/src/data/compiled_bios/5244.txt @@ -0,0 +1 @@ + Research Interests Graph Algorithms andAlgebraic Graph Theory Combinatorial Algorithms Education PhD in Mathematics, ETH Zrich MS in Mathematics,ETHZrich BS in Mathematics,ETHZrich BS in Physics,ETHZrich Biography Walter Schnyder is an Associate Teaching Professor at Northeastern Universitys College of Computer and Information Science. He earned his PhD from ETHZrich Swiss Federal Institute of Technology. Schnyders research areas include complexity theory and graphs. He has made significant contributions across combinatorial mathematics and theoretical computer science, most notably his namesaketheorem. Schnyders theorem provesthat a graph is planar if and only if the dimension of its incidence poset is at most three. Additionally, Schnydergave the first proof that a planar graph on n vertices could be layed out on a quadratic size grid. Schnyderswork has inspired the research of many other mathematicians and computer scientists and continues to do so today. About Me Hometown: Paris, France and Zrich, Switzerland What is your educational background? I completed high-school studies with the French Baccalaurat in Paris, then returned to Zrich, in my home country of Switzerland, for higher education at ETH (Swiss Federal Institute of Technology) with an initial focus in Physics. I completed my undergraduate studies with a BS in Physics and a BS in Mathematics (after my attention had turned to foundations). This course of studies ended with a MS in Mathematics (focus in logic). I then became interested in Computer Science, attending the Algorithmics seminar of E. Specker and V. Strassen and completed my PhD with the thesis Algorithms for Normal Forms of Graphs. What courses/subjects do you teach? At other institutions I have taught most of the common undergraduate and graduate theory courses, as well as some applied math courses. At Northeastern I teach: CS1800: Discrete Structures CS4800: Algorithms and Data CS5002: Discrete and Data Structures What do you enjoy most or find most rewarding about what you teach? I enjoy interacting with my students. They trust that I am here to help them and thats what I try to do. The topics I teach are often difficult and going through them is a collaborative process. This collaboration often happens in office hours, and there is no more satisfactory conclusion than seeing it succeed and solve the problem that was brought to me. My interaction with students also influences the way I teach. Students at Northeastern are focused and interested. They trust me with the responsibility to be part of their learning experience and while they learn from me, I also learn from them and adjust my teaching accordingly. : diff --git a/src/data/compiled_bios/5245.txt b/src/data/compiled_bios/5245.txt new file mode 100644 index 0000000000..42bdde4b76 --- /dev/null +++ b/src/data/compiled_bios/5245.txt @@ -0,0 +1 @@ + Research Interests Dynamic analysis tools Software visualization Software engineering Education Bachelors of Science, The Ohio State University Masters of Science, Tufts University PhD, Tufts University Biography Mike Shah currently serves as an Assistant Teaching Professor at Northeastern University. While completing his Bachelor of Science at The Ohio State University, he was actively involved in teaching web development, 3D modeling, and game creation to students. His undergraduate research involved using gaming technology to train workers how to handle emergency epidemic scenarios. Shah completed his masters of science and PhD at Tufts University, and spent a great deal of time as a teaching assistant for courses including operating systems, algorithms, graphics, game design, HCI, and Data Structures. He also believes computer science is for everyone, and helped start a series of workshops for graduate students who had not programmed before. Shahs research activity has focused on building tools that make programmers lives easier. This includes building static analysis tools that can hint at bugs, and dynamic analysis tools (e.g. a profiler) that can report performance problems. Shah has also researched and built tools to visualize software to better help software engineers develop and manage large projects. Outside of academics, Shah runs, rock climbs, plays the guitar, and enjoys playing games. Courses taught: CS1802: Discrete Mathematics CS5340: Human Computer Interaction CS3650: Computer Systems : diff --git a/src/data/compiled_bios/5246.txt b/src/data/compiled_bios/5246.txt new file mode 100644 index 0000000000..4de4919fd4 --- /dev/null +++ b/src/data/compiled_bios/5246.txt @@ -0,0 +1 @@ + Education PhD in Computer Science, University of Minnesota, Twin Cities Masterof Computer Science, University of Minnesota, Twin Cities Bachelor in Computer Technology, Veermata Jijabai Technological Institute, University of Mumbai, India Biography Professor Amit Shesh is an Associate Teaching Professor at Northeastern Universitys College of Computer and Information Science. He holds a PhD and Masterof Computer Science from the University of Minnesota, as well as a Bachelors in Computer Technology from the University of Mumbai, India. Prof. Sheshs research includes problems of visual computing and the use of graphics in computer science education. Hometown Nagpur, India Field of research/teaching Computer graphics, computer science education What is your educational background? I received my PhD and Masterof Computer Science from the University of Minnesota, Twin Cities and my Bachelor in Computer Technology from Veermata Jijabai Technological Institute, which is affiliated with the University of Mumbai in India. I was fortunate to go to college with an interest in computer science and to quickly find myself correct. I entered a masters program because I was interested in further study. I pursued a PhD largely because it was necessary to become a professor, which is what I wanted to be. What is your research focus? I am interested in problems related to computer graphics with an everyday, non-technical user base. I devise algorithms that solve problems related to visual computing, using intuitive and smart interactivity. Problems that interest me target users who do not possess specialized hardware, expertise in 3D modeling tasks, or the motivation to devote significant time to it. This is the 3D equivalent of amateur photographers, who possess capable digital cameras and are very interested in producing good image effects, but are not motivated to learn Photoshop. My PhD dissertation was in the area of sketch-based modeling. Of late, I am increasingly interested in how and whether multi-modal interactivity, often made possible by mobile smart devices, can be used to solve 3D modeling and visualization problems faster. Over the years, I have developed an interest in computer science education. My research interests in this area relate to being an instructor of computer science. Specifically, I am interested in investigating the use of computer graphics as a medium and tool to increase interest in and facilitate STEM education. What courses/subjects do you teach? During my teaching career, I have taught a wide variety of computer science courses. The courses I most enjoy teaching are programming-intensive courses. I enjoy teaching computer graphics as it relates to my passion and area of research. What do you enjoy most or find most rewarding about what you teach? Teaching is a therapeutic experience for me. I derive great pleasure in presenting the same topic from different viewpoints, so that my students may understand it better. Among all my duties as a computer science academic, instruction provides me with the most instant gratification, coming in the form of students feedback, grades, and increased knowledge. Although I do not have a favorite set of students, I find that teaching B or C graded students is very satisfying, because students in these groups are often eager to improve. I like students who ask me questions, especially when they ask me questions which I cannot immediately answer. That indicates their genuine interest and effort to understand the material. : diff --git a/src/data/compiled_bios/5247.txt b/src/data/compiled_bios/5247.txt new file mode 100644 index 0000000000..cd435a0afa --- /dev/null +++ b/src/data/compiled_bios/5247.txt @@ -0,0 +1 @@ + Research Interests Attribute based access control IoT communications protection Technology innovations in Cyber Threats and Cyber Defenses Education PhD in Computer Science, Carlos III University of Madrid Spain MSc in Computer Science, Mlaga University Spain MSc in Business Administration,Rey Juan Carlos University Spain Applied Cyber Security, MIT Professional Education Massachusetts Institute of Technology Biography Jose Sierra is an Associate Teaching Professor and Associate Director of Information Assurance and Cybersecurity Program at the College of Computer and Information Science. He earned his PhD at Carlos III University in 2000. Joses research areas include Authentication and Access control protocols, mobile payments protection, lightweight cryptographic protocols and IoT security. He has a very active publication record, with an important number of conference proceedings and journal papers. During his academic career, he has had the opportunity to research and work at several universities, such as the British Bradford and Westminster, to well-established US ones like UC Berkeley and MIT. What are the specifics of your educational background? My education has been focused on Computer Science: in this field I achieved my MSc degree in 1997, joining after that as a Research Assistant the Pontificia de Comillas University in Madrid. Parallel to that, I began my PhD on Internet Security Protocols at the Carlos III University, until 2000 when I obtained my doctoral thesis with honors. In 2003, in order to complement my technical background, I took a MSc in Business Administration at the Rey Juan Carlos University, culminating it in 2005. More recently, for personal interests, I was granted two professional certifications in Cyber Security: Certified Information Systems Security Professional (CISSP) and Certified Information Security Manager (CISM) What are your research interests? My research interests have been centered on the design, implementation and management of security services for interconnected systems. Initially, my research was based on the foundations of some cryptographic algorithms and later focused on their use for the implementation of security protocols. In recent years my research has evolved to cybersecurity management and how organizations can take strategic decisions, which will help them to counteract cyberthreats. This is the case of remote authentication protocols, where I developed new protocols and schemes applicable to electronic payment. Other areas with remarkable results were Vehicular Ad-Hoc Networks (VANETs) protection, P2PSIP security architecture and low-performance computing devices used in Wireless Sensor Networks. My research work in the validation and evaluation of security protocols triggered the creation of my research group: the EVALUES IT Security Laboratory ( evalues.es ). On this subject, my work evolved from formal validation logics for security protocols to assessment methodologies for commercial implementations of IPSEC architecture. In 2007, I led a team researchers to created the IPSEC Evaluation Methodology, which is used to determine conformance and security levels for IPSEC VPN implementations. Where did you spend your most defining years? During my doctoral thesis, besides my home university, I developed some of my research at two British universities: at Bradford University I studied my thesis cryptographic aspects and at Westminster my work was mainly centered on the analysis of the interconnected information systems emerging threats. In 2000, I was awarded with a fellowship grant of the International Computer Science Institute (University of California Berkeley), which I consider the most relevant research stay in my career. The work carried out at Berkeley was motivated by the analysis and design of Authentication, Authorization and Accountability protocols (AAA). In 2010, after ten years as an Associate Professor, I attained a postdoctoral research stay at the Computer Science and Artificial Intelligence Laboratory (CSAIL) at (MIT). My role at MIT involved the design of security protocols for Implantable Medical Devices (IMD). My research was conducted at the International Computer Science Institute at UC Berkeley. What are the specifics of your industry experience? Throughout my career, I enjoyed a tight relationship with the several Industries. I have had the opportunity of participating and lead several R&D projects for different sectors (last 5 years): Aero Spatial Defense Sector . Innovative AAA System for Interoperable Distributed Architectures. Design and implementation of a Security Compliance Accreditation plan for Defense Simulation Laboratory. Design and implementation of a Secure Communication library for ground systems data synchronization. Development of Smartcard based Identification and Authentication System for multiplatform ground systems. National & European founded research . Advances for the city of the future: sustainable, smart and efficient. WP1 Security Architecture ( Ciudad 2020 ) Smart Robot Security. WP6 Access control and Authorization for Internet of the Things. ( Smoty ) HiTec & Telecom Providers . Security Architecture for a Supply Chain Management System based on Block-Chain CLOUD-PKI: Cloud Certification services based on HSM cryptography module. Android Software Security Evaluation : diff --git a/src/data/compiled_bios/5248.txt b/src/data/compiled_bios/5248.txt new file mode 100644 index 0000000000..115ab04a7d --- /dev/null +++ b/src/data/compiled_bios/5248.txt @@ -0,0 +1 @@ + Research Interests Personal Health Informatics Mobile App Design & Development Information Visualization Education PhD in Computer Science and Engineering, University of Washington MA in Learning, Design and Technology, Stanford University BSCS, Massachusetts Institute of Technology Biography ProfessorSlaughter holds a BS in Computer Science from the Massachusetts Institute of Technology, an MA in Learning, Design and Technology from Stanford University and a PhD in Computer Science and Engineering from the University of Washington. Previous to Northeastern, Slaughter worked at multiple startups and spent many years at Pacific Northwest National Laboratory. She has also spent time at MSR, Intel Research Seattle, and Mitsubishi Electric Research Laboratory (MERL). Her work has straddled the areas of human-computer interaction, ubiquitous computing and mobile devices, user research, and data science. : diff --git a/src/data/compiled_bios/5249.txt b/src/data/compiled_bios/5249.txt new file mode 100644 index 0000000000..e6448b0524 --- /dev/null +++ b/src/data/compiled_bios/5249.txt @@ -0,0 +1 @@ + Biography Jay Spitulnik is an associate director at Northeastern Universitys College of Computer and Information Science. He brings a wealth of experience from corporate learning and the healthcare industry to CCIS. Jay earned his BA and MEd from Boston University and is working toward a PhD in Organizational Psychology which focuses on physician-allied health professional interaction. Education EdM in Educational Media and Technology, Boston University BA in Philosophy, Boston University Hometown Northborough, MA Field of research/teaching Project Management, organizational behavior, statistics What are the specifics of your educational background? At Boston University, I earned my BA in Philosophy and my EdM in Educational Media and Technology with a focus on instructional design and adult learning. I am currently working on a dissertation for PhD in Organizational Psychology, entitled Physician Collaboration and Improving Health Care Team Patient Safety Culture: A Quantitative Approach. What is your research focus in more detail? Is your current research path what you always had in mind for yourself, or has it evolved? My research focus evolved as a result of ten years of organization development and project management experience in the healthcare industry. I discovered that a great deal of attention was given to how the physician-nurse relationship affected patient outcomes and the patient experience, but there was very little research concerning physician relationships with other members of the care team. What courses/subjects do you teach? Project Management Statistics for Health Science Health Informatics Capstone Project What do you find most rewarding about what you teach? I enjoy the ah-ha moments when students begin to realize the impact that their learning can have on their working life. Where did you grow up or spend your most defining years? I grew up in Hornell, New York, a small town in the Finger Lakes/Southern Tier region of New York. I lived there until I left for college at eighteen. Where did you study? Any reason in particular behind your choice? My first two degrees were from Boston University. I went to BU because I wanted to be in Boston. What are the specifics of your industry experience? I have more than thirty-five years of experience in the field of individual and organizational learning in the corporate world. I have been an individual contributor, a manager, and both an internal and external consultant. The work that led me to Northeastern was more than ten years working in the healthcare industry, including extensive experience managing IT projects and consulting with IT project managers. : diff --git a/src/data/compiled_bios/525.txt b/src/data/compiled_bios/525.txt new file mode 100644 index 0000000000..c3c4c2337e --- /dev/null +++ b/src/data/compiled_bios/525.txt @@ -0,0 +1 @@ +Ian Foster Arthur Holly Compton Distinguished Service ProfessorDepartment of Computer Science Distinguished Fellow, MCS Division, Argonne Senior Scientist, MCS Division, Argonne Email: foster@cs.uchicago.edu Phone: (773) 702-3487 Office: JCL 301 Website: http://people.cs.uchicago.edu/~foster Research: systems Research In my research, I seek to develop tools and techniques that allow people to use high-performance computing technologies to do qualitatively new things. This involves investigations of parallel and distributed languages, algorithms, and communication; and also focused work on applications. I am particularly interested in using high-performance networking to incorporate remote compute and information resources into local computational environments. Projects ASCI Flash Globus Laboratories Distributed Systems Laboratory diff --git a/src/data/compiled_bios/5250.txt b/src/data/compiled_bios/5250.txt new file mode 100644 index 0000000000..534404a001 --- /dev/null +++ b/src/data/compiled_bios/5250.txt @@ -0,0 +1 @@ + Education PhD in Computer Science, University of Victoria MS in Computer Science, University of British Columbia, Vancouver BS in Computer Science/Psychology, Queens University BS in Biology and Psychology, Queens University Biography ProfessorDavid Sprague received his PhD in Computer Science from the University of Victoria in 2011, where his research explored how visualizations are used in casual or non-work contexts. Prior to this, he studied human-computer interaction at the University of British Columbias Imager Lab, where he received his MS. Prof. Spragues undergraduate degrees from Queens University are in biology/psychology and computer science. He has taught at the University of British Columbia and has been a user interface designer and developer at CD-adapco and Google. His research interests include casual information visualizations, InfoVis aesthetics, human factors associated with virtual reality, human-computer interaction, and educational games. Hometown St. Johns, Newfoundland, Canada Field of research/teaching Human-computer interaction, Visualization What is your educational background? I planned to become a medical doctor like my father, doggedly, and somewhat unsuccessfully, working away on a biology/psychology combined major. In my final undergraduate year, I took an introductory computer science course as an elective and discovered a science that I was not only good at but also one that truly excited me. Since then, Ive combined these two degrees to explore human-computer interaction. I looked at human factors influencing motor tasks in virtual reality for my MS, and for my PhD, I wanted to explore the recent emergence of so-called casual visualizations. Even in 2006, I felt that we were inundated with massive amounts of data and that many people may find it beneficial to explore and analyze it for fun, personal growth, or a hobby. Others might use visualizations just to cope with the deluge of information we regularly experience. My dissertation looked at human factors surrounding visualizations used in casual contexts. What is your research focus? Im currently focusing on lecturing, which is the original reason I set out to earn my PhD. Although I love visualization research, and despite some potential side projects on the horizon, I always wanted to focus on teaching undergraduates. Ive had some inspirationalcomputer scienceinstructors during my studies and I hope that I can get others interested in our field. What courses/subjects do you teach? Currently I teach: CS 1800 Discrete Structures CS 2800 Logic & Computation IS 4300 HCI What do you enjoy most or find most rewarding about what you teach? Im always amazed at the caliber of students we have at Northeastern. Its extremely rewarding to teach such intelligent and motivated students, but its even more satisfying seeing them fall in love withcomputer sciencethe way I did. : diff --git a/src/data/compiled_bios/5251.txt b/src/data/compiled_bios/5251.txt new file mode 100644 index 0000000000..81850f58b9 --- /dev/null +++ b/src/data/compiled_bios/5251.txt @@ -0,0 +1 @@ + Biography Dr. Laney Strange is an Associate Teaching Professor at Northeastern University. Shes in her sixth year of full-time teaching, and brand new to her current school. In addition to her position at Northeastern, Laney is a passionate advocate for underrepresented groups in computer science, and a typical Saturday morning will find her teaching Womens Community of Code programming workshops that empower girls, women, and even local Girl Scout troops. Education BS in Computer Science, Simmons College PhD in Computer Science, Dartmouth College About me Field of research/teaching: Encouraging Members of Underrepresented Groups in Computer Science What is your research focus in a bit more detail? Is your current research path what you always had in mind for yourself, or has it evolved somewhat? If so, how/why? Teaching professor; no active research! What courses/subjects do you teach? I teach all over the undergraduate curriculum, as well as in the ALIGN program, a masters degree for students who have a Bachelors in a field other than computer science. Where did you grow up/spend the most defining years of your childhood/young adulthood? My husband and I both had non-traditional college experiences. We went to college after we got married (me in my twenties, Tom in his forties), and while holding down regular jobs. So if you ever feel like you came to computer science late, I am right there with you. And it doesnt matter I belong here, and so do you. Where did you study? Any reason in particular behind your choice (a program you were excited about, a city you love, a researcher you wanted to work with)? My first exposure to computer science came my freshman year of college, when I randomly signed up for the intro class. I ended up majoring in it, and going on to grad school, because I loved it but mostly because I had an amazing teacher. Now, my whole goal in life is to try to be that teacher for someone else. What are the specifics of your industry experience? From grad school, I went into industry. I was a senior software engineer for Amazon.coms search team, at their A9 subsidiary in Palo Alto. I worked on all kinds of projects related to search, including the spelling correction engine, query completion, generating synonyms, and many more. After Amazon, I was Product Director for an international nonprofit organization called TechSoup Global. The organization was just starting to build their software engineering team when I came on board, and we built software for social change instigators all over the world. : diff --git a/src/data/compiled_bios/5252.txt b/src/data/compiled_bios/5252.txt new file mode 100644 index 0000000000..0a7cebdf62 --- /dev/null +++ b/src/data/compiled_bios/5252.txt @@ -0,0 +1 @@ + Research Interests ProfessorNathaniel Tucks current research interests include further work on parallel programming systems and the internet security usability problem of secure distributed identities. Education PhD in Computer Science, University of Massachusetts, Lowell BSCS, University of Massachusetts, Lowell Biography ProfessorTuck received his PhD in Computer Science from UMass Lowell with a dissertation on compiler optimizations for data-parallel compute kernels. As a graduate student, he worked on a variety of projects related to parallel processing, mobile robotics, and automatic grading forcomputer scienceprogramming assignments. His current research interests include further work on parallel programming systems and the internet security usability problem of secure distributed identities. Field of research/teaching Parallel Programming; Systems What is your educational background? Nat Tuck received his PhD in Computer Science from UMass Lowell in 2015 with a dissertation on compiler optimizations for data-parallel compute kernels. As a graduate student, he worked on a variety of projects related to parallel processing, mobile robotics, and automatic grading forcomputer scienceprogramming assignments. What courses/subjects do you teach? Fundamentals 1 Parallel Data Processing with Map Reduce What are the specifics of your industry experience? I was downsized during the dot-com bust and subsequently worked as a web development consultant off and on for years before I went to college for computer science. : diff --git a/src/data/compiled_bios/5253.txt b/src/data/compiled_bios/5253.txt new file mode 100644 index 0000000000..c03be79c99 --- /dev/null +++ b/src/data/compiled_bios/5253.txt @@ -0,0 +1 @@ + Education PhD in Computer Science, Ohio State University MS in Computer Science, Ohio State University BS, Denison University Biography Michael Weintraub came to CCIS after more than a twenty year career at Verizon/GTE Laboratories as both an executive and technologist. Most recently, he worked on data center and cloud computing architecture, design, and development. Prior to that, Mike worked in various roles throughout technology focusing on the application of innovation to drive new services. He led the design and development of Verizons Digital Media Services platform. Mike helped establish the LTE Innovation Center facility in Waltham. He developed application layer architectures and service opportunities for the small business market and real-time communications. At GTE Labs, Michael worked on application developments such as building a next generation application server that ran over a VoIP softswitch, operations support systems for provisioning and accounting of GTE Internetworkings IP-based communications services, and a management system for provisioning outside plant facilities inventory. Michael contributed to the GTE PCS auction team by co-developing a computer simulation of what was then a novel type of auction. In addition, he led several facility constructions, netting him several hard hats and a burgeoning interest in architecture, human dynamics, and data center design. Michael earned his MS and PhD in Computer Science from The Ohio State University. He specialized in machine learning and expert systems, with his work being applied to developing an expert system for analyzing human gait. He earned his BS from Denison University and is a senior member of the ACM and the IEEE. He has earned several patents. About Me Hometown: Cincinnati Field of research/teaching: Software engineering What is your educational background? I earned my BS from Denison University and my MS and PhD from Ohio State University. I also received a Certificate in Management and Leadership from the Massachusetts Institute of Technology. What is your research focus? Virtualization, system design, new application design, networks, technology decision making What courses/subjects do you teach? CS 4500 CS 5500 What do you find most rewarding about what you teach? Is there anything notable or unique about the kind of students that you teach? What I find rewarding is seeing students grasp an idea and then come up with something even better. I like how they look at things in new and unfiltered ways. Where did you grow up or spend yourmost defining years? Cincinnati, OH Where did you study? Any reason in particular behind your choice? I studied at a small liberal arts school in central Ohio, thinking Id pursue law or maybe medicine. My Dad told me to take lots of math and I actually listened. At Denison, CS is part of the Math Department, and thats where I got introduced to Comp Sci, ending up with CS and Math degrees. Circumstances led me to graduate study at Ohio State. I tried a few areas graphics, distributed systems before settling on AI, specifically expert systems and machine learning, and enjoyed working with doctors on medical decision making systems. I built a system for analyzing the gait of patients with cerebral palsy and strokes, which aimed to help clinicians better diagnose problems to determine more effective therapies. What isyour industry experience? I spent twenty-three years in the telecommunications industry. : diff --git a/src/data/compiled_bios/5254.txt b/src/data/compiled_bios/5254.txt new file mode 100644 index 0000000000..313988854a --- /dev/null +++ b/src/data/compiled_bios/5254.txt @@ -0,0 +1 @@ + Research Interests Algorithms Combinatorial optimization Education PhD in Computer Science, Princeton University BA in Computer Science and Mathematics, Cornell University Biography Neal has been a professor of Computer Science at University of California Riverside since 2004. Before that he worked at Akamai Technologies (1999-2004), was an assistant professor at Dartmouth College (1995-1999), and did postdocs at AT&T Bell Labs (Mathematical Foundations of Computing), Cornell ORIE, and University of Maryland (UMIACS). Hometown West Lafayette, Indiana What is your research focus? My research focuses on approximation algorithms for combinatorial optimization, including Lagrangian-relaxation algorithms for large-scale linear programming, online algorithms for caching and data management, and approximation algorithms for NP-hard problems. : diff --git a/src/data/compiled_bios/5255.txt b/src/data/compiled_bios/5255.txt new file mode 100644 index 0000000000..9aa1432786 --- /dev/null +++ b/src/data/compiled_bios/5255.txt @@ -0,0 +1 @@ + Education MS, Boston University BS, University of Massachusetts at Amherst Biography Steve Abramson is a Technical Architect/Manager for Harman International Inc.. developing software in the Internet of Things (IOT) space. Prior to Harman, Steve was Director of Software Engineering at BizSlate, Inc., a cloud-based inventory management solution. Steve has also held several architect and development roles delivering, scalable, reliable and secure cloud-based systems for both private industry and academia. In addition, he co-developed a mobile consumer application deployed on the Android and iOS operating systems. He received his Masters of Science degree in computer science from Boston University and his Bachelors of Science degree in electrical engineering from the University of Massachusetts at Amherst. About Me Hometown: Framingham, MA What are the specifics of your educational background? MSCS with Concentration in Object Oriented Programming, Boston University, 1998 BSEE with Minor in Applied Mathematics, University of Massachusetts at Amherst 1989 What are your research interests? My research is focused on innovative cloud-based solutions incorporating reliability, scalability and security. What courses do you teach? IA5004 Introduction to Cyberspace Programming I IA5040 Introduction to Cyberspace Programming II This course offers an introduction to the Python and C programming languages. Where did you grow up or spend your most defining years? I grew up in Sharon, Massachusetts. Where did you study? I decided to study at Boston University and University of Massachusetts,Amherst. They were both close to home, family and work. What are the specifics of your industry experience? I have spent several years as a software developer, software architect, software consultant and director of software teams. I have broad experience in the software development process, especially (over the past 10 years) in cloud based solutions. I have been certified as an Amazon Web Services Solutions Architect. : diff --git a/src/data/compiled_bios/5256.txt b/src/data/compiled_bios/5256.txt new file mode 100644 index 0000000000..9dfd111380 --- /dev/null +++ b/src/data/compiled_bios/5256.txt @@ -0,0 +1 @@ + Education PhD in Computer Science, University of Notre Dame MSCS, University of Notre Dame BSCS, Midwestern State University, Texas Biography Everaldo Aguiar is a Part-Time Lecturer at in the College of Computer and Information Science at Northeastern Universitys Seattle campus. He received his PhD from the University of Notre Dame, where he was affiliated with the Interdisciplinary Center for Network Science & Applications. His PhD research focused on the development, deployment and evaluation of machine learning models to detect, ahead of time, students that may be at risk of underachieving their academic goals. He was a fellow at the Eric & Wendy Schmidt Data Science for Social Good Fellowship, and a visiting researcher at the Center for Data Science and Public Policy at the University of Chicago, where through a variety of partnerships with large school districts, he was able to incorporate his predictive models to early warning systems that continuously monitor hundreds of thousands of students, informing educators when individual attention to a particular student may be needed. He now works as a Data Scientist at Concur Technologies, where his research work is being leveraged and applied to highly complex and extremely large datasets. Some of his recent projects involved the development of predictive models that extract important token values from receipt images, and lightweight machine learning approaches to matching receipt images to their corresponding credit card feeds in real time. What are your research interests? In graduate school, my initial research focus was in the area of Computer Security, where I spent sometime investigating potential threats to new cloud computing paradigms as well as protocols for secure multiparty computation. I later moved on to what became my main research focus, the field of Learning Analytics. I have multiple conference and journal publications pertaining to work that involved the application of advanced machine learning techniques to pressing issues in the field of education, both secondary and post-secondary. What do you find most rewarding about what you teach? Data Mining and Machine Learning techniques are very general and can be applied to any problem that produces or consumes data. Learning these techniques becomes extremely fun once students begin to identify interesting problems that can readily tackled by them. While industry professionals have been making use of these algorithms for a while now, because several easy-to-use implementations continue to be made available every day, anyone can now put machine learning to use on problems that personally excite them. Where did you grow up or spend your most defining years? I grew up in my hometown of Joo Pessoa, on the east coast of Brazil, where I also attended high school and began my college career. An opportunity came for me to complete my computer science degree in the United States and nearly 10 years later, and I am still here. What are the specifics of your industry experience? I now work as a Data Scientist at Concur Technologies, in Bellevue WA. Concur provides travel and expense management solutions to dozens of thousands of clients world wide, and our data science team is responsible for various research projects that leverage the huge amount of data our costumers produce every second, converting that information into actionable products that enhance their experience. Where did you study? I was fortunate to meet my phenomenal undergraduate advisor (Dr. Nelson Passos) at Midwestern State University in Texas, and it was that connection (and the reasonable out-of-state tuition rates) that brought me to Texas. Following my undergraduate I immediately enrolled to the PhD program at the University of Notre Dame in Indiana, which was Prof. Passos Alma Mater. My first visit to Notre Dames beautiful campus was sufficient to convince me that I would like to spend my graduate school years there. : diff --git a/src/data/compiled_bios/5257.txt b/src/data/compiled_bios/5257.txt new file mode 100644 index 0000000000..0a4d78da89 --- /dev/null +++ b/src/data/compiled_bios/5257.txt @@ -0,0 +1 @@ + Education BS, Computer Science, University of Karachi Pakistan. MS, Computer Engineering, Kyung Hee University South Korea PhD, Tufts University About Me Hometown: Karachi, Pakistan Field of Research/Teaching:Applied Machine Learning What is your research focus in a bit more detail? Is your current research path what you always had in mind for yourself, or has it evolved somewhat? If so, how/why? My research interests include pattern recognition in complex medical data such as images and signals. The projects that I have worked on include lung nodule detection in frontal chest radiographs and detecting abnormal cortical regions in MRIs of cryptogenic epilepsy patients. In addition, I am also interested in timeseries pattern mining, image retrieval, and graphical models. What courses/subjects do you teach? Machine Learning Numerical Computing Pattern Recognition What are the specifics of your industry experience? I currently work as a data scientist in the industry. The focus of my work is pattern recognition and event detection from vehicle telematics data. : diff --git a/src/data/compiled_bios/5258.txt b/src/data/compiled_bios/5258.txt new file mode 100644 index 0000000000..789af332c9 --- /dev/null +++ b/src/data/compiled_bios/5258.txt @@ -0,0 +1 @@ + Education PhD in Computer Science, University of California, Davis MSc in Computer Science, Virginia Tech MSc in Computer Science, University of Chile Chile Biography Omar is a Principal Data Scientist Lead at Microsoft in Silicon Valley where he works on the intersection of social media, temporal information, knowledge graphs, and human computation. He is the co-organizer of DESIRES, a new information retrieval conference with a focus on system implementation and experimental design (http://desires.dei.unipd.it/). He is also co-chair of the crowdsourcing and human computation track for WWW 2019. He holds a PhD from the University of California at Davis and an undergraduate degree from UNICEN, Argentina. Field of research/teaching Information Retrieval What is your educational background? My academic background is on information retrieval and related topics like databases, social media, information visualization, and experimentation. What is your research focus? My research has focused on investigating information retrieval techniques for social data at scale. Another area of research is label quality and the practice of designing and implementing hybrid human-machine systems, topics that I cover on a forthcoming book. Read More Less : diff --git a/src/data/compiled_bios/5259.txt b/src/data/compiled_bios/5259.txt new file mode 100644 index 0000000000..56de9c7c8f --- /dev/null +++ b/src/data/compiled_bios/5259.txt @@ -0,0 +1 @@ + Education MS in Computer Science, Northeastern University BS in Computer Science, Worcester Polytechnic Institute Biography Kevin Amorin is an Engineering Director at BitSight, where he is responsible for delivering their cyber risk rating platform. He has more than fifteen years of industry experience, including organizations such as Microsoft, Motorola, as well as seven years as the network security manager at Harvard Kennedy School. Kevin received his MS degree in computer science from Northeastern Universitys College of Computer and Information Science, where he now teaches as a part-time lecturer. Since 2008, Kevin has been the coach and advisor to the Northeastern Cyber Defense team. The team competes in the Collegiate Cyber Defense Competition, a three-day annual event designed to help students sharpen their skills and boost their knowledge for administering and protecting a large corporate network. The Northeastern team won the northeast regional competition three times and won the 2010 national title against over eighty universities. Hometown Attleboro, MA Field of research/teaching Network Security What are the specifics of your educational background? I received my BS in Computer Science from Worcester Polytechnic Institute and my MS in Computer Science from Northeastern University. What courses/subjects do you teach? Information Assurance, System & Networks, Network Security Practices : diff --git a/src/data/compiled_bios/526.txt b/src/data/compiled_bios/526.txt new file mode 100644 index 0000000000..51db232619 --- /dev/null +++ b/src/data/compiled_bios/526.txt @@ -0,0 +1 @@ +Janos Simon ProfessorDepartment of Computer Science Email: simon@cs.uchicago.edu Phone: (773) 702-3488 Office: JCL 337 Website: http://people.cs.uchicago.edu/~simon Research: theory Research My main research area is computational complexity -- estimating the amount of resources (such as memory, time, number of algebraic operations, or interprocess communication) that are needed to compute functions. One tries to get good upper bounds by exhibiting efficient algorithms and to develop mathematical methods to prove lower bounds. I am especially interested in lower bound techniques for parallel and for probabilistic models. I am also interested in dstributed computing, especially in fault tolerant distributed computations. diff --git a/src/data/compiled_bios/5260.txt b/src/data/compiled_bios/5260.txt new file mode 100644 index 0000000000..01a9d88aa8 --- /dev/null +++ b/src/data/compiled_bios/5260.txt @@ -0,0 +1 @@ + Research Interests Data Science Machine Learning Fault tolerance I/O in High performance computing systems Education PhD in Computer Science,Indian Institute of Science Bangalore, India MSCS, Indian Institute of Science Bangalore, India BE in Electronics and Machine Learning, UVCE Bangalore, India Biography Professor Sara Arunagiri is a member of the Research and Teaching Faculty at Northeastern Universitys College of Computer and Information Science, focusing her expertise on data science and machine learning. She earned her Bachelors of Engineering degree in Electronics and Communications from the University Visvesvaraya College of Engineering, and her Masters and PhD from the Indian Institute of Science. Sara is a versatile professional with over 15 years of experience working in industry and academia. The industrial projects were ethno social in nature involving leading edge technologies and interactions with diverse groups of people. In academia, as a research faculty working in the areas of high performance computing, she served as a graduate committee member for thirteen graduate students and as a co-advisor for six masters students and one doctoral student. She has won grants worth nearly 1.5 million dollars. Hometown Bangalore, India Field of research/teaching Data science and machine learning. What is your research focus? My current focus is in data science and machine learning. However, I have been versatile in my career path. My first few jobs had a strong social component where I worked with diverse groups of people to help them assimilate modern technological developments. Then I moved to performance issues of high performance computing systems before I embarked into data science. : diff --git a/src/data/compiled_bios/5261.txt b/src/data/compiled_bios/5261.txt new file mode 100644 index 0000000000..df1070ffb3 --- /dev/null +++ b/src/data/compiled_bios/5261.txt @@ -0,0 +1 @@ + Research Interests Operating Systems High Performance Computing and related areas. Education PhD in Computer Science, Northeastern University BSc in Computer Science, Jai Narain Vyas University, Jodhpur Biography Kapil received his PhD in Computer Science from Northeastern University in 2014. Prior to that he received his Bachelors of Science in Computer Science fromJai Narain Vyas University in his hometown of Jodhpur. Kapil is a Distributed Systems Engineer at Mesosphere, Inc., where he contributes to the Apache Mesos and DC/OS projects. The Apache Mesos project is an open source project for managing computer clusters. About me Hometown Jodhpur, India What is your research focus? My research focuses on providing fault-tolerance for high-performance computing. The DMTCP checkpointing project is the most widely-used tool for transparently checkpointing the state of a distributed program spread across many machines without modifying the users program or the operating system kernel. What courses do you teach? CS3650 Computer Systems : diff --git a/src/data/compiled_bios/5262.txt b/src/data/compiled_bios/5262.txt new file mode 100644 index 0000000000..3e15108df9 --- /dev/null +++ b/src/data/compiled_bios/5262.txt @@ -0,0 +1 @@ + Education MS in Information Systems, Northeastern University MSW in Group Work and Community Organizing, Boston university BA in Communication, McGill University Certificate of Graphic Design, School of the Museum of Fine Arts Boston Biography Kay Corry Aubrey is a UX/usability consultant and trainer who shows her customers how to make their products more easily understandable to ordinary people. Kays clients have included The Broad Institute, The Mayo Clinic, Massachusetts Medical Society, iRobot, Reebok/BOKS, and the Center for Connected Health. Kay lectures in usability and design for Northeastern University. Kay has an MSW from Boston Universitys School of Social Work, an MS in information systems from Northeastern Universitys Graduate School of Engineering, and a BA from McGill University. She is a feature editor for the QRCA VIEWS magazine, a qualitative research journal, and a RIVA-certified Master Moderator and Trainer. About Me Hometown: Bedford, MA Field of Research/Teaching:Usability Research, User Experience Research, Qualitative Research What is your research focus in a bit more detail? My research focus is very practical. Here are some examples of research projects I have recently completed with Boston-area organizations: AT&T Unified Communications Usability testing and accessibility review for desktop and mobile versions Commonwealth of Massachusetts, Department of Transportation/MassTRAC Focus group moderation, usability studies, and accessibility review with police officers to improve a GIS-based system that overlays crime and crash data to improve public safety Constant Contact Field studies and focus groups with small business owners to provide insights for improving integration of social media into newsletter design iRobot Corporation Usability review and prototyping of Roomba user interface Oracle Corporation, Pharmaceuticals user research and user interface design of a secure portal to manage data collection, analysis and reporting of clinical trial data What courses do you teach? HINF6345: Design for Usability in Healthcare What do you enjoy most/find most rewarding about what you teach? Is there anything notable or unique about the kind of students that you teach? My teaching is very practical and hands-on. I enjoy teaching mid-career professionals user research techniques that they can apply to the technology and systems they create. Where did you grow up/spend the most defining years of your childhood/young adulthood? I grew up in Ballardvale Massachusetts, which is a section of Andover. I went to Saint Augustines School, then to Andover Junior High and graduated from Andover High School in the early 70s. I think I was most affected by the time in which I grew up. As a little kid I remember duck and hide drills during the Cuban Missile Crisis, the day that Kennedy was shot as well as the day his brother and Martin Luther King were shot. As a young teenager I witnessed the Beatles on Ed Sullivan, the nightly horror of Vietnam and the race riots on TV as well as watching Neil Armstrong walking on the moon while saying one small step for man one giant step for mankind. Boy, that was an exciting time to be young and I am so glad that I am of that era. Where did you study? Any reason in particular behind your choice (a program you were excited about, a city you love, a researcher you wanted to work with)? I had to pay for college myself so I spent my freshman year at UMass Boston. Then I transferred to McGill University in Montreal and graduated from there in the mid-1970s. Tuition at McGill (including room and board with maid service) was $2,000 a year which I earned working summers as a waitress at Valles Steak House on rt. 93 in Andover, which I believe now is Le Chateau. I spent part of my senior year of college at the University of Puerto Rico. One of my goals in college was to become fluent in Spanish and French which is why I chose Montreal and Puerto Rico, plus I was a pretty adventuresome kid. I really loved living in Montreal. My mother was French Canadian so I also had that connection. After graduation I worked in human services for several years and then went to Boston University School of Social Work where I focused on social research and community organizing. I stayed in the social work field until I was in my late twenties and had an opportunity to switch careers via the Women in Engineering program at Northeastern. This is how I made the switch into technology. I graduated from NU with a Masters in Information Systems and worked as a programmer for several years. While at Lotus Development Corporation in the early 80s I had a chance to become a product designer and have stayed in this field ever since. The type of product design I did is now called User Experience Design and a large component of UX is research oriented, where you leverage qualitative and quantitative methods to learn about end users, their tasks, their needs and how to apply these insights to the design of products. I guess my career progression makes perfect sense in retrospect! What are the specifics of your industry experience? I have taught at Northeastern University since the late 90s, always in a professional development area. I have worked in User Experience/UX/usability for about 25 years for a variety of organizations. I work both independently and under contract. Currently I have been at iRobot as a UX Researcher for a little over a year and a half. : diff --git a/src/data/compiled_bios/5263.txt b/src/data/compiled_bios/5263.txt new file mode 100644 index 0000000000..1dff783a3c --- /dev/null +++ b/src/data/compiled_bios/5263.txt @@ -0,0 +1 @@ + Education PhD in Computer Science, University of Houston MS in Computer Science, University of Houston BS in Computer Science, University of Houston About Me Hometown: Houston, TX Field of Research/Teaching: Computation Advertising, Machine Learning What are the specifics of your educational background? I have a PhD in Computer Science specializing in Machine Learning. What is your research focus? Computational advertising is an application area of machine learning and artificial intelligence that seeks to provide people with information about new opportunities. I have always been interested in being able to understand people and predicting how they react to something. In advertising, this happens all the timewe arent very good at it yet, so there is a lot more to do. Read More Less : diff --git a/src/data/compiled_bios/5264.txt b/src/data/compiled_bios/5264.txt new file mode 100644 index 0000000000..72d0157987 --- /dev/null +++ b/src/data/compiled_bios/5264.txt @@ -0,0 +1 @@ + Education PhD in Computer Science, Cornell University MSc in Computer Science, Ben Gurion University Israel BSc in Computer Science, Ben Gurion University Israel Biography Eli Barzilay is a Lecturer at Northeastern Universitys College of Computer and Information Science. Eli earned both his Bachelors Degree and Masters Degree in Computer Science at Ben Gurion University in Israel. He earned his PhD in Computer Science at Cornell University in 2003. Elis research areas include Formal Methods, Software Engineering and his main field of research and teaching Programming languages. Eli, a native of Ein-HaBsor, Israel, is also a member of nuPRL, located in 308 West Village H. Eli is interested in programming languages of all kinds. He has studied computer music and applied logic, and he believes that programming languages are important to study for anyone interested in becoming a software developer. What are your research interests? I have gone through some interesting areas in my studies. I studied Computer Music (because I wanted to do programming languages) and Applied Logic (because I wanted to do programming languages.) Ive always been around many kinds of reflection, mainly in Programming Languages. What do you enjoy most/find most rewarding about what you teach? Is there anything notable or unique about the kind of students that you teach? In addition to finding the topic of Programming Languages personally fascinating, I also believe that it is an extremely important subject for a good CS degree and that includes people whose goal is to become software developers. How did you get into the computer science field? I discovered computers while I was in the fifth grade, and I have been hacking ever since then. What are the specifics of your industry experience? Im also working in the real world, but that is primarily to be able to say with authority that yes, programming languages are extremely important in academic CS and in the commercial world. : diff --git a/src/data/compiled_bios/5265.txt b/src/data/compiled_bios/5265.txt new file mode 100644 index 0000000000..2c9f76e9b6 --- /dev/null +++ b/src/data/compiled_bios/5265.txt @@ -0,0 +1 @@ + Education PhD and MS in Computer Science & Engineering, University at Buffalo BS in Computer Engineering, National Institute of Technology, Kurukshetra, India About Me Hometown: Bhagalpur, India Field of research/teaching:Machine Learning, Computer Vision, Algorithms What are the specifics of your educational background? I finished my PhD and MS in Computer Science & Engineering from University at Buffalo. During my PhD, I was also affiliated with Center for Unified Biometrics & Sensors as a Research Assistant. Prior to this, I completed my BS in Computer Engineering from National Institute of Technology, Kurukshetra in India. What is your research focus in a bit more detail? Is your current research path what you always had in mind for yourself, or has it evolved somewhat? If so, how/why? My research has primarily focused on Large Scale Machine Learning, Computer Vision and Deep Learning. During my PhD, I primarily addressed the problem of indexing and retrieval from document images. I proposed a model for style-based retrieval from handwritten document images, which received the best paper award at ICFHR 2010. My PhD dissertation also explored other related problems in this area such as multilingual indexing and retrieval of document images. After my PhD, I joined eBay Research Labs, where my research evolved from building small-scale prototypes to web scale data driven solutions. Our work at eBay resulted in the mobile app feature called eBay Image Swatch, which received international media coverage such as E! News and CNN. Our work on visual fashion recommendation was also featured in MIT Technology Review and GigaOm. What courses/subjects do you teach? I teachAlgorithms. What are the specifics of your industry experience? I am currently the Director of Data Science at eBay. The focus of my work is to help manage risk and fraud in eCommerce marketplace using data-driven solutions. : diff --git a/src/data/compiled_bios/5266.txt b/src/data/compiled_bios/5266.txt new file mode 100644 index 0000000000..c1e8dd8b62 --- /dev/null +++ b/src/data/compiled_bios/5266.txt @@ -0,0 +1 @@ + Education MS in Information Assurance, Northeastern University BS in Computer Science, University of Rhode Island Biography Derek Brodeur is a Part-Time Lecturer at the Northeastern University College of Computer and Information Science. He focuses on computer security, systems, and networks, having earned his MS in Information Assurance at Northeastern. In addition to his role at Northeastern, he has worked at MITRE on several Air Force programs and now at a network security startup based in California. Brodeur holds a BS in Computer Science from the University of Rhode Island. Research Labs and Groups Collegiate Cyber Defense Competition Team Hometown Tiverton Field of research/teaching Information Assurance What are the specifics of your educational background? I earned my Bachelor of Science in Computer Science with a minor in digital forensics from the University of Rhode Island. For my MS in Information Assurance, I studied at Northeastern University. What is your research focus in a bit more detail? Is your current research path what you always had in mind for yourself, or has it evolved? I focus on computer system and network security, network access controls, and systems engineering. Once I became involved in digital forensics as an undergraduate, and as personal computing really took off, I knew security was going to be absolutely essential in the future. What courses/subjects do you teach? Foundations of Information Assurance Computer System Security What do you find most rewarding about what you teach? Students in our classes are truly interested in computer and network security and want to find fun and exciting jobs in the field. Our program helps them do this and, every time I see a former student land a good job, it makes teaching incredibly rewarding. What are the specifics of your industry experience? Previously, I worked at MITRE doing security and engineering work for the Air Force, specifically working on a program dedicated to supporting forward deployed troops overseas. It was exciting to see our hard work being used to defend our country and the lives of our troops in dangerous environments. I currently work for a network security startup based in California, focusing on network access control and security for the Internet of Things. : diff --git a/src/data/compiled_bios/5267.txt b/src/data/compiled_bios/5267.txt new file mode 100644 index 0000000000..fec6d1a539 --- /dev/null +++ b/src/data/compiled_bios/5267.txt @@ -0,0 +1 @@ + Education PhD, University of California Santa Cruz BS, Bethel University Biography Joe Buck earned his PhD from the University of California Santa Cruz and a bachelors from Bethel University in St. Paul, MN. His doctoral research focused on applying recent advances in Big Data to scientific computing while his professional experience has involved working on storage and distributed computing, in addition to big data-related projects. Hes excited to be a part of the ALIGN program and to play a part in helping motivated students as they transition into the world of computer science. : diff --git a/src/data/compiled_bios/5268.txt b/src/data/compiled_bios/5268.txt new file mode 100644 index 0000000000..ae88fa0152 --- /dev/null +++ b/src/data/compiled_bios/5268.txt @@ -0,0 +1 @@ + Education PhD in Machine Translation, Tata Institute of Fundamental Research/University of Bombay MS, Indian Institute of Technology, Delhi. Hometown Chennai (Madras), India Field of research/teaching Artificial Intelligence What is your educational background? I have a background in research as well as engineering management, with a focus on addressing real-world problems in natural language processing, information retrieval and machine learning. I have experience incubating and deploying applications in areas such as web-scale search, text mining, topical news dissemination and context extraction What are the specifics of your industry experience? I received a PhD in machine translation from the Tata Institute of Fundamental Research, Bombay, and worked there and at the National Centre for Software Technology, Bombay, focusing on various aspects of Artificial Intelligence. Later, I worked at the Institute for Research in Cognitive Science, University of Pennsylvania, on automatic sentence simplification, and using natural language processing to improve search. From 1998 to 2010, I was a researcher at Microsoft and Microsoft Research, Redmond, working on search, text mining, news dissemination, human computation, and related areas. I then worked at the news-dissemination startup Evri.com, and still later, managed the development of web-scale academic search products at ProQuest, Seattle. I am now a freelance consultant, working with clients on problems including text classification, learning from mobile sensor data, and question-answering. More information about my papers and patents are available via Google Scholar , USPTO and Semantic Scholar . : diff --git a/src/data/compiled_bios/5269.txt b/src/data/compiled_bios/5269.txt new file mode 100644 index 0000000000..381dd4dccf --- /dev/null +++ b/src/data/compiled_bios/5269.txt @@ -0,0 +1 @@ + Education MBA, University of Washington BS in Computer Engineering, University of Washington Biography Bruce Chhay works on Google BigQuery, which is the interactive big data service for Google Cloud. He previously worked at Microsoft, working on large-scale data analytics for Windows. He also spent time as co-founder of a startup. Chhay holds a bachelors degree in computer engineering and an MBA from the University of Washington. Chhay is a Seattle-area native, and enjoys spending time on his motor vehicles. : diff --git a/src/data/compiled_bios/527.txt b/src/data/compiled_bios/527.txt new file mode 100644 index 0000000000..b04eb02979 --- /dev/null +++ b/src/data/compiled_bios/527.txt @@ -0,0 +1 @@ +John Goldsmith Edward Carson Waller Distinguished Service ProfessorDepartments of Computer Science and Linguistics Email: jagoldsm@cs.uchicago.edu Phone: (773) 702-6614 Office: JCL 311 Website: http://humanities.uchicago.edu/faculty/goldsmith Research: artificial intelligence, computational linguistics Research I am interested in understanding the nature of symbolic representation, in both natural language and genomic sequences, through the development of software that induces structure from data. In the area of natural language, the focus of my recent work has been the development of a program called Linguistica which induces the morphology (the word internal structure) of a language on the basis of a corpus from the language. We are currently working on languages as diverse as Somali and Swahili in addition to more familiar European languages. Our webpage is linguistica.uchicago.edu Education Swarthmore College, BA 1972 (Philosophy, Mathematics, Economics) MIT, PhD 1976 (Linguistics) diff --git a/src/data/compiled_bios/5270.txt b/src/data/compiled_bios/5270.txt new file mode 100644 index 0000000000..329be55b50 --- /dev/null +++ b/src/data/compiled_bios/5270.txt @@ -0,0 +1 @@ + Education JD in Intellectual Property Law, Suffolk University MS in Library and Information Science, Simmons College BA in History, University of Mary Washington Biography Kyle K. Courtney is an attorney, currently working as the copyright advisor for Harvard University. At Harvard, he works closely with the community to establish a culture of shared understanding of risk and legal issues among staff, faculty, and students. His work at Harvard also includes a role as the copyright and information policy advisor for HarvardX/edX online classes. He also currently teaches a section at Harvard Law School, training first year law students on the fundamentals of legal research in the Legal Research and Writing program. Courtney maintains a dual appointment at Northeastern University as a Faculty Scholar for the Program on Human Rights and the Global Economy (PHRGE) at the School of Law and teaching Cyberlaw: Privacy, Ethics, and Digital Rights for the interdisciplinary Information Assurance program at the College of Computer and Information Science. He holds a JD with distinction in High Technology/Intellectual Property Law from Suffolk University School of Law and an MSLIS from Simmons College. He is a published author and nationally recognized speaker on the topic of copyright, technology, and the law. Courtneys writing has appeared in Politico, Slate, Library Journal, and other publications. His most recent book is titled MOOCs and Libraries in the 21st Century, published by Rowman & Littlefield, Ltd. He can be followed on Twitter @KyleKCourtney and his Cyberlaw class website is https://cyberlaw101.wordpress.com/. Field of research/teaching Information Assurance, Cyberlaw, Internet Law, Intellectual Property What are the specifics of your educational background? I earned my Bachelor of Arts in History from the University of Mary Washington; my Juris Doctorate with distinction in Intellectual Property Law from Suffolk University School of Law; and my Master of Science in Library and Information Science from Simmons College. What is your research focus? Is your current research path what you always had in mind or has it evolved somewhat? My research focus has evolved over time, as the internet and technology revolution has also evolved. My courses in law school were just starting to touch on the advances in computing, and how that would ultimately affect the world. My post-graduate research had to change as the internet began to dominate more and more of our everyday lives. I find myself working more with students focusing on security and privacy, not just for the government, but for private industry and consumers. I would never have believed, when I graduated, that the law would be so outpaced by the current technology. This evolution has made legal analysis and the understanding of the law process an even greater skill set for our current Information Assurance graduates, who will have to venture into the world and develop relevant laws and policies, while also understanding the technology behind that shapes the policies. What courses/subjects do you teach? I have taught Cyberlaw: Privacy, Ethics, and Digital Rights for Northeasterns Information Assurance program for over a decade, teaching both online and on-ground versions of the course. During that time, I also taught Foreign, Comparative, and International Law and Massachusetts Legal Research at Northeastern Universitys School of Law. What do you enjoy most about what you teach? Is there anything notable or unique about the kind of students that you teach? Information Assurance is an interdisciplinary field, and my classroom typically has a great representation across various fields: law, computer science, criminal justice, information security, and business. I find the students various perspectives and backgrounds to be one of the best aspects of the class. Students not only learn from the curriculum I assign, but also from each other, especially on matters of technology and law. And, by the end of the semester, students have learned to communicate between these fields. The most rewarding aspect for me is that by the end of the course the students have become critical legal thinkers, and can readily spot legal issues, analyze risk, and communicate policy through the lens of the law. In many ways, they learn successful communication through this legal lens, which will be critical for their professional lives. Dozens of graduates from the program have returned to me and stated clearly that communicating with lawyers is a huge part of their professional lives, and that my class directly benefited that aspect of their job. I am delighted to welcome graduates from our program to guest lecture in my class each year to talk about their day-to-day work and the skills that they honed in the Cyberlaw class. Where did you study? Any reason in particular behind your choice? I went to law school specifically to focus on intellectual property law and the legal impact of the new internet technology. Fortunately, my program had an advanced concentration option which allowed me to complete a Juris Doctorate thesis, not a typical path in the normal law curriculum. At the time, it was called the High Technology Law concentration. This concentration let me take extra classes such as Internet Law, Advanced Copyright and Trademark, e-Healthcare Law, and other courses taught by practitioners in the field, in addition to my thesis work. The classes I took were the critical foundation not only for my career, but also for my decade of teaching Cyberlaw in the Information Assurance program. : diff --git a/src/data/compiled_bios/5271.txt b/src/data/compiled_bios/5271.txt new file mode 100644 index 0000000000..2cd95b04a4 --- /dev/null +++ b/src/data/compiled_bios/5271.txt @@ -0,0 +1 @@ + Education MS in Computer Science, Northeastern University MBA, Saint Leo University BS in Management Information Systems, University of Tennessee Knoxville Hometown Kansas City, KS Field of research/teaching Software Engineering What is your educational background? I hold an undergraduate degree in Information Systems, an MBA and a MS in Computer Science. What courses/subjects do you teach? CS 5001: Intensive Fundamentals os Computer Science Where did you spend your most defining years? I grew up in Kansas City, KS, where I lived until I graduated high school. After high school, I spent 4 years in college at the University of Tennessee, in Knoxville, TN. Shortly after, I enlisted and spent 6 years in the United States Air Force, which landed me in the Seattle, WA area. Ever since I left the Air Force in 2014, Ive worked at Amazon. My time in the Air Force was formative. It taught me a couple things. 1. I could achieve anything I set my mind to and 2. There are kind and good people everywhere in the world. Interestingly enough, Ive found those lessons to be true in the software space, and having learned that years ago helped me navigate the challenging and multi-cultural problem domain. Where did you study? I studied Computer Science in Seattle, WA. Seattle is a tech hub, and the campus was next door to my Amazon office. What started out of convenience ended up being the best thing that could have happened to me. Ive developed lasting relationships and footing in a field that I enjoy immensely. What are the specifics of your industry experience? Ive worked in the digital advertising space for 4 years. Ive held a number of roles, ranging from operations to engineering. : diff --git a/src/data/compiled_bios/5272.txt b/src/data/compiled_bios/5272.txt new file mode 100644 index 0000000000..e437645281 --- /dev/null +++ b/src/data/compiled_bios/5272.txt @@ -0,0 +1 @@ + Education MS in Mathematics, University of Washington BA in Physics and Mathematics, Whitman College Biography Marlin Jay Eller is a Part-Time Lecturer in theCollege of Computer and Information Science at Northeastern Universitys Seattle campus. Marlin earned his Bachelors Degree in Physics and Mathematics at Whitman College and his Masters Degree in Mathematics from the University of Washington. Marlins research area includes Programming Languages. He is a native of Pasadena, California. Before coming to Northeastern, Marlin worked at Microsoft, where he managed software development projects for 13 years. He will be teaching Discrete Math and Introduction to C Programming, and he looks forward to teaching students the ins and outs of programming. What are your research interests? I have broad interests rather than a narrow focus and in my long career I have been involved in many projects. One thing though that has been somewhat constant is an interest in how to make computers more friendly i.e. better user interfaces. Windows at Microsoft was an excursion into Graphical User Interface. I developed Pen Windows also for Microsoft with handwriting recognition software. I have developed music notation software in both gui and handwritten forms. My current interest in teaching CS is much the same how can people get more out of machines. What do you find most rewarding about what you teach? I specialize in teaching programming to people who believe that they have no interest in programming and no ability to do so. I believe that what I teach is fun and I just share the fun. Where did you grow up or spend your most defining years? Surfing at Huntington Beach and reading Batman, oh and Martin Gardner. I read lots of recreational Math. My rec math library has at least 7 yards of books. What are the specifics of your industry experience? I managed software development projects at Microsoft for 13 years. Designed and wrote GDI for Windows 1.0 worked on networks, handwriting recognition, worked in Japan on Kanji character recognition, did floating point math standards, video compression. Left Microsoft and started a dot-com to sell online sheet music, started a printing & sheet music production company in Chelyabinsk Russia. Took my dot-com public 2 weeks before the dot-com bubble burst. Downsized multiple times and sold it. Helped found a computer online casual games company, Reflexive, which we eventually sold to Amazon. Where did you study? Um in the library? I choose my college for the stupidest of reasons which is of course exactly what the college recruiters and marketing folks wanted us to do They showed people flopped in the aisles of the library feet up totally immersed in their reading. Boy, that looks like fun! I wanna go there! : diff --git a/src/data/compiled_bios/5273.txt b/src/data/compiled_bios/5273.txt new file mode 100644 index 0000000000..1b05fc82ea --- /dev/null +++ b/src/data/compiled_bios/5273.txt @@ -0,0 +1 @@ + Education BS, California State University Biography Professor John Ewart is a part time lecturer at Northeastern Universitys Seattle campus specializing in computer science and environmental systems. Prior to joining Northeastern, John lectured at the University of California, Merced, where he covered material on data structures, Java, C++, C, UNIX systems programming and machine organization. While lecturing at the University of California, John also worked as an adjunct faculty member for Columbia Community College, teaching Introduction to Programming, Introduction to UNIX and Linux, and Advanced Web Topics. Johns research experience involves embedded sensor networks and 1-D flow modeling. He worked as a research assistant to Dr. Thomas Harmon at the University of California, Merced from 2004 to 2006, developing embedded sensor networks to retrieve data for analysis by mathematical models to understand the nature and behavior of pollutants in environmental systems. John worked with Dr. Thomas Harmon to research groundwater and wetlands as well as agricultural and riparian related problems. John received his Bachelors of Science degree in Computer Science from California State University, Stainslaus, where he also worked as a part-time lecturer from 2004 to 2006, teaching material such as basic database and webpage development, basic computer and Internet usage skills like Microsoft Office, and Introduction to programming through C++. : diff --git a/src/data/compiled_bios/5274.txt b/src/data/compiled_bios/5274.txt new file mode 100644 index 0000000000..8edd6113cc --- /dev/null +++ b/src/data/compiled_bios/5274.txt @@ -0,0 +1 @@ + Education EdD, Northeastern University MBA, Boston University Biography Dan Feinbergwas the director of the interdisciplinary Master of Science in Health Informatics programfrom 2009-2018. His background encompasses technology, health care, and business, and he has served as the president of the New England Chapter of the Health Information Management Systems Society. Prior to assuming his current position, he founded several companies, the most recent of which was RetinaCheck, a telemedicine company. He also had been the project manager for an electronic medical record system for mental health providers. He holds an MBA with a healthcare management certificate from Boston University. Field of research/teaching Healthcare Data What is your educational background? I received an MBA with a healthcare management certificate from Boston University, and I earned a doctorate in education (EdD) from Northeastern University. What is your research focus? My current research focuses on STEM education. What courses/subjects do you teach? HINF 6220 Database Design, Access, Modeling and Security HINF 6230 Strategic Topics in Programming for Health Professionals What do you enjoy most about what you teach? I enjoy teaching students who are completely new to databases and programming, as I help them learn to think in the ways required for these topics. Read More Less : diff --git a/src/data/compiled_bios/5275.txt b/src/data/compiled_bios/5275.txt new file mode 100644 index 0000000000..d87a0ef31b --- /dev/null +++ b/src/data/compiled_bios/5275.txt @@ -0,0 +1 @@ + Education MS in Health Informatics, Northeastern University BS in Information Technology, Plymouth State University Biography Professor Jamon Foster specializes in Personal Health Informatics and teaches several courses at Northeastern University. He currently works as a Senior Clinical Analyst for Tufts Medical Center, and previously worked as an Application Specialist in the Development Division of MEDITECH. He earned his Masters of Science Degree in Health Informatics from Northeastern University, as well as his Bachelors of Science Degree in Information Technology from Plymouth State University. About Me Hometown: Medford, MA Field of Research/Teaching: Personal Health Informatics What are the specifics of your educational background? I earned my Bachelors of Science Degree in Information Technology with a Minor in Mathematics from Plymouth State University, and my Masters of Science Degree in Health Informatics from Northeastern University. What are your research interests? I am not primarily focused on research at the moment. Ideally, I would like to directly involvemyself in the future of healthcare technology research. What courses do you teach? Public Health Surveillance Creation and Application of Medical Knowledge Key Standards in Health Informatics Database Design and Security Business of Healthcare Informatics American Healthcare System Management Issues in Healthcare IT Where did you grow up or spend your most defining years? I grew up in Montpelier, Vermont What are the specifics of your industry experience? I worked at MEDITECH for 7 1/2 years as an Application Specialist in the Development Division. : diff --git a/src/data/compiled_bios/5276.txt b/src/data/compiled_bios/5276.txt new file mode 100644 index 0000000000..e755f6abd8 --- /dev/null +++ b/src/data/compiled_bios/5276.txt @@ -0,0 +1 @@ + Education MS in Health Informatics, Northeastern University Bachelors of Medicine and Bachelors of Surgery, Dow University of Health Sciences Biography Professor Farhan CJ Hameed is a physician Informaticist, clinical and research informatics educator and a fellow of Healthcare Information and Management Systems Society (HIMSS). He has an extensive experience in healthcare, neuroscience R&D and development of healthcare information systems management for US, Canada and several international healthcare organizations. He is currently leading the medical informatics initiatives at Pfizer Innovative Research (PfIRe) Lab at Pfizer Inc. CJ has been involved in the development of clinical decision support systems (CDSS) & drug databases for multiple Health Information Exchange (HIE) platforms. CJ specializes in the use of semantic interoperability standards, ontologies and to provide integrated clinical solutions throughout the project and product life cycles and more recently in clinical research informatics development of electronic data capturing (EDC), use of use of wearable devices, AI/Machine learning and the development of digital biomarkers specifically for Parkinsons Disease. CJ has been a key resource for conducting product design and usability testing, software development and redesigning of the clinical workflows. CJ is an award winning professor, and earned his Masters degree in Health Informatics from Northeastern University, as well as Clinical Informatics certificate from University of Texas, Health Science Center Houston. He also completed the Clinical Educator program at MidWestern University, Arizona and earned his medical degree (MD) from Dow University of Health Sciences in Karachi, Pakistan. He has served as an adjunct professor of pharmacy at Chicago State and Midwestern universities and has been an active member of Healthcare Information and Management Systems Society (HIMSS), Health Level-7 (HL7), American Medical Informatics Association (AMIA), and contributor to several informatics initiatives at Clinical Data Interchange Standards Consortium (CDISC) and Pistoia Alliance. : diff --git a/src/data/compiled_bios/5277.txt b/src/data/compiled_bios/5277.txt new file mode 100644 index 0000000000..2121f2d3c9 --- /dev/null +++ b/src/data/compiled_bios/5277.txt @@ -0,0 +1 @@ + Education MS, University of Southern California BS in Criminal Justice, Northeastern University Biography Michael Higginsis a veteran security executive with more than 20 years of experience working in government and private industry. Today he serves as the chief information security officer (CISO) for NBC Universal leading the companys information security programs. Previously Mike held executive security positions at The New York Times and LexisNexis. For more than a decade prior, Mike was an executive security consultant to Fortune 500 companies including Time Warner, Citigroup, Sun Microsystems, Merrill Lynch, JP Morgan Chase, and British Petroleum. For the last 10-plus years, Mike has been a visiting lecturer at the McIntire School of Commerce at the University of Virginia and is a former adjunct professor in the Information Assurance Program at The George Washington University. Mike received his bachelors degree from Northeastern University and his masters from the Viterbi School of Engineering at the University of Southern California. : diff --git a/src/data/compiled_bios/5278.txt b/src/data/compiled_bios/5278.txt new file mode 100644 index 0000000000..867e996eaa --- /dev/null +++ b/src/data/compiled_bios/5278.txt @@ -0,0 +1 @@ + Education MS in Computer Science, Wollongong University Australia BS in Engineering, Dalian University of Technology China Biography Ming Huo is a part-time lecturer at Northeastern Universitys Seattle campus, specializing in application security engineering. Mings skill set includes the ability to identify security vulnerabilities by way of security architecture review, code review, and penetration testing, as well as the ability to provide security remediation options and recommend the best practices for given applications. He also has an excellent background in programming skills such as C#, C++, Java, Javascript, PHP, and script languages. Ming worked as an online security software engineer at Sears from 2013-2015, where he was responsible for designing security standards and ensuring SDLC adopted through the development lifecycle. While at Sears, Ming worked on projects related to his field. One such project involved designing security requirements on user authorization, performing security assessments, and providing remediation options for detected vulnerabilities in online platforms for managing home devices such as garage doors and general thermostats. Another project involved performing back-end testing with tools SoapUI and Burp, conducting code review with HP Fortify SCA, and auditing the user profile database for PII and PCI data to deliver identified user authentication issues and to provide necessary remediation options for detected vulnerabilities in online user profile payment services. Ming also assisted with the planning and integration of SDLC in the development lifecycle, worked closely with the development team to explain certain risks, and performed testing with Burp and scanning with AppScann to deliver identified vulnerabilities and remediation options for a project involving a gifting platform that allows users to turn physical items into digital gift cards to send via email. Ming earned his Masters in Computer Science from Wollongong University in Australia, and his Bachelors in Engineering from Dalian University of Technology in China. : diff --git a/src/data/compiled_bios/5279.txt b/src/data/compiled_bios/5279.txt new file mode 100644 index 0000000000..672db15fc2 --- /dev/null +++ b/src/data/compiled_bios/5279.txt @@ -0,0 +1 @@ + Biography Hamidreza Jahanjou is a PhD student studying theoretical computer science at Northeastern Universitys College of Computer and Information Science, advised by Professor Rajmohan Rajaraman. Hamidreza earned his masters degree at Sharif University of Technology in Iran. He has collaborated with several faculty members in research and teaching, and he currently works on ways to solve computationally-difficult problems, with a research-oriented career in computer algorithms and theory as a goal. Education MSc, Sharif University of Technology Iran About Me Hometown:Isfahan, Iran Field of Study: Theoretical Computer Science PhD Advisor: Rajmohan Rajaraman What are the specifics of your graduate education? I joined the College of Computer and Information Scienceafter completing a masters degree at Sharif University of Technology in Tehran, Iran. I have worked with a number of faculty members and have also been a teaching assistant for several semesters it has gone well so far! What are your research interests? Currently, my research involves finding clever ways to solve computationally-difficult problems. Some of these problems arise from practice, such as scheduling problems. Others are worth investigating due to their aesthetic values. Whats one problem youd like to solve with your research/work? I would like to solve the rectangle coloring problem. When given a set of axis-parallel rectangles on a plane, what is the smallest number of colors needed so that rectangles of the same color do not intersect? What aspect of what you do is most interesting? The most interesting part of my work is understanding what makes some problems inherently more difficult than others despite similarity. I feel that this question lies at the heart of all research in Algorithms and Complexity Theory. It is also a very natural question: why does a riddle become obvious only after you know the answer? What are your research or career goals, going forward? I would like to pursue a research-oriented career after graduation. : diff --git a/src/data/compiled_bios/528.txt b/src/data/compiled_bios/528.txt new file mode 100644 index 0000000000..c81a21f535 --- /dev/null +++ b/src/data/compiled_bios/528.txt @@ -0,0 +1 @@ +John H. Reppy ProfessorDepartment of Computer Science Senior Fellow,Computation Institute Email: jhr@cs.uchicago.edu Phone: (773) 702-5534 Office: JCL 253 Website: http://people.cs.uchicago.edu/~jhr/ Research: parallel and concurrent programming languages Research My main area of research is in the design and implementation of advanced programming languages, including functional languages, object-oriented languages, and concurrent languages. My current research focus is on parallel language design and implementation for multicore architectures and real-time graphical applications. Projects Diderot Manticore Standard ML of New Jersey diff --git a/src/data/compiled_bios/5280.txt b/src/data/compiled_bios/5280.txt new file mode 100644 index 0000000000..21a78de088 --- /dev/null +++ b/src/data/compiled_bios/5280.txt @@ -0,0 +1 @@ + Education PhD in Computer Science and Engineering, University of Notre Dame BS in Computer Science, University of Illinois at Springfield Biography Hometown Bellevue, WA Field of research/teaching Data Science What is your research focus in a bit more detail? Is your current research path what you always had in mind for yourself, or has it evolved? My research was specifically focused on the development and application of methods for learning from imbalanced data. Imbalanced data refers to problems, typically related to classification, where one group or class occurs less frequently. This imbalance can cause difficulty for algorithms that try to correctly distinguish between groups or classes, but often occurs in problems of significant importance, such as the detection of fraud which typically occurs infrequently, but with great consequence. What courses/subjects do you teach? Data Mining Machine Learning What do you find most rewarding about what you teach? I find it very rewarding when, by the end of a course, students can apply methods and tools to solve problems that they didnt know how to solve when the course began. I enjoy playing a role in empowering people to solve real problems. Where did you study? I completed my Ph.D. at the University of Notre Dame in part to stay near my family in Illinois. What are the specifics of your industry experience? I work at SAP Concur as a data scientist. The work gives me hands-on experience with the practical aspects of developing insights from large bodies of data through applied statistics and machine learning. Where did you grow up/spend the most defining years of your childhood/young adulthood? I grew up in the midwest. I attended high school in Wisconsin, undergraduate school in Minnesota and Illinois, and graduate school in Indiana. : diff --git a/src/data/compiled_bios/5281.txt b/src/data/compiled_bios/5281.txt new file mode 100644 index 0000000000..3fe2aacb01 --- /dev/null +++ b/src/data/compiled_bios/5281.txt @@ -0,0 +1 @@ + Education MS in Applied Mathematics and Operations Research, Rensselear Polytechnic Institute BS in Mathematics, Middlebury College Biography Craig is a thought leader, innovator, entrepreneur and part time faculty in the Healthcare Informatics graduate program focused on the business application of machine learning and decision support in healthcare. He started his career as a data scientist at NASAs Jet Propulsion Laboratory where he developed a communication planning application for deep spacecraft supporting the Pioneer, Voyager and Galileo missions. He brought that experience to healthcare and applied it in various settings applying technology to complex prediction, scheduling, planning, resource allocation and campaign management problems. Craig is currently co-founder and Chief Science/Technology Officer at Decision Point Healthcare and founder and principal consultant at Synthesis Health Systems. About Me Field of Research/Teaching: business application of machine learning and decision support in healthcare What are the specifics of your educational background? I received my undergraduate degree in mathematics from Middlebury College and hold a masters degree in Applied Mathematics and Operations Research from Rensselear Polytechnic Institute. What is your research focus in a bit more detail? Is your current research path what you always had in mind for yourself, or has it evolved somewhat? If so, how/why? After straying in to management roles in information technology since my days at JPL, I have settled back in to creating innovative technology solutions that help healthcare organizations engage with at risk member patients. My passion is better understanding the underlying business problem and figuring out what blending of technologies can be solutioned to address that problem. What courses/subjects do you teach? I teach Business Application of Decision Support in Healthcare and Data Management in Healthcare. What do you enjoy most/find most rewarding about what you teach? Is there anything notable or unique about the kind of students that you teach? I really enjoy bringing my industry experience to the classroom. I tend to focus less on theory and more on the application of technology in the real world specifically sharing real world examples of barriers to successful implementation. What are the specifics of your industry experience? I started my career as a data scientist at NASA/JPL where I developed a hybrid heuristic mathematical optimization platform for spacecraft communication planning. After moving to healthcare, Ive held multiple IT management positions ultimately holding the position of CIO at a healthplan. Since then, I have been consulting to healthplans and hospitals and most recently co-founded a healthcare engagement analytics company. : diff --git a/src/data/compiled_bios/5282.txt b/src/data/compiled_bios/5282.txt new file mode 100644 index 0000000000..388a618c91 --- /dev/null +++ b/src/data/compiled_bios/5282.txt @@ -0,0 +1 @@ + Education MS, Boston University BS, Boston College Biography Professor Mary Kennedy teaches Introduction to Health Care Informatics at Northeastern University in the College of Computer and Information Science. She is board certified in Nursing Informatics and earned her Masters of Science degree from Boston University as well as her Bachelors of Science degree from Boston College. Prior to joining Northeastern, Professor Kennedy worked with healthcare organizations and solution vendors, both as a clinical nurse as well as an expert in health care information technology. About Me Hometown: Buffalo, New York, USA Field of research/teaching: Health Care Informatics What are the specifics of your educational background? I graduated with A BS in Nursing from Boston College, and an MS in Nursing from Boston University. I am also Board Certified in Nursing Informatics. What are your research interests? My research interest is in the impact of health care information technology (HIT) on the patient experience and the environment of care as well as clinical informatics competency definition. What courses do you teach? HINF5101 Intro to Health Informatics What do you enjoy most/find most rewarding about what you teach? Is there anything notable or unique about the kind of students that you teach? I enjoy the multicultural aspect of my students as well as the mix of technical and clinical experience each student brings to class. It reflects the modern healthcare organization and makes for very interesting conversations. Where did you grow up/spend the most defining years of your childhood/young adulthood? I grew up on the shores of Lake Erie. They were wonderful summers and white winters with the lake effect snow that would arrive each December -or earlier! Where did you study? I studied in Boston because of the access to advanced healthcare organizations and clinical experts, but my professional life has exposed me to health care throughout the world. What are the specifics of your industry experience? I have a diverse background. I started my professional career as a Clinical Nurse and became interested in technology as we stated to build the electronic health record. So in addition to my clinical leadership experience, I also have worked with a variety of healthcare organizations and solution vendors. I always try to bring the clinical and patient perspective into technical applications and solutions. : diff --git a/src/data/compiled_bios/5283.txt b/src/data/compiled_bios/5283.txt new file mode 100644 index 0000000000..1ac2bfec6d --- /dev/null +++ b/src/data/compiled_bios/5283.txt @@ -0,0 +1 @@ + Education MS in Information Security, Georgia Institute of Technology BS in Computer Science, Georgia Institute of Technology Biography Professor Oleg Kolesnikov currently serves as Vice President for Securonix, where he is responsible for Cyber Security focusing on Cyber Attack Detection, Security Analytics, Labs, and Red team. Oleg has 15+ years of experience working in the security industry in senior technical, research, and executive roles building and leading Cyber Security R&D and Operations teams, performing hands-on technical security work for a number of companies, including Top Layer Security, ISS X-Force, and Berkeley Lab, and teaching undergraduate and graduate courses. His publications include papers in the areas of anomaly detection, software security, network security, and intrusion detection and prevention in such conferences as IEEE Security & Privacy and USENIX Security. He holds multiple security industry certifications, including Incident Response (FireEye), Exploit Development (Blackhat), Unethical Hacking (Immunity), CICP (Core Impact), CISSP, etc. Oleg received his MS degree in information security from Georgia Tech. He co-authored two U.S. patents and a book in Network Security. Field of research/teaching Information Security What is your educational background? My educational background includes both undergraduate and graduate degrees from Georgia Tech. What is your research focus? My research focus is Information Security, including Network Security, Software Security, and System Security. What courses/subjects do you teach? Information Security : diff --git a/src/data/compiled_bios/5284.txt b/src/data/compiled_bios/5284.txt new file mode 100644 index 0000000000..ba72b06a15 --- /dev/null +++ b/src/data/compiled_bios/5284.txt @@ -0,0 +1 @@ + Education MS in Health Informatics, Northeastern University BA in Biology, Queens College City University of New York Biography Marie A. Maloney is a seasoned information technology and healthcare informatics educator, consultant, executive, and chief information officer. Professor Maloney is interested in the integration of payer and provider processes to optimize the quality of patient care. She has expertise in collaborating with clinical leadership to develop and support innovative care management approaches for dual eligible populations and government programs. Professor Maloney has been a chief information officer for several leading health care organizations in the Northeast, including Boston Medical Centers HealthNet Plan, Senior Whole Health of New York and Massachusetts, and other health plans. She has driven IT transformation through the alignment of IT and business strategies. Professor Maloney led the implementation and transition to advanced, state of the art systems, including the development of integrated data warehouses that provide the analytics important to improving health care delivery quality and lowering costs among high risk populations. Professor Maloney was the president of the New England Chapter of HIMSS in 2014-15 and now holds the position of vice president in the organization. Currently, she teaches in the Health Informatics Masters program at Northeastern University and consults in healthcare informatics. She earned a BA in Biology from Queens College City University of New York and a MS in Healthcare Informatics from Northeastern University. Hometown Hingham, MA Field of research/teaching Healthcare Informatics What are the specifics of your educational background? I earned my BA in Biology from Queens College but also attended the Polytechnic Institute of Brooklyn. My MS in Health Informatics is from Northeastern, having joined the first class of the program. What courses/subjects do you teach? The business of healthcare informatics Introduction to health informatics What do you enjoy most about what you teach? Is there anything notable or unique about the kind of students that you teach? I have a passion for healthcare and the role that informatics plays in the industry. My career has given me an opportunity to contribute to the fields development. I enjoy sharing my passion, and vision for the fields evolution with my students, who are entering the field or seeking opportunities to advance their skills. I enjoy hearing students perspectives on how changes in healthcare affect them both personally and at work. Where did you grow up or spend your most defining years? I grew up in New York City in Brooklyn and Queens, where I was exposed to the healthcare challenges of immigrant populations which sparked my interest in healthcare. Where did you study? Any reason in particular behind your choice? I graduated from Queens College with a degree in biology. I had the opportunity to take courses in computer programming, which I found very interesting. This experience fueled my interest in the convergence of the science and technology which are essential to improving healthcare outcomes. What are the specifics of your industry experience? I have worked in the healthcare industry for more than twenty years in various settings and most recently in CIO roles. Technology in healthcare has always been a passion of mine, and I believe that current and new technology will improve not only the quality of healthcare but also the quality of life for all people. : diff --git a/src/data/compiled_bios/5285.txt b/src/data/compiled_bios/5285.txt new file mode 100644 index 0000000000..a933e07d05 --- /dev/null +++ b/src/data/compiled_bios/5285.txt @@ -0,0 +1 @@ + Education MS in International Management, University of Denver BBA, Stephen F Austin State University About Me Hometown: Brookline, MA Field of Research/Teaching: American Health System What are the specifics of your educational background? I bring more than twenty years of experience in healthcare payer and provider software implementation, data analytics, business intelligence, clinical data improvement, business process improvement, business analysis and custom development. I have helped a variety of clients significantly advance their business operations by utilizing a pragmatic, people-focused, workflow approach to business process improvement. My portfolio of work includes large scale program leadership, subject matter expertise in requirements analysis, systems implementations, claims processing, case management, provider/member data processing, provider/member portals, population health, CDI deployment and provider engagement. I spent several years leading large and small claims processing and case management software system implementations within the payer space including commercial, Medicaid and Medicare populations. Most recently I worked with a variety of provider software organizations to optimize CDI value delivery to physicians and hospitals. What are your research interests? I am focused on healthcare payer and provider systems. What courses do you teach? HINF 5015 American Healthcare System What do you enjoy most/find most rewarding about what you teach? Is there anything notable or unique about the kind of students that you teach? I absolutely love teaching. The US healthcare system is not the most straightforward and I thoroughly enjoy discussing areas filled with complexity until the are clear and simple. Students have wonderful ideas regarding how to improve a system that is not consistently working for all parties. Where did you grow up/spend the most defining years of your childhood/young adulthood? I grew up on a pig farm in Nebraska before spending middle school in LA and high school in Texas. Where did you study? Any reason in particular behind your choice? I earned my Bachelor of Business Administration degree from Stephen F Austin State University in Nacogdoches, Texas. It was an accredited business school, the right distance from home and beautiful. I earned my Master of International Management degree from the University of Denver as it was one of the few programs in the country at the time that offered an international MBA. My master plan was to own an import/export company but instead I have spent my career creating and implementing software in the healthcare industry. What are the specifics of your industry experience? Healthcare, Consulting, Software Development and Implementation, Healthcare IT, Product Management : diff --git a/src/data/compiled_bios/5286.txt b/src/data/compiled_bios/5286.txt new file mode 100644 index 0000000000..fe5cbec80f --- /dev/null +++ b/src/data/compiled_bios/5286.txt @@ -0,0 +1 @@ + Education MS in Information Assurance, Northeastern University MS in Management of Information Systems, Stevens Institute of Technology BSCS, Istanbul University Biography Mardiros Merdinian is an adjunct professor at Northeastern Universitys College of Computer and Information Science. Merdinian earned his Bachelors Degree in Computer Science at Istanbul University. He earned his Masters Degree in Management of Information Systems from Stevens Institute of Technology and an additional Masters Degree in Information Assurance from Northeastern University. Merdinians area of teaching is Information Security and he is a member of the Secure Systems Lab (SecLab) and the Security Group. Merdinian has years of experience working in the field of Information Assurance and Information Security. Some of his positions include working as an Information Security Officer at Hewlett-Packard for 7 years, and he is currently working as a Senior Information Security Officer at State Street Corp. He looks forward to using his extensive knowledge and experience working in the field of cybersecurity to teach students the practical applications they need to learn theoretical topics. What do you find most rewarding about what you teach? What I enjoy most is transmitting cybersecurity knowledge to students and providing them with practical applications by connecting my experiences to the theoretical topics. What are the specifics of your industry experience? Previously, I worked as an IT Compliance Consultant in the Pharmaceutical industry. I managed teams that provided IT Quality Assurance services to clients to achieve quality and regulatory compliance. Then I moved to Hewlett-Packard and worked as an Information Security Officer where I was a single point of contact for HP clients for security, audit, and compliance. I currently work for as an Sr. Information Security Officer at State Street corporation where I am globally responsible for information security for a business unit. : diff --git a/src/data/compiled_bios/5287.txt b/src/data/compiled_bios/5287.txt new file mode 100644 index 0000000000..703c3181dc --- /dev/null +++ b/src/data/compiled_bios/5287.txt @@ -0,0 +1 @@ + EDUCATION Ph.D., MIT, EECS, Specializing in AI and Education, 1979 B.S., UCSD, Psychology and Applied Physics and Information Science, 1972 Biography Mark L. Miller, Ph.D. founded Learningtech.org, incorporating it as The Miller Institute for Learning with Technology, a California 501(c)(3) non-profit, in March 2000. He serves as both its lead technical contributor and its President and Executive Director. The mission of the organization is to help children of all ages use technology more effectively for learning. The firm has helped schools throughout California and in several other states. Services include: E-rate applications; technology plan preparation; professional development relating to computer science, robotics and making; IT consultation (network design; server/router configuration/administration; technology impact assessment); and sponsored research in the areas of educational technology and computer science education. Before founding the Institute, Dr. Miller served as Lab Director for Learning and Tools at Apple, where he spent almost a decade heading up educational technology investigations. Apple programs under his direction at various times included: Apple Classrooms of Tomorrow (ACOT); Apple Global Education (AGE); Visualization and Simulation; Business Learning and Performance Support; and Multimedia Authoring Tools. Dr. Millers experience includes Texas Instruments Central Research Labs (TI), where Miller established its widely recognized Machine Intelligence research program, emphasizing educational applications, expert systems, and natural language processing. Miller later co-founded Computer*Thought Corporation (Dallas, TX), a high-tech TI spinoff backed by venture capital, where he led the design of an advanced instructional system to retrain software engineers for the Ada programming language then being implemented for the International Space Station. Dr. Millers teaching experience includes the University of Texas (Introduction to Artificial Intelligence; Survey of Knowledge Engineering; Design and Implementation of Programming Languages; Compilers, Assemblers, and Operating Systems; Software Engineering Using Ada; Discrete Structures). He also supervised successful M.S. and Ph.D. candidates at UT and Southern Methodist University. While at MIT he served as both Research Assistant and Teaching Assistant in the Department of Electrical Engineering and the Artificial Intelligence and LOGO Laboratories. Miller has also taught high school mathematics and other topics at K12 schools, community colleges, and county offices of education. He developed and co-delivered a high school CS elective that received UC G approval, for use at multiple campuses of Summit Public Schools. Miller is working on a journal article which is in review for ACM SIGPLANs History of Programming Languages journal, with a half dozen pioneers, describing the early development of Logo, the highly influential programming language for children made famous by Seymour Papert (1980), in Mindstorms: Children, Computers, and Powerful Ideas. Miller worked with Papert at MIT and TI; some of Millers contributions are mentioned in the End Notes of Paperts seminal publication. Mark also currently serves as Vice President of the Silicon Valley chapter of the Computer Science Teachers Association. What is your research focus in a bit more detail? Is your current research path what you always had in mind for yourself, or has it evolved somewhat? If so, how/why? My research focus is on how to bring Computer Science Education to all. I have long believed that AI should be an elementary school subject. What courses/subjects do you teach? Currently teaching CS5003. What do you enjoy most/find most rewarding about what you teach? Is there anything notable or unique about the kind of students that you teach? I am teaching in the Align program. Students typically work full-time during the day while studying Computer Science 3 nights per week. I find their energy and enthusiasm inspiring. I hope I can inspire them to continue their studies, despite the challenges they must face. Where did you grow up/spend the most defining years of your childhood/young adulthood? I lived in Glen Ridge, New Jersey until half-way through high school. I finished high school in Coronado, CA, and then attended UC San Diego for undergraduate work. My wife and I then moved to Boston for graduate school. Where did you study? Any reason in particular behind your choice (a program you were excited about, a city you love, a researcher you wanted to work with)? As a high school student in 1967, I was fortunate enough to attend an NSF summer program at San Diego State, emphasizing mathematics and computing. I was hooked! From that point onward, I knew this emerging field would become my career. I was further fortunate enough to study as an undergraduate with Don Norman in the early days of what is now called, Cognitive Science. He encouraged me to read Perceptrons, by Marvin Minsky and Seymour Papert, after which I knew I must do my graduate work at MIT, in the AI and Logo Labs. What are the specifics of your industry experience? I have worked at large corporations (TI, Apple), think tanks (BBN), startups (Computer*Thought) and a nonprofit (Learningtech.org). I love consulting, teaching, and research. My industry experience has primarily involved research in educational technology. I am listed on a few patents. Read More Less : diff --git a/src/data/compiled_bios/5288.txt b/src/data/compiled_bios/5288.txt new file mode 100644 index 0000000000..cecb9080f4 --- /dev/null +++ b/src/data/compiled_bios/5288.txt @@ -0,0 +1 @@ + Education MS in Information Assurance, Northeastern University BS in Information Technology Engineering, Mumbai University Biography Tasneem Nipplewala is a Part-Time Lecturer at the Northeastern University College of Computer and Information Science. She teaches foundations course in Information Assurance and has a focus on computer security, enterprise architecture and risk management. Tasneem has earned her MS in Information Assurance at Northeastern and her Bachelors degree in Information Technology Engineering. While pursuing her MSIA, Tasneem founded the Information System Security Association Student chapter at the university. She has worked in software development, insurance, life sciences and financial services industry in various security focused roles. Tasneem is currently a Vice President of Information Security at a Massachusetts based bank, and also serves as a Board Member for the New England Information System Security Association. What is your research focus? Information Security What is your research focus in a bit more detail? Is your current research path what you always had in mind for yourself, or has it evolved somewhat? If so, how/why? My focus is on systems architecture. This is a holistic area where you need to focus to software, network and functional security requirements. This area keeps evolving with emerging technology, changing regulatory and threat landscapes. What courses/subjects do you teach? Foundations in Information Assurance : diff --git a/src/data/compiled_bios/5289.txt b/src/data/compiled_bios/5289.txt new file mode 100644 index 0000000000..106f0affd8 --- /dev/null +++ b/src/data/compiled_bios/5289.txt @@ -0,0 +1 @@ + Education PhD in Healthcare Management and Economics, Wharton School of the University of Pennsylvania BS in Management Science and Writing, Massachusetts Institute of Technology Biography Adam C. Powell, PhD, is the President of Payer+Provider Syndicate, a management advisory and operational consulting firm focused on the managed care and healthcare delivery industries. As a healthcare economist, Professor Powells specialty is using quantitative techniques to examine issues concerning technology, operations, and firm decision making. Professor Powell publishes research on healthcare quality as it applies to mHealth and high-cost interventions. He serves on the Editorial Board of the Journal of Medical Internet Research (JMIR): Mental Health and on the Scientific Advisory Board of PsyberGuide. Professor Powell holds a Doctorate and Masters degree from the Wharton School of the University of Pennsylvania, where he studied Health Care Management and Economics. He also holds Bachelors degrees in Management Science and Writing from the Massachusetts Institute of Technology. Professor Powell is a member of the adjunct faculty of Northeastern University, where he teaches students in the Health Informatics Graduate Program. He additionally serves on the Visiting Faculty of the Indian School of Business, where he teaches a post-graduate course on Health IT. Outside of his consulting and academic work, Professor Powell has been featured in over one hundred and fifty articles from outlets including JAMA, CNN, Forbes, Fox, Inc., NBC News, Reuters, The Christian Science Monitor, U.S. News & World Report, Yahoo! Finance, Beckers Hospital Review, Fierce, Healthcare Finance News, HealthLeaders Media, KevinMD, mHIMSS, Modern Healthcare, Minyanville, and Seeking Alpha. At Northeastern, Professor Powell teaches Global Health Informatics and Public Health Surveillance and Informatics. About Me Hometown: Boston, MA Field of Research/Teaching: Personal Health Informatics What are the specifics of your educational background? I earned my PhD in Healthcare Management and Economics from The Wharton School of the University of Pennsylvania, and my BS in Management Science and BS in Writing from the Massachusetts Institute of Technology (MIT). What are your research interests? My research focuses on improving the quality of healthcare. One stream of my work focuses on examining how we can measure quality in mobile health (mHealth). Another stream of my work focuses on assessing the performance of quality improvement programs in high-cost areas of medicine, such as cardiology, oncology, and radiology. What courses/subjects do you teach? Global Health Informatics Public Health Surveillance and Informatics What do you find most rewarding about what you teach? I always enjoy hearing about what students are doing at work. It is great to learn about how students are putting concepts from class into action. Where did you grow up/spend the most defining years of your childhood/young adulthood? I grew up in a suburb of Chicago, but have spent my entire adult life on the East Coast. I moved to Boston for the first time at 16, and have moved back twice since. Where did you study? Any reason in particular behind your choice (a program you were excited about, a city you love, a researcher you wanted to work with)? At MIT, I studied Management Science with a focus on information systems. I additionally studied Expository Writing. One writing class required me to create specifications for an interactive website. I decided to create specifications for an online wellness tool, and worked with a team of students to implement it. The project got me excited about digital health, and led to an undergraduate thesis on the impact of health IT on cost and quality. After completing the thesis, I sent it out to various doctoral programs within business schools, with the intention of studying the intersection between healthcare and technology. I ended up at Whartons program in healthcare management and economics. At Wharton, I wrote a dissertation which focused on technology purchasing within hospitals. Since computed tomography (CT) machines are an expensive technology, but more uniform than information systems, I focused the research on CT purchasing. Moving forward to today, I remain interested in issues involving both digital health and high-cost fields such as radiology. What are the specifics of your industry experience? I founded Payer+Provider Syndicate, a consultancy that enables health services companies and investors to better understand operational issues through market analysis, intervention evaluation, and the development of performance improvement methodologies. At Payer+Provider, I build client relationships with a wide variety of firms, including a multinational Fortune 500 company, an academic medical center, a diabetes management company, a provider performance improvement company, a diagnostics company, a utilization management company, a provider strategy consultancy, a change management consultancy, and many other firms in the industry. Over the years, my commentary on healthcare has been featured in articles written by CNN, Fortune, Fox Business, Inc., NBC, Reuters, Yahoo! Health, and numerous other outlets. : diff --git a/src/data/compiled_bios/529.txt b/src/data/compiled_bios/529.txt new file mode 100644 index 0000000000..1286fb44f1 --- /dev/null +++ b/src/data/compiled_bios/529.txt @@ -0,0 +1 @@ +Julia Chuzhoy Associate ProfessorToyota Technological Institute Associate Professor, Part-TimeDepartment of Computer Science Address Office: Toyota Technological InstitutePhone: (773) 834-2490 Email: cjulia@ttic.edu Website: http://ttic.uchicago.edu/~cjulia/ Research: theory diff --git a/src/data/compiled_bios/5290.txt b/src/data/compiled_bios/5290.txt new file mode 100644 index 0000000000..1cdcce5e70 --- /dev/null +++ b/src/data/compiled_bios/5290.txt @@ -0,0 +1 @@ + Education PhD in Computer Science, University of Utah BS in Computer Science, Northeastern University Hometown Kingston, NY Field of research/teaching Programming Languages What courses/subjects do you teach? CS5600 Operating Systems : diff --git a/src/data/compiled_bios/5291.txt b/src/data/compiled_bios/5291.txt new file mode 100644 index 0000000000..0717facfa8 --- /dev/null +++ b/src/data/compiled_bios/5291.txt @@ -0,0 +1 @@ + Education BA in English and Physics, Cornell University MS in Computer Science, Johns Hopkins University PhD in Computer Science, Boston University Biography Vinayak been a software engineer in the Seattle area for 13 years working for a variety of companies. Currently, he is an engineer with Salesforce working on a software security team. In the past, he has worked in fraud, payments, and retail software. He spends his free time with his family, tutoring at a local Seattle tutoring center, or playing tennis. About me Hometown I grew up in Vermont on the shores of Lake Champlain. What is your field of research? My fields of research include Database Design, AI, and Big Data What are the specifics of your educational background? My PhD thesis was on multi-node graphs and their application to bioinformatics, which describes a novel graph-theoretic framework whereby edges are activated or deactivated as a function of the state of their incident vertices. What is your research focus in a bit more detail? Is your current research path what you always had in mind for yourself, or has it evolved somewhat? If so, how/why? I work full-time on Big Data applications in Healthcare. I am a Principal Software Engineer at Optum Analytics. My research interests have centered around using evolutionary-computing and multi-agent based approaches to solving optimization problems in bioinformatics, genomics, and manufacturing. What courses/subjects do you teach? I am teaching CS 3200 Database Design and I will be developing a new course for the university on High-Scale Storage (DS 4300). : diff --git a/src/data/compiled_bios/5292.txt b/src/data/compiled_bios/5292.txt new file mode 100644 index 0000000000..2bbfdba300 --- /dev/null +++ b/src/data/compiled_bios/5292.txt @@ -0,0 +1 @@ + Education PhD in Computer Science, University of California Berkeley MA in Mathematics, University of Maryland College Park BS in Mathematics, University of Maryland College Park Biography Daniel Ries is a senior information system professional with many years of experience working with both business and technology leaders in healthcare and other industries. Currently, he is the CTO at Good Measures, LLC, a startup which provides nutritional tools and services. Daniel helped to start and build a company called Health Dialog, which provides health education and support through nurse call centers for more than twenty million individuals with chronic diseases and other conditions. He holds a PhD in computer science from the University of California, Berkeley, and is a member of HL7. Also, he was a senior executive in research and development at Wang Laboratories and Progress Software. Daniel worked on several national and international standards committees and work groups. About Me Hometown: Belmont Field of research/teaching Health Informatics What is your educational background? I received my PhD in Computer Science from the University of California, Berkeley. : diff --git a/src/data/compiled_bios/5293.txt b/src/data/compiled_bios/5293.txt new file mode 100644 index 0000000000..d6fb1cceba --- /dev/null +++ b/src/data/compiled_bios/5293.txt @@ -0,0 +1 @@ + Education MA in Sociology, Boston College BS in Psychology, George Washington University Biography As vice president at Applied Management Systems in Burlington, Shari Robbins has spent almost twenty years assisting clients achieve their health care operational goals via process improvement initiatives. Robbins has performed studies in virtually every hospital department, with a focus on physician practices/ambulatory clinics, emergency department, and health information management. Her technical contribution includes management span of control, labor productivity assessments, workflow analyses, and comprehensive project management support. The crux of any project is having a plan. Using her prior project work as real-life examples, Robbins runs project management seminars for both state and National healthcare societies as well as on-site seminars to meet her clients needs. To fulfill her love of teaching, Robbins works as a professor in Northeastern Universitys graduate health informatics program, teaching Organizational Behavior, Workflow Design, and Change Management. Robbins most recent published article by the Journal of Healthcare Management, entitled Portion Control Opportunities: Real Time Gains in Hospital Patient Throughput, discusses strategies that focus on how to break down a large project into manageable bite size pieces in order to make the often overwhelming big picture attainable. Robbins is a member of the American College of Healthcare Executives and a senior member of the Health Information Management Systems Society. She holds her undergraduate degree from George Washington University and her Masters from Boston College. Hometown Marblehead, MA. Field of research/teaching Organizational Behavior What are the specifics of your educational background? I graduated from George Washington University with a BS in Psychology and received my masters in Sociology from Boston College. What is your research focus in a bit more detail? Is your current research path what you always had in mind for yourself, or has it evolved? My research focuses on human behavior and the interpersonal impact of our relationships, both personally and professionally. We often have two selves: the one we know and one that is hidden/have yet to discover. I am driven by continuing to uncover this in myself and assisting others to recognize their strengths and opportunities for growth. What courses/subjects do you teach? Organizational behavior, workflow, and change management What do you enjoy most about what you teach? Each year, I am always impressed with the caliber of students who enter my classroom; from full time students to physicians, the myriad of backgrounds and ideas leads to thought provoking discussion. Where did you grow up or spend yourmost defining years? I grew up in Marblehead, MA, and the ocean is home for me. : diff --git a/src/data/compiled_bios/5294.txt b/src/data/compiled_bios/5294.txt new file mode 100644 index 0000000000..2ebcbb527b --- /dev/null +++ b/src/data/compiled_bios/5294.txt @@ -0,0 +1 @@ + Education PhD in Mathematics, California Institute of Technology MSin Mathematics, The Ohio State University BS in Mathematics, The Ohio State University Biography Joseph J. Rushanan is a Part-Time Lecturer at Northeastern Universitys College of Computer and Information Science. He earned both his BS and MS Degrees in Mathematics from The Ohio State University in 1982, and he received his PhD in Mathematics from California Institute of Technology in 1986. A resident of Bedford, Massachusetts, Josephs research and teaching areas include security,cryptography and mathematics. He works as a Principal Mathematician at the MITRE Corporation, where his current focus is on GPS and other Positioning, Navigation and Timing (PNT) research. What are the specifics of your educational background? All my degrees are in pure mathematics, with a background also in computer science. My focus in school was in combinatorics and algebra. I taught many classes as an undergrad and in graduate school. What are the specifics of your industry experience? My full time job is as a Principal Mathematician at the MITRE Corporation. I lead various projects in the field of navigation, e.g., on GPS and other Positioning, Navigation, Timing (PNT) areas. What is your research focus? I have worked in such diverse areas as binary sequences, wireless communication, and navigation. For example, for GPS I designed the spreading codes for the new civil GPS signal to be launched in the near future. I have more recently focused on security related issues, e.g., applied cryptography. What are the specifics of your industry experience? I have been at MITRE for over 30 years. What courses/subjects do you teach? Applied Cryptography Concrete Mathematics In both cases, I try to emphasize as much as possible the application side of the mathematics. Where did you study? Although all of my degrees are in pure mathematics, I was focused on a career in industry, where I can apply mathematics to solve real problems. That said, I have also taught part-time while at MITRE for most of my 30 years. : diff --git a/src/data/compiled_bios/5295.txt b/src/data/compiled_bios/5295.txt new file mode 100644 index 0000000000..9b8e33abca --- /dev/null +++ b/src/data/compiled_bios/5295.txt @@ -0,0 +1 @@ + Education Doctoral Training in Computer Science ABD, University of Florida MS in Computer Science, Washington State University PhD in Engineering,University of Florida Post-Doctoral Fellowship,UT Austin ICES Biography As VP of Data Science at Edifecs, Prasad Saripalli helps design, build and deliver Smart Decisions ML & AI Platform with an App Store for Healthcare Payer and Provider. Prior to joining Edifecs, he served as Chief Technology Officer and VP of engineering at Secrata.com, which provides military-grade cloud security solutions. Previously, he worked as Chief Technology Officer and Executive VP at ClipCard and as Chief Architect for IBMs SmartCloud enterprise. He also served as principal group program manager on Microsofts client virtualization team, which was responsible for shipping Virtual PC on Windows 7, and as a dev manager on the Citrix group that built Citrix Presentation Server (now Citrix XenApp). Prasad has a masters in computer science from the University of Washington, doctoral training in engineering and computer science from the University of Florida and post-doctoral training from the University of Texas. He serves as a Professor of Practice at the University of the Pacifics Data Science department. About Me Hometown:San Francisco Bay Area Field of research/teaching:Machine Learning and AI; Distributed Systems What is your research focus in a bit more detail? Is your current research path what you always had in mind for yourself, or has it evolved somewhat? If so, how/why? Distributed Systems, Cloud and Virtualization Healthcare Machine Learning Artificial Intelligence for Healthcare I published work and patents in Distributed Systems (Cloud and Virtualization) as they relate to work experience at Citrix (Presentation Virtualization), Microsoft (VM) and IBM Research. My research and teaching evolved from this experience. What courses/subjects do you teach? Distributed Systems Machine Learning and AI Healthcare Machine Learning Artificial Intelligence for Healthcare Cloud and Virtualization Computational Science and Visualization What do you enjoy most/find most rewarding about what you teach? Is there anything notable or unique about the kind of students that you teach? The experience of teaching. : diff --git a/src/data/compiled_bios/5296.txt b/src/data/compiled_bios/5296.txt new file mode 100644 index 0000000000..c3ac08ea71 --- /dev/null +++ b/src/data/compiled_bios/5296.txt @@ -0,0 +1 @@ + Education PhD in Computer Science and Engineering, University of Michigan MS in Electrical Engineering,Korea Advanced Institute of Science and Technology Korea BS in Electrical Engineering,Korea Advanced Institute of Science and Technology Korea Biography Professor Song is currently working as a software engineer in Microsofts Azure cloud business. Prior to joining Microsoft, he was a tenured associate professor of computer science at the University of Wisconsin-Green Bay. He received his PhD in computer science and engineering from the University of Michigan, Ann Arbor. His BS and MS degrees are in electrical engineering from Korea Advanced Institute of Science and Technology. Before coming to US for his doctoral degree, he worked at Samsung SDS as a systems engineer. His experiences in both academia and industry and also in both computer science and as a non-computer science major gave him some unique insight regarding how one should develop their career in this field. He recently started teaching part-time, after missing the joy of learning and sharing, and enjoys it very much. Field of research/teaching CS5800 Algorithms What is your educational background? Breadths in electrical engineering, computer engineering, and computer science even extending to theoretical computer science. : diff --git a/src/data/compiled_bios/5297.txt b/src/data/compiled_bios/5297.txt new file mode 100644 index 0000000000..4604e70c90 --- /dev/null +++ b/src/data/compiled_bios/5297.txt @@ -0,0 +1 @@ + Education PhD, Northeastern University Biography Zhifeng Sun received his PhD from Northeastern University in 2012, specializing in approximation algorithms, algorithmic game theory, and distributed computing. He now works full-time at Google, building large scale, distributed data processing system. In his free time, he enjoys hiking, traveling to different national parks, and playing basketball. : diff --git a/src/data/compiled_bios/5298.txt b/src/data/compiled_bios/5298.txt new file mode 100644 index 0000000000..c19e5ace65 --- /dev/null +++ b/src/data/compiled_bios/5298.txt @@ -0,0 +1 @@ + Biography Jorge Toro is a Human Computer Interaction Engineer at Morse Corp in Cambridge, MA. He is actively involved in the design and development of interactive systems for personnel in the DoD (both military and civilian). His professional interests are in the areas of User Interfaces, User Experience, Information Architecture, Human Factors, Human Computer Interaction and any other field associated with the creation of usable, efficient and effective user interfaces for people. After finishing his Ph.D. in 2005 at DePaul University in Chicago, IL, Jorge moved to Boston where worked as a Software Engineer at VT MAK in Cambridge, MA. After a few years in the software development arena and given his deep interest in HCI, Jorge joined the team at ICS in Waltham, MA where he worked as a UX Engineering consultant. During his tenure at ICS, Jorge provided consulting services to a variety of companies including Shell, Intel, Panasonic, Microsoft, and Electrolux. After ICS, Jorge worked as a HCI Engineer at Shell Techworks in Cambridge, MA, where he worked in various multidisciplinary projects for the Oil & Gas industry focusing primarily on user requirement elicitation, user safety, user interface design, and feasibility studies. Jorge has also lectured undergraduate and graduate level courses in Human Computer Interaction, Computer Science and Computer Graphics. He holds a BS and MS in Computer Science, a MS in Human Computer Interaction and a Ph.D. in Computer Science with concentrations in Software Engineering, Human Computer Interaction and Computer Graphics A native from Colombia and loyal coffee drinker, Jorge is a sworn enemy of fruit flies! EDUCATION PhD in Computer Science, DePaul University, School of CTI Chicago, IL (Computer Graphics, Software Engineering, and Human Computer Interaction.) MS in Human Computer Interaction, DePaul University, School of CTI Chicago, IL (User interface design, prototyping, and usability testing.) MS in Computer Science, University of Los Andes Bogot, Colombia (Robotics and Computer Graphics.) BS in Computer Science, University of Los Andes Bogot, Colombia (Robotics and Computer Graphics.) Field of research/teaching My field of research is centered around HCI. What are the specifics of your educational background? My educational background is a hybrid between Computer Science (Software development) and Human Computer Interaction. My undergraduate degree as well as my first masters degree were primarily on software development for Robotics applications (Path Planning) and Computer Graphics. Later I developed a strong interest in User Interfaces since that was an area that never learned in school and it was totally neglected in the industry. The result of such interest landed me in the US where I pursued the Masters in HCI and later the Ph.D. in CS with focus in HCI. What is your research focus in a bit more detail? Is your current research path what you always had in mind for yourself, or has it evolved somewhat? If so, how/why? For research, I am interested in developing improved analytical models and methods for design, evaluation, and testing of mobile tools to help people with disabilities. I also have a personal interest in researching analytic models based upon user data to build better information architectures. One product of this research was the CardZort software which I authored. I also researched the practical application of augmented reality in the Oil and Gas sector and as well as the impact of situational awareness during the operation of complex systems (all of these resulted in internal, confidential reports). Most recently I have primarily worked in applying what I have learned in HCI to produce better and more efficient tools for use primarily in air drops for military research and analysis. These research interests possess real-world application in the areas of product design, information architecture design, emerging technologies, and UX design; which can complement the existing research interests of the department. What courses/subjects do you teach? Thus far, my areas of experience in teaching have been in Human Computer Interaction (prototyping techniques, usability inspection methods, information architecture, user interface design), Computer Science (programming in C, C++, JAVA, C#, VB.NET), data structures in C and C++, web programming, object oriented programming), and Computer Graphics (modeling, rendering, and scripting). : diff --git a/src/data/compiled_bios/5299.txt b/src/data/compiled_bios/5299.txt new file mode 100644 index 0000000000..11686678d3 --- /dev/null +++ b/src/data/compiled_bios/5299.txt @@ -0,0 +1 @@ + Education MBA, Plymouth State University BSN, College of Saint Teresa Biography As Associate Vice President of MEDITECH, Catherine Turner, BSN, MBA, RN-BC, is responsible for all clinical implementations working closely with healthcare executives to ensure EHR adoption is in accordance with best practices. With a passion for ensuring that clinicians take advantage of technology to provide safer care while optimizing workflows, Professor Turner works with her dedicated team to ensure that success is achieved. As an advisor on MEDITECHs Patient Safety Review Board and Customer Patient Safety Advisory Board, she instills the culture of patient safety throughout the organization. Since joining MEDITECH in 1991, she lends her expertise to the implementation, development and marketing of a variety of clinical solutions. Professor Turner is well-known as a leader in the nursing informatics community. She is the Director of MEDITECHs Nurse Informatics Program and spearheads the annual Nurse Conference. She is an active member of the HIMSS CNO-CNIO Vendor Roundtable Summit, a member of the Healthcare Information Management System Society (HIMSS), and the American Nursing Informatics Association (ANIA), and represents MEDITECHs Nursing Informatics Program for the Alliance for Nursing Informatics (ANI). Professor Turner is a regular reviewer for their publications, as well as a popular presenter at nationwide conferences and past content expert for AHIMA publications. She is an adjunct professor at Northeastern Universitys Bouv College of Health Sciences, Health Informatics Program, and School of Nursing, having taught programs both in the classroom and online, and recently developed and taught Introduction to Health Informatics in a newly formed program at the University of Miami, FL. Professor Turner has over a decades worth of experience as a licensed registered nurse in both the acute and outpatient settings. As nurse manager at Concord Hospital (Concord, NH), she helped lead the implementation of a patient care system, embracing nursing informatics throughout the rest of her career. She later became manager of mammography clinics in Bedford and Dover, New Hampshire. Professor Turner received her MBA from Plymouth State University (Plymouth, NH) and her certification in nursing informatics from the American Nurses Credentialing Center. She earned her BSN at the College of St. Teresa (Winona, MN), affiliated with the Mayo Clinic hospitals (Rochester, MN), and was invited to join the Gamma Epsilon chapter of the Honor Society of Nursing, Sigma Theta Tau International. About Me Hometown: Chelmsford, MA Field of Research/Teaching: Nursing/Nursing Informatics, Healthcare Informatics and EHR : diff --git a/src/data/compiled_bios/53.txt b/src/data/compiled_bios/53.txt new file mode 100644 index 0000000000..e8ec964b83 --- /dev/null +++ b/src/data/compiled_bios/53.txt @@ -0,0 +1 @@ + Steven M. LaValle Professor, University of Illinois Currently on leave at University of Oulu, Finland Email: lavalle uiuc.edu HOME GROUP PROJECTS PAPERS BOOKS COURSES CODE NUGGETS MISC Latest News Cool new robotics paper In September 2017, my PhD student Alli Nilles presented this fun paper, which made me wish I were doing more robotics recently. Periodic Trajectories of Mobile Robots . A. Q. Nilles, I. Becerra, and S. M. LaValle. In IEEE Conference on Intelligent Robots and Systems , 2017. [pdf] Free VR Book I have finished my new VR book , which you can download for free. It takes a holistic approach to VR and related fields by combining software, hardware, perceptual psychology, and human physiology into a single discipline. It also connects discussion to current consumer trends in VR and AR. It will be published in hard-copy form by Cambridge University Press. Huawei In December 2016, I became the Chief Scientist of VR/AR/MR for Huawei Technologies, which makes me their global leader for research and product development. For those who don't know, Huawei is an employee-owned tech company with over 170,000 people and offices in over 100 countries. It is a leader in communications infrastructure and ranked third in smartphone revenues. I remain a Professor at UIUC, so that we may collaborate closely with (and support) academic researchers and students. Some press: China Daily Weixin (in Chinese) VR MOOC Try out my new virtual reality MOOC (free online course with videos, also on YouTube ), which was created by NPTEL and IIT Madras. Many thanks to Prof. Manivannan, and all the other professors, students, and staff at IIT who offered great hospitality during my stay. The course is a companion to my BOOC (pronounced like fluke, so that it rhymes with MOOC). Oculus VR Patents I was never a big fan of patents, but now I have a couple based on my contributions to the Oculus Rift and Samsung Gear VR headsets. One is for VR system calibration and another is for perception-based tracking . These are the first two Oculus patents, and there are only three to date. Busy Summer I gave keynote addresses at two conferences that study how VR affects organisms: The Bernstein Sparks Workshop on Multi-modal closed-loop stimulation and virtual realities and the ACM SIGGRAPH Symposium on Applied Perception . I met so many interesting scientists! I also offered a two-week course on VR at IIT Madras. VR Workshop I am co-organizing a workshop on virtual reality, bringing together industry leaders and research experts. It will be in Seattle on May 26, 2015. More details appear on the web page . March Press I had another interview with the Chicago Tribune (March 13, 2015). My early Oculus work, from Finland, was covered in the Finnish press on March 29, 2015. Also, I was quoted in a Daily Illini article . Chicago Tribune Interview In this article , published on Sept. 18, 2014, my perspective on research, Oculus, robotics, and virtual reality are covered. Back at Illinois After two years away, I returned to the university in August 2014 with renewed energy and focus. Since September 2012, I started helping Oculus VR with head tracking when it was only a few people. In March 2013, I joined full-time in Irvine as the head scientist, mainly working on tracking and perceptual psychology. Three other former members of my lab have been involved: Anna Yershova, Max Katsev, and Dan Gierl. In March 2014, Oculus VR was purchased by Facebook . (Also see the university news story .) Also, in Spring 2015 (Jan-May) I am offering a UIUC course on virtual reality (and over time, I hope to make as many open materials as possible). Older News 2011 Steven M. LaValle diff --git a/src/data/compiled_bios/530.txt b/src/data/compiled_bios/530.txt new file mode 100644 index 0000000000..90e76dca9e --- /dev/null +++ b/src/data/compiled_bios/530.txt @@ -0,0 +1 @@ +Junchen Jiang Assistant ProfessorDepartment of Computer Science Email: junchenj@cs.uchicago.edu Office: JCL 367 Website: https://www.cs.cmu.edu/~junchenj/ Research: big data, cloud computing, computer networks, distributed systems diff --git a/src/data/compiled_bios/5300.txt b/src/data/compiled_bios/5300.txt new file mode 100644 index 0000000000..1356c40ed4 --- /dev/null +++ b/src/data/compiled_bios/5300.txt @@ -0,0 +1 @@ + Education Masters degrees in Mathematics and Computer Science,Indian Institute of Technology, Madras Doctoral degree, University of Massachusetts, Amherst About Me Hometown:Lexington, MA Field of research/teaching:Algorithms, AI, Machine Learning What are the specifics of your educational background? I earned Masters degrees in Mathematics and Computer Science from the Indian Institute of Technology, Madras. My doctoral degree is from University of Massachusetts, Amherst. What are your research interests? My doctoral work was in the areas of Robotics Planning. My current interests are in Machine Learning. What courses do you teach? I am teaching graduate-level courses on Algorithms and Information Retrieval this Fall. I have taught a course on Machine Learning in the recent past, and have taught a variety of undergraduate and graduate courses earlier in my career. What do you enjoy most/find most rewarding about what you teach? Is there anything notable or unique about the kind of students that you teach? I enjoy interacting with students. I especially enjoy problem solving and system design. It is rewarding to participate in, guide and encourage students as they engage in learning. Where did you grow up or spend your most defining years? Chennai, India Where did you study? Chennai, India and Amherst, Massachusetts. I feel very fortunate to have had very caring and thoughtful mentors throughout my education. What are the specifics of your industry experience? I worked in a company that worked in Distributed Simulation. My work there was largely applied research. Subsequently, I worked in Telecommunications, applying AI and reasoning to fault isolation in circuits. I enjoyed learning about evolving communication technologies, working in teams and mentoring team members. : diff --git a/src/data/compiled_bios/5301.txt b/src/data/compiled_bios/5301.txt new file mode 100644 index 0000000000..f439f60e1f --- /dev/null +++ b/src/data/compiled_bios/5301.txt @@ -0,0 +1 @@ + Biography Currently working on the Machine Learning platform at Apple to power applied ML and ML research inside the company, and also as a guest-lecturer at Northeastern University (Seattle Campus) teaching the course large-scale parallel data processing in the cloud. During my tenure at AWS, I led the design of an incubation project to deliver a new fully managed NoSQL database service. In addition, I delivered a working prototype that adds some of the key SQL features onto the flagship NoSQL database (DynamoDB) at AWS. Both will be announced in Re:invent 2018. From 2008 to 2016 at MSFT, my main focus has been on building and supporting web-scale data processing platform-as-a-service (PaaS) which provides query-as-a-service. I also managed the query optimizer team during that time. The systems include 1. a web-scale batch data processing system, named Cosmos/SCOPE which powered MSFTs Online Service business divisions and later evolved into U-SQL, part of MSFTs public data data solution; 2. an MPP (Massively Parallel Processing) system as a service for interactive analytic processing; 3. a web-scale in-memory graph database as a service (an incubation project at Microsoft Research) for low-latency, high throughput OLTP workloads. Before 2008, I have worked mainly on the query optimization in SQL Server product group. In a nutshell, the areas of my work include: Large scale in-memory graph database on top of distributed transactional memory Federated query processing for heterogeneous cloud-scale data sources Dynamic query optimization Cloud-scale distributed computation platform Query optimization for cloud-scale MapReduce environments Indexing strategies at MapReduce environment Large scale testing infrastructure with automatic scaling Workload analysis and physical data design for big data Query optimization for relational databases Cardinality estimation and costing Parallel database Bitmap indexing for OLAP and data warehouses Education PhD in Computer Science, Technische Universitt Darmstadt About Me Hometown:Seattle Field of research/teaching:Database, Data Platform as Services, Parallel Data Processing What are the specifics of your educational background? PhD in Computer Science, Technische Universitt Darmstadt, Germany. What is your research focus in a bit more detail? Is your current research path what you always had in mind for yourself, or has it evolved somewhat? If so, how/why? Currently focusing on Data Platform for ML; in the past I have worked on Query Optimization,Parallel Database, and Large-Scale Data Platform as Services. What courses/subjects do you teach? Parallel Data Processing What are the specifics of your industry experience? I have worked on SQL Server Query Optimizer for 7 years, followed by another 7 years at Bing building cloud-scale data processing platform. Later I spent one year at MICROSOFT Research building a scale-out in-memory graph database for OLTP workloads. After Microsoft, I spent two years at AWS designing distributed transaction for DynamoDB. : diff --git a/src/data/compiled_bios/5302.txt b/src/data/compiled_bios/5302.txt new file mode 100644 index 0000000000..edf487bff6 --- /dev/null +++ b/src/data/compiled_bios/5302.txt @@ -0,0 +1 @@ + Emory University | Emory College | Graduate School | Emory IT Eugene Agichtein Winship Associate Professor Computer Science & Informatics Computer Science Department , Emory University [ Google Scholar profile ] [ DBLP entry ] [ CV ] Contact information: Web: http://www.mathcs.emory.edu/~eugene/ E-mail: eugene dot agichtein at emory dot edu Telephone : (404) 727-7962 Fax: (404) 727-5611 Office: E500 (5th floor), Emerson Hall Mailing Address: Eugene Agichtein Math & CS Department, Emory University 400 Dowman Drive, Suite W401 Atlanta , Georgia 30322, USA News Interested in doing research in the Emory IR Lab ? : Looking for great Ph.D. students to work on Web search, text and data mining, automated question answering projects. ... more news: my Twitter profile Research I lead the Emory Intelligent Information Access Lab (IRLab) . We work on information retrieval and text and data mining : web search and information retrieval , focus on search behavior social media analysis, and online social interactions , computational social science text mining and information extraction , question answering medical applications: early detection of Alzheimer's disease , clinical decision support Students and Researchers : Ali Ahmadvand (2017-). Sarah Fillwock (2018-). Payam Karisani (2016-). Zihao Wang (2016-). Harshita Sahijwani (2017-) . Sergey Volokhin (2017-) . Dr. Qi Guo, Ph.D. (2007-2012). First position: Applied Research Scientist at Microsoft Bing . Now researcher at Google. Dr. Alexander Kotov , Postdoctoral Researcher, 2011-2013. First position: Assistant Professor at Wayne State University Dr. Dmitry Lagun (2009-2014). First position: Research Scientist, Google Dr. Qiaoling Liu (2009-2014). First position: Data Scientist at CareerBuilder.com Dr. Denis Savenkov (2011-2017). First position: Research Scientist, Facebook Dr. Yu Wang (2009-2014). First position: founder of a tech startup. Dr. Mikhail Ageev, visiting from Moscow State University, Winter 2013 Pavel Braslavski , Fulbright Faculty Scholar, visiting 2015-2016 Nikita Zhiltsov , Fulbright Scholar, visiting 2012-13 Teaching Fall 2017: CS325/CS557 : Artificial Intelligence Recent Professional Service Program Committee Chair : WWW 2017 Conference Program Committee Chair : WSDM 2012 Conference Biographical Sketch Eugene Agichtein is an Associate Professor in the Math and Computer Science department at Emory University, and is on the core faculty of the Emory Biomedical Informatics program. Dr. Agichtein founded and leads the Emory Intelligent Information Access Laboratory (IR Lab). Eugene's general research interests are in web search and information retrieval, text and data mining, and human-computer interaction, with a key focus on medical informatics and social media applications. Eugene received a Ph.D. in Computer Science from Columbia University, and a B.S. in Engineering from The Cooper Union. Eugene is a Sloan Research Fellow, a member of the DARPA Computer Science Study Group, and a recipient of four best paper awards, most recently at the SIGIR 2011 and WSDM 2014 conferences. His work has been supported by grants from DARPA, the National Institutes of Health, and the National Science Foundation, and by gifts from Cisco, Google, HP Labs, Microsoft, Motorola, the Sloan Foundation, and Yahoo! Labs. Last updated: September 2017 diff --git a/src/data/compiled_bios/5303.txt b/src/data/compiled_bios/5303.txt new file mode 100644 index 0000000000..1970564f39 --- /dev/null +++ b/src/data/compiled_bios/5303.txt @@ -0,0 +1 @@ +Associate Professor. Director of Graduate Studies in Computer Science and Informatics (DGS). Portfolio: CSI graduate program administration, including strategic vision and planning, recruiting, advising, and course planning.. . Office : E418. Phone : 404-727-0560. Email : dorian.arnold@emory.edu . Office Hours: Tuesday: 12:00PM - 1:30PM Wednesday: 12:00PM - 1:30PM Or by appointment. diff --git a/src/data/compiled_bios/5304.txt b/src/data/compiled_bios/5304.txt new file mode 100644 index 0000000000..4d2f7e17a9 --- /dev/null +++ b/src/data/compiled_bios/5304.txt @@ -0,0 +1 @@ +Emeritus Faculty. . Office : . Phone : . Email : mathcmb@emory.edu . Education: Ph.D. (1969) Vanderbilt University M.S. (1957) Seoul National University B.S. (1954) Seoul National University. Activities: Algebra, Combinatorics, Computer Science, Artificial Intelligence. diff --git a/src/data/compiled_bios/5305.txt b/src/data/compiled_bios/5305.txt new file mode 100644 index 0000000000..2db4d76151 --- /dev/null +++ b/src/data/compiled_bios/5305.txt @@ -0,0 +1 @@ +Research Associate. . Office : N408. Phone : . Email : xiaotong.chen2@emory.edu . diff --git a/src/data/compiled_bios/5306.txt b/src/data/compiled_bios/5306.txt new file mode 100644 index 0000000000..2d34412b85 --- /dev/null +++ b/src/data/compiled_bios/5306.txt @@ -0,0 +1 @@ + Files MS-orientation office-hours Projects Directories 000 007 00-Google 153 170 170.2010 171 171z 255 323 355 355-Allen 377 450 455 457 554 558 558a 558-old 561 584 584-StreamDB 590 999 Advisees Common Compiler Computer-Simulation Hiring-students Misc MS Piazza RemoteAccess SpecialChar SSH StudentComments X diff --git a/src/data/compiled_bios/5307.txt b/src/data/compiled_bios/5307.txt new file mode 100644 index 0000000000..d2af3c2025 --- /dev/null +++ b/src/data/compiled_bios/5307.txt @@ -0,0 +1 @@ + Jinho D. Choi Department of Computer Science Emory University Home Bio/CV Academic Research Publications About me Assistant professor at Emory University : Department of Computer Science . Institute of Quantitative Theory and Methods . Program of Linguistics . Director of the Emory NLP Research Lab . Faculty advisor of the Korean-American Scientists and Engineers Association . Contact Office: Mathematics and Science Center E414 Address: 400 Dowman Dr, Atlanta, GA 30322 Phone: (404) 712-5694, Fax: (404) 727-5611 Email: firstname.lastname @emory.edu Research My research focuses on the advancement of Natural Language Processing (NLP) for "robustness" on diverse data and "scalability" on large data. The goal is to develop NLP models that are readily available for interdisciplinary research. I believe that NLP models we develop can change the way you analyze data, which will open up many new opportunities to conduct innovative research. All our NLP models (e.g., dependency parsing, named entity recognition, sentiment analysis, entity linking, question answering) are publicly available through our open-source project in Github. In 2015, I created a new project called " Character Mining ", aiming to extract implicit and explicit information about individual characters in multiparty dialogue. The long-term goal is to develop a machine comprehension system that understands entity-centric contexts from human conversations and helps us reason better about those contexts. Currently, this project focuses on the following tasks: character identification , emotion detection , reading comprehension , and multi-modal learning. Since 2018, we have developed a cloud-based NLP platform called ELIT , Evolution of Language and Information Technology, that brings the latest NLP technology into the cloud. As the state-of-the-art NLP models consume more and more resources (e.g., GPUs, RAMs), they become almost impossible to be run on personal computers. Researchers can take advantage of the ELIT platform through our web-APIs, which requires no installation on local machines and minimum knowledge in any programming language, while developers can contribute to the platform by deploying their own models. News [01/07/2019] I am one of the area chairs for the Annual Meeting of the Association for Computational Linguistics (ACL'19). News from previous years . 2014-2019 Jinho D. Choi diff --git a/src/data/compiled_bios/5308.txt b/src/data/compiled_bios/5308.txt new file mode 100644 index 0000000000..9a32d90546 --- /dev/null +++ b/src/data/compiled_bios/5308.txt @@ -0,0 +1 @@ +Associated Faculty. . Office : . Phone : . Email : gari.clifford@emory.edu . Research Groups : Biomedical Informatics. diff --git a/src/data/compiled_bios/5309.txt b/src/data/compiled_bios/5309.txt new file mode 100644 index 0000000000..e8b9496b18 --- /dev/null +++ b/src/data/compiled_bios/5309.txt @@ -0,0 +1 @@ +Associated Faculty. . Office : . Phone : . Email : Lee.Cooper@emory.edu . diff --git a/src/data/compiled_bios/531.txt b/src/data/compiled_bios/531.txt new file mode 100644 index 0000000000..48205261f6 --- /dev/null +++ b/src/data/compiled_bios/531.txt @@ -0,0 +1 @@ +Karen Livescu Associate ProfessorToyota Technological Institute Associate Professor, Part-TimeDepartment of Computer Science Email: klivescu@ttic.edu Phone: (773) 834-2549 Office: Toyota Technological Institute Website: http://ttic.uchicago.edu/~klivescu/ Research: machine learning, speech and language processing diff --git a/src/data/compiled_bios/5310.txt b/src/data/compiled_bios/5310.txt new file mode 100644 index 0000000000..226d82e218 --- /dev/null +++ b/src/data/compiled_bios/5310.txt @@ -0,0 +1 @@ +Mobirise Website Builder v4.8.8 HOME TEACHING RESEARCH PUBLICATIONS Mobirise Nosayba El-Sayed I am a new Lecture-Track Faculty in the Computer Science department at Emory University. Bio. Before joining Emory, I was a Postdoctoral Researcher at MIT , working on joint projects with Qatar Computing Research Institute ( QCRI ) in the area ofdata-driven system optimization in modern datacenters. I worked with Dr. Daniel Sanchez at MIT and Dr. Xiaosong Ma at QCRI. Before that, I completed my PhD at the University of Toronto with Dr. Bianca Schroeder . My thesis focused on the analysis and design of reliable datacenters. I also interned at Amazon Web Services where I worked on the prediction of power-outages in Amazon's datacenters. Contact information available at Emory's CS Website . Teaching Activities Spring 2019: I will be teaching CS171 - Introduction to Computer Science II, Section 1 CS170 - Introduction to Computer Science I, Sections 1 & 2 Fall 2018: I currently teach CS171 - Introduction to Computer Science II . In a previous life (aka grad school), I taught Database Systems at the University of Toronto. Research Activities Large-scale systems, like supercomputers and cloud-computing datacenters, are quite challenging to manage ( trust me, I wrote a thesis about it ). I am generally interested in designing and implementing data-driven techniques that exploit the different kinds of logs generated in these systems to improve how they operate, while utilizing simple machine-learning techniques. See my research page for more details on past and current projects. I am currently looking for students who are interested in working on data-driven analysis of large systems in online shopping companies. See my research page for more details . diff --git a/src/data/compiled_bios/5311.txt b/src/data/compiled_bios/5311.txt new file mode 100644 index 0000000000..b2318b54e0 --- /dev/null +++ b/src/data/compiled_bios/5311.txt @@ -0,0 +1 @@ + Home Research Dr. Baowei Fei Group Members Publications Facility Software Job Opportunities Contact Information News Links Welcome to the Quantitative BioImaging Laboratory (QBIL) at Emory University School of Medicine. We envision that QBIL will be a leading force in a new era of personalized medicine where quantitative methods of engineering and systems sciences have a pivotal role in disease detection, diagnostics, and treatment. The mission of the QBIL is to shape and advance the science and technology of biomedical imaging through innovative research and inspiring education, with the goal of becoming a destination laboratory internationally recognized as a first choice of both researchers and students. At QBIL, our faculty members, researchers and students play leading roles from basic science discovery to the creation, clinical evolution, and commercialization of new technologies, devices and therapies. QBIL is committed to excellence in scholarship and to the training of the next generation of imaging scientists. QBIL serves the community through advanced innovation, translational research and clinical application of imaging sciences. Advances in molecular medicine offer the potential to move beyond traditional cytotoxic anticancer treatments and to develop safer and more effective targeted therapies based on the molecular characteristics of a patients tumor. Significant translational research efforts are needed to realize these emerging opportunities.There are urgent needs to develop Quantitative Imaging methods and clinical decision software tools. Such quantitative imaging may require the use of multiple imaging modalities.The development of anatomical, functional, and molecular imaging methods requires proper recognition and addressing the complexities associated with the expression of suspected biomarkers. A full understanding of the response patterns for the potential surrogate biomarkers, e.g. those used to monitor angiogenesis, hypoxia, and necrosis, may often require the use of modeling and/or multiparametric analysis of the image data in order to examine quantitative correlations with other clinical metadata and clinical outcomes.These requirements generally hold for the measurements of responses to drugs or radiation therapy and for image-guided interventions. Our research concentrates on the development and application of Quantitative Imaging technologies. Specifically, we are interested in synthesizing the information obtained from multiple imaging modalities and sources in order to study disease mechanisms and/or to aid in making clinical decisions. Our research goals are to (1) provide efficient methods and procedures for mapping the properties of tissue in space and time, (2) integrate multiple information streams acquired from different imaging technologies into a single coherent picture, and (3) validate and interpret in vivo imaging data for biologic, physiologic, and pathologic interpretation. The research will combine multimodality imaging and multidimensional data to exploit our current knowledge of the genetic and molecular bases of various diseases and therefore to have substantial positive implications for disease prevention, detection, diagnosis, and therapy. Baowei Fei, Ph.D., Eng.D. Director, Quantitative BioImaging Laboratory Georgia Cancer Coalition Distinguished Scholar Content of this site is Copyright 2011 Quantitative BioImaging Laboratory (QBIL) or otherwise noted. Contact bfei@emory.edu for questions about the use of this site's content. diff --git a/src/data/compiled_bios/5312.txt b/src/data/compiled_bios/5312.txt new file mode 100644 index 0000000000..e79869b08f --- /dev/null +++ b/src/data/compiled_bios/5312.txt @@ -0,0 +1 @@ +Lecturer. Co-Director of Undergraduate Studies (Co-DUS). Portfolio: Undergraduate Studies. . Office : W410. Phone : . Email : davide.fossati@emory.edu . Research Groups : Center for Language and Information Research (CLIR). Office Hours: Friday: 1:00PM - 3:00PM. diff --git a/src/data/compiled_bios/5313.txt b/src/data/compiled_bios/5313.txt new file mode 100644 index 0000000000..d11b156ac6 --- /dev/null +++ b/src/data/compiled_bios/5313.txt @@ -0,0 +1 @@ +Associated Faculty. . Office : . Phone : 404-727-7214. Email : mgalins@emory.edu . diff --git a/src/data/compiled_bios/5314.txt b/src/data/compiled_bios/5314.txt new file mode 100644 index 0000000000..298b7374a3 --- /dev/null +++ b/src/data/compiled_bios/5314.txt @@ -0,0 +1 @@ + Michelangelo Grigni Associate Professor, Emory University, Computer Science and Mathematics . Contact: Mail: Emory CS Dept. 400 Dowman Dr NE, W401 Atlanta GA 30322-1005, USA Office: Room W426, Math & Science Center ( map1 , map2 ) Phone: 404-727-7922 Email: mgrigni@emory.edu (or mgrigni@gmail.com ) Mic's Pages: Interests: complexity, algorithms ( vita ) Teaching: CS424/524 , CS323 , Putnam , office hours , etc. Quote: Don't believe everything you read on the internet. Abraham Lincoln Last Modified: 13 Jan 2019 diff --git a/src/data/compiled_bios/5315.txt b/src/data/compiled_bios/5315.txt new file mode 100644 index 0000000000..2dd534b085 --- /dev/null +++ b/src/data/compiled_bios/5315.txt @@ -0,0 +1 @@ +Associated Faculty. . Office : . Phone : . Email : yguo2@emory.edu . diff --git a/src/data/compiled_bios/5316.txt b/src/data/compiled_bios/5316.txt new file mode 100644 index 0000000000..e15000eef5 --- /dev/null +++ b/src/data/compiled_bios/5316.txt @@ -0,0 +1 @@ +Associated Faculty. . Office : . Phone : 404-727-1881. Email : vhertzb@emory.edu . diff --git a/src/data/compiled_bios/5317.txt b/src/data/compiled_bios/5317.txt new file mode 100644 index 0000000000..44009c0507 --- /dev/null +++ b/src/data/compiled_bios/5317.txt @@ -0,0 +1 @@ + about group research publications courses cv Joyce C Ho Assistant Professor, Emory University . 400 Dowman Dr Atlanta, GA 30322 (404)-727-5605 I am an assistant professor in the Computer Science Department at Emory University. My research is in data mining and machine learning, focusing on healthcare applications. I received my PhD from UT Austin, M.S. and B.S. from MIT. I co-founded a successful healthcare analytics company (Accordion Health) and previously worked at Lawrence Livermore National Laboratory. news Sep 20, 2018 NSF funds a joint project with Dr. Li Xiong and Dr. Jimeng Sun on TIMES: A tensor factorization platform for spatio-temporal data . Aug 1, 2018 PIVETED-Granite wins Best Student Paper in MLMH Workshop at KDD 2018. Jul 10, 2018 NIH funds project on Leveraging modern analytic approaches to improve diabetes outcomes . Jun 1, 2018 2018 Grace Hopper Conference Faculty Scholar recipient. Mar 31, 2017 PheKnow-Cloud wins 2017 Distinguished Clinical Research Informatics Paper Award. Contact me via email. Copyright 2018 Joyce C Ho. Powered by Jekyll with al-folio theme. Hosted by GitHub Pages . diff --git a/src/data/compiled_bios/5318.txt b/src/data/compiled_bios/5318.txt new file mode 100644 index 0000000000..783fa395c5 --- /dev/null +++ b/src/data/compiled_bios/5318.txt @@ -0,0 +1 @@ + Schools Undergraduate Emory College Oxford College Business School School of Nursing Community Center for Lifelong Learning Professional Education Pre-College Program Graduate Business School Graduate School School of Law School of Medicine School of Nursing School of Public Health School of Theology Libraries Libraries Main (Robert W. Woodruff) Business Chemistry Health Sciences Law MARBL Matheson Reading Room Music & Media Oxford College Theology Library Tools discoverE Databases eJournals Electronic Dissertations ILLiad Library Guides Reserves Direct EUCLID Resources Resources Administrative Offices Emory Healthcare Campaign Emory Academic Calendars Bookstores Campus Maps Shuttles and Parking Athletics: Emory Eagles Arts at Emory Michael C. Carlos Museum H1N1 (Swine) Flu Info Resources Emergency Computing Blackboard LearnLink OPUS Outlook Web Access Webmail PeopleSoft Financials: Compass Employment Human Resources 2009 Campus Security Report HOME RESEARCH AREAS CANCER GENOMICS CLINICAL INFORMATICS GLOBAL HEALTH MEDICAL IMAGING MHEALTH NEUROINFORMATICS PEOPLE FACULTY STAFF STUDENTS EDUCATION PHD PROGRAM MASTERS COURSES NEWS NEWS ARCHIVE SEMINARS JOIN US ABOUT BMI ABOUT BMI DEPT. FROM THE CHAIR FACULTY STAFF STUDENTS Jun Kong, PhD Share Last Updated: June 09, 2014 Assistant Professor, Biomedical Informatics [ Google Scholar Publications ] Research Summary: Dr. Kong's research interests include biomedical image analysis, computer-aid diagnosis, machine learning, whole-slide microscopy image processing, computer vision, bioimaging informatics, and signal processing for large-scale biomedical translational research. He has established multiple Computer-aided Diagnosis systems and quantitative data integration methods for a large number of cancer diseases, such as neuroblastoma, lymphoma and glioblastoma multiforme. Personal webpage: http://insilico.cci.emory.edu/~jkong/index.html HOME | CONTACTS | EMERGENCY | EMPLOYMENT | MAKE A GIFT | EMORY'S WEB | SITE MAP | A-Z INDEX Copyright 2019 Emory University - All Rights Reserved | 201 Dowman Drive, Atlanta, Georgia 30322 USA 404.727.6123 diff --git a/src/data/compiled_bios/5319.txt b/src/data/compiled_bios/5319.txt new file mode 100644 index 0000000000..088eca3f9d --- /dev/null +++ b/src/data/compiled_bios/5319.txt @@ -0,0 +1 @@ +Lecturer. Co-Director Of Undergraduate Studies (Co-DUS). Portfolio: Undergraduate Studies. . Office : W402. Phone : 404-727-0885. Email : slafleu@emory.edu . Office Hours: Monday: 10:00AM - 1:00PM Wednesday: 10:00AM - 1:00PM Thursday: 1:00PM - 2:30PM. diff --git a/src/data/compiled_bios/532.txt b/src/data/compiled_bios/532.txt new file mode 100644 index 0000000000..1d4ca9451d --- /dev/null +++ b/src/data/compiled_bios/532.txt @@ -0,0 +1 @@ +Ketan Mulmuley ProfessorDepartment of Computer Science Email: mulmuley@cs.uchicago.edu Phone: (773) 702-1270 Office: JCL 245 Website: http://gct.cs.uchicago.edu Research: geometric complexity theory, p vs. np, theory Interests GCT approach to the $P$ vs. $NP$ problem Research Current work: Developing an approach to P vs. NP and related problems through algebraic geometry and representation theory (Geometric complexity theory) Please see papers at http://gct.cs.uchicago.edu List of Publications Available in HTML. diff --git a/src/data/compiled_bios/5320.txt b/src/data/compiled_bios/5320.txt new file mode 100644 index 0000000000..307159df4c --- /dev/null +++ b/src/data/compiled_bios/5320.txt @@ -0,0 +1 @@ +Postdoctoral Fellow. . Office : N424. Phone : . Email : jliu253@emory.edu . diff --git a/src/data/compiled_bios/5321.txt b/src/data/compiled_bios/5321.txt new file mode 100644 index 0000000000..7cb1944884 --- /dev/null +++ b/src/data/compiled_bios/5321.txt @@ -0,0 +1 @@ + Emory University | Emory College | Graduate School | Emory IT - --> CS171: Introduction to Computer Science II diff --git a/src/data/compiled_bios/5322.txt b/src/data/compiled_bios/5322.txt new file mode 100644 index 0000000000..1146a07cb3 --- /dev/null +++ b/src/data/compiled_bios/5322.txt @@ -0,0 +1 @@ +Associated Faculty. . Office : . Phone : . Email : b.mahmoudi@emory.edu . diff --git a/src/data/compiled_bios/5323.txt b/src/data/compiled_bios/5323.txt new file mode 100644 index 0000000000..d351aa590c --- /dev/null +++ b/src/data/compiled_bios/5323.txt @@ -0,0 +1 @@ +Associate Professor. Co-Director Of Undergraduate Studies (Co-DUS). Portfolio: Course offerings and schedules, advisors and advising, student concerns, overloads, Director of Technical Infrastructure. . Office : E424. Phone : 404-727-7963. Email : km@emory.edu . Research Groups : Data and Networked Systems. Office Hours: Tuesday: 4:00PM - 5:30PM Thursday: 4:00PM - 5:30PM. Research: Operating Systems, Networking, Graphics. Education: Ph.D. (1973) Cornell University M.S. (1971) Cornell University B.S. (1968) Brooklyn College. Activities: Director of Computer Studies Director Math & Comp Sci Computing Facility College Academic Computing Advisory Committee Campus Network Planning Working Group. diff --git a/src/data/compiled_bios/5324.txt b/src/data/compiled_bios/5324.txt new file mode 100644 index 0000000000..effaa87dd4 --- /dev/null +++ b/src/data/compiled_bios/5324.txt @@ -0,0 +1 @@ +Research Associate. . Office : E421. Phone : . Email : rebecca.mans.mitchell@emory.edu . diff --git a/src/data/compiled_bios/5325.txt b/src/data/compiled_bios/5325.txt new file mode 100644 index 0000000000..a34edda17b --- /dev/null +++ b/src/data/compiled_bios/5325.txt @@ -0,0 +1 @@ + James G. Nagy Professor Chair Address: Department of Mathematics Emory University Atlanta, GA 30322 USA Office: E426 Mathematics and Science Center Voice: (404)727-5601 E-mail: jnagy@emory.edu Directions for Visitors Computational Mathematics at Emory: Scientific Computing @ Emory Research Group For possible postdoc postions, see Scientific Computing Jobs @ Emory Prospective graduate students can find more information at: Scientific Computing @ Emory Information for Graduate Students Department Graduate Program Information Laney Graduate School My Research Interests: Numerical linear algebra, scientific computation, numerical solutions to discrete ill-posed problems in signal and image processing. My Research Activities: Five Page Summary CV (updated August, 2018) Books: Deblurring Images: Matrices, Spectra, and Filtering Per Christian Hansen, James G. Nagy, and Dianne P. O'Leary, SIAM, 2006. ( ordering information ) Introduction to Scientific Computing using Matlab Ian Gladwell, James G. Nagy, and Warren E. Ferguson, Jr., published by the authors, and available through Lulu, 2011. Electronic copy List of publications and technical reports IR Tools: A MATLAB Package of Iterative Regularization Methods and Test Problems for Linear Inverse Problems Webpage describing the project Reference: S. Gazzola, P. C. Hansen, and J. G. Nagy, IR Tools: A MATLAB Package of Iterative Regularization Methods and Large-Scale Test Problems, Numerical Algorithms, online; doi: 10.1007/s11075-018-0570-7. Get the software from Github RestoreTools: Matlab Software Package for Image Restoration Georgia Scientific Computing Symposia: The 2019 GSCS will be February 16, 2019, at GA Tech. Previous GSCS: GSU, 2018 ; UGA, 2017 ; Emory, 2016 ; GA Tech, 2015 ; Kennesaw, 2014 ; GA State, 2013 ; UGA, 2012 ; Emory, 2011 ; GA Tech, 2010 ; Emory, 2009 ; Scientific Computing at Emory Students Information for Students: Careers in Computational and Applied Mathematics Math and CS Graduate Programs at Emory Teaching schedule (Fall, 2018) Math 112Z (Calculus II) Office Hours The contents of this home page are the sole responsibility of Professor Nagy and its contributors, and do not necessarily represent the opinions or policies of Emory University. The administrator of this page is Professor Nagy, who may be contacted at: nagy@mathcs.emory.edu diff --git a/src/data/compiled_bios/5326.txt b/src/data/compiled_bios/5326.txt new file mode 100644 index 0000000000..66d26202b4 --- /dev/null +++ b/src/data/compiled_bios/5326.txt @@ -0,0 +1 @@ + CS584: Deep Learning Emory University, Spring 2017 Prof. Shamim Nemati (OH: Mon 1:00pm-2:00pm in BMI (36 Eagle Row, 5th Floor South) 579) TF: Supreeth Prajwal (OH: Wed 10:15am-11:15am BMI 581) TF: Ali Ahmadvand (OH: Tue 9am-10am BMI 581) Time: Monday and Wednesday, 11:30am-12:45pm Location: MSc E408 Contact: Instructor firstname dot Instructor lastname at emory.edu Course Website: http://nematilab.info/CS584.html GitHub: https://github.com/NematiLab/CS584 (permission only) schedule | assignments | grading | books | faq | Announcements January 11, 2017: Please bring your laptops for Lecture 2 (Wed 18 Jan 2017). We will have a hands-on demonstration of various computational resources available at Emory for running large scale deep learning computations. January 23, 2017: Please complete Assignment 1 by Sunday, 01/29/2017. January 30, 2017: Please complete Assignment 2 by Sunday, 02/05/2017. February 8, 2017: Please complete Assignment 3 by Sunday, 02/12/2017. February 16, 2017: Please complete Assignment 4 by Sunday, 02/26/2017. February 20, 2017: Midterm project presentations are on Wed 22 March. Midterm project reports are due Sunday 26th of March. March 7, 2017: Optional Assignment 5 has been posted. March 15, 2017: Please complete Assignment 6 by Wednesday, 03/29/2017. April 3, 2017: Please complete Assignment 7 by Monday, 04/10/2017. April 16, 2017: Please complete Assignment 8 by Monday, 04/23/2017. Schedule Subject to change. Wed 11 Jan 2017 Lecture 1: Introduction to Deep Learning [ required ] Book: Goodfellow -- Chapters 1-3 -- Introduction, Linear Algebra, Probability and Info. Theory [ optional ] Book: Murphy -- Chapter 28 -- Deep Learning [ required ] Video: Andrej Karpathy -- Introduction to Deep Learning and Historical Context [ optional ] Video: de Freitas -- Introduction to Deep Learning [ optional ] Paper: LeCun, Bengio & Hinton Deep Learning [ optional ] Paper: Jrgen Schmidhuber Deep Learning Conspiracy Wed 18 Jan 2017 Lecture 2: Intro to Deep Learning Software and Hardware [ required ] Book: Goodfellow -- Chapter 4-5 -- Numerical Compu., ML Basics [ required ] Video: Andrej Karpathy -- Deep Learning libraries [ required ] Video: Andrej Karpathy -- Data-driven approach, kNN, Linear Classification 1 [ required ] Video: Andrej Karpathy -- Linear Classification 2, Optimization [ optional ] Video: de Freitas -- Linear Models [ optional ] Video: de Freitas -- Maximum likelihood and information Feedforward Networks Mon 23 Jan 2017 Lecture 3: Deep Feedforward Networks [ required ] Book: Goodfellow -- Chapter 6-7 -- Deep Feedforward Networks, Regularization for Deep Learning [ required ] Video: Andrej Karpathy -- Backpropagation, Neural Networks 1 [ optional ] Video: de Freitas -- Regularization, model complexity and data complexity (part 1) [ optional ] Video: de Freitas -- Regularization, model complexity and data complexity (part 2) [ optional ] Paper: Jaderberg et al, Decoupled Neural Interfaces Using Synthetic Gradients [ optional ] Paper: Lillicrap et al., Random synaptic feedback weights support error backpropagation for deep learning Wed 25 Jan 2017 Lecture 4: Optimization [ required ] Book: Goodfellow -- Chapter 8 -- Optimization for Training Deep Models [ required ] Video: Andrej Karpathy -- Neural Networks Part 2 [ optional ] Video: de Freitas -- Optimization [ optional ] Paper: LeCun, Efficient BackProp [ optional ] Paper: Bengio, Understanding the difficulty of training deep feedforward neural networks Mon 30 Jan 2017 Lecture 5: Convolutional Neural Networks [ required ] Book: Goodfellow -- Chapter 9 -- Convolutional Networks [ required ] Video: Andrej Karpathy -- Neural Networks Part 3 / Intro to ConvNets [ required ] Video: Andrej Karpathy -- Convolutional Neural Networks [ optional ] Video: de Freitas -- Convolutional Neural Networks [ optional ] Paper: Deshpande The 9 Deep Learning Papers You Need To Know About Wed 1 Feb 2017 Lecture 6: Convolutional Neural Networks [ required ] Book: Goodfellow -- Chapter 9 -- Convolutional Networks [ required ] Video: Andrej Karpathy -- Localization and Detection [ required ] Video: Andrej Karpathy -- Visualization, Deep Dream, Neural Style, Adversarial Examples [ required ] Video: Andrej Karpathy -- ConvNets in practice [ optional ] Paper: Gulshan, Peng et al., Deep Learning Algorithm for Detection of Diabetic Retinopathy Time Series Models Mon 6 Feb 2017 Lecture 7: Recurrent Neural Networks [ required ] Book: Goodfellow -- Chapter 10 -- Sequence Modeling [ required ] Video: Andrej Karpathy -- Recurrent Neural Networks, Image Captioning, LSTM [ optional ] Video: de Freitas -- Recurrent Neural Nets and LSTMs [ optional ] Paper: Greff et al. -- LSTM: A Search Space Odyssey [ optional ] Paper: Lipton et al. -- Learning To Diagnose With LSTM Recurrent Neural Networks Wed 8 Feb 2017 Lecture 8: Dynamic Bayesian Networks [ required ] Book: Murphy -- Chapter 17, Section 17.1-17.5 -- Markov and Hidden Markov Models [ optional ] Book: Murphy -- Chapter 10, Sections 10.1-10.5 -- Directed Graphical Models (Bayes Nets) [ optional ] Video: Zoubin Ghahramani -- Graphical Models [ optional ] Paper: Choi et al. -- Using recurrent neural network models for early detection of heart failure onset [ optional ] Paper: Liao and Ahn, Combining Deep Learning and Survival Analysis for Asset Health Management Reinforcement Learning Mon 13 Feb 2017 Lecture 9: Deep RL, Discrete Action Spaces [ required ] Paper: Mnih et al., Human-level control through deep reinforcement learning [ required ] Video: de Freitas -- Reinforcement learning and neuro-dynamic [ optional ] Video: Pineau -- Introduction to Reinforcement Learning [ optional ] Paper: Lipton, Combating Reinforcement Learning's Sisyphean Curse with Intrinsic Wed 15 Feb 2017 Lecture 10: Deep RL, Continuous Action Spaces [ required ] Paper: Mnih et al., Recurrent Models of Visual Attention [ required ] Video: de Freitas -- Deep Reinforcement Learning - Policy search [ required ] Repo: A List of Deep Reinforcement Learning Papers Applications & Practicals Mon 20 Feb 2017 Lecture 11: Deep Learning in Practice [ required ] Book: Goodfellow -- Chapter 11 -- Practical Methodology [ optional ] Paper: Bengio, Practical recommendations for gradient-based training of deep architectures [ optional ] Paper: Lipton, The Mythos of Model Interpretability [ optional ] Video: de Freitas, Bayesian Optimization Wed 22 Feb 2017 Lecture 12: Biomedical Applications [ required ] Book: Goodfellow -- Chapter 12 -- Applications [ required ] Paper: Min, Lee et al., Deep Learning in Bioinformatics [ optional ] Paper: Ranganath et al., Deep Survival Analysis [ optional ] Paper: Katzman et al., Deep Survival: A Deep Cox Proportional Hazards Network Unsupervised Deep Learning Monday 27 Feb 2017 Lecture 13: Linear Factor Models [ required ] Book: Goodfellow -- Chapter 13 -- Linear Factor Models [ required ] Book: Murphy -- Chapter 12 -- Latent Linear Models [ optional ] Video: Zoubin Ghahramani -- Graphical Models [ required ] Paper: Sam Roweis and Zoubin Ghahramani. A Unifying Review of Linear Gaussian Models . Neural Computation 11(2), 1999. Mon 13 March 2017 Lecture 14: Autoencoders [ required ] Book: Goodfellow -- Chapter 14 -- Autoencoders [ required ] Video: Andrej Karpathy -- Unsupervised Learning [ required ] Paper: Miotto et al., Deep Patient [ required ] Paper: Cheng et al., Computer-Aided Diagnosis with Deep Learning [ required ] Paper: Lasko et al, Computational Phenotype Discovery Using Unsupervised Feature Learning over Noisy, Sparse, and Irregular Clinical Data Wed 15 March 2017 Lecture 15: Introduction to Boltzmann Machines [ required ] Book: Goodfellow -- Chapter 16.7, 20.1, 20.2 -- Structured Probabilistic Models for Deep Learning [ optional ] Paper: Montavon, Muller -- Deep Boltzmann Machines and the Centering Trick. [ optional ] Paper: Hinton -- A practical guide to training restricted Boltzmann machines. Mon 20 March 2017 Lecture 16: Unsupervised Time Series Modeling [ required ] Paper: Fraccaro et al., Sequential Neural Models with Stochastic Layers [ required ] Paper: Lngkvist et al., A Review of Unsupervised Feature Learning and Deep Learning for Time Series Modeling [ required ] Paper: Bayer and Osendorfer Learning Stochastic Recurrent Networks Wed 22 March 2017 Midterm Project Presentations Sampling and Inference Procedures Mon 27 March 2017 Lecture 17: Sampling Techniques [ required ] Book: Goodfellow -- Chapter 17 -- Monte Carlo Methods [ optional ] Book: Murphy -- Chapter 23, Section 23.1-23.4 -- Monte Carlo Inference [ optional ] Book: Murphy -- Chapter 24, Sections 24.1-24.4 -- Markov Chain Monte Carlo (MCMC) Inference [ optional ] Book: Murphy -- Chapter 24, Sections 24.5-24.7 -- Markov Chain Monte Carlo (MCMC) Inference [ optional ] Video: Iain Murray -- Markov Chain Monte Carlo [ optional ] Video: de Freitas -- Monte Carlo Simulation for Statistical Inference [ optional ] Video: Christian Robert -- Markov Chain Monte Carlo Methods Wed 29 March 2017 Lecture 18: Approximate Inference [ required ] Book: Goodfellow -- Chapter 18-19 -- Partition Function and Approximate Inference Deep Generative Models Mon 3 April 2017 Lecture 19: Restricted Boltzmann Machine [ required ] Book: Goodfellow -- Chapter 20.3-20.5 -- Deep Boltzmann Machines [ optional ] Book: Murphy -- Chapter 27, Section 27.7 -- Latent Variable Models for Discrete Data [ optional ] Video: Geoffrey Hinton -- Deep Belief Networks [ optional ] Video: Yoshua Bengio and Yann LeCun -- Tutorial on Deep Learning Architectures Wed 5 April 2017 Lecture 20: Recurrent Temporal RBM [ required ] Book: Goodfellow -- Chapter 20 -- Deep Generative Models [ required ] Paper: Sutskever, Hinton et al. -- The Recurrent Temporal Restricted Boltzmann Machine [ required ] Paper: Mittelman et al. -- Structured Recurrent Temporal Restricted Boltzmann Machines [ required ] Paper: Chung et al. -- A Recurrent Latent Variable Model for Sequential Data Mon 10 April 2017 Lecture 21: Helmholtz Machines I [ optional ] Paper: Kirby -- A Tutorial on Helmholtz Machines [ optional ] Paper: Hinton -- The "wake-sleep" algorithm for unsupervised neural networks [ optional ] Paper: Lin and Tegmark -- Why does deep and cheap learning work so well? Wed 12 April 2017 Lecture 22: Helmholtz Machines II [ optional ] Paper: Kirby -- A Tutorial on Helmholtz Machines [ optional ] Paper: Bornschein -- Bidirectional Helmholtz Machines [ optional ] Paper: Mehta and Schwab -- An exact mapping between the Variational Renormalization Group and Deep Learning. Deep Learning research Mon 17 April 2017 Student-requested topics, such as Generative Adversarial Networks , Deep Residual Networks , etc. Mon 19 April 2017 Student-requested topics, such as Generative Adversarial Networks , Deep Residual Networks , etc. Final Presentations and Reports Mon 24, Wed 26 April 2017 Final Project Presentations May 1 2017 Final Project Reports Due Assignments Weekly Reports should be documented in one single Google Doc , with clear headings for each week (dated). Please share the link with your instructor. These assignments include your progress on hands-on coding tutorials, including any obstacles preventing you from successfully completing your tutorials. Additionally, you're expected to review and critique one paper every week (minimum 300 words). Finally, your weekly report should include any concepts that you find difficult to understand pertaining to the corresponding week's lectures. [ required ] Assignment 1: Feedforward Neural Networks [ required ] Assignment 2: Convolutional Neural networks [ required ] Assignment 3: Recurrent Neural Networks [ required ] Assignment 4: A Practical Application [ required ] Assignment 5: Visualization [ required ] Assignment 6: Autoencoders (AE) [ required ] Assignment 7: Unsupervised Learning [ optional ] Assignment 8: Generative Networks Final Project Use overleaf to write a journal style report and share the link with your instructor. You may use the NIPS style files available here . Final Report: Due 1 May 2017 Grading Weekly Assignments and Reports (lowest dropped): 20% Midterm Project Report: 30% Final Project Presentation and Report: 45% Attendance and Contribution to Class Discussions: 5% General Deep Learning and Machine Learning Books [ required ] Book: Ian Goodfellow and Yoshua Bengio and Aaron Courville, Deep Learning , MIT Press. [ optional ] Book: Kevin Murphy, Machine Learning: A Probabilistic Perspective , MIT Press. [ optional ] eBook: Michael Nielsen, Neural Networks and Deep Learning Other Resources [ optional ] Codes: Official Tensorflow Tutorials [ optional ] Lectures & Codes: Udacity Deep Learning Course /li> [ optional ] Codes: IFT6266 Deep Learning Tutorials with Python codes [ optional ] Codes: MatConvNet: CNNs for MATLAB [ optional ] Codes: Stanfords Unsupervised Feature and Deep Learning Matlab tutorials on GitHub Frequently Asked Questions Can I collaborate with another student on my term project? I expect a unique midterm report from all students. You may form teams of size n<=3 for the final project with written permission (i.e., email), from your instructor. What are the requirements of this course? Knowledge of linear algebra, multivariate calculus, basic statistics and probability theory, and Machine Learning (CS534) and Artificial Intelligence (CS557). Homework and project will require programming in Python and Matlab. Are there standard techniques for handling missing data? This is an area of active research. For starters, it helps to distinguish between MCAR (missing completely at random), MAR (missing at random), MNAR (missing not at random). You may find the following papers useful (or rather food for thought!): (1) Rezende et al. -- Stochastic Backpropagation and Approximate Inference in Deep Generative Models (2) Bengio et al., Recurrent Neural Networks for Missing or Asynchronous Data (3) Lipton et al. -- Modeling Missing Data in Clinical Time Series with RNNs (4) Che et al. -- Recurrent Neural Networks For Multivariate Time Series With Missing Values (5) Uchihashi and Kanemura, Modeling the Propensity Score with Statistical Learning (6) Beaulieu-Jones et al, Missing Data Imputation In The Electronic Health Record Using Deeply Learned Autoencoders (7) Leke et al., Missing data and deep learning What do you recommend for visualizing high-dimensional datasets? t-SNE is a popular technique. Use it with care ! What are some good references on model comparison? (1) Rezende et al. -- DeLong ER, DeLong DM, Clarke-Pearson DL. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics. 1988 Sep 1:837-45. (2) Bengio et al., Pencina MJ, D'Agostino RB, Vasan RS. Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond. Statistics in medicine. 2008 Jan 30;27(2):157-72. (3) Lipton et al. -- Cook NR, Ridker PM. The use and magnitude of reclassification measures for individual predictors of global cardiovascular risk. Annals of internal medicine. 2009 Jun 2;150(11):795. (4) Che et al. -- Airola A, Pahikkala T, Waegeman W, De Baets B, Salakoski T. A comparison of AUC estimators in small-sample studies. InMLSB 2010 (pp. 3-13). (5) Davis and Goadrich -- Davis J, Goadrich M. The relationship between Precision-Recall and ROC curves. InProceedings of the 23rd international conference on Machine learning 2006 Jun 25 (pp. 233-240). ACM. diff --git a/src/data/compiled_bios/5327.txt b/src/data/compiled_bios/5327.txt new file mode 100644 index 0000000000..85f6f75290 --- /dev/null +++ b/src/data/compiled_bios/5327.txt @@ -0,0 +1 @@ +Associated Faculty. . Office : . Phone : . Email : arpost@emory.edu . Research Groups : Biomedical Informatics. diff --git a/src/data/compiled_bios/5328.txt b/src/data/compiled_bios/5328.txt new file mode 100644 index 0000000000..ee7e861ace --- /dev/null +++ b/src/data/compiled_bios/5328.txt @@ -0,0 +1 @@ +Associated Faculty. . Office : . Phone : 2-9576. Email : zhaohui.qin@emory.edu . Research Groups : Biomedical Informatics. Education: Postdoctoral, 2003, Harvard University, Cambridge, MA PhD, 2000, University of Michigan, Ann Arbor, MI BS, 1994, Peking University, Beijing, China. diff --git a/src/data/compiled_bios/5329.txt b/src/data/compiled_bios/5329.txt new file mode 100644 index 0000000000..3d663c4d2c --- /dev/null +++ b/src/data/compiled_bios/5329.txt @@ -0,0 +1 @@ + Lars Ruthotto about | projects | software | publications | teaching | links | talks | cv Position: Assistant Professor Address: Department of Mathematics and Computer Science Emory University Atlanta, GA 30322 USA Office: W408, Mathematics and Science Center Office hours: Spring 2019: Mon 4-5, Tue 2-3 and 4-5, Wed 4-5, and by appointment Exceptions: 02/25 - 03/01, 04/01 - 04/02. Quick links: Google Scholar , ResearchGate , GitHub , Emory Scientific Computing E-mail: lruthotto at emory.edu Short Bio I am an assistant professor at Emory University in Atlanta, GA. I received my diploma and my Ph.D. in mathematics from the University of Mnster in 2010 and 2012, respectively. Prior to joining Emory, I was a postdoctoral research fellow at the University of British Columbia and during my PhD I held positions at the Universities of Lbeck and Mnster. My research interests include numerical analysis (particularly numerical methods for optimization, linear algebra, and partial differential equations) and scientific computing with applications in medical and geophysical imaging and machine learning. My research is supported by the National Science Foundation, the Centers for Disease Control and Prevention, and NVIDIA. I am also a senior consultant at Xtract Technology . Latest News and Activities Can now be found in the Twitter feed to your right. Older news are still available here . Research interest My general field of interest is computational methods for inverse problems arising in medical and geophysical imaging. I recently also started working on data science applications such as training of deep neural networks. My research is interdisciplinary and covers a variety of topics ranging from mathematical theory via the design of numerical algorithms and efficient computational methods towards solving problems arising in real-world applications. From a mathematical point of view, my work involves variational calculus, numerical solutions of partial differential equations, numerical optimization, sparse linear algebra, multi-level, multiscale and multigrid methods. I am interested in designing efficient implementations using parallel and distributed computing techniques. Teaching interest I enjoy teaching regular one-semester courses in applied mathematics, in particular, numerical analysis, numerical linear algebra, numerical optimization, and inverse problems. Further, I like giving graduate level workshops and tutorials related to my research in image registration and PDE parameter estimation. For a list of current and recent courses and workshops, click here . Academic advising I have research opportunities for undergraduate and graduate students to work on challenging mathematical problems with applications in medical imaging, geophysical exploration, and data science. Undergraduate students must be currently enrolled at Emory (ideally invited to the Honors program), and Graduate students need first be admitted into Laney Graduate School (more info here ). Contact me for more details. Tweets by @larsruthotto diff --git a/src/data/compiled_bios/533.txt b/src/data/compiled_bios/533.txt new file mode 100644 index 0000000000..3c7e5432d7 --- /dev/null +++ b/src/data/compiled_bios/533.txt @@ -0,0 +1 @@ +L. Ridgway Scott Louis Block Professor Emeritus,Departments of Computer Science and Mathematics Senior Fellow,Computation Institute Email: ridg@cs.uchicago.edu Phone: (773) 702-6614 Office: Eckhart 122 Website: http://people.cs.uchicago.edu/~ridg Research: scientific computing Biography Education B.S., Tulane University, 1969 Ph.D., Massachusetts Institute of Technology, 1973 Additional Interests: Golf, music, sailing, skiing, tennis. Projects ASCI Flash Research My current interests focus on bioinformatics, via the Digital Biology Project, and the automatic generation of software to support scientific simulation, via the FEniCS project. The Digital Biology Project seeks to understand how protein systems function in a discrete fashion, especially in the presence of hydrophobic effects (which are very non-specific). FEniCS is a polymorhpic acronym for an international effort (www.fenics.org) that attempts to utilize mathematical structure inherent in scientific models to automate the generation of simulation software. diff --git a/src/data/compiled_bios/5330.txt b/src/data/compiled_bios/5330.txt new file mode 100644 index 0000000000..fb9542638c --- /dev/null +++ b/src/data/compiled_bios/5330.txt @@ -0,0 +1 @@ +Senior Systems Architect - Emory CCI. . Office : PAIS 569. Phone : 404/712-0124. Email : ashish.sharma@emory.edu . Research Groups : Biomedical Informatics. diff --git a/src/data/compiled_bios/5331.txt b/src/data/compiled_bios/5331.txt new file mode 100644 index 0000000000..ec75940dba --- /dev/null +++ b/src/data/compiled_bios/5331.txt @@ -0,0 +1 @@ +Visiting Faculty. . Office : W302G. Phone : . Email : hpshin@snu.ac.kr . diff --git a/src/data/compiled_bios/5332.txt b/src/data/compiled_bios/5332.txt new file mode 100644 index 0000000000..1b61eb0792 --- /dev/null +++ b/src/data/compiled_bios/5332.txt @@ -0,0 +1 @@ + Vaidy Sunderam Home Research Teaching CV Vaidy Sunderam Samuel Candler Dobbs Professor of Computer Science Chair, Department of Mathematics and Computer Science Director, Computational and Life Sciences Strategic Initiative Emory University Address : 400 Dowman Dr , Atlanta, GA 30322 Office : Mathematics and Science Center #E420 Phone : 404-727-5926, Fax : 404-727-5611 Email : vss@emory.edu Brief Bio Vaidy Sunderam has been a faculty member at Emory University since 1986. His research interests are in parallel and distributed processing systems and infrastructures for collaborative computing. His prior and current research efforts have focused on system architectures and implementations for heterogeneous metacomputing, including the Parallel Virtual Machine (PVM) system and several other frameworks including IceT, CCF, Harness, and Unibus. Vaidy teaches computer science at the beginning, advanced, and graduate levels, and advises graduate theses in the area of computer systems. He also serves on several university committees and planning groups including Emory's strategic initiatives in science and quantitative areas, informatics, and undergraduate education. Research Projects Publications (DBLP is far better at maintaining this than I could ever hope to be! Thanks Michael!) Descriptions of research projects are best found in the appropriate papers, or please email me for details. A few older projects have websites, as outlined below. Unified, aggregated resource sharing via lightweight middleware infrastructures is the primary focus of the Distributed Computing Laboratory and the H2O/Unibus projects. The Harness system is based on the concept of distributed virtual machines that are reconfigurable in terms of both resources and software infrastructures. Joint with Oak Ridge Labs , and the University of Tennessee . Janus investigates robustness issues in wireless networks, particularly in the context of group communications protocols. General purpose collaboration (as opposed to domain-specific collaboratories) was the focus of The CCF project that enables workspace sharing and multimodal communication. Other (past) efforts that still evoke interest include: PVM - Parallel Virtual Machine , the PIOUS parallel I/O system, and ACES, part of the PaCS effort. Teaching Spring 2017: CS555 Parallel Processing For other semesters and course descriptions etc, please see the MathCS homepage. 2010 Vaidy Sunderam diff --git a/src/data/compiled_bios/5333.txt b/src/data/compiled_bios/5333.txt new file mode 100644 index 0000000000..15c3041baf --- /dev/null +++ b/src/data/compiled_bios/5333.txt @@ -0,0 +1 @@ + Alessandro Veneziani's Home Page E(CM)2 - Emory Center for Mathematics and Computing in Medicine Department of Mathematics and Computer Science 400 Dowman Dr, 30322 Atlanta, GA, USA Room N418 ale AT mathcs.emory.edu T +1 404 727 7925 F +1 404 727 5611 Hi, this is Alessandro Veneziani, originally from Bergamo , Italy. I am currently Associate Professor at the Department of Mathematics and Computer Science of Emory University, Atlanta, GA USA. Since 2007 we have been settling down a group of people really pasionate about Applied Math, Partial Differential Equations, Scientific Computing, Cardiovascular Diseases Our mission is to link theory to practice, from Theorems to the Operating Room/Bedside . We called this E-(CM)2 (no, Einstein is E=mc 2 ) , it stands for Emory - Center for Mathematics and Computing in Medicine (link) Some explanations and examples (clip) Scientific Interests Computational Fluid Dynamics Incompressible Navier-Stokes Equations Data Assimilation Mathematical and Numerical Models for the Cardiovascular System Cerebral aneurysms Heart Simulation Inverse Cardiovascular Mathematics Finite Elements Applications of Mathematics to Industrial Problems C++ Programming for Scientific Computing CODES: In our activity we develop/use two codes Vascular Modeling Toolkit : C++/Python code for image manipulation/processing/reconstruction www.vmtk.org (credits to L. Antiga, D. Steinman) LifeV : Finite Element Library www.lifev.org (credits to S. De Paris, T. Passerini and many others) A Repository of Data on Cerebral Aneurysms As a follow-up of the ANEURISK Project (2005-2008) , we have created a free data repository of images, geometries and CFD Analysis http://ecm2.mathcs.emory.edu/aneuriskweb/index We do believe that sharing of data and cross checking is a way of making our results more trustworthy Check it out! Credits to The Brain Aneurysm Foundation, Emory URC PUBLICATIONS Link Teaching@Emory OFFICE HOURS: Thursday 11.30am-1.30am Fall2014 MATH351: Partial Differential Equations Syllabus MATH212: Ordinary Differential Equations Syllabus A BOOK ON SOLVING NUMERICAL PDEs: Solving Numerical PDE's L. Formaggia, F. Saleri, A. Veneziani Springer 2011 This book aims at introducing students to the numerical approximation of Partial Differential Equations (PDEs). One of the difficulties of this subject is to identify the right trade-off between theoretical concepts and their use in practice. With that collection of examples and exercises we try to address this issue by illustrating "standard" examples which focus on basic concepts of Numerical Analysis, as well as problems derived from practical applications which the student is encouraged to formalize in terms of PDEs, analyze and solve. The latter examples are derived from the experience of the authors in research project developed in collaboration with scientists of different fields (biology, medicine, etc.) and industry. We wanted this book to be useful both to readers more interested in the theoretical aspects, and also to those more concerned with the numerical implementation. To this aim, solutions to the exercises have been subdivided in three parts. The first concerns the mathematical analysis of the problem, the second its numerical approximation and the third part is devoted to implementation aspects and the analysis of the results. The book consists of three parts. The firstdeals with basic material and results provided as useful reference for the other sections. In particular, we recall the basics of functional analysis and the finite element method. The second part deals with steady elliptic problems, solved with finite elements or finite differences, while in the third part we address time-dependent problems, including linear hyperbolic systems and Navier-Stokes equations. Two appendices discuss some practical implementation issues and three-dimensional applications. Each section contains a brief introduction to the subject to make this book self contained. The book is dedicated to the memory of Fausto Saleri. The cover picture is a simulation of racoons' rabies disease spreading over the State of NY, a work done with Luca Gerardo Giorda and Joshua Keller (Honor Student at Emory, class of 2011) Links to Academic Institutions Here you find a series of academic institutions formerly or currently relevant for my activity Scientific Computing Group@Emory EMORY WALLACE H COULTER DEPARTMENT OF BIOMEDICAL ENGINEERING @ GATech & Emory UniBG (HTH) UniPV (Auricchio's Lab) MOX - MATEPOLIMI UniVR Link to my personal data (Sep 2014): CV Editorial Board Link: International Journal for Numerical Methods in Biomedical Engineering CREW Leandro Gryngarten Gaetano Esposito (BIORESORB Project) PhD students Luca Bertagna Boyi Yang Huanhuan Yang Jim Munch Huijuan Xu Ricardo J Bonilla (student of BME@ Ga Tech) Sofia Guzzetti (HiMod NSF Project) Alex Viguerie Alessandro Barone (starting Jan 2015 - CEST NSF Project) Part of the Crew in a sunny winter day, Emory Quad. From the left: Leandro, Annalisa, Boyi, Jim, Huanhuan, Alessandro, Luca. Missing in action: Ricardo, Anastasia, Sofia, Alexander, Alessandro Former members (we wish you the best, but we miss you) Alexis Aposporidis (now @ Aerospace Center , Germany) Marta D'Elia (now @ FSU, Fl, USA) Maria Rita De Luca (now @ SISSA, Trieste, Italy) Luca Gerardo-Giorda (now @ BCAM, Bilbao, Spain) Lucia Mirabella (now @ Department of Biomedical Engineering@GA Tech) Tiziano Passerini (now @ SIEMENS, Princeton, NJ, USA) Marina Piccinelli (now @ Radiology, SOM, Emory) Mauro Perego (now @ Sandia Lab, Albuquerque) Umberto Villa (now @ LLivermore NL, CA) From the left: Alessandro, Marina, Tiziano, Lucia (back), Mariarita (front), Mauro, Marta Current Collaborations Robert W. Taylor (School of Medicine, Emory, USA) John Oshinski (School of Medicine, Emory, USA) Ernie Garcia (School of Medicine, Emory, USA) Ji Chen (School of Medicine, Emory, USA) Dyvia Gupta (School of Medicine, Emory, USA) Habib Samady (School of Medicine, Emory, USA) Spencer King (School of Medicine, Emory, USA) Bill Gogas (School of Medicine, Emory, USA) Don Giddens (BME, GA Tech, Atlanta, USA) Luke Timmins (BME, GA Tech, Atlanta, USA) Dave Molony (BME, GA Tech, Atlanta, USA) Ferdinando Auricchio (Uni Pavia, Italy) Alessandro Reali (Uni Pavia, Italy) Michele Conti (Uni Pavia, Italy) Simone Morganti (Uni Pavia, Italy) Pablo Blanco (LNCC, Petropolis, Brasil) Raoul Feijoo (LNCC, Petropolis, Brasil) Paolo Malighetti (HTH Uni Bergamo, Italy) Stefano Paleari (HTH Uni Bergamo, Italy) Aijit Yoganathan (BME, GA Tech, Atlanta, USA) Simona Perotto (Politecnico Milano, Italy) Luca Antiga (Orobix, Bergamo, Italy) Michele Benzi (Department of Mathematics and Computer Science, Emory, USA) Simone De Paris (EPFL Lausanne, Switzerland) Maxim Olshanskii (University of Houston, TX, USA) Suncica Canic (University of Houston, TX, USA) Annalisa Quaini (University of Houston, TX, USA) Vaidy Sunderam (Department of Mathematics and Computer Science, Emory, USA) David Borthwick (Department of Mathematics and Computer Science, Emory, USA) Frank Tong (School of Medicine, Emory, USA) Manu Platt (BME, GA Tech, Atlanta, USA) Flavio Fenton (Dept Phys, GA Tech, USA) Leopold Grinberg (IBM) Anne M. Robertson (Dept. Mech Eng, Pittsburgh) Links to ... An incredible Band An incredible team (Juventus is a Lady, but Atalanta is Goddess) My preferred NFL Team 3 suggestions: 1) Be part of the solution, NOT the problem 2) Never give up 3) Hope is a good thing. Maybe the best of things Here's the new grant(s) coming... :D diff --git a/src/data/compiled_bios/5334.txt b/src/data/compiled_bios/5334.txt new file mode 100644 index 0000000000..6d79083604 --- /dev/null +++ b/src/data/compiled_bios/5334.txt @@ -0,0 +1 @@ + Ymir Vigfusson About Me Publications Projects Teaching Talks Music Who I Am I am Assistant Professor in the Department of Mathematics and Computer Science at Emory University since 2014, and Adjunct Assistant Professor at School of Computer Science at Reykjavik University in Iceland since 2011. I am co-PI of the Simbiosys lab at Emory University. What I Do My research spans distributed systems and data science , and is motivated by three beliefs: That networked systems should just scale effortlessly That the best practical way to improve security is for people to really understand how things break, That clever use of technology can improve disease outbreak surveillance (think epidemics) Check out my projects for more information. My research is supported by an NSF CAREER award, contracts from the CDC , RANNIS grants and other funding from industry. I am also a co-founder and Chief Science Officer of Syndis , a growing multinational company focused on research and services in offensive information security. Here is a brief video by the Vocativ news network that shows us hacking . I have had the fortune of learning from some remarkable people, and I enjoy passing on what I know to my students. Some of my talks are online. What I Have Done Here are my Curriculum Vitae and Publications . Portugal, 2011 Puerto Rico, 2011 Lisbon, Portugal, 2011 Gsavatnalei, Iceland, 2012 Vestmannaeyjar, Iceland, 2013 Vestmannaeyjar, Iceland, 2013 Play Pause working with me Are you a great coder with an interest in large-scale systems or security? Or are you interested in diving into data science and some really cool public health, epidemiology or distributed systems datasets? Our Simbiosys lab at Emory has several open Ph.D. positionsfor promising students interested in these areas. Interested? Apply to Emory CSI . Are you a hacker? Whether you hack software or do hands on security, Syndis is hiring ! If you are a student at Emory University or Reykjavik University, feel free to stop by my office to discuss research projects. Just drop me a note! How To Reach Me Ymir Vigfusson Dept. of Mathematics and Computer Science Emory University 400 Dowman Drive, E416 Atlanta, GA 30322 E-mail: ymir ymsir : com (I read all e-mail, but I get more email than to which I can respond) Latest News Recent news Site powered by Weebly. Managed by Hostmonster diff --git a/src/data/compiled_bios/5335.txt b/src/data/compiled_bios/5335.txt new file mode 100644 index 0000000000..df32f3885d --- /dev/null +++ b/src/data/compiled_bios/5335.txt @@ -0,0 +1 @@ + Avani Wildani Current Projects Publications Calendar Teaching Software Project Hypatia Interests SSRC Page Vit (pdf) Professional Assistant Professor Emory University Department of Math and Computer Science avani@mathcs.emory.edu Office: W412 (on the math side) Office Hours: See Calendar Mailing Address: Dept. of Math and Computer Science Emory University 400 Dowman Dr., W401 Atlanta, GA 30322 Prospective Students I am actively recruiting both Ph.D. students and postdocs to my lab. If you are interested in working with me, please e-mail me directly with a brief description of your past work and current research interests. About Me As a scientist and an engineer, I am fascinated with information: what it is, how it is stored, how it is accessed, and how it leads to decisions. My doctoral research focused on how patterns in disk accesses allow a system to predict what data is commonly accessed together along with how this knowledge of momentary grouping can be used to make systems more available and power efficient. At Emory, my lab is exploring the dual of the storage problem. Whereas computer scientists have defined how to arrange storage to meet specific metrics such as fault tolerance and access speed, in neuroscience the metrics are observable but the system unknown. We are working to model information in the brain as a storage problem to better learn how we collect and interpret signals from our world, working towards a robust fault tolerance model for the brain. Other research interests in our lab include machine learning applications in neurobiology (particularly deep networks and topological data mining), archival storage, power management, privacy, and spatiotemporal modeling of storage workloads. My Erds number is 3. Press: Interdisciplinary Work at Emory , Emory Profile A bit about my work at Salk Undergraduate Recommendation Policy: (adapted from Amy Weldon) I don't write a reference for a student unless I can write a very positive and specific one. Therefore, your job as a college student is to become the kind of student professors can rave about in recommendations: hardworking, collegial, and intellectually inquisitive and honest. Consider maintaining relationships over time with professors, so that they know you well enough to write for you. Many juniors and seniors tell me they wish they had thought about this during their first year. This word cloud represents popular words in my published papers as of 2013. More details about my work are on my Research Page. Most Recent Publications For my latest publications, please see my Google Scholar Page . Computational Neuroscience A. Wildani , T. O. Sharpee, A Topologic Characterization of Natural Scenes , in submission A. Wildani , T. O. Sharpee, Persistent Homology for Characterizing Stimuli Response in the Primary Visual Cortex , Proceedings of the International Conference of Machine Learning (ICML) Workshop on Topology . June 2014. ( pdf ) Predictive Modeling A. Wildani , E. L. Miller. Can We Group Storage? Statistical Techniques to Identify Predictive Groupings in Storage System Accesses , ACM Transactions on Storage , August 2015. A. Wildani , E. L. Miller, I. F. Adams, D. D. E. Long. PERSES: Data Layout for Low Impact Failures , Proceedings of the 22th IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS 2014) , September 2014. ( pdf ) A. Wildani , E. L. Miller, O. Rodeh, HANDS: A Heuristically Arranged Non-Backup In-line Deduplication System , Proceedings of the 29th IEEE International Conference in Data Engineering (ICDE 2013) , April 2013. ( pdf ) Workload Characterization A. Wildani and I. F. Adams. A Case for Rigorous Workload Classification , Proceedings of the 23rd IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS 2015) , October 2015. ( pdf ) P. Gupta, A. Wildani , D. Rosenthal, E. L. Miller, et al. An Economic Perspective of Disk vs. Flash Media in Archival Storage , Proceedings of the 22th IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS 2014) , September 2014. ( pdf ) A. Wildani , I. F. Adams, E. L. Miller, Single-Snapshot File System Analysis , Proceedings of the 21st IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS 2013) August 2013. ( pdf (Short paper) ) All publications diff --git a/src/data/compiled_bios/5336.txt b/src/data/compiled_bios/5336.txt new file mode 100644 index 0000000000..e3f11e5869 --- /dev/null +++ b/src/data/compiled_bios/5336.txt @@ -0,0 +1 @@ +Associated Faculty. . Office : . Phone : . Email : pwolff@emory.edu . diff --git a/src/data/compiled_bios/5337.txt b/src/data/compiled_bios/5337.txt new file mode 100644 index 0000000000..e442c4bf26 --- /dev/null +++ b/src/data/compiled_bios/5337.txt @@ -0,0 +1 @@ +Associated Faculty. . Office : . Phone : . Email : hao.wu@emory.edu . diff --git a/src/data/compiled_bios/5338.txt b/src/data/compiled_bios/5338.txt new file mode 100644 index 0000000000..5a995df00d --- /dev/null +++ b/src/data/compiled_bios/5338.txt @@ -0,0 +1 @@ + Li Xiong Home Research Publications Teaching CV Li Xiong Professor of Computer Science Department of Computer Science Department of Biomedical Informatics Emory University Address : 400 Dowman Dr , Atlanta, GA 30322 Office : Mathematics and Science Center E412 Phone : 404-727-0758, Fax : 404-727-5611 Email : lxiong AT emory.edu Google Scholar Profile | DBLP Entry News and Activities October 2018: We received 3rd Place for 2018 IDASH Genome Privacy & Secuity Competition in Track 1: Blockchain-based immutable logging and querying for cross-site genomic dataset access audit trail. Congratulations Mark and Yang! September 2018: We are starting a new project " TIMES: A tensor factorization platform for spatio-temporal data " funded by NSF BigData program in collaboration with Prof. Joyce Ho at Emory and Prof. Jimeng Sun from Georgia Tech. September 2018: We have a brand new Department of Computer Science and we are hiring ! ( Emory press release ) June 2018: Our paper Privacy-Preserving Reverse k-Nearest Neighbor Queries received the best paper runner up award at IEEE MDM 2018! December 2017: Congratulations to Daniel Garcia Ulloa for successfully defending his PhD dissertation! Daniel will stay as a postdoctoral fellow at AIMS. Wish him the best! May 2017: Congratulations to Layla Pournajaf, Yonghui Xiao, and Jinfei Liu for successfully defending their PhD dissertation! Layla is continuing an internship at CareerBuilder, Yonghui joined Google, and Jinfei will work as a postdoctoral fellow at Emory and Georgia Tech. Wish them all the best! January 2017: Our collaborative project with UCSD on Decentralized differentially-private methods for dynamic data release and analysis is funded by NIH R01 November 2016: Congratulations to Michael Solomon and Haoran Li for successfully defending their PhD dissertations! Michael continues with his own consulting company and Haoran is joining eBay. Wish them the best! August 2016: Our project on Next Generation Frameworks for Secure DDDAS/Infosymbiotics Systems is funded by the AFOSR DDDAS program! August 2016: Our project on Rigorous and Customizable Spatiotemporal Privacy for Location Based Applications is funded by NSF SaTC! June 2016: Our paper D-Grid: An In-Memory Dual Space Grid Index for Moving Object Databases received the best paper award at IEEE MDM 2016! February 2016: Honored to be featured in Emory Report ! February 2016: Our project "Extending differential privacy for privacy preserving location sharing" received a Google Research Award ! January 2016: Congratulations to Xiaofeng Xu for successfully defending his PhD dissertation! Xiaofeng will join Facebook. Wish him the best! December 2015: Our project "iCloak: privacy preserving individual location sharing" received an NSF I-Corps award ! November 2015: Our ACM SIGSPATIAL 2015 vision paper "Privacy-Preserving Inference of Social Relationships from Location Data" won the Computing Community Consortium (CCC) Blue Sky Ideas Best Paper Award (third place) ! October 2015: Giving a keynote talk at the SIGSPATIAL Workshop on Location-Based Social Networks (LBSN 2015) . See you there! October 2015: Presented our projects at the iDASH and pSCANNER Data Sharing Symposium . The program is very interdisciplinary and videos for all talks are now available! September 2015: Co-organizing the 9th Workshop on Privacy and Anonymity in the Information Society (PAIS) again collocated with EDBT/ICDT 2015. Submissions are due December 11. Please consider submiting! August 2015: Honored to be named the Winship Distinguished Research Professor in Mathematics and Natural Science at Emory for 2015-2018! August 2015: Giving a keynote talk at the Privacy Preserving IR 2015 Workshop and participating in a data privacy panel at the USENIX Summit on Information Technologies for Health (HealthTech '15) . Both have interesting programs, see you there! July 2015: Congratulations to Luca Bonomi who successfully defended his PhD dissertation! Luca will join University of California at San Diego as a postdoctoral fellow. Wish him the best! April 2015: Our project SHARE: Statistical Health Information Release with Differential Privacy in collaboration with the NCBC iDASH is funded by NIH R01! March 2015: Postdoc position available in data privacy and health informatics. Please contact me if you are interested! February 2015: Co-organizing the iDASH Privacy & Security Workshop 2015 - Secure Genome Analysis Competition . Please consider participating! (Media coverage in GenomeWeb and Nature News ) December 2014: Co-organizing the Workshop on Privacy and Anonymity in the Information Society (PAIS) again collocated with EDBT/ICDT 2015. Submissions are due December 29. Looking forward to seeing you at the workshop! September 2014: Our project on Building Data Registries with Privacy and Confidentiality for PCOR in collaboration with Emory BMI and UCSD was funded by PCORI ! ( Emory press release ) Brief Bio Li Xiong is Professor of Computer Science and Biomedical Informatics at Emory University. She held a Winship Distinguished Research Professorship from 2015-2018. She has a PhD from Georgia Institute of Technology, an MS from Johns Hopkins University, and a BS from University of Science and Technology of China, all in Computer Science. She and her research group, Assured Information Management and Sharing (AIMS), conduct research that addresses both fundamental and applied questions at the interface of data privacy and security, spatiotemporal data management, and health informatics. She has published over 100 papers in premier journals and conferences including VLDB, ICDE, CCS, WWW, TKDE, and JAMIA, and has received five best paper awards. She currently serves as program co-chair for ACM SIGSPATIAL 2018 and 2019, associate editor for IEEE Transactions on Knowledge and Data Engineering (TKDE), and on many program committees for data management and data security conferences. She is a recipient of a Google Research Award, IBM Smarter Healthcare Faculty Innovation Award, Cisco Research Award, and Woodrow Wilson Fellowship. Her research is supported by NSF (National Science Foundation), NIH (National Institute of Health), AFOSR (Air Force Office of Scientific Research), and PCORI (Patient-Centered Outcomes Research Institute). diff --git a/src/data/compiled_bios/5339.txt b/src/data/compiled_bios/5339.txt new file mode 100644 index 0000000000..7b6c734325 --- /dev/null +++ b/src/data/compiled_bios/5339.txt @@ -0,0 +1 @@ +Associated Faculty. . Office : . Phone : . Email : tianwei.yu@emory.edu . diff --git a/src/data/compiled_bios/534.txt b/src/data/compiled_bios/534.txt new file mode 100644 index 0000000000..c9c35a03c3 --- /dev/null +++ b/src/data/compiled_bios/534.txt @@ -0,0 +1 @@ +Lamont Kenneth Samuels Assistant Clinical ProfessorMasters Program in Computer Science Email: lamonts@cs.uchicago.edu Phone: 773-834-3388 Office: JCL 205 Website: https://masters.cs.uchicago.edu/page/lamont-samuels-phd Projects Diderot diff --git a/src/data/compiled_bios/5340.txt b/src/data/compiled_bios/5340.txt new file mode 100644 index 0000000000..828b686079 --- /dev/null +++ b/src/data/compiled_bios/5340.txt @@ -0,0 +1 @@ + David de Laat Home Publications Events Teaching About me I am a visiting assistant professor at Emory University. Before I was a postdoctoral fellow at MIT working with Henry Cohn , an ICERM semester postdoc at Brown, a postdoc at CWI working with Monique Laurent , and a PhD student at Delft University of Technology advised by Frank Vallentin . My research interests include: Convex optimization (in particular, semidefinite programming and SDP hierarchies) Discrete geometry (in particular, packing and energy minimization) Quantum information theory Harmonic analysis Real algebraic geometry (in particular, sums-of-squares characterizations) Email mail@daviddelaat.nl ddelaat@emory.edu Office MSC W413 Office hours CS 224: Monday, Tuesday, Thursday 10:30AM - 11:15AM. Math 211: Monday, Tuesday, Thursday 11:15AM - 12:00PM. diff --git a/src/data/compiled_bios/5341.txt b/src/data/compiled_bios/5341.txt new file mode 100644 index 0000000000..bb1176cdfe --- /dev/null +++ b/src/data/compiled_bios/5341.txt @@ -0,0 +1 @@ + Autonomous Agents Research Group Home Group Publications Contact About The Autonomous Agents Research Group is a research unit within the Centre for Intelligent Systems and their Applications in the School of Informatics , University of Edinburgh . Research in the group is centred on the development of artificial intelligence and machine learning technologies toward the realisation of intelligent agents (such as software agents and robots) that can act autonomously to solve problems in complex dynamic environments. The group has a strong focus on problems of coordination and cooperation in multi-agent systems, in which multiple autonomous agents interact in a shared environment. Current research focuses on inference and planning in dynamic multi-agent systems and algorithms for multi-agent reinforcement learning . The group also has experience in the development of autonomous agents applications, including in the areas of autonomous vehicles (working with FiveAI ) and cyber security. News Stefano Albrecht awarded Royal Society Industry Fellowship Call for Papers: Special Issue on Autonomous Agents Modelling Other Agents New survey article published in Artificial Intelligence ( arXiv version ) IJCAI-17 Tutorial with Peter Stone on Multiagent Learning: Foundations and Recent Trends diff --git a/src/data/compiled_bios/5342.txt b/src/data/compiled_bios/5342.txt new file mode 100644 index 0000000000..046969c418 --- /dev/null +++ b/src/data/compiled_bios/5342.txt @@ -0,0 +1 @@ + Paul Anderson Research Fellow U Work Home Research Publications Talks Software Phd Students Student Projects Contact Appointments U Play Home Hiking Scotland Hiking Abroad Skiing Drawing , I enjoyed Elias Mistler's MSc project: h Generating Guitar Tablatures with Neural Networks , Adele Mikoliunaite produced a very interesting project: h Usability of System Configuration Languages , Our compiler for a formalised subset of Puppet is available on GitHub: h uPuppet , The code for my experimental configuration language compiler is available here: h The L3 compiler h CISA h School of Informatics h University of Edinburgh h The LCFG configuration tool h Introduction to Java programming diff --git a/src/data/compiled_bios/5343.txt b/src/data/compiled_bios/5343.txt new file mode 100644 index 0000000000..0162e51178 --- /dev/null +++ b/src/data/compiled_bios/5343.txt @@ -0,0 +1 @@ + Stuart Anderson Deputy Head: School of Informatics Member: Laboratory for Foundations of Computer Science Research projects (recent and current): Smart Society Social-ist Learning Environment for Mammographic Imaging INDEED The Dependability Interdisciplinary Research Collaboration "Chameleon" Project Dependable Service-Centric Computing Sustainable Lifecycles in Information Ecosystems Curriculum vitae Publications (still fixing this up) Another book from the DIRC project: Emerging Technological Risk I'm professor of Dependable Systems at Edinburgh. I'm particularly interested in socio-technical systems, resilience of such systems and how Social Science and Informatics provide a unique perspective on the conception, design, deployment and operation of computer-based systems. The Social Informatics Cluster in Edinburgh works closely with members of ISSTI and with the Edinburgh e-Health Interdisciplinary group. Currently we are working on Information Infrastructures and their role in analysing long-lived, large-scale systems. I'm also interested in Social Computation and Collective Adaptive Systems and recently have been working jointly with NHS24 and other Scottish Agencies on the development of a Digital Health Institute designed to stimulate innovation and knowledge exchange. Prof. Stuart Anderson Informatics The University of Edinburgh Informatics Forum, Crichton Street Edinburgh EH8 9AB, UK E-mail: soa@staffmail.ed.ac.uk Tel: +44 (131) 650 5191 Fax: +44 (131) 650 6513 diff --git a/src/data/compiled_bios/5344.txt b/src/data/compiled_bios/5344.txt new file mode 100644 index 0000000000..c0fe3b6bd0 --- /dev/null +++ b/src/data/compiled_bios/5344.txt @@ -0,0 +1 @@ + University Homepage School Homepage School Contacts School Search Pavlos Andreadis Position University Teacher Roles Personal Tutor of Informatics UG Students Project supervision of Honours Project Project supervision of MSc Dissertation Email Address Office,Telephone AT-5.02,+44 (0) 131 650 3149 Home : People Informatics Forum, 10 Crichton Street, Edinburgh, EH8 9AB, Scotland, UK Tel: +44 131 651 5661, Fax: +44 131 651 1426, E-mail: school-office@inf.ed.ac.uk Database generated page, please contact us with any comments or corrections. Logging and Cookies Unless explicitly stated otherwise, all material is copyright The University of Edinburgh diff --git a/src/data/compiled_bios/5345.txt b/src/data/compiled_bios/5345.txt new file mode 100644 index 0000000000..ae203bd7dc --- /dev/null +++ b/src/data/compiled_bios/5345.txt @@ -0,0 +1 @@ + Myrto D. Arapinis Lecturer in Computer Security School of Informatics University of Edinburgh Research interests My main area of research is verification of cryptographic protocols : verification of security properties detection of attacks formal models protocol composition I am particularly interested in the analysis of privacy -type properties of applications such as mobile telephony, electronic voting, statistical databases. Internships I am currently seeking PhD, masters and undergraduate students for internships on projects in cyber security. Please contact me to apply. Publications DBLP entry Google Scholar profile Contact information Informatics Forum, Room 5.27 10 Crichton Street University of Edinburgh Edinburgh, EH8 9AB UK Tel: +44 (0) 131 650 9981 Email: marapini at inf.ed.ac.uk diff --git a/src/data/compiled_bios/5346.txt b/src/data/compiled_bios/5346.txt new file mode 100644 index 0000000000..3238ba8592 --- /dev/null +++ b/src/data/compiled_bios/5346.txt @@ -0,0 +1 @@ + Home Research Commercial People Publications Latest news Parkure Ltd is a new Edinburgh-based company with a mission to find a cure for Parkinson's disease. The have just launched an equity crowdfunding campaign to start their search. Actual Analytics Ltd launches ActualHCA an innovative home cage analysis system for 24/7 recording and analysis of multiple housed animals Brainwave-Discovery launches its new website with fully integrated social media wizardry! Gallone et al.(2011) listed as "Highly Accessed" by BMC Bioinformatics. Virtual Fly Brain launched! The virtual fly brain interactive query engine for the Drosophila brain is now open for business. Please try it out and let us know what you think. Actual Analyics launches zebrafish tracker Spin-out company Actual analytics launched their zebrafish tracking solution at the 7th European Zebrafish Meeting in Edinburgh. Brainwave-Discovery appoints US Sales Director. Matt B Mahoney joins Brainwave as Director of Business Development - North American Region. Matt B. Mahoney has been working closely with Drosophila for over ten years more... Professor J. Douglas Armstrong Contact details: Institute for Adaptive and Neural Computation School of Informatics Rm 2:30, Informatics Forum, 10 Crichton Street, Edinburgh, EH8 9AB. Tel: ++44 (0) 797 160 4838 Email: douglas.armstrong@ed.ac.uk For information on all of our group's activities see the research tab above! PhD positions We have PhD positions available for both theoretical and wet-lab based projects. If you are interested then please email me with a CV and brief outline of interests. You should also review the information about the Informatics Graduate School . You may also be interested in the Doctoral Training Centre in Neuroinformatics Teaching M.Sc in Informatics with specialism in Bioinformatics Bioinformatics I. Previous courses Applied Databases Bioinformatics II: Algorithms and Data Analysis. Copyright 2011 Douglas Armstrong Contact | T & C diff --git a/src/data/compiled_bios/5347.txt b/src/data/compiled_bios/5347.txt new file mode 100644 index 0000000000..e1e2343d68 --- /dev/null +++ b/src/data/compiled_bios/5347.txt @@ -0,0 +1 @@ + David Aspinall Professor, School of Informatics , University of Edinburgh , Scotland . Fellow of the Alan Turing Institute , London. Research Teaching Commercial Admin Research I'm part of: The Security and Privacy research group in Informatics The Cyber Security & Privacy Research Network in the University The Laboratory for Foundations of Computer Science (LFCS) The Mathematical Reasoning Group . My interests include: software security: especially certified security and proof-carrying code user authentication: passwords and challenge questions theorem proving: Proof Engineering , and proof language foundations programming and specification languages: type systems and modules See my publications on DBLP , Google Scholar or Edinburgh Research Explorer . There is also an old list by me of papers up to 2007. Research Projects Predicting the Security Behaviour of Mobile Apps is studying foundational models for describing application security behaviour, including efficient checking and semi-supervised machine learning to derive policies automatically. Detection by Learning Software Models is a network security project studying how to construct semantic models of software and devices which describe normal traffic patterns and logging behaviours, so anomalies stand out. Robustness as Evolvability is studying programmable networks and their evolution in response to cyber attacks. App Guarden examines foundations for improving security of application stores and devices. It builds on over a decade of research in the Mobility and Security Group , and brings new collaborations with Informatics colleagues working on compilers and machine learning. App Guarden finishes in March 2017, but we are examining several follow-on strands. Proof General provides a generic proof development environments for Coq and other theorem provers. I am conducting research into Proof Engineering and Hierarchical Proof . I'm also associated with a cool project on collaborative theorem proving called Proof Peer . The Integration and Interaction of Multiple Mathematical Reasoning Processes is a Platform Grant assoiated with the Mathematical Reasoning Group at Edinburgh, and groups at Heriot-Watt and Goldsmiths College. This grant brings together a range of innovative work connected with automated and interactive theorem proving and reasoning in general. See some more of my past projects . Research Students Current students: David Butler , who is working on crypto protocol verification topics at the Alan Turing Institute . Henry Clausen who is working on statistical methods for behavioural anomaly detection. If you're interested in studying for a PhD, drop me a line to discuss topics and check the Informatics S&P page , the Informatics PG page and the LFCS PG page . Former students: Joseph Hallett , whose thesis Capturing Mobile Security Policies Precisely was examined in November 2017. Joseph's examiners were Paul Jackson and Charles Morrisett. Daniel Franzen, whose thesis Quantitative Bounds on the Security-Critical Resource Consumption of JavaScript Apps was examined in July 2016. His examiners were Peter Thiemann and Alan Smaill. Gavin Keighren, whose thesis is entitled Restricting Information Flows in Security APIs via Typing and was examined in January 2014. Gavin's work was co-supervised with Graham Steel and Ian Stark . His examiners were Riccardo Focardi and James Cheney. Iain Whiteside whose PhD thesis Refactoring Proof was examined in May 2013. Iain's examiners were Markarius Wenzel and Perdita Stevens. Iain was co-supervised with Gudmund Grov and Lucas Dixon . Jaroslav Sevcik , whose PhD thesis Program Transformations in Weak Memory Models was examined in December 2008. Jaroslav's second supervisor was Colin Stirling. His examiners were Peter Sewell and John Longley. Robert Atkey , whose PhD thesis Substructural Simple Type Theories for Separation and In-place Update was examined in November 2005. His second supervisor was Ian Stark. His examiners were Nick Benton and John Power. images/valid-xhtml10.gif" align="right" alt="Valid XHTML 1.0!" border="0" height="31" width="88" /> --> David R. Aspinall , email david.aspinall@ed.ac.uk . Contact GPG key ( Instant HOWTO ) diff --git a/src/data/compiled_bios/5348.txt b/src/data/compiled_bios/5348.txt new file mode 100644 index 0000000000..9707fd72cb --- /dev/null +++ b/src/data/compiled_bios/5348.txt @@ -0,0 +1 @@ + University Homepage School Homepage School Contacts School Search Malcolm Atkinson Position Professor Roles Member of Centre for Intelligent Systems and their Applications Email Address Office,Telephone IF-5.26,+44 (0) 131 651 4040 Publications - Edinburgh Research Explorer Home : People Informatics Forum, 10 Crichton Street, Edinburgh, EH8 9AB, Scotland, UK Tel: +44 131 651 5661, Fax: +44 131 651 1426, E-mail: school-office@inf.ed.ac.uk Database generated page, please contact us with any comments or corrections. Logging and Cookies Unless explicitly stated otherwise, all material is copyright The University of Edinburgh diff --git a/src/data/compiled_bios/5349.txt b/src/data/compiled_bios/5349.txt new file mode 100644 index 0000000000..278b912bf9 --- /dev/null +++ b/src/data/compiled_bios/5349.txt @@ -0,0 +1 @@ + University Homepage School Homepage School Contacts School Search Benjamin Bach Position Lecturer in Design Informatics & Visualisation Roles Member of Institute for Language, Cognition and Computation Coordinator of Student Support Personal Tutor of Informatics UG Students Project supervision of Honours Project Project supervision of MSc Dissertation Research Interests Information Visualization, Augmented Reality, Human-Computer Interaction, Networks Email Address Office,Telephone IF-4.30,51 3076 Publications - Edinburgh Research Explorer Personal Page Home : People Informatics Forum, 10 Crichton Street, Edinburgh, EH8 9AB, Scotland, UK Tel: +44 131 651 5661, Fax: +44 131 651 1426, E-mail: school-office@inf.ed.ac.uk Database generated page, please contact us with any comments or corrections. Logging and Cookies Unless explicitly stated otherwise, all material is copyright The University of Edinburgh diff --git a/src/data/compiled_bios/535.txt b/src/data/compiled_bios/535.txt new file mode 100644 index 0000000000..a07fb01cc8 --- /dev/null +++ b/src/data/compiled_bios/535.txt @@ -0,0 +1 @@ +L\xc3\xa1szl\xc3\xb3 Babai George and Elizabeth Yovovich Professor,Departments of Computer Science and Mathematics Email: laci@cs.uchicago.edu Phone: (773) 702-3486 Office: JCL 242 Website: http://people.cs.uchicago.edu/~laci Research: discrete mathematics, theory Research I work in the fields of theoretical computer science and discrete mathematics; more specifically in computational complexity theory, algorithms, combinatorics, and finite groups, with an emphasis on the interactions between these fields. Asymptotic questions and probabilistic methods are common features in my work in each of these areas. The introduction of Las Vegas algorithms, interactive proofs, holographic proofs (proofs verifiable by spotchecks) are among the conceptual highlights. A recent example: methods of the complexity theories of Boolean circuits and branching programs have been brought to bear on the analysis of a popular random sampling technique in computational group theory. diff --git a/src/data/compiled_bios/5350.txt b/src/data/compiled_bios/5350.txt new file mode 100644 index 0000000000..7b263b8f31 --- /dev/null +++ b/src/data/compiled_bios/5350.txt @@ -0,0 +1 @@ +Toggle navigation Vaishak Belle About Papers Honors Software Talks Contact Belle Lab Vaishak Belle Tutorial onunifying logic, probability anddynamics October 30, 2018 I gave the tutorial at the 16th International Conference on Principles of Knowledge Representation and Reasoning / KR 2018. Slides here . Probabilistic Planning by Probabilistic Programming: Semantics, Inference and Learning October 28, 2018 I gave a talk at the Cognitive Robotics Workshop at KR-18. Thanks to Alex and Gerald for the invitation! Slides here . Towards Intepretable & Responsible AI October 24, 2018 I gave a talk at the London Machine Learning Meetup. Thanks to the organizers for the invitation! Slides here. ACAI 2018: Summer school on statistical relational AI August 28, 2018 I gave at a tutorial on effective inference and learning with probabilistic logical models in continuous domains, at ACAI 2018. Slides here. IJCAI-ECAI 2018 Workshop on Learning & Reasoning July 13, 2018 We are organising a workshop on integrating learning and reasoning at IJCAI-ECAI in Sweden. RSE YAS member July 11, 2018 Im thrilled to become a member of the Royal Society of Edinburgh (RSE) Young Academy of Scotland. New AIJ article accepted June 27, 2018 The article introduces a general logical framework for reasoning about discrete and continuous probabilistic models in dynamical domains. Next page 20142019 Copyright by Vaishak Belle . All rights reserved. Theme by Loot Valley . diff --git a/src/data/compiled_bios/5351.txt b/src/data/compiled_bios/5351.txt new file mode 100644 index 0000000000..04ad6d8481 --- /dev/null +++ b/src/data/compiled_bios/5351.txt @@ -0,0 +1 @@ + About Research Publications Teaching Students Open source Talks Service Contact Pramod Bhatotia Associate Professor @ The University of Edinburgh Turing Fellow @ The Alan Turing Institute News ( ) - Our work on secure LSM-based KV store has been accepted to USENIX FAST'19 . - Excited to join the UK hardware security research institute (UK RISE) . - Invited to give a talk at Samsung AI Cambridge . - Our work on ApproxJoin has been accepted to ACM SoCC'18 . - Invited talks at Imperial College London and TU Munich . - Invited to give a talk at the workshop organized by Huawei Research . - Invited to give a talk in the Provenance Week , 2018. - Invited to serve on the PC of EuroSys'19 . - Our work on Intel MPX Explained got accepted to SIGMETRICS'18 . - Our Cntr project got accepted to USENIX ATC'18 . - Invited to give a talk at LADIS'18 . - SGXBounds accepted to SYSTOR'18 (Hightlight papers track) ! - Our work on policy enhanced secure storage has been accepted to ACM EuroSys'18 . - Our work on secure middleboxes has been accepted to ACM SIGCOMM SOSR'18 . - Our work on approximate analytics for edge computing has been accepted to ICDCS'18 . - Invited to serve on the program committee of USENIX ATC'18 . - Awarded a research grant from Huawei! - Dmitrii and Do sucessfully defended PhD, both were awarded Summa Cum Laude! - Invited to serve on the program committee of ACM Middleware'18 . - Invited to serve on the award committee of EuroSys Roger Needham PhD Award , 2018. - Sieve and StreamApprox were accepted at Middleware'17 ! - Serving as PC Co-Chair for ICDCS'18 (Dependability track). - Serving as PC Co-Chair for EuroSys Doctoral Workshop (EuroDW) , 2018. - Approximate Computing for Spark Streaming was accepted at Spark Summit, 2017 ! - Approximate Stream Analytics in Apache Flink was accepted at Flink Forward, 2017 ! - Invited to participate in the Dagstuhl Seminar on Secure Compilation . - Awarded a research grant from Amazon Web Services (AWS). - Invited to serve on the editorial board of Encyclopedia of Big Data. - Awarded a Microsoft Research Azure Grant! - Serving as EuroSys'18 Workshops Chair. - Best paper award at EuroSys'17 for SGXBounds! - PrivApprox accepted to USENIX ATC'17 ! - Invited to serve on the PC of EuroSys'18 (heavy) and FAST'18 . - Awarded faculty fellowship of the Alan Turing Institute (ATI) . - SGXBounds accepted to EuroSys'17 ! - Fex accepted to DSN'17 ! - Awarded an early career research grant (PECE) by SICSA . - Invited to serve on the PC of the Workshop on Incremental Computing (IC) co-located with PLDI'17. - Invited to participate in the Dagstuhl Seminar on Big Stream Processing Systems . - Co-organizing the Workshop on Resilient Systems featuring excellent keynote speakers . - Offering a winter course on Cloud Computing, 2017 at the Universidad de Buenos Aires , Argentina. - Summer internships 2017: Jrg @ MSR Cambridge, and Dmitry @ Intel Research. About I'm an Associate Professor (Senior Lecturer) in the School of Informatics at the University of Edinburgh , where I'm affliated with the Institute for Computing Systems Architecture (ICSA) . I'm also a Turing Fellow at the Alan Turing Institute (ATI) , UK's national institute for data science and artificial intelligence (AI). In the School of Informatics, I participate in two centers for Doctoral Training (CDT): Pervasive Parallelism and Data Science . Before moving to the UK, I was an independent research group leader in the (cfaed) Cluster of Excellence at TU Dresden , where I ledtheParallel and Distributed Systems group. I graduated witha PhD in Computer Science from the Systems group at the Max Planck Institute for Software Systems (MPI-SWS) . During my PhD, Ive had fruitful internships/collaborations with Microsoft Research , IBM Research , Yahoo! Research and Bell Labs . Prior to joining MPI-SWS, I worked as a member of technical staff at Adobe Systems and in the HPC group at IBM ResearchIndia . Before that, I was a graduate student at IIT Kanpur . Research Im a systems researcher: I love to design and build systems! A common goal of my research is to build computer systems that are efficient, reliable, and secure. As an experimental computer systems researcher, I work at the intersection of operating systems, distributed systems, storage systems, system security, "Big Data" systems, and cloud computing. In the past, I've also worked on compilers for multicores, and high performance computing. Please see my publications Teaching Courses offered Extreme Computing, University of Edinburgh - Fall 2018 Operating Systems (guest lecturer), University of Edinburgh - Winter/Spring 2018 Cloud Computing, Universidad de Buenos Aires - Summer 2017 Distributed Systems (guest lecturer), MPI-SWS/Saarland University - Fall 2016 Systems Engineering II (Jointly w/ Prof. Fetzer), TU Dresden - Fall 2015 "Big Data" Systems, MPI-SWS - Spring 2015 Teaching assistant Fundamentals of Computing (two terms), IIT Kanpur Distributed Systems, MPI-SWS Mobile Computing, IIT Kanpur Systems seminar, MPI-SWS Students PhD students Maurice Bailleu Sheung Chi (Arthur) Chan (co-advised w/ James Cheney) Matthias Hille Antonios Iliopoulos (co-advised w/ Vijay Nagarajan) Jrg Thalheim Past PhD students Dmitrii Kuvaiskii (Research Scientist @ Intel Research, USA) - Thesis : Hardware-Assisted Dependable Systems [ Thesis ] (Summa Cum Laude) - Joint papers : [EuroSys'16], [DSN'16], [EuroSys'17], [DSN'17], and [SIGMETRICS'18] - Internship : Intel Research Lab Do Le Quoc - Thesis : Approximate Data Analytics Systems [ Thesis ] (Summa Cum Laude) - Joint papers : [WWW'16], [USENIX ATC'17], [Middleware'17], [ICDCS'18], and [SoCC'18] - Internship : NOKIA Bell Labs Masters/Diplomastudents Chiang Chi-an Alfred Krohmer: [ACM SIGCOMM SOSR'18] Dhanya Krishnan: [WWW'16] Marius Melzer (co-advised with Asterios Katsifodimos) Barbara Munirova Jrg Thalheim: [ICDCS'16] and [Middleware'17] Tobias Weschenfelder Thesis committee member Vesna Nowack (Barcelona Supercomputing Center) --- Jan 2016 Praveen Tammana (University of Edinburgh) --- Feb 2018 Arpit Joshi (University of Edinburgh) --- April 2018 Softwares We try to open source our work whenever possible: Inspector PrivApprox IncApprox StreamApprox HAFT Elzar Fex MPX Explained Sieve SGXBounds Cntr ProvMark ApproxIoT Talks Conference talks UK RISE Annual Conference, London, November 2018 Provenance Week, London, July 2018 ACM LADIS18, London, July 2018 Spark Summit, Dublin, October 2017 Flink Forward, Berlin, September 2017 IoT Symposium, Edinburgh, July 2017 ACM WWW'16, Montreal, April 2016 Hadoop Summit'15, Brussels, April 2015 ACM ASPLOS15, Istanbul, March 2015 ACM/USENIX Middleware14, Bordeaux, December 2014 USENIX FAST12, San Jose, February 2012 ACM SoCC11, Lisbon, October 2011 USENIX HotCloud11, Portland, June 2011 ACM LADIS10, Zurich, July 2010 ACM/IEEE HiPC10, Goa, December 2010 ACM/IEEE HiPC08, Bangalore, December 2008 Invited talks Huawei Research Headquarters Shenzhen, December 2018 Samsung AI Cambridge, September 2018 TU Munich, July 2018 Imperial College London, July 2018 Huawei Research, June 2018 TU Dresden, June 2018 Hasso Plattner Institute, May 2018 Dagstuhl Seminar, May 2018 University of Glasgow, April 2018 IIT Delhi, March 2018 Dagstuhl Seminar, November 2017 Universidad de Buenos Aires, July 2017 University of Edinburgh, March 2017 Northeastern University, November 2016 Dagstuhl Seminar, October 2016 TU Braunschweig, September 2016 TU Dresden, August 2016 Friedrich-Alexander-Universitt (FAU) Erlangen-Nrnberg, August 2016 University of Edinburgh, June 2016 ETH Zurich, May 2016 Reykjavik University, May 2016 University of Copenhagen, May 2016 Microsoft Research Redmond, April 2016 Microsoft Research Cambridge, March2016 University of Washington, Seattle, April 2016 Southern Denmark University, March 2016 Georg-August-Universitt Gttingen, September 2015 Systems workshop, Goslar, September 2015 TU Berlin, September2015 VU Amsterdam, September 2015 TU Munich, July 2015 TU Dresden, September 2014 Universitat Paderborn, August 2014 Johannes Gutenberg-Universitat Mainz , August 2014 Bell Labs Germany, July 2014 NEC Research Heidelberg, May 2014 EPFL Lausanne, May 2014 Telefonica Research Barcelona, April 2014 IMDEA Networks Madrid, March 2014 Microsoft Research Cambridge, March 2014 NOVA University of Lisbon, March 2014 Telefonica Research Barcelona, December 2013 Microsoft Research Cambridge, August2012 Bell Labs India, November 2011 IBM Research India, August2008 Service Organizer PC Co-Chair, IEEE ICDCS (Dependability track) , 2018 PC Co-Chair, Middleware Doctoral Workshop , 2020 Workshops Co-Chair, ACM EuroSys , 2018 PC Co-Chair, EuroSys Doctoral Workshop (EuroDW) , 2018 Associate Editor, Encyclopedia of Big Data Technologies , 2019 Program Co-Chair and organizer, Workshop on Resilient Systems , 2017 Jury member British Computer Society (BCS) Distinguished Dissertation, 2018 EuroSys Roger Needham PhD Award, 2018 Conference program committee member ACM EuroSys 2019 USENIX ATC 2018 ACM/IFIP/USENIX Middleware 2018 USENIX FAST 2018 ACM EuroSys 2018 Conference and workshop reviewer ACM International Symposium on Code Generation and Optimization (CGO) 2018 IEEE International Conference on Dependable Systems and Networks (DSN) 2016 IEEE International Parallel and Distributed Processing Symposium (IPDPS) 2016 USENIX Operating Systems Design and Implementation (OSDI) 2014 ACM Symposium on Cloud Computing (SoCC) 2014 ACM European Conference on Computer Systems (EuroSys) 2012, 2013, 2014 ACM SIGOPS Workshop on Large Scale Distributed Systems and Middleware (LADIS) 2013 ACM/USENIX International Systems and Storage Conference (SYSTOR) 2011 USENIX Networked Systems Design and Implementation (NSDI) 2010 USENIX International workshop on Peer-To-Peer Systems (IPTPS) 2010 ACM International Conference on Functional Programming (ICFP) 2010 ACM Symposium on Principles and Practice of Parallel Programming (PPoPP) 2010 Journal reviewing ACM Transactions on Computer Systems (ACM TOCS) ACM Transactions on the Web (ACM TWeb) IEEE Transactions on Parallel and Distributed Systems (IEEE TPDS) IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE) IEEE Transactions on Dependable and Secure Computing (IEEE TDSC) Advances in data processing techniques in the era of Big Data (CRC Press) Encyclopedia of Big Data Poster committee member ACM SIGCOMM, 2018 IEEE International Conference on COMmunication Systems and NETworkS (COMSNETS), 2016 Workshop program committee member USENIX Workshop on Hot Topics in Edge Computing (HotEdge), 2019 Principles of Secure Compilation (PriSC), co-located with POPL, 2019 COMSNETS Doctoral Workshop, co-located with COMSNETS, 2019 System Software for Trusted Execution (SysTEX) workshop, co-located with CCS, 2018 Incremental Computing (IC) workshop, co-located with PLDI, 2017 Distributed Cloud Computing (DCC) workshop, co-located with INFOCOM, 2017 Distributed Cloud Computing (DCC) workshop, co-located with PODC, 2016 Institutional service Faculty hiring committee for IoT at the University of Edinburgh, UK (2017) Student representative for MPI-SWS in the Max Planck Society (2011-2013) Contact Email: pramod.bhatotia@ed.ac.uk Phone: +44 (0) 131 650 2737 (Please note that I strongly prefer e-mail) Skype: pramod.bhatotia Address: Room # 1.04A, Informatics Forum, School of Informatics, The University of Edinburgh, 10 Crichton Street, Edinburgh, EH8 9AB, United Kingdom Credits: Template design by Andreas Viklund / Profile photo courtesy cfaed, TU Dresden and Katharina Knaut diff --git a/src/data/compiled_bios/5352.txt b/src/data/compiled_bios/5352.txt new file mode 100644 index 0000000000..fa567c074f --- /dev/null +++ b/src/data/compiled_bios/5352.txt @@ -0,0 +1 @@ + HAKAN BILEN About Vacancies Group Publications Dr. Hakan Bilen Google Scholar GitHub School of Informatics 1.41a University of Edinburgh 10 Crichton Street Edinburgh EH8 9AB NEWS / ACTIVITY Feb19, New group page . Dec18, ICLR paper accepted. Congrats to Lucas and Iain. Nov18, Welcome Konda . Oct18, Welcome Octave . Sept18, Welcome Taha . Sept18, Welcome Wei-Hong . Sept18, Two papers accepted at NIPS. April18, Organising a CVPR18 tutorial about WSL. March18, CVPR18 and NIPS17 code is available now. March18, Area chair in ECCV18 and BMVC18 . Feb18, CVPR18 paper is accepted, congrats to Sylvestre and Andrea! Outstanding reviewer at ICCV17 . Nov17. State-of-the-art action classification performance in our pami journal . Oct17. I am seeking a UK/EU PhD candidate in computer vision and machine learning. September 2017. Two papers (an oral and a spotlight) accepted at NIPS17. July17. ICCV paper accepted as oral. ABOUT I am a lecturer (assistant professor) in the School of Informatics at the University of Edinburgh and leading the Visual Computing Group ( VICO ). My research focuses on computer vision and machine learning. Before Edinburgh, I have spent three wonderful years in the great Visual Geometry Group (VGG) at the University of Oxford as a postdoc, working with Andrea Vedaldi . I completed my PhD in VISICS group in KU Leuven . I was lucky to work with Luc Van Gool and Tinne Tuytelaars . My PhD topic was about image classification with latent parameters with a focus on weakly supervised object detection and action recognition. My bachelors and masters degrees are from Sabanci University where I was working on micro-robotics with Mustafa Unel who thankfully introduced me to computer vision. Hakan Bilen 2017. Template copied from gbaydin . Built using jekyll , jekyll-scholar and bootstrap . diff --git a/src/data/compiled_bios/5353.txt b/src/data/compiled_bios/5353.txt new file mode 100644 index 0000000000..bd6e55050c --- /dev/null +++ b/src/data/compiled_bios/5353.txt @@ -0,0 +1 @@ + This site uses cookies for analytics, personalized content and ads. By continuing to browse this site, you agree to this use. Learn more Microsoft Research Research Research Home Research areas Intelligence Artificial intelligence Audio & acoustics Computer vision Graphics & multimedia Human-computer interaction Human language technologies Search & information retrieval Systems Data management, analysis and visualization Hardware & devices Programming languages & software engineering Quantum computing Security, privacy & cryptography Systems & networking Theory Algorithms Mathematics Other Sciences Ecology & environment Economics Medical, health & genomics Social sciences Technology for emerging markets Products & Downloads Programs & Events Academic Programs Events & Conferences Careers People Blogs & Podcasts Microsoft Research Blog The Microsoft Research Podcast The AI Blog Microsoft Research Newsletter Labs & Locations Microsoft Research MSR AI Asia Lab (Chinese) Asia Lab (English) Cambridge Lab India Lab Montreal Lab New England Lab New York City Lab Redmond Lab Other labs/locations Applied Sciences Lab Advanced Technology Lab Cairo Quantum About Research at Microsoft More All Microsoft Microsoft 365 Azure Office 365 Dynamics 365 SQL Windows 10 Products & Services Windows Server Enterprise Mobility + Security Power BI Teams Visual Studio Microsoft Advertising Emerging Technologies AI Internet of Things Azure Cognitive Services Quantum Microsoft HoloLens Mixed Reality Developer & IT Docs TechNet Developer Network Windows Dev Center Windows IT Pro Center FastTrack Partner Partner Network Solution Providers Partner Center Cloud Hosting Industries Education Financial services Government Health Manufacturing & resources Retail Other Security Licensing AppSource Azure Marketplace Events Research View Sitemap Search Cancel Christopher Bishop Technical Fellow and Laboratory Director, Microsoft Research Cambridge Contact Info Telephone +44 (0)1223 479993 Email LinkedIn Twitter Research areas Artificial intelligence About Publications Videos Downloads PRML Book About Christopher Bishop is a Microsoft Technical Fellow and Director of the Microsoft Research Lab in Cambridge, UK. He is also Professor of Computer Science at the University of Edinburgh, and a Fellow of Darwin College, Cambridge. In 2004, he was elected Fellow of the Royal Academy of Engineering, in 2007 he was elected Fellow of the Royal Society of Edinburgh, and in 2017 he was elected Fellow of the Royal Society. At Microsoft Research, Chris oversees a world-leading portfolio of industrial research and development, with a strong focus on machine learning and AI, and creating breakthrough technologies in cloud infrastructure, security, workplace productivity, computational biology, and healthcare. Chris obtained a BA in Physics from Oxford, and a PhD in Theoretical Physics from the University of Edinburgh, with a thesis on quantum field theory. From there, he developed an interest in pattern recognition, and became Head of the Applied Neurocomputing Centre at AEA Technology. He was subsequently elected to a Chair in the Department of Computer Science and Applied Mathematics at Aston University, where he set up and led the Neural Computing Research Group. Chris is the author of two highly cited and widely adopted machine learning text books: Neural Networks for Pattern Recognition (1995) and Pattern Recognition and Machine Learning (2006). He has also worked on a broad range of applications of machine learning in domains ranging from computer vision to healthcare. Chris is a keen advocate of public engagement in science, and in 2008 he delivered the prestigious Royal Institution Christmas Lectures, established in 1825 by Michael Faraday, and broadcast on national television. Publications View by Year Research Area Publication Type Hide All Publications 2015 2015 Exposing variation in climate change risk assessment Matthew Smith , Drew Purves, Lucas Joppa , Stephen Emmott, Vassily Lyutsarev , Christopher Bishop , Paul I. Palmer, Ben Calderhead, Mark Vanderwel AGU Fall Meeting | December 2015 Published by AGU Accepted talk at 2015 Fall Meeting of American Geophysical Union View Publication Patterns of IgE responses to multiple allergen components and clinical symptoms at age 11 years Angela Simpson, Nevena Lazic, Danielle C. M. Belgrave, Phil Johnson, Christopher Bishop , Clare Mills, Adnan Custovic Journal of Allergy and Clinical Immunology | November 2015 View Publication | View Publication The Study Team for Early Life Asthma Research (STELAR) consortium Asthma e-lab: team science bringing data, methods and investigators together Adnan Custovic, John Ainsworth , Hasan Arshad , Christopher Bishop , Iain Buchan, Paul Cullinan , Graham Devereux , John Henderson , John Holloway , Graham Roberts , Steve Turner , Ashley Woodcock , Angela Simpson Thorax | March 2015 View Publication | View Publication | View Publication 2014 2014 Changing how Earth System Modelling is done to provide more useful information for decision making, science and society Matthew Smith , Paul I. Palmer, Drew Purves, Mark Vanderwel, Vassily Lyutsarev , Ben Calderhead, Lucas Joppa , Christopher Bishop , Stephen Emmott Bulletin of the American Meteorological Society | October 2014 View Publication | View Publication Developmental Profiles of Eczema, Wheeze, and Rhinitis: Two Population-Based Birth Cohort Studies Danielle C. M. Belgrave, Raquel Graneli, Angela Simpson, John Guiver , Christopher Bishop , Iain Buchan, A. John Henderson, Adnan Custovic PLOS Medicine | October 2014 View Publication | View Publication Students, Teachers, Exams and MOOCs: Predicting and Optimizing Attainment in Web-Based Education Using a Probabilistic Graphical Model Bar Shalem, John Guiver , Christopher Bishop , Yoram Bachrach September 2014 Published by ECML/PKDD View Publication Trajectories of Lung Function during Childhood Danielle C. M. Belgrave, Iain Buchan, Christopher Bishop , Lesley Lowe, Angela Simpson, Adnan Custovic American Journal of Respiratory and Critical Care Medicine | January 2014, Vol 189(9): pp. 1101-1109 View Publication | View Publication Artificial Life Christopher Bishop Life | January 2014 View Publication 2013 2013 Multiple Atopy Phenotypes and Their Associations with Asthma: Similar Findings From Two Birth Cohorts N. Lazic, G. Roberts, A. Custovic, D. Belgrave, Christopher Bishop , John Winn , J.A. Curtin, S. Hasan Arshad, A. Simpson Allergy | June 2013, Vol 68(6): pp. 764 View Publication | View Publication Model-Based Machine Learning Christopher Bishop Philosophical Transactions of the Royal Society A | February 2013, Vol 371: pp. 117 View Publication | View Publication Structural Expectation Propagation (SEP): Bayesian Structure Learning For Networks With Latent Variables Nevena Lazic, Christopher Bishop , John Winn Proceedings Sixteenth International Conference on Artificial Intelligence and Statistics (AIStats) | January 2013 Published by AISTATS View Publication 2012 2012 Bayesian Machine Learning Approaches for Longitudinal Latent Class Modelling to Define Wheezing Phenotypes to Elucidate Genetic and Environmental Predisposition Danielle Belgrave, Angela Simpson, Iain Buchan, Adnan Custovic, Christopher Bishop Methods and models for Latent Variables Conference, Naples. Quaderni di Statistica | January 2012 View Publication 2011 2011 Broad versus Narrow: Modelling Strategies for Online Behavioural Targeting Markus Svensn, Qing Xu, David Stern, Steve Hanks, Christopher Bishop In Proceedings of the Fifth International Workshop on Data Mining and Audience Intelligence for Advertising (ADKDD), San Diego, USA | August 2011 Published by ACM Press View Publication A Comparison of Bayesian and Frequentist Methods for Identifying Markers of Susceptibility to Asthma Christopher Bishop Proceedings of the International Workshop of Statistical Modelling, Valencia | January 2011 View Publication 2010 2010 Beyond Atopy: Multiple Patterns of Sensitization in Relation to Asthma in a Birth Cohort Study Angela Simpson, Vincent Y. Tan, John Winn , Markus Svensn, Christopher Bishop , David Heckerman, Iain Buchan, Adnan Custovic American Journal of Respiratory and Critical Care Medicine | February 2010, Vol 181: pp. 1200-1206 View Publication | View Publication 2009 2009 A Unified Modeling Approach to Data-Intensive Healthcare Iain Buchan, John Winn , Christopher Bishop in The Fourth Paradigm: Data-Intensive Scientific Discovery The Fourth Paradigm: Data-Intensive Scientific Discovery | Published by Microsoft Research | 2009 | The Fourth Paradigm: Data-Intensive Scientific Discovery edition View Publication 2008 2008 A New Framework for Machine Learning Christopher Bishop In computational Intelligence: Research Frontiers, IEEE World Congress on Computational Intelligence, WCCI 2008, Hong Kong, June 2008 Lecture Notes in Computer Science | June 2008 Published by Springer View Publication 2007 2007 Generative or Discriminative? Getting the Best of Both Worlds Christopher Bishop , Julia Lasserre Bayesian Statistics | January 2007, Vol 8: pp. 323 View Publication 2006 2006 Discriminative Writer Adaptation Martin Szummer, Christopher Bishop 10th Intl. Workshop on Frontiers in Handwriting Recognition (IWFHR) | October 2006 View Publication Principled Hybrids of Generative and Discriminative Models Julia A. Lasserre, Christopher Bishop , Tom Minka IEEE Conference on Computer Vision and Pattern Recognition | June 2006 Published by IEEE Computer Society View Publication Pattern Recognition and Machine Learning Christopher Bishop Published by Springer | January 2006 Download PDF | View Publication 2005 2005 Generative versus Discriminative Methods for Object Recognition Ilkay Ulusoy, Christopher Bishop In Proceedings IEEE International Conference on Computer Vision and Pattern Recognition, CVPR., San Diego. | June 2005 View Publication Robust Bayesian Mixture Modelling Markus Svensn, Christopher Bishop Neurocomputing, Proceedings Twelfth European Symposium on Artificial Neural Networks | January 2005 Published by d-side View Publication Comparison of Generative and Discriminative Techniques for Object Detection and Classification Ilkay Ulusoy, Christopher Bishop Proceedings Sicily Workshop on Object Recognition, Sicily | January 2005 View Publication Object Recognition via Local Patch Labelling Christopher Bishop , Ilkay Ulusoy Proceedings 2004 Workshop on Machine Learning, Sheffield | January 2005 Published by Springer View Publication 2004 2004 Generative Models and Bayesian Model Comparison for Shape Recognition Balaji Krishnapuram, Christopher Bishop , Martin Szummer 9th Intl. Workshop on Frontiers in Handwriting Recognition (IWFHR) | October 2004 Organized by IEEE View Publication Variational Message Passing John Winn , Christopher Bishop Journal of Machine Learning Research | January 2004, Vol 5 Accepted for publication View Publication Clumps, Clusters and Classification Christopher Bishop in Computer Systems: Theory, Technology and Applications. A Tribute to Roger Needham Computer Systems: Theory, Technology and Applications. A Tribute to Roger Needham | Published by Springer | 2004 | Computer Systems: Theory, Technology and Applications. A Tribute to Roger Needham edition View Publication Distinguishing text from graphics in on-line handwritten ink Christopher Bishop , Markus Svensn, Geoffrey E. Hinton Proceedings International Workshop on Frontiers in Handwriting Recognition, IWFHR-9 | January 2004 accepted for publication View Publication 2003 2003 Bayesian Hierarchical Mixtures of Experts Christopher Bishop , Markus Svensn Proceedings Nineteenth Conference on Uncertainty in Artificial Intelligence | January 2003 Published by Morgan Kaufmann View Publication Structured Variational Distributions in VIBES Christopher Bishop , John Winn Proceedings Artificial Intelligence and Statistics | January 2003 Published by Society for Artificial Intelligence and Statistics | Organized by Society for Artificial Intelligence and Statistics ISBN 0-9727358-0-1 View Publication Bayesian Regression and Classification Christopher Bishop , Michael E. Tipping January 2003 Advances in Learning Theory: Methods, Models and Applications View Publication Super-resolution Enhancement of Video Christopher Bishop , Andrew Blake, Bhaskara Marthi Proceedings Artificial Intelligence and Statistics | January 2003 Published by Society for Artificial Intelligence and Statistics ISBN 0-9727358-0-1 View Publication 2002 2002 VIBES: A variational inference engine for Bayesian networks C. M. Bishop, J. M. Winn, D. Spiegelhalter, Christopher Bishop , John Winn Advances in Neural Information Processing Systems | January 2002 View Publication Bayesian Image Super-resolution Michael E. Tipping, Christopher Bishop Advances in Neural Information Processing Systems | January 2002 View Publication Discussion of `Bayesian Treed Generalized Linear Models by H. A. Chipman, E. I. George and R. E. McCulloch Christopher Bishop Proceedings Seventh Valencia International Meeting on Bayesian Statistics | January 2002 Published by Oxford University Press View Publication 2001 2001 Automatic signal classification in fluorescence in-situ hybridization images B. Lerner, W. F. Clocksin, S. Dhanjal, M. A. Hulten, Christopher Bishop Cytometry | January 2001, Vol 43: pp. 87-93 View Publication Feature representation for the automatic analysis of fluorescence in-situ hybridization images Boaz Lerner, William F. Clocksin, Seema Dhanjal, Maj A. Hulten, Christopher Bishop IEEE Transactions on Systems, Man and Cybernetics | January 2001, pp. 655-665 View Publication Optimising Synchronisation Times for Mobile Devices Neil D. Lawrence, Ant Rowstron , Christopher Bishop , Mike Taylor Advances in Neural Information Processing Systems | January 2001 Published by MIT Press View Publication Probabilistic Modelling of Replica Divergence Ant Rowstron , N. D. Lawrence, Christopher Bishop HotOS 2001 | January 2001 View Publication Variational Bayesian Model Selection for Mixture Distributions A. Corduneanu, Christopher Bishop Proceedings Eighth International Conference on Artificial Intelligence and Statistics | January 2001 Published by Morgan Kaufmann View Publication 2000 2000 Non-linear Bayesian image modelling C. M. Bishop, J. M. Winn, Christopher Bishop , John Winn Proceedings Sixth European Conference on Computer Vision | January 2000 Published by Springer-Verlag Winner of ECCV 2000 Best Paper Prize View Publication Variational Relevance Vector Machines Christopher Bishop , Michael E Tipping Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence; Proceedings of the 15th International Workshop on Statistical Modelling | January 2000 Published by Morgan Kaufmann View Publication 1999 1999 Bayesian PCA Christopher Bishop Advances in Neural Information Processing Systems | January 1999 Published by MIT Press View Publication Latent Variable Models Christopher Bishop Learning in Graphical Models | January 1999 Published by MIT Press View Publication Mixtures of Probabilistic Principal Component Analyzers M. E. Tipping, Christopher Bishop Neural Computation | January 1999, Vol 11: pp. 443-482 View Publication Neural network training using multi-channel data with aggregate labelling N. McGrogan, Christopher Bishop , L. Tarassenko Proceedings Ninth International Conference on Artificial Neural Networks, ICANN'99 | January 1999 Published by IEE View Publication | View Publication Neural Network-Based Wind Vector Retrieval from Satellite Scatterometer Data Dan Cornford, Ian T. Nabney, Christopher Bishop Neural Computing and Applications | January 1999, Vol 8: pp. 206-217 View Publication Pattern Recognition and Feedforward Neural Networks Christopher Bishop January 1999 The MIT Encyclopedia of the Cognitive Sciences View Publication Probabilistic Principal Component Analysis M. E. Tipping, Christopher Bishop Journal of the Royal Statistical Society, Series B | January 1999, Vol 21(3): pp. 611-622 Available from http://www.ncrg.aston.ac.uk/Papers/index.html View Publication Variational Principal Components Christopher Bishop Proceedings Ninth International Conference on Artificial Neural Networks, ICANN'99 | January 1999 Published by IEE View Publication 1998 1998 Neural Networks and Machine Learning Christopher Bishop Published by Springer Verlag | November 1998, Vol 168 View Publication GTM: The Generative Topographic Mapping Christopher Bishop , Markus Svensn, Christopher K.I. Williams January 1998 View Publication A Hierarchical Latent Variable Model for Data Visualization Christopher Bishop , M. E. Tipping IEEE Transactions on Pattern Analysis and Machine Intelligence | January 1998, Vol 20-Mar: pp. 281-293 View Publication Approximating posterior distributions in belief networks using mixtures Christopher Bishop , N. Lawrence, T. Jaakkola, M. I. Jordan Advances in Neural Information Processing Systems | January 1998 View Publication Developments of the Generative Topographic Mapping Christopher Bishop , Markus Svensn, Christopher K. I. Williams Neurocomputing | January 1998, Vol 21: pp. 203-224 View Publication Ensemble learning for multi-layer networks D. Barber, Christopher Bishop Advances in Neural Information Processing Systems | January 1998 View Publication Ensemble learning in Bayesian neural networks D. Barber, Christopher Bishop Generalization in Neural Networks and Machine Learning | January 1998 Published by Springer Verlag View Publication Markovian Inference in Belief Networks B. J. Frey, N. Lawrence, Christopher Bishop January 1998 Presented at the Learning Workshop, Snowbird View Publication Mixture representations for inference and learning in Boltzmann machines N. Lawrence, Christopher Bishop , M. Jordan Uncertainty in Artificial Intelligence | January 1998 Published by Morgan Kaufmann View Publication Pulsed Neural Networks Wolfgang Maass, Christopher Bishop Published by MIT Press | January 1998 View Publication Regression with Input-Dependent Noise: A Gaussian Process Treatment Paul W. Goldberg, Christopher K. I. Williams, Christopher Bishop NCRG/98/002 | January 1998 Advances in Neural Information Processing Systems View Publication Variational Learning in Graphical Models and Neural Networks Christopher Bishop Proceedings 8th International Conference on Artificial Neural Networks, ICANN'98 | January 1998 Published by Springer View Publication 1997 1997 Bayesian Inference of Noise Levels in Regression Christopher Bishop , C. S. Qazaz Proceedings 1996 International Conference on Artificial Neural Networks, ICANN'96, Bochum, Germany | January 1997 Published by Springer-Verlag View Publication Bayesian Model Comparison by Monte Carlo Chaining David Barber, Christopher Bishop Advances in Neural Information Processing Systems | January 1997 Published by MIT Press View Publication Bayesian neural networks Christopher Bishop Journal of the Brazilian Computer Society | January 1997, Vol 1(4): pp. 61-68 Special issue on neural networks View Publication | View Publication GTM through time Christopher Bishop , Geoffrey E. Hinton, Iain G. D. Strachan Proceedings IEE Fifth International Conference on Artificial Neural Networks, Cambridge, U.K. | January 1997 View Publication GTM: a principled alternative to the Self-Organizing Map Christopher Bishop , Markus Svensn, Christopher K. I. Williams International Conference on Artificial Neural Networks, ICANN'96 | January 1997 Published by Springer View Publication Latent Variables, Topographic Mappings and Data Visualization Christopher Bishop Proceedings IX Italian Workshop on Neural Networks, Vietri sur Mare, Salerno | January 1997 Published by Springer-Verlag View Publication Magnification factors for the GTM algorithm Christopher Bishop , Markus Svensn, Christopher K. I. Williams Proceedings IEE Fifth International Conference on Artificial Neural Networks, Cambridge, U.K. | January 1997 View Publication Modelling Conditional Probability Densities for Periodic Variables Christopher Bishop , Ian T. Nabney in Mathematics of Neural Networks: Models, Algorithms and Applications Mathematics of Neural Networks: Models, Algorithms and Applications | Published by Kluwer Academic Press | 1997 | Mathematics of Neural Networks: Models, Algorithms and Applications edition View Publication Regression with Input-Dependent Noise: A Bayesian Treatment Christopher Bishop , Cazhaow S. Qazaz Advances in Neural Information Processing Systems | January 1997 Published by MIT Press View Publication An Upper Bound on the Bayesian Error Bars for Generalized Linear Regression Christopher Bishop in Ellacott, S. W. Mason, J. C. and Anderson, I. J. (Eds.), Mathematics of Neural Networks: Models, Algorithms and Applications Ellacott, S. W. Mason, J. C. and Anderson, I. J. (Eds.), Mathematics of Neural Networks: Models, Algorithms and Applications | Published by Kluwer | 1997 | Ellacott, S. W. Mason, J. C. and Anderson, I. J. (Eds.), Mathematics of Neural Networks: Models, Algorithms and Applications edition ISBN: 978-1-4615-6099-9 View Publication Neural Networks M. I. Jordan, Christopher Bishop in Tucker, A. B. (Ed.), The Computer Science and Engineering Handbook Tucker, A. B. (Ed.), The Computer Science and Engineering Handbook | Published by CRC Press | 1997 | Tucker, A. B. (Ed.), The Computer Science and Engineering Handbook edition View Publication Neural Networks Christopher Bishop in Bullock, A. and Trombley, S. (Eds.) Fontana Dictionary of Modern Thought (Third ed.) Bullock, A. and Trombley, S. (Eds.) Fontana Dictionary of Modern Thought (Third ed.) | Published by Fontana Press | 1997 | Bullock, A. and Trombley, S. (Eds.) Fontana Dictionary of Modern Thought (Third ed.) edition View Publication 1996 1996 EM optimization of latent variable density models Christopher Bishop , Markus Svensn, C. K. I. Williams Advances in Neural Information Processing Systems | January 1996 Published by MIT Press View Publication Modelling conditional probability distributions for periodic variables Christopher Bishop , I. T. Nabney Neural Computation | January 1996, Vol 8(5): pp. 1123-1133 View Publication Neural Networks: A Pattern Recognition Perspective Christopher Bishop in Handbook of Neural Computation Handbook of Neural Computation | Published by Oxford University Press and IOP Publishing | 1996 | Handbook of Neural Computation edition View Publication Neural Networks M. I. Jordan, Christopher Bishop in ACM Computing Surveys ACM Computing Surveys | 1996, Vol 28 | ACM Computing Surveys edition View Publication 1995 1995 Bayesian methods for neural networks Christopher Bishop NCRG/95/009 | January 1995 USENIX ICAC View Publication Estimating conditional probability densities for periodic variables Christopher Bishop , C. Legleye Advances in Neural Information Processing Systems | January 1995 Published by MIT Press View Publication On the relationship between Bayesian error bars and the input data density C. K. I. Williams, C. Qazaz, Christopher Bishop , H. Zhu Proceedings Fourth IEE International Conference on Artificial Neural Networks | January 1995 Published by IEE View Publication Real-time Control of a Tokamak Plasma Using Neural Networks Christopher Bishop , Paul S. Haynes, Mike E. U. Smith, Tom N. Todd, David L. Trotman Neural Computation | January 1995 View Publication Recent Progress in the Measurement and Analysis of ECE on JET D Bartlett, C Bishop, R Cahill, A McLachlan, L Porte, A Rookes, Christopher Bishop Proceedings of the 9th International Workshop on ECE and ECRH | January 1995 View Publication Regularization and Complexity Control in Feed-forward Networks Christopher Bishop Proceedings International Conference on Artificial Neural Networks ICANN'95 | January 1995 Published by EC2 et Cie  View Publication Training with noise is equivalent to Tikhonov regularization Christopher Bishop Neural Computation | January 1995, Vol 7(1): pp. 108-116 View Publication | View Publication Neural Networks for Pattern Recognition Christopher Bishop Published by Oxford University Press | January 1995 View Publication Real-time Control of a Tokamak Plasma using Neural Networks Christopher Bishop , Paul S. Haynes, Mike E.U. Smith, Tom N. Todd, David L. Trotman, Colin G. Windsor Advances in Neural Information Processing Systems | January 1995, Vol 7: pp. 1007-1014 View Publication Modelling Conditional Probability Distributions for Periodic Variables Christopher Bishop Proceedings Fourth IEE International Conference on Artificial Neural Networks, Cambridge, UK | January 1995 View Publication Multiphase Flow Monitoring in Oil Pipelines Christopher Bishop Chapter 6, in Murray, A. F. (Ed.), Applications of Neural Networks Murray, A. F. (Ed.), Applications of Neural Networks, 6 | Published by Kluwer | 1995 | Murray, A. F. (Ed.), Applications of Neural Networks edition View Publication 1994 1994 Neural Networks and Their Applications Christopher Bishop Review of Scientific Instruments | June 1994, Vol 65(6): pp. 1803-1832 View Publication An Investigation of Coupled Energy and Particle Transport in Tokamak Plasmas N. Deliyanakis, Christopher Bishop , J. W. Connor, M. Cox, D. C. Robinson Plasma Physics and Controlled Fusion | January 1994, Vol 36: pp. 1391-1406 View Publication Mixture Density Networks Christopher Bishop NCRG/94/004 | January 1994 View Publication Novelty Detection and Neural Network Validation Christopher Bishop IEE Proceedings: Vision, Image and Signal Processing. Special issue on applications of neural networks. | January 1994 View Publication Fast Feedback Control of a High Temperature Fusion Plasma Christopher Bishop Neural Computing and Applications | January 1994, Vol 2(3): pp. 148-159 View Publication 1993 1993 Neural Network Validation: an Illustration from the Monitoring of Multi-phase Flows C. M. Bishop, Christopher Bishop Proceedings IEE Conference on Artificial Neural Networks | May 1993 View Publication Automatic analysis of JET charge exchange recombination spectra using neural networks Christopher Bishop , C. M. Roach, M. G. von Hellermann Plasma Physics and Controlled Fusion | January 1993, Vol 35: pp. 765-773 View Publication Curvature-driven smoothing: a learning algorithm for feedforward networks Christopher Bishop IEEE Transactions on Neural Networks | January 1993, Vol 4: pp. 882-884 View Publication Analysis of Multiphase Flows Using Dual-energy Gamma Densitometry and Neural Networks Christopher Bishop Nuclear Instruments and Methods in Physics Research | January 1993, Vol A327: pp. 580-593 View Publication Reconstruction of Tokamak Density Profiles Using Feed-forward Networks Christopher Bishop , Iain Strachan, John O'Rourke, Geoff Maddison, Paul Thomas Neural Computing and Applications | January 1993, Vol 1(1): pp. 416 View Publication Novelty Detection and Neural Network Validation Christopher Bishop Gielen, S. and Kappen, B. (Eds.), Proceedings International Conference on Artificial Neural Networks ICANN'93 | January 1993 View Publication 1992 1992 Reconstruction of Tokamak Density Profiles Using Feed-forward Networks Christopher Bishop in Aleksander, I. and Taylor, J. G. (Eds.), Artificial Neural Networks, Proceedings ICANN'92, Brighton, U.K. Aleksander, I. and Taylor, J. G. (Eds.), Artificial Neural Networks, Proceedings ICANN'92, Brighton, U.K. | 1992, Vol 2 | Aleksander, I. and Taylor, J. G. (Eds.), Artificial Neural Networks, Proceedings ICANN'92, Brighton, U.K. edition View Publication Fast Curve Fitting Using Neural Networks Christopher Bishop Review of Scientific Instruments | June 1992 View Publication A Neural Network Approach to Tokamak Equilibrium Control Christopher Bishop , Peter Cox, Paul S. Haynes, Colin M. Roach, Mike E. U. Smith, Tom N. Todd, David L. Trotman in Neural Network Applications Neural Network Applications | Published by Springer | 1992 | Neural Network Applications edition View Publication Exact Calculation of the Hessian Matrix for the Multilayer Perceptron Christopher Bishop Neural Computation | January 1992, Vol 4: pp. 494-501 View Publication Hardware Implementation of a Neural Network for Plasma Position Control in Compass-D Christopher Bishop , P. S. Haynes, C. M. Roach, T. N. Todd, D. L. Trotman, M. E. U. Smith Proceedings of the 17th Symposium on Fusion Technology, Rome, Italy | January 1992 Published by Elsevier Science Publishers View Publication | View Publication Neural Network Approach to Energy Confinement Scaling in Tokamaks Leslie Alan, Christopher Bishop Plasma Physics and Controlled Fusion | January 1992, Vol 34: pp. 1291-1302 View Publication Curvature-driven Smoothing in Back-propagation Neural Networks Christopher Bishop in Taylor, J. G. and Mannion, C. L. T. (Eds.), Theory and Applications of Neural Networks Taylor, J. G. and Mannion, C. L. T. (Eds.), Theory and Applications of Neural Networks | Published by Springer | 1992 | Taylor, J. G. and Mannion, C. L. T. (Eds.), Theory and Applications of Neural Networks edition View Publication 1991 1991 A Fast Procedure for Retraining the Multilayer Perceptron C. M. Bishop, Christopher Bishop International Journal of Neural Systems | January 1991, pp. 229-236 View Publication Improving the Generalization Properties of Radial Basis Function Neural Networks Christopher Bishop Neural Computation | January 1991, Vol 3(4): pp. 579-588 View Publication On the Difficulty of Determining Tearing Mode Stability Christopher Bishop , J. W. Connor, R. J. Hastie, S. C. Cowley Plasma Physics | January 1991, Vol 33: pp. 389-395 View Publication A Fast Procedure for Retraining the Multilayer Perceptron Christopher Bishop International Journal of Neural Systems | January 1991, Vol 2(3): pp. 229-236 View Publication 1990 1990 Ballooning Delta-prime in the Second Stable Region Christopher Bishop Physics of Fluids | August 1990 View Publication Heat-Pulse Propagation in Tokamaks and the Role of Density Perturbations Christopher Bishop , J. W. Connor Plasma Physics | January 1990, Vol 32: pp. 203 View Publication Curvature-driven Smoothing in Back-propagation Neural Networks Christopher Bishop in Angeniol, B. and Widrow, B. (Eds.), International Neural Networks Conference, INNC'90 Angeniol, B. and Widrow, B. (Eds.), International Neural Networks Conference, INNC'90 | Published by IEEE | 1990, Vol 2 | Angeniol, B. and Widrow, B. (Eds.), International Neural Networks Conference, INNC'90 edition View Publication 1989 1989 Stability of Toroidicity Induced Drift Waves in Divertor Tokamaks S. Briguglio, Christopher Bishop , J. W. Connor, R. J. Hastie, F. Romanelli Physics of Fluids B: Plasma Physics | July 1989, Vol 1(7): pp. 1449 View Publication Alpha Particle Induced Magnetoacoustic Instability in a Thermonuclear Plasma Christopher Bishop , R. Fitzpatrick, R. J. Hastie, J. C. Jackson Plasma Physics | January 1989, Vol 31: pp. 431 View Publication An Intelligent Shell for the Toroidal Pinch C. M. Bishop, Christopher Bishop Plasma Physics | January 1989, Vol 31: pp. 1179 View Publication 1987 1987 Resistive Ballooning Modes and the Second Region of Stability A. Sykes, Christopher Bishop , R. J. Hastie Plasma Physics | January 1987, Vol 29: pp. 719 View Publication 1986 1986 Stability of Localised MHD Modes in Divertor Tokamaks a picture of the H-mode Christopher Bishop Nuclear Fusion | January 1986, Vol 26: pp. 1063 View Publication Degenerate Toroidal Magnetohydrodynamic Equilibria and Minimum B Christopher Bishop , J. B. Taylor Physics of Fluids | January 1986, Vol 29: pp. 1444 View Publication Micro-instability Based Models for Confinement Properties and Ignition Criteria in Tokamaks Christopher Bishop | January 1986 Principles of Programming Languages (POPL '08) View Publication Bifurcated Temperature Profiles and the H-mode Christopher Bishop Nuclear Fusion | January 1986, Vol 27: pp. 1765 View Publication 1985 1985 Stability of Anisotropic Pressure Tokamak Equilibria to Ideal Ballooning Modes Christopher Bishop , R.J. Hastie Nuclear Fusion | January 1985 View Publication 1984 1984 Ideal MHD Ballooning Stability in the Vicinity of a Separatrix Christopher Bishop , P. Kirby, J. W. Connor, R. J. Hastie, J. B. Taylor Nuclear Fusion | January 1984, Vol 24(12): pp. 1579 View Publication 1983 1983 Topological Charge Distribution in SU(N) Gauge Theories Christopher Bishop , P. V. D. Swift Physics Letters | January 1983, Vol 129: pp. 198 View Publication Videos Link description Keynote Talk: Model Based Machine Learning Date January 25, 2018 Speakers Christopher Bishop Affiliation Microsoft Research Link description Keynote: Model-Based Machine Learning Date July 18, 2017 Speakers Christopher Bishop Affiliation Microsoft Link description Fireside Chat with Harry Shum Date July 17, 2017 Speakers Sandy Blyth, Harry Shum, Christopher Bishop Affiliation Microsoft Link description Panel: Progress in AI: Myths, Realities, and Aspirations Date July 10, 2015 Speakers Christopher Bishop, Eric Horvitz, Fei Fei Li, Josh Tenenbaum, Michael L. Littman, and Oren Etzioni Affiliation Microsoft Research, Allen Institute for Artificial Intelligence, Stanford University, Brown University, Massachusetts Institute of Technology Link description Machine teaching brings machine learning to the masses Date July 10, 2015 Link description Panel Discussion: How to do good research and have a successful career in Research Date February 13, 2015 Speakers Jennifer Chayes, P. Anandan, Rico Malvar, Sriram Rajamani, Christopher Bishop, and Victor Bahl Affiliation Microsoft Link description Q and A Session 1 Date February 13, 2015 Speakers Jennifer Chayes, P. Anandan, Rico Malvar, Sriram Rajamani, Christopher Bishop, Victor Bahl, Raj Reddy, Ed Lazowska, and Chandu Thekkath Affiliation Microsoft, Carnegie Mellon University, University of Washington Link description Think Computer Science 2014: Great Ideas of Computer Science Date January 6, 2015 Link description Computing with Uncertainty Date September 26, 2013 Speakers Christopher Bishop Affiliation MSRC Link description Graphical Models Part 3 Date August 26, 2013 Speakers Christopher Bishop Link description Graphical Models Part 2 Date August 26, 2013 Speakers Christopher Bishop Link description Graphical Models Part 1 Date August 26, 2013 Speakers Christopher Bishop Link description Q&A with Christopher Bishop Date April 23, 2013 Speakers Chris Bishop Affiliation Microsoft Link description Introducing the Machine Learning Summit Date March 7, 2013 Speakers Chris Bishop and Chris Cashman Link description Machine Learning in the Big Data Era Date November 15, 2012 Speakers John Bronskill Link description Machine Learning Class (Session #17) Date October 5, 2012 Speakers Christopher Bishop Affiliation MSRC Link description Embracing Uncertainty Date December 7, 2010 Affiliation Microsoft Research Cambridge Link description TechVista 2010 Chris Bishop Date February 2, 2010 Speakers Chris Bishop Downloads Microsoft Research Cambridge Object Recognition Image Database May 2005 The Microsoft Research Cambridge Object Recognition Image Database contains a set of images (digital photographs) grouped into categories. Its intended use is research, in particular object recognition research. Size: 187 MB Click the icon to access this download Website for Microsoft Research Cambridge Object Recognition Image Database Other Pattern Recognition and Machine Learning This leading textbook provides a comprehensive introduction to the fields of pattern recognition and machine learning. It is aimed at advanced undergraduates or first-year PhD students, as well as researchers and practitioners. No previous knowledge of pattern recognition or machine learning concepts is assumed. This is the first machine learning textbook to include a comprehensive coverage of recent developments such as probabilistic graphical models and deterministic inference methods, and to emphasize a modern Bayesian perspective. It is suitable for courses on machine learning, statistics, computer science, signal processing, computer vision, data mining, and bioinformatics. This hard cover book has 738 pages in full colour, and there are 431 graded exercises (with solutions available below). Extensive support is provided for course instructors. To view inside this book go to Amazon . Available from Springer Amazon USA Amazon UK Amazon France Support for course tutors Support for course tutors A complete set of solutions to all exercises, including non-WWW exercises is available to course tutors from Springer . Slides for Chapter 1 (Introduction) in PDF , PowerPoint , and PowerPoint 2007 formats. Slides for Chapter 2 (Probability Distributions) in PDF , PowerPoint , and PowerPoint 2007 formats. Slides for Chapter 3 (Linear Models for Regression) in PDF , PowerPoint , and PowerPoint 2007 Slides for Chapter 8 (Graphical Models) in PDF , PowerPoint , and PowerPoint 2007 formats. Downloads Downloads Contents list and sample chapter (Chapter 8: Graphical Models) in PDF format. Solutions manual for the www exercises in PDF format (version: 8 September, 2009). Complete set of Figures in JPEG, PNG, PDF and EPS formats, see below. A PDF file of errata. There are three versions of this. To determine which one to download, look at the bottom of the page opposite the dedication photograph in your copy of the book. If it says corrected 2009 then download Version 3 . If it says corrected 2007 then download Version 2 . Otherwise download Version 1 . The book has been translated into Japanese in two volumes. Volume 1 contains chapters 1-5 plus the appendices, while Volume 2 contains chapters 6-14. Support for the Japanese edition is available from here . A third party Matlab implementation of many of the algorithms in the book. Ive not tried this myself and cannot comment on the quality. Figures Figures Below areall of the figures from Pattern Recognition and Machine Learning (except for the photographs in Figures 4.8 and A.4). Copyright in these figures is owned by Christopher M. Bishop. Permission is hereby given to download and reproduce the figures for non-commercial purposes including education and research, provided the source of the figures is acknowledged. I am very grateful to Markus Svensn who has prepared these figures. The figures are available in JPG, PNG, PDF and EPS formats. Please note that many of the EPS figures have been created using MetaPost, which give them special properties, as described below. All figures are available in single zipped folders, one for each format. The EPS figures Many of the EPS figures have been created using MetaPost. These figures, which are marked (MP) in the table below, are suitable for inclusion in LaTeX documents that are ultimately rendered as postscript documents (or PDF documents produced from postscript, e.g., using Ghostscript or Acrobat Distiller). However, they are not suitable for inclusion in other types of documents, nor can they be viewed on screen using postscript screen viewers such as Ghostview; this usually also affects DVI screen viewers. Almost all other EPS figures have been produced using Matlab. Several of these contains LaTeX fonts and this confuses postscript screen viewers such as Ghostview, to which the EPS figure appears to be missing its bounding box. However, these figures will still display on screen and the bounding box will be picked up correctly when these figures are used in LaTeX. Jpg 14Mb Png 12Mb Pdf 6Mb Eps 23Mb Follow us: Follow on Twitter Like on Facebook Subscribe on Youtube Follow on Instagram Subscribe to our RSS feed Share this page: Share on Twitter Share on Facebook Share on LinkedIn Share on Reddit What's new NEW Surface Pro 6 NEW Surface Laptop 2 NEW Surface Go Xbox One X Xbox One S VR & mixed reality Windows 10 apps Office apps Store & Support Account profile Download Center Sales & support Returns Order tracking Store locations Support Buy online, pick up in store Education Microsoft in education Office for students Office 365 for schools Deals for students & parents Microsoft Azure in education Enterprise Microsoft Azure Enterprise Data platform Find a solution provider Microsoft partner resources Microsoft AppSource Manufacturing & resources Financial services Developer Microsoft Visual Studio Windows Dev Center Developer Network TechNet Microsoft developer program Channel 9 Office Dev Center Microsoft Garage Company Careers About Microsoft Company news Privacy at Microsoft Investors Diversity and inclusion Accessibility Security Sitemap Contact Microsoft Privacy & cookies Terms of use Trademarks Safety & eco About our ads Microsoft 2019 diff --git a/src/data/compiled_bios/5354.txt b/src/data/compiled_bios/5354.txt new file mode 100644 index 0000000000..967837c700 --- /dev/null +++ b/src/data/compiled_bios/5354.txt @@ -0,0 +1 @@ + Julian Bradfield Email: jcb@inf.ed.ac.uk not jcb GnuPG public key (for routine matters)) Phone: +44 131 650 5998 Informatics Forum 10 Crichton St EDINBURGH EH8 9AB United Kingdom My office is IF 4.07. I am Reader in Computer Science here at the University of Edinburgh. My first degree was in Mathematics, from Cambridge (B.A. 1985, M.A. 1988), and after doing the conversion Diploma in Computer Science, I came to Edinburgh for my Ph.D. (awarded 1991). After completing this, I was a postdoc for a couple of years, and since 1992 I've been on the teaching staff. From 1997 to 2002, I was an EPSRC Advanced Research Fellow. Absences UoE users can see my schedule of planned absences . Research If you're interested in my research, please go to my research page . I am interested in supervising Ph.D. study in any of several areas: concurrency, modal and temporal logics, applications of set theory to computer science, application of concurrency to phonology. If you're interested in any of these, contact me, and see the Informatics Postgraduate pages for information about our postgraduate programme and the application procedure. Undergraduate Internships: The School no longer runs any undergraduate intern programme. Undergraduate/M.Sc. Teaching In 2018-19, I'm on sabbatical. Postgraduate/research courses The materials for the ESSLLI2012 course on Formal and Computational Approaches to Phonology are here: ESSLLI2012 . Administration On sabbatical. CSL'02 If you're looking for archived information on CSL'02, the CSL'02 home page is still available. TolkLang If you're looking for the TolkLang archive, please go to the TolkLang home page . Mah-Jong If you're looking for my Mah-Jong programs, please go to my personal site . Software The various bits of software I've written (and let loose) over the years are here . Printed Manuals We all use lots of software, for making presentations if nothing else. Some of it is so complex that the manuals are huge, and a challenge to read on screen. So sometimes I just want hard-copy. The manuals are mostly too big to print at the office, and who wants to manually bind a 400-page manual? But now in these days of print-on-demand, it's relatively straightforward to turn any manual into a decent quality and cheap book. So now I do this with manuals I would once have printed. Having made the once-off effort, anybody else can then order the books too, so why not make them available? If you want to look at my list of manuals, go to my manuals page. diff --git a/src/data/compiled_bios/5355.txt b/src/data/compiled_bios/5355.txt new file mode 100644 index 0000000000..8606edaa93 --- /dev/null +++ b/src/data/compiled_bios/5355.txt @@ -0,0 +1 @@ + ALAN BUNDY School of Informatics, University of Edinburgh This website is primarily designed to be viewed with a browser that supports frames. However by using the back button along with the links above to further menus you will be able to see the whole site. The menus will appear in this window and their content in a popup window. website by AlanBundy Hello! SchoolofInformatics, University of Edinburgh Contact diff --git a/src/data/compiled_bios/5356.txt b/src/data/compiled_bios/5356.txt new file mode 100644 index 0000000000..0a8f22673c --- /dev/null +++ b/src/data/compiled_bios/5356.txt @@ -0,0 +1 @@ + Peter Buneman LFCS , School of Informatics Crichton Street Edinburgh EH8 9LE Tel: +44 131 650 5133 Fax: +44 131 651 3815 Email : I work in the Database Group in the Laboratory for Foundations of Computer Science . I am also involved with the Digital Curation Centre . Here is a CV and a list of publications (including links to scans of old papers on mathematical phylogeny) Information on the Database Systems course is to be found here . I'm not easy to find, but some clever people at CMU have figured out how to find me in polynomial time . I can also be found somewhere near here doing things like this with people like this Before coming to Edinburgh, I spent many happy years in the Database Group of the Department of Computer and Information Science at the University of Pennsylania diff --git a/src/data/compiled_bios/5357.txt b/src/data/compiled_bios/5357.txt new file mode 100644 index 0000000000..518bdf9a7f --- /dev/null +++ b/src/data/compiled_bios/5357.txt @@ -0,0 +1 @@ + University Homepage School Homepage School Contacts School Search Yang Cao Position Chancellor's Fellow in Digital Technologies Roles Member of Laboratory for Foundations of Computer Science Chancellor's Fellow 2018 of Informatics Project supervision of Honours Project Project supervision of MSc Dissertation Email Address Office,Telephone BC-3.10,+44 (0) 131 651 3835 Publications - Edinburgh Research Explorer Home : People Informatics Forum, 10 Crichton Street, Edinburgh, EH8 9AB, Scotland, UK Tel: +44 131 651 5661, Fax: +44 131 651 1426, E-mail: school-office@inf.ed.ac.uk Database generated page, please contact us with any comments or corrections. Logging and Cookies Unless explicitly stated otherwise, all material is copyright The University of Edinburgh diff --git a/src/data/compiled_bios/5358.txt b/src/data/compiled_bios/5358.txt new file mode 100644 index 0000000000..4b5c137760 --- /dev/null +++ b/src/data/compiled_bios/5358.txt @@ -0,0 +1 @@ + James Cheney Reader University of Edinburgh Home Publications Presentations Programs Who I am I am a Reader in the Laboratory for Foundations of Computer Science , University of Edinburgh , working in the areas of databases and programming languages . I am also a member of the Security and Privacy group in Informatics . I lead the Principles of Provenance group. From September 2018 I am a Turing Fellow and I am also visiting King's College, London frequently during my ERC grant. From October 2008 until December 2015 I held a Royal Society University Research Fellowship . From September 2004 until October 2008 I was a postdoctoral research associate in the Database Group . I have also been involved with the Digital Curation Centre and during 2008-2009 I organized a Theme Program on Principles of Provenance for the eScience Institute . I earned my PhD in Computer Science at Cornell University in August 2004. From January to May 2003 I visited Cambridge University 's Computer Laboratory . In the summer of 2001 I worked at Intertrust on a summer internship. I have a BS in Computer Science and Mathematics (May 1998) and MS in Mathematics (August 1998) from Carnegie Mellon University . Before that I lived in Wisconsin , land of cheese . I maintain a research blog , which is updated sporadically. My CV PhD opportunities: Right now I am not looking for new students, but the following links are relevant if you are interested in PhD study in PL in Edinburgh. PhD study Data Science Ph.D. programme Pervasive Parallelism Ph.D. programme Teaching Fall 2015-17: Elements of Programming Languages Spring 2014: Distributed Systems Spring 2013: Querying and Storing XML Fall 2009, 2010, 2011, 2014: Logic Programming Fall 2006: Database Theory Postgraduate Course Fall 2005: Database Theory Postgraduate Course Research My research interests include: Databases and data provenance Programming languages and compilers Generic programming Logic and automated theorem proving Compression and information theory XML and related technologies Current research team Please see my research group page . Current projects Skye: A programming language bridging theory and practice for scientific data curation , funded by an ERC Consolidator Grant (2016-2021) Declarative Programming for Data Science , studentship in the Edinburgh Centre for Doctoral Training in Data Science, co-funded by LogicBlox, Inc. A Diagnostics Approach to Advanced Persistent Threat Prevention (ADAPT), in collaboration with Galois, Inc., Xerox PARC, and Oregon State University, funded by DARPA's Transparent Computing research program (2015-2019) Foundations of Language-Integrated Query , including work on language-integrated provenance funded by a Google Research Award Provenance for configuration language security (Microsoft Research), in collaboration with Paul Anderson (Edinburgh) and Dimitrios Vytiniotis (MSR) Past projects A Theory of Least Change for Bidirectional Transformations (EPSRC), in collaboration with Perdita Stevens, and James McKinna (Edinburgh) and Jeremy Gibbons (Oxford) (2013-2016) Language-based provenance security (AFOSR EOARD, 2013-2018) Mechanized metatheory using Nominal Logic Programming ( AlphaProlog ), funded by the Royal Society (2008-2016) DIACHRON: Provenance and archiving for Linked Data (EU FP7) XML update languages, static analysis, and typechecking (in collaboration with Michael Benedikt, Oxford) I was a member of the W3C Provenance Interchange Working Group . I helped present a recent tutorial on this at EDBT 2013 ( paper ), together with Paolo Missier and Khalid Belhajjame. Formalizations of XQuery , LF , simple nominal type theory , and adequacy for higher-order abstract syntax using the nominal datatype package , joint with Christian Urban and Stefan Berghofer The Database Wiki system (funded by Google Research Awards and University of Edinburgh support). Professional Activities I am on sabbatical in 2018 and limiting my professional service during this period. BX 2019 (PC co-chair) more... Contact information E-mail: jcheney at inf dot ed dot ac dot uk Phone: 07891 708 737 (M) 0131 651 5658 (O) Address: Informatics Forum 5.29 Laboratory for Foundations of Computer Science School of Informatics 10 Crichton Street Edinburgh EH8 9AB Scotland, UK Modified 2018-09-18 10:56:44 jcheney diff --git a/src/data/compiled_bios/5359.txt b/src/data/compiled_bios/5359.txt new file mode 100644 index 0000000000..a1a445b886 --- /dev/null +++ b/src/data/compiled_bios/5359.txt @@ -0,0 +1 @@ + Shay Cohen Lecturer Institute for Language, Cognition and Computation School of Informatics University of Edinburgh Prospective students who might be interested in working with me: please see the note here . About me My broad interests are in the intersection of computational linguistics and statistical learning. I am most interested in predicting structure from text. Such structure underlies natural language at all its levels, from discourse, through semantics to syntax. My current interests, all interacting at some level are: (1) the use of linear algebra for learning statistical models, especially those with hidden variables that are not observed in the data; (2) semantic representations, especially abstract meaning representation, and their applications such as document summarization. In my work I use various statistical learning algorithms and language formalisms, including neural networks, spectral methods, probabilistic grammars and others. Click here for a bio. A demo of our XSum abstractive summarization system from EMNLP 2018 is available here . A demo of our reinforcement learning extractive summarization system from NAACL 2018 is available here . Our work on crime drama in the news: BBC , New Scientist , Scottish Legal , The Register , The Telegraph , Daily Mail , The Scotsman , Scottish Daily Mail , Digital Trends . We released the Rainbow Parser, a parser with spectral learning algorithms (and EM) for latent-variable PCFGs. It is on github . The slides from my Mathematics of Language 2017 talk are available here . A new book about Bayesian Analysis in Natural Language Processing is out ( website , hardcopy on Amazon ). Marco has developed a new AMR parser called AMREager and a new set of evaluation metrics for AMR . Publications Click here for a list Teaching Processing Formal and Natural Languages (INF2A). Course website (Autumn 2018; Autumn 2017; Autumn 2015). Topics in Natural Language Processing (INFR11113). Course website (Spring 2017). See also below. Lecture on linear classification at the Lisbon Machine Learning School (LxMLS) , July 2015. Topics in Natural Language Processing (INFR11113). Course website for 2016 (Spring 2015; Spring 2016). Course on PATH . Click here for a synopsis. Natural language processing is an application area in computer science, heavily supported by the industry with new applications emerging on a constant basis. The goal of this course is to give a different angle and look into natural language processing. We will explore basic concepts in computer science, machine learning, and statistics that make natural language processing such a rich area of research. You will learn how to use generic methods for application to specific problems you need to address in order to make use of natural language. As such, we will take a method-oriented view of NLP instead of an application-oriented one. Topics we will discuss include: basic probability and statistics used in NLP, structured prediction with log-linear models, Bayesian inference, finite state transducers, context-free grammars and other constructs, latent-variable modeling, basic concepts in learning theory. Hopefully, after taking the class, when using a generic NLP tool such as a part-of-speech tagger or a syntactic parser, you will be able to hypothesize how the tool generally works under the hood and why. This class can also assist you later in research in natural language processing, should you choose to pursue a PhD degree in the area. A tutorial about Spectral learning algorithms for NLP (NAACL, 2013). Similar tutorial with overlapping material at CMU (June, 2014). Seminar at Columbia - Bayesian analysis for NLP (Spring, 2013). A course at IBM about Probability and Structure in NLP (May, 2011). Students and Post-docs Maximin Coavoux (postdoc, 2018-) Matthieu Labeau (postdoc, 2018-) Shashi Narayan (postdoc, 2014-) Esma Balkr (PhD student, 2016-) Marco Damonte (PhD student, 2015-) Jiangming Liu (PhD student, 2017-; co-advised with Mirella Lapata) Nikos Papasarantopoulos (PhD student, 2016-) Joana Ribeiro (MPhil student, 2015-) John Torr (PhD student, 2015-; co-advised with Mark Steedman) Here is a group picture from summer 2018. Here is an older picture from summer 2017. Here is an older picture from summer 2016. Here is an even older picture from summer 2015. Here is a link to our group page that includes code, project and demo pages. Events Workshop about representation learning in NLP at ACL 2017 ( workshop's website ). Workshop about representation learning in NLP at ACL 2016 ( workshop's website ). Workshop about vector space modelling in NLP at NAACL 2015 ( workshop's website with post-workshop materials and pictures ). Code and Data L-PCFG models from our ACL 2016 paper about multilingual parsing with spectral estimation. CTREES - data from our EMNLP 2015 paper about conversation trees. Recipe data from our NAACL 2015 paper about event ordering in cooking recipes. dageem - code for unsupervised grammar induction using logistic normal prior. Link on github.com . Download zip . New version (1.01) is out on August 19, 2014. Contact information scohen [strudel] inf.ed.ac.uk 10 Crichton Street Informatics Forum 4.26 Edinburgh EH8 9AB United Kingdom Phone: +44 (0) 131 650 6542 diff --git a/src/data/compiled_bios/536.txt b/src/data/compiled_bios/536.txt new file mode 100644 index 0000000000..250016185a --- /dev/null +++ b/src/data/compiled_bios/536.txt @@ -0,0 +1 @@ +Madhur Tulsiani Assistant Professor, Director of Graduate StudiesToyota Technological Institute Assistant Professor, Part-TimeDepartment of Computer Science Email: madhurt@cs.uchicago.edu Phone: (773)702-6614 Office: TTIC Website: http://ttic.uchicago.edu/~madhurt/ diff --git a/src/data/compiled_bios/5360.txt b/src/data/compiled_bios/5360.txt new file mode 100644 index 0000000000..136eb03a0a --- /dev/null +++ b/src/data/compiled_bios/5360.txt @@ -0,0 +1 @@ + Murray Cole's home page Murray Cole Professor Email: mic ----> inf.ed.ac.uk Phone: +44 (0)131 650 5154 Room 1.18 Informatics Forum, 10 Crichton Street Edinburgh, EH8 9AB Research My research interests are in parallel programming models, emphasising approaches which exploit skeletons to package and optimize well known patterns of computation and interaction as parallel programming abstractions. Within the Institute for Computing Systems Architecture (ICSA), I work with the Structured Parallelism Group and the Compiler and Architecture Design Group . I am Co-Director of the Centre for Doctoral Training in Pervasive Parallelism . I am Edinburgh PI on the EPSRC funded "Discovery" project, investigating "Pattern Discovery and Program Shaping for Heterogeneous Manycore Systems", in collaboration with the University of St Andrews. I was previously Director of ICSA, a member of the the Steering Committee of NAIS, the Centre for Numerical Algorithms and Intelligent Software , and hosted the NAIS Workshop on Skeletons, Heterogeneous Systems and Domain Specific Optimization . Previous projects include eSkel and Enhance . Publications PhD Opportunities I welcome applications to work with me on the skeletal approach to parallel programming. Many parallel programs can be expressed as instances of more generic patterns of parallelism, such as pipelines, stencils, wavefronts and divide-and-conquer. In our work we call these patterns skeletons . Providing a skeleton API simplifies programming: the programmer only has to write code which customizes selected skeletons to the application. This also makes the resulting programs more performance portable: the compiler and/or run-time can exploit structural information provided by the skeleton to choose the best implementation strategy for a range of underlying architectures, from GPU, through manycore, and on to large heterogeneous clusters. Opportunities for research in this area include the full integration of skeletons into the language and compilation process, dynamic optimization of skeletons for diverse heterogeneous systems, the extension of skeleton approaches to applications which are not quite skeleton instances, the automatic discovery of new (and old) skeletons in existing applications, and the design and implementation of skeleton languages in domain-specific contexts. Teaching Pervasive Parallelism Parallel Programming Languages and Systems MSc by Research Thesis (Pervasive Parallelism) diff --git a/src/data/compiled_bios/5361.txt b/src/data/compiled_bios/5361.txt new file mode 100644 index 0000000000..72abd24876 --- /dev/null +++ b/src/data/compiled_bios/5361.txt @@ -0,0 +1 @@ + Aurora Constantin Search this site About me Research Publications Teaching Bio Teaching Working Papers About me About me Contact Details Email: aurora.constantin@ed.ac.uk Phone: +44 (0) 131 651 5643 Address: 10 Crichton Street Informatics Forum, 5.22 University of Edinburgh Edinburgh, EH8 9AB I am a University Teacher and a researcher at the University of Edinburgh, School of Informatics . My main research interests are in: Human-Computer Interaction, Educational Technology, Digital Learning, Multimodal Interaction, Assistive Technologies, Technology for Autism. Qualifications 2015 PhD in Informatics, University ofEdinburgh, UK 2009 MSC in IT, University of Glasgow, UK 2000 PhD in Physics, University of Craiova, Romania 1986 BSc in Physics, University of Craiova, Romania My CV can be found here . Membership 2018 - 2020: Senate of the University of Edinburgh , member 2018 - present: Equality and Diversity Committee , research staff representative 2017 -present: Cross-Part Group on Disability Scottish Parliament Personal In my free time I like to paint. I had several group exhibitions and one personal exhibition. Here are some of my works. I am an avid reader. While working in Bath (Nov 2014 - Dec 2016) I was an active member of a reading group. One of the recent novels I read is "The improbability of love" by Hannah Rothschild. I love music, especially classical music. In Scotland I discovered my passion for celtic music. Here is my favourite celtic song . For more information visit the IDB Research Department website. Sign in | Recent Site Activity | Report Abuse | Print Page | Powered By Google Sites diff --git a/src/data/compiled_bios/5362.txt b/src/data/compiled_bios/5362.txt new file mode 100644 index 0000000000..7efd87972f --- /dev/null +++ b/src/data/compiled_bios/5362.txt @@ -0,0 +1 @@ + Mary Cryan Lab for Foundations of Computer Science School of Informatics Informatics Forum University of Edinburgh Edinburgh EH8 9AB Scotland, UK Office: 5.18, Informatics Forum mcryan AT inf DOT ed DOT ac DOT uk +44-131-650-5153 (phone) +44-131-651-1426 (fax) Personal Tutees, please click here to see my personal tutee schedule for September 2018 and then email me to book an appointment, giving at least two options. Scottish Combinatorics Meeting We will be hosting the 5th Scottish Combinatorics Meeting in Edinburgh on the 25th and 26th April of 2019. Research Interests Algorithms, especially Algorithms for counting and sampling; Random Structures; Learning theory; Pseudorandom generators. Research papers here . Teaching I am (co)lecturing "Informatics 2A - Formal and Natural Languages" this semester (Autumn 2018). I wll be teaching "Randomness and Computation" next semester (Spring 2019). Admin For academic year 2018/19 I am overall Course Organiser for the 4th year Honours programmes within Informatics. I am also Deputy Director and PhD Selector for the Lab for the Foundations of Computer Science . I will be the Informatics "academic lead" for the Data Science apprenticeships and new degree programmes in 2018/19. PhD students Veselin Blagoev (autumn 2015 -> ) Pid Creed, Counting and Sampling problems on Eulerian graphs (2010). Now working on "Deep Learning" as an Industry Scientist in London. James Matthews (co-supervisor), Markov chains for sampling matchings (2008). Now working in Industry in Edinburgh. Biography I am originally from Dublin, and I did my undergraduate degree at University College Dublin , graduating with a BSc in Computer Science and Mathematics in 1993. I returned to UCD for the 1994-1995 academic year to do an MSc by research in Computer Science, supervised by Allan Ramsay . After that I spent four years at the University of Warwick doing research for my PhD. At Warwick I was a member of the Algorithms and Computational Complexity Group , working with Leslie Ann Goldberg . Between September 1999 and August 2001 I was a postdoc at the Center for Basic Research in Computer Science (BRICS) at the University of Aarhus in Denmark. Between September 2001 and May 2003 I was a postdoc with the Algorithms and Complexity Group of the University of Leeds, working on randomized algorithms with Martin Dyer . Since July 2003 I have been a lecturer in Informatics at Edinburgh. email: mcryan AT inf DOT ed DOT ac DOT uk diff --git a/src/data/compiled_bios/5363.txt b/src/data/compiled_bios/5363.txt new file mode 100644 index 0000000000..9449717be7 --- /dev/null +++ b/src/data/compiled_bios/5363.txt @@ -0,0 +1 @@ +Vincent Danos - Edinburgh homepage I am Directeur de Recherches at CNRS, at Departement d'Informatique of ENS, Chair of Computational Systems Biology at the University of Edinburgh (on sabbatical), and a member of the Board of the Centre de Recherches Interdisciplinaires (CRI) in Paris . I was: Director of Synthsys the Centre for Synthetic and Systems Biology at Edinburgh in 2012-2013; external faculty member of the Santa Fe Institute (2007-2009), and visiting Professor at the Harvard Medical School (2006-2009) at the Fontana lab. I work on clean and scaleable domain-specific modeling/programming languages, mostly, but not only, for systems and synthetic biology. I have a research interest in cross-disciplinary activities and convergence on algorithmic/mathematical structures for modelling (social systems, economical systems, climate, multi-scale plant growth, etc). Current research projects I am involved in: 2015-2019: SBRC centre for mammalian synthetic biology at SynthSys 2014-2018: Big Mechanism programme (DARPA): Executable Knowledge (consultant). 2013-2018: ERC Advanced Fellowship (FP7): Rule-based modelling 2012-2015: EPSRC Flowers Consortium: Platform for Synthetic Biology Various academic activities since 2002 (Keynotes, invitations, courses, PCs). Former PhD students: - John Wilson-Kanamori - Ricardo Honorato-Zimmer - Milana Filatenkova Current PhD students: - Guoli Yang - Matthias Sachs (with Ben Leimkuhler, School of Mathematics) About Kappa The Kappa modelling approach, which I co-invented, was featured twice in Nature in 2009, and hailed as one of the future "mainstream components of modern quantitative biology" in a 2011 paper in Nature Methods. The Edinburgh entry to the prestigious international iGEM synthetic biology competition used Kappa as a modelling language and was twice awarded the Best Model Prize (2010, 2011). The 2014-2018 DARPA "Big Mechanism" programme on cancer biology has incorpororated Kappa in a list of only three target formalisms (together with the standard SBML and SRI's Pathway Logic). Here is a short intro to rule-based modelling: Agile modelling of cellular signalling (SOS'08) A longer one: Rule-based modelling of cellular signalling (CONCUR'07) Our modelling language has various open-source implementations diff --git a/src/data/compiled_bios/5364.txt b/src/data/compiled_bios/5364.txt new file mode 100644 index 0000000000..f2ef934f40 --- /dev/null +++ b/src/data/compiled_bios/5364.txt @@ -0,0 +1 @@ + I'm Christophe Dubach, a Reader (Associate Professor) at the University of Edinburgh. I'm part of the CArD group in the school of informatics. My research interests include data-prallel language design and implementation, high-level code generation and optimisation for parallel hardware (e.g. GPU, FPGAs), architecture design space exploration, and the use of machine-learning techniques applied to all these topics. News PhD studentships available for UK/European students through the EPSRC Center for Doctoral Training in Pervasive Parallelism. If you are interested, please contact me with your CV, transcripts and a short description of your research interests. Research Team Postdoc Lu Li PhD Students Toomas Remmelg 2014- Paul-Jules Micolet 2014- Larisa Stoltzfus 2015- Federico Pizzuti 2016- Naums Mogers 2016- Andrej Ivanis 2018- Christophe Schlaak 2018- Former Members Michel Steuwer (Postdoc 2015-2017) Now Lecturer at Glasgow University Thibaut Lutz (Postdoc 2015) Now at Nvidia Juan Jose Fumero (PhD student 2013-2017) Now postdoc at Manchester University Alberto Magni (PhD student 2012-2015) Now at MSR Cambridge Erik Tomusk (PhD student 2012-2015) Now postdoc at University of Edinburgh Research Highlights High-Performance Code Generation for Parallel Processors using Functional Patterns Project supported by . ---> www.lift-project.org <--- Computing systems have become increasingly complex with the emergence of heterogeneous hardware combining multicore CPUs and GPUs. These parallel systems exhibit tremendous computational power at the cost of increased programming effort. This results in a tension between performance and code portability. This project investigates a novel approach aiming to combine high-level programming, code portability, and high-performance. Starting from a high-level functional expression we apply a simple set of rewrite rules to transform it into a low-level functional representation close to the OpenCL programming model and from which OpenCL code is generated. Our rewrite rules define a space of possible implementations which we automatically explore to generate hardware-specific OpenCL implementations. GPU-Acceleration for the Graal VM Project supported by . Michel Steuwer Juan Fumero Toomas Remmelg This project aims at automatically accelerating applications running on top of the Graal VM , an Open source Java VM. To achieve this goal we first define a high-level API inspired by functional programming and data-flow programming concepts. At runtime, our system recognises the calls to our API and automatically generate OpenCL kernels. The runtime then manages the execution of this OpenCL kernel on multiple devices (e.g. GPU) which results in the application being transparently accelerated. Design Space Exploration for Dynamically Reconfigurable Multicore Project supported by . Paul Micolet Dynamical reconfigurable multicore processors, such as the E2 architecture , offer the ability to merge simple cores into larger ones in order to increase performance. However, the problem of deciding how to aggregate these cores is non-trivial and is highly dependent on the application. In this project, we investigate the problem of mapping multi-threaded applications written in a data-flow language to this type of architecture. Design Space Exploration for Heterogeneous Multicore Project supported by . Erik Tomusk Single-ISA heterogeneous processors have the potential to maximise performance in power-constrained mobile devices by running each job on the best available CPU core given a power budget. This research project focuses on developing new techniques to select the best set of cores in order to maximise runtime flexibility in terms of power and performance. GPU Optimisation & Machine-Learning Project supported by . Alberto Magni Programming models such as OpenCL have been designed to achieve functional portability across multi-core devices from different vendors. However, the lack of a single cross-target optimizing compiler severely limits performance portability of OpenCL programs. Programmers need to manually tune applications for each specific device, preventing effective portability. In this project, we target a compiler transformations specific for data-parallel languages such as thread-coarsening. We address the problem of finding the best parameters that control these transformation in order to reach maximum performance. We propose a solution based on a machine-learning model that predicts the best optimisation parameters using static code features. The model automatically specializes to the different architectures considered. Teaching 2017-2018 UG3 Compiling Techniques 2016-2017 UG3 Compiling Techniques 2015-2016 UG3 Compiling Techniques 2014-2015 UG3 Compiling Techniques Committee Program committe member International Symposium on Code Generation and Optimization (CGO), 2015,2017,2019 International Conference on Compiler Construction (CC), 2015,2019 IEEE Internal Parallel and Distributed Processing Symposium (IPDPS), 2018 International Conference on Compilers, Architecture and Synthesis for Embedded Systems ( CASES ), 2016,2017,2018 Symposium on Principles and Practice of Parallel Programming (PPoPP), 2016,2018 International Workshop on Adaptive Self-tuning Computing Systems (ADAPT), co-located with HiPEAC, 2013, 2014, 2015 International Workshop on Accelerating Data Management Systems Using Modern Processor and Storage Architectures (ADMS), co-located with VLDB, 2011, 2012, 2013, 2014, 2015, 2016, 2017 Workshop on Interaction between Compilers and Computer Architectures (INTERACT), co-located with HPCA, 2012, 2011, co-located with ASLOS, 2010 International Conference on Parallel and Distributed Systems (ICPADS), Multicore Computing and Parallel/Distributed Architecture track, 2011, 2013 Symposium on High Level Languages for Parallel Computing on FPGAs (HLFPGA) , co-located with ParCo, 2015 Organising committee Program chair, ACM SIGPLAN / SIGBED Conference on Languages, Compilers, and Tools for Embedded Systems (LCTES), 2018 General chair, International Conference on Compiler Construction (CC), 2018 Program chair, High Performance Architectures and Compilers track, International European Conference on Parallel and Distributed Computing (EuroPar), 2017 Sponsor co-chair, International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2017 Finance chair, International Conference on Parallel Architectures and Compilation Techniques (PACT) 2016 Finance chair, International Symposium on Code Generation and Optimization (CGO) 2016 Workshop/Tutorial chair, International Symposium on Code Generation and Optimization (CGO) 2015 General co-chair, International Workshop on Adaptive Self-tuning Computing Systems (ADAPT), co-located with HiPEAC, 2013, 2014, 2015 Local chair, International Conference on Parallel Architectures and Compilation Techniques (PACT), 2013 Publications DLDB Google Scholar Group by Year Author Type Keyword Downloads Fold/Unfold All Download BibTeX RSS Feed generated by Excellent! Next, you can embed this page using one of several options . To the site owner: Action required! Mendeley is changing its API. In order to keep using Mendeley with BibBase past April 14th, you need to: renew the authorization for BibBase on Mendeley, and update the BibBase URL in your page the same way you did when you initially set up this page. Fix it now 2018 (4) Automatic Matching of Legacy Code to Heterogeneous APIs: An Idiomatic Approach. Philip Ginsbach; Toomas Remmelg; Michel Steuwer; Bruno Bodin; Christophe Dubach; and Michael FP O'Boyle. In Proceedings of the 23rd International Conference on Architectural Support for Programming Languages and Operating Systems , of ASPLOS , 2018. 17% acceptance rate (56/301), HiPEAC Paper Award bibtex @inproceedings{ginsbach18automatic, title = {Automatic Matching of Legacy Code to Heterogeneous APIs: An Idiomatic Approach}, author = {Philip Ginsbach and Toomas Remmelg and Michel Steuwer and Bruno Bodin and Christophe Dubach and Michael FP O'Boyle}, booktitle = asplos18, series = {ASPLOS}, year= {2018}, note = {17\% acceptance rate (56/301), HiPEAC Paper Award}, corerank = {A*}, keywords = {reviewed} } High performance stencil code generation with Lift. Bastian Hagedorn; Larisa Stoltzfus; Michel Steuwer; Sergei Gorlatch; and Christophe Dubach. In Proceedings of the 16th ACM/IEEE International Symposium on Code Generation and Optimization , of CGO , 2018. 29% acceptance rate (30/105), Best Paper Award bibtex @inproceedings{hagedorn18stencil, title = {High performance stencil code generation with Lift}, author = {Bastian Hagedorn and Larisa Stoltzfus and Michel Steuwer and Sergei Gorlatch and Christophe Dubach}, booktitle = cgo18, series = {CGO}, year= {2018}, note = {29\% acceptance rate (30/105), Best Paper Award}, corerank = {A}, keywords = {reviewed} } Bulk-synchronous parallel simultaneous BVH traversal for collision detection on GPUs. Floyd M Chitalu; Christophe Dubach; and Taku Komura. In Proceedings of the ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games , of i3D , 2018. 17% acceptance rate (12/70) bibtex @inproceedings{chitalu18bulk, title = {Bulk-synchronous parallel simultaneous BVH traversal for collision detection on GPUs}, author = {Floyd M Chitalu and Christophe Dubach and Taku Komura}, booktitle = i3d18, series = {i3D}, year= {2018}, note = {17\% acceptance rate (12/70)}, corerank = {B}, keywords = {reviewed} } A Modular Approach to Performance, Portability and Productivity for 3D Wave Models . Larisa Stoltzfus; Christophe Dubach; Michel Steuwer; Alan Gray; and Stephan Bilbao. In 7th International Workshop on Domain Specific Languages and High-level Frameworks for High Performance Computing , of WOLFHPC , 2018. bibtex @inproceedings{stoltzfus18modular, title = {A Modular Approach to Performance, Portability and Productivity for 3D Wave Models }, author = {Larisa Stoltzfus and Christophe Dubach and Michel Steuwer and Alan Gray and Stephan Bilbao}, booktitle = wolfhpc18, series = {WOLFHPC}, year= {2018}, keywords = {workshop} } 2017 (7) Strategy Preserving Compilation for Parallel Functional Code. Robert Atkey; Michel Steuwer; Sam Lindley; and Christophe Dubach. CoRR , abs/1710.08332. 2017. Paper bibtex @article{DBLP:journals/corr/abs-1710-08332, author = {Robert Atkey and Michel Steuwer and Sam Lindley and Christophe Dubach}, title = {Strategy Preserving Compilation for Parallel Functional Code}, journal = {CoRR}, volume = {abs/1710.08332}, year = {2017}, url = {http://arxiv.org/abs/1710.08332}, archivePrefix = {arXiv}, eprint = {1710.08332}, timestamp = {Thu, 02 Nov 2017 14:25:36 +0100}, biburl = {https://dblp.org/rec/bib/journals/corr/abs-1710-08332}, bibsource = {dblp computer science bibliography, https://dblp.org}, keywords = {nonreviewed} } A Study of Dynamic Phase Adaptation Using a Dynamic Multicore Processor. Paul-Jules Micolet; Aaron Smith; and Christophe Dubach. ACM Transactions on Embedded Computing Systems (Special Issue CASES 2017), ACM TECS , 16(5). 2017. 25% acceptance rate bibtex @article{micolet17study, title = {A Study of Dynamic Phase Adaptation Using a Dynamic Multicore Processor}, author = {Paul-Jules Micolet and Aaron Smith and Christophe Dubach}, journal = {ACM Transactions on Embedded Computing Systems (Special Issue CASES 2017), ACM TECS}, volume = {16}, number = {5}, year= {2017}, note={25\% acceptance rate}, corerank = {A}, keywords = {journal}, keywords = {reviewed} } Compiler-assisted test acceleration on gpus for embedded software. Vanya Yaneva; Ajitha Rajan; and Christophe Dubach. In Proceedings of the 26th ACM SIGSOFT International Symposium on Software Testing and Analysis , of ISSTA , 2017. 26% acceptance rate (31/118) bibtex @inproceedings{yaneva17testing, title = {Compiler-assisted test acceleration on gpus for embedded software}, author = {Vanya Yaneva and Ajitha Rajan and Christophe Dubach}, booktitle = issta17, series = {ISSTA}, year= {2017}, note = {26\% acceptance rate (31/118)}, corerank = {A}, keywords = {reviewed} } ParTeCL: parallel testing using OpenCL. Vanya Yaneva; Ajitha Rajan; and Christophe Dubach. In Proceedings of the 26th ACM SIGSOFT International Symposium on Software Testing and Analysis , of ISSTA-DEMOS , 2017. bibtex @inproceedings{yaneva17partecl, title = {ParTeCL: parallel testing using OpenCL}, author = {Vanya Yaneva and Ajitha Rajan and Christophe Dubach}, booktitle = issta17, series = {ISSTA-DEMOS}, year= {2017}, corerank = {A}, keywords = {reviewed} } Just-in-time gpu compilation for interpreted languages with partial evaluation. Juan Fumero; Muchel Steuwer; Lukas Stadler; and Christophe Dubach. In Proceedings of the 13th ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environments , of VEE , 2017. 42% acceptance rate (18/43) bibtex @inproceedings{fumero17jit, title = {Just-in-time gpu compilation for interpreted languages with partial evaluation}, author = {Juan Fumero and Muchel Steuwer and Lukas Stadler and Christophe Dubach}, booktitle = vee17, series = {VEE}, year= {2017}, note = {42\% acceptance rate (18/43)}, corerank = {A}, keywords = {reviewed} } Lift: A Functional Data-Parallel IR for High-Performance GPU Code Generation. Michel Steuwer; Toomas Remmelg; and Christophe Dubach. In Proceedings of the 15th ACM/IEEE International Symposium on Code Generation and Optimization , of CGO , 2017. 23% acceptance rate (26/111) bibtex @inproceedings{steuwer17liftir, title = {Lift: A Functional Data-Parallel IR for High-Performance GPU Code Generation}, author = {Michel Steuwer and Toomas Remmelg and Christophe Dubach}, booktitle = cgo17, series = {CGO}, year= {2017}, note = {23\% acceptance rate (26/111)}, corerank = {A}, keywords = {reviewed} } Performance Portability For Room Acoustics Simulations. Larisa Stoltzfus; Alan Gray; Christophe Dubach; and Stephan Bilbao. In Proceedings of the 20th International Conference on Digital Audio Effects , of dafx17 , 2017. bibtex @inproceedings{stoltzfus17accoustic, title = {Performance Portability For Room Acoustics Simulations}, author = {Larisa Stoltzfus and Alan Gray and Christophe Dubach and Stephan Bilbao}, booktitle = dafx17, series = {dafx17}, year = {2017}, corerank = {B}, keywords = {reviewed} } 2016 (6) Selecting Heterogeneous Cores for Diversity. Erik Tomusk; Christophe Dubach; and Michael O'boyle. ACM Transactions on Architecture and Code Optimization, ACM TACO , 13(4). 2016. bibtex @article{tomusk16selecting, title = {Selecting Heterogeneous Cores for Diversity}, author = {Erik Tomusk and Christophe Dubach and Michael O'boyle}, journal = {ACM Transactions on Architecture and Code Optimization, ACM TACO}, volume = {13}, number = {4}, year = 2016, corerank = {A}, keywords = {reviewed} } Matrix Multiplication Beyond Auto-Tuning: Rewrite-based GPU Code Generation. Michel Steuwer; Toomas Remmelg; and Christophe Dubach. In Proceedings of the 2016 International Conference on Compilers, Architecture and Synthesis for Embedded Systems , of CASES , 2016. 18% acceptance rate (14/91) bibtex @inproceedings{steuwer16matrix, title = {Matrix Multiplication Beyond Auto-Tuning: Rewrite-based GPU Code Generation}, author = {Michel Steuwer and Toomas Remmelg and Christophe Dubach}, booktitle = cases16, series = {CASES}, year= {2016}, note = {18\% acceptance rate (14/91)}, corerank = {A}, keywords = {reviewed} } A Machine Learning Approach to Mapping Streaming Workloads to Dynamic Multicore Processors. Paul-Jules Micolet; Aaron Smith; and Christophe Dubach. In Proceedings of the 17th ACM SIGPLAN/SIGBED conference on Languages, Compilers and Tools for Embedded Systems , of LCTES , 2016. 27% acceptance rate (12/44) bibtex @inproceedings{micolet16dynmulticore, title = {A Machine Learning Approach to Mapping Streaming Workloads to Dynamic Multicore Processors}, author = {Paul-Jules Micolet and Aaron Smith and Christophe Dubach}, booktitle = lctes16, series = {LCTES}, year= {2016}, note = {27\% acceptance rate (12/44)}, corerank = {A}, keywords = {reviewed} } Performance Portable GPU Code Generation for Matrix Multiplication. Toomas Remmelg; Thibaut Lutz; Michel Steuwer; and Christophe Dubach. In Proceedings of the 2016 Workshop on General Purpose Processing on Graphics Processing Units , of GPGPU , 2016. bibtex @inproceedings{remmelg16perf, title ={Performance Portable GPU Code Generation for Matrix Multiplication}, author = {Toomas Remmelg and Thibaut Lutz and Michel Steuwer and Christophe Dubach}, booktitle = gpgpu16, series = {GPGPU}, year = {2016}, keywords = {workshop} } Compositional Compilation for Sparse, Irregular Data Parallelism. Adam Harries; Michel Steuwer; Murray Cole; Alan Gray; and Christophe Dubach. In Proceedings of the 2016 Workshop on High-Level Programming for Heterogeneous and Hierarchical Parallel Systems , of HLPGPU , 2016. bibtex @inproceedings{harries16compositional, title = {Compositional Compilation for Sparse, Irregular Data Parallelism}, author = {Adam Harries and Michel Steuwer and Murray Cole and Alan Gray and Christophe Dubach}, booktitle = hlpgpu16, series = {HLPGPU}, year = {2016}, keywords = {workshop} } Four Metrics to Evaluate Heterogeneous Multicores. Erik Tomusk; Christophe Dubach; and Michael O'Boyle. ACM Transactions on Architecture and Code Optimization, ACM TACO , 12(4). 2016. bibtex @article{tomusk15taco, title = {Four Metrics to Evaluate Heterogeneous Multicores}, author = {Erik Tomusk and Christophe Dubach and Michael O'Boyle}, journal = {ACM Transactions on Architecture and Code Optimization, ACM TACO}, volume={12}, number={4}, year = {2016}, corerank = {A}, keywords = {reviewed} } 2015 (5) Patterns and Rewrite Rules for Systematic Code Generation (From High-Level Functional Patterns to High-Performance OpenCL Code). Michel Steuwer; Christian Fensch; and Christophe Dubach. CoRR , abs/1502.02389. 2015. Paper bibtex @article{DBLP:journals/corr/SteuwerFD15, author = {Michel Steuwer and Christian Fensch and Christophe Dubach}, title = {Patterns and Rewrite Rules for Systematic Code Generation (From High-Level Functional Patterns to High-Performance OpenCL Code)}, journal = {CoRR}, volume = {abs/1502.02389}, year = {2015}, url = {http://arxiv.org/abs/1502.02389}, archivePrefix = {arXiv}, eprint = {1502.02389}, timestamp = {Mon, 28 Aug 2017 20:59:30 +0200}, biburl = {https://dblp.org/rec/bib/journals/corr/SteuwerFD15}, bibsource = {dblp computer science bibliography, https://dblp.org}, keywords = {nonreviewed} } Generating Performance Portable Code using Rewrite Rules: From High-Level Functional Expressions to High-Performance OpenCL Code. Michel Steuwer; Christian Fensch; Sam Lindley; and Christophe Dubach. In Proceedings of the 20th ACM SIGPLAN International Conference on Funcational Programming , of ICFP , 2015. 29% acceptance rate (35/119) bibtex @inproceedings{steuwer2015generating, title={Generating Performance Portable Code using Rewrite Rules: From High-Level Functional Expressions to High-Performance OpenCL Code}, author={Michel Steuwer and Christian Fensch and Sam Lindley and Christophe Dubach}, booktitle= ifcp15, series = {ICFP}, year={2015}, note = {29\% acceptance rate (35/119)}, corerank = {A*}, keywords = {reviewed} } Diversity: A Design Goal for Heterogeneous Processors. Erik Tomusk; Christophe Dubach; and Michael O'Boyle. IEEE Computer Architecture Letters, IEEE CAL , PP. 2015. bibtex @article{tomusk15diversity, title= {Diversity: A Design Goal for Heterogeneous Processors}, author= {Erik Tomusk and Christophe Dubach and Michael O'Boyle}, journal = {IEEE Computer Architecture Letters, IEEE CAL}, volume = {PP}, issue = {99}, year = {2015}, keywords = {reviewed} } Carpet Unrolling Descriptors for Character Control On Uneven Terrain. Mark Miller; Daniel Holden; Rami Al-Ashqar; Christophe Dubach; Kenny Mitchell; and Taku Komura. In Proccedings of 8th the ACM SIGRAPH Motion in Games Conference , of MIG , 2015. bibtex @inproceedings{miller2015carpet, title = {Carpet Unrolling Descriptors for Character Control On Uneven Terrain}, author={Mark Miller and Daniel Holden and Rami Al-Ashqar and Christophe Dubach and Kenny Mitchell and Taku Komura}, booktitle= mig15, series = {MIG}, year = {2015}, keywords = {reviewed} } Runtime Code Generation and Data Management for Heterogeneous Computing in Java. Juan Jos Fumero; Toomas Remmelg; Michel Steuwer; and Christophe Dubach. In Proccedings of the 12th International Conference on Principles and Practice of Programming on the Java Platform: Virtual machines, languages, and tools , of PPPJ , 2015. bibtex @inproceedings{fumero2015runtime, title={Runtime Code Generation and Data Management for Heterogeneous Computing in Java}, author={Juan Jos{\'e} Fumero and Toomas Remmelg and Michel Steuwer and Christophe Dubach}, booktitle= pppj15, series = {PPPJ}, year={2015}, corerank = {C}, keywords = {reviewed} } 2014 (5) Automatic optimization of thread-coarsening for graphics processors. Alberto Magni; Christophe Dubach; and Michael O'Boyle. In Proceedings of the 23rd international conference on Parallel architectures and compilation , of PACT , 2014. 26% acceptance rate (37/144) Paper bibtex @inproceedings{magni2014automatic, title={Automatic optimization of thread-coarsening for graphics processors}, author={Magni, Alberto and Dubach, Christophe and O'Boyle, Michael}, booktitle= pact14, series = {PACT}, year={2014}, url = {papers/magni14pact.pdf}, note = {26\% acceptance rate (37/144)}, corerank = {A}, keywords = {reviewed} } Measuring flexibility in single-ISA heterogeneous processors. Erik Tomusk; Christophe Dubach; and Micahel O'Boyle. In Proceedings of the 23rd international conference on Parallel architectures and compilation , of PACT , 2014. 26% acceptance rate (37/144) Paper bibtex @inproceedings{tomusk2014measuring, title={Measuring flexibility in single-ISA heterogeneous processors}, author={Erik Tomusk and Christophe Dubach and Micahel O'Boyle}, booktitle= pact14, series = {PACT}, year={2014}, url = {papers/tomusk14pact.pdf}, note = {26\% acceptance rate (37/144)}, corerank = {A}, keywords = {reviewed} } A Composable Array Function Interface for Heterogeneous Computing in Java. Juan Jos Fumero; Michel Steuwer; and Christophe Dubach. In Proceedings of ACM SIGPLAN International Workshop on Libraries, Languages, and Compilers for Array Programming , of ARRAY , 2014. Paper bibtex @inproceedings{fumero2014composable, title={A Composable Array Function Interface for Heterogeneous Computing in Java}, author={Fumero, Juan Jos{\'e} and Steuwer, Michel and Dubach, Christophe}, booktitle=array14, series = {ARRAY}, year={2014}, url = {papers/fumero14array.pdf}, keywords = {workshop} } Community-driven reviewing and validation of publications. Grigori Fursin; and Christophe Dubach. In Proceedings of the 1st ACM SIGPLAN Workshop on Reproducible Research Methodologies and New Publication Models in Computer Engineering , of TRUST , 2014. Paper bibtex @inproceedings{fursin2014community, title={Community-driven reviewing and validation of publications}, author={Fursin, Grigori and Dubach, Christophe}, booktitle= trust14, series = {TRUST}, year={2014}, url = {papers/fursin14trust.pdf}, keywords = {workshop} } Exploiting gpu hardware saturation for fast compiler optimization. Alberto Magni; Christophe Dubach; and Michael O'Boyle. In Proceedings of Workshop on General Purpose Processing Using GPUs , of GPGPU , 2014. Paper bibtex @inproceedings{magni2014exploiting, title={Exploiting gpu hardware saturation for fast compiler optimization}, author={Magni, Alberto and Dubach, Christophe and O'Boyle, Michael}, booktitle= gpgpu14, series = {GPGPU}, year={2014}, url = {papers/magni14gpgpu.pdf}, keywords = {workshop} } 2013 (2) A large-scale cross-architecture evaluation of thread-coarsening. Alberto Magni; Christophe Dubach; and Michael F. P. O'Boyle. In Proceedings of the 2013 Conference on High Performance Computing Networking, Storage and Analysis , of SC , 2013. 22% acceptance rate Paper bibtex @inproceedings{magni13largescale, author = {Magni, Alberto and Dubach, Christophe and O'Boyle, Michael F. P.}, title = {A large-scale cross-architecture evaluation of thread-coarsening}, booktitle = sc13, series = {SC}, year = {2013}, url = {papers/magni13sc.pdf}, note = {22\% acceptance rate}, corerank = {A}, keywords = {reviewed} } Dynamic microarchitectural adaptation using machine learning. Christophe Dubach; Timothy M Jones; and Edwin V Bonilla. ACM Transactions on Architecture and Code Optimization, ACM TACO , 10(4): 31. 2013. Paper bibtex @article{dubach2013dynamic, title={Dynamic microarchitectural adaptation using machine learning}, author={Dubach, Christophe and Jones, Timothy M and Bonilla, Edwin V}, journal={ACM Transactions on Architecture and Code Optimization, ACM TACO}, volume={10}, number={4}, pages={31}, year={2013}, publisher={ACM}, url = {papers/dubach13taco.pdf}, corerank = {A}, keywords = {reviewed} } 2012 (2) Compiling a High-Level Language for GPUs (via Language Support for Architectures and Compilers). Christophe Dubach; Perry Cheng; Rodric Rabbah; David Bacon; and Stephen Fink. In Proceedings of the 33rd ACM SIGPLAN Symposium on Programming Language Design and Implementation , of PLDI , 2012. 19% acceptance rate (48/255), HiPEAC Paper Award Paper bibtex @inproceedings{dubach12compiling, author = {Dubach, Christophe and Cheng, Perry and Rabbah, Rodric and Bacon, David and Fink, Stephen}, title = {Compiling a High-Level Language for GPUs (via Language Support for Architectures and Compilers)}, booktitle = pldi12, series = {PLDI}, year = {2012}, url = {papers/dubach12pldi.pdf}, note = {19\% acceptance rate (48/255), HiPEAC Paper Award}, corerank = {A*}, keywords = {reviewed} } Exploring and predicting the effects of microarchitectural parameters and compiler optimizations on performance and energy. Christophe Dubach; Timothy M Jones; and Michael FP O'boyle. ACM Transactions on Embedded Computing Systems, ACM TECS , 11(1): 24. 2012. Paper bibtex @article{dubach2012exploring, title={Exploring and predicting the effects of microarchitectural parameters and compiler optimizations on performance and energy}, author={Dubach, Christophe and Jones, Timothy M and O'boyle, Michael FP}, journal={ACM Transactions on Embedded Computing Systems, ACM TECS}, volume={11}, number={1}, pages={24}, year={2012}, publisher={ACM}, url = {papers/dubach12tecs.pdf}, corerank = {A}, keywords = {reviewed} } 2011 (1) An empirical architecture-centric approach to microarchitectural design space exploration. Christophe Dubach; Timothy M Jones; and Michael FP O'Boyle. IEEE Transactions on Computers, IEEE TC , 60(10): 14451458. 2011. Paper bibtex @article{dubach2011empirical, title={An empirical architecture-centric approach to microarchitectural design space exploration}, author={Dubach, Christophe and Jones, Timothy M and O'Boyle, Michael FP}, journal={IEEE Transactions on Computers, IEEE TC}, volume={60}, number={10}, pages={1445--1458}, year={2011}, publisher={IEEE}, url = {papers/dubach11tc.pdf}, corerank = {A*}, keywords = {reviewed} } 2010 (1) A Predictive Model for Dynamic Microarchitectural Adaptivity Control. Christophe Dubach; Timothy M. Jones; Edwin V. Bonilla; and Michael F. P. O'Boyle. In Proceedings of the 43rd Annual IEEE/ACM International Symposium on Microarchitecture , of MICRO , 2010. 17% acceptance rate (42/248), HiPEAC Paper Award Paper bibtex @inproceedings{dubach10predictive, author = {Dubach, Christophe and Jones, Timothy M. and Bonilla, Edwin V. and O'Boyle, Michael F. P.}, title = {A Predictive Model for Dynamic Microarchitectural Adaptivity Control}, booktitle = micro10, series = {MICRO}, year = {2010}, url = {papers/dubach10micro.pdf}, note = {17\% acceptance rate (42/248), HiPEAC Paper Award}, corerank = {A}, keywords = {reviewed} } 2009 (3) Portable compiler optimisation across embedded programs and microarchitectures using machine learning. Christophe Dubach; Timothy M. Jones; Edwin V. Bonilla; Grigori Fursin; and Michael F. P. O'Boyle. In Proceedings of the 42nd Annual IEEE/ACM International Symposium on Microarchitecture , of MICRO , 2009. 25% acceptance rate (52/20), HiPEAC Paper Award Paper bibtex @inproceedings{dubach09portable, author = {Dubach, Christophe and Jones, Timothy M. and Bonilla, Edwin V. and Fursin, Grigori and O'Boyle, Michael F. P.}, title = {Portable compiler optimisation across embedded programs and microarchitectures using machine learning}, booktitle = {Proceedings of the 42nd Annual IEEE/ACM International Symposium on Microarchitecture}, series = {MICRO}, year = {2009}, url = {papers/dubach09micro.pdf}, note = {25\% acceptance rate (52/20), HiPEAC Paper Award}, corerank = {A}, keywords = {reviewed} } Rapid Early-Stage Microarchitecture Design Using Predictive Models. Christophe Dubach; Timothy M. Jones; and Micahel F.P. O'Boyle. In Proceedings of the 2009 IEEE International Conference on Computer Design , of ICCD , 2009. 34% acceptance rate (70/205) Paper bibtex @inproceedings{dubach09iccd, author = {Christophe Dubach and Timothy M. Jones and Micahel F.P. O'Boyle}, title = {Rapid Early-Stage Microarchitecture Design Using Predictive Models}, booktitle = iccd09, series = {ICCD}, year = {2009}, url = {papers/dubach09iccd.pdf}, note = {34\% acceptance rate (70/205)}, keywords = {reviewed} } Using machine-learning to efficiently explore the architecture/compiler co-design space. Christophe Dubach. PhD Thesis . 2009. The University of Edinburgh, UK Paper bibtex @article{dubach2009using, title={Using machine-learning to efficiently explore the architecture/compiler co-design space}, journal={PhD Thesis}, author={Dubach, Christophe}, year={2009}, note={The University of Edinburgh, UK}, url = {papers/phd_thesis.pdf}, keywords = {nonreviewed} } 2008 (1) Exploring and predicting the architecture/optimising compiler co-design space. Christophe Dubach; Timothy M. Jones; and Michael F.P. O'Boyle. In Proceedings of the 2008 International Conference on Compilers, Architecture and Synthesis for Embedded Systems , of CASES , 2008. 33% acceptance rate (27/82) Paper bibtex @inproceedings{dubach08exploring, author = {Christophe Dubach and Timothy M. Jones and Michael F.P. O'Boyle}, title = {Exploring and predicting the architecture/optimising compiler co-design space}, booktitle = cases08, series = {CASES}, year = {2008}, url = {papers/dubach08cases.pdf}, note = {33\% acceptance rate (27/82)}, corerank = {A}, keywords = {reviewed} } 2007 (2) Microarchitectural Design Space Exploration Using An Architecture-Centric Approach. Christophe Dubach; T. M. Jones; and M. F. P. O'Boyle. In Proceedings of the 40th Annual IEEE/ACM International Symposium on Microarchitecture , of MICRO , 2007. 21% acceptance rate, 35/166 Paper bibtex @inproceedings{dubach07micro, author = {Christophe Dubach and T. M. Jones and M. F. P. O'Boyle}, title = {Microarchitectural Design Space Exploration Using An Architecture-Centric Approach}, booktitle = micro07, series = {MICRO}, year = {2007}, url = {papers/dubach07micro.pdf}, note = {21\% acceptance rate, 35/166}, corerank = {A}, keywords = {reviewed} } Fast compiler optimisation evaluation using code-feature based performance prediction. Christophe Dubach; John Cavazos; Bjrn Franke; Grigori Fursin; Michael F.P. O'Boyle; and Olivier Temam. In Proceedings of the 4th International Conference on Computing Frontiers , of CF , 2007. 50% acceptance rate (28/56) Paper bibtex @inproceedings{dubach07fast, author = {Christophe Dubach and John Cavazos and Bj\"{o}rn Franke and Grigori Fursin and Michael F.P. O'Boyle and Olivier Temam}, title = {Fast compiler optimisation evaluation using code-feature based performance prediction}, booktitle = cf07, series = {CF}, year = {2007}, url = {papers/dubach07cf.pdf}, note = {50\% acceptance rate (28/56)}, keywords = {reviewed} } 2006 (1) Automatic performance model construction for the fast software exploration of new hardware designs. John Cavazos; Christophe Dubach; Felix Agakov; Edwin Bonilla; Michael F. P. O'Boyle; Grigori Fursin; and Olivier Temam. In Proceedings of the 2006 International Conference on Compilers, Architecture and Synthesis for Embedded Systems , of CASES , 2006. 25% acceptance rate (25/100), Finalist Best Paper Paper bibtex @inproceedings{Cavazos06automatic, author = {John Cavazos and Christophe Dubach and Felix Agakov and Edwin Bonilla and Michael F. P. O'Boyle and Grigori Fursin and Olivier Temam}, title = {Automatic performance model construction for the fast software exploration of new hardware designs}, booktitle = cases06, series = {CASES}, year = {2006}, url = {papers/cavazos06cases.pdf}, note = {25\% acceptance rate (25/100), Finalist Best Paper}, corerank = {A}, keywords = {reviewed} } 2005 (2) Enabling unrestricted automated synthesis of portable hardware accelerators for virtual machines. Miljan Vuletic; Christophe Dubach; Laura Pozzi; and Paolo Ienne. In Proceedings of the 3rd IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis , of CODES+ISSS , 2005. 25% acceptance rate (50/200) Paper bibtex @inproceedings{vuletic05enabling, author = {Miljan Vuletic and Christophe Dubach and Laura Pozzi and Paolo Ienne}, title = {Enabling unrestricted automated synthesis of portable hardware accelerators for virtual machines}, booktitle = codesisss05, series = {CODES+ISSS}, year = {2005}, url = {papers/vuletic05codesisss.pdf}, note = {25\% acceptance rate (50/200)}, corerank = {C}, keywords = {reviewed} } Java Byte Code synthesis for reconfigurable computing platforms. Christophe Dubach. Master's thesis . 2005. Ecole Polytechnique Fdrale de Lausanne, Switzerland Paper bibtex @article{dubach2005java, title={Java Byte Code synthesis for reconfigurable computing platforms}, author={Dubach, Christophe}, journal={Master's thesis}, note={Ecole Polytechnique F{\'e}d{\'e}rale de Lausanne, Switzerland}, year={2005}, url = {papers/master_thesis.pdf}, keywords = {nonreviewed} } Embedding in another Page Copy&paste any of the following snippets into an existing page to embed this page. For more details see the documention . JavaScript (Easiest) PHP iFrame Close Contact email : christophe.dubach (AT) ed.ac.uk phone : +44 (0) 131 650 3092 Christophe Dubach University of Edinburgh Informatics Forum - 1.12 10 Crichton Street Edinburgh EH8 9AB United Kingdom Christophe Dubach Reader (Associate Professor) Intro Team Research Teaching Committees Publications Contact Email Google Scholar DLDB diff --git a/src/data/compiled_bios/5365.txt b/src/data/compiled_bios/5365.txt new file mode 100644 index 0000000000..c012515027 --- /dev/null +++ b/src/data/compiled_bios/5365.txt @@ -0,0 +1 @@ + University Homepage School Homepage School Contacts School Search Tariq Elahi Position Lecturer in Security and the Internet of Things Roles Associate Member of Institute for Computing Systems Architecture Member of Laboratory for Foundations of Computer Science Personal Tutor of Informatics MSc Students Project supervision of Honours Project Project supervision of MSc Dissertation Research Interests Email Address Office,Telephone IF-4.04A,+44 (0) 131 651 3257 Publications - Edinburgh Research Explorer Personal Page Home : People Informatics Forum, 10 Crichton Street, Edinburgh, EH8 9AB, Scotland, UK Tel: +44 131 651 5661, Fax: +44 131 651 1426, E-mail: school-office@inf.ed.ac.uk Database generated page, please contact us with any comments or corrections. Logging and Cookies Unless explicitly stated otherwise, all material is copyright The University of Edinburgh diff --git a/src/data/compiled_bios/5366.txt b/src/data/compiled_bios/5366.txt new file mode 100644 index 0000000000..4444379b77 --- /dev/null +++ b/src/data/compiled_bios/5366.txt @@ -0,0 +1 @@ + Kousha Etessami Laboratory for Foundations of Computer Science School of Informatics University of Edinburgh email: kousha at inf.ed.ac.uk I am a Professor in, and the current Director of, the Laboratory for Foundations of Computer Science , within the School of Informatics of the University of Edinburgh . Publications: publications available online . Research interests: In general, theoretical computer science. More specifically: automated verification, logic, algorithms and computational complexity theory, algorithmic game theory, equilibrium computation, analysis of probabilistic systems, Markov decision processes, stochastic games, automata theory, model checking, analysis of infinite-state systems, finite model theory and descriptive complexity. Teaching: Algorithmic game theory course . Discrete Mathematics course . (Stochastic) Modelling and Simulation course (Fall '05-'10). Compiling techniques course (Spring '03-'05). Some invited talks/tutorial slides Postdoctoral research associate: Vclav Broek (Newton Fellow, now at Google-Munich) Ph.D. students: Emanuel Martinov. Alistair Stewart (completed Ph.D. in 2014, now a post-doc at U. of Southern California.) Dominik Wojtczak (completed Ph.D. in 2009, now Lecturer at U. of Liverpool) I'm looking for Ph.D. students with a strong mathematics/theory background. If you are interested in applying for Ph.D. study with me, please contact me by email, and please apply via the School of Informatics postgraduate application web page . You are encouraged to also consider applying for a Ph.D. studentship within the Doctoral Training programme in Data Science or the Doctoral Training Programme in Pervasive Parallelism , both of which I have an affiliation with as a possible PhD supervisor. Software: PReMo: an analyzer for probabilistic recursive models (developed by D. Wojtczak). Conferences and program committees: SAGT 2018 SODA 2018 ITCS 2018 CAV 2016 RP 2016 RP 2015 LCC 2014/ImmermanFest ICALP 2014 STACS 2014 ITCS 2014 (5th Innovations in Theoretical Computer Science conference) FOSSACS 2014 Horizons in Theoretical Computer Science: A Celebration of Mihalis Yannakakis's 60th Birthday, CCI/Princeton, August, 2013. LICS'2013 STOC'2011 LICS'2011 SAGT'2010: 3rd. Int. Symp. on Algorithmic Game Theory QEST'10 ICALP'09 FOSSACS'09 Logic and Algorithms'08 (co-organizer with Anuj Dawar and Moshe Vardi ) SPIN'08 QEST'07 CONCUR'06 LICS'06 CAV'05 (co-chair with Sriram Rajamani ) CAV'04 CSL'04 Some old software for LTL to Bchi translation Office address: Laboratory for Foundations of Computer Science School of Informatics University of Edinburgh Informatics Forum, Room 5.20 10 Crichton Street Edinburgh EH8 9AB Scotland, UK Telephone: +44 (0)131 650 5197 diff --git a/src/data/compiled_bios/5367.txt b/src/data/compiled_bios/5367.txt new file mode 100644 index 0000000000..2150644941 --- /dev/null +++ b/src/data/compiled_bios/5367.txt @@ -0,0 +1 @@ + Wenfei Fan () Professor of Web Data Management LFCS , School of Informatics University of Edinburgh Office: Informatics Forum 5.23 Address: 10 Crichton Street Edinburgh, EH8 9AB Scotland, UK Phone: +44 (0)131 651-3877 Fax: +44 (0)131 651 1426 Email: wenfei @ inf.ed.ac.uk Research interests : database theory and systems. Recent Publications Services Teaching: QSX , TDD , CS2 ERC project: Resource Bounded Graph Query Answering [ Official Home | Research | Publications | Services | Teaching ] [ The Database Group at Edinburgh | LFCS | Bell Labs | RCBD (International Research Center on Big Data) at Beihang ] I work with people like this To apply to study for a PhD in Informatics at Edinburgh, check out Centers for Doctoral Training in Data Science and Pervasive Parallelism Pictures wenfei @ inf.ed.ac.uk diff --git a/src/data/compiled_bios/5368.txt b/src/data/compiled_bios/5368.txt new file mode 100644 index 0000000000..279912cd39 --- /dev/null +++ b/src/data/compiled_bios/5368.txt @@ -0,0 +1 @@ + Bob Fisher Click image for 3D Video: See the University of Edinburgh online research video collection . Here's mine: Prof. Robert Fisher has been an academic in the School of Informatics (originally in the former Department of Artificial Intelligence) at University of Edinburgh since 1984 and a full Professor since 2003. He received his PhD from University of Edinburgh (1987), investigating computer vision in the former Department of Artificial Intelligence. His previous degrees are a BS with honors (Mathematics) from California Institute of Technology (1974) and a MS (Computer Science) from Stanford University (1978). He worked as a software engineer for 5 years before returning to study for his PhD. Research Overview Publication List . Google Scholar List . University PURE research activity entry . He has been researching 3D scene understanding since 1982, and has worked on model based object recognition, range image analysis and parallel vision algorithms. The main topics of his recent research are: variations on the interpretation tree model matching algorithm, automatic model acquisition applied to engineering objects and buildings, surface model-based object recognition, range image analysis, iconic image analysis, and humpback whalesong analysis. This research is conducted in the Machine Vision Unit . He is or has been the principal investigator of these projects: a partner in euCognition: European Network for the Advancement of Artificial Cognitive Systems DERMOFIT : A cognitive prosthesis to aid focal skin lesion diagnosis (Wellcome Foundation funded research project). You might be interested in our Spotnostic skin cancer diagnostic assistant . ChiRoPing : Dynamic shape capture of bats using a high speed 3D range sensor Fish4Knowledge : investigating knowledge extraction from very large datasets (of fish), including its SecondLife Exhibition Hall TrimBot2020 : investigating the robotics and computer vision needed by a gardening robot for rose, hedge and topiary trimming His current PhD students and research staff are: Adam Clayden Hanz Cuevas Vlasquez Nanbo Li Can Pu Radim Tylecek His PhD graduates are: Emilio Agustin Molina, Cigdem Beyan, Edvaldo Bispo, Scott Blunsden, Dibio Borges, Jay Bradley, Toby Breckon, Li Dong Cai, Michael Cameron-Jones, Helmut Cantzler, Andrew Fitzgibbon, Herman Gomes, Luis Horna Carranza, Xuan (Phoenix) Huang, Howard Hughes, Xiang Li, Tim Lukins, Steven McDonagh, Maurizio Pilu, Rowland Sillito, Yaoru Sun, and David Wren. Look here for information about applying to study for a PhD or MSc in Informatics at Edinburgh. The School is recruiting PhD students (mainly UK) into their EPSRC Centre for Doctoral Training in Robotics and Autonomous Systems , EPSRC Centre for Doctoral Training in Data Science , and EPSRC Centre for Doctoral Training in Pervasive Parallelism . Internships, Visitors, Jobs and PhD Places PhD: we are recruiting computer vision students for 2018/19 entry. Jobs: no vision jobs are open at the moment Internships: if you can self-fund, then we may have room for visiting interns. Visitors: If you have a fellowship paying your own salary plus visitor fees, then we may have room for visiting scientists. Main administrative responsibilities Nothing while on sabbatical Main teaching responsibilities Advanced Vision Advanced Vision (by Distance Learning) for the MSc and Undergraduate Joint Honour degree courses. Popular image analysis datasets/databases BEHAVE Interacting Person Video Data with markup CAVIAR project video sequences with tracking and behavior ground truth Edinburgh overhead camera person tracking dataset HIPR2 Image Catalogue of different types of images Time-Lapse Videos of a Building Site Research community contributions CVonline , The Evolving, Distributed, Non-Proprietary, On-Line Compendium of Computer Vision, including its listing of computer vision datasets , software and books . The current version of HIPR2 : Hypertext Image Processing Reference. The support web site for the second edition of the Dictionary of Computer Vision and Image Processing . He was the Chair (2007-2010) of the Education Committee of the International Association for Pattern Recognition , which has produced online education resources . He is currently the Chair (2016-2018) of the IAPR's Industrial Liaison Committee. He has been elected an IAPR Fellow . Some thoughts on AI / Artificial Intelligence: R. B. Fisher, AI and Cinema - Does artificial insanity rule? , unpublished, 2002. R. B. Fisher, Is your robot afraid of dying (and why you should care)? , unpublished, 2017. R. B. Fisher et al , Evidence contribution to the UK House of Lords inquiry on Artificial Intelligence , 2017. Other things that might interest you A study on the Representations of Artificial Intelligence in Cinema An online Dictionary of Computer Graphics My professorial inaugural lecture . A short video (10 min) by Meirul Din, on "How seriously should we take the hype about AI?" , which includes an interview of me. (185Mb) All Thanks to Turing - a robot gives thanks to Alan Turing (video) as part of Take Tea With Turing , a celebration by Victoria Adams. My favourite MP3 mashup - Bob Rocks! (by James Fairlie). The University now has a set of 500+ one minute research-in-a-nutshell videos and mine (about the Chiroping project) is here . Some suggestions on introducing talks . You might also be interested in: Pointless Powerpoint , PowerPoint Is Evil Do you worry that you might be an Academic Imposter? You are not alone! We're surrounded by hugely talented people and we only know a little bit more about one specialized topic. Except that everyone feels this way. See: Imposter Syndrome in Academia , Impostor syndrome . Our skin cancer research has led to the DERMOFIT skin cancer training and diagnostic assistant iPad app in partnership with Simedics . Spanish translation of biography (Science for Everyone) Some interesting recent undergraduate and MSc theses: J. Aizeboje, Ceilidh dance recognition from an overhead camera , MSc dissertation, 2016. L. Alkurdi, Fuzzy Control of a Robotic Blimp , MSc dissertation, 2011. C. Cobzarenco, Quantifying Skin Lesion Change over a Short Period , Undergraduate dissertation, 2013. L. Danev, Fruit and vegetable classification from live video , Undergraduate dissertation, 2017. A. Ferguson, Automated Classification of Fish Species from CCTV Footage , MSc dissertation, 2014. P. Green, Investigation into the use of surf web cameras to improve the accuracy of forecasting wave behavior , Undergraduate dissertation, 2017. B. Majecka, Statistical models of pedestrian behaviour in the Forum , MSc dissertation, 2009. S. McDonagh, Skin Cancer Surface Shape Based Classification , Undergraduate dissertation, 2008. G. Papadimitriou, Psychophysics of Autostereogram Videos: Blur, Contrast and Repetition Period , MSc dissertation, 2010. G. Petkov, Tracking and annotating a chess game , Undergraduate dissertation, 2013. J. L. Reyes Ortiz, Probabilistic Time Lapse Video , MSc dissertation, 2008. C. Shotton, The Spam Companion: An Investigation Into Counter Spam Measures , Undergraduate dissertation, 2012. C. Tarlungianu, Detection of Road Gully Drains , Undergraduate dissertation, 2015. Other people you might want to contact over specific issues Informatics Secretary Inst. of Perception, Action and Behaviour Secretary Contact Details School of Informatics University of Edinburgh 1.11 Bayes Centre 47 Potterrow Edinburgh EH8 9BT UK TEL: 44-131-651-3441 plus code: WRW7+54 Email: Here is a map to my office in the Bayes Centre. Enter via the main entrance in the courtyard off of Crichton Street. Go up the stairs/elevator 1 floor. My office is 1.11. Here is a Google map link with a streetside view. Date of last change to this page: 02/18/2019 15:03:07 diff --git a/src/data/compiled_bios/5369.txt b/src/data/compiled_bios/5369.txt new file mode 100644 index 0000000000..cd44869b65 --- /dev/null +++ b/src/data/compiled_bios/5369.txt @@ -0,0 +1 @@ + Jacques Fleuriot Wir mssen wissen. Wir werden wissen. Research Publications Quick CV Grants Students Tools As you like it Skip to content Home Admin Research Teaching Publications Quick CV Grants Students Tools AYLI Random Text Machines take me by surprise with great frequency. - Alan Turing WorkflowFM WorkflowFM.com and WorkflowFM.org describe ongoing work on formal modelling and verification for healthcare. Check them out! Past Events I was the Programme Chair for the 13th International Conference on Artificial Intelligence and Symbolic Computation (AISC 2018) held in Suzhou, China. I gave an invited talk at the 12th International Conference on Automated Deduction in Geometry, ADG 2018. The conference was in memory of the influential Chinese mathematician Wen-tsn Wu. I was the Conference Chair for the 10th edition of the Conference on Intelligent Computer Mathematics ( CICM ) in Edinburgh. Our platform grant on the Integration and Interaction of Multiple Mathematical Reasoning Processes ( EP/N014758/1 ) was renewed by EPSRC! WorkflowFM was present at Engage, Invest, Exploit (EIE) 2016 Exhibition, the premier showcase in Scotland for investors and entrepreneurs. A special issue of the AMAI on Geometric Reasoning edited by J. Fleuriot and T. Ida appeared in August 2015. Reader in Automated Reasoning Director of Institute, CISA Informatics Forum University of Edinburgh 10 Crichton Street EH8 9AB United Kingdom Office: IF 2.15 Tel: +44 131 650 9342 Fax: +44 131 651 1426 New: EIT Digital Project funded Digiflow Digitizing Industrial Workflow, Monitoring and Optimization has received a second round of funding from EIT Digital (01/2019-12/2019). The WorkflowFM team (Papapanagiotou, Vaughan and Fleuriot)will continue to work on the transfer of its formal-methods based technology to a real-world context involving the modelling and deployment of industrial workflows tracking shopfloor assets and workforce. Project Partners: FBK CREATE-NET,Reply, ThinkINside. I am theDirector of the Centre for Intelligent Systems and their Applications , which is part ofthe School of Informatics at the university of Edinburgh. My main field of research lies in interactive theorem proving and its use in areas such as formalized mathematics and formal verification. I am particularly interested in the investigation of mathematical reasoning both historical and contemporary using proof assistants. Opportunities: PhD in AI for Healthcare: Are you interested in developing and applying AI techniques ranging from formal verification to machine learning to real-world healthcare processes? If so, contact me.Funding may be available for good students. PhD in Formal Modelling and Verification for AI: I am interested in supervising PhD students who wish to explore and develop the foundations of AI algorithms and approaches, e.g. machine learning (including Deep Learning) and logic-based learning, via formal modelling and verification. Candidates will needto have a strong background in mathematics, interest in computational logic/theorem proving and experience in machine learning and other aspects of AI. Funding is available for goodapplicants. PhD in FormalisedMathematics for Physics: I am looking for research students interested in the formalization of physics and its applications to the real world (e.g. robotics and autonomous navigation). Funding may be available for good students. Drop me an email, if youre interested. PhD in Collaborative Theorem Proving: I am interested in supervising students on the application of machine learning and social computation to interactive theorem proving. Funding may be available for good students. If this sounds like something youd like to beinvolved in, get in touch! Some of my latest research interests: AI in healthcare, with an emphasis on the modelling of computer- and human-based processes and their interactions using AI techniques. More information is available here . Formal verification for AI, especially with regards to machine learning. Formalised mathematics: I am working on the formal reconstruction in the theorem prover Isabelle of proofs from Euler s famous Introductio in analysin infinitorum (Introduction to the Analysis of the Infinite), first published in 1748. I am currently workingon various concepts related to the notion of Collaborative Mechanical Theorem Proving. Recent Working Papers: Papapanagiotou P. and Fleuriot J. (2018). Correct by Construction Resource-based Process Composition. CoRR abs/1803.02613 Obua S., Scott P. and Fleuriot J. (2017). Local Lexing. CoRR abs/1702.03277 . Scott P., Obua S. and Fleuriot J. (2017). Compiling Purely Functional Structured Programs. CoRR abs/1703.05227 . Fleuriot J., Obua S. and Scott P. (2016). Social Network Processes in the Isabelle and Coq Theorem Proving Communities. CoRRabs/1609.07127 Latest Refereed Publications : Papapanagiotou P. and Fleuriot J. (2019). A Pragmatic, Scalable Approach to Correct-by-construction Process Composition Using Classical Linear Logic Inference. To appear in the post-proceedings of Logic-Based Program Synthesis and Transformation (LOPSTR), LNCS Springer. Narboux J., Janicic P. and Fleuriot J. (2018). Computer-assisted Theorem Proving in Synthetic Geometry. Chapter in the Handbook of Geometric Constraint Systems Principles (ISBN 9781498738910), 21-44, Chapman and Hall/CRC, July 2018. Jiang Y., Papapanagiotou P. and Fleuriot J. (2018). Machine Learning for Automated Inductive Theorem Proving. Proceedings of the 13th International Artificial Intelligence and Symbolic Computation (AISC) Conference 2018, Lecture Notes in Artificial Intelligence, Volume 11110, 87-103. Comments are closed. Powered by WordPress and Sliding Door theme. diff --git a/src/data/compiled_bios/537.txt b/src/data/compiled_bios/537.txt new file mode 100644 index 0000000000..ef38c6d2d5 --- /dev/null +++ b/src/data/compiled_bios/537.txt @@ -0,0 +1 @@ +Matthew Wachs LecturerDepartment of Computer Science Email: mwachs@cs.uchicago.edu Phone: (773)702-6614 Office: JCL 211 diff --git a/src/data/compiled_bios/5370.txt b/src/data/compiled_bios/5370.txt new file mode 100644 index 0000000000..ab60dfb927 --- /dev/null +++ b/src/data/compiled_bios/5370.txt @@ -0,0 +1 @@ + My online public diary shows only some of my commitmentsjust because you don't see anything there it doesn't mean I'm free, or even idle. Check with my secretary for appointments. The calendar can be read with Mozilla Sunbird , Mozilla or Firefox Calendar , or Mac OSX iCal. I now have a blog with an Atom feed Michael Fourman Professor of Computer Systems, in the School of Informatics , College of Science and Engineering The University of Edinburgh . My research interests are centred around applications of logics in Computer Science, Artificial Intelligence, and Cognitive Science. My hobbies include cooking , sailing, and messing about . Contact Details Research & Other Fun Teaching Edinburgh Weather and Tides Random Tips for Informatics Mac Users (and other intrepid souls) Recipes including a recipe for tahini halva. www.inf.ed.ac.uk homepages.inf.ed.ac.uk www.ed.ac.uk This file last modified 2013 - 04 - 03 20002014 Michael Fourman diff --git a/src/data/compiled_bios/5371.txt b/src/data/compiled_bios/5371.txt new file mode 100644 index 0000000000..816da3b40f --- /dev/null +++ b/src/data/compiled_bios/5371.txt @@ -0,0 +1 @@ + Skip to content Bjrn Franke Software Transformation Driven By Dynamic Information Menu About Me Research Projects Research Group Publications Teaching Contact News Scroll down to content About Me I am a Reader in the School of Informatics at the University of Edinburgh , whereI am a member of the Institute for Computing Systems Architecture , the Compiler and Architecture Design (CArD) group ,the ARM Centre of Excellence and the Edinburgh Huawei Lab. Working with me If you are interested in working with me, e.g. as PhD or MRes student, please get in touch . Fully funded places are available in the Edinburgh Centre for Doctoral Training in Pervasive Parallelism ! Research interests I am broadly interested in software transformation , mostly for performance optimisation and parallelisation, but I have also looked at various techniques to e.g. reduce code size on embedded processors. Many transformations a compiler can apply are closely coupled to some kind of analysis determining whether the transformation is safe, i.e. it doesnt break the program, and profitable, i.e. the program runs faster as a result of applying the transformation. Static analyses, which do not execute the program, but reason about it using some fancy maths, are often conservative and return statements such as dont know or maybe. Obviously, this is not helpful for program transformation. Instead, we could either improve static analyses, but this is tricky (and often in fact intractable), or we could incorporate dynamic information obtained from actually running the program. And this is what I am interested in! Of course, there are lots of interesting problems to solve, e.g. how can we make this dynamic analysis safe and make sure we dont miss some corner case, or how do we make it fast as we dont want to spend a lot of time analysing the program at runtime when all we want to do is to actually reduce the programs execution time. All of this has a number of applications, for example to drive better code optimisations applied by a compiler, to enable more aggressive parallelisation of sequential legacy code or to improve performance of just-in-time compilers in dynamic binary translators (also known as instruction set simulators or emulators). Short biography Since Aug. 11: Reader (US equiv. Associate Professor) School of Informatics, University of Edinburgh Sept. 04 July 11: Lecturer (US equiv. Assistant Professor) School of Informatics, University of Edinburgh Sept. 03 Aug. 04: Research Associate School of Informatics, University of Edinburgh Oct. 00 May 04: PhD in Computer Science School of Informatics, University of Edinburgh Oct. 99 Sept. 00: MSc in Computer Science School of Informatics, University of Edinburgh Oct. 92 Sept. 99: Dipl.-Inf. in Computer Science Fachbereich Informatik, Universitt Dortmund PhD Studentships The School has a number of competitive studentships for PhD study . I am interested in taking on PhD students to work on the following areas: Dynamic Program Analysis and Transformation , including(Semi-)Automatic Parallelisation of Legacy Applications, andIdentification of Structured Parallelism, including Algorithmic Skeletons Code Generation and Optimisation , especially for Embedded Platforms Just-in-Time Compilation Instruction Set Simulation, including Dynamic Binary Translation and Full-System Simulation Performance Estimation in Simulators Hardware/Software Design Space Exploration Please do contact me for further information on any of these areas. If you are sending me an informal enquiry, please put the term PhD Application in the title of the email. Please also include a CV and a brief statement of research interest. Informal enquiries do not constitute an application, and I ignore all unpersonalised emails (if you are serious about a PhD, you send individual enquiries not mass mailed ones). To apply you should use the usual University of Edinburgh application . However I do recommend that you back up any application with an informal enquiry. January 1 is considered to be a first cutoff for applications. Though I do accept applications after that date, I do recommend you try to apply before that date if you can as it makes it easier to get funding. Research Group Virtually all my work is the result of a collaborative group effort and would not be possible without the various people working with me. This includes mostly PhD students and Post-Doctoral Researchers, but also MSc and undergraduate students and colleagues across ICSA . PostDocs and Students Post-Doctoral Researchers Harry Wagstaff Dynamic Binary Translation, Architecture Description Languages, and High Speed Simulation Tom Spink Multi-Core In-Memory Database on a Chip (McDoC) PhD Students Alexandr Maramzim CDT Pervasive Parallelism (MSc stage) Kuba Kaszyk Accurate Simulation of Mobile GPUs Chris Vasiladiotis Parallelisation Using Commutativity Analysis Chad Verbowski Data Center Optimizations Martin Kristien Multi-Core Processor Simulation Former PostDocs and Students Bruno Bodin Yale-NUS Stan Manilov (PhD, 2017) Google, Zrich Analysis and Transformation of Legacy Code Volker Seeker (PhD, 2017) University of Lancaster User Experience Driven CPU Frequency Scaling on Mobile Devices Towards Better Energy Efficiency Tom Spink (PhD, 2016) University of Edinburgh Efficient Cross-architecture Hardware Virtualisation Stephen Kyle (PhD, 2015) ARM Applications of Information Sharing for Code Generation in Process Virtual Machines Harry Wagstaff (PhD, 2015) University of Edinburgh From High Level Architecture Descriptions to Fast Instruction Set Simulators Daniel Powell (PhD, 2015) Lightweight Speculative Support for Aggressive Auto-Parallelisation Tools Joseph Seaton (MSc by Research, 2015) Partial Caching of Code and Heap in a JIT-compiler based Javascript Engine Tobias Edler von Koch (PhD, 2014) Qualcomm Innovation Center Automated Detection of Structured Coarse-Grained Parallelism in Sequential Legacy Applications Igor Bhm (PhD, 2013) Synopsys Speeding Up Dynamic Compilation: Concurrent and Parallel Dynamic Compilation Alastair Murray (PhD, 2012) Virginia Tech Customising Compilers for Customisable Processors Damon Fenacci (PhD, 2012) OneOverZero Compiler-Driven Data Layout Transformations for Network Applications George Tournavitis (PhD, 2011) Intel Research Profile-Driven Parallelisation of Sequential Programs Gordon Parke (MSc by Research, 2010) Cisco ThermOS: An Energy Efficient Real-Time Operating System For An Ultra-low Power Embedded Device Mike Williams (MSc by Research, 2009) Coherent Logix Power-Aware Compiler Design Publications Mostof my publications can be found on either Google Scholar or my ACM author page .However, if you prefer an overview by publication category and in chronological order you may wish to browse through the list below, which I try to keep reasonably up-to-date. Book Chapters Bjrn Franke. C Compilers and Code Optimization for DSPs. In: Shuvra Bhattacharyya, Ed Deprette, Jarmo Takala, and Rainer Leupers (editors): Handbook on Signal Processing Systems , Springer Verlag, New York, 2013. Bjrn Franke. C Compilers and Code Optimization for DSPs. In: Shuvra Bhattacharyya, Ed Deprette, Jarmo Takala, and Rainer Leupers (editors): Handbook on Signal Processing Systems , Springer Verlag, New York, 2010. Nigel Topham, Bjrn Franke, Daniel Jones and Daniel Powell. Adaptive High-speed Processor Simulation. In: Olivier Temam and Rainer Leupers (editors): Processor and System-On-Chip Simulation , Springer Verlag, New York, 2010. Conference Proceedings Bjrn Franke, Youfeng Wu and Fabrice Rastello. Proceedings of the 2016 International Symposium on Code Generation and Optimization (CGO16) , Barcelona, Spain. March 12 18, 2016. Bjrn Franke. Proceedings of the 24th International Conference on Compiler Construction (CC 2015) , Held as Part of the European Joint Conferences on Theory and Practice of Software, ETAPS 2015, London, UK, April 11-18, 2015. Bjrn Franke and Jingling Xue. Proceedings of the SIGPLAN/SIGBED Conference on Languages, Compilers and Tools for Embedded Systems 2013 , LCTES 13, Seattle, WA, USA, June 20-21, 2013. Journal Articles Sajad Saeedi, Bruno Bodin, Harry Wagstaff, Andy Nisbet, Luigi Nardi, John Mawer, Nicolas Melot, Oscar Palomar, Emanuele Vespa, Tom Spink, Cosmin Gorgovan, Andrew Webb, James Clarkson, Erik Tomusk, Thomas Debrunner, Kuba Kaszyk, Pablo Gonzalez-de-Aledo, Andrey Rodchenko, Graham Riley, Christos Kotselidis, Bjorn Franke, Michael F. P. OBoyle, Andrew J. Davison, Paul H. J. Kelly, Mikel Lujan, and Steve Furber. Navigating the Landscape for Real-time Localisation and Mapping for Robotics Virtual and Augmented Reality. Proceedings of the IEEE, 2018. Stanislav Manilov, Bjrn Franke, Anthony Magrath, Cedric Andrieu Free Rider: A Source-Level Transformation Tool for Retargeting Platform-Specific Intrinsic Functions . ACM Transactions on Embedded Computing Systems (TECS), Volume 16, Issue 2, January 2017. Tom Spink, Harry Wagstaff, Bjrn Franke Hardware-Accelerated Cross-Architecture Full-System Virtualization . ACM Transactions on Architecture and Code Optimization (TACO), Volume 13 Issue 4, December 2016. Zheng Wang, Georgios Tournavitis, Bjrn Franke, Michael F. P. OBoyle. Integrating profile-driven parallelism detection and machine-learning-based mapping . ACM Transactions on Architecture and Code Optimization (TACO), Volume 11, Issue 1, February 2014. O. Almer, I. Bhm, T. Edler von Koch, B. Franke, S. Kyle, V. Seeker, C. Thompson, and N. Topham. A Parallel Dynamic Binary Translator for Efficient Multi-Core Simulation . International Journal of Parallel Programming, April 2013, Volume 41, Issue 2, pp 212-235. Alastair Murray and Bjrn Franke. Adaptive Source-Level Data Assignment to Dual Memory Banks . ACM Transactions on Embedded Computing Systems (TECS), Volume 11S, Issue 1, June 2012. Bjrn Franke. Statistical Performance Modeling in Functional Instruction Set Simulators . ACM Transactions on Embedded Computing Systems (TECS), Volume 11S, Issue 1, June 2012. Richard V. Bennett, Alastair Murray, Bjrn Franke and Nigel Topham. Code Transformation and Instruction Set Extensions. ACM Transactions on Embedded Computing Systems (TECS), Vol. 8, Issue 4, July 2009. Bjrn Franke and Michael OBoyle. A Complete Compiler Approach to Auto-Parallelizing C Programs for Multi-DSP Systems. IEEE Transactions on Parallel and Distributed Systems (TPDS), Vol. 16, No. 3, pp 234-245, March 2005. Bjrn Franke and Michael OBoyle. Array Recovery and High-Level Transformations for DSP Applications. ACM Transactions on Embedded Computing Systems (TECS), Vol. 2, Issue 2, pp 132-162, May 2003. Conference Papers Martin Kristien, Tom Spink,Harry Wagstaff, Bjrn Franke, Igor Bhm, and Nigel Topham. Mitigating JIT Compilation Latency in Virtual Execution Environments. To Appear In: Proceedings of the15th ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environments (VEE19),Providence, Rhode Island, USA, 2019. Kuba Kaszyk, Harry Wagstaff, Tom Spink, Bjrn Franke, Mike OBoyle, Bruno Bodin and Henrik Uhrenholt. Full-System Simulation of Mobile CPU/GPUPlatforms. To Appear In: Proceedings of the2019 IEEE International Symposium on Performance Analysis of Systems and Software, Madison, WI, USA, 2019. James Renwick, Tom Spink, and Bjrn Franke. Low-cost Deterministic C++ Exceptions for Embedded Systems. To Appear In:Proceedings of the 2019 International Conference on Compiler Construction (CC19), Washington, DC, USA, 2019. Chad Verbowski, Paolo Costa, Hugh Leather, Bjrn Franke, and Ed Thayer. Right-sizing Server Capacity Headroom for Global Online Services . In: Proceedings of the 38th IEEE International Conference on Distributed Computing Systems (ICDCS), Vienna, 2018. Tobias J.K. Edler von Koch, Stanislav Manilov,Christos Vasiladiotis, Murray Cole, and Bjrn Franke. Towards a Compiler Analysis for Parallel Algorithmic Skeletons . In: Proceedings of the 2018 International Conference on Compiler Construction (CC18), Vienna, 2018. Stanislav Manilov, Christos Vasiladiotis, and Bjrn Franke. Generalized Profile-Guided Iterator Recognition . In: Proceedings of the 2018 International Conference on Compiler Construction (CC18), Vienna, 2018. Harry Wagstaff, Bruno Bodin, Tom Spink and Bjrn Franke. SimBench: A Portable Benchmarking Methodology for Full-System Simulators . In: Proceedings of the International Symposium on Performance Analysis of Systems and Software (ISPASS), 2017. Bruno Bodin, Luigi Nardi, M Zeeshan Zia, Harry Wagstaff, Govind Sreekar Shenoy, Murali Emani, John Mawer, Christos Kotselidis, Andy Nisbet, Mikel Lujan, Bjrn Franke, Paul Kelly and Michael OBoyle. Integrating Algorithmic Parameters into Benchmarking and Design Space Exploration in Dense 3D Scene Understanding . In: Proceedings of the 25th Conference on Parallel Architectures and Compilation Techniques (PACT16), Haifa, Israel, September 11-15, 2016. Tom Spink, Harry Wagstaff, and Bjrn Franke. Efficient Asynchronous Interrupt Handling in a Full-System Instruction Set Simulator . Proceedings of the 2016 Conference on Languages, Compilers, Tools and Theory for Embedded Systems (LCTES16), Santa Barbara, California, USA, June 13-14, 2016. Luna Backes, Alejandro Rico and Bjrn Franke. Experiences in Speeding Up Computer Vision Applications on Mobile Computing Platforms. Proceedings of the International Symposium on Systems, Architectures, Modeling, and Simulation (SAMOS XV), Samos, Greece, July 20-23, 2015. Tom Spink, Harry Wagstaff, Bjrn Franke and Nigel Topham. Efficient Dual-ISA Support in a Retargetable, Asynchronous Dynamic Binary Translator. Proceedings of the International Symposium on Systems, Architectures, Modeling, and Simulation (SAMOS XV), Samos, Greece, July 20-23, 2015. Stanislav Manilov, Bjrn Franke, Anthony Magrath, Cedric Andrieu. Free Rider: A Tool for Retargeting Platform-Specific Intrinsic Functions. Proceedings of the 2015 Conference on Languages, Compilers, Tools and Theory for Embedded Systems (LCTES15), Portland, Oregon, USA, June 18-19, 2015. Stephen Kyle, Hugh Leather, Bjrn Franke, Dave Butcher, Stuart Monteith. Application of Domain-aware Binary Fuzzing to Aid Android Virtual Machine Testing. Proceedings of the 11th ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environments (VEE15), Istanbul, Turkey, March 14-15, 2015. Volker Seeker, Pavlos Petoumenos, Hugh Leather, Bjrn Franke. Measuring QoE of Interactive Workloads and Characterising Frequency Governors on Mobile Devices. Proceedings of the 2014 IEEE International Symposium on Workload Characterization (IISWC15), Raleigh, North Carolina, USA, October 2014. Harry Wagstaff, Tom Spink, Bjrn Franke. Automated ISA Branch Coverage Analysis and Test Case Generation for Retargetable Instruction Set Simulators. Proceedings of the International Conference on Compilers, Architecture, and Synthesis for Embedded Systems (CASES 2014), New Dehli, India, October 2014. Tom Spink, Harry Wagstaff, Bjrn Franke, Nigel Topham. Efficient Code Generation in a Region-Based Dynamic Binary Translator. Proceedings of the ACM SIGPLAN Conference on Languages, Compilers and Tools for Embedded Systems (LCTES 2014), Edinburgh, June 2014. Tobias J.K. Edler von Koch, Bjrn Franke, Pranav Bhandarkar, Anshuman Dasgupta. Exploiting Function Similarity for Code Size Reduction. Proceedings of the ACM SIGPLAN Conference on Languages, Compilers and Tools for Embedded Systems (LCTES 2014), Edinburgh, June 2014. Zheng Wang, Daniel Christopher Powell, Bjrn Franke, Michael F.P. OBoyle. Exploitation of GPUs for the Parallelisation of Probably Parallel Legacy Code. Proceedings of the 23rd International Conference on Compiler Construction (ETAPS CC), 5-13 April 2014, Grenoble, France. Tobias J.K. Edler von Koch and Bjrn Franke. Variability of Data Dependences and Control Flow. Proceedings of the 2014 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS 2014), March 23-25, 2014. Harry Wagstaff and Bjrn Franke. Early Partial Evaluation in a JIT-compiled, Retargetable Instruction Set Simulator Generated from a High-Level Architecture Description. Proceedings of the 50th Design Automation Conference (DAC 2013), Austin, TX, June 2013. Tobias Edler von Koch and Bjrn Franke. Limits of Region-Based Dynamic Binary Parallelization. Proceedings of the 2013 ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environments (VEE13), Houston, TX, March 2013. Alastair Murray and Bjrn Franke. Compiling for Automatically Generated Instruction Set Extensions. Proceedings of the 2012 International Symposium on Code Generation and Optimization . San Jose, US, March 31 April 4, 2012. K.Sundararajan, V.Porpodas, T.Jones, N.Topham and B.Franke. Cooperative Partitioning: Energy-Efficient Cache Partitioning for High-Performance CMPs. Proceedings of the 18th International Symposium on High Performance Computer Architecture (HPCA12), New Orleans, US, February 25-29, 2012. Stephen C. Kyle, Igor Bhm, Bjrn Franke, Hugh Leather, Nigel P. Topham. Efficiently parallelizing instruction set simulation of embedded multi-core processors using region-based just-in-time dynamic binary translation. Proceedings of the Conference on Languages, Compilers, Tools and Theory for Embedded Systems (LCTES12), Beijing, China, June 12-13, 2012. Oscar Almer, Igor Bhm, Tobias Edler von Koch, Bjrn Franke, Stephen Kyle, Volker Seeker, Christopher Thompson and Nigel Topham. Scalable Multi-Core Simulation Using Parallel Dynamic Binary Translation . Proceedings of the International Symposium on Systems, Architectures, Modeling, and Simulation (SAMOS11), Samos, Greece, July 19-22, 2011. Oscar Almer, Miles Gould, Bjrn Franke, Nigel P. Topham. Selecting the Optimal System: Automated Design of Application-Specific Systems-on-Chip. Proceedings of NoCArc@MICRO 2011. Igor Bhm, Tobias Edler von Koch, Bjrn Franke and Nigel Topham. Generalized Just-In-Time Trace Compilation using a Parallel Task Farm in a Dynamic Binary Translator . Proceedings of the ACM SIGPLAN 2011 Conference on Programming Language Design and Implementation (PLDI11), San Jose, CA, June 2011. Oscar Almer, Nigel Topham, and Bjrn Franke. A Learning-based Approach to the Automated Design of MPSoC Networks . Proceedings of ARCS 2011 Architecture of Computing Systems, 22-25 February 2011, Como, Italy. Georgios Tournavitis and Bjrn Franke. Semi-Automatic Extraction and Exploitation of Hierarchical Pipeline Parallelism Using Profiling Information. Proceedings of the International Conference on Parallel Architectures and Compilation Techniques (PACT 10), Vienna, Austria, September 11-15, 2010. Igor Bhm, Bjrn Franke and Nigel Topham. Cycle-Accurate Performance Modelling in an Ultra-Fast Just-In-Time Dynamic Binary Translation Instruction Set Simulator. Proceedings of the International Symposium on Systems, Architectures, Modeling, and Simulation (SAMOS10), Samos, Greece, July 19-22, 2010. Tobias Edler von Koch, Igor Bhm, and Bjrn Franke. Integrated Instruction Selection and Register Allocation for Compact Code Generation Exploiting Freeform Mixing of 16- and 32-bit Instructions. Proceedings of the International Symposium on Code Generation and Optimization (CGO), Toronto, Canada, 2010. Damon Fenacci, Bjrn Franke, and John Thomson. Workload Characterization Supporting the Development of Domain-Specific Compiler Optimizations Using Decision Trees for Data Mining. Proceedings of the 13th International Workshop on Software & Compilers for Embedded Systems, SCOPES, 2010. John Thomson, Michael OBoyle, Grigori Fursin and Bjrn Franke. Reducing Training Time and Calculating Confidence in a Machine Learning-based Compiler. Proceedings of 22nd International Workshop on Languages and Compilers for Parallel Computers (LCPC09), Newark, Delaware, 2009. Daniel Powell and Bjrn Franke. Using Continuous Statistical Machine Learning to Enable High-Speed Performance Prediction in Hybrid Instruction-/Cycle-Accurate Instruction Set Simulators. Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis (CODES-ISSS), Grenoble, 2009. Georgios Tournavitis, Zheng Wang, Bjrn Franke and Michael OBoyle. Towards a Holistic Approach to Auto-Parallelization: Integrating Profile-Driven Parallelism Detection and Machine-Learning Based Mapping. Proceedings of the ACM SIGPLAN 2009 Conference on Programming Language Design and Implementation (PLDI) , Dublin, 2009. Alastair Murray and Bjrn Franke. Using Genetic Programming for Source-Level Data Assignment to Dual Memory Banks. Proceedings of the 3rd Workshop on Statistical and Machine Learning Approaches to Architecture and Compilation (SMART09), Paphos, Cyprus, 2009. Oscar Almer, Richard Bennett, Igor Bhm, Alastair Murray, Xinhao Qu, Marcela Zuluaga, Bjrn Franke, Nigel Topham. An End-to-End Design Flow for Automated Instruction Set Extension and Complex Instruction Selection based on GCC. Proceedings of the First International Workshop on GCC Research Opportunities (GROW09) , Paphos, Cyprus, 2009. Georgios Tournavitis and Bjrn Franke. Towards Automatic Profile-Driven Parallelization of Embedded Multimedia Applications. Proceedings of the 2nd Workshop on Programmability Issues for Multi-Core Computers (MULTIPROG) , Paphos, Cyprus, 2009. Jonathan Frye and Bjrn Franke. PDP Pen Driven Programming . Proceedings of the BCS Human-Computer Interaction (HCI 2008) Conference, September 2008, Liverpool, United Kingdom. Bjrn Franke. Fast Cycle-Approximate Instruction Set Simulation. Proceedings of the Workshop on Software & Compilers for Embedded Systems (SCOPES 2008) , March 2008, Munich, Germany. Alastair Murray and Bjrn Franke. Fast Source-Level Data Assignment to Dual Memory Banks. Proceedings of the Workshop on Software & Compilers for Embedded Systems (SCOPES 2008) , March 2008, Munich, Germany. Shun Long, Grigori Fursin, and Bjrn Franke. A Cost-Aware Parallel Workload Allocation Approach Based on Machine Learning Techniques. Proceedings of the 2007 IFIP International Conference on Network and Parallel Computing (NPC 2007), September 2007, Dalian, China. Richard Bennett, Alastair Murray, Bjrn Franke, and Nigel Topham. Combining Source-to-Source Transformations and Processor Instruction Set Extension for the Automated Design-Space Exploration of Embedded Systems. Proceedings of ACM SIGPLAN/SIGBED 2007 Conference on Languages Compilers, and Tools for Embedded Systems (LCTES 07), June 2007, San Diego, USA. Christophe Dubach, John Cavazos, Bjrn Franke, Michael OBoyle, Grigori Fursin, and Olivier Temam. Fast Compiler Optimisation Evaluation Using Code-Feature Based Performance Prediction. Proceedings of the ACM International Conference on Computing Frontiers, May 2007, Ischia, Italy. Edwin Bonilla, John Cavazos, Bjrn Franke, Michael OBoyle, John Thomson, and Chris Williams. Using Machine Learning to Focus Iterative Optimization. Proceedings of the 4th Annual International Symposium on Code Generation and Optimization (CGO), March 2006, New York, USA. Bjrn Franke, Michael OBoyle, John Thomson, and Grigori Fursin. Probabilistic Source-Level Optimisation of Embedded Programs. Proceedings of the 2005 Conference on Languages, Compilers and Tools for Embedded Systems (LCTES05), June 15 17, 2005, Chicago, IL, USA. Bjrn Franke and Michael OBoyle. Combining Program Recovery, Auto-Parallelisation and Locality Analysis for C Programs on Multi-Processor Embedded Systems. Proceedings of the 11th Workshop on Compilers for Parallel Computers (CPC 2004), July 7 9, 2004, Chiemsee, Germany. Bjrn Franke and Michael OBoyle. Combining Program Recovery, Auto-Parallelisation and Locality Analysis for C Programs on Multi-Processor Embedded Systems. Proceedings of the 12th International Conference on Parallel Architectures and Compilation Techniques (PACT03), September 27 October 01, 2003, New Orleans, Louisiana. Bjrn Franke and Michael OBoyle. Compiler Parallelization of C programs for Multi-core DSPs with Multiple Address Spaces. Proceedings of the 1st IEEE/ACM/IFIP international conference on Hardware/Software Codesign & System Synthesis (CODES-ISSS 2003), October 01 03, 2003, Newport Beach, CA, USA. Bjrn Franke and Michael OBoyle. Array Recovery and High Level Transformations for DSP Applications. Proceedings of the 10th International Workshop on Compilers for Parallel Computers (CPC 2003), January 8-10, 2003, Amsterdam, The Netherlands. Bjrn Franke and Michael OBoyle. An Empirical Evaluation of High Level Transformations for Embedded Processors. Proceedings of the International Conference on Compilers, Architecture and Synthesis for Embedded Systems (CASES), November 16-17, 2001, Atlanta, Georgia, USA. Bjrn Franke and Michael OBoyle. Compiler Transformation of Pointers to Explicit Array Accesses in DSP Applications. In: Reinhard Wilhelm (Ed.), LNCS 2027, pp. 69-85, Proceedings of ETAPS Compiler Construction 2001, April 2-6, 2001, Genova, Italy. Bjrn Franke and Michael OBoyle. Towards Automatic Parallelisation for Multiprocessor DSPs. Proceedings of the 5th International Workshop on Software and Compilers for Embedded Systems (SCOPES), March 20-22, 2001, St. Goar, Germany. Bjrn Franke and Michael OBoyle. Automatic Array Access Recovery in Pointer based DSP Codes. Proceedings of 2nd Workshop on Media Processors and DSPs, 33rd International Symposium on Microarchitecture, December 2000, Monterey, California. Theses Bjrn Franke. Compilation Techniques for High-Performance Embedded Systems with Multiple Processors. Ph.D. Thesis, School of Informatics, University of Edinburgh, 2004. Bjrn Franke. Program Analyses and Transformations Exploiting Parallelism in DSPs. M.Sc. Thesis, Department of Computer Science, University of Edinburgh, 2000. Bjrn Franke. Analysen und Methoden optimierender Compiler zur Steigerung der Effizienz von Speicherzugriffen in eingebetteten Systemen . Diplomarbeit, Fachbereich Informatik, Universitt Dortmund, 1999. Teaching Current Teaching In the session 2018/19 I am teaching both the MSc Informatics Research Review and the MSc Individual Project Proposal . Past Teaching Over the years I have been teaching numerous courses including: Compiling Techniques Compiler Optimisation Distributed Systems Embedded Systems C Programming Concepts and Skills Course Design Together with my colleague Paul Patras I have been designing our new course Internet of Things, Security, and the Cloud. This course is intended to replace our existing Embedded Systems course, which I co-designed with Michael OBoyle several years ago, from 2017/18 onwards. Contact Dr. Bjrn Franke University of Edinburgh School of Informatics Institute for Computing Systems Architecture (ICSA) Email: bfranke@inf.ed.ac.uk Phone: +44 (0) 131 651 7175 Fax: +44 (0) 131 667 7209 Skype: bjoern_franke Postal Address: University of Edinburgh School of Informatics Informatics Forum, Room 1.04 10 Crichton Street Edinburgh EH8 9AB United Kingdom Proudly powered by WordPress diff --git a/src/data/compiled_bios/5372.txt b/src/data/compiled_bios/5372.txt new file mode 100644 index 0000000000..b69f086d3f --- /dev/null +++ b/src/data/compiled_bios/5372.txt @@ -0,0 +1 @@ + University Homepage School Homepage School Contacts School Search Kobi Gal Position Reader in Artificial Intelligence and Human-Machine Roles Member of Centre for Intelligent Systems and their Applications Coordinator of Informatics Distance Education Personal Tutor of Informatics UG Students Project supervision of Honours Project Project supervision of MSc Dissertation Email Address Office,Telephone IF-2.03,+44 (0) 131 651 5657 Publications - Edinburgh Research Explorer Home : People Informatics Forum, 10 Crichton Street, Edinburgh, EH8 9AB, Scotland, UK Tel: +44 131 651 5661, Fax: +44 131 651 1426, E-mail: school-office@inf.ed.ac.uk Database generated page, please contact us with any comments or corrections. Logging and Cookies Unless explicitly stated otherwise, all material is copyright The University of Edinburgh diff --git a/src/data/compiled_bios/5373.txt b/src/data/compiled_bios/5373.txt new file mode 100644 index 0000000000..64df5c6915 --- /dev/null +++ b/src/data/compiled_bios/5373.txt @@ -0,0 +1 @@ + Stephen Gilmore School of Informatics Room 5.21, 10 Crichton Street Edinburgh EH8 9AB Stephen.Gilmore@ed.ac.uk +44 131 650 5189 I am a Professor in the School of Informatics at The University of Edinburgh where I am the chair of Software Systems Modelling. I studied Computer Science at The Queen's University of Belfast, Northern Ireland. After completing my PhD there I moved to The University of Edinburgh to take up a lectureship position. I am a member of the Laboratory for Foundations of Computer Science. My PhD students, past and present. Allan Clark (Completed 2008) Jon Cook (Completed 2005) Dilsun Kirli (Completed 2002) Bruce McAdam (Completed 2002) Dimitrios Milios (Completed 2014) Chris Owens (Completed 1999) Nick O'Shea (Completed 2010) Donal Stewart (Completed 2017) Mirco Tribastone (Completed 2010) Chris Walton (Completed 2001) Natalia Zon I am the School Curriculum Advisory Officer where my role is to help students by granting concessions to allow them to make adjustments to their course selection and/or degree programme. If you believe that you are in need of such a concession please speak to your personal tutor first and ask them to email me a concession request to inf-scao@inf.ed.ac.uk . My most up-to-date list of my publications can be found in DBLP . Open-access final author's copy versions of recent papers can be found on my webpage at Edinburgh Research Explorer . I have two daughters, Martha and Alice. ( Martha and Alice, 2015 ). My late brother, Bob Gilmore, was a musicologist who wrote Harry Partch: A Biography and Claude Vivier: A Composer's Life . (More about Bob Gilmore . More about Harry Partch .) My nephew Benjamin Marquise Gilmore is a classical musician who performs with the Scottish Chamber Orchestra and the Chamber Orchestra of Europe. diff --git a/src/data/compiled_bios/5374.txt b/src/data/compiled_bios/5374.txt new file mode 100644 index 0000000000..8824cc74fe --- /dev/null +++ b/src/data/compiled_bios/5374.txt @@ -0,0 +1 @@ + University Homepage School Homepage School Contacts School Search Dorota Glowacka Position Lecturer in Machine Learning Roles Member of Institute for Language, Cognition and Computation Associate Member of Institute of Perception, Action and Behaviour Deputy Director of Equality and Diversity Personal Tutor of Informatics UG Students Project supervision of Honours Project Project supervision of MSc Dissertation Email Address Office,Telephone IF-3.06A Publications - Edinburgh Research Explorer Home : People Informatics Forum, 10 Crichton Street, Edinburgh, EH8 9AB, Scotland, UK Tel: +44 131 651 5661, Fax: +44 131 651 1426, E-mail: school-office@inf.ed.ac.uk Database generated page, please contact us with any comments or corrections. Logging and Cookies Unless explicitly stated otherwise, all material is copyright The University of Edinburgh diff --git a/src/data/compiled_bios/5375.txt b/src/data/compiled_bios/5375.txt new file mode 100644 index 0000000000..477b3d317a --- /dev/null +++ b/src/data/compiled_bios/5375.txt @@ -0,0 +1 @@ + Skip to content. | Skip to navigation Privacy Policy Search Site only in current section Advanced Search Personal tools Log in You are here: Home Info We're sorry, but that page doesn't exist Please double check the web address or use the search function on this page to find what you are looking for. If you are certain you have the correct web address but are encountering an error, please contact the site administration . Thank you. You might have been looking for ANC | Institute for Adaptive and Neural Computation The Institute for Adaptive and Neural Computation (ANC) is part of the School of Informatics at the University of Edinburgh. We study adaptive processes in ... ANC Seminar: Bob Sturm ANC Seminar: Sarah Wade, Host: Arno Onken ANC Workshop: Cancelled ANC Workshop: Colin Mclean, Chair: Lukas Solanka ANC Workshop: Colin Mclean, Chair: Guido Sanguinetti ANC Workshop: Michael Rule, Chair: Evan Morgan (Cancelled) ANC Workshop: David Sterratt, Chair: Taha Ceritli ANC Seminar: Tim Cannings, Host: Arno Onken Details to follow ANC Workshop: Krzysztof Geras, Chair: Iain Murray ANC Workshop: Gabriele Schweikert, Chair: Yichuan Zhang diff --git a/src/data/compiled_bios/5376.txt b/src/data/compiled_bios/5376.txt new file mode 100644 index 0000000000..e703f60a41 --- /dev/null +++ b/src/data/compiled_bios/5376.txt @@ -0,0 +1 @@ + Sharon Goldwater Professor InstituteforLanguage,CognitionandComputation School of Informatics University of Edinburgh I'm also part of Edinburgh NLP and the Centre for Doctoral Training in Data Science emailme( sgwater )here: inf.ed.ac.uk In my research, I aim to discover the computational processes and constraints that are needed to learn linguistic structure, either in humans or in machines. Main content About me : research interests, biography. Publications : complete list. Resources : software, data, lectures and readings, advice on writing and speaking. Teaching : courses I'm teaching. Supervision : current and former students and postdocs, information for prospective PhD students. Personal : for those who are inclined to be nosy. Recent highlights Inducing a lexicon of sociolinguistic variables from code-mixed text .Philippa Shoemark, James Kirby and Sharon Goldwater. In Workshop on Noisy User-Generated Text at EMNLP 2018 . 2018. (Includes Supplementary Information.) Multilingual bottleneck features for subword modeling in zero-resource languages .Enno Hermann and Sharon Goldwater. In Proceedings of Interspeech . 2018. Self-Representation on Twitter Using Emoji Skin Color Modifiers .Alexander Robertson, Walid Magdy and Sharon Goldwater. In Proceedings of the 12th International AAAI Conference on Web and Social Media (ICWSM) . 2018. Contact information 3.17 Informatics Forum 10 Crichton Street Edinburgh, EH8 9AB United Kingdom +44 131 651 5609 emailme(sgwater)here:inf.ed.ac.uk diff --git a/src/data/compiled_bios/5377.txt b/src/data/compiled_bios/5377.txt new file mode 100644 index 0000000000..89635da689 --- /dev/null +++ b/src/data/compiled_bios/5377.txt @@ -0,0 +1 @@ + University Homepage School Homepage School Contacts School Search Igor Goryanin Position Chair of Systems Biology Roles Associate Member of Centre for Intelligent Systems and their Applications Project supervision of MSc Dissertation Research Interests Systems biology and systems medicine including human biochemical network reconstruction, modelling of complex biological systems, microbial fuel cells and other biotechnology and bioinformatics applications Email Address Office,Telephone IF-4.19A,+44 (0) 131 651 3837 Publications - Edinburgh Research Explorer Home : People Informatics Forum, 10 Crichton Street, Edinburgh, EH8 9AB, Scotland, UK Tel: +44 131 651 5661, Fax: +44 131 651 1426, E-mail: school-office@inf.ed.ac.uk Database generated page, please contact us with any comments or corrections. Logging and Cookies Unless explicitly stated otherwise, all material is copyright The University of Edinburgh diff --git a/src/data/compiled_bios/5378.txt b/src/data/compiled_bios/5378.txt new file mode 100644 index 0000000000..c56829cf2f --- /dev/null +++ b/src/data/compiled_bios/5378.txt @@ -0,0 +1 @@ + Boris Grot Home Home Publications CV Contact boris.grot@ed.ac.uk +44 131 650 5123 University of Edinburgh School of Informatics Informatics Forum 2.04A 10 Crichton Street Edinburgh EH8 9AB, UK Boris Grot , Reader (Associate Professor) School of Informatics University of Edinburgh Research Interests: System architectures for datacenters Processor architecture and microarchitecture Memory systems and interconnection networks Systems with quality-of-service guarantees About: I am an Associate Professor (Reader, in UK parlance) in the School of Informatics at the University of Edinburgh. My work focuses on improving the efficiency of large-scale datacenters (think Google or Facebook) through improvements to server processor architectures, memory systems, and interconnects. To understand why this is important, read below . Previously, I was a post-doctoral researcher at the Parallel Systems Architecture Lab at EPFL, working on Scale-Out Processors and other fun projects. I did my PhD in Computer Science at The University of Texas at Austin. My thesis focused on scalability and quality-of-service in on-chip networks of highly-integrated processor chips. Why datacenters (and my research) matter? As mobile computing and cyber-physical systems displace traditional forms of computing, datacenters will shoulder the data-crunching burden. There are three reasons for the growing reliance on datacenters. First, mobile and embedded systems are inherently constrained in their processing capabilities due to limitations of battery technology, low thermal ceilings, and form factor considerations. Second, the important applications of today (e.g., search, social networking, business analytics) draw on enormous volumes of data and have massive processing requirements that are well beyond the reach of individual servers. Last, businesses of all sizes are increasingly moving their applications to the cloud for reasons of scalability, resiliency, and operational efficiency. A modern datacenter is a football-field sized installation that houses tens of thousands of servers, draws 5-20 MW of power, and costs over $100 million to deploy. A 2010 study estimated the global datacenter energy footprint at 1.3% of the world-wide usage. This number is widely expected to grow considerably in the coming decade due to the rapid pace of deployment of new datacenters and the developing world coming online. Energy scalability of datacenters is an important problem with major economic and environmental implications. As the semiconductor industry inches toward the physical limits of voltage scaling, improvements in energy-efficiency of future chips will require much more effort than in the past. The same is true for conventional memories and networking technologies used in datacenters. The time is right to re-invent server architectures by specializing processor chips, memory hierarchy, and networks for tomorrows datacenter computing. Current PhD openings: If you are a student interested in working on exciting problems at the cross-roads of architecture, systems, and big data, please read this . Recent Jan 2019: Stretch is nominated for the Best Paper Award at HPCA 2019! Nov 2018: Our idea paper on accelerating virtual address translation via learned indexes will be presented at Workshop on ML for Systems at NIPS, 2018. Nov 2018: How does one reconcile throughput and quality-of-service on a multi-threaded core running colocated server workloads? Stretch shows the way! Appearing in HPCA 2019. Sep 2018: Amna Shahab, a 3rd-year PhD student in our lab, received the Best Poster award at this year's ARM Research Summit! Jul 2018: Our upcoming MICRO 2018 paper makes the case for all-private cache hierchies for server CPUs. Say good-bye to shared last-level caches! Jun 2018: Promoted to an Associate Professor (aka Reader in British academic parlance). Jan 2018: Aggressive replication, strong consistency guarantees and high throughput in a scale-out cluster are not mutually exclusive. Surpised? Read our EuroSys 2018 . June 2017: Shotgun revolutionizes control flow delivery for server processors. Appearing at ASPLOS 2018. Sep 2017: Oracle has generously supported our research on scale-up graph processing for future memory systems. June 2017: Our work on variability-aware cache management will appear at PACT 2017. May 2017: Leeway has been selected to compete in the Cache Replacement Championship in June. Apr 2017: The Mondrian Data Engine will engage at ISCA 2017. Oct 2016: Boris has been inducted into the MICRO Hall of Fame! Oct 2016: Boomerang accepted to HPCA 2017. It shows how to design a high-performance core front-end without costly metadata - great news for server processors! June 2016: Two papers accepted to MICRO 2016. May 2016: Our paper debunking the usefulness of dead block prediction for last-level caches will appear in WDDD. May 2016: Fat Caches for Scale-Out Servers has been accepted for publication in IEEE Micro. Mar 2016: The IEEE Micro Special Issue on Near-Data Processing , which I guest co-edited, is now available. Oct 2015: Asynchronous Memory Access Chaining will appear in VLDB 2016. Sep 2015: Confluence: Unified Instruction Supply for Scale-Out Servers will appear in MICRO 2015. May 2015: Sort vs. Hash Join Revisited for Near-Data Execution will appear in ASBD 2015. Mar 2015: Manycore Network Interfaces for In-Memory Rack-Scale Computing accepted to ISCA 2015! Dec 2014: Our Workshop on Near-Data Processing (WoNDP) was hugely successful at this year's MICRO with over 100 people in attendance! Sep 2014: Bulk Memory Access Prediction and Streaming accepted to MICRO 2014! Sep 2014: The IEEE Micro Special Issue on Big Data , which I guest co-edited, is now available. Aug 2014: Recipient of the Google Faculty Research Award. Apr 2014: Serving on the ASPLOS , MICRO , and HPCA program committees. Please consider submitting to these top venues in computer systems research. Dec 2013: Meet the Walkers gets Best Paper Runner-Up kudos at MICRO! diff --git a/src/data/compiled_bios/5379.txt b/src/data/compiled_bios/5379.txt new file mode 100644 index 0000000000..6703b03d85 --- /dev/null +++ b/src/data/compiled_bios/5379.txt @@ -0,0 +1 @@ + Paolo Guagliardo About Publications Teaching Lecturer in Databases University of Edinburgh School of Informatics Informatics Forum Office 5.11 10 Crichton Street EH8 9AB Edinburgh (UK) DOT AT ed DOT ac DOT uk +44 (0) 131 651 7084 My research work lies at the intersection of database theory and practice, with a strong emphasis on making theoretical results applicable in real-life systems. I am a co-Investigator in the EPSRC Programme Grant VADA: Value Added Data Systems ; my current focus is on devising and implementing principled and practical solutions for dealing with incomplete information in relational database systems, and on the analysis of concrete query languages for graph databases (in cooperation with Neo Technology ). I obtained a PhD in Computer Science from the Free-University of Bozen-Bolzano , a joint MSc degree in Computational Logic from the Vienna University of Technology and the Free-University of Bozen-Bolzano, and a BSc degree in Computer Engineering from the University of Palermo . Invited talks & tutorials Tutorial on Query Answering (jointly with Pablo Barcel ) EDBT Summer School 2017 , Genova (Italy), 4-8 September 2017. Invited talk: Correct Answers to SQL Queries on Databases with Nulls Fifth GT-Verf annual meeting , Universit Paris-Est Crteil (France), 30 May 2017. Invited talk: Formal Semantics of SQL (and Cypher) First openCypher Implementers Meeting , SAP Headquarters, Walldorf (Germany), 8 February 2017. Invited seminar: Making SQL Queries Correct on Incomplete Databases KRDB Research Centre for Knowledge and Data , Free University of Bozen-Bolzano (Italy), 6 December 2016. Professional activities Programme Committee member in AAAI2019 , ICDT2019 , ICDE2018 , AMW2017 Publicity Chair for PODS2017 Reviewer for TODS , TKDE , IS , LMCS , PODS'19 , PODS'17 , PODS'16 , AAAI-15 diff --git a/src/data/compiled_bios/538.txt b/src/data/compiled_bios/538.txt new file mode 100644 index 0000000000..f097e26d9f --- /dev/null +++ b/src/data/compiled_bios/538.txt @@ -0,0 +1 @@ +Michael Franklin Liew Family Chair of Computer Science Senior Advisor to the Provost for Computation and Data Science Chairman, Department of Computer Science Email: mjfranklin@uchicago.edu Phone: (773) 702-1493 Office: JCL 219 Research: big data, databases, distributed and streaming database technology, systems Biography MICHAEL J. FRANKLIN is the inaugural holder of the Liew Family Chair of Computer Science. An authority on databases, data analytics, data management and distributed systems, he also serves as senior advisor to the provost on computation and data science. Franklin most recently was the Thomas M. Siebel Professor of Computer Science and chair of the Computer Science Division of the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley, where he currently is an Adjunct Professor. He co-founded and directs Berkeleys Algorithms, Machines and People Laboratory (AMPLab), a leading academic big data analytics research center, The AMPLab won a National Science Foundation CISE "Expeditions in Computing" award, which was announced as part of the White House Big Data Research initiative in March 2012, and has received support from over 30 industrial sponsors. AMPLab has created industry-changing open source Big Data software including Apache Spark and BDAS, the Berkeley Data Analytics Stack. At Berkeley he also served as an executive committee member for the Berkeley Institute for Data Science, a campus-wide initiative to advance data science environments. An energetic entrepreneur in addition to his academic work, Franklin founded and became chief technology officer of Truviso, a data analytics company acquired by Cisco Systems. He serves on the technical advisory boards of various data-driven technology companies and organizations. Franklin is a Fellow of the Association for Computing Machinery and a two-time recipient of the ACM SIGMOD (Special Interest Group on Management of Data) Test of Time award. His many other honors include the outstanding advisor award from Berkeleys Computer Science Graduate Student Association. He received the Ph.D. in Computer Science from the University of Wisconsin in 1993, a Master of Software Engineering from the Wang Institute of Graduate Studies in 1986, and the B.S. in Computer and Information Science from the University of Massachusetts in 1983. diff --git a/src/data/compiled_bios/5380.txt b/src/data/compiled_bios/5380.txt new file mode 100644 index 0000000000..9ac8200663 --- /dev/null +++ b/src/data/compiled_bios/5380.txt @@ -0,0 +1 @@ + Home Research Teaching CV Heng Guo Informatics Forum, 5.05A 10 Crichton Street Edinburgh, EH8 9AB email: hguo AT inf ed ac uk About Me I am a lecturer in algorithms and complexity in the School of informatics , University of Edinburgh. My research interest lies in theoretical computer science. I am particularly interested in mapping the complexity of counting problems. Typical problems include computing marginal probabilities and expectations of random variables, the evaluation of partition functions, etc. During this journey I inadvertently made some progress to understand the power of various algorithms, exact and approximate, deterministic and randomized alike. Often we ask: this algorithm works in practise, but does it work in theory? For a list of publications, see the research page (with pdfs and slides, if available). LFCS Seminars I am organizing the LFCS seminar series. Send me an email if you want to give a talk! Some Research Computational Complexity Classifications A Holant Dichotomy: Is the FKT Algorithm Universal? (with Jin-Yi Cai , Zhiguo Fu , and Tyson Williams ), FOCS 2015 A Complete Dichotomy Rises from the Capture of Vanishing Signatures (with Jin-Yi Cai and Tyson Williams ), SIAM J. Comput. 45(5), 1671-1728, 2016 The goal of computational complexity is to understand the intrinsic difficulty of various problems. Instead of looking at individual problems or asking overly broad questions, we turn to problems within certain expressive yet specific frameworks. The Holant framework, inspired by the seminal work of Valiant on holographic algorithms, is among the most expressive ones. One way to formulate the Holant is to evaluate the contraction of a given tensor network. In the two papers listed above, we establish complete classifications in both the general and planar settings, for the symmetric constraint functions (or tensors). Rapid Mixing of Random Cluster Dynamics Random Cluster Dynamics for the Ising Model is Rapidly Mixing (with Mark Jerrum ), Ann. Appl. Probab. 28(2), 1292-1313, 2018 On the random cluster model at q = 2, we establish a mixing time upper bound for the Glauber dynamics that is polynomial in the size of the underlying graph. This result, through a comparison result of Ullrich (2014), implies that the Swendsen-Wang (1987) algorithm for ferromagnetic Ising models is always rapidly mixing, which has been conjectured by Sokal in 1990s. Note that our bound is much larger than the conjectured optimal upper bound O(n^0.25) due to Peres. Uniform Sampling and the Lovsz Local Lemma Uniform Sampling through the Lovsz Local Lemma (with Mark Jerrum and Jingcheng Liu ), J. ACM A polynomial-time approximation algorithm for all-terminal network reliability (with Mark Jerrum ), SIAM J. Comput (also won the best paper award in ICALP 2018 ) The Lovsz Local Lemma is a classical gem in combinatorics to show the existence of perfect objects under dependency conditions. The local lemma is made algorithmic by Moser and Tardos (2010), showing that one can find a perfect object efficiently under the same conditions. However, it is still not clear how to generate these perfect objects uniformly at random. We showed that for extremal instances, the output of the Moser-Tardos algorithm is in fact uniform over all perfect objects. Furthermore, we found a new variant, called partial rejection sampling, whose output is guaranteed to be from the desire distribution, and with faster running time than rejection sampling. Using this new framework, we manage to confirm a conjecture of Gorodezky and Pak (2014). This leads to the first polynomial-time approximation algorithm for all-terminal network reliability, which is an open problem since 1980s, and is explicitly mentioned by, for example, Welsh (1993). Misc Apparently, Edinburgh is a good place for counting. (Picture shot on W Nicolson St.) In my spare time, I enjoy video games a lot. In some distant past, I even play competitively. (See e.g. here and here .) Last updated Feb 04 2019. 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Gutmann Senior Lecturer in Machine Learning | Institute for Adaptive & Neural Computation | School of Informatics | University of Edinburgh I have published on topics related to likelihood-free inference approximate Bayesian computation estimation of unnormalised models unsupervised machine learning natural image statistics computational neuroscience infectious disease epidemiology Entry on University of Edinburghs Research Explorer News Oct 24, 2018 Three new papers on arXiv: Dynamic likelihood-free inference via ratio estimation , Efficient Bayesian Experimental Design for Implicit Models , Variational Noise-Contrastive Estimation Sep 16, 2018 New paper in Bayesian Analysis: Efficient acquisition rules for model-based approximate Bayesian computation Jul 26, 2018 New JMLR paper ELFI: Engine for likelihood-free inference Jun 24, 2018 Workshop on approximate Bayesian computation in Edinburgh Jun 13, 2018 New ICML paper Conditional Noise-Contrastive Estimation of Unnormalised Models Jun 11, 2018 Added a note about typos in Eq 3 and 41 in Bayesian optimization for likelihood-free inference , JMLR 2016 Last updated: 30 Nov 2018. Powered by Jekyll with al-folio and Jekyll-Scholar . Copyright 2018 Michael U. Gutmann. diff --git a/src/data/compiled_bios/5382.txt b/src/data/compiled_bios/5382.txt new file mode 100644 index 0000000000..d6df73d0f2 --- /dev/null +++ b/src/data/compiled_bios/5382.txt @@ -0,0 +1 @@ + University Homepage School Homepage School Contacts School Search Kenneth Heafield Position Lecturer Roles Member of Institute for Language, Cognition and Computation Personal Tutor of Informatics UG Students Project supervision of Honours Project Email Address Office,Telephone IF-4.21,+44 (0) 131 650 2871 Publications - Edinburgh Research Explorer Home : People Informatics Forum, 10 Crichton Street, Edinburgh, EH8 9AB, Scotland, UK Tel: +44 131 651 5661, Fax: +44 131 651 1426, E-mail: school-office@inf.ed.ac.uk Database generated page, please contact us with any comments or corrections. Logging and Cookies Unless explicitly stated otherwise, all material is copyright The University of Edinburgh diff --git a/src/data/compiled_bios/5383.txt b/src/data/compiled_bios/5383.txt new file mode 100644 index 0000000000..5adf48fdeb --- /dev/null +++ b/src/data/compiled_bios/5383.txt @@ -0,0 +1 @@ + Matthias H Hennig Navigation Contact Home Research Group Herding Spikes Publications Teaching Various Matthias H Hennig Reader, Computational Neuroscience and Neuroinformatics Institute for Adaptive and Neural Computation School of Informatics University of Edinburgh News HS2 - herding spikes at scale Read More More Articles Two new papers: analysis of large scale microelectrode array recordings Funded PhD studentship in 2P imaging and data analysis available Google fellowship for Martino Sorbaro More Made with Jekyll based on Feeling Responsive . diff --git a/src/data/compiled_bios/5384.txt b/src/data/compiled_bios/5384.txt new file mode 100644 index 0000000000..c0210d7425 --- /dev/null +++ b/src/data/compiled_bios/5384.txt @@ -0,0 +1 @@ + University Homepage School Homepage School Contacts School Search Michael Herrmann Position Lectureship in Robotics Roles Associate Member of Institute for Adaptive and Neural Computation Member of Institute of Perception, Action and Behaviour Deputy Director of CDT in Robotics & Autonomous Systems [2014-22] Personal Tutor of Informatics MSc Students Project supervision of Honours Project Project supervision of MSc Dissertation Research Interests Autonomous Robots, Robot Swarms, Biorobotics, Prosthetics, Computational Neuroscience, Self-Organised Criticality, Neural Avalanches, Neural Fields, Self-Organising Maps, Metaheuristic Optimisation, Cognitive Psychology, Biomedical Data Processing Email Address Office,Telephone IF-1.42,+44 (0) 131 651 7177 Publications - Edinburgh Research Explorer Personal Page Home : People Informatics Forum, 10 Crichton Street, Edinburgh, EH8 9AB, Scotland, UK Tel: +44 131 651 5661, Fax: +44 131 651 1426, E-mail: school-office@inf.ed.ac.uk Database generated page, please contact us with any comments or corrections. Logging and Cookies Unless explicitly stated otherwise, all material is copyright The University of Edinburgh diff --git a/src/data/compiled_bios/5385.txt b/src/data/compiled_bios/5385.txt new file mode 100644 index 0000000000..ea7bbf955b --- /dev/null +++ b/src/data/compiled_bios/5385.txt @@ -0,0 +1 @@ + Chris Heunen Senior Research Fellow Quantum Informatics School of Informatics University of Edinburgh Edinburgh EH8 9AB chris.heunen@ed.ac.uk News About Research Teaching diff --git a/src/data/compiled_bios/5386.txt b/src/data/compiled_bios/5386.txt new file mode 100644 index 0000000000..663bba06b1 --- /dev/null +++ b/src/data/compiled_bios/5386.txt @@ -0,0 +1 @@ + Robin L. Hill L anguage - U sability - V ision - N europolitics Informatics, eye movements and multimodal interaction with a human (in) mind. Bio Publications Conferences and Talks Projects Resources Language Usability Vision background I'm a cognitive scientist (the dark-side of psychology) at the University of Edinburgh with a joint appointment across two schools and colleges, proving that multidisciplinary work is possible despite being a nightmare for the university administrative structure. I'm based in both the Institute for Language, Cognition and Computation (School of Informatics, College of Science & Engineering) and Politics and International Relations (School of Social and Political Science, College of Humanities and Social Science). [I'm also aware that I've neglected updating these pages and so I am preparing an overhaul.] Current roles: Lecturer in Cognitive Science Lab manager for the Neuropolitics Research Laboratory Lab supervisor for the Joint Eye-tracking Laboratory (JEL) Acting Co-Director of the Centre for Design Informatics (along with Chris Speed ) Personal Tutor of Informatics MSc Students In the emerging discipline of Neuropolitics, I'm the lab manager for the Neuropolitics Reseach Labs, a new facility at Edinburgh opened in 2016 under the direction of Laura Cram (Professor of European Politics). Recently, our focus has been the ESRC programme " The UK in a Changing Europe ". This was primarily concerned with examining public attitudes to the European Union in the run up to the EU referendum due which took place in the UK on 23 June 2016. My part involved analysing the facial coding of people watching political and contemporary audio-visual media. Basically, facial expressions are a great indicator of your emotional engagement and affective responses to stimuli. This work is in collaboration with CrowdEmotion and you can try out an example yourself (webcam required). Why not get involved and be part of the debate about EU membership? Tweet images, cartoons, videos, and comments that capture your image of the EU to @myimageoftheEU using the hashtag #myimageoftheEU and become part of our Twitter gallery. Hopefully, the ESRC is going to provide some follow-up funds soon. Naturally enough, the NRLabs focus now has shifted towards the Brexit process, issues of identity, implications for Scotland (indyref2) and the whole business of fake news, information provenance, trust and "filter bubbles". You can hear about the NRLabs on BBC Radio 4: Brexit: A Guide for the Perplexed - Can Scotland do Brexit differently? [ http://www.bbc.co.uk/programmes/b08dnwrf ] and Analysis - How Voters Decide [ http://www.bbc.co.uk/programmes/b08ff18d ]. Under the general remit of the Human Communication Research Centre , I specialise in Human-Machine Interaction (robots, virtual agents, computer interfaces), multimodal communication and technology use for the older population. This covers a range of psychological aspects, including social interaction and cognition, audio-visual perception, communication, language processing, joint action and ageing (young and old).A substantial amount of my life is spent analysing peoples eye movements while they read, interact with technology, or engage in dialogue and co-operative actions. The purpose?To unravel the mysteries of human cognition while simultaneously improving the efficiency, interfaces and design of computer systems. There is little chance of me having to retire early. I'm also collaborating with the Aberdeen Biomedical Imaging Centre and the Centre for Rural Health to investigate the links between use of Information Technology and cognitive reserve in older adults (using the 1936 Aberdeen Birth Cohort). An extension of my Design Informatics work, I spent a lot of time gathering biometric, physiological and neuro data for the Harmonium Project: the grand opening of the 2015 Edinburgh International Festival. Working with 59 Productions , I monitored members of the Festival Chorus while they sang (eye-tracking, EEG, heart rate, ultrasound and motion). This was then visualised and projected onto the outside of the Usher Hall during the performance of John Adams's Harmonium. You can read my blog article on the Edinburgh International Festival website . 59 Productions returned for Deep Time , celebrating Edinburgh's geoscience rather than neuroscience last year. I also teach Case Studies in Design Informatics 1 & 2, core modules in the Design Informatics Masters programme that spans the School of Informatics and the Edinburgh College of Art. Previous major multinational and multidisciplinary projects include generating and analysing real-world navigation dialogues between a human and a virtual guide via a mobile phone app ( SPACEBOOK ) and the cognitive modelling and analysis of professional translators ( CASMACAT ).I've also investigated cooperative joint action and multimodal communication for Human-Robot Interaction ( JAST ); over in Psychology I worked on Dynamic Images and Eye Movements (DIEM), the aim of which was to model visual attention over moving, real-world stimuli. Acronyms are a big part of research (or getting funding anyway). Recently I've become interested in (cyber) security, particularly "usable" security and human factors. The old adage about the human being the weakest link in any security system remains true. For me, this combines issues of basic Human-Computer Interaction (HCI) design, human memory and attention, along with establishing trust, comfort and confidence (factors that also have strong political connotations). Plus, of course, the flip-side: how to prevent trust, comfort and confidence from being exploited/abused (i.e. risk assessment in a digital environment). This is especially true for the youngest technology adopters/users and ties in with the interest of the Learning and Adaptive Environments Research Lab (LAERLab). With experience of working for psychology and computing departments at both Edinburgh and Dundee, I'm used to working on multidisciplinary projects, as well as teaching courses and supervising students in psychology, computing, linguistics, politics, business studies and art/design. Ive organised international conferences, co-edited the book Eye Movements: A Window on Mind and Brain and try to find time to write up as much of my research as possible. As well as being involved in several multinational EU projects, I have previously been funded by the Leverhulme Trust, the ESRC, IBM and have collaborated with Fujitsu.For my sins, I'm the Lab Supervisor for the Joint Eye-tracking Laboratory in the basement of the Informatics Forum and manage the brand new Neuropolitics Research Laboratory. You can follow NRLabs on Facebook, Twitter @neuropols #NRLabs, blog and Storify . I've also had some fun with conductive gel (having helped set up a combined BioSemi EEG and EyeLink eye-tracking facility in the Electrophysiology Suite in Psychology). Academic qualifications: B.Sc. (Hons) Logic & Philosophy of Science Statistics M.Phil. Cognitive Science Ph.D. Psychology Binge researching (defined by Arnt Lykke Jakobsen in his exaugural), cynicism, poverty and self-abuse. Academic Link / Quote of the moment: "ICTs [information and communication technologies] are great in making information available; they are less successful in making it accessible, and even less so in making it usable." Floridi, Luciano (2013). E-ducation and the languages of information. Philosophy & Technology, 26(3), 247-251. doi: 10.1007/s13347-013-0124-9 . An example of how technology accessibility can lead to non-native language preference despite cultural differences. How Georgians have abandoned their (vigesimal) number system in favour of Russian - at least for mobile phone numbers: Sherouse, Perry (2014). Hazardous digits: Telephone keypads and Russian numbers in Tbilisi, Georgia. Language & Communication, 37, 1-11. doi: 10.1016/j.langcom.2014.03.001 . A window into the future Well, this is perhaps stretching the concept of Human Robot Interaction a bit far, and it doesn't even involve language, but it is a nicely produced video demonstrating human and robot sword skills, so what's not to like? Virtual Existence Affiliations and Links Politics and International Relations (PIR) Institute for Language, Cognition and Computation (ILCC) Neuropolitics Research Laboratory (NRLabs) Human Communication Research Centre (HCRC) Design Informatics (DI) Learning and Adaptive Environments Research Lab (LAERLab) Security and Privacy (Social Informatics, Privacy and Trust) Joint Eye-tracking Laboratory (JEL) EdNeuro-ECA Collaborative Dynamic Images and Eye Movements (DIEM) Spatial & Personal Adaptive Communication Environment: Behaviours & Objects & Operations & Knowledge (SPACEBOOK) Cognitive Analysis and Statistical Methods for Advanced Computer Aided Translation (CASMACAT) 2017 Events British Media, EU Membership and the Referendum [Invited speaker on panel: media, technology and youth engagement], The Shard, London, UK, 19 January 2017 Neuropolitics Design Informatics Collider [workshop], Evolution House, Edinburgh, UK, 17 March 2017 European Union Studies Association (EUSA) Fifteenth Biennial Conference [Paper: Face Emotion Coding and Audio-Visual Information Processing in UK Brexit Debate], Miami, Florida, US, 4-6 May 2017 24th International Conference of Europeanists (CES) [Session: Transformative Methods for Understanding a Transforming Union: Experimental and Big data Approaches; paper: Processing Audio-Visual Information on Immigration: A Face-Emotion Coding Approach], Glasgow, UK, 12-14 July 2017 2016 Events Architectures and Mechanisms for Language Processing , Bilbao, Spain, 1-3 September 2016 The EU: Time to Decide [The Territorial Dimension of the EU Referendum Debate], Queen Elizabeth II Conference Centre, London, 10 June 2016 Understanding What the European Union Means to You: Neuropolitics, Behaviour and Identity [NRLabs public event], National Library of Scotland, Edinburgh, 9 May 2016 Edinburgh Neuroscience Day [Exhibit: "Between"], Edinburgh, 30 March 2016 Neuropolitics Research Lab opening event , Edinburgh, 25 February 2016 2015 Events FUSION seminar [Harmonium Project talk], Edinburgh, 22 October 2015 Architectures and Mechanisms for Language Processing [programme committee], Malta, 3-5 September 2015 The Harmonium Project [psycho- and bio-physical data], Edinburgh International Festival, 7 August 2015 British Neuroscience Association Festival of Neuroscience [presentation], Edinburgh, 12-15 April 2015 2014 Events Architectures and Mechanisms for Language Processing [AMLaP XX], Edinburgh, 3-6 September 2014 RefNet Summer School on Psychological and Computational Models of Language Production [eye-tracking methods], Edinburgh, 24-31 August 2014 Eye Movements: A Window on Mind and Brain [Invited public lecture], Grassmarket, Edinburgh, 2 June 2014 Interactive Language Learning, Visualization, and Interfaces [programme committee] Workshop at the 52nd Annual Meeting of the Association for Computational Linguistics , Baltimore, USA, 22-27 June 2014 Human in the Loop: Workshop on Humans and Computer-asisted Translation [HaCaT 2014] [co-organiser] Workshop at the 14th Conference of the European Chapter of the Association for Computational Linguistics [EACL 2014], Gothenburg, Sweden, 26-30 April 2014 Contact Robin Hill Room 4.25, Informatics Forum School of Informatics, University of Edinburgh 10 Crichton Street Edinburgh EH8 9AB +44 (0) 131 650 4426 -- OR -- Neuropolitics Research Lab School of Social and Political Science, University of Edinburgh Room 2.03 Flat 2F2 18 Buccleuch Place Edinburgh EH8 9LN +44 (0) 131 650 6634 Wordle Links back to this page bit.ly/robinhill www.robin.org.uk www.cognitive.me.uk Default Informatics profile: www.inf.ed.ac.uk/people/staff/Robin_Hill.html diff --git a/src/data/compiled_bios/5387.txt b/src/data/compiled_bios/5387.txt new file mode 100644 index 0000000000..44ed8554bd --- /dev/null +++ b/src/data/compiled_bios/5387.txt @@ -0,0 +1 @@ + Jane Hillston's home page I am Professor of Quantitative Modelling in the School of Informatics within the College of Science and Engineering at the University of Edinburgh . I am a Fellow of the Royal Society of Edinburgh. I am currently Director of Research and Deputy Head of School. I am a member of the Board of Informatics Europe and chair of the Informatics Europe working group on Women in Informatics Research and Education . I am a member of the LFCS (Laboratory for Foundations of Computer Science) in the School of Informatics. I am coordinator for the QUANTICOL project which is funded as part of the FET-Proactive FOCAS Programme In 2004 I was the recipient of the first Roger Needham award . brief CV research interests recent publications recent presentations PEPA Bio-PEPA 20th--24th June 2016 the QUANTICOL project organised a summer school in Bertinoro, Italy. This will be 16th International School on Formal Methods for the Design of Computer, Communication and Software Systems: Quantitative Evaluation of Collective Adaptive Systems . Look here for information about applying to study for a PhD in Informatics at Edinburgh. We currently have fully-funded places in two EPSRC-funded CDTs in Pervasive Parallelism and Data Science , and some of my research topics coincide with these areas. Personal Information and Picture Here is a recent picture of me . I am married with two daughters and live in Edinburgh. Jane Hillston ( Jane.Hillston@ed.ac.uk ) LFCS, School of Informatics, Informatics Forum, 10 Crichton Street, University of Edinburgh, Edinburgh EH8 9AB, UK. (+44) 0131-650-5199 diff --git a/src/data/compiled_bios/5388.txt b/src/data/compiled_bios/5388.txt new file mode 100644 index 0000000000..ead6b2eb82 --- /dev/null +++ b/src/data/compiled_bios/5388.txt @@ -0,0 +1 @@ + Dr. T. Hospedales Home About Publications Research Group Code & Datasets Teaching Dr. Timothy Hospedales Reader (Associate Professor) Turing Fellow, Alan Turing Institute (ATI) Institute of Perception, Action and Behaviour (IPAB) School of Informatics The University of Edinburgh t.hospedales at ed.ac.uk I am a Reader within IPAB in the School of Informatics at the University of Edinburgh, where I head the Machine Intelligence Research group; Turing Fellow of the Alan Turing Institute; and Visiting Reader at Queen Mary University of London. Previously I was Senior Lecturer/Lecturer ('12-16) at QMUL within the Risk and Information Management (RIM) group and Centre for Intelligent Sensing , where I founded the Applied Machine Learning Lab. I recieved my PhD in Neuroinformatics from Edinburgh in 2008, working with Sethu Vijayakumar in the Statistical Machine Learning and Motor Control group, and my BA in Computer Science from the University of Cambridge in 2002. My research focuses on machine learning, particularly life-long transfer and active learning, with both probabilistic and deep learning approaches. I have looked at a variety application areas including computer vision (behaviour understanding, person re-identification, attribute and zero-shot learning), vision and language, robotics, sensor fusion, computational social sciences, theoretical neuroscience and business data analytics. News 05/2014: EPSRC First Grant Awarded 07/2014: 2 papers on Open World Re-identification 01/2015: EU Horizon 2020 Grant DREAM awarded 05/2015: UAI 2015 paper on Bayesian Net transfer! 07/2015: BMVC 2015: Our Sketch recognition CNN is the first to surpass human performance, wins Best Science Paper prize! 03/2016: Three CVPR'16 papers accepted including one Oral! 09/2016: Paper at EMNLP'16: Distribution based Zero-Shot 11/2016: Paper in AAAI'17: Guaranteeing rationality in neural networks! 01/2017: Deep Multi-task learning in ICLR'17! 04/2017: Transfer learning for Control paper accepted in IJCAI'17! 07/2017: Three papers accepted to ICCV'17! 10/2017: Program co-chair of BMVC2018! 11/2017: EPSRC ORCA Hub in Robotics and AI awarded! 11/2017: Paper at AAAI'18: Meta-learning for domain generalization! 02/2018: Nine papers accepted at CVPR'18! 07/2018: Our Meta Learning Active Learning paper awarded Best Paper Prize at ICML AutoML'18! 07/2018: Three papers accepted at ECCV'18! 08/2018: Congratulations Kunkun Pang, Dynamic Ensemble Active Learning wins Best Student Paper Award @ ICPR2018! 11/2018: AAAI-19 paper accepted: transfer learning with disjoint label space 08/2016: Co-chairing BMVA symposium on Transfer Learning in Computer Vision 09/2016: Guest Editor - IET CV - Special Issue on Deep Learning for Computer Vision 10/2016: Keynote on transfer learning with paramaterised tasks and domains at ECCV 2016 TASK-CV workshop ! 10/2016: Giving the zero-shot learning part of ACM Multimedia '16 tutorial Emerging topics in learning from noisy and missing data . 10/2017: Program co-chair of BMVC 2018 11/2017: Hiring one 3.5yr Postdoc on Machine Learning for Robotics & AI. Closing date: 14th Dec 2017. Advert . Apply . 03/2018: Keynote at Vision & Language Conference . 03/2018: Talk on sanity guarantees for deep learning at Deep Learning in Finance Summit London 2018 . 09/2018: Hiring a postdoc research associate on deep learning , 2.5yr post, international applicants welcome. Closing date 4th October 2018. Apply . Sample code for active learning & discovery (PAKDD'11,TKDE'11,ECCV'12) Unsegmented sports news dataset available (ICDM'11). Includes reference extracted STIP features and ground-truth multi-label annotation. Sample code for MCTM (ICCV'09, IJCV'11) and WSJTM (ACCV'10, PAMI'11) Attribute Dataset for Heterogeneous Face Recognition (ACCV'14) Code and Data for BMVC04 Fine-grained SBIR paper. 02/2015: Code for the famous ELF descriptor in re-id. First ever public release! 06/2015: Ground-truth Anomaly Annotation for ICCV'09 and IJCV'11 papers. 07/2015: Code for Sketch-a-Net BMVC'15 paper. 09/2015: Code for our ICLR'15 Multi-Task/Multi-domain paper 09/2015: Multi-camera video surveillance dataset from our TCSVT'15 paper 03/2016: 800K image+social metadata dataset from our ACM DH'16 paper 05/2017: LIMA dataset for re-id and tracking at CVPR'17 01/2018: Demo code CVPR'18 learning to compare few-shot learning 07/2018: Neural Decision tree Example Code . Publications Visit my Google Scholar Profile . Date Topic Type 2019 Disjoint Label Space Transfer Learning with Common Factorised Space X. Chang, Y. Yang, T. Xiang and T. M. Hospedales AAAI Conference on Artificial Intelligence (AAAI 2019) www arXiv Towards A Deep Universal Sketch Perceptual Grouper K. Li, K. Pang, Y. Song, T. Xiang, T. M. Hospedales, H. Zhang IEEE Transactions on Image Processing (TIP 2019) Web DOI 2018 Meta-Learning Transferable Active Learning Policies by Deep Reinforcement Learning K. Pang, M. Dong, Y. Wu, T. M. Hospedales International Workshop on Automatic Machine Learning (ICML AutoML 2018) * Best paper Prize! PDF Deep Neural Decision Trees Y. Yang, I. G. Morillo, T. M. Hospedales ICML Workshop on Human Interpretability in Machine Learning (ICML WHI 2018) arXiv Github code Open-Ended Learning: A Conceptual Framework Based on Representational Redescription Stephane Doncieux, David Filliat, Natalia Diaz-Rodriguez, Timothy Hospedales, Richard Duro, Alexandre Coninx, Diederik M. Roijers, Benot Girard, Nicolas Perrin, Olivier Sigaud Frontiers in Neurorobotics (2018) Web Diversity and Sparsity: A New Perspective on Index Tracking Yongxin Yang, Yu Zheng, Timothy M. Hospedales arXiv:1809.01989 (arXiv 2018) arXiv Universal Sketch Perceptual Grouping K. Li, K. Pang, J. Song, Y. Song, T. Xiang, T. M. Hospedales, H. Zhang European Conference on Computer Vision (ECCV 2018) PDF Deep Factorised Inverse-Sketching K. Pang, D. Li, J. Song, Y. Song, T. Xiang and T. Hospedales European Conference on Computer Vision (ECCV 2018) PDF Deep Multi-Task Learning to Recognise Subtle Facial Expressions of Mental States G. Hu, L. Liu, Y. Yuan, Z. Yu, Y. Hua, Z. Zhang, F. Shen, L. Shao, T. Hospedales, N. Robertson, Y. Yang European Conference on Computer Vision (ECCV 2018) PDF Learning Unsupervised Word Translations Without Adversaries T. Mukherjee, M. Yamada and T. Hospedales Empirical Methods in Natural Language Processing (EMNLP 2018) PDF Learning to Compare: Relation Network for Few-Shot Learning Flood Sung, Yongxin Yang, Li Zhang, Tao Xiang, Philip H.S. Torr, Timothy M. Hospedales IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018) DOI PDF arXiv Simple Demo Code FSL Code ZSL Code Deep Mutual Learning Y. Zhang, T. Xiang, T. M. Hospedales, H. Lu IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018) DOI PDF arXiv version Github Code Scalable and Effective Deep CCA via Soft Decorrelation X. Chang, T. Xiang, T. Hospedales IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018) DOI PDF Old arXiv version Multi-Level Factorisation Net for Person Re-Identification X. Chang, T. Hospedales, T. Xiang IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018) DOI PDF iVQA: Inverse Visual Question Answering F. Liu, T. Xiang, T. M. Hospedales, W. Yang, C. Sun IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018) DOI PDF ArXiv version What the Vec? Towards Probabilistically Grounded Embeddings Carl Allen, Ivana Balaevi, Timothy Hospedales arXiv preprint arXiv:1805.12164 (arXiv 2018) arXiv SketchMate: Deep Hashing for Million-Scale Human Sketch Retrieval P. Xu, Y. Huang, T. Yuan, K. Pang, Y.-Z. Song, T. Xiang, T. Hospedales, Z. Ma, J. Guo IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018) PDF DOI Learning to Sketch with Shortcut Cycle Consistency J. Song, K. Pang, Y. Song, T. Xiang and T. Hospedales IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018) DOI Learning Deep Sketch Abstraction U. Muhammad, Y. Yang, Y.-Z. Song, T. Xiang, T. Hospedales IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018) PDF DOI Sketch-a-Classifier: Sketch-based Photo Classifier Generation C. Hu, D. Li, Y.-Z. Song, T. Xiang, T. Hospedales IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018) PDF DOI Learning to Generalize: Meta-Learning for Domain Generalization D. Li, Y. Yang, Y.-Z. Song, T. M. Hospedales AAAI Conference on Artificial Intelligence (AAAI 2018) PDF preprint DOI Old arXiv version Demo Code Inverse Visual Question Answering: A New Benchmark and VQA Diagnosis Tool F. Liu, T. Xiang, T. M. Hospedales, W. Yang, C. Sun arXiv Preprint arXiv:1803.06936 (arXiv 2018) ArXiv Dynamic Ensemble Active Learning: A Non-Stationary Bandit with Expert Advice K. Pang, M. Dong, Y. Wu, T. Hospedales International Conference on Pattern Recognition (ICPR 2018) * Piero Zamperoni Best Student Paper Award! PDF DOI Visual Articulated Tracking in the Presence of Occlusions Christian Rauch, Timothy Hospedales, Jamie Shotton, Maurice Fallon International Conference on Robotics and Automation (ICRA 2018) PDF Video Deep Stock Representation Learning: From Candlestick Charts to Investment Decisions G. Hu, Y. Hu, K. Yang, Z. Yu, F. Sung, Z. Zhang, F. Xie, J. Liu, N. Robertson, T. Hospedales, Q. Miemie International Conference on Acoustics, Speech and Signal Processing (ICASSP 2018) PDF web Longer arXiv version 2017 Deep Matching Autoencoders Tanmoy Mukherjee, Makoto Yamada, Timothy M. Hospedales arXiv Preprint arXiv:1711.06047 (arXiv 2017) arXiv Attribute-Enhanced Face Recognition with Neural Tensor Fusion Networks G. Hu, Y. Hua, Y. Yuan, Z. Zhang, Z. Lu, S. Mukherjee, T. Hospedales, N. Robertson, Y. Yang International Conference on Computer Vision (ICCV 2017) PDF GitHub Code DOI Deeper, Broader and Artier Domain Generalization Da Li, Yongxin Yang, Yi-Zhe Song, Timothy M. Hospedales International Conference on Computer Vision (ICCV 2017) PDF DOI Deep Spatial-Semantic Attention for Fine-Grained Sketch-Based Image Retrieval Jifei Song, Qian Yu, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales International Conference on Computer Vision (ICCV 2017) PDF DOI Tensor Based Knowledge Transfer Across Skill Categories for Robot Control C. Zhao, T. Hospedales, F. Stulp, O. Sigaud International Joint Conference on Artificial Intelligence (IJCAI 2017) PDF Project Page Gated Neural Networks for Option Pricing: Rationality by Design Yongxin Yang, Yu Zheng, Timothy M. Hospedales AAAI Conference on Artificial Intelligence (AAAI 2017) www preprint Deep Multi-task Representation Learning: A Tensor Factorisation Approach Yongxin Yang and Timothy M. Hospedales International Conference on Learning Representations (ICLR 2017) PDF Earlier arXiv version Semantic Regularisation for Recurrent Image Annotation F. Liu, T. Xiang, T. Hospedales, W. Yang and C. Sun Computer Vision and Pattern Recognition (CVPR 2017) DOI PDF Weakly-Supervised Image Annotation and Segmentation with Objects and Attributes Zhiyuan Shi, Yongxin Yang, Timothy M. Hospedales and Tao Xiang IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI 2017) DOI PDF Now You See Me: Deep Face Hallucination for Unviewed Sketches Conghui Hu, Da Li, Yi-Zhe Song, and Timothy M. Hospedales British Machine Vision Conference (BMVC 2017, Oral) PDF DOI Project Page and Code Fine-Grained Image Retrieval: the Text/Sketch Input Dilemma Jifei Song, Yi-Zhe Song, Tao Xiang and Timothy M. Hospedales British Machine Vision Conference (BMVC 2017) PDF DOI Data Cross-domain Generative Learning for Fine-Grained Sketch-Based Image Retrieval Kaiyue Pang, Yi-Zhe Song, Tao Xiang and Timothy M. Hospedales British Machine Vision Conference (BMVC 2017) PDF DOI Learning to Learn: Meta-Critic Networks for Sample Efficient Learning F. Sung, L. Zhang, T. Xiang, T. M. Hospedales, Y. Yang arXiv preprint arXiv:1706.09529 (arXiv 2017) arXiv Actor-Critic Sequence Training for Image Captioning L. Zhang, F. Sung, F. Liu, T. Xiang, S. Gong, Y. Yang, T. M. Hospedales NIPS workshop on Visually-Grounded Interaction and Language (NIPS workshops 2017) arXiv Frankenstein: Learning Deep Face Representations using Small Data G. Hu, X. Peng, Y. Yang, T. Hospedales and J. Verbeek IEEE Transactions on Image Processing (IEEE TIP 2017) PDF DOI Transductive Zero-Shot Action Recognition by Word-Vector Embedding X. Xu, T. Hospedales and S. Gong International Journal of Computer Vision (IJCV 2017) DOI PDF Data Trace Norm Regularised Deep Multi-Task Learning Yongxin Yang and Timothy M. Hospedales International Conference on Learning Representations Workshop (ICLR Workshop 2017) arXiv Synergistic Instance-Level Subspace Alignment for Fine-Grained Sketch-Based Image Retrieval K. Li, K. Pang, Y.-Z. Song, T. M. Hospedales, T. Xiang and H. Zhang IEEE Transactions on Image Processing (IEEE TIP 2017) PDF DOI Transferring CNNs to Multi-Insance Multi-Label Classification on Small Datasets M. Dong, K. Pang, Y. Wu, J-H. Xue, T. Hospedales, T. Ogasawara International Conference on Image Processing (ICIP 2017) PDF DOI A Dataset for Persistent Multi-Target Multi-Camera Tracking in RGB-D R. Layne, S. Hannuna, M. Camplani, J. Hall, T. M. Hospedales, T. Xiang, M. Mirmehdi, D. Damen CVPR workshop on Target Re-Identification and Multi-Target Multi-Camera Tracking (CVPR REID-MTMCT Workshop 2017) PDF Dataset 2016 Multi-Task Zero-Shot Action Recognition with Prioritised Data Augmentation X. Xu, T. M. Hospedales and S. Gong European Conference on Computer Vision (ECCV 2016) PDF Data Multivariate Regression on the Grassmannian for Predicting Novel Domains Yongxin Yang and Timothy M. Hospedales IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016) DOI PDF Code Unifying Multi-Domain Multi-Task Learning: Tensor and Neural Network Perspectives Yongxin Yang and Timothy M. Hospedales In G. Csurka (Ed.), Domain Adaptation in Computer Vision Applications , Springer, 2017 www arXiv Deep Multi-task Representation Learning: A Tensor Factorisation Approach Yongxin Yang and Timothy M. Hospedales arXiv preprint arXiv:1605.06391 (arXiv 2016) arXiv Sketch Me That Shoe Qian Yu, Feng Liu, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Chen Change Loy IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016, Oral) DOI PDF Dataset and Code ForgetMeNot: Memory-Aware Forensic Facial Sketch Matching Shuxin Ouyang, Timothy M. Hospedales, Yi-Zhe Song and Xueming Li IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016, Spotlight) DOI PDF Dataset and Code Gaussian Visual-Linguistic Embedding for Zero-Shot Recognition T. Mukherjee and T. Hospedales Empirical Methods in Natural Language Processing (EMNLP 2016) URL PDF Code and Data (Trained Word Gaussians) When and Where to Transfer for Bayes Net Parameter Learning Yun Zhou Timothy M. Hospedales, Norman Fenton Expert Systems with Applications (ESA 2016) DOI PDF preprint Sketch-a-Net: a Deep Neural Network that Beats Humans Q. Yu, Y. Yang, F. Liu, Y-Z. Song, T. Xiang and T. Hospedales International Journal of Computer Vision (IJCV 2016) DOI PDF Deep Multi-task Attribute-driven Ranking for Fine-grained Sketch-based Image Retrieval J. Song, Y-Z. Song, T. Xiang, T. Hospedales and X. Ruan British Machine Vision Conference (BMVC 2016, Oral) DOI PDF L1 Graph Based Sparse Model for Label De-noising X. Chang, T. Xiang and T. Hospedales British Machine Vision Conference (BMVC 2016, Oral) DOI PDF Zero-Shot Crowd Behaviour Recognition X. Xu, S. Gong and T. M. Hospedales In Murino, Shah, Cristani, Savarese (Eds.), Group and Crowd Behaviour Understanding in Computer Vision, Elsevier, 2016 PDF preprint Fine-Grained Sketch-Based Image Retrieval: The Role of Part-Aware Attributes Ke Li, Kaiyue Pang, Yi-Zhe Song, Timothy Hospedales, Honggang Zhang and Yichuan Hu IEEE Winter Conference on Applications of Computer Vision (WACV 2016) DOI PDF Dataset Free-hand sketch synthesis with deformable stroke models Y. Li, Y-Z. Song, T. Hospedales and S. Gong International Journal of Computer Vision (IJCV 2016) DOI PDF Towards Bottom-Up Analysis of Social Food Jaclyn Rich, Hamed Haddadi, Timothy M. Hospedales ACM Digital Health Conference (ACM DH 2016) DOI PDF Dataset A Survey on Heterogeneous Face Recognition: Sketch, Infra-red, 3D and Low-resolution S. Ouyang, T. Hospedales, Y.-Z. Song, X. Li, C. C. Loy, X. Wang Image and Vision Computing (IaVC 2016) DOI PDF (Out of Date) arXiv version 2015 A Unified Perspective on Multi-Domain and Multi-Task Learning Yongxin Yang and Timothy M. Hospedales International Conference on Learning Representations (ICLR 2015) PDF Demo Code Sketch-a-Net that Beats Humans Q. Yu, Y. Yang, Y-Z. Song, T. Xiang and T. Hospedales British Machine Vision Conference (BMVC 2015, Oral) * First to surpass human performance at sketch recognition! * Best paper Prize! DOI PDF Extended Journal Version Code and Model Files Transferring a Semantic Representation for Person Re-Identification and Search Zhiyuan Shi, Timothy M. Hospedales and Tao Xiang IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2015) DOI PDF preprint Supplementary Material Making Better Use of Edges via Perceptual Grouping Yonggang Qi, Yi-Zhe Song, Tao Xiang, Honggang Zhang, Timothy Hospedales, Yi Li and Jun Guo IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2015) DOI PDF preprint Zero-Shot Domain Adaptation via Kernel Regression on the Grassmannian Yongxin Yang and Timothy M. Hospedales International Workshop on Differential Geometry in Computer Vision for Analysis of Shapes, Images and Trajectories (Diff-CV 2015) PDF Probabilistic Graphical Models Parameter Learning with Transferred Prior and Constraints Yun Zhou, Norman Fenton, Timothy M. Hospedales and Martin Neil Uncertainty in Artificial Intelligence (UAI 2015) * Oral Paper! PDF preprint Semantic Embedding Space for Zero-Shot Action Recognition Xun Xu, Timothy M. Hospedales and Shaogang Gong International Conference on Image Processing (ICIP 2015) * Recognized as Top 10% paper! DOI PDF Transductive Multi-view Zero-Shot Learning Yanwei Fu, Timothy M. Hospedales, Tao Xiang and Shaogang Gong IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI 2015) * We achieve a record 80.5% accuracy on the famous animals with attributes zero-shot learing benchmark! DOI PDF preprint Supplementary Material Project Page, Dataset and Code Discovery of Shared Semantic Spaces for Multi-Scene Video Query and Summarization Xun Xu, Timothy M. Hospedales and Shaogang Gong IEEE Transactions on Circuits and Systems for Video Technology (TCSVT 2015) DOI PDF preprint Project page, dataset and annotations When Face Recognition Meets with Deep Learning: an Evaluation of Convolutional Neural Networks for Face Recognition G. Hu, Y. Yang, D. Yi, J. Kittler, W. Christmas, S. Z. Li, T. Hospedales ChaLearn Looking at People - ICCV Workshop (ChaLearn LAP 2015) DOI PDF Code Pre-trained matconvnet models (2GB) Robust Subjective Visual Property Prediction from Crowdsourced Pairwise Labels Y. Fu, T. Hospedales, T. Xiang, J. Xiong, S. Gong, Y. Wang, and Y. Yao IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI 2015) DOI PDF preprint Project Page Bayesian Joint Modelling for Object Localisation in Weakly Labelled Images Zhiyuan Shi, Timothy M. Hospedales and Tao Xiang IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI 2015) DOI PDF preprint Supplementary Material Free-hand Sketch Recognition by Multi-Kernel Feature Learning Yi Li, Timothy M. Hospedales, Yi-Zhe Song and Shaogang Gong Computer Vision and Image Understanding (CVIU 2015) DOI PDF preprint 2014 Weakly Supervised Learning of Objects, Attributes and their Associations Zhiyuan Shi, Yongxin Yang, Timothy M. Hospedales and Tao Xiang European Conference on Computer Vision (ECCV 2014) PDF Extended Journal Version Project Page and Code Transductive Multi-view Embedding for Zero-Shot Recognition and Annotation Y. Fu, T. Hospedales, T. Xiang, Z. Fu and S. Gong European Conference on Computer Vision (ECCV 2014) PDF Interestingness Prediction by Robust Learning to Rank Y. Fu, T. Hospedales, T. Xiang, S. Gong and Y. Yao European Conference on Computer Vision (ECCV 2014) PDF Transductive Multi-label Zero-shot Learning Y. Fu, Y. Yang, T. Hospedales, T. Xiang and S. Gong British Machine Vision Conference (BMVC 2014) * Oral presentation PDF Cross-Modal Face Matching: Beyond Viewed Sketches S. Ouyang, T. Hospedales, Y.-Z. Song and X. Li Asian Conference on Computer Vision (ACCV 2014) PDF Project Page, Dataset and Code Re-identification: Hunting Attributes in the Wild R. Layne, T. Hospedales and S. Gong British Machine Vision Conference (BMVC 2014) * Oral presentation PDF Fine-grained sketch-based image retrieval by matching deformable part models Y. Li, T. Hospedales, Y.-Z. Song and S. Gong British Machine Vision Conference (BMVC 2014) PDF Code and Data Open-world Person Re-Identification by Multi-Label Assignment Inference B. Cancela, T. Hospedales and S. Gong British Machine Vision Conference (BMVC 2014) PDF Investigating Open-World Person Re-identification Using a Drone R. Layne, T.M. Hospedales and S. Gong ECCV Workshop on Visual Surveillance and Re-identification, (VS-RE-ID-2014) PDF preliminary preprint Datasets 2013 Bayesian Joint Topic Modelling for Weakly Supervised Object Localisation Zhiyuan Shi, Timothy M. Hospedales and Tao Xiang International Conference on Computer Vision (ICCV 2013) DOI PDF Supplementary Material Learning multi-modal latent attributes Y. Fu, T. Hospedales, T. Xiang and S. Gong IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI 2013) DOI PDF preprint dataset Domain Transfer for Person Re-identification Ryan Layne, Timothy Hospedales and Shaogang Gong In Proc. ACM International Conference on Multimedia, Workshop on Analysis and Retrieval of Tracked Events and Motion in Imagery Streams (ARTEMIS 2013) DOI PDF preprint Cross-Domain Traffic Scene Understanding by Motion Model Transfer Xun Xu, Shaogang Gong and Timothy Hospedales ACM International Conference on Multimedia, Workshop on Analysis and Retrieval of Tracked Events and Motion in Imagery Streams (ARTEMIS 2013) DOI PDF preprint The Re-Identification Challenge S. Gong, M. Cristani, C.C. Loy and T. Hospedales In Gong, Cristani, Yan, Loy (Eds.), Person Re-Identification , Springer, December 2013 PDF preprint Attributes-based Re-identification Ryan Layne, Timothy M. Hospedales and Shaogang Gong In Gong, Cristani, Yan, Loy (Eds.), Person Re-Identification , Springer, December 2013 PDF preprint 2012 A Unifying Theory of Active Discovery and Learning T. M. Hospedales, S. Gong and T. Xiang European Conference on Computer Vision, (ECCV 2012) PDF preprint Attribute Learning for Understanding Unstructured Social Activity Y. Fu, T. M. Hospedales, S. Gong and T. Xiang European Conference on Computer Vision, (ECCV 2012) PDF dataset Stream-based Joint Exploration-Exploitation Active Learning C. C. Loy, T. M. Hospedales, T. Xiang, and S. Gong IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2012) * Oral presentation PDF code Person Re-identification by Attributes R. Layne, T. M. Hospedales and S. Gong British Machine Vision Conference, (BMVC 2012) PDF datasets Towards Person Identification and Re-Identification With Attributes R. Layne, T. M. Hospedales and S. Gong ECCV Workshop on Re-identification, (Re-Id 2012) PDF datasets A real-time dictionary based approach to super-resolution for surveillance T. M. Hospedales, S. Gong and T. Xiang SPIE Security and Defence Conference (2012) * Oral presentation 2011 Learning Tags from Unsegmented Videos of Multiple Human Actions T. M. Hospedales, S. Gong and T. Xiang IEEE International Conference on Data Mining, (ICDM 2011) * Oral presentation DOI PDF demo video datasets Identifying Rare and Subtle Behaviours: A Weakly Supervised Joint Topic Model T. M. Hospedales, J. Li, T. Xiang, and S. Gong IEEE Transactions on Pattern Analysis and Machine Intelligence, (PAMI 2011) DOI PDF code datasets Video Behaviour Mining Using a Dynamic Topic Model T. M. Hospedales, S. Gong and T. Xiang International Journal of Computer Vision, (IJCV 2011) WWW PDF demo video datasets code Generative Probabilistic Modeling: Understanding Causal Sensorimotor Integration Sethu Vijayakumar, Timothy Hospedales and Adrian Haith In Trommershauser, Kording & Landy (Eds), Sensory Cue Integration , Oxford University Press, (2011) WWW Preprint PDF Finding Rare Classes: Active Learning with Generative and Discriminative Models T. M. Hospedales, S. Gong and T. Xiang IEEE Transactions on Knowledge and Data Engineering, (TKDE 2011) DOI Preprint PDF Finding Rare Classes: Adapting Generative and Discriminative Models in Active Learning T. M. Hospedales, S. Gong and T. Xiang The 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining, (PAKDD 2011) * Oral presentation PDF 2010 Learning Rare Behaviours, J. Li, T. M. Hospedales, S. Gong and T. Xiang Asian Conference on Computer Vision, (ACCV 2010) PDF code datasets 2009 A Markov Clustering Topic Model for Mining Behaviour in Video T. M. Hospedales, S. Gong and T. Xiang International Conference on Computer Vision, (ICCV 2009) * Most popular ICCV 2009 paper on sciweavers! DOI PDF demo video datasets code A Unified Approach for Adaptive Multiple Feature Tracking for Surveillance Applications E. Zelniker, T. M. Hospedales, S. Gong and T. Xiang British Machine Vision Conference, (BMVC 2009) PDF Multisensory Oddity Detection as Bayesian Inference T. M. Hospedales and S. Vijayakumar PLoS ONE, 4(1), e4205, (PLoS ONE 2009) DOI PDF 2008 Structure Inference for Bayesian Multisensory Scene Understanding T. M. Hospedales and S. Vijayakumar IEEE Transactions on Pattern Analysis and Machine Intelligence, 30:12, 2140-2157, (PAMI 2008) DOI PDF project details An Adaptive Machine Director T. M. Hospedales and O. Williams British Machine Vision Conference, (BMVC 2008) * Oral presentation PDF Bayesian Multisensory Perception T. M. Hospedales PhD Thesis, University of Edinburgh, (2008). Implications of noise and neural heterogeneity for vestibulo-ocular reflex fidelity T. M. Hospedales, Mark van Rossum, Bruce Graham and Mayank Dutia Neural Computation 20:3, 756-778, (NC 2008) PDF 2007 Structure Inference for Bayesian Multisensory Perception and Tracking T. M. Hospedales, J. Cartwright and S. Vijayakumar International Joint Conference on Artificial Intelligence, (IJCAI 2007) . * Oral presentation PDF project details Lifelong and Transfer Learning Disjoint Label Space Transfer Learning with Common Factorised Space X. Chang, Y. Yang, T. Xiang and T. M. Hospedales AAAI Conference on Artificial Intelligence (AAAI 2019) www arXiv Meta-Learning Transferable Active Learning Policies by Deep Reinforcement Learning K. Pang, M. Dong, Y. Wu, T. M. Hospedales International Workshop on Automatic Machine Learning (ICML AutoML 2018) * Best paper Prize! PDF Learning to Generalize: Meta-Learning for Domain Generalization D. Li, Y. Yang, Y.-Z. Song, T. M. Hospedales AAAI Conference on Artificial Intelligence (AAAI 2018) PDF preprint DOI Old arXiv version Demo Code Learning to Compare: Relation Network for Few-Shot Learning Flood Sung, Yongxin Yang, Li Zhang, Tao Xiang, Philip H.S. Torr, Timothy M. Hospedales IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018) DOI PDF arXiv Simple Demo Code FSL Code ZSL Code Learning to Learn: Meta-Critic Networks for Sample Efficient Learning F. Sung, L. Zhang, T. Xiang, T. M. Hospedales, Y. Yang arXiv preprint arXiv:1706.09529 (arXiv 2017) arXiv Tensor Based Knowledge Transfer Across Skill Categories for Robot Control C. Zhao, T. Hospedales, F. Stulp, O. Sigaud International Joint Conference on Artificial Intelligence (IJCAI 2017) PDF Project Page Deeper, Broader and Artier Domain Generalization Da Li, Yongxin Yang, Yi-Zhe Song, Timothy M. Hospedales International Conference on Computer Vision (ICCV 2017) PDF DOI Deep Multi-task Representation Learning: A Tensor Factorisation Approach Yongxin Yang and Timothy M. Hospedales International Conference on Learning Representations (ICLR 2017) PDF Earlier arXiv version Deep Mutual Learning Y. Zhang, T. Xiang, T. M. Hospedales, H. Lu IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018) DOI PDF arXiv version Github Code Multivariate Regression on the Grassmannian for Predicting Novel Domains Yongxin Yang and Timothy M. Hospedales IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016) DOI PDF Code Unifying Multi-Domain Multi-Task Learning: Tensor and Neural Network Perspectives Yongxin Yang and Timothy M. Hospedales In G. Csurka (Ed.), Domain Adaptation in Computer Vision Applications , Springer, 2017 www arXiv Deep Multi-task Representation Learning: A Tensor Factorisation Approach Yongxin Yang and Timothy M. Hospedales arXiv preprint arXiv:1605.06391 (arXiv 2016) arXiv When and Where to Transfer for Bayes Net Parameter Learning Yun Zhou Timothy M. Hospedales, Norman Fenton Expert Systems with Applications (ESA 2016) DOI PDF preprint A Unified Perspective on Multi-Domain and Multi-Task Learning Yongxin Yang and Timothy M. Hospedales International Conference on Learning Representations (ICLR 2015) PDF Demo Code Zero-Shot Domain Adaptation via Kernel Regression on the Grassmannian Yongxin Yang and Timothy M. Hospedales International Workshop on Differential Geometry in Computer Vision for Analysis of Shapes, Images and Trajectories (Diff-CV 2015) PDF Probabilistic Graphical Models Parameter Learning with Transferred Prior and Constraints Yun Zhou, Norman Fenton, Timothy M. Hospedales and Martin Neil Uncertainty in Artificial Intelligence (UAI 2015) * Oral Paper! PDF preprint Transferring a Semantic Representation for Person Re-Identification and Search Zhiyuan Shi, Timothy M. Hospedales and Tao Xiang IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2015) DOI PDF preprint Supplementary Material Trace Norm Regularised Deep Multi-Task Learning Yongxin Yang and Timothy M. Hospedales International Conference on Learning Representations Workshop (ICLR Workshop 2017) arXiv Zero-Shot Learning Transductive Zero-Shot Action Recognition by Word-Vector Embedding X. Xu, T. Hospedales and S. Gong International Journal of Computer Vision (IJCV 2017) DOI PDF Data Multi-Task Zero-Shot Action Recognition with Prioritised Data Augmentation X. Xu, T. M. Hospedales and S. Gong European Conference on Computer Vision (ECCV 2016) PDF Data Zero-Shot Crowd Behaviour Recognition X. Xu, S. Gong and T. M. Hospedales In Murino, Shah, Cristani, Savarese (Eds.), Group and Crowd Behaviour Understanding in Computer Vision, Elsevier, 2016 PDF preprint Transductive Multi-view Zero-Shot Learning Yanwei Fu, Timothy M. Hospedales, Tao Xiang and Shaogang Gong IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI 2015) * We achieve a record 80.5% accuracy on the famous animals with attributes zero-shot learing benchmark! DOI PDF preprint Supplementary Material Project Page, Dataset and Code A Unified Perspective on Multi-Domain and Multi-Task Learning Yongxin Yang and Timothy M. Hospedales International Conference on Learning Representations (ICLR 2015) PDF Demo Code Zero-Shot Domain Adaptation via Kernel Regression on the Grassmannian Yongxin Yang and Timothy M. Hospedales International Workshop on Differential Geometry in Computer Vision for Analysis of Shapes, Images and Trajectories (Diff-CV 2015) PDF Semantic Embedding Space for Zero-Shot Action Recognition Xun Xu, Timothy M. Hospedales and Shaogang Gong International Conference on Image Processing (ICIP 2015) * Recognized as Top 10% paper! DOI PDF Transductive Multi-view Embedding for Zero-Shot Recognition and Annotation Y. Fu, T. Hospedales, T. Xiang, Z. Fu and S. Gong European Conference on Computer Vision (ECCV 2014) PDF Transductive Multi-label Zero-shot Learning Y. Fu, Y. Yang, T. Hospedales, T. Xiang and S. Gong British Machine Vision Conference (BMVC 2014) * Oral presentation PDF Learning multi-modal latent attributes Y. Fu, T. Hospedales, T. Xiang and S. Gong IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI 2013) DOI PDF preprint dataset Attribute Learning for Understanding Unstructured Social Activity Y. Fu, T. M. Hospedales, S. Gong and T. Xiang European Conference on Computer Vision, (ECCV 2012) PDF dataset Finance Diversity and Sparsity: A New Perspective on Index Tracking Yongxin Yang, Yu Zheng, Timothy M. Hospedales arXiv:1809.01989 (arXiv 2018) arXiv Gated Neural Networks for Option Pricing: Rationality by Design Yongxin Yang, Yu Zheng, Timothy M. Hospedales AAAI Conference on Artificial Intelligence (AAAI 2017) www preprint Deep Stock Representation Learning: From Candlestick Charts to Investment Decisions G. Hu, Y. Hu, K. Yang, Z. Yu, F. Sung, Z. Zhang, F. Xie, J. Liu, N. Robertson, T. Hospedales, Q. Miemie International Conference on Acoustics, Speech and Signal Processing (ICASSP 2018) PDF web Longer arXiv version Active Learning Meta-Learning Transferable Active Learning Policies by Deep Reinforcement Learning K. Pang, M. Dong, Y. Wu, T. M. Hospedales International Workshop on Automatic Machine Learning (ICML AutoML 2018) * Best paper Prize! PDF Dynamic Ensemble Active Learning: A Non-Stationary Bandit with Expert Advice K. Pang, M. Dong, Y. Wu, T. Hospedales International Conference on Pattern Recognition (ICPR 2018) * Piero Zamperoni Best Student Paper Award! PDF DOI A Unifying Theory of Active Discovery and Learning T. M. Hospedales, S. Gong and T. Xiang European Conference on Computer Vision, (ECCV 2012) PDF preprint Stream-based Joint Exploration-Exploitation Active Learning C. C. Loy, T. M. Hospedales, T. Xiang, and S. Gong IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2012) * Oral presentation PDF code Finding Rare Classes: Active Learning with Generative and Discriminative Models T. M. Hospedales, S. Gong and T. Xiang IEEE Transactions on Knowledge and Data Engineering, (TKDE 2011) DOI Preprint PDF Finding Rare Classes: Adapting Generative and Discriminative Models in Active Learning T. M. Hospedales, S. Gong and T. Xiang The 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining, (PAKDD 2011) * Oral presentation PDF Behaviour and Action Understanding Transductive Zero-Shot Action Recognition by Word-Vector Embedding X. Xu, T. Hospedales and S. Gong International Journal of Computer Vision (IJCV 2017) DOI PDF Data Multi-Task Zero-Shot Action Recognition with Prioritised Data Augmentation X. Xu, T. M. Hospedales and S. Gong European Conference on Computer Vision (ECCV 2016) PDF Data Zero-Shot Crowd Behaviour Recognition X. Xu, S. Gong and T. M. Hospedales In Murino, Shah, Cristani, Savarese (Eds.), Group and Crowd Behaviour Understanding in Computer Vision, Elsevier, 2016 PDF preprint Semantic Embedding Space for Zero-Shot Action Recognition Xun Xu, Timothy M. Hospedales and Shaogang Gong International Conference on Image Processing (ICIP 2015) * Recognized as Top 10% paper! DOI PDF Discovery of Shared Semantic Spaces for Multi-Scene Video Query and Summarization Xun Xu, Timothy M. Hospedales and Shaogang Gong IEEE Transactions on Circuits and Systems for Video Technology (TCSVT 2015) DOI PDF preprint Project page, dataset and annotations Learning multi-modal latent attributes Y. Fu, T. Hospedales, T. Xiang and S. Gong IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI 2013) DOI PDF preprint dataset Cross-Domain Traffic Scene Understanding by Motion Model Transfer Xun Xu, Shaogang Gong and Timothy Hospedales ACM International Conference on Multimedia, Workshop on Analysis and Retrieval of Tracked Events and Motion in Imagery Streams (ARTEMIS 2013) DOI PDF preprint Attribute Learning for Understanding Unstructured Social Activity Y. Fu, T. M. Hospedales, S. Gong and T. Xiang European Conference on Computer Vision, (ECCV 2012) PDF dataset Learning Tags from Unsegmented Videos of Multiple Human Actions T. M. Hospedales, S. Gong and T. Xiang IEEE International Conference on Data Mining, (ICDM 2011) * Oral presentation DOI PDF demo video datasets Identifying Rare and Subtle Behaviours: A Weakly Supervised Joint Topic Model T. M. Hospedales, J. Li, T. Xiang, and S. Gong IEEE Transactions on Pattern Analysis and Machine Intelligence, (PAMI 2011) DOI PDF code datasets Video Behaviour Mining Using a Dynamic Topic Model T. M. Hospedales, S. Gong and T. Xiang International Journal of Computer Vision, (IJCV 2011) WWW PDF demo video datasets code Learning Rare Behaviours, J. Li, T. M. Hospedales, S. Gong and T. Xiang Asian Conference on Computer Vision, (ACCV 2010) PDF code datasets A Markov Clustering Topic Model for Mining Behaviour in Video T. M. Hospedales, S. Gong and T. Xiang International Conference on Computer Vision, (ICCV 2009) * Most popular ICCV 2009 paper on sciweavers! DOI PDF demo video datasets code Person re-identification Multi-Level Factorisation Net for Person Re-Identification X. Chang, T. Hospedales, T. Xiang IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018) DOI PDF Deep Mutual Learning Y. Zhang, T. Xiang, T. M. Hospedales, H. Lu IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018) DOI PDF arXiv version Github Code Scalable and Effective Deep CCA via Soft Decorrelation X. Chang, T. Xiang, T. Hospedales IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018) DOI PDF Old arXiv version A Dataset for Persistent Multi-Target Multi-Camera Tracking in RGB-D R. Layne, S. Hannuna, M. Camplani, J. Hall, T. M. Hospedales, T. Xiang, M. Mirmehdi, D. Damen CVPR workshop on Target Re-Identification and Multi-Target Multi-Camera Tracking (CVPR REID-MTMCT Workshop 2017) PDF Dataset Transferring a Semantic Representation for Person Re-Identification and Search Zhiyuan Shi, Timothy M. Hospedales and Tao Xiang IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2015) DOI PDF preprint Supplementary Material Re-identification: Hunting Attributes in the Wild R. Layne, T. Hospedales and S. Gong British Machine Vision Conference (BMVC 2014) * Oral presentation PDF Open-world Person Re-Identification by Multi-Label Assignment Inference B. Cancela, T. Hospedales and S. Gong British Machine Vision Conference (BMVC 2014) PDF Investigating Open-World Person Re-identification Using a Drone R. Layne, T.M. Hospedales and S. Gong ECCV Workshop on Visual Surveillance and Re-identification, (VS-RE-ID-2014) PDF preliminary preprint Datasets The Re-Identification Challenge S. Gong, M. Cristani, C.C. Loy and T. Hospedales In Gong, Cristani, Yan, Loy (Eds.), Person Re-Identification , Springer, December 2013 PDF preprint Attributes-based Re-identification Ryan Layne, Timothy M. Hospedales and Shaogang Gong In Gong, Cristani, Yan, Loy (Eds.), Person Re-Identification , Springer, December 2013 PDF preprint Domain Transfer for Person Re-identification Ryan Layne, Timothy Hospedales and Shaogang Gong In Proc. ACM International Conference on Multimedia, Workshop on Analysis and Retrieval of Tracked Events and Motion in Imagery Streams (ARTEMIS 2013) DOI PDF preprint Towards Person Identification and Re-Identification With Attributes R. Layne, T. M. Hospedales and S. Gong ECCV Workshop on Re-identification, (Re-Id 2012) PDF datasets Person Re-identification by Attributes R. Layne, T. M. Hospedales and S. Gong British Machine Vision Conference, (BMVC 2012) PDF datasets Visual Attribute Learning Weakly-Supervised Image Annotation and Segmentation with Objects and Attributes Zhiyuan Shi, Yongxin Yang, Timothy M. Hospedales and Tao Xiang IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI 2017) DOI PDF Transferring a Semantic Representation for Person Re-Identification and Search Zhiyuan Shi, Timothy M. Hospedales and Tao Xiang IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2015) DOI PDF preprint Supplementary Material Transductive Multi-view Zero-Shot Learning Yanwei Fu, Timothy M. Hospedales, Tao Xiang and Shaogang Gong IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI 2015) * We achieve a record 80.5% accuracy on the famous animals with attributes zero-shot learing benchmark! DOI PDF preprint Supplementary Material Project Page, Dataset and Code Free-hand Sketch Recognition by Multi-Kernel Feature Learning Yi Li, Timothy M. Hospedales, Yi-Zhe Song and Shaogang Gong Computer Vision and Image Understanding (CVIU 2015) DOI PDF preprint Weakly Supervised Learning of Objects, Attributes and their Associations Zhiyuan Shi, Yongxin Yang, Timothy M. Hospedales and Tao Xiang European Conference on Computer Vision (ECCV 2014) PDF Extended Journal Version Project Page and Code Transductive Multi-view Embedding for Zero-Shot Recognition and Annotation Y. Fu, T. Hospedales, T. Xiang, Z. Fu and S. Gong European Conference on Computer Vision (ECCV 2014) PDF Re-identification: Hunting Attributes in the Wild R. Layne, T. Hospedales and S. Gong British Machine Vision Conference (BMVC 2014) * Oral presentation PDF Learning multi-modal latent attributes Y. Fu, T. Hospedales, T. Xiang and S. Gong IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI 2013) DOI PDF preprint dataset Attribute Learning for Understanding Unstructured Social Activity Y. Fu, T. M. Hospedales, S. Gong and T. Xiang European Conference on Computer Vision, (ECCV 2012) PDF dataset Attributes-based Re-identification Ryan Layne, Timothy M. Hospedales and Shaogang Gong In Gong, Cristani, Yan, Loy (Eds.), Person Re-Identification , Springer, December 2013 PDF preprint Towards Person Identification and Re-Identification With Attributes R. Layne, T. M. Hospedales and S. Gong ECCV Workshop on Re-identification, (Re-Id 2012) PDF datasets Person Re-identification by Attributes R. Layne, T. M. Hospedales and S. Gong British Machine Vision Conference, (BMVC 2012) PDF datasets Deep Learning Learning to Generalize: Meta-Learning for Domain Generalization D. Li, Y. Yang, Y.-Z. Song, T. M. Hospedales AAAI Conference on Artificial Intelligence (AAAI 2018) PDF preprint DOI Old arXiv version Demo Code Learning to Compare: Relation Network for Few-Shot Learning Flood Sung, Yongxin Yang, Li Zhang, Tao Xiang, Philip H.S. Torr, Timothy M. Hospedales IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018) DOI PDF arXiv Simple Demo Code FSL Code ZSL Code Deep Matching Autoencoders Tanmoy Mukherjee, Makoto Yamada, Timothy M. Hospedales arXiv Preprint arXiv:1711.06047 (arXiv 2017) arXiv iVQA: Inverse Visual Question Answering F. Liu, T. Xiang, T. M. Hospedales, W. Yang, C. Sun IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018) DOI PDF ArXiv version Attribute-Enhanced Face Recognition with Neural Tensor Fusion Networks G. Hu, Y. Hua, Y. Yuan, Z. Zhang, Z. Lu, S. Mukherjee, T. Hospedales, N. Robertson, Y. Yang International Conference on Computer Vision (ICCV 2017) PDF GitHub Code DOI Deeper, Broader and Artier Domain Generalization Da Li, Yongxin Yang, Yi-Zhe Song, Timothy M. Hospedales International Conference on Computer Vision (ICCV 2017) PDF DOI Deep Spatial-Semantic Attention for Fine-Grained Sketch-Based Image Retrieval Jifei Song, Qian Yu, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales International Conference on Computer Vision (ICCV 2017) PDF DOI Deep Multi-task Representation Learning: A Tensor Factorisation Approach Yongxin Yang and Timothy M. Hospedales International Conference on Learning Representations (ICLR 2017) PDF Earlier arXiv version Scalable and Effective Deep CCA via Soft Decorrelation X. Chang, T. Xiang, T. Hospedales IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018) DOI PDF Old arXiv version Deep Multi-task Representation Learning: A Tensor Factorisation Approach Yongxin Yang and Timothy M. Hospedales arXiv preprint arXiv:1605.06391 (arXiv 2016) arXiv Frankenstein: Learning Deep Face Representations using Small Data G. Hu, X. Peng, Y. Yang, T. Hospedales and J. Verbeek IEEE Transactions on Image Processing (IEEE TIP 2017) PDF DOI Deep Stock Representation Learning: From Candlestick Charts to Investment Decisions G. Hu, Y. Hu, K. Yang, Z. Yu, F. Sung, Z. Zhang, F. Xie, J. Liu, N. Robertson, T. Hospedales, Q. Miemie International Conference on Acoustics, Speech and Signal Processing (ICASSP 2018) PDF web Longer arXiv version Deep Mutual Learning Y. Zhang, T. Xiang, T. M. Hospedales, H. Lu IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018) DOI PDF arXiv version Github Code Semantic Regularisation for Recurrent Image Annotation F. Liu, T. Xiang, T. Hospedales, W. Yang and C. Sun Computer Vision and Pattern Recognition (CVPR 2017) DOI PDF Gated Neural Networks for Option Pricing: Rationality by Design Yongxin Yang, Yu Zheng, Timothy M. Hospedales AAAI Conference on Artificial Intelligence (AAAI 2017) www preprint Unifying Multi-Domain Multi-Task Learning: Tensor and Neural Network Perspectives Yongxin Yang and Timothy M. Hospedales In G. Csurka (Ed.), Domain Adaptation in Computer Vision Applications , Springer, 2017 www arXiv Deep Multi-task Representation Learning: A Tensor Factorisation Approach Yongxin Yang and Timothy M. Hospedales arXiv preprint arXiv:1605.06391 (arXiv 2016) arXiv Sketch Me That Shoe Qian Yu, Feng Liu, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Chen Change Loy IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016, Oral) DOI PDF Dataset and Code Sketch-a-Net: a Deep Neural Network that Beats Humans Q. Yu, Y. Yang, F. Liu, Y-Z. Song, T. Xiang and T. Hospedales International Journal of Computer Vision (IJCV 2016) DOI PDF Sketch-a-Net that Beats Humans Q. Yu, Y. Yang, Y-Z. Song, T. Xiang and T. Hospedales British Machine Vision Conference (BMVC 2015, Oral) * First to surpass human performance at sketch recognition! * Best paper Prize! DOI PDF Extended Journal Version Code and Model Files A Unified Perspective on Multi-Domain and Multi-Task Learning Yongxin Yang and Timothy M. Hospedales International Conference on Learning Representations (ICLR 2015) PDF Demo Code When Face Recognition Meets with Deep Learning: an Evaluation of Convolutional Neural Networks for Face Recognition G. Hu, Y. Yang, D. Yi, J. Kittler, W. Christmas, S. Z. Li, T. Hospedales ChaLearn Looking at People - ICCV Workshop (ChaLearn LAP 2015) DOI PDF Code Pre-trained matconvnet models (2GB) Transductive Multi-label Zero-shot Learning Y. Fu, Y. Yang, T. Hospedales, T. Xiang and S. Gong British Machine Vision Conference (BMVC 2014) * Oral presentation PDF Machine Learning Meta-Learning Transferable Active Learning Policies by Deep Reinforcement Learning K. Pang, M. Dong, Y. Wu, T. M. Hospedales International Workshop on Automatic Machine Learning (ICML AutoML 2018) * Best paper Prize! PDF Deep Neural Decision Trees Y. Yang, I. G. Morillo, T. M. Hospedales ICML Workshop on Human Interpretability in Machine Learning (ICML WHI 2018) arXiv Github code What the Vec? Towards Probabilistically Grounded Embeddings Carl Allen, Ivana Balaevi, Timothy Hospedales arXiv preprint arXiv:1805.12164 (arXiv 2018) arXiv Deep Matching Autoencoders Tanmoy Mukherjee, Makoto Yamada, Timothy M. Hospedales arXiv Preprint arXiv:1711.06047 (arXiv 2017) arXiv Gated Neural Networks for Option Pricing: Rationality by Design Yongxin Yang, Yu Zheng, Timothy M. Hospedales AAAI Conference on Artificial Intelligence (AAAI 2017) www preprint Multivariate Regression on the Grassmannian for Predicting Novel Domains Yongxin Yang and Timothy M. Hospedales IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016) DOI PDF Code When and Where to Transfer for Bayes Net Parameter Learning Yun Zhou Timothy M. Hospedales, Norman Fenton Expert Systems with Applications (ESA 2016) DOI PDF preprint A Unified Perspective on Multi-Domain and Multi-Task Learning Yongxin Yang and Timothy M. Hospedales International Conference on Learning Representations (ICLR 2015) PDF Demo Code Probabilistic Graphical Models Parameter Learning with Transferred Prior and Constraints Yun Zhou, Norman Fenton, Timothy M. Hospedales and Martin Neil Uncertainty in Artificial Intelligence (UAI 2015) * Oral Paper! PDF preprint Zero-shot learning, Vision and Language Learning Unsupervised Word Translations Without Adversaries T. Mukherjee, M. Yamada and T. Hospedales Empirical Methods in Natural Language Processing (EMNLP 2018) PDF Deep Matching Autoencoders Tanmoy Mukherjee, Makoto Yamada, Timothy M. Hospedales arXiv Preprint arXiv:1711.06047 (arXiv 2017) arXiv iVQA: Inverse Visual Question Answering F. Liu, T. Xiang, T. M. Hospedales, W. Yang, C. Sun IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018) DOI PDF ArXiv version Semantic Regularisation for Recurrent Image Annotation F. Liu, T. Xiang, T. Hospedales, W. Yang and C. Sun Computer Vision and Pattern Recognition (CVPR 2017) DOI PDF Transductive Zero-Shot Action Recognition by Word-Vector Embedding X. Xu, T. Hospedales and S. Gong International Journal of Computer Vision (IJCV 2017) DOI PDF Data Gaussian Visual-Linguistic Embedding for Zero-Shot Recognition T. Mukherjee and T. Hospedales Empirical Methods in Natural Language Processing (EMNLP 2016) URL PDF Code and Data (Trained Word Gaussians) Multi-Task Zero-Shot Action Recognition with Prioritised Data Augmentation X. Xu, T. M. Hospedales and S. Gong European Conference on Computer Vision (ECCV 2016) PDF Data Zero-Shot Crowd Behaviour Recognition X. Xu, S. Gong and T. M. Hospedales In Murino, Shah, Cristani, Savarese (Eds.), Group and Crowd Behaviour Understanding in Computer Vision, Elsevier, 2016 PDF preprint Multivariate Regression on the Grassmannian for Predicting Novel Domains Yongxin Yang and Timothy M. Hospedales IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016) DOI PDF Code Transductive Multi-view Zero-Shot Learning Yanwei Fu, Timothy M. Hospedales, Tao Xiang and Shaogang Gong IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI 2015) * We achieve a record 80.5% accuracy on the famous animals with attributes zero-shot learing benchmark! DOI PDF preprint Supplementary Material Project Page, Dataset and Code Semantic Embedding Space for Zero-Shot Action Recognition Xun Xu, Timothy M. Hospedales and Shaogang Gong International Conference on Image Processing (ICIP 2015) * Recognized as Top 10% paper! DOI PDF Transductive Multi-label Zero-shot Learning Y. Fu, Y. Yang, T. Hospedales, T. Xiang and S. Gong British Machine Vision Conference (BMVC 2014) * Oral presentation PDF Sketches Synergistic Instance-Level Subspace Alignment for Fine-Grained Sketch-Based Image Retrieval K. Li, K. Pang, Y.-Z. Song, T. M. Hospedales, T. Xiang and H. Zhang IEEE Transactions on Image Processing (IEEE TIP 2017) PDF DOI Now You See Me: Deep Face Hallucination for Unviewed Sketches Conghui Hu, Da Li, Yi-Zhe Song, and Timothy M. Hospedales British Machine Vision Conference (BMVC 2017, Oral) PDF DOI Project Page and Code Fine-Grained Image Retrieval: the Text/Sketch Input Dilemma Jifei Song, Yi-Zhe Song, Tao Xiang and Timothy M. Hospedales British Machine Vision Conference (BMVC 2017) PDF DOI Data Cross-domain Generative Learning for Fine-Grained Sketch-Based Image Retrieval Kaiyue Pang, Yi-Zhe Song, Tao Xiang and Timothy M. Hospedales British Machine Vision Conference (BMVC 2017) PDF DOI Sketch Me That Shoe Qian Yu, Feng Liu, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Chen Change Loy IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016, Oral) DOI PDF Dataset and Code Fine-Grained Sketch-Based Image Retrieval: The Role of Part-Aware Attributes Ke Li, Kaiyue Pang, Yi-Zhe Song, Timothy Hospedales, Honggang Zhang and Yichuan Hu IEEE Winter Conference on Applications of Computer Vision (WACV 2016) DOI PDF Dataset Free-hand sketch synthesis with deformable stroke models Y. Li, Y-Z. Song, T. Hospedales and S. Gong International Journal of Computer Vision (IJCV 2016) DOI PDF Sketch-a-Net: a Deep Neural Network that Beats Humans Q. Yu, Y. Yang, F. Liu, Y-Z. Song, T. Xiang and T. Hospedales International Journal of Computer Vision (IJCV 2016) DOI PDF Sketch-a-Net that Beats Humans Q. Yu, Y. Yang, Y-Z. Song, T. Xiang and T. Hospedales British Machine Vision Conference (BMVC 2015, Oral) * First to surpass human performance at sketch recognition! * Best paper Prize! DOI PDF Extended Journal Version Code and Model Files Making Better Use of Edges via Perceptual Grouping Yonggang Qi, Yi-Zhe Song, Tao Xiang, Honggang Zhang, Timothy Hospedales, Yi Li and Jun Guo IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2015) DOI PDF preprint Free-hand Sketch Recognition by Multi-Kernel Feature Learning Yi Li, Timothy M. Hospedales, Yi-Zhe Song and Shaogang Gong Computer Vision and Image Understanding (CVIU 2015) DOI PDF preprint Fine-grained sketch-based image retrieval by matching deformable part models Y. Li, T. Hospedales, Y.-Z. Song and S. Gong British Machine Vision Conference (BMVC 2014) PDF Code and Data Computer Vision Visual Articulated Tracking in the Presence of Occlusions Christian Rauch, Timothy Hospedales, Jamie Shotton, Maurice Fallon International Conference on Robotics and Automation (ICRA 2018) PDF Video ForgetMeNot: Memory-Aware Forensic Facial Sketch Matching Shuxin Ouyang, Timothy M. Hospedales, Yi-Zhe Song and Xueming Li IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016, Spotlight) DOI PDF Dataset and Code Towards Bottom-Up Analysis of Social Food Jaclyn Rich, Hamed Haddadi, Timothy M. Hospedales ACM Digital Health Conference (ACM DH 2016) DOI PDF Dataset Robust Subjective Visual Property Prediction from Crowdsourced Pairwise Labels Y. Fu, T. Hospedales, T. Xiang, J. Xiong, S. Gong, Y. Wang, and Y. Yao IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI 2015) DOI PDF preprint Project Page When Face Recognition Meets with Deep Learning: an Evaluation of Convolutional Neural Networks for Face Recognition G. Hu, Y. Yang, D. Yi, J. Kittler, W. Christmas, S. Z. Li, T. Hospedales ChaLearn Looking at People - ICCV Workshop (ChaLearn LAP 2015) DOI PDF Code Pre-trained matconvnet models (2GB) Transferring a Semantic Representation for Person Re-Identification and Search Zhiyuan Shi, Timothy M. Hospedales and Tao Xiang IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2015) DOI PDF preprint Supplementary Material Bayesian Joint Modelling for Object Localisation in Weakly Labelled Images Zhiyuan Shi, Timothy M. Hospedales and Tao Xiang IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI 2015) DOI PDF preprint Supplementary Material Interestingness Prediction by Robust Learning to Rank Y. Fu, T. Hospedales, T. Xiang, S. Gong and Y. Yao European Conference on Computer Vision (ECCV 2014) PDF Cross-Modal Face Matching: Beyond Viewed Sketches S. Ouyang, T. Hospedales, Y.-Z. Song and X. Li Asian Conference on Computer Vision (ACCV 2014) PDF Project Page, Dataset and Code A Survey on Heterogeneous Face Recognition: Sketch, Infra-red, 3D and Low-resolution S. Ouyang, T. Hospedales, Y.-Z. Song, X. Li, C. C. Loy, X. Wang Image and Vision Computing (IaVC 2016) DOI PDF (Out of Date) arXiv version Bayesian Joint Topic Modelling for Weakly Supervised Object Localisation Zhiyuan Shi, Timothy M. Hospedales and Tao Xiang International Conference on Computer Vision (ICCV 2013) DOI PDF Supplementary Material A real-time dictionary based approach to super-resolution for surveillance T. M. Hospedales, S. Gong and T. Xiang SPIE Security and Defence Conference (2012) * Oral presentation A Unified Approach for Adaptive Multiple Feature Tracking for Surveillance Applications E. Zelniker, T. M. Hospedales, S. Gong and T. Xiang British Machine Vision Conference, (BMVC 2009) PDF Structure Inference for Bayesian Multisensory Scene Understanding T. M. Hospedales and S. Vijayakumar IEEE Transactions on Pattern Analysis and Machine Intelligence, 30:12, 2140-2157, (PAMI 2008) DOI PDF project details An Adaptive Machine Director T. M. Hospedales and O. Williams British Machine Vision Conference, (BMVC 2008) * Oral presentation PDF Bayesian Multisensory Perception T. M. Hospedales PhD Thesis, University of Edinburgh, (2008). Structure Inference for Bayesian Multisensory Perception and Tracking T. M. Hospedales, J. Cartwright and S. Vijayakumar International Joint Conference on Artificial Intelligence, (IJCAI 2007) . * Oral presentation PDF project details Neuroscience Generative Probabilistic Modeling: Understanding Causal Sensorimotor Integration Sethu Vijayakumar, Timothy Hospedales and Adrian Haith In Trommershauser, Kording & Landy (Eds), Sensory Cue Integration , Oxford University Press, (2011) WWW Preprint PDF Multisensory Oddity Detection as Bayesian Inference T. M. Hospedales and S. Vijayakumar PLoS ONE, 4(1), e4205, (PLoS ONE 2009) DOI PDF Bayesian Multisensory Perception T. M. Hospedales PhD Thesis, University of Edinburgh, (2008). Implications of noise and neural heterogeneity for vestibulo-ocular reflex fidelity T. M. Hospedales, Mark van Rossum, Bruce Graham and Mayank Dutia Neural Computation 20:3, 756-778, (NC 2008) PDF Journal Open-Ended Learning: A Conceptual Framework Based on Representational Redescription Stephane Doncieux, David Filliat, Natalia Diaz-Rodriguez, Timothy Hospedales, Richard Duro, Alexandre Coninx, Diederik M. Roijers, Benot Girard, Nicolas Perrin, Olivier Sigaud Frontiers in Neurorobotics (2018) Web Weakly-Supervised Image Annotation and Segmentation with Objects and Attributes Zhiyuan Shi, Yongxin Yang, Timothy M. Hospedales and Tao Xiang IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI 2017) DOI PDF Transductive Zero-Shot Action Recognition by Word-Vector Embedding X. Xu, T. Hospedales and S. Gong International Journal of Computer Vision (IJCV 2017) DOI PDF Data Synergistic Instance-Level Subspace Alignment for Fine-Grained Sketch-Based Image Retrieval K. Li, K. Pang, Y.-Z. Song, T. M. Hospedales, T. Xiang and H. Zhang IEEE Transactions on Image Processing (IEEE TIP 2017) PDF DOI Frankenstein: Learning Deep Face Representations using Small Data G. Hu, X. Peng, Y. Yang, T. Hospedales and J. Verbeek IEEE Transactions on Image Processing (IEEE TIP 2017) PDF DOI Sketch-a-Net: a Deep Neural Network that Beats Humans Q. Yu, Y. Yang, F. Liu, Y-Z. Song, T. Xiang and T. Hospedales International Journal of Computer Vision (IJCV 2016) DOI PDF When and Where to Transfer for Bayes Net Parameter Learning Yun Zhou Timothy M. Hospedales, Norman Fenton Expert Systems with Applications (ESA 2016) DOI PDF preprint Free-hand sketch synthesis with deformable stroke models Y. Li, Y-Z. Song, T. Hospedales and S. Gong International Journal of Computer Vision (IJCV 2016) DOI PDF A Survey on Heterogeneous Face Recognition: Sketch, Infra-red, 3D and Low-resolution S. Ouyang, T. Hospedales, Y.-Z. Song, X. Li, C. C. Loy, X. Wang Image and Vision Computing (IaVC 2016) DOI PDF (Out of Date) arXiv version Transductive Multi-view Zero-Shot Learning Yanwei Fu, Timothy M. Hospedales, Tao Xiang and Shaogang Gong IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI 2015) * We achieve a record 80.5% accuracy on the famous animals with attributes zero-shot learing benchmark! DOI PDF preprint Supplementary Material Project Page, Dataset and Code Bayesian Joint Modelling for Object Localisation in Weakly Labelled Images Zhiyuan Shi, Timothy M. Hospedales and Tao Xiang IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI 2015) DOI PDF preprint Supplementary Material Robust Subjective Visual Property Prediction from Crowdsourced Pairwise Labels Y. Fu, T. Hospedales, T. Xiang, J. Xiong, S. Gong, Y. Wang, and Y. Yao IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI 2015) DOI PDF preprint Project Page Discovery of Shared Semantic Spaces for Multi-Scene Video Query and Summarization Xun Xu, Timothy M. Hospedales and Shaogang Gong IEEE Transactions on Circuits and Systems for Video Technology (TCSVT 2015) DOI PDF preprint Project page, dataset and annotations Free-hand Sketch Recognition by Multi-Kernel Feature Learning Yi Li, Timothy M. Hospedales, Yi-Zhe Song and Shaogang Gong Computer Vision and Image Understanding (CVIU 2015) DOI PDF preprint A Survey on Heterogeneous Face Recognition: Sketch, Infra-red, 3D and Low-resolution S. Ouyang, T. Hospedales, Y.-Z. Song and X. Li arXiv preprint arXiv:1409.5114 PDF Learning multi-modal latent attributes Y. Fu, T. Hospedales, T. Xiang and S. Gong IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI 2013) DOI PDF preprint dataset Identifying Rare and Subtle Behaviours: A Weakly Supervised Joint Topic Model T. M. Hospedales, J. Li, T. Xiang, and S. Gong IEEE Transactions on Pattern Analysis and Machine Intelligence, (PAMI 2011) DOI PDF code datasets Video Behaviour Mining Using a Dynamic Topic Model T. M. Hospedales, S. Gong and T. Xiang International Journal of Computer Vision, (IJCV 2011) WWW PDF demo video datasets code Finding Rare Classes: Active Learning with Generative and Discriminative Models T. M. Hospedales, S. Gong and T. Xiang IEEE Transactions on Knowledge and Data Engineering, (TKDE 2011) DOI Preprint PDF Multisensory Oddity Detection as Bayesian Inference T. M. Hospedales and S. Vijayakumar PLoS ONE, 4(1), e4205, (PLoS ONE 2009) DOI PDF Structure Inference for Bayesian Multisensory Scene Understanding T. M. Hospedales and S. Vijayakumar IEEE Transactions on Pattern Analysis and Machine Intelligence, 30:12, 2140-2157, (PAMI 2008) DOI PDF project details Implications of noise and neural heterogeneity for vestibulo-ocular reflex fidelity T. M. Hospedales, Mark van Rossum, Bruce Graham and Mayank Dutia Neural Computation 20:3, 756-778, (NC 2008) PDF Conference Learning to Generalize: Meta-Learning for Domain Generalization D. Li, Y. Yang, Y.-Z. Song, T. M. Hospedales AAAI Conference on Artificial Intelligence (AAAI 2018) PDF preprint DOI Old arXiv version Demo Code Learning Unsupervised Word Translations Without Adversaries T. Mukherjee, M. Yamada and T. Hospedales Empirical Methods in Natural Language Processing (EMNLP 2018) PDF Visual Articulated Tracking in the Presence of Occlusions Christian Rauch, Timothy Hospedales, Jamie Shotton, Maurice Fallon International Conference on Robotics and Automation (ICRA 2018) PDF Video Tensor Based Knowledge Transfer Across Skill Categories for Robot Control C. Zhao, T. Hospedales, F. Stulp, O. Sigaud International Joint Conference on Artificial Intelligence (IJCAI 2017) PDF Project Page Deep Multi-task Representation Learning: A Tensor Factorisation Approach Yongxin Yang and Timothy M. Hospedales International Conference on Learning Representations (ICLR 2017) PDF Earlier arXiv version Semantic Regularisation for Recurrent Image Annotation F. Liu, T. Xiang, T. Hospedales, W. Yang and C. Sun Computer Vision and Pattern Recognition (CVPR 2017) DOI PDF Gated Neural Networks for Option Pricing: Rationality by Design Yongxin Yang, Yu Zheng, Timothy M. Hospedales AAAI Conference on Artificial Intelligence (AAAI 2017) www preprint Multi-Task Zero-Shot Action Recognition with Prioritised Data Augmentation X. Xu, T. M. Hospedales and S. Gong European Conference on Computer Vision (ECCV 2016) PDF Data Zero-Shot Crowd Behaviour Recognition X. Xu, S. Gong and T. M. Hospedales In Murino, Shah, Cristani, Savarese (Eds.), Group and Crowd Behaviour Understanding in Computer Vision, Elsevier, 2016 PDF preprint Deep Multi-task Attribute-driven Ranking for Fine-grained Sketch-based Image Retrieval J. Song, Y-Z. Song, T. Xiang, T. Hospedales and X. Ruan British Machine Vision Conference (BMVC 2016, Oral) DOI PDF Multivariate Regression on the Grassmannian for Predicting Novel Domains Yongxin Yang and Timothy M. Hospedales IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016) DOI PDF Code Sketch Me That Shoe Qian Yu, Feng Liu, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales, Chen Change Loy IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016, Oral) DOI PDF Dataset and Code ForgetMeNot: Memory-Aware Forensic Facial Sketch Matching Shuxin Ouyang, Timothy M. Hospedales, Yi-Zhe Song and Xueming Li IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016, Spotlight) DOI PDF Dataset and Code Gaussian Visual-Linguistic Embedding for Zero-Shot Recognition T. Mukherjee and T. Hospedales Empirical Methods in Natural Language Processing (EMNLP 2016) URL PDF Code and Data (Trained Word Gaussians) Fine-Grained Sketch-Based Image Retrieval: The Role of Part-Aware Attributes Ke Li, Kaiyue Pang, Yi-Zhe Song, Timothy Hospedales, Honggang Zhang and Yichuan Hu IEEE Winter Conference on Applications of Computer Vision (WACV 2016) DOI PDF Dataset Towards Bottom-Up Analysis of Social Food Jaclyn Rich, Hamed Haddadi, Timothy M. Hospedales ACM Digital Health Conference (ACM DH 2016) DOI PDF Dataset A Unified Perspective on Multi-Domain and Multi-Task Learning Yongxin Yang and Timothy M. Hospedales International Conference on Learning Representations (ICLR 2015) PDF Demo Code Sketch-a-Net that Beats Humans Q. Yu, Y. Yang, Y-Z. Song, T. Xiang and T. Hospedales British Machine Vision Conference (BMVC 2015, Oral) * First to surpass human performance at sketch recognition! * Best paper Prize! DOI PDF Extended Journal Version Code and Model Files Transferring a Semantic Representation for Person Re-Identification and Search Zhiyuan Shi, Timothy M. Hospedales and Tao Xiang IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2015) DOI PDF preprint Supplementary Material Making Better Use of Edges via Perceptual Grouping Yonggang Qi, Yi-Zhe Song, Tao Xiang, Honggang Zhang, Timothy Hospedales, Yi Li and Jun Guo IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2015) DOI PDF preprint Probabilistic Graphical Models Parameter Learning with Transferred Prior and Constraints Yun Zhou, Norman Fenton, Timothy M. Hospedales and Martin Neil Uncertainty in Artificial Intelligence (UAI 2015) * Oral Paper! PDF preprint Semantic Embedding Space for Zero-Shot Action Recognition Xun Xu, Timothy M. Hospedales and Shaogang Gong International Conference on Image Processing (ICIP 2015) * Recognized as Top 10% paper! DOI PDF Weakly Supervised Learning of Objects, Attributes and their Associations Zhiyuan Shi, Yongxin Yang, Timothy M. Hospedales and Tao Xiang European Conference on Computer Vision (ECCV 2014) PDF Extended Journal Version Project Page and Code Transductive Multi-view Embedding for Zero-Shot Recognition and Annotation Y. Fu, T. Hospedales, T. Xiang, Z. Fu and S. Gong European Conference on Computer Vision (ECCV 2014) PDF Interestingness Prediction by Robust Learning to Rank Y. Fu, T. Hospedales, T. Xiang, S. Gong and Y. Yao European Conference on Computer Vision (ECCV 2014) PDF Cross-Modal Face Matching: Beyond Viewed Sketches S. Ouyang, T. Hospedales, Y.-Z. Song and X. Li Asian Conference on Computer Vision (ACCV 2014) PDF Project Page, Dataset and Code Transductive Multi-label Zero-shot Learning Y. Fu, Y. Yang, T. Hospedales, T. Xiang and S. Gong British Machine Vision Conference (BMVC 2014) * Oral presentation PDF Re-identification: Hunting Attributes in the Wild R. Layne, T. Hospedales and S. Gong British Machine Vision Conference (BMVC 2014) * Oral presentation PDF Fine-grained sketch-based image retrieval by matching deformable part models Y. Li, T. Hospedales, Y.-Z. Song and S. Gong British Machine Vision Conference (BMVC 2014) PDF Code and Data Open-world Person Re-Identification by Multi-Label Assignment Inference B. Cancela, T. Hospedales and S. Gong British Machine Vision Conference (BMVC 2014) PDF Bayesian Joint Topic Modelling for Weakly Supervised Object Localisation Zhiyuan Shi, Timothy M. Hospedales and Tao Xiang International Conference on Computer Vision (ICCV 2013) DOI PDF Supplementary Material A Unifying Theory of Active Discovery and Learning T. M. Hospedales, S. Gong and T. Xiang European Conference on Computer Vision, (ECCV 2012) PDF preprint Attribute Learning for Understanding Unstructured Social Activity Y. Fu, T. M. Hospedales, S. Gong and T. Xiang European Conference on Computer Vision, (ECCV 2012) PDF dataset Stream-based Joint Exploration-Exploitation Active Learning C. C. Loy, T. M. Hospedales, T. Xiang, and S. Gong IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2012) * Oral presentation PDF code Person Re-identification by Attributes R. Layne, T. M. Hospedales and S. Gong British Machine Vision Conference, (BMVC 2012) PDF datasets A real-time dictionary based approach to super-resolution for surveillance T. M. Hospedales, S. Gong and T. Xiang SPIE Security and Defence Conference (2012) * Oral presentation Learning Tags from Unsegmented Videos of Multiple Human Actions T. M. Hospedales, S. Gong and T. Xiang IEEE International Conference on Data Mining, (ICDM 2011) * Oral presentation DOI PDF demo video datasets Finding Rare Classes: Adapting Generative and Discriminative Models in Active Learning T. M. Hospedales, S. Gong and T. Xiang The 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining, (PAKDD 2011) * Oral presentation PDF Learning Rare Behaviours, J. Li, T. M. Hospedales, S. Gong and T. Xiang Asian Conference on Computer Vision, (ACCV 2010) PDF code datasets A Markov Clustering Topic Model for Mining Behaviour in Video T. M. Hospedales, S. Gong and T. Xiang International Conference on Computer Vision, (ICCV 2009) * Most popular ICCV 2009 paper on sciweavers! DOI PDF demo video datasets code A Unified Approach for Adaptive Multiple Feature Tracking for Surveillance Applications E. Zelniker, T. M. Hospedales, S. Gong and T. Xiang British Machine Vision Conference, (BMVC 2009) PDF An Adaptive Machine Director T. M. Hospedales and O. Williams British Machine Vision Conference, (BMVC 2008) * Oral presentation PDF Structure Inference for Bayesian Multisensory Perception and Tracking T. M. Hospedales, J. Cartwright and S. Vijayakumar International Joint Conference on Artificial Intelligence, (IJCAI 2007) . * Oral presentation PDF project details Chapter / Workshop / Other Meta-Learning Transferable Active Learning Policies by Deep Reinforcement Learning K. Pang, M. Dong, Y. Wu, T. M. Hospedales International Workshop on Automatic Machine Learning (ICML AutoML 2018) * Best paper Prize! PDF Deep Neural Decision Trees Y. Yang, I. G. Morillo, T. M. Hospedales ICML Workshop on Human Interpretability in Machine Learning (ICML WHI 2018) arXiv Github code A Dataset for Persistent Multi-Target Multi-Camera Tracking in RGB-D R. Layne, S. Hannuna, M. Camplani, J. Hall, T. M. Hospedales, T. Xiang, M. Mirmehdi, D. Damen CVPR workshop on Target Re-Identification and Multi-Target Multi-Camera Tracking (CVPR REID-MTMCT Workshop 2017) PDF Dataset Deep Mutual Learning Y. Zhang, T. Xiang, T. M. Hospedales, H. Lu IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018) DOI PDF arXiv version Github Code Deep Stock Representation Learning: From Candlestick Charts to Investment Decisions G. Hu, Y. Hu, K. Yang, Z. Yu, F. Sung, Z. Zhang, F. Xie, J. Liu, N. Robertson, T. Hospedales, Q. Miemie International Conference on Acoustics, Speech and Signal Processing (ICASSP 2018) PDF web Longer arXiv version Trace Norm Regularised Deep Multi-Task Learning Yongxin Yang and Timothy M. Hospedales International Conference on Learning Representations Workshop (ICLR Workshop 2017) arXiv Unifying Multi-Domain Multi-Task Learning: Tensor and Neural Network Perspectives Yongxin Yang and Timothy M. Hospedales In G. Csurka (Ed.), Domain Adaptation in Computer Vision Applications , Springer, 2017 www arXiv Deep Multi-task Representation Learning: A Tensor Factorisation Approach Yongxin Yang and Timothy M. Hospedales arXiv preprint arXiv:1605.06391 (arXiv 2016) arXiv Zero-Shot Domain Adaptation via Kernel Regression on the Grassmannian Yongxin Yang and Timothy M. Hospedales International Workshop on Differential Geometry in Computer Vision for Analysis of Shapes, Images and Trajectories (Diff-CV 2015) PDF When Face Recognition Meets with Deep Learning: an Evaluation of Convolutional Neural Networks for Face Recognition G. Hu, Y. Yang, D. Yi, J. Kittler, W. Christmas, S. Z. Li, T. Hospedales ChaLearn Looking at People - ICCV Workshop (ChaLearn LAP 2015) DOI PDF Code Pre-trained matconvnet models (2GB) Investigating Open-World Person Re-identification Using a Drone R. Layne, T.M. Hospedales and S. Gong ECCV Workshop on Visual Surveillance and Re-identification, (VS-RE-ID-2014) PDF preliminary preprint Datasets Domain Transfer for Person Re-identification Ryan Layne, Timothy Hospedales and Shaogang Gong In Proc. ACM International Conference on Multimedia, Workshop on Analysis and Retrieval of Tracked Events and Motion in Imagery Streams (ARTEMIS 2013) DOI PDF preprint The Re-Identification Challenge S. Gong, M. Cristani, C.C. Loy and T. Hospedales In Gong, Cristani, Yan, Loy (Eds.), Person Re-Identification , Springer, December 2013 PDF preprint Attributes-based Re-identification Ryan Layne, Timothy M. Hospedales and Shaogang Gong In Gong, Cristani, Yan, Loy (Eds.), Person Re-Identification , Springer, December 2013 PDF preprint Cross-Domain Traffic Scene Understanding by Motion Model Transfer Xun Xu, Shaogang Gong and Timothy Hospedales ACM International Conference on Multimedia, Workshop on Analysis and Retrieval of Tracked Events and Motion in Imagery Streams (ARTEMIS 2013) DOI PDF preprint Towards Person Identification and Re-Identification With Attributes R. Layne, T. M. Hospedales and S. Gong ECCV Workshop on Re-identification, (Re-Id 2012) PDF datasets Generative Probabilistic Modeling: Understanding Causal Sensorimotor Integration Sethu Vijayakumar, Timothy Hospedales and Adrian Haith In Trommershauser, Kording & Landy (Eds), Sensory Cue Integration , Oxford University Press, (2011) WWW Preprint PDF Bayesian Multisensory Perception T. M. Hospedales PhD Thesis, University of Edinburgh, (2008). Research Group Postdocs Yongxin Yang Lifelong Learning, Deep Learning, Meta-Learning Henry Gouk Reliable Machine Learning PhD Students Miguel Jacques (CDT) Extrapolation in Deep Networks Carl Allen (CDT) Theoretical Analysis of Embedding Models Ivana Balazevic (CDT) Relation Prediction Kunkun Pang Active Learning & Perception Tanmoy Mukherjee Vision & Language, Semantic Embeddings Chenyang Zhao Lifelong learning for Robotics and Control Marija Jegorova Lifelong learning for Robotics and Control Xueting Zhang Few Shot, Continual Learning Boyan Gao Graph Convolution, Unsupervised Deep Learning PhD Students, Co-supervisor Da Li Cross-domain Transfer Learning Conghui Hu Cross-domain, Sketches, Face Recognition PhD Students, Visiting Gabriel B. P. Costa Structured Video Analysis, Generative Adversarial Nets Jia Jieru Person Identification Yuting Qiang Generative, Graphical Models in Vision Yiying Li Domain Generalisation. Deep RL. Postdocs, Alum Ryan Layne Person Re-identification, Transfer Learning PhD Students, Graduated Yongxin Yang Lifelong Learning, Deep Learning Yanwei Fu Transfer Learning, Zero-shot Learning, Attributes, Learning to Rank Faculty at Fudan University, PRC Ryan Layne Person Re-identification, Attributes Yun Zhou Transfer Learning in Bayesian Networks Goldsmiths Faculty at NUDT, PRC Zhiyuan (Patrick) Shi Weakly Supervised Learning, Attributes Imperial College London Yi Li Cross-domain matching, Sketches, SBIR (Alex) Xun Xu Visual Surveillance, Action Recognition, Transfer Learning National University of Singapore Teaching Classes 2018/19: Semester A Introduction to Vision and Robotics, Image and Vision Computing 2017/18: Semester A Introduction to Vision and Robotics, Image and Vision Computing 2016/17: Semester B Inf1 - Object Oriented Programming 2015/16: Semester A Data Mining, Machine Learning, Procedural Programming 2014/15: Semester A Data Mining, Procedural Programming 2014/15: Semester B Java (BUPT) 2013/14: Semester A Data Mining 2013/14: Semester B Semantic Web 2012/13: Semester A Information Systems 2012/13: Semester B Semantic Web Back to top Updated Nov 2018 Page created using bootstrap diff --git a/src/data/compiled_bios/5389.txt b/src/data/compiled_bios/5389.txt new file mode 100644 index 0000000000..2dee9d3335 --- /dev/null +++ b/src/data/compiled_bios/5389.txt @@ -0,0 +1 @@ + Paul Jackson's Home Page I am a Senior Lecturer in the School of Informatics at the University of Edinburgh . email: Paul.Jackson (@) ed.ac.uk address: Room 2.12 Informatics Forum 10 Crichton Street Edinburgh EH8 9AB United Kingdom phone: [+44] (0)131 650 5131 fax: [+44] (0)131 651 1426 Research Interests My research interests concern the development of formal verification tools and their application in such areas as hardware verification, software verification, systems biology and formalised mathematics. Specific current interests include: Formal verification of cache coherence protocols supporting weak memory models. Formal verification of hybrid systems, in particular by use of deductive techniques such as realised in the KeYmaera theorem prover. Proof procedures for non-linear arithmetic and their application to hybrid systems verification. This and the previous item were topics of a recent EPSRC-funded project . Using SMT solvers and interactive theorem provers to prove software verification conditions. I have developed a tool, Victor , for augmenting the capabilities of the tools available for formally analysing programs written in the SPARK subset of Ada. In the past I have been interested in topics such as Space efficient and high performance encodings of linear temporal logic bounded model checking problems into SAT (propositional satisfiability) problems. Combining model checking and mechanical theorem proving techniques in order to verify hardware. Generalising abstraction methods. Importing formal developments of mathematics in the Mizar mathematical language into other theorem provers such as Isabelle. The design and use of interactive theorem provers. I undertook extensive work on Nuprl for my PhD and have experience with using PVS . Publications, Reports and Talks (click to view) Funding Current: Microsoft Research PhD Studentship: . Funding PhD of Kristjan Liiva. Jul 2014 -- Jun 2017 Co-I on EPSRC Grant C3: Scalable & Verified Shared Memory via Consistency-directed Cache Coherence (EP/M027317/1). V. Nagarajan (PI). Nov 2015 -- Nov 2018. Co-I on EPSRC Platform Grant The Integration and Interaction of Multiple Mathematical Reasoning Processes (EP/N014578/1). A. Ireland (PI). Nov 2015 -- Oct 2019. Recent: Co-I on EPSRC Platform Grant The Integration and Interaction of Multiple Mathematical Reasoning Processes (EP/J001058/1). A. Ireland (PI).Aug 2011 -- Oct 2015. PI for EPSRC Grant Automatic Proof Procedures for Polynomials and Special Functions (AutoPolyFun) Nov 2010 -- Feb 2015. Tools Victor , a verification condition translator for SPARK/Ada programs. Postgraduate Students Current PhD student: Kristjan Liiva . He is investigating using compositional techniques to improve the scalability of the validated integration of ODEs arising from biological applications. He is co-supervised by Grant Passmore at Aesthetic Integration and Christoph Wintersteiger at Microsoft Research, Cambridge. He started in September 2013. Previous PhD students include Andrew Sogokon . His interests were in improving the automation of formal proofs of correctness of hybrid systems. He completed his PhD January 2016, had a post-doc with Taylor Johnson at Vanderbilt University, and is currently a post-doc with Andr Platzer at Carnegie Mellon University. Grant Olney Passmore . His PhD focussed on proof procedures for non-linear arithmetic over the rationals and reals. He graduated in summer 2011. After a post-doc with me on the EPSRC-funded AutoPolyFun project, he co-founded in 2014 the financial technology startup Aesthetic Integration . Daniel Sheridan . He looked at novel encodings of bounded model checking problems into propositional satisfiability problems which can be checked by SAT solvers. He graduated November 2006, worked for the formal methods consultancy Adelard until 2015, and now works for Google. Tom Ridge . He verified a tree multicast protocol in the Isabelle and HOL-light theorem provers, improved theorem prover automation, and improved support for notions of proof context. He graduated November 2006 and is currently a Senior Lecturer in the Department of Computer Science at the University of Leicester . Professional Activities Program Committee for CICM 2017 , the 10th Conference on Intelligent Computer Mathematics , Calculemus track. Program Committee for CADE 2013 , the 24th International Conference on Automated Deduction . Co-program chair for CAV 2010 , International conference on Computer-Aided Verification . July 2010 Program Committee for VERIFY 2010 , 6th International Verification Workshop . Program Committee for AFM 2010 , 5th Workshop on Automated Formal Methods Program Committee for WING 2009 , Workshop on Invariant Generation Trustee of international CALCULEMUS Interest Group for integrating computer algebra systems and deduction systems. Dec 09 - Nov 12. Local Affiliations Within the School of Informatics, I am a member of several research institutes: the Laboratory for Foundations of Computer Science (LFCS) , the Institute for Computing Systems Architecture (ICSA) , and the Centre for Intelligent Systems and their Applications . Within CISA, I am most active with the Mathematical Reasoning Group Teaching Courses In the 2017-18 academic year I am teaching Formal Verification , a 4th year undergraduate and MSc level course. Introduction to Software Engineering , a 2nd year undergraduate course. In the past courses I have taught include: Automated Reasoning, a 4th year undergraduate and MSc level course that covered interactive theorem proving and model checking. Introduction to Computer Systems , a 2nd year undergraduate course. Verification and Test I , an MSc-level course at the ISLI. Taught foundations of verification methodology, using Verilog as the course language. Verification and Test II , an MSc-level course at the ISLI. Taught advanced verification methodology, using SystemVerilog as the course language. The CS/SE Individual Practical , a 3rd year undergraduate course. This course involved students developing a searchable peer-to-peer database in Java. IP Block Integration , an MSc module at the ISLI. This module explained how to assemble a system-level IC design from predefined and precharacterised hardware IP (Intellectual Property) blocks. It also covered current techniques for hardware design verification and design-for-test approaches. The main practical work centered around the e hardware verification language. Computer Science 1 , a 1st year undergraduate course in the School of Informatics. This course was taken by all students on Informatics related degrees. It covered topics such as programming in Java, software engineering, and algorithms and data-structures. The ISLI was the Institute for System-Level Integration , a venture run between 1999 and 2011 by 4 Scottish universities, including the University of Edinburgh, for the promotion of system-on-chip integrated circuit design. Projects Each year I supervise final year undergraduate and MSc projects. Recent subjects of projects at Edinburgh include: Developing a theory of multivariate polynomials in the Lean theorem prover Using Boogie to verify SPARK-Ada programs Verifying SPARK-Ada programs using a SAT modulo theories solver. Formalising zero-knowledge proofs in Isabelle. Evaluation of the ESC/Java static assertion checker for Java. Hardware verification using the Cadence SMV model checker. A parser for the Mizar Mathematical Library. Up till 2011 I supervised MSc projects at the Institute for System Level Integration. Projects included: Verification of a memory controller using Verisity's Specman tool and `e' language. Evaluation of Specman and the `e' language using a JTAG controller case study. Overcoming the Challenges of Timing Convergence for Next Generation SoC ASIC Devices Formal Verification of a RTL IP Block using Cadence FormalCheck. Analysis of Serial RapidIO performance and implementation of part of the physical layer specification. I have also proposed project on such topics as Building a MathWeb server for the Mizar Mathematical Library. A predicate subtyping extension for Isabelle/HOL. Bus protocol specification and verification using PSL which have not yet attracted takers. If you are looking for a project topic similar to any of the above, please get in touch. Administration My current administrative duties are: Informatics Taught MSc Year Organiser Personal Tutor Biography Sep 11-present: Senior Lecturer in Informatics at University of Edinburgh Jan-Mar 03: Visiting Fellow with the Computer Science Laboratory SRI International, Menlo Pk, California. Apr 99-Aug 11: Lecturer in Informatics at University of Edinburgh and in System Level Integration at Institute for System level Integration 98-Mar 99 Lecturer in Informatics at University of Edinburgh. 95-98 Research Fellow in Computer Science at University of Edinburgh. 88-95: MS, PhD degrees and post-doc in Computer Science at Cornell University, Ithaca NY, USA. Most of this time I was involved with the Nuprl project. 86-88: MS in Physics at Cornell University. Studied electron spin resonance in sapphire substrates using superconducting microstrip resonators. 84-86: Designed application-specific ICs for US General Electric in North Carolina, USA. 81-84: Undergraduate in Engineering at University of Cambridge, England. Electrical Sciences Tripos in 3rd year. Paul Jackson Last modified: Tue 7 Feb 2017 diff --git a/src/data/compiled_bios/539.txt b/src/data/compiled_bios/539.txt new file mode 100644 index 0000000000..f317e2e3d6 --- /dev/null +++ b/src/data/compiled_bios/539.txt @@ -0,0 +1 @@ +Michael J. O\'Donnell Professor EmeritusDepartment of Computer Science Email: odonnell@cs.uchicago.edu Phone: (773) 702-1269 Website: http://people.cs.uchicago.edu/~odonnell Research: internet protocols, sound Biography Education BS in Computer Sciences, Purdue University, 1972 PhD in Computer Science, Cornell University, 1976 Research I am interested in all types of interaction between computation and logic: in software applications, in the foundations of computer science, and in the conceptual foundations of other fields. I study models for the digital description and production of sound. I am investigating minimal network infrastructure to support public key cryptography/signature, based on the "nym" idea of self-signed key records. In the past, I designed and implemented the first lazy functional programming language, defined precisely by the rules of equational logic. I have also investigated computational semantics for nonclassical logics, leading to a new understanding of constructive logic as a logic of proofs that can be communicated accurately in spite of some discrepancies in the language. diff --git a/src/data/compiled_bios/5390.txt b/src/data/compiled_bios/5390.txt new file mode 100644 index 0000000000..a8cd8b8ae2 --- /dev/null +++ b/src/data/compiled_bios/5390.txt @@ -0,0 +1 @@ + University Homepage School Homepage School Contacts School Search Kyriakos Kalorkoti Position Senior Lecturer Roles Member of Laboratory for Foundations of Computer Science Project supervision of Honours Project Project supervision of MSc Dissertation School Academic Misconduct Officer of Informatics Student Services Research Interests Computational complexity, computer algebra, decision problems in group theory. Email Address Office,Telephone IF-5.26A,+44 (0) 131 650 5149 Publications - Edinburgh Research Explorer Home : People Informatics Forum, 10 Crichton Street, Edinburgh, EH8 9AB, Scotland, UK Tel: +44 131 651 5661, Fax: +44 131 651 1426, E-mail: school-office@inf.ed.ac.uk Database generated page, please contact us with any comments or corrections. Logging and Cookies Unless explicitly stated otherwise, all material is copyright The University of Edinburgh diff --git a/src/data/compiled_bios/5391.txt b/src/data/compiled_bios/5391.txt new file mode 100644 index 0000000000..0e5cfe4468 --- /dev/null +++ b/src/data/compiled_bios/5391.txt @@ -0,0 +1 @@ + University Homepage School Homepage School Contacts School Search Martti Karvonen Position University Teacher Email Address Office,Telephone Home : People Informatics Forum, 10 Crichton Street, Edinburgh, EH8 9AB, Scotland, UK Tel: +44 131 651 5661, Fax: +44 131 651 1426, E-mail: school-office@inf.ed.ac.uk Database generated page, please contact us with any comments or corrections. Logging and Cookies Unless explicitly stated otherwise, all material is copyright The University of Edinburgh diff --git a/src/data/compiled_bios/5392.txt b/src/data/compiled_bios/5392.txt new file mode 100644 index 0000000000..f9fa20f837 --- /dev/null +++ b/src/data/compiled_bios/5392.txt @@ -0,0 +1 @@ + University Homepage School Homepage School Contacts School Search Elham Kashefi Position Personal Chair in Quantum Computing Roles Member of Laboratory for Foundations of Computer Science Fellowship of Full Session [Sem 1 and Sem 2] Research Interests Models of quantum computing and their structural relations, exploring new applications, algorithms and cryptographic protocols for quantum information processing device. Email Address Office,Telephone IF-5.30,+44 (0) 131 651 5631 Publications - Edinburgh Research Explorer Personal Page Home : People Informatics Forum, 10 Crichton Street, Edinburgh, EH8 9AB, Scotland, UK Tel: +44 131 651 5661, Fax: +44 131 651 1426, E-mail: school-office@inf.ed.ac.uk Database generated page, please contact us with any comments or corrections. Logging and Cookies Unless explicitly stated otherwise, all material is copyright The University of Edinburgh diff --git a/src/data/compiled_bios/5393.txt b/src/data/compiled_bios/5393.txt new file mode 100644 index 0000000000..0ab2a6c5ab --- /dev/null +++ b/src/data/compiled_bios/5393.txt @@ -0,0 +1 @@ + Frank Keller Institute for Language, Cognition and Computation School of Informatics, University of Edinburgh Research People Publications Projects Teaching Resources Contact Introduction I am a professor in the School of Informatics at the University of Edinburgh . I am affiliated with EdinburghNLP, the Natural Language Processing Group at the University of Edinburgh. My research focuses on how people solve complex tasks such as understanding language or processing visual information. My approach to understanding human cognition combines experimental techniques such eyetracking with computational modeling. Eyetracking makes it possible to build up a highly accurate picture of where people look when they read a sentence, speak a word, or view a visual scene. The data generated by eyetracking experiments allows us to build computational models that simulate the behavior we want to study. Such models predict, for instance, which words humans fixate when they read a text, or which objects they focus on when searching a visual scene. Watch a short video about my research: Watch a long video about my research: News If you want to work on large-scale cognitive modeling, for instance of language processing or visual cognition, consider applying to our Centre for Doctoral Training in Data Science. There's an article in the New Scientist about our work on scan patterns during sentence production: Where you Look Predicts what're Going to Say. Frank Keller, Institute for Language, Cognition and Computation, University of Edinburgh diff --git a/src/data/compiled_bios/5394.txt b/src/data/compiled_bios/5394.txt new file mode 100644 index 0000000000..c041d1ac6b --- /dev/null +++ b/src/data/compiled_bios/5394.txt @@ -0,0 +1 @@ + Mohsen Khadem Lecturer in Robotics Institute for Perception, Action and Behaviour School of Informatics University of Edinburgh Email: mohsen.khadem@ed.ac.uk Address: Room 144.A, Informatics Forum, 10 Crichton St, Edinburgh EH8 9AB, U.K. Lab Website Background I joined the School of Informatics at the University of Edinburgh in 2018. Previously I was a Post- Doctoral Researcher at the Wellcome/EPSRC Centre for Interventional and Surgical Sciences, University College London. I recieved my Ph.D. in Electrical and Computer Engineering from the University of Alberta, Canada in 2017, my M.Sc. in Biomechanics from the Sharif University of Technology, Iran, in 2013, and my B.Sc. in Mechanical Engineering from Shiraz University, Iran, in 2010. Research My research interests are in surgical robotics and image-guided therapies. My research typically focuses on the clinical problem first, and work with surgeon collaborators to determine the best devices and theoretical approaches to solve it, which may be new robots or novel algorithms. Our projects typically involve the design and modelling of robotic systems for less invasive and/or more accurate surgery, developing control strategies for inner body manipulation of the surgical robots, and fusing image guidance to help the surgeon perform surgery more accurately. My main research topics are: Surgical Robotics and Image-guided Therapies Continuum and Flexible Robots Mechanics-based Modeling and Simulation Applications of Control Theory in Robotics Publications Recent publications are listed here . Teaching ---- diff --git a/src/data/compiled_bios/5395.txt b/src/data/compiled_bios/5395.txt new file mode 100644 index 0000000000..9749dbab87 --- /dev/null +++ b/src/data/compiled_bios/5395.txt @@ -0,0 +1 @@ + University Homepage School Homepage School Contacts School Search Aggelos Kiayias Position Chair in Cyber Security and Privacy Roles Member of Laboratory for Foundations of Computer Science Director of Blockchain Laboratory Personal Tutor of Informatics MSc Students Project supervision of Honours Project Project supervision of MSc Dissertation Email Address Office,Telephone IF-5.16,+44 (0) 131 650 5129 Publications - Edinburgh Research Explorer Home : People Informatics Forum, 10 Crichton Street, Edinburgh, EH8 9AB, Scotland, UK Tel: +44 131 651 5661, Fax: +44 131 651 1426, E-mail: school-office@inf.ed.ac.uk Database generated page, please contact us with any comments or corrections. Logging and Cookies Unless explicitly stated otherwise, all material is copyright The University of Edinburgh diff --git a/src/data/compiled_bios/5396.txt b/src/data/compiled_bios/5396.txt new file mode 100644 index 0000000000..9c12464982 --- /dev/null +++ b/src/data/compiled_bios/5396.txt @@ -0,0 +1 @@ + Simon King Professor of Speech Processing Linguistics and English Language School of Philosophy, Psychology and Language Sciences University of Edinburgh and director of the Centre for Speech Technology Research Room 3.11, Informatics Forum 10 Crichton Street Edinburgh EH8 9AB United Kingdom Tel: +44 131 651 1725 Fax: +44 131 650 4587 email: Simon.King@ed.ac.uk blog: speech.zone Research A fundamental question is: What are the basic building blocks of speech? To answer this question, I am working in a number of areas. In speech recognition, I am looking at new acoustic models , such as Linear Dynamical Models, factorial-HMMs and other graphical models that can represent speech not as 'beads on a string' but as streams of interacting factors. I've investigated ways to automatically find an inventory of suitable units to model, as well as working on other alterntives to phonetic units, such as graphemes . One long-standing interest is the use of phonological/acoustic/articulatory features and articulatory measurement data as a tool to develop models of speech. In speech synthesis, I work on both unit selection methods and HMM-based speech synthesis . In both of these areas, the definition of the unit of speech is crucial. Both typically use context-dependent phonemes or diphones so, in this context, we can gain some insight into the basic building blocks of speech by asking "What contextual features must we model?" In unit selection, this means learning the target cost and in HMM-based speech synthesis, it relates to the clustering of acoustically similar units. Neither of these processes is entirely satisfactory, but to improve them requires a better understanding of how we can construct speech from basic units. I am increasingly interested in perceptual measures in speech synthesis, not just for evaluation of the final output, but within the synthesis process itself. In unit selection, perceptual measures should be used to determine equivalent units or contexts, because acoustic similarity and perceptual interchangeability are not the same thing. In HMM-based speech synthesis, the training criterion should be perceptual: perhaps minimum generation error gives us a way to use such a criterion? How can the requirements of acoustic modelling fit with this idea of perceptual equivalence? In both recognition and synthesis, I have recently started work on multilingual systems as an additional way to look at the basic units of speech. Is there a univeral set of building blocks for speech, and can we build systems that use common models or unit inventories for multiple languages? Current research funding NST - Natural Speech Technology (EPSRC 2011 - 2016) Simple4All - Speech synthesis that improves through adaptive learning (EC FP7 2011 - 2014) INSPIRE - Marie Curie Initial Training Network (EC FP7 2012 - ) Recently completed research grants Effective Multilingual Interaction in Mobile Environments - EMIME (EC FP7 March 2008 - Feb 2011) Study of Source Features for Speech Synthesis and Speaker Recognition (UKIERI April 2007 - March 2011) LISTA - The Listening Talker (EC FP7 2010 - 2013) Publications See my publications page Positions I hold Member of Editorial Board of Computer Speech and Language Co-organiser of the Blizzard series of speech synthesis evaluations. Member of the IEEE Speech and Language Processing Technical Committee and positions I have recently held Associate editor from 2006 to 2009 of IEEE Transactions on Audio, Speech and Language Processing Secretary and Treasurer of ISCA Speech Synthesis Special Interest Group (SynSIG) Board member of the European Masters in Language and Speech Research fellows I currently work with Mirjam Wester - LISTA and NST projects Christophe Veaux - voice reconstruction Oliver Watts - NST project Cssia Valentini Botinho - speech synthesis Gustav Henter - NST project Zhizheng Wu - NST project PhD students (in chronological order) As principal or co-supervisor Rasmus Dall - speech synthesis Tom Merritt - speech synthesis Srikanth Ronanki - prosody for speech synthesis Felipe Espic - waveform generation for speech synthesis As second supervisor or advisor Michael Berger Herman Kamper Kathrin Haag Andrew Macleod Former students If you are interested in studying for a PhD at CSTR, you can find more information here or here Travel plans / busy periods This calendar displays all dates for the next few months when I will be away from the office. Click an event to get details and location. Teaching Office hours By appointment - you can request a time on my Doodle MeetMe page . Courses Speech Processing Speech Synthesis Programme Director for the M.Sc. in Speech and Language Processing Personal Why not look at some nice bike rides and walks or you could learn Spanish . diff --git a/src/data/compiled_bios/5397.txt b/src/data/compiled_bios/5397.txt new file mode 100644 index 0000000000..94388129a4 --- /dev/null +++ b/src/data/compiled_bios/5397.txt @@ -0,0 +1 @@ + Ewan Klein Navigation Home Publications Projects Students I am Professor Emeritus of Language Technology in the University of Edinburghs School of Informatics . From September 2017, I am also a Turing Fellow at the Alan Turing Institute . Research My research career spans a range of topics, including theoretical linguistics; computational phonology, syntax and semantics; spoken dialogue with mobile robots; text mining in domains such as medical biology and digital history; the use, interpretation and social embedding of different forms of data in the context of Living Labs and the Internet of Things. Current Initiatives Edinburgh Living Lab I am a Co-Founder and Co-Director of Edinburgh Living Lab , an organisation that focuses on data and design thinking to stimulate innovation, developed in collaboration with the City of Edinburgh Council and a range of public, third and private sector partners. University IoT Service I am the Programme Sponsor for the Universitys Internet of Things Initiative . We are building the facilities and supporting services that will enable research and teaching at the University to safely and responsibly explore the rapidly expanding world of connected devices. Prewired I am a Founder and the Chair of the Board of Trustees of Prewired , a Scottish Charity that provides an unstructured but supportive environment for under 19s to explore and learn about computer programming and related topics. Open Knowledge Scotland I am Ambassador for the Scotland Local Group of Open Knowledge International , supporting open knowledge initiatives in key sectors such as local government, education, health, energy and cultural heritage. orcid.org/0000-0002-0520-8447 Google Scholar About This Site More Services Contact RSS Atom sitemap.xml Thanks Icons by Daniel Bruce Built on Foundation Using Backstretch by Scott Robbin diff --git a/src/data/compiled_bios/5398.txt b/src/data/compiled_bios/5398.txt new file mode 100644 index 0000000000..9812bb650f --- /dev/null +++ b/src/data/compiled_bios/5398.txt @@ -0,0 +1 @@ + philipp koehn Professor at the University of Edinburgh Chair of Machine Translation School of Informatics 10 Crichton Street, room 4.19 Edinburgh, EH8 9AB, United Kingdom Fax: +44 131 650-6626 Fon: +44 131 650-8287 pkoehn@inf.ed.ac.uk Resume Wikipedia My work is currently focused on statistical machine translation ( video ), but more broadly defined, my interest is to make use of the vast amount of information that is available in digital form. My book on statistical machine translation is now available from amazon.uk and amazon.com . More on the Statistical Machine Translation Group here. Come and join our weekly meeting ! Starting January 2014, I will be mainly at Johns Hopkins University, but remain affiliated with the University of Edinburgh. software and resources Statistical Machine Translation Website Text book , 2010 Moses , an open source statistical machine translation system Online Translation , based on Moses SMT Research Survey Wiki , a Wiki covering all research publications in statistical machine translation Online Evaluation Matrix , EuroMatrix project Computer Aided Translation Tool Caitra , EuroMatrixPlus project Pharaoh , 2003, 2004, a beam search decoder for phrase-based statistical machine translation models (replaced by Moses) Parallel Corpus European Parliament Proceedings , 2001, 2003, 2007. German-English Parallel Corpus "de-news", Daily News 1996-2000 , 2000. teaching Machine Translation , Spring 2009-2011. Advanced Natural Language Processing , Fall 2008-2012. Empirical Methods in Natural Language Processing , Spring 2007, 2008. Data Intensive Linguistics , Spring 2006. Computer Programming , Fall 2005-2007. advising Maria Nadejde , PhD student, 2012- Christian Buck, PhD student, 2011- Liane Guillou , PhD student, 2012-2016 Eva Hasler , PhD student, 2010-2015 Philip Williams , PhD student, 2009-2014 Michael Auli , PhD student, 2008-2012 Loc Dugast , PhD student, 2006-2012 Hieu Hoang , PhD student, 2005-2011 Abhishek Arun , PhD student, 2005-2010 Information about applying to study for a PhD or MSc in Informatics at Edinburgh. projects CASMACAT , EC FP7 STREP, 2011-2014 MateCat , EC FP7 STREP, 2011-2014 ACCEPT , EC FP7 STREP, 2012-2015 MosesCore , EC FP7 CSA, 2012-2015 EU BRIDGE , EC FP7 IP, 2012-2015 BOLT, DARPA subcontract, 2011- Let's MT , EC ICT-PSP, 2010-2012 EuroMatrixPlus , EC FP7 STREP, 2009-2012 EuroMatrix , EC FP6 STREP, 2006-2009 AGILE, DARPA subcontract, 2005-2011 JHU Summer Workshop, 2006 video CNN, 2013 Research in a Nutshell Inaugural lecture European Inventor Award, 2013 finalist French TV, 2010 publications 2014 The MATECAT Tool , Federico, Marcello and Bertoldi, Nicola and Cettolo, Mauro and Negri, Matteo and Turchi, Marco and Trombetti, Marco and Cattelan, Alessandro and Farina, Antonio and Lupinetti, Domenico and Martines, Andrea and Massidda, Alberto and Schwenk, Holger and Barrault, Loc and Blain, Frederic and Koehn, Philipp and Buck, Christian and Germann, Ulrich , Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: System Demonstrations, 2014, pdf , bib . Preference Grammars and Soft Syntactic Constraints for GHKM Syntax-based Statistical Machine Translation , Huck, Matthias and Hoang, Hieu and Koehn, Philipp , Proceedings of SSST-8, Eighth Workshop on Syntax, Semantics and Structure in Statistical Translation, 2014, pdf , bib . Edinburgh SLT and MT System Description for the IWSLT 2014 Evaluation , Alexandra Birch and Matthias Huck and Nadir Durrani and Nikolay Bogoychev and Philipp Koehn , Proceedings of the International Workshop on Spoken Language Translation (IWSLT), 2014, pdf . Combined Spoken Language Translation , Markus Freitag and Jrn Wbker and Stephan Peitz and Hermann Ney and Matthias Huck and Alexandra Birch and Nadir Durrani and Philipp Koehn and Mohammed Mediani and Isabel Slawik and Jan Niehues and Eunah Cho and Alex Waibel and Nicola Bertoldi and Mauro Cettolo and Marcello Federico , Proceedings of the International Workshop on Spoken Language Translation (IWSLT), 2014, pdf . Investigating the Usefulness of Generalized Word Representations in SMT , Durrani, Nadir and Koehn, Philipp and Schmid, Helmut and Fraser, Alexander , Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers, 2014, pdf , bib . Interactive translation prediction versus conventional post-editing in practice: a study with the CasMaCat workbench , Germn Sanchis-Trilles and Vicent Alabau and Christian Buck and Michael Carl and Francisco Casacuberta and Mercedes Garca-Martnez and Ulrich Germann and Jess Gonzlez-Rubio and Robin L. Hill and Philipp Koehn and Luis A. Leiva and Bartolom Mesa-Lao and Daniel Ortiz-Martnez and Herve Saint-Amand and Chara Tsoukala , Machine Translation, Volume 28, Number 3-4, pages 217-235, 2014. Dynamic Topic Adaptation for Phrase-based MT , Hasler, Eva and Blunsom, Phil and Koehn, Philipp and Haddow, Barry, Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, 2014, pdf , bib . CASMACAT: A Computer-assisted Translation Workbench , Alabau, Vicent and Buck, Christian and Carl, Michael and Casacuberta, Francisco and Garca-Martnez, Mercedes and Germann, Ulrich and Gonzlez-Rubio, Jess and Hill, Robin and Koehn, Philipp and Leiva, Luis and Mesa-Lao, Bartolom and Ortiz-Martnez, Daniel and Saint-Amand, Herve and Sanchis Trilles, Germn and Tsoukala, Chara , Proceedings of the Demonstrations at the 14th Conference of the European Chapter of the Association for Computational Linguistics, pdf , bib Integrating an Unsupervised Transliteration Model into Statistical Machine Translation , Durrani, Nadir and Sajjad, Hassan and Hoang, Hieu and Koehn, Philipp , Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, volume 2: Short Papers, 2014, pdf , bib Interactive translation prediction versus conventional post-editing in practice: a study with the CasMaCat workbench, Germn Sanchis-Trilles and Vicent Alabau and Christian Buck and Michael Carl and Francisco Casacuberta and Mercedes Garca-Martnez and Ulrich Germann and Jess Gonzlez-Rubio and Robin L. Hill and Philipp Koehn and Luis A. Leiva and Bartolom Mesa-Lao and Daniel Ortiz-Martnez and Herve Saint-Amand and Chara Tsoukala , Machine Translation, Volume 28, Number 3-4, pages 217-235, 2014. Improving machine translation via triangulation and transliteration , Nadir Durrani and Philipp Koehn , Proceedings of 17th Annual conference of the European Association for Machine Translation, 2014, pdf . Combining domain and topic adaptation for SMT , Eva Hasler and Barry Haddow and Philipp Koehn , Proceedings of the Eleventh Conference of the Association for Machine Translation in the Americas (AMTA), 2014, pdf . The Impact of Machine Translation Quality on Human Post-Editing , Koehn, Philipp and Germann, Ulrich , Proceedings of the EACL 2014 Workshop on Humans and Computer-assisted Translation, 2014, pdf , bib . Using Feature Structures to Improve Verb Translation in English-to-German Statistical MT , Williams, Philip and Koehn, Philipp , Proceedings of the 3rd Workshop on Hybrid Approaches to Machine Translation (HyTra), 2014, [df , bib . Refinements to Interactive Translation Prediction Based on Search Graphs , Koehn, Philipp and Tsoukala, Chara and Saint-Amand, Herve , Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2014, pdf , bib . Findings of the 2014 Workshop on Statistical Machine Translation , Bojar, Ondrej and Buck, Christian and Federmann, Christian and Haddow, Barry and Koehn, Philipp and Leveling, Johannes and Monz, Christof and Pecina, Pavel and Post, Matt and Saint-Amand, Herve and Soricut, Radu and Specia, Lucia and Tamchyna, Ale , Proceedings of the Ninth Workshop on Statistical Machine Translation, 2014, pdf , bib . Edinburgh's Phrase-based Machine Translation Systems for WMT-14 , Durrani, Nadir and Haddow, Barry and Koehn, Philipp and Heafield, Kenneth , Proceedings of the Ninth Workshop on Statistical Machine Translation, 2014, pdf , bib . EU-BRIDGE MT: Combined Machine Translation , Freitag, Markus and Peitz, Stephan and Wuebker, Joern and Ney, Hermann and Huck, Matthias and Sennrich, Rico and Durrani, Nadir and Nadejde, Maria and Williams, Philip and Koehn, Philipp and Herrmann, Teresa and Cho, Eunah and Waibel, Alex , Proceedings of the Ninth Workshop on Statistical Machine Translation, 2014, pdf , bib . Edinburgh's Syntax-Based Systems at WMT 2014 , Williams, Philip and Sennrich, Rico and Nadejde, Maria and Huck, Matthias and Hasler, Eva and Koehn, Philipp , Proceedings of the Ninth Workshop on Statistical Machine Translation, 2014, pdf , bib . Dynamic Topic Adaptation for SMT using Distributional Profiles , Hasler, Eva and Haddow, Barry and Koehn, Philipp , Proceedings of the Ninth Workshop on Statistical Machine Translation, 2014, pdf , bib . Augmenting String-to-Tree and Tree-to-String Translation with Non-Syntactic Phrases , Huck, Matthias and Hoang, Hieu and Koehn, Philipp , Proceedings of the Ninth Workshop on Statistical Machine Translation, 2014, pdf , bib . 2013 Grouping Language Model Boundary Words to Speed K-Best Extraction from Hypergraphs , Kenneth Heafield; Philipp Koehn; Alon Lavie , Proceedings of the Conference of the North American Chapter of the Association for Computational Linguistics (NAACL), pdf , bib . Dirt Cheap Web-Scale Parallel Text from the Common Crawl , Jason R. Smith, Herve Saint-Amand, Magdalena Plamada, Philipp Koehn, Chris Callison-Burch, and Adam Lopez , Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (ACL), pdf , bib . Learning to Prune: Context-Sensitive Pruning for Syntactic MT , Wenduan Xu, Yue Zhang, Philip Williams, and Philipp Koehn , Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (ACL), pdf , bib . Can Markov Models Over Minimal Translation Units Help Phrase-Based SMT? , Nadir Durrani, Alexander Fraser, Helmut Schmid, Hieu Hoang, and Philipp Koehn , Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (ACL), pdf , bib . Scalable Modified Kneser-Ney Language Model Estimation , Kenneth Heafield, Ivan Pouzyrevsky, Jonathan H. Clark, and Philipp Koehn , Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (ACL), pdf , bib . Abstract Meaning Representation for Sembanking , Laura Banarescu, Claire Bonial, Shu Cai, Madalina Georgescu, Kira Griffitt, Ulf Hermjakob, Kevin Knight, Philipp Koehn, Martha Palmer, and Nathan Schneider , Proceedings of the 7th Linguistic Annotation Workshop and Interoperability with Discourse, pdf , bib . Findings of the 2013 Workshop on Statistical Machine Translation , Ondrej Bojar, Christian Buck, Chris Callison-Burch, Christian Federmann, Barry Haddow, Philipp Koehn, Christof Monz, Matt Post, Radu Soricut, and Lucia Specia , Proceedings of the Eighth Workshop on Statistical Machine Translation, pdf , bib . The Feasibility of HMEANT as a Human MT Evaluation Metric , Alexandra Birch, Barry Haddow, Ulrich Germann, Maria Nadejde, Christian Buck, and Philipp Koehn , Proceedings of the Eighth Workshop on Statistical Machine Translation, pdf , bib . Edinburgh's Machine Translation Systems for European Language Pairs , Nadir Durrani, Barry Haddow, Kenneth Heafield, and Philipp Koehn , Proceedings of the Eighth Workshop on Statistical Machine Translation, pdf , bib . Edinburgh's Syntax-Based Machine Translation Systems , Maria Nadejde, Philip Williams, and Philipp Koehn , Proceedings of the Eighth Workshop on Statistical Machine Translation, pdf , bib . Advanced Computer Aided Translation with a Web-Based Workbench , Vicent Alabau, Ragnar Bonk, Christian Buck, Michael Carl, Francisco Casacuberta, Mercedes Garcia-Martinez, Philipp Koehn, Luis Leiva , Bartolome Mesa-Lao, Herve Saint-Amand, Chara Tsoukala, German Sanchis, Daniel Ortiz and Jesus Gonzalez , The 2nd Workshop on Post-Editing Technologies and Practice, pdf . CASMACAT: An Open Source Workbench for Advanced Computer Aided Translation , Vicent Alabau, Ragnar Bonk, Christian Buck, Michael Carl, Francisco Casacuberta, Mercedes Garca-Martnez, Jess Gonzlez, Philipp Koehn, Luis Leiva, Bartolom Mesa-Lao, Daniel Ortiz, Herve Saint-Amand, Germn Sanchis, Chara Tsoukala , The Prague Bulletin of Mathematical Linguistics, Number 100, October 2013, pages 101-112, pdf . 2012 Interpolated Backoff for Factored Translation Models , Philipp Koehn and Barry Haddow , Meeting of the Association for Machine Translation of the Americas (AMTA), 2012, pdf . Language Model Rest Costs and Space-Efficient Storage , Kenneth Heafield, Philipp Koehn and Alon Lavie , Proceedings of Empirical Methods in Natural Language Processing (EMNLP), 2012, pdf . Simulating Human Judgment in Machine Translation Evaluation Campaigns , Philipp Koehn , International Workshop on Spoken Language Translation (IWSLT), 2012, pdf . Sparse Lexicalised Features and Topic Adaptation for SMT , Eva Hasler, Barry Haddow and Philipp Koehn , International Workshop on Spoken Language Translation (IWSLT), 2012, pdf . The UEDIN Systems for the IWSLT 2012 Evaluation , Eva Hasler, Peter Bell, Arnab Ghoshal, Barry Haddow, Philipp Koehn, Fergus McInnes, Steve Renals and Pawel Swietojanski , International Workshop on Spoken Language Translation (IWSLT), 2012, . Findings of the 2012 Workshop on Statistical Machine Translation , Chris Callison-Burch, Philipp Koehn, Christof Monz, Matt Post, Radu Soricut and Lucia Specia , Proceedings of the Seventh Workshop on Statistical Machine Translation (WMT), 2012, pdf , bib . Towards Effective Use of Training Data in Statistical Machine Translation , Philipp Koehn and Barry Haddow , Proceedings of the Seventh Workshop on Statistical Machine Translation (WMT), 2012, pdf , bib . GHKM Rule Extraction and Scope-3 Parsing in Moses , Philip Williams and Philipp Koehn , Proceedings of the Seventh Workshop on Statistical Machine Translation (WMT), 2012, pdf , bib . Analysing the Effect of Out-of-Domain Data on SMT Systems , Barry Haddow and Philipp Koehn , Proceedings of the Seventh Workshop on Statistical Machine Translation (WMT), 2012, pdf , bib . Extending Hiero Decoding in Moses with Cube Growing , Wenduan Xu and Philipp Koehn , The Prague Bulletin of Mathematical Linguistics, Volume 98, pages 133-142, October 2012, pdf . Hallucinated N-Best Lists for Discriminative Language Modeling , Kenji Sagae, Maider Lehr, Emily Prud'hommeaux, Puyang Xu, Nathan Glenn, Damianos Karakos, Sanjeev Khudanpur, Brian Roark, Murat Saralar, Izhak Shafran, Daniel Bikel, Chris Callison-Burch, Yuan Cao, Keith Hall, Eva Hasler, Philipp Koehn, Adam Lopez, Matt Post, Darcey Riley , IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2012, pdf . Continuous Space Discriminative Language Modeling , Puyang Xu, Sanjeev Khudanpur, Maider Lehr, Emily Prud'hommeaux, Nathan Glenn, Damianos Karakos, Brian Roark, Kenji Sagae, Murat Saralar, Izhak Shafran, Dan Bikel, Chris Callison-Burch, Yuan Cao, Keith Hall, Eva Hasler, Philipp Koehn, Adam Lopez, Matt Post, Darcey Riley , IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2012, pdf . Semi-Supervised Discriminative Language Modeling for Turkish ASR , Arda elebi, Haim Sak, Erin Dikici, Murat Saralar, Maider Lehr, Emily Tucker Prud'hommeaux, Puyang Xu, Nathan Glenn, Damianos Karakos, Sanjeev Khudanpur, Brian Roark, Kenji Sagae, Izhak Shafran, Dan Bikel, Chris Callison-Burch, Yuan Cao, Keith Hall, Eva Hasler, Philipp Koehn, Adam Lopez, Matt Post, Darcey Riley , IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2012, pdf . Deriving conversation-based features from unlabeled speech for discriminative language modeling , Damianos Karakos, Brian Roark, Izhak Shafran, Kenji Sagae, Maider Lehr, Emily Prud'hommeaux, Puyang Xu, Nathan Glenn, Sanjeev Khudanpur, Murat Saraclar, Dan Bikel, Mark Dredze, Chris Callison-Burch, Yuan Cao, Keith Hall, Eva Hasler, Philip Koehn, Adam Lopez, Matt Post and Darcey Riley , InterSpeech, 2012, pdf . 2011 Soft Dependency Constraints for Reordering in Hierarchical Phrase-Based Translation , Yang Gao, Philipp Koehn and Alexandra Birch , Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing (EMNLP), pdf , bib . Left Language Model State for Syntactic Machine Translation , Kenneth Heafield, Hieu Hoang, Philipp Koehn, Tetsuo Kiso and Marcello Federico , International Workshop on Spoken Language Translation (IWSLT), 2011, pdf . Agreement Constraints for Statistical Machine Translation into German , Philip Williams and Philipp Koehn , Proceedings of the Sixth Workshop on Statistical Machine Translation (WMT), 2011, pdf , bib . SampleRank Training for Phrase-Based Machine Translation , Barry Haddow, Abhishek Arun and Philipp Koehn , Proceedings of the Sixth Workshop on Statistical Machine Translation (WMT), 2011, pdf , bib . Findings of the 2011 Workshop on Statistical Machine Translation , Chris Callison-Burch, Philipp Koehn, Christof Monz and Omar Zaidan , Proceedings of the Sixth Workshop on Statistical Machine Translation (WMT), 2011, pdf , bib . Factored Translation Models , Philipp Koehn and Hieu Hoang , Chapter in Handbook of Natural Language Processing and Machine Translation, editors Olive, Christianson, and McCary, Springer, 2011. Margin Infused Relaxed Algorithm for Moses , Eva Hasler, Barry Haddow and Philipp Koehn , The Prague Bulletin of Mathematical Linguistics, Volume 96, pages 69-78, October 2011, pdf . What is a better translation? Reflections on six years of running evaluation campaigns , Philipp Koehn , Tralogy 2011, pdf . Machine Translation , Philipp Koehn , Chapter in Multilingual Natural Language Processing Applications: From Theory to Practice, editors Imed Zitouni and Daniel M. Bikel, IBM Press, 2012. 2010 Statistical Machine Translation , Philipp Koehn , textbook, Cambridge University Press, January 2010, web , amazon.uk , amazon.com . Enabling Monolingual Translators: Post-Editing vs. Options , Philipp Koehn , NAACL, 2010, pdf , bib . An Experimental Management System , Philipp Koehn , The Prague Bulletin of Mathematical Linguistics, number 94, pages 87-96, September 2010, pdf . Monte Carlo Techniques for Phrase-Based Translation , Abhishek Arun, Barry Haddow, Philipp Koehn, Adam Lopez, Chris Dyer and Miles Osborne , Machine Translation Journal, Volume 24, Number 2, pages 103-121, 2010. Fast Approximate String Matching with Suffix Arrays and A* Parsing , Philipp Koehn and Jean Senellart , Meeting of the Association for Machine Translation of the Americas (AMTA), 2010, pdf . Convergence of Translation Memory and Statistical Machine Translation , Philipp Koehn and Jean Senellart , AMTA Workshop on MT Research and the Translation Industry, 2010, pdf . Findings of the 2010 Joint Workshop on Statistical Machine Translation and Metrics for Machine Translation , Chris Callison-Burch, Philipp Koehn, Christof Monz, Kay Peterson, Mark Przybocki and Omar Zaidan , Fifth Workshop on Statistical Machine Translation and MetricsMATR, 2010, pdf , bib . More Linguistic Annotation for Statistical Machine Translation , Philipp Koehn, Barry Haddow, Philip Williams and Hieu Hoang , Fifth Workshop on Statistical Machine Translation and MetricsMATR, 2010, pdf , bib . Aiding Pronoun Translation with Co-Reference Resolution , Ronan Le Nagard and Philipp Koehn , Fifth Workshop on Statistical Machine Translation and MetricsMATR, 2010, pdf , bib . A Unified Approach to Minimum Risk Training and Decoding , Abhishek Arun, Barry Haddow and Philipp Koehn , Fifth Workshop on Statistical Machine Translation and MetricsMATR, 2010, pdf , bib . Improved Translation with Source Syntax Labels , Hieu Hoang and Philipp Koehn , Fifth Workshop on Statistical Machine Translation and MetricsMATR, 2010, pdf , bib . Empirical Methods for Splitting Compound Words with Application to Machine Translation , Philipp Koehn , United States Patent 7711545, awarded 2010. 2009 A process study of computer-aided translation , Philipp Koehn , Machine Translation Journal, 2009, volume 23, number 4, pages 241-263, data , pdf . Review of Cyril Goutte, Nicola Cancedda, Marc Dymetman, and George Foster (eds): Learning machine translation , Philipp Koehn , Machine Translation Journal, 2009, volume 23, number 4, pages 269-271. A Uniform Framework for Phrase-Based, Hierarchical and Syntax-Based Machine Translation , Hieu Hoang, Philipp Koehn and Adam Lopez , International Workshop on Machine Translation (IWSLT), 2009, bib , pdf . 462 Machine Translation Systems for Europe , Philipp Koehn, Alexandra Birch and Ralf Steinberger , MT Summit XII, 2009, pdf . Interactive Assistance to Human Translators using Statistical Machine Translation Methods , Philipp Koehn and Barry Haddow , MT Summit XII, 2009, pdf . Selective addition of corpus-extracted phrasal lexical rules to a rule-based machine translation system , Loc Dugast, Jean Senellart and Philipp Koehn , MT Summit XII, 2009, pdf . Monte Carlo Inference and Maximization for Phrase-based Translation , Abhishek Arun, Chris Dyer, Barry Haddow, Phil Blunsom, Adam Lopez and Philipp Koehn , Conference on Computational Natural Language Learning, 2009, pdf , bib . A Web-Based Interactive Computer Aided Translation Tool , Philipp Koehn , ACL Software demonstration, 2009, pdf , bib . Word Lattices for Multi-Source Translation , Josh Schroeder, Trevor Cohn and Philipp Koehn , EACL 2009, pdf , bib . Improving Mid-Range Re-Ordering using Templates of Factors , Hieu Hoang and Philipp Koehn , EACL 2009, pdf , bib . Findings of the 2009 Workshop on Statistical Machine Translation , Chris Callison-Burch, Philipp Koehn, Christof Monz and Josh Schroeder , EACL Workshop on Statistical Machine Translation 2009, pdf . Statistical Post Editing and Dictionary Extraction: Systran/Edinburgh submissions for ACL-WMT2009 , Loc Dugast, Jean Senellart and Philipp Koehn , EACL Workshop on Statistical Machine Translation 2009, pdf . Edinburghs Submission to all Tracks of the WMT2009 Shared Task with Reordering and Speed Improvements to Moses , Philipp Koehn and Barry Haddow , EACL Workshop on Statistical Machine Translation 2009, pdf . A Systematic Analysis of Translation Model Search Spaces , Michael Auli, Adam Lopez, Hieu Hoang and Philipp Koehn , EACL Workshop on Statistical Machine Translation 2009, pdf . Statistical Machine Translation , Philipp Koehn and Kevin Knight , United States Patent 7624005, awarded 2009. Constructing a translation lexicon from comparable, non-parallel corpora , Daniel Marcu, Kevin Knight, Dragos Munteanu, Philipp Koehn: , United States Patent 7620538, awarded 2009. 2008 Large and Diverse Language Models for Statistical Machine Translation , Holger Schwenk and Philipp Koehn , IJCNLP 2008, pdf . Enriching Morphologically Poor Languages for Statistical Machine Translation , Eleftherios Avramidis and Philipp Koehn , ACL 2008, pdf . Edinburgh University System Description for the 2008 NIST Machine Translation Evaluation , Philipp Koehn, Josh Schroeder and Miles Osborne , NIST MT Evaluation Meeting, pdf . Design of the Moses Decoder for Statistical Machine Translation , Hieu Hoang and Philipp Koehn , ACL Workshop on Software engineering, testing, and quality assurance for NLP 2008, pdf . Further Meta-Evaluation of Machine Translation , Chris Callison-Burch, Cameron Fordyce, Philipp Koehn, Christof Monz and Josh Schroeder , ACL Workshop on Statistical Machine Translation 2008, pdf . Towards better Machine Translation Quality for the German-English Language Pairs , Philipp Koehn, Abhishek Arun and Hieu Hoang , ACL Workshop on Statistical Machine Translation 2008, pdf . Can we Relearn an RBMT System? , Loic Dugastr, Jean Senellart and Philipp Koehn , ACL Workshop on Statistical Machine Translation 2008, pdf . Predicting Success in Machine Translation , Alexandra Birch, Miles Osborne and Philipp Koehn , EMNLP 2008, pdf . Phrase-Based Joint Probability Model for Statistical Machine Translation , Daniel Marcu, Kevin Knight, William Wong and Philipp Koehn , United States Patent 7454326, awarded 2008. 2007 Factored Translation Models , Philipp Koehn and Hieu Hoang , EMNLP 2007, pdf . Chinese Syntactic Reordering for Statistical Machine Translation , Chao Wang, Michael Collins and Philipp Koehn , EMNLP 2007, pdf . Moses: Open Source Toolkit for Statistical Machine Translation , Philipp Koehn, Hieu Hoang, Alexandra Birch, Chris Callison-Burch, Marcello Federico, Nicola Bertoldi, Brooke Cowan, Wade Shen, Christine Moran, Richard Zens, Chris Dyer, Ondrej Bojar, Alexandra Constantin, Evan Herbst , ACL 2007, demonstration session, pdf . (Meta-) Evaluation of Machine Translation , Chris Callison-Burch, Cameron Fordyce, Philipp Koehn, Christof Monz and Josh Schroeder , ACL Workshop on Statistical Machine Translation 2007, pdf . Experiments in Domain Adaptation for Statistical Machine Translation , Philipp Koehn and Josh Schroeder , ACL Workshop on Statistical Machine Translation 2007, pdf . CCG Supertags in Factored Statistical Machine Translation , Alexandra Birch, Miles Osborne and Philipp Koehn , ACL Workshop on Statistical Machine Translation 2007, pdf . Statistical Post-Edition on SYSTRAN Rule-Based Translation System , Loc Dugast, Jean Senellart, Michel Simard and Philipp Koehn , ACL Workshop on Statistical Machine Translation 2007, pdf . Online Learning Methods For Discriminative Training of Phrase Based Statistical Machine Translation , Abhishek Arun and Philipp Koehn , MT Summit XI, 2007. The University of Edinburgh System Description for IWSLT 2007 , Josh Schroeder and Philipp Koehn , IWSLT 2007, pdf . 2006 Improved Statistical Machine Translation Using Paraphrases , Chris Callison-Burch, Philipp Koehn and Miles Osborne , NAACL 2006, pdf . Re-evaluating the Role of Bleu in Machine Translation Research , Chris Callison-Burch, Miles Osborne and Philipp Koehn , EACL 2006, pdf . Statistical Machine Translation: the basic, the novel, and the speculative , Philipp Koehn , Tutorial at EACL 2006, slides , video: part 1 , part 2 . Manual and Automatic Evaluation of Machine Translation between European Languages , Philipp Koehn and Christof Monz , NAACL 2006 Workshop on Statistical Machine Translation, pdf . Constraining the Phrase-Based, Joint Probability Statistical Translation Model , Alexandra Birch, Chris Callison-Burch, Miles Osborne and Philipp Koehn , NAACL 2006 Workshop on Statistical Machine Translation, pdf . Edinburgh System Description for the 2006 TC-STAR Spoken Language Translation Evaluation , Abhishek Arun, Amittai Axelrod, Philipp Koehn , TC-Star Evaluation Workshop, 2006. 2005 Clause Restructuring for Statistical Machine Translation Michael Collins, Philipp Koehn, and Ivona Kucerova , ACL 2005, pdf . Shared Task: Statistical Machine Translation between European Languages , Philipp Koehn and Christof Monz ACL 2005 Workshop on Parallel Text, pdf . Europarl: A Parallel Corpus for Statistical Machine Translation , Philipp Koehn , MT Summit 2005, pdf . Edinburgh System Description for the 2005 IWSLT Speech Translation Evaluation , Philipp Koehn, Amittai Axelrod, Alexandra Birch Mayne, Chris Callison-Burch, Miles Osborne and David Talbot , International Workshop on Spoken Language Translation 2005, pdf . Edinburgh System Description for the 2005 NIST MT Evaluation , Philipp Koehn, Amittai Axelrod, Alexandra Birch Mayne, Chris Callison-Burch, Miles Osborne, David Talbot, and Michael White , MT Eval Workshop 2005, pdf , slides . Introduction to Statistical Machine Translation , Chris Callison-Burch and Philipp Koehn , European Summer School for Language and Logic (ESSLL) 2005, day1 , 2 , 3 , 4 , 5 . 2004 Statistical Significance Tests for Machine Translation Evaluation , Philipp Koehn , EMNLP 2004, ps , pdf . Pharaoh: a Beam Search Decoder for Phrase-Based Statistical Machine Translation Models , Philipp Koehn , AMTA 2004, pdf , ps , slides . Challenges in Statistical Machine Translation , Philipp Koehn , Talk given at PARC, Google, ISI, MITRE, BBN, Univ. of Montreal, 2004, slides . The Foundation for Statistical Machine Translation at MIT , Philipp Koehn , Talk given at DARPA/TIDES MT Evaluation Workshop, 2004, slides . What's New in Statistical Machine Translation , Kevin Knight and Philipp Koehn , Tutorial at HLT/NAACL 2004. Introduction to Statistical Machine Translation , Philipp Koehn and Kevin Knight , Tutorial at AMTA 2004. Automatic Evaluation , Philipp Koehn , Panel talk at the AMTA 2004 panel on Machine Translation Evaluation, slides . 2003 Noun Phrase Translation , Philipp Koehn , PhD thesis, University of Southern California, 2003, ps (official format, 182 pages) , ps (readable format, 118 pages) . Advances in Statistical Machine Translation: Phrases, Noun Phrases and Beyond , Philipp Koehn , Talk given at ISI, JHU, UMD, MITRE, MIT, IBM, Columbia, AT&T, 2003, slides . Feature-Rich Statistical Translation of Noun Phrases , Philipp Koehn and Kevin Knight , ACL 2003, ps , pdf , abstract . Statistical Phrase-Based Translation , Philipp Koehn, Franz Josef Och, and Daniel Marcu , HLT/NAACL 2003, ps , pdf , slides , abstract . Empirical Methods for Compound Splitting , Philipp Koehn and Kevin Knight , EACL 2003, ps , pdf , abstract . What's New in Statistical Machine Translation , Kevin Knight and Philipp Koehn , Tutorial at HLT/NAACL 2003, slides . Statistical Machine Translation , Kevin Knight and Philipp Koehn , Tutorial at MT Summit 2003. Desparately Seeking Cebuano , Douglas W. Oard, David Doermann, Bonnie Dorr, Daqing He, Philip Resnik, Amy Weinberg, William Byrne, Sanjeev Khudanpur, David Yarowsky, Anton Leuski, Philipp Koehn, and Kevin Knight , NAACL-HLT 2003. 2002 Learning a Translation Lexicon from Monolingual Corpora , Philipp Koehn and Kevin Knight , ACL 2002, Workshop on Unsupervised Lexical Acquisition, ps , pdf . Combining Multiclass Maximum Entropy Text Classifiers with Neural Network Voting , Philipp Koehn , PorTAL 2002, ps , pdf . Translation with Scarce Bilingual Resources , Yaser Al-Onaizan, Ulrich Germann, Ulf Hermjakob, Kevin Knight, Philipp Koehn, Daniel Marcu, and Kenji Yamada , Machine Translation 17: 1-17, 2002, ps , pdf . ChunkMT: Statistical Machine Translation with Richer Linguistic Knowledge , Philipp Koehn and Kevin Knight , Draft, Unpublished, ps , pdf . 2001 Knowledge Sources for Word-Level Translation Models , Philipp Koehn and Kevin Knight , EMNLP 2001, ps , pdf , abstract . 2000 Estimating Word Translation Probabilities from Unrelated Monolingual Corpora Using the EM Algorithm , Philipp Koehn and Kevin Knight , AAAI 2000, ps , pdf , abstract . Translating with Scarce Resources , Yaser Al-Onaizan, Ulrich Germann, Ulf Hermjakob, Kevin Knight, Philipp Koehn, Daniel Marcu, and Kenji Yamada , AAAI 2000, ps , pdf , abstract . Improving Intonational Phrasing with Syntactic Information , Philipp Koehn, Steven Abney, Julia Hirschberg, and Michael Collins , ICASSP 2000, ps , pdf , abstract . Earlier Statistische und modellbasierte Lernverfahren zur Erweiterung von Unifikationsgrammatiken , Philipp Koehn , 1996, Diplom thesis at the University of Erlangen-Nuremberg, Germany. ps , pdf , code , German abstract , English abstract . Genetic Encoding Strategies for Neural Networks , Philipp Koehn , IPMU 1996, ps , pdf , abstract . Combining Genetic Algorithms and Neural Networks , Philipp Koehn , 1994, Master Thesis at the University of Tennessee at Knoxville, USA. ps , pdf , code , abstract . links My first homepage L.A. Diary C64 Nostalgia Do not spell my name like this: Phillip Koehn, Philip Koehn, Phillipp Koehn, Phillip Khn, Philip Khn, Phillipp Khn, Phillip Kohn, Philip Kohn, Phillipp Kohn, Philipp Kohn. My real name is Philipp Khn, but the preferred spelling is Philipp Koehn. diff --git a/src/data/compiled_bios/5399.txt b/src/data/compiled_bios/5399.txt new file mode 100644 index 0000000000..27267fe1ad --- /dev/null +++ b/src/data/compiled_bios/5399.txt @@ -0,0 +1 @@ + Markulf Kohlweiss Associate Professor (in British, Sr. Lecturer) School of Informatics University of Edinburgh mkohlwei@inf.ed.ac.uk Informatics Forum 10 Crichton St. Edinburgh, EH8 9AB (pgp) DE91 6141 7EF4 ADC5 B937 5BE3 5A88 957C 20E4 BCCD news teaching research other I am associate professor in the Security and Privacy research group at the University of Edinburgh. I hold a PhD in cryptography from COSIC at the K.U. Leuven and previously was a researcher at Microsoft Research Cambridge in the Programming Principles and Tools group . I worked on the Identity Mixer anonymous credential system at IBM Research Zurich and I am a founding member of the miTLS project, now project Everest , a verified implementation of the TLS standard. For the latter work I am a co-recipient of received the Levchin prize for real-world cryptography. I am looking for motivated PhD students with interest in cryptography, blockchain technologies, security, and/or formal verification. If you are already a student at the University of Edinburgh drop by my office to discuss. News Ouroboros Crypsinous Ouroboros Crypsinous thei first formally analysed privacy-preserving proof-of-stake (PoS) blockchain protocol is now on ePrint . State-separating proofs Our paper State-Separating Proofs: A Reduction Methodology for Real-World Protocols (joint work with C. Brzuska, A. Delignat-Lavaud, K. Kohbrok) is available on ePrint now. One of the goals of the paper is to reduce suffering when writing and reading real-life protocol reduction proofs, to make them readable and verifiable and also shorter and more precise. To get a good idea about the potential for simplification, look at the original proof of the miTLS, TLS 1.2 handshake, ePrint . The navigation elements on this page and many layout elements are heavily inspired by and adapted from Mike Rouselek's homepage. The similarity between the definitional style of our paper and his textbook, The Joy of Cryptography , are, however, due to our independently formed believe that it is more accessible than what is "traditional" in crypto. In our paper we also make the case that this style is more composeable, scaleable, and amenable to formal verification. The updatable CRS model Our paper Updatable and Universal Common Reference Strings with Applications to zk-SNARKs (joint work with Jens Groth, Mary Maller, Sarah Meiklejohn, Ian Miers) is available on ePrint now. The goal of the paper is to replace the zcash ceremony which is bordering on the paranoid (listen to a great radiolab episode ) with publicly verifiable non-interactive CRS updates. Teaching Security news A Few Thoughts on Cryptographic Engineering by Matthew Green Schneier on Security by Bruce Schneier Mentoring Current advisees: Mary Maller (PhD, co-supervisor) Konrad Kohbrok (PhD, co-supervisor) Fatemeh Shirazi (PhD, co-supervisor) Gao Maqing (MS) Research My research lie at the intersection of formal verification , foundations of cryptography and applied cryptography , especially with regard to privacy-enhancing protocols, blockchains, and crypto currencies and the formal verification of protocol implementations . My research is supported by the IOHK and Microsoft Research. Publications More bibliographic information is also available on my Google scholar page and DBLP page. For most publications I include a link to a free version of the article; however, some papers are behind paywalls. Send me email if you would like a copy of paywalled publications. Privacy-preserving smart metering revisited Alfredo Rial, George Danezis, Markulf Kohlweiss Int. J. Inf. Sec. 17(1) article A messy state of the union: taming the composite state machines of TLS Benjamin Beurdouche, Karthikeyan Bhargavan, Antoine Delignat-Lavaud, Cedric Fournet, Markulf Kohlweiss, Alfredo Pironti, Pierre-Yves Strub, Jean Karim Zinzindohoue Commun. ACM 60(2): 99-107 (2017) article Everest: Towards a Verified, Drop-in Replacement of HTTPS Karthikeyan Bhargavan, Barry Bond, Antoine Delignat-Lavaud, Cedric Fournet, Chris Hawblitzel, Catalin Hritcu, Samin Ishtiaq, Markulf Kohlweiss, Rustan Leino, Jay R. Lorch, Kenji Maillard, Jianyang Pan, Bryan Parno, Jonathan Protzenko, Tahina Ramananandro, Ashay Rane, Aseem Rastogi, Nikhil Swamy, Laure Thompson, Peng Wang, Santiago Zanella Bguelin, Jean Karim Zinzindohoue SNAPL 2017 article Implementing and Proving the TLS 1.3 Record Layer Antoine Delignat-Lavaud, Cedric Fournet, Markulf Kohlweiss, Jonathan Protzenko, Aseem Rastogi, Nikhil Swamy, Santiago Zanella Bguelin, Karthikeyan Bhargavan, Jianyang Pan, Jean Karim Zinzindohoue IEEE Symposium on Security and Privacy 2017 article miTLS: Verifying Protocol Implementations against Real-World Attacks Karthikeyan Bhargavan, Cedric Fournet, Markulf Kohlweiss EEE Security & Privacy 14(6): 18-25 (2016) article Constant-Size Structure-Preserving Signatures: Generic Constructions and Simple Assumptions Masayuki Abe, Melissa Chase, Bernardo David, Markulf Kohlweiss, Ryo Nishimaki, Miyako Ohkubo J. Cryptology 29(4): 833-878 (2016) article Hash First, Argue Later: Adaptive Verifiable Computations on Outsourced Data Dario Fiore, Cdric Fournet, Esha Ghosh, Markulf Kohlweiss, Olga Ohrimenko, Bryan Parno ACM Conference on Computer and Communications Security 2016 article Dependent types and multi-monadic effects in F Nikhil Swamy, Catalin Hritcu, Chantal Keller, Aseem Rastogi, Antoine Delignat-Lavaud, Simon Forest, Karthikeyan Bhargavan, Cdric Fournet, Pierre-Yves Strub, Markulf Kohlweiss, Jean Karim Zinzindohoue, Santiago Zanella Bguelin POPL 2016 article Light at the middle of the tunnel: middleboxes for selective disclosure of network monitoring to distrusted parties Nik Sultana, Markulf Kohlweiss, Andrew W. Moore HotMiddlebox@SIGCOMM 2016 article Cinderella: Turning Shabby X.509 Certificates into Elegant Anonymous Credentials with the Magic of Verifiable Computation Antoine Delignat-Lavaud, Cdric Fournet, Markulf Kohlweiss, Bryan Parno IEEE Symposium on Security and Privacy 2016 article Downgrade Resilience in Key-Exchange Protocols Karthikeyan Bhargavan, Christina Brzuska, Cdric Fournet, Matthew Green, Markulf Kohlweiss, Santiago Zanella Bguelin IEEE Symposium on Security and Privacy 2016 article Accountable Metadata-Hiding Escrow: A Group Signature Case Study Markulf Kohlweiss, Ian Miers PoPETs 2015(2) article Other Things Projects Everest Project Everest aims to build and deploy a verified HTTPS stack website miTLS An implementation of the TLS protocol, written in F* website HACL* A verified library of cryptographic primitives written in F* website Professional Service I have served on the following program committees (reverse chronological): PKC 2019; EuroS&P 2019; CRYPTO 2018; PETS 2018, 2017, 2016, 2015, 2014, 2013; PKC 2018, 2017 ASIACCS 2017; FC 2016; CCS 2016; IMACC 2015; EUROCRYPT 2015; SOFSEM 2014; WPES 2013; ESORICS 2013, 2012; ARES 2013,2011; CT-RSA 2011; CMS 2011, 2010; COMPSAC 2009 diff --git a/src/data/compiled_bios/54.txt b/src/data/compiled_bios/54.txt new file mode 100644 index 0000000000..093f38b090 --- /dev/null +++ b/src/data/compiled_bios/54.txt @@ -0,0 +1 @@ + Svetlana Lazebnik Associate Professor 3308 Siebel Center for Comp Sci 201 N. Goodwin Ave. Urbana Illinois 61801 (217) 300-2422 slazebni@illinois.edu : Primary Research Area Artificial Intelligence Research Areas Artificial Intelligence . Primary Research Area Artificial Intelligence Research Areas Artificial Intelligence . . . diff --git a/src/data/compiled_bios/540.txt b/src/data/compiled_bios/540.txt new file mode 100644 index 0000000000..a15af620e3 --- /dev/null +++ b/src/data/compiled_bios/540.txt @@ -0,0 +1 @@ +Michael Maire Assistant ProfessorDepartment of Computer Science Email: mmaire@cs.uchicago.edu Office: JCL 319 Website: http://ttic.uchicago.edu/~mmaire/ diff --git a/src/data/compiled_bios/5400.txt b/src/data/compiled_bios/5400.txt new file mode 100644 index 0000000000..b8dd838392 --- /dev/null +++ b/src/data/compiled_bios/5400.txt @@ -0,0 +1 @@ + Taku Komura Reader I am a Reader (Associate Professor) at the Institute of Perception, Action and Behaviour , School of Informatics , Edinburgh University . I am also a Royal Society Industry Fellow and a visiting professor at Xian Jiaotong University. I received my B.Sc,M.Sc. and D.Sc in Information Science from the University of Tokyo . My research interests include character animation, computer graphics and interactive techniques. [ Research ] [ Teaching ] [ Publications ] [ CGVU Group ] [ Introduction Video ] **News** A postdoctoral fellow position open for a project with Oculus|Facebook! A UK/EU PhD funding open for a project with Oculus|Facebook! Mailing address: School of Informatics Edinburgh University 10 Crichton Street Edinburgh, EH8 9AB, United Kingdom Office: Room 1.23 Phone: +44-131-6513445 All rights reserved diff --git a/src/data/compiled_bios/5401.txt b/src/data/compiled_bios/5401.txt new file mode 100644 index 0000000000..f5660a710b --- /dev/null +++ b/src/data/compiled_bios/5401.txt @@ -0,0 +1 @@ + Mirella Lapata Institute for Language, Cognition and Computation School of Informatics, University of Edinburgh Home Research Papers Projects Resources Code Demos Students Home email: mlap@inf.ed.ac.uk affiliation: ILCC , School of Informatics University of Edinburgh 10 Crichton Street Edinburgh EH8 9AB phone: 44-131-650-4416 fax: 44-131-650-6626 office: IF 4.16 2018 Mirella Lapata. Powered by: LotusCMS . diff --git a/src/data/compiled_bios/5402.txt b/src/data/compiled_bios/5402.txt new file mode 100644 index 0000000000..c05af81d92 --- /dev/null +++ b/src/data/compiled_bios/5402.txt @@ -0,0 +1 @@ + Homepage Research Publications People Teaching Administration Contact Alex Lascarides Chair in Semantics, School of Informatics , University of Edinburgh . I am a professor in the School of Informatics , University of Edinburgh . I am affiliated with the Institute for Language, Cognition and Computation . I also supervise students in the EPSRC Data Science Centre for Doctoral Training . Apply here . My research aims to model the semantics and pragmatics of communicative actions in conversation, mainly focussing on text and speech but also analysing non-verbal actions such as hand gestures. I have studied how humans communicate with each other, with software agents and with robots, and I have studied conversations where the participants' goals diverge (e.g., courtroom cross examination, negotiations over restricted resources and political debate), as well as cases where they align (e.g., tourist information, scheduling). My main focus in all this work is to use models of discourse coherence to constrain the inferential processes that underly generating and interpreting language and gesture. Alex Lascarides, University of Edinburgh Design by TEMPLATED . diff --git a/src/data/compiled_bios/5403.txt b/src/data/compiled_bios/5403.txt new file mode 100644 index 0000000000..9e44500640 --- /dev/null +++ b/src/data/compiled_bios/5403.txt @@ -0,0 +1 @@ +News Intro Prospective Students Team Research CompuCast Teaching Publications Contact HUGH LEATHER News 1 (22nd Nov 2018) I have been interviewed by the IoT Podcast. Listen here . (12th Jul 2018) DISTINGUISHED PAPER AWARD at ISSTA 2018 For paper "Compiler Fuzzing through Deep Learning". (24th Sep 2017) BEST PAPER AWARD at PACT 2017 For paper "Synthesizing Benchmarks for Predictive Modeling". (8th Feb 2017) BEST PAPER AWARD at CGO 2017 For paper "End-to-end Deep Learning of Optimization Heuristics". (20th Jan 2017) PhD Studentships available I have one fully funded PhD position for either overseas or EU/UK. There is more info here . Intro 10 I am a reader (associate professor) in the School of Informatics at the University of Edinburgh. I am a member of the CARD group and of the Edinburgh ARM Center of Excellence . I am a Royal Academy of Engineering / EPSRC Research Fellow. I am a Chancellor's Fellow of the University of Edinburgh. Previously, I worked for a while in industry, for Microsoft in Seattle and Trilogy in Austin. Prospective Students 11 Do you want to do a PhD? Being an advisor to students is by far the best part of my job, I love it. Have a look at my research areas below. If any of those grab you, then shoot me an email. It is nearly always possible to find money for good students. Make sure you have a look at the advice below. NEWS: I have one fully funded PhD position for either overseas or EU/UK. Tips on applying and having a successful PhD A PhD is a long degree, probably it will be 4 years of your life. And, different from your first, taught degree, it is extremely specialised on one or two areas. That is a long time to spend on something if it does not excite you. So, the first thing is to ask yourself why you want a PhD. There are lots of reasons people have, but the best reason, in my opinion, is that you really, really want to explore some area or question in computer science. Are you fascinated by some problem and just wish someone would give you the time to try out all your ideas on it? That's an excellent way to begin! Let me tell you what I see my role as. I see myself as your advisor, not your supervisor. By that I mean that I am not your boss. You will make your own decisions and are quite at liberty not to take my advice. In fact, I expect you to argue with me - if you haven't told me I'm wrong about at least one thing by the end you can't have become the expert that a PhD is supposed to qualify you to be. I think it is important that students get that freedom (I could not have stomached my PhD if my advisor had been the supervisor type). But, I am aware that some people prefer to be told what to do step by step and treat a PhD more like a job or a taught degree than the creative self driven experience I want for you. That's okay, we can do that too, but if you know this ahead of time, consider a different academic - there are lots who do the boss thing. If you do want to do a PhD with me, here's how it will go: After you first contact me, I'll give you a short 'do at home' programming test. This serves two purposes for me. The first is that it quickly filters out the time wasters. "You're joking!" I hear you cry? No really, there are lots of people who send out form letters to hundreds of academics. Often, they have copied and pasted my research interests into their letter, and probably not even bothered to make the fonts consistent with the rest of their letter. These people tend not to reply to a programming test. The second thing is that it gives me a quick idea of your programming ability. I assume that you already know how to program, and unless you are amazing in some other ways, I would probably recommend you not do a PhD with me if you can't program. This test doesn't have a deadline, but how long you take to complete it will be taken into account. We have a phone/Skype/Hangout/etc interview. For me, I want to hear about why you want to do a PhD, what your ideas are, and find out if you're someone I could work with. I'll also give you a short 'live' programming test. "Another one, really?" Yes, some people have actually cheated on the at home test before! Often I invite another academic to the call to get a second opinion. You should use this call to find out at least how a PhD would work with me and whether you think you could work with me. You should probably talk to some of my students (or the students of any academic you intend to study with). Send them an email and maybe arrange a chat. Do they like working with me? What are my worst faults? Would they rather they had done a PhD with someone else? And on and on. You never know what things they might tell you and they could save you from making a horrible mistake! Now, you apply with all the forms here . One important part here is that you write a research proposal. This is just a few sides of A4, structured a bit like a research paper (abstract, background, related work, etc). Even if I think you are great and want to accept you, students have to make it through selection panels where things like your CV and research proposal will be discussed and must be approved by several academics. While we wait for that, we (well probably I) find you funding. You might need to fill out more forms to apply for various scholarships. Normally the funding pays your fees and gives you a living allowance. Sometimes it might also include travel money and a small equipment budget. The fees for overseas students are about twice that of EU/UK students (although Brexit might soon mean that will include EU students, too!). There are also fewer pots of money that can be used for overseas students. These things mean overseas students are harder to fund and typically have to be that much better to make it worthwhile. Please don't let that discourage you, funding is often found for great students! Assuming we're all good up to this point you should get an acceptance letter from the University. It could still be several months before your start date. You have to work out your travel and accommodation (sorry the University doesn't give much help and gives no financial help beyond your stipend). Probably during this time, if you are up for it, we will meet online occasionally (say once a month) to discuss papers and ideas, etc. But, if you are busy working or doing whatever, don't feel you have to have these meetings. Great! Hopefully you are now in Edinburgh starting your PhD! This should be fantastic! I can't wait to meet you in person! Team 100 Rodrigo Caetano Rocha PhD Student Auto paralellisation Chris Cummins PhD Student Deep Learning Over Programs Ouz Ergin Post Doc - Finished 2016 Vertical Data Centre Integration Associate Professor Stephen Kyle PhD - Graduated 2015 Virtual Machines Researcher at ARM Ltd. Paschalis Mpeis PhD Student Interactive Iterative Compilation William Ogilvie PhD Student Active Learning for Compilers Pavlos Petoumenos Post Doc Energy Accounting Volker Seeker PhD Student Low Energy Mobile Systems Chad Verbowski PhD Student Self Optimising Data Centres Research 101 My research is about improving the energy consumption and performance of computers, ranging from mobile systems to data centres. The energy used by the World's computers is staggering and growing exponentially. If we don't do something to fix it we are going to need a nuclear power station on every street corner just so we can all stalk each other on Facebook. My work often uses machine learning and deep learning to discover new ways to optimise programs and systems. Mobile Systems Compiler Optimisation Power and Energy Optimisation Runtime Adaptation and Dynamic Runtime Optimisation Heterogeneous Parallelism Optimisation GPGPU Optimisation Auto-tuning and Machine Learning Techniques A list of some ongoing projects is below. ALEA - Abstraction-Level Energy Accounting for Many-core Programming Languages Project supported by: Pavlos Petoumenos Performance profiling has been around for a long time, but there is nothing similar for energy. This project builds mechanisms to determine how much energy each line of a program's source code consumes. And, it determines how data structures contribute to energy consumption. Energy consumption will be matched against programming language abstractions, from basic-blocks to functions, loops, and parallel constructs, and from variables to data structures, providing developers with the information that they need. Without tools like this, developers cannot optimise their programs for energy. Built on top of this, we apply machine learning techniques to automatically optimise programs for energy consumption. Website DIVIDEND - Distributed Heterogeneous Vertically IntegrateD ENergy Efficient Data Centres Project supported by: Ouz Ergin Volker Seeker Our world is in the midst of a big data revolution, driven by the ubiquitous ability to gather, analyse, and query datasets of unprecedented variety and size. The sheer storage volume and processing capacity required to manage these datasets has resulted in a transition away from desktop processing and toward warehouse-scale computing inside data centres. State-of-the-art data centres, employed by the likes of Google and Facebook, draw 20-30 MW of power, equivalent to 20,000 homes, with these companies needing many data centres each. The global data centre energy footprint is estimated at around 2% of the worlds energy consumption and doubles every five years. Contemporary data centres have an average overhead of 90%, meaning that they consume up to 1.9 MW to deliver 1 MW of IT support; this is not cost-effective or environmentally sound. If the exponential data growth and processing capacity are to scale in the way that both the public and industry have come to rely upon, we must tackle the data centre energy crisis or face the reality of stagnated progress. With the semiconductor industrys inability to further lower operating voltages in processor and memory chips, the challenge is in developing technologies for large-scale data-centric computation with energy as a first-order design constraint. The DIVIDEND project attacks the data centre energy efficiency bottleneck through vertical integration, specialisation, and cross-layer optimisation. Our vision is to present heterogeneous data centres, combining CPUs, GPUs, and task-specific accelerators, as a unified entity to the application developer and let the runtime optimise the utilisation of the system resources during task execution. DIVIDEND embraces heterogeneity to dramatically lower the energy per task through extensive hardware specialisation while maintaining the ease of programmability of a homogeneous architecture. To lower communication latency and energy, DIVIDEND leverages SoC integration and prefers a lean point-to-point messaging fabric over complex connection-oriented network protocols. DIVIDEND addresses the programmability challenge by adapting and extending the industry-led heterogeneous systems architecture programming language and runtime initiative to account for energy awareness and data movement. DIVIDEND provides for a cross-layer energy optimisation framework via a set of APIs for energy accounting and feedback between hardware, compilation, runtime, and application layers. The DIVIDEND project will usher in a new class of vertically integrated data centres and will take a first stab at resolving the energy crisis by improving the power usage effectiveness of data centres by at least 50%. Website SUMMER - SchedUling on heterogeneous Mobile Multicores based on quality of ExpeRience Project supported by: Pavlos Petoumenos Volker Seeker Users want mobile devices that appear fast and responsive, but at the same time have long lasting batteries and do not overheat. Achieving both of these at once is difficult. The workloads employed to evaluate mobile optimisations are rarely representative of real mobile applications and are oblivious to user perception, focussing only on performance. As a result hardware and software designers' decisions do not respect the user's Quality of Experience (QoE). The device either runs faster than necessary for optimal QoE, wasting energy, or the device runs too slowly, spoiling QoE. SUMMER will develop the first framework to record, replay, and analyse mobile workloads that represent and measure real user experience. Our work will expose for the first time the real Pareto trade-off between the user's QoE and energy consumption. The results of this project will permit others, from computer architects up to library developers, to make their design decisions with QoE as their optimisation target. To show the power of this new approach, we will design the first energy efficient operating system scheduler for heterogeneous mobile processors which takes QoE into account. With heterogeneous mobile processors just now entering the market, a scheduler able to use them optimally is urgently needed. We expect our scheduler to be at least 50% more energy efficient on average than the standard Linux scheduler on an ARM BIG.LITTLE system. SelfOptimisation of Internet Services Project supported by: Chad Verbowski Modern Internet services such as search, social networking, online shopping, media services, gaming, and email can span as many as 1,000,000 servers, requiring multiple geographically distributed instances to serve customers around the world. The financial cost of building and operating each of these various services can be more than US$1 billion annually. In addition, it is critical that the performance of these services are highly optimised across all servers and datacenter locations. Experiments slowing user responses by as little as 100ms have caused a measurable decrease in user engagement. Given the large scale and impact of these systems, optimising them presents a significant resource saving opportunity and a chance to improve overall service quality. This project presents a novel idea for making significant improvements to the capacity utilisation of these servers thus potentially saving many millions of dollars annually, and in addition will improve the end-user perceived availability of these services and reduce the latency they experience when using them. User Experience Driven CPU Frequency Scaling On Mobile Devices Towards Better Energy Efficiency Project supported by: Pavlos Petoumenos Volker Seeker Mobile computing devices such as smartphones and tablets have become tightly integrated with many peoples life, both at work and at home. Users spend large amounts of time interacting with their mobile device and demand an excellent user experience in terms of responsiveness, whilst simultaneously expecting a long battery life between charging cycles. Frequency governors, responsible for increasing or decreasing the CPU clock frequency depending on the current workload and external events, try to balance the two contrasting goals of high performance and low energy consumption. However, despite their critical role in providing energy efficiency it is difficult to measure the effectiveness of frequency governors in an interactive environment. In this paper we develop a novel methodology for creating repeatable, fully automated, realistic, workloads that can accurately measure time lag in interactive applications resulting from non-optimally selected operating frequencies. We also introduce a new metric capturing the user experience for different ANDROID frequency governors. We evaluate interactive workloads to demonstrate how our approach enables us to automatically record and replay sequences of user interactions for different system configurations. We demonstrate that none of the available ANDROID frequency governors performs particularly well, but leave substantial room for improvement. We show that energy savings of up to 27% are possible, whilst delivering a user experience that is better than that provided by the standard ANDROID frequency governor. We also show that it is possible to save 47% energy with performance that is indistinguishable from permanently running the CPU at the highest frequency. Applications of Information Sharing for Code Generation in Process Virtual Machines Project supported by: Stephen Kyle This project looks at improving VM performance. It considers aspects of parallelisation, program fuzzing, and crowd sourced optimisation. CompuCast 110 Compucast CompuCast is a podcast for computer scientists and anyone with a taste for delving deeper into understanding computers and their related technologies. Podcasts RSS A few years ago I couldn't find any podcasts for computer scientists. There were lots for the other sciences and a few for engineers, but none for us. Honestly it was getting to the stage that if I had to listen to another story about global warming I think I was going to set fire to a polar bear! So, myself and a few friends decided to do something about it - Compucast was born! We set out to produce an interesting and varied show aimed specifically at those with a reasonable level of understanding of computer science: we don't want to dance around the detail, we want to embrace it and really learn something. In each show correspondents with some expertise in the field will present several recently published and thoroughly researched computer-science related features. The idea is then to intertwine the nitty gritty detail of these with some more light-hearted topics (jokes and a quiz) so that we don't lose anyone as the show progresses. We will also present a news section that will guide you through the innovative, the surreal and the absurd of the previous few months. If this sounds like something you can be entertained by, then listen to our latest podcast, at compucast.io . By the way, that is the new swanky website made by Zheng Wang. The old, ugly one, made by me is still around at compucast.inf.ed.ac.uk . Compucast has changed a bit over the years. For a couple of years after my daughter was born I didn't have time for it, so it languished for a bit. Now we're back with a new, enthusiastic team. The show is also now a joint collaboration between three universities, the University of Edinburgh , the University of Lancaster , and the University of St Andrews . Teaching 111 UG4 and MSc - Compiler Optimisation - 2019 Course page This course introduces students to modern techniques in efficient implementation of programming languages. Modern processors and systems are designed based on the assumption that a compiler will be able to effectively exploit architectural resources. This course will examine in detail techniques to exploit instruction level parallelism, memory hierarchy and higher level parallelism. It will examine classic static analysis approaches to these problems and introduce newer feedback directed and dynamic approaches to optimisation. The course work will require students to implement selected optimisations in a research compiler. Timetable Semester 2 Day Start Finish Building Room Monday 10:00 10:50 Appleton Tower AT2.11 Thursday 10:00 10:50 Appleton Tower AT2.11 Coursework Deadline Thursday 4pm Feb 21st 2019 Feedback Thursday 4pm Mar 7th 2019 Lecture Notes 1 2 3 4 4-from-ssa 5 6 7 8 9 10 11 12 13 14 Video lectures on YouTube Tools and Resources Ayrton Massey's Data-Flow Tutor . Ayrton was a student of mine who built this rather excellent teaching tool for you. BTW, you can fork his project for this on GitHub . Engineering A Compiler (pdf) . This is the pdf of the first text book. I assume this is legit, but haven't checked, or downloaded it myself. Download at your own risk! Programming Club It is quite possible to finish an undergraduate CS degree at Edinburgh without having done a huge amount of programming. The purpose of the of the course is not to turn students into programmers, but rather to give them the very important theoretical skills that make decent programmers into extraordinary programmers. We leave learning to be an expert in at least one programming language to the students to do in their own time. After all, if we were determined to teach that to students, there wouldn't be any time left over for the theoretical things. Unfortunately, this can lead to a rather rude awakening for students who haven't learned programming on their own time when they go out to try and get a job. So, I run a completely voluntary, no credits course/club for students to get more practice. Once a week during term time we have a couple of hours in an informal, relaxed lab where we offer different challenges for students to attack. We have programming competitions, short projects, talks, and guest speakers. There should be something for everyone at whatever stage they are at. The hope is that students will find something in the class to inspire them and then take it further during their free time. So far, feedback has been that students find the course fun, interesting, and useful - phew! GitHub Repository Mailing List Publications 1000 Full BibTex Papers 1 Compiler Fuzzing through Deep Learning Distinguished Paper Award Chris Cummins, Pavlos Petoumenos, Hugh Leather, Alastair Murray Proceedings of the ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA 2018) July 2018 Amsterdam, Netherlands bibtex | abstract | paper(pdf) Random program generation fuzzing is an effective technique for discovering bugs in compilers but successful fuzzers require extensive development effort for every language supported by the compiler, and often leave parts of the language space untested. We introduce DeepSmith, a novel machine learning approach to accelerating compiler validation through the inference of generative models for compiler inputs. Our approach infers a learned model of the structure of real world code based on a large corpus of open source code. Then, it uses the model to automatically generate tens of thousands of realistic programs. Finally, we apply established differential testing methodologies on them to expose bugs in compilers. We apply our approach to the OpenCL programming language, automatically exposing bugs with little effort on our side. In 1,000 hours of automated testing of commercial and open source compilers, we discover bugs in all of them, submitting 67 bug reports. Our test cases are on average two orders of magnitude smaller than the state-of-the-art, require 3.03 less time to generate and evaluate, and expose bugs which the state-of-the-art cannot. Our random program generator, comprising only 500 lines of code, took 12 hours to train for OpenCL versus the state-of-the-art taking 9 man months to port from a generator for C and 50,000 lines of code. With 18 lines of code we extended our program generator to a second language, uncovering crashes in Solidity compilers in 12 hours of automated testing. @inproceedings{ leather_compilerfuzzingdeeplearning_issta2018, author = {Chris Cummins and Pavlos Petoumenos and Hugh Leather and Alastair Murray}, location = {Amsterdam, Netherlands}, booktitle = {Proceedings of the ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA 2018)}, month = {July}, year = {2018}, title = {Compiler Fuzzing through Deep Learning} } 2 Right-sizing Server Capacity Headroom for Global Online Services Chad Verbowski, Ed Thayer, Paolo Costa, Hugh Leather, Bjoern Franke Proceedings of the 38th IEEE International Conference on Distributed Computing Systems (ICDCS 2018) July 2018 Vienna, Austria bibtex | abstract | paper(pdf) We present a capacity planning case study showing a significant opportunity for improving the utilization of a large, low-latency, highly available online service containing 100K+ servers spanning 9 geographic regions. Analyzing 30 PB of traces over 90 days we devised a new iterative black-box capacity planning model using the discovered relationships between workload, utilization, and quality. We verified the model on 1,000s of servers showing capacity reductions between 20% and 40% with effectively no impact on workload latency, availability, or the capacity required for disaster recovery. These results are confirmed experimentally by shrinking production server pools to cause the remaining servers to run at higher utilization, and using data from real-world large scale unplanned failures. Finally, we show examples of using our model for offline regression analysis to detect critical issues before their deployment. @inproceedings{ leather_rightsizingservercapacity_icdcs2018, author = {Chad Verbowski and Ed Thayer and Paolo Costa and Hugh Leather and Bjoern Franke}, location = {Vienna, Austria}, booktitle = {Proceedings of the 38th IEEE International Conference on Distributed Computing Systems (ICDCS 2018)}, month = {July}, year = {2018}, title = {Right-sizing Server Capacity Headroom for Global Online Services} } 3 End-to-end Deep Learning of Optimization Heuristics Best Paper Award Christopher Cummins, Pavlos Petoumenos, Zheng Wang, Hugh Leather Proceedings of the International Conference on Parallel Architectures and Compilation Techniques (PACT 2017) September 2017 Portland, Oregon, US bibtex | abstract | paper(pdf) Accurate automatic optimization heuristics are necessary for dealing with the complexity and diversity of modern hardware and software. Machine learning is a proven technique for learning such heuristics, but its success is bound by the quality of the features used. These features must be hand crafted by developers through a combination of expert domain knowledge and trial and error. This makes the quality of the final model directly dependent on the skill and available time of the system architect. Our work introduces a better way for building heuristics. We develop a deep neural network that learns heuristics over raw code, entirely without using code features. The neural network simultaneously constructs appropriate representations of the code and learns how best to optimize, removing the need for manual feature creation. Further, we show that our neural nets can transfer learning from one optimization problem to another, improving the accuracy of new models, without the help of human experts. We compare the effectiveness of our automatically generated heuristics against ones with features hand-picked by experts. We examine two challenging tasks: predicting optimal mapping for heterogeneous parallelism and GPU thread coarsening factors. In 89% of the cases, the quality of our fully automatic heuristics matches or surpasses that of state-of-the-art predictive models using hand-crafted features, providing on average 14% and 12% more performance with no human effort expended on designing features. @inproceedings{ leather_deeplearning_pact2017, author = {Christopher Cummins and Pavlos Petoumenos and Zheng Wang and Hugh Leather}, location = {Portland, Oregon, US}, booktitle = {Proceedings of the International Conference on Parallel Architectures and Compilation Techniques (PACT 2017)}, month = {September}, year = {2017}, title = {End-to-end Deep Learning of Optimization Heuristics} } 4 Synthesizing Benchmarks for Predictive Modeling Best Paper Award Chris Cummins, Pavlos Petoumenos, Zheng Wang, Hugh Leather Proceedings of the International Symposium on Code Generation and Optimization (CGO'17) 4 February 2017 Austin, Texas USA bibtex | abstract | paper(pdf) Predictive modeling using machine learning is an effective method for building compiler heuristics, but there is a short- age of benchmarks. Typical machine learning experiments outside of the compilation field train over thousands or mil- lions of examples. In machine learning for compilers, how- ever, there are typically only a few dozen common bench- marks available. This limits the quality of learned models, as they have very sparse training data for what are often high-dimensional feature spaces. What is needed is a way to generate an unbounded number of training programs that finely cover the feature space. At the same time the generated programs must be similar to the types of programs that human developers actually write, otherwise the learning will target the wrong parts of the feature space. We mine open source repositories for program fragments and apply deep learning techniques to automatically con- struct models for how humans write programs. We sample these models to generate an unbounded number of runnable training programs. The quality of the programs is such that even human developers struggle to distinguish our generated programs from hand-written code. We use our generator for OpenCL programs, CLgen, to automatically synthesize thousands of programs and show that learning over these improves the performance of a state of the art predictive model by 1.27. In addition, the fine covering of the feature space automatically exposes weaknesses in the feature design which are invisible with the sparse training examples from existing benchmark suites. Correcting these weaknesses further increases performance by 4.30. @inproceedings{ leather_dnnprogramgen_cgo17, author = {Chris Cummins and Pavlos Petoumenos and Zheng Wang and Hugh Leather}, day = {4}, location = {Austin, Texas USA}, month = {February}, year = {2017}, booktitle = {Proceedings of the International Symposium on Code Generation and Optimization (CGO'17)}, title = {Synthesizing Benchmarks for Predictive Modeling} } 5 Minimizing the cost of iterative compilation with active learning William Ogilvie, Pavlos Petoumenos, Zheng Wang, Hugh Leather Proceedings of the International Symposium on Code Generation and Optimization (CGO'17) 4 February 2017 Austin, Texas USA bibtex | abstract | paper(pdf) Since performance is not portable between platforms, engineers must fine-tune heuristics for each processor in turn. This is such a laborious task that high-profile compilers, supporting many architectures, cannot keep up with hardware innovation and are actually out-of-date. Iterative compilation driven by machine learning has been shown to be efficient at generating portable optimization models automatically. However, good quality models require costly, repetitive, and extensive training which greatly hinders the wide adoption of this powerful technique. In this work, we show that much of this cost is spent collecting training data, runtime measurements for different optimization decisions, which contribute little to the fi- nal heuristic. Current implementations evaluate randomly chosen, often redundant, training examples a pre-configured, almost always excessive, number of times a large source of wasted effort. Our approach optimizes not only the selection of training examples but also the number of samples per example, independently. To evaluate, we construct 11 high-quality models which use a combination of optimization settings to predict the runtime of benchmarks from the SPAPT suite. Our novel, broadly applicable, methodology is able to reduce the training overhead by up to 26x compared to an approach with a fixed number of sample runs, transforming what is potentially months of work into days. @inproceedings{ leather_minimiseitercomp_cgo17, author = {William Ogilvie and Pavlos Petoumenos and Zheng Wang and Hugh Leather}, day = {4}, location = {Austin, Texas USA}, month = {February}, year = {2017}, booktitle = {Proceedings of the International Symposium on Code Generation and Optimization (CGO'17)}, title = {Minimizing the cost of iterative compilation with active learning} } 6 ALEA: A Fine-grained Energy Profiling Tool Lev Mukhanov, Pavlos Petoumenos, Zheng Wang, Nikos Parasyris, Dimitrios Nikolopoulos, Bronis de Supinski, Hugh Leather Journal of ACM Transactions on Architecture and Code Optimization (TACO) bibtex @article{ leather_alea_taco17, author = {Lev Mukhanov and Pavlos Petoumenos and Zheng Wang and Nikos Parasyris and Dimitrios Nikolopoulos and Bronis de Supinski and Hugh Leather}, booktitle = {Journal of ACM Transactions on Architecture and Code Optimization (TACO)}, title = {ALEA: A Fine-grained Energy Profiling Tool} } 7 Predicting and Optimizing Image Compression Alexander Murashko, Hugh Leather, John Thomson Proceedings of the 24th ACM International Conference on Multimedia MM '16 15 October 2016 Amsterdam, The Netherlands bibtex | abstract | paper(pdf) Image compression is a core task for mobile devices, social media and cloud storage backend services. Key evaluation criteria for compression are: the quality of the output, the compression ratio achieved and the computational time (and energy) expended. Predicting the effectiveness of standard compressors like libjpeg and WebP on a novel image is challenging, and often leads to non-optimal compression. This paper presents a machine learning-based technique to accurately model the outcome of image compression for arbitrary new images in terms of quality and compression ratio, without requiring significant additional computational time and energy. Using this model, we can actively adapt the aggressiveness of compression on a per image basis to accurately fit user requirements, leading to a more optimal compression. @inproceedings{ leather_imagecompression_mm16, author = {Alexander Murashko and Hugh Leather and John Thomson}, publisher = {ACM}, month = {October}, year = {2016}, address = {New York, NY, USA}, location = {Amsterdam, The Netherlands}, day = {15}, series = {MM '16}, booktitle = {Proceedings of the 24th ACM International Conference on Multimedia}, title = {Predicting and Optimizing Image Compression} } 8 Parallel Computing: Accelerating Computational Science and Engineering (CSE) Hugh Leather, Mark Sawyer, Mark Parsons, Gerhard Joubert, Frans Peters Advances in Parallel Computing 25 April 2014 bibtex @proceedings{ leather_parco2016, editor = {Hugh Leather and Mark Sawyer and Mark Parsons and Gerhard Joubert and Frans Peters}, publisher = {IOS Press}, year = {2014}, volume = {25}, series = {Advances in Parallel Computing}, title = {Parallel Computing: Accelerating Computational Science and Engineering (CSE)}, month = {April} } 9 The Lambda Calculus: Practice and Principle Hugh Leather, Janne Irgens A List of Successes That Can Change the World: Essays Dedicated to Philip Wadler on the Occasion of His 60th Birthday 201--206 25 March 2016 bibtex | abstract | paper(pdf) The Lambda Calculus has perplexed students of computer science for millennia, rendering many incapable of understanding even the most basic precepts of functional programming. This paper gently introduces the core concepts to the lay reader, assuming only a minimum of background knowledge in category theory, quantum chromodynamics, and paleomagnetism. In addition, this paper goes on to its main results, showing how the Lambda Calculus can be used to easily prove the termination of Leibniz Hailstone numbers for all n > 0, to show that matrix multiplication is possible in linear time, and to guarantee Scottish independence. @inbook{ leather_lambdacalulus_wf16, author = {Hugh Leather and Janne Irgens}, url = {http://dx.doi.org/10.1007/978-3-319-30936-1_11}, month = {March}, editor = {Lindley, Sam and McBride, Conor and Trinder, Phil and Sannella, Don}, address = {Cham}, doi = {10.1007/978-3-319-30936-1_11}, publisher = {Springer International Publishing}, title = {The Lambda Calculus: Practice and Principle }, isbn = {978-3-319-30936-1}, pages = {201--206}, year = {2016}, day = {25}, booktitle = {A List of Successes That Can Change the World: Essays Dedicated to Philip Wadler on the Occasion of His 60th Birthday} } 10 Towards Collaborative Performance Tuning of Algorithmic Skeletons Christopher Cummins, Pavlos Petoumenos, Michel Stewer, Hugh Leather Proceedings of the International Workshop on High-Level Programming for Heterogeneous and Hierarchical Parallel Systems (HLPGPU 2016) January 2016 Prague, Czech Republic bibtex | abstract | paper(pdf) The physical limitations of microprocessor design have forced the industry towards increasingly heterogeneous designs to extract performance. This trend has not been matched with adequate software tools, leading to a growing disparity between the availability of parallelism and the ability for application developers to exploit it. Algorithmic skeletons simplify parallel programming by providing high-level, reusable patterns of computation. Achieving performant skeleton implementations is a difficult task; skeleton authors must attempt to anticipate and tune for a wide range of architectures and use cases. This results in implementations that target the general case and cannot provide the performance advantages that are gained from tuning low level optimization parameters. Autotuning combined with machine learning offers promising performance benefits in these situations, but the high cost of training and lack of available tools limits the practicality of autotuning for real world programming. We believe that performing autotuning at the level of the skeleton library can overcome these issues. In this work, we present OmniTune an extensible and distributed framework for dynamic autotuning of optimization parameters at runtime. OmniTune uses a client-server model with a flexible API to support machine learning enabled autotuning. Training data is shared across a network of cooperating systems, using a collective approach to performance tuning. We demonstrate the practicality of OmniTune in a case study using the algorithmic skeleton library SkelCL. By automatically tuning the workgroup size of OpenCL Stencil skeleton kernels, we show that that static tuning across a range of GPUs and programs can achieve only 26% of the optimal performance, while OmniTune achieves 92% of this maximum, equating to an average 5.65 speedup. OmniTune achieves this without introducing a significant runtime overhead, and enables portable, cross-device and cross-program tuning. @inproceedings{ leather_collaborativetuningskeletons_adapt2016, author = {Christopher Cummins and Pavlos Petoumenos and Michel Stewer and Hugh Leather}, title = {Towards Collaborative Performance Tuning of Algorithmic Skeletons}, location = {Prague, Czech Republic}, booktitle = {Proceedings of the International Workshop on High-Level Programming for Heterogeneous and Hierarchical Parallel Systems (HLPGPU 2016)}, month = {January}, year = {2016} } 11 Iterative Compilation on Mobile Devices Paschalis Mpeis, Pavlos Petoumenos, Hugh Leather Proceedings of the 6th International Workshop on Adaptive Self-tuning Computing Systems (ADAPT 2016) January 2016 Prague, Czech Republic bibtex | abstract | paper(pdf) The abundance of poorly optimized mobile applications coupled with their increasing centrality in our digital lives make a framework for mobile app optimization an imperative. While tuning strategies for desktop and server applications have a long history, it is difficult to adapt them for use on mobile devices. Reference inputs which trigger behavior similar to a mobile applications typical are hard to construct. For many classes of applications the very concept of typical behavior is nonexistent, each user interacting with the application in very different ways. In contexts like this, optimization strategies need to evaluate their effectiveness against real user input, but doing so online runs the risk of user dissatisfaction when suboptimal optimizations are evaluated. In this paper we present an iterative compiler which employs a novel capture and replay technique in order to collect real user test cases and use it later to evaluate different transformations offline. The proposed mechanism identifies and stores only the set of memory pages needed to replay the most heavily used functions of the application. At idle and charging periods, this minimal state is combined with different binaries of the application, each one build with different optimizations enabled. Replaying the targeted functions allows us to evaluate the effectiveness of each set of optimizations for the actual way the user interacts with the application. For the BEEBS benchmark suite, our approach was able to improve performance of hot functions by up to 57%, while keeping the slowdown experienced by the user on average at 0.8%. By focusing only on heavily used functions, we are able to conserve storage space by between two and three orders of magnitude compared to typical capture and replay implementations. @inproceedings{ leather_iterativecompilationmobile_adapt2016, author = {Paschalis Mpeis and Pavlos Petoumenos and Hugh Leather}, title = {Iterative Compilation on Mobile Devices}, location = {Prague, Czech Republic}, booktitle = {Proceedings of the 6th International Workshop on Adaptive Self-tuning Computing Systems (ADAPT 2016)}, month = {January}, year = {2016} } 12 Autotuning OpenCL Workgroup Size for Stencil Patterns Christopher Cummins, Pavlos Petoumenos, Michel Stewer, Hugh Leather Proceedings of the 6th International Workshop on Adaptive Self-tuning Computing Systems (ADAPT 2016) January 2016 Prague, Czech Republic bibtex | abstract | paper(pdf) Selecting an appropriate workgroup size is critical for the performance of OpenCL kernels, and requires knowledge of the underlying hardware, the data being operated on, and the implementation of the kernel. This makes portable performance of OpenCL programs a challenging goal, since simple heuristics and statically chosen values fail to exploit the available performance. To address this, we propose the use of machine learning enabled autotuning to automatically predict workgroup sizes for stencil patterns on CPUs and multi-GPUs. We present three methodologies for predicting workgroup sizes. The first, using classifiers to select the optimal workgroup size. The second and third proposed methodologies employ the novel use of regressors for performing classification by predicting the runtime of kernels and the relative performance of different workgroup sizes, respectively. We evaluate the effectiveness of each technique in an empirical study of 429 combinations of architecture, kernel, and dataset, comparing an average of 629 different workgroup sizes for each. We find that autotuning provides a median 3.79 speedup over the best possible fixed workgroup size, achieving 94% of the maximum performance. @inproceedings{ leather_autotuneopenclstencil_adapt2016, author = {Christopher Cummins and Pavlos Petoumenos and Michel Stewer and Hugh Leather}, title = {Autotuning OpenCL Workgroup Size for Stencil Patterns}, location = {Prague, Czech Republic}, booktitle = {Proceedings of the 6th International Workshop on Adaptive Self-tuning Computing Systems (ADAPT 2016)}, month = {January}, year = {2016} } 13 On the Inference of User Paths from Anonymized Mobility Data Galini Tsoukaneri, George Theodorakopoulos, Hugh Leather, Mahesh K. Marina Proceedings of the 1st IEEE European Symposium on Security and Privacy (EuroS&P 2016) March 2016 Saarbrcken, Germany bibtex | abstract | paper(pdf) Using the plethora of apps on smartphones and tablets entails giving them access to different types of privacy sensitive information, including the devices location. This can potentially compromise user privacy when app providers share user data with third parties (e.g., advertisers) for monetization purposes. In this paper, we focus on the interface for data sharing between app providers and third parties, and devise an attack that can break the strongest form of the commonly used anonymization method for protecting the privacy of users. More specifically, we develop a mechanism called Comber that given completely anonymized mobility data (without any pseudonyms) as input is able to identify different users and their respective paths in the data. Comber exploits the observation that the distribution of speeds is typically similar among different users and incorporates a generic, empirically derived histogram of user speeds to identify the users and disentangle their paths. Comber also benefits from two optimizations that allow it to reduce the path inference time for large datasets. We use two real datasets with mobile user location traces (Mobile Data Challenge and GeoLife) for evaluating the effectiveness of Comber and show that it can infer paths with greater than 90% accuracy with both these datasets. @inproceedings{ leather_deanonymise_eurosp2016, author = {Galini Tsoukaneri and George Theodorakopoulos and Hugh Leather and Mahesh K. Marina}, title = {On the Inference of User Paths from Anonymized Mobility Data}, location = {Saarbrcken, Germany}, booktitle = {Proceedings of the 1st IEEE European Symposium on Security and Privacy (EuroS&P 2016)}, month = {March}, year = {2016} } 14 Power Capping: What Works, What Does Not Pavlos Petoumenos, Lev Mukhanov, Zheng Wang, Hugh Leather, Dimitrios Nikolopoulos Proceedings of the 21st IEEE International Conference on Parallel and Distributed Systems (ICPADS), 2015 December 2015 Melbourne, Australia bibtex | abstract | paper(pdf) Peak power consumption is the first order design constraint of data centers. Though peak power consumption is rarely, if ever, observed, the entire data center facility must prepare for it, leading to inefficient usage of its resources. The most prominent way for addressing this issue is to limit the power consumption of the data center IT facility far below its theoretical peak value. Many approaches have been proposed to achieve that, based on the same small set of enforcement mechanisms, but there has been no corresponding work on systematically examining the advantages and disadvantages of each such mechanism. In the absence of such a study, it is unclear what is the optimal mechanism for a given computing environment, which can lead to unnecessarily poor performance if an inappropriate scheme is used. This paper fills this gap by comparing for the first time five widely used power capping mechanisms under the same hardware/software setting. We also explore possible alternative power capping mechanisms beyond what has been previously proposed and evaluate them under the same setup. We systematically analyze the strengths and weaknesses of each mechanism, in terms of energy efficiency, overhead, and predictable behavior. We show how these mechanisms can be combined in order to implement an optimal power capping mechanism which reduces the slowdown compared to the most widely used mechanism by up to 88%. Our results provide interesting insights regarding the different trade-offs of power capping techniques, which will be useful for designing and implementing highly efficient power capping in the future. @inproceedings{ leather_powercapping_icpads2015, author = {Pavlos Petoumenos and Lev Mukhanov and Zheng Wang and Hugh Leather and Dimitrios Nikolopoulos}, title = {Power Capping: What Works, What Does Not}, location = {Melbourne, Australia}, booktitle = {Proceedings of the 21st IEEE International Conference on Parallel and Distributed Systems (ICPADS), 2015}, month = {December}, year = {2015} } 15 Application of Domain-aware Binary Fuzzing to Aid Android Virtual Machine Testing Stephen Kyle, Hugh Leather, Bjorn Franke, Dave Butcher, Stuart Monteith Proceedings of the 2015 International Conference on Virtual Execution Environments (VEE'15) March 2015 Istanbul, Turkey bibtex | abstract | paper(pdf) The development of a new application virtual machine (VM), like the creation of any complex piece of software, is a bug-prone process. In version 5.0, the widely-used Android operating system has changed from the Dalvik VM to the newly-developed ART VM to execute Android applications. As new iterations of this VM are released, how can the developers aim to reduce the number of potentially security-threatening bugs that make it into the final product? In this paper we combine domain-aware binary fuzzing and differential testing to produce DEXFUZZ, a tool that exploits the presence of multiple modes of execution within a VM to test for defects. These modes of execution include the interpreter and a runtime that executes ahead-of-time compiled code. We find and present a number of bugs in the in-development version of ART in the Android Open Source Project. We also assess DEXFUZZs ability to highlight defects in the experimental version of ART released in the previous version of Android, 4.4, finding 189 crashing programs and 15 divergent programs that indicate defects after only 5,000 attempts. @inproceedings{ leather_dalvikfuzzing_vee2015, author = {Stephen Kyle and Hugh Leather and Bjorn Franke and Dave Butcher and Stuart Monteith}, title = {Application of Domain-aware Binary Fuzzing to Aid Android Virtual Machine Testing}, location = {Istanbul, Turkey}, booktitle = {Proceedings of the 2015 International Conference on Virtual Execution Environments (VEE'15)}, month = {March}, year = {2015} } 16 Intelligent Heuristic Construction with Active Learning William F Ogilvie, Pavlos Petoumenos, Zheng Wang, Hugh Leather Proceedings of Compilers for Parallel Computing (CPC) 2015 January 2015 London, England bibtex @inproceedings{ leather_activelearning_cpc2015, author = {William F Ogilvie and Pavlos Petoumenos and Zheng Wang and Hugh Leather}, location = {London, England}, booktitle = {Proceedings of Compilers for Parallel Computing (CPC) 2015}, title = {Intelligent Heuristic Construction with Active Learning}, month = {January}, year = {2015} } 17 Measuring QoE of Interactive Workloads and Characterising Frequency Governors on Mobile Devices. Best Paper Award Volker Seeker, Pavlos Petoumenos, Hugh Leather, Bjorn Franke IISWC '14: Proceedings of the 2014 IEEE International Symposium on Workload Characterization (BEST PAPER!) October 2014 Raleigh, North Carolina, USA bibtex | abstract | paper (pdf) | presentation (pptx) | video for presentation - sample workload | video for presentation - auto replay Mobile computing devices such as smartphones and tablets have become tightly integrated with many peoples life, both at work and at home. Users spend large amounts of time interacting with their mobile device and demand an excellent user experience in terms of responsiveness, whilst simultaneously expecting a long battery life between charging cycles. Frequency governors, responsible for increasing or decreasing the CPU clock frequency depending on the current workload and external events, try to balance the two contrasting goals of high performance and low energy consumption. However, despite their critical role in providing energy efficiency it is difficult to measure the effectiveness of frequency governors in an interactive environment. In this paper we develop a novel methodology for creating repeatable, fully automated, realistic, workloads that can accurately measure time lag in interactive applications resulting from non-optimally selected operating frequencies. We also introduce a new metric capturing the user experience for different ANDROID frequency governors. We evaluate interactive workloads to demonstrate how our approach enables us to automatically record and replay sequences of user interactions for different system configurations. We demonstrate that none of the available ANDROID frequency governors performs particularly well, but leave substantial room for improvement. We show that energy savings of up to 27% are possible, whilst delivering a user experience that is better than that provided by the standard ANDROID frequency governor. We also show that it is possible to save 47% energy with performance that is indistinguishable from permanently running the CPU at the highest frequency. @inproceedings{ leather_interactiveworkloads_iiswc2014, author = {Volker Seeker and Pavlos Petoumenos and Hugh Leather and Bjorn Franke}, title = {Measuring QoE of Interactive Workloads and Characterising Frequency Governors on Mobile Devices.}, location = {Raleigh, North Carolina, USA}, booktitle = {IISWC '14: Proceedings of the 2014 IEEE International Symposium on Workload Characterization (BEST PAPER!)}, month = {October}, year = {2014} } 18 Fast Automatic Heuristic Construction Using Active Learning William F. Ogilvie, Pavlos Petoumenos, Zheng Wang, Hugh Leather LCPC '14: Proceedings of the Workshop on Languages and Compilers for Parallel Computing 15 September 2014 Hillsboro, Oregan, USA bibtex | abstract | paper (pdf) Building effective optimization heuristics is a challenging task which often takes developers several months if not years to complete. Predictive modelling has recently emerged as a promising solution, automatically constructing heuristics from training data. However, obtaining this data can take months per platform. This is becoming an ever more critical problem and if no solution is found we shall be left with out of date heuristics which cannot extract the best performance from modern machines. In this work, we present a low-cost predictive modelling approach for automatic heuristic construction which significantly reduces this training overhead. Typically in supervised learning the training instances are randomly selected to evaluate regardless of how much useful information they carry. This wastes effort on parts of the space that contribute little to the quality of the produced heuristic. Our approach, on the other hand, uses active learning to select and only focus on the most useful training examples. We demonstrate this technique by automatically constructing a model to determine on which device to execute four parallel programs at differing problem dimensions for a representative CpuGpu based heterogeneous system. Our methodology is remarkably simple and yet effective, making it a strong candidate for wide adoption. At high levels of classification accuracy the average learning speed-up is 3x, as compared to the state-of-the-art. @inproceedings{ leather_activelearning_lcpc2014, author = {William F. Ogilvie and Pavlos Petoumenos and Zheng Wang and Hugh Leather}, title = {Fast Automatic Heuristic Construction Using Active Learning}, booktitle = {LCPC '14: Proceedings of the Workshop on Languages and Compilers for Parallel Computing}, location = {Hillsboro, Oregan, USA}, day = {15}, month = {September}, year = {2014} } 19 Automatic Feature Generation for Machine Learning--based Optimising Compilation Hugh Leather, Edwin Bonilla, Michael O'Boyle ACM Trans. Archit. Code Optim. 11 14:1--14:32 Feb 2014 bibtex | abstract | paper(acm) Recent work has shown that machine learning can automate and in some cases outperform handcrafted compiler optimisations. Central to such an approach is that machine learning techniques typically rely upon summaries or features of the program. The quality of these features is critical to the accuracy of the resulting machine learned algorithm; no machine learning method will work well with poorly chosen features. However, due to the size and complexity of programs, theoretically there are an infinite number of potential features to choose from. The compiler writer now has to expend effort in choosing the best features from this space. This article develops a novel mechanism to automatically find those features that most improve the quality of the machine learned heuristic. The feature space is described by a grammar and is then searched with genetic programming and predictive modelling. We apply this technique to loop unrolling in GCC 4.3.1 and evaluate our approach on a Pentium 6. On a benchmark suite of 57 programs, GCCs hard-coded heuristic achieves only 3% of the maximum performance available, whereas a state-of-the-art machine learning approach with hand-coded features obtains 59%. Our feature generation technique is able to achieve 76% of the maximum available speedup, outperforming existing approaches. @article{ leather_autofeatgen_taco14, author = {Hugh Leather and Edwin Bonilla and Michael O'Boyle}, keywords = {Feature generation, genetic programming, program optimisation}, acmid = {2536688}, volume = {11}, numpages = {32}, month = {Feb}, address = {New York, NY, USA}, doi = {10.1145/2536688}, issue_date = {February 2014}, title = {Automatic Feature Generation for Machine Learning--based Optimising Compilation}, articleno = {14}, number = {1}, publisher = {ACM}, url = {https://dl.acm.org/citation.cfm?id=2536688}, pages = {14:1--14:32}, journal = {ACM Trans. Archit. Code Optim.}, year = {2014}, issn = {1544-3566} } 20 Active learning accelerated automatic heuristic construction for parallel program mapping Proceedings of the 23rd international conference on Parallel architectures and compilation (PACT'14) 481--482 24 August 2014 Edmonton, Alberta, Canada bibtex @inproceedings{ leather_activeheur_pact14, organization = {ACM}, author = {table: 0x7fd79550ffa0}, booktitle = {Proceedings of the 23rd international conference on Parallel architectures and compilation (PACT'14)}, location = {Edmonton, Alberta, Canada}, pages = {481--482}, year = {2014}, day = {24}, month = {August}, title = {Active learning accelerated automatic heuristic construction for parallel program mapping} } 21 Auto-tuning Parallel Skeletons Alexander Collins, Christian Fensch, Hugh Leather Parallel Processing Letters (PPL) 22 1240005-1--16 June 2012 bibtex | abstract | paper (pdf) Parallel skeletons are a structured parallel programming abstraction that provide pro- grammers with a predefined set of algorithmic templates that can be combined, nested and parameterized with sequential code to produce complex programs. The implemen- tation of these skeletons is currently a manual process, requiring human expertise to choose suitable implementation parameters that provide good performance. This paper presents an empirical exploration of the optimization space of the FastFlow parallel skele- ton framework. We performed this using a Monte Carlo search of a random subset of the space, for a representative set of platforms and programs. The results show that the space is program and platform dependent, non-linear, and that automatic search achieves a significant average speedup in program execution time of 1:6x over a human expert. An exploratory data analysis of the results shows a linear dependence between two of the parameters, and that another two parameters have little effect on performance. These properties are then used to reduce the size of the space by a factor of 6, reducing the cost of the search. This provides a starting point for automatically optimizing parallel skeleton programs without the need for human expertise, and with a large improvement in execution time compared to that achievable using human expert tuning. @article{ leather_autotuneparallelskeletons_ppl12, author = {Alexander Collins and Christian Fensch and Hugh Leather}, title = {Auto-tuning Parallel Skeletons}, volume = {22}, month = {June}, number = {2}, pages = {1240005-1--16}, journal = {Parallel Processing Letters (PPL)}, year = {2012} } 22 Efficiently Parallelizing Instruction Set Simulation of Embedded Multi-Core Processors Using Region-based Just-in-Time Dynamic Binary Translation Stephen Kyle, Igor Bohm, Bjorn Franke, Hugh Leather, Nigel Topham LCTES '12: Proceedings of the ACM SIGPLAN/SIGBED 2009 Conference on Languages, Compilers, and Tools for Embedded Systems 12 June 2012 Beijing, China bibtex | abstract | paper (pdf) Embedded systems, as typified by modern mobile phones, are already seeing a drive toward using multi-core processors. The number of cores will likely increase rapidly in the future. Engineers and researchers need to be able to simulate systems, as they are expected to be in a few generations time, running simulations of many-core devices on today's multi-core machines. These requirements place heavy demands on the scalability of simulation engines, the fastest of which have typically evolved from just-in-time (Jit) dynamic binary translators (Dbt). Existing work aimed at parallelizing Dbt simulators has focused exclusively on trace-based Dbt, wherein linear execution traces or perhaps trees thereof are the units of translation. Region-based Dbt simulators have not received the same attention and require different techniques than their trace-based cousins. In this paper we develop an innovative approach to scaling multi-core, embedded simulation through region-based Dbt. We initially modify the Jit code generator of such a simulator to emit code that does not depend on a particular thread with its thread-specific context and is, therefore, thread-agnostic. We then demonstrate that this thread-agnostic code generation is comparable to thread-specific code with respect to performance, but also enables the sharing of Jit-compiled regions between different threads. This sharing optimisation, in turn, leads to significant performance improvements for multi-threaded applications. In fact, our results confirm that an average of 76\% of all Jit-compiled regions can be shared between 128 threads in representative, parallel workloads. We demonstrate that this translates into an overall performance improvement by 1.44x on average and up to 2.40x across 12 multi-threaded benchmarks taken from the Splash-2 benchmark suite, targeting our high-performance multi-core Dbt simulator for embedded Arc processors running on a 4-core Intel host machine. @inproceedings{ leather_paralleljit_lctes12, author = {Stephen Kyle and Igor Bohm and Bjorn Franke and Hugh Leather and Nigel Topham}, title = {Efficiently Parallelizing Instruction Set Simulation of Embedded Multi-Core Processors Using Region-based Just-in-Time Dynamic Binary Translation}, booktitle = {LCTES '12: Proceedings of the ACM SIGPLAN/SIGBED 2009 Conference on Languages, Compilers, and Tools for Embedded Systems}, location = {Beijing, China}, day = {12}, month = {June}, year = {2012} } 23 MaSiF: Machine Learning Guided Auto-tuning of Parallel Skeletons Alexander Collins, Christian Fensch, Hugh Leather Proceedings of the 21st International Conference on Parallel Architectures and Compilation Techniques (PACT'12) PACT '12 437--438 2012 Minneapolis, Minnesota, USA bibtex @inproceedings{ leather_masif_pact12, author = {Alexander Collins and Christian Fensch and Hugh Leather}, publisher = {ACM}, location = {Minneapolis, Minnesota, USA}, pages = {437--438}, year = {2012}, series = {PACT '12}, booktitle = {Proceedings of the 21st International Conference on Parallel Architectures and Compilation Techniques (PACT'12)}, title = {MaSiF: Machine Learning Guided Auto-tuning of Parallel Skeletons} } 24 Optimization Space Exploration of the FastFlow Parallel Skeleton Framework Alexander Collins, Christian Fensch, Hugh Leather HLPGPU '12: Proceedings of High-Level Programming for Heterogeneous and Hierarchical Parallel Systems 23 January 2012 Paris, France bibtex | abstract | paper (pdf) Parallel skeletons are a structured parallel programming abstrac- tion that provide programmers with a predefined set of algorithmic templates that can be combined, nested and parametrized with se- quential code to produce complex programs. The implementation of these skeletons is currently a manual process, requiring human expertise to choose suitable implementation parameters that pro- vide good performance. This paper presents an empirical explo- ration of the optimization space of the FastFlow parallel skeleton framework. We performed this using a Monte Carlo search of a ran- dom subset of the space, for a representative set of platforms and programs. The results show that the space is program and platform dependent, non-linear, and that automatic search achieves a signif- icant average speedup in program execution time of 1.6 over a human expert. An exploratory data analysis of the results shows a linear dependence between two of the parameters, and that another two parameters have little effect on performance. These properties are then used to reduce the size of the space by a factor of 6, re- ducing the cost of the search. This provides a starting point for au- tomatically optimizing parallel skeleton programs without the need for human expertise, and with a large improvement in execution time compared to that achievable using human expert tuning. @inproceedings{ leather_opt-expl-skeltons_hlpgpu12, author = {Alexander Collins and Christian Fensch and Hugh Leather}, title = {Optimization Space Exploration of the FastFlow Parallel Skeleton Framework}, booktitle = {HLPGPU '12: Proceedings of High-Level Programming for Heterogeneous and Hierarchical Parallel Systems}, location = {Paris, France}, day = {23}, month = {January}, year = {2012} } 25 Raced Profiles: Efficient Selection of Competing Compiler Optimizations Hugh Leather, Michael O'Boyle, Bruce Worton LCTES '09: Proceedings of the ACM SIGPLAN/SIGBED 2009 Conference on Languages, Compilers, and Tools for Embedded Systems 25-28 June 2009 Dublin, Ireland bibtex | abstract | paper (pdf) | slides (open office) Many problems in embedded compilation require one set of optimizations to be selected over another based on run time performance. Self-tuned libraries, iterative compilation and machine learning techniques all compare multiple compiled program versions. In each, program versions are timed to determine which has the best performance. The program needs to be run multiple times for each version because there is noise inherent in most performance measurements. The number of runs must be enough to compare different versions, despite the noise, but executing more than this will waste time and energy. The compiler writer must either risk taking too few runs, potentially getting incorrect results, or taking too many runs increasing the time for their experiments or reducing the number of program versions evaluated. Prior works choose constant size sampling plans where each compiled version is executed a fixed number of times without regard to the level of noise. In this paper we develop a sequential sampling plan which can automatically adapt to the experiment so that the compiler writer can have both confidence in the results and also be sure that no more runs were taken than were needed. We show that our system is able to correctly determine the best optimization settings with between 76% and 87% fewer runs than needed by a brute force, constant sampling size approach.We also compare our approach to JavaSTATS(10); we needed 77% to 89% fewer runs than it needed. @inproceedings{ leather_racedprofiles_lctes09, author = {Hugh Leather and Michael O'Boyle and Bruce Worton}, title = {Raced Profiles: Efficient Selection of Competing Compiler Optimizations}, booktitle = {LCTES '09: Proceedings of the ACM SIGPLAN/SIGBED 2009 Conference on Languages, Compilers, and Tools for Embedded Systems}, location = {Dublin, Ireland}, day = {25-28}, month = {June}, year = {2009} } 26 Automatic Feature Generation for Machine Learning Based Optimizing Compilation Best Presentation Award Hugh Leather, Edwin Bonilla, Michael O'Boyle CGO '09: Proceedings of the International Symposium on Code Generation and Optimization March 2009 Seattle, United States of America bibtex | abstract | paper (pdf) | slides (open office) | slides no animation (pdf) Recent work has shown that machine learning can automate and in some cases outperform hand crafted compiler optimizations. Central to such an approach is that machine learning techniques typically rely upon summaries or features of the program. The quality of these features is critical to the accuracy of the resulting machine learned algorithm; no machine learning method will work well with poorly chosen features. However, due to the size and complexity of programs, theoretically there are an infinite number of potential features to choose from. The compiler writer now has to expend effort in choosing the best features from this space. This paper develops a novel mechanism to automatically find those features which most improve the quality of the machine learned heuristic. The feature space is described by a grammar and is then searched with genetic programming and predictive modeling. We apply this technique to loop unrolling in GCC 4.3.1 and evaluate our approach on a Pentium 6. On a benchmark suite of 57 programs, GCC's hard-coded heuristic achieves only 3% of the maximum performance available, while a state of the art machine learning approach with hand-coded features obtains 59%. Our feature generation technique is able to achieve 76% of the maximum available speedup, outperforming existing approaches. @inproceedings{ leather_autofeatgen_cgo09, author = {Hugh Leather and Edwin Bonilla and Michael O'Boyle}, title = {Automatic Feature Generation for Machine Learning Based Optimizing Compilation}, location = {Seattle, United States of America}, booktitle = {CGO '09: Proceedings of the International Symposium on Code Generation and Optimization}, month = {March}, year = {2009} } 27 MILEPOST GCC: machine learning based research compiler Grigori Fursin, Cupertino Miranda, Olivier Temam, Mircea Namolaru, Elad Yom-Tov, Ayal Zaks, Bilha Mendelson, Phil Barnard, Elton Ashton, Eric Courtois, Francois Bodin, Edwin Bonilla, John Thomson, Hugh Leather, Chris Williams, Michael O'Boyle Proceedings of the GCC Developers' Summit June 2008 Ottawa, Canada bibtex | abstract | paper (pdf) Tuning hardwired compiler optimizations for rapidly evolving hardware makes porting an optimizing compiler for each new platform extremely challenging. Our radical approach is to develop a modular, extensible, self-optimizing compiler that automatically learns the best optimization heuristics based on the behavior of the platform. In this paper we describe MILEPOST GCC, a machine-learning-based compiler that automatically adjusts its optimization heuristics to improve the execution time, code size, or compilation time of specific programs on different architectures. Our preliminary experimental results show that it is possible to considerably reduce execution time of the MiBench benchmark suite on a range of platforms entirely automatically. @inproceedings{ leather_milepostgcc_gccsum08, author = {Grigori Fursin and Cupertino Miranda and Olivier Temam and Mircea Namolaru and Elad Yom-Tov and Ayal Zaks and Bilha Mendelson and Phil Barnard and Elton Ashton and Eric Courtois and Francois Bodin and Edwin Bonilla and John Thomson and Hugh Leather and Chris Williams and Michael O'Boyle}, title = {MILEPOST GCC: machine learning based research compiler}, location = {Ottawa, Canada}, month = {June}, year = {2008}, booktitle = {Proceedings of the GCC Developers' Summit} } 28 Automatic Feature Generation for Setting Compilers Heuristics Hugh Leather, Elad Yom-Tov, Mircea Namolaru, Ari Freund SMART'08: 2nd Workshop on Statistical and Machine learning approaches to ARchitectures and compilaTion January 2008 Gteborg, Sweden bibtex | abstract | paper (pdf) | slides (open office) Heuristics in compilers are often designed by manually analyzing sample programs. Recent advances have successfully applied machine learning to automatically generate heuristics. The typical format of these approaches reduces the input loops, functions or programs to a finite vector of features. A machine learning algorithm then learns a mapping from these features to the desired heuristic parameters. Choosing the right features is important and requires expert knowledge since no machine learning tool will work well with poorly chosen features. This paper introduces a novel mechanism to generate features. Grammars describing languages of features are defined and from these grammars sentences are randomly produced. The features are then evaluated over input data and computed values are given to machine learning tools. We propose the construction of domain specific feature languages for different purposes in different parts of the compiler. Using these feature languages, complex, machine generated features are extracted from program code. Using our observation that some functions can benefit from setting different compiler options, while others cannot, we demonstrate the use of a decision tree classifier to automatically identify the former using the automatically generated features. We show that our method outperform human generated features on problems of loop unrolling and phase ordering, achieving a statistically significant decrease in run-time compared to programs compiled using GCCs heuristics. @inproceedings{ leather_autofeatgen_smart08, author = {Hugh Leather and Elad Yom-Tov and Mircea Namolaru and Ari Freund}, title = {Automatic Feature Generation for Setting Compilers Heuristics}, location = {Gteborg, Sweden}, booktitle = {SMART'08: 2nd Workshop on Statistical and Machine learning approaches to ARchitectures and compilaTion}, month = {January}, year = {2008} } 29 Emergency Evacuation using Wireless Sensor Networks Barnes M, Leather H, Arvind D K Proceedings of the 32nd IEEE Conference on Local Computer Networks (LCN 2007) - Volume 00 October 2007 Dublin, Ireland bibtex | abstract | paper (pdf) This paper presents a distributed algorithm to direct evacuees to exits through arbitrarily complex building layouts in emergency situations. The algorithm finds the safest paths for evacuees taking into account predictions of the relative movements of hazards, such as fires, and evacuees. The algorithm is demonstrated on a 64 node wireless sensor network test platform and in simulation. The results of simulations are shown to demonstrate the navigation paths found by the algorithm. @inproceedings{ leather_evac_lcn07, author = {Barnes M and Leather H and Arvind D K}, title = {Emergency Evacuation using Wireless Sensor Networks}, location = {Dublin, Ireland}, month = {October}, year = {2007}, booktitle = {Proceedings of the 32nd IEEE Conference on Local Computer Networks (LCN 2007) - Volume 00} } Theses 1 Machine Learning in Compilers Hugh Leather School of Informatics, University of Edinburgh 2010 bibtex | thesis (pdf) @phdthesis{ leather_phdthesis_10, author = {Hugh Leather}, school = {School of Informatics, University of Edinburgh}, year = {2010}, title = {Machine Learning in Compilers} } Invited Talks 1 Program Generation with Deep Learning Seoul National University 18 September 2016 Seoul, South Korea 2 Reducing the High Cost of Low Latency ARM Ltd 1 February 2016 Manchester, England 3 Energy Accounting for Program Optimisation Lancaster University 28 January 2015 Lancaster, England 4 Measuring QoE of Interactive Workloads Intel Corporation 15 September 2014 Hillsboro, Oregan, USA 5 Fast Automatic Heuristic Construction Iiswc 12 October 2014 Raleigh, North Carolina, USA 6 Active learning accelerated automatic heuristic construction Pact 24 August 2014 Edmonton, Alberta, Canada 7 Automatic Feature Generation for Machine Learning Based Optimizing Compilation Compusoc 26 February 2014 Edinburgh, Scotland 8 Machine Learning in Compilers Peking University 23 November 2013 Beijing, China 9 Mobile System Optimisation Qualcomm Ltd 18 August 2013 San Jose, California, USA 10 Operating System Optimisation Freescale Ltd 24 March 2013 East Kilbride, Scotland 11 Machine Learning in Compilers Beihang University 13 March 2013 Beijing, China 12 Accelerating Programs with Iterative Compilation Baidu Ltd 12 March 2013 Beijing, China 13 Optimising Compilers with Machine Learning Hong Kong University of Science and Technology (HKUST) 07 March 2013 Hong Kong, China 14 Mobile Device Optimisation with Machine Learning SCONE (SCOttish Networking Event) 08 February 2013 Edinburgh Scotland 15 Machine Learning Compilers and Mobile Systems University of St Andrews 11 April 201 St Andrews, Scotland 16 Optimising the Mobile Net ARM Ltd 17 September 2012 Cambridge, England 17 How to Give a Research Presentation After the previous, good reception of my talk at the 2011 SICSA conference, I have been asked to reprise the rle at this year's conference, providing advice on how to present research at conferences. SICSA Conference 2012 21 June 2012 Glasgow, Scotland slides (open office) | slides (pdf) 18 Machine Learning, Compilers and Mobile I will present my research and give an overview of the state-of-the-art in this field. Department of Computer Science 15 May 2012 St.Andrews, Scotland slides (open office) | slides (pdf) 19 Automatic Feature Generation for Machine Learning in Compilers I have been invited to present my PhD research. Department of Computer Science 29 February 2012 Manchester, Scotland slides (open office) | slides (pdf) 20 Optimising the Mobile Net Samsung 17 May 2011 Staines, England 21 How to Give a Research Presentation I was asked to give a talk about how to do conference presentations. PhD Induction 2011 21 October 2011 Firbush, Scotland slides (open office) | slides (pdf) 22 Collaborative Machine Learning Compiler and OS Optimisation for Android Devices ARM Ltd 31 May 2011 Cambridge, England 23 How to Give a Research Presentation I was asked to give a talk about how to do conference presentations. The seminar was the highest rated talk at the conference and, as a result, I have been asked to repeat the talk at this year's conference. SICSA Conference 2011 24 May 2011 Edinburgh, Scotland slides (open office) | slides (pdf) 24 Machine Learning in Compilers for Parallelisation Presented to Keshav Pingali's group which produces the Galois parallel system. ACES, University of Texas 27 May 2009 Austin, Texas, USA slides (open office) 25 Optimising Compilation with Machine Learning Keith Cooper asked me to present a lecture to his group, explaining the state of the art in machine learning for compilers. Rice University 26 May 2009 Houston, Texas, USA slides (open office) 26 Machine Learning in Compilers Google invited me to present an overview of machine learning in compilers. I was asked to show the cutting edge and give particular emphasis to the developments at Edinburgh. Google Technical Talks 21 May 2009 Mountain View, California, USA slides (open office) 27 Efficient Selection of Competing Compiler Optimizations Trinity College Dublin 19 June 2009 Dublin, Ireland 28 Automatic Feature Generation for Setting Compiler Heuristics University of Gothenburg 27 January 2008 Goteborg, Sweden 29 Learning Compilers for Configurable Processors I was invited by the European Commission, DG INFSO of Embedded Systems, to present our research at a conference aimed at cementing collaboration opportunities between the EU and Korea. I was asked because the EU felt that ours was an example of outstanding work. Korea-EU Cooperation Forum on ICT 16-17 June 2008 Seoul, S. Korea slides (pdf) 30 Machine Learning for Configurable Processors I gave a talk demonstrating how machine learning could be used to improve the company's compilers which targeted configurable processors. The talk explained the basics of ML techniques with particular reference to work that combined architectural and code features. ARC International 2008 St. Albans, UK 31 Extensibility for GCC I was asked to give a presentation on my work making GCC extensible. Making the compiler extensible means allowing heuristics to be driven from the outside and is essential for performing machine learning tasks without hacking the compiler. INRIA 2007 Paris, France 32 libPlugin: a Plugin Library for GCC I presented my tool chain, libPlugin, which provides an elegant plug-in framework for the GCC compiler. This presentation was given to members of the compiler team in IBM research. IBM Research 2007 Haifa, Israel 33 Scripting Compilers This company was beginning to look at machine learning experiments in GCC. During a week long visit to help solve this problem, I also gave a talk on how scripting languages can enable iterative compilation by making the compiler extensible. As a result of this the company began using my ECMA Scripting extensions for GCC. CAPS Enterprise 2006 Rennes, France Full BibTex Contact 1001 HUGH LEATHER School of Informatics Room 1.18a, Informatics Forum 10 Crichton Street Edinburgh EH8 9AB United Kingdom +44 (0)131 650 2707 hleather at inf dot ed dot ac dot uk This website has been designed by my very good friend, Ed Brooke. If you like a website built for you, he's your guy! He can be found at www.oddsok.com . Thanks so much for the Website, Ed! Copyright 2016. All rights reserved. Design by oddsok . diff --git a/src/data/compiled_bios/5404.txt b/src/data/compiled_bios/5404.txt new file mode 100644 index 0000000000..ad9e4b0adf --- /dev/null +++ b/src/data/compiled_bios/5404.txt @@ -0,0 +1 @@ + John Lee Roles Professor of Digital Media Deputy Director of HCRC and member of the Institute for Language, Cognition and Computation (ILCC) Programme Director of the MSc/Diploma in Design and Digital Media in Edinburgh College of Art Co-convener of the University's IT Futures Group Organiser of the Design and Informatics Research Programme Contributor to the Topics in Cognitive Modelling course Until recently: Manager of IDEA Lab -- an initiative funded within the School of Science and Engineering to fund Proof of Principle Prototyping Projects that seed innovative research developments Co-ordinator of the Edinburgh-Stanford Link research and commercialisation programme Academic course organiser of the Informatics Entrepreneurship courses Course organiser of Human Communication 1 in the School of Informatics Research A recently completed collaborative project continued an investigation of the paradigm of "Vicarious Learning", as part of the national Teaching and Learning Research Programme (TLRP). This concept is being pursued further : a small Principal's e-Learning Fund project has developed an interface for student communities to re-use video recordings of tutorials as a learning resource. A prototype of this system (which we call "YouTute") is being put into use with several courses in Informatics. This work has been recognised by the Chancellor's Award for Teaching 2009 . My other activities centre around several themes: the relationship between language and other modalities information technology in support of design and learning communication, information management and knowledge representation in urban and similar contexts -- as part of the COST Action C21 (Towntology) (which has recently concluded). I maintain an international bibliography of works by, and book-length works devoted to, the late philosopher of language and many other things, Nelson Goodman . Contacting me By Email J.Lee@ed.ac.uk By Phone (+44) 131 650 4420 / 2335 By Fax (+44) 131 650 4587 By Post Human Communication Research Centre University of Edinburgh Informatics Forum 10 Crichton Place Edinburgh EH8 9AB Scotland, UK Graduate School of Edinburgh College of Art University of Edinburgh Alison House 12 Nicolson Square Edinburgh EH8 9DF Scotland, UK Last updated: February 2012 diff --git a/src/data/compiled_bios/5405.txt b/src/data/compiled_bios/5405.txt new file mode 100644 index 0000000000..66a5bcdb15 --- /dev/null +++ b/src/data/compiled_bios/5405.txt @@ -0,0 +1 @@ + Advanced Robotics Lab People Projects Publications Open Positions Education Contact Us Welcome to the Advanced Robotics Lab Our goal is to control the dynamic behaviour of a wide variety of robotic systems, particularly articulated floating base systems, e.g. humanoids and quadrupeds. In order to best utilize the hardware facilities in the ECR , we are interested in producing skilful, agile, athletic, and well coordinated physical motions and interactions for the humanoid Valkyrie, the ANYmal quadruped, and bi-manual Husky robots. Research Directions Control algorithms for dynamic robot motion: dynamic locomotion, multi-contact mobility, loco-manipulation. Torque/impedance control for safe and compliant physical-interactions. Machine learning for versatile locomotion of humanoid robots. Transferring human motor control and coordination skills to humanoids. diff --git a/src/data/compiled_bios/5406.txt b/src/data/compiled_bios/5406.txt new file mode 100644 index 0000000000..8db1eb2181 --- /dev/null +++ b/src/data/compiled_bios/5406.txt @@ -0,0 +1 @@ + Leonid Libkin Professor, School of Informatics Laboratory for Foundations of Computer Science University of Edinburgh Informatics Forum , IF 5.33, Crichton Street Edinburgh, EH8 9AB, UK Email: last_name at ed . ac . uk Telephone: + 44 (0) 131 651 3816, Fax: +44 (0) 131 651 1426 Research Interests Databases : query languages, relational, XML, and graph data, constraints and design, data integration and exchange, incomplete information, etc. Logic in computer science , finite model theory , automata theory In the past: lattice theory , with some applications to programming semantics. Books Papers (most of them online) Teaching Former students and postdocs (prospective students and postdocs - please email me) Database Theory Look here for information about applying to study for a PhD in Informatics at Edinburgh and here for the Data Science PhD program.. diff --git a/src/data/compiled_bios/5407.txt b/src/data/compiled_bios/5407.txt new file mode 100644 index 0000000000..968d6bcd79 --- /dev/null +++ b/src/data/compiled_bios/5407.txt @@ -0,0 +1 @@ + John Longley's homepage I got married to Caroline on 25 March 2006. Here we are at our wedding reception. (And here is the tie I was wearing.) Contact details : Dr. John Longley Laboratory for Foundations of Computer Science, School of Informatics Informatics Forum, 10 Crichton Street Edinburgh EH8 9AB, UK Email: jrl@inf.ed.ac.uk Office: Room 4.11, Informatics Forum. Tel. +44 (0)131 650 5140. Please note that I work part-time at the University of Edinburgh. For a 90-second introduction to what my research is about, watch my Research in a Nutshell video produced by Siri Rodnes. My book with Dag Normann, Higher-Order Computability (588 pages), was published by Springer in November 2015 (under the Computability in Europe series Theory and Applications of Computability ). For more details, or to purchase the book, visit the book's page on the Springer website , or amazon.com , or amazon.co.uk . Here is a list of known errata in the book. My research papers and slides . Home page for Eriskay , an object oriented programming language based on game semantics. Home page for Stratagem , a cool program offering a gentle introduction to game semantics. Musical activities John Longley Last modified: Tue Sep 15 13:04:28 BST 2015 diff --git a/src/data/compiled_bios/5408.txt b/src/data/compiled_bios/5408.txt new file mode 100644 index 0000000000..465e474094 --- /dev/null +++ b/src/data/compiled_bios/5408.txt @@ -0,0 +1 @@ + Jump to: Navigation About me I develop computational models of natural language learning, understanding and generation in people and machines, and my research focuses on basic scientific problems related to these models. I am especially interested in modeling the rich diversity of linguistic phenomena across the worlds languages. I am a Reader in the Institute for Language, Cognition, and Computation in the School of Informatics at the University of Edinburgh . My research group is part of the larger Edinburgh natural language processing group and we collaborate with many people in Edinburgh and more widely. I am also the co-director of the Centre for Doctoral Training in Data Science , which offers a four-year MSc + PhD programme. News Im in the Edinburgh Science Festival ! My interactive talk about language translation technologies will be on April 10. In January 2019, Sorcha Gilroy successfully defended her PhD thesis on Probabilistic Graph Formalisms for Meaning Representations. During her time as a student, she received an oustanding paper award at NAACL 2018 and was a finalist in University of Edinburgh 3-minute thesis competition , along with many other accomplishments. Sorcha Gilroy and I gave a tutorial on Graph Formalisms for Meaning Representations at EMNLP 2018 . We taught a week-long course on the same topic at NASSLLI 2018 . Current Highlights Neural networks for cross-lingual negation scope detection Federico Fancellu, Adam Lopez, and Bonnie Webber. In arXiv preprint arXiv:1810.02156 . 2018. Pre-training on high-resource speech recognition improves low-resource speech-to-text translation Sameer Bansal, Herman Kamper, Karen Livescu, Adam Lopez, and Sharon Goldwater. In arXiv preprint arXiv:1809.01431 . 2018. What do character-level models learn about morphology? The case of dependency parsing Clara Vania, Andreas Grivas, and Adam Lopez. In Proceedings of EMNLP . 2018. Indicatements that character language models learn English morpho-syntactic units and regularities Yova Kementchedjhieva and Adam Lopez. In Proceedings of the Workshop on analyzing and interpreting neural networks for NLP . 2018. Low-resource speech-to-text translation Sameer Bansal, Herman Kamper, Karen Livescu, Adam Lopez, and Sharon Goldwater. In Proceedings of Interspeech . 2018. Does ability affect alignment in second language tutorial dialogue? Arabella Sinclair, Adam Lopez, Christopher G. Lucas and Dragan Gaevi. In Proceedings of SIGDIAL . 2018. A structured syntax-semantics interface for English-AMR alignment Ida Szubert, Adam Lopez, and Nathan Schneider. In Proceedings of NAACL . 2018. Weighted DAG automata for semantic graphs David Chiang, Frank Drewes, Daniel Gildea, Adam Lopez, and Giorgio Satta. In Computational Linguistics , 44(1) : pages 119186,. 2018. Parsing graphs with regular graph grammars Sorcha Gilroy, Adam Lopez, and Sebastian Maneth. In Proceedings of *SEM . 2017. (Re)introducing regular graph languages Sorcha Gilroy, Adam Lopez, Sebastian Maneth, and Pijus Simonaitis. In Meeting on the Mathematics of Language . 2017. Made with jekyll using Hydejack v 8.0.0 Adam Lopez University of Edinburgh Navigation: Papers Teaching Collaborators Prospective collaborators Blog CV Social: Email GitHub Twitter Templates (for web app): Loading Error Sorry, an error occurred while loading . Back Permalink diff --git a/src/data/compiled_bios/5409.txt b/src/data/compiled_bios/5409.txt new file mode 100644 index 0000000000..7ea2d4c8fc --- /dev/null +++ b/src/data/compiled_bios/5409.txt @@ -0,0 +1 @@ + University Homepage School Homepage School Contacts School Search Christopher Lucas Position Lecturer Roles Member of Institute for Language, Cognition and Computation PGR Selector of Institute for Language, Cognition and Computation Institute for Language, Cognition and Computation Chancellor's Fellow 2013 of Informatics Member of Ethics Panel Personal Tutor of Informatics UG Students Project supervision of Honours Project Project supervision of MSc Dissertation Email Address Office,Telephone IF-3.31,+44 (0) 131 651 3260 Publications - Edinburgh Research Explorer Home : People Informatics Forum, 10 Crichton Street, Edinburgh, EH8 9AB, Scotland, UK Tel: +44 131 651 5661, Fax: +44 131 651 1426, E-mail: school-office@inf.ed.ac.uk Database generated page, please contact us with any comments or corrections. Logging and Cookies Unless explicitly stated otherwise, all material is copyright The University of Edinburgh diff --git a/src/data/compiled_bios/541.txt b/src/data/compiled_bios/541.txt new file mode 100644 index 0000000000..5a9065eaad --- /dev/null +++ b/src/data/compiled_bios/541.txt @@ -0,0 +1 @@ +Monisha Ghosh Associate Member Department of Computer Science Email: monisha@uchicago.edu Phone: 773-702-3710 Office: JCL 358 Website: https://people.cs.uchicago.edu/~monisha/ diff --git a/src/data/compiled_bios/5410.txt b/src/data/compiled_bios/5410.txt new file mode 100644 index 0000000000..a14458c5fb --- /dev/null +++ b/src/data/compiled_bios/5410.txt @@ -0,0 +1 @@ + University Homepage School Homepage School Contacts School Search Tiejun Ma Position Reader in Business Applications of Informatics Roles Member of Centre for Intelligent Systems and their Applications Email Address Office,Telephone IF-3.47A,+44 (0) 131 651 5642 Publications - Edinburgh Research Explorer Home : People Informatics Forum, 10 Crichton Street, Edinburgh, EH8 9AB, Scotland, UK Tel: +44 131 651 5661, Fax: +44 131 651 1426, E-mail: school-office@inf.ed.ac.uk Database generated page, please contact us with any comments or corrections. Logging and Cookies Unless explicitly stated otherwise, all material is copyright The University of Edinburgh diff --git a/src/data/compiled_bios/5411.txt b/src/data/compiled_bios/5411.txt new file mode 100644 index 0000000000..ce85dfd897 --- /dev/null +++ b/src/data/compiled_bios/5411.txt @@ -0,0 +1 @@ + Home Publications Patents In the Media Resources Courses Grad Students Walid Magdy Lecturer (assistant professor) ILCC group School of Informatics The University of Edinburgh Short Bio I am a faculty member at the Institute for Language, Cognition and Computation ( ILCC ), part of the School of Informatics , the Univeristy of Edinburgh . I am also a faculty fellow at The Alan Turing Institute . My main expertise is in social computing, information retrieval (IR), and data mining. I hold my PhD degree from the School of Computing , Dublin City University ( DCU ). I have large industrial background from working for Qatar Computing Research Institute ( QCRI ), Microsoft , and IBM . Research Interests Social Computing Social content analysis (computational social science), political bias detection, and users' behavior prediction Information Retrieval Information filtering, social search, patent search, evaluation metrics, Arabic IR, and cross-language IR (CLIR) Data Mining Text mining, classification, and sentiment analysis Natural Language Processing Arabic NLP tasks Research Activities Reviewer in journals: ACM Transactions on Information Systems (TOIS), ACM Transactions on Internet Technology (TOIT), Communications of the ACM, IEEE Transactions on Knowledge and Data Engineering (TKDE), IEEE Transactions on Information Forensics and Security (TIFS), Elsevier IP&M, Elsevier Information Systems, Elsevier Expert Systems, Elsevier Telecommunication and Informatics, Elsevier World Patent Information, Elsevier Computer Speech & Language, Elsevier Journal of Network and Computer Applications, Springer IR Journal, AI Communications, Computational Linguistics, WWW Journal, Applied Computing & Informatics, Social Network Analysis and Mining (SNAM), Online Information Review Journal, Journal of Telemedicine and Telecare. PC member / reviewer in conferences (sorted alphabetically): 2011: CIKM, IJCNLP. 2012: IRFC. 2013: CLEF, IRFC, SIGIR. 2014: CLEF, IRFC, SIGIR. 2015: CIKM, ECIR, ICWSM, KDIR, SIGIR. 2016: CIKM, CSCW, ECIR, EMNLP, ICWSM, HCMOP, SIGIR. 2017: EACL, ECIR, ICWSM, SIGIR, WWW. 2018: CIKM, CSCW, ECIR, EMNLP, HICSS51, ICNLSP, ICWSM, SDCS, TheWebConf. 2019: ACL, CHI, ECIR, ICWSM, WebSci, ... Co-organizer of the CLEF-IP track 2012 and SemEval 2015, 2016 Co-organizer the following workshops: 2nd Workshop on Arabic Corpora and Processing Tools , @LREC 2016 3rd Workshop on Arabic Corpora and Processing Tools , @LREC 2018 BroDyn: Analysis of Broad Dynamic Topics over Social Media , @ECIR 2018 WANLP: The Fourth Arabic Natural Language Processing Workshop , @ACL 2019 Tutorials: Possible Directions for Building a Career in Data Science, Cairo University, Egypt, Dec 2017. Tutorial Link Possible Directions for Building a Career in Data Science, Alexandria University, Egypt, Dec 2018. Tutorial Link Publications List of my full publications: publications Patents List of my patents filed by IBM, Microsoft, DCU, and QCRI: patents Media Attentions List of news artciles published on some of my work: here Contact Email: (wmagdy) at inf dot ed dot ac dot uk 10 Crichton Street Informatics Forum 3.12A Edinburgh EH8 9AB United Kingdom Phone: +44 (0) 131 651 5612 [ Home | Publications | Patents | Media Attention ] Last Modified: Sep 2018 unique visitors diff --git a/src/data/compiled_bios/5412.txt b/src/data/compiled_bios/5412.txt new file mode 100644 index 0000000000..1895b7f82a --- /dev/null +++ b/src/data/compiled_bios/5412.txt @@ -0,0 +1 @@ + Mahesh K. Marina Institute for Computing Systems Architecture (ICSA) School of Informatics The University of Edinburgh E-mail: maheshed.ac.uk Phone: +44 (0)131 650 5125 Fax: +44 (0)131 651 5651 Room 1.20, Informatics Forum ( Central area campus ) 10 Crichton Street Edinburgh, EH8 9AB Scotland, UK Short Bio Im a Reader in the School of Informatics at the University of Edinburgh and a Turing Fellow at the Alan Turing Institute . At Edinburgh, I currently also serve as the Director of Institute for Computing Systems Architecture (one of the six research institutes within Informatics). Before joining Edinburgh, I had a two-year postdoctoral stint at the UCLA Computer Science Department in the Mobile Systems Laboratory headed by Prof. Rajive Bagrodia . I received my PhD in Computer Science in 2004 from the State University of New York at Stony Brook , where my advisor was Prof. Samir Das . I have previously held visiting researcher positions at ETH Zurich and at Ofcom London . Im a Senior Member of the ACM and the IEEE . Research My research broadly falls under networks and distributed systems and in particular within wireless networks and mobile systems . Within Informatics@Edinburgh, I'm a member of the Networks Research Group as well as the Security and Privacy group . My recent and on-going research is on the following topics, focusing mostly on various facets of next-generation (5G) mobile networks: 5G system architecture & network slicing Spectrum sharing Universal Internet access (see also my previous work on Tegola , NextGen Challenge 2011 Prize Winner ) Cellular IoT Crowdsourced wireless network monitoring Mobile context detection and sensing Privacy in the mobile domain Publications (also see Google Scholar listing) Team: Research Associate Xenofon Foukas PhD Students Galini Tsoukaneri Mohamed Kassem Rajkarn Singh Prospective PhD Students Graduated PhD Students Giacomo Bernardi (now at Extreme Networks) Sofia Pediaditaki (now at Intel) Arsham Farshad (now at Lancaster University) Lito Kriara (now at Disney Research, Zurich) Valentin Radu (now a Research Associate in Informatics@Edinburgh) Saravana Manickam (now running an IoT startup) Xenofon Foukas (now a Research Associate in Informatics@Edinburgh) Mahrukh Fida (now a Postdoctoral Fellow at Simula Research Laboratory) Teaching I am involved in teaching the following courses: UG4/MSc Computer Networking (CN) UG3 Computer Communications and Networks (COMN) Professional Service (recent/selected) Organising Committee Member (2018 - present), MobiUK Co-Founder and Steering Committee Member (till 2013), ACM MobiCom WiNTECH Workshop Co-Founder and Organising Committee Member (till 2014), SCONE (SCOttish Networking Event) Program Co-Chair: ICC 2017 Next Generation Networking and Internet Symposium , All Things Cellular 2016 (with ACM MobiCom ) Program Committee Member: IEEE INFOCOM 2016-19 , IEEE SECON 2012-18 , ACM MobiSys 2016 (External PC) , ACM DEV 2015-16 diff --git a/src/data/compiled_bios/5413.txt b/src/data/compiled_bios/5413.txt new file mode 100644 index 0000000000..433d423575 --- /dev/null +++ b/src/data/compiled_bios/5413.txt @@ -0,0 +1 @@ + University Homepage School Homepage School Contacts School Search Ursula Martin Position Professor Roles Member of Centre for Intelligent Systems and their Applications Fellowship of Full Session [Sem 1 and Sem 2] Email Address Office,Telephone IF-3.12 Publications - Edinburgh Research Explorer Home : People Informatics Forum, 10 Crichton Street, Edinburgh, EH8 9AB, Scotland, UK Tel: +44 131 651 5661, Fax: +44 131 651 1426, E-mail: school-office@inf.ed.ac.uk Database generated page, please contact us with any comments or corrections. Logging and Cookies Unless explicitly stated otherwise, all material is copyright The University of Edinburgh diff --git a/src/data/compiled_bios/5414.txt b/src/data/compiled_bios/5414.txt new file mode 100644 index 0000000000..9b4e8c6339 --- /dev/null +++ b/src/data/compiled_bios/5414.txt @@ -0,0 +1 @@ + Dr. Richard ayr More pictures Dr. Richard Mayr University of Edinburgh School of Informatics, LFCS Room 4.11a, Informatics Forum 10 Crichton Street Edinburgh EH8 9AB UK Phone: +44 131 650 5130 Fax: +44 131 667 7209 Electronic messages Reader in Computer Science, University of Edinburgh, LFCS . PhD in Computer Science at TU-Munich, Germany, 1998 and Habilitation at University of Freiburg, Germany, 2002. Since then I have worked in many different countries. Short CV My Erds number is 3. Find your number at MathSciNet . @ Open positions Postdoc Positions 10 month Postdoc position (Nov 2018-Aug 2019) available. Required is a PhD with a strong background in game theory, formal methods, automata theory, or logic. Vacancy Reference 045523: Research Associate (Energy Efficient Control). PhD Studentships I am looking for PhD students with a strong background in mathematics and/or theoretical computer science. Current research topics include Game Theory, Markov Decision Processes, Efficient Algorithms, Logic and Automata Theory. See in particular the following PhD scholarships for full-time students. Enlightenment Scholarships Informatics Global Research Scholarships See our general website for information on how to apply and contact me if you do. Apart from the standard PhD program for students who already hold an MSc, there is also a combined 4-year MSc/PhD program. (The EPSRC-funded Centre for Doctoral Training in Pervasive Parallelism at the University of Edinburgh.) Students undertake an initial MSc by Research year, followed by three years of PhD study. See http://pervasiveparallelism.inf.ed.ac.uk for details. Research Interests Formal Verification Formal models for distributed systems: Petri nets, process algebras and automata theoretic models. Verification of systems with infinitely many states. Algorithms for the design and verification of reactive and distributed systems. Decidability and complexity of model checking problems. Decidability and complexity of bisimulation equivalence and other semantic equivalences. Scalable verification methods and their application to industrial specification languages like UML RT. Analysis and verification of probabilistic systems: Markov chains, Markov reward models, Stochastic games. Logic Automata Theory Term rewriting. Tableau systems. Exotic computing devices and the borders of decidability. My habilitation thesis: ``On Verification Problems for Systems with Infinite State Spaces''. , (September 2002). My PhD thesis: ``Decidability and Complexity of Model Checking Problems for Infinite-State Systems''. , (April 1998). Publications (see also the listing at the DBLP server ) Publications in refereed journals and conference proceedings Technical reports, theseses and other texts. Book chapters Software Tools Some practical tools for solving computationally hard problems in automata theory, in particular language inclusion, equivalence and universality, and minimization of non-deterministic automata. See the slides of this overview talk , as well as the main website Languageinclusion.org . Research group Current Students Radu Ciobanu , PhD Student, University of Edinburgh, UK. (Since fall 2014.) Former Students Ricardo Almeida , PhD Student, University of Edinburgh, UK. 2013-2017. Patrick Totzke , PhD Student, University of Edinburgh, 2010-2014. Postdoctoral RA 2016-2018. Lorenzo Clemente , PhD Student, University of Edinburgh, UK. 2009-2012. Anthony Widjaja Lin (previously: Widjaja To), PhD Student, University of Edinburgh, UK. 2008-2010. Noomene Ben Henda, PhD Student, Uppsala University, Sweden, 2004-2008. Wei Wei, PhD Student, University of Freiburg, Germany. 2002-2004. Current Teaching Algorithms and Data Structures. (Spring terms 2017, 2018 and 2019). Algorithmic Game Theory and Applications. (Fall term 2014). Logic Programming (Fall term 2014). Discrete Mathematics and Mathematical Reasoning (Fall term 2013) Other Current Activities MFCS 2018 43rd International Symposium on Mathematical Foundations of Computer Science. August 27-31, 2018, Liverpool (UK). RP 2016 10th International Workshop on Reachability Problems. 19 - 21 September 2016, Aalborg, Denmark. GandALF 2015 The Sixth International Symposium on Games, Automata, Logics and Formal Verification. September 21-23, 2015, Genova, Italy. RP 2015 9th International Workshop on Reachability Problems. 21-23 September 2015, Warsaw, Poland. 1st EATCS Young Researchers School on Automata, Logic and Games. July 27 - Aug 1, 2014. Telc/Czech Republic. Twenty-Seventh Annual IEEE Symposium on LOGIC IN COMPUTER SCIENCE (LICS 2012) MEMICS 2011, Annual Doctoral Workshop on Mathematical and Engineering Methods in Computer Science TACAS 2011. Tools and Algorithms for the Construction and Analysis of Systems. If this is Greek to you then you can at least have some fun . diff --git a/src/data/compiled_bios/5415.txt b/src/data/compiled_bios/5415.txt new file mode 100644 index 0000000000..61b5be9b97 --- /dev/null +++ b/src/data/compiled_bios/5415.txt @@ -0,0 +1 @@ + University Homepage School Homepage School Contacts School Search Michael Mistry Position Reader in Robotics Roles Member of Institute of Perception, Action and Behaviour BoE Convenor of MSc BoE & SCC Committees Convenor of Library Committee Personal Tutor of Informatics MSc Students Email Address Office,Telephone BC-1.20,+44 (0) 131 650 2937 Publications - Edinburgh Research Explorer Home : People Informatics Forum, 10 Crichton Street, Edinburgh, EH8 9AB, Scotland, UK Tel: +44 131 651 5661, Fax: +44 131 651 1426, E-mail: school-office@inf.ed.ac.uk Database generated page, please contact us with any comments or corrections. Logging and Cookies Unless explicitly stated otherwise, all material is copyright The University of Edinburgh diff --git a/src/data/compiled_bios/5416.txt b/src/data/compiled_bios/5416.txt new file mode 100644 index 0000000000..e9737f2ccc --- /dev/null +++ b/src/data/compiled_bios/5416.txt @@ -0,0 +1 @@ + Johanna D. Moore Director: Human Communication Research Centre Co-Director: Institute for Language, Cognition, and Computation Professor: School of Informatics Past President: Association for Computational Linguistics Past Chair: Cognitive Science Society Current Research Projects AMIDA: Augmented Multiparty Interaction with Distance Access CLASSIC: Computational Learning in Adaptive Systems for Spoken Conversation MATCH: Mobilising Advanced Technology for Care in the Home Teaching Fall 2010: Informatics Literacy Spring 2011: Natural Language Generation Publications The HCRC Map Task Corpus Links Past Research Projects AMI: Augmented Multiparty Interaction COMIC: COnversational Multimodal Interaction with Computers Multimedia Explanation LeActiveMath: Language-Enhanced, User Adaptive, Interactive eLearning for Mathematics TALK: Talk and Look: Tools for Ambient Linguistic Knowledge Discourse Planning: DPOCL Longbow Integrated Techniques for Interpretation and Generation Patient Education Home Contact Information Prof. Johanna D. Moore Human Communication Research Centre The University of Edinburgh Informatics Forum, 3.14 10 Crichton Street Edinburgh EH8 1AB United Kingdom J.Moore@ed.ac.uk http://homepages.inf.ed.ac.uk/jmoore +44 131 651 1336 (phone) +44 131 650 4587 (fax) View my calendar here . To make an appointment, send email to . diff --git a/src/data/compiled_bios/5417.txt b/src/data/compiled_bios/5417.txt new file mode 100644 index 0000000000..86bd50f2c1 --- /dev/null +++ b/src/data/compiled_bios/5417.txt @@ -0,0 +1 @@ + Iain Murray Reader in Machine Learning , School of Informatics , University of Edinburgh . Contact : i.murray@ed.ac.uk . Background/bio/interests . Contact : i.m urray @e d.ac.u k. Background/bio/interests . Currently highlighting: Inference: Sequential Neural Likelihood and Pseudo-Marginal Slice Sampling . Browser extension : redirect links to PDFs on arXiv etal. to the papers abstractpage. Density estimation: NADE variants , and MaskedAutogressiveFlow . A cartoon sketch of some research interests. Main content: Students Publications Teaching , including video lectures on Machine Learning , MCMC Edinburgh Informatics: PersonalTutor , MLPRMachineLearningcourse , Projectsupervision . Code , Computer notes Information for prospective students Fun misc stuff: NeurIPSsubmissiontimes ; orangesandlemons ; mybrain ; Edinburgh Juggling . My other webpages and useful links . Iain Murray , contact details diff --git a/src/data/compiled_bios/5418.txt b/src/data/compiled_bios/5418.txt new file mode 100644 index 0000000000..e0396d550d --- /dev/null +++ b/src/data/compiled_bios/5418.txt @@ -0,0 +1 @@ + Vijay Nagarajan (On sabbatical 2018/19. Honorary Visting Faculty at IIT Madras) Reader (Associate Professor) Institute of Computer Systems Architecture School of Informatics University of Edinburgh 1.22 Informatics Forum 10 Crichton Street Edinburgh, EH8 9AB Office Phone: (+44) 131-651-3440 E-mail: vijay.nagarajan at ed.ac.uk Publications People Teaching Personal CV Research My research interests broadly span the areas of computer architecture, compilers and computer systems. I work on hardware/software support for: Research area Selected Publications Project/Funding Consistency & Coherence [ISCA'18] [EuroSys'18] [DATE'18] [FMCAD'17] [HPCA'16] [TACO'15] [HPCA'14] [PLDI'13] [ASPLOS'12] EPSRC Persistent Memory [ISCA'18] [HPCA'17] [MICRO'15] [NVMW'15] Intel Control Flow Delivery [ASPLOS'18] [HPCA'17] EPSRC DRAM Caches [MICRO'16] [SC'16] [PACT'14] British Council GPU Memory Systems [HPCA'19] [ISPASS'17] [TACO'17] Robotics [RSS'16] [IROS'16] [ICAR'15] AnyScale Apps ( EPSRC ) Full list of my publications People PhD Students Vasileios Gavrielatos Nicolai Oswald Mahesh Dananjaya PhD Alumni Bharghava Rajaram (First: Assistant Professor, VIT University; Current: Assistant Professor, Mahindra Ecole Centrale, India) Andrew J. McPherson (First: IBM Research; Current: Senior Data Scientist, Credit Suisse) Marco Elver (Software Engineer, Google, Mountain View) Cheng-Chieh Huang (First: Senior Software Development Engineer, Mentor Graphics; Current: Software Engineer, Google) Arpit Joshi (Researcher, Intel, Portland) Saumay Dublish (Synopsys) Post-doc Alumni Jose Cano Reyes (Assistant Professor, University of Glasgow) Rakesh Kumar (Associate Professor, NTNU) Chris Banks (Permanent Research Scientist, Roslin Institute and School of Veterinary studies, Edinburgh Teaching Parallel Architectures 2013-present Computer Architecture 2012-present Professional Activities Editorial Board: IEEE CAL (Associate Editor) Organizing Committees: WAMS 18 LCTES 17 (General Chair) PLDI 14 (Finance Chair) PACT 13 (Registration Chair) Program Committees: HPCA 19/17 CC 18 SC 16 RTCSA 14/15/16 NAS 14/15 NVMSA 15/16/17 ICCD 14/15 WODA 14 External Review Committees: PACT 18/14 ICS 14 PLDI 14 ASPLOS Doctoral Workshop 12 (mentor) Membership: NAIS , ACM, IEEE, HiPEAC diff --git a/src/data/compiled_bios/5419.txt b/src/data/compiled_bios/5419.txt new file mode 100644 index 0000000000..1d5c43528e --- /dev/null +++ b/src/data/compiled_bios/5419.txt @@ -0,0 +1 @@ + MILOS NIKOLIC Lecturer in Database Systems School of Informatics, University of Edinburgh milos.nikolic@ed.ac.uk My research interest is in databases and large-scale data management systems. My recent work studies in-database learning, stream processing, incremental computation, and query compilation. I am a member of the Database Group and the Laboratory for Foundations of Computer Science . bio | Google Scholar PROJECTS Incremental Maintenance of Complex Data Analytics maintaining a wide range of analytics using novel factorisation techniques Deep Analytics over Data Streams deep integration of relational and digital signal processing (DSP) DBToaster compilation of database queries into high-performance streaming engines TEACHING Instructor Advanced Databases (Edinburgh, Spring 2019) Databases (Oxford, Michaelmas 2017, w/ Tim Furche ) Object Oriented Programming (Oxford, Michaelmas 2016, w/ Joe Pitt-Francis ) Teaching Assistant Database Systems Implementation (Oxford, Hilary 2018, 2017) Concurrent Programming (Oxford, Hilary 2018) Compilers (Oxford, Hilary 2017) PUBLICATIONS Counting Triangles under Updates in Worst-Case Optimal Time , Ahmet Kara, Hung Ngo, Milos Nikolic, Dan Olteanu, Haozhe Zhang. ICDT 2019 . (Best Paper Award) (extended version arXiv 1804.02780 ) Counting Triangles under Updates (short paper) , Ahmet Kara, Hung Ngo, Milos Nikolic, Dan Olteanu, Haozhe Zhang. Alberto Mendelzon Workshop (AMW) 2018 . Incremental View Maintenance with Triple Lock Factorization Benefits , Milos Nikolic, Dan Olteanu. SIGMOD 2018 . (code) Distributed Incremental View Maintenance , Milos Nikolic. Encyclopedia of Big Data Technologies, Springer, 2018 . Enabling Signal Processing over Data Streams , Milos Nikolic, Badrish Chandramouli, Jonathan Goldstein. SIGMOD 2017 . (slides) Enabling Deep Analytics in Stream Processing Systems , Milos Nikolic, Badrish Chandramouli, Jonathan Goldstein. BICOD 2017 . Efficient Incremental Data Analysis , Milos Nikolic. PhD thesis, 2016 . How to Win a Hot Dog Eating Contest: Distributed Incremental View Maintenance with Batch Updates , Milos Nikolic, Mohammad Dashti, Christoph Koch. SIGMOD 2016 . (slides) LINVIEW: Incremental View Maintenance for Complex Analytical Queries , Milos Nikolic, Mohammed ElSeidy, Christoph Koch. SIGMOD 2014 . (slides) (video) DBToaster: Higher-order Delta Processing for Dynamic, Frequently Fresh Views , Christoph Koch, Yanif Ahmad, Oliver Kennedy, Milos Nikolic, Andres Ntzli, Daniel Lupei, Amir Shaikhha. The VLDB Journal 2014 . (extended version) DBToaster: Higher-order Delta Processing for Dynamic, Frequently Fresh Views , Yanif Ahmad, Oliver Kennedy, Christoph Koch, Milos Nikolic. VLDB 2012 . (slides) Invited to the "Best of VLDB 2012" issue of the VLDB Journal. Entangled transactions , Nitin Gupta, Milos Nikolic, Sudip Roy, Gabriel Bender, Lucja Kot, Johannes Gehrke, Christoph Koch. VLDB 2011 . (slides) STUDENTS Haozhe Zhang (DPhil, Sept 2017 - present, co-advised w/ Dan Olteanu ) Theodore Dickson (MSc, April - Sept 2018) Canberk Koparal (3rd year CS, Oct 2017 - May 2018) Alexandru Valeanu (3rd year CS, Oct 2017 - May 2018, co-advised w/ Dan Olteanu ) Xu Sun (MSc, April - Sept 2017) diff --git a/src/data/compiled_bios/542.txt b/src/data/compiled_bios/542.txt new file mode 100644 index 0000000000..a193babf8a --- /dev/null +++ b/src/data/compiled_bios/542.txt @@ -0,0 +1 @@ +Nathan Srebro ProfessorToyota Technological Institute Professor, Part-TimeDepartment of Computer Science Email: nati@ttic.edu Phone: (773) 834-7493 Office: Toyota Technological Institute Website: http://ttic.uchicago.edu/~nati/ diff --git a/src/data/compiled_bios/5420.txt b/src/data/compiled_bios/5420.txt new file mode 100644 index 0000000000..fd24352eb6 --- /dev/null +++ b/src/data/compiled_bios/5420.txt @@ -0,0 +1 @@ + Michael O'Boyle Professor, FBCS PhD, University of Manchester, 1992 Email: mob at inf dot ed dot ac dot uk Phone: 0131 650 5117 NEW December 2018: 4 PhD Positions Available I am interested in recruiting students in any of the areas covered by my research interest or current projects. I also open minded - if you have a great idea you would like to pursue - get in touch! Director of ARM Research Centre of Excellence EPSRC Established Career Research Fellow Director of EPSRC CDT in Pervasive Parallelism Program Chair PACT 2018 Program Chair CGO 2018 General Chair PLDI 2014 Research Interests The primary research questions I am interested in are: (i) how can compiler technology best exploit the potential of high performance heterogeneous architectures (ii) how can we best design high performance heterogeneous to meet emerging applications. My research interests include: Heterogeneous code discovery and optimisation . I am interested in how we can use diverse techniques including constraint analysis, program synthesis and machine learning to discover code patterns that match heterogeneous hardware and automatically tune them. Deep Neural Network system stack . I currently investigate how to optimise deep learning inference based on real world device constraints. I am interested in a cross-stack approach incorporating Bayesian Optimisation at the model layer and a device specific optimisations at the hardware layer Software Defined Hardware . I currently investigate how to map languages such as Python to flexible hardware (e.g. coarse-grain reconfigurable architectures). I am interested in both how software may be adapted to fit hardware and hardware reshaped for software. Auto-parallelising compilers. I am currently investigating the use of dynamic, probabilistic analysis in conjunction with machine learning to develop a new approach that gives future proof scalable code for multi-cores. GPGPU multi-core platforms . I am interested in how we can use smart compiler analysis and adaptation to exploit the potential of such architectures for compute and graphics workloads. Machine learning based optimisation. I'm interested in how predictive modelling and feature generation can be used to automate the design of compilers Compiler/Architecure co-design space exploration . We are investigating the use of predictive models to predict the best compiler optimisations for any architecture Very High level programming languages. I am interested in how languages such as Matlab, which provide great expressive power may be implemented on multi-cores Current projects Redesigning compilers for heteregeneous hardware in my 5 year EPSRC fellowship Optimising Deep Learning on Embedded devices in the Bonseyes project Software Defined Hardware in the Transmuter project Discovering heterogeneity in code in the Discovery project Computer systems for Real time vision and robotics in the Pamela project I am a member of the Compiler and Architecture Design Group . Steering Committee and Partner of HiPEAC Network of Excellence Papers from 1997 onwards can be found on the CArD publications page. Earlier papers 1992-1996 can be found here References also available from DBLP A short CV Students and PostDocs Philip Ginsbach ARM Centre of Excellence. Heterogeneous code discovery Lewis Crawford ARM Centre of Excellence. Graphics compilation Bruce Collie Program Synthesis for heterogeneous hardware Jack Turner Cross-stack DNN optimisation Valentin Radu Bonseyes Magnus Moron Transmuter Jiawen Sun Transmuter Former Students and PostDocs Jose Cano Reyes Bonsyes. Now lecturer at Glasgow Yuan Wen Pamela. Heterogeneous task scheduling. Now at Trinity College, Dublin Bruno Bodin Pamela. Parallel compilation and computer vision. Now at NUS Singapore Govind Sreekar Shenoy Pamela. Hardware design space exploration and computer vision. Now at Intel Murai Emani . Machine learning based adaptive scheduling. Now at Argonne National Labs Kiran Chandramohan . Compiling for heterogeneous multicores. Now at ARM Chris Margiolas . Runtime systems for heterogeneous platforms. Now at Intel Research Alberto Magni ARM Centre of Excellence. OpenCL compilation. Now at MSR Cambridge Erik Tomusk ARM Centre of Excellence. Design space exploration. Now at CodePlay. Tim Jones Royal Academy of Engineering / EPSRC Research Fellow. Now lecturer at U. Cambridge Christophe Dubach Royal Academy of Engineering / EPSRC Research Fellow . Now reader at U. Edinburgh Hugh Leather Royal Academy of Engineering / EPSRC Research Fellow. Now reader at U.Edinburgh Zheng Wang Now senior lecturer at U. Lancaster John Thomson Now lecturer at University St Andrews. Dominik Grewe Now at Deep Mind London. Bjoern Franke Now Reader at U.Edinburgh. Tom Ashby Now at IMEC. Grigori Fursin Now at dividiti. Prospective PhD Students I am interested in supervising PhD students in any of the above research areas. For further details, please use the contact information at the top of this page diff --git a/src/data/compiled_bios/5421.txt b/src/data/compiled_bios/5421.txt new file mode 100644 index 0000000000..13e43ad5c0 --- /dev/null +++ b/src/data/compiled_bios/5421.txt @@ -0,0 +1 @@ + University Homepage School Homepage School Contacts School Search Arno Onken Position Lecturer in Data Science for Life Sciences Roles Member of Institute for Adaptive and Neural Computation Member of Ethics Panel Personal Tutor of Informatics UG Students Project supervision of Honours Project Project supervision of MSc Dissertation Email Address Office,Telephone IF-2.27A,+44 (0) 131 651 3254 Publications - Edinburgh Research Explorer Home : People Informatics Forum, 10 Crichton Street, Edinburgh, EH8 9AB, Scotland, UK Tel: +44 131 651 5661, Fax: +44 131 651 1426, E-mail: school-office@inf.ed.ac.uk Database generated page, please contact us with any comments or corrections. Logging and Cookies Unless explicitly stated otherwise, all material is copyright The University of Edinburgh diff --git a/src/data/compiled_bios/5422.txt b/src/data/compiled_bios/5422.txt new file mode 100644 index 0000000000..c6b8a81243 --- /dev/null +++ b/src/data/compiled_bios/5422.txt @@ -0,0 +1 @@ + University Homepage School Homepage School Contacts School Search Diego Oyarzun Position Lecturer in Computational Biology Roles Member of Institute for Adaptive and Neural Computation Personal Tutor of Informatics UG Students Project supervision of Honours Project Email Address Office,Telephone IF-2.47A,+44 (0) 131 651 1211 Publications - Edinburgh Research Explorer Home : People Informatics Forum, 10 Crichton Street, Edinburgh, EH8 9AB, Scotland, UK Tel: +44 131 651 5661, Fax: +44 131 651 1426, E-mail: school-office@inf.ed.ac.uk Database generated page, please contact us with any comments or corrections. Logging and Cookies Unless explicitly stated otherwise, all material is copyright The University of Edinburgh diff --git a/src/data/compiled_bios/5423.txt b/src/data/compiled_bios/5423.txt new file mode 100644 index 0000000000..b08284d795 --- /dev/null +++ b/src/data/compiled_bios/5423.txt @@ -0,0 +1 @@ + Helen Pain's Personal Page RESEARCH INTERESTS: My research interests include supporting learning and communication in children with special needs, through adaptive multi-media technology; modelling social intelligence and communication in interactions with pedagogical agents; affective and cognitive modelling of learners; participatory and user-centred design and evaluation of interfaces, and empirical methodology. The central elements of my approach are that it is both tool-based and empirically informed, theoretically motivated and involves stakeholders in the design and evaluation process. A major goal of this work is to develop interactive learning environments and communication tools that engage and support learners in play and exploration. Current Research Projects EChoeS: Exploring e-Learning and Communication Tools for Improving Children's Language Usage in Social Interactions ClickEast Recent Research Projects LeActiveMath Home page Standup : Facilitating language play in non-speaking children through computer supported joke construction . ( Graeme Ritchie , Annalu Waller , Ruli Manurung and Rolf Black ) Teaching - not in 2013 Human Communication 1 Adaptive Learning Environments 1 Publications (to be updated) Research Collaborators (Edinburgh) Sue Fletcher-Watson, Sean Hammond , Alyssa Alcorn, Andrew Manches Research Collaborators elsewhere Kaska Porayska-Pomsta , Judith Good , Wendy Keay-Bright , Annalu Waller , Oliver Lemon, Karen Guldberg , Timothy J Smith , Thusha Rajendran ( EChoeS: Exploring e-Learning and Communication Tools for Improving Children's Language Usage in Social Interactions) PhD students Alyssa Alcorn Aurora Constantin Rachel Menzies (Dundee) Helen Pain Institute for Language, Cognition and Computation (ILCC) Human Communication Research Centre , School of Informatics , University of Edinburgh helen at inf.ed.ac.uk. 10 Crichton Street, Edinburgh EH8 9AB, UK Phone: +44 (0131) 650 8485 diff --git a/src/data/compiled_bios/5424.txt b/src/data/compiled_bios/5424.txt new file mode 100644 index 0000000000..e44f9432e1 --- /dev/null +++ b/src/data/compiled_bios/5424.txt @@ -0,0 +1 @@ + Petros Papapanagiotou Chancellor's Fellow in Digital Technologies Menu About Me Research Projects Activity Students Publications Past Projects Personal Twitter Google Scholar Linkedin Edinburgh Research Explorer About Me Dr Petros Papapanagiotou Chancellor's Fellow in Digital Technologies School of Informatics University of Edinburgh Bayes Centre, Rm 3.09 47 Potterrow Edinburgh EH8 9BT Tel: +44 (0)131 650 2957 Email: pe.p at ed.ac.uk My research focuses on AI for machine-mediated collaboration . In particular, I am working on formal verification, enterprise modelling, workflow analysis, and social machines, and their applications in healthcare and manufacturing . I am interested in applied research on machines that can help people collaborate better , for example by digitizing processes, integrating the latest technologies, allowing better control over their data, and formally establishing trust. I am a member of the Centre of Intelligent Systems and their Applications (CISA) and the Mathematical Reasoning (DReaM) group. I am an entrepreneur at heart, passionate fortranslational research, commercialisation, and innovation. I advocate lean startup techniques and customer/user-centred development in applied research. My main industry-facingproject WorkflowFM provides consultancy and infrastructure for workflow management using formally verified models, in collaboration with the industry and the public sector. Application domains include healthcare (optimizing care pathways and everyday clinical practices in the NHS) and Industry 4.0 (digitizing manufacturing workflows in the ongoing Digiflow project). Short CV 2019-today : Chancellors Fellow in Digital Technologies, School of Informatics , University of Edinburgh , UK 2018-2019 : Researcher Co-Investigator in the Digiflow Project , School of Informatics , University of Edinburgh , UK 2014-2018 : Research Associate in the SOCIAM Project , School of Informatics , University of Edinburgh , UK Project Lead for WorkflowFM. Received extensive training on business development and entrepreneurship, exhibited and pitched at various events (e.g. Demofest 2014 , EIE15 , EIE16 ), and won prizes in 2 competitionsamongother achievements. 2009-2014 : PhD in Formally Verified Process Workflows, School of Informatics , University of Edinburgh , UK Thesis: A Formal Verification Approach to Process Modelling and Composition Supervisor: Jacques Fleuriot 2008-2009 : Private , Research and Informatics Corps, Greek Army, Greece 2006-2007 : MSc in Artificial Intelligence with Distinction, School of Informatics , University of Edinburgh , UK Thesis: On the automation of Inductive Proofs in HOL Light 2001-2006 : Undergraduate degree BSc(Hons) equivalent, Department of Informatics and Telecommunications , University of Athens , Greece Research My research focuses on AI for machine-mediated collaboration . In particular, I research formal workflows as collaboration contracts that specify the involved processes within or across networks and organisations, in a way that is unambiguous and understandable, yet amenable to rigorous analysis and deployment. Combining these with data sources , such as IoT sensors, and AI poses a fantastic opportunity towards a better understanding of every day collaboration and unique insights towards improving efficiency and alleviating administrative burdens. Process Modelling I provide consultation for systematic process modelling of collaborative tasks . I develop diagrammatic, process-based models in close collaboration with the involved stakeholders. I help them understand and formalise their everyday workflows. Formal Verification I use mathematical logic and mechanical theorem proving to formally specify requirements and verify system properties.In particular, I am interested in automated reasoning, theorem proving, embedded logics, and linear logic. Formal verification can be used to provide mathematical guarantees of correctness and enhance trust in modern systems. Workflow Analysis and Deployment A big part of my research is on AI-based methods and tools for analysis and deployment of coordination protocols as workflows, including verification , concurrent enactment , decentralised architectures, and self-evolving workflows . Such technology can helppeople collaborate efficiently, transparently, and with less administrative effort. Internet of Things I am interested in the coordination of IoT-enabled machines and the management and analysis of IoT sensor data . Integrating such data with workflow management systems allows for advanced, contextualized live monitoring with unique operational insights to improve decision support (scheduling, resource allocation, process management, etc). Technology Innovation I investigate cultural, ethical, and resource constraints in data-driven innovation and change management in large and public organisations, including issues of privacy and responsibility . Healthcare Informatics Applications of my research aim to improve everyday practices and the coordination of health and social care teams. I help NHS teams developand optimize models of care in order to deliver safer and more consistentcare across patients. Projects This list is not exhaustive. Feel free to contact me for more detailed, up-to-date information. + Digiflow: Digitizing Industrial Workflow, Monitoring and Optimization + Sociograms: Rapid assembly of Social Machines + Integrated Care Pathways for HIV patients + Logic-based workflows Activity PC Member : HyperAgents 2019 , AAAI 2019 , AAMAS 2018 2019 , AISC 2018 , IJCAR Workshop on Automated Theory eXploration (ATX 2012) Reviewer : MDPI Informatics , Applied Intelligence (Springer) Sub-reviewer : Diagrams 2010-2016, IJCAR 2012, CICM Co-organiser : Health-Informatics in Action (2 cross-School events), University of Edinburgh, 2018-2019 Technical Reviewer : Cancer Innovation Challenge 2018 Workshop Chair : 10th Conference on Intelligent Computer Mathematics ( CICM 2017 ) Co-organizer : IJCAR Workshop on Automated Theory eXploration (ATX 2012) Co-organizer : 9th International Workshop on Automated Deduction in Geometry (ADG 2012) Student representative : CISA 2011-2013 Panelist : Artificial Intelligence in Healthcare The State of the Art and Future , Data Science in Health Perspectives from Edinburgh and Singapore event, Singapore 2018 [ Twitter ] Invited pitch : WorkflowFM , Digital Health Conference, Digital Health Institute (DHI), 2015 Invited presentation: Workflow technologies for care pathways, Scottish Intercollegiate Guidelines Network (SIGN), NHS Scotland, 2014 Invited Guest Lecture: Inductive Reasoning, University of Jakarta, Indonesia, 2011 Invited talk: Formal Verification , University of Athens, Greece, 2009 Invited talk: Automated Reasoning & Planning , University of Athens, Greece, 2008 Students These are student projects that I have supervised or co-supervised. Nigel Hussain MSc student, 2018 Project title: Business Process Modelling of Care Pathways for HIV Patients 2nd supervisor Yaqing Jiang PhD student, 2014-today Project title: Machine learning for interactive theorem proving 2nd supervisor Eirini Papakosta MSc student, 2017 Project title: An Interactive, Web-based Platform for Pulmonary Rehabilitation 2nd supervisor Lie (Jessie) Ma MSc student, 2017 Project title: An Interactive, Web-based Platform for Pulmonary Rehabilitation 2nd supervisor Alisa Dewanti MSc student, 2016 Thesis title: Developing workflow-based guidelines for burns care in Scotland 1 st supervisor Vanessa Hanschke MSc student, 2016 Thesis title: A social machine for the Heart Manual Programme 2 nd supervisor Arjun Arunachalam MSc student, 2015 Thesis title: A RESTful intermediate web service which provides concurrency and security for the WorkflowFM composer 1 st supervisor Marcus Sanatan 4 th year student, 2014 Thesis title: Diagrammatic web-based Interface for process composition 2 nd supervisor https://msanatan.com/ Ozgr Osman 4 th year student 2014 Thesis title: Intelligent theorem recommendations for mechanical theorem proving 2 nd supervisor Publications Links [ Edinburgh Research Explorer ]* [ Google Scholar ] [ DBLP ] Refereed Journal Publications Hazard Prevention in Mission Plans for Aerial Vehicles Based on Soft Institutions [ link ] Flavio Correa da Silva, Paul Chung, Marcelo Zuffo, Petros Papapanagiotou, Dave Robertson, Wamberto Vasconcelos Journal of Civil Aircraft Design and Research 2017 A workflow-driven, formal methods approach to the generation of structured checklists for intra-hospital patient transfers [ link ] Areti Manataki, Jacques Fleuriot, Petros Papapanagiotou IEEE Journal of Biomedical and Health Informatics 2016 Healthcare Data Safe Havens: Towards a logical architecture and experiment automation [ link ] Dave Robertson, Fausto Giunchiglia, Stephen Pavis, Ettore Turra, Gabor Bella, Elizabeth Elliot, Andrew Morris, Malcolm Atkinson, Gordon McAllister, Areti Manataki, Petros Papapanagiotou, Mark Parsons The Journal of Engineering 2016 Softening electronic institutions to support natural interaction [ link ] Dave Murray-Rust, Petros Papapanagiotou, Dave Robertson Human Computation 2016 A collaboration model for community-based software development with social machines [ link ] Dave Murray-Rust, Ognjen Scekic, Petros Papapanagiotou, Hong-linh Truong, Dave Robertson, Schahram Dustdar EAI Endorsed Transactions on Collaborative Computing . 2015 Formal verification of collaboration patterns in healthcare [ link ] Petros Papapanagiotou, Jacques Fleuriot Behaviour and Information Technology . 2014 Matching relational schemata to Semantic Web ontologies . [ link ] Polina Katsiouli, Petros Papapanagiotou, Vassilios Tsetsos, Christos Anagnostopoulos, Stathes Hadjiefthymiades Handbook of Research on Innovations in Database Technologies and Applications: Current and Future Trends . 2009 Refereed Conference & Workshop Publications A Pragmatic, Scalable Approach to Correct-by-construction Process Composition Using Classical Linear Logic Inference [to appear] Petros Papapanagiotou, Jacques Fleuriot 128th International Symposium on Logic-Based Program Synthesis and Transformation (LOPSTR) Post-proceedings. 2018 Correct-by-construction Process Composition Using Classical Linear Logic Inference [ link ] Petros Papapanagiotou, Jacques Fleuriot 128th International Symposium on Logic-Based Program Synthesis and Transformation (LOPSTR) Pre-proceedings. 2018 Machine learning for inductive theorem proving [ link ] [ pdf ] Yaqing Jiang, Petros Papapanagiotou, Jacques Fleuriot 13th International Conference on Artificial Intelligence and Symbolic Computation (AISC). 2018 Social Machines For All [ link ] [ pdf ] Petros Papapanagiotou, Alan Davoust, Dave Murray-Rust, Areti Manataki, Max Van Kleek, Nigel Shadbolt, Dave Robertson 17th Conference on Autonomous Agents and MultiAgent Systems (AAMAS) 2018 Towards Executable Representations of Social Machines [ link ] Dave Murray-Rust, Alan Davoust, Petros Papapanagiotou, Areti Manataki, Max Van Kleek, Nigel Shadbolt, Dave Robertson Diagrammatic Representation and Inference: 10th International Conference, Diagrams 2018 WorkflowFM: A logic-based framework for formal process specification and composition [ link ] Petros Papapanagiotou, Jacques Fleuriot 26th Conference on Automated Deduction (CADE) 2017 Hazard identification for coordinated UAVs based on soft institutions [ link ] Flavio Correa Da Silva, Paul Chung, Marcello Zuffo, Petros Papapanagiotou, Dave Robertson, Wamberto Vasconcelos International Workshop on Coordination, Organizations, Institutions and Norms in Agent Systems (COIN) 2017 Development of workflow-based guidelines for the care of burns in Scotland [ link ] Alisa Dewanti, Petros Papapanagiotou, Charlotte Gilhooly, Jacques Fleuriot, Areti Manataki, Laura Moss 9th International Conference on e-Health. 2017 A step towards the standardisation of HIV care practices [ link ] Cristina Alexandru, Daniel Clutterbuck, Petros Papapanagiotou, Jacques Fleuriot, Areti Manataki Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies Volume 5: HEALTHINF . 2017 Designing a social machine for the Heart Manual Service [ link ] Vanessa Hanschke, Areti Manataki, Cristina Alexandru, Petros Papapanagiotou, Carolyn Deighan, Louise Taylor, Dave Robertson Proceedings of the 10th International Joint Conference on Biome dical Engineering Systems and Technologies Volume 5: HEALTHINF . 2017 Workflow modelling of burns care protocols Petros Papapanagiotou, Alisa Dewanti, Areti Manataki, Jacques Fleuriot, Charlotte Gilhooly, Laura Moss The 26th SICS Annual Scientific Meeting, Scottish Intensive Care Society 2016 Tracheostomy transfers: A case study in the application of formal methods to intra-hospital patient transfers [ link ] Areti Manataki, Jacques Fleuriot, Petros Papapanagiotou IEEE 27th International Symposium on Computer-Based Medical Systems (CBMS) 2014 Modelling and implementation of correct by construction healthcare workflows [ link ] Petros Papapanagiotou, Jacques Fleuriot Business Process Management Workshops: BPM 2014 International Workshops. Lecture Notes in Business Information Processing. 2014 Rigorous development of computer based Integrated Care Pathways for HIV patients [ link ] Petros Papapanagiotou, Jacques Fleuriot, Areti Manataki, Andrew Winter, Rak Nandwani, Daniel Clutterbuck, David Wilks Proceedings of Health Informatics Scotland Conference 2014 Rigorous process-based modelling of patterns for collaborative work in healthcare teams [ link ] Petros Papapanagiotou, Jacques Fleuriot, Adela Grando 25th International Symposium on Computer-Based Medical Systems (CBMS) 2012 Diagrammatically-driven formal verification of Web-Services composition [ link ] Petros Papapanagiotou, Jacques Fleuriot, Sean Wilson Diagrammatic Representation and Inference: 7th International Conference, Diagrams 2012 Formal verification of Web Services composition using linear logic and the pi-calculus [ link ] Petros Papapanagiotou, Jacques Fleuriot IEEE Ninth European Conference on Web Services 2011 A theorem proving framework for the formal verification of Web Services Composition [ link ] Petros Papapanagiotou, Jacques Fleuriot 7th International Workshop on Automated Specification and Verification of Web Systems. Electronic Proceedings in Theoretical Computer Science 2011 An Isabelle-like procedural mode for HOL Light [ link ] Petros Papapanagiotou, Jacques Fleuriot Logic for Programming, Artificial Intelligence, and Reasoning: 17th International Conference, LPAR-17 2010 RONTO: Relational to ontology schema matching [ link ] Petros Papapanagiotou, Polina Katsiouli, VassiliosTsetsos, Christos Anagnostopoulos, Stathes Hadjiefthymiades AIS SIGSEMIS BULLETIN 2006 * Edinburgh Research Explorer contains PDF links to most of these papers. Past Projects These are projects that I have previously been involved in and are now considered to be concluded. Some of these are still being maintained or used in further research. This list is not exhaustive.Feel free to contact me for more detailed, up-to-date information. + An Interactive, Web-based Training Platform for Pulmonary Rehabilitation + Patterns for collaborative work in healthcare + Developing workflow-based guidelines for burns care in Scotland + Healthcare Data Safe Havens + Lightweight Social Calculus + Isabelle Light + Automation of inductive proofs in HOL Light Personal I was born in Athens, Greece which I like to visit as often as possible. I enjoy watching a number of TV series, as well as e-sports . I play casual basketball regularly (contact me if interested to join). 2019 Petros Papapanagiotou WordPress Theme: AccessPress Parallax diff --git a/src/data/compiled_bios/5425.txt b/src/data/compiled_bios/5425.txt new file mode 100644 index 0000000000..d627b7f419 --- /dev/null +++ b/src/data/compiled_bios/5425.txt @@ -0,0 +1 @@ + I am a Lecturer (Assistant Professor) and Chancellor's Fellow in the School of Informatics at the University of Edinburgh and a member of the Institute for Computing Systems Architecture (ICSA) . I lead the recently established Informatics Internet of Things research programme. I am also affiliated to the EPSRC Centres for Doctoral Training in Pervasive Parallelism and Data Science , and the Security & Privacy group . Previously, I was a research fellow at the Hamilton Institute of the National University of Ireland, Maynooth . Between 20072011 I was a research assistant at IMDEA Networks (Madrid Institute for Advanced Studies in Networks). I held visiting research positions at the University of Brescia (2017, 2015), Northeastern University (2016), Technical University Darmstadt (2016), and Rice University (2010). I hold a Ph.D. and an M.Sc. in Telematics Engineering from University Carlos III of Madrid , and a Dipl.Eng. degree from the Technical University of Cluj-Napoca , Romania. My research seeks to bridge the gap between fundamental mathematical models and real-world applications of computer networks. I focus on problems related to performance optimisation in wireless and mobile networks, applied machine learning, mobile traffic analytics, security and privacy, prototyping and test beds. My CV is available here . News Ph.D. positions open for students with solid background in computer networks, security, and machine learning. Interested candidates should send their CV, research statement, transcript of records, and contact details of two referees to ppatras [at] inf.ed.ac.uk . 13 April, 2019 I will be participating in a panel discussion with the topic "Health Trackers: Help or Hindrance?", at the 2019 Edinburgh Science Festival. 6 March, 2019 I will be speaking at the workshop "Towards a New Era - AI in 5G" organised by China Academy of Information and Communications Technology (CAICT) in collaboration with ITU in Shenzhen. 22 February, 2019 Speaking at Loughborough University about our work on optimising the utility of multi-service backhauls using deep learning. 21 February, 2019 Giving an invited seminar about deep learning driven mobile traffic analysis at the University of Exeter 12 December, 2018 Talking about security and privacy vulnerabilities we found in the Fitbit ecosystem, at the University of Glasgow. 6 December, 2018 Rui Li presented our work with C. Zhang, R. Stanica, and F. Valois of INRIA/INSA Lyon about learning driven mobility control of airborne base stations at the Workshop on AI in Networks (WAIN), co-located with IFIP Performance. 28 November, 2018 My student Rui Li received the Best Student Paper award at MLN 2018 for our work on maximising the utility of virtualised backhauls using deep learning . Conferences and workshops I am currently involved with: IEEE WCNC 2019 - IEEE Wireless Communications and Networking Conference (15-18 April, 2019, Marrakech, Morocco). Wireless Days 2019 (24-26 April, 2019, Manchester, UK). DCOSS 2019 - The International Conference on Distributed Computing in Sensor Systems (29-31 May, 2019, Santorini, Greece). WoWMoM 2019 - The IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (9-12 June, 2019, Washington DC, USA). IFIP WWIC 2019 - The 17th International Conference on Wired/Wireless Internet Communications (17-19 June, 2019, Bologna, Italy). TMA 2019 - The Network Traffic Measurement and Analysis Conference (19-21 June, 2019, Paris, France). Press coverage Our research on the vulnerabilities of fitness trackers featured in The Times, The Telegraph, International Business Times, Huffington Post, New York Post, The Scotsman, STV News, Yorkshire Post, The Northern Echo, Channel News, Market Watch, SC Magazine, The Inquirer, CORDIS News, Homeland Security News Wire, China Press, Xinhua News, China Industrial Control Network, Shenzhen News Network, Photoelectric News Network, Hong Kong News, Indo-Asian News Service, The Economic Times, The Hindu, Businessworld India, The New Indian Express, The Pioneer, domain-b.com, HackRead, Techworm, V3, texnologia.net, Gears of Biz, Infosecurity Magazine, Third Age, Phys.org, ECN Mag, Digtial Journal, Gadgets & Wearables, DIGIT, EurekAlert!. The BBC Radio 4 Extra's Newsjack show also mentioned us in their satire on fitness tracking (season 17, episode 2). Our survey of deep learning in mobile and wireless networks has been picked up by Chinese media and was covered in The Heart of the Machine, Trencent, NetEase, SINA, and Sohu.com. Copyright Notice: This material is presented to ensure timely dissemination of scholarly and technical work. Permission to make digital or hard copies of part or all of this work for personal or classroom use is permitted provided that copies are not made or distributed for profit or commercial advantage. Copyright and all rights therein are retained by authors or by other copyright holders. The documents may not be reposted without the explicit permission of the copyright holder. Drafts C. Zhang, P. Patras, H. Haddadi, "Deep Learning in Mobile and Wireless Networking: A Survey", 2018. [ arXiv ] R. Li, P. Patras, "Max-Min Fair Millimetre-Wave Backhauling", 2017. [ arXiv ] Journal Papers A. Garcia-Saavedra, P. Patras, V. Valls, X. Costa-Perez, D. J. Leith "ORLA/OLAA: Orthogonal Coexistence of LAA and WiFi in Unlicensed Spectrum", IEEE Transactions on Networking, vol. 26, no. 6, Dec. 2018. DOI: 10.1109/TNET.2018.2876590 . [ PDF ] F. Gringoli, P. Patras, C. Donato, P. Serrano, Y. Grunenberger, "Performance Assessment of Open Software Platforms for 5G Prototyping" to appear in IEEE Wireless Communications, 2018. [ preprint ] N. Facchi, F. Gringoli, P. Patras, "Maximising the Utility of Enterprise Millimetre-Wave Networks", Elsevier Computer Communications, vol. 119, pp. 2942, Apr. 2018, DOI: 0.1016/j.comcom.2018.01.011 . [ PDF ] [ BibTeX ] J. Classen, D. Wegemer, P. Patras, T. Spink, and M. Hollick, " Anatomy of a Vulnerable Fitness Tracking System: Dissecting the Fitbit Cloud, App, and Firmware", in Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT) vol. 2, no. 1, Mar. 2018, DOI: 10.1145/3191737 . [ PDF ] [ BibTeX ] To be presented at UbiComp 2018. N. Facchi, F. Gringoli, D. Malone, P. Patras, "Imola: A Decentralised Learning-driven Protocol for Multi-hop White-Fi", Elsevier Computer Communications, vol. 105, pp. 157168, June 2017, DOI: 10.1016/j.comcom.2016.12.015 . [ PDF ] [ BibTeX ] P. Patras, H. Feghhi, D. Malone, D. Leith, "Policing 802.11 MAC Misbehaviours", IEEE Transactions on Mobile Computing, vol. 15, no. 7, pp. 17281742, July 2016, DOI: 10.1109/TMC.2015.2478436 . [ PDF ] [ BibTeX ] P. Patras, A. Garcia-Saavedra, D. Malone, D. Leith, "Rigorous and Practical Proportional-fair Allocation for Multi-rate Wi-Fi", Elsevier Ad Hoc Networks, vol. 36, Part 1, pp. 2134, Jan. 2016, DOI: 10.1016/j.adhoc.2015.06.002 . [ PDF ] [ BibTeX ] P. Patras, H. Qi, D. Malone, "Mitigating Collisions through Power-Hopping to Improve 802.11 Performance", Elsevier Pervasive and Mobile Computing, vol. 11, pp.4155, Apr. 2014, DOI: 10.1016/j.pmcj.2013.03.005 . [ PDF ] [ BibTeX ] P. Serrano, P. Patras, A. Mannocci, V. Mancuso, A. Banchs, "Control Theoretic Optimization of 802.11 WLANs: Implementation and Experimental Evaluation", Computer Networks, vol. 57, no. 1, pp. 258272, Jan. 2013, DOI: 10.1016/j.comnet.2012.09.010 . [ PDF ] [ BibTeX ] P. Serrano, A. de la Oliva, P. Patras, V. Mancuso, A. Banchs, "Greening Wireless Communications: Status and Future Directions", Elsevier Computer Communications, vol. 35, no. 14, pp. 16511661, Aug. 2012, DOI: 10.1016/j.comcom.2012.06.011 . [ PDF ] [ BibTeX ] A. Banchs, P. Serrano, P. Patras, M. Natkaniec, "Providing Throughput and Fairness Guarantees in Virtualized WLANs through Control Theory", ACM/Springer Mobile Networks and Applications (MONET), vol. 17, no. 4, pp. 435446, Aug. 2012, DOI: 10.1007/s11036-012-0382-2 . [ PDF ] [ BibTeX ] P. Patras, A. Banchs, P. Serrano, "A Control Theoretic Scheme for Efficient Video Transmission over IEEE 802.11e EDCA WLANs", ACM Transactions on Multimedia Computing, Communications and Applications (TOMM), vol. 8, no. 3, pp. 29:129:23, July 2012, DOI: 10.1145/2240136.2240142 . [ PDF ] [ BibTeX ] P. Patras, A. Banchs, P. Serrano, A. Azcorra, "A Control Theoretic Approach to Distributed Optimal Configuration of 802.11 WLANs", IEEE Transactions on Mobile Computing, vol. 10, no. 6, pp. 897910, June 2011, DOI: 10.1109/TMC.2010.231 . [ PDF ] [ BibTeX ] P. Serrano, A. Banchs, P. Patras, A. Azcorra, "Optimal Configuration of 802.11e EDCA for Real-Time and Data Traffic", IEEE Transactions on Vehicular Technology, vol. 59, no. 5, pp. 25112528, June 2010, DOI: 10.1109/TVT.2010.2043274 . [ PDF ] [ BibTeX ] P. Patras, A. Banchs, P. Serrano, "A Control Theoretic Approach for Throughput Optimization in IEEE 802.11e EDCA WLANs", ACM/Springer Mobile Networks and Applications (MONET), vol. 14, no. 6, pp. 697708, Dec. 2009, DOI: 10.1007/s11036-008-0121-x . [ PDF ] [ BibTeX ] Refereed Conference Papers R. Li, C. Zhang, R. Stanica, F. Valois, P. Patras, "Learning Driven Mobility Control of Airborne Base Stations in Emergency Networks", in Proceedings Workshop on AI in Networks (WAIN), co-located with IFIP Performance, Toulouse, France, December 2018. [ PDF ] R. Li, C. Zhang, P. Cao, P. Patras, J. S. Thompson, "DELMU: A Deep Learning Approach to Maximising the Utility of Virtualised Millimetre-Wave Backhauls", in Proceedings International Conference on Machine Learning for Networking (MLN), Paris, France, November 2018. [ PDF ] C. Zhang, P. Patras, "Long-Term Mobile Traffic Forecasting Using Deep Spatio-Temporal Neural Networks", in Proceedings of the ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc), Los Angeles, USA, June 2018. DOI: 10.1145/3209582.3209606 . [ PDF ] [ BibTeX ] F. Gringoli, N. Ali, F. Guerrini, P. Patras, "A Flexible Framework for Debugging IoT Wireless Applications", in Proceedings of the IEEE International Workshop on Metrology for Industry 4.0 & IoT, Brescia, Italy, Apr. 2018. [ PDF ] [ BibTeX ] C. Zhang, X. Ouyang, P. Patras, "ZipNet-GAN: Inferring Fine-grained Mobile Traffic Patterns via a Generative Adversarial Neural Network", in Proceeding of the 13th International Conference on Emerging Networking Experiments and Technologies (ACM CoNEXT), Seoul/Incheon, South Korea, Dec. 2017. DOI: 3143361.3143393 . [ PDF ] [ BibTeX ] H. Fereidooni, J. Classen, T. Spink, P. Patras, M. Miettinen, A.-R. Sadeghi, M. Hollick, M. Conti, "Breaking Fitness Records without Moving: Reverse Engineering and Spoofing Fitbit", in Proceedings of the 20 th International Symposium on Research in Attacks, Intrusions and Defenses (RAID), Atlanta, GA, USA, Sept. 2017. DOI: 10.1145/2980115.2980133 . [ PDF ] [ BibTeX ] R. Li, P. Patras, "WiHaul : Max-Min Fair Wireless Backhauling over Multi-Hop Millimetre-Wave Links", In Proceedings of the 3 rd ACM Workshop on Hot Topics in Wireless (HotWireless), New York City, NY, USA, Oct. 2016, DOI: 10.1145/2980115.2980133 . [ PDF ] [ BibTeX ] C. Capretti, F. Gringoli, N. Facchi, P. Patras, "LTE/Wi-Fi Co-existence under Scrutiny: An Empirical Study", In Proceedings of the ACM 10 th International Workshop on Wireless Network Testbeds, Experimental evaluation & CHaracterization (WiNTECH), New York City, NY, USA, Oct. 2016, DOI: 10.1145/2980159.2980164 . [ PDF ] [ BibTeX ] G.H. Sim, R. Li, C. Cano, D. Malone, P. Patras, J. Widmer, "Learning from Experience: Efficient Decentralized Scheduling for 60GHz Mesh Networks", In Proceedings of IEEE 17 th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), Coimbra, Portugal, June 2016, DOI: 10.1109/WoWMoM.2016.7523520 . [ PDF ] [ BibTeX ] N. Facchi, F. Gringoli, D. Malone, P. Patras, "When Is the Right Time to Transmit in Multi-hop White-Fi?" (demo), In Proceedings of IEEE 17 th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), Coimbra, Portugal, June 2016, DOI: 10.1109/WoWMoM.2016.7523539 . [ extended abstract ] [ BibTeX ] D. Malone, H. Qi, D. Botvich, P. Patras, "802.11 Buffers: When Bigger is Not Better?", In Proceedings of International Workshop on Wireless Access Flexibility (WiFlex), Springer Lecture Notes in Computer Science (LNCS), Kaliningrad, Russia, Sept. 2013, DOI: 10.1007/978-3-642-39805-6_4 . [ PDF ] [ BibTeX ] H. Feghhi, P. Patras, D. Malone, "Practical Node Policing in 802.11 WLANs" (demo), In Proceedings of IEEE 14 th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), Madrid, Spain, June 2013, DOI: 10.1109/WoWMoM.2013.6583367 . [ extended abstract ] [ BibTeX ] A. Giannoulis, P. Patras, E. Knightly, "Mobile Access of Wide-Spectrum Networks: Design, Deployment and Experimental Evaluation", In Proceedings of IEEE 32 nd International Conference on Computer Communications (INFOCOM), Turin, Italy, Apr. 2013, DOI: 10.1109/INFCOM.2013.6566968 . [ PDF ] [ technical report ] [ BibTeX ] P. Salvador, S. Paris, C. Pisa, P. Patras, Y. Grunenberger, X. Perez-Costa, J. Gozdecki, "A Modular, Flexible and Virtualizable Framework for IEEE 802.11", In Proceedings of Future Network & Mobile Summit 2012, Berlin, Germany, July 2012. [ PDF ] [ BibTeX ] P. Patras, H. Qi, D. Malone, "Exploiting the Capture Effect to Improve WLAN Throughput", In Proceedings of IEEE 13 th International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM), San Francisco, USA, June 2012, DOI: 10.1109/WoWMoM.2012.6263697 . [ PDF ] [ BibTeX ] J. Lessmann, A. de la Oliva, C. Sengul, A. Garcia, M. Kretschmer, S. Murphy, P. Patras, "On the Scalability of Carrier-grade Mesh Network Architectures", In Proceedings of Future Networks & Mobile Summit, Warsaw, Poland, June 2011. [ PDF ] [ BibTeX ] P. Serrano, P. Patras, X. Perez Costa, B. Gloss, D. Chieng, "A MAC Layer Abstraction for Heterogeneous Carrier Grade Mesh Networks", In Proceedings of ICT Mobile Summit 2009, Santander, Spain, June 2009. [ PDF ] [ BibTeX ] P. Patras, A. Banchs, P. Serrano, "A Control Theoretic Framework for Performance Optimization of IEEE 802.11 Networks", In Proceedings of IEEE 28 th International Conference on Computer Communications (INFOCOM), Rio de Janeiro, Brazil, Apr. 2009, DOI: 10.1109/INFCOMW.2009.5072094 . [ extended abstract ] [ poster ] [ BibTeX ] A. Bikfalvi, P. Patras, C.M. Vancea, V. Dobrota, "The Management Infrastructure of a Network Measurement System for QoS Parameters", In Proceedings of 14 th International Conference on Software, Telecommunication and Computer Networks (SoftCOM), Split-Dubrovnik, Croatia, Oct. 2006, DOI: 10.1109/SOFTCOM.2006.329752 . [ PDF ] [ BibTeX ] Bibliometrics and bibliographic meta-data for my publications are available on Google Scholar , dblp , and ResearchGate. Current Projects Wrasse: Riding Millimetre Radio Waves at Gigabit-per-second Speeds This project seeks to explore the potential of wireless networks operating in the 60GHz frequency-band to achieve Gb/s data-rates. The problems we are currently investigating include 802.11ad performance analysis, resource allocation, and small cell backhauling. The research is partially funded by the University of Edinburgh Development Trust through an Innovative Initiative Grant. Past Projects FLAVIA: FLexible Architecture for Virtualizable future wireless Internet Access (20112013) FLAVIA is a successfully completed collaborative research project funded by the European Commission through a FP7-2009-ICT-5 grant. The team focused on exposing flexible programmable interfaces for commercial off-the-shelf wireless devices, that enable service customisation and performance optimisation through software-based exploitation of low-level operations and control primitives. CARMEN: CARrier grade MEsh Networks (20082010) CARMEN is a successfully completed collaborative research project funded by the European Commission through a FP7-2008-ICT-1 grant. The objective was to designed a heterogeneous wireless mesh network architecture supporting carrier grade triple-play services for mobile/fixed network operators. DAIDALOS II: Designing Advanced network Interfaces for the Delivery and Administration of Location independent, Optimised personal Services (20072008) DAIDALOS II is a successfully completed integrated project funded by the European Commission through a FP6-2004-IST-4 grant. The project designed, developed and validateed a beyond 3 rd generation mobile communications framework, supporting secure, personalised and pervasive services built on heterogeneous technology. Postgraduate Students Rui Li (Ph.D.), The University of Edinburgh, 2018 (expected). Chaoyun Zhang (Ph.D.), The University of Edinburgh, 2020 (expected). Sivaprakash Senapathi (M.Res.), The University of Edinburgh (co-supervised with Mahesh Marina ), 2015. (now at J.P. Morgan) Interns Marco Cominelli, University of Brescia, JulyDec. 2018 Adela Rotar, University of Edinburgh, MayJuly 2018. Haoyu Liu, University of Edinburgh, JuneSept. 2018. Ayush Bhardwaj, IIT Roorkee, JuneAug. 2018. Daniel Licciardello, University of Catania, Mar. 2016May 2016. Chiara Capretti, University of Brescia, Sept. 2015Dec. 2015. Nicolo Facchi, University of Brescia, Sept. 2014Feb. 2015. If you are interested in undertaking a PhD under my supervision, you may find this advice helpful. Current Courses Spring 2019, Spring 2018 INFR11146: Internet of Things Systems, Security and the Cloud (IoTSSC) Past Courses Fall 2016, Fall 2015, Fall 2014 INFR09044/INFR09040: Computer Science Large Practical Fall 2015 INFR09041: Undergraduate Research Practical Spring 2013 EE402: Computer & Communications Networks (National University of Ireland Maynooth) Spring 2008, Spring 2009 Network Infrastructure (University Carlos III of Madrid) Organising Committees The International Conference on Distributed Computing in Sensor Systems ( DCOSS 2019 ). Publicity co-chair, IEEE Wireless Communications and Networking Conference ( WCNC 2018 ). Steering Committee member, ACM International Workshop on Wireless Network Testbeds, Experimental Evaluation & Characterization (WiNTECH), 2017present. Reproduciblity Committee member, ACM Conference on Security and Privacy in Wireless and Mobile Networks ( WiSec 2018 , WiSec 2017 ). Technical Programme Committee co-chair, The 10 th ACM International Workshop on Wireless Network Testbeds, Experimental Evaluation & Characterization ( WiNTECH 2016 ), co-located with ACM MobiCom. Demos/Posters chair, The 9 th ACM International Workshop on Wireless Network Testbeds, Experimental Evaluation & Characterization ( WiNTECH 2014 ), co-located with ACM MobiCom. Demos/Posters chair, The 11 th ACM International Symposium on Mobility Management and Wireless Access ( MobiWAC 2013 ), co-located with ACM MSWiM. Publication co-chair, The 13 th IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks ( WoWMoM 2012 ). Scientific secretary, The 16 th European Wireless Conference ( EW 2010 ). Technical Programme Committees The Network Traffic Measurement and Analysis Conference ( TMA 2019 ). The IEEE Wireless Communications and Networking Conference ( IEEE WCNC 2019 ). The IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks ( WoWMoM 2019 , WoWMoM 2018 , WoWMoM 2015 Demos , WoWMoM 2013, WoWMom 2012 ). The IEEE Consumer Communications & Networking Conference ( CCNC 2019 ). The IEEE International Conference on Mobile Ad-hoc and Sensor Systems ( MASS 2018 ). The Annual IEEE International Symposium on Personal, Indoor and Mobile Radio Communications ( PIMRC 2018 , PIMRC 2013 ). The International Conference on Computer Communications and Networks ( ICCCN 2018 ). The International Conference on Wired/Wireless Internet Communications ( IFIP WWIC 2019 , IFIP WWIC 2018 ). The Annual International Conference on Distributed Computing in Sensor Systems ( DCOSS 2018 ). The EAI International Conference on Cognitive Radio Oriented Wireless Networks ( CROWNCOM 2018 ). The 11 th ACM International Workshop on Wireless Network Testbeds, Experimental evaluation & CHaracterization ( WiNTECH 2017 ). The IEEE Global Communications Conference ( GLOBECOM 2018 , GLOBECOM 2017 ). The IEEE/IFIP Wireless Days Conference ( WD 2019 WD 2014 , WD 2013, WD 2012 ). The IEEE Vehicular Technology Conference ( VTC 2017-Spring , VTC 2016-Fall , VTC 2016-Spring , VTC 2015-Fall , VTC 2015-Spring , VTC 2013-Fall , VTC 2013-Spring ). The IEEE International Workshop on Software Defined 5G Networks ( Soft5G 2015 , Soft5G 2016 ), co-located with IEEE SoftNet. The IFIP International Conferences on Networking ( Networking 2014 , Networking 2012 ). The ACM International Symposium on Mobility Management and Wireless Access ( MobiWAC 2014 , MobiWAC 2013 ). The Scottish Informatics & Computer Science Alliance PhD Conference ( SICSA 2014 ). The International Workshop on Wireless Access Flexibility ( WiFlex 2013 ). The International Conference on Wireless Information Networks and Systems ( WINSYS 2012 ). The 5 th IEEE International Workshop on Enabling Technologies and Standards for Wireless Mesh Networking ( MeshTech 2011 ), co-located with IEEE MASS. Editorial Boards Associate Editor, IEEE Communications Letters (2017present). Technical Committee member, Elsevier Computer Communications journal (2014present). Reviewer IEEE journals: IEEE/ACM Transactions on Networking, IEEE Transactions on Mobile Computing, IEEE Journal on Selected Areas in Communications, IEEE Transactions on Vehicular Technology, IEEE Transactions on Wireless Communications, IEEE Transactions on Communications, IEEE Transactions on Network and Service Management, IEEE/OSA Journal of Lightwave Technology, IEEE Communications Magazine, IEEE Communications Letters, IEEE Wireless Communications Letters, IEEE Signal Processing Letters. ACM journals: ACM Transactions on Privacy and Security, Communications of the ACM. PloS journals: PloS ONE. Elsevier journals: Computer Networks, Ad-hoc Networks, Pervasive and Mobile Computing. Springer journals: ACM/Springer Mobile Networks and Applications (MONET), Wireless Networks, Telecommunications Systems, Wireless Personal Communications, EURASIP Journal on Wireless Communications and Networking. Other: MDPI Sensors, Journal of Communications and Networks, Ad Hoc & Sensor Wireless Networks, International Journal of Ad Hoc and Ubiquitous Computing, Hindawi Mobile Information Systems. Other Things Thoughts on science and technology I share on my blog . Topics I follow and questions I answer(ed) on Quora . Code I authored (a while ago) available on GitHub . Random things I (re) tweet . My photos on Flickr and 500px . Music I listen to. If you are into chess, you can challenge me on gameknot. Paul Patras Lecturer (Assistant Professor) and Chancellor's Fellow School of Informatics The University of Edinburgh http://orcid.org/0000-0002-1037-0158 About Publications Research Students Teaching Scholarly Activity Links Address: The University of Edinburgh Room 1.22A, Informatics Forum 10 Crichton Street Edinburgh, EH8 9AB, UK Email: ppatras [at] inf.ed.ac.uk Phone: +44 (0) 131 650 4408 Contact: Address Email Phone diff --git a/src/data/compiled_bios/5426.txt b/src/data/compiled_bios/5426.txt new file mode 100644 index 0000000000..21a957b731 --- /dev/null +++ b/src/data/compiled_bios/5426.txt @@ -0,0 +1 @@ + University Homepage School Homepage School Contacts School Search Andreas Pieris Position Lecturer in Databases Roles Member of Laboratory for Foundations of Computer Science PGT Admissions Officer of Informatics MSc Students Personal Tutor of Informatics MSc Students Project supervision of Honours Project Project supervision of MSc Dissertation Email Address Office,Telephone IF-5.20A,+44 (0) 131 651 5606 Publications - Edinburgh Research Explorer Home : People Informatics Forum, 10 Crichton Street, Edinburgh, EH8 9AB, Scotland, UK Tel: +44 131 651 5661, Fax: +44 131 651 1426, E-mail: school-office@inf.ed.ac.uk Database generated page, please contact us with any comments or corrections. Logging and Cookies Unless explicitly stated otherwise, all material is copyright The University of Edinburgh diff --git a/src/data/compiled_bios/5427.txt b/src/data/compiled_bios/5427.txt new file mode 100644 index 0000000000..5129df9cce --- /dev/null +++ b/src/data/compiled_bios/5427.txt @@ -0,0 +1 @@ + Professor Gordon Plotkin Laboratory for Foundations of Computer Science School of Informatics Informatics Forum 10 Crichton Street. Edinburgh EH8 9AB, UK gdp AT inf DOT ed DOT ac DOT uk Office: IF 4.32 Phone: +44 131 650 5158. Some Publications diff --git a/src/data/compiled_bios/5428.txt b/src/data/compiled_bios/5428.txt new file mode 100644 index 0000000000..eb3501a6fb --- /dev/null +++ b/src/data/compiled_bios/5428.txt @@ -0,0 +1 @@ + Ajitha Rajan ajitha.rajan AT gmail.com Home CV Publications About Me I am a Lecturer (or Asst. Professor in American terms) and Chancellor's Fellow at the School of Informatics in the University of Edinburgh (since December 2012). Previously, I was a post-doc at Oxford University, Computer Science Department and at Laboratoire d'Informatique de Grenoble (LIG) at Grenoble, France. I graduated with a PhD in Computer Science from the University of Minnesota in Aug 2009. My PhD advisor is Prof. Mats Heimdahl . My Research My research is in the field of software engineering and strives to address challenges in software validation and verification. I am especially interested in Machine learning applied to the test oracle problem - Automatically classifying test executions as pass/fail. Defining quality metrics for GPU programs . I am interested in coverage metrics for code, design, and requirements (functional, non-functional, security). Automated test case generation and execution for blockchain applications and GPU programs . Optimising energy consumed by software . We investigated the energy consumed by software design patterns and proposed compiler optimisations for a couple fo the patterns in recent work. Economic models for incremental software and software on the cloud. I am looking for PhD students. Research topics should be in the field of software enginnering. Fully funded PhD positions are available for UK/EU students. Exceptional overseas students will also be considered. News 03/10/2018: Selected for Facebook TAV research feasibility award. 11/09/2018: Foivos Tsimpourlas joins the group as a CDT PhD student. 05/09/2018: APSEC'18 research paper accepted. Title: "Accelerated Finite State Machine Test Execution Using GPUs ". 24/07/2018: Selected for Huawei's HIRP Open Research Award 2018. 06/07/2018: ESEM'18 research paper accepted. Title: "Assessing the Effect of Data Transformations on Test Suite Compilation.". 01/06/2018: Sefa Akca joins the group as a PhD student. 22/05/2018: Manuscript, "Speeding up Test Execution with Increased Cache Locality" accepted in STVR journal. 7/05/2018: PC member for ECOOP'19 and ICSE 2019. 15/02/18: Vanya selected to present at ACM SRC held at ICSE 2018. 6/02/18 : Poster paper accepted at ICSE 2018. 21/07/17: Associate Editor of IET Software Journal. 25/05/17: Panos awarded bronze medal in ACM SRC competition at ICSE 2017. 20/05/17: ISSTA'17 tools paper accepted. Title: "ParTeCL: Parallel Testing Using OpenCL". 29/04/17: ISSTA'17 paper accepted. Title: "Compiler-Assisted Test Acceleration on GPUs for Embedded Software" 7/2/17: Panos selected to participate in ACM SRC competition at ICSE 2017. 4/1/17: PC Member for FMCAD 2017. 4/9/16: ValueTools 2016 short paper accepted. Title: "Sensitivity of Application Performance to Resource Availability". 3/8/16: SICSA PECE travel award for collaborating with Dr. Subodh Sharma at IIT, Delhi. 1/8/16: Panos is awarded Sigsoft CAPS funding award to attend ASE'16. 8/7/16: ASE'16 paper accepted. Title: "Test Case Permutation to Improve Execution time.". 1/6/16: MInf4 student, Boris Penev, starts his summer internship with me. 4/5/16: ESEM'16 paper accepted. Title: "A Study on the Influence of Software and Hardware Features on Program Energy". 29/4/16: TOSEM journal paper accepted for publication. 7/9/15: Vanya Yaneva started her PhD as part of the second CDT cohort in Pervasive Parallelism. 26/8/15: The TOSEM journal paper on "The Effect of Program and Model Structure on the Effectiveness of MC/DC Test Adequacy Coverage" has been accepted with minor revisions. 7/8/15: I have authored the chapter on "Change Impact metrics" in the book "Validation of Evolving Software" recently published by Springer. ISBN 978-3-319-10623-6. 3/8/15: Panos Stratis joins as a PhD student. 9/2/15: Awarded GCHQ grant to perform accelerated security testing using GPUs. 21/1//15:Paper on "Optimising Energy Consumption of Design Patterns" accepted at ICSE'15 in the new ideas track . 1/8/14: Adel Nourredine joins the group as a Post-doctoral research assistant. 30/6/14:Paper on "Accelerated Test Execution usign GPUs" was accepted at ASE'14 in the new ideas track . 1/6/14: Sivaprakash Senapathi started his summer internship at IBM and will work with us on the EPSRC project. 8/2/14: EPSRC First Grant Awarded . The project will define cost models for regression test effort in collaboration with IBM Edinburgh. Project is due to start on 1/8/14. I edited a book along with Thomas Wahl for the European funded project, CESAR. The book was published by Springer in March 2013. A glimpse of the book is available here. diff --git a/src/data/compiled_bios/5429.txt b/src/data/compiled_bios/5429.txt new file mode 100644 index 0000000000..ceda3261eb --- /dev/null +++ b/src/data/compiled_bios/5429.txt @@ -0,0 +1 @@ + Subramanian Ramamoorthy Home research publications teaching links blog contact I am a Reader in the School of Informatics at The University of Edinburgh , where I am affiliated with the Institute of Perception, Action and Behaviour . I am an Executive Committee Member of the Edinburgh Centre for Robotics . I lead the Robust Autonomy and Decisions research group, whose focus is on building robustly autonomous robotic systems and other decision making agents, capable of intelligently working with humans and other robots. This involves the development of new models and algorithmic techniques for (interactive) machine learning, planning and decision making, as well as practical work involving robots, wearable and networked sensors and human behavioural experiments. This is motivated by applications involving autonomous robotics, capable of actively learning and reasoning about models, and the uses of such interactively intelligent robots in homes, factories and field environments such as energy and environmental systems. Previously, I was at the Artificial Intelligence Lab in The University of Texas at Austin . Also, I spent several years working with National Instruments Corp. in the control design, dynamic simulation and computer vision groups. diff --git a/src/data/compiled_bios/543.txt b/src/data/compiled_bios/543.txt new file mode 100644 index 0000000000..19a3706dc4 --- /dev/null +++ b/src/data/compiled_bios/543.txt @@ -0,0 +1 @@ +Pedro Lopes Assistant Professor Department of Computer Science Email: pedrolopes@cs.uchicago.edu Office: JCL 365 Website: people.cs.uchicago.edu/~pedrolopes Research: human computer interaction, virtual + augmented reality, wearable computing Biography Pedro Lopes is an Assistant Professor at the University of Chicago, where he leads a research group that asks the following questions: (1)what if interfaces wouldsharepart of our body? (2)How can we engineer future devices to connect more personally and directly to our body?Pedro has materialized some of these ideas by creating interactive systemsintentionallyborrowparts of the users body for input and output; allowing computers to be more directly interwoven in our bodily senses and actuators. One specific flavor of such devices that Pedro has extensively explored is devices that borrow the users muscles by means ofelectrical muscle stimulation. These devices use part of the wearers body for output, i.e., the computer can output by actuating the users muscles with electrical impulses, causing it to move involuntarily. The wearer can sense the computers activity on their own body by means of their sense of proprioception. Pedros wearable systems have shown to (1) increase realism in VR, (2) provide a novel way to access information through proprioception, and (3) serve as a platform to experience and question the boundaries of our sense of agency. Pedros work is published at top-tier conferences (ACM CHI & UIST) and demonstrated at venues such as SIGGRAPH and IEEE Haptics. Pedro has received the CHI Best Paper award for his work on Affordance++, Best Talk Awards and a Best Paper nomination. As part of his research, Pedro has exhibited at Ars Electronica 2017, Science Gallery Dublin and World Economic Forum in San Francisco. His work also captured the interest of media, such as MIT Technology Review, NBC, Discovery Channel, NewScientist or Wired. Previously, Pedro was a PhD student with Prof. Baudisch at the Hasso Plattner Institute, Germany. Selected YouTube videos:VR Walls,Muscle Plotter,Affordance++ Courses taught byPedro:HCI Topics Course (Graduate Seminar) diff --git a/src/data/compiled_bios/5430.txt b/src/data/compiled_bios/5430.txt new file mode 100644 index 0000000000..14e739fed8 --- /dev/null +++ b/src/data/compiled_bios/5430.txt @@ -0,0 +1 @@ + Steve Renals Professor of Speech Technology, School of Informatics Member, Centre for Speech Technology Research Member, Institute of Language, Cognition, and Computation Director, Institute of Data Science and Engineering University of Edinburgh Home CSTR ILCC Research People & Projects Publications Teaching Bio Tweets Google Scholar Contact NST SUMMA PhD Programme in Data Science uDialogue CITIA Alan Turing Institute Quorate Cereproc New SUMMA project ! Scalable Understanding of Multilingual Media My slides from an invited talk on Towards an Interaction Baselayer at the Language Technology Industry Summit 2016 in Brussels. My slides from an invited talk at ASRU-2015 on Natural Speech Technology . My slides from an overview presentation at ASRU-2015 on the MGB Challenge . Recent papers : Pawel Swietojanski and Steve Renals, Differentiable Pooling for Unsupervised Acoustic Model Adaptation , submitted to IEEE/ACM TASLP, arXiv:1603.09630. Pawel Swietojanski, Jinyu Li, and Steve Renals, Learning Hidden Unit Contributions for Unsupervised Acoustic Model Adaptation , IEEE/ACM TASLP, 2016. Liang Lu, Lingpeng Kong, Chris Dyer, Noah A. Smith, and Steve Renals, Segmental Recurrent Neural Networks for End-to-end Speech Recognition , arXiv:1603:00223 Liang Lu and Steve Renals, Small-footprint Deep Neural Networks with Highway Connections for Speech Recognition , arXiv:1512.04280 Liang Lu, Xingxing Zhang, and Steve Renals, On training the recurrent neural network encoder-decoder for large vocabulary end-to-end speech recognition , ICASSP-2015. Pawel Swietojanski and Steve Renals, SAT-LHUC: Speaker adaptive training for learning hidden unit contributions , ICASSP-2016. P Bell, MJF Gales, T Hain, J Kilgour, P Lanchantin, X Liu, A McParland, S Renals, O Saz, M Wester, and P Woodland, The MGB Challenge: Evaluating multi-genre broadcast media recognition , ASRU-2015. Peter Bell and Steve Renals, A system for automatic alignment of broadcast media captions using weighted finite-state transducers , ASRU-2015. Ahmed Ali, Walid Magdi, Peter Bell, and Steve Renals, Multi-reference WER for evaluating ASR for languages with no orthographic rule , ASRU-2015. Liang Lu, Xingxing Zhang, Kyunghung Cho, and Steve Renals, A Study of the Recurrent Neural Network Encoder-Decoder for Large Vocabulary Speech Recognition , Interspeech-2015. Liang Lu and Steve Renals, Feature-space Speaker Adaptation for Probabilistic Linear Discriminant Analysis Acoustic Models , Interspeech-2015. Zhizheng Wu, Pawel Swietojanski, Christophe Veaux, Steve Renals, and Simon King, A study of speaker adaptation for DNN-based speech synthesis , Interspeech-2015. Peter Bell and Steve Renals, Complementary tasks for context-dependent deep neural network acoustic models , Interspeech-2015. Siva Reddy Gangireddy, Steve Renals, Yoshihiko Nankaku, and Akinobu Lee, Prosodically-enhanced Recurrent Neural Network Language Models , Interspeech-2015. Recent Best Paper Awards: Pawel Swietojanski and Steve Renals. Learning Hidden Unit Contributions for Unsupervised Speaker Adaptation of Neural Network Acoustic Models , IEEE SLT-2014. (Best paper) Liang Lu, Arnab Ghoshal, and Steve Renals. Acoustic Data-driven Pronunciation Lexicon for Large Vocabulary Speech Recognition , IEEE ASRU-2013. (Best paper) Pawel Swietojanski, Arnab Ghoshal, and Steve Renals. Unsupervised cross-lingual knowledge transfer in DNN-based LVCSR , IEEE SLT-2012. (Best student paper) Songfang Huang and Steve Renals. Power Law Discounting for N-Gram Language Models , IEEE ICASSP-2010. (Best student paper in speech technology) Research I'm interested in understanding human communication using machine learning and statistical models, and constructing systems that can recognize and interpret communication scenes. My research career is grounded in speech processing, and our approaches start from the signals. Speech Recognition and Synthesis How can we improve conversational speech recognition? How can we make speech synthesis more natural? We are looking at better speech recognition systems that are better adapted or normalised to new domains or speakers, that can be ported across languages, and that are robust to different acoustic environments. We are particularly interested in models based on deep neural networks, for both acoustic modelling and language modelling. Current research students in speech recognition and synthesis include Pawel Swietojanski , Siva Reddy Gangireddy , and Joachim Fainberg . I'm also working with Ben Krause on recurrent neural networks. Researchers working with me on speech recognition include Peter Bell and Liang Lu . In speech synthesis, I am trying to keep up with the great work of Simon King , Junichi Yamagishi , and their colleagues, as well as working with Korin Richmond on articulatory modelling. Read more... Multimodal Interaction Human communication is factored across more than one modality. The analysis and interpretation of multimodal interaction presents a number of challenges, ranging from ways to model multiple asynchronous streams of data to the construction of systems that can interpret aspects of multiparty human communication. A lot of this work is about augmenting communication in meetings - in the AMI and AMIDA Integrated Projects, and in the InEvent project. I work with Catherine Lai , Jonathan Kilgour , and Jean Carletta in these areas. And I try to keep up with Hiroshi Shimodaira 's work on synthesising conversational agents and social signals. Read more... Projects I'm principal investigator of the Natural Speech Technology , SUMMA , and uDialogue projects. Previous projects include the AMI and AMIDA Integrated Projects. Opportunities We are always looking for excellent research students: see the page about PhD opportunities at CSTR. I am not looking for visiting interns for the foreseeable future. Teaching This year I am teaching the Machine Learning Practical , and also Automatic Speech Recognition (ASR jointly with Hiroshi Shimodaira ). CSTR ILCC Informatics UoE Last edited: 2016-05-17T13:12:00Z (srenals) diff --git a/src/data/compiled_bios/5431.txt b/src/data/compiled_bios/5431.txt new file mode 100644 index 0000000000..442c26ff40 --- /dev/null +++ b/src/data/compiled_bios/5431.txt @@ -0,0 +1 @@ + University Homepage School Homepage School Contacts School Search Valerio Restocchi Position Lecturer in Business Application of Informatics Lecturer in Business Applications of Informatics Roles Member of Centre for Intelligent Systems and their Applications Personal Tutor of Informatics UG Students Project supervision of Honours Project Project supervision of MSc Dissertation Email Address Office,Telephone IF-2.18 Publications - Edinburgh Research Explorer Home : People Informatics Forum, 10 Crichton Street, Edinburgh, EH8 9AB, Scotland, UK Tel: +44 131 651 5661, Fax: +44 131 651 1426, E-mail: school-office@inf.ed.ac.uk Database generated page, please contact us with any comments or corrections. Logging and Cookies Unless explicitly stated otherwise, all material is copyright The University of Edinburgh diff --git a/src/data/compiled_bios/5432.txt b/src/data/compiled_bios/5432.txt new file mode 100644 index 0000000000..0d9a2ceb35 --- /dev/null +++ b/src/data/compiled_bios/5432.txt @@ -0,0 +1 @@ + University Homepage School Homepage School Contacts School Search Judy Robertson Position Chair in Digital Learning Roles Member of Institute for Language, Cognition and Computation Email Address Office,Telephone IF-3.49 Publications - Edinburgh Research Explorer Home : People Informatics Forum, 10 Crichton Street, Edinburgh, EH8 9AB, Scotland, UK Tel: +44 131 651 5661, Fax: +44 131 651 1426, E-mail: school-office@inf.ed.ac.uk Database generated page, please contact us with any comments or corrections. Logging and Cookies Unless explicitly stated otherwise, all material is copyright The University of Edinburgh diff --git a/src/data/compiled_bios/5433.txt b/src/data/compiled_bios/5433.txt new file mode 100644 index 0000000000..738f54f119 --- /dev/null +++ b/src/data/compiled_bios/5433.txt @@ -0,0 +1 @@ + Michael Rovatsos Reader, School of Informatics, The University of Edinburgh Agents Group CISA Informatics Main Welcome I am a Reader (Associate Professor) at the School of Informatics and Director of the Bayes Centre . I have also recently been appointed Turing University Lead for the University of Edinburgh at the Alan Turing Institute . In my research, I develop AI algorithms and architectures to support collaboration between humans. Think sharing economy, electronic markets, logistics and supply chains, or complex financial services. Making AI safe and ensuring it behaves in responsible ways is an important part of this vision. I lead the Agents Group at Edinburgh, and have been very lucky to work with many amazing PhD students, postdocs, and visitors in the group over the years on topics related to this overall research area, e.g. fair task recommendation mechanisms , scalable multiagent planning algorithms , or automated norm synthesis (just to give a few examples). Previously, I was Director of the Centre for Intelligent Systems and their Applications , and have been involved in several large research initiatives supported by more than 10 million of external funding. I co-ordinated the ESSENCE network, which focuses on using human communication techniques to enable AI systems to negotiate and evolve meaning. I led work on social orchestration systems for coordinating collective human activity in the SmartSociety project. In the UnBias project, I am currently developing fair data-driven algorithms that help address people's concerns about algorithmic bias. I'm always interested in exceptional PhD students - please get in touch if have a strong background in AI (especially multiagent systems, ethical and human-friendly AI, automated planning, game theory, symbolic learning). You should read the PhD study at CISA page, and you can find some example PhD topics here . I am a champion for increasing the percentage of female PhD students in our School, so if you are female and reading this, please consider yourself specifically encouraged to apply! You might also be interested in my CV , my research , publications , teaching and other activities . Follow me on Twitter for news, announcements, and random musings. Thanks for stopping by. View Edit History Print Find It Home CV Publications Research Teaching Students Other Activities Talks and Presentations Personal edit SideBar mrovatso at inf ed ac uk, snail: Informatics Forum 2.12A, Edinburgh EH8 9AB, tel: +44 131 6513263, fax: +44 131 6506899 Page last modified on 5th December, 2017. Drop Shadow theme adapted by David Gilbert , powered by PmWiki diff --git a/src/data/compiled_bios/5434.txt b/src/data/compiled_bios/5434.txt new file mode 100644 index 0000000000..39b2c12ed6 --- /dev/null +++ b/src/data/compiled_bios/5434.txt @@ -0,0 +1 @@ + Guido Sanguinetti Research and PhD projects Teaching CV& Publications SoftwareDownloads People OtherInterests School of Informatics Informatics Forum 10 Crichton Street Edinburgh EH8 9AB Tel: +44 131 650 5136 Fax: +44 131 651 1426 email: G.Sanguinetti@ed.ac.uk Welcome I am a Reader in Machine Learning in the Institute for Adaptive and Neural Computation at the School of Informatics , University of Edinburgh. My interests focus on probabilistic modelling of biological systems, with particular emphasis on inference in dynamical systems. For more details of my research interests, including live projects and possible PhD projects, please see the research projects page . I'm also a potential supervisor on the newly funded EPSRC Centre for Doctoral Training in Data Science, see Data Science Ph.D. programme . To learn more about our group and what we do, please visit the group pages kindly set up by Giulio Caravagna . diff --git a/src/data/compiled_bios/5435.txt b/src/data/compiled_bios/5435.txt new file mode 100644 index 0000000000..d9b488adbd --- /dev/null +++ b/src/data/compiled_bios/5435.txt @@ -0,0 +1 @@ + Don Sannella Professor of Computer Science Laboratory for Foundations of Computer Science School of Informatics University of Edinburgh Edinburgh EH8 9AB Scotland Contact dts inf.ed.ac.uk , +44 131 650 5184, uk.linkedin.com/in/donsannella/ , secretary Magdalena Mazurczak ( mmazurcz inf.ed.ac.uk , +44 131 650 5132) Research My publications ( DLBP , Google Scholar ) and my Latex bib file . Most of these papers are in my public ftp directory . Security via proof-carrying code and other forms of machine-checkable digital evidence: Mobility and Security group (projects: MRG , MOBIUS , ReQueST , RESA , App Guarden ) Algebraic specification: book ; Extended ML ; foundations of formal software development ; CoFI and CASL ; Edinburgh work on CoFI/CASL Some other past and present research grants I did some work on the navigation system of the Dervish landmine-detonating robot . A 1999 CNN broadcast about the Dervish is here . Book Order from Springer or Amazon ( reviews ) ( More ... ) Teaching 1st-year undergraduate course on Functional Programming Coordinator for Honours Projects 2010/2011 3rd-year undergraduate course on Computability and Intractability 2010/2011 3rd-year undergraduate course on Functional Programming and Specification 2002/2003 postgraduate course on Theory and Practice of Algebraic Specification My Ph.D. students, present and past , and some past M.Sc. and undergraduate students . Ph.D. application information is here . Editorial I am editor-in-chief of the journal Theoretical Computer Science , responsible for part B: Logic, Semantics and Theory of Programming [ web submission , instructions for guest editors of TCS special issues ]. I am an editor of Electronic Notes in Theoretical Computer Science . and Computer Science Review . Other work-related stuff I was founding chairman of the ETAPS steering committee, and was general chair of ETAPS 2005 in Edinburgh, 2-10 April 2005 . Student sponsorship opportunities at the School of Informatics Me, plus miscellaneous Sannellabration! , Uppsala, 23 April 2017 A short CV and a short video . I am a Fellow of the Royal Society of Edinburgh . I am founder and CEO of Contemplate Ltd Family: Kara, 10 and Caelan, 7 in January 2004. Kara, 7 , Caelan, 4 , and both together in May 2001. Kara, 5 and Caelan, nearly 2 , on holiday in Tunisia in October 1998. Kara likes doing manga-style drawings, like these on the Milner lecture posters: 2006 (On the impossibility of obfuscation), 2007 (Finite model theory), 2017 (Telling molecules what to do), 2018 (Swift logic for big data and knowledge graphs), this one on model checking and the database group's 2009 Christmas card . Kara does other kinds of drawings and paintings too: poster from her November 2014 exhibition . I'm a member of Penicuik Archers I'm trying to learn to play mandolin with the help of Andy Miller . Sometimes I play traditional music in the Wednesday evening slow session at Leslie's Bar. I love to ski . For the benefit of search engines Don Sannella . Last modified: Tue Aug 19 10:27:20 BST 2014 diff --git a/src/data/compiled_bios/5436.txt b/src/data/compiled_bios/5436.txt new file mode 100644 index 0000000000..86d12008f4 --- /dev/null +++ b/src/data/compiled_bios/5436.txt @@ -0,0 +1 @@ + Home Publications Teaching Students PhD Positions Rik Sarkar Assistant Professor/Lecturer School of Informatics University of Edinburgh. Brief Bio. I am a Lecturer and a Chancellor's Fellow in Informatics at The University of Edinburgh. My PhD was from Stony Brook University, USA, in 2010, and M.Tech was from IIT Bombay in 2005. I was a researcher jointly at Technical, Freie and Humbolt Univeristies of Berlin from 2010 to 2012, with the MDS Fellowship from the German Science Foundation. Research Interests Machine learning: algorithms, privacy preserving methods. Data science for autonomous vehicles. Network Analysis. Computational Geometry, topology, and trajectory analysis. Distributed computing: IoT, sensors, and edge computing. Special PhD positions in Machine learning, data mining, computational geometry etc for smart cities. Deadline Jan 21. Contact: 10 Crichton Street Informatics Forum 3.45 Edinburgh EH8 9AB U.K. Ph: +44 (0) 131 650 4444 Fax: +44 (0) 131 651 1426 See PhD positions Here. diff --git a/src/data/compiled_bios/5437.txt b/src/data/compiled_bios/5437.txt new file mode 100644 index 0000000000..00aef5a9b7 --- /dev/null +++ b/src/data/compiled_bios/5437.txt @@ -0,0 +1 @@ + University Homepage School Homepage School Contacts School Search Paul Schweizer Position Senior Lecturer Roles Member of Institute for Language, Cognition and Computation Personal Tutor of Informatics MSc Students Project supervision of Honours Project Project supervision of MSc Dissertation Research Interests Philosophical logic, the computational paradigm and conceptual foundations of cognitive science and AI, philosophy of mind and language Email Address Office,Telephone DSB,+44 (0) 131 650 2704 Publications - Edinburgh Research Explorer Home : People Informatics Forum, 10 Crichton Street, Edinburgh, EH8 9AB, Scotland, UK Tel: +44 131 651 5661, Fax: +44 131 651 1426, E-mail: school-office@inf.ed.ac.uk Database generated page, please contact us with any comments or corrections. Logging and Cookies Unless explicitly stated otherwise, all material is copyright The University of Edinburgh diff --git a/src/data/compiled_bios/5438.txt b/src/data/compiled_bios/5438.txt new file mode 100644 index 0000000000..2386cd22cc --- /dev/null +++ b/src/data/compiled_bios/5438.txt @@ -0,0 +1 @@ + Volker Seeker About Publications Teaching Contact Blog Volker Seeker Computer Scientist at Edinburgh University Follow Edinburgh, Scotland Twitter Google+ LinkedIn Bitbucket Github Google Scholar ORCID About me I am a University Teacher in the School of Informatics at the University of Edinburgh . Research Interests I am interested in mobile and embedded computing , particularly in making mobile solutions more energy efficient. My focus lies on finding software solutions to save energy consumption whilst keeping the quality of experience for end users high. In so doing I am looking into the areas of both embedded programming and human computer interaction. I like to think that machine learning approaches and heterogeneous processing have high potential of bringing the research forward in these areas. In my role as University Teacher I am also interested in exploring which teaching tools and methods can optimally help students understand the concepts of computer science. Short Biography Since Aug. 17: University Teacher School of Informatics, University of Edinburgh May. 16 - Jun. 17: Research Associate School of Computing and Communications, Lancaster University Nov. 11 - Dec. 16: PhD in Computer Science School of Informatics, University of Edinburgh Oct. 05 - May. 11: Dipl.-Ing. in Computer Engineering Fachbereich Elektrotechnik und Informatik, Technische Universitt Berlin Sitemap GitHub Bitbucket Feed 2019 Volker Seeker. Powered by Jekyll & AcademicPages , a fork of Minimal Mistakes . diff --git a/src/data/compiled_bios/5439.txt b/src/data/compiled_bios/5439.txt new file mode 100644 index 0000000000..002ab5e7d6 --- /dev/null +++ b/src/data/compiled_bios/5439.txt @@ -0,0 +1 @@ + Dr. Rico Sennrich Lecturer (Assistant Professor) School of Informatics, room 3.03A 10 Crichton Street Edinburgh, EH8 9AB, United Kingdom rico.sennrich AT ed.ac.uk Main CV Publications Teaching Students Software and Data I am a Lecturer (Assistant Professor) at the University of Edinburgh working on machine learning, especially in the area of machine translation and natural language processing. My recent focus has been high-quality machine translation, with syntax-based SMT , and with neural machine translation . Some of our results can be found in my publications , and in the results of the WMT shared translation tasks ( 2014 , 2015 , 2016 , 2017 ). I am a member of the Machine Translation Group and the Edinburgh NLP Group - come join our weekly meetings. I am also affiliated with the University of Zurich in the CoNTra project. News 2018: I have two funded PhD studentships at the University of Zurich (start: September 2019; application deadline: 20 January 2019): more information here . 2018: I received a SNSF Professorship and will move to the University of Zurich in August 2019. 2018: congratulations to Jonathan Mallinson, Gongbo Tang, Samuel Lubli, and all co-authors: 3 papers accepted to EMNLP 2018. 2018: congratulations to Elena Voita; her paper on anaphora resolution in discourse-level MT has been accepted to ACL. 2018: congratulations to Rachel Bawden; her paper on discourse-level MT has been accepted to NAACL. 2017: I have been appointed Lecturer in Machine Learning at the University of Edinburgh. 2017: congratulation to my co-authors: 2 short papers accepted to EMNLP; 3 research papers to WMT. Camera-ready versions coming soon. 2017: UEDIN is tied for best constrained system for 11 out of 12 translation pairs in which we participated in the WMT17 shared news translation task. 2016: how grammatical is character-level neural MT? Difficult question, but we can test this with contrastive translation pairs (EACL 2017). The test set is released here . 2016: update: now all our WMT16 neural systems are available here . 2016: new textbook: Philip Williams, Rico Sennrich, Matt Post and Philipp Koehn. Syntax-based Statistical Machine Translation 2016: Edinburgh submitted neural MT systems to the WMT 16 shared translation task for 8 translation directions, which are ranked (tied) best for 7 out of 8. Get code and data here . System description here Prospective interns and visitors I do not currently have any openings for internships. Please do not send me an unsolicited application. top diff --git a/src/data/compiled_bios/544.txt b/src/data/compiled_bios/544.txt new file mode 100644 index 0000000000..167dd65889 --- /dev/null +++ b/src/data/compiled_bios/544.txt @@ -0,0 +1 @@ +Ravi Chugh Assistant ProfessorDepartment of Computer Science Email: rchugh@cs.uchicago.edu Phone: (773) 702-6601 Office: JCL 345 Website: people.cs.uchicago.edu/~rchugh Research: programming languages, systems diff --git a/src/data/compiled_bios/5440.txt b/src/data/compiled_bios/5440.txt new file mode 100644 index 0000000000..bdd07d3e33 --- /dev/null +++ b/src/data/compiled_bios/5440.txt @@ -0,0 +1 @@ + Dr Peggy Seris Senior Lecturer Computational Cognitive Neuroscience and Psychiatry Institute for Adaptive and Neural Computation 10 Crichton Street, room 2.50, Edinburgh EH8 9AB, UK. Tel: +44 (0) 131 650 30 88 pseries inf.ed.ac.uk My Lab | Research | Teaching | Publications | JC | Links | News diff --git a/src/data/compiled_bios/5441.txt b/src/data/compiled_bios/5441.txt new file mode 100644 index 0000000000..386358d085 --- /dev/null +++ b/src/data/compiled_bios/5441.txt @@ -0,0 +1 @@ + University Homepage School Homepage School Contacts School Search Laura Sevilla-Lara Position Lecturer Reader in Image and Vision Computing Lecturer in Image and Vision Computing Roles Member of Institute of Perception, Action and Behaviour Personal Tutor of Informatics UG Students Project supervision of Honours Project Project supervision of MSc Dissertation Email Address Office,Telephone IF-1.44A Publications - Edinburgh Research Explorer Home : People Informatics Forum, 10 Crichton Street, Edinburgh, EH8 9AB, Scotland, UK Tel: +44 131 651 5661, Fax: +44 131 651 1426, E-mail: school-office@inf.ed.ac.uk Database generated page, please contact us with any comments or corrections. Logging and Cookies Unless explicitly stated otherwise, all material is copyright The University of Edinburgh diff --git a/src/data/compiled_bios/5442.txt b/src/data/compiled_bios/5442.txt new file mode 100644 index 0000000000..26de5a5347 --- /dev/null +++ b/src/data/compiled_bios/5442.txt @@ -0,0 +1 @@ +JavaScript is required. Please double check and try again. Copyright 2018 Apple Inc. All rights reserved. diff --git a/src/data/compiled_bios/5443.txt b/src/data/compiled_bios/5443.txt new file mode 100644 index 0000000000..ba0f70105a --- /dev/null +++ b/src/data/compiled_bios/5443.txt @@ -0,0 +1 @@ + (It's me, but 25 years ago!) Hiroshi Shimodaira The Centre for Speech Technology Research (CSTR) The School of Informatics The University of Edinburgh E-mail: ____h.shimodaira(at)ed(dot)ac(dot)uk____ Background I joined the School of Informatics at the University of Edinburgh in September 2004. Previously I have worked at Japan Advanced Institute of Science and Technology (JAIST) (1992-2004), where I was a co-director of the Intelligent Information Processing Laboratory (IIPL) . My research profile, which was written many years ago and should be updated, is here . Research Interests: Lifelike conversational agents with personalities, speech recognition (acoustic models), character recognition, machine learning, medical-image processing Publications Projects Lifelike Conversational Agents (in Japanese!) Galatea : A sofrtware toolkit for lifelike conversational agents Support Vector Machine (links) Conference calendar sorted by [date] [deadline] , [past-conferences] Links PhD research opportunities Topics for PhD research at CSTR Look here for information about applying to study for a PhD in Informatics at Edinburgh. Misc. junk links Contact details Dr Hiroshi Shimodaira Centre for Speech Technology Research / School of Informatics University of Edinburgh 10 Crichton Street Edinburgh EH8 9AB United Kingdom Tel: +44 131 651 3279 Fax: +44 131 650 4587 Email: ____h.shimodaira(at)ed(dot)ac(dot)uk____ CSTR | HCRC | ICCS | School of Informatics | University of Edinburgh diff --git a/src/data/compiled_bios/5444.txt b/src/data/compiled_bios/5444.txt new file mode 100644 index 0000000000..5473809cd4 --- /dev/null +++ b/src/data/compiled_bios/5444.txt @@ -0,0 +1 @@ + Statistical Bioinformatics Group @Informatics, Edinburgh View Our GitHub Profile Twitter Research People Publications Contact (e-mail) Board gaming night - Eldritch Horror Welcome to Our Group Site We are the statistical bioinformatics group in the Institute for Adaptive and Neural Computation in the School of Informatics at the University of Edinburgh . The group is led by Dr. Ian Simpson who has a joint position as Principal Investigator in the School of Informatics at Edinburgh University and as Principal Researcher in Statistical Genomics and Bioinformatics at Biomathematics and Statistics Scotland . We use this site to let you know about us and our research and more importantly to act as a single point of access to as much of our code, data, methods and publications as we are allowed to make available. Authors and Contributors You can access our code from our main GitHub page as well as from the individual pages of group members; me -> Ian Simpson ( @tisimpson ), Maciej Pajak ( @marcou ), Emilia Wysocka ( @ewysocka ), Xin He ( @hxin ), Sam Heron ( @s-heron ), Alba Crespi ( @albacrespi ) and Owen Dando ( @lweasel ). Hosted on GitHub Pages Theme by orderedlist diff --git a/src/data/compiled_bios/5445.txt b/src/data/compiled_bios/5445.txt new file mode 100644 index 0000000000..6028edba5f --- /dev/null +++ b/src/data/compiled_bios/5445.txt @@ -0,0 +1 @@ + University Homepage School Homepage School Contacts School Search Alan Smaill Position Senior Lecturer Roles Member of Centre for Intelligent Systems and their Applications Member of Laboratory for Foundations of Computer Science Personal Tutor of Informatics UG Students Project supervision of Honours Project Project supervision of MSc Dissertation Research Interests Constructive logics and non-realist semantics; reflection principles and their application within automated reasoning systems; theorem proving in relation to programming. Email Address Office,Telephone IF-2.10A,+44 (0) 131 650 2710 Publications - Edinburgh Research Explorer Home : People Informatics Forum, 10 Crichton Street, Edinburgh, EH8 9AB, Scotland, UK Tel: +44 131 651 5661, Fax: +44 131 651 1426, E-mail: school-office@inf.ed.ac.uk Database generated page, please contact us with any comments or corrections. Logging and Cookies Unless explicitly stated otherwise, all material is copyright The University of Edinburgh diff --git a/src/data/compiled_bios/5446.txt b/src/data/compiled_bios/5446.txt new file mode 100644 index 0000000000..6bbbd57885 --- /dev/null +++ b/src/data/compiled_bios/5446.txt @@ -0,0 +1 @@ + This site uses cookies for analytics, personalized content and ads. By continuing to browse this site, you agree to this use. Learn more Microsoft Research Research Research Home Research areas Intelligence Artificial intelligence Audio & acoustics Computer vision Graphics & multimedia Human-computer interaction Human language technologies Search & information retrieval Systems Data management, analysis and visualization Hardware & devices Programming languages & software engineering Quantum computing Security, privacy & cryptography Systems & networking Theory Algorithms Mathematics Other Sciences Ecology & environment Economics Medical, health & genomics Social sciences Technology for emerging markets Products & Downloads Programs & Events Academic Programs Events & Conferences Careers People Blogs & Podcasts Microsoft Research Blog The Microsoft Research Podcast The AI Blog Microsoft Research Newsletter Labs & Locations Microsoft Research MSR AI Asia Lab (Chinese) Asia Lab (English) Cambridge Lab India Lab Montreal Lab New England Lab New York City Lab Redmond Lab Other labs/locations Applied Sciences Lab Advanced Technology Lab Cairo Quantum About Research at Microsoft More All Microsoft Microsoft 365 Azure Office 365 Dynamics 365 SQL Windows 10 Products & Services Windows Server Enterprise Mobility + Security Power BI Teams Visual Studio Microsoft Advertising Emerging Technologies AI Internet of Things Azure Cognitive Services Quantum Microsoft HoloLens Mixed Reality Developer & IT Docs TechNet Developer Network Windows Dev Center Windows IT Pro Center FastTrack Partner Partner Network Solution Providers Partner Center Cloud Hosting Industries Education Financial services Government Health Manufacturing & resources Retail Other Security Licensing AppSource Azure Marketplace Events Research View Sitemap Search Cancel Aaron Smith Principal Research Manager Contact Info Email LinkedIn Research areas Hardware and devices Programming languages and software engineering Systems and networking Groups Computer Architecture Group About Publications Professional Activities About Im a Principal Researcher in the Microsoft Azure Silicon Systems Futures Group and Reader in Informatics at the University of Edinburgh. My research interests include Post-Moore computing, optimizing compilers, hardware/software co-design, embedded systems, computer architecture and machine learning. Im an active contributor to the LLVM open source project and serve on the steering committee for the IEEE/ACM International Conference on Code Generation and Optimization (CGO). I received my PhD in Computer Science from the University of Texas at Austin. For more information see my LinkedIn. News 10/11/2018 - LLVM based binary raiser llvm-mctoll released on Github! 6/18/2018 - The Register - Now Microsoft ports Windows 10, Linux to homegrown CPU design Publications Other PC Member, European LLVM Developer Meeting (EuroLLVM), 2019 Vice-Chair, Computer Architecture Track, IEEE International Conference on Parallel Processing (ICPP), 2019 PC Member, IEEE/ACM International Symposium on Code Generation and Optimization (CGO), 2014, 2016, 2019 PC Member, ACM Conference on Languages, Compilers, and Tools for Embedded Systems (LCTES), 2018, 2019 Steering Committee Member, IEEE/ACM International Symposium on Code Generation and Optimization (CGO), 2018 Workshops and Tutorials Chair, ACM Conference on Programming Language Design and Implementation (PLDI), 2017, 2018 Sponsorship Chair, IEEE/ACM International Symposium on Code Generation and Optimization (CGO), 2018 PC Member, Workshop on LLVM Performance, in conjunction with CGO, 2018 PC Chair, IEEE/ACM International Symposium on Code Generation and Optimization (CGO), 2017 External Reviewer, IEEE International Symposium on High-Performance Computer Architecture (HPCA), 2015, 2017 External Reviewer, IEEE Transactions on Parallel and Distributed Systems (TPDS), 2017 PC Member, International European Conference on Parallel and Distributed Computing (EURO-PAR), 2017 Sponsorship Chair, ACM Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2017 External Reviewer, IEEE/ACM International Symposium on Microarchitecture (MICRO), 2013, 2015, 2016 PC Member, IEEE International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD), 2015 General Chair, IEEE/ACM International Symposium on Code Generation and Optimization (CGO), 2015 External Reviewer, IEEE/ACM International Symposium on Computer Architecture (ISCA), 2015 PC Member, Workshop on Architectural and Microarchitectural Support for Binary Translation (AMAS-BT), 2015 External Reviewer, ACM/EDAC/IEEE Design Automation Conference (DAC), 2014, 2015 PC Member, Workshop on Adaptive Self-tuning Computing Systems (ADAPT), 2014, 2015, 2016 Session Chair, IEEE Symposium on Performance Analysis of Systems and Software (ISPASS), 2014, 2015 PC Member, IEEE Symposium on Parallel and Distributed Processing with Applications (ISPA), 2014 External Reviewer, IEEE/ACM International Conference on Parallel Architectures and Compilation Techniques (PACT), 2005, 2012 PC Member, International Workshop On Cyber-Physical Systems, Networks, and Applications, 2011, 2012 Follow us: Follow on Twitter Like on Facebook Subscribe on Youtube Follow on Instagram Subscribe to our RSS feed Share this page: Share on Twitter Share on Facebook Share on LinkedIn Share on Reddit What's new NEW Surface Pro 6 NEW Surface Laptop 2 NEW Surface Go Xbox One X Xbox One S VR & mixed reality Windows 10 apps Office apps Store & Support Account profile Download Center Sales & support Returns Order tracking Store locations Support Buy online, pick up in store Education Microsoft in education Office for students Office 365 for schools Deals for students & parents Microsoft Azure in education Enterprise Microsoft Azure Enterprise Data platform Find a solution provider Microsoft partner resources Microsoft AppSource Manufacturing & resources Financial services Developer Microsoft Visual Studio Windows Dev Center Developer Network TechNet Microsoft developer program Channel 9 Office Dev Center Microsoft Garage Company Careers About Microsoft Company news Privacy at Microsoft Investors Diversity and inclusion Accessibility Security Sitemap Contact Microsoft Privacy & cookies Terms of use Trademarks Safety & eco About our ads Microsoft 2019 diff --git a/src/data/compiled_bios/5447.txt b/src/data/compiled_bios/5447.txt new file mode 100644 index 0000000000..b74a217952 --- /dev/null +++ b/src/data/compiled_bios/5447.txt @@ -0,0 +1 @@ + Ian Stark Senior Lecturer in Computer Science Laboratory for Foundations of Computer Science School of Informatics The University of Edinburgh Edinburgh EH8 9AB, Scotland Email: Ian.Stark@ed.ac.uk Office: Informatics Forum 5.04 Office hour Wednesdays 10301130 Diary: Online calendar Telephone: +44 131 650 5143 PGP key: 0xEB58D1AD Research Papers Talks My research is on mathematical models for programming languages and concurrent systems; in particular reasoning about name generation and secure mobile code . Below are some papers, talks and events; for more follow the links above. On Executable Models of Molecular Evolution. Kwiatkowski and Stark, June2011. ( PDF ) Safety Guarantees from Explicit Resource Management. Aspinall, Maier and Stark, August 2008. Free-Algebra Models for the -Calculus. Stark, January 2008. Exploring Variation in Biochemical Pathways with Continuouspi. SynthSys , University of Edinburgh, June2012. ( Slides ) Reasons to Believe: Digital Evidence to Guarantee Trustworthy Mobile Code. fet09, Prague, April2009. ( Slides ) Webquines, The Collatz Graph and a Weightless Website. LFCS lab lunch, February2011. ( Slides, Pirate, Chess ) Events: Robin Milner Symposium ; ESOP2012 conference; FLoC2010 conferences. PhD Study at Edinburgh I am always happy to have new PhD students: if you are interested then please send me email and tell me something about your background and research interests. In 2014 we are opening a new Centre for Doctoral Training in Pervasive Parallelism , with ten fully funded scholarships each year. The centre covers a wide range of theoretical and applied topics, including research on safety and security in programming languages for concurrent and distributed systems of all kinds. The Laboratory for Foundations of Computer Science also offers graduate research positions and PhD scholarships. Links: Graduate study at Edinburgh ; Pervasive Parallelism ; Apply for a PhD at LFCS . Research Projects REMS: Rigorous Engineering for Mainstream Systems is a collaborative programme between Cambridge, Imperial and Edinburgh funded by the EPSRC to bring together practical systems research in architectures, operating systems, and networks with foundational work on mathematical theory for programming languages, automated reasoning, and verification. App Guarden: Resilient Application Stores is a research project to develop secure and trustworthy app stores for mobile devices: through user-friendly security policies, automated security analysis, and independently-verifiable digital evidence . CerCo: Certified Complexity was a three-year collaborative project with research groups in Bologna and Paris to build a verified C compiler that provides cycle-precise execution costs for an embedded microcontroller. Proof-Carrying Code: The European Mobius consortium was a four-year project to enable proof-carrying code for Java on mobile devices. This talk and poster summarize the work; you can also download a more technical overview. See this flyer for an overview of earlier work in the LFCS Mobility and Security group on proof-carrying Java bytecode. Students Chris Banks is working on modal logic for the continuous -calculus , a process algebra for modelling behaviour and variation in biomolecular systems. Marek Kwiatkowski successfully defended his PhD thesis, Aformal computational framework for the study of molecular evolution , in October2010. Since then he has been working in Switzerland on resource ecology and host-parasite co-evolution, most recently at the University of Neuchtel Institute of Biology . Previously, I was principal PhD supervisor for Uli Schpp (now at LMU in Munich), Sam Lindley (now working on Links at Edinburgh), and Tom Chothia (lecturing at Birmingham ). Teaching Current courses (2013/2014) Advances in Programming Languages Informatics1: Data & Analysis Past courses Models and Languages for Computational Systems Biology Advanced Programming in Java Language Processing Individual Programming Project: A OCCAM compiler Computer Literacy: Algorithms and Programs Models of Computation Semantics of Computation Domain Theory Advances in Semantics Spider Food Subjects: mathematical logic, category theory, type theory, principles of programming languages, denotational semantics, operational semantics, domain theory, game semantics, functional programming, Standard ML, Java, proof-carrying code, process calculi, pi-calculus, systems biology, nu-calculus, reasoning with names. People: David Aspinall , Nick Benton , Lennart Beringer , Gavin Bierman , Julian Bradfield , Luca Cattani , James Cheney , Juliusz Chroboczek , Adriana Compagnoni , Vincent Danos , Marcelo Fiore , Dan Ghica , Stephen Gilmore , Andrew Gordon , Jane Hillston , Martin Hofmann , Andrew Kennedy , Marek Kwiatkowski , Paul-Andr Mellis , Eugenio Moggi , Andrzej Murawski , Peter O'Hearn , Luke Ong , Andrew Pitts , Don Sannella , Alex Simpson , Perdita Stevens , Glynn Winskel . Page last modified: Monday 26 November 2018 diff --git a/src/data/compiled_bios/5448.txt b/src/data/compiled_bios/5448.txt new file mode 100644 index 0000000000..bba7ff61de --- /dev/null +++ b/src/data/compiled_bios/5448.txt @@ -0,0 +1 @@ + Mark Steedman 's Home Page Address : School of Informatics University of Edinburgh Informatics Forum 415 10 Crichton Street Edinburgh , EH8 9AB Scotland, United Kingdom Email: If you aren't a robot, and/or you are equipped with a parser that can handle long-range dependencies, you will be able to email me at an address formed by concatenating my surname, the "at" thingy, the first three letters of the thing that the address above says I'm in the school of, and the string dot ed dot ac dot uk Tel: +44 (131) 650 4631 FAX: +44 (131) 650 6626 My calendar: : I tend to be in seminars 11:00-12:00 and 4-6 Thursdays, and 11:00-12:30 Fridays. Most other times I'm at my desk. Mark Steedman is Professor of Cognitive Science in the School of Informatics , working in Computational Linguistics , Artificial Intelligence , and Cognitive Science , on Generation of Meaningful Intonation for Speech by Artificial Agents , The Communicative Use of Gesture , Tense and Aspect , and Wide coverage parsing and robust semantics for Combinatory Categorial Grammar (CCG). Also interested in Computational Musical Analysis and Combinatory Logic. Affiliated to the Institute for Language, Cognition, and Computation (ILCC) within the Division of Informatics, and to the Centre for Speech Technology Research (CSTR) and the interdisciplinary Human Communications Research Center (HCRC) . Join Use the CCG software Read it at last in Here are some Recent Papers and a CV. Here is a photograph of me Processing Crossing Dependencies at Aravind Joshi's Festschrift in 2013. The weather in Europe is like this . I'm also an adjunct professor in Computer and Information Science at the University of Pennsylvania in Philadelphia. The weather there is like this today. The weather in-between is like this Here is something really useful . In Memoriam: Christopher Longuet-Higgins (1923--2004) ps.gz pdf Mark Steedman diff --git a/src/data/compiled_bios/5449.txt b/src/data/compiled_bios/5449.txt new file mode 100644 index 0000000000..b1d8a2f49c --- /dev/null +++ b/src/data/compiled_bios/5449.txt @@ -0,0 +1 @@ + Perdita Stevens Professor of Mathematics of Software Engineering in the School of Informatics of the University of Edinburgh . Bio and Contact information I have (moderate, developmental) prosopagnosia , meaning that I am poor at recognising faces. Please don't take offence if I fail to recognise you: I do it to close friends and family too. Research One-minute research video: Most recent talk video ( see my YouTube playlist for more ): videoed version of my keynote "Is bidirectionality important?" at STAF/ECMFA'18. My interests include aspects of software engineering and aspects of theoretical computer science. Especially, I am interested in software design: what good design is, how people do it, how and to what extent tools can help. Currently, I am mostly interested in mathematical aspects of model-driven development , especially bidirectional model transformations. My main affiliation is with the Laboratory for Foundations of Computer Science . Papers (etc.) Responsibilities Editorial boards: Theoretical Computer Science (Section B, i.e. Logic, semantics and theory of programming). SoSym , the Springer journal Software and System Modelling. Science of Computer Programming (and in the past Information and Software Technology , PeerJ ) Recent and forthcoming PCs: FASE'20, WiL'19 , Bx'19 , FASE'19, EduSymp'18 , Bx'18 , ICSE'18, ... Recent and forthcoming invited talks: EduSymp'18 , ECMFA'18 , WiL'18 , BCTCS'17 ... Recently-finished EPSRC-funded research project, joint with Oxford, on A theory of least change for bidirectional transformations . Working with me Current students Juan Casanova Martin Kristien Recently graduated student: Cristina-Adriana Alexandru I would be happy to hear from strong prospective PhD students. You can find information about how to apply for a PhD (or MSc) place centrally. Here are some specific notes about studying with me. Please note in particular that I get a lot of emails asking for PhD places that look as though they could have been copied unchanged to hundreds of academics. I do not reply to these. Note that my role in supervising the students above is not always "first supervisor", so do use my work, not theirs, to judge the scope of my interests! We have no internships, and there are currently no vacancies for research fellows. I occasionally undertake consultancy in areas relating to my research, especially software modelling. Teaching and administration In 2018/19 I am teaching Software Design and Modelling . I am a Personal Tutor. Information sheet . I am Director of Academic Staff Development. Links to things... The page for the textbook Using UML: software engineering with objects and components which Rob Pooley and I wrote. The Edinburgh Concurrency Workbench which I used to develop. Is there bias for or against women in academia? Some notes on Informatics in Schools . Perdita.Stevens@ed.ac.uk diff --git a/src/data/compiled_bios/545.txt b/src/data/compiled_bios/545.txt new file mode 100644 index 0000000000..f7ac620d22 --- /dev/null +++ b/src/data/compiled_bios/545.txt @@ -0,0 +1 @@ +Rayid Ghani Research Associate Professor Department of Computer Science Office: JCL 260 Website: http://www.rayidghani.com/ diff --git a/src/data/compiled_bios/5450.txt b/src/data/compiled_bios/5450.txt new file mode 100644 index 0000000000..30a5d58b77 --- /dev/null +++ b/src/data/compiled_bios/5450.txt @@ -0,0 +1 @@ + Colin Stirling Research Interests Models and calculi for concurrent computation, modal and temporal logics with fixed points and their applications to verification and description of program properties. Tools for Concurrency, the Edinburgh Concurrency Workbench . Slides Deciding equivalence using type checking Workshop: abstraction and verification in semantics, June 2014 An introduction to deciding higher-order matching Invited talk at GALOP, July 2013 Proof systems for retracts in simply typed lambda calculus ICALP, July 2013 Applying automata and games to simply typed lambda calculus Invited talk at EXPRESS/SOS, September 2012 An introduction to deciding higher-order matching Invited talk at British Logic Colloquium, September 2010 Dependency tree automata Fossacs 2009 talk, March 2009 lecture one lecture two lecture three lecture four Marktoberdorf Summerschool 2005 lecture one lecture two lecture three lecture four International Winter School, Montevideo, Uruguay, 2003 Books Edited Plotkin, Stirling, Tofte Proof, Language, and Interaction Essays in Honour of Robin Milner MIT Press, 2000 Modal and Temporal Properties of Processes Springer (Texts in Computer Science), 2001 Recent Papers Proof systems for retracts in simply typed lambda calculus ICALP 2013. Full version of abstract in Lecture Notes in Computer Science 7966, 404-415, 2013. An introduction to decidability of higher-order matching Submitted for publication. Latest version July 2013. Bisimulation and logic In Advanced topics in Bisimulation and Coinduction ed. D. Sangiorgi and J. Rutten, 173-196, Cambridge University Press, 2011. Decidability of higher-order matching In Logical Methods in Computer Science 5, 1-52, 2009 (special issue for ICALP 06). Dependency tree automata FOSSACS 2009 Lecture Notes in Computer Science 5504, 92-106, 2009. Higher-order matching, games and automata LICS 2007 (Invited talk), 326-335 Model-checking games for typed lambda-calculi In Electronic Notes in Theoretical Computer Science (ENTCS) 172, 589-610, 2007 With J. Bradfield Modal mu-calculi ( ps version ) In Handbook of Modal Logic editors P. Blackburn, J. van Benthem and F. Wolter Studies in Logic and Practical Reasoning Volume 3 , Elsevier, 721-756, 2007 See Handbook web site Second-order simple grammars ( ps version ) CONCUR 2006 Lecture Notes in Computer Science 4137, 509-523, 2006 A game-theoretic approach to deciding higher-order matching ( pdf ) ICALP 2006 Lecture Notes in Computer Science 4052, 348-359, 2006 Language theory and infinite graphs ( pdf ) Notes for Logical aspects of secure computer systems Marktoberdorf summerschool 2005 (Shortened final version pdf ) Higher-order matching and games ( pdf ) CSL 2005 Lecture Notes in Computer Science 3634, 119-134, 2005 Bisimulation and language equivalence ( pdf ) In Logic for Concurrency and Synchronisation edited Ruy de Quieroz, Trends in Logic Vol. 18, Kluwer, 269-284, 2003 Deciding DPDA equivalence is primitive recursive ( pdf ) ICALP 2002 Lecture Notes in Computer Science 2380, 821-832, 2002 ( Longer draft paper pdf ) With M. Lange Model checking fixed point logic with chop ( pdf ) FOSSACS 2002 Lecture Notes in Computer Science 2303, 250-263, 2002 With M. Lange Model checking games for branching time logics ( pdf ) Journal of Logic and Computation 12, 623-639, 2002 An introduction to decidability of DPDA equivalence ( pdf ) FSTTCS 2001 (invited talk) Lecture Notes in Computer Science 2245, 42-56, 2001 Decidability of DPDA equivalence ( pdf ) Theoretical Computer Science 255, 1-31, 2001 With C. Morvan Rational graphs trace context-sensitive languages ( pdf ) MFCS 2001 Lecture Notes in Computer Science 2136, 548-559, 2001 With M. Lange Focus games for satisfiability and completeness of temporal logic ( pdf ) LICS 2001, 357-365 Decidability of weak bisimilarity for a subset of basic parallel processes ( pdf ) FOSSACS 2001 Lecture Notes in Computer Science 2030, 379-393, 2001 With J. Bradfield Modal logics and mu-calculi In Handbook of Process Algebra , edited J. Bergstra, A. Ponse and S. Smolka, 293-332 Elsevier, North-Holland, 2001 Schema revisited ( pdf ) CSL 2000 (invited talk) Lecture Notes in Computer Science, 1862, 126-138, 2000 Decidability of bisimulation equivalence for pushdown processes ( pdf ) Draft Paper, 2000 With T. Kempster and P. Thanisch Diluting ACID ACM SIGMOD RECORD 28(4) , 1999 Bisimulation, modal logic and model checking games Logic Journal of the IGPL 7, 103-124, 1999 The joys of bisimulation ( pdf ) MFCS 1998 (invited talk) Lecture Notes in Computer Science 1450, 142-151, 1998 Decidability of bisimulation equivalence for normed pushdown processes Theoretical Computer Science 195, 113-131, 1998 With T. Kempster and P. Thanisch A more committed quorum-based three phase commit protocol DISC 1998 Lecture Notes in Computer Science 1499, 246-257, 1998 With P. Stevens Practical model-checking using games TACAS 1998 Lecture Notes in Computer Science , 1384, 85-101, 1998 With H. Huttel Actions speak louder than words: proving bisimilarity for context-free processes ( pdf ) Journal of Logic and Computation 8(4), 485-509, 1998 Bisimulation, model checking and other games ( pdf ) Notes for Mathfit instructional meeting on games and computation , Edinburgh, June 1997 Decidability of bisimulation equivalence for normed pushdown processes CONCUR 1996 Lecture Notes in Computer Science 1119, 217-232, 1996 Games for bisimulation and model checking Notes for Mathfit Workshop on finite model theory , University of Wales, Swansea, July 1996 Games and modal mu-calculus ( pdf ) TACAS 1996 Lecture Notes in Computer Science 1055, 298-312, 1996 Modal and temporal logics for processes ( pdf ) Lecture Notes in Computer Science 1043, 149-237, 1996 Local model checking games ( pdf ) CONCUR 1995 (invited talk) Lecture Notes in Computer Science 962, 1-11, 1995 With S. Christensen and H. Huttel Bismulation equivalence is decidable for all context-free processes ( pdf ) Information and Computation 121, 143-148, 1995 (Extended version from Concur92) With H. Andersen and G. Winskel A compositional proof system for model checking ( pdf ) This is an extended version of a LICS 1994 paper, 144-153 ( The lics version pdf ) diff --git a/src/data/compiled_bios/5451.txt b/src/data/compiled_bios/5451.txt new file mode 100644 index 0000000000..1613017605 --- /dev/null +++ b/src/data/compiled_bios/5451.txt @@ -0,0 +1 @@ + amos storkey background research group and projects publications illusions jobs/phd Welcome Contact Background Research Publications Illusions My Profile amos storkey I am a Professor in the School of Informatics, University of Edinburgh. See the contact pages for my email address, work location and maps. Although by no means exhaustive, my research covers the following areas Understanding Deep Learning Building Neural Networks under Real World Constraints Meta-Learning and Few Shot Learning Exploration-Driven Reinforcement Learning Bayesian Methods, Gaussian Processes and Graphical Models Stochastic Differential Systems, including Sampling Bayesian Posteriors Transactional Machine Learning and Machine Learning Markets Bayesian and Tailored Neural Network Methods for Medical Imaging (esp Brain Imaging and Retinal Imaging) Learning to Generate Music. Further information on projects, my research group, publications and a research blog can be found on the Bayeswatch group website: www.bayeswatch.com diff --git a/src/data/compiled_bios/5452.txt b/src/data/compiled_bios/5452.txt new file mode 100644 index 0000000000..e91808689b --- /dev/null +++ b/src/data/compiled_bios/5452.txt @@ -0,0 +1 @@ + Kartic Subr K.Subr@ed.ac.uk.edu (without '.edu') Royal Society Univ. Research Fellow, Instt. for Perception, Action and Behaviour, School of Informatics, Univ. of Edinburgh, UK. Office: IF 1.10A Phone: +44 (0)131 650 2936 Photographs Music Teaching Research Home Research Group Open PhD position Divakaran Divakaran Post doc Analysis of stochastic processes. Eliabeth Vargas PhD student (3rd year) Acoustic localization. Carson Vogt PhD student (3rd year) Lightfields, acquisition and rendering. Tatiana Lopez-Guevara PhD student (2nd year) Robotic manipulation of fluids. Alexandros Keros PhD student (1st year) Analysis of stochastic processes. Previous members Thomas Guerneve (PhD '18) Research Engineer, SeeByte . Teaching Computer Graphics, Semester I, Autumn 2017. course webpage . News Jan '18: Three papers accepted: JoFR, CGF (EG) and TVCG (IEEE VR). Dec '17: My EPSRC First Grant proposal has been funded. I am looking for a post-doc to start in April! Sep '17: Tatiana Lopez-Guevara will present our CORL 17 paper in Mountainview, CA. Aug '17: Thomas Guerneve will present our IROS 17 paper in Vancouver. Jun '17: Thomas Guerneve will present our Oceans 17 paper in Anchorage. May '17: I am looking for two PhD students. Apr '17: If you are looking for a post-doc position in Computer Vision and/or Machine Learning, please write to me. Mar '17: I have been awarded a Royal Society Global Challenge Grant for a project on Wildlife Conservation . Sep '16: I joined the faculty of the School of Informatics , University of Edinburgh. Jul '16: I am excited about presenting a SIGGRAPH course with Wojciech Jarosz and Gurprit Singh . Feb '16: Co-chaired Technical Papers track for ACM's I3D 2016 in Redmond, WA. Feb '16: Our JCGT paper was invited for presentation at ACM's I3D 2016 Nov '15: Our paper on guided simulation of ecological systems has been accepted to JCGT. May '15: Our online view-sampling algorithm for lightfield acquisition has been accepted to ICIP 2015 . Mar '15: Co-chaired ACM's I3D 2015 along with Li-Yi Wei Sep '14: I have received the University Research Fellowship from the Royal Society. 2006 Website.com . Valid CSS & XHTML . Template design by Arcsin Free Hit Counter diff --git a/src/data/compiled_bios/5453.txt b/src/data/compiled_bios/5453.txt new file mode 100644 index 0000000000..9c1a1313c4 --- /dev/null +++ b/src/data/compiled_bios/5453.txt @@ -0,0 +1 @@ + He Sun Home Papers Talks Teaching Students Links He Sun Senior Lecturer in Algorithms & Complexity Fellow of the Alan Turing Institute Room 5.03 School of Informatics The University of Edinburgh 10 Crichton Street Edinburgh EH8 9AB United Kingdom Email: h.sun@ed.ac.uk Last updated on September 16 2018 diff --git a/src/data/compiled_bios/5454.txt b/src/data/compiled_bios/5454.txt new file mode 100644 index 0000000000..5c9a47f190 --- /dev/null +++ b/src/data/compiled_bios/5454.txt @@ -0,0 +1 @@ + Toggle navigation Charles Sutton Publications Talks Software Advice News Charles Sutton ( Bio ) Research Scientist, Google AI Reader( =AssociateProfessor ) School of Informatics, University of Edinburgh Fellow, The Alan Turing Institute Office: IF 3.27 Voice (W): +44 (0) 131 651 5634 Skype: casutton Email: csutton@inf.ed.ac.uk Publications Prospective Students ( A word about CS rankings ) Advice for Researchers at Google Scholar Research Group Blog News September 2018 : I have moved to Mountain View as a research scientist at Google Brain! I maintain an affiliation at the University of Edinburgh and my research group at Edinburgh is still doing amazing work! August 2017 : We are starting an exciting new project on Artificial Intelligence for Data Analytics at the Alan Turing Institute. Co-investigators are with Chris Williams (Edinburgh), Zoubin Ghahramani (Cambridge), and Ian Horrocks (Oxford). Please get in touch if you would like to know more or to collaborate. July 2017 : I have finally been able to publish my old code for probabilistic inference in queueing networks onto Github. This is the code from Sutton and Jordan, 2011, Annals of Applied Statistics. Research My research concerns a broad range of applications of probabilistic methods for machine learning, including software engineering, natural language processing, computer security, queueing theory, and sustainable energy. Although these applications are disparate, they are connected by an underlying statistical methodology in probabilistic modelling and techniques for approximate inference in graphical models. My research strategy is based on the idea that sufficiently difficult applications motive the development of new methodology. I aim to develop new machine learning methods based on this interplay of theory and practice. I am part of a large machine learning group at Edinburgh. Here is some information for prospective students in the group. My position is funded through the Scottish Informatics and Computer Science Alliance . Recent Publications Please see my full list of publications , or my list of publications, sorted by topic . Here are a few recent highlights: A Survey of Machine Learning for Big Code and Naturalness .Miltiadis Allamanis, Earl T. Barr, Premkumar Devanbu and Charles Sutton. ACM Computing Surveys 51 (4). 2018. [ arXiv | bib ] @article{big-code-survey, author = {Allamanis, Miltiadis and Barr, Earl T. and Devanbu, Premkumar and Sutton, Charles}, journal = {ACM Computing Surveys}, month = {sep}, number = {4}, title = {A Survey of Machine Learning for Big Code and Naturalness}, volume = {51}, year = {2018} } Autoencoding Variational Inference for Topic Models .Akash Srivastava and Charles Sutton. In International Conference on Learning Representations (ICLR) . 2017. [ .pdf | arXiv | bib | discussion | source code ] @inproceedings{srivastava17lda, author = {Srivastava, Akash and Sutton, Charles}, booktitle = {International Conference on Learning Representations (ICLR)}, title = {Autoencoding Variational Inference for Topic Models}, year = {2017} } VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning .Akash Srivastava, Lazar Valkov, Chris Russell, Michael Gutmann and Charles Sutton. In Advances in Neural Information Processing Systems (NIPS) . 2017. [ .pdf | bib | abstract | code and data ] Deep generative models provide powerful tools for distributions over complicated manifolds, such as those of natural images. But many of these methods, including generative adversarial networks (GANs), can be difficult to train, in part because they are prone to mode collapse, which means that they characterize only a few modes of the true distribution. To address this, we introduce VEEGAN, which features a reconstructor network, reversing the action of the generator by mapping from data to noise. Our training objective retains the original asymptotic consistency guarantee of GANs, and can be interpreted as a novel autoencoder loss over the noise. In sharp contrast to a traditional autoencoder over data points, VEEGAN does not require specifying a loss function over the data, but rather only over the representations, which are standard normal by assumption. On an extensive set of synthetic and real world image datasets, VEEGAN indeed resists mode collapsing to a far greater extent than other recent GAN variants, and produces more realistic samples. @inproceedings{srivastava17veegan, author = {Srivastava, Akash and Valkov, Lazar and Russell, Chris and Gutmann, Michael and Sutton, Charles}, booktitle = {Advances in Neural Information Processing Systems (NIPS)}, title = {VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning}, year = {2017} } An Introduction to Conditional Random Fields .Charles Sutton and Andrew McCallum. Foundations and Trends in Machine Learning 4 (4). 2012. [ .pdf | bib | abstract ] Often we wish to predict a large number of variables that depend on each other as well as on other observed variables. Structured prediction methods are essentially a combination of classification and graphical modeling, combining the ability of graphical models to compactly model multivariate data with the ability of classification methods to perform prediction using large sets of input features. This tutorial describes conditional random fields, a popular probabilistic method for structured prediction. CRFs have seen wide application in natural language processing, computer vision, and bioinformatics. We describe methods for inference and parameter estimation for CRFs, including practical issues for implementing large scale CRFs. We do not assume previous knowledge of graphical modeling, so this tutorial is intended to be useful to practitioners in a wide variety of fields. @article{crftut:fnt, author = {Sutton, Charles and McCallum, Andrew}, journal = {Foundations and Trends in Machine Learning}, number = {4}, pages = {267373}, title = {An Introduction to Conditional Random Fields}, volume = {4}, year = {2012} } Finally, I have a collection of brief, tutorial-style research notes (very old). Research Group I collaborate with a wonderful group of students and researchers who have, for whatever reason, chosen to go under the name CUP: Charles's Uncertain People . We have a weekly reading group, to which all are welcome. A subgroup of CUP, called MAST (Machine learning for the Analysis of Source code Text) , focuses on machine learning for software engineering and programming languages. Our software in this area is available via the MAST Github group . Members of my research group Current and former members of my group at the CUP group web site. Projects Some of my research projects have dedicated pages. Machine Learning for Computer Programs Naturalize: Learning stylistic conventions around names in code Suggesting accurate method and class names using neural network language models Extreme source code summariation using deep learning Learn more at our living literature review of ML for code . Mining interesting stuff: Probabilistic machine learning for data mining and understanding large data sets. IDEAL: Home energy advice using machine learning But not all of my research fits into one of these web sites. To get the whole story, read all of my papers! Advisors, Mentors, Collaborators My graduate advisor was Andrew McCallum at the University of Massachusetts Amherst . I did a postdoc at the University of California, Berkeley working with Michael I. Jordan . I also collaborated with Dave Patterson , Randy Katz , Armando Fox , and Anthony Joseph in networking and systems. I participated in the RAD Lab , which focused on issues in the design and management of data center applications. I worked as a intern at Microsoft Research with Tom Minka . Other collaborators include Earl Barr (UCL), Zoubin Ghahramani (Cambridge), Max Welling (University of Amsterdam), Chris Pal (Ecole Polytechnique de Montral), Khashayar Rohanimanesh (UMass), Yanlei Diao (Ecole Polytechnique), Prashant Shenoy (UMass), Hanna Wallach (Microsoft Research), Peter Bodik (Microsoft Research), Rob Hall (TripAdvisor), Michael Sindelar (Uber). Personal Hobbies: I live with cats and fish, who don't interact as much as you might think. I've played a few computer games, mostly adventure games and RPGs. I play Go (, , ). If you would like to know where to play Go in person, try the American Go Association or the British Go Association . I enjoy cooking. When I was in university, I was a bit sillier than I am now, so I created a silly web site called al.oysi.us . The URL is easy to remember, because as I'm sure you're aware, Aloysius is my middle name. Warning: May not suitable for the silliness-challenged. Does this page seem a bit boring? That's because you haven't cracked the Easter egg yet. Made using Jekyll . See source . diff --git a/src/data/compiled_bios/5455.txt b/src/data/compiled_bios/5455.txt new file mode 100644 index 0000000000..1f781fddc9 --- /dev/null +++ b/src/data/compiled_bios/5455.txt @@ -0,0 +1 @@ + Austin Tate - Personal Information Welcome Director, Artificial Intelligence Applications Institute ( AIAI ) Professor of Knowledge-Based Systems, University of Edinburgh Coordinator for the Virtual University of Edinburgh ( Vue ) Academic member of Edinburgh Centre for Robotics Senior Visiting Research Scientist, Institute of Human & Machine Cognition ( IHMC ), Florida Senior Researcher, Initiative for Interstellar Studies ( I4IS ) Fellowships and Professional Qualifications: FREng , FRSE , FAAAI , FEurAI , FAISB , FWfMC , FBIS , FBCS, CEng , BA (Hons), MSc, PhD Research, development and use of planning and activity management systems: Task, process, plan and activity representation (e.g., and SPAR ); I-X : Intelligent Planning and Execution Agent Technology; Earlier planners: Traverser and Interplan , Nonlin , O-Plan ; Execution support, replanning and workflow; Inter-agent collaboration (e.g., CoAX , Co-OPR , CoAKTinG ); Advanced Knowledge Technologies ( AKT , OpenKnowledge ); Applications in manufacturing, spacecraft mission sequencing, FireGrid , search and rescue, coalition planning, etc.; Virtual Worlds ( Vue , Openvue , I-Room ); Helpful Environment ; Open Virtual Collaboration Environments ( OpenVCE.net ); More details ... University of Edinburgh Research Profile Wikipedia Entry Biography: Long , Shorter , Very Short , Very Very Short Short Video on "My Research in a Nutshell" (December 2011, 1'36) Stream: [ On Vimeo ] Download: [ MPEG-4 HD 1280x720 ] [ MPEG-4 SD 640x360 ] AI Planning Open On-line Course (MOOC, Delivered on Coursera from 2012-2016 ) Informatics Blog , Wordpress Blog Backup Unity Connect Profile Publications: Early Planners (Traverser, Interplan, Nonlin) (1983-1999) O-Plan (1983-1999) I-X (2000-present) Frequently Asked Questions (FAQs) Are You a Computer User? Gerry Anderson Interests , Supercar , Fireball XL5 Personal Interests , Sea City , Entry Link , Short Entry ORCID , DBLP: Computer Science Bibliography Virtual Worlds Avatar - Ai Austin , Flickr "Knowledge is wonderful, but Imagination is even better" - Albert Einstein "'Stick up for something' - thats a wonderful way of saying what science is all about" - John Wheeler (Princeton University, the scientist who explained quasars and named black holes) "Scientists study the world as it is, engineers create the world that never has been" - Theodore von Karman "You need to wake up every morning with a challenge that excites you" - Rob Milne a few months before he died on his summit attempt on Mt. Everest "Getting as far as we can is the best that we can do" - Edward Witten (Princeton University, investigator of Superstring and M Theory) "Remember, you belong to Nature, not it to you" - Grey Owl "The world will never starve for want of wonders, but for want of wonder" - G.K.Chesterton. "Obviously we are not going to limit ourselves to the Solar System, as the Solar System is a very small part of the whole Universe" - Patrick Moore introduction to The Sky at Night Prof. Austin Tate Artificial Intelligence Applications Institute School of Informatics The University of Edinburgh Informatics Forum, Crichton Street Edinburgh EH8 9AB, UK E-mail: a.tate@ed.ac.uk Skype: austintate Twitter: @batate Avatar: Ai Austin Tel: +44 131 651 3222 diff --git a/src/data/compiled_bios/5456.txt b/src/data/compiled_bios/5456.txt new file mode 100644 index 0000000000..091771a8c8 --- /dev/null +++ b/src/data/compiled_bios/5456.txt @@ -0,0 +1 @@ + Univ: Inf: Henry S. Thompson's Home Page HST travel plans Accelerated Natural Language Processing (ANLP) , Winter Term 2018 p Foundations of Natural Language Processing (FNLP) , Spring Term 2019 Contacting me (including PGP key) Index of all documents on this site of potential general interest Context I'm based in the Institute for Language, Cognition and Computation of the School of Informatics at the University of Edinburgh , with the title "Professor of Web Informatics". I'm a Fellow of the Alan Turing Institute . I'm interested in the Architecture of the Web, Markup Languages, the Foundations of Cognitive Science, as well as Computational Linguistics , Data-Intensive Linguistics, Language Corpora and Corpus Management. Much of my recent work originates in my membership in the W3C Technical Architecture Group between 2005 and 2012 and my work within W3C working groups: Making sense of how the Web works (and doesn't work), with particular reference to the nature of URIs; In particular, I recently spent a lot of time developing tools and techniques for studying the Web empirically, based on both static ( very large-scale web datasets) and dynamic (proxy logs) evidence; Developing XML and Web standards and related tools (see below); I was involved in the W3C SGML Working Group, whose work led to the XML recommendation: Extensible Markup Language (XML) , and was a member of the XML Core , XML Schema and XML Processing Model working groups; I also contribute to IETF work in the above areas. If you're interested in pursuing an MSc or PhD in one of these areas, please see the Informatics postgraduate prospectus and review my entries in the ILCC PhD topics pages , then get in touch with me. Outside my University time I do consulting and business mentoring via Markup Systems . XML Tools (LT XML, XED and XSV) Version 1.2 of LT XML , a fully compliant XML tool kit and API for WIN32 and UN*X platforms, is available. The beta of XED, my XML document instance editor is still available. The current version of XSV , an XML Schema validator, is available via a web interface. An add-on to Python's SAX functionality providing a simple 'pull'-style interface PullFromSAX.py The beta version of xslj , an old (not-standard) XSL to DSSSL translator is still available. Address Postal: Henry S. Thompson 4.22 Informatics Forum 10 Crichton Street Edinburgh EH8 9AB SCOTLAND Email: ht@inf.ed.ac.uk PGP key: HST's GnuPG Public Key Tel: +44 (0)131 650 4440 Mobile: +44 (0)7866 471 388 Fax: +44 (0)131 651 1426 Photo (if you must) My wife Catharine runs the OPENspace Research Centre . We intend to develop ShutYourFacebook.com as a website for promoting outdoor activities. We are fortunate to have inherited access to a holiday home on the coast of Maine, which we make available to rent . I'm starting to move some material to a personal server The following sections are of historical interest only at this point -- I haven't worked on this stuff for years. XML Linking Architectures I helped launch the use of standoff markup to improve annotation management in complex datasets: the underlying techonology is described in my SGML Europe '97 paper . My presentation to the COCOSDA meeting in Rhodes discusses the application of this technology to spoken language transcripts, available as Powerpoint v.7 version , Powerpoint v.4 version and quick and dirty HTML from Powerpoint outline . DSSSL Tools (DSC) DSC version 2.0, an online syntax checker, normaliser and implementation framework for DSSSL, based on embedding a full R4RS Scheme interpreter in James Clark's SP parser, is available for downloading . For more information, see the release announcement , which describes dsc in more detail. Version 2.0, as demonstrated at SGML/XML '97 in November 1997, provides a much richer implementation framework than previous versions, including the full query language and the transformation language. DSSSL users might find my index to DSSSL procedures by prototype useful. I've also produced a summary of information about the copyright status of the DSSSL standard and pointers to various electronic versions thereof. For DSSSL/SGML implementation mavens, heres an illustrated example of an SGML source grove. diff --git a/src/data/compiled_bios/5457.txt b/src/data/compiled_bios/5457.txt new file mode 100644 index 0000000000..5e197fe02c --- /dev/null +++ b/src/data/compiled_bios/5457.txt @@ -0,0 +1 @@ + University Homepage School Homepage School Contacts School Search Ivan Titov Position Reader in Natural Language Processing Roles Member of Institute for Language, Cognition and Computation Fellowship of Full Session [Sem 1 and Sem 2] Email Address Office,Telephone IF-3.28,+44 (0) 131 651 3092 Publications - Edinburgh Research Explorer Home : People Informatics Forum, 10 Crichton Street, Edinburgh, EH8 9AB, Scotland, UK Tel: +44 131 651 5661, Fax: +44 131 651 1426, E-mail: school-office@inf.ed.ac.uk Database generated page, please contact us with any comments or corrections. Logging and Cookies Unless explicitly stated otherwise, all material is copyright The University of Edinburgh diff --git a/src/data/compiled_bios/5458.txt b/src/data/compiled_bios/5458.txt new file mode 100644 index 0000000000..90ecdb2fb6 --- /dev/null +++ b/src/data/compiled_bios/5458.txt @@ -0,0 +1 @@ + University Homepage School Homepage School Contacts School Search Steve Tonneau Position Lecturer in Robotics Roles Member of Institute of Perception, Action and Behaviour Personal Tutor of Informatics UG Students Project supervision of Honours Project Project supervision of MSc Dissertation Email Address Office,Telephone BC-1.16,+44 (0) 131 650 1000 Home : People Informatics Forum, 10 Crichton Street, Edinburgh, EH8 9AB, Scotland, UK Tel: +44 131 651 5661, Fax: +44 131 651 1426, E-mail: school-office@inf.ed.ac.uk Database generated page, please contact us with any comments or corrections. Logging and Cookies Unless explicitly stated otherwise, all material is copyright The University of Edinburgh diff --git a/src/data/compiled_bios/5459.txt b/src/data/compiled_bios/5459.txt new file mode 100644 index 0000000000..394611f028 --- /dev/null +++ b/src/data/compiled_bios/5459.txt @@ -0,0 +1 @@ + Nigel's Homepage Publications - Edinburgh Research Explorer Research and PhD Study Teaching and Admin Nigel Topham Professor of Computer Systems School of Informatics , The University of Edinburgh Deputy Head of School Director of Graduate School Research interests My primary research area is computer architecture, particularly the development of next-generation microarchitectures for high-performance embedded systems. My current research projects focus on the automated synthesis of processors, and the interactions between the synthesis of architecture, microarchitecture and physical design. Prospective Research Students If you are interested in studying for a PhD in computer architecture or related topics, please contact me by email. When you are ready to apply for a PhD, please use the online application form . Contact Tel. +44 (0)131 650 5122 Fax. +44 (0)131 667 7209 email: Call Chat Postal address School of Informatics, Room 1.11, Informatics Forum , 10 Crichton Street, Edinburgh, EH8 9AB, Scotland, UK. Home : Publications : Research : Teaching : School of Informatics, Appleton Tower, Crichton Street, Edinburgh, EH8 9LE, Scotland, UK Tel: +44 131 650 2690, Fax: +44 131 651 1426, E-mail: hod@inf.ed.ac.uk Please contact our webadmin with any comments or corrections. Unless explicitly stated otherwise, all material is copyright The University of Edinburgh diff --git a/src/data/compiled_bios/546.txt b/src/data/compiled_bios/546.txt new file mode 100644 index 0000000000..6fd229b5c3 --- /dev/null +++ b/src/data/compiled_bios/546.txt @@ -0,0 +1 @@ +Rebecca Willett ProfessorDepartments of Computer Science and Statistics Email: willett@uchicago.edu Phone: 773-702-6614 Office: JCL 321 Website: https://voices.uchicago.edu/willett/ Biography Rebecca Willett is a Professor of Statistics and Computer Science at the University of Chicago. Her research is focused on machine learning, signal processing, and large-scale data science. She completed her PhD in Electrical and Computer Engineering at Rice University in 2005 and was an Assistant then tenured Associate Professor of Electrical and Computer Engineering at Duke University from 2005 to 2013. She was an Associate Professor of Electrical and Computer Engineering, Harvey D. Spangler Faculty Scholar, and Fellow of the Wisconsin Institutes for Discovery at the University of Wisconsin-Madison from 2013 to 2018. Willett received the National Science Foundation CAREER Award in 2007, is a member of the DARPA Computer Science Study Group, and received an Air Force Office of Scientific Research Young Investigator Program award in 2010. Willett has also held visiting researcher or faculty positions at the University of Nice in 2015, the Institute for Pure and Applied Mathematics at UCLA in 2004, the University of Wisconsin-Madison 2003-2005, the French National Institute for Research in Computer Science and Control (INRIA) in 2003, and the Applied Science Research and Development Laboratory at GE Healthcare in 2002. Research My research interests include signal processing, machine learning, and large-scale data science. In particular, I have studied methods to leverage low-dimensional models in a variety of contexts, including when data are high-dimensional, contain missing entries, are subject to constrained sensing or communication resources, correspond to point processes, or arise in ill-conditioned inverse problems. This work lies at the intersection of high-dimensional statistics, inverse problems in imaging and network science (including compressed sensing), learning theory, algebraic geometry, optical engineering, nonlinear approximation theory, statistical signal processing, and optimization theory. My group has made contributions both in the mathematical foundations of signal processing and machine learning and in their application to a variety of real-world problems. I have active collaborations with researchers in astronomy, materials science, microscopy, electronic health record analysis, cognitive neuroscience, precision agriculture, biochemistry, and atmospheric science. diff --git a/src/data/compiled_bios/5460.txt b/src/data/compiled_bios/5460.txt new file mode 100644 index 0000000000..29beb1326a --- /dev/null +++ b/src/data/compiled_bios/5460.txt @@ -0,0 +1 @@ + Hobbies Teaching Publications About Me Informatics Forum 5.23 10 Crichton Street School of Informatics University of Edinburgh Edinburgh, Scotland kvaniea [at] inf.ed.ac.uk Public Key CV / rsum Free/busy calendar Kami Vaniea (van-yay) I am a Lecturer in Cyber Security and Privacy at the University of Edinburgh's School of Informatics. My research interests are in the human factors of security and privacy . The goal of my work is to make security and privacy technologies more accessible for a wide range of users including end users, developers, and system administrators. My recent projects include: understanding barriers to software update installation, privacy concerns of content viewers, permission setting privacy across different cultures, and helping small app designers create secure health apps. I am currently: Head of the Technology Usability Lab In Privacy and Security (TULIPS) Member of the Security and Privacy group, which is in turn part of Edinburgh's Academic Center of Excellence in Cyber Security Research (ACE-CSR) Member of the Institute for Language Cognition and Computation Associated with the Laboratory for Foundations for Computer Science Associated with Design Informatics I was previously an Assistant Professor in the School of Informatics and Computing at Indiana University and a post doctorial researcher in the Media and Information department at Michigan State University. My PhD is from Carnegie Mellon University's Computer Science Department and my thesis looked at the human factors of access control systems. Students Current PhD Students Sara S. Albakry Adam Jenkins Kholoud Althobaiti Andrew Faulds Mohammad Tahaei Dilara Kekulluoglu Past Students A full list of past Masters, Undergraduate, and Intern students along with their projects can be found on the TULIPS Student Projects page. Yasmeen Rashidi Teaching Usable Security and Privacy Past Teaching Computer Security Human Computer Interaction I330: Legal and Social Aspects of Security I400/I590: Today's Privacy Challenges diff --git a/src/data/compiled_bios/5461.txt b/src/data/compiled_bios/5461.txt new file mode 100644 index 0000000000..1fc5da8d3c --- /dev/null +++ b/src/data/compiled_bios/5461.txt @@ -0,0 +1 @@ + University Homepage School Homepage School Contacts School Search Vesko Velichkov Position Lecturer in Security and Privacy Roles Member of Laboratory for Foundations of Computer Science Email Address Office,Telephone IF-3.47 Home : People Informatics Forum, 10 Crichton Street, Edinburgh, EH8 9AB, Scotland, UK Tel: +44 131 651 5661, Fax: +44 131 651 1426, E-mail: school-office@inf.ed.ac.uk Database generated page, please contact us with any comments or corrections. Logging and Cookies Unless explicitly stated otherwise, all material is copyright The University of Edinburgh diff --git a/src/data/compiled_bios/5462.txt b/src/data/compiled_bios/5462.txt new file mode 100644 index 0000000000..0cf18bae7d --- /dev/null +++ b/src/data/compiled_bios/5462.txt @@ -0,0 +1 @@ + Professor Sethu Vijayakumar FRSE Professor of Robotics & Microsoft Research-RAEng Chair Home Research Publications Videos Teaching Outreach + Media Contact U. Edinburgh Informatics Professor Sethu Vijayakumar FRSE holds a Personal Chair in Robotics with in the School of Informatics at the University of Edinburgh and is the Director of the Edinburgh Centre for Robotics and co-Programme Director of AI for The Alan Turing Institute . Since 2007, he holds the Senior Research Fellowship of the Royal Academy of Engineering , co-funded by Microsoft Research and is also an Adjunct Faculty of the University of Southern California (USC) , Los Angeles and a Visiting Research Scientist at the ATR Computational Neuroscience Labs , Kyoto-Japan . He has a Ph.D.(1998) in Computer Science and Engineering from the Tokyo Institute of Technology . Prof. Vijayakumar previously held the position of the Director of IPAB (2005-2015), Reader (2007-2010) and Lecturer (2003-2007) at the University of Edinburgh, a Research Assistant Professor ('01-'03) at USC and a Staff Scientist ('98-'00) at the RIKEN Brain Science Institute, Tokyo . His research interest spans a broad interdisciplinary curriculum involving basic research in the fields of robotics, statistical machine learning, motor control, planning and optimization in autonomous systems and computational neuroscience . His latest project (2016) involves a collaboration with NASA Johnson Space Centre on the Valkyrie humanoid robot being prepared for unmanned robotic pre-deployment missions to Mars. See here for a list of his publications [ Google Scholar ]. Sethu is a keen science communicator and in recent years, has been active in conceptualising, producing and presenting several public outreach events to engage with the general public and children on all things science and engineering. He is a Fellow of the Royal Society of Edinburgh and the winner of the 2015 Tam Dalyell Prize for Excellence in Engaging the Public with Science. He is the judge on the latest edition of BBC Robot Wars , a hugely popular technology show as well as involved with the launch of the BBC micro:bit coding initiative. 2018 Robotics and Artificial Intelligence (RAI) Hubs : We have been successful in winning three EPSRC funded RAI hubs focusing on real world challenges in the Offshore (Offshore Robotics for Certification of Assets ( ORCA )), Space ( FAIR-SPACE ) and Nuclear ( NCNR ) domains -- with overall investment of over 32M across our academic partners (Heriot-Watt, Oxford, Imperial, Surrey, Liverpool etc.). More details here and open positions below. Postdoctoral Researchers: We have several senior Research Fellowships (PDRAs: UE07 Spine 34, 3 yrs) starting immediately, aimed at candidates who have a PhD (or submitted), with a world leading track record in the areas of motor control and multi-contact motion planning , humanoid and quadruped locomotion , shared autonomy interfaces and optimal control in dynamic environments . Deadline: June 1, 2018 ( Apply ) We are also hiring a Senior Lab Manager (UE08, Spine 37, 3 yrs), with skills in hardware and software maintenance. Studentships : Are you passionate about Robotics? Interested in a fully funded PhD with us on topics such as Machine Learning for Robotics, Humanoid and Anthropomorphic Robot planning, sensing and control, Prosthetics and Human Motor Control ? Would you like to work on exciting robotic platforms such as the UoE-NASA Valkyrie Humanoid ? [ News Coverage ] [Prospective PhD Students apply here -- fully funded 4-year studentships] June 2014: Our paper ' Robots Driven by Compliant Actuators: Optimal Control under Actuation Constraints ' has been awarded the 2013 IEEE Transactions on Robotics Best Paper Award [ News ] [ Paper ] [ IEEE site ] Edinburgh Centre for Robotics (2014): I direct our new Centre for Excellence in Robotics at Edinburgh, in collaboration with Heriot-Watt University, secured through a 11.5M investment from EPSRC [ news ] [ EPSRC announcement ] that includes the EPSRC Centre for Doctoral Training (CDT) in Robotics and Autonomous Systems to train over 65 PhD students in the area . [BBC News Coverage of ECR, March 2015] Conferences : I was the publicity chair for the R:SS 2015 in Rome. I have served as the Program/Area Chairs for various editions of R:SS, NIPS and ICML. Outreach : Please look at my Outreach and Media pages for public engagements, keynotes and media coverage. 2007 : I have been awarded the Microsoft / Royal Academy of Engineering Senior Research Fellowship. Check out our research home since June 2008: The Informatics Forum, in this video . Edinburgh beautiful sights ! Details of my research group, the Statistical Learning & Motor Control (SLMC) lab can be accessed here . Selected Publications (for full list, see here ) Theodorous Stouratis, Iordanis Chatzinikolaidis, Michael Gienger and Sethu Vijayakumar, Dyadic collaborative Manipulation through Hybrid Trajectory Optimization, Proc. Conference on Robot Learning (CoRL 2018) , Madrid (2018). [ pdf ] [ link ] [ video ] [ CoRL 2018 Best Paper Award Finalist ] Yiming Yang, Wolfgang Merkt, Vladimir Ivan, Zhibin Li and Sethu Vijayakumar, HDRM: A Resolution Complete Dynamic Roadmap for Real-Time Motion Planning in Complex Environments, IEEE Robotics and Automation Letters, vol. 3(1), pp. 551-558 (2018) [ pdf ] [ DOI ] [ video ] Jun Nakanishi, Andreea Radulescu, David Braun and Sethu Vijayakumar, Spatio-temporal Stiffness Optimization with Switching Dynamics , Autonomous Robots, vol. 41(2), pp. 273-291 (2017). [ pdf ][ DOI ] Wolfgang Merkt, Yiming Yang, Theodoros Stouraitis, Christopher Mower, Maurice Fallon and Sethu Vijayakumar, Robust Shared Autonomy for Mobile Manipulation with Continuous Scene Monitoring , Proc. 13th IEEE Conference on Automation Science and Engineering , Xian, China (2017).[ pdf ] [ video ] [ First Prize at Robots for Resilient Infrastructure Challenge 2017, Leeds, UK] ( coverage ) David Braun, Florian Petit, Felix Huber, Sami Haddadin, Patrick van der Smagt, Alin Albu-Schffer and Sethu Vijayakumar, Robots Driven by Compliant Actuators: Optimal Control under Actuation Constraints , IEEE Transactions on Robotics (IEEE T-RO) , 29(5), pp. 1085-1101 (2013). [ pdf ] [ 2013 IEEE Transactions on Robotics Best Paper Award ] Konrad Rawlik, Marc Toussaint and Sethu Vijayakumar, On Stochastic Optimal Control and Reinforcement Learning by Approximate Inference , Proc. Robotics: Science and Systems (R:SS 2012) , Sydney, Australia (2012). [ pdf ] [ R:SS 2012 Best Paper Award Runner-up ] Sethu Vijayakumar, Aaron D'Souza and Stefan Schaal, Incremental Online Learning in High Dimensions , Neural Computation, vol. 17, no. 12, pp. 2602-2634 (2005). [ pdf ] [ LWPR software ] [see next for usage guide] Stefan Klanke, Sethu Vijayakumar and Stefan Schaal, A Library for Locally Weighted Projection Regression , Journal of Machine Learning Research (JMLR) , vol. 9, pp. 623--626 (2008). [ pdf ][ DOI ] Stefan Schaal, Chris Atkeson and Sethu Vijayakumar, Real time robot learning with locally weighted statistical learning , Proc. International Conference on Robotics and Automation (ICRA2000), San Francisco, USA, vol.1, pp.288-293,(2000). [ pdf ] [ ICRA 2000 Best Paper Award Finalist ] Djordje Mitrovic, Stefan Klanke and Sethu Vijayakumar, Learning Impedance Control of Antagonistic Systems based on Stochastic Optimisation Principles , International Journal of Robotic Research (IJRR) , Vol. 30, No. 5, pp. 556-573 (2011). [ pdf ][ DOI ] Sethu Vijayakumar and Hidemitsu Ogawa, A Functional Analytic Approach to Incremental Learning in Optimally Generalizing Neural Networks , Proc. IEEE International Conference on Neural Networks (ICNN '95), Australia, vol. 2, pp.777-782 (1995).[ DOI ] [ ICNN 1995 Best Student Paper Award ] Ian Saunders and Sethu Vijayakumar, The Role of Feed-Forward and Feedback Processes for Closed-Loop Prosthesis Control , Journal of Neuroengineering and Rehabilitation (JNER) , 8 :60 (2011). [ pdf ][ DOI ] Dmitry Zarubin, Vladimir Ivan, Marc Toussaint, Taku Komura and Sethu Vijayakumar, Heirachical Motion Planning in Topological Representations , Proc. Robotics: Science and Systems (R:SS 2012) , Sydney, Australia (2012). [ pdf ] [ video ] Andreaa Radulescu, Matthew Howard, David Braun and Sethu Vijayakumar, Exploiting Variable Physical Damping in Rapid Movement Tasks , Proc. 2012 IEEE ASME International Conference on Advanced Intelligent Mechatronics , Taiwan (2012). [ pdf ][ video ] [ AIM 2012 Best Student Paper Award Finalist ] Timothy Hospedales and Sethu Vijayakumar, Bayesian Structure Inference for Multisensory Scene Understanding , IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 30, no. 12, pp. 2140-2157 (2008). [ pdf ][ DOI ] Sebastian Bitzer and Sethu Vijayakumar, Latent Spaces for Dynamic Movement Primitives , Proc. 9th IEEE RAS International Conference on Humanoid Robots (Humanoids 2009) , Paris, France (2009). [ pdf ] Djordje Mitrovic, Stefan Klanke, Rieko Osu, Mitsuo Kawato and Sethu Vijayakumar, A Computational Model of Limb Impedance Control based on Principles of Internal Model Uncertainty , PLoS ONE , Vol. 5, No. 10 (2010). [ pdf ][ DOI ] Sethu Vijayakumar, Aaron D'Souza, Tomohiro Shibata, Jorg Conradt and Stefan Schaal, Statistical Learning for Humanoid Robots , Autonomous Robots , Vol. 12, No.1, pp. 55-69 (2002). [ pdf ] Djordje Mitrovic, Stefan Klanke and Sethu Vijayakumar, Adaptive Optimal Feedback Control with Learned Internal Dynamics Models , In: O. Sigaud and J. Peters (eds.): From Motor Learning to Interaction Learning in Robots , SCI 264, pp. 65-84, Springer-Verlag (2010). [ pdf ] Graham McNeill and Sethu Vijayakumar, Part-based Probabilistic Point Matching Using Equivalence Constraints , Proc. Advances in Neural Information Processing Systems (NIPS '06), Vancouver (2006). [ pdf ] Sethu Vijayakumar and Hidemitsu Ogawa, RKHS based Functional Analysis for Exact Incremental Learning Neurocomputing , Vol.29, No.1-3, pp.85-113, Elsevier Science(1999). [ pdf ] diff --git a/src/data/compiled_bios/5463.txt b/src/data/compiled_bios/5463.txt new file mode 100644 index 0000000000..6bb0768a7a --- /dev/null +++ b/src/data/compiled_bios/5463.txt @@ -0,0 +1 @@ + Philip Wadler's home page Contact details Wadler's Blog Towards Independence @PhilipWadler PLFA Links ABCD Haskell JFP FP in the real world SPLS Computational Thinking and Outreach Philip Wadler Visiting CWI Amsterdam Read the reviews! Projects Interested in applying for a PhD or Internship? From Data Types to Session Types: A Basis for Concurrency and Distribution , an EPSRC Programme Grant, joint with Simon Gay, Glasgow, and Nobuko Yoshida, Imperial. TypeScript: The Next Generation funded by a Microsoft Research PhD Scholarship . Centre for Doctoral Training in Pervasive Parallelism , studentships available for cohort starting September 2020. Journal of Financial Technology , member of editorial board. Please consider submitting. Our second issue will be a special issue devoted to formal methods. Currently: Professor of Theoretical Computer Science, Laboratory for Foundations of Computer Science , School of Informatics , University of Edinburgh (2003). Senior Research Fellow, Area Leader Programming Languages, IOHK . Formerly: ACM Special Interest Group on Programming Languages , Chair (20092012), Past Chair (20122015). Avaya Labs , Basking Ridge, Researcher (20002003). Bell Labs 1127 , Lucent Technologies , Murray Hill, Researcher (19962000). Glasgow University , Professor (19931996), Reader (19901993), Lecturer (19871990). University of Sydney , Guest professor (JanFeb 1991). University of Copenhagen , Guest professor (Aug 1989). Oxford University , Postdoc (19831987) Chalmers Tekniska Hgskola , Gteborg, Visiting Fellow (Sep 1986Feb 1987). Carnegie-Mellon University , Graduate student (19771982) Stanford University , Undergraduate (19731977) For details see my vita or short biography . Upcoming events ABCD , London, 1718 December 2018. PI. POPL (and HOPL IV PC), Lisbon, 1220 January 2019. BCTCS , Durham, 1517 April 2019. Keynote speaker. Research interests Concurrency. A recent result shows how to extend the Curry-Howard correspondence to session types. With Simon Gay and Nobuko Yoshida , I am leading the EPSRC programme grant From Data Types to Session Types: A Basis for Concurrency and Distribution (ABCD) ( EPSRC ). Agda. With Wen Kokke I coauthored the textbook, Programming Language Foundations in Agda . A paper describing the book appeared in SBMF 2018, and won the prize for best paper. Blame. The blame calculus , developed with Robby Findler , Jeremy Siek , and Amal Ahmed , integrates different type systems via casts. Casts may mediate between dynamic and static types, or between simple and dependent types. The key result is that when a cast fails, blame must lie on the less precise side of the cast. Links. I led the team that developed Links a programming language for web application development. My collaborators include Ezra Cooper , Sam Lindley , and Jeremy Yallop . Our work on formlets has been included in Intellifactory Web Sharper , and in libraries for Common Lisp , F# , JavaScript , Haskell , Racket , and Scala . XML. I represented Avaya on the W3C XML Query working group, which designed XQuery a query language for XML . My work on XQuery was done in close collaboration with Jerome Simeon and Mary Fernandez , who have an implementation of XQuery called Galax . I ran a workshop on XML and Data Binding . I formerly served on the W3C XSL working group, and I wrote a simple formal model for pattern matching in XSLT. Java. With Gilad Bracha , Martin Odersky , and David Stoutamire , I designed GJ , an extension of Java that incorporates generic types. With Benjamin Pierce and Atsushi Igarashi , I designed Featherweight Java , a small formal model of Java, comparable in simplicity to lambda calculus. With Maurice Naftalin I wrote Java Generics and Collections , published by O'Rielly. Functional languages . I was a principal designer of Haskell . With Simon Marlow, I developed a type tool for Erlang . I am a founding member of IFIP WG 2.8 Functional Programming , and served as editor-in-chief of the Journal of Functional Programming . Logic and programming . I occasionally write and speak on the history of logic and programming languages , most recently a paper on Propositions as Types , which appeared in CACM and was presented at Strange Loop ( video ). At The Stand in Edinburgh, I performed a routine on Computability ( video ). Awards SIGPLAN Distinguished Service Award , 2016. ACM Fellow , 2007. Fellow Royal Society of Edinburgh , 2005. Wolfon-Royal Society Research Merit Award , 20042009. EUSA Teaching Awards , Overall High Performer, runner up, 2009. Most Influential POPL Paper Award 2003 (for 1993), Imperative functional programming , by Simon Peyton Jones and Philip Wadler. Recent events Plutusfest , Edinburgh, 11 December 2018. Keynote speaker. SBMF , Salvador, 2830 November 2018. Programming Language Foundation in Agda ( key , pdf ) and Panel Speaker ( key , pdf ). Hughes 60, Chalmers, Gothenburg, 17 October 201 ( key , pdf ). Strange Loop , St Louis, 2728 September 2018. Categories for the Working Hacker ( key , pdf ). ICFP , St Louis, 2329 September 2018. Member of ERC & attending. LambdUp , Prague, 13 September 2018. Keynote speaker. Curry On & ECOOP, 1521 July 2018. Attending. Facebook, 20 June 2018. WG2.8, Asilomar, 1015 June 2018. Attending. 2nd Workshop on Trusted Smart Contracts (WTSC) , 12 March 2018, Santa Barbara Beach Resort, Curacao. Programme committee. Sysmics Workshop , Vienna, 2628 February 2018, Propositions as Sessions: pdf , pdf Lambda Days , Krakow, 2223 February 2018, Categories for the Working Hacker, pdf IOHK School, Barbados, 59 February 2018. University of Lisbon, 23 January 2018, pdf , pdf . IOHK annual meeting, Lisbon, 1520 January 2018, video . Principles of Programming Languages (POPL) , Los Angeles, 813 January 2018. Programme committe & coauthor of Refinement Reflection: Complete Verification with SMT . On sabbatical in Rio de Janeiro, 26 December 201711 July 2018. Google X, 16 November 2017. Quoted Domain-Specific Languages: pdf . QCon San Francisco , 1315 November 2017. Presenting Category Theory for the Working Hacker : key , pdf . Apple Computer, 10 November 2017: key , pdf . International Conference on Functional Programming (ICFP) , Oxford, 39 September 2017. Coauthor of Gradual Session Types & Theorems for Free for Free . Domain-Specific Language Design and Implementation (DSLDI) , Vacouver, Sun 22 October 2017. Programme committee. Generative Programming: Concepts and Experience (GPCE) , Vancouver, October 2017. Programme committee. Recent Advances in Concurrency and Logic (RADICAL) , colocated with QONFEST, Berlin, 4 September 2017. Programme committee. WG 2.8 meeting , Edinburgh, Sunday 11--Friday 16 June 2017. Local host. QCon So Paulo , 2426 April 2017. Presenting Theorems for Free, Blame for All . Strachey 100 , 1819 November 2016, Oxford. Speaker: pdf , keynote . Data Science CDT, 20 October 2016 ( slides ). Papers We Love , John Reynolds, Definitional Interpreters for Higher-Order Languages, 18 October 2016, Remote Meetup ( slides pdf , slides key , links to papers , video ). Lambda World , 1 October 2016, Cadiz. Keynote ( slides ). Programming Language Mentoring Workshop (PLMW) , colocated with ICFP 18 September 2016, Nara. Speaker ( slides ). International Summer School on Metaprogramming , 812 August 2016, Cambridge. Lecturer ( slides ). Coherence Generalises Duality: a logical explanation of multiparty session types , Marco Carbone, Sam Lindley, Fabrizio Montesi, Carsten Schrmann, Philip Wadler, CONCUR , Quebec, August 2016. BETTY Summer School , 27 June1 July 2016, Limassol, Cyprus; lecturer ( slides1 , slides2 , paper1 , paper2 ). ACSD , 2224 June 2016, Torun; keynote speaker. Joy of Coding , 17 June 2016, De Doelen, Rotterdam; keynote speaker ( slides pdf , video ). Papers We Love , John Reynolds, Definitional Interpreters for Higher-Order Programming Languages, 7 June 2016, Skills Matter, London ( slides pdf , slides key , links to papers , video ). Stanford EE380 , Palo Alto, 11 May 2016, Propositions as Types ( slides ). CHI , 712 May 2016, San Jose, SIG on Usability of Programming Languages ( programminglanguageusability.com ). Facebook , Mountain View, 5 May 2016, Everything old is new again ( slides ). IBM Watson, Yorktown, 2 May 2016, Everything old is new again , ( slides ). Paul Hudak Symposium , Yale, 29 April 2016; speaker ( slides pdf , slides keynote ). Everything old is new again , 25 April 2016, Chalmers, Gothenburg, Sweden, ( slides ). Wadlerfest 1112 April 2016, Edinburgh ( slides ). LFCS30 13 April 2016, Edinburgh ( slides ). Colloquium Polaris , 25 February 2016, Lille; presenting Propositions as Types (cancelled). Lambda Days , 1819 February 2016, Krakow; keynote speaker ( slides ). POPL and PEPM , 1723 January 2016, St Petersberg, Florida; presenting Everything Old is New Again at PEPM. Propositions as Types , CACM, December 2015. Code Mesh , London, 24 November 2015; keynote speaker. Strange Loop , St Louis, 2426 September 2015; presenting Propositions as types ( video ), Everything old is new again ( video ). ESSLLI , Barcelona, 37 Aug 2015, lecturer, presenting Propositions as Types . Summer School on DSL Design and Implementation , Lausanne, 1217 July 2015, lecturer, presenting QDSL , video . Curry On , Prague, 610 July 2015, invited speaker, Curry On slides , video , DSLDI slides . PLDI , Portland, 1517 June 2015, presenting Blame and coercion: Together again for the first time . Pervasive Parallelism CDT event , Edinburgh, 23 June 2015, keynote speaker. IFIP WG 2.8 ( local arrangements ), Kefalonia, 2429 May 2015, member. SNAPL , Asilomar, 36 May 2015, member of program committee and presenting A complement to blame . Computability , The Stand, Edinburgh, 28 April 2015. POPL , Mumbai, 1118 January 2015, external review committee. PlanBig , Dagstuhl, 1419 December 2014. The Third International Conference on Parallel, Distributed and Grid Computing (PDGC) , Himachal Pradesh, 1113 December 2014, keynote speaker. Imperial College Computing Student Workshop , London, 2526 September 2014, keynote speaker, video . ABCD Meeting , Arran, 911 September 2014. ICFP 2014 , Gteborg, 16 September 2014. Erlang , workshop colocated with ICFP, Gteborg, 5 September 2014, program committee. BEAT , workshop colocated with CONCUR, Rome, 1 September 2014, program committee. Advances in Programming Languages , Heriot Watt, 1922 August 2014, lecturer. Summer School on Trends in Computing (SSTiC) , Tarragona, 711 July 2014, keynote speaker. You and Your Research and The Elements of Style slides blog Church's Coincidences/Propositions as Types slides paper A Practical Theory of Language-Integrated Query slides paper Propositions as Sessions slides paper BETTY Summer School , Lovran, Croatia, 30 June4 July 2014, instructor. Software Contracts for Communication, Monitoring, and Security , NII Shonan Meeting, Shonan Village, 2630 May 2014, co-organizer (slides of blame tutorial ). CoCo , Loch Lomond, 8 May 2014 (slides on ABCD ). ESOP , Grenoble, 711 April 2014, program committee. Functional Programming eXchange , London, 14 March 2014, invited speaker. Off the Beaten Track (OBT) , co-located with POPL, San Diego, 2014, program committee. Programming Language Mentoring Workshop (PLMW) , co-located with POPL, San Diego, 2014, invited speaker, plmw-sandiego.pdf . YOW! 2013 Australia Developers Conference, Melbourne 56 Dec, Brisbane 910 Dec, Sydney 1213 Dec 2013, keynote speaker. Slides: monads-haskell.pdf , monads-scala.pdf , dsl-long.pdf , dsl-short.pdf . SAPLING , Sydney, 16 Dec 2013, keynote speaker. ScalaSyd , Sydney, 11 December 2013, atlassian.pdf . Functional Programming with the Stars , Brisbane, 7 Dec 2013, invited speaker. Programming Languages Workshop , University of Melbourne, 4 Dec 201, invited speaker. Workshop on Secure Cloud and Reactive Internet Programming Technology (SCRIPT) Vrije University, Brussels, 1213 Nov 2013, invited speaker. FP Days , Cambridge, 24 Oct 2013, keynote speaker. Colin Runciman Celebration , York, 23 Oct 2013, keynote speaker. ICFP 2013 , presenting A practical theory of language-integrated query . DBPL 2013 , Trento, 30 Aug 2013, program committee. International Summer School on Trends in Computing (SSTC 2013), Tarragona, 2226 July 2013, invited lecturer . Fourth Annual Scala Workshop , Montpellier, 2 July 2013, keynote speaker . Midlands Graduate School in the Foundations of Computing Science , 812 April 2013, invited lecturer ( Topics in Lambda Calculus and Life ). Data Driven Functional Programming (DDFP) , workshop at POPL , 22 January 2013, keynote speaker ( The essence of language-integrated query ). Programming Languages Mentoring Workshop (PLMW) , workshop at POPL , 22 January 2013, invited lecturer ( You and Your Research and The Elements of Style ). Tech Mesh , London, 46 December 2012, keynote speaker plus Faith, Evolution, and Programming Languages . The essence of language-integrated query , draft paper, 1 December 2012. Propositions as Sessions , ICFP , Copenhagen, 1012 September 2012. SICSA Conference , 2022 June 2012, keynote speaker, slides . Summer School on Types and Programming Languages , St. Andrews, invited speaker, Well-typed programs can't be blamed , slides . PLDI , Beijing, 1113 June 2012, to chair SIGPLAN EC. Took a Wild Wall Hiking Tour with Stretch-a-leg . Turing Centenial Celebration at Princeton , 1012 May 2012, invited speaker, slides The future of functional programming languages , Robin Milner Symposium, 16 April 2012, panel chair. Faith, Evolution, and Programming Languages QCon, London, 9 March 2012 ( video ). POPL , Philadelphia, 2527 January 2012, to chair SIGPLAN EC. Foundations of Scripting Languages , Dagstuhl, 26 January 2012. Course lecturer, Integrating Static and Dynamic Types Systems , 2829 October, 23 December 2011, University of Warsaw, slides . Older events . Recent talks and papers Principles of Programming Languages (POPL) , Los Angeles, 813 January 2018. Programme committe & coauthor of Refinement Reflection: Complete Verification with SMT . International Conference on Functional Programming (ICFP) , Oxford, 39 September 2017. Coauthor of Gradual Session Types & Theorems for Free for Free . Coherence Generalises Duality: a logical explanation of multiparty session types , Marco Carbone, Sam Lindley, Fabrizio Montesi, Carsten Schrmann, Philip Wadler, CONCUR , Quebec, August 2016. The key to blame: Gradual typing meets cryptography , Jeremy Siek and Philip Wadler. Draft paper, March 2016, updated July 2016. Everything Old is New Again , Shayan Najd, Sam Lindley, Josef Svenningsson, Philip Wadler. PEPM, January 2016. Propositions as types , Philip Wadler, CACM, December 2015. Blame and coercion: Together again for the first time , Jeremy Siek, Peter Thiemann, Philip Wadler. PLDI, June 2015. A complement to blame , Philip Wadler, SNAPL, May 2015. The Implicit Calculus: A New Foundation for Generic Programming , Bruno C. D. S. Oliveira, Tom Schrijvers, Wontae Choi, Wonchan Lee, Kwangkeun Yi, Philip Wadler. Draft paper, 2014. Propositions as sessions , Philip Wadler, Journal of Functional Programming, Best papers of ICFP 2012. Blame, coercions, and threesomes, precisely , Jeremy Siek, Peter Thiemann, and Philip Wadler, draft, March 2014. (Superseded by Blame and coercion: Together again for the first time ). A practical theory of language-integrated query , ICFP , Boston, 2527 September 2013. You and Your Research and The Elements of Style , PLMW , Rome, POPL , 22 January 2013. Propositions as Sessions , ICFP , Copenhagen, 1012 September 2012. Church's Coincidences , Turing Centenial Celebration at Princeton , 1012 May 2012, invited speaker. Blame for All , POPL 2011 . The arrow calculus , JFP . Threesomes, with and without blame , POPL 2010 . Monadic constaint programming , JFP . The RPC Calculus , PPDP 2009 . Blame for all , STOP 2009 . Threesomes, with and without blame , STOP 2009 . Well-typed programs can't be blamed . ESOP 2009 , The essence of form abstraction , APLAS 2008. Idioms are oblivious, arrows are meticulous, monads are promiscuous , MSFP 2008. The arrow calculus (Functional pearl) , Submitted to ICFP 2008. Well-typed programs can't be blamed , Submitted to ICFP 2008. An idiom's guide to formlets , Submitted to ICFP 2008. Signed and sealed , Submitted to ICFP 2008. A located lambda calculus , Submitted to ICFP 2008. Aspect-Oriented Software Development (AOSD 2008) , 24 April 2008, Brussels (keynote). Presented Well-typed programs can't be blamed . Well-typed programs can't be blamed , Scheme workshop, ICFP, Freiburg, 30 September 2007. Comprehensive comprehensions , Haskell workshop, ICFP, Freiburg, 30 September 2007. Links: Web Programming Without Tiers , invited talk, FMCO, Amsterdam, 9 November 2006, NICTA, Melbourne, 2 February 2006, and PADL, Charleston, 9 January 2006. Faith, Evolution, and Programming Languages , invited talk, OOPSLA, Portland, 26 October 2006. You and Your Research , my attempt to channel R. W. Hamming in a talk for postgraduate students at Firbush retreat. Here is a transcript of Hamming's original talk . Call-by-value is dual to call-by-name, Reloaded Invited talk, Rewriting Techniques and Applications (RTA), Nara, April 2005. The unreasonable effectiveness of logic , inaugural lecture, University of Edinburgh, 16 November 2004. Down with the bureaucracy of syntax! Pattern matching for classical linear logic , manuscript, April 2004. The Girard-Reynolds Isomorphism (second edition) , manuscript, March 2004. XQuery from the Experts , published by Addison-Wesley, 29 August 2003 (contributor). Call-by-value is dual to call-by-name , ICFP , Uppsala, Sweden, 25-29 August 2003. Preliminary version: NJPLS , AT&T Labs, Florham Park, 21 February 2003. A Prettier Printer , In The Fun of Programming , A symposium in honour of Professor Richard Bird's 60th birthday, Examination Schools, Oxford, 24-25 March 2003. As Natural as 0, 1, 2 , Edinburgh University Informatics Jamboree 20 May 2004, Bard College Distinguished Scientist Lecture , 10 April 2003, and University of Utah Evans and Sutherland Distinguished Lecture , 20 November 2002. The Essence of XML , POPL 2003 , New Orleans, January 2003. Preliminary version: FLOPS 2002 , Aizu, Japan, September 2002 (invited talk). The Great Type Hope . Erlang Workshop, Pittsburgh, October 2002 (invited talk). XQuery, a typed functional language for querying XML , Advanced Functional Programming, Oxford, August 2002. XQuery tutorial , XML 2001, Orlando, December 2001 (tutorial). Et tu, XML? The fall of the relational empire , VLDB 2001, Rome, September 2001 (keynote). MSL: A model for W3C XML Schema , WWW01, Hong Kong, May 2001. From Frege to Gosling , Alan J. Perlis Symposium, Programming Languages: Theory Meets the Real World , Yale University, 27 April 2000 (invited talk). 19'th Century Logic and 21'st Century Programming Languages , Dr Dobbs, December 2000. Publications and Talks Recent papers Agda Links Blame and contracts Call-by-value is dual to call-by-name XML GJ, Pizza, and Java Erlang Monads, Arrows, and Idioms Linear logic Call-by-need and call-by-value Type classes Parametricity Deforestation Strictness analysis Garbage collection Language design Functional programming History of logic and programming languages Communication skills Citations of my work on Google Scholar , Microsoft Academic Search , Citeseer . Google ranks my h-index at 60 (September 2013). I appear at position 6 in a list of most acknowledged researchers . Bibliography at DBLP and Edinburgh Research Explorer . Students Current students (PhD): Jakub Zalewski (PhD), starting fall 2015, enrolled in Centre for Doctoral Training in Pervasive Parallelism . Simon Fowler (PhD), started fall 2014, enrolled in Centre for Doctoral Training in Pervasive Parallelism . Jack Williams (PhD), started fall 2014, recipient of a Microsoft Research PhD Scholarship . Shayan Najd (PhD), started fall 2013, recipient of a Google European Doctoral Fellowship . Ben Kavanagh (PhD), started 2004, currently working with James Cheney, blog , wiki . Previous students (PhD and MPhil): Jiansen He (MPhil). Jeremy Yallop (PhD), blog . Ezra Cooper (PhD), blog . DeLesley Hutchins (PhD), blog . Previous students (MSc and UG4): Sky Welch (UG4) Fractal Maps (Android, improved from Corbett). Hannah Taub (UG4). Alasdair Corbett (UG4) Mandelbrot Maps (Android). Taige Liu (MSc) Mandelbrot Maps (revised from Mallia). Edward Mallia (MSc) Mandelbrot Maps (improved from Parris). Iain Parris (MSc) Mandelbrot Maps (original) John Simpson (MSc) A graphical functional language . Gilles Dubochet (MSc) blog . Ross Butler (UG4), blog . James McCreary (UG4), blog . James Rutherford (UG4), blog . Dave Yeo (UG4), blog , new honeypot , old honeypot . Neil Campbell (UG4), blog . Calum Leslie (UG4), blog . Of interest to potential students: Postgraduate study at Edinburgh . Centre for Doctoral Training in Pervasive Parallelism, deadline 27 January 2014. Studentships on From Data Types to Session Types: A Basis for Concurrency and Distribution. Teaching Current. 2013/14current: Professional Issues . 2013/14current: Types and Semantics of Programming Languages ( introductory video ). Former. 2004/52011/12: Informatics 1 , Functional Programming (check out our programming competition ) lect13.pdf 2008/92011/12: System Design Project 2008/92009/10: Lego League after-school club at James Gillespie's Primary School . (Video of the 2008 competition .) 2006/72007/8: Types and Programming Languages Service and Editorial Journal of the ACM (JACM) (area editor, Programming Languages). Journal of Object Technology (JOT) (editorial board). Functional Programming in the Real World (list maintainer). Journal of Functional Programming (JFP) (former member of editorial board, former editor-in-chief). ACM Special Interest Group in Programming Languages (SIGPLAN) (past chair, former member of executive board). SIGPLAN Notices (former editor, functional programming column). Please submit to the above! Unusual applications Here are some unusual application of my work. Please let me know of others! Computational linguistics. Linguistic side effects , by Ken Shan cites my work on monads. The scope of alternatives and A modular theory of pronouns and binding by Simon Charlow cite my work on monads. Quantum computation. A Lambda Calculus for Quantum Computation and Quantum Computation, Categorical Semantics and Linear Logic , by Andre van Tonder cites my work on linear logic. Structuring quantum effects: superoperators as arrows , by Juliana Vizzotto, Thorsten Altenkirch, and Amr Sabry, relates quantum computing to monads and arrows. A linear-non-linear model for a computational call-by-value lambda calculus , by Peter Selinger and Benoit Valiron, relates quantum computing to both linear logic and monads. The Arrow Calculus as a Quantum Programming Language , by Juliana Kaizer Vizzotto, Andre Rauber Du Bois, and Amr Sabry, is based on my work with Sam Lindley and Jeremy Yallop on The Arrow Calculus . eScience. On providing declarative design and programming constructs for scientific workflows based on process networks , by Bertram Ludascher and Ilkay Altinas, models workflow on a grid for eScience applications with Haskell. Nanotechnology The Semantics of Jitter in Anticipating Time Itself within Nano-Technology , by Michael Heather, Nick Rossiter, and Dimitris Sisiaridis, cites my work on monads. Proof Assistants The proof monad , by Florent Kirchner and Cesar Munoz, applies monads to support computational features of proof languages, such as side effects, exception handling, and backtracking. Phenomenology Pragmatic phenomenological types , by Ted Goranson, Beth Cardier, and Keith Devlin, cites my work with Sam Lindley and Jeremy Yallop on The Arrow Calculus . Jewish calendar A request: please avoid scheduling events on Shabbat, Rosh Hasanah, Yom Kippur, Sukkot, Chanukkah, Purim, and Passover. Holiday dates for the next five years . I am a member of Sukkat Shalom, the Edinburgh Liberal Jewish Community , Jews for Justice for Palestinians , and Scottish Jews for a Just Peace . Other Three ways to improve your writing . Also see Tips for Formal Writing from my colleague Jim Bednar. James Harland lists reasons to never say never . John Baez argues academics should not provide free work for Elsevier or other high-priced journals. UKCRC's evidence to Parliament regarding electronic voter registration contains useful general information on building dependable systems. The TIOBE Programming Community Index tracks popularity of programming languages. "The ratings are based on the world-wide availability of skilled engineers, courses and third party vendors. The popular search engines Google, MSN, and Yahoo! are used to calculate the ratings." Lisp, Scheme, and ML rate mentions. Erlang and Haskell are tracked, but no ratings are reported since they are not in the top 50. Comments on the American election and www.sorryeverbody.com . Science Commons encourages scientific innovation by working within current copyright and patent law to promote legal and technical mechanisms that remove barriers to sharing. Oscar Nierstrasz advises on organizing a program committe in Identify the Champion . The paper is over-heavy in the jargon of design patterns, but the more experience I have with the ABCD ranking, the more I like it. Some of my colleagues at other universities do not work under the best of conditions. Lecturer quits to become plumber. Engineers applauded theoretical computer science when they found out What really happened on Mars? Dave Clark advises on How to complete a PhD . Paul Graham opines on how a programming language can grow in Being Popular . Malevole asks whether I am a Programming Language Inventor or Serial Killer? NewsScan provides an excellent daily summary of news relevant to the computing community. Want to do Nobel-class research? It's not just a matter of luck. Richard Hamming lays out the nuts and bolts of how to do so in You and Your Research . Peter Buneman presented me with a T-shirt summarizing The Evolution of Language . And here is Fritz Ruehr's Evolution of a Haskell Programmer The best conference talk I ever heard was Guy Steele on Growing a Language at OOPSLA 98. (Here is the original .) Mark Jones initiated and Graham Hutton maintains an excellent Functional Programming FAQ . Jon Hill maintains a Functional Programming Archive . Joe Armstrong offers words of advice based on his experience with Erlang . Don Smith penned a Haskell Lover's Plea . John Peterson concocted a story about Haskell at Microsoft . Here's a picture of Haskell's House . David Touretzky's Gallery of CSS Descramblers includes an application of the Curry-Howard isomorphism to circumvent copyright law. I wrote a guide to functional programming on the web A micro version of my home page is engineered for search engines. Personal I buy my cheese from Cheesee-peasee . I am the father of Adam and Leora. Those who fall in love with practice without science are like a helmsman sailing without rudder nor compass, who is never sure about where he is going. Leonardo da Vinci In most universities nowadaysand this seems to be true almost everywhereacademic staff find themselves spending less and less time studying, teaching, and writing about things, and more and more time measuring, assessing, discussing, and quantifying the way in which they study, teach, and write about things ... . It's gotten to the point where "admin" now takes up so much of most professors' time that complaining about it is the default mode of socializing among academic colleagues; indeed, insisting on talking instead about one's latest research project or course idea is considered somewhat rude. David Graeber, Are You in a BS Job? In Academe, You're Hardly Alone Other favorite quotes Philip Wadler Informatics Forum 5.31 10 Crichton Street Edinburgh EH8 9AB UNITED KINGDOM public key http://homepages.inf.ed.ac.uk/wadler @PhilipWadler office: +44 131 650 5174 fax: +44 131 651 1426 admin: +44 131 651 3435 Philip Wadler , diff --git a/src/data/compiled_bios/5464.txt b/src/data/compiled_bios/5464.txt new file mode 100644 index 0000000000..a654c1b280 --- /dev/null +++ b/src/data/compiled_bios/5464.txt @@ -0,0 +1 @@ + University Homepage School Homepage School Contacts School Search Petros Wallden Position Lecturer in Security and Privacy Roles Member of Laboratory for Foundations of Computer Science Personal Tutor of Informatics UG Students Project supervision of Honours Project Project supervision of MSc Dissertation Email Address Office,Telephone IF-5.30,+44 (0) 131 651 5631 Publications - Edinburgh Research Explorer Home : People Informatics Forum, 10 Crichton Street, Edinburgh, EH8 9AB, Scotland, UK Tel: +44 131 651 5661, Fax: +44 131 651 1426, E-mail: school-office@inf.ed.ac.uk Database generated page, please contact us with any comments or corrections. Logging and Cookies Unless explicitly stated otherwise, all material is copyright The University of Edinburgh diff --git a/src/data/compiled_bios/5465.txt b/src/data/compiled_bios/5465.txt new file mode 100644 index 0000000000..c24cbf7960 --- /dev/null +++ b/src/data/compiled_bios/5465.txt @@ -0,0 +1 @@ + Barbara Webb Professor of Biorobotics Institute for Perception, Action and Behaviour School of Informatics University of Edinburgh Room: IF 1.27 Phone: +44 (0)131 651 3453 Email: B.Webb@ed.ac.uk Address: Informatics Forum, 10 Crichton St, Edinburgh EH8 9AB, U.K. Background I joined the School of Informatics at the University of Edinburgh in May 2003. Previously I have lectured at the University of Stirling (1999-2003), the University of Nottingham (1995-1998) and the University of Edinburgh (1993-1995). I received my Ph.D. (in Artificial Intelligence) from the University of Edinburgh in 1993, and my B.Sc. (in Psychology) from the University of Sydney in 1988. Research My main research interest is in perceptual systems for the control of behaviour, through building computational and physical (robot) models of the hypothesised mechanisms. In particular I focus on insect behaviours, as their smaller nervous systems may be easier to understand. Recent work includes study of some of the more complex capabilities of insects, including multimodal integration (in crickets and flies), navigation (in ants) and learning (in flies and maggots). I also have an interest in theoretical issues of methodology; in particular the problems of measurement, modeling and simulation. There is more information about research in my lab here. Recent publications are listed on my page on Edinburgh Research Explorer. Teaching Intelligent Autonomous Robotics System Design Practical Statistics for Informatics postgraduates Home Unless explicitly stated otherwise, all material is copyright The University of Edinburgh diff --git a/src/data/compiled_bios/5466.txt b/src/data/compiled_bios/5466.txt new file mode 100644 index 0000000000..33f0b1f3eb --- /dev/null +++ b/src/data/compiled_bios/5466.txt @@ -0,0 +1 @@ + Chris Williams Professor of Machine Learning, School of Informatics , University of Edinburgh Member of the Institute for Adaptive and Neural Computation , School of Informatics Director of Research, School of Informatics Turing Fellow, Alan Turing Institute Research Interests Papers available online Selected talks available online Information for Prospective Students Centre for Doctoral Training (CDT) in Data Science Past and Current Students and Postdocs Machine Learning @ Edinburgh Teaching Software Affiliations Professional Service Media Coverage PASCAL Visual Object Classes Challenges Biography , google scholar profile , ORCID Quotations Contact BOOK: Gaussian Processes for Machine Learning, Carl Edward Rasmussen and Christopher K. I. Williams, MIT Press (2006). Book website , MIT Press site Chris Williams diff --git a/src/data/compiled_bios/5467.txt b/src/data/compiled_bios/5467.txt new file mode 100644 index 0000000000..1a1cd19641 --- /dev/null +++ b/src/data/compiled_bios/5467.txt @@ -0,0 +1 @@ + Maria Wolters Adventures of a Communication Researcher Navigation Home About Me Research Missing health data Presentations Publications Research Questions Teaching Courses Design Informatics Project Prospective Students Thesis Supervision for Non-Informatics Students The Hub Welcome to my hub on the Internet! I have been online in one form or another since 1992, when I got my first email account as a new student of Communication Research and Phonetics at the University of Bonn, Germany. On this site, you can find some basic information about my background , my research , my teaching , and links to other places on the web that I frequent more or less regularly. Recent Posts Mood Music Characterising the Speech of People with Mental Illness Writing the Introduction to Your Thesis Structuring Your Dissertation Pint of Science: Oh Data, Where Art Thou? Categories admin eHealth Data research teaching Uncategorized Archives November 2018 November 2017 August 2017 June 2017 May 2017 February 2017 November 2016 October 2016 June 2016 April 2016 Recent Comments pakidad.tumblr.com on Pint of Science: Oh Data, Where Art Thou? Meta Log in Entries RSS Comments RSS WordPress.org Copyright 2019 Maria Wolters . All Rights Reserved. Minimize by Slocum Studio Thanks for sharing! Copy and paste link in email or IM. Powered by In4Capital Do Not Track diff --git a/src/data/compiled_bios/5468.txt b/src/data/compiled_bios/5468.txt new file mode 100644 index 0000000000..62ed9805df --- /dev/null +++ b/src/data/compiled_bios/5468.txt @@ -0,0 +1 @@ + University Homepage School Homepage School Contacts School Search Heather Yorston Position University Teacher Roles Personal Tutor of Informatics UG Students Project supervision of Honours Project Project supervision of MSc Dissertation Email Address Office,Telephone AT-5.02,+44 (0) 131 650 1000 Home : People Informatics Forum, 10 Crichton Street, Edinburgh, EH8 9AB, Scotland, UK Tel: +44 131 651 5661, Fax: +44 131 651 1426, E-mail: school-office@inf.ed.ac.uk Database generated page, please contact us with any comments or corrections. Logging and Cookies Unless explicitly stated otherwise, all material is copyright The University of Edinburgh diff --git a/src/data/compiled_bios/5469.txt b/src/data/compiled_bios/5469.txt new file mode 100644 index 0000000000..cde8b0c7cd --- /dev/null +++ b/src/data/compiled_bios/5469.txt @@ -0,0 +1 @@ + University Homepage School Homepage School Contacts School Search Vassilis Zikas Position Senior Lecturer in Security and Privacy Roles Member of Laboratory for Foundations of Computer Science Personal Tutor of Informatics UG Students Project supervision of Honours Project Project supervision of MSc Dissertation Email Address Office,Telephone IF-4.20 Publications - Edinburgh Research Explorer Home : People Informatics Forum, 10 Crichton Street, Edinburgh, EH8 9AB, Scotland, UK Tel: +44 131 651 5661, Fax: +44 131 651 1426, E-mail: school-office@inf.ed.ac.uk Database generated page, please contact us with any comments or corrections. Logging and Cookies Unless explicitly stated otherwise, all material is copyright The University of Edinburgh diff --git a/src/data/compiled_bios/547.txt b/src/data/compiled_bios/547.txt new file mode 100644 index 0000000000..0124238ef1 --- /dev/null +++ b/src/data/compiled_bios/547.txt @@ -0,0 +1 @@ +Rick Stevens Professor,Department of Computer Science, Associate Lab Director, Computing, Environment and Life Sciences, Argonne Email: stevens@cs.uchicago.edu Phone: (773) 834-6816 Office: JCL 307 Research: systems Research I am interested in the development of innovative tools and techniques that enable computational scientists to solve large-scale problems more effectively on the most advanced high-performance computers. Specifically, my research focuses on three principal areas: collaborative visualization environments, high-performance computer architectures, and performance modeling. In the area of collaborative visualization, I am exploring the use of virtual reality in the visualization of scientific data and processes. My efforts include improving displays, recording, and playback of virtual reality experiences; developing new methods for tracking and control and close coupling with parallel supercomputers; and devising new ways of collaborating in virtual environments. Of particular interest to me is teleimmersion -- strategies for synthesizing networking and multimedia technologies to enhance the development of wide-area wide-area collaborative computational science. In the area of high-performance computers, I am studying approaches to computing at the Petaflops Scale, focusing on analysis, modeling, and simulation tools for these ultra-high-performance computers. I am also particularly interested in algorithm and software for multithreaded computer architectures and for hierarchical processor and memory architectures. In a related area, I am investigating analytic performance models that will help researchers understand the performance relationship between high-performance computer systems and scientific applications. My goal is to enable scientific simulations to achieve the very high performance potential of next-generation computer architectures with deep memory hierarchies. Projects ASCI Flash Laboratories Futures Laboratory diff --git a/src/data/compiled_bios/5470.txt b/src/data/compiled_bios/5470.txt new file mode 100644 index 0000000000..a429af2bcd --- /dev/null +++ b/src/data/compiled_bios/5470.txt @@ -0,0 +1 @@ +Jayadev Acharya Assistant Professor Electrical and Computer Engineering Frank H T Rhodes Hall, Room 382 acharya@cornell.edu Back to Directory: Biography I joined Cornell in August 2016 as an Assistant Professor in the school of Electrical and Computer Engineering, after spending two years as a postdoc at MIT. I obtained my Ph.D. from University of California, San Diego, and my B. Tech degree from Indian Institute of Technology, Kharagpur.. Research Interests I am interested in information theory, algorithmic statistics, and machine learning. In particular, I am interested in understanding the trade-offs between resources (e.g., data, memory, time, etc) for problems in statistical learning. During my graduate work, I worked on compression and statistical estimation, with particular emphasis on problems over large domains. Information Theory and Communications Statistics and Machine Learning Systems and Networking Research Group Members. Selected Publications Acharya, Jayadev, I. Diakonikolas, J. Li, L. Schmidt . 2016. "Sample-optimal density estimation in nearly-linear time". Acharya, Jayadev, C. Daskalakis, G. Kamath . 2015. "Optimal testing of properties of distributions." Acharya, Jayadev, A. Orlitsky, A.T. Suresh, H. Tyagi . 2015. "The complexity of estimating Rnyi entropy." Acharya, Jayadev, H. Das, O. Milenkovic, A. Orlitsky, S. Pan . 2015. "String reconstruction from substring compositions." 29 (3) : 1340-1371 . Acharya, Jayadev, A. Jafarpour, A. Orlitsky, A.T. Suresh . 2014. "Near-optimal-sample estimators for spherical gaussian mixtures.". Selected Awards and Honors MIT Energy Initiative Fellowship (MIT) 2014 Shannon Graduate Fellowship (UCSD) 2012 Jack Keil Wolf Student Paper Award (ISIT) 2010. Education Btech. (Electronics and Communication Engineering), IIT Kharagpur, 2007 MS (Electrical and Computer Engineering), University of California, San Diego, 2009 Ph D (Electrical and Computer Engineering), University of California, San Diego, 2014. Research Group Members Graduate Students Sourbh Bhadane snb62@cornell.edu Electrical and Computer Engineering Ziteng Sun zs335@cornell.edu Electrical and Computer Engineering Huanyu Zhang hz388@cornell.edu Electrical and Computer Engineering . diff --git a/src/data/compiled_bios/5471.txt b/src/data/compiled_bios/5471.txt new file mode 100644 index 0000000000..6964a85ed5 --- /dev/null +++ b/src/data/compiled_bios/5471.txt @@ -0,0 +1 @@ +Khurram Khan Afridi Associate Professor Electrical and Computer Engineering Phillips Hall kka34@cornell.edu Back to Directory: Biography Khurram Afridi is an Associate Professor of Electrical and Computer Engineering. He received the BS degree in EE from Caltech (1989), and SM (1992) and PhD (1998) degrees in EECS from MIT. His research interests are in power electronics and energy systems incorporating power electronic controls. Prior to joining Cornell University, he was an Assistant Professor at CU Boulder. He was a visiting faculty at MIT's EECS Department (2009-2013) and the COO (2000-2010) and CTO (1997-2000) of Techlogix. From 2004 to 2008 he led the development of LUMS School of Science and Engineering (SSE) as Project Director. He has also worked for JPL, Lutron, Philips, and Schlumberger. He is an associate editor of the IEEE Transactions on Transportation Electrification and IEEE Journal of Emerging and Selected Topics in Power Electronics, and was the Technical Program Committee (TPC) chair for the IEEE Wireless Power Transfer Conference (WPTC) 2015. He received the Carnation Merit Award from Caltech (1988), the BMW Scientific Award from BMW AG (1999), the Werner-von-Siemens Chair for Power Electronics from LUMS SSE (2008), the Dean's Professional Progress Award from CU Boulder (2015), the ECEE Department Outstanding Overall Performance Award from CU Boulder (2016), and the National Science Foundation CAREER Award from NSF (2016). He is co-author of four IEEE prize papers.. Research Interests Professor Afridi's primary research interest is inhigh frequency power electronics and energy systems incorporating powerelectronic controls as a means to efficiently harness, store, process, transmit, distribute and use energy.While his work across this entire energy chain is centered on the design of advanced power electronicconverters, his research also includes solutions at the system and component level that draw upon hisbroad academic and industrial experience and leverage collaborations with faculty members in allieddisciplines. The vision of his high frequency power electronics research group is to develop electronicenergy conversion technologies that are ultra efficient, extremely compact, more reliable, highlyintelligent, less expensive, and enable the development of next-generation energy systems incorporatingpower electronic controls. He strives to achieve this vision through innovations in system architectures,circuit topologies and control appropriate for high frequency power electronics. Power Electronics Solid State, Electronics, Optoelectronics and MEMs. Teaching Interests Circuits and Electronics, Power Electronics and Photovoltaic Power Systems. Selected Publications Jie Lu, David J. Perreault, David M. Otten, and Khurram Afridi. "Impedance Control Network Resonant DC-DC Converter for Wide-Range High-Efficiency Operation." IEEE Transactions on Power Electronics, Vol. 31, No.7, July 2016. Yu Ni, Saad Pervaiz, Minjie Chen, and Khurram Afridi. "Energy Density Enhancement of Stacked SwitchedCapacitor Energy Buffers Through CapacitanceRatio Optimization." IEEE Transactions on Power Electronics, Vol. 32, No. 8, August 2017 Ashish Kumar, Sreyam Sinha, Alihossein Sepahvand, and Khurram Afridi. "Improved Design Optimization for High-EfficiencyMatching Networks." IEEE Transactions on Power Electronics, Vol. 33, No. 1, January 2018.. Selected Awards and Honors First Place Prize Paper Award, IEEE Transactions on Power Electronics, 2017 Best Paper Award, IEEE COMPEL, 2017 Goh Faculty Fellowship, CU Boulder, 2017 NSF CAREER Award, National Science Foundation, 2016. Education BS (Electrical Engineering), California Institute of Technology, 1989 MS (Electrical Engineering and Computer Science), Massachusetts Institute of Technology, 1992 PhD (Electrical Engineering and Computer Science), Massachusetts Institute of Technology, 1998. Websites High Frequency Power Electronics Group. diff --git a/src/data/compiled_bios/5472.txt b/src/data/compiled_bios/5472.txt new file mode 100644 index 0000000000..843d5df55c --- /dev/null +++ b/src/data/compiled_bios/5472.txt @@ -0,0 +1 @@ +David H. Albonesi Professor Electrical and Computer Engineering Frank H T Rhodes Hall, Room 333 607/254-5473 dha7@cornell.edu Back to Directory: Biography Professor David Albonesi joined the Computer Systems Laboratory in 2004 after serving on the faculty of the University of Rochester. His current research interests include adaptive and reconfigurable multi- core and processor architectures, power- and reliability-aware computing, and energy-efficient smart buildings. In addition to his academic experience, he has ten years of industry experience as a technical manager, computer architect, and chip designer at IBM and Prime Computer. Dr. Albonesi is a Fellow of the IEEE, and has received the National Science Foundation CAREER Award, three IBM Faculty Awards, three IEEE Micro Top Picks paper awards, and the Michael Tien '72, Ralph S. Watts '72, and Ruth and Joel Spira Excellence in Teaching Awards. He serves on the Editorial Board of IEEE Computer, and was Editor-in-Chief of IEEE Micro from 2007-10. Professor Albonesi was General co-Chair of the 42nd International Symposium on Microarchitecture and Program Chair of the 42nd International Symposium on Computer Architecture. He is a graduate field member of ECE and CS, and teaches courses ranging from freshman-level introductory computing to advanced graduate topics in computer systems. His MOOC, The Computing Technology Inside Your Smartphone, first launched on edX in Spring 2015 and ran for a second time in Summer 2016.. Research Interests Computer Architecture, Smart Buildings Energy and the Environment Computer Architecture Computer Systems Computer Engineering Research Group Members. Teaching Interests Computer Engineering. Selected Publications Rzayev, T., S. Moradi, David H. Albonesi, R. Manohar . 2017. "DeepRecon: Dynamically Reconfigurable Architecture for Accelerating Deep Neural Networks." International Joint Conference on Neural Networks . Rzayev, T., David H. Albonesi, R. Manohar, F. Guimbretiere, J. Kihm . 2017. "Toolbox for Exploration of Energy-Efficient Event Processors for Human-Computer Interaction." International Symposium on Performance Analysis of Systems and Software . Majumdar, A., L. Piga, J.L. Greathouse, W. Huang, David H. Albonesi . 2017. "Dynamic GPGPU Power Management Using Adaptive Model Predictive Control." 23rd International Symposium on High Performance Computer Architecture . Petrica, Paula, Adam Izraelevitz, David H. Albonesi, Christine A Shoemaker . 2013. "Flicker: A Dynamically Adaptive Architecture for the Dark Silicon Era." Paper presented at International Symposium on Computer Architecture , June. Rzayev, T., S. Moradi, D. H. Albonesi, R. Manohar . 2016. "Fractured Arithmetic Accelerator for Training Deep Neural Networks." Paper presented at Workshop on Hardware and Algorithms for On-chip Learning, International Conference on Computer-Aided Design , November.. Selected Awards and Honors Ralph Watts '72 Excellence in Teaching Award (Cornell University, College of Engineering) 2015 Ruth and Joel Spira Award for Excellence in Teaching (Cornell University, School of ECE) 2014 Michael Tien '72 Excellence in Teaching Award (Cornell University, College of Engineering) 2011 Fellow of IEEE (IEEE) 2011 IEEE Computer Society Golden Core Award 2011. Education BS (Electrical Engineering), University of Massachusetts-Amherst, 1982 MS (Electrical Engineering), Syracuse University, 1986 Ph D (Computer Engineering), University of Massachusetts-Amherst, 1996. Websites David H. Albonesi. Research Group Members Graduate Students Neeraj Kulkarni nsk49@cornell.edu Electrical and Computer Engineering Tayyar Rzayev tr265@cornell.edu Electrical and Computer Engineering Nitish Srivastava nks45@cornell.edu Electrical and Computer Engineering . diff --git a/src/data/compiled_bios/5473.txt b/src/data/compiled_bios/5473.txt new file mode 100644 index 0000000000..5ca5d394d9 --- /dev/null +++ b/src/data/compiled_bios/5473.txt @@ -0,0 +1 @@ +Alyssa B. Apsel Professor Electrical and Computer Engineering Phillips Hall, Room 229 607/255-3962 Dir Acad College of Engineering aba25@cornell.edu Back to Directory: Biography Alyssa Apsel received the B.S. from Swarthmore College, Swarthmore, PA, in 1995 and the Ph.D. from Johns Hopkins University, Baltimore, MD, in 2002. She joined Cornell University in 2002, where she is currently a Professor of Electrical and Computer Engineering. She is also a Visiting Professor at Imperial College in London working on RF interfaces for implantable electronics. Apsel became the Director of Electrical and Computer Engineering at Cornell in July 2018. She has authored or coauthored over 100 refereed publications in related fields of RF mixed signal circuit design, ultra-low power radio, photonic integration with VLSI, and circuit design techniques in the presence of variation resulting in five patents and several pending patent applications.Apsel is alsoa Distinguished Lecturer for IEEE CAS Society for 2018-2019.. Research Interests The focus of Apsel's research is on power-aware mixed signal circuits and design for highly scaled CMOS and modern electronic systems. Her current focus is on low power radio for IoT and reconfigurable multi-standard radio to extend the reach of wireless communications. Her research group investigates new approaches to cost-effective designs that leverage today's technology but achieve improved performance per unit power. She looks at how problems resulting from device scaling such as process variation, noise and reduced analog performance can be addressed with skillful analog and mixed signal design. Solid State, Electronics, Optoelectronics and MEMs Research Group Members. Teaching Interests Integrated Circuits. Selected Publications Yang, D., H. Yuksel, C. Newman, C. Lee, Z. Boynton, N. Paya, M. Pedrone, Alyssa B. Apsel, A. Molnar . 2016. "A Fully Integrated Software-Defined FDD Transceiver Tunable from 0.3-to-1.6 GHz." Paper presented at IEEE RFIC Symposium. Nominated for best paper award , June. Mukhopadhyay, I., M Y. Mukadam, R. Narayanan, F. O'Mahony, A B Apsel . 2016. "Dual-Calibration Technique for Improving Static Linearity of Thermometer DACs for I/O." IEEE Transactions on Very Large Scale Integration (VLSI) Systems 24 (3) : 1050-1058 . Dorta-Quinones, C I., X Y. Wang, R K. Dokania, A. Gailey, M. Lindau, A B Apsel . 2016. "A Wireless FSCV Monitoring IC With Analog Background Subtraction and UWB Telemetry.." IEEE Transactions on Biomedical Circuits and Systems 10 (2) : 289-299 . Yuksel, H., D. Yang, Z. Boynton, E. Enroth, T. Tapen, A. Molnar, Alyssa B. Apsel . 2016. ""Broadly Tunable Frequency Division Duplex Transceiver: Theory and Operation"." Paper presented at IEEE ICECS, Monte Carlo, December, Enkhbayasgalan, Gantsog, Liu Deyu, B. Alyssa, Alyssa B. Apsel . 2016. ""0.89 mW On-Chip Jitter-Measurement Circuit for High Speed Clock with Sub-Picosecond Resolution"." Paper presented at IEEE ESSDERC/ESSCIRC, Lucerne, Switzerland, September.. Selected Awards and Honors Distinguished Lecturer by the IEEE Circuits and Systems Society, 2018-2019 ISLPED Design Contest, second place 2010 Best Student Paper (IEEE Midwest Symposium on Circuits and Systems) 2000 Abel Wolman Fellowship (Johns Hopkins University) 1997 Caltech Institute Fellowship (California Institute of Technology) 1995 Best Student Paper (Philadelphia Section IEEE Student Paper Contest) 1995. Education BS (Electrical Engineering), Swarthmore College, 1995 MS (Electrical Engineering), California Institute of Technology, 1996 Ph D (Electrical Engineering), Johns Hopkins University, 2002. Websites Apsel Lab. Research Group Members Graduate Students Olalekan Afuye ota2@cornell.edu Electrical and Computer Engineering Ivan Bukreyev ib264@cornell.edu Electrical and Computer Engineering Emory Enroth ete27@cornell.edu Electrical and Computer Engineering Thomas Tapen tpt26@cornell.edu Electrical and Computer Engineering . diff --git a/src/data/compiled_bios/5474.txt b/src/data/compiled_bios/5474.txt new file mode 100644 index 0000000000..afc026ee94 --- /dev/null +++ b/src/data/compiled_bios/5474.txt @@ -0,0 +1 @@ +Christopher Batten Associate Professor Electrical and Computer Engineering Frank H T Rhodes Hall, Room 323 607/255-2672 cbatten@cornell.edu Back to Directory: Biography Christopher Batten is an Associate Professor of Electrical and Computer Engineering, and graduate field member of Computer Science at Cornell. He is a member of the Computer Systems Laboratory, which works on hardware and software techniques for improving the cost, performance, programmability, reliability, and energy efficiency of future computer systems. Professor Batten received his Ph.D. in electrical engineering and computer science from the Massachusetts Institute of Technology. From 2007 to 2009, he was a visiting scholar in the Parallel Computing Laboratory at the University of California at Berkeley. Professor Batten received his M.Phil. in engineering as a Churchill Scholar at the University of Cambridge in 2000, and received his B.S. in electrical engineering as a Jefferson Scholar from the University of Virginia in 1999.. Research Interests Professor Batten's primary research interest is in energy-efficient parallel computer architecture for both high-performance and embedded applications. He is also interested in parallel programming methodologies, hardware specialization, interconnection networks, VLSI chip-design methodologies, and the intersection between computer architecture and future emerging technologies. Computer Architecture Computer Systems Computer Engineering Research Group Members. Teaching Interests Computer Architecture, VLSI Circuits and Systems. Selected Publications Shunning Jiang, Berkin Ilbeyi, and Christopher Batten. "Mamba: Closing the Performance Gap in Productive Hardware Development Frameworks." 55th ACM/IEEE Design Automation Conf. (DAC-55), June 2018. Scott Davidson, Shaolin Xie, Christopher Torng, Khalid Al-Hawaj, Austin Rovinski, Tutu Ajayi, Luis Vega, Chun Zhao, Ritchie Zhao, Steve Dai, Aporva Amarnath, Bandhav Veluri, Paul Gao, Anuj Rao, Gai Liu, Rajesh K. Gupta, Zhiru Zhang, Ronald G. Dreslinski, Christopher Batten, and Michael B. Taylor. "The Celerity Open-Source 511-Core RISC-V Tiered Accelerator Fabric: Fast Architectures and Design Methodologies for Fast Chips." IEEE Micro, 38(2):3041, Mar/Apr. 2018. Ji Kim, Shunning Jiang, Christopher Torng, Moyang Wang, Shreesha Srinath, Berkin Ilbeyi, Khalid Al-Hawaj, and Christopher Batten. "Using Intra-Core Loop-Task Accelerators to Improve the Productivity and Performance of Task-Based Parallel Programs." 50th ACM/IEEE Int'l Symp. on Microarchitecture (MICRO-50), Oct. 2017. Berkin Ilbeyi, Carl Friedrich Bolz-Tereick, and Christopher Batten. "Cross-Layer Workload Characterization of Meta-Tracing JIT VMs." IEEE Int'l Symp. on Workload Characterization (IISWC), Oct. 2017. Christopher Torng, Moyang Wang, and Christopher Batten. "Asymmetry-Aware Work-Stealing Runtimes." 43rd ACM/IEEE Int'l Symp. on Computer Architecture (ISCA-43), June 2016.. Selected Awards and Honors Cornell Engineering Research Excellence Award (College of Engineering, Cornell University) 2015 AFOSR Young Investigator Program Award (Air Force Office of Scientific Research) 2015 Michael Tien '72 Excellence in Teaching Award (College of Engineering, Cornell University) 2013 & 2017 DARPA Young Faculty Award (Defense Advanced Research Projects Agency) 2012 NSF Early CAREER Award (National Science Foundation) 2012. Education BS (Electrical Engineering), University of Virginia, 1999 M.Phil (Engineering), University of Cambridge, 2000 Ph D (Electrical Engineering and Computer Science), Massachusetts Institute of Technology, 2010. Websites Christopher Batten. Research Group Members Graduate Students Khalid Al-Hawaj ka429@cornell.edu Electrical and Computer Engineering Lin Cheng lc873@cornell.edu Computer Science Berkin Ilbeyi bi45@cornell.edu Electrical and Computer Engineering Shunning Jiang sj634@cornell.edu Electrical and Computer Engineering Yanghui Ou yo96@cornell.edu Electrical and Computer Engineering Peitian Pan pp482@cornell.edu Electrical and Computer Engineering Tuan Ta qtt2@cornell.edu Electrical and Computer Engineering Christopher Torng clt67@cornell.edu Electrical and Computer Engineering Moyang Wang mw828@cornell.edu Electrical and Computer Engineering . diff --git a/src/data/compiled_bios/5475.txt b/src/data/compiled_bios/5475.txt new file mode 100644 index 0000000000..f3069f6854 --- /dev/null +++ b/src/data/compiled_bios/5475.txt @@ -0,0 +1 @@ +Eilyan Bitar Associate Professor; David Croll Sesquicentennial Faculty Fellow Electrical and Computer Engineering Frank H T Rhodes Hall, Room 326 eyb5@cornell.edu Back to Directory: Biography Eilyan Bitar is currently an AssociateProfessor in the School of Electrical and Computer Engineering at Cornell University. Prior to joining Cornell in the Fall 2012, he was engaged as a Postdoctoral Fellow in the department of Computing + Mathematical Science (CMS) at the California Institute of Technology and at the University of California, Berkeley in Electrical Engineering and Computer Science during the 2011-12 academic year. A native Californian, he received both his Ph.D. (2011) and B.S. (2006) from the University of California, Berkeley.. Research Interests Stochastic control, optimization, and game theory with applications to modern power and transportation systems. Complex Systems, Network Science and Computation Energy Systems Energy and the Environment Systems and Networking Algorithms Statistics and Machine Learning Research Group Members. Selected Publications Lin, W., & Bitar, E. (2018). Decentralized stochastic control of distributed energy resources. IEEE Transactions on Power Systems, 33(1), 888-900. Louca, R., & Bitar, E. (2018). Robust AC optimal power flow. IEEE Transactions on Power Systems, to appear. Lin, W., & Bitar, E. (2018). A structural characterization of market power in electric power networks. IEEE Transactions on Network Science and Engineering, to appear. Muoz-lvarez, D., & Bitar, E. (2017). Financial storage rights in electric power networks. Journal of Regulatory Economics, 52(1), 1-23. Bitar, E., & Xu, Y. (2017). Deadline differentiated pricing of deferrable electric loads. IEEE Transactions on Smart Grid, 8(1), 13-25.. Selected Awards and Honors National Science Foundation CAREER Award (NSF) 2014 The David D. Croll Sesquicentennial Faculty Fellow (Cornell University) 2012 John and Janet McMurtry Fellowship (University of California, Berkeley) 2010 John G. Maurer Fellowship (University of California, Berkeley) 2008 Robert F. Steidel Jr. Fellowship (University of California, Berkeley) 2007. Education B.S. University of California, Berkeley, 2006 Ph.D. University of California, Berkeley, 2011. Websites Bitar Website. Research Group Members Graduate Students Polina Alexeenko pa357@cornell.edu Electrical and Computer Engineering Kia Khezeli kk839@cornell.edu Electrical and Computer Engineering Weixuan Lin wl476@cornell.edu Electrical and Computer Engineering . diff --git a/src/data/compiled_bios/5476.txt b/src/data/compiled_bios/5476.txt new file mode 100644 index 0000000000..6d6f447aae --- /dev/null +++ b/src/data/compiled_bios/5476.txt @@ -0,0 +1 @@ +Adam Wojciech Bojanczyk Associate Professor Electrical and Computer Engineering Frank H T Rhodes Hall, Room 335 607/255-4296 awb8@cornell.edu Back to Directory: Biography Following completion of his doctorate in 1981, Bojanczyk was appointed to the faculty of the Department of Mathematics and Informatics at the University of Warsaw, Poland. In 1983-85 he was a postdoctoral fellow with the Center for Mathematical Analysis at the Australian National University in Canberra. Bojanczyk came to the United States in 1986 and taught at Washington University in St. Louis for a year. In 1987 he joined the electrical engineering faculty at Cornell, where he is also associated with the Center for Applied Mathematics.. Research Interests Our research is concentrated on the design of high performance algorithms and architectures for signal processing. One activity conters around algorithm design for blind channel order estimation. Another problem under consideration is approximate compression of multidimensional tensor data. Finally, parallelization of the optimal power flow algorithms is being investigated. Signal and Image Processing Scientific Computing Complex Systems, Network Science and Computation Computer Engineering Systems and Networking . Teaching Interests Signal processing, Digital Design, Parallel processing. Selected Publications Bojanczyk, Adam Wojciech, A. Lutoborski . 2013. "Multilinear Algebra with Orthogonal Tensors". Bojanczyk, Adam Wojciech, B. W. Suter . 2013. "Using Clusters of Moving Sensors to Estimate AOA from TDOA Measurements". Bojanczyk, Adam Wojciech . 2010. "Effective channel order estimation based on nullspace structure and exponential fit." IEEE Transactions on Signal Processing 58 (10) : 5425-5430 . Sung, Tae Eung, Adam Wojciech Bojanczyk . 2010. "Power Control and Relay Capacity for PLC-Embedded Cooperative Systems." Las Vegas, NV, United States January (1st Quarter/Winter) 12. Sung, Tae Eung, Adam Wojciech Bojanczyk . 2009. "Randomized Cooperative Precoding and Diversity Analysis over Doubly Selective Channels." Hong Kong, China. June 7.. Education MSc (Mathematics and Informatics), University of Warsaw, 1975 Ph.D. (Informatics), University of Warsaw, 1981. diff --git a/src/data/compiled_bios/5477.txt b/src/data/compiled_bios/5477.txt new file mode 100644 index 0000000000..0faa573fb7 --- /dev/null +++ b/src/data/compiled_bios/5477.txt @@ -0,0 +1 @@ +Hsiao-Dong Chiang Professor Electrical and Computer Engineering Frank H T Rhodes Hall, Room 328 607/255-5270 hc63@cornell.edu Back to Directory: Biography Dr. Hsiao-Dong Chiang received his Ph.D. in Electrical Engineering from the University of California, Berkeley. He is currently a Professor of Electrical and Computer Engineering at Cornell University. Dr. Chiang is the founder of Bigwood Systems, Inc. (BSI), Ithaca, NY and Global Optimal Technology, Inc., Ithaca, NY. He was awarded a Chang-Jiang Chair professorship from 2006-2009. He was recognized as an IEEE Fellow in 1997 and became a Full Professor at Cornellin 1998. He and his group at Cornell have published more than 350 refereed journal and conference papers. The H-factor of his publication is 29. Dr. Chiang has been awarded 12 U.S. patents and four overseas patents, with another nine U.S. patents pending. He is currently on the Editorial Board of IEEE Japan and of the Journal of Electric Power Systems and Components.. Research Interests Professor Chiang's research effort is focused on both theoretical developments and practical applications. Particular areas include nonlinear system theory, nonlinear computations and their practical applications to electric circuits, systems, signals and images. He and his co-workers have developed a comprehensive theory of stability regions for general nonlinear dynamical systems (including continuous, discrete, interconnected, hyperbolic and non-hyperbolic nonlinear systems) and their practical applications. He and his co-workers have developed BCU method and Group-based BCU method for fast direct stability assessments for electric power systems. He and his group also work on the development of computational methods for nonlinear analysis and control of large-scale systems. Systems and Networking Research Group Members. Teaching Interests Electric power system analysis and optimization. Electric Power System dynamic simulation and stability analysis. Nonlinear System stability analysis and control. Nonlinear Circuits and Systems. Nonlinear Optimization and applications. Distribution Networks: Analysis, Control and Optimization. Machine learning and data mining.. Selected Publications Wang, B. D., Hsiao-Dong Chiang . 2011. "ELITE: Ensemble of Optimal, Input-Pruned Neural Networks Using TRUST-TECH." IEEE Transactions on Neural Networks 22 (1) : 96-109 . Chiang, Hsiao-Dong . 2010. Direct Methods for Stability Analysis of Electric Power Systems: Theoretical Foundation, BCU Methodologies, and Applications. : 494 pp.. New York, United States: Wiley. Chiang, Hsiao-Dong, B. Wang, Q-Y Jiang . 2009. "Application of TRUST-TECH methmodology in optimal power flow of power systems." In Optimization in the Engery Industry , 297-318. Springer. Reddy, C. H., Hsiao-Dong Chiang, B. Rajaratnam . 2008. "TRUST-TECH-based Expectation Maximization for Learning Finite Mixture Models." IEEE Transactions on Pattern Analysis and Machine Intelligence 30 (7) : 1146-1157 . Chiang, Hsiao-Dong, J. Lee . 2006. "Trust-Tech Paradigm for Computing high-quality optimal solutions: methods and theory." In Modern Heuristic Optimization Techniques: Theory and Applications to Power Systems . John-Wiley.. Selected Awards and Honors IEEE Fellow (IEEE) 1997 PES Working Group Award (IEEE Power Engineering Society) 1996 Outstanding Education Award (Cornell University) 1990 Presidential Young Investigator Award (National Science Foundation) 1989 Engineering Initiation Award (National Science Foundation, U.S.A) 1988. Education BS (Electrical Engineering), National Taiwan University, 1979 MS (Electrical Engineering), National Taiwan University, 1981 Ph D (Electrical Engineering), University of California-Berkeley, 1986. Research Group Members Graduate Students Zhiyong Hao zh272@cornell.edu Electrical and Computer Engineering Robert Owusu-Mireku ro82@cornell.edu Electrical and Computer Engineering . diff --git a/src/data/compiled_bios/5478.txt b/src/data/compiled_bios/5478.txt new file mode 100644 index 0000000000..bd8d4fe8ac --- /dev/null +++ b/src/data/compiled_bios/5478.txt @@ -0,0 +1 @@ +David Forbes Delchamps Associate Professor Electrical and Computer Engineering Frank H T Rhodes Hall, Room 329 607/255-6447 dfd1@cornell.edu Back to Directory: Biography David F. Delchamps is originally from Mountain Lakes, NJ. He majored in electrical engineering as an undergraduate at Princeton and received his doctorate in applied mathematics from Harvard. Since 1982 he has been on the faculty of the School of Electrical and Computer Engineering and a member of the Center for Applied Mathematics at Cornell, where he is currently an associate professor. He is the author of a number of technical articles along with the book State Space and Input-Output Linear Systems (Springer, 1988). He is a senior member of IEEE and a member of the American Mathematical Society. Hie does research in the broad area of control and systems theory. He has a special interest in applying ideas from dynamical systems theory and evolutionary game theory to the modeling and analysis of large complex systems.. Research Interests Applications of dynamical systems theory to control and signal processing; evolutionary game theory, with applications to large complex systems. Complex Systems, Network Science and Computation Signal and Image Processing Systems and Networking . Teaching Interests Recently I have taught three courses on a regular basis. One is ECE 3250, Mathematics of Signal and System Analysis, which is an important course for students intending to concentrate in the systems area of ECE. Another is ENGRI 1260, Introduction to Signals and Telecommunication, now retired. The third is a course related to my research, ECE 4271, Evolutionary Process, Evolutionary Algorithms, Evolutionary Games. I have also taught ECE 5210, Linear System Theory, many times; ECE 4670, Digital Communications, one time; and ECE 2200, Signals and Information, one time, with the expectation that I'll teach it again in the relatively near future. Service Interests ECE Curriculum and Standards Committee Cornell University Faculty Committee for three years ending in 2013 Chair, College of Engineering Academic Integrity Hearing Board (July 2012 - present) Cornell Educational Policy Committee (three recent terms as Chair, including July 2013 - present) Cornell Faculty Senator from ECE CU President's Council on Alcohol and Other Drugs CU President's Council on Mental Health and Welfare ECE Undergraduate Advising Coordinator ECE Curriculum and Standards Committee ECE Policy Committee 2012 - 2015. Selected Publications Delchamps, David Forbes . 1996. "Polynomial and Matrix Fraction Descriptions." In The Control Handbook , edited by William S. Levine , 481-494. Boca Raton, FL : CRC Press. Dobson, I., David Forbes Delchamps . 1994. "Truncated Fractal Basin Boundaries in the Pendulum with Nonperiodic Forcing." Journal of Nonlinear Science 4 (4) : 315-328 . Delchamps, David Forbes . 1993. "Nonlinear Dynamics of Oversampling A-to-D Converters." Proceedings of the 32nd IEEE Conference on Decision and Control, San Antonio, TX , December. Delchamps, David Forbes . 1990. "Stabilizing a Linear-System with Quantized State Feedback." IEEE Transactions on Automatic Control 35 (8) : 916-924 . Delchamps, David Forbes . 1992. "Quantizer Dynamics and Their Effect on the Performance of Digital Feedback Control Systems." Proceedings of the 1992 American Control Conference, Chicago, IL , June.. Selected Awards and Honors Michael Tien Award for Excellence in Teaching (Cornell University) 2015 College of Engineering Tau Beta Pi Award for Excellence in Teaching (Cornell University) 2015 Kendall S. Carpenter Advising Award (Cornell University) 2009 Sonny Yau '72 Award for Excellence in Teaching (Cornell University) 2009 Cornell University IEEE Student Branch Award for Excellence in Teaching (Cornell University) 2004. Education BS (Electrical Engineering), Princeton University, 1976 MS (Engineering), Harvard University, 1977 Ph D (Engineering), Harvard University, 1982. diff --git a/src/data/compiled_bios/5479.txt b/src/data/compiled_bios/5479.txt new file mode 100644 index 0000000000..017daf19d4 --- /dev/null +++ b/src/data/compiled_bios/5479.txt @@ -0,0 +1 @@ +Christina Delimitrou Assistant Professor, John and Norma Balen Sesquicentennial Faculty Fellow Electrical and Computer Engineering Frank H T Rhodes Hall delimitrou@cornell.edu Back to Directory: Biography Christina Delimitrou is an Assistant Professor in the Electrical and Computer Engineering Department at Cornell University. She is a member of the Computer Systems Laboratory, where she works on improving the design and management of large-scale datacenters. In 2015-2016 she was a postdoctoral researcher and lecturer at Stanford University. Christina graduated from Stanford with a PhD in Electrical Engineering in 2015. As part of her PhD work, she built practical systems for cluster management and scheduling in warehouse-scale computers. She is the recipient of a Facebook Research Fellowship, a Stanford Graduate Fellowship, two ASPLOS best paper runner-up awards, an IISWC 2012 best paper nomination, and a 2014 IEEE Micro Top Picks. She has also earned an MS from Stanford (2011) and a diploma in Electrical and Computer Engineering from the National Technical University of Athens (2009).. Research Interests Christina's primary interests are in designing resource-efficient datacenters and improving the way their resources are managed. She is also interested in hardware acceleration, applied data mining, performance monitoring and debugging, cloud security, and architecture and distributed systems broadly. Systems and Networking Computer Architecture Computer Systems Computer Engineering Research Group Members. Teaching Interests In Fall 2016, I created a new graduate (Ph.D. level) course on Datacenter Computing (ECE 6960, Topics on Datacenter Computing). The course followed a mixed lecture-paper reading syllabus and covered the entire cloud computing system stack, from hardware architecture and accelerators, to datacenter OS and network systems, scheduling and cluster management, programming frameworks, and emerging cloud application designs. The students had to submit paper summaries for each paper we reviewed and participate in the in-class discussion. The course had a midterm that tested the contest covered in the lectures, and more importantly involved a large semester-long research project that students conducted in groups of two or three. Several of these projects are continuing into the Spring 2017 semester and have evolved into long-term research topics. In Spring 2018, I am teaching ECE5990, Datacenter Computing. In Fall 2018, I will be teaching ECE4750,Computer Architecture.. Selected Publications Delimitrou, C., C Kozyrakis . 2016. "Security Implications of Data Mining in Cloud Scheduling." IEEE Computer Architecture Letters 15 (2) : 109-112 . Delimitrou, Christina, Mingyu Gao, Dimin Niu, Krishna Malladi, Hongzhong Zheng, Bob Brennan, Christos Kozyrakis . 2016. "DRAF: A Low-Power DRAM-Based Reconfigurable Acceleration Fabric." Seoul June. Delimitrou, Christina, David Koeplinger, Raghu Prabhakar, Yaqi Zhang, Christos Kozyrakis, Kunle Olukotun . 2016. "Automatic Generation of Efficient Accelerators for Reconfigurable Hardware." Seoul June. Delimitrou, Christina, Christos Kozyrakis . 2016. "HCloud: Resource-Efficient Provisioning in Shared Cloud Systems." Atlanta April (2nd Quarter/Spring). Delimitrou, Christina, C. Kozyrakis . 2014. "Quality-of-Service-Aware Scheduling in Heterogeneous Datacenters with Paragon." May.. Selected Awards and Honors IEEE MICRO Top Picks Award for the Best Papers Published in 2016 in Computer Architecture Conferences, Based on Novelty and Long-term Impact 2016 Facebook Research Fellowship (Facebook) 2014 Best of Computer Architecture Letters (CAL) for 2013 \"The Net ix Challenge: Datacenter Edition" (Computer Architecture Letters) 2014 IEEE Micro's Top Picks \"Paragon: QoS-Aware Scheduling for Heterogeneous Datacenters" (IEEE Micro's) 2014 Best Poster Award \ "Improving Efficiency in Cloud Computing" (IAP-Stanford Cloud Workshop) 2013. Education Diploma in Electrical and Computer Engineering (Electrical and Computer Engineering), National Technical University of Athens, 2009 MS (Electrical Engineering), Stanford University, 2011 Ph D (Electrical Engineering), Stanford University, 2015. Websites Delimitrou Group (SAIL). Research Group Members Graduate Students Yu Gan yg397@cornell.edu Electrical and Computer Engineering Yanqi Zhang yz2297@cornell.edu Electrical and Computer Engineering . diff --git a/src/data/compiled_bios/548.txt b/src/data/compiled_bios/548.txt new file mode 100644 index 0000000000..d21f3faa6b --- /dev/null +++ b/src/data/compiled_bios/548.txt @@ -0,0 +1 @@ +Risi Kondor Associate ProfessorDepartments of Computer Science and Statistics Email: risi@cs.uchicago.edu Phone: (773) 702-3301 Office: JCL 325 Website: http://people.cs.uchicago.edu/~risi/ Research: computational harmonic analysis, machine learning diff --git a/src/data/compiled_bios/5480.txt b/src/data/compiled_bios/5480.txt new file mode 100644 index 0000000000..2121797003 --- /dev/null +++ b/src/data/compiled_bios/5480.txt @@ -0,0 +1 @@ +Peter Doerschuk Professor Meinig School of Biomedical Engineering Weill Hall, Room 135 607/2554179 Professor Electrical and Computer Engineering Phillips Hall, Room 224 pd83@cornell.edu Back to Directory: Research Interests Peter Doerschuk's research concerns biological and medical systems from the view point of computational nonlinear stochastic systems. In particular, he has contributed to computational inverse problems for biophysics, statistical image processing, and biomedical and speech signal processing. In each of these areas, important goals of his work have been to incorporate accurate physical models while at the same time developing computationally practical algorithms implemented in high-performance software systems. A wide range of spatial and temporal scales is represented in his research. At the smallest spatial scale, in collaboration with Professor J. E. Johnson (The Scripps Research Institute), he has developed algorithms and parallel software for problems associated with determining the 3-D shape of viruses from electron microscopy images and x-ray scattering data. Parallel software has played a critical role in solving these problems. At the largest spatial scale, in collaboration with Professor S. J. O'Connor (Indiana University School of Medicine), he has developed nonlinear differential equation models of the pharmacokinetics of ethanol. He has used these models to develop signal processing and pattern recognition algorithms and software for processing the outputs of a long-term implanted ethanol sensor system and to determine parameters describing the ethanol-related physiology of an individual from breath ethanol measurements. Before joining Cornell University in July 2006, Peter Doerschuk was on the faculty of Purdue University in Electrical and Computer Engineering and Biomedical Engineering. He received B.S., M.S., and Ph.D. degrees in Electrical Engineering from MIT and an M.D. degree from Harvard Medical School. After post-graduate training at Brigham and Womens' Hospital he held a post-doctoral appointment at the Laboratory for Information and Decision Systems (MIT) before joining Purdue. Artificial Intelligence Algorithms Bioengineering Biomedical Engineering Biomedical Imaging and Instrumentation Complex Systems, Network Science and Computation Computer Aided Diagnosis Computational Science and Engineering Image Analysis Signal and Image Processing Scientific Computing Remote Sensing Statistics and Machine Learning Systems and Networking Research Group Members. Selected Publications Plawecki, M H., U S. Zimmermann, V. Vitvitskiy, P C. Doerschuk, D. Crabb, S O'Connor . 2012. "Alcohol exposure rate control through physiologically based pharmacokinetic modeling.." Alcoholism, clinical and experimental research 36 (6) : 1042-1049 . Zheng, Y., Q. Wang, P C Doerschuk . 2012. "Three-dimensional reconstruction of the statistics of heterogeneous objects from a collection of one projection image of each object." Journal of the Optical Society of America A-Optics Image Science and Vision 29 (6) : 959-970 . Santisakultarm, T P., N R. Cornelius, N. Nishimura, A I. Schafer, R T. Silver, P C. Doerschuk, W L. Olbricht, C B Schaffer . 2012. "In vivo two-photon excited fluorescence microscopy reveals cardiac- and respiration-dependent pulsatile blood flow in cortical blood vessels in mice.." American Journal of Physiology. Heart and Circulatory Physiology 302 (7) : H1367-H1377 . Wang, Q., T. Matsui, T. Domitrovic, Y. Zheng, P C. Doerschuk, J E Johnson . 2013. "Dynamics in cryo EM reconstructions visualized with maximum-likelihood derived variance maps.." J Struct Biol 181 (3) : 195-206 . Gong, Yunye, Peter Doerschuk . 2016. "3-D understanding of electron microscopy images of nano bio objects by computing generative mechanical models." Paper presented at IEEE 2016 International Conference on Image Processing, Phoenix AZ , September 25.. Selected Awards and Honors Ernst A. Guillemin Thesis Prize for the MIT EECS M.Eng. thesis of Keyuan Xu, (MIT EECS) 2004 The Motorola Excellence in Teaching Award (Purdue University - School of Electrical & Computer Engineering) 2004 Fellow of the American Institute for Medical and Biological Engineering (AIMBE) (American Institute for Medical and Biological Engineering (AIMBE)) 2003 University Faculty Scholar (Purdue University) 2002 Department of Biomedical Engineering Faculty Service Award (Purdue University) 2000. Education B.S.E.E. Massachusetts Institute of Technology, 1977 M.S.E.E. Massachusetts Institute of Technology, 1979 E.E. Massachusetts Institute of Technology, 1979 Ph D (Electrical Engineering), Massachusetts Institute of Technology, 1985 M.D. (Medicine), Harvard Medical School, 1987. Websites Doerschuk Research Group. Research Group Members Graduate Students Yunye Gong yg326@cornell.edu Electrical and Computer Engineering . diff --git a/src/data/compiled_bios/5481.txt b/src/data/compiled_bios/5481.txt new file mode 100644 index 0000000000..162b40a782 --- /dev/null +++ b/src/data/compiled_bios/5481.txt @@ -0,0 +1 @@ +David A. Hammer J. Carlton Ward, Jr. Professor of Nuclear Energy Engineering Electrical and Computer Engineering Frank H T Rhodes Hall, Room 327 607/255-3916 dah5@cornell.edu Back to Directory: Biography Dr. Hammer is the J. Carlton Ward, Jr., Professor of Nuclear Energy Engineering and Professor of Electrical and Computer Engineering. He has been a Cornell faculty member since 1977. Hammer worked at the Naval Research Laboratory in 1969-1976, was a Visiting Associate Professor (part time) at the University of Maryland in 1973-1976, and was an Associate Professor at UCLA in 1977. He spent sabbatical leaves from Cornell in 1983-84, 1991 and 2004 as a Visiting Senior Fellow at Imperial College, London, in 1998 at Applied Materials, Inc., and in 2011 at the Paris Observatory, France.. Research Interests High energy density plasmas: we study the dynamics and physical properties of the hot, dense plasmas produced when fine wires are exploded by short high current pulses. Experiments carried out with single wires are investigating the physical processes of the wires during the explosion process. Experiments with 2 or more wires that cross and touch in the middle, in the form of an X, are used to generate very high energy density plasmas and high intensity x-ray point sources. Experiments with multiple wire arrays are intended to study the dynamics of the plasmas that form around the wires as they interact with each other, as well as the high energy density plasmas that form when the individual wire plasmas merge on the array axis. Many of these experiments address questions related to inertial confinement fusion. Experiments initiated from cylindrical gas puffs having different radial profiles are designed to investigate magneto-Rayleigh-Taylor instabilities. Experiments involving imploding liners are intended to help understand the fundamental physics that underlies the Sandia National Laboratories MagLIF ("Magnetized liner inertial confinement fusion") concept. Plasma measurements by optical techniques: we use the techniques of visible light and x-ray spectroscopy, laser-based diagnostic methods and advanced electro-optical instruments to study the properties of dense plasmas without perturbing them; we develop new diagnostic techniques for dense plasmas using these methods. X-rays from X-pinches for radiography: We use the tiny plasma source generated by the X pinch (see High energy density plasmas) to study the properties of near-solid-density plasmas at 10,000,000 K and we are developing this source for possible application to biomedical radiography. Astrophysics, Fusion and Plasma Physics High Energy Density Plasma Physics and Electromagnetics Research Group Members. Teaching Interests Plasma Physics and controlled fusion, Energy Seminar; electromagnetics. Selected Publications Qi, N., E. W. Rosenberg, P. A. Gourdain, P.W.L. DeGrouchy, B. R. Kusse, David A. Hammer, K. S. Bell, T. A. Shelkovenko, W. M. Potter, L. Atoyan, A. D. Cahill, M. Evans, J. B. Greenly, C. L. Hoyt, S. A. Pikuz, P. C. Schrafel, E. Kroupp, A. Fisher, Y. Maron . 2014. "Study of Gas-puff Z-pinches on COBRA." Phys. Plasmas 21 : 112702 . Douglass, J. D., David A. Hammer, S. A. Pikuz, T. A. Shelkovenko, K. S. Blesener . 2012. "Plasma Density Measurements in Tungsten Wire-array Z-pinches." Physics of Plasma 19 (7) : 072710 . Blesener, K. S., T. A. Shelkovenko, S. A. Pikuz, I. C. Blesener, David A. Hammer, Y. Maron, V. Bernshtam, R. Doron, L. Weingarten, Y. Zarnitsky . 2012. "Measuring magnetic fields in single aluminum wire plasmas with time-resolved optical spectroscopy." High Energy Density Physics 8 (3) : 224-226 . Knapp, P. F., S. B. Hansen, S. A. Pikuz, T. A. Shelkovenko, David A. Hammer . 2012. "Calibration and Analysis of Spatially Resolved X-ray Absorption Spectra from a Nonuniform Plasma." Review of Scientific Instruments 83 (7) : 073502 . Knapp, P. F., J. B. Greenly, P. A. Gourdain, C. L. Hoyt, M. R. Martin, S. A. Pikuz, C. E. Seyler, T. A. Shelkovenko, David A. Hammer . 2010. "Growth and saturation of the axial Instability in low wire number wire array z-pinches." Phys. Plasmas 17 : 012704 .. Selected Awards and Honors Cornell College of Engineering Teaching Award (Cornell University) 2006 Cornell IEEE Professor of the Year Award 2006 McCormack Advising Award 2005 IEEE Plasma Science and Applications Committee Award 2004 Cornell College of Engineering Teaching Award (Cornell University) 1998. Education BS (Physics), California Institute of Technology, 1964 Ph D (Applied Physics), Cornell University, 1969. Websites Cornell University Laboratory of Plasma Studies. Research Group Members Graduate Students Ahmed Elshafiey ae389@cornell.edu Electrical and Computer Engineering Sophia Rocco svr34@cornell.edu Electrical and Computer Engineering . diff --git a/src/data/compiled_bios/5482.txt b/src/data/compiled_bios/5482.txt new file mode 100644 index 0000000000..dcebe904db --- /dev/null +++ b/src/data/compiled_bios/5482.txt @@ -0,0 +1 @@ +Debdeep Jena David E. Burr Professor of Engineering Electrical and Computer Engineering David E. Burr Professor of Engineering Materials Science and Engineering djena@cornell.edu Back to Directory: Biography Debdeep Jena is theRichard E. Lunquist Sesquicentennial Faculty Fellow, Professor at Cornell University where he holds a joint appointment in the School of Electrical and Computer Engineering and the Deparment of Materials Science and Engineering. Debdeep Jena received the B. Tech. degree with a major in Electrical Engineering and a minor in Physics from the Indian Institute of Technology (IIT) Kanpur in 1998, and the Ph.D. degree in Electrical and Computer Engineering at the University of California, Santa Barbara (UCSB) in 2003. His research and teaching interests are in the MBE growth and device applications of quantum semiconductorheterostructures (currently III-V nitride semiconductors), investigation of charge transport in nanostructured semiconducting materials such as graphene, nanowires and nanocrystals, and their device applications, and in the theory of charge, heat, and spin transport in nanomaterials. He is the author on several journal publications, including articles in Science, Physical Review Letters, and Electron Device Letters among others. He has received two best student paper awards in 2000 and 2002 for his Ph.D. dissertation research, the NSF CAREER award in 2007, and the Joyce award for excellence in undergraduate teaching in 2010.. Research Interests Advanced Materials Energy Systems Energy and the Environment Advanced Materials Processing Materials Synthesis and Processing Nanotechnology Nonlinear Dynamics Semiconductor Physics and Devices Sensors and Actuators Solid State, Electronics, Optoelectronics and MEMs Power Electronics Research Group Members. Selected Publications Song, B., M. Zhu, Z. Hu, M. Qi, K. Nomoto, X. Yan, Y. Cao, D. Jena, H G Xing . 2016. "Ultralow-Leakage AlGaN/GaN High Electron Mobility Transistors on Si With Non-Alloyed Regrown Ohmic Contacts." IEEE Electron Device Letters 37 (1) : 16-19 . Qi, M., G. Li, V. Protasenko, P. Zhao, J. Verma, B. Song, S. Ganguly, M. Zhu, Z. Hu, X. Yan, A. Mintairov, H G. Xing, D Jena . 2015. "Dual Optical Marker Raman Characterization of Strained GaN-channels on AlN Using AlN/GaN/AlN Quantum Wells and 15N Isotopes." Applied Physics Letters 106 : 041906 . Jena, D., K. Banerjee, G H Xing . 2014. "2D CRYSTAL SEMICONDUCTORS Intimate contacts." NATURE MATERIALS 13 (12) : 1076-1078 . Vishwanath, S., X. Liu, S. Rouvimov, P C. Mende, A. Azcatl, S. McDonnell, R M. Wallace, R M. Feenstra, J K. Furdyna, D. Jena, H G Xing . 2014. "Molecular beam epitaxial growth of MoSe2 on graphite, CaF2 and graphene." . Fathipour, S., N. Ma, W S. Hwang, V. Protasenko, S. Vishwanath, H G. Xing, H. Xu, D. Jena, J. Appenzeller, A Seabaugh . 2014. "Exfoliated multilayer MoTe2 field-effect transistors." Applied Physics Letters 105 (19) : 192101-192101 .. Selected Awards and Honors Richard E. Lunquist Sesquicentennial Faculty Fellow (Cornell University) 2015 Most Valuable Contribution (Workshop on Compound Semiconductor Materials and Devices) 2014 Advisor of PhD student Faiza Faria (Winner of poster award for ICNS 2013) 2013 IBM Faculty award 2012 Young Scientist Award (International Symposium of Compound Semiconductors) 2012 Joyce award for excellence in undergraduate teaching 2010. Education BS (Electrical Engineering), Indian Institute of Technology, 1998 Ph D (Electrical and Computer Engineering), University of California, 2003. Websites Jena Group. Research Group Members Graduate Students Shyam Bharadwaj sb2347@cornell.edu Electrical and Computer Engineering Alexander Chaney aac227@cornell.edu Electrical and Computer Engineering Reet Chaudhuri rtc77@cornell.edu Electrical and Computer Engineering Austin Hickman alh288@cornell.edu Electrical and Computer Engineering Kevin Lee kl833@cornell.edu Electrical and Computer Engineering Jonathan McCandless jpm432@cornell.edu Electrical and Computer Engineering Jashan Singhal js3452@cornell.edu Electrical and Computer Engineering . diff --git a/src/data/compiled_bios/5483.txt b/src/data/compiled_bios/5483.txt new file mode 100644 index 0000000000..f3d4c2c6cf --- /dev/null +++ b/src/data/compiled_bios/5483.txt @@ -0,0 +1 @@ +Peter G. Jessel Professor of Practice, Director of Masters of Engineering Program Electrical and Computer Engineering Phillips Hall, Room 313 607/254-8984 peter.jessel@cornell.edu Back to Directory: Biography Dr. Jessel is currently a Professor of Practice and Director of the Masters of Engineering Program in the School of Electrical and Computer Engineering at Cornell University. His primary interest are corporate information systems and technical management. From 1995-2002 Peter was a Managing Director and Chief Information Officer at Towers Perrin responsible for the development, implementation and management of the Firms technology worldwide. Prior to joining Towers Perrin, he was Senior Vice President of Information Technology at EMI Music.Before that, he was at McKinsey & Co. as one of the leaders of their IT/S practice.From 1977 to 1986, he held a number of executive positions at Data General and Digital Equipment Corp. in planning, operations and development. Dr. Jessel has been a faculty member at the University of Pennsylvania and the Massachusetts Institute of Technology. He holds a Ph.D. in Electrical Engineering and Computer Science from MIT, an MBA from the Wharton School of the University of Pennsylvania, and BEE and M.S. degrees from Cornell University.. diff --git a/src/data/compiled_bios/5484.txt b/src/data/compiled_bios/5484.txt new file mode 100644 index 0000000000..0a1652564f --- /dev/null +++ b/src/data/compiled_bios/5484.txt @@ -0,0 +1 @@ +Charles R. Johnson Geoffrey S.M. Hedrick Professor Electrical and Computer Engineering Frank H T Rhodes Hall, Room 390 607/255-0429 Frank H T Rhodes Hall, Room 390 607/255-0429 crj2@cornell.edu Back to Directory: Biography C. Richard Johnson, Jr. was born in Macon, GA in 1950. He received a PhD in Electrical Engineering from Stanford University, along with the first PhD minor in Art History granted by Stanford, in 1977. After 4 years on the faculty at Virginia Tech, he joined the Cornell University faculty in 1981, where he is the Geoffrey S. M. Hedrick Senior Professor of Engineering and a Stephen H. Weiss Presidential Fellow. At the start of 2007, following 30 years of research on adaptive feedback systems theory and blind equalization in communication receivers, Professor Johnson accepted a five-year appointment as an Adjunct Research Fellow of the Van Gogh Museum (Amsterdam, the Netherlands) to facilitate the interaction of art historians and conservation specialists with algorithm-building signal processors. In 2012, Professor Johnson was appointed a Scientific Researcher of the Rijksmuseum. Research Interests Digital Signal Processing (Primary Specialization: 1977-1991: Adaptive Feedback Systems Theory; 1991-2005: Blind Equalization in Digital Communication Receivers; 2005-present: Signal Processing Algorithms in Support of Painting Analysis) Signal and Image Processing Systems and Networking Research Group Members. Teaching Interests Applications of adaptive signal processing in communication and control systems Applications of image processing to analysis of old master paintings Digital feedback control design. Selected Publications Liedtke, Walter, Jr. Johnson, Don H. Johnson . 2012. "Canvas Matches in Vermeer: A Case Study in the Computer Analysis of Fabric Supports." Metropolitan Museum Journal 47 (1) : 99-106 . van Tilborgh, L., T. Meedendorp, E. Hendriks, D. H. Johnson, Jr. Johnson, R. G. Erdmann . 2012. "Weave Matching and Dating of Van Gogh's Paintings: An Interdisciplinary Approach." The Burlington Magazine 153 (112-122) . Treichler, J. R., Jr. Johnson, M. G. Larimore . 2001. Theory and Design of Adaptive Filters. Prentice-Hall. Johnson, Jr., C. Richard, W. A. Sethares, A. G. Klein . 2011. Software Receiver Design. Cambridge University Press. Anderson, B.D.O., R. R. Bitmead, Jr. Johnson, P. V. Kokotovic, R. L. Kosut, I.M.Y. Mareels, L. Praly, B. D. Riedle . 1986. Stability of Adaptive Systems: Passivity and Averaging Analysis. MIT Press.. Selected Awards and Honors Fulbright Research Scholar (Institute of International Education) 2005 Stephen H. Weiss Presidental Fellow (Cornell University) 2004 Fellow (IEEE) 1989 C. Holmes MacDonald Outstanding Teacher (Eta Kappa Nu) 1983 Oustanding Young Electrical Engineer (Eta Kappa Nu) 1982. Education BEE (Electrical Engineering), Georgia Institute of Technology, 1973 MS (Electrical Engineering), Stanford University, 1975 Ph D (Electrical Engineering), Stanford University, 1977. Websites Personal Website. Research Group Members Graduate Students Craig Elevitch cre26@cornell.edu Electrical and Computer Engineering . diff --git a/src/data/compiled_bios/5485.txt b/src/data/compiled_bios/5485.txt new file mode 100644 index 0000000000..565651ff36 --- /dev/null +++ b/src/data/compiled_bios/5485.txt @@ -0,0 +1 @@ +Edwin Chihchuan Kan Professor Electrical and Computer Engineering Phillips Hall, Room 325 607/255-3998 eck5@cornell.edu Back to Directory: Biography Professor Edwin Kan received his B.S. in 1984 from the National Taiwan University. He received his Ph.D. from University of Illinois at Urbana-Champaign in 1992. He was a Senior CAD Engineer at Dawn Technology from 1992-1994. From 1994-1997 he was a Research Associate at Stanford University. He joined the faculty of Electrical Engineering at Cornell in 1997 as an assistant professor. Professor Kan is now a full professor.. Research Interests Passive RF tags for locating and sensing: mixed-signal waveform shaping by nonlinear transmission lines and active devices, ultra-low power oscillator-free millimeter-sized radio link, and harmonic backscattering for indoor locating. Nanoscale CMOS systems: Device and interconnect scaling to the 10nm technology. New structures and materials for logic and memory devices. New low-voltage and low-power circuits to support further technology scaling and new system functions. CMOS molecular interface biosensors: Integrated chemical, molecular and biological sensors and actuators based on charge-controlled surface electrochemistry. Functional specificity towards ion, molecules (DNA, mRNA, proteins and vesicles), action potential, pressure, impedance and morphology such as cell metastasis, and molecular folding. Technology CAD for VLSI design: Device and process simulation, SPICE compact models, numerical methods and software engineering. Construction of model hierarchy for better analysis and synthesis of the complex design. Sensors and Actuators Nanobio Applications Nanotechnology Semiconductor Physics and Devices Bioengineering Biomedical Engineering Solid State, Electronics, Optoelectronics and MEMs Research Group Members. Teaching Interests Professor Kan teaches graduate courses on Semiconductor Memories and RFID, and undergraduate courses on Introduction to Microelectronics, Quantum Mechanics, Silicon Devices, Digital Circuit Design, RF Systems, Robust Programming, and Nanofabrication. Service Interests Prof. Kan servedas the ECE Director of Graduate Studies from 2010 to 2013.. Selected Publications Ma, Y., Edwin Chihchuan Kan . 2014. "Accurate Indoor Ranging by Broadband Harmonic Generation in Passive NLTL Backscatter Tags." IEEE Trans. Microwave Theory and Techniques (MTT) 5 (1249-1261) . Jayant, K., K. Auluck, S. Rodriguez, Y. Cao, Edwin Chihchuan Kan . 2014. "Programmable Ion-sensitive Transistor Interfaces III. Design Considerations, Signal Generation and Sensitivity Enhancement." Phys. Rev. E. 89 (5) : 052817 . Cao, Y., N. Rakhilin, X. Shen, Edwin Chihchuan Kan . 2014. "Nonamperometric CMOS Sensing of Intestinal Action Potential." Paper presented at 18th International Conference Miniaturized Systems for Chemistry and Life Science (uTAS) , October (4th Quarter/Autumn) 26. Rajwade, S. R., T. A. Naoi, K. Auluck, K. Jayant, R. B. van Dover, Edwin Chihchuan Kan . 2013. "Ferroelectric-assisted dual switching speed DRAM-Flash hybrid memory." IEEE Transactions on Electron Devices 60 (6) : 1944-1950 . Wang, Y., W.-K Yu, G. E. Suh, Edwin Chihchuan Kan . 2013. "Hiding information in Flash memory." Paper presented at IEEE Symp. Security and Privacy , San Francisco, CA , May.. Selected Awards and Honors Cornell Inventor Award (Cornell University) 2006 Robert '55 and Vanne '57 Cowie Excellence in Teaching Award (Cornell College of Engineering) 2003 Cornell Inventor Award (Cornell University) 2003 Best Chapter Chair Award (IEEE) 2002 PECASE (Presidential Early-Career Award for Scientists and Engineers) Award (US Government) 2000. Education BS (Electrical Engineering), National Taiwan University, 1984 MS (ELectrical and Computer Engineering), University of Illinois at Urbana-Champaign, 1988 Ph D (Electrical and Computer Engineering), University of Illinois at Urbana-Champaign, 1992. Websites Edwin Kan Group. Research Group Members Graduate Students Xiaonan Hui xh273@cornell.edu Electrical and Computer Engineering Pragya Sharma ps847@cornell.edu Electrical and Computer Engineering Guoyi Xu gx36@cornell.edu Electrical and Computer Engineering Jianlin Zhou jz899@cornell.edu Electrical and Computer Engineering . diff --git a/src/data/compiled_bios/5486.txt b/src/data/compiled_bios/5486.txt new file mode 100644 index 0000000000..c5569da653 --- /dev/null +++ b/src/data/compiled_bios/5486.txt @@ -0,0 +1 @@ +Ronald R. Kline Professor Electrical and Computer Engineering Frank H T Rhodes Hall, Room 394 607-255-4307 S.G. and H.E. Bovay Professor in History and Ethics of Engineering Science and Technology Studies Department in the College of Arts and Sciences RRK1@cornell.edu Back to Directory: Biography After completing a Ph.D. in the history of science from the University of Wisconsin--Madison in 1983, Ronald Kline served as director of the Center for the History of Electrical Engineering at the Institute of Electrical and Electronics Engineers (IEEE) in New York City from 1984 to 1987. He joined Cornell University in 1987, and is now Sue G. and Harry E. Bovay Professor in History and Ethics of Engineering at Cornell, and director of the Bovay Program under that name in the Engineering College. He holds a joint appointment between the School of Electrical and Computer Engineering in the College of Engineering and the Science and Technology Studies Department in the College of Arts and Sciences. Kline has supervised a dozen Ph.D. graduate students in Science and Technology Studies, who have studied the history of a wide range of technologies--from slave collars in antebellum America to laptop manufacturing in Taiwan. The author of three books and over 30 articles on the history of engineering, rural technology, cybernetics, information theory, and communication technology, Kline is currently working on a book about the digitalization of computers and communications in the United States during the Cold War. His first book, Steinmetz: Engineer and Socialist, was the subject of a PBS documentary film, "Divine Discontent," released in Summer 2014.. Research Interests History of engineering, cybernetics, information theory, and information technology; engineering ethics. Systems and Networking . Teaching Interests History of technology; history of information technology, engineering ethics.. Selected Publications Kline, Ronald R . 2015. The Cybernetics Moment, Or Why We Call Our Age the Information Age. Baltimore, MD: Johns Hopkins University Press. Kline, Ronald R . 2009. "Where are the Cyborgs in Cybernetics?." Social Studies of Science 33 (3) : 331-362 . Kline, Ronald R . 2006. "Cybernetics, Management Science, and Technology Policy - The Emergence of "Information Technology" as a Keyword, 1948-1985." Technology and Culture 47 (3) : 513-535 . Kline, Ronald R . 2004. "What Is Information Theory a Theory Of? Boundary Work among Information Theorists and Information Scientists in the United States and Britain during the Cold War." The History and Heritage of Scientific and Technical Information Systems: Proceedings of the 2002 Conference, Chemical Heritage Foundation , Medford, NJ Kline, Ronald R . 2000. Consumers in the Country: Technology and Social Change in Rural America. Paperback edition, 2002. Baltimore, MD, United States: Johns Hopkins University Press.. Selected Awards and Honors Leonardo da Vinci Medal (Society for the History of Technology (SHOT)) 2016 Outstanding Educator for Having Influenced Merrill Presidential Scholar (Enongo Lumumba-Kasongo, Cornell University) 2008 IEEE Third Millennium Medal (EEE Society on Social Implications of Technology) 2000. Education BS (Electrical Engineering), Kansas State University, 1969 MA (History of Science), University of Wisconsin-Madison, 1979 Ph D (History of Science), University of Wisconsin-Madison, 1983. diff --git a/src/data/compiled_bios/5487.txt b/src/data/compiled_bios/5487.txt new file mode 100644 index 0000000000..fd7464129f --- /dev/null +++ b/src/data/compiled_bios/5487.txt @@ -0,0 +1 @@ +Vikram Krishnamurthy Professor Cornell Tech 212/6431743 Professor Electrical and Computer Engineering vikramk@cornell.edu Back to Directory: Biography Dr. Krishnamurthy's current research interests include statistical signal processing, stochastic control & optimization with applications in social networks, radar systems and dynamics of protein molecules in biological ion channels. Dr. Krishnamurthy is the author of the 450 page book titled "Partially Observed Markov Decision Processes: Filtering to Controlled Sensing" published by Cambridge University Press in 2016. Dr. Krishnamurthy was elected Fellow of IEEE in 2004. In 2009-2010, he served as Distinguished lecturer for the IEEE Signal Processing Society. From 2010-2012, he served as Editor in Chief of IEEE Journal Selected Topics in Signal Processing. He was awarded an Honorary Doctorate from the Royal Insitute of Technology (KTH) Sweden in 2014, Canada Research Chair (2002-2016). Dr. Krishnamurthy has given plenary talks at several international conferences including International Conference on Information Fusion-2011, IEEE-Control and Decision Conference 2011, GameNets 2016. Dr. Krishnamurthy has graduated more than 20 PhD students; many of them hold leading positions in academia and industry.. Research Interests Systems and Networking Statistics and Machine Learning Complex Systems, Network Science and Computation Signal and Image Processing Research Group Members. Selected Publications Namvar Gharehshiran, O., V. Krishnamurthy, G Yin . 2017. "Adaptive Search Algorithms for Discrete Stochastic Optimization: A Smooth Best-Response Approach." IEEE Transactions on Automatic Control 62 (1) : 161-176 . Aprem, A., V Krishnamurthy . 2016. "Utility Change Point Detection in Online Social Media: A Revealed Preference Framework." IEEE Transactions on Signal Processing 1-1 . Krishnamurthy, V., E. Leoff, J Sass . 2016. "Filterbased stochastic volatility in continuous-time hidden Markov models." Econometrics and Statistics . Hoiles, W., R. Gupta, B. Cornell, C. Cranfield, V Krishnamurthy . 2016. "The Effect of Tethers on Artificial Cell Membranes: A Coarse-Grained Molecular Dynamics Study.." PLoS one 11 (10) : e0162790-e0162790 . Krishnamurthy, V., W Hoiles . 2016. "Information diffusion in social sensing." Numerical Algebra, Control and Optimization 6 (3) : 365-411 .. Education B.S.University of Auckland Ph.D. Australian National University. Websites Group Lab. Research Group Members Graduate Students Sijia Gao sg2329@cornell.edu Electrical and Computer Engineering Sujay Bhatt Hodrali Ramesh sh2376@cornell.edu Electrical and Computer Engineering Buddhika Nettasinghe dwn26@cornell.edu Electrical and Computer Engineering . diff --git a/src/data/compiled_bios/5488.txt b/src/data/compiled_bios/5488.txt new file mode 100644 index 0000000000..3904e759ab --- /dev/null +++ b/src/data/compiled_bios/5488.txt @@ -0,0 +1 @@ +Amit Lal Robert M. Scharf 1977 Professor Electrical and Computer Engineering Phillips Hall, Room 118 607/255-9374 amit.lal@cornell.edu Back to Directory: Biography Prof. Lal obtained his Bachelor of Science in Electrical Engineering from Caltech in 1990. He obtained his Ph.D. in Electrical Engineering from University of California, Berkeley. He conducted his doctoral research at the Berkeley Sensors and Actuators Center in the area of ultrasonic MEMS. After working at University of Wisconsin-Madison as an assistant professor, he is now a professor at Cornell University, in the School of Electrical and Computer Engineering. He holds more than 30 patents and has published more than 190 research papers in the area of microsystem engineering. He has served as a Program Manager at DARPA in the Microsystems Technology Office, from 2005-2009. At DARPA he managed ten and started six new programs in the area of navigation, low-energy computation, bio-robotics, and atomic microsystems. He is the recipient of the NSF CAREER award, and the Whitaker Foundation Award. With his students he has won several best paper awards at the IEEE Ultrasonics and Frequency Control Symposium, and IEEE NEMS conferences. He is also a recipient of the Department of Defense Exceptional Service Award, and a Best Program Manager Award for his work at DARPA. In addition to School of Electrical and Computer Engineering, Prof. Lal is a field member of Biomedical Engineering, Applied Engineering Physics, Mechanical and Aerospace Engineering Departments. He is a member of Cornell CCMR, NBTC, and KAUST-CU Centers.. Research Interests Professor Lal's interests are in developing concepts and technologies leading to integrated microsystems using micro and nanoscale fabrication techniques. He directs the SonicMEMS Laboratory, which works on very diverse topics aimed at transforming the way world can be viewed. The current focus of his research is on: (1) Gigahertz Ultrasonic for chip-scale communications, sensing, and computation, (2) Near zero power sensors for long-lifetime IoT, (3) Ultrasonic inertial sensors based on surafce acoustic waves, (4) Long term stable sensors that utilize laser locked to optical transitions of alkali metals as Constant-of-Nature on chip, (5) Bulk PZT sensors and actuators, and (6) Chip-scale manipulation of electron and ion beams. Advanced Materials Processing Advanced Materials Fluid Dynamics and Rheology Sensors and Actuators Microfluidics and Microsystems Nanobio Applications Nanotechnology Bioengineering Biomedical Engineering Biomedical Imaging and Instrumentation Microfluidics Signal and Image Processing Neuroscience Biomechanics and Mechanobiology Solid State, Electronics, Optoelectronics and MEMs Research Group Members. Teaching Interests Solid state electromechanical devices, integrated circuits, advanced MEMS and NEMS Service Interests Transducers Technical Program Committee, IEEE Ultrasonics and Frequency Control Technical Program Committee, ECE recruiting committee, reviewer for several journals, IEEE Sensors Council. Selected Publications Ramkumar, A., Amit Lal, D. A. Paduch, P. N. Schlegel.2009."An Ultrasonically Actuated Silicon-Microprobe-Based Testicular Tubule Assay." IEEE Transactions on Biomedical Engineering56(11):2666-2674. Bozkurt, A., R. F. Gilmour, Amit Lal.2009."Balloon-Assisted Flight of Radio-Controlled Insect Biobots." IEEE Transactions on Biomedical Engineering56(9):2304-2307. Duggirala, R., R. G. Poicawich, M. Dubey, Amit Lal.2008."Radioisotope Thin-film Fueled Microfabricated Reciprocating Electromechanical Power Generator." Journal of Microelectromechanical Systems17(4):837-849. Gupta, S. K., V. Pinrod, S. Nagid, B. Davaji, Amit Lal.2016. "Vibration Powered RF-Transponder for Sensing Low Frequency Motion Events." Paper presented at 16th International Conference on Micro and Nanotechnology for Power Generation and Energy Conversion Applications, PowerMEMS, Paris, France,December 6. Nadig, S., V. Pinrod, S. Ardanuc, Amit Lal.2016. "In-run scale factor and drift calibration of MEMS gyroscopes with rejection of acceleration sensitivities." Paper presented at IEEE the 3rd International Symposium on Inertial Sensors and Systems Piscataway, NJ, USA,February 22.. Selected Awards and Honors Robert M. Scharf 1977 Professor(College of Engineering, Cornell University)2015 Best Paper Award - Jason Hoople(IEEE UFFC)2014 Best Paper Award - Po-Cheng Chen(IEEE MEMS)2014 HHMI Visiting Scientist(Janelia Farms)2012 Intel Fellowship - for Steven Tin(Intel)2010. Education B.S. (Electrical Engineering), California Institute of Technology, 1990 Ph.D. (Electrical Engineering), University of California-Berkeley, 1996. Websites Cornell SonicMEMS Lab. Research Group Members Graduate Students Mamdouh Abdelmejeed moa35@cornell.edu Electrical and Computer Engineering Priya Balasubramanian psb79@cornell.edu Electrical and Computer Engineering June Ho Hwang jh882@cornell.edu Electrical and Computer Engineering Jessica (Yutong) Liu yl2724@cornell.edu Electrical and Computer Engineering Di Ni dn273@cornell.edu Electrical and Computer Engineering Visarute Pinrod vp239@cornell.edu Electrical and Computer Engineering Adarsh Ravi ar2256@cornell.edu Electrical and Computer Engineering Alexander Ruyack arr68@cornell.edu Electrical and Computer Engineering . diff --git a/src/data/compiled_bios/5489.txt b/src/data/compiled_bios/5489.txt new file mode 100644 index 0000000000..02f2205498 --- /dev/null +++ b/src/data/compiled_bios/5489.txt @@ -0,0 +1 @@ +Daniel Dongyuel Lee Professor Cornell Tech Professor Electrical and Computer Engineering ddl46@cornell.edu Back to Directory: Biography Dr. Daniel Dongyuel Lee is currently a Professor in Electrical and Computer Engineering at Cornell Tech and Executive Vice President for Samsung Research. Until 2018, he was the UPS Foundation Chair Professor in the School of Engineering and Applied Science at the University of Pennsylvania. He received his A.B. summa cum laude in Physics from Harvard University and his Ph.D. in Condensed Matter Physics from the Massachusetts Institute of Technology in 1995. Before coming to Penn, he was a researcher at AT&T and Lucent Bell Laboratories in the Theoretical Physics and Biological Computation departments. He is a Fellow of the IEEE and AAAI and has received the National Science Foundation CAREER award and the Lindback award for distinguished teaching. He was also a fellow of the Hebrew University Institute of Advanced Studies in Jerusalem, an affiliate of the Korea Advanced Institute of Science and Technology, and organized the US-Japan National Academy of Engineering Frontiers of Engineering Symposium and Neural Information Processing Systems (NIPS) conference. His group focuses on understanding general computational principles in biological systems and on applying that knowledge to build autonomous systems.. Related Links Daniel Lee at Cornell Tech. diff --git a/src/data/compiled_bios/549.txt b/src/data/compiled_bios/549.txt new file mode 100644 index 0000000000..2b679df975 --- /dev/null +++ b/src/data/compiled_bios/549.txt @@ -0,0 +1 @@ +Robert Grossman Frederick H. Rawson Distinguished Service Professor in Medicine and Computer Science Jim and Karen Frank Director, Center for Translational Data Science (CTDS) Co-Chief, Section of Computational Biomedicine and Biomedical Data Science, Dept. of Medicine Chief Research Informatics Officer (CRIO), Biological Sciences Division Email: rgrossman1@uchicago.edu Phone: 773-702-5660 Office: JCL 246 Website: rgrossman.com Research: data science, deep learning, machine learning, platforms to support data science, translational data science Projects: Gen3 data commons platform Genomic Data Commons (GDC) Kids First Data Resource BRAIN Commons Portable Format for Analytics (PFA) diff --git a/src/data/compiled_bios/5490.txt b/src/data/compiled_bios/5490.txt new file mode 100644 index 0000000000..d25e3f3c5c --- /dev/null +++ b/src/data/compiled_bios/5490.txt @@ -0,0 +1 @@ +Jos F. Martnez Professor Electrical and Computer Engineering Frank H T Rhodes Hall, Room 336 607/255-1874 martinez@cornell.edu Back to Directory: Biography Jos Martnez is Professor of Electrical and Computer Engineering , faculty member of the graduate fields of Computer Science and Systems Engineering , and faculty Fellow of the Atkinson Center for a Sustainable Future at Cornell . He is part of Cornells Computer Systems Laboratory . Prof. Martnez is currently the hardware theme lead for the Center for Research in Intelligent Storage and Processing in Memory (CRISP) . He is also co-founder and part of the Executive Committee of Cornells Initiative for Digital Agriculture (CIDA) . Prof. Martnezs research has received a number of awards over the years; among them: two IEEE Micro Top Picks papers (2003 and 2007); a HPCA Best Paper award (2005), as well as MICRO and HPCA Best Paper nominations (2006 and 2015); a NSF CAREER Award (2006); two IBM Faculty Awards (2006 and 2009); and a Distinguished Educator Award (2011) by the University of Illinois Computer Science Department (his graduate alma mater). On the teaching side, he has have been recognized with two Kenneth A. Goldman 71 and one Dorothy and Fred Chau MS74 College of Engineering teaching awards (2005, 2014, and 2018, resp.); a Ruth and Joel Spira Award for Teaching Excellence (2015); twice as the Most Influential College Educator of a Merrill Presidential Scholar (2007 and 2016); and as the 2011 Tau Beta Pi Professor of the Year in the College of Engineering. Prof. Martnez served as Editor in Chief of IEEE Computer Architecture Letters from 2013 through 2016, and in 2017 as Chair of the IEEE Computer Societys Transactions Operating Committee, in charge of overseeing all of the Societys journal publications. He was Program Co-chair of MICRO 2009 and Program Chair of HPCA 2016, and is General Co-chair of ISCA 2020. Prof. Martnez graduated from the Universidad Politcnica de Valencia in Spain, and earned MS and Ph.D. degrees from the University of Illinois at Urbana-Champaign.. Research Interests Prof. Martnez's research area is computer architecture. His research interests include reconfigurable and self-optimizing architectures, architectural impact of disruptive technologies (e.g., on-chip nano photonics), and hardware-software interaction. Computer Architecture Computer Systems Computer Engineering Research Group Members. Teaching Interests Prof. Martnez is the Chair of the Computer Engineering teaching unit in ECE, and a member of ECE's Curriculum and Standards Committee. He usually teaches ECE 5750 (Advanced Computer Architecture, a core computer engineering graduate course), and ENGRD 2400 (Computer Systems Programming, which he created in 2016).. Selected Publications Wang, X., S. Chen, J. Setter, Jose F. Martinez.2017."SWAP Effective fine-grain management of shared last-level caches with minimum hardware support.." Intl. Symp. on High Performance Computer Architecture (HPCA). Wang, X. , Jose F. Martinez.2016. "ReBudget: Trading off efficiency vs. fairness in market-based multicore resource allocation via runtime budget reassignment." March. Hurkat, S., J. Choi, E. Nurvitadhi, Jose F. Martinez, R. Rutenbar.2015."A fast hierarchical implementation of sequential tree-reweighted belief propagation for probabilistic inference.." Intl. Conf. on Field-Programmable Logic (FPL). Wang, X., Jose F. Martinez.2015. "XChange: A Market-Based Approach to Scalable Dynamic Multi-resource Allocation in Multicore Architectures." Paper presented at Intl. Symp. on High-Performance Computer Architecture (HPCA), San Francisco, CA Feb. 2015 Weisz, G., Y. Wang, S. Hurkat, M. Nguyen, J. C. Hoe, Jose F. Martinez.2014. "GraphGen: An FPGA Framework for Vertex-centric Graph Computation." Paper presented at Intl. Symp. on Field-Programmable Custom Computing Machines (FCCM),May.. Selected Awards and Honors Program Chair(HPCA)2016 Best Paper Nomination, HPCA 2015(High Performance Computer Architecture)2015 College of Engineering, Kenneth A. Goldman '71 Excellence in Teaching Award(College of Engineering)2014 Professor of the Year(Tau Beta Pi Engineering Honor Society)2011 Distinguished Educator Award in the inaugural class of alumni awards(University of Illinois at Urbana-Champaign's Department of Computer Science)2011. Education B. Sc.(Computer Science & Engineering),Universidad Politcnica de Valencia,1996 M.S. (Computer Science),University of Illinois at Urbana-Champaign,1999 Ph.D. (Computer Science),University of Illinois at Urbana-Champaign,2002 . Websites Martnez website M3 Architecture Research Group. Research Group Members Graduate Students Helena Caminal Pallares hc922@cornell.edu Electrical and Computer Engineering Shuang Chen sc2682@cornell.edu Electrical and Computer Engineering . diff --git a/src/data/compiled_bios/5491.txt b/src/data/compiled_bios/5491.txt new file mode 100644 index 0000000000..2f8873f993 --- /dev/null +++ b/src/data/compiled_bios/5491.txt @@ -0,0 +1 @@ +Alyosha Christopher Molnar Associate Professor Electrical and Computer Engineering Phillips Hall, Room 402 607/254-8257 am699@cornell.edu Back to Directory: Biography Alyosha Molnar received a B.S. in engineering with highest honors from Swarthmore College in 1997. After working as a deckhand on a fishing boat, he joined Conexant Systems Inc in Newport Beach CA in 1998. At Conexant, he worked as a RFIC design engineer and co-led the design of their first generation direct conversion GSM transceiver, which has sold more than 20 million parts to date. He entered graduate school at UC Berkeley in 2001 and received his MSEE in 2003 for his design of an ultra-low power RF transceiver for "Smart Dust" working with Professor Kris Pister. He then joined Frank Werblin's neurobiology lab where he completed his doctoral work (still in electrical engineering), focusing on dissecting the neuronal circuitry of the rabbit retina using a combination of electrophysiology, pharmacology and anatomy. After receiving his Ph.D. in May 2007, Alyosha joined the ECE department at Cornell as an assistant professor. He is currently an associate professor andcontinues his interdisciplinary research in integrated circuits, imaging and neurobiology.. Research Interests We have been developing integrated circuits (chips) in three general areas: ultraflexible radios, imaging and neurobiology. In Ultraflexible, software defined radios, we have introduced an new architecture of wireless receiver, using the properties of passive mixers. Both theoretical and experimental results so that this architecture provides receivers extremely good performance while providing unparalleled program-ability of its antenna interface. In imaging, we have developed a new class of pixel, in standard CMOS, and have demonstrated that arrays of these Angle Sensitive Pixels can be used to capture 3-D image information both in as parts of cameras, but also without a lens as ultra-low-cost imaging platforms suitable for simple biological and medical assays. We have also developed a new class of algorithms for solving basis pursuit problems that are especially applicable to lensless imaging. Finally, in neuroscience, we have been working with collaborators to develop better instrumentation for recording from and manipulating large numbers of interconnected neurons in tissue slice, as well as on a theoretical framework for interpreting these results and possibly applying them to new circuit topologies. Nanobio Applications Algorithms Sensors and Actuators Semiconductor Physics and Devices Biomedical Imaging and Instrumentation Image Analysis Signal and Image Processing Biomedical Engineering Bioengineering Neuroscience Systems and Synthetic Biology Solid State, Electronics, Optoelectronics and MEMs Research Group Members. Teaching Interests Teaching this year was split between ECE 2100 (Spring 2010, 2011), with an average of 60+ students. This is a lab class for sophomores. I made several adjustments, including adding a new lab (the "black box lab") which was especially effective in getting students engaged in thinking about circuits. In 2010, ECE2100 generated student reviews well above the college average. In the Fall I taught a graduate class (ECE5040) in "neural interfaces to ECE and BME students. I also acted as faculty director of 2010's CATALYST academy for promising high-school students from under-represented minorities. This involved designing and overseeing 6 week-long projects for groups of 6 students: at least one of these students has been admitted early decision to Cornell. Service Interests In the department, co-director of ECE's M.Eng program, which has grown in both size and quality in the last two years. I have also participated in outreach and support efforts for underrepresented minorities, as part of CATALYST, as well as dinners with visiting URMs, etc.. Selected Publications Lee, C., B. Johnson, T. Jung, Alyosha Christopher Molnar.2016."A 72 60 Angle-Sensitive SPAD Imaging Array for Lens-less FLIM.."Sensors (Basel, Switzerland)16(9). Jayasuriya, S., S. Sivaramakrishnan, E. Chuang, D. Guruaribam, A. Wang, Alyosha Christopher Molnar.2015."Dual light field and polarization imaging using CMOS diffractive image sensors.."Optics Letters40(10):2433-6. Hirsch, M., S. Sivaramakrishnan, S. Jayasuriya, A. Wang, Alyosha Christopher Molnar, R. Raskar, G. Wetzstein.2014."A Switchable Light Field Camera Architecture with Angle Sensitive Pixels and Dictionary-based Sparse Coding."Paper presented at International Conference on Computational Photography (ICCP),May. Yang, D., Alyosha Christopher Molnar.2014."A Widley Tunable Active Duplexing Transceiver with 6dB NF, - 18dBm Transmitted Power, and 33dB Rx/Tx Isolation."Paper presented at Radio Frequency Integrated Circuits Symposium (RFIC) Yksel, H., D. Yang, Alyosha Christopher Molnar.2014."A Circuit-level Model for Accurately Modeling 3rd Order Nonlinearity in CMOS Passive Mixers."Paper presented at Radio Frequency Integrated Circuits Symposium (RFIC). Selected Awards and Honors IEEE Sensors Journal Best Paper Award(IEEE)2017 Darlington Best Paper Award(IEEE Circuits and Systems Society)2016 * Qualcomm Innovation Fellowship (awarded to Suren Jayasuriya)(Qualcomm)2015 James and Mary Tien Excellence in Teaching Award(Cornell)2014 Best Paper Award, ICCP2014. Education B.S. (Engineering),Swarthmore College,1997 M.S. (Electrical Engineering),University of California-Berkeley,2003 Ph.D. (Electrical Engineering),University of California-Berkeley,2007. Websites Molnar Group. Research Group Members Graduate Students Zach Boynton zgb4@cornell.edu Electrical and Computer Engineering Shimin Huang sh2378@cornell.edu Electrical and Computer Engineering Daniel Palmer dmp286@cornell.edu Electrical and Computer Engineering Edward Szoka ecs227@cornell.edu Electrical and Computer Engineering Melissa White mjw336@cornell.edu Electrical and Computer Engineering Robin Ying rcy22@cornell.edu Electrical and Computer Engineering . diff --git a/src/data/compiled_bios/5492.txt b/src/data/compiled_bios/5492.txt new file mode 100644 index 0000000000..2bd3148393 --- /dev/null +++ b/src/data/compiled_bios/5492.txt @@ -0,0 +1 @@ +Francesco Monticone Assistant Professor Electrical and Computer Engineering francesco.monticone@cornell.edu Back to Directory: Biography Francesco Monticone is an Assistant Professor of Electrical and Computer Engineering at Cornell University. He received the B.Sc. and M.Sc. (summa cum laude) degrees from Politecnico di Torino, Italy, in 2009 and 2011, respectively, and the Ph.D. degree in Electrical and Computer Engineering from The University of Texas at Austin, Austin, TX, in 2016. Dr. Monticone joined the faculty of Cornell University in January 2017. Dr. Monticone has authored and co-authored more than 100 scientific contributions in peer-reviewed journal papers, book chapters, and peer-reviewed conference proceedings, receiving more than 2400 citations, and has given over 20 invited talks and seminars. His first-author papers have appeared in several high-impact journals, including Physical Review Letters (three times selected as Editors Suggestion), Nature Nanotechnology, Proceedings of the IEEE, Optica, and Science. He received the U.S. Air Force Office of Scientific Research (AFOSR) Young Investigator Program Award (YIP) in 2018. Dr. Monticone is a member of the IEEE, the American Physical Society (APS), the Optical Society of America (OSA), and a full member of the International Union of Radio Science (URSI).. Research Interests Our current research interests are in the areas of applied electromagnetics, metamaterials, plasmonics, and nanophotonics, with applications ranging from microwaves to optical frequencies. We investigate - theoretically, numerically and experimentally - innovative and extreme aspects of wave interaction with engineered metamaterials and nano-structures, which may have strong scientific and practical impact in the coming years. We have recently been working on a broad range of topics including extreme scattering engineering, cloaking and invisibility, nanoparticles, nanocircuits, nanoantennas, parity-time symmetry, non-Hermitian electromagnetic systems, advanced metasurfaces, and topological electromagnetics/photonics, with particular emphasis on cross-disciplinary research that takes inspiration from different scientific domains. In this context, we have also extensively worked on translating and exploiting well-established methods and concepts from microwave/antenna engineering and circuit theory to the realm of optics, photonics and nanotechnology. Nanotechnology Advanced Materials Processing Nonlinear Dynamics Optical Physics and Quantum Information Science Solid State, Electronics, Optoelectronics and MEMs Research Group Members. Teaching Interests Established two new courses in the school'scurriculum: ECE 4380/AEP 4450: Electromagnetic and Optical Metamaterials ECE 5970: Molding Light Flow: Advanced Electrodynamics of Complex Media. Selected Publications Hassani Gangaraj, S. A., Monticone, Francesco. 2018. "Topological Waveguiding near an Exceptional Point: Defect-Immune, Slow-Light, and Loss-Immune Propagation." Phys. Rev. Lett. 121: 093901. Hassani Gangaraj, S. A., Silveirinha, M. G., Hanson, G. W., Antezza, M., Monticone, Francesco. 2018. Optical torque on a two-level system near a strongly nonreciprocal medium. Phys. Rev. B 98: 125146. Doeleman, H. M., Monticone, Francesco, den Hollander, W., Al, A., Koenderink, A. F. 2018. Experimental observation of a polarization vortex at an optical bound state in the continuum. Nat. Photonics 12: 397401. Monticone, Francesco, A. Al.2017."Metamaterial, Plasmonic and Nanophotonic Devices."Reports on Progress in Physics 80 (3). Monticone, Francesco, A. Al.2016."Invisibility Exposed: Physical Bounds on Passive Cloaking."Optica3(7):718-724.. Selected Awards and Honors AFOSR Young Investigator Program Award (YIP) (US Air Force Office of Scientific Research (AFOSR)), 2018 Inaugural Margarida Jacome Dissertation Award(UT Austin, Department of Electrical and Computer Engineering)2017 Raj Mittra Travel Grant Award (IEEE Antennas and Propagation Society) 2017 Three times selected as "Editor's Suggestion" in Physical Review Letters (American Physical Society) Best Paper Award,(Metamaterials congress)2013. Education B.S. (Electronics Engineering),Politecnico di Torino,2009 M.S. (Electronics Engineering),Politecnico di Torino,2011 Ph.D. (Electrical and Computer Engineering),The University of Texas at Austin,2016. Websites Monticone Research Group. Research Group Members Graduate Students Mohamed Abdelrahman mia37@cornell.edu Electrical and Computer Engineering Aobo Chen ac2299@cornell.edu Electrical and Computer Engineering Zeki Hayran zh337@cornell.edu Electrical and Computer Engineering Kunal Shastri kks75@cornell.edu Electrical and Computer Engineering . diff --git a/src/data/compiled_bios/5493.txt b/src/data/compiled_bios/5493.txt new file mode 100644 index 0000000000..879ee08406 --- /dev/null +++ b/src/data/compiled_bios/5493.txt @@ -0,0 +1 @@ +Kirstin Hagelskjaer Petersen Assistant Professor Electrical and Computer Engineering kirstin@cornell.edu Back to Directory: Biography Natural swarms, such as ants, bees, and termites, exhibit sophisticated colony level behaviors with remarkably scalable and error tolerant properties. Their evolutionary success stems from more than just intelligent individuals, it hinges on their morphology, their physical interactions, and the way they shape and leverage their environment. Petersen'sresearch explores how the same principles can be leveragedto achieve advanced autonomy in robot collectives, through hardware and software co-development, and by integrating the shared environment into the design process. Currentresearch themes span collective robotic construction, human swarm interaction,soft robot collectives, biological swarms, and bio-hybrid collectives. Kirstin did her postdoctoral work with Director Sitti at the Max Planck Institute for Intelligent Systems 2014-2016 and became a fellow with the Max Planck ETH Center for Learning Systems in 2015. Her thesis was completed in 2014 with Professor Nagpal at Harvard University and the Wyss Institute for Biologically Inspired Engineering.She completed a masters in Computer Systems Engineering with Professor Hallam at the University of Southern Denmark in2008, and a bachelor in electro-technical engineering with Odense University College of Engineering in2005.. Research Interests Robotics Artificial Intelligence Sensors and Actuators Rapid Prototyping Computer Architecture Computer Engineering Research Group Members. Selected Publications Hines, L., K. Petersen, G Z. Lum, M Sitti.2016."Soft Actuators for Small-Scale Robotics."Advanced Materials, 1521-4095. Hines, L., K. Petersen, M Sitti.2016."Inflated Soft Actuators with Reversible Stable Deformations." Advanced Materials28(19):3690-3696. Petersen, Kirstin, P. Bardunias, N. Napp, J. Werfel, R. Nagpal, S. Turner.2015."Arrestant property of recently manipulated soil on Macrotermes michaelseni as determined through visual tracking and automatic labeling of individual termite behaviors."Journal of Behavioral Processes, 116:8-11. Werfel, J., Kirstin Petersen, R. Nagpal.2014."Designing collective behavior in a termite-inspired robot construction team." Science343(6172):754-758. Petersen, Kirstin, J. Werfel, R. Nagpal.2011."TERMES: An Autonomous Robotic System for Three-Dimensional Collective Construction.". Selected Awards and Honors Elisabeth Schiemann Kolleg Fellow with the Max Planck Society2016 Max Planck Fellowship for Postdoctoral work (10/22/2014-07/01/2016)2014 Research ranked 4th in Science Magazine's Top 10 Scientific Achievements of 2014(Science Magazine)2014. Education B. Sc.(Electro-technical Engineering),Odense University College of Engineering,2006 M. Sc. (Computer Systems Engineering),University of Southern Denmark,2008 Ph.D. (Computer Science),Harvard University,2014. Websites Collective Embodied Intelligence Lab. Research Group Members Graduate Students Haron Abdel-Raziq hma49@cornell.edu Electrical and Computer Engineering Emilie Baker erb259@cornell.edu Sibley School of Mechanical and Aerospace Engineering Steven Ceron sc2775@cornell.edu Sibley School of Mechanical and Aerospace Engineering Danna Ma dm797@cornell.edu Electrical and Computer Engineering Ryan O'Hern rmo26@cornell.edu Electrical and Computer Engineering Nialah Janae Wilson njw68@cornell.edu Sibley School of Mechanical and Aerospace Engineering . Related Links Kirstin Petersen: One of 25 amazing women in robotics in 2018 by RoboHub Cornell Chronicle: Cornell projects to cultivate digital agriculture landscape Cornell Research: Robots, Like Insects Science Daily: Gentle strength for robots Nature: Termite-inspired robots build castles. diff --git a/src/data/compiled_bios/5494.txt b/src/data/compiled_bios/5494.txt new file mode 100644 index 0000000000..6d0ef5a499 --- /dev/null +++ b/src/data/compiled_bios/5494.txt @@ -0,0 +1 @@ +Clifford R Pollock Ilda And Charles Lee Professor of Engineering Electrical and Computer Engineering Phillips Hall, Room 418 607/255-5032 crp10@cornell.edu Back to Directory: Biography Pollock was an NRC/NBS postdoctoral Fellow at the National Bureau of Standards in Boulder, CO where he participated in the development of a frequency chain that led to the adoption of a new international standard for the meter. He joined the Faculty at Cornell in 1983, where he is the Ilda and Charles Lee Professor of Engineering. He maintains a research group of 3-4 graduate students, and is actively pursuing new solid state lasers for the infrared, and high power femtosecond pulse generation. He served as director of the School of Electrical and Computer Engineering from 2014-2018 and from 2000-2007.. Research Interests My major research focus has been in tunable lasers, generation of ultrashort optical pulses, and the design of optical waveguide devices. We developed a number of broadly tunable near infrared lasers based on color centers and on Chromium-doped materials, explored new materials such as composite optical lasers, and developed methods for using the large bandwidth of these lasers to make femtosecond pulses. Current research is directed at femtosecond-duration pulses of tunable radiation, novel infrared laser sources, and LED lighting. Solid State, Electronics, Optoelectronics and MEMs Research Group Members. Teaching Interests I have recently been teaching the introductory circuits course, ECE 2100, and the senior-level laser course, ECE 4300. I expect to remain in those roles, but am looking at a new Intro course that provides a comprehensiv view of ECE. Service Interests I served as director of the School of Electrical and Computer Engineering from 2014-2018 and from 2000-2007, and spent a lot of time working on school issues such as hiring good faculty and identifying strategic directions. I am a topical editor for Optics Letters, a leading journal for laser research.. Selected Publications Bucklew, Victor G., William H. Renninger, Frank W. Wise, Clifford Raymond Pollock. 2014. "Average cavity description of self-similar lasers." Journal of the Optical Society of America B-Optical Physics 31 (4): 842-850. Pollock, Clifford Raymond, V. Bucklew. 2012. "Realizing self-similar pulses in solid-state laser systems." Journal of Optical Society of America B 29: 3027-3033. Bucklew, V., B. Wysocki, CliffordRaymond Pollock. 2012. "Femtosecond carrier dynamics in photoexcited highly ordered pyrolytic graphene." Optical Materials 34: 1299-1302. Yoshimizu, N., B. Hicks, A. Lal, Clifford Raymond Pollock. 2010. "Scanning probe nanoscale patterning of highly ordered pyrolytic graphite." Nanotechnology 21 (9): 095306-1 -- 095306-4. Pollock, Clifford Raymond. 2008. "Ultrafast Optical Pulses." In Progress in Optics , edited by Emil Wolf , 211-249. Elsevier B.V.. Selected Awards and Honors Fellow of the Optical Society of America(Optical Society of America)2010 Marsha D. McCormick Award for Excellence in Advising(Cornell University, College of Engineering)2009 Stephen H. Weiss Presidential Fellow(Cornell University)1997 IEEE Fellow1996 Ilda and Charles Lee Professor in Engineering(Cornell University)1993. Education B.S. (Electrical Engineering),Rice University,1976 M.S. (Electrical Engineering),Rice University,1979 Ph.D. (Electrical Engineering),Rice University,1981. Research Group Members Graduate Students Ajay Bhat akb96@cornell.edu Electrical and Computer Engineering . diff --git a/src/data/compiled_bios/5495.txt b/src/data/compiled_bios/5495.txt new file mode 100644 index 0000000000..64a3b1ddfe --- /dev/null +++ b/src/data/compiled_bios/5495.txt @@ -0,0 +1 @@ +Farhan Rana Joseph P. Ripley Professor of Engineering Electrical and Computer Engineering Phillips Hall, Room 323 607/255-6317 Associate Director of Electrical and Computer Engineering Electrical and Computer Engineering farhan.rana@cornell.edu Back to Directory: Biography Farhan Rana is an Associate Professor of Electrical and Computer Engineering at Cornell University. He received the B.S., M.S. (1997), and Ph.D. (2003) degrees all in Electrical Engineering from the Massachusetts Institute of Technology (MIT). Before starting the Ph.D., he worked at IBM's T. J.Watson Research Center on nanocrystal and quantum dot memory devices. He joined the faculty of Electrical and Computer Engineering at Cornell University, Ithaca, NY in 2003. He received the U.S. Defense Advanced Research Projects Agency (DARPA) Young Faculty Award in 2008, the U.S. National Science Foundation (NSF) CAREER Award in 2004, the ILX Lightwave faculty award in 2005, Cornell's Michael A. Tien Excellence in Teaching Award in 2006 and also in 2010, and the Gold Medal for Academic Performance by the Government of Pakistan. He has also received several best paper awards including the "Most Downloaded Paper" title in 2008 by the IEEE Transactions on Nanotechnology. He current serves as Associate Director of the School of Electrical and Comptuer Engineering at Cornell University.. Research Interests Established and leads the semiconductor optoelectronics research group at Cornell University in the School of Electrical and Computer Engineering. The underlying themes behind most of the research carried out by the group is understanding and engineering of the properties of electrons, photons, spins, and phonons in semiconductor micro and nano structures in order to realize novel devices, study new science at small scales in both space (micro- and nano-sized materials and devices) and time (ultrafast optical and terahertz spectroscopy and devices), and use novel physics to solve engineering problems and tackle scientific challenges in the development of new technologies. Advanced Materials Processing Advanced Materials Nanotechnology Semiconductor Physics and Devices Nonlinear Dynamics Solid State, Electronics, Optoelectronics and MEMs Research Group Members. Teaching Interests Established four new courses in the Department curriculum in six years: 1) ECE4070: Physics of Semiconductors and Nanostructures 2) ECE5310: Quantum Optics 3) ECE3030: Electromagnetic Fields and Waves 4) ECE533: Semiconductor Optoelectronics.. Selected Publications Rana, Farhan, Haining Wang.2017. "Ultrafast coherent dynamics of excitons, phonons, and plasmons in two-dimensional (2D) materials and devices"." Paper presented at Photonics West, San Francisco, January 2017. Rana, Farhan, Wang Haining, Zhang Changjian, Wei Min Chan.2016. ""Optoelectronic Properties of 2D Materials Beyond Grapphene"." Paper presented at Annual Spring Meeting of the Materials Research Society (MRS), Phoenix AZ, April Manolatou, C., H. Wang, W. Chan, S. Tiwari, F Rana.2016."Radiative and Non-Radiative Exciton Energy Transfer in Monolayers of Two-Dimensional Transition Metal Dichalcogenides." Physical Review B93(15):155422. Wang, H., C. Zhang, W. Chan, C. Manolatou, S. Tiwari, F Rana.2016."Radiative Lifetimes of Excitons and Trions in Monolayers of Metal Dichalcogenide MoS2." Physical Review B93(4):045407. Rana, Farhan.""Plasmons in Graphene: new science and new applications,"." Paper presented at Farhan Rana, Graphene 2017, Chicago, July 2017.. Selected Awards and Honors Awarded the Cornell 2016 Engineering Research Excellence Award(Cornell College of Engineering)2016 Michael Tien '72 Excellence in Teaching Award(Cornell, College of Engineering)2010 Young Faculty Investigator Award(US Department of Defense (DOD): Defense Advanced Research Projects Agency (DARPA))2008 Michael A. Tien Excellence in Teaching Award(Cornell University College of Engineering)2006 ILX Lightwave Faculty Award2005. Education B.S. (Electrical Engineering and Computer Science), Massachusetts Institute of Technology,1994 M.S. (Electrical Engineering),Massachusetts Institute of Technology,1997 Ph.D. (Electrical and Communication Engineering),Massachusetts Institute of Technology,2003. Websites Semiconductor Optoelectronics Group. Research Group Members Graduate Students Okan Koksal ok74@cornell.edu Electrical and Computer Engineering Joongwon Lee jl3755@cornell.edu Electrical and Computer Engineering . diff --git a/src/data/compiled_bios/5496.txt b/src/data/compiled_bios/5496.txt new file mode 100644 index 0000000000..4eeab9591b --- /dev/null +++ b/src/data/compiled_bios/5496.txt @@ -0,0 +1 @@ +Anthony P. Reeves Professor Electrical and Computer Engineering Frank H T Rhodes Hall, Room 392 607/255-2342 reeves@cornell.edu Back to Directory: Biography Reeves has been on the faculty of Cornell University since 1982; previously, from 1976 to 1982, he was an Assistant Professor in the School of Electrical Engineering at Purdue University. He has held visiting faculty positions at the University of Wisconsin, Madison; McGill University, Montreal, P.Q., Canada; and Pavia University, Italy. From 1987 to 1988 he was a member of the faculty of the Department of Computer Science, University of Illinois at Urbana-Champaign. Since 2000 he has also held a faculty position in the Department of Radiology at the Weill Medical College of Cornell University.. Research Interests My current research program is computer methods for analyzing digital images especially with regards to accurate image measurements and with a primary focus on biomedical applications. In collaboration with radiologists at the Weill Medical College of Cornell University, a main research objective is the automatic detection and diagnosis of lung cancer from Computer Tomography (CT) scans and the computer aided diagnosis of diseases within the chest. Other ongoing collaborative projects are related to multidimensional image analysis including: sphere tracking in microgravity, hip dysplasia in a canine model, and analysis of four dimensional (optical sections recorded over time) video microscope images. An important outgrowth of the work with the Medical College has been the development of unique web-based clinical-study data-management system that includes both clinical data and all medical images. A web-based system to support collaborative rese arch programs involving image analysis has also been developed. Biotechnology Computer Aided Diagnosis Biomedical Imaging and Instrumentation Biomedical Engineering Bioengineering Systems and Networking . Selected Publications Liang, M., W. Tang, D M. Xu, A C. Jirapatnakul, A P. Reeves, C I. Henschke, D Yankelevitz.2016."Low-Dose CT Screening for Lung Cancer: Computer-aided Detection of Missed Lung Cancers.." Radiology281(1):279-288. Liu, S., Y. Xie, A P Reeves.2016."Automated 3D closed surface segmentation: application to vertebral body segmentation in CT images.." International Journal of Computer Assisted Radiology and Surgery11(5):789-801. Reeves, Anthony P., S. Liu, Y. Xie.2016. "Image segmentation evaluation for very-large data sets." Paper presented at SPIE International Symposium on Medical Imaging,March. Reeves, A P., Y. Xie, A Jirapatnakul.2016."Automated pulmonary nodule CT image characterization in lung cancer screening.."International Journal of Computer Assisted Radiology and Surgery11(1):73-88. Xie, Y., D. F. Liang, D. F. Yankelevitz, C. I. Henschke, Anthony P Reeves.2015. "Automated Segmentation of Cardiac Visceral Fat in Low-dose Non-contrast Chest CT Images." Paper presented at SPIE International Symposium on Medical Imaging 2015. Education B.S. (Electrical Engineering),University of Kent at Canterbury,1970 Ph.D. (Electrical Engineering),University of Kent at Canterbury,1973. Websites Vision and Image Analysis Group (VIA). diff --git a/src/data/compiled_bios/5497.txt b/src/data/compiled_bios/5497.txt new file mode 100644 index 0000000000..2a2efd0d3b --- /dev/null +++ b/src/data/compiled_bios/5497.txt @@ -0,0 +1 @@ +Mert Sabuncu Assistant Professor Electrical and Computer Engineering Frank H T Rhodes Hall, Room 300 607/2559720 Assistant Professor Meinig School of Biomedical Engineering msabuncu@cornell.edu Back to Directory: Biography Mert R. Sabuncu joined Cornell University in July 2017 as Assistant Professor in the School of Electrical and Computer Engineering, with a secondary appointment in the School of Biomedical Engineering. He will be transitioning from a faculty position at the A.A. Martinos Center for Biomedical Imaging (Harvard Medical School and Massachusetts General Hospital). Dr. Sabuncu received a Ph.D. degree in Electrical Engineering from Princeton University, where his dissertation work focused on entropy-based image registration. He then moved to Massachusetts Institute of Technology (MIT) to do a post-doc at the Computer Science and Artificial Intelligence Lab (CSAIL). His post-doc work dealt with developing algorithms to analyze large-scale biomedical image data.. Research Interests Biomedical image analysis, with application focus in neurology/neuroscience Applied machine learning in bio-medicine Probabilistic modeling of biological (e.g., genetic) data Image processing, computer vision. Biotechnology Artificial Intelligence Computer Aided Diagnosis Image Analysis Signal and Image Processing Statistics and Machine Learning Bioengineering Biomedical Engineering Biomedical Imaging and Instrumentation Computational Science and Engineering Neuroscience Systems and Synthetic Biology Systems and Networking Research Group Members. Selected Publications Ge, T., M. Reuter, A. M. Winkler, A. J. Holmes, P. H. Lee, L. S. Tirrell, Mert Sabuncu.2016."Multidimensional heritability of neuroanatomical shape." Nature communications. Sabuncu, Mert, E. Konukoglu.2015."Clinical prediction from structural brain MRI scans: a large-scale empirical study."Neuroinformatics13(1). Sabuncu, Mert, B. T. Yeo, K. Van Leemput, B. Fischl, P. Golland.2010."A generative model for image segmentation based on label fusion." IEEE transactions on medical imaging29(10). Sabuncu, Mert, B. D. Singer, B. Conroy, R. E. Bryan, P. J. Ramadge, J. V. Haxby.2010."Function-based intersubject alignment of human cortical anatomy." Cerebral Cortex20(1).. Selected Awards and Honors Young Investigator Publication Impact Award (Co-authored paper)(MICCAI'11)2011 Career Development Grant (K25)(NIH NIBIB)2011 Catalyst KL2 Merit Award(Harvard)2010 Outstanding Teaching Assistant Award(Department of Electrical Engineering, Princeton University)2006. Education B.S. (Electrical and Electronic Engineering),Middle East Technical University,2001 M.Eng. (Electrical Engineering),Princeton University,2003 Ph.D. (Electrical Engineering),Princeton University,2006. Websites Sabuncu Lab. Research Group Members Graduate Students Meenakshi Khosla mk2299@cornell.edu Electrical and Computer Engineering Zhilu Zhang zz452@cornell.edu Electrical and Computer Engineering . Related Links Sabuncu Lab on Twitter. diff --git a/src/data/compiled_bios/5498.txt b/src/data/compiled_bios/5498.txt new file mode 100644 index 0000000000..80cf267318 --- /dev/null +++ b/src/data/compiled_bios/5498.txt @@ -0,0 +1 @@ +Charles Eugene Seyler Professor (Phased Retiree) Electrical and Computer Engineering Frank H T Rhodes Hall, Room 322 607/255-4967 ces7@cornell.edu Back to Directory: Biography Upon completion of his Ph.D. in plasma physics, Seyler held a post-doctoral position for two years at the Courant Institute of Mathematical Sciences at New York University working in fusion-related plasma physics. In 1978 he began work at Los Alamos National Laboratory as a research scientist in the controlled-fusion theory group. In 1981 he accepted a position in the School of Electrical Engineering at Cornell. While at Cornell Professor Seyler's research focus has been in plasma theory and simulation with specializations in space plasma physics and High Energy Density Physics. He is currently engaged in plasma simulation applied to the Cornell pulsed power experimental program.. Research Interests The state of matter called high energy density (HED) plasma occurs when the energy density is of the order of 10^11 joules m^-1. Attainment of this state is required to achieve nuclear fusion in a number of schemes based on inertial confinement. Our very limited current understanding of the dynamics of HED plasmas is mostly derived from numerical simulations. However, the vast amount of physics, large dynamical range of density and pressures, and the widely separated spatial and temporal scales creates a very challenging computational problem. Further progress is dependent on advancement of numerical methods capable of meeting these challenges. While there has been a great deal of success in addressing the modeling and computation of many of the physical process underlying HED plasmas, the simulation of phenomena that are dependent on short space and time scales remain largely unexplored. My current research is simulating HED plasmas with applications to fusion and designing computational algorithmic solutions to address some computational challenges concerning issues associated with short space-time scales. The code PERSEUS developed by my group is an extended-magnetohydrodynamic code that is capable of resolving physical processes dependent on short space and time scales without the great computational expense incurred by other methods. The simulation effort in my group is closely associated with HED Plasma experiments performed on the COBRA accelerator. The experiments have provided strong support for the validity of our computational approach. Algorithms Complex Systems, Network Science and Computation Earth and Atmospheric Science Astrophysics, Fusion and Plasma Physics High Energy Density Plasma Physics and Electromagnetics Research Group Members. Teaching Interests Fall 2014: ECE 3030 Electromagnetic Fields and Waves: 40 students 4 credits Spring 2015 : ECE 5820 10 students 4 credits Service Interests Served as the Associate Dean for Undergraduate Programs in the College of Engineering 2011-2013. . Selected Publications Zhao, X., Charles Eugene Seyler.2015."Computational Extended Magneto-hydrodynamical Study of Shock Structure Generated by Flows Past an Obstacle." Physics of Plasmas. Schrafel, P., K. Bell, J. Greenly, C. Seyler, B Kusse.2015."Magnetized laboratory plasma jets: Experiment and simulation." Physical Review E91(1). Zhao, X., Y. Yang, C E Seyler.2014."A positivity-preserving semi-implicit discontinuous Galerkin scheme for solving extended magnetohydrodynamics equations." JOURNAL OF COMPUTATIONAL PHYSICS278:400-415. Gourdain, P -, C E. Seyler, L. Atoyan, J B. Greenly, D A. Hammer, B R. Kusse, S A. Pikuz, W M. Potter, P C. Schrafel, T A Shelkovenko.2014."The impact of Hall physics on magnetized high energy density plasma jets." PHYSICS OF PLASMAS21(5). Gourdain, P -, C E Seyler.2014."Modeling of strongly collimated jets produced by high energy density plasmas on COBRA." PLASMA PHYSICS AND CONTROLLED FUSION56(3).. Selected Awards and Honors James and Mary Tien, College of Engineering award for excellence in teaching(Cornell University)2005 Kenneth A. Goldman College of Engineering award for excellence in teaching(Cornell University)2002 College of Engineering award for excellence in teaching(Cornell University)1999 Ruth and Joseph Spira Excellence in Teaching Award(Cornell University)1997. Education B.A. (Physics, Genl (Excl Biophys)), University of South Florida,1970 M.A. (Physics, Genl (Excl Biophys)),University of South Florida,1972 Ph.D. (Physica),University of Iowa,1975 . Websites Cornell University Laboratory of Plasma Studies. Research Group Members Graduate Students Zechen Zhang zz335@cornell.edu Electrical and Computer Engineering . diff --git a/src/data/compiled_bios/5499.txt b/src/data/compiled_bios/5499.txt new file mode 100644 index 0000000000..1963f6bce2 --- /dev/null +++ b/src/data/compiled_bios/5499.txt @@ -0,0 +1 @@ +James Richard Shealy Professor Electrical and Computer Engineering Phillips Hall, Room 311 607/255-4657 jrs27@cornell.edu Back to Directory: Biography After earning his doctorate, Shealy held a dual appointment at Cornell as a research associate and at General Electric as a principal staff scientist. ln 1983 he co-founded, and has chaired, the biennial international workshop on OMVPE (organometallic vapor phase epitaxy), a technique used for growing semiconductor crystals. He joined the faculty in 1987 and is active in developing Cornell's laboratory research in compound semiconductor materials and related graduate courses. At Cornell he is associated with thc National Nanofabrication Facility, Joint Services Electronics Program, and the DARPA Optoelectronics Technology Center.. Research Interests Compound Semiconductor Materials for Ultra-High-Speed Transistors (Joint Services Electronics Program) Advanced Crystal-Growth Techniques for New Semiconductors Using OMVPE (Strategic Defense Initiative Organization-lnnovative Science and Technology) Selective Deposiion of Optoelectronic Materials with OMVPE (DARPA Optoelectronic Materials Center) Semiconductor Physics and Devices Solid State, Electronics, Optoelectronics and MEMs. Teaching Interests Silicon Device Fundamentals, Micro theory Devices and applications. Selected Publications Harvard, E., R. Brown, James Richard Shealy.2011."Performance of AIGaN/GaN High-Electron Mobility Transistors with AISiN Passivation." IEEE Transactions on Electron Devices59(1):87-93. Harvard, E., R. Brown, James Richard Shealy.2010."Performance of AIGaN/GaN High-Electron Mobility Transistors with AISiN Passivation." IEEE Transactions on Electron Devices58(1):87-94. Brannick, A., N. A. Zakhleniuk, B. K. Ridley, James Richard Shealy, W. J. Schaff, L. F. Eastman.2009."Influence of Field Plate on the Transient Operation of the AlGaN/GaN HEMT." IEEE Electron Device Letters30(5):436-438. Brannick, A., N. A. Zakhleniuk, B. K. Ridley, L. F. Eastman, James Richard Shealy, W. J. Schaff.2009."Hydrodynamic Simulation of Surface Traps in the AlGaN/GaN HEMT." Microelectronics Journal40(3):410-412. Shealy, James Richard, J. L. Wang, R. Brown.2008."Methodology for Small-signal Model Extraction of AlGaNHEMTs." IEEE Transactions on Electron Devices55(7):1603-1613.. Education B.S. (Electrical and Computer Engineering),North Carolina State,1978 M.S. (Electrical and Computer Engineering),Rensselaer Polytechnic Institute,1980 Ph.D. (Electrical and Computer Engineering),Cornell University,1983. diff --git a/src/data/compiled_bios/55.txt b/src/data/compiled_bios/55.txt new file mode 100644 index 0000000000..121679247e --- /dev/null +++ b/src/data/compiled_bios/55.txt @@ -0,0 +1 @@ + I am interested in machine learning, security, privacy, game theory, blockchain and related topics. I havedesigned several robust learning algorithms, a scalable framework for achieving robustness for a range of learning methods, and a privacy preserving data publishing system. I amcurrently working on anomaly detection systems against causative poisoning attacks and malware detection with real world collected big data. I'm also working on adversarial deep learning for training generative adversarial networks (GAN) and designing robust deep neural networks against adversarial examples. Theoretically, Iutilize game theoretic analyses to model the interactions between an intelligent adversary and a machine learner, allowing defender to design robust learning strategies that explicitly account for an adversarys optimal response. Empirically, my currentresearchaims to scalable robust algorithms that can process massive amounts of data available for Internet-scale problems regarding specific cloud computing infrastructure to achieve large-scale secure learning for big data. Previously I have worked onInformation security, Network security, MRI analysis, and other Healthcare related research, andI'm still interested in these topics. If you have any common interests, feel free to contact me anddiscuss. Department of Computer Science University of Illinois at Urbana-Champaign 4108 Siebel Center 201 N. Goodwin Ave. Urbana, IL 61801, USA Bo Li Email : lxbosky at gmail dot com Or lbo at illinois dot edu Office: 4310 Siebel Assistant Professor Research Interests Home Publications Projects People teaching If your dreams do not scare you, they are not big enough. -- Ellen Johnson Sirleaf View on Mobile diff --git a/src/data/compiled_bios/550.txt b/src/data/compiled_bios/550.txt new file mode 100644 index 0000000000..4ba933b0e1 --- /dev/null +++ b/src/data/compiled_bios/550.txt @@ -0,0 +1 @@ +Robert Soare Paul Snowden Russell Distinguished Service Professor Emeritus, Departments of Mathematics and Computer Science Email: soare@cs.uchicago.edu Website: http://people.cs.uchicago.edu/~soare Research: theory Research My main research area is mathematical logic, especially the theory of recursive (i.e., computable) functions. I am studying the properties of recursively enumerable (r.e.) sets (those which can be generated by a computable procedure), particularly their algebraic structure, the degree of information they encode (Turing degree), their automorphisms, and their computational complexity properties. I am also working on the computable content of certain algebraic structures such as Boolean algebras and models of certain formal systems. Finally I am studying decision procedures for certain subclasses of the r.e. Turing degrees. diff --git a/src/data/compiled_bios/5500.txt b/src/data/compiled_bios/5500.txt new file mode 100644 index 0000000000..7c566f327a --- /dev/null +++ b/src/data/compiled_bios/5500.txt @@ -0,0 +1 @@ +Mahsa Shoaran Assistant Professor Electrical and Computer Engineering Phillips Hall, Room 428D shoaran@cornell.edu Back to Directory: Biography Mahsa Shoaran is an Assistant Professor in the School of Electrical and Computer Engineering at Cornell University. Prior to joining Cornell, she was a postdoctoral fellow at the California Institute of Technology. She received her PhD from EPFL, Switzerland, in 2015 and her B.Sc. from Sharif University of Technology. Mahsa is a recipient of both early and advanced Swiss National Science Foundation Postdoctoral Fellowships, and the NSF Award for Young Professionals Contributing to Smart and Connected Health. She was named a Rising Star in EE/CS by MIT in 2015.. Research Interests Low-power circuit design for biomedical applications, brain-computer interfaces, biomedical signal processing, on-chip classification and machine learning, neuromodulation therapies for neurological disorders. Solid State, Electronics, Optoelectronics and MEMs Neuroscience Algorithms Statistics and Machine Learning Sensors and Actuators Signal and Image Processing Research Group Members. Teaching Interests Integrated Circuits, Neural Interfaces. Selected Publications Shoaran, M., B. A. Haghi, M. Farivar, A. Emami. 2017. "Efficient Feature Extraction and Classification Methods in Neural Interfaces." the Bridge, National Academy of Engineering (NAE), vol. 47, no. 4. Shoaran, M., M. Shahshahani, M. Farivar, et al.2016."A 16-Channel 1.1mm Implantable Seizure Control SoC with Sub-WChannel Consumption and Closed-Loop Stimulation in 0.18m CMOS."IEEE Symposium on VLSI Circuits (VLSI Circuits). Shoaran, M., A. Tajalli, M. Alioto, A. Schmid, Y. Leblebici.2015."Analysis and Characterization of Variability in Subthreshold Source-Coupled Logic Circuits."IEEE Transactions on Circuits and Systems I: Regular Papers (TCAS-I)62(2):458-467. Shoaran, M., C. Pollo, K. Schindler, A. Schmid.2015."A Fully-Integrated IC with 0.85-W/Channel Consumption for Epileptic iEEG Detection."IEEE Transactions on Circuits and Systems II: Express Briefs (TCAS-II)62(2):114-118. Shoaran, M., M. H. Kamal, C. Pollo, P. Vandergheynst, A. Schmid.2014."Compact Low-Power Cortical Recording Architecture for Compressive Multichannel Data Acquisition."IEEE Transactions on Biomedical Circuits and Systems (TBCAS)8(6):857-870.. Selected Awards and Honors Recent work presented in the NAE's Frontiers of Engineering Symposium on Unraveling the Complexity of Brain2017 Best Poster Award(International Conference for Technology and Analysis of Seizures)2017 Award for Young Professionals Contributing to Smart and Connected Health(NSF)2016 Early and Advanced Postdoctoral Fellowships(Swiss National Science Foundation)2016 Rising Star in EE/CS(MIT)2015. Education B.Sc. (Electrical Engineering), Sharif University of Technology, 2008 M.Sc. (Microelectronics),Sharif University of Technology, 2010 Ph.D. (Electrical Engineering), EPFL, 2015. Websites Cornell Neuroengineering Laboratory. Research Group Members Graduate Students Shahaboddin Ghajari sg2367@cornell.edu Electrical and Computer Engineering Sanaz Sadeghi ss3842@cornell.edu Electrical and Computer Engineering Uisub Shin us52@cornell.edu Electrical and Computer Engineering Bingzhao Zhu bz323@cornell.edu Applied and Engineering Physics . diff --git a/src/data/compiled_bios/5501.txt b/src/data/compiled_bios/5501.txt new file mode 100644 index 0000000000..cbeca6080c --- /dev/null +++ b/src/data/compiled_bios/5501.txt @@ -0,0 +1 @@ +Christoph Studer Assistant Professor Electrical and Computer Engineering Frank H T Rhodes Hall, Room 331 607/2558218 studer@cornell.edu Back to Directory: Biography Christoph Studer received his M.S. and Ph.D. degrees in Information Technology and Electrical Engineering from ETH Zurich in 2005 and 2009, respectively. In his M.S. work, Christoph focused on wireless communication theory and built on this training during his Ph.D. studies, while also focusing on the design of digital integrated circuits for wireless communications. By jointly developing novel algorithms and corresponding integrated circuits, his work has allowed for the creation of more efficient solutions than had otherwise been possible. In 2005, he was a Visiting Researcher with the Smart Antennas Research Group at Stanford University. From 2006 to 2009, Christoph was a Research Assistant in both the Integrated Systems Laboratory and the Communication Technology Laboratory (CTL) at ETH Zurich, and from 2009 to 2011, he was Postdoctoral Researcher at CTL, ETH Zurich. In 2011, he relocated to the Digital Signal Processing Group at Rice University in Houston, TX, where he worked on signal and image processing, as well as machine learning, first as a Postdoctoral Researcher and then as a Research Scientist. Christoph received ETH Medals for his M.S. and Ph.D. theses in 2005 and 2011, respectively. He has collected various accolades for academic achievement including several best paper and best demo awards. Additionally, Christoph shared the Swisscom/ICTnet Innovations Award in both 2010 and 2013, and he received a two-year Swiss National Science Foundation fellowship for Advanced Researchers in 2011. Christoph seeks to merge the fields of signal and image processing, wireless communications, and machine learning, with the design of digital integrated circuits and systems. Using a unique interdisciplinary approach, he develops new, computationally efficient algorithms, studies their theoretical properties, and develops corresponding digital integrated circuits and systems. He plans to bring his experience in these various fields together through his focus on the development and implementation of unconventional imaging systems using computational photography, a novel approach that enables the design of better cameras. In addition, Christoph will continue his research in signal processing, wireless communications, machine learning, and digital integrated circuit and system design. Of particular interest to him is the challenge of bridging the ever-growing gap between theory, algorithms, and digital integrated circuits, with modern semiconductor technologies, which are each growing in vastly different directions.. Research Interests Digital very large-scale integration (VLSI) circuits and systems; signal and image processing; wireless communication systems; convex optimization; analysis of massive data sets. Algorithms Data Mining Information Theory and Communications Signal and Image Processing Statistics and Machine Learning Computer Architecture Computer Systems Solid State, Electronics, Optoelectronics and MEMs Computer Engineering Research Group Members. Selected Publications Castaneda, O., T. Goldstein, C. Studer.2016."Data Detection in Large Multi-Antenna Wireless Systems via Approximate Semidefinite Relaxation."IEEE Transactions on Circuits and Systems I: Regular Papers63(12):2334-2346. Studer, C., G Durisi.2016."Quantized Massive MU-MIMO-OFDM Uplink."IEEE Transactions on Communications64(6):2387-2399. Wu, M., B. Yin, G. Wang, C. Dick, J. R. Cavallaro, Christoph Studer.2014."Large-Scale MIMO Detection for 3GPP LTE: Algorithms and FPGA Implementation."IEEE Journal of Selected Topics in Signal Processing8(5):916-929. Studer, Christoph, R. G. Baraniuk.2014."Stable Restoration and Separation of Approximately Sparse Signals."Applied and Computational Harmonic Analysis3(4):12-32. Bellasi, D., L. Bettini, C. Benkeser, T. Burger, Q. Huang, Christoph Studer.2013."Monolithic Compressive-Sensing Wideband Analog-to-Information Converter."IEEE Journal on Emerging and Selected Topics in Circuits and Systems3(4):552-565.. Selected Awards and Honors Michael Tien '72 Excellence in Teaching Award, Cornell University, College of Engineering2016 Shared the Swisscom/ICTnet Innovations Award 2013 on "Design of a Wideband Analog-to-Information Converter for Cognitive Radio" (with D. Bellasi, L. Bettini, and C. Benkeser (Swisscom/ICTnet) 2013 Best Demo Award at the IEEE International Symposium on Circuits and Systems (ISCAS) for the demonstration "Real-Time Audio Restoration using Sparse Signal Recovery"(IEEE Symposium on Circuits and Systems (ISCAS))2013 ETH Medal for the doctoral dissertation on "Iterative MIMO Decoding: Algorithms and VLSI Implementation Aspects" carried out at the Dept. of Information Technology and Electrical Enginerigng(ETH)2011 Fellowship for Advanced Researchers from the Swiss National Science Foundation (SNSF)(Swiss National Science Foundation (SNSF)) 2011. Education M.S. (Information Technology and Electrical Engineering),ETH Zurich,2005 Ph.D. (Information Technology and Electrical Engineering),ETH Zurich,2009. Websites VLSI Information Processing (VIP) Group. Research Group Members Graduate Students Oscar Castaneda Fernandez oc66@cornell.edu Electrical and Computer Engineering Ramina Ghods rg548@cornell.edu Electrical and Computer Engineering Emre Gonultas eg566@cornell.edu Electrical and Computer Engineering Charles Jeon cj339@cornell.edu Electrical and Computer Engineering . diff --git a/src/data/compiled_bios/5502.txt b/src/data/compiled_bios/5502.txt new file mode 100644 index 0000000000..3d8ab628a4 --- /dev/null +++ b/src/data/compiled_bios/5502.txt @@ -0,0 +1 @@ +Edward Suh Professor Electrical and Computer Engineering Frank H T Rhodes Hall, Room 338 607/255-6856 edward.suh@cornell.edu Back to Directory: Biography Professor Gookwon "Edward" Suh received a Ph.D. degree in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology (MIT) with his work on a single-chip secure processor. Following graduate school, he spent a year at Verayo Inc., where he led the development of unclonable RFIDs and secure embedded processors. He joined the faculty of the School of Electrical and Computer Engineering at Cornell in 2007.. Research Interests Professor Suh's research interests include computer systems in general with particular focus on computer architecture. He is interested in combining architectural techniques with low-level software to enhance various aspects of computing systems such as performance, security, and reliability. His recent research efforts focus on parallel and reconfigurable computer architecture for security and reliability, embedded cyber-physical systems, and on-chip network design and management. Security Computer Architecture Computer Systems Computer Engineering Research Group Members. Teaching Interests Professor Suh's teaching efforts focus on providing students with strong foundations for designing computer systems, especially hardware. He was in charge of a senior-level computer architecture course (ECE4750), and a digital system design and computer organization course (ECE2300) in the past. He is currently, teaching a course on embedded systems (ECE3140/CS342) and a graduate-level course on secure computer architecture.. Selected Publications Ruirui, Huang, Halberg Erik, Gookwon Edward Suh.2013. "Non-Race Concurrency Bug Detection Through Order-Sensitive Critical Sections." Proceedings of the 40th International Symposium on Computer Architecture (ISCA),June. Wang, Y., W.-K. Yu, Gookwon Edward Suh, E. Kan.2012. "Flash Memory for Ubiquitous Hardware Security Functions: True Random Generation and Device Fingerprints." Proceedings of the IEEE Symposium on Security and Privacy,May. Deng, Daniel Y., Daniel Lo, Greg Malysa, Skyler Schneider, Gookwon Edward Suh.2010. "Flexible and Efficient Instruction-Grained Run-Time Monitoring Using On-Chip Reconfigurable Fabric." Proceedings of the 43rd Annual International Symposium on Microarchitecture (MIRCO),December. Suh, Gookwon Edward, C. W. O'Donnell, I. Sachdev, S. Devadas.2005. "Design and Implementation of a Single-Chip Secure Processor Using Physical Random Functions." Paper presented at 32nd Annual International Symposium on Computer Architecture (ISCA),June. Suh, Gookwon Edward, J. Lee, D. Zhang, S. Devadas.2004. "Secure Program Execution via Dynamic Information Flow Tracking." Paper presented at 11th International Conference on Architectual Support for Programming Languages and Operation Systems,October (4th Quarter/Autumn).. Selected Awards and Honors ASPLOS Most Influential Paper Award2014 Army Young Investigator Research Program Award(Army Research Office)2011 NSF CAREER Award2008 Air Force Young Investigator Research Program Award2008 Best paper award in the IASTED International Conference on Parallel and Distributed Computing Systems2001. Education B.S. (Electrical Engineering),Seoul National University,1999 M.S. (Electrical Engineering and Computer Science),Massachusetts Institute of Technology,2001 Financial Technology Option (FTO), Massachusetts Institute of Technology,2003 Ph.D. (Electrical Engineering and Computer Science),Massachusetts Institute of Technology,2005 . Websites Sue Research Group. Research Group Members Graduate Students Weizhe Hua wh399@cornell.edu Electrical and Computer Engineering Mohamed Ismail mii5@cornell.edu Electrical and Computer Engineering Mulong Luo ml2558@cornell.edu Electrical and Computer Engineering Benjamin Wu bhw49@cornell.edu Electrical and Computer Engineering . diff --git a/src/data/compiled_bios/5503.txt b/src/data/compiled_bios/5503.txt new file mode 100644 index 0000000000..07ec567e2a --- /dev/null +++ b/src/data/compiled_bios/5503.txt @@ -0,0 +1 @@ +A. Kevin Tang Associate Professor Electrical and Computer Engineering Frank H T Rhodes Hall, Room 337 607/255-4803 atang@cornell.edu Back to Directory: Biography Kevin Tang joined the School of Electrical and Computer Engineering at Cornell in 2007 where he is now an associate professor. During the 2006-2007 academic year, he was a junior fellow with the social and information sciences laboratory at the California Institute of Technology. He received his Ph.D. from Caltech in Electrical Engineering with a minor in Applied and Computational Mathematics in 2006.. Research Interests Prof. Tang is broadly interested in networks. The current focus is on control and optimization of engineering networks such as the Internet and power grids. Complex Systems, Network Science and Computation Systems and Networking Research Group Members. Teaching Interests ECE 3100 Introduction to Probability and Inference for Random Signals and Systems ECE 4450 Computer Networks and Telecommunications ECE 4800 Optimal Systems Analysis and Design ECE 5800 Control and Optimization of Information Networks ECE 6990 Advanced Computer Networking Service Interests In 2014-2016, Prof. Tang took several service roles including serving on the department graduate admission committee, college engineering admission advisory committee, as well as chairing the 14th International Symposium in Modeling and Optimization in Mobile, Ad hoc and Wireless Networks. . Selected Publications A. Kevin Tang, L. Andrew, K. Jacobsson, K. Johansson, H. Hjalmarsson, S. Low.2010."Queue Dynamics with Window Flow Control."IEEE/ACM Transacation on Networking18(5):1422-1435. A. Kevin Tang, D. Wei, S. Low, M. Chiang.2010."Equilibrium of Heterogeneous Congestion Control: Optimality and Stability." IEEE/ACM Transactions on Networking18(3):844-857. A. Kevin Tang, J. Wang, S. Low, M. Chiang.2007."Equilibrium of Heterogeneous Congestion Control: Existence and Uniqueness."IEEE/ACM Transactions on Networking15(4):824-837. A. Kevin Tang, J. Wang, S. Low.2006."Counter Intuitive Throughput Behaviors of Networks under End-to-end Control." IEEE/ACM Transactions on Networking14(2):355-368. A. Kevin Tang, A. Tang, S. Low.2004."Understanding CHOKe: Throughput and Spatial Characteristics." IEEE/ACM Transactions on Networking12(4):694-707.. Selected Awards and Honors Young Investigator Award(Defense Threat Reduction Agency (DTRA))2011 First Place in AT&T SDN Network Design challenge(AT&T Inc)2016 Young Investigator Award(Airforce Office of Scientific Research (AFOSR))2012 Presidential Early Career Award for Scientists and Engineers (PECASE)(The White House)2012. Education B.E. (Electronics Engineering),Tsinghua University,1999 M.S. (Electronics Engineering),Tsinghua University,2001 M.S. (Electrical Engineering),California Institute of Technology,2002 Ph.D. (Electrical Engineering),California Institute of Technology,2006. Websites Tang Website. Research Group Members Graduate Students Yingjie Bi yb236@cornell.edu Electrical and Computer Engineering Jiangnan Cheng jc3377@cornell.edu Electrical and Computer Engineering Shih-Hao Tseng st688@cornell.edu Electrical and Computer Engineering Ning Wu nw276@cornell.edu Electrical and Computer Engineering Kai Zhang kz298@cornell.edu Electrical and Computer Engineering . diff --git a/src/data/compiled_bios/5504.txt b/src/data/compiled_bios/5504.txt new file mode 100644 index 0000000000..7446cd6ce7 --- /dev/null +++ b/src/data/compiled_bios/5504.txt @@ -0,0 +1 @@ +Sandip Tiwari Charles N. Mellowes Professor of Engineering Electrical and Computer Engineering Phillips Hall, Room 410 607/254-6254 st222@cornell.edu Back to Directory: Biography Sandip Tiwari, a native of India, was educated starting in Physics before moving to Electrical Engineering, attending IIT Kanpur, RPI, and Cornell, and after working at IBM Research, joined Cornell in 1999. He has been a visiting faculty at Michigan, Columbia, and Harvard, the founding editor in chief of Transactions on Nanotechnology and authored a popular textbook of device physics. He is currently the Charles N. Mellowes Professor in Engineering and the director of USA's National Nanotechnology Infrastructure Network.. Research Interests His research has spanned the engineering and science of semiconductor electronics and optics, and has been honored with the Cledo Brunetti Award of the Institution of Electronic and Electrical Engineers (IEEE), the Distinguished Alumnus Award from IIT Kanpur, the Young Scientist Award from Institute of Physics, and the Fellowships of American Physical Society and IEEE. Particular joyful to him is discovering scientific explanations, uncovering new phenomena, inventing new devices and technologies, and moving in directions that are of broader societal use. His current research interests are in the challenging questions that arise when connecting large scales, such as those of massively integrated electronic systems a complex system, to small scales, such as those of small devices and structures that come about from the use of nanoscale, bringing together knowledge from engineering and physical and computing sciences. Through National Nanotechnology Infrastructure Network (NNIN) and in his personal life, he is also active in bringing broader education, openness and understanding and cooperation across this world. Solid State, Electronics, Optoelectronics and MEMs. Selected Publications Tiwari, Sandip.2017.Quantum, Statistical and Information Mechanics,Electroscience Series, Vol I. Cambridge University Press. Tiwari, Sandip.2016.Nanoscale Device Physics: Science and Engineering fundamentals. Electroscience Series, Vol. IV.Oxford University Press. Tiwari, Sandip.2016.Semiconductor Physics: Principles, theory and nanoscale.Electroscience 3. Oxford University Press. Tiwari, Sandip.2015.Device Physics, Electroscience Series, Vol. II.Cambridge University Press. Tiwari, Sandip.2015."Implications of scales in processing of information.". Selected Awards and Honors Guest Editor(Proceedings of IEEE)2014 Visiting Researcher and Faculty(Centre National de la Recherch Scientifique, Orsay, and Universit d'Orsay (Paris-Sud))2014 Distinguished Professor(Technische Universitat Mnchen)2013 Visiting Professor(Stanford University)2013 Cledo Brunetti Award(IEEE)2007. Education B.Tech.(Electrical Engineering),Indian Institute of Technology,1976 M.Eng. (Electrical & Systems Engineering),Rochester Polytechnic Institute,1977 Ph.D. (Electrical Engineering),Cornell University,1980. diff --git a/src/data/compiled_bios/5505.txt b/src/data/compiled_bios/5505.txt new file mode 100644 index 0000000000..7505518267 --- /dev/null +++ b/src/data/compiled_bios/5505.txt @@ -0,0 +1 @@ +Lang Tong Irwin And Joan Jacobs Professor of Engineering Electrical and Computer Engineering Frank H T Rhodes Hall, Room 384 607/255-3900 lt35@cornell.edu Back to Directory: Biography Lang Tong joined Cornell University in 1998 where he is now the Irwin and Joan Jacobs Professor in Engineering and the Cornell site director of the Power Systems Engineering Research Center (PSERC). His current research focuses on optimization, machine learning, and market operations of smart grid and future energy systems. A Fellow of IEEE, a distinguished lecturer of the IEEE Signal Processing Society, and the 2018 Fulbright Distinguished Chair in Alternative Energy, Professor Tong has made contributions in multiple technical fields in electrical engineering, including signal processing, communications, networking, and power systems, for which he received best paper awards from the IEEE Signal Processing, Communications, and Power and Energy societies, and his students received seven student paper awards.. Research Interests Optimization, machine learning, and power system and market operations.Electric vehicles and smart transportation systems.Cyber security.Internet of Things. Information Theory and Communications Complex Systems, Network Science and Computation Energy Systems Signal and Image Processing Energy and the Environment Systems and Networking Research Group Members. Teaching Interests Statistical inference, machine learning, optimization, power and energy systems, electricity markets.. Selected Publications Zhe Yu, Yunjian Xu, and Lang Tong. 2018. "Deadline scheduling as restless bandits," IEEE Transactions on Automatic Control.DOI: 10.1109/TAC.2018.2807924. Ye Guo, Yuting Ji, and Lang Tong. 2018. "Generalized coordinated transaction scheduling: a market approach to seamless interfaces." IEEE Transactions on Power Systems.DOI: 10.1109/TPWRS.2018.2803749 . Daniel Munoz-Alvarez and Lang Tong. 2017. "On the efficiency of connection charges---Part I: a stochastic framework; Part II: integration of distributed energy resources. IEEE Transactions on Power Systems.DOI: 10.1109/TPWRS.2017.2782802 Shanjun Li, Lang Tong, Jianwei Xing, and Yiyi Zhou. 2017. "The market for electric vehicles: indirect network effects and policy design" Journal of the Association of Environmental and Resource Economists. DOI:10.1086/689702 Oliver Kosut, Lang Tong, and David Tse. 2014. "Polytope codes against adversaries in networks." IEEE Transactions on Information Theory.DOI: 10.1109/TIT.2014.2314642. Selected Awards and Honors Fulbright Distinguished Chair in Alternative Energy, 2018 IEEE Power and Energy Society General Meeting Best Conference Papers, 2015, 2016, and 2018 IEEE Signal Processing Society Best Paper Award, 2004 IEEE Communications Society Leonard G. Abraham Price Paper Award, 2014 IEEE Circuit and Systems Society Outstanding Young Author Award, 1993 ONR Young Investigator Award, 1996. Education B. Sc.(Automation),Tsinghua University,1985 M.S. (Electrical Engineering),1988 Ph.D. (Electrical and Communications Engineering),University of Notre Dame,1990 Post-Doctor, Stanford University,1991 . Websites Tong website. Research Group Members Graduate Students Kursat Mestav krm264@cornell.edu Electrical and Computer Engineering . diff --git a/src/data/compiled_bios/5506.txt b/src/data/compiled_bios/5506.txt new file mode 100644 index 0000000000..876281d837 --- /dev/null +++ b/src/data/compiled_bios/5506.txt @@ -0,0 +1 @@ +Aaron B. Wagner Professor Electrical and Computer Engineering Frank H T Rhodes Hall, Room 388 607/255-1017 wagner@cornell.edu Back to Directory: Biography Aaron Wagnerjoined the School of Electrical and Computer Engineering at Cornell University as an assistant professor in 2006 and was elevated to professor in July 2018. During the 2005-2006 academic year, he was a Postdoctoral Research Associate in the Coordinated Science Laboratory at the University of Illinois at Urbana-Champaign and a Visiting Assistant Professor in the School of Electrical and Computer Engineering at Cornell. Wagner did his graduate work at the University of California, Berkeley and received an undergraduate degree from the University of Michigan, Ann Arbor. Wagner's research and teaching have been recognized with several awards including theIEEE Information Theory Society's James L. Massey Research & Teaching Award for Young Scholars(2017), the Douglas Whitney '61 Excellence in Teaching Award from Cornell Engineering (2015), the Cornell Michael Tien '72 College of Engineering Teaching Award (2009), the NSF CAREER award (2007), the David J. Sakrison Memorial Prize from the U.C. Berkeley EECS Dept. (2006), and the Bernard Friedman Memorial Prize in Applied Mathematics from the U.C. Berkeley Dept. of Mathematics (2005). Two of his students won the 2010 Information Theory Society Student Paper Award.. Research Interests Wagner studies problems at the intersection of information theory and other fields including networking, statistics, queueing theory, security, computational linguistics, and learning.His primary research interest lies in information theory, especially compression, feedback communication, security, and quantum information. Information Theory and Communications Signal and Image Processing Systems and Networking Research Group Members. Selected Publications Wagner, Aaron B., S. Unal.2016."LP Bounds on Rate-Distortion with Variable Side Information." IEEE Trans. Inf. Theory. Wagner, Aaron B., I. Issa, S. Kamath.2016. "An operational measure of information leakage." Wagner, Aaron B., S. Unal.2016. "Vector Gaussian multi-decoderrate-distortion: traceconstraints." Wagner, Aaron B., I. Issa.2016. "Maximal leakage minimization for the Shannon cipher system." Wagner, Aaron B., N. Shende.2016. "The stochastic-calculus approach to multi-receiver Poisson channels.". Selected Awards and Honors James L. Massey Research & Teaching Award for Young Scholars (IEEE Information Theory Society)2017 Douglas Whitney '61 Excellence in Teaching Award (Cornell University College of Engineering) 2015 IEEE Information Theory Society Student Paper Award (coauthored with one of my students) (IEEE Information Theory Society) 2010 Michael Tien '72 College of Engineering Teaching Award (Cornell University) 2009 NSF CAREER Award (NSF) 2007. Education B.S. (Electrical Engineering),University of Michigan, Ann Arbor,1999 M.S. (Electrical Engineering and Computer Sciences),University of California, Berkeley,2002 Ph.D. (Electrical Engineering and Computer Sciences),University of California, Berkeley,2005. Websites Wagner Website. Research Group Members Graduate Students Omer Bilgen ob65@cornell.edu Electrical and Computer Engineering Nirmal Shende nvs25@cornell.edu Electrical and Computer Engineering Yi Xu yx285@cornell.edu Electrical and Computer Engineering . diff --git a/src/data/compiled_bios/5507.txt b/src/data/compiled_bios/5507.txt new file mode 100644 index 0000000000..67c553cf04 --- /dev/null +++ b/src/data/compiled_bios/5507.txt @@ -0,0 +1 @@ +Stephen B. Wicker Professor Electrical and Computer Engineering Frank H T Rhodes Hall, Room 386 607/255-8817 sbw11@cornell.edu Back to Directory: Biography Professor Wicker works in the area of information networks, with an emphasis on the application of game theory, mechanism design, and other technologies that enhance privacy and expression rights for those using large-scale information systems. He is a Fellow of the Institute of Electrical and Electronic Engineers, and has testified about information network privacy issues to congressional staffers. He is the author of six books, holds a number of patents, and has received several Cornell teaching awards. His most recent book, "Cellular Convergence and the Death of Privacy," was published by Oxford University Press in 2013.. Research Interests Information Networks, Privacy and Security in Wireless Systems, Wired and Wireless Telephony. Information Theory and Communications Security Complex Systems, Network Science and Computation Systems and Networking Research Group Members. Teaching Interests Communication theory, communication systems, information science, privacy and security in information networks. Selected Publications Wicker, Stephen B. 2017."Internet Advertising: Technology, Ethics, and a Serious Difference of Opinion." Communications of the ACM. Santoso, Stephanie M., Stephen B. Wicker.2014."The future of three-dimensional printing: Intellectual property or intellectual confinement?." New Media and Society18(1). Wicker, Stephen B. 2013.Cellular Convergence and the Death of Privacy.Oxford University Press. : 200 pp..New York:Oxford University Press. Wicker, Stephen B. 2012."The Loss of Location Privacy in the Cellular Age." Communications of the ACM55(8):60-68. Karst, N., Stephen B. Wicker.2012."On the rekeying load in group key distributions using cover-free families." IEEE Transactions on Information Theory58(10):6667 - 6671.. Selected Awards and Honors Fellow of IEEE(IEEE)2010 College of Engineering Teaching Award(Cornell University)2012 Douglas Whitney '61 Excellence in Teaching Award, College of Engineering2009 Cornell School of ECE Teaching Award2000 Cornell University College of Engineering Teaching Award1998. Education B.S. (Electrical and Communications Engineering),University of Virginia,1982 M.S. (Electrical and Communications Engineering),Purdue University,1983 Ph.D. (Electrical and Communications Engineering),University of Southern California,1987 . Websites Wicker Privacy & Security Group. Research Group Members Graduate Students Stephanie Santoso . diff --git a/src/data/compiled_bios/5508.txt b/src/data/compiled_bios/5508.txt new file mode 100644 index 0000000000..8383674556 --- /dev/null +++ b/src/data/compiled_bios/5508.txt @@ -0,0 +1 @@ +Huili Grace Xing William L. Quackenbush Professor of Electrical and Computer Engineering Electrical and Computer Engineering Phillips Hall, Room 425 607/255-0605 William L. Quackenbush Professor of Electrical and Computer Engineering Materials Science and Engineering grace.xing@cornell.edu Back to Directory: Biography Huili (Grace) Xing is theRichard E. Lunquist Sesquicentennial Faculty Fellow, Professor at Cornell University where she holds a joint appointment in the School of Electrical and Computer Engineering and the Department of Materials Science and Engineering. Xing received a Bachelor Degree in Physics from Peking University. After that, she pursued a Master Degree in Material Science and Engineering at Lehigh University. Wanting to work with devices that use wonderful material properties, she went to the University of California at Santa Barbara for her Ph.D. and eventually earned a degree in Electrical Engineering. From 2004 to 2014 she was a faculty member at the University of Notre Dame. Xing joined Cornell in 2015.. Research Interests Xing's research work can be loosely categorized into 4 areas, supported by DoD, NSF, SRC and Doe. GaN based devices. The current projects include GaN power diodes and transistors, AlN/GaN ultrascaled high electron mobility transistors for high-speed high power applications, polarization doping for p-type in UV optoelectronic devices, negative differential resistance and plasma based THz sources for biomedical imaging and spectroscopy, wafer fused enabled hybrid structures. Nanowire enabled devices, including InGaN nanowires for high efficiency green emission and solar cells, II-VI nanowires for polarization sensitive wide spectrum photodetection etc. 2D crystal materials and devices. We investigate van der Waals epitaxy, carrier electrostatics and transport, optoelectronic responses, p-n junctions and heterostructures, field modulation and tunneling, metamaterials and THz applications, graphene physics and devices. We investigate graphene based metamaterials for THz applications, lateral bandgap engineering in graphene, carrier electrostatics and transport, and optoelectronic responses, p-n junctions, field modulation and tunneling phenomena. Steep slope transistors for high-efficiency logic and RF electronics, especially tunnel FETs. We pioneered design, fabrication and characterization of III-V TFETs. Our current focus is 2D-crystal based steep slope transistors: the Thin-TFETs, tunneling field effect transistors for high efficiency logic electronics. Advanced Materials Energy Systems Advanced Materials Processing Materials Synthesis and Processing Nanotechnology Nonlinear Dynamics Semiconductor Physics and Devices Sensors and Actuators Solid State, Electronics, Optoelectronics and MEMs Power Electronics Research Group Members. Selected Publications Hu, Z., K. Nomoto, B. Song, M. Zhu, M. Qi, M. Pan, X. Gao, V. Protasenko, D. Jena, H G Xing.2015."Near unity ideality factor and Shockley-Read-Hall lifetime in GaN-on-GaN p-n diodes with avalanche breakdown." Applied Physics Letters107(24):243501-243501. Zhu, M., B. Song, M. Qi, Z. Hu, K. Nomoto, X. Yan, Y. Cao, W. Johnson, E. Kohn, D. Jena, H G Xing.2015."1.9-kV AlGaN/GaN Lateral Schottky Barrier Diodes on Silicon." IEEE Electron Device Letters36(4):375-377. Jena, D., K. Banerjee, Huili Xing.2014."Intimate Contacts." Nature Materials. Sensale-Rodriguez, Berardi, Rusen Yan, Michelle Kelly, Tian Fang, Kristof Tahy, Wan Sik Hwang, Debdeep Jena, Lei Liu, Huili Xing.2012."Broadband graphene THz modulators enabled by intraband transitions." Nature Communications; Featured by NSF at LiveScience3(780). Simon, John, Vladimir Protasenko, Chuanxin Lian, Huili Xing, Debdeep Jena.2010."Polarization-induced hole doping in wide-band-gap uniaxial semiconductor heterostructures." Science327(60).. Selected Awards and Honors Richard E. Lunquist Sesquicentennial Faculty Fellow(Cornell University)2015 Young Scientist Award(International Symposium on Compound Semiconductors (ISCS))2014 Featured Notre Dame Faculty at UND-BYU football game2012 CARREER Award(National Science Foundation)2009 Young Investigator Program Award(Air Force Office of Scientific Research)2008. Education B.S. (Physics),Peking University,1996 M.S. (Material Science),Lehigh University,1998 Ph.D. (Electrical Engineering),University of California,2003 Postdoc(Electrical Engineering),University of California,2003. Websites Xing Research Group. Research Group Members Graduate Students Jimy Encomendero Risco jje64@cornell.edu Electrical and Computer Engineering Hyunjea Lee hl2255@cornell.edu Electrical and Computer Engineering Wenshen Li wl552@cornell.edu Electrical and Computer Engineering Xiang Li xl633@cornell.edu Electrical and Computer Engineering Jeffrey Miller jpm433@cornell.edu Electrical and Computer Engineering Zexuan Zhang zz523@cornell.edu Electrical and Computer Engineering . diff --git a/src/data/compiled_bios/5509.txt b/src/data/compiled_bios/5509.txt new file mode 100644 index 0000000000..f95839a93c --- /dev/null +++ b/src/data/compiled_bios/5509.txt @@ -0,0 +1 @@ +Zhiru Zhang Associate Professor Electrical and Computer Engineering Frank H T Rhodes Hall, Room 320 607/255-5954 zhiruz@cornell.edu Back to Directory: Biography Prof. Zhiru Zhang joined the School of Electrical and Computer Engineering at Cornell University as an assistant professor in August 2012 and was elevated to the rank of associate professor in July 2018. He is a member of the Computer Systems Laboratory. Prof. Zhang received an M.S. and Ph.D. in Computer Science from the University of California, Los Angeles, and received a B.S. in Computer Science from Peking University. In 2006, he co-founded AutoESL Design Technologies, Inc. based on his dissertation research on high-level synthesis (HLS). AutoESL was acquired by Xilinx in 2011 and its HLS tool is now known as Vivado HLS, which is the first mainstream and most widely deployed C-based design tool for FPGAs. Prior to joining Cornell, he served as a software development manager at Xilinx, where he received the 2012 Ross Freeman Award for Technical Innovation, the highest technical award given by Xilinx. Prof. Zhang's research has earned several awards, among them a best paper award from the ACM Transactions on Design Automation of Electronic Systems (TODAES), a Best Short Paper Award from IEEE International Symposium on Field-Programmable Custom Computing Machines (FCCM 2018), and multiple best paper nominations (ICCAD 2009, FPGA 2017, FPGA 2018).. Research Interests Prof. Zhang's research broadly investigates new applications, optimization algorithms, and design automation tools for heterogeneous computing. recent publications focus on the topics of high-level synthesis, accelerator architectures, programming for FPGAs, and algorithm-hardware co-design for machine learning. Computer Architecture Computer Systems Computer Engineering Research Group Members. Teaching Interests Digital Logic Design, Electronic Design Automation. Selected Publications Y. Zhou, U. Gupta, S. Dai, R. Zhao, N. Srivastava, H. Jin, J. Featherston, Y.-H. Lai, G. Liu, G. Velasquez, W. Wang, and Z. Zhang, Rosetta: A Realistic High-Level Synthesis Benchmark Suite for Software Programmable FPGAs, International Symposium on Field-Programmable Gate Arrays (FPGA), Feb. 2018. S. Dai, G. Liu, and Z. Zhang, A Scalable Approach to Exact Resource-Constrained Scheduling Based on a Joint SDC and SAT Formulation, International Symposium on Field-Programmable Gate Arrays (FPGA), Feb. 2018. T. Ajayi, K. Al-Hawaj, A. Amarnath, S. Dai, S. Davidson, P. Gao, G. Liu, A. Lotfi, J. Puscar, A. Rao, A. Rovinski, L. Salem, N. Sun, C. Torng, L. Vega, B. Veluri, X. Wang, S. Xie, C. Zhao, R. Zhao, C. Batten, R. Dreslinski, I. Galton, R. Gupta, P. Mercier, M. Srivastava, M. Taylor, and Z. Zhang, Celerity: An Open-Source RISC-V Tiered Accelerator Fabric, ACM/IEEE Symposium on High-Performance Chips (HOTCHIPS), Aug. 2017. R. Zhao, W. Song, W. Zhang, T. Xing, J.-H. Lin, M. Srivastava, R. Gupta, and Z. Zhang, Accelerating Binarized Convolutional Neural Networks with Software-Programmable FPGAs, International Symposium on Field-Programmable Gate Arrays (FPGA), Feb. 2017. G. Liu, M. Tan, S. Dai, R. Zhao, and Z. Zhang, Architecture and Synthesis for Area-Efficient Pipelining of Irregular Loop Nests, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), Feb. 2017.. Selected Awards and Honors DAC Under 40 Young Innovator Award (Design Automation Conference) 2018 Michael Tien '72 Excellence in Teaching Award from College of Engineering 2016 IEEE CEDA Ernest S. Kuh Early Career Award (Council on Electronic Design Automation) 2015 DARPA Young Faculty Award (Defense Advanced Research Projects Agency) 2015 NSF Career Award (National Science Foundation) 2015. Education B.S. (Computer Science),Peking University,2001 M.S. (Computer Science),University of California, Los Angeles,2003 Ph.D. (Computer Science),University of California, Los Angeles,2007. Websites Zhang Research Group. Research Group Members Graduate Students Haihang Dai hd273@cornell.edu Electrical and Computer Engineering Yuwei Hu yh457@cornell.edu Electrical and Computer Engineering Wenmian Hua wh364@cornell.edu Electrical and Computer Engineering Hanchen Jin hj424@cornell.edu Electrical and Computer Engineering Yi-Hsiang Lai yl2666@cornell.edu Electrical and Computer Engineering Gai Liu gl387@cornell.edu Electrical and Computer Engineering Ecenur Ustun eu49@cornell.edu Electrical and Computer Engineering Ritchie Zhao rz252@cornell.edu Electrical and Computer Engineering Yuan Zhou yz882@cornell.edu Electrical and Computer Engineering . diff --git a/src/data/compiled_bios/551.txt b/src/data/compiled_bios/551.txt new file mode 100644 index 0000000000..58353446dc --- /dev/null +++ b/src/data/compiled_bios/551.txt @@ -0,0 +1 @@ +Sanjay Krishnan Assistant ProfessorDepartment of Computer Science Email: skr@cs.uchicago.edu Office: JCL 243 Website: http://people.cs.uchicago.edu/~skr diff --git a/src/data/compiled_bios/5510.txt b/src/data/compiled_bios/5510.txt new file mode 100644 index 0000000000..13025b31eb --- /dev/null +++ b/src/data/compiled_bios/5510.txt @@ -0,0 +1 @@ +Qing Zhao Joseph C. Ford Professor of Engineering Electrical and Computer Engineering Frank H T Rhodes Hall, Room 325 qz16@cornell.edu Back to Directory: Biography Qing Zhao joined Cornell in 2015, where she is the Joseph C. Ford Professor of Engineering. Prior to that, she was a professor in the Department of Electrical and Computer Engineering at UC Davis from 2004 to 2015 and a system engineer with Aware., Inc. from 2001 to 2003. She received the Ph.D. degree in Electrical Engineering from Cornell University in 2001. Professor Zhao isa Fellow of IEEE, a Marie Skodowska-Curie Fellow of theEuropeanUnions Horizon-2020 research and innovation program, and a Jubilee Chair Professor of Chalmers University during her 2018-2019 sabbatical leave.She received the 2010 IEEE Signal Processing Magazine Best Paper Award and the 2000 Young Author Best Paper Award from IEEE Signal Processing Society. While on the faculty of UC Davis, she held the title of UC Davis Chancellors Fellow and received the 2014 Outstanding Mid-Career Faculty Research Award and the 2008 Outstanding Junior Faculty Award from the UC Davis College of Engineering.. Research Interests Sequential decision theory, stochastic optimization, machine learning, and algorithmic theory with applications in infrastructure, communications, and social-economic networks. Statistics and Machine Learning Systems and Networking Complex Systems, Network Science and Computation Research Group Members. Selected Publications S. Baltaoglu, L. Tong, Q. Zhao, "Online Learning of Optimal Bidding Strategy in Repeated Multi-Commodity Auctions," NIPS, 2017. S. Vakili, Q. Zhao, "Risk-Averse Multi-Armed Bandit Problems under Mean-Variance Measure," IEEE Journal of Selected Topics in Signal Processing, 2016. K. Cohen, Q. Zhao, "Active Hypothesis Testing for Anomaly Detection," IEEE Transactions on Information Theory, 2015. J. Gao, Q. Zhao, W. Ren, A. Swami, R. Ramanathan, A. Bar-Noy, "Dynamic Shortest Path Algorithms for Hypergraphs," IEEE/ACM Transactions on Networking, 2015. H. Liu, K. Liu, and Q. Zhao, "Learning in A Changing World: Restless Multi-Armed Bandit with Unknown Dynamics," IEEE Transactions on Information Theory, 2013.. Selected Awards and Honors Marie Skodowska-Curie Fellow (EuropeanUnions Horizon-2020 research and innovation program) 2018-2019 Jubilee Chair Professor (Chalmers University, Sweden) 2018-2019 Fellow(IEEE)2013 Chancellor's Fellow(University of California, Davis)2010 Best Paper Award(IEEE Signal Processing Magazine)2010 Young Author Best Paper Award(IEEE Signal Processing Society)2000. Education B.S. (Electrical Engineering),Sichuan University,1994 M.S. (Electrical Engineering),Fudan University,1997 Ph.D. (Electrical Engineering),Cornell University,2001 Postdoc(Electrical Engineering),Cornell University,2004. Websites Qing Zhao Group. Research Group Members Graduate Students Boshuang Huang bh467@cornell.edu Electrical and Computer Engineering Sudeep Salgia ss3827@cornell.edu Electrical and Computer Engineering Xiao Xu xx243@cornell.edu Electrical and Computer Engineering . diff --git a/src/data/compiled_bios/5511.txt b/src/data/compiled_bios/5511.txt new file mode 100644 index 0000000000..e56df436d8 --- /dev/null +++ b/src/data/compiled_bios/5511.txt @@ -0,0 +1 @@ +My main research interests are in machine learning theory, algorithmic game theory and mechanism design, approximation algorithms, and non-worst-case analysis of algorithms, as well as topics that combine several of these areas. Machine Learning Theory. The goals of machine learning theory are to provide a mathematical understanding of the issues involved in getting programs to learn from experience. This involves designing models that capture fundamental tradeoffs, as well as producing new analyzable algorithms. One of my current interests is in representation learning: given a collection of objects represented in one way, aiming to learn a better representation for those objects with respect to some goal or class of goals. For example, given a collection of data items represented as points in some feature space, perhaps one can identify a small subset of "landmark" items to be remembered explicitly, with the rest represented as sparse combinations of these landmarks. Or given a collection of related tasks that have been previously learned by an algorithm, perhaps one can identify commonalities among those tasks that allow new related tasks to be represented more compactly, and therefore learned more quickly. I am also interested in semi-supervised learning, distributed learning, staged curricular learning, privacy-preserving learning and data release, and connections between learning and property testing. Algorithmic game theory and mechanism design. Many large systems involve multiple entities, interacting with each other but with their own interests in mind. The area of algorithmic game theory and mechanism design has developed around understanding the behavior of systems of this type, and around designing systems for such interaction that produce desirable outcomes. My interests in this area include the design of auction and allocation mechanisms with various kinds of quality guarantees, tackling algorithmic and incentive issues in the design of kidney exchange programs, designing algorithms for security games, and developing tools for the analysis of social welfare in settings where agents are adapting their behavior in natural ways. I am also interested in machine learning problems that arise in economic and multi-agent settings, including problems of learning about agents' preferences from observing how they interact, and learning about the workings of an interaction mechanism via observations of input-output behavior. Additionally, I am interested in privacy-preserving mechanisms in multi-agent contexts, such as mechanisms for revealing approximations to the current state of some economic system that allow for agents to make better decisions while at the same time maintaining the privacy of the other agents involved. Approximation algorithms. Many important problems turn out to be NP-hard, implying that it is unlikely there will be algorithms for them that are both efficient and optimal in the worst case. One approach in such cases is to find algorithms that produce approximately-optimal solutions in the worst case. Another approach is to identify properties of "reasonable" inputs, and aim to develop algorithms with strong performance guarantees on inputs of that type. I am interested in both of these directions, especially in the context of problems in clustering, data analysis, learning, and mechanism design. diff --git a/src/data/compiled_bios/5512.txt b/src/data/compiled_bios/5512.txt new file mode 100644 index 0000000000..fae4f38a55 --- /dev/null +++ b/src/data/compiled_bios/5512.txt @@ -0,0 +1 @@ +My research interests are in the general field of software engineering, focusing on Software Architecture, Self-adaptive Systems, and Everyday Computing. Software architecture: Techniques and tools for precisely defining the design of a software system, specifically so that its quality attributes can analyzed early in the development lifecycle. My current specific interests are in how to use architectural modeling techniques to design system that have high degrees of software and physical elements, so-called cyber-physical systems. Self-adaptive systems: Many systems today have the requirement that they must be kept running 24/7, and be robust and responsive even in changing environments. This requires software to dynamically change. This research is exploring the use of software architectures to provide advice as the system runs on how the system should adapt and change, while still maintaining quality of service requirements. Software for everyday people: Software is becoming all pervasive and everyday non-computer scientists must interact with software to get their daily tasks done. In this research, I am interested in how people's tasks can be better supported by software, either by capturing mundane tasks so that they can be automated, or by providing simple specification techniques that allow people to define how these tasks should be automated. Current research is focusing on providing software platforms and tools to aid in the automation of workflows for scientists studying human social, cultural, and behavioral structures. diff --git a/src/data/compiled_bios/5513.txt b/src/data/compiled_bios/5513.txt new file mode 100644 index 0000000000..44e5ab63b1 --- /dev/null +++ b/src/data/compiled_bios/5513.txt @@ -0,0 +1 @@ +My interests span three areas: Programming Systems, Hardware, and Theory. I use the techniques and insights of theoretical computer science to solve problems in programming systems and hardware design that are of practical interest. I have a number of active research projects in these areas that I would be happy to discuss with students. Below are short descriptions of two research projects that I think are particularly exciting. Hardware and Software Verification. Logical errors in finite state concurrent systems like sequential circuits and communication protocols are an important problem for computer scientists. They can delay getting a new product on the market or cause the failure of some critical device that is already in use. The most widely used verification method is based on extensive simulation and can easily miss significant errors when the number possible states of the system is very large. Although there has been considerable research on the use of theorem provers, term rewriting systems and proof checkers for verification, these techniques are time consuming and often require a great deal of manual intervention. My group has developed an alternative approach called temporal logic model checking in which specifications are expressed in a propositional temporal logic and an efficient search procedure is used to determine whether or not the specifications are satisfied. In the twenty-five years that have passed since the original algorithm was published, the size of the systems that can be verified by this means has increased dramatically. By developing special programming languages for describing transition systems, it became possible to check examples with several thousand states. This was sufficient to find subtle errors in a number of nontrivial, although relatively small, circuit and protocols designs. Use of boolean decision diagrams (BDDs) led to a major increase in the size of the examples we could handle by this technique. Representing transition relations implicitly using BDDs made it possible to verify examples that would have required 1020 states with the original version algorithm. Refinements of the BDD-based techniques have pushed the state count up over 10100 states. By combining model checking with abstraction, we have been able to check even larger examples. In one case, we were able to verify a pipelined ALU design with 64 registers, each 64 bits wide, and more than 101300 reachable states. Analytica --- A Theorem Prover for Mathematica. Analytica is an automatic theorem prover for theorems in elementary analysis. The prover runs in the Mathematica environment and is written in Mathematica language. The goal of the project is to use a powerful symbolic computation system to prove theorems that are beyond the scope of previous automatic theorem provers. The theorem prover is also able to guarantee the correctness of certain steps that are made by the symbolic computation system and therefore prevent common errors like division by a expression that could be zero. Since we wanted to generate proofs that were as similar as possible to proofs constructed by humans, we use a variant of natural deduction to generate proofs. We have demonstrated the power of our theorem prover on several non-trivial examples including the basic properties of the stereographic projection and a series of three lemmas that lead to a proof of Weierstrass's example of a continuous nowhere differentiable function. Each of the lemmas in the latter example is proved completely automatically. In a related project that uses similar techniques, we have managed to prove all of the theorems and examples in Chapter 2 of Ramanujan's Collected Works completely automatically. We believe these examples provide convincing justification for combining powerful symbolic computation techniques with theorem provers. diff --git a/src/data/compiled_bios/5514.txt b/src/data/compiled_bios/5514.txt new file mode 100644 index 0000000000..551139052d --- /dev/null +++ b/src/data/compiled_bios/5514.txt @@ -0,0 +1 @@ +My research centers on sequential decision making under uncertainty. From web advertising to robotic grasping to treating patients, decision making under uncertainty abounds, and the potential impact of better decision policies is enormous. I am particularly interested in creating algorithms with formal performance bounds for broad questions that are motivated by societal challenges, such as education. More generally, my research interests include reinforcement learning, machine learning, planning under partial observability, human agent interaction, and using information communication technologies for international development. diff --git a/src/data/compiled_bios/5515.txt b/src/data/compiled_bios/5515.txt new file mode 100644 index 0000000000..8cb0bd2d79 --- /dev/null +++ b/src/data/compiled_bios/5515.txt @@ -0,0 +1 @@ +My research interests are in artificial intelligence, machine learning, reasoning under uncertainty, and processing of massive data sets. I am currently working on the application of artificial intelligence techniques to the analysis of uncertain situations and targeted information gathering. I am also working on the application of machine learning and distributed computing to the analysis of massive astronomical data sets and cosmological simulations. diff --git a/src/data/compiled_bios/5516.txt b/src/data/compiled_bios/5516.txt new file mode 100644 index 0000000000..1421cc541e --- /dev/null +++ b/src/data/compiled_bios/5516.txt @@ -0,0 +1 @@ +In broad terms I pursue research in large scale parallelism in computer systems and its implications on operating systems and computer architecture. My particular interests focus on large scale clustering technologies, parallel and distributed file systems, storage and system area networking, and secondary memory system technologies such as magnetic disk and flash storage design and optimization. I have a strong interest in shepherding technological advances from blackboard to commercial reality and widespread use. All of my research is housed in CMU's Parallel Data Laboratory (www.pdl.cmu.edu). My early research on redundancy in parallel storage systems, called RAID, spawned a storage industry revolution and is now a checklist requirement of a $15+ billion dollar marketplace. My research on network-attached secure disks (NASD) is shaping new storage technologies including SCSI Object Storage Devices (OSD), high-performance IP-based storage and IETF Parallel NFS filesystems standards. NASD graduate students have gone on to shape Google's file system and database software and Seagate's next generation storage devices. By founding Panasas in 1999, I have also been driving the realization and deployment of these technologies into the mainstream of high performance storage technology. For example, the world's first PetaFLOP (and, as of July 2008, the world's fastest) computer is Los Alamos' Roadrunner cluster of Opteron nodes and 64b Cell accelerators. The primary storage system for Roadrunner is a Panasas storage cluster of about 1800 object storage servers bound together a single distributed system employing novel RAID techniques and virtualized as one storage pool. On a broader note I play a leadership role in academic and industrial storage system developments. I sit on the steering committee of the leading storage systems conference, the USENIX conference on File and Storage Technology (FAST). I have sat on the technical council of the Storage Networking Industry Association. And I chair the IEEE technical field award for information storage systems contributions. Of late I have been reviewing my research with international communities; specifically, I have recently spoken in China, Britain, Germany, Canada, and Israel, and I have joined a scientific advisory board for a storage systems institute in Singapore. DOE Petascale Data Storage Institute: Chartered by the Office of Science at the US Department of Energy I lead a team of researchers from CMU, U. Michigan, U. of California, and five National Labs: Los Alamos, Sandia, Oak Ridge, Pacific Northwest and Lawrence Berkeley. Our job is to anticipate the challenges of and guide efforts toward scaling high performance storage by 100% per year for the world's biggest computers' needs over the next decade (Peta- to Exa- scale systems). Los Alamos Institute for Reliable High Performance Information Technology: I co-direct a partnership between CMU's Parallel Data Laboratory, CMU's Institute for Software Research and Los Alamos National Laboratory. Projects such as database interfaces on the metadata for huge scientific file systems and software debugging tools for large scale parallel scientific applications augment our basic goal of integrating the advanced systems thought going on in academic and national laboratories communities. File Systems and Databases at Scale: My newest research directions explore the reorganization of large scale storage services inspired by internet services like Google's GFS and Bigtable and Yahoo's Hadoop open source cluster software stack. Parallel file systems and unstructured databases are being reconsidered and reorganized to be much more inherently scalable. Data Intensive Scalable Computing (DISC) is a paradigm shift for how large scale computing serves a very broad range of science, web users and industry. This is a very exciting time to be a core scalable storage systems researcher! diff --git a/src/data/compiled_bios/5517.txt b/src/data/compiled_bios/5517.txt new file mode 100644 index 0000000000..223b234c3e --- /dev/null +++ b/src/data/compiled_bios/5517.txt @@ -0,0 +1 @@ +A long-term goal that drives my research is to provide, where appropriate, as rigorous as possible a foundation to the design and implementation of software. My specific interest is the application of formal specification and analysis techniques to reason about complex software systems. My current research interests focus on trustworthy computing: reliability, security, privacy, and usability. For many years, I have worked on reliable software; in recent years, I have worked on security. I am now mostly interested in the foundations of security and privacy. Much as we have algorithms, impossibility results, and formal methods for building reliable, distributed systems, I am interested in laying similar kinds of foundations for security and privacy. For security, I seek compositional techniques and properties that allow one to reason locally in order to build large systems with clean interfaces and well-defined behavior. I am now also interested in the technical challenges of privacy, e.g., how to specify and reason about privacy policies, how to determine whether a software system is compliant with a given privacy policy. I am particularly keen on investigating formal logics for reasoning about privacy and applications in healthcare. Here is a sample of some current projects: Information Flow Experiments: How can one detect what data is being used by a website? To answer this specific question, Michael Tschantz, Anupam Datta, and I formalize information flow analyses where the analyst has neither control nor a complete model of the analyzed system. We prove that generalizations of our specific problem are ones of causal inference. Leveraging this connection, we push beyond traditional information flow analysis to provide a systematic methodology based on experimental science and statistical analysis. Science of Security: Rather than the band-aid approach we currently use to patch our systems after we detect an exploit of a security vulnerability, suppose we could build software systems based on theories, laws, and principles with predictable value with respect to security properties? Predictability requires security modeling, e.g., game-theoretic models, and security analysis, including quantitative, not just qualitative analysis. To address scalability, I am interested in understanding when security properties do or do not compose, and how to achieve compositionality. I am also interested in security metrics. Trust in Networks of Humans and Computers: The advent of social media gives rise to this fundamental question "How can I (a human) trust the information I receive through the Internet?" Virgil Gligor and I are exploring the combination of trustworthiness from computer science the concept of behavioral trust from economics. Our goal is to build a general theory of trust for networks of humans and computers. My past research projects include: Larch, a family of specification languages noted for its two-tiered approach to specifying program modules; Miro, a visual specification language for specifying file system security constraints; Avalon, extensions to C and CommonLisp to support distributed transactions; Venari, extensions to Standard ML to support concurrent multi-threaded transactions; and signature and specification matching of software components. TinkerTeach, software infrastructure for electronic delivery of courseware, but best known for providing the TOM conversion service which is in heavy daily use worldwide; Revere, invention of a fully automatic analysis technique called "theory generation," as applied to authentication protocols and simple electronic commerce protocols (the thesis topic of my former student, Darrell Kindred); Verifiable Secret Redistribution, a protocol for recovering shared secrets in a survivable storage system (the thesis topic of my former student, Ted Wong). Attack Graphs, tools for generating attack graphs automatically through an all counterexamples extension of model checking Attack Surface Security Metric, a method for measuring the "attack surface" of a software system, useful for comparing whether one version of a system is "more secure" than another (the thesis topic of my former student, Pratyusa Manadhata) Privacy Specification and Compliance: Formalization "use" and "purpose," notions common in privacy policies, in terms of planning modes from artificial intelligence (the thesis topic of my former student, Michael Tschantz, co-advised with Anupam Datta) diff --git a/src/data/compiled_bios/5518.txt b/src/data/compiled_bios/5518.txt new file mode 100644 index 0000000000..24c98ddb34 --- /dev/null +++ b/src/data/compiled_bios/5518.txt @@ -0,0 +1 @@ +Complexity and Real Computation. In 1989, Steve Smale, Mike Shub and I introduced a theory of computation and complexity over an arbitrary ring or field R. In 1997, along with Felipe Cucker, we published a book, Complexity and Real Computation (Springer-Verlag). From our Introduction: "The classical theory of computation had its origin in the work of logicians -- of Godel, Turing, ... , among others -- in the 1930's. The model of computation developed in the following decades, the Turing machine, has been extraordinarily successful in giving the foundations and framework for theoretical computer science. "The point of view of this book is that the Turing model (we call it "classical") with it's dependence on 0's and 1's, is fundamentally inadequate for giving such a foundation for modern scientific computation, where most of the algorithms - with origins in Newton, Euler, Gauss, et al. - are real number algorithms." Our approach applies to the analysis of algorithms over continuous domains as well as the discrete. The classical theory is recovered if we allow the ring R to be Z_2 (the integers mod 2). But now R can also be the real or complex numbers, or any other field. The familiar complexity classes P, NP and fundamental question "does P= NP?" make sense over R and moreover, relate explicitly to fundamental problems in mathematics such as Hilbert's Nullstellensatz. Thus, we are particularly interested in research concerning the complexity of algorithms that solve systems of polynomial equations. Transfer Principles for Complexity Theory. A powerful tool of the classical theory is that of reduction: If problem A can be shown to be reducible to problem B, then techniques for solving B can be used to solve A. Classically, A and B are both discrete, i.e. defined over the same domain Z_2. But now we have an additional powerful tool, namely that of transfer: When there was essentially only one model of computation (i.e. over Z_2), it didn't make sense to transfer complexity results from one domain to another. But now, transfer becomes a real possibility. We can ask: Suppose we can show P=NP over the complex numbers (using all the mathematics that is natural here). Then can we conclude that P=NP over another field such as the algebraic numbers or even over Z_2? (Answer: Yes and essentially yes.) I am particularly interested in such transfer results and problems that appear in the interface between the discrete and the continuous. diff --git a/src/data/compiled_bios/5519.txt b/src/data/compiled_bios/5519.txt new file mode 100644 index 0000000000..1e1e55ba16 --- /dev/null +++ b/src/data/compiled_bios/5519.txt @@ -0,0 +1 @@ +At the height of its construction, 44,733 people worked on the Panama Canal. The Great Pyramid of Giza required 50,000 workers and the Apollo Project 400,000. No matter what you put on this list, humanity's largest achievements have been accomplished with less than a few hundred thousand workers because it has been impossible to assemble (let alone pay!) more people to work together--until now. With the Internet, we can coordinate the efforts of billions of humans. If 400,000 people put a man on the moon, what can we do with 100 million? My research aims to develop theories and build computer systems that enable massive collaborations between humans and computers for the benefit of humanity. I am working to develop a new area of computer science called human computation, which studies how to harness the combined power of humans and computers to solve problems that would be impossible for either to solve alone. diff --git a/src/data/compiled_bios/552.txt b/src/data/compiled_bios/552.txt new file mode 100644 index 0000000000..132a6539a6 --- /dev/null +++ b/src/data/compiled_bios/552.txt @@ -0,0 +1 @@ +Shan Lu Associate ProfessorDepartment of Computer Science Physical Sciences Collegiate Division Email: shanlu@cs.uchicago.edu Phone: (773) 702-3184 Office: JCL 343 Website: http://people.cs.uchicago.edu/~shanlu Research: software reliability, systems Biography Shan's research focuses on software reliability, particularly detecting, diagnosing, and fixing concurrency bugs and performance bugs in large software systems. Shan received her Ph.D. at University of Illinois, Urbana-Champaign, in 2008. She was the Clare Boothe Luce Assistant Professor of Computer Sciences at University of Wisconsin, Madison, from 2009 to 2014. Shan has won Alfred P. Sloan Research Fellow in 2014, Distinguished Alumni Educator Award from Department of Computer Science at University of Illinois in 2013, and NSF Career Award in 2010.Her co-authored papers won ACM-SIGSOFT Distinguished Paper Award at FSE 2014, the Best Paper Award at USENIX FAST in 2013, ACM-SIGPLAN CACM Research Highlight Nomination in 2011, and IEEE Micro Top Picks in 2006.She currently serves as the Information Director of ACM-SIGOPS. diff --git a/src/data/compiled_bios/5520.txt b/src/data/compiled_bios/5520.txt new file mode 100644 index 0000000000..d318d57382 --- /dev/null +++ b/src/data/compiled_bios/5520.txt @@ -0,0 +1 @@ +My research sets out to show that we can design computers that are guaranteed to interact correctly with the physical world. The solution to this challenge is the key to enabling computer assistance that we can bet our lives on. My research pursues this challenge with the principled design of programming languages with logic that can provide proofs as correctness guarantees. Whether in cars, aircraft, or robots, the decisions that their computer programs reach have a crucial impact on all of us and they have the potential to make the world a better place. Computer programs can help us drive cars, help pilots fly aircraft, and enable robots to help the humans that they are interacting with. Along with these exciting prospects comes the responsibility to get the programs correct, though, which is quite a difficult challenge in light of the vagaries and uncertainties of the physical world. My research group is pursuing this challenge with three related thrusts: 1) The design of mathematically grounded programming languages for dynamical systems that make it possible to unambiguously describe the behavior of a computer control program and its interaction with a physical model and to reason about its effect in logic. 2) The design and realization of practical proof systems for those logics that make it possible to efficiently analyze the safety of a dynamical system. 3) Making use of these capabilities by analyzing challenging applications in our prover KeYmaera X. Programming Languages and Logic for Dynamical Systems Logics of dynamical systems study logics and proof principles for properties of dynamical systems. Dynamical systems are mathematical models describing how the state of a system evolves over time. They are important in modeling and understanding many applications, including embedded systems and cyber-physical systems (CPSs). CPSs combine cyber capabilities (computation and/or communication) with physical capabilities (motion or other physical processes) to solve problems that no part could solve alone. Cars, aircraft and robots are prime examples, because they move physically in space in a way that is determined by discrete computerized control algorithms. Designing these algorithms to control CPSs is challenging due to their tight coupling with physical behavior. At the same time, it is vital that these algorithms be correct, since we rely on CPSs for safety-critical tasks like keeping aircraft from colliding. "How can we provide people with cyber-physical systems they can bet their lives on?" [Jeannette Wing] In our group, we develop the Logical Foundations of Cyber-physical Systems and study the use of logics of dynamical systems and their programming languages in formal verification and validation of CPS. This relatively young area is a promising direction for future research, unique in its manifold connections to other pure and applied sciences, including many areas of mathematics, physics, and control theory. KeYmaera X: An Axiomatic Tactical Theorem Prover for Hybrid Systems KeYmaera X is our theorem prover for logics for dynamical systems, especially hybrid systems with mixed discrete and continuous dynamics. Reasoning about complicated hybrid systems requires support for sophisticated proof techniques and efficient computation. KeYmaera X allows users to specify custom proof search techniques as tactics, execute tactics in parallel, and interface with partial proofs via an extensible user interface. KeYmaera X is built up from a small trusted core. The core contains a finite list of locally sound axioms that are instantiated using a uniform substitution proof rule. Isolating all soundness-critical reasoning in this axiomatic core obviates the otherwise intractable task of ensuring that proof search algorithms are implemented correctly. This enables advanced proof search features---such as aggressive, speculative proof search and user-defined tactics built using a flexible tactic language---without correctness concerns that could undermine the usefulness of automated analysis. Applications Practical applications of cyber-physical systems can have a huge impact on society if they are safe, which is what logic and programming language techniques can help ensure. Conversely, applications give rise to many interesting challenges and insights on how reasoning about CPS can be mode more efficient. This gives us a dual interest in applications, for the sake of finding out how to safely design CPS as well as as an inspiration for new reasoning principles. Logics of dynamical systems have already been instrumental in verifying many applications, including the Airborne Collision Avoidance System ACAS X, the European Train Control System ETCS, several automotive systems, mobile robot navigation with the dynamic window algorithm, and a surgical robotic system for skull-base surgery. diff --git a/src/data/compiled_bios/5521.txt b/src/data/compiled_bios/5521.txt new file mode 100644 index 0000000000..02bf15def7 --- /dev/null +++ b/src/data/compiled_bios/5521.txt @@ -0,0 +1 @@ +Creating a large-scale database application is easier now than it ever has been, in part due to the proliferation of distributed system tools, cloud-computing platforms, and affordable mobile sensors. But now the processing and storage needs of Internet-scale, "Big Data" applications are surpassing the limitations of legacy database management systems (DBMSs). As a result, I am interested in the research and development of new DBMS technologies for these modern high-volume and data-intensive applications. In particular, my research is focused on novel distributed and parallel DBMS architectures for transaction processing applications (OLTP), analytical/business intelligence workloads (OLAP), and scientific computing. Much of my work is in applying techniques from machine learning and optimization research to enable these distributed DBMSs to execute workloads that are beyond what single-node systems can support. I am also interested in studying the performance characteristic's of non-volatile memory devices in the context of Big Data systems in order to build the groundwork for new DBMS architectures that can take advantage of these emerging technologies. diff --git a/src/data/compiled_bios/5522.txt b/src/data/compiled_bios/5522.txt new file mode 100644 index 0000000000..c735b8ded0 --- /dev/null +++ b/src/data/compiled_bios/5522.txt @@ -0,0 +1 @@ +My research goal is to develop science and technology to account for information flows in complex systems, including big data systems and cryptographic protocols. Accountability in Big Data Systems/Machine Learning A specific focus is on accountability in big data systems that employ machine learning. We are developing theories and tools that can be used to provide oversight of complex information processing ecosystems (including big data systems) to ensure that they respect privacy, and other desirable values in the personal data protection area, such as fairness and transparency. This includes foundations, methods, and tools for detection of violations, explanations for decisions by machine learning systems, attribution or responsibility-assignment for the violations, and correction of responsible entities to avoid future violations. The technical work is informed by and applied to significant practical privacy problems in a broad range of sectors, including Web and healthcare privacy. Significant recent results include the following: Algorithmic transparency via Quantitative Input Influence -- an approach to measuring causal influence of features on decisions of a machine learnt classifier [IEEE S & P 2016] The first statistically rigorous methodology for information flow experiments to discover personal data use by black-box Web services [CSF 2015]. The AdFisher tool that implements an augmented version of this methodology to enable discovery at scale; and its application in the first study to demonstrate statististically significant evidence of discrimination in online behavioral advertising [PETS 2015] (see also the FAQ on this study and AdFisher) The first automated privacy compliance analysis of the production code of an Internet-scale system -- the big data analytics pipeline for Bing, Microsoft's search engine; leverages our usable privacy policy language called Legalease, and an information flow analysis methodology (joint work with Microsoft Research) [IEEE S & P 2014] The first complete logical specification of all disclosure-related clauses of the HIPAA Privacy Rule for healthcare privacy [WPES2010] and audit algorithms that apply to it and, more generally, to a rich class of policies (fragments of metric first-order temporal logic) [CCS 2011, CAV 2014, CCS 2015] The first formal semantics for purpose restrictions on information use and associated audit algorithms[IEEE S & P 2012, ESORICS 2013] A formalization of privacy as contextual integrity [IEEE S & P 2006] (see also the White House's Consumer Privacy Bill of Rights) diff --git a/src/data/compiled_bios/5523.txt b/src/data/compiled_bios/5523.txt new file mode 100644 index 0000000000..4a8dff7d0b --- /dev/null +++ b/src/data/compiled_bios/5523.txt @@ -0,0 +1 @@ +My main research interests are in Network Design and Metric Embeddings; I also work on Approximation and Graph algorithms. Network Design and Optimization. Given a graph and a collection of userswho want to communicate with each other, the aim of network design is toprovision "good" networks satisfying the communication requirements. Asstated, things are still underspecified, and lead to many questions: e.g., what are the criteria for goodness? Are the networks capacitated?What is the cost model for allocating bandwidth? Are we routing paths (as in telephone calls), or can we deal with traffic as flows (as in packet routing)? What do communication requirements look like, and how are they specified? Furthermore, things are made more complicated by the fact that data is often not available beforehand---how does one handle uncertainity? I have been working on modeling and designing provably good algorithms for some of the problems arising from these issues. In particular, I have been working on handling uncertainity in data, and on designing networks for cost models that incorporate economies of scale. Metric Embeddings. The goal of this area is to study the structure of metric spaces, and to use this understanding in the design of algorithms for a variety of problems arising on metrics. The approach to expose the inherent structure of metrics is to map the metric into a conceptually "simpler" metric that can be used in algorithmic applications in lieu of the original metric; of course, the new simpler metric should resemble the given metric, and hence the map should not distort distances by too much. For instance, if we wanted to solve the travelling salesman problem on a metric space, and we could map the metric into a tree changing the distances by only 10%, then we could solve the TSP on the simpler metric optimally, and this would be within 10% of the optimal solution on the original graph. In recent years, embeddings have become an indispensible tool in the algorithm designer's toolbox, being very powerful and versatile; they have been used for geometric algorithms, finding good graph separators, online algorithms, network design, data structures and many other applications. Despite these successes, many fundamental problems remain open in the area, including understanding how well given metrics can be embedded into Euclidean and other normed spaces; how given data sets can be embedded into low-dimensional spaces without distorting distances substantially; how the topology of graphs interacts with their metric properties, etc. All this research proceeds hand in hand with the algorithmic applications, primarily to providing approximation algorithms for a variety of problems on graphs. diff --git a/src/data/compiled_bios/5524.txt b/src/data/compiled_bios/5524.txt new file mode 100644 index 0000000000..71dab1e2ba --- /dev/null +++ b/src/data/compiled_bios/5524.txt @@ -0,0 +1 @@ +I am interested in the mathematical foundations of artificial intelligence, and mainly think about questions at the (pairwise) intersections of AI, social choice, and game theory. Specifically, my research interests include, but are certainly not limited to: multiagent systems, computational social choice and preference handling, computational mechanism design and fair division, machine learning, social networks and reputation systems, decision making under uncertainty, and human computation.Some examples of projects I am currently working on: Dynamic social choice: I am augmenting social choice theory using models and techniques from the AI research on decision making under uncertainty to create and analyze new social choice models where preferences can change dynamically. Incentives in machine learning: I am studying the role of incentives play in machine learning, and designing machine learning algorithms that are immune to manipulation by strategic agents. Voting and human computation: I wish to design optimal voting rules for use in online labor markets such as Amazon Mechanical Turk. Fair division of resources: How does one cut a cake fairly? This is a long-standing question that is algorithmic in nature but has received little attention from computer scientists. Related issues include allocation of shared resources in cloud computing environments. diff --git a/src/data/compiled_bios/5525.txt b/src/data/compiled_bios/5525.txt new file mode 100644 index 0000000000..d410915319 --- /dev/null +++ b/src/data/compiled_bios/5525.txt @@ -0,0 +1 @@ +I am an assistant professor in the department of Electrical and Computer Engineering at Carnegie Mellon University. I do research on the boundary between computer architecture, computer systems, and programming languages to make computer systems more capable, more reliable, and more efficient. I lead the abstract research group (http://abstract.ece.cmu.edu). Here are some of my current research interests: Defining Intermittent Computing: We are working to make intermittent computing devices that harvest energy from their environment, programmable, reliable, and robust to common-case power failures (http://intermittent.systems). These devices are really exciting because they are a great fit for sensing, medical implants, "extreme" scenarios (like outer space!) and lots of other things. Watch this video (https://youtu.be/mHb-C12nI2o) for a 3 minute overview of our work in this area. Safe, Simple, & Efficient Future Parallel Computing: We are working to create better software systems and computer architectures that make parallel computing correct, reliable, and efficient. The problem space is especially interesting now with the end of Moore's Law and Dennard Scaling, and the move to crazy heterogeneous parallel systems, approximate computing, distributed system architectures, and emerging (e.g., non-volatile, biological) technology maturing and becoming useful. diff --git a/src/data/compiled_bios/5526.txt b/src/data/compiled_bios/5526.txt new file mode 100644 index 0000000000..12a75879cb --- /dev/null +++ b/src/data/compiled_bios/5526.txt @@ -0,0 +1 @@ +My research is primarily focused on investigating long-term, fundamental improvements in how to design and build secure systems. As a result, my work combines theory and practice to provide formal, rigorous security guarantees about concrete systems, with an emphasis on creating solid foundations for practical solutions. In the past, I have worked on topics such as network and system security, applied cryptography, usable security, and data privacy. Below are two of my long-running research directions, both focused on providing users with strong guarantees about the security of remote services. Securely Outsourcing Computation to the Cloud: From Cryptographic Theory to Practice To provide strong guarantees for outsourced computations, we developed a new cryptographic framework, Verifiable Computation, which allows clients to outsource general computations to completely untrusted services and efficiently verify the correctness of each returned result. Through improvements to the theory and the underlying systems over the last few years, we reduced the costs of verification by over twenty orders of magnitude. As a result, verifiable computation is now a thriving research area that has produced several startups, as well as enhancements to the security and privacy of X.509, MapReduce, and Bitcoin. We are continuing to explore improvements and applications in this space, as well as other settings where cryptographic advances can be deployed to create fundamentally more secure services. Building Provably Secure Systems While verifiable computation provides strong guarantees, even the best cryptographic system is useless if implemented badly, applied incorrectly, or used in a vulnerable system. Thus, I have led a team of researchers and engineers in the Ironclad project (https://github.com/Microsoft/Ironclad), working to expand formal software verification to provide end-to-end guarantees about the security and reliability of complex systems. By creating a set of new tools and methodologies, Ironclad produced the first complete stack of verified-secure software. We also recently developed the first methodology for verifying both the safety and liveness of complex distributed systems implementations. Many interesting challenges remain, including verifying concurrent or probabilistic programs, improving the performance of verifiers and verified code, and enhancing the stability of automated proofs. Nonetheless, I expect that verification will fundamentally improve the software that underpins our digital and physical infrastructure. diff --git a/src/data/compiled_bios/5527.txt b/src/data/compiled_bios/5527.txt new file mode 100644 index 0000000000..f313bf103d --- /dev/null +++ b/src/data/compiled_bios/5527.txt @@ -0,0 +1 @@ +There are two main focus areas: graph mining and stream mining. In the first, the goal is to find patterns in large graphs, so that we can spot anomalies, communities, patterns and regularities. Graphs appear in many instances: as document-term bipartitegraphs in Information retrieval, as web pages or blogs linking to each other, as customer-product recommendations, as protein-protein regulatory networks, as computer-network traffic, and many more. Our emphasis is on scalability, so that we can handle graphs withthousands and millions of nodes. Research directions include time-evolving graphs, where we have beenusing 'tensors' to find patterns, as well as graphs where the nodes and/or the edges have attributes. The second research area focuses on streams, which are semi-infinitenumerical time series. The setting also has numerous applications, like sensor data monitoring, motion capture data, automatic alerts in the 'self-*' PetaByte storage system, chlorine level monitoring on the drinking water, and several more. The emphasis is to develop algorithms that inspect every measurementonly once, and then discard it, since we can not affort to store the huge volume of historical data. The common threads in both areas are the power-laws and the existenceof self-similarity. Real graphs have skewed, Zipf-like degree distributions, and consist of communities-within-communities. Similarly, real sensor measurements are often bursty, but still self-similar, with bursts within bursts. We use or develop tools that exactly exploit the power laws and self-similarity, to find better patterns and anomalies than standard tools would find. keywords: Database Management Systems, Data Mining, Graphs, Social Networks, Network Security. diff --git a/src/data/compiled_bios/5528.txt b/src/data/compiled_bios/5528.txt new file mode 100644 index 0000000000..74038bd29f --- /dev/null +++ b/src/data/compiled_bios/5528.txt @@ -0,0 +1 @@ +My major interest is in the modular design and rapid prototyping of dependable computing structures. Three research projects support this interest: Mobile/Wearable/Context Aware Computers and Virtual Coaches, Concurrent Design, and Reliable Systems. Mobile/Wearable/Context Aware Computers and Virtual Coaches. The information processing industry is undergoing a paradigm shift. In the 1990's wearable computers allow mobile users to remotely access information and collaborate with exerts. We have built over two dozen mobile and wearable computer systems in such diverse areas as heavy vehicle maintenance, aircraft manufacturing, plant operations, language translation, and medical monitoring. Systems involve hardware architecture, software architecture, wireless communications, interaction between energy consumption and functionality, ergonomic design, and human computer interaction. By adding low cost sensors and machine learning algorithms, small platforms such as smart phones and smart watches can be made context-aware and respond proactively to situations based upon learned user preferences. Using sensor data and machine learning, user intention, situation, and emotional state can be inferred and context appropriate real-time feedback provided to engage, encourage, and improve quality of life in such diverse activities as rehabilitation exercises, completing complex tasks, and learning something for the first time. Concurrent Design. The goal is to support the generation of designs from high level systems specifications into completely assembled electronics, mechanical, user interaction, and software systems and reduce design time by 1 to 2 orders of magnitude. The Concurrent Design methodology has been used in all generations of mobile systems described above. Groups of up to 30 designers representing up to five disciplines design and fabricate multiple copies in less than four months, and develop tools to support the concurrent design process. For all levels of design there are common issues that must be addressed including design data bases, design information representation, human-computer interfaces, simulation/validation/ verification, automatic synthesis, test generation, and design selection criteria. Reliable Systems. For over three decades, computer system design and evaluation has been based upon performance benchmarks. Comparable benchmarks do not exist for evaluating the quality and robustness of computer hardware/software systems. This project is developing a family of portable benchmarks for a variety of operating systems and programming language environments. The benchmarks are based upon over a decade of experimentation with fault injection including the next generation air traffic control system. Another goal of the project is to develop technology to enable the construction of reliable systems from commercial-off-the-shelf (COTS) hardware and software. Studies indicate that the majority of system downtime is due to human errors in either design or operation. This project also explores the design of software systems and interfaces to reduce human errors. Research is in cooperation with Roy Maxion and Phil Koopman. diff --git a/src/data/compiled_bios/5529.txt b/src/data/compiled_bios/5529.txt new file mode 100644 index 0000000000..93f6e49a14 --- /dev/null +++ b/src/data/compiled_bios/5529.txt @@ -0,0 +1 @@ +I have worked in a variety of different areas of computer science, including amortized analysis of algorithms, self-adjusting data structures, competitive algorithms, natural language parsing, computer game playing, synthesis of musical sounds, and persistent data structures. Natural Language: I (jointly with co-author Davy Temperley) wrote a parser for English. The system (which we call a link grammar) is unlike phrase structure parsing or context free parsing. The scheme is elegant and simple, and our grammar captures a very wide variety of complex phenomena in English. We (John Lafferty and I) plan to use this as a basis for a new statistical model of language. This work on language is described in two technical reports: CMU-CS-91-196, CMU-CS-92-181. Competitive Algorithms: Consider the idealized problem of deciding whether to rent or buy skis. You're about to go skiing. The cost of renting skis is $20, the cost of buying them is $400. Clearly if you knew that you were going to go skiing more than twenty times, then you could save money by immediately buying skis. If you knew that you would go skiing fewer than twenty times, then it would be prudent to always rent skis. However, suppose that you cannot predict the future at all, that is, you never know until after one ski trip ends if you will ever go skiing again. What strategy would you use for deciding whether to rent or buy skis? Your goal is to minimize the ratio of the cost that you incur to the cost you would incur if you could predict the future. (Hint: you can come within a factor of two.) Since the simple principle behind this example turns out to be very useful we have given it a name. A competitive algorithm is an on-line algorithm (it must process a sequence of requests, and it must process each request in the sequence immediately, without knowing what the future requests will be), whose performance is within a small constant factor of the performance of the optimal off-line algorithm for any sequence of requests. (In the skiing example, there is only one type of request, and the only uncertainty is in knowing how long the request sequence will be.) My collaborators and I have discovered a surprising variety of practical problems for which there exist very efficient competitive algorithms. We have also developed a partial theory of competitive algorithms. However there remain many interesting open problems, from discovering competitive algorithms for specific problems, to answering general questions about when such algorithms exist. Data Structures: Data structure problems are typically formulated in terms of what types of operations on the data are required, and how fast these operations should take place. A worst-case analysis of the performance of a data structure is a bound on the performance of any operation. An amortized analysis of a data structure bounds the performance of the structure on a sequence of operations, rather than a single operation. It turns out that by only requiring amortized efficiency (rather than worst-case), a variety of new and elegant solutions to old data structure design problems become possible. My collaborators and I have devised a number of such solutions (splay trees, skew heaps, fibonacci heaps, self-adjusting lists, persistent data structures, etc.), and I continue to have a strong interest in data structures and amortized analysis. diff --git a/src/data/compiled_bios/553.txt b/src/data/compiled_bios/553.txt new file mode 100644 index 0000000000..22d2c1090b --- /dev/null +++ b/src/data/compiled_bios/553.txt @@ -0,0 +1 @@ +Stuart Kurtz Professor Department of Computer Science and the College Master, Physical Sciences Collegiate Division Email: stuart@cs.uchicago.edu Office: JCL 247 Website: http://people.cs.uchicago.edu/~stuart Research: theory Research Focus: Computational Logic, Type Theory, Complexity Theory, Randomness. diff --git a/src/data/compiled_bios/5530.txt b/src/data/compiled_bios/5530.txt new file mode 100644 index 0000000000..8ef1a3bfe3 --- /dev/null +++ b/src/data/compiled_bios/5530.txt @@ -0,0 +1 @@ +My research focuses on networks and distributed systems. My interests lie in creating systems that meet goals such as robustness, high availability, and energy efficiency. My current research encompasses two large project areas: FAWN: Fast Arrays of Wimpy Nodes. The FAWN project aims to develop computational cluster architectures, and software techniques to use them, that are drastically more energy and cost-effective than today's technologies. We do so by building clusters from systems that are comparatively slow by the standards of today's leading-edge, but that together, can provide drastically more throughput and computational capability at lower power. We then tackle the problems of actually using such systems by developing new algorithms and systems techniques for data-intensive processing on these clusters. Typical challenges we seek to overcome are using substantially less memory than prior approaches, harnessing new storage technologies such as Flash and phase-change memory, and coping with systems composed of 5x more nodes than previously used. XIA: The Expressive Internet Architecture. XIA is a clean-slate approach to Internetworking, in a collaboration with numerous faculty at Carnegie Mellon and elsewhere. The goal of the project is to develop an Internet architecture for the next 100 years: one that is robust, has drastically improved security compared to todays, and, most importantly, one that can evolve easily to meet as-yet-unknown uses and challenges. diff --git a/src/data/compiled_bios/5531.txt b/src/data/compiled_bios/5531.txt new file mode 100644 index 0000000000..a83e33bb1b --- /dev/null +++ b/src/data/compiled_bios/5531.txt @@ -0,0 +1 @@ +My primary research area is software security techniques that give users guarantees. My research is at the intersection of model checking, formal methods, compilers, and logic, all of which are applied to security problems. Some of the central techniques that we are developing in order to accomplish our goals include efficient symbolic execution, reasoning about bit-level arithmetic in finite fields, sound decompilation, and decision procedures. I also work in other areas of computer security, such as network security and applied cryptography. In these areas, we look at efficient protocols, efficient signature schemes, and privacy-preserving cryptography. Current questions we are working on include can we automatically generate exploits? Can we automatically develop recognizers for exploits of a particular vulnerability? What are the limits of reverse engineering? Can we show that Microsoft implements RSA correctly, and that they aren't stealing our secrets? Can we show a crypto algorithm doesn't leak secrets via side-channels? What do we need to change to keep software patches from breaking systems? How do things change in critical systems, e.g., securing an MRI machine in a hospital? Would you want to be the first to get an MRI after a software update? In our setting, we typically assume the software in these settings is only available in binary (i.e., executable) form. Binary code analysis is attractive for several reasons. First, binary-level code analysis allows us to argue about the security of the code that actually executes, not just what was compiled. Second, everyone has access to the programs they run in binary form, thus binary-only techniques promise to be widely applicable. Finally, a binary program is a program in the most basic and primitive form. If we can reason about security concerns at the binary level, we can faithfully reason about software security problems in any language. diff --git a/src/data/compiled_bios/5532.txt b/src/data/compiled_bios/5532.txt new file mode 100644 index 0000000000..19fd3fdc0b --- /dev/null +++ b/src/data/compiled_bios/5532.txt @@ -0,0 +1 @@ +I work in the area of computer systems. My interests within computer systems are quite broad, including online education, cloud computing, and scientific computing. My main interest these days is the phenomena surrounding autograding, that is, programs evaluating other programs. The CMU Autolab group is developing a new cloud-based service that teachers around the world can use to offer programming labs for their computer classes. The service is based on the notion of autograding, that is, programs evaluating other programs. Our vision is that teachers can select the labs for their classes from a repository of high-quality labs written by other teachers and students. An author whose lab is adopted for a class receives community recognition, in the form of a public adoptions page, and possibly even a small royalty. Each time a student hands in their work for credit, the service spins up a new VM and autogrades the student's work in this new VM. The scores are displayed, anonymized, on a realtime scoreboard that is visible to everyone in the class. Our aim with this work is to improve the quality of computer science education worldwide by providing a way for teachers to share their good labs with each other. This sharing will enable good teachers to get credit for their work from their peers. The assignment of credit, in turn, will help foster the birth of a new reputation-based community for teachers. Researchers have enjoyed this kind of community for years, but teachers have never developed one, working for the most part in isolation, with little opportunity to learn and benefit from each other. Students who are passionate about education would enjoy working with us. Drop by any time if you want to chat. diff --git a/src/data/compiled_bios/5533.txt b/src/data/compiled_bios/5533.txt new file mode 100644 index 0000000000..5731929475 --- /dev/null +++ b/src/data/compiled_bios/5533.txt @@ -0,0 +1 @@ +My current research interests are communication complexity, data stream algorithms and lower bounds, graph algorithms, machine learning, numerical linear algebra, sketching, and sparse recovery. diff --git a/src/data/compiled_bios/5534.txt b/src/data/compiled_bios/5534.txt new file mode 100644 index 0000000000..64c69cf267 --- /dev/null +++ b/src/data/compiled_bios/5534.txt @@ -0,0 +1 @@ +Dr. Eric Xing is a Professor of Machine Learning in the School of Computer Science at Carnegie Mellon University, and the founding director of the CMU/UPMC Center for Machine Learning and Health. His principal research interests lie in the development of machine learning and statistical methodology; especially for solving problems involving automated learning, reasoning, and decision-making in high-dimensional, multimodal, and dynamic possible worlds in social and biological systems. Professor Xing received a Ph.D. in Molecular Biology from Rutgers University, and another Ph.D. in Computer Science from UC Berkeley. His current work involves, 1) foundations of statistical learning, including theory and algorithms for estimating time/space varying-coefficient models, sparse structured input/output models, and nonparametric Bayesian models; 2) computational and statistical analysis of gene regulation, genetic variation, and disease associations; and 3) large-scale systems for machine learning. Professor Xing has published over 200 peer-reviewed papers, and is an associate editor of the Annals of Applied Statistics (AOAS), the Journal of American Statistical Association (JASA), the IEEE Transaction of Pattern Analysis and Machine Intelligence (PAMI), the PLoS Journal of Computational Biology, and an Action Editor of the Machine Learning Journal (MLJ), the Journal of Machine Learning Research (JMLR). He is a member of the DARPA Information Science and Technology (ISAT) Advisory Group, a recipient of the NSF Career Award, the Sloan Fellowship, the United States Air Force Young Investigator Award, the IBM Open Collaborative Research Award, and best paper awards in a number of premier conferences including UAI, ACL, EMNLP, SDM, ISMB. He is the Program Chair of ICML 2014. diff --git a/src/data/compiled_bios/5535.txt b/src/data/compiled_bios/5535.txt new file mode 100644 index 0000000000..5e4c2a3721 --- /dev/null +++ b/src/data/compiled_bios/5535.txt @@ -0,0 +1 @@ +At the heart of my research lies the desire to understand the principles of programming languages. Programming languages are the key to the programming process and therefore of fundamental importance to computer science. Well-designed programming languages allow fast program development, ease software maintenance, and increase confidence in the correctness of implementations. Poorly designed programming languages lead to verbose and impenetrable programs that are difficult to debug and maintain. One of the trends in computer science has been the development of a plethora of languages, often for very specific purposes. Unfortunately, many of these languages are woefully misdesigned, because their developers were unaware of or have disregarded basic principles of programming language design. My research thus aims at discovering such principles and experimenting with them through implementations and environments. In support of this goal, I am pursuing three interconnected threads of research. The first is the development of meta-languages which codify programming language concepts and support formal reasoning about properties of programming languages. The second is the design of expressive type systems for practical programming languages which allow more program errors to be caught at compile-time without sacrificing conciseness or efficiency of programs. The third is the application of programming language techniques in domains where they are currently undervalued, such as mobile code or robotics. In all of these I collaborate closely with colleagues and students who are not mentioned explicitly below. Please refer to my home page for recent drafts and publications. Meta-languages. In this area my research focuses on the development of a uniform meta-language and environment which supports specification, implementation, and formal reasoning about programming languages and logics. The currently released implementation is Twelf 1.2 which embodies many of the representation and implementation techniques discovered in my research on logical frameworks. Underlying Twelf is a type theory which is used for specification, constraint logic programming, and meta-theoretic reasoning. Twelf is a significant step towards an environment for teaching and research in the areas of programming languages and logics. Current and future work on Twelf consists mainly in improving its expressive power to capture more language phenomena in a concise and natural way. There is ongoing work on a linear extension (to capture imperative and concurrent computation), an ordered extension (to capture adjacency and sequencing), and extension by constraints (to capture integers, rationals, and similar domains). Type systems.. In this area I have concentrated on extending the expressive power of type systems to allow more properties of programs to be checked statically. Invariants which can otherwise only be stated informally can be expressed in these systems and verified by a type-checker. This provides additional machine-checked documentation, more detailed interface specifications at the module level, and allows more errors to be detected at compile-time. All these properties combine to improve programmer productivity and simplify program maintenance. Concretely, I have developed refinement types (for inductively specified properties of data representation), dependent types (for array bound and similar constraints) and modal types (for run-time code generation). Applications. I believe that programming language research cannot exist in a vacuum---it must address problems encountered by real programmers in real applications. Whether this is the case is often difficult to assess, since at present the gap between research on advanced programming languages and programming practice is, unfortunately, very large. One way to reduce this gap is to take problems faced by programmers today in specific areas and contribute to their solution with programming language techniques. The ConCert project at CMU is an example of this, where we develop techniques for combining modularity with safety and efficiency in the context of grid computing using tools from logic and type theory. In other research I am exploring questions of programming language design for applications in robotics and manufacturing. diff --git a/src/data/compiled_bios/5536.txt b/src/data/compiled_bios/5536.txt new file mode 100644 index 0000000000..baea03c019 --- /dev/null +++ b/src/data/compiled_bios/5536.txt @@ -0,0 +1 @@ +My main interest is in sequential and parallel algorithm design. Of particular interest are problems that arise in scientific computation and image processing. We have been working on three classes of problems. Our work is both more theoretical yet more practical since we require two important properties of our algorithms: they should be both be fast and have strong guarantees of quality, size, and speed. Mesh Generation The question of correctly and efficiently partitioning space into tetrahedra with good aspect ratio so that the features appear in the mesh is at least a fifty year old problem. The computer science community has been working on this problem for about twenty years. The most accurate simulations in the science, engineering, and graphic require small size quality meshes. CMU has been a leader on this problem for the last fifteen years. Spectral Graph Theory The interplay between graph theory and linear algebra is possibly one of the most interesting and practical areas in modern algorithm design. Possibly the most famous example is Google PAGE-RANK which is the Perron-Frobenius eigenvector of the link graph. The second example is the interplay between fast linear solvers and graph theory. We have ongoing collaboration on fast solvers and eigen calculations. These new algorithm work in near linear time. Image Processing We are interested in fast and reliable algorithm for image processing. Of special interest is 3D medical image processing. Our main tool that allows us to get new fast algorithms is spectral graph theory. This has allowed us to compute eigenvectors of our image as speed comparable to many simple filtering algorithms. We are also using interior point methods from convex optimization to de-noise images. Again these methods all use our fast solvers for speed. diff --git a/src/data/compiled_bios/5537.txt b/src/data/compiled_bios/5537.txt new file mode 100644 index 0000000000..41fa68d4c8 --- /dev/null +++ b/src/data/compiled_bios/5537.txt @@ -0,0 +1 @@ +I have broad research interests in computer systems, including cloud computing, storage/file systems, operating systems and distributed systems. I am involved in several ongoing projects in such areas as systems for large-scale ML, cloud/cluster resource scheduling, and exploitation of new storage/NVM technologies. Big-learning systems for Big Data Modern data analytics often relies on statistical machine learning (ML) to parameterize models that fit observation data, for use in making predictions, correlating causes with effects, etc. Growth in data and desired model precision dictate parallel execution of ML algorithms on clusters, with the corresponding work distribution, synchronization, and data consistency challenges. The big-learning group is exploring powerful new approaches for efficient, scalable, and robust big-learning on Big Data. Cloud Computing We are exploring software systems challenges in efficiently supporting and exploiting cloud computing, such as resource allocation/scheduling and exploiting elasticity for stateful services (e.g., storage) and long-running computations (e.g., large-scale ML). Parallel Data Lab (PDL) As Director of the Parallel Data Lab, I lead and collaborate on a number of storage-related projects in areas such as storage system architecture, file systems, and Big Data systems. For example, in addition to the activities discussed above, we are exploring how system software should change to accommodate new storage technologies like non-volatile RAM (e.g., PCM) and best exploit Flash. diff --git a/src/data/compiled_bios/5538.txt b/src/data/compiled_bios/5538.txt new file mode 100644 index 0000000000..9cea0cef80 --- /dev/null +++ b/src/data/compiled_bios/5538.txt @@ -0,0 +1 @@ +My main research interest is in the interaction between algorithms and languages, mostly in the context of parallel computing, and has consisted of both theoretical and experimental work. As programming languages become higher level, implementations become more complex, and parallelism becomes pervasive, users are naturally becoming more removed from the hardware and its costs. Rather than trying to bring programmers down to the level of the machine to understand and get good performance, however, I believe that we should be trying to bring languages and cost models up to the level of the programmer. My research therefore centers around questions of how to model costs (e.g. time and space) for very-high level programming constructs (e.g. dynamic parallelism, futures, garbage collection), of how to design systems so these costs have meaning, and of how to make use of these features in effective algorithms design. My recent work includes work on the PSCICO project with Gary Miller, Bob Harper and Peter Lee. Here we are looking at how to use very-high level programming constructs in geometric and scientific algorithms. We hope this project will give guidance to future language design, and will identify new ways of thinking about algorithm implementation. I also work on applied algorithms, parallel garbage collection, parallel scheduling, efficient parallel algorithms, and continue to work, to some extent, on the NESL programming language, a parallel language that my students and I developed in the early 90s. diff --git a/src/data/compiled_bios/5539.txt b/src/data/compiled_bios/5539.txt new file mode 100644 index 0000000000..52767b7fb9 --- /dev/null +++ b/src/data/compiled_bios/5539.txt @@ -0,0 +1 @@ +My interests span several areas of Artificial Intelligence and Language Technologies, Machine Learning and Computational Proteomics as detailed below. My research style typically combines theory, experimentation and system building in collaboration with students, research staff, and faculty colleagues. More specifically, the following illustrate my recent research areas: Proactive Learning: Whereas supervised machine learning methods are effective given sufficient training data, active learning addresses the issue of selecting unlabeled instances, which if labeled would maximize learning effectiveness. Proactive methods generalize active learning into a constrained optimization process, taking into account differential labeling costs, labeling reliability, and selection of labeling oracles: e.g. human expert, lab experiment, large-scale simulation, crowd-sourcing, etc. Enriched Learning: Machine learning can be improved via transfer learning: prior learning on similar domains or tasks. It can also be improved by enriched teacher-student dialog: going beyond just atomic label queries, typical in active learning. For instance, region queries and similarity queries can reduce sample complexity in certain cases. The goal of this research (with Prof. Avrim Blum) is to go well beyond traditional learning from instance-label pairs. Machine Translation: I am working on learning-based methods for Machine Translation, especially for rare languages where parallel training text is very scarce. This requires linguistic structures as priors, and learning at the structure level as well as the lexical and phrasal transfer level. Computational Proteomics: Proteins are the key building blocks of all living organisms, both in terms of structure and function. They are the components or virtually all biological engines, and the target of most drugs. I have studied how to infer 3D spatial structure from 1D sequences via structural machine learning methods. With Prof Judith Klien-Seetharaman, and I now looking at machine learning methods to induce the host-pathogen (e.g. human-HIV or human-salmonella) protein-protein interaction graph, since pathogens infect hosts via complex protein interactions. diff --git a/src/data/compiled_bios/554.txt b/src/data/compiled_bios/554.txt new file mode 100644 index 0000000000..fd6b7d1785 --- /dev/null +++ b/src/data/compiled_bios/554.txt @@ -0,0 +1 @@ +Andrew Binkowski Assistant Clinical Professor, Masters Program in Computer Science Email: abinkowski@uchicago.edu Phone: 773-702-6857 Website: https://masters.cs.uchicago.edu/masters/masters/page/t-andrew-binkowski-phd diff --git a/src/data/compiled_bios/5540.txt b/src/data/compiled_bios/5540.txt new file mode 100644 index 0000000000..d12a8edd44 --- /dev/null +++ b/src/data/compiled_bios/5540.txt @@ -0,0 +1 @@ +I am interested in using programming language design and formal methods to make it easier for people to write the programs they intended to write. A major portion of my research involves designing language constructs that allow the compiler and language runtime to take responsibility for tedious, error-prone tasks that cut across the program. My prior work has focused on language design, runtime techniques, and program synthesis techniques for factoring information flow security out of programs. This work is based on the semantics I developed for the Jeeves programming language. I am currently expanding to application domains such as performance. I also apply language design and formal methods to build tools for creating and analyzing rule-based models of protein signaling. As part of the Big Mechanism DARPA project, which has the goal of automatically generating rule-based models from the scientific literature, my collaborators and I have been building a reasoning engine for exploring spaces of possible models. We have also been building analysis tools for better understanding the resulting models. With my previous work it has been a priority to remain within the bounds of first-order logic, but I have come to see the importance of reasoning about continuous and probabilistic domains. Stay tuned. diff --git a/src/data/compiled_bios/5541.txt b/src/data/compiled_bios/5541.txt new file mode 100644 index 0000000000..d5fabe3265 --- /dev/null +++ b/src/data/compiled_bios/5541.txt @@ -0,0 +1 @@ +Dr. Hodgins's research focuses on the coordination and control of dynamic physical systems, both natural and human-made and explores techniques that may someday allow robots and animated creatures to plan and control their actions in complex and unpredictable environments. Her current research focuses on generating motion for computer animation by using motion capture data in combination with physically realistic simulation. Hodgins and her students have used dynamic simulation to animate human behaviors such as running, bicycling, diving, and vaulting. She and her colleagues have also used human motion data to bias planning algorithms towards more natural postures, to construct interfaces for avatars, and to capture the motion of muscles and skin. Hodgins is now refining some of these techniques for the control of a humanoid robot. Hodgins and her students have also explored passive simulations for animating phenomena such as clothing, water, breaking objects, and explosions. diff --git a/src/data/compiled_bios/5542.txt b/src/data/compiled_bios/5542.txt new file mode 100644 index 0000000000..235a9d6e61 --- /dev/null +++ b/src/data/compiled_bios/5542.txt @@ -0,0 +1 @@ +My research interests are in the design and implementation of advanced programming languages and in applying programming language technology to improve the development, maintenance, and performance of software systems. I am particularly interested in the application of types to the structure and implementation of programming languages and software systems. One current focus of my research is on mechanized metatheory. The aim of mechanized metatheory is to give proof of the properties of programming languages (for example, the type safety property says that no well-typed program can crash or otherwise violate its interface) in a form that can be checked by a computer. Not only does this give us greater confidence of the correctness of our proofs, but it also makes it possible for the proof itself to become part of a software system. For example, we can use mechanized metatheory to provide a form of certified code. By equipping a program with a proof of type safety for the language it is provided in (this may be a source or executable language), we make it possible to determine the safety of the program automatically, simply by checking the proof and type-checking the program. Thus it is feasible to check the safety of programs in a purely automated fashion. Another current focus of my research is on the application of certified code to operating systems. Using certified code, we can replace the dynamic protection checks that are ubiquitous in systems today with purely static ones. Since dynamic checks can be unreliable and costly, this can improve the reliability and performance of software systems. Moreover, static checks have greater expressive power than dynamic checks, so they can offer a greater level of protection and security than existing means. diff --git a/src/data/compiled_bios/5543.txt b/src/data/compiled_bios/5543.txt new file mode 100644 index 0000000000..43dc34e1db --- /dev/null +++ b/src/data/compiled_bios/5543.txt @@ -0,0 +1 @@ +My research draws on insights from differential geometry and computer science to develop fundamental algorithms for working with real-world geometric data. I received my bachelor's degree from the University of Illinois at Urbana-Champaign and my PhD from the California Institute of Technology. My most recent work was supported by an NSF Mathematical Sciences Postdoctoral Fellowship at Columbia University. diff --git a/src/data/compiled_bios/5544.txt b/src/data/compiled_bios/5544.txt new file mode 100644 index 0000000000..80e7b49f37 --- /dev/null +++ b/src/data/compiled_bios/5544.txt @@ -0,0 +1 @@ +My current research projects include: 1.1 The CAPTCHA project. CAPTCHA is an acronym for "Completely Automatic Public Turing Test To Tell Computers Humans Apart." It is a kind of automatic sentry, a test that is made up, administered, and graded by a computer in order to permit humans but not bots to enter the Garden of Eden. One of the paradoxes of this project is to show how a computer can generate and grade a test that it (the computer itself) cannot pass! Current Captchas do this by putting a randomly chosen string of characters on a rubber sheet. They then deform the sheet to the point that OCR (Optical Character Recognition) cannot read the characters. Humans can read the deformed image, just as they can read the writing on a stained and twisted piece of paper. While the Captcha tester itself cannot read the deformed image, it can grade the test. This is because it remembers its initial choice of characters. 1.2 A good sound-based Captcha is needed for blind people (the blind are stopped by visual Captchas). I'm looking for someone interested to try her/his hand at this. 1.3 The Ultimate OCR (Optical Character Recognition) project. The Ultimate OCR is a program that can read anything that humans can read. ***NOTE: I do not propose to create the Ultimate OCR but to get the vision community to create it for us.*** The approach to the Ultimate OCR is to build an Ultimate Captcha that can ONLY be read by a human or by a device that can read everything that humans can read. We have ideas how to build such a device, but need someone to think these ideas through with us, make improvements, and then build the Captcha. This Ultimate Captcha would serve as a challenge to the Vision Community. As with previous challenges we have set, this challenge will almost certainly be taken seriously as it would be a maximally powerful automatic test of ability to read text. A bot that could pass this test would be able to read anything that a human can read. It's code would therefore constitute an Ultimate OCR. This work is joint with Luis von Ahn and anyone whom we accept to work on it with us. 2.1 CONSCSness: CONSCS = CONceptualizing Strategizing Control System. This project is a top-down complexity theoretic approach to understanding consciousness. The intent is to set down a very small number of axioms for CONSCSness and then prove theorems about the concept. Hopefully the theorems will make sense and teach us something about how to build a CONceptualizing Strategizing Control System. This work is joint with Ryan Williams and Brendan Juba. 2.2 Proof triangles. (Definition triangles. Algorithm triangles. etc.) One concrete consequence of our study of CONSCSness is a new view of proof that extends the traditional formal concept of proof to something that we call a "proof triangle." A proof triangle has a formal mathematical proof at the base of the triangle. The apex of the triangle is a bare minimal hint. The next level might be a more extended hint. The next a proof idea. Then a proof outline. Then several levels of informal proof, leading to the final complete formal proof. None of these levels is uniquely specified. There are many different hints possible just as there are many different formal proofs. Most mathematicians consider their theorems proved when they get a relatively high intermediate level of proof. Machines currently work only at the most formal level of proof. Little wonder that while machines can check proofs, they have difficulty constructing proofs. Our goal is to create machines that can prove nontrivial theorems. This work is joint with Matt Humphrey, Brendan Juba, and Ryan Williams. 3. The Human Oriented ID project. This is a cryptographic project to develop a challenge-response authentication protocol that a human can do entirely in his head: The human must be able to authenticate himself to a computer while a powerful adversary (one with a CRAY) -- who knows the protocol, listens on the line, and records every challenge and response -- should be incapable of learning to impersonate the human. This is a very hard problem. diff --git a/src/data/compiled_bios/5545.txt b/src/data/compiled_bios/5545.txt new file mode 100644 index 0000000000..a642036524 --- /dev/null +++ b/src/data/compiled_bios/5545.txt @@ -0,0 +1 @@ +I research in the area of Artificial Intelligence. My long-term research goal is the effective construction of autonomous agents where cognition, perception, and action are combined to address planning, execution, and learning tasks. I am interested in the continuous integration of reactive, deliberative planning and control learning for teams of multiple agents acting in dynamic and uncertain environments. I am interested in adversarial modeling, reuse, and abstraction in control learning for multiple agents. I also continue to investigate effective planning, execution, and learning algorithms for deterministic and nondeterministic multiagent domains within the research projects CORAL (Collaborate, Observe, Resaon, Act, and Learn), MAPEL (Multi-Agent Planning, Execution, and Learning), and the MultiRobot Lab. With my students, I have used robot soccer as a concrete testbed for research. We have developed teams of robot soccer agents in three different leagues that have been RoboCup world champions several times: simulation (1998,1999), CMU-built small-wheeled robots (1997,1998), and Sony four-legged robots (1998). I also research on the integration of planning and information retrieval, and the application of evolutionary computation and machine learning to the performance prediction of signal processing algorithms. diff --git a/src/data/compiled_bios/5546.txt b/src/data/compiled_bios/5546.txt new file mode 100644 index 0000000000..c2789a692d --- /dev/null +++ b/src/data/compiled_bios/5546.txt @@ -0,0 +1 @@ +My research tackles fundamental questions in Machine Learning, Algorithmic Game Theory, and Algorithms. My work develops deep new connections between these areas, using ideas and insights from each of them to solve some of their central and emerging challenges in innovative ways. Foundations for Machine Learning Machine learning studies the design of automatic methods for extracting information from data and has become a tremendously successful discipline with a wide variety of important applications in areas such as robotics, healthcare, information retrieval, and sustainability. Its past successful evolution was heavily influenced by mathematical foundations developed for several core problems including generalizing from labeled data. However, with the variety of applications of machine learning across science, engineering, and computing in the age of Big Data, re-examining the underlying foundations of the field has become imperative. A major goal of my research is to substantially advance the field of machine learning by developing foundations and algorithms for a number of important modern learning paradigms. These include interactive learning, where the algorithm and the domain expert engage in a dialogue to facilitate more accurate learning from less data compared to the classic approach of passively observing labeled data; distributed learning, where a large dataset is distributed across multiple servers and the challenge lies in learning with limited communication; and multi-task learning, where the goal is to solve multiple related learning problems from less data by taking advantage of relationship among the learning tasks. My goal is to provide new frameworks explaining the fundamental underlying principles, as well as new powerful, principled, and practical learning algorithms designed to satisfy the new types of constraints and challenges of these modern settings (including statistical efficiency, computational efficiency, noise tolerance, limited supervision or interaction, privacy, low communication, and incentives). Algorithmic Game Theory Traditionally, complex systems involving multiple agents each with their own interests in mind have been analyzed through purely game theoretic lenses, but technologies such as the Internet have triggered an increased growth of research concerning algorithmic aspects as well. Yet these approaches are often limited to studying static concepts. My work goes further and shows how machine learning methods can help tackle fundamental open questions regarding information-gathering and dynamics in these settings. For example, in past work, I showed an exciting application of machine learning to automate aspects of auction design and formally address problems of market analysis for designing combinatorial pricing mechanisms with near-optimal revenue guarantees. Along different lines, my current work develops a new approach to analyzing the overall behavior of complex systems in which multiple agents with limited information are selfishly adapting their behavior over time based on past experience. My goal is to develop general techniques for influencing the behavior of natural learning dynamics towards globally good states, as well as to provide powerful tools to reason about economic agents as adaptive, learning entities. Analysis of Algorithms beyond the Worst Case Many important optimization problems are unfortunately provably hard even to approximate well on worst-case instances. However, real-world instances often satisfy certain natural regularities or stability properties. A recent direction in my work is designing algorithms for important optimization problems with strong formal guarantees under natural stability assumptions about the input instances. For example, in the context of clustering I showed that approximation stability assumptions (implicit when modeling clustering as approximately optimizing a distance-based objective, e.g., k-means) could be leveraged to overcome worst-case hardness results. I am interested to further analyze in this framework other problems of finding hidden structure in data. I additionally plan to identify other meaningful and generally applicable models of computation beyond worst-case analysis, that accurately model real-world instances and could provide a useful alternative to traditional worst-case models in a broad range of optimization problems. diff --git a/src/data/compiled_bios/5547.txt b/src/data/compiled_bios/5547.txt new file mode 100644 index 0000000000..e538aad3be --- /dev/null +++ b/src/data/compiled_bios/5547.txt @@ -0,0 +1 @@ +Software now accounts for the lion's share of the cost of developing and using computer systems. My long-term goal is to establish a genuine engineering discipline to support the design and development of software systems. Currently I'm working on design methods and analytic techniques for building complete software systems out of subsystems and their constituentmodules. This is the software architecture level of design. I am particularly interested in value-based techniques for making good design choices early in the design process. My current research investigates two aspects of architectural design for software. Value-Driven Software Design. Current software design concepts largely overlook a simple but fundamental idea: the goal of software design decision making is to create the maximum value added for any given investment of valuable resources. Businesses value profit, but also opportunities, as seen in valuations of profitless Internet companies. Philanthropic foundationsvalue solutions to social problems. Universities value creation and dissemination of knowledge. End users value hassle-free access to information and a sense of control over their applications. Software design decisions today are made in an economics-independent Flatland, where concerns for technical properties dominate. Past work on software economics is relevant but it focuses on cost minimization, rather than value maximization. This research pursues scientific foundations forsoftware design decision-making approaches that are explicitly tied to value-maximization objectives. It explicitly balances costs and benefits as seen by particular stakeholders, and it emphasizes models, methods and tools that can be applied early in the design process, before code is available for analysis. Open Resource Coalitions. Widespread use of the Internet is enabling a fundamentally new approach to software development: computing through dynamically formed, task-specific, coalitions of distributed autonomous resources. The resources may be information, calculation, communication, control, or services. Unlike traditional software systems, which are at least nominally under control of the designer, these coalitions are formed from autonomous network-based resources, and the developer lacks direct control over the incorporated resources. These autonomous resources are independently created and managed. The resources may be transient, either because of the resource proprietors actions or because of service interruptions; indeed, the proprietor of a resource may be unaware of the ways the resource is used. Development tools for resource coalitions will require new degrees of autonomy and automation in order to identify,compose, and track the resources. Computing through resource coalitions will thus create novel architectural challenges and opportunities. Achieving useful results from such resources requires a new level of openness in the sense that responsibility for individual resources is distributed much more widely than responsibility for the results. The aggregations of resources are better treated as coalitions than as systems, because individual resources are operated under their own policies, and it may be necessary to reconstitute the coalition when the selection of available resources changes. This style of software creation is of particular significance for everyday users who roll their own individually tailored applications from available resources. diff --git a/src/data/compiled_bios/5548.txt b/src/data/compiled_bios/5548.txt new file mode 100644 index 0000000000..01606e497b --- /dev/null +++ b/src/data/compiled_bios/5548.txt @@ -0,0 +1 @@ +My research is directed at understanding fundamental security and privacy issues that lead to failures in real systems. Some of the key outstanding challenges in this area lie in figuring out why promising theoretical approaches oftentimes do not translate into effective defenses. Much of my work is concerned with developing formal analysis techniques that provide insight into the problems that might exist in a system, building countermeasures that give provable guarantees, and measuring the effectiveness of these solutions in real settings. Most of my current research focuses on issues of privacy and data confidentiality. To an even greater extent than with other security issues, our scientific understanding of this area lags far behind the need for rigorous defensive strategies. I believe that in order to reason effectively about privacy in software systems, we need ways to characterize and limit adversarial uncertainty and inference. To address this, I am pursuing several threads related to this topic. Privacy in machine-learning applications: Predictive models generated by machine learning methods are used extensively in modern applications. They allow analysts to refine complex data sources into succinct programs that produce valuable information about underlying trends and patterns. A large body of previous research examines the risks that arise when these data sources contain sensitive or proprietary information, and are leaked either in their original form or after "anonymization". Much less well-understood are the risks that arise when machine learning models trained over these data sources are made available through applications. Although recent frameworks like differential privacy have started to shed light on this issue, it is often unclear how the underlying mathematical guarantees offered by these frameworks impact specific, tangible privacy concerns in real applications. The goal of this work is to develop a precise characterization of this threat, so that we can identify troublesome applications before they are published, as well as understand how to design and apply countermeasures that prevent it. Support for privacy-aware programming: Increasingly often, applications rely on detailed personal data collected from users---despite growing awareness among users and administrators of the risks involved with disclosing such information. A number of theoretical frameworks have emerged that give precise notions of acceptable disclosure, allowing developers to provide personal data-driven functionality while still placing hard limits on the degree to which confidentiality could be breached. The main appeal of these frameworks is their ability to provide rigorous guarantees, but subtle implementation mistakes often obviate these guarantees in practice. The goal of this work is to develop formal methods and language-based techniques that allow those without domain expertise to write correct, privacy-aware programs. Central to my approach has been developing automated reasoning techniques for logics with counting. These logics allow us to reduce adversarial uncertainty of confidential state to a series of constrained counting problems that are amenable to formal methods. Making effective use of this reduction in large-scale program analysis is ongoing work. Analysis of probabilistic programs: Probabilistic programming languages allow developers to specify generative models of probabilistic processes, and to condition these models on observed data. The "compiler" performs inference on the model specified in such a program, computing a posterior distribution over its parameters. By separating the task of model specification from inference, these languages make it possible for developers who lack domain expertise to exploit sophisticated statistical techniques in their applications. As such, they are often proposed as a promising approach to bring machine learning "to the masses". However, by forcing developers to write probabilistic assumptions and goals in a precise language with well-defined semantics, they also make it possible to reason formally about the properties embodied by their trained models. The goal of this work is to build analysis techniques that allow developers to make strong guarantees about the results of inference, and how they relate to security and privacy goals in machine learning applications. diff --git a/src/data/compiled_bios/5549.txt b/src/data/compiled_bios/5549.txt new file mode 100644 index 0000000000..eb4950bb14 --- /dev/null +++ b/src/data/compiled_bios/5549.txt @@ -0,0 +1 @@ +I work on robotic manipulation. The ability to deal with almost any random object that comes along is the most astonishing thing that humans and other animals do, and the most intriguing challenge in robotics. My main focus is the Simple Hands Project. Here's the idea. Most robot hands can be classified as either simple or complex. Simple hands are like pliers or tongs, but highly specialized. Often they are designed to handle just one specific object. Despite this limitation, simple hands are by far the most common in practical applications. Because of the highly specialized nature of most simple grippers, many roboticists work on complex hands, usually anthropomorphic, with lots of fingers, joints, motors and sensors. Despite decades of work on these hands, their success in general-purpose manipulation is still only a distant dream. Here's an interesting observation on simple hands. When attached to a brain, rather than a computer, they are very capable. A human with a simple prosthetic hook can run circles around any robotic system. There are two lessons to learn from this. The first lesson: simple hands do not have to be specialized. The second lesson: general purpose manipulation is a function of the brain, not the hand. This suggests that robotics research should shift focus from complex hands to simple hands. Simple hands are easier to understand, and hence better suited to scientific research. Of course they are also tougher, lighter, cheaper ... they are handier. Simple Hands is primarily a computer science project, but with important contributions from applied mechanics. The main challenges are perception and planning. Perception uses all available information to determine what is in the hand, and planning chooses actions to achieve an end goal. Both are founded on a machine learning approach, employing experimental data from thousands of trials. In short, the robot messes with things to learn how they behave, how to sense them, and how to manipulate them. diff --git a/src/data/compiled_bios/555.txt b/src/data/compiled_bios/555.txt new file mode 100644 index 0000000000..d5573012bf --- /dev/null +++ b/src/data/compiled_bios/555.txt @@ -0,0 +1 @@ +Todd Dupont Professor, Departments of Computer Science and Mathematics and the James Franck Institute Senior Fellow, Computation Institute Email: dupont@cs.uchicago.edu Phone: (773) 980-9558 Office: JCL 246 Website: people.cs.uchicago.edu/~dupont Research: scientific computing Research My research deals with the analysis, evaluation and construction of numerical methods to approximate the solutions of partial differential equations (PDEs). The question of how to make effective use of computers with multiple processing units is one that is being investigated in several ways. I have recently produced several schemes that involve decomposing the computational domain into subregions and organizing the computation so that the work on each of these subdomains can be done almost independently of the others. This work was for parabolic PDEs and I am studying its extension. Including adaptivity in numerical methods can make them more robust and efficient. Most simulations of time dependent problems use adaptivity for the control of the time step, and substantial progress has been made by many people in understanding how to control the spatial mesh when approximating PDEs. I have worked on this for several years. I am currently collaborating with physicists and mathematicians on questions related to instabilities and singularity development in the flow of fluids and psuedo fluids. Projects ASCI Flash diff --git a/src/data/compiled_bios/5550.txt b/src/data/compiled_bios/5550.txt new file mode 100644 index 0000000000..aca4310968 --- /dev/null +++ b/src/data/compiled_bios/5550.txt @@ -0,0 +1 @@ +I am interested in making robots act purposefully and successfully in a world in which most everything is uncertain. Sensors are noisy, actions are imprecise, and models are faulty. I wish to understand how these uncertainties interact and how to overcome them. My research draws on tools from geometry, mechanics, planning, probability, and topology. Most recently I have explored topological methods for planning and control. Topology allows a system to abstract connectivity properties, filtering out the imprecision caused by uncertainty. For instance, one recent novel topological result is a graph controllability theorem: A system can reach any state in a graph with control uncertainty if and only if the graph's strategy complex is homotopic to a sphere of dimension two less than the number of states in the graph. diff --git a/src/data/compiled_bios/5551.txt b/src/data/compiled_bios/5551.txt new file mode 100644 index 0000000000..6a0932db45 --- /dev/null +++ b/src/data/compiled_bios/5551.txt @@ -0,0 +1 @@ +Looking for mathematically strong student who likes to prove theorems and enjoys learning new math techniques. I am interested in the performance analysis and design of computer systems, particularly distributed systems. I work on finding analytical models which capture the important characteristics of a computer system and allow me to redesign the system to improve its performance. I believe that many fundamental conventional wisdoms on which we base system designs are not well understood and sometimes false, leading to inferior designs. My research challenges these age-old beliefs. Here are just a few examples: Thousands of "load balancing" heuristics do exactly that -- they aim to balance the load among the existing hosts. But who said that's neccessarily a good thing? Migration policies for networks of workstations and distributed servers direct jobs to the host with least load. That seems good from the job's perspective, but is it best for the system overall? Given a choice between a single machine with power p , or n identical machines each with power p/n, which would you choose? Migrating active jobs is generally considered too expensive. Killing jobs midway through execution and restarting them from scratch later is even worse! Says who? Ever notice that the "proven best" scheduling policies like SRPT (shortest-remaining-processing-time-first) are never used in practice? There's a fear that the big jobs will starve. Is this true? Half my students work on mathematical techniques to derive theorems such as those above. These techniques include: queueing theory, probability theory, scheduling theory, Markov chains, stochastic processes, Matrix-analytic methods, renewal theory, real analysis, andmore. The other half of my students work on applying these theorems to implement high-performance Web servers, database systems, and distributed supercomputing servers. diff --git a/src/data/compiled_bios/5552.txt b/src/data/compiled_bios/5552.txt new file mode 100644 index 0000000000..06bfefd949 --- /dev/null +++ b/src/data/compiled_bios/5552.txt @@ -0,0 +1 @@ +I am interested in understanding physical interaction with the environment --- how do we select and apply exactly the right forces to maneuver bulky and heavy objects, scramble over large rocks using both hands and feet, or use hand held tools? In robotics, a better understanding of these interaction forces can help us create more dexterous robots that are able to operate in an environment such as the home. In particular, we would like to create natural grasping and manipulation behavior using measured human examples as a resource. In initial experiments we have demonstrated a humanoid robot tumbling a variety of large, heavy objects using a strategy derived directly from a human example. Some of the questions that remain to be answered are "what does it really mean for a robot to perform a task in the same way as a person?", and "how can we convert a collection of measured human examples into a robust control policy for a robot?" In computer graphics, an understanding of interaction forces can help us to create more natural looking motion when a character climbs, performs athletic maneuvers, or manipulates objects. We have developed fast techniques for computing optimal, physically plausible motion. We are also exploring the importance of physical correctness in graphics applications. How physically incorrect can motion be before people start to notice? In other words, how much can we cheat? One of my particular areas of interest in both robotics and graphics is the hand. Modeling convincing hand motion is very difficult; in fact the hand itself has almost as many degrees of freedom, or directions of motion as is typically used to model the entire rest of the body! However, observed motion of the hand often appears to be much less complex. By studying examples of human hand motion and studying human hand anatomy, we hope to characterize hand behavior in a way that can be exploited for easier control of animated hands and effective control of robot hands. diff --git a/src/data/compiled_bios/5553.txt b/src/data/compiled_bios/5553.txt new file mode 100644 index 0000000000..dd046f6610 --- /dev/null +++ b/src/data/compiled_bios/5553.txt @@ -0,0 +1 @@ +I am interested improving the performance and energy efficiency of future processors. One major challenge faced by processors today is the rising cost of moving data onto and within the chip. My research has developed hardware and software techniques that tackle this important problem. Reconfigurable memory systems. To reduce data movement, applications need their data placed nearby on-chip, but also require enough cache capacity to fit their working sets. This project introduces virtual caches, which reconfigure the physical cache banks in the system into an organization that meets both requirements. Essentially, virtual caches schedule data across the chip to achieve an application-specific design while remaining transparent to applications. Data scheduling requires new hardware mechanisms and algorithms to implement efficiently. Virtual caches significantly reduce data movement in multicore processors, e.g., halving the energy spent moving data in a 64-core processor. We are now looking at how to apply this technique to further reduce data movement, e.g., by co-scheduling threads and data, by extending it across a network of processors, and by applying it in tandem with specialized cores. Analytical caching policies. In addition to scheduling data across the chip, it's important to make the best use of the limited cache capacity available. This project's goal is to understand cache behavior under different access patterns and policies, and then use these insights to develop policies that maximize cache performance. The key challenge is the uncertainty in how programs behave, which is addressed using a formal probabilistic model of memory references. This mathematical model enables accurate predictions of cache behavior, which is useful to manage caches between competing applications. It also yields policies that outperform the best heuristics while avoiding their pathologies. Going forward, we are applying these techniques to caches elsewhere in computer systems. diff --git a/src/data/compiled_bios/5554.txt b/src/data/compiled_bios/5554.txt new file mode 100644 index 0000000000..84ef2c2125 --- /dev/null +++ b/src/data/compiled_bios/5554.txt @@ -0,0 +1 @@ +Dr. Reddy's research interests include the study of human-computer interaction and artificial intelligence. His current research projects include spoken language systems; gigabit networks; universal digital libraries; and distance learning on demand. diff --git a/src/data/compiled_bios/5555.txt b/src/data/compiled_bios/5555.txt new file mode 100644 index 0000000000..3469022f9a --- /dev/null +++ b/src/data/compiled_bios/5555.txt @@ -0,0 +1 @@ +My current research interests are split between techniques for formally verifying hardware and software, plus a new style of parallel computing we call Data-Intensive Super Computing. In formal verification, we have developed a number of methods over the years for representing system operation, specifying desired properties of the system, and then either proving the system satisfies the properties or determining ways it can fail. Much of our success has been built on methods for representing and reasoning about Boolean functions. Most recently, we have raised the level of abstraction up to word-level models, viewing a word as either a bounded or unbounded integer. Our work combines modeling, verification tools, and ways to reason about the underlying logic. Data-Intensive Super Computing, or "DISC" seeks to create a class of systems that will enable computing over massive data sets. Currently, systems of this type are created by Google and its competitors to support web search, but we believe the ideas can be applied to many other domains, including computational biology, medicine, and commerce. It will involve research activities in system design, programming models and languages, parallel algorithms, and application areas such as machine learning and natural language processing. diff --git a/src/data/compiled_bios/5556.txt b/src/data/compiled_bios/5556.txt new file mode 100644 index 0000000000..603eebdd67 --- /dev/null +++ b/src/data/compiled_bios/5556.txt @@ -0,0 +1 @@ +Broadly, my research interests lie in the area of computer and networked systems. I take a holistic approach towards solving real-world problems considering both theoretical and systems perspectives. I am interested in designing solutions rooted in fundamental theory and in building systems that employ these solutions and insights to advance the state-of-the-art. In the recent past, my research has focused on fault tolerance, resource efficiency, load balancing and reducing latency in large-scale distributed data storage and caching systems. We designed coding theory based solutions that we proved are theoretically optimal; we also built systems using these solutions and evaluated them on Facebook's data-analytics cluster and on Amazon EC2 showing significant benefits over the state-of-the-art. The solutions that we proposed are now a part of Apache Hadoop 3.0 and under consideration by several companies for use in their storage and analytics products.For more details on my research, please visit my homepage: http://www.cs.cmu.edu/~rvinayak/ diff --git a/src/data/compiled_bios/5557.txt b/src/data/compiled_bios/5557.txt new file mode 100644 index 0000000000..9d119443c6 --- /dev/null +++ b/src/data/compiled_bios/5557.txt @@ -0,0 +1 @@ +The goal of my research is to develop a comprehensive theory of programming that integrates with the practice of software development. The premise of my research is that programming is an explanatory activity, a form of expression intended to convey an idea that is both comprehensible by other people and executable by a computer. Language therefore plays a central role in programming. The overall goal of my work is to develop a language for computation that serves both purposes. The focus of my work is on the development and application of type theory as the language of computation. As the name implies, the central organizing principle of type theory is the concept of a type. For example, familiar tree and graph structures may be viewed as instances of the general concept of an inductive type, infinitary data structures such as streams of values may be viewed as coinductive types, and language features such procedures or objects may be viewed as instances of the general concept of a function. A beauty of type theory is that it provides a rich framework that accounts not only for the computational aspects of programming, but also the reasoning involved in ensuring that a program behaves correctly. The main tool is the propositions-as-types principle in which specifications, or propositions, are identified with types, and proofs are identified with programs. A proof, after all, is a step-by-step procedure for transforming assumptions into conclusions; it is, therefore, a program that takes assumptions as inputs and produces proofs as outputs. The theorem statement is a specification, or type, of this input-output behavior. Another beauty is that type theory connects directly to the language of mathematics through the concept of a category, a very general kind of algebraic structure. Types correspond to structures, such as topological spaces, and programs correspond to structure-preserving mappings between them. This provides a pathway for integrating the language of mathematics with the language of programming. diff --git a/src/data/compiled_bios/5558.txt b/src/data/compiled_bios/5558.txt new file mode 100644 index 0000000000..b738cd1142 --- /dev/null +++ b/src/data/compiled_bios/5558.txt @@ -0,0 +1 @@ +My work is focused on various aspects of computer music, a field which poses many challenges for computer science. A central problem in computer music is expressive control, that is, the detailed control of timing, gesture, nuance, and tone quality that is essential to music. This problem has many facets, resulting in a variety of research directions. The Computer Music Project has developed new languages, development tools for real-time systems, synthesis techniques, and music understanding systems. This research is more than intrinsically interesting. It can shed light on related problems in real-time systems, multimedia, human-computer interaction, and artificial intelligence. Moreover, new possibilities of control and interaction in music are changing the very nature of music composition, performance, and aesthetics. One research example is the development of new languages for expressing temporal behavior. One of these is Nyquist, a language that provides a single abstraction mechanism for the seemingly different notions of "note," "instrument," and "musical score." Nyquist gives composers an elegant, uniform notation that spans the range from low-level digital signal processing to high-level music composition. Nyquist is not intended for interactive real-time sound generation, but concepts from Nyquist are incorporated in other systems, including one of our own named Aura. Expressive control of musical tones is another topic of research. A violin is expressive because there are many parameters under continuous control by the player, including bow pressure, finger and bow positions, and bow velocity. These give rise to variations in the resulting sound. My colleagues and I have developed a synthesis technique, spectral interpolation, which allows us to synthesize tones with interesting variations in spectra. Spectral interpolation has been used to accurately synthesize a variety of instruments. In the future, we will use this technique to give composers and performers greater intuitive control over synthesized sound. The main focus of my current research is to develop artificial computer musicians that can perform live with humans, especially in steady-beat or popular music. This task is difficult because even small synchronization errors are obvious, performers often improvise, the global structure and other details of the performance are not always known in advance, and even the choice of notes and rhythms is often left to the performer. diff --git a/src/data/compiled_bios/5559.txt b/src/data/compiled_bios/5559.txt new file mode 100644 index 0000000000..da842a90f8 --- /dev/null +++ b/src/data/compiled_bios/5559.txt @@ -0,0 +1 @@ +My research is broadly in the area of computational biology, with particular emphasis on models and algorithms for studying complex systems in biology. My group is currently pursuing two major areas: Genetic variation analysis. Since the human genome was first sequenced in 2002, the field of human genetics has turned its attention to identifying the millions of small differences that distinguish one human being from another. Most of these differences are in the form of single DNA bases that vary from one person to another, which are called single nucleotide polymorphisms (SNPs). My group has worked on models and algorithms to analyze large datasets of SNPs and infer evolutionary trees (phylogenies) and more complex population models that tell us how modern human populations arose from the earliest human ancestors and how our genome has evolved over that time. Our largest area of research in recent years has been the development of similar phylogenetic and population genetic methods to study evolution of cell populations in tumors. Algorithms for macromolecular assembly simulation. One of the recurring features of molecular biology is self-assembly, a process by which isolated molecules spontaneously join together to build structures or molecular machines. Self-assembly is required for nearly every important function a cell undergoes, including division, movement, shape control, and synthesis and degradation of DNA, RNA, and proteins. Biological self-assembly systems are also an important model for the development of novel nanotechnology. They are, however, very challenging to standard methods for simulating biochemistry because of their large size and the long time scales on which they operate. My group develops algorithms to accelerate stochastic models of these assembly systems, builds simulation systems based on these algorithms, and applies them to investigate properties of assembly systems that are difficult to explore through laboratory experiment. In recent years, we have particularly been interested in combining such models with numerical optimization algorithms to fit stochastic models to experimental data and, in the process, learn how these systems function at much finer scales than can be measured experimentally. In addition to these two core areas, we are involved in many side projects, usually in collaboration with experimentalists. Over the past few years, these projects have included work on modeling biomedical systems, developing more realistic models of biochemistry in the cell, and developing new methods for deconvolving complex genomic data sets from heterogeneous cell populations, primarily with application to cancer genomics. These projects draw on a wide variety of computational tools from discrete algorithms, operations research, applied mathematics, statistics, and machine learning. diff --git a/src/data/compiled_bios/556.txt b/src/data/compiled_bios/556.txt new file mode 100644 index 0000000000..7f69bc190e --- /dev/null +++ b/src/data/compiled_bios/556.txt @@ -0,0 +1 @@ +William Conner Assistant Clinical ProfessorMasters Program in Computer Science Email: wconner@uchicago.edu Phone: 773-834-3388 Office: JCL 315 Website: https://masters.cs.uchicago.edu/page/william-conner diff --git a/src/data/compiled_bios/5560.txt b/src/data/compiled_bios/5560.txt new file mode 100644 index 0000000000..3251fbaab7 --- /dev/null +++ b/src/data/compiled_bios/5560.txt @@ -0,0 +1 @@ +My research interests are: . Fourier Analysis of Boolean functions . Constraint satisfaction problems: random instances and inapproximability . Quantum computation and information theory . Complexity theory, especially concrete complexity and proof complexity . Probability theory . Property testing and learning theory diff --git a/src/data/compiled_bios/5561.txt b/src/data/compiled_bios/5561.txt new file mode 100644 index 0000000000..4b884d65b5 --- /dev/null +++ b/src/data/compiled_bios/5561.txt @@ -0,0 +1 @@ +My research theme centers around the design and manufacture of systems which contain massive numbers of components. My goal is to understand how to build robust and useful systems which can scale towards millions, billions or even Moles of components. While my main emphasis is on manufactured artifacts, I am also interested in how distributed systems of people can be effectively designed. In pursuit of this goal I am working in several different areas of computer science, electrical engineering, robotics, and public policy. My current main projects are The Claytronics Project (programmable Matter and Emergent Behavior) and Government 2.0. Past projects include the Phoenix project (www.cs.cmu.edu/~phoenix). The goal of the Claytronics project (www.cs.cmu.edu/~claytronics) is to develop a form of programmable matter which moves programmability from the domain of computing into the domain of everyday matter. The idea is to create an ensemble of millions of very simple particles (the size of a grain of sand), each of which can compute, communicate, move, and adhere to one another. When taken as a whole, the ensemble can run a program which will result in the ensemble forming arbitrary dynamic shapes which can exert forces in the real world. In pursuit of this goal we are experimenting with building robots, developing programming languages, designing new debugging tools, creating new distributed algorithms, and studying emergence. Meld, a programming language for massively distributed and concurrent systems, is one of the out growths of the Claytronics project. We are currently looking at how to use Meld to program both ensembles and more traditional parallel systems including multi-core processors and the cloud. In addition to building sub-mm robots for the Claytronics project we are also pursuing more near-term goals of creating ensembles of smart interacting Lego-like blocks on the scale of tens to hundreds of units. These blocks, known as BlinkyBlocks, have been used by students around the world to play with the ideas behind programmable matter and develop a new understanding of how to program massively distributed systems. Government 2.0 is looking at how to harness prevalent web tools with model checking and simulation to construct a system which crowd sources governence at a local, state, and country wide level. diff --git a/src/data/compiled_bios/5562.txt b/src/data/compiled_bios/5562.txt new file mode 100644 index 0000000000..ccb90db435 --- /dev/null +++ b/src/data/compiled_bios/5562.txt @@ -0,0 +1 @@ +My primary interests are in the broad areas of network protocols and distributed network applications. In the past, I have worked on topics such as transport/routing protocol interactions with wireless networks, sensor networking, fast protocol stack implementations, RAID system design, performance prediction for Internet transfers, firewall design, and improvements to the TCP protocol. The following two projects are examples of my current research efforts. Next Generation Network Architectures. While the Internet has been a great success and supported a wide range of interesting applications, its design is beginning to show its age. My current research is exploring new network protocols and entire network architectures that address the network's shortcomings and provide better support for the next generation of Internet applications. The eXpressive Internet Architecture (XIA) project is a part of this work that explores a clean-slate redesign of the Internet architecture. The primary goal of the XIA architecture is to create a robust and reliable network that easily supports the evolution of in-network functionality over time. In addition to XIA, my research also explores implications of the fact that video content delivery now dominates all forms of traffic on the Internet and is likely to continue dominating for the foreseeable future. My group is exploring both new protocols, content delivery mechanisms and network management techniques that both address the challenges and take advantage of the opportunities created by this flood of video traffic. Wireless Networks and Mobile Systems. Over the past few years smartphones have gone from being a relatively rarity to becoming nearly ubiquitous. These phones are one of the few items that we take almost everywhere. People use phones to take photos, make appointments, find restaurants, browse the Web and keep in touch with their social and business contacts. The information that we reveal to these smartphones and their ability to make observations about their surroundings give them the unique ability to make observations about our lifestyles and our environment in a highly detailed fashion. My research explores the systems challenges in making these observations useful and accessible. This includes designing the software on devices to accurately collect data in a power- efficient fashion, designing changes to the infrastructure to enable the efficient and scalable collection of data from handsets, and managing the privacy issues that arise from this data collection. diff --git a/src/data/compiled_bios/5563.txt b/src/data/compiled_bios/5563.txt new file mode 100644 index 0000000000..1f1f63e75d --- /dev/null +++ b/src/data/compiled_bios/5563.txt @@ -0,0 +1 @@ +My main interests concern the mathematical semantics of programming languages. I believe that proper attention to semantic foundations can yield significant benefits in developing techniques for proving properties of programs, in program design, in language design and implementation. I am particularly interested in developing intensional semantic models, in which one is able to reason both about the correctness and efficiency of programs. This is in contrast to most traditional semantic models, which are extensional and focus on the input-output behavior of programs while abstracting away from computation strategy. I am working mainly on the semantic foundations of parallelism. This work includes the development of axiomatic proof techniques for establishing behavioral properties of parallel systems, design rules for parallel networks that guarantee desirable behavior such as deadlock-freedom, and the design and implementation of programming languages that employ parallelism uniformly and cleanly. A semantics for a programming language is an assignment of meanings to program terms. For a semantics to be useful it should accurately capture the computational behavior of program terms, at an appropriate level of abstraction. I believe that major improvements in the formal treatment of program properties can be achieved by paying careful attention to semantics. If we want to reason about a particular behavioral notion (such as partial correctness) we should first define a mathematical model for programs which precisely captures this behavior without being overly complicated. Ideally, we would like a fully abstract semantics: terms should be given the same meaning precisely when the terms would induce identical behavior in all program contexts. The construction of fully abstract models is by no means an easy task, and depends in any case on the underlying notion of behavior. For modelling and reasoning about certain types of program behavior, such as partial or total correctness, an extensional semantics is satisfactory: the meaning of a program can be chosen to be a (partial) function from initial states to final states, and all details of how the program goes about its computation can be suppressed since all we really need to keep track of is the state transformation that the program induces. However, such a semantics is no use if we want to make comparisons between programs for the same function. In an extensional semantics all sorting programs have the same meaning, whereas we might well want to design a semantics with which we can compare sorting programs with different computation strategies. This motivation leads to a desire for a theory of intensional semantics. In an intensional semantics the meaning of a program is taken to be an algorithm rather than simply a function. An algorithm can be viewed as a function together with a (mathematical representation of a) computation strategy. I have recently developed a category-theoretic approach to the modelling of algorithms, and applied these ideas to the semantics of the lambda calculus. In the resulting semantic model, there is a complete partial order on algorithms and standard operations such as composition, application, and currying are continuous; thus, one may define algorithms recursively and use the standard techniques of denotational semantics (least fixed points) to reason about recursive programs, even at this intensional level. This approach using categories is rather general, and I am exploring several other possible applications. Semantic principles and insights should be used in the design of new programming languages, to avoid the development of cumbersome languages in which the programmer may have to labor to overcome the syntactic quirks and idiosyncrasies of the programming language in order to express his algorithm as a program. I am particularly interested in designing a language that embodies parallelism uniformly: it ought to be as easy to specify parallel expression evaluation as it is to specify parallel execution of statements, and it ought to be easy to put together the results of parallel activities. The choice of an appropriate set of primitives for such a language should be guided by proper attention to semantic foundations, and I am carrying out research on this topic. diff --git a/src/data/compiled_bios/5564.txt b/src/data/compiled_bios/5564.txt new file mode 100644 index 0000000000..ebe772a020 --- /dev/null +++ b/src/data/compiled_bios/5564.txt @@ -0,0 +1 @@ +The main focus of my research is in complexity theory and the foundations of cryptography. The wide applicability of the technical ideas in these two areas has allowed me to extend my work into learning theory, probability theory, and combinatorics. I concern myself with the fundamental questions of each field: How can one obtain a separation result for interesting complexity classes? How can one reduce the security of a cryptographic protocol to the security of a simple primitive? What is a powerful inference method? How can one generalize probability theory to a theory where the events are almost independent? I work most actively is the meta-theory of the above areas. This means questions like: What are the reducibilities among the above questions? What are the reducibilities among approaches to these questions? When are the perceived technical barriers to their answers related? When are they inherent? I will mention two examples of these meta-theoretical results. Much of cryptography concerns the reduction of the security of complex protocols to the security of simpler ones. The most important question along these lines is whether a public-key cryptosystem can be based on a black-box, private-key system (such as the Clipper chip). Russell Impagliazzo and I showed that any proof of this particular reduction would contain inside it a proof that P
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+ + + + + + + \ No newline at end of file diff --git a/src/write_file_names.py b/src/write_file_names.py new file mode 100644 index 0000000000..b966e6600e --- /dev/null +++ b/src/write_file_names.py @@ -0,0 +1,84 @@ +import os,codecs,json + +def main(dir_,out_file1,out_file2,dept_path,uni_path,names_path,url_path,loc_path,email_path,filter_file1,filter_file2): + with open(uni_path,'r') as f: + unis = f.readlines() + + with open(dept_path,'r') as f: + depts = f.readlines() + + with open(names_path,'r') as f: + names = f.readlines() + + with open(url_path,'r') as f: + urls = f.readlines() + + with codecs.open(loc_path,'r',encoding='utf-8',errors='ignore') as f: + locs = f.readlines() + + with codecs.open(email_path,'r',encoding='utf-8',errors='ignore') as f: + emails = f.readlines() + + + max_len = 15 + max_parts = 3 + non_names = ['curriculum','vitae','bio','professor','assistant',')','(','--','nat','center','sitemap','u.','2002','washington'] + + corrected_names = [] + + for name in names: + parts = name.strip().split() + corrected_name = '' + for part in parts[:max_parts]: + if len(part)<=max_len and part.lower() not in non_names and part.title() not in corrected_name.split(): + corrected_name += ' '+part.title() + corrected_names.append(corrected_name) + + + num_bios = len(os.listdir(dir_))-5 + + print(emails[-2:],len(emails),len(corrected_names),len(locs),len(depts),len(unis),num_bios) + + with open(out_file1,'w') as f1: + with codecs.open(out_file2,'w',encoding='utf-8',errors='ignore') as f2: + for i in range(num_bios)[:-1]: + f1.write('[None] '+str(i)+'.txt') + f1.write('\n') + if emails[i]=='\n': + emails[i]='None' + f2.write(str(i)+'.txt'+'\t' + +unis[i].strip()+'\t'+depts[i].strip()+'\t'+corrected_names[i]+'\t'+urls[i].strip()+'\t'+locs[i].strip()+'\t'+emails[i].strip()) + f2.write('\n') + + f1.write('[None] '+str(num_bios-1)+'.txt') + if emails[num_bios-1]=='\n': + emails[num_bios-1]='None' + f2.write(str(num_bios-1)+'.txt'+'\t' + +unis[num_bios-1].strip()+'\t'+depts[num_bios-1].strip()+'\t'+corrected_names[num_bios-1]+'\t'+urls[num_bios-1].strip()+'\t'+locs[num_bios-1].strip()+'\t'+emails[num_bios-1].strip()) + + unis_dict = {"unis":sorted([uni.strip() for uni in list(set(unis))])} + all_countries = set() + all_locs = set() + + for loc in locs: + country = loc.split('\t')[1] + all_countries.add(country.strip()) + all_locs.add(loc.replace('\t',', ').strip()) + + all_countries = sorted(list(all_countries)) + all_locs = sorted(list(all_locs)) + all_locs = all_countries + all_locs + + locs_dict = {"locs":all_locs} + + json.dump(unis_dict,open(filter_file1,'w')) + json.dump(locs_dict,open(filter_file2,'w')) + + + +if __name__ == '__main__': + main('../data/compiled_bios','../compiled_bios/dataset-full-corpus.txt','../data/compiled_bios/metadata.dat','../data/depts','../data/unis','../data/names.txt','../data/urls','../data/location','../data/emails','../data/filter_data/unis.json','../data/filter_data/locs.json') + + + + diff --git a/src/wsgi.py b/src/wsgi.py new file mode 100755 index 0000000000..793e1d8736 --- /dev/null +++ b/src/wsgi.py @@ -0,0 +1,13 @@ +from server import app +import os +import json + +environ = os.environ.get("APP_ENV") +dataconfig = json.loads(open("config.json", "r").read()) +app.dataenv = dataconfig[environ] +app.rootpath = dataconfig[environ]['rootpath'] +app.datasetpath = dataconfig[environ]['datasetpath'] +app.searchconfig = dataconfig[environ]['searchconfig'] + +if __name__=="__main__": + app.run()